From 40982c7588112850bb3142f54a83142be4d7123d Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 8 Aug 2024 14:41:13 +0300 Subject: [PATCH 001/183] 2.3 library update --- epyt/epanet.py | 2 +- epyt/libraries/win/2.2/epanet2.dll | Bin 0 -> 349184 bytes epyt/libraries/win/2.2/epanet2.exe | Bin 0 -> 11776 bytes epyt/libraries/win/2.2/epanetmsx.dll | Bin 0 -> 147456 bytes epyt/libraries/win/2.2/epanetmsx.exe | Bin 0 -> 12288 bytes epyt/libraries/win/epanet2.dll | Bin 349184 -> 535552 bytes testing.py | 4 ++++ 7 files changed, 5 insertions(+), 1 deletion(-) create mode 100644 epyt/libraries/win/2.2/epanet2.dll create mode 100644 epyt/libraries/win/2.2/epanet2.exe create mode 100644 epyt/libraries/win/2.2/epanetmsx.dll create mode 100644 epyt/libraries/win/2.2/epanetmsx.exe create mode 100644 testing.py diff --git a/epyt/epanet.py b/epyt/epanet.py index b9de5ae..fd614fb 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -530,7 +530,7 @@ def __init__(self, *argv, version=2.2, ph=False, loadfile=False, customlib=None, # Node types self.TYPENODE = ['JUNCTION', 'RESERVOIR', 'TANK'] # Constants for pumps - self.TYPEPUMP = ['CONSTANT_HORSEPOWER', 'POWER_FUNCTION', 'CUSTOM'] + self.TYPEPUMP = ['CONSTANT_HORSEPOWER', 'POWER_FUNCTION', 'CUSTOM', ''] # Link PUMP status self.TYPEPUMPSTATE = ['XHEAD', '', 'CLOSED', 'OPEN', '', 'XFLOW'] # Constants for quality diff --git a/epyt/libraries/win/2.2/epanet2.dll b/epyt/libraries/win/2.2/epanet2.dll new file mode 100644 index 0000000000000000000000000000000000000000..5b4a7a182ce94e3dd0c123e47fe4210b9678cf30 GIT binary patch literal 349184 zcmeEvdw5jU)%Q#;Fks@D2xw50QAayAD51eR>EP=OOvo7+AQUV?5n_WF3e_kxf*KRj zNeJU%0E?~mwXNFA+uCZYRWV3kO$d;LYrq?b7rfM-F;Wp*4WQ2V`|W+sTtd{o-}gP= zUtgZ*WcJyYwbx#I?X}lld+mLuU9;YjZLwH#@FWrzODlf)=N13I`riR0pFaB8(=AU8 z*?oSiHMsly*)@xoIcjgc`NmtX|DmJ$`kQXLIpp~M4USvGH#rvHxn;%s*O_rgEf+XW%NlC296*a(ts=VX!z_!%E`lpX48w@Z zRP)8vpFM7Tc9+5s&9u?CgmD z>EF?8OO-@*z>=4RZdegQO5-a4PL$bpc6QpI!(yqr?AC?Xhpx9+x}Qe^U|QPn`&uSK zUa-YwGMnYy`AB~pfE@V!c_u*QYrCvgW)y8iTP^>Ae1AP9pVvUoQhz$qE0B*ko;W3+ z!>HDB*oX8g|e|E(=7Rx5^wnhKv<5?C}JD@hVg-?%kB~)#mvsjI6bu8#mW2+Z}q4gi_wp!Gf zRx=Xe+hlm@*$DrD;pk{lqNGih*_HfbeT8atsng+`&05P!-t}p5RXf<(_!N4Hb$2%Y z-U#`l4dVXw$!PzHNJTr%)0Cx0WkW<2|zabWEb$%XN(pkxgRn5u=7N^e(lBb zx8p+jTU2C4gMRHqp3Vpx!X}rr^{#I{i9qk#RAnNx+u{it_6Trnx(mr_cIx7JBrzjPRHK zHi(W5D}*NUUkoNh)rZ1kkj7CQvJuRiBf*rh5q8whSMOO_md<9AhP^|z7a048*GTB4 zvhUDsbxu`7j~V=n-b>Pw0m1(yrCkhy$R>ib1hnG;?WhVK(hi14v@Q~jCj_vA+Z+b> z)Sd}8Y@HzzyYwtHNR4f1ON-p2ANiArw4asAxmQ2HNP!T+WsZ@r#^+0sX>3m+qpuK^ zYU!A~tXIp(bWC2+r+)<|l1%YCyR4Qpip7iG&3N~9qWKn!LARjR9Udge)e$){X!*5j zHAmt7y@`aj=0|PA(f8Rq5^wo5t1k+k@9=59oMb338FD5=u4HIbGUSjUF*-WdhXC|0 zJS}+c!Seu~-{Sc*9-?g^W?~i3>yzsoapgT9*{oyHdy?P;q0lM`o&;% z{(b?iLDe)eZOJE+kF`gUCHkab?9wMW^h1|%RDxGF3qc@g9BC_7J$)fX)%NOhWeFyd zJCRYV1^Y{I6J#PIqEC_+qfb%yFNPmXsO0J!l%c4 zH;Q%|xMD&C z3l-}ZwgL-C%g|6l-m6~-$Z2wCfk7ZapMhYWps2A+utdm&jrm6(ycw{M0`@40b>}O9 zy*)WM8F?d{NexR#iCkp~5ABSQ;`?CW?*iUIjlK*m|L;XlG}H1BibqTI);yVzr>73YCrdw;V*HWhS!E zYE3{8BOW*zBPL_Ka*RhCX9Mbh<5dilVWna~qo2&yndA2S!^XJ4xFsan_Y^RqI>|a~ zUP7h;#;wT`>>}tF=6qOkh|0wA(w`Avcvx)GV%b@#c~Cza6M`CjkXSc=62b`GtDi;Q z$5;RtwwNPSOr56=h|KZDTF{3aUyB)%JR!!{JAacf&GFUoBHmN;`j?L{1Ew*)1la!L z>+d>XVSI%zE)^0bRKwz|xjKys8>A4v&n z9YoLm!01`KvO^o9S*}q63iljy$%be$Tae^?y$%nmM@04~-wFSly~x?y(1QENaPC zHQMAXMvOt!pw=Ef*HAduhy=A{m;N5Lg2t^Z*`Y?d6KeFYPA^_iiFV@HpVUwHsflj2 z@iR5Y_`)8(7F~y%M<#4Lvb(ZewF~6+msnQw02dKRjXPGz4A2l(%Q;k*%mDx zs6MJ{ude82O_AUV#>M}qzH1>+^M^Mon?u0b%yBSsptYmzbm6(hpabppZFD`cgyIt zspxkYy-`M&r=oW;`av0OOGQ7;XmS*)dL zi#6L5iA1Dt#PZ9~q3BFV{O$zULd%V@EIJawyJc`Nf-N$rsIhwmRj_KxX~XJ|l>}qC z6-*Wyl^XRs9s24&fS`a#ZaZmm+a?l3@q-`02ka@Z=~c|A{oJ{N?~Pm8feYqe*Ky`( zi{(;0emvLWxfM?okK~U*O3P0HDj3VJeKV0jfB3X}8^@fFMOgN}#M_IMn;LgP>ndsc zSb4AQm`^Fd2+$f=A}S!(5XTgIV-J-5lD1>Y+{V?2mzfyfmyBPZj3+?-RDky<0Rnm} z%1P(}xxA4~`;fz8c?wTEo`ZPK0Foc!Hy6JqL;E_d7W^d@s&;eb(Y!x=5mnf;{T^$> z2vzeI2dcZ&CEc}J&^ixNCpx5~btg(<;baY8!kp*%J-)mKOsHNrvo7u?KOlFVk$V?& z_Zv>T7AbSu45X71C2dW1rqYrCf|BbkZwRjc>_SA4>lgVzo1T8O0X6N7E)i)EmJvOe zs6lZbNPZZ^N~J_C$ht@w+oh~pi;B<-xievUWbe#xPi1R#^oQs+Bj$?kOv_rFN@0h} z6oD&^F6oScBzt3}nH`)WB5KkiM6tGkiq)p&62&U|N2oGFnV-A-Dr&EDNZJ`MD}NT&N!y^K+HdYipHDVA=y8J;BabE~#^R@v=$9Lej5X z;&&E5&jEMLPo_i$#9`LsYn1ke=sm0n(!MS~a$-n>ExO5#_uiqMjr`?bsfY>XbvAm9 znBKEA5#E%AjxdRNmUcIV3rF; zu1SgRkQ2}8ct$N!Ts!f+&^sCb_b`MJp|MT9<3)^5arKx{_}#$P^o|5Cxw?`53X|9( zCb98lCEb%tgIQzhuZGT&n%|+XRQVF^fk+!HX2C4?v5AV^Z|y^=b_5F$WDX{IQ%PIW zlKdV3t!qtmLg!IEXzAKZ(1Cu%1+wBl2(Gx$2V73qmb57@bPm*Xbe8OKsc!|e15ji- zvq2V96s9^BOP|OIMQOP-DTtOI6oRPr8-^hAX)D)*-qCF8CtNBaVqyP?rv4E%{Uet4 zkErb*5$YeYrhmkv{UaXgA5qmmqOO0$>i!XI3l_3avZC4glpj-wWwbMyb{W!AR1m{f zW?cW1i!GM_!t)HCE<6YEypQK3o;=X;Ts)WIxe8AOp6l`a2G6Z{*5Wb8=c$tfrk>je zwZ4R&LpS9qEtSb`>Ul+UQ`03zH5> zJZ*kuI@Ie%c0=lo{fIXJBUzZGgfEO{d8Mfq{D)E^)zju944Et|P?}~S14^(G;KF>$ z+6RGv0g~CGjbsM1z2o>@%#Y4Av|XP zW!hg&Wdk(E91_ifSq8t^;UUnN5RjHrv#9tL>(jKYgsZW@D>j&dlGgzlclo-#+1OKw zV^nKcMt>BR3%|I6{*G)C>)FuI)R_VWglr|BRdJ(Dd zgZKxatEfT*qYIs0zxH1O+voTnO57?jXDJ0DMyhSDMD%kH<$+^m6wDL8R_LA<{kurxxPzvQChppUDg94c zZYzGFFDn~!|ANr!^6ZE}D_d#)2?~k!sM;R=r9WCN(N&}=8g`LrSWrV-Xb(_n>ZqWA ztfY8!V8j;tuEV~WXap4c2|Kc}Zy=D^{ZoNAkwroYsx%UwLV}ii0kK)dR$*~A5-*FQ ztJd&sV{SgtTeTK1+NxRn`0S*1}?bQ?<#(i7jfRy%tpS+YY4l7v4N)*1vH~DcETA z;6^(pD!#k$OBGP|Iwqs-h!y=C--dxAhC#dyA-NwT?4u=zu$SeF7MA{uYj+rkCoPh; zCt(!QXZ^uy*+hl8xh*uo8_zgp-EZ&<*{)k2 z7kodWm7^kUOG-3A)n=?v!MR0IHlcn*>nj6hDlZlpX#!KVH`FDEYSq~AY&~~1RgDG3 zl3S+4^3EZwhI_H6hFBJv5*vPwU)!!PS;e|hoU6Cwu9$&>`7T<>nZ-1t$;RS81^L8kTcli;Te~ycaz|d6IUy@3 z{}7^*l}2Mj9xdh8CdQ5+GS@UgZLT+1JrhdJrpIAQQne>4p$rAIICP_~Y1P>8^%bj~ zWdN4cIB4xLB-Kq2x9p+o@#`s2*3HE)HjvLzT2zE6g|P0u=x9$OF-cpqrgl6aXYb;G zE`}`tdss`_YN;&+EubPe-cZB}rdi^{3CXixS@%f}u##D)XhDk`+c`?pTZlyag_ZM?C7!-vdbiyf++>3Zy0%X|65$=c98o5S-s7YrHZOU=YjuHa6TC*l5Bz zsT^#t7wrYLkAnPhTA@JQ+^`*W4`D&J`F&`Eh|Ld=L~Ot=;N^z}VoU~aFnN&D^f}}J zNl=(hf=8JQI9Z8P;wUQ*Fdqz6&GcTA`oY_aUX4&tGvMD;sLT=`!N-go6 zXy$hI%Ppy1m7;o~nezmgIK6))+?q_d?=zDYX(jho?*I+*x+G1x29Q;An+Y7jv`(4E zMSx6$-G^z|MG?uASIENVT19hZ*OHQrDJa_|lvJp~(^as#LE3D!vRE<9NB#5CTUD<>1N$ASsROKnIv&MfFqMq4fz3k?m=9e8%&Ij7iSxial} z6ycl3VJ{!gV|ZS{!*m_bnFxFFe2nK?-@-ZuPb;2(;wdhH{Q}R!c&hOJ5`MEF$2p%A z!k+A#?W1bzO|EyY$1FM5OBEMA=K45T9kBVe#m+!ACiHYAw+x)lsiW71siRa`_YQu8 zn3`&X*b7`idxRtM`PoWKJK~{pJ-UNyq(3;}?j~$%==zOq7{or$aa#R4jj5y{6#!mr$RBaWfOJo|~gOcNWP^laO$CY)1iLyiqBHSUTtYd?jef~zHXUCyH39tl1 zocnl3w&m8LfOYxH2=zi-%)5LSLdTRbFM~v@za{3vmy~svh`@0uR{f#h3+U0AnB3wt zU8CKBqHZa`qq9d=#=8Z>1GS~d$7vtcb|@_`4iX3)xa}hF{wj%?eJv+3VA`R(N9H24 z>nPEt7|bAZ1voRD0u==)=A%etK5cKRM^to@vi2k7NMZ$=g+^A;LNf<*(%6$w7?7-L zZ&DKj(JmD8-n2~)Ag<5jY6H96SP~S)d^ZHK0$33Q_t(;5;-F!CC9-i%z%5y??>gT+ zn#W7_M=PN1*rOG;DN+B0-pJ>d{y!N})>!l-%dr;_N`Z!w8J2O$uBJ66Z5|65E# z+mv-rArSR}w7siRWiCyYxzH#B?Otgajz(Z{8uek0jn9UDCtCg~x=nkfdT&PZju!FhAozR#m7*)z%92FPd{4nE$8H z6z0G_Hg=~H`4iO+_TX5uAIH;&8Leo)1IooPq($nA<_RWXQy_6a!E^b^HlZS2-Yb5A zfvx@w#D|LP=%3j|^8{9y;Ow)D92~KG^m`y`HQ41Oiij^nYN!ZfZjT;D8s$FHia`jB z(z*Vk8u4Bef9G>5I0o7+pNb9y+AE0vm!LflX==5g8`fb}u;O)jQKuE{ z$0)G?5Q)yYKwwCE>PvtL(m^|=M_Axv$Nx}~3*?+C@Ve~a9mB!}0%0ck zi(K(R;1CmX{NohS4@$=DdfsHr=MVy8?t$*R)(NTMneI~7!BJB7%Y8u5uYFinguS~X zr*_Q>fxmrWkv*u@SD{_M6s%U=j&|${#>S(~ol~{hpSq0^YoF}^ZS7eQLzrFX!n!)P zU1>Ri+7JsqoTT|b9h1N`HE)Yr-G>|<$dPkGX@U2QB^oT62e>c#w3pal+ZutR2%;={ zST7Xahj1AXsFJA3TZ0 zFZT-Ldl5?U#5=%Hu<}Cm(ttx!F!N;5pRSXpz*FWwCs-O&K%E$Bbr@<99q`feIk z2%CI#X*wSfQ-hD-$i$&2c>J-IMjKtgxDI2XEq+ltrjb$;(`OOzYn^39?VLi>rH4TE z0VJaeG2UJ9)08qnng3H0VRR;t+_L;ik;@^%<4jb~#-dlUe08vA3?xC18yV(x^({Xg zcwyxE;G$ap8Ho87kdOc9M3R^Wi(UjVDJQIR5aNU-$eRnSgt%*NOsnoEaXD$qbHgV&RBMwl=;HB@o9BvoM;G05pvVaZ@)wi6J&Ht|GK(ebwb~ z+QZ}ew#D*eJn!N8#uce&up8$ zLzwmzx%3zQ;a*j{MJj37F9HoZ%V%|k@xLjK_S|gOTbr>34 z>4(G+nX}(tbeO7OMWFgMOx>b$N;tJ`xnoFpFuMcIMK8Xfw75|MeYezEi}#n57MFZq z=v;yK7nPPm0dZ`v(vl-XA4s8t)Yp`jqd)pi5Skv;|Vz>q^sKk>=N?xqPk2Y$@|})s+ObtE&RlZ5+1&ts@YdfThPtWusl$ znCC9q7apu8+OP`$NAv#Bw|t4VGEaN`zEQ)jJwkVev9|Td#u9 zOR#U!WxVrFc3OeI#06AlmpF{*$3-+EAYPbHWO3_1L$sXRON!$UV>XmR=jRNG0sUi! z#Q2FJlr*J@fU*8C4fWXUubT`j+C)@5Vs$I1BTYzZwvS{{(TdA<+>sT^$BWk`_|=B8 zUw|XHxm^HznAa7EVpcJ|2c!dgI{Z<9Uzh>6paQfksKlI~VcR5vTH{uz)zK`-SSP8` zXct=c+(s(atPzB=M+;?S)QlVgPc9qc)F|{%)0IcI_k?x%4JfkE=?ag5z-&XeY`t|* zYY$t1@RsHOL~8C&o`G!}JEY*E9f)mT4l}Y{)~OUcOwiGLh?tl?d(f!|(13d+ZUsLh zI>uf~ntz%YH--fe`nIcs%eebcFXh5I{8At|JTq+#w+E|tOanUxVE_(jbFmOQ6uOd& zZBJXc0Q;qdfvC^jJ5d?!#jM{jLtiDgEOBLxr}j zYE$j{5sk})o%-MKOQWn=&@{qkc+h!g;ZR3e$$lJZ@kfURt6#;ws=xG}8t8c8LB80; zMc0aE{Te9vJtLKM|B1jf2!X)@18kv7za7XII}SDYwEf5aBe?EplzsBb_4bYPn1Ed-$O za|S6;>RQQd=2o%b4{T$@RN*g;iWcSiV!lOaP<;`2_8WAPfsKTCVdKS$ZrKmleC@l1 z*x*Ju{LeDMZh~$m)3HzGd8R;yCk{~+4%Um%C}9tm=5EwA9d%7nwE*gZ?@t1MS}zUk1E98TO*(36g)lUpl&BRH%k6ow|74IpEu(>v+^@$jNe3*fU^U-rt0|(A zo*3AG7i7Xn2@FIhw}H%Ql1`ukT{~4fPc&d|va0ZpOti0_#Ql_`=2o}K?Z}%X4g%62 z*gyfDmgY9FfLP4oc>V4`So}qkBuQamxaO;|O1s=A5##n1-F+W&MzckqNpu!S&XgUP zj*j6UpXt>FGNqv`Po+V4BHqN%8;y!p@y zw`Z=ip=6*M|8RGII$YZkt%O{bm5Akr5zMSwv^zC^zGnaJ9k_RGq6^yB?!PVm!&mIT zm3U_6HC)C~F8$lE2j|Z8R~=wKj@24m^HuwCn~=?OOP;dsaRj&_ck{hpxgoc1CGv3} z?Y8!Y$VP!}JfZYOr;mMo=ex4@mbGxs;RL^9SWXl~B!fiJYlhF`up z$L5->nYkYa(V0HepG#t5lJUAz1ck#OmK(mPt)n%KY)Kw3X$xxm;1}SFS`Ae?ZFAH` zco(Xg5AgP@i}$mUTF~wQw176zji58#7m+~8KQIG9iRYmz2)e_Vo3XV1$cLR$?V!@k z)u`b#pfn%C3uoo$@Qb>Xbx$Ker;pW~r!}kJ)26IjBjUQ1)v#n>lIv=yhh~dYc~sd+ zJXnU73MZuE`4Bt66_cHpM%={-BJB70-Hz~J_%*qmp)r2V@2-K1Mpk`+KT4M-sDE7; zF%a`-V5WCRm%1I|H{?d!IN5po*O3(P=@kp&_RpDm7v2%*L!g)>y$A$}#H_2i&xwkl zdT5K)pmt9WjJAetdJfD}1tDh@CW$=(tv#qk48t=^B~H5y)k|4KLFi{$r>oe-rf`v7a<5s0Ng6>7743h23GS8&gyf zh*Tu=eelO*E2s~uTFX)N0mMdR!fLdbClcs#nzzF&u`Ug>RRS`S_8CGUQg=4_@EQYO8rN-VZl8oe}|~q?ms)pOzex?J4N)|+$G|di@>?-EYNZdQV&ZZiA}1B zkqIk-<=vvb`)CoKCOgb0IzLd2Es{WWu+WKC=V3o}UfzxnDxaNyC7>r;WJ`g63e4W0 z24e(tL05bJ8cbpaDjXP;uh?Oel|rTza#UGE*FkoLDn*N7l)fx~BTC(IdN>ayjS<{C z$lwJOp(%dNcJy+jFIQPxfVEZpW+)inwm!or1t7# zT2Kn!=;SxG{ViAqZVF!FHMSGUwLgHZI7!K4NX~m)#W4y=DI*^+F~H(*v1rRnU@6Rv zo+K~Y_c5PGN(J(_cj%zO#f_H*-&a<#~1zCC~LBch7{oJ6+c7ir^< zDXXeQB|w-W6y%3u9Pa?NNvbN6%0YVUUrbc`kt+TG^1;JLcA&cW6DbwX1GhKl8Mu!m z?jQ+}i_~3`V^Ny#W+4;Qd0rGIWhw+HbKDvPpbTg2FE$TAS9cm+&lspQ_JBp{pAJ-d zLR#q;VcPH4r{Ni_cV54eg0iZC@h=A`h2#Bu^^1*CCIk3cmC<6+)`ci3jfvMVM9o7O zoJ=lVKRjr$l;gP>PdA?7)1W2bc?Qp$cn0HCP$`~A@tiipVz~m(K0Ke`Ijh2Axf;)B zc$_l<1J7f4dhwi(Ni2PaO|u8UMF>`7*W3L~0{eiRm?67J&E!PJt#i&$48%R`u49u|`sc48M=V9lBTGcjp$W7a~y?1Fg~ z9Ho;}-#LKPXiR;%ZU03^h6psWDsxBt7E!<*D^D?N(E`%LqhSI6A3rf(>$i{lCgQ750V?1DXZZ z_w)s#Ltulji7+gr(bF>ZSnsUwiH&_n$tTi7we$&LNyv*$UIaooeAmsFde9o6D0(?U z!azawa+edTqDuF#3U%=jA=k4PL$lbe=QiLtRP{m%(J!VozgvGru&7t~KT@{OK9?PT z8uPt=mvK__bd?_S9kzhyv${jQHm0@L^Fj^6h8Bq#8dX9NnmCyqBr!~OQfmFho>H~j zq0#1LD*bT7HH-z+FAb{$4T)uN!}Fzx3kJ5;WQFXl2iW3NR=uV%DX=tuX^vQnrjnDI ztN}TRnh1OueyGB9ulzs8uWMyGe(wJfe&C0+AurAd9t`K1XG&aP22e^_b3J6Y;D$;e z#3!XKm?CvnP;H1DQOGZrBNs9MGHhm!Vt&CrDb~TIDTt}0SBOJDjmT?LF|UmIWU>~D zyHsq4X`id@e;=%7->Lew8{M7dIZ!Pu(dF*uPr?^)1;)~uoI<|=2S+k6;J)Ne{n!z# zh>l|a7YnkfRgA zvkfK}iS?oI>NKQ-@V4R22a60YHE%PJD@UbyBq*L-Fmld?OSrP;W90VS?o`(C91eE7 zLHlBTFGejKnV>{?I>ULLB7|g|_o=rfx}xG8#H&=bPt_%#U~~n?73=eFT zq?oy7j^H?lJ}E89!6eU}&bzM9I8V#W9QoS;EoU73AI4EP8iynF{&77F(I;Zu0ft}! z_K!Qvkb@y`g@2rjp`#2HGt`F)>K;u@btW{YSaYCNT!kj@gOJvnwD&>e$J9IQXPMG{ z8n4|s0dp|PyP(6b&2-8QCD9R(760ek-S(81;RrfkwO#NrLIJrYphcep+$<~F} z0+`J*2<8>08uJPS%+HlL0+2SrEVzzV>Y>CWmx@iE*@ugcaNQlPLuu13Dd zQP!+QoKR^vDPbiz{j;F+xLwi#;&$ckLARW z17^~R5J$jZYHaohRGKpsF?}Ki7z~Bo4_kvGdH66R)n-Nv4@9;&0=S3(rNSFIt2xB1 z7W8bt>n!xbHjFwH#rX=jh_&}2x-On-jGS;m6mzN&zo!g!dE6p7UnGZ(VQEyFd8{xw zUpV;k1?G#v2zYM61kSBfoNcG&R^NLE=IU79Cu(dII~nNBr~-;3-Fl!_*lVjWDVzh( zg;bJPzbq}uo1Wy*hovPsnB-aRx+~mozL-&!fEL)Hs#?xSkaT1#hSEsR7bDvk;(Rd@ zGT1+o^To&>hB#l0gdF#e+Vm?a3$8c#2kW_ zat=vSN^)e{yPQLk>HX+$?x%g-e!z0<2kb$czji-h?vKA>KEQr}i~9k%H;hgWzA6lY zuFU%@#QB^p>F0A;t-&_`$MXYN#GD_zbzeO{BwaIl>Pk63j4`|?=$jXe<)IThFh>kL zLzEgb1UyhDqm6mEgkyLY{G-MEu!Zx(#Q&S~LooefHftT`2N&jt6qO;x#~AZN8Zp5M z#{BYclsD&>%<{57AhD1<4c8M!t=M_PmP6(RM@Y9(F|V6R#DZed@c=zg5uEF*!tBsB zrr{DS0=sY*0>{KYEDW&Rg$X4&sUcy{E9=tlqi$D&JZSB%uxy@>cPo*~h9-0;RnRsE+^i6HMNpa{L{1^u4ua71#_7-$30GTb3Kbxggd3^v)KFVgo9+15a8IOqR> zmS+h>a4tTYhik+pc>_4M)Tc&=`aM&})WO@))Ud>+kC=@dn4yK7kPH|W^NWS^VoT@P6`{w(uGqz>6VLtK;&f&d7@EK8>aMKc9H-e+hU!J^lNrtx{O=wDDaOhp4qhYj)$uCl|RUQBmSjSW9j zO{yEyF_q;EovP(P(VWf+&d@v=5~8yJdUcv!53_rCDLu40hvL-K>osu~` zupesrGtM!1#4GmoF#etr4uK_~2)D**)kn4Wv8m^KItN1Lq+!Lf!HN|h4AVP}5NpRF z;1?U(-#|#%*`UeDZP|&MKdT1X;n3E-Ab27W(9p=|)=;ird#@KK zLx1C3iHtnvtE}09On%S#7@Y_hwoW*dV}pRUPI%}43ZX<-q;K%@rMRc3>pmEh@5h#5 zqYj&SAiF#97S!eExkc3*WQdy8tkGwkl%BotsW;)=08K5DII&~ zKf~(b0vNIuM?TLAUkt>tH{jZSD?EfNb1y=j@cKR4I~|)rxo4SgIBSs|_9V0NY)kHm z^@gi(?ootTsC97JWm`V|NA}C@C+yl5-dfqSc>l_oR!h+_ZNaESM{JUn_W#)MC=|#V zwf*gEJ+KHGd-YCSy;Q?^ukzgPXt2lWkB;y0M;G?wK-AXt(1sG~u}4EaHe40J3=UOm z5>BDf1*4)5j)M9YEu>(oqLGM$AM-~oMbZjkO;5RRLa@Mxg;KWnWwAfqyI0IQy}N}G zrg!_g8r;)@r#$VMiSRG*T#LtKTWqdjuE!GQ2F*7L+wTq6CA#=C1LJcgn-6!3l8Utq*+J8JVM=9&xLI7i;Mrbv|SHgR>2N%g^2dZ;=;M_pD80;zJrri1K zuqk(TxDb1VJ&x=!I^CZC*jjY@Rbc(@-clUlfv9jB4k>;*P~c!{cAW$NbL$IuNHshh z@aEnv_6lKZgZ*pm}It+~6tM2O)YNFi|wFOWSE7PxudVxMPo+*MX z+j|;s4f6NcxcCIc=zK}@ zrO|FKJY5h;K4t!o1!<>>py(_w7@+5l{P1a{*SFkW$fQdVHR7=~lu29&Da{uAHhVgEgzUgQ7r2Luz#?!Mq;;p(=ea}n>ioNfI3h>PznfJz^IURBUlxi~A>4+yRaa{p{_C;;o2k(JRVE1v@>f zgWpLsb)R~F;u%paZDSfwV(}_)FcL5BbNE_afGRFjeC>6}^vD=Uc4%F2B#toCO1CEj zKjWSH^b2s!?dCPW))F28O*mv%WA)bUgN73E<|=4ZswNRuHQ9h5CUV{cX_Vsaj3h(o zG;J2Bvs0f3FA^<6h?{tc!P{mSRm}B=w1h>8@M#X-PejySBrG!gE0*E$Ri#8$uiw9 zR)jp338x_>o(}zz>2zQ24*yF?)u>%^xhYE7i1Y@)UcIUDE9?`nS39J=y8W#|uvga( zXs=E|mHwO{2&Mwkv4Q39fMvE8mRWim0}M<~R+oP444Rw{fZ?!u5+}=rQ>caupnTfY z9AaM)wIL{Gg-Q`b^RbE(K~T`|tP#QC4Aw?Pz7+v&DyCtMZ2`{gHPh`@;s-}l1HYSy z-{OJr`|iN_K~lnJB3elFe9=ic_@x6(!K6aG+3;3{-#q-*;Mb1dTKo?GGIUIT+ax}2 z;sZa|Q|Yy(01VrYSm}PQ278(fH3Ulk_I^41?+*z7%Q2S~V7$16-2n8YwSav-k!`?v zf>Yb@gvqxv2=zZK+pNI-2))r}%3Y>zaOQUB&ueP}kS<7g+}; zZ7|uuJky_k(^+3&p!y~bT%X{V$`rrgL)#)^zW-tS zplOdJ2{C4U5DEJ^bD{TVXE~@Hr{sv)SQ`cy+|*w5ASQ{JCO*;f zBxSnsiI(5Vu=qsF0}NwwsGe&`^VA^m&cam*H0fY1s{a|V@PQUy<*hW2hNO&DSUESI z^$;#O5RpSU2S5?4pe|Smd8^&WOU~5Tx)<@IfAJ&@>?5vdg4bPaT`m0Wf?AvY0URWQ zu@>e);`@$ozLii@N3?% zt^Wc$8sggsxc{G+OH_Z&3&O%MrD(==+i&~`m%RAUM5-0`j6T#h$PUy*2VM!I6#D2k z995_9N6);vUATdPMNv zUWlCB4;ttoHg=2B@@?efOi>{!iu9l&G1~$(GhPVoMrO=MMubL;T#2<$O9DEpQLJEt zE2Gf-4TrIo5sBj5=JW!iA%4SSHPna4{9|98uQ&T7Z_OGhri* zg>O!`_eM6e-ymkHi$e>bHP>I`DQfs0O-%la>8Q8;wg7zS1UzxIDykN@Vd)>gNM9KH z1}+m3*@L_<-*zss!m~wx5y>pjg*54ycX0(40*P&K{iqFiKCfS87-%GF>G!2_Jz7P@ zoaCV1z7oHX@tb*piMUMFAg$5=vhNBuIQn%0{ddwj!Hr~D0w@Wz(-Mo5iIL5elNPvv ziPbHEC%f)taeu=ITfMQq9P!0n!s4|B=OdJsBj|)^g#L-pvd$C0)z+KOh_vl^`17mO zXrvGF#pEm_6&3N%+b@-THx-~k(=AHmCxDC4h{|okjC~&p=Xk_VVFQBD!hG6U}DcxA}I%%N#xp0;K!86Cuo4k$$l5-O(PY^ zWO5BK65K<~7@s62if%?xX{zjTq@^8O5cqBBdX+;<2x;u-{IMc=Pf)p)LAV5iRaIFKE;!F7i^SxrbD>h zgx_X7KgaU~o;`Tp!7~bJuL7ec{j(1XgU`Z@Q0k)$;Bee*pKwOBr znZMa#n-<~aol&bykb6wnSAw?-7T&Q9>yfAzPr@7)+weHTz2&?W6DcDaZo|}hrbrnP zxdS|SDR16n$`6_H*+iBZaRXC^A+U5ABL6NUs}MF1BEsLCk+h$Pell-fH1-Q%q~VQK zVp9p<$fIv-nRd7=I!+b41b$ccy4aZw&V3CeJO<`$) zuL{q|R`=-NpMf?+%Zr&~T`S~4EN2_Hf7EK&gkR7nF&STFi?%QgSt`LP`lZQOz9N?A zH}tavs1}A{epH&ji9S@TN2}V$o&~o0iSXB}<@sx1vO=wX!B3m}5?ub5J*QY#$5Y_* zGR#`kjk9&$ovq9PkW(sPEOs0n^pj1n*RYdA-v-L(-jH7b+uNxM!7SB9yK{2^=aZ$dSf!8!or7 zM)ArIjYQgAe$RqY^&s$GeSQ``6LCKZX;;9hq*~q&iuSNEiSit+9A<+VUepDX*pmG# z^uJ6)hg8qVL7$1cIo0g0=s17$mP&SZ*e?9I0qrQnyU*5}6O7(sGvZcvc=2Y(Q;5fb z$At$>;j6)~8xParOMOcPo=U*1!c&_VtPM6bT2Yg58uv%5t6->e z-~rHO#2&zw0oXDCTL#D4Wi{+~TxUwI`q?-V3C!q=h7kZa;>1ew@;T|u!W9WDos|$v z4(^sFKl?{6mPZrCg(7sat;Q)8*D;6>+#-S7hz-w#;k;3V)l^WPIRFS}_qgHkC!p=Q z#ip$LEdugFV7dbHaQYVOX(HwL3 zYjXR4L#h?#q3hH!L_rS<9f$Y`Uda*RUv&_l8bMrf=_3>p`0i7gAO+fCd<0XH;!%>q zxbPM`*P*F2@57Cep9+B(<`+o#F1}6^x{Q>-^$PGA-Kk&wk|4$igBa+{G|;3&v1b`B z;KB%HN2jHkx(?4mp^Nv>{;pa%=eb2`kr8o$kZ8f05`ry-!`Z@^ zEekIc#7BgfMX}ESiaeDp_Pm&^LXH5obTP7t6D${mjNbw_id&PHN+OQ{! z49(nKPL#v8I0NGvyN3n znX0WjfD}0kFpqwjj6F)FDB8kA6#FgKA}H3Q+mRa3UNdAyRGdmANsJTL**rqMQ~#+4 zcJeQ*4YowNJ-!}A(Vp<4MEP*79EOw`@Oo%JJec6xRiIEk13m)fDi3Hu;Gw-~lIQ$R zUk>^PsLX`PYo;9!%%w9Si)Om;K)}s}`@u{v9u>lFMejEf<%L=~hT)8gSWdHv_FP#H zik4USqt4a1Gj3UpKf1&bUE=JVw3Iav#S95M$=!Q9HRGQ_EdX1$h|@tZg}K0^d_X4%`&f$M5f9sB>t9s8=TR(f`qy5vq@4c#bsFBB81%%;9#D-cd z4~6(v+^eY3S#Dq>kdDqm+h!qQ7TPtd0#7BLDmA)cC5j-3eUnKmSR7r*s4{IUrSCao z5R869tadm&$$j`&o6gK~2l^ekDU`;$$y3lK*9&`x*kX{^))SlTZUpEzrnEeXkZ^$Y;fuCF*0VK?W8R%`c+vkcl^kAQ(3*=B zHi2s)7b@W>0xd9?sM<2H*oVS-))(2GNFEIOm!VIFPWR!A&k)a@c?~&!?Iz4j8p(qX zCh0eWHn^dXulnH0Wd1$+<|(iizySVfqRZ3QFjduN;c5U%6*U_Z;tsWO3t#lv<;*T2 zRhv#7YW6HQ@9@5{2!nW1USfNqOKsf7{GOxrPoqJlvxe6>TUR2&^xs#tscPv2tmqPX zHtH$*O3$p}^>LB6ux?bV=zDEyMS7mL9M7ymtowPOA4wa2E@3 zg~93riSB7omplg>oPqYkS%f#M0%{HXvT}S{9uAoW?VsVY94bBs>fcUGMVU#Xge$R_ z>B(`7qTzE0elfEmPam(W7+mhc=6ErXkcHS81PPR#hrRG8Yd!|0zeV)St%lVG?9 zNxZoSnYa>zpmFO%comnU!dH&6un6uy4HwgsFI7);sja5@NEnmUBzLFZCL}D>z(@Sr z1Dr^)jd$z@d>{eaO=Z}!FD0hqIb_H3`_?e})*1)KgW2#8EP}PiIRD~PHrn9-HF0$? zi#xnWarIJ}wu3M(AdGVf1HykQP47M^Ml;Bqvs#wCU-Ch`jL!8bt-=zGX6Tq@wH<8^Y?;$_-4Z!bRKm~kLBHuEc)9eNS&F6xjeo}Ul5!&eg`T9Yv9Gs zIKl$&AY3Yo1Hd5$c_tXoL|ig!^D-7c1o`14t`F$sSVh$rQxzxbr27~Ij~9!hc{sC` zq8DqmHt9PRaS8%sGiUk!haI9obxn_F0wY+hJ0Nf>Q>>=jQe< z7Fy0x3CSIwM|*o_wYWiII$|ZjV~{;4cljS#&TO+d{CpH`H^6w~=b`}p32-Buyg&%2 zUWe4+`^VA`k{_=CyaV#0+R=a|Y=)PQAXNC@yzEqeExtXRHH78_NXeuz6Q_xN!>U) z&+3iu7DxV%88;n(n5XlqgJ%#cyX9J-&9Y9Gg{BQ{8p?kAJA}~47b*U z)oSQ;FEd~9q%hE^q94y8@0Rh3^8)`lE>;d6@n_o@OJ6qxlacmRq&*o4x5@csNI}lR z__+e#JYH+;t-_{n*R?-mV|&fMAQ`s#y3_U4D9cN;^~bBBfs! zvi*onk@vtNle~KnGRfP9{`4$>i~BPa5oop5-=Dk_;x`QlzEXnkxNWF7z#pH&T!8TW zqznios8x-Bb3howB@BbpFHfRaltgjG`RM(IQ3Sjw6EJ$-AAccv7x7Mpgs|roBXRmzI6thx-R-#PWG}1*u=yb1a$XTQ9h$@mNHH~+$ zJ=Rb#n`k#Xu`z_zggaIS*I?S--1@h_1LdarUsxgH93>7PXCLJ^R*PN`Cw@9s`_JZi zpJUJ3$UU8t9r&?yPIj>ou_?#(h48*qqmzp%y@fHzrSf_+{Lxrvi{9*v{#hOwM*XJQ zL||Fct>0P7#RU?C0Ytj`i!^CJFZ_4tsb@_j6|j#)3$e7M2pFW$nL^D#CkV4fsuK)q zU?mN#6Wate=qQaf#f&Q9DD5C>)w@Mpw7d!@6F~AkDvnK!Udh&()EPMtb@)YJQm1qB z7=}PDE^l=AH?u5)j!5E%=A)C{x)X5-czLzw#Wbd!pH4sA<$xrT(G~qOPt8G<#5v2I zx(~Mj^9X?MM!+~DA?V0nNVPL%Ln435`zPr@G5rqQ>GOQB09XMJn6sqfoAkUp)`RE#k`ontp5_!PfIOHWN=xEK3;s^^OG>5RO(OEJy3)m&OOh5un`?Pp5UgP1T&ij| zu=WOw1V`acwd4pkJ656=q|Pz+H4J+JzC^Bn;|dlN8zJTPdz?^CD+7o}~`U>!AFMxf*HATy@;vA6m0FE+S`Kb=; zVTSAs=?wA97uKT;IT-2#aMNBeV^m@X%>~3KwgN5nm)<<8&S97gX4IewIid+5G+YX3 zG`M+G{olZ|&kDa~4Cjehg^T_SI}{`|6&7k9ofZzP5?#mIDxO)iF@PeI9zQtYLl{9>=Z{s7+17<4qamMpO{1dssdw z1d`_*DV*bfT$XX96T9U>_+N9ECf|Z`@k606O+P#W=~Kh~)8U^jinlZQubIia0N+f1 znCXx9OGo9Ra1#?B?3ajXL}IpxspsED`vWEupn5eT^kPIH96;D)ohNW+4pHBhQGzXh zDWfiwQKG*zM9GnagAe&bkP`nVcI!B6;r;kOhA=63uReYa`^)vI|&X;%b?OmBae=*;;G7*2G z{yB`92wlU3H<=L+GeW}uHs9Y$y+cll`6K!AE?@8`^ABQFL7hxLJ`6A8`I1b3 zk5P?A`a!-lCDZe}GvC>sjf}EFACdU}j<0X?byxhP_#tTV*Z*DmyV5A6YOjjM{s4tJ z--@*&G?8Z;xR$#H5g#iB+0;1FJu1`qZ5(Tzw^FvltnXC#L;J!114?{3d}VmI!0N>_ zaPi+Y`{JJ&{ba&7`X8zBkA9SFKVP#V#Kh$Hdl~h7Qzmi%Vh)xN(`Uf(&jf7zg8#8e z2QyOoz%55+{q5H<8X{ZWnH!wR!F?eCKG)J8U_W@GZG8m*_X4t>3eFhMvXwo^7x%oL z0n)_(DW)a2JFX+5i1$v8RQRWA3<9Xs8x#pRpLL6$NI6u3}VCJi=zk9 zQhFO;3W6i+HAo`a#d{4x3Z6kAS~0iVC4ET@lf+X{nQ~2sB(SK%p%b1Yv&=8YtOGgC zvBSW0v4AGwEd}KE*`k!OTRIACUiAkU5?I zzJYRI&wn#fiv0Jp^jgYN^X)jI@N>A73&f3oY4Wjv>3LtC{t+C8 zI2w=+pY-O!w~8GL?;a_sP(*UZFHlBbokn*PSQCN0`Bo+{08Yw_YG#<;58ISH^)tEQ zl;otma5DY*FHg^5`nq48Qop39ME-Cd@+^5bBTpJXv@`kV{XnGk$HPqD)h~TOeprs2 z>HN_7>wkwId?-bJnEPHDhU^cB6?BLcA!0nAC33za1PH_uWC#TW`V0RTLQFjKhvdL8 z`T5<`fc&5Tm>#Gz(~Hsq*r!ABI`Pj0mgK*87`OKE{uP+`ZDn%e zl;kA;{f6mdpXgsancl?o(SJE5eL()0gUspt@eP#wdUBMJ1EcAz(R^9`t+CbkQl#F;*B$u_2$*SN%#{In5Z;`h9d z-W2@wJHB3kYxmRmX#?ZdKGna&O@4yK0`lsV9X$PnI9fbY0&*aoYB*Cq<02$PRG#=$cYN^AJ@uY0w*8B%ISyLumGH3L!@ICujDMw`P(#{a^1`E zFC~#VGVcapIe!bN4m|)cNy#DjO}HvTp$KaE^8^}tP}|RMPPU?7e4YR{Vd$kP_)Od< zq>29G_s@9I4qV7#b8Z)$=W89!x8!AG6L9wfcFteXOGeP{H3p7cWtP%8W9r8vy6EHe zG!N2!q$5XOCwL966GWT*=Y2*q7~3h{r+(&{Go}unb%Hmfleb_Ii~ty1_89oUsKT+4 z9+`YM}c)yYs z6=KW|x5kcy0An2J;m)Bs+^5I!uyVB8vIb*3hVu}tktrXFP~UPalXN;6jCiJ+(BF5Gqc zQlRLwDY2aGYSGJqq61T7c}>Whqp$(MFGo%6G=xA_AAx*k0O<=KfH?R^4&C#Y@n zX)pUhMTdS8V=7H1?AA}m5qUa(4HCZ~F#EVtiUnbQO79kf6EgcMeM-alP=N>hSg1v< zFqHmcbFf?ogoLI`sfP($Or?6uGh)Q3(CCG{xdOT37d*?sE#!NJ(9SVhy)@-vtbz}l zoGZ~=n1uzP72-d(M5weGCYg`2VOK$+6>@Zc7x3u3Lwl_lt4&g3_X^cj=ZCZ3{Ynt+XZx-;|EAU(6 zeB2~yg@K}6o3VaWUTHuCTgYk*hIO*}UZV;G-3YRC5G+P;r3^|IN$Z8PS@XYGb7X5} zM_Pgv3GtF}+I>j3D_55Sv^G^$a-28t9pGOGl-Y>z&T*Wpa6V&kdYsklbH~++ZOt~%Z zKc;+ei^8}Y-|L8emZSDqV+<4aHsRc<0|*_5iZN#flPLMuK?eFB*MN=-%4WaFWTX2JWiaK zd8cc6-8>p`g|VL((5!HP4HmT}_qWCU+Wq_w3Z~)O5)=#f$gO-^hc7zUM(k~(F{wV2 z`?n-8R3LiR0pV7YydxH^FI&>vxJas+|X=*!_pt z1TV;#Jxzn-#8=}#659>-^EgQ_M_O^t?t%eOG|2l&j6Ejnbe+^)P*F!R-UIRIO&EP zrnSR9PZxIO@Nw`i{eENwz$a4HH1VcQAD|9Jk$m3?cyLM z^fvqDPDYCHJ<|*A-0rvAa9()p9fOpndr&q|Jptpik-oCXo%;__t9=xZZfuot!=Wy_ z;Fmmm4;EgD{md$HUe`}S>DLTMj6&u+hMyo~4V>+}3} z72bVYkO3bFhVS0C-W>SpZG(?p8$8E{`aIcp<>FF5?M>e28fk+!0$R70AB$34Xc0z( zL(EBba}TKBc;rg97D)5-Q9#pi+u<~=2P;Xq$iq5qIQ#~)XS&4~#u`os+hP5OTZ`jS zu7qTNgOFHQ*mEsck&tz`_d~e^n%A+(_%u};Th(=2F0L-10sNl-#oD{TM^#<@-?>ak z#NbRcsi>f-#)qLG!~&Wa&>5K22~H#x)TE{{ZPdonYATt45(7Bg#>1ditN7Hm_VTo} z+E!~zgIY`gNdV=dt%BBy+CEN5w*Sxj{@;8)nRCv*@3q!md+oK? zURw~WXqa7C(J;4&JTr9}*-Tw=ytf5MpO^LrV>iga@=ahYZ%}xd@J@^r74xfI@hvB5 zPuG#XGMQsK9*-5HZ_Fjste0_zhmlmcVL|##j2gZHkHwHG_bHm<#|L0Y{*f1Sa|b~8 zWKncIfUbKU;xXq8lV3S4U4@T1_FU_Y;cZ&jr|#W7i%LkkE&1&2@{Lf_rvkY>yLN|2 zv7RnYWlZ~N=%Qn76sehK{B)pq0)5Q7gd!H@sIZ7zSSs2Co^1nb`pF{zdTSo3QWw2- zv+kiaJo^cowbs1n-N>1GfX!eT6-m?%hmb!SZrk6392@VN2l_7|Zu+tS$eo-~ZT4h;r~9R!jy-@`Ph9}|paqctD@ z`Y@~8etC)cB?+DR2v?YOZIM9b>?zydS_lWz8bixx>#r?VlGa=!GoX%~vR!R`rHgV~ zFV}oj{3oTmRp&J%jY8*}LjG?-8nynC+OTJ*Iv{;`L)A@y28%zT|+M@it+g@FCC&InRci z7fY{41sOD_z)k-m&YXa;2kKmc6XNua3m9~3FTmPopFTG-ST*9qanJq>8Y1ay0gw1& zIF5(yh6|WxW17q=GIv)DY>Ura8!DUcX}jOy0F$E`bJ|k_9g&6(PDW)WW60gqZ=EW` zDc&zFYc1y(*XAbLTp>jlf7pIPtRd`oYxM#&L+LE;@p1xz#8hM??#Zyn#+xcK{~Rhi zsf{zAZB3tDxnnA)%QH$%a7!gn^JQ%2nHkGQRm5j{dV|WA3oGS%$t;-A zrQPB-7t&aQIu~V?;{rx*7R5p#InS9imWC+TI8X8ztUBC^s6nW~{L1mLyST$sv0{f^ zJs0+p9+WWDk`RU@10iC<3l1UcB_-AI_ z-+J!m<#a{{W<&O6bIi?QJHGAP)XyRP^y!C-f%4m)jy+OMHvon`m)u<7 z++IrnO>g3XdM^3+sEoAuLw~0uIJU?lsw*aUPWp?-mM9>$y>ZxeOz!?8$_jaW@(Y_0SW}NmMMSvN1?)*EnUe#T~@1S;y zhzlHcXIw}kqY;^kLnAlSR0tv?x>6yx=65FR^Raq}>I{vG#tTDcQRllS3_Xf5EEC3m6xA{gm&fw?y~gN#|PDPvyL>tveJ z1(}G#YcxjOud>BC-u0KmEu0rhFZZ-A3K}b1op)uIK%6d9^7XbG=0z)U8=YB=)96rT zLq1ny$Tq%OO;wYFAG96?8gP8>M2;#(tf^p?kKYrWr18+snotHbWW1*6K#gagj?!X) zd%36Wd!^Urw_dkpInWxxZ#eAJuwYaGL2+)lVcaNki#JA`OWC^dFz=cp_beQ+nB7px zeMD+T1RY`_pgT^WJ5Hc;o(6dN-5QJ&KcSl#t#a=7+WfX39=W)J3s%DvT!TyWr}Ocy zu;O*`)`x|7sRs_mtqPTyw-jIA>lQ+m6>&tn_##xSOAnQMC(hYmrlEDyGSm3FVC_}q zNa2<7h69!Hh5IVwi@L3u3sYDiu>`@+J4Nz5mn8GU_k5akmDh) z39j8iSii!Y$kZZ@`!SB;;H9CdIo{Aa_#uy;;W!#O#szeyQ_t%MJ(>HDbOSwUS6O6g zPV-T^{b<#8`sL1Z-c8L@3t8PffJA6!MemO~mv?3ug6a!8<&8A1kJhy54&COdW98lG ztaG}fUkoh&G&4HcE>e=Gdxv<=9Ls=D240$+#eh-nyxlt{aL%5nsC)dY26gRT7lzVH$9dNm zNcX3ON1>UWi#0nl0kcZc1l%Zl^(KjpOLXjbxq-(0M$ImURmGWOkz-Jf0G#cY$nz5G z#Cq#Lz#O1{J5>5L=<<*enW~v!mW=gIT+$8qqS}dpc7DPe&C=}oV!JfU`W-Lfc%v_v zs4bd+Sb4zZS8a_tGZ!lJh#r4RwN7%SdK62)-%QB8C$Cj;UTH$U9?E- zbSm}lLDE^EGn(8xJI3Z(PzG5|eY#~#thKBtJvxey4;CNG?{h7|(gkHj=9+^~TV_c7 z*^~UsI}&`p#Ioc`Ru5H+UxP@8wRx6RHk33C1r*gyY!# zHVES?2xHx65yo(5d`6;m?kQRhCM+?;w%1D=WIe;Mep>Om_G6qCx6)}N6*r0ZbnuF0 z8o$ha!uWooKyh<6aC^YuI1PGOD0b)q{z zW4@EhpxaEhr3>@D>vTj;$N3LXy!+)jsh}@aC6h1R-5B@2p=^JmhwGkuMe7Z(~0c z=Q%q}!l`|WmEQjz1Lo`y8lcl`-?+WzGpF;K>D`8EYu=3{))noev5~~eq7I%xX~#Ja z|AtHweD|9$UTh*&(Fw8Fpw_7lon6Imz+;3=@U$LQ*knuKGdNmrv>4sJ?A}~^_7No38imDS|U92-j^+WURr2$&T z^*o00L(zt~tjrW?C_0YF1;-WB%xj)B_mgvIJ@=3RejNNKk6&Pgg4W1b4EJi!AppJg zx*Q@G92f2#OIWQkP=%kEPN@m=LdQXbi*3b-H=$|Lwd9MdP4k1X&@{4Fho<>hE_!R$ z{6`JTfn)^^al;L{I2|9UVo?!@jl-m^LqZ(V*0ty$GZBJ}^sBk1Uczv-Bq2GNDduvP z)U}3IALEX2`8-kp5;ecedUwykj&p^$xN%VATrqBN%IvH4h}aV^gmNCUDv zd1}KL_g}36L0OtIDfwytL$8dgYotCTjz2UGZ5R12#_^SL zIcS|=#5VJ9xGZcrXuR*3tjaj^fxFYf%6%boXvAAAy; zghRDU-!CsqmV4(V%gg$B^p&rAzuX&o?^b+0ooPrbzD6aN0=jia(M}^C8-2n&gT|x( z4gHvlJB~K=vu7mz9Bt_5=>J4NM~|SNqleMY(S!8E+y5o~9Cgh9SNefonvDFjH<`cN zoH-uv+#)bJ+a_@yIT;c>o%iI;>z0RL6pn$REE;H0j2dMN&wvKsosH<{Vs zs7sOIAPu69dte@-CT{7fbuADoBE!-<^_7wSNezsLvyaE7+;c8o&apOsg6n8o5Q-nxPyV|@APS3QbdPk@7TlXqE zKcEDqGNqQ8T5kM8BEKYVTx-W3k#Ekl=v2oM#1Mu~&vc}#iJR}<K^N;{1(@b=%WNo*FJ^S?e=(RjWy~D_GW;vn(*O8q;Cw`W4eDb*VL!|0_4I zTchct?O?Cpt;~K8JpVw71E4-O%<#UWrrCG5(ltGGlRh#X5oygMuSnuFe0*oMTYJ}8C6D} zMfigLI*=EnE~Q6*OaqqCmoE35NzZG?oPDY#Z+1e5QJ>Tf!5%+^pTw@ zzPp8+?DF`p*~|0jULS9atGYERmJl`(xF}A&YBa=ehQZJXaM^_652RWlT@_T@p}ry0 zX}R10H>XF%wDBXgU3+N4`}7XNSz5cBy+r>_d!4x&vULY(+P3S)(3lzF(=yX~R*Ma= zc)0BI>KhAE)(XalI^O4NcO};?#)yz*{05g>bg8?hAmr#g<#Y!7`#D0um9?3p0sxnn z(_1kt1YRL=JTI+RH?GyPby+iGD}dyqx-V6YRUumzH>|iklmzO!pROA)vFYkpFIoSk zc8^_t+9V*=3rOx(FZyc%NH@H&cR7*ifnSJ7fm-YMpA&<7inpl+F9QhgO)D)}#{6C= zhx2Sr-qd0^&kV&Yb=GZaxR@C0jvbaeoqUryXq5ykS)&UTU31362C!y5!J48@ZP-V6 z!CaHQ<{7=;sWL$h5p~?}TK6n4I<7||ys2q|l2S`no60hL@b@cd4Xr3BQ&v`I-#^7X z&*-(^GoH84@w?5lCTki`s)mkh#4(I#Cal4IV}4>1)O8antBF@hkhR)oI=#g_YkLTX zh-*)`;o5Gl8FP_M^A_*3&gGpnths6rs(q{%Yd=vz<87ibr<-TB*foi&mGF>#ugNMk zEw4VnH#AqHy`CDj-K$v#)to*~8Qp*<^g_|qkWuv>8w$|S-c@U0jVU$|&pTRlQZG6I z`%EaJ7K3qCP@)ztRv0OtpdNyMi0Pv>uDQ*4^EDgNcsc1n<6j?XsNFXijrBeR`PO}b zX)>9t&|!yZ6^Xe%M$MP|TF%p>zon8#UJG|=PW^ID%UPJ5eo}#}#MoAupL26*N9+Dd z?3$0gYL0hm{??Y!9F7>+N=WOQsHzLhJk?te+nU+i7u%ZA+dHte_tjw8)6t9pY~0nx zhFyu-_&eGs)xRI?W0%Q6^x-US6;A(puPqRcofEsJRQq)0$A?noL5f z*D@}B<70#vEh1`1LIdro{f%!F3yh)Dsu(C%jF8@gF3oy?9s-4aqkrg6O+*xCrVNcM z0O6bN7qT%)@r&s!*p}@1&frxSHM;yFNuo7^Fi>OUPJO&(v<phCF_sCxdw_PK_ zK&3L+>K@@gJW;9te>$65Slj2VGjvNRQ!%;LgL)?{X%b(OSVW9vMrJyHAoiHZv|At2}61_NgbACK>Kn&hO=&q|2X!`T2xL5*?gtY^mx4Zg4Vm3}Td zMBjBVGQ*T^3)5%bfk{o)V<(sa+jZR;d==aVaS?;mQ#0dA-pQ=lsz#6&o34IaKRbKB z45ZAN2H)HgoxW-!ljg78$@5r=lE$bgMIVs6KHnw*L#`&vt5R)&DwIr;EhRa{Qf%># z<6%3%IRMxYj+9+CUqFBwB!2BNQk0Mhhl!cx0_e;@%SrgHU-V> zhlabXR{5i3(?3;LpBx#7GZ%$pZJtb-6PUhQAk>eZgC%FhADRV#>cE z({WZ4pyt`+AB8us?+!PW&vLFI|KD;12YFq}td@6)UvHT6<<%9^7m+MzloZGXQiiNN z{d~MDy!OcChk~>21U$5klX`01g_2$u6a_@bJ7E<5XFzjpx9IH|{aiw;7L3WD3qZ3I zXu|BEAK#e06hkFDlzeCM!G-wlX)^+AA2qi4qgSe~FOtY@7-?ykq*0iQ+E01=FcKBU ziGwB7%=jtEdwv8&2sPZua3O8W_qj<(OWt>TZ={&%{k<(ThrN^hC}s$z`?i)EqAsyL z(r{3Rl3rSvN@N%zYYJQF5aTn|c}G;IYsvjEC5oh+Iy3Bm3qqhB6;+gJ#tR%@bKg5e z4h;u0TI#{i^!}cQQFKAMN*vyt5^k)~@MjTR&ksmHBwOmuC>g|`0`3s8F4HwoqUK& z8A}}!J0K#(^iRb=7)Ug-C5sCUd$Ww~KUvsbk zn~6Aa^*Pe;)P)JpUm&A2EZ0$rsm+xQJ0s4)3mT^1j2AMwi&kqQX+#@dNSAXz1kWDtsvj7JVadq3O+pjZ z;&%rCcX|5NX}4PdQEWLSq*f!?TgqHv#jomIMrvMeA4%-o?DG)7x{#ujk|77%osI0V z%e(qfQ*PYkls1U6sy(plJP!u)FkYds1nT3I2j^#xgA6L1n3PWyjw78Enw!nMx-*Le zfLaeLMx+4JSw+Hr9{D%Xk1v<3J`Y2- zHkSz2DTKdsWFrUXdt|Y}^Agf0S2kcZy+U}xRPBO>$s1e*RWxvXVdiq7j59pOp|`XD zUy<|<#uXsRo#4z^A3{()f3{fdC9`5-bq1;ihl%4+y=O&Ann_av-SmE3}0xxJ%z>9#0*Or?s za=z;}$D`)x2ig+UNpZ794kJ31#j=rFLr$L8lz|^#F6H_>?C;i!@GM@iwKc>uc%;Qp zP>SoB@nf|7bl;3@XTSVCH+194RUOYiKm#qV#;u(Tdid;vRM?5$02ZF4*Mw+{R5;&N zAK_F`uJoMVTDUd(M=eTFW|?&!X-(4wQk85wMnWwK6<~p2DAZ;@01Wc!cV2#fxIM+w zF@V7*^-Tir+=ko@ybft$y|r0Cn$YA8JS}#GfyOS?{O$y4I=98-><%*pVr(vH`2E3`6y9vJYxY4sn<41JO zUZZD`y#tGhx?5DI+OxH#NGoJ9{=eFTsX zb|N1b&(6TyvQ`UZ3aWbnX`$0f2P}Dz!N&PXC6tgI0MQyFb`WY|>n;LQvcm}Zs!*O4 zz~$l68uoa!ai&>Dou6!zjW|TwHOWW7<=xLlM_JpPt4IABCEl9Y-vcvklXp zs%+S1&P>cR(I*ilEdP#ppivGrE_vx83i%r z4Li4Mx`{ZqOA8aRb>V%+6HbJ4B9k;}a`Q_E`q>=NP#YS}GI%Se*z$t?;fC2C6IPAo zuEayO^ylQX?WHbppv!vp!Jx<;Kco@E+D+R+>vG&xS1~cCuQy+p%2at*%cyqN!D*aFYr-F6+y-sBMcgoUQMsRMvy@D@MJ8=N%nXKmK=;fq$sC z^TQVU*}+&V!f|vo6=r2YD!o|cStCveh-t$Wn0;dz#xdK6seLV}JKV%8q%Ftki2(3o#h6PhsP`OS?IZ0Iwh4UiUp#84Kf?yt{}1qefVKkL#e?vD zL-6JZIQp_i^HJ= zL}7A%)QZ)pO?-%)25N$93d)BBSB)K^kl2^66HIs8Quu!9Ghk}u8&_yx>A(V75<}2A zY_5>mZM+EVue7$Tk<1F6EBzrVEpw-nOX`SP;|_3!+}S;;d)3ZmCpvre^saxImO!TC z@AhP30OY*r^hX-BE?iQXIXfVD2Xe%L=G zhV|u2hu>{MQJdd+-IQQ#NmE*MLNInc2bD(!OKXaHeGdx^5;ebt9gZx2b7psWeyADI zl+C%zo7{@3P3aWrVSz%0Dlb(~Aq8nnsi4zLL77o6Sp_1>!^B$*#<*m_T4T5vHb}97 z`PLpWV8q9A?x%Dm$SQY6uGeI2HfW(1-;5B)euR$3#I>0^)V2f-a}{=n%=v~_RX9&b zd>waam?Q}l|0W1ZT@Y~|QtO;AbL(NSF!oyJ9B2B^BMo0JYL@4sRlhSy>={1}+{sRv z^Pw2}8!bbpem(o~+6~>*rqdw#?Oc{cmRNwM7_5ULOi%bx6;+~(= z7X!kw>Gw9DW{u}FqWNF)ZpyuvGj2QVk%Z)z&)_m!V{0d=_i;(R-t}*wJs0aWN7t6P zcJY8qxT_Cx3l!QT%oPXq;@S`4yv~Z(C5r<4X*;b|eB64e;pQ`>qun5xeXV3T-gF4l z_yZiL+!u*Ab#tUryBZsXn5WaVf3;)-@3Vfyd*XUe;_95BITech8ZZYsI(UGI|#l`P12GRzfTE5lFPToK!>&+vCMer5uHHE$h`BSZ?Butm zBEDdlM(=6=E}oOLrd3X^_G^T>c&=vC8H~4iZb)oqc4q5rKD5TAAS5#O4?0?=(u%)X zgfe8GPDad$McZ*sON4Nckm~ZTP<)&%c9cCvH=;Cqtg?kLGjQpO`Wp9_Lm@Os@aBEHj}I@u}=T?Z>O%W=ap4~jrC1fMryW|x;33|@W=31r{QMYn0G)|{92Vv)5VQ)i}Fv>oW zhnx10NOvM#oAp8=zid>P?F${o~KJy<(9 z4pIzhIIDl#sTgYoM9xCA>fi#$JyGwoK|g38A8E+JOJ4Zu0o78G`C-|mh0Q0IU0T$9 zf{_tBXme-Vb2q0Yb%5R%9aUcTjCa*ugNFNrhDzrJ&fLOw7yKHz^m$=8l6e^- zDOXHVU~bU6WoudJ_`-5;`3`9&PISkJDKp8e6FPn@N(~x7bY?5MXgm57me^Tb7+iwGdmyc?*$;HW%bk&^;W(pfJ8( zbv$tFe6Y+saj${TL8l_8(%C=IS?QoleL2#wlZy<;=>iT8KiNHNIq>MrsfaJ&aP!e^ zuNlg~TYz^R7mk2pDbVCoATJ)%y_PI=f)E#& z(zR*ku^QAGPYE(;A4`&l?uAIA=AiTLitqQ})q%*Ler{*WJYB&R$MC zvBDCaxNO&x4e9ksiQ`v^9}JJ77UYaPk0uo**A{<%HqG;7+a1piWVPx{&1l-P%FCn> zZPit0=qp3>3noA<1^VJ8h_qA~>e*$Y~>yiFMPO#t-rwoj*Ut_oQjV8;Fp2zTQc&Wv4 z#O2Yl><|rzcUx)1(unxGH3NWc-%A3>bC7RKe$kN@!++|H5LxNqL$lACjF(=IX^uVG z(qznX5LddH5%B}DM0Os5jfO@>9fnw-u48y67Gt0BjcW(*=fUlQ6fvGEGfojBe@7Fv z4_~OWM{2M&3;)Sq1l2hRUf*|T;B_Wexjn{wG2|%*eAZf&?N@@4AnPO#d21Ze63{kV z8L4E@#`IAwIuhYwHFIf~E}`^!Mp0t*D52fxfkuIL=^LucCA;U9v!<9@>1**qI+eco zjpMq?3x)83F03q?(2nMmEyc>Bh>&5^rKGL>Wc;va(5U_yk{dD{@F+ zOlmHsI57$hDV>%R%#A?+FwyZ$wz2*IflCSVR) zHGuGLz70Xtr-UOgKMe6M0T_Lfge0r+9RJGLaF<*(x5`~ zIvQj7$Y^oteC(Hv_7^zk?*avAuYfcos1_-A0cW$Pey#<;=6x<+H&*B7JMsBpZsV?y z^P0`)Pt`$idr$3w(Y)HL2*dF@-!T(>%o&EUVg2fzdNVHYD z(amC_gHq1N?`IfV^+BPYB17db5k&K6?dMsZ2xbeUf$~HREGJ;-X&fz>+PmnRVduXM zInlFRm^&U&GV#{O%ib1b39~>CJ97BN^k*Eu_SYeEfWo zYkgafm&1fa!7N}ksAZW~(tA9oTw1>vVR@b?cnRXdpF&e4b6)XP6<+RiOxz;5H+jW& z$-sA68F+7U#dt2*`ZT?@RO1{kzhu3NtZwRIrJF*M|1~oA9CDlPOD6tTKNu8vY-T2|?j_On?NS(GLCWbHzLks&fE1 zDr1#rBxP}4shY)7Oh*Dan$K^%5;vZ0S()9uxT1JG%AvkC?grfBU3Z-XFS7M>VSt`Z zNe(jM@+sj+51&j&{}V5-qJ&eK-u(n&IPB!#rlkL13j+asC2n8RdOm{Kk!eDui*i~6 zEH;A1tDm)3g{PU#TB`$L4TNc627yx8S4fHOU=9%X92LpjYqjH%L}fiL;M>EAi%oCa z)#ZBAZz>MOqldc6x#?zLAo(3OHHN2FyFOtr<;buad|E+g-=-wr#r06}eSTomf{MP5 zv+?ECl<{&4r37TY_J+_;NC zjU+8)!|VkwC#jgayZ*&%T5cgX6|7yEJC!WBCwhY_?|fT)YF$w=LCNcPs!nDne@#Z3@!L2kvb4vh}+X-GoD*U04v$1ZqkcYe`EDv zj=vg&>`5N}z4~u~EC=NVQPZAC{uo^-vWqau3c)=I8-N#w6Ziwr4*ZJO17i%DFS*}E z^Qz@XD*#F2AT4@`rJ{TvKlG?-=%aS-8ArpywKt~-TaOkskzXQciFw{%RBWEVFY=q` zqeX>0DQNwxn)QEQ^p6Y18Lu{-31I z^vb`H_5NJpd~CfxvnO*b<=^xcQ=XRWdy-{jL-MPt7Eumhm)c;OHI3F&( ze27*hmTkN>;w%hE%O0AXgG@eUyZ7cF2o$TdXLLcsO#CzYOq(e6Ad5AT4A-#^G=(#l zvht$cHJ2M9;9&A9kT|cQc5*eBdq4 z7WG-Y-%+$rc)!8O83oh+VQX5*XKbk_9XNT{-45-Uwah2Ic2QF>{k076_yqyb&_~2+ z2uSn|O%S}MZuhPZD-Sbs{e2$*U#b-shDHAzH(vtZAz$V zp5WJO@|z4Jm3YMj`C{-bm>^lK3s{`c@4{QbkqL$HS#+9|T6?I{!SJHyRYLG@ppbp~ z>89z%=p2J!*^21CGPBU)m0eInR=mO?lbcyGUf57Op;pNHJTzI)%?-~}>B`r|Bv8Lt zyd-ZWVeiS@TR)*Gt$B0`YrVPcg#t-@)o0-F$6AGg!@OsU9U2pWlAP*70jTV@q?v-dn=k8BZo*1nVxcD4Eg4 zSMbrbw6q+Z=LYMKcTNc!C{JU0MPjDMd&?M-#vbWrwo2C+1SP&pOXNAK=5`^JC+?Fj zU^D;xqDaHMLeR;+MveZz-$#5Hvr@^z;mpoRrUd872+ky89a=LlU`C4_C0dxqlD0(L zU_cre^ni+h!3~pf9xEe$wHh{NzsIAuM|qrvbrY}?u_h8tXp57dqAu<|Ew=1i87Att zMx?e;uPDk4Eu~~=*@qokHz*-!xuH`-Yt3??l0v~NZq(&O;jpp79^tVb8g~!J!l!P+ zvq(s@UVOhU3UY5D}(Qzq7KHK!pENqj}E5Xrwz`(@Sm{D5<6Md z%xfr`QhD{?g|bLyLkT>W)n`!=ibAF>;A~;t9m(tt#}y=Ylzjb<>1lIfty56-eICfN z;}7HuzD{v2725^I<0R{yd_eMB&7NF2A?+&(Mi2sc&*ez7$i$0Gi&vr*= zU#2`Gdp*+=3ch%#;N%;dMznN9fk&2?;9$W#6&DxdgD z;(P8OOdL)JFU?#rB}b3uDTTD_(szYj>%*7Tt2yt`@y_|)n#dF%F&K`KG%}?)`SLmD zL@YF4oNC48lI)y4Bop0}uqHHx5s0!E9{P?7Sun-2J!6dbw3yj*c6R(df*>BtD)5qr z$1)uKJY;vNEWy!(`ECy!NsNhtq8Dw4T9q#~FRSHazW#R{!+QO8c3^_Un({9358|@U zB`)|Ugg{7R*5^4Xh5lqtRYe1nwz~zzJSa(ev3}-hk8#S|H)KbRpP+w+8|F1?BVt_a za8?_(l%t}@!WJG97<+T{c7Qh#zc>p=;o%$jgrCQmdd;ioRcajZ7|}dY{SZAt%K{n) zy!3}NyDOZP&lW#`g?*ynU8Fm)l~2Sz#7QFJB!gq58zByMk`s;4(DOx5cm&TT!*IW3 z9Z>G%@CGV-krHo{eCZAl1N7m;V+rN;p01SqKO=aX)Mhd_i4CPDzf7_trub8p5Yl=F zIp7FBbeWNW_avVs%8EGJf@GI{^>8M1y_@PmQc>}#FWB;a!e?x0jwW)t_)s^H1Fb2k z&u_&5If0Ud;9d7ukZL8e^2Ch~4DutPqXLg6C6x)hwS@81Y%Wh5jHkDMqtZ$QLc@IE zP~hSeOOy={(WQpVxp!kw0vcx$j+B6AlI-6~Kn*T}#_u^56uv1b`EiYCZ`}b4l3Xe?4&=J5 zwE82`wF@RtKp(ONpXqM9UgFcv<*$0zys)*7%>^2$XS?yW-PnHOn$883x4=U zMq1B05*hz1-%}prJ~H{2KasJaTiZa`Hiu)^m!w6nmy7P^MKt(w!%+W5$F4N3q@)lf zG49l?8i_oE!-ONif#|u^m>K03jxpQs)Xs0g=|joCpk`|}K7sHzBtAJ~?j)64+R;Q0 z?X24!^@(7K#18;3RhVR|=X2t7_Vb`-{-s4$B7M-np@d&6e*%r_3!RX^Fhv)Os8NOd zlw1+#g6e4lb4pvs_}jjT9tHdF_WOSIt1o=;mb0}pc}nKKMD9hIJIfA7PpE9zL5)*w zUQJDvnVrdcwS)4B8AHrmC&DpOWY2sA#65OA&vI)qyBj%k%BZRJ9!r5GP+*aF{bjaq ze+EEmR<6oq?R(IEeu9J&Tk5xcyW8|FtiBD7FY2$a1kr>2yB$ef1#KgzBI#Cn=@nU% zD-sK`(%QoERWuiM_3QvQO;OQI3GUbcDD%iJ<7LE_0IRZi=}whv+Y z;PDE1wRe^b4#P8s|26 zCP?C_Ra)R#J7Fy1foplmn#fS&!5dDE7GBtZoKIC(vFb4FWuCKc@2xQSWX^9P%Cevn zU<7DJ>DP?XZ)X%U{>+T>eKSV2e58=PR3XXTze(rVL}Wq{W^ij|nu(^jt%WW0=JS}J zysNemG}~D)L8?jFIwbEzEQXBF`yOQMuFM|lF}=6K=~>7yJqaOhHg~B_$RX{~!_r=B z(^}JUooY4EPbX9FWpf)s6Fh=KXo3%YvQ;EsAc?p(SS|tw+{{zz_!*!VE_Vzz0 zUL!dn)uOkp3}ajLGlU>SSN3E4$gS+W$A(WCUvi14jZ{Ep;2Dd_Yx#^VEldwO1Fa!D zz9J1;dabraV+1`4{4^!MM8c4`gYl)hq}7xXb;s*OA_uz4mKL^&0G}7sq1WSVRny(7 zJgTY;nt8SL0>g8M?{`8H*c4@5-NV zARlPO!B$$RY?62Vx9!Ng(-Kf}5789+qd!}iKE|hAtH0XXWLEw3=jKC4^d~^;L)liH z0W8lkpO_zdvLg+V?0R)5@H-GoC@{NNjy8DOeoi|E zY^#G?q)v9`+GjUp+o9Rjyr9QTtpJDS;*v?5}KvVzPa@vK=R;H6wvf36jY^q9@ zQJi=<{PLO(ad>6h-ZD|y?EYXWnPBT^`!1-43WsO@^Z}cB=E%%nQ0CN9V_14zrfb7- z-ysX84sshF{}yXLId?tJa*IYgdJT19nZRa!xmC#jogT)+Oy53Svi#EJ0^`> zOQ+KO$fgMlrKu!Mq#<^{Ni^$}=RX~|&{^3v*0Rrjcje_L5paLW)ybV;Kez6&Xc%pa zm}!bA_?gY4QmU9$lCLA0P(i@PUPY{;l3LR;iSDtnQqNI=-;EvX#y&u-6N|8+#i$uG z&~0{$UimA#ESkI?<|UGd1-#^?s2GV;?p&pgTuQXU7ZM(_o4S|*E>Tp88&#$9ohEit zxo{AljLm2AUo@~YdMPbluKn6X!QbuTCB+?*4xq!g+v%wBuHrzS&*u z{PWkOQ)P49fL936@Gi7{&9%XH2zMzC6P<^&>LSlxD|s;T{O$zsKW^@@O|af3U}7sc z>1h;_W)fQAra53+GIuD=TQDn|=BsX+DqGGdw<422NF0#TZYOQn?Mn2M2<7vh)Re^R zMgm)!*T&Tor>>dl#!O4M@1qSiO)pXcrD{WzVhY?+|6)V6ElTK%uH^lg*gs|DN0I4yJckO$A0D=>Ps7*r;I$Y zN3;!`9$iG_wr4FJoo3s1hy7Gbe5BDVo07@*B?s=aZ5&GsS;MKc!_z$Prpd8sJT{GO z?_Z5#W5jXnE_ z*m*YgQ5$>sFC+7wX=8tHV;?yp_BdkgW*Wr*56qsq4{mTzO@#kVGN=i!{Ys;(gHq%H z^+x6syuojw_el zO!<7i$Y-V8yzWUZA!MLyNbGF;Rqt3*{FoGmb1ZRlR+*M#umcC(>%sTFjj z4>a=4lK*3SM!Thc_)F8Cc|+|<5@Opkq)V>v&PyA0;isHRI3w`A$4y zHedgAjG54v^NS{;KRuE-zn!$v>X0+(ts-ek;XJOxXJcU#7ao(`IH=wIBTzh+Zh zF2M-%rT-e9=5be?nMImjXl+cxL$2{sYOG%mGA z+dAK3ROeBwy=SebkZPwK)G`E7Z=z(ffL}qKe4c39LXicw9j=W2+l^KV+ul@G*7gUY z>)Zz1Nd%v#xD8mtrx3^Rwp+ukH`=SWO#P_(ibip()~F^npquA&CMs0g=xduhjYT|E z8!Bo-$rpBfVJD2%);I2WemtcVzg9RHsbLsTO(u(xQ@XJ3YV@@}B1N@5=8LX6x6L7M z$rBbfum6IU+GXWSf0J!Z)>#8J14dc!njLZM47Ee9 zUHT@T>{~bqv(wHt{f9rGh85ej6JLh`M#^w%xP77P58^P@=I%h_-98UW!sJ4GvC?aek3OWfPqbA^BdnUS% z@&V?)U^^B7X~|FSFqLZ#rE+H|;_o(MgBqGBxMnC~HxcF2o*%L&3dMi)Ev(acl!#Mx zt&t=`YZMaVwQG$e2)3&fAVDV*|B)sH9-2#dh}rWHKkr(zkKb+*cdaq5;U$5_Z>b`X z+!EkP*k~V3_OXNqNi?r_tvSH2s_I&!sckfGq}L=CZvXg~Z$DM}^}uwTh0kuZQrczm|6rf2r-2UHp>u<9H%pB8B1^gXSfSFKiK*vP^ z0;)|Gn<7mCX(k~2+eiQVoo8?0?p5QLfNnJj`tiFoXY*wQANr%YF@B3#%EoWes+FE- zQDB>v)h*)*1B9dpsUfASa8mL-G4WZlTiqLm7NoGB8a{ zFUAN{vp(LLk=7!WY1S7hLbviquRS)_vFpd5oCmnOX;Aa%l;1q@j95R6DCoRy&#lgf6y-rsiXd5U$(BzC2T-lJ z2L}otQ=Hj%J(l)b(_E=&Qu+uTObwM@adxBkmZy~xO^vy^22|il1KUKyV&VjvD6>n| z;k{V~pWanJwmD+rGH7$U?3G3_aU!(DXIJ$sw+Wihmc{o6@_Eb6Gk)Ipwlui?lRpNl zvOc>iRQgkOIXZ=1KeX6&oyiv_$RFR-egcyAP!Jc-_)LYw%Nq*SSbGx8GeFBjY74>5 zXIJ%RaUk#PDwNbKx&#Gt0cI`}2x1BQwB}f)Yg=hSH~cWATF%~9>3mP?+3xMB3PJ>! zW9^aB0~XCgP?{SLr3bi$Jl45H*P{Lc@Ma3qhhYcQ#JkFfEF23Il5~ zjZgmWPP9Sn`HB%-iB;R@#HBItL;^EJh_=Pp1lIGE^|y?}s(3dhVF6x1+^hl!-tdLU zcC-bsLiToe{=R65c_L2nOe|h93?5$%i1JR(fxvd?lzYS$wczAJQPas|r^%3i|6;cK zN#*0cbMYvCx3*;2ec6W4$+g-I+G4OL(`#St$v!q(JGdYD%@S@!esgjnDC^`5vTgIO z(KcD6pOPJr(CCqLm z$p=h4F(uqWsF=u`CDH|2cUAKFR-48@K8eLsj9;O;j^x9@-ISNZZo!3Id3dt9&tvmT zw2RxBF@^eSaWdKo`IyU8iM_Ifz;P-rM= z2TFI4x<0`!4kU_oFi_U!y)dX%gs>`cSoo1RZ19CREc|KQJYb%d8nkh<&e9X|@N3M_ z$ivG?z!mjJ3dCXjO^Y09Qf#wWc)Bh&mMdX75QcUFvLy{;K0hn(dT5oa&J(xErr7Yb zO`WnO!J9EZ)f>VMD>PAro!l<(swnlbp73r;4>KmQ7@9qR!BAiOx2fr>_-a2z@HoID zwnfuLM)WAYiy1k+qr1#=Vb#}^T~!AH>^(8 zZ8YF1{(5BnYWDaK(3nDRGhXG{wK_@mZ%WJH9%A$u1Rc<%60+`r4GWiLV{2 z`!VjK!Y|nr8*GZIF($=2zSge3h!4j!MZ1-n-ez1)M65sCek?E_Irif`^Kq2@_<}wx zD9APII6l?b)snTN$LY1;F~H4BO;^uVKv!>Bf8T4975tRAo_PZL5fG;Eocs+PD{SBYHf?pm{v<&o!Jcm6 z`70uf=MmxHd*&n4#w<4<9{aJ74>iKTS!Ex_au_!+0`B?5aqN99ecXZ4X0;eR2ZN$t zSB5bMw?O=f0PNt-2Z#_amH?0}U86PJ7Fl1XqBz51*LUL;$LU=qwAOa-{Km_-j&{X-J-PKQ`rKKj(4&aC|Nq#n#apk@t}tcUs8r3?(XcFR_1AJ zsq!{;O9XINLw)BFvZce$%Uh%ur1^QPrKS^?1G>em7xii;N4fOPTYtz+o^+G{u#Xqw zYjv75Z&SY;on~_8ZOP#|bdJ`P;8T=}^1Cm0mheImgU56!XtnNATd_srY7WbS8;ip2 zdFJmngwNFhBD+>^WJrDc>T3)W18jBM!tF0U`rk_~nf}F*X#^`VI+G@~?1#VMHNVhY z8C-AJ8IDGB>^!QYqq>O`IYSJO#erM}Tw9vgdako~*naf@ZXUT9U3NkdbIWDS1*QqB zb6i*v7tY*Uc3c}?dk|c5TF){Yd~=F1EJ-u+#7S4(N*Ng5*2RP%`j4M7D^R>Tur-p| zRW?7T4Lez%qtz@=bIj97l*(fsLL z9PRsGI$}Q@J8gP5m5oO{U9&yuv$jsBk)O;mZR)0>k*QVY=!|@*x9uX;jMpCFc%kzI zg(8eh6F*`kzega?)BnLU*uDf*7;ZdV-kl!^>gayQ5-eSPYt7!IZ=)U&-v&Jv_}bN3 zfmoJ*m^0D9>Yywp@kj9^mzMH=4HTxU?_i>#K-|eETSRt5VS&{EUSa zcEA?e$4Pgl`gfS>0adJ6sD__p?PR6I(n8I5hnI~bO^G1~_nHh=JNBCulc6G?qxGBe zxs>RJrzn&BCY=%U-LyU@V8cK#<(c<96K0n-pIU^@`WB61*dVW~jbpCl({)$466As+ z^ubPK6b>t%@ZNF@0jV{_c>3mIh|Omi?F-~)v8GReJj%~+XcXA3Gj^Y%GKJNp?8Zr- zXW~f}5P!1yRR+1M_)_Cd94W$l%k;*?5E|||l|Eqf<6ZR-?b5xqyOY1ZlO{LxhdW=z zPHrhzGI=QZ0}WMNdYOK#A3k~3>Hu+fVu!N zW>wu31VqpwPmn3@se`7t)L^TVnb9Ech>R-H`fSHqdT7>XldS;yFYB}AB#{1Qi8MJ) z&v5rOuGImoH@VP zxPQ=E)Qo)7NSEPN&j#9gq&9iR+GSrx^Q53t)foFwef&_yVIPi)s*eV~!?TlftdX%h zu#}?N>uaRLWDZuJ&5T#fTCF}alBD;zW^x`!R0Zu#Z~`hkbngYr{SYiiUk0m@w?)vWde!)=wVx z@#QJzBY8baOf4W68NBUI9yK#Pt-TxM9nr40&m5Nd@6(2T{9^jBkLNBM_VLNN!#>i^ z9`>5Ugo2H=U_8g3oV_Kp7t95AGrUXPqeIzlZ-{^8YgVHu2oX|33a-;QuxLKj7a3RpjxnG^u|PmA$Wx zIsYl6d*WipaOW%dyg^B&lkb@|7$^C;Z`J=Y{~z+d%b6pdcy+kpXtcy2R6Ci$64%|G zhG2SNP_lfCn+=Q2mlXK3`NC`99N%C(l4niUk5Nby3fsw>8@Lp*BU;e@GIbuAD&kbsV=UOA;lM$?1)Y=U#3P;lvi;F7#xL-&p6}G0qJ@2D zfL?GKtY%EpAB-?k$oD__p5db*JsZgn*NB>=%7c_MW$O(SqZ3Rykxujiwy-maTtcgT zU(-)m?B~nA-i2LrJkn@}%XZy(hN&)$SA#))35h6hYM|d6%T=ESa8%HdL*mwdq{lY||?sv6#de-*esjYc)a%_UXLQk0Ih$bVUacI4vG3DpBBaMd}2E z+>A8o%}+6~Z&E#xoN_5zW{&Z$AQdeev)KpUN2i54hbtZN4?QCPQx(F^z@BS6hLnv*3MXfg27r#Xa=RQ_B_$mxH zyjJ1ttKjsp^LFxq^=f@{LHn~x4#zCf z|99=BcVFUvSbMG4Hw?wHlYd9yLz9VLzg*C;t={v^|5K~Yd^T*q$O8H5BI8r#;Ho#; z&Z0&gP+mAt63)E7Iy~t^?1Nt>Z_AfSDnvwYB zg`xQ6ex3%&wL;BEr*Re^!}r77{`m*{cb<&sQK`Pc7@Enfy7k}mFq%EBqXz^6Wn=U_ z-*)u1|Jc#5nNDJ}m%o!P*M~b_&P=XfDNOC7zxC>GR$}&*y`=+l{IEB_+glwnO3d74 zYC=AsyVE+l&iCuwRXBcrA^(&4FX2C61%-d<_8?6LaGQp6D!T#bq(_{d@@WHHvYfco z6K*&lk@uTu;y5G3d2<7KybOfAA>F6#UG)wX!c>32BTXJZ@GXF^wqzJxVY&0w++ggZ z^wvogP9-kso@O)gezmV5_%W|y4+EanX#AEiE9-4wSM(K5_99o5ejA51H}hsLc8?^k z@@Sk^!y-e(#%30!Mb8g6yik!aTG7ot%7cedRH+qGr9ON+wIm7_{V5}@f)kwx;StBE zQr|-^aWhr0^LXq5l{PT?#$01h?Fp8BJE!elql-6w=ZuI@z6y2fygpfyY`RH!p?^WF zVg~mMhdg~*kS;%m>afQ_Pla#3l^xB;&Mb@`h_gMTQ5xH=UjDb zkOPdzlI*;hUu(^sdBd_C@0RY^OE30j^7L-XAoLhQM~A#yI)br7FZO!OTUj@bF9xhXl<&xlC>_tAlHG87?go#Myw|Y1rqdVdsTG zj?i$JJ(MfMv5)*WewCWe{4H_-HJw3CI;&K+w|Rb;3wy$oI>VX$+EvL45A5hYWBIwK za?%%V1AYilBPh#qHchqLOJH%vzZx>E0i@;;x$^m40g^5!bFY+V2j{ z>*$Ki(nszb!mODXY4Ok{aKXpXCdQm zUd;xB8qWqp{0364*sk8Wm&6abb7SLQ`Zs3yMkK?g!XdXsD_)mjh&;Cqy2?Y(5Z=H~ z6{m|QZV+SPd2geAZmhP?2f{po;=7H5P^_oXu13%436*{=-@EP>$~Fp%dwz+kRM%Fa zy(l<-Ga8meZP7CMf!2PMkyG&f!O|Cj$~bp6>5UiLVlGRe{Ba#eL1`=DioIF%VGMKe0fim~D-12WBJ zcn@qX%aNKym&%07{5>3`L)(mSj0HLaCRCtP%L$c99^MrQOCFAtjg7U^DDSF!RSWWNSlv26Z%|?zc{qf0$eR&{tMrC2 zJ17i)K4OJo9SEaUcnKi8k%B{Ig#_T7KmpP^MasxXiZK0EBTQ4!Lb#c9c`_dN!u(RB zDJA*t$GSozueD6#FMTm8hh7Z#uf%Zw84hbpx?E@W@ib@_FzH7U_Y`RmR5+KFRN$AS z!dVoiLyP+OS$c?Fh&lWCxuAoe`48}O*}eQU+{(|w<@`L<#7L-cUKuic*&?~RH*3qw zf)8$#DjS{<7pTW?YPPe7>%!8**3B$?mLysI;Nr!MT-%-w9k+T*0JF1<@^5 zrGkcqmTcp|=!@7LZ5!C8W~{p2a18DcHnGe&!z_f<*|AKyOt|%Sh3sT)xWZ*ELazL% z;eRku@D)~*)7}8N&4#L)VXiNjuae~X%h?_Jgelj%@jOlFgx`3xZlj?szKmanj zj3<34yh9=jqD)8GKJG;t=$u_LIXx=%s~K5!S?B%_E9x)M7~2vq^w<$tK41i@I zeaMOmWn5e+q(7xeIZ<$j8(d_9b+FrJuF1NNn4W9M+@`S(I!zSpr*6h6l*=>g@}KEh zZ4h4F*E`Cj^W#!{RQXD9EmffN7YLM*4fL1unf9;nPmJ-X4W{of?PAhnRrDg!WyBEmUnE%y37~2BJWP?8k%4 z`wOF9njA3rc$|hud%?%I&;%eUjl{=gLrog2d_}kKuv?+l3oN(?uDq+2WPkdrh%*t&S_`3XOXa_-#7 z^{)9Y@8J#3y4c5Gq3X=t11|*!Ru&0Fy*KF1r?)1(30}Qd=}jQ(t<~FDy3!GIEW(%Q8?$neMlH8}qtE?qO?uj9 z_kSDDC;5Mt|Cjjh<$oGbPyK(w_X&IlTw1QrQ8ig-)D6;dfRKmzC;08e+`{DVt|a%s z<|`GlsssOJY=~FWFIMj_m9P4{ch!#|-S`%%@|`ag#W8VgW1-!a%YQ!q<08&#F(?tY z+y%<+^;Vvu?+rZTs|6(IOQ=_VUsSD##3nfr9KuKhi$m1m| zKz#LN-WW&z*eAJMVDQNp?<%jU;7;YWwsBgvJ^_?^-lLyNmqohhNz|@1#8ymt2KEJ? zS{oWY0ONbdU8b_jU--^%f;&c~g+JII9@rUPaadiy?lO15vsohI|HIpx$46CUedAd= z5FpqcNhB&rt5Jg>M1oFYJ@x0oFHsT3{Mi@gd z7##+pqU-og#*@m;D0+VYf0p3<%1f`Kcar>!n{FYKQlvpkG@%_#5E7L z%_JwFiCscuQ}Qc~ZQyF?f|De(qD-Wvv~3`5B;ZPKz(aUl>vGCcodYABVbVz2%u4ly(+y3aMOXr$pZ^qlmDSEmqNV>2$r{h;ohoXf_9OH!2@o+Fw z{BVGd{tb_VnaxK1{m{ZL&0grS2)*3!6rVSG~reugbMdx1>J7Engq?)T~sZhEhltl zLk0Szo6x34@CR%2QdhM2yff=YQ6+sKfU&6twFk0QEBX=-rJSfnb^Ro&>%F16t^$1_ zZW|uz*8skxbE^z4{O8}{Cf;T60FS}IBd&O*esrK>-sOq?wiTG0g!YwCb z+pSpkRHPcQ{_1L5d=hKbJ!<~m27er%)x!s%+nT_TYeN$;c^ze-!igF_ZcKrRkUA$~ zjyTGoc7moRtu8}a4r6z!t*in{7JB|b zxZKUKKi|RlHWi=8c&&_@d)O|)fjnkHtpcMgf0c$)%N_U(O}meqq-jIHznA+EaTi%8 z_#pBTM?3mq6a3^$35+SLkcyx#v`m~1U^{p*}Ocv%45ine*f z*By4YWXZr>#bNZ_$ zF**2SUwg~#2mq5}OSyyY!W=Gz*LkpnOgPMn>`Y2-_!E*(m1KKMds5OLv2Qgp&7{91 zCQZq&H8#s)VQ;w$3915dhIbn37yL0ZP#>!XbNo>)FE~qEE=(|-JAVaAcwB_Jx(w7U zIx(L1=_5$HL(&2x;?bF`)La#9l9w<@vZTn<_$M=7#;SIn*~wBd>11g2AiK`YiqCeu zQ4klJV;aDj#oo|d9I(#H$87WF*JBpQLI1M+#l#TS`Gv?yoU_d`SOnqR^wZK{JXq5B z3U8>oCNy_8Ohq8TD0sIq7;7Q!N)Z7?1kf#yjEZ|r1DT|5IT678tib#QNB}%VsO#=&~nZZ zR)OYT6>?IsS{7s_3ie8g&rxb1G$a2eC7)T73!`t&(jhWGtXWEd!ENln5zw5_=I8*# zgpMGi%Lp7>v|gsBs#WA2#A5u_9Lp`d6AA%t+mOqcrPxg0=hGu0{EkEQ0hCd$Qf<%M zqBq5pz6>L2jFprT#d*AiyNgMKt)xCt7!+7ZPciAxZs{=F^L?X3<4JcgX_q9~o1>`g z^U$Tn_(`qtIG#R^x0Y;GP2znBDLS>7fusqY(x_uGCeQ+OwQvNS{C|voi{lYyK&e2E zDd<8+d%*Kzx^kQ|u}ZmH!xC1%&f8T$#3HWXMMRS?n9Qo5s@$)7&EV)X04i2QmiVdk zN#NBuqmd>=i}a~kIJ5oKtG^A=xJ+Mz0d^Yi-XOwYr9Ls!Wi%G5OhOYoP!G$xkTQsy zXU_7TM*`is_B3XxJfw{11{LPUw~c-}qpx!U)1XXee#B8IYV>R)Wu|^jWn#Q z;xn1k)SStoNtmgVD)6aKnAL8Xx#MRWH_VAmR()a?+??fU`s9j`?Jn3uz?7gz)lGQ3 zFrZXBc8>EFVaw^HmsKgqpg(f()>KTxIFM`B1JHM(l zY#YHX7xX0*3#zw-CKQOh$3wrd?&XzNe}im=u;KRW`^sIPFPfl*ALdG*WFI?#3W5q_ z?k<^Vp;Ru`!5`*4R&k<6>Wgy#Ia3GL8iAHEyb@8t)DQBmKN<$~mCh zi6mG^pvfA{H+!}5|Gs_SUw72@y>+zq6&q7N{(op+p>f)g;77I(RIZu=MxO9|vr+jQ z)J$4^&#`5!E_^*e+$lu;ih6?S6{?U<8@gPfStKaK;#BR)4ULP_y)PN@W$ zE3f4+a06jU`LfseUm$edjE7Huk3jIp^oBE#(cF0$?;{U1fY455$5$;;Ohs!otc!9@ zXEHeXG+cAqQFk-mO|zceF|bR`_^vgL{tTxIjk!&(i}i<0F5O)`hTM0O!=tXqeF%OI z$r8h zVU?Y41cf)o z;x3t++%D5ztHMaXhB^*T=Ull5-9|zWt&)w}36f)cF?I5fAlj#Yr(ORI#XZqC>2(D) zFwbjNqJ+tKbHB$v+qmijJpVz;<`K~y`1XcxPIVm!T!U(76fEIRJli~xk~dzU=h!J6 zKKG3#WIqYnQ6pzO`awqbm1y;5&>N_mD5~r&1}hZKjWpt*^c#eOhcoRh=vuT^wgKJ( zG6hv!^j_dpOGIwgJ;3?=b|K3W3ab~ydXH6|E_o&O1 z{tuL306H{Y)dIw}j(5~E5Q#anXP%W$Bu-r9hBP{At^JNq zpd+xie1QL`UgUjzQ*^|ku{7>(*;XnQnXv<$lc+fC?e-jJoX650*BLE{SuB2%pZV6z?=2d}0 zbiP-VF*STJG~r!s_;(TYGG=puSAULT4%sG^$74Rj1P0yl3?XM7GZqc8C|JO$6Ed0F;oQGrV#tK$8AOdtOXF3%(h4m^21<|Oxk(Fj z0YHsM%rwsnseBsUO1qe8%_^-APU^pmLYB1>^O^YDSjP0Ii74LzDTd7fquL!hk$ z1Bq2M$qIwx#f4l9QwnxFYeJ>ieeh&`O0iqXk0teBVDP#ot{VJ{6C<`zdK0M~7sVI$2QE^mxv$dX zb$}-TZxXn1-BoP+c62Q=>mjvtOo1GHg(@4AhKeSL8|D^6GO%cLIMmYf zj({_}+(fJdE6_X6yRN}3pI!yVL{X-3mf2#%hbU5W<1}e*$uRpeE*G5HmA>$cRGKH; zU#{NBA@rrcZDb=KZiO}+<9c%uE-r$U-5}#WFysoZt#u7+gt06zL|T#GMBLC=9=^91 zKE0Lm*I&Jnp5e>W-!9iXuuqEJCpzkWX%RLjtsE`?2pE~mhAJ~@gIuo+#Y7FC#;0jJ zS)sed{M|gVL+8e+CPsePFVYkamlb5khzSKQzp$TzoXJaoAyyYs!Na1Y!c{I~{T337 zy;&VVE&H)e063J(x2Y6~iLtb+sJOaEGSTrn`;9$?34!hlI&sOB6efjPT=3l6kmc&1 z%Tjo>EZc%PbxURnl30|k+Kb37T@JJNOJedwfk1Fcz@G(0*{b#9Ud z9yy}CTpll7F`3*7W?BAoS$H?y%p&KmvXrSqQ8gaPT}%xvNYVzJoaKdkFt*N}MOOcN^R(;ymC=B1s$1 zB32mF^(A=ae%a&5AnwHIQo-_Xqg8K8+{!LQ7V@N1z>{D}pv3fiw+{+9x;x4C_SI;{ zh;O=cF#U4P&1!5zg{A?&6m&iU>J{zl@LuAT#n9jgv#Ew}^Yz@Nl&5br+0@bXIg8Fm z7IO5TuA*^ig30kzT3ZQ1@JK8QZ`_5Y-%cFK=q39TM08g8b0jzjSO`f|X zDRCwoCqo+;luWk~m^8}(g5SgjaMI=EzS|)n!+Gg;`<-sUsDbq98?_M}OK3yZ*UPv; zCW(wu6=9DU$H1aX4H~rXYS4a!p_dHWbp5tWSoBsOaJlTuze2BxK2xg}5rAGTj4c3- z4;Ct5P25dKlnX>XYvJ^@9Tj*ExV(5*8INk0SAXbr4YDuS5vA@|nPXL6y}^2EM2(b1 zFGpWba7pf$$Ll2a&(C)Y-}mlW&8pman+%sF;iF#aD4nYgL^(`Uo(DM-XK{S-vE;cz zNIzJ5po=_0@+rg`#7(v?>r=2NZQ(%hVhB>u>8@d-66v{kR~R=>F^^$RROJyYS?og& zyuq^Q*m$~dc0ptU)7jfoqB;i`d514K0xFmXs>R~QF&A@SMW`J`Qct*_46gsTNHOXxtMTa*HSB^(z z%pg=+U7p+i`r9FYS`~p54w7qHjk<)3-WHt+SG#ymscuiwZ)w%CfztE^#eV&2Xjwi8 z9!~!`9hW&1Uxw1bSlcDMe|}Oc@7f@(9I6E8SSyotH@$_(1mL6UxO94%<%lQhzT$jg z7dEm+v8oOC(R1QSAJ0M3P)V{k|A3(j9){x@C&)E{8pdQvTuUCza1mgyTnfI z`gZcdU_)_D8eYc5T2O(^dN)>)eb16dgmdrawpu9Xf7eL|&17O+KDv25W9`lV1fJxM zu(y7SINWW68B};gs_c9f7H@T zrxgnv;R%-9A{)4eP+n$8p5=(H&=l$kq3KR<^!5bAe{Tljch{<#KdEYoqqM|!-7mci z_8Y@5x(FBgI=Pv155pl367)C;p>s)HmMxF?9N z*zl$d?G5DYI7o4$D>ia&7g+UtgL_-Nr*4kNE1y6b|_~c*-5e-7S4V5c7V4j@Jm%)_RmhJ%O6#e)aBXax@-WP zu`pH=Q(2dvE2)|#U6fSPvc!^#5=wd@xuhzVG$>XQQ-7(Xy;PBYwpzNtY||-;C9PLU z(xz9FOWHpRS)Wqr=sl+XQc3A`CcjX&oz-6&H%eZ6GY`vg_4CtqWXGsn#1>qv@Y;(Y z9)(u519#*vkU|r{idgeA6&Nh-2%?IQG*Ogw!O|&#%ZXYNw<=RaXx0z=T>oC=fgfl} zI&pbZzYOHD(a0&M+*>z>7kR0$=~+kjU~gt}bG*)*TFG*Ju0xHRRk4a@BK?8gv~85q zen5PjLmwiCzO7Sn7V_MLrc7r~&Xlw|v&C!JVqDQo1oKc?TCBj(VuF}0=8aH_@kvdl zPCgPq%F&zbW$jdZ$NHtc=cx7;$J?tUVl=tlYVupETwn$9Mh4^CY_gQr7r*08e)G4e z?*o?#?kivKhb+NW)as<#o0kJ00A-^Q&i&i^`P(X%bJ2T+L{yNxFU6xL`CxM$Q@{_Mp=EZ$n7Q zHIVoM)DgE3uv^%xAQVy)j$jS^nO8j4k&#>jgpdP6aJ4uvk^*MOz)WvmdO7(h;JcN*D-WJ_+J zmSKR`#ffSgbYCRuKi?ok-EB;JO-5&6Xw?dE3b2^};gH6*#=obo?3@_PH429Ac;hfP z5hgnZ)2v`{W|II@N|1Qg52006DzAC8h1#jDAm9pZFO{{b>*%eDo%vDu9y0GLif&~heD@v~U13aOU8*@H;~Db>F0 zJ}{bi+iqdwN2;n1StmaHSt~{L$!M*fKaW`szM^Ko%7XF!#ViL%{%e!6#OK!0OWDFK zcPC|uPy3^1xtCe0lCs2S{n4{r!7OJ<7JJL5XhpndTueGP2^)_hf2n6unB|j|i9Lfg z;uo{5{|&PIEh!5Z_+KjJA!b>Sl!ZsRzm#QIJ+e$l$^t?>N|yNCk=)>hmZ03Z2<7z-Yt{_2$ZdML|ztp6q%rZAA z%YUQ7a%ORxbw0KSR*O>7&ytnd)V0u`82!v_kE2@B)X5;NII;Yhs6T(%8hJjDz`tK= zz$|9@M^cvm)_}3hvPiPnn=d}h2C$_6)_|uWyc(J+=?2I~cAnQJRDKuJ3sgF8vGC;| z{zYMxXU+MS2$Erz{QgfYnP99iL>S6uN_K(mD4#Zpj8p}fJ($nj>t0gCvJ1e{g9DQ) z@yJZTJSs4CAOU*O=HD;%;I+(Bo0R3h_24LGIbUS~6J{ywy~t2xjJGz0P=gf|I)qSU zB+-jhn1#dzw-reBD66DvM&L=Up0oxW8mTK^>Y+n3bplgY2{L=jqk=<>9@nxzFesyb zpq5Dqy2{cqu8+n2)J|SeRsQiU^w?rOcL8<|^6nxu9>di1WsBOVE;?eug>}{zlHDlq z5VKm(oXG?Cqty34B&hnP1+KxsnpvY)#j@5hYhoLLc?)PX3Z7vp;p^w3FE_p*GoujW zj?M||eC*037$pE3!-49kV{MYqaH44zG=cZy*!wg3Mv1mJKY%8)gqPzZxtqJia#cF0 z%6gsZs3n=a=m};y!9@8r#)KmZS9nTu?5vm; zBG|x+&?&6G8k5KunA`Cj16iY`lEdEof~t{y*(L>J)_NDQUSqJ$F5?YO5!ZJO*O>Y^bb+alOI0LhS;vSjWns5Q+L47S$}N~~JdIHp3QP>IDh$JtG0cCRIrzR1ax79g zzA`I*hsuG+b8r$4M~8q6@`bd>R0a1B6Ye((?$l(=_SPzp7_rljIIy3ra?Lh#jr^Hh zXPUX_NgTPNWY~Dm{AM)@`=6D5xVCp${{~^Ap20li!guaTGkE6@?o)A4j=O*G3{y$( zRc3m&?oimnz>eE|9oQXhnfIl+$)aQt!5n9~KbYk*I{p^muvP}rpomVs2ixz z{q|rs=UzBB->lKs&qz-sjgE#~k(FFl!nuAEZp~5PDhMZslb~<2Mh_}DDtb{I-q%t! zn5D2iWJ1kTQ0FL`!2f{_NMUQ|9K&CaPnTa^b8V{Evx5Z+Mesn!0Y)QV5+MSeu* zqxQ#|aD9#f$0zq9?q(Uh=Ci8J+oi71yo7UaG(lQ=f$+6J?9`?L#47tY3IqxsN5-#FDrXAZZ^5KHJII&( zqGtm5HBroNGR{%J@+grtshk9|G%qn{vQ%*-FhW`dqlD9zp<>+fSD5d4joyi#{t+L( zi34v7_SSAR62GzCpS~A8@rAwh3&h~p2K?G(Z>0hgp)c*NJffiEH03^pKFcssrmsWd zPJ8QfNYvocgi8cas|MvE{X;bGV-&F3sC*T!#qb>RX0bt){Dv2C%=RQpDWlgi0JI}C zx(lJ~l)04v9-YDdm|xB;T|l+YD1TOEdj#2le-9?dISZ};G2sbR`dcWR>!hl}^o!2D zt8�`%5$${Zs=_mC;@Je5%$B`ZZDqVOqMUSl4QT2UF|tFSD*1uJ;2j4_=E43;~ZA z`VZI_poGd|Z`hN1>!g6st9OL7*|>v;*G%CR2l738+!2N6#|mH0)ALG-gkq!In-G%4Cy}2rl`2O(nZSTEd})u7`z=Ro!2pDD z`NX(yKZQVUzAcR#5^E;u*L(;T?{VK67I1`UB*q326fm^a-G;uqC8JQit z-%**zpyos{_bjNNQ8R#(Xy3QD9*|JM0Wdx=rP1%%TR%q(e$lkIO zt%o)Fbg;G2TkWl+FETi00AE{cC3EkG zG8%8*0cZpNwHv4ZmChU;xic;!&k{EIJyJ&Rn|ldL*(4=_%U%lcWGY;;O@%;`Jsu5H zm!$_jjJx!x+zhM)s1g8aJ2L}rL8o>a8*xSlz}xaf(i`uHW+}%P8FJD=9#bn1DT&29 zMjCtZWYnS!`_qu^IK>kPFrFK*D%PlZjTp$E!C zkT3YpO%EI}Iax?Q<1ffOxu3HYR><4=3(T}uTs-*oZ;i{J=;>L-d8_mq{mJM0 zXyLE@;U{(iHp%`^Zxt*!!3yWVpKn&aaXd0p;Kg0ip0zaoU6YAxqz&)FuQOQBAASTE z$Bx`I(pKkdC*ZfNmYVBhdpLt-aM=vMY!#Pq{(Dh3@VsH_|oeBetOpjyTJ{e77us1&oFb^Dm z6i2T&p*>WLRwYAw6!g;NCbT>1GNIq6vUZF>+nZIH$Iv#T%J}JjrOFFbtytmts&3G* zznK5q^&+JiYdZ}6Jylv~!Ol@8+nI-mHviL4KSX0DcUIh}C>1H@}=00i&B zZ3j$Up{m16%w^UAOUg#$D%3&$IGUYMeyB*wZrP!QhH0UhFkT}{yZ5j<%)lj6Yu)1= zk;{~pL5%(m)}1HiTlz6gAExQ)xW5Y=lQNCHQss?C1mAvrW~M(h%oqGIC9qwU02|4 ziFt4qk5Hc8N*yR^rvg8R=&gJ_om{OFKb^WfMUPOv-pX?TgbMW5zp2njy_KhLh${pZ z6&kCz@`w|0#m1ns;h!E%1slude5Q!?sLADQGhEC zPqro4gX7jZjB$eSF3H*Lyv4@LDyA7`*=W9)!1oDKmLtfX+tj3*3Ae<#))`O5cOk&b5i{2YdxWhSvOnbXQ-Pksj-_!k!ye&rNy>} zF~0CcY;1CSi4TuR+prYC)b}s<-Pi^ zQ1EpEUq>z1oy>NK&#mn_6mPF+2kuhf9@hA-zq)S{=95j#7@Fdh>~*51R{{&4dWJ(# zK6w|r zs#S>^h=GIObp-aCfL))ARRIh@b9KBj7PHH1FWn9HV4OP)&v!tFGz#D3c~x`{3AQKh z%VQ4{llepSJR7QKUhITy>(o=dx(7I)ss#%K*Ydbf;UB#Aa(v;%PO_#jyc<_{8H*eo zUxN!;e-GyCwPIMID^ny5PBPu$sp%knFBTy1C_0FD8?TJy0De;9Y8Z)KBJZvH!sQsO z_DuRuMi0P=r%4a(nIt14=g$zHm~c-tj2fz)#EYi6DqqF z=T&SokQZRvPUOCDnawxiZFt$S;bs9E+-|d9N$PZiI)UViBak!!2{Ev}+fjZwFtFQ> zXm8ItvJWQhgBa*O#4SDguUDPM0G)nm)=JWh=IR95?Be4lJwr$?ZyQs={zzAv_!Ol{ z5ht<`5bgudwB#Gok7-Jg=GQ|c8JNWBAK*P4Z+K!ViJ%a}UTCa_46Mq6k-ok3U=TuG zN+27$8s=Gf0_L0X<*_VNXN2)S_z=mqI6-*fc?pO(@qG*I-YLBv`G7X|>DDvZdd9hZ zpoS|#P7ok^{5h_2<{B?sCM@&tZUpC-GtSvDF)gL!7CdPYLcc&N@8KpoYQ>bacDZ=q$j1a_nz^2?G`@s6Z8zX8c*D_p#r8 zAJS>v8eQy~kH;LIlEVW>Yb~cFB`^|I0V{{BNX;ZzL=ncQvMDT8K++{PQ^7b6UaD) z$jCLrm#33)P8dMOxs!}DD>kLz^N=m8D5w0gR<)F(9Q6lP#y-p+Y|8a-HP>2r_pb0@ zaSHVnuGo-|Wok3BdF-X%8XEwp55kO|o8i&FjTY;hTw5EUU=miVLDeTL!;%j$8`8`t zLV}$(EI;T-ceiT*`A<4fs%l_4nVXFEY(Wbrdct~5wD8gWOZdiTB_ce92rtcwRkTnr zo@p{y6XS}X!8a+Z@pE#tM1)(11K}hf>`*N~*Q>wh+SD)_LMKMroS*x~+eg}*ygx;T z`+66OBRBSh{3+nOmu5A7+#Bt!z0jTsoTr0Jkp+Y0<6h8BeMzkySOC_UJ?QDiRl3H{ z>8$;k!5nIgAYT1R;-Km!EVchMIVYY;lKv)b3+FU`GHG~jrnTz?6&JRF3R6M@NI9{M zrnTS16Hi||dp4BQfAt6U=EH#O*_i0636&6!eBp}N zf)b~Xg4LuCic{^Gm~HNEOl~Dbfl78p=rkpUO#DXacR!1+!KuT|<>3pFt&=O1g%2DG zZUe>_@=0one4UvX2;NYi?o9#hkrx3wmMzaApx+u@Wa4g^XOfy#$r!)=<@!Z`Z6V;Y zsiY0Fm7*U9GycW)VHWsxy&etnp)oQ#MmJ9V^Z}qVi?bw*1JnG7KSXN*q z%*?^ggM50a9J~L}vix?Wq2PVNANt}H3)HEWv|6V>RI}5M^ZE($_$)l{-`)+@;Y;uA z*(rN5NRswte`E%|b&J$VGe^woUujQFd`cWIbSPxVPa-prJ&vpbzc41bpIyKc&Z+P) z>p1NZgk>uco(lGk}T<#6}>l-lT=ZN7@(0_8=me1 zyPV?2ykq-_1y3ub^{$2U)DQJl?BYgMmmORLhjTRBtqteHM*$I>Z%bXQ~# z*h}yYYAI3zCqkXU7xXqmCtlr-_w>??ayy2Gl#MfI{I$z>Mu|JRsH`LN`IA#WU_W8u5;Tutu3vaaUV@)K(T6nGecp zdXp{YOoZl|qh`PJS5VL43;*66F9uKoTWwnNBqBUBXRf|(#X+#~ z39qE4e2LEr5X*Xe2ELk_@&Z05y_T9%gKz6I2Vv{eY{pw6o9tKkt5d1D$4~60@*8-H)DztkyU=7)WpTUFIEV37^hZq@;Ygun^*@wdD2kfwY zxq+a4xEi>9xGTNbPdkfO^A{sKexE-Zzu{4?`aeEA(qY4+Z~5xXvoZ?dU4p1+D^iu=R178C)0x)617X9vE+@cu%$-i8FqBG8$) zA56=|)5Bd_Mf6XcQ_=)cci ziA>ok(NmB$6Ba~s({X@{a84?s5wV34TM*8{dzsj#<004IOH*A^|AoitQ*i328s`y7 z&v>{Gw3lzHbo-sdF*|jgJ>Ik4-t0uv`Mn>l=Jz`F-SRQw{n9p=f1tUxhFYJ#UY?XZ zjHdZUysve9mxj@hzC)WanqHv^Z|WgbHw)ryyF=^Qyw5(}{Wbn+dr)U@8iII|{ND)s z9f)!GQ@aU)i0K+afRMDb?!XIv*IN5>_@DxjY{HxO(z{(K7<~)_+(}_uEArbMsu$K1 z3kuHm79R?H8NnEtgM{505a2u(V~CZNqNpq#+h8#fA#JF!{1zcV`1la7zF8oiCB%D( z$D$@+xPKl-2rCfB7YeIP--x%gj<3?-(DYuyT*v)JkYvP`Wgb#put5|vGdPIeO!k8I zHNfr`YP)jVK5W^MG9{DkcJD!ou2RsV8CwMp`=#RF7U~$bY^^)6Tyq_!xdb}seH?te zs&Q!kiSDtWfglT~WF(aJ2{{i1J{GDxTPSga&ii%!N-drtGb{+@NVW;Dnh%~T<` z8_&Z5pz#wDgr`;32prk&El9ucYx@<@WX#abNDVJg-c-7$7vxSt{<{~X5qMbfHPmqVQzB={ zPKRf=STS$1EkjRp6OxP!HF9lg{5XP37iw>#8nr|zbXPZ@=@tZV|{}izdQWl?Yp~TT$ycMJEbo)cU)z z8p@JpoQsg&EVGyX(GB)V)0#){6??!GkN=7O!Ht*E2JMAaol=n&>P>RfaR;RC-LNY= z7DSB&>x*regt@E6aOH=jnLGS!xPQ_^l$($MmF0}x!b_;RaC&tJt5@*pN<3abuFi)~ zu2=&g+F5Rp7zn#ptd|81?N`HEd+|LBGm;T4- z6N3eqXl9i9aWiaB3VDP}pk0I5^)z$^5F)7VadXXr5}m3V(V3f7g+wTJlQ?XFDN#`m zPnsj@kXc@m?=nt3z#52(5Eoak6=d`#Bd9#n51Ecvdeh6VKIF zbrR)k9M8|@rG`55Cbg+)mve!Vm4Bm<)+|%BWF;jyd-Gyc2p!?eLfhqdogxd=q{AT8 zX!;(iNi)$0kw*dNp$7uQZsGa+sDHDr!EUq}cVHwQMmHOc<0KyLRp11IM1avm79}s< zAxJmjo;3^SpD}=~Yx$73bz52=e^)@dz6$|q8TVVG9 zdjmOLp#jIx;3{4jOS3me&@!X#Kd2n;Q<=@tbtWc6AcwDKecia8^#Q!NC%4M*e9<*| zBrrHX?BoHG#SigrFz!crmUH3sT>Y4uz8$S zhyx6~Y5l2sX2qI}_$Iw2*x!gU5);v-lS9^JlbW)O`TIDCt2iG}DpME_yF!^FnyX8* zdvSs*zl;kNut0&(!8uLVCZ(c|p;VaXC=(sL41=&U+BXAm9Y+^T49V% z0{Zt9%oPuH2DNNKH4L0K8d-bIb7}mbEg9awFuI`&Fkdo7oPip!tBqX=(OgMFOW5_s z21Mhb2vt>fDk^1FumD^z;pg$?EuSU)>{WfL?erx!PH6Tvwil|3*C&*#s#t7XmK4V- za{P^7Gup=1(SC|mBq11QBvz3Wl2D2Nrz+y;232&hiuGm{yNvbUA@WYz=)SU;ksY+R z3r%oq)$5I?B`uF>tQOPQ#~Rb_k~I4Cex<-nLqjH1FfD*IxZ;;ioluipT|BNE>)_*) zJ2=<}z^7(sg!F{-$BRdN-pP|gFffKg_gfkjL< znl0NFr5ClYCX=wcI_n0&t}hS655~V&(>tuCPUZ`x0A(LQFL#(Te51rgsxOrNAKt!k zX!^`NqZJ&Dit|PC{UbUv@TnG>fh;0$z&cVf8f~4Y7`+eJSdW)z%RkcnCx8I{a_&OLUTZzRm#h8R^TFO8Z?tlPxYZ!>F-iH!LjEjejzZ zmYp!TguSOz3*MHQf;%_WlN>mO9f!fD9eeiJuAcD@+yKfjUrmYGV(?Uv2JE;ggZ5A` zo~h({r-%!_S`HA7D*G8{O2a0hhQ3T=sQJUlVPM_(TDFayOR-wntHP_JFi@Od;q{+t z4q|c9{*tpB#>vPP!SP+zAYzAsI9a`Ikg<+-u=@Qfnas7VZp+Kfk^Jgn$}K#>;d2f4WiQ|xPlQxp3~id5>#D;0pCh*3GO(fHBcYtW01cgKp%o1)R)b z_qevzz2k9ht=q(u(*cxTHy*y)YW%hC05`d^&PAq zdJ4>eccVe-PO_!~?0gcZJM4jc^^yDWzJxXZ_0VEujWnB4FlDnzXM0`k4TAyg1~08I z$*vm+hJ_H!G#d97wOiNO-U5715jayAuASP9L^!DW5 zG3g7_pg^gTVPR0_+R{*hBCCX6ebwzy$bmFhmxr@{zCedr;FcsR{<-o<#SYnz7U98< z4SrJdj*{aWZuGQ~*(B~ae0nKl*C{E*WHiIBTY<^sadiYTLbql{`!;6ubcHax^h@%P z9QafL`%~OxJvo>K3Uq-5iU>J|tSxh$(D=XlJD!p&Yz@C!$)!Kmzj~>=6c_R;nYC|e zs3Em7+OM&1PgiLOk+RZ)CN8lxzK6^?4VSDWH6`#1pMD7rIkMf%-Y3+M4FzjsAJh_2 zW|G%R^2U<9+936?(`*gnJZ-FeLiu1}ZjbJDO!r{E z!Ct(i?wPTXQ&%)r95lT44ew1j*;Fp zDaoeejHEHG2e-#=YL|Be@gxD#*e{$TSL8Lml-w`YBo}?j<(6rxD2`#0>ZNaly(QPf zOm8o$!Aa#N(P^s|tL}>PJH1hZ63ta?Z+Q?&9(nA2o!2EdhK!4Dkf+umj4xk-)L?_l zmKtzjm+y5!UFGn*cxbxB)S{}mB~+UjfjZtQvy!HHUC>}<%YS60cFga>8a_jSB?WOa z?qpU$o`*OSB8EHskZ&I0RQ7+=miyPRpj}Mlc|9BIF2ZLdKK(swQ&ZX?YNYV` zaB9Q9y)I9|qHj&c1Ny1L=}wn3dX=QUht&K^}vX@-{hz&9QMz-iTAjPtJ__EdykWzfV zY(CNQqk2<27{Niz!IS0>rw(K^bRgJ|t)RXYy_LJzbxNH>Rsz*GvMaVaD!xS~sX8vF zjTQ(PB?HyLQMg>c-q}M1VrW7x&OgCKcvP ztLO9)gPGOp)TDZw-l4fREON&6WlYYYqm6gwX5)kn@*bAuuNZ6F0$Vmm#`7aVDAj-{ z*p1lf*K~9v_!exA23~!Faxo!qbvtbBe3RRe)eakvcK|{I-s#?USh>I=$vy*`bKboz zNZwt&^;XkCihcIw1EKx2H*bPQA$YLf-g?bI>W4Bm4Wl7h2Rf%YrRy7bzt@*7egNOT z^sb&=_Lnp69E&Q1((Er~EJ0{#X_}^YLO{*99KW;>eq~IN5ZB<0i&fB}XG}&2F9!jE z525QqrSM!S`3@IZ`3^})@*Pw`2f+6u2yn=A0{%=4{OLIOUrca4<4J_#z?Z~;E8@WA zCNQdZp$YbV)UjeiG&Qn1a^D7n1(=*ONC{*f1*NjF8DDqL~(-B-+ijA9e z(m!y_qU!vtgrv?-t00m6MFrXJCsfdh;A1L?hG+aq1q)HgLkOafVia;Of=f%!GYc6i zFs$*33Ys;}Q$ZGztAZ@#SQTXF+7XO*?o)+UMW2w6RP-?wB#u9+AaOjTf=)f-L4-o3 z1*qG72%&Bxfj5lc(o)=Wl@1s#z^vOD5)!=mDoDI1t6&~7o`m4iQnbHwbyEken1Tmq z+gqphm&wpEBt97&->J#q{nnfe!1EkgdMHiLcoqSOoxt}OgqD_OnH8y5005mQq0&q} zqfTH++czPE`eTPLwRS0BjJrT&0%EL!$O7UK2rezf&Q)N0umVWQhY?`OFK2Wk1Z;%; z4#7C=Dg}#5tdtNd@iIcVY>8~oA;d}`+mi?`Ej`XGqE3L>iE|{xPE_@bC6vSxGR{>& zO!ct{DHR>eCQhT6&U+;e)fRaerSzGCu!QL15U1P<$3Iiviye2X2i4w7zM+D9iU)Xr!)kYmL6+%V<(PRRQ=l}B;EL$ z3ZffVAr$Y%Kn!?p9Jtm52I?CTTpHuE!(z}wfYe4>JA>qiL1+qygk9F7Cu zVFIJ%Ruv?tZAQ@Kv`9Et5?JN23WQZYTLn?dXoOG-vJFRQX-r)B@^q_mpG!zM-);oa z6i$#25R6ZdKgFOQHlg*5KOzKJlO%3d5PHT<63yvWgAlNhkIqCe&PPWmSk!a4gvc(= zKuGb?lMzBT^3gm5<9zh9)2u4*mJs_>$nmeSgr{N&8IP+Vy5KQ{;vGFB20T3uJk10~ znU^CNpT2o9=;KUiJtGI9c*8%=w`%n-3CZI10fI|oee-AxcZmGuS5BO}r=KwygU8yNI;PYpE zzQbqA?$neA@L7%>SjvF^AO2F)(rp=i`eqL37b~nkY?>=SO-)&V&*S)P!{;zQ=X{o$ zauGf&@OcfNukacCd1}gdd~U|)DSY0?$M!{P${2hC_`HHo-!CCZ<8u=}PvWx^pRMzv&Bi>-SgK6GXCXfK;jmV68divKGKg?8^`qPKOk%1G4?Tz>|+Pzl@H0n@JZseG!n2_x;!zm9v^IT>>(LncjDM{M z1<-7+Io~NU2lel1cye;lHs$?jtvBD9VqE*Ll$55!=K!K^x)yxn0UW%h)LjyM;{^%$ zf`_kZ^wMLFQ{SY89?Y)*pmFjZ@r?OBc`AHxz%V@~fU-O&x6jQTnZN zJ)-Gf8J9^#^j*lK;;CJ7OXTxjhZPA;m=7Av0>+E#&ZqyRR8=s4g7;|+*wG6q(KBGa zRC7GvH((T$CMnv8y`o>TzXbo#9ZS8(P(Ap)r51~0fw9d$X;n7`R&`X8qCEaAlb1@Nj`;_RLN%~~v zFGxRV{Cx*Wayfe(C?3p!+o!3Lzg312`5kSFu&5puttTn;et3Mx4L8E*+l>t9ltZmm z_!0aOHZcS^9k0~D2t$DwpY0{UH2{DSz{HY=X)#!LHp-oSf|Q%jazDZ0C*D;SfX!)41ZuddtfQ_nMaOk{UyIGv^TeaTwsxrUr?qW z@RnTAa03m13SX;5H13n#jPtR&vv5APpXX!nxP^s$MxHTM@NF_C%lAI9mnaWi13-Op zA?(D4yN$7uq<+;Hr{kAL9*wH?;z<5+nsxvX&T+Dk!Yj%Js7`TRm4~%hl+`eG6%Xe% z{br!_j}T)5xUuhNd?b8@F|;PwZ2dCcL6{s*4sz8lVCjpKKs#=N4Ro0byOMaW*P~_A9W#0b@MlpVQde-1vx!CLaZGIy>Tu!buP9aQiQI*)b6xUsXb`~^@U!|dHaeOGwKcLvy zj|cLQNq)HvBjK0R_z=H5a%zpkr9}me>j`MA5tz+J*yVA)j4#(Q#gHeD^9r9k|!R$|Z%|)QF_3%pulbh&JSj^;MhI{hr zprXo*{Q^S_O;g9+Y?hnjqKSyxwc+sXvXzO-bjWl1C11;r**F zwc9nQ@hh2J;s{l44`FV(IgK?=tcurJh;<$c8=GSB&gQSarqJoHo?V!4c)`+W$%O-t z-*`g>p?cgXl2R_zvv&GI^hzc_CErD%Av=v@<2f)2aFFYa=P*DgO>0?ZLRRE5=$2)1 zv<4nfnE2YY90r`lO!esdy(L8r<9zyI&iAarq@Mg3eTu!!V8wS;Rue|q+pNoU6_Flw zA~nut#X`?BO!F=oEH`I<1>F%Oc5lLX$@v$k?qJI{do!$9#eu-HK!MY|E9gK#LmbcA z?8|GdR`+-xP1-TXB zD2!jD9G(H%m+wXh7;p}_J&twO4sxTsM2yEPjFrH6{LwJ}USZ5qXS~3Ov%>_8*Y9BO zfM4Y;=6AfN9iK@}ap>86Jd=*7Y{PgSHR3%s4~`lWFwWXh%R1I1;0h>QSfahh*CZj5 zlTkIBjxv4TQvODZX*<8SWMwUEQ3L9A_+mH;)k@@IcffAkE0*XqDjkk-h%acQ`YKsY zWPw??qyZTCrxvss@I$UlR6*>pzO2DYrBBF$IcQH$yC*#LVbi4ZK0K^}pO4~*Q5l#n z<&w4-vB*S=T(3UCre8#7b(xsbQy+yfC%S|ul2^vF(p6MwNj)QG=|ih5|1YW_NnzhY^F`D?$G){ptx`HTJ|ooapKlE--f zs>F%{Oa0&)_G4TecuV=?2ue?*E+5q4iZ<;2*iat93LkHSvvW)^X~>p$SY@5nM}e@R zW;<4?NM)+LN}BehiekS3iYdmuX4D{wk{-RCQK40AyBzs~QXoVnTz7fPtQlQ3_^aUx zw}5Abkb1V(fsuq*I_o$JoT`I?({KdY53dAl#W5m$FX}#6B~&sc@CDB-=Vjn%k=y1A zF{^%8iQMJNCJZ;wGxKrzJdOVTX=Z>6+wJGU4iYe)>8I*FrsO=9Nr+^UVV!% zXe_q)HP1*>;ACkv{1=?*gMm8A@P)Hry^zyI?s*&vxR3=vuDpZ=Y^CMUS3YGJ!oFj?T912z>k4u7aB&mXGY z9=-|JiRNX}qX(M3-#)y)4aJ_n;t&PBtQHHE%|>%SlE8A}^0@xxv6meP4H=FLVQ`yj^99$! z{_p0j#@~tIrJ(159+{+qeM;nd&ej3mJKtl!E(2c)NqYUj!OttVI~c3?aQ<()AjqJ@pr| zn~la@IMb*9w^PLQD%QRrX@s(9hYjM7ID3O})J9T8es;>{*w0+tJ;Jb;|| zdPIFai7!@Yh5Grd`fB4BNC|^OBVb`jvD-|_zC_;3bm~nUb}m#O;1IP*MjtE_Y_qsT zlI$(-pfgK^q5^nu23NX`*UUF!+KRYrp%}^nxGBd}u%wN~ztq!FpU}-fC`hE3^Y~vP z;f8{eRh1x07^VRB5xlb6Blo><3rnvBRH{x`+yk4A-)J~EqRYH(6J%`{o)uihu1={N zh}RS9z@|1D8;)m9HX6I(xEV4|093fqxEIqAH@#NLYzQ1fo7;3hZYAkbBlE_W)I4D= zVGwL3Q}JxrlN5Xf%a*!+;2G>jn4QoVNG#km{d&j-l%Yf8^0n&kacxzb)dMkN`e+dU zj)3Hee29>`}_GCnyL+yvK|ccF;4VP5wcC=wfop9x|2Z1CGk=$O<<(groXX*PQ4e-5my;n(;B4XFi_ zU_4oIq(T9Q! zqpMN^_oH}j+R-aE7QcO76TrAmZo#*JqVsb1?}ujq;d#B+`@mqW4ei0-o(rIz66%*F z*f{o}yv3t)ngGW(U`Ho79_1wBwBdX~(}J8$_u(y?pu#f#vhF1 zM=N0ClbsL~)<#3!LWqcHzl-kWY}(LHWiJ@47ne7i~%Z%Ge7tiIP~WnnhKH}Tl~RAKYN6%ciSr(|4yprk||Wvg?P$jj$yLam>GMNp<`N?jhXsA(QI z`igYnomPp2Ko*aV?}yDP!s!vyC+aKN0>8YGRrF2V9!r0oq~z7V93jCq_ZD&BYM1+ki;*)1S)X{Ul81 z*)=^q(KNMD(>N9t?CnZ&$k;tU&@ZMd$W@q1HH_wRwwD#H_v;^&LmIjbGaCCBSQl&h zO0E+teAT7c&2G`NS}kkclIdyr0b9%Z1p`VEbOr_@*w3fL+h|_|79*b)9M_Rj2SXTJ z2bNI~wL7z1za$f71fJ%YIm%krHx48Zg4c^L=&hkcNv*7wzZzD27Z;Z6oQGZIv)XIR zbibntS?XLKXlDE3U*P8G)kx)xx~l>OVs>qr*B>!t8>^!iqm^VUh*%A~;%T-mdu z6ym2N3w|QtX@#t&1183P3SR=RDl@H%c?g8u_GwKl0Bs1FQ?<#Q!shR6`E70rfQRk( z>rM6is@`xR1kK6#OoB*YCKj!~2tU~0Ikbm%_{7mT%-%(~{pLt{nZhQ7wWeC2q*5n# zA!#3K_=7UnrMcyGK3*h&a-8)AODyKU+DxCN{+w7P|;Y~B74 zFsN7s0Buz7J45CU=M`##j7fi{Gxc_g<;&Iu$qleFr$pD9>zXMaCf@G`ReI0@$e$SO z{aQ7oj}Lgmst{xOYW`y6*7W~qv-a2O{ytUMc~qi4CXdcCFm9XXaNKZZ?WX2@QnJ{G z(}SsfI*0YWd9aWXK@n61=KPL;#BV+8*>LmUjFS8FVG%Df9&!`c$QYUt3bD&P-Y;%ZS{A^cY@8M*ZGY zkkfP<8?#o35SRYV8fQyU%oV-biz5^@RSVu%_5Sz(-%A?>w_FMi3p(CZm{e$H*QXp) z1*$p;dY1v%xxf`$rOk+9PlvXka|Lx2VklxIE>^0;W{{y)k!jSBX~0(m#)sPls^u%< z0vsrjbA=lfjNW?eDNBRn7N=oAK3voX|F_b1S1#*vp5?To*t4F5@f@c*rrMNu&C$Y0 zjoOOpUv16_OcT)1wmKg&{04%CqiGAe83^A(Pi;g-cs|C~=S-wv&)J=%e&zD0XhlzEB_Aa3@^AL zD0ZXK`64*DcniXc)NMSEpHxM(^w^tsP#A?WrJ3)9-ymx9jaK_ksS(^*5pWXe{@^#|QNV z<*XdyFA8TpnV=u_Rl^WFtCPBbeIA(B-zt)kE&I zYUJyAb3$mylkyYLJ*z_eqEmo@_ib+5czyjhM_)@V}y>Ydo zR(Ywg&-XX??j~X3Da!Nsk?g&5=jF_qGiS~@bLI@}wThY)pm0K zVuz_oVw={A(wE@}G`G%vlxocWPA8|G=-7gh^x1^PDR#IVgEv`&H(gucv+0B3fMR}W z*-1>KT6cf29j<-W=rW@VN~YY|;Ikk0A^)+wY_PuvcXS3cQ2BLV>wnoW)-JtF;z6SQ zNnr@b9x7=wzmJ-jhc)pVN^;omQ0%?gqzm7ZK|C;mZUXoy?xYE*=Y*IXi|+%k6Sy%m z;JfklPilPcylUnv_9TaKzRQPFb0uMCD1zD~OA{4iXaAHRc-KFW{Wzt;C&R z^GP|uroy3ONKeUqx?W;bs!D{Ob-@GXhM53gpADw;r;W7Q_P@8xr7)jRGvH|u$Ow{sPEci8*4LS9V$Iwnn zpUk1&9fm%2$Jn?wt~(pQQsgP4=L;gy4QN`Wd^5peHkmu;oH4S7P`H%E<<*9<+P&(9 zugJwc<8v8$U59IdJs%OdI8b@kqM2SjmISKSH~OgLr2yd?p~;aRl!(5` zl?v;bj?g)0m1YZ<09?89S%g@~lQ=S*=54rH0W))!WUs8Tf-(rNF~?>&{aLkU#xP{r zilBERB`br)v%UgRz=%$7zvcYK8lJ1gZ`yA;r%}-gydrE)1~6ziYns=ffrbiyw?n|BbRVwsdb9gM2MsZmG<+P0*58ubs2+Zv7`b=Dl$R|1Y)Y=C>TOe$cTYmi zeB9FvaSGqzp5F00g_O~Fdr|Rbx8ipb+|qpdv90)b$?QbI|CqV(4pncavQ_-!ZmOyr zb!ID-yleQd@+l^C={tu1if?Q+G*wI*+w-f&^~iGK$Kbn&FK;o1GI6~{TN<+GZ#h&p zFm^hktBQ24YEG#^8~Xs$8XIZkHQ&i+l}z>0cMgwh=_QZRNZj+LMxV%!wNVP#w()Nb z)p6hJ*kiZg>c;z<0!V|fhIeXQ>443b6E9>~e5GfVfc<|emkY#r%mlnbguo==`A_uc ziohs~ITz(=fbt<6Pl;$oC%dOpW>+{TRE@BWNYqAlmt{&~_BBree8W4hGPHErzvv1= zh@oiUdLJC-|7a4Gyf*blK1qBQBYmBLpg(84WrpQ7o?e)GjKFh5>G30SDG1kcjMXE+ zDoC5V(m|DQi`+f_+a#M3k|g|a)NvarAg+2*Zh|(?c-uEulb?38d0RF0Nb*A# zoCrzTY+4sVFiPW?BIJ?GASk7Ki`AD>-?$B?H6GRpELusoBpA+kZR)A~eV>NUoH~$? z%-6wRNsLsx^i!8qZZ%8ER??48l#$~U(mv(w6qEjM-ri2X>FI=Er|1IChIh2)cZjG# zqESYt)FYE(h4=@uDSJKc{zo;YSjG_X4W(QIP!9ATqsvYY=KQD{z1h{acd`XBQp46u zBlk5c29|~&Qol^R;N_|3VnEU4ib@#*v8c28L9JWThz8Z+8%nnJsfW=D+R!+%5J)yx z^3E!vvXKu>j&JYs?+tQp_s#t+J?gWbSa*t;5SMmI=AT9bS`R;_gtPXpcZIQFRo;$9 zSMfHB@kcb6UW~aHblm1C#N1#lK3;1v>QF;5dor9Pj`l3PR>s1+-8b)M7G4UzJM~a{ z_!?c9SeHP0H4>d;s~8yU995^WNXVkJBWMLd`2}V$iY0ZUpJC_HAW2&#s);kV%=~i3 zr^o)_+}_HCMMjvyGW~JVSLmqks63p7gETz@^(zU5Zs3t+|+10gM2-X!IWq>RQ(OG^Noat z`z6O9@H)PMz3Kq-U}jWZ_f8G7?~FaZxda;G>9S!%smH8Gb*3bb;zsncQ-6>Ts7a9d z=Kk1}NXz$q=;P)uLLUe{T7-?KQh(O!0@-$;rzeu4 zMj;?0eHeQc1`LJAivOZyHr*lW85;KWMMOO-uJM&#yo5hjEH+oP^pJ{qVt-dRRL^-| zLXIQDi#X84e67zLIeroto{SJVovqzT#cc1|eq{FnZ0_pn@w$5yCw`Mr)>1M($>Zkp z=V~Lt-{1s^KkdgvTn6g=6YphY^l)sEGel6aUWZ-eyuuIkdhV2+EGj2Y@1mmWrThs# z=*aswRWK$EXV)Rlo&K>Dusa|}m9TQPc<~T8yA+^KUwg~&#&bkoW+^0h$1Qn{10@Ci zr~69E=t*aaC$=$Yl66@1CO)DSuv>0BkeLL2^e}H$zgYv6dz0p)d$(17K`BXNUsSp( z@ZSD9-D3GRFO7QPW?!239`AnOW#XOM4~6VHu-#H{Pj?Gw=jn`>rwk+SphhDAm3G)? z4VAQ&KWKuJVAMQTs`2NJB*8w?d>y|dA@k9oQsr^Lm>4*_oLn6O1c|9s$D_~9QjxdL zRE6Wc33j$%US8`p10fm4ox8!LjbFamaNS-A6LxmE0?u}=A`X72c(oe*MBl;M_-(w6 zeTJ&I@OV7DQHg^a&aMYr_23gRI~+T!l)ZUk=s$y<$7tQ?rNq)NL#Kd@8Fl_b3jBp) zBzCuf8j0OI_zhZ5x{+EREwRn}LnT}JCAXn6#P)ig$CgayZ)?eH=Tmcu)?$T$U2J|G zeuQVXA$G1;ch@u7o6E~C;wDVO-xwbai7^S*6L|+kIylkKZsT3Yh?ZzOkgEZ}2}7)fW?F{aMI zfI1cmIUh3LojsyC@3#S_tF;@I-kJ2xX3{(U987%qa}@jI4JFRS51RFwlw$g5?>%#q zr@DLilR5E^z4sL;jcIw>V(f-wNzM04(iiE9jp&S0u7ha#v6*y6olWy;c9ez?b&6fo z>oj9)d^f%=)&F1V_$AKW8JI)!Z^~68hoS^RnJ?P zoGir-K0#LC9M$lkfZ|p!{WcB(Sc0Lk0ukI6#mzLVjHI-o1|y%m>geyF7D0=%$>!b= zttcJ(vx-05!@{cK>7S4xLGzYL+h0bco+~i$6=u$!@66fsY;|U#=BzVUA9d&IL+)Jt zMQW~ou~}*ew8xZ~TCeanD!v3eqFiPtKLuH^b%{g3mVotk<#m|w8bn92$t+vb@kp9f z)SG7Gjnnp`SrJX)XD>S>I%xN1SZQy0F>GC5Ez5r3bmryhomy|!i>P`}UnUj7=wujw zgij*U)gsb1tyj*Lis*A%ZeyNEvkh99*q*qUq@R~-45@wW>D3G`q`A)iBd1y%ry&N~ zIKPN?+FXB*W65SLGibWweUO2*%^@WBcO2_j+6coH*KmvpV$f%k^%0k1%x}<|1x+M< zEmt6G$S91`wt9Ni^;ilIA;Iucabz4h_{+6`;>3&9b2#xm=GO_TE!J%$kb0R!9@LlU zs>%L|{s~w=upgTHwt~@R_ppykVZ0T#G^Q`>;*iA8*&GV8R}jMw#y;hD%CiGj$UzAm zw9wwEiPgg0Zc)aJ$7$o^Z9Q$=t~QXp%MD!SW|1cZCfAF&O%nhG zBY2NTqS2S!^C4SMh)fqOqkG&OUH+hu(lE-3{+5Tz=(GIAz!TlbFIR5pCmgqQyD)vd z4LIy`|HAe{+s%Y+?&2dYb3{j_atv}E1jP%-kTq;|+P;k3Nt0X4LhATQ%#G)R-{(a{ zsbYL~)|}Jc_yc3kHgRVmRL@4&Dmpq6ID8UYD2HRtnlU80!`sAmPXETkA+b3-AZ8gE z$Isa;-VraH{K{@l!xVl+2%OWd<5;y;b4U3SkNB4O=p*+dYiYGK9$NvL^;pj(xC6;Q zdq+RteI3z`et~m1nKX2bfA&ri2tnA7czEB%2ZyLFIN4CU#b#TrvjtL{vzAtOZP`r- zp5~54v{M`LPrA@;Gf0SJPA4_5)rX*SU`%Pn_Njo;>%3UVSUDY6t9|(Er&KG~>BLz< z*}@N5J3~0|S|8O`{nNKFt^onJ`G%WZo2I|fk+JtfLUZTyJ#2Y4Y8(5qP$YNu@XD;l znowjMS5r;I%(>3((?|=4Xz~oiblAi;n`hR5kyYWZ6e}LpT*;@=;rH+%l2rdNl_#VqUlObxzpS?4?p~Sg3!(I#{Nts|-$VGF^9XC#?YsO^+ zPbS8QJ09U2Zr1+gZ#2mknwf&MH8c8jYMRV5(`24IP3Ae%#QcOAPiLB3!NEuS$cNl% zGA}(%OetrYn5x6^dFFs%yzp3+_}3rzE|D}P_6FNuwb8fmE+(Glbe&v>CW#|W24(Uk zpDv=b+9l*vGjE2qJSQb)hS}>sck%Od6q=}KXJ}mT`nGX_vW{TUi$G{!qzRVd?+%&Ha-oDqd53ZOGTeA;iKFfSp1cJ}`!ozY8z>@~A83?5O?fANEE> z=l)UmPfnoXf4O%F2X%lxQKqVYOyy#u9=N|xD|^HJ2l3;c6Puk#(I^Xe@~j>gN^IqoF)#M@=4pX* zK=ft2IqZ`S0Czhn>+Mkj0D{F-NqgexDI1Gf&$thXQQorjnMeNb4!^Z#`+GHU&tQN1 z4xE$Q+U?^4Ic+>#*Oq@+R#sWp(%Ag@^S5{BJjd$ZzRPQMkRxX!8Ln>|p3}jfKv`En zrz%t_{7fkQ*iU90?ERta^H!7#;SW6fPdp^r*kLi6>pW< z>HtTHkNlN@cEulO`^P01^ey-D$|CKg;z@sLF#h0t`Dx5~UzbbDNuF_hwACHQmU5UB z2Oy!ZVEkb*HDgvu^ILOl7WdcG`Bq;ur|E>nGmR_+9l?F=@dhAgaD~M{MOQOjNq3B@CzdCpKOBIzeJQcK&1Un`G1g+-vKW` zXlr2GW0pq2HlOI6soDC)2XvI$%FbwOAIL)l^Y+CO_eCi=_+s)njYlrj7`6q%$f;4 zYphlFFmnvGXSlx@r}>0kF#FGlDt%G3Uz9$s{7o78)5GlnyuX;GQQ(!WvhU_xUhfhA zV&IKcbH0q`_6uH-^1p%j(6>8j@bUp~tC*pgDZB1H7}%Dw6=vU*(bj%po1y$8GxDcl zD*(2FG;9+O3br9?>t&>YzIfO#Y+KorvLDFEpN6dn*n;l*#vSiy&R>2^XREEMjJEa* zTR`~_&B*V-7LG)_P#=QvbJsj;)U+uqg%?=OozsnaB%V`nP|$87qKh40e88BzTlufd z$e)IGm4UYK=d4YJ2nFlnhduDnpB@ZS%hc>U2ptDF;2*+$?8h?lJ7D5UaOc&mvuN!P z4ia(;A7v3T;Nm*K{b1wotVRu%2*1((8=hldo)~Tt9H(c%v0q|1Tlx1O7WD0>12-)5 z&Qb@z&%^o+zz&f42LThI*3fM&nYAF2GWBWCpNtph#QsLc+29Fc<2{`Ag+0q+rZ#q1k1n%ggU z)0F?bjQnZvUUR?;z`qR&?Mn{|yaF}10STcmHuekNX13Gp`!e$PjD58OUjsb3*APGa zj3#8_v3weLb+3oUXan~ehK9=<^O6% z{vIIZc>qSgmI6{#(DY=A3Q7+O*mu}Jvww}KaDW*7gYy33#nP`H6x^@92pm5}a5+HaE>`~UW#o6@c2!8j=8Ex!i zz`cthV6btGN}QTeqBm4{RU8~tgVaVBQo#QlPVdK1AW&^!lf%9{qeO40xGDYMpqi#O z&dg|IU$_c5P*ti#Rz?X2swY@58M$>_OPXUJ^A2GRmaqE%Vn{b~JkGX|EdDq0;!q^W z`>{%l&nS^Xo}fDDAw5TJe9EH#zoB}A(Fdx}W$j;?QKC0g2R)>}RU21jw6U)t{e}b8 zwJLF1MhSOF`}Z2spb0LOHuQbLi8)a1JcGdTzwz})!&M8P-AIW$GfFs+1+BO&{Mt3x z+9HiaE~=eqj$vKd%eB|+|AejA6rFUd7$Wg^8`8T!lT}IV zrfos%N7bR&t#)lJvb8pL{bu$NYGXHTtc~5;73PLXzwhLmmf}S6v9-&(Q!Y#F%)h{o z;$2nSUsb3uPWlJgDPqeyfH>*y7jfM&`$ag6EchC;1$#kM_5wo6XeT9zO1@f*xqixF z(92fIS1;4K#NoXCj5qfC*?6{BlGckue!;z+IUA^UIC9GW90*S2&~T0N=VjzilP&OP zH;zNIwRz&?WK-C5!7p9n7+FN_A)R{eWz})yjvVy~Py76zyPwW;KW(w?X5}4A!|Z(x z_y@aNPZ_Qfd#EH==#3Bi?y}v<8tZN6nBhdWzGOuAo&03UB1Von&wcoB+_llU+BWVt zCpVYOCOsJcGZdZ`F8eGTKew0~=AaAkDJX0&^fZ2_)a<)sdHFdGj=jY_ZRgE zzoC4OtR*_K(>2wL^U-BpyzZPj;AxuAO4REcFNoS%iHkLcQ-=dc4f%P*vL00=Px&Xw zV`D;%smrOSjVwDTirpeBQS>y%7pX~(Q`8R77Rq_n8a}^oLe=p3zUH$W>Z#clynfT< zFeDQU=3HEE8XWI7h(nLD=CCJPVMZhk!3f;fJK5lQ0H%&7N2feFPz<870U4K)a^vI? zjEyZRej*F>*}uFEz{;Fb7n!91B25+DJM&~Re|hr!=d+O8FOf?QkUW2<{6EOZ?{bMg zsEiGtPiQOSqxB5OIpw6~VMknn+p6)-a!5sPt|BE!ZTn-p*)D&yWU*d#aLxSwwxo++ z^gdjTZo<8L7Ee!;lJ(Sl{-o*2cs+BVbpXSmp@gIcRIT+jpF?)Sc|goG!JKa#1?{mx z{#-D!J{$>`PD))jmeU1-Uvj)`3ZI2pUud48wsB= ziMrC&jH&2du)J5L7itBNJ5Nyi=1yhbqp~kQcqgu7Ft#F<9N^$}uOTJsRI2Aer()~%&HW|rw$A-Rva$mS3Y(d&F`Zno6WDoMYJLQ z1y`@I03DD4=)Ts~4-gDscZaFOi-6h}6{)VZmP{5zEMLdZ;&;xft-SU)Dc~Q$zBZ)7 z>a_I->D8%PDRJ-V4`|??ESb!!BK4TvMsJaXABDcwh{nCydgYn@dG81ANLM)LC}qd- z#;5N|Tq08qPuYnvfV@(<=Cm(4f<`!RtOH{9$}9z-ZW!=1FIhxvg^w#&+)^(4e!d#_ z1ELtzaI)Pg6ppZ*c`q{gIAd{v6@Iq(i6rIiOPbUpM}%N-1pk-tPI$Tt)ZQ|0Z`AH% zFmSj8;;8bE&dBc!1(41{sulHDJ3ua(*#qPkcbzyvjlDkifPs6bll*_m$nOBBHFA-$ z5r9vd`A8rNEbVhp0p20|9b1eKw6@f-)KHyNbP6H|CfyXJ&?-T7!sYZF%ze` z2LLUYG`3&h zYL&krBfkS&&}uC)ixCT0{d90PXO&i~^a56W$;FpmhErzAeEjg2PS1z;cVkoymThH0 z^L;Pnq*d=j7+NNmD&pU4!=IawPR+}Cvtsg2weI{af8+i`i5<7#wkd6zG% zhu+pfx6Yk&0Au9+8qy5QM?fVG%_!j@qPNevuk{-FX2lENW9^p$GwM0TvEy)));abi zU4kpNvq2ew_REI01>+pqQUrAz(Jb%Zlp}V2((*pSQ|$Z!Tm$nbp5~v=S(0>*zo5dm zs2%vn%szk~J6=m;mH(KG{HcL=zv))sfb1~yR$Zb5w^O88i@(${q=rOahup7lgjIQ|FSj$;dVV^p6--EhU8O@;n zgC}QDH}iB*gSs4n%$|xkb%3~-rTn8Z^6zI*xlN}2fJgL8NN~GRpX{YbF9!&HyYkP^ z$nQdr@41<&jD`I`15@owPnB!bPH{#%`{a?Lu#=U48?sH`emHQ2HEhagoJd2+bGCY}z83;d0}JbN*X63KW$e*HD z?~C^s6rG8rAB@MVL9%}ZOLUf9_ajzg@8P6N*<@8ZltVfvZC!@=@X(bHCpHj;* z0~UY$=b>wK{*UXp2bv3$e0#VsiNgqmQ&XjD@j-pKcVWTNt1t_h?5};whX@GcoQlAq zIwJa7{vhT%09*;(^f*8aPBmgc9Mij%J|HgItA1)QS~UAOh|SK_AJn__UNG(rU-xjp zh$eGLI$Aj(`)(gK+hx*d-{2N8bpCQ`1 zbo?QYDLO85vZv|z3Nk~-Sy*SG+ez(h@Rj4L9g{05FvpBA9KKC0W z8uQB+w1rha4)XuocmRWyTL1c~#F~r}eb=EcZj^icF{+)CQSCmKl@@2V7T&B9)fpuY z7Le0bZ8uB%|7620&R`a9`x_-5&nR)QfZVTY>ocm|7e>tPS-kLjDsg&733n!8^foIi z7e1Jk76YGFST^6JxygDN`98mMR!PIVYT^}FruNy)c}VxXF8BL1o?`v9*Djg8dyQc@ zC!txT&#<-G3F=B5$1ck&0gDrTg&R;r+!L>k6=|&+OP_CZ&J;#DRM!3aO7~s~v$@9~ zVzF?pP-k(8i%M)(!jMj4LuWPzGl}cjUV^=He!a9ZbB+)ZXu58%;o>IFsj+d@^j%D( zzJ;fd!%x6dfv$6@@zxTp`@!pyGC_xOcGaTcn!|39tEhh1>R;_n+Q-wkTC4RR##A3K zyq!+KR6~T*lcZ($rw=B)DMwh_JzRjII8dqMk5wCId4{fGr-efxW!V2^za)|uX23u; zX8=$423VkP8L$kvvKqY3!7uCM9uT{Oku;QP*sl9P&?+)=D2FrGp`7;s^%y`6My{M> zPvJI$6u1V?<~>;$(argA*OXlND-mroq{*~ zI)qSoso-KzGz40>z@yPVi|xge7@zoE<_p&k3ZOcjavUef>vbT|>WeSA z)PD&yGtMIJ=SNSl>ShrhH^RQ}Iy-qKn>#`|FT@k#4$eiq*fz;wPOIr<=&Q9YubPX8 zoZ!;dIup;H=$*6q>I-y5cV11{{B^|A_M~gDZA++GrjdIG&%aE-*58aBX9d3ss_O}jm{C-b#eH{&Zb zogGs4>n76m_R-9gRL}~Y9A-MTI`iNx!w^~x4cK4jMKeF>x1LEwR&%L3#hdl(#Iqna zy%WfRTLjt~%7E#GKO2^>3s~(P7@HNs;!r1q1&m(NE7sZ7+*e>`ORxA4u0O|YNz0b^ z&);?pjLjwWq(pBnAQj8vWxRx9*Xt10`G_QP;;`*sKc$;8+o;(eugkVaB$7!p+2vPI zd3}Me^%ApAJZiRqMc@xo%hR(NzFzY&Xx+p3V0Q-sBr+ z(h0F+qCwmr5e~kru`u!{^&L;bJpV4wOh4_vm$L%BHAw2Ww#fcFmu9{h6dcll5o17_iW=!hR zHa-OO_h3e- z{g1#f11X{}#`gaxDpZNp%TQl-I@b@D0FQ~=bqH2d_RJ#u}dXK?Rh|wIb5;++qQh>A?UL%?K!mGg3 zoK<2*sSOdAKh?t^;7^BLkmgTWq~LE>Bo3t2C}@3*yBV-ynuwiUKzFTs`4af7O{ zJ`Gfs`C7-JxdmB+rmH$Q(tLhp4I5{EpDd~7wpFQIEk_-^zp2_lR5 zE^pIIo?h||AFA+Oz9#*>$S|ntbS}P`OhJ=gM^u(s<5=>CAyy3CB;vzoAv!J>xKii! zX`R@yX9Rcn=K09QtGuY%ee)!WIJdF}qiy3jMBVg4?=6|e!B3C@oXaaUXB?FRGZ^Pi%p2%(BWi7kG zYcR8ST^K~OM)b=9KC573kG#2;eXG~BYx-h)I5`i1krme*!0c~!qMyYJSN)D6Rz{K3 zylcRKDDi7`DB8(wePzA{-*Q5bJESdtF44R=mga(_Rm~4wVyO8dnMU&`$SP#!le2Wn zhbU;WJycR>K0jJATfbl2Op!16*Ij)8UG_dK@h4um>3&Mwn^7XwTtc;ppUZlC#2 zxDPTh!l!X}E7wX5@41JH#B+o*S>Pv|-zQ51OE~_QB^0QMH|2;034ctZVL!AS7F6xL zpZfssh6R-?K^~cZW8EaB)!|a447$nqXtGggoVLY>P#}r<(2A_&WoHz-o-fM1NAm0Vl%&Ck+Iq z<7Sg0^riUUC1m5(<$ve%)|>wwmcjpwmCx|MJ@z$QQJy3C7#Du)FAfXLVr0`|W~V)A zyhiUg9$F5@kNqsZJNXo2!?SKCiOwkb925D|Bt&-~+BgCz(Bp`c*FO-i*`6pcI$f?` zu6J1t{ryYTGRMnTx;~7n3~@VL*G`UuRl@)CznWsihPM)MQDZ>d;uLrNKH8eYU7uBv z!WxSZ=kk7{6QlTM|Bd7xE~fsZ*y}dhck#Cu|8lM^388RDcOT|kaDuUzUQ%r=O3_`} zP4#EWM#03c#eJMnzAfwAq& zGtiD-)90D>2f$654OpNlsv@H^ilo>{14a|9HgHj~P*2ElunZXQ%4Rm-aE)~)r16o} zToq5%Bo;3<^Bvx4=07~u;h_$H5YN@*cY7<0R4V(p8Disx-<wgN7 z-Yb7^cxsbM)MS)MA)(dCLE@=*TmnQ$ZvfWAQ-jv3SY19YEz$QU=^kFL=q)Cs>(+2= z`sV60iGW?YDJFU%ZbFsg{s2k+1S*~~!m(wzrmkRog^X7Af4G>G5jt11 zkwXB4(0YgFqbp zabeh6Acym12r^kuOy-a8I4U27@RlFwR}ObP!*j^gqLeiTV~j%Vub$dJY3lLoR;Z52 zgnL2Y7?s=fOmu~*zG*}Xs&BeINf{EHo}A+JWQ-=c(~}`Wq|^!t;f(G|5M^05=QwiCI10`U9EE+jS1Hmvi==(?V33^R&e{ulK#Hd zXDR0b>1%$H7i&e@yb_H6N@f#l!}bpYanDiz+lI7Pl(AlxmGb+HWuSKdUlBnJdKlxuXv#sC8;UE6L4?gEE7EFMCM0W}MDp+KkB;i*_9Mj2Girk5OPsHLU7@O1&ESOZmUhdk0XZghVasz6Cq^3qDq8KKte-cuP~-7G46@ zf;6f5t)2eu-L54s70|BBSn}HaR+nSRE8FQB^0t4N^Kx$+-hSfQE&m1VYwblE?YSak z2x>a|Xv%)KgfGz*F92M!@!ZtnWpHEs%7!T`x&gZ9nR-lurSo%H)K2A%1uY+?;cGn3 zKcAyUX=CR+ZiHsDFL6k9GY6I)q?=+!&vCM*+PC86*xfh4!O~cWna>L(7CQWVg;=~o zrOlODta7d!ZgTEM-U3h|KiDGOaFg%aIeg0nzv)*hL6k{PKz^HiknRObFG~O=!y-cO@e`DK$LphgiLaPOH^R(+_ ztp|qUiQTuq+k4BZTDJ#8-zUIt8y$u({CW}-6Yan8i0CqjzTEw)Vdau_;;lU3I_ZMU=slG>JkHJ-_6+_i{7nbRJ~XH9#kRvp+X z)9q0`W&C)3d_UCz3q|9GlF3idv|<0{+DIr4Shwc+lby*nYpuVkGvKS;VK)a5?ml2+ z#d>DhHDosXC++OswOj{%XfLVS`m{EZB*V_$>xJ3C30d4vK?Oh(iUmGp8|K3x2S}oO za%a2|jL_uZpF!#>;&FKf{Uhvw;XMxJ)5?g$& zf1*gx`jGWCWbIy|Wvges@`WQgwd_1`!=eGkzBfYVXeUzO`o^ub+?aes&s3dZ%S;Ef=cGE#v^BVECOj}`M;f*4rLHaC|CsvJ-kC_eSj z4@?|R#;n1o4!%250MDj5;17Sm9rAFIpk(9Sxidb{#?*Kc*o3Ut*4bonM8X?0P(7oX z8c@S@&72zgnW0WdS35-2v4=I6D<2j!X!uqzzU*x@9Es6G+ftzy8%u+gQSpt2<0_-F zyg2t1pA4T7THZtiwYGKpG~T9MFuq)sP@M5A4{m>sAa=gy_k^|holDJ+r405_ctVI& z{^oqrrUD07%%{(#a&$8r_D(y=yJ+w99nsG;7KCywr2>S(vr zCS4qj{y^8G%Y|F!+SR)Hk;&OG=!s!M6O}LjA=$X#Z~|Mh;y0;{d3O_LXj|u;`H;F% zH)C_|;gJh~7dt->IzO|`kAHHn_~UHLE1qWI?%Tl-0l@Enc8^X6^-o3@LH%mT6`7s= z9cxZ808-?MYT(p5!(O=F&Rhx>u zFI2dej277;tU0ZM(c0-f8}g3sDDcg*(T4$W_$)-Pd#u*mx}p@wS(|(l>%#dMVlXMx z@nd&;tn>Hqs5U3ifd%?{G9st$@=>p^B0<1^k6(H=F>xk| z@3G91_KAKT^A-Z44tk_Krw*M15f~g|svdQ*IeC6(#c;PTr@*tJy=xZ@T z!CkkgriId}oI_lR^VPyn94{A>?zZsHNv7$@ymSHg!y5D9r^cOwh2!>LYYX(gHq9qB z5-MBQOCLd>&j}@0j+h_#N>chfewA>!`%b0HO&9C%T)pTu{x}Yvu-IxI3tvQFF*W&@ zWK6bd56Rc|9J)s1MY)JasztAC+qiMd{@xZ@qA!mY#av9 z-bev1-L+rjtF?nQrdb>N(H)2Qnjba~1G(^v2h&hD)>j6{+Dsw)H*SgPS4MXan5G8r zxMg?JYW>5b^IS&tlz4K&`_uq_g4UgC3Wgrt-M{fHyYV8aEjE(Xz@_W>-u-XBMw6bV znrL!h)4*slZYvi|?93eJuUVg~qs!b*Z)rF*H7BYyBknL%rx{@%ejyAeB9hBrD)KQ+)2hkG!F5FN z`k?h`@Vd|D^Oei&Cvl9%g_QD3H>ix8-4aSQxv-((i3U!F{qaZQiiHKI^<&{+%?F(g zP{xL&ee*gY{4xzbH#2I?tR0Et86Z;$TUd2=|J7!2k9R&Z8at*Hx}ogO1e+CBxc{W+ z&Riyo2B!Nl0k|`}k;^2xg2o%anN2Vw**lFcE8@HT=b99GH6CI}Yc{E|(%5uQ&k*KD zmrHo^Fp?-dkjqfU(g;tW>FB-35>E1SeN3Fqkmjde6c@q>TKgLQ3N!r5t1Ls?98VfV zyh+kzp%jC3F)V{wb027~H6kx;tqogS;6si10qc%Mlnq#OWSB@?8Qn3^*K!E>Cq;{s zHAkOuHOi{VF{;AS0X3(0;9}*^*<>EucjX)Zqnzii+cf(k_GQX8IZj9V;6&d~eb7B= zr(RT48wugwH>AWYhW_YIuWw!)?1baT{;5%yiL{TjTCMkQ?}z8)y5yUIs*V{yf{$B6 zbSY-;O5U5k)AxPWMSb6A`g^^f*;Z54G1KR-+BDP4brQ3V@IAINaTu>N4)HzKrVA!6 zSXslW;Aw7axF=AxuF-SO%7%qtXJD;g9C)NCV zrrZ|YUwhfJrWS=^?S7jf7X;zI0}q$yoj$1Z2RNvt^Wg4eZ)PjClZF;g?g*Xm44 zuWy02xuZM#`&xdh3e+!C9ntNwYO2=x7QDfO-)i@lt<(zTdc_WwSL{kv-lkGCTd)qi zdVf31aOVzR^g*Qq&0yHggz#XtoF=YK1Wb)0&i&QcuVIR6^KfJ88QxKdZa00`)WQy+ zTT2%MnvYE3oA;2Zr?sVsOC-$50sVy0MLo#jY0%L>2e@j&W*ocCTQPy4ic zjog;FtJ&(8^_cr_C%@0}?|AM{mVwuYX^+?fP#1Nh*H8^T>j`(A!rtliu)ngXisM)Fa_&>SufC{$1 zixd;CK=NMG@Rc5W)c9iClGbId(^c*tvY|rl;fiu)JA6^l8lP`ppYdH)lLL+JW zI=&70t9s|}(f!3Y4Zn2!{{__+>t#DcC#{ji_}e7As&>r!p-|Cle`m~OIncIMkG4G7 zqho>Ww$TZwRioAp$zr>%M_)swBKay@O+Q-z*((4v}a`c*J8vUup4 zAdLpWe=rurQ#=Ubf)z=LUKnb@ZqNNR4(!pJCxfw_zGh=qf_~*Qi=ua3v9EQZ1_ZLF z4y=$Xs(J0L|C}%M_BW$&#I?e2v3=-yz47m4=#BrxxtZS$*4^=0*Xz64!LF|QVR6%4 z;uO_R53CC(+xMGXfEw&Pe=fMQ`UDPzHe4u;aP-r!le>Eff1;+c z?8XnC$Pu9A{hRWZr_x_^YL}9fIKoNvG`2a3n&v9;oBu%NXoL;Z67{LJJ!l>~yp4A| zIgQE9T3}Fv6kBdrFP9YCIN)icJ)9DZTmTYAO@`kocn=DJw59CgKK*`L8f5C7GswhFvhpUdo5n0w;beZ#9+I zFfS!A7<*&y{eX~FqxqO`pc``SBEgo&t=Cm6u|{;oxc=G&@ErkIlge&@JQCf?$|k3W zoRAPguHa1NabVp?23`3X?WnG)0;&aqPo!Nfz8=(+trG>CQz+Opnx_RdU>&NQM=T0)IbEPCw_!B5)aC1zx_>*`%eD&0kQ_zamXsSS=Mpm& zgUjUyW2Of864OSaO^9^?hjWqKCrtdyCWj&-V$qx!r6_Q4F``Kzzj*5E5HcXNCLK zhvS}pEGeTg8l28QVlTXMEvC+zcd<9Vz|;JiL}G;H_1=+6OfGT~Pot%`c&3?mv2AYU z@!D9;hY8e9@A6doW8S4E`-j1J?NOn!F0(zJUT?79WpTy@`(3uN-*x{I0AX*9Qw61a zOJgXfuEH8IsikfDSul{MqZKUc6w6yjy$+P4O$&*{$(DC$I`K3&vB2^k=_Wqz&F2Xi z69NX$OwJ4U3nn|}2L`M4j}s@*_jq>J>YAfW&5wIG@}~TtqLat@H6Jh-7jp~Bu76w)FWR=9b8XXR ze(XDStvOUox|GzHCO?YHM7-u*N*+N;v)QkTZ>$pa)t)U&=%#Pz`4=S{ zMR9XhE#~K{iC6Bm{h{+GX`-E7>=JFW+3SZyk#}ARMh1sbmaf}0pBhA}R-m6qp+cm< zm7V<>Pq(}^3yf{PoMAeTM~vrZB~G)vC-o#Bmr6d;@(xHPKkm)qQTF(=Wd5C=CeQuS zr^NV+r0W#kQqQ>8HC|wOgT{0+Xv;Bx&q7j9bwQ@XFp^bu7@*2{2B-@{5zWTDc8J5_ z*L~?DaRM{vUW;;aV+Ol_g60HSy-**tzb%}yf6J5wS{;{Wxz?EQ6eRoI%8p=3TCx3R zr3RqYx!sll@t3CuqQ{@gm0yvl;6bm1Ft8#-fp)~#w-FDn!~L;vcB)pb_SVc&d!A}; zNj8j<(J>f~pE&m`{gA`8{+O#WpNAmq?`prunuWnQ*-(VoO+{xo6j6g#qu*e-mvuyLY_gM_ICDb!!?*7!4OG!_c8rMB17UZhmQ78U;2#fFPiw?{ z#cDWj8x{xDDbIXAm&nc5^;G6TlVEQF4p+iUe%iE5TO%*|ZRK6rrBoYoZ#BG+wy(_K29{M`7s z4}n(rDbo4PV#nUaR<~55vJPY43&wu0WsnU>YfH@7y((`mo&j;A-^3fMwZ7wLx6ZyB zAy=Z}pebTm(uih>p&GdEDB#5#lX?2;MX||+wV0SoP7FL)0at3}A>6a65L`lCC z;?0qM;m+V!eSwZdKlZfulJ`K347SBiQ0m_3>8&qgF|lH$imv&p)FaC(=UGucmz%`Z zPGSX#B5F~3lT_~{>5F}glQhXm(ib~dNwMW7$q1mJLlzC$hKh{;h*7YihRTzD zt+#0a9Tl6&Y{Da_?GNVa=b^8%stu4~VpNoipV^v2l4oKai|(m)I~emEW#4tW#`sry zA8q9wmpBrqgIv3b)SxvcmmMBqJVd!QjZa9e?#!(^9eaV9wT_T{LrUFD6Eyz7oEUd+ zBK6ByFrEEChuK&kSueB21B*y@Ru}Pi7P~?Dm4j!TV(#ZQ>lL1tmJodoUsn)6s$pnG4lY`&1WuXz`6)XJpykpR+i zW19!|K;PiO58L$wtY!yZ>*WCdW9YxyZ`_e<FM(L2$~W}D|oe^uM8 z!Lh(k&~uy$V6q%;a0lmAf2=C?!LJkR?VN#M>8ZiAwHSCv9BT_PfwB_>y&;ho04?|yaMY$VkTT~otgdHmL^;i`Z57D{AUgn*(6 zQ-fn=B<~*H95fVk$=@J^y)DuYB%O_q65m7=0n0Pr8V#|mY&t$rwR+YN(gmRiDcL?M z=9y1|U>p(4!0Vv{#?yulm^6x_}2K z=7Jk?K>i74517y;YzN9QlSuF*nO?}lwUOZGHC4GYt81+{M#m?_v%+Ps_pygW3Xbt7 z@w!?GUOji`cz()A*Tlxg5fMN4$2_e`&rc~o<7G3^+B|`(mzw^lCTPbrd$nu7xC-S8 zQpVh#zZXNC6jUgU>+-oS!EE=|aiu~LN6xU}f2S^NT^9^nKZ4UVo4E?(u9oG2K2WXn2uw2r7vNCOaMRA5R2z?Qemhu(gsSkM@s9;Bn|CxqDvC3%p|~IUVZpv;IRp z6|vS5nfR*OeXVm5jl(D?ZM=(blq!ga7zX=TpM}cWVJf+`@tZw{PlT-1Dql>x-pk$f zXOvZd0AKo2P0J=hdk@2E-7NWPn6x zG?2kte`S(3)>^M$7$4i}36(upTlQKo`d&`3{XH2NYU6o#7T@bS;&Zi3tdIPl zAQ|uJ1Om@`42&N3^7s-Nu}#^w?fct*^zA?U{Sx3g;Ej zk7*)8WEGEt`g{uQh58jK)W3LPe1ePm7kZ(-W@ysE{%kVBCC7mOz!9HATn_H@JsSYs zvl`=xd`LVS!m;72$p-!d!vFrhGX?>T!T!E84grnBKEL}~Zh~nU|!XIg*i_Sny47b>v7ZaGz&PB=0`9c9_sdtC+$(Jr~kEIn)`f zV6S;1@2py@i+K{#JPDVrVV;Dd-8msH*@pjL5HE-YnIh1EnIdcHe10g&Y0dF@Op*M+ z-`PW+z-G3LU4wZe^EPGHMA>hS|0sv1%YJk0P!3I+-Z`8Wd@a|zLse0WcSEHj@sxEi zhwiE^dp13X1`4F~NbRGV#+PwZlt-cAg2M8GC7Mgo|7QDI&o}tK%f)xY>#Pz)9&+CI zvX=_uFtYnV#$gWD{|!zJ*0&g}OZa1o^v3!o=|<5O+*lzmeKn0IC{xh@#}H~YYYFW`(mXpFxBLLDC++4Lv%5%R3| z#5>4a)t5Q`h+#_xeS7ywGI1Pd6j>yTP-LC`Gszh-M~=asKgh(7qB?vOuj0VR1msv2 zM;1&@;z|xEH;R&kfKqdKqVk7%zE&-ff%r8!esdQIL)f$bdw#`eZWk#Y9hp#C(o0?n zV?sh?8eDm_V>e2PJ|BjxQ58c!^T$s07$MZYyBPT7=_tlGbPYakXaj+Dv0U~TBz%pw z3U&r#b?MibXQxx}N(#FEdd;_yk&;8#w0y>X&jya|JBLlvwQwXCp|*faEL4-h2GZ>2 zDmu5Ig83i|-$pj&WQ&_FBR*#N( zJ_=Y1RaD4W`H8uoW0VWTh@=8?75<})LteDtZ=Uzw20vH z`zpBA$Y{uL$ZhQCBcd%b)k$n)w3d{VZ z`{zCH9E06vTf7hb40R!BZ8qcO3v7$-xq8+KNBXwyDEAfF@)m zLj?GqaaFC=8H|tdAR!`I+x}ztr1bN}3j}tpwV^gXA~%H0>_=wi>RROBzWfh~MbdJI zC+UfjXU2!PDj>J4XAy<{2|QTPU-(e zfy$Gcu$;Pt+b=a$Y{xe|HTFkJ{$hQ=gJ{XFe#oTd~!6D4P zR~ycDzDIK8MC|B;nyrD#Q|C7wo|LX%&U#-Q@}hUmK2Dcx}@rd zxlQ-RiAx2ny#3T0-yCDB85>wns2oFfaTA#umtbqxLlSB4kj#^?DO|( zeB(b=n&!^holde?ChsDXa=Qi7xOHJ(%uIi4vkbE+vK#DLRv_nfkaZc%VuO8*EYO?v zbO)BG=zp)CHB4XP3r(BHN)j{0kF$klO;**xR7XSNzGfHP%)l zKZYV78(W4{I^8U$1=J|;7sfsJ3LgmIG03spZ+)wBMoZSr<6`{vM~BbNnmMp0c6AGE zb!%dvKZgBcrC1T0y}_#WOK0hk7D9Wmp54C1AIqB~EB!r0n~Pe3C_W6q$c{zf zs?J%Lj)@e^u{ySIZrL>bjRxq}R~i0E*35Hg=I*Q+Lu0(uRJ}5z*nx-YJae{h4&Fm& zqFDHbMAe(BS7!bz6p?krA1j!HSem#$6j@bc0ii%y*l1+f8#qNew2jQO29UWX=9wcE z1S5bGEmA$7?zax@Ew4lv%TrST-xG{^N`h6kZ=obsaPxbsYx@>9V>c5t%B1AYWrKjV z7K9DhzPYNa;p?I_{22%d|#dSQIXuWKWoJJ`i)INHh?S?QUpvB)tNl9h}=M-U^) z>#ht!k9xXCU;S2xzibseh%K>j$>d}k2#I-?fr}M>D<>3LOEm~6v6`wEXN{F?Gl>!8 zET)hZv^*ucYo(<2QB4VF97mQkN+WBX?F0zRmCg(@-i zQfaqTfT3*ywH{uTpScDY`ZuKCm+FhtD-l#Hn~7{EvbF>)W|I>wN4xJ2Dk&#FH9CC ziD7F8>#5($yVGCg^MyBncYiE==jVKE>Q1$%>T)_D8m-MzLju-^0jrZxX|v7CcGyY1 zR^TPP;<2zOcn@Bm&1g6U&B-<4$eK{qbF;3)w0O7G&iq)z{I~)OqNTB~sma;Ka|t73 zF;y031>k`7ji>W`dq3Hy)kI?+OU6QA3s~KWzXoESg=ob3V3OJs_oXuOp7^ne=S#E# zaT!<|_B#TH&N>Xkr)4Xx`v^nixW1m%LLFHnqr=b38WZ=Nr$s;C*YYlD$(pP&5zk2$ zjsRBP+<>*I3j8*Dtngeok2BBUj?v-svV8GB3XllF2=?l-Z{bWD3PwD4Ykv8wo@toD zBzw`q6>LV=kJ~h!_db-PJu-o-PiI?!-04~zwWJ+t+7r$k~18><}(1v zgjbboaVWAM+%#?gFK{ewtBgEj`kTVxg^|3Il52>U9Io0xzo|MkU&Ze*Pc49*e8;+k zjuu!m>);&DXwUTP``*}V7j1Gurh_?<_Kybkpt@W<&BSpk-KE3}>KjG}8g4=#O)ViQ zUg*qdv9Ek*x4q2s)j-b1Pz2Gi0~P!Z&F8%H;QiugH6k;(fL0Km?+||wQCr!8s*QeM zxFePgzsc=h#f(qUT(|rapkU#JBO~mb#A@gf(rduVyREw(;lN=IM1fgVoXH#zYQ!Ik z&8o~QiIl1!&XGex*0wO7GmOuSuh*7!)w0fq$~FpLQ0!pFyy|)kz(XG{6-A8f!W+t5?#x| zlNu&b7h3|v*ScMkGFEUq>w8Pvtbdt|n!;Nt%cg*D;V=3LkcZ5ieu|2j&eJ%rMv!=( zm-8`;L7WT>)6@0`WCX)|7F4P%mE{Unh*cd3SZ`TbaM2m@yd3}b*I<>+)FBP5S9xUn zc^s^r%@;Jh1@5~4S1mw7Aai1#Ga*VW)hk@U*$q+r)$;r`9xmFGLS}X@39KqCIoW=h z3?CtL@)-f`ulhmOj5AHAtQVD_iG2d5QY-JL{;FDH2Ad@(7XE3^ilcE6ezpOcnzr>D zcf-}zsZn)ODjnO7Go-d45i2=0UYrm!5rdp10(I0mzA)`mrfIljMu0yYP;m3RI72n>*$ZM`&sn9}>Niu{@mGspT~duNV1O&W9iNNM(tVGq zB%z_uE|PBptK*^eVLUNr)iP^ge08HD2qC#f2jqC8^d%e)3haNL&bpX&BrVy`56#Lt zv@uCTQ+6#Y0^ zJM_8GvaD?L-<;Z(=Ni_a3g!BmC1kkOi|XC#r#Js=e#zj5M)&o)V7r}fay5L{O}f;{ zak2Y)eou~SH|Z=V$2Z*96Vp{3=cXLtWMGR&UGlXI2U(^+IctO1pQ1bRr__AbJ^(K< zVgU{&OX4H?S3Kn_!Pwwn4A0}(MGVtLMHq{U_2H&>>5`suryQaz_&lgY8=en#_LKqh z2UAbt6Scsa9QS_uQFhi!hgL0b(U^W&%Q>k;OeIcuXEA;WZ`Dd)Sm)=AZm#HQ=nBG7NB@`$XV$O*`55#E)pFY;7-?ws-FZQ1`sy^fcOD4gmF3r)CHF zo|sbPqwVhR>tmb-lP8XJ+Y--_i3TwQJBB;?U$H(KYG(f?XZ9D_6HZBUp<0+%v@6-& zsi|YFwY6p}`fOxTwXbEaNm^%b!lNa+BiV3DbjO~C6N8bB24y?F1mcK(lf$$BJPsfK zaiJXCG2(+B2Hjk0A0PCf@NPXvrio7tmf^`v(syI0&ce*cVwg4pO(VLvBCz z1Y&5z@)!B79onSY@?f+v-wveP0t1QfN4I`B^n)0AqIk(3V!sD7uy*HcQ$w#5Nshas zsHXYVn+N)%Z+#w!T~U-c+Rt5E4F&woZ8*&Dd*ZEuQwDU7ED z8st#z`^hu$8rDZMWd9FmZvr1xbvFJ_G8r;t;RYoTL}Zkx(MXL(YvO>;g&Db1CW;j+ zwNkNQq^=ZZSQI63lA6hNDsQzvZEMxmE_U%%yGVd436Uhoj#XpP8nxCt4%UF0ghl56 zea@Xp0^0Ze{r-G3bMLulKhJsg^PEAqnq${Z!E-20P32?~9X>dWoE2Ng@b?ywv|=#-QIKIp32s$Y_(7QlNGs{F60(I&^srl~2N#A%Lb&T$FcMDb`(lW|`#s zl}Ef{xp5w*frcj_%ZYD-K6-KKG7z${TtNn2RQ0lm+G1hG4OqRyG4ngz3S z`nyBU-E7y;IqIHB=SH3K#&Y8q-B`%~P zLZa;}t1Uwa!2f6YkJvb_;!r-Q69Vw~L=H>#-T^1^B^K zctWaX*9z!hpsRz`%ja-TSLGJ#1W1%(2Ipq($x;}3c*n0XRKI7_?_Ko!kVFlHc-3@E z$1P>`0PhuB&y)_r_7k8f>GUk=^uOq8g$z)-h7W3>Tl(J_u%yREY+eul@3KDQEmhNP zc1s^?c6ES{q>sDk%!o=fq!7!kpjL0)osafU}D<*iwh=52(|f2thq6=wr~ z6zL<3kxyj7HT)N>Kj^^DvXpH%#4Zs#2$qS>b7c?Z`LX!Fm;VPM-N}d2^1s$T+R)lz zu=rC10rkm4xBO9s__gGvSN;q{cJzLcEA6+h+25AhZw(>!?Kb&Y48r+UhJ|1c`RK?#=X$AJpvQw!9F~}p+@$oma9P3>qSo*a<`r;r} zUim*(Igt9Y`l#3ArkdpMr3Nk2$JA>2n0#7XK1%0PE#5d+;s8QV7OS+y;FP({OPY>l z3~aJzq6d4Hud=_52yH(*ihCDm_zAQHG&;`e^hlq&Q^nsW1qyiw?=h#s zq=F~EFz&yLRgn=w_+PgE1wBjNEMBa+)(=^6@LKdx&+-{GG?RvGjN7=^(EQzMz=SeQ z6;Gj|^qB9ccAZPUFw|nJm1U2)9DkRdWiLp|$Ja5wGw6^#{x6Qt8ky;R*Cf^Z=MZP% zN?x^km0ZiPp0PhXqCUv9ZP=E~y?9f&5TT|yi-VD$T)ZiQ_PVXTvQ^d@x{)gWA%&P7 zcdB?XPsEjKWibkvoj0gPP$4NyQJKup@&AVC3G%2Ml)U$`ER@HB$Zim+?5llkS>gQV zoIDUulN_MzYs(I6wHWUax3X(F{2Oh{?rX~l7urcVDkVqISzE#txzc`chQ}CU?^hq) zg3@{g+sP?i&cC)Rd`26p0l{!ed=q6C|1$b69y9okX6;%uS_tir1wa=CFyp@ zQeBeTE2#sK-v#R}X(3oYAU|4EI%#9tbwKME$Il$B2|A$_$1V_-;mjJT1u~+E>|u+f z7KpT*!9~g}(CncFiYDALr)uJ|h88H-ULbS^gH8Nju8%)&KxU$shGl_ZMxZk+5ED1X zZbrukZ*=5UwLF5#j~TC8A8hu^?e$?TWLXB6$zGqfVe1o0wNjK3bt9!J?~C;&&lxw8n#6Ciq{GRYOW{g4m5}- zORAl6PF0SueEt;tElvq+8PdF9>dDg!#Ic7N50kvEeg{7onF z67p^h#=hmL;XoXborJyc$%*UvguD>yCiHkVgw3ZQL3s~V5W~PcK-36z1*;-X6Yw@1 zXYCt52oZ0wz?H2Ds4YLh!;b}_|3hG7uPq+!p~OFg*sT!4a|TCA(*k%iFeFJcUMeZ=|b;4KYB0~8CBzbKXP)qc(O!qDku%6up2EbEvq}27tT&Tr+4I(sv&ma z_+ucwi_kVN4OB8EMaSrLhi$rID~9lx-gI|PM82zIwyYAM8~+cPwYT;$k@Daf$@DEK z*%?ix!jq$^qv2D4VQCC49irxQrA*;FXmqyBHJk;TlANe6eCu6;H@&F4qdlKD>27mI zNki+(5z(F_u^DoaS>+z~z+<8{8AwHPqO(do(u_+DVVJI%-B87D$a-gRH+Y(}Iqic9 zF%&B(71IG2GgMk6f1owHlP3eMt^B8C2g}*qCGbB6KfHFm*#>l&hQ01FrOA9OS+>tW zYEyt<3v7U4&^;z6{B{rz6Cl_l5d0V(rA%#=z%IR_yKi*pB@SVpR$ITihAE59C^F17 ztpac{RPIf}WE*ng%3G`>mxjlhbzLMix||;(rMj)|h4LL$qU(Ug@TzCH!xIdVlABbv z!Z#CS8)?16wwKe0@~KbNkR2HlRe7>IW|U+lbG4%EPqfup$J-H5=izoG2t`HInomRP z-X5GsFw=fvgTXDBS3LM#S(70+0-*$6pCqF1Io5YkC8XiwTA;#L#hLUl3N&nq(I=#r zp9?FWcuhu%q1Y2$FNXoM?isH=pD#8LkJ2GqU%fH?Jvo{WhIy}#T-w?kBiiF;BfG#G z$(K}q>5EV7Fqg{Y&=-8IjU2;C+yJfL;mbyoJBlXp;!K4@M(m>G%sxkbcwC)#3he%c zhxRdJllgw(6TEi3+qB=~bj^l?` zMpP|19LVxN{xNo;I0!7rk@KLrv`hkU%@3OIUEdBgC+>&#RqjCs&rAI5ri@-$W_;#9 zhR-;Xy69upqh=FSTxPjdKSW_;9Ry=k0s6;x;+odvE&tQxzOmr{d2-+V4x*n7SWV2a z4Gxa@X^{TF87i1Z07aPZA-WbI)5M=UN_Y z3~4|b%{W0q5CiC(a>xc7($J6-K|5?gcpI7xSoL84ry+0a@)v{V5i|!WyX zS>q)V6Ct~etW(aq%x#n>L(WeU68Jzj-!i<(B@0Dv5LKBcN0~_cc$0)jiOyxS(f^70 zR{7sK!;L%F4(mM@5(ULmlwPGCul?mv<$8u8Q#;wk_zjmT;lQmavCmct2d0k4sO03*7tnCsD?2 z_M4vt`+NQ62a0ID&E$6X4#V5F{0?C(zln1&X8=@lHaI%(65!Pu8fZlT>=rqK zV<|T(DR9o|b}|%!Zpq#|Q*Tle0u(A(+@fYg9MBiZQj+JRgdAv56J9tt;rVb2)>oN8 z8?z=ZBun%P0r9h7I2K@;FTnCG!5p$W zk<(CCKp=1zbvYIfvO z@Rq_#Up1@CR~9veuyVw`OxivO}~}6faSJsqJvDGOSB%I{uw0>AE*&8ysg%GG*7$D zcLL(w6I#5PPDEfFVwbt<_6KShMLRQ&QRtMpXFn9996W;U5w@5G(w5S%$) zN0Xri??LyTIXT<$wdm9yM|ct1|DL|-xGQ{Ha12*P!cn>&knd(ekMd)vaBdf6<%OA@G=2`;)X7VKKt#{J=@1wli!15giVAq&Y z(y0a$gqcSA9fajY)VdfBYy~!;p(8@dpQFS&p>PmRogiY?CUGse#Ci<)joyV$bwSVF zIkMc9`15UptH`pJP8Jywr@=kuRVDqK1ePLs#IVR|u{mJ{m8{J8vrUfg^ViI08M#0Y_SX(f>Bc1uFSvFCm{fvxfYF z>0SOHzsO+%b4&8nwEUtZlP?G{n{@GtiR?|DLUg(={%^JO4NC1}aw3!P8x1sPA>c>; zE<_ZJB^>Nqg5?BNA(tl;C~5{_Rq+o)a9RQ9fMgJ;>Bo=N&OKaH*E>)A_va{J*9>rcys z==KUydy2>D@lZtpxJu28Rr_}v&kF&3mYssVjYt5xMB44Lo?EG4tFfLBQvAD8Q+#1b zYW;P6}~pTH+JEH9ui|0t|ig>p_@%pVix{`v{YNH@HKwTw(^c?Z1dI2PPCTr zJys&T!78}E%2aYXbhD=XrI52zUzbNq9D%UjV6IrgO3P2~s7IiI0((~|Sa{OO6(|)D`xMp`VETw3(K@i5hw!-w4;ATnN$fXp zyleNa!Tn|kLNB!*&mG*sYpB-V7l!PM&ER-yn2Qr$wd3wWD>9ffiFCZ%me}Urtp*LL=)mw)G|(elFdJKulxp^dKvov#@E z?_#>T!}lPK5TfG4afWx7pO9^Va*@zQh%PJDckI$~K3F5N7U@Pm$8Hro?xWL=`C%1APL z=WdBP(`xG()ul3Nonvd=#av@y1%_2p&9mu9UM@J}=S-Irgr4Y66oiE_}Xvc~yx+M^On zj{8`z%2zNQxGAkuy5XPUi}|rVBZ-`-Qp$!>CfX@u`BA=+NZ2Y1YM{1cbK3j!?B;BI zKdEs{+G|pIetwud;e7E46$=bJ{W1QZOaA}*e>TdJ+wP@l|IcOV*J1vj3(`qx|Iaz; z*J1vj3|+aXru{$9PrnZNe|pj>Y5z~$GKc&>2S>#sDR&R0V?;9^J(Lx>+dBPHg?@zo z;XFze@bfJYW%6YdoHeHFZBp3;Ke!VT!TCtn zPTs4F15_VzS$kk&MItM*$|z!0(v0=;C4$mPTppda8`O{r-)@~G?cYQc{>V416Q1I5 zcNb*KMknu4P`sOjOpm1r!`x*S{zS?ZznLX?bt@dkSU88HJ{f8&X=3J{dC^nmoOur!0fP64K^h#KzcT`S>sZ|#bKnWF_vx~yaJ%SUx ztqhrkmsDptME=axQ@b(Bc<4?sl-hhngvlUn+li|1gA^Y8wz6K(seHw+EOH@}d|p~& z-e%3?+u%zMm4wWRuU1Jzd&2~nREmskdW!HibmXuza?xO|uOq%9wr!cb(>y3LX&C;> z^%IIRgGvXYI+ogHxBR8TEpwy1yN2dQx%Z(u;(U&|Um(wAwbw}xJLLfMj$wF+X}v!2 z8#*lT8ZWHhBDfz^V`$$_~3QFLJR@)0etERJ@r|73An1m{K% z;_P=>Yr7n)^S9+F`MS({9e@^h3PP#69()-kE=uCoBDz`zeco4QtsVA#dFJ~V^*!y= z{D$@5usl}{<`Epv2Rw|uq{%epaLBj_TPsx9G=N^@+lcPVX`L_Z!~M zrJ6OHA{noSK+HY(%YoLy@-uCb*)U!{X&8}4OYWm3Z=cS4- zWb=9ay4r+4_ryB+kpfC*h9TM9M&O#y3+x+awO;|XV+HT=$&{Wtt_2q zn1>DX69Wm8n7-3Vihh8(DK!`W@K3cDLsjnRJ6Yk2X#4-r(>0RX=dW_(sX-Fgdm+3h zM_E4^tRKAvA5NeZw#EeO=X{V3tQ^c>-3)4C4ATGE0vTdZvtd*i%3`HIN^2`GwX-Ij zrhc-5L}Ixp{4L52B&qOeJh)|t28*n--%O?I7nJnlaLMd|!!R3(b%!Q|kBSxk=uJGi zWUkO4;KO>gSj^*pC@rD@hr@c|Fj(r|&493&hZ}oxL|ctJE>YAErtovW?Or;*u#`(F zU`xZu-YpL?m)7k#`Y8j35f4ZRZ6$FUVqcz}DqeR)miJepRWRVfeBd-#LhJsId1s?s zBy2_%?J5>g#5k4_FG5u5IF!nZ_)MY*phMsy5O9c+Ne0~Lmj1>X?V2-hpnfV-ZwzrU z>YT6<3)H2G$J39>E#^R~IF~1Bz(^H;dRT!ZO0!5o^l&Pi%gQyea)ud~!3z(c1#=aO zKUylYgMp?D0}a^yJ=V?qKYel3;A9Cm6e`Xt?dgS3}Ia z8uL5?>Ico0RW;@PHRd}Z^FzA)RIS$d5%V2f@I8b0k6ksf8T6^cdyy8cm*sZ08u9Bo z3(OeWkz(`FWhVhEX47`AM<1_tdsQ%k5ckDQd{!Y^_Uj;cdOG%L+J<&!GtKxTPh@_Yu9Et!AjRi2Xgn zytT6+=|qbl^JbX;@Lsg^YRr^G6~r3(wmAcZ>Jlwf!j)a| z`{=O|pSGOBs`mhh^_p}PkXd9FUnH%?o20i$M$T7b#ivV(w{5A8Y-@M8?mOq!9nv~lk}tAf#~rK#{D`8gWCLGL5LK=@ku zaYsfGjHWbIya&TF-3u5CJ_gADOwsjEpt?28&1gTBO9a|a!+A~{bf^@}=Fpo1jH0Hf zDS%Jn{i?Lq@Lj<{fdZ~HBE}WB%yF{0Az=P1X#T@6r(Li5H`SX8bD(Rg_h>k;F64FB zB^sG7xh6f;!POr1{oO5nR5D>pwCyvArQwHypHB4#W)tBGYGf7xUy@I;`|L$!XvEI( z%H;&PQl&4M$9)eGmpr@K+}Xeh1Hvzfxm$z%vrv*<8RWh$t-L;E;TzMEjIU| zEGCKt8PX99*Uy7|J?6C2UxkPL2*y{BZiDRau)1EMHYJio%IHj~V6NWJ*frA*q0aTk ze`c}8{NA^9GpTDc_vzk!kuE{>Rib0|iKT&=2i2$TH0mJ5ppN4B_VMr$t!qLWSK1g3 zoNTwg$LZd57tXGBMQL`~Y39yU@ptKlKmNGgfr+<}uA7JH1hJ`(L|XrsPW{Hh35B2DFcl>by%m&^JTQ2Y0LWNdD3YhyW1Ljt~_qFzM;T! zt2JVk{oZ$%{o9Pbn(wN`#5`WM5&vN66g9!N(4ssUW%JVIZ0Q>t)%*4mw%w35b11ur z4{|+_)G`h#hI%w#q_OPO?o3HovZ0b`n6jISPP_RmFca)ISK<_2&$IRS3v z!n!l*aJ+bv%vZedr~Fv=FgY}JE$>g>!TX&u#`r`v&+%!C$s+eXd~pELX;>R!dk~BY z@8rq4&2CH+L&z3AK07;A{2kJd5s5N%9oX~3Ae0=#({WTEmm}*G=l{-_+Lu z#Z`sOK4EmRJy`ONUh!iT&*HJ@J-TGEb+s&fb#5d(`7cSh-Y~UP@k6S7w^bz{W4S3* z1ci%L&3D>gc%Q4@Z{|JZ{UqWFd9CnYL&$M#t1^-2_^lXh69X%4dy+q4Nv=5{(_UD? zkF^#GMA95PDIiI|Bxwy4FRa3I=3fYnxOUzu=Nt?F!u6td2> z^C|e1*+h0wyqeG#q}Fp_fU%$N#g!?#+MN|S!&uN^)7lOrUQma^Bag20h(yKo-uSTs z)-zx_qn$<3!=nFvKmN7J0Dl+dfD}Ii$WLLX5(R%PE8t!hmeQ{HQl8G6H?ZzsU~= zF0oPGv-jZ;`AgGVZXbxd&X>Z@Eg-@!M67LyBgfB?3L}U-hg zmru0n*r@g)oUe);j55H9z&GU$W+WJ0^*Q@4hqECo?c2Y{4GdCE&H6Q7K!ci^xypKF z)iM!lKvZ_o$dok4^9dbe>yHx@2N_OTHxHHVOBM!W*L_ZSe`^t+C|!7j##6;d_kj_j z>Cua8#^9pJZ7ph?Ha=Pa(w1jJAFzP;M5yJ%rGht4FBa zrq=+|BK!#!doT&5ap}vPTeNP*G0~h=Vl3$GYrB^jdmbkoTZf`tM_~IeU@H6CeBnat zC+gd2j6V5pWl9dRjE~*r?rSTuFZmIxeDs~8C?#UEO7KJB8;5zLUD;tm_)v@H!dgFK=PXC77sm0TnZ`{m#)dtqsrkJ1tdGA*gwFTcASmH^?10$ z@vYBiIr?fc5V67vox!KxVBTaih z*BUpIQ+r-8CL4|Ayj6HPn*=Kr+%TM-UI*o~UTjUp1u3l&nu4851?0jB=&7jIAd~PE zhvNk?J(bM{>hf^>Be9=8M7y$hw5K=MdIF+>_q3_A+&J{^v`j$IZ_Xs*&^1LEtgEiZ zST)m~!R2abKcN=RL);s=UJ6`G0bxX@%1e!UIf@a67auSDaz9*lKTx=!+h{xNvd&fw zbc;$)^mrlX$^S^^avk?6e}SEAp5ZRNcj~QHuM0; zof97IH#>-@%7?u`CE8eQ9ad%%tR#;#9Nn5C!)45q*^VyrRXf#sdMM*#0tU7&bFR#I z=7JH?H>%hV`17VOsu7T`FsHb?#baT=Qbz3wRPL?2*b|7a%u8Iy^oOEv-$v%i~&!!ID ze7)J(0Ba)mc<3z-9}~xQ2~ZXe4|GKjUbT8<_-2kvX$?C_iYD?oH?bvrNipvTnJWJkA=1tGHk|(G070??kIZ9jqLBUdj3@3AVFJSm;?2UO; z7!ZHc=jmM1nVDMnpMg`@g)Ph-RNxist9622wZ?}9nMK>3Ls{#*)3nAql84F`x2m$R z^_1Oe{qP=zn(+;6XE%R*Lb8Uf@LQDyt&GZY$50kGSw`a(%)NaoOKv(#NM+F)i|rod zlC5ZXFC1ERd~Pt|}f&0c_>o_^d4J0qFjkO7RZ#c&A;0 znn;U7KEZS_JFZhcW!EdQt(INi+vh8ZMy~Gnl{o5H#!!6b=fvGvUW9_dnopo9L9oxN zF&Dr82?fnD2iRlhuUGQgE2N;=`9$gv_wZeOdYDg17eZ2URjM(Jd5V{q#F8BC< zL;eD&8@oaFHMm1ma)f>%4z;lBW!9~)GspEW$+vU`>GSl0H^tMNaODIl40g78Tn~;< zy6qNf*9>KDV5aQCVn1-xP!sQf{}v(-q>3l}Q{dC}=S~)an&ygr1j-FyV1Tebc#W?l z&o-iX>^g8k0N$#kLIXXSA)hc+$T2#euv56gR4UIN4mgU7uQ*7E!XC55kEly7x@=If z6490Vq|JExHQLH>T-&8M_jjt^xE>Zm4EfhcdokA|eC%}HPU1*R4V|tz- zW*6~Xoqk@NDn8>qD7vege75BO-;2Zqk}4iSIx{e7g3Q4FcUjJ9eK zT-&9oa8Bdi)gPq!;z6YtRVpYuzP^m^M`us@)UKy?zd1Q*TIy_IxF8r^p}LtZ!TnkTfq_{0O~i_r1b zagwUW+z)&$^qUqxbCn5Rwt#Gx>-c|;wQdX2MFEayayeBj@PznDoMRovjUmlI?t5Rp z?e$m9dqjL318dU9twfE#9%L+z*Z3Csu)RlmkECqkCusg#I6{N9=l>qMfhTpD#7&wk zS8&7&Lu3qc$djYrV#KYvrFCwNvtdi?ksL=-yy(et7Fk#VqAr~!rSa%Iie_oSF5J>2 zM3LgSC1}$_ZBmN!kagj6EdNlqFZ>VP*75as(rtBo6{~=F^LGZCJ-T^7LjC&W55cAJ ziM{&SKm%9FwWEGB%y}*P1_#qlgfE%9MZ|P$`Ym5X0p2rp?(!3Y+KVqu*IvBey{0S& znLtZAb@OH7cp4&hj_KmlLwV2gsqIh>EzCD@X3-k1q$8;p)AZRy|U z^lz9J$=^6xTBboFs%sA{W%0F!+v!|%K-U_oc#RIs&>CK4??nd!w#_3tFjH%os6Jg4 z4o3&(Y7MWcw`;@Wq60T*4Tb7$f!6Q`iY3ayph0s)Fxo+Q`Bq`t@n!>|pP_A};q~w5 zFFoPM;I=swa+Gh{J&@>gqWfWBa}xV_GR%o11+M@FKc7W)uac(sZ?0f?Y~nlgLnXs!2DG)84-g&(tc=07 z#%#9|$bqaigBVYJ*GY$yn%;cb0B?r8H3i5#uQgFcA4yvwX?h(SF}mF+A5bK7peuF? z^UG&HGw(=TrzZPG?S3bPq60VGvnM+6U9CZm+(ZX%x9N3s;0~?fVU@BtydXNTRBOl; zd^8Zz8aAus6e*OCJuf7uIyJ|V#m>s()GlPl6vY!4Pjh781$FWrW6sfckH4Avo37D4= zzll7B?8=qyAkk16j$3NYQ?)K}2F%vR)XLnAY8~@&@$c8Ym>aG*j0m?-V)ey;Cf^L@ zkn}QhgG*^@C(&~W)7KiFB*(E@gKWwE{UNh8KD{D3P<>Cfv!lsLG{EHFsDw3dlp0{& z{N?S~S(!&8(3sR3#*s=LBkQ~sT0@>RlG>W$V~4XMf$7~5DbnkX+!UE1P{LP7vO3*0 zsj5EpBuV$2QQtXFN-o%G9RWdsaG#a^l?%6K_9xv^RPwR)V8BNFRv0e!h4vzs4WShc zw4{oEyO-kNc0^7=_7yM=D{#f)v5ZGQyg82^aE`G4AJkD__>{_4!hZTAW2v_D zDWT&xsCurh1E$C*9X|=L2KoND`mPWE&Y@PWO_sF~!!x^j>r6yECJR83`SDlJDZNf> zyq2M<^*c{i%e^#LKyC`BoBK9rg^T2+TrC_E5=xFHH9M@bc#;;Xs*qnDaiZGA{_=%X zTK)l93L+JQni49-i2N!nws4L%m4bdItRpGNnvk%@nFkSas;*Y_ zyJk)F=Ut5Na}jCc!Z?W6%B(-hq&`~eVP8umS!xRAfg zBaaJ64|>#A;z5H+M#-V2gVV1}aPz5Mkk@k4L6(bCkfMvC>i6o|_G zO_3w(M;vCW>|>9i^5dkZ3WuvVZ?nFu3`a0Z{^rwge^oq_qW7}RkIi}sS<`Efcn}VZ zv7a4*VNm!|Hn-3R3Eilh^nmvSs=`#fV55-e_$p(UO1nd4I3&IDC%%)ZW`b^`Ng!e_ zl3q;QH<>u1)+IF&2hhf=TKv?)YvL@speL-;i^<{h_*))6jlWZfcvp9%LTi*GK-Az) z97VL1suG{s4_S$Q^1!U;Cf>D^vJ-FcAYED^f3A~1bLCGcV1Aexjl9oEJWEFFpU{Rh zTlnhURLWNsc_i@|@|)uCeZqgTCp^}T8_`?7m~X8N3q8D%7+I-yPTN~QUZRA{{qk*| z`nDp1Q)PR$_-A;Uv8gqcsoBqJb~oiysM*w>olX*8mR zF*;O`DAjK~5n557*T^~WUD!0n*pqnOQW2@I6VY};@&rlqSq78l7n#8yn;>ckF{Yvz zOZ*ww=UjY*rRT7E;v@O}Qrmj^{3IyzU5S4E1RaqmTycX~j0d^v%KF_4AOaBB3~K-n zhWPbk@m2lsjZ})!87e3N-N+!2cJUROJ>*j%j&65V+5SRuqLJ&cB4=37QjbnXsp$!7 z@>hY|!<%Fked$$9{+UoJd$lXtqpc$e!szW;u30N7w&67Tmk>YiI{Uf-I&0r@6274F zqv$15eA+{s<%TEc$6WWWJ-%6-pH33HQMnEgU9cUgD-`!-8P4t2I_8KHI1@y2J94KO z@oTd1u$j<2J*!E9A5m!O(=hnUBeX}{_1_p9s_s{pa%c~=8P2~OPC{`V4n~iFFSiEc zW2Oc*|KF@q2xC^$Qu0mHnksIICa{0+Z(8F#jHt;{9Hf5(ihDTE|l zxN1Vnq{ifxdcW0n$YpM7vnDxrIj+jSWzVC2=O!}bk>Mu7E~yOJgBhH+?CB$e-!UVn z&-KwJr26ofy6TFEX2h?|vNd$pR`B`Yk_}BXDo_L1_`>m~g|92KBKrt|Go$k`UB!>4 z1x%=&VRBzWH%4&X-2Z~;R0Wgbc{K-MWWs+9WD4AzXtm-=5G%9(LX{lhY?28BS%u14PNZJxpw{qLsQ$1{CjP*C-RkTqkrA?CQk~|!*&VqR>u;oTv%SCjq%C#t z^whPjXu2W`Z>VhRK{1a|VNw6y^ryv5ZhzAXr_`R9EtR)WRQ}Zk8%KoGwffDP+4=^V zNn-;$oqw8xn-Kg>lVJbNwoEJBxsop3yL!SN+Kj&26aDZFDvC_POx@lRDKW~%5v#gJ{XLj@3AU9vtDw_>K`Wo8L zif!cFda1Qha(`RM-E%6p1S-NOaENJ1?gBM0c7#vzz7-jZmj~XRQ;Y>$1sys&YddqY zDv+&7%j`QHw3y>q?GelA*DnUD@d|^E31ze1eL9t5Q?eFGZiM7c9K$()6??g|t}f5A zPLup9#yqQ)rxeXOK6a7qWi(r~oG7=$qAOp8dJ@LXj^}LCoajF0 z-}TEM4H6u(eF?!al$~4%&V{$rA8>7vbp=ik5F9@!(cDacB6^(6P@5t}Z7PPSjhu13 zKqxzl=XZ86vlUYmVc%(80saDgDe7{%P?uJafSu7MEr@<;s^W22zl9$bf-+wSO2Myr ziN3VLrY55AR*G9FX&rSiu&oab4$P*c13;Z_CKTQuPD!^~*WD%q>w}Um+seR7tXp<5 zu=Yfo)C5~$iJ0sMY*O14xfHMw+8RF@Pl!WdcHHZ7TcPlacoT@Qz6?vQ8rTR&@*c+T zM}_3=(H?D!4jftK^=`iVqJ}Nuf()14-vr%A)7HUSAgql3bpQdH>dCTx4+i)$61;gh z2~KA(!^1*k^IMd}l_tS||D__qGCgvfWgf9UICr2&58fEQnZJSXLjKl@J_6oD#iy|= z*}=3Y<=YM6QvT`^{cU)TGTs)c=2k%7k{AD{uX!j6~g^l1VD1 zI}erC@qoE#6^?=HiR6b6)1cCCeGLb3Mc3B9J925BHBx;#oScdgJu5s`lJl0PUGY8wM?~K{ zn)HZ)9W=(b{G})IQWVa!FEZY$a(u3m#_;`L1xpLpdFZG0oce+U2>KT3M6H|JYZ<$d z`H}>0SLUMlqAvEjJ4+UFaSQu>@0#>}5A>+mSNaRBDV$U4CNZt%tGbx0x~)CzbhBo@ zy=CA)SyN(1`$YLrp%%7E`C5<~S%I#1M)ZX`dX^m-jUtHektd=(??t%0Pfi%y&Ub9xz>10tDC#Q}*;&7DVr$&lV&g)uZFq9fk` zthxNfdd^?awl!H06EzyvI|@@qa-m1R=23NfQSv0QJ@cBW%Q}$xM)fs4f+zp^1l(QO zpY7|F>R*xxv+d}_Z%5cFCPB__?&93$C_=$RHx&`cV+r>Za5PhV3Qd2jTWqyye*Ku( zZ!Cb~F-_OEA4pGrL#dC=#RcXxo00=4_Mu)PAmYjAv|d{*>Iqy}Bk6?ABrws1(P=;Y z6=IdvAm)Pl)DdP~YY?g3h)?;ir!i;!bqt&m9iD@w0&x>noi&lNh%Cr}W5|d@;7=rD zOAar!u?v6njM(X4O%>nV!H|iG@B!_dO%3ldWQhW`-Fg#121^$Yow|~Z;jy|f(80ZL zw;m^h#HNW3OkDZhi(uqovPI<*nISD&nH!&sjmLiWDvGqr2O5#_vd3<-rOSQ)*<_u4? zhqb?peCs|He!uwhmjr6?MQ9Dq!7O2d(x08t`iHInT8m4{kBzctm z1Nv;;a)=<+$B-A9D^Q~A9hdBolcXG|(PI_cbh|1;e^!+i+2IPAE$f$fyP#nI>~h%) zwgu0c{Ucdbk>OfxtlIm)0lF771WBGDHm0v%r zBpc#Bv~2M06~a#|??s!RMuT|1I`Z2;y+jo?|1Jv9m#q(;Q^$Q%1k;QzAWpA3ous0G zsI{-$BKI)0$#Dw>V`ky6e;_wDrNV`ruOU5J_z(#Sx)Wz2*`)Ds#swHX3F=?hd7u*` zR{sQ(9lfE*(W#%zbT~Te#pWPS9ra;;W^~l|%MS%+Qz->RxL;SuAL}X(`m8a`sHF6! z(utSQ;JO0&e1ZBL+tA932mqrXx3|J_8L_BJGEMohvhs0Xv`b`D_87Ly_BB+VBdOx< zjgW}K^>OephkXxF*rpQ^w4zxmEQGcDWvM`jN4U}~e1NQIYE#8KD9KhLRiZ)k!f&RE z|0rn^3xXKRxmFjrMh>lW-bU4nAUb$N#P*4?z9+D#>K5PYBI{JReQ}3U8xj|Ht>G*t zN)bHOVYQ)yRpR{avKCQ4uEY{ph_`F)x4HIP$bRG4qkOx>ep_t6RoHJU?6=d@n_0)S z*$JcVgeN2+?z(;iQOmv!)GsnkYUBPjjTh+C|ZDXXLmky7;J-qc8(*5j_b?w2_d zd`!U+Rx1V9P-q2%v)ANyyLe_5#X7UodSfJYd8a*w6bQE#cU>q_lXoCIis&;DB2MnK zz6D>MUe$BdL~XSeQnyU2+5%v2dtR9)v+#Y>24EtV?u~Gcp;#^TPEwh1!L0=^(jXGj zLr1B@MuF+_Rt(|G`s)s*BAX98`#rLxijx$Gx#ChUWXc#8HRNgNSsF&pGYfA~Z2%*` zdqGj(Q_wrn&NjrRRPhf;OT&o0lXEST4+zTXF4*vS++9~j{F`j!#EY=i(r4720Nvyt zi|%o+5x=`gkIx#RYiry6v3Uid*u0$DPkxV=|AA%(TmE@-&LlB$W3AW``NW9F#S>(` z?8oMuYIU=Nk$RaAHaa=hMQYIJ-;N=8wGn@6g&hE(&Lur@ecVVB$_;5TsF_oXW-v#{ z@a$CaON?}bG$WXFD!<|`2T$6R1u;*xdE1wKh8O%dkSP~?BvRBjl4ohpUy~(q=ltGH z%g5^F*sxo_77yhtmg6sf^jPOVA}iII-JFZfHGNT!Hn6=>Nx0&nxbjf)|; z>ZCWQP2v3nObhvaMCQ#gzfnLM)FB`@zuG*ra1ijz?Uh?d@>rX``z6^M7c-1wOW-R^ zOX)&!3Soi7(5P}6KASgzZk4zsjZQ&v5kaIxv2@n`+|IJ;?%$1>={Gq80*!99IWc z4JP`PC7oD%)%w5!&4YLe3nU8&3seI8<3VQzEA$?^G6rYgyk~t=9dH@QL;-&d#1}r% zh_%TyUje1vLN&xwwz4}u3qJsblodwJY<+w0`h*T)`D1&$ z`3q>>=~JF!QYE~{>7A}qc;*e(sR~INWf$tIt5kQ=s=Q<%die9m37xJ_f0M~Mf}F{} zMGqf|a8nBWL#L}d{mt~{BsbWV9AlPL_#4Bd%w@)h4_?H_K-=z3?-l_*^MDluBS0bs zMD7qhTNaogF&211gouDe@D?zWL36YISLt?jmF>=@JGTX$`-CNl9&{~9)TgY^MMiOw zr#_WX&;4ZA)j(j)Zf>~!L0m3aBd5}ZRYi?#b9luq~L#J*kNuU=T{ z(Y}Ab%Hc0PgNWc~gr`)^%?g)sYoGSKk>x$OyttfG9CI$3NQdh3a)Qpk1%>n3G^cLosGd0U*93ZNYynS;Yod6+ zv0sJ;Ht?VT{hZsF*okAniov#bb6%ig#}#q^*+t@wSXB}}uj-pw;d8X-2@bDkd3P-z z4@x+HBH{XV=ihX9mZa7=w|RFhWA59stHwum264r$alRQW-xt}yyw!g!LzA9zR_Nm# zoa;U=4CkZxIcbAEv<>#qHrPYkAVUk4zs7Xa*`itTRcC*?UWP?TdM$l}Pq6%Nc!L2N zOJHzCn=0};yZGV%lAXgYCOeeFXG_v@)N9E0n~BFg-($xyHV@(vkh1FfrD(5J1h5(A zW3uZYt}pWDH+#G@a%_=!od+@68{b`VwnHO-ltu9i^?+ZVPM9Kc2t6- zx{-izHx)@(IZ2s6kj${dH#KCz&yD0#JUc1q-3CwbD`BK#stdg-XW#dQPt3-3pPxS0 zf*5R*B=s?zxzb8H2cS&JiVzQtD;q9ct=cR^(ny> zcaOzgtGQvk&`inUYa>Tz5|zH|rTb(^ZW&Tx3(xkD_OOMF*u>wck4_e@z7u6*x%e}m z!8}|am5guNvG{&XUMv2Wj9W$0RmtRitc&6ng^=wJ4}XurexVAUr@}ug{yaMEM{V>7 z5tIo}StEh_PS}$pF*SJ2{_J%_Kf0N-D z)w6rW=u#xH+^LR0RVxORTL72v4kopFRmt=Ye9#*}RESxZr?txeB?xoZ0{&8f{?w>!aNjiw$ zBqI+F#(~JVjS%3qHM|louu_B-Z(H~_qO~4u>uH;E# zeCL9UtZ%T_sK(Cl+jd?u{K%qBs^vi*o*@nXvtuU7jRbH3i$NS4?qn8)XD0X(VUV7M zg*QJu6`qOz%lO|TQQgrJ$FFJ)#%Fb*PqQ3Q3bXgAobYJH!t%!tZw-b{e#KUL!Sl?v z{$1;@VKhczEYg!mM!CE9r)Q$gL`7XZiNn6<9wp6dAEAisWIw(3ML~ z8OWpd74^}V7Gs^Ub*^j+6#`6oM$G5Xp&UKLD?%=8Sppm9k6)jq*B^EOHp}6Zlx5w= z3$$!yLOQ}x@A%a{ZAaZ)fV{&x989z4?5z`gO_3^J)7{k_fr~L?d@U=P&s$YTpc?-U zc4|!z=(;Kt4^)}@7$&WP@KVw=kD}@J*!=y-`NHW$##9BAyTzab1sa}Nz_0?S0IsaYed*t z6T74aeZ+X{#b+|;+!0f?4d$rFNRolK{E8oIH@?QfopV3%w)BeTT~kcHlnog5*4fsqmR zH`>*(mQzxq&^OfBPo>%eGkD@-q)a>q!*2Zrv05do>bxt$g>~M!k^%$fNS>j;fDQ_V zj0%b(C6YUGg5+|M3lE0o1za`Qo?Tw|H=+sO{Sd4DGKnXnjO)e?64bR4j;OF zBmlyRk|WDXt+D?t>vS5)l98~MJ5$L~zUGe7?7r>^ss6Wh=MlBA!I;#P9nS85`wQSB zG5a#B?@PP+41>F2(X^KO5V3|w)3W2iVO$EROB||Q-}o7kM3FCmuLwaW3miWP+iDK&#A+V!a~{!%)%?bYUHxz< ze)Ze6v3U=ghxuaq%}-+U?(>_6ae+49Gq=_N3gavXX8p8}=lvT*NPOi1xrqpd+o}5DV)!w+Ow5Tsm|);W91r@D5#7 zDQ5bi@plxm^~C{mKmEFoO>|yzB-IAW-=XHZLlxlz$w_sGs#i~nrp7PT>OQQ{od@-% z6Kb5h$zr!puDjo?J5(M%tM1U0aB1D48QKrNMx%9y0{0ZueYjA+c(-<6H3>>;NX!IE zYRcQzp(S)AF6PDV!Lt?gA?X=xtMKeygH0u!0cX0gi+A1qX3z{U=NX5=i;E)nD&wSb zzKl=bIn}-VL}fFuE2gc)E9~Silqy<>5S|`?;yH3K5Uo*^qjo_q&`bP;WU3sTB{2?AD$3#I&r6|#tRhem4my+KZUR*uj#Frh~iBeaG` zWyFYlOXbgW1r2|er0797|DWO*I(hs=MnGA#!oLDEY1QBK--tIhdR%aC2e2;Cb!EP4Td?tN!ThF%HM- zLc3G?#jo7`kL1`FuOuz0kyU%(w^TFqabM!ccC~h;P|$}%F%Wd0)^H-kKbk68R?-~k zo9bFMLeFk%3iQ>K@7`EK&w)$!%ouI$D@es`=dFnY2%)K+q?1LjIw|}KG-V@1>un5z z3vQMPHt){v|A+4U6i?NN(;2y`dft5zXL;lfyU*GKCNF#4Y6$n5D2fGM*UPuX zYIbXDr{`&FYf$XXdxrBHUA6k;O|f}vYyFj5czn4wFnOmxo|9E8c&=9WzN|%8(GE|W zwCEB+I2%5vd$j>B#k%i1^1g24rRu$Hc>#5{GmONyr35GFJ+%SnOZ@?axYX*%iPiJk zBcrP4ZH$a$tXmS*DpPA@tjaXqtul?QzBVV4Q+-nS&$_yC8uZHKKNE=Gd}KyEr_>+2 z`o7SDE>8I0GeZVbimbnBBpM}s>8imCa{y?*VPE;DO-`~o-e9bLM2|58pr zy%i(EBO#b;{aN2d)j97z4hUrjqaSAn%HKlsdmkTHZwQpXD(Z=V^L?6F9rv48ufFpnp>^bM z^5^enHlK+F{zU)RO2O5g>hI0+edR*B-fAAM?eEss?xK}V{)XG038Ogq+^%?&zB?gR z_Ds@uC)?hc;5j5r8{)iekt#Frm)N}Lcsh;J>tgf% zLa~lWKA>^;I$5+NngQoaw6PBK;e06;_=`*!s#$q{jx-x~BM-C)B-i?h*{M;JX+t*S zO_uTcT&+JpVA6T%?M5^3C+ZJui3Qs1Y{@aWalbL471-K1xzpvSORbItI@u|WAE0$H z1D)F1t2df8ZRXvZiA0~g5btPvD@!m6j!Bza+1;uG8vrlgf_xr+yXYisJ-$P+RThh&eq4m=BvX*)t(=MN^yrA*2hrH1IrdUIIg&MWRr@@4n= zb{+NA9nB7p;4kr|xpS<4*Hc;HpK#fZM%0}`qV8-}QFpFC7pY^bRfcd#F8CJn2_2NRubA#+t4x1{}UBeg2(g^l+H0M{ga#<>VM0^j?K(^}2m>zsQ z#}P3=%mCv;O`*~obY&6dsOEe)jrb!3F7X)!jEN>4wH{&yrrTyS( z>Q`P7c2U%ERv5JdYA3DXkMa#E;bgSDGBO+)5f^>dRhbO`B^i(@39ZcE3J1dAb>dMp zU-@C!1gUb5nC*pK5lfPAs;S~^MvTr-Ciilwf^xWap*WV=J6#OmMA{O&%3L)7nMC}U zQ^nUlX;0#56e3<^`R7gmM>NiJwfkM9;o2AiD)2fob7wOL4pe}l#6bmF=l`77?!-P` zRBDn3X1JY2mx)k-4$l-3|zxp>gYa@*T`!44z-P@ybsfbbUa!m8if6C`=S8nW_cf!kl+ zkt)9JahaEJzBA0JUhmP>ElDC{&3{ZFT3(Ccf$RZ;2XyaI?OrDnqM(SAl}aE0&t4Zj z?262?Zh!#ULFKGvJjO~AEeFY6JX%$k+#+yifP+1%3*0`b-0qTmm0|ozh^?Fe-kba- zbYTuPBvw#91IJ5$CxggoQV&5gwx+M`9Z3$3R>8D*Qmi(tjTu6b{wyJD2a?S!75C5=lw?q z=l->yE8;D>+_|Fi93IDOPN|Ahmhp~NiVCGOoNFv-)6MSAfLxH0ip~2cK|Roy{WsMT zE2+wA9IQXF8MvxUp+ac-B~M=0`lm4NMIYfAyH$w0edC3>geM5LrCiZ}an0ZT2PF)M zaZBIaX8(Ear%-d-p?AKafyYm+<%$nB}WdJNo6_ z{^ncHtHO7ae1Ytb^j&b}FK+iY-8LU_bxdjt@deuzzws2##Ub-Ra(?>#k=;q%OU#1l z-N4q#oC%Pt;NXNNSik?N%$)LHYE_S-S4;FjOU)WX-PW9C{pk#mvI;Bktq+;qv&;rH zByQuY@MT`OL{)DQC0(Dt!fn{QvN=>SQok6l@gI;b!}&hHdef*(8J)ucy7T{I@6F?* ztj>o2NhTpf7A7pg2t)=5ibiM@Z4(A+ZZab?Fau!~t5h%~g0hv&2q;T%g3WL{mABf~ zwmz*-+o!dQt$kYAS|tfc!XgB40c~qso_fb|L9GNtncw$1_dSz<*thTd&+~kKzaM-u z=iFysuXCO2T+7S;*qk(PY<`!g(No$Rtq-BwlL;uGoB~4A*<``S>|`)`5Q!wqX~|Nq z)ngZPOfr%@<0MZJc`ohFV`ex*R>?CiIW2)$@Gr1c01vKFG*$R$fG4sa8yRC?_3Xc( z45e``eiFIco!|ThUY_wr{_4|&$NoB%o>od;=ybia;d&xzO}ew;0Zsts3t{xHW{V2( zQb$HSvwmTzAmZ2KACzPj{W6;^t zd5{n;-UcFBXo#)5#2@pfiE+wa++5S+>roKf3Fcy>XR1lkGw!EzrE4boK_ONjvs53& zeo6TI(%W!t`MSS^7SONYFF#H6?36DwsD9nt>=1%%Ba$U=_RekeT+{73O%Q z3!TktQ{DIIZ+J`oUcYWWFRn)zSr8j%LmM85uBYtvsM5r&>F?>h;;D%{BcEh!xP;cN z>_>t`i*u`eV%eWqm`JGSnsPC%^tsS+Qc}tBcz?#H>t$<%s*f7;MzE^9 zZ*pm@(n|hz1nHRrLDXe%0FFJX4!=Nji6FAmnInbBh6~_ZLT?K^px4uAY3_a&j(fL0 zuLF$hfBoXq#AItAE1chH_1fQzt}XR-!hFD5+$ozglvk^j5B#SKa=u!SHQfu68>9^^ zg*7>bKyIjeLix2yY=qnWv+14kG{Cx?4`;`XE>gGZU2Xa7MU=F(;YWf=tB zABP->!x~qGnclPKFys3dj=7r?1$BfUopkx%6)%w5)~S6)hSN*K87OUh ziuF-IROi(M^1w96c#AxoF-_fBfBysXkc{k^+l>Jr>Y(n}@bmJ5+Bw~6gJz$lTn7aAF=5;-5^H-RC%aEXaJbWJ?v zaalS*L8pijy~f}U1%~iCSm@YWc%y|T>VP#|K^+FEcnbb?cd|#nZw`vW9F#nupby;^ zMpEx@CKH;nAP@V?Cs;gFyw`Jh8pi0+&6Jpwn)Xv9wT%}QKmB|#yI}~N)8<8EPl)w_ z5qUAoeR?@)8Siw@`rK#ha*azR|8VK)Gs*_o1+UWP99>`|N@-cmH~t1Ek!2f7CO{@) z6Rvwg!DC=%>(H?3g=13o{c-P$> zIXub`=4Plde#Kc^U~Hsv2J~yGHkbo`l(HCt{)U!{P`r{n#YxXZ+{&^Wm3ovu*h8Np zx+l6$_fq;+*=o9!sKW>fc6~EU@$lFmeR!`+Z$U z{bP^#M;t@SU#~h%zUd98Lf9jGJ0E{J{x4bnVfZgGgR>h>g?Df#NrRNY?>Y7Rnfm=y z{hn37pQzt6>i6`8{28bs;9Uv>#;CA>$W&-}U{**jitAuXLTvI^bV=658+$SI15>Kr zBI4mFfI7kTHh`u2T%(WVQcIyti)rVS*S&ky@5k;7>MaVt*qc5&2>)qp%Bx+k(r?I1 ztzD6)Ma0yAP~9AwPXI>NS1?i$mukHk`H>D4b~1 zHm7Nu9a1ExmrkRM}{+LUR(lp|T%wsV}l- zlr7ZH_*9;Vlm!WRAMR2~&^&s;D61uWcl;4kGVkYbSjz1u#jF%jMx~N(=xPsF2s8GF ziYF6Rfw2k0yGFL+E9gmhXp3wm0XRkjuqP#2%?rP!`~c7j*2QtHm9KV$hl-A6=y_K| z4Nzj(w+qE7DTW=N1>T__0a~RMWrRk8E^N+0w6$OJ>!^Wl&S`glC>*HwCgN}iCBkq4 zoQ?N#e}Hzivm|ZU7j7p16S?SAs5wEdr?Ze@FnLQ5z{gy+aIECX z^})e%3lH%$_BEb*uzNZF2k=I*g~F2}3f#b^Ag~D2H7gfo1byS}{t^}jEM^&LtRn1< zVuf^n_+5#25^vlgrKx55B!lvlSvU3(0f$A#okT`lHe+IsDz8;l#;dwoxTYq;uOtc@ zw#Wg8ny*B`Yg`vN!e)@($m0iFu~$5vA07r7wdmCD^iZL338Ch}XT0+*@e1Y~KdM;E z=)?tZIx^wIA1EB9=$p%AIeh?+6jOYeue|7f0z$VLXJ;vpHV5T^3ndBQY_b4kl%yOo z?%}2;B4DOfjcbiN<=fqQcOfD5;|Wy?V$KNE#@ogGMa)x{rucm>vUhY# z?*BqQNM(cwK+EVQsZwxPha##q(?AL>C@LQLXRFTayC4bjtozh z%$~F1m-zLW1LX4dBfK7z_Cxr0HvTU@U`fw$KKM<1n03G?lTgd?U4p(!<-?ZS1B*?c z+xg&a;&T%;M|lVlvU%j*TxhqI_%M}O_$b%?>b7T;${f96^N_eO|Pe?x1={+)u!n!TKWO4(cg>AS!8xxB!lB(8G4f;dz?Nc z<02VyE|wve40+@9oQtII(<8mU*KClJGt?Og_x;t0=xgKWM%d~94J)32GUFX9V1^ms zGIFMyDM};&{>zPL>i=Q4t%n&89=OA<9M8bdg1ZwOGKGb&-5}WvXL}3s2BhtifwWlfNdT+%hr6~?alv)|fImYDpk7oKQK@OcJ zO8X1~NxfTHH#=a=C3n4hLTp7^XpFD=J#|v~I9acgtXQfiPo28TQoBA5h23(B3Ga*eayF0%=0EbyF}hFOkEXXDfPnP8UsLq z%RTSA6k+^zp(-va#dX@)9~ad*l(gFsKpW0{baP`~PK(sY#r<^-X00`i+;snFC@TR;3=e;~VSl&?><-PUl~7QJQw+CQ zp1;wLdWwGNCy#W-`zAn}u~fG=>sI<8O$NrsWqE|A!S3mR-*6KAhLsG+SFpih44`w8 zVK6=HqZHPt&PzsX9O5}dF(A7oOpO6V%bR67%z7YZs(LyH5GGy8#H2wnDdCV%cbL?i zgGu#x*|6vVN~eG@akKOX3dX?FUyhI{l9q)lA-5=f4`cUn;_uDO7RB6&fd>Q3reKVdGTOL`SdN1sgd4aUXCt@*nLg% zh3#OZI99%s{C2n1Wf0E+DmPPS!whl;bWJX&&IT_ZexY>c1)_cj;-sG{(_93lg_V8Y z%T+zUeq2h9{z06`nhb|?(vIQsdV>C*jG1}qd_SZwpqfi+E~ubB^5?Fw)nt}<$okhZ`~=4aC%yzsIqf}7$^jr3GqeMxO6_xoiBw%o-Z@KT?|mW+t85H*6C8ob{|xXHwaS58ZoU_ zz(n;2WOn3SDYf}_UHg+)M}NPBF+~wzuCI%FG9M+HdneGLG*K`O?lS>Wc;Bg)+tzXa zSnl){1SkCm376Dm$$&o)Ao||Q0Mc)ein@)T~Y z#~X3=u-i8l52xXQRWO+BIw$FH06;oH(pB`VB zz_QZ>eV#P;iXP1!e39mgCV|`4rV;rLQ>TBG2e@67E?n+-ZawmE1_`yhf7{L&Rg;SnqrOXSnCsds61~KnmSzNjPgYeao+tM z9l^1$=YsS(r5&&)>U%r4(j7wni;yj#tg*~hR739KNTR|i8Xm9{-Zfbt!odTn;{*CG zwUol3b<(FymSbtq8QDkpsY)b+H~m^h=UxV9yxHXkq+k^=%om%I9GpS4Rt_jnY*Cs= z4z9R8QE3g**EqsO9A}}VPZV5nuURy}Kz$G8JI>%7Qi*QZORc`>SjZ30Ap1C_gobYa zsXk_>@e_TFuPY8l$ux4^*<)U7I`r1&j!cieLrz*(T+V0En?us^_2lmy%C_^k|L)u* z??~8Sx3ht`k=iP zn0$(s?ycyZ9hslYwrHBGN{GMM{8pw2*CJFaw?3|3VnGq>iM)g~?e#buX}p8n@|nz& z({m0M4N0uzG>mdE0hpl#GR>DYvq)6mtPrZK$$qjsGIH_#OdRXGc}Eajv9{b1vWxbx zYTtODy=`pM#_}pJ=Th#@94^qc<CY;lUCtvA0V|BOx-JPQ9WS)z4k+kq(oLDI2sKhFLUz7fTdcFKURvg^NTL#H0>i z*GGPLQ=QWYLQhW_7M!0fF6#)dWW~^B1ve zQ+>(nEuYc6Y}3gxom?E%S3U2{9mFR_?kBT(Mw;)VJ>N!4^%KgZ+WfJn^dphCVE}nn z_T1a)q1)vrC_i%}Z`(sNBX4Jf#zfxk#VNBtbiFZpwTzE?Ww;E87>8yza--Cz=iP(T zDJl*KT5kre!ilftyVm@^O}>{HZQGK=XQD`;`xKBw#RAot_9hoO%7f?a{w0!L84x;XBlHbXAHdfsa|3evLd=O+qwu95@X@FTgW7^**| zsUoM9t;K?Nrlr}cjMl~E9$S9JYJWVxOrSUfLW;)QdE|p7#%)rsKzq-#?|4Tou!@ELwISOMRDv#O_zadHQ#yF8#2Ucp;vt zAHZ?Hih>`S+?ytw77YVY)n50j&P_sT@xK^&ecGGmp6ao!b1n9}niJN!lG ziVJ<<#u zk-Qwto+5E4{qAS$W-DEBK6i`HIk6pW%dkSN>?>(rs23&xfJJzayaW4Ub6h_6i!1#S zw}UtVBjZ72cncZAZs+;<-mvQ75}E?1L!#g=^-VmQsS3VsMovn!1iB+N`}V?+fN#NtsF&OB!Vyti@dXPGN?8HmWKJ)c{fQ%K-J41}0nBm4f-AV5P zdMV6}?)9KZ+y;hZuJJ_XpSj&ZKQdL!{S*+Vw92t6^02(@uvE##`}2X+bR}fkVvax7 zKC0)$(6U%(6h;|S2OzLK0zR5&oLZS|ZhRs`GRB>E-3EpPW8s)IEAZjx)az;fm>F?C z!wDYgsDR$SEtTDPe3iN?nP-K}OMux%zB*9s=xN~&%DbsC8RM)^)$_W~k=N=q;3YvO z{EoEfy5k6igGQ`7>1}u}MXXL+JEr#+j&WP;eQU^@xbdlXMW$|TjMli~cX zy|#)hNHyi&;~~2@`!oHJsV{Ro1vhCU_MyNDdROQct|TInSY`~N>Cv)CPQv)`8{Opo z*Y8&3epq|kWb`)fsmDoyAf)6y`pNjEhzdJG4yv?K<-3|N>r@~*s-HyFt0x-XqdhHS zAL+~wjh3Gg@^h*DI3s5&!VO;cN&O|~!!6iH(vKisiuXum$ z&&1g<%=BlHLioY1!H#--(O|o_>11f&=FDFqfN-jPxOdUx^)YRu)6+&2J*x-}bnfgN zgb|td@+12*XbR!dE2TQOmzHCtgS<$(!SQVJ3C>|j-^bQU%~?!;@0OIbUkU~WS{<%OPzbe(;yQ1M_sGKsAh0=*rLoZsObSP2q;~s^EVK2<#N;Grr zg^M1nb+6cLK8Ien<+QQQNG#_`eJ4M9S?3QJUj^Z=TA}d%DP}Rb|E!ovsu=VGZ>0=+ z-;pQ?5yT1gOQV_~>mmM8&HZc`Isd~I@!pZs_HYJX2ev9Y^c*8_lANl+KjER*+@%&v zB*4>~eOg*AIJc*9tpoZvWU-zb+3HhSy|%fv*w^TN-nr>M#?#w?oui+z)U<|=Lm?e; zw`YX~^*{p?={+d3da3dHGL%e~3Be~6pdl~O-cETO=UpGGd}bTi#7)KvAd4Jm1MAl{ z4GQPO1ALI=4PJHziuInQaG{18%PCs|{%Gb@Ef`J#kk{*xUJrUiE~iL`ruas%~(8i znn?wwGf?K>+$RCD;v2r59N~kO{g+kkYTTR+q6M9Wf|@Os$byaQ4!-}VUAAzZCsuJz zx~)`a!6&98EvqP7_k0+A;=uSp7vDDl zhr?w-pH_iB&Q0H;*;>O%sJD2`4gJ%*=t(yyNdEjCuzOX#g!NBD>yU@6`z(jr454A{d>4 z)`itnJr|we8QGXZ9dky}m(_xT%q(|pV-B0vdhZjwu0qi#h0-aPZFoQwgG{0E5_j4p zvt27$V77aZ7Dt>y6@}z1$wDV0Yl~N-6G-c7-oOmYL2KjAP0TJ2$Nwk~z}$t37jDb) zP9c;|<7K8_KTgDTWG>|>BlR#}wUZfCQx_{Zh@uONY5>KnMZsU)X*~BXFa=@_r+0#8 zbjqb$kU~LZ72_7YDHGc=FnG=P>g@s03(gW&H>U@;9FNY@#zN!)BSBlqBnAL3LMxkX z@d${;5MgW+6*xykqx+H>GMaD7ZKBXqR&${inohvJEC9n(zJS}8$)qZ{;|dRZeX2yl zmsVn|TP#ps-B*{f8$ValcKWrU^GhoIsZhK2`wZvSOL)EGZOhXT$Sw-qBrUkaxm6T` zK2MON$hnCfo#8RSRz%*=lpzYu(fHSLX8DZ&j~a`}6_vV*CSF zUdC_XszO2r#rrw8wVd)eit?4cq5-Jt6cItRbb6(lP?fq#L8OV_MuR+Mmvclp zx9y2fCta=9+(Bh~k(6#CunAFWO;xF>DzyRel3KSmaOFsT3s()TwQGaomr6pj&TQw_ z232P~L*+(%;F4N+j}-KyT3#oZwNBBOGq?$rFJdUwoPr+8eq=FlzX2L>y%uWYB3T=v z;0XFpXTD531g0p~Zlm3_(d2wHwaNz8hfKUM`9YcP>@Txmt^i|cm2iR0GrZ;1=S}Zt z6Pex^ghU}BwLwM8)HuIPL*D!_erMLX-@Br4W3JjV5enz`^og`2MH-G z3V$7$`}ky;SsCtw@jNxPuQ_US+L&GE)`1K=DF+q76-iz-{eyc<(DRa`mn;TWf=rS7 zNVpi?2k;=0yk45vMr0>}T)M_R^N@H=&PN$Tn}uAL?$FR;M56HIXN{@<0P?)r!q00%@*m*N7N&-=XWa5Rd-h1s7u z=RKQINgu|Ge5X7t$(KFSJK;C^>F+Kun&2x)g2g9+KwRqtKXdV|P)}+snt{}3s-mo$CkTFIXD&@lTTiv#4#j@K z5i*ZjB{Gga^!sG@(CpQalo@&&a-UB^wq}%dHd#}9p6x6U0YO=q=#FHcO2A4%**mo6 zPqF;F^`H^>R8g?|dm3xHzqfN+QTI#gaJe%*(7wi93U(|p9zux~p^z8rT zL;f54k8ZDv_ur(Q3H&~fYd_6M+|~`i-v{)lEebUlKoV3O`jr>q(C-6-{$9yATz15> zJOJ-czTqg^Xi%S?FN)gbB-w|g$`5)}vRPHqxkWYtuRCu56kwzFG=lp~YeG@_BM^cS zQ@JBm{DHk`rM{S!79Z?Ix05KI1Ikid^oDNkhKP_<)%gf4`&uss zLZ6($3)yZ(VMDmAV|I(eMvr{o*~A!(;ug&L|nb9UOslNRkj z@nTJ>vxyI3Jn}%MdTYY~55v;p(|4v>X;5INw>Q6*qcy)>Alip=jx~4WXwkIzFir1^ zVxoTfel!$$bYj~1A_mk+72o8IPR~I3(V7=)y*bC_4&bQuMsF75LGbu;yvLRlH$!Y} zlrh&cuf8I==C2T5-)K-kAAi9vQ~b=l59r=5P7(maTb$Xfs$iBDt3v%~@GVsSyl-TU z1H?WP>}JgDGi&4qLUoP16)t(CKRVt0AwD%gICA~J@OUCJ!y*+E@Jce z0*+W$GNWyQK&yiXcL=QQOy@q3yp!-kX6oekMSTwI&~O2;L}SDU^dA_JA4T)6a&om( zP0$$SV;9%7rid>iEpFG>RS=#oDsl-IjvK<$2}-kqcny}I41zMOAedz&$U%_93S#L> z5d8}BXXnK^i^s37_OTkY;QVVe+K`Os-P~cfA{^&MWH)!DTM-%OMda9n~7gVgvaVvy^irU|BsmkWC$5|$n=E6`Ojw3yOiTVAR`JEPL>LvbDaW?*) zonYJO8frVo3GK~q{(EL`Rgg~)mqmQ8w8**&TWG9A?PS*^hE*|%-cnt)G3sMLrQ!40 zncnUn%XXa*M^vFItU!OSNN;XlI(n^0@^#caF^xzr*zR7Jr86&lZ2W>CX{Asx&1% zv}+W-*+ZkT98|<#9!jA{`8MXr2*-y?iadTw`e20>e;@JZF>o74B!0}HFJt1+^vbGe zuQ--WE2~6$hJ9Qn*S89}z9~Kt*)Z>z_@`VSRx3*RXAH!@+e#Cr#=TYB$^Ln4@k96FS3^&gW;{>7l@yHuD7@gvy z8S3>Ug;#+4nvY`gYJbM~l_WYTc#nRd>&V7^8+f)G(Kh02&S5SbrS%h@9?KMjMxJV} z2)T?HiQ|{-&3s$}l`z_CyNuOR0)l~YM0j@@cgmM~t!FIcy-vYs>rBIn(KzC1T+VKu zJf&rw7nCn8f?3&J~`21U)}iGucIx;w-Z z%{)Gd=X`cW=3()GEoWj1mja4fafJ8ob~xffAlei?UggbuLSpojiGr(DRULA*8ZQ-n zCGny-S1G!crj$aIYu^ zbaXb)RO_$u=*JL+(GvSB%0!$t(F7(IJ}HW5L<3q&qRqWKHaBf;I_jVFn$>z2j|5>( z%ruWaKcnm4>KOx5OUGaknS(+~h(M&2n_8kJQSkU|w!3hLEArbZpp1Vz&t3A*iJ;Bb zg*R$qhrbIWB&X9?PMZ=7jLt_+%Es+{6&qD^a*(f5az&AjlSaBwi%L4g_)vwAU4GM= zb?_i7w7)UyT4Eso$hv5?{q?Wx(MW5)q-iu;r*7UfP_glu%`3>EaRU4TG|QuhZNoy) zLHKcL`XR6W95fw8(4R#zU-d~z3H(KDKw9VBbUK7ej1|JIEf;+E2hImGaDBRW5r@R6 zRDQ}*ha2{*D5tZ7@uK5*m>u_Z!EjH<(YF`)a=zc)w(9z1r?Y*jf$~Y;dj+k&3)6?t z&A&@Yt@dR91#Fn$s86#0yYqo8FrvH?TGq2Q5PG2Y+$z+bduD-2UO0mV=I2%aOh)02$AdYrk|)b%&wEe%eeqC%KWF+*mGS9?mo((vaA+?tqm9$k`Wk z_{KhGY`I$6$>P*moH~m$R+FE6loz^gHxG}T$18-I2OBMF3PJ5P{j{-t9HliBZ&$1C z(c>744xz73#olD1MSayrn)8K8`;CKZ>-S&&T*g|CjzE-!5Y}=mun-Mam`yj||rJ z-l9+30$W&JA@m7hP&sdpRmdJIy?!MvY#fdzausI8v^c*Rdd-FaLZcz;+ij7B5y$RP}@T| zYnb-mr7G;_c_ zKEfc$yjRG)D;5KpY`K%O+u64$9#Avvg?Pja&$VW_%9>$8O;-pewiJuc&ire~D#ZPQa~M3pDU*k}e+7^_W>&sc7H zs*GCGGuN1BdgdFmOwS@?is>mcCYqiVM!D%(ZImjHUQh3gV$&}-VWZIWORtSw(=X#< z*i8Rp;{V5J>47fWz%Wd|Y!BlvreF4v(Qf*i#J|V%w~2qd>2DYRZ%qGj@jqtzJH-F6 z={LmRX!=izf34|1E&dgz-v)Fv7MgyC_~)AbeDMcNf1&s*OutL~*O~rN;vZ%DOT|CL z^p}Z0-}DRN(#SCVpq4h{w1PD{yfHT89n-%;{2iu$wfLVm{q^E+GyRR?|Fh}eBK{{$ z|0Cl6ndx67{zpvzqLFzfJtNn*Mh2SDF6D#P2cv$HiY} z`a8sbwdps+?=t--#XrFGpBBHv^b32D@o9;gcZc{-n*Mz8ziIjl#edxNyTpIc^p6sM zlj$!N{~t|%nfM0c!N`KEt`_-C2^ z)#CS={(A9`H~o#`FE#yJ#9wUs9}$0{>3>Z8xu*Yd@!L%Qlj8q}f;;+l@f+f|E`EZo z)^_jp-adC;=H;-SWEw3h#}o%4XGf}#C(RHfw(>qOLw;n2%q8RsGuH!V$b3SI%#eE| zMAfEXi;WrTuFqdc!rz#MO*gZ`B%1dVGvo#{WE3Hfm?5Lh5RCNYeaj3PY=)E((qM-4 zHbW{1xyKCYx>6Pa21ng_E6kApGD8*-vfd0iW`?XFBxHs(n<1+Sxzh~!oeEI^h`@Pf z;1A3|fkXsWnSq>t=Me%tdfrpTG$0mi_i`rc z7iUe zha%CO4mVq{y5(3$SNp_G9_lZg7|ZB|oPBTAn(Sn2;)_vYgqXzPWWjJas)A2v>MxeG z1*_X8>YiBpvDag{`LL#AUZu|N(ceQ+>%?dv*6y!vUws8qD52rH=R5Gq#bFgn6P@Ro z9uya=lu;tEYqLf?ce|bQ7!9-v}dd?1__|t zbo)8I;Cmym)Yejx`4F!A^tu7o=rOqF06xIE>Hfs|;0+9C$?PWHiaInMY8%4_d0O}Y zgYCM{p|^ZL8ay7BG0HN)q~{uxTjuQpk=LG<^~Ic`r=QV(!J5`*Wl~F8g4LfevlI2e)7HFx z@BeIG?=t80Ine23;Y{tb($mwKGO-2|`$Rka&<{+E4RF9cj@5u8b?N#cHMz5%P?K8> zoN~$Bii-3eQ!B}mGy9k1%uXEUdHR1dua6A}E6Y4IjP9%L#SC%bi!D!+c}lLq?!_%r za$Gz1cTb6-b-k!2<$yUU&oL?5h`kq?mA{8y3RWYf(#oX#%QLcDf3?#Kh=j&P+suZz zCk(>xeBj57yt(77#Uks^xpQgzQ0O&G78_ZbDEHF?w6X+svtBIGvVc@u)%y9OrXCMg zqmX26G3Joa27v&;nY9JN+SII;&wZ)olM%i3X|~b1HGlQ!ncs7Dk2Y72e%MUY6TDB@>LH%<|^L8bD~?p21BcX-qxLJbLCaBCvnZ z9ywisc3kiCp6JAkXgZ|I)2^`H6HVv(2d{xpqh7mAPLM~{l}b?M27I|5>p7I$Cs5SU!}9e+`xwT>8&od6JKEQGW8BTFGS# z6%ICd7fROVqrojQ-+^(tcKwrp{@S0WRzM4aqtnf~4YveO;PMb2yEo0RU+dNHbYMo1 z2Y;`<3G+l)4yud|7!0!n(zAT~qSqD6S=3^OYTTy6nuI$brwI)wIs1_LiS~{sx(a6V& zR`cumWB`}mM}s^$ZIFfGny??IVK7ZJh4y9-QhB`pmb#%s!4CNH(?-3 z%>$Fr!q{rjbd&MIDuS}f7vec2rI|tAYk5xjTDB0%L`Y9)wDYuEcOR^U9_(OE@UWZr zCOaD4Hs`{*#sZKFLXMgtiEx&xAwJUNkFYF@%)(@g5Jh+i>-$wjMm*u%#zPzB3+whj z;oYuMyu2rqn%$0uOy*7xii+Tng+GvYuwn9ucAluYFboTUuZm}9i|2O@*BasIgy(la zc!ZEXdkODt)c$$4UTJ9j3E}01gUtB!dEo~!O(KIFb$IlsQ2jB2m$tqXYhPH@@Gpy2 z*?BqNMj@PGCcEC}TFNs}XF6%9-DK!A+rWdSgLbGUz$vJjq5CqBPoO38OxBw`@t-s9 z!sA=dLi}Q0>iHtd4y%nhib4G~VV@s8f-J(hUN-M@tn=Te^Srx;M;W(4u(#f`?@?%X$SApjDJg|75dnW`3wg(Zq@ zBj&GY(WR_;xLRZ_h_d3ybC5O`rVKGD{z7xn^Tw+*CXL;fDA)|Mk+1r+WP(M90uJw# zVws<)&F~ zRJr;dn8Qr;d&wVCi{q zZpsmo5P^z({xQ=p`{Q+}8WQ-J%v3%(B~Xln8V~j7qI%pDy}r*VPGtm@my(3YR(D5#LrRDEWSsb3ogIjG7P=$0;tcr4tXA8(5y?&eo#PT9gGO-6#CS2dht#KJg@7_S-@YwXcg+$-A zZ+z4oOugW7zTr8z{@b{rK4|}J8gFm2VkP{LgpbfOpT}hxU)pNE<49p8k~rE>EMpyK z*8ZrbLR<;)#mt918A+_lg^Ej`f$V3)1N(4BvDzJ8{V-}yUV!2#=HwCumwZL-l>wge zKdMK-aJD4%G_JTo7?i{ZQ|5)mnk9O~qO^yBQboR)Dss=4Rgnd$B6Iw(E;&@04$E8m zj2fFq&Gj`IF2ZOb_h+@R#P)#tl0F%itFIj}W7>>97`PSdf{&2d6I+jj?_p*!Hm3sF zuVUlY9JMSqvDj>Wd!qh^(cvslY#AD9TV+u^Jydb9dl$cw--ql`v+h5XR%|WboHf40 z*&vTI<94s@T`_L2^INa*QGdfY)Yh1}H;|jLm$x;c+IsA)YttKdkYPh_(rwNfw|m`( zl532W%dhJE-)50pXO7l|Wn(j`^O-CrSq6jo9}`r)+*!e=9|-0!>atZt(S^&j4sdZW zIlxv!jrY#>9NTvF75^IT>+Ho|y|9Q#me{QnBcrTFsXLA*Rqoo` zMcwhs;jvn*QK?5(s*o?#dW^ch*o18pMZt2XM}PQt1JJ1)??>2AyTkr+2y8vk7SrL6 zhxJTLpvM=%J+1jn78oXIt;gO*aF@|tH5j$0WdHXguiNb{XhhXwxe$Uh`@Y3ZqMXzd zYjBKwl%pb0yh5orC9h_0?^cYeH>2P5uBI#${-QBrwN}yuLDk)|Ahz|gO!s*m7p`FY5wqi0#PomC@7{XD??i!gJPS_;J@jCH=vx~pP>Z~s6~9;CeZDqn zHOL@bqEh<*W{hWQGR6oXKK#wp7~jwxCS&ZeKU`c-19*KFpe`WKe1|rDveXwh8O%Px zkMV&_ZCdzpPqbi4K1XS$Uw(_+{0i=xI-EoiO#i=&J^3PqT<@?(3&fc{ta7{Y|*ehJPopyr@-3rw#q^*OnLkTt2qt z{aQJh=2yWF`GT80Psar`S8)pw%_SAQ5rj*LC|GSKC|Y8=nYH4IZWF-|g-O7aT@?il z#iY-Kkyi>V_$n@1Eh)21l9x(K{#@t-F^0e%LY>bEwUjK)xHwJ9DR{~Z&HE4Bo-M+n zae2|VBvO^BPvV{-6>Tun7p;->s!g+`O;pwSFask=zD|_1rAIU3>*eJVn|=QkTh!ab z$saj)*E%O2u6NIBvBkZ-u?1-qQpKO3tQE-Ult~W!rSyURGDLigqBSmKGEmY(lL)wI z4oRq#GzjjA$;lUtLUQN@KZ2eMiTf8g`m`aMyM5hol&?R~TW+uJHs^!zN+;a=*N@<1 z-DR|_^8*eyKGuHZ-oN2}JnJ2j{sf`=B!_H`Ng48+Wv*Tnyyv?!Cs4Zc-*~U<`~&H% z??-pX-|JqZ(nXiC5MD2?EhdlfgzsF&x(Q#Y48ClBf@jZRhmD3MB*5)nrL@Nh?C*GVb5cgSz6P4kJQ?!WMJyGIR-4dNS1hI18 z;->oFo=XJm7}?CMCiSKS(uYlY@0T%Qi?nF}ZK_c^M+I$hVcg1Jt()2SJ zwKA&u%gq4tg-G~n4QuU1;i0TtuA0D+o)W(!_6qwl=v<~E?WCk8VISSOkNi!nKy&W{oE@hqJGZg z`@iG&vbW&=+##1$V-cUHGCy;q+0sJ;Osdn)0-LQu19TcM!6+jaIh)~yI$`N$x(HwM zWw7UtmJ3>e@HOWvF5|{a}aJ-C_+g{ygUIznju5&A+? z_Eo~s{BC@Na5Qhu7^F2~QDQgY-Q3J@P45fawMLVfc@4v(n3=O1Z|$2XI;5ki%st8NxvUJFJO9TKVXo64wD;l4L zfb^|q3QrU?UIosw%LZ*Fb`#`;Hmt`c3Z{&b`>DZjhp#c#V|~Cfk5Y$MCq_6_Av3_> zDeBlECd$l<)i5C;?i4~LmHv(LG2sUjf#3bAPk+Jd47Li5Cn7SW2^f(dFy^Ul`7DhT6|dWbRy2FfJdpvz2-+bd-Rh*X zVHQJ5z%{>;C63&{qhu5_Q|L;2)t5NzqXprS#?P;ien~~fpYXz5iydqV71dkd1xmi2 z!o|YcA>%*((;Pu(Ll@8!X>)PZnGwLoNUUfdvLQiUt0Nsl#WF(huBN#df<7>DvnQ?W zM(5UB(;Vqd+!E@k&EtHgT|4s0#!qY&$e7H1UUTuD%%AOLuR&Gc7dq%E0sTP!SA@O4m@ZkNECX={i-HGd!%iEGwJ5z0_F)2)0*Akj zOf~ipuq8WRQho8EW@$1O-TJSjF8M`RdgJY~f)+=(=Lc>afACGYgp2 zgF+jh1Y>}6YwlMRrTFz`R>xKp>7(1}xbZw+XlU>!4u%|1n={jRkqNI25M1ZWLZlmHWOn!K6zx*oP{@q{tJf?Q2dj=tQ0F&Tj-XM>{{((P zpDy^j`J=#!pT=S3%QCo2-)_9005L&FE4z9R8h2`*e5r^+ir{m|>2t#m@sob3E54 zx>*N9UOWy=JQ}(J69^+LV|0VX7@g&J;?FS+(`8_ou2Hhl8yO>G=0XNsZ)}q3bmyg= zW$z5s>)ZI;l)3v9t#lZVd_$77K}S}@rFhQsQ=(Q-65;MXfw-wEL(hEr9g0$nX_q*+ zt>GO8EsrNWko%q64r_m6LeTN{2L;toTwFV1zbAGN1VL|Wtu_J>FmG3@w@Ze))qB=- z82qz0)JB8f*J71Jy|K!xMRP|lPh(|z+|Exei}p)w1m~u&2sXz9+omyiYTf%Wec4po zT4_%!<+-DTq@KpRGCQL@G}LNt#3`~!_6*IbCwj2QeF#Hktb}s36uoxY%4=cH&H(fI zVHliL9g)9;8Y;WycVy{Cv6X>UBMpdmP}=3zU^+)$G<>Z{g)FlQnMxsAY{o#NMwJoz z%7yux0T2hJ3F9Rj8$;FYOlBLSvW2s^XHs@!r9FP_g$2}00amtl6ik{;KE-b0(8=9f zY3~KsR%gud`KI5fs&;N`)pYC>1mA7$1TO^-n%&uKIMDHX?o(@&yo;OigPdyve40|Q z=Z|#GuZ^zzfYDp}miEkNySUCD4NiVQpWi`k;kMZNMDv+^k8{_NXz<4XN%V4n zMbN`FeJMEe9D~yJvJ^v*v%yas+Uw%_?6(Aejx^7LSqT|SG$79YT_76#1!o9JIOk%y z6~WkbQEi8S`am>%xYk?VXC>F@KAL_bZ4PJoqQNX5Z-G&-Q!6!^*+`yLCW)fripu9nPUXJjcpZI^Vl z*6Tj({N_!3|7jP*RkZyaSk<4>;!>KnOL#6j#jp{QSK;BcUi*Pf>)sDv%KKv&i(-h3 zQPT%jvg=eb%zjETZPR*3ILBMQEQ94(J|^@VP5(F$n+=2Cr?HGLdvx?&wQWkQpM(A9 z*fRRMFz+pG1aHZw=v_uJKS6H4d!4`I7L#tW$z{ML2ZeMuuc7k%nOW;i`&x##YSjG*cKOpa?N7&mhMZM58XTMrYt_}Ou?^20ha|aD> zuI)OG5Ix`f8I|BqVORX2r(xbpD6_O5P=&W>M+}PX7<%OW=GTVioYs!K?a68OmmG_( zqgd}t;daV}B0yd$3H77Urdlm$H-hUgN&Dk~9`8$PwV;M(Rlc^dBaz@GV&iFBJ=7Hr zt`kUa0d>oC?_Zgi6L^P_ReERvOZl=MB4{f>UdujS(eDx!klqp9zzP$cek?<-L+^hUM#We`4y4>t>|?RsS} zn{jD;#NJF>ePRQm_>dXU5Eq?|G2GxUWan&pjuRLmp9?)YFLB=76?(4RH^GcbdfSWhra!24W{=7%@ePxoMgHWo%p0n6Vz;v*(Jqu9Bv z56CeqUr+b2@}YGK$AP)_J;}B2QENXgYu^`nkG22q2Dp=Jws}k5z}g23|17&eU>DVF zh{~Wcl5B$6<|a@ZK>M?$hoMbYvh0Gr)-E{8`d7Q)XlfUD?FVHSG&9}iF7Wo;1vQMy z!8Nz(^L}{#MljdEW`9Mk|0Wjv`Rm_cUnST7Y}WrKbZ^kqsMlQmE#0es_C;3z>*neQ zQ)c!1Q>!2Kp~=-hJhl3<)&0+xzc;n~mBtGIVcW{WTCM9<7AZ@0a8vinjo+YFzc=SF zEq#|=Bnw|H_wLmnA1rx$<}%m2TCTeH$4u5Ag#VynUTdi65z&aqL=C7d4}O2U3&J&e>#Bzo#)sYu+zX*b4q5;5WWw1 zS8_hE9}Siq3%^M-<7_l$dCj$2*9j2wBW$?!mrI_#N8Sc30h9nq-jZWS-jj?Hy#cUc zW{ZW2)3C^z5zt@q@?7<;{WJy}-EWays_Pso>^$qhg?K_qLV%q$ zwU4Aw2|cm#`NVtNpUA>KU01~I7UM!F$rV=U-NIUP02wo|5P_Wj=679_VhC2cJA~oq zzc>Tz2R!ye0_F8q%7=9auAqa|LGkDt>7COI%h3(ql8*o~&6s?f{Z#`ZdMQBx_e*u}$xjx!YCUO#y|zJ~ ztBz^)Z`=LOXIeasGwq(nC53Q+2;mi zoAbBa+;%k4xnZfWTIZO|U)^Q1)eR8e+6Jy3v0Sf5HFNy}-Nxw8ouDHH2F66b8o303` zKj-J-Z&ecdVKV<<)pw%bBRVS{kwZ1XwyApmXGF83RsyxLf5tW4#xJk!6k zSYg3(`>pT@oj*}#x*B@w!&hD!P&U_Ln$JKO{+;{eyTv zvbxW#dmeI%$brFR^|42PYCHMZw_#rKL9bV2z&PZPw{u}Ra-ZW)K~h_%oadUmYduVe zt(}wAM`C^Ub|Lz8y7}Y~Mm_*t`-ka2lm0`Rd}U-^e)`H+%H|;t;~f|}S~fQ=^qjUi zXdCBPnK{mvcK6RjS3p@|{7u?DS|$GXWa398@k83?++q^zwp#H4l z38PkdW>HTW(ATIwU~&e*dXeZBj$dC3nNx|zcR`vp?8#Y zfI$?OinZg0yyR7%+2*|3|0Ng?;7biYV3cT4wwp%inG*%J}+M~XQSx;G`{ zzx+c1sY=K{CB@uIAFvH231=i*mg>L~8RxaKAzZ2hn1-31q05be>Dbd#6~L3kBR=0# zaD4~0`FVov7G?hhAqv2c5|QR--=#INnzC-FE()Q{cOr|f-b0Srl3zc4_8h~Ul4E|1 zVM@s{m$7#t)LYWce2B!lFl8XX-Yv8~2juu)5^3%sOD}^^INQ>ac^)sHF!C*=O<%;w z_aD+g#mM*Fekn5AH(?n|lCaJvqs3RtMD%3j^LFS}`RsgNU4k9mtbC*1f%$NpUf~dW z9sGOrRz1~T$jA2^mL(tox__$rc*DQM)W_p93I$|73VBgIkG=z^23UjsHg-WY2;NZB z3XE-iQ{8(UZmUjnr4Lhk;{^s`=LCNInDF>X1|wo}b*)fbUE5@a+#Sw_-{SF$x&WBrl?(0kV3Wt2cnf9yh4u!bqbPYApO}Y(AY(HQn<>UyDSk!@#-vC-_4kCx`fZ=y zM|1<6(@ORLFyx8l1|FaQkut)o6~|h5kWbIj>epu4Ccq~^v0B-!nKo1Hh1qSV%v>8K z?|z?>OU{W+70~pt@1pg(@d0uK%9oPiKIu|*7u=2?Bmex~Ib>lHq1r(Cl8iHPEMtfCc*uZpF(hQ&2^K5rUzAa_xc{8X`+phY$d@!TISl%07NlVJR zThb};AMp9HEf^gWzm-azo1ocqHm*tUdX=XaC@~M*&+-mbH+9z%a5p(4D+o0g1WyZn z%nF zvk$`|m~Q;yw`z0EP&P*o`%9kp*=H56@HAcpX`c4_o!%D`1wYCc&>!xD?GxkMfM$~m zS%~3}003nySJSW z5yDY$KRs4ikM?{rc-FZ!N9e0#om<5kU{MB35u3kdV?&QPx7wZC_BFre$Z2z*L2fx# znTS6FS;>7`bTsXbKdbzvitx|13A;3%wJbbdraE(R6C-=^goWKb^?NP9qRRwK(#69d z4JtGCzjjVBx4D3pJ!2}2C%+)3%J}XV#H=>fenCvBar+m<_zd5LF)RgX+k9h;6;qmQ zo5U#9ipDENCQn`}N;+iBewF1CX(Czs4#5J9vJ1;r{T6+7VP|B*H%>4%pi||zk8Omm# zUhr9=@KOxeZyaRs&ucG@P8DSKcI1VXs|l6YBO}|2I&VTvtn>fEH4s@hAH{}PMO)INoKzExULZo}HB7n_ zS%(z_6hzKm5m|Q~=1Y9lFmfnc2t2CGg#Z_FlW7Yf+h~5kEa<$>(>$|rq1=sS zMKn^K!X}?Z&xTgWrch(JmxEW@0~G2p@|YB|8NaroWP$Si-}!IUw?U!!S7EtxEq9^i zhAg+xSUSKuk7VlKgJi>07rA?YC9`R4q zDyMj6Osh(M2egUaKr)v2Io=tw{FUBh$SsxArp@s9r)smzpj)O@&GJv1nvAAwe^6p> znc=OPHe;4mD&++IbNy2%b$`$BYLz{5(l+mmNjLY1pEi4vZ>o2uRq`z}XKAx$r>e2t zGJUod@XtzRxTSLTj5(=RQeTxeYnFFLs$sWygMJA}mT=3=X|rc^cguE*#~ak9dXmw! ze|A9iqjK8RSu>`kM&y<`THyS8W(TXtbxW1MN~NErO`Rg&GrTjsGv-Y5TQ%M?dG^%v z`a8=%E8v}HyK#0PAoFmuccyLXG_EcF8~J4oSnjoz(}GoeGkjhT?hI|}B(HpHbN#{D zLBgjhS7V+uVk!gEDyPUCkj8Rs+QeydxriJLlYss!1pJetkJU(hRqYqL$M(ri^T{kF=Whd-Y! z81UEvRYCq{+O!)zHh*xEbi*djB*H6ioM~G+_DgED;;Pjh44B`66-#Y_FV)!=jILDy z{-t-A>2U5KuDZ6)R=KF=o;9O`3zjXD-No8pu(Ep1=$mR5*WJFLn$mm=?x|Te`liK8 zmavi7ZIz>gHqYprY(DRQob|Eco6Af424UVP2!>YAE`b*`lgRxe%}Uh1+E2-LW{hIUboq^|}@ z)X?h?4O_l)!OF!;*0_>k-SMv5YpNH7>uN4+-6Eijjd7l1n^if-b|ZgP6ZxCT-wgi3 zOIJu4Rf|_pBV#j%xn8i0R{_>pO&ZP|h)Yw8x)QS%+)Wv-D) zK<47#jGEBO#Wi;`Y_4TBp;gOQ-sM`jAhf_WX3Q9gzTltK#@b4jSF>zk%|f%hRVBCE zB=Jov7YpokEf0rQFas-V7>Upql;(2TY=Rt)tTUTbYqgt^S+c}cy?j|{!Qy3gE}M7d z%H=CvBNvV%z5KgLn=uvmG|n}1O&w$HTC|{!#@_+xyt^hf$#rA8)6H41%RgEBaNoDS zsybskdBdWWb+(bN+Lg5fv5W`>&bV=j?sbD(d_AeDCjlcDlM|*37KAtywd(X7<^i)aNTMehF9e&GR82 z+w{`w;~$-W`h+7M{iKawbyd}b)>EqYjJxp!hrgxrQ{Ax%xlsv9)w(Ozn2fb_bRz;Y z=ahG8EFPE|FIc_lbeoy9J7eeAId^DM7r(x5$#m(ZTe9WJXnwe$GZi?)oa8u{X3V?OYmmmmK9^~XK>+pIr7eA5^2 zo0j<9*$Yql)OVJ@TGaippO5mrX+mFg*a^Yr7hgED zdg9A395vqM8-G~)cj)6QV>1$C^dy5ac6@C5tjZ0s4Y*gdwr?am6wJ`HN=c_8)JoyOv z+&Nvb>2oS)9kszBLX=)n-la>AR6P7<$w0l2+7PCjCBy;f@!Fc|<#j9sQK^oPmaZsSGWvbJ-K zM#zuZ1#Fl@FuZQf%9V?1PYp!~g_{L#C^(dVTr*#OTBwY!u}%JTL0#RN+L~C++Bl1| zRrRo%J`>4x<*%(dY0dK5nkBJR#BjJFokJwvy&w;g?cZfA*pMSW#9l)8(lj zYWUCh^Iul8Xh}_N?dsZeu<}oZFIluQzG6A6^n--6;;mj*Q+;9}nDkcKwEa!sQfe89 z5Dc$hy@Dk&E80+aI{!u0Y#|m^hdL-&zWUnbi&lhsU+b67zb?)YSh~DAc0%o9p>X!RKrWC>Olb6?3udZ_mT^WPnZUYnSUge+aU%!9Wtf*g3L)K_J z2gBWl$#J$QI35oa&WLd$njbq*xb6u2{y$K-**Q=OG*2qtnpKMztq0#m z3=a&GR6&E`YgR3<4<#m6FkCmR%j?)Xr&13IudR=z_G?4RryJ0i*-h8i#2t?yf49Mn zkq>Epp5=NUE09?@x3WmqoSX z<#p-fF7F}f)i7YnWTs(XG33WiVRAYUees$V2aI3q8%AQ)t7~g(R=7r_DynL9-b9D8 zm5Iey*E0*CwEUvja92*3tqIfrQt4f|%YJA$<{#B9t~$Z+3X{JJKLG#oVE6&}+w^Xo zGIPEzRw{h`<|JXdCF>f-=>aoL0&;`OTE5gQ5|CE&&#+)E6kAm9`(w+n{?r*glBOFK zWtJs=G$N$^EFO5$>nJT+x`e*Vg-iaiwoLi1I%)mq*U#20#m_}Z`OP|w{GIaj>+i_A zwxg7+15Fe8x$FMLuJZhb^V3;!ATTz4o@QzI1bH}CseX->&ni!|mspH>4%MwoVr`FD zEHxlZg<~N7vEKiXcRjpW!Hjw|^+E+hw!!L$az4ejTfBeG> zpI$gupGmh?oqp9Lf0%Lpsa2(i)#co}J*yyE(*jaa8<&nYi2XJ4<+-}d$V>adfJ zv-_~ZuBuIre)G&<)}FrR5B`3%&y|1fTvL84^M|knvAYoL&nY{L5!hI(+KOUb*fH3l zEf^ARGnc`KF%8Nhz&`V~x!M*S+;2CGWPVP+7p?i4JYg77FCUHz+DcL|DhwQsOl)vJqV zprcAx@#@ssRk6=OKRjKfR1 z&_H@j@0^Im8m+d(DuaQ3qi@<(BTzeGYU%ClXgfeUqhlMpx?0a_Co*Q<#u$dX_02Ig z&Kw}V%O}}_#jq=hg~`~4HBZb=zDZW=)taQ7?H%pSJ*}9K+c8vkQ=Ro~YML5CH;vDK zt?lPFwzW3dI#BOqbB_r!rQF<_q)R)gytGygkd#XLO{4QN<`+CH= zOO2vEGpTJi6063v_1&F%(qSLJylMisAtp}39Z^tUYm+mH)K;G8*o>5PVxWhwva?Zr zKG@%yJ7;$%5=7z%w7JdZnRLe+%1_;0%8K!7&pNtPc3h2IxpZhbqrO&YNQ^F86R~LI zK!P(@qBhZC8c&O)LgM&rYVDetXhY1Jf?}chsg%rI*Qn;pK!YP^oIbS0XfHI1YgeXB z6|_bQ)k3{YnBRVXC%#tHl!~~1`)F%X+UCx)wwS{i$3{AvF<>`y5}+A%a~89qRfkEc zADX%odb+^)L$cZ$*EP4Qak_od>6`J>)xBXu>-ttz@SB?Hr!BEy zoDMhOgX>=9JMlBE&+k3`m+v`GE`RecQ-5XG<8wz;eW2v-6P`cswuMi1oH^{tvM(%r zjnk3n+7}mA{NnEE`!Bw7;iS`=j{Vu{?=L*uEZkqQYm+x_u4;s5C!mMQ`Rv}UG~+JB z7jNX)0o!DZXZlg)vyLiH9Rw)Jf2N!LaTl}9`WC-?pwR;gGI`i6s*K=}0XIZX?umsi;T zSns<8L($2oBvm=nn`TWnEi*KVrRbI+^&E&_>a1FIydIv%R@r0jt^=?PaXWDNmiYo~ zrjS$2S);q(GnC;w;O8f*iN#}!Vyj}95q;87oXPKqfA_IX=Y(+1&xK>8 zU9IPG)61qkaQqXQUs=5|t(>ga1iDhuXNBU|C7Rc_qPt=zbT+10hUyZEAC|=Wj<#lI z7FGs<6gGZ_zQ{l?q0xX74n;uQ@gTN_VxV9!X;TIkYz1hw)F4H2#vtO$n906}mi$)wi%NZRu!h z3MSO{Hm1)5@JDLaZ)E5M^9k|SyNBIfF%vJgw39iXg`N{EzkP${S*p6W+8$!tG6h*1 zw=GYqmF&3m?>5HlBzT~t2TqsLgNxR)+G@-wn`RiQe_C(WBV+8jLL!zbpFfqP3C7d0X#J^r&`)Yv@JFd1uI-Wvim}m8 ztuVAd{YO_+?K-bu0chd|px(0WVzt`Tt=qbFECeZvP8Ib0bXG9ar>EvA!(xs}Z4$Hn za18!IdRzWA?f(6&SmOp}CT;#0m+Vxn%*eQFq6*@0SMSB{R@abJa{NDd^37<${)eR` zR;v@=0>2rwapt+@o-D;I(T1k$;x>+Z)UH0y-|yM&795X1Z4cyt4=YK(gFAf>5hLU$)s0X zYE7*@7gU039NR7S{(7uNcQ^K)CS`QbiJLQB{@p*H4qnrx+m2Xl(Ya^Y^e1kf+0tnv zq-e2tbK^!!tM2GZN{ux^n6z5%*(q1*D-_U`5;ZEi{Hd^?+&hBNUk zQ~lq}x3TH$2^d^%Np*lhqU=KBMCV=%EB*#>fsTQoKJoPqBb}zbuQ&3|N&~-{>A*S@gM>RW-0HXQ1E`;~EA9uG z*8|kcSz5hb7BJ^8>R(ZFa*dwpaEWON#o%0MxjCoeoe=d({W5#LwwhBZ-j|T&OO?v| z7WRD!|71^Uv1%&a&h>U7SWz)&K`dYhwWe{kfo|w%L;vgeYhx>;^QWfOCzQVY=moTQ z>L9^4*fnCZI~bR6`pN|XnnXVPDu*HRA2;Fy))f5ioIf>;j03t+ zfc($xSe>-;RZwd6_S$r_G{{$hi9tt5R1f5<;3%Fx)80Gal7`Z+`L2Dxs_PuRu_~ft z`*fh*7F$W?sqW~k>1j>IJ3H3%!V`0`bjf<@zy{XL-z;g8HvX`4uJ4jH^-E{Ycj?qU z=cpB?EtJH$X0=|I-S$*=uZO??NdHE^vVXE}WrIngBOAP4bPwN*WhVWa&c12b%D`d6Q@fVEahccdJxvY{C4ibt!AoWUF zWMUnNL#-SoI0kg^e>d%~iUT!Bk_qsh=Vn38WYaa*Vn zw5y#Yu0FT_SBea?MJ~li%MJss3(#o#WD_y{(x)ZUh_U$j%}M2VVEIyR;eOXV{C2N~Pd$F^AMFDh zVq03HYm{fiT z>hBJERr||oRUO|QMq8-XY(___)@n8!d^z&5tO|-gdL2Zc^(;tmSw^<#r@u2zm{QnjC3Fp*g+P^WQReb*GajLzdS|f?x zRejq+I-Q}`Q7gaAtp?YY3ie&PJ<0?9_s-=-xmy`kxzTxEXZ&yuw!Gzm{(I;A8>!V< z^n=g2D}#5i{Aqo^fqv^SZKqmB=i&r@b?YpkvzyM8w#9Vzv9p6sqtX~|qljk0(>uqm ztIT2uf6V!Zn^1nwqTGi2cBX{$M_qW-`HP)@_iP(~l=C+@|7hnI=Pz~sZL@6rGUu;y z{_)P=KhuU!aQ+78pXmHi=b!BSj~!{_PjP;6{+RP`d$$dr>ijzow|;w@hxTxO|Aom0 z=ReQIuX28Vpxiw3o&Rm;FLnNvX6);FKy|_f(?=&m(|)pAuUg*CUyPBfBUMMFT~V&U zwGIhUDY2!%>Y77mBg;YgZ8Q?Fng4Z1s`??EOAYDlx^*ht z^I0PYxpAIGnzoL!6y}uUUdG=7_;2EWT_O5U6LO`0N0NfK+|8eAKTFv{4fGHDB!9CF zeYT^p=YggVZ>1Zo|1CjMRcGq@Q`gr1vx>UvnlqEW+UUxTRO~w9==wJ^<|68^V@~HX zecp>(*NFb3e$|)$v&gisuKnzzE3!`VYH|Lh#MNHX-t_xPgWii@cPKv9)(885DL;2t zO?h?wujSObYq|XLSlo_Z^V8DVa#+8%hRxT{NBQV%rZcPR)pUK9LTL@q>M6O#>I%?c zC#O&jZfEd+IHaD~LE1{nuPb*yk2=D`el3TVPxED8X!7&^Ta8cjS$##Zvg)Ukz!SfpDyyQyim^Wb07yuMjaZ%iQnt>QjH(7&1=`Ox6H<^*;K z8*x$hS>2d2vAMJvrr2Ighc8O-y1wSYZxW>Xw|QM>H@7T({_kyUH(v79yafKrTi~hu z)Q&^?Ednp)BTJjt32CH`qr6V{{`Jz%*3_HW^)20!)ZEnG93a$l`%Z&b@|LW= zyqK zg2f#@Hsu;dYz?!>T&Z9N;l)gxE&pi=@GeaKdGGM?drER@aY?G+IjOWx88R99e3{f%x6D$*XQrPXZIKG z{o;N1f9cD6zVg+tJ@DW|5BGijk#Fq%=A++w?D21Z=ZWt=`Mv)Cdg|$Y-~Yi6pZU?V zKYs2fKmFOj^Dq2-|BJu)==sMiIQF>X-?Ol)aou_@m7mqpdiKV)P3;|tb2__{-RExZ*>c|dPCw)QXEq!> z`~&BI@PZHhPuKr{I{$yW{TD5+UQ)C4gk{U$d*X_ft5(NPs;#T%`)6xUJ0TghzoyNJNDlFoSBRF8&Wq+sw0^imEAu2; zQP}4d_)Ou}#OuK{|N_5Wg z2=WWky!>p*uN)@%6}b(mHW(*z6VP+EBSVd9+nE zWzVgMl$$iTd&@+=2?XmAqc?31HV`adi00xoV8pr#2*wN2yz*=* zcjYNtl`X51TVCrT%9Emc%Isum+br^)jf}2wY4+wyh$hHZ50!bnh(Rz? z1}a77%@cXRl{e&9StV{hadR@_deib{T1ysk&HA9Tus^@gww9HPeA$Lc>}6ot3EB=i zrr0T0X43gJ=ukYH=2G75sMK_3j1?F@AzB6>(}t9@Ov}?Wg7H?UW$M#5>|ZSMCXjul zmVle`ek$U%KRaywj#Y6}|dm>D6x++_GIuuap!C*;@i z&{jd37t56xZCKbzU&eDy9s24;{s=swJVxcpsJ;0zA~{@g>hmNR<_*u5;T1XkSq--C z{U_7ZY-`JxYu@?D8ZxjC86droUPvE`GcjK#5@#H7iinf%@(9N9hGogH#hQbd`Xtth zdqpAy&Z2=4{dS)3+sK(h8}hnB+mC#kvLsB?egTHiv5ArHtH26P ztM%NM6Q+&KmXQZaYuYcIkC&G%dGvE$UvAvUBbKnofPJQ1*8L~^ed;gGmD0Ui(W_TU zUj3COUMegvB6-P=%FaOgvI$u-+`CM4jQVq`Hyj#rnTPmzO00sgPD`#TST@4Pbh!*EaYJ6KHv)V>lmfq@|udn^!X!Y z{*H)LY|WA*b#C8R$lN|k#@9!AQ8I(4wrK{<%SG=$<@ElCnD%>_cl`XEPS_TpdnI{N z!kkz_y-O;h10(zGd^LCx^}QHf&)USu2zoF?)4Vfip6X@VH=lVizgE|DJeOdv2hLYM zCJk%a0L{)B%ope?)($33^uv5l6c{vlBZvD&qNkZlLv$Nw%B3RD_`GRPO_!o+pOQ8w zBdu4MD}}XrgSi9Q34flzrYt`MS~j@)qH9C6vAHr99h|RiSf3{kUM6zc<;c)#SFg0Rk0>${MMiX=rER(UE|KSey}DmgIUr7mHZ5DG zkyhIvL?`Xe&oie3d$kS5=h9Y%GO8Xu#TW~QnQ@dHq3bT4WBQC9*d8hOhIukf%dF+R z#p=EIeIoY*QQbe8F_|ktnl~noJpgkybr{3`Y)nNl^|0mcyPy8}Qg|&Hq?vr#FQs(> zeP646&ph`P)*HYTn(uJdY0MMZ%xyusNk7W!uYs>3+h1d@s?&C}?yK=nGk(gmBg=%R zX(H;r4v4xm>V6e?)30kwt_e@kRA26igwrW4lXpS36l`S;){`T_avA;EGz$G$EG6tg zN}h@)>^MN~eVI?@$-sl$vwes<7#TpPLDO|lh~AJZ4fVP5ZXFLp(x4AX|7T!Ey=@P5 zM;;dPwtjWL4ZN;(kL5{hYeYu%WXXvA1-UKPK( zy(j1^^;hIeMNb}k?BOzYSB^xJV<_8%a2%Z*o{30wFM7MaEX2>7Um)`z%aX(PWJ_#E zF6A1=x@4?bmzX*{DKZn-rFl)rlL>nZS+f;LKJ%!K@n|62tTAfY+pvQ7jwqBPh*L)0 z%4)|9jvgrPFX|hSC~PQ*TbUe=TrjsYewo+p_wf*kY*!&J`@ zRzz4%W*F^L{(ZhF02Fpo=6QuOZ?7j)*q4sSRx_qPM~0I}P9^q@Ks>LakTp$24uj`- zcosFGt11hnXghLqT)rGfpG~9BCeUYN=|{C?c(V#+)}DyW*p($?w`NO}u~)$O)%A_l zcUjEG+D@M7xA;%63ju|vP_C6FvT|#VEbGaYB`us1!)H2tChUOEzNi%L9ZO%0K{iSx zn9j%sGM1CbHnI`@naI0=Ugb&M)!hv=sNbx!X)E{_lULzhWFuLE+>Q#zJ1md>kH|>! zA5Q++O`|2q*DHuf!E4#&-qJ!@N;}M;9S)%#CeaT0l|_<&uhpN47epQgW~{YkIsNA% ze*vD;vW#NSzbhNPl_Md#>awl5vX*#CA2ju#@AqWU_sqpjV8DZX( zVKSv9PexRZV;qi>+=QJ^cE2d{bD&AfrE9Jh<6=DBJx!F`Uol6Kaw#}gr1Gk$HhiogXyfE9WAUt;i-KvOv?W%axKuJ zd?}~8e+1O4U+YqtJCv4@&a_99zZPT+ak1_rz-`K7VxCN7T~>rn%V$2yVIB#Fdn0pY zBstDH1${k_zAmS)XS^Pj*#2TE-A8{X>38&V zFr7ChN5-(;9@&THWM0#{4TvXso+nlBgKt^Bl+k`Av|l0Zmxqqm@f(a|%62d1>d#H& z#I?;>KV!?e5ZJ9e@T>bV;2QN$&qo(!GvARn<1EVDo0l9Pjx$E*3iif~x9p~}5I$l;DBO?a9nCj4^Z^td$Yz7A;e)4cS! zglQrlEb?RrQ0daByKuB8G4&6R$nZT+nD7v7*LTC|CS=Qmt>2Tpo_>>`@?4?mRS%Qr z@Mpdq&R6+9_MLEfi?gMeI_0(eSGZm?@{!xyyx9KRz0!Smc+tIgdU?say$iuM~(Su7*& z9p0z;#H&5I3<#cC1!>-dT(gEMg0ERaEzXn0jQt|kf<>$a)y87ihpY|J&n4(>e|^|{ zq9;!R@dn#g>Ylg)oudAcYS&}mNneKOW*);<5=iTf$dwTl!v}{Ar0wwWm7csGxXbZY z_osnt)UQ0)ql9R>j(DAU0J};styhpM1r_K$)@N!RDLaIHwzph#&+F6tbF#9QDRS~l z<7Cw{rLy#~GI`IQ@p9Cz2{LELL^*QnBzafQWI2>LQ<|2`l=@{drSb%s;#Em{#8_Es zK$gnbPZiUqg{&LcJ0$c(&gd@sWU4S`_F;sn{FpSX^<*#5+i2S`n1}DR?)jltOpC>m1{mOH3zASz{-#dJN0lHzd7p))Vw=pV~bdK?}cd+8`ArkpMV+bw4CUHOq%vd2F=T7J-Rrz-?qFhTa3o}7_h_e zQQiftn+hdN7Zc}a#Jfb}DR1Ivx)6=D!F1lV;mlF!(?<#h&0N=Kb)B}!&L&UJZuVrK z&u?E|i00ioTyEVz44uJx;v!>9Yw&eVRf{Jt0Lk@Qch-8WNre5XFwVkZoT(Ep+UiMz ziOaeQ_gY|u`i=f54%1BC^1|tq2LB*$uPoP`6XtKHJ^S>0*_}=8Wj)J2O6{FeSs>9i zbQiE+^IMTGEB0s03B-AihHJdcI67{i=VZ{0zFmjDP1t@*v@@3jB~5;RY9((RK$qnd8eP$!MD(&2O6^P34mM>v?X&$7mB^ugbobDU)W>hvV73ra5;( zmta%9(UX-ov5!HP4G-24A)2uZglXQ4VKRgD+*sBnI@hVKTY0^))04m6j7%yo(;fvG zH0+`(_pCFv5%+sQn;$oW<`w6d{Yc(Av>tNc9X-<6X6CTodN=E>>05JT9P6!7tha{0 zX6?Yew|nwM;D%PM%Sbk%w8`t}KJ>ew_hm14NLV`w`@?WtY|VFgvg}TDj!Db;2JUYI zh3eP3z$--4et>5V{6c9*=E+F%%+b6w-ywM+j|ZaboJ(8{3zv;LWYV-e88kCyF0%8u zH#1jeHql3w{+%R|s?T~-2R!H3hp-^c%V++pur`APzc1C{Qt1b>x_qfaPF5ic(Pa88%C7r4=S82DRI>iBjV8+8mCv~#_7V1HrPvxvx7)p9 zdTlGx`#t6wAl^n<)gHoJP{JCdi1lGU?XGs}U>wu0wbXPV(x9@j`zcQz1%mfXf;3~x z?!i9Wf}I6DQUcEsc$RcpyLH1pPr3nn-w*pM?p~l@%cF8jJ%`Y!e=wal7W;iNN5--? z7+cTYt`a@hM_Z{3V!QTj$b-*%GUmt32bhon}MSj0;i|YG{C%*=Q zcO64C+M)MV)}6ps<(;SYk|RR2vMD*-+j%!~a+s)XRr?_3(Z5sJ11b%D>C?=Z`@JXi zz}_q1r}IRT`&c0wI*E0M(ly?xKu^2IMRzKFFM4c97~ef6-ZRR_#N~V)_lrQ4`i-8* z9ZK7u6Ha$%z8p#(lgXoqJo4$+9Qrj>4%2t&7tIUMdieJcOVB$(IW=Srxu!(Tnw0;Jb(oaqH=YQIL-1zDHnR&q{QDs z&VeUP8PTah|DlC)DCs7UE=syW(&dpZJ0qPp0vWo9y|>vR>-Bg*X>%({%XNJr`K3e(lTp+@UnaVKAMs zU8+v1boY=;RsR&Af54T)rL-b#tBSHlnG2Y^kIJ8M8l;)~a*PR2&&_C?v9yi3d%_um zcO>VEtmP-M4k>9Gi7a9FX5K2<&iSmdk&VDchMlYuJ6VQ}Y}*Ld1S2^+IEQ*gv2AT7 zZ+Hdi-eHAu7`#h4r!1u(O6dn*cWT?jiz2cW*r7a5E0NQfM^0oOsbL;j$UHKS`K6pW zA-2B^+jJ>*t#Rmsv7vNkkH9&LZ`blhpa)p5`1h9*qiK(lh&-ctX!}scAk7<%jgYbr zr<~ch*ghN}zRnls?2f+E^Yhre9E7^gEVhK4mMC>y~rMHolVm) z4*3Gw{514Skmg}W(Yu{R^m!3FzNpjPJuiz$3(&9WXg_t27*F4;-`Ghx+hT1PqN{#p zt(e1FQ3C1BeV0Ax&Rtoo9ZF(OqMHlKYh-`Q%OKP6UmW7Yy$T53z<&a&&kR#@#{q)nmDV&>3W}crU+4U18$jhFal!-kz z5s6KSNDZ({^JyF}jqqI#-)i_C58wIlolD-c$omlTo=hIm{qS#se?9ywCx&>KJA_`T zyBp;Cb819}9TJf@G>;>qa>Op?(H&WwcOmyZoL9H#x`cCSY?s;GQy2)uH)FAKj6|O* z9N^w`d}^WYozREuL$@7D+XHDm7N*&?Tl#KC!(kD*0%%H74wV)3NRZ|gb4JSiTa2D5 zM$Z)YIeD28k#=CWraQV&j%JJ=fgJ0&9mQHZpRt?6*lh^J^B9{Wx92C!88Euv*)lWSGD9N%DI7?o$#hQ`w{}De!I(wNGgMP{C&0^qv@zTY%`fT5d6J zSrL&pH9svw)6Ai?2&t)Txnyu%L=I`<{fW)mE=*{Q2lc-Tn5eW;bUCz~ z*Ym=3mF2zp+<8u?_pTo<*Q3Kev7hqXf(6G|qHX>sIlQtE9S}teapGRNaPyY8w zUx2sGe|IYXsL5Z~HKSP9L?zmd&Ih7f$XDyJuaLDq=Td|z{p52aGN@%zdlve|+UeX1p+Wid_A(z_MBN-;bsv8*>p%4y z-Ex-+578<=7fM%l7-!ze&vWL!OY~e>bwj!7N9LV<)H?}g{PtZ!djr`Yuys&(&ZX!M zm$$kP2ln}O+Dp4+(%5r^(z!dl#pI!TkzgLqK0aX12=siObxSd0yfBIF20mJ*fsat0 ztr6LKDP(P5WlVrR{cqG$O}b=GNS*e=0L*+3?Pw8GS}sOPe^8uSY*sa)-Cy z-lr?SG9vZBfVR){JnUwyb&&1+7TN*13WnQxGRizzBt`ey_14a-BJx?l%H8e! z{t%sV%heGn0sOtUy59xFbsQLdjoegnh8U!qHegK#EuB_%Zk`N4%iHe8(Xwn=R_X3K z2IxkgS40}DK1YvZuP9}|;O`B*67pkT;h$aV`B_Qjcqzd)Vo&C*Ty3NHb}lPP&1GCC zHe;gUde(V>sXsJz-v~_mAobGnv#$)%j>wfGD1VfEb^HX=yYgalqEBy#$Rofu<%3_{ zF9PTLd}-q$G}=CxF15C*u(q|t&WKzFnES(iU(x14x=B-S?$$JTqle4r7m5Z)3>5TR z3$@-7VV`8~XL2tSoix6F822-orz@;H#cz+uwZM@VQ0|GjGI2lmjQ8nzFZ=UAm^*(R z^v_zoX$73ou}6L+Y?aC(KXX?LT_^h(;CmU@++*_3wc?*=9R%#s{B&!Pz4R=-v|U48jw;q&u5qKlerM2m?VIR*+`eAKCD2t+D%%0U)XQs5~W^ zn*ubm9%ft@Gp>sn*Sa3|)Mmok=Fm}71}6>*hTcNV|}TKlcG=KzS`@fCB}ZEB&l~b#-Y>7B*@E~m?aav@iJyWq}bTT?K`7w ze~5@j`NuuN865D^&#_gwN9o08%c;uGO$H*r)Hc_G$Hp?JwawN=}!? zi_7w)41HV1m@1>sk$uzl+GaoaNd#Lf{jlH4h#l`m+Lxj6Zg|y3;KlgaTL3>W=MrU% zckWF0`}MzTAR^xcCOUp5ezK6bq+uUn?pOC0r}}=u3lX^hc;H2sKkn;*SDgPqGWZhV zuK~Vnd6Nod60$W3{WS?)Gl?=yswf*6*FUE3K2sFaf3I(*y&REK z0l#lxZN@=yzBz{~_uJh2ZA1`dQ0^3!&`9gzzqOCIpkns(Cnb9gU@ zaiQ<#6c44PWc%Srmb?WF`03T&OB;`?2ebAXS1~$a(lgh>Yrvk&rQ7sW-gUklxXhPz z-M`e2#CCbVRWJ+Zdce73#a`vTtiOLo;);R;S@@wJyW`@tmEE&mK zDEkrOaEEhzOOcHArb=oRR-SEaAp^=|W`Rs-I!Pwf$7KS)^Dx1CuUKn^&8JH1*V*H5Flt3cm# z4x38TGbc-K2mCZ&#{FBsPg6FVH5PmF$?VA|SAJ0@d%Gp-#!`Z@WXoaKKfdfY%Bz60o+WPszK$fR)z1geT`Eh*o|z@hfIrve<4ywp zTxa)|Xqq5Rvkut=hW*0MoxjHYcEIly@Sa^K?^a?r4DqhzzJSrYI_EJr*Sop7 zbBz5h8}x<$TQ;@~=;vf;{V?Fm<#}CM@+sgDR|Y$mvc6{DQHEYC>$I)wkEc(vR_+6i zck!!mKi{1tXE^_Gofj9U*J9V5n@Ea?Wc-xL>*(>o3$(Z?fXTy0AK zn6asGhHuG|>wsHA4w%zk{G9}c45KYD(aJP7!5V}4JCHT$&J z#t)VbjO{P!W3Ac{job0fc`IjYemma(;VgLu_<_sEQyJYmLME_wn!ws=0(10)&XTyN z?=mp%$J}ey!Etl18JpWE#@(o=3gTsl5}q7GoDv!HT7em>J=CL&`{TvFzD6EW`dZKX zn13fQPfS3MO{gFb?SqSGtDqb+zxri;^4cus`{#o05!@u84H}=EB^Ootf#%HQh+g zFDmlO-QAq>GVD#`SYwR4H>^RlJY*+!PSdpvYeeLH68e79C_ATl!#x?kjyR_6i)fdT zJ!s;CN^1`5lDa5(q!YI@-+lp6HjijX!o3_7nGu{69Nr!tKzS7|v9R8BS zPdNOn!>>5}7l+4w+~!m1@G^%_clca~FLU^Mhd=A^Lk>UX@PNawIUKph@;}1i`3}F= z;dKt5?eO^yZ*%xYhj%;tfWuEY{F1|ebU6DHHos90#~ePw;ROyab-32y(;aSc_&kTV zIlR;1dmVnv;e8IjIi^C-< zM?5iy%N<_qaNOZ_4*N3p8eazFLzns?=GOI%ZFSB3u&{m*{@AP)&3q?*2>s~@UujM7 zndpx7k{5BmMr=Mi#&2zyFg|$O%z2n`*EZXj`?zD>)|_nC&yX&XUQK5|(WW1iUDTyy zb;)-;LaMtvJNfFnewVkgX?YXhJoA>eb=5T|`Su#WmVJeZ)3Hgv3d*M);a4lwZ5>_B z%OLPEv=_41wDT=poJ}=7>-qU`>O%%pQsj%-usLXOBx`xslIC^YXPwpD8SmtitnEoT zEW0+@c5-WHvb(WuO*@}XqdZfTwxXkBV|QXHpMTQ~Xhi+3@lp+`ZcOl-;my^2jF8`? zmfzCC>-p+jyrWfHTE3&deID>XnO)!9$p@PG9C_-iTaO0X!6!~v-nIxeJ#xO*#MZdF zqnm=tM$@XvCf5w|a>RYJv-P~pZd}yfRL2*PZNk53UZw}OB%0-H%cYSDC-mp1Pm!lw z-(`wIUv^zvGryp|LQ`lV7d17}X#4{9WTo)EUp`G|3v&u><^?}1mekT~o_?c9WzH%3 zEpVmD_;h;puWH=X42K^Zi6UL#SFuGtt8v{Y=S9A6;#4CzNo4Q`#XL0w24b7dj^()FpDT|VPF>zgYvbk#!Gvm+}gnE{z6|QMNx3#mQeG}4M zN0Rolx=xYjmCJzwn;kW@3 zDA_5}B-I_85{;eBsgg8V4yndGxsmS#uT%YYVomL;niX>^W;M07`Fd9IIX%DT*W7ql z{ATV%szd(+_MnsZdSFo5@Lo=yCzAe1;sCK(V4#=$`lk~2H1MgE z^?k&r91Z6Xz6SpVz~P+15GPI8p;mV-$d(Q1RWXZZ-BSfnY!w4CvKyz zQQEARdg^Zj4qilj>Z!kxxchR_TnUev@T-J|w%6b1+fDr%sMkO(`7y(60|tRO_0Zqv zOiY3wJR7Ks{vKs{68a3>)K7ooP=A+9e{)QKM|6;~mQ#nF_u&5={@cKJknb(T`waBm zxObB7M)=+YAKc}@0Pz#VkKGP0;x`aKM*Q8xkKO=$mNF0)C*2@%qww8^TYr~mC+T{D z0YLD_fGUkkoEW@B;fus4pN5-hmt6p~-9Y?Kcmdmho#fdI3;=Q~ap57vk5i6vV4Idl z-CqF1qmQsbU;w^-T2AOYaVPGD5A-PI>%|`@ZaE;Ird-sy4`=`efNjvq!MlN&##O-G zuYRBx*bSe)+u;jtAfIyTrN6P%r}d_;efX=W%K&lW)H9*wBEJUeFbF+C-O7P}ppUv$ zL9ZfC6>XZJK7$H`?WX)u%3cn{fhchsD9<+KshD(q(07uyTKrNDK-?Z6j-hk@?^KLUOYya|lBld=I7z+&JOU<1$vTnuan zZUOEA9tNHOo&|mlyag2QqJ4pxz#^a?SPvwCi-Bu_+kr0uj{;8t&jT+5e*pdl6n=)Y zMBp%B4sbkh0&o)WexL<77q|fU2(S(KH1K)gYrwaG9|HS<*8%Ud*ph)mfw@2xuo74c ztOweG4*-_~p9FRRdw|D*XMtY>Zvi7d$6XcRUBI!x3BbufGtdQG1Y8Mx8u%RWRp8se z4}ceeKLNw;qHe%pKqaskhy#tlMqo2=DR3=tJFpvg5O^GT7I+@`74SRY&w%%NehUhS z0;RxIU^Z|Ra6C{0)B%maIlu+L<-oPT&A{EjL%{cdp8>A{k-L#`U^*}tSO}~FP6svu zn}JJ#?Z8dI-9R7kB=BS4H-Oy3Jy#$G90|M!hy(8j+JO%OTY+nVn}A)wZs0*c7X%T> z5+q!>O~y@s?kouJLGg__tPxE2*w>gGv8oByC6)qZGF~RgM42R$Ws1bOF>r_+D$``T z947B#syUo#=-qtZYbM`)nJwiqM=JOVOr^}@ir-pxR5?xF$JBm?ykE|g2GQ^S zt(PWgmJNIvOTQa?wru1(T$}h_lzwmV9P;YZ~%xm>Q0kI9v+$+pSWvRytd*T^SWCSAuA|4F%CJ|#CWLEI=e z$xgXhZeaqtO>SrEx>I(^XXLZ;Ii|MH%iVI1?3ORcy-aBL$^G&r`LgVhugF*BYx00R zC=bcQ(kEY+N8}r_SH3Ba%D3b(d0f8Dp6vX_t;QtIp)p^!`Wfov*v|+-9-vre@s(JCA;4+d1_c z=gyhX&vkAaw5i)c0t8rFy5)(xyn=Y5;T(h;KRD`T+>}pPD z3t>Gb1KrWv;6RB@SVyO6NaNP+w2S3eL+R>nO~o?4cD@=FjM~<0n%a+@)E#wzQ?Put zY}gZ094uuMo!90PSxP(m-w+|tLgduk*45l-tu{8R=FUz&S!LaPzG`!Kduy`G`CHgb z+KL1+*4{`}%y=>awS#;P8Xl;ZdV|%{s3~5?6X2!(Kw9;N(spmMHTLuBFvc5KbXV&X zbKf7}??~xhaD-qciO%LtY%zVN-J24D5}kvUr&Txmw)NB-2*tY5-Ife?SwIrixg4!& zgs)4#=GBEo&H0lp&F!H+N@DF|H`%z!kInggW_2)+i|VUQB$G)ZN*+b_L~7A$daP>?DuF6v(vrXWP^2h7>AZq`~JdR=*}#}&zX(xtL~S1`MjAZK*Sf#*pALenJv^w2aOe`Feu9hk;xr$}|WBKuAw zkSUMT&A#6%X5Z&Vh41xc48N_pFPkZXKQ*QZZg8jk>4tz5nitjYrbV2=L5_FG7>A~< z?bpS)(^XNgw!e-M7c*TI4Gh#o2&G~rVCDmWRlVZxLqxMw!Syb*-=uh z?fe1uXXLZb(Ndh{5N zKYEPEjvjToA>%tuNBSPWlkkV9v=qS!eai28m$E|&2|fOxq~jeT>Cgg`8NQUJVsDZmhq-!7k8+z&g0iVLrgVxdInQpYUP&p_&Op@NljmAQlOZD z$&2umD5yI;bwSCPxu66lF7*W$b?OhuweecH#u=EjIHRz0mT~C3;Llj02`fEcVG;OO zo;`oc>h(yt%i*04Z~ddCU*d4D!#B9_YaG79kMHm$4);2IzQa8ZCml{Wehm)CeeA;L zJ6!JY42NS5i^Bsh-5!T`JG|53Z4U4MgRRei!_PRp!i6t$c!|TuIb7**xx+^~Jk8;W z4wpC_b-2*sJcq^MH(kDOIQ+W9gATvq@JkNwbGYAOzmFet{yv8vaQHrl?{fGyhj%!< z)#39UPCDG?aD&4>|FzB^cX*k@RSwU0xZL3x4#yn!%RABeOC63noagWxuiO54$>9Nq zpK-X~;Xa3VJG{%`9S(1GxX0lZhu1p1%;EVC&v3ZZ;XH@m_`NHS!vhZYJKX2+Zija| zyv^ZD96sM+za0|J-{kP=4#yo{=J0V2mpeSo;Zle59QNaj^S|+$E4RbXINbkFV!yod ze74aKIgSu3u>St(7C+(eV-EK@yvO0)4*UG#E`3j-O~1>9?{s*F3*X`VgZVbzHs|kk z=`!WD*M%n>_Va6T{sxDA{g$b}*1GWew`}{Za5$d9Z-w(Ob9jlvRSqBL@O+0W9WHk` zbKLpmoZ-S7Tz#kI*?Pwu-H$i$H%rg-d#c3!C+a&6jw1vGlN>yz4bk`t|NH!J3;b^j z{Oc`Ham&wUe)8QS-#sJt)P{X;zunEZ&}W*Cq5kebK1jCr31OZ za9|iv2;@1eH1+2L8dd=KVaiw2D&|+GOdhH#l*Sba&WkK)zEc6E&jZxI$oZ?CKMvM3 zwT@or@F`&B&s7eScblVc0>^*^z|{r40%6Lp_0agefR_0}hc5zaT`mSR{1QORb2V@{ zz|pwz-wf9B-3Dk~Ibt{TFN3vwPXZeLLqNkzX%uZAzs>A-eBXY%S2O=_e7p?anf{F6 zA-ehBjsMT4|7Xkd&+^ZVpXtxc|NmA0t{HZ|-{J87?RI_ge+sMo|L58^deFy~A$HK` zKUc>8&YT+8t#4}Ha8^s}*&Ew7wRa@W>Fi2&pS!td%Xv1}MF;&D{C{Vu{EWWc8C5$<}3t+{S{X;i4@UO?Az8$IqfV-EK@yxZZO4j<|EyE7c#=IA{Rw>UhU1#obU(BSB6 z9gaJ^%;74B=Q~{PaLnPT!{YEu^K8BP9qw~@m%}?9-r?{zhqpT1>u`_535Q!8Zg6<5 z!*Pd~IXvItn8Q(r#bKZSV5KeRfW!R`?{RpS!`mG0ak$OlCWqq=&u}>EaIlR7V*P*I zx#SzR9tUImKOL^^@b}tc=eG}B{_Fq#Rf{Z+yZS~Swf+=-$oj+WF!-Uc|NmZ} z_Ya;(#*^h9zs8yUP~rk^IL5Xc*XGSra=7(#rQbZ+PM*0gZ=O8opW^)2xb&l){|e`y z>im~D|48RQ-}!Y9s!!7Sbsw!yoAbLxj5ImF?$`Axb?f)Z)+-GzT=(4iobLQF-Ppr=j=U1D8J~8JXYrRtH{NtQI z>imZ|f1&dq>il`mKh62GoqxLXzd7Ib&tc9#==|3}2#zye3E}=J_ubw2+U9WSfKC7J z;t#p!8pn5{dSKm7QFD=XD~ z^KYJba>64|ud0d--gtlF-Mc>j%}=*h^`G(9^cTlpxw`D-i>uDL_J^OS9+~s8!|%DV z>dz1FT=JU>M_qN{MPI3U__*)i@x8Z~Pw9E&>8g%L2d?;4@8c(Y_2au1J@Da;YuiYdB(Aq-?;s>x6im^@a9-w{q0vA-S}T`U4Gi-&rCn#qksPKS)cvH z8^3?o!?!$k#!q_NS3Lfy>tdHhY8&=W@20-;-6y{LgnjAx8x&2+g{?M)?7Jl%qoA*D^bpF!*pR9S$`VZtjacKSK zi{HNb!sD<0%Yw4=)=#gV(|6Z#Q$PA&^DjE#x;^sN508Cr>)N~tUwG-~m)?&lo-^^OLw{WH+vVF%JLZm$Jk)o}v$tP#$1V3)ywGxQ@tw6dEjjhe z(IclX-#_!H%GGsuKe=)GRi|d(*7ws#KKR#{9-VySFSnj{%GJj`9KZOG(p4umuY2p_ ztM19Y=7YuiXa4l2C!cyO`zLoildtXDi$PDv@8IvO9U)#gIcY_K;pbrm|Ii=-7+yH}vtt|7}c`{7kRJ>v;bJ z{0(4#HSg1aUjX`XE1tr{@c?ec^MJc>E4~c42Djp?fnMB-?*tOK_1(MQGs(TgZ(!=X zdY1vOL)Z7(N=mF--&I@#==U=eUksGsR{V7!8@Il{H-gDYf3s6@1#ld6#mj*ixb?li z>jCAX_|HHSZpCAm$l|#5y}z@8(i-Xuz6sFp5G(!;u!A^?{{UQqTaE6=1DdbCBe)6B z-$PY=70^!{#m@l`;8y%g;4a+yp5Fh*-kZnOwEgk_r^(zs#}G+4RK{?SvD)jPRD^?2 zN)D1_3YmvaWXy25<{LuhDTKJ;m@{XV@gQWloJxa=ey{i1JNI6n-{bdvJbwTD{`lRa zm*;D(z4qE`t-bcz`LX?K?$1R3vT@d?pLEl3> zF%*h`C&o&ixEj(Tp6=T~ z5UqE*$Mrcx{hV0N3-^yB4Y4Zp6rS$)T>|m+U|Da`)BV2vAzF`gPprF-xE_h?A%!>Y z9|I3SGI+XY_AcZNPi);CZ3|DF06D_beZ!w2Jv{MtFZ4xt;_yCbQ+OgCaV{GTPrN6^ z)BU!u`igB!_tEA-*O7)etsnX@JaGXO4^Q_T*Y7X&L-3sB={{eV0oYIY;GQ%v0jdN~ z)c9llVqRhx^a!5rtG*1;_DDP!fc8Xs;w{Jxp6+-41}%gq_8EwN2u}=#wD5G_a7v&! zCeVGvv!P7H6R$vN@WcmDGCVOP7AvrLh@N3f%o&U}>4y6x!Kzy1k2Fd! z6ry#P20k4kE|>20{scWj|D^k%`wv4J%u5^#xxo_`LC)~RMj_a);EAmuidTb?(2_Zp zoXX)S8{&y=psDagH55ka!F5nbcT3I`cnv(!1ht1JRtZHvfhRVEs=*VRL&eC4$RHy; z(P9Mp06ei1lmbue4ef*1f*DX6@*!>vLmGJE?vdE0;E4yIb@0UNP$WF@F%$z&%#`AZ z<-)~yy0`x1D6u{1K6AIxsJk!j)dfSL5P0HA$QPdY7-|nstT7ht3r}nTDd34-k|z#? zictpQROk~taUDeI={W(Z&^>r!K4gF=rjA4Zrg$(NS_Mz69)a@1D?ty4#w)rf-)g*A z7rJM^2%<58PVg><`1k;3NS^L__n0Wg)4lJb!%7<1?u7EN^Mw`eQkl{x4)@Wc<$J$QQ7g2!C!FM48s z3NC?M;E5TK5}x=CQoze%PzGowJaH5h22V7fhkXY;JwM|tWP&Hwosa$uPh<T5GV|uo;R=W4u%C_O#v!wn)&&!`x@7uyw< ztK5g*ry!R|^k;A%M9ZRQfINlhJp{x_`|-U1@x;Z@Xn5iVC`PIwX1(xC?rUG^Nkc$bhG3fgFW+dN2#3GSl-& zJRypwXLdwGye^Bfx6@U84B=nXxBCk}*C;fd3rBzWR6C;^^$9a;sS2KG87 zwGWsM(ROVFE1VYNi3g#Dh$mivBH)P+Bu{(|1tH!9euEleyCa&P!7&>=u>|^xG{in< z(I4Q6K)ZY5 zc0_y+Df;7i7+|gYXcMF%wtzC=RbY3B-U&!7{}6o)>50EV&hQHGBNPH}0&UZ=?ZYd< zu20aP;WgmcrzjiwXJ}`r(g6HU0-C)*c@R&m2wi|zfK4GC(hw&>T6p4fBeo-WVgb|$ zo@n+G%Z68g!(O4S;3L2@P$PdlYXxMlv0QkfKa_wp#30B7Pb`FqJ*dx;`cgK&uR%2asB`huJSaI5&n5x;=3)Fndg2Nw1U?=-1*O0ftqV|3cw$Xx zA-odwffNJrY#p##5yl+E6YD{#@G5W(6oxd!bjS~$s3=C+;E6tvit+&iA$xc&xByCk zCpP?ny1^4WK#}ltoyc0K7@l}ThIh-t6Vst2cq3TO%uJ>Z#BUm)o4J|H9-in8Rf5-m z(NH2hF%?<`PpoZeCX0Y4wuZFu#7>X~UIR9_GULDFslZVX?RSWS%HSQgNJE?r8Q^u` z(6UGm9|0;WqI^M?oD<+j!xJ|`{_w7GP4S*^c;YT70iL+P8Ep$s+yceGCxW9|pgl3RM}VvF1O0U@Hy%6$MF!*9 zRiIgGv*FL# z1UzvUq=ioe(;=#t5v z9X#>=Kr>kwJh2$^hbO86kv}|f3zP;=tP_m#!xP=1ICwP}4K*5yaR5w$s=*U)Kr(pF z!J?Oe?Ill)kUX)f7JUPGD#4}DI?PLa0mZ-*Hx0!+@WgG97M^$50>! z5P0Hl$rJBN-U#j;kNz|Qbp&H3m|;Cwa_)g&0-p%}HWAy%a6E?&bca46p4fLX))zc+ z5Oe{aI1NgI*HIi4iFt|HkQSbJbPDPWPaHZGWq>Enf|T$&Fae@^5wAh(5KkG|d18^|iOpw=^Ad+ho;XYL z#4dBto>;C1oCu}j7>THdG7wKZ2VI9Jrb9{a#ENs#=J3SrPz*frBoqm60PD>Y`www8 zWRJc?JUSo80Pw^#r~v7Sa~6p0L$q3mZ3bzG83>!1tp z#BWd{Jh9m_Y@hJNA(AJqmOSx_(Zw>*I0E1C7SK!~)14o>;U6^@1m6ZZ*SuZtAv%`OfYY~|$z~#62OfdqMq*zEW`k(4Dx^{E|EOZdnd*b z#1pSVmEegPyHHjvi})GJgeR8YjeQwB(F58CPt-th@WkB^ZNG`2`yPy+$WsmWg`UC_ zmqMxV#5gD!J`wD(SE?^qZ6DeM-#ds7kS#p%^Z|@Z@Wcj*SQnU=*d5A%*MP}T2+|NI z9Y&t;#6^%AUJn*R^u0!Q#7s8tDEa`!gEx+28;4H=t0aqcQGy#zh&~>C0BP}?8`1d` z+5(=Ka2oq3cw!19gC`b1Cge$Me+J_xyc%>dU>>9)+NYYybnrwC6ah~xdj(zpImv^;5Up!1I0>Tf^+X+%hBU+!5`#c=#{hnS=o$=Sh3AMzdSY`(4X*-UK=hlK5e$AImQD8s$0yK2q#@Qd zp?%?rYA6Jr_&XF29}k9QW8KWeF$35&M=XN|^n>VkKVkqhb*v@lBbo+Jd;_WBiM_sJ zJ;Da3Qn~o;bIPIi6FF-*dp_kOp2^74MaUcEJ-B)y!p& z;E9RQ1$g3JC<)#O(mOKg_c!8Vr~vWA^-v~!JXi>|M;c=Aw2Ob6c11Q0qNn1^=g^Rbnq%r19?wGJAe*#u&xnL zYz}>*G+^DjXhZa2CFlw5LVDtrdgihac;W-d58eott&jS`6K6Q!eSYx7rBE`wo(NI@ zAwGtb$e*~-5$}_R*Mll2l&>$!0QPAhmO%?HfkKdmShFG0z!RH7YIqf>Z6x+>;#epV z@x<=3HgBKJmEboJNZc`et1>^=#eANwghbK<$j=lx21Gkc&jAu@Rc+G~a81Y1R zC=;GI4tfMn?9c~ghF60L{%8}-ORS?syTKDXK#uTg@Cd}mb}$n%Af7m82>J{>vGGu} z6+F=!nhH1)g|d5!MlWBG_TExW6M# zgklg+oC`(36MvUHahv3c8ImV{g0x6aw2T$!Re-8x*uNm2=m#0$i3^saUhu>?C=os$ z+yhZN6P0?bBlHboJII7IYOoNZ?N_z}`wEDTEr|^w4bl^jLG9s**P%x6#5<5Jyb&z7 zQtW%gUC>m-6XSo!*ac5al{_(1@+NTXYSas9B0&2!C_lUsyuA+ff;WQx8_<{FwO}Yj z^&)P99N~!>kOH1K;Sbaop12G$VO~ABElwQI6Tx$k9%+bgpqcPQ*NqsL;EDYqe|Taf z1c@Fc!fRYd~@EN-$&_#trxg@Cii6 z%tp|2yOck;269IJM8_SdBRsJMB!gFhJ@(T!iSmHUppl@3yD+-Yb&OFY#T5SPN3Z|MPwJ^sf82 zkQVX8LP!HII|_ds`vvmJXpC>JbWJIgiitE zE{N%g=OH?7yZ|=5D8@Ge10l;;Vu0A=_wt zp9KT2ih0tzAE!aIEIoJ-@<*CPaL6_6Q{Y2D%j+0R;gw*88z?_~Jh@ zTL=NSKvS1uUk^@66XREb=OJ2_5v+C(+bQJ<_Pme&46gxQA7I>scLTRQL_dK~0Ea$8 z+s;9GzleNncr^ptHvDza@eSGso_GqP zG8@2Enb=+sPn5k!{_w;>5aq80D}F#*#aPPJ;4-KYydI4Dh`tA}0}nz}P6OEQFVq+D z{@|X^7z^O{ftSBv-vOTrTA9SUXut@F)&)^7dEx_z*AbkMCHC7$P?aruVh)suJimf= zIbuHcU|)#l4FY$5MSCI5E-)RUWjzJE=VG1Ww+>%09HR2mJ3mL}V|+mR(V$R>{xJ`A z2aiD1{z+h~B9sI1F5q#=Cxh;%n(*MPkt9lRg7$=X5|10N5*g{Vz3!47y2_!7jsfwv)Q!+W5vriCmX z@x&5{j$veW7P5^H`DCyVqVFcvYFWrUYg@>!BinD z@9;*v3GCsFcfG=Ez~3S2hpWI3lK%u&XeP#21HB+>6K}9abF>5IwFTQl)K`h+@vid( z#8(2lKuMH8I0>Tsr-IG!F7y<{tH30P%1nF&QU1h=tAFvxl@xI^<$)|xqt;N1X z^lf7yb6kitV41e)1Mua*br7u!qIC!KGsG*v&mFO@;Z2~et5`N~Hw)QWcd@N5fVJ>G zb6T!FxB^N-`gm{%vyk0`4*`AE=&SI=U)EB%Bsp0Q|1M!Y;8YhFmC`gNV9k>yqKA8rZPsg@| z_-fz)h}y>=96G}S*9D_q;0%b;&jc&a6zftA%!iCfQvi0KCC=*$?u97*KCtgRytA2p z3k4g@M_+|+1P+8~eFcG?7ozTn_XYPY5`7Z*4Wd3=40c&8dJnMN64V9hiS`iX;{l$7 zDE$Sn$})_BNaF&wUXD7F2V3hU53Yu&zU#n{6=J=JO;%!?MERY;m(V)QYXXZ`qfOw6 z4r{P1ct@}|MD_ItM@oJ)xCo;Bmw@HgVhlujVnc}H8-c3zSVxE_9)&1A8C4<3fv!zY1N;?aii)xedI+j8_(a83f+1o1JT38LdMV&Qf% zz8Ji`7wv=iRPgshqF)96c?4rV;!{AIB#dM5w&2pEXb1Rp;D%!svZwF~;F{y87sZ2@ zAu4k!m@oMPup!>(P4V8~r4;P9C=D2Q2K9s|dY;3&p)}xJXeN9Nm;}Ya6Jsul+Y7M- zqV2ufC5-bBZ!1tQd19~2VtZ=9%v96``4Ep?5!ZV%_zt3ZRaenxu8Dop1)K{}d_36i zI{H7nKe!yCcs|F-h{oo02DHN}gz* zA*LtVOP<&kdW3w4y(Lea3Q_*VO_C?3NSd|z^Rhgfm3vxBW<@$mnD{dh-zvZbp#RQ{T$W4u^x^Z-&mW@3f#rvkS335Sr)%CyIR#pSRUg-fmrLmE$sE%kh~FKW9G1qZ4_w&29v+ zKwnpzD2iUbn=i^{<hEm zCpOb~xJ8>Gm1)_vP^xUXqM%1?s;`69ePre9VEq8dmIt{XKvJLEFMC*=^<5O>7|+|s z&)pw0VwNR5!sl$JbEy2I&F?(dkJhnb?(Pmqe+8)uxP9+{|A^0wNzM*6DQX866sV| z%n8$IW$_h4ReTRmtzy+nY^mA}#dL`GcPeVZ*9N6ehu(O$zT#@#mPhispZAdWyy6{w zwgktU-e+IBWOtG)oX^w$m1v$!DAn85I?@{1bdvjHlHC6WIhw3E8!33syW+jb*HJsk z4@uElq4NINJh6d@+dYgp5_m^nppoHxDF4Xo#-JT|BU-IP-txKUc&NYCp5_!wd3-z> zs_ztg#k2JjG_}aUYk<>*^>!Y_S*<)*yk;<+E6vEUH=b z*;d$2eB|D#K6hXG#EPZ;=gjXPV(^gWr)Ky5S%UYcFy&w6^^L7v6O(-_202E&A7>>^ z4Gk@=52pK6DxKczf2Y%?y$cDj{%ztp6(492ae=21CJkfFeV0&qVYB+EFS=0f`vXNK zCI86Z=6!|I@#_qnd^vta!cb{bC`R{)ee4};-K-*NeD{NIQ=6u6@`aO-2BYT#r15q* zM_Y~#ZG$1uo)X4hjcSg;)|SuozK6p#`8*GvskQabsK`o~KbYpH(HCuejusx1LK(Z- z?B@YoH$#KAHv;0IE%4~}=vru3ahdOT6{0#n>qC7AZ9(0ghA@TwSqv8bG*|?@#z5e- z4>@4kCxneihYc!#wp7~GZ-Avko0Hg-wQr!jh_+tM`Ol$E9M(4Scz^5R;&fzLn#RBO z_`m1DFh@h1;y#42DZl_()f1;FDO+3`K+2{>=L$2mkk=aH%Mc~)2@q2BVb=ic}IcYfZn zHd`otML(?M)`lLjkI=QIAV%C{j)C)$dtezhD|udN@_FTd=2ceAi#C|j@?oJJctYBT zw}6w!G)6B$mzl!@GtmuE2YzUvz@Y)WjW?!v#9Cj(emOJb=J%5K2eAc6+b8mSPy1_L zvlnpk7~C~Py{=G+rl)c&?3a>{aZ4pVKr~>&ujWNe3+dy&wLQ*HvRioArpL zs`5jEB?v?gMC?QuM0v|Stro&gs!q*i5C^9Bb;M25pDw1E8lDpc__$95cSFpYgX+7kg>GFB~XfZzWvFD`<_25Mm z>thv-c;hy6!?_*q5=DT%91 zO*pBH0_@K+9>RL{o@bckOC=~>J{tBAMpfT=wJRX4huqV84}$;fK~$}~naN4MF{GEgX#!`D&eEgc|t<~e?}?npT- zweIUq$p`#}SuV=wPr?GQ*sC~D5s!*XcNDaID^8=sFpSy!$gx=rYK`z`Ec87cJXxN_Fn`d6FQgiB^`~8lQ%^C~TZAt_ z=g@}K%+VL9&Ck<#gj6=(JXMgDhSQ(cAC?(DAK>eWN37KuAk#eUd&x)te{3JtkHo3lX==tTOzrsh_U-LzwHxt~4Po?T zZhBX=Iu1jFVk+{SNOK*axh$!@{$1{W_T>Nk{}(NQ?M{YGUxs4>8O9kI#xfZOY8m!b z{CSn-!TVGj+Z{Xol z%1Z0WWAR^U{Y%3IQay0rFaMO*7h$Q~r73BB{PHn&ZvK{)#<@*v^QA-KSfMm5QT^|* z>1TQ|-uQR;|7HPra>&o={rKnp&#*Xu+RyNY_4K*&Gc2aR_%po9(PyQj&$*vrK7YY- zgP4y@_MJM`|9tqDY{VLv*ghpu|C0odgs5N|NBL@-7^8?9ucr%$iMtHTiRy%#zY}G( zPOK#=4V(Yq;XmeVChF1?w-6H-Y}!VQ4_v&RX!4KTNtDeE+D(jj)_E^cH>%-&qCr*R zAW^k$QXAE$7d=lNu! zy7S%>MAev;CyC0`secl6e!(fkw5nZB5w&F-o+hFkXNam5pEwmZBY3+-%zntJo9A_w z&)4KQr(#?Kz8*|{R&y#ITAZip%Hr{yiRWH$YMb`BK=G!wCpnF88u0a**8X?S2vrHE z`bPLAN@tWm;4~GeFH=~yXfJ2H!6uc$+W08Wv_|ha^#l9x{-SLAC#NFC;VNI=r&vz) zl^jle@4#ymA2I(NrzWiNbqX8umvgGyK{ApXrG%D)|fBhH0(Et;R^k3 zQM}gn1gCoRZ@eGtoz$F~RrpJCt6b4G=kS5vNLZf-~_|CZ}P%?OjTzf9A!hZ7_vX>W?UW+U?Gq`W0h2 zb*(pW8jfES!*#MajU(*SDZOHq7pHpL1Ww)RjhwPkshmcK98RsF_G3z~S9^<0m>}{~ z9H+tdGN-C>7N@LEttXT|BHx2ke{`%!|8<-?<5@A><0GeObG4_GKK`LQr}1kjC;A^} zgfW>@cJL)<{ICkoc>X_Haq6Q2IhF6`a;n7+6J2QxyI$SIkj=k#qegvso9|6#Q4Ceik!fi)^{$auE{D+O+f;u z_S8|%_-U6oRm~o9DjvNP!_x~m4OPp(q2(G9YH})@HQ|))@5rfj?9QqAJ&-f)+bB-c zfSH_$`iwLmS*JMD4&C6?Jb%U+Z~j?~uk(Y`)ao~WykipTaQ^G~ht>mq z26oYy2QNJ8erIe!Bixj zg8cs7Yj65FOXWD^Uh~b?J$p}oclWxa8Go%$b>UU>8;9+;bP%d8+C3*A1S63C%d$*b3J;GTi zzR}?K=Q1ZDpwYy${-|KmEJU2QD%R7{{_Z{FREZubTdDmUtg?C{o2RE;;E?Ah= zdgHmmSEw-0<68D6FJV%Zm+qH8R}|JIVuT)c00p~_S6-?{SPxgSo#!xa0SHMX}Awx!z(Ps_Fwd{keTZMN$uM7AB(Fs;0Y zkRF&>HSd*D7+gozI?~+aKD^bKxv!qJ5iAc*?@?9eAmlnWOfnvK6Uq&nUH$j5&4ef6 zeGZMZaThw-EpA=B{x`wC)|ORO6MIVQ(Ng#}ea3FLn@+-jN58F-*KH)soVRdLQc2v{dow^H+Ca-K>-Q7bt^sTD8MyQ7{H10uoc`H}Je~;W| z9@; zE%HC_T3@*4aOYUTj2^<1Sv4=#S??v(T-ou@x6`@_7lqKjy7+b!+JB9yHn3J#p<|^l z`E7f47iwAG2sa;GS+Kfwv(3@AOt^GZI1^RWLh65laQ@HSh9BFs6b2OLJ$P5qOK5+j zTdG@zudw3O`8^NKdWm^kzCSCYm z>&`-*86A8d6?h2Vn*z#xPE!kQAGe!5HLSK!d~(J81w+~j6W*Pag}T%imeqQIOT{_} zWlw~rTLUG{&xUy}4kbb$S+4_M&!u0m$FI(5`DJ-${%{twytKb@ZwQ8>3L)bXYx5vR9?WFB! zfMCBQs#EJj1B7aL|HGz_gN6JFE&p`d+)3z@d}hYtJWnC3@id>QuYv{tjfyhHn?b^n zM>FE1jX^?k4cm29ej6a9S+q$%)}*me=h*p&v#$9IkEd3w@V&67u&mLA5fk*m!lZIj z*L-O?NYL!RQ*7PELHKqy@ZrK9E<&+ou$BB%ps@dh-e$%C+bKKkKPN-3P z(LkZc&OaYt`K!J#Ut_kVyuQ0o(=KpHlP!IOdHcSb=1uJ=thm(iUU9F%!u|>&uR1#R z5$?9pH?BI|PjGtJY{&TyfkN-img;9a0)_ICH6GTf?I~366ZJhiF-WLdzvm6jp^kz_ z`pJmfJ7G(K#r8y32Wfmz32uSI2KE~fEW`%8 z=P%vWT-as%*wt9WU6|d=a`G%~piq3S*1HS)`v~c`hfaLDey|W8zD!m)(NCCH{#yAz zCp8sLZm4*>M|`jlxn}KyG;@Dpl|KFY!mc%h`Y%rGtv=32=+$md_L#R_g$n%=g8PK_ z6i!vjc4?8;Sy(vUa`??#U4>--W-&{ScMz_0Kj-+ijhFDk?pgkpk6uE*zIg${D1V_x zt*BwkUfTD*Il3aQ5ya^g3zRvdXr8f>Ueu?oC^%5f_Y9y*8DkRDz8ox{V zNQ{@Lmlz>YBT+3;DN!cTR4nF`CNWWByhNSE2#FerDv3&oGKr=lDL;t@iSZKk5+fvP zC8{N=Bq}A!B$^7Pd?gwr#!J*o)JfDz)JRlIR7zAxlu0yxlk%5nkQgsfFHt8kLZU{Z zTB1s#Qld1aFN~1FT8SEoYKba|N{I@IvR`QWDwRiKnnZ)dM2YdgP%njb z5+fvPf1ySSt0k%=Du1Cu3dZEWfBc!nQ7iy$%Db-R~^$V3!xReShTuPY~Hkriwl+q}L zOPMBxOKFh8rA(B<@xM?ng-fZE!ljIm!ll$o;Zka(a4FSNxRfd>TuP-BE~P>Wmr^E$ ze^UHyfc{q+>*8ODU@BW|7G>1^4-?3smqtZDf$mZwX%2$hGiwEGs3xw0`Ve!}F6XY5+DKUQ=Z zv?g4`4&Pi|*70Kyi+byloKt@|bK{@Utd7wPe*&{_Z1-w;-~eX1%2j>BB7|K(YBBLI z!)Ug(M{$nr3NP06W}>lAdN8vLdGkRQFp|~2*9m{_?7+y;S<4RxvCvH2vpS2lm&O0X8op(2eU{~HZDmU!K#lk*o-ptV}9Qr$_IBG%PeMGzGrwogf+id zVZowSUd-aLOMDNDaMr(3T1woU0Zh5pKY7*yE&K2^xchJ8hqKhP zb$k3dE1X#zoxNSXe;iZyu8=tDdl$C*k51Q?z4K!Uc({T`1uZ+D+bC%Hx#6tab;IGX zxKS*+OU{WOQya4inq#ijZ}ns+K8}c8{W6fbZg@IiNY4=V!kX>rem$JcaBOnzT0#S+ z5kIWvy44*#Dh4z2yoTB+^H7##9o&6hoiXfHRd1(v!#lAr)gSKe8ajY2yg4A>yXi1i zW_O>ihtGzyYOaT>x*lrHViqYszSR4%v6p_R{M!#@vujnpzQYsK+ecSzAKjXjJ6^-d zYg|9pWchC??`jQW9;SZ68I*T-`AdQ6@6_yF%^tcVZv)u5VbcyCOC8S4zq;Ogd}1tX zS2WMRw_Pu0KKkL^L!Y&*fpXgr^H$+ZZ_z-#Z;l&lvE@`uUX_8&dCk`ET{ecYwYu&G zC!;y*uIqf%vXLJPX94Da^52V+hiv9Z0 zm*M0y{)V!N#|+Jzj~m0RX6A&y3h2$uaR-B^c?fef<#jP1H;!4Y8&J>eZ9gVI6n)Ef zStzTbG{avjR`={I%lyhgEO=c+$<)k|tmfA9-_xggv9i-v2i^QIguU!w?ipx3mW>z| zJ<$~F$ISaYUaDIa%IY;e&@}2&JLcv8d1TBRtT#6YLu>QVtV+bvx!FsD9a8R z&Z^i(SGJ9A$+U`r<3bt*vxix4W2#t>W&xI|rY>#zu<~|2Kb&?8Wywo|p0N$C?9Sv3 zHuk5rtiAWLFuU4g*+UN{{syoa1EQZ)tuc~m{)m3x@p3no=d178S{uSD^G{1=`q9a< z;PYViqn`15JtOv8^VeMeaC`tusoUYk!w(~wzKgDW|C$=ss_D`?y*q`nH8->N9jf1% z&6$)mZS$+4>_+A0VYf|=tVf+GYZCt$%wC1356TE0%Pco^j&E!^kkvDk8QkOeD0Z`# zlVwIR+Tp^r51|7_vKU3@a`j>~to`}>lZ2tTF0;FONt| z|MH@%dV%5J=}qc?g|C}_PX95d>2NQb0sowC>fC((&vH%84u3xJ>-STo^NZtc|DV&v z^%wm!ERJW}e+ggw85Z;5=iy4T1o?51YJ)RpT4DgF!gB$q*8iwD{nKl4x>;3z+!(*1 zGp8zf0;e%>n;2ejk5lJbh95U;r?(gBIf~P?aT90!ygQt-A7%LWgT!)foT{DUMLyZd zsowFNQ(2)p|GuLw*ON1G>wM0%$7eVr4u9j+GpD^C3)C;q)$pB~1kezQ*uAIRcNY}bze zPN1JNi&MAa0%t^MCI0(FqD4PW&8SVB`pubQ{MOd|_Yu?NC{BHy>zrwS)a1X%D6>Xz zrYVnes+*PNzx$-w`isB+yxq;IT3gI%Y%c!p6n`**|ITErRmiECtl__3>CWyf{XGls z*LeQ)tnABZp^5NtOVfSc!s+>y_3b`tg$XS$)~S*+QmD~Up;)@9t6+ELV}d3y+udSL z=$XJiV}x&~PvmYb3=>+8nf77Li%>xqsN1_LO}!FKUI{xi=y%d>Adnyk?%e82 zae#2KQ^p{dt6{>+t|#A}el$b~Kl#1>=JEkT^sduwEBW^lDnxc#*ugzesJz+6DQ^8x z!8O$^-Dy!M+UwclGW|LUJyione{M2VSYWYuQ%Z7U!O^|O=D3t`LYr5wbuo24g`;hT zU%C2csNh&-U`CUyPJ(`){CnQJe!|G#P7U07bf~Z;>aX0Uo3uiVd%t$skG%x<%sPuA zO;v<7ojlrauP{m&*Ll^Ntp`U7Ys)sdqkJ(^@T_B(Uqv1wR7~prn@|2o!CD*BbX9s! zp?}wFxsRWA7kt0QJt}by7B zm0r*H_kdt3`P-8-Mg2Qm@XPeSFOd6xalIO{|NHtjzMQ|aqu{^J=l(zbp8KgcJk_uJfxpv>-B7J{ip;-e@?%5 z=_IbFTl6!$xp!7s2OPhYR@PK9DAh&h_A^`>5B_&O+<(`@QNQ@_dbt0thogR=|L=OZ z7t{{_T@Ux)^>EY={<|LTzw6=tyB>~TFZkc}aQ|Ho_uut!|6LFF-}P|+f4Lq`I{(eY z^WP<`N}(A}ftN_N)83XVey|M9+U<6cKUm}&vnw43{9qI9o=#iQ@dvBJKOjH< z{evx@U-0_DoA2yu?f9o=SHH6-(I+Nr4}52fqv|+hul&wjoRj^IP5I6aPne|J7xY~^ z|NWiW1r~2}Zup%=8pbX^TIoBxbjBlSY<4lL_=m-!{*Q{;yK81^#+)u@D_#a$9Z4u= zofj7kY!F*4o&PRo^L?yuuktTurh@Zk%NgS1n|C&Nb+XB9E4&!=C%8eYVD)yhnY?pefc zmU-08yIqlV{=0}J)K72Oy?haCbZ|?`{Om#&tX~zC`J|B5inwSOaj}qn|G1z*4O}&8qaW{>BPzfIT~Xc=}qm0v4Yz$E;fuOy{2h>HK#AQ}Ywx`K)%YfxVsZ zd%Sr5JD<%oYrgWx>3nwnld)X={rN1m!?96&{>W#k2~(qe7w0qUOB*Veo0iWG?RLp{ zIwGHqnPhhEYX5xc{C7TE`lHiDlS@8JdEPaukz+n9KQnI3)T;T?`R{yILz`V)o1Mol zx9c)0|79K<5sg@_5|ITB@ z%^JIe>PF}g}qx`FP`3||P zyVb7#B~5afO~I=VWozfMix(=ttS?8Hpa0HffA~Hdx;*DA>tNMlr}52K=Ii|QbeBh8 z+1P_l3zDyXWiOZScqW|s$^y^yiGOhLE9+)9d4JT_uWUrx;ny8je`Pvvv-(yGzp@$C z4tTws{*{Gl16*#7`N}rj%DsFI*Tr3(eEC&+->fUz> zZT6M*4hU{=6xYR7;~&gF{I}b4$|8N$L}pf$!^$4q-g)`w9A>^dBgOeu4!bmI&x-W> zIqcou840VeXfOy5_LMDFXsCI_9v#+Tni% zwa8&-6ivImcF1AJKEC&#Vw=PCw^e2}t#g>x{6dpdvm6%2Pk?8$?zewz>G?5RI{%%` z;x*08D%=O1qk9xx$!3+?4P5r^bT(7-6X4m*>TJ$R``y`WQIY}D!&6qw-q<%=I{%%` z0<|^P9v8CNiER1Q;X_FAFrFu-uCm>O|!{n>4p)Nyeei(=fAUA z1U~_u#e9>a+`fLwVv)(r^~kVofnlEo5jpp6>FA;WHIZ8lLprb%wkvWf8TbZcNTNKQQ^12-dW7i%Vp_rEQ?i6 zZG*oow$Jd_qFCoF)><{_oxejCYv8@JrpgY}`6r9%6lSN3$|7v~p)mb0v8_%=3jfMA zF@46VHE_o+l|Keg*kI zeN1@fE7DBes@uA7Yy8$-TNAg+l>b*dcL*aX5JUkKi9{liNF)-8L?TBbM-GK5{X12k;v=4&7Ih+IemkHbW+LtKkZ1$?WuNWfqv?jb{~n`+v{EjUg)b( z#VS>~DpjRwH`BP8NiAwqhq{zcA;pxEH@aQLpZ{jShX6u|Ach1|$RLLTO1MDPgKm#p-hGF3IV#c;r*y@~p{oC!BJ|ITu{=jqhCZgP;83hJiJY zJn_s6ue|fYCtvJ|FM)&-Ng}Cal1m|_+@zAb)bf;{G3M>pw3Z~D-e_DyJFlbYO=rZTm8n#O1|nZ<18FqiRdXk(k& z+?KYowQVd|ZAUxV*)Ddqo89eUFYEPwAM{}#^>Lr{X`l6VzkX~V?!LaCcLVPR-VOXG G4g3P$qKU2m literal 0 HcmV?d00001 diff --git a/epyt/libraries/win/2.2/epanet2.exe b/epyt/libraries/win/2.2/epanet2.exe new file mode 100644 index 0000000000000000000000000000000000000000..a5a04b629c9f6a692b5dffc407e300bd5339bcfa GIT binary patch literal 11776 zcmeHN4RBl4mA z{q3K>XnT;u=WS6ApR?)wpV+A=EJu56MmX2p4PmNGjyg3h%&0Ex!X zpxZj0$5nP7wm?!GE=!kb}Va zn6v>Qx$BUoJRUA5MPd+i5kHPZa?6Rh@^~1#`3m*_8xzy!@C}R&oiZM=ztw5?^*1=n zeEmMBu<_2j#MF70sD3D>6=$2Mp4Codv)M-Xaj{=<3O;pMRNod=OV)AQRg8(LV=n)_ zTP`buP7zuxpQiK!Qo8vtEz7LqcUV!PI;MT|ll4zf@yGRhHo`sub{Se;fS6Am64Qo4<{0HWV>eXV}>P3TE30iY!&Rsw`i8`~67PQi!HaMLF zFRJf$dM|2?>PUln#yj|7iB~;3s4Z;BA01e@d*TihaX9#)Sv@g$ZejlE`%bhsTz}jf zK4Gtbj_U`}h!c%K5HbzwQ7^B3)T^G+_Wd!Ng)QGH^r`F0Cd|GxtQOUcc3;|h7Db|Z z8|LUWY;NeVKnDgo0RHZGlXh^{lIeGVc4sEmrao$afS66htkapx^e&6(R;NonnRO(& zCJ>Mdklb9z4YX6Q)jj&ixld^;IQ^8fnMShj7!9$1>f*>Px>KQ$ZQ(8mLu`#TT*Vly z8XUBTE)Hh1Nz;%xc-(&O$JoiIPU-W_=Tm#S7!AJ-2ZLE2A^dg1$F%dnxkP`NwhBIM zS4K%_OJ?)FZwAo*)r{;hy`lu+-I-(yr?ul??#?JB=vEY{<|Vaz2>UK&cOye%4-!`f z4$Wq58Brc8zBr5PD&z}n=rAaz{XGh3AEeG#YF`KL&Y-k%h|^0f5GVvwr8QZ3t_qs? zp23=={blEyPw(uCd}_|N>jn&>r{;p^VQfF`KQJbbjH%Y8HCTxsm~6Y2pmg`~J=1?_d#M!ROBE0<(01NvvnB0|LY5(<^n)Ibrd z)2yhMGzSP#Ez@QJ>P|(qXl;MUW-*=5V}LNwn>@QNB+c4yQNw-aWs`OQy40bG`H-Nw zfyA2Lo!F|7c^fkD0qRz#M^qK3h{1LFjrk~sO?&mJVL;WBS|6nM0zOEP&&x1W^9hl$ zs&i`&KE{1K>-dOUiY@SKAX&$Mb8_U!>;gs;%l(QS)2REs)cM-OU&0vca#&ci4%2z` z<}ysjf$P!#=V=1q9BRdWb3cwL5&O1QOl2_r=J`acW|=_0`4`vek{;l{Le*jO&%mK( zht016qq!b74;t72Ru&WQ%h0?ZrkcYACTjT#U$vTu-|s6Ba!iw`T9@aTsOTwyg;@*% zI#!E)>(NgGjOp2|<0M8)RDXI2O5HdQGUOWCMD?w#V~|SF*VSUG-B}9@e9lf$MX3+V z9LIsnr@leVI1!a}l5BMfS;u3jmK{!I^LDavE#xL{fUsrgFl=Soy)cUV zjxwJ*II!Vv#zL#jO&XkHj~KM>1cL3onn3=EzSR`VCjA4&s1#c5Elalgu0Lvf?T)!( z>S&pmf7^hSy(a4Fxp{xMNbr|zyoaL$dD1>ojolVZtYOu8@Y!qaqt((Et7Jxx*iM9p= z9!K?74FCE%4qx%&*n-T(u`KtfLx?}NI?FbR>Um5j!WeT&1uT2L=D_<^Pht~^Ylf1F zn3C*Rr5o&7M>VESR2%JLf8%7UerXnND9rbYmH+O^So#g6IbBZk!a| zgW_RWfd`tFfN)=F3MLO?w)>Y-BU_!#;>A&rM~H-jx@X9p89FsU`xxtQfO$AXx1S^j zkS%XP$4{L)WEwhk6bRzBN5R+6k*{5#J!)}kzeKx0^7KXQ&a5_fLc48W1_6D1m$H$1To`h$}I(|YW&{LQ52sm>fM891WKt|?F<%=bkElN793`2)V>Dp* z44u1)9~JzZCyQSpQ^^S))_1KXxk3zzbz=UAu}_67`_z#-ybC7H=`KkfCV$FokLNZS zxgyN96~2+yz;~b(v>vnaxOcv&e$cljnCKc$UX%KESwV81x=~0!H2z`am#Is6-HyHw zndeE9Vx1!A0b?45g+x{7K?G*ErkpjCr<34UX(4Y=By5FT> zxocz?aR3KKMg6bxGLn6cKgN zA9`wgb}%uwK{Zz`L+G6vF*Wp?7XzJ`1>Srh18@bbAuWEiW^(6JG8=|8sPB>?IWufW zela^y)L1--y1%TXgL-taeq=ZFTi*m~JMyc!w$!7fsNXsO28FV$|Js-JvIU79khmt1 zfO^xYIQXA}SUgI%DuIFrVe!z7L&>{Ta|+U_5zDYy2147l-y8?#y)YywwW$$d*!&HU zm;n^r1#AFPqYX>O8rF;@u^6DqIbJu8rEaZ7si*(iY5ojhNPTt6E&sNPypJ<+6|)~x71ceA>eq;scHMfczF zrhakBryloSUCct>PIi2HiB3%^FRwu#Je&BgQhzO~ z2+~d?Hhv232Epnv;hv#WDCH&Y<9)T5+>CACpgIUX`uVv}3x!j7YUr+pXQx50H|RD4 zDhAwZz?TeIYsfD)V2J^LXO#cD0goE6(Qgv_ z{-aSZC-WA?9e9oz@KpnDHtHz`e8_;080Eh)^gL$J&l#}JklSg{aRc6Nz~u%kHQ<;5 z-1Sp@eKc?nH~2Za=W64< zW{zRNL!~;u^Ha)ah<}Xi_2~5luMV*#rajj3#I!m^n-YNz>Bb_VJR#JDqw%ET4}~LA zG|(lj73yRu9+RhXw$yD4M+5SXD?;}aaeYPA)zv~vG8zp>JA}q&@9mAP!kvG_!nrSm_kD2V}A@Ayf&$PAPbw zpma*YMkSym6G98`Dplpr)cTdfSLg(4S30bR4?}}zzTd9yzhJENb_}#xw1Jr`Df>4(2&=g z*ZTz8pe=n2ka#Hst68ME^B8*(X$WZ}3V!@$*n;%>wQ%%EMPI=c3h&_e;*$Aaz`u>U zKU&Dx4S=_-YxU84{J4!V{(j%t6$P8cjq)7N>2h7Jqw{(g6ZG!|)nR%+@BAv&!(8)k z4%IGKFw_CYV#X{0)$3YXotxKrNyajRM@;*49&WMd<1}6quPe;p5wmgzZyk89={&BF z0+uVbG;@8P={zncPUE$5xn}S%Oh!Lixm+7~0wS2)_YSNpwv}Y~_YY@xETVL^gQm4X zYsBE+fB*gM+h}Oo5an@uWF_cq^73{%r}6IQ?Zl_@T6MXeX*^x77rYV^+Ue21m(X{j zXUHCXe(*qTCQ;flL6VC%4efKeVtB6Nu$1}J|7(7}k5adxY%YC=$1%1g3nQaN( zK{xB)p>p4ASR4AtP)^@voG!dB1Pw+nwWag8O~n7K$26~i&1)%*U)5%JnHChV1ub8S z&ueqIOo+z|Yw}$47n+%M)pg8js$_+6eT~zLdHgd|fr%B|jF(`xLS}29&1|bI%+^vI z_h27jO4!e?X6z`wP0@ZJcmc_RJ(Z)4HkwVdO>Fiy=(7|si(C-TZ_9JdCf$oMEYL-5 z{Ua{KU&a1A23-VAc_x;JF)`u(YsITfYfE9X3AaYasw2!{8eoM~R#d=>Ru!_Mn!>n= z+Xy>XnVGG$I8Hk0;r$?8E?ipiMk4prV2++!gguV=%RT$R>lF~ZPLcZ_;)Wi`2~&74 zfj160`xM?Nc%$I4DZEMWGT=>4X`>Wz+9B|0-Q=FVu#E{hYC8NPe$>a~uRVSoVvV)rMQB)i(T_cTz@czt3AFwuVr0QSAtr&b6v}(+gqD9G_G9b;>}=){r*4@ zkzY8r%^ylegKRqsg(AsBC*5=X{)EyVjzLpbS1ju94#nkgR0%N;^CzTE3Jn!Wh8+^S znK+6+5Rdzn9dU`xrn(ZsElKVQAo!ADdl@5>Lg9|2Ecp>z%CYVKfZWlI*GKR3dpx5|f^Y+5yKJYrF^D?$ zXINH}fykyPI)AbDLv5U!;ts%^M}_*>-UK=z5ypD*n=WsXjXtbE5sQy~4;D2@+mam}lAN>TA=0rS z)}D+=BKI73F?L&H%k7Omx9(oBir^E1ag5^^&tGN)a$iFJRPArxBb*8Sn|`G?K?x;_ zz4YjpBRa`Zz1%>*0RIO@z;0)36B6Ao+5rCvX%FxWAiIjOCx8=_OL1oaz8CN%qygY` z?+hWvCK6*EC>7nQVHE} z0M8w;C>|HzXE8x2KPYl?SMW5C-|^|6I_KmLnmbDK5oK&f$A0j z;+-4Y1wP)*v4@a)faCofzmN0+r+W$AFa7{|g6|>Kg8#qwm=OI?1jKr$x2b;#aeV?G zKR{q2gz4`00B!ymPu)#DT@k?uE9)y(R=X+$DH@EmUN77j@X#dy!Bw+2;$P^ZYrgwhlZ#SCqWKS!H;F|UW32?>F0SlMCF;KXsrxg!1}|K%yzy9lKAGD}-d&%U=@KSA+tQgj6A{ zxU8pc#izGYw_=)2bt^7+4%O>ci`i^V{K}tO{r~EJ87Vf~aVIT3&h}j2 zmrrg=@xOfXKH zIf8@S{Elr1o^YCauNic)`V9;!SHH#y=IA1(tiR?|TY&gQ8L777cwF*t-&9*Z?~~F~ zZEl6Al?bq@(&0z>J3VmCoB(NC*H|b^+pTuQi@0pI>8IZ|5 zNq=tG=yWriZMug9w?&gYev|&(H2d_~W=7RU+G@)oL;hj;+^64m`)$=EDVjhVn`9Yt zqbd@3QF2~Gi`H4!TPb0%oI<{I~jZ5Nfat*Yr5fE?~ELjMb}OO8V0yj_~YMTOv*mPtMEshrM}&{b7He>%xnt=%HPOy77h{ z3FJ-JjeXJepzk*}=;1(KzTUc;x0v4Q&2vd}{l;qDcwIL#^w7GLnDgAtDYk}YO<%2t z))ZcO#bwl@&)=oPQo7+-e|oA-FIuCA>+=eU@fwby#i_O?f#Wr@2A8DTW`c%mtv9dG zR#DnA_a?vL{OIgdn|6}h)&ORcj}CZML5JwdWmEwxrmoU}iW)N<8c_ zniuI09g2QcGWv^p${#cSfR!fvzN46~A*4k{5{MJ3uA}1fmK|Edx1`?=BN9k1rqdEg zYLRwYlqkDzL?8q3b^8i}W0KK449l;gF919={|ARR{aS_X{DVE%n%&x$Zq*vDBR;v( zL+E?V^y&OLovTf0rfZ)V4G$)D>WW|VbgDT>;QpzG^KSCNl%cayZJyH2bMs)uYNE80 zYh4q9H`INS){rLo!;U9MFoG&_I49y+ z$qU}$*2fegVXHA1yWY(iS9lSiy6*St;*7*vKs^(G@7NvfImDVPxnVo$soxe zuE{G@0%1XJH_e5t^QOh=ug1SrJ=m;zfK;8CBofXPzVX5BvEoZolsMR{*agu&76Fh} zzQCSR6>*CM_&Bx-*tL)8#t2(`iY>NY1l{b4qL>Z_ll;6Chn=^9f!^?8;P#55&$Sg* zwxU?fx%8zJo3cE!q##5g~|CM6%#nyUatyB?wv@^pKxw2ow_TUJ^x&KVzSH}+dX=o1G zi?(;>`iz%i?M2(ej@{JU(7YrA+G@UShVx}|`3>;Z4KUXU&Gs8mR5u{7pSVIJ>uJiw zR{4o>8>_>)k4U==7&Yv?m(t;^2B}Hd_%if~Yk2;}a|_R1JRkGy<4JQ;WlCyVx;@>I z{w6h4yCz`x=gslnsxyNAF=|2;L_JCq#7S z(R5Wqw_r;RDPL8C9-f+Q^a-a&#{xq)Hir8|e~#SL!{-gwjUBqNx)TU1sTq3ML~)tM zG)ecvB!N7)aEeZUyF6D|8iDkW*)>x<7kfk*aLHIOwpAE=qdWE^#>%D_0xg_&=b%ux zJ=mura%W1XBh;N1OpmT4J)EW+8=_8ygK$}?ZgfQ^9tiDAxw9(z2pLEYr$s;gG8R+x z)QxD&c|sfA)6g7ndrQhr09kLi*rKLCJST$(6=lxgV1XW%nCYjwN=cG9;+&7C8G*2e2mpuMG_8C|WmzU0@9wL%w2GEIg|fDt5gxzcmRl?i2u zDZ--9jl#NtJeMMnnpUH$XtGJ&?uPAwxkVqU`6_fEHE>5{{Fl=H%gv0^KUUMbV$N@w zs0T)sj2H^8N94lb_rrq~Xb7Pj-QYbK`S82W@3lJK9cebV6Sm$;Sh~5hKeYz?#K+Uh)T{|~yB_ucMEEY8E;LQlEi(JakB_eB@OsCwk7yg55#v8DwsM)gC_ldE8-R~y!t z=OzLPTE!AdDW454=CPt!g*Ii~9ja%Vdq`2fh_hx3|=(1tyiH(UKK%bU(GIqUN#NrWh@@%4bwC)E69sC%e(&w8eE z{UK)jdjz~MZBy(Wy}C8F3DMwP<0806n@WI*nExFQOKwTlt5uGdNSJ0NzvSwe8&6Iu zeMwL0E8@vXrLX8IeXb-M<1(0WsyFFjF93%VRmF%p!I)t8#9osW5K^cNASu@B(ehh* z;=UBIC^-aok2YnMmG@sNeuu=r>5Belaf+?urCw1_Nz{^FQNNd{KlF;ak0@YdeZ9id9rvhAR;}7(M=UDI3dtLjlV*Cgk!^Pj1cKwa_YzrrWSQyFMz)wK_bJ$_ zFvG+q?XzIH6s#Snj6k5?ncC?sclMpBo!`Q`mUly4U{Z9q?mMJwEH}rN+NVQLi>lz5HH*>>^+E7beIq(ymx5V-F7L_?xX4`UiowUozj61n?>o z;8X>0at}bC0ywP~z|L!XI%G8Io#(@)!Vdm5uG=zu`ndC4VUBzMsR#lKca9`q=;M?* zrzXlPCc3SUl0!Wo&o zS`rNTAN<5xyPP>J!gTPM4zk$_QW=r`Kwp^ zBMq(%WS5c@F*f@PT12pmVP}Co+cF>Q_D3QDHJ&@-ym3{EE&A9;u~^4)6!W7a5T75u z>H5EDq5e~){<8lq^*2iWk9{cZXVLe+zWqa0`=$Oe>Su^e$xvMygA<(nNd%>tKCQOh z>e=XlUF01=USpzNc!W-m?q!h^=NAKhX+J8z0M%qG;WWhx3U0wFJu(@-OKb1lza5XW zo=zr;Fb@2aV6jDq@t2t%aZX`aMJEWdGyV;XUi!yT;SCgc2eC_ZQVKVU08Ud@5}OggKo@2#f@nV4}C5>K&IxU zqsWS8X3lTuNn$p!G&hA*yT4%7%;fp9U-^Pev%Yn~-O9=maf!Z%ntN`D`FQ>s(F;*+ z7d?Hl&35{CY_?~3PX8{yJa6!f&9m9=;d!0s)KhG>J9%1p27S+FyO!s9p7c{~wkbT1 z@$BU}kImel@x0G-_Atuxyv}p#Y1l`sC%~_%&o0TP&tlGdSuE*c$D^W{V&b@ZiEY0` z&mr0}*kHQ7UNRZ&lA%b)(sMc{ICKm{@?!qLE;JPr2=I6{9FqlB7^BrB_Q=F=L7ZFS z%p7XdAjzB&w~q$$vMqaz^LTPcJZXA$mmYfW3*ERh!*7huu8i3Gh~-i*9Xt58J9VSK z*i8oLh6kIB2P09M9xl)5oM5$JF=NnbL3hmgIBz<74K0{N2M5OMhV!Xh!E+9!F)>-# zNA5A(g!v}iUk_Ji=td=#d$N5IJH{M-VMx>DC01u;+7ZiHF|BGv2nzwk?2~NsQS`JC5y zN3Eo7phJjV$3Cn(Fp=2&!(vN_z5cM+?-D!eu-L4shGt_m09zn}dnrPlK}*Qbib%)k zgXJsYm>Ws4MJi*_4ZmY&f<$(28!G5JHoqSH7M9bnLnpAM5YGJrapBxX_5W@4 z{~`7N4)wo{|K8H|TBCGZg|SK$0o}+NMwfUDf5z}oM@nFr{2PijH0Uw1en|mvck>f# z31fJ=PUrb?h~bG*308f*o6XCRdABPW^=hzN;QWa zMXD4lIL8@;I$bfxI*J0`@fN?5<5dAwEjjiQGQs~`(pFWa$=;B*@NC4PQT8EmX=V5F z-)rQ)sa_tGm$ckF&7Veow1$^yyrLPTs2L^g2gj<&1(RZ{Dh=;|uF9}?KsV9H6J1Wk zo8?68q)DexT(+WKGP2Gg7|t5Qe_B&h0BX|+dyN)0B2OgbFKE{zlkBX2J%;`Gu!vW? zFBDA)b{SdYNH-kOAupvtJh;@CYv6CJB0t zcCXQ_`u8C{l354fv6WCUZJjZ>Ex%z)WPD16RMdICX*s<8LnG-yDX;iUfv&UE$Ef_6627!|y*r$V~rElw! zD>ZmxWKv8re1EcJ2=;IKG6~cO8e8Hh;J;So$m7RQq9OX$NGtQfp3GTOfoM1{=6~Ae zaMoI>CCe{w>%-1vyoIxt@;@zWjMQ9qKL3e&lBhuc=of|Y_9)R#yOOOZ%6>9`m-s(G zvZgFZW_m=phzXVT5m15hP}xlo(-t@$E}14|MYQ*cIp;r}!v3D)YGEfR@GTa!H)AJN z%iHKE%pqoIzhCx$+s-p-*FXB>Q4DQIlX_1LI-)FJwY*8_Q+oBdZg!GgdgKm_LOFGGYYC**)3)e_zkTrdus>}pai>Te z5iVa?-%6QXR^F`Mc?a(#@4j(8d3Tbx%gXzX#3#XxlK17LyixLgYUTagA$hyV`HBadWwf#CT@Rq((Q{^`f_zDhAjMxu)3tpWV$y`H-K+#jjWtAlt;W%}_)8Wq*!lTS8%%wFNdM=*98 zW`|VB1oSH8M#PpmMdTfzD3kVmyiCsDc)bJq3zMoad(FtY zc&rfHq;lzon(-?q0bZN(IV|s0Vk=A`tk!|_>_8p{w#K|VGSH9j^g|As-N@vC2p(u; z^#vHFw@~Y((rvY?@dVQHg)2g9+_JOknTAQbw}kB3iY(ghuioM_x|wyfhA*Xxtg)k0 zZ3&fesmK7ok;%lJ^%2!HZ6(jRa8Abfi2XjSa1Pz@W=v(a?bj=2y2NBB=b0rjgOg)s zON=WyW{$+<_r%m^NTVgPFga3WibNJCM+&=2q&ps2lKb1^rEBXm9@( zb~&Oiv&|FE%&zSxa9_r8u3DJhleq0+i=OHbBANzu33q9~^^*f%G&E)Whf0x(IFB`G$ z1qmwg=FgkNe{^lOXEytdQSFLV%EOt3km!eim|$e?oEXkLyGk~JH>aDMy^aC6=fd}F zRb^)_$0Gxgba!^D4LcZa-|hTc(#Ahi0<9%9!N@tI!dUHN|9tNbUrRLA7rAt>&xn>s zMm0zoHGX_7pAe%bF|bp+^zisDiSV(F0=G(px1Wk3Ih%d{@!d(u65;LFEu|F{gJpHN ze@_Nh^M8Gc(glUjBHF`wbJb^F5JjBY*jK}zs7MH$&UdyP3Z3IzGn ze&p*z7naS`64UaC3kZi|NN@3>tTaXyRz)f@CmNY&dyUsccI%Og2bV{ND!E-58U9m& zGjoxzT89D`xGaQVas)uQvYq%{5@)?{<=rBrO5e%*r%CBipCJ2}(jD_A>k<2h(o*!; zr|tZ9o=|$A<{Uw2iM$F%iV_gE&}c1Kjl>-mnaZ>XsV{&aLKuXsi3ddJObPzeaOmfV zbC%YCOPTEjVHU5^%I;{TkyGS1)<>Oe*`dK+d|avxyR^u$vU0-4UX*M|avpJ&#?Ydw z$d#EMV{=n8S#)UPkBl8m-xONYnjRTtPHR2(7GL#v_I+FTc(hC05THDpU0gex#aFIH zQ?j?kle)?G#Zi-S0EMrPRyG4haZ#QX$7)#j&}_m6T0=l_);?|FeV}fRPo2mD#P)9DXZ9Yta9=y>z`?WJck@dtxsSbp}rr(Y>E1Q(_iXa z$$#p5mLID=kK$5O*40triZ=cs>=-6z>Bigo-t8jr{E-PF@X)#}f#;^rJYAKM9N4K6 zBbX`OkR9erx0#Y+zS}WfN=A?9nhbC=kCIfuCe)sJV-iv-r=oO6%_xP0DW(JuQG6m7 z0?dvm5m8l{-6NMeEJ}G47b>~aOcQ)YPM*je`g^b?cNC9|vjh(_Lt!OhvYPT6g{Qo0 zrZ#fz?P&~Wkw%IcWo(gD*-g?$N!myf0}MXZ24qT7YEmI3HPm<%a2ZJ{I8lXG(RSv9 zP_vY^w<$@rz>BD=Mnt_OqRJn!|4NCfAs%FvUtz5LKs`+oEl8_|rM;-9ZT1u#@J6Pj z9EyT)xK)q6r=D$OGnvsGv*Qi>*`(U=bXf4A)NGh@Y{y949xxjQzmHENtnWQOTUv3) zxdIYrhIQ6hJ-$%6@0eqi@#)L3Myz&8)}KqnAM%nm8M2vb$Y!QWagSHl?s?>0H}u0U!1!R-19{WC7(2 z=VKg1N+=!v>K2XV&und2P2O~L6;V1wUwNA*C`D~zB(Kib@~(ZUsBogV$S58cwu@XC z23vLiA4M=%_Ye`BpoCw#=qBJQV-Q%BtlGIaRuf7U;U-< zzp1|{@{0bl5&dN=#F0PkN7pz+e|e%$kN&cra6*3>Z;U!y`n(J*vw}!g1AQGvrbVkEOeKmNpY3 z%8N|EOf+X6qP&Ps^FLO9sXe*lnz#}%jeu&I*`#=L{@bcVCh!>J--ps@6Mto8rX;By z#RD~BCsY$twx|);+EZ;vjI&KWVu#WrlswM$8PaYg@x)y&9R&bmn{ z6KgmIVwAndeTJpOEdSs>E6nk5J#a=c-lGG^wY{ zD627R`VBu;P04CRm|#)v z29DqMwb>fBYYp#E#_St!N$y-+?6t=EL?Iy0V$qS|SvrZg9(%6gxa$nH`bf>U1<$6U zU+`*aGj?63KN+R}X5}H-#0aPKm{q;>7;kBA_sCRR?SpEfp>1b~vJ#)W8!on#6;U40 zR76KnlRTP==qRFV96?9f#5s=*N>35lfTGRO8Zn5QDhdZWG107zrI@x0uQ7W6$&6pN zW|oT{;5FX%aFnBFW2x zB|A~PV__)IkN}9Vlw!5+FW4A-wW4%u?YBC=?=4+hGdfX~ZXB#MGNr0v95VGqGWS;% ztgk3o?TJiEfjE8ju$lCsAfvbGsa-Snlf1I32tRiV8tM|gVm-j!M)20V@GgzSz&Al?oX|7 zR9eJ2&{t}Q@NeGOM8&@952Qk=fTOo4>Y_E?&EJT>|gr)-7L;)dqC`ZcAZn|8dby3cVTyH}8;n;kFdNv*Mw_zA|S zQ+<(%qLPf{u(Fs`e9EL^+6*RGD;&Mr0|9)jHIPBlSF#vb4UZ47W<+q;FuG-@}&yhYa5rq84+k%g`U@bPwUvunqd?e>>y;}O1 zRY z6Z*fM-(%Uy{QjHckH+s;9#H%~ouB^~`F*hPflGEg<=hmay>p+%>PD^$KM>vM@GMJ~ z?AIq`3zD4;gRNCYPL6K8>MPhH64Do`Jc4kq7r`a+9g}ky8KLBRio7G=aWf)-e3#Xr zuSdQk4Y$tgk?y`~w(l~fI;3Gc<_p=!K^ndiTLrvfm0>xEZ%X%%LuKj1kZD@|edq)U zgxT;Oz{(m^!%|W`OU$kFFs2ydP1yoalAyk&6aIE-C z2gu00=}0k?htmAipe9Y=5Q9l}rc=y9`ux>y62%g!HQX*(%Nb5j>7H7b9PiadN=}j) zVyf(?h!F#)iq~rX={ICgcO}}c9SfW40&l@<6>P6ltC6p?9b3F9^cVXGnWtfMnWSt) zV)uN#^AQo@kC+D9$XrZT)_oUjzWIO!2nR$zuq3auRzXn-ld598-=QACMuBX<(M8vm#A^V#21{46H=WPbLXs`&W>QokNQ zw|%Pk`ODAZ{Ja}Z`p@|}3?ddk7aq>fH;@X`)+wevjHRp0RME?i#L}mm$>O|m3@knS z8)E6EQ%shQx8|5xTIsV{cTpUErnKT`9e%!;21I}IqT=UTdf`a?e7@pm!|@>L*#Eqx z&GY<>uL7W<>(sF|>oeLzHEoO&{51V-GEO#9rlSP7M%J}>sU*0>(gX6?#@i6YJj0K5gw+ykMfH3PLJqvL}$0&cL%+cK}r$ja&kd5Nr5 z73Atngt+6c3Q%TPM|OG(R{5&i0h3Z})#>>ACsJqgyg_80O;&F~iw|G9v~^_gwq>lQ za;D&Zb5AjxzsDaV(E`b2*b(`7af-|qc&V#7QhA6!l;N034VX1c+ZDOK_^z}o^FC_u z8>=7}-Jr-N-LOf>)laprIJvT=aca@i=EhLVY9voKkUhY4L9b=NEokTJ3cxG?OoCi5 zaHEakkh7fRWQ%=APEsp8OUx~H`oW~uTtN>?`K$dYgDV==)s{h*IYiRMVGk9gt<$T; z^{36EV5##yK+ijYB+mOw>FV`8)H|FWqR%p4#P3JwwTQ#{FBf1wW4G5RI~zPXx?EMg zQ|)M&9OE;-@P)px*W8@w2fx~b-leyEC<`GmzCKNFU@^~Rm!&*Y?WfAx$7hV~s$$C+ zbNf2BF4#*QyVVM_m>Ij%3bThgHY#D+KMthozS0=p zZAxH&+RK&I-Vuz8%wdqI4rEW)*_G7AjD|*$T8sixLg|?EyB~}0nfn0s=*s;2W58kT zIo%%_H`s5yUKJUiDQhj+H4;jj?qZ4g(#LWOa=6&y%BD8xp|f}Gk@cp8S#Nr}tT5|M zkE}N(-rTQ--aBeX$TUA)rukV%SP|)L2)!-nXeZTCyUkZ^|E0jt!k$=OlzbCKa z*HiAn8$|JIcQ1a8`5@w9{Q9xQuRH(O@$1fGD(_c4Uj+XA0S%p4-IoicJ3vRU#K0lx} zenu6&`Fz(E@cG+B(+PgygvwsU6&^m%IE2sN7aV)>`OdH4b9};t&8rM=yRi8M6plGZ z?NV(1uMgvF9uj8yDmFLQ3;#p;`=|R9e?J1flK5MXE?<5)fA6O0N8@kvzM6ztjgAPB z8xHqXcl(X~ra?_HxIc2|m!^QIg>pvLJ-B!HA~&Zcct#|%u(^m~Mrd1{)v=EZOCF!P z$cz6#KA+rqj*Q$ABg+m72o&3MkkW&>a|BWnd-%Lxz& z)!SHcdRB^1jcc>R+pN{u%LoyKYPB5~2PITT9wt=Z1vK}1bSQ2+yED#h_n6!^vMO?M znn+U-t|D3EQuUjbr<2TO6YD7?YYmb$VP-Ux(jrAosEG+aSC>{x|d61Ne{pxA^TKzVr!xn*fw#e(T2xhQs(xp>NTl-1iuBmd+F6#jklx_()j#fI7c6f7he*BYN+qH_2-r zbXX)Yk*v?eOx5bRkG_<@R>vGVM*gA&ICIPKy0GIe64@BNo)ne>c!`QC#r=(#eS}9vOWB#kqNr1B%*W$H(>bc)_X#9tvWp7|j6a)$&o+TvZBUytP)p`M7STAy(vgbC*JtQ6wtYhoq@Ov<0{R9Mb zty}p~5N9Ze_<3-%(HC<`<7y{-2J2x3)^; z;SW?@-!qf0G?VI7(iTYym0it?An-$e17{H7lZe2ngsxPfTtXEpG?36(73xdF0(Pzx zyO@ToV?Avh$@xfb8*O#`l^FSJLR8s0&ty_u4gzvW=VY3-?rt&(@u?@;_=H7Ud6_tb zGW}F9lPtfSa5+tfRU;4Q$=LB3mof9-j#J$~ty{C)7s{<{^LI6~yUEB3ZUeSCvYu5j z+vMt$E(ubj3#Z#AoPmV67lMV{pBM?(5y4gq`!(2Z?^ACBJaug8JgN=wEh73^ZGh)d z-kW)UmiKnvn`O&~_jca9c$aXOE=SIuHd5i{=gaL&*?MKHcsOuC)pn`XaT8-vt$^a= zAyGdla8+2OuBU#tRljc4@3!jKt@_McDq0` zo7h57cJc1!y^!}wyt{dyt}S-YCQja`FYwG3pY#qcsZ#)@37pD|IDZMe=oY!V&J0Vg z)x3tv3h}i!O_jBCN!&lwx=Y}XL#@o+`ap_LG?W> zFACM@@C24m^kDfs+O?5&GN5CvRcU)m_tiFm-mk2Re=fRr#Cf0f`eT*(Q-qsw5DYG^ zGWI6UgQ|Yvx`p;G%e*?(m`g5%chnV%>ZN2tWnFI0q zryN%QT~dFjrqA%S9s>LeOPxu8f&>D8gtx73TFkD!k>yH4;CWj7uuMdB;zOkJdaH#% zSY`eM_xB_MB*q8r2aMETXw@$SxF%8mlZ)d77}it&SqkK%fQ%DB>K|&=KiI7QDy#m! zD)a3}t^Y2oehiff2Kd*@iS{Szm-fWlzgM;Ykoq5%8AjSqD(J-P539_duo#g`1x#)= zWftsE2?KNk2LhyH`V$1wg#a@W2t4t(I03p80l0r)Lv*x)`DJoR0yDo^4*#Jzef9<-BBg)>eObcDv#D35zphYeBC3 z$^rNe#LYX9(_h`p_D>pjY>BEH{p|!%C>|%F2xDbdt8`qml_%Pu63+vIO8iT[V+ zWbVSR^xcxO?~%!Ce5^HIg6yY>Bg!6xCn9&I$+n!^8@V!F++YhmD<7o<>7(DmCMMVX zPEF$XTd6?#)TH4;yhi)c4n!(b=!t5z>KM<@SR;_mJ=B?f8rDJ4byRvDY+>IsmRs4< zv%Q*c<56Qi~+av(ft9 zs^!0elP;Gz7>;YG6_alv!6yisz30)cn4HH+f%RZ}i9Zhu?=-nG(2k{hJsGc}TCol5 z;l{j&Xs>SAQ$%k#u4I;7u1a&ecnj|FmTu7Q{k5c%RzZ`eXWV`c#rH^Y9Ga!5zxp++ z_TfT>R(l(fq&i+C(}e2GMUr3K`8f@d(RmARPm!SIzX)d2dC1WwBP}C=~4rDEbcC7vdrX2a-#2wux7H&MN*7$XV6VU{dcMh4qV2EzdH z6G9H|GgEWmya73z4RZi`VlVpUw>}D1xVhurzSiz79kH!1G+o#!*K^AuN!ikM%LUF; z<+|oceuJw(Kk?XF2go1`h*WjiVL;BXfas)tNZ3SVGAld7QPu-w3rUsL{skDx948zGWEVt}*32UH z@gyLUyIbCAjxW?AwCCYPZqV3?8d zJXJx?8xyJ(!#yPB!a2>pSc^aHRe;w1#cyQYO)PAGyUOdF!4KT3q^@g}$aCqcztM4+ z6j(n3bvHHWk*Dj3V<7@s2H!`zLKV-7)HGlezH<>~yxx5eKVoGy? zV;KQN`gBH;H*c0NGB$fDDmo`b#zwIX4kjXl@J^=YKd@oTE3@dA#B7c3x)REB0n8-8 z9S>5-b08!Q_s|;MoMqh?UgWumdX<-F_6su8`NgfmkIa~AjA+4^L@XhN#%>0FcA96o z>}@k^tm1V*Dx!TMn~pv9Dm-k&WL#WT@J3a^Dt~xP9`21WdempsWZ8rl7J{1Kb4u#H z+;}kVfXt3=9|{Jwu)npJV^viJdt%LAV`oGZIvMft<5lnv0xmnVua^HNIII_G=RX7a zmpyra9JI+s4k6dp^9(R2t1Gsu=pjT;Tczdy-IRI*I6PObT{5k&{0x|OhByQI2dJG? zZwfDJn&jw?Hf^<8Q@aU;B$)wab{U{fiu&;mAfszvK?257KMdmfo#)UqZ>oj?M6PXN7ou3B#N%@#FthMzO53| zyN~9MJvsZXnTEt(>A8IB*D$<>lv zy;cTI8e0u|#stwIW&5t>9lM`xePfe|9anTccPiq`6uAsvCicJ|0ra^h=;)tF(yK@3 z31TZ{vF|JWv}TOQ*wM3}Lxsc43cq6(k`A7hrfQRWNw-C>7a$SrJ_Vl!Hv?@;3PKb( zqkOQUC3qF6MIW(?=Z_ z@XA8jZM+4CtG7)&49B~BxOL9k? z>K++E`bY@8&$WtZXlZYij?ks@UwC3`P|{G;TC=^Sr?`pJ7XAZ4qv+|4%-jdWHBa&jE}AI&^uq`f&Dmuti9uWqJIlmR2O@nz*w^buqvN5OLagi zN%8jok}%j#R@efB_74+4N%W6$%c5M`@uI6V*G=WMKMs|ZT1aS(vJt%eQE8N=zuYPi z!6&~rKF1#cpJ!x6YdFqL!l%E9&%0tt6(C2zXR3+M{1>Ix(%e7e?OuD2NBjw;OJ1Dh zEgk)P;Y^Mz4J5(Ia;3?$G7`8>q)}WjvHR$e5xcH8mpd#1p6O{m59=5Xm}gWL!!c_WIm~&cP&L1UiaYNR zw6aEZ$$rCwGk6I*M(*Z^wRpcK98GN^`pBajz5kPnieWoXTA?vEmMe97RW7i0VQsbnUGca9UEO%VYSxyKP1tl)@VGXhr z>hb-k??}A7>yZc4y)~SX>?Tvp>5iwwoK7n^HRkL`&@i*a!LeSF{UGz=Gt{k2#Z*_V z1h6>_rW3<=4zxQF4$nJW{P20Ll6kS%Og6x9BQDy`#%6z_<-1k`9FvIRYdHES=qIf?`<&{qd2F=ocnOwIEw+s*)#@K1IOek8i9X|1k(={5+T75rh@<(sI_gM8hz4gWe52JR z+(JCCv{ zBWJr_xQ5gYnR#N4m&nl}E{35maj-V4dc41Y>AW-aWm=F6CO1XTv)~420P_)nS(ReJ z^qVjpk;|{{92axUC$aM!t+P+e zQAMKhnM{oHDI5vi!f+0C_q|gj#D@^rnHQuV<-X!ZCHpE+;u&79iAMdJ*>4~p8u3`} z9OPA7)X{)+wwW<{I|*>ZX>@qZ`Sz7PDKTfedV?uq&KC(X^BbReLI-Eeb-^*!;xm-Q zF$b>TT}Zr#FHEUP9}a2SPj8605w?+OQP>DqyLqV~f;f?JBI4v3_O4});Z+?nn`TZj ziQNFk+eH`Z#x4v5b7Y}D9gNFAmqGKcI*8&8Uo)8Jah|7mp5=Lt$HkM+!`CIRX^J_U zK`~U;mvRn|@siQ5{ff&^_cDG$-81HKAm*ZF9vYMybKXKmqy4&yWpe+eTu~a%%A-_h z|BQKapmiqUCEQB@!75ZvDSssi0&59-za$J#B#a|rizEPxgn@~K5hN^^1cWFF`!APD z1yl|R&q@M=goJlg0&}?;tN0GH8cO#j^elcBZlyBdu?Gsa;2}!2V zo~LAE`l82U&gyCL?s60TY|$2JtYRjQsN@&*+tlZ8Khu;gqa^5UeNZm3||yi0RG z!i`;9$Twk71K}FHdqQjGTqZNPTc)#%JX4yQxDO$^aXfrguoFm)O@z!zZ4oI(*7Ja1 z*u`2rD*+Re5AyCp&5u6$lJK8nax3|jibqHARZE5mOU1L^7e0MBZzmwsuDtqX^O0Xs z*Pi7!=6vWGhJh&{laZhj~YwGGG z+W<}^i|yv`M?c^g+;|wl?khoF{f{;B0(T+tyEoaD$=d3LM>Fex-qDJdmCc4 zNRrWKfdiVsEf5V;!`v%GhTKeP;idJLNT3~BI>do|bY1Cpf`h~z93LYzKFNcN((lNH z*H-l^7VhD1%gSu6eXxyBl#19&+twtt7OYC^ZivnMm6*xsy6}i6TTqfd)atJm@n)1g z`(lc%?p!9`3*=oWueaiVF6cJbjbS+MEfdYVrf_Mgbb@4n|EHL(JWstBw5Tj|ONVZ_o`)DcMK}itJttHL7vGa8864 zUPJjvnL3u8bK+tPTJa+_X$9eom~)sAie8W`eAiFCDHOAXHX~Lv%hdHED7B#|cHBa{ zD)7Vz9n943xr~ab@z=pvtlVh)>!%n3^|TGKcPu7Kl8+WY4Jo`$mhnE(sCLPP2{gmjA6iKVz8c)_+{^^L` zPZkzg=J+ujepyU~Gt){x(iZ+)^=8?U)hS{h(PW8T3~6G{){Dr*I!^4+%QS>IxAYT zEGH}mh1QIiH!Y)d^Z?N(8_hmiL(e$4&#rTXr%5z3UO(sbW#_j&O%F&zBf0O(s}}A0 zF5X{`=(f{Dw`-QGY!}{5emdO~sf%k$C0+wf2EF0F=dgcPH^W|CHz-D%VAQV`9Z5Gh zc@G~=XWBK{Y)U=wWj0<+&UjMPLo9H*>BgAzsf&A3V$Mg@n_|BE33@_b&XA87JI?xt z2!g$(lR(3EOOZ1rxL2FF(_^gB4R(VmEehO+F0#*G zBa;UT92a?AA$!y-)vChzIJO@3p`OOPI+%zfV4N^&j_$i#=xD|vPZVE`&Ov%~R53=e zao!Bu{TI*EJkRsA@U-*n;1S*Y6P_=5e$Ml)Mw{(BJaLr~O))=u-UwM6EMF!X9%}}ks@61TEUvd$o;E`2jmi3l*_9v9#~PoB`_FoS2pW6jBy3Cw8b7iBHR*NC2J^u zBtMCt9NM{~ZXb*N6@87(UTs`6u^gvUk=l8y zIMEl>*tV=F9ui!=QdG#!TB&ddUbY@FIp9>WcoOwBbBhTH!4H_IzQmYVRs9Ng#{1J= ziQCJlAt$wdi&p<6K)lBKx(_T{L*4!%+KOziv5MN)sn|9w5X54DX!Dk?3(gg(&K$IS zrD&>5&Py0`(Hg?CL<&~3x&Ih3aQLzh;L=vFVV^IGWwESGBBSObz;78V{B_s2M1Lw) zt0qw=T%yyP7w6`$j`fi@lFcYdR+MkLU&$}YmWY!+OZHz@A0>5c`3p$!ZBo27ZU-Mw zjf`GQoXP)wW4oVQJ^Te*&3EWg9y?E4;T;$=+J;|+6~@?%HD=5ZkI{lHh8|Gn7}F5b zQo1U5{MfoN18u=Rp1SYb0@avgI+r1&l(j|lmtWKU(R=2_Vr83OMNNz^z$alXIzr>;X~&!WzzYK_QdFwIJTRxGaS?!G@N zGUfgrS%KYf;Z0m!81vMX*aCC4#c4(B>YD@ENCPZ_-XS6m5C&a-uEUC(0jI!!1Gsob zjDMH`-`T+cG|hl*Y78p5pvGWxXy z>|x256swHJgR{y}Ij{k)6+|1ZMK-EI)Nw!gX~db&Sd9oo5ofzt$rQzAE)v*U{f|^n z9s~ZwcAR}CtF5xTJ(vYd1S=9z9WTt_1_Zc}_1%%jSj2GSf*1=WBa# z{xgNa`ERJF7S8{U*!A!f+Jj~Pu7uv~x54DM1rl)Q#ZHfjt53jOpVXLt#S4ku;{CV%YQ=S%_x`Q(cj}V zMaNYjAT)lc7mejU6O%c{Dg?8hcwUIM%m*Q-tb?X4ca&n2&f1O&EN{1E35|X)bj+pz zFIf-COPX2wMpb$trHwWWoBd2`M8TrzOxUKhO{;1NJC>pkcL-{W1|h}X;(71^E}X;k znufQ=B%Zr@p5ysFlJHs{(dR;CyP5yf4prn3Ho2cImJZw?0^hAvx#)&F6Z0KP^k}GV zG&4Dg5DgsjeD|IB{KR|*WVOn&!@m1fI!D@boOo&qwb-H^h8?EG1l`#Nq!Dp<( z9m%v$9BKZ}Ow?B)KERHdYTYnqB`xev3yEua-|i3Rq{lT?#+K4lg?|oHRbRS-$*dX& zsBQkV?PF0@`=hG*zJ{uri+EI%6w0vUjdxNw29=&KqrXFL7cW{Tsw+z1YWW_LXs=pa zdqu-VdF@19o}_TtTvf0ca9E(s1JCKPh#Gt$s9x+_t~MLLVBhR#?lN zp~5^qV}tPHk@%+u>!e=&hOc0oFKxRlb>JVZe*M?%uwRg0I;?nD@C67t9wcO}6tJ>4 zb!#uSe}|riuSqqU7tZd(yS2tg6fz0vYUpiNPidhulo~bq7tk`%XHVlP0N~yz=#W$`$>&CFDe%@Sc2t1hPyZ)2NN=z(`UJaWcYU!6HKp!dnnqn7C=ZrG1`jN>5S-UL!ss9=bl8i9Za2@Uew&-6H_l1`8vsCA(xglLV1Z2l|y83-CZz{jho47NI%Z%TX1=NQo^)P-^8U7bJez`6% z`q^YFUTN>iSjA=GxdJ<_So9p3Yk_w^v~j9quRomECI(bJ^bu~jlhvxkY?bU}xx~gNU4|iPD%NJ%nU$V28-rO;x*5gz z)5nA*;TytT5^gnj0OZEQ@QD47vqd*zC-LDC{~$bb5jGBY@o@YN_>QAWY*mRb6OK-r z!zs)Ws|f1GR;@v7u_Ys(=Qa2POelS!Zx8duhVU#VyGb}pZ3*yF&PQ{b1G!K|`a?HZ4a;X~#8MsH z-RTgQs_z4Y?CS!K=oj%?)!RqvjZK#?&!NtS4+9i*q-?`H9KO+>!TDoH)6d~lF`b$t z#2h$sgR<#B)2Mdc#S;3@{y;F@rLIUiKxTR7s-D0e{3|l`j99PnjvBIRuoi7GM{YDY zSS-3_2O+E{6pO399oK^hD~rxY0KovBt@`h&ygB?9eJH+EYDmM_f~jn-34?o$&y<>UaDZ>|5d`d?7y*w=u!SPO2Hf#n#W z=iH9$DG_8CFGE=Fnd7BgnUm%tL*wQow)GO$wmND&%J{!2F=cBMryx>iUiK2bta88$*V9V53}e(Bnbejqx3jr1W#?rD7M&6B|wXKL=( zjV@2<3r63yLSEDR@X6Q6%xA%FY#XjM+@|8kEEe^hzD%vHL^bxYHmrzDIjHF0BV6jG zc}eo6%19~NvItepp4}s0x;R^d4<^U3@rZWJ8%VV>QW?Ajzmu+2TOEw%@Q8DN&wJQ0 zRHDr>9Ud`=m+*)olF~DbkK;8w!lsh?5RQh?&`L%ekb*Ldo4~4ML>I4G!&8LSQ2wss zr}$7lm3_3Hp*(~)YbZZcDnP#GP@c%(P4L^H20^F5qs2n?4l4ay0@oqs1j zlDSy?NW(X_=|sIuls6n`D`YA)O(>3~k_&$YH_6YK$?3yMzE7+OB0V}55Q=N;V(+$8 zb?ft)g`u+JA#R$S+;nM;>t%vAM&}?l*{EQLg0?+Nd>fCXv41cL9IVX=_{uHD za+9CbP6ZYXL+Saj)HLhb7k9Bk!ot{;A+`83ou?Q47=8 zW-dzTv*Q79?AT}x+)2{29$iVNnQlA&NZBQSKya^+r6?ob!*wX-EqpGC)!WAC=~!`1 zQFopabq^xrnDx{ z?o_KNOix{=ex&vbl^geulVITLE-Nu)ZZ7Du&6yo^Te?yO?o4bo#-Kkb3|V+-Ps1!6T#umt`; zz$V^S6HoMpOf}h{KHLX2WvxG5)?TyZpsDPKsVmjh4I|jMibG`s(B$o+pOaRsb}4a} z4dAH6?j%--vJ(Ui4#bFvh<40ilVZEcMsCGMS0c9KY;?Nfpw_S6pDK#ams^ZaXywZP zGU>*r+t-Yin()+xDT)WzW}6F<2Wf@JxHY453+9Bo$j#Wdj0tM|D`P?(J#j>P!el=% zm2~p;Y@Ob5?1L>>sq6@Boq}tcg{wQ}>^{rvW2INpBW|5z*yb!;wTUXNUM)6zb#q5M z_#I`{t2SN5ZuKl8&acD+t6uC|3Hc!M=4+sQwV*8fJS)I?;%`m*g0o%W97s3y6pyf< z8&>@3MhoBS$ti>Je|9%)sl~$Ph)BG7J*za%yytYlD7MYuEz>ZhI7E0whDV&i5_cHD zU)-wmXY@{ckNs3Rjb9&E|CYVAQYd~Bm z{{a0pRQACyabc~w1%cpHE!`A-Yr54^Ep!1{lr*?X`pVp`*6PO)nYQmWY)&=6wDP zX+*oMz%nA`*K{m1h48Ziphw9U+=E?wb>bzaLHxVe=PiV;u=u?{5haS|#1t=o1aff65>`Jr-`z%{ z$Jkp@T%y&tkODLNj7>*d0LAsG1V4*B_*#38(@l1!zTnb^*qj+!y{tDvAE#*b&!J1G zfOv?jfOyT}{1dz$=`lc7e36TaW6o1)mu^(xp4H|pF0RGJxoq;f6q}OKogP^5Qx1)+ z|c~KO{%OBhN?ofS4c)f~oXD&!dfN7wbN2{|OK{B~Z@6a1D05!#M`K1bA7-4V_~A(S{n)HaYy2xaqDR0_{Eh`bIxod#;dgNYzgh~#@ly@u?X@0-k^e}e_38~)Uk#1- z)i|?E?OPqUQAlWkL0J0A2cptfroD=xi@TS7;IWL~Rl(`>*Aei0W3`1}`VsK!+k>C< z)ljRi{$Q2?Ke?GMj$cn-EhCn`s>b+`BySS^)ql9zU!~NjS64}Yu`fiMl?@lZD9z18 zyP~g#rqrzKxEW|N<5~OPs1k=cGP;npAN~vg$l6z@#%1j}O4gQ1A6v3^c#@1g%KSe# zG5?De=~7A$b3nc_bzyVnV5jiaR#4sm84!DF6{R)2q9ktC&4LCB415_HCKzFYQvMk$ zNw?eyw7dVpOQ`G=X-n-q+(g}!!s^NCFJ|3AJ~7}Pas80zrZLr9)J{~prH}`{uIV7L zpM5sx&W?|MN84=i3N;XDSh82XAxp#^lfB``^SB*DE}4yaf$v)=zFUv@-@~k zxV4CR2r;1;uSvF^8pV5pJ4Df<(i}Ia|8jOT%`rv(ukHMy$M9vSGve1XFEc(QTKP6! zwmOmYCzUizC8arX`4wd?DZ@u9L#CBME{{ude7+){?T~fKhh%O-%wiU`RyT$JA7$?X z-(-aMy9sL)bq3&_>wCW_!~gVnW)O7WKe_sk?siu!-wAD<7+Gc#w-oS8Xu z=FH5QGqR>B(>O)`utLP1vXgxQCkQnRVlmQXcWZ2Y@-|H!wd1yoT$uTPxlaT4NsfV^ zrfvl*etkD%x4d#*=SUEvV| z+1#CTjxbt1OA&RQ=3=={Q>d@g{3{8Ak;pYbafg7bG(J4U@VpBbN4QhNJ1KIlCXoBq zDrqENNlWfAZqz)g)_vmoOPM?#ce1{r_1|d;A??TcRqA~aWuxS~7MX!5iPNaPT-G3M zp{mct$iQK;TclRC0V{jzP<%_YRgYE^OklONt(;5Z|EkUJX$%iu%WVbmbAcb3&v8R> zVb|(kc;2ZV=C_)xU5sb$D#+{H1HrnAg^tz^JO^sGYc;=2*05}7b0bcAo-M%C#?++7 zm5i9I)_uATO1=#M%bXXaPc~L}Nw`)@_rzS^Um`z_@&5q5>sg758rKLE^MoAt;f)P( zf8aIH)$p#Q5quHBTSCV5I^+4kCR{Uh#y%vfT)P2hV#`yAlwp^<*|A+8b4;VQ0V}U-K%d))-Tn}{ zjg?8RqF>iF2tqpO0&-E0kZgpl7W|+v6Rr}STA)+0GggLCJP*Lr0JcExCIt#2K(hc< zmvTmX2CXOFTp|~8wAGOerN46yU^)IuiZG5lYTV2U3p4xYjr#@qdB=VHG#t!nIFu7L zMv*qKKI*WR0nU!+gvON#>00%f9v`gVBcF_pcwZr_bni6jUUU9^gjl)zOTBjq>Lqs( zwjAg3?Td}Il{!x2ONQ2Lv%=v}-@?wagQdiOY+SYwd?x!Vz}qnptZGZRoEgD*!j(-h zP{l3uug&@ErM={8+^c*D^S;QhWvp41ym_mn48zVVZUHH#h)X!un*%q-!w?p#GNJ(D z%iP9Pbk*}oj!d|orv&b+lEz|WZ*3#p&E9%rIFMc+b;1WAHWnyQg7T6y%EWUWC?|qa zRyM_?)~-`>sM#1rK(b=|zxFFWJ%vqn<<+AHi8SE^N5WU(5N2+J)wY} z%K$p>$3Sxdq6{Y~f@+##cwNYiBq@bVNJ_KM@$-{7g6;H%laKk228s3k_baR-csImq z4^?gSTOYIaGotFY7!Ou`7Ov)^-HcyX#HQMVFz@Gc|Z*)j7PYeO%v z)ZNoH(GqF-AyIGbD%qY~k42htcn|Ox+XIi3tQ)vyV@Y^g1IIdD#jd zYj_m0@oaCL!?L^wf{A*3#@)M&o7KK{b@{rotc_JdSsO9I@67Ssysiw01GqptG1(eK z))CxIcLr^c16c})y|#QVKt}3|DoUDbo>MesLzAj6z_#D(%(guM+T=MHKx#ia{Elkf zZJxvCVhp9_GN^ekH{Nixc)7jYY7WJEJjWx){|R~;rGdB1ypxM5c>5S@4|>+!WrRGN zW=;-z-juXmu<)*V?^vC7|q;IJc7eBc_F%t7rUfm>%TCs^XKfPW%w(Jfw*ec$pMKA zsHn0}l5oz00_Qxa;E1I8CkG@hprV9}G`_gP7gumZDmaM?sHn0pQ*hGbR9L|gso*3o z&{k2h&0H`_rbo}_xfdZewn|Sfk#U+LMwr9z6z<4dBEwl{*DOP>+O0|q;D!koXAhwM z_*pe$05F7I8b;Xv5TlJR*p&|O+P1k^c3kBub!<2f8GS5l%I1z7oZewv2{a02piNrt zi1`uKoYW$OZkN=7$<)2+6o#23bBpc{R{_bS>`XdmloV%KoD|15XknyK?@8jwuq+-d z*;BJrs{Bh}^0o=`-5MrUV%|3DD%Cp>@xDir&0MemDouCKhD$}+RnkIcS0yd}%100; zPDzUjhN4J}6Dm9nW`uj4SwA5)Dy(KW&Dt8`s(T4e3x^k`=Tngth>u{T-j0LGY-B|N zkEc#-F~_jV;3We@2hs5J#O>yoH_dz{KhgjaED{K0Nh(v3h!g0keLPgPF63!6m%apD zuskFLOX`IL&GO;9b?+dlw~vU~7zQ8bs*XzV8o6zm8t*il-wqEv|jpv|f?l}}piOm#@_yF1_2(xtdEI=V? zPtCt0-q9%Qxi$UihEmtAzhgvP9Ego#c=9NL-p|L6_lXD~{R+It^$%cbTa&$}4kbj! z&z1Ve@(?zcBW#NIF@A$( zQ_b-$ME_m*5q4DpxJfam3T&6aK}nI1c!j5(_YQd0QKZk4x+@Sp9df6dC?(uQ?l8fO zbtZ*7az})F!6qf#^X7@%p{<6>pmEAm>=aRdMA)3z5e$v-8wmyEN%o;qyh>yE^YD5q z?Mv~^S+iP3#2HAmB_!J5$TFLNGY|yZcQP72lC|PAS#?bpeQdVq!RmyCJJXp8P1)7T zljllREu%{fQ@yqqTuuxcag*@|hnYF7y+cuN6{;pHu)U8nNk_fMo>D(AkWOgx6G)Ur z-nIM?+VUiZU1j%4w>ef36~B;gmhM2TCh3Sd*JwiP!WHNovJ?9f$V|84E#+tIMsEK6 zk+MMahUjM2o02uEY-c6w9@3hPCrJ`{6e?*X(y>tRMZNnaL$k4*A2E_4<^ev*{1=_D zmY;*awUPg6zMLm2kga?Ixm1_gqC-3M&pQ3HS^o^tAQk%OQvEYo|Fi?bdqKQ6B)uyK zRJ=Fj8sU~2usS&A;v;H2NQLF3GU=RdDz~G>3_1?6xEgpnB0?*@pTAm`-K*qoFn)y! zR8DjL^=b-iS$#}Zurw6C+s=Oq4VLlCQvr7$x#Gof9GI z;`nJVr-~_w-_AY@uC{*3D)@euRuBgpjE1;YE?nf2?MoEWSHGe_|6p$xd|&MciMg~+ z>3EK>iAio!oGk5tAH>t;$FYk}PPn=fhj-XjxW<+)r#&~2!SwG_IEE0*#CzZw#rcgF z%a7x2)El!m+YJncI*ICy>Q1~(edCpm_?7A#hX&M^q+3*QzIyV2)W1rQM=IRN21o2d z3E*L)rjVpFRgz(+sgP`rLVjD%ApT+<-v%XQGNuhw=|($Y%W>n$sdheWFPv1jNm{9DmM1N!pQ0 zI>?Qg_NOUgwJM?1_>4gK8aa>X*x%*0*fHSQK?~&<)to4e_m5=${2~(HP9+xV#K%&J zg)-+ijP@9hN(n1rD|koxrn;Y;gcPlENc*^MJV~T0-p`Ae5ahIBiIiXVTDf@`f?!mC&KQDqi;*>7@0e#$rG_Oe`vII*bq(=FJA0 zrF-~nl*Z)xaR?sHf_AaJ`(OnxBeU3djUsdFhiYY9>fK4Kx%d+D%SDjAP%Xyf2l-vI zoIlD<6TcnjkH+Vep`5}5s&4CI3sqHjv12!8LJwQEQ~l8a(b+h%a(oO}z$!S5slJ`y zehEfxhm-DP9!kPrB*62Uq@<`@oY*^F0C0p=@Od)d;}VS8KKFQg3!zKqz&WjVQHlFW z&^{=zMVV?DT}Wn8kALl8(BjZh>oaVEohlNcq=SAWT-0_d{vCw^%QZ~s(m*xuSw=k; znc6Xpr>&OjkDKtrcA}b$PFH}*7Gn8*5R#Q66@KxmdM>07e+*oDk5uZ1=o&-}iQRa! z48*iCW$C#^R!obFmrD#L=1*cCC4N*0`X(z!tI0hMW$%)D{}f}H!{t0$XR&U3D}HDQ zvT{3H--8k5`aq~0_3b|)tAInNoz>V_l(9U|K^OX8>`Be}f1}_E>neO!?5tr=CAp6l zNN&E1>0zop6Ag7ky0aOXXo%Ny=qNnMYq}-a%GH5``L_F_ywmZgEpG*WQDI%keY~yl zi-gp@n#S{#8EV4yphFsq8y@Vp90)}5)i>L&H*2hJ%uyUVpyfb_Jj^Bj1kj&GqcthJ zlN-^O|8}4FXXsJ1kXKWunhAYVP9xmdw4fHsK}8vY1_lVMDWW@NH+8hd<2EgFiKaRL+Gl^QeG9c zj=RnzT5l$k4|P+ud;wIkYd^4zC(}8bbW;CR(*5bAXLOR>yHL4irjwTGq!UQueHP*Y zNS0NjlSF^Plaq0II@1JFlHQ@BMnAIhsP!*MF1J1kPqO~QyG;bp$dicr2qMc-4xlVX zqyFA@%Q!09kDfmAbb2pIkKJCx?t{RzF^S40geJfHyDYXNR+FLj2}=4WAC#o`9$wdd z{WNju0$)8r75KKMLXg2r3)2PuQK!F_P9IrXA5K@R3bUsg0_{PlrFtUtO_~wpgTO~TCs~{P!k#uDyFg$z{{WhNi z^yfi7rH#1k{(&gq1WzHjXiV2Q?>#Ng#u-EH3M%j+pQ-{3@$k7F^P`asa7ApclhbPu zL+EP&)_%l0U;Lt-uIiI)Oj!__% z*SWGXsy-><+R;VA#(PqWXqafr*qsDXmka@UPJ^sXf;iDLUKEhrHv>#=prN@_{NjU3 ze9z8NSzL=V!DCe~1NjnPtZsLP-$p1_HSUJl^=9pzVI(M+!XZ$8~7Un~7wRANKL&2f82!0R_2& z=4|e}$`mgBv)`tgMA|z8q~=}lvS9ak?-Rr*jHu{;2Nd1!Fm3tt#k% z9N>>k)<1TQGayGViY-dg<=v{wdq{G}xa^wCy=H-_c?Udlk5rEIHx&6eSA12_!($XZ zNEbax7429Gn37LY8Arl(s!pA)q8)e3k52d@S5bVkPMDTX_)sTYs}shi6W-7X4X<`!hD_ZdOG1zo$!oKcs89dPbWO86aJV^n5Gk=I^n8h!f#-sb5N^=jV97w6Hg2T zJQGhWt3E?+`?0(kSr~5`Dw-*KJiS1{ba;wF0ZC2|k9&hs>>B}dR zZS!7^YMVDjx3?VsQa?!QWa@gI`npbCBR{%HpV0}=>V(_V2@mRo2|D4SWWq#hHHKot zTJ^~ozY|RaPpV>{`jQn3fdz7|A-j5+Lmo;Qbh6OBB}u?}x}1TkoDAJLbGK337lOyD z$uQ^NBjeOERy_)OQT7HV@T)m{jEL0%1NX~#uytp6bQhNEhrJE=xfvhb6!WdjRy2JM z6&YYPZ-eg^@ad7_WA_#-anL1P_o)mr5i}dGkW2odo2rLBlS+J<(v=5_b#l~u7g(a+ za{f+@dhaEJY(D-{ieo=X|Ah6=0{ydpMvW&WolU>)D`hW9 z>%*L3KayT+ONG^f`>ia&Z@fyWY8}qIcYq~lwAXdw8K6rhTIs~)I`M>b;vMP4h)(=6 zjrPiP;#8gZZaVS8bYf5^Zb~PfnojJa6aSe`{N~{fYE2R?$A?5HVyV^dfTP|DB)3H^ zkr*}qPVo4uXvB;mfLa8-YiH-kS5@Te5^3vz{6R&oAkykNE2EgNB_2zHJJPg700MU( zMZmSGcvUL?v?Z}>v&I}X#Qr(qx>6#sa{|(SwoZ|6=*Z!nB45#wLpw$OMMvJ#DN^QK3Ywk~SsmtuFGWZ743dn@r0a?J zj+&;3l8ZBrBbgDG5%F~c6i^8Sv9 z*j;Dx=xq2Jyfy3j3|F+CZQ+a1{8IC~V--cP|BgOa&#MI|IPp<)0!ouVr=8V8w|2`> z2_nCoC;JlXLb+T09@izr)V@^ey+~55J>gN>O%C!#ALr06wH1E1g82AUkmbaWH+mcJXfw*B3T zuzw;aRlJU*&nQB6SE>rS$55at3Il^za9LjxaH}1Ig#xbBPVnL^zT9(;I zSRqC8GsKRFhO$8S64`5aTaM-Y@-AGAAKsk^S%bC#Q*P~HoBl}^hcb0EfZalvVY(q0 zyLMu5M|?!=!g67_)PB*Lp$B1(GJkFho?Pqwx!Xe+NgNJ%zM9)D(D0FQxw&TIMLhym z-#OqO7PEB=Rk?~l?$6yTm$$5=7*GWx-{gb`Rj{uS``r|9Q_2;wJXOjvbIrY6k;5?m z!7@^E+X&ZV^XkuSlX4DKcs9*-Vt5mk7ohMW>n;++G22D_$i<@Bl)O*Xr8!XbIklvE zA(TXJnXzhNV=Y7?NLJuqgHZ@SxINeoX{urtm}Ghygw`8>c>#`3m1aQIn(qmRxcm z6;>;*YGP8~fsAi|#&=o9_mGV5j(Csv9tf!YFI4Phd{lRh|7{n$x4B|mhVU-SFhWgk z>~&U7WWUT}0gn1hov*$|J#?ryL+5?c0uzO-UJ($>3ePg;@dZy{wX~Ekv-k8BX7AY# z`_0~Ei}?>*d;m85j_5x?o|+5HTfZY?4HwO#fFQN8LJ{&s$mk-w>i6LbGzv=a1&wo6?c;u2}Nzec0E9iOKT-uXUw2;+` zURZk)b9DUcZsPdT+4t*026!87Q3GTsw=v`~X3AI8xRD>67T|iChg{61Z$Uo|wQ#=l z`{Lpv72Kfa+k~r#b4=`{vS)T%bBqLaw!rDolUQ;l=X%E=!D`i8kEyIoDq{IK7;HSM zB*<7VwS%PUAr)f3+S8E2HkM>$)VE*@Sy(VSvV{mRBuoDb8QB>ZEE&1Zl3 z{FEM5eeun`Kh+lxk*NBjtLlr^9!cV0^xVe4!+~2`)LS*!*)G-0bL12h0PlB8nAZL5 zWh|DnPT$Jq6y{S8&M*W9K(IV48Okc;+-s|L?I#fvvoMV5cYue+)zj?bj5`$4ac`2C z@6W2_{K_$bC~$ltDa0<$dKlD13?$-+JS-_Q-&O*uH8`sq=LjTWLs?UJQi**e!pwYG z(^}6X^bMqTWc*z^Bkz2_!Ev5E{+_Sjo1QI+?nWZU`Lm|UPm?72v!;Va=#taBS3#GC zAaPpAa$PEkJhFPDQ)>KCjbXaCwsK?Kr~!IpRmf=@SvAHf53b}bI$}=D!|e{&Wo}G%}g+eg~QPmUV+w@@`<~rl#P!G$gaqIcd!@rYS=>G%q82e&poo<;1O_6hcmPAPQ z4O7i4TjYa!@k8~PXN*UH3r1hdS_ITAEP9MZMEFd%JcEm+&^V(lrmLpjKAx}O;HMiT zo8`Bc1*7xr%gBrFpkCmfSHGMPDn#32+HFZL(;kvx0!R=GxA9}f*Z{|GTYb$*@rRHo zB0*j%z(ean@p(*D=gc|!D!yeV)bSj*AQC~ zwdF!&^)EzE30h@E!Dyf;Xte~RWo}Xbq5m+T4+2{5$;&B^LP+^LiDv!O`#PJ)`}7y?l88 z0wg1hw%JA71g#%l7bSAp8WOSWzgtRFFA&Ejoq3#o6$M=+>~?1h8#c9GOdtMU3aav- zR>)mDG<=r|$82?|39wW3I_J!;sG#f0aA(HDt8&C|>x$evI*)9KZ#RX00ZXb55_@UP zj^?Xa?EjA-jWPOfEbfv|l=F|O0vzW6+5p?N}1OnRxvtGnW>=;Y?@obz4d6YWQSb8W!4=K%-tjw$5uA* z3Wr80CQ2Ve=*mTkJP6H^#tOtRFq6vE`Uyk6RWvp3~^%Sx`m1d`RHqwS7J*E1_V>;l>lfWNzpi%`M%nbY~305Frb;*>1E;GAe zF1fwchD|r}yPrs^IV9F}2}Xx>X~k{Aq#aUHK^G-kn;0`aAHPq=lK3nYNzyewa0`5w zV>S6rH=1N9_E@nfsEF^GasJHNTW-3CweV-;O8#8EfJD#q4Su~Vfgfi)ZDwcT7^Y`F5TjxRQAYF+R1$I2 zl^9vzGE<&z6UG@)0=O6~vgg)X|^CRKUE#ajyL49+R>EIfNZ$#Kyn9R7@F| zbB0RjdlYKR5h`Sz4LtP@8V`` zI&IL{uesVJhm#yiFl4oQ37$ra81@v~=p)o!uwe>z!sTF*1*>YR_l`^%o+)J1SuI|EMbo#p# z!ZKe&$2bhK$F=cTd;cTm!oN@t%Me^X&w8I(v7VjjC9;o*DSf?|=Udo=Pio6(Zar$CnZ!mB)0}PsGL|?#yLc&(4E5#MZ}$yii?hrJh>7C z+S7L*3l26}@PkHF0x62;nHq8N0=x3UR1-qD(Vn!;^7MTMX#4@;MgvhbMhUD?aT(vr zHZoj1CE~RJVU{~;E`A!8!-Z*XO?K8zA*;AoB{+SrzRh2XTSeukUT*fA=ysa(Zv`^q zy+-HU7WQ6IRp8dWEdoc*8;rYwmz^lJl@`j89_vR`&>CZBM{P_Nhr$jQ2x{N7`WpNW z+z3PuY2n=elsX>23TbBLeHWMf{f@xkV@_y)fO2QzSx;Av1b0l#0{6=#`-A#gkFG=CTQ3 zjF+fb-df@8gpKFE46&QVUFKTK|6WwHhJPDEBb!{zc1`iKprtbEV}t)ux=C!0%`>aK1gF=6X^xK0IKcM(id5P!UfDxGuu=ulc>sIMnt%%=s0grk5TF_)C<*BXQH;%5S@H$@cjpQ}-wr>ce@_Bbrs3%_ zZws+OYr=q_b?e}uHM2~n>gAa;^Wi_7*74vN@>x7UOn+4i;@Nvkd(IQgZk)sa6W&H} z+hez4ygc2h%qauW*@dw=ymLCeNZx?%Jw49EBcd4H0GoQG?@E!!j+eTtZK}~Lln6e@ zu0*h(t!gQ!)YXeJ!e^?7VrjQCskk!oT*p1tY<6h7kX-u_{ceyVd^hM9(%Ozm0vNT4 zki44DkkzAWg*-0&ii``(aVl|$uF#3eeSzgF+NcDZY;d@JX1{ul@`?2i9+U$x=Y<52 zZ1rRtb0Tt&wJ;Koh48o?YW>_mQOl%3#_qQqzpjNtR*?gmK4L|^7gNQqfWFHmueW@j zjp0juu`9c3xAtj!lyPMDMZ#Gum`)5@!?0MtFvoJ7Ex6cRkJPh@S%-k$Sj&+^{{!a2 zgW$)GQJ-bX)G)%X3#AlR?3IV${(Vx~Rq4_)>O)fAzRW{uH>OM$_3foXl-xI0}Q{`iN<Tb+$}* zgYGe4FyL$KjqfZn5jK2q%11dCV> zUsxdUONe630kF0&l_oVK!kE65!bt3@g?p=0!_@l2$Om)syotOyoUe#|ryMZ7N4dGG z9{++bDzCPi?zc@h&rlUm{&l+*(@48yoUaJ~47H5d(p z?pTUg0pUpo606{OQjZi5O_ZIS&U`cu>W<^1)uwx&lrhsG%p`OzkoS5z3N#llk-B#b zmbASp#rIAZKY^^(auoPIWuT^MKGrnAVkurG)7uJwaXXPsH~3F8qPq2`1CZ0lISWN& zh|_XB^_w4&ys*NW;5OawNe3>tmSvIh8(_NOmB@N$he>l%Uk?`x)7)U!zJU$}s*YjN zY`Q--7d}s~hN{M6L2gWercoT0ROHq(&(^z9-5(&e?viZs8bfngps}(U*K2SN9bPrm zDfjlDqg`%sTnl}&cff0Uw-^;20oUbV48pddss{E>bB!xV3Oo`#+WyF}qv3q}FwdC$ zyy}VfoHf$&=Q~G6{rN0UjC?Zrn*G^%pa!EWoAAg;IKMEf`ut_XO389hZ^-~`z& zQkmXXEkq_VZ0B2NsM)Ro+0A0D>69^Y&|HJc>3Rqlru!@8M#o_Jb7F*R9WzZg-7#)U z>#qVFnQ%nKYRRb`FR@WTT|=SiQ;>2|Ek3BWSC8e13K>SsZhP0tAT9OYGF!@(iEcC}GH#UE=|xIY6bnU}BV~f* zN!dd6vit0~KQ(qUiadOjh9FUa^ihMcVXDT$hkiT{pgL#J(Hlu>SBkVISr?Brx30NbFMnu^`z)qC1 zeF>!qzemayrNu2ZvI2TX0?}dtxd0HYqq)xIvsLcM45iSCtkv^HG*X-U1|gkV)y-!p zCD#P8Suz)_RdT?1MHPBL-X->z-k4ih!yc#c#Vp~qCYd7s&gOc;_2+lcp(Q&@E0@rP zo69fCQ6{XdMCWs-hM0Zv^K7c4EO3S_Tbt|*k4?+JU=P>A`Qg@> z(`e&adT|0ScLTTL@u4FiM%6%lc*q1kj2X z=FX7Akl%(J0t6RXS9a2n3f41SU^!|x!*aTW-Z)`!PxUy+xD>p%@nV>rp2w_ZkI zr>i7t%S3xjH5Mphz6ezvQ|!9Z9AlisFheCnI>1nP+v~U2oL|iVuv{zo5xI>81a4o} z$cUCnd4S(K5S!FBRy)eGJM8mYoBh@vsgJZ3(_aq$!KI%+CdhtOJ8zbpAF!@;2BWro z%XK3-*-Q)N?g`~?_Iuu{Z36UWK(DY0+SNq-Uuy8ZCAKK2VZU;6b{;MVXaqn(u8G5j zjytlTEK)x$Si-HBt+FpbtgSc9nQe{{Wh~2#{1b9S;)yu@^96Uz9L!l_}m=8@0JJ*$ctnX$SradFj`hN0ofgLEF^st zOBiG>WeFGiN^K{Yu}c_k;9Hu+4?W|gytyh|(B5fL)lDKJL)uwX;XJAxu&iXZ%=P6b z;8&#TMb$eJ1e(Kv7iPd0OL5;OC4NP`kJaVj%XQds90lJiG{;e}NFqB?P^-Xn!=&~p zewB*T6ikqyreJ`gKwK(A!A#=Wzg&AE-t>B?c)Q|q*>#(ZR^A?pPAlT}6&o)sTE1dtLrU!eyljQ( z=G7nLU(m?VYYbwuqFAd<>1I5^CK4=x{`WS8GdruU+Lki+tq+KlPXPoy$aL^}VKwzFjKSIxL3c|i zK_~9a!tG9KX)bUvvP%cu06|j2!I+Ar_kkbLMOuADSI*Ma<0@x-g%k? zsIJ0mWmLiO;0@_2-1bvdXdzSSkE*aG-b+_G3u#-KzZbtGQpjq|Z12OA zjv%gQ?&t?9QQcK*BQk7q9y6{%!~iB)NbXHyo?$tzlag4vt~flB zg6QF%5f1#RlJJ4Gd)CNO*Cl|2X9ydNZkMJ-6m{nwa|ymY zu48x5T6(OYY~5u*S5P z5%qhbR3mbb?bK#+Z0eN>9dZ`a%m?Ju0i~v^Wpey3BS*AQ|1sHe%jZWkujQ~SaKi_< z+SCbJL%QJS%AEftye&OP-buK#>2Eyu72;qadIwj-(6__PS90M0-{kDnA}`-AEs~td z!SELUx8w1K!BlcYn15~&1=M^P@eaI{egwsOXt4U`Oo2bt@aa6HWH4a_b$PUpi0u^u zn=zgqR@=$j;-e9=mg5r2W}FCl92Ikc#IX{1Mmjma<_peXyFjsBdO^pIh~>zVoGg10 zg2shFDs^SFXexEoSY8AZU4*H+3oZ_cttTY37d`4Yp0S-ld^7Q^`)`xp zHm;Iln6#^S(@kAyHRt~k!XjQb>Di`xH+8PO$}a462klZ}t(WKK6fj8@EBSvnI{SxRf;A&xtTAm3LiBW=7^G5+P7o~d*3M$%28S)R9k&NzYZI! zLYify6+Tvm{u*B?0{8N0kE~&q?by($El2j6x5Xdgm`Q#^ezDp>_dWbK`~q>r0)5j! z1p{(u>w29}sYp@;arAeZu1#g$$wK|fmgAdWiIx(?nVZs5J~x-hV}hczPJtox9zOf| zXpAyBiqH4VOI6ABddh!g+8)^WJ$MIxny6okKF;#Hh0*X8_7Dlz(>sKX_R0;-8B%sV zi3!(li4Ad6Sk_hF3)jeM{YyUlypI8x-p(m!JEwBhaxkX%|5nlH>=TNlaZvji5*(9l zZ*@k#N#M$peF7b03skL3*dpLd+yXwzjWn|{)*#r#UDZo|tLGt7R#GVAVsH4IpcrtD zw3YU*aVDCgLu~-m1HgWwO>#G2v(;F8NG9$C^nqfCr8e&Y z4`#794WQKgJhIAmFPE|#sBU$EtoN#%rG0)ocSwLWhFGqA7EH8&WA2{SLRGM8Gghpg zP3Gc{2nj!z_KD0jIiH6fs_^;Yt;CBo#&H0+*6CJ@_KEnS*V;x^^;jtPoGjxb8WhA> zdHAC}Rzml6M2xfw_Q|^q(>tA?RgIAK(lw;}t-M9JimNUo>>!LgF&0km$>KK0PQu;l zi#FNJYkO4I{qKE#x@}>bA4yaSHx`_M};FnZ}spRiVXi zzo-vgqF2tA+J@pVhg{&{2Ey&zWDgfFhWJ=YxF!=)2BYF~Rh$;0EzAC- zy6>HFSStD+>l8K&B^eRiqW3=@p#U*H z7X76urMUV}Lx;)duV+vx*lYJB7f0!}Qfir$sqO3jM`y=hFr&rWl39q4?@?MW~;l0$6?!{){<ZXz0L z3W6m}Sx%))jw=(rzM=Kp&T-@$M?R8J`6u~v*guF8e8XRz1d5U;Vp=i)r^M$%2|gsm#H5J#u|!-kBMmFUZaj~q)+<&8s8oD~ zOXlvqYK9Zfjh15;<;C*0*d_ITNsSI;7kx@bY_-Hj<~Z3|8CF<5MW%}hx^3vSnRXoG zTmW>quRiL?)ZcBF$YP0Wk4~BL~u_XExBfeTNumw>swD8ogF%>k2jn2{hc zO~%Ev8e4~w5WM(XpxPDF2Jmi7+4zBLDGK+Nyg}T*4YJ-~% z`(R3=pl0K$kp7C-IOrDRRLCebd_>Z@JDFr^jQ9jnpykcKsVX?W~iNcy3a7){+GZrX=yy zDLjAGcs6tF06jfA(=U=*wQ}rqrJk!#6c5Re; z_1Aa~qHIXL+E~Rzjng$AkH)jOGoJ6!SK>u!JTZmm-y>ALmM8J7PuIlCQ zjOU+%XD^HJWc!pWJpWA=A>?L--~o-`1&ts#iNJ;Ly6b2KI%~Qh`K=&vV15-KGU58J zMJje}644n7Q9vWQMI%}*jD`9mh+bAq<~mmpjYuK-Gm#0`iy%rE4zfnPIiO*{qGD)I zot*VePD)45=CFTl5ln~JTM1ZQxNDEBYK-4pZw1j`QE|F~Xy8sc@#zr(Oi8mWjz`iu%tV9tl+ z?Ij}AI2u63LUER%7jtZrmU2a)BVoLgPWkbCjlPz&-zy4L^}H1N#6-p`ZOOtHP0c#s zk6oJ`jC`9DzBnijP)AJ+$c?K4S!k-}=$L=aHNJx^-MLT3-76pW$y(HHN1R5!IagiM z;|+(2m-LWpSGkSot|QcZOfQ@aD$CKp`b^Dk^k4r}|FuI=+2HD~J*rPq&~(*JEP5=* zZ-MUUs@>d7TSx>XGnU^V5BuXjrF-ZLYC&sfAZ96+5#sYS@%n-oH^#~!K<=l_)A!S8 zMr>UV$_2F(Q|cpE#wHdPF`o|bDdI>^Gvch*c?u#wk^Pk2x9#}|kAG0SmOWxRViS!0ft3pkxU@&)tA$}zXxep69V5rfEh zk-UMG(`H<9`z?2YSn=Gfb09e6Xkb&ekFFA92VOOtUYShM1fffieE z{J0u_CWS|9|H@D6iG-il;TPm5-zW$BB4ZSPNqR~rJm{n*BsB^5q3%cxbC?#-@Wu0S@sfzz#)8pk&k3 zW%$obzdrqij!$e%mtekPl^59FB|vh_UN+b7JdJU-4d)KPgv`-Httt5ld5C0(W2T;WSJt*xl6yv8{pEJoEyt*%Z^y3ihZeg8NUdNlS+&N zKZ3vAeoxo<1(^P}4uPHj-3Up=j3~Z8?GI}g>hEn5pC{jJ6WaLYN=y7ZagZxLHD~x8IRny?!;hGOU;C{uN(WsD!Pa4O zNf%^&Fgk%lwmF3r(K(1|?{9{)^oHrKwYIK|E?TsRcN&HPo$K)N_vm4NEH59zd=1A~ z-ZwPF&qQP@IN#C3zT6!R-x$_9Vsp3Ox^9SHuGqSsK7jIH(h@)avmX+zB|JlyUDHeE zfnkt9)@m5Z_+jr=j~i-L11-rhA_p(Y@v(tV z?g#col+xRN{MVla0?T!AKj?RT+6NALezz~t;?LcXyNNq>^H7xDtdJvt`h@Gedf|9S zBVomw8T#U7BysMHwKU{?{EiwKM?{Z+g$J19_g`-Lb1$44G;8<8Lp-MwjE#cT=0nW! z<8i?MIvy>@Z$xbnCoziOoXnHF`$b%-(c)8@&|&%v!Y>&G0Zgs=xVMI^XCN!S^)k_f zXh!_HLUY3S9a$1homTY``3!=6pK8Te9#`|k}%9Q+)~UX9ORpn<}I0t z;V;-r`5d02avKl!_z{DBQ#z=PiQjLrdFbrmuv-g7>Q_Xo_9E~K%4Im0!D)$1PTNPe zT*n^%ra0}5{|8RHjJ;9ewB}FXG~Q+BLCkY#nunPxaa@&fZCj&QZ4qHE{E+h0ej4o& zpm`^lGCNpJj^LDtR{I;YUF?qRB)h?_@YshX#Engu&$}A0fx|YyYD>;jjATB))t9?F z*O)^v((qlZU>V}ka@>YCoNzV0u6S&+=*uGhGI(r1NgX`45W0}QOQGo}cr4y3JQgZe z^6YK_Ny+>F3xAys!D;^LA^i1KYfhrcG6s`UYTR&{;<5@QUB3sx0+tOw>n>$Bs*H$w=4l#c^Nh zYQeFu)M)go?)iXbrh5hnC(%8>(96!JI3kX3#64uf_#<$ll}%vn&g!AhYeLDwj>wc& z&3G2s&jXdutYGa-b0_DGR}0B6&Ap&3S2+Itt1`yNBuHo4uyZX0ea@+TcIo*W*}M-@ zIV0+mZ7wJP4%uFX>a{wHZ^g{p@@OZ@8 zg19&n@lp`eaCTj%QdOt@9_SImRUz!=^~lvT%>AmQ#j2#20b;SWM|#e3xQ{RC4|^zS zb!kTH_0lChM*~oY&qz-gcmB8}h=~BgK3S^N0#)iMs?;)F>h-$R7g(xwYPhqcRDWiv z&#zMTE7PSuqDuW1t@tPF_t#IQC7x}PO-XMJ&Zu9xF6jVt zQom8Eqz8Vkq%u{~P*u`xx}=yc=>R%Vr#e+gNz*e++P_lODXdE}R7vOlTuHk>kvi>V z#x6B-bV+CHlB$m{>HS@l)Frc|J9SB?>yloDl7#Vk>Cd#@ZK|X@R7np5MC+~kMzvnI z<4d|*N_y<#jMnQ)NeSb6ve9@mC@6!$PgaOs3h`wc@f3~tAF@iz963dTcvvRl=Ux%S zcCuNHN3YQHPm?}hM5k_1P4QCkG?5VK)LOBKiQEx!x$0hteyw=AB+pwf@~K1JeWQ$L zy{}=Da0)D232~MttsA|&)Yl!S9_XUK5m=<-suOyP3$Q+fD zxc?&g$L?2aGz7P@LlNKB%uuY=UQ;IUSHy<=jUYxr94S@geve5HvkYb`7_P|W!7^>N ziuB?v`J*o`=XON<0CORn4{2{RpeD;c^hB}NK5$nqrSb6}%dr5hQ+X9K7s?K>oU>p| zA_X(@z30MR2zW6&GJZ?r`mIeV{SvZop|;8W?hw#p?VR=22dv?kePXLyxr>9Hae3h3 z2pdlXxEiR;E99$14t(;c_wdv)kU6f zix4-3PnmTrBM$M}es5&Js-ReGB0y?7ui=b_LMxSd9JVe=LMk~u$4`S4pB=Euf1>zV zs(5yS*Ns-?Z>)V-Ogcxgd+#jgPi5obB5BbG>WH*ZxtNtU%{p1^^T+ml7y(MSk@j`( zRj2orcu?ryWG;LbaQ2PCo~*Xfz zs#V0Bm0P4@x_SjrBgTJ~+ocnzCT9)f_DGu-NSkk$N*7S+pK9}Y%;gvlWK{ZIY4llV z^Y^2S>d)fxab;ucFERhZ&ZvLWU4^Zj-B;c$jCI{1%nLqZ#eOqn%3X8SGI!Zmp&4^{ z#GEcx9dN9&?HC}Z`eidGMZC}cf)vYjFZw~+2m#h#Mz)Z3my=zG?KDL{TCN-;l%W`1 zYI`nOn--qI`^Nlk=LvbSSd~l}1wvyD)G%IV4vTn)>XHgGOX3hPRl*xILgx}>HT-f< z5n)^6cThs zrEO4ur3Fc|s4-%|XwI)BMl>ba_F6+5b5FFY2%~k86$3COq;a-k6kBfg9=1}A?-#Lq zFc*H9#@oUeeN9STLi7G zYl6Jx;9ehp@dN2{4F9Kadv%JN9=Ma_P-$^{4VOxkUFtLLgze*>=eBYF~R9@&kc&3aZ#H){E@O5ouTWv~Bt-DiIz4lre{zct_~Xs6l>ypy3m7b98;=|LqTeG%8 zc^KI<3#&k5FU2LroJ=k3OIk)Am>7cfWyl^|_tt(ytpZHd-!lHgr%Dxbk1o7b*u6Cm z>klV(PbYKFu)A1CV;MbY7Uk9cLH5~X3ha2i5NS0)_ME3H=~W~$rHld06OX=0$y3-e zvD{Tx`?*hiE@;pLputPQp{hgWx!QhkZKuG3c(+mp z^)qkhO>1#vjlkegrS^ceM=B6xSjqSh_<&5Q8SgFO&Ut8dBNN+m*b)UX_dW zkXi{Lt!rc$RH|W6X>Xmbq(@`C=Ae=u+!TVnr!fMIfdB_e`?M+PAx(6iL`Z8fGE&mx zlvJFS9$h7<9#Hna&2FW-C49ET#qwTGN{@(lBPqP0PK%j~N3q$(D0zZWlD5xifL`q^ zFWEV9iO`)>UzRaddFO(vcFSRL!DU8r`K#NimujmHd4IjaC-R4Lb+NwK?HL2LJnNH^XIu|4CJHf8#q+Dwr^vHkaaY3iSAstw)801kV{ygQV)Pbx?(?Xh z%r-JiqEZdiOSm*G|8;XsD+*fiOn*|A(a26K72U(mlKATG|F2md%J?TW;P$~2C}TKK zfsYZCPIZ0ieNy20%Di6$tWXQ$Qfx}|^Sa}|K=y291K5u1U5cvritX6A~H{@ zZAA#aG6dhm&O2t>UP4f0VcB4Zhk(&v{M-c-F*Wss$jyc@VNZ@S(+Dt?UNqb<{Et+>^)Y1soA)Y82MM{b;}plnlVR@fwE7!@PAZMCV}|s!mO+&ql-W! zTon{64~+d1(9bUr&|%3KPHY_S5+l?c=I}(<`whK+7V+LJ6tRJZ2j?VFYG=&x5=97A zJrb^bsH*e+i3m-~0}B7QPYEfmMI1{r3=^&+LR!=at9;@Rx?K>fjW)HLD|;Gc+#}V` z5F6mc(xgniQoUd^WFfc8BrjlrjP2jIK}%AvWYXY_qy~~0+w8HH@(>u$V`?nlNM*s2 z3Ho~lIv@#JgY}-{O~6)TgTax=(616Mzb@zXpU6Cpq+2K<6)K=E0|1vj(8stMiJ$psQNY-jlDvw-1nY2eO;YqLsm+(=Bqb$~#mJyCteGA4ZS!>{u>E?24bI<@9~#c;n- z87W3JJ3|>UP?WZK>S*~?eePjpg(oUq--vgF1kD96y_HA|tmnQh1ZUX0rq((vN#qgP zp#Yonx054&OqbVA$XDq)9C*qKh)qZ8_NLOzX{ zM72gIBy@s3o$#bi_*y57N+&GV30{e@9OtAHX6l3jo#09*jMoXdI^lyPRla~#%0;^C z@`RQ|HB&23ky>Zs_YQCj=o7AAs*i6m)~n(EzhfYfynn8dog>-smz+dKqkQ=nRrd-_ z@D=HV{W@WYPVlA^*6D;2ozN$p@U%`iT_^k^ov=(NoS+lBr4#Pb3GM7RL)9_)(Oor3 zC;Xcj9QaO`4PMJ}0?Z}p*v6fs>gafdvx{U*fr>G9ov%RG43LESY8OW2$(JIIfD$B6 zs1$|d5HY-}csodx=)S(MwAAK5tJu4MQ?a-9m)L(2i-5j^*o12Z0T}6S#0ozbke{EC zB=Iu_0^&D6%0@zL&@v|`-*!Y-(7H&TsJ|p=!IF7D2+5~)=vU)-?eY#m&s7}y>_1}B zJ})6JZidl~IrY1eMBEc$Yxrq)%}dl_0C)vQx#oo{yGbxn-CM8MlKk)sg%W-^Nquzi z!`VP5T;DHORX9bmG9Jqqn;nMcwD>pdbjqBNu`o%F)8zO|*)I*;kGZ5TT8NcsY0vet zt?E((SC9_Ku&m)BY%Wq|BQ*}^nDY}(AK8`@oHq#0i@<3v_$yIpsgno8t~`*;h6sv%cA&W)4Vlwr zKdFiOIvzT$IqHit@5^p)w3#AF%(gZ!ES)Cc9 zN5T9r4Xo_5X<(yykZRyM-jdY~T+M6sIo0P2=F`AjGlAum zSFN<)x>mQ2dNw1$W3x#NEFbWe?lL&ohe$F;wwe9`c#c0Vkg5Qy_xnB z_PQBzJF(YALhU(1?I{`Tg}+Atqd9ancX!dblb@faKi^7yDmG4=Vya6v1M8!>f;r|} z#At2_M7su}T}q8l$kEXm9max`8lK^CSR~H<759UDE1gg({mH>^4`GRAkb(~go4iF8 z?H06PI9FKWBJ0=*c$0SpA5-i*P2vE;-+*|k8kY=;!lYU#il2mzV%6tQwUi!}fmDNC z1YPL{gVrLCqm>zSF0$I_B1KefRQwuhu~SgATjP&-Q!oabK_eaT5qUfCiDz(gu?$FT z?;jw=TpA&OExVs#9R7{RC2#o7ok3C0Ku2n9R*lIn#PR=CM9X`;Fvo+C5UkoROUS`& zqU{Jqv*|ivzX4oexxnKp7Ch&{Py(e#+VzrE4fRlVMkXy^j;}b_zyabvBzPIL#sQVqN{JWll=bqLUS+G6y}u&a z3j7?R%{4j581_5aE6--vlTwI1o}N_q`~l>h%0JWN7%c^!N`Xt$1>&-i?n(DfP|I6( z1tZ?81qW5~t&%=URYn|d{mSFW6=XMXn-qoNGQr1fFTZC@H~ZWXY}s_<&Ja(0V54(3 zX(KrO67N3jf8mBSr?A|!iPxp@?!*4Zh-fHB;JyW)hO606y}0`jjCTKV1v~iVWfY+_ zO|q*n2VS|3*ts*{lL6Aow|HD-5^+6sj(|VOCz>I$odfIHY_KU$wAqR$2Er4AJT9l? z>D!4XDkOK3C+O~se8;hcUQZ{f3|jjlUWX7Gs@mCUWvvg69LmAq<^nl# z6CTl*f#8#SR5AzmbiVNz*fgsOYe&K@cyTjvgCI2J^VYc-w9uNr6EI87SooG@RMgiF zVEMd+=s?USE@sIiE*1R^&Y7pM0ouS0i_^w)t7$ZJRkmzmc8-;?(~A?&a0#S+gz`G~ zmp*H|&)O9K^9osX=EIem3_WuwiaO*;hu%M(45!N zwpvg@xsp`JjVRW?nfZ0UEzdY_mMBHzk70)5a+ZtyUP4Lg@;kO^NO- zlvIQF*rC|3AFVpT<9a}_$h4OhNn4>I#eRdKw8st^8KT!7NA4RD@1MxtQD05(eVX1f zL0k*HN(9w-TxUzf?GSc3_$#Vf#9?%jtFmfB#9txhrW7BXyFx7ov^_RvlKURZn&Zel zGlN|B|1Y^pKPeOgg#i)o`(VNlF>Z+yAkGXpz&H}9dJ7qoq4kfJeT*WQV8C^aYLt9W zYz)9z>=dK@_ir=ry8JEtxy9dE0?CMCAN zSmh=|!gUm_NIZjbKlx1kKpLBtWR~L@=8w!OLBl>MWf_NVz_Ao|U=oaqU&s6zi0ZOM z=S9ccqBESWt5=G3a_dTkLXEJDrb!J0_`eUW`jb+8w#VTmaqe_^E$1dJ%B!Wc4pBb3 zlPH%qPKxpiQ|GHcE6+M*rFVp}&Jcjv<4)W24oL}%>lqgvTgVE3#2Z=t9 zXu@$H;W**b1&oL`0ca!Qgk%K%IYMV}O!1HN*v)@lU3b}|wCwn(h`h9ScW;abcn9`@ ztSrSmhhKyQU*v8(e11N1QMIXvT)Bq0Eq*%pUCIaU*ROGpR?YU`S?OlGwDW%b|Ly(j zyj0t5udv<>!ttY`1s4yGPQ2JYia$>IgWBh~m{v*dmwbovmM{+Vmfg@$bWl%H!2>_#jYWBTPr6f$Q|o)58EhASY4pI!PNDIf)On3O{Nz8GO_CraGq21LTuG>! zgB&3N&pC?3RvnGrmTTu0b~Qc=bbj^VSHk5|d1Zu~^J8=mFK_%1h=LhUeE5@<%%!*G zI%_z^9fKZjIr0?6W4b%px5YXh)toyc_=BQWNf6_(d?%WD?8=Tu_3-aV-c1xFpcgte zORDAXE{az7LQ&;a>r#EK)TdgPR#RNldZ1$xCaR;w_5STG(vF?ZBVw-me=p;Mt?7j8 zOjSD$=<91(KoFJQUWMaS!^azo<E z6MgnzO#764NegDxulr;-oATF!5Ep|I28^bwA#quM6iD^{X+O{CP!_ zu{)5fJ!n52u)ew>)bHznr)9>j)f4HTB;p_FE6ySWi-AwGRwE>3aI@xhIpT?3otPTU zL|A-JJ9y%OXx<(%t-=36E6=tp_`3F&@_y=qPvym~ymv!9 zh=)(gfji?1r-G7Ogjn#fKi%BQT0J=;)Yy=3d(m#%as9qO`qDr!eBx>>K5LYP+zzo?}XK5;$! z!j+M4Z8NS8S~LWw{qKE;uU2)-Uye@^CerK7Urt+#IcEJ-b8-u=fLom6HARQF#&} zhhAvw8pO4K$g|m8V!$~eYq2tQYduvi#v=}B_e%WXT!$A$VSc;sRho+p_#VYR&wg{U z9O(t3&lcAa85@?MPi(%})u=%nV+AcH=NpRyK`I%kXV{1(X>X2teO4VsAkk<+#~RvT00RLF4Uh~ZI0G{f zA!wqJi<2PKm|!k~7P%O-#Fqi|XpdUkgVy%g^S3Saw3S*f37`a22;PeKcuX~mdE==^8 z$Hbyo(Z}v>U$C!~;R)pLm14X^-z9Vh1n#D7p3{w8yVEz-praVw2 zCTWJvZIc1RJ}r877MMskg+ixl&|sT?%3RY`V2|J2HdlAA%Z`+U5_22fV;Uy$yxzT1 zxXghV=WfaL?>=kR&91xd++T!l2Fe}`AC{&Br^>?flCVY=2rnl6lFm}_eY;4FTG!<| z9P8FWiBb;xQUc&&en)F01(;I_y0< zFra&2KqMZZ2H}3%vZ2`A%RcsbDp$sc>6KMJlVX>z62F7F)My~r;fp>dBuIp&J&&Mi zFJVL_1WV7i{gfzmgf4t*Nx*~{$*Nc`2HrN(dqv@P3%DeZIct4XON*~9keizL;%4i+ z8Q3M{8O%Wb>%808mYeG}|EhMha!vvVUlzWW=i)vJgs)5uhL<^5Y1nW0LoTM-kt=|d zbpUiM0Ok&elKxieX7k|3jAs60XvP)2=iZL)2RjA!x7Ym#UqSO^U+6Ig=S6>b6c1xz zMXRV|&9Hf4tWX#2ZQ6jgJ^Fm!P2C)qY`hjjZJplM&f^qiK2D|{Z+^QagAPK3L)gof z{g*o<35z-mo&(YhXu7}}N9GE&b=(<1H?(gB+WZn>NFbiqeQ3GyQHiN|^s}?E#8b&s zS3ZNftb6;@s+~jpvYzeH>zVcNo9sMzMK_QSBj|#X{w2jyI^4fsghL8v^I!1ie+EM{ zH=K2ITtC;_2QIk5n<{0>iDw!CeHN`M|1sLENV78YM5^J00@T$<1k2=3K$V}BJ&}Hc zsnG9dHjKB+XC9OYu?hunQR9Vd)4xcs3p9GJc}TcEDQLnJI&!ha#6yDejNU#6#b;&} z$f0X^PEt`R?-gx3ONqd8bAbuuAC>Gta?1muqoP&l-ui3i)*rr{qW)1DUY!JCdLg0y zEZ*~ds4vijcJ$O922W!{XaYA?zSJjXC zQ=Vl~6`jjS_Hip2t|MVSM_BVYi}~C$*nA%TlKF%%?6caT=F{d+?D^b_mL&5D@@E|c zB~u|QW+BGer*2^O+TI^pH3D zm@kSV@sg}0nJkiLG6}7{(Bk(wHoT0v6rOV#q##4ixV@Knt1;OF-|RE@1=>n-xPu-y zpc@Fi5rmz@>O<>sCi?>>+t*f^s+K9tD}z}?@_+$T#rPK{x04)zX`>k&I=ozaB^klJ~~p_fpWW0;a5d< z*&BThDe(mO9*E!mmLY_F*gK45)g63(q|yb=Lz0y2glht$B?&!w>>C4hC7epb3O)>$fvs|Q*Ml?z+DDN62h z?GiV^Tx9IB1zQwZHP};4#kdoi^HAqXe^5F-y+ehuE1WVucTCp;*dT@x#I)u>S#^=+%64 zayvaszW@O97LA&)K5aLbIHNs94ia$#OnM?#JEUhpvu1)P&~~31v7lKu0j~X_+>OL| z6+Xc{ASosRC6-PTlqR0jrk9F2wdn!n6o*@pf6zES-?SR*E6W zLy<-H2cF2CT)OmAS*rPr_aSLJZ$U0F>%Ntf`Z3ian;&GIC^fo;dBAE$ ziTlFGq3or`P8Gb%_U=+%j$EwRcIEA|y=?4`tbc%2al>WvFwJc3%tuhD>35d($+q*!jf%9fXWi+ZjjYicdu=rz< zqUc4$ia;5=RrhsVhXvZ^r@}0}fTZEoV7Q6_>0C1mRdshOCor%a&%l{@+0T0an1Mf# z|EgL?V*6RFVRU$Tui2Lmi=KyGJ-bU9%Z1%kIFC~m6R-pY=E^#Tu6S7C`7E5~D=YuWgUU-&hyD&gokI^=m z3aAfZ!a=a$c$M`x7*zlMy|U;8@}H;q@H>&Ruwx_3(ser^3I0BMKO80!vd4BAon(0< zBGcO^OhOi)qI{p>XVbwZ`A-tB2+>k`6Gyh!vO6GUwQK`eP?o&FNRUD9{?KE)yrnPN z$rX#w>v>_>YFcG;0l+R>-Dpv}cD6s62rq>_q4->B$m{NkKQjVvh$@%+ddwb28H){b z0OccUEFjQOI>i^$0#{nBQM>EJoh*;5k5O3*FZ8Mq-!Chl?mdmClx(Ck4#ts>sd^q0rZsh zUDj@sgvz(Pa@r_9Y@w9Eq1#gP;nVCM3o`7=!b4DRSoHH>k>040dl5K_bgoR$M z@bZQvq<5^3_f5y%wvquS;H7x)|4>5zN=>A0f1+BYV$EwKh)xPbRwB!XN5ymCi|3P7T&5?FysY}Pkt5-K+Zs4!F2(70*Fg zSdAY%y_{^TI=BoR&mpEjsU!8v@+jl;0fT2a6Y{`hkY})ZkW_itx4Wc2;9}4F0f#Hq!s9*cOv`5sGir}JUzu+iL(b6edENJer59M|< ztU$~y8r#O+ql77hSi4p}ScUnO_4fwr%tl?XOf6ziTGzy(9k`N9|G>6POVS^E5~ZyXEczvj#5^4yF5{f~3U z3MqaT;+szs*6&%}6nL_5mkMIpT0Ozy$98#EAH0K0=>Et7G07@I_GS6|2Sm+6{gO;{ zgCh5o^ozBMLu!1Zh3N=x-P^gus?m|#arB?kShG|x+ifspuB?HX$iu8&NJ?u%?yj^f zE31A>m~6W%^;XU5fr!WcU4+r2BpX{Z7X+cwb(qgg*8z5EB9VSe5Xn;}4Bjd50@3F% zh;IYL=pmeC2@t%bfZ$K`6Ci-Sd5SL$1oRppsN$ah!O=Ct0@xI8z0V#k0Rpk>7LVdM z78BqVlRXT;euK>?#r_SX=)3}!qd zO9Ug_zpvuba@DgID3lJB_iaU7B7otLIS!=uS?Maf2pKBTT|{>gl?4;f?(s9xcd02B z3M`Q8;Z#787bZDqo)VkqD9u6uZp|}iY%T?SJPxvdF_lJ-liA31+v4coU0%J`8NqmnSPuK_GT&-Kb$|voy97)nUxC_TvTLe zxcJ(l(?}t&3j9;eU|iVms|@rIj%X$rDS$MQwq&?uo6m8JwCjW}Xy_6dfIt_k)+xZ2 zg-4Js8P+_3v3G138}kNA9u%bs%@M{J7)y3vC!$fm`5jvPn!s2fd;$MluPSQ7GwtqH z?hP?r)syoW+n4+ZWa3e#iel}IgJ0JgVC-O1a{}mnPvs!^siwv5yzJX=6{s8i297`U zn6I__3;KFcbrlFoKMiQa<-Lx|P6>qiRKZ;eE#ciKKA_ZcOr>so@*JFEA{2jf?8ldd`lT1N{Axk*eAhQpg%Y?{l z6!Huk204_xrV<`o0ZheI1zZ)RmOP5J4j?C>oN7ZHor{lG$;x6_`2tz_uB@J_fUVlf zB&I0j#K8jQuc|U@s=!c|N?IY*jCvJNL(aaYt&%KLpj!}Bf#7frf-|MXSzwHu&+)0C z@yolNrKnw&4Uc-lo7F;`}$51r$V*o%l<$>;R*T8NQJZ=!IdWNW=Sv_tLtlF)jD#i_hRX^uR!DxBv9BI1Y1i^#O5zjEkvGr;_~<= zQG&!Q?Lk#&tcFG5@?vlq`TMv$wirP(Fix1jpjiQR6DF{F9B3?qXW_DMi-pTuEO*RK zTnm?f#aMsk%DDsJskX4#UM@876;E;Rs?je{` zBZ7NkEZ3Ok(OAyKZVMBG=DKm7Anz1`lCQC1gO&>tSW~x3Hz=O}jZy`Q2f_0fhzelU z>xM2q1ndV{o`0vJ2E}SNW+I+SFJX2x2FLc-j8~T0tI2wt{RM-D>m0(tz8sCP{9-uI z+OvsZfMvLnC#kEPP7>IWvNk*argB=T4@!ZQYp&W-D>0as|;`d^DBWIwE(Dnx9oagJN}al zilq~iM%k}hzN&USAcbt*o@rH4^Mqi~n446ZjM762 zpF+AW6dcNM_2~o*>Uv~5;)o_hdQKls!EAf)v3M(4ye34`d6n}k<99Y#8O?3YS}^M)I0&h zP&MY~Do2%bz2&C=M7bz`5=-x_ZqY-@lh`}SoPK8i>f*gqilGPs+}mdAHT~)syjpW( z%?H0M@$~Nu-HcB+$#_+zpJFuwj$O^B8eA=Sks-F`Q$fOyRSv~@$q3tB9%b))cX%HG zqy))1S-62uk*vs>LLE@ase;J?JSV;Zj&7zRP3M$BP8~RDK*3K`go5UabHbCA;sISK zmF8tsaNgj~s6>K%Pz$A%d>K$s0m7vvj`DER3uAc8NbR3StOLfBE_7wli!kP zOHm@+mJ__z#Z zGi8mH>97t})r`pH*r_OEoh&bIGB1aPOOu12LmadE^4}}tNSMP8dX|+*carr8#)j@B zzlnLJgG?;3SxNjj&Q?tadb37I-?K&{;?v!?TP`ZL^o83cWJrHzgG}=IqP`O8DOVGo zz5pnL0MpY9ju0bHTfw8tH>&9D+r+gHL?mP9>}hne6!l6I)9WaXpboK}D)T#IIEm%4 zUNj-E%7groqg1jus6gICUDBry*aU7lljzyNhqb;bQ0A~^#=pbo!PBBwXdRicMN_L6 z+V+4pylb7jvz{GTnr9!2ns`O|6TndLS!s#;3M;J`&G?BM7xY)p$J+p>; zE!N2+gHgcvYCza4r+iPa?yGZ3>u`=JG2(bgq7GTYC9IClGfQ3Na+$ydq;V7~EJTz` zt&BU*>qvH~EwLIopWVgJymo#r-bpHT2A6kV z?nY|GYai0(S;uznJnJ0KZ@!tROs0<7dw*n|zTcwHq3wfm&dpI9@^MPe(XSll8gy=@ z9DFOwS)6f4^hvlJeRp#be)l|@$Vqv4?&pLYjjRo-6Yyo6fcxSn;OhK)|6G0kO_CGO zznQ%99C_^y6*sv}vFY6m>PNSz^c}g^5-`VHxKG%AG~Tx63RlN12%kBA5`p@(+qZ?W zoyb6>zXG~(IvG3g=6h!)5>yVq-%2?A&Y*vR&|lO!=4!wBiq=#5hv)hToWPngk5&%Km#4mfwlTsB7J} zn(^~)$pO4pI+DNa?0VpNx2glm`M+}Bt@5zMe8qWpApdauyn8f*^=xmwujsXPD;Nzu zHu)$)GAz$B#;1!45QBqy`;%XK@*V5jmz=Sua)+X2zp4s@;ZNJj3+iSbC&1?%7riqf zJ8~|5e62v)L%Dql)5dPj?Y2H{$!)hjc!`4#M)#6W0jJ;QZp7!l;jMH<4n|*bwIIm_ z8G`fU@1-myL{B*aAk{w>OzGh6UhXn={B0hTTSY6;)dU})7QHS-pV50!P-Y#2`)DvSdf(M_7Nb)1;%%@k$pnfX#l#q_2Z))*DM?Phtq%xsU z0;^BZ}6(&(ts^vDb($p zYXIool*Z64`GO+%qxY{4)#2LE;u7@^_Ap?J>m>V_SZQMil_s`cpV0EnnICp2rfUcG zEBX+Lb3{v5Ek!ChDMsmZ76WBzPGzba6MIlVmWY&O!f8MztEVJO^{0r+xV|bNCw$iZ ziQcpQyg_}ov?W2_PS>RrVYVFV^16c?Z|wozp?=$M7BeVH4VtBl3fARTvfmuy;qvB? z$eRZ&9l^yeImr^vMYLO)uIO`0S+2C`FYc{KT7(xxonRARj4TUc#8w)-(r-SMpft$t zh(Fn{qc4cApfE0!#~E)`rwZN0QBlCyX@?2FXP_!b*e*LvrDF$3SbIDSpVA@xsp$TF z-_N0bqW1i{3V*olbNjr_nnR!rrFEr5m?u(=z!4}xCcn%tUi1m^s$ZgVR1}*4OT+MC zsU@3o;)U3Hg&d_bqK^tSMmRK626ATP?}wsMuNty48M0m?ts#4zFSe62bI^WyFA!eB zvFNN+4x9g?h3ZeZTOT0_6rx8C=HsFFs`4L0m(NzeP*wU{yN@Zp@(Znd5y<~!2e%Nq z+4`R(oU2gGB-#IRlq9D_+&sy2anr{!d|*tHM994c(ODdjDMQ6^qk#Q0XxlHATtSpD zZ#Q5{k_Ck5Mo%?5&5bQ2uA%UWr2n}Qaieh9F~L%ndF$!XPyE+1+elA07T{k7BL;1AbKpV zGHO8%EpNC@J~XEJZS~yP{*(z)`nesc?BbKVnfP|@pmeI>n2tp|W0Tx13DB`nkq%L0 zQu-Gvu8(O>j^)cph;t=NHk4JXJ5{KZB)h2+f6;;U*C|=)QL8u1y^!7neVZQrRpgH4v5Kc&J$2fT|JE6HtTz9f%+omRgXBKh!L< z{}|_6jeJ1@j>|N>s8ny{>kY3^O%(c!4;i{XDlKhsy6N_b+EaUL*bxm^v|yp z-cZz!<&011Rtb_H0hJCU>Q-qi7u_n^7o%IXfMa9Po3rp+SRf!RkA<(wF;uP2m4471 zDn^(baZ{rtDjf=7AfyoRI3Jv+A65c{1QtD0C8=VF70itnp@@T3fmI=~HZ?%EM^z(h zt^4{FzzE~80SnW}SPql%u+%TwTOvcDc!Ru(oOJTIN2aTjTdZVQ{~Y{}Fw78yx2})6 zH?L07Y;|eT`|hpD5~CEejxk&q{>j})NDyXP_M0HN#X(Xjh<@DSto{4<2#I7rfIcke z^{3|q^Pi2=M_DnG`XC`p;C=@f;$p*iM7S+bRy3*d{ARm9f1kh#Dlyd}UM=Y(Uc{A1jB(U`Vz8I1aVITByS8TDzOl{Xq6#3p``5|fj22ZXMT}uz`U19+lhEHroLX; z?JN3+d;2SNT&|nQ0Kj;lSOdqbc$HxOKIE=La)3S50RcM;z%G!4m@HwZ0S}JG_mkM$ zOYthLu3-M(WY^)fR_6TU{{8!o$qeSRJ7QwE?Y!NlKdgo>o31AdMTw0Uq^Lr!LUV17 zPvA<3f2E~*Q-#v3^cOZ!%xPr=QbgW<5{aL7=gCp(s5BXJ`~q=E7ORgYRsy6DO}ZtP zC@_W0ZpN1MFR5xJT5`)n9F=dztFLlM8)-zp+FdD9u~ekWpxGIAe&`~?MU@3A-QgkJ zYP8P4m;v6OBKMLTo&`+Bh6_YVIqW(vqsob+*+I(z7=S&4cY**L2Z%`_)md6IS^7vN zaGX5fgPP}Hb+kNyI74mAu>wH9Ym_)4`&U;8t9`y`qb+@Eh5LMXWV&Pz+Z(~WJ~ChO=~ZX(Iptd&r^lN+lQ{GqJeDL-Q9Enard$DS@_38CoS)dRg!IFj0$S#}X-!Y9gDWS7pnD zZ3wtA5nB4>R%M9@iI<6lc%`-JVLU3hfqC6>ZUs@4a3ySYtev08ZbW(ky;5=;EwZ8L z&<+w=n?*kC?PH#`p%jUYFnx0COLm^5z)HQyZ|tjpSO*6KqrJCU;+t)@7)6Xqcx)>a z9@Dw;4HlCN+szr@=cCl@E6tzM!k4bpAR%O!B!61sxrcTAsSc^GF1O@iisaE- zxwqhpoJpwJC-K=*Q^?u;IwOkmcsc6czM{w0ZNOU3%M^+&o*2J}(DCnuFNp|nk=k#! zV%ubfm>Lw@$2?=<`nyl;iC^NAwrBr@+>)dBOkdkP7D!@dtC-n%vNsajivXH|HD!R;4g}NN&5`{7c&kBfl? zpIoG_LCNF*UM1GS*na*<$1Ezs)TyoywqcJi8?)6!E&yYAbVw@joj&Q+3>tqUA&8yAv_(qDer;C&hEWHMmB z$w`TO>rjgEn(uiZ-ATt1 ze1MEL;lY4_^JcPn=}FtArVr4adk8HDx1IPUH7(h*0{p<-chE{p`_>3d62T(T=(|y{$+G`E#=7smkSVA%6uI#E=%|iNro1q`wWC z0fMfaC6%TBLduFKYk65&i+T-vM>K>NbiFE>*elxayjl$e>BZ=%KwQZp^_=F)K*;&_ zi%f{RBIh-add+9@N54b}cjLCuDfQ^vZ-tz+9?NiF_g{R`_s4-0_I}rsfSJqwHQp8O zhU`Dr$mCTzkaA@DQab(NS&&97b0|T_Bc%13?PJ`Q{f5rg&b}y@?T?n`vo1O7D8l>T zFjZdqWq1PloxZRy%N`GJc-HY1?s~R1tJ{HEf5{5>7kKJBKk~Xaln&cPyrXqb226r? z7ikXAo-YojCPuuRy1N}2F-W&0^+opGvMK-?%@ z4)rSY7-I6sFFegwWzZ(^zFDdHM9_RCU{d;18@{t*$Gnj1I_j;Z4l`?uw+NF>?S6L< z!yN5+0!*Yk$YV?ggDfl02se2f^{~JFF%GRlWIi{9z|8D|L*Ai-08nRzG}_E!5$Dk- z%%39A*{HJc9vDy&2w#JpjWjT83(FP=yRC;<46L-#@Zvz|o4~Sr^K(*QNa*Hc*@`Ecy}pz2vE^gG1c=6GFYHAgQ}8O!X9pHoL^o2RW(ayAf0Cwp|xW#Vmf^w73! zK4(Q8JNZnL0vz}H%nhu#QTO%v;JJuO7?|tdQyZ)72T-80$ClGl!56RTxKS8$/ z2Hl*ukc9oe46#6pY`mPiRJIB^y0GSDzeC~;*(T!vI!j2wi{X}^Tj1M1$2@@re%O0T zS~tzlk$DKK;BrXqoJwj;|7^k9kH6@-4WlSvG(o+9OLi6?J$`a45+z3DgmYsTf&Dmb z{0F!cf(6wQSZ&?6(tC**Hp3{KKra>@At7Sr!+LHn5c)u^?ZS=OoZ{gbG7b^F=D%<> z&WHVu7*0$dC&s~>? z#YMUGOu}=eZ9z-}aCu^$L+}<|1-Q2q?slg+AXkn+(V_Ldy+ikxIcO+Toc>cvfklIl zyNNHj^y|c7)TgS$UUj)t#@`d!q#EpOBtB>=qpv8e?H3#_uo&-ht0)N(6rQFE0>dM) zxs)txk@-|Kd*XDVF1&P-r#_y<9wr|Qel+`J^--O>Qr;d|$8B*yVKty2505SJRG@*ejVC0#q0Q}AFoYqLN9WeJY$kKn3D2Ez-P8K!Hy z*K}?3VqO&E^IXBESiy(0z2@BGZLUe)C^kNl);%TYf&8?r=(Y8CNj)CvDoxa&UoLAS z{l&x$7A|A_81OGiMIRx40Uk5YJUT5#70vYI=VdNT_*GI1?}y?9LwjeL>TQMT_~wPOHu*xX9h5N|FLDCcVXpnpF)KDY z7v#JlnRk7@5vY`AoLESbH_X%-~^o}6+ z|F&aV9{7^u&X_Ro9XcEgU-UWq9n<*>604)n?8AJ`52=mKoqRHvTWEyiu*jMma@jW1 zu}7tJwh%4*Ta}@73&h*`J(VM{#qlLsW?5M-*I9rr=XZ1##7=|O;=e-MK~N;$Y5D}OIBnb%KeMJap< zkyi#b(cIOrHs|bh-*AIdrucl3^krt{QpY6}SB5|dp4&CV8$D23bilpU(mr=yNgND9 zFm%A%<{CocsRa0#FCZ|;C)4I_bDTs(F}}8O%vy(g`;}_eI{X+Du|=?=OpF+utK^>} zw>zlh59Im)n`TV^Mm}HV6EJf8iLQzN3+1ntQXeeuj!>&!BfwTYP}VDn&^8{(O#>&!Bzd5M{sSZukN&e?+%FhLg(L^*m} zlA7m^4Rh7e#FB$#dgn-ND4yXnHWYH8Xgd2;(16i+i9i_*27Ud*(Z>YCv76@b7X8(| z?F@{M$YQ+GZ~iqX^q>JYTV1ftf5)~L24sxj2x3WAmH>mW7UxsqEHkj%!KCbt9smWm zp3Te!LI(n1A(*`V8`j(=TA%~0!N{u5$$u*O(Nxq^I#M+{!|}XKDbvWsVT@xDFVp!v z$^X(NeYWQC9loX0BxVi=OZ|{eEpxOxF}2{}31x57sb!XKOiZn2DV9Sug%dOPwi$X( zrYF!xKN;iwnH?|2wUK!lSV+hECzTPqJ*mN>&)wVZ1pnrTr@xm_-Ul4y3PPS?R^00d zgdF!q5Awpcd+YCIkj*J?5RFc!Ir<16-u%vJ2Ub|!*Zqb8R);v4MC{u1Iuj|@>JGFX zI3Dc~11V4BcVIfq!R~1jX7PggXt^u<@1fFR$Gw0g2mB0ZM%Ls0kYm^i_sLn0`&bGI zaqahoIP*K%wck%#2d6Kbz*KVvq0*xLXeXBJl33Z)Vb4Pjo%k>EFz>A#)4ZK`LYBd~leFhvgefD)@uqH=REh2RS&&C1nZU z-ymqe^Mijg45@a%vzIRbo3M}d*KUM|hVSxr3QYeiVZQy2B&j(bZl+(mgYdS1!(#`+ zF{CfE1IajfGA)cUzI041xs@!sKzPU!Mk1PhxPaW|e;=dJLTvrF%gdk3I2Da%kC7Pq zI?dNwlRK3b1ms;@Vnt5Gu%LtucOPJ?@Z=RD!R5Fin*GT+jMM(sX!5$>P+!T?C6=vn zcvhsY(>U^N&Xb>$F;B{?xzb&d;dVjO@j6|6b-G4^zHf;`X>nBu`}Dig8f9 zIb_njp_md^d!q}isr?XJ+DHH|WzF8qR<)Ciksk2>#-m#p@{$LVT4!Y6Mxgup$N1gv zbmEaFL?%=1=Jw_Vk=cxRWIb6TxANl)XFoDYob+GgM6OGd*>4#eIYJ!CJ;ZOb;x|Zq zHSznMyZ#+r6bdbw6ut3@$eba3ZH~4SN4D}MJ1fo+kVTrEk$+RoY(_Qvab=6oFIt`; zb$S|wd80?7PCrGdF-kB!&H>zhfDw@Gd8?Y-M-#2<;-vExafvRj3{zLK1_a^}aEivF%lPzet( zntx}Cke<7zW!F*khM|S+J?~LPcor|wCaoz0Q*IHwW0=!WH!hIb>CNKZ6QI#NDjTkt zh|+xA{1ZbK*~!*A9z~B?8g$f6WVfQ&Bek4Mp_7P{eZrwgi-6Jfp8!>n#|1e|=Qpg1 zn@_USM6)+iEr)^5)@VvgNvzlj2{ks4CFkoFuCxpbS0;%Nu{X<38_k{(YkBXG!j~kL z({^S21#0+kuy}6_G1=60E7aBI6_`{rlV&&P1p0z z+czdJ0>4YNbLCb#_s2w z`QBlDhl4qmzf=5WoX-aPcv;WmE9AQnA#P!Z?+>j1{87?bcnafH`P`)_uR7m0r4o_H ze%giika&T=OOzZ|I>xE_jQ@mM@WN0uJ4!R-)Zj@l?h>Jt(J`+Q0bGaEgZO*i6C8q; zM2f3E12Qz4#+n2_dZJe=%tOieqU)K6r(wgr@-ewY*$vh5Rb7^Ix6r4?7 zx-PB0M*L3YZ=S#?^J;yAvsMP6wKIzB*y$w!us0V+yyD_rg!8y_G`~q|#A$+h-81rc zDpzm-N$%JkyojCOG-tN|i)hPQUnt$j2L#_KPRhYe)5^<$p{2WrLo8QJ^X9Zv1oHQ| zA2>e?)+fi8a>V_BcL32N))jGy6sg=Ajb+IpeUv3Eo%DHRN&d8cC zXwGL&o|+1W`NUIW)g!2pePF*RTLk;OyStdE$c2*GeCtsn;kDo{ z;5WX_H%*^za~0uk6{`}(ISW)+!x4!P-a=6yK0Ly>{ZI-pukVydxQ}vQ+x1e7G(-h@ zcgq5A@m|+&;WN_C1lc)QK$fwrlxG9JxD~RzM6(+ylhsGKHp&y`EL_&-zJ(D%Azmt- zD3wxM33>~B0)8%rJ~ix1i9Dj#jyrR^7%a?A%9vqvH?|IYeBsfBizN4qaX7u~8dIeI zki6Wp32xns5!BZj5qt|>7m{wxgIWg2JJiZ+49FW9J9yqb0I<{@CmTGK#c}xErDg|q z;N|VEO?~yvwRPT2AFise^>e0S_7xuRhG!?04exT_?cMajdA0Q|ZI0Zs;YTRPVSdKI zry_cD@ycpz`Z+f+USs--qi#;LPQhbrG>jSTLz0Z-ls)_~$Hlt3WgXs|olcl+|b(y~>LF zM$^@#7}eB7@kw30Pv-Fr?-JRfN7!=DH}`&bZ_9jDUEs|pYL%>{Bae3S<1^ZF zA+O`6r&E{=Ly7EjeF6(C)7%#k& zu=DuaE*B%SyOff&T)FeNeg9~wd4RBcLHWor2%RtVkUIP_?^7p`h+4M8wZSAi_dG0J zyfb$rUh9N3Jo!;|Kw4^!dHq+UfdeV24VdGU0dHT&J5Kddj{Cw-b_-|j3olu=VwQVC z^N^h8?_zAhG$(KjI3gn9e zxze<$@>L*TCGy3tx|CygFUrAm*qp z1$W5E|HxEnRj5hd)Y>iR&`K(R(scS05@f~_JSv1zpcYwaLV~_C?Ghg9rh_Cn!*mW! zNO0Ir@bED!ew69_^Mmmw{MwH9KJ1|e0c_3$6B2AA!CVX6FYjPv?jH%by9L~N#(f~T zdt(?N;4V)N#erW?ArAcLwL9_?QDLq|1#T9lCsUE2f*SowL4{>8ERbgoddg^oMGX1n z9%>N#&HlDUSX`bb51_!KsLq%l%7!WXr+<**dK7}}M2|rsg)Hg1-LyJ99-S zA?E4@3dB;q%yR(a$Z9%8?}ER+V!1vj^HWwBl?#F0e98?%pOvDVW8d~CIC@!pcVlQIaoQ=vK^_vCIQMBXHu>U~IB<9%4# z(qDh5jS)j1_2ap%(~lbN&A(;&W%D?kPy~8E0>yUnNw=LlsaW3foaH{paodM;(1cIU zXdFV;r+PEUafIdXBhg~M&3(~EvSanoXXJ2vOa3_qIKU@iO{GxPi zqy#_bzTtX;Ika(C>`_{|?i-p3K&qY0$ygtS*HJiS_96M^G6L7&KcYpBEg!k79Xq6+ zPu%D1$6Yez-)Jm$7B1Y&SdyXhBlkteq<&OP&Y7_SHH53iA_bjML9=Li2Sv$ANtJq{ zZ%zx;z2o^aS@YnjLZuq5^+BA{mRkT$~TpF5rN)%)r-B&(i^!T zC=zpL3z?-CVgnw#1avt28p%Q$ZW!e4abM^h0T4#Ys0{yM{=J60m2;pB=PzcevX{tf z982h3^$Y4=7nW5iODdDoB2kpDd^rZ?rKW`n%Hjfrj9*7>GBd9<$y6U=Hs-fYKiad# zX$60L6^8d8=T<#MN!N!mfO3K9oTnPQ%=91KOAFjpg#>=YG)##;z#Q$SoEs>Irar~1 zVh8=^`_jXg)x^zzrXcZ%DSb&u&=-VGh^i{q#PNqBdR>*FYS`${D{>G9g-m-00`~UA+o$5 z$&rHqw!Z6s)B8=djyHTWL0%tAtIN0ak|WIh2fvk}a2*vc6lL73LQ0`F-ql0*w#{3B zF0+TYmUk__C-fmIzrLam)>orn;#@b!7rsE9cRS7qw7EK^P0+zk)m-^dt&|TM*MWN6 z!FA92iVj_ShB`gz-#(RJjKdvT*JsU&G&(jjzBcab3U!ykmr0Nbcu-B3=@>c4Ox$~) zJriuYbV6rJLT^telQKlIVn@8cC9(bv(uP2r>X-rx_jS+G7=UQx*Fc2FZb#2daK&#P zQIPOG0eY)dtzV?9s}F?d41fnFWhCPng9po>2oH8h93JeDM0n_0{~Mm)bZ?he_2TD! zjx+j|k7gB`J&~RlNJJAwSi5CA{bQ0-)?F!$>v!HI^V~0g%>TdJz74rj!Pm79c=g^N zhu3j>TJ~%&EV3Ox=B*bFRTW?upazcYy%%QBf))? zon$7&W;XIH_CqeFD8_~RE!|Q)O&7=)Yd*qh$TL%l3*wy)i#N8oq{tGOt4NR^#3ddQ zTCZ8j{trpRBDLk&^zKeo(uYCW^*r%w0nww1uiKK6z}HQN!YIB@F?lh@E=9@?VI~L> z=wvyB_mfFXcgV)h7an)Byf1WAeT#06jLbc1YZM6Q-fH>n+c;y97r~IV!%!h>;#X`X zz!qc=ohC*8R*itK<85dD!I*`IvE0uo4X+Z#ox6Uc7U~SwP(fUbFf4_&A>6-xXX&hWh+4$EbX)8{1WaY4{Tv!G`&IYs4}u|V^}OMfrE6gz zbjaWFx>M_ir1y};7aGYkRcTVFOSD$1e4M**HjUq*?yLCHB|ikm1!DwXAFv)D-GNNPJ_7(hr9*;SS~T<~I=&(Vw(h!QAqdkaOvtPzn7=BIHc;ya+7br1bx6qpV$uIo7GpbG9TbsvYICh(*F~h8j;fiLMqSYC-Yo3 z95+d5AEBsa%Dc>Z_~=-sv^~Qd{?(mgv9&u@)VIDVzt0!q3{-V#J;e>)r2s>kM=Whs zos)fRm0JdwUS={cRr^&pRS${!yWLHdP<4|u@vc4j-*jT+z^?sXLbD0=ZF+1cK#X>a zgL|rIxcrrCh^slV0)>HIeibD1rr0udl`M8Y4Sd}}MtN7~He4Y^3Q53c!E+%*foB?>vJ?BkFQM6;i<(s;f^$TUE{q$I4deSG0x5iq^? zV=3u_KUfX@yNHwEIZ|GTwucv^A<@~E?`yjp2IO)Ux65;)*%zq_XQzf2r*qdugvsZdJ^l~gC)!oq6t0lK0R*tWHLQ8 zIG)Y%X?gzcpehql?N(d-OW?QEYVJQ)&pm82X%m6UVe3~A47Iqi8C;u!gc zkn+~=`;6wHI2oKB?iZOc-An(i#E+Et(8*pC?K^!^UecBlc8my^voiuBJ_vI?u5F%& z$?}ICos^vyb}Wqh3NSCD3XH{14Lfd*$Ct#$#Fi7;0*d(f=t=mGAN7ZSx{@#r!oZ4% zb+qbXlP3Y#)2twXJ%%Npy2;xgOWv}Az>=Z?7;#Wy1S2|B5;*vNhsIj!`nC9w{puZ3 z&I?MNAHgdiJ=dJhghJ?$ybfJ8zt?tpTiP04o|i{DaXuhjVYKJ2ae3zP9t2 z;_V)2gk_3LR^<5w`D_8ik)L`LD0aR~t0{LA*_pE1NTuSAccW6o8-dFuBx^*det zev4nb4VD`nlXjBiaH-!rDnMA=nd1CS-?-+#8Ru5{F*56BkehFEpD# zA!mkipc4qEZ)WfVX4z_U@k*Z=To$>9hm@ow)DWa3m80;$rm3uE?e1GT%nrgC_5b_# zPmI8-5#yZ|A!~mv_H*@6hfJ?LMvD zmj~pVFxjf_J?-ACUAx?U1N`sla*k=&7!d!UF8{aMJ*4A*rTu%f+iAyZ_g?MZq0{fw z{vF!AO}o$A?tpr4m}2$gC))LCcY=0DX*XHB-_!0%+O_+8w=UPG-I>}wSG!r-{V(m_ zuiazX{hoH;(eA6-eMq~PYS*r>S^KwWcfEGg2BaIO;p{Z+y0rU+JY~vXx%OYG-A3(h z*6t6rd#`qXuibsx?b7Z{?e^(%?RMVshop_HcZThHp0)fX16(_OvJSWX|0=g+cCu4^4;pJ?S0t^F0srJRWc#4oBSE0=T=_*cfiyfIBOar4%gOu1 z%IDMWO6_jZ?k??iYd7OlD}9M}*J^jCcI|q09<$Qz)^0?*IiKnJw7XHeyR{q9ZqDCz zI_+-JZo78-w43)2E8R-%-mBe+c0I?f_)6{W&~CeS`?Tx%+)B4hyZ36>9;eEv6~9`$ zTeQ1VyInfH=L?-qyY1S|7?3V>@tB%R7_8>n#w+s1)Qt0l#(6Fu=UF|@vr-}aY8`*M zc2{b5LI@hsz`vThIvMLV&DMxFw$xu0nsDjzX3v-={x>cQg*@Z=e?g)649j14g=c)z z%H@rz*0gAC*k*a&cZL%C8VjXuUWMsA+eQu>C%5P{XbQ9 ztSRw&<83Jo1R(PZ7FKwcF0H8z)itfI4dpTR(7}er=CRVW+PbFNe(j0pkyzaWQe4%r zs>b7q$9fpX%W9j;SFNsH$mllZ)iktR%AlS-&hyWGjV=1}QY)6%U;eKzRoYs1Wy`9% ze|cN~^`%N%=QK24(NeekpB>t-8_@rq;`CH1L|;{p(fWUWZZ&R-W9L%qpjCoutS(Ge z*Aqiolm`n|YvqZln^^i2LemDR(zAA~=lcrQ8*7_e8tXlI!VeIb?~#x3YsZfDz=Y_) z@v*=n&$Z+_p{*wrH*rD%`Gs{@OYai$B=lsEOjEv7@SSPr7EU_%JJTjlop$cI6Q@lo zgfuN5q@aYp#|whQFDRQc2Y*G`!k~ng`^zQC#ccTIsdNh#FPu%f^A~#q{)#Gs zNaJ1TmBiL}1zFYJQTZ2?SNIpqH!faSCftW{ajAdKoWe-(zE~m`%ET3Ui_=9Ek zo^)Zwf`Ej3wJYDV7X-_xQs-v>T6SKrY`#?sBN8ZM_d9>VeASK%W*f$N{F}XCKEH^8 zy^C~fBwt1O0{?uqSDq7CaG}J{shDI0Cy}0?MP;*%AX{u7HI;g+jIzZ6W8u6h#=-@Q zNI}}g0o69?m+~)I7+f6i8fE7%_De)5|IX(hLuV|k#f2H3vx2@{C3Y;>$Jf>qBl9G4 zdWn%Xrb$t{G(EA4gh}TwZPwzzJRx?j_73Ms?NtTLr3m?#4j`iF}Z=QLVId9f5yTAILFVi~F(3H1y7eN}v# z4UtyU(#{JknB}Es32l;&qzT}CRXGBXUlq@QDh$v=kj79IG{vhK&}>7;Sp8L)VPzyA z11;;0HN*p!6~pq!$h`K)*w%!2MJ5yCZ8BobTfCh9;bo1D4UL}31rt4a%?%BnE0)(^ z?Fq4^S{`CyMpk3TPqN}y)UNTYs$bpG>{-=ZdqqNgp(k%u{Z-5B*b!V_d-a-z#u`h` zW9Oe7kFRgJqPB5W$V2LuS}PSYBHfNDp1j7|6}64E^`Tl%bAw0ive-n`cp5JKUTvs( zVES_@m)*-{%j-NXEbdBKW(yH2~SeE5YO{*@G7A>zAhLGBtRyEY?hS~Y1#oHyj#uF0i zbQ23ac@3+Z$?vIe@YFTbUq&06T2{+utX77wys;r971UqmVG8xwuaK=OFf%NT6CT4j zhkrsFZ1Ss65x<}~jv=Tmu7wJuvq-tf0#*DRe`T4_m2ZNNR=Z|5u-%3KsDWpL?ex^i zHg*hiumYas5>FEoL6g5ro_IgTdxVuE-V|<5UeVCVJYBVXRo!xSl~(dt`bnf` z1g-tNrv_Hpqee-_vTjvvjZPj*FZ^_qJUR~3;yv6EX zQ%hZQld5q*zA63k3Cwx^seI?2n6Ll*52)umq!$Dh1eLX)AqRy8uHqotL>_CtrW8y~ zNH09X*QKA3L zE8*Gycy^VTn~ySj<#XA|QQ7Rck7U)v0?aXF0Fz`uW@ zJUhz;a5_RMCrv;`Vh0X%b$MQh+w#k5Jr@Y`LbdiN1XtCsx}xQZ6T_FU9W;F5a+Z3* zXI+q8&h+Wikw1g|tfMn$&NRdySOtC7e%Q=&VHaf|XQk8awDU{2NR7@WfWjukpTZM{3XcS)o4o_)CQ$LbOhnC zJhPV9Er$#Iu5>+iGB)FD{_OVo>sP6DNlN;z)xa?mCry}Q?_*RA{`wVl4Qq5XgE26E zK}&N&f)nEx${JgXTuJ@)i=V?HRmXuttacgff#ok01h=av!T1SN>;e9oZq7)fqm7qx zZc=Ua_^eqsyY9Mkf6*luKyleV*w-&sy?dr0bzF$9d$A^EqW@g{YH@E!m*jqC{ z(C*#e`un_y@mu;;-&W6~+4=OI07 zzkg%%&x$K^4nBP(?Z1i()!%>X@*XH2^YDfx>pLIN<@|x`RPxteJkhncz_qu%c<;w~ z)!X+xrsEG3KV>N@>2zJi=REns>b6ZsijS0?a!K=%BgJKfr$6|UJD=9|JX1V!>jU>6 zzU$fIe>g9=!{7e0&evW1vsKR?nEvpaRy&@1tN0qjJpT7Hdy31;7FPTN*XmbK@u>Y* z^8dTK-gk@t<8OZce_xl=S3H*1eVo@<+^7G{3X(} zU0L^jod4L6l1*3cb-(+Qp(R%Nu98<@k-v16#xOFpn^j_sS5}F6dgD(|?mDw%$HM97 zF8tY9IzG2#vwP;T?$$9SZ+UKgdica|>+ph-FP>f7^R4rzm(*2FDZFQmw?vKG%d@Tc z)W(v~dl$``nHskICEG3c*j*)aWEdxYqWoPW7I_W+x<-V&dfp$k+Pm&t_^3lYr~uE+Tk|5+3;k$HeA`R4Og~n z!RrGtIJ4o&c5OJaT^oLE*M=9{r3?IZ>v`=ie#d$Ay#M^wTg8{&_59@br@kJ8BULZ( zWW$N=TKSK~;6nMg-cgeCtwqkC-kefm!-ehI@L{_)oY<}n54LN=h3#7P_38TZN}Q83 z&z=5owAhA={_*omKL5erUi#CfXDm2(HI>-$KY9N@AD@@LuH@V+%-di1?|Cy-IPjvt zeqEIXpQC?jrT5%txj7$~pnS4nz(3JPkudq&V3ludOmO8p_D|EDM{QTr84YK*KdR|T z%+++@QQOsY;8EMvbl_3j)%ezKyBd$$ZCB${yX}?;F#jL;OD(bVcm@_-`KER5zEZmb z;}vq95cq#CAaB^Gqyvx%=uYcXvX2kc1dH)R(+5d1DD}8OL`Wt_Ros>mKBIanLoxYp^kt`*WNFzT&3&m zAEwfE^$U|5-iC3sf0#d3g)-UWLRrkuounH^PYQjX#dxGSxu+jlnR#{~{|-Dq*`vk!G#culBQ(jfk|h*7DywKG}F#>apfnoday1 zkZfed!wRM7+Xzd5g~<{o`iY+miRBe=g40MgN(5%~Frq7Hc%a-9E^V^7{T<21%8~e2 z>jb-!jb&t;(Ad-%$}N~EMJyw1qx8!PQ*Dy)|NHmiR4N2Czg|RTAFcM^DyJInpESoilN47lZP0mO**+d zsXWanuShjU)}$FDCl515PIC99cMo5kl$B~^)eJMTh|8Kh)X18Yu{z1^Fx=#GPa-}o z*+`o-q~O#ksYdQ?j^uA7Wjcm*J65MGOD-4M>+#U1SuSJN7H9IbwL_98t{j>?c5;p* z=iZd$)W2moc6`GyUgzIiy6uVnBR5-7lQi_SSeadvne8yLo6}EAo$NZT zfKFHOuf$FNQ^EPShMXq;_57=lFvet{KQT{|o4(WxjrU3FU6@>OrZd@aGTtTQ4dYWp zKf82UiT+c$XEiM8TSjt$wbpo&m`fS6#*Ds`x?SyQtA{O1Egx!?wKB!n0rfbWm7~vY z>$4-2eQJC5vj(A zis8nH$!W%jNhh_tRu5mM%KqChV`Dk%B?qX-rEDqdtyJajAS@%(8ViX}^!LjnJDS1D zA*_56bhDy=+2X&6e|5U-f&PAZblHhvNuylGD8_0OI5!IX9JMf~@8s^Rt`Y6v#OW^M z^yYNq^cr0Hdpi9+ec@?+Io&6Botit;7*TT}V{m~nBB{a{zS@G79W?*c)18JZX=;+Q z59rn~v}+jfEpXgCGif72h`abVY6RmUVHGoy#6Ni@|0L}6WaIR=iu;EF?}_;oZJ7mJ zo|I&qbSbXj@BPD9r!5;+aHb>Ka8zU%8|w^XJO6g5dK}=;FvIa|nhLv>@H-{^%pt~^ z`-U4Q0msh2r5Y0c?JMYu#8GE|Kb@ltDKnN|+J)b)Cn+<@$h?mBVAXlp2xnJHxyHGg zAx3u-d(~#c@QkEvY46`KBG)`rg-s%SoP?)4jP$pX4ClU7L&BExuSCMBXP{roisd6d zvHVm2-}cT1IIiltCM6)0s{?6U`j`&pq#cz5DLFU+;hKZdfh_)^YL8dM9$C*9~KSCKjY}*fW?Rh(G0&z{arv4Y~+=~&1({9`=Ss|w`RB2lJ ze4CHU;O!!>BSl4|708jm^nmzd_lURVe%rq84mkUIjr&l4rrQi_x6RgiDXmy8e(Sik zVs?2tdt#xUh4V;L<3IDT<&QmNdFxJCgZ=#c+J|{gZv3X(@+}kJ_m)*@p393oQp9_f zeVRz_;u}6PsbTCkbEWNG`%#fIYSVf%?UVd7xsuKMqxMb6SvQTvZt4y1kr`)cWsa<| z9?9~~=A=9mSz+y028-PCsyUezzFXuaq;^fFydKW-$3C0ot@})t+FwTM^_rG%>$@y< zuNt5oP#a~q)V(MS*B8aFBiQMOIk@q&Swj4>H2o5fl*Byr-#Josoac}9>-(YQLLZ~< zJ3hg^+iB-;uRM6{veds|*K14c)*3JU-U?Ym|GkF(cujRdy1X<;O7UBSEgPE*iIgCA zx{^tQd@s4?)WPGD6?W=iEy*V@VdR@zQ?p{&%wQ-TtYNPBHyLq<1`>wU6*nsNDdx5|0p%ER9EJw#4(>{8^>lmZfFh)I6oOa%wZ0Uc2owSHO4%0ZP^Xh){ zYdmkp(^}t_y3H{5c=Exl+46N>S;svUQ@#bHlU96xlCPW4_9yh=0z8e{I<6i96 z_mgKt_(frba>TyaMt@_(Zw2$@S#tEj)Ls_F64 zIU#$_L7S4T_3b-k9~pGxG2NDTnRqYrq;;H9zR4$><~$N)JWw3-Ngi{AY~~2zzv4Yc zChhRl3H%7xh3kv2VRx@Bwo`uC7u#rqjd+*jKU&Uj8JD{0SG^|k`$%Y=mIHBNUu=`b zZnqwVzbo=VWWKGY-BtJ9$Vodc=ep@O!?<%5XWUF!NsII$({5PPZ3TQ1ppFNqI|1r= zpt@*wb(%5cUFXSN=d$FEnPt+!SO9FX(tO62^S zVmbe9oFTxR!NZ(Ee#m+m(qHD(Dbvj~PYU|7#rvwKs(i0s_9nAr z$IvplaKIxKtvRx8x=@N@t0lL&z#d=5e=IVAoN?na-In$_ts*(AGjlGF^#4pG>*tJ_ z);npNZhKA?GGl+?vwdhb2j-|CZTLg z29Prvht{n+kL|WN`S}euUcGL*7lqOB1@Q^-31MYvoOXZiUSD#}+L0$ac!m``!xElf zA@jYwG;_T$^Uq?h6wmn?gO$>E2e{u7spZtE+mTl05aoFu$aL@r?fm<@~u3Jv1Zy6a>qqH5~q#KwLHzMt^W0_LnBXVcwL7$?X$c!eoJkS zooC5uH{PXgGhAsfTUJ^33M2CHd^$Yt^1K|$n`8VH8x&6se%m_aC%NFa z8OADG#=3+@JeM&p4e*YUo}V;4ck=A)_rW8f-IjDA=9tg4*=;NH5nXR`!sJMFzacodol4|NWAOM1Zd|10scbpr4#F9@9@$K;f?pN#8oX>VoU^}Qb+6ukC;MVtOg)9n(AJgruZ?dk* z`ehko$Fgc;e5h$qN5?)(oXC8CN}W^pw~^Csx=Y<=7<&%!k|$-)A#}}jZn>25-WE|O z^O-037`N)0a_wW(lQ`dSE1i2;>}I?{IQ#u2oHM`3WxTOCoIU@IcGSe~r3^XQZ46MR!fo^`{U zZmXQ<${eqpw99#i%8#s{U6(FRl}xOO@+!0DX~_z$>-zq8+uuv73g*{#Sl6Lkb!{ii zcWj=VJUeE|hA&$7H))*mG4uxvx7%ig3heI%&X`EU(yGdz(`_5>}jKk5hp0VVZ z>&`_lMl#pcU1D5cp?xxQ68AU zT)AZ+Pa@~CrG6$y4o@wY{e3H$zpaw$x$`AB9b`SNoHne2v^Pj}f;#b{B~xzNrrRpW zW{tW?*QnDuRixEfB%RD*+L-rT-@I1d#T@8z<~HwOZd1cIrH!X`{6r?mDAvEbEAn;Jn*TeIW@q zJNDKv*N+jrr>nQSDU(HaTbBBQdu?Y*w*#o#Vf(Ar(|C++YJIvDDC6vc)SGceV&*;d zL}D6KCPAEw@@u>2OKZV3pIJ-`IkdNc9JCYF9Wn2V|=!MLv5!$iKg zU~yVE`D4eTF={+~DIZ(#qkGdN;kb3fL@%ua`A`&~)*b}q2 zSc!al*&%jk9pcObb`S35m}A+e9p1sl&SpA?=he4vw%yy@tUG!|{=_=a9f`R9L`*nen;lQF3kHjy>8cC$ZUHCy#cL&LrXcY9n@ zL#v%WJ~m?L%YI;*16uY1p|k!nC+yJ|Hbru^xF?x+AynG(}G6J;u6j=Jzb^`|gQ$$|qFo zY>M6r*OoNeAaz>ZJnUx5zlEPVY?r&Gr6&@(nJ_JO1?Fe5^d1_U<($h zXrx|#18nQ$mx-l?J?Kr+XXl|wZgf&6506T$BgzhMfmur_wrPLeA(t-b4H4pPpaX88 z|K(zX9y}Hhilnop?WW%DNCUe|ySr{_Xzad;GZl6?A=%>E_JR3Jk>`P_= zW|5Ds&InbaA*NfD*-oPqoiGllM3tQ|r_|WZ#=H;b%)NxDCtsFem@tb^cfSWck zrkC$}j>OvcHAXpUDYB0};xM7*O|>2B>bki%dcfUkxxbT*mm>eBSFUaAjxl_^rqiim zf02Dnr}M%z@9%4h*c;~$*pCs$SoYPC*sr}@u5atU-fj*SuwQe1#h=QqqjIoOYyP!{ zH?-`^9`|ML>OR05PhLZMpa75hde3`%Bi*-#BHiq=H2Pu&^|B3eytvCh-F-_KBLJEe(emuxvtW z&0+&m2VD%gSnp!k#a0(%F7~@P z=;DxzaThb07;?|`Jn3TG#m8OD_&a=+qy2B^k9{irT1JB|o>-Evr0agl#jz#V>sxWT%2?)66t&4|T%;Y zUGbeI@H5eC!Pof2exJqz{*X`ZkE64|B;Q1oW0eB;!>v!Dhrj{k4Rn)ZuiX202Px0| zEF0(0H=|3r$OVXUy{f?L5arh^-hn8uUQsS0Z|WbcLi*J|m_i2875`w16Hgf2wUuuU z*i8<-a_g_!&b}t>iq+NZQB^fd*Cyno4j`AyZ6!lO<`BO zgZ1CD=q5kiGf7F^#>{?UVAFEW5`a>Pyk zxbny|d~?NElsw~K@iAl?U9q5t&qL^nM-VT(>@fH`5EC2iD5Ar_XM{)c%>Iu5y{kOB{0}iyw**5vy%Im)2 zL)2mXC`OTbbj6cMD|#Hfzn{9O@qo8|n7pAYrapo{bj7!jadeYct(@%)N899JZ~Can zAAXGI3rAV87b!zmyzy@CA3Y3aIM*g$+T>Cz$NFFI~7yW$C?4_$F`lyXK-fq(Zo$`(Bh?)p6RYIKu_ zZ1RnjhkP&M4P@DvL@z^EdeweHGdmy5cR!G`iyLuHEDcD~I?qh``HLd=4o>p8!Ab0&Oh1$@?`q z!O9iB`|Fe;eiZ*4X+>B3Yorg|K}d-k07Vf6(h(Qbj3d8EV|;F zm&hkv*dX}NFT-m`H@UbbPgnW6qpy-T{3yPTM9~$0g!H4Ed|c(}2F_5=u`AXfbI#UCK2(G`D$oI#f~@gd6NQQY}G$`)O* z^B>7Ke9|cRgEuK#beR$P`CGIj=)pPm?IEpd|KS3c^$PUQ{Rj0EyW*#QOuFbMCsnzs zy+0#)?25`i^~2vZd8o=y{rWE`AMA?XL~7Af;1?{uVWOLyQIk)qywXX&jo*bI#n+H$ z(G~Y*!=*qsd7&m}RJo&XBIod<_#-3_uBPHokTP_|lglmHg05Htx8@MK$=ftJoyzxo zZ=NNO<45t1m6kk@uJ|I7LRVY`-zAN%cnhNTesJSzzQs~jRbWLCJRUfZCSOx|oX6Mj z%@(_2Z!zDa(fh$D9L+j(#aEDK^c0xkZ7OE?nu>R?gL{J?#aEG&=xOlw^?WC0tZ4Eq zhp}ZinToL>oHYC^9!KWT75@|Q1gR(G3w%rEUGCaI8Ddww204gsawnBj`NSsf0lVT$ z$RK(OOkF^JR0lU#!qp*fCQnlNlaufvC-I{=gQU?-exk`;G`Ww;iBz8B7PyBd-%)vx zpG4}hD?Wy_qbpWHBD)P;aTjtQy2(*A`HRY9++WQ-;79T74me5Zia$Z-&`s{4$xBqe z;+>aJ=PGFb!GGFGxuGl0A@%6`t-lXxMc427`FzLMzFxoQ-|~A-S?M?a6@255;m71C zDu3~N$X(bKe}D|3EBD|;ty2$`Z}9kKPJK{5!t(u=-5#3UMddV>AFyPcu!`G}SJ0K0 z@L{+I`n;68@DGUQ&Ey=K+(qRyejE`vfr@dY2wm|NWFxxbcaYuaiZe(E-Q*oAUvUx% zV^{opq#s@Jp%C>7-Q*K04{`3jhsGh!^gi;;l#-`XG4w z)jTise(*pY&rAJ)zH8vmqno@y`#Gu@gz6N5MN9$Pc>7>r=kpP$P94yW%Jk z*hJe1o<%mJoBTcH@jcW+`+!|BiA2>uc=1h?3A)L_Q!d`$ew6kTdm6m-W4z<)2h4Ek z6o($6ZopA9Id3LMPPuaTe~R+QkK&t;QuojmpE=3>qAR|L456n$<+df!O^%z%e^Xvu z`C~j6{3u?EoJCjMjr?W7&E^Haz znc~;JMqKz&d=(i-S9~3rL{Eb^O*nPWQYYd_5nLEluY^MAbm7}P-qVfz?S5*Gs47%bJQbySS zAAh_bWEAONoL}XVG3WagcDBdML9XdJFt<~Mm;UX3XJ1EqkS~dPa^{{&e)gj>$eG<; z&3vBRQ+Z9@fvr0$gM3r!Y;NRK>&TwUTO&P{@BIChzTF&&80k3Leru2jI(zn1^0O=N z=+OgL8+*2Pv^8~i^>nqww(YvEhCdrqg58c_v~dqP_${&RsIbEkk}qJrd5v|j`2y})^&5FyE53@wzo+S?cP(_(#UTqRR*`s$FqCeuTN$7wncf`y>0&H z2)=t;rrdBWeHg#Wou+TXUVkcls`XU#RNtwAQ|VJPr_xW%JTd#kxhG`QJL(?|j0Q(H zk5-ND9IYKaI2szQ9}SPTjz&iZMh8cSM&qN&(Xr9-(TUN?(bVYF=Y+TqY}{cw0VI@~whKRh@*G#nouAD$Ra4NncHhi8Uohh@Y&;vWf&Y#yl^**Q`> x5*}$CiH`J*^p6aT42}$q#7B}N6C;x&sgbFX^vKM}?8vzhIpt-gr@=^!eM2>A3Q-zwu2`PcdvOKm`WJ!!h zj+64?R1U=%ludWxoY2x9YT9Jm!*1!vX`Rs1BjX(GkU*V4yH4pYF71H*Nswb9ArKPkKfguj3b#pRR%@Qa zQ2pCCejfYIgJY}H_fvnXTm5~cpPYBP_z0)JEdB|nFBj|hOT~wgu05~kKM%Plkp9kt zr&oUy^!a(?#oy+1?P{H#;pxo*e<#(EZc$SMV{H%SvW0`o+tb(-D`NRsSFC0QK#Fv< z$qq_sxWq(H;eW-M72(FJ)Mn~+Iz*JcQTb>qKG zj>>-U+$SwyNDjWryxd$)3Wgy_J|bUnxiU&zzTAv$yqx-kBM*oPbKrW$hEExn*za*z z#QtVSfv3OTQRqQZ*s|?*F@DY|s+Yus;@EzahEvME`AU>l$F*arRI0&sLhM%@f=3+@ z)t5xolCpn>vg5~{-km$9m7@;#*4k}QCMIhCBC2oItAC7NG}*qg5WOn)-|1)}EuEq& z7mEG&I^3eV#}dC}j^&E#9m3>1F>%e87Lv)G@R1AJU@eSZT>aeK(N>qQ5vcHH? ztd8$X+V(vGV{K~`hZB;6khHD2*CA+&si?ZCAZ0%_Em;al2>prFo&OsI?8)goi=MXu zgJ1hK@)DmjrR8uNJ{%x2)|=1sQCt_i*0#5V^tTF z0`=b^xr1~aK(=~8Of)-s#DvEYN!cr)6b0%X5q10>+ZRUOv0Zm@UozIiv7UC@+UIut zjF(?ZO1|IK{w60}l)KMeH#`H=n=q$e9w_BR2h>|e)o z-zzZ>GDbj5z8m^Okk@CVoTIXsc0 zkQ=`b+*SgItHZVu>I0ScF7>lY-5WnH*6zG(7$YWOokYX6`?(?uRH(y~r-51t?F0&b z9r1U9cO}y$)1$V%-L||Boq(#VtZPacixr4NLj~;@hEl1RX;>UOQSj#XFvc+cwqW!L zdhQ5I?S+1J5P;3$+TYg?&jSs;!*Q+qE4;`-K^gf6@y|5Qe)q z^R#vX;J&1?0Op3kYPF>HVdB0*k2~-{We*T4gNJ6bwuVw}%Dym<>&iv*gdM|2kz(4{ zk%4By>Jshq;CbUqhIx9W1p>JM)ln2Fd9xInNER~*b69Z{@Oi5@b}ioWeMwv2^%%_O7?j~TLyNVZ&;wTNoIR)LDNKT)r!7d1N)qFSiU1JxHH)uJ7I zAG2#*`z{;=M{jlaosXHdKca-|%nwZ30CZuLErA5}4J4|1F;p33UV;oQCU?>jq&P%4 z*XcF-BOf*$)Vqd(RZnVrA$<_^0iwKLMxdH^h>SUz9&@64)^#Ffe}!9mGG*TnCT0H( zPmUg&pTlTW3p>QrsxiX&IvhV&dGuc_dfrnlR$n{{D!!1sa`W#;^DN#aio;w{_ zvTUMVXiQO#N9q?W0oWzsBGjVg;=$tltH1M4}&3bD7# zsSiqqpEgZiFy^dNGzxIXJ?VLd?Us4i268eHwRu=!FR433Yc z{$zW=ycGiIz?~qJB#LAQ$aCg(c$&BYw0OW)rtO4LeC;Uos6&IB?qIBay?MTdMX^Wp zTdTofdS7}2B>VZj>nSFVc?a`RsC|8HVXWEnnP+W3y={>gf3{G}K5hGHZLXMD(CbMo zcwX#Zx{VXjP9lQ9tXRR{FMj4=7MH% zHx~};Yw`ZG+9Zs1ok5r9_q`IECw|4gvy_@li=ZykTeAfS+kaNc={pl!pwS|R1!XNr zy20o#T~>_OltCEp_p`BiS~;fnq>X}-gtZW`wiE!>CEDr{s64CJVyv&vP*`wbd};E+ zc#5y6!+b3*+$yT)Fp%*6GM`!v%bqD8c(wE~nqF1IF-43^1sJ6iP5cVVMYW+o>~EM# z*~gGllj1t!Pw9MOQ=y(dPU(h16q^!fy>S@#Psb|3;?z;`R z{vNsTXPToHhxR(^1(T%@Vpnp#xdhs6k0gg7zn;q{%xj3oS1kcSd3x7u6%$W6+*obJ zz2}nXOZBX=YQ2sGx-~~V`NEo`SQMFd95rBUpxL#9WAr|-;z7xj{T>L5>NhlqiHS$Y z30F^IWk}gaCjL*I7=aeu5Ldl#l-K2f=lb_iHDm|} zYX=Wet$f|w_Ym3HO-s0{mp~xgGE(oLt)LsUnOvN*{~F5FaV$Sra-pyu?}`LE5R90z z|JkU?ow5&rMSx(9zi(132{Bt6q7_kn+%ZN*?LAHoyKDH(4g6KX-}7X#LJDXRJgU!H zOKh#^7pukWQDdG8m*=THezXrJUD3TDew5ZzW_vU}$x0~p#u&ibNMm3pv>NdNg$9DC zB0#*fx5^*wnuslnf2lAhwpiUFB)&ZHUhwt!#jI}o-uIaMF_U7Y0q5kghu|I7JXj*c z{z6gpTC|&VUV9OAhVH~Q4_pDUL`@IKSIZ_ zD{;*hy{uPdCV zb)q&=XKKhFvklbl{o~D2DAu3jXvjZ}@tmVx!oaa$6SN?MLYO+6>#V-_4KaHRKPW>|qocF&`|_ zU)lBj)&yAFu{Rdk;$J02{nj1;6w0#xYwpqWmPU6&Vp%i_^`p+DICi^gu7h-Z)G}f&2Sd}f-|Pfedwy6@D&wQVh!pWA!V?>#N3N z7!1(ln5dq>P`6%Ofw|Iu&D$WiKha4jYvIpld0kKO zXNV&O{7HM!)T%}NxtKqDAcJX?ab4bTq$V=pX*MIDx5K?vpKWi6DuSfbh)tJa9YnBr zT)1l(dtz*bk>fhCw-U}x+8!BFhk(P+AN$o;u2=D#L0@#~>0<`{wn6tBR59pIgVr0g z#GtPkdVXk7X5fnqdMJ$>E&JhGof$Rg*9`i)L8pvzhBymhW084npOtQ+@Gj$e&q!Mg zxy1$*40^3We{aaO8T2;>Jz(U2&!Ep4^ksvV8FEh;)NRlg4SK&ppEYROwEKFsXs=r@FVyN3(`3e#*BI*d1p{q@Kit*j3$+PBtmuMI?ud0s zAtic49)jh}D;D*2NH@?4v=s4$B&93bBUA@M5pR1SDBUPjBb{btDH4_yBekP75c0{p zz2TS=iRs{7q&lyxtW0QVs=c+LxpdQ(?ZP%mjt0UZp}fpl=7d0=AcTb`Iqa9B(Lkuf z5XI>?v670KK>; zv#MP_MUsVkV!)N%Y=(aVX?ZEb^>f#e?tUxPbGbb;lnXvZ=nThXIM%2qqeC%Llt7oH z_rTnBO#5pyA2HO3nfhfZ8Vf4iWqLa@_46{qE;&HW<^4QYEi>95^>t^qTrl+W@ibRq z>d)B&74sz$loY8=h{pUhI@@Ex;O;V`TiB~V`&!Soit-I^yz4%e%b3@*bt6#VRa%O4 zIy;|-P#*w4Mxf+F>@e&rFleDc1%s9tlq^esQ?i2ZLj=)`h^={uO1+au!CQdnSg{4@9Fgutr|CX%`oKv>CwN}(Ra!plRbL> z@MzA0a}^p#2F4>c0T_LEG_VR}Gm1f8!w%HIXsDo*_-=}&zZ>=b3W-Vf}fy^>YT)Uj-k`~po^#}%fzVtCY;AuakOsT zoZDowo0+}h7_*xOSuW+}<*>YpT$Wd!8!>SkVP}Pz*%szUNGDxH$EV*aj0Mr>gDbG9 z$-oW(dji-K7$fOx3Rthe*r5!$3G{9cT7`7#gY=XAk?xcKZ~LQch6vjq3`Y^L+li+b44VNxgkQ#yaIjkv*_Fgo zgvu5Y7mi3Fycns3B1PC$#OXT=HoXHWYYPThKWn&Euizv&Ud)gv=lK@q_11Z#5y>BD z5BR;E*z5!)nX#q7{V`d_cE>CA_@#(~{Rdk%7wYwgaqNZPcihOjq^_u>Ft)93^VVCN z8#gtqt8nsa(7j%-&yS5yAl&M0kA?g=`SE(AN?Ra|@?Blwkhi-%A_qcBJ99H{RO+NH z5`tIMF0qY-C|+MA;#GD>BsQPQN=hs$$z49B6Y(v*8_1CMKu1iLyx3LA;ay(r*t&55 z%eJG@^5bfvarz74D=r^S161iU20fV~OXD{vu8s?RyjsSX9_9~sUW%J?}C%z!L!Hc~M zYVaZ%Z1wr?rgyN>W?hs^N~D*(6_R#&xe+G4R_q_oTs{*skW|99yNcL`_OU)GOkOejn@#VUFf${9V$Sv@~? z$Vhxb{>ME~fVdT(FB!%8nQ>`mJWFwH*Fx+M5$h7|!(9)a=;OGX!4v&C?g;oX(6@2- zf~URVVZ^O{;Bh9%aBj#R22b>~!M_YjAJ-lMPP7#_$+UqU!cAp~esM8lFM|(){s->g zfS&+ef>@U1mw|3G`0b#-!%by>4|*?RTn#+YCvX!^^n}5m0?l2b;}+26xJjn~dJ1;| zZH_;Mw=ZtO-JlO)AG{3sLD1jgCj4E{&ttED9q=a5hYgP4U*|n@TH-g{XqX$`{02t)_Ul6fNFxqcyME7mZ3? zt-;*_6ojHR#W6W_L)70Xb@`&DT>-xwj)vQnQoK5E@I|}Iy4Mv8Sb78PQdBX{WcAvh zN)W0QITlqKL+xQhThZUq<|^XlP%iy0J!gNYUxc%LXe&{#l9#`u)}vta~3fy#lVf$aka2M!H%9_~H-(BXn3B}be` TDv!92h)3qs@d@~U)&u_qzGcht literal 0 HcmV?d00001 diff --git a/epyt/libraries/win/epanet2.dll b/epyt/libraries/win/epanet2.dll index 5b4a7a182ce94e3dd0c123e47fe4210b9678cf30..45de0b1c199841e99bafca0bd38c1889bb04d8de 100644 GIT binary patch literal 535552 zcmeFadwf*Y)jvFwWRd|A&IB?Li^vE=je;5p*2D=qhs?kknSme|gP@=R#7mXJ87}3P zc#@jQb`)D}eX4z{ed<$eZN1bg;Dwol+_(lP3gRW8;vPojrXdmKyx+CYOcD^a?eF=# z|Gd9^K6B2#uD$kUt-aRTYo7#eUTaDAK0Z9&h?{i{}qK%qCOcAshReUhcL1 z;`L_#_KT-3xO1^%;iCKQSajP@9p$&(d+&X!3wtOU6Ga5 z+nE6U_XlQ|oH~4!E&1#J>rvUAi1+{X=>9jZ<&fr#|rd>P^7-oqUiDGFq!6Dv1smX>TM>|?b!ehn5KSsS9JAW zly(E_D~w{MwN*%ZA;V;vj`uI|?(yd~nIcy#GzyA7qOYbx6yV<~=e}am;zi}i5@Uj~ zp|LkP@b2;Frgj(2yXQU>q%ksKtW3S}9{R0vV|!Hl|8-CaTPmGaQ~kEYpFiYxI{YDz zGgk>sb=nj}t%~-k!uRO9t}v6LHJcUYcP^xyJPIwKki(DA96$3o%M>=%S*oyRzG{id z1VH)PN@u=lRqrN`b2MP+aVtvYBV#n)qZMtl($zR{_>T4q6#*Kx9NvN!Y6neBbt;5_ zn~x{lw9SP8^uzTD(^7(L4=7DRgB zvlOrhRRw*{qveIx90r2t4DDI)%DUm5+ry8~d?&=7*nW5ad4E8lo}!V&bR`A>!{}C+ zmH&CM39~B(u?NWi?fx5}=g*gh5Mw}#uB_$1%P<9PN;GPle=4f$L36zlZL!6Efo%!n zuYHnm)6sxKVJH0TctHz)A3&-iQdKi5@_FEDwfky3PPhA2vo@yX z6tz&@fUG9V21E!2{sIbBMbt_BFJLtMgawamBq?G0OKZ~c%36UJUv$c3s*VIN*0_-> z_}C7GrTSUcTdUJevc5~VR3FbUi7|?&(8`?U%vYG|1Qo5svez~{)%&gu%#n*LE_C7xk+nYqE^WZdA#iU9UHXEF+P@C!m{RWE|RyiS5H==T{$)s{V$;7%cWSMv6cCjjkgLObAP(>Q_CpF2jyzWNErN_!Gbzg=z)6 zsajv;Db?**Onj%HC5yvoQ|+59quZyU*=k+2XnJa}xU0o$dbFqx2eyY%tP5LPvYc)o z(1mq8z2E?0&+2LRmSFtOFF>^O)bXyKc%82qe>?NMk!bWJ+u zdv@#z;EZ{8Pcat!{(=_WKIG>>gKgFAeG$;@xgy%Uu~(Xj=*Tfs(T8VJT4EC@+%OP> zrQ1zNtB$A{8))rqzZ8qS@hDcsb|Noux+1g^!2UEx zG7+0p)|_M_Dz1b)!*z_oTJ#JX1x6un0|Dk(wKYVcce~mytUG+g#(dOCEtAI_n|5_mB1;6kf)9n?Av50aNh3_%K;XtktpGt9W zE~*_Hf8g(=HAHbvH7w~d` z$2QR{b{#csR3x6kFF^-iFpCDM4mP{Xu>i5zJ!Zg5!kPr6t0FqS`R%rNm8WpMM^G<1c+7pj&ttfu8;R z9WWKeUdF~mFsfUE8I6`+sBPv8A!YCaWF-2W!_R;)5$S~yx&!I)BV8RdcxT0!R#3Nz z?GN6eb()vn#XGU-VdnCx4+NdSY9n&_ZNLa!B`oVGK3T-oD=?}B^QHSN7V5Cpte=$D zSV9J~_$6Kxr8kz@6L>XR=HY1;2smceZ$LvP{uLf#-m(2h*9UGkndTQ+uKoyu(=w$z zYXJffE{4-9bxUOt>9@hz>-&IV&M%U4gH!z@>ZDgE=O|iTu9CV-dR0zW!kHERaOM{9 z9jDK=OU-3BWcppvMZMWrYiiW*iY$T#P?s0~pkTLxO_)|jj`nk>X%&TfV;!dBog$WH zZoM%^wfp&pSc(O^F)n?o4g@ol2kgHDd!xCWnJ7~+<^iObYWJ&YRl9?k{7noIg;`m)ExfB|dX5Mjlb!Zbo5+{f-l@g&*5T+dJDTIOx$u$N}obNsbn76S<;LH&?4y z!eLGs#76~ZLBK&9>nj9+RX0;6IA5s}s-|WL5s@gbf1Fwsdt-Htz_Yx&21JuN&>Tu( za&Y54l{O09z7a6lKCtVg=HXVtU|=Y$K<=Oh(UM!Yk3|qmFAG$rTEj{zj|yq!NoOlY zN~zpT19posj)Fp!@Zd?KFg4*Z3SRMkkR++^>AJl}1yHTts<=K_6f>xjXz}d2!;HEY zo>SNV9d+xlcxl5iSj04v@dU586+{YJq(69A)Wdeml_&1Jcb-qKJa(@-?;a1^>S4zU zS_He5{^0G?3T`h~9v?sN-eBmKFT8zrg#sO{Gc@h%;7mo!dgPG|lRo^|^}3`qS(YPW zsxX@&aWXrI+i+>4Q5b1jk6;CcXV-%hgn8^nqiWm z?0P~L2ZHeoqzyy>>Zi<(d)a<3+a+sfGFHx$!*T}U4y@P-AOw7Y5YUk}e%Nbq9{@=K zkOL5eA*`;vU_CH0g_WPYSGqDvuy*9)28c8dP)^?`J z@@qs1<0i{mgh(I)*I0$1wDFUi#e-1jXp`k<-C4II7#h65C@@IUMxZhpGPf$xLk^`+ zs}h>#K-CK+t({;ouVZNawe^x%xXhA|dM~wU&DJK%U<8S_LY6@Y$?Z{xdW+WVXtJas zip7PD6ofXw0M-h$k35`V@(gPMKHmVrcPZv-362sC)LmN_yclH~k*Z~F#nX*)2SS72 zKoF(>hF3fT1)f1b+IV>2;!H)_cnr1)%de0kV}$!JzM%`0TV`8iR;NT`w&6OgSK7gh zkmc4R09DzNXEK?UQ@fO5Su+IetQ+ydge>W!Xa_ebp{%h6z(e-MIRp^xwDn)y3$Lp$ zK@O0Zu>kj8Jp-d_+YvgAW=!!}Cd%QoqiIcCt9DTG^l8Pa z0k_}NHeZ(RtvewtY&J5$qx3{Ut0VNlwgXYNQ%P-MN1119n%{Lyx_>>TdA3?9 zqWuLCZRJ**Nve9v2xgkqLCDVZvAw?3&BUDY^;T$HH4h_y_3Fy&$`}8%EeOGROvcZ! zs@03ISDsl2nb(KK3((04B?<_oZ&*v#=69tS{vv9YTeV zZD%?4J~rO%OZ}%Xs34q20f%mX=%;``16A}UmrJ_;GHed9H-QfH$=C7nvHKjp5ue6> zkFbaB45YSP-$Bce!)Hz z%tSC#&Cu&)SL>o}uKqztK8hZpQH`L!R$OmVZ7i)Gb%R3)e(;j`!0>o8`YMOUD;@&z zqB)SdS=L+iCJ#%MT^-W>)6fMmD*o^+Cv@eR`95}cp^q&__(OTNe5-tmJPXpi;@YBK zfNi{&5|(=@BU)>%*Jj#+y@5bgOYlTNq<&BY%&tD6A3}b<2Sbj|^;cLfnHyE{p#Zc*>3A?qXzla)nc9Zk`e=cWY%Om9%*ts{lZ0&+g};Tom9Gz}z^ zt)xzdOzF$xmtivFj`&6GCL2bD$uMME32K(Ypg6jrSv-i9f_@6yq@o|{)|>g8Se6Pa zEsOV3ihiVGySx!qcLz^|$C7jn@unaWZ{MbrrzojW?dNHxl>_|cH>4@$H(GrxvzNa- zt#=?b>PrQ?5W2jv2eTrmbd}fNSW?oa_N%-;FbVJ8mDf|()S>bI+=oWBW%;JnR(>6V zx&qw@`aSrO*pd0Agj8smLt!(m{6Y~a%j16sCnp(-ljezNpbM&F|>Tb_P!mE(Oh-vupU}XNQgcz#kMG2aVgd% z85^;~m;m}6}VV`P+RL8vr5X=tYN8`~Sjnd+<2-rL)F+5^Ugndvv8=5qTd+G}1Ki42-bRdAx4*jp z1I!u|x)Pc8#6l2#10#JAKsclo?8UVJpmpf5JB95#J_Op${4Z94R^KMeRTv~{4^n&v zN2)2IT?#lXYa-RfNM~{mSX$N?#8K9mjs#5<901@i0azFXGM|7tv1Q{^Fun4}jb^fS z%Nb}tlKltSv_k5Qo(*c=+X{g zGxUcPVKY<`Mnkf0Ed(iPbDBX9N*nBnoM(~%40A;p>thi2^O!>j)^1>7ij#5PjUFxR zvOo0PKLO9dmS?gPP+(!$8xfwZv(tPd40=j9=LvwD0~FUP<*-4dMqLZjR$E*Pt*g_4 z=Ux&PgbnU2O%@9`K%UX*bPxCM(%}-`Tl-$7`KcY%!nFfVC4|)6^XD)26QxnpHLuLyz z{p_F+7div%m>*3xVig2fjuY}jXkfhDS3b@bo~X0q7=w@!zOcrZI@{{HJ8iYkb+>hm z$HydLm=ZeG6Z6td{_+wVPH$47+j!W7Ob@epLGA;6;nGa-OCLz6j}B9PU5@N(S@an_ z(yQBp{}s>iu{5aGnIT`fzs9DpOtTV_s263lhq8N|b7=L8-ELO5jkL=SakdQfq>~64 zy@A=(CnmthI=!$_+?~k}LlE&6?Dnwc>d&OA4@9}yR$1GoE9En7UbflGK4p8uKgZ-} zZt{iGn8)SMO26;*b5MX7oXq63 zBJ=8t@U|AoX>05r*HtTR9@o#(*7WweHhb6+kL0P->l7`T%yP~bOoIvDak?}w5M(RJD;AL}P%Kc&gL zlXfoMUMn>1fTR>`lXSUX31#!QJCWroD_h)$Z=)bn%5atfW9bAd ze~l7CWmtW%>(Q2vJq0?gI6rYHtdsv%R9;pVyqZ5ODwmc)Mo=$N*v*g)zfyZEu+d|m z8W8`C-`fR@s8Voo{)?kDD`KCTB< zQ~}r;XDy)k1yH0G8Wv?An*sTRY;|Cz*fL}ME!w+7WpfmEOCfJDA`5tg0&G&DpY5b$ zi)@8$S5iyo6hv@N2E#u_ot7dA3=Tp2d{RGy;b5?cPN6;#7Q(=s;BDulQwQtxhsVs` zrRzRzhaMm{L@JAqRp~XER?}LatI;^sA#PdyC(K{K6_u(UMSumdc%D49kc!b5_wl*j zm#U-4iQgSyub;~OLpnB8AKNLfH-TsB_SkK-mC|k;T&>$zAf|QP6ujIMF3CVCY;I4% zP{cp{TCy>UL)2z;M!1-=hdiMAE3A^Shi%K~p>ODLtG zz<8)V_?D2;v7P|s&Yn;pBJ=`>*X;#p4XS_$Ur8+^XB{MS-vbW{(D7%w*MUErl?I$a z3SrAhVHvW2ffr}A5uzS==T@;4V6y)2+X0J~1;WqIA@g+t4%-hfdr=Lx5%9~fC2Byb zBSdLU!0Aa_?*P~W z)MTBQnArpsdI3S5K;ZsN`!d^uSp#M`1#HAX#bL=hjMGVD*Aw(bG9b}wx11+qe+y?_ zLV(eNWdH)8V>FRNO+cA3@ri^gPSynMJ|5Pn+wVw#zpo2C<}@jZ8T1<{S1t_DzHF9R znpx{O6YS$>DL%G^-w&V|yDqtwwst6O`}j`nM;dSScBFgmjv}05!cGzC}ves0qIzK zYK1yVZcn$VBNb)|?87dH&cQbDTbe|0ld3CGhYotHeoTQ7DmBMvx2IawK|U79!#GJ* zb(@+3-eo2!{Fg`^fP(BVOr5)To9;fr#>Kv<7P397%=sKzD z4-{a1ec|a=-h3Qg3Z=&$LYiE(I#-o^<+tYYUewcYW-1PY*iQBV5D1R;6|KrM*qvyF zp$5w45Ew#|uOd*aRmgoic+)tLfs5*>ccQ#H7i=+`zbJN*W(aXO2{1;G7QuMAHr<)l zzHd;=sr`Bsc2(H4SyR%F0K7{j-nCNju6)D7P|x>rP)I91w$h`K9#K5j^4I9ulirN^ z7k(GmaLDiCfLxTj3Y|L<&+wHm#5|4S+d*s^H><_4&;{>M!Z)E?6Z8209Mg3_J61G1 z7b?kdTIl7of&4yM@TdUkLv;4d4`I`Z=XX`RuV=N5-PO7)Jc9~rd&tG;pPOh7eiFR% z6Ol*$30Cq?m?os;q*ZN>pFQV{VEkcP^Rq+#uwujR8DI@Q@;2DUfByxc{GhWHMS!}( zUUoK9X^b@a4PcV6h4S}^Go#c#WML;}MO;5cy_=XBU_1P*%J~8^pkdTL=H6zn0>x%)ze`feD4ws@cz$K?YpuT)ct$h9i>QfUZV&KF zVeuu~gTBDXWrsY#Pl&KoH5avGEpIs$P%(CYGbNZJ|z@UT_;=KG}8kbMI+kdd*b zOfY)cWT;0t-Sa`s@Q2fCWyzKXKH)dnLV@)JMauTBlOakyOlQIK6{ILp?!Xy@^za~B z2dNXS-hz*eMn!HY@Hmw~PuCKwJPfq4SNsuhD*+3tbfqoiwejg+()>(-I2(cGYjUQN zT1P8#As>^>K%$3@w8gLDmx&~}2l!b@zEa)`s~jVMHQ0()D)?`(Vj!70WPQ7$0YsX& z`m;4#WPP*8HE*qYpTYu<$Cg9Hs;wrw62{HX=E7fwZ6z1F1wQsq2&QGVSRQznVrZTs zL~u6u6iOrHhUIu2B^4sCf&yS0Ua);3#X{xcDPO~95t=Zd#(RmEp9N}Um|$J2V1Rvy zB%zGqz+lLji=kjh_n!u2ZH>dE_T|@t_?7ZW4)iH_F&poU@|1OEscJt;B=qrPSZO$f zuWm$ASApuj7<>UDo1en$(^!;`2b5N@VHmo$@>Q9%Af@VuQOzF?RFF#tdyDwZm7s{) zurU_RVhq3&iCMrHKzu@>GflS%T)hxK=#dbGR+9h9T&Kgtzr?-~A44m1$u$*k5EPK$ z?+CZ*r|_iV1$!wBuqGNQjIIYD^N3CW#KC`#GW>U+CMXJwn+4!zv5gPdhos8Q#9O*~ z(9B!vUxKxDD<63Tx#7S%eh1WV$Xv_Dg7;8-X|Nz`m2m zTSeydLqcBy3xqW&>ATvKPve{zs8tq$TtN+B&!8}vbdF0^{XvQRNL<%F;N$r~(8FGL z8cgtYrvq{D9h*s=NyoZP(;y;1LVFFxm7+46>aDy^m}3BvF;Z`N1Yb_jHFtle>!i9oN-Z!icn2|5RGDM2h2Ib+q6Ycd09=9{fSw<8(!B5i zSUHl-h@8tBKus=V&yciH1PPn=vIK*8&`HOJ!d7B%iYjLX znw4Em(!+FQ(t}%cNDn`U6ex;T92bAugIy4-0A!fTYL(P?v=wP4^(udPc^bbM>kOwt z>L73RN1&5_B(9WCfFu_sL8AgA9-QT8e{|Y_YI~|XIH||LD(q1w$z2#*u>CT$y94i1 z*n~jXO4z`Y#?DPC5Xa}j|Cr?cJY$hw1py!lTh<$CbEXmTxLy{!taN{y*o>ca=F&Lf zz?{0BJW0XM$vF%|*gg|JiHrcUi%ClP(lnk;`&c+Lon*YN>}25#2(lYdpgp5P?cMG**$j~p<+J(6 zn0N@X;0PG6VWOr${?_L4NLxQ?q6ie{&w@cQ!gHvfo-^on(? z^h%Ct#1^<~=n))gdT%kpo^ecy#T>9N=;My%2nxb*dyjfy(Li{#q#6u*C{h;nZZC0~!8(Cy`}nl^QWeSD zv^J%x6-d)w7xV?b_fw+;j<<^j2Cwn6aSrfUVpvTlAf1w2b2m!3N+8$VjsUENWDQ|& zLF(q~v2DdhA{8iI-CaH@SRIYJQ!6ma5 zHa=flW;LnP_;Un~O@dD#wwTFQf9h`4Exq!fljJ;bd$2QNHV~9)!+_XHLh4gUA0I0vMPi?D+!C8qTNPLgq9~ox{TtMN)g14L`Ui8z`pvtu!j)rBt-Couq7)2 zLyKBtQFVTKjKgEG91#-77U*N)Yj&>QN+L-L`oVFe0fNO*ui552^#~lKkReBZjs9-r?Fn~EPr?+ zqT_Pe^fcC2xA&Qt4obz)(J15c25l3G_Wal-OG(1R`S~_}8M*^gLvU2WQ{gggH53Ua zxIotl^FW1^(t~IlCWPJwCbJRazx|MgYng*Tf`C7?09~SG4_lCrrIY_Mb{ODGYjI)s z)W5EFl4`@3nNBN!B zvsYifm%$i&Oo5#YhVB_LnsY9uO=z=wNJUBoQ^D!zqi9HX=WCEts^Wy0>uc$uLkLjH zLpeaewHlnT4+8%3Q#=c>pz&I72&Wxm#bzN;b`sN1q-iV7kRLAOANNR8%4eC=_#R40 ztruOuOw8~kq~V=>JA_64a*qm0AW!v3Gk`qQ4Mbi~11S{1X8u(Q1-J8GBR>vS{zqpG zxxnm>+ZkT|dpBZvcgbXv7w2-Y~e(Yu0VS#5K|i~>gu zI6?E!+hjM<=-FjA>9Ud2c_i!$@cYO12$Kmf00=VtDTWGwZ3F`9WgwTXIDZo2s%zis zVIC|vDhbttzbqtPC`qI@(BAVr65_V*_#KFoT@KPdsu>)~aD5UyDPcdwnIS0^j-LDp z_#N@Hn6QJ9SB-ZR&c};JNe_{-!d=+Qq0ji3H{V}AC)1~GPV=W8;?C}5kO_3d(Y?LZ z?W?CM<&aI&DrkX~aUFisK6VTCj}BisP6Sgs_&y|&vw0cqqUC`!6kbcJRcbT81=bH} zj(uf)2ekrlYu<>b%CDOBMpw`zJ@_+0gYfH?YcU8t4kwJ0L}8KVU++!Gdf22O>76wX z1)q_Ccj@ZVf_7d?c$80q^wnrAu|a%HcapKfMp8mznPPW>rZfKy@)dqp@Q;i221RSk zab3CcB^<(^BRGkj07vJaV5_6sO?n&lKOc+u8Pvg6FN^x%qoQcbt+b~-J`>xFBaCfyhQ$=y1DR@c=PcrlDGGj|X?uCA^&G1cN z_07EZKPkChZX9Pd`$D)TLz~n*Hw=C_Rf7_c(l{2QkX*39soRu?&Kdlb5P76ER;p$Q#_AVpDTbS)?bkhQ*zLPJ_jwEOz!_O8*XkGoIE093^ttZ1lK1LE2J83 zPk3yqZl6p5(65DLf?WnoOUbW`)@8zn2q<>)Vf$!!=$yhIb_1#8p%X>7SdNr zZH8Z92pSSN3Ob3Sd4lxT(P{!6dW#x-6`a_Ie^4I)YT4AMV#oR zK?=-lZkNZHRd?g~d~?%yfj=$0gnc8?h27{x0XhK+gdGJKLYC!6_M34L4gHD@!@}0? zwwagXk^(rx9>^E_+aOwZ#Ni*7>aNLG^i&ARXQ*c#kn>qn>=-t5F&AP)9g0>2sGUJ9 zh!Ng&Q^gt^*_!f$S&DXt6{nAl<89_R&SP!@6QH*LhDjqNgankK+s}9~)mT1#6_!E6 zoH$eB_wJ%O)b6sGrJ8X-Nnt59Rz**dULlz^!IM`yZPN^=YD~<$h)EkWy$+&iqqh}5 zj^8o-I&kGuvRN#5;Ff`xn_*7$;{3=P;RhgFSFGYGtRo0-nLtE)dL4`=-&CwRW>O_~ z%cn5RM0h`p5Nt6Ot2#vD7b5W+j6tXjwlyqK8n=~VkyW|*_89--OLqeuyU4zhw$;@hB~5r3-#sat&72|ZA-i$rJN29sI*RR*eese6bH zaSd}SDp!4^2JnKJ(uS0=MvALD1+zzGF2&0zGQ>#8#VcNWF8?EMhY?%a>oU|KwJ9}e zy#W$VlXXZ49*x7dwH_QUtv7sDzy?yfk@cs-_68qdf$!P4?yQOcjyeNSsy?c5_Esk$ zWME6_a##8_XQcz*M0wy_Coret{koE|4(eib^O%q_)*|r|aSbOQ=bM6sb<*k4P<|~Y zq{&3Y%};|Z7{}5I(Q+wh8CN}N@$Ij;)};Qk0wkBkdv#Ta;|>E3CHX+4(A8%*PBKt{ zL#}Hw?8Oi;|C1Nedlk1{D@p!dK6}4g4s4wHq&A zcw#=dqT%p%2hKVbW?6vpI7B}FCc)gRM88V+hekv7Y|z?>Q$@h3TG8=lFr_H2fI&7- zZ%P*$f!^TL8q36;3-LZ`4*oyJN3;m)J_EOIUe0a2A_~n!z&XRR}Zg5q&_Mo*yAV6`{j`Voy!d7dae9ZQIoKHRZsx)R;`PTstc2KT(Y z`A#gaF5XOsL%cuw{DZuC366EY#hY&viRaQl>Ho@}@jlG1-@=Rh ziq5-dbj|5GbPr-{m!VvcJSLc#(^I%8j~useu<;Ub6i>}!*e({^@XN)|5u>vdPvKR; zY5t-`xj}D_;yH=p!ZC#}A-V{a!0hyva%$h8$f;JXEmL~54p#a{qcxc7(3D)V*hjDg z6;@)K?+N9{e@8x+;tT|$0+~!4Y`Ywu+?&@BwDMzMOapZLC1c=M(##9r13_-WgPG#1 z6gDMSah+HqdkPl|{3qDB1|~}QgGu~^AEwoJE#9I};84w)?N5Sg6hjc+<=2?j|eUKk600N`V_ga^tu?2FM5J+iE~IJ_UP+Yb_Nt-vniOvqCOAxQJ`r$Y|Dfiy zd94uZ0xux24}un6ZIsCAVaPpvFpUKBu9r8&zQK4GDVf3k6|0&}kQJEs1??#z@5Ha> zJ}eK+Uv8ndS%oOnm1Q^^#B)TQo*7^?5TVdXxGqm?b`s2@ss0G;9j62GPNMjLLQKHSkp9Y=L;I(4Qcycap;ronQ$T>y{g3lGo+$ zk#|e>^x(ATPP%p`W$A0&0Y{UyaO}g*E$nhz`3VfE!ESBH1G|j~ev!~Oh|9__K}l6_ zP&qm0*$AXzsfsMmh^U}{3U=dG7c?L=&Cw(0A}msKlz3!xkM%6?zj6h}Dc^T6xab@j*z?+T>z6m@Trb>&(H7 zrVawVekSP7&?%sT86d#ZGl1bs*A3_tsng4mG9bvKEAmpuP@(?v*rk& z`>(M3qc|h^7Q25(B%Ws*5`L}Z4iACB&Y!@}oDffELE|CGYp`}F6f)@BxbE%$oQBPe z11p?ULE(oCM5cyqu~*Ui1pk6|>rZ^pM1gwiNKnc}{Q7R#CIdFHnS|KO2g7k>Ev<1( zOHzq_8goiwKoN?crNr9)@h>Q`ugyp(u`eO;?>0B*1>aN$i8S(r^Jiivt)8hG+cy@|shheuBUndiry^rk|2EyL_G+Z?>*E{(` znTBl8hkt=2lG2i<#vU@{S@v>eJ!X*p*5Cv~akVbV7Iwx_5wbJ_nkhaDYcV{!pHj5J z3P~c^OQ}3#LSRWR#q}ZumZrf5ehnS?HMbE{CZ~OMu)@MroO{46mC)}fj4yU6p?^>n znEFN{-Ay)rAx?Iw(Z*gc^wzWO3rW|`d_TKZ#^Dwnb;SZW3hc+tySt{pZVM0|RsESd z4hG3HTF1~OV@L{v5SWm|U=|R*m{323K?Ex2oA7xgc?1L}RaJpDU{AzpaBMk(a_uz% z_$$k>7AcwB37 zucf`*(wmK1q&0p~c--%cFG$9pjrR?Y+l2V7Mt%!Kt0{7=6?d;NQvJj7x^*9@msfx0 z52cE45=q_$#;aOXmt1I7f5LlV?@KKEE$9Qps`$n3+EIRpWugwQ9BqeM7SF8yY<+Lw zBB~ec#?F1}OZY{EC$?5}8o2GyqOI{^-MAtCY`njL8{v+4OFR|ojBESid~{c4jneZC z;T&s0i>p=oWwapTbsY!el718E(;PjRqP1B2bc!)ajXw^)i4M52_U&?EzG~x>v1=yq z?gzZx?M>Do?8YTlf5=5^C)FRqrT*9hKp6+pCR2qstmr5Ok5N3$>U2C))C{ld*pkU{ z3tC}I#Q*W6?;v>$AN8^J8 z)KvKtE_uQ)9e5apt>~;FjX*UkBeiD^8GE|mVQeBxnPOg%%U}>qTL-nPBv)YzI}%YC zp{v^=d7XM+YjKArVrWUOwFe+ILytx!yK zg=d1hq9`9@sZVfIq|uzOmnhgez?6{CrHKn07U8X1h{J-=3J@Y(w^Z(L3m%vi? zz4Lr4rdQ1KGo*(7-+BK3mY!GE{V&b)OlW%FJI_O5k`nVg4-D)7e4bfl85Rz{4Fgdf zx1YCw>nG1FV7zShv5HdUE4#Q7E`^uCE?=k=e4$QeN`7_A8Vg;ra)xDHu5FP+?)-{_ zxSQy9S48vWXe_nH>eCfBCB%2iBT!F|$e~ij7jnCWES78=f=IN~TMM}#U-CMq`N~A| zI5pP&snI}42EYjXhZ4>2Rwq*PAvu5jcJL?p)S>8+)Y`g8TM87vlororyX1;GY}j>j z?H0fdnESMgQR5@55Z;)FSJ z$Wl?4kM>vbe|x^@e$RR5%l9A57kPR7d-D~* zSWHdKmm(&NG!fsaLr@RCYu3=p56;@}&z-fi=j_Ozy&K0D|Sg)77h9wL62obt(0p^#4myMact3|a8xS_mye(Vn3gdEvq*&0V{L zj{}xuHx7$F6l~-F_#g5D!%Z)A627zWmt716e+9ZEJ^}=}k)PyS@s#R&{4kdR&Ow8Dc1#Abt8))$5jq&NFQ6OQ@9 zQ=nnpGE#mKpLZhF!54x^%(mmj`K@Fx#K+a>c2%L0ucm9uMh?aIVc<>aR$Sxg6EdN3 zwihvnxRh8MRYJFnB!NmHfhu9rOUP0%o*3V^po@pV1|Gk#owLv!3>ZXrxN^Y;Qq)tx zAR*EaF{!GffSg9oyoPZXB08jV@)#3mCNPTdx$vpSh#pdk?zRP?2mGLTN-+7~0FSJj zf7P`Ggve|3gq&Lo(E?c z5@)eh(g+M|CV=!ge<5>|>0boMaF2j`D?KLDV<3X{mo_0U?bLomUckb|Jz%sOD=?}#R5vOQQ?J5vggO+@%W)sMq9b3brhB@m zX^qi+5dsm@sW%hy%rSiLhXRh+XGS0;_7MU~=wZ5=T50ltXh5TJ4(j37GU2by-iKN=`JE z*&aOyD6ShDK&3ZZ`1S+mgPL4Q=se*%Mz!yus(}VES;f)1pel=zVvc=n5R)Tz(g>u) zju82Lo2qaci7uW?Ro7*AQ5A78SK~@t@N7-cRX17PtT0CFM6mH9*%q|93-8P|=w=w` zCVmkpNYQDl5#$G=^weOJFd{nYorkUrGs%Af8Ir--kk3b3&wrb?mKwB0JJvbd$-hcz z_u|a^Jd`E~;@rJ!EXuOR_#?0_XrC6=%0;hU3%SW4njm18x>IKYov0tkCJ-w$I_pOQ- zsP`1#rOqn8M;%?Ps?Or2YEJRbrD}Lbn409#>3GFpbEGg?hGPvzn9Sxed|8yH-d0g~ z4=#Gqjwsvcz7@Q`){~qRl1B@J59(qwGQ~n&1j)`+ zJYIU}&-9+6&XlihR4*yMS-r6MHmQotk;Uaw^{?^9u|NTqRg8?Z{7x+JI7GI+{6pNK zi3f}CSbb0No$Acud)3n7`_z%e3)S4>#cEb@P@UkuwkcRvusi-wemB-$+}9-M)0qI) z87;;5Mtta!46zouszJ?=HpVhw$~10|zlxhS_)L5SnvM6#mHk9}D?r3mWAWsU1T2ufX;S-iCk@l@}q2xT>``#^d$0?9U*24Q+oqvz_jeEHh9 za3px`+rd=1_Kdq`<<$pqO(Mm^R*dwFSfO}EoN13{2Iu(MVk`bHLAAa*DRVI)8WB41 zKr;BVxbt{HLNP(O3#F z3r_a4a%(|5p^Z;SrFVnuodl`kn-c>9Z1aYELNz6U>HsDYrWu52mYn*f>^ik_6HZMe zy<&wQ9yknz$?z;aREZE8ag)yp^s4Z*kG#^WnfRDqpiP_CW(tJoI#cBJ#BPa=JNT3E z)Q717pPTiz(N}+P2#T|bDb{Y(q$FxVi^rT1&*{L5P zV0c)G;%8Ib-wCUK5*ChS3Dg9D(ylkHoF&X}7_kO*vO*Jm;D<&GchQW=ZEZCs_nZ-X zPj-Ef7%`db_yPPUh;977-;fp!ZxE=^P@U-;x+|1~3Qgb9g>zOye*GSv@#oRs#WURC z8LynhGw>0!@8cQn@8KCb_6UP#Turi};2F;oUH^+b;~L^L{|3*{aElZ?!;huX#WQZg zr7iG`JRp$Z8Ed+D#-g)$#_s=+XY3^%ORkN$zs)ta6W3@#p5Q2gZL}oWhP^G{gR!%C zuWbxM^Ch-n2ivGiVT(tOI5A?eLOf$OBqUrhD+Ag44F&-Vs?}HIwgsU+F3UBkY4D+- zqsY(%M;yjHVhsT^98wePgjpNSjzq+7&I26!R;tyTy4~a2vGOkl!L4w3;E_hO;s%Zd{%B+8*jp3_GAmw6Kr83R2yJ6o`KeI$8@Y!DH>}FW>@^YCr(oQM}i0V&3D;+ zbWH@|78WhTmw%Ss)J@TTqqE+Bv#V(P zJYDTU%zyaR4-vDX$z*1b;YsK22!Pp*4=}|_mfP#t z1}R`<`MRUhV|DTLm(1`R-0ctf+_Lnl3H}$kjk4doi-RSG?Q@5xn-XkwvK#3TN^#oP z#Xq|4O+pSVr5zZu1-@1d-|_*}gzWqPAK;2;ZJk;q3nuLNg~1=;^3xrv6(7e~UNkgBWpHpG0<@|jw`i{^RAtseR*TWvLq8Mz=isWg6p~>B4iSe^v8TRm*7_ovA_=IPN^yb|~C!}n+^1zB4 z%=CvJrsigcfS9qx(32BZMYw}D%AhVNO!GBv3VLekE9swu6^$GZ;pNgKI>8}lBSPGd5P@%VF0ZAp+8_dp>E&>2o{;AT8u)xD z5=Q!phcC@lHeQT|=_eEfc!B1fYAh*QOdpg+qZP&3bQ2P0#)WiDj4OYkDGKR|!F_5te4oSSLz& zN@=`z*F<4{V7124x8jjrRXW6dWRS=ejU|QVI853lrG8dHs|AGPmprgG3Y*=8+}g<< za*eI2L=p3fqjSRk5o2BL#=6=CM|!NQ&H3HmTQ)4j1~tMcE5nMmtb-T9#{k^tUoob_ zIsZe7PkbVqK%Nk59O^Y7eennmkzOrv%nxP6FR3kY)MUgRa5BJ1AzPx+ z>rJ7-uxbV$f^)G0UhLG>}orB6mj+o@`g`(=8H(<_&gjX2v@3ZxBP986{V{GqP2V;hbr;0KYZ!WSKfg;v+yM& z!+}DEo9v3^*wZYsxhU?HwO)E0uH0m{!McafSCb-*1;ULyz1;%FlCIDOhv!0Uco71t?v+4s@oDP~-TINQmq=Uu6DeJYY)x)zQ$^zqwrPCoUixV_$~xb`aS){*LR zY%{X-<^V%xB||Gjb685~>nRi9%1%cz1NmKzLdpylRjkg(Jpyg@$jgF|dNa;f3j+N> z5>KzkVDYPrijXuig!t~m_lR6y#%r*P8crdhTg8cnn{cEP4RJRe#E)?^q5unD(vcH;L5en;^;B|b8kj*q^X>AuEfe7oJa^l7`CoVq^|mp}n>#92 zeUc(BpKj{9e0o&eGsWGzz$X6K=7eYYDUo%n)HO`y@1ht9OJT<67qre%Q){m21=&ytMoj){hJxWK=%DiU$(CK;a z((z;)iuyyV*5Y%5PkBPmbRf#diZ5n#pfR{EVuWS#kGm2m2kjV=Y=wn672EVz=p`e_ zhsrpls}D}E)|X9JT&Lkd_f7zv8$#U#zgTYZ)ciPJ+*R%hbf!QjXSoCFi(RQ;TLQ4i zUq{#3de2;k*hp8ysOJi4~=MCjQ?q?j#_& z2LEd1mMSCFD^h9cu&`JQ&;;k<(jit7trhWo7Wy)W_+}<%j*KkyPXlbRJ%UYkQzJS%j_R!xlW*vbv<4u zq*-GIqKI$TLE+I+<*dMH&6lQ*i6RwM9ux__C?7drirc>yP~%x&5QK2nUr`3q_A5@& z)|l1Q*8S^5TeG&H^1%}&(u~X~La`HLr5R5A?(;_(7Y_ylv zBCwkA&IxG-K+HguSx1oHhH8Vii@dU|$BZ&a6XlvI?`b3N8>GF9_*VROqTb~fARRcS zOr>UKd=89kX~1X}VPv}y;LF}aF%+MLCT(Nh!7!uT8KgHM-hp>L-W)?>xd?f*!1I-1 zmVTmK*&ftGlhoU?(|B`Q4GU3Wt}`D=o%kW!HkHz59YP4W*^c6O42^t%AN2wKn{fhZ zJ5ZW%2SS9ujnF)f@JWQn>>5FcLEd+xG&b_7PB-Rv%x{q_J&*&@mts#+?Eb@GW+$Y> zpTH-7&`g@B!8y02uXj%bc{rlV=h zQrTOmh5p$rZyK3{e{H;n-)lfZ9!-;&3hH7EVHyw1n->tuWrLR(<&a)B{01XT<@e+F zF{}Vcre4>(vQ}M&uR}=_Ta?PE4sNDI4~~YuU>jLa&rGU=@4wDyMyw2JQrUJ2QMxUP z|75*0H{GO;A)gO7{I!BpP!yvzUz!g31ZfzI00DzFfWHu{sGm=N$^VCqF|=5LwWQSv zGMH}p>QY+U1S0<0{IxQ}M>q~psY7VYBbDs;xCS?&NYLK1wfI_TNCf~8srs6tm=0nC zAE4Zt%PXU!Kp;LzY4+{Gr<`zp1AKc{j@?9z%BWAH{&*J#u`$Rw3tvAQd?&K~ePA_< z9R<4-x!wIi{)U0c{GH#Pm#9hkdkpG5cLca)53MXZ;Ql-<~7>5%wpjOwC@QsaeJ$q6`z} znK^VZ(Pe)SDQm6(mt>+wEHG><{=Wc9BdMY*317WumR)vKCf19Qy&73k)eu@TF1tfS zh8mS#Ln(vXzKD=i^%s=Eph9bo{R0QMv~tjQTHVB}Y!^ns70QS!%=i!#KYS!$A@5Vf z+fWYlGlK||$a*{8NgnnXz72!u-~fgV?<~7`_vB#){~9dP%d$QeU=^afa`Hcb3`X}kvW8KaK7;QOMQJna zhY-|L{QJJFYeb?^e*(f%)jzVttXX~vgko0#PLf``;O*%z;9b}SuMP;8 z3s_Y|?zBvOq6Bs6dW57ZI?%_e{H2JjL>Y{;$LYWmG6$aaGURwz*4}>j4+>9i!$6e^ zfE5XNok%xU@KJ=Ms+iGCZ=)IYa=^Yqz|MzU22V*0`sY-|mGw52e{crckEwW2e?gef zB9*!-WQ`{gQEx`7h5(XagRwl0U~mBSEn+af*d|OpNZxZc?ob*cuG#HyoO?C6HK*0f&JDhFIgyb1~ z8bSEwVw|%HXdlaE1PbDmf;OEk6~>F4lQ1HW-7LE|ZT2hT(>erXqfH1dC(%=Zj- zA=smTV$Bh<{gDo2XC+Fy>?sH(kiCTRlF0rU(@);0UNIjS_@`~itseXpUbqI7^;^7q zt}yD@9`4zKiRr-C9?rpEbUXF|We9kJp6tH>3}bz)L@0rUXb1lpbJn+@1BpzO;~%u3 zkza{MlJkGQvL8t(`*$jPM;AiL@-%a0h&*d^0EkYKD!kVF24y8wC`3Zv*j9Tsfc|+$^%Uu|yq|AOR!VU4VJq`7< zzClm6G}M=!2AYPnp@su9KESW7p?<~@^y35o??7MP#qT|I zdn@A6hOM)XH*76CDOQggrN#_%P_t8=ZjAnz_8}Pk2im}9DAqx-`(L8iX(6L8okYVt zc;RGV_toKTn-3j-!*UXZ8ajIj=nW@lWPL6Y^9gA!rK$HaHE{AZ<5vlBnF!nUJ;-IFGd5&EGK|md63ykhf9UQhO0~T*%uS zlJYi{T7*&wdHW_53EF$M7k{W*-Uh8LL4kzW{T=dl&&siDKv{|UG>~~+7{mr6M{vv} ze}X*Si9|!*-U(tpho2(fmzm6e{@eLPUF%SwAwJ9g6umq1jx@v$*heEw1l-!N3-Wfu zuCFd1ivD6Xd>NYnai?oP0bhvqPBMT^2uTlLAOv0eS4OfSZ(rUA10dw>5eP{&&tS2E zE4_s>NqHOl;Segtwg`E9kf>qE+e=Xze96|8B;@VesB%KyZlIQ{juKRt{RI&rhhejiak2*yWKOXCuo4LHg9?1J|z1Kzu$D#5$I8{VG` zcv3aF!frm;3Hfo5fZ@iV+J8m`&ypXYpH#*hObj9*I1ox?t_>A=pc zfEKchR;B8XfS+hFR*Bj@_zNbz8I@vp380|2njGkp_DK$-C|834FYR`ylgM^5k2|e9z!Gg6ESb>yZxRGEv0?K3l(Ahy2G_kX_c|NnS6IcN6SXJ6J{d+oK>UTba4hLQuR4f?$?Hy2GWl?<;+ zhW)U&>@d?C3;IHLW2f}zfp+pTDF{~B@Zww z*b}-n4Cl)BJUf*^STQFK7CQ<7Q6PnuIYoEE;=;k!@E7ucy1e34UJ#AU!*iJ!*IM<> zY-^sKsf%b3jT^Q5TMTW*?u)ehnj6}qzuc!?%Bd$5q5cZ-mUgh^{YrAfLrUk4GISHV z46&n~hO(W&Yq4>)b472}_&5~bQBPOwbX3%Gbdjj2HCipZpxTO0FM_Ffk^;2YBqw`T zZ~dlHkz6}s6q(Vpo%<$tt>Iy&kmzH+XCZ zojFcb(jRTiG*SDExZcV2KEGe)S_w#jvKoh+`9{vtPNm$r*6VWW68VO@uM?ft2&ev% zvph~8_R1;&QSJ{PM6K68?Q2ly+g(y*cg9&?iTD+LacbZYFP9csfgy=Y!{* zRlr?q$OBPVZTjRRQox!&f;A#wRZ5=2*N%uedC#q+qgumd&fDT~Ds}sipxk%O{VZ?Q zu2!64`vlPMatsEznuOQS2(%7lKc7Y zx$gz7L?0J9orj(BAox|l2f}=`Q^yu+x9;LAXZ_2m=@rK`1MjQZWyV+Iv{vOrN0qRt zMsA!|Zwz9_Mk)qKa{OaVBDGo-4J6LoE1pX4J+7hxVNK9s{l$>H*cQc$B(R;tvil%0 zL4{%(hFyuATCZaMm2M>XbUNy{p@Mf4kqNti(j~nMT=m!29C6~|mFGpgDjpsNh06K> z)09Ij0un!p7nA#AF4AGmrUA*TQ9!arC_4|#z&~VhVBxr-na$VBs0*WqgHPsOp*LKn_pyIr3xNK65Ha2tR7^R1)aUabcbX(v!-MUW_ao@`p}P9fTZ?r zL4o5Y-B4adiW41Pj6ASUSQ9Rgg-`SL~S@y6N;TX6|!q|6d+0@}0WTRN?fKyymai_kwtRsc5V*?U^qDoGTFlId zK!-i4xr(>iGlT+fHaXI+Kr&h*REFpdGD|e3y2PVmaEQUNzQj|W4$Q=f2n9{@86S~P zzDrDaR)1=T-mp?@$VYliOn6E?zstASEeDo_%NI~wRdg}|P@DROvE>cN3lifWBNxX8 z#5D{`t7`g2&a@JDXF+{&z4*uRrCq8w4GJavdALner7BGftYWM2)7mUnso+ih;i~8f zaw<)>X{1D$ujlJcE&I0y2R9StjL1dJJ#}J~CTb;oRH61_Ys{*$PfgTH^eE@&mG%jV zS_vNI{5+piG&q34*F67}r}FB2Uq*W9OA10M>?aCz>?Q{piP<#jeETmg+c=EVnmWS1BheAk@Uo}!oRaj^S_*?|NaH`ul+@Ib(9`X0 zaoVe=+sjXBubyr%KfBsH_}KP#HTJJYiX%7AZ`d5IZrC09#YZ)}fl^o3zpPbAmgRGs6*-w6-`2>JB^$92D<&DDr=luGE!ASr5gHs~C z>JQ!^e`ZH}F&?&;Kcn+F4EOmd_!f(kb193s-qgpz-hx2Wra)6m{lUtJxBlQ+(W10p zFzGGeQ~klJ=m0?m2HSBMmKUT(KFR`WQ)~~G#EA@`_<5yW>;UR)?L~f`A3M}*?(l@? zHx!gOdA#oX=R$~UZh`hw&s|FE#Jl?T;`)PQ7J?BiF`|ui70b`ZGsO;8Z`Z^+d(Azz zpy$oj16%d_Lqs=gHMauN=t!zk5sC|Na_&#qu@dV(R+uz>yzCCpCoX^#WH>hCOceoE_bR$d*U92wC-(^^Hj-GYM2e>^$dET@<@D8Ailt3uC&ir0n_ZNWj%Rek91rL zhv8l%ba{c8FfU{vZNm6Hxi^4zZ7R(9BIXG8?f& z-snd4rkw(^Be-#KwvwMwiSo~sm8VMRLXB_}e&8UX?7#Z$(ynhW=UcrElX{tPM!ed7 zE}I>1u}Ep4#s#{}?E0WQ{ek3d5}x4e%u)$T5i+f&p5cUd?-W^j-V8LYsop&Pf_w5^ zR2b z%~z(o{$NEUq_7=WX$_}$J5#GOITK-0=410?#$8Fs4_f_F)#%FQ&jgr?qCubO%#RnldktK58##h+Xo-+(No zLr%Mdv)hOiXtqzhVCjj2)Hur1$uf?E<)jWg0@Cfs4-juPcF+@jRev%McOuR|Q)TQX z*j!f`h1oJnzP=1^R~axUHSC3}h0-6>Jd$E73 zkyfa<>W#r`jN$D$`Vu#hQwo#f-|u8LWajg4@51AKmVQT2skIan;$&znUW(f7=f1Y4 z;qCTAid_?~s|*t%j7ux>texc`%a;^)oOjoP5y_pr`z9@-;r!csY>SN8nmiS=SVjMX zqN}(g5dqI6vCIF@Z&J1@`m1Ft!UNRoi~dEg73r2tCxv2Vj&F^vWyYa16^cthT%6>E zRx`eGij*87m8a4i`)J6>NOsHh<=g2bvdlgFKwtJAH|xoHj=5;&Tk&2w=G%|hn$(x? za=zW@d^-{`&x&NeMFbc`r2mrK(~V(<@qn1^T88|Sg5lj8gjW!|r)`F>ecnKcIm=1B z+6(Qe&H^wJi1>6hBoM-o)gTZgvLU z?FV*yfKsdfw%P75x*7_gnxlFnz7DYWo+50iw*hkR@w9^Qwba|86N&l zkR_~Gh*M*0)XV8|Hfzw4y2f|;(U6K>P?LM4hhWN}3{I6>M?hD{=M+?LPyVJ0Uh4zqN9L-~miP3;#VH^c9&UdVSk+j| z{;FU#*nySiK#0(;3POVgLIVUsnn1`~N4!}t;E{OwU7%PGD7wZUpa75z7OBYtUJP~R zbe8}eba$$;$!=PiTAfB1a4Oca(0B08v2|tvpgd7PnN?RSpcb_-192-CxMGi0zfg}m z42AvuJA3G87Ph=ohb#q@>jpQ6hp!4PY8KdrhqqGRu*6T5MW@-eXjcj@f)b0Mf@0wr zDuSN&w968gETrsR1NB8a<-0|@qz>vTYS;N6?RHxJ4hiH)=p5dSSOTa? zyUs&|&6#2z(qHiNS+J>-c;`*QLi)TJIW4w(NNnXm-FIaE$iSGs^ZLZbUeADe zX`#qiME_f>6GD$ha^7!y@>R;<@W_@=yovco1LpVs=7GgEuU+H`nEUmX_q~X7L!;*z zE$@`+?$<-^f6BMIc}Ohwf6k}qPbgC23y+yu*h~TF$ z4ad@daKLN{nrlIciDRb5q{j9Xd_s$Fee}IRQ@bvwgmeUn%#6d|l=w`JfVjw)M%=4S!lW<7DuX$(WqJgn97 z*A7%}l+(Lg0+dx1;tN?I7Z~o9bqNX4j^Qd%Jc%$<7*(TU0TH5K>jsu*wqD-bQeHqrYfokOi~ zp-hZ51SpL*%C%tQM_R)`c+Yew$@feSG;;&D8nd0hW5t(j0}bq>a~$O)i{#LECZ-q_4vYj&HLjL$Ya->fpKS4PYG z`GydEyl z4ML@zQRTolXJ8phGd+mf6KjtQ*9uAzrsXw zpXl6z^h@4{7InTtb@LI^?w9siAHV2z*+Y=lmPxv`aFy3(T^ALJYZ!%EL;o|2BGQ%Z zTEn-X#j(SAkvjwp7G&DJ<(s!#uyM>c#>N49Q)^~YnV;DZHie~547dAO7?bM+e7@J| zkaRF;Vjb*^lUB<)G0rGx<9Ew^y^+nqbiR;QyOAC>AmdIgH>hE+M?UTdYQfhTtzhH3 zc$`qOZnl`C7oi(Gm8qmPegRN|i67+!;tw`{&KFD?`7rsGq(iD2H>ZQSmPU>+^p4U0a)v4?LW9oubND9^IW(NobjZp1(isk5= zvVge_z3krsic{X%^j;3vyHQmIwF&xO(HcLL$%o4#NR}oTUx!{&y!BJ83vxy^Ub;F1-X4f$9*qcKK8lOfK+9;d^DprR%<*LW)Koolkn8Ln*)`W*6@1;$sjyo zL&G#MStfjpG&Qvvco6hl=%8ode=@BEJ__NRI9zlFu_|a*1Tk|C~rpZuzD}a?y(aGl?WSh`CsNbu(BzW_A{f58arH#s9kz z$wncPPiKgvLb#xLG@N)u=zmzN-4#y!MNv*|{Gl}IBsB@CRP^yUq>)pidN`y}H%B*Q zY2*7c>yASk*GqbuHWEP&lDh4HqA`(aBGEbY>V;$I71YnIrpweuKIo#3DxX6g-HJM@ zgznTa`iC5{7*j3%Uq=?tlk$WZZqOPJ{m+Qu;%B>|Q9qVmYu^vDX!Q44xo8A2`NP=m z#8ARpKn&{~VmMmO@iawbq7Rpb5qi6eB6j0DL@}s{<6(z5Y7Ga}xCl4-KjJ$SRY5*> zWr*bI|At7a=y~9htRpjI|8QE^%x|g}9aW&_>cYqc$h2wo6Pl{D&I;9z=&aUe-t1j? zjPgm8EW`G1l@IH6(=~X_@U=YGFLbXRzOtxYNnXSnFH~Bar0;|-(2A=wYoI+;1l@py z5Yb+6xL9-<&1z$+WtZ38PDA|ya36lZT5JRQb|I&0xQmI}7fSVq2}Z*_Dd%hZ*6ETwpRTJrG!qqap+P-hy3SY^HgNVR9& z$N&!`0~o2+Kmz*#VBGj%Mh5tzYkAAc02pWqyD!7_7D#5ctPpO(w^p0DQV9Yzi3J1} z@Yaq&+w{ym%S0ML7+Ci2gn^l?UMS*v^O?v1hy}|XvEXMS1Y}4jVu72}8~ZP|e*X7v ztDSZ?hX}bGu|P=$gPpNTBafW?s0JTa^&=z+J>d;43YZ~TG<=y(2?B|jrpOOQRcY?k*((;mS?l834O}aMz zO_3##9d1nb8A4KpP(cW6M2I)oIiL!~MoAWlGFQ5Kb9g0>m=ensX!wG`i4AK*V|(@Zkmfr5aq$ zSyQr;phR3DWH-RiRIMPzks-R(H}b+dqglZLrr6k2;yc4DFv!#Tg}}*LR?Kw5|sHS z^)+_;l!iY!nlDB4R2o|m98!_?<_d@{tN&o_nDRVCT} zf)rxqHDqzM?6$&BI5AaGXO{bo)e5&{paSRws{)l}fiZ)WmM9Sai-^zxt&V*9fp;^~ zkfSnE%f)!!e`UEaoaLfFwf)=WLRMYQh2XC>`X6e!cx%+xEf zMfMzbDUt8HEhQ>JEhX#JQWE)7>;-|J;zSf6;Y1`;xj<0uXt0!ThcKW+71>64GJ5&Qc=nur8!1wUi7#hN#P1 znvy(Ct)E?BQ7g-tvetx2>Z&)Bj3nr z*G`YE9~Ece!t&z)Mr4>E;iMAx3(n}~TgO?0q;1{Spx4rCkYJ3gL2`frrx12qgDg-? z)*ulDIlq!MNOG&N**R;FQZ#0TwkvbiAo(t>(2@_oR%nxa-4-E9$Sy+iY4nfBUxbdS z0X3GSs6{BP#**KrYWHy$Az4qmEkcL0i;&ZZUHJ;7oaHxXAS^Zoy3eKbVk9C*dNC5E zB8$-)_7|W-HPEDw&rYS%Ytqh0t&aI(?n>0ar)p*RPCe1A8q%_Lw|ViSW2%*LK!j*K zm*GSCo(v1d-B8cW3O2+Z5#*5-Nk(6FgVN2{tuwm{;d`Y*l?iqs6O10(3xpQ@Noc|E zk4x~s0pedpQQsKxp`0nz$*=Z3gZ4jW$3@ZdreBI+D33GX51FRcg5Zx3Z1QN(+NAN zn51q}rj@pE$23_vFQQhGrrDt$N)?%v;JFzZ4 zB}u>qK@A#E+2Y%){bHr=-l)6ZfH@rcd|M-T!k!ty#EcYtS&jYz z1B1e#l|3g;t<-(1=k^MiOI4$YjmxfpZ-b=VqxcRB#k?w1ceuD1P zkqsO;g8@?zu*X)e23~|`*a&|z*tc~aCzGH@P*$sA4*W)Pg3#~EEkQOx%jbIjmS>+T zLvHs=tGvfFs8Nqj6{z?&MlHRmqX9vgFldR|JlR|fZVj3r>apEJISI`htlT4G$~NVT zG|Xjec|Wz@Y*T|~bQ`pug!V1e9%!+jaz<{9jGUbJ6NqPL_g6;l=jaBKPf~86a+hqS z`Ce7SwaFQ-8X2w^f{E{{;SylpBEz*JJ4!9-QR-&4J;qG+*Ch z4L`~*>Xr`zMXM*o8`KyD*k{chqsIjeWMBl+)obL8I4$N)n6syRMVl1*&D6#g!8im+h#v*GozajEBV#C$nb{WxUlJ3KqCYp+AJ~E~pW5WYrb_m`0@}pJ3TQ4%&#bob9UDw#ULI(ggniC7wyUexpyNWd zU+W1ct|<%--W*QU7J_j@!WcTRfgf=9tMj!+&eQjA%e8mdY~YT%h~RQ!@340MK=v$Q ziS~Hd&G&F%EkYPyMc);8^%Y3=)tg+TH#F+;SLDmOUy5l>=5eFg=y{o}@sVUx`LkL7gFMxn zp-cxpXLtPyk6*igRs8H^n{?(SnGc3}By4_xWFDywnXlydzl=8n4|q5bz2*I~p!loFx^}TU>NP2-#D#9q->f7PUt>MbIjYRLCnR)sc zPf@h5o?2sIj~+{U$bU!D9>@+O%x3d+kw z?a`olEt#|zgm{+M^EPtIOGBy6A+(j9fyxh%_R44T28wyHt-Vyn+xVYVO2B+i>XXId zl`VVB4O@0{kfgrloj?)M8=c}}hx6wRO4J@9hi(S$@(_8YXlv$WFfkjC66|in=3C54 zZONBHz0nz}F$q&k1@#6KXPzRq41S3KTov@~nO`v8ocdRfoo~J-cKl=!NnQ0e5yTFK z9tkT|0V%2Z8#;bB=*xgG0dG9cF$_UM=HM|Z?!{%!N^DT5IKMb1>6FO4n!Sf2tq1elw zj6arcddlUH1do&sabl6L26Jd0`+d>@IjSJF5@!guT{eRXda5-Z_=zXr+dc=u$SKf) zZ-8oKTrnXR7>0Z+=hg+x*Jwd)7@8z4zyT!`YxU&J2kIMzQ-uH8?v$;{gE5 z3T3=Uw9NtEmN{?G(_rFq;xDl>>Zx@hF#i~Y6YjdT+gAScEtx--a4UW1RrH@_XJ{-&M6k_5qR$hf6FcpTPmwL5~b>4bO2;n zMTWV(Ew6k(jPLCimq{_{)^r6yW@StEUJG#(Pixcr`_1T;#UP2P1jP!AITr)6$%u89 z1rt~0&HWK>JD#$T8z<(@vfKAI<=aEGXEw?Somfo8b{1&Qg!`9i|J_pOZe79?%LB38 z-wG6h#deRNyQ9v%C5VxYq6ZQ>#~s^Mux0o7hN+&i$WG{ynuoIN{Q|`lOUATT%ZvJ3 zmW}McV}^@OIlK)%I2FD!_KrsQ+fe0aKoYYg?aJ*TDA{M)53%*{>@$C^+0fX37f^7o zO6|nWdRv}7LvH!@RdRFN-70lWm%S_B^KQAV(c4X>a1{JiFg= zG)~aAmQZB}ee$(v_rX@J)GJ|&SO7Ng(!8f}it50+)GmrYm?w4QCI7)I`I#?2^OKLH zf4b$TJNZERr$>Hzk|3tatlHXX^4!PPhP<(fve=zxG@Y{oEM zQG%~AUfU6(ioMay(dfBJRt;ilKx8C+3xfR=e<<`d*fE`ku-i*69-ts?OE4&rX2UYiS zYTPUpH*N-Zxn?&rKni2pp#mBi{dvNDrB*VT;2D({%F3)G%JkM*_fB}5)t_rB*EL+% zbKS%>n`=JTom`Dv_i+83>(^Yr=X#8*V28^!fNKQTXs%kWOSrD#`aaiOu7zAC*DtvK z$n^x*b6l&rF5BsHUCs4ft{b_2$Tg4a4z30+lj}aNUvd48>rt-1ay`xUJl8QkL|t~M z%3*StZd#CxBwj9TXo$)53D(({$R4&3H0zUz5Vuh%7A7Ec;z>Ge-ncf-nSgk$*3Xn2 zP&n}{l*1NP$bE>UJwXsgP7+{U{X26}yg1@{$;WsE*rUrsu#*(A9|z1p&5tUg{j6!f zhk?gb8ZuYqIIYwrCJtJGa?E9}x1Kqef-{Zo)XgJ_39rRAp zT&N`FGi-a?QwP2XnC*#+H`X6?+Obm`$Oq22!ds|%w83^|`AK3rm%yTkD^)-54qoCCogd=M#>T%PD4{^mul;BS7U zAn4mm{BAFG&#S{Qv~6NlUhIQ>ef7jMWkq}}FNz=O`jq`G@$7{MEXncil_N(8>b+T< zgNtx|hA7*ERjF>Q*`+Dc4(DYd-4!x6LnbD+YmxHVBI{&@G<*T@e-Li7FxMD((TDfa zim*8>h#aFm^J$QC4&b7fkf`_o!Se~>EFcPkg6Cq_70e*|SjEAD=?=m-rx9LG{SCv> zlv(b8ly!-N=U4WS9|eNvVIDCuJz3#-zIYj%9|dY|s)+WtW(m{8_QX_(JYY)V?;Wu_fC5v(*jdTj|SeFl^Z@{t!x~ z>V59&R4{&w-ph{_B^1Punpq;&E}KEa_%&99+(5#p=h;82H*Z$#b>0MK%dh8Vp^oC6 z@jkz}hxa=7DYJ^z@2Rt$`?M+O>3M(c)y{p!M(6&$H=X;9Wtw__%Nfpnwx3x+{>UWf zzF;S&3;e!)kK7x|>*-I)AobY5<4Lq#KhWk(=i6W{XZf~ii(4Qfz~zFuy|iarD_fF( zmfyZNwb)X5z#~&z{18ve|AQX!!Q3LU!Gk9yS`@F})E0~D7*Mf{n>PSSX=xl3_SU#sPz9zr%%-u zZ*$V8sdSmoQt!0@(Mg{{`kc9v_C0O!U!1fXC2hK--J&i2m6JAG(k4q_YM{@vDqCj7I(yDPF?ki~0uC8YXTVlUjD}&LdqRIH)_EeH$Mbq} z*X}mS!oz%btYv3H7gBsXUhw+z9e_)FR-EDU9cTDidSgq(V5Z^_uZS`WL0iDwI}36$ za@Lr>k#g%l4UouLzs}J!i0>e|gWUEx&SbDpXP%1Fyi7zVDVK6nNxE=Fy!8Y7_2;W- zr~Z=6D=0Y#^-pc_6Ef(6lHgj0UinJ$SCYVSa#~Dq%|Xg0o|ZXCxiy`!UHR)dNO`lo zc91gjdTsJj=WCEsHVKwFNSS%vksKw7?<-UU^+xh5Vf12H1kxRq?MXSfThRuEnqn`O zLCraDBV2=xe72AN$S97Uvz9b4ku;bVl{R+HGo<-d+S+tlV9p;%0|UwTOgb$*=O?6r zeWd*%od)*J6Kq8Rr_!6!>0sY=PWlYe=ggD3!9LkyCokBybmD|lC&LB6i_ zwm|o-pF37Cgdh;w6K$-xs9}AW^si#o)qP2GPiD!@XUTQ&M=iVsMV}^j!XJxA)JB>G zh8-1^f?9pz1+x(FOJ|K4#9G|Sx|2rLh6`maZc}UVMAqWdbJk*+K)Gvin_7$8@* z1#7YHv*t}9UVtw-Z?f6uti|u=uEpNix|EHed}Sd^TxKcO)Y98*k4!Jc&hHlcL{(`1 zfwv@o&O03L&`Rv2EeQMfN|UDR*U2e}%Hb)^XWot@q7!I^b^3;80sNXmDD{c+X0EXW?gYm))?G+B>almsSbf@&K?4@SDp9rp=7o01+O^D zqyCQE04%qu#Bw>pakjadLmW9L=(a%|;P@TIHvndiv{GsbIqkw)T~w4J6hZ-IGeJp{zA3wiYt}V{|wc< zy|gYm-{rd3Fo%>5Eg;m6w+FXyVzlZ_P007Q*5I%>aNM{^8s-4OqEk6_DAWAX+~)UD z%`Z&l8?n|x@u0t=#4s193fT?Kn!*wb=Du_T&Hk@X0v z=4wZ~q9C+HxIG8U{IMGhCCVnZYtG7_0#Nes!kHu`-j=Tgf3+dlVw5@xPeykAzHL{KkHBmYj9)itkX zsCmUkL~PtoPx-p3bsU{qJHQm0ok4spnFOPV6Ir!tJ=l#hegGuly}9Ifk|51l+hCm}RL#M*^GRc)AP3zt`ovs4Cd8D`Dxk!Vm@XBDxz0L#vkZBW zUtBslEzZ1b5K?dn$J-XxnLX=pvNzea>KT@;DQh*=iLH?Nn!jm-VQ#hVx<%^01xSe2 zQ8sjBQ;p`UU7fJ`&pM7At&7(V3dJug3B@O8(0{hj=d;9Tr$UsQl?2$SLM9KzYoDy% zTzBf^$BABHN@(DS9CqvV9Ba3*dF0+tLH z8?7|!d*x;95=nzmFr=IO;CZUa84+-{07ft=M+D>yYx;iDu|*oELfk3W{;R=^3mw=W z_U)X1w+>}~yxGG(OOK#=D|%D?B^Lro$UKTd|4TV&PAt3!3-PJ#znm_n9&3(_hq%*p zpSDDlfxLJuPiy?E;LOZgNan{v{@xw~V@f}qop3Y*vS477Sd?9Ynm4v)*0fuIWHr_(|ywQ3A zu!Pf0w@H|{Ra9<0c$>4xoZwq!wrdmD@kQkqKKQD+wN6~L%A*v?LU>?*^8cc1oMTr9 z+7YhA5x*>VjZ?tuoTgnybQtA)Pg54U1MJVaKSKGP+`)$-^X24C+|e3;?Yh73#IGYx zzke~8I30jjRa1heVfx)(Sxr2_W_&us@u<~G?`Kmf6&M-d-gKUDJqU7d7 zu_ajOd_6Bbb8d;KFn*vdspDkHdM@Af5ENuJYrgaQlRk@L6+i zHhkD2e!(98K7iN@Qxl9VJ`Ggv;~w&@((eAHfJrnvW`|lX<8JE^Wy_X5G2o;bI~L1w zqcuoQZHWkk>6%pi;hB4>o=Sy{?Xa$%;vni=i9m3X%3-j_m0G7OGY@@9KCnzfu+IIu zqPhmExW;y{R_2Y2MaXPPmh)SU75hDm6?@Otq$Xf6k~PqAnoS-8FV*z1Rdm5Zqw+|4 z79B{w$2;bL#C8!@QiA)ME9Jaat57=ZEI+RpnOH-!VM!JY3KMV9iC7mhKXoG35y(kU z@Ek$GGaP*vRB{|alu{9nV8zkF`g@#a-8UvXG?$Ia;H6(^A}h!39QwwSipHo<2Rl2g z>!!&9$MRPeHrJ!4QyTyEmW{c!TJAb5gB(m5`x%)hs-3j4TRce22DZtpsQy>+Ait<$ zK-wt@0~cwIY6Kx6-?~z*u;SNmoh2Y)kyQ)zIKkXI`?O79b()}7CpZzw^(pyuEoknjryTzR?(^spe@PM0Gd<;qedUZJKQOH zC@<||Rku5|Y0u<@ht)96MHmhjAxOY_4w4F6-z{u*r>rL0-_9IN0`UqXkZ-*^Sx8k|^b~=EfFsd=q*aNu#6yLG0>?btSE#Rq zvoT-iOY5(E#g-ExNQ|Opd)5k4IN-V6{QOLN^;-D~(@;4uFd7!eGvJepI%E+)599BhW0%6@1nD zm$R%an^FSOy2$3ru!bS*gAYR^EU-uQ*aaLh)FNfBL*u* zWo@AZLj6_9d|MX(mcu=aO&pcDA)F`&_V8fdsUGo4XoiQ_I;Bq`?8W*?=G5I)*3wCW zvxq<5QREg4_r=s$g>#PFJ}x0Cu=-7L|*bBCT$!^R1m*T|cHc%8BRW`PDv`Q_Ayt@e}Jh zjT5&gX)iXo>i^CdxZ4HZ9Dq%<5qL|HG%MRDB|IZ-kIY>fuHYrR)yY!n2urQBcG1fM z;M@^-*c^(rm`#Rnc4{f#VzRvQ=vq6*(TU0;ub?Rp+7?;1_eOQPFhbOT>>}x zm*x+}79)(=TH@T_<%{zGg1u{wCADAo1;B2(b%T~1DGq7EkUSqEnK;->Fo><7S*=t)cwWk0~oc~vGvwx>#t zN8d=Az@=3i>bmbJ`}ADD<9d|quUt=aJ#z#PvDX#q2qJhwB!u z+qjyz9^m=|*I&6-aJ6x5=6aiJ57&OKd`zqQaNWc8bFN=={hsSFt|z#j;d+7VWv&jc z&0O2Kc5;2d^)c5MTv^`mMg;xYIq|HN9l;(JfRBj=A{M6A@4{ilXTTmAh1TN>p&}eh zp2xD%H`X~oYZ%W`t(*T$E=nWD43VDZ3rF2yb<``B6A>#98|G&ra&0D8poul{Rd|sw zw&oahTm+>b#sZUPXhBT*)*1XKQc6=EFQe~>#&Za33Ca~-SpDHTh3RCh&OitDErgDc ziJZT|I!)vc7O%^s?)BCsPTfJnJZfLthHClH)KH+t~Gi#wcgq&Ki6BAOOu)f z1#c8x(riJzV^k$@qk$!5Fj3NibMI6VSK}&RoLisaUTvVP)Wi4{thkn!dQJaw*?>k* zMqg2*u-8yOw)~vPV20f$UP!vYciF>c_-R&DybIoyuAP8jnSQ;>+2X#+z_qNVyfS*g zaN9w68k8iAmDzDIrj*tc>I2HKiybQTBmMhTgVVn#oILum`4{TTd(j)jF3{Jy zjhLlC<{E2#rC1z_thwHLQ-LJ%ytSOfSWR){DeDQI^rp9Lul0yztXa9#!cld=_=ZO5*r5knRg7jX4 zqqWjhE?S?B`W`1Ph-FAt5SeUA9+b+^wDL2O6>AOplp`E)m)G#%A_+?Oimv zzpG5R+YX79F_3&9)l9)be znO!uFQy3o++Ob3^^8;xEdrX+)Db_op8Q=ra!lFd>U#4~e_@atD+aym_s`NC3a)J`p zx14e6#n&Ij*uQ?_TMPEaJcgUs@V|GI8OvT6|Ks;wTl&)L#(|{a-ej~K8YnVGi**qk zv@pACQvxG)Y*4;gFrqrVTT?HE3{zCKGF|xBb^ZkL3G0gBgq{F4 z`&$YkS`$oSWFee8zoPr@MGuaDacFt!sQPzjoqKI4wl7szjah3;VQ9H4PyJg|*SION z1v~jdzSjA=;oZmu!v42dC8V6=q*QdJ3~^EhaC5Tsb`reY>?Wgf?f#Voku#d|mw0;d zJp#tcP^vvrKx%Z4eZr__(h=cXQGR%O8L^e%RemUD70x@YtEpi(1HUod+U_k~6N)t# zY7HixZjhq1hDN~+r;-H??=C6t6`7a*d6Uxzaz$pQldf=bOills*p-8>tA>tta*Rs< z9HIIsMWA+78TvUH`Z_JBV9fh4VQ z4xLg3_L;C`>WQgfV#<`{b)-?N_2_9d9OTB`SthIqbw1T;$Bf)j1+mx4%32ayG23|a ziU%(Iv@um`qk5P9OahBUcc`v9UCh8N_jAe|A^WwI(VsG^zJ1-q)4f|#rH@hu?JP={ zV=GZdOwARrURgGC?hkhQ+9U4j=2o*kiHzXNj7RPs5oBkddC)p(kgSS`?XqCYhA_Cu zkvWT+`7A^!#bat1by(pLp&&kU7VxUH9cnrnx(rZrizJ1^=*Y_=IxlrHhPg|P*mLap&->R=wSvGcQgd9>Me4Hc450yv|eEviYlT+QZf zC6OO5s`&|zk((FQ{8aAOE~+7abEIxj&Cle1;i8)Rj45NX5Xxv(zoJ+Y`8bT6D%}&zaBI?qn&$3KT0!a~obr(Mi>7Ql;i%S_U$W zTV8iHLhqQuXtgoZ7>iVgT)4}Z73IqdeNgno*m4=cKJ!Xq%R6~+MG9C^U*MrF zsJ7o_XAqr}+8LA`!U}$ODyQ9e@Kv?JSof;4D}VV`HWxQqm(rwrV|SFfBA7>rd1vh9 zDc@%EV=upO5=-YvDt1iLGR*`%xqL}OO;NiFEakI4=b#JuvFp@ zJ@^Lnd?RK^j-Nfx-M4+t)e>lpOsA(xpOe;*ass1%+tt_o=I*>dNKgVJoR7<Dg9`ISa*X@Q>QxR3PD9UZoXd z%Oak!J);GD+f-nGD#?N_!V(sQ;-^UCLMczVl55zaWmR9DYHrf%4_+Jjy#C;@XjQ{X z?2W0lSIs4mHeTC3t2dKCC)zeyc8Ns$-X7`E=DwC5&>_(JL#aM8flSdt>K`|@XJib( zI7{_a^|Yx#d$HYm3zC-UCOXI*NC;q3tCO>2x;Uk?=1b{H6p_YzLb20u%Je90oIkx~ zFI)ADh%m&CZur_PzqpK|L6<~eR@s= z8vIBHSq~#iB>w~GAo*eGvqcqeuFsZk9f0VGZ*X*g8T8BH6GOZ-DegVsW_MzZeG~Qy zHPl}t{QW@I5pyr&%D#GCjb%_a$@113%QI5_MTSXsk?U6)V=f>zd&19=B`wC7n&{{8 z;yQx4jok04NO<3eWkkN(xNLMwk(;SiXU5B(*S!!{h@INvL!qo zerD}Thfj3cdN$Id`%xN)-NeQ(;WVW;0J*Yyw{9JrZLF9lJ#eb1FYGyC^RuQNOyudJ z9YI%6KlW@Fx`NcIvEw4=s;MF7He=PtqSuLxa7<~a)jC=rs6{6yhT<0rk+J-gYPi3! z|Ey#{KtN4rl4d7(7%ndzY1aSMxm+cO&?q@IBU4*P`^)N-=DoALUPhH58ibF`b)4&i z+2{Zc$&DQkCbRT0XZoZ2>k=M6Qbs;mOR!#!ZqCBxyI3Qo2T|a1XPJV_tzk|B(4Orv ziyqH3@U1XXZBo>{=ze*MbqaLy1*M?mr>G(nbWW3FhD71hZj~|V6?7(q;up!$VAe3o zu1k!bXFnp~@$)qm7L#b-#e;{3GK7-Xqd3Ww?JqF}spi!!od+jTeG6|iC1 z>&B-$W>N<^H-i>D1u-%b3*mrSfuPt@>qC+zB8iYs<;314+sLNNAY}sSH_UNUi0Cd} zC1L^5_)8j_b`GI&vg0g^B4zl~!&ZYw_j(z>DpUr|+$%&Mr^b`M-F^?X&J=pFB8^k) zEeita06ucDWXvf+HjN7)S`o+avCJAP-O)#;wr7=^Z}LkOwx zS>7cllkipiai-F^oA&o`3Cg2Mxl@d7)dub@&VIURA+QBgy$G1=oNmx9rTjXxBGZ@l zEC!t1)t3utI^Rg!CA%WrRwsOw)BaOw|Evd8`}=ikfAnX``Lvg|A09&6Ifu{Dn^a)O z#%Z~mzkt+vts9kIjAOZRCZF{AtD*?;@U+KkkXvGi;6l%AQsp zrSX~_Qt#E0Redac9SN7_d^@h|+mAEfKGOB=X}RCl7#R)^-rK_)>wLO$FF#VB^J9Yg zVHW4hn{m=&v-o3PPEUQ-yV?hI9LC2*Wb8e4FlCnDuU0NZ&) zyIUj`-qe|Uc^Nioylup6k$&e)m(65fTjZ0Fc}{Kd==V4)DEIjY=8sfgtR}^!D*TYIg5l@V*k>JrBV^5^#*G@#F(<0@0a%W zK*9~jnfA_u&TL3Ol{mt!KZn$&Ii~5Y*f@$^BST#iT3x%Bp-kakT!kms!P;bp~Pinp~U18>-%IC1{)n6v?uBTgy^>P5@SqW^aQY`QW`~b;xr_#(**J< zd@AnC!e^DKb)>kMXCpS^NGIZ-)!Rw?)nS$PsY>fq6ty_vq}{>IWxXqDu@MX8$CDz4 zF$tc`qx^*T1_5i_yMJE~-pF3Esxwji2np6yItTXsO`cKZr!wD49&0ifmrh9Q9L*u$ zUrK3^O1rn3wAM9CoqO&5&iydtN8bPDv-GzPk4UVvrwhT{OgY7mvf=}uy;@72Xbgse z=}UzPNDR6Em)v|E9I>TIr{Y6yCtWpzqL6u>{xf0?a_oP5UCBID0FJD65z8&JS-Zbk zbzZgqhu$nOM`->mzJnZ|S= zT-j3F+!A;+k@#1pGUXx<;n6TY>~@;+3ELhXs5KJ*K#q-vHr=={oYF% zr2NPk%Y_J}N0gb? zO``Joj{_}IP-F;36c>1UMZW{LAPUcK)7py-=VkPr&~x?af1wp=h3wIUr`HIMVRDV@ zV<6L*G7$yofuKZ)`|$}8koi=rCAt?_#w1Jj)JCDQ7|r19!k;_`}F z@g<@hk)J%up;Y1|q29)R_dA84r$Jz8+(z0(BQB@bx>)7_D||o|I?uu^F0e z-PHACnssg0j~Uh_T|aKL#&`WNtaH15OtC7uek`yCXMe=&X}wj{^}87uScf41GCpY# z0BS(+I)s|Uoh0H}B3>pWjuHL=9<co}$>TC9bH~`VgIr5&tjeyY0^YSXk0>IA(|DnZ-MQ3VA=6ikxA+4G~In zvO~<`cG6+;HmSr8>jyG+4A2OA9ZB`bX_KX7TsQrL126lME0HuWX`Uy`ml1EeEAs)=z}q7W*Zevlm}Ndvr3x zTt3tf!nz*IRIAGQ`UJChfYaiks=f_2kt{Y?Z72iC{zI~hqRsvRxQ>-Pn+_s7h=iQo z&akdf3|j^+?LTqgGT3TkMyBBctARh(0{aJM@ngJK&3}T|5V@H-Eq|3I*DStEayUEg z((=2>M^oNCftH_#;=-DzK8(`xYspED8&pLd(((?gx6|^c$u8oQT6L_y6V~8(a4(`? zW^t($lZCscO8Y9@KS`t;z8{1=9^410*0)QxF1W8DGp#>OTCd=~%=wzuKSWMi|0oH7 z+=2VW7{QVKKwk&$b8itE^A(UEgFj~RWl|K~-zTUu*b1v6RTmt{-ztzlJJSJ~n?U}1 zIgr1)NFd+4d)tf2M`Qkj#)!||8`hT~F+Hd4yYEqLw*{*+ZNCpZAiIz3#!YVvJ{s;F z4x%_>e^%%e9s`>BEjnx6OA&GJeUv9Ark+vFcBwU0CJhz!q&R@;vXdFE&EZ$f;_D?p zeeG>cfwvi_A_ zv`(-TL&Q&Ot}clVN|iS8849fU^uo4@C3&gR#r&3c*XHZ4hjiJ;7~)CSLqnkEUR0X!~q^nW!_Y4Oc0fp+sGY zzHB4etrtlUU82B`l#-hcJ{Xz4S(r;GR}y!(zXSK?(ZURH;t7aHr=vIt-}* z

!Fq9*QkxV@-@r)S6yS<5IeTwW$y9ew0ev$0Ux9&dC?c7CxR&fw6F#>Z%BHczk~ z4NW9fdKMoNtF|*$y8ZjoWOhqZrR_X2WlB(J^o|`)sZFE6=Q8>U0frbK6z@68BKlyt zKnu5>ijX-M1C)1g6J-TuzvPkk*bGs$CCxLtwcE-=l+Nxd~(y$v^o zruNX54%yS!x+;=rZTE>)%M5k;#A*c*r5#*niGZVM88!jmD=(8h>-09Jb(_QOrO&yo zNQ*c};EjJxs3Otr^x;!E9misP3{C{^p00D1R{)+&#Nc}gq5!tp2N zHN<}7$y6ye^H|&qHzZYmTB~*`wWZBz3Uv$Q2^wW&XjGbaxwJo|o_))R>|0)k?;?(a zJyCBIqTYyv&Cnq0KzfHkxEY_W*e%(>tPx?UJyrTWfDN*ps_KUsNtI4=QV@gavN49N zv?9GHnzOgmMIYrr^iBx_3$%k^0>)a8^@x_@l!6fJ691H}Tk`^C$kiLKi=MnzBJ&Q( zo)MH#KVl-%EAb@lrmzX={NaJE2$TvV@&bk{Sza3Hqu+ zNOlc6t3llT=&cH^Yk);J90wXXd%ah%gwR`BXe>#UzJ9%z`M7^pU`(X^dadEt@`B;J z5jvtZ+#|nc4l)w6JukV+cy_-%rbY|bz%!r59+Yp~0;q&`$+#bJgJGVb<3kwpr65Kz z-_eM^zeiqV?EW5wV&PeoDy^NV5atZST!nS#IQj!M5|<}PO33WpE?!S!GZPPNs%Yx5 zB(SN5tr>P8l&y?d`}|SpxisBz!@QYz3vrw)z>b&x4#wZ zbVtvW=R)?lBnfTujtZs$%b52kZ_!G=EW)j;$7=r|NlvxN##8L5TWgflHPe`>!paE` z!Y+lHUxpBqN_O{*!y{%1@`1d>~%Q~`P0~%91z-moYq!9Kc zG4B4i1zf#-B3t&db|B>&v2q`OFoark*u`o)hXsi_;^_3Ir|TAPMPahmDF4;O_?^aq z&oD!pQ;XZ_R%aWRFoIfOD;)60NS$<*m9)d!y-+yar zU2MI_xU6;wvy9%?Y4t0wpo&fufAEml3~vgs0qg4(sZ2G8+#6$^XU*A{&_9ZG_MP8j z8SnR=h81N)LwUCO%2`b)JULc+Fwo34st3j0sgl>=he+Gr{M&eAo(~oEkOI2Hjit)oZMaqkDL1d0}Sp84IZ=-m! zIN0G^z9Lz?SNq%K{?X5fin4!Wd0rF_vx9viAkF@l{nUzSl$4nCxV024u4d1vzmI_X_FyBLsHqr-?0*sMpKI)QBSXf{iIj|;uQgsy0v0qh z($-e%ViMu9d#=utz)A5RNqlZXnEOYif}=JEM{R#9Pp_|WX$?W%;zeH=J9wG)(?9Wv z*1+_2#fX>QAg8m(l0}h_5TvoOlXBPpo|hEs8Gi%&p8rr;{Lkk38``u+sWZ0osK4orqBdc3Jh7c$ z#@apcT2Jy9yi!#xmOMpeI*o4HoUE5$$*Ga=$C7;_m!;cQ6se3Qd!*YonYIy&amCJ_ zb0=vltX{lw9~`1&iX-f{O+dDYEy{r={#Tkeg2gT@6Lh$g!LKfFMv7!$3ozo;zINn-Sb zK+RCCaT$$nt1Zk+zQlvBP634bDtu6g`37sNC7Xs?BLqrN+O0}xDqxroj2#!nR@o_z z0~&dsD1GfWax@Qkw80W{aKX@B~MSd)&cen|7VnKdz^DZmr)Amqx@@%oVX2-Vy7 zX)s9s!hKp_xHn-cE@+KRRA)yjK{8;jm(9+4hR`ryv+^HM{W~q?{qS{M6C^NT&x!rH z&yG)rTuiSJG1rI>HOw9HiGyTP-I(6+pCQdmi|DdGoTv1=`05E?S^N-eL8`QZJsF@k zAXR$B)gm)nLs7Rta6jZ07Y1JTjvT#WRzAXrE#rDo7BCNn6X!OqIhs3l-C{&iu#zof}0{gt&|cEJL0uJs@JXQtxSvPm(iL+DJ;Q z^U7#2G3`k*a`p$q{@Bf4mu0`NwyMu`k{(ej*?Q|WCv||5nD`)7`p0aUQDC{6j{ctD z1EIScoR-B_d8EaS7qdpu*~SH!Hki%J{nSoBE8E%UW!rc1-S~z94rk*O)lrTSMwc5h z;$SP~>$&B#&><(l?ibMxiA*BT1=1$o{Dd0&QR51!&e{5{+|&evzY*|;sy9x)d#S3{ zj%W7{x3O&3(AnjK_yoqVf@eT7f}165j}%*mpxL}>^qT{lUl41q)h*zG@VI5yAoX1a ziYyzE?`lrt1#2cn-uhe78&KXYJW$>bxLNIBx|CN+d1;$$J`&Nfj}!uKgBY^z9)nw~ z!&4BvkyZ#flPDe|MVd(pKiw(3f}5j{o<$9g-+yE}l@wn75GZ&qBr>M#3d<*Yh;l3$-U*7HRz#^l+hhPAK zOCXRq*e1LeDoP0{DV>T+VYzJ4Sl1(;3zSa+0B>#{HRZzJEru$Jd%%WN=_AuXD(nTeiq|Icd7}74)i+##N;T;eYIK0San$U!DKnS3^OBb?{qtRFNtyWZ$R-9-kY{^^MQBXA4YiM;M@b7 zV!KZH%m6{j=-3lDJSB_oIf$~4Lfj<=5p??hX6;SjqpHrv|4C*-21vX?2!u@ri8UIm z(SRlda0X`Nj!YzqDAtX>(MT0vDVYIOmc&Uklj~I5+GU%>#_zW}@>T)MrkaqLBH?6$lO)~mK{l|Lk0V()TXjQXK8!~-=rk{vHmTsg1zgi^(xnb8Uof48C>5KG?gIYFeQ^4mN2I!U`wQj=UKqCriyh9|LPuJ9ydCsoib#kT zDfHw8sjO6@9=THC`Bo}vkYJ?}MIo4y<~lxEzRh7JpC?AxESMe8TS5CQCDRcHUL=v` zgt(H&F@%MRZ?|yFsy^p}MM+`oAbN+)^%TO`zX8Dmgt5dyn8yG`{Q5sed1}czg#h-C z>LCJH70prhg3u?6lCd27Us+2N3@r>2JMwBRW7H`G$61Qdb!BWZ$MJ{xH+D%T=YTYROWdw!S5z3~bVY&Y-z z2Kbo-O8}XyjyB{Z}HB`*>Sn%)^KG zuOKJI7VFHj`0%Q*;=RujT=I>j>RR^SP&PPxc=4`8ZUem%Ec6OY_#(b^A`@PFc zL0r+=SIT6s4qlPv+3+Ou;?bUHS(Xt#d~WFc;$88=+QW~&hRunq_V91tBI^9u+QWa5 z-}h<{n_u$$AGL>L{D$n|cd(;A>l=JE#g{YJN4E>EcwH||4~{fyMaW*Cq1}zepVMqw z&SZ&1&0?=pG)6R|-Kuk$;b=Op-X2In>NT9Yo{`b{>dD`F!m9K5jbHJtpICKH`qu4M zy~QWg6COX2yQV^|{OQP5=P8OeM1bnlLJCP@$sLm-Y83v51yy2Ex79pbw%r7=^2;=T z4;v64riYL2Uw)psktX_9s2^jPYiiZn?vr(1_TTE7vpIVb{l*0r0z#JhbGji*y%W=< zep$K1m|EnD;2xHuwcV%zea3#T@h^5qIB_gA&eP^8N%MriImO0RQJRMU=Yqc!hlLYC z!+qS8&6vT?u3jVbD?xyo4*<`(=e`Vp69p-n1#*S_VFr&_i0EoI!u2ZvBeBtqW~5P& zmxzujrAmZyMXb_3+Y%hlE=dblPQf9J;rJv``K#1#0HxyN&eaiV$!LpD5i+mfE4q7< zs$vO*I13_30#;^K{!($07Chm$V#f5#AK`z#a-QHs{l_ z+Pn2XnkR^PnP=uHpyp|pw8T73{g39!`%li@|7D{3{N|67ON)Z55|zMSJT)o_@MfC9 zm4f_w6{;QHx4I+*z?$_(fDy+DCsY9_(Hp%CjcQjQwTsT+3Z^ZP3C6y|4H--54NIn>^6#}FNTnj?JdrJ}_ z?-+=XYi{0I@})qDTPST^C|lSo%ZW!B{#$3=K>C(pLoDnyIw7u!1#7MbK-HLs4S;Hy z)A-e};c6hdFkYM(Z_Q1OcrsVki0|cajdxi?lI~*hE$7F!j#HfDjL%AQ-@ogm~n~&I!isY4rpbN(|1A>OX>dq zrH?J`U)9HNFFCP~H-St4_dc#B0MsrLR2gUwz`7 z&UdiypCCk_qJ)VGS~o0phZ0PyS3!&=6g1Q+!GHZDa$*O8Pq|8?j-}?xFn=GC4YbCI z>xOZoOOMPn-=t-cFc^Cft2|W%F@9+dItx@5+I>Hz1>@2Yh(=Ju-5~BBPgA2&c&}Mynlkfko<4m zPf7z~pHfxvPzBN#`C76u}7WoffEo%;a#y;~GZt<6G)$0GPT0yhXQC`^M z5AWX}us5OA2#(wQ$$>4KKMxMx{NTHKmAfpQS!h zJd8L)2V%eC24$1>K)qbNt*I0NdLjOLdr$1w+-TO2|Dj`{o0PgmIz@UW`gJhbuhE27 zBH5Ic#!76A=oH@I9ib0Yr<`;uh$WEf&}Z?Hn4t{Adyw(-obg-F89W>d^ZC6hnNMtX zn$?uPOt(EfO=&?~R~=VKSctL?t?n0qY4Mh-QX(7tkV`S<#hW?waZJwN@Y@sA3NT8M zyvab{2u$ks?~Iq1?Jn15yabaJ;Oi={KbWKXe$s3r;Dl&7QPwp;j#_~T z=_y7?cGdbOZ^IamakSjnsrezi2(I=?bk5K~B~Bd8D~d&IB`l98dfk~qyCsiLNd)L3 z@G@jzcnasltKiJ!wCwv*jl-g|HaxX2v z_znAKG#$@S4}B#Q0-Eobr|G>6PtB$ZU&Gnu(Ru0gUZCYHfgHihka0Wj8svwZL$Y1J zYh5ADl^e}Cy=!`lr(sT-r=e7btz?QN0fI3tH|URA8G8@lI-r89=?d7>}a&Y%-2N=9A%_LiRxs5oR* zp}y``a%{>!>vK>)$9*nYtA|?d^iEHM)7P*NEtVvf0Kr{X0-Nt;p@fY_BGE`#mm?_{~CS*5%hQ1%3$lKPY*yvOpYc*$3hC)J44a4opYP=z=se zdaoRce^pTHjrt`0S^%AHQJACjJThq~w-(f{BnoCqBz@nCkR zd0)f3T(=WOG?4E$pQQ_IzKk|vQ%v=;$sVFhB10;JKvonR%Y} za0`)M`TiQBB;bsnXqr_sJ>BwC*5OdhC(l9qGZVe{zEEac=6QPbrnLHx)?Cmyn^;GG zRee*~##6JV0J#KP&iuiJ5*7W@fqUH9FjRZ)0rhpr`h)dsobV?^l6zCP@6`(tr*8A( zK*x!A30luR=Im{j5)*wQi!e9cSNBm6Y~$07OPw`jZo9^7TZR0foZqZ@7%|BsFA_`0|%RB(26)=kM{0|D|1hfT?(Kr-&?QH_(;(w^%+#k&v z4RFIf30Nm%s%3Dd#K%i{746oIZUb<30SF?H7gyhtz*pHL_tXDzYgM~9El~skTY6rI2o>i^42en)Mhu;(sn_~L z*?tW8SkqK664h={;#eVHsZNvdfz?17L6rqC?Mc8CWy}sU>+B3$o1OFIEi}#cZnpS$ z?pF}=l{H@fS_bHYUE!%&Yk_O0`TqF=u5(TRR}TZr)9hoZ!&XQPrRO*fUhc^&k5pT6 z&<6mGDgMKxR)1LSvg3iKA7t)966oWIFn=;HxQI3CJ`-kSbg$@Zw2ydPS_Q zhreXojRV11x;Q}RRRuZ%7m`CkQ6!nRSeTIsU?w`ky216jiOcM8CznSVst7@u|=f=yMRn8LMISrNk1&w*I>Z>UfQVp%27 zN-E}w@t%_Tp@|zHqv?wiqZ_0BFZPi&lV0~}FCFwx`UeP?z|KAl?03fzWcXlfvq)j) z)V|*odx9~We?dVAAF>R`aSDpkVbW&*q)kGKgnOOKGnEfOd|ovq(4M%i?l>=Z?27@+~9-x#UL;3VaH5~7>1OVPo1LTE~8_OWtqOFiXAs@6)9l|&X!j&G94{rdyF zui?FTZ0=5;V&TJ{V0P5=0yc%qGl-EBx4WOiH0h@btM#-xt>C)4G0Gx2ESd=!7nGA$ zzm3N9e!`S|#p}eLPM_3_PGd{_JYo;3e`4ye>#iZf2xp)$ilZHCp%ApIs1L($e*s77 z#A^hp?JP&2th;)Ur!CzUzg3PuGMWzO?mWp_&ckx-U-2~AhE?rrs1}#3;VAqx&Ay8U z?acuri*PtivumcOftA4JBz^lKnU@_XiG^2s^vgJ{_n2iED7bVx0-baAEhugIgcdqNn9o)hCp z^G;nM{b8jP4n3IcH?e3QO60DZDuzIJTd_P&(Zg}{aO0WM!xfVuU_@XDS1oiZ-IaS- zYje+b@JL&1CX@S>GIcDU5iYZ6=q@chrPWD7Q5H_C8^eXS@c@7cZ^Bg0@I)Aw-IK7Q?4m{&EK%n z67%dAjL2%~=44BlDbINHIn0ztS|1D~pWn^%2A(G}W<8CiUdjccQp{oR<@`xT%qdmr zfy~$6PFdA1f(c5#8xPwsu6=e6rCIN}%+=8L*)F*g9~5N>f%$F3P7#sY@=ku@?^vg4 z(olhT4Hqj@KVue$$m`AKV1&Ldk(e<9?_yCcrWI>J6X8l13=IK#EhCepD%aBG=Ex3! z2hG^{w?Q`YN2ihES^H(gfjB6~mIn>yoYcX5IY8A}$o3F9X=z=0^E)nmXqVU_xRh4J zYh$EOvNP4)%rN4_B%HA=){_CejK%1(j%Z8yU2A-y!}2 zsu|jSKd`O_1#i{vd)vBpE{8@rJXovW$vxoZCMR+lW|bu5wTvsVqbxX+cVbV8|EMkY zK(e4`y@RW-Dk|nc@tdVV3yM!HH<9W1Gv6u(Bzq`U5LaG0)bczfN!pOC<{*BkzV*59cO_NF0DN`H@tKFV&+F@;<9Nd%a8EtW<9fDAhx86HW~r zutmbIg_Abq#-;`H)!`XkyanHz{Z!J!;d?2(|6SgPo(^}|Bfgis zhVLdhv)s~9fmreAxG&y`E>R}GLY}(JKh!gr_!TN9<`len-~)hC7V~ zw@UFM_4NY&$|?7`@FC;C{*N~ZJ_+ROY9!{{+@^Y5en7l3S3Gkpp%wg9Wv?aUip+&1 z?z~R?9g~DR`+jJL5YJ9k)d?%2{sCv$8D(7i-3*&&y^;~BZl6UHOm&IuS9w2Gy~k4y zOeMq0=zEWEQ24{eOueZUz+&&z3c5w=5j+=ZMq21w-iW(fyJihB z-V`j%gzJV3Gie86g;Ie1p)1e7UWLkr*`s4zRi6%E*(x}L zp5LN9@6ac;#=l;isA4|d!bBETan2#Ry(-@wotNe{n#~X4@*&|!9nV+dUDjDwVnJ{J zzEk>2PyqKLSdoxE9*~hR9oMi63S|FS*yh5|09}106>nj)k(#p?y{2OE6YkSeBdn2kc)e zuyaDxIasslnq)@6pbw}4|{kB^Lz z_Wgm#Ee{e$naPa!9xG0GN>)RNqvJ3e#))*T975ca<&F5B0Olfg>`()xw>+fi@fB0C&s*hk(w7OTNgt6esxklY?sWnS`F3>ykQf=d}MoR)NPXdFh zO@%EH-y>}H2lc|&0+l4lYSAA2Hq-|^f~PU9!JAE#N#abQc;B(=V>ppDW7yIOza;>y zJzdC-1y9o9wnxOPe-GXp>RY;f>#T-Vhi6Lg`m)znvFlgA#O`NJeC(YNLY+ptI9pktI>@I$HBToYt^5%_*Qq|Ypzm{;e9mwG z+-JNGcsv~ws!;|wFFCB)je)~6dYT=T(dB7@ve1KCcojV?H?}8>!;s0C-xG^a8M4?E`;DIX*m6!n zIk@*g9Y3P3K-UB>DBO1KKdW)jY-u)CcvelIcZP#-+&Im}oy7k*iw$j8 zZcyc;<2+1>rVj}XPRv1fo{c10DWvphUH&C}0}giC9!q4T@NFR$KoAwmWeJi3oR`Sm#xObf zP8X^rZH}X?b(u!f%YGtLaDP5ifXWqfod;B>Wg7mAgwJyH%J4XPUFbZ~drGJdaq3Re zAo!d1&q3GosX6$~?Eh^JUiroUWe&9Py#hI@dANXhxO%uP9jWw?P)>M`GktwF@2et` zxgotuIqj#*q|8iC3aRmK&Uev(z;AL^^qof)^xBb_iKAB{_ZfzNim7RksaZ1V6jL*Y z(4${HHOJ4563(w%N{7s6o=eToeY5)JXAy4{j35hY@nLjk!N^}9x8|qZevouUDj-7& zOm4Qo#9m(3#v!AHMT#mTtnil|t3FSAUc)DnDLOnPl(oT{o*W$)`YM9Ni6?#Zf&AV< z)F^9Sro!cxP+8awW{SwU(hhb&LNza-vXmx!fsJ&OLj1bCM#p+NrU)8!?o=>`$-McC zd-z+Nn(BvD1u=-^ltZaZ5*!ePx3DddJBP`nXr4Wo?*{g^b2b#VvkmEZYzk*M{!kP9 zHsb^NGBpB;-A`E4Et8nkz5~;i=KXr0F$s$&+d^bTqGpKPHHA1VqRqj@27`8yVk@C62IT6vGRv*cD-nyI<%s59_cJwJfTS`H zj+EnWGZ{)DYwIj+V=z`q-kRxYD+YUv_CsBW!oIIE$GRk5LMnyr=2wYQPxZ*^{pKG- z^vPI28yV>|EZr18a0uWol?PXgN>C-jSQS_@#T!l+#!;2u^;2+w$Vp4rDN(GJs#L1g z?Pegjk-)hvI7kB5SV1CptjjvE|HvyuD_UKxTv+LBwfoEX%Dia)Oghz7ZX7Ew`?nSr ziN6tg1$jMOWC#4&LGy=@KHBr;2dhvVT?8VHgkDjIVywcW<_cb07?t-U6K%ZaFb12H zmwlmyxAVdHvx(em&tQ-Gx|EAL`P^jpxm1X$a$=ReVqS@}12O`evCNEmW7$L1`A1J($J4Y7xTB{pZx;;X#5w)Kf9xsXHhjx z>}0Ys`Z&lYdh=b%tXv{zb|-RQrqggkgA=(w9aR&!^YG#fJ zP7t4mWaV*8hg6PzOKSSwD{NODK}a0>tcXPD;-25f>cHY+h8`nlnGPn6X8-KR3VH*^ zt3n4!$TTEWp9i9jCU*8tC0-Lez4CJ7`lbSJ^qYf3PnnG<|IAS4EN7spBtB?X&CN|E zM=y(xxJ>MWNjO~gsTS6O70-H+&-kL>`b>hqN`BM2EFK4<{&em(2hlWciBH1Dv3hEi zuXLhC{c2uOv)DUeF63dANAqpwAhz0)Q<=;|%bt#zv>f0pso_`c%oOo_l_YkO%+p!7vmPOB432Nn^AoTZf=?$znr02i!$ypQw>*Dm&G3%@L<@_$s4=JJ z2-?)Qc}8G?w3;K?WQ#GH8-~Zn`^&aepG89C(2zF!5G65-W4(g03b`+v#fAk6p((am zYAPy94)m2i0YkNDTNAmRW7K(m4>lPqZ9%MMWvPA_fqd>;DvKE%uw1T2;@{OkoM5ms zBz~*o}h3mAiF2+}Sr0 zHDxwQVE%gSHw+#>rFc&Gh-1ZQy0mPBzwk|u{Z#@Z&Z>D)@uarkJ8*yY*`&Hw_aKhp z=3bQe?Y48N&fymm^+ckntc6dZRqu{p*+ai{BEs3<^wPy?;UnqGhBXf5Hnr3Zf!?z4 z5qs#Qr_*Vnusfb}=yjQ!N)Dw?^U)oEtfdeyd`l#6_?@GnQwcMRcPV}{t^7k$H* z?a@5(Nil!R*%-S4aK~Ibn*G`R!u3256F{rE`S6S{4|R`e%1?KC56_4?kX~9cI0e!J znITKRc}m|Zmk$Aq@lMjQD$o42oW(Ai`FDOT0aQ$^V8!|D$NZMfXku$=VPz0EzyU4$ zw?D9O9>+9D?l9ZlM6z_7r&hM=+U2=sAldNEs$n4l;x{oZ&2A;)LOypZEePdfRV4=9 zw7xEwnpHWj`HVL5c2dtr1Io#Bv4@M+_*gUkyw!7if3;1|^wBlC&@~m}ceYSuhXef1 zka^|ICr)IFv2$BZF6rW)t6~QIgd??xUQ~V|;C+OA=p=tYO;1wMpJ%#~-z!ny zlevoBPXQl>Wp%f5@l?82e-po?bPn!9dUXA#rNwU`2>Z0aV~|}3>j`gzWx?T%-sA8T zb_9z(sPxbaZ$8w;_d?^$zdx5qOe9`1KglpCk30>eJ;E0A7$21zN8)Q!rGvolM>{|A zlpP@1>H$P)pI}H*i~z3NT=9ZjnM?U06N>mzjy1!oNwJ7A7phCA^nWG|r>L_ulf#4x z%!D;T-bSmpml;`|mqomv;J!Gbvp5kzl2QRUd|IM=qu1aSQAT7oMuFQ~?3 z8**{-_Z8@DEw}e3wiC{i#Dxc^5vV3OAAs6At1)n}%rk9kkogOGJPn#BdUvn9P{pNe znQvNm=ywLZ1302RwwCz>ok;EI^f_@4R&6?;KdDjLqg~>z(vbA{Q!02%|DY;r z_rJ%T{Y9$}D8?AZdHcUB!|=XpOOC@x^*K=4E?IpnBP~C8Z6|_}J&MMLj59a&(y!jw zwQP6)PLo4Gw*{AT7>X@+i{CghFPb&0yliLn0?!LW_^S526QXuZu#CUiA#xVGpG@ZBE*liJz;C3b1-V^l|yf193_S7X5e5+x@4{2nXr?n1AHS+ zh{POu*<9EINZ(4261o22Vlt8ee7;L?N^29F>(r&l>6A@vxc3gN{yQ{KoQO#*bu=Gi z&4(!?2=Nd7)$aI%g;wx$?;{C?bT}biP@c*UC${CT;x`a1(Q)Mh^m+-#(ZSQ&($5P- zzmfI=3u(ifN4&)Sn3x*P1nE8WxzQ0mGI-rJyz@qv?j_6`lH}HO%<}Efiq3#gg!`6l zmp`M$K+Mdhd&)K&<-zvfvlOlIad?*zSj*EmSmjXIf`vS0V$AZg7!oW|wTek7)=)6| zf*o~*7)5TR^fO4Nb_ypq+I;rUv@KYOw!f{~mJ{YWtbCe+?;yd>UqlZi&lC>h6hH1Hzh3gZT58#& z7LiTG3JJV^C~ccIe2O1Jg+wgk;ifjAhn>HJ(^yJ`GE7w@gYN_}5aP_n9-Ml(=iJYXCF$*qEb3~%)`uY zJ}PjmLUS(^+b3)Vw$b6%n(1eV(JvZJMln;zUI=AC&2*$ea z9p>gc1yhOtQai*_X1qh}Qt-C0Tbb)DDCi3yBRU*<$n5voSqu0|hqCBU@khxnT_;@v zvQ?L=N+;jg*CkJ~OFY!AE{(1VPhWUkpFX+c_&y=g1dBVEqo(u$(HHt)lk-}l>x!J_ zlyHIIRzL$Q0BaTgi6s)C!MXz)|K?ar0qXviE^O)}wAl3;`5*f`RKiE>9Er6)L6FKb(#X+gb~wCB2Xq6{;1w$-U$ z(W(CkG|r~8uLIx5W9#LY(SmzdFbtuJp z>Xo&i@e!(yXxvjTzz^t(a>P6}x}eMa;f`aX4bNb=#jyw|-;XE*R+OM_HLH7VVzgJj z-~0$fB>~5-7gqhce)YTLF^w@G82W*BKyI;TM3{~63W0HP!u(?=gMofK-E8G_OOk|j zzh=K&C*~JLp3;@hkR~`~oB8JBG-ve2J=$|a2@?T@mNwcEoCJ2#o*Rzka!&Kx&Y@e& zJ_%^PPGb4QF_08Lr=#(~jXTRek))MJDNEYHmmm{x7tWG}a`hP%a5^e2hlMrW7}T=| z3e4e4_-Ysnf^;i)|FZYffHuVsuB-=}syLnTPk8sb0)uh1*E0ho7ltsB!jWZ`xB zQy?2ZJ^pnuyxhL^7}@UUB;zIx*TcAENT)i@_%`MlXp`%|P>MiEPgq}il`kH)_scl+<@ILiA)7aV^ zn_%Dht*sBS-=&0|;8GWoA*&BJBSTj%Ysk)eSw&@j`g;nqJGHuBa?zH?Od(OY_Xpf? zN)wKl3y-0X5SFDzuEQ&HhHCeRtV`!8?f%=WOGlY@|4r($WV&|$0l2P;QI=h9D$-bU$gc<6qrs%*lynxv_GfbWoKB zW-pV{>B-VKzwWe3lQ+S*CJTr+TYwSIGihx$mk3mhYn(Q0a9f=?jjZ}P`e4HMm6JbpZNWitrHx<}#RSZ;c*J@)XG*EBNUQr0$d?zdFIS(e`-j|D`rr|%cMi#ycz1fT z(oia43rq=H?60aGROdGHv)ioRlC6Uf5@j?i@zu7O_p2s}1L1SoY4FixRbuo?zY2T( z>mm)-Km3L`Rt_D&*An?(hUMQP9=x}=OfT$+483b`)H7WVADAA&)w+p-sPISmn-3#b z7GLvAuy4^TXFK@ewf|7eZ{K-BJ6qw9cNXr%PT{U0(aWa$!?Ed+xsn^6(&a=+@UQ>< z@6^9@{ms2J+hjG{M6*tby+A~XLndtwbob4=k{m0fWtL{0(rlhTZ02E3ZIvd318u<> zrrHu)ghFF(-n#GS`@e^QL6*nfaVTcr*}rjaZ^v52?miftLPTw2WKr3fHibi>9x*P!{m4_GP8u?#Hu7Mn4#E3kOeyk`!~e= z4j7qMXdPl~JR*lgADukF_e^+DH@*yF-OxwvlcKs3Y0F(3;70=Uz;p%Sq{Gq_k|^Uj;L}Z&d8yz@cu0Pc{z9_NH*}{KNV~j+r!LbCmV=NBQAlYOu?*ewGii8-Ops$(FJ-{yH7v& z5;#0>!|Kb-!lm>`Vof%MrlVfluh>honPyb>ZJJrVAIE9EY_+M?y{TqysJQ`Du42)b z-Cz=Aq>aaros{b`HE0;A8G>&lQl(*!-+NpWA`0ev=8EH+2&>1d_xr;y)18pWhXO{A z9$8QkD1>Ki_ctHIi>*y3!@-#W0|`HoQ=5Gy)17dN7zBlzoY*12Nrm2#I+kou7BT2_c31;>D|EnP{9CBCH+hD4j~wYJmk@Cu0xvHNps}G= zKrd{^>@}Q{YD6M9a4MYV~lCR`*ZqsxsQ67;!vT-*b~(qW)7dQ2#E{fGUQ-|Yn=t5;?g7YoO)zV zPW+BQ;l(LO)x=r>oFikn1Sl8Pel*MEm*_6$UsNUelmvS8 z5BW`k*=s)}r%ThbmsfIfEzsuVY>NcNmQY`$VeWM;p-=9)k z`a=T-eUbSNK*FF$pY%G##Gmw{Z^+RF^8GBcvRA}NA-oXlA#!#=6mP95{d#CZqbCjW zUMpG99h@e}ZW2R@7ft_qD5KlI_JP_V?;9fbDTVfH{C2RM9$ zhy>`+(KmhRumK*jNfS_sDADu%$itm_A>QV*v@Aq}3Q~+_Z#YC;oam)a^Dg18 zrT$XtA2+q%=M%6jg*B_YZPrI?d7{dCDGLj~*p^y`TX}=pNH?Og4@C6RyqX!V-6Z=Y zrDYe773iOR%tt>@J5b)}F8;`aja?t5GS*#kTS3s_Zn&*LkKBgv<~Bs@x4B}iY_F=) zb3#+}(%bSvXZ4pd6EHIC&*U{?+h%ve?bN$HPniyrM?1&eP!QiJBF+*y^W{S54}OIF z!18Y9X8z#s7Gl6bS4;|(lq;7tciSXy8fxs6oU7E_$l~+CF(v53EX0v|ncO5Jt$GTl zq+Tgm7xN-$L1&-Tm~jvt4KD_WWMBeBtH^aGrkpbJowZH?q%M%jB^vaF1JpcgkwqVCk7~U-CpN)?gYXJZ6rbqYd+uz|QT0 z-*jZtmUOS8!j!{UYucVPemtr94tG$grCVJ=bU>gW1`rKG&r&8nZU$u$hZ~ z)F)z__&s)vveJ>y9^c=L(K3E|%pzs4Tx0dPNP2vu^f>VUrjulgel9*(k-^hJNiNR*&&!htL&HM)0!E5SxQ?nGzIiZ_vAMA0*`>F%N+3nZXahwRu6)CKYA>5dV9v*T+>q$ zLVVcku*Gx3N52e>XwRtZd%T^;L;xQZKKexnqX_1&J;RrLYb?wH3QrU|Du&A47k|Ca zXP8ceoAZ)O*Y<%!B*D>pvb5)0z@0r~WJTsXMA;Jgz6;olUN)%ev)?1A`ixg7Bnq1# zIW!EK8a;WQ2CuV7uT2OP;CvCy=#oh*?54yJj_bx+S?q?op%=>Tu00|nT=lLc6N1;X zG)F19HMpP#!8y2~2Jr^C;Ei0`61jW*QsxQb!|*$-Pykw;NbO{Ik(_eVAwdaR-4q@{ ziV9Wmf_$hU4UJHu8FTZ`8@>5gOX;g+`@7;UtY&7V;c6BiTDGk^tIeCW)Rkz)m|*!q ziR9Oq&e8P`V~#^k_oX0}BIIG)1Y#BasYmOVG8`fE1oi#;YpmhTpbjxoT1qVyO!E<$ zx#BI9;1KgI6+T$OJQptWPj{S91t^sXGLEZNzm!27Uok{QXp5zRLb7~B<$a(K+T#b( zALy&mJ?RAhta0Xe8UwZu;=_8<)8*F1ZQ2Lq-P=M=ZtAFLh0IMjo)+33zeHAl-e@&t z2-zOl5j<*VQu`)1@~FavR#QfU3c;TJ zz&JvwU&U@w^UqFDNdoeD@RTfwYz;*|s|@tAI|~$UXeXqxr9FHgd>dH zZ&hW)90v;9SuHQ8Wod_%YL&-HD+PrK&FnSuS#&}*GeRrCccB30H&5m9g-G@lJm7oZ zkncsa!=vP3hF2a&vd`nkTos05CZ{ylD0TmwwjOdLVcy5?Y0Eg9hiS?aG?_o{9uYi5 za~)D2>)tThC#(Y?8L<&nbfRJjuST+ifDJr6KZk;XhXt7#pPJ``rHkJ%dIjlT#q0;7 zXXQY)d5zDobC2GhMoP%K%UNQt{d1_3BGfDy%i^^OiR7=CP8~YWkK=A8C z6bib+vFzaKW!r;@p^NNlOXYOA zUYyFVf0;LwQJoSPqa4 zbRh2NSJbx=?5ZiAp{yoOK~Y&W9X2px`67fJ%`3}yW&09CrUvsTdpMDM(E<4UNJeM1 zq%XU`y4lK2awF2;K7VmY-)w}YK_>$K(739|XfyXa{ko!8?*r2%MdO%3V8Sq)t~#qc zk+gELkB4Svv9Mz>MezEnRDUg+vSWBDH80mhYx9s6`N#;~n?@uFkM_fs;zTk%$GCy% zIo3T1Fp{35X<0GpIpSYSrsm*RrRK;>rsf!#OwDncMUe$bZ1-sMKJLRmc8HIAAFXhrtUr-^_#=o_=bNQs!D@C5qd_K_@Hz)6H6du3%x66L5W@%mtQ1|o7453U(yG{ z{_{YI!x7VPu3#{b2vmxYc&HKvJjfU0KNO+FP8dzgP$(oG`&Yt2#Q&k1mD~Z+th8sf zCbS_~#}qqZnnIk@X-7U$R&zsUK!6T^MF%|+fR~}0$-%>`uIbp0?Q?t zieRN~d{$Lj5FFDt2a_*F`W&5dsq$GwAoIRn_?cYmJCEshW^jj@);FHuFjSln4vbEKUY{<3!B>2MJ+rncY8Nme$sn;&=MVq!on!BgUNSqC2{ zf!Mo6GM?b2<;X5>==ED^mcw;{UOM%=ya@)(PruC&nEx}(O_<_YRFEZI?liv#?PF|? zRau`~XnpQm{DfA?SN1^)SYMgJv-o0n9ahSDAWW5gRwU?WMZiw1bH+Fdn6qh)Zs%|< z^5q}Vi7aXC{J!#^Hzdpdo2cpLa3Q@)rvjHGTM_rx_WH~v{(h{MQR zvcyx$F%>hqM2_9Ai@r1j=CXTgraNW?HBZSDhgic|T8%D0n6~*S)&$85{SX#~Z>+q= zUwTpSN<5+7G9L!PFeHSrk?C*6exeq{`xfzoiP4YyMd_5cLLYlnj1%BO=Hq#0ozY?) zeJxdmh*_dX#!sZj@k$!Pz2M^*uBi$6RCGSBH@mfa#oDw_(mes$uNGdzBdc9$^uJW2 zOta~rQ8n}%C?I|EM}luTiMI99EkdLmBN_Ed;>XKwM>~Mu5ek>tB~va=sRW{zr<)Jo z&*v=EARF{qkYId1!gPQ1>U03v393G?0YpBFJC8_Rn;^*^1X=K&5+ODQ6<02knJ${A2V!(XmzZsO;S-16dAhokf z9#A{$HtS=9tdC{#W9_Uv`o0sdl$}-OtA9_clhhW{;Mb!S$Xm9V?e)psvXMgOKfxgE zmOpbHe3YH?EEjYxG)3($DgQ{S{12u4-zZP9Myr@s_f0m`aXYK-Xlog?#4XmRrVE;-jvuYZeOPMh(|Ws9LBXA#bYV3Qs8fJ~j| z&_Dcy5Z9xQ*}P+aRYjH_()>eDHd1gL|e`DBCMK|f~3pS z%(r01MA_t{`G!g4HGy(pPKdBMc~&CN1s}L+Byq zT&&{6Iy4=}SM6yGzwlq(ZQg~PTeocQN9tuqtB2`@`_MsQY=Pf{dHb$D;_f8EN!CU2 z2{YfN5Y}XojK4xJ5Pwqmamf9%e#I@^Lekzs2+SN|$X#&YvTUR_SuDmD2%o{oBgg{! z%j>V-^z(=JC35G}BoV%a9>~FQF!Y8vG?w925xkH`y?Xc_3~a|FYo1QcvTJ9Ce)FS8 zink90@LS2LlAU)GQ~nCk!v0z6*QQ0Fa49XM6xXfUF=o<2AVe+-AHf7vQ`ZFLI%Wf0bWDw?t4G9J-!U z%x1oa-4n}uu{=TnlJVk~Vm_so`JlcVTmEAt#ZpI@(9jYK!SiAc!N$Tzhpw0bL;H{F zi;0s2RaKW?Lwh35D)NVKaZXmNfR`M#bONRMZ zHOxQh_|VA^{Slv2n*EvCK(okERz~!k_=D05XY_Kr`Tnygl&!hFj=5E5MeZ$MFs)nl z;@qpCo@91OgN_OI50bXp*)wc4%@+mCkMslemWjDR>vc)~{s%jV$aP zx)I)=?ASNu%)eeY46EZ?f+NE?a}P6Ta5?!j(ltu1tpw^UK5`j-N(|87m>J*cQM?h{BYopVqQ24%H$x{N8?yiHX-&HOL<4Xi^hpb1XHXIxNL9qT87~vmO$6sTO4^3rq4s+E zlxS*Q2fkd(xktGoJj6Kiq8X1#VOE9mqYPCLM3Zgit2snZ1j0!j2vU#WaT!aJ?VkoZ z>ubFu)w*^5Qr2QC#b)B5Hw~ptKXf{H;N(69o~ip3e5USGD`njegwPAvBML&X4p0y( zMTS@)nyniah$f#UVHEmO!KgVkb!zmVwPy2e3^Te;^cI$u#mM-Y9loqXl++Vo8bXtm zIMQ7AM};eM_g@Y48l7f=EV|Kcy*$86VK7chsv(evi7wVOZc#{}|9fJ-&K|l{X4FH5 z2fgg|5K`^-_(gi8RGK|c)N`~HXT{Aw2ok#|#};~%$?rTYi`yNP!`u8G#p3N2k(vCM z;F=S7Tv_Q2IvtH()@!z}fJRJ8`hwT#(Wh)gJJtyWf>vZ@5eiGm?_$N(Tq1iXJg=9T znRi;vt=YW@vmzI_&vDvpLx!}?$s%s(1xgc)r|dF>VC`6B%;}=7&^p9sPzLwI4kY0f zF<3C)ZArOOXS|I5vSerbh_L9hszXA6LHz8H0|`CE-aSI<@PV>pp^s(cllz-Ko_137 zoW*wt8C7I_QhV6uve}lMW9D&Uz5rZ{V`?`hu$HcfP6dTHUu8Mw;B{G?h|bG2cl@43 zGxix7UoK>+nNnBT!BrQb6Zq&VqTZBF-xo}epJ_hC+Q4J%ljAufx-u(1!pL};3gISq zB%@Vo;sn&ZUfc@IE?Q)b8}UxT5#~2E1OAqPpDH|97SZw@O%S;fm2~fGNNm4KUhC2; znVlmi1KMCcN893h8A!&U%b zjV$aA4kefTxb^>LJH)frljNR+(`Ix2erd_IBg5 z*mo%xh;FnX@0fs4fxj#fT;4N>s1)h(JOzV3`l=ofR2`6x_!4^*@D;}*MmXH*j{s`3ldXRF0g0pAj-$5@ytYPY&6SYjs7RU z6&pFWj}l~yf`lnv1Y)tWV_mOk-;}RjKff(70)Q+l8$T0FRehTUAQxVFJb*|X8b?o$ zx0hkg0Zw`g62VK%e_w9F$=L(oWb7&6M653NGYb}w1*ojx&Y*yCo6ff)q3)vdScYb-Ym=hyY=vH>tTcS@EPmjE!IOhcPaUV^{_%7 zGIc6O0%t^3|2zz))JI3u5YJUr=Q?@vuJt6(dIHCkz1Mm&$a=DnCz{pvzrkEg!y=w! zSWn)OC+ceh&gbZK&R2+{PRnIrqbh?E08X3u^P;b@meyJ;p&a`UT@}LN?}G7Z!g$sE zwV>4K+!8L)3?-tW41{{oxl2vNxx6sCC`m4^HP&4b>mFTj)PzZ*qlTMX^Ago*LznAf z>$*a&&z9?`v50FLpJ6rdsC9RKvT?b4&77EQ96;r6xOMjsck(HR+#1H?+?ub1)b&$x z-C+59PN^>;z=p-q$GwrfT(1|hCw3A9L+m%hhZCVZG`GW( zx^7Y2{$8;q|B4sObKN*J;MGI&iY#s618JeRQ4C{wAnwMbKp`OrUpiepVC!#XPE^ZU z)uoZEu04ikzan-e52Y{W4pv9`v&W|L$h}~I7GV+kQNSZ|!y=*=FD7>1Qn=OIK89#3 z-mFJ_E-%Ttplqb~`!Qg(ng8{@V+rH$vMq2i28H>Y#>%WiKa(v%OgxlRM(5aF*ufQW z+T5Jaq5FAStIHsudULQI7`4 zg;T-0gLIpJn&iJVKl~((r$b6P0ESr3&M$F z6(~0m@NufXfrSKpRXSSHrpW=Va4Lv&K24~w&8-A{42}yJ(HiNKvD;&8Pvri#6WhyP z8YEbI6B0m*;KZgMtSyy~!2@}#B~5r9xR;r+C9Q`M6dUC(y?DF%-Faeqz+4;5wZU9R zZ%Jm2^jxp(#*K^~C61I5Ws2@|jm%Q4X zE!;&fbKzvI&DmPm92!b~wII$vn4@hvxvl4hNZu`+*-vW5PcZtgY^hDjrR4mZ5xES8 zF?5malQHJE@92~9Tv(MztYe+ls)Ipx(A)mnUU{$rM+eM{kS!^Ztz5Iy2hvhM^(F`&{Vb>=reJm7W;D%kk0h@mU9IR-?{&k`Qgd@h$uYdg&i))3I+0@N z115ihCXzW~$q#!w`C+SF#E(`MUJ~R{0&KiW1PqUg>!1B+U8tAMB%YLyU_e9a)Oo~- z<^#>MO0MrJ(V{&}@Jlv#rp;U59-1g(PIgm;x!5NPG_C$qUb7SxliEWwwGAJiX6%^M zsmKpDxf@HVOQN-~`iTvRm*{3o@C>;n9z;uUqFjB!RcL~zZBSZ#^w5Lxmi1`}sf@Ns z&Bz#?o`#umyQkrdLv1!&Cd%_Ae9F_4>DKE1ORkI+4k4$Tq`0W?+`-}UQ=`?@@Iz$D z`Z85)j#DV_^SLf-Uw#^y!fWFVQc|rxlc(zv9H6mXJR(=I zxOAF7Udt&2F6dNh2p&Y_0kPFXS>~0n>Ns@DsoDJT1d&L#a%rVJm8lXUtAZ+5A_t^K za7S5taCErW9-6=IzzZ+gN}0USV3~rL=&L0gT1D;QW90Wh>e0iAWGQ{)kEmV|25lUD zfFq(sN3s)I9b`p9rYn%@UyRdR^>11XfnVY!k^QO90bv!Aff=4d`sFQb#d(^x#yzQe zr`1iSxV^jV=-Ry&8xMWI1p1z{a52EHkl9VGN-G0WRiA^gp7vi#-otQ_x-PNeb+d<{ zE%y@4!PrX7X^&wVM>f(pSrF_&+^W+sphGS_!W`B&NORXWnadsVBDJvba}Hs_%F6$s zndCc81e0fW^z0qGrS@$GQ&Zc_UpE}0+~EE)*Rg@Jwn;6)Z>sDg!TBohW6(E4RHMO* zXULf&cWkuanKNu4xZpWuEx}RdcNeE7*}PJ|Ki7dua-xz|#m6Y$hWK!0x*E^2VtQpL zEdbTr*7@xw)m)xvL5jqF@dqg z2X6%CunH{h30ID=MXIy#!miL z#KIuuYSs&hUVk_^(#Y6w`5+si@+P&_HLc8~Ir#u{=nkHyZMc2J82&hN!gI46+J+CZ zs_ld4=5Uc+ogptrQ_e+B7%s=ghpMbc>iM`N93T-EpcYV&DD5YyB+qBKNtqAoR$#$m zYLE~_vuAq+-9TU|hF4G!ct+BTGzPj#dYbjn%Hogew%oOhjMRvCw| zF4<i88qim2+ zA8;|j3c7PPXo~Po-EF?}ZRTK<_z(>T2Dl;-a3^5}-1#8oh&0ul%Ap8dK){`ZqB2si zl5R)@+@X$;AE_7YMtlYKLHXc1m1&+uludAz3b=EQ;alr9I>~1-im*;{0-@bEd@Hyr zFno9N<1%kyEE0_8d}SeBKFVAKMpOPu@&c0fx*SZdRZO08%k*08u8HdeIU+IK1-QKE z92WVEF31|?mjs1Hh908sn!krU09qu$N}v2l#YVGy1NtacYhIgZi%cj?nb#;^0jWSX zhda^U604b+O_)D|D8Ry=sLJBniyGyTmUyAE}EhlZXH?@zOGLn6Zz(?CUYD$gudqxoO1cHcf}3flVva(x9z zAd<)pY=+3Z;r9y3i6&0^aF5ZdPCd7$XH!~mTJpoHNo~Vt6CyYKULsD@fdL;Vze&E3 z$o*oI1NgJrDb_0qGdN?fyI(9J)I*ktCE69uK=~HF-(hA~VqG1BNFf?;BKNUYWvg*T zBKJ-88UwHo!RmVDD4J_j&23e(!NVfuU}>{DYi{0Ia!ghJom759tN#hDnI77;qFBWY z?!AqnC&RtzAwpH}aK{JB$>-qGX%LM3Rr9I1d_%hYHLJ_KN)uuPQU@Q`m-zol>ADO7 zrD6vOgV@cMyrq9&Bxda>W#-a@<5A$&03<3uNl@eN$M8l7tYYQBDZ#i&EmQuOp#eeV zG`avo*-hFxzJ$9W^q4@7W^U|Jwe`wO9|i#qGT*+4y`+kntcKpy=zB~?-{9R@dO~MJ z_>go>R^7 zr7R0QW$9oXAaYRx3Z8WA4-)QADL? zPWuqh*da21)!pQJq}G9SiXDhx1w}N`PY?uHrMiTiS$&q;#G@uCK#CsVAP@(QRL*n3 zm5|Gqi2!xRzVnYIUV4{iqK*lkbql!o5h$v#g=7$wCQkA?mO^&G?cqJojLfu|n?4of z7(C~$jOgk_+#bClt!&?#O&0og3;ITKE@mwV0VF;Fj%W5Be`VdFbyTizTKU?H_xM6J z(GkE;b?p^jpo(T+C-M9MJLEo@FSK#e25+jO|5GYgMFN5Sgc?(PaPcm@z!pxH?9Jx1 zh2WXi*dRbon3=ZXCdeT8O^-H@97Xug;(m|}xA!!*TESoYjc+;i=(V^Qe%Y2*6whtU z#I7R)R)&0_MJiB~C(%IzYu_gYy@q2JCz%Aq_81q0oHdtB)qd7QsJ3}{0daB^{eRrO z4R}=5wfH^B%s?Os6BINm$Y_E_5sd{k7_2im(Gwfm*sC?PsJW%mSZzxsk=XJPoKP9Z zwDcBl?Y;W1f7{#I-d=0(Z58k<2?7B>_^>J#t3g{m<7kW80)CPAx7I#q=FDV*_TKwG z&-=W2p2<09f3Cgu+H0@9_S$O`u;S9CSCL{76VgTKQqy>*>b<3;>)qP+{oPwT&avu0 zY(M{&i-xK>yqyj?H)MC6U)z3a{Lu9Fsp+H44cU_<=xBmEj!66Eiuj?&Z}HEb)&AE* zy{j=vJ^xHb_0WZZ^zn_T-t`jar3la+7;W}8_FRtn`F8tP_h7!9AXkWbu~L-Vyvz{o?b za{RutDKU4otghPaw%NKaX^lQA(^GtK%Iql}qd64V=1Ye(z5So0h^-blMBnphm}JQ< zb19{S6=%<9%DKi?<%DP=z)>bn{Mq-_3p5*}8{{Hw)V(ts*NZ&MjO1&q>hCzQan; zny@-VC3}X*a$Dj9#SQ58aa6XYJtqIomVY%-jCZ*8EV%y*ASrp91#Du$cTuCzLTJ^K z6|7~x&p(npPLec(F1SHnSmkMIzVGH+G9BS$x?M7TfqxmR-W68WZd{)*qPYN)8#>K3 zkSvl}MBu*&w6$cKFhN}Kp zPxYt<|Db&?ePMqC^u8TBZ6I;Q+Mbp4T33AVkoe=V`qJU5zQh%`)3J5QjRfsF@cXF$ zxx{5_qANd`iC7=H=~yJ`8NFLp)rnwDWr!-eJXgNs8q%h<$&L9G6zXy^x+O!{@f=i@P$xD0IQs}N|)$fu|J^gyD>T&#H zN1xssE!{aMap`SqqeI)Ih+y)vHR*L6NP!<75&u%pT3^(^J<1C49VuylEYY#1A^BP? z@v!J)x2*aS|G||H?|cjhx3y3H|G2fXx=NkNfBc}I9qNvOfWy&>DhOCH_swn1^(vXoI`Oe&WF= z_(!qQuTAwELpPtK-?vF_d)AKwzLe-ZqG*$&#CD7RK9<}O>xn4EU6^dT%}`uS2yl)P zVDXHteW~N2}*XH0OT0fMBkQ-tk z>XEZP4l+*oc_Cz^{)`;yw50w1kJXAPIB6V{*Mb|J7Cd6CHh;^^WUpnW-r_rv=GvEC zA{bI6vzn<}_aw_$aX5()v+uxO_5*q*e&XaqLw&X%MubSn|A=%33?6mQNfg20!%Jr9 zqF$n6Lj%c!q5E&WsedEZp7;Oerj0zs{&bQew*Lttdb74s{x2r@{=dAPV9TN zIP^gG`d%_wJ>R=;gFKXi`VVIzD|<2N#2I~=azgSsca1aprm2OA5)dm z`*P4m4q~e5y+h#Q?s3M}Imug(4Hh>fUydbibEvXCvMz@rdzXykz`9c7zu(2#s$4_lf6S(g&Ut^sF(Ob4~sllpK;2gv|u_Cv0a`y>~f>8H)OtQeHfW>;&vN-7i zk4-%R>%s)zpiVJZ|5V3I02JyjCw+X`n#G~`AOcLXVGTkGQ%KRWHL14=XsBm(dz&CO zikYeDXDf687oTd6a&LjIs+&Xq)XM}s+ezCPx?o3luiR~3+YoB_9iRda(29mjP$}+9 z=Okw)Fhe+jo(!!L1=O4qe$x{mK|{|!7CC8Cd!>VC>}g2$HHZt=M}(4-&mY)>KY+zJ z7D*m#;NF`f;y-yk!YIv}xD13;~0 zX=E;sqIDZBf&*^!8rZj)EA@oB&=D@P@Tsq_T8{JqoI2>Xu@*?Em}rOHh$k73sZjeL&~ z9k2hyi;mZXyl?~Z-#1=m1f1%OfKa@iGDaE&sS}8FXg)QG_XE!(3x4{t9$u` zkICw;xg&?wUFKzV`%`}vvJ_V5gXDF99w0=ShhcS1J!|v$93dGd_f*FpQa_Lk^#?*X zKhI0@inSRI_jU|9lS#MzT!+2QT`TtlWO&>5f6dazg1e!QIqb?hGm8IHg5QocG8&;8 zWo)gYRrrF3v3(?L(xE2__gFkJ!#OCl!GAzx3oezJv0r!?ugH-I8-{yr1Qp7&;#aTX z<;7G&*jYV0{g;7@7f0eUbGrUgaF}PQNIA@JT@Eubhr{3{PYhzS9OfHv z7)_fR6zm?J!)z|ZVGu?9hQqjg#c&znH~t+G>*X+7R}P11&fzd`x*SI98pdG^M^O$# z=~)h=#pZIDh~Y4ID2JKbrK=#9!K9VJY&Mcx#|WgOtYz&Fv!qkQ6lsrc&X5j9cS<_2 zNnBzE*B=jGxwP8Su?NSW%^l9DXJ9EYSW9h&t$dDkGi(LjMwiQ14luBFaGXn=4vsVB zCCgVn76G1UrmtTJJ8`G4ED@$&M9VA0mwJYmxXP<6ICb_?`s(>u1>byDzoIwwE@W~GN81yaezK&x5cKn#gGF0RdQpEOuFhlP<+L|8?dhnxhF7sSdSI~cb^k5fdiNIN^0*iu+`Z8riz`+7 zseZ{=Q6rT`Z#lqehh*RCGC4*P^AE&Wda|Lt#hS*oZkroJpFvRFEiGO(0sKf?(OuEp zj-Xu2$P!iVT2tqHqQ9}9YiX!@JHp-vBrN8g>QPt;{bzQJJ zaAc#{7`z!ByED4_2oB6~H9>0pnWBjiCr7DqygGg$B4W9)NQ}8?HFi0&1LG$e6>VV2 zu_6`W(#7YK`cQ0KM4R@s`xhpTM58GlzC;7#?5kzAPU5oBdhU!~G-8cOn=O2!U=4M@ zMkA?7myGxE-jw`hbr;XN(d@394bDk*7Zu3|lLMNuTP`ZzzkBX+_`2TR81MDtyispb zXZy_P%syW$1*$r^{aa}D&~0AFKxmZ_0N(1Y_=iO|G|JX2JZGJ6H&baJl0<8tjgzn^ z7e-6D1;zIk`ZYqMn;UA2qFWkHgKT{1uUSshuzmkKS|=NnVOqx)_KGvK4~E(+WuyN)(j8p& zfIENxLH=V%dXH4-)aM>VMR$n10=gz+mrf zB_;+B#Ppa2t*BlbYFUK0pU$wAuu7auLufNjQ{I}f>(O$buQzc?0FG9XkOSHBD2wjz zt>D}%ACGcmtT%22iU=xpg1&EpiU}%mg0NSXQ~`nlP7qvMf=UP~af0CO5>#O&=koKT z*c{Cns{=b`L`&j>6=z1N-i;X3H|TdFN^&B`vg~vs0yz<-ejImeNyUVVr#{N+v&)>o zA_DE#pmNBUD|fZ3cw{sC#T~WjTBMhPoJzW;X~%TIL#g`5#bNbcM*r+^!o#Otb7$Uvaj#e z;L7k6EMz2Tj246`SzX);7sZ!FeB6Ld_=dfVjT4&b#D-dNYe=72AXLC^We1_5;)Lc_ zc_hartmd>On24@>g*?eThQC6b4*?t4c z!Xs_Z+zM>#xZHkd;)yKgrTApD97oa{f&lmp)S7$H{v+s9RYz^dn>q!3uRYCq@Z6 zqs?;n6>C7Y^7VX&b1#_M-mzzmZFf=oM6UIsk|mY)KVRqyT8~cZW$qe-|NLw zeUw}ETwRo>L^ zD=HLFDcAC>6LhC1@FZKhjAxi{K%Kd=Uk>8@#lSAyE>#mu?W;fvVRlL66i^bYOR~|G2Hd7T+5_uv^PO!#r3~ zI-nrRCJ?}xuM+bWFkcnAy@Y8Pu$2xR_`M`7CW@-!gY@h9-f9;z084}k*uOtTY^U0% zh+D!s$3+8!&;A6$1mWCe&Y}wMU?SC+(WAWMyl+flc6IGy=P@Nau3wI={|LL-^54ml zYpax%f^su7%qp~(10Q14FTyf6?ICdE(&I_{+NYTxcBiMy z=^?ck!a5wzwxI~(aqxvf;?@coReaFiz5vk08hyr|)LjNAOdjYpkG6jo$+Y*j zS(xYwCekZB2>GvUf_4(57YGiR6W16VaD#=obG5RFxY!_~J{g%HLa&HdxOsRIywoBy zgAKt;jSP6(5BH|4%I!~QDsj=$;-Dqsphf)IwYtVs*ySb{hZ~cxWcYZ`U9gFE~khvq|>mBoX${;Ih_rE%N!~mk9Ps0u}Xz?C?FI z-}~Mg8j@ckc#nMd1m|sI^EeT_+kAb&eBHqp#_3NGzl>LQD}pyV&ujFV41Oc$$ReS#bedrF}PfT}$pSl9{E2Xo2N!rl(QDNKnf-qFI&FXuX()9);GzxmHP`oct;7TED zU2y3;UwL`nP79d0EQnKs__WIfO9|&6O03MKOh88JM!?R$k_q?Hv1#ZgIpbi2GAPve zg2qlbbG}j!C|Su_O)~D^if)jr%dBfrN>m^PBE^#^t!Y~GqOPqRT_q?a& z!k*+b5PTpN>-p3WH=DgX8u`JV;%DQsU+)k=-Wn|9DjeDcPr*2*niGxiomlbpHxB)cK@OKap(IBv@9 zxmnX8ZdKg@;!HU!|*t6(qmO5 zIxFn|LbZpseU+Sgn)Oii?TnsK_Ye3;c1(!%EGeo#YwPBqucNH~tereV-TP?5tn-2= zii^1`cwac{yu0}5_)_SB@*ndOOKuK5F!2Wx|3Gl91n~K7^PK!m4W8U#KFhD+3Ar~j zS6Ub}U0NN9CZCP*tP>6xV@TET3)@wIlj;I8$~r4TrsPw+oj21IGxb#SoF3*GdSLRA zJnTEZD=37b(_;<|wU0^Odix7!jK&oRFF)Z0*!G<;%IEJ(ob~!9hDy-pfArc-v!njU zt{ve2_G{RWK&td_j;hIYBDjqdH1;a8QF-}1^PG6Oc}~8BCzUtp5DK!0;K8NlVt5;lhVJN_u{9d+^V_1AA*Q+K0zVI&gGjoF6epQOcd~~( zS4$xESf>a~{w73|Pf1Dk&$PDSz+*V@DBmUj8zynp;xevD?_GL5eCTVuEI&s>#CI}N zk1^7_Hp0Z?HPX9kV}0M!J)~aoY<=JIpydC=wR1~m`{xF(-8tKTneUoyigHBFarNb2 zpsGmd&Mjc<7xm>==+_-v()-Yk{EJ98fEq?qE0%Ef$)Cux1IO8o40O5gvKd@q(#sfp zo--%O_w1W`#Nv4J)1wa!MQ*Xq1Kq-mQj&j2&Y@xy5 z-{9|y`Q@I=sDDS!Woy@7TD@pAtSmZhN7TQ|e`$4RtRCG<&zyHdpXnF>iesb6TmN-X z$hkz`?%_?$?}8XYcbo!hr($^VZhDF)ZAf-!n$)dLiut>%yJ+yW<^a)bKG(?Sz-<4m zI{dHMD&4@xT?C`V?>H%z2oCf!O3F9O|FhQdUl%|9tPRQ@eK(np*pA4|sveLs2ry`kWj2}=a8 zmj7p6F7Z9Xl(Dt7+U=e*^o~gP9=9B0VXz@W130hV2up3*j82Q|WUw2SK%FrEIL}C_ zR_0C{xvm3gszKy7SDH$nV~3c9X~r>J*U@6G>u@7gx0`mdm3gy?0RAOzPr%8)QJ^99 zi3R)lRF7$f$h-Cf_sFiXIEsXucOtyDGGUP`%pQc^d%e|eI>WTlYqOX{CHDpjm3Qq| zu^$#ceDY*Z9{oFfEt_5|AuE183?8D(zv_q;C&B zPyug3jW%sZ2Y$YKi&6b|ypG;=y1JReByEVb)~xE!h$Gyxxx$C+3XuUDmiD*C0Y9Q75y6bU?daYq9LDl;xFcl+sYmkp}#SCwBR4p(A~0`w2@j*ZV%wO z0L3ro8TW-AILGR_s(2w*r;M4g>_fI#AwAt-PdU-&yXIiUIJoCBYhk>8T6=lu0sq3d zU5iFy%n}azZ7fc|M#Q-tD^!y#c`=<^H zC4(>XNR)TV|I5N0guJ$Qw!fc)#-u3cUXk`AlEEW+vdo64d#~L+8{N<2z=$cq+#01Y zD>)9bvM0txx#*J6X#EO#NbGMnNxVyfukmG{_^6CMe2bNrQ9pXiSaN`a3}2>AP05R} zur9YW{BzJHcf1muydrF$_KsjXc}0zVg!5KwSLmBCf;JgDS8>Ok&Txo6Zcj8!qbD32 zcRgp$eQG*}gQdTQ=Zd{@cXcfxY>(lxf9#n-Tv{iB$3KizqnFhr&iZU6P|BI5MDV~v zhEIp>)J@V?9c5MzG6Wm=)DMh<}>dt!$L zrkI_CE&o>gJ=R!I2)i5V*7{o%kp2%@n}h-GtF_c_c6n;-HU&W3+HX(G)=0C|g{B1d z#;t`1tx)X6g|p5vCWSJN|N0)M1@z>p=o9q}pmXj%!rFloP|@{a+Mw6mKd*;gxuocl zu-(!tJ}rRf95Li}ZnHuSgJGO-N_~=UI~srcF?peK8o^Hx%5%_j+fqq$ahAM3h;R)vIcpJx?+V zz9S3|+$u>1`*s37YTze~9FMtrGfGp;)ysaB>HZ2r*p|}^4pXxJJXZG1CfbvkCLP_; zi)=flehz1pg8;A2#q4b_w_g`?`!!)!;*M%dN=^K-I-<|tRM+YAq3T+mO^Ju9YvkGU z&7rxWUma@lzbkSWI9a%GVQ5M>;L6n2i09U6n;H+m+gpk(JjI1>mMM2`{f9Sne5z;W z>5WMoT^?$zKd|J~&=emo-4ZWedD{aW-`B%>%+-$#O?+*QoDZ@>pLwa#Ps*Vio}ZiC z%;kxV80%FxPJ78ypWZ-Fb|kx^t6|@tEov0L{yO(9Qs0ubh9EirsbGdye;bPB4!9@i z_J^Jb^O0&AqBC};F-v^$;+~n)yx=^`Q5XfMMZsBq2G=`c5!qD#=l1GMd$B-**zkb! zbm;!EtBa$nOXNHPHFo?dTb6+ClvQTRsx=LoTmP5#sdJN0&YiYBG^I=MM|&u;Y=p5Y|L*Lx!_f$9(4ke|-_x9Shb`GimdiT9=0JsGm<|F*bhP2;pbTlIgwVM-o6rsIC} z9l=lgp7d0bHP*j53>=fJ(@Dk=5(}5~(;kO@*;`ZMSvsw${>{Y`*_wWW4fJ0s(I5sX zJ%NZ&{Qn?WG$qq1KTiS{PlPK$UkO8BZc+*f#bs&Ul>9KYn>pA@nn7hHok7N)vJSeW z8H5n14mRPt6*36nyLXi%udaNonNQtmK%0Iv%s8 zanR!F_}(IG+D;N6E7z&!kuu`{_Z~P1n~iufF-LY`nZtd9uw!;bg!73OzCmEF!B77} zxR>|_DX|uGwCXXN%Q%#2qd{A>e>u*k7=&Bxi;lqva5Gm^EiF#&!}O<9RweAf`D4jN zxC`l`{W0i1`524V0{%jtKo{GzKyQ}$qE1=(XYUpLhjcP$KC1dKTqeTWun)T8FT@Tj zNM16XL?OHbF7bG)ZT&RBHmeJ}l1pnRxb`e#Xi7)FkWJ`t2 zWvdWlwjl(>WQ}d0)itc{2mrTz5?K+Oy8lgtA{GG=aVuih5F#NHQi~?xnWp5`a-yOJ zuEPW*YX!S@29?V75;*-Q^9F%Ew(9lv&n6odN#Lmj*6#~__fv;2ndLrr9icgDXfviF zyIEGt)yAP!HW*HoN%rJZ%00&S)Ac$1v~&23<_!Cm`p5WDvjv4|bWLPa~{G zBEt6h|7sf6aWcM$vi??nH=QAZd%%~{(*ze8M5LecBpbBF-KS{Ra0d=iT9xw^u=$=JD1%IGF#;4We-f|aUXE^|-@X0v_4r?6J* zuI?5563_xv5!fU_vK56gi2$}(o+aQu0{E(xBZK!ydT9agcbV|8{dJfQBNiJdmZ=o( zj95|Fuy5lYyGDpZu99u5Ew_olgl+oTK9sp}wFPl?isnr9WqQW4r|thbXVmqsZqcf8 zAo^&zO?KH7#D6XbUv@ITGonfEFJE>JmvEoY^EG}PQC@a{pM;MlJY;_sfeEy4e^9P& zn$=R)!6mcHUeW{TTb#`egz5Cz_A*Y0(5GB7n-}dKTpt#}VB+99$Gqvx%Z|3Mv*h4< zXw_=)1HAyJ{Y;~&T{Cz5@cs1hj4oCM+Jy+jG&WiOe@a;k(5LLu*HgLdkp}-5lSY3SB> zDovM1yWTHiG!W6soy$Aw;B{JdR7$mg3IcJQ|>3>iz0GiwDjJ>X9`+OW5zv2zZuh;(0Cl3uJ zTEbn+4r(B$xCp#a1F`34l*;xg=Wyw_RxA_UvDlWexngNxobQAY0ayUd*oEd(Y-j9? zm|8gEC*tcM0mb&&I!&dmX?A1$116?J04V3SL)~KDF21PV41GtuUURTkxAg5>Pjs1d zM;Wd@H(yv=lvsXR`kD=bQJKEpLAZ$}53UmffEZF#y^Sb}xIkPiL`z=#qB?zPKbjNC z(`+hO@jI?Jmz;8~Tsj=7TVB^bKE8Zru%lE;-*Vw;|9PIXwSYQ%i75cGl=+7;>*DTOm?oRiAq(IdTCf)}v^!kj}0@+6~=@%|YJ{ z+M2kF|%GS@Id)eHZ zdFp`fR$EUG%Kg#@c34&Yo?MjIQEp-VLMbi5cV+}(kHQ~Y7KT=!y^WvuV?Qh)v?_(@ zxG+?+o8KTlLY|(v&g`rEQe_!9vn4aVr>Rx5??06^i>N^WV zm%q6%bjGI8x6jbfJrf@w&D){*Q_l}e{xijTK0 z{Q8La6s3c$$rq5GXL+eU=l%Ze(7bK@`lXfNWAc$2-cr6tVVy^qrWug9*EFm}(!ap> za^o6t|nsmGWUuafgIe$Viu)~|zd$f#u_i+|7h zp9~XAG{gL0g+5z$03u*qN%a*|%S*BvjAw)_e30kGn%CcY_)&fhcHi{J%3`OJ}X|Q$cg_knc^WQ+O+tYnF~YjO@EwNsOE2}w_uwK*K`~Y6y+z8 z40Y&L0B)blA;+}k>SH9f#>6&A>?DajHLD-6>Vxl2!l&rbybQ|AQ&wqkw5j!Ly$jcP zU<^%(F>Ge^ZrZze$IQp}zPp^a_a~>xwCTN9-`Vu;p6S1m_jk{j{xhDT?kLo}Y3EfV$}Pn;^Hy_GJX%o8I1HZHR_y)%E?V||OEZUQ_7W3Vy}(Zk~_5 zy!GF+G<@Po4h?Tgw>(4C`e3uBZRy|iZl<5tQ1QeT4WA!um1nwT$ENqM+(!7+RtK<7 zQ}bJ!-f7uNojV_UIra0YGZe_w&!=B3vFUj`H|?4CGS6N5{`9=pH|=Tp)22Q1Uj@mN zFVqs|ZzODxbmc!ijy!wjO}$s1ugnYT_bc-ze@DLGZ+VO#sA<{gfmE>is6?mdPkcb0 zI~VVoxhb`0;<57aZcYEDo$pQmq_p5Yh*8czDt&aEPD{%F`B;X3L=LJs1DV(xMKo2uTLiv?MkwWSxd45>Gug$=VlKdPgR8&lxNokxof*58mA#|P6LzOOc>su%{*Tl%U8XUj35`-;=Y%h$fygYxC))@;5G&fXVV z^%rPAdS3ulVek6UyiXfQKJ)a;(OY&;dnQ`7Gkr?KEpr0VX&h84WN{|4n$i3(H4US6g zEZxC2VdJ#N8kv`$YpQ>8@g%7}dg}As8agKsx__fQM@17yr2Mqnd&VV(WbYgATRdAb zpl%O$Q83SHF;ErtyU5@5mv&cPf2<-UnmFnJ66`KjFg$6`1dC||XLLc^Y+U#tiixrc zjo5eI`%o4(5%6=ITB;LpSF;%{IWI;lDtz!u`Ml8vaZ9Yawy1zpcJ!O#hru!W)1 zgU3Q_izmoiC2u#3ecK96AK>4qYSXOpRs>bn#vilgvIkl8kX$%CAN7M+T+By}&{O`} zF+pgE^U^eZ15J+%P5jM`Y$zpyJ>*is`?ig$<&UUMovgu<<=@b_cRyS*YG~qbJ4r5! z@I1NSX#C=>yHN)noSPg-zKzkbl}w>Uko{ds7@BwuRV8;L%zR~N;#Zf*j@qb>tB4)% zDgQDp--w9ib%2YsSHsp3O1*r@-*b|N5kkFR5;!z`8|DHJY){V9k=`62iAQx3zp60)8V3wKv%R7Uj?aW33=+(=K2_>kUCb zklXETq(ERk6X}nAYSEj?maj^!;=h2GT0BIHI)nwds@&}O@etI}({}68tK`PMgHv$- z!Wkq~Q!&)On6P+EN}V-Vv$|~0_zp74kCkuS4lv^Nm{tb6ZW9h7+DzP^J}ep;u32hI z{+lRkaP1UJG>9B+B`#yFe09mHq2(1U|3$y~ezoD8XeMvbTgs|4C8@I2 zl$6Ha>pHapW*C!l2f^P4ZUr@=xxzm;pRCAqw#1U+m}1qN0heP?4~M1V^EOS(=$YMxd%AaG&&soUNcY2+Wz22y0Siji9p-vD5evRV){t?T3x)$c5JqRXr)CZ{g3cFJT{gz^(@&J zWA9&7)5b_$46LLZzC&i+Ii38d_@$1{`ea9msIq=q3D#)XtXV0vO}J}8U(J=pSfYxv z5!qywf3-BULJKxSuY{HEBT^2h_-CDMN}BJMbY@4;{tO>D7k&XYuZy$PE_s83e5nCp z{YD?-?D;ZIb9JT>J9M_{Oz#oGU}Y-nIZUcWXL=VwMrR68*r9i;wUetTT|=z!XZu*A zC^bgav?jB)k!z>JEHg|ug#EedhVK7Ma0K1Z)oVSvAuBQWKDfa;*{1bdiLudN7co5V zQ^n68Hyy(F_eZFVzHnLrmC=P7Sgnd(=4(~$ehYKfSM*%cj9#w0;N)08dc~pMuGuBN zj<;pbOa_a&TxY#6BD@tYmd3xm4BS#FY()F016%}FuaKNrTo$O z-U>|M&^ijgkt$0Xsy0*o&g3>=nJTP-D#c!Ry$Bu(RFuu17-xa{IW2>pMN$?;tAJC| zJ%U(5ve1UtkF474Bzx4?O6gTw#IJ7{ZDsbb(Uy+T%58EU2W#olXVb-{&qi0i9O)u; z{PjrtxS2lX<+{fN1vR5s(K+-x)EPVq3*i? zKv222g0n)H8**%^^jRbp0l7E14aAMD4k)l1wX?d|jpEErb&(VEeCdl*eKa`~!v?Z< zs=(M@Rlm9YxG4WB7*P>*T-D5eZ(NyVBFd(s+E`%OG zUf->JMVb;%N7|2DnbwXgjlW;8-^`xpaCM-{p-l^-vl%Uztv4liaW*M3p&|4@3)W-3 zm5u&haY=K0vbn6Oe%JM5lU9j;TT}hc>&J<)eZ04(q5kpfUp7Nf%aVV}b42P3izv}^ zUfCa*Kj6|c=@i)eiE>w{cs<^3-vm<@jvq=!sxeGIu!F--;yzB~n_3xa>UVhE+|P>* zcTvaj)`ClBW1GJ6+~x+(9ffA}t}kUAEu3|6WoT_Lhmte8$DZItXcAPCDcav()IN4Y zC6(LX=AUfQn?Wr52y>HBcBi&+xW*QhtI@T^WhY6_r#B=kBUDaWc2#>&F%SD?iU=2;!c3jj(tr@@`6Fmc0E=>L-OQtIs2@p$868cqw#NJje|HY z=ZnN<RwH1NQ>`6~wq<(CC|?hj2g9pZYhD zA3yKAw*-B~p`LsB2;I-5f^+VHxyjvqdrKPQuk6Fo8a2S37lyvpN9k{e77h5MxM&FH z1)=A5YjuluqL%x5|I>qRFkUTpRqgJW9(s6N=yKG5U+-`9KfY=gCtS8Ra<7LZ<8-Mh z;(3bM!O(nKJU~`$92%(FLAGpqrYa$UjnTS_xy)|SF6*Qo^u!Y zB8$tL7HpmCA89(2@7YwkfCg?>0i^x@D!?g z&d61tJaW|x9tK9Tu_jTHTl*8}XUD?;G6PFdDp!@L=^s)J=(>^`eUXZ2cQ)KJJ zf+%kns6GaZN;Z}ljs?FKcGg&CK0BSy3i<5TraB=LOvq{)pJ8$`o#Zn)504%;U!q^0 zcu7j+adZ{-WPG;?xV3px_61B5b;Jt*H1#F0eFVGC1^iuk;=8VlH*!sxe1g%nm| z3KQApBMQ^$`ePN=tc59S(Unmyf-{ndi1i*^=67NRSgVuXsH^G7BkdHY+(yAd4sXS?LL@8E2f@`D~2!cSI_~05WStKZIFdPY^)5W|;MI=Z^ zvs;Vo4{%hfgk&X<2MG>uiQwCXyym@Rl)f|Qom%Up6Y6}SZV|jTjMZ55iT2n3!eW>D zY9zkKCx&u-Y?gwg^{D%r?cV{GY>b5V`cbeE zX<59p%*PG7=jTDoRox1GNTEjyCrz@_V=Q*UENalqSV%K4Qtyb$GgB7YYN2HD#^lsh zK3nL9!m@PL0hTN@6dhJ^F%s&4TNL=}t^!;%04|$a#<0U!<66INm z|MvP|Qo;2BRHW+zH8s|LED_@U-(4T%RGnEL46mAyk=6$V=F`tzj=`($`y_)s-^vV~ zF2%R8#MK^^adIDlE-N0ZtEbfa67-N-@cNcx1WKnTBa>zso8IMPbsd#@)+8F>;p?c9 z-7nchg7y?t3;x%(B>?e>jaBOBJSb5UFLg^SqeKazMA=7e;4m+jl_FDNMrE;&D(&#Lsh@caS-oR%ngHe1137O2v)Fq!~u zlV})B<0NhC7V3~j#H!n}ubtV~=Dc2#s|aafi?bN4lrBOFaQo*uqGjr8al53FwQiP{ zTOER8me4BAr?b9c8B-C_RU^wu05adQ!TjA&(D%*a_HUUy3w+i!y@t-3WIk)GV;R_) zU?9$}_P0;qe}L8c?CM~93I9j6SEVB^hhpCg2}CB*>I$rm0!0QT=_zi4(IX_#15~)a!lkYb(-vVQ&(@bZj))|Lqe@Bc4Oe77sws(=F5$xz(4f#6R zDiN1vl`KC)0zeXDU(iCO^P{ycl$4{*a2rsQo_@IGZmYA&UHqOJk+q{t9MrbR#mjig zH}aT<)R4qTURIVCGpvwNAAdusO&d}Ianxls1wtGmP^l8+D^yaK2vny_k{*eq1QHq= zm=&mAakd8QLU(voE_!ch#? z!Lo1^8J=MJ4rMFCUU~_Hy{zMrVK38$iX~w)_-*zr9|Ja;Q#We@!zhvPWDew~mm4WZ z+##reCs=Lv8kzpVDf1`ekr5hkM=0@)ZNidTa#@n*B}XJ-aqpl(hkmZcvPdapP{5P~ zvfzS!DdJ#X6&xyOCe2}AAH}b90OT{9*}2RH*{;T6HcwG?YO*jJ@X;y~56?DV$Jlim z<2M->`BscoeO>Bp(j!KM2^S|wyeYoIye*>0@UmJB8-Vy0FtkK&Y88rWrC$R5=qS$! z3|v2U-K$dVPo<29TrLOt7^95iR_S3;lq`~v8v9?4_p|c=?O!eFb+J@K1S`GM1QG%Z zLt;tE;S3lI&Cjw?E1-x~XfKo#*fu-~o6E3pPm;9EDRFT@dYJj5PC7Y~$KqcBGO%em zqZmD$VBLbE6}OKOT^Q?PHzkmHlyojyq@J4Sx+#*vte%?f6sso*Z&7?D8&6~DPyjKS zH5oZgyU9V0AXpf`wSZ$wnSSb{`QrmPZW8=CNg|mfZPJxalJs4QoQ(EF^_|1`1B?yW zz`Q$lgGY^V*nS;_1$#@JFBx`=h6ZFDYx+EdE;7{E<{;D|<2Dzecsx?HwJ{>|sEKY+ z8W!0obqeXIC_FTEVZq9rt^sO=V(bJZhv~uOy@U#)KkptUk=AXqf zm+{oEh)eHkPfC$BrV|z!HL!f?7=qk2u9gm3wDd&xE8aWSbaV~8$2$_Pc2Y=(E?TY# zGi51siRfu=yn|40ZwlIhPsTuBZZ{L*PFcih@3v%TD`!2PC&UYyj5OraIz8_td0qH3 zI)Kioa8w1%Su!Rn+%6Q(M|5S;(n$hVjyAj%=|tLE2`i9(OkY_b3A%PpmM-87Qmm*> z5FrynUr4jO-<2KXDdV6Dq9&c{?oNY)%uo> zmPgQS({Tc2c7G$;*a{=8OS=l6^2y9D`r!lMMs9)vBKlwavKP!u@#SWS;bbf z{nXKN3Xr{%=O{USO8S?Q!^74+Ido%Szp< zKSDnz*bs42330f7F1HyG`(ziW;R+<}kKD~+#a4FZlMjmWCBzifCk@!?Lq;PKNwAEQ zo~)C-CI!q;U2dJZ@-l4RnO2y_5&fAcJuW|`D!1# zZWIYp*YXeIX>)i~tLb=|W|VlEWcs*N9D<5;^1+dQ6eRR&X4U}`=pfltRA&#x=#AlV zTi{L9$65f|*jOL|nIm@ph?yfFl{sv$8ZmP?n;A^B$z1CdP-3a6d~ONpp5IeoG}Hee1yf5~o*mV9Ur$-AoDzZ?UhN=pFE1*KnEX zBQ+U8R;GNfk`WGLwc0-j8NnYdE+VRT;MciAD@3j8O9f)UeruF77OgFjunT+b7VcDa z+QIv2o_Fzm;@eQdKlS=$|1D^0WIY(I^MwDw6CN>D#yc4`V+BW2p4nB$2B$OP4gF-! zvKL?*Rr>nohjLPDe4u1lw8%8UFSyYRiE7NcoHkl@_6c*`_9d-|eI#E-M4v24>cDmw zZJWF|>-%cXU=3UTn*HlxOg-E2E>0u5@H55bb-yaSvZ@rs!fL2jR4F=MUl42qe59WPoQ@HR~k_T`JlZl^SYffXl3F1}6^uWgS8ER-$)En}DRLq}E<3E;F)G;sGEL z8>Q(xZtWoP1i)Da$jkROd5h1QiCYbuL*bx~HS^1*{u@$|GP2#9~yU5PzOH zuQaXHO|u(Y9H=wWw04pR+@2&}X`0^hO4Eg8Gm%sB=nv5I!OfEgbHL5WgIOR1bs`U{ z5SpcPS0>7$6)4XPTZpb@5e1tqGWfYVL6?#~6V@sYq_z3Kx zpgcG{ha(UElKV51Q2riy@W+q4^59p=E(pmCZbvB3+pm?Dh&-q?laU7%DEd9G84>$v z7pTmzbGyUzf6gSX9nzeY2O}=~c0jpK_@Pc)9(|H_qTx8<73UhB=#b`cyju3cGR3Rz zc$wJ-Ra*Lp^u1D!Q@1vbRZK1-N0KLLc8)x$tw6r)b+#mxA0as!!!?Ixrf7!dJFI*u zx7jf)J@TcXKOWNCe8^u;Q4*LbN9oEsu~I(FyqlF<-2tHd$V2~`P4JCZF($K{;I0tB)5x{F)JPL~)_#JgZXHlj9*N08 zW>$P>cFG7xRZI%|gAdKNwX>~_m~%R*QVaMeV)0B19XM{`G=uISU(OK}5&Ty!tq#kO z@4yjFUXmD@B?*KY_O%}=#K?MvaS!stsS<$#UAB}4x=1)vL=&!`kZO8_lTKksVjhma zDQQg4#3f6BSYvKHXuyq#REC6FoW>jfrJ`S#73^_Sie*J!oW7R=tABWa88_KazTmdIqTV(fiCbpeF4Z!ZHxz-VkgB7-nx=RIpx0;Rj=D!)VX*u?Z=NM#2w7d6xWv^=NJ$v6CQt)a)p~@Wg z5~16xK@?aWzHF6KaGCXu@`YA=Eq*Gq>zfJMA8-i!))MaoCRzv6NSvx4seP;9bW|e^=6pazDW) zoo0x4A`fTRE17LWfR%K~M%kkBKI4(yFz8dY0R>-o=Iv)(9np6RR_0 zv?W(&$WvW%`G?o-n3WN&qZX=jDq%9N{`juvp*V#q4_uI^8TO&46#yGFZEmfrp-n@)mmK_RWg z>=wm+fjW(>7%PexCY6JLVe*ov{ZcSMM<4;G8u`*nm0qRM#DpcCXTv*#DrZ7(HF(n5 zTyZp7ag^3Q2QPxqfC_R(uiH%<)2C!{aPvWQLbroTxACn)bZ8@r>m1KemfNWR#rD7g zl%Dh3vtWewd@3LLx$RLsSF>rye(*+G8 z@5`dW);ETys5lWxjjW!1b^%a$VmT=oO(BH zp(Vo*;xMzgH2q`aq-A8B$eitI`4}0+0xjEzSYGBvHqwWzc`~uXFk^>3IZl5K1E__M5uYhzRkPBpb239RXa2erYbN*vwjk z4N*&aRHq$ft^6~9D|7YO8_7h7xJv=bo5_<$+#fL80#b`J#+m7J#`qsZGRPa_Vd1+) z%jH%sxqF1^LN_W~7oXt1wkyyn^K$vH zz+RNGxfvxmGp(x8^iI?AVbl^yL0;9u zMS;OXDH$d60%HXT0INVt@9L9=13=ZPA-(H0%_W9K!xK?NLHJM}QWHL+uGAgYeDMEU zxd13)CKQpdFR3dUu1^Ig!}VV)-?&GHv}1fCTodwh40D_nt?T~64IN}h#7a0v*dbLi zWaI)jjcXIvB89Ei8YGRm@58Mik6io9A=iBCL^1YRM}AkDx|2i{*-H?xiagPJTtUR&|tnP48VkOEJ z=)oj$>C$`^DqE;iI`~RA!*~`$fSZ?AOO$X(!6YE$)@mmt^MW$dj0yIANU7>g*Wl69 zAf@+6UKMWE3?RV8VouO0E0g+I8@-dI4V?} zLRp&+!cWc;5c*3G148J#4*+Z-FnUJF<^e{=s!N9Pbu;PnqK?nyftSM%q$R;W|H;D- zghP1wfnyV!-vM>`P1{OsYf`UaMxIxnc8$uoq3#Fsn&z_7|0J70GW!*U?xyIkJt9g!~CzCRji_#a)?poXz|tN}J)h&g?( zn{0Fe4w6lFWO}@zq90K&mSvP{W;Ul)&9 z>@OOnmv@gU+y#c&p6j9eD}!qoB^fC4*^SQBLb+QaqIIKl|BjN+K3vJo!Y{ogbKzt` zI1CG0^;2rkz%8Tu;2(yK?mxVk8QpDpqr2Y|1p&4}eKDvn=BPxFFGLLM0VX7^F!29r(n>S0|22LFWw&x-6o1Q2T*!~gY=n?^DI0CB=*C1yc#ZpHcrX^!S ztAu%E8ZR{Y>hr@|^0+zz*7?3OuO-rMr;(ksM5d+@NI{gOjuFo=QW*QDYSs`=Wk`v_ zjn3~2q&_#oBq%(fB(&-~`LLfl9QIHaz@>Sx|CQ7Z>`Q@t=|{l+IJMeniNpoIh2d6KE4#*mcBHnywNH-rKA6?!WN|+yIV2KTlv^M0JU-9njc(I z?0fXeV&9yrihYw?i+vyPyO3K@PWw`^@7w%7{7Uxc#<^jGp7>u}UF`ef!eZZR{C@rA zVqZ<0$#?HH#lE+BZ>603_`O5fSuwx8+Wu+i+X?6!~qIoByXROXwo^hd;=N&%37qu-Q6Yt`vM`d-xv5s3RlqzJ%55W z(X23IBY>tg$m|}x6;II_jS~t3v%=IRzSF#LUKv7Ak`RvIq!^RIMQYw*fGZAl>k)(D z6P_t9Vu~BFI@DM>=yCyJ=|~G$_KXxeLQG~+IuCX4mBG*dPB2lSdN*(TJ+1pz;YFsP zerfRv4@u}*!9FceMnr1P$Qe5euc@>CCRtP;{2+_mKe417v6f~@ygi#(rj|@%ncJ*nLRQD|*(-B;@H97(J1AKk za^%Y$&4K=$F)6EBH-l%R#^Dv?vg2dCchb+V-jgmRywxRW(xFRcS3(_OoiT6&UZxyc z_e2H1VOrT;-9_efcA=h019D9yg}E<;h?JBmFuS}ngYqK=9VL}VcPR@It)Psfi}e$- z@6>9H40a`-?yO!S0~bQc&`_$1rE~@YB6B*$gB208GU+^!!oG``b~NJ{Yk{L(yk?iw zt!5I93ofltg9*%PWRUCmu=#rKMht;mY&lH8F5xOVsdB|2jT^3(1-kF;=B_x+=fE*x5Kc_1}D?`+tB4Kj=rEDi>nFk}S5zAUL zVq~a@-C11|o8{KrYqp9;u?e=<46~C{Y8Qm&#l}|9yK-X+d`Q{$O;5Q*IjmqadIEhn zc;?V^SinlJgr!$HGoU-Yvg`us70#?U@}7v3F1Y!lvtw>1w>13iXWfR&Zcx@X0~I0~ zkdA`o(3EUP+*x=r=`is^J-dP`bL>D&&q6Oc>x)0|k)bbC;OT`6ob43&zIXN*hK@o7 z{^6P75Yl9(P=)Xpe|Lem7AO#6jyVO+J4}INxENsgLO=Zng%B!b&CsX_>v%cp9hPFf&=JMXig%@M}s>~%(pPha;j zb1llrb#{hu9dPz{7H3$FYN5R>$6eP>5bO;AsZgy5Vd|~HS?PZItHr+m;P)!O_}7Yk z|M>M{-@owNhR>e^{HniE?E5Ca_172sezUmP_XfXEN3m}PzpMG(&+p%EDE4jTcRrr( z*YMlR?-M{ap5@R^o^gKX^1g`QPx)n6vDvo*{$hq(6R;ibIp4-t&iOVN^WiK8PBPJ$ zs$m@=J0m_;!L6+Eq_@@b6WO&bCsu5iHTHFqkVlTPw6ZDmqT~=)GqV2k?trr>Rc|BW zC#<#Oq>-Z4F1kbP6ux(uLPT#=3rw}e%g>a``3#E%XREByYoRU(U-!%3PzE-Wq%(c( zvPPfDbzKD^!)pNwL|9rOu+7n+YF*ps*eXdc6|&c&rphfe06g#-&c5a!jkprfJSRCs z{U9efo*-v>jsR2P5q=T#IJi&q*^!!Ct7B~I*WlhW5QxnN564VL;T3Ce$qM^lfnsmN)^-JnY*`q|P%F$>8yaS4YXC3F#? zkxaw;E;Q&+6=^2)-wA~(XS<^&A`D$xkyGMCE}cQfi%o#wgXOSXR0F0VkE5YFfW$gFWrdlY{HTul5!vg1x7;3I1Xa4y5 z2QIOmP- zcphwzT)3(|9lP;N4fby5JVcJB({$1>{K$Frzz<+6KpnB4eB7}iclm~6pLd~-D0A|V z0~s=`GxnM|1LMoncnBX(m~Ffi+)lyDp}oeH%AaAz9#-erRvyMw5TQ!>n{!_M!TXS> z1a{AP^)ZG;2h{z2+&G|jXf)T}T%A0@3&e;CS_g36+@?FmnO~6giV62j;-t!9mS>R) z9C>`92##bTR{Fw|szfg`{v{S=IOZWnr-T=EoFZM>=5RSCOZz{~&gvq~<}$aZWHf{B zwj6XjCc<^XW2&LnHbF?My$EfYK+deRL!LCx(C?R_TPI?*jCuQ2=LmD1{lYF|_}eB7 zB3}hBJ&#K(VpiNhdFJ3kmgr5t>#3fsEv>=?*f(*e37Q*@P-u#S@ zRnj8Z$Vi(5KsG_)!a~H9ZFrfgNOU8*ZPtXM<)0`V8z^EsK@FzO8c;?&jrpvV2#iht z^I__&)H=^IrGj(8fUt8a>szkA(P@ht9O!dvaf)wF1h%FBo&K#Z>QFbxw4#DEk|Pln z%_P@*tXc)i+&<;}*?=Z{K}vl{r3&9t5f+8E#=y!{SlmRc6kw)IZI#t&KZGqA zO>CB!yGSmbPkV{E+r(T-w>NWN0gp??&`sAlH)d-pUe39c>Pv+{WYN(q@{QCh_nwv8g%eC^_Lt}S(rLPK4`;(Dcf>Jrg17g_o(4xU#BJn5)IdO4>4DGVDVC?a$c z@tozVv(rzQ6IX2VMFl#OgA;T4$y;e@t^JUboH>aDTAtD*y3W4S6YVWc?8kB{C;4j8 z_1o8GbF5U;ILeH9_^+HO12$&@taU{Yw{r*Vqjr8c16xb3qhM3=mdI?+d&Kh|%e*^v7zoi| z1n+)O^@fqobf**up;cyZqmVcudX%ydVw&wAZ_CmVBSc2Vf(Us9Rc7LeB_^mRhTMoP zu|DJv1AHx`Kv8cg7;USDJ}DE{oC!0ttu&@=5L z(4*N4Ho(QqVbG+IfoSO*efJWLn_oNH{b=(hTjc#{@qV=G$CfT(&hqDc-fF(gr?sU^ z=s^B7n(r?Ca=w+dW!adK9D9&v-KoY5JDtHgGb_Qu`Y^?TS%gVl5qDm4Ru?zYr>x9W zzZF*fmfVgaoINcnm=?ztjYXSipjwD~QsPtvBi_3}1PcI$fM}P%m-u@6uP0a+Kt1jm zC1bF7J3Z;)M>?6V3GqG!RP;<4|*288In%{uy57Pk77L1JMpKUAH z0QKoe13D{w?K(S!tz>hBK;B|M_RxnzYw}qesS4SStI@K5n-$G!9+ko`p1pUpC3HqwTfqq_L(5K~q4w{Xl zA#5tu7dKR9_?_Z+7?9%HU!mk#BhbpiL!MHO z$00de0XYs!ULy%@;P9XlO|!N^4z;V4yHyGxx>e*}VH7E&o|5Iomqawc0fD%htzq6& zErGbaQr-wp^t89uv=;=J_TrgL{3x|w0&vDHfe`_8WOR&Iq_(RMTPZj_MY^w5F@m^O zVc)pKFlE?u`h|hS{}*zWeHM#CRQ*3r3V8+)2Yhvzl>Hy*LxAmb<)Ki)3#Pk`QKrxY7vS zaQI)72ul9>uSQU-v2W!KX9L#@in+n!bdt2nN^_Z_*c9mGGo4XG3Rdk@6i#n5xm*NJ zmxR=kt+Fy(WmTriV|X*HYuIjxvme4h%RBxmR+wRsqXe4ayN(9z5yAoAouOS;=1}Eb zl1n?G9h?a7+`UC<@rEg)j|vO5=v)@Dzy5$Y$#AFduL$s&iAY>BwB)fCr*8@|J~mDr zsjG=Pb!#acsu@t^*st~Ka@BG0X53b0r=TpcW%zj>LTF8e(bQFBG{FHU16fB#fY9w-Cbk2Yhv3z6zzj{~zBVjR0x(q_%<_KJ{DAbV}35-bK7`VkD%9nMIiK8vLP!eQ2 zsU<`j2BLBB;B6Oy1@YY`Sr%Cd^1&+P_F3(^McJD;B3dXMRONj7l=N<|IPEqL_9?e4RoqkTPZ+CDQ6*Y?{7V#*C=B zS+8Ym_65yLCYgb0lt4?wxQ+p6i~t#_J4upSMIOpCNipDhT=a@nKs$Usp=-abtIA~Q*q^fkU)fs^4MUf>ZaB5eurk5GV zai(6!tmE|y>=gONBRUz2vzJ=1Hj`QSK1gk*hzw#*n7ZBBL715>$Z=-hEVVILo~91U zEqBb*8DeIShMu+uKsnfxh2s)+P;Gf*4O&To3Dnqiij`BG>N4pf>Nyp+Uuvn?jQLeW z$`uFp^8*#q#7t7-WYwEgKq%9sWfgEc>@P9vX-P{@1%GjmtoS+BeHXxaUakz@qcM^) zr%h6CcXgMhcKjq{>C0Mx=Y;=|hRtE&3OC&?TLkT_FlAwbaq0}fDOl&XWEo?^tQ z78tNfsq9%xeL2%~Achqk!DR?zdnTArisMPx! zml8uw)YTQ0I<#@Ag81UTL`)1mHT1_*25cF)69@_cTYRu@BDTlDPDX5azX)daIC?k) zUIU|tvkwX*wu(qF`2JTUVl(%0%5Xz0G@NspB1G#A;}Hs*F(A8oUX46(u>MB04Oxl_ zg^_@7ZYplCy&P{#mgPXoTSLfv(D5BNv^&%)oMVsWuv)1Eb^FTNh7q9hH!pMVM!5~=~e+`}*@2G+?&_a`+gw-Dt} z+H7J10hlLdE2ilGbGX1j;gfa>A{qq@a2m}ENaqtX+n$!LsS3bF*0ml{30e_WQkPHe zgvIE3N^&(7Z(vFm3UhHaVzqrbWavocq!3BiNnzhFOzX9l?cprZRBVUd$+4zX^^1EM zk51Xrqu+2%cy?69-RrH}#4c9Oj@t8=nzhgyaI!!r&tK-CXgTalgz8bJIqHQ*a^|*r zEGlzb1CN>D6#NrggY8(!3{ni%;4<^}+CfC(=m{2)|dN0NlPF-@%()W;N zBSE&nMrWUw@dr9g%Y-j{2Ho0Q>sZRuK)7m#P_*2Bcqm*+zxltO+ipQ+1P5b5#}_Jf zU0YDh3I}>o4)ay=bD`b{j2Pp-6l9#28$`rqxZyx}b0H|y0VR24TH|K@1nHKrbksGg z?4)Z>Fj=gaEwf%=#nEBa&^Of13uVMQ?;FSaUGBoIPD9c+b5DH{eRZ}cRU($%%heN_ zQ1v>byI4sW9cGI-%Zm0;gOyuy;Bs&$FSmqJ+2q~jBGKwoS(QL#tKS7MkwyiQMb-Kn zw=_t)Wn5@2(2oj+ye&SwCq1J#DC?RPS0vBKD#uIl+nbCd%wBa^Y$hfK0#kZf7fH`{^R+$+EafpgNv4|2FyOsdf}vo^{tY8#C+2O& zWHbx@00(t!^*dzTUZB=>)0l6&4^pW<*U?b_9yQ53segBEbSDnJgu+v4Ac(hO3Y|6v zo2sGN&RJK`;Gn>+fX+U%bn0$!o0Hz}5 z`e2Wl_Mot>C7p{pEUYu!4Lz2tFB?QnVC-JD&s>D}(YPH?8)?SG`(z z^JF8gC7D4wlWBFz`oP}*rm|ksxL~1r1%d{LGe>$?Z>a0&F95SlCwnm@k?818i|3+~ zB~Yk>IxxrRk5hZIZCHFTs%>BkFEPnGX$wzW=Gwx2yQ(W`pz0B0ttU3!opXtU`jz%j zXts0K6TPZV)(j+%Cc_S_fyo?iNHMAv?_!-gyTq4GT_=N6%r)y=WiMNT`31dlhP5kU zFr#QDa*`VwW3~o^lsT<K*S1pjW31 zrgEZPXEk@CIqO8RZjz91tiM=sCYjT~fMVoMq4*~NKh+Ae>uw*A+jA$?3Jp|$Ugh0p zjUu8Nrr8?^|* z0(s$H;Tt%$6|V_`vi$C9AhadfhC(Y;aZwV59C{w_!`|(=LY`nZ7Wac*R-GZv-$L6(G zs%s5KJ0WOBdqYTeRq>p?Vy*usS`TqbynaGGO>9*?-<7liNt1(kvDn9nUHYoefHMua z@`y=xT0d1yKe`w-%?{~?pYbk(5R!z!*ZZ7*-308IP(W)^we#E&9lIXv3u&qF?Fk$U z*WMc<<^0Ve)Pv>P&aJDuH=wW}*uy;Fc?yAHnuR4WQIWXsYXYgb@9SOH;%qaH9-i>I z*3==N$JymCw5Go3e9rx1YwAxoH~w7mElvOZmvEN)%dM$*e-(FreI0jt!6;7uHtr6? z$Cf=0IHFbW=vUp=CoW8MvrYKU*>7oZ-Rq=eN^qyH^Ew2GAjiaYUSE?HllZiLqy26p zk8MPGD?pt^GSZCh^Md!dzZL7!xviZfQ-6`jVpq{8}gH`I%tn`C9>l zM%;uXR91#}DCaU4-e*P#yh`@o<7J+I<{f69pE^tooW76GN^lkfGZ47OtAJ?CUI37< zUIc8&%9*NH&T~=7#EqG`J*qwfKD=ma!R$0n%b)`IL)`x^L!o?iRsuVYgGU6q*bl7F zAa-1F;A0sO!>WAk5RwT$!1i$sA@YI*>uKpVb+U_#1f8spENJ0)%)0{bcFKJG0${V9 z;;t0oFcKv41f+M{82$UAIThPXyr*)5;joU`@ybX}Zee<=qn(VMH;r98wmD$)66@+7 z3eLS3Q=MeLvr`_x8F|g3A-WAjyDYHvVRjc&N|EqNG2#700`Me9!8p<6Ue37oa-+cG zXjAoD0EWg>BR88}9933tmTt8;Ka(#kA93sHK%5f%u{ECaKPo^At7Bpp#kwk|VGUSf& z;#Nf6p&|h%qu6%41i!0QB-x&^APoUiu+`O0A9bISye{nMe+&WyZqe)SVW~!AooL7jk zHTR;`)o?x`Ru=*x$Qth>8Kumrp9hh5%ogm)!DpA-anCS5 z@5kpde13>eG*ZxCiSYs?-ROQ0vtM)s?LbU|D|qDWK)Y<@BmO5f}ry>kUdW|=`-8fuxU;T>o~7A(%$iQJHWd-8|TJ@-4< zJ@UHenAeMt)av)~k0w?QmR;_ir2c}WN7swsnDcipckdQiMF31bg-5e;ARq69n~Ys7 zf?^v!*&HxBo>eZ5PX=>8iTJV!PVTot2(XPDKvh6|C5E33##vUb33>ARjAmvebuUCNR0J(M7 ziQv9W#XUa!IJVeeZJ`h0Jm0uf{kAF6l36_trJ|tw=q|ba@2!|PSiO0`T%a@#NDkh` z77~MY-d@0sJS*iqRoxvP?1+xWTH=6NjZWMRVzRqI6MCmq^+42A`wVrl&vrt5-y!zn zV-rc@GLt+0Rd<;QwDamq*cUw6~d0Nx0;Q;M_a zTaMZc*c=O1f+Ht*tH;$-v`v&Xv+m2R3u@L>VOQW%^G4Y{Exc)7RzcnO6^)-#9P8OV z*SL%}rMo#wzRtP{%I@mX=B=mTV3Qk9Ua8gA-FPy;CGB2$^6HP0Ik!*29KG@cGdOH{ zBXlc{Xpo2Zt62JDm!9=DLsX+-3dPj%SDR@loB&c2?AQ#Kt+u({z+#Y@NJzWH}HXXB+85n{ju@ z@ESTk?0B#*cMgl_btADN;7O@HIKdRb1w39rI4Mn3RLMln=h@WXoOvH@hoX=VW(T4rW%b<8X;w zk?Rnx(-%La$#VWZx8h8|(4U%(4*hgx;N&UjhcK49yJviJiGwO-?@;jEMcR7W3t-7- z#AEbG+ix!|z8_~*bZ1V3ZlZdgvFtpJ0BBK|3>PA07kG)h2_rqeU|M=YpCCT2HYtMj zDQt>|55&#rMBoR{B3zO80aG=TT^njr=N{TItVC({$Kk=lW+PdfEgt;VWj6=02 z0bGYlRul!%_$lq%?`9lO?*j!0Gmat8Be#mI#%{G9aRcXS5#s=J(z#m1-PKo4afKKf zrw;K=6hr6`DTY4!l!}#<`lia!bJ8osfnoALt@5ml%}Lk36y8*c-aZwazoZR!myJL? zT0SKwyLL*{rb2@p$|By8LPd3Er}H)el9*@ps>t+3XJ9RU8j5O!-Zm#%u;32rlHQq9 z-0JsIv5f7ss;B0}g!h-FG9BW#*JOND)VU+QQO7=HNq~LmavyT;17r|^72F4?Oq3&Z zTWlparz{VKR`Xl;$+7rWzrr?1Iw^mRp}fyPGE$RV_yd(yp7#Zs9)mV9zT4QElnKp! zJ7Tgfdoq|V9**agb$(^6R3U2LutZu!8})5PHb)v^AEXh!(+KcA$;Vs|uU?spUc;PIYc1EAZ@-4m{gF zQyS`=`V>9c+Ha=Kq_N3UpGz^3M=S-m%X}{q5f}{VG3%i=+tax6q!jbr^N?zSp%E@4gGv01;{{jzWX%)u1w7%2;eFU_w zH+*j${6LcDYiB(1q&DhW@n?)QB9^b6@l%sKI#pfQ8KCFScIq0y%MGZ7#kRpSp?dk2 z!PA>{bp0|Vkz0AZ?F#zIFZ`QZuv2qs&QemRc)L7j?j^Db;{t)@6lqJT_BlIwDLj!f zeC_(Q=+vlv?E+@;;u#|GMkVU?dXcNwV)eC?GO>!xiV1XtRT21&Tj<#I#D#lG~CyK}b zF1s5t>&AD^d}Bt=jF`*8302t}P+$_=B^~R#arOexvjCmLOhA75%h_;Tc7@3q(9O*a zj8xnCvkyOKjkVWK#BW~3l?#F4h(q991Y7{{fd(HVRErN+zz9AadFdc8aq?Bvr~W<| zX{jG|P&wkkv*iS|5zmP++-};dlvB%hpZEpHs6GS#3AoZ&x_k84?vBib57D76PIqII z#Fq}1O%lc5+D#Gw>>{hiN(CYpeeZ%RIJz`_1+Ivs1^LiJpuGlI;9AP`rc#gi>8L!c zHY%S!y41c>CjYv0`$)Q`*i?)Pi+a;zrDVBmSS}0Ewa3Z{V@Yp&eYx(i92KM^R?gHt zue$?R09MUa?omsAWcmfeiS9&8;+V5B%y1ye!7MSK4@5B@oe{^Z^iwy%_IR*0brL?y@c9`&hrt3m z@Od1+pT|cnGXB4A{=dXZ;hAgzDJJ81syy>6cE&}fRbp3QU9OVEoqycd*qgC|A>W~m zlD*(w4jH*j=E4t9#xho0+xgc6#c2C~=NN5;Y|Fz?$J(oJF#2HA(nvcrkp`zEXCj0` zQ??yxEeW^|r2WZ=+v3Y24Hvto+_KY=_QOOPyl3_6Zdze{F5zUUk(^<@NMpTYE*u9a z?X`1V{4|d{Y@1#m42kPa>5eWq%31jM z_{_(r51(cDtjFi`_)Oq)4?Yj$^Ef^&5J(oEJ@GjTpSbqib5C?@PW_>KsM4zL&16D& z48CZS5)S?_bXGRX+LbJ1%w*o#SFstg3?63aAj#%oOb{#7XEPvCCquUg+C15y5+cOj zEt`R%rBg`u{Ao)tdZa5ETXQTrZnRDw&|g9F{%GKV`974}_s)?ycZAQK`@c*S+yAdn zu@%$S;UZ8#GgF*Kb<>apqBUi7LZEoPp#||#jDI!s^A&Z?v5t z*1AP#9b#F%c)+$l#uz{h2?Pgo79z%PKw$p@aBw(fA!1?#1cq*a7zPAHYky$7L=KNv zNlE1sUwFmmCqWQ@whf$EoxpEPeyBI9GIE3gEr7$b5TQD%CPomwRj$xku#gYJ0zFUe zUfcV+g>rxW#&F%pL)T#*`P@07iY@^maLc5v1t}! z!r7U%;Hl2R2&3Be{B|xK zkK9R7-H~}&>WPP28-A>xaz-t%(QNZ~nMfy&Fhhnyv~FH?3fVwTlL1bz1TBNfLKSGVr zXInVw$pE4k>DyY;Ex~1<#as!BW1?uYxJ%To)~l|xk+TAGhfxAX248g{e$88}i%D}P zIQ~LUk7(;+(WKz1ZQHj)H&!7X(&krc@Dynv-7wj77v5}g_M1Z5!o1*_Yh^Y`T_~uM zYnF^x>}M08qUJ)Za&?gzxYMZBfh)`UcWuP@VbooHC$enQ#eFqkJkU)W-bm{nzhio)X9Qo zoCXyyK*b9hsN!X3Mkme{3ZQXdRAFq*Y+x1z)OS>yg-~+Kn-GlC{9auMm9+2KwCa&c zuJ;k7KwPR@XXzmu+kzDfBTa9y^@eRE3+d;o{{?qcZv>Ofx(iuh0cyoJ7t}FjBlu*P z(wAV$awiK+=>tdlBH8`ZiA=?;wxyv@CwND|*N zZTNZ?JzqfL9<{_qexN}H??|f7MMgaxn~3a)WPN#4UoWWl`>HQ7Me!KAt!cy3gs0#R z!c-nW`t7N50BJ@nF$+yIO$*3^tXe+js%pT)m=u+1d%LS$Ly!i}o?3G1O( z3~%=*;lmHG&?#{OkMxcOflK#yiuHO2qPa%x&Pb@;E>0GRKVt`K_b5VHVX~?n??$}E z%lRF3E@e6wF`${!66@X=+ouL!0xwj?pdUT+b0Et`0w(k~+45Swhn#G%qCB>Sfxi`= zg!Oc;=E|Z?KyLGF4`uVH?KUrT;ieol(B_2>+vHKPtd0Z~SbznLRgR8y69Aztdgjjp z#i#%fsSu!T_+f!!an3l;`zHppE;_;Inh{K@pT z-pLqW)bwH=>zqG4zfJ>Ad}pWu0|^Z{%E^KT3_t_o-HVwJI>5?TyO#+F&>f?X+!=t< zJJ#R!->s>?;`1ix{zve+`i~f!bj}VTvOL=bMe#n! zw_$4zt{0NPtR?}=`XttyoYb8K9|Dlln9SiK(rlxX(mCA!&PbqHcq$wDLRfi@fD0lSNVwoPia` zVKUk<={A58@v$>C>GmZ<9SZonj(vjLc0fccs}^exCb@VWQ$an^HMA#f%77gRV{LPORM8(?a02) z-{I|~SS=Hmv}@+VmrxniC7rT|xTJgj=D4IB1^O&59i*@d6jSvth7F(}bN*DEO~{w5 zpCijEm-vZX=qIih80TdgitMva32_%uiJKahsGUVhgsd(s=Z0jdrbaYP7@BHt7LbtE z%{Kk;czS+@wxPC{q#Lg;n;XqbI=k*zf9qdcQ@_CHaeNK}n?8-t$@qL2pAmdqJ+i-h z&`;v!3-fV-mc7B)y>|aw02eZ9DX|x7i=oK)2Tc{q#Pky4?kc>lHk8MYf=6R}*3_*VM=NeQx{6_ayyp zz%1)D4}ACdiv7&P%1$5>17`+49h4v&(doG6p` z7yI+pde3endH02^?F9+z!>6}>5W5BNev;i(+w>3za8fHuc%Sj>F(-uyL8{IB?pXhs zzqh9Dz$d_`^J%;f9-mY3vHDh`no)<_x2EQuRDV7w@@k`x*;m!T>*Q0*_T^XW%00QD zmluN>8`0=(Yr31ee8;i+JQ}-B`$>8=xeDN3z}d#jj7ndO52d5FCJ=1rSK-FI=(T*DNiFHA=%Q{ni8)5Y&6~N>aPp$H;1Qv3G3=f!_p;LIkB1?K=#&QIWq-T zX~uT68!YR)mnYtrlJvraQOSe=zICH7lpp>z2!xu@0AY!zNu%N z>Xr3vQ`YGEQ(i5T15-u#Nm*gtn_`-|LUqH)AcWpJETY0QL{dr(bSwCumbhHA(jzFP z2dO4a$l8CL7FQ9W7b^d-?u3C28r{*iiQ^S6qDd8F_+C)Y+SiC zvgKh!i5e>X>F#tY@TZ|uajF`SkrDQiglJ-A##pAqmMM9}X3oZhbiILeL5*fnI7ue& z#a(d)AtspqoHRAY=|~`X#Ib#ZhVzv00Zc&*wY9?i1jHwI`u}gd>$y;!w+~3qmWRl4!6)VdruJ*{ARkPeWX=;Og(LJ&(I0U&oBgNC1(wV@ z5Bn=Fh?8IIzk&TW0$EAfw_fIT=JK|ZwtuM8&F zK7WK`2cbu`9YJk+#NR94*eYDByg+wkH+@KY45;Ds26xzq{J>Xi_?}npgKZ{oVVt6Hq2(R#y#!-5x0F z$S!zR<6ZTxs{Zmifm&b=`e%$iC%tj@Jn#4;c3ut6+grcDhH0bMGea@5ELh#(% zlxcdFkj8 zW<+@S6#N*TUlDH|mU1X#>t%1^!1FP<(t($J3%_+(_N_*bu1R8OBAOlLMk5upF$xf; z><_>s>0fk%tQnty>EZb7A#6j94=U^DBZ(u&KC)e~MWdaZ^%G{I^@|`Du=z2Wyxb*o zp+p!udHKn|Kf8T=)yT6P?zU~&{;;4Tm)m7q>PMaDx!81CTj(ZWzbu_4Wh*7-a$l*w zs@)`T*2i_*0ES*`&%@GfqqZ^@a^zw*T*@?M+fWZ{h z!;NyM!2iT;3H+Ne

X+1Nz4J-&c>n2lI`&dj2PepROxHh~v5)EKyd|Ud@CrYflt>c@S$mv|MUnH$3L5tEG*s^^Z6| zBF&?abuYGktc4;bstH&a6ey+7K5YVu(Fsws zfmaJ@4Z@4r$?#$}DxAH8@FI+tWx!bAfDy6G_Sz!WVrM!BaDxYfkABdyUNR7ub&*Mv z!NMLJ9(WJzt4VXCqzCuYq}NIkaojl6-1pE2*?6;fYXC85gmU9CsDlmRpf(rM2w%*! zkdy-#X+(r1OUg^4BumP_-m6eP+k}2zU#%XxD7!MoDOGlLylJOU8t=UETZlM+Hv__m zb$2>mmo*L)puO4x=d-{Y_f8ggikH{Q+8b+lD)VlX$mF+~T8?L-vAROmIpbUWn=Ilv zloka~MHaO4pg|7(^ib2;1nNCn+gbf4kYB9G!}dn@GMEnR40}kt`Y!XG&kG9f&5urxYIR6X!4`ns85NkK~2me0(+r9zBqd>e9 z^rKB?Ke`pV@ZQhlA8^%WIZ-~Ww8o-@r0Aez@UU*t<5=`HT}j0;I{1Hdf@}KSIOf8bW6$O157h#s$%}|Di-_8 z%(`N3t7HCf2@9Nv`SQ2}1=|J2}yVH`5 zrDZk)w!7tbz2$YtD9YP=4mCNLRMO&~+_G`SwCHRw86>%&P zKO6FT8DACAh7^DJ{DE&dFExNQNZzlA=|g#I`o92ygrOE3Am_G*>i^&$cYT=G zRU>lvqLG%!^KsCzhw-EfsO5Nn^Pe^SUUchYZQ3(8DjWg(ATgHZIdIvIA)7B<$%6!9{}!8 z;xV<{a&x%{3vdGflsmnJ49yV-I6W;r57P~ngW`>#`IjcC{} zA&3z*w(4u6nf<>EiJW+lSV|bpxcqfISFi0~%uPu&LfExW_QMxIBfrsh}G=<-T@JAe+te`3UZ@vWhGj|^T z%Y=X9Ar0||or;)@?OD!ciK`MN68`R;gb5NbuEB(;E!LN_#O3)U9kz_LH!KvRr+Pg~ z&O9n!QbHk@Nkw|NJPm<{Rti1ZWlW)g>4i3MU^9+X2WHmV1{O84AlP16tS6_oA@}CN zGtpzK?_rMy-*b<|>m)djY^Yf0(WLjPLq!j}#piTepOX(xTOyu@JD?oxkH;%=C9K6( z`y#M?<}ksQ6Ezmc06IjCb4f&op>>v-2jMWCM7+C}*!{!fyd?^migAo0w7~p4?3@x4 zp=8zUPdWq6U}!NO-#`ZOJF?cKkz?3DnsvtjoiK3 zbKv*F_)z$v&jaiGUn|7Lu}1x~!#Nqw%CJNtgV?D0GNRh$bq!Dng-!YM9+vyFmUHw6 z${zNI_#Mp^&|%1!njtZMV~~aa3#E+52il9^IFtXiG{2w|3kX0v|MWT3RwxRU zVc$yvchbJU!t#~ZC#4zJ7f!Nv({s`ha`G;Izoyp*Bz9Bb8+gg9_$CAox!^5;hS_&R z4|sv_MurqmPyh3OHvVq5{u#p3Q7u8fozA}%OP z`27N+opEYCtAxU6YT8iC)NMi&|_3_8oqR^S| zN!HpF{z}5%w)5~y2>;cE4e^I#>> z%oaK{Gg~5KD-IP?5&;SahWH3ha3Z-k3blmc+Ve}l7tX3nfA8ZzR)CEX|LH2!`>;06 z>1~buC6t6jqdHsm>nz*zA9bRW`kV5bV^^J;#1FmA0zWo%52L5UkA>Z6)w@sQB>B6~ z;Cl_CIZaTG19+UUz$jkY$9^4B&Ey}<PS@~ZHl;0hQ$zM^qS}lm`;(r!>c(9&FE^BubAC!Q^TqK$Z4~~C9 z;lT~f!-E$x9=YWTwCTZ%UnGCCgxHSQnBaZQ4t*D=6&$_0rEDb2(UraBQ47h2Iwo^Wc z*gkljV5{$xV_quW-s(maoOMH-j70sm6%7fn6l@}*cPOGH1 zz`b8f7O>s4@oO^(6?{DjC9X;S*#_mUFdq37O1$glW+h@y1F<)phO<6-9SeWBY2ieB z+_An1_TjibKpftdq*)=_Z!{4R^~YgLqJY`9DMOU43CSuClJP}-e0KlkDE!Ggn=r(c zPviDn%JK*Qa3|YSH{T>tEP6fmRa_u{&yQl1gstX?s1ST*GM3w5KA?@{eEi1=uuvf! zd}jUUlT*Sc^z93TE+vTwu{WUSESC6C(-L}gsq+LvrS7Vy+T_2I`8PGnw**>UXd~ox z4Iq_BgYUN+b{5|^3HkRO;af|n{<|B{pQLXwA+KuyY3NJBA4T}RcV3=tgl{f?i{AK; zUt9+0$)?yLPwY~F(SC(+g?k#bPxIF@|KUdYwn8hP#e{tAz4e%ywV&{hHiy^xI|()X z(|W9R`u@nJfV{Z@WRv>8N%*~SIaqw0pwQTlZ;m?{ey%2TZ&T=ypYJ7H`M!FrhTm^s ze(L_F`3Eq+(memUPauEu&$e$54#y=Q%{Kd?5q12zgC(!~d40{6Kj!E-33a37ahCgP zUAZ0m-&0s{^)H%Kxa0DB?znt1D6j#()ybc(2MHH6Bw?repLHzX`pZU5s4vebIEQ!^ z_7dOc2NmMb?l>YF1Ts#8BkqaM%uj`HeM5Xtt|Nb&;fwa;#F)fI5Lsmnjsa3oAuGt7 z8>mp|z2qF{6+cPjYZSTcT!WRw<`ENP0#h2Ceqzeg6_H#)dn~ z&N+aqrQY?DX!n+VKoc*MM7z7}1SGC^J%z#d(Kx=>aSxi;8^@=KZ;s@}H&Aq-Zmnk+^TZF-M z)~0AHkkVyS6a!Ln-~s;gUZUUahI@&o%X1fQIg~t>sqHCg*(dSBbXjze%Vv%oB+!zDj)Q(*T5Ex&AOwO8DDC5W32dNk`r+Q2F zplq_Tt)Q1TbqZ*?cASfZY=EzT>+Gw~c-znr*#n)L z>*IB5W8jvmlbn`z-aB|4$T_bxc)Sn@!#mO|AZ4kVYfK(B3PIGs8-(rQ zp-$>uNL2L;S*(xp>N6=`c6CWJ&whDW3>vks#SLyp8b#KlZqm2j0|O6~=YDa6$Xnn& z35k$XX!kVHb6eX2Se41hu2B~zXhUF4Q!R)At9Oe7YZ`znsMN(w2W4xtp`kHg z_26;Lng(DrDh9l<0cK4DFjOc8yr}`OriFru!K=THQ^GXfydv%ox2t^WXV3DA8v4h? zba5E(ijrcdc+`KwnaE9gVXtQ%$w2yL^GFssk7R=L$Ywf^Y>4xybcU#IV(w`C2Ad}F zQXWnat>MaQ)_h|FzC6SE%J+2h-Og`H6t4wE7tm4XK9SV{*SYc?*7`u<2q32;f|{OM zxvwNI?vM$$A{~T3XFNSTmcB^xSL|nt!G=ekexPI_0Z_YYC+f|t`ymN5mR}q_b|kgJ ztKNt-Fd1Z|Y5ZwA3e9V+&4^N@N&?k>1;Wz!C9jb}{|<0uiUVp#R(nL556Xza0L{mX zUZ#)K)nzevp_N^!m94b{fF(;Tc%ux%-6GH+sY`0#TE(6vJr}tHF5}{N?G=<=DBT{V zC@mxoT^Cz0y&JUEzT14j)rW1$8TV8|#C+YJmq( za6HupFytfnSS6Q;%E~}td28)_rVwUp3I-&qJ|w7Sf{Jz~$-V=;GnC9mMSM+V`^r}v zHtQQDc%joa*0bl)(?^z1kL7Jmk02*iyVX_{5rY~mA8fm&ov4MnD|m3Tz3x1RN+GQa zdDGHr+j*?tc0Kl$wtBF{PHLYpZK} z@YkSMy&klyid`)Cw9>+md~qTfXxJII*-HRKO_e#&_5$?KBDo1AiDaO)hS!)=n=h8F z`ABOWY^~vTDNWl9I58A!Ud5Vm7Wz^Q4+X~-tn{i|c-5Fe z8dmOAmwK*#@U@hBtL#_{(B#334qIrLlqmNpSvdQMb+BrH^P27K;6C_;poRNQk^ouq zmWAOq!se!+eg}q$6Iu(n*kQQXQ9TS+NPrhv32p#)h!$?bB{U8C)2as02Q(=SL7xj) zII(nU`L5NE@i141JRxVTT=)toVj=ZLHE~ak?9X$Z_tI)Sqqim0u4D4mt9o5pJN=P9Wp#2-W|poV4_h8JXZI9MrKF*lJR(xc%~OU!c36F zIK~DP?dCaezO&}r#yJ}QgmH4tWOteGg8BB%x9!JgnP(dZ+4#rCGbQFz$10`8_*QYy z0|`&}q^!eCY|Yee2X~90fLJp67ERV$P|=_qF(RLHlI{5BEM?w&bB>bfSyAGwXaf7I zBKxb%I?A2=l~}f4>q@J#dh!+|W{N-DM97dz1UYcyeNA#*eH}(Qb_?j~4j{M$rv1>h zwCb7(tJv$CnnZPQos#A=CeKxUXgJ8qu{Zw+`~+H%Q)h|MKhEN5EY0Z0s(Hvdnrw&q zHHU9LQhk7vKeO;XUHAikz~4wCf2L>F{Wn_;!r(h_98vkh_-dwflI#d)GFTdyK5-`9 z+&4`Lc=e=c85xQRNuI-)<*cGX0p$Qs?6iY@Fjkp?Q$mygCc&n|#!~$Cjm_642pF<{ zW{maKHZYg@Ig%{gmry5Hy$CJ^2!()^(;^hMUql{svJumHR=l2$0#d1*J5b6CrB8E} zG73*SOn7=p7@jV0dcZYcz6wc)0R!?%H7fad>gfl-$8N-zORUqQ1QhyM2onBH;xqAY zf(Um=fl=0(X3Tvtw$c zlJlsNE8j^mxaw%k)eWjPpjzmY*};u?7M?T;l}kZ^cz`0tEVq2^6iL*Ywb9hmOF^FF;w+xL1wI=qj)u zP$L7Nc4kdVkXjYHhLxpVw%=~pU+Yo?SUNx+Zq;+*=I1JY;}5AEf$|T4{pNd_e6Q*r z<~RP3HNYhqPNn{sw)!rOYx7Nyj!+yM`o_5fYmX!NS*L z3(@UK<#&|-~j-Rr=SS~GLBVAIbvi3 zLL}O#ezd%w$X*&D115?X_BjAT^QgY|!?5iMenjZzgK^@um!($hO=QZDWn{=Upo1PF zwE>$*IrTwiX9hTA6ed#i;~f{R?P-6W?Iy%nOGt*~%FM?Q+e!$s_m~z?{2EXUoWpnq zck~A6O<0cgE&wot#Bk5Z{x7UlUM2>AoggaI}_tt|4&d;TINas6QU zu}?DFx{&KjYYlc`pI4SHvU`0#%4 zXN@#fRSw3z%&T5w1`rfOsO2{h%xPht+ro<5!d^bGDz;r1L7GBFY%>qyA|}m)xQK_% z18(`EcB8cT2igK3#6N7t1O3AU6VVpZSX!&Y$KYfCgX?grSK|6Wx)Rn(P^rVHuGOyK zkifh~^Ljv8S1LOWY=^`R5jkYW&PG|Mj`NcdIt8H~~ZB1{HIxiN~K?acAZQ$(S!2X4zoOr#3gailv z6)P)F?XRAaY>Cf=?0m^q^?=el8b7vbc3(vMksu=M(h0twMk^3DNR>#*2Q^+-h(~OT zA$JC5NSDZ10V3v6vbzt&^_r|CzH!Fx?=br(_^tsDcT5Rj=C%|t%48b8+qJOP%G;XS zQv-XBr@Oa2?6sx4+W_ajZX^7Iqqx1${0YDaQCrw18bv8^@IvQlssx>n@n ztc;hYkJ?;&r;yE-ml9$=nk_6T@5bAM*QB1?j(0T3+d=Yx$Lr18C&b|(f_C&FU;BZC zMBz5&ru005u|pj_AG)Or`VpLSyz<=MDoj%4HrG-xkFyvQObJewH5+1VL!g-=ne^?Y zu{j*biaMZq2xdxS)3*rGV45W`#wxUzmlc$fq;av}Mi3V6BC>d4|1s;xtYQ$w%6dcA z{qy-}$+|N22Rj}Z#S2X+OPa<{fgw%bqOX`NXw$~$BCV7SQT*|h*0z3&U&{BFX)aiZ zLaqd44pxNVn3bdN;f4;m&l=HK&$RoP0+%lv6N*5T`S?#E zVOcsa1poPFzK9ij6H0760lllF(gnUR%g!aq1uxJzqA6o}9z4+Crm_tXBh3vdEur+(s!4NbLWKLuh-^(%Nyv^Et)i?eX9L4!2-Y z?kFf!x5WKnVeiBChr7v)3KvQqRh#k_N}(Q@--Eo#Si3KVjjUKJDQIkH^ajx2^jwpO zIepnTC@8FEq%*4@VHFk$u#e?b?yLa2tVGkKf+)|`lqgk5!d|UNH={gLB5Z-xSX+V3 zFiK~@#oXA0tZA?XcQXvE3;q_Y z;dmF?_fT7LSiEk47w!LbdxFx=_=Aeo$sL+~1taHvLYL_e+?M$CB|R-<3)BwHHuf8u zgy}-yD86MJMVLk9*G)OvbJz^6p<-<$@+WZ{p?3&iQUHn?~}iysqRorj;*L0 z@)n|?i*&b8q{6nyH36P`#LfWx*>7NpNLpl6!)6!@jUYqhO|3uco$|1Ho!cJ@n-pqD z(_#rVL@To1ZU)i05u#9qElJwkgypY)`u|z}|9>oBV}cja{-uZSYwQ$W1p7bWh1q{! zBl|aoV?D)A*#B=rV+nQK8oPC;j_0O*u#fNc7NTHd`xg#b`-lI6^{2NqGX1GqVC~G% zkTA4Ym?@ejX6-uQefP4GaqbAo!2^m<6#{iQ63NdTH5zA zwy#0Ak3P;hMVV%Fi|BYIhJ{It9v4VUIZ!P@Hx}5KFRD%b3txC- z>e!8S)J}4-nIU-A`@%2DcGK%eI7GpK-CK?PSivZQ8V%=gBJFYYedMt5!rgBlb8Urs`+STd*Hg^DN7KDb%7_p~T8?6#NNCgPMS4zX(3DdJ9A zE3`#^m)N3@{Q@oGnJr00UPVuEEkL@!RwNJqS&p;WKF92Gv1LE9Ab1GB%*p8WkU+o< zrBXsBQTB?k`+}iQvH$Dm278~t;yZ*l_N}^-3}_xqTAs73uvx84 z&2aZ|bB3w*pWGNR7(Guj1qa&+GC3w&C}hi!uIJiq=sB4P1kUvBGU%U_dTef%xva56 zayuriE3BZ6V!6O(Hnhvog0QVXv;ddm(tWWgyoz>gz(sA0zeF2;8Z)|pYXR<6t>hos z5Car0R~$g|rfn+)c|8emEK>fnyb@UFL?VA|&%4>vYkG1+`a-)vQ#U;&7ORUlao@5+ z&og2E?+EXS`{0EugNx84@0CBJ)-Up|MjEx-E$htA#4b}E{)OIpN%p=Z(tyC}{A&9|`TfWTD$PK$_qw09rQmlo;cPkf zJ5OQ6!DhV`@`P#4QYH^qL8llTHiL^BN?M6b2@gra@>MNTnbn8FYfAz0*yx899RwKi zu*e?lqBl zl%Vso02Pq_;8S~XT_dagw<{5tf&}n(C8K!uoG3-5(3nIjD@jCUV3G`N1-!5JnyCxG zGC^H^v15c(wgZfx8bw`U6!pFZ>4@DY3rA`pHS{$Gio(#uu|Fps0ByJrO(<+HX*3Fy zmhFq&7hp(L5`2B{$1ueUCRJRWy9kxE$DnObkxA$I002#qkqFL>QectyPAPzRMmdug z#QEU0hic*DrEp|nImyR==mdXvUVTp-J6uxMyIvC2S*h|Y@SeTf@DEi$MktI1sc+Z! zXrSGx>NFS%FlcZF5bxW9s@MCW6o>3Ag&Xop;pZh|3JU*~Xg{18_yaVy3CAgA%AjoL z9$KS50tWD*vnY`yg-4ptw$8I{1ss=O1bT=$?{;#so!Wj0TaelLZDp)@~ZVqLm?p^jpJ|E!tj7r8E)bMG#T4V z=Aem@RhCJ|{aTeoN(Q>~AzM8vVl$IiBK)CxFYv za1+17@tcG$*E7jZT$p{-(OR*2lMCWYbij$oM@CIjJdy2f5ynFi%&4gzNR$DV1%Bf{ zAanG7MI`w8EWNutgYC%2h?edNHAy1=Et->8m0}L4)0|<}1woli6wZ1#Y^8-ks2nz- zs>}r!2vF9`TFC$|)Mx~S_01ON36LBRA|MTAtRwl*hd^vu?+*}@;48`hWD&HcT;(e$ zbqNHz#tYS{a2lOsPcwd_s^A|urhzuvxG)S5l~nj9Q~+!h0mpyR*MNBGF90XRy~Pq| z;89j8Um&f*e~_#HjrElQ;r&!tD8XHvISD6^DjET~PM*3L8~B+?hiJSo`q&Vabr^t= zvP#3&FbR@|wuF-nD<%9tLJ9Of^FxglT*z4X?__BB&jcBnVO2I6{-4bW3#b=fAUYe- zK#NRlC^*|zIiopiCqM-s8 z8Ln_kSNMBcd?`|*E=&d1D_{~FLh53AP$5mNNV}0*!t=t;d%;(spb*@FxA)?wc*m%F zkpNw=*sU2y2nIVg_0fPuGNBoERidy3p`lpA6*p)fOq$AV>Rx1=K~eIgSAYHv1f=uy z*_Kyx06~C@TrUfGrwZ8sP*X%@07E4am^i_Do?E$b#)C&oTk;cNP$!U~? zRoUNJJVQV^sV6ji!f;cjN@hbh)!Pu&hIe4=PYEorvpx%ZAGVGA^c}t$|YR59rCFQMiWzc6S{31YKx~+AfRzlDiXQHV~a(aC?egGSSg~ zqvU4Q65^1crKhC~YC6yTfebJwmuB(gEy0rrr%-#Tnnt5iaLn2g{Ksz$a*Pq>fSV$) zMnppR>{mpe(O7^>*uvBjQWtivfhdq}=P~oa?`B#{3C{4$Pw+;Jh6slMof6EH5T10r z*mCyk!bDK*M(gHdpgM{MUbVTx)Lxy(AdbeyyMP>Pu8 zlI_qw0e!=eBfLkykKuV5XU@LOV5&3^Mp6dVIkK%k*vy^k5S%=M9ai~e;oGh(it;~t zTQlW%z!G~ap!}$cw4hSzc%iY5TMWr1Oz=ha&T(Z`CW*1%Nan$yTH($YA>Bekme^Oh zRc)m1WUdBOJC;Wo{MQS*cm))1=)!-)|1LNs+|l(Eq(jCD>2yk%+|xa*qS+-ma3wY; z^pybt#fMFB%H#?dn8@T><-HA7=-$i_!xt%{wWu16gG9&uZv2*Qo%lV3-+6AAZyVt8 z_I!GP#|`tl3>0f8^G?HAJt$L%1pUW{xI%VJqpW*=%`AEUV6xP;xCU`Ou0#7f7+QUz z30EyY#hOF~yGStf+0JLT^SM3J@9fq__n&o9xp9-wIyv#TI4!J2QKJHlZ}zfF5*AJr zz$Rv?(0CZ3vhyM9To5+w?xK<e<5aBZ4*$`1V~1A_P*8V&Yc1hsZP$Sj>rL*l~Hws^Y~5G!7_;?;EZL0sa>X5 za?J`QBS6DdbGUBG;%2i$xje$aYW}WPxw{1*{ z5j#6ngOarvf~CE6g~En6%#QSlNZm2gR7j1NtMyYJ!lz`lal9O*amQslcU+>PJ>mOw z!{vhd4VO*uCApQ3xYe-4j=0shP{^%@+3{An+%o%oo0Jl)%B`J{g5_3vXSme_pVU~b zU<3<;x5qflXguoAOY~}G4L#*o=~kIcwDEFe zXK5!W^CrL1ma68Eh2RG-w&abOnhm5dxoVfpKcN|R69o64$tH+Cs(PPpbb!oc?4lbY ziuOtRa^EiS!$xIZBb#oK1xONl_Ur3%ZS{-NEwMZ_b3wYrki|3gv^4u(IEIFn%iKD- zR5QgatfE9P7%=Jfa8W6ycb2}%=zJjurPwECi!k!;d}Wk{ja5#Ty$Cj6eG*NfN#aY$ zq6sd?Mk1r4QO#&LsOtcA#%OEX!1!Eh&`sjqB?Y3uRuBSCvKiqo8CD}Op2x8@1_vBR zke)N=Swy*=WlaBGv68`5%nBVAyJq#XW7<#aHL zbe*OEN#VSCFDd%N*9=9yOL12*s75MmhEqT_CU{!_5GEnPP9dQRBEbJ9cZbqv%!7RN zJg3lv*IqwXB+}2rwuCZY(sP0c{}(_&7|eM$qS9b-2M6b2Qy5lFbEcCuFe@3kkI)k*9(gxuh5jf)L~51HJSbuHK1nqg(0 z62N$XU1$NOTSyHY#IKft{rT0JS@k?z6MycOStWZAW|^6O@F2^hEfBRhNO{ITJi`qM zkFsXlhc99tALhyc>X{96xW;}Tezgpo&o9(dh4NO{0RniveT7}2XnKvF$P_yir5N-* z^{h^XJFA_{(T0kb4JfHd>Rc zYA?+(RdLO;^O>)R?P-S-tMpOLF_ogS1tEtqOq|b6Zn6*Poa_9^YF+v8x{x`Rz5C+?gTwK*MySP++vAHTWh(3bdItqaJvB&w& z0AQe29@h?rpo47YAKdyy(f`jd7z(DpjMV@bD9@taACwPVAVO|uLN6Op&YSv znKM)0)sQy6>|n#yaDKGdjN_Q@nof?de7kZxQVecsHIx6OrsUc6s(fi=%PfxMc7hE>1Z z5X8+%038IH%dl8A42)=GFG0TJaIa+l$YKIB!C;4Ga7dL(r$bfTiGRVUkeg*D@$>Wv`wE{PTHvhRh?U zR=l5N=dHju3D%^*nd%BWEYVQX5^60lhhTm4su3UlO;=;Yy{YJifmi5+TZx2;6uYMf zEl1ZM?(BeJ2^iORkO=p~$7y^-Bd-^1sKum99AN@bg##{Ngs)tr{1ci&=n9Z(tftU- zR%jO`#1RAPvn2J4T9oKDmBxN)2b(BDkb2QDCKwQXU;_Y)s+30{&#iDMQQ=VaPR>wS z^QPmFntPXa#S*1<+J>neZAa})uwdbEVVFqJUr*vIoac_+UjoK+mS7Bx&|jW)dU-x0 zw48}N_%&#%+`m<5)7!WugeZ*;VX!#E7Y#pF3;(c3N!K_cgRWX|$fVUFl@8NxyHkIk$bGu_p(@S)PPbFxWxBq+m2hw>>b z#BK(rA~CXM`bG<7B`)3jJbiGtGv^tem#iqX$V?q}=8}`yK?4a$;1WnabIF^SB2F1{ zLTl{lT^RgE*63t0=ERzk-OnQ(6QnK0!aOhYxv*Q4Im-kDT!{`nY-coV+C`G6HM9cM zql1R=ZQ(hGR~%@95$lKC0-`!7b#m4z@wc4mB8G$$qeD1rr0+nYV^j|c|EIoeX*-$B z=)wZG3?3q`6~GIvyTyD9t4FEH`U0(k`$<_6(+531y3{^chqY}`{8k@yK;YV1K7GqD z#Pak%)N2)vnd6j#X%|~Et2w)_a#n6fJN9<{5fr$!=JBgdYR}y4=hpOeALzn|NBWW}vGA z5_cOs5IAv)H&*j8Rds#nb}^*1COJAW;i0mDeYmoHY^=Z)^YBVJq~cmNIGR%RJ?Izt z*m%;*`hy9Q4i~VQ-zWzn%|qx9%2AT_2mPeI-^jb)2HX7_Yzu?U`@)8a7h2eGcN2y* zW_ME=%3y~JedHwe3hB)vWLg2Wwa76&oRAc*mEccFZH1S8RZ^K%(q)6D3Q!_lXIlm{ z1TK#c=YgK7#5~)^b|N%m=?vz38wB$usSVN*@oG_9gyB5%8O|fTldAA*co;1fMT3zc ziW!1oc^|qG!D!BaWQ8d(SJ^uQ0s(E30MCfZMuvUWm#_mAexOMN>L;Q;5vuy#mu@#K`D_J!IB~3;Ybogcl8XEy0*m(;IF*`JH;;I z`f_IVbu4NC#{J%q<(W$^W{%5eak-XhA)lEV#n9lRRwiQ^>{h7L05BWuzhB>5gq8YU zE(Vw8j?d51v?+w+AcebKUYT+C^HcMJqb%^kzR{xSjIzwY+J=exJ?=A5Q3cCf@(sfW zdeDgWP{%e&w)Q5Gjxp73yDQ(K?4Uv0AXquvdnu1im)3UR1sM%lFmFuXVj`@dO<<4E zU1aC=s0FN-BNdfCbXzd++R5iWEP`$v1=WxL#|Au#|1O?DFt5HW~i zHDq!rXdAPvV!8xE3j)OB_2Y#+@ z=4*T|h5@SH3-G!)tvW&rTc{l;xB%tn?Jqgy#*Vl1@=vo?Go!S~y9SR9aJWH}jUUxy zA_j;NTtj3R++#)%bmTVEg1^^?KUjQ*%* znTrF@lxf%|!)0>0!m~6!8B{ir5;A&hgro@%l0e5eKqOazaEC2R=EvuDY~OOsmSy5K zWsx0J6xHJ*o=1IrCg1etP*z*LCaRY0wbdGgY24P^0xB^*gRIHmRtKEiV3>c}3Ojo7 zYlpIYp)@+dCg2n`eAuxc#4kNijvp!H9}6;NRq0q#y>J-7rsv?R;g67HAP*heZb}+ z?mWU<_o+C>l@=o_CbHcI4`P8l=*HxGc;U%D51Zj3+Qb+sUfrlW1Zp&X551b08m7H% zcq2xS=ZzlJ7F_g&bn0{wF)-eQf?pW_Vz8yZu0fQ@J*BvEI2;|<3KDaO08)b=BL*CZ z=Eb&X1UxcYVaCzdzJ>1sHq8SPh(%`c&OSgAM<@6St?e4j;dWbkINxj<7G_v+w8gKU9y^iN;}$E z(?(NzjK*g!?ytVb%p+i+S+}_eHI=%8j%~XCs2M~q_@AFn4UrEf0kOV0S9pPXZl%0= zDBQ3t{UVx~8=K#<(6XvuS*1NDHmB20yFURtm3K$vOaoEjAOtOfpLVt?L0wE~%>vopIj9Ii0^nJ@kA6>v z)2S8mZnY38`c1Hf`#kd4CCQi$1!rz~OXlYE`WVB`;uMZctMcA0P0hxQtaHZF>#Nf= zx@~5NvSgH5#|>VJGg>yH;APne@R~NrH8N3$n++(oTe7`fV zsy3Bz8`+FI)%%KbUa=d9$yGVD;Byq{rj}EYc#g-ae3l4cG)WMSV~OR7?9{Ip+=vq^K7fE;El1G8k-T9w+2M=Y8!kj$6@~45aNSIGYo8pvwoNeZB@{ z6*+{(N_6|qbRx&^PP&;d6t_SN5|2AvZ(2^3t`pzom(}KPj&ahAF!T&{ugt3dT+3TflDyA^JB_Qm{ zjNHeCqpR`Uh29BHE~u0++LGHksO_;NjgKw!@M4Wp`wEFDAxtGz(;+dLSxe4Y_088yh&rcH1@^Kc}$0U)%k%q7E(M>|6~Y?8DnZ0lmO{Ss=s1d<^(G>ta1%xb?v77egW0H0ByA zCkTjjGrxfhYLc8C%<~xWB=e(~f)gh)6@WpC$pkwgxTw3vkV7{NXul)1JOC`_vDyct zP83db+Hz)EDpuTKwpS75l73sRWvd4YyKa~~ey{2tW&_Bv(qcbH34mCMKap^Xya^25 zHoI(lI>fFR$m+)nDCOM&Ymw?JwWD58jaow1xg=*1xUpqo-qcrKhUm_Z0!0gl-91CW(B`JtHqEG zXm8yb@(_CxbHWH}HIh3^I5Pyd^#3vUE?{;}*Z=sL%Sk4YI1_SYLU1tZAmt#K5WK_S zgrOr1CPX?KmvQZgnHVIKiJ6cwIg+;8qA04UYiQNDHX+PJsZb?atxKu*bx_q?T)y@D zeAd3a`#tAO;`{u5&;R**WX}8Uz1G@muf6u#Yp;EIWy{w%bE!`C*!wSMGFD$$BX0jn zJty10)Hn8QSg3kzog&LcZzU#{wG$G>0;lvwSeA*2rrOXN7Zkn&R{r7{5O_|}JU@uC zBY1iv>ejYrzs{SB@zi#c0u9~!-WIUYUuVHx5GZ44*NX&k=k9E(xJezj#KEfly~gL z7L@_-$4jIifE^Wj=-@IY#u_>jZ>)zSAqZXkY@wqFE2e1>ue=)4dyn|!;G1dGArv^9+YBUahQR|9&hycHR^)>n96>oo;Z-uFrzO=J>=^iF( zf&z5}v!FPBb&|udm$vyRn_iw7AZy(wj|_Hg0d6jC%6>j8yr2RevRq7FVi{z{n8~ zfBp-3aLh))(>E_*fliR~Ar%D{I@oXJzGLgF3rGJiTPP*%>*BHmRM*HeW zh)?Pf^8}Yi`|34Pa}PzwmoCynf(KuH8hmvTM-A=$LS)UCc!n^^G?YAFdI5OH`9<;$ zVa~3H5Mke&@&|{-TSVXh)2l8-OuLBjU==1@Qg)Mg`b#*W_ zp!8;nt&>49Y`eriY@TjL!9(-o!D)uJjAK9R!Z-%{9M|aG=TJ}W-KX$~!TEs5f%jtAJ};1ld-LGom%l@kcpy%OvW+aKY6IsMVb z7}G2Sy?-P9Q5jr}l1_hwj8%WUh5hjc{2_VUA4y*NqjWR3D?!)A2bF;e(9i%?ECn>a$%R(_o_e! zeKl&TZgv$4Q3fqoSrkg@iHUKFW{o1{%p1?rWAR*rXYR#Gl`YT_%+M)lf=FP%hO%nU z6fPrM{U+{}#fD_CgCO`B(-U3mvbp5t@yeJ#>nOFDhJltqcBs6-gQd^UK@qiO3r=KX z)EetW`e=|%(*J8E=zluBH2ra;59;Z%1t*bu+VN^OQGq&Bfx}tAHNzCJ@(>PHJ)v^} zoi_U~7!jj)Cf>F+lhDEH_{Eo+J`1BMF%ad^U;r`?V2}Kwk%{5Kjf`A1gBV#et*n#* zK!w)50q-DLB4()gzcsL_#0*QbqXfv>y>ur0-XL=1lL6=>yx>I=fyc zcZ$4?eSxw%suh1=HT*4CsTEA*C~rJ^_CQ7rsJ*JcvVd8XR=L`*fAxzm#lAPs=a#69 zh*?a91I<|#_H#5Vesl(_F@~Rq8JaH(L+O5LC*!3oW}_7$pxHr6&(g#Nv20bl!DVi9 zveQ&N!okxPO(fG4Y-TKb9XN>prV}I94k8S|F{Z;w!`GpETD;>#Um% z9Yl{YT1;y5`O&}M;X$kvvpt`mej~J}wmX$~R6Chld=5{P zxg^ugxgV=h$!aKPGg1We=kvRU7g`i{HKM$D5m01}t;wKBux&8`1m_UJF(<*{O_I5n zb}Yk2*ACL$UgxuOmUUp(!TcSu?W?^Qy7IQ&;Q2Nv*;xo_s`ePm7E}O&!A_` zTn~cd1YO34jDF_kSJ`QW1nD(m8>Z-`j~E)w#85;ZBbqFCz`M#Exe8;B*+ehe3Oz*x zz%zlEZK8?slP@;bQ*XJ~@KR{A0OK!wpcW%tNo#>-pg%;@0B73(bxL6^Ay|%Hg!VNH z3gP`zPD?NTU;xcTTC4aA!8F?!+t|`i>cShu&Sm5aVnsS!STLo{I#u?s9dN@$%L{X* zDorX_unJJ>U8;m`jR=<-Xry~r$G1b%qO;5OV@mnV5F?AZ&JARYh+{B7nEho;k*O@w ztSCM*7~lpn9l=K>aS53o(D1@udVOs->W>HY)nJ%l5YZcw4!a+6bjXUf*sH>t3x^Sr zjJEcu6}va+s^XArQgEW-Cdonrdm0Dk-h*xHu0nSZ@!*YVe&>rA0vr}(lik?s+9@Mk z{SCpdo_{pDA|3!fe>7y3h1ahx{mX(H;Basa!$S4g(-f8*oG2h^F52`WWz_(SMxDA` znBng6qr?@g(Rf+4w5?(C;@_6GrDCg9%K`|gc?;EWosu1x#{lJ|jAIa1*HtZEpp(Tn zGh|!!3!Z>5ib&aOwNt3$)37jH-~L1wivnCq%&}^`gA^*`j%9k~(L#I>eUNf)c6j z4uY!Pos_V((t73yhcUjTA!{bWU`BN+Wm7CAkF;rJkZ(1}rL^`!ZI-gS*%T#=f6DPf z4^oXj(=@t^-EXj)BG^qKHtif+9MqJN7DL%-+WHJ-u#2abGQ%v{-o;1FMO^d`Lcb<6 z+yGo>{ph{4>EtA`P0TtPHN$4-=8iq$M}9{)`xCsLu8muXT9l%wD7L@deac9hR(IWP zGD+CK|vohnUMcI+p^3wo64B+AbMx^hJjeyHu1H ze-^qe40r|lX-YC$b(83j)=$wYl~P)(E;M9|w90OQMX|7O&@+=#n$oU@Qjvz4Q3diu zdqwP$tD=6JuAvFCCa8X^c5hYw#o^RD^e<17wL0ofIP)**B2J^~!Cj<_D1#jmLKo2+ z&PD9Biix@m<07it!1SR?IX|xNoq$%s2*SRK#zXHNjhBojE}wOrZ47hPzj?j{%Ed8t zw}V5r({bLQ4Cn5rxg6=BPX?NSdtqb|SF|6@N)~(3oOm97ov6P=tBL^7NsBVvZWa{ZCw(qPj=_E}U9J zt|rOs?&VgaCSWioR&t{h7BhLc5$h6TVCewWNNBb;1Cc01d1Q zD;&FBzG7VFsFA1^F7T_AQ`br|p?BhJP(l^Z z{kXUR=SQCDolL`H-BdN7Y3C>WrsNGy>ErgS%O zg8G@^h2J~Z`0zU*eF7A(Z|hEV`=1-6o(ClLD^_K>?Po$8Vbai zYwAG;NYV(1oHGCeV$yna^5XS##les`j~VY;%>%{<6fpd{2(w{O&@x*lPJD?QB=kw( zb4F=7qDW5_Dei1qozIAMO%Tfc-8`*z(>RE)ZgNgMOWyO-3zL^-}=Y_T5&ULu3%H4qp$^U}8OImHI7vnw%@iJOi z$yKNjfMo`%E~!^yg^L=SOSHQOqN?4I*?kjUFvP{HS`f%T zOvFzztB~wum(BZ{WRcuo0SOjGHEfCXn~4H>d2FoEOzfeP==-38R|`#>Tm2rzo9JDJ zf=mtA4(a|rYR1&6u6XbY^1$#E{KQ}ryqF9)ybLaE?xka6yfT9$Q8Z&uNYc#!fhqjB z#A3l#>eLT9D6(R)(f|C>1-x*~pIWsDn`t!$!pT#sI?w>RmQ^TUD=mqDT%A^0bS6^@ z7p0cT#ie~^!NHi9f|*RLOD@JNt$k&q%USiz`QR46C2h7-Hl_3>J2OY?4fc`$zRH zDjYb<7sUgHSxKb^y%xDmvOT%7*4-#WB2pYWl)CXsZIpR;HXIS&lyx;}pyVcs z9Q0+AD;;d^GT!shnt7-x_iS{w#o)H+IB@fP88)&SM+P%}v?_l@Not2yE8kN|oO?>* z-v$fwWsoUF2SbWkDw82)7EdY03Ag~8q@*b%}$&+cILNaug=i? zG1zg$aZar@LIP=B8(uFkQxFc#Vxqf~Lf{Rr2IFR+QR_!^?9IwLh{h?ag8z-um4mrw z<+^#JfXlN=`Br=mxU%EhqIibC2o2!GB5p*^l}&XXCBA-^oT41^Uw>t!wpXw$h&=Y3Hc^ ze1Y;eBJ7t>Dk?$SM5p;hEkc`Nb?7G09!3?mHR%W(DkW?Ul@Om-FVfJB>5i?@CUqxn ztFsZ^p#eviFW9e#F3e%anjY9YzGGVD)tDbqXpM zPtFoYj&48fqacHx*r52t6O715s;SF7xJE7%>@X~KQIa-ZfGjE*#<-yjCJh!+dVp#| z&}pXKM8{Sgn0rFv1C%CAvE54UjAzACsi73?fQG%VddPJHo-3MlWve2w*QzY~t+aF% zy0hoahXbhY+T(id$v{Ffq&t7qfVAszd5A~>aG*QD0Mr?POn#&=pWh|FvkO^W1UVvK z3AVAL-3~Y<_p_mG(KLE5fNgk4&?K2TT^syFbJ~wCv|2>b!SF;4%9K;|1PFKk@g8*3Ck`YNvsuA^e2 zlt!}*`Ts3nXJJ-TiZ9Gj6I`2hTFD3-P2SL6PjR<}u`1J)0u;uoqC&X-Go0L|R#BUR z`_$HA9)WY#)TCqTKPBVGkdFzgm{=9$X_AccwxSq`2;+CSqpCb;i#;??YUM4dr%kLU zCPq|4Q87GQHAI5wuV_X#su}VXFwu{Qsv9AKoCht%6m%qi$~wfAi%1d9yjU$VfG|<4 zL#Aa0B&xgN;dLk=f>HJT<5y7kx*=#kiN%3ZZ7fxjIPF zVb-uOdrNH#jMkEG;ts0xI-~DW=665cc$p(Q+Dj7OBR&Dt5DGq?*^#c-5EU@HUW#3B z(mHlGFH-yreley*cVm_H-j9Z^-69-hP@hSwBRyAY^3dP))<%t&?Fu*2LGiTL4KZ}h zpcvMZ0=-oNK=yLUmOMA04*3JKFxPe<-T@bTh3}_sR}j9Ji^OmvN;}Us%r%vgEUtW9C0dqnr>Nb3-bNHpNOnn^55^H z1e3OKrYfe64At?1%6loJy2KN)o((7C{+wL$N(M673H_!{6)=)cwcr@QdEij4uiO?> z>`5pQY3#ZZ9G<8?PPcXYC?KS_!4;`k|Dx-YOP)_2(013L>i(=rxY{6i4fW^Ehla#t zAWfc_=)D%{eB2sU(vRD;$Ac>&RYR=v$2ZGvR(vp0p{)U!|7C}u?E9m)nHLBq4qt6R6nPTzr;(PBrGn9**b6T>Jng<&qQlBea*0Hmib) zMyf)c?Nrg{mc;TOA=mKRM$Aq)Z&(#k3ozz1i>S#`f+8Zzdc%y?!ovpFUv{$<6pv6iQ2JYhfs|M>k*KJk0M3mWFYo`IEMItsbwczw4sE`3DAC5bNV@p=MMes;rSH( z3`-lY*UuR|@2sEMKSt?iD#eFyi&DIe9~Ai${zx^X{+m{cYItW~St<66|K|uO#pSQi z+5F$AgYHtjWjys6>2x}0ndG3uA;f3(FpJ5s+^kpvBRuie3&%5L2kJX^>nvxrv$9p# z*D>~AN7A8L?N7w@KEu;7rPA)Pr-Muuv+~)~?MXINSeZmnR@|1rX+qF#_HiX~u9g~> zz-h*GYxb;?IM)};tH4N|N+We^ImJrSn)SOyB=FnM<-T-=7VsB-4gSg*B`zo=(yu$V zY|l5TKDz(ywx!$uc*wD^|A|Y>{@3F6zrVhrh)Dl?cMJBv15AY(_HUm64Sn1NT6L`H zq_?=qKWB1@PI>`>M7ytWSQOF|VHl4U8p%T})Tw~N3_{7Jv|%1?fu|5Sc$vGQa>>8_ z*_5;`OUfl*u?b@&A^tEEAR6}HoAopM?-KpY{(F{wX8%22KePYV>u2`guj3iK@5rQF z^1VNqa(_noZKVHl-Up-JrRRMuPJDu9x#T@CiRDM>p4+W-+(Qq;S%-CaqnJ!8)kW=R zV=CR8o&l~SmUT=i(S>kE;u?TJ5mo=jL;Q-vC9q_20Kzf|QdpQ1%Ex`-8p=K(I58)_ z#bKIQ4R|mNj0pRqLp{=A;sohNxz4E0na-?bw!=v7T#vi0w0FRGii{~1dG2)Vu3n4m znH+LvAp6B^|Ffh?Y*>n`Ff5MnS?6#b0hlg|^_HwzZA8yF8bC`j2dI z-Qxxls>hL_%#ztteykx@jlyvDLqO>6q<|KbcM#}&7w7^3;+XeMH~FNafy?ehO3s+K zBY~tl)m4Y(`zViozF#;GXf-|_AIG0>&lmEtwpY6VK58*-XkMr}9S_x}7!Ii1zdLIcWcVcJvAZx-?5!ZkW?&qvq=0 zaOEl5Kg1()(dF_wwV~Tc0C)HNU#Lj5;itXEy6T4i^;jkNJEY;U|97$}5{lI1nM1%E z)+-#bto^`Q5!|Q;Jz^s27aD2Va6u=jw2{8SCFKdJZ#vxy=epIc&rY9-p6>3IU0S9a zmV)P!x$a}o{AIP62#R?jtE?9GiYB)@RQmMQwcH=TI_u1A#(D9o{NMJ50s^je3Glp3 za4~rDNR;6RC*tiet;~@_FN>1LUSD5fjfe|vToCkMZbOsqjGl{E@-MHnmgvKY^lNJ9 z4Bf{GuNuw$a12}LXz3VNiBf>5$gs9VcEJXh`#tt&;eheRE7u^BO>caB0GO=%l57cc(aV7!U~Rs{R1 z!Sz=*d6kr#yw)b%CkgRRCP1YrlreaQNhxDeF8SM+ z4GS~L!bVIAR{>yBFjv+NF{(;iB0K%QqAhX8&`pi3&@44N@|cd#mfE~yjM_^U4!vwO z-gnen`zD@n0Vsbe+K<&wmF*4sDc*j7ej0%&&`G8@NbfYxci||lhxq(t16>jJo#HWF zLkrvg7i0Mm2RdW9)uFjwCjv_kJX#Sm7siZege)!RQeZv22e~%J486QSOp7|2BNgM6aRiXN0w601lxfjKm%0NQwemMU=6-R1!j3i@OFMjs{lmMgn>N|RwNS|r|-_hSaGk#6ZPjX>%7y*7ceW}U;F{xQt2Ij^Ry(92rK+p_W#@!=cyT4wne9FmDJYpCZaF!E|ef{LOthMeB zpH-?RU?B*+g^Id~c+Ct=L{#%Z5K-}({oUjnz0wLWfy=X3hCsMKd=cqApz~&js NN5LkFeR5q_yc*{5RW3 zN8N^RMKp%j#Mb!XzPdH;GdeVq?bs;|r8-Hj&8j(5mEe}_b{yA%5yH(_p){pH4 zsAZ$&k}cTHY!i&zvf4IKNu-C6)ho|_+oei&G_+Jz7DL1;bvu{&6fo?mly52H*gX;) zE3^G`M#LXhP{bc8=~mk0SC9)f2^g5E?f^=+Kc%3N||VAETz zI~*1i@grr&efzUUG@5o@JB2k7USYnoYP22~f~&kN~lbVR|n4ueFBET$0(e z*q&n3>PZkMuIyFO8IqO`7g-a_|0y6!UOks{GNTWKvK4VCt?tYgI*q@Q=UI5iT>iC;cpSqgB?_F`;|>@MKW~ZTAOep z5}+!bNPw!G#q?ZqhRv=cnT@DQts0S}?X@kdQ%%7TJkENhV(q&cD;MTqt-CCRg5G+@ z@cY7-pG!e)5Sv=HX_E!0wqj)9rcrF$!Ub5+X}k7eZn5Qe-*7{Y>_OzP7#8KmA^zf6cf#{_N3 z2Jj3y|C~u!-?gCY0J@bcNgg`4l-a+*_o>x>toj# zG5+#@DDxSV`8!JHd)T~dkOx7Ivk6xacq0nSQLyp`chH>yk|xdJ*j_St(_XKN%e zBVjn)o?z$=m9#)QlL?;)d*m5so4rwuU;#1U3-|p#0gamJ2?*}_EqF-WFW!K z+}PLeR$8eUGogE#6XUR>GHo~>7zVu#SVas@!Zv(Lb(I?}t;+1?RWW#f0~9o@LvCyb zijkQ%LgDZaLTWGn+EBZb)bcaP-%3acw;Q7eEt4M9e_R!}B6PlA77IP!Trx%8#rF1( z8ST()vouc-4qsN2zT<52AxK8wtFsAv5N;!eg`eVWS#**yDlnre+=xI?n>z-*@`S0) z>l;4*lG~|TxPZ`V;Qa^j0TPsan}z!&;8x_XLfTa}?Ixrl;R2hm90?f5n~;F*jWmYmp5F;n1T-!u;0gVlf)GA`OoZ?;et`Bo ze?%G2A^A-Tp^DvilS05e+T(DMA~XyDf4PV2PD)7<=VGFr8++d!EL~kf#vzee+}0PW zy0-G03%AG>ABCDRYwi}q#Q&H}`O7_YjMwy!(G9TgBewoz zJZMyExV255%tpy2|A$+^L{8f<0Za^#W}rAF@#Y`ezi1&<5%P3-v+))G7yR zcMJ9NC{*_lpwPSGv(ntlVExrUU{Aebv9kbSokmDU5&A5`kp&3r$p>PV6L!X?*oH_y zXGNTTzL=o4t2^9`vBcm12L$U#OjZwRNy@+u=3j@E%DbUf@^*3ZR;(ab`Xb-lL#DF* zLOz$g$fjJ36g1gMHlbA#;!~NRUGi=54D}t&B&_fM%1}Fq)Hb5NI=Ju&r6B4%+&UsO zq#Hn(C6{%T=O1D{_)b$v5pt}jIbF=ggb)rf0FuGhy%Z`RCNe;P+l;~T{^T{6oMc(P z@)IrJLi&s#EoR#n(r+UDZHA%$(1Sw%dj5#Q??(E;Col{fk&E6`#?D~O=vV005A9gg ztsVJzj(l)Qe`pds@_#aP(R(E&ZsU*CYUbZrt0}6x_uJ%y zkPPXbZxbdn0cBJ9&^FTfsJvh75Gtt7Tfw$83OdG8c>iPFJ_PF-m<%f&YsWrVz0Y%Q zH&ce4z25o@!|^RH9aX zqJWF2EltKdDVPlSK{_6ThH-m{b4#~cR|ej!EGwa7Eyqj5h)(1${-(ut2g=30mtF(O zFCqEnki6GWLUQb6#LCVcl|5_iHNv;rtx>0TYp^Hbrf{qWN0iunG4t0m59#N@&mbV?6gChY9SE-}OeB zo;g3Z(&))0!=k`Z8}g5~C}&xeBZo!7w*Mi&#-eOxQN|C8QcaY1|7;k0>ORBRTOSTr z7c5i^`43o>Hj8rauqahTS!7YRwJ4Vki-LQThx|s1^6b5avFxxY*nctPPqZi(S(M~( zD7f2U$bauoruI8qjK6%~)PAlv9?nbCPcR5^GL=jINhab{#77C2OAgtDJ5|D6HsM-L zsZKg)_uY(YVvPpn zA*BB9G1x=~pLh&j;1csECbN7#Vb+|Ncn3jMh-a=P^I{%-Adic&)joKYU2C%+U^X+! zk@-0777)!_cbSG;UJMdjARCp4)1dB10mc;;;}nBI>-2kI4^~#Q2>x{Z`gK zQ9qTpU!$Nc-OoU2${j9+k$Ne zFjE?!;s;NXg(t7Y@%;9-&>sgObarmH=xc85N!MEKdr#&`RH>&OP!R4`Mt@HH`K=>9 z?hh@()f#~^1p+<$Iq{34&{+$8MwEQSX)m`>o&yEt@hG}n@=2Lukja#jPZ=$BWVFCS zedd2|SA1n^EX|HNir&9a-%`q7o@DVK0ltwjxX3ClUcb#W)pgPQMwNfP&A-ISCzm%l zT%KT|W=5gx{r0sJU6)_NOkxp2{uf^(BGSn@<|GM@r_a>5)FqHt zNS*Jc1az{ceyvMg-Di#q;T{AYT5G%on+Gs6b&&vAK}pVfol}Wl-fAkb_onbWOR+iA z;(zkjupJ?TrdHFP##xXT0I~v1fBsWb=;K7nCI4&_?$%URqIwOuX&;$4+sx%orj8~* zca7~`vn<@1Q8c znJxLfcXU-~F;qR@yvcC;EHa6&R=$FHoRVn4^m~(0>+!1A{86>$ld1IrOXo5c5b9p^_I19BRfR3p6?JIe|tJTn1w$( zDa2q-L;rLfyj=w`eRQMYvH^@3YXK4p5ZyMuzLP!ySv&+pqhW^|_ zOE~{Fs&5cw2ara)_(NeYm!&2VNQvNO}EB}ckRgGSU8>r+ykJ-V1nqoX| zlTSu67`)yl93=_y9wzAM$anCJNplO6a>;rNx;;q_KWo$hCcif zla@6rY7{fl%y^3#j5Pm-gpl| za>;fJ`G+?MNz1Tu`!9IOBN}xbcO2nN?slZIc#V%&eJ0o3mrw_(q)-!SRL}nb55>Z8 zc-gp|u*I-)8NTVRlKPjf0HD8fJH{Cl36BF%yBwm=L&h+9WR+wb2 zA5DcxtOZrEDNHiQiMyGF`lot2t73~Vv&G|}S5>{aO|FjdYeq8j&rZZ4~sUQ1rS1WKIvH%%I$ zn)+p$j^g;1?eXJ$ggR#97s*bUEL^CYpT$_%yZE0|D`VM;)nC3Th=bjCVA77x7|SP| z1S3>@`c?APhijV#yE(<@e;gN3ZqI-ubQoN|VXS1wk1tjn;)VtdDwH}lXWpO2>UCMk z^N=J{GRonoYRF+CjvIkKGvd1{SOLhNY?3wnp7FhrJzwf=$uNHVk1;eWLSmdkg{CTs z@{0MK<_u^Gg89-Ot>oj$1o+s>X@!eH5ujdczR`u;Gky&+=Hm>u!DjJ|x_HndhI~0! z(GCk%dBT-C@fK61Nv+ROwf34-n@ievOd5=pOvS~7;Ttfh<`@U`?_XSoV+J2;jt(Z73_T z1fO{nffL@Y!R)&ksBPCVNzg2{b)q5Tyry7ZjU?sEKK2S=Brd1pZHvNay=Oc>n&}&W z$#i^CjS-|+2cj_$J1LWdlnVi)nyOML!vTlCCaclRGbp^mXik0FKMWUbm`@UjEQ=s^ z5QzA*su3{Ysqdy0!F_rrKg*33l{VqcVM`~0(T^tww&VR7suLfaEIFg2`}d zzy*`^BDvHujrdF_tIPKHXz=ldKVZz`8c2LSbk#Ju07jbJ%ilt9+~~ZjN`K3;#XlXJ z^Qd$%G3i*B^nMQ|r2CdiKnUPy6z<0JU~kz<8VLM{ftaJ(Q!CEd zw=!1hpL?&7c{bzW9VCDuP(1Xw8OhLaCdu4tlnRr~-A7Gfk{KwyFv;9}Av95uv^If> zB{0yUd}#!mbX4^Dr8q>Q>i812pTf3J&s|-;LZ%C{>u>yO3J;nvHY}WqYYh3< z6V5uI?iwzitENJLUD~O5*Kt&i3<-y{uWLdP`qdv zvve6B;$Wy@1XsXDfhKF9AqNOUdKBoLKXRNH@_*_8L7$^QDqe#15CEau#Q$5Rhp!gC zEj4d21=1)~juC30`)8@Vkt*+wk(!E&SEce6l)@XO@>Z708?EwYk1#aJ*;VGPE}|}K z>?Xi@0x+wa-AHU!a~}KC(c76>BmB9UOuf?3Yz?lXp0mnf3qQ6bY~jKVVWtdhWHYT8 z@^{1GThoL^-QrXU*9`e_2dJo9)M=nMHxDTlb%cZldei|b((k`YNM*?Xp#xN;-;Zmc z3jkD5`zLzC+864#+ODHi+)Ouz{K-y9MOyw1UD8Mgs7T9q)Ie|JbghwNk(U3@dZp!$ zJ3vKR{;~vhhWu*)#FkzfceVV1N~2j?m#F1sO6&e>AYDx^S9yn)!mChuTb0VIRC)7k z9(kE!-b9l{J=a!{p+fcC%mB6;VPNcu_U6C6s)Vr;2TMtNy%55Hon_6uo;vsmwEoPS z6wSjR=sm3L{aVn);k|5b*=XAE`ho3bNLuGV%qxaS$OXpeT@rX1fDNO7i86Yi#Ic6_ zGkKUa|831(d1&s7sutH6zZVQ?4b-Qi!y5h~jNeGS2lkH`kvNjF3AnJ1{z{3 zDZiLLI^jn1M@RCD`A17T_{I6?zcxQUwM;r*v<1+4Ed=H-@@J2ts%A@4>ikNS_STfP zASL*S^z_0D)NH&)^)QL-*AG;1x{yn5{j%!V`^%M1=z)XY7+}j7h36X17z7XBg>s%# z4ot1{oOYfk^V!6RWZIRIX_v%&l8Kx-4hDNLHoXvR@B;wYF4#;j$D>o&rk%pHu@uVJ zNz?hbJPDJ5*%~lbHB+>n>n9gx{1TM#zs&DKjI54Ro1MyHz8;S$qg^F;zzz>wCU(#Q z2a^zgGiFH!6Eehd;R1^oD8525R4&qAIWMS$z`ji3LCcD;Mr{-e_cNMMn7*Hp*Zuc= z04XsDW<7ry7VvJ|elg{EH$Hz#!yAVmVi$Z9786qmcy)6gnrxtn5*00CQd!u&dCLB8L@K7$vQWtb8&g(sw$g1TIarvnTZH( zu>18Sgg`lf#X1#1a$dzR2y;!uNa`~v+c`veftwxl!tmXo>1Dy6iln72D`Z_fZBD5gE(Cq3v@M{;ND(v4UIM4nP>%>)txURfuiFAR)%)1ee5c$w;N&~T? zfFdi)nq>yPjA1qt)(XjXRKc?iapT#J9(cCFay(a?FgTuNB+=xR_V=u5wga4rZ(Jih zh4FqUd||vFCeS1qs|GDLNm3~+SuO=3nqI1aYp}_I`etfsQKuPufX^={$-#feb$~SF z(q^>}9*xQ)M03sr#KnX?4xzKf(AnSubeZ89)8BKFlbRg13OJKeu@Hq- zV??s@7@{Pqh0_rd-a=TaGuCcTGl^kFf3_T9xO3R=1pBf4V?ieey($X+oK-S^goG^$ zw{ti+&8%|U@X(-H2;FI*;eE>2JgRY_9lW@kP$Fci94!CnX&6vKCQSAml}$&iwi^hW zlw8X&ZK~T#E&$jw{)2y&$L3?13hNtSAuD~f4o_Z_|Kx!(J5pgg)J8r9ZyLKPzZ4wM z5Gti|uDD05F!<;tmhT6PK`uPV6Vg|jB>~6`OUz(@99EUUES|PM*Rcen%E+_um;nEX+ zg+l<;gEO<3z%(`@k92WK;9gv2Wr|fj#cBM-G;5KPn}H>Ry}=RJ%I&#&Lz%;^;LySv z95Go?Kr1?Z?!>`qV>uj4hQ+CGi7-Y4HR$0s(tDEL(Ph$DiphMJVbH(C8raDMA zwx&A1A6S6CDVsxh=tgxGtz@kL62^H}nIuMra;*HgeZmo*KwD*!uv-K=Qw%N2#A4%% z|1QiZFOVr&RU8{uMwMLY9XCIQgJF?LB;Fxc667a zdXweVC9(A1fH9CF!SM!cRDP`Rsx(g z_3)YGpHUooJcO}vJuOO!`)W9FcGVk6KzN)`I^C)|A_>SPI`+W=jq|GWhZq7Pn*Tik zasyKO&Vh%aCM8<)T-55^iuMWoQC~YdH!hzBICn(*-eGGNvrrSMgRoo^wx+axgymB3 z!8GnW(+h}ZZIHj>KcARg`~erG@$H7YXJO{6?$&RS6u3|PWwSsV>d+*#uUY;keieUp zbwv!{Z^q2Lq4v~l|Au{5J^Uqd{&6Q@Wad=3;_fML2P^K&wC335R?jTAiYbGM(^sAE z@B!q>eP<6+&Y6CXcOFlJ7^gu;>NOR65QtP-$Zm?z+>G+&5Z>wp7c`rzB^{SfdGe6$ zZ<4%Je|EBeKEA@B0mpe_8OcU-%|=iTbWtql&8qa$rBt~n@*yj5!0;fh?Jzg&feq}6 z%JwgU5tDm5W>-#NU$BsMMUd2Pe#>h1mPUhByD`N2=fi zst1oKXr^{xJd-BJzOS!6BKy9m6W_8^Em51sJ}}wZQa}U`^=Dp}=sfvZwV&hfBpkYlW|AqmDh;9bIY@il@PaN8#a1c!6 zJ_p={N#sRG3No5|4cc%WLDT*kgv4-H&{*ncTfRINTu+{J$tDoP=Stq?aW+z7A69|m z{GFtRrKUH)A&Ip5-{GBGpfcXrZ>V{7LuDrTh9dSQ7FQMI&e)8IPn1k507O5DU-v#r z-%cSsYZ3lgJuJef0T4bEMNIy{B0QxKidb2r09!5Kb;D7f6+e@dzYhedY1fICTN9%$ zWBtaU)6R)s2w1!|R^m9pc7sKs+CaN6=c9(#lL}!fY*5Ci^R8ttmcwC zST0UhTv(^k;i8)KN2B`j?Z8F;n1YhX=)3O$WXpn#{7(6a1xdUL^kKl}t4Qtz5T+hw z*{Mc92-S2$Q0{Q*ey^tI1N3=X3MZ(ZOD^wG^33|*#pY1xB&MOz@i3a3hha>fZlTU8 zhGO&OcLUUc7V7X~C}?ynuf9wu?cEby7|>it?1ABT1%-~@mqHm^+A`k4E@1F0+bqE^ z!`A#ScvLCMUoSHi8z=@O2f_Cg;KLShc`+b~24^Y2Wft&^Vn9|eU_b>to@@aRDhA{V zOfW$K?qLDP7X!u#_!0hqVwnZZBX(I(YuD%3WxoE-Z$U)gWreH!ajL#ZZhhi+1d4p>`>TVr4};B$$=z86X?+1%|2U zCRemJ6ZoI99ic9j&>x-+g6`0U#k!7CwqKvp_S{q2G7@C{18}Dg?9a%3Rt2NkN*E@y z>};Oj@)kwk#hi~(wDds#Qd|w2?b)#X{Lusa1gm^-ogJuWRk>)ao{NA4=(G3rXIuQU zYQsSUi6-+&AXR`(EIbkT;66@^1D&!yOf>{J#2TBk$%| z$4HTP{ya&-?Os;cn9Q-Q)J6W9^$MV(VkL#W1eGx2N`WII;Iw^)P&0ffkYgh#hOR3X zMnPWuGB}w2cd#mrzCLo`RUqasl^Xb?aU+=sV5BHq{xs!=het><5Hc<@7{Zs1^dg|5 zIOM;<%X-9VFA2?ir;OY{WN9}_^>_dGe|ZR_XH7clcxx5dDF27N@A5xS@qZLA(PD?u z{GY5i(n|znUVl=ffcYIQ^TnVAoM$`z_J5UTyNF*@SjI#%#-#BoV-4-aq{J25&=ZqR zoEy9Sk7Wn`7iTy-@Ugx0CUmcgg$r4|CjT6CJG5yn$kcv0l)Xk$>C^OV7~L^0lKM;~ zon~s(+-}l9zitv4Wur^bXg;J5`6;z;+2~%)a!>+@H*DM{`L&K{ugSZa=*13 zUjJraGr!}<`MRLdWNOB9s-qyeZV4rza8m6wXd~v@Org< zeYzE|OYG~{8i9YYqIw;=S^hkH0r@QTe$ouQpQ4_RJsZ!MiMq+;(4li zK6^hre_cJ#IU3J9sOK3+;W??EkJuB>qvR{gYsmyH;~6VHJPjvjPOpqzrT^W4-@Ebe zQT+Q4{*8d%`1m~xzccXfSv*v z{fBAU{CPM$N{OVieT#>nh3GR=PU{*Cot}aM8uBt}#_Vf=nHb(MOY=Cw<*WFF2byk= zp!nr1ehMkX+DDN>@EW7ycuEh7z7w3Ub>UKO9hPasWRHbtkZ_3?Fx5`_c;~ssd7k7v zr_8gcZe9QM+P|UkcBXgVdGdPM${|~iKamxXI zp{*LLu|K9i9I65z{ujKLYRRfZ@7=UPxvNz;B!^Hz9I}4^CsGwdaha1#Gc1;f1VRS& z18ksd|BG1z|2^TBd;Aw)Zx|nxXa+eEN<9P2iFGihn;IjZ=}nF8_*#ilSd01rhSo67 z`d9F_pkRNHi6Ev7qO>EmWbtan>N@|QJStjRIOLdtA3w$V9~1*iiOa5HQDTOnCCvzS z^qd66Mz90^CvJj%_!Z>)-@rAbj5mme>re_p9Wb8wusbewdsUrSTt6QHjSFw1_)G_I z;u%Etms}5HWhAaC`fW&r{$*tTZWI@eh(tDZuuvA_+YkQdqSp&%X#Z zsr9k^76uXgRZ1gQQspY8wG@p+?~{Ox&|wF?wJ@<~!>J1}tUKlRY`A1m0RwNo0XdJ! zkBh)DDOxIN$#h3ar&VoW<{-=l-A&`*^hd)CwxI&~3w zhlgsV=RuU&Y|pgS*qOmXpfXI5GanpKk3-NF-s%Vxm&()AF@dtx17cw~NSbD~zhV3~ zQgU;or90^FWlg7drDQPy?i4cghnEw*%Qa4&e=TBv$k7v;OVEYCF;8{jI)ChUzK}c~8KyN{ zMCMX}o-9M$WTqj72T)TYGg=_@B8cEI;KvFwrFX!O^kgc7+?Sv_?g=NCM%ark;P_xoU+Wi4VcPZrnSx%SLg9-)z#(jK z8NcUXw4q-9l9b-sZvKWWK*>4Mt11n46VG`iu=Bbg`q~?PT^fB|7JXe2eWmlm|4{y9 z>E0MiSsFIcxvx-yV{W4!4*4(sO$L@Uv=p&;x_Iee8C-(_1{*N<0T6}+kU&^NX4vRSFhWZDmL%#X3M()80 zsyEQYWKdv6mKQT1kVz)4SP2AnxePp}Q?oz3J+@IDm;Z7EhWE3aN!0y8We)l0eW-Ly$|-8%;O0^|Yx5;>w1b~-Lj(QxT+=}3{znEmTz!+c`H)ynS=m?ai*ABDIh5?d|eRRxI0`ao3uqZ|&^rD8RtA(TCU0jXFl zT}0WEHb_T{l=2q~Q?Z!R){m5}wmaI0Ps4G z%34?g^hy-#(YwiTHl~tzlKP0}u(UtAgPv;!9UO50Vpeo)sWIc{Juf!ItIKc6obnD_ zDp6Uh)*-Q(HDrL-8cOLE3-;E?rdS6`F^(X&@D)$Ips8b2DDuqI0Ou~3wz2`+!sQ&4 zFYjhIvDi=Ko8ihswNmJ3;aV6~!^4b4<{{ZWu@lMQY^CfOf6+fh*=Y~2#UcY#_i39q zSMu;Nn_Th^n|Q2BJPV2aHgT#-oQcHqZDOrTJOqiy+r)%Q2 zd{+|N*-$Aq6e>>7rgI^A{V)z*Vf0d*8bYO|j>}|Z_FtE7*fFtw;8~){#D`1JS@(twaBq4@4TC5b;qWUP?sp0OtbQB|E!Xz{qKeUZbVA$EN9> zLwdUx(`yC2@rvHZt%kope--F0K)X1=lLN@0@As_}SlC$3*Y# z0NM!8`;hiOB+{T{;dQb{Pg{!~J*i`BBb?^=Zb;Gf8s~MwO6xj$oml!60alM40T?v+ z5Sx1)$_<j+iW+$)f zTkJu3f)A7ioo_)01XOKjRC>Ur_bZ>l(mOA+QBuQhq`X{hGY{z)9@JhX`HN?C>FW5$ z$Wdk>g4e9@UNU&iLKA<9S5Wb#tjp1g!KY6%6`!E$g5a{-jXf{eK|y}sLVoy>)VdHd z8~jJ9-KiGxDFwM_SmFCw;n8Bg0vf-9(wc%_C>rA|jYWz^RK`4A6R;l8@>k}XD$G=% zTSl6r5uo`Nz};ryCM!7h$9PI4hHHF`l(64AzZby2W5NFi{v2AlpuXMRC_X=OU@d>j zWp%1mhZfxNv6(f*+!l6OJ=u*9GE%l=<7TA99Gj4Kq!fnmZch_ppl*#V94#dVam1V^0taSc37p=Sq?E^ULPzVFfQ$>aEA%!P;xgjuA&rvZdp4QVSPhk;dTJw z5F>Lef2Mw6!67!fc7_*%hilxSFsHuyIV0$;tBP>fW{`%SFeQ2@8Z%Fy$ni^u2CtkFkRkpP%+6z<|vZ8F|a~`@;VMJuUzsPojZnP0)!cD4cWuz zOD=9B5if8V4W%mMU*nN4}obFoAQBSm|(S^o?Te&-4zoDhYj&7 z2S=OQp4I03dZZP$N4R7~(Cfgnj9Eox48BVdC3>#~yQ(L!!H;$DD4>Z&c*_M3yRbx{ z+d1&~x@z*Z0}AW%0_p8qxQ?9TI{SF?ha6}Q_bMLU~*x1A>gr_*je_0X#i3tA_wC@q}{|1WFS05_o>%ctx zE}^abuEGF(xSj+5w=vw>EgqLw;9)f*+S*W0~crf-N(&Z6EyKv$Fem$n+@WDY2&K)Yy)Thcql-DjrHK6^R z{a1jj0%UdH(pzEY@KzXxG4Xkh&s;uc`_RMm?2C0G>z-+-J*^TEirIi+oV<;{WCp<8 zL(qr#S8Qr_jB;;HB13jlvo+AdA%F*8U;rjgU4QrW$U#vp(1(`z!iikto&5;gLdf}h z;VF3D8Ly=?LGYoi_x!up2#uMbF;i^(Z%~MJH|zWlu!t8db%=;{C?ImCBGL>Z*hB}t z7a~S)>ipYD`bLzp4PAQep&!1^!Mq%2G{_-s`b)zB3 zOogoRnodLb3yR=haNsM0GAOGHe^3$pPaODoKm~H)M-{<;$AKRq!DJWy_uP@dhPC`3 zqTol8|B?B27x>m9;4K{Bs{D~I@P$Rd@4hLL5z3>i^9%h@9QZqPDSkEH6HlOQFx4#Q zWbiPvfh&;E!Tu)1F4Z^U{S#i7je6&+3^~R&vujfQz#pT^@dA$E1?PZjzQKWPwveF) z{EU$GgoJj0c+An$KIZL=JX1yC+3TM^=F8O*<;N!x#jV8V6)^1i>t7KwI~(dYJJ!CH z=)KV-oVNcmz~yM5!8&<0YUKd?WovZG7@LCnvhU5sR}#X&GS6oru&n2ZEO2IDHbqE2 z<9cBHqW9@bB-I74uq)N^I|o#-Hmxprm9))Gn&87m!2o#~_XWxU$~wn$U$X8?ll#)@ zzO+e;k~i!f?v$KCkHLSDKz2|rQo);fUB+kpN65NxsWJ;^hqf!+#Pc>B5h07cTw>LL zKw&|S54ANE8^ zzhz07Yv_{7SketJ68L%;M;Sj;Qgs=L2YdZ*4dE0DE9szu3Vyh4Ho- z*&tILe@Kx-Bdd;wG1NS?0&a@wJy`J6W323c8esxH4Pe+vNe0!Ft7&!q;LRc>S#*{0 z@HrH02i27SBP==uU!oMcI2p(Ifbr>d{S9S2U9Hx|sWC4^v1bvRoy)L5XRdjs8f?Ic z9xPw_gLJN=SRv{s+B>bUaD3cjo#RvOZ8CDS(`V1IabIW`4n}y|lTa|Yx z%cJ2}<&83eWw-lEMdeRbkQinBAcP%O52K$`ZFtTyP6qN+6Dr z{j5@V*|8&1H;mFjxphXN%=UOq+Gs3fHkm~P45hdzrx&4ozCJ`@vr6y+6>6+9+Ibr& z85&{-3$*iLtc60q3cNMd2O&rQQ>?lLr#eJndXnq(mV{8u^Asba$vgOnnkI^{tX!ncue9Mm<_+ zZaMzgK_ulrh7~>8*%0dJNNc%6;hp}+h>jWqn(`MA{~gu>h1d0ala#ko*H@MruwjA|g10=KDH z2RC?KY``&T)~9R2fX7oI`P3QJ!zcKNRbVK_g58<&{w* zm+bwKfuzh>husJPbB`0=$&-&!T?8W5bL$&k7VE+pR;nVnoO-BXcPWCsK*4g(kt)ZD z3I(XmaY*tK>G#eGJ0u8I^uLGIJvmivx>FNZS7~ikjE6Ai6NV?<(R67Xt!4nyG@Z0G ziV0h~&Oa70S+sO5!13*n0s-wnV!MMFIjwaXOGe$E1!bLr!a>K#^dl_91shV`KLpDizsE&ub zB<^x*FK!2gEOA@^c?H=3$Ob?z1|;lqEl8`w@_HvHRRczaw+z)TI;mu(^u|iWZZB3e zrON^#yI>b!H}GlEw!>BFpx3$6=_*+%+7ttc<@7c;!i2HPXz6vL)YcZ?_G_LI+-MC9 zG6YqCe3l?D7`6@i>fFcG;Zk)1^jivNt~Xh7>6XhVhGB6WKENv+I+<#;-Ww zg4$OP5;BT$T~*0)spVE2q>{r^0hgCmTjr8uicpR!g~AY! zL3#1;kQY_TgaQsUW(-!F>L zb}mM%42~&4YcE3k=r={B)dpJ?pzT|P_E0g}(;H%xF-Kg00;LJ zU_4fYajak@dapn`8@X|v=E@?-T18v*SIey`j3^Q3*dm;dpAB_hrm8+FLONHBuns4{653v3{yBp6I=dEhMg}nS&5U8HmHh+&E6NxQrS96f6S< z^(ewP&E7@TYGC3Pwmok_)GRbg8fRDHj0KMD#q!u+F`c9qZ@|3M<+Y-S*W3_=oap^- z$ZPU7Piala?U@4AF7b32-xPpN&62klK~F7!mWEeyNM29`y;%V?IybHBK?SU59K4)e$3S(PL6gUl#o{{2*Y-b%l3L~2cV?FN?uj~O}1$X5Wa9__#+2VF*3b?kqaCM z#mFvE(vw_94k?2E^cks`VVj5X$;j>njQscDum*~eRSMBcWW58S7`ZV@y4Gdnwj$`Z z0%*<1Ed{>D=?=@ zi>s@nwdi~#ucAnt!QPD!eXs)5iO-u_+DHR7W_kvT2+d?Lzk=M6U9H=v0^C)p>Vpbf z^51Jzx8#-tBaOGGg-}X>>jcU=YZ9eXu_Z0@yNXb5C_oVb-cOl}02y|G1S8?>j6a0M z$KYIc{6`RvjU*+O%|?S^#+}-{OAlgZ ziu0>C!1Hy;B}aNLSk`Wdb41;yh?yOp66H-PIq7e1u!0D^Nd-}*Bk*WgB$XErC}i=E z_>3;PKxrzd8%;$l%2|bp4Y|8@Nd255>I)Th3QYQA{t}m)eTv|Zap0wmY>=4rKc8C2 z{k9G~m<)r&M3%PjPeOPCU$oP|pO=+UtupBaPSYd~wYW+3X zC(R%zf~a(ccfHm+!;|ya3$4;;$HzJ8QL<3x$$eML_g3<|M6*AXPX+*j~J{gl-1u?NlWi#pd=(zhjrXzP`z+hCPpy5EA!)fKSxL-AD3Org@MR| z_-m(KLW91;1?sKsW((N$v@|pzixkmt9%V784e=egO= z)B=av!jLt-D&tSV+cbD6j?p^11fYiees8=@QM>*MwlFZ1B3l^H^lZGj-grbi)f&E9 z7T^I{?mA+ixUsfT$Nc%+q}Kv;)LCCLt3uFf=YpJ_?f4=40N2JzLuV_3`bFGmlhfpa zwYo2D@-pZ#$SW1b7d2!#U8P5MFJuP0mr>>LA9K^;?uAUz?uFWWRO4kLyBDZ3XcWB+ zGU!!8%0dfYli~ql^E}OY_UyA;GaxiD17>7qrL00^Py>!5&;shoOu7w;Tn$q3hRHS# zuIG{;?x%V&v{-xkyFV_y_;h6!FcWAIowNA|u9kee#^1uDHrzvCM#!|E#X>}IKRP|7 z0>;RJJhQ1VmtjMBK^FiVPEIc3)JCrxf(x$whg>{~ zIKRFqO070wiK#BAikAAPeT(Y9iBf;FP)b#seHNlr?vD*iZDgqr>iTj43m@Y4QDc=K-jYZ9ziix{T8VEMm7(#UxU+z(XOswr7;?BZ6#l_{wB7{IVCIdMk1^q z3X#@m;;jI1`8Z4%tNj#W@WCK@yEKntltvZ?!Yda8aVIk6EwN;cBmd$SYx1}HvD;z= zCCy?}yI@%2?Y5(6?+6z9T zMZrvgA$rxQqUUJLaSdhJ;5B3$4oWSLUM3yea)1&w2iKA~_gNKl5CXLmsM9IJh)HYS z>-)>nm|5_GhFfNgo1h^dP>^b8VDw zt>&SH5@HU1>y!^DoefLp{e5j1(WX`z5Aq5}^+hW({nM+|R#7kNXJ!2J?r}^*muwYH zsUGY3<6eS_9ROmK5U%a7QeG8Ky;P|bed`3miG25LpB7ar>pIkEzx2OmnmtrmYhCZd zVnMfHwK!U{TB3GiL_3;Q?O_hE$~7H7+47K{^rixOQ%cZdZ^^s#S`@uQNw1>oK*OJW zvH`4xE^o$fpDz|h`OOQf$tDL@vT1xGiUbx+6pVZJlnpS3UCbh9Eb+6hQodkHG>s`I z>J$s3zG$laNBxyHFDu~KJ?WubX#LgULs9KxI?PUr#j()94BJ;CeJ;vXMJONNPmUA4 zH2!R-N)yMxCj)G0W;6(uzscXFQ2x0CJO^iQ79MBPu6>IW8QSNfaEN~b{;W~n1qoFwCJ$|{&3x2+9C=YSD{VjFnFpqKE zc4rfk0-N-pw3=PelbOLf)g~F1G#w>{4QJtaErIb)s|dFP;2@7o3^!{;n{WuA`E4l* zZdDb7j|yT|q1zbF09yDhShwI+`~h;xRO?ynk~Yn(_?@;=wOOxQE$OJvT%*bV{RPrO zYIt90xfb7F*KP*9zTg}bsJNCeaWg12^evr?)cnLEj?p#^eKX4%!0kTdcGm)K#}{#X z)qRRvZYxm5EM)c6WUigl#d;*2-;*1%&$n;0hXH07?0aY~jTc z`yC_-v!UFa4m%5xIhvMO3bb(#O<_YqEV$LIOfs@&I|l5K+U5?mKnD(kMg<%8jJ*?c zCH^ziKeB%<5-F0t5k`v4kbW@ME{GNeg}D8_u0&91HkJ^BgtOF9+`m2l)#c9MRw5`g zfkd7~Aj;U6;-HY{e@_t^HYoHGmhplmAOgNi28He?0Iz&8rJ#y*XNCz1d4BBH;e$e_ zk=O(fqnNPQvRXMSIM-6GQ@-lCmK5Pr;KYP|_-w*Hm{;BbOJAlgc}<~@#~)duhWCu% zF=drbN#`*E11+YlDT3O`zx$tCNTaBeX6@Bz-WPYtli|Zi>_vjR;JBrr`qRZx`O>z*R zg0T?cr>Lak;`OW`;-~6M(s8f zlqotcllG@!DKYpPI<2WRtTx7BY;{6^stoC4Kl)5gW?lO0?xp=IMIS05%%=U<5m*nF z7t>FZemta)9oR+m+lHkNz1H*>kp7;<^u->GNLaV?^M-u>F$}t-TnOE|9n2r^z)pmI(6#QsZ*y;-CQzTw-F?x znccM0!sSRrmt!8wI3 zM7T8ux_hic1i1xz2@~ceVek(HOq5Sej-z~*)(h@lp8(8y1eSU8q3%wvRKotLm4)pq zy7Cm|@=OKRaS@oJ!0fr)Vn+3MS-&e4+3WX{_Bw059zBBlz41NY@Ah*!pzC-0Czlu0 zZtxlffH?`E!0#ASQ^oPurJ{Y2q8akhrGXYI{+6EGfmNfO{4zAau|*iTpMy27Q^OjSkjge zLgX^qn$GC#kddICJG;OUQLrFc?3jR7r&zG^58S-4?ZKD9?~qA)d~br`7~34 zYLcfu1<7wvJeux77E2|Dba_bCASu7lz`k1S7gAc+E|j>}qB{NJJWT^>Pt$-8=_e7! zsSXBwDKn7QmqzFB+uSow0gMfY`40)XAw<3vIO#4{uP5%O0hXVq+)p1w?p3@2xu29$ zhkab`rX6vMK&TosVsQ@uwE(;Ylo4 zDo#zLEa(J}E!^ZTI_sc|uXZ>5g1TmG=PmvbDXo&l*}=)W?Kx%*)gUFYx)R#r*PvF^ zN#$_^fw}Q|QT*ICptV~irYOvK*mU21l7&7oZ9ue-Z)rC0v>u-w*YCeg)gj3m@Ad{N zk^$`!NLUiv6^|odp^YW(V+7o{$aDV2YycchEjGYfCN3MFPo*|FBVnR8>e08xXRu0+ z7KU)7Gu}pLm1rLEO3;eR*&EIYw6zb6>(SCd!|u9EopPg2B;FxgjqYF#N8@O4W$X~x z#zju-Z8q;_O@4|RTRY{ubMdGVSZU7J!d|t=1!|GAMz}|b5ihlA`oW#mu8Cfb_3heC zE^f6JfNJaZkkkSJ^4nWpzWX>uXM4yY81@nYR1f24GnZ1?7vJW@rm(lUTA2qtEYZQN z`r@z_+;bcI3w!M;Z*oVN3astzi$w z_G;VwZ)|6ny&AiMUp1p-^hT#%HiKm3m}7895g133Gcl;Ql?=f0V|lymu8_*4lL5PR z*EGWWp50_{Km0)bPCNH_y&}DrNQn%#Pf(xevIsV^Q_zS&w2aivD+B)8`gR-nXvJ9J zD!rwMCS+1dEAm6rM?e;dzyYtFmQc0pi$1R(!r78mv#s;XiJq`#<@UAS!jibm{q(QJ>C)yur$!J|&U%+OIW?W{oUXrqw^fK7jzsYb86Hprs78l<7IvSU%843X z^w&qW=Cs*z8tGPH28>T)!}#sglO4w%=v3;}ZK==goO+K^e>7FqN_}`+>Moc1YL~54 z!^fHSxqjiOIevU!KE4|~&2y7D55A5#M~yx?P+Z&#Kr~y#m>05If+PG1oav3HV!w3Q zMe*+nn?)Fk@^Or>P+(Qei;rk!*Gt|mj*nbAL#4cuQ3u*0CM4~-U$4yGLN0-L(|`-c z)yI(k>s#{w@`Bd5IKIKGjLB`>Q#RjbB~49Qm|&_uZ@wfDsibdeOL}|fqz@=5-I^pL zHTwQHy!(wj^iTo6Wq=WIO8`!8!@b(!R$ox3apJpA$NxpCwHQ6A_|j&{fltE!xwiPf ze5)1P@TXlPVU}r$sC_YH()H9i1oBlNouMKgvL@D97#qyYHM$%s&c1(DC`h~Ky)Sy% znCo98w=7*W+hU_^i~S7a0ua4pm&l;2{4f9=xsqz5i&y2X$k%LxRcl7xHu}LLTl(Rq zu1jx9uYL;VijVnO7qcH8^s_7aFX3yT!R`yHq?h`;5Vr`#ug3Fp-lC2LP5bLyIK#f^ zS2(PzDdH+TI;%H4n>Wn>tlnt5QdRDQC}MMSL%YQfilEYt_baM(%k4x>zuM!*n{189 zw8aT2;Tzq7ES<2rWQC>N@W&LWvHS@H0|6iImZQvtx_l(;B6}@rR7NansHjDkcmUlL2^dC~*_ zTTED^ivHz6Q7v~xN3Ldf1n}OC65Y}cZ0dtS&@RC@8G;S}s|9}&1^)OIV=9&w)n4i@$J-)eDjs*$XnYYUyzDCtNHA7 zXWa|MxFWcnk53YvYnR9ZOF?ifm&Al~8sb z-RTshvO82m4@DeP5WvIw$JdMDqjow)h;8HL_R}c{PB)*i7g;@2VNNx-krARC7|w9& ziyp@VZ)@cxciON=VmS)@9b~va;gL({vjLk9w>ZujETd0R}(3R5Ca zIQa&J%?lMje7OyaaCY23BMv(*rlN+3D@WT%!VZSFTe}@?Ss>pReUcfx=2_F{Y_iCK z8O=Al`gbMSDk11Rww9|T=-UCMF?oZKjJ#P5^|h_g?v0)XJ&ljj>>ZcGM9pHvV6j`F zy(87R`wB`4PG7X~HEHt#!ATZ?_eS^pE$FrN%1V>AedP>FtGlvA!q&%D5Bw@z%pv1 zJ}WM+$x8Hv52)n4QUG)RtFVK_wo>y_CaL3|GE*pCo(0@oskVjk=gV+z_ydO{Q7K_J zh0$-7lD=sL4IwPCj~x94LX>I6i{<1X!Y!2fvV`UP>kyXSQM*RAbF^+n`>diJYWFdo zriL~%(n-bUswXR|oA9yH`ZeddrtSV|%dUPIrLAA}AU8dt>Cc}U7pbcd`yp3W-o&p( z$G=?cF0aa$f3dt&E|jBZ8f&Jd$x84m_H6{3hEp{8De@c+=S~QwrD-gtX;?J<7ezLj zx<%89a#!@u-&0@CO+Im7JnNr0o!j+k&G?nno#rz-4o!68AGQ-ilMngI(4qsYVFpF1 z8a6@gg)aE1Ii#PhWe!QLmT!|fh0Qc*js>l~?=1 z5V36SjM-O-jOQxr>!=k6kKXw{Ybf(?G0*|1={^88W=OTsYSbY1rx$nPdj%AKK(NZ5?`oWlh-Nivd;NE})PI?bidT3XoOX=T zrMlhz8MaJdW_Bq>w>ws@tF(jJT5FnJsfE+s*iTIS6tHRvc3tC*vzq^)cMKbqeOP)y zk!+I{UAl$zw1t>(a{S?7&fWV`v)5u{n1PuRL2GSDs$$!vp`kgT&GB9*;2iEvm8Zf- zUm-=hrZ)78(z@c4Ln)D8e>0>74m$}BeK@Ct&Z8h~)g-&+5@F6KUnG6DuBbBsEH>=` zX%l&)$LZB59bKqevwo@gZxG{R8cd4WLcCHBZKLAyjKk&nqx<0w0r@XJ=&WY?oUTDt<7G*7~ zITw01USgNgCmyG=YskLQcj@L;n(`Nvq{}zH(~G4`X63H4t?34%?VVnH{9=^U9P5di zh2|}0*;U(T+!HIJeUI5-ods%|0!cb2?lG2OK`}VbRBjjEY-v(`6`w;>x488|;a-Ca zer;xO7ffpWm33Nv0TJ2nRi)Xp2xm3sjGO$ zs(4peOCGXy4E<;Wbc+cWO?zBQ(^9h^-)Gux4i)m2c7`bQ1|j#FEo*5NUo92A? zAr-}{m(C%x{sI)`;*VB)W!gVodknJ?r5(D3r(>HG8O|QP0Cd-%GU|`@ZSPZ2HR@!Z zp=br}^1j94qfoRfq)3NIdlBmEC_=SRiDnsh>ivz9(~I}Ln3`QYEx8)*tRrePcDoXy`GF8(ES2ZqM)9JlxBHO;vTqA_e1Fu*Bnbt#>aTj!8BB5YTiUw#EX$9< zS3UYG2uFlzRqJ&!^W4Tc*eJnZ9coh$PJgxQ21LD8H`F93Y!MVP>4iQ-Lnnhd)1}u; z7aBeK!x^%@r5%wMjoA4$5KNLmsTb=%Ix8Amg6(fliGE>PW>)i7v6(E)Te7lus;~(% zmRRvkY5e#?>caX5TabigA4*`cn<{eJgRgnC4!2+mT&ZX}X*2~{Sq=sXYL67pgTK;0 z(_vUyPFh~SRLDy^)3WU%PfP!Fm>_uuT80x^rp4fCiJ3*kO=`p;aiS*NNURn{VywdH zJ^!jNB4ey`IDhKR>XF?D>=(~RgUs#ngxdJL4W|*?_?^szw!NDg6{Y*1+tk${R$AmB z0iq`TM?A1K4LcBI%h4Y7J^;?JhyNrChz54*$2%sai#Sp?~k;-TL)lmfYx0^>vcpbEBnwwKv>Jq@{~3 zij1LfhrTd1o;nIL{6)Ax=_iMp@$C;o6u|^jLoihe#3XrO&AI-za~`gv!#8z$@$WB) z^8gC6;Uo`4jXd}dxE6DWoYxiq6w-ii?ip9T#LTm(V=1%V^tW4=4YC%~{*%ll8WNcx z1Q)vuuqG_#TvvRLWwWMuI#gOrOS#EQgDfboBkSKQ*ux4Ik`NbfGEll$EY26dbVBpWe>+m4JG+E4woUhrzQ`$t;o zsVKur7!ZuOEok+rtysYJ7!jdj(>5nhz@7jjwLtm-8 zvCgKJN;LKxiZt<9{#vcy?a}@lLq0YBJ)At#CtKc@jO3Ly^?RS%IhzG-@hJiuxHE2A zbo^TRi;@X~z=5IqRPo)PX4>M6`=kKquWeWq7-9;GWeD*B@ggQLgus{~H6`qw7-N0B zxypOF{!AVHx?<&p){Vh4cccAyJ$#403JbIPi_)cgY~mKjPwr8=qyh?_75(F6W;SRh zMm`n8b!e?PW~E}dp0+i{Y!^dZtu42#lCrKr zNr&U4!#?RSNk&LI5|ZXhTfWV@O+fvC7Tcmfu4m9YurcN^7MFH>h8SYW;KbO%{OD78 zb4x+s*{Z2MVRgU_H|29Xn-`F;1}JVMSus=h&o?ySG<)AgPpZp1YCOwDpLv@D!>I@O-}n?|jw?ZRqllUlEuFsq8h;{I z3I#;V)t(_*fD8&3$MDB+)o)>waUzA*L5b-$Q)SRf6K0aTIF9TqG-)Hr^!0kf@vg_h zx#=2yRyNjOjBGR-8sWM`3la1c)X<9j$npA_HFAx9W|ua9oNV=4C~f{RuXZZROyaO{ zNlfJ6qotE|PL>n$c`!0HSLWr*$Zzg$d=K0+qD9u#G;DtjrIKvQ``Y)YCRWFV=8et$ zb}Gt$2TeVLrg`CvIL=6u!crGU2V~p?mbHbgo&ljPAXd#g;&w0wGZEm|&6tBfb28>p zxmc;q%9TzpY+8S83-)sHoaJ75xUHV3kC1bjS*#HDcJ?&)?1F2V*1h+508%7p@3qdb zSDj(#SV~(i;R_}&Mmp?Fj{L}zA)muIv}bfRBB9mEjnj!WV{!aWnwYLj3!B1#nnj)4 ztT)6AV9zVYQ(V4V!L6YQh7AjVZfmH@XUyjLaZ*Knw3Nz*rJplr<2+Q&4>hltF^d;W zpG9H%EN-)sOh){;!hE3lDv80I(O1rx+YEeTC-BS#(!wprw`cvvjbZzudnf3DsqT7o z2X9m?XX4%`TP8cgan@tI{}g-LtC85G#%c(lV76d$22j|}G)O7EB_jhou`7qAeun5x z+2wZxQl!s*2F&V(0J)o*R=CAvh{C+3T^sC5cZOAnyg5TJs#G8^n;d6OgHHvmG4h)^Wq*KKjQ(%sL$RrMusGJ!;^n1ws>+tY~sLijVnG zeAUFz`F1jed-;{%h@`CG_yIPQFdkV&)b6yawAE;?N>KKQ%-B`hn}CAsm^isuZrI|C z0Yw~FT4%DFDT~f zv-dvnaHn=Crd8dNg-WVhgGgHysW~Yed*3EMjc;Pj@BjeUt$n(&k}MB|y0l}lMBlo% zWD*tbxc!u~Se@jI6nAg}29)dbwbsvvI9~!So>|Cn1C(Dgf+!^fV{ARK%n#58-05c( z30o4wq-em#Zv6LlNJrWfCy%dMLf1kzL96l%>DFl0ZvI2hQI7G3^6%RxnAOGzcV>*# zzlY4o)5dNroyIRP#1G8YSHx^}MVuT`%U`x>Ryd3m0as<<&*hlU*w^dueh;*{aFDYJnwy&f? ze|Bfh@C;f6{+su@6X$IM?#AWBD_-f?4#JMPYuKGfVmb=$iH?#3$aiBxb#Z0!z;&_l zSy&w~&~;f+^R=q^8SAMBMv6r>C;i#T$G_cw5Vyojd2Oi zsdS!Fu|slBo*0y^?X5@#)c&xTldjd6dd-1qZ=)U3YAuz1WAbOlKC8T$h3%7#U3C8k z!d}{OJ+WLtTPoYyU1*!67dbnJ`1M!LFVzQmnBvP5y! zn?-xaY$d}sOW-@LY0^o3x}a2D&$9{lzBpw@t>ba-*i<)O#YEOfZq9BE5GP~~GxtYzm|H^ab++yyY!-~0M z<`r{S^E{50-FkR2m*-c{Q+du#J=gO75uPvj-!O-g{-s>)_TI!J=4~F7#}8WuLo{RN z*>|wJk%h;(qQ7lXNhNBTq?{s2#Xp0n1 zWG*xhvlEGcXxU8yPHs6crb!93wr=4-3Cs z-|4O5!hd)x{@#PZ|9LmuvSF6PFNV~j;)speHTyG=8F!_oCYUJ{3#r5L@dd8!aIa9O z39LJR0J}7Sr8z_@P>pO=Pi4}dmot%?HO=53i$`A2M#J{Quy_d9pMXMh9)v%(s7kpE zLRznH){tp9oaPGEUA5}2yXw~Xi;RrEOm&}frmOBgKSiL8+>_w-Gd?ueTs-455PkJw zUs}x{^b&@oxq%0T9+>R1DmH4SOqlzkKPzQ~SUh*4cWSyjP@Nsar;U@JAK081QaHBF^FC33$xttj9xXK$-S5>5zT(m5`=0j;3!$w z&^2{fTgaqQwX}m%a?G64Rg0FTS`q8l>LR)#Tgt8TIr$_8NhgdxO*si%qkCFYTycuq zNC#v=ZLIMzYmGiazmcGRjrOK7s_SDcDq(_Zjn_9Q#QF!+&vtc}6nap!hhv*`gZJ$(p{0mTG9F13$9qa1SZA^xmy=c|oOe8#)J<%vw$ z(3sgKMWJfBNf(@L&q?dG-tl(P*EZAdpw4CP`k|!3hP49YRg>6*e~=c6&DLuo&l7Wp`1UMza&FxWm~1W?_701f;33C0!v!FC=(-Ow!{8hJ?}5 zZ$AFS?tWle5TtReH3;rGefUYS38!Fxwia_asRTA>c%TH|`o|;(oBcabf)A2Fx?_yB zm1Z+*-4NYiOu`n6;9G0)e1d%0GO=FnV~wkD6MHH?P9y&wWI@6(V zaeTQWdOG2~*zkVpfO!47j8?qbA0rcsVNkxZe6p}pdqFi?xUA--a$;}6@@46bNmlg3 zZ_LOgZ@3;remw`5-^l+~eq#rhU*Q1x6-*4gVeU^&L-nt$ncu)MvyivE?hU;3daI3> zw>~g4FI`@qm+8FZA=dsc>@VqvemY*(Km0@5Ah$gGBNpy-URjhDYU^sW_i0$zRGQw; zby>@K5NUQjq0B<2GM3}?F1tOpDHn(*;JqmV%0^i91)9MOjmnG5c^$?6zeU5lQZ%?B zSbwC|SqCQK#*Rd|38a|`JS4-U>dZ_!BB{3E!Ed~pMdlsoR$pN?;$4m!SNFMPu+r~q zE|W5)`lA=|M!V(C=@zRgjE27Qm6n;}iAQMUN?~10n`F+S71Srv>yQ7q^ml)?HGRgv zF(m1;O@s(rX0_~q{|?&?Y7}`DY=93oQj6UhP%cF!c};n-4$iHy`b4P1@?kN#tu6O! z7T&A@7g)#4!0wmc>uWKv`=cLzWyUt^dI|3<06~q$gyZv4w@IvG>~^j73$6f{k)?Wh zUj>YKy`p{n!DQqQ8*mxn4egN6{RhbB$eHu;E%ZgP)Ka2kj(1@U)(z9HV9A`g3eWhm z15t1HM74A?N$GF+@{DZuRQWsHUGa^o^u#1=brkJAP;RAz$}L-~8veA`>U{^w>iu7G zjaE_{7KE)z+Vqx}yWqa)v-ew@UPUvE7fC10nf(!~d)RQIT@@f>J<7K~ zy28(wy8A?KbzKlc)~8Wwi@`AjPA$7dRC|ku-{MQZTOZR?+HpL=LeP_14FaB(EX2uIh+dg4&>Zh>f6M!Dai_K4 ze6p=-glLyDDL>smzj(4My!K4i3++@hZ0oI0(E=u)m$F1cnJjd2;a->J=`C4mP-{fFlHs0uh>9$nSort@kv?8!~Y8ZyI9ecjwet6a4dccDi2Aaau7pR zNKhFRR0WD5o3LwiiP7l}kTViFfbW5q=%L zs)M72dd%SUQ&;gRd{ZlNMbcJLtq+J#_2?a^*fD@^XWyLWXF1)SC6Q^BkkVes{wM3l znNHg6T2iqQ4q@#~j_Y4v8;hfQBi9}!iPUnuKG*u*Y?!)x1mlzrsc|XPr!HbY)Iv&x zO%eTW4Qj6Wca7Jp6ygMX3YAgx?*uqNa_8I`d*JnVGKDq$a!GyDBiaGN4xtU>u>)G> zsJuvn`W4M^-^8!SFf>#e-N8UyV+pRm zfBJ#B{=~DFXL|rVk754XMA!FxRj}dZvTf7a(Mc&eS)YOw!s;7n#*Sn7Qpnp9u=+LK znV^~lHI5@OTEJKwYXPtoIDDnF;}^zTrvMBW7h|x&qF%b`AAJZX5k2umZ54q-ZrVb4 z@6ohzVZZs?O%bG{)y(8?jn*C3s&)CbYLu<`@r8cgpzPPGVNXw9Hbp4AO7sqUQy?)aO*2z# z+zsTMtZjNDqpv_{m%d6~r?!q$1<^;Vf5?nj0)1n&z1$7H?b+PS<{l+58=pSJf7J?5 z!M4)ysrgWFhtF<4xfwHjYA1(uW(`Ehmjk22G##89d2WEP4I02KJ16f$W?1-`&`dxy z^i(m!!}i%^at2{LXlh&-$-QEHE^WSr1bWSnyj(xCMv8u_$73yivs)By>lr5^cVF6c z78kF~KPr{Avm3WBD%`30k^Rx-M=Q{$ncO5=o0rCfhS(2&&c!~nL+qHb-YdU-(Jmjm zt37s%*)xz+ot{ZMY^=BOm@9~5Wv;aOKPU&B?~!+z->R;33yx#$vRFL1s!$JrJb>Ob zU>1NSX~1j%eQ7`ez_K&|-?HPx)a1@0ya# zoL>v25ALDF6OSEot>H#+qkiyAY51Nv3fDk#Q|hBW1!~;kkyTWdIQL6$3RaB zpqBbk;K&>+aTDF-q=(J_)Dz{83nH}vDEiG85>cPrbTuGURZSXdP`gym{Vx4c$2n#@ z?{Nh!F}3`jff%VxpE)(CZC*6ZORZ^^HopY|^vZH7je#1!bKm`Wx8b5@KIZ-#=k9)7 zq3VmIf%}7F4zk?MO+%(s8xO_FnGk?#H%f@p|BzspK5_dBg}9R6sX(Z&+DYRO1rY&@ zEWQ}ayJIXF+fU;SOW(XGo49I;=U5S%mk0W3GR_w=2&ExqHzvf_|5ZvvJ276r5P!W2 z-aO6QX`JO?W|=}?M(EDw5$-&qtM<4w_cJMA=a(hJ&e+Cu_Ci|)L5Mi2dUJ2d@z`jS z3faf!gy6X-7Z=U<9dDP9Zo8+%IE)38W@>0KH5vo0jmE}^Q-(EVjSjyK+Qy&L0{|Gv zZJ48<*`b~<3Gfkv=SQX6hrLX6n@kK7S4SK-P9d&M^_@dthz*4KsxNr3Vu^6j!h7@$7#MI$?KDIvU#}$ z{YJ+36EajE&AEs#OTgh=_uTJ@IjPoz( zU#U}#@0~X0YgjIY%R%Y)r>n&Ic;i@QR%!FEDYl^Kcx~)#Xl9e| zX>|O1y+BN-qYKRGUQg}r2lb!!9da%wB`99$0p?@ zfy+?mOU|vZl=3x>qoI(QKIg)aPp3YoEuSr^d`RH(84URptwYL;>w}1d@dd=mV37Fh zt>T=U?zN^40(J>p>q@=POTCvb)A?8AOfm$B;>X?`iq| zS<83z$ZY(_TEcrgr>gTCHGDu7`!QjzwkZQQi$=E@2xH0 zyIQ_)Yx%yt<$HI__nwyT{Vm@$trs!+Xphl%vGdspn{wd?QMcdB_}l!2D3dmC6gH?D zV`XFPFHE({h302l47tSLKkqghPR7Ne!NuXH$7zHs zwT!&Fl*2=cMCXj#FB$6K`1GZU@ykc2h12*6zJ0a#6KpnL8}7JMA2N4brM`Vd&(qTG zxJ`H2b#l)pA;(xx7#BA?H`c^%Eji1LyiR?X99t8+KW%_P_WalRzWm0EubC%JC2R4d zIR*s%Rh4w&>ChbH)Z`fLuD*2ZR(?kKRtTP1HO3K&@7yi=j6ODB<0b*{f-0Q95MM}g zBX+)6j976%tf0|y=Y&%h8ofA$*)R$7M9T9N=x6>bOn*U0O&XXXZ)HF6H!cltrOktI zKppZ}=?&*GYE|z*b-QyDhQv_U0r&^k*Rc_ z_UV4N%F-RnkENrU{_;a^EK`p@F^ADg zf5?G95QATA;5R$)Yh&;-1HayZ&x*k(8u)Ste(Y}p?!ygyz5~BE2LJjH(S4=^UmAlS zHt=x{d}Iv%qJecGA*K8#2VP2w>d~hR{B!y~z#ogj?=bK`JMfJ$c(Z};b>J7p;MW*f zE9^j0jlmZi_$>~ckHOD1@Qn`q;0FRFRRjN-1Ain2FEDVw1CPYu-xgK)r4IZjG5FsN ze7pl65`({D;KLmF>+cU){=I>JiO~<;yJGOW4g4<-{JI$Y1_R&kz|V@o!v_9@1J91Z zYYcp=1ApajLYB`n@FoX-OAJ26z^``Ti(~LY1HagTOELKO1r>go1Mf%QxVrp520qb& zCu8u}4Scu*UlfCP8~E1@$te7hG5Ea(e%OJ(`QCv0jRyXr1HUB(Uu)n`IqD`feQ zffu^i!!h`71OHyCdi$cIV({M@`2RTYPu>}j>@={PBE-Hk2LFYDcRTR582m~Dzt@3Z z7K6_-@EaZY=`nbTz|Hj_{sqF~s-|MFSE^oO*gS(>0POl0_E=tNp9AdN81_ShJssHG z81{g{jsSM}S3@3m38s#%ZZ_1;!E=ha>v-P8^8uc_c>a;+Cp`Ici@9!|(|OM2c`=<& z?y&z4{_?YC7mA0>={oGtIJ3E><8mX=@IIb9cpl*SG0z`(7QLXDTg>x(o=bUN$Fr5^ zJv^V``6|y3c^>CEqF&6M#KSq?xl4Fn%d>^&ojiZX^Cg}i@I1y-T3O6Jo##(@R`XoN za}&?od2Z*~$Mb!jU-8U)VKH|C&vSS#1&OL12{KHFUl@}awgTEd4$8IQ!vWbv^dRvIjDsi~H1XA1!S-ZqAeR8!DAkHF zxLBj18T!%7?$GErdh9|tkOKR4dM`9?5_?}Q9z63N51y;_WDw4KGV&%Xd?@uvn=w@0 z&<$W}yq7!_u?VIe) zjj%?`j#xZK`SnJ-mdbc$;wgG7Z@aG`-{zRhnd+XbFN|r!v(puS;BRp!=t7`er&OH& zS()s>dR9onX16FUz_t1iFY%xYaHT7=$y2E~cGvsJg486x?mjDWVFov~(rh4j$@%Sp zZe!TszVUCfI3V>|P7O5){bBY~lQF5tmuEk9xN9m@V<$Bdu>n-K#h>^TqxBpZEhF7+ zU#Un|norTfP4*qhONv+ysi=d|R}c>civ#?cX`j3C$wa8Q2u)6*Ca_|6PG)f~ZsKVY zl3yQ}*_CWalB|0}wBExkuduneCEAh@?K=Ay~twH9g^cnq0 zP9meJhJAMVyrQ5!#`QaLs>scaEDVF5k-5}PpMq?zKuSW>TG|*?Yd*~)+rFS>3a}{4 z6qzVGO{+$PT5bfsk)5A)9A!dZ4EW%~#sGIe;*C#%dnRXt(Z_z~mdQ{!4OEultlzBo39bepfkL`ZEEX&q$avp8gHQ5tMdzdd za&kpWQh>(Z=}YN`3W5*QUOPqATLBi7{qLt`^mBvy&srEnKrZFU2h= zjor@7iA2W;ljl}8tP(wOhRFR`AaEf1sQ`gngH++x8LQAc!ML+Y(tOpPddQphyei)p zy$5ui!)npQv|*L#&y23W40H`f7dyJ-zdP@{uF0{MZfqD3pw2Z+tTnz(&-b-H?N@Lyr>OBB{ znN{p91yuKbBWSn|v6h8c?;_UD=G$k;uv;0HcGx8i)(m~~?`O@j zu@RuQ*57K(cdCK?togA+N3V3HjT5ZcTOft+^i~=P*yTM@cT8#=l@4)o_1*%~(39hO zm`-^xhm9yv;*O!BplkGkj$xW<&8rvhNocs`0mrVkqHyK_5nWD=?`t(*Mi4UfZvsXc zxQ3#)w4FZM)OkI1(KYo{?~BfRoKXk)Bhs=s!hPni6t%6fYtd7D>|oV%*d-zzy^k%+ z&gMPY3$_>Z_zM%gPKF4*Xqv3|TBFV`@<`Jk^aVt5kGRfSL1CFmbb{InN`tGxx~I}} z2cgYWnhz->3Ups~f*{rpCh*azxC@e!=dXFTWpLber{V;7?_W75KrQ<5`>frMKH0TA zzfPs*7JeUZ*KXJ?Sh;Lns7>1bs*I`KmuyXtm{Tbv(>3za?Q*of9hZZni4yeJCGYFm zgsk^e9hnY-n_baKrxKrFCd`D4Y1`)Y?pt?iu-eA7Ojoqr*^v=PZ{KZtMDF`g+~~T;e@_PP04^>G z8H=vW05**iSrwhw;ES6lY1-uh0<0f2JGXiTpJwM)d6Au4g+Yt?T`WdrF)V4?;zftS z^?HV+H%8Lyk@S){Hr`F%N?ZO^K2cA=)OfC#%lT~_w2+?94UM5bQDjfN z*W~Xrp_^prs(~dDZplWF;hT+cZ8m}|(rko_vJqtVW+OZ^8$o7pHbOZYL1u9_!hilp zx{RA-CTAJFEK^nfsDi$j%Qk+YilpztLBB0kwIWkh;*&eHpcW&k`KqdcBpj{Vf@D<& ziFoOd)MF%dk3_9X!%8*P79^`PNNjf6gr+}6((jSJ(hh!+GWXMx81O-<^$<^(YjAW3g{vDE; zFN!cqI8x$!8dJm#sZh)|B-d&0kKWi!3mK!4Ogp(c6S_&`!EA){vJo^sbP+Jmtf8Kq zjiB*jR){xbgxKGrF&49F%(H0>_H2Mn8xl6n=d;3bM4O4?R;qfHBQkTN^Y?A;8Rx}N z9p*py*6GXR{P>i72|+vBZ9p?65eq|9p;y$6*{GPMt{a#d z?+#JBeALz1sQpRQV?)$lAN8bc)FD^lCiWvtZGhSp{b9a3oX=9y`b7BU)M=yC~z2j7v);jwRX zeq5;dn<>st7bVxc)$E2*I|p6`jef~GUol47f$jYJfpv87Pvf8UW5vWt=!~^}c@O1|59yJ*or@ZF-a)xX@4{?30+-IhuZk} zryR~K%W)w3=6~_VP#F$@YTx((`I1Ynd3p-KT&pL%`0b`K|h zTRgg6S)LFg*n<1*8rUNRB6orQ@CAX`;czN>HNIu&Ma{WBIYzUO+aEociTe>Bw;mns z40`fmxS?=)5WUgRZ(x7JiGB9Y+6O`N|5`&Q#i# z$9wUCeyv^apFMJfehRi4x&IKZZz2O_%B|#Gw1k0;wgl6E4YEodCseNSX=2fm=BY@w z4|<*%!4PICH8P)9+ObWz=&z05vV1vQvt*k%jdvAQ6nn;JHSbosN}ZDuLW7h4#$V*x ztw0t>SD?Az-+OrP^6z7lg`SCJJ+ntow*rk;i9QGcT_aj~K45Qh!3tJjss8s=fJga9 zqJm3QutbVlutXMhM2ReUNOX5dbd1YM_%m4FL~YV=QIZJ4`hWU9{*C26$q!=B~@Se4vqxqrqNsL z+rH>t7GJ2rpZ>!{HlAHFSl5$xXw2XHjq~o+Ga7CS1v0^6yE>q!vTTOht}%i9sq{(?k)HrJVdyx=C9~2R)V6hS=8hY_zSF+&$%v z%N=QC$IAV=hQixf?w8>Oy=o7NPOV{TGncIQbBmZ^c*M!w6sB8h4_D=x;u`H#{=~wl zZ?$l0X}v2@ak~&H7S0)zCNIrg=G;Hx7z2UdM zuQM1J@%R$h{ANc|(YI0=Rv8Pi&%H)Av_TJR(O<$H^XlC`4(; zl<`nv;-_xtF6Pe=x1A-qBo2%^#|8uv;y>-><=}MZfy4})7ouxUq2Ums))uD&W}b;!H9bEzZeohZAuEe~q6e z=-uKh{Z!y=B^181enmIUlYV`fDG1d!oa=(1x*c+osE6kWuU1v)7Gw9umtDhyVoL9| zDqDD>H12M`i9)hz(VImDGmC=NVw$nEJnz4+;lKRbHI*~57lga=UCHcDnJSU(e^(FSKtqK5|W^_K?vYn@1R|YR4ov z81JO2YJcJ9Np<~E?p!3HF8=a?q%6&&0y^E48y7{zY*S1vu6~N05!!IJzo+!()jf`v3}D91KmrCjRwJ z^yNqF#E|D`5$|Qr^A&ntGI2ex)rapb-2o$qDLM#L8dThA#ZP<{X_)H*e`+#zvUBnf z!JTJJ_2^t{zUN<0Wa-6gEbD)eP{7V!c`;PL=qDV%Y$AxrlLwQ!6uC+V#E~@`QdHS! z_*Nq7m5qj<;+qR7|P?O9K+DgDK>=_w$+?Jy%Bg?;ZSSxFm+@?}k5dVPhEOi+r?M?p!bE zKi!s4XjR%S?vUj0I(OCmVDy7?oC{4UV!miJUWJUF+52^974%FlKNgs3aUib6q(kdi zpP~LjeTMqe0t%})WjW+#R{>REmGOZ3MvBoZaFTPwh!h}IMs=rXJ%aJD1{+G7%Z>h-=$6rR!^?Q<0e9sTU#h;P%X^$trjMh$z`M9vPR9|1Z_Rt! z^2ERqzO|^ps(dioxD4Jl-xTL)#+l8csvv_==`nxE+9-#tQDRZxq?25$SR<5%0#7b? z>T8ts#Ke*j@LY$J+CEBetS{V+oW$z`|LGNeT?_$E()`NHuf8!E+IOt6bf;m>%hb2y zYSQqe|4c`e!wa%W$0X8BEkEXKjIrQu8GpHvSIbbQQ_x9^X@jspKfJ8RRzww?2`t5e z9z+8n=mwL8XfNvd)Ctfp63O)l#3OUi*r1Y~ik~nYR+bLDcpt_I_)s$>z?vvGU(tNI zqa<;HQ94}C;VLqb7m0j2-FiK_Iuw_Tq&pz9OY6<@QTPGBOn`7_va z16EDyeUXhBm0Hz@ryE5|aJ_!2aF4o0oZ6|=R$Ll?7|RMyTiGc{A3OM=(L#AYHhwp; zLQAu_$x`k!oulA=2%YMy_1wi?cW`%U$D0XMn(9O!hZe-6AE-92IeFj?!rIbvY}=8TQNGSTULYq^o*I)q>f)m%=sa^uCA)t;i<=%J9-(~vJhh(DutxF_B0>*EHwFuGjAs=A@$c#nd=oDNnFB5*L;{0zH*#;Bdt#pe*mbVg2fZ;|vpwN>pn8v6?|SgHP0 z3T+0)>X?K|d}FEOqej#F3Y&zr`8CVO*W7UWV=VPCK2F^9_g4EB0WbTxuWOkQ64Z1w zjcC%}8p));HGD~b*IK?cz>xT)72_Y>f5lDJcN|r5mS$g3&V6Dd9a!95sS{BbwD^Ws z@n*|t6i*%4NIb+JjLtmM>+{xrL6On%woiaF%O=DqY!if8-1>yO6dKh?)(%C| zoicdn+0$e|O3fft)iF{EWJ1)@ds<)Ca|IdF$FfLI2dz|dr5*FFH7fUK`npOLy7v^b z8HOhFF3~}EXvLRK)1m!tB5`-8>n&IyLH|O8np$i+Rwcy{?*zi^h3|(i`Yg%4U&|FY zgHNu>C$AfBpl@LsOTH1XaeXji%m@_ z`fw_m0BzCg-O5y{8FrCGTHvbC3#9j$hx{2qu<(*psCf`oN-+5rUf8~(D-V?(XP4#0`NyeLl9(*c*{M(oiVH3H zv_IMx)8kD4WVzl7EuWEKPV6?3u=P$g70}#_HD09IY7jK-@~s$y$(~{OBiC-l7_2S) zcNT8N7_6E6cUEm#mkJ+P)@{iLVS!N^BaFY@{ zdbZej3{k*PaEn!BMXbLIE8=JascSdi!Y+HkD(+8)_5B%?mX*A*WL=jn~ zcjF?a`gDx5^or+^%tIEEmjy&zRZs1o{_nfSGqkODM*BiJSEs8L078 z#EII1I9G10z@zImU3-^mJ$9HSVV`eIR zq=eJ5Knoj;PFm>9%IUSOvh~SgZ97QLw-|pj)v>u6nv4>mQGzZ(3~R#Cs$s9uX_2uW zEIz_v8|$4Ca|o0!G~530Lgk`^YGTEmB={d{VTTE2lTpD#{%G%-HKBuTi}M_1mWIX$ zm2^uutX)IwPcuJmh!WM<2jztcvY3i~yda{a&6!V|PVS1d9APoZahw|zr5elaVc zYiLb>NmII8H2b4uV&JN>*572BR5naHS_hk=ljOXBj1$TE)Zal1M}{L}F&u42iw7jx z-s(GzaIq<{1=eeHQVE^)!NenD@eqc#G!%ct#vAui#Pe6gbwdpn$C>d)S10eR8E;ZT zph%228m2Se%yuXwY*9eksK6I0M<+j89)oT1J=B90(wIm|Ye?&wL{{W&uQ%) zU9jYNYeGbqDQzW0no!zGvOt{{?Z_OlU;QMwUZBDX*fQhqv#1la#!aG|-d9YX0Ry?N zfKSjibP^8ip`5PdrJKKLv^ea>r?tw^%p9SCEG80nS+e;bLimkEwpP{$!|{4kbHN_t zCB>VFW?ZQQHQ^*q!XXIrW&8QI5&WIS-CMY6+uJgW&8ou2b<=Pd$OuJMmv1RX%B%vv)>z!yH(uM9Os@?gyozQ$Et zmGrHR5}0q4K4YgkbIrKY9V#XaTI938X>(GRz2ydvp~;%RfToGDBj1q}U4?Rm_M#Se zLV)H5tad50@fR5AxIfl#xdLNYS(uyZj8nJKHmD_$DJ+9=xW!&Aa zb);@en~%vmZQ~h@RHzJYWW#@WR(!_Ckz^Z#cL|kZn&p`{AsVut05T(ByP$B$yGeV=9F9Pi^P3r?ZTQz4 zDw1TJu(={Hcf=BUgeC0w)K7k-rk`0Ouhb96ACDvVjrZ}-aP}Fh3h!%s#`wP)r$X%S zeGf|?b~gXwz!Cq6iN~GI{sTvR*Dn?E83&GdA1BDzXgym%CCsZKgt_4~KY6E8gNL>* zKBnZpYMC-wa$0f6M_3;+Ys9T68WiLPLHvpltuj|yB^ck$ha#*cLg|fP;j6Uee*L%Z zf?nKK;8k!^yA^nvLx8jF@rI{Zb_4dGnnO5;!y+Kiv+e`*Zuw6ecw63G<>}`pX()cx z21xjjC`7OC(y~5@yen7qY6GCIw2W%+dZ(UT#x9M}6xV)Ky$}`}s>rJ_Phw|*ou0p5 zVq?96Bth7in05Mx;pU>zBY_mJf^kOYP~-4;P)@wk&F@dKargji98!fShppc>{w8*^ zD}HZu6~1%A=l>&)8tLox&kR-6Yq)jOma8H=vo>tQ=bm~Jq#0@40jqf3c&S%%%6eQ` zt9bpSxc~#*Ni;=$1-Ad^IZ{Nwo3?{j-&|9>nyH?Kd$g6jk*WRk^P?pV)cTDZ*&i*S{hr2L)KdzB9mzkTQKgC8~5oA zoj_{V)?}iZ)IguFfvOeCwL<tY#31!i9(qC z+<-4#My}Qw%LbxXa})-toa@V~ihw$q#Bv4I3u*umioxjYj?u|C8yx`A2dqL}c@Mgl zgX4rch4n**i2q3~cN%Xe>xDKwB6pUGu6mYbM9uq;c%3Pod;o<-U^enrx1HLSM#`0x z9@~NXfq;tm!)w{rKS-x<_#4#ThEY3s!vaFbf0+Unm_NOE$p`bS?PQeQyhwsHO(w<1 z-meBhA6p@ZRr!8jm#J=ko0W+;&H!lKP0tu(MDI|n4!Z*eo5!|9N^cOLc2u!eK2>sY zjgf&Gg$(z9UGZfGg9EN!hodDNU}v-fz~4U(-$)x?luWFu6D84pRA{;QSMbGDQSW-| z=kMj)^6qaOP2)9UY(e)=$nu&&zUTK_6o~ANUJ_Y_rVz&cy(OnFQ_Q^RYl>W$(dmFEmci3uu=qv8|~8@B<;(Kzncz*@%^D#yh4RsG)__o8wg>s+4-YgNZHAsUkdtsqujKrWr@! zC1XpqHMqw$gJl5 zbmzvG*au&C@nHar$v7xuw#vU2cqIn_VlxPJvFp?GvpdA;?{Z^Mzd)lt4O<5_Oo#PW z8;-3K?^d<~OW4Xvs630YeU2i=<~~l1 zvg+29aq*OQ;rm!>-$)H@jf5=QSDE=_(dn9EgrsJe_cIG*ZJ*l))+?zJQw4W?FYIkB zcY=^CaSuzA>^F>ljh7X*HDgd^Vz=7b?9qA8+GD$Y8~^F+#D~lpop*b_@jZZzhxoUz z)6E`T5)-y!VMXB^N(6))ynt-%?-V2^&S#?RPt)waiG~VPv{1D+(S$6)l@pmDO ztRfNXk8WmRpNlmu8aD#T54s4XLh`eMDK!OyvtBP9%9PnTL^5?30=u`k6VT$B`Xmdk zyQVl2Za;6D-?;HAt6wsN)|K6EA0<1Vybli~naiZh^01nN8qGi^WzCMTD&Yi!+U>Fh zB`#ROCzfr>-KhNzh33-czUCV`3YzZvL+ayu#rrLlzr^OBvfJ~&0v9`suhRZlTD8@0 z*l9|!GWG2p!0;!i+Oi0i$97mmlYS+81aR~@28|pAo7jW&c7%X8wjljnt+?nl`GC@h zb*MU)mbWlts z^YuW3ZJLcHRhhdLRmmCL&U4$I`uGl+YL$HAn5|6*GB9i$6DUaeZbfx9gqMAi z1qRBB^fde7U?1g6b{1JBr*;a4eH~2uK35ANM%u1--A-ThMow;_LO4U4f>U@n zP6ff%s`S%cZ>3GoVG{6P;C-A~jY=v@5d1nM)~0RfsbJ`&Js-Xk9FD5tY#7k`Nc|xittFu(>sb63BcLAUC%L$QwZl%o*oVN}wYk*W`XeT+R|M76+k; ztmuQ$sxH_z3x!q?2@Csriv^f}CQS*V40rooh$g_`wMfJ);ZY{=D3VxlkkXGv}`X zPkPdH^ooyuLlV792~`a6bmd2}yr6?JAkfb6vh{x4@znyR_Te+7rV_mUrQJtcslgs*(DSH^`uJa~(APNcgN>xVS=_*;@ zgtpmf6PS@R9L;4?M$&7a*#zqx+;6H#fv}l(+M*T>Lq;Lt=MNLo0p^?*W=@bMXp% zaDI?{i+KqW&OLAsoKuy7C1DUb+lRFDlc4|lr?_oS9dfYUo^4F?lX^%oCs2$$SwD35 zH^Fkf&KkM6ahurRTBP76Rofr9>ETXMW+-j*H3xyPX=A@kK|-#Up~LSu;+W9HifR*G z`f@bEP>UvTCUSBNo22lc_W>t0 zQHe8CY4@Rp``)+LLe0nZr#rNm;wJSF>Efk*489+shYoW}YK0QG(2olf?|$(a{U{;R zd&;XC-*2T>9TuhtQV@S4x)BH>TW1mbw7QT7xArN3Y}JPi5f}`+j8lbs#hWPHP0C7K z7S%+8*4#DMbttWkDg093HeT4eFFWES78>hO_7(Pm-r<*W?xWVs;p5i^^DQGby*Ai$ zPXv3iSkv+9HYW*O>}ZdJQMN)XF%?6?eg|cn8*w-}JKs?eG7%XBtz?qfEmL0dx$cB+ zx4Z3y%h3XiJeYT}HQ%->sKP!HA#Qx!M~BO>k>12rmHR~Ayvd~damqwBd8)h8r}}sf z?SQvgIC_ZH(=4z~ha}y&9eN(82>rM#kht8ID#n-Tq?1;-=@F?xN#QR2Qev?CkGNqD zB%t8y8x*Gptyeo~>K0q5tEmzpiB9_uR`s^PKG$R=0EW*p@z1uAE;IiiE6K>xwvjF? z?Rb*bzEK9COxsaKex$g>^;fQ+4Fjs7@PfM{V^@9XWDmut2GsC98&Uv=N(kuuv2*?vl!_S#<0mE_P=wnxB9*skE&G}qkLbk zGCHGbl!*|}L9(50j5+4=Hs5O!%@o{NXa^`T-lg))!cr*-N?TY8^W}#pNds~^X|2sL z#l{SIdG>txSLWMr$}*;wB4o_|Y3q9jgqW^4Kz&=?#dUxL9z=bcjKuYQf=mlv?psW? zXR7%owmzpmNqP4}sx`rb8Zzji&CnZ4Qd=vWHFy z0gnSRy_E&D4BpI7UfOb}q^46i6;`ZmwMj2#q^66qDqo#0XmuXRU-Km%XRma|fz2r4 zvWl}IqDmFHHsuYSn#qp-qfC$;E8}qVWi91uJV=wL!g^wz8z1~j%X4!woIUto1dGo2 znrC>QJ`?L1H)HN)dVe?@+X$+$Hu$||C* zgt4Jwn@6tRT+v?cKL(?52M%IjI6hi87t3&Ht`-4po3Z}%jZ)~$814V&{$ve6r?b~X zdmK~8KQ87_Gqw05Zk0pQ2YrO+^itOgzZL)6>wj14SJhmbatDyhiKEj8Puk9W4VV$@ z_P}{Qu&zE^(|Y?fz0P}`_d9tfr;d`X$wInbB-@ren`9$S=oVAv&c!nTqJjLV9V3yR z1)-2}$6sxpqF7H%A4}auwOO?34b?WHkLn=@&RM_Aj7${lWZ{kB+(%pVW!BGPvwm#p z7hHkd#T!o*1|VRNfiZdvObHVOgj5uwf!X58g`1jpd6toqOJ!ILrD0?xH+qrOxqMZ$ zD?jn}+{kuD_Y;AW$%~B}d`sxJto$Ji)8y4pULwn9Uf4u|?Q{Y>`#?z*rg@1(md0kR zHb-S#Ah??8r&+cr`UituHmG_Xq+T_3Wg)JgPBdSrJ>$%*rrF2S)|>J*eVI<>47N^b ztQH|>G0d!v*u7$|B5jJ`1;Un8?EXx}CSfyHSrs-m=4t}?98|LHzFvJr(kN7kH*_J- ztH%t81VrDtpSA(WT9z;kUM0vF)dg}6u1@$YJbF|x@^|}CQZes&= zxtn%`LW+rwX9IQqH~dK|Vd4>JvY7=PJ8l|}&mki9nlkWh2-vW-=N-&G<|JBLCP7k} zGut=kRh&Dzl<8Gplv!QezR9iL>8h7**2GbJlAR=xz=G(D#upH^@WYv+qSd zAAJn2+_d-MMY){3H#JdhhANy`S-SB%oag%5lXZl%bqxEXqgJ`OcTJa&#%?mQ^FE#@ zZ~u&C$&0~VHs3y*68-nfl3#UDWvO>4%S|V_veeZtoqt~EvRtv8vNXro&6yD!%%Cm}yedZ9q+ zOVIk%P1a}cue;;k*oW&Rg-fZnFIr!nm5UC2q2r7{Zwnq{s zc+3(VOlzda#5InV5`DNQ zQ%_eGHDv)HDbs;0%=Z|E{)C+r*pp&{9Yc&qPdC;nIBNn?GE!54sy(&UAKl~vwLhlEoqf_n+||wFovnBf2aed?gGti0E-AOo%!R6% z?}u{N7LM4})Ai`Ye~`?hETdz15fIO;y+YtWTh(t-~#+L$6CDDjT1#)JT>y&9p87uPrDsWe zn1-+8soW)sHr-=-YVwwzaXwc~?O%m%+rDT)k2;3U22{dlo})SrQXZ=|&ynY!jdmkz ztH;J~X*!}OS9;S2z!}q&95p-l#%nv0cPB@CL0xsC!JUI`1a5T%t}p`oPH+SYC<1q` zn2EsmJqH3+opn{G&Vfg;Jn?6;#C@ljQjcDGSCHfjc@uZD4ycr^qt~{s54L)iQLUyG z#zkH+sDN4=UJNP#9b{46MXWePyss~D&Gh;X2b7G3-737gThj03^0HNP$E2DDskceo z8ZsU+YbfVRs^3bzocdp>`hT{#yOO0OL4auKQW%{v%2PZ`S+$!U=_`tq;%;_J)X%uDKDoK4Vvx-}HT_ar z1kG(Xw<;KN8MSe!-iz`TX# zl$g~kH%Or?tcNek|=0DP@JHQXb+`LRn=F^rp|4r14Y^-?*3>s7yq2 z7%*VUqJwVfsT+q1_t;U4kCrYiY!#Ak_BZd96!lJwEzY|mA_FZF>%NJ*@@gd*NT;Hh zm)~(X@5^@|!vFeqf1y!tH2$d0^(}3lE7MuXl#~;K=Pj)-89i#bS^ZhY-pCkjXS(2) znG;qgFT15gwr}f^<1zZr8V7Nzw3MN}w51)kM8$NrH~xE}`*x_oQ6;aBm~zw z-LPPAgA$F3vSPqRP**`41bH?Zb%Q}yL=B3vT!KL&L`X1RfW&|jmq@JE`z2a!)z%iT z1wUGYphQKbUh1XVqOIkLYZXN+-pKd;J~Q*|v%3M?&-eTK{qYMV=b77?GiT16IdezE zP_(Uo)t5QYdRRAUE6UO2dPr`B z%LJLH)iLHwX+8zXrJN;41K(hcPniGu9nIMLCkaja4 zs-nI76;8sp6}>uy+E$00#Spq!mC;d~?0WDDijpllZJs-=y@y10eO(_o?VT_4u|0aX9Tg#OBPJWp)g*{pccg*__qIte66uK%NSZbY}}Csyf?J({h2515C6k;zh;q z=<}3ixzsC89BHEwN-bm}OKQDKN3f0dbh(ew4og(itj zzG#w^ORTmIE1O zmm{$1F?cHh(XB6(YJGCct(Nxk4H5g9O{yLI>yq?#5HaoGouJBj8<5)Hj6=@7wgZVT z?I7f82RFDAKgGms2Si1Im8Ruwgl~5#ZGLJhHPKVD2rOt05HHyEC=Ofj0IQ*CRUvJAXW`(&>1fvNfWi6ZaU?B z!vWW{4J1$SInvz!dn?o((uKf5vC0WEdmHak8Da5xA9VVha9t+4m!g=5=`!RUN^Sxc zWAyf}#dnQmq{cEbxk*gJ29EF?693I&zylBV;__fqYW*14ZMYAO7Tyrlx+<%R*>BB7 zC`mWf0|+bk!@;8C{Uc1Wf$$g_OV7Ho>#me*7Q`FHs8U1N7-q}Ga^?g>75wWc{pHSk z$;%s5W;i?I9$&@PAPF~nv(K4YO;&OSb1FV)jq~x`IA9!550ZFkXG!-!MP-oj+{{N{ zImauDrK6~G?%VV+f9W-7eneZnFR9jva^YkOZbp=AJLSsRS&yQXbns7;hIPpGL}%XNf%JEuy+aUQdJy*2i97 zp&`yJd$))1CaPo^DPW#0-F$W*5I%*eC`E9_{?;0|uh7Y6A!1!{1Y zfA`;H7J!0Tk91_F|1vNWM21W0dx;AmD~R8be-+ugVUpglsUETL~84C9ZDQ?BqAnq18qj3m)EyqfmQtwOj(V=92SKJ z2E@_(%Jd_Y3z{44GwzE@)&wru#m7P(&_U7Ruxu36 zWPA5}5T3F%76KkUJldw0rPgd^f07YD5An$Z)j~nPT-N||q6mrv=7QC<-d;5 zS+|9~?^`n#B%{TI@$F?r;v1_2zHKZDz9aa4Uw^Zm2T=i1H*&Q-wZ77b@&+LMa-}B- za!8S!z&ga%xlSM{x|>m`Wv zlw5PxhHlONdK4>MMs6#mg!cO3n7V26y;+Yye)UPV^CeGyNZiO49L$+0YW^9BlWMl*5rzlfl( zZL=faO0k;T1B`wTLV7}#r>l9vTh|sI>hXN@EoGeoXWWVBZe2SI2qk1>6cSZxFO*Rp zzgqbPC5U&T*PS62#Af@Li$NezU>_)JLFxqGqeV{Jimu~0gTc{+-|oxuio?g`N@3Qx zV{AQ&wN+Foe(Ej(I}en?@3%DGsZNlI{rNEQi@N>(qWu1$jd6*$5q{;M7@OOrRTnK{ zD2f%auM9IQ8B%Gawq`b?%7c&cdF*~x$SgIzUI#BU8ZU>K4yp0=l_V}UTS@Igx zV>@G^9$9+(P^vFs>O(WB*DnQJSu2bmmymlbyt;)=mYsdU?5 z%nvhyYM~))$|M#BYQnwCt1PZ2h>)OEteMi}8VVA+greh}tVd;KeTE?ulE)>D5$noj ziu7HYQxLwm-E(+m(GE0eP_#neU+lzvBP;F~hosmr5OEK7;{G}-?(?p=#fba7*e9gn zimbS|>bTgV*EAYz!*KYIn32&lVCOk0%d%2VbETvjN6N=jDZgMpCgtvvm2xOjuBk#5 zVRTtY<$}IqBLW@gdQ ze6XRRJRxsrLXL`@_@lDopMm&7GNM6oWbj4|d`p>B}OMM@LrlKkDf6UW`15M$wAM3HWoTqM7rF&9rj4~UVw=NtzcJ43C|(Jc0XlJP)%Q2Zi>sk@ z?rkz(1oY|HZv=KD+}>UV3%=+!UBZ1rd{Lo+$^mje}Nu+oDIMVAd!jiSv-k;qE%U@8UX z28$qfr!%&ZvuhD76$Ff-90}jo9e$BJJXga17I3AX!0@s)(AOSk(m;CsFW#jc34=@~ zBAM^a?sR*(@QzgZPIHHUIVeTfNR{uQ?(o+cUbdz$^UcQ}r$Cn>U$mv7FK}O@<9VOL zhQSgDr8T#ne8S8NoNkjFWB#<4PFg<2gaP$|vmO!DZew_H-974QIGx_u$)^_ELwd3O zU;C0U7@}$0g!=TsBI-v&L4ZQ-tf10j{q6viD|wT-asfzS~#nN zcRtn8QLk(a3j1VZP&mK-kYvOx)#MQ+6h3B_(C(*rvAd3&@RNg01nEJuBlMQDQsP`| z7g|$m?btQMwRZFiZ_{Q{EURelWF2xdK%L2-b4Rk50`s;Q*LYcBoMT3y#huQ0Q_Ld>Rh%JCs|`}ll$SG}bTx;S z5(be~7x}3fP}7a&kOaq2r!2SmM*3ZIAQAgw7RU^*nT>*#pUO&?rrel$M2|H5MR zg24+6a;&P{D5E;vMIoRODyW=!MeQG6h0%2jw^FSj4Q>7Zz8M;#Rd4r#j(&&UMn{AA z%Dm?)641bE2UsPtW{iod6XqIT>~y>Y+*k>W9SEpw>pvVAD}nJAI+1g{qUAYkF~b4Y zvc#F#V)l~#4Yn7tj)cc*e>AlucBo+wCHu@KB;_cdG*%=AB750*mfD3DWT?tO<$GG9 z;5ns8`~8Ru%I+V;aT`YyWR@yZC*zX~F~b>smn=GQ72`z}gVW|}!`w=B2Wnf!E}*h{Kk=DJcX zVXA1Gs#i)RSzzB%sOe}~69!4xTqfIF*os@$P?3PvCj1pzl}}ECJOdF${_Q&uWX7;x z=eTk!6dGk#fDvyo5oLc1CNrCe8zxSZJJDbE>y5;(u_uJnn$&V?TGO>akLxZut%(Kt z3t+j?LWw{rG*a|YQFui`j;2B(C?(}*HO3iDbVMAaIrpe7l4}*x{C&5cCilp|R>eys z>8XV4v~Yd3r|Ro->lXC~oiUoA-K8v_lfv0=EfF|Q>)tmlf)K)au4gCk?901|kyaRv z4$5=7vUx$QpI52T859rN?+U{(g|jc0u$(9ftUU~a7gKh%K>=|pxJ z0ks_qESsyj=hU`~L049gh0h`{W4&Q=QfqxP(~7+$;M`>9ycf?4mE-JF9aVhQM0IZ2 z`w}hzpNezcW}*T(Zj?6TOvQ3TN(?ew@*)QVnK&lqbxlF8q((wjVT6{W3@z?*Rm>dNj_NEzSS3UQ z#7HMgy8y&YDm8;cv{Pqfs0M;&aQGh4YBIxSGzfXY@Cx+4;i7l*_bz&WIk2~ieFp8W z7hcLhEL9n3a%HXF_U_@_+S684PrRmcxB?j3>FT6#!oa)@jDdm4ZrACRjddyS5v0u* zWuFX!N>(OJYETC58ZR>_L;E*g#^#K_fT1V|Lv19QD1>8_J+owq_(AKWI#KqK3uekCgSo zuraLo-Wc}I7hu?ky~r?AS1uc_10}YPhqf0kb@4<s+ z{$>07!rk$!Klb?vzkG7EaW_mGsF>E^FfFyUjQo+UWp!jiot*a6OjOb$tWy0frtipH zmp_iL=Uo|hdskq&SReR^h^|HKI;?#ZdN*?gq^uB9S%8CBc%+A$b$B8}D$<~>&~Ju7 zXeAuM9OFej^?MNb0?Qv_3d)|Uu$zoCv%>KH7%Je$qD=sT5Nge5;Op<+YWu9r$>B^Piyo0dL~2ZMJ`@Ul6-WEvxrS4NxPmX z?LJqstO|Q>FmjZgHly8c?!g&{va8)WbD$9z50X~Jy9wrE;%(dr(FRCV%1Y!0moVr5 zF)v&6Op=9$DQ4f^UvUU}KjZ3Z>7>kDC}b1$moWp1`AckL=DB_e=ITWSv0~mj2bt`E zHAT*P^04V{c_%JJI1+V`#K~T+Q_T2F4-R@}t}&SWs+b?9IZgitRUz(nRyT?hLBk2+ z8yP^4Y>b4RZ?0?ASBiJkH<1khB>1MFlpsO+5p1t3_0-FN42LOj8Pgu5C~j|lQ=j6C z+sil0%^$(;ivKI`#bN+Z7&>;_qm@}2F<7p<(at*+am2woY%4lIQg_*JpF)4uc`N3* z8JR-$Gxdpd-<2i0SLj!$=9zxhs8 z<=o!#GR-Mh8j(5C?>aBF%caMbH4#h?c zP2Jc1v~f!_6B!AT4MDx@dKOa$F~Cq(RIs(IbWMzD=5_)xEi;TJxn&H?0TLA(nYdAE z>L)BJD;T`%)9*X9oyAZT@Ic#E5-8uY)}-jh`80Q;*Zb}wQ6d5xQfO=~8=a|d(&u;A zJWvQDY{daT^h8H&!6exQzXnxmlB^ve>>XAUx+Tnbnfo0hsaWkSID`OlX<`}UTs2@} z;&>JlZFzJ{rzoP(*s_8pN;`>wDb6nD#*?c>ZDUG{WDY>DNN3 z(t5NL6wRj9C$w5FT5njBN$ZEQL$&CkZo`g_d^EST;`|X&IAA2Hpyp>z)P}66Hy~DAUaaoYE}1LXu#=1V%LWvA_twX%3p9 zW#56(RMu@pWjbaPCROYL=56|R_kK)h=%6>yc0XAI6Fdlo0viGPH+9Hx8NyJ;a7$-D z>G#s2MWJ`I5GScJTIb;}x3DB27AaL`DDPV^f58@?1p_GKP^1+03ktjY!jL zeu6FHMkU-ZU8Rw4`c`=|7h134`3LPuT#o0x+EdzwiP;8EBjLCQT@D0+Oqc>%!bc00 zMMVy=BS7qKCH&ea9SPs~4^zaibCD`j!f$bc|1811OZY>0a#wLI=EVOMY_^~CQI6fueztJ(JZVqGKlyDCFG9`S^ zz^ea85`LsZ$=V#3c!)Ih;aSt&NOO{!xP3OcDA6;;%r(a`HW5UaP~5rwrNv_{nJK^>z$WL1HV4w7nFv3 zI~B~IsQn8M&`SGCO=tf@ zh4}zNmhk-pgvowOOmn&RTW-OW2dS&F^FdB~@`^dY&QTrqpmrh^#L9VI;R4^$NQ`Vc zq3TBOGU8kWjzjV;B*cBG61x=TbVh`ur4}K%XF8d;_IxX4HYR0ivJzjMhnMwm%&(FI zJlq<|Z!f^CQZk2j$L}uj zV-EF>-?ffkmE*UFer_>vcq06830?E2Yf#BB9S^w^BrDUgLwuH%bP~=?z00W=xKlS* z;h+{K&>)cEwV2oP*f`JysoY&cy;7}~Oq-bIXz669tEFf2n~e(me(ZLK z-&`Uh3swWRGO(f?8v9Jf2+ z2ai2u9h^k|o{^wn%pNGjdnElNBYX*htVNpDMzmcAxJ>794U4A)04C zLUQy<{LD!Ourxd2RS8Lrad<@SV1h+VY#vgtMBn0Q|+Kk|wwy zNxtF{vH-6psL?aW;Ey_25%k0vj*#JEVozY%v#{r#1u~2z)E$m-7Bem@0HawqvR(v2 zTq^*w!fgEIi9vm#c#Wi`ocqNR z1@Qnj-tfA(Lz$^C#V9hgFCLuNT8y?psoG{;s_GuuY7&03X59A@HSxAkt~nZ$Si1{v2!JR+X9F(d3mK}Jb3^L%{ai9dar4g+f>I#$lv<9>iAtUvcJd9S-u)gz% z7{QFMwLn$(G3cI%I#X#m_L*t8XqD7gkf=g_;mYh*uc#(a(4<-ruFPbs@S{~Eq{Yxf zH;7^;@=Js8@>4wq*>EO#RcdGlX3&l`FE2J*$n|)ISoh*SpYog_Z~rYX3@+MFFi}T9 zE%C)*;)R*f>R$u7@?cJgKBk2J?l~Al%hYDt!v|UAi!vGJd`(e=v2m6cGqR$H8#rAU z0!P6<+C99M6EpLttu02j_K0QBq-<|m-O3Cu)UC|yDl&s`RH<2V2|yNoQ3RBloJC;J z%%L0VL&+AXz1|GyG*eNTF1nio4Y6z`7y=W0)-Wx{rBYZ_4I-mvbV}zQJ5Z;(96w7W zoC$#>sr|SKlP;rC5Sg$V<3gBGvO-M+RV8IqkG(Tv3XgHo2Eg`Ix%@_Kfr7v_w>w+P z+WHUv=vzG2(LDN)d`~oQUC$Pi5=zV85HjstwuysIY{fxgn>$e}JbjU?Mp>}par>&- zP=vTpm8?+4^*+b-RIgIE{_aC1YZA!HOY}7tSm!$N*GYV=zv6I(zxx|>0p@B~#*fY% z$VUrgw@?kyGdebdg$<>0Km-|^qapt8$NyUt*!=)`aih4zg(5Dw8g+(ua#UfAw{JXD zuvTaT(*u>SAyf{kAQxyuw89j**njPmn0q7Cb)a1kFWy&po9yZ zkibIfA|9cHP{SBwsk!M7{niktT@3^EcXSjxk=+MhrK=XuhMpFGTSa$QGzO*8gceW4mH@) z!hF}4XmhLyEt)4+mD+Gcf^0d~oBBX;(XT8bnR|kmZm)}0S3=W5c9HYGCg&Bq&6%Ns zv@~S|Fy|ZL-+e9qxJZr^UTY06Mpjt=X>f7&i5?Pkl*|r8qD`>!taClK4eI~ z=Q;fPQKxqTZpE)Nk)c0a{Zs0JB=gj$^mw?cU?611Pm3X^es6-@`T~NydY@(+Z37Oq z(H@aTjOW0U-sTnF5?tY3(y~LHAj4S=2*v@*OPx^jLjS0JudI1g05GX*p}aWpOc$5T z%+m@(+~HWz(&0HKTrG{J*$-*uD`g67YA}m(#oBFbi6Grkyn@pg56zZsXvMyPS zyT0)4O`c{V^=rUcE)|IdFV4%kb!`*&2z>Kx;yHJ!-U7YSGCd;g$PzPkkzz7gaI0K7 zyM-%DulY0iB1!=FF1#m=w0M~AV39p{$a$}%7;|@xJdJ65m(ceP`f|Uz@fEFlH9V3_ zjn`ss=~$GU{{o(-fFC!idKd4nzx<2);fou{{Y$-wk&`SoAy@919-=ve3M*hG!{{R7 z1C4i1Lw{BGIpVK{yamI>+3j}@g^c2N7Jl3Cdm4T($L~+eD?s8*j52js`1CjwMe#i#BDlq{JQ_hhg_k2K0bRcF^CE4rEr4V}BUsty5@AFHtyT%n(GY z=E@te(dvcOFZvVx;{aItX&Vt7eWKcLM zl93ecc*+SPpwb@v4X3eIL70;u7YP<&J}H$Tq!Q@0oMLLCzV&>&J=o8*zahx6`$7nZ z$u#DOs0=TdpIAr6D{%QvJivyaq$8R#tGOnh=6 zzc?+P)JX1ENJ>m2&krnbN-K~my3z-AcK5-e4@M$C+!ot!4R?%oPggjCz%dH}vkESi z`9AEI=|4vi;ty*=l67X6%6yqVuk3^A^IU`dNkm1I5L!7nQG>jcg;aw&5KEv2ydQmAss`8Dvm?TL zwJv6OKTl;zwu!RJmx=pmpZfiQJ?fX$x@h0}U^0YkN`c#x9L6uIfFy5wRo4gX#V;TI z{3rmimBOc%@zJ_{R}^bS5d&7p4Yw=@`vsP_A>1X&`3++XzkFtJ4;3L>(FTHp)B%YC zzg;kLCp7UC-{Uy?CHg0p9BC3_#j5B??h0~5{jVcb?5myFMzzL_YOO(Wy3I6KRicUA zirl`9^{87@xYpT2EEf+&ud}SR$w^WQcS6|=qgvZK`!^7K^qN{Be}__&0ejTk)vB7L}zDbm^yqS^Ow;v89oSv#^DQB>+5G~>8?Fr@V;zoAn_hsv(P)~Fbz{4O;! zQNBd z$;c1lDg4Ave(qn9vpFydk;79_q~yNi>-Hx$8j-Ews_?0OJQjN)+du0@U#PV-! zx&>vX#%Cfwc;e;}-EJPy?eIv)=dg`GI=w1OTJLP+qxsWDP>)sP#f#D8N6FJ6G6+Nm z-NX=8PVI1dYlx2Hg}fLm!py=cYgN^YS{@A|D0n#SRYa72aA4q?dr2S}hMuMeyRR@m zI`tUc(?FjM`V$ChTPZgr+dcbnQJ0s+JipoHZHxDGcrS8$|4F252ENMsIGo*VWZHb83cp^o?1Hr(#Vh*z~7!?I8RD(13?UgVeR)0#8VeSK;#bn z0IRo7)i9>PC#t#2{?!{K%G8}ZLec5W5I9=0qR2yh*s%b4u z_;s@B*U`2cg#la{6T13?E-(q3Ye6M5s~xoEXez~N zNK=|z&Sb^S@RM&}iPlD|WE0fu9He3XCe|r8Qa$q**~=vBKxc3n0PRyR1cmI?A8?n2 zXtW5%6Z}BWi=}%^D@qrEdg}l3_0D$0LI>?^qD6J+jMXYU6JuqMyNUk#vLRrcApjxc z(+LRL&*JC=aRfm;n8=S5j-NX?c3_qV*U+2XBAGGcPRv&sQ{%|W?Tp>!HqgOwtt&Se zE0G}PA${lXfkTo93kC3t1VKMsUxk z8i8ywP&9FbC>bZ?hC}EHbb>mQpj^VF5VGnng{V)Zh2SYhDQk>Hdpzl;mbIreRnSD` z0A0Spi6Dj}B%}*|zyz&^LtC@kzZ#S8$vH0Ha~6KD$L~MzI{-p)5`Guq*XaaYA8!32 zS|dyum-b(%*1^3SF$ax|FdX$#2E9T(0{O1z(iyT^ryDYoaR{R~YUxc6_3B|~*(fM; zLVlFMJ0|L1B7-GAa>)}7g^A48GC#|RKdQsXh%`j3W^l|O z)P{N&zsbp*z{3UE#7J-7ZrLKoS3cvwFc$x1xxL}OUp=u*`nch+*O7e@iq`!3{- zRE!}yoO}jJtNH|%cQB~eoTNuH-63aAkdx{a1$PE&RE+As@W4;+_@vMJU*VIy>jNph z`4R-Wz59>Y#6c00ny0}9EkRzgq~tLNJ%LpN5!^dLB1VRlastcYp%Q7$!zD7qh%i4U z3E&sjA`nh-lkdZjn<>j)is0Pf;4P;3%k?{L+*Oga(!-#-X&%XyP8b298Va3iD3of@#gb|$ z46GUgt;d3Jkv>W;BC#XUXs<2f@b=I$i=V{3WI?)FIx!X|5>z!W7#P!bR1rl`rtP_h$M{!k>n-;ltjTXdZhexmki)Dv;C4#9EvGUB8KTZx8tKA>PYWGL6+Wk?S zUw=??3PU1S_O2%Oub>ry&(e$3Wqu zLDTfOjALB**PukE-*j|+2;$$+|hPW-UqHP>Dl#k9? z%NeWf_a%SFOf#k{(ubC==|0YtI@5i0L=49jC8FJEsY1g}yI{TReR~5;w#vWyd*QM zQuyhCKU}8;(<2G*RWe4-^Ii*v7cdla%h+X~kVno{a>RxwW>;iLTbA%PwR*2rh!C|3 zm{Ac1Wfj8YdG+q&*pAa=EG1v+Y@7>?IM2aZ_Rki;5YXPJ!H)sCMnT{G#-0 zLO7z)@@(nMjo#wChW8DRprSzN#uOF^PI`>DB!=1lxQj@ubtKNL_nOZtoe!5k%GJ~8 zoYR=4Uj3`W0u+iEuSRkiCB*ST8#&H6fU^K)J60-bZE|Q7XB9b~Q>km5)HOPF4N}!2 zb!~R)dX<{=s?>E(YMJXrsyd{q2dvLdeWfBhrjj-~NgH*>?AfkF(ko3;+~|ZEOxm## z5pbGj5s}7-W*4L|vUG3CN`zt+GjjgtpGqSg5z^=zBfZVYGb-X9l?>R7krn0LiGs|c zi{%bKs20qbfowFGX35wQQUu+ogRu9WQVoGk{<^yX(z-^*TXQ>QMF4Fwho$-{O6B^$ z2<0E-V!BB;sTi6RN*w9IuKyP$fcZR4x*_8-#?Y5n!V#vNnlXHcajF;x#{yPLW2i)M z6KEmrD*)k5p|=w_jh&9MgRu<8ChY)5-GB^IN(hlkotTa+z4;Ht66ilu6IK~Pkg942Y7$P!WVA9dtEDr7;p7!QcK zEnUWOspOMW$#K0uTYbz)9@EKVNH!VCCub+0no6!)UzL-*N++*EvZ+YUCqpH7Pd%Rs z4R)WcnqZjm(j*wwUJ=>o^=m24ny=QJMzg^S$OQ^ZDY3AX_5E0%zu z(MwKEQ8#+&czEmQmhcr84S=m8(r^?mwy@E-hcV4F2G3c%oN=l)DV;*0<7>|2;IR@@ zS*C@8Uy~y2zIbQ=`LJJabc=L3dh{R_yz7!^oQhpr2yWP~ovHd9q~g@D>~fRsU)&xO zOKp#-;<7GChm4BK(7cqXLSA!!g7ne7gtiV`r*?+6I16?e24WUz#morB;)WJ?rFlzu zF_RbUV3h%KP*#uWAq>c1D~$1*O_ko{J2K6iVJPZ+<$T62=kLKm%<`J{4HXBiCc_Y9 zD_ye^myi-4P^sPIUkKv!zQ`Ecu?H+yA|JSJot94&2=*fGW5fNs55un{h7>VO5$S}%slvLkYpusrW@>OQ{7e~1+C-M_LfGeGr!0@ayg_-=Y8LG3 zouBnnSs*trmqb$}l8;LSXNu%5_Gu2uRD5yLFX9xlJtKQBU!JrK~N*yxD#AD)hQdYOjB2-ia(`B z-byKNn2txepb(&{mJD*zQbQ@*Hprrf*@ZusT=|o^S2!4=(7_>KK{2H72m_6h7<*5} zL3S1)(e`2|NnqI6Nq0*P+uLy<7t~=+E$u=q#b4a=EezB*$-^#w!0pz&R{QZcE-T@V zBuHNmJ~!Z#Kltndfag+HNF)9DQKvpshityv`GKD(Qr)6H<-0?FBVC+5ju>lkQPpvF z_arLeLFL4k9!>VZQ{SkL`-G)kDDCa`4{878;|>Nn4mB&~EI@fXiCTfSa!-y+gg*OL ziBKcBH!IzwctZ!(F(^&$)=G#fbynaVI*@G03S6oK$(O9a89J~7ft0yM=(s1rDSp@C z`yu&$TC5*9v8@k5dMFTBwo*HV<$-0`${?XchRE~aOzZpWQr2q?!q{N4YK0WCJ_4)c z{zX$KN_t#vMx8uMVuoCwK@&}_zd_+@(om26@XAZnbu9{2>sc~X=TW=#0M>a8#hDKf z)S_2LP>qO3P4a$xLsZo0wGQDm?6oIBAfs(cOsNN|=%Ap|5o2~8+JRPtjKSR*oRhxh!fLSTZT6t6^qG75#n5>gAjn!6JGRtoM@dvh;CZOd{au4lb z!<9nWr;kSeZ(7f&PIM7l8Bk{*s{`to&;+PKi@m>ur5cz7f5?`>0@&Y=B2HBrC$$7q z4D9!HuxW;=)Ex|dMhDZu9~F#JH^Bjm{T%?edE@A77Nb}78j}W$x%M}R!E|t_3YWBy zvq&FC3=wU1<#+QN9K}v}PXjic$(A>Hp(02gr4UH>G6^;buBAXg$o`h^!|pPpyYlVAZXotQQBJ4rpiRl!8 z-KxTjy;xPHu&M^LC=o+0WOHCiVv-lKF8yb6zhq~61jt_mp}R7{(x|Ee(|Jdz3|I-7 z4c1TJ-YJa0Id@TVehKNa-~5W(Xb>aX+Pp&isFGXO@Eao-wZr>Ps1DX8HHheQV|s&s zaZKGqdxQh4<{+4Khg~z_aXoL$v6XDL?Jckbft<(-1Im@9rL@N|9&n}uFGnAVz;VjN zuGLpKMkzrYXDKRa5Wr)cr=dS9mZic$+wBu1u(v=mJuZLMUB`f|Q;-j43ge zTduUEtu@j~JyNG0iBw_45iv|pU7E_gP-Q;aNj_R9AC2Uc;?nHQalwJkoZD=f`#2}L zv{fV)gwcjCoKdGm0KdC6BAzE1l$(Iyr|NF(i*MIbaYH zV>(Gy|-3o03V4e9A&uq5Hc+ zS#4rCI70Tr=c%;3qas_9Vvr>41!8Udmy#rv$>d>`{C^`#OpZ>Fx&MSHp=hj))bP+X zpJr~JQbuo-H??R32;F-pcxpyBX!MRpA!P(g&+#bkWnx`Mn{}>85vHngc|_>}OU^+f zbCpn8jtBY_WwXGG_L^9B>$c?Kt_wa|r){6{hoI`yBH--4MBs+P;4VY8ZPYUaTLZww zEJH=(>S(M+tF778me5o|=^oUG%n1Hy$jNArHmVUv^na<2!$k1V=io7tTUOFU z2G7(GdK_El)iiS>7F6YwxH3)QG9OdS2Tl}6aJm?8RO5;^zBmbTiBDAYNYpv+uf2st zVkWt{rwhEMkdKtEcIB&*vzwsFI2)h_P9vG9Mo}Fi)%c_Dn<=F^Tk2Z5f$<9_qo3uR z8POw~66xW&c8G8Ig^^{+(rLsbeQFkJ_|iU}spiq8>@Q()UYq5*n!$qtlvE0=h;jl3 zc-JM{kP&sy=rNv@i_~1i%1B!uf{yIij;{$rRLo` zy6(wVWJp#AcgO1On$*Qo0>i8*%j-&p>ShI@p8%T_H-JX9MAbgL>$+=b2R{bWVk3Ct*nHp; z_!UfRR$Dct!PFcP>ES@c&~pLlfq)Ao((2+F1c>KRqFq+fVI0Vpd9P` z55)pH-qgVq)&VpQDqTvbDkOQAZVXO46S2Vk7TRC<0uFTZ1hSm$S%YGx4HabuID38% z>|+;`Hoq4{S`Yn0xc(c{&iF_alKD~lcHH=Bm}!0Nu6 zlX@WA?pE6#sWQc!V|EG?Zq~-BrSxQ@O|nU9$0HwIpgETjtu!fH?Lvu|U*&QLPSqfq zWA)KDWIz1k&YpDqld?^Rhpe zV<%c{#*C}VsxVVu=&OM>RZD1yNQUD`$(`*FAr9`5)kAsL zTT3t&^@};HFt<9(kK7Ej?(E^aCaR#)#Y*f^vjELI@gL z7-ritAynweLa%Sm1dbSQJcy&AhVAnAIVYk>biKa}(-*5ec&mUd33G)-Ph$?&zVHDK zC^V;27Y6GBUUrxCmJyKP>HZbF3$`raj+2u(qqE{cByZlp8l0BdAYJn}NLGl_5e-XP z=sr$}5w^Qr&_TjB-`7|n<7UX5h}pZ3%Pg?7$GK!rFhS>Iev>%CYTqN0W&o}UGd}aR zPqE{3zV?BV)~Rkl)ew(=RHwTP96VwS;T#H5H$572yUKjT%m?o7>r`Ek`G}iQLn6Z7 z9h_5x2z`JO6&%4!1IvXgdIckbor><$3gC68gsbZrQFgZQ3GD+HG)*5EIud?mEX9u6BG zQ|0nflV%WnJZt`rKiyX$o9-*{Mc)s*sHu!$rbOv?nRl-Uf?5vx&GEi*+sGZdigb@X!Xlk4NkNZDH| zyHpaiFCg~~ds~Vm>A@)!yZxn9_BOm3Y>0McrLWs`XHsaQ zxylA=A^yEYRtLKuKo0JPzsvQ1Q6gAtXJhtKeS{$KkQh&I`x?F2ox1o$v!@Xn39r!( zEa`bEI`egoSHsx989@PYFB)!@^lo0Dj4<5?C<%ETsFS}%WUn0Sr*@}yWG57oq^N=u zoB~6NGb7|+XnH~+ithUyF9sRTfPq;0b}>Z68TFGE0kw_(0@?79w+oi#hH(~E%FKGt z&NPyJMPUxcZ5J#nOiM_Pr|p{5%mx77spBnL(4ja&OD?wdpGc1V;=NKF zaVYka;$PmiJBpvUF-39G*L?MoUDvbq5ZOIgY|RgHDWwKlNW`~6ArSI9_7M9AUqJMG}_ ziFYdgN-VcT(8E6K2H~$P)^wi)?xNB$m$6a?EVPklv3i;}kZWm-b=ngJ3;cX~tiw;q z3FU5L2>4kFe#+Pe{4BU{*W({)fHIF0l4&heFcPa1b)mqjKIp5+xe&P1$WDL<&m+tr z$cRD6qk3dv3}#|4_hMJ$6UbN=k|bRB8|ol+Surj=Vk*bC5XuR@(vfBO2IcwBkthyI z$~3U~@#40kLA|(*ql}`#ViF+{;Z9IFIfX57Tzw(oVb%T>;nMh_4Pb7d@yonbMAEVt zg`(GErbk1rYDmKw+#L2uu8`DNtpFY7)c)taA{|ZFrKdXRihl|nsYC8ARGb#>U#L*2 z*H5MRFtSH_>aP&YnOsN-DK>*(IJfpg3TgeTy^iOq93edw=b7!hZc{=kBI6cPdf2Pm zMMz~)uloaa;kHcsi=;tFpS@j#l%i;aROD06ved8*Hn9#+Cy*)aaL#3;5{#F5I<89U zg$xNLD*TD2MhyPs5zld8z&KPX-&cZgl~N=`V)YJKrVA;FEe))~QGTg-4#Y)bkvr@t zZw`e6F~=c;u)aK3FT`uHV#Kgws9tv8ET}OL)M&5618S_X479RfAdA5iG?7k)23i|$ zG^^{BdGIFe9K5Lm`P=V9L4r;}bWflQ!d(QxrHh$c(6xhrc)3Cm9y2*7*nsPidk-Fs z`-#w4dJkmUlHI2*>7EOXv>WmU33;Pb7IQnpQe)5xHLPlBiZQZyOw`*Tlbdvn#x{fG z6XgCk@2F>GDI4~n^<2M)aikIysswZ)L1FiP=yMnxHA2z4f;@1OC&R<>^^&iT82kr7uv zOS37RJv%UX8S=oI*_Pf);R+vmbg?Jv6kRG@rB1oeIXjy8Hk$adBGI+|z6++U#|<`k z&-&!$-}Y3r><9#|;S|7Z{FwYtNvynT+bMlK6Z2jw>-lhfdu1XwF~MIR_``&P^1zdm z_N;96U_;XEa-5JaUlH4LJ;D)&2v1Jvhp^cQEMF1rw?6QPezRNs>)R9kkoE*G!}D92 zF5*RaKGPYzE|g4$s3+tiZTX5wZYuvLClsi7NL^rZ)ftNO$q9ZqS4909wTiu7=dZIC z=aVOR1-lo_=obZ%fhYT|@FR%yf-AvG_uU?t-*5W~f%%hjw`~tB?TgQ)lXJGMKdr4G zH#+vE%D~AlR*ZcyaFqplZ8<)MPC74e)kn~670o+5LD=d0@WWH=xwQYkeFv|~@!;{q zg=h)S@0_2z;hrV)Yjd|S0$3lodOa!~Pi0iJd^otGr8`(L;>C&)f0~%L&WUg@B4~7h zYhZmzbvg9~l>P8KDTqJkM(}4w{P`c3_QmfRLHwB#!Jp}I_+Q%uJb*v%Q1G@+1@GNL z_~X*nCIzqWQ1I4H1@GAch#5sv8*P4$prYAUKoy~-5!z;ATNLzvxMgDE-HLTd-zkYZ zZVN{#M(>sN{GDZ9*^irX@wIeiU;PEYpyQ{%;1_ZH^cVc%j-URTU)isT$SV61z}2B# z1aNgKmw?)wEzj><>Un<0rMSZZ9LVO^R`6>p`L&h&+WMdHYpdqhR?V-inqOQ0_xzgN zE589fKETeWv=?6-p9}*71j;<8J zz75B#&|Y%cUTSl4arBj0VGd&Fd2@yt%FWP8AS}7TyRM z1t}kHQ!?tMj5azvC;5;mHg)hwx!RSBfD)!$1aPfZE&|G%auL9_S-A+{+M-+nYICSi zJnNnI8z|f>I^s_id0m)87_co$Mzz?5|6UiUF9!3Xpf*s5FzsmJzk?TO+OiZ=7%FFP{r)L=2n@&}(WDRv8@3^4pgu2v!~=3t z{ah-3R{xZE4jmMGr-v#M>s0@gcoALHFPD7V6L|9VivP*cKb3*szlUp^=B-y9R|^X@ z*aOb7%j%GNWS3RhI^~P<)+yhjtC{j+`HCq$>*4by9N*Dr=lTqOA#gkVzn7T62lrQS z|G-pVr{Va!I#!K_|lqYX}PFm0O}S1 zQ7YvwCG6HGP`99eE9u`#`nQt)t(yL=n*OcLivF$5{~i6_ic}A@c&nkGUy6QyDf;=P z=wG~5=qCXE1aA5rrD*IWRLv9&@u&|=uaP=E3ty_Z0;N=@kW) zZiS}WZ{#c()4^!slWQkNV9N&2@1Ah;w>_I&-a)$*KJ5~?J{6!MKllq18H0{bqKO=A zo4^UgkgQU+^*;^o@m3~Is!NMi_N^gw=;0#y2LvApGlH1 zwE864Ia?EKlMj+V`RJ z&l9S6Ap}M(Bn!*16QlM9rb)ClAtrFuMHA25!q3Dszx|*>7e~%f5}lY*YX3s{)gbRE zUQH{7qMe1sVf+ap(ee&KgCRv_;QPu{bfY)Qi?L17bWeJ#FjWpcHy2Njvi_e}Y2ZlixT4@GClUSE7La{H+MnJx2{ZvU3Q?<*K>43UVUsNG zPER4NCMV%(323Fy>(gR>al2quAVQB$u z00vj+sPA2+hCV<7uzi5z&CJ1dh3C7lJNDW=99}&CmkeG+?W=I3UzPx=YrKV~pJyaF zsm9RMm=>}Yibxk@T3Wy;m~JdwMVfEZ;yO?L9&5Q8Y#)h`Y!bWO3D#+{7E zw=6D~L!HZ;7;Prh#JcFZ9r;+qc)lga)AFGeZ7aaV4BqFOW_6YBgpOdmgx~(#k>5*R z5z`n{t>q|1T3^sydLR^PecA$0S`EvSvZ_Rvz6WlmejLRQU7n_yCHDGFAmIPkKXteF zk@79m@GcD>)$mmfKh@B4hl)Q?!?1=EG>mJwNW*pwf2HA58g9~Xi-wq zX<}b*VC?dI<<5X6{%Y-S+?lZBG=(p6L5|=l@0+XeeWBc?gOxioUHRcE+_PN44aF+n zo2M&$nelh!uJidNzruV4O+3tkr2RZzl8$%vZK~YtZ}`)x-HMwYPgh3xJKEh>Mfcd+ z-A}uBWVrpeEBx$w`BSXjCVh!^=c`~(I3qlg;f`gvy+D+Nv&u_IGlbiChI>Y^VM*KAy;ZJ9{J2Tu}+HLCR&5ZDO zwA;}0en$9~4EH}W;@cVSPcz)xw3~f0f4<5H-;v?|A;aytL)E|Gk5{`5z5a~wf{gIO zjPQXO;l&y5K^g8~M*5NrcPPU>GQ%CtaF5P#mu9%fX}955B*R^v5kH#YuFP=9wA-|o zc!s-9yN!G{YPXS>71}*eRiCFLBYd@X@1?`Lw0n?t+u98SNPhfxs`@nHA?-Hd(TwmK z?LI`OZ`bbqwR^R82etbh?H;V%JG6V4b_efL`J40+?GEVhn06cfPu6Z4qWp-~ z@4rXUW8^ES-G)CA?cPu4mx(`9zh&yD%=VqB4>I*rru@fs{@DB=Khvhon7*)jmSLY~ z+O(Oos%O>$)=ghHb9$|g2KU1HS#TSVY18U!<}iZxm^N+p^o8|q_oC{V_45}PAK*^OAI~w#Xs9spVV9v~XgQsEM^x8QW z&a0j!9ww9p3(l*)R44ZYXI0l$*H?RvhsXHw9?!UO9?!w}J{}$iMtX5B0?B zFRQDbKifp}#B1jxAh@u8di|W4!3!IvFPJ4^aWZY*g{gRpSpVP({2N$dIwY>DPq7OL zGGoMNRnMN@P+K3IIe(r>8k|`>e__J{p*2p~n7&}w={0_L@;UX2=OiJOzk}T!?1U@w zcZG#`<}9dh04HY6Sy)#)eP;E=)${6u7f-J<<*cp={sbwC@2PkxUIkMm#Z%$CB`H30 ze%)oeVj9ccFsnYept`nrZH#UoccM?9G6!w2+p3rAZX;mgio)pZk$u^5`T9r;Bka! zx7j)I{v+a8?kqn31pc)4USG4IdipF^v-cQ%7927p2=poU%=y!%Upjq`R-=ypxZ|nC zpgSi+uLR4h7tUNTr!J))Ji!yFHcqUazHp%{G&sFJsJaq&c-evl(=XF})k&gr(9{>q zthvmUSYiZEoPTj0HFWUw85f}k306Xnx$=!qpErNrWf#wHSQte8RWGbVlh&w(UZ`6c z7mCC6$Jk4p-FJEafA$%^SJ?%18m`uGx~I-F2R+Kgo`v{(DZb|c&h*UpEbvt0Yc_ml z;A??|*LseEpZZm#|5W;gp38u7rl$t!RO+Mg6?V!!S8&h6-&)TokLh(io^-q_I>$68 z*Dfrpg{(OU@S*)rUQk^v-r9Xib^Y1XYa5gw1GN8{Zhwx8=wIP9!xI;vK|&#&iQ1nt zf8I%rOzLT>=p*$SFH`lq=@bRenm2de{7dHrs~cxl*D=1t_IP&eBK{0Ci?q1P@a10_ zqRF2;58e5mT)4bmAOCrre|bLI+CH5RsK;@kJU@c{o<7_Pk=G~BljrgEL5x0(l*{rl zO#S%rwmE<0AHDkc`|wx(Njw#o@%{3Tku+|VgM*79|Cc`@NJj(ezSe`5gP+j6hT2;7 zDQ;6gEHmc_SZ*>$k>~OB#dr44mJ_ufO(Om@$zRX59u1f7!fh#kxu}oxI7`)Jj%mF+ zbb1GBJYc*0Yz6DJtQ1IJ2gB;IX&rk3zhFSosU7Me6g3Whxr;v-zNUSPm}!h zwnx%nS9_49Ctch;De^y#1#274h6TIaKt|?<2CNGV?H1A-8`kd zji<*GNqzEbn-gF8Z%Mg($-v`Dg`XuqZ>8c3g3XTmwp;o0qT^QapLg6hmQ?(_q~bZp zEy;JR>Qr=iJU^OtVmt(P>iC_O;!n@gv|v-dEj=n;r-mIGHfb2wFrr~lLyv}AcIxyR zc4*kHVV#CC4Z|81YUt5$%a0n5h8-HVYgngYOv8wVK@B|`Zu>#u*{tDe4LdY!(y&g$ zn1*2ugBp4?-1fc3r(vgt9U8W4Sf^oJ!-$4q4TBnbG~D)`#;akch8-HVYuKb=T*H`# z5ehlcGMHfdO=VO+zQh7k?J8U{5i)X<~hwy$;m8gACGQ^VC7c4*kH zVN(XI)9$#2F%2UchBXXoSg4^V18)0D)1%>L4Ldbltzkz7Y}f844eKGs; z7|ei$+U?PB+jdP?2HdROof@vrfF0W1u3=LKtkdqehOrD7(eAK@!3 z2HdROof@vrfF0W1o&lS*yDkI9wL6vpBibF#fI;mp%zz&4HgMY)n*I#9S-U$k;A-tQ zutU4sGhmZ;8(62^@eCN#ZUZCQ9nOG3?KZGbyAAYc_cq8f)`gdG%j=F19)rEZXDQ{YP21Uw`8HH(eC79)0x} zeM*v3t)>4Qy=ME6YHOVQ)LI8^$-)2e)}Z10f3)hnb1d(TVfHj$iLKDeaf%CqG;13%e!pgH&0Z~wgzpy1pmib%l5co z|9gi|w@SBsaZTPq^R3(Knx6W{o99|vI-B$Q>{)BA9&zmcPX*4lZu+c$Xzz0_vbsP0 zHh9z5XIh8c-Ow`p%Q@E6wjXBxwsEp`_C6Ore#JW%St|#w`Tn}ZIac1C$8MgJcd-@y z*#Yqp2cK`f+f*AlHn@lNr&CUPbmmPntP4)OtpCTylv{aE2Z#4;zR=odZfDWl&aF0#%J4Zrt5@A=mL_m$!Qan_xY zG1mspsE~JdcjVyzan^B?&rzcy@r|)@l&fO!eq33=6!oG{!rypp>vvRbwuRXVt3rZwn?_ctUfrdS2HywEhKAZq2+?|j~K z=X~pwGq=8d(1JPE;L^SGK5d?9ojGjX@1DE)JnN~yPsrVVSIjEDdOH4>T1|%*Y+IHy z&zkhq;_9!Dm}7+_6~4S1XIWwSiCg)_@ur;oDr;%ZkG`+=jaeVqjjvyOSef;eZ*keQ z&HGw^{w8;7$%PkN4_^K5x&h@ES%2GSVeQ+KFSL$qulOSO)>&4~{wt3;q;Q6nzu{M} zw=bM#J@V*VKL3dGtdsXWzy41ronvh{`nx_w>(8|I-FEo_Ki(6wjyq|~-)q;OYSlIG zF?CDsDb@{t@ZkT6)+4o7j(U8NWvvceJ*Z~Jan`=I>-MQ#cdWJXwO=0fQ2S_Wym$D| zie4FI9r5EHZ4WFQZS7mryiZN@vDUG7U$Rep`xtAV_9OSY|Aq0^Yx|w`-ta3=ux1^+ z$CR!UPPX>gmVfq!Cni|qejKpJnm10j9y;x*7dl>s*PZC&&EAMV@SKE;}U z=Q)wT&pY3mGvWDnuX!zQRsJqG?3}`x*1bc%UbXVFYU|;qCvyMXug01``PNfDT7Qvs z@_UcuPQUMBEAFexIlHOII^?#;@}GZWycG}J{LvfFR9b4hahB!VvBzh(-8|L0?ybT0 z^?S{*ntstQ_VCVX>$tIOv4*@k>yv%1sI)%(c;M4_ zTy>5Wyt!)4;%nm8C+}Zy>YkTWTV3l0PyC<77g>2vEV)1O@O&$BM!(f_e>~B8@bhgmwwm#ZBI&^Dwnf3WTZ$EhQ>~pLYub%Twbi_<6|G`NoKf3NBYv9;N_8$Al zC~H}3F!^EoWNY3FJHu6_Gpr>C4A}ImlMr6oymx8yD9itceTSYh|19gUReL_Y^?;dH z`L?shKMQ&v?EAub?{1A)TlbsT^w>YASkKM8?DtQ0Ra?1VjeYaIwezf>eZRcwjQvly za%-q%t-sxN$BCDGHP@Q@z?i-pmQS$unV9?AZ)Z=p4*h6o&WGiQ z-~LSEt7N5x!6p9BuogbqdBhR(FaAH=y$4hjOS|_wAW9H*00SZ_A}HB05uNHGibxnS z0OFP`NrD6g27{Ro~j2Sa#FruPj9zYNbcq=?Tpl6@6-?i>p_q*#WZT|DC zr@E@Ty1KfjLJ!w`a&^p$fFYbRUheIx9L^cZYn_!761e88{kkc=9?rGdKmDfe;xU}I zffD}ThwFM~ipp25QQYX&iNDe+qPdP+&iyP+AIPbuuNZaXT?qHwPT4iERXi6NHa%Is zU>K+D`*4vgYYf-Te4qKWi#FUq|4-4gUg7gLpnG9o<*}T0;`~0!-b1+L!+r*;ArYLm z?sP5P>AksN;mCw=lhNFR%Ga~BTaD%LYwYCC{e3xgJ@0p?28`hf7LIztt##mTk6+tP z|5Pw%>%KTjuX8;2z{LRn_v0q{O@E}*A)1q}oBr1Rk_T7ond#j(IGod>t~V!da8#-L z6vQ=jEBo244Bxlrti1N_h#z;NtKIbn@1nU(XPNqlj#93V`JygE9LI1gZ&dEtZ|KC$ zNIjIk=|w1aUCS!!mfVQ*>M~(v{<U)aw6%FFf*BV#Z#zt@s&wLiGig)5J zYQ8U*JPG6693{z9rrB|o^DkShULMK`RUGku5m)|oiAutv5bo)qbMLoW8*&S84gFMi zIha#ZQJyX_5OUk&zib)n9?S`;lOvfxNm)fLm_5feJ_ZPs@v9!2Abc#F_Fw&&&!62N z#igI0xk=_0{vKW~`Hip1750W1<`Dzi`8Bo6ovh|4@|9K<^ECO(&y)QAti2tfu(R_w zUBRq9+x7=H_NTCT8vAFG$0hMy`P9Vsm+;EM%YX6d15f*%>;AC+-XSIsKz|wDiN(wJ z&;3XJRk-`9F+5H8&*=I797U%1=RDrylcGGB4?Oqs<|h4BtXEfIfDeDxlg9F6<$dpu z_=^?%Z~a>|fq(7K%2&kq`*{%vUJoNVIIOVWy?6}wr_EFFrXiK8-EsTIACdgmUq$_7 z0~Cz?|HuA7Qol)myP{jMyyY;$_?(7Wj=mHN{o0auA5+|l*IR7TB&Lv>qq|S%j5=3o z8rGSxApG#pe$CI{o;zk)eLIJ-F4RvTEX|C_vTzE0pyX<}wnLAeKAW(=M0thknRz3O z^mlx_5E)mL{5Wp!`y_giow*U-b4%D2-JH+HlWtv4{QNAoD|)vfh-IuizTw>U7|j!7 z`gFCkYNqTu(zx#SxDg&_&ppKbgTf_NxoXY_c1_mnwpemwes#+m=V$e7`F`@bEaSa{ zv`M0RPaY22bnSFVz~kM!M_tl%Xx-ACzL+ejp+-;mS z*z2W=V7leG?_Y`yeWfOCj#O9a`02EDdOYPXyZdW82Gr@>E)(2udvMOt3EL)yG#t^6 z3Bfa0%C$N#iaa;Mplg=>0&DekYSD=&PeqJ3cz?dfx(yYP?c&wjZ7{FuGfroS`>7jS zUb*^CBeQLU$J4UDDi@}7S}6ESo}YU0(ayF;6(NAZU*@{I1&F2rg0C#aluKKGYpox7UWC;fozZzl3D*ST$0 z9ka*XKQY%OdWuqfy>P<_z4X+aB?7_o14jp>X3SXLp1U4ve`wy*xf|8oT)m<+w?F#1 zbh*(poexo>o-T*hd~%%r_qi*|{*^pTro%Y?m$ z?^eIeBl!p*QQ%l-x04y=$tWL_29k9toJMLOmG;~ zWuIl&fd;mFSKhkuZT_R{Prc_9Mh)NmSM-5-1GJ6CxlX|isiS^Rj}GyE`$9kLnrHa= z$@eXPmw$fVq3YzAzOsx%Hprsj^wOt$I;w?#x$7PCtAFd55s__=K9XETgj4f~WPZMX1%QH7zTAO=yu(9rVc`Nmd+^;FZuJ%8)++Xco92Ovab9Gfk^n)HKsr=BKU73M~ zc74~Us!kld^zA^)3H9-7-$+`vKVP>@Qz#Fr(i(ft*l9uihiI-l57F5J!ln7s~zFu@;_&nk8zXOWzp8D?JdqzRCj;@}~>@ItC z+#|Tq^+lm)`exZ>hg+8W-_{w%jb1y?c2Y^l^czXzFQ#oe`YPSKSynl1Is}5vZ|{y8 zn=qw(-J4Q}`ppTU6NdC#aIqr5{Hg!b0XO}Bxf!;b?3Wvm`liRw$O#?7j=X*!r1A4* zv|UBt{@KlQ=N|1{>)fVmw@1z+OIFr&+P$SC7o~y=FuY;Psa`6V2j_pRdH&FQ^OEF8 z>gDS{`9!wb)Nbef!-s2Iue42GdUnwJYpcwIR&cg$Y7Z_oXls*p>zUK7GfxdsJHKan z^MhX1OjvN`&DKEQUd_ZlZ=5u6yaM5qFTU!oe?50Pw9l&F!L12fuXFJeO%8pXaAt6E z(e22xy4-z{4wv^H98om3<%SI_1ZUg>#q&>je6cR|^{RL@?m{>HdiCk99x)}m9!&Op zuC{*Lx>P~NfbtF`Zh>UkU16olsibgS%`?_>zwb_KYnnIYhuy08#_dGro-JE9+w3r) z!Q|MFj0yhE8w+yE#mQ%@+$OIMOEeFr2!flw)ujh0;T3JCVyPzdp_h`=&q87bDzHJTM!Z@&pNsGnoi8U zGmG#tS?q*571k3kZZvKGMS~kueRKP^30u3L%9#(WujXRm7O^i%JeTip}e*SF`YMt8WStk+O^8137A z^jyLxHT_fUCMwx=Rx-VGLY;;9!Sived%d}*9yTQDNypqgw~=P|Z#-5uYk1;zW08?g z&%L+1AL)2p<-GZ|7DukU-#_s2VD$}GlpkMMJmht6*@$zCbNzeubLyh9pzW*E4LU!5 zHE)w17Wvcq-k9;y=SM@y0BlHpq@IS-?ZW5Hiye}+A8}Tjw!YYKAmqj4FtZaXJ+ju_ zOAJ|Q{POJ4)Rt|#S#<6i9HUdP#o_k6Q#+8-Jnqkxc6gP9{Z*)At!Yr4v8H9nY-IxVOf_xm53sY>Sn+HddTIXomC7 zH|ZX)e;Te$ykGYD=9T6Tau%H&D+qsi@Ui!{c(vTk8(o*A6b)Pa!|!6swY%pEoZ`bu z{jLQb?*FzyXKcuj^LmettvI~FyK=MiP5t9>)528EH}!hD!H}FUfpFf*(E~=WzMkZF$h1^$V(1zkSHKx97}AbmLmy>_o2XhC6YV6`HzJ zIwWL8kA7~kINaTC^9rr9HvRkubU2h%>)!LEUysRF4;Q3nXUZIO{(fYc>3%bAs!F-h z8YxYa|D%jgWi$L7q@pfRQfVbnYOXC%YN0DoZqY@ctZIzM`z`T!e}6$UbtGt};Vw|o z@D-@E{7ays87*k8nJQ@BYKEYB>r6rOHk$-3+Uygw5S|jW(7Gv5)hZLHYF7zVb($-w z>F6q{wX;-GYwxV2-abG{y+fjsx^9M&hHkc!M#rN{8hUq>G&+4!YS~F$xuw3ba?8%7 z9SO%<1-^3$d*XTebCd)Ur#1rFO1v)cc};V{m9-A!0OIHjlBTmdM&a2XNrDtSe`FLM z>1Uru(NJO7ho5P}{DY`}3d{)!!LtH_@O~+D{{%srzzWYJ`P~KK5d6MPL)r`M@!XZM zcpgg#-k;2BiNqljF_X_J`15#d8H;lifkWEk&&k*?9NSaze3!ANk7lAH4Jr zUiJqs|AP-H{~q7rKbU?$z?o%_?Tzz6$ogLX7m5?-2-|Ev=Foiv;?#q zR1W$BRB(-@s{*P9stGCtZ40Ukst;-aY6NNmDgw0ybpiDR<>Ma)JPI@%G!aw=ngO~R zGzT;nG#|7Ov;>sYE#fMG<)C$-g6r(~)j)-yx}XN2B2Wpa6f_D{2AT<)3z`pF09puI z1X>JQ0$K)I0V)Tr0~OqW{DSI&ia;fxeEd@2V9-QR8R%-zT+l+$yP%IjD?kM|S^6fR z640Tk@d7VAD{vT|hvd zm6}8i_%q&L5gx~rngry5+kLl)P=QxSlE5)B32VB*1E=qiI#%GA8YvhWktp!N3l_W+ z#tU2`aOVPccpp4BKb`ECL_c6Zynh(E&*C_uNgIdbptnOD54pvVxKfj$mk-C85)l^~ zkwgsG;rJ5>;WV0hlk^nq=p_(H@kX4NSFiB!UgN6<7`>AV1b+C=O`cPR;U|SutZw+(AsXvY`W!%%>=%xS#mn|@ zWEM}dA_R+%%uj9f!_h(fWL9kBzQmuU*XYO6O~tur^dsRsa1Kbm-EhpISiLZlGIYex zC`1X99D2ZU5+&!t5o;vYp?JSUtUmazL{5b_E{E}0U9dknvn>8p8Y_v1rIUpBCh4$a z$KH@GnV-uXOFx>XMSNKL^z_pJEFX>gv;3sua$psL<%>MQ#lgH`7B9v# z{(tv(#JMC+3Q9hE;eWkwnTF%P=}nG@_>g}V_-;$WkbedW9}<#ndJ=SW^#@1nu17?!oTI0w1y*_%isn_}F(u_I=^0<(P!iW;r6?d?)-vp8h#LvTqoUgWOwF zaEoe*V#!NTQl6<{@)KRd!W%Db8kXScJjewHrR}$4Vxlx*Y;;&UUR48M zc85hI#YM;C^_>avUJ)r#3E?EH-~nqlc~t@CRSlR|O<-Pyf7lKFu#5h%Oa8F){UUrn z2v!rmFN9c|?6#b0@c4&E2p7AaDbG+4FgDWW(Z zr-_P|exNFB7gvoWe9-J1u^aptM>YTKGpfPn zUgwFw-1->RvR6Ime1l@!N zo4lo(IntM|4>7PlPE~lK`xTnrhXqt6m#e8}4hg(U{1fM#r7Ddwy+*k3>k_Jx{#={2oLW5~;p7kO zs0zKuP?c_5Mpf|i6jf2(J7)jVzJ!D?zU4$Ub7?$PS>Lr(3y)l2+@+FgS)_g`2`|hV zNL8{miK=YH2C9PCBC2KGtEmPTc7900XG+|e<|Hxwu%2q6?j@=s(@Ls>E}b5c@QGht zsAe9HXX?M2s;uk`W3TsA<(t|*CgHOmh^dx+8ABDMg8|s6~x?S_SrwE3NwtJ(sagoQVn)WVft+y)#5ehs1_Q$rz%~d{fvaq ze`QBi-aUk>$RmTQ%s-E+fzN%a0;``?^S^1)c`n($##GBT+EUGYHkfLD+aRh^ltfiF zYBp6#!fIw8znf}V(kZHiVYjHt29;A48hxdjS*`w@5L^W8slxk+*cT{D8->FI_ zYL=69%a(Me8ob_$@g|O{bgh&sZXc+MQj(|^51mO>W|l=&T9-pL_~c=#+36RliYy;c z6_&hVJh6^yp^o}1l5Sy6N2&&vW>f`x?WqPE4W=qx9!RygK9;K7Z!*>Vy$h)td|yvh zBH2q-H031K;{DgDN}oQVnyvha`FClcD(};pu5Xm1E>wS;-$c#>aU-3j%A+$5i*Lu* zY27qh#I7(_-^&={wB(zZ2ivloNA)#4qv6A)kZXPBn<@D%S|c z$TiVlS+jo~7^sc@R`xwT@uv>za!+^X<)vNGl{>nX$ye1-O7XY*mzH)$p0`XsbXxUX zJpWSnoc4dWL*p(_4%r^MS!^0tcz$VEdsJ|~_)LwPCAw2vX=&2d3bh*J;WRKo7opS% zWs5v5k-pFEsUl4)bmwH)+|BWZsPAQ)RrjwLBc*w2Ym95nQ1OBLGsj-kMQsiy9K0dZ zML8X=T->$72rZl|bb1uh6ZP6-K4<9X@s6_{kHOO+dinE^QEzl%<#mUYB{#$u+YPn5u==O?z>b>(zOA%FHlkZ*dAIdZYl99aH@E7HQWtD* z=_u-p94EITDVJZ_~aAzXmEeMWXWM` z^m$%vGsio9P#Y_Iy#s4~(8*2T_2#bcjwH3yEuO?6jYQu2yXvh*Gtmi!Xg@iB{*-==J|% zg`^%1gY3t-qGbWLA@*lo(VC+#5#hdi(QHphJ&ti2KR2o>JQ~SaI1$7bhO;MJMBl^V6eDS0|Qpua>r6cH$ zYK(dwDmyX&sfA5#zdYU&J&N(&AKgxj9QEe+{jsJs((kl6ODEqO&Z7#dpEzmffE&ih zucUQWo318k^6ZSiOs&08j~b5;oA-1>J$mY1a`tmUQ~U1SxAc5>)O%jCp5(JVGBr~l z|MW&TbjZBUWyvugq=yDf3rcW7gCj4`32HtN>BYyI?{plDOvW#>YA<#{`|EWi9mcqz z(DnCY)SEjX|6Og`MemoO9e>qzUQjv!(Vh(>b0hQY(56hi<-&fh zsK!6oVD1G&WVn8w|2YRkbhZ2Kzw0J>p+{3XUg)xBAnLfx{`l*34|D;I`RMFvk8Hop zYCE!%8?x8@{MFifFzVFmdW>?A7HWR;M*qXs9J+WIou2l+7t}w5&KN3gBv!u=ixo-?m`&2AJ)(>r_rbTr|KaMTEH#fu@CA~Q&7}L)XE$(!` zctSHfqpva(u;@6el$VWWLZr|C~ zD7)8g(c3%;y4z~{=DHw5v~8T;cjr}ZXx#9$@fX(zp&9j8bG&>5Q9=K9whKH*B8$BB zvQu{cNXMc;fBs4-I?N?G#_Su79_7fkny&u~jShXNu`5f0uBe?!*qa=HR_%V&tIxoJ zsGHM4Lk^>_=+tDopbhDsUU}PX;5za{ z`U|Hy_TBG?+D3HH-1t5SeNF0p+<22C@+~+$X@0FMsx(a>l=fmY^4}nAQFdb#I#@C( zdwSU@RM0_pwRUSiRNSn8>EC9isLS8y9!$CFj~=GA)cE<$8!a|DADNUn8l|eGt^C~k zFC^W2`$sG1?x_Au;DZdWe&~nF=;m!c1fso1GuwsC{tKD*@n1Z`pjvEOlhmQ}yphOj z$MJ`kKN_MrQl-u6nS)VBy}*TLn|;yjJwN5M)9lgGi}rVa_ynQ78sRVOjeOCa{+Xsa z5yO!21Iz8_>;ln{O)8Qn+XIn$N{0tsI=iCwzSDkI<&Q!-hThku`|Xj7ZO7_KKS!aH zor7HKeho#JgECu&e+ojLYVI|AUkpRHuXlMoF~9+(+Q+G%bah4x2Dsinsx$>$y!*fRaj`2n(HLLpdDt1B{<5VJU z+;l?){+6>A91-G3l@ruXFQ=Jx~9@S(K7Xa9>ZPz32Hm3wK}Sb4;(d_SWIZxXLuFdlyGE)~MI@BKJV_&+j{sljjxDS_`Vh z`2kdgu5+md`yXcZ4=Jfm8c+Vv~3OWy}kO>DcFs;K$} z)y#Rub;O=o8bwv|Y7gUml~nU>Z0f0f#uTcurRS+8j?w%^{PUX)rz(xzNHud)1@qt1 z_dBu6$4{f0+2tD5;&mN=5PyTpNUFsKN2p3HReuuyVqJf#g4a8#idOxgT4u%GyO5oi z(?G(Nb^1nCI$rvVuQ5c5+43z4^^Qw_xANH-Bny=7Si8U)-S0eM zPsafcGB{KhEpFi>saEkrqg$u0 z&n+2-LT?^gdmv>bYGXE86{U_ug$LF}Z@N1Y1uxt0o0}PfmM0wRHv7;B)ND$f|5>wE z=q8$Hq_xutow9K1^Z7>ry5Ly;SHCM!=(*dmH>XNMP|UHPhMUv_(Dd9>)|&o4NF&8D z!%iHCv^KRfUcV+3ITR_C8qXVp%j?O*7Q-Epx5#hoC$msAx7qxSCkjlFk+{RA^(PWg z{}(T1v%0#X!~G*JUpYPo8EKC!H>-3+nS0v&tbH>aMYldVa>wCNw0YXc8uN|8XqI@m zP1VDJNLV#T|Z>y+;`KiyPwz1%`E%-C-hcIzyV5!PvC@^F+@tA7#|Q8G$<3eErF+$~ zpIkqSf??$i%%>GRRe59a*foaTQY*<-;ESP%Szn=`1@tt|f^oV@Ow(h?5)XIt4F z?(qZG1OMO_ESmFaX3cl*Ym2OT=1;zJlTb#)&-358;$vsp*6;bwb^oPn-etviZb9FN z;;~b{bIm`Udif&aJLl7>;?Q*O@7#?RB_8fJ-(fxQcP_`UwD(~3@0>~A<`Z+OzHy^7 zv!+!%`o?uiyr7qO;T!k!{oG!i^S*JX!eW9yul~jbJQodlJ>we}r&qjPDefERF+WPx z(eE3q2mZ!o>tC2_X7PSw_Wn*z};DQ{G(eed}yJ z_fRpE~ZzsRI*N4XER? zb7m-cm|;70b+8_|j+4*@!C$$~J|l-1Y${$C5<>FG6&R!Yu71jfPE(pZ;wQVmxoQo`};rxWl z%`-07a7(`pym;bR4Oci)DYp5Z8gAFM?v)`MYPgU7(?z!z*T8z<8qPjeI^g5D8t#Sf zMxvK^Ikj3UVY&_Egqk8F8RX6=NZo}xblU2zGV9obn*)qc-lAne%=?( zLuvfpXleU%2n3p%Ha%UpTK%yG1?izi@NA-ZLI!`Gp%2FuKQK{GO1u)ZzUjTHl(Xio@&V zb4uT)ZSpH?r5uIB2@HU-`ItC~BL zX8v8@x0-X)Dch6oR?Qta;TKqLU(J2%9P@EhuWIhJ(A?u?_iFC%_iz0t=vH%?w?s-E zTUB$x%ID3Bl&ZNXx*)iU8+@x_v-kTdSPxvqWlJrUH11)wnC|ucauug#GjehLsVYuF z7X(*v&CgUX)8AReZPYF|b;QqC+f)hyla^O;I{6ve`59H5*Nx4#-=I)?6j0Rn#B9X8|2&;-?&VAQTUw=48&i&X~ zdD|;g&do_p%Kn6((^dLC__}I{oVyU-{@S2Ha##w)R>J$@A670 z?vwi;9Gz_XjG41$&zYMsZ~lUXixw}*T)J#|){2#@RemcM%arsD0p_a8of`Yf-ks{T?_`?aqA+xH(o8-C$s`^{9Ew@_76 z*J!EPs&yNombOmYcI`XpcGT;n-?>XygKmc1jf{KrG%+Q5Hnw*5 z4)`6loFpU^zp#8vWK?ua?AW;Ygv4=4$tkJhC#0oM3>@{>=%C>L-acval&RDHPapsP z>Gc0!m%pQvvx}?SK=(l&gFU^xeWXKthYlM)!p}coBrE^_-v0lK@)!Kk`jJ+SZ~sjG z!S-KU!T*I8P-(j2AOGv7|E7EkMs$W!<3DAk|Lh;Xf79dn&yKh09^|vyKeYeaN+f=f z!qQgI7Jp{GLj0NkL_+=Bk^XM~GyH#cw2h&Jg2vD6ladl?CjYzjN@c;Sf&yqq$y{T> z4>rF_2x>*o}a*fsKK4fqMYw1NQ_j0Olv& z6#|nv;lvdIn==#?16u%>09yi=0rvu~0Ja8}1KR-C0rT_C1)8ir*nwRQn17M65SVoI z5~m9+p(GF(06PMk0F(Lo#EF3Egi6e|z;4uv>jUsWV0Yj_z*1ljV1MAjz`?-$bsh!m z1NKBE$OTpgE&y%@Tm-BF%(q|7flI*N z0=NQL6}S#q4Op!eJAdlH{Q9ewz`9`91U3O~1#Ao48rU7U4X{735I7203z%=0wSoC| zSqC@`!nXy^0B#4o8n``hF0d|e0dPm)B49n>65vk26~Owyb-H@3_+!fda z*Z|lTxEruLupzKNaChJ+U?bo(U}NA6;2yxMfqMey0-FLC0Gk090hQA1FHfj0;>bdfHiRx)7cD<4=LxDZ$axR~D`xQyT5i0v=u_XifVgX0Aj0y_X304tfW{YAj) zz!H9cU@0Hof`t#}!viPs;elm*co7Sq$%hBd=EDQ$^Wpok@P&MM;9@>Ja2X%omW7w| zc3?q!cKk{Mm|Y000c^nACCo13?Z6VAU6@_UvpeHpo;?{S@+@U616G;LI1^Y8I2)L) zY8K#iTah#%S$jwv|Gm^5R@#Q)Rbs@E^^r{3lO|a$MI2d|%any9>mZ36gI7`!7llJG zC9A&i`%oZ0vObMC^1YZi^8J^%c!)P1I1w2CAUd^^Rfoipby~!cb%(?y!*}Fl!8qXY zRLROj;>f#dh$Cy`h>ONYL>&1ICE}75$HUSYOIK}^b-9ekKt9LA@kQZvb;O0>5+g1G z@)HO72*D*lTrBKIRwWV_1^bhAb;QL&_*jT98L##uE*0WUf%Fq0o=8ZCtd1j&tn4E$ z7S2PQqCA*A4*c=x282tXDUx-8q$J21K2}oHjAJEh4~Noq%*2P(4@-fQfdBqO>WQVm zRk046)DO~+!G9ki^~4gdcIUtUkacy0U0L*)$SS*mihd4KUo7z|c>enosW*guAv~!+ zme>l_9hYA!W_P?2oHKQp+ zK7CT(EHUxnNxdV?r%&o1$qyf%)I(B!{PC0eXo*XcPd^!#HnH>NLF%U^&MjQtICT== zFhzW%zFOj5BR)P-Z^`jN^MG?h(i`67e39~UqU*{@36OeC(&NjQtobG9k58Y}b4#2% z{`)4W?}YjCBlVu7#~&Z5|CTtk;`=PFN96dtpuEZTKzJnn>xuVGQM3=F+#2f*xlSzc zUi@*9aF%#4M~EklmP;c~q~+eo+Q_?@j*K=~c66UW9a@`W<(f1G%1?)}K&%+>QAn*Ll-? zlIy)Glk5I>X4eOQT%;XnYLBDmzcGH&J~Xu_{}CT)FUWb};|rt5IS|(<=14oz^gNPw zo0JTn0&7=DjU#V1;M*4xBdcNK@bQq6ae_0$Rv|Z@SMr`Ravu0{X6?}+!4Q@_uKnbA zofX#$doM&|{>XZClA1q+XYGlT;=GXiPSgEa`_O2Qr^ny4eIVhbP3j3LzoFRY_xjDQ z>&AAh>2=^t+gjHCvU=8d{j+-Jq$uyE^`_~5e7U*eV<(Q4i>spkvHP~W;(B7`@p@$C&Q7CCu{Wskm-fzJ@CD$@1mdBp;-{ zHKxn*HBganK3{zM$l6<{Ci#rR&k&7QE=%7Az&n96fsX=b z1D^-Z2Yw7(2+WTY6a!xadl~R)U^#FRFh34r3M}Zs%3~d{E^sXHY8dzE1}p-57;lGh zG9_RM*!kx`Dex4q2Lm4g=Eni~al$mP^VbhQ4yXd*Gr-P2->e3n3wC~-usLup*!gyv zA2;O36$`+=1;Q5rF9j|E=G)~8;DcbV1KthHk8|+Pi)uYt`7QuEKTfF%tP6I2oQ5B_ zR0F#S*tY`P0$&Gq2i^nh4}2Lo3V0cC8t^gT4B!jEtAP&z=K|jcE&whDE&}GCmrH;P z!CnD;2bdp+RR^vE`z>HK6INbNfOUZ%0Gj|`0k#D`4D1ek2G}3?E^riZ4saUqUf>Mi zXTYn0mjmYlmjM?59|tZ1z5!eU{2aIf_z`d&@KazlQ+E8Nz`DQ}f%$RL?!YEsj{xS! zHTiK-TdJ3nsP1K1txQNaATxCXF4*gb&-Fpg#g90m4dV169EC2$(pvw$;zw*jvP z-Uplu%-`P&fd2-25%39MejJh?cP#;X2H4#pzc#=XVCTmn`EhKh4SkS_5!e{0SANK z9=HhXGk^^sel6e(2+skRK=^sU6~IIJ{ULlG;5x9gUNSt-1mZUayP7#WzmdTCU^fER z1v~3S!@oZbycq2KJOXoITd>Cgy93VzPJ{f3f&IZg2RI7s4m^W>7O)WPBH%QzZvf5! zX1#ZK9u9CS*mHr01DmvD$FB`s0QQx@MZm*=OMq7ai(r2p;0mxW0+v92t%2*nJ{8y& z_HPTUX2J3^g5MwP?SOT`?gwlFyc*aRcp^g03;fjtm78|;R_C14K+t^hs-TnBs( zSk02CRxB%D$_$sh1@Fn0VNM8@w9qglk`F{PE!2V!A3!Dgi5;y~RJHJ2h8a_Ov z*9o`)>}!FGfd2wE(PYQh7q|rM6M^}8DiYudu+ImU!v40vbzqkP`-9yMSj~#1Hyt<) z@~aQ53--~#CcyE)G6>%p*cR+TJVSc@f!)DA8JM4UWdQ6C_E6vqh`$SP6xf4-MG${K z;54vr1kMDW1Y891^#slZdo*wXZ~`A5xEXK>@C)Dy;7s5;;LX5ly;%7k0M-TG1#ANB z25bwQ2+aCt$(t;hW8Zf}@b~Jb9Ey8+n{qgedhp-3BVcrj=V%z+;W-9IRd|kt(G#A> z;@NkoR3O$NHs0aSY^LiH-5F@fy-Qz#JQ|2~(6a z$%`d@e)+-_waIufIezxe zbP|G$JCo~?Z>QLJAU~ST#@9)^z?T;r?`XVU8S|s>Z2a94_gwSsHXBEaRFoGR_li|q zA8dT7G5`Gd5AVa~vBxUPkByVXD%x>2zQ~WNlks&j{>YEEv)`#9Z^GrD8`wA@KdMgb zWc-OwjWB5k$zSH!_*PRpyWSe@gyR(TkBtM8zs#}mVSe@jn~%`6{;=^PewG5Ulk}U0 zC-FD72W&jAF+XHJ1G!%K>z$1^hbqd8F+bZufbVx~M2K%Oc;>Hop7|@1jaT!tB-lI& z_EuYVd~Ce0F+XfPr}6q>+;}{U$zOhdGTO(_w&2H?$(xsXJGrMemI&$BC(OsdkCX5z z@Z8i+N|etLv6B*QWHO#k-a5>u$6r5|_?jeh8kmKRbNtu)A@fhhXW*a0GykUdPd2W{ zr%sNS)K@;Ygvq!s`CTPGKO_$%1iN#y@!H1nW^deX%4GbXpQS?PbC9ENtUqi%06%+$ z*h%}y&we5EM9BFdzaGFGn=g>4xPP%zkap(&F_Euz1`NYdbFE#mA>y(u}@kP?!RK3iOtSjq%h+52poDZskwa0c7 z&RjHg4^iPgNBUmx>~Sjl2q%VLq?*5PE`85;p@~sG@t60QMK$yGOR6FZ=l#TA(r*jZ z;P-+9G(O)Ts%23psY*qi4if*e+%&49JNKw&=k+;6{EN{Nss_{FQx#1Zc$oMHciT!; zB5Pop74SFlm;ZH$YW|bfM+ghrMpF$|I!9HsUB7_(Hyck?q9~ssEX#5QO~bETNL6H6Mm76v$3hyvk2BTalVhpMG*?m; zh)+`$`czPrJ87LE;j?w^smh8&sb}RmpiD_{(RatE&)nKIps%7%0R7Dq>pQpz$)q-lV{!qr* z=}gtLsS5lrQWY)yKvl9``vTcdwB44fbm3^Knf|k=N?PusnwWEwu~7}x;`w^?J?zpF zj%u-H1XY>Ie5U4kRLk1kW%f69R1-IMrtfPnb8@08xi*Gsws-+m(W*SE!qPibrOoQ7 z8noAE?{n9ZP%W$pqgr-$E>%JLZmPKcQO(Y-qME4Pp1$`zKhBP-?7%3hg6GqyO6#{! zP5gd=YW|xFs`8U9>3iX2Q>~~5n+~CxeJYu1B3emRo?AfGpy44^5&FqAx+{H;ykwdq z)kIksRr%Q2RP$YSFjl=xweatER7FEH>3im-4=kAu@}Vl(kw{fkxs-9wgH&aM?ot){ z*H9GV6I5k=9#bvW`oa94cB1dQFJ9w7HQOnWs;qP()x^B?bo!PiPzv-)&{pH@eM! zvES{f6|Gj>5J$&_I=EEd5&I$QZSO{Y5w|@3d_a`*d9l{Ei^13D)r&V-bu~x`{VBeF z@?pUOpSR+6BB#$K83MF7-F&-_iW)k9=Tl*aRn3v|pu2k~ck{$no_avg&u@_tkn`T253)my`<==WQ(%54nU#o~(qZb^P^Dg1~kt z?{Kq3(>c$?aa*kq9`zFvjOCqo-Nz-rf?mMZL3^2!*kokz>`dmh0!XN9HHCk5*FqB_11j@w)hL zQ)IFG{0R$XbL0~7WJ+;|dhte^W`4nvb||>h#Hpyh}gb+gjZJ-HpIGPre-%}-7}yetxcWyihhxChOZFCq{K}b zx}r?X%10LsSnm2EH@^ki`KYE--AEy7cW-!)Z!bEa)8+e4e+X!WwsKJqdoAdUY;5d* zJ}EFlD%$%(rq0koo7%h`G-;s)>Kw4Do&23CvYymCe*3PDXn2bx^$|%{XxN^KKl&eNf)^-JUUl4oH9e;>R(Da`8t!``!;c z2A~d$k|$S$w?n#P=2w1L(ie>xKcQyhGBGO1UL<#Lw?jSrcYSL8!~q?%Q4V-=-VR;5 z^1keCwI15js^^TMH~OPvN6m(&_}HOgb23)+?5B$4gI~53jMRkl*b~(){CLP1zvn#r zcGZmqxA5_$YG_)SbVFBm1oW*=Y=w*^xjIv)nWHZAx}A&1?@O1aE+Ds06yEv4!v6UP zrDV-EEE;c*Ue0;yd$F|`<@wJkyOz@nZPX~dy=9gIx)pe~Du0^+T2mWn7<^xhY~<@^ zx7n|To?p#8+&u%K+Lc|ZwREh}+BRE8&FyN1wjH$_l(fPEz3@j9S2VXp{hDoh*Q2r* zQXjE6pk}BYaz8(!F5!$d`Vvyr#_*~U+A>sp&)|7~G@@!=$TVMj)MowNUq43JqK6Mm zW>{&8P}wt=tYV!?@%Dgst;2-INb5nLHfdHp(9JrbUMc!0o_&4rRF8=6sM}uIptQi| zC_H}uUCUnGkYE81;=!a}v=&TMVC}hy{OQA#FiCO*YjWWh>HuoA}gQkn$mTjvr zLwViW%P;1ep)r9^QWkU(p{!xYKO`7fBEdDEqy>lMV$&BPExXR-P~HjE^Q-jg#Ji4M z)gNnu&~gpKK`p~f&?t*7XWF&=C3aKSf8#o=KbjraqE7VM0ojc$l|Nf!jHc%=*+2W5 zH7d&OB8VH<4|ToMeq#n_gXWs0w-WmGMYT#H`_gYYpcl30MhLfRqVHC#+ai=M{>_c*)M96dAtyT`MM zX6SPKj3S@$x=0??=9So|D|)#iJ@rcPSMk6hvO819{17KRi|JU~*9OJTMAgD0y^xMD z{8)U39nxEvR~$9;yLg=GqE68Z`{R7X8AfC^h*t@?7E}HEBHc~e%5QY7;X1NL9>Hp} zwyWazbsE>lC}u>S6ZiX~&}@<~a33+e;59ExTfk z^p~62&#>)@M9Vs~&d?fw8hqmxJr?&y9o`zwyY~s#(px!l{)hQu5JJGwA7w0&m`LZ4`-L8ARySvj9owzqSR6NBL>FhdDKWe`LdNTfIm_cA~@KwnBX`MtP=(;0Hl=dhZVeN{74Ndx&OtnF`k4i)*IvAm< z&*_ssFP5OUevj=EE_orpFPb}+t9T;K?b~kLpXq^)`CVw0cwdAxPF84-z3hV8b$_|M zqlFkb%?Q%zcF7P;NqOjn*7ii^I~=1o)%_6nR;yIrF{m4QlsbL#;Jw~R<4stDDB2tK z`c!(V#dAlrOuur5d6XrZobxE7Qq>;SCY`bDS1&<)e@&VP8}}X6U0Fu@6o#z3I_Pto z)YFST9?t%HF`xG5%zCiOF(66owS;M|gx^np zXY}*)quwa`gX|ZIUMx;`MF;e`fIII7Blo-$YpWhiM0|LA8@I$(eeR;lsFxXs>&nrV z9^WQsY0>@3GnT;8S^xbDYdv^xV;^{5pafKk!^mj30J*ky%MP>PeVenmKCkx~m(N@b z?>}71l};Yj$?W19ZpEknhq`xxuez@P_}}O30t}D=12#oDAShmdiPKOqHnsuN0mp4z z6ts=)z?Ne>?Sf#Y6H%!wrC8FfB)};H?Q~S_Wry-@6Y}7{haSU|M1ke?{?{X7DNyH{ItjOcDi);FL<`~ zUBkX#@Wll)9>4C2YoC79eLwaqE`INVw{AZC-#@+nM+;88tl@$em;cy>Kfj>w$14xb z`PzRQUD#SKSa}h*tT=5NG{?&mGE*xKcXXyu< zUw-d+7cbA@tDec%)Od!{<~bcZt?p6>80heZzO760|Q&A&e7lKHrcji1q@pt$&o z(6{cGc-z8aW0x07oxT+=-7<^4RnC2Bu`%N{ms)pmtqX6p*xzd9jB2;;o{r*sUj6hp zFCKl3i+`)dTRv{_$i3DsC*Eh>k=+*aUo+UXZFY(9#J=~q!|y3Z-qjOcSbWQuHlO%~ z31ufVtt#C+>7K=}hbKfeu515K*zaHVKB;~j?L2w&#OJ^Nm+IG^boT4TQ|0V)a`rnp z-$G8Grf^SJ0F_Trama=Ir(usBKhnkSxZQpqYnQ|HaQS~rpFtT}k3(*pOAqdG`t5PJ z*I}>2ryXj#qXiGGR~!uu=iqhn(qS_B!eQzq|8sS=?0;{zcdP%ShM>L=}k@5`1?LAOCSK%Gz>v=llIngRXf+HCm&^mXWA=mF?9=zUNVv;vyj zl`UsLCqiSO5cH?(vgMc1PoZx^`s}o2J|vC06h=&LA}s@ z&~4BeH)P9n=tO8DGzQ9o-rSlke}G_@H%Di}(96;a;mBWl}mQNJx`4k&4Q=4k-ep|G zy9LUL@C`3$3$!1aFqQXYrw|8veWu9gXN&w8x?~P_JD|IuuS54N6uIE6uuMEVESrkL za_>1|IrY4-)Se%f;%HdLRfXlXYr?Yrx-fr`Gc4yG3Co+%dtVRB&(6z`=iiwjJ^dL{ z`^yaZ#NiBi;?EiKCRD|Th*t5jn~PRw%15EGeAs3Q)O2~K+_fQ7PUFKhE8mkTPj+TX z?9EKM`DmtO7i7t&CTGdbbF$>)g;|nuc9zU~N0yvXnk5IJ4=&A;r=W|!pCw0sm?alH zn7heotP~*&CQmwbFyXehHQDIFtZ&oQB&oP7l9qeceL6)h>ak z|L$pF=>p@^!_v1RQwHe6k7z^xAY&o0xU{BHWfZ?VTV{8}Hg`@RkP+o;eo1fwrHEARGY5%bKMptXv zd8zSMYsBJIKO=8RieHV97sU_LIe9fEUM+szys)0#rsZe#uy~kshrC;@$U=ZINZ(!C zIMdB_C+0*cRJ)mU(>Jv?cWi7RuFh*k%x}*B>Z`AASceHE8XabB*w#@$y`seEvpU7^ zGOJI}ug1n}O!2ev;`sHPNj{sc-ns8XZ!Mc~Pp4vOWB85YQu6GWjk9~lFuog#+t&45 zjnj*tv9a|#Tm25;7ibej>KFgSFrhp7wCAdy>=`EgHTYTaW}J=UZQPhi$3L~7bGK`f zTJ>WLn!T>wxTScwJc6{@aVMl}xYTNzw)VFA>4oMe8nyUopKyLgZNgpLt1p<$RzD9V-zbI11gO||chXVP!)g0yey^9FnthV|}Hc386KhNEM1 zG9{;Ixa3r2$2DyxaTgHp3TPN(g+4{_ZBWFy-wS_JAY9!y2f{T?C^ICP3q?j8pDo81 zjgjNqCidsW$Jc5es{7-_|M&!CBU91nQx%Se#<13)JYy)&n7Je4q2VDJj-1elkc`lB z8+}JhPFpr%nKHaBGoDc!E_CH74Dq4C(M35jx+*(5LUowN*x>Sfl6F?X-1KhpROA!7 z5~eYP_!wAT15`uXBj3Eax$)41ENuE!nGo75*&4^>n=LtW$ye=8{0T+aecW;Vqv9i@ zS|)uwhQpbXF;TL^wV`;5e<(x3_^WSd@+g_ykSmjG#>nKN<79GM{s30$8`ql~A2B*4 zqqin?|J`)fr_fe(R}2lykYNimqTxc5t%N4#$i$jaGO=i+Oq@GzAh-XxUi7Lhn4BTU z@v$i_=k}8suT@7=-qDnI6y+T$d2QsEAC~-Q^9sGK{+9tU<22@O<^#oqt;x~qjqWug z(K|;b&rRxGaMEx&sp|NF{Qil3dA;M}V{3DbOokh|r;PPRIp4OqIon`8?p3(2$F0xp z@H+zT0zTrF`|PNJoc`f`*}b-&RlhKCw=A@4gkJR1wSu}QGIIY?=Pw?s<7jk5&omuF z1vyeczbT*&3#jt~>bzj?g#Ho6e-!>B@gq*vgn{w>WBYubf1p>NQiN>e*Mf^6MeiPA z`lGgu)c&a9cM@+DGnewy6ir@Z$txEf#*p7}Qt;4({(@7=4~*;|(KoC&E1p@K zQ5cSD-7y46==dD^Q=T0E(8Phf{&9V|y~o8z*N%#YrjC@UMJLNtK3tY!ed=8w(`GwT zb+dhK41Mi58FM>*ZCtjD>lh>BaF2V4Hf`GcFw^G8=Fu-2w7uk*_Tp_)a}j^<{$i2) zT^;7b&kwk@yh;V8U+0k52pLl~GCqAq*!W+zjBy)!!le(f{>g0^A-Rl6xmBa$WBCwh zE@_naZF3i8`V#bOpT_k0u`>GE?5MRX_1AzMYp7%7P>=lu1z?BsN1pn59mcK{nGSh* zWBC~A7|N-7`f}!RdF)9jwB5F^r{SLsxV4P>n6mOQ!HGqqWnxvbANss5S}XD?=maOn z*e5rOJ7^Py7EVoLt20K(@u8hEa$rP%vIW@wD_P``pCkE{FQ4+|Q@;GUc?0A68MDR> zmvOZBarEhNRc2hOwSApFUPHZ6?z}4E>A1L#d}fW3DIMcwO2asrQZ!bk+@9#iro9zw zd32trqR;2)7&!(x$03KY<96f(=8l51N6NI0Psp@}kIS^8kIA&q9b&YiJlb})brf{Ax7~@OHR66y#5&{ zcB_WTRO}aYn|dqCmHaAWnLay0=R`yKBdJg7vWB|ECW%^zQ%8j(shiEADWR57?f`Y# zm(x2uKCD*fB(-bpNG+4j;mnD*XU7YsWHJA3l+mF^$tJzVDP-^s@d3>7RjFDh<}vER zuOIA~FkHsqr}OXBtgvLEll+g!cc25SZMlN(g7LH`?5TN~He<$-v9v?J1^+DLh?(b@ z-)b0-ix`iqk|hjH);VOdOb(3`JKB!v9UUK4JCgE+MulZmTUKxufaY%uuqn5`HV>Wm$chlWFUN^gSUgCp?=sq)vYv5P1voa>nWy ze~>Y!1EhZ4STx{u`_W%S4nbG?_N?(4d;PrQEm1H>+xEEdiJ_eEP;H<%7h9c_BPY=Y zPMVuK`WKjSJK3)NI8<{)^@?ok%-!R3=^Yh!QEiE3COVS2uCa0Wtn)*oj_>=AB! z^K~+Tbyo}Yee(YbI8=LiepEC)~Z?VjUpIfl~n zyn>LFLSD}TwPtT(OP4Lcs3cUYDK}k|xOK zF;txA34itP#F;uJB$q&cOU}oT@#%n^0zT56!`?#2JwNso%*NIY`?2>^a$@KSv8!`C zHudY=Y1Sc(Z$)-|vvWYMT{}z~E|ch|lNg655k6_|_;_eoh;=r5Ez^&Z^OGDt0ryRRzr;n#Ap{G-r>_uF-Y8SgqKvF@M9_%eaWL&&@Zu1F@8EPGbhsq&AhB*b_exp!kDiEVRpYaBC+4o`p%vol5J2TAKi29 zq|8Iq_glm(y)Yz;olXUlS^w{6oaoT8l5wKVj_tk-OBROYW~lBTj2|xz$rm6W-`3Y? z>T8skHL6)RvtDjsoTOX@_!rzhq2G>IU8FCIlhDSdc%0u?c?P5KjxaX6+q&@g2u|BD}Gd!i}j_{Pwhr`JguZ>en9IGSq zJoDgW)>nSN=yiN)b4Uudgk*EDoj(+q=~!Wf@^t;m-;}8e__GQMjiE1B1@=npPYaGQ z?`oS2Q?{b(L-GW4tIO|~@NWd%e=mK(bs@PA^69?=|6;&x_fg|mkFW;P^^X~IM%q0^ z+sL@>gE@&ls5&*=7?SIuT~4Rj@E?Nqd7J3IsACv=A#m=f{t$m~VWggYuww{K%3-`3 zCzEbZvyJI1^byv_1`$m}l~C15qP@9=BIf-{EEW>?c*SFsPN5nYREST~B= zF@%NPE5tcrNdDW)&CZZ));GE? zw)-@H2lDQr#?m{Hy&Fo*d4V$~UxvCzL(&eFdmT)j4mzXg_3?lD)sTGaYk~R3 z%v;HGEqi8|Qtrfh^y06Cw1u~^0pFQRznNl=Srto2Rt;^7@{_5Y%$8r?Y^B1`v!9qbcM5pYgf_azBebi@71=(Jeip1 z&7OHQZjGydxPhdT9!rZ**2-62R1EJ07{>slIyrETpl6T>=XFqBcMi_O}I)p$jfztze& zcG`-c&)b(rWlnQx*E!U*Dns1?83i+We;q8V+J2`?vvmmcd1)RhQ{9R_Z}xHpnoiFk zLKCe2I^4&HnGbQh^aZmtyujFakJ?4kYdkNh>74o%;Ja916D*?)C9{ zb0#uM)49H$u*bxZOk9V*qNYoC`#K)Wd5fm^sPT5X`1?RFSM^mn!FPk2E2P@Am1_RBvCdo#>etlDvh1 za%i~v>)4|4yqxs%`Fzqby&OKhFOLuR`gr}kob>wf@qPY&y!H0*{yrbyUeYmLu3NvE zxm?Td<9q*OxxK$fFW0B@=)*l8%l}yEeSD8zj<=I9zejJEAZq=oTT$)3HGp2ON0m=_ z0qdSz=09C8bnASl{?lB#g%0;Q-04um{XFXA7`v{+U)>%xp4Z2t*6&vQ6*ZogZzt%- zk#y8>jUPl!XXc`@$^L5G%;P78<)je)#?4%)>0Tnfwr|Zx^;5Uzkos>t-juZcHBoi@2_^#^uAmg zZy|0)l{Z$`h?Lu`1(4_M>Fuudpy}1U4-C3Bz0m{v1?%f2{QX)(_0V+2O+1fYzPGQ_ z&#vPF?Mu_IBfa7@hu*EI`ECXM+Q;kT4rc6k)gwnqim#NLK#>wU!cZO)J7X|^*qP`PRYjqhzS6uy)e zzAlh%D7jwVR^pj(+WJuW_;?<72J-QJ>4cD+unvFUc8Ah$t4p^K^nK6g=k+uGX?3r1 zeVu81O|N63`VZyaN}ZjKKKtyN*6er97(n0h`2_pMPA5mv=cD)%a!maN`hrQ1e!(`f z(52fKNUwTrb?#|t{_A|3Iz7>bi)q8Ae=P(xEpd!4xC>}AI{s-pX6bKjtl`?0wg%k6 zbQ-R0YZ~cK&R~2wMRHugy?8_M|J!=0{f5oj1HNCcbbt`(eqEF}Bv*x=Gf5n$T&1V{@_cRtd_f}BLyAJgE zczb)j)qfx1Y9~c?YkZTBn>!ccR{0w4%cF9q;Z}Ky>fQ+>H|3%{*rGOpSJCS z_ldThJYd{h<4N=<+fP1f{JZ^LaUtQFKWM{eneeEN*J=IAx^FY#aZT^rhxXGy=5fyv zyP>a*cZP{)`pkqdcNPoS$Ljv}6UM(+)0_V8?6KA9vCbiKOgmA3*Iw)y!i2C{Q{^W8 zL%d%fqw(C@-R3jNY<~o?f<=Whe2BO}L}v%jVmp>Z;)?Zy)H>`FwnO#dVZ*h;@LickHTpPeTUp z`6qAnanDSQx26r6^r>U;kTUiC=01JM`Fdj?rj}H;npUEPK z$N&B$AO5jo^+|pFZ*+q3@?D;(F|EtTduIDEp^I@wX6b2kDBQ~Z@te@|Jm!#c?nr%< zyRkQgW#GH;Rh*-q#oFwRFxSWV4M{jd`rc%3fx9O+L!$FImn{+sYi*@F<) zS4f;Cq`wWhoDuh(L)h8G*+KXSE@I7xUkFe7+!AE!0n-BfZVyZGUF3IbSfU?>KMnss zBjaFLdTYq%dJu|SLz?RdZzk@Qr27VP$bZjM;9lI1hNYjpyI+MWiH}~9i;;5?{NtJ`T#fru;*83W-i!?Ce+zk0bO}?oqlDq# zpGn-m;;(VkMz2!_;>L;F%lq>^S^O43>lO+ekSS8 zAPg$}5j`@5yQQk;Cvams|+5$WDV~41gpSZo~)Qc_yl%XH{6;kfvlktOcDSJ2N zEu_2=%8`rBg?NROvj=^Jvi6QgH>eouro6T2r57msv|PyUf(mg*k=-?paLo(-`mj+K z)Qj#>Ef?k3LmqMX2>b!YpkG0Mgx-d7-p`#&=wxU%bRo0|ib9t`jnEe81JK8y&p?kt z-++Dsy$rnujrqVZi9oZV`OqcM3nNSI|6uK1J09^%bhdvH{7J3rugZiP@pv+r`$yjJAR0tJAOQFl5cSD<@?a(Kn z|AO{H--TX;{s@J-hskl!$xty=1;wDv(9O^eXczPd^mV8Y`WbW(`W+;woE9lQq#_jyp3Yr0(11*G>L-kM#v<2D* z-3HwYeF1s``abj`Gyus*hRJy7WN0>YA#@3JIn)fj7kWRm1KI^W0zC!&5bB2pAh`oQ zpc9~3(1p-)Xf5<^Xft#ZbQg3l^f~AW=zGx5p+nGLpv;d_$Iw)0CR7N`gD!%qpv#~- zs0n%xv<2D&TuI8(}m&qDgE0@a^@-C^BI$0<6qJM#4y=>sS#7%t7{7Sw8t=|N1;WUHS#{WR<4sSxn8!)4YEycl$+#c*)H#w56B1Q7Wt5T zSZ?Kf_%^v+J|cI>NBIu$U9y845FeLM$ldZuxko-FJ#w$?l>6jU!}6N^S^gqND++4_tL<+5=b$7Udp1B{7mQ1aO@$KrJ@v5vX38=9M? zeA&C|8XD?bTRPfW6Rys-O)(eJ5ZhSS(%>A;O)XbCwxzYfM~T;Ubi~?PTtHiAvk9ng zj@7lb#p11P9U4;K+}iH^VU{GkE-_qdd`lo|Tdb}l7H?~PcdXu|ZHP6;I${AGorhP` zI+L1Ow^!D>yuQ{IP}zB;=jMyCA=Xj1Db`lE0i&5>ZmMhUGzB4KU0r)DnJpgmts6JS zT8z@hm9T2k6>F(m*BmnzHJ+_)Nxn0g)R#@;DBqNbWn3){vCV2ZAKV->_V>#>gqe1T7A~Bwzk$br`7uA)~h;O znmXE@yD?VRU<(q+SgR;eFylxI)LQcrG(1o)bq0%-aQpb0HX+afD5T?$cu!K7y ztaGC^f%j;Q2MX@&lE}@w0~tE6WIZ{LV6O4D*v2N?OE7P|b7MT9;(I#lDB}87XHRto zLfc~Poy{G=N)0q%Wh=^DLUp9J!S;^2j;8jGrg|5nqml4ny>>Khr1iJeZS)bEI&2?D zOZrB8vIXGc_x~=Mb=0@IR^3Ev&=5t_|CKS_zqz%p!I@)yla<`UR|HHXWlW^jxNYK! zCPbM;$ZD0G96~ThtRvv;v`N}JZ3-|jytLE7jYMS{w={Si)Y;S$PdL;2J6Qz!yKyD@ zd(suKwefWQU3uTfJ#X8Oclp}&?nFz$Bdy0Ke0+~hcsR4Fb?{5=v3R8PQrv@kDW31{ zY^gUtgttPpqa`#|hjtdzEr_e`fa2;5>a9@|X%n5yX_xF$2ufAlxe`g8J19Ed6t|xg zuv!NCl1j5ZE73oaUfTFOz4k6zP;9WDkt*4y5{~-1=H_*E^=4um7o4HFa!pcCad?$$BQT8Uydt zrGsBN7}S1h7*(=9xNNZVcyf{8+)fkgN+@HUP9N)VDp^NTE9-WO*@Y81Gw=<)Dj*D0NNVAnbwXJ&fGr!=kLJWqJaAfoQTEN`542!Tz`@z!Cd_yq4~csIfO`Q1 zJEyX)M|#$@1MhHk<(n)2@luB5^mR4C>~xZT?}`yU*R0oukZ^@*|<#4(*1+u zwV7)Rch01?iGE}QHJ&e5qHEZoL{C6Qin7k(lchC!jh&pQ)s7-Y{ zrhzG%@I-4#@PP?>kY8Ya*07YdvGWMb&iJHF&iDl8W_1M@&*~2JD&w@h3N|q>JKjyp z?S57^j81cYP98iZr_9L730c3DGkL!t>Nk}1+2-&bhYvaYzQaQfhKwd{SJTcF#D5M{zQkTIDDtWl@41R-sy0s!#xh4aQL*t zpE!KQ;TsNf?y>nzc39|ezQc* zcR1JK5{D}tHaOhuaGS%AJKXK?F^A7N?00zBVP=oBv%`qPGab%zc#*@k4%-~w;_yL- zy$+vs_>#lJ4#V0Gc_urY>2RLIl@3iL{(CXAs-wBIF5c1E7Axg+iiN1WtbUcPtygx& z7qKVN4R|>t_7;)fYsku`whng1D_X8%1QGdu){2%!&aOCYDc@WlGyC;LP0g%O_)2S5 zb*$rteRNc#-EsBiTaMu3eq3?wD( z6duj1#Zm0AZDERiCA; z4UBe6jDc2({7x-sO;^5Iu0cAwHn-Ma8EaV7+}Yk}@{lVvWo2D^N4Z(%$x^jrzFqvNvdA*sbOOPY(y=dl{867R-bE^Fn3jY%e{aBT%}uu#%RB>UdL&v8FtcRny#F z(u|&bc}02DTWJpHzOF8mv#uxAwWuu?lP`r7Dx21|)zNSs)ADE)mazHIYL*{mRB{^O z!pk>fnR6&pJu_jnwaL_9TV_=qr!qd@&V$~gOO)VSH?&}$qrAzDL z3HSS@R8M)GB5!9b)g!5eTRLJjt*e?EVx^6BZTt@1*0>g8mDCxHs$y2Z&yW{QO@kJ8 zu3yi|lE~TFt8}BOev+dlV=!Q5j4khE#oSRE)6 z9Y(I|^`CxJt}W}oFF9RKy1n)s&hFAO_;PsEoP+$|(WaN3jM9$$=qrp@{^{~G2V^Re^{Qj?{s#{mz5L>^YvFY7cHg9Zc zjlYK_LFcBcHgCDwYFe_ew5)v5;w2RqU0k_z+4ATmRn;{sR<2rosrgp&|FzQm=kz&d zv&gl19J5(O{&PC~ACmO{^JWqXyGz*4r1xit)Nb9fb*ghe_@ZU*eZb=NpXxuVT=BJC z26qwv>-YWazK9JT^#ApLwO+*zzw{5rFLCj|O#C10Jh=0C`Q^@6cCIv`}!Xp_@DmQxq5o7)vWQWZl0Vp+^iGi-^A|K3%R}dwsk4nr%N_ z4%644>29r0eSDpE>W^gt4}Z|!ot0S6DvpubHnlc!SS2;Q{Z-#mzF8dQ_+0rYuZs*; zt(0grv~Z;?B0>$cIEq^%^O%>V4Uu)R`Z`XFBlUGHEv+39-fA{+{v2u4LnHHW!o*cA zwu{YMA~uar%Xe4x>IIKp3gKdydDJh$Ryq>nY%SK%9@$v8xoKnP#)!V1AVwlQEk_r8 z%y3=^w6}APW^>`YolVWWmDnJt*Re$z_q3wE%2KZ-vsOtNR61*^EUCLX)-r3ArmEY> z`9WD-Tm6<x}&S{rQ z!j@JVr))fX4iZGs!~@9znTx8i`BGWBxJ)YaKc13BWl|ZfhVZW}lhUP2AjN9xt3oc0 zmdMibn)0e@bSx{8D70+(vT`GDN%>MEV{y6ERF#yfXX)}~rRB>w%P6TP1%H#hye7K5 zVp*a~EUH|-DoRw%d|^2buw>!#m72DuVyTe}E2WjoOD}dFK0oy@Sy^6HLVimtmQ^fW zfzBnX4OW#b!#?S$WZA{AYoZm=a)T?DMip0JQFQB|5uxTbt*MU9%&vQKwf&)|9TOO3CMv z6(yAwHJAE~*HqV()U5ESRsZEH7B5*=UhTZrlrJltf8K2Dv||TQ&~cF2lQH4QhIS&)$%BkvFTzT zvZk`UsKZRB?%w#}7uyTfjW zI~?Bau*c#34tF`+?QoC7h?76v;Y^3ME5r?}SKH~5(hfh0P zUS;h)&*fL_FzWMn*yu3saI?eh4tF^0ak$4}ufslv{SF5litAsw4kHc=9Tq!`I;?fr z=y0>c?GAT1+~x2QhrJG;ap;<{^tgVd(~9~rr%25boq0tVXN_O9s=~~DcFN&*uH_|W z&R<+rQl=3q%U710Nf18DJXgJ<%B0gdTIJZOL^(5$*DxBH1rR#n36ZzpzLJF1^qGlG7-n7&rz-Gy1cEn9BXWbR(ZU+zGMORH;i#WA1GJf8vZ zolpg|$ojcQ|8*0;58lmz-U=A4E)Ghe62^WihvXC&tD^=`is;Wck_q@FkQ zbxkep5iu`@BQqM#k7&-k!7Qm-M*BWLV&7s%8td94EwK$OIX1;2ezD&^I~mV3(ssnA zY*b<`t(_Yh&E`UP#{s#z5&B!vBdvCuW0NKGar!hgwWE9sFREh=8YNxdjdfetJVm(p z+E&-utS`0MAa%BI4T#rjBuI~+9&ue=v%dT{vQ3?EOr~!%S?fev%{$D9y|EOTJ$v?$ zM`)(FQqoe_yrsRVJrd)FVM8QQ5t>Bb%XS)xSFxCCi#uUYkVE?Vd>2-+hZtr7NIvBBzyTy@5}q#o;H8#-H#rANXF?SqvV ztVb0$ubN_;R11EWbX9BHl@Yz{JXi%)S_{FW+`pPm)22Rt^J+H45p#z%61gxkV|LN{ z2roJ#yt%!SvQmMm>AWkEUbm!?daj*phy~Lx$cz$L3x9)Z- zsyVYtNDIc#i4a~@6G`lM29-y5Vi9vXR#P5zGLre_M11{QIX1#j;Xx6>aC;Ev)EGj( z3lAm_ls6~h+ea`$P=2C50)+^Mm(hFm$j@bMAQ{g2sW}%+&Vx}7Ms3rJlrPeLYs`rq zlK$Q#h)MOYsxZSyvilJ3`WHiBRbmKCM#zaQu3S#TP2^?u3-nJH?(^&>rxlu8i&in*PTC4 zj=GN#1ke9{y9%s()7HCIU(HZ&RjVwMIsdJ3-CNJgjT{${V}>QKz1qpXhtN3su>Ove z)G$!Eu_EBsO~n%4PE`AN6^kOe=(CZ{rh|QkE!mP1c zoC^luTlq0WOXM5K(x#Tyw#wuStKfUcv~p@P8No7|m7Sg#Sht@K-4LPu-wu~)kQlQI zXBWC4BTu&-ZtO5_b3mMwKiEDd+rMEK+XvI_5Y_KG=nFj8;nwIfg4zt0Q6;0lF|6_t z$e;VVYX&k{A7lK$(39>~Nh$qna6KkQCR>qS0qxW2&uKclRu8DC4zzPam|ChNaub&y1<| z8KT_Qq^6Iiym$8Vc-lRILHVX-5EvJNRy4VIyQ#i@Z1dw<@P2~kL3uP9<+b-0u44IT z>f4>E`*$b)j9n*ijj!pvA74H)XYL!DTEw5Z>)CqZoShpybIvL(EL`6q>*MW0G=Y_P zdy_%sujDd~iNksQMy{J|R3x7(qjd(ASJJU<z8|-Uj*xLht41{T#ig!_^ma2gcrsvG-#1j*Q-w@potR3XR^M(K|JIw??0UvM5f! zbM>IZq!!w{b$6=qz1vPtl#fNY`uo!u<@HINzQ9*q!dVOGK$ci1@3u-;Xk2rW0_us0 zy7lBkQ6Il+R-UsQwFxD)?*`53kve#ir%l$KI6cCtCoSr0PJBRQ{$2U$<@35#moKJ< zs3$#i0reC{-R2k!^yze(Qhz;(Q1mAadJ3U#uA7*0EG>x+dVl2K3+ZVIb~O3eik4Q2xG5z7G7mT(6VY zLwDXrj=STeyubJ4P8AdPqV(X|mra+B8dpzZ6@5MV`&Rz`mA?a}af0_>bi3+h`EexZ z=f@JgPo*;S#8zc^x1R6@-FjlHZh!a6$FoaZ^mE5qdR(CKynW1;T;1+2q3$#_+_VkQ z&+-0UuiqB?{kGp%r@Orzv-3rc?vPckkLTt1^k#=jxX!8CKm0v5O%uH5=I_4wyKw3D z*7%8YBzWIW(#xTDBlV7?-j&ollX`d3+@a(yr7q)Cj<=DvRpWN==e;ewOkMvB<>%`@ zOB3@1$5(Z`_nZ2Gir}j^_byQ1z-g>w#!EzSa@c@0Bwtdtn^$-yec(-;d9Byb8sh~l zS3vpkUVUTA`?g?y=K5w@+Cky#_&Idj7XKR4s^s)B>4Sv{`twmOE{@vx{4TV`{8re$ zb!=fVY9`(mePhP!PF1xo(&28vayOHY@NpGXUsLj-nx^$z5=Cg|^9}X-6YR)Ujrs!9 zd_SR0Wd!f72GVml!NM2mCNE|`E}C9x<~v?x>r1s3!t~9yei?CaI+Lody`6cH$h_9B z(-*4sv4}2Bhlua;>1gD&EMHsWt+~Dn*F1TR*XmwDYq|JLnn;U&dx@WQW1Wb8mV!&U z`l@e`zo``dYiilV#k>Yv2KQ+R4KrF^)zm>%w~`I7@XT-6jg4)1G9UYK65c5Wws>A{ zMOj4aCXtW%9-QtQ5K3_q{`O~~srq{xrsvnr%jtU8&i#vDwMktIZ`hM2Nfx1^%wH>z zVEpvRS~yB;-XX`^S~tgmelV(`gM)zuI&|3u&8&6fzM(O16 zLBd(_W}07E^&vjI_nL$PnYEg=W;r9f|d(4_o6BsiBiYCvDjgT5@yUI=@ls zXk{R&YvIy6zfNbMU?Z%BvqKbiaLqH3zy0uy7JXRE8 ziDZdz)42aeIBzNw*JP-djrv7ReFEc=>t2!4m2;TYT;(P8vduN=*3Za95^#dxb*vWEj(?x{svvGxzMG^L76?!!$;{7o^m-&fXC+ZYD9^|IR2ptKs|^g>&tH$gz)^kq}U~ zjvsQcg`Yily%m-gPCw;BO&~n|zE$x4R^nGKt?T`b9oC%g{@D!X=mvX1hN`z?T}oo6 zWfao=xju<>%jnP=aE!S2K90LgMrTQ0!=dgGY5F&2iWsSszkGFh=?e3{Z%IjIO?er2 z$n;6%=R|e3_?u%Y#VV#z6Y+G>uKxTBMo5I)ptR6H`elPI;SDW^gCq019l zy6Jj`b!w1AW~%X;S~_D5r>R@xaAD5g@k=zA^Hcow{0933qpFvAj^(ds7Ufm;y{1M? z=;n1yN2jxPD;wVwVUWJ2+YO;_(BJ8s?&b9z(m!2a(~V3cu)i~jlqr_gs8c zI_J;uOlJJ&!@(8pT78j7$)*if&c#>FYHYI+5`K}WzBn>ZX={7Opz@d7C61A$<(#vW zRh7wS&c?G9)9QDLpEM%&R9n+Tf`o&*nSDC1Clu#m{X|{4Ix+Ewis!<0eAhVo%s6{q zd!(kdgASnjpRXmEaUR3C4YuL-kTs$o{@D;?!U%@XB0Y`U4E*+g4YhHC|06E~UHEq% z?H~FqWk(jN(p7>{$rzaKdydzOFaDsi#!7_iYngLQV@#yiA0fr));9T|a6Uey{rs5W zd>tnl97&PyzSnc2BP z2ZG4VjRyZ-KHi>-bpB1Xr|NsQw`VoK&C=$s@dEZpgxe;PVz89-`o8pUr7vg2tGmo& z$#+exjP*W0H!~Wf$S-BJs7u#~ji?b)!mWNO6_yhI_w1x?PM>7|GZu4o5t%sy<3|YB zzUG!piJ4`n2`Ly)Ytp(I2<=W!r+ZE`Y#nR9HoQi6N3gUpuGg1v+Qa{6SEC*0{%{VtKW*iYG%Dwr%rBe zMKN=|HnHTLX`M1pbLDboWF?iBDlrZ@^{P3`(JpHyFP#&ee+kDdI-jYRd7S^UR_C3b zUMG#T^xi8iz4g}gRpzf;=&Y{as$-i}cfP2yFJ^zMAMvV>tkj=Dv?rp^PKjR~kJUHP zzaop<>XIT;%90X4b!@8PYi;b{*qH}X*!Y2VtmQ~cr~A}uzDGVpI(?&NA5G^+!NhMQ z0vS0rQo`5T^!Z2Q+oQZiy2I0oPH6g%ruRMcAC13^jk4FzFS*V7vOQS*M8U9ML!vxo zbsPC2;s#nYgJnd&9@*a5+T0LKsP;BDdR3n^`Lr7S%wsUR)_+pIT~RQN6EDKI0N>Ne zL5pix-oC;3W&~u?*B?Pxof3L`#_E%>s;w9QjwE6?nL{NVI$dJzQ&P`qM_rn3nrBM+ zlVi1h&Q3qCn^JZk-)~71cBUb)cJRHER?$2}Iycg&ofG9*#JBP~o6Qeeya600ETHk1 zb#7e8*vRO+Qcur@s`-?9NygVz>`>8D>oE|YTaN!se4StZnfQtMs(ny-1MMoQkH2-4 z9z9k63iIBeOn(}*$o)hqO+4|je}o#Ny}!fml1%l<>Hqd)<@oFzou`daTPLVdWykxuABj41~HXzBe|A0K7 zraTgjlth+AxTfvB24lLs|3H11y0)9;vj%54*hlTG_c-dnHsu`w!Y>vBr&PGzMK1r_ zSo0YQ;_3A$jjx}nQ1tI={T=1RbrlWd@t?i0F65dM8~*3lWja(O@+q$|zXSH~Y!mSe z6Nu-2tDB=gLax$ZUCb~`@f?1r9Eos_pg&Sp^lts}vbtx?G8^q2E}LpR{+YWPMhSR# zf7M_6FyU34@DpSn+xOh*-`um#j|5%}*jH0}Y`(sgZ}I9kS@aZ|gWvTLmz?`a`p(a# zFMP-OEK(CM^85jI9Y@&5l9HO9)5qjNHCbJGtYm5Vo*hirqVxK(lupfW?)mx?JM&_r zC3p~i%;ahLVz1!A_%V|CdkShZYbpI5t!)6#a%UHM4`*2KPY$l7*Z}X3=0o|Fnb6j)vl587f|S98Et|ybeAq%b$N*--?|7 zzdgCRA~!yGaO$B%Pyz*fh1f%iaN$mszGpvWcs z%}g*mk8kqhKOEc+Jq@q8XM)H~;wb(OTCMTH=@a?PKfK~!pg8;yaMUC#Q}HuUBmTR= z0{-asX86hAhoEin-QfHJksa`j;0=)KvkiRQ@x9<-$19FF-pL1x9Isg6_)2g$^bB$o zUvU141CCcb{RAuLOz=@i%d!`YP8PWzUa_S;}!39{Qck~j#r#IL!=g&Gr?7m z%De`A2~vFyg1?7Ue&iI93!p;c7lS2^kAjyt{uc1FkjCE){sB^%hr!XOTK`<|2avXb zK5)`Z>z@yv@A&!PR!Gxs1Hb0@$H37X2=%EQz&1$hr~|wQ()c}KCiAw+S9}iYCca|U znbwBG!I85>cHut?Tm)&_CEzEZ0rWja?+0IiG``|t$17gV%Z|s8c@6m8 zIn*8eGvL@l8$S=c%<*f%osPdBd=1ikkARn+W%XYR-T_;uX*5%#UefU z&jj~CT91(>v`0wGtN1%;4>}Bh6Dphz;FHjP{CmOQL#o37crmvH2k_TlPCX1AgntHX z;8x#r@Lgc;QtYyVyuhDAXTl!jSEi{ft}waFpy=G9jIcJRB9 z+UGg&7njl&Ny{Inl?_ntO3Dbnv<92Q9|XU!mcL&CzX!bNa+@{|=3l}2AO4CfpxRZ# zWHrd2w>9}H?x|yp#b5EG^}LUP-vPcaX8A5Kw!!kxyqoWxT!{|EscA+xXqV~$#^d}s zWq8FuvVc_nFu1uBJHsm;-DG*iIq#)@@h=3AUTgXIbs}HA9{b?`82G-eNLk!wi17kuF+^oLiR^?s4H@KNv=pQ3#d{~-9e z9&7>M3;y;2k-aJh{NaO)MexsoS9}^h;cLOHUDWSt=0Wg5Xb1c*@B^Pi4*V_PFF#Lw z_*cLm?6K`_^%v&A_|Q?x1)uj8>jy~39L0&cC-v!>46Eb7Y4)A&C8vI`XPaYXEW9B^YE2BcjwvT~_p;w5b_~hu2 zJPqFq-gsO{df>N%UxhT^$G}67jzx-V#)M?M#sL?P#eXgB6MO*D_`AT_<3lnE|3dIS zXaN8F!Et$(&jU}M5He%tba27MkW>=C7`z@*{kMVZCWWK{{|4}+eBw~o5%7FS^_dT@ zbo^@YBaXiV{DI^9!0`nknU9>w;3}vael@uHc=E#jieG~^<9`rbaDtV;8ho$guK{my zyyCYZE$?$+-ek+q1m{CWH?Y$2iq|`S8+eD~6`z0}A>Uqb%86D^1l$CvoNjRRNg+8v zocZ8;p~LXkfM0=XFQ<;c(3Ftm!)Jo^(0up?@T^Ek4idiztbtyDSFD&yy~0<54?|i< zkASa1TCOADcc2fd3ufoYQEN@P**pkk-4LP8)!bV)rJD0wOzhV^9 zx>Fo8kFkI?XD-+XX?-c~hBPn59p{DQe$ws*XP$3mD&}2a{T1H>X<0hJ2cWx&zYF{| zq%seIpPWy9;ok%HL+Y=%>O$HT{;R=)ccL5oWbhG4$3w;I7ubBafiFRtwz!ylA>}*3 z&p3WJ_;bhigA+<@oP2Nrq~$6GzX}b&KL-9{VMvC*i?#&jlu>u^qrlvJ~t6MGjhT}6Aha|ovWY(WME)L1X%gGlxmEe*nV*uK;$$ogn18c3G1K_!r+w#r>pbZg6u@BNXiup0Ca}ju@ zo6#SB9(c({%h!PWTd2P})+gZFR$E_+*T?A##NP(q(N3MgD_+@&Kk=Kv1)K4QF9t8& z5|T6F*Mbke4_WZLz?N%mzm9`Hg>-Fs0Q{}`!yf|sucJK^U$Lpn+OrwVyxz{Cif=-9 z6Xz&+!d9DhI`~OQ+jb9l(G7OKt^_aGhMm_j=74WQXTtM`on#!O_RIqxgy!Qv{3h!0 zX37E|-5!#kK)NnE0RHHMT7S&%VE!#OuQS0%KSZ0ve=qp@t;|*MN5LCzBQMrJ+rS^* zfu5QceC?wlIRbwKEVzsE!cPW&vjds+*a2+%7-`{~!OV}_HmUgAPcU9-9B|D&*cN^* znD;5hJ9xzoNXwsWB|XULazsp56JZF#%E*ylphOWH272(*hhialSUAHhEj-uzYcW}eyu{{Cx>SNIQr z|Mi$1({_VXAGdi;2XBQ`emD4}^X~<}^922!w9kO^p0s)@z8li`&0t3_YX;&d#=mZD zr8wd##u@x~gKt7=&!gaH_S^d14Yq!RF(}5~5PbPt=m!4^_{VS4R^bnWU-}MZgWn7O z=({1A4*wjO{fzBj!@(mzV4aM=Vo#qPdljcW%bEfI>0rY_$^t+9myG9-w&67=l+e=~UEl(5;W)`0sU)$@Xt^Oyqp)7tIx-_@Lk{=7to&7 ze|}gdT}YdNkASbe6WgkPF>#^Y@ZI2Fp-14mO2TsGLhP(OD5YW951$KmK+mW@cxgH9 z6TTK)v=|%0N5Q+6U_oQU>1*u3brgfRBT*RkS_j!Ii5CgRceS zmr|GTUEq|#;3-A^0%#2z)Pi%2sTv{@~L$QD*o)aQla7pYYva*@tOQ@KNv()DJJW(zc;j z;P-$H-PjgB4i?;oZQ&!}Pa(OIwg+y$9oxcpflqt{+rsyOQ$C7q;S0et?xcNc{JZFD zJ7}L8A6)b?+9!MzeD)sNr^W$i^@ODuz8GwNl(wqz!OXq1Rrp-6=PBAMe0)D~zCj<* zIN;k*qsIAWST;d%^#_0bU37&X08jrBc7`tmPx>k21AGtIcYtvfz8`$%d953Gu=(fM z1-=X1^CAS_3$8xM_yE5L-1aJC0(>`k_n)x4#y^a0Uqddu{29HDU~`QF{s=k*-w%G| zb^1Ac4|w?-l(U&~f!m=`@ZI1;P#%0Qc=DT!f$)W36Eq#Z4?OKCW32jvPe4WL4_@&W zZ5Tcd_CaOv{owk)(uUO^oc%U!7`_;MNHSzCd@tA?%8&;59&mX$Lz>}h!AGGEjRRI> zWXLt}QE(5mP5r@VGBe~B_jc=pcL-_!H<5d_VY= z<1*whd@uOcm<%}zpPQQ@AA~YDA`>han<1m%Bj6$^4?YTB1x<$U0(V2x;d{Xm<1*w- z_*`%cRHSjhZ$tCp`@r+YXGj@*G1v)JY8-G6R0H1&4nS++B`-rZLk$`SJY@p*hc5(I zK^^~3d*>ePMs?WXlXxWy>LyBSg8~K=FkE4Sy?_A$*YSqfAi$&xL$CltW$*=oUyEPJ z#tCaMAc`|qixUJj&FZbIH^l@cb&X0*&`?OW#Wdo*Neo=Tz(O2Q8Yk^{Y!yO=PN#o# z`bXoL-+Z6FgdebMJ!3;FDxMZo{|9MqC^+P8>xx$?@<~vPF)Ecap7m3cg12 zxC@hqaz64ntdnhc2L=N4j|bu6FVa75!n+Qme>oohgzUl{IR9|^$7ApgvRjUUkB~ih z2fj}B;x0UNGX3L0crHAQkwth4*2xmQ179Jla2FmDq<=gJ&m|ji z9o|GX;U?Tcw%|6L_$B(6qq#&u|t$#@EO z$Q0a$;yC)p{ZJz_<#>2I8J6RrL+0QvJamZu@gTg2T!P2o9b|zV51%EAa0gBe(Lb)j z$H*$&hMwc;ANRwrkd3$we?m6l4xBob{&5wKkgd1@_mDg;rj6s@Vf2s3;GJX}o`R2% z?RW>iPIlrh{Nf4pj|bs7WEZZ(Tgi)f3fg2h?!bdiH43@|gyaj(wPLShaa0dP3D!hpd<0h<-IdVMgl6kld-zAse zLgl_e7T_wpkSxMu@D{QJPr(9Ng}312WIb-fcgaRvoHR~MBAf6aoK3diIvgQeaRY89 zdEA1Jk{WKqcgZ$foIFk(LAK*6oJ)4%IvgQS;Rf7HcHtI$l)Q-B@Kv%Kcj4zxp?^FG zXOq3S4wsUBxCy^alpA>+_%NA(ci^*RBJRL_WHRobIZn(VQ*aGlM^3;EXpxzC3p!*N zci}Oo(m$@kYsfq~9=6FPcnA7Uqkr5FN5~>M27c~z`p1Ltda_C$huz@c=Sn)q#Z~lhHJ!`j z@Uz#_xpcVrdOF8Vc*G5Kj;rvH#dMAb;Z;lM95>*uWps`^FlW#?-hyLm=p1+9m)6la zuEM9+)43cEe{l<)%H_$n*!4Gexb9wx>apEsG(h+XK!|$LMT!lB@$(qMaXe8-h zI$XGk{&54|@-6zuQ&4QCf7}mGyodgA4eld5!_(Yxl zaT^}mq$4~C4{OoCba?#3^pC4BM&{uL{HyQLKW@QkKcIhHgL8J!Kd!^`9;JWjaQGkS zUpid-82#fWw0F`!?!ezZPXD<0;W$xzg8uOqT=FFS%kl93f1-cfg6p29e|a39{m=A| z>u}mL^p9)s`Df`Lci^7q=pPr)j}v{eOZp3ZjxWi?}LDcFW`No<)k- zgImzJP7!-?6P~?95&Li*KDbm7{?)8Kc+@gQ1aKAJXec6xo3KMdxD8LeQ4uPxNv=^u zSdNDm+@y#I9)s(?sqhRfz8AiKry`=bNGhU2Vz>h@ODQ5Q$HSw)!~Ad+PP$j&XLjff z?z~?SCT_#Y4=5rj$G|OFMWk>G{!LX8X}krGd5{j}7#R9nMUF$yhn6#8`i$y5jNg| zul=b<^l%r>oa7M>uE8`J!!7tiz{5Vn82HF!kLcqa`1Y|L;k$|TcAQ6?PW-qAZz2KQ zggcJ+h#+pm_*9Pw;r?kJG5$o4P^H6zr+Y+LI=q=^cnZd6ctiv@;6tiM=y(T4PWFgJ zxDFp8OXP9*23du>aQ5jQv0jdWuY^5flROS5&+>>ZxC*t|9COlI2@I!OV0X}#! z9pW8$+@*9VkHdRO0Jq?~B#4Xo9`Rce!u?S?yqpfD!<{6I+i=PioExsfdq@Pg;CB|# zp>()?#3Q0|JluDkN5pV{+#`;^f!=Wy-oDr)3_JxFEcJ*4Zos#ed4!3J<(wBu;wH2W zk4WJTykG@u2#>*yD?P%(Q*iSt`o%36y~!h5atu6jtw*$R724}qx3~jC>shz*IDF$4 zzJ|Lnvw_a>7JTMbI+x>N?{?O$bhzPe`o~jn%Vzq=EqKxv`d`au4PX8?{o^h?^IrOw z$KmEQ{o@uq=CA1=S7CfBbHWX%e3$-lKeV&-k2~<>JpJPuJgZ3mxDHpA=pQ%XJ0yyW zvPbM9G2DUOQQiZ$VW~?0cnh9hr+-|7pKa1V?uQc|qJKOH=RZvUcnp@lNB?*W-tYtZ z#|?PG-_bv=!RX`qKd!@nCtcjX(<453ob$xR51Gpobd8(v)h_+x zE_~}L`j=y#_J|{XME|%7C;kil<3Tv-Svp^b!wa6HXFLX{y-3fv2BSok$6GN|#BG>)i{9`Sy!{=%A5Xy>-laF(fZuwbbH*(g{Uu%DG5F3t zy28b8JmR2nUeUt+a5HJk@zA4qMMoZor+U4ji)--w@m|(0y}{K!ujt_>9QJ!z%N&QJ z#Kl|ifiHMPUpj34iC2i5xevhOCVGVrSK&Q}ctrrW;Fd$ZA|xHYPE_25k;A;kJ zhgGjg;yOI`B(F%}D!iYhaSQ&6Sh#UA=Xk1Dl<^J}r_m?whtHnw6&>7x>KXKjYjDCa zed0mbB|Y4RH_xU|JO$OSdc~L=5APu^ZoyxWJ}%~X#VbUt=k?)-b9r4{oZ}TgJI^a7 z;x2r6o>xr9JMe-Fy$=is0P06hTm)u6=>q!1+;F7-{xa6d}4vdkUK5)r% z2QImA;F1X<-%E1y;J9RYa9r}S!EwnK1}^!_flGewFAlt~Y)GnCTPW;KxRO z|IhI3#8RG`dEj@)XAPY+T^-^vmpogQU#6Wk^z}>5IWasWpVzr;(ZVG>Dq_~q+L4t* zv%mbu2M_ZoqmiXo^M57f1(vOxHMDxgvNKm+!{gr4_@u)|K`y?k!ztd%WiTiJHDn;px#*?v~!e7RsQlv8uzTs&vwQaLNv%5`#f&dIqsk@x3= zc{Q))^?WRE2Sx6PELaWdz*afHH7DUls z3>MX*R@95JqER%9siIYE6+1<{=oHiN@gilvP!K|r(~C$l3NmG ze>qrI%UW44$I3?8ET_s=xmE6z?XpvL%lu<#G&rh`YNPsSY}6PvM^mHLXlt}HYL7aj z?x?8vE5V9d(JFc+Rxv7OB~`I16lAeigFrTz4P~Rb80Vhk+|xM@cG%0nff@9fgO6DR zm`A7_W+oBl5@j}V=94U^%Vp-%W=37+)MHj-%&X7Le9SGt>_W^h%nT#UG0H6C%rn7E zlgu^EY|G5I&5XOuxyP)>n0KF<`EU%oJpEgdhN@~cT-Bfw5%9<9ggiF&f0u9xfW zdbi%IkJbBiUn9^6HNuTZBie{J5{+ad-6%KOjc%jY7;E$!zGk2qYKEJUX0#b^CYs4+ zx>;_vo84xwIo9kqnSkJDpIGZYD`17JuobbQR@_QhNh@uYt+v&*dYp0J@^P*q&NIR} z#xsdbGLz1fGwn<_)60xy`Was~z}g6BBiU#+o=s$v*)-RVymES6JN>LL7vQ=H=OVc% zt0%$wN$1MBcCMT2<;HUToG%~9hw|ZkBp=Pk^ND;ipU#)_?R+=i%a7&zd0!z=2o=JG zNFiE?7ZQbJAzdgJ+J$bRR~Rew3%+8Y7%GN~kz%wMFDB?eP4{hj@6ma`=qm+Ep;EXM zDMd^1QlgYBrAy^fyVNc9N@Jyd$;X-vv0@{v)_6HFSgUQ;X^%D9FZ)=XAy#IDRT*bR zCRvSTR$`Y`IK~R}vHC)lFe@+0s!OoqsMgQVX4CEe^%dM=#oMfQmzC~km8-09oz-oy zvQt&7+NyS{cGY1WikiO`tf@7vrq^OMqh{7pHLKRDb!v9askt>#_t%4UwXW6mdaQ2L z&3dYC)m!yW-L5-zw=Np~MzEnaw1(b@HH?PYNHwfRtI=uL4X5EYMAP34Hr1xq)SI!U z(KMT>rqygUJ59UkG+ntKgZ#{$T$YyK3RGVk8y{e8T* zk^8j!SBSgs@7}-o5l%jlK#dpb@Ow0@r6lK>=1j|6d-7a+`_Hz|`T98H19xbZ_tUr% zb>20`)oAeECRe0vK+gBTEPC|t@vbJ@2<_k3G_Fydt5n|QWiJQr^cGiZi|e(+6>D?N zI$X6b*R9C=_V0Qj_PsDWUxd9c%I+6u|4Xm~CfNhi?1E+X!8SW#m%XsJe>d#2ANtr4 z1MG<*cEvFJVuYPB%H9}fcTBK9CfOm=?2%=5$u|3Bmz`2x?EP=OOvo7+AQUV?5n_WF3e_kxf*KRj zNeJU%0E?~mwXNFA+uCZYRWV3kO$d;LYrq?b7rfM-F;Wp*4WQ2V`|W+sTtd{o-}gP= zUtgZ*WcJyYwbx#I?X}lld+mLuU9;YjZLwH#@FWrzODlf)=N13I`riR0pFaB8(=AU8 z*?oSiHMsly*)@xoIcjgc`NmtX|DmJ$`kQXLIpp~M4USvGH#rvHxn;%s*O_rgEf+XW%NlC296*a(ts=VX!z_!%E`lpX48w@Z zRP)8vpFM7Tc9+5s&9u?CgmD z>EF?8OO-@*z>=4RZdegQO5-a4PL$bpc6QpI!(yqr?AC?Xhpx9+x}Qe^U|QPn`&uSK zUa-YwGMnYy`AB~pfE@V!c_u*QYrCvgW)y8iTP^>Ae1AP9pVvUoQhz$qE0B*ko;W3+ z!>HDB*oX8g|e|E(=7Rx5^wnhKv<5?C}JD@hVg-?%kB~)#mvsjI6bu8#mW2+Z}q4gi_wp!Gf zRx=Xe+hlm@*$DrD;pk{lqNGih*_HfbeT8atsng+`&05P!-t}p5RXf<(_!N4Hb$2%Y z-U#`l4dVXw$!PzHNJTr%)0Cx0WkW<2|zabWEb$%XN(pkxgRn5u=7N^e(lBb zx8p+jTU2C4gMRHqp3Vpx!X}rr^{#I{i9qk#RAnNx+u{it_6Trnx(mr_cIx7JBrzjPRHK zHi(W5D}*NUUkoNh)rZ1kkj7CQvJuRiBf*rh5q8whSMOO_md<9AhP^|z7a048*GTB4 zvhUDsbxu`7j~V=n-b>Pw0m1(yrCkhy$R>ib1hnG;?WhVK(hi14v@Q~jCj_vA+Z+b> z)Sd}8Y@HzzyYwtHNR4f1ON-p2ANiArw4asAxmQ2HNP!T+WsZ@r#^+0sX>3m+qpuK^ zYU!A~tXIp(bWC2+r+)<|l1%YCyR4Qpip7iG&3N~9qWKn!LARjR9Udge)e$){X!*5j zHAmt7y@`aj=0|PA(f8Rq5^wo5t1k+k@9=59oMb338FD5=u4HIbGUSjUF*-WdhXC|0 zJS}+c!Seu~-{Sc*9-?g^W?~i3>yzsoapgT9*{oyHdy?P;q0lM`o&;% z{(b?iLDe)eZOJE+kF`gUCHkab?9wMW^h1|%RDxGF3qc@g9BC_7J$)fX)%NOhWeFyd zJCRYV1^Y{I6J#PIqEC_+qfb%yFNPmXsO0J!l%c4 zH;Q%|xMD&C z3l-}ZwgL-C%g|6l-m6~-$Z2wCfk7ZapMhYWps2A+utdm&jrm6(ycw{M0`@40b>}O9 zy*)WM8F?d{NexR#iCkp~5ABSQ;`?CW?*iUIjlK*m|L;XlG}H1BibqTI);yVzr>73YCrdw;V*HWhS!E zYE3{8BOW*zBPL_Ka*RhCX9Mbh<5dilVWna~qo2&yndA2S!^XJ4xFsan_Y^RqI>|a~ zUP7h;#;wT`>>}tF=6qOkh|0wA(w`Avcvx)GV%b@#c~Cza6M`CjkXSc=62b`GtDi;Q z$5;RtwwNPSOr56=h|KZDTF{3aUyB)%JR!!{JAacf&GFUoBHmN;`j?L{1Ew*)1la!L z>+d>XVSI%zE)^0bRKwz|xjKys8>A4v&n z9YoLm!01`KvO^o9S*}q63iljy$%be$Tae^?y$%nmM@04~-wFSly~x?y(1QENaPC zHQMAXMvOt!pw=Ef*HAduhy=A{m;N5Lg2t^Z*`Y?d6KeFYPA^_iiFV@HpVUwHsflj2 z@iR5Y_`)8(7F~y%M<#4Lvb(ZewF~6+msnQw02dKRjXPGz4A2l(%Q;k*%mDx zs6MJ{ude82O_AUV#>M}qzH1>+^M^Mon?u0b%yBSsptYmzbm6(hpabppZFD`cgyIt zspxkYy-`M&r=oW;`av0OOGQ7;XmS*)dL zi#6L5iA1Dt#PZ9~q3BFV{O$zULd%V@EIJawyJc`Nf-N$rsIhwmRj_KxX~XJ|l>}qC z6-*Wyl^XRs9s24&fS`a#ZaZmm+a?l3@q-`02ka@Z=~c|A{oJ{N?~Pm8feYqe*Ky`( zi{(;0emvLWxfM?okK~U*O3P0HDj3VJeKV0jfB3X}8^@fFMOgN}#M_IMn;LgP>ndsc zSb4AQm`^Fd2+$f=A}S!(5XTgIV-J-5lD1>Y+{V?2mzfyfmyBPZj3+?-RDky<0Rnm} z%1P(}xxA4~`;fz8c?wTEo`ZPK0Foc!Hy6JqL;E_d7W^d@s&;eb(Y!x=5mnf;{T^$> z2vzeI2dcZ&CEc}J&^ixNCpx5~btg(<;baY8!kp*%J-)mKOsHNrvo7u?KOlFVk$V?& z_Zv>T7AbSu45X71C2dW1rqYrCf|BbkZwRjc>_SA4>lgVzo1T8O0X6N7E)i)EmJvOe zs6lZbNPZZ^N~J_C$ht@w+oh~pi;B<-xievUWbe#xPi1R#^oQs+Bj$?kOv_rFN@0h} z6oD&^F6oScBzt3}nH`)WB5KkiM6tGkiq)p&62&U|N2oGFnV-A-Dr&EDNZJ`MD}NT&N!y^K+HdYipHDVA=y8J;BabE~#^R@v=$9Lej5X z;&&E5&jEMLPo_i$#9`LsYn1ke=sm0n(!MS~a$-n>ExO5#_uiqMjr`?bsfY>XbvAm9 znBKEA5#E%AjxdRNmUcIV3rF; zu1SgRkQ2}8ct$N!Ts!f+&^sCb_b`MJp|MT9<3)^5arKx{_}#$P^o|5Cxw?`53X|9( zCb98lCEb%tgIQzhuZGT&n%|+XRQVF^fk+!HX2C4?v5AV^Z|y^=b_5F$WDX{IQ%PIW zlKdV3t!qtmLg!IEXzAKZ(1Cu%1+wBl2(Gx$2V73qmb57@bPm*Xbe8OKsc!|e15ji- zvq2V96s9^BOP|OIMQOP-DTtOI6oRPr8-^hAX)D)*-qCF8CtNBaVqyP?rv4E%{Uet4 zkErb*5$YeYrhmkv{UaXgA5qmmqOO0$>i!XI3l_3avZC4glpj-wWwbMyb{W!AR1m{f zW?cW1i!GM_!t)HCE<6YEypQK3o;=X;Ts)WIxe8AOp6l`a2G6Z{*5Wb8=c$tfrk>je zwZ4R&LpS9qEtSb`>Ul+UQ`03zH5> zJZ*kuI@Ie%c0=lo{fIXJBUzZGgfEO{d8Mfq{D)E^)zju944Et|P?}~S14^(G;KF>$ z+6RGv0g~CGjbsM1z2o>@%#Y4Av|XP zW!hg&Wdk(E91_ifSq8t^;UUnN5RjHrv#9tL>(jKYgsZW@D>j&dlGgzlclo-#+1OKw zV^nKcMt>BR3%|I6{*G)C>)FuI)R_VWglr|BRdJ(Dd zgZKxatEfT*qYIs0zxH1O+voTnO57?jXDJ0DMyhSDMD%kH<$+^m6wDL8R_LA<{kurxxPzvQChppUDg94c zZYzGFFDn~!|ANr!^6ZE}D_d#)2?~k!sM;R=r9WCN(N&}=8g`LrSWrV-Xb(_n>ZqWA ztfY8!V8j;tuEV~WXap4c2|Kc}Zy=D^{ZoNAkwroYsx%UwLV}ii0kK)dR$*~A5-*FQ ztJd&sV{SgtTeTK1+NxRn`0S*1}?bQ?<#(i7jfRy%tpS+YY4l7v4N)*1vH~DcETA z;6^(pD!#k$OBGP|Iwqs-h!y=C--dxAhC#dyA-NwT?4u=zu$SeF7MA{uYj+rkCoPh; zCt(!QXZ^uy*+hl8xh*uo8_zgp-EZ&<*{)k2 z7kodWm7^kUOG-3A)n=?v!MR0IHlcn*>nj6hDlZlpX#!KVH`FDEYSq~AY&~~1RgDG3 zl3S+4^3EZwhI_H6hFBJv5*vPwU)!!PS;e|hoU6Cwu9$&>`7T<>nZ-1t$;RS81^L8kTcli;Te~ycaz|d6IUy@3 z{}7^*l}2Mj9xdh8CdQ5+GS@UgZLT+1JrhdJrpIAQQne>4p$rAIICP_~Y1P>8^%bj~ zWdN4cIB4xLB-Kq2x9p+o@#`s2*3HE)HjvLzT2zE6g|P0u=x9$OF-cpqrgl6aXYb;G zE`}`tdss`_YN;&+EubPe-cZB}rdi^{3CXixS@%f}u##D)XhDk`+c`?pTZlyag_ZM?C7!-vdbiyf++>3Zy0%X|65$=c98o5S-s7YrHZOU=YjuHa6TC*l5Bz zsT^#t7wrYLkAnPhTA@JQ+^`*W4`D&J`F&`Eh|Ld=L~Ot=;N^z}VoU~aFnN&D^f}}J zNl=(hf=8JQI9Z8P;wUQ*Fdqz6&GcTA`oY_aUX4&tGvMD;sLT=`!N-go6 zXy$hI%Ppy1m7;o~nezmgIK6))+?q_d?=zDYX(jho?*I+*x+G1x29Q;An+Y7jv`(4E zMSx6$-G^z|MG?uASIENVT19hZ*OHQrDJa_|lvJp~(^as#LE3D!vRE<9NB#5CTUD<>1N$ASsROKnIv&MfFqMq4fz3k?m=9e8%&Ij7iSxial} z6ycl3VJ{!gV|ZS{!*m_bnFxFFe2nK?-@-ZuPb;2(;wdhH{Q}R!c&hOJ5`MEF$2p%A z!k+A#?W1bzO|EyY$1FM5OBEMA=K45T9kBVe#m+!ACiHYAw+x)lsiW71siRa`_YQu8 zn3`&X*b7`idxRtM`PoWKJK~{pJ-UNyq(3;}?j~$%==zOq7{or$aa#R4jj5y{6#!mr$RBaWfOJo|~gOcNWP^laO$CY)1iLyiqBHSUTtYd?jef~zHXUCyH39tl1 zocnl3w&m8LfOYxH2=zi-%)5LSLdTRbFM~v@za{3vmy~svh`@0uR{f#h3+U0AnB3wt zU8CKBqHZa`qq9d=#=8Z>1GS~d$7vtcb|@_`4iX3)xa}hF{wj%?eJv+3VA`R(N9H24 z>nPEt7|bAZ1voRD0u==)=A%etK5cKRM^to@vi2k7NMZ$=g+^A;LNf<*(%6$w7?7-L zZ&DKj(JmD8-n2~)Ag<5jY6H96SP~S)d^ZHK0$33Q_t(;5;-F!CC9-i%z%5y??>gT+ zn#W7_M=PN1*rOG;DN+B0-pJ>d{y!N})>!l-%dr;_N`Z!w8J2O$uBJ66Z5|65E# z+mv-rArSR}w7siRWiCyYxzH#B?Otgajz(Z{8uek0jn9UDCtCg~x=nkfdT&PZju!FhAozR#m7*)z%92FPd{4nE$8H z6z0G_Hg=~H`4iO+_TX5uAIH;&8Leo)1IooPq($nA<_RWXQy_6a!E^b^HlZS2-Yb5A zfvx@w#D|LP=%3j|^8{9y;Ow)D92~KG^m`y`HQ41Oiij^nYN!ZfZjT;D8s$FHia`jB z(z*Vk8u4Bef9G>5I0o7+pNb9y+AE0vm!LflX==5g8`fb}u;O)jQKuE{ z$0)G?5Q)yYKwwCE>PvtL(m^|=M_Axv$Nx}~3*?+C@Ve~a9mB!}0%0ck zi(K(R;1CmX{NohS4@$=DdfsHr=MVy8?t$*R)(NTMneI~7!BJB7%Y8u5uYFinguS~X zr*_Q>fxmrWkv*u@SD{_M6s%U=j&|${#>S(~ol~{hpSq0^YoF}^ZS7eQLzrFX!n!)P zU1>Ri+7JsqoTT|b9h1N`HE)Yr-G>|<$dPkGX@U2QB^oT62e>c#w3pal+ZutR2%;={ zST7Xahj1AXsFJA3TZ0 zFZT-Ldl5?U#5=%Hu<}Cm(ttx!F!N;5pRSXpz*FWwCs-O&K%E$Bbr@<99q`feIk z2%CI#X*wSfQ-hD-$i$&2c>J-IMjKtgxDI2XEq+ltrjb$;(`OOzYn^39?VLi>rH4TE z0VJaeG2UJ9)08qnng3H0VRR;t+_L;ik;@^%<4jb~#-dlUe08vA3?xC18yV(x^({Xg zcwyxE;G$ap8Ho87kdOc9M3R^Wi(UjVDJQIR5aNU-$eRnSgt%*NOsnoEaXD$qbHgV&RBMwl=;HB@o9BvoM;G05pvVaZ@)wi6J&Ht|GK(ebwb~ z+QZ}ew#D*eJn!N8#uce&up8$ zLzwmzx%3zQ;a*j{MJj37F9HoZ%V%|k@xLjK_S|gOTbr>34 z>4(G+nX}(tbeO7OMWFgMOx>b$N;tJ`xnoFpFuMcIMK8Xfw75|MeYezEi}#n57MFZq z=v;yK7nPPm0dZ`v(vl-XA4s8t)Yp`jqd)pi5Skv;|Vz>q^sKk>=N?xqPk2Y$@|})s+ObtE&RlZ5+1&ts@YdfThPtWusl$ znCC9q7apu8+OP`$NAv#Bw|t4VGEaN`zEQ)jJwkVev9|Td#u9 zOR#U!WxVrFc3OeI#06AlmpF{*$3-+EAYPbHWO3_1L$sXRON!$UV>XmR=jRNG0sUi! z#Q2FJlr*J@fU*8C4fWXUubT`j+C)@5Vs$I1BTYzZwvS{{(TdA<+>sT^$BWk`_|=B8 zUw|XHxm^HznAa7EVpcJ|2c!dgI{Z<9Uzh>6paQfksKlI~VcR5vTH{uz)zK`-SSP8` zXct=c+(s(atPzB=M+;?S)QlVgPc9qc)F|{%)0IcI_k?x%4JfkE=?ag5z-&XeY`t|* zYY$t1@RsHOL~8C&o`G!}JEY*E9f)mT4l}Y{)~OUcOwiGLh?tl?d(f!|(13d+ZUsLh zI>uf~ntz%YH--fe`nIcs%eebcFXh5I{8At|JTq+#w+E|tOanUxVE_(jbFmOQ6uOd& zZBJXc0Q;qdfvC^jJ5d?!#jM{jLtiDgEOBLxr}j zYE$j{5sk})o%-MKOQWn=&@{qkc+h!g;ZR3e$$lJZ@kfURt6#;ws=xG}8t8c8LB80; zMc0aE{Te9vJtLKM|B1jf2!X)@18kv7za7XII}SDYwEf5aBe?EplzsBb_4bYPn1Ed-$O za|S6;>RQQd=2o%b4{T$@RN*g;iWcSiV!lOaP<;`2_8WAPfsKTCVdKS$ZrKmleC@l1 z*x*Ju{LeDMZh~$m)3HzGd8R;yCk{~+4%Um%C}9tm=5EwA9d%7nwE*gZ?@t1MS}zUk1E98TO*(36g)lUpl&BRH%k6ow|74IpEu(>v+^@$jNe3*fU^U-rt0|(A zo*3AG7i7Xn2@FIhw}H%Ql1`ukT{~4fPc&d|va0ZpOti0_#Ql_`=2o}K?Z}%X4g%62 z*gyfDmgY9FfLP4oc>V4`So}qkBuQamxaO;|O1s=A5##n1-F+W&MzckqNpu!S&XgUP zj*j6UpXt>FGNqv`Po+V4BHqN%8;y!p@y zw`Z=ip=6*M|8RGII$YZkt%O{bm5Akr5zMSwv^zC^zGnaJ9k_RGq6^yB?!PVm!&mIT zm3U_6HC)C~F8$lE2j|Z8R~=wKj@24m^HuwCn~=?OOP;dsaRj&_ck{hpxgoc1CGv3} z?Y8!Y$VP!}JfZYOr;mMo=ex4@mbGxs;RL^9SWXl~B!fiJYlhF`up z$L5->nYkYa(V0HepG#t5lJUAz1ck#OmK(mPt)n%KY)Kw3X$xxm;1}SFS`Ae?ZFAH` zco(Xg5AgP@i}$mUTF~wQw176zji58#7m+~8KQIG9iRYmz2)e_Vo3XV1$cLR$?V!@k z)u`b#pfn%C3uoo$@Qb>Xbx$Ker;pW~r!}kJ)26IjBjUQ1)v#n>lIv=yhh~dYc~sd+ zJXnU73MZuE`4Bt66_cHpM%={-BJB70-Hz~J_%*qmp)r2V@2-K1Mpk`+KT4M-sDE7; zF%a`-V5WCRm%1I|H{?d!IN5po*O3(P=@kp&_RpDm7v2%*L!g)>y$A$}#H_2i&xwkl zdT5K)pmt9WjJAetdJfD}1tDh@CW$=(tv#qk48t=^B~H5y)k|4KLFi{$r>oe-rf`v7a<5s0Ng6>7743h23GS8&gyf zh*Tu=eelO*E2s~uTFX)N0mMdR!fLdbClcs#nzzF&u`Ug>RRS`S_8CGUQg=4_@EQYO8rN-VZl8oe}|~q?ms)pOzex?J4N)|+$G|di@>?-EYNZdQV&ZZiA}1B zkqIk-<=vvb`)CoKCOgb0IzLd2Es{WWu+WKC=V3o}UfzxnDxaNyC7>r;WJ`g63e4W0 z24e(tL05bJ8cbpaDjXP;uh?Oel|rTza#UGE*FkoLDn*N7l)fx~BTC(IdN>ayjS<{C z$lwJOp(%dNcJy+jFIQPxfVEZpW+)inwm!or1t7# zT2Kn!=;SxG{ViAqZVF!FHMSGUwLgHZI7!K4NX~m)#W4y=DI*^+F~H(*v1rRnU@6Rv zo+K~Y_c5PGN(J(_cj%zO#f_H*-&a<#~1zCC~LBch7{oJ6+c7ir^< zDXXeQB|w-W6y%3u9Pa?NNvbN6%0YVUUrbc`kt+TG^1;JLcA&cW6DbwX1GhKl8Mu!m z?jQ+}i_~3`V^Ny#W+4;Qd0rGIWhw+HbKDvPpbTg2FE$TAS9cm+&lspQ_JBp{pAJ-d zLR#q;VcPH4r{Ni_cV54eg0iZC@h=A`h2#Bu^^1*CCIk3cmC<6+)`ci3jfvMVM9o7O zoJ=lVKRjr$l;gP>PdA?7)1W2bc?Qp$cn0HCP$`~A@tiipVz~m(K0Ke`Ijh2Axf;)B zc$_l<1J7f4dhwi(Ni2PaO|u8UMF>`7*W3L~0{eiRm?67J&E!PJt#i&$48%R`u49u|`sc48M=V9lBTGcjp$W7a~y?1Fg~ z9Ho;}-#LKPXiR;%ZU03^h6psWDsxBt7E!<*D^D?N(E`%LqhSI6A3rf(>$i{lCgQ750V?1DXZZ z_w)s#Ltulji7+gr(bF>ZSnsUwiH&_n$tTi7we$&LNyv*$UIaooeAmsFde9o6D0(?U z!azawa+edTqDuF#3U%=jA=k4PL$lbe=QiLtRP{m%(J!VozgvGru&7t~KT@{OK9?PT z8uPt=mvK__bd?_S9kzhyv${jQHm0@L^Fj^6h8Bq#8dX9NnmCyqBr!~OQfmFho>H~j zq0#1LD*bT7HH-z+FAb{$4T)uN!}Fzx3kJ5;WQFXl2iW3NR=uV%DX=tuX^vQnrjnDI ztN}TRnh1OueyGB9ulzs8uWMyGe(wJfe&C0+AurAd9t`K1XG&aP22e^_b3J6Y;D$;e z#3!XKm?CvnP;H1DQOGZrBNs9MGHhm!Vt&CrDb~TIDTt}0SBOJDjmT?LF|UmIWU>~D zyHsq4X`id@e;=%7->Lew8{M7dIZ!Pu(dF*uPr?^)1;)~uoI<|=2S+k6;J)Ne{n!z# zh>l|a7YnkfRgA zvkfK}iS?oI>NKQ-@V4R22a60YHE%PJD@UbyBq*L-Fmld?OSrP;W90VS?o`(C91eE7 zLHlBTFGejKnV>{?I>ULLB7|g|_o=rfx}xG8#H&=bPt_%#U~~n?73=eFT zq?oy7j^H?lJ}E89!6eU}&bzM9I8V#W9QoS;EoU73AI4EP8iynF{&77F(I;Zu0ft}! z_K!Qvkb@y`g@2rjp`#2HGt`F)>K;u@btW{YSaYCNT!kj@gOJvnwD&>e$J9IQXPMG{ z8n4|s0dp|PyP(6b&2-8QCD9R(760ek-S(81;RrfkwO#NrLIJrYphcep+$<~F} z0+`J*2<8>08uJPS%+HlL0+2SrEVzzV>Y>CWmx@iE*@ugcaNQlPLuu13Dd zQP!+QoKR^vDPbiz{j;F+xLwi#;&$ckLARW z17^~R5J$jZYHaohRGKpsF?}Ki7z~Bo4_kvGdH66R)n-Nv4@9;&0=S3(rNSFIt2xB1 z7W8bt>n!xbHjFwH#rX=jh_&}2x-On-jGS;m6mzN&zo!g!dE6p7UnGZ(VQEyFd8{xw zUpV;k1?G#v2zYM61kSBfoNcG&R^NLE=IU79Cu(dII~nNBr~-;3-Fl!_*lVjWDVzh( zg;bJPzbq}uo1Wy*hovPsnB-aRx+~mozL-&!fEL)Hs#?xSkaT1#hSEsR7bDvk;(Rd@ zGT1+o^To&>hB#l0gdF#e+Vm?a3$8c#2kW_ zat=vSN^)e{yPQLk>HX+$?x%g-e!z0<2kb$czji-h?vKA>KEQr}i~9k%H;hgWzA6lY zuFU%@#QB^p>F0A;t-&_`$MXYN#GD_zbzeO{BwaIl>Pk63j4`|?=$jXe<)IThFh>kL zLzEgb1UyhDqm6mEgkyLY{G-MEu!Zx(#Q&S~LooefHftT`2N&jt6qO;x#~AZN8Zp5M z#{BYclsD&>%<{57AhD1<4c8M!t=M_PmP6(RM@Y9(F|V6R#DZed@c=zg5uEF*!tBsB zrr{DS0=sY*0>{KYEDW&Rg$X4&sUcy{E9=tlqi$D&JZSB%uxy@>cPo*~h9-0;RnRsE+^i6HMNpa{L{1^u4ua71#_7-$30GTb3Kbxggd3^v)KFVgo9+15a8IOqR> zmS+h>a4tTYhik+pc>_4M)Tc&=`aM&})WO@))Ud>+kC=@dn4yK7kPH|W^NWS^VoT@P6`{w(uGqz>6VLtK;&f&d7@EK8>aMKc9H-e+hU!J^lNrtx{O=wDDaOhp4qhYj)$uCl|RUQBmSjSW9j zO{yEyF_q;EovP(P(VWf+&d@v=5~8yJdUcv!53_rCDLu40hvL-K>osu~` zupesrGtM!1#4GmoF#etr4uK_~2)D**)kn4Wv8m^KItN1Lq+!Lf!HN|h4AVP}5NpRF z;1?U(-#|#%*`UeDZP|&MKdT1X;n3E-Ab27W(9p=|)=;ird#@KK zLx1C3iHtnvtE}09On%S#7@Y_hwoW*dV}pRUPI%}43ZX<-q;K%@rMRc3>pmEh@5h#5 zqYj&SAiF#97S!eExkc3*WQdy8tkGwkl%BotsW;)=08K5DII&~ zKf~(b0vNIuM?TLAUkt>tH{jZSD?EfNb1y=j@cKR4I~|)rxo4SgIBSs|_9V0NY)kHm z^@gi(?ootTsC97JWm`V|NA}C@C+yl5-dfqSc>l_oR!h+_ZNaESM{JUn_W#)MC=|#V zwf*gEJ+KHGd-YCSy;Q?^ukzgPXt2lWkB;y0M;G?wK-AXt(1sG~u}4EaHe40J3=UOm z5>BDf1*4)5j)M9YEu>(oqLGM$AM-~oMbZjkO;5RRLa@Mxg;KWnWwAfqyI0IQy}N}G zrg!_g8r;)@r#$VMiSRG*T#LtKTWqdjuE!GQ2F*7L+wTq6CA#=C1LJcgn-6!3l8Utq*+J8JVM=9&xLI7i;Mrbv|SHgR>2N%g^2dZ;=;M_pD80;zJrri1K zuqk(TxDb1VJ&x=!I^CZC*jjY@Rbc(@-clUlfv9jB4k>;*P~c!{cAW$NbL$IuNHshh z@aEnv_6lKZgZ*pm}It+~6tM2O)YNFi|wFOWSE7PxudVxMPo+*MX z+j|;s4f6NcxcCIc=zK}@ zrO|FKJY5h;K4t!o1!<>>py(_w7@+5l{P1a{*SFkW$fQdVHR7=~lu29&Da{uAHhVgEgzUgQ7r2Luz#?!Mq;;p(=ea}n>ioNfI3h>PznfJz^IURBUlxi~A>4+yRaa{p{_C;;o2k(JRVE1v@>f zgWpLsb)R~F;u%paZDSfwV(}_)FcL5BbNE_afGRFjeC>6}^vD=Uc4%F2B#toCO1CEj zKjWSH^b2s!?dCPW))F28O*mv%WA)bUgN73E<|=4ZswNRuHQ9h5CUV{cX_Vsaj3h(o zG;J2Bvs0f3FA^<6h?{tc!P{mSRm}B=w1h>8@M#X-PejySBrG!gE0*E$Ri#8$uiw9 zR)jp338x_>o(}zz>2zQ24*yF?)u>%^xhYE7i1Y@)UcIUDE9?`nS39J=y8W#|uvga( zXs=E|mHwO{2&Mwkv4Q39fMvE8mRWim0}M<~R+oP444Rw{fZ?!u5+}=rQ>caupnTfY z9AaM)wIL{Gg-Q`b^RbE(K~T`|tP#QC4Aw?Pz7+v&DyCtMZ2`{gHPh`@;s-}l1HYSy z-{OJr`|iN_K~lnJB3elFe9=ic_@x6(!K6aG+3;3{-#q-*;Mb1dTKo?GGIUIT+ax}2 z;sZa|Q|Yy(01VrYSm}PQ278(fH3Ulk_I^41?+*z7%Q2S~V7$16-2n8YwSav-k!`?v zf>Yb@gvqxv2=zZK+pNI-2))r}%3Y>zaOQUB&ueP}kS<7g+}; zZ7|uuJky_k(^+3&p!y~bT%X{V$`rrgL)#)^zW-tS zplOdJ2{C4U5DEJ^bD{TVXE~@Hr{sv)SQ`cy+|*w5ASQ{JCO*;f zBxSnsiI(5Vu=qsF0}NwwsGe&`^VA^m&cam*H0fY1s{a|V@PQUy<*hW2hNO&DSUESI z^$;#O5RpSU2S5?4pe|Smd8^&WOU~5Tx)<@IfAJ&@>?5vdg4bPaT`m0Wf?AvY0URWQ zu@>e);`@$ozLii@N3?% zt^Wc$8sggsxc{G+OH_Z&3&O%MrD(==+i&~`m%RAUM5-0`j6T#h$PUy*2VM!I6#D2k z995_9N6);vUATdPMNv zUWlCB4;ttoHg=2B@@?efOi>{!iu9l&G1~$(GhPVoMrO=MMubL;T#2<$O9DEpQLJEt zE2Gf-4TrIo5sBj5=JW!iA%4SSHPna4{9|98uQ&T7Z_OGhri* zg>O!`_eM6e-ymkHi$e>bHP>I`DQfs0O-%la>8Q8;wg7zS1UzxIDykN@Vd)>gNM9KH z1}+m3*@L_<-*zss!m~wx5y>pjg*54ycX0(40*P&K{iqFiKCfS87-%GF>G!2_Jz7P@ zoaCV1z7oHX@tb*piMUMFAg$5=vhNBuIQn%0{ddwj!Hr~D0w@Wz(-Mo5iIL5elNPvv ziPbHEC%f)taeu=ITfMQq9P!0n!s4|B=OdJsBj|)^g#L-pvd$C0)z+KOh_vl^`17mO zXrvGF#pEm_6&3N%+b@-THx-~k(=AHmCxDC4h{|okjC~&p=Xk_VVFQBD!hG6U}DcxA}I%%N#xp0;K!86Cuo4k$$l5-O(PY^ zWO5BK65K<~7@s62if%?xX{zjTq@^8O5cqBBdX+;<2x;u-{IMc=Pf)p)LAV5iRaIFKE;!F7i^SxrbD>h zgx_X7KgaU~o;`Tp!7~bJuL7ec{j(1XgU`Z@Q0k)$;Bee*pKwOBr znZMa#n-<~aol&bykb6wnSAw?-7T&Q9>yfAzPr@7)+weHTz2&?W6DcDaZo|}hrbrnP zxdS|SDR16n$`6_H*+iBZaRXC^A+U5ABL6NUs}MF1BEsLCk+h$Pell-fH1-Q%q~VQK zVp9p<$fIv-nRd7=I!+b41b$ccy4aZw&V3CeJO<`$) zuL{q|R`=-NpMf?+%Zr&~T`S~4EN2_Hf7EK&gkR7nF&STFi?%QgSt`LP`lZQOz9N?A zH}tavs1}A{epH&ji9S@TN2}V$o&~o0iSXB}<@sx1vO=wX!B3m}5?ub5J*QY#$5Y_* zGR#`kjk9&$ovq9PkW(sPEOs0n^pj1n*RYdA-v-L(-jH7b+uNxM!7SB9yK{2^=aZ$dSf!8!or7 zM)ArIjYQgAe$RqY^&s$GeSQ``6LCKZX;;9hq*~q&iuSNEiSit+9A<+VUepDX*pmG# z^uJ6)hg8qVL7$1cIo0g0=s17$mP&SZ*e?9I0qrQnyU*5}6O7(sGvZcvc=2Y(Q;5fb z$At$>;j6)~8xParOMOcPo=U*1!c&_VtPM6bT2Yg58uv%5t6->e z-~rHO#2&zw0oXDCTL#D4Wi{+~TxUwI`q?-V3C!q=h7kZa;>1ew@;T|u!W9WDos|$v z4(^sFKl?{6mPZrCg(7sat;Q)8*D;6>+#-S7hz-w#;k;3V)l^WPIRFS}_qgHkC!p=Q z#ip$LEdugFV7dbHaQYVOX(HwL3 zYjXR4L#h?#q3hH!L_rS<9f$Y`Uda*RUv&_l8bMrf=_3>p`0i7gAO+fCd<0XH;!%>q zxbPM`*P*F2@57Cep9+B(<`+o#F1}6^x{Q>-^$PGA-Kk&wk|4$igBa+{G|;3&v1b`B z;KB%HN2jHkx(?4mp^Nv>{;pa%=eb2`kr8o$kZ8f05`ry-!`Z@^ zEekIc#7BgfMX}ESiaeDp_Pm&^LXH5obTP7t6D${mjNbw_id&PHN+OQ{! z49(nKPL#v8I0NGvyN3n znX0WjfD}0kFpqwjj6F)FDB8kA6#FgKA}H3Q+mRa3UNdAyRGdmANsJTL**rqMQ~#+4 zcJeQ*4YowNJ-!}A(Vp<4MEP*79EOw`@Oo%JJec6xRiIEk13m)fDi3Hu;Gw-~lIQ$R zUk>^PsLX`PYo;9!%%w9Si)Om;K)}s}`@u{v9u>lFMejEf<%L=~hT)8gSWdHv_FP#H zik4USqt4a1Gj3UpKf1&bUE=JVw3Iav#S95M$=!Q9HRGQ_EdX1$h|@tZg}K0^d_X4%`&f$M5f9sB>t9s8=TR(f`qy5vq@4c#bsFBB81%%;9#D-cd z4~6(v+^eY3S#Dq>kdDqm+h!qQ7TPtd0#7BLDmA)cC5j-3eUnKmSR7r*s4{IUrSCao z5R869tadm&$$j`&o6gK~2l^ekDU`;$$y3lK*9&`x*kX{^))SlTZUpEzrnEeXkZ^$Y;fuCF*0VK?W8R%`c+vkcl^kAQ(3*=B zHi2s)7b@W>0xd9?sM<2H*oVS-))(2GNFEIOm!VIFPWR!A&k)a@c?~&!?Iz4j8p(qX zCh0eWHn^dXulnH0Wd1$+<|(iizySVfqRZ3QFjduN;c5U%6*U_Z;tsWO3t#lv<;*T2 zRhv#7YW6HQ@9@5{2!nW1USfNqOKsf7{GOxrPoqJlvxe6>TUR2&^xs#tscPv2tmqPX zHtH$*O3$p}^>LB6ux?bV=zDEyMS7mL9M7ymtowPOA4wa2E@3 zg~93riSB7omplg>oPqYkS%f#M0%{HXvT}S{9uAoW?VsVY94bBs>fcUGMVU#Xge$R_ z>B(`7qTzE0elfEmPam(W7+mhc=6ErXkcHS81PPR#hrRG8Yd!|0zeV)St%lVG?9 zNxZoSnYa>zpmFO%comnU!dH&6un6uy4HwgsFI7);sja5@NEnmUBzLFZCL}D>z(@Sr z1Dr^)jd$z@d>{eaO=Z}!FD0hqIb_H3`_?e})*1)KgW2#8EP}PiIRD~PHrn9-HF0$? zi#xnWarIJ}wu3M(AdGVf1HykQP47M^Ml;Bqvs#wCU-Ch`jL!8bt-=zGX6Tq@wH<8^Y?;$_-4Z!bRKm~kLBHuEc)9eNS&F6xjeo}Ul5!&eg`T9Yv9Gs zIKl$&AY3Yo1Hd5$c_tXoL|ig!^D-7c1o`14t`F$sSVh$rQxzxbr27~Ij~9!hc{sC` zq8DqmHt9PRaS8%sGiUk!haI9obxn_F0wY+hJ0Nf>Q>>=jQe< z7Fy0x3CSIwM|*o_wYWiII$|ZjV~{;4cljS#&TO+d{CpH`H^6w~=b`}p32-Buyg&%2 zUWe4+`^VA`k{_=CyaV#0+R=a|Y=)PQAXNC@yzEqeExtXRHH78_NXeuz6Q_xN!>U) z&+3iu7DxV%88;n(n5XlqgJ%#cyX9J-&9Y9Gg{BQ{8p?kAJA}~47b*U z)oSQ;FEd~9q%hE^q94y8@0Rh3^8)`lE>;d6@n_o@OJ6qxlacmRq&*o4x5@csNI}lR z__+e#JYH+;t-_{n*R?-mV|&fMAQ`s#y3_U4D9cN;^~bBBfs! zvi*onk@vtNle~KnGRfP9{`4$>i~BPa5oop5-=Dk_;x`QlzEXnkxNWF7z#pH&T!8TW zqznios8x-Bb3howB@BbpFHfRaltgjG`RM(IQ3Sjw6EJ$-AAccv7x7Mpgs|roBXRmzI6thx-R-#PWG}1*u=yb1a$XTQ9h$@mNHH~+$ zJ=Rb#n`k#Xu`z_zggaIS*I?S--1@h_1LdarUsxgH93>7PXCLJ^R*PN`Cw@9s`_JZi zpJUJ3$UU8t9r&?yPIj>ou_?#(h48*qqmzp%y@fHzrSf_+{Lxrvi{9*v{#hOwM*XJQ zL||Fct>0P7#RU?C0Ytj`i!^CJFZ_4tsb@_j6|j#)3$e7M2pFW$nL^D#CkV4fsuK)q zU?mN#6Wate=qQaf#f&Q9DD5C>)w@Mpw7d!@6F~AkDvnK!Udh&()EPMtb@)YJQm1qB z7=}PDE^l=AH?u5)j!5E%=A)C{x)X5-czLzw#Wbd!pH4sA<$xrT(G~qOPt8G<#5v2I zx(~Mj^9X?MM!+~DA?V0nNVPL%Ln435`zPr@G5rqQ>GOQB09XMJn6sqfoAkUp)`RE#k`ontp5_!PfIOHWN=xEK3;s^^OG>5RO(OEJy3)m&OOh5un`?Pp5UgP1T&ij| zu=WOw1V`acwd4pkJ656=q|Pz+H4J+JzC^Bn;|dlN8zJTPdz?^CD+7o}~`U>!AFMxf*HATy@;vA6m0FE+S`Kb=; zVTSAs=?wA97uKT;IT-2#aMNBeV^m@X%>~3KwgN5nm)<<8&S97gX4IewIid+5G+YX3 zG`M+G{olZ|&kDa~4Cjehg^T_SI}{`|6&7k9ofZzP5?#mIDxO)iF@PeI9zQtYLl{9>=Z{s7+17<4qamMpO{1dssdw z1d`_*DV*bfT$XX96T9U>_+N9ECf|Z`@k606O+P#W=~Kh~)8U^jinlZQubIia0N+f1 znCXx9OGo9Ra1#?B?3ajXL}IpxspsED`vWEupn5eT^kPIH96;D)ohNW+4pHBhQGzXh zDWfiwQKG*zM9GnagAe&bkP`nVcI!B6;r;kOhA=63uReYa`^)vI|&X;%b?OmBae=*;;G7*2G z{yB`92wlU3H<=L+GeW}uHs9Y$y+cll`6K!AE?@8`^ABQFL7hxLJ`6A8`I1b3 zk5P?A`a!-lCDZe}GvC>sjf}EFACdU}j<0X?byxhP_#tTV*Z*DmyV5A6YOjjM{s4tJ z--@*&G?8Z;xR$#H5g#iB+0;1FJu1`qZ5(Tzw^FvltnXC#L;J!114?{3d}VmI!0N>_ zaPi+Y`{JJ&{ba&7`X8zBkA9SFKVP#V#Kh$Hdl~h7Qzmi%Vh)xN(`Uf(&jf7zg8#8e z2QyOoz%55+{q5H<8X{ZWnH!wR!F?eCKG)J8U_W@GZG8m*_X4t>3eFhMvXwo^7x%oL z0n)_(DW)a2JFX+5i1$v8RQRWA3<9Xs8x#pRpLL6$NI6u3}VCJi=zk9 zQhFO;3W6i+HAo`a#d{4x3Z6kAS~0iVC4ET@lf+X{nQ~2sB(SK%p%b1Yv&=8YtOGgC zvBSW0v4AGwEd}KE*`k!OTRIACUiAkU5?I zzJYRI&wn#fiv0Jp^jgYN^X)jI@N>A73&f3oY4Wjv>3LtC{t+C8 zI2w=+pY-O!w~8GL?;a_sP(*UZFHlBbokn*PSQCN0`Bo+{08Yw_YG#<;58ISH^)tEQ zl;otma5DY*FHg^5`nq48Qop39ME-Cd@+^5bBTpJXv@`kV{XnGk$HPqD)h~TOeprs2 z>HN_7>wkwId?-bJnEPHDhU^cB6?BLcA!0nAC33za1PH_uWC#TW`V0RTLQFjKhvdL8 z`T5<`fc&5Tm>#Gz(~Hsq*r!ABI`Pj0mgK*87`OKE{uP+`ZDn%e zl;kA;{f6mdpXgsancl?o(SJE5eL()0gUspt@eP#wdUBMJ1EcAz(R^9`t+CbkQl#F;*B$u_2$*SN%#{In5Z;`h9d z-W2@wJHB3kYxmRmX#?ZdKGna&O@4yK0`lsV9X$PnI9fbY0&*aoYB*Cq<02$PRG#=$cYN^AJ@uY0w*8B%ISyLumGH3L!@ICujDMw`P(#{a^1`E zFC~#VGVcapIe!bN4m|)cNy#DjO}HvTp$KaE^8^}tP}|RMPPU?7e4YR{Vd$kP_)Od< zq>29G_s@9I4qV7#b8Z)$=W89!x8!AG6L9wfcFteXOGeP{H3p7cWtP%8W9r8vy6EHe zG!N2!q$5XOCwL966GWT*=Y2*q7~3h{r+(&{Go}unb%Hmfleb_Ii~ty1_89oUsKT+4 z9+`YM}c)yYs z6=KW|x5kcy0An2J;m)Bs+^5I!uyVB8vIb*3hVu}tktrXFP~UPalXN;6jCiJ+(BF5Gqc zQlRLwDY2aGYSGJqq61T7c}>Whqp$(MFGo%6G=xA_AAx*k0O<=KfH?R^4&C#Y@n zX)pUhMTdS8V=7H1?AA}m5qUa(4HCZ~F#EVtiUnbQO79kf6EgcMeM-alP=N>hSg1v< zFqHmcbFf?ogoLI`sfP($Or?6uGh)Q3(CCG{xdOT37d*?sE#!NJ(9SVhy)@-vtbz}l zoGZ~=n1uzP72-d(M5weGCYg`2VOK$+6>@Zc7x3u3Lwl_lt4&g3_X^cj=ZCZ3{Ynt+XZx-;|EAU(6 zeB2~yg@K}6o3VaWUTHuCTgYk*hIO*}UZV;G-3YRC5G+P;r3^|IN$Z8PS@XYGb7X5} zM_Pgv3GtF}+I>j3D_55Sv^G^$a-28t9pGOGl-Y>z&T*Wpa6V&kdYsklbH~++ZOt~%Z zKc;+ei^8}Y-|L8emZSDqV+<4aHsRc<0|*_5iZN#flPLMuK?eFB*MN=-%4WaFWTX2JWiaK zd8cc6-8>p`g|VL((5!HP4HmT}_qWCU+Wq_w3Z~)O5)=#f$gO-^hc7zUM(k~(F{wV2 z`?n-8R3LiR0pV7YydxH^FI&>vxJas+|X=*!_pt z1TV;#Jxzn-#8=}#659>-^EgQ_M_O^t?t%eOG|2l&j6Ejnbe+^)P*F!R-UIRIO&EP zrnSR9PZxIO@Nw`i{eENwz$a4HH1VcQAD|9Jk$m3?cyLM z^fvqDPDYCHJ<|*A-0rvAa9()p9fOpndr&q|Jptpik-oCXo%;__t9=xZZfuot!=Wy_ z;Fmmm4;EgD{md$HUe`}S>DLTMj6&u+hMyo~4V>+}3} z72bVYkO3bFhVS0C-W>SpZG(?p8$8E{`aIcp<>FF5?M>e28fk+!0$R70AB$34Xc0z( zL(EBba}TKBc;rg97D)5-Q9#pi+u<~=2P;Xq$iq5qIQ#~)XS&4~#u`os+hP5OTZ`jS zu7qTNgOFHQ*mEsck&tz`_d~e^n%A+(_%u};Th(=2F0L-10sNl-#oD{TM^#<@-?>ak z#NbRcsi>f-#)qLG!~&Wa&>5K22~H#x)TE{{ZPdonYATt45(7Bg#>1ditN7Hm_VTo} z+E!~zgIY`gNdV=dt%BBy+CEN5w*Sxj{@;8)nRCv*@3q!md+oK? zURw~WXqa7C(J;4&JTr9}*-Tw=ytf5MpO^LrV>iga@=ahYZ%}xd@J@^r74xfI@hvB5 zPuG#XGMQsK9*-5HZ_Fjste0_zhmlmcVL|##j2gZHkHwHG_bHm<#|L0Y{*f1Sa|b~8 zWKncIfUbKU;xXq8lV3S4U4@T1_FU_Y;cZ&jr|#W7i%LkkE&1&2@{Lf_rvkY>yLN|2 zv7RnYWlZ~N=%Qn76sehK{B)pq0)5Q7gd!H@sIZ7zSSs2Co^1nb`pF{zdTSo3QWw2- zv+kiaJo^cowbs1n-N>1GfX!eT6-m?%hmb!SZrk6392@VN2l_7|Zu+tS$eo-~ZT4h;r~9R!jy-@`Ph9}|paqctD@ z`Y@~8etC)cB?+DR2v?YOZIM9b>?zydS_lWz8bixx>#r?VlGa=!GoX%~vR!R`rHgV~ zFV}oj{3oTmRp&J%jY8*}LjG?-8nynC+OTJ*Iv{;`L)A@y28%zT|+M@it+g@FCC&InRci z7fY{41sOD_z)k-m&YXa;2kKmc6XNua3m9~3FTmPopFTG-ST*9qanJq>8Y1ay0gw1& zIF5(yh6|WxW17q=GIv)DY>Ura8!DUcX}jOy0F$E`bJ|k_9g&6(PDW)WW60gqZ=EW` zDc&zFYc1y(*XAbLTp>jlf7pIPtRd`oYxM#&L+LE;@p1xz#8hM??#Zyn#+xcK{~Rhi zsf{zAZB3tDxnnA)%QH$%a7!gn^JQ%2nHkGQRm5j{dV|WA3oGS%$t;-A zrQPB-7t&aQIu~V?;{rx*7R5p#InS9imWC+TI8X8ztUBC^s6nW~{L1mLyST$sv0{f^ zJs0+p9+WWDk`RU@10iC<3l1UcB_-AI_ z-+J!m<#a{{W<&O6bIi?QJHGAP)XyRP^y!C-f%4m)jy+OMHvon`m)u<7 z++IrnO>g3XdM^3+sEoAuLw~0uIJU?lsw*aUPWp?-mM9>$y>ZxeOz!?8$_jaW@(Y_0SW}NmMMSvN1?)*EnUe#T~@1S;y zhzlHcXIw}kqY;^kLnAlSR0tv?x>6yx=65FR^Raq}>I{vG#tTDcQRllS3_Xf5EEC3m6xA{gm&fw?y~gN#|PDPvyL>tveJ z1(}G#YcxjOud>BC-u0KmEu0rhFZZ-A3K}b1op)uIK%6d9^7XbG=0z)U8=YB=)96rT zLq1ny$Tq%OO;wYFAG96?8gP8>M2;#(tf^p?kKYrWr18+snotHbWW1*6K#gagj?!X) zd%36Wd!^Urw_dkpInWxxZ#eAJuwYaGL2+)lVcaNki#JA`OWC^dFz=cp_beQ+nB7px zeMD+T1RY`_pgT^WJ5Hc;o(6dN-5QJ&KcSl#t#a=7+WfX39=W)J3s%DvT!TyWr}Ocy zu;O*`)`x|7sRs_mtqPTyw-jIA>lQ+m6>&tn_##xSOAnQMC(hYmrlEDyGSm3FVC_}q zNa2<7h69!Hh5IVwi@L3u3sYDiu>`@+J4Nz5mn8GU_k5akmDh) z39j8iSii!Y$kZZ@`!SB;;H9CdIo{Aa_#uy;;W!#O#szeyQ_t%MJ(>HDbOSwUS6O6g zPV-T^{b<#8`sL1Z-c8L@3t8PffJA6!MemO~mv?3ug6a!8<&8A1kJhy54&COdW98lG ztaG}fUkoh&G&4HcE>e=Gdxv<=9Ls=D240$+#eh-nyxlt{aL%5nsC)dY26gRT7lzVH$9dNm zNcX3ON1>UWi#0nl0kcZc1l%Zl^(KjpOLXjbxq-(0M$ImURmGWOkz-Jf0G#cY$nz5G z#Cq#Lz#O1{J5>5L=<<*enW~v!mW=gIT+$8qqS}dpc7DPe&C=}oV!JfU`W-Lfc%v_v zs4bd+Sb4zZS8a_tGZ!lJh#r4RwN7%SdK62)-%QB8C$Cj;UTH$U9?E- zbSm}lLDE^EGn(8xJI3Z(PzG5|eY#~#thKBtJvxey4;CNG?{h7|(gkHj=9+^~TV_c7 z*^~UsI}&`p#Ioc`Ru5H+UxP@8wRx6RHk33C1r*gyY!# zHVES?2xHx65yo(5d`6;m?kQRhCM+?;w%1D=WIe;Mep>Om_G6qCx6)}N6*r0ZbnuF0 z8o$ha!uWooKyh<6aC^YuI1PGOD0b)q{z zW4@EhpxaEhr3>@D>vTj;$N3LXy!+)jsh}@aC6h1R-5B@2p=^JmhwGkuMe7Z(~0c z=Q%q}!l`|WmEQjz1Lo`y8lcl`-?+WzGpF;K>D`8EYu=3{))noev5~~eq7I%xX~#Ja z|AtHweD|9$UTh*&(Fw8Fpw_7lon6Imz+;3=@U$LQ*knuKGdNmrv>4sJ?A}~^_7No38imDS|U92-j^+WURr2$&T z^*o00L(zt~tjrW?C_0YF1;-WB%xj)B_mgvIJ@=3RejNNKk6&Pgg4W1b4EJi!AppJg zx*Q@G92f2#OIWQkP=%kEPN@m=LdQXbi*3b-H=$|Lwd9MdP4k1X&@{4Fho<>hE_!R$ z{6`JTfn)^^al;L{I2|9UVo?!@jl-m^LqZ(V*0ty$GZBJ}^sBk1Uczv-Bq2GNDduvP z)U}3IALEX2`8-kp5;ecedUwykj&p^$xN%VATrqBN%IvH4h}aV^gmNCUDv zd1}KL_g}36L0OtIDfwytL$8dgYotCTjz2UGZ5R12#_^SL zIcS|=#5VJ9xGZcrXuR*3tjaj^fxFYf%6%boXvAAAy; zghRDU-!CsqmV4(V%gg$B^p&rAzuX&o?^b+0ooPrbzD6aN0=jia(M}^C8-2n&gT|x( z4gHvlJB~K=vu7mz9Bt_5=>J4NM~|SNqleMY(S!8E+y5o~9Cgh9SNefonvDFjH<`cN zoH-uv+#)bJ+a_@yIT;c>o%iI;>z0RL6pn$REE;H0j2dMN&wvKsosH<{Vs zs7sOIAPu69dte@-CT{7fbuADoBE!-<^_7wSNezsLvyaE7+;c8o&apOsg6n8o5Q-nxPyV|@APS3QbdPk@7TlXqE zKcEDqGNqQ8T5kM8BEKYVTx-W3k#Ekl=v2oM#1Mu~&vc}#iJR}<K^N;{1(@b=%WNo*FJ^S?e=(RjWy~D_GW;vn(*O8q;Cw`W4eDb*VL!|0_4I zTchct?O?Cpt;~K8JpVw71E4-O%<#UWrrCG5(ltGGlRh#X5oygMuSnuFe0*oMTYJ}8C6D} zMfigLI*=EnE~Q6*OaqqCmoE35NzZG?oPDY#Z+1e5QJ>Tf!5%+^pTw@ zzPp8+?DF`p*~|0jULS9atGYERmJl`(xF}A&YBa=ehQZJXaM^_652RWlT@_T@p}ry0 zX}R10H>XF%wDBXgU3+N4`}7XNSz5cBy+r>_d!4x&vULY(+P3S)(3lzF(=yX~R*Ma= zc)0BI>KhAE)(XalI^O4NcO};?#)yz*{05g>bg8?hAmr#g<#Y!7`#D0um9?3p0sxnn z(_1kt1YRL=JTI+RH?GyPby+iGD}dyqx-V6YRUumzH>|iklmzO!pROA)vFYkpFIoSk zc8^_t+9V*=3rOx(FZyc%NH@H&cR7*ifnSJ7fm-YMpA&<7inpl+F9QhgO)D)}#{6C= zhx2Sr-qd0^&kV&Yb=GZaxR@C0jvbaeoqUryXq5ykS)&UTU31362C!y5!J48@ZP-V6 z!CaHQ<{7=;sWL$h5p~?}TK6n4I<7||ys2q|l2S`no60hL@b@cd4Xr3BQ&v`I-#^7X z&*-(^GoH84@w?5lCTki`s)mkh#4(I#Cal4IV}4>1)O8antBF@hkhR)oI=#g_YkLTX zh-*)`;o5Gl8FP_M^A_*3&gGpnths6rs(q{%Yd=vz<87ibr<-TB*foi&mGF>#ugNMk zEw4VnH#AqHy`CDj-K$v#)to*~8Qp*<^g_|qkWuv>8w$|S-c@U0jVU$|&pTRlQZG6I z`%EaJ7K3qCP@)ztRv0OtpdNyMi0Pv>uDQ*4^EDgNcsc1n<6j?XsNFXijrBeR`PO}b zX)>9t&|!yZ6^Xe%M$MP|TF%p>zon8#UJG|=PW^ID%UPJ5eo}#}#MoAupL26*N9+Dd z?3$0gYL0hm{??Y!9F7>+N=WOQsHzLhJk?te+nU+i7u%ZA+dHte_tjw8)6t9pY~0nx zhFyu-_&eGs)xRI?W0%Q6^x-US6;A(puPqRcofEsJRQq)0$A?noL5f z*D@}B<70#vEh1`1LIdro{f%!F3yh)Dsu(C%jF8@gF3oy?9s-4aqkrg6O+*xCrVNcM z0O6bN7qT%)@r&s!*p}@1&frxSHM;yFNuo7^Fi>OUPJO&(v<phCF_sCxdw_PK_ zK&3L+>K@@gJW;9te>$65Slj2VGjvNRQ!%;LgL)?{X%b(OSVW9vMrJyHAoiHZv|At2}61_NgbACK>Kn&hO=&q|2X!`T2xL5*?gtY^mx4Zg4Vm3}Td zMBjBVGQ*T^3)5%bfk{o)V<(sa+jZR;d==aVaS?;mQ#0dA-pQ=lsz#6&o34IaKRbKB z45ZAN2H)HgoxW-!ljg78$@5r=lE$bgMIVs6KHnw*L#`&vt5R)&DwIr;EhRa{Qf%># z<6%3%IRMxYj+9+CUqFBwB!2BNQk0Mhhl!cx0_e;@%SrgHU-V> zhlabXR{5i3(?3;LpBx#7GZ%$pZJtb-6PUhQAk>eZgC%FhADRV#>cE z({WZ4pyt`+AB8us?+!PW&vLFI|KD;12YFq}td@6)UvHT6<<%9^7m+MzloZGXQiiNN z{d~MDy!OcChk~>21U$5klX`01g_2$u6a_@bJ7E<5XFzjpx9IH|{aiw;7L3WD3qZ3I zXu|BEAK#e06hkFDlzeCM!G-wlX)^+AA2qi4qgSe~FOtY@7-?ykq*0iQ+E01=FcKBU ziGwB7%=jtEdwv8&2sPZua3O8W_qj<(OWt>TZ={&%{k<(ThrN^hC}s$z`?i)EqAsyL z(r{3Rl3rSvN@N%zYYJQF5aTn|c}G;IYsvjEC5oh+Iy3Bm3qqhB6;+gJ#tR%@bKg5e z4h;u0TI#{i^!}cQQFKAMN*vyt5^k)~@MjTR&ksmHBwOmuC>g|`0`3s8F4HwoqUK& z8A}}!J0K#(^iRb=7)Ug-C5sCUd$Ww~KUvsbk zn~6Aa^*Pe;)P)JpUm&A2EZ0$rsm+xQJ0s4)3mT^1j2AMwi&kqQX+#@dNSAXz1kWDtsvj7JVadq3O+pjZ z;&%rCcX|5NX}4PdQEWLSq*f!?TgqHv#jomIMrvMeA4%-o?DG)7x{#ujk|77%osI0V z%e(qfQ*PYkls1U6sy(plJP!u)FkYds1nT3I2j^#xgA6L1n3PWyjw78Enw!nMx-*Le zfLaeLMx+4JSw+Hr9{D%Xk1v<3J`Y2- zHkSz2DTKdsWFrUXdt|Y}^Agf0S2kcZy+U}xRPBO>$s1e*RWxvXVdiq7j59pOp|`XD zUy<|<#uXsRo#4z^A3{()f3{fdC9`5-bq1;ihl%4+y=O&Ann_av-SmE3}0xxJ%z>9#0*Or?s za=z;}$D`)x2ig+UNpZ794kJ31#j=rFLr$L8lz|^#F6H_>?C;i!@GM@iwKc>uc%;Qp zP>SoB@nf|7bl;3@XTSVCH+194RUOYiKm#qV#;u(Tdid;vRM?5$02ZF4*Mw+{R5;&N zAK_F`uJoMVTDUd(M=eTFW|?&!X-(4wQk85wMnWwK6<~p2DAZ;@01Wc!cV2#fxIM+w zF@V7*^-Tir+=ko@ybft$y|r0Cn$YA8JS}#GfyOS?{O$y4I=98-><%*pVr(vH`2E3`6y9vJYxY4sn<41JO zUZZD`y#tGhx?5DI+OxH#NGoJ9{=eFTsX zb|N1b&(6TyvQ`UZ3aWbnX`$0f2P}Dz!N&PXC6tgI0MQyFb`WY|>n;LQvcm}Zs!*O4 zz~$l68uoa!ai&>Dou6!zjW|TwHOWW7<=xLlM_JpPt4IABCEl9Y-vcvklXp zs%+S1&P>cR(I*ilEdP#ppivGrE_vx83i%r z4Li4Mx`{ZqOA8aRb>V%+6HbJ4B9k;}a`Q_E`q>=NP#YS}GI%Se*z$t?;fC2C6IPAo zuEayO^ylQX?WHbppv!vp!Jx<;Kco@E+D+R+>vG&xS1~cCuQy+p%2at*%cyqN!D*aFYr-F6+y-sBMcgoUQMsRMvy@D@MJ8=N%nXKmK=;fq$sC z^TQVU*}+&V!f|vo6=r2YD!o|cStCveh-t$Wn0;dz#xdK6seLV}JKV%8q%Ftki2(3o#h6PhsP`OS?IZ0Iwh4UiUp#84Kf?yt{}1qefVKkL#e?vD zL-6JZIQp_i^HJ= zL}7A%)QZ)pO?-%)25N$93d)BBSB)K^kl2^66HIs8Quu!9Ghk}u8&_yx>A(V75<}2A zY_5>mZM+EVue7$Tk<1F6EBzrVEpw-nOX`SP;|_3!+}S;;d)3ZmCpvre^saxImO!TC z@AhP30OY*r^hX-BE?iQXIXfVD2Xe%L=G zhV|u2hu>{MQJdd+-IQQ#NmE*MLNInc2bD(!OKXaHeGdx^5;ebt9gZx2b7psWeyADI zl+C%zo7{@3P3aWrVSz%0Dlb(~Aq8nnsi4zLL77o6Sp_1>!^B$*#<*m_T4T5vHb}97 z`PLpWV8q9A?x%Dm$SQY6uGeI2HfW(1-;5B)euR$3#I>0^)V2f-a}{=n%=v~_RX9&b zd>waam?Q}l|0W1ZT@Y~|QtO;AbL(NSF!oyJ9B2B^BMo0JYL@4sRlhSy>={1}+{sRv z^Pw2}8!bbpem(o~+6~>*rqdw#?Oc{cmRNwM7_5ULOi%bx6;+~(= z7X!kw>Gw9DW{u}FqWNF)ZpyuvGj2QVk%Z)z&)_m!V{0d=_i;(R-t}*wJs0aWN7t6P zcJY8qxT_Cx3l!QT%oPXq;@S`4yv~Z(C5r<4X*;b|eB64e;pQ`>qun5xeXV3T-gF4l z_yZiL+!u*Ab#tUryBZsXn5WaVf3;)-@3Vfyd*XUe;_95BITech8ZZYsI(UGI|#l`P12GRzfTE5lFPToK!>&+vCMer5uHHE$h`BSZ?Butm zBEDdlM(=6=E}oOLrd3X^_G^T>c&=vC8H~4iZb)oqc4q5rKD5TAAS5#O4?0?=(u%)X zgfe8GPDad$McZ*sON4Nckm~ZTP<)&%c9cCvH=;Cqtg?kLGjQpO`Wp9_Lm@Os@aBEHj}I@u}=T?Z>O%W=ap4~jrC1fMryW|x;33|@W=31r{QMYn0G)|{92Vv)5VQ)i}Fv>oW zhnx10NOvM#oAp8=zid>P?F${o~KJy<(9 z4pIzhIIDl#sTgYoM9xCA>fi#$JyGwoK|g38A8E+JOJ4Zu0o78G`C-|mh0Q0IU0T$9 zf{_tBXme-Vb2q0Yb%5R%9aUcTjCa*ugNFNrhDzrJ&fLOw7yKHz^m$=8l6e^- zDOXHVU~bU6WoudJ_`-5;`3`9&PISkJDKp8e6FPn@N(~x7bY?5MXgm57me^Tb7+iwGdmyc?*$;HW%bk&^;W(pfJ8( zbv$tFe6Y+saj${TL8l_8(%C=IS?QoleL2#wlZy<;=>iT8KiNHNIq>MrsfaJ&aP!e^ zuNlg~TYz^R7mk2pDbVCoATJ)%y_PI=f)E#& z(zR*ku^QAGPYE(;A4`&l?uAIA=AiTLitqQ})q%*Ler{*WJYB&R$MC zvBDCaxNO&x4e9ksiQ`v^9}JJ77UYaPk0uo**A{<%HqG;7+a1piWVPx{&1l-P%FCn> zZPit0=qp3>3noA<1^VJ8h_qA~>e*$Y~>yiFMPO#t-rwoj*Ut_oQjV8;Fp2zTQc&Wv4 z#O2Yl><|rzcUx)1(unxGH3NWc-%A3>bC7RKe$kN@!++|H5LxNqL$lACjF(=IX^uVG z(qznX5LddH5%B}DM0Os5jfO@>9fnw-u48y67Gt0BjcW(*=fUlQ6fvGEGfojBe@7Fv z4_~OWM{2M&3;)Sq1l2hRUf*|T;B_Wexjn{wG2|%*eAZf&?N@@4AnPO#d21Ze63{kV z8L4E@#`IAwIuhYwHFIf~E}`^!Mp0t*D52fxfkuIL=^LucCA;U9v!<9@>1**qI+eco zjpMq?3x)83F03q?(2nMmEyc>Bh>&5^rKGL>Wc;va(5U_yk{dD{@F+ zOlmHsI57$hDV>%R%#A?+FwyZ$wz2*IflCSVR) zHGuGLz70Xtr-UOgKMe6M0T_Lfge0r+9RJGLaF<*(x5`~ zIvQj7$Y^oteC(Hv_7^zk?*avAuYfcos1_-A0cW$Pey#<;=6x<+H&*B7JMsBpZsV?y z^P0`)Pt`$idr$3w(Y)HL2*dF@-!T(>%o&EUVg2fzdNVHYD z(amC_gHq1N?`IfV^+BPYB17db5k&K6?dMsZ2xbeUf$~HREGJ;-X&fz>+PmnRVduXM zInlFRm^&U&GV#{O%ib1b39~>CJ97BN^k*Eu_SYeEfWo zYkgafm&1fa!7N}ksAZW~(tA9oTw1>vVR@b?cnRXdpF&e4b6)XP6<+RiOxz;5H+jW& z$-sA68F+7U#dt2*`ZT?@RO1{kzhu3NtZwRIrJF*M|1~oA9CDlPOD6tTKNu8vY-T2|?j_On?NS(GLCWbHzLks&fE1 zDr1#rBxP}4shY)7Oh*Dan$K^%5;vZ0S()9uxT1JG%AvkC?grfBU3Z-XFS7M>VSt`Z zNe(jM@+sj+51&j&{}V5-qJ&eK-u(n&IPB!#rlkL13j+asC2n8RdOm{Kk!eDui*i~6 zEH;A1tDm)3g{PU#TB`$L4TNc627yx8S4fHOU=9%X92LpjYqjH%L}fiL;M>EAi%oCa z)#ZBAZz>MOqldc6x#?zLAo(3OHHN2FyFOtr<;buad|E+g-=-wr#r06}eSTomf{MP5 zv+?ECl<{&4r37TY_J+_;NC zjU+8)!|VkwC#jgayZ*&%T5cgX6|7yEJC!WBCwhY_?|fT)YF$w=LCNcPs!nDne@#Z3@!L2kvb4vh}+X-GoD*U04v$1ZqkcYe`EDv zj=vg&>`5N}z4~u~EC=NVQPZAC{uo^-vWqau3c)=I8-N#w6Ziwr4*ZJO17i%DFS*}E z^Qz@XD*#F2AT4@`rJ{TvKlG?-=%aS-8ArpywKt~-TaOkskzXQciFw{%RBWEVFY=q` zqeX>0DQNwxn)QEQ^p6Y18Lu{-31I z^vb`H_5NJpd~CfxvnO*b<=^xcQ=XRWdy-{jL-MPt7Eumhm)c;OHI3F&( ze27*hmTkN>;w%hE%O0AXgG@eUyZ7cF2o$TdXLLcsO#CzYOq(e6Ad5AT4A-#^G=(#l zvht$cHJ2M9;9&A9kT|cQc5*eBdq4 z7WG-Y-%+$rc)!8O83oh+VQX5*XKbk_9XNT{-45-Uwah2Ic2QF>{k076_yqyb&_~2+ z2uSn|O%S}MZuhPZD-Sbs{e2$*U#b-shDHAzH(vtZAz$V zp5WJO@|z4Jm3YMj`C{-bm>^lK3s{`c@4{QbkqL$HS#+9|T6?I{!SJHyRYLG@ppbp~ z>89z%=p2J!*^21CGPBU)m0eInR=mO?lbcyGUf57Op;pNHJTzI)%?-~}>B`r|Bv8Lt zyd-ZWVeiS@TR)*Gt$B0`YrVPcg#t-@)o0-F$6AGg!@OsU9U2pWlAP*70jTV@q?v-dn=k8BZo*1nVxcD4Eg4 zSMbrbw6q+Z=LYMKcTNc!C{JU0MPjDMd&?M-#vbWrwo2C+1SP&pOXNAK=5`^JC+?Fj zU^D;xqDaHMLeR;+MveZz-$#5Hvr@^z;mpoRrUd872+ky89a=LlU`C4_C0dxqlD0(L zU_cre^ni+h!3~pf9xEe$wHh{NzsIAuM|qrvbrY}?u_h8tXp57dqAu<|Ew=1i87Att zMx?e;uPDk4Eu~~=*@qokHz*-!xuH`-Yt3??l0v~NZq(&O;jpp79^tVb8g~!J!l!P+ zvq(s@UVOhU3UY5D}(Qzq7KHK!pENqj}E5Xrwz`(@Sm{D5<6Md z%xfr`QhD{?g|bLyLkT>W)n`!=ibAF>;A~;t9m(tt#}y=Ylzjb<>1lIfty56-eICfN z;}7HuzD{v2725^I<0R{yd_eMB&7NF2A?+&(Mi2sc&*ez7$i$0Gi&vr*= zU#2`Gdp*+=3ch%#;N%;dMznN9fk&2?;9$W#6&DxdgD z;(P8OOdL)JFU?#rB}b3uDTTD_(szYj>%*7Tt2yt`@y_|)n#dF%F&K`KG%}?)`SLmD zL@YF4oNC48lI)y4Bop0}uqHHx5s0!E9{P?7Sun-2J!6dbw3yj*c6R(df*>BtD)5qr z$1)uKJY;vNEWy!(`ECy!NsNhtq8Dw4T9q#~FRSHazW#R{!+QO8c3^_Un({9358|@U zB`)|Ugg{7R*5^4Xh5lqtRYe1nwz~zzJSa(ev3}-hk8#S|H)KbRpP+w+8|F1?BVt_a za8?_(l%t}@!WJG97<+T{c7Qh#zc>p=;o%$jgrCQmdd;ioRcajZ7|}dY{SZAt%K{n) zy!3}NyDOZP&lW#`g?*ynU8Fm)l~2Sz#7QFJB!gq58zByMk`s;4(DOx5cm&TT!*IW3 z9Z>G%@CGV-krHo{eCZAl1N7m;V+rN;p01SqKO=aX)Mhd_i4CPDzf7_trub8p5Yl=F zIp7FBbeWNW_avVs%8EGJf@GI{^>8M1y_@PmQc>}#FWB;a!e?x0jwW)t_)s^H1Fb2k z&u_&5If0Ud;9d7ukZL8e^2Ch~4DutPqXLg6C6x)hwS@81Y%Wh5jHkDMqtZ$QLc@IE zP~hSeOOy={(WQpVxp!kw0vcx$j+B6AlI-6~Kn*T}#_u^56uv1b`EiYCZ`}b4l3Xe?4&=J5 zwE82`wF@RtKp(ONpXqM9UgFcv<*$0zys)*7%>^2$XS?yW-PnHOn$883x4=U zMq1B05*hz1-%}prJ~H{2KasJaTiZa`Hiu)^m!w6nmy7P^MKt(w!%+W5$F4N3q@)lf zG49l?8i_oE!-ONif#|u^m>K03jxpQs)Xs0g=|joCpk`|}K7sHzBtAJ~?j)64+R;Q0 z?X24!^@(7K#18;3RhVR|=X2t7_Vb`-{-s4$B7M-np@d&6e*%r_3!RX^Fhv)Os8NOd zlw1+#g6e4lb4pvs_}jjT9tHdF_WOSIt1o=;mb0}pc}nKKMD9hIJIfA7PpE9zL5)*w zUQJDvnVrdcwS)4B8AHrmC&DpOWY2sA#65OA&vI)qyBj%k%BZRJ9!r5GP+*aF{bjaq ze+EEmR<6oq?R(IEeu9J&Tk5xcyW8|FtiBD7FY2$a1kr>2yB$ef1#KgzBI#Cn=@nU% zD-sK`(%QoERWuiM_3QvQO;OQI3GUbcDD%iJ<7LE_0IRZi=}whv+Y z;PDE1wRe^b4#P8s|26 zCP?C_Ra)R#J7Fy1foplmn#fS&!5dDE7GBtZoKIC(vFb4FWuCKc@2xQSWX^9P%Cevn zU<7DJ>DP?XZ)X%U{>+T>eKSV2e58=PR3XXTze(rVL}Wq{W^ij|nu(^jt%WW0=JS}J zysNemG}~D)L8?jFIwbEzEQXBF`yOQMuFM|lF}=6K=~>7yJqaOhHg~B_$RX{~!_r=B z(^}JUooY4EPbX9FWpf)s6Fh=KXo3%YvQ;EsAc?p(SS|tw+{{zz_!*!VE_Vzz0 zUL!dn)uOkp3}ajLGlU>SSN3E4$gS+W$A(WCUvi14jZ{Ep;2Dd_Yx#^VEldwO1Fa!D zz9J1;dabraV+1`4{4^!MM8c4`gYl)hq}7xXb;s*OA_uz4mKL^&0G}7sq1WSVRny(7 zJgTY;nt8SL0>g8M?{`8H*c4@5-NV zARlPO!B$$RY?62Vx9!Ng(-Kf}5789+qd!}iKE|hAtH0XXWLEw3=jKC4^d~^;L)liH z0W8lkpO_zdvLg+V?0R)5@H-GoC@{NNjy8DOeoi|E zY^#G?q)v9`+GjUp+o9Rjyr9QTtpJDS;*v?5}KvVzPa@vK=R;H6wvf36jY^q9@ zQJi=<{PLO(ad>6h-ZD|y?EYXWnPBT^`!1-43WsO@^Z}cB=E%%nQ0CN9V_14zrfb7- z-ysX84sshF{}yXLId?tJa*IYgdJT19nZRa!xmC#jogT)+Oy53Svi#EJ0^`> zOQ+KO$fgMlrKu!Mq#<^{Ni^$}=RX~|&{^3v*0Rrjcje_L5paLW)ybV;Kez6&Xc%pa zm}!bA_?gY4QmU9$lCLA0P(i@PUPY{;l3LR;iSDtnQqNI=-;EvX#y&u-6N|8+#i$uG z&~0{$UimA#ESkI?<|UGd1-#^?s2GV;?p&pgTuQXU7ZM(_o4S|*E>Tp88&#$9ohEit zxo{AljLm2AUo@~YdMPbluKn6X!QbuTCB+?*4xq!g+v%wBuHrzS&*u z{PWkOQ)P49fL936@Gi7{&9%XH2zMzC6P<^&>LSlxD|s;T{O$zsKW^@@O|af3U}7sc z>1h;_W)fQAra53+GIuD=TQDn|=BsX+DqGGdw<422NF0#TZYOQn?Mn2M2<7vh)Re^R zMgm)!*T&Tor>>dl#!O4M@1qSiO)pXcrD{WzVhY?+|6)V6ElTK%uH^lg*gs|DN0I4yJckO$A0D=>Ps7*r;I$Y zN3;!`9$iG_wr4FJoo3s1hy7Gbe5BDVo07@*B?s=aZ5&GsS;MKc!_z$Prpd8sJT{GO z?_Z5#W5jXnE_ z*m*YgQ5$>sFC+7wX=8tHV;?yp_BdkgW*Wr*56qsq4{mTzO@#kVGN=i!{Ys;(gHq%H z^+x6syuojw_el zO!<7i$Y-V8yzWUZA!MLyNbGF;Rqt3*{FoGmb1ZRlR+*M#umcC(>%sTFjj z4>a=4lK*3SM!Thc_)F8Cc|+|<5@Opkq)V>v&PyA0;isHRI3w`A$4y zHedgAjG54v^NS{;KRuE-zn!$v>X0+(ts-ek;XJOxXJcU#7ao(`IH=wIBTzh+Zh zF2M-%rT-e9=5be?nMImjXl+cxL$2{sYOG%mGA z+dAK3ROeBwy=SebkZPwK)G`E7Z=z(ffL}qKe4c39LXicw9j=W2+l^KV+ul@G*7gUY z>)Zz1Nd%v#xD8mtrx3^Rwp+ukH`=SWO#P_(ibip()~F^npquA&CMs0g=xduhjYT|E z8!Bo-$rpBfVJD2%);I2WemtcVzg9RHsbLsTO(u(xQ@XJ3YV@@}B1N@5=8LX6x6L7M z$rBbfum6IU+GXWSf0J!Z)>#8J14dc!njLZM47Ee9 zUHT@T>{~bqv(wHt{f9rGh85ej6JLh`M#^w%xP77P58^P@=I%h_-98UW!sJ4GvC?aek3OWfPqbA^BdnUS% z@&V?)U^^B7X~|FSFqLZ#rE+H|;_o(MgBqGBxMnC~HxcF2o*%L&3dMi)Ev(acl!#Mx zt&t=`YZMaVwQG$e2)3&fAVDV*|B)sH9-2#dh}rWHKkr(zkKb+*cdaq5;U$5_Z>b`X z+!EkP*k~V3_OXNqNi?r_tvSH2s_I&!sckfGq}L=CZvXg~Z$DM}^}uwTh0kuZQrczm|6rf2r-2UHp>u<9H%pB8B1^gXSfSFKiK*vP^ z0;)|Gn<7mCX(k~2+eiQVoo8?0?p5QLfNnJj`tiFoXY*wQANr%YF@B3#%EoWes+FE- zQDB>v)h*)*1B9dpsUfASa8mL-G4WZlTiqLm7NoGB8a{ zFUAN{vp(LLk=7!WY1S7hLbviquRS)_vFpd5oCmnOX;Aa%l;1q@j95R6DCoRy&#lgf6y-rsiXd5U$(BzC2T-lJ z2L}otQ=Hj%J(l)b(_E=&Qu+uTObwM@adxBkmZy~xO^vy^22|il1KUKyV&VjvD6>n| z;k{V~pWanJwmD+rGH7$U?3G3_aU!(DXIJ$sw+Wihmc{o6@_Eb6Gk)Ipwlui?lRpNl zvOc>iRQgkOIXZ=1KeX6&oyiv_$RFR-egcyAP!Jc-_)LYw%Nq*SSbGx8GeFBjY74>5 zXIJ%RaUk#PDwNbKx&#Gt0cI`}2x1BQwB}f)Yg=hSH~cWATF%~9>3mP?+3xMB3PJ>! zW9^aB0~XCgP?{SLr3bi$Jl45H*P{Lc@Ma3qhhYcQ#JkFfEF23Il5~ zjZgmWPP9Sn`HB%-iB;R@#HBItL;^EJh_=Pp1lIGE^|y?}s(3dhVF6x1+^hl!-tdLU zcC-bsLiToe{=R65c_L2nOe|h93?5$%i1JR(fxvd?lzYS$wczAJQPas|r^%3i|6;cK zN#*0cbMYvCx3*;2ec6W4$+g-I+G4OL(`#St$v!q(JGdYD%@S@!esgjnDC^`5vTgIO z(KcD6pOPJr(CCqLm z$p=h4F(uqWsF=u`CDH|2cUAKFR-48@K8eLsj9;O;j^x9@-ISNZZo!3Id3dt9&tvmT zw2RxBF@^eSaWdKo`IyU8iM_Ifz;P-rM= z2TFI4x<0`!4kU_oFi_U!y)dX%gs>`cSoo1RZ19CREc|KQJYb%d8nkh<&e9X|@N3M_ z$ivG?z!mjJ3dCXjO^Y09Qf#wWc)Bh&mMdX75QcUFvLy{;K0hn(dT5oa&J(xErr7Yb zO`WnO!J9EZ)f>VMD>PAro!l<(swnlbp73r;4>KmQ7@9qR!BAiOx2fr>_-a2z@HoID zwnfuLM)WAYiy1k+qr1#=Vb#}^T~!AH>^(8 zZ8YF1{(5BnYWDaK(3nDRGhXG{wK_@mZ%WJH9%A$u1Rc<%60+`r4GWiLV{2 z`!VjK!Y|nr8*GZIF($=2zSge3h!4j!MZ1-n-ez1)M65sCek?E_Irif`^Kq2@_<}wx zD9APII6l?b)snTN$LY1;F~H4BO;^uVKv!>Bf8T4975tRAo_PZL5fG;Eocs+PD{SBYHf?pm{v<&o!Jcm6 z`70uf=MmxHd*&n4#w<4<9{aJ74>iKTS!Ex_au_!+0`B?5aqN99ecXZ4X0;eR2ZN$t zSB5bMw?O=f0PNt-2Z#_amH?0}U86PJ7Fl1XqBz51*LUL;$LU=qwAOa-{Km_-j&{X-J-PKQ`rKKj(4&aC|Nq#n#apk@t}tcUs8r3?(XcFR_1AJ zsq!{;O9XINLw)BFvZce$%Uh%ur1^QPrKS^?1G>em7xii;N4fOPTYtz+o^+G{u#Xqw zYjv75Z&SY;on~_8ZOP#|bdJ`P;8T=}^1Cm0mheImgU56!XtnNATd_srY7WbS8;ip2 zdFJmngwNFhBD+>^WJrDc>T3)W18jBM!tF0U`rk_~nf}F*X#^`VI+G@~?1#VMHNVhY z8C-AJ8IDGB>^!QYqq>O`IYSJO#erM}Tw9vgdako~*naf@ZXUT9U3NkdbIWDS1*QqB zb6i*v7tY*Uc3c}?dk|c5TF){Yd~=F1EJ-u+#7S4(N*Ng5*2RP%`j4M7D^R>Tur-p| zRW?7T4Lez%qtz@=bIj97l*(fsLL z9PRsGI$}Q@J8gP5m5oO{U9&yuv$jsBk)O;mZR)0>k*QVY=!|@*x9uX;jMpCFc%kzI zg(8eh6F*`kzega?)BnLU*uDf*7;ZdV-kl!^>gayQ5-eSPYt7!IZ=)U&-v&Jv_}bN3 zfmoJ*m^0D9>Yywp@kj9^mzMH=4HTxU?_i>#K-|eETSRt5VS&{EUSa zcEA?e$4Pgl`gfS>0adJ6sD__p?PR6I(n8I5hnI~bO^G1~_nHh=JNBCulc6G?qxGBe zxs>RJrzn&BCY=%U-LyU@V8cK#<(c<96K0n-pIU^@`WB61*dVW~jbpCl({)$466As+ z^ubPK6b>t%@ZNF@0jV{_c>3mIh|Omi?F-~)v8GReJj%~+XcXA3Gj^Y%GKJNp?8Zr- zXW~f}5P!1yRR+1M_)_Cd94W$l%k;*?5E|||l|Eqf<6ZR-?b5xqyOY1ZlO{LxhdW=z zPHrhzGI=QZ0}WMNdYOK#A3k~3>Hu+fVu!N zW>wu31VqpwPmn3@se`7t)L^TVnb9Ech>R-H`fSHqdT7>XldS;yFYB}AB#{1Qi8MJ) z&v5rOuGImoH@VP zxPQ=E)Qo)7NSEPN&j#9gq&9iR+GSrx^Q53t)foFwef&_yVIPi)s*eV~!?TlftdX%h zu#}?N>uaRLWDZuJ&5T#fTCF}alBD;zW^x`!R0Zu#Z~`hkbngYr{SYiiUk0m@w?)vWde!)=wVx z@#QJzBY8baOf4W68NBUI9yK#Pt-TxM9nr40&m5Nd@6(2T{9^jBkLNBM_VLNN!#>i^ z9`>5Ugo2H=U_8g3oV_Kp7t95AGrUXPqeIzlZ-{^8YgVHu2oX|33a-;QuxLKj7a3RpjxnG^u|PmA$Wx zIsYl6d*WipaOW%dyg^B&lkb@|7$^C;Z`J=Y{~z+d%b6pdcy+kpXtcy2R6Ci$64%|G zhG2SNP_lfCn+=Q2mlXK3`NC`99N%C(l4niUk5Nby3fsw>8@Lp*BU;e@GIbuAD&kbsV=UOA;lM$?1)Y=U#3P;lvi;F7#xL-&p6}G0qJ@2D zfL?GKtY%EpAB-?k$oD__p5db*JsZgn*NB>=%7c_MW$O(SqZ3Rykxujiwy-maTtcgT zU(-)m?B~nA-i2LrJkn@}%XZy(hN&)$SA#))35h6hYM|d6%T=ESa8%HdL*mwdq{lY||?sv6#de-*esjYc)a%_UXLQk0Ih$bVUacI4vG3DpBBaMd}2E z+>A8o%}+6~Z&E#xoN_5zW{&Z$AQdeev)KpUN2i54hbtZN4?QCPQx(F^z@BS6hLnv*3MXfg27r#Xa=RQ_B_$mxH zyjJ1ttKjsp^LFxq^=f@{LHn~x4#zCf z|99=BcVFUvSbMG4Hw?wHlYd9yLz9VLzg*C;t={v^|5K~Yd^T*q$O8H5BI8r#;Ho#; z&Z0&gP+mAt63)E7Iy~t^?1Nt>Z_AfSDnvwYB zg`xQ6ex3%&wL;BEr*Re^!}r77{`m*{cb<&sQK`Pc7@Enfy7k}mFq%EBqXz^6Wn=U_ z-*)u1|Jc#5nNDJ}m%o!P*M~b_&P=XfDNOC7zxC>GR$}&*y`=+l{IEB_+glwnO3d74 zYC=AsyVE+l&iCuwRXBcrA^(&4FX2C61%-d<_8?6LaGQp6D!T#bq(_{d@@WHHvYfco z6K*&lk@uTu;y5G3d2<7KybOfAA>F6#UG)wX!c>32BTXJZ@GXF^wqzJxVY&0w++ggZ z^wvogP9-kso@O)gezmV5_%W|y4+EanX#AEiE9-4wSM(K5_99o5ejA51H}hsLc8?^k z@@Sk^!y-e(#%30!Mb8g6yik!aTG7ot%7cedRH+qGr9ON+wIm7_{V5}@f)kwx;StBE zQr|-^aWhr0^LXq5l{PT?#$01h?Fp8BJE!elql-6w=ZuI@z6y2fygpfyY`RH!p?^WF zVg~mMhdg~*kS;%m>afQ_Pla#3l^xB;&Mb@`h_gMTQ5xH=UjDb zkOPdzlI*;hUu(^sdBd_C@0RY^OE30j^7L-XAoLhQM~A#yI)br7FZO!OTUj@bF9xhXl<&xlC>_tAlHG87?go#Myw|Y1rqdVdsTG zj?i$JJ(MfMv5)*WewCWe{4H_-HJw3CI;&K+w|Rb;3wy$oI>VX$+EvL45A5hYWBIwK za?%%V1AYilBPh#qHchqLOJH%vzZx>E0i@;;x$^m40g^5!bFY+V2j{ z>*$Ki(nszb!mODXY4Ok{aKXpXCdQm zUd;xB8qWqp{0364*sk8Wm&6abb7SLQ`Zs3yMkK?g!XdXsD_)mjh&;Cqy2?Y(5Z=H~ z6{m|QZV+SPd2geAZmhP?2f{po;=7H5P^_oXu13%436*{=-@EP>$~Fp%dwz+kRM%Fa zy(l<-Ga8meZP7CMf!2PMkyG&f!O|Cj$~bp6>5UiLVlGRe{Ba#eL1`=DioIF%VGMKe0fim~D-12WBJ zcn@qX%aNKym&%07{5>3`L)(mSj0HLaCRCtP%L$c99^MrQOCFAtjg7U^DDSF!RSWWNSlv26Z%|?zc{qf0$eR&{tMrC2 zJ17i)K4OJo9SEaUcnKi8k%B{Ig#_T7KmpP^MasxXiZK0EBTQ4!Lb#c9c`_dN!u(RB zDJA*t$GSozueD6#FMTm8hh7Z#uf%Zw84hbpx?E@W@ib@_FzH7U_Y`RmR5+KFRN$AS z!dVoiLyP+OS$c?Fh&lWCxuAoe`48}O*}eQU+{(|w<@`L<#7L-cUKuic*&?~RH*3qw zf)8$#DjS{<7pTW?YPPe7>%!8**3B$?mLysI;Nr!MT-%-w9k+T*0JF1<@^5 zrGkcqmTcp|=!@7LZ5!C8W~{p2a18DcHnGe&!z_f<*|AKyOt|%Sh3sT)xWZ*ELazL% z;eRku@D)~*)7}8N&4#L)VXiNjuae~X%h?_Jgelj%@jOlFgx`3xZlj?szKmanj zj3<34yh9=jqD)8GKJG;t=$u_LIXx=%s~K5!S?B%_E9x)M7~2vq^w<$tK41i@I zeaMOmWn5e+q(7xeIZ<$j8(d_9b+FrJuF1NNn4W9M+@`S(I!zSpr*6h6l*=>g@}KEh zZ4h4F*E`Cj^W#!{RQXD9EmffN7YLM*4fL1unf9;nPmJ-X4W{of?PAhnRrDg!WyBEmUnE%y37~2BJWP?8k%4 z`wOF9njA3rc$|hud%?%I&;%eUjl{=gLrog2d_}kKuv?+l3oN(?uDq+2WPkdrh%*t&S_`3XOXa_-#7 z^{)9Y@8J#3y4c5Gq3X=t11|*!Ru&0Fy*KF1r?)1(30}Qd=}jQ(t<~FDy3!GIEW(%Q8?$neMlH8}qtE?qO?uj9 z_kSDDC;5Mt|Cjjh<$oGbPyK(w_X&IlTw1QrQ8ig-)D6;dfRKmzC;08e+`{DVt|a%s z<|`GlsssOJY=~FWFIMj_m9P4{ch!#|-S`%%@|`ag#W8VgW1-!a%YQ!q<08&#F(?tY z+y%<+^;Vvu?+rZTs|6(IOQ=_VUsSD##3nfr9KuKhi$m1m| zKz#LN-WW&z*eAJMVDQNp?<%jU;7;YWwsBgvJ^_?^-lLyNmqohhNz|@1#8ymt2KEJ? zS{oWY0ONbdU8b_jU--^%f;&c~g+JII9@rUPaadiy?lO15vsohI|HIpx$46CUedAd= z5FpqcNhB&rt5Jg>M1oFYJ@x0oFHsT3{Mi@gd z7##+pqU-og#*@m;D0+VYf0p3<%1f`Kcar>!n{FYKQlvpkG@%_#5E7L z%_JwFiCscuQ}Qc~ZQyF?f|De(qD-Wvv~3`5B;ZPKz(aUl>vGCcodYABVbVz2%u4ly(+y3aMOXr$pZ^qlmDSEmqNV>2$r{h;ohoXf_9OH!2@o+Fw z{BVGd{tb_VnaxK1{m{ZL&0grS2)*3!6rVSG~reugbMdx1>J7Engq?)T~sZhEhltl zLk0Szo6x34@CR%2QdhM2yff=YQ6+sKfU&6twFk0QEBX=-rJSfnb^Ro&>%F16t^$1_ zZW|uz*8skxbE^z4{O8}{Cf;T60FS}IBd&O*esrK>-sOq?wiTG0g!YwCb z+pSpkRHPcQ{_1L5d=hKbJ!<~m27er%)x!s%+nT_TYeN$;c^ze-!igF_ZcKrRkUA$~ zjyTGoc7moRtu8}a4r6z!t*in{7JB|b zxZKUKKi|RlHWi=8c&&_@d)O|)fjnkHtpcMgf0c$)%N_U(O}meqq-jIHznA+EaTi%8 z_#pBTM?3mq6a3^$35+SLkcyx#v`m~1U^{p*}Ocv%45ine*f z*By4YWXZr>#bNZ_$ zF**2SUwg~#2mq5}OSyyY!W=Gz*LkpnOgPMn>`Y2-_!E*(m1KKMds5OLv2Qgp&7{91 zCQZq&H8#s)VQ;w$3915dhIbn37yL0ZP#>!XbNo>)FE~qEE=(|-JAVaAcwB_Jx(w7U zIx(L1=_5$HL(&2x;?bF`)La#9l9w<@vZTn<_$M=7#;SIn*~wBd>11g2AiK`YiqCeu zQ4klJV;aDj#oo|d9I(#H$87WF*JBpQLI1M+#l#TS`Gv?yoU_d`SOnqR^wZK{JXq5B z3U8>oCNy_8Ohq8TD0sIq7;7Q!N)Z7?1kf#yjEZ|r1DT|5IT678tib#QNB}%VsO#=&~nZZ zR)OYT6>?IsS{7s_3ie8g&rxb1G$a2eC7)T73!`t&(jhWGtXWEd!ENln5zw5_=I8*# zgpMGi%Lp7>v|gsBs#WA2#A5u_9Lp`d6AA%t+mOqcrPxg0=hGu0{EkEQ0hCd$Qf<%M zqBq5pz6>L2jFprT#d*AiyNgMKt)xCt7!+7ZPciAxZs{=F^L?X3<4JcgX_q9~o1>`g z^U$Tn_(`qtIG#R^x0Y;GP2znBDLS>7fusqY(x_uGCeQ+OwQvNS{C|voi{lYyK&e2E zDd<8+d%*Kzx^kQ|u}ZmH!xC1%&f8T$#3HWXMMRS?n9Qo5s@$)7&EV)X04i2QmiVdk zN#NBuqmd>=i}a~kIJ5oKtG^A=xJ+Mz0d^Yi-XOwYr9Ls!Wi%G5OhOYoP!G$xkTQsy zXU_7TM*`is_B3XxJfw{11{LPUw~c-}qpx!U)1XXee#B8IYV>R)Wu|^jWn#Q z;xn1k)SStoNtmgVD)6aKnAL8Xx#MRWH_VAmR()a?+??fU`s9j`?Jn3uz?7gz)lGQ3 zFrZXBc8>EFVaw^HmsKgqpg(f()>KTxIFM`B1JHM(l zY#YHX7xX0*3#zw-CKQOh$3wrd?&XzNe}im=u;KRW`^sIPFPfl*ALdG*WFI?#3W5q_ z?k<^Vp;Ru`!5`*4R&k<6>Wgy#Ia3GL8iAHEyb@8t)DQBmKN<$~mCh zi6mG^pvfA{H+!}5|Gs_SUw72@y>+zq6&q7N{(op+p>f)g;77I(RIZu=MxO9|vr+jQ z)J$4^&#`5!E_^*e+$lu;ih6?S6{?U<8@gPfStKaK;#BR)4ULP_y)PN@W$ zE3f4+a06jU`LfseUm$edjE7Huk3jIp^oBE#(cF0$?;{U1fY455$5$;;Ohs!otc!9@ zXEHeXG+cAqQFk-mO|zceF|bR`_^vgL{tTxIjk!&(i}i<0F5O)`hTM0O!=tXqeF%OI z$r8h zVU?Y41cf)o z;x3t++%D5ztHMaXhB^*T=Ull5-9|zWt&)w}36f)cF?I5fAlj#Yr(ORI#XZqC>2(D) zFwbjNqJ+tKbHB$v+qmijJpVz;<`K~y`1XcxPIVm!T!U(76fEIRJli~xk~dzU=h!J6 zKKG3#WIqYnQ6pzO`awqbm1y;5&>N_mD5~r&1}hZKjWpt*^c#eOhcoRh=vuT^wgKJ( zG6hv!^j_dpOGIwgJ;3?=b|K3W3ab~ydXH6|E_o&O1 z{tuL306H{Y)dIw}j(5~E5Q#anXP%W$Bu-r9hBP{At^JNq zpd+xie1QL`UgUjzQ*^|ku{7>(*;XnQnXv<$lc+fC?e-jJoX650*BLE{SuB2%pZV6z?=2d}0 zbiP-VF*STJG~r!s_;(TYGG=puSAULT4%sG^$74Rj1P0yl3?XM7GZqc8C|JO$6Ed0F;oQGrV#tK$8AOdtOXF3%(h4m^21<|Oxk(Fj z0YHsM%rwsnseBsUO1qe8%_^-APU^pmLYB1>^O^YDSjP0Ii74LzDTd7fquL!hk$ z1Bq2M$qIwx#f4l9QwnxFYeJ>ieeh&`O0iqXk0teBVDP#ot{VJ{6C<`zdK0M~7sVI$2QE^mxv$dX zb$}-TZxXn1-BoP+c62Q=>mjvtOo1GHg(@4AhKeSL8|D^6GO%cLIMmYf zj({_}+(fJdE6_X6yRN}3pI!yVL{X-3mf2#%hbU5W<1}e*$uRpeE*G5HmA>$cRGKH; zU#{NBA@rrcZDb=KZiO}+<9c%uE-r$U-5}#WFysoZt#u7+gt06zL|T#GMBLC=9=^91 zKE0Lm*I&Jnp5e>W-!9iXuuqEJCpzkWX%RLjtsE`?2pE~mhAJ~@gIuo+#Y7FC#;0jJ zS)sed{M|gVL+8e+CPsePFVYkamlb5khzSKQzp$TzoXJaoAyyYs!Na1Y!c{I~{T337 zy;&VVE&H)e063J(x2Y6~iLtb+sJOaEGSTrn`;9$?34!hlI&sOB6efjPT=3l6kmc&1 z%Tjo>EZc%PbxURnl30|k+Kb37T@JJNOJedwfk1Fcz@G(0*{b#9Ud z9yy}CTpll7F`3*7W?BAoS$H?y%p&KmvXrSqQ8gaPT}%xvNYVzJoaKdkFt*N}MOOcN^R(;ymC=B1s$1 zB32mF^(A=ae%a&5AnwHIQo-_Xqg8K8+{!LQ7V@N1z>{D}pv3fiw+{+9x;x4C_SI;{ zh;O=cF#U4P&1!5zg{A?&6m&iU>J{zl@LuAT#n9jgv#Ew}^Yz@Nl&5br+0@bXIg8Fm z7IO5TuA*^ig30kzT3ZQ1@JK8QZ`_5Y-%cFK=q39TM08g8b0jzjSO`f|X zDRCwoCqo+;luWk~m^8}(g5SgjaMI=EzS|)n!+Gg;`<-sUsDbq98?_M}OK3yZ*UPv; zCW(wu6=9DU$H1aX4H~rXYS4a!p_dHWbp5tWSoBsOaJlTuze2BxK2xg}5rAGTj4c3- z4;Ct5P25dKlnX>XYvJ^@9Tj*ExV(5*8INk0SAXbr4YDuS5vA@|nPXL6y}^2EM2(b1 zFGpWba7pf$$Ll2a&(C)Y-}mlW&8pman+%sF;iF#aD4nYgL^(`Uo(DM-XK{S-vE;cz zNIzJ5po=_0@+rg`#7(v?>r=2NZQ(%hVhB>u>8@d-66v{kR~R=>F^^$RROJyYS?og& zyuq^Q*m$~dc0ptU)7jfoqB;i`d514K0xFmXs>R~QF&A@SMW`J`Qct*_46gsTNHOXxtMTa*HSB^(z z%pg=+U7p+i`r9FYS`~p54w7qHjk<)3-WHt+SG#ymscuiwZ)w%CfztE^#eV&2Xjwi8 z9!~!`9hW&1Uxw1bSlcDMe|}Oc@7f@(9I6E8SSyotH@$_(1mL6UxO94%<%lQhzT$jg z7dEm+v8oOC(R1QSAJ0M3P)V{k|A3(j9){x@C&)E{8pdQvTuUCza1mgyTnfI z`gZcdU_)_D8eYc5T2O(^dN)>)eb16dgmdrawpu9Xf7eL|&17O+KDv25W9`lV1fJxM zu(y7SINWW68B};gs_c9f7H@T zrxgnv;R%-9A{)4eP+n$8p5=(H&=l$kq3KR<^!5bAe{Tljch{<#KdEYoqqM|!-7mci z_8Y@5x(FBgI=Pv155pl367)C;p>s)HmMxF?9N z*zl$d?G5DYI7o4$D>ia&7g+UtgL_-Nr*4kNE1y6b|_~c*-5e-7S4V5c7V4j@Jm%)_RmhJ%O6#e)aBXax@-WP zu`pH=Q(2dvE2)|#U6fSPvc!^#5=wd@xuhzVG$>XQQ-7(Xy;PBYwpzNtY||-;C9PLU z(xz9FOWHpRS)Wqr=sl+XQc3A`CcjX&oz-6&H%eZ6GY`vg_4CtqWXGsn#1>qv@Y;(Y z9)(u519#*vkU|r{idgeA6&Nh-2%?IQG*Ogw!O|&#%ZXYNw<=RaXx0z=T>oC=fgfl} zI&pbZzYOHD(a0&M+*>z>7kR0$=~+kjU~gt}bG*)*TFG*Ju0xHRRk4a@BK?8gv~85q zen5PjLmwiCzO7Sn7V_MLrc7r~&Xlw|v&C!JVqDQo1oKc?TCBj(VuF}0=8aH_@kvdl zPCgPq%F&zbW$jdZ$NHtc=cx7;$J?tUVl=tlYVupETwn$9Mh4^CY_gQr7r*08e)G4e z?*o?#?kivKhb+NW)as<#o0kJ00A-^Q&i&i^`P(X%bJ2T+L{yNxFU6xL`CxM$Q@{_Mp=EZ$n7Q zHIVoM)DgE3uv^%xAQVy)j$jS^nO8j4k&#>jgpdP6aJ4uvk^*MOz)WvmdO7(h;JcN*D-WJ_+J zmSKR`#ffSgbYCRuKi?ok-EB;JO-5&6Xw?dE3b2^};gH6*#=obo?3@_PH429Ac;hfP z5hgnZ)2v`{W|II@N|1Qg52006DzAC8h1#jDAm9pZFO{{b>*%eDo%vDu9y0GLif&~heD@v~U13aOU8*@H;~Db>F0 zJ}{bi+iqdwN2;n1StmaHSt~{L$!M*fKaW`szM^Ko%7XF!#ViL%{%e!6#OK!0OWDFK zcPC|uPy3^1xtCe0lCs2S{n4{r!7OJ<7JJL5XhpndTueGP2^)_hf2n6unB|j|i9Lfg z;uo{5{|&PIEh!5Z_+KjJA!b>Sl!ZsRzm#QIJ+e$l$^t?>N|yNCk=)>hmZ03Z2<7z-Yt{_2$ZdML|ztp6q%rZAA z%YUQ7a%ORxbw0KSR*O>7&ytnd)V0u`82!v_kE2@B)X5;NII;Yhs6T(%8hJjDz`tK= zz$|9@M^cvm)_}3hvPiPnn=d}h2C$_6)_|uWyc(J+=?2I~cAnQJRDKuJ3sgF8vGC;| z{zYMxXU+MS2$Erz{QgfYnP99iL>S6uN_K(mD4#Zpj8p}fJ($nj>t0gCvJ1e{g9DQ) z@yJZTJSs4CAOU*O=HD;%;I+(Bo0R3h_24LGIbUS~6J{ywy~t2xjJGz0P=gf|I)qSU zB+-jhn1#dzw-reBD66DvM&L=Up0oxW8mTK^>Y+n3bplgY2{L=jqk=<>9@nxzFesyb zpq5Dqy2{cqu8+n2)J|SeRsQiU^w?rOcL8<|^6nxu9>di1WsBOVE;?eug>}{zlHDlq z5VKm(oXG?Cqty34B&hnP1+KxsnpvY)#j@5hYhoLLc?)PX3Z7vp;p^w3FE_p*GoujW zj?M||eC*037$pE3!-49kV{MYqaH44zG=cZy*!wg3Mv1mJKY%8)gqPzZxtqJia#cF0 z%6gsZs3n=a=m};y!9@8r#)KmZS9nTu?5vm; zBG|x+&?&6G8k5KunA`Cj16iY`lEdEof~t{y*(L>J)_NDQUSqJ$F5?YO5!ZJO*O>Y^bb+alOI0LhS;vSjWns5Q+L47S$}N~~JdIHp3QP>IDh$JtG0cCRIrzR1ax79g zzA`I*hsuG+b8r$4M~8q6@`bd>R0a1B6Ye((?$l(=_SPzp7_rljIIy3ra?Lh#jr^Hh zXPUX_NgTPNWY~Dm{AM)@`=6D5xVCp${{~^Ap20li!guaTGkE6@?o)A4j=O*G3{y$( zRc3m&?oimnz>eE|9oQXhnfIl+$)aQt!5n9~KbYk*I{p^muvP}rpomVs2ixz z{q|rs=UzBB->lKs&qz-sjgE#~k(FFl!nuAEZp~5PDhMZslb~<2Mh_}DDtb{I-q%t! zn5D2iWJ1kTQ0FL`!2f{_NMUQ|9K&CaPnTa^b8V{Evx5Z+Mesn!0Y)QV5+MSeu* zqxQ#|aD9#f$0zq9?q(Uh=Ci8J+oi71yo7UaG(lQ=f$+6J?9`?L#47tY3IqxsN5-#FDrXAZZ^5KHJII&( zqGtm5HBroNGR{%J@+grtshk9|G%qn{vQ%*-FhW`dqlD9zp<>+fSD5d4joyi#{t+L( zi34v7_SSAR62GzCpS~A8@rAwh3&h~p2K?G(Z>0hgp)c*NJffiEH03^pKFcssrmsWd zPJ8QfNYvocgi8cas|MvE{X;bGV-&F3sC*T!#qb>RX0bt){Dv2C%=RQpDWlgi0JI}C zx(lJ~l)04v9-YDdm|xB;T|l+YD1TOEdj#2le-9?dISZ};G2sbR`dcWR>!hl}^o!2D zt8�`%5$${Zs=_mC;@Je5%$B`ZZDqVOqMUSl4QT2UF|tFSD*1uJ;2j4_=E43;~ZA z`VZI_poGd|Z`hN1>!g6st9OL7*|>v;*G%CR2l738+!2N6#|mH0)ALG-gkq!In-G%4Cy}2rl`2O(nZSTEd})u7`z=Ro!2pDD z`NX(yKZQVUzAcR#5^E;u*L(;T?{VK67I1`UB*q326fm^a-G;uqC8JQit z-%**zpyos{_bjNNQ8R#(Xy3QD9*|JM0Wdx=rP1%%TR%q(e$lkIO zt%o)Fbg;G2TkWl+FETi00AE{cC3EkG zG8%8*0cZpNwHv4ZmChU;xic;!&k{EIJyJ&Rn|ldL*(4=_%U%lcWGY;;O@%;`Jsu5H zm!$_jjJx!x+zhM)s1g8aJ2L}rL8o>a8*xSlz}xaf(i`uHW+}%P8FJD=9#bn1DT&29 zMjCtZWYnS!`_qu^IK>kPFrFK*D%PlZjTp$E!C zkT3YpO%EI}Iax?Q<1ffOxu3HYR><4=3(T}uTs-*oZ;i{J=;>L-d8_mq{mJM0 zXyLE@;U{(iHp%`^Zxt*!!3yWVpKn&aaXd0p;Kg0ip0zaoU6YAxqz&)FuQOQBAASTE z$Bx`I(pKkdC*ZfNmYVBhdpLt-aM=vMY!#Pq{(Dh3@VsH_|oeBetOpjyTJ{e77us1&oFb^Dm z6i2T&p*>WLRwYAw6!g;NCbT>1GNIq6vUZF>+nZIH$Iv#T%J}JjrOFFbtytmts&3G* zznK5q^&+JiYdZ}6Jylv~!Ol@8+nI-mHviL4KSX0DcUIh}C>1H@}=00i&B zZ3j$Up{m16%w^UAOUg#$D%3&$IGUYMeyB*wZrP!QhH0UhFkT}{yZ5j<%)lj6Yu)1= zk;{~pL5%(m)}1HiTlz6gAExQ)xW5Y=lQNCHQss?C1mAvrW~M(h%oqGIC9qwU02|4 ziFt4qk5Hc8N*yR^rvg8R=&gJ_om{OFKb^WfMUPOv-pX?TgbMW5zp2njy_KhLh${pZ z6&kCz@`w|0#m1ns;h!E%1slude5Q!?sLADQGhEC zPqro4gX7jZjB$eSF3H*Lyv4@LDyA7`*=W9)!1oDKmLtfX+tj3*3Ae<#))`O5cOk&b5i{2YdxWhSvOnbXQ-Pksj-_!k!ye&rNy>} zF~0CcY;1CSi4TuR+prYC)b}s<-Pi^ zQ1EpEUq>z1oy>NK&#mn_6mPF+2kuhf9@hA-zq)S{=95j#7@Fdh>~*51R{{&4dWJ(# zK6w|r zs#S>^h=GIObp-aCfL))ARRIh@b9KBj7PHH1FWn9HV4OP)&v!tFGz#D3c~x`{3AQKh z%VQ4{llepSJR7QKUhITy>(o=dx(7I)ss#%K*Ydbf;UB#Aa(v;%PO_#jyc<_{8H*eo zUxN!;e-GyCwPIMID^ny5PBPu$sp%knFBTy1C_0FD8?TJy0De;9Y8Z)KBJZvH!sQsO z_DuRuMi0P=r%4a(nIt14=g$zHm~c-tj2fz)#EYi6DqqF z=T&SokQZRvPUOCDnawxiZFt$S;bs9E+-|d9N$PZiI)UViBak!!2{Ev}+fjZwFtFQ> zXm8ItvJWQhgBa*O#4SDguUDPM0G)nm)=JWh=IR95?Be4lJwr$?ZyQs={zzAv_!Ol{ z5ht<`5bgudwB#Gok7-Jg=GQ|c8JNWBAK*P4Z+K!ViJ%a}UTCa_46Mq6k-ok3U=TuG zN+27$8s=Gf0_L0X<*_VNXN2)S_z=mqI6-*fc?pO(@qG*I-YLBv`G7X|>DDvZdd9hZ zpoS|#P7ok^{5h_2<{B?sCM@&tZUpC-GtSvDF)gL!7CdPYLcc&N@8KpoYQ>bacDZ=q$j1a_nz^2?G`@s6Z8zX8c*D_p#r8 zAJS>v8eQy~kH;LIlEVW>Yb~cFB`^|I0V{{BNX;ZzL=ncQvMDT8K++{PQ^7b6UaD) z$jCLrm#33)P8dMOxs!}DD>kLz^N=m8D5w0gR<)F(9Q6lP#y-p+Y|8a-HP>2r_pb0@ zaSHVnuGo-|Wok3BdF-X%8XEwp55kO|o8i&FjTY;hTw5EUU=miVLDeTL!;%j$8`8`t zLV}$(EI;T-ceiT*`A<4fs%l_4nVXFEY(Wbrdct~5wD8gWOZdiTB_ce92rtcwRkTnr zo@p{y6XS}X!8a+Z@pE#tM1)(11K}hf>`*N~*Q>wh+SD)_LMKMroS*x~+eg}*ygx;T z`+66OBRBSh{3+nOmu5A7+#Bt!z0jTsoTr0Jkp+Y0<6h8BeMzkySOC_UJ?QDiRl3H{ z>8$;k!5nIgAYT1R;-Km!EVchMIVYY;lKv)b3+FU`GHG~jrnTz?6&JRF3R6M@NI9{M zrnTS16Hi||dp4BQfAt6U=EH#O*_i0636&6!eBp}N zf)b~Xg4LuCic{^Gm~HNEOl~Dbfl78p=rkpUO#DXacR!1+!KuT|<>3pFt&=O1g%2DG zZUe>_@=0one4UvX2;NYi?o9#hkrx3wmMzaApx+u@Wa4g^XOfy#$r!)=<@!Z`Z6V;Y zsiY0Fm7*U9GycW)VHWsxy&etnp)oQ#MmJ9V^Z}qVi?bw*1JnG7KSXN*q z%*?^ggM50a9J~L}vix?Wq2PVNANt}H3)HEWv|6V>RI}5M^ZE($_$)l{-`)+@;Y;uA z*(rN5NRswte`E%|b&J$VGe^woUujQFd`cWIbSPxVPa-prJ&vpbzc41bpIyKc&Z+P) z>p1NZgk>uco(lGk}T<#6}>l-lT=ZN7@(0_8=me1 zyPV?2ykq-_1y3ub^{$2U)DQJl?BYgMmmORLhjTRBtqteHM*$I>Z%bXQ~# z*h}yYYAI3zCqkXU7xXqmCtlr-_w>??ayy2Gl#MfI{I$z>Mu|JRsH`LN`IA#WU_W8u5;Tutu3vaaUV@)K(T6nGecp zdXp{YOoZl|qh`PJS5VL43;*66F9uKoTWwnNBqBUBXRf|(#X+#~ z39qE4e2LEr5X*Xe2ELk_@&Z05y_T9%gKz6I2Vv{eY{pw6o9tKkt5d1D$4~60@*8-H)DztkyU=7)WpTUFIEV37^hZq@;Ygun^*@wdD2kfwY zxq+a4xEi>9xGTNbPdkfO^A{sKexE-Zzu{4?`aeEA(qY4+Z~5xXvoZ?dU4p1+D^iu=R178C)0x)617X9vE+@cu%$-i8FqBG8$) zA56=|)5Bd_Mf6XcQ_=)cci ziA>ok(NmB$6Ba~s({X@{a84?s5wV34TM*8{dzsj#<004IOH*A^|AoitQ*i328s`y7 z&v>{Gw3lzHbo-sdF*|jgJ>Ik4-t0uv`Mn>l=Jz`F-SRQw{n9p=f1tUxhFYJ#UY?XZ zjHdZUysve9mxj@hzC)WanqHv^Z|WgbHw)ryyF=^Qyw5(}{Wbn+dr)U@8iII|{ND)s z9f)!GQ@aU)i0K+afRMDb?!XIv*IN5>_@DxjY{HxO(z{(K7<~)_+(}_uEArbMsu$K1 z3kuHm79R?H8NnEtgM{505a2u(V~CZNqNpq#+h8#fA#JF!{1zcV`1la7zF8oiCB%D( z$D$@+xPKl-2rCfB7YeIP--x%gj<3?-(DYuyT*v)JkYvP`Wgb#put5|vGdPIeO!k8I zHNfr`YP)jVK5W^MG9{DkcJD!ou2RsV8CwMp`=#RF7U~$bY^^)6Tyq_!xdb}seH?te zs&Q!kiSDtWfglT~WF(aJ2{{i1J{GDxTPSga&ii%!N-drtGb{+@NVW;Dnh%~T<` z8_&Z5pz#wDgr`;32prk&El9ucYx@<@WX#abNDVJg-c-7$7vxSt{<{~X5qMbfHPmqVQzB={ zPKRf=STS$1EkjRp6OxP!HF9lg{5XP37iw>#8nr|zbXPZ@=@tZV|{}izdQWl?Yp~TT$ycMJEbo)cU)z z8p@JpoQsg&EVGyX(GB)V)0#){6??!GkN=7O!Ht*E2JMAaol=n&>P>RfaR;RC-LNY= z7DSB&>x*regt@E6aOH=jnLGS!xPQ_^l$($MmF0}x!b_;RaC&tJt5@*pN<3abuFi)~ zu2=&g+F5Rp7zn#ptd|81?N`HEd+|LBGm;T4- z6N3eqXl9i9aWiaB3VDP}pk0I5^)z$^5F)7VadXXr5}m3V(V3f7g+wTJlQ?XFDN#`m zPnsj@kXc@m?=nt3z#52(5Eoak6=d`#Bd9#n51Ecvdeh6VKIF zbrR)k9M8|@rG`55Cbg+)mve!Vm4Bm<)+|%BWF;jyd-Gyc2p!?eLfhqdogxd=q{AT8 zX!;(iNi)$0kw*dNp$7uQZsGa+sDHDr!EUq}cVHwQMmHOc<0KyLRp11IM1avm79}s< zAxJmjo;3^SpD}=~Yx$73bz52=e^)@dz6$|q8TVVG9 zdjmOLp#jIx;3{4jOS3me&@!X#Kd2n;Q<=@tbtWc6AcwDKecia8^#Q!NC%4M*e9<*| zBrrHX?BoHG#SigrFz!crmUH3sT>Y4uz8$S zhyx6~Y5l2sX2qI}_$Iw2*x!gU5);v-lS9^JlbW)O`TIDCt2iG}DpME_yF!^FnyX8* zdvSs*zl;kNut0&(!8uLVCZ(c|p;VaXC=(sL41=&U+BXAm9Y+^T49V% z0{Zt9%oPuH2DNNKH4L0K8d-bIb7}mbEg9awFuI`&Fkdo7oPip!tBqX=(OgMFOW5_s z21Mhb2vt>fDk^1FumD^z;pg$?EuSU)>{WfL?erx!PH6Tvwil|3*C&*#s#t7XmK4V- za{P^7Gup=1(SC|mBq11QBvz3Wl2D2Nrz+y;232&hiuGm{yNvbUA@WYz=)SU;ksY+R z3r%oq)$5I?B`uF>tQOPQ#~Rb_k~I4Cex<-nLqjH1FfD*IxZ;;ioluipT|BNE>)_*) zJ2=<}z^7(sg!F{-$BRdN-pP|gFffKg_gfkjL< znl0NFr5ClYCX=wcI_n0&t}hS655~V&(>tuCPUZ`x0A(LQFL#(Te51rgsxOrNAKt!k zX!^`NqZJ&Dit|PC{UbUv@TnG>fh;0$z&cVf8f~4Y7`+eJSdW)z%RkcnCx8I{a_&OLUTZzRm#h8R^TFO8Z?tlPxYZ!>F-iH!LjEjejzZ zmYp!TguSOz3*MHQf;%_WlN>mO9f!fD9eeiJuAcD@+yKfjUrmYGV(?Uv2JE;ggZ5A` zo~h({r-%!_S`HA7D*G8{O2a0hhQ3T=sQJUlVPM_(TDFayOR-wntHP_JFi@Od;q{+t z4q|c9{*tpB#>vPP!SP+zAYzAsI9a`Ikg<+-u=@Qfnas7VZp+Kfk^Jgn$}K#>;d2f4WiQ|xPlQxp3~id5>#D;0pCh*3GO(fHBcYtW01cgKp%o1)R)b z_qevzz2k9ht=q(u(*cxTHy*y)YW%hC05`d^&PAq zdJ4>eccVe-PO_!~?0gcZJM4jc^^yDWzJxXZ_0VEujWnB4FlDnzXM0`k4TAyg1~08I z$*vm+hJ_H!G#d97wOiNO-U5715jayAuASP9L^!DW5 zG3g7_pg^gTVPR0_+R{*hBCCX6ebwzy$bmFhmxr@{zCedr;FcsR{<-o<#SYnz7U98< z4SrJdj*{aWZuGQ~*(B~ae0nKl*C{E*WHiIBTY<^sadiYTLbql{`!;6ubcHax^h@%P z9QafL`%~OxJvo>K3Uq-5iU>J|tSxh$(D=XlJD!p&Yz@C!$)!Kmzj~>=6c_R;nYC|e zs3Em7+OM&1PgiLOk+RZ)CN8lxzK6^?4VSDWH6`#1pMD7rIkMf%-Y3+M4FzjsAJh_2 zW|G%R^2U<9+936?(`*gnJZ-FeLiu1}ZjbJDO!r{E z!Ct(i?wPTXQ&%)r95lT44ew1j*;Fp zDaoeejHEHG2e-#=YL|Be@gxD#*e{$TSL8Lml-w`YBo}?j<(6rxD2`#0>ZNaly(QPf zOm8o$!Aa#N(P^s|tL}>PJH1hZ63ta?Z+Q?&9(nA2o!2EdhK!4Dkf+umj4xk-)L?_l zmKtzjm+y5!UFGn*cxbxB)S{}mB~+UjfjZtQvy!HHUC>}<%YS60cFga>8a_jSB?WOa z?qpU$o`*OSB8EHskZ&I0RQ7+=miyPRpj}Mlc|9BIF2ZLdKK(swQ&ZX?YNYV` zaB9Q9y)I9|qHj&c1Ny1L=}wn3dX=QUht&K^}vX@-{hz&9QMz-iTAjPtJ__EdykWzfV zY(CNQqk2<27{Niz!IS0>rw(K^bRgJ|t)RXYy_LJzbxNH>Rsz*GvMaVaD!xS~sX8vF zjTQ(PB?HyLQMg>c-q}M1VrW7x&OgCKcvP ztLO9)gPGOp)TDZw-l4fREON&6WlYYYqm6gwX5)kn@*bAuuNZ6F0$Vmm#`7aVDAj-{ z*p1lf*K~9v_!exA23~!Faxo!qbvtbBe3RRe)eakvcK|{I-s#?USh>I=$vy*`bKboz zNZwt&^;XkCihcIw1EKx2H*bPQA$YLf-g?bI>W4Bm4Wl7h2Rf%YrRy7bzt@*7egNOT z^sb&=_Lnp69E&Q1((Er~EJ0{#X_}^YLO{*99KW;>eq~IN5ZB<0i&fB}XG}&2F9!jE z525QqrSM!S`3@IZ`3^})@*Pw`2f+6u2yn=A0{%=4{OLIOUrca4<4J_#z?Z~;E8@WA zCNQdZp$YbV)UjeiG&Qn1a^D7n1(=*ONC{*f1*NjF8DDqL~(-B-+ijA9e z(m!y_qU!vtgrv?-t00m6MFrXJCsfdh;A1L?hG+aq1q)HgLkOafVia;Of=f%!GYc6i zFs$*33Ys;}Q$ZGztAZ@#SQTXF+7XO*?o)+UMW2w6RP-?wB#u9+AaOjTf=)f-L4-o3 z1*qG72%&Bxfj5lc(o)=Wl@1s#z^vOD5)!=mDoDI1t6&~7o`m4iQnbHwbyEken1Tmq z+gqphm&wpEBt97&->J#q{nnfe!1EkgdMHiLcoqSOoxt}OgqD_OnH8y5005mQq0&q} zqfTH++czPE`eTPLwRS0BjJrT&0%EL!$O7UK2rezf&Q)N0umVWQhY?`OFK2Wk1Z;%; z4#7C=Dg}#5tdtNd@iIcVY>8~oA;d}`+mi?`Ej`XGqE3L>iE|{xPE_@bC6vSxGR{>& zO!ct{DHR>eCQhT6&U+;e)fRaerSzGCu!QL15U1P<$3Iiviye2X2i4w7zM+D9iU)Xr!)kYmL6+%V<(PRRQ=l}B;EL$ z3ZffVAr$Y%Kn!?p9Jtm52I?CTTpHuE!(z}wfYe4>JA>qiL1+qygk9F7Cu zVFIJ%Ruv?tZAQ@Kv`9Et5?JN23WQZYTLn?dXoOG-vJFRQX-r)B@^q_mpG!zM-);oa z6i$#25R6ZdKgFOQHlg*5KOzKJlO%3d5PHT<63yvWgAlNhkIqCe&PPWmSk!a4gvc(= zKuGb?lMzBT^3gm5<9zh9)2u4*mJs_>$nmeSgr{N&8IP+Vy5KQ{;vGFB20T3uJk10~ znU^CNpT2o9=;KUiJtGI9c*8%=w`%n-3CZI10fI|oee-AxcZmGuS5BO}r=KwygU8yNI;PYpE zzQbqA?$neA@L7%>SjvF^AO2F)(rp=i`eqL37b~nkY?>=SO-)&V&*S)P!{;zQ=X{o$ zauGf&@OcfNukacCd1}gdd~U|)DSY0?$M!{P${2hC_`HHo-!CCZ<8u=}PvWx^pRMzv&Bi>-SgK6GXCXfK;jmV68divKGKg?8^`qPKOk%1G4?Tz>|+Pzl@H0n@JZseG!n2_x;!zm9v^IT>>(LncjDM{M z1<-7+Io~NU2lel1cye;lHs$?jtvBD9VqE*Ll$55!=K!K^x)yxn0UW%h)LjyM;{^%$ zf`_kZ^wMLFQ{SY89?Y)*pmFjZ@r?OBc`AHxz%V@~fU-O&x6jQTnZN zJ)-Gf8J9^#^j*lK;;CJ7OXTxjhZPA;m=7Av0>+E#&ZqyRR8=s4g7;|+*wG6q(KBGa zRC7GvH((T$CMnv8y`o>TzXbo#9ZS8(P(Ap)r51~0fw9d$X;n7`R&`X8qCEaAlb1@Nj`;_RLN%~~v zFGxRV{Cx*Wayfe(C?3p!+o!3Lzg312`5kSFu&5puttTn;et3Mx4L8E*+l>t9ltZmm z_!0aOHZcS^9k0~D2t$DwpY0{UH2{DSz{HY=X)#!LHp-oSf|Q%jazDZ0C*D;SfX!)41ZuddtfQ_nMaOk{UyIGv^TeaTwsxrUr?qW z@RnTAa03m13SX;5H13n#jPtR&vv5APpXX!nxP^s$MxHTM@NF_C%lAI9mnaWi13-Op zA?(D4yN$7uq<+;Hr{kAL9*wH?;z<5+nsxvX&T+Dk!Yj%Js7`TRm4~%hl+`eG6%Xe% z{br!_j}T)5xUuhNd?b8@F|;PwZ2dCcL6{s*4sz8lVCjpKKs#=N4Ro0byOMaW*P~_A9W#0b@MlpVQde-1vx!CLaZGIy>Tu!buP9aQiQI*)b6xUsXb`~^@U!|dHaeOGwKcLvy zj|cLQNq)HvBjK0R_z=H5a%zpkr9}me>j`MA5tz+J*yVA)j4#(Q#gHeD^9r9k|!R$|Z%|)QF_3%pulbh&JSj^;MhI{hr zprXo*{Q^S_O;g9+Y?hnjqKSyxwc+sXvXzO-bjWl1C11;r**F zwc9nQ@hh2J;s{l44`FV(IgK?=tcurJh;<$c8=GSB&gQSarqJoHo?V!4c)`+W$%O-t z-*`g>p?cgXl2R_zvv&GI^hzc_CErD%Av=v@<2f)2aFFYa=P*DgO>0?ZLRRE5=$2)1 zv<4nfnE2YY90r`lO!esdy(L8r<9zyI&iAarq@Mg3eTu!!V8wS;Rue|q+pNoU6_Flw zA~nut#X`?BO!F=oEH`I<1>F%Oc5lLX$@v$k?qJI{do!$9#eu-HK!MY|E9gK#LmbcA z?8|GdR`+-xP1-TXB zD2!jD9G(H%m+wXh7;p}_J&twO4sxTsM2yEPjFrH6{LwJ}USZ5qXS~3Ov%>_8*Y9BO zfM4Y;=6AfN9iK@}ap>86Jd=*7Y{PgSHR3%s4~`lWFwWXh%R1I1;0h>QSfahh*CZj5 zlTkIBjxv4TQvODZX*<8SWMwUEQ3L9A_+mH;)k@@IcffAkE0*XqDjkk-h%acQ`YKsY zWPw??qyZTCrxvss@I$UlR6*>pzO2DYrBBF$IcQH$yC*#LVbi4ZK0K^}pO4~*Q5l#n z<&w4-vB*S=T(3UCre8#7b(xsbQy+yfC%S|ul2^vF(p6MwNj)QG=|ih5|1YW_NnzhY^F`D?$G){ptx`HTJ|ooapKlE--f zs>F%{Oa0&)_G4TecuV=?2ue?*E+5q4iZ<;2*iat93LkHSvvW)^X~>p$SY@5nM}e@R zW;<4?NM)+LN}BehiekS3iYdmuX4D{wk{-RCQK40AyBzs~QXoVnTz7fPtQlQ3_^aUx zw}5Abkb1V(fsuq*I_o$JoT`I?({KdY53dAl#W5m$FX}#6B~&sc@CDB-=Vjn%k=y1A zF{^%8iQMJNCJZ;wGxKrzJdOVTX=Z>6+wJGU4iYe)>8I*FrsO=9Nr+^UVV!% zXe_q)HP1*>;ACkv{1=?*gMm8A@P)Hry^zyI?s*&vxR3=vuDpZ=Y^CMUS3YGJ!oFj?T912z>k4u7aB&mXGY z9=-|JiRNX}qX(M3-#)y)4aJ_n;t&PBtQHHE%|>%SlE8A}^0@xxv6meP4H=FLVQ`yj^99$! z{_p0j#@~tIrJ(159+{+qeM;nd&ej3mJKtl!E(2c)NqYUj!OttVI~c3?aQ<()AjqJ@pr| zn~la@IMb*9w^PLQD%QRrX@s(9hYjM7ID3O})J9T8es;>{*w0+tJ;Jb;|| zdPIFai7!@Yh5Grd`fB4BNC|^OBVb`jvD-|_zC_;3bm~nUb}m#O;1IP*MjtE_Y_qsT zlI$(-pfgK^q5^nu23NX`*UUF!+KRYrp%}^nxGBd}u%wN~ztq!FpU}-fC`hE3^Y~vP z;f8{eRh1x07^VRB5xlb6Blo><3rnvBRH{x`+yk4A-)J~EqRYH(6J%`{o)uihu1={N zh}RS9z@|1D8;)m9HX6I(xEV4|093fqxEIqAH@#NLYzQ1fo7;3hZYAkbBlE_W)I4D= zVGwL3Q}JxrlN5Xf%a*!+;2G>jn4QoVNG#km{d&j-l%Yf8^0n&kacxzb)dMkN`e+dU zj)3Hee29>`}_GCnyL+yvK|ccF;4VP5wcC=wfop9x|2Z1CGk=$O<<(groXX*PQ4e-5my;n(;B4XFi_ zU_4oIq(T9Q! zqpMN^_oH}j+R-aE7QcO76TrAmZo#*JqVsb1?}ujq;d#B+`@mqW4ei0-o(rIz66%*F z*f{o}yv3t)ngGW(U`Ho79_1wBwBdX~(}J8$_u(y?pu#f#vhF1 zM=N0ClbsL~)<#3!LWqcHzl-kWY}(LHWiJ@47ne7i~%Z%Ge7tiIP~WnnhKH}Tl~RAKYN6%ciSr(|4yprk||Wvg?P$jj$yLam>GMNp<`N?jhXsA(QI z`igYnomPp2Ko*aV?}yDP!s!vyC+aKN0>8YGRrF2V9!r0oq~z7V93jCq_ZD&BYM1+ki;*)1S)X{Ul81 z*)=^q(KNMD(>N9t?CnZ&$k;tU&@ZMd$W@q1HH_wRwwD#H_v;^&LmIjbGaCCBSQl&h zO0E+teAT7c&2G`NS}kkclIdyr0b9%Z1p`VEbOr_@*w3fL+h|_|79*b)9M_Rj2SXTJ z2bNI~wL7z1za$f71fJ%YIm%krHx48Zg4c^L=&hkcNv*7wzZzD27Z;Z6oQGZIv)XIR zbibntS?XLKXlDE3U*P8G)kx)xx~l>OVs>qr*B>!t8>^!iqm^VUh*%A~;%T-mdu z6ym2N3w|QtX@#t&1183P3SR=RDl@H%c?g8u_GwKl0Bs1FQ?<#Q!shR6`E70rfQRk( z>rM6is@`xR1kK6#OoB*YCKj!~2tU~0Ikbm%_{7mT%-%(~{pLt{nZhQ7wWeC2q*5n# zA!#3K_=7UnrMcyGK3*h&a-8)AODyKU+DxCN{+w7P|;Y~B74 zFsN7s0Buz7J45CU=M`##j7fi{Gxc_g<;&Iu$qleFr$pD9>zXMaCf@G`ReI0@$e$SO z{aQ7oj}Lgmst{xOYW`y6*7W~qv-a2O{ytUMc~qi4CXdcCFm9XXaNKZZ?WX2@QnJ{G z(}SsfI*0YWd9aWXK@n61=KPL;#BV+8*>LmUjFS8FVG%Df9&!`c$QYUt3bD&P-Y;%ZS{A^cY@8M*ZGY zkkfP<8?#o35SRYV8fQyU%oV-biz5^@RSVu%_5Sz(-%A?>w_FMi3p(CZm{e$H*QXp) z1*$p;dY1v%xxf`$rOk+9PlvXka|Lx2VklxIE>^0;W{{y)k!jSBX~0(m#)sPls^u%< z0vsrjbA=lfjNW?eDNBRn7N=oAK3voX|F_b1S1#*vp5?To*t4F5@f@c*rrMNu&C$Y0 zjoOOpUv16_OcT)1wmKg&{04%CqiGAe83^A(Pi;g-cs|C~=S-wv&)J=%e&zD0XhlzEB_Aa3@^AL zD0ZXK`64*DcniXc)NMSEpHxM(^w^tsP#A?WrJ3)9-ymx9jaK_ksS(^*5pWXe{@^#|QNV z<*XdyFA8TpnV=u_Rl^WFtCPBbeIA(B-zt)kE&I zYUJyAb3$mylkyYLJ*z_eqEmo@_ib+5czyjhM_)@V}y>Ydo zR(Ywg&-XX??j~X3Da!Nsk?g&5=jF_qGiS~@bLI@}wThY)pm0K zVuz_oVw={A(wE@}G`G%vlxocWPA8|G=-7gh^x1^PDR#IVgEv`&H(gucv+0B3fMR}W z*-1>KT6cf29j<-W=rW@VN~YY|;Ikk0A^)+wY_PuvcXS3cQ2BLV>wnoW)-JtF;z6SQ zNnr@b9x7=wzmJ-jhc)pVN^;omQ0%?gqzm7ZK|C;mZUXoy?xYE*=Y*IXi|+%k6Sy%m z;JfklPilPcylUnv_9TaKzRQPFb0uMCD1zD~OA{4iXaAHRc-KFW{Wzt;C&R z^GP|uroy3ONKeUqx?W;bs!D{Ob-@GXhM53gpADw;r;W7Q_P@8xr7)jRGvH|u$Ow{sPEci8*4LS9V$Iwnn zpUk1&9fm%2$Jn?wt~(pQQsgP4=L;gy4QN`Wd^5peHkmu;oH4S7P`H%E<<*9<+P&(9 zugJwc<8v8$U59IdJs%OdI8b@kqM2SjmISKSH~OgLr2yd?p~;aRl!(5` zl?v;bj?g)0m1YZ<09?89S%g@~lQ=S*=54rH0W))!WUs8Tf-(rNF~?>&{aLkU#xP{r zilBERB`br)v%UgRz=%$7zvcYK8lJ1gZ`yA;r%}-gydrE)1~6ziYns=ffrbiyw?n|BbRVwsdb9gM2MsZmG<+P0*58ubs2+Zv7`b=Dl$R|1Y)Y=C>TOe$cTYmi zeB9FvaSGqzp5F00g_O~Fdr|Rbx8ipb+|qpdv90)b$?QbI|CqV(4pncavQ_-!ZmOyr zb!ID-yleQd@+l^C={tu1if?Q+G*wI*+w-f&^~iGK$Kbn&FK;o1GI6~{TN<+GZ#h&p zFm^hktBQ24YEG#^8~Xs$8XIZkHQ&i+l}z>0cMgwh=_QZRNZj+LMxV%!wNVP#w()Nb z)p6hJ*kiZg>c;z<0!V|fhIeXQ>443b6E9>~e5GfVfc<|emkY#r%mlnbguo==`A_uc ziohs~ITz(=fbt<6Pl;$oC%dOpW>+{TRE@BWNYqAlmt{&~_BBree8W4hGPHErzvv1= zh@oiUdLJC-|7a4Gyf*blK1qBQBYmBLpg(84WrpQ7o?e)GjKFh5>G30SDG1kcjMXE+ zDoC5V(m|DQi`+f_+a#M3k|g|a)NvarAg+2*Zh|(?c-uEulb?38d0RF0Nb*A# zoCrzTY+4sVFiPW?BIJ?GASk7Ki`AD>-?$B?H6GRpELusoBpA+kZR)A~eV>NUoH~$? z%-6wRNsLsx^i!8qZZ%8ER??48l#$~U(mv(w6qEjM-ri2X>FI=Er|1IChIh2)cZjG# zqESYt)FYE(h4=@uDSJKc{zo;YSjG_X4W(QIP!9ATqsvYY=KQD{z1h{acd`XBQp46u zBlk5c29|~&Qol^R;N_|3VnEU4ib@#*v8c28L9JWThz8Z+8%nnJsfW=D+R!+%5J)yx z^3E!vvXKu>j&JYs?+tQp_s#t+J?gWbSa*t;5SMmI=AT9bS`R;_gtPXpcZIQFRo;$9 zSMfHB@kcb6UW~aHblm1C#N1#lK3;1v>QF;5dor9Pj`l3PR>s1+-8b)M7G4UzJM~a{ z_!?c9SeHP0H4>d;s~8yU995^WNXVkJBWMLd`2}V$iY0ZUpJC_HAW2&#s);kV%=~i3 zr^o)_+}_HCMMjvyGW~JVSLmqks63p7gETz@^(zU5Zs3t+|+10gM2-X!IWq>RQ(OG^Noat z`z6O9@H)PMz3Kq-U}jWZ_f8G7?~FaZxda;G>9S!%smH8Gb*3bb;zsncQ-6>Ts7a9d z=Kk1}NXz$q=;P)uLLUe{T7-?KQh(O!0@-$;rzeu4 zMj;?0eHeQc1`LJAivOZyHr*lW85;KWMMOO-uJM&#yo5hjEH+oP^pJ{qVt-dRRL^-| zLXIQDi#X84e67zLIeroto{SJVovqzT#cc1|eq{FnZ0_pn@w$5yCw`Mr)>1M($>Zkp z=V~Lt-{1s^KkdgvTn6g=6YphY^l)sEGel6aUWZ-eyuuIkdhV2+EGj2Y@1mmWrThs# z=*aswRWK$EXV)Rlo&K>Dusa|}m9TQPc<~T8yA+^KUwg~&#&bkoW+^0h$1Qn{10@Ci zr~69E=t*aaC$=$Yl66@1CO)DSuv>0BkeLL2^e}H$zgYv6dz0p)d$(17K`BXNUsSp( z@ZSD9-D3GRFO7QPW?!239`AnOW#XOM4~6VHu-#H{Pj?Gw=jn`>rwk+SphhDAm3G)? z4VAQ&KWKuJVAMQTs`2NJB*8w?d>y|dA@k9oQsr^Lm>4*_oLn6O1c|9s$D_~9QjxdL zRE6Wc33j$%US8`p10fm4ox8!LjbFamaNS-A6LxmE0?u}=A`X72c(oe*MBl;M_-(w6 zeTJ&I@OV7DQHg^a&aMYr_23gRI~+T!l)ZUk=s$y<$7tQ?rNq)NL#Kd@8Fl_b3jBp) zBzCuf8j0OI_zhZ5x{+EREwRn}LnT}JCAXn6#P)ig$CgayZ)?eH=Tmcu)?$T$U2J|G zeuQVXA$G1;ch@u7o6E~C;wDVO-xwbai7^S*6L|+kIylkKZsT3Yh?ZzOkgEZ}2}7)fW?F{aMI zfI1cmIUh3LojsyC@3#S_tF;@I-kJ2xX3{(U987%qa}@jI4JFRS51RFwlw$g5?>%#q zr@DLilR5E^z4sL;jcIw>V(f-wNzM04(iiE9jp&S0u7ha#v6*y6olWy;c9ez?b&6fo z>oj9)d^f%=)&F1V_$AKW8JI)!Z^~68hoS^RnJ?P zoGir-K0#LC9M$lkfZ|p!{WcB(Sc0Lk0ukI6#mzLVjHI-o1|y%m>geyF7D0=%$>!b= zttcJ(vx-05!@{cK>7S4xLGzYL+h0bco+~i$6=u$!@66fsY;|U#=BzVUA9d&IL+)Jt zMQW~ou~}*ew8xZ~TCeanD!v3eqFiPtKLuH^b%{g3mVotk<#m|w8bn92$t+vb@kp9f z)SG7Gjnnp`SrJX)XD>S>I%xN1SZQy0F>GC5Ez5r3bmryhomy|!i>P`}UnUj7=wujw zgij*U)gsb1tyj*Lis*A%ZeyNEvkh99*q*qUq@R~-45@wW>D3G`q`A)iBd1y%ry&N~ zIKPN?+FXB*W65SLGibWweUO2*%^@WBcO2_j+6coH*KmvpV$f%k^%0k1%x}<|1x+M< zEmt6G$S91`wt9Ni^;ilIA;Iucabz4h_{+6`;>3&9b2#xm=GO_TE!J%$kb0R!9@LlU zs>%L|{s~w=upgTHwt~@R_ppykVZ0T#G^Q`>;*iA8*&GV8R}jMw#y;hD%CiGj$UzAm zw9wwEiPgg0Zc)aJ$7$o^Z9Q$=t~QXp%MD!SW|1cZCfAF&O%nhG zBY2NTqS2S!^C4SMh)fqOqkG&OUH+hu(lE-3{+5Tz=(GIAz!TlbFIR5pCmgqQyD)vd z4LIy`|HAe{+s%Y+?&2dYb3{j_atv}E1jP%-kTq;|+P;k3Nt0X4LhATQ%#G)R-{(a{ zsbYL~)|}Jc_yc3kHgRVmRL@4&Dmpq6ID8UYD2HRtnlU80!`sAmPXETkA+b3-AZ8gE z$Isa;-VraH{K{@l!xVl+2%OWd<5;y;b4U3SkNB4O=p*+dYiYGK9$NvL^;pj(xC6;Q zdq+RteI3z`et~m1nKX2bfA&ri2tnA7czEB%2ZyLFIN4CU#b#TrvjtL{vzAtOZP`r- zp5~54v{M`LPrA@;Gf0SJPA4_5)rX*SU`%Pn_Njo;>%3UVSUDY6t9|(Er&KG~>BLz< z*}@N5J3~0|S|8O`{nNKFt^onJ`G%WZo2I|fk+JtfLUZTyJ#2Y4Y8(5qP$YNu@XD;l znowjMS5r;I%(>3((?|=4Xz~oiblAi;n`hR5kyYWZ6e}LpT*;@=;rH+%l2rdNl_#VqUlObxzpS?4?p~Sg3!(I#{Nts|-$VGF^9XC#?YsO^+ zPbS8QJ09U2Zr1+gZ#2mknwf&MH8c8jYMRV5(`24IP3Ae%#QcOAPiLB3!NEuS$cNl% zGA}(%OetrYn5x6^dFFs%yzp3+_}3rzE|D}P_6FNuwb8fmE+(Glbe&v>CW#|W24(Uk zpDv=b+9l*vGjE2qJSQb)hS}>sck%Od6q=}KXJ}mT`nGX_vW{TUi$G{!qzRVd?+%&Ha-oDqd53ZOGTeA;iKFfSp1cJ}`!ozY8z>@~A83?5O?fANEE> z=l)UmPfnoXf4O%F2X%lxQKqVYOyy#u9=N|xD|^HJ2l3;c6Puk#(I^Xe@~j>gN^IqoF)#M@=4pX* zK=ft2IqZ`S0Czhn>+Mkj0D{F-NqgexDI1Gf&$thXQQorjnMeNb4!^Z#`+GHU&tQN1 z4xE$Q+U?^4Ic+>#*Oq@+R#sWp(%Ag@^S5{BJjd$ZzRPQMkRxX!8Ln>|p3}jfKv`En zrz%t_{7fkQ*iU90?ERta^H!7#;SW6fPdp^r*kLi6>pW< z>HtTHkNlN@cEulO`^P01^ey-D$|CKg;z@sLF#h0t`Dx5~UzbbDNuF_hwACHQmU5UB z2Oy!ZVEkb*HDgvu^ILOl7WdcG`Bq;ur|E>nGmR_+9l?F=@dhAgaD~M{MOQOjNq3B@CzdCpKOBIzeJQcK&1Un`G1g+-vKW` zXlr2GW0pq2HlOI6soDC)2XvI$%FbwOAIL)l^Y+CO_eCi=_+s)njYlrj7`6q%$f;4 zYphlFFmnvGXSlx@r}>0kF#FGlDt%G3Uz9$s{7o78)5GlnyuX;GQQ(!WvhU_xUhfhA zV&IKcbH0q`_6uH-^1p%j(6>8j@bUp~tC*pgDZB1H7}%Dw6=vU*(bj%po1y$8GxDcl zD*(2FG;9+O3br9?>t&>YzIfO#Y+KorvLDFEpN6dn*n;l*#vSiy&R>2^XREEMjJEa* zTR`~_&B*V-7LG)_P#=QvbJsj;)U+uqg%?=OozsnaB%V`nP|$87qKh40e88BzTlufd z$e)IGm4UYK=d4YJ2nFlnhduDnpB@ZS%hc>U2ptDF;2*+$?8h?lJ7D5UaOc&mvuN!P z4ia(;A7v3T;Nm*K{b1wotVRu%2*1((8=hldo)~Tt9H(c%v0q|1Tlx1O7WD0>12-)5 z&Qb@z&%^o+zz&f42LThI*3fM&nYAF2GWBWCpNtph#QsLc+29Fc<2{`Ag+0q+rZ#q1k1n%ggU z)0F?bjQnZvUUR?;z`qR&?Mn{|yaF}10STcmHuekNX13Gp`!e$PjD58OUjsb3*APGa zj3#8_v3weLb+3oUXan~ehK9=<^O6% z{vIIZc>qSgmI6{#(DY=A3Q7+O*mu}Jvww}KaDW*7gYy33#nP`H6x^@92pm5}a5+HaE>`~UW#o6@c2!8j=8Ex!i zz`cthV6btGN}QTeqBm4{RU8~tgVaVBQo#QlPVdK1AW&^!lf%9{qeO40xGDYMpqi#O z&dg|IU$_c5P*ti#Rz?X2swY@58M$>_OPXUJ^A2GRmaqE%Vn{b~JkGX|EdDq0;!q^W z`>{%l&nS^Xo}fDDAw5TJe9EH#zoB}A(Fdx}W$j;?QKC0g2R)>}RU21jw6U)t{e}b8 zwJLF1MhSOF`}Z2spb0LOHuQbLi8)a1JcGdTzwz})!&M8P-AIW$GfFs+1+BO&{Mt3x z+9HiaE~=eqj$vKd%eB|+|AejA6rFUd7$Wg^8`8T!lT}IV zrfos%N7bR&t#)lJvb8pL{bu$NYGXHTtc~5;73PLXzwhLmmf}S6v9-&(Q!Y#F%)h{o z;$2nSUsb3uPWlJgDPqeyfH>*y7jfM&`$ag6EchC;1$#kM_5wo6XeT9zO1@f*xqixF z(92fIS1;4K#NoXCj5qfC*?6{BlGckue!;z+IUA^UIC9GW90*S2&~T0N=VjzilP&OP zH;zNIwRz&?WK-C5!7p9n7+FN_A)R{eWz})yjvVy~Py76zyPwW;KW(w?X5}4A!|Z(x z_y@aNPZ_Qfd#EH==#3Bi?y}v<8tZN6nBhdWzGOuAo&03UB1Von&wcoB+_llU+BWVt zCpVYOCOsJcGZdZ`F8eGTKew0~=AaAkDJX0&^fZ2_)a<)sdHFdGj=jY_ZRgE zzoC4OtR*_K(>2wL^U-BpyzZPj;AxuAO4REcFNoS%iHkLcQ-=dc4f%P*vL00=Px&Xw zV`D;%smrOSjVwDTirpeBQS>y%7pX~(Q`8R77Rq_n8a}^oLe=p3zUH$W>Z#clynfT< zFeDQU=3HEE8XWI7h(nLD=CCJPVMZhk!3f;fJK5lQ0H%&7N2feFPz<870U4K)a^vI? zjEyZRej*F>*}uFEz{;Fb7n!91B25+DJM&~Re|hr!=d+O8FOf?QkUW2<{6EOZ?{bMg zsEiGtPiQOSqxB5OIpw6~VMknn+p6)-a!5sPt|BE!ZTn-p*)D&yWU*d#aLxSwwxo++ z^gdjTZo<8L7Ee!;lJ(Sl{-o*2cs+BVbpXSmp@gIcRIT+jpF?)Sc|goG!JKa#1?{mx z{#-D!J{$>`PD))jmeU1-Uvj)`3ZI2pUud48wsB= ziMrC&jH&2du)J5L7itBNJ5Nyi=1yhbqp~kQcqgu7Ft#F<9N^$}uOTJsRI2Aer()~%&HW|rw$A-Rva$mS3Y(d&F`Zno6WDoMYJLQ z1y`@I03DD4=)Ts~4-gDscZaFOi-6h}6{)VZmP{5zEMLdZ;&;xft-SU)Dc~Q$zBZ)7 z>a_I->D8%PDRJ-V4`|??ESb!!BK4TvMsJaXABDcwh{nCydgYn@dG81ANLM)LC}qd- z#;5N|Tq08qPuYnvfV@(<=Cm(4f<`!RtOH{9$}9z-ZW!=1FIhxvg^w#&+)^(4e!d#_ z1ELtzaI)Pg6ppZ*c`q{gIAd{v6@Iq(i6rIiOPbUpM}%N-1pk-tPI$Tt)ZQ|0Z`AH% zFmSj8;;8bE&dBc!1(41{sulHDJ3ua(*#qPkcbzyvjlDkifPs6bll*_m$nOBBHFA-$ z5r9vd`A8rNEbVhp0p20|9b1eKw6@f-)KHyNbP6H|CfyXJ&?-T7!sYZF%ze` z2LLUYG`3&h zYL&krBfkS&&}uC)ixCT0{d90PXO&i~^a56W$;FpmhErzAeEjg2PS1z;cVkoymThH0 z^L;Pnq*d=j7+NNmD&pU4!=IawPR+}Cvtsg2weI{af8+i`i5<7#wkd6zG% zhu+pfx6Yk&0Au9+8qy5QM?fVG%_!j@qPNevuk{-FX2lENW9^p$GwM0TvEy)));abi zU4kpNvq2ew_REI01>+pqQUrAz(Jb%Zlp}V2((*pSQ|$Z!Tm$nbp5~v=S(0>*zo5dm zs2%vn%szk~J6=m;mH(KG{HcL=zv))sfb1~yR$Zb5w^O88i@(${q=rOahup7lgjIQ|FSj$;dVV^p6--EhU8O@;n zgC}QDH}iB*gSs4n%$|xkb%3~-rTn8Z^6zI*xlN}2fJgL8NN~GRpX{YbF9!&HyYkP^ z$nQdr@41<&jD`I`15@owPnB!bPH{#%`{a?Lu#=U48?sH`emHQ2HEhagoJd2+bGCY}z83;d0}JbN*X63KW$e*HD z?~C^s6rG8rAB@MVL9%}ZOLUf9_ajzg@8P6N*<@8ZltVfvZC!@=@X(bHCpHj;* z0~UY$=b>wK{*UXp2bv3$e0#VsiNgqmQ&XjD@j-pKcVWTNt1t_h?5};whX@GcoQlAq zIwJa7{vhT%09*;(^f*8aPBmgc9Mij%J|HgItA1)QS~UAOh|SK_AJn__UNG(rU-xjp zh$eGLI$Aj(`)(gK+hx*d-{2N8bpCQ`1 zbo?QYDLO85vZv|z3Nk~-Sy*SG+ez(h@Rj4L9g{05FvpBA9KKC0W z8uQB+w1rha4)XuocmRWyTL1c~#F~r}eb=EcZj^icF{+)CQSCmKl@@2V7T&B9)fpuY z7Le0bZ8uB%|7620&R`a9`x_-5&nR)QfZVTY>ocm|7e>tPS-kLjDsg&733n!8^foIi z7e1Jk76YGFST^6JxygDN`98mMR!PIVYT^}FruNy)c}VxXF8BL1o?`v9*Djg8dyQc@ zC!txT&#<-G3F=B5$1ck&0gDrTg&R;r+!L>k6=|&+OP_CZ&J;#DRM!3aO7~s~v$@9~ zVzF?pP-k(8i%M)(!jMj4LuWPzGl}cjUV^=He!a9ZbB+)ZXu58%;o>IFsj+d@^j%D( zzJ;fd!%x6dfv$6@@zxTp`@!pyGC_xOcGaTcn!|39tEhh1>R;_n+Q-wkTC4RR##A3K zyq!+KR6~T*lcZ($rw=B)DMwh_JzRjII8dqMk5wCId4{fGr-efxW!V2^za)|uX23u; zX8=$423VkP8L$kvvKqY3!7uCM9uT{Oku;QP*sl9P&?+)=D2FrGp`7;s^%y`6My{M> zPvJI$6u1V?<~>;$(argA*OXlND-mroq{*~ zI)qSoso-KzGz40>z@yPVi|xge7@zoE<_p&k3ZOcjavUef>vbT|>WeSA z)PD&yGtMIJ=SNSl>ShrhH^RQ}Iy-qKn>#`|FT@k#4$eiq*fz;wPOIr<=&Q9YubPX8 zoZ!;dIup;H=$*6q>I-y5cV11{{B^|A_M~gDZA++GrjdIG&%aE-*58aBX9d3ss_O}jm{C-b#eH{&Zb zogGs4>n76m_R-9gRL}~Y9A-MTI`iNx!w^~x4cK4jMKeF>x1LEwR&%L3#hdl(#Iqna zy%WfRTLjt~%7E#GKO2^>3s~(P7@HNs;!r1q1&m(NE7sZ7+*e>`ORxA4u0O|YNz0b^ z&);?pjLjwWq(pBnAQj8vWxRx9*Xt10`G_QP;;`*sKc$;8+o;(eugkVaB$7!p+2vPI zd3}Me^%ApAJZiRqMc@xo%hR(NzFzY&Xx+p3V0Q-sBr+ z(h0F+qCwmr5e~kru`u!{^&L;bJpV4wOh4_vm$L%BHAw2Ww#fcFmu9{h6dcll5o17_iW=!hR zHa-OO_h3e- z{g1#f11X{}#`gaxDpZNp%TQl-I@b@D0FQ~=bqH2d_RJ#u}dXK?Rh|wIb5;++qQh>A?UL%?K!mGg3 zoK<2*sSOdAKh?t^;7^BLkmgTWq~LE>Bo3t2C}@3*yBV-ynuwiUKzFTs`4af7O{ zJ`Gfs`C7-JxdmB+rmH$Q(tLhp4I5{EpDd~7wpFQIEk_-^zp2_lR5 zE^pIIo?h||AFA+Oz9#*>$S|ntbS}P`OhJ=gM^u(s<5=>CAyy3CB;vzoAv!J>xKii! zX`R@yX9Rcn=K09QtGuY%ee)!WIJdF}qiy3jMBVg4?=6|e!B3C@oXaaUXB?FRGZ^Pi%p2%(BWi7kG zYcR8ST^K~OM)b=9KC573kG#2;eXG~BYx-h)I5`i1krme*!0c~!qMyYJSN)D6Rz{K3 zylcRKDDi7`DB8(wePzA{-*Q5bJESdtF44R=mga(_Rm~4wVyO8dnMU&`$SP#!le2Wn zhbU;WJycR>K0jJATfbl2Op!16*Ij)8UG_dK@h4um>3&Mwn^7XwTtc;ppUZlC#2 zxDPTh!l!X}E7wX5@41JH#B+o*S>Pv|-zQ51OE~_QB^0QMH|2;034ctZVL!AS7F6xL zpZfssh6R-?K^~cZW8EaB)!|a447$nqXtGggoVLY>P#}r<(2A_&WoHz-o-fM1NAm0Vl%&Ck+Iq z<7Sg0^riUUC1m5(<$ve%)|>wwmcjpwmCx|MJ@z$QQJy3C7#Du)FAfXLVr0`|W~V)A zyhiUg9$F5@kNqsZJNXo2!?SKCiOwkb925D|Bt&-~+BgCz(Bp`c*FO-i*`6pcI$f?` zu6J1t{ryYTGRMnTx;~7n3~@VL*G`UuRl@)CznWsihPM)MQDZ>d;uLrNKH8eYU7uBv z!WxSZ=kk7{6QlTM|Bd7xE~fsZ*y}dhck#Cu|8lM^388RDcOT|kaDuUzUQ%r=O3_`} zP4#EWM#03c#eJMnzAfwAq& zGtiD-)90D>2f$654OpNlsv@H^ilo>{14a|9HgHj~P*2ElunZXQ%4Rm-aE)~)r16o} zToq5%Bo;3<^Bvx4=07~u;h_$H5YN@*cY7<0R4V(p8Disx-<wgN7 z-Yb7^cxsbM)MS)MA)(dCLE@=*TmnQ$ZvfWAQ-jv3SY19YEz$QU=^kFL=q)Cs>(+2= z`sV60iGW?YDJFU%ZbFsg{s2k+1S*~~!m(wzrmkRog^X7Af4G>G5jt11 zkwXB4(0YgFqbp zabeh6Acym12r^kuOy-a8I4U27@RlFwR}ObP!*j^gqLeiTV~j%Vub$dJY3lLoR;Z52 zgnL2Y7?s=fOmu~*zG*}Xs&BeINf{EHo}A+JWQ-=c(~}`Wq|^!t;f(G|5M^05=QwiCI10`U9EE+jS1Hmvi==(?V33^R&e{ulK#Hd zXDR0b>1%$H7i&e@yb_H6N@f#l!}bpYanDiz+lI7Pl(AlxmGb+HWuSKdUlBnJdKlxuXv#sC8;UE6L4?gEE7EFMCM0W}MDp+KkB;i*_9Mj2Girk5OPsHLU7@O1&ESOZmUhdk0XZghVasz6Cq^3qDq8KKte-cuP~-7G46@ zf;6f5t)2eu-L54s70|BBSn}HaR+nSRE8FQB^0t4N^Kx$+-hSfQE&m1VYwblE?YSak z2x>a|Xv%)KgfGz*F92M!@!ZtnWpHEs%7!T`x&gZ9nR-lurSo%H)K2A%1uY+?;cGn3 zKcAyUX=CR+ZiHsDFL6k9GY6I)q?=+!&vCM*+PC86*xfh4!O~cWna>L(7CQWVg;=~o zrOlODta7d!ZgTEM-U3h|KiDGOaFg%aIeg0nzv)*hL6k{PKz^HiknRObFG~O=!y-cO@e`DK$LphgiLaPOH^R(+_ ztp|qUiQTuq+k4BZTDJ#8-zUIt8y$u({CW}-6Yan8i0CqjzTEw)Vdau_;;lU3I_ZMU=slG>JkHJ-_6+_i{7nbRJ~XH9#kRvp+X z)9q0`W&C)3d_UCz3q|9GlF3idv|<0{+DIr4Shwc+lby*nYpuVkGvKS;VK)a5?ml2+ z#d>DhHDosXC++OswOj{%XfLVS`m{EZB*V_$>xJ3C30d4vK?Oh(iUmGp8|K3x2S}oO za%a2|jL_uZpF!#>;&FKf{Uhvw;XMxJ)5?g$& zf1*gx`jGWCWbIy|Wvges@`WQgwd_1`!=eGkzBfYVXeUzO`o^ub+?aes&s3dZ%S;Ef=cGE#v^BVECOj}`M;f*4rLHaC|CsvJ-kC_eSj z4@?|R#;n1o4!%250MDj5;17Sm9rAFIpk(9Sxidb{#?*Kc*o3Ut*4bonM8X?0P(7oX z8c@S@&72zgnW0WdS35-2v4=I6D<2j!X!uqzzU*x@9Es6G+ftzy8%u+gQSpt2<0_-F zyg2t1pA4T7THZtiwYGKpG~T9MFuq)sP@M5A4{m>sAa=gy_k^|holDJ+r405_ctVI& z{^oqrrUD07%%{(#a&$8r_D(y=yJ+w99nsG;7KCywr2>S(vr zCS4qj{y^8G%Y|F!+SR)Hk;&OG=!s!M6O}LjA=$X#Z~|Mh;y0;{d3O_LXj|u;`H;F% zH)C_|;gJh~7dt->IzO|`kAHHn_~UHLE1qWI?%Tl-0l@Enc8^X6^-o3@LH%mT6`7s= z9cxZ808-?MYT(p5!(O=F&Rhx>u zFI2dej277;tU0ZM(c0-f8}g3sDDcg*(T4$W_$)-Pd#u*mx}p@wS(|(l>%#dMVlXMx z@nd&;tn>Hqs5U3ifd%?{G9st$@=>p^B0<1^k6(H=F>xk| z@3G91_KAKT^A-Z44tk_Krw*M15f~g|svdQ*IeC6(#c;PTr@*tJy=xZ@T z!CkkgriId}oI_lR^VPyn94{A>?zZsHNv7$@ymSHg!y5D9r^cOwh2!>LYYX(gHq9qB z5-MBQOCLd>&j}@0j+h_#N>chfewA>!`%b0HO&9C%T)pTu{x}Yvu-IxI3tvQFF*W&@ zWK6bd56Rc|9J)s1MY)JasztAC+qiMd{@xZ@qA!mY#av9 z-bev1-L+rjtF?nQrdb>N(H)2Qnjba~1G(^v2h&hD)>j6{+Dsw)H*SgPS4MXan5G8r zxMg?JYW>5b^IS&tlz4K&`_uq_g4UgC3Wgrt-M{fHyYV8aEjE(Xz@_W>-u-XBMw6bV znrL!h)4*slZYvi|?93eJuUVg~qs!b*Z)rF*H7BYyBknL%rx{@%ejyAeB9hBrD)KQ+)2hkG!F5FN z`k?h`@Vd|D^Oei&Cvl9%g_QD3H>ix8-4aSQxv-((i3U!F{qaZQiiHKI^<&{+%?F(g zP{xL&ee*gY{4xzbH#2I?tR0Et86Z;$TUd2=|J7!2k9R&Z8at*Hx}ogO1e+CBxc{W+ z&Riyo2B!Nl0k|`}k;^2xg2o%anN2Vw**lFcE8@HT=b99GH6CI}Yc{E|(%5uQ&k*KD zmrHo^Fp?-dkjqfU(g;tW>FB-35>E1SeN3Fqkmjde6c@q>TKgLQ3N!r5t1Ls?98VfV zyh+kzp%jC3F)V{wb027~H6kx;tqogS;6si10qc%Mlnq#OWSB@?8Qn3^*K!E>Cq;{s zHAkOuHOi{VF{;AS0X3(0;9}*^*<>EucjX)Zqnzii+cf(k_GQX8IZj9V;6&d~eb7B= zr(RT48wugwH>AWYhW_YIuWw!)?1baT{;5%yiL{TjTCMkQ?}z8)y5yUIs*V{yf{$B6 zbSY-;O5U5k)AxPWMSb6A`g^^f*;Z54G1KR-+BDP4brQ3V@IAINaTu>N4)HzKrVA!6 zSXslW;Aw7axF=AxuF-SO%7%qtXJD;g9C)NCV zrrZ|YUwhfJrWS=^?S7jf7X;zI0}q$yoj$1Z2RNvt^Wg4eZ)PjClZF;g?g*Xm44 zuWy02xuZM#`&xdh3e+!C9ntNwYO2=x7QDfO-)i@lt<(zTdc_WwSL{kv-lkGCTd)qi zdVf31aOVzR^g*Qq&0yHggz#XtoF=YK1Wb)0&i&QcuVIR6^KfJ88QxKdZa00`)WQy+ zTT2%MnvYE3oA;2Zr?sVsOC-$50sVy0MLo#jY0%L>2e@j&W*ocCTQPy4ic zjog;FtJ&(8^_cr_C%@0}?|AM{mVwuYX^+?fP#1Nh*H8^T>j`(A!rtliu)ngXisM)Fa_&>SufC{$1 zixd;CK=NMG@Rc5W)c9iClGbId(^c*tvY|rl;fiu)JA6^l8lP`ppYdH)lLL+JW zI=&70t9s|}(f!3Y4Zn2!{{__+>t#DcC#{ji_}e7As&>r!p-|Cle`m~OIncIMkG4G7 zqho>Ww$TZwRioAp$zr>%M_)swBKay@O+Q-z*((4v}a`c*J8vUup4 zAdLpWe=rurQ#=Ubf)z=LUKnb@ZqNNR4(!pJCxfw_zGh=qf_~*Qi=ua3v9EQZ1_ZLF z4y=$Xs(J0L|C}%M_BW$&#I?e2v3=-yz47m4=#BrxxtZS$*4^=0*Xz64!LF|QVR6%4 z;uO_R53CC(+xMGXfEw&Pe=fMQ`UDPzHe4u;aP-r!le>Eff1;+c z?8XnC$Pu9A{hRWZr_x_^YL}9fIKoNvG`2a3n&v9;oBu%NXoL;Z67{LJJ!l>~yp4A| zIgQE9T3}Fv6kBdrFP9YCIN)icJ)9DZTmTYAO@`kocn=DJw59CgKK*`L8f5C7GswhFvhpUdo5n0w;beZ#9+I zFfS!A7<*&y{eX~FqxqO`pc``SBEgo&t=Cm6u|{;oxc=G&@ErkIlge&@JQCf?$|k3W zoRAPguHa1NabVp?23`3X?WnG)0;&aqPo!Nfz8=(+trG>CQz+Opnx_RdU>&NQM=T0)IbEPCw_!B5)aC1zx_>*`%eD&0kQ_zamXsSS=Mpm& zgUjUyW2Of864OSaO^9^?hjWqKCrtdyCWj&-V$qx!r6_Q4F``Kzzj*5E5HcXNCLK zhvS}pEGeTg8l28QVlTXMEvC+zcd<9Vz|;JiL}G;H_1=+6OfGT~Pot%`c&3?mv2AYU z@!D9;hY8e9@A6doW8S4E`-j1J?NOn!F0(zJUT?79WpTy@`(3uN-*x{I0AX*9Qw61a zOJgXfuEH8IsikfDSul{MqZKUc6w6yjy$+P4O$&*{$(DC$I`K3&vB2^k=_Wqz&F2Xi z69NX$OwJ4U3nn|}2L`M4j}s@*_jq>J>YAfW&5wIG@}~TtqLat@H6Jh-7jp~Bu76w)FWR=9b8XXR ze(XDStvOUox|GzHCO?YHM7-u*N*+N;v)QkTZ>$pa)t)U&=%#Pz`4=S{ zMR9XhE#~K{iC6Bm{h{+GX`-E7>=JFW+3SZyk#}ARMh1sbmaf}0pBhA}R-m6qp+cm< zm7V<>Pq(}^3yf{PoMAeTM~vrZB~G)vC-o#Bmr6d;@(xHPKkm)qQTF(=Wd5C=CeQuS zr^NV+r0W#kQqQ>8HC|wOgT{0+Xv;Bx&q7j9bwQ@XFp^bu7@*2{2B-@{5zWTDc8J5_ z*L~?DaRM{vUW;;aV+Ol_g60HSy-**tzb%}yf6J5wS{;{Wxz?EQ6eRoI%8p=3TCx3R zr3RqYx!sll@t3CuqQ{@gm0yvl;6bm1Ft8#-fp)~#w-FDn!~L;vcB)pb_SVc&d!A}; zNj8j<(J>f~pE&m`{gA`8{+O#WpNAmq?`prunuWnQ*-(VoO+{xo6j6g#qu*e-mvuyLY_gM_ICDb!!?*7!4OG!_c8rMB17UZhmQ78U;2#fFPiw?{ z#cDWj8x{xDDbIXAm&nc5^;G6TlVEQF4p+iUe%iE5TO%*|ZRK6rrBoYoZ#BG+wy(_K29{M`7s z4}n(rDbo4PV#nUaR<~55vJPY43&wu0WsnU>YfH@7y((`mo&j;A-^3fMwZ7wLx6ZyB zAy=Z}pebTm(uih>p&GdEDB#5#lX?2;MX||+wV0SoP7FL)0at3}A>6a65L`lCC z;?0qM;m+V!eSwZdKlZfulJ`K347SBiQ0m_3>8&qgF|lH$imv&p)FaC(=UGucmz%`Z zPGSX#B5F~3lT_~{>5F}glQhXm(ib~dNwMW7$q1mJLlzC$hKh{;h*7YihRTzD zt+#0a9Tl6&Y{Da_?GNVa=b^8%stu4~VpNoipV^v2l4oKai|(m)I~emEW#4tW#`sry zA8q9wmpBrqgIv3b)SxvcmmMBqJVd!QjZa9e?#!(^9eaV9wT_T{LrUFD6Eyz7oEUd+ zBK6ByFrEEChuK&kSueB21B*y@Ru}Pi7P~?Dm4j!TV(#ZQ>lL1tmJodoUsn)6s$pnG4lY`&1WuXz`6)XJpykpR+i zW19!|K;PiO58L$wtY!yZ>*WCdW9YxyZ`_e<FM(L2$~W}D|oe^uM8 z!Lh(k&~uy$V6q%;a0lmAf2=C?!LJkR?VN#M>8ZiAwHSCv9BT_PfwB_>y&;ho04?|yaMY$VkTT~otgdHmL^;i`Z57D{AUgn*(6 zQ-fn=B<~*H95fVk$=@J^y)DuYB%O_q65m7=0n0Pr8V#|mY&t$rwR+YN(gmRiDcL?M z=9y1|U>p(4!0Vv{#?yulm^6x_}2K z=7Jk?K>i74517y;YzN9QlSuF*nO?}lwUOZGHC4GYt81+{M#m?_v%+Ps_pygW3Xbt7 z@w!?GUOji`cz()A*Tlxg5fMN4$2_e`&rc~o<7G3^+B|`(mzw^lCTPbrd$nu7xC-S8 zQpVh#zZXNC6jUgU>+-oS!EE=|aiu~LN6xU}f2S^NT^9^nKZ4UVo4E?(u9oG2K2WXn2uw2r7vNCOaMRA5R2z?Qemhu(gsSkM@s9;Bn|CxqDvC3%p|~IUVZpv;IRp z6|vS5nfR*OeXVm5jl(D?ZM=(blq!ga7zX=TpM}cWVJf+`@tZw{PlT-1Dql>x-pk$f zXOvZd0AKo2P0J=hdk@2E-7NWPn6x zG?2kte`S(3)>^M$7$4i}36(upTlQKo`d&`3{XH2NYU6o#7T@bS;&Zi3tdIPl zAQ|uJ1Om@`42&N3^7s-Nu}#^w?fct*^zA?U{Sx3g;Ej zk7*)8WEGEt`g{uQh58jK)W3LPe1ePm7kZ(-W@ysE{%kVBCC7mOz!9HATn_H@JsSYs zvl`=xd`LVS!m;72$p-!d!vFrhGX?>T!T!E84grnBKEL}~Zh~nU|!XIg*i_Sny47b>v7ZaGz&PB=0`9c9_sdtC+$(Jr~kEIn)`f zV6S;1@2py@i+K{#JPDVrVV;Dd-8msH*@pjL5HE-YnIh1EnIdcHe10g&Y0dF@Op*M+ z-`PW+z-G3LU4wZe^EPGHMA>hS|0sv1%YJk0P!3I+-Z`8Wd@a|zLse0WcSEHj@sxEi zhwiE^dp13X1`4F~NbRGV#+PwZlt-cAg2M8GC7Mgo|7QDI&o}tK%f)xY>#Pz)9&+CI zvX=_uFtYnV#$gWD{|!zJ*0&g}OZa1o^v3!o=|<5O+*lzmeKn0IC{xh@#}H~YYYFW`(mXpFxBLLDC++4Lv%5%R3| z#5>4a)t5Q`h+#_xeS7ywGI1Pd6j>yTP-LC`Gszh-M~=asKgh(7qB?vOuj0VR1msv2 zM;1&@;z|xEH;R&kfKqdKqVk7%zE&-ff%r8!esdQIL)f$bdw#`eZWk#Y9hp#C(o0?n zV?sh?8eDm_V>e2PJ|BjxQ58c!^T$s07$MZYyBPT7=_tlGbPYakXaj+Dv0U~TBz%pw z3U&r#b?MibXQxx}N(#FEdd;_yk&;8#w0y>X&jya|JBLlvwQwXCp|*faEL4-h2GZ>2 zDmu5Ig83i|-$pj&WQ&_FBR*#N( zJ_=Y1RaD4W`H8uoW0VWTh@=8?75<})LteDtZ=Uzw20vH z`zpBA$Y{uL$ZhQCBcd%b)k$n)w3d{VZ z`{zCH9E06vTf7hb40R!BZ8qcO3v7$-xq8+KNBXwyDEAfF@)m zLj?GqaaFC=8H|tdAR!`I+x}ztr1bN}3j}tpwV^gXA~%H0>_=wi>RROBzWfh~MbdJI zC+UfjXU2!PDj>J4XAy<{2|QTPU-(e zfy$Gcu$;Pt+b=a$Y{xe|HTFkJ{$hQ=gJ{XFe#oTd~!6D4P zR~ycDzDIK8MC|B;nyrD#Q|C7wo|LX%&U#-Q@}hUmK2Dcx}@rd zxlQ-RiAx2ny#3T0-yCDB85>wns2oFfaTA#umtbqxLlSB4kj#^?DO|( zeB(b=n&!^holde?ChsDXa=Qi7xOHJ(%uIi4vkbE+vK#DLRv_nfkaZc%VuO8*EYO?v zbO)BG=zp)CHB4XP3r(BHN)j{0kF$klO;**xR7XSNzGfHP%)l zKZYV78(W4{I^8U$1=J|;7sfsJ3LgmIG03spZ+)wBMoZSr<6`{vM~BbNnmMp0c6AGE zb!%dvKZgBcrC1T0y}_#WOK0hk7D9Wmp54C1AIqB~EB!r0n~Pe3C_W6q$c{zf zs?J%Lj)@e^u{ySIZrL>bjRxq}R~i0E*35Hg=I*Q+Lu0(uRJ}5z*nx-YJae{h4&Fm& zqFDHbMAe(BS7!bz6p?krA1j!HSem#$6j@bc0ii%y*l1+f8#qNew2jQO29UWX=9wcE z1S5bGEmA$7?zax@Ew4lv%TrST-xG{^N`h6kZ=obsaPxbsYx@>9V>c5t%B1AYWrKjV z7K9DhzPYNa;p?I_{22%d|#dSQIXuWKWoJJ`i)INHh?S?QUpvB)tNl9h}=M-U^) z>#ht!k9xXCU;S2xzibseh%K>j$>d}k2#I-?fr}M>D<>3LOEm~6v6`wEXN{F?Gl>!8 zET)hZv^*ucYo(<2QB4VF97mQkN+WBX?F0zRmCg(@-i zQfaqTfT3*ywH{uTpScDY`ZuKCm+FhtD-l#Hn~7{EvbF>)W|I>wN4xJ2Dk&#FH9CC ziD7F8>#5($yVGCg^MyBncYiE==jVKE>Q1$%>T)_D8m-MzLju-^0jrZxX|v7CcGyY1 zR^TPP;<2zOcn@Bm&1g6U&B-<4$eK{qbF;3)w0O7G&iq)z{I~)OqNTB~sma;Ka|t73 zF;y031>k`7ji>W`dq3Hy)kI?+OU6QA3s~KWzXoESg=ob3V3OJs_oXuOp7^ne=S#E# zaT!<|_B#TH&N>Xkr)4Xx`v^nixW1m%LLFHnqr=b38WZ=Nr$s;C*YYlD$(pP&5zk2$ zjsRBP+<>*I3j8*Dtngeok2BBUj?v-svV8GB3XllF2=?l-Z{bWD3PwD4Ykv8wo@toD zBzw`q6>LV=kJ~h!_db-PJu-o-PiI?!-04~zwWJ+t+7r$k~18><}(1v zgjbboaVWAM+%#?gFK{ewtBgEj`kTVxg^|3Il52>U9Io0xzo|MkU&Ze*Pc49*e8;+k zjuu!m>);&DXwUTP``*}V7j1Gurh_?<_Kybkpt@W<&BSpk-KE3}>KjG}8g4=#O)ViQ zUg*qdv9Ek*x4q2s)j-b1Pz2Gi0~P!Z&F8%H;QiugH6k;(fL0Km?+||wQCr!8s*QeM zxFePgzsc=h#f(qUT(|rapkU#JBO~mb#A@gf(rduVyREw(;lN=IM1fgVoXH#zYQ!Ik z&8o~QiIl1!&XGex*0wO7GmOuSuh*7!)w0fq$~FpLQ0!pFyy|)kz(XG{6-A8f!W+t5?#x| zlNu&b7h3|v*ScMkGFEUq>w8Pvtbdt|n!;Nt%cg*D;V=3LkcZ5ieu|2j&eJ%rMv!=( zm-8`;L7WT>)6@0`WCX)|7F4P%mE{Unh*cd3SZ`TbaM2m@yd3}b*I<>+)FBP5S9xUn zc^s^r%@;Jh1@5~4S1mw7Aai1#Ga*VW)hk@U*$q+r)$;r`9xmFGLS}X@39KqCIoW=h z3?CtL@)-f`ulhmOj5AHAtQVD_iG2d5QY-JL{;FDH2Ad@(7XE3^ilcE6ezpOcnzr>D zcf-}zsZn)ODjnO7Go-d45i2=0UYrm!5rdp10(I0mzA)`mrfIljMu0yYP;m3RI72n>*$ZM`&sn9}>Niu{@mGspT~duNV1O&W9iNNM(tVGq zB%z_uE|PBptK*^eVLUNr)iP^ge08HD2qC#f2jqC8^d%e)3haNL&bpX&BrVy`56#Lt zv@uCTQ+6#Y0^ zJM_8GvaD?L-<;Z(=Ni_a3g!BmC1kkOi|XC#r#Js=e#zj5M)&o)V7r}fay5L{O}f;{ zak2Y)eou~SH|Z=V$2Z*96Vp{3=cXLtWMGR&UGlXI2U(^+IctO1pQ1bRr__AbJ^(K< zVgU{&OX4H?S3Kn_!Pwwn4A0}(MGVtLMHq{U_2H&>>5`suryQaz_&lgY8=en#_LKqh z2UAbt6Scsa9QS_uQFhi!hgL0b(U^W&%Q>k;OeIcuXEA;WZ`Dd)Sm)=AZm#HQ=nBG7NB@`$XV$O*`55#E)pFY;7-?ws-FZQ1`sy^fcOD4gmF3r)CHF zo|sbPqwVhR>tmb-lP8XJ+Y--_i3TwQJBB;?U$H(KYG(f?XZ9D_6HZBUp<0+%v@6-& zsi|YFwY6p}`fOxTwXbEaNm^%b!lNa+BiV3DbjO~C6N8bB24y?F1mcK(lf$$BJPsfK zaiJXCG2(+B2Hjk0A0PCf@NPXvrio7tmf^`v(syI0&ce*cVwg4pO(VLvBCz z1Y&5z@)!B79onSY@?f+v-wveP0t1QfN4I`B^n)0AqIk(3V!sD7uy*HcQ$w#5Nshas zsHXYVn+N)%Z+#w!T~U-c+Rt5E4F&woZ8*&Dd*ZEuQwDU7ED z8st#z`^hu$8rDZMWd9FmZvr1xbvFJ_G8r;t;RYoTL}Zkx(MXL(YvO>;g&Db1CW;j+ zwNkNQq^=ZZSQI63lA6hNDsQzvZEMxmE_U%%yGVd436Uhoj#XpP8nxCt4%UF0ghl56 zea@Xp0^0Ze{r-G3bMLulKhJsg^PEAqnq${Z!E-20P32?~9X>dWoE2Ng@b?ywv|=#-QIKIp32s$Y_(7QlNGs{F60(I&^srl~2N#A%Lb&T$FcMDb`(lW|`#s zl}Ef{xp5w*frcj_%ZYD-K6-KKG7z${TtNn2RQ0lm+G1hG4OqRyG4ngz3S z`nyBU-E7y;IqIHB=SH3K#&Y8q-B`%~P zLZa;}t1Uwa!2f6YkJvb_;!r-Q69Vw~L=H>#-T^1^B^K zctWaX*9z!hpsRz`%ja-TSLGJ#1W1%(2Ipq($x;}3c*n0XRKI7_?_Ko!kVFlHc-3@E z$1P>`0PhuB&y)_r_7k8f>GUk=^uOq8g$z)-h7W3>Tl(J_u%yREY+eul@3KDQEmhNP zc1s^?c6ES{q>sDk%!o=fq!7!kpjL0)osafU}D<*iwh=52(|f2thq6=wr~ z6zL<3kxyj7HT)N>Kj^^DvXpH%#4Zs#2$qS>b7c?Z`LX!Fm;VPM-N}d2^1s$T+R)lz zu=rC10rkm4xBO9s__gGvSN;q{cJzLcEA6+h+25AhZw(>!?Kb&Y48r+UhJ|1c`RK?#=X$AJpvQw!9F~}p+@$oma9P3>qSo*a<`r;r} zUim*(Igt9Y`l#3ArkdpMr3Nk2$JA>2n0#7XK1%0PE#5d+;s8QV7OS+y;FP({OPY>l z3~aJzq6d4Hud=_52yH(*ihCDm_zAQHG&;`e^hlq&Q^nsW1qyiw?=h#s zq=F~EFz&yLRgn=w_+PgE1wBjNEMBa+)(=^6@LKdx&+-{GG?RvGjN7=^(EQzMz=SeQ z6;Gj|^qB9ccAZPUFw|nJm1U2)9DkRdWiLp|$Ja5wGw6^#{x6Qt8ky;R*Cf^Z=MZP% zN?x^km0ZiPp0PhXqCUv9ZP=E~y?9f&5TT|yi-VD$T)ZiQ_PVXTvQ^d@x{)gWA%&P7 zcdB?XPsEjKWibkvoj0gPP$4NyQJKup@&AVC3G%2Ml)U$`ER@HB$Zim+?5llkS>gQV zoIDUulN_MzYs(I6wHWUax3X(F{2Oh{?rX~l7urcVDkVqISzE#txzc`chQ}CU?^hq) zg3@{g+sP?i&cC)Rd`26p0l{!ed=q6C|1$b69y9okX6;%uS_tir1wa=CFyp@ zQeBeTE2#sK-v#R}X(3oYAU|4EI%#9tbwKME$Il$B2|A$_$1V_-;mjJT1u~+E>|u+f z7KpT*!9~g}(CncFiYDALr)uJ|h88H-ULbS^gH8Nju8%)&KxU$shGl_ZMxZk+5ED1X zZbrukZ*=5UwLF5#j~TC8A8hu^?e$?TWLXB6$zGqfVe1o0wNjK3bt9!J?~C;&&lxw8n#6Ciq{GRYOW{g4m5}- zORAl6PF0SueEt;tElvq+8PdF9>dDg!#Ic7N50kvEeg{7onF z67p^h#=hmL;XoXborJyc$%*UvguD>yCiHkVgw3ZQL3s~V5W~PcK-36z1*;-X6Yw@1 zXYCt52oZ0wz?H2Ds4YLh!;b}_|3hG7uPq+!p~OFg*sT!4a|TCA(*k%iFeFJcUMeZ=|b;4KYB0~8CBzbKXP)qc(O!qDku%6up2EbEvq}27tT&Tr+4I(sv&ma z_+ucwi_kVN4OB8EMaSrLhi$rID~9lx-gI|PM82zIwyYAM8~+cPwYT;$k@Daf$@DEK z*%?ix!jq$^qv2D4VQCC49irxQrA*;FXmqyBHJk;TlANe6eCu6;H@&F4qdlKD>27mI zNki+(5z(F_u^DoaS>+z~z+<8{8AwHPqO(do(u_+DVVJI%-B87D$a-gRH+Y(}Iqic9 zF%&B(71IG2GgMk6f1owHlP3eMt^B8C2g}*qCGbB6KfHFm*#>l&hQ01FrOA9OS+>tW zYEyt<3v7U4&^;z6{B{rz6Cl_l5d0V(rA%#=z%IR_yKi*pB@SVpR$ITihAE59C^F17 ztpac{RPIf}WE*ng%3G`>mxjlhbzLMix||;(rMj)|h4LL$qU(Ug@TzCH!xIdVlABbv z!Z#CS8)?16wwKe0@~KbNkR2HlRe7>IW|U+lbG4%EPqfup$J-H5=izoG2t`HInomRP z-X5GsFw=fvgTXDBS3LM#S(70+0-*$6pCqF1Io5YkC8XiwTA;#L#hLUl3N&nq(I=#r zp9?FWcuhu%q1Y2$FNXoM?isH=pD#8LkJ2GqU%fH?Jvo{WhIy}#T-w?kBiiF;BfG#G z$(K}q>5EV7Fqg{Y&=-8IjU2;C+yJfL;mbyoJBlXp;!K4@M(m>G%sxkbcwC)#3he%c zhxRdJllgw(6TEi3+qB=~bj^l?` zMpP|19LVxN{xNo;I0!7rk@KLrv`hkU%@3OIUEdBgC+>&#RqjCs&rAI5ri@-$W_;#9 zhR-;Xy69upqh=FSTxPjdKSW_;9Ry=k0s6;x;+odvE&tQxzOmr{d2-+V4x*n7SWV2a z4Gxa@X^{TF87i1Z07aPZA-WbI)5M=UN_Y z3~4|b%{W0q5CiC(a>xc7($J6-K|5?gcpI7xSoL84ry+0a@)v{V5i|!WyX zS>q)V6Ct~etW(aq%x#n>L(WeU68Jzj-!i<(B@0Dv5LKBcN0~_cc$0)jiOyxS(f^70 zR{7sK!;L%F4(mM@5(ULmlwPGCul?mv<$8u8Q#;wk_zjmT;lQmavCmct2d0k4sO03*7tnCsD?2 z_M4vt`+NQ62a0ID&E$6X4#V5F{0?C(zln1&X8=@lHaI%(65!Pu8fZlT>=rqK zV<|T(DR9o|b}|%!Zpq#|Q*Tle0u(A(+@fYg9MBiZQj+JRgdAv56J9tt;rVb2)>oN8 z8?z=ZBun%P0r9h7I2K@;FTnCG!5p$W zk<(CCKp=1zbvYIfvO z@Rq_#Up1@CR~9veuyVw`OxivO}~}6faSJsqJvDGOSB%I{uw0>AE*&8ysg%GG*7$D zcLL(w6I#5PPDEfFVwbt<_6KShMLRQ&QRtMpXFn9996W;U5w@5G(w5S%$) zN0Xri??LyTIXT<$wdm9yM|ct1|DL|-xGQ{Ha12*P!cn>&knd(ekMd)vaBdf6<%OA@G=2`;)X7VKKt#{J=@1wli!15giVAq&Y z(y0a$gqcSA9fajY)VdfBYy~!;p(8@dpQFS&p>PmRogiY?CUGse#Ci<)joyV$bwSVF zIkMc9`15UptH`pJP8Jywr@=kuRVDqK1ePLs#IVR|u{mJ{m8{J8vrUfg^ViI08M#0Y_SX(f>Bc1uFSvFCm{fvxfYF z>0SOHzsO+%b4&8nwEUtZlP?G{n{@GtiR?|DLUg(={%^JO4NC1}aw3!P8x1sPA>c>; zE<_ZJB^>Nqg5?BNA(tl;C~5{_Rq+o)a9RQ9fMgJ;>Bo=N&OKaH*E>)A_va{J*9>rcys z==KUydy2>D@lZtpxJu28Rr_}v&kF&3mYssVjYt5xMB44Lo?EG4tFfLBQvAD8Q+#1b zYW;P6}~pTH+JEH9ui|0t|ig>p_@%pVix{`v{YNH@HKwTw(^c?Z1dI2PPCTr zJys&T!78}E%2aYXbhD=XrI52zUzbNq9D%UjV6IrgO3P2~s7IiI0((~|Sa{OO6(|)D`xMp`VETw3(K@i5hw!-w4;ATnN$fXp zyleNa!Tn|kLNB!*&mG*sYpB-V7l!PM&ER-yn2Qr$wd3wWD>9ffiFCZ%me}Urtp*LL=)mw)G|(elFdJKulxp^dKvov#@E z?_#>T!}lPK5TfG4afWx7pO9^Va*@zQh%PJDckI$~K3F5N7U@Pm$8Hro?xWL=`C%1APL z=WdBP(`xG()ul3Nonvd=#av@y1%_2p&9mu9UM@J}=S-Irgr4Y66oiE_}Xvc~yx+M^On zj{8`z%2zNQxGAkuy5XPUi}|rVBZ-`-Qp$!>CfX@u`BA=+NZ2Y1YM{1cbK3j!?B;BI zKdEs{+G|pIetwud;e7E46$=bJ{W1QZOaA}*e>TdJ+wP@l|IcOV*J1vj3(`qx|Iaz; z*J1vj3|+aXru{$9PrnZNe|pj>Y5z~$GKc&>2S>#sDR&R0V?;9^J(Lx>+dBPHg?@zo z;XFze@bfJYW%6YdoHeHFZBp3;Ke!VT!TCtn zPTs4F15_VzS$kk&MItM*$|z!0(v0=;C4$mPTppda8`O{r-)@~G?cYQc{>V416Q1I5 zcNb*KMknu4P`sOjOpm1r!`x*S{zS?ZznLX?bt@dkSU88HJ{f8&X=3J{dC^nmoOur!0fP64K^h#KzcT`S>sZ|#bKnWF_vx~yaJ%SUx ztqhrkmsDptME=axQ@b(Bc<4?sl-hhngvlUn+li|1gA^Y8wz6K(seHw+EOH@}d|p~& z-e%3?+u%zMm4wWRuU1Jzd&2~nREmskdW!HibmXuza?xO|uOq%9wr!cb(>y3LX&C;> z^%IIRgGvXYI+ogHxBR8TEpwy1yN2dQx%Z(u;(U&|Um(wAwbw}xJLLfMj$wF+X}v!2 z8#*lT8ZWHhBDfz^V`$$_~3QFLJR@)0etERJ@r|73An1m{K% z;_P=>Yr7n)^S9+F`MS({9e@^h3PP#69()-kE=uCoBDz`zeco4QtsVA#dFJ~V^*!y= z{D$@5usl}{<`Epv2Rw|uq{%epaLBj_TPsx9G=N^@+lcPVX`L_Z!~M zrJ6OHA{noSK+HY(%YoLy@-uCb*)U!{X&8}4OYWm3Z=cS4- zWb=9ay4r+4_ryB+kpfC*h9TM9M&O#y3+x+awO;|XV+HT=$&{Wtt_2q zn1>DX69Wm8n7-3Vihh8(DK!`W@K3cDLsjnRJ6Yk2X#4-r(>0RX=dW_(sX-Fgdm+3h zM_E4^tRKAvA5NeZw#EeO=X{V3tQ^c>-3)4C4ATGE0vTdZvtd*i%3`HIN^2`GwX-Ij zrhc-5L}Ixp{4L52B&qOeJh)|t28*n--%O?I7nJnlaLMd|!!R3(b%!Q|kBSxk=uJGi zWUkO4;KO>gSj^*pC@rD@hr@c|Fj(r|&493&hZ}oxL|ctJE>YAErtovW?Or;*u#`(F zU`xZu-YpL?m)7k#`Y8j35f4ZRZ6$FUVqcz}DqeR)miJepRWRVfeBd-#LhJsId1s?s zBy2_%?J5>g#5k4_FG5u5IF!nZ_)MY*phMsy5O9c+Ne0~Lmj1>X?V2-hpnfV-ZwzrU z>YT6<3)H2G$J39>E#^R~IF~1Bz(^H;dRT!ZO0!5o^l&Pi%gQyea)ud~!3z(c1#=aO zKUylYgMp?D0}a^yJ=V?qKYel3;A9Cm6e`Xt?dgS3}Ia z8uL5?>Ico0RW;@PHRd}Z^FzA)RIS$d5%V2f@I8b0k6ksf8T6^cdyy8cm*sZ08u9Bo z3(OeWkz(`FWhVhEX47`AM<1_tdsQ%k5ckDQd{!Y^_Uj;cdOG%L+J<&!GtKxTPh@_Yu9Et!AjRi2Xgn zytT6+=|qbl^JbX;@Lsg^YRr^G6~r3(wmAcZ>Jlwf!j)a| z`{=O|pSGOBs`mhh^_p}PkXd9FUnH%?o20i$M$T7b#ivV(w{5A8Y-@M8?mOq!9nv~lk}tAf#~rK#{D`8gWCLGL5LK=@ku zaYsfGjHWbIya&TF-3u5CJ_gADOwsjEpt?28&1gTBO9a|a!+A~{bf^@}=Fpo1jH0Hf zDS%Jn{i?Lq@Lj<{fdZ~HBE}WB%yF{0Az=P1X#T@6r(Li5H`SX8bD(Rg_h>k;F64FB zB^sG7xh6f;!POr1{oO5nR5D>pwCyvArQwHypHB4#W)tBGYGf7xUy@I;`|L$!XvEI( z%H;&PQl&4M$9)eGmpr@K+}Xeh1Hvzfxm$z%vrv*<8RWh$t-L;E;TzMEjIU| zEGCKt8PX99*Uy7|J?6C2UxkPL2*y{BZiDRau)1EMHYJio%IHj~V6NWJ*frA*q0aTk ze`c}8{NA^9GpTDc_vzk!kuE{>Rib0|iKT&=2i2$TH0mJ5ppN4B_VMr$t!qLWSK1g3 zoNTwg$LZd57tXGBMQL`~Y39yU@ptKlKmNGgfr+<}uA7JH1hJ`(L|XrsPW{Hh35B2DFcl>by%m&^JTQ2Y0LWNdD3YhyW1Ljt~_qFzM;T! zt2JVk{oZ$%{o9Pbn(wN`#5`WM5&vN66g9!N(4ssUW%JVIZ0Q>t)%*4mw%w35b11ur z4{|+_)G`h#hI%w#q_OPO?o3HovZ0b`n6jISPP_RmFca)ISK<_2&$IRS3v z!n!l*aJ+bv%vZedr~Fv=FgY}JE$>g>!TX&u#`r`v&+%!C$s+eXd~pELX;>R!dk~BY z@8rq4&2CH+L&z3AK07;A{2kJd5s5N%9oX~3Ae0=#({WTEmm}*G=l{-_+Lu z#Z`sOK4EmRJy`ONUh!iT&*HJ@J-TGEb+s&fb#5d(`7cSh-Y~UP@k6S7w^bz{W4S3* z1ci%L&3D>gc%Q4@Z{|JZ{UqWFd9CnYL&$M#t1^-2_^lXh69X%4dy+q4Nv=5{(_UD? zkF^#GMA95PDIiI|Bxwy4FRa3I=3fYnxOUzu=Nt?F!u6td2> z^C|e1*+h0wyqeG#q}Fp_fU%$N#g!?#+MN|S!&uN^)7lOrUQma^Bag20h(yKo-uSTs z)-zx_qn$<3!=nFvKmN7J0Dl+dfD}Ii$WLLX5(R%PE8t!hmeQ{HQl8G6H?ZzsU~= zF0oPGv-jZ;`AgGVZXbxd&X>Z@Eg-@!M67LyBgfB?3L}U-hg zmru0n*r@g)oUe);j55H9z&GU$W+WJ0^*Q@4hqECo?c2Y{4GdCE&H6Q7K!ci^xypKF z)iM!lKvZ_o$dok4^9dbe>yHx@2N_OTHxHHVOBM!W*L_ZSe`^t+C|!7j##6;d_kj_j z>Cua8#^9pJZ7ph?Ha=Pa(w1jJAFzP;M5yJ%rGht4FBa zrq=+|BK!#!doT&5ap}vPTeNP*G0~h=Vl3$GYrB^jdmbkoTZf`tM_~IeU@H6CeBnat zC+gd2j6V5pWl9dRjE~*r?rSTuFZmIxeDs~8C?#UEO7KJB8;5zLUD;tm_)v@H!dgFK=PXC77sm0TnZ`{m#)dtqsrkJ1tdGA*gwFTcASmH^?10$ z@vYBiIr?fc5V67vox!KxVBTaih z*BUpIQ+r-8CL4|Ayj6HPn*=Kr+%TM-UI*o~UTjUp1u3l&nu4851?0jB=&7jIAd~PE zhvNk?J(bM{>hf^>Be9=8M7y$hw5K=MdIF+>_q3_A+&J{^v`j$IZ_Xs*&^1LEtgEiZ zST)m~!R2abKcN=RL);s=UJ6`G0bxX@%1e!UIf@a67auSDaz9*lKTx=!+h{xNvd&fw zbc;$)^mrlX$^S^^avk?6e}SEAp5ZRNcj~QHuM0; zof97IH#>-@%7?u`CE8eQ9ad%%tR#;#9Nn5C!)45q*^VyrRXf#sdMM*#0tU7&bFR#I z=7JH?H>%hV`17VOsu7T`FsHb?#baT=Qbz3wRPL?2*b|7a%u8Iy^oOEv-$v%i~&!!ID ze7)J(0Ba)mc<3z-9}~xQ2~ZXe4|GKjUbT8<_-2kvX$?C_iYD?oH?bvrNipvTnJWJkA=1tGHk|(G070??kIZ9jqLBUdj3@3AVFJSm;?2UO; z7!ZHc=jmM1nVDMnpMg`@g)Ph-RNxist9622wZ?}9nMK>3Ls{#*)3nAql84F`x2m$R z^_1Oe{qP=zn(+;6XE%R*Lb8Uf@LQDyt&GZY$50kGSw`a(%)NaoOKv(#NM+F)i|rod zlC5ZXFC1ERd~Pt|}f&0c_>o_^d4J0qFjkO7RZ#c&A;0 znn;U7KEZS_JFZhcW!EdQt(INi+vh8ZMy~Gnl{o5H#!!6b=fvGvUW9_dnopo9L9oxN zF&Dr82?fnD2iRlhuUGQgE2N;=`9$gv_wZeOdYDg17eZ2URjM(Jd5V{q#F8BC< zL;eD&8@oaFHMm1ma)f>%4z;lBW!9~)GspEW$+vU`>GSl0H^tMNaODIl40g78Tn~;< zy6qNf*9>KDV5aQCVn1-xP!sQf{}v(-q>3l}Q{dC}=S~)an&ygr1j-FyV1Tebc#W?l z&o-iX>^g8k0N$#kLIXXSA)hc+$T2#euv56gR4UIN4mgU7uQ*7E!XC55kEly7x@=If z6490Vq|JExHQLH>T-&8M_jjt^xE>Zm4EfhcdokA|eC%}HPU1*R4V|tz- zW*6~Xoqk@NDn8>qD7vege75BO-;2Zqk}4iSIx{e7g3Q4FcUjJ9eK zT-&9oa8Bdi)gPq!;z6YtRVpYuzP^m^M`us@)UKy?zd1Q*TIy_IxF8r^p}LtZ!TnkTfq_{0O~i_r1b zagwUW+z)&$^qUqxbCn5Rwt#Gx>-c|;wQdX2MFEayayeBj@PznDoMRovjUmlI?t5Rp z?e$m9dqjL318dU9twfE#9%L+z*Z3Csu)RlmkECqkCusg#I6{N9=l>qMfhTpD#7&wk zS8&7&Lu3qc$djYrV#KYvrFCwNvtdi?ksL=-yy(et7Fk#VqAr~!rSa%Iie_oSF5J>2 zM3LgSC1}$_ZBmN!kagj6EdNlqFZ>VP*75as(rtBo6{~=F^LGZCJ-T^7LjC&W55cAJ ziM{&SKm%9FwWEGB%y}*P1_#qlgfE%9MZ|P$`Ym5X0p2rp?(!3Y+KVqu*IvBey{0S& znLtZAb@OH7cp4&hj_KmlLwV2gsqIh>EzCD@X3-k1q$8;p)AZRy|U z^lz9J$=^6xTBboFs%sA{W%0F!+v!|%K-U_oc#RIs&>CK4??nd!w#_3tFjH%os6Jg4 z4o3&(Y7MWcw`;@Wq60T*4Tb7$f!6Q`iY3ayph0s)Fxo+Q`Bq`t@n!>|pP_A};q~w5 zFFoPM;I=swa+Gh{J&@>gqWfWBa}xV_GR%o11+M@FKc7W)uac(sZ?0f?Y~nlgLnXs!2DG)84-g&(tc=07 z#%#9|$bqaigBVYJ*GY$yn%;cb0B?r8H3i5#uQgFcA4yvwX?h(SF}mF+A5bK7peuF? z^UG&HGw(=TrzZPG?S3bPq60VGvnM+6U9CZm+(ZX%x9N3s;0~?fVU@BtydXNTRBOl; zd^8Zz8aAus6e*OCJuf7uIyJ|V#m>s()GlPl6vY!4Pjh781$FWrW6sfckH4Avo37D4= zzll7B?8=qyAkk16j$3NYQ?)K}2F%vR)XLnAY8~@&@$c8Ym>aG*j0m?-V)ey;Cf^L@ zkn}QhgG*^@C(&~W)7KiFB*(E@gKWwE{UNh8KD{D3P<>Cfv!lsLG{EHFsDw3dlp0{& z{N?S~S(!&8(3sR3#*s=LBkQ~sT0@>RlG>W$V~4XMf$7~5DbnkX+!UE1P{LP7vO3*0 zsj5EpBuV$2QQtXFN-o%G9RWdsaG#a^l?%6K_9xv^RPwR)V8BNFRv0e!h4vzs4WShc zw4{oEyO-kNc0^7=_7yM=D{#f)v5ZGQyg82^aE`G4AJkD__>{_4!hZTAW2v_D zDWT&xsCurh1E$C*9X|=L2KoND`mPWE&Y@PWO_sF~!!x^j>r6yECJR83`SDlJDZNf> zyq2M<^*c{i%e^#LKyC`BoBK9rg^T2+TrC_E5=xFHH9M@bc#;;Xs*qnDaiZGA{_=%X zTK)l93L+JQni49-i2N!nws4L%m4bdItRpGNnvk%@nFkSas;*Y_ zyJk)F=Ut5Na}jCc!Z?W6%B(-hq&`~eVP8umS!xRAfg zBaaJ64|>#A;z5H+M#-V2gVV1}aPz5Mkk@k4L6(bCkfMvC>i6o|_G zO_3w(M;vCW>|>9i^5dkZ3WuvVZ?nFu3`a0Z{^rwge^oq_qW7}RkIi}sS<`Efcn}VZ zv7a4*VNm!|Hn-3R3Eilh^nmvSs=`#fV55-e_$p(UO1nd4I3&IDC%%)ZW`b^`Ng!e_ zl3q;QH<>u1)+IF&2hhf=TKv?)YvL@speL-;i^<{h_*))6jlWZfcvp9%LTi*GK-Az) z97VL1suG{s4_S$Q^1!U;Cf>D^vJ-FcAYED^f3A~1bLCGcV1Aexjl9oEJWEFFpU{Rh zTlnhURLWNsc_i@|@|)uCeZqgTCp^}T8_`?7m~X8N3q8D%7+I-yPTN~QUZRA{{qk*| z`nDp1Q)PR$_-A;Uv8gqcsoBqJb~oiysM*w>olX*8mR zF*;O`DAjK~5n557*T^~WUD!0n*pqnOQW2@I6VY};@&rlqSq78l7n#8yn;>ckF{Yvz zOZ*ww=UjY*rRT7E;v@O}Qrmj^{3IyzU5S4E1RaqmTycX~j0d^v%KF_4AOaBB3~K-n zhWPbk@m2lsjZ})!87e3N-N+!2cJUROJ>*j%j&65V+5SRuqLJ&cB4=37QjbnXsp$!7 z@>hY|!<%Fked$$9{+UoJd$lXtqpc$e!szW;u30N7w&67Tmk>YiI{Uf-I&0r@6274F zqv$15eA+{s<%TEc$6WWWJ-%6-pH33HQMnEgU9cUgD-`!-8P4t2I_8KHI1@y2J94KO z@oTd1u$j<2J*!E9A5m!O(=hnUBeX}{_1_p9s_s{pa%c~=8P2~OPC{`V4n~iFFSiEc zW2Oc*|KF@q2xC^$Qu0mHnksIICa{0+Z(8F#jHt;{9Hf5(ihDTE|l zxN1Vnq{ifxdcW0n$YpM7vnDxrIj+jSWzVC2=O!}bk>Mu7E~yOJgBhH+?CB$e-!UVn z&-KwJr26ofy6TFEX2h?|vNd$pR`B`Yk_}BXDo_L1_`>m~g|92KBKrt|Go$k`UB!>4 z1x%=&VRBzWH%4&X-2Z~;R0Wgbc{K-MWWs+9WD4AzXtm-=5G%9(LX{lhY?28BS%u14PNZJxpw{qLsQ$1{CjP*C-RkTqkrA?CQk~|!*&VqR>u;oTv%SCjq%C#t z^whPjXu2W`Z>VhRK{1a|VNw6y^ryv5ZhzAXr_`R9EtR)WRQ}Zk8%KoGwffDP+4=^V zNn-;$oqw8xn-Kg>lVJbNwoEJBxsop3yL!SN+Kj&26aDZFDvC_POx@lRDKW~%5v#gJ{XLj@3AU9vtDw_>K`Wo8L zif!cFda1Qha(`RM-E%6p1S-NOaENJ1?gBM0c7#vzz7-jZmj~XRQ;Y>$1sys&YddqY zDv+&7%j`QHw3y>q?GelA*DnUD@d|^E31ze1eL9t5Q?eFGZiM7c9K$()6??g|t}f5A zPLup9#yqQ)rxeXOK6a7qWi(r~oG7=$qAOp8dJ@LXj^}LCoajF0 z-}TEM4H6u(eF?!al$~4%&V{$rA8>7vbp=ik5F9@!(cDacB6^(6P@5t}Z7PPSjhu13 zKqxzl=XZ86vlUYmVc%(80saDgDe7{%P?uJafSu7MEr@<;s^W22zl9$bf-+wSO2Myr ziN3VLrY55AR*G9FX&rSiu&oab4$P*c13;Z_CKTQuPD!^~*WD%q>w}Um+seR7tXp<5 zu=Yfo)C5~$iJ0sMY*O14xfHMw+8RF@Pl!WdcHHZ7TcPlacoT@Qz6?vQ8rTR&@*c+T zM}_3=(H?D!4jftK^=`iVqJ}Nuf()14-vr%A)7HUSAgql3bpQdH>dCTx4+i)$61;gh z2~KA(!^1*k^IMd}l_tS||D__qGCgvfWgf9UICr2&58fEQnZJSXLjKl@J_6oD#iy|= z*}=3Y<=YM6QvT`^{cU)TGTs)c=2k%7k{AD{uX!j6~g^l1VD1 zI}erC@qoE#6^?=HiR6b6)1cCCeGLb3Mc3B9J925BHBx;#oScdgJu5s`lJl0PUGY8wM?~K{ zn)HZ)9W=(b{G})IQWVa!FEZY$a(u3m#_;`L1xpLpdFZG0oce+U2>KT3M6H|JYZ<$d z`H}>0SLUMlqAvEjJ4+UFaSQu>@0#>}5A>+mSNaRBDV$U4CNZt%tGbx0x~)CzbhBo@ zy=CA)SyN(1`$YLrp%%7E`C5<~S%I#1M)ZX`dX^m-jUtHektd=(??t%0Pfi%y&Ub9xz>10tDC#Q}*;&7DVr$&lV&g)uZFq9fk` zthxNfdd^?awl!H06EzyvI|@@qa-m1R=23NfQSv0QJ@cBW%Q}$xM)fs4f+zp^1l(QO zpY7|F>R*xxv+d}_Z%5cFCPB__?&93$C_=$RHx&`cV+r>Za5PhV3Qd2jTWqyye*Ku( zZ!Cb~F-_OEA4pGrL#dC=#RcXxo00=4_Mu)PAmYjAv|d{*>Iqy}Bk6?ABrws1(P=;Y z6=IdvAm)Pl)DdP~YY?g3h)?;ir!i;!bqt&m9iD@w0&x>noi&lNh%Cr}W5|d@;7=rD zOAar!u?v6njM(X4O%>nV!H|iG@B!_dO%3ldWQhW`-Fg#121^$Yow|~Z;jy|f(80ZL zw;m^h#HNW3OkDZhi(uqovPI<*nISD&nH!&sjmLiWDvGqr2O5#_vd3<-rOSQ)*<_u4? zhqb?peCs|He!uwhmjr6?MQ9Dq!7O2d(x08t`iHInT8m4{kBzctm z1Nv;;a)=<+$B-A9D^Q~A9hdBolcXG|(PI_cbh|1;e^!+i+2IPAE$f$fyP#nI>~h%) zwgu0c{Ucdbk>OfxtlIm)0lF771WBGDHm0v%r zBpc#Bv~2M06~a#|??s!RMuT|1I`Z2;y+jo?|1Jv9m#q(;Q^$Q%1k;QzAWpA3ous0G zsI{-$BKI)0$#Dw>V`ky6e;_wDrNV`ruOU5J_z(#Sx)Wz2*`)Ds#swHX3F=?hd7u*` zR{sQ(9lfE*(W#%zbT~Te#pWPS9ra;;W^~l|%MS%+Qz->RxL;SuAL}X(`m8a`sHF6! z(utSQ;JO0&e1ZBL+tA932mqrXx3|J_8L_BJGEMohvhs0Xv`b`D_87Ly_BB+VBdOx< zjgW}K^>OephkXxF*rpQ^w4zxmEQGcDWvM`jN4U}~e1NQIYE#8KD9KhLRiZ)k!f&RE z|0rn^3xXKRxmFjrMh>lW-bU4nAUb$N#P*4?z9+D#>K5PYBI{JReQ}3U8xj|Ht>G*t zN)bHOVYQ)yRpR{avKCQ4uEY{ph_`F)x4HIP$bRG4qkOx>ep_t6RoHJU?6=d@n_0)S z*$JcVgeN2+?z(;iQOmv!)GsnkYUBPjjTh+C|ZDXXLmky7;J-qc8(*5j_b?w2_d zd`!U+Rx1V9P-q2%v)ANyyLe_5#X7UodSfJYd8a*w6bQE#cU>q_lXoCIis&;DB2MnK zz6D>MUe$BdL~XSeQnyU2+5%v2dtR9)v+#Y>24EtV?u~Gcp;#^TPEwh1!L0=^(jXGj zLr1B@MuF+_Rt(|G`s)s*BAX98`#rLxijx$Gx#ChUWXc#8HRNgNSsF&pGYfA~Z2%*` zdqGj(Q_wrn&NjrRRPhf;OT&o0lXEST4+zTXF4*vS++9~j{F`j!#EY=i(r4720Nvyt zi|%o+5x=`gkIx#RYiry6v3Uid*u0$DPkxV=|AA%(TmE@-&LlB$W3AW``NW9F#S>(` z?8oMuYIU=Nk$RaAHaa=hMQYIJ-;N=8wGn@6g&hE(&Lur@ecVVB$_;5TsF_oXW-v#{ z@a$CaON?}bG$WXFD!<|`2T$6R1u;*xdE1wKh8O%dkSP~?BvRBjl4ohpUy~(q=ltGH z%g5^F*sxo_77yhtmg6sf^jPOVA}iII-JFZfHGNT!Hn6=>Nx0&nxbjf)|; z>ZCWQP2v3nObhvaMCQ#gzfnLM)FB`@zuG*ra1ijz?Uh?d@>rX``z6^M7c-1wOW-R^ zOX)&!3Soi7(5P}6KASgzZk4zsjZQ&v5kaIxv2@n`+|IJ;?%$1>={Gq80*!99IWc z4JP`PC7oD%)%w5!&4YLe3nU8&3seI8<3VQzEA$?^G6rYgyk~t=9dH@QL;-&d#1}r% zh_%TyUje1vLN&xwwz4}u3qJsblodwJY<+w0`h*T)`D1&$ z`3q>>=~JF!QYE~{>7A}qc;*e(sR~INWf$tIt5kQ=s=Q<%die9m37xJ_f0M~Mf}F{} zMGqf|a8nBWL#L}d{mt~{BsbWV9AlPL_#4Bd%w@)h4_?H_K-=z3?-l_*^MDluBS0bs zMD7qhTNaogF&211gouDe@D?zWL36YISLt?jmF>=@JGTX$`-CNl9&{~9)TgY^MMiOw zr#_WX&;4ZA)j(j)Zf>~!L0m3aBd5}ZRYi?#b9luq~L#J*kNuU=T{ z(Y}Ab%Hc0PgNWc~gr`)^%?g)sYoGSKk>x$OyttfG9CI$3NQdh3a)Qpk1%>n3G^cLosGd0U*93ZNYynS;Yod6+ zv0sJ;Ht?VT{hZsF*okAniov#bb6%ig#}#q^*+t@wSXB}}uj-pw;d8X-2@bDkd3P-z z4@x+HBH{XV=ihX9mZa7=w|RFhWA59stHwum264r$alRQW-xt}yyw!g!LzA9zR_Nm# zoa;U=4CkZxIcbAEv<>#qHrPYkAVUk4zs7Xa*`itTRcC*?UWP?TdM$l}Pq6%Nc!L2N zOJHzCn=0};yZGV%lAXgYCOeeFXG_v@)N9E0n~BFg-($xyHV@(vkh1FfrD(5J1h5(A zW3uZYt}pWDH+#G@a%_=!od+@68{b`VwnHO-ltu9i^?+ZVPM9Kc2t6- zx{-izHx)@(IZ2s6kj${dH#KCz&yD0#JUc1q-3CwbD`BK#stdg-XW#dQPt3-3pPxS0 zf*5R*B=s?zxzb8H2cS&JiVzQtD;q9ct=cR^(ny> zcaOzgtGQvk&`inUYa>Tz5|zH|rTb(^ZW&Tx3(xkD_OOMF*u>wck4_e@z7u6*x%e}m z!8}|am5guNvG{&XUMv2Wj9W$0RmtRitc&6ng^=wJ4}XurexVAUr@}ug{yaMEM{V>7 z5tIo}StEh_PS}$pF*SJ2{_J%_Kf0N-D z)w6rW=u#xH+^LR0RVxORTL72v4kopFRmt=Ye9#*}RESxZr?txeB?xoZ0{&8f{?w>!aNjiw$ zBqI+F#(~JVjS%3qHM|louu_B-Z(H~_qO~4u>uH;E# zeCL9UtZ%T_sK(Cl+jd?u{K%qBs^vi*o*@nXvtuU7jRbH3i$NS4?qn8)XD0X(VUV7M zg*QJu6`qOz%lO|TQQgrJ$FFJ)#%Fb*PqQ3Q3bXgAobYJH!t%!tZw-b{e#KUL!Sl?v z{$1;@VKhczEYg!mM!CE9r)Q$gL`7XZiNn6<9wp6dAEAisWIw(3ML~ z8OWpd74^}V7Gs^Ub*^j+6#`6oM$G5Xp&UKLD?%=8Sppm9k6)jq*B^EOHp}6Zlx5w= z3$$!yLOQ}x@A%a{ZAaZ)fV{&x989z4?5z`gO_3^J)7{k_fr~L?d@U=P&s$YTpc?-U zc4|!z=(;Kt4^)}@7$&WP@KVw=kD}@J*!=y-`NHW$##9BAyTzab1sa}Nz_0?S0IsaYed*t z6T74aeZ+X{#b+|;+!0f?4d$rFNRolK{E8oIH@?QfopV3%w)BeTT~kcHlnog5*4fsqmR zH`>*(mQzxq&^OfBPo>%eGkD@-q)a>q!*2Zrv05do>bxt$g>~M!k^%$fNS>j;fDQ_V zj0%b(C6YUGg5+|M3lE0o1za`Qo?Tw|H=+sO{Sd4DGKnXnjO)e?64bR4j;OF zBmlyRk|WDXt+D?t>vS5)l98~MJ5$L~zUGe7?7r>^ss6Wh=MlBA!I;#P9nS85`wQSB zG5a#B?@PP+41>F2(X^KO5V3|w)3W2iVO$EROB||Q-}o7kM3FCmuLwaW3miWP+iDK&#A+V!a~{!%)%?bYUHxz< ze)Ze6v3U=ghxuaq%}-+U?(>_6ae+49Gq=_N3gavXX8p8}=lvT*NPOi1xrqpd+o}5DV)!w+Ow5Tsm|);W91r@D5#7 zDQ5bi@plxm^~C{mKmEFoO>|yzB-IAW-=XHZLlxlz$w_sGs#i~nrp7PT>OQQ{od@-% z6Kb5h$zr!puDjo?J5(M%tM1U0aB1D48QKrNMx%9y0{0ZueYjA+c(-<6H3>>;NX!IE zYRcQzp(S)AF6PDV!Lt?gA?X=xtMKeygH0u!0cX0gi+A1qX3z{U=NX5=i;E)nD&wSb zzKl=bIn}-VL}fFuE2gc)E9~Silqy<>5S|`?;yH3K5Uo*^qjo_q&`bP;WU3sTB{2?AD$3#I&r6|#tRhem4my+KZUR*uj#Frh~iBeaG` zWyFYlOXbgW1r2|er0797|DWO*I(hs=MnGA#!oLDEY1QBK--tIhdR%aC2e2;Cb!EP4Td?tN!ThF%HM- zLc3G?#jo7`kL1`FuOuz0kyU%(w^TFqabM!ccC~h;P|$}%F%Wd0)^H-kKbk68R?-~k zo9bFMLeFk%3iQ>K@7`EK&w)$!%ouI$D@es`=dFnY2%)K+q?1LjIw|}KG-V@1>un5z z3vQMPHt){v|A+4U6i?NN(;2y`dft5zXL;lfyU*GKCNF#4Y6$n5D2fGM*UPuX zYIbXDr{`&FYf$XXdxrBHUA6k;O|f}vYyFj5czn4wFnOmxo|9E8c&=9WzN|%8(GE|W zwCEB+I2%5vd$j>B#k%i1^1g24rRu$Hc>#5{GmONyr35GFJ+%SnOZ@?axYX*%iPiJk zBcrP4ZH$a$tXmS*DpPA@tjaXqtul?QzBVV4Q+-nS&$_yC8uZHKKNE=Gd}KyEr_>+2 z`o7SDE>8I0GeZVbimbnBBpM}s>8imCa{y?*VPE;DO-`~o-e9bLM2|58pr zy%i(EBO#b;{aN2d)j97z4hUrjqaSAn%HKlsdmkTHZwQpXD(Z=V^L?6F9rv48ufFpnp>^bM z^5^enHlK+F{zU)RO2O5g>hI0+edR*B-fAAM?eEss?xK}V{)XG038Ogq+^%?&zB?gR z_Ds@uC)?hc;5j5r8{)iekt#Frm)N}Lcsh;J>tgf% zLa~lWKA>^;I$5+NngQoaw6PBK;e06;_=`*!s#$q{jx-x~BM-C)B-i?h*{M;JX+t*S zO_uTcT&+JpVA6T%?M5^3C+ZJui3Qs1Y{@aWalbL471-K1xzpvSORbItI@u|WAE0$H z1D)F1t2df8ZRXvZiA0~g5btPvD@!m6j!Bza+1;uG8vrlgf_xr+yXYisJ-$P+RThh&eq4m=BvX*)t(=MN^yrA*2hrH1IrdUIIg&MWRr@@4n= zb{+NA9nB7p;4kr|xpS<4*Hc;HpK#fZM%0}`qV8-}QFpFC7pY^bRfcd#F8CJn2_2NRubA#+t4x1{}UBeg2(g^l+H0M{ga#<>VM0^j?K(^}2m>zsQ z#}P3=%mCv;O`*~obY&6dsOEe)jrb!3F7X)!jEN>4wH{&yrrTyS( z>Q`P7c2U%ERv5JdYA3DXkMa#E;bgSDGBO+)5f^>dRhbO`B^i(@39ZcE3J1dAb>dMp zU-@C!1gUb5nC*pK5lfPAs;S~^MvTr-Ciilwf^xWap*WV=J6#OmMA{O&%3L)7nMC}U zQ^nUlX;0#56e3<^`R7gmM>NiJwfkM9;o2AiD)2fob7wOL4pe}l#6bmF=l`77?!-P` zRBDn3X1JY2mx)k-4$l-3|zxp>gYa@*T`!44z-P@ybsfbbUa!m8if6C`=S8nW_cf!kl+ zkt)9JahaEJzBA0JUhmP>ElDC{&3{ZFT3(Ccf$RZ;2XyaI?OrDnqM(SAl}aE0&t4Zj z?262?Zh!#ULFKGvJjO~AEeFY6JX%$k+#+yifP+1%3*0`b-0qTmm0|ozh^?Fe-kba- zbYTuPBvw#91IJ5$CxggoQV&5gwx+M`9Z3$3R>8D*Qmi(tjTu6b{wyJD2a?S!75C5=lw?q z=l->yE8;D>+_|Fi93IDOPN|Ahmhp~NiVCGOoNFv-)6MSAfLxH0ip~2cK|Roy{WsMT zE2+wA9IQXF8MvxUp+ac-B~M=0`lm4NMIYfAyH$w0edC3>geM5LrCiZ}an0ZT2PF)M zaZBIaX8(Ear%-d-p?AKafyYm+<%$nB}WdJNo6_ z{^ncHtHO7ae1Ytb^j&b}FK+iY-8LU_bxdjt@deuzzws2##Ub-Ra(?>#k=;q%OU#1l z-N4q#oC%Pt;NXNNSik?N%$)LHYE_S-S4;FjOU)WX-PW9C{pk#mvI;Bktq+;qv&;rH zByQuY@MT`OL{)DQC0(Dt!fn{QvN=>SQok6l@gI;b!}&hHdef*(8J)ucy7T{I@6F?* ztj>o2NhTpf7A7pg2t)=5ibiM@Z4(A+ZZab?Fau!~t5h%~g0hv&2q;T%g3WL{mABf~ zwmz*-+o!dQt$kYAS|tfc!XgB40c~qso_fb|L9GNtncw$1_dSz<*thTd&+~kKzaM-u z=iFysuXCO2T+7S;*qk(PY<`!g(No$Rtq-BwlL;uGoB~4A*<``S>|`)`5Q!wqX~|Nq z)ngZPOfr%@<0MZJc`ohFV`ex*R>?CiIW2)$@Gr1c01vKFG*$R$fG4sa8yRC?_3Xc( z45e``eiFIco!|ThUY_wr{_4|&$NoB%o>od;=ybia;d&xzO}ew;0Zsts3t{xHW{V2( zQb$HSvwmTzAmZ2KACzPj{W6;^t zd5{n;-UcFBXo#)5#2@pfiE+wa++5S+>roKf3Fcy>XR1lkGw!EzrE4boK_ONjvs53& zeo6TI(%W!t`MSS^7SONYFF#H6?36DwsD9nt>=1%%Ba$U=_RekeT+{73O%Q z3!TktQ{DIIZ+J`oUcYWWFRn)zSr8j%LmM85uBYtvsM5r&>F?>h;;D%{BcEh!xP;cN z>_>t`i*u`eV%eWqm`JGSnsPC%^tsS+Qc}tBcz?#H>t$<%s*f7;MzE^9 zZ*pm@(n|hz1nHRrLDXe%0FFJX4!=Nji6FAmnInbBh6~_ZLT?K^px4uAY3_a&j(fL0 zuLF$hfBoXq#AItAE1chH_1fQzt}XR-!hFD5+$ozglvk^j5B#SKa=u!SHQfu68>9^^ zg*7>bKyIjeLix2yY=qnWv+14kG{Cx?4`;`XE>gGZU2Xa7MU=F(;YWf=tB zABP->!x~qGnclPKFys3dj=7r?1$BfUopkx%6)%w5)~S6)hSN*K87OUh ziuF-IROi(M^1w96c#AxoF-_fBfBysXkc{k^+l>Jr>Y(n}@bmJ5+Bw~6gJz$lTn7aAF=5;-5^H-RC%aEXaJbWJ?v zaalS*L8pijy~f}U1%~iCSm@YWc%y|T>VP#|K^+FEcnbb?cd|#nZw`vW9F#nupby;^ zMpEx@CKH;nAP@V?Cs;gFyw`Jh8pi0+&6Jpwn)Xv9wT%}QKmB|#yI}~N)8<8EPl)w_ z5qUAoeR?@)8Siw@`rK#ha*azR|8VK)Gs*_o1+UWP99>`|N@-cmH~t1Ek!2f7CO{@) z6Rvwg!DC=%>(H?3g=13o{c-P$> zIXub`=4Plde#Kc^U~Hsv2J~yGHkbo`l(HCt{)U!{P`r{n#YxXZ+{&^Wm3ovu*h8Np zx+l6$_fq;+*=o9!sKW>fc6~EU@$lFmeR!`+Z$U z{bP^#M;t@SU#~h%zUd98Lf9jGJ0E{J{x4bnVfZgGgR>h>g?Df#NrRNY?>Y7Rnfm=y z{hn37pQzt6>i6`8{28bs;9Uv>#;CA>$W&-}U{**jitAuXLTvI^bV=658+$SI15>Kr zBI4mFfI7kTHh`u2T%(WVQcIyti)rVS*S&ky@5k;7>MaVt*qc5&2>)qp%Bx+k(r?I1 ztzD6)Ma0yAP~9AwPXI>NS1?i$mukHk`H>D4b~1 zHm7Nu9a1ExmrkRM}{+LUR(lp|T%wsV}l- zlr7ZH_*9;Vlm!WRAMR2~&^&s;D61uWcl;4kGVkYbSjz1u#jF%jMx~N(=xPsF2s8GF ziYF6Rfw2k0yGFL+E9gmhXp3wm0XRkjuqP#2%?rP!`~c7j*2QtHm9KV$hl-A6=y_K| z4Nzj(w+qE7DTW=N1>T__0a~RMWrRk8E^N+0w6$OJ>!^Wl&S`glC>*HwCgN}iCBkq4 zoQ?N#e}Hzivm|ZU7j7p16S?SAs5wEdr?Ze@FnLQ5z{gy+aIECX z^})e%3lH%$_BEb*uzNZF2k=I*g~F2}3f#b^Ag~D2H7gfo1byS}{t^}jEM^&LtRn1< zVuf^n_+5#25^vlgrKx55B!lvlSvU3(0f$A#okT`lHe+IsDz8;l#;dwoxTYq;uOtc@ zw#Wg8ny*B`Yg`vN!e)@($m0iFu~$5vA07r7wdmCD^iZL338Ch}XT0+*@e1Y~KdM;E z=)?tZIx^wIA1EB9=$p%AIeh?+6jOYeue|7f0z$VLXJ;vpHV5T^3ndBQY_b4kl%yOo z?%}2;B4DOfjcbiN<=fqQcOfD5;|Wy?V$KNE#@ogGMa)x{rucm>vUhY# z?*BqQNM(cwK+EVQsZwxPha##q(?AL>C@LQLXRFTayC4bjtozh z%$~F1m-zLW1LX4dBfK7z_Cxr0HvTU@U`fw$KKM<1n03G?lTgd?U4p(!<-?ZS1B*?c z+xg&a;&T%;M|lVlvU%j*TxhqI_%M}O_$b%?>b7T;${f96^N_eO|Pe?x1={+)u!n!TKWO4(cg>AS!8xxB!lB(8G4f;dz?Nc z<02VyE|wve40+@9oQtII(<8mU*KClJGt?Og_x;t0=xgKWM%d~94J)32GUFX9V1^ms zGIFMyDM};&{>zPL>i=Q4t%n&89=OA<9M8bdg1ZwOGKGb&-5}WvXL}3s2BhtifwWlfNdT+%hr6~?alv)|fImYDpk7oKQK@OcJ zO8X1~NxfTHH#=a=C3n4hLTp7^XpFD=J#|v~I9acgtXQfiPo28TQoBA5h23(B3Ga*eayF0%=0EbyF}hFOkEXXDfPnP8UsLq z%RTSA6k+^zp(-va#dX@)9~ad*l(gFsKpW0{baP`~PK(sY#r<^-X00`i+;snFC@TR;3=e;~VSl&?><-PUl~7QJQw+CQ zp1;wLdWwGNCy#W-`zAn}u~fG=>sI<8O$NrsWqE|A!S3mR-*6KAhLsG+SFpih44`w8 zVK6=HqZHPt&PzsX9O5}dF(A7oOpO6V%bR67%z7YZs(LyH5GGy8#H2wnDdCV%cbL?i zgGu#x*|6vVN~eG@akKOX3dX?FUyhI{l9q)lA-5=f4`cUn;_uDO7RB6&fd>Q3reKVdGTOL`SdN1sgd4aUXCt@*nLg% zh3#OZI99%s{C2n1Wf0E+DmPPS!whl;bWJX&&IT_ZexY>c1)_cj;-sG{(_93lg_V8Y z%T+zUeq2h9{z06`nhb|?(vIQsdV>C*jG1}qd_SZwpqfi+E~ubB^5?Fw)nt}<$okhZ`~=4aC%yzsIqf}7$^jr3GqeMxO6_xoiBw%o-Z@KT?|mW+t85H*6C8ob{|xXHwaS58ZoU_ zz(n;2WOn3SDYf}_UHg+)M}NPBF+~wzuCI%FG9M+HdneGLG*K`O?lS>Wc;Bg)+tzXa zSnl){1SkCm376Dm$$&o)Ao||Q0Mc)ein@)T~Y z#~X3=u-i8l52xXQRWO+BIw$FH06;oH(pB`VB zz_QZ>eV#P;iXP1!e39mgCV|`4rV;rLQ>TBG2e@67E?n+-ZawmE1_`yhf7{L&Rg;SnqrOXSnCsds61~KnmSzNjPgYeao+tM z9l^1$=YsS(r5&&)>U%r4(j7wni;yj#tg*~hR739KNTR|i8Xm9{-Zfbt!odTn;{*CG zwUol3b<(FymSbtq8QDkpsY)b+H~m^h=UxV9yxHXkq+k^=%om%I9GpS4Rt_jnY*Cs= z4z9R8QE3g**EqsO9A}}VPZV5nuURy}Kz$G8JI>%7Qi*QZORc`>SjZ30Ap1C_gobYa zsXk_>@e_TFuPY8l$ux4^*<)U7I`r1&j!cieLrz*(T+V0En?us^_2lmy%C_^k|L)u* z??~8Sx3ht`k=iP zn0$(s?ycyZ9hslYwrHBGN{GMM{8pw2*CJFaw?3|3VnGq>iM)g~?e#buX}p8n@|nz& z({m0M4N0uzG>mdE0hpl#GR>DYvq)6mtPrZK$$qjsGIH_#OdRXGc}Eajv9{b1vWxbx zYTtODy=`pM#_}pJ=Th#@94^qc<CY;lUCtvA0V|BOx-JPQ9WS)z4k+kq(oLDI2sKhFLUz7fTdcFKURvg^NTL#H0>i z*GGPLQ=QWYLQhW_7M!0fF6#)dWW~^B1ve zQ+>(nEuYc6Y}3gxom?E%S3U2{9mFR_?kBT(Mw;)VJ>N!4^%KgZ+WfJn^dphCVE}nn z_T1a)q1)vrC_i%}Z`(sNBX4Jf#zfxk#VNBtbiFZpwTzE?Ww;E87>8yza--Cz=iP(T zDJl*KT5kre!ilftyVm@^O}>{HZQGK=XQD`;`xKBw#RAot_9hoO%7f?a{w0!L84x;XBlHbXAHdfsa|3evLd=O+qwu95@X@FTgW7^**| zsUoM9t;K?Nrlr}cjMl~E9$S9JYJWVxOrSUfLW;)QdE|p7#%)rsKzq-#?|4Tou!@ELwISOMRDv#O_zadHQ#yF8#2Ucp;vt zAHZ?Hih>`S+?ytw77YVY)n50j&P_sT@xK^&ecGGmp6ao!b1n9}niJN!lG ziVJ<<#u zk-Qwto+5E4{qAS$W-DEBK6i`HIk6pW%dkSN>?>(rs23&xfJJzayaW4Ub6h_6i!1#S zw}UtVBjZ72cncZAZs+;<-mvQ75}E?1L!#g=^-VmQsS3VsMovn!1iB+N`}V?+fN#NtsF&OB!Vyti@dXPGN?8HmWKJ)c{fQ%K-J41}0nBm4f-AV5P zdMV6}?)9KZ+y;hZuJJ_XpSj&ZKQdL!{S*+Vw92t6^02(@uvE##`}2X+bR}fkVvax7 zKC0)$(6U%(6h;|S2OzLK0zR5&oLZS|ZhRs`GRB>E-3EpPW8s)IEAZjx)az;fm>F?C z!wDYgsDR$SEtTDPe3iN?nP-K}OMux%zB*9s=xN~&%DbsC8RM)^)$_W~k=N=q;3YvO z{EoEfy5k6igGQ`7>1}u}MXXL+JEr#+j&WP;eQU^@xbdlXMW$|TjMli~cX zy|#)hNHyi&;~~2@`!oHJsV{Ro1vhCU_MyNDdROQct|TInSY`~N>Cv)CPQv)`8{Opo z*Y8&3epq|kWb`)fsmDoyAf)6y`pNjEhzdJG4yv?K<-3|N>r@~*s-HyFt0x-XqdhHS zAL+~wjh3Gg@^h*DI3s5&!VO;cN&O|~!!6iH(vKisiuXum$ z&&1g<%=BlHLioY1!H#--(O|o_>11f&=FDFqfN-jPxOdUx^)YRu)6+&2J*x-}bnfgN zgb|td@+12*XbR!dE2TQOmzHCtgS<$(!SQVJ3C>|j-^bQU%~?!;@0OIbUkU~WS{<%OPzbe(;yQ1M_sGKsAh0=*rLoZsObSP2q;~s^EVK2<#N;Grr zg^M1nb+6cLK8Ien<+QQQNG#_`eJ4M9S?3QJUj^Z=TA}d%DP}Rb|E!ovsu=VGZ>0=+ z-;pQ?5yT1gOQV_~>mmM8&HZc`Isd~I@!pZs_HYJX2ev9Y^c*8_lANl+KjER*+@%&v zB*4>~eOg*AIJc*9tpoZvWU-zb+3HhSy|%fv*w^TN-nr>M#?#w?oui+z)U<|=Lm?e; zw`YX~^*{p?={+d3da3dHGL%e~3Be~6pdl~O-cETO=UpGGd}bTi#7)KvAd4Jm1MAl{ z4GQPO1ALI=4PJHziuInQaG{18%PCs|{%Gb@Ef`J#kk{*xUJrUiE~iL`ruas%~(8i znn?wwGf?K>+$RCD;v2r59N~kO{g+kkYTTR+q6M9Wf|@Os$byaQ4!-}VUAAzZCsuJz zx~)`a!6&98EvqP7_k0+A;=uSp7vDDl zhr?w-pH_iB&Q0H;*;>O%sJD2`4gJ%*=t(yyNdEjCuzOX#g!NBD>yU@6`z(jr454A{d>4 z)`itnJr|we8QGXZ9dky}m(_xT%q(|pV-B0vdhZjwu0qi#h0-aPZFoQwgG{0E5_j4p zvt27$V77aZ7Dt>y6@}z1$wDV0Yl~N-6G-c7-oOmYL2KjAP0TJ2$Nwk~z}$t37jDb) zP9c;|<7K8_KTgDTWG>|>BlR#}wUZfCQx_{Zh@uONY5>KnMZsU)X*~BXFa=@_r+0#8 zbjqb$kU~LZ72_7YDHGc=FnG=P>g@s03(gW&H>U@;9FNY@#zN!)BSBlqBnAL3LMxkX z@d${;5MgW+6*xykqx+H>GMaD7ZKBXqR&${inohvJEC9n(zJS}8$)qZ{;|dRZeX2yl zmsVn|TP#ps-B*{f8$ValcKWrU^GhoIsZhK2`wZvSOL)EGZOhXT$Sw-qBrUkaxm6T` zK2MON$hnCfo#8RSRz%*=lpzYu(fHSLX8DZ&j~a`}6_vV*CSF zUdC_XszO2r#rrw8wVd)eit?4cq5-Jt6cItRbb6(lP?fq#L8OV_MuR+Mmvclp zx9y2fCta=9+(Bh~k(6#CunAFWO;xF>DzyRel3KSmaOFsT3s()TwQGaomr6pj&TQw_ z232P~L*+(%;F4N+j}-KyT3#oZwNBBOGq?$rFJdUwoPr+8eq=FlzX2L>y%uWYB3T=v z;0XFpXTD531g0p~Zlm3_(d2wHwaNz8hfKUM`9YcP>@Txmt^i|cm2iR0GrZ;1=S}Zt z6Pex^ghU}BwLwM8)HuIPL*D!_erMLX-@Br4W3JjV5enz`^og`2MH-G z3V$7$`}ky;SsCtw@jNxPuQ_US+L&GE)`1K=DF+q76-iz-{eyc<(DRa`mn;TWf=rS7 zNVpi?2k;=0yk45vMr0>}T)M_R^N@H=&PN$Tn}uAL?$FR;M56HIXN{@<0P?)r!q00%@*m*N7N&-=XWa5Rd-h1s7u z=RKQINgu|Ge5X7t$(KFSJK;C^>F+Kun&2x)g2g9+KwRqtKXdV|P)}+snt{}3s-mo$CkTFIXD&@lTTiv#4#j@K z5i*ZjB{Gga^!sG@(CpQalo@&&a-UB^wq}%dHd#}9p6x6U0YO=q=#FHcO2A4%**mo6 zPqF;F^`H^>R8g?|dm3xHzqfN+QTI#gaJe%*(7wi93U(|p9zux~p^z8rT zL;f54k8ZDv_ur(Q3H&~fYd_6M+|~`i-v{)lEebUlKoV3O`jr>q(C-6-{$9yATz15> zJOJ-czTqg^Xi%S?FN)gbB-w|g$`5)}vRPHqxkWYtuRCu56kwzFG=lp~YeG@_BM^cS zQ@JBm{DHk`rM{S!79Z?Ix05KI1Ikid^oDNkhKP_<)%gf4`&uss zLZ6($3)yZ(VMDmAV|I(eMvr{o*~A!(;ug&L|nb9UOslNRkj z@nTJ>vxyI3Jn}%MdTYY~55v;p(|4v>X;5INw>Q6*qcy)>Alip=jx~4WXwkIzFir1^ zVxoTfel!$$bYj~1A_mk+72o8IPR~I3(V7=)y*bC_4&bQuMsF75LGbu;yvLRlH$!Y} zlrh&cuf8I==C2T5-)K-kAAi9vQ~b=l59r=5P7(maTb$Xfs$iBDt3v%~@GVsSyl-TU z1H?WP>}JgDGi&4qLUoP16)t(CKRVt0AwD%gICA~J@OUCJ!y*+E@Jce z0*+W$GNWyQK&yiXcL=QQOy@q3yp!-kX6oekMSTwI&~O2;L}SDU^dA_JA4T)6a&om( zP0$$SV;9%7rid>iEpFG>RS=#oDsl-IjvK<$2}-kqcny}I41zMOAedz&$U%_93S#L> z5d8}BXXnK^i^s37_OTkY;QVVe+K`Os-P~cfA{^&MWH)!DTM-%OMda9n~7gVgvaVvy^irU|BsmkWC$5|$n=E6`Ojw3yOiTVAR`JEPL>LvbDaW?*) zonYJO8frVo3GK~q{(EL`Rgg~)mqmQ8w8**&TWG9A?PS*^hE*|%-cnt)G3sMLrQ!40 zncnUn%XXa*M^vFItU!OSNN;XlI(n^0@^#caF^xzr*zR7Jr86&lZ2W>CX{Asx&1% zv}+W-*+ZkT98|<#9!jA{`8MXr2*-y?iadTw`e20>e;@JZF>o74B!0}HFJt1+^vbGe zuQ--WE2~6$hJ9Qn*S89}z9~Kt*)Z>z_@`VSRx3*RXAH!@+e#Cr#=TYB$^Ln4@k96FS3^&gW;{>7l@yHuD7@gvy z8S3>Ug;#+4nvY`gYJbM~l_WYTc#nRd>&V7^8+f)G(Kh02&S5SbrS%h@9?KMjMxJV} z2)T?HiQ|{-&3s$}l`z_CyNuOR0)l~YM0j@@cgmM~t!FIcy-vYs>rBIn(KzC1T+VKu zJf&rw7nCn8f?3&J~`21U)}iGucIx;w-Z z%{)Gd=X`cW=3()GEoWj1mja4fafJ8ob~xffAlei?UggbuLSpojiGr(DRULA*8ZQ-n zCGny-S1G!crj$aIYu^ zbaXb)RO_$u=*JL+(GvSB%0!$t(F7(IJ}HW5L<3q&qRqWKHaBf;I_jVFn$>z2j|5>( z%ruWaKcnm4>KOx5OUGaknS(+~h(M&2n_8kJQSkU|w!3hLEArbZpp1Vz&t3A*iJ;Bb zg*R$qhrbIWB&X9?PMZ=7jLt_+%Es+{6&qD^a*(f5az&AjlSaBwi%L4g_)vwAU4GM= zb?_i7w7)UyT4Eso$hv5?{q?Wx(MW5)q-iu;r*7UfP_glu%`3>EaRU4TG|QuhZNoy) zLHKcL`XR6W95fw8(4R#zU-d~z3H(KDKw9VBbUK7ej1|JIEf;+E2hImGaDBRW5r@R6 zRDQ}*ha2{*D5tZ7@uK5*m>u_Z!EjH<(YF`)a=zc)w(9z1r?Y*jf$~Y;dj+k&3)6?t z&A&@Yt@dR91#Fn$s86#0yYqo8FrvH?TGq2Q5PG2Y+$z+bduD-2UO0mV=I2%aOh)02$AdYrk|)b%&wEe%eeqC%KWF+*mGS9?mo((vaA+?tqm9$k`Wk z_{KhGY`I$6$>P*moH~m$R+FE6loz^gHxG}T$18-I2OBMF3PJ5P{j{-t9HliBZ&$1C z(c>744xz73#olD1MSayrn)8K8`;CKZ>-S&&T*g|CjzE-!5Y}=mun-Mam`yj||rJ z-l9+30$W&JA@m7hP&sdpRmdJIy?!MvY#fdzausI8v^c*Rdd-FaLZcz;+ij7B5y$RP}@T| zYnb-mr7G;_c_ zKEfc$yjRG)D;5KpY`K%O+u64$9#Avvg?Pja&$VW_%9>$8O;-pewiJuc&ire~D#ZPQa~M3pDU*k}e+7^_W>&sc7H zs*GCGGuN1BdgdFmOwS@?is>mcCYqiVM!D%(ZImjHUQh3gV$&}-VWZIWORtSw(=X#< z*i8Rp;{V5J>47fWz%Wd|Y!BlvreF4v(Qf*i#J|V%w~2qd>2DYRZ%qGj@jqtzJH-F6 z={LmRX!=izf34|1E&dgz-v)Fv7MgyC_~)AbeDMcNf1&s*OutL~*O~rN;vZ%DOT|CL z^p}Z0-}DRN(#SCVpq4h{w1PD{yfHT89n-%;{2iu$wfLVm{q^E+GyRR?|Fh}eBK{{$ z|0Cl6ndx67{zpvzqLFzfJtNn*Mh2SDF6D#P2cv$HiY} z`a8sbwdps+?=t--#XrFGpBBHv^b32D@o9;gcZc{-n*Mz8ziIjl#edxNyTpIc^p6sM zlj$!N{~t|%nfM0c!N`KEt`_-C2^ z)#CS={(A9`H~o#`FE#yJ#9wUs9}$0{>3>Z8xu*Yd@!L%Qlj8q}f;;+l@f+f|E`EZo z)^_jp-adC;=H;-SWEw3h#}o%4XGf}#C(RHfw(>qOLw;n2%q8RsGuH!V$b3SI%#eE| zMAfEXi;WrTuFqdc!rz#MO*gZ`B%1dVGvo#{WE3Hfm?5Lh5RCNYeaj3PY=)E((qM-4 zHbW{1xyKCYx>6Pa21ng_E6kApGD8*-vfd0iW`?XFBxHs(n<1+Sxzh~!oeEI^h`@Pf z;1A3|fkXsWnSq>t=Me%tdfrpTG$0mi_i`rc z7iUe zha%CO4mVq{y5(3$SNp_G9_lZg7|ZB|oPBTAn(Sn2;)_vYgqXzPWWjJas)A2v>MxeG z1*_X8>YiBpvDag{`LL#AUZu|N(ceQ+>%?dv*6y!vUws8qD52rH=R5Gq#bFgn6P@Ro z9uya=lu;tEYqLf?ce|bQ7!9-v}dd?1__|t zbo)8I;Cmym)Yejx`4F!A^tu7o=rOqF06xIE>Hfs|;0+9C$?PWHiaInMY8%4_d0O}Y zgYCM{p|^ZL8ay7BG0HN)q~{uxTjuQpk=LG<^~Ic`r=QV(!J5`*Wl~F8g4LfevlI2e)7HFx z@BeIG?=t80Ine23;Y{tb($mwKGO-2|`$Rka&<{+E4RF9cj@5u8b?N#cHMz5%P?K8> zoN~$Bii-3eQ!B}mGy9k1%uXEUdHR1dua6A}E6Y4IjP9%L#SC%bi!D!+c}lLq?!_%r za$Gz1cTb6-b-k!2<$yUU&oL?5h`kq?mA{8y3RWYf(#oX#%QLcDf3?#Kh=j&P+suZz zCk(>xeBj57yt(77#Uks^xpQgzQ0O&G78_ZbDEHF?w6X+svtBIGvVc@u)%y9OrXCMg zqmX26G3Joa27v&;nY9JN+SII;&wZ)olM%i3X|~b1HGlQ!ncs7Dk2Y72e%MUY6TDB@>LH%<|^L8bD~?p21BcX-qxLJbLCaBCvnZ z9ywisc3kiCp6JAkXgZ|I)2^`H6HVv(2d{xpqh7mAPLM~{l}b?M27I|5>p7I$Cs5SU!}9e+`xwT>8&od6JKEQGW8BTFGS# z6%ICd7fROVqrojQ-+^(tcKwrp{@S0WRzM4aqtnf~4YveO;PMb2yEo0RU+dNHbYMo1 z2Y;`<3G+l)4yud|7!0!n(zAT~qSqD6S=3^OYTTy6nuI$brwI)wIs1_LiS~{sx(a6V& zR`cumWB`}mM}s^$ZIFfGny??IVK7ZJh4y9-QhB`pmb#%s!4CNH(?-3 z%>$Fr!q{rjbd&MIDuS}f7vec2rI|tAYk5xjTDB0%L`Y9)wDYuEcOR^U9_(OE@UWZr zCOaD4Hs`{*#sZKFLXMgtiEx&xAwJUNkFYF@%)(@g5Jh+i>-$wjMm*u%#zPzB3+whj z;oYuMyu2rqn%$0uOy*7xii+Tng+GvYuwn9ucAluYFboTUuZm}9i|2O@*BasIgy(la zc!ZEXdkODt)c$$4UTJ9j3E}01gUtB!dEo~!O(KIFb$IlsQ2jB2m$tqXYhPH@@Gpy2 z*?BqNMj@PGCcEC}TFNs}XF6%9-DK!A+rWdSgLbGUz$vJjq5CqBPoO38OxBw`@t-s9 z!sA=dLi}Q0>iHtd4y%nhib4G~VV@s8f-J(hUN-M@tn=Te^Srx;M;W(4u(#f`?@?%X$SApjDJg|75dnW`3wg(Zq@ zBj&GY(WR_;xLRZ_h_d3ybC5O`rVKGD{z7xn^Tw+*CXL;fDA)|Mk+1r+WP(M90uJw# zVws<)&F~ zRJr;dn8Qr;d&wVCi{q zZpsmo5P^z({xQ=p`{Q+}8WQ-J%v3%(B~Xln8V~j7qI%pDy}r*VPGtm@my(3YR(D5#LrRDEWSsb3ogIjG7P=$0;tcr4tXA8(5y?&eo#PT9gGO-6#CS2dht#KJg@7_S-@YwXcg+$-A zZ+z4oOugW7zTr8z{@b{rK4|}J8gFm2VkP{LgpbfOpT}hxU)pNE<49p8k~rE>EMpyK z*8ZrbLR<;)#mt918A+_lg^Ej`f$V3)1N(4BvDzJ8{V-}yUV!2#=HwCumwZL-l>wge zKdMK-aJD4%G_JTo7?i{ZQ|5)mnk9O~qO^yBQboR)Dss=4Rgnd$B6Iw(E;&@04$E8m zj2fFq&Gj`IF2ZOb_h+@R#P)#tl0F%itFIj}W7>>97`PSdf{&2d6I+jj?_p*!Hm3sF zuVUlY9JMSqvDj>Wd!qh^(cvslY#AD9TV+u^Jydb9dl$cw--ql`v+h5XR%|WboHf40 z*&vTI<94s@T`_L2^INa*QGdfY)Yh1}H;|jLm$x;c+IsA)YttKdkYPh_(rwNfw|m`( zl532W%dhJE-)50pXO7l|Wn(j`^O-CrSq6jo9}`r)+*!e=9|-0!>atZt(S^&j4sdZW zIlxv!jrY#>9NTvF75^IT>+Ho|y|9Q#me{QnBcrTFsXLA*Rqoo` zMcwhs;jvn*QK?5(s*o?#dW^ch*o18pMZt2XM}PQt1JJ1)??>2AyTkr+2y8vk7SrL6 zhxJTLpvM=%J+1jn78oXIt;gO*aF@|tH5j$0WdHXguiNb{XhhXwxe$Uh`@Y3ZqMXzd zYjBKwl%pb0yh5orC9h_0?^cYeH>2P5uBI#${-QBrwN}yuLDk)|Ahz|gO!s*m7p`FY5wqi0#PomC@7{XD??i!gJPS_;J@jCH=vx~pP>Z~s6~9;CeZDqn zHOL@bqEh<*W{hWQGR6oXKK#wp7~jwxCS&ZeKU`c-19*KFpe`WKe1|rDveXwh8O%Px zkMV&_ZCdzpPqbi4K1XS$Uw(_+{0i=xI-EoiO#i=&J^3PqT<@?(3&fc{ta7{Y|*ehJPopyr@-3rw#q^*OnLkTt2qt z{aQJh=2yWF`GT80Psar`S8)pw%_SAQ5rj*LC|GSKC|Y8=nYH4IZWF-|g-O7aT@?il z#iY-Kkyi>V_$n@1Eh)21l9x(K{#@t-F^0e%LY>bEwUjK)xHwJ9DR{~Z&HE4Bo-M+n zae2|VBvO^BPvV{-6>Tun7p;->s!g+`O;pwSFask=zD|_1rAIU3>*eJVn|=QkTh!ab z$saj)*E%O2u6NIBvBkZ-u?1-qQpKO3tQE-Ult~W!rSyURGDLigqBSmKGEmY(lL)wI z4oRq#GzjjA$;lUtLUQN@KZ2eMiTf8g`m`aMyM5hol&?R~TW+uJHs^!zN+;a=*N@<1 z-DR|_^8*eyKGuHZ-oN2}JnJ2j{sf`=B!_H`Ng48+Wv*Tnyyv?!Cs4Zc-*~U<`~&H% z??-pX-|JqZ(nXiC5MD2?EhdlfgzsF&x(Q#Y48ClBf@jZRhmD3MB*5)nrL@Nh?C*GVb5cgSz6P4kJQ?!WMJyGIR-4dNS1hI18 z;->oFo=XJm7}?CMCiSKS(uYlY@0T%Qi?nF}ZK_c^M+I$hVcg1Jt()2SJ zwKA&u%gq4tg-G~n4QuU1;i0TtuA0D+o)W(!_6qwl=v<~E?WCk8VISSOkNi!nKy&W{oE@hqJGZg z`@iG&vbW&=+##1$V-cUHGCy;q+0sJ;Osdn)0-LQu19TcM!6+jaIh)~yI$`N$x(HwM zWw7UtmJ3>e@HOWvF5|{a}aJ-C_+g{ygUIznju5&A+? z_Eo~s{BC@Na5Qhu7^F2~QDQgY-Q3J@P45fawMLVfc@4v(n3=O1Z|$2XI;5ki%st8NxvUJFJO9TKVXo64wD;l4L zfb^|q3QrU?UIosw%LZ*Fb`#`;Hmt`c3Z{&b`>DZjhp#c#V|~Cfk5Y$MCq_6_Av3_> zDeBlECd$l<)i5C;?i4~LmHv(LG2sUjf#3bAPk+Jd47Li5Cn7SW2^f(dFy^Ul`7DhT6|dWbRy2FfJdpvz2-+bd-Rh*X zVHQJ5z%{>;C63&{qhu5_Q|L;2)t5NzqXprS#?P;ien~~fpYXz5iydqV71dkd1xmi2 z!o|YcA>%*((;Pu(Ll@8!X>)PZnGwLoNUUfdvLQiUt0Nsl#WF(huBN#df<7>DvnQ?W zM(5UB(;Vqd+!E@k&EtHgT|4s0#!qY&$e7H1UUTuD%%AOLuR&Gc7dq%E0sTP!SA@O4m@ZkNECX={i-HGd!%iEGwJ5z0_F)2)0*Akj zOf~ipuq8WRQho8EW@$1O-TJSjF8M`RdgJY~f)+=(=Lc>afACGYgp2 zgF+jh1Y>}6YwlMRrTFz`R>xKp>7(1}xbZw+XlU>!4u%|1n={jRkqNI25M1ZWLZlmHWOn!K6zx*oP{@q{tJf?Q2dj=tQ0F&Tj-XM>{{((P zpDy^j`J=#!pT=S3%QCo2-)_9005L&FE4z9R8h2`*e5r^+ir{m|>2t#m@sob3E54 zx>*N9UOWy=JQ}(J69^+LV|0VX7@g&J;?FS+(`8_ou2Hhl8yO>G=0XNsZ)}q3bmyg= zW$z5s>)ZI;l)3v9t#lZVd_$77K}S}@rFhQsQ=(Q-65;MXfw-wEL(hEr9g0$nX_q*+ zt>GO8EsrNWko%q64r_m6LeTN{2L;toTwFV1zbAGN1VL|Wtu_J>FmG3@w@Ze))qB=- z82qz0)JB8f*J71Jy|K!xMRP|lPh(|z+|Exei}p)w1m~u&2sXz9+omyiYTf%Wec4po zT4_%!<+-DTq@KpRGCQL@G}LNt#3`~!_6*IbCwj2QeF#Hktb}s36uoxY%4=cH&H(fI zVHliL9g)9;8Y;WycVy{Cv6X>UBMpdmP}=3zU^+)$G<>Z{g)FlQnMxsAY{o#NMwJoz z%7yux0T2hJ3F9Rj8$;FYOlBLSvW2s^XHs@!r9FP_g$2}00amtl6ik{;KE-b0(8=9f zY3~KsR%gud`KI5fs&;N`)pYC>1mA7$1TO^-n%&uKIMDHX?o(@&yo;OigPdyve40|Q z=Z|#GuZ^zzfYDp}miEkNySUCD4NiVQpWi`k;kMZNMDv+^k8{_NXz<4XN%V4n zMbN`FeJMEe9D~yJvJ^v*v%yas+Uw%_?6(Aejx^7LSqT|SG$79YT_76#1!o9JIOk%y z6~WkbQEi8S`am>%xYk?VXC>F@KAL_bZ4PJoqQNX5Z-G&-Q!6!^*+`yLCW)fripu9nPUXJjcpZI^Vl z*6Tj({N_!3|7jP*RkZyaSk<4>;!>KnOL#6j#jp{QSK;BcUi*Pf>)sDv%KKv&i(-h3 zQPT%jvg=eb%zjETZPR*3ILBMQEQ94(J|^@VP5(F$n+=2Cr?HGLdvx?&wQWkQpM(A9 z*fRRMFz+pG1aHZw=v_uJKS6H4d!4`I7L#tW$z{ML2ZeMuuc7k%nOW;i`&x##YSjG*cKOpa?N7&mhMZM58XTMrYt_}Ou?^20ha|aD> zuI)OG5Ix`f8I|BqVORX2r(xbpD6_O5P=&W>M+}PX7<%OW=GTVioYs!K?a68OmmG_( zqgd}t;daV}B0yd$3H77Urdlm$H-hUgN&Dk~9`8$PwV;M(Rlc^dBaz@GV&iFBJ=7Hr zt`kUa0d>oC?_Zgi6L^P_ReERvOZl=MB4{f>UdujS(eDx!klqp9zzP$cek?<-L+^hUM#We`4y4>t>|?RsS} zn{jD;#NJF>ePRQm_>dXU5Eq?|G2GxUWan&pjuRLmp9?)YFLB=76?(4RH^GcbdfSWhra!24W{=7%@ePxoMgHWo%p0n6Vz;v*(Jqu9Bv z56CeqUr+b2@}YGK$AP)_J;}B2QENXgYu^`nkG22q2Dp=Jws}k5z}g23|17&eU>DVF zh{~Wcl5B$6<|a@ZK>M?$hoMbYvh0Gr)-E{8`d7Q)XlfUD?FVHSG&9}iF7Wo;1vQMy z!8Nz(^L}{#MljdEW`9Mk|0Wjv`Rm_cUnST7Y}WrKbZ^kqsMlQmE#0es_C;3z>*neQ zQ)c!1Q>!2Kp~=-hJhl3<)&0+xzc;n~mBtGIVcW{WTCM9<7AZ@0a8vinjo+YFzc=SF zEq#|=Bnw|H_wLmnA1rx$<}%m2TCTeH$4u5Ag#VynUTdi65z&aqL=C7d4}O2U3&J&e>#Bzo#)sYu+zX*b4q5;5WWw1 zS8_hE9}Siq3%^M-<7_l$dCj$2*9j2wBW$?!mrI_#N8Sc30h9nq-jZWS-jj?Hy#cUc zW{ZW2)3C^z5zt@q@?7<;{WJy}-EWays_Pso>^$qhg?K_qLV%q$ zwU4Aw2|cm#`NVtNpUA>KU01~I7UM!F$rV=U-NIUP02wo|5P_Wj=679_VhC2cJA~oq zzc>Tz2R!ye0_F8q%7=9auAqa|LGkDt>7COI%h3(ql8*o~&6s?f{Z#`ZdMQBx_e*u}$xjx!YCUO#y|zJ~ ztBz^)Z`=LOXIeasGwq(nC53Q+2;mi zoAbBa+;%k4xnZfWTIZO|U)^Q1)eR8e+6Jy3v0Sf5HFNy}-Nxw8ouDHH2F66b8o303` zKj-J-Z&ecdVKV<<)pw%bBRVS{kwZ1XwyApmXGF83RsyxLf5tW4#xJk!6k zSYg3(`>pT@oj*}#x*B@w!&hD!P&U_Ln$JKO{+;{eyTv zvbxW#dmeI%$brFR^|42PYCHMZw_#rKL9bV2z&PZPw{u}Ra-ZW)K~h_%oadUmYduVe zt(}wAM`C^Ub|Lz8y7}Y~Mm_*t`-ka2lm0`Rd}U-^e)`H+%H|;t;~f|}S~fQ=^qjUi zXdCBPnK{mvcK6RjS3p@|{7u?DS|$GXWa398@k83?++q^zwp#H4l z38PkdW>HTW(ATIwU~&e*dXeZBj$dC3nNx|zcR`vp?8#Y zfI$?OinZg0yyR7%+2*|3|0Ng?;7biYV3cT4wwp%inG*%J}+M~XQSx;G`{ zzx+c1sY=K{CB@uIAFvH231=i*mg>L~8RxaKAzZ2hn1-31q05be>Dbd#6~L3kBR=0# zaD4~0`FVov7G?hhAqv2c5|QR--=#INnzC-FE()Q{cOr|f-b0Srl3zc4_8h~Ul4E|1 zVM@s{m$7#t)LYWce2B!lFl8XX-Yv8~2juu)5^3%sOD}^^INQ>ac^)sHF!C*=O<%;w z_aD+g#mM*Fekn5AH(?n|lCaJvqs3RtMD%3j^LFS}`RsgNU4k9mtbC*1f%$NpUf~dW z9sGOrRz1~T$jA2^mL(tox__$rc*DQM)W_p93I$|73VBgIkG=z^23UjsHg-WY2;NZB z3XE-iQ{8(UZmUjnr4Lhk;{^s`=LCNInDF>X1|wo}b*)fbUE5@a+#Sw_-{SF$x&WBrl?(0kV3Wt2cnf9yh4u!bqbPYApO}Y(AY(HQn<>UyDSk!@#-vC-_4kCx`fZ=y zM|1<6(@ORLFyx8l1|FaQkut)o6~|h5kWbIj>epu4Ccq~^v0B-!nKo1Hh1qSV%v>8K z?|z?>OU{W+70~pt@1pg(@d0uK%9oPiKIu|*7u=2?Bmex~Ib>lHq1r(Cl8iHPEMtfCc*uZpF(hQ&2^K5rUzAa_xc{8X`+phY$d@!TISl%07NlVJR zThb};AMp9HEf^gWzm-azo1ocqHm*tUdX=XaC@~M*&+-mbH+9z%a5p(4D+o0g1WyZn z%nF zvk$`|m~Q;yw`z0EP&P*o`%9kp*=H56@HAcpX`c4_o!%D`1wYCc&>!xD?GxkMfM$~m zS%~3}003nySJSW z5yDY$KRs4ikM?{rc-FZ!N9e0#om<5kU{MB35u3kdV?&QPx7wZC_BFre$Z2z*L2fx# znTS6FS;>7`bTsXbKdbzvitx|13A;3%wJbbdraE(R6C-=^goWKb^?NP9qRRwK(#69d z4JtGCzjjVBx4D3pJ!2}2C%+)3%J}XV#H=>fenCvBar+m<_zd5LF)RgX+k9h;6;qmQ zo5U#9ipDENCQn`}N;+iBewF1CX(Czs4#5J9vJ1;r{T6+7VP|B*H%>4%pi||zk8Omm# zUhr9=@KOxeZyaRs&ucG@P8DSKcI1VXs|l6YBO}|2I&VTvtn>fEH4s@hAH{}PMO)INoKzExULZo}HB7n_ zS%(z_6hzKm5m|Q~=1Y9lFmfnc2t2CGg#Z_FlW7Yf+h~5kEa<$>(>$|rq1=sS zMKn^K!X}?Z&xTgWrch(JmxEW@0~G2p@|YB|8NaroWP$Si-}!IUw?U!!S7EtxEq9^i zhAg+xSUSKuk7VlKgJi>07rA?YC9`R4q zDyMj6Osh(M2egUaKr)v2Io=tw{FUBh$SsxArp@s9r)smzpj)O@&GJv1nvAAwe^6p> znc=OPHe;4mD&++IbNy2%b$`$BYLz{5(l+mmNjLY1pEi4vZ>o2uRq`z}XKAx$r>e2t zGJUod@XtzRxTSLTj5(=RQeTxeYnFFLs$sWygMJA}mT=3=X|rc^cguE*#~ak9dXmw! ze|A9iqjK8RSu>`kM&y<`THyS8W(TXtbxW1MN~NErO`Rg&GrTjsGv-Y5TQ%M?dG^%v z`a8=%E8v}HyK#0PAoFmuccyLXG_EcF8~J4oSnjoz(}GoeGkjhT?hI|}B(HpHbN#{D zLBgjhS7V+uVk!gEDyPUCkj8Rs+QeydxriJLlYss!1pJetkJU(hRqYqL$M(ri^T{kF=Whd-Y! z81UEvRYCq{+O!)zHh*xEbi*djB*H6ioM~G+_DgED;;Pjh44B`66-#Y_FV)!=jILDy z{-t-A>2U5KuDZ6)R=KF=o;9O`3zjXD-No8pu(Ep1=$mR5*WJFLn$mm=?x|Te`liK8 zmavi7ZIz>gHqYprY(DRQob|Eco6Af424UVP2!>YAE`b*`lgRxe%}Uh1+E2-LW{hIUboq^|}@ z)X?h?4O_l)!OF!;*0_>k-SMv5YpNH7>uN4+-6Eijjd7l1n^if-b|ZgP6ZxCT-wgi3 zOIJu4Rf|_pBV#j%xn8i0R{_>pO&ZP|h)Yw8x)QS%+)Wv-D) zK<47#jGEBO#Wi;`Y_4TBp;gOQ-sM`jAhf_WX3Q9gzTltK#@b4jSF>zk%|f%hRVBCE zB=Jov7YpokEf0rQFas-V7>Upql;(2TY=Rt)tTUTbYqgt^S+c}cy?j|{!Qy3gE}M7d z%H=CvBNvV%z5KgLn=uvmG|n}1O&w$HTC|{!#@_+xyt^hf$#rA8)6H41%RgEBaNoDS zsybskdBdWWb+(bN+Lg5fv5W`>&bV=j?sbD(d_AeDCjlcDlM|*37KAtywd(X7<^i)aNTMehF9e&GR82 z+w{`w;~$-W`h+7M{iKawbyd}b)>EqYjJxp!hrgxrQ{Ax%xlsv9)w(Ozn2fb_bRz;Y z=ahG8EFPE|FIc_lbeoy9J7eeAId^DM7r(x5$#m(ZTe9WJXnwe$GZi?)oa8u{X3V?OYmmmmK9^~XK>+pIr7eA5^2 zo0j<9*$Yql)OVJ@TGaippO5mrX+mFg*a^Yr7hgED zdg9A395vqM8-G~)cj)6QV>1$C^dy5ac6@C5tjZ0s4Y*gdwr?am6wJ`HN=c_8)JoyOv z+&Nvb>2oS)9kszBLX=)n-la>AR6P7<$w0l2+7PCjCBy;f@!Fc|<#j9sQK^oPmaZsSGWvbJ-K zM#zuZ1#Fl@FuZQf%9V?1PYp!~g_{L#C^(dVTr*#OTBwY!u}%JTL0#RN+L~C++Bl1| zRrRo%J`>4x<*%(dY0dK5nkBJR#BjJFokJwvy&w;g?cZfA*pMSW#9l)8(lj zYWUCh^Iul8Xh}_N?dsZeu<}oZFIluQzG6A6^n--6;;mj*Q+;9}nDkcKwEa!sQfe89 z5Dc$hy@Dk&E80+aI{!u0Y#|m^hdL-&zWUnbi&lhsU+b67zb?)YSh~DAc0%o9p>X!RKrWC>Olb6?3udZ_mT^WPnZUYnSUge+aU%!9Wtf*g3L)K_J z2gBWl$#J$QI35oa&WLd$njbq*xb6u2{y$K-**Q=OG*2qtnpKMztq0#m z3=a&GR6&E`YgR3<4<#m6FkCmR%j?)Xr&13IudR=z_G?4RryJ0i*-h8i#2t?yf49Mn zkq>Epp5=NUE09?@x3WmqoSX z<#p-fF7F}f)i7YnWTs(XG33WiVRAYUees$V2aI3q8%AQ)t7~g(R=7r_DynL9-b9D8 zm5Iey*E0*CwEUvja92*3tqIfrQt4f|%YJA$<{#B9t~$Z+3X{JJKLG#oVE6&}+w^Xo zGIPEzRw{h`<|JXdCF>f-=>aoL0&;`OTE5gQ5|CE&&#+)E6kAm9`(w+n{?r*glBOFK zWtJs=G$N$^EFO5$>nJT+x`e*Vg-iaiwoLi1I%)mq*U#20#m_}Z`OP|w{GIaj>+i_A zwxg7+15Fe8x$FMLuJZhb^V3;!ATTz4o@QzI1bH}CseX->&ni!|mspH>4%MwoVr`FD zEHxlZg<~N7vEKiXcRjpW!Hjw|^+E+hw!!L$az4ejTfBeG> zpI$gupGmh?oqp9Lf0%Lpsa2(i)#co}J*yyE(*jaa8<&nYi2XJ4<+-}d$V>adfJ zv-_~ZuBuIre)G&<)}FrR5B`3%&y|1fTvL84^M|knvAYoL&nY{L5!hI(+KOUb*fH3l zEf^ARGnc`KF%8Nhz&`V~x!M*S+;2CGWPVP+7p?i4JYg77FCUHz+DcL|DhwQsOl)vJqV zprcAx@#@ssRk6=OKRjKfR1 z&_H@j@0^Im8m+d(DuaQ3qi@<(BTzeGYU%ClXgfeUqhlMpx?0a_Co*Q<#u$dX_02Ig z&Kw}V%O}}_#jq=hg~`~4HBZb=zDZW=)taQ7?H%pSJ*}9K+c8vkQ=Ro~YML5CH;vDK zt?lPFwzW3dI#BOqbB_r!rQF<_q)R)gytGygkd#XLO{4QN<`+CH= zOO2vEGpTJi6063v_1&F%(qSLJylMisAtp}39Z^tUYm+mH)K;G8*o>5PVxWhwva?Zr zKG@%yJ7;$%5=7z%w7JdZnRLe+%1_;0%8K!7&pNtPc3h2IxpZhbqrO&YNQ^F86R~LI zK!P(@qBhZC8c&O)LgM&rYVDetXhY1Jf?}chsg%rI*Qn;pK!YP^oIbS0XfHI1YgeXB z6|_bQ)k3{YnBRVXC%#tHl!~~1`)F%X+UCx)wwS{i$3{AvF<>`y5}+A%a~89qRfkEc zADX%odb+^)L$cZ$*EP4Qak_od>6`J>)xBXu>-ttz@SB?Hr!BEy zoDMhOgX>=9JMlBE&+k3`m+v`GE`RecQ-5XG<8wz;eW2v-6P`cswuMi1oH^{tvM(%r zjnk3n+7}mA{NnEE`!Bw7;iS`=j{Vu{?=L*uEZkqQYm+x_u4;s5C!mMQ`Rv}UG~+JB z7jNX)0o!DZXZlg)vyLiH9Rw)Jf2N!LaTl}9`WC-?pwR;gGI`i6s*K=}0XIZX?umsi;T zSns<8L($2oBvm=nn`TWnEi*KVrRbI+^&E&_>a1FIydIv%R@r0jt^=?PaXWDNmiYo~ zrjS$2S);q(GnC;w;O8f*iN#}!Vyj}95q;87oXPKqfA_IX=Y(+1&xK>8 zU9IPG)61qkaQqXQUs=5|t(>ga1iDhuXNBU|C7Rc_qPt=zbT+10hUyZEAC|=Wj<#lI z7FGs<6gGZ_zQ{l?q0xX74n;uQ@gTN_VxV9!X;TIkYz1hw)F4H2#vtO$n906}mi$)wi%NZRu!h z3MSO{Hm1)5@JDLaZ)E5M^9k|SyNBIfF%vJgw39iXg`N{EzkP${S*p6W+8$!tG6h*1 zw=GYqmF&3m?>5HlBzT~t2TqsLgNxR)+G@-wn`RiQe_C(WBV+8jLL!zbpFfqP3C7d0X#J^r&`)Yv@JFd1uI-Wvim}m8 ztuVAd{YO_+?K-bu0chd|px(0WVzt`Tt=qbFECeZvP8Ib0bXG9ar>EvA!(xs}Z4$Hn za18!IdRzWA?f(6&SmOp}CT;#0m+Vxn%*eQFq6*@0SMSB{R@abJa{NDd^37<${)eR` zR;v@=0>2rwapt+@o-D;I(T1k$;x>+Z)UH0y-|yM&795X1Z4cyt4=YK(gFAf>5hLU$)s0X zYE7*@7gU039NR7S{(7uNcQ^K)CS`QbiJLQB{@p*H4qnrx+m2Xl(Ya^Y^e1kf+0tnv zq-e2tbK^!!tM2GZN{ux^n6z5%*(q1*D-_U`5;ZEi{Hd^?+&hBNUk zQ~lq}x3TH$2^d^%Np*lhqU=KBMCV=%EB*#>fsTQoKJoPqBb}zbuQ&3|N&~-{>A*S@gM>RW-0HXQ1E`;~EA9uG z*8|kcSz5hb7BJ^8>R(ZFa*dwpaEWON#o%0MxjCoeoe=d({W5#LwwhBZ-j|T&OO?v| z7WRD!|71^Uv1%&a&h>U7SWz)&K`dYhwWe{kfo|w%L;vgeYhx>;^QWfOCzQVY=moTQ z>L9^4*fnCZI~bR6`pN|XnnXVPDu*HRA2;Fy))f5ioIf>;j03t+ zfc($xSe>-;RZwd6_S$r_G{{$hi9tt5R1f5<;3%Fx)80Gal7`Z+`L2Dxs_PuRu_~ft z`*fh*7F$W?sqW~k>1j>IJ3H3%!V`0`bjf<@zy{XL-z;g8HvX`4uJ4jH^-E{Ycj?qU z=cpB?EtJH$X0=|I-S$*=uZO??NdHE^vVXE}WrIngBOAP4bPwN*WhVWa&c12b%D`d6Q@fVEahccdJxvY{C4ibt!AoWUF zWMUnNL#-SoI0kg^e>d%~iUT!Bk_qsh=Vn38WYaa*Vn zw5y#Yu0FT_SBea?MJ~li%MJss3(#o#WD_y{(x)ZUh_U$j%}M2VVEIyR;eOXV{C2N~Pd$F^AMFDh zVq03HYm{fiT z>hBJERr||oRUO|QMq8-XY(___)@n8!d^z&5tO|-gdL2Zc^(;tmSw^<#r@u2zm{QnjC3Fp*g+P^WQReb*GajLzdS|f?x zRejq+I-Q}`Q7gaAtp?YY3ie&PJ<0?9_s-=-xmy`kxzTxEXZ&yuw!Gzm{(I;A8>!V< z^n=g2D}#5i{Aqo^fqv^SZKqmB=i&r@b?YpkvzyM8w#9Vzv9p6sqtX~|qljk0(>uqm ztIT2uf6V!Zn^1nwqTGi2cBX{$M_qW-`HP)@_iP(~l=C+@|7hnI=Pz~sZL@6rGUu;y z{_)P=KhuU!aQ+78pXmHi=b!BSj~!{_PjP;6{+RP`d$$dr>ijzow|;w@hxTxO|Aom0 z=ReQIuX28Vpxiw3o&Rm;FLnNvX6);FKy|_f(?=&m(|)pAuUg*CUyPBfBUMMFT~V&U zwGIhUDY2!%>Y77mBg;YgZ8Q?Fng4Z1s`??EOAYDlx^*ht z^I0PYxpAIGnzoL!6y}uUUdG=7_;2EWT_O5U6LO`0N0NfK+|8eAKTFv{4fGHDB!9CF zeYT^p=YggVZ>1Zo|1CjMRcGq@Q`gr1vx>UvnlqEW+UUxTRO~w9==wJ^<|68^V@~HX zecp>(*NFb3e$|)$v&gisuKnzzE3!`VYH|Lh#MNHX-t_xPgWii@cPKv9)(885DL;2t zO?h?wujSObYq|XLSlo_Z^V8DVa#+8%hRxT{NBQV%rZcPR)pUK9LTL@q>M6O#>I%?c zC#O&jZfEd+IHaD~LE1{nuPb*yk2=D`el3TVPxED8X!7&^Ta8cjS$##Zvg)Ukz!SfpDyyQyim^Wb07yuMjaZ%iQnt>QjH(7&1=`Ox6H<^*;K z8*x$hS>2d2vAMJvrr2Ighc8O-y1wSYZxW>Xw|QM>H@7T({_kyUH(v79yafKrTi~hu z)Q&^?Ednp)BTJjt32CH`qr6V{{`Jz%*3_HW^)20!)ZEnG93a$l`%Z&b@|LW= zyqK zg2f#@Hsu;dYz?!>T&Z9N;l)gxE&pi=@GeaKdGGM?drER@aY?G+IjOWx88R99e3{f%x6D$*XQrPXZIKG z{o;N1f9cD6zVg+tJ@DW|5BGijk#Fq%=A++w?D21Z=ZWt=`Mv)Cdg|$Y-~Yi6pZU?V zKYs2fKmFOj^Dq2-|BJu)==sMiIQF>X-?Ol)aou_@m7mqpdiKV)P3;|tb2__{-RExZ*>c|dPCw)QXEq!> z`~&BI@PZHhPuKr{I{$yW{TD5+UQ)C4gk{U$d*X_ft5(NPs;#T%`)6xUJ0TghzoyNJNDlFoSBRF8&Wq+sw0^imEAu2; zQP}4d_)Ou}#OuK{|N_5Wg z2=WWky!>p*uN)@%6}b(mHW(*z6VP+EBSVd9+nE zWzVgMl$$iTd&@+=2?XmAqc?31HV`adi00xoV8pr#2*wN2yz*=* zcjYNtl`X51TVCrT%9Emc%Isum+br^)jf}2wY4+wyh$hHZ50!bnh(Rz? z1}a77%@cXRl{e&9StV{hadR@_deib{T1ysk&HA9Tus^@gww9HPeA$Lc>}6ot3EB=i zrr0T0X43gJ=ukYH=2G75sMK_3j1?F@AzB6>(}t9@Ov}?Wg7H?UW$M#5>|ZSMCXjul zmVle`ek$U%KRaywj#Y6}|dm>D6x++_GIuuap!C*;@i z&{jd37t56xZCKbzU&eDy9s24;{s=swJVxcpsJ;0zA~{@g>hmNR<_*u5;T1XkSq--C z{U_7ZY-`JxYu@?D8ZxjC86droUPvE`GcjK#5@#H7iinf%@(9N9hGogH#hQbd`Xtth zdqpAy&Z2=4{dS)3+sK(h8}hnB+mC#kvLsB?egTHiv5ArHtH26P ztM%NM6Q+&KmXQZaYuYcIkC&G%dGvE$UvAvUBbKnofPJQ1*8L~^ed;gGmD0Ui(W_TU zUj3COUMegvB6-P=%FaOgvI$u-+`CM4jQVq`Hyj#rnTPmzO00sgPD`#TST@4Pbh!*EaYJ6KHv)V>lmfq@|udn^!X!Y z{*H)LY|WA*b#C8R$lN|k#@9!AQ8I(4wrK{<%SG=$<@ElCnD%>_cl`XEPS_TpdnI{N z!kkz_y-O;h10(zGd^LCx^}QHf&)USu2zoF?)4Vfip6X@VH=lVizgE|DJeOdv2hLYM zCJk%a0L{)B%ope?)($33^uv5l6c{vlBZvD&qNkZlLv$Nw%B3RD_`GRPO_!o+pOQ8w zBdu4MD}}XrgSi9Q34flzrYt`MS~j@)qH9C6vAHr99h|RiSf3{kUM6zc<;c)#SFg0Rk0>${MMiX=rER(UE|KSey}DmgIUr7mHZ5DG zkyhIvL?`Xe&oie3d$kS5=h9Y%GO8Xu#TW~QnQ@dHq3bT4WBQC9*d8hOhIukf%dF+R z#p=EIeIoY*QQbe8F_|ktnl~noJpgkybr{3`Y)nNl^|0mcyPy8}Qg|&Hq?vr#FQs(> zeP646&ph`P)*HYTn(uJdY0MMZ%xyusNk7W!uYs>3+h1d@s?&C}?yK=nGk(gmBg=%R zX(H;r4v4xm>V6e?)30kwt_e@kRA26igwrW4lXpS36l`S;){`T_avA;EGz$G$EG6tg zN}h@)>^MN~eVI?@$-sl$vwes<7#TpPLDO|lh~AJZ4fVP5ZXFLp(x4AX|7T!Ey=@P5 zM;;dPwtjWL4ZN;(kL5{hYeYu%WXXvA1-UKPK( zy(j1^^;hIeMNb}k?BOzYSB^xJV<_8%a2%Z*o{30wFM7MaEX2>7Um)`z%aX(PWJ_#E zF6A1=x@4?bmzX*{DKZn-rFl)rlL>nZS+f;LKJ%!K@n|62tTAfY+pvQ7jwqBPh*L)0 z%4)|9jvgrPFX|hSC~PQ*TbUe=TrjsYewo+p_wf*kY*!&J`@ zRzz4%W*F^L{(ZhF02Fpo=6QuOZ?7j)*q4sSRx_qPM~0I}P9^q@Ks>LakTp$24uj`- zcosFGt11hnXghLqT)rGfpG~9BCeUYN=|{C?c(V#+)}DyW*p($?w`NO}u~)$O)%A_l zcUjEG+D@M7xA;%63ju|vP_C6FvT|#VEbGaYB`us1!)H2tChUOEzNi%L9ZO%0K{iSx zn9j%sGM1CbHnI`@naI0=Ugb&M)!hv=sNbx!X)E{_lULzhWFuLE+>Q#zJ1md>kH|>! zA5Q++O`|2q*DHuf!E4#&-qJ!@N;}M;9S)%#CeaT0l|_<&uhpN47epQgW~{YkIsNA% ze*vD;vW#NSzbhNPl_Md#>awl5vX*#CA2ju#@AqWU_sqpjV8DZX( zVKSv9PexRZV;qi>+=QJ^cE2d{bD&AfrE9Jh<6=DBJx!F`Uol6Kaw#}gr1Gk$HhiogXyfE9WAUt;i-KvOv?W%axKuJ zd?}~8e+1O4U+YqtJCv4@&a_99zZPT+ak1_rz-`K7VxCN7T~>rn%V$2yVIB#Fdn0pY zBstDH1${k_zAmS)XS^Pj*#2TE-A8{X>38&V zFr7ChN5-(;9@&THWM0#{4TvXso+nlBgKt^Bl+k`Av|l0Zmxqqm@f(a|%62d1>d#H& z#I?;>KV!?e5ZJ9e@T>bV;2QN$&qo(!GvARn<1EVDo0l9Pjx$E*3iif~x9p~}5I$l;DBO?a9nCj4^Z^td$Yz7A;e)4cS! zglQrlEb?RrQ0daByKuB8G4&6R$nZT+nD7v7*LTC|CS=Qmt>2Tpo_>>`@?4?mRS%Qr z@Mpdq&R6+9_MLEfi?gMeI_0(eSGZm?@{!xyyx9KRz0!Smc+tIgdU?say$iuM~(Su7*& z9p0z;#H&5I3<#cC1!>-dT(gEMg0ERaEzXn0jQt|kf<>$a)y87ihpY|J&n4(>e|^|{ zq9;!R@dn#g>Ylg)oudAcYS&}mNneKOW*);<5=iTf$dwTl!v}{Ar0wwWm7csGxXbZY z_osnt)UQ0)ql9R>j(DAU0J};styhpM1r_K$)@N!RDLaIHwzph#&+F6tbF#9QDRS~l z<7Cw{rLy#~GI`IQ@p9Cz2{LELL^*QnBzafQWI2>LQ<|2`l=@{drSb%s;#Em{#8_Es zK$gnbPZiUqg{&LcJ0$c(&gd@sWU4S`_F;sn{FpSX^<*#5+i2S`n1}DR?)jltOpC>m1{mOH3zASz{-#dJN0lHzd7p))Vw=pV~bdK?}cd+8`ArkpMV+bw4CUHOq%vd2F=T7J-Rrz-?qFhTa3o}7_h_e zQQiftn+hdN7Zc}a#Jfb}DR1Ivx)6=D!F1lV;mlF!(?<#h&0N=Kb)B}!&L&UJZuVrK z&u?E|i00ioTyEVz44uJx;v!>9Yw&eVRf{Jt0Lk@Qch-8WNre5XFwVkZoT(Ep+UiMz ziOaeQ_gY|u`i=f54%1BC^1|tq2LB*$uPoP`6XtKHJ^S>0*_}=8Wj)J2O6{FeSs>9i zbQiE+^IMTGEB0s03B-AihHJdcI67{i=VZ{0zFmjDP1t@*v@@3jB~5;RY9((RK$qnd8eP$!MD(&2O6^P34mM>v?X&$7mB^ugbobDU)W>hvV73ra5;( zmta%9(UX-ov5!HP4G-24A)2uZglXQ4VKRgD+*sBnI@hVKTY0^))04m6j7%yo(;fvG zH0+`(_pCFv5%+sQn;$oW<`w6d{Yc(Av>tNc9X-<6X6CTodN=E>>05JT9P6!7tha{0 zX6?Yew|nwM;D%PM%Sbk%w8`t}KJ>ew_hm14NLV`w`@?WtY|VFgvg}TDj!Db;2JUYI zh3eP3z$--4et>5V{6c9*=E+F%%+b6w-ywM+j|ZaboJ(8{3zv;LWYV-e88kCyF0%8u zH#1jeHql3w{+%R|s?T~-2R!H3hp-^c%V++pur`APzc1C{Qt1b>x_qfaPF5ic(Pa88%C7r4=S82DRI>iBjV8+8mCv~#_7V1HrPvxvx7)p9 zdTlGx`#t6wAl^n<)gHoJP{JCdi1lGU?XGs}U>wu0wbXPV(x9@j`zcQz1%mfXf;3~x z?!i9Wf}I6DQUcEsc$RcpyLH1pPr3nn-w*pM?p~l@%cF8jJ%`Y!e=wal7W;iNN5--? z7+cTYt`a@hM_Z{3V!QTj$b-*%GUmt32bhon}MSj0;i|YG{C%*=Q zcO64C+M)MV)}6ps<(;SYk|RR2vMD*-+j%!~a+s)XRr?_3(Z5sJ11b%D>C?=Z`@JXi zz}_q1r}IRT`&c0wI*E0M(ly?xKu^2IMRzKFFM4c97~ef6-ZRR_#N~V)_lrQ4`i-8* z9ZK7u6Ha$%z8p#(lgXoqJo4$+9Qrj>4%2t&7tIUMdieJcOVB$(IW=Srxu!(Tnw0;Jb(oaqH=YQIL-1zDHnR&q{QDs z&VeUP8PTah|DlC)DCs7UE=syW(&dpZJ0qPp0vWo9y|>vR>-Bg*X>%({%XNJr`K3e(lTp+@UnaVKAMs zU8+v1boY=;RsR&Af54T)rL-b#tBSHlnG2Y^kIJ8M8l;)~a*PR2&&_C?v9yi3d%_um zcO>VEtmP-M4k>9Gi7a9FX5K2<&iSmdk&VDchMlYuJ6VQ}Y}*Ld1S2^+IEQ*gv2AT7 zZ+Hdi-eHAu7`#h4r!1u(O6dn*cWT?jiz2cW*r7a5E0NQfM^0oOsbL;j$UHKS`K6pW zA-2B^+jJ>*t#Rmsv7vNkkH9&LZ`blhpa)p5`1h9*qiK(lh&-ctX!}scAk7<%jgYbr zr<~ch*ghN}zRnls?2f+E^Yhre9E7^gEVhK4mMC>y~rMHolVm) z4*3Gw{514Skmg}W(Yu{R^m!3FzNpjPJuiz$3(&9WXg_t27*F4;-`Ghx+hT1PqN{#p zt(e1FQ3C1BeV0Ax&Rtoo9ZF(OqMHlKYh-`Q%OKP6UmW7Yy$T53z<&a&&kR#@#{q)nmDV&>3W}crU+4U18$jhFal!-kz z5s6KSNDZ({^JyF}jqqI#-)i_C58wIlolD-c$omlTo=hIm{qS#se?9ywCx&>KJA_`T zyBp;Cb819}9TJf@G>;>qa>Op?(H&WwcOmyZoL9H#x`cCSY?s;GQy2)uH)FAKj6|O* z9N^w`d}^WYozREuL$@7D+XHDm7N*&?Tl#KC!(kD*0%%H74wV)3NRZ|gb4JSiTa2D5 zM$Z)YIeD28k#=CWraQV&j%JJ=fgJ0&9mQHZpRt?6*lh^J^B9{Wx92C!88Euv*)lWSGD9N%DI7?o$#hQ`w{}De!I(wNGgMP{C&0^qv@zTY%`fT5d6J zSrL&pH9svw)6Ai?2&t)Txnyu%L=I`<{fW)mE=*{Q2lc-Tn5eW;bUCz~ z*Ym=3mF2zp+<8u?_pTo<*Q3Kev7hqXf(6G|qHX>sIlQtE9S}teapGRNaPyY8w zUx2sGe|IYXsL5Z~HKSP9L?zmd&Ih7f$XDyJuaLDq=Td|z{p52aGN@%zdlve|+UeX1p+Wid_A(z_MBN-;bsv8*>p%4y z-Ex-+578<=7fM%l7-!ze&vWL!OY~e>bwj!7N9LV<)H?}g{PtZ!djr`Yuys&(&ZX!M zm$$kP2ln}O+Dp4+(%5r^(z!dl#pI!TkzgLqK0aX12=siObxSd0yfBIF20mJ*fsat0 ztr6LKDP(P5WlVrR{cqG$O}b=GNS*e=0L*+3?Pw8GS}sOPe^8uSY*sa)-Cy z-lr?SG9vZBfVR){JnUwyb&&1+7TN*13WnQxGRizzBt`ey_14a-BJx?l%H8e! z{t%sV%heGn0sOtUy59xFbsQLdjoegnh8U!qHegK#EuB_%Zk`N4%iHe8(Xwn=R_X3K z2IxkgS40}DK1YvZuP9}|;O`B*67pkT;h$aV`B_Qjcqzd)Vo&C*Ty3NHb}lPP&1GCC zHe;gUde(V>sXsJz-v~_mAobGnv#$)%j>wfGD1VfEb^HX=yYgalqEBy#$Rofu<%3_{ zF9PTLd}-q$G}=CxF15C*u(q|t&WKzFnES(iU(x14x=B-S?$$JTqle4r7m5Z)3>5TR z3$@-7VV`8~XL2tSoix6F822-orz@;H#cz+uwZM@VQ0|GjGI2lmjQ8nzFZ=UAm^*(R z^v_zoX$73ou}6L+Y?aC(KXX?LT_^h(;CmU@++*_3wc?*=9R%#s{B&!Pz4R=-v|U48jw;q&u5qKlerM2m?VIR*+`eAKCD2t+D%%0U)XQs5~W^ zn*ubm9%ft@Gp>sn*Sa3|)Mmok=Fm}71}6>*hTcNV|}TKlcG=KzS`@fCB}ZEB&l~b#-Y>7B*@E~m?aav@iJyWq}bTT?K`7w ze~5@j`NuuN865D^&#_gwN9o08%c;uGO$H*r)Hc_G$Hp?JwawN=}!? zi_7w)41HV1m@1>sk$uzl+GaoaNd#Lf{jlH4h#l`m+Lxj6Zg|y3;KlgaTL3>W=MrU% zckWF0`}MzTAR^xcCOUp5ezK6bq+uUn?pOC0r}}=u3lX^hc;H2sKkn;*SDgPqGWZhV zuK~Vnd6Nod60$W3{WS?)Gl?=yswf*6*FUE3K2sFaf3I(*y&REK z0l#lxZN@=yzBz{~_uJh2ZA1`dQ0^3!&`9gzzqOCIpkns(Cnb9gU@ zaiQ<#6c44PWc%Srmb?WF`03T&OB;`?2ebAXS1~$a(lgh>Yrvk&rQ7sW-gUklxXhPz z-M`e2#CCbVRWJ+Zdce73#a`vTtiOLo;);R;S@@wJyW`@tmEE&mK zDEkrOaEEhzOOcHArb=oRR-SEaAp^=|W`Rs-I!Pwf$7KS)^Dx1CuUKn^&8JH1*V*H5Flt3cm# z4x38TGbc-K2mCZ&#{FBsPg6FVH5PmF$?VA|SAJ0@d%Gp-#!`Z@WXoaKKfdfY%Bz60o+WPszK$fR)z1geT`Eh*o|z@hfIrve<4ywp zTxa)|Xqq5Rvkut=hW*0MoxjHYcEIly@Sa^K?^a?r4DqhzzJSrYI_EJr*Sop7 zbBz5h8}x<$TQ;@~=;vf;{V?Fm<#}CM@+sgDR|Y$mvc6{DQHEYC>$I)wkEc(vR_+6i zck!!mKi{1tXE^_Gofj9U*J9V5n@Ea?Wc-xL>*(>o3$(Z?fXTy0AK zn6asGhHuG|>wsHA4w%zk{G9}c45KYD(aJP7!5V}4JCHT$&J z#t)VbjO{P!W3Ac{job0fc`IjYemma(;VgLu_<_sEQyJYmLME_wn!ws=0(10)&XTyN z?=mp%$J}ey!Etl18JpWE#@(o=3gTsl5}q7GoDv!HT7em>J=CL&`{TvFzD6EW`dZKX zn13fQPfS3MO{gFb?SqSGtDqb+zxri;^4cus`{#o05!@u84H}=EB^Ootf#%HQh+g zFDmlO-QAq>GVD#`SYwR4H>^RlJY*+!PSdpvYeeLH68e79C_ATl!#x?kjyR_6i)fdT zJ!s;CN^1`5lDa5(q!YI@-+lp6HjijX!o3_7nGu{69Nr!tKzS7|v9R8BS zPdNOn!>>5}7l+4w+~!m1@G^%_clca~FLU^Mhd=A^Lk>UX@PNawIUKph@;}1i`3}F= z;dKt5?eO^yZ*%xYhj%;tfWuEY{F1|ebU6DHHos90#~ePw;ROyab-32y(;aSc_&kTV zIlR;1dmVnv;e8IjIi^C-< zM?5iy%N<_qaNOZ_4*N3p8eazFLzns?=GOI%ZFSB3u&{m*{@AP)&3q?*2>s~@UujM7 zndpx7k{5BmMr=Mi#&2zyFg|$O%z2n`*EZXj`?zD>)|_nC&yX&XUQK5|(WW1iUDTyy zb;)-;LaMtvJNfFnewVkgX?YXhJoA>eb=5T|`Su#WmVJeZ)3Hgv3d*M);a4lwZ5>_B z%OLPEv=_41wDT=poJ}=7>-qU`>O%%pQsj%-usLXOBx`xslIC^YXPwpD8SmtitnEoT zEW0+@c5-WHvb(WuO*@}XqdZfTwxXkBV|QXHpMTQ~Xhi+3@lp+`ZcOl-;my^2jF8`? zmfzCC>-p+jyrWfHTE3&deID>XnO)!9$p@PG9C_-iTaO0X!6!~v-nIxeJ#xO*#MZdF zqnm=tM$@XvCf5w|a>RYJv-P~pZd}yfRL2*PZNk53UZw}OB%0-H%cYSDC-mp1Pm!lw z-(`wIUv^zvGryp|LQ`lV7d17}X#4{9WTo)EUp`G|3v&u><^?}1mekT~o_?c9WzH%3 zEpVmD_;h;puWH=X42K^Zi6UL#SFuGtt8v{Y=S9A6;#4CzNo4Q`#XL0w24b7dj^()FpDT|VPF>zgYvbk#!Gvm+}gnE{z6|QMNx3#mQeG}4M zN0Rolx=xYjmCJzwn;kW@3 zDA_5}B-I_85{;eBsgg8V4yndGxsmS#uT%YYVomL;niX>^W;M07`Fd9IIX%DT*W7ql z{ATV%szd(+_MnsZdSFo5@Lo=yCzAe1;sCK(V4#=$`lk~2H1MgE z^?k&r91Z6Xz6SpVz~P+15GPI8p;mV-$d(Q1RWXZZ-BSfnY!w4CvKyz zQQEARdg^Zj4qilj>Z!kxxchR_TnUev@T-J|w%6b1+fDr%sMkO(`7y(60|tRO_0Zqv zOiY3wJR7Ks{vKs{68a3>)K7ooP=A+9e{)QKM|6;~mQ#nF_u&5={@cKJknb(T`waBm zxObB7M)=+YAKc}@0Pz#VkKGP0;x`aKM*Q8xkKO=$mNF0)C*2@%qww8^TYr~mC+T{D z0YLD_fGUkkoEW@B;fus4pN5-hmt6p~-9Y?Kcmdmho#fdI3;=Q~ap57vk5i6vV4Idl z-CqF1qmQsbU;w^-T2AOYaVPGD5A-PI>%|`@ZaE;Ird-sy4`=`efNjvq!MlN&##O-G zuYRBx*bSe)+u;jtAfIyTrN6P%r}d_;efX=W%K&lW)H9*wBEJUeFbF+C-O7P}ppUv$ zL9ZfC6>XZJK7$H`?WX)u%3cn{fhchsD9<+KshD(q(07uyTKrNDK-?Z6j-hk@?^KLUOYya|lBld=I7z+&JOU<1$vTnuan zZUOEA9tNHOo&|mlyag2QqJ4pxz#^a?SPvwCi-Bu_+kr0uj{;8t&jT+5e*pdl6n=)Y zMBp%B4sbkh0&o)WexL<77q|fU2(S(KH1K)gYrwaG9|HS<*8%Ud*ph)mfw@2xuo74c ztOweG4*-_~p9FRRdw|D*XMtY>Zvi7d$6XcRUBI!x3BbufGtdQG1Y8Mx8u%RWRp8se z4}ceeKLNw;qHe%pKqaskhy#tlMqo2=DR3=tJFpvg5O^GT7I+@`74SRY&w%%NehUhS z0;RxIU^Z|Ra6C{0)B%maIlu+L<-oPT&A{EjL%{cdp8>A{k-L#`U^*}tSO}~FP6svu zn}JJ#?Z8dI-9R7kB=BS4H-Oy3Jy#$G90|M!hy(8j+JO%OTY+nVn}A)wZs0*c7X%T> z5+q!>O~y@s?kouJLGg__tPxE2*w>gGv8oByC6)qZGF~RgM42R$Ws1bOF>r_+D$``T z947B#syUo#=-qtZYbM`)nJwiqM=JOVOr^}@ir-pxR5?xF$JBm?ykE|g2GQ^S zt(PWgmJNIvOTQa?wru1(T$}h_lzwmV9P;YZ~%xm>Q0kI9v+$+pSWvRytd*T^SWCSAuA|4F%CJ|#CWLEI=e z$xgXhZeaqtO>SrEx>I(^XXLZ;Ii|MH%iVI1?3ORcy-aBL$^G&r`LgVhugF*BYx00R zC=bcQ(kEY+N8}r_SH3Ba%D3b(d0f8Dp6vX_t;QtIp)p^!`Wfov*v|+-9-vre@s(JCA;4+d1_c z=gyhX&vkAaw5i)c0t8rFy5)(xyn=Y5;T(h;KRD`T+>}pPD z3t>Gb1KrWv;6RB@SVyO6NaNP+w2S3eL+R>nO~o?4cD@=FjM~<0n%a+@)E#wzQ?Put zY}gZ094uuMo!90PSxP(m-w+|tLgduk*45l-tu{8R=FUz&S!LaPzG`!Kduy`G`CHgb z+KL1+*4{`}%y=>awS#;P8Xl;ZdV|%{s3~5?6X2!(Kw9;N(spmMHTLuBFvc5KbXV&X zbKf7}??~xhaD-qciO%LtY%zVN-J24D5}kvUr&Txmw)NB-2*tY5-Ife?SwIrixg4!& zgs)4#=GBEo&H0lp&F!H+N@DF|H`%z!kInggW_2)+i|VUQB$G)ZN*+b_L~7A$daP>?DuF6v(vrXWP^2h7>AZq`~JdR=*}#}&zX(xtL~S1`MjAZK*Sf#*pALenJv^w2aOe`Feu9hk;xr$}|WBKuAw zkSUMT&A#6%X5Z&Vh41xc48N_pFPkZXKQ*QZZg8jk>4tz5nitjYrbV2=L5_FG7>A~< z?bpS)(^XNgw!e-M7c*TI4Gh#o2&G~rVCDmWRlVZxLqxMw!Syb*-=uh z?fe1uXXLZb(Ndh{5N zKYEPEjvjToA>%tuNBSPWlkkV9v=qS!eai28m$E|&2|fOxq~jeT>Cgg`8NQUJVsDZmhq-!7k8+z&g0iVLrgVxdInQpYUP&p_&Op@NljmAQlOZD z$&2umD5yI;bwSCPxu66lF7*W$b?OhuweecH#u=EjIHRz0mT~C3;Llj02`fEcVG;OO zo;`oc>h(yt%i*04Z~ddCU*d4D!#B9_YaG79kMHm$4);2IzQa8ZCml{Wehm)CeeA;L zJ6!JY42NS5i^Bsh-5!T`JG|53Z4U4MgRRei!_PRp!i6t$c!|TuIb7**xx+^~Jk8;W z4wpC_b-2*sJcq^MH(kDOIQ+W9gATvq@JkNwbGYAOzmFet{yv8vaQHrl?{fGyhj%!< z)#39UPCDG?aD&4>|FzB^cX*k@RSwU0xZL3x4#yn!%RABeOC63noagWxuiO54$>9Nq zpK-X~;Xa3VJG{%`9S(1GxX0lZhu1p1%;EVC&v3ZZ;XH@m_`NHS!vhZYJKX2+Zija| zyv^ZD96sM+za0|J-{kP=4#yo{=J0V2mpeSo;Zle59QNaj^S|+$E4RbXINbkFV!yod ze74aKIgSu3u>St(7C+(eV-EK@yvO0)4*UG#E`3j-O~1>9?{s*F3*X`VgZVbzHs|kk z=`!WD*M%n>_Va6T{sxDA{g$b}*1GWew`}{Za5$d9Z-w(Ob9jlvRSqBL@O+0W9WHk` zbKLpmoZ-S7Tz#kI*?Pwu-H$i$H%rg-d#c3!C+a&6jw1vGlN>yz4bk`t|NH!J3;b^j z{Oc`Ham&wUe)8QS-#sJt)P{X;zunEZ&}W*Cq5kebK1jCr31OZ za9|iv2;@1eH1+2L8dd=KVaiw2D&|+GOdhH#l*Sba&WkK)zEc6E&jZxI$oZ?CKMvM3 zwT@or@F`&B&s7eScblVc0>^*^z|{r40%6Lp_0agefR_0}hc5zaT`mSR{1QORb2V@{ zz|pwz-wf9B-3Dk~Ibt{TFN3vwPXZeLLqNkzX%uZAzs>A-eBXY%S2O=_e7p?anf{F6 zA-ehBjsMT4|7Xkd&+^ZVpXtxc|NmA0t{HZ|-{J87?RI_ge+sMo|L58^deFy~A$HK` zKUc>8&YT+8t#4}Ha8^s}*&Ew7wRa@W>Fi2&pS!td%Xv1}MF;&D{C{Vu{EWWc8C5$<}3t+{S{X;i4@UO?Az8$IqfV-EK@yxZZO4j<|EyE7c#=IA{Rw>UhU1#obU(BSB6 z9gaJ^%;74B=Q~{PaLnPT!{YEu^K8BP9qw~@m%}?9-r?{zhqpT1>u`_535Q!8Zg6<5 z!*Pd~IXvItn8Q(r#bKZSV5KeRfW!R`?{RpS!`mG0ak$OlCWqq=&u}>EaIlR7V*P*I zx#SzR9tUImKOL^^@b}tc=eG}B{_Fq#Rf{Z+yZS~Swf+=-$oj+WF!-Uc|NmZ} z_Ya;(#*^h9zs8yUP~rk^IL5Xc*XGSra=7(#rQbZ+PM*0gZ=O8opW^)2xb&l){|e`y z>im~D|48RQ-}!Y9s!!7Sbsw!yoAbLxj5ImF?$`Axb?f)Z)+-GzT=(4iobLQF-Ppr=j=U1D8J~8JXYrRtH{NtQI z>imZ|f1&dq>il`mKh62GoqxLXzd7Ib&tc9#==|3}2#zye3E}=J_ubw2+U9WSfKC7J z;t#p!8pn5{dSKm7QFD=XD~ z^KYJba>64|ud0d--gtlF-Mc>j%}=*h^`G(9^cTlpxw`D-i>uDL_J^OS9+~s8!|%DV z>dz1FT=JU>M_qN{MPI3U__*)i@x8Z~Pw9E&>8g%L2d?;4@8c(Y_2au1J@Da;YuiYdB(Aq-?;s>x6im^@a9-w{q0vA-S}T`U4Gi-&rCn#qksPKS)cvH z8^3?o!?!$k#!q_NS3Lfy>tdHhY8&=W@20-;-6y{LgnjAx8x&2+g{?M)?7Jl%qoA*D^bpF!*pR9S$`VZtjacKSK zi{HNb!sD<0%Yw4=)=#gV(|6Z#Q$PA&^DjE#x;^sN508Cr>)N~tUwG-~m)?&lo-^^OLw{WH+vVF%JLZm$Jk)o}v$tP#$1V3)ywGxQ@tw6dEjjhe z(IclX-#_!H%GGsuKe=)GRi|d(*7ws#KKR#{9-VySFSnj{%GJj`9KZOG(p4umuY2p_ ztM19Y=7YuiXa4l2C!cyO`zLoildtXDi$PDv@8IvO9U)#gIcY_K;pbrm|Ii=-7+yH}vtt|7}c`{7kRJ>v;bJ z{0(4#HSg1aUjX`XE1tr{@c?ec^MJc>E4~c42Djp?fnMB-?*tOK_1(MQGs(TgZ(!=X zdY1vOL)Z7(N=mF--&I@#==U=eUksGsR{V7!8@Il{H-gDYf3s6@1#ld6#mj*ixb?li z>jCAX_|HHSZpCAm$l|#5y}z@8(i-Xuz6sFp5G(!;u!A^?{{UQqTaE6=1DdbCBe)6B z-$PY=70^!{#m@l`;8y%g;4a+yp5Fh*-kZnOwEgk_r^(zs#}G+4RK{?SvD)jPRD^?2 zN)D1_3YmvaWXy25<{LuhDTKJ;m@{XV@gQWloJxa=ey{i1JNI6n-{bdvJbwTD{`lRa zm*;D(z4qE`t-bcz`LX?K?$1R3vT@d?pLEl3> zF%*h`C&o&ixEj(Tp6=T~ z5UqE*$Mrcx{hV0N3-^yB4Y4Zp6rS$)T>|m+U|Da`)BV2vAzF`gPprF-xE_h?A%!>Y z9|I3SGI+XY_AcZNPi);CZ3|DF06D_beZ!w2Jv{MtFZ4xt;_yCbQ+OgCaV{GTPrN6^ z)BU!u`igB!_tEA-*O7)etsnX@JaGXO4^Q_T*Y7X&L-3sB={{eV0oYIY;GQ%v0jdN~ z)c9llVqRhx^a!5rtG*1;_DDP!fc8Xs;w{Jxp6+-41}%gq_8EwN2u}=#wD5G_a7v&! zCeVGvv!P7H6R$vN@WcmDGCVOP7AvrLh@N3f%o&U}>4y6x!Kzy1k2Fd! z6ry#P20k4kE|>20{scWj|D^k%`wv4J%u5^#xxo_`LC)~RMj_a);EAmuidTb?(2_Zp zoXX)S8{&y=psDagH55ka!F5nbcT3I`cnv(!1ht1JRtZHvfhRVEs=*VRL&eC4$RHy; z(P9Mp06ei1lmbue4ef*1f*DX6@*!>vLmGJE?vdE0;E4yIb@0UNP$WF@F%$z&%#`AZ z<-)~yy0`x1D6u{1K6AIxsJk!j)dfSL5P0HA$QPdY7-|nstT7ht3r}nTDd34-k|z#? zictpQROk~taUDeI={W(Z&^>r!K4gF=rjA4Zrg$(NS_Mz69)a@1D?ty4#w)rf-)g*A z7rJM^2%<58PVg><`1k;3NS^L__n0Wg)4lJb!%7<1?u7EN^Mw`eQkl{x4)@Wc<$J$QQ7g2!C!FM48s z3NC?M;E5TK5}x=CQoze%PzGowJaH5h22V7fhkXY;JwM|tWP&Hwosa$uPh<T5GV|uo;R=W4u%C_O#v!wn)&&!`x@7uyw< ztK5g*ry!R|^k;A%M9ZRQfINlhJp{x_`|-U1@x;Z@Xn5iVC`PIwX1(xC?rUG^Nkc$bhG3fgFW+dN2#3GSl-& zJRypwXLdwGye^Bfx6@U84B=nXxBCk}*C;fd3rBzWR6C;^^$9a;sS2KG87 zwGWsM(ROVFE1VYNi3g#Dh$mivBH)P+Bu{(|1tH!9euEleyCa&P!7&>=u>|^xG{in< z(I4Q6K)ZY5 zc0_y+Df;7i7+|gYXcMF%wtzC=RbY3B-U&!7{}6o)>50EV&hQHGBNPH}0&UZ=?ZYd< zu20aP;WgmcrzjiwXJ}`r(g6HU0-C)*c@R&m2wi|zfK4GC(hw&>T6p4fBeo-WVgb|$ zo@n+G%Z68g!(O4S;3L2@P$PdlYXxMlv0QkfKa_wp#30B7Pb`FqJ*dx;`cgK&uR%2asB`huJSaI5&n5x;=3)Fndg2Nw1U?=-1*O0ftqV|3cw$Xx zA-odwffNJrY#p##5yl+E6YD{#@G5W(6oxd!bjS~$s3=C+;E6tvit+&iA$xc&xByCk zCpP?ny1^4WK#}ltoyc0K7@l}ThIh-t6Vst2cq3TO%uJ>Z#BUm)o4J|H9-in8Rf5-m z(NH2hF%?<`PpoZeCX0Y4wuZFu#7>X~UIR9_GULDFslZVX?RSWS%HSQgNJE?r8Q^u` z(6UGm9|0;WqI^M?oD<+j!xJ|`{_w7GP4S*^c;YT70iL+P8Ep$s+yceGCxW9|pgl3RM}VvF1O0U@Hy%6$MF!*9 zRiIgGv*FL# z1UzvUq=ioe(;=#t5v z9X#>=Kr>kwJh2$^hbO86kv}|f3zP;=tP_m#!xP=1ICwP}4K*5yaR5w$s=*U)Kr(pF z!J?Oe?Ill)kUX)f7JUPGD#4}DI?PLa0mZ-*Hx0!+@WgG97M^$50>! z5P0Hl$rJBN-U#j;kNz|Qbp&H3m|;Cwa_)g&0-p%}HWAy%a6E?&bca46p4fLX))zc+ z5Oe{aI1NgI*HIi4iFt|HkQSbJbPDPWPaHZGWq>Enf|T$&Fae@^5wAh(5KkG|d18^|iOpw=^Ad+ho;XYL z#4dBto>;C1oCu}j7>THdG7wKZ2VI9Jrb9{a#ENs#=J3SrPz*frBoqm60PD>Y`www8 zWRJc?JUSo80Pw^#r~v7Sa~6p0L$q3mZ3bzG83>!1tp z#BWd{Jh9m_Y@hJNA(AJqmOSx_(Zw>*I0E1C7SK!~)14o>;U6^@1m6ZZ*SuZtAv%`OfYY~|$z~#62OfdqMq*zEW`k(4Dx^{E|EOZdnd*b z#1pSVmEegPyHHjvi})GJgeR8YjeQwB(F58CPt-th@WkB^ZNG`2`yPy+$WsmWg`UC_ zmqMxV#5gD!J`wD(SE?^qZ6DeM-#ds7kS#p%^Z|@Z@Wcj*SQnU=*d5A%*MP}T2+|NI z9Y&t;#6^%AUJn*R^u0!Q#7s8tDEa`!gEx+28;4H=t0aqcQGy#zh&~>C0BP}?8`1d` z+5(=Ka2oq3cw!19gC`b1Cge$Me+J_xyc%>dU>>9)+NYYybnrwC6ah~xdj(zpImv^;5Up!1I0>Tf^+X+%hBU+!5`#c=#{hnS=o$=Sh3AMzdSY`(4X*-UK=hlK5e$AImQD8s$0yK2q#@Qd zp?%?rYA6Jr_&XF29}k9QW8KWeF$35&M=XN|^n>VkKVkqhb*v@lBbo+Jd;_WBiM_sJ zJ;Da3Qn~o;bIPIi6FF-*dp_kOp2^74MaUcEJ-B)y!p& z;E9RQ1$g3JC<)#O(mOKg_c!8Vr~vWA^-v~!JXi>|M;c=Aw2Ob6c11Q0qNn1^=g^Rbnq%r19?wGJAe*#u&xnL zYz}>*G+^DjXhZa2CFlw5LVDtrdgihac;W-d58eott&jS`6K6Q!eSYx7rBE`wo(NI@ zAwGtb$e*~-5$}_R*Mll2l&>$!0QPAhmO%?HfkKdmShFG0z!RH7YIqf>Z6x+>;#epV z@x<=3HgBKJmEboJNZc`et1>^=#eANwghbK<$j=lx21Gkc&jAu@Rc+G~a81Y1R zC=;GI4tfMn?9c~ghF60L{%8}-ORS?syTKDXK#uTg@Cd}mb}$n%Af7m82>J{>vGGu} z6+F=!nhH1)g|d5!MlWBG_TExW6M# zgklg+oC`(36MvUHahv3c8ImV{g0x6aw2T$!Re-8x*uNm2=m#0$i3^saUhu>?C=os$ z+yhZN6P0?bBlHboJII7IYOoNZ?N_z}`wEDTEr|^w4bl^jLG9s**P%x6#5<5Jyb&z7 zQtW%gUC>m-6XSo!*ac5al{_(1@+NTXYSas9B0&2!C_lUsyuA+ff;WQx8_<{FwO}Yj z^&)P99N~!>kOH1K;Sbaop12G$VO~ABElwQI6Tx$k9%+bgpqcPQ*NqsL;EDYqe|Taf z1c@Fc!fRYd~@EN-$&_#trxg@Cii6 z%tp|2yOck;269IJM8_SdBRsJMB!gFhJ@(T!iSmHUppl@3yD+-Yb&OFY#T5SPN3Z|MPwJ^sf82 zkQVX8LP!HII|_ds`vvmJXpC>JbWJIgiitE zE{N%g=OH?7yZ|=5D8@Ge10l;;Vu0A=_wt zp9KT2ih0tzAE!aIEIoJ-@<*CPaL6_6Q{Y2D%j+0R;gw*88z?_~Jh@ zTL=NSKvS1uUk^@66XREb=OJ2_5v+C(+bQJ<_Pme&46gxQA7I>scLTRQL_dK~0Ea$8 z+s;9GzleNncr^ptHvDza@eSGso_GqP zG8@2Enb=+sPn5k!{_w;>5aq80D}F#*#aPPJ;4-KYydI4Dh`tA}0}nz}P6OEQFVq+D z{@|X^7z^O{ftSBv-vOTrTA9SUXut@F)&)^7dEx_z*AbkMCHC7$P?aruVh)suJimf= zIbuHcU|)#l4FY$5MSCI5E-)RUWjzJE=VG1Ww+>%09HR2mJ3mL}V|+mR(V$R>{xJ`A z2aiD1{z+h~B9sI1F5q#=Cxh;%n(*MPkt9lRg7$=X5|10N5*g{Vz3!47y2_!7jsfwv)Q!+W5vriCmX z@x&5{j$veW7P5^H`DCyVqVFcvYFWrUYg@>!BinD z@9;*v3GCsFcfG=Ez~3S2hpWI3lK%u&XeP#21HB+>6K}9abF>5IwFTQl)K`h+@vid( z#8(2lKuMH8I0>Tsr-IG!F7y<{tH30P%1nF&QU1h=tAFvxl@xI^<$)|xqt;N1X z^lf7yb6kitV41e)1Mua*br7u!qIC!KGsG*v&mFO@;Z2~et5`N~Hw)QWcd@N5fVJ>G zb6T!FxB^N-`gm{%vyk0`4*`AE=&SI=U)EB%Bsp0Q|1M!Y;8YhFmC`gNV9k>yqKA8rZPsg@| z_-fz)h}y>=96G}S*9D_q;0%b;&jc&a6zftA%!iCfQvi0KCC=*$?u97*KCtgRytA2p z3k4g@M_+|+1P+8~eFcG?7ozTn_XYPY5`7Z*4Wd3=40c&8dJnMN64V9hiS`iX;{l$7 zDE$Sn$})_BNaF&wUXD7F2V3hU53Yu&zU#n{6=J=JO;%!?MERY;m(V)QYXXZ`qfOw6 z4r{P1ct@}|MD_ItM@oJ)xCo;Bmw@HgVhlujVnc}H8-c3zSVxE_9)&1A8C4<3fv!zY1N;?aii)xedI+j8_(a83f+1o1JT38LdMV&Qf% zz8Ji`7wv=iRPgshqF)96c?4rV;!{AIB#dM5w&2pEXb1Rp;D%!svZwF~;F{y87sZ2@ zAu4k!m@oMPup!>(P4V8~r4;P9C=D2Q2K9s|dY;3&p)}xJXeN9Nm;}Ya6Jsul+Y7M- zqV2ufC5-bBZ!1tQd19~2VtZ=9%v96``4Ep?5!ZV%_zt3ZRaenxu8Dop1)K{}d_36i zI{H7nKe!yCcs|F-h{oo02DHN}gz* zA*LtVOP<&kdW3w4y(Lea3Q_*VO_C?3NSd|z^Rhgfm3vxBW<@$mnD{dh-zvZbp#RQ{T$W4u^x^Z-&mW@3f#rvkS335Sr)%CyIR#pSRUg-fmrLmE$sE%kh~FKW9G1qZ4_w&29v+ zKwnpzD2iUbn=i^{<hEm zCpOb~xJ8>Gm1)_vP^xUXqM%1?s;`69ePre9VEq8dmIt{XKvJLEFMC*=^<5O>7|+|s z&)pw0VwNR5!sl$JbEy2I&F?(dkJhnb?(Pmqe+8)uxP9+{|A^0wNzM*6DQX866sV| z%n8$IW$_h4ReTRmtzy+nY^mA}#dL`GcPeVZ*9N6ehu(O$zT#@#mPhispZAdWyy6{w zwgktU-e+IBWOtG)oX^w$m1v$!DAn85I?@{1bdvjHlHC6WIhw3E8!33syW+jb*HJsk z4@uElq4NINJh6d@+dYgp5_m^nppoHxDF4Xo#-JT|BU-IP-txKUc&NYCp5_!wd3-z> zs_ztg#k2JjG_}aUYk<>*^>!Y_S*<)*yk;<+E6vEUH=b z*;d$2eB|D#K6hXG#EPZ;=gjXPV(^gWr)Ky5S%UYcFy&w6^^L7v6O(-_202E&A7>>^ z4Gk@=52pK6DxKczf2Y%?y$cDj{%ztp6(492ae=21CJkfFeV0&qVYB+EFS=0f`vXNK zCI86Z=6!|I@#_qnd^vta!cb{bC`R{)ee4};-K-*NeD{NIQ=6u6@`aO-2BYT#r15q* zM_Y~#ZG$1uo)X4hjcSg;)|SuozK6p#`8*GvskQabsK`o~KbYpH(HCuejusx1LK(Z- z?B@YoH$#KAHv;0IE%4~}=vru3ahdOT6{0#n>qC7AZ9(0ghA@TwSqv8bG*|?@#z5e- z4>@4kCxneihYc!#wp7~GZ-Avko0Hg-wQr!jh_+tM`Ol$E9M(4Scz^5R;&fzLn#RBO z_`m1DFh@h1;y#42DZl_()f1;FDO+3`K+2{>=L$2mkk=aH%Mc~)2@q2BVb=ic}IcYfZn zHd`otML(?M)`lLjkI=QIAV%C{j)C)$dtezhD|udN@_FTd=2ceAi#C|j@?oJJctYBT zw}6w!G)6B$mzl!@GtmuE2YzUvz@Y)WjW?!v#9Cj(emOJb=J%5K2eAc6+b8mSPy1_L zvlnpk7~C~Py{=G+rl)c&?3a>{aZ4pVKr~>&ujWNe3+dy&wLQ*HvRioArpL zs`5jEB?v?gMC?QuM0v|Stro&gs!q*i5C^9Bb;M25pDw1E8lDpc__$95cSFpYgX+7kg>GFB~XfZzWvFD`<_25Mm z>thv-c;hy6!?_*q5=DT%91 zO*pBH0_@K+9>RL{o@bckOC=~>J{tBAMpfT=wJRX4huqV84}$;fK~$}~naN4MF{GEgX#!`D&eEgc|t<~e?}?npT- zweIUq$p`#}SuV=wPr?GQ*sC~D5s!*XcNDaID^8=sFpSy!$gx=rYK`z`Ec87cJXxN_Fn`d6FQgiB^`~8lQ%^C~TZAt_ z=g@}K%+VL9&Ck<#gj6=(JXMgDhSQ(cAC?(DAK>eWN37KuAk#eUd&x)te{3JtkHo3lX==tTOzrsh_U-LzwHxt~4Po?T zZhBX=Iu1jFVk+{SNOK*axh$!@{$1{W_T>Nk{}(NQ?M{YGUxs4>8O9kI#xfZOY8m!b z{CSn-!TVGj+Z{Xol z%1Z0WWAR^U{Y%3IQay0rFaMO*7h$Q~r73BB{PHn&ZvK{)#<@*v^QA-KSfMm5QT^|* z>1TQ|-uQR;|7HPra>&o={rKnp&#*Xu+RyNY_4K*&Gc2aR_%po9(PyQj&$*vrK7YY- zgP4y@_MJM`|9tqDY{VLv*ghpu|C0odgs5N|NBL@-7^8?9ucr%$iMtHTiRy%#zY}G( zPOK#=4V(Yq;XmeVChF1?w-6H-Y}!VQ4_v&RX!4KTNtDeE+D(jj)_E^cH>%-&qCr*R zAW^k$QXAE$7d=lNu! zy7S%>MAev;CyC0`secl6e!(fkw5nZB5w&F-o+hFkXNam5pEwmZBY3+-%zntJo9A_w z&)4KQr(#?Kz8*|{R&y#ITAZip%Hr{yiRWH$YMb`BK=G!wCpnF88u0a**8X?S2vrHE z`bPLAN@tWm;4~GeFH=~yXfJ2H!6uc$+W08Wv_|ha^#l9x{-SLAC#NFC;VNI=r&vz) zl^jle@4#ymA2I(NrzWiNbqX8umvgGyK{ApXrG%D)|fBhH0(Et;R^k3 zQM}gn1gCoRZ@eGtoz$F~RrpJCt6b4G=kS5vNLZf-~_|CZ}P%?OjTzf9A!hZ7_vX>W?UW+U?Gq`W0h2 zb*(pW8jfES!*#MajU(*SDZOHq7pHpL1Ww)RjhwPkshmcK98RsF_G3z~S9^<0m>}{~ z9H+tdGN-C>7N@LEttXT|BHx2ke{`%!|8<-?<5@A><0GeObG4_GKK`LQr}1kjC;A^} zgfW>@cJL)<{ICkoc>X_Haq6Q2IhF6`a;n7+6J2QxyI$SIkj=k#qegvso9|6#Q4Ceik!fi)^{$auE{D+O+f;u z_S8|%_-U6oRm~o9DjvNP!_x~m4OPp(q2(G9YH})@HQ|))@5rfj?9QqAJ&-f)+bB-c zfSH_$`iwLmS*JMD4&C6?Jb%U+Z~j?~uk(Y`)ao~WykipTaQ^G~ht>mq z26oYy2QNJ8erIe!Bixj zg8cs7Yj65FOXWD^Uh~b?J$p}oclWxa8Go%$b>UU>8;9+;bP%d8+C3*A1S63C%d$*b3J;GTi zzR}?K=Q1ZDpwYy${-|KmEJU2QD%R7{{_Z{FREZubTdDmUtg?C{o2RE;;E?Ah= zdgHmmSEw-0<68D6FJV%Zm+qH8R}|JIVuT)c00p~_S6-?{SPxgSo#!xa0SHMX}Awx!z(Ps_Fwd{keTZMN$uM7AB(Fs;0Y zkRF&>HSd*D7+gozI?~+aKD^bKxv!qJ5iAc*?@?9eAmlnWOfnvK6Uq&nUH$j5&4ef6 zeGZMZaThw-EpA=B{x`wC)|ORO6MIVQ(Ng#}ea3FLn@+-jN58F-*KH)soVRdLQc2v{dow^H+Ca-K>-Q7bt^sTD8MyQ7{H10uoc`H}Je~;W| z9@; zE%HC_T3@*4aOYUTj2^<1Sv4=#S??v(T-ou@x6`@_7lqKjy7+b!+JB9yHn3J#p<|^l z`E7f47iwAG2sa;GS+Kfwv(3@AOt^GZI1^RWLh65laQ@HSh9BFs6b2OLJ$P5qOK5+j zTdG@zudw3O`8^NKdWm^kzCSCYm z>&`-*86A8d6?h2Vn*z#xPE!kQAGe!5HLSK!d~(J81w+~j6W*Pag}T%imeqQIOT{_} zWlw~rTLUG{&xUy}4kbb$S+4_M&!u0m$FI(5`DJ-${%{twytKb@ZwQ8>3L)bXYx5vR9?WFB! zfMCBQs#EJj1B7aL|HGz_gN6JFE&p`d+)3z@d}hYtJWnC3@id>QuYv{tjfyhHn?b^n zM>FE1jX^?k4cm29ej6a9S+q$%)}*me=h*p&v#$9IkEd3w@V&67u&mLA5fk*m!lZIj z*L-O?NYL!RQ*7PELHKqy@ZrK9E<&+ou$BB%ps@dh-e$%C+bKKkKPN-3P z(LkZc&OaYt`K!J#Ut_kVyuQ0o(=KpHlP!IOdHcSb=1uJ=thm(iUU9F%!u|>&uR1#R z5$?9pH?BI|PjGtJY{&TyfkN-img;9a0)_ICH6GTf?I~366ZJhiF-WLdzvm6jp^kz_ z`pJmfJ7G(K#r8y32Wfmz32uSI2KE~fEW`%8 z=P%vWT-as%*wt9WU6|d=a`G%~piq3S*1HS)`v~c`hfaLDey|W8zD!m)(NCCH{#yAz zCp8sLZm4*>M|`jlxn}KyG;@Dpl|KFY!mc%h`Y%rGtv=32=+$md_L#R_g$n%=g8PK_ z6i!vjc4?8;Sy(vUa`??#U4>--W-&{ScMz_0Kj-+ijhFDk?pgkpk6uE*zIg${D1V_x zt*BwkUfTD*Il3aQ5ya^g3zRvdXr8f>Ueu?oC^%5f_Y9y*8DkRDz8ox{V zNQ{@Lmlz>YBT+3;DN!cTR4nF`CNWWByhNSE2#FerDv3&oGKr=lDL;t@iSZKk5+fvP zC8{N=Bq}A!B$^7Pd?gwr#!J*o)JfDz)JRlIR7zAxlu0yxlk%5nkQgsfFHt8kLZU{Z zTB1s#Qld1aFN~1FT8SEoYKba|N{I@IvR`QWDwRiKnnZ)dM2YdgP%njb z5+fvPf1ySSt0k%=Du1Cu3dZEWfBc!nQ7iy$%Db-R~^$V3!xReShTuPY~Hkriwl+q}L zOPMBxOKFh8rA(B<@xM?ng-fZE!ljIm!ll$o;Zka(a4FSNxRfd>TuP-BE~P>Wmr^E$ ze^UHyfc{q+>*8ODU@BW|7G>1^4-?3smqtZDf$mZwX%2$hGiwEGs3xw0`Ve!}F6XY5+DKUQ=Z zv?g4`4&Pi|*70Kyi+byloKt@|bK{@Utd7wPe*&{_Z1-w;-~eX1%2j>BB7|K(YBBLI z!)Ug(M{$nr3NP06W}>lAdN8vLdGkRQFp|~2*9m{_?7+y;S<4RxvCvH2vpS2lm&O0X8op(2eU{~HZDmU!K#lk*o-ptV}9Qr$_IBG%PeMGzGrwogf+id zVZowSUd-aLOMDNDaMr(3T1woU0Zh5pKY7*yE&K2^xchJ8hqKhP zb$k3dE1X#zoxNSXe;iZyu8=tDdl$C*k51Q?z4K!Uc({T`1uZ+D+bC%Hx#6tab;IGX zxKS*+OU{WOQya4inq#ijZ}ns+K8}c8{W6fbZg@IiNY4=V!kX>rem$JcaBOnzT0#S+ z5kIWvy44*#Dh4z2yoTB+^H7##9o&6hoiXfHRd1(v!#lAr)gSKe8ajY2yg4A>yXi1i zW_O>ihtGzyYOaT>x*lrHViqYszSR4%v6p_R{M!#@vujnpzQYsK+ecSzAKjXjJ6^-d zYg|9pWchC??`jQW9;SZ68I*T-`AdQ6@6_yF%^tcVZv)u5VbcyCOC8S4zq;Ogd}1tX zS2WMRw_Pu0KKkL^L!Y&*fpXgr^H$+ZZ_z-#Z;l&lvE@`uUX_8&dCk`ET{ecYwYu&G zC!;y*uIqf%vXLJPX94Da^52V+hiv9Z0 zm*M0y{)V!N#|+Jzj~m0RX6A&y3h2$uaR-B^c?fef<#jP1H;!4Y8&J>eZ9gVI6n)Ef zStzTbG{avjR`={I%lyhgEO=c+$<)k|tmfA9-_xggv9i-v2i^QIguU!w?ipx3mW>z| zJ<$~F$ISaYUaDIa%IY;e&@}2&JLcv8d1TBRtT#6YLu>QVtV+bvx!FsD9a8R z&Z^i(SGJ9A$+U`r<3bt*vxix4W2#t>W&xI|rY>#zu<~|2Kb&?8Wywo|p0N$C?9Sv3 zHuk5rtiAWLFuU4g*+UN{{syoa1EQZ)tuc~m{)m3x@p3no=d178S{uSD^G{1=`q9a< z;PYViqn`15JtOv8^VeMeaC`tusoUYk!w(~wzKgDW|C$=ss_D`?y*q`nH8->N9jf1% z&6$)mZS$+4>_+A0VYf|=tVf+GYZCt$%wC1356TE0%Pco^j&E!^kkvDk8QkOeD0Z`# zlVwIR+Tp^r51|7_vKU3@a`j>~to`}>lZ2tTF0;FONt| z|MH@%dV%5J=}qc?g|C}_PX95d>2NQb0sowC>fC((&vH%84u3xJ>-STo^NZtc|DV&v z^%wm!ERJW}e+ggw85Z;5=iy4T1o?51YJ)RpT4DgF!gB$q*8iwD{nKl4x>;3z+!(*1 zGp8zf0;e%>n;2ejk5lJbh95U;r?(gBIf~P?aT90!ygQt-A7%LWgT!)foT{DUMLyZd zsowFNQ(2)p|GuLw*ON1G>wM0%$7eVr4u9j+GpD^C3)C;q)$pB~1kezQ*uAIRcNY}bze zPN1JNi&MAa0%t^MCI0(FqD4PW&8SVB`pubQ{MOd|_Yu?NC{BHy>zrwS)a1X%D6>Xz zrYVnes+*PNzx$-w`isB+yxq;IT3gI%Y%c!p6n`**|ITErRmiECtl__3>CWyf{XGls z*LeQ)tnABZp^5NtOVfSc!s+>y_3b`tg$XS$)~S*+QmD~Up;)@9t6+ELV}d3y+udSL z=$XJiV}x&~PvmYb3=>+8nf77Li%>xqsN1_LO}!FKUI{xi=y%d>Adnyk?%e82 zae#2KQ^p{dt6{>+t|#A}el$b~Kl#1>=JEkT^sduwEBW^lDnxc#*ugzesJz+6DQ^8x z!8O$^-Dy!M+UwclGW|LUJyione{M2VSYWYuQ%Z7U!O^|O=D3t`LYr5wbuo24g`;hT zU%C2csNh&-U`CUyPJ(`){CnQJe!|G#P7U07bf~Z;>aX0Uo3uiVd%t$skG%x<%sPuA zO;v<7ojlrauP{m&*Ll^Ntp`U7Ys)sdqkJ(^@T_B(Uqv1wR7~prn@|2o!CD*BbX9s! zp?}wFxsRWA7kt0QJt}by7B zm0r*H_kdt3`P-8-Mg2Qm@XPeSFOd6xalIO{|NHtjzMQ|aqu{^J=l(zbp8KgcJk_uJfxpv>-B7J{ip;-e@?%5 z=_IbFTl6!$xp!7s2OPhYR@PK9DAh&h_A^`>5B_&O+<(`@QNQ@_dbt0thogR=|L=OZ z7t{{_T@Ux)^>EY={<|LTzw6=tyB>~TFZkc}aQ|Ho_uut!|6LFF-}P|+f4Lq`I{(eY z^WP<`N}(A}ftN_N)83XVey|M9+U<6cKUm}&vnw43{9qI9o=#iQ@dvBJKOjH< z{evx@U-0_DoA2yu?f9o=SHH6-(I+Nr4}52fqv|+hul&wjoRj^IP5I6aPne|J7xY~^ z|NWiW1r~2}Zup%=8pbX^TIoBxbjBlSY<4lL_=m-!{*Q{;yK81^#+)u@D_#a$9Z4u= zofj7kY!F*4o&PRo^L?yuuktTurh@Zk%NgS1n|C&Nb+XB9E4&!=C%8eYVD)yhnY?pefc zmU-08yIqlV{=0}J)K72Oy?haCbZ|?`{Om#&tX~zC`J|B5inwSOaj}qn|G1z*4O}&8qaW{>BPzfIT~Xc=}qm0v4Yz$E;fuOy{2h>HK#AQ}Ywx`K)%YfxVsZ zd%Sr5JD<%oYrgWx>3nwnld)X={rN1m!?96&{>W#k2~(qe7w0qUOB*Veo0iWG?RLp{ zIwGHqnPhhEYX5xc{C7TE`lHiDlS@8JdEPaukz+n9KQnI3)T;T?`R{yILz`V)o1Mol zx9c)0|79K<5sg@_5|ITB@ z%^JIe>PF}g}qx`FP`3||P zyVb7#B~5afO~I=VWozfMix(=ttS?8Hpa0HffA~Hdx;*DA>tNMlr}52K=Ii|QbeBh8 z+1P_l3zDyXWiOZScqW|s$^y^yiGOhLE9+)9d4JT_uWUrx;ny8je`Pvvv-(yGzp@$C z4tTws{*{Gl16*#7`N}rj%DsFI*Tr3(eEC&+->fUz> zZT6M*4hU{=6xYR7;~&gF{I}b4$|8N$L}pf$!^$4q-g)`w9A>^dBgOeu4!bmI&x-W> zIqcou840VeXfOy5_LMDFXsCI_9v#+Tni% zwa8&-6ivImcF1AJKEC&#Vw=PCw^e2}t#g>x{6dpdvm6%2Pk?8$?zewz>G?5RI{%%` z;x*08D%=O1qk9xx$!3+?4P5r^bT(7-6X4m*>TJ$R``y`WQIY}D!&6qw-q<%=I{%%` z0<|^P9v8CNiER1Q;X_FAFrFu-uCm>O|!{n>4p)Nyeei(=fAUA z1U~_u#e9>a+`fLwVv)(r^~kVofnlEo5jpp6>FA;WHIZ8lLprb%wkvWf8TbZcNTNKQQ^12-dW7i%Vp_rEQ?i6 zZG*oow$Jd_qFCoF)><{_oxejCYv8@JrpgY}`6r9%6lSN3$|7v~p)mb0v8_%=3jfMA zF@46VHE_o+l|Keg*kI zeN1@fE7DBes@uA7Yy8$-TNAg+l>b*dcL*aX5JUkKi9{liNF)-8L?TBbM-GK5{X12k;v=4&7Ih+IemkHbW+LtKkZ1$?WuNWfqv?jb{~n`+v{EjUg)b( z#VS>~DpjRwH`BP8NiAwqhq{zcA;pxEH@aQLpZ{jShX6u|Ach1|$RLLTO1MDPgKm#p-hGF3IV#c;r*y@~p{oC!BJ|ITu{=jqhCZgP;83hJiJY zJn_s6ue|fYCtvJ|FM)&-Ng}Cal1m|_+@zAb)bf;{G3M>pw3Z~D-e_DyJFlbYO=rZTm8n#O1|nZ<18FqiRdXk(k& z+?KYowQVd|ZAUxV*)Ddqo89eUFYEPwAM{}#^>Lr{X`l6VzkX~V?!LaCcLVPR-VOXG G4g3P$qKU2m diff --git a/testing.py b/testing.py new file mode 100644 index 0000000..13472ee --- /dev/null +++ b/testing.py @@ -0,0 +1,4 @@ +from epyt import epanet + +inpfile = "Net3.inp" +d = epanet(inpfile) \ No newline at end of file From cd6f469671a45a33638a6c7fcc5786cecbe8f7ff Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 8 Aug 2024 20:36:51 +0300 Subject: [PATCH 002/183] Update 2.3 EN_setcurvetype (api) --- epyt/epanet.py | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index fd614fb..9d0da57 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -14156,6 +14156,18 @@ def ENgetcurvetype(self, index): self.ENgeterror() return type_.value + def EN_setcurvetype(self, index, type): + """ Allow API clients to set a curve's type (e.g., EN_PUMP_CURVE, EN_VOLUME_CURVE, etc.). + Input: index = data curve index + type = type of data curve (see EN_CurveType) + Returns: error code + Purpose: sets the type assigned to a data curve""" + index = c_int(index) + if self._ph is not None: + self.errcode = self._lib.EN_setcurvetype(self._ph, index, type) + else: + self.errcode = self._lib.ENsetcurvetype(index, type) + def ENgetcurvevalue(self, index, period): """ Retrieves the value of a single data point for a curve. From 51917491d9a6484ec462eb9d5e7d46e8b8b9ebad Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 8 Aug 2024 20:37:05 +0300 Subject: [PATCH 003/183] update 2.3 def EN_setvertex api --- epyt/epanet.py | 17 +++++++++++++++++ 1 file changed, 17 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index 9d0da57..9bf1f65 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -14168,6 +14168,23 @@ def EN_setcurvetype(self, index, type): else: self.errcode = self._lib.ENsetcurvetype(index, type) + def EN_setvertex(self, index, vertex, x, y): + """ Input: index = link index + vertex = index of a link vertex point + x = vertex point's X-coordinate + y = vertex point's Y-coordinate + Returns: error code + Purpose: sets the coordinates of a vertex point in a link""" + index = c_int(index) + vertex = c_int(vertex) + x = c_double(x) + y = c_double(y) + if self._ph is not None: + self.errcode = self._lib.EN_setvertex(self._ph, index, vertex, x, y) + else: + self.errcode = self._lib.ENsetvertex(index, vertex, x, y) + + def ENgetcurvevalue(self, index, period): """ Retrieves the value of a single data point for a curve. From a238034f424ce332374e5c48037e711f55971f06 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 8 Aug 2024 20:46:33 +0300 Subject: [PATCH 004/183] update 2.3 EN_timetonextevent api --- epyt/epanet.py | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index 9bf1f65..a66d76c 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -14184,6 +14184,16 @@ def EN_setvertex(self, index, vertex, x, y): else: self.errcode = self._lib.ENsetvertex(index, vertex, x, y) + def EN_timetonextevent(self, eventType, duration, elementIndex): + """get the time to next event, and give a reason for the time step truncation""" + eventType = c_int(eventType) #pointer in C + duration = c_double(duration) #long in C + elementIndex = c_int(elementIndex) #pointer in C + + if self._ph is not None: + self.errcode = self._lib.EN_timetonextevent(self._ph, eventType, duration, elementIndex) + else: + self.errcode = self._lib.ENtimetonextevent(eventType, duration, elementIndex) def ENgetcurvevalue(self, index, period): """ Retrieves the value of a single data point for a curve. From 289026264d9af515a94e2e028f572389b038a3f5 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 8 Aug 2024 20:47:40 +0300 Subject: [PATCH 005/183] 2.3 EN_getcontrolenabled api --- epyt/epanet.py | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index a66d76c..1718b6f 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -14195,6 +14195,16 @@ def EN_timetonextevent(self, eventType, duration, elementIndex): else: self.errcode = self._lib.ENtimetonextevent(eventType, duration, elementIndex) + def EN_getcontrolenabled(self, index, enabled): + index = c_int(index) + enabled = c_int(enabled) #pointer in C + + if self._ph is not None: + self.errcode = self._lib.EN_getcontrolenabled(self._ph, index, enabled) + else: + self.errcode = self._lib.ENgetcontrolenabled(index, enabled) + + def ENgetcurvevalue(self, index, period): """ Retrieves the value of a single data point for a curve. From 914005824e1adc7486c05bc848cb99d88094b0b7 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 8 Aug 2024 20:50:00 +0300 Subject: [PATCH 006/183] 2.3 EN_setcontrolenabled api --- epyt/epanet.py | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index 1718b6f..a9de115 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -14204,6 +14204,14 @@ def EN_getcontrolenabled(self, index, enabled): else: self.errcode = self._lib.ENgetcontrolenabled(index, enabled) + def EN_setcontrolenabled(self, index, enabled): + + index = c_int(index) + enabled = c_int(enabled) + if self._ph is not None: + self.errcode = self._lib.EN_setcontrolenabled(self._ph, index, enabled) + else: + self.errcode = self._lib.ENsetcontrolenabled(index, enabled) def ENgetcurvevalue(self, index, period): """ Retrieves the value of a single data point for a curve. From b469b2cfcfbf2660b46b7800030c8bac7d6430c6 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 8 Aug 2024 20:51:42 +0300 Subject: [PATCH 007/183] 2.3 EN_getruleenabled api --- epyt/epanet.py | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index a9de115..ea768b4 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -14213,6 +14213,15 @@ def EN_setcontrolenabled(self, index, enabled): else: self.errcode = self._lib.ENsetcontrolenabled(index, enabled) + def EN_getruleenabled(self, index, enabled): + + index = c_double(int) + enabled = c_double(int) #pointer in C + if self._ph is not None: + self.errcode = self._lib.EN_getruleenabled(self._ph, index, enabled) + else: + self.errcode = self._lib.ENgetruleenabled(index, enabled) + def ENgetcurvevalue(self, index, period): """ Retrieves the value of a single data point for a curve. From 203bd4e32d13d6ce0a79b65e2e07334d50f2fe6f Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 8 Aug 2024 20:53:04 +0300 Subject: [PATCH 008/183] 2.3 EN_setruleenabled api --- epyt/epanet.py | 15 +++++++++++++-- 1 file changed, 13 insertions(+), 2 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index ea768b4..0b450d4 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -14215,13 +14215,24 @@ def EN_setcontrolenabled(self, index, enabled): def EN_getruleenabled(self, index, enabled): - index = c_double(int) - enabled = c_double(int) #pointer in C + index = c_int(index) + enabled = c_int(enabled) #pointer in C if self._ph is not None: self.errcode = self._lib.EN_getruleenabled(self._ph, index, enabled) else: self.errcode = self._lib.ENgetruleenabled(index, enabled) + def EN_setruleenabled(self, index, enabled): + + index = c_int(index) + enabled = c_int(enabled) + if self._ph is not None: + self.errcode = self._lib.EN_setruleenabled(self._ph, index, enabled) + else: + self.errcode = self._lib.ENsetruleenabled(index, enabled) + + + def ENgetcurvevalue(self, index, period): """ Retrieves the value of a single data point for a curve. From 36ee4d8d2adc189d2c1e5f106e059313ffd4cdb5 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 8 Aug 2024 20:53:35 +0300 Subject: [PATCH 009/183] 2.3 EN_openX api --- epyt/epanet.py | 16 +++++++++++++++- 1 file changed, 15 insertions(+), 1 deletion(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 0b450d4..fd63e8c 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -14231,7 +14231,21 @@ def EN_setruleenabled(self, index, enabled): else: self.errcode = self._lib.ENsetruleenabled(index, enabled) - + def EN_openX(self, inpFile, rptFile, outFile): + """Input: inpFile = name of input file + rptFile = name of report file + outFile = name of binary output file + Output: none + Returns: error code + Purpose: reads an EPANET input file with errors allowed.""" + + self.inpFile = bytes(inpFile, 'utf-8') + self.rptFile = bytes(rptFile, 'utf-8') + self.outFile = bytes(outFile, 'utf-8') + if self._ph is not None: + self.errcode = self._lib.EN_openX(self._ph, inpFile, rptFile, outFile) + else: + self.errcode = self._lib.ENopenX(inpFile, rptFile, outFile) def ENgetcurvevalue(self, index, period): """ Retrieves the value of a single data point for a curve. From 0b68449a254cebb7af1e59ee387fe3534c490922 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Fri, 9 Aug 2024 02:30:31 +0300 Subject: [PATCH 010/183] 2.3 EN_getlinksvalues api --- epyt/epanet.py | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index fd63e8c..0500e7f 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -14246,6 +14246,19 @@ def EN_openX(self, inpFile, rptFile, outFile): self.errcode = self._lib.EN_openX(self._ph, inpFile, rptFile, outFile) else: self.errcode = self._lib.ENopenX(inpFile, rptFile, outFile) + def EN_getlinksvalues(self, property, values): + """ + Input: property = link property code (see EN_LinkProperty) + Output: values = array of link property values + Returns: error code + Purpose: retrieves property values for all links + """ + property = c_int(property) + values = c_double(values) + if self._ph is not None: + self.errcode = self._lib.EN_getlinksvalues(self._ph, property, values) + else: + self.errcode = self._lib.ENgetlinksvalues(property, values) def ENgetcurvevalue(self, index, period): """ Retrieves the value of a single data point for a curve. From e56468c8eb4576e246f896db339bacfd96f42c6f Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Fri, 9 Aug 2024 02:34:45 +0300 Subject: [PATCH 011/183] 2.3 EN_loadpatternfile api --- epyt/epanet.py | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index 0500e7f..5fe1cfb 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -14260,6 +14260,18 @@ def EN_getlinksvalues(self, property, values): else: self.errcode = self._lib.ENgetlinksvalues(property, values) + def EN_loadpatternfile(self, filename, id): + """ Input: filename = name of the file containing pattern data + id = ID for the new pattern + Output: none + Returns: error code + Purpose: loads time patterns from a file into a project under a specific pattern ID""" + + if self._ph is not None: + self.errcode = self._lib.EN_loadpatternfile(self._ph, filename, id) + else: + self.errcode = self._lib.ENloadpatternfile(filename, id) + def ENgetcurvevalue(self, index, period): """ Retrieves the value of a single data point for a curve. From 838847e52e08805a33c68dce525017393c544c4a Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Fri, 9 Aug 2024 02:48:41 +0300 Subject: [PATCH 012/183] setCurvetype() --- epyt/epanet.py | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 5fe1cfb..f9ba9ba 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -13418,7 +13418,11 @@ def plotMSXSpeciesLinkConcentration(self, *args): plt.ylabel('Quantity') plt.legend() plt.show() - + + def setCurvetype(self, index, type): + self.api.EN_setcurvetype(index, type) + + class epanetapi: """ @@ -14266,7 +14270,7 @@ def EN_loadpatternfile(self, filename, id): Output: none Returns: error code Purpose: loads time patterns from a file into a project under a specific pattern ID""" - + if self._ph is not None: self.errcode = self._lib.EN_loadpatternfile(self._ph, filename, id) else: From 2908856eccc23e7eab14e75f1eacbcfa966ffa9e Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Fri, 9 Aug 2024 02:51:14 +0300 Subject: [PATCH 013/183] 2.3 setvertex() --- epyt/epanet.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index f9ba9ba..7b6866b 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -13419,10 +13419,12 @@ def plotMSXSpeciesLinkConcentration(self, *args): plt.legend() plt.show() - def setCurvetype(self, index, type): + def setcurvetype(self, index, type): self.api.EN_setcurvetype(index, type) - + def setvertex(self, index, x, y): + self.api.EN_setvertex(index, x, y) + class epanetapi: """ From 9bf105e400dd6cff03bbdfaa156ceb0c17e1a6ed Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Fri, 9 Aug 2024 02:52:51 +0300 Subject: [PATCH 014/183] 2.3 timetonexteven --- epyt/epanet.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index 7b6866b..1bd597b 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -13425,6 +13425,8 @@ def setcurvetype(self, index, type): def setvertex(self, index, x, y): self.api.EN_setvertex(index, x, y) + def timetonexteven(self, eventType, duration, elementIndex): + self.api.EN_timetonextevent(self, eventType, duration, elementIndex) class epanetapi: """ From e240a8979317d6a057c4deb4ffe411ac2cdfab71 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Fri, 9 Aug 2024 02:54:51 +0300 Subject: [PATCH 015/183] 2.3 getcontrolenabled() --- epyt/epanet.py | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 1bd597b..c645615 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -13424,9 +13424,12 @@ def setcurvetype(self, index, type): def setvertex(self, index, x, y): self.api.EN_setvertex(index, x, y) - + def timetonexteven(self, eventType, duration, elementIndex): - self.api.EN_timetonextevent(self, eventType, duration, elementIndex) + self.api.EN_timetonextevent(eventType, duration, elementIndex) + + def getcontrolenabled(self, index, enabled): + self.api.EN_getcontrolenabled(index, enabled) class epanetapi: """ From bb6e63ca5931217adb2233b81f031ac3ba5588e7 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Fri, 9 Aug 2024 02:56:37 +0300 Subject: [PATCH 016/183] 2.3 setcontrolenabled() --- epyt/epanet.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index c645615..9dc2f69 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -13431,6 +13431,9 @@ def timetonexteven(self, eventType, duration, elementIndex): def getcontrolenabled(self, index, enabled): self.api.EN_getcontrolenabled(index, enabled) + def setcontrolenabled(self, index, enabled): + self.api.EN_setcontrolenabled(index, enabled) + class epanetapi: """ EPANET Toolkit functions - API From 2845ae619db94054dd1701f752db722d2f22f857 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Fri, 9 Aug 2024 02:58:16 +0300 Subject: [PATCH 017/183] 2.3 getruleenabled() --- epyt/epanet.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index 9dc2f69..1a94a41 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -13434,6 +13434,9 @@ def getcontrolenabled(self, index, enabled): def setcontrolenabled(self, index, enabled): self.api.EN_setcontrolenabled(index, enabled) + def getruleenabled(self, index, enabled): + self.api.EN_getruleenabled(index, enabled) + class epanetapi: """ EPANET Toolkit functions - API From d8bb7c48fe0e6bfe971d4695707aa2c06df561f9 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Fri, 9 Aug 2024 02:59:49 +0300 Subject: [PATCH 018/183] 2.3 setruleenabled() --- epyt/epanet.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index 1a94a41..0cc35a5 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -13437,6 +13437,9 @@ def setcontrolenabled(self, index, enabled): def getruleenabled(self, index, enabled): self.api.EN_getruleenabled(index, enabled) + def setruleenabled(self, index, enabled): + self.api.EN_setruleenabled(index, enabled) + class epanetapi: """ EPANET Toolkit functions - API From a3bb023584c3c681e25ccd3d291a4431f3467ffb Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Fri, 9 Aug 2024 03:01:25 +0300 Subject: [PATCH 019/183] 2.3 openX() --- epyt/epanet.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index 0cc35a5..81696df 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -13440,6 +13440,9 @@ def getruleenabled(self, index, enabled): def setruleenabled(self, index, enabled): self.api.EN_setruleenabled(index, enabled) + def openX(self, inpFile, rptFile, outFile): + self.api.EN_openX(inpFile, rptFile, outFile) + class epanetapi: """ EPANET Toolkit functions - API From 7c7abb95867ec44e5e21020e7fa5fef90ea853e4 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Fri, 9 Aug 2024 03:02:32 +0300 Subject: [PATCH 020/183] 2.3 loadpatternfile() --- epyt/epanet.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index 81696df..800087c 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -13443,6 +13443,8 @@ def setruleenabled(self, index, enabled): def openX(self, inpFile, rptFile, outFile): self.api.EN_openX(inpFile, rptFile, outFile) + def loadpatternfile(self, filename, id): + self.api.EN_loadpatternfile(filename, id) class epanetapi: """ EPANET Toolkit functions - API From 1201e3a37138a29e197f6aeec8c08591477c0d3a Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Fri, 9 Aug 2024 03:04:37 +0300 Subject: [PATCH 021/183] 2.3 getlinksvalues() --- epyt/epanet.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index 800087c..2287bc2 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -13445,6 +13445,10 @@ def openX(self, inpFile, rptFile, outFile): def loadpatternfile(self, filename, id): self.api.EN_loadpatternfile(filename, id) + + def getlinksvalues(self, property, values): + self.api.EN_getlinksvalues(property, values) + class epanetapi: """ EPANET Toolkit functions - API From f7d95caf8be4361124e718af178c99fdea808598 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Fri, 23 Aug 2024 14:33:45 +0300 Subject: [PATCH 022/183] function getlinkvalues() from update 2.3 tested --- epyt/epanet.py | 39 ++++++++++++++++++++++++++++++++------- 1 file changed, 32 insertions(+), 7 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 2287bc2..02882cc 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -13446,9 +13446,28 @@ def openX(self, inpFile, rptFile, outFile): def loadpatternfile(self, filename, id): self.api.EN_loadpatternfile(filename, id) - def getlinksvalues(self, property, values): - self.api.EN_getlinksvalues(property, values) - + def getlinkvalues(self, property): + """Purpose: retrieves property values for all links + Example: + from epyt import epanet + inpfile = "Net1.inp" + d = epanet(inpfile) + d.openHydraulicAnalysis() + d.initializeHydraulicAnalysis() + tstep, P, T_H, D, H, F, S =1, [], [], [], [], [], [] + while tstep>0: + t = d.runHydraulicAnalysis() + S.append(d.getlinkvalues(d.ToolkitConstants.EN_FLOW)) + F.append(d.getLinkFlows()) + T_H.append(t) + print(F) + print(S) + print(T_H) + tstep=d.nextHydraulicAnalysisStep() + d.closeHydraulicAnalysis()""" + values = self.api.EN_getlinkvalues(property) + return values + class epanetapi: """ EPANET Toolkit functions - API @@ -14275,19 +14294,25 @@ def EN_openX(self, inpFile, rptFile, outFile): self.errcode = self._lib.EN_openX(self._ph, inpFile, rptFile, outFile) else: self.errcode = self._lib.ENopenX(inpFile, rptFile, outFile) - def EN_getlinksvalues(self, property, values): + def EN_getlinkvalues(self, property): """ Input: property = link property code (see EN_LinkProperty) Output: values = array of link property values Returns: error code Purpose: retrieves property values for all links """ + + EN_LINKCOUNT = 2 + num_links = self.ENgetcount(EN_LINKCOUNT) + property = c_int(property) - values = c_double(values) if self._ph is not None: - self.errcode = self._lib.EN_getlinksvalues(self._ph, property, values) + values_array = (c_double * num_links)() + self.errcode = self._lib.EN_getlinkvalues(self._ph, property, values_array) else: - self.errcode = self._lib.ENgetlinksvalues(property, values) + values_array = (c_float * num_links)() + self.errcode = self._lib.ENgetlinkvalues(property, values_array) + return list(values_array) def EN_loadpatternfile(self, filename, id): """ Input: filename = name of the file containing pattern data From 50a7d0fcef0ac9f8d936230ca9d94af0571a9518 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Mon, 26 Aug 2024 13:00:10 +0300 Subject: [PATCH 023/183] setCurveType tested, now with comments + getLinkValues --- epyt/epanet.py | 49 ++++++++++++++++++++++++++++++++++++++++--------- 1 file changed, 40 insertions(+), 9 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 02882cc..a67c704 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -13419,7 +13419,27 @@ def plotMSXSpeciesLinkConcentration(self, *args): plt.legend() plt.show() - def setcurvetype(self, index, type): + def setCurveType(self, index, type): + """ + Purpose: + Sets the type of a specified curve in the EPANET model. + + Parameters: + index (int): The index of the curve to modify. + curve_type (int): The desired type of the curve, based on the following categories: + - 0: Volume + - 1: Pump + - 2: Efficiency + - 3: Headloss + - 4: General + + Example Usage: + inp_filename = "Net1.inp" + + d = epanet(inp_filename) + d.setCurveType(1, 0) + curve_type = d.getCurveType(1) + """ self.api.EN_setcurvetype(index, type) def setvertex(self, index, x, y): @@ -13446,24 +13466,35 @@ def openX(self, inpFile, rptFile, outFile): def loadpatternfile(self, filename, id): self.api.EN_loadpatternfile(filename, id) - def getlinkvalues(self, property): - """Purpose: retrieves property values for all links - Example: - from epyt import epanet + def getLinkValues(self, property): + """ + Purpose: + Retrieves property values for all links within the EPANET model during a hydraulic analysis. + + Example Usage: + from epyt import epanet + inpfile = "Net1.inp" d = epanet(inpfile) + d.openHydraulicAnalysis() d.initializeHydraulicAnalysis() - tstep, P, T_H, D, H, F, S =1, [], [], [], [], [], [] - while tstep>0: + + tstep = 1 + P, T_H, D, H, F, S = [], [], [], [], [], [] + + while tstep > 0: t = d.runHydraulicAnalysis() - S.append(d.getlinkvalues(d.ToolkitConstants.EN_FLOW)) + S.append(d.getLinkValues(d.ToolkitConstants.EN_FLOW)) F.append(d.getLinkFlows()) T_H.append(t) + print(F) print(S) print(T_H) - tstep=d.nextHydraulicAnalysisStep() + + tstep = d.nextHydraulicAnalysisStep() + d.closeHydraulicAnalysis()""" values = self.api.EN_getlinkvalues(property) return values From 4eed1f7221edb41ecc9b14e14f0c963cec19c0d5 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Mon, 26 Aug 2024 13:23:17 +0300 Subject: [PATCH 024/183] minor fix with setCurveType now shows errorcode + setVertex() now has comments setVertex needs test when self._ph is None --- epyt/epanet.py | 51 ++++++++++++++++++++++++++++++++++++++++++++------ 1 file changed, 45 insertions(+), 6 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index a67c704..b3c580b 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -13426,24 +13426,61 @@ def setCurveType(self, index, type): Parameters: index (int): The index of the curve to modify. - curve_type (int): The desired type of the curve, based on the following categories: + (curve)type (int): The desired type of the curve, based on the following categories: - 0: Volume - 1: Pump - 2: Efficiency - 3: Headloss - 4: General + Returns: + int: An error code indicating success or failure of the operation. Example Usage: inp_filename = "Net1.inp" d = epanet(inp_filename) - d.setCurveType(1, 0) + errcode = d.setCurveType(1, 0) curve_type = d.getCurveType(1) + if errcode == 0: + print("Curve type set successfully.") + else: + print(f"Error setting curve type. Error code: {d.getError(errcode)}") """ - self.api.EN_setcurvetype(index, type) + errcode = self.api.EN_setcurvetype(index, type) + return errcode - def setvertex(self, index, x, y): - self.api.EN_setvertex(index, x, y) + def setVertex(self, index, vertex, x, y): + """ + Purpose: + Sets the coordinates of a vertex point in a link within the EPANET model. + + Parameters: + index (int): The index of the link for which the vertex coordinates are to be set. + vertex (int): The index of the specific vertex point within the link. + x (float): The X-coordinate of the vertex point. + y (float): The Y-coordinate of the vertex point. + + Returns: + int: An error code indicating success or failure of the operation. + + Example Usage: + inpname = "Net1.inp" + + # Initialize EPANET model with the input file + d = epanet(inpname) + + # Set the coordinates of the first vertex point (vertex index 1) in link with index 1 + errcode = d.setvertex(1, 1, 1.0, 1.0) + + # Check if the operation was successful + if errcode == 0: + print("Vertex coordinates set successfully.") + else: + print(f"Error setting vertex coordinates. Error code: {d.getError(error_code)}") + """ + + errcode = self.api.EN_setvertex(index, vertex, x, y) + return errcode def timetonexteven(self, eventType, duration, elementIndex): self.api.EN_timetonextevent(eventType, duration, elementIndex) @@ -13473,7 +13510,7 @@ def getLinkValues(self, property): Example Usage: from epyt import epanet - + inpfile = "Net1.inp" d = epanet(inpfile) @@ -14246,6 +14283,7 @@ def EN_setcurvetype(self, index, type): self.errcode = self._lib.EN_setcurvetype(self._ph, index, type) else: self.errcode = self._lib.ENsetcurvetype(index, type) + return self.errcode def EN_setvertex(self, index, vertex, x, y): """ Input: index = link index @@ -14262,6 +14300,7 @@ def EN_setvertex(self, index, vertex, x, y): self.errcode = self._lib.EN_setvertex(self._ph, index, vertex, x, y) else: self.errcode = self._lib.ENsetvertex(index, vertex, x, y) + return self.errcode def EN_timetonextevent(self, eventType, duration, elementIndex): """get the time to next event, and give a reason for the time step truncation""" From 41c3c5683fc67e628bb27c555e9c5c72afe124a4 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Mon, 26 Aug 2024 13:25:28 +0300 Subject: [PATCH 025/183] Update epanet.py --- epyt/epanet.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index b3c580b..b21bf14 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -13476,7 +13476,7 @@ def setVertex(self, index, vertex, x, y): if errcode == 0: print("Vertex coordinates set successfully.") else: - print(f"Error setting vertex coordinates. Error code: {d.getError(error_code)}") + print(f"Error setting vertex coordinates. Error code: {d.getError(errcode)}") """ errcode = self.api.EN_setvertex(index, vertex, x, y) From 3a992d54e6451489c7dc1e81b5ae318653ebe6f6 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Mon, 26 Aug 2024 16:53:00 +0300 Subject: [PATCH 026/183] minor fix --- epyt/epanet.py | 10 ++++++++-- 1 file changed, 8 insertions(+), 2 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index b21bf14..67e9711 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -14283,6 +14283,7 @@ def EN_setcurvetype(self, index, type): self.errcode = self._lib.EN_setcurvetype(self._ph, index, type) else: self.errcode = self._lib.ENsetcurvetype(index, type) + self.ENgeterror() return self.errcode def EN_setvertex(self, index, vertex, x, y): @@ -14294,12 +14295,16 @@ def EN_setvertex(self, index, vertex, x, y): Purpose: sets the coordinates of a vertex point in a link""" index = c_int(index) vertex = c_int(vertex) - x = c_double(x) - y = c_double(y) + if self._ph is not None: + x = c_double(x) + y = c_double(y) self.errcode = self._lib.EN_setvertex(self._ph, index, vertex, x, y) else: + x = c_float(x) + y = c_float(y) self.errcode = self._lib.ENsetvertex(index, vertex, x, y) + self.ENgeterror() return self.errcode def EN_timetonextevent(self, eventType, duration, elementIndex): @@ -14382,6 +14387,7 @@ def EN_getlinkvalues(self, property): else: values_array = (c_float * num_links)() self.errcode = self._lib.ENgetlinkvalues(property, values_array) + self.ENgeterror() return list(values_array) def EN_loadpatternfile(self, filename, id): From 925c157fcf35608734ee47041b28238851473320 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Mon, 26 Aug 2024 17:17:31 +0300 Subject: [PATCH 027/183] getControlEnabled() + setControlEnabled() --- epyt/epanet.py | 68 +++++++++++++++++++++++++++++++++++++++++++------- 1 file changed, 59 insertions(+), 9 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 67e9711..0bcb8ca 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -13485,11 +13485,58 @@ def setVertex(self, index, vertex, x, y): def timetonexteven(self, eventType, duration, elementIndex): self.api.EN_timetonextevent(eventType, duration, elementIndex) - def getcontrolenabled(self, index, enabled): - self.api.EN_getcontrolenabled(index, enabled) + def getControlEnabled(self, index): + """ + Purpose: + Retrieves the enabled state of a specified control in the EPANET model. + + Parameters: + index (int): The index of the control to check, starting from 1. - def setcontrolenabled(self, index, enabled): - self.api.EN_setcontrolenabled(index, enabled) + Returns: + int: The state of the control: + - 0: Control is disabled (False) + - 1: Control is enabled (True) + + Example Usage: + inpfile = "Net1.inp" + d = epanet(inpfile) + + # Retrieve and print the state of the control at index 1 + x = d.getControlEnabled(1) + print(f"Control state: {x}") + """ + enabled = self.api.EN_getcontrolenabled(index) + return enabled + + def setControlEnabled(self, index, enabled): + """ + Purpose: + Enables or disables a control in the EPANET model. + + Parameters: + index (int): The index of the control to be modified, starting from 1. + enabled (int): The state to set for the control: + - 0: Disable the control (False) + - 1: Enable the control (True) + + Example Usage: + inpfile = "Net1.inp" + d = epanet(inpfile) + + # Retrieve the current state of the control at index 1 + x = d.getControlEnabled(1) + print(f"Control state before: {x}") + + # Disable the control at index 1 + d.setControlEnabled(1, 0) + + # Check the state of the control again + x = d.getControlEnabled(1) + print(f"Control state after: {x}") + """ + errcode = self.api.EN_setcontrolenabled(index, enabled) + return errcode def getruleenabled(self, index, enabled): self.api.EN_getruleenabled(index, enabled) @@ -14318,14 +14365,15 @@ def EN_timetonextevent(self, eventType, duration, elementIndex): else: self.errcode = self._lib.ENtimetonextevent(eventType, duration, elementIndex) - def EN_getcontrolenabled(self, index, enabled): + def EN_getcontrolenabled(self, index): index = c_int(index) - enabled = c_int(enabled) #pointer in C - + enabled = c_int() if self._ph is not None: - self.errcode = self._lib.EN_getcontrolenabled(self._ph, index, enabled) + self.errcode = self._lib.EN_getcontrolenabled(self._ph, index, byref(enabled)) else: - self.errcode = self._lib.ENgetcontrolenabled(index, enabled) + self.errcode = self._lib.ENgetcontrolenabled(index, byref(enabled)) + self.ENgeterror() + return enabled.value def EN_setcontrolenabled(self, index, enabled): @@ -14335,6 +14383,8 @@ def EN_setcontrolenabled(self, index, enabled): self.errcode = self._lib.EN_setcontrolenabled(self._ph, index, enabled) else: self.errcode = self._lib.ENsetcontrolenabled(index, enabled) + self.ENgeterror() + return self.errcode def EN_getruleenabled(self, index, enabled): From b91cb847f34004b6b7c7e6b75ba8bf5e24a63e76 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Mon, 26 Aug 2024 17:30:38 +0300 Subject: [PATCH 028/183] getRuleEnabled() + setRuleEnabled() --- epyt/epanet.py | 68 +++++++++++++++++++++++++++++++++++++++++++------- 1 file changed, 59 insertions(+), 9 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 0bcb8ca..e94e41b 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -13538,11 +13538,58 @@ def setControlEnabled(self, index, enabled): errcode = self.api.EN_setcontrolenabled(index, enabled) return errcode - def getruleenabled(self, index, enabled): - self.api.EN_getruleenabled(index, enabled) + def getRuleEnabled(self, index): + """ + Purpose: + Retrieves the enabled state of a specific rule in the EPANET model. + + Parameters: + index (int): The index of the rule to check, starting from 1. + + Returns: + int: The state of the rule: + - 0: Rule is disabled (False) + - 1: Rule is enabled (True) + + Example Usage: + inpfile = "Net1.inp" + d = epanet(inpfile) + + # Retrieve and print the current state of the rule at index 1 + x = d.getRuleEnabled(1) + print(f"Rule state: {x}") + """ + enabled = self.api.EN_getruleenabled(index) + return enabled + + def setRuleEnabled(self, index, enabled): + """ + Purpose: + Enables or disables a specific rule in the EPANET model. + + Parameters: + index (int): The index of the rule to be modified, starting from 1. + enabled (int): The state to set for the rule: + - 0: Disable the rule (False) + - 1: Enable the rule (True) + + Example Usage: + inpfile = "Net1.inp" + d = epanet(inpfile) + + # Retrieve and print the current state of the rule at index 1 + x = d.getRuleEnabled(1) + print(f"Rule state before: {x}") - def setruleenabled(self, index, enabled): - self.api.EN_setruleenabled(index, enabled) + # Enable the rule at index 1 + d.setRuleEnabled(1, 1) + + # Retrieve and print the state of the rule again to confirm the change + x = d.getRuleEnabled(1) + print(f"Rule state after: {x}") + """ + errcode = self.api.EN_setruleenabled(index, enabled) + return errcode def openX(self, inpFile, rptFile, outFile): self.api.EN_openX(inpFile, rptFile, outFile) @@ -14386,15 +14433,16 @@ def EN_setcontrolenabled(self, index, enabled): self.ENgeterror() return self.errcode - def EN_getruleenabled(self, index, enabled): + def EN_getruleenabled(self, index): index = c_int(index) - enabled = c_int(enabled) #pointer in C + enabled = c_int() if self._ph is not None: - self.errcode = self._lib.EN_getruleenabled(self._ph, index, enabled) + self.errcode = self._lib.EN_getruleenabled(self._ph, index, byref(enabled)) else: - self.errcode = self._lib.ENgetruleenabled(index, enabled) - + self.errcode = self._lib.ENgetruleenabled(index, byref(enabled)) + self.ENgeterror() + return enabled.value def EN_setruleenabled(self, index, enabled): index = c_int(index) @@ -14403,6 +14451,8 @@ def EN_setruleenabled(self, index, enabled): self.errcode = self._lib.EN_setruleenabled(self._ph, index, enabled) else: self.errcode = self._lib.ENsetruleenabled(index, enabled) + self.ENgeterror() + return self.errcode def EN_openX(self, inpFile, rptFile, outFile): """Input: inpFile = name of input file From 9c3f9780b75d74bb1d53be9094193f4467985b2d Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Mon, 26 Aug 2024 17:37:25 +0300 Subject: [PATCH 029/183] loadPatternfile() --- epyt/epanet.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index e94e41b..254f7c8 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -13594,7 +13594,7 @@ def setRuleEnabled(self, index, enabled): def openX(self, inpFile, rptFile, outFile): self.api.EN_openX(inpFile, rptFile, outFile) - def loadpatternfile(self, filename, id): + def loadPatternFile(self, filename, id): self.api.EN_loadpatternfile(filename, id) def getLinkValues(self, property): @@ -14496,11 +14496,11 @@ def EN_loadpatternfile(self, filename, id): Output: none Returns: error code Purpose: loads time patterns from a file into a project under a specific pattern ID""" - + self.patternfile = bytes(filename, 'utf-8') if self._ph is not None: - self.errcode = self._lib.EN_loadpatternfile(self._ph, filename, id) + self.errcode = self._lib.EN_loadpatternfile(self._ph, self.patternfile, id) else: - self.errcode = self._lib.ENloadpatternfile(filename, id) + self.errcode = self._lib.ENloadpatternfile(self.patternfile, id) def ENgetcurvevalue(self, index, period): """ Retrieves the value of a single data point for a curve. From 2edaa97d58aa8c9db50fc6098760c982aeeed532 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Mon, 26 Aug 2024 17:38:13 +0300 Subject: [PATCH 030/183] openX() --- epyt/epanet.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 254f7c8..f64794c 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -14466,9 +14466,9 @@ def EN_openX(self, inpFile, rptFile, outFile): self.rptFile = bytes(rptFile, 'utf-8') self.outFile = bytes(outFile, 'utf-8') if self._ph is not None: - self.errcode = self._lib.EN_openX(self._ph, inpFile, rptFile, outFile) + self.errcode = self._lib.EN_openX(self._ph, self.inpFile, self.rptFile, self.outFile) else: - self.errcode = self._lib.ENopenX(inpFile, rptFile, outFile) + self.errcode = self._lib.ENopenX( self.inpFile, self.rptFile, self.outFile) def EN_getlinkvalues(self, property): """ Input: property = link property code (see EN_LinkProperty) From a0f089ab703b1b41a31b03025311d3a23a60998a Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Mon, 26 Aug 2024 17:39:36 +0300 Subject: [PATCH 031/183] error message added --- epyt/epanet.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index f64794c..e5e597b 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -14411,6 +14411,7 @@ def EN_timetonextevent(self, eventType, duration, elementIndex): self.errcode = self._lib.EN_timetonextevent(self._ph, eventType, duration, elementIndex) else: self.errcode = self._lib.ENtimetonextevent(eventType, duration, elementIndex) + self.ENgeterror() def EN_getcontrolenabled(self, index): index = c_int(index) @@ -14469,6 +14470,7 @@ def EN_openX(self, inpFile, rptFile, outFile): self.errcode = self._lib.EN_openX(self._ph, self.inpFile, self.rptFile, self.outFile) else: self.errcode = self._lib.ENopenX( self.inpFile, self.rptFile, self.outFile) + self.ENgeterror() def EN_getlinkvalues(self, property): """ Input: property = link property code (see EN_LinkProperty) @@ -14501,6 +14503,7 @@ def EN_loadpatternfile(self, filename, id): self.errcode = self._lib.EN_loadpatternfile(self._ph, self.patternfile, id) else: self.errcode = self._lib.ENloadpatternfile(self.patternfile, id) + self.ENgeterror() def ENgetcurvevalue(self, index, period): """ Retrieves the value of a single data point for a curve. From 25531024d7ad9ee52a3e08b88ba11743bd395801 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Wed, 28 Aug 2024 12:28:19 +0300 Subject: [PATCH 032/183] Unit test update 2.3 setcurvetype() --- epyt/epanet.py | 2 +- test_unit_update23.py | 40 ++++++++++++++++++++++++++++++++++++++++ 2 files changed, 41 insertions(+), 1 deletion(-) create mode 100644 test_unit_update23.py diff --git a/epyt/epanet.py b/epyt/epanet.py index e5e597b..7cd4344 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -14470,7 +14470,7 @@ def EN_openX(self, inpFile, rptFile, outFile): self.errcode = self._lib.EN_openX(self._ph, self.inpFile, self.rptFile, self.outFile) else: self.errcode = self._lib.ENopenX( self.inpFile, self.rptFile, self.outFile) - self.ENgeterror() + self.ENgeterror() def EN_getlinkvalues(self, property): """ Input: property = link property code (see EN_LinkProperty) diff --git a/test_unit_update23.py b/test_unit_update23.py new file mode 100644 index 0000000..11583a1 --- /dev/null +++ b/test_unit_update23.py @@ -0,0 +1,40 @@ +from epyt import epanet, networks +import unittest +import os + +DIRNAME = os.path.dirname(networks.__file__) + +class update23(unittest.TestCase): + + def setUp(self): + """Call before every test case.""" + # Create EPANET object using the INP file + inpname = os.path.join(DIRNAME, 'asce-tf-wdst', 'Net1.inp') + self.epanetClass = epanet(inpname) + + + def tearDown(self): + """Call after every test case.""" + self.epanetClass.unload() + + """ ------------------------------------------------------------------------- """ + def test_setCurveType(self): + #all 5 possible types + self.epanetClass.setCurveType(1, 0) + self.assertEqual( self.epanetClass.getCurveType(1), + ('VOLUME'), 'Wrong Curve Type comment output') + self.epanetClass.setCurveType(1, 1) + self.assertEqual(self.epanetClass.getCurveType(1), + ('PUMP'), 'Wrong Curve Type comment output') + self.epanetClass.setCurveType(1, 2) + self.assertEqual(self.epanetClass.getCurveType(1), + ('EFFICIENCY'), 'Wrong Curve Type comment output') + self.epanetClass.setCurveType(1, 3) + self.assertEqual(self.epanetClass.getCurveType(1), + ('HEADLOSS'), 'Wrong Curve Type comment output') + self.epanetClass.setCurveType(1, 4) + self.assertEqual(self.epanetClass.getCurveType(1), + ('GENERAL'), 'Wrong Curve Type comment output') + +if __name__ == "__main__": + unittest.main() From 0ed27808e371ec03cbc3fd2449c687703a2a200b Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Wed, 28 Aug 2024 12:33:06 +0300 Subject: [PATCH 033/183] Unit test update 2.3 set/get control enabled --- test_unit_update23.py | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/test_unit_update23.py b/test_unit_update23.py index 11583a1..e164bae 100644 --- a/test_unit_update23.py +++ b/test_unit_update23.py @@ -36,5 +36,16 @@ def test_setCurveType(self): self.assertEqual(self.epanetClass.getCurveType(1), ('GENERAL'), 'Wrong Curve Type comment output') + def test_setControlEnabled(self): + + self.assertEqual( self.epanetClass.getControlEnabled(1), + (1), 'Wrong Control enabled comment output') + + self.epanetClass.setControlEnabled(1, 0) + + self.assertEqual(self.epanetClass.getControlEnabled(1), + (0), 'Wrong Control enabled comment output') + + if __name__ == "__main__": unittest.main() From 0573879b0cd2729f8a5d4fe9b0bd820a4a2cce66 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Wed, 28 Aug 2024 13:09:56 +0300 Subject: [PATCH 034/183] unitest for getlinkvalues --- test_unit_update23.py | 229 ++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 229 insertions(+) diff --git a/test_unit_update23.py b/test_unit_update23.py index e164bae..d40fbbd 100644 --- a/test_unit_update23.py +++ b/test_unit_update23.py @@ -46,6 +46,235 @@ def test_setControlEnabled(self): self.assertEqual(self.epanetClass.getControlEnabled(1), (0), 'Wrong Control enabled comment output') + def test_getLinkValuesFLOW(self): + + self.epanetClass.openHydraulicAnalysis() + self.epanetClass.initializeHydraulicAnalysis() + + tstep = 1 + T_H, Ft, Fb = [], [], [] + + while tstep > 0: + t = self.epanetClass.runHydraulicAnalysis() + #flow test + Ft.append(self.epanetClass.getLinkValues(self.epanetClass.ToolkitConstants.EN_FLOW)) + Fb.append(self.epanetClass.getLinkFlows()) + T_H.append(t) + tstep = self.epanetClass.nextHydraulicAnalysisStep() + + self.epanetClass.closeHydraulicAnalysis() + self.assertEqual(Fb[0].tolist(), Ft[0]) #Flow check + + def test_getLinkValuesHEADLOSS(self): + + self.epanetClass.openHydraulicAnalysis() + self.epanetClass.initializeHydraulicAnalysis() + + tstep = 1 + T_H, Ht, Hb = [], [], [] + + while tstep > 0: + t = self.epanetClass.runHydraulicAnalysis() + # headloss test + Ht.append(self.epanetClass.getLinkValues(self.epanetClass.ToolkitConstants.EN_HEADLOSS)) + Hb.append(self.epanetClass.getLinkHeadloss()) + T_H.append(t) + tstep = self.epanetClass.nextHydraulicAnalysisStep() + + self.epanetClass.closeHydraulicAnalysis() + self.assertEqual(Hb[0].tolist(), Ht[0]) # Headloss check + + def test_getLinkValuesVELOCITY(self): + + self.epanetClass.openHydraulicAnalysis() + self.epanetClass.initializeHydraulicAnalysis() + + tstep = 1 + T_H, Vt, Vb = [], [], [] + + while tstep > 0: + t = self.epanetClass.runHydraulicAnalysis() + # Velocity test + Vt.append(self.epanetClass.getLinkValues(self.epanetClass.ToolkitConstants.EN_VELOCITY)) + Vb.append(self.epanetClass.getLinkVelocity()) + T_H.append(t) + tstep = self.epanetClass.nextHydraulicAnalysisStep() + + self.epanetClass.closeHydraulicAnalysis() + self.assertEqual(Vb[0].tolist(), Vt[0]) # Velocity check + + def test_getLinkValuesDIAMETER(self): + + self.epanetClass.openHydraulicAnalysis() + self.epanetClass.initializeHydraulicAnalysis() + + tstep = 1 + T_H, Dt, Db = [], [], [] + + while tstep > 0: + t = self.epanetClass.runHydraulicAnalysis() + # Diameter test + Dt.append(self.epanetClass.getLinkValues(self.epanetClass.ToolkitConstants.EN_DIAMETER)) + Db.append(self.epanetClass.getLinkDiameter()) + T_H.append(t) + tstep = self.epanetClass.nextHydraulicAnalysisStep() + + self.epanetClass.closeHydraulicAnalysis() + self.assertEqual(Db[0].tolist(), Dt[0]) # Diameter check + + def test_getLinkValuesLENGTH(self): + + self.epanetClass.openHydraulicAnalysis() + self.epanetClass.initializeHydraulicAnalysis() + + tstep = 1 + T_H, Lt, Lb = [], [], [] + + while tstep > 0: + t = self.epanetClass.runHydraulicAnalysis() + # LENGTH test + Lt.append(self.epanetClass.getLinkValues(self.epanetClass.ToolkitConstants.EN_LENGTH)) + Lb.append(self.epanetClass.getLinkLength()) + T_H.append(t) + tstep = self.epanetClass.nextHydraulicAnalysisStep() + + self.epanetClass.closeHydraulicAnalysis() + self.assertEqual(Lb[0].tolist(), Lt[0]) # LENGTH check + + def test_getLinkValuesROUGHNESS(self): + + self.epanetClass.openHydraulicAnalysis() + self.epanetClass.initializeHydraulicAnalysis() + + tstep = 1 + T_H, Rt, Rb = [], [], [] + + while tstep > 0: + t = self.epanetClass.runHydraulicAnalysis() + # ROUGHNESS test + Rt.append(self.epanetClass.getLinkValues(self.epanetClass.ToolkitConstants.EN_ROUGHNESS)) + Rb.append(self.epanetClass.getLinkRoughnessCoeff()) + T_H.append(t) + tstep = self.epanetClass.nextHydraulicAnalysisStep() + + self.epanetClass.closeHydraulicAnalysis() + self.assertEqual(Rb[0].tolist(), Rt[0]) # ROUGHNESS check + + def test_getLinkValuesMINORLOSS(self): + + self.epanetClass.openHydraulicAnalysis() + self.epanetClass.initializeHydraulicAnalysis() + + tstep = 1 + T_H, Mt, Mb = [], [], [] + + while tstep > 0: + t = self.epanetClass.runHydraulicAnalysis() + # MINORLOSS test + Mt.append(self.epanetClass.getLinkValues(self.epanetClass.ToolkitConstants.EN_MINORLOSS)) + Mb.append(self.epanetClass.getLinkMinorLossCoeff()) + T_H.append(t) + tstep = self.epanetClass.nextHydraulicAnalysisStep() + + self.epanetClass.closeHydraulicAnalysis() + self.assertEqual(Mb[0].tolist(), Mt[0]) # MINORLOSS check + + def test_getLinkValuesINITSTATUS(self): + + self.epanetClass.openHydraulicAnalysis() + self.epanetClass.initializeHydraulicAnalysis() + + tstep = 1 + T_H, It, Ib = [], [], [] + + while tstep > 0: + t = self.epanetClass.runHydraulicAnalysis() + # INITSTATUS test + It.append(self.epanetClass.getLinkValues(self.epanetClass.ToolkitConstants.EN_INITSTATUS)) + Ib.append(self.epanetClass.getLinkInitialStatus()) + T_H.append(t) + tstep = self.epanetClass.nextHydraulicAnalysisStep() + + self.epanetClass.closeHydraulicAnalysis() + self.assertEqual(Ib[0].tolist(), It[0]) # INITSTATUS check + + def test_getLinkValuesINITSETTING(self): + + self.epanetClass.openHydraulicAnalysis() + self.epanetClass.initializeHydraulicAnalysis() + + tstep = 1 + T_H, It, Ib = [], [], [] + + while tstep > 0: + t = self.epanetClass.runHydraulicAnalysis() + # INITSETTING test + It.append(self.epanetClass.getLinkValues(self.epanetClass.ToolkitConstants.EN_INITSETTING)) + Ib.append(self.epanetClass.getLinkInitialSetting()) + T_H.append(t) + tstep = self.epanetClass.nextHydraulicAnalysisStep() + + self.epanetClass.closeHydraulicAnalysis() + self.assertEqual(Ib[0].tolist(), It[0]) # INITSETTING check + + def test_getLinkValuesSTATUS(self): + + self.epanetClass.openHydraulicAnalysis() + self.epanetClass.initializeHydraulicAnalysis() + + tstep = 1 + T_H, St, Sb = [], [], [] + + while tstep > 0: + t = self.epanetClass.runHydraulicAnalysis() + # STATUS test + St.append(self.epanetClass.getLinkValues(self.epanetClass.ToolkitConstants.EN_STATUS)) + Sb.append(self.epanetClass.getLinkStatus()) + T_H.append(t) + tstep = self.epanetClass.nextHydraulicAnalysisStep() + + self.epanetClass.closeHydraulicAnalysis() + self.assertEqual(Sb[0].tolist(), St[0]) # STATUS check + + def test_getLinkValuesSETTING(self): + + self.epanetClass.openHydraulicAnalysis() + self.epanetClass.initializeHydraulicAnalysis() + + tstep = 1 + T_H, St, Sb = [], [], [] + + while tstep > 0: + t = self.epanetClass.runHydraulicAnalysis() + # STATUS test + St.append(self.epanetClass.getLinkValues(self.epanetClass.ToolkitConstants.EN_SETTING)) + Sb.append(self.epanetClass.getLinkSettings()) + T_H.append(t) + tstep = self.epanetClass.nextHydraulicAnalysisStep() + + self.epanetClass.closeHydraulicAnalysis() + self.assertEqual(Sb[0].tolist(), St[0]) # SETTING check + + def test_getLinkValuesENERGY(self): + + self.epanetClass.openHydraulicAnalysis() + self.epanetClass.initializeHydraulicAnalysis() + + tstep = 1 + T_H, Et, Eb = [], [], [] + + while tstep > 0: + t = self.epanetClass.runHydraulicAnalysis() + # ENERGY test + Et.append(self.epanetClass.getLinkValues(self.epanetClass.ToolkitConstants.EN_ENERGY)) + Eb.append(self.epanetClass.getLinkEnergy()) + T_H.append(t) + tstep = self.epanetClass.nextHydraulicAnalysisStep() + + self.epanetClass.closeHydraulicAnalysis() + self.assertEqual(Eb[0].tolist(), Et[0]) # ENERGY check + if __name__ == "__main__": unittest.main() + From f6fc1d2ec19637e24f64fc75c4c39690b7ef214c Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 29 Aug 2024 11:24:55 +0300 Subject: [PATCH 035/183] major fix --- epyt/epanet.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 7cd4344..ece9b29 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -10852,8 +10852,7 @@ def __getLinkInfo(self, code_p, *argv): else: values = self.api.ENgetlinkvalue(index, code_p) else: - for i in range(self.getLinkCount()): - values.append(self.api.ENgetlinkvalue(i + 1, code_p)) + values = self.api.EN_getlinkvalues(code_p) return np.array(values) def __getNodeIndices(self, *argv): From 3fd0919f73b7f64544b00a5f88f49b22ce75a87b Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 3 Sep 2024 16:10:43 +0300 Subject: [PATCH 036/183] typepump index 3 added 2.3 update --- epyt/epanet.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index ece9b29..811b9f8 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -530,7 +530,7 @@ def __init__(self, *argv, version=2.2, ph=False, loadfile=False, customlib=None, # Node types self.TYPENODE = ['JUNCTION', 'RESERVOIR', 'TANK'] # Constants for pumps - self.TYPEPUMP = ['CONSTANT_HORSEPOWER', 'POWER_FUNCTION', 'CUSTOM', ''] + self.TYPEPUMP = ['CONSTANT_HORSEPOWER', 'POWER_FUNCTION', 'CUSTOM', 'NO_CURVE'] # Link PUMP status self.TYPEPUMPSTATE = ['XHEAD', '', 'CLOSED', 'OPEN', '', 'XFLOW'] # Constants for quality From c35e3680168258dd7ca99623b1701ac2473313ce Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 3 Sep 2024 16:29:41 +0300 Subject: [PATCH 037/183] Underscore typo functions 2.3 --- epyt/epanet.py | 42 +++++++++++++++++++++--------------------- 1 file changed, 21 insertions(+), 21 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 811b9f8..3a564c7 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -10852,7 +10852,7 @@ def __getLinkInfo(self, code_p, *argv): else: values = self.api.ENgetlinkvalue(index, code_p) else: - values = self.api.EN_getlinkvalues(code_p) + values = self.api.ENgetlinkvalues(code_p) return np.array(values) def __getNodeIndices(self, *argv): @@ -13445,7 +13445,7 @@ def setCurveType(self, index, type): else: print(f"Error setting curve type. Error code: {d.getError(errcode)}") """ - errcode = self.api.EN_setcurvetype(index, type) + errcode = self.api.ENsetcurvetype(index, type) return errcode def setVertex(self, index, vertex, x, y): @@ -13478,11 +13478,11 @@ def setVertex(self, index, vertex, x, y): print(f"Error setting vertex coordinates. Error code: {d.getError(errcode)}") """ - errcode = self.api.EN_setvertex(index, vertex, x, y) + errcode = self.api.ENsetvertex(index, vertex, x, y) return errcode def timetonexteven(self, eventType, duration, elementIndex): - self.api.EN_timetonextevent(eventType, duration, elementIndex) + self.api.ENtimetonextevent(eventType, duration, elementIndex) def getControlEnabled(self, index): """ @@ -13505,7 +13505,7 @@ def getControlEnabled(self, index): x = d.getControlEnabled(1) print(f"Control state: {x}") """ - enabled = self.api.EN_getcontrolenabled(index) + enabled = self.api.ENgetcontrolenabled(index) return enabled def setControlEnabled(self, index, enabled): @@ -13534,7 +13534,7 @@ def setControlEnabled(self, index, enabled): x = d.getControlEnabled(1) print(f"Control state after: {x}") """ - errcode = self.api.EN_setcontrolenabled(index, enabled) + errcode = self.api.ENsetcontrolenabled(index, enabled) return errcode def getRuleEnabled(self, index): @@ -13558,7 +13558,7 @@ def getRuleEnabled(self, index): x = d.getRuleEnabled(1) print(f"Rule state: {x}") """ - enabled = self.api.EN_getruleenabled(index) + enabled = self.api.ENgetruleenabled(index) return enabled def setRuleEnabled(self, index, enabled): @@ -13587,14 +13587,14 @@ def setRuleEnabled(self, index, enabled): x = d.getRuleEnabled(1) print(f"Rule state after: {x}") """ - errcode = self.api.EN_setruleenabled(index, enabled) + errcode = self.api.ENsetruleenabled(index, enabled) return errcode def openX(self, inpFile, rptFile, outFile): - self.api.EN_openX(inpFile, rptFile, outFile) + self.api.ENopenX(inpFile, rptFile, outFile) def loadPatternFile(self, filename, id): - self.api.EN_loadpatternfile(filename, id) + self.api.ENloadpatternfile(filename, id) def getLinkValues(self, property): """ @@ -13626,7 +13626,7 @@ def getLinkValues(self, property): tstep = d.nextHydraulicAnalysisStep() d.closeHydraulicAnalysis()""" - values = self.api.EN_getlinkvalues(property) + values = self.api.ENgetlinkvalues(property) return values class epanetapi: @@ -14365,7 +14365,7 @@ def ENgetcurvetype(self, index): self.ENgeterror() return type_.value - def EN_setcurvetype(self, index, type): + def ENsetcurvetype(self, index, type): """ Allow API clients to set a curve's type (e.g., EN_PUMP_CURVE, EN_VOLUME_CURVE, etc.). Input: index = data curve index type = type of data curve (see EN_CurveType) @@ -14379,7 +14379,7 @@ def EN_setcurvetype(self, index, type): self.ENgeterror() return self.errcode - def EN_setvertex(self, index, vertex, x, y): + def ENsetvertex(self, index, vertex, x, y): """ Input: index = link index vertex = index of a link vertex point x = vertex point's X-coordinate @@ -14400,7 +14400,7 @@ def EN_setvertex(self, index, vertex, x, y): self.ENgeterror() return self.errcode - def EN_timetonextevent(self, eventType, duration, elementIndex): + def ENtimetonextevent(self, eventType, duration, elementIndex): """get the time to next event, and give a reason for the time step truncation""" eventType = c_int(eventType) #pointer in C duration = c_double(duration) #long in C @@ -14412,7 +14412,7 @@ def EN_timetonextevent(self, eventType, duration, elementIndex): self.errcode = self._lib.ENtimetonextevent(eventType, duration, elementIndex) self.ENgeterror() - def EN_getcontrolenabled(self, index): + def ENgetcontrolenabled(self, index): index = c_int(index) enabled = c_int() if self._ph is not None: @@ -14422,7 +14422,7 @@ def EN_getcontrolenabled(self, index): self.ENgeterror() return enabled.value - def EN_setcontrolenabled(self, index, enabled): + def ENsetcontrolenabled(self, index, enabled): index = c_int(index) enabled = c_int(enabled) @@ -14433,7 +14433,7 @@ def EN_setcontrolenabled(self, index, enabled): self.ENgeterror() return self.errcode - def EN_getruleenabled(self, index): + def ENgetruleenabled(self, index): index = c_int(index) enabled = c_int() @@ -14443,7 +14443,7 @@ def EN_getruleenabled(self, index): self.errcode = self._lib.ENgetruleenabled(index, byref(enabled)) self.ENgeterror() return enabled.value - def EN_setruleenabled(self, index, enabled): + def ENsetruleenabled(self, index, enabled): index = c_int(index) enabled = c_int(enabled) @@ -14454,7 +14454,7 @@ def EN_setruleenabled(self, index, enabled): self.ENgeterror() return self.errcode - def EN_openX(self, inpFile, rptFile, outFile): + def ENopenX(self, inpFile, rptFile, outFile): """Input: inpFile = name of input file rptFile = name of report file outFile = name of binary output file @@ -14470,7 +14470,7 @@ def EN_openX(self, inpFile, rptFile, outFile): else: self.errcode = self._lib.ENopenX( self.inpFile, self.rptFile, self.outFile) self.ENgeterror() - def EN_getlinkvalues(self, property): + def ENgetlinkvalues(self, property): """ Input: property = link property code (see EN_LinkProperty) Output: values = array of link property values @@ -14491,7 +14491,7 @@ def EN_getlinkvalues(self, property): self.ENgeterror() return list(values_array) - def EN_loadpatternfile(self, filename, id): + def ENloadpatternfile(self, filename, id): """ Input: filename = name of the file containing pattern data id = ID for the new pattern Output: none From 5a377177d7d942b5c162a5a595519a250d1fec64 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 3 Sep 2024 16:46:08 +0300 Subject: [PATCH 038/183] setControlEnabled() function splitted into 2 functions setControlEnabled and setControlDisabled, same arguments apply for setRuleEnabled() for update 2.3 --- epyt/epanet.py | 72 +++++++++++++++++++++++++++++++++++-------- test_unit_update23.py | 9 ++++-- 2 files changed, 66 insertions(+), 15 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 3a564c7..1b778bf 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -13508,16 +13508,13 @@ def getControlEnabled(self, index): enabled = self.api.ENgetcontrolenabled(index) return enabled - def setControlEnabled(self, index, enabled): + def setControlEnabled(self, index): """ Purpose: - Enables or disables a control in the EPANET model. + Enables a control in the EPANET model. Parameters: index (int): The index of the control to be modified, starting from 1. - enabled (int): The state to set for the control: - - 0: Disable the control (False) - - 1: Enable the control (True) Example Usage: inpfile = "Net1.inp" @@ -13534,7 +13531,33 @@ def setControlEnabled(self, index, enabled): x = d.getControlEnabled(1) print(f"Control state after: {x}") """ - errcode = self.api.ENsetcontrolenabled(index, enabled) + errcode = self.api.ENsetcontrolenabled(index, 1) + return errcode + + def setControlDisabled(self, index): + """ + Purpose: + Disables a control in the EPANET model. + + Parameters: + index (int): The index of the control to be modified, starting from 1. + + Example Usage: + inpfile = "Net1.inp" + d = epanet(inpfile) + + # Retrieve the current state of the control at index 1 + x = d.getControlEnabled(1) + print(f"Control state before: {x}") + + # Disable the control at index 1 + d.setControlEnabled(1, 0) + + # Check the state of the control again + x = d.getControlEnabled(1) + print(f"Control state after: {x}") + """ + errcode = self.api.ENsetcontrolenabled(index, 0) return errcode def getRuleEnabled(self, index): @@ -13561,16 +13584,39 @@ def getRuleEnabled(self, index): enabled = self.api.ENgetruleenabled(index) return enabled - def setRuleEnabled(self, index, enabled): + def setRuleEnabled(self, index): + """ + Purpose: + Enables a specific rule in the EPANET model. + + Parameters: + index (int): The index of the rule to be modified, starting from 1. + + Example Usage: + inpfile = "Net1.inp" + d = epanet(inpfile) + + # Retrieve and print the current state of the rule at index 1 + x = d.getRuleEnabled(1) + print(f"Rule state before: {x}") + + # Enable the rule at index 1 + d.setRuleEnabled(1) + + # Retrieve and print the state of the rule again to confirm the change + x = d.getRuleEnabled(1) + print(f"Rule state after: {x}") + """ + errcode = self.api.ENsetruleenabled(index, 1) + return errcode + + def setRuleDisabled(self, index): """ Purpose: - Enables or disables a specific rule in the EPANET model. + Disables a specific rule in the EPANET model. Parameters: index (int): The index of the rule to be modified, starting from 1. - enabled (int): The state to set for the rule: - - 0: Disable the rule (False) - - 1: Enable the rule (True) Example Usage: inpfile = "Net1.inp" @@ -13581,13 +13627,13 @@ def setRuleEnabled(self, index, enabled): print(f"Rule state before: {x}") # Enable the rule at index 1 - d.setRuleEnabled(1, 1) + d.setRuleDisabled(1) # Retrieve and print the state of the rule again to confirm the change x = d.getRuleEnabled(1) print(f"Rule state after: {x}") """ - errcode = self.api.ENsetruleenabled(index, enabled) + errcode = self.api.ENsetruleenabled(index, 0) return errcode def openX(self, inpFile, rptFile, outFile): diff --git a/test_unit_update23.py b/test_unit_update23.py index d40fbbd..1904962 100644 --- a/test_unit_update23.py +++ b/test_unit_update23.py @@ -36,16 +36,21 @@ def test_setCurveType(self): self.assertEqual(self.epanetClass.getCurveType(1), ('GENERAL'), 'Wrong Curve Type comment output') - def test_setControlEnabled(self): + def test_setControlEnabledandDissabled(self): self.assertEqual( self.epanetClass.getControlEnabled(1), (1), 'Wrong Control enabled comment output') - self.epanetClass.setControlEnabled(1, 0) + self.epanetClass.setControlDisabled(1) self.assertEqual(self.epanetClass.getControlEnabled(1), (0), 'Wrong Control enabled comment output') + self.epanetClass.setControlEnabled(1) + + self.assertEqual(self.epanetClass.getControlEnabled(1), + (1), 'Wrong Control enabled comment output') + def test_getLinkValuesFLOW(self): self.epanetClass.openHydraulicAnalysis() From 90be47ce2e3eb5cdd43314046ac10e6a2889d10d Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 3 Sep 2024 16:52:01 +0300 Subject: [PATCH 039/183] typo fix getControlRulesCount() -> getControlCount --- epyt/epanet.py | 22 +++++++++++----------- 1 file changed, 11 insertions(+), 11 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 1b778bf..7a02db4 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -717,7 +717,7 @@ def addControls(self, control, *argv): >>> d.getControls(index).to_dict() See also deleteControls, getControls, setControls, - getControlRulesCount. + getControlCount. """ if type(control) is dict: index = [] @@ -1747,10 +1747,10 @@ def deleteControls(self, *argv): >>> d.deleteControls([index_3, index_4]) >>> d.getControls() - See also addControls, setControls, getControls, getControlRulesCount. + See also addControls, setControls, getControls, getControlCount. """ if len(argv) == 0: - index = list(range(1, self.getControlRulesCount() + 1)) + index = list(range(1, self.getControlCount() + 1)) else: index = argv[0] if not isList(index): index = [index] @@ -2537,12 +2537,12 @@ def getControls(self, *argv): else: return value[argv[0]] - def getControlRulesCount(self): + def getControlCount(self): """ Retrieves the number of controls. Example: - >>> d.getControlRulesCount() + >>> d.getControlCount() See also getControls, getRuleCount. """ @@ -2604,7 +2604,7 @@ def getCounts(self): >>> d.getCounts().SimpleControls See also getNodeCount, getNodeJunctionCount, getLinkCount, - getControlRulesCount. + getControlCount. """ value = EpytValues() value.Nodes = self.getNodeCount() @@ -2616,7 +2616,7 @@ def getCounts(self): value.Pumps = self.getLinkPumpCount() value.Valves = self.getLinkValveCount() value.Curves = self.getCurveCount() - value.SimpleControls = self.getControlRulesCount() + value.SimpleControls = self.getControlCount() value.RuleBasedControls = self.getRuleCount() value.Patterns = self.getPatternCount() return value @@ -5967,7 +5967,7 @@ def getRuleCount(self): >>> d.getRuleCount() - See also getRules, getControlRulesCount. + See also getRules, getControlCount. """ return self.api.ENgetcount(self.ToolkitConstants.EN_RULECOUNT) @@ -6748,7 +6748,7 @@ def setControls(self, index, control=None, *argv): >>> d.setControls(1, 0, 13, 0, 11, 30) - See also getControls, getControlRulesCount, addControls, deleteControls. + See also getControls, getControlCount, addControls, deleteControls. """ if type(index) is dict: for key in index: @@ -10636,7 +10636,7 @@ def __createTempfiles(self, BinTempfile): def __getControlIndices(self, *argv): if len(argv) == 0: - indices = list(range(1, self.getControlRulesCount() + 1)) + indices = list(range(1, self.getControlCount() + 1)) else: indices = argv[0] return indices @@ -10741,7 +10741,7 @@ def __getInitParams(self): self.CurveIndex = self.getCurveIndex() # Index of curves self.CurvesInfo = self.getCurvesInfo() # Curves info - self.ControlRulesCount = self.getControlRulesCount() # Number of controls + self.ControlRulesCount = self.getControlCount() # Number of controls self.Controls = self.getControls() # Controls information self.OptionsMaxTrials = self.getOptionsMaxTrials() # Maximum number of trials (40 is default) From 839ef00fdad9a03e782f138864a7148a05d88adb Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 3 Sep 2024 17:03:51 +0300 Subject: [PATCH 040/183] typo fixed with warning to users that already have been using the function --- epyt/epanet.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index 7a02db4..e4878ae 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -2537,6 +2537,8 @@ def getControls(self, *argv): else: return value[argv[0]] + def getControlRulesCount(self): + warnings.warn("This function: getControlRulesCount has been renamed to getControlCount please rename the function") def getControlCount(self): """ Retrieves the number of controls. From 8807f93946d21cf12daeed3865888c34f73deca3 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 3 Sep 2024 17:28:12 +0300 Subject: [PATCH 041/183] getControlEnabled() now works without arguments to get all items update 2.3 --- epyt/epanet.py | 21 +++++++++++++++++++-- 1 file changed, 19 insertions(+), 2 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index e4878ae..d30af8d 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -2539,6 +2539,7 @@ def getControls(self, *argv): def getControlRulesCount(self): warnings.warn("This function: getControlRulesCount has been renamed to getControlCount please rename the function") + def getControlCount(self): """ Retrieves the number of controls. @@ -13486,7 +13487,7 @@ def setVertex(self, index, vertex, x, y): def timetonexteven(self, eventType, duration, elementIndex): self.api.ENtimetonextevent(eventType, duration, elementIndex) - def getControlEnabled(self, index): + def getControlEnabled(self, index = None): """ Purpose: Retrieves the enabled state of a specified control in the EPANET model. @@ -13506,8 +13507,24 @@ def getControlEnabled(self, index): # Retrieve and print the state of the control at index 1 x = d.getControlEnabled(1) print(f"Control state: {x}") + + Example Usage with all items: + inpfile = "Net1.inp" + d = epanet(inpfile) + + # Retrieve and print the state of the control at index 1 + x = d.getControlEnabled() + print(f"Control state: {x}") """ - enabled = self.api.ENgetcontrolenabled(index) + if index == None : + enablelist = [] + iterations = self.getControlCount() + for i in range(1, iterations + 1): + enabled = self.api.ENgetcontrolenabled(i) + enablelist.append(enabled) + return enablelist + else: + enabled = self.api.ENgetcontrolenabled(index) return enabled def setControlEnabled(self, index): From cb0722b665dce598545b8631b07cee6facb42d80 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 3 Sep 2024 17:32:01 +0300 Subject: [PATCH 042/183] getRulesEnabled() now works without arguments to get all items update 2.3 --- epyt/epanet.py | 17 ++++++++++++++++- 1 file changed, 16 insertions(+), 1 deletion(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index d30af8d..c7c9274 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -13579,7 +13579,7 @@ def setControlDisabled(self, index): errcode = self.api.ENsetcontrolenabled(index, 0) return errcode - def getRuleEnabled(self, index): + def getRuleEnabled(self, index = None): """ Purpose: Retrieves the enabled state of a specific rule in the EPANET model. @@ -13599,7 +13599,22 @@ def getRuleEnabled(self, index): # Retrieve and print the current state of the rule at index 1 x = d.getRuleEnabled(1) print(f"Rule state: {x}") + + Example Usage with all items: + inpfile = "Net1.inp" + d = epanet(inpfile) + + # Retrieve and print the current state of the rule at index 1 + x = d.getRuleEnabled() + print(f"Rule state: {x}") """ + if index == None : + enablelist = [] + iterations = self.getRuleCount() + for i in range(1, iterations + 1): + enabled = self.api.ENgetruleenabled(i) + enablelist.append(enabled) + return enablelist enabled = self.api.ENgetruleenabled(index) return enabled From a8b1755fb05e0d4db36cc2beb9c83ff1c4bd2d61 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Sat, 7 Sep 2024 22:23:50 +0300 Subject: [PATCH 043/183] getControlEnabled() renamed to getControlState() for users --- epyt/epanet.py | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index c7c9274..8b95a54 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -13487,7 +13487,7 @@ def setVertex(self, index, vertex, x, y): def timetonexteven(self, eventType, duration, elementIndex): self.api.ENtimetonextevent(eventType, duration, elementIndex) - def getControlEnabled(self, index = None): + def getControlState(self, index = None): """ Purpose: Retrieves the enabled state of a specified control in the EPANET model. @@ -13505,7 +13505,7 @@ def getControlEnabled(self, index = None): d = epanet(inpfile) # Retrieve and print the state of the control at index 1 - x = d.getControlEnabled(1) + x = d.getControlState(1) print(f"Control state: {x}") Example Usage with all items: @@ -13513,7 +13513,7 @@ def getControlEnabled(self, index = None): d = epanet(inpfile) # Retrieve and print the state of the control at index 1 - x = d.getControlEnabled() + x = d.getControlState() print(f"Control state: {x}") """ if index == None : @@ -13540,14 +13540,14 @@ def setControlEnabled(self, index): d = epanet(inpfile) # Retrieve the current state of the control at index 1 - x = d.getControlEnabled(1) + x = d.getControlState(1) print(f"Control state before: {x}") # Disable the control at index 1 d.setControlEnabled(1, 0) # Check the state of the control again - x = d.getControlEnabled(1) + x = d.getControlState(1) print(f"Control state after: {x}") """ errcode = self.api.ENsetcontrolenabled(index, 1) @@ -13566,14 +13566,14 @@ def setControlDisabled(self, index): d = epanet(inpfile) # Retrieve the current state of the control at index 1 - x = d.getControlEnabled(1) + x = d.getControlState(1) print(f"Control state before: {x}") # Disable the control at index 1 d.setControlEnabled(1, 0) # Check the state of the control again - x = d.getControlEnabled(1) + x = d.getControlState(1) print(f"Control state after: {x}") """ errcode = self.api.ENsetcontrolenabled(index, 0) From 801455f90950aadb198a29f068c193836234a7bb Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Sat, 7 Sep 2024 22:27:42 +0300 Subject: [PATCH 044/183] setcontroldisabled and set ruleenabled removed , back with setcontrolenabled --- epyt/epanet.py | 58 +++++--------------------------------------------- 1 file changed, 5 insertions(+), 53 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 8b95a54..86be6d3 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -13527,7 +13527,7 @@ def getControlState(self, index = None): enabled = self.api.ENgetcontrolenabled(index) return enabled - def setControlEnabled(self, index): + def setControlEnabled(self, index, enabled): """ Purpose: Enables a control in the EPANET model. @@ -13550,34 +13550,10 @@ def setControlEnabled(self, index): x = d.getControlState(1) print(f"Control state after: {x}") """ - errcode = self.api.ENsetcontrolenabled(index, 1) + errcode = self.api.ENsetcontrolenabled(index, enabled) return errcode - def setControlDisabled(self, index): - """ - Purpose: - Disables a control in the EPANET model. - - Parameters: - index (int): The index of the control to be modified, starting from 1. - Example Usage: - inpfile = "Net1.inp" - d = epanet(inpfile) - - # Retrieve the current state of the control at index 1 - x = d.getControlState(1) - print(f"Control state before: {x}") - - # Disable the control at index 1 - d.setControlEnabled(1, 0) - - # Check the state of the control again - x = d.getControlState(1) - print(f"Control state after: {x}") - """ - errcode = self.api.ENsetcontrolenabled(index, 0) - return errcode def getRuleEnabled(self, index = None): """ @@ -13618,7 +13594,7 @@ def getRuleEnabled(self, index = None): enabled = self.api.ENgetruleenabled(index) return enabled - def setRuleEnabled(self, index): + def setRuleEnabled(self, index, enabled): """ Purpose: Enables a specific rule in the EPANET model. @@ -13635,40 +13611,16 @@ def setRuleEnabled(self, index): print(f"Rule state before: {x}") # Enable the rule at index 1 - d.setRuleEnabled(1) + d.setRuleEnabled(1,1) # Retrieve and print the state of the rule again to confirm the change x = d.getRuleEnabled(1) print(f"Rule state after: {x}") """ - errcode = self.api.ENsetruleenabled(index, 1) + errcode = self.api.ENsetruleenabled(index, enabled) return errcode - def setRuleDisabled(self, index): - """ - Purpose: - Disables a specific rule in the EPANET model. - - Parameters: - index (int): The index of the rule to be modified, starting from 1. - - Example Usage: - inpfile = "Net1.inp" - d = epanet(inpfile) - - # Retrieve and print the current state of the rule at index 1 - x = d.getRuleEnabled(1) - print(f"Rule state before: {x}") - - # Enable the rule at index 1 - d.setRuleDisabled(1) - # Retrieve and print the state of the rule again to confirm the change - x = d.getRuleEnabled(1) - print(f"Rule state after: {x}") - """ - errcode = self.api.ENsetruleenabled(index, 0) - return errcode def openX(self, inpFile, rptFile, outFile): self.api.ENopenX(inpFile, rptFile, outFile) From 3a3767e113d6d84464eaad6ed6d3aa2dfc56cb24 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 10 Sep 2024 10:01:47 +0300 Subject: [PATCH 045/183] new param added update 2.3 to create setStartTime() --- epyt/epanet.py | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index 86be6d3..f20b1c3 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -9645,6 +9645,15 @@ def setTimePatternStart(self, value): """ self.api.ENsettimeparam(self.ToolkitConstants.EN_PATTERNSTART, value) + def setStartTime(self, value): + """Sets the start time for the simulation. + + Parameters: + value (long): The start time of the simulation in seconds. + Warning: The value must be smaller than the total number of seconds + in a day (i.e., 86400 seconds).""" + self.api.ENsettimeparam(self.ToolkitConstants.EN_STARTTIME, value) + def setTimePatternStep(self, value): """ Sets the time pattern step. From 76265d815998925ed16a62267bd745df94d2e910 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 10 Sep 2024 10:16:16 +0300 Subject: [PATCH 046/183] 4 new option constants added for update 2.3 --- epyt/epanet.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index f20b1c3..3bf0221 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -240,6 +240,10 @@ def __init__(self): EN_WALLORDER = 20 EN_TANKORDER = 21 EN_CONCENLIMIT = 22 + EN_DEMANDPATTERN = 23 + EN_EMITBACKFLOW = 24 + EN_PRESS_UNITS = 25 + EN_STATUS_REPORT = 26 # Control types EN_LOWLEVEL = 0 From 6219e516ef028fe8ca0b45fc798dd7c76458c7ea Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 10 Sep 2024 10:26:59 +0300 Subject: [PATCH 047/183] setPressureUnit() for options (function) added. update 2.3 --- epyt/epanet.py | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index 3bf0221..55be899 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -9148,6 +9148,15 @@ def setOptionsTankBulkReactionOrder(self, value): See also getOptionsTankBulkReactionOrder, setOptionsPipeBulkReactionOrder, setOptionsPipeWallReactionOrder. """ return self.api.ENsetoption(self.ToolkitConstants.EN_TANKORDER, value) + + def setPressureUnit(self, value): + """Sets the pressure unit used in Epanet + Example: + inpfile = "Net3.inp" + d = epanet(inpfile) + d.setPressureUnit(1)""" + + return self.api.ENsetoption(self.ToolkitConstants.EN_PRESS_UNITS, value) def setQualityType(self, *argv): """ Sets the type of water quality analysis called for. From 927b36b622f256d83aaf9869df65649e6fcaef26 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 10 Sep 2024 10:48:13 +0300 Subject: [PATCH 048/183] getPressureUnit() function added update 2.3 --- epyt/epanet.py | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index 55be899..2446f97 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -5692,6 +5692,12 @@ def getOptionsTankBulkReactionOrder(self): """ return int(self.api.ENgetoption(self.ToolkitConstants.EN_TANKORDER)) + def getPressureUnit(self): + """ + Gets the pressure unit used in Epanet + """ + return int(self.api.ENgetoption(self.ToolkitConstants.EN_PRESS_UNITS)) + def getPattern(self): """ Retrieves the multiplier factor for all patterns and all times. From 02de18f190d1e64859709ab8a57f9cff9c6eecc8 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 10 Sep 2024 11:12:01 +0300 Subject: [PATCH 049/183] new constants for nodes update 2.3 --- epyt/epanet.py | 12 +++++++++++- 1 file changed, 11 insertions(+), 1 deletion(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 2446f97..e30e599 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -123,7 +123,11 @@ def __init__(self): EN_MAXVOLUME = 25 EN_CANOVERFLOW = 26 EN_DEMANDDEFICIT = 27 - + EN_NODE_INCONTROL = 28 + EN_EMITTERFLOW = 29 + EN_LEAKAGEFLOW = 30 + EN_DEMANDFLOW = 31 + EN_FULLDEMAND = 32 # Link parameters EN_DIAMETER = 0 EN_LENGTH = 1 @@ -9164,6 +9168,12 @@ def setPressureUnit(self, value): return self.api.ENsetoption(self.ToolkitConstants.EN_PRESS_UNITS, value) + def setStatusReport(self, value): + """Sets the status report for epanet + (`EN_NO_REPORT`, `EN_NORMAL_REPORT` or `EN_FULL_REPORT`). + """ + return self.api.ENsetoption(self.ToolkitConstants.EN_STATUS_REPORT, value) + def setQualityType(self, *argv): """ Sets the type of water quality analysis called for. From 15708135640fe82c11c19a825ee3cc8fb9d90187 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 10 Sep 2024 11:15:26 +0300 Subject: [PATCH 050/183] get statusreport/nodeemitterflow() added update 2.3 --- epyt/epanet.py | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index e30e599..c26f5a4 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -4324,6 +4324,11 @@ def getNodeEmitterCoeff(self, *argv): See also setNodeEmitterCoeff, getNodesInfo, getNodeElevations. """ return self.__getNodeInfo(self.ToolkitConstants.EN_EMITTER, *argv) + + def getNodeEmitterFlow(self, index): + """Retrieves node emmiter flow""" + + return self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_EMITTERFLOW) def getNodeHydraulicHead(self, *argv): """ Retrieves the computed values of all node hydraulic heads. @@ -5701,6 +5706,12 @@ def getPressureUnit(self): Gets the pressure unit used in Epanet """ return int(self.api.ENgetoption(self.ToolkitConstants.EN_PRESS_UNITS)) + + def getStatusReport(self): + """ Gets the status report , + (`EN_NO_REPORT`, `EN_NORMAL_REPORT` or `EN_FULL_REPORT`).""" + + return (self.api.ENgetoption(self.ToolkitConstants.EN_STATUS_REPORT)) def getPattern(self): """ From c25114fb5208d6ae59e3d092218b2ce98441a4ec Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 10 Sep 2024 11:18:52 +0300 Subject: [PATCH 051/183] new constants added update 2.3 --- epyt/epanet.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index c26f5a4..26e898a 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -320,6 +320,10 @@ def __init__(self): EN_R_IS_CLOSED = 2 EN_R_IS_ACTIVE = 3 + EN_MISSING = -1.0E10 + EN_SET_CLOSED = -1.0E10 + EN_SET_OPEN = 1.0E10 + # MSX Constants MSX_NODE = 0 MSX_LINK = 1 From 454a847bdf9a4a09776b18607582f6fbcb9ce09d Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 10 Sep 2024 11:27:01 +0300 Subject: [PATCH 052/183] new link constants parameters added for update 2.3 --- epyt/epanet.py | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 26e898a..9039e44 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -152,7 +152,12 @@ def __init__(self): EN_PUMP_ECURVE = 20 EN_PUMP_ECOST = 21 EN_PUMP_EPAT = 22 - + EN_LINK_INCONTROL = 23 + EN_GPV_CURVE = 24 + EN_PCV_CURVE = 25 + EN_LEAK_AREA = 26 + EN_LEAK_EXPAN = 27 + EN_LINK_LEAKAGE = 28 # Time parameters EN_DURATION = 0 EN_HYDSTEP = 1 From 6b2b79016bc1ce420617fddbce190f67b0948c56 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 10 Sep 2024 11:52:55 +0300 Subject: [PATCH 053/183] set/get for GPVCurver and PVCCurve --- epyt/epanet.py | 14 ++++++++++++++ 1 file changed, 14 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index 9039e44..7df4648 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -13718,7 +13718,21 @@ def getLinkValues(self, property): d.closeHydraulicAnalysis()""" values = self.api.ENgetlinkvalues(property) return values + + def getGPVCurve(self): + + return self.api.ENgetlinkvalues(self.ToolkitConstants.EN_GPV_CURVE) + def getPCVCurve(self): + + return self.api.ENgetlinkvalues(self.ToolkitConstants.EN_PCV_CURVE) + + def setGPVCurve(self, index, value): + + self.api.ENsetlinkvalue(index, self.ToolkitConstants.EN_GPV_CURVE, value) + + def setPCVCurve(self, index, value): + return self.api.ENsetlinkvalues(index, self.ToolkitConstants.EN_PCV_CURVE, value) class epanetapi: """ EPANET Toolkit functions - API From be076b3fd92cc13584e524196e95529fbb19bea5 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 10 Sep 2024 11:53:09 +0300 Subject: [PATCH 054/183] get/set DefaultTimePat update 2.3 --- epyt/epanet.py | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index 7df4648..f167b47 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -13733,6 +13733,15 @@ def setGPVCurve(self, index, value): def setPCVCurve(self, index, value): return self.api.ENsetlinkvalues(index, self.ToolkitConstants.EN_PCV_CURVE, value) + + def getDefaultTimePat(self): + + return self.api.ENgetoption(self.ToolkitConstants.EN_DEMANDPATTERN) + + def setDefaultTimePat(self, value): + + self.api.ENsetoption(self.ToolkitConstants.EN_DEMANDPATTERN, value) + class epanetapi: """ EPANET Toolkit functions - API From 64229250c288c74e1ccbb478b593022765b3eb95 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 10 Sep 2024 12:12:55 +0300 Subject: [PATCH 055/183] Curve constants added 2.3 update --- epyt/epanet.py | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index f167b47..91ab85e 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -278,6 +278,18 @@ def __init__(self): EN_INITFLOW = 10 EN_SAVE_AND_INIT = 11 + EN_CONST_HP = 0 # Constant horsepower pump curve + EN_POWER_FUNC = 1 # Power function pump curve + EN_CUSTOM = 2 # User-defined custom pump curve + EN_NOCURVE = 3 # No pump curve + + EN_VOLUME_CURVE = 0 # Volume curve + EN_PUMP_CURVE = 1 # Pump curve + EN_EFFIC_CURVE = 2 # Efficiency curve + EN_HLOSS_CURVE = 3 # Head loss curve + EN_GENERIC_CURVE = 4 # Generic curve + EN_VALVE_CURVE = 5 # Valve position curve + # ObjectType EN_NODE = 0 EN_LINK = 1 From f4052851203f36bb27390a9afb0de734521fff5e Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 10 Sep 2024 12:15:25 +0300 Subject: [PATCH 056/183] typepump comment --- epyt/epanet.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 91ab85e..06bbe5c 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -559,7 +559,7 @@ def __init__(self, *argv, version=2.2, ph=False, loadfile=False, customlib=None, # Node types self.TYPENODE = ['JUNCTION', 'RESERVOIR', 'TANK'] # Constants for pumps - self.TYPEPUMP = ['CONSTANT_HORSEPOWER', 'POWER_FUNCTION', 'CUSTOM', 'NO_CURVE'] + self.TYPEPUMP = ['CONSTANT_HORSEPOWER', 'POWER_FUNCTION', 'CUSTOM', 'NO_CURVE'] # index starts from 0 # Link PUMP status self.TYPEPUMPSTATE = ['XHEAD', '', 'CLOSED', 'OPEN', '', 'XFLOW'] # Constants for quality From 3afab227a80502a1791e352dc2060f1510866179 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 10 Sep 2024 13:07:53 +0300 Subject: [PATCH 057/183] Constant added update 2.3 --- epyt/epanet.py | 1 + 1 file changed, 1 insertion(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index 06bbe5c..327f132 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -331,6 +331,7 @@ def __init__(self): EN_MASSBALANCE = 4 EN_DEFICIENTNODES = 5 EN_DEMANDREDUCTION = 6 + EN_LEAKAGELOSS = 7 # Link status codes used in rule-based controls EN_R_IS_OPEN = 1 From 8c1dee0d17a2b594d2be2c2461910cc31aa90bd3 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 10 Sep 2024 14:27:16 +0300 Subject: [PATCH 058/183] get/set LinkLeakArea & LinkExpansionProp --- epyt/epanet.py | 16 ++++++++++++++++ 1 file changed, 16 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index 327f132..56d4c70 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -13754,7 +13754,23 @@ def getDefaultTimePat(self): def setDefaultTimePat(self, value): self.api.ENsetoption(self.ToolkitConstants.EN_DEMANDPATTERN, value) + + def getLinkLeakArea(self): + + return self.api.ENgetlinkvalues(self.ToolkitConstants.EN_LEAK_AREA) + + def getLinkExpansionProp(self): + + return self.api.ENgetlinkvalues(self.ToolkitConstants.EN_LEAK_EXPAN) + + def setLinkLeakArea(self, index, value): + + self.api.ENsetlinkvalue(index,self.ToolkitConstants.EN_LEAK_AREA, value) + def setLinkExpansionProp(self, index, value): + + self.api.ENsetlinkvalue(index,self.ToolkitConstants.EN_LEAK_EXPAN, value) + class epanetapi: """ EPANET Toolkit functions - API From 76fe5cf8311118118f2cb8b6bb8d4ed60fdfb3cf Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 10 Sep 2024 14:30:54 +0300 Subject: [PATCH 059/183] getLinkLeakageRate() added 2.3 update --- epyt/epanet.py | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 56d4c70..29100ef 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -13766,11 +13766,16 @@ def getLinkExpansionProp(self): def setLinkLeakArea(self, index, value): self.api.ENsetlinkvalue(index,self.ToolkitConstants.EN_LEAK_AREA, value) - + def setLinkExpansionProp(self, index, value): self.api.ENsetlinkvalue(index,self.ToolkitConstants.EN_LEAK_EXPAN, value) + def getLinkLeakageRate(self): + + return self.api.ENgetlinkvalues(self.ToolkitConstants.EN_LINK_LEAKAGE) + + class epanetapi: """ EPANET Toolkit functions - API From 962b9609682e90742af6a107a5e1ba81c661cea5 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 10 Sep 2024 14:46:46 +0300 Subject: [PATCH 060/183] getNodeLeageDemand & getTotalLeageLoss added, update 2.3 --- epyt/epanet.py | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index 29100ef..5638e0b 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -13774,7 +13774,14 @@ def setLinkExpansionProp(self, index, value): def getLinkLeakageRate(self): return self.api.ENgetlinkvalues(self.ToolkitConstants.EN_LINK_LEAKAGE) + + def getNodeLeakageDeamand(self): + + return self.api.ENgetnodevalue(self.ToolkitConstants.EN_LEAKAGEFLOW) + + def getTotalLeakageLoss(self): + return self.api.ENgetstatistic(self.ToolkitConstants.EN_LEAKAGELOSS) class epanetapi: """ From 68980d3e5b40d240d42149ef0abf25443a5bca01 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 10 Sep 2024 14:51:24 +0300 Subject: [PATCH 061/183] new functions from update 2.3 --- epyt/epanet.py | 25 +++++++++++++++++++++++++ 1 file changed, 25 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index 5638e0b..afa9f6e 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -13782,6 +13782,31 @@ def getNodeLeakageDeamand(self): def getTotalLeakageLoss(self): return self.api.ENgetstatistic(self.ToolkitConstants.EN_LEAKAGELOSS) + + def getConsumerDemandReq(self): + + return self.api.ENgetnodevalue(self.ToolkitConstants.EN_FULLDEMAND) + + def getConsumerDemandDel(self): + + return self.api.ENgetnodevalue(self.ToolkitConstants.EN_DEMANDFLOW) + + def getConsumerDemandDiff(self): + + return self.api.ENgetnodevalue(self.ToolkitConstants.EN_DEMANDDEFICIT) + + def getNodeEmitterFlow(self): + + return self.api.ENgetnodevalue(self.ToolkitConstants.EN_EMITTERFLOW) + + def getNodeLeakageFlow(self): + + return self.api.ENgetnodevalue(self.ToolkitConstants.EN_LEAKAGEFLOW) + + def getNodeSumDemandandFLow(self): + + return self.api.ENgetnodevalue(self.ToolkitConstants.EN_DEMAND) + class epanetapi: """ From 8414557acc8e49ef390e37e0beb24a21655170f2 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 12 Sep 2024 14:39:43 +0300 Subject: [PATCH 062/183] setCurveType() -> split into 5 types setCurveTypeVolume(),setCurveTypePump,(),setCurveTypeEfficiency(),setCurveTypeHeadloss() and setCurveTypeGeneral() --- epyt/epanet.py | 102 +++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 102 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index afa9f6e..7a1f1e0 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -200,6 +200,7 @@ def __init__(self): EN_FCV = 6 EN_TCV = 7 EN_GPV = 8 + EN_PCV = 9 # Quality analysis types EN_NONE = 0 @@ -13522,6 +13523,107 @@ def setCurveType(self, index, type): errcode = self.api.ENsetcurvetype(index, type) return errcode + def setCurveTypeVolume(self, index): + """Purpose: + Sets the type of a curve to Volume in the EPANET model. + + Parameters: + index (int): The index of the curve to modify. + + Returns: + int: An error code indicating success or failure of the operation. + + Example Usage: + inp_filename = "Net1.inp" + + d = epanet(inp_filename) + errcode = d.setCurveTypeVolume(1) + curve_type = d.getCurveType(1) + """ + errcode = self.api.ENsetcurvetype(index, 0) + return errcode + + def setCurveTypePump(self, index): + """Purpose: + Sets the type of a curve to Pump in the EPANET model. + + Parameters: + index (int): The index of the curve to modify. + + Returns: + int: An error code indicating success or failure of the operation. + + Example Usage: + inp_filename = "Net1.inp" + + d = epanet(inp_filename) + errcode = d.setCurveTypePump(1) + curve_type = d.getCurveType(1) + """ + errcode = self.api.ENsetcurvetype(index, 1) + return errcode + + def setCurveTypeEfficiency(self, index): + """Purpose: + Sets the type of curve to Efficiency in the EPANET model. + + Parameters: + index (int): The index of the curve to modify. + + Returns: + int: An error code indicating success or failure of the operation. + + Example Usage: + inp_filename = "Net1.inp" + + d = epanet(inp_filename) + errcode = d.setCurveTypeEfficiency(1) + curve_type = d.getCurveType(1) + """ + errcode = self.api.ENsetcurvetype(index, 2) + return errcode + + def setCurveTypeHeadloss(self, index): + """Purpose: + Sets the type of a curve to Headloss in the EPANET model. + + Parameters: + index (int): The index of the curve to modify. + + Returns: + int: An error code indicating success or failure of the operation. + + Example Usage: + inp_filename = "Net1.inp" + + d = epanet(inp_filename) + errcode = d.setCurveTypeHeadloss(1) + curve_type = d.getCurveType(1) + """ + errcode = self.api.ENsetcurvetype(index, 3) + return errcode + + def setCurveTypeGeneral(self, index): + """Purpose: + Sets the type of a curve to general in the EPANET model. + + Parameters: + index (int): The index of the curve to modify. + + Returns: + int: An error code indicating success or failure of the operation. + + Example Usage: + inp_filename = "Net1.inp" + + d = epanet(inp_filename) + errcode = d.setCurveTypeGeneral(1) + curve_type = d.getCurveType(1) + """ + errcode = self.api.ENsetcurvetype(index, 4) + return errcode + + def setVertex(self, index, vertex, x, y): """ Purpose: From 0ecad3bb01a8ef44a9c5ca56ba9f299a9b4f0b27 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 12 Sep 2024 14:46:28 +0300 Subject: [PATCH 063/183] The method set /get GPVCurve has been renamed to set/get LinkValveCurveGPV to provide clearer naming and indicate the relationship to link valve GPV/PCV curves. --- epyt/epanet.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index 7a1f1e0..6d43a99 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -13835,17 +13835,21 @@ def getLinkValues(self, property): return values def getGPVCurve(self): + def getLinkValveCurveGPV(self): return self.api.ENgetlinkvalues(self.ToolkitConstants.EN_GPV_CURVE) def getPCVCurve(self): + def getLinkValveCurvePCV(self): return self.api.ENgetlinkvalues(self.ToolkitConstants.EN_PCV_CURVE) def setGPVCurve(self, index, value): + def setLinkValveCurveGPV(self, index, value): self.api.ENsetlinkvalue(index, self.ToolkitConstants.EN_GPV_CURVE, value) def setPCVCurve(self, index, value): + def setLinkValveCurvePCV(self, index, value): return self.api.ENsetlinkvalues(index, self.ToolkitConstants.EN_PCV_CURVE, value) From 8932fb600de1ebfdc3d9dfa7671bff8ee3100733 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 12 Sep 2024 14:46:59 +0300 Subject: [PATCH 064/183] + --- epyt/epanet.py | 4 ---- 1 file changed, 4 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 6d43a99..ed9802a 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -13834,21 +13834,17 @@ def getLinkValues(self, property): values = self.api.ENgetlinkvalues(property) return values - def getGPVCurve(self): def getLinkValveCurveGPV(self): return self.api.ENgetlinkvalues(self.ToolkitConstants.EN_GPV_CURVE) - def getPCVCurve(self): def getLinkValveCurvePCV(self): return self.api.ENgetlinkvalues(self.ToolkitConstants.EN_PCV_CURVE) - def setGPVCurve(self, index, value): def setLinkValveCurveGPV(self, index, value): self.api.ENsetlinkvalue(index, self.ToolkitConstants.EN_GPV_CURVE, value) - def setPCVCurve(self, index, value): def setLinkValveCurvePCV(self, index, value): return self.api.ENsetlinkvalues(index, self.ToolkitConstants.EN_PCV_CURVE, value) From 1dfdce4e0700e087aff892154fb741571727551c Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 12 Sep 2024 14:56:17 +0300 Subject: [PATCH 065/183] set/get timestarttime has been renamed to set/get TimeClockStartTime() to provide clearer naming --- epyt/epanet.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index ed9802a..198d526 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -6348,7 +6348,7 @@ def getTimeReportingPeriods(self): """ return self.api.ENgettimeparam(self.ToolkitConstants.EN_PERIODS) - def getTimeStartTime(self): + def getTimeStartClockStartTime(self): """ Retrieves the simulation starting time of day. Example: @@ -9708,7 +9708,7 @@ def setTimePatternStart(self, value): """ self.api.ENsettimeparam(self.ToolkitConstants.EN_PATTERNSTART, value) - def setStartTime(self, value): + def setTimeClockStartTime(self, value): """Sets the start time for the simulation. Parameters: From aa6a3c1704d349e9a78593c1bf3dfc4384b25798 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 12 Sep 2024 15:15:08 +0300 Subject: [PATCH 066/183] Performance Example for new function getLinkValues() update 2.3 --- ...e_example_getLinkFlows_vs_getLinkValues.py | 81 +++++++++++++++++++ 1 file changed, 81 insertions(+) create mode 100644 epyt/examples/python/EX_performance_example_getLinkFlows_vs_getLinkValues.py diff --git a/epyt/examples/python/EX_performance_example_getLinkFlows_vs_getLinkValues.py b/epyt/examples/python/EX_performance_example_getLinkFlows_vs_getLinkValues.py new file mode 100644 index 0000000..4e8b853 --- /dev/null +++ b/epyt/examples/python/EX_performance_example_getLinkFlows_vs_getLinkValues.py @@ -0,0 +1,81 @@ +from epyt import epanet +import time + +""" + Performance Example Summary: + +Objective: + + To compare the execution speed of two functions, getLinkFlows vs. getLinkValues. + +Criteria: + + The main criterion for comparison was speed. + Both functions were tested under the same simulation conditions. + +Test Setup: + + The simulation was designed to extract link flow values: + getLinkFlows: Extracts flows for all links - 1. + getLinkValues: Extracts the flow values for all links. + +Results: + + getLinkFlows: Extracted fewer values (flows set to -1). + getLinkValues: Extracted all actual flow values for each link, + processing more data than getLinkFlows. + Despite extracting more data, getLinkValues performed faster than getLinkFlows. + +Conclusion: + + The function getLinkValues was more efficient in terms of speed, + even though it processed and returned more values compared to getLinkFlows. +""" + + + +inp= "Net1.inp" +d = epanet(inp) + +d.setTimeSimulationDuration(1000*3600*24) +start_time = time.time() +d.openHydraulicAnalysis() +d.initializeHydraulicAnalysis() +numbers = [i for i in range(1, 13)] +tstep = 1 +T_H, Ft, Fb = [], [], [] +while tstep > 0: + t = d.runHydraulicAnalysis() + #flow test + Fb.append(d.getLinkFlows(numbers)) + T_H.append(t) + tstep = d.nextHydraulicAnalysisStep() + +d.closeHydraulicAnalysis() +print(Fb) +end_time = time.time() +timeforold = end_time - start_time +print(f"Time taken by old function: {timeforold} seconds") +d.unload() + +d = epanet(inp) +start_time = time.time() + +d.openHydraulicAnalysis() +d.initializeHydraulicAnalysis() + +tstep = 1 +T_H, Ft, Fb = [], [], [] +while tstep > 0: + t = d.runHydraulicAnalysis() + #flow test + Ft.append(d.getLinkValues(d.ToolkitConstants.EN_FLOW)) + T_H.append(t) + tstep = d.nextHydraulicAnalysisStep() + +d.closeHydraulicAnalysis() +print(Ft) +end_time = time.time() +timefornew = end_time - start_time +print(f"Time taken by newfunction: {timefornew} seconds") +print(f"The new function is faster by {timeforold-timefornew} seconds") \ No newline at end of file From 13d44bba5a13bc6400295e0640db8837d60ba8c2 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 12 Sep 2024 15:24:35 +0300 Subject: [PATCH 067/183] getPatternAverageDefaultValue() update 2.3 function --- epyt/epanet.py | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index 198d526..b44ad13 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -5774,6 +5774,14 @@ def getPatternAverageValue(self): value.append(self.api.ENgetaveragepatternvalue(i)) return value + def getPatternAverageDefaultValue(self): + """Retrieves the average value of the default pattern + + Example: + d = epanet(network.inp) + d.getPatternAverageDefaultValue() """ + return self.api.ENgetaveragepatternvalue(0) + def getPatternComment(self, *argv): """ Retrieves the comment string assigned to the pattern object. From f999c99639d56a1a8db4e3839aab4e876be73496 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 12 Sep 2024 16:13:35 +0300 Subject: [PATCH 068/183] set/get OptionsDemandPattern() update 2.3 update --- epyt/epanet.py | 30 +++++++++++++++++++++--------- 1 file changed, 21 insertions(+), 9 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index b44ad13..d1d4528 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -5781,7 +5781,7 @@ def getPatternAverageDefaultValue(self): d = epanet(network.inp) d.getPatternAverageDefaultValue() """ return self.api.ENgetaveragepatternvalue(0) - + def getPatternComment(self, *argv): """ Retrieves the comment string assigned to the pattern object. @@ -6361,7 +6361,7 @@ def getTimeStartClockStartTime(self): Example: - >>> d.getTimeStartTime() + >>> d.getTimeStartClockStartTime() See also getTimeSimulationDuration, getTimePatternStart. """ @@ -6396,7 +6396,7 @@ def getTimeHaltFlag(self): >>> d.getTimeHaltFlag() - See also getTimeStartTime, getTimeSimulationDuration. + See also getTimeStartClockStartTime, getTimeSimulationDuration. """ return self.api.ENgettimeparam(self.ToolkitConstants.EN_HALTFLAG) @@ -9799,7 +9799,7 @@ def setTimeSimulationDuration(self, value): >>> d.setTimeSimulationDuration(simulationDuration) >>> d.getTimeSimulationDuration() - See also getTimeSimulationDuration(), getTimeStartTime(), getTimeHaltFlag(). + See also getTimeSimulationDuration(), getTimeStartClockStartTime(), getTimeHaltFlag(). """ self.api.ENsettimeparam(self.ToolkitConstants.EN_DURATION, value) @@ -10870,7 +10870,7 @@ def __getInitParams(self): self.TimeStatisticsType = self.getTimeStatisticsType() # Type ('NONE', 'AVERAGE', 'MINIMUM', # 'MAXIMUM', 'RANGE') self.TimeReportingPeriods = self.getTimeReportingPeriods() # Reporting periods - self.TimeStartTime = self.getTimeStartTime() # Number of start time + self.TimeStartTime = self.getTimeStartClockStartTime() # Number of start time self.TimeHTime = self.getTimeHTime() # Number of htime self.TimeHaltFlag = self.getTimeHaltFlag() # Number of halt flag self.TimeNextEvent = self.getTimeNextEvent() # Find the next event of the hydraulic time step length, @@ -13855,14 +13855,26 @@ def setLinkValveCurveGPV(self, index, value): def setLinkValveCurvePCV(self, index, value): - return self.api.ENsetlinkvalues(index, self.ToolkitConstants.EN_PCV_CURVE, value) + return self.api.ENsetlinkvalue(index, self.ToolkitConstants.EN_PCV_CURVE, value) + + def getOptionsDemandPattern(self): + """Retrieves the default Demand pattern. + + Example: + inpfile = "Richmond_standard.inp" + d = epanet(inpfile) + d.printv(d.getOptionsDemandPattern())""" - def getDefaultTimePat(self): - return self.api.ENgetoption(self.ToolkitConstants.EN_DEMANDPATTERN) - def setDefaultTimePat(self, value): + def setOptionsDemandPattern(self, value): + """ Retrieves the default Demand pattern. + Example: + inpfile = "Richmond_standard.inp" + d = epanet(inpfile) + d.setOptionsDemandPattern(3) + d.printv(d.getOptionsDemandPattern())""" self.api.ENsetoption(self.ToolkitConstants.EN_DEMANDPATTERN, value) def getLinkLeakArea(self): From a6cd3665d82cae71334ccb94a9b0ca5ee572320f Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 12 Sep 2024 17:19:36 +0300 Subject: [PATCH 069/183] Warning message if the network is not fully connected update 2.3 (now networks open even if they are not fully connected) --- epyt/epanet.py | 17 +++++++++++++++++ 1 file changed, 17 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index d1d4528..137587d 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -672,6 +672,8 @@ def __init__(self, *argv, version=2.2, ph=False, loadfile=False, customlib=None, self.LibEPANET = self.api.LibEPANET if self.display_msg: print(f'Input File {self.netName} loaded successfully.\n') + if not self.isConnected(): + warnings.warn("The network is not fully connected, one or more link(s) are missing.",UserWarning) def addControls(self, control, *argv): """ Adds a new simple control. @@ -13929,6 +13931,21 @@ def getNodeSumDemandandFLow(self): return self.api.ENgetnodevalue(self.ToolkitConstants.EN_DEMAND) + def isConnected(self): + matrix = self.getConnectivityMatrix() + n = len(matrix) + visited = [False] * n + def dfs(node): + visited[node] = True + for neighbor in range(n): + if matrix[node][neighbor] == 1 and not visited[neighbor]: + dfs(neighbor) + dfs(0) + if all(visited): + return True + else: + return False + class epanetapi: """ From 589facdcad583805380328c64ecd682a82ab466f Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Fri, 13 Sep 2024 10:45:28 +0300 Subject: [PATCH 070/183] 2 functions added update 2.3 (addLinkValvePCV + setLinkTypeValvePCV) --- epyt/epanet.py | 56 +++++++++++++++++++++++++++++++++++++++++++++++++- 1 file changed, 55 insertions(+), 1 deletion(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 137587d..b8207c3 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -555,7 +555,7 @@ def __init__(self, *argv, version=2.2, ph=False, loadfile=False, customlib=None, self.DEMANDMODEL = ['DDA', 'PDA'] # Link types self.TYPELINK = ['CVPIPE', 'PIPE', 'PUMP', 'PRV', 'PSV', - 'PBV', 'FCV', 'TCV', 'GPV'] + 'PBV', 'FCV', 'TCV', 'GPV', 'PCV'] # Constants for mixing models self.TYPEMIXMODEL = ['MIX1', 'MIX2', 'FIFO', 'LIFO'] # Node types @@ -1109,6 +1109,26 @@ def addLinkValveGPV(self, vID, fromNode, toNode): return self.api.ENaddlink(vID, self.ToolkitConstants.EN_GPV, fromNode, toNode) + def addLinkValvePCV(self, vID, fromNode, toNode): + """ Adds a new PCV valve. + Returns the index of the new PCV valve. + + The example is based on d = epanet('Net1.inp') + + Example: + + >>> valveID = 'newValvePCV' + >>> fromNode = '10' + >>> toNode = '21' + >>> valveIndex = d.addLinkValvePCV(valveID, fromNode, toNode) + >>> d.plot() + + See also plot, setLinkNodesIndex, addLinkPipe, + addLinkValvePCV, deleteLink, setLinkTypeValvePCV. + """ + return self.api.ENaddlink(vID, self.ToolkitConstants.EN_PCV, + fromNode, toNode) + def addLinkValvePBV(self, vID, fromNode, toNode): """ Adds a new PBV valve. Returns the index of the new PBV valve. @@ -7852,6 +7872,38 @@ def setLinkTypeValveGPV(self, Id, *argv): index = self.__checkLinkIfString(Id) return self.api.ENsetlinktype(index, self.ToolkitConstants.EN_GPV, condition) + def setLinkTypeValvePCV(self, Id, *argv): + """ Sets the link type valve PCV(Position control valve) for a specified link. + + Note: + * condition = 0 | if is EN_UNCONDITIONAL: Delete all controls that contain object + * condition = 1 | if is EN_CONDITIONAL: Cancel object type change if contained in controls + + Default condition is 0. + + Example 1: + + >>> d.getLinkType(1) # Retrieves the type of the 1st link + >>> linkid = d.getLinkPipeNameID(1) # Retrieves the ID of the 1t pipe + >>> index = d.setLinkTypeValvePCV(linkid) # Changes the 1st pipe to valve PCV given it's ID + >>> d.getLinkType(index) + + Example 2: + + >>> linkid = d.getLinkPipeNameID(1) + >>> condition = 1 + >>> index = d.setLinkTypeValvePCV(linkid, condition) # Changes the 1st pipe to valve PCV given it's ID and a condition (if possible) + >>> d.getLinkType(index) + + See also getLinkType, getLinkPipeNameID, setLinkTypePipe, + setLinkTypePump, setLinkTypeValveFCV. + """ + condition = 0 # default + if len(argv) == 1: + condition = argv[0] + index = self.__checkLinkIfString(Id) + return self.api.ENsetlinktype(index, self.ToolkitConstants.EN_PCV, condition) + def setLinkTypeValvePBV(self, Id, *argv): """ Sets the link type valve PBV(pressure breaker valve) for a specified link. @@ -16936,6 +16988,8 @@ def ENwriteline(self, line): self.ENgeterror() + + class epanetmsxapi: """example msx = epanetmsxapi()""" From ce8743313a8b22541e9c8db7bc381bdf4c829c9f Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Fri, 13 Sep 2024 11:32:08 +0300 Subject: [PATCH 071/183] new functions added set/get OptionsEmitterBackFlow() update 2.3 --- epyt/epanet.py | 32 +++++++++++++++++++++++++++++++- 1 file changed, 31 insertions(+), 1 deletion(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index b8207c3..13ce9e2 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -13930,7 +13930,37 @@ def setOptionsDemandPattern(self, value): d.setOptionsDemandPattern(3) d.printv(d.getOptionsDemandPattern())""" self.api.ENsetoption(self.ToolkitConstants.EN_DEMANDPATTERN, value) - + + def getOptionsEmitterBackFlow(self): + """ + Retrieves the current setting for allowing reverse flow through emitters. + + Example: + inpfile = "Richmond_standard.inp" + d = epanet(inpfile) + d.printv(d.getOptionsEmitBackFlow()) + + Returns: + int: 1 if reverse flow is allowed (default), 0 if not. + """ + return int(self.api.ENgetoption(self.ToolkitConstants.EN_EMITBACKFLOW)) + + def setOptionsEmitterBackFlow(self, value): + """ + Sets the option to allow or prevent reverse flow through emitters. + + Parameters: + value (int): 1 to allow reverse flow (default), 0 to prevent it. + + Example: + inpfile = "Richmond_standard.inp" + d = epanet(inpfile) + d.setOptionsEmitBackFlow(0) + d.printv(d.getOptionsEmitBackFlow()) + """ + self.api.ENsetoption(self.ToolkitConstants.EN_EMITBACKFLOW, int(value)) + + def getLinkLeakArea(self): return self.api.ENgetlinkvalues(self.ToolkitConstants.EN_LEAK_AREA) From 25673aaa47abf6d59e8648c94a6693a0a48726c0 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Fri, 13 Sep 2024 12:40:31 +0300 Subject: [PATCH 072/183] Refactor : from ENgetLinkValues(code) - > __getLinkInfo(code,*argv) --- epyt/epanet.py | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 13ce9e2..b95490b 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -13896,12 +13896,12 @@ def getLinkValues(self, property): values = self.api.ENgetlinkvalues(property) return values - def getLinkValveCurveGPV(self): + def getLinkValveCurveGPV(self, *argv): - return self.api.ENgetlinkvalues(self.ToolkitConstants.EN_GPV_CURVE) - def getLinkValveCurvePCV(self): + return self.__getLinkInfo(self.ToolkitConstants.EN_GPV_CURVE, *argv) + def getLinkValveCurvePCV(self, *argv): - return self.api.ENgetlinkvalues(self.ToolkitConstants.EN_PCV_CURVE) + return self.__getLinkInfo(self.ToolkitConstants.EN_PCV_CURVE, *argv) def setLinkValveCurveGPV(self, index, value): @@ -13961,13 +13961,13 @@ def setOptionsEmitterBackFlow(self, value): self.api.ENsetoption(self.ToolkitConstants.EN_EMITBACKFLOW, int(value)) - def getLinkLeakArea(self): + def getLinkLeakArea(self, *argv): - return self.api.ENgetlinkvalues(self.ToolkitConstants.EN_LEAK_AREA) + return self.__getLinkInfo(self.ToolkitConstants.EN_LEAK_AREA, *argv) - def getLinkExpansionProp(self): + def getLinkExpansionProp(self, *argv): - return self.api.ENgetlinkvalues(self.ToolkitConstants.EN_LEAK_EXPAN) + return self.__getLinkInfo(self.ToolkitConstants.EN_LEAK_EXPAN, *argv) def setLinkLeakArea(self, index, value): @@ -13977,9 +13977,9 @@ def setLinkExpansionProp(self, index, value): self.api.ENsetlinkvalue(index,self.ToolkitConstants.EN_LEAK_EXPAN, value) - def getLinkLeakageRate(self): + def getLinkLeakageRate(self, *argv): - return self.api.ENgetlinkvalues(self.ToolkitConstants.EN_LINK_LEAKAGE) + return self.__getLinkInfo(self.ToolkitConstants.EN_LINK_LEAKAGE, *argv) def getNodeLeakageDeamand(self): From fff4cec0e5fccedcd233f2fa4917ee61d0248dd4 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Fri, 13 Sep 2024 13:37:46 +0300 Subject: [PATCH 073/183] update 2.3 EN_timetonextevent function fixed --- epyt/epanet.py | 21 +++++++++++++++------ 1 file changed, 15 insertions(+), 6 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index b95490b..90cdeee 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -339,6 +339,12 @@ def __init__(self): EN_R_IS_CLOSED = 2 EN_R_IS_ACTIVE = 3 + EN_STEP_REPORT = 0 #Types of events that cause a timestep to end + EN_STEP_HYD = 1 + EN_STEP_WQ = 2 + EN_STEP_TANKEVENT = 3 + EN_STEP_CONTROLEVENT = 4 + EN_MISSING = -1.0E10 EN_SET_CLOSED = -1.0E10 EN_SET_OPEN = 1.0E10 @@ -14800,17 +14806,20 @@ def ENsetvertex(self, index, vertex, x, y): self.ENgeterror() return self.errcode - def ENtimetonextevent(self, eventType, duration, elementIndex): + def ENtimetonextevent(self): """get the time to next event, and give a reason for the time step truncation""" - eventType = c_int(eventType) #pointer in C - duration = c_double(duration) #long in C - elementIndex = c_int(elementIndex) #pointer in C + eventType = c_int() #pointer in C + #duration = c_double() #long pointer in C + elementIndex = c_int() #pointer in C if self._ph is not None: - self.errcode = self._lib.EN_timetonextevent(self._ph, eventType, duration, elementIndex) + duration = c_double() + self.errcode = self._lib.EN_timetonextevent(self._ph, byref(eventType), byref(duration), byref(elementIndex)) else: - self.errcode = self._lib.ENtimetonextevent(eventType, duration, elementIndex) + duration = c_long() + self.errcode = self._lib.ENtimetonextevent(byref(eventType), byref(duration), byref(elementIndex)) self.ENgeterror() + return eventType.value,duration.value,elementIndex.value def ENgetcontrolenabled(self, index): index = c_int(index) From dcca1e9de744062fbaa2e5843bbaf473d467658e Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 17 Sep 2024 11:53:33 +0300 Subject: [PATCH 074/183] ENgettimetonextevent ->{getTimetoNextEventIndex, getTimeDurationtoNextEvent,getTimeNextEventtoType} update2.3 --- epyt/epanet.py | 21 ++++++++++++++++++++- 1 file changed, 20 insertions(+), 1 deletion(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 90cdeee..0fb30cb 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -14034,7 +14034,26 @@ def dfs(node): else: return False + def getTimetoNextEventIndex(self): + x, y, z = self.api.ENtimetonextevent() + return z + + def getTimeDurationtoNextEvent(self): + x, y, z = self.api.ENtimetonextevent() + return y + def getTimeNextEventtoType(self): + x, y, z = self.api.ENtimetonextevent() + if x == 0 : + return "REPORT" + if x == 1 : + return "HYD" + if x == 2 : + return "WQ" + if x == 3 : + return "TANK" + if x == 4 : + return "CONTROL" class epanetapi: """ EPANET Toolkit functions - API @@ -14813,7 +14832,7 @@ def ENtimetonextevent(self): elementIndex = c_int() #pointer in C if self._ph is not None: - duration = c_double() + duration = c_double() #not checked self.errcode = self._lib.EN_timetonextevent(self._ph, byref(eventType), byref(duration), byref(elementIndex)) else: duration = c_long() From 43aa8bc63b548c49fe2bd2aca372442e2052faf3 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 26 Sep 2024 11:29:34 +0300 Subject: [PATCH 075/183] getoNodeEmitterFlow now accepts *argv as input --- epyt/epanet.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 0fb30cb..8a64cd6 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -4376,10 +4376,10 @@ def getNodeEmitterCoeff(self, *argv): """ return self.__getNodeInfo(self.ToolkitConstants.EN_EMITTER, *argv) - def getNodeEmitterFlow(self, index): + def getNodeEmitterFlow(self, *argv): """Retrieves node emmiter flow""" - return self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_EMITTERFLOW) + return self.__getNodeInfo(self.ToolkitConstants.EN_EMITTERFLOW, *argv) def getNodeHydraulicHead(self, *argv): """ Retrieves the computed values of all node hydraulic heads. From 3f1bab84bbb38c8c831320d4af406e6019f17efe Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 26 Sep 2024 13:03:10 +0300 Subject: [PATCH 076/183] getTimeToNextEvent function update 2.3 --- epyt/epanet.py | 38 ++++++++++++++------------------------ 1 file changed, 14 insertions(+), 24 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 8a64cd6..3c59fdb 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -13725,9 +13725,6 @@ def setVertex(self, index, vertex, x, y): errcode = self.api.ENsetvertex(index, vertex, x, y) return errcode - def timetonexteven(self, eventType, duration, elementIndex): - self.api.ENtimetonextevent(eventType, duration, elementIndex) - def getControlState(self, index = None): """ Purpose: @@ -14007,9 +14004,6 @@ def getConsumerDemandDiff(self): return self.api.ENgetnodevalue(self.ToolkitConstants.EN_DEMANDDEFICIT) - def getNodeEmitterFlow(self): - - return self.api.ENgetnodevalue(self.ToolkitConstants.EN_EMITTERFLOW) def getNodeLeakageFlow(self): @@ -14023,6 +14017,7 @@ def isConnected(self): matrix = self.getConnectivityMatrix() n = len(matrix) visited = [False] * n + def dfs(node): visited[node] = True for neighbor in range(n): @@ -14034,26 +14029,21 @@ def dfs(node): else: return False - def getTimetoNextEventIndex(self): - x, y, z = self.api.ENtimetonextevent() - return z - - def getTimeDurationtoNextEvent(self): + def getTimetoNextEvent(self): x, y, z = self.api.ENtimetonextevent() - return y + "y = duration , z = index , x = type" + if x == 0: + x = "REPORT" + if x == 1: + x = "HYD" + if x == 2: + x = "WQ" + if x == 3: + x = "TANK" + if x == 4: + x = "CONTROL" + return x, y, z - def getTimeNextEventtoType(self): - x, y, z = self.api.ENtimetonextevent() - if x == 0 : - return "REPORT" - if x == 1 : - return "HYD" - if x == 2 : - return "WQ" - if x == 3 : - return "TANK" - if x == 4 : - return "CONTROL" class epanetapi: """ EPANET Toolkit functions - API From 78bed9ea099779616ff9a3ec6a39222871c8fa3e Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 26 Sep 2024 13:05:24 +0300 Subject: [PATCH 077/183] setoptionsemmiterbackflowAllowed and dissalowed update 2.3 --- epyt/epanet.py | 21 ++++++++++++++++----- 1 file changed, 16 insertions(+), 5 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 3c59fdb..e84b882 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -13948,12 +13948,23 @@ def getOptionsEmitterBackFlow(self): """ return int(self.api.ENgetoption(self.ToolkitConstants.EN_EMITBACKFLOW)) - def setOptionsEmitterBackFlow(self, value): + def setOptionsEmitterBackFlowAllowed(self): """ - Sets the option to allow or prevent reverse flow through emitters. + Sets the option to allow reverse flow through emitters. - Parameters: - value (int): 1 to allow reverse flow (default), 0 to prevent it. + + + Example: + inpfile = "Richmond_standard.inp" + d = epanet(inpfile) + d.setOptionsEmitBackFlowAllowed() + d.printv(d.getOptionsEmitBackFlow()) + """ + self.api.ENsetoption(self.ToolkitConstants.EN_EMITBACKFLOW, 1) + + def setOptionsEmitterBackFlowDisallowed(self): + """ + Sets the option prevent reverse flow through emitters. Example: inpfile = "Richmond_standard.inp" @@ -13961,7 +13972,7 @@ def setOptionsEmitterBackFlow(self, value): d.setOptionsEmitBackFlow(0) d.printv(d.getOptionsEmitBackFlow()) """ - self.api.ENsetoption(self.ToolkitConstants.EN_EMITBACKFLOW, int(value)) + self.api.ENsetoption(self.ToolkitConstants.EN_EMITBACKFLOW, 0) def getLinkLeakArea(self, *argv): From 0ed429b768244ae9ed1be90713c67a3593cc5837 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 26 Sep 2024 13:18:41 +0300 Subject: [PATCH 078/183] new constants update 2.3 --- epyt/epanet.py | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index e84b882..fb9a22d 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -291,6 +291,14 @@ def __init__(self): EN_GENERIC_CURVE = 4 # Generic curve EN_VALVE_CURVE = 5 # Valve position curve + + EN_UNCONDITIONAL = 0 #Unconditional object deletion + EN_CONDITIONAL = 1 + + EN_NO_REPORT = 0 # No status report + EN_NORMAL_REPORT = 1 # Normal status report + EN_FULL_REPORT = 2 # Full status report + # ObjectType EN_NODE = 0 EN_LINK = 1 From c2347ecf51e6340f5df777e995615ecf0b020b8c Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 26 Sep 2024 13:27:38 +0300 Subject: [PATCH 079/183] setOptionsStatusReport slit to 3 functions -> setOptionsStatusReportNo,setOptionsStatusReportFull & setOptiosStatusReportNormal update 2.3 --- epyt/epanet.py | 25 ++++++++++++++++++++++--- 1 file changed, 22 insertions(+), 3 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index fb9a22d..fab1224 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -5766,11 +5766,17 @@ def getPressureUnit(self): """ return int(self.api.ENgetoption(self.ToolkitConstants.EN_PRESS_UNITS)) - def getStatusReport(self): + def getOptionsStatusReport(self): """ Gets the status report , (`EN_NO_REPORT`, `EN_NORMAL_REPORT` or `EN_FULL_REPORT`).""" - return (self.api.ENgetoption(self.ToolkitConstants.EN_STATUS_REPORT)) + z = int(self.api.ENgetoption(self.ToolkitConstants.EN_STATUS_REPORT)) + if z == 0: + return "NO REPORT" + if z == 1: + return "NORMAL REPORT" + if z == 2: + return "FULL REPORT" def getPattern(self): """ @@ -9278,12 +9284,21 @@ def setPressureUnit(self, value): return self.api.ENsetoption(self.ToolkitConstants.EN_PRESS_UNITS, value) - def setStatusReport(self, value): + def setOptionsStatusReport(self, value): """Sets the status report for epanet (`EN_NO_REPORT`, `EN_NORMAL_REPORT` or `EN_FULL_REPORT`). + """ return self.api.ENsetoption(self.ToolkitConstants.EN_STATUS_REPORT, value) + def setOptionsStatusReportNo(self): + return self.api.ENsetoption(self.ToolkitConstants.EN_STATUS_REPORT, 0) + def setOptionsStatusReportFull(self): + return self.api.ENsetoption(self.ToolkitConstants.EN_STATUS_REPORT, 2) + + def setOptionsStatusReportNormal(self): + return self.api.ENsetoption(self.ToolkitConstants.EN_STATUS_REPORT, 1) + def setQualityType(self, *argv): """ Sets the type of water quality analysis called for. @@ -14063,6 +14078,10 @@ def getTimetoNextEvent(self): x = "CONTROL" return x, y, z + + + + class epanetapi: """ EPANET Toolkit functions - API From 9aa6c00059332cf124c1cfb8b921954fc1b671f1 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 26 Sep 2024 13:40:10 +0300 Subject: [PATCH 080/183] new constants update 2.3 for pressure unit type --- epyt/epanet.py | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index fab1224..93c56de 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -225,6 +225,12 @@ def __init__(self): EN_MLD = 7 EN_CMH = 8 EN_CMD = 9 + EN_CMS = 10 + + # Pressure units type + EN_PSI = 0 + EN_KPA = 1; + EN_METERS =2 # Option types EN_TRIALS = 0 From 56c8d79d5ed0ddc1f44742fa9bad6e187b145241 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 26 Sep 2024 13:42:11 +0300 Subject: [PATCH 081/183] setOptionsPressureUnits split to -> setOptionsPressureUnitsMeters, setOptionsPressureUnitsPSI & setOptionsPressureUnitsKPA --- epyt/epanet.py | 18 ++++++++++++++---- 1 file changed, 14 insertions(+), 4 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 93c56de..ff10ee4 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -5777,11 +5777,11 @@ def getOptionsStatusReport(self): (`EN_NO_REPORT`, `EN_NORMAL_REPORT` or `EN_FULL_REPORT`).""" z = int(self.api.ENgetoption(self.ToolkitConstants.EN_STATUS_REPORT)) - if z == 0: + if z == self.ToolkitConstants.EN_NO_REPORT: return "NO REPORT" - if z == 1: + if z == self.ToolkitConstants.EN_NORMAL_REPORT: return "NORMAL REPORT" - if z == 2: + if z == self.ToolkitConstants.EN_FULL_REPORT: return "FULL REPORT" def getPattern(self): @@ -9281,7 +9281,7 @@ def setOptionsTankBulkReactionOrder(self, value): """ return self.api.ENsetoption(self.ToolkitConstants.EN_TANKORDER, value) - def setPressureUnit(self, value): + def setOptionsPressureUnits(self, value): """Sets the pressure unit used in Epanet Example: inpfile = "Net3.inp" @@ -9290,6 +9290,16 @@ def setPressureUnit(self, value): return self.api.ENsetoption(self.ToolkitConstants.EN_PRESS_UNITS, value) + def setOptionsPressureUnitsMeters(self): + return self.setPressureUnits(self.ToolkitConstants.EN_METERS) + + def setOptionsPressureUnitsPSI(self): + return self.setPressureUnits(self.ToolkitConstants.EN_PSI) + + def setOptionsPressureUnitsKPA(self): + return self.setPressureUnits(self.ToolkitConstants.EN_KPA) + + def setOptionsStatusReport(self, value): """Sets the status report for epanet (`EN_NO_REPORT`, `EN_NORMAL_REPORT` or `EN_FULL_REPORT`). From e77f428f829c6120ccc4cef3589cf927893c5311 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 26 Sep 2024 13:42:59 +0300 Subject: [PATCH 082/183] ENsetOption for status report now is called with constants from toolkit. --- epyt/epanet.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index ff10ee4..1684570 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -9308,12 +9308,12 @@ def setOptionsStatusReport(self, value): return self.api.ENsetoption(self.ToolkitConstants.EN_STATUS_REPORT, value) def setOptionsStatusReportNo(self): - return self.api.ENsetoption(self.ToolkitConstants.EN_STATUS_REPORT, 0) + return self.api.ENsetoption(self.ToolkitConstants.EN_STATUS_REPORT, self.ToolkitConstants.EN_NO_REPORT) def setOptionsStatusReportFull(self): - return self.api.ENsetoption(self.ToolkitConstants.EN_STATUS_REPORT, 2) + return self.api.ENsetoption(self.ToolkitConstants.EN_STATUS_REPORT, self.ToolkitConstants.EN_FULL_REPORT) def setOptionsStatusReportNormal(self): - return self.api.ENsetoption(self.ToolkitConstants.EN_STATUS_REPORT, 1) + return self.api.ENsetoption(self.ToolkitConstants.EN_STATUS_REPORT, self.ToolkitConstants.EN_NORMAL_REPORT) def setQualityType(self, *argv): """ Sets the type of water quality analysis called for. From 62d455f27cb527abd9328335c5e82d20d5b08145 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 26 Sep 2024 13:43:20 +0300 Subject: [PATCH 083/183] getpressureunit to getOptionspressureunits() --- epyt/epanet.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 1684570..d5cfb4a 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -5766,7 +5766,7 @@ def getOptionsTankBulkReactionOrder(self): """ return int(self.api.ENgetoption(self.ToolkitConstants.EN_TANKORDER)) - def getPressureUnit(self): + def getOptionsPressureUnits(self): """ Gets the pressure unit used in Epanet """ From 8894a23cfeee0ec1e6be7398d040c71f815927ad Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 26 Sep 2024 14:07:35 +0300 Subject: [PATCH 084/183] setOptionsCurveType now uses toolkitconstants --- epyt/epanet.py | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index d5cfb4a..51fef5c 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -9291,13 +9291,13 @@ def setOptionsPressureUnits(self, value): return self.api.ENsetoption(self.ToolkitConstants.EN_PRESS_UNITS, value) def setOptionsPressureUnitsMeters(self): - return self.setPressureUnits(self.ToolkitConstants.EN_METERS) + return self.setOptionsPressureUnits(self.ToolkitConstants.EN_METERS) def setOptionsPressureUnitsPSI(self): - return self.setPressureUnits(self.ToolkitConstants.EN_PSI) + return self.setOptionsPressureUnits(self.ToolkitConstants.EN_PSI) def setOptionsPressureUnitsKPA(self): - return self.setPressureUnits(self.ToolkitConstants.EN_KPA) + return self.setOptionsPressureUnits(self.ToolkitConstants.EN_KPA) def setOptionsStatusReport(self, value): @@ -13647,7 +13647,7 @@ def setCurveTypeVolume(self, index): errcode = d.setCurveTypeVolume(1) curve_type = d.getCurveType(1) """ - errcode = self.api.ENsetcurvetype(index, 0) + errcode = self.api.ENsetcurvetype(index, self.ToolkitConstants.EN_VOLUME_CURVE) return errcode def setCurveTypePump(self, index): @@ -13667,7 +13667,7 @@ def setCurveTypePump(self, index): errcode = d.setCurveTypePump(1) curve_type = d.getCurveType(1) """ - errcode = self.api.ENsetcurvetype(index, 1) + errcode = self.api.ENsetcurvetype(index, self.ToolkitConstants.EN_PUMP_CURVE) return errcode def setCurveTypeEfficiency(self, index): @@ -13687,7 +13687,7 @@ def setCurveTypeEfficiency(self, index): errcode = d.setCurveTypeEfficiency(1) curve_type = d.getCurveType(1) """ - errcode = self.api.ENsetcurvetype(index, 2) + errcode = self.api.ENsetcurvetype(index, self.ToolkitConstants.EN_EFFIC_CURVE) return errcode def setCurveTypeHeadloss(self, index): @@ -13707,7 +13707,7 @@ def setCurveTypeHeadloss(self, index): errcode = d.setCurveTypeHeadloss(1) curve_type = d.getCurveType(1) """ - errcode = self.api.ENsetcurvetype(index, 3) + errcode = self.api.ENsetcurvetype(index, self.ToolkitConstants.EN_HLOSS_CURVE) return errcode def setCurveTypeGeneral(self, index): @@ -13727,7 +13727,7 @@ def setCurveTypeGeneral(self, index): errcode = d.setCurveTypeGeneral(1) curve_type = d.getCurveType(1) """ - errcode = self.api.ENsetcurvetype(index, 4) + errcode = self.api.ENsetcurvetype(index, self.ToolkitConstants.EN_GENERIC_CURVE) return errcode From eb76cf84477fc9c1fb6f637a25f78c1920dc55b6 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 26 Sep 2024 14:08:00 +0300 Subject: [PATCH 085/183] new function setCurveTypeValveCurve() update 2.3 --- epyt/epanet.py | 21 ++++++++++++++++++++- 1 file changed, 20 insertions(+), 1 deletion(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 51fef5c..7b7cefe 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -597,7 +597,7 @@ def __init__(self, *argv, version=2.2, ph=False, loadfile=False, customlib=None, # Link Status self.TYPESTATUS = ['CLOSED', 'OPEN'] # Constants for pump curves: 'PUMP', 'EFFICIENCY', 'VOLUME', 'HEADLOSS' - self.TYPECURVE = ['VOLUME', 'PUMP', 'EFFICIENCY', 'HEADLOSS', 'GENERAL'] + self.TYPECURVE = ['VOLUME', 'PUMP', 'EFFICIENCY', 'HEADLOSS', 'GENERAL', 'VALVE'] # Constants of headloss types: HW: Hazen-Williams, # DW: Darcy-Weisbach, CM: Chezy-Manning self.TYPEHEADLOSS = ['HW', 'DW', 'CM'] @@ -13730,6 +13730,25 @@ def setCurveTypeGeneral(self, index): errcode = self.api.ENsetcurvetype(index, self.ToolkitConstants.EN_GENERIC_CURVE) return errcode + def setCurveTypeValveCurve(self, index): + """Purpose: + Sets the type of a curve to Valve in the EPANET model. + + Parameters: + index (int): The index of the curve to modify. + + Returns: + int: An error code indicating success or failure of the operation. + + Example Usage: + inp_filename = "Net1.inp" + + d = epanet(inp_filename) + errcode = d.setCurveTypeValveCurve(1) + curve_type = d.getCurveType(1) + """ + errcode = self.api.ENsetcurvetype(index, self.ToolkitConstants.EN_VALVE_CURVE) + return errcode def setVertex(self, index, vertex, x, y): """ From 8826cd8e96be9dde7018cb0f5ece97975023472a Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 26 Sep 2024 14:08:46 +0300 Subject: [PATCH 086/183] getOptionsPressureUnits() now returns string instead of integer --- epyt/epanet.py | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 7b7cefe..8a3520f 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -5770,7 +5770,13 @@ def getOptionsPressureUnits(self): """ Gets the pressure unit used in Epanet """ - return int(self.api.ENgetoption(self.ToolkitConstants.EN_PRESS_UNITS)) + z = int(self.api.ENgetoption(self.ToolkitConstants.EN_PRESS_UNITS)) + if z == self.ToolkitConstants.EN_PSI: + return "PSI" + if z == self.ToolkitConstants.EN_KPA: + return "KPA" + if z == self.ToolkitConstants.EN_METERS: + return "METERS" def getOptionsStatusReport(self): """ Gets the status report , From 69153b36722705b13dd333a85ff5817f5bfa4683 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 26 Sep 2024 14:09:02 +0300 Subject: [PATCH 087/183] new constants for demand driven analysis and pressure driven analysis --- epyt/epanet.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index 8a3520f..fc4a104 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -232,6 +232,9 @@ def __init__(self): EN_KPA = 1; EN_METERS =2 + EN_DDA = 0 # Demand driven analysis + EN_PDA = 1 # Pressure driven analysis + # Option types EN_TRIALS = 0 EN_ACCURACY = 1 From fe15d38cda7d7d6cf62f88c9c274fea57798f82a Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 26 Sep 2024 14:30:26 +0300 Subject: [PATCH 088/183] getNodeInControl / getLinkInControl new functions update 2.3 --- epyt/epanet.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index fc4a104..00a2b15 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -14122,9 +14122,11 @@ def getTimetoNextEvent(self): x = "CONTROL" return x, y, z + def getLinkInControl(self, index): + return self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_LINK_INCONTROL) - - + def getNodeInControl(self, index): + return self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_NODE_INCONTROL) class epanetapi: """ From 65bb9079ee5381d463283288ecee8a21b581255a Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 26 Sep 2024 14:31:31 +0300 Subject: [PATCH 089/183] getNodeLeakageDemand() typo fix --- epyt/epanet.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 00a2b15..30edb2f 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -14062,9 +14062,9 @@ def getLinkLeakageRate(self, *argv): return self.__getLinkInfo(self.ToolkitConstants.EN_LINK_LEAKAGE, *argv) - def getNodeLeakageDeamand(self): + def getNodeLeakageDemand(self, index): - return self.api.ENgetnodevalue(self.ToolkitConstants.EN_LEAKAGEFLOW) + return self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_LEAKAGEFLOW) def getTotalLeakageLoss(self): From c2124381613bbcbf4b41aef909ce289bc83ccb2c Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 26 Sep 2024 14:49:08 +0300 Subject: [PATCH 090/183] fix for new functions missing argument update 2.3 --- epyt/epanet.py | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 30edb2f..16ca8a7 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -14070,26 +14070,26 @@ def getTotalLeakageLoss(self): return self.api.ENgetstatistic(self.ToolkitConstants.EN_LEAKAGELOSS) - def getConsumerDemandReq(self): + def getConsumerDemandReq(self, index): - return self.api.ENgetnodevalue(self.ToolkitConstants.EN_FULLDEMAND) + return self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_FULLDEMAND) - def getConsumerDemandDel(self): + def getConsumerDemandDel(self, index): - return self.api.ENgetnodevalue(self.ToolkitConstants.EN_DEMANDFLOW) + return self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_DEMANDFLOW) - def getConsumerDemandDiff(self): + def getConsumerDemandDiff(self, index): - return self.api.ENgetnodevalue(self.ToolkitConstants.EN_DEMANDDEFICIT) + return self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_DEMANDDEFICIT) - def getNodeLeakageFlow(self): + def getNodeLeakageFlow(self, index): - return self.api.ENgetnodevalue(self.ToolkitConstants.EN_LEAKAGEFLOW) + return self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_LEAKAGEFLOW) - def getNodeSumDemandandFLow(self): + def getNodeSumDemandandFLow(self, index): - return self.api.ENgetnodevalue(self.ToolkitConstants.EN_DEMAND) + return self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_DEMAND) def isConnected(self): matrix = self.getConnectivityMatrix() From 3dfd1db25a207a0d1b8e70bbd256b0d8e88bafb8 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Sat, 28 Sep 2024 14:37:57 +0300 Subject: [PATCH 091/183] typo link instead of node --- epyt/epanet.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 16ca8a7..748f377 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -9318,6 +9318,7 @@ def setOptionsStatusReport(self, value): def setOptionsStatusReportNo(self): return self.api.ENsetoption(self.ToolkitConstants.EN_STATUS_REPORT, self.ToolkitConstants.EN_NO_REPORT) + def setOptionsStatusReportFull(self): return self.api.ENsetoption(self.ToolkitConstants.EN_STATUS_REPORT, self.ToolkitConstants.EN_FULL_REPORT) @@ -14123,7 +14124,7 @@ def getTimetoNextEvent(self): return x, y, z def getLinkInControl(self, index): - return self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_LINK_INCONTROL) + return self.api.ENgetlinkvalue(index, self.ToolkitConstants.EN_LINK_INCONTROL) def getNodeInControl(self, index): return self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_NODE_INCONTROL) From 358dd1bb7f850b9c975b2b97c5a44f7009558ce2 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 3 Oct 2024 13:13:36 +0300 Subject: [PATCH 092/183] removed duplicate functions --- epyt/epanet.py | 7 ------- 1 file changed, 7 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 748f377..dee64dc 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -14062,10 +14062,6 @@ def setLinkExpansionProp(self, index, value): def getLinkLeakageRate(self, *argv): return self.__getLinkInfo(self.ToolkitConstants.EN_LINK_LEAKAGE, *argv) - - def getNodeLeakageDemand(self, index): - - return self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_LEAKAGEFLOW) def getTotalLeakageLoss(self): @@ -14088,9 +14084,6 @@ def getNodeLeakageFlow(self, index): return self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_LEAKAGEFLOW) - def getNodeSumDemandandFLow(self, index): - - return self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_DEMAND) def isConnected(self): matrix = self.getConnectivityMatrix() From 66205634de0ab878b72742772dca0b5146212c88 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 3 Oct 2024 13:14:16 +0300 Subject: [PATCH 093/183] fixed for getnodeincontrol and getlinkincontrol where the output was float instead of int --- epyt/epanet.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index dee64dc..b6f39e1 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -14117,10 +14117,10 @@ def getTimetoNextEvent(self): return x, y, z def getLinkInControl(self, index): - return self.api.ENgetlinkvalue(index, self.ToolkitConstants.EN_LINK_INCONTROL) + return int(self.api.ENgetlinkvalue(index, self.ToolkitConstants.EN_LINK_INCONTROL)) def getNodeInControl(self, index): - return self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_NODE_INCONTROL) + return int(self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_NODE_INCONTROL)) class epanetapi: """ From 194c04487b85b88e96d226256df8f463e6a82c27 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 3 Oct 2024 13:36:18 +0300 Subject: [PATCH 094/183] getNodeInControl() and getLinkInControl() can be called by 4 different ways : d.getNodeInControl() -> will return all values (0 or 1) for Nodes ,d.getNodeInControl(2) will return node index 2 ,d.getNodeInControl(1,2,3) will return nodes 1,2 and 3 d.getNodeInControl([1,2,3]) will return nodes 1,2 and 3)) --- epyt/epanet.py | 50 ++++++++++++++++++++++++++--- epyt/networks/asce-tf-wdst/Net1.txt | 9 ++++++ 2 files changed, 55 insertions(+), 4 deletions(-) create mode 100644 epyt/networks/asce-tf-wdst/Net1.txt diff --git a/epyt/epanet.py b/epyt/epanet.py index b6f39e1..16e7be0 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -14116,11 +14116,53 @@ def getTimetoNextEvent(self): x = "CONTROL" return x, y, z - def getLinkInControl(self, index): - return int(self.api.ENgetlinkvalue(index, self.ToolkitConstants.EN_LINK_INCONTROL)) + def getLinkInControl(self, *args): - def getNodeInControl(self, index): - return int(self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_NODE_INCONTROL)) + if not args: + countlink = self.getLinkCount() + results = [] + for index in range(1, countlink + 1): + results.append(int(self.api.ENgetlinkvalue(index, self.ToolkitConstants.EN_LINK_INCONTROL))) + return results + + if len(args) == 1: + if isinstance(args[0], list): # If the single argument is a list + results = [] + for index in args[0]: # Loop through the list of indices + results.append(int(self.api.ENgetlinkvalue(index, self.ToolkitConstants.EN_LINK_INCONTROL))) + return results + else: # If it's a single index (not a list) + index = args[0] + return int(self.api.ENgetlinkvalue(index, self.ToolkitConstants.EN_LINK_INCONTROL)) + # More than one argument provided + results = [] + for index in args: + results.append(int(self.api.ENgetlinkvalue(index, self.ToolkitConstants.EN_LINK_INCONTROL))) + return results + + def getNodeInControl(self, *args): + + if not args: + countnode = self.getNodeCount() + results = [] + for index in range(1, countnode + 1): + results.append(int(self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_NODE_INCONTROL))) + return results + + if len(args) == 1: + if isinstance(args[0], list): # If the single argument is a list + results = [] + for index in args[0]: # Loop through the list of indices + results.append(int(self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_NODE_INCONTROL))) + return results + else: # If it's a single index (not a list) + index = args[0] + return int(self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_NODE_INCONTROL)) + # More than one argument provided + results = [] + for index in args: + results.append(int(self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_NODE_INCONTROL))) + return results class epanetapi: """ diff --git a/epyt/networks/asce-tf-wdst/Net1.txt b/epyt/networks/asce-tf-wdst/Net1.txt new file mode 100644 index 0000000..bbf0b42 --- /dev/null +++ b/epyt/networks/asce-tf-wdst/Net1.txt @@ -0,0 +1,9 @@ + Page 1 Thu Oct 3 13:34:31 2024 + + ****************************************************************** + * E P A N E T * + * Hydraulic and Water Quality * + * Analysis for Pipe Networks * + * Version 2.3 * + ****************************************************************** + \ No newline at end of file From 7ee7cd1db285ad085f4125fe9a385dcc1f8d8ff2 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 3 Oct 2024 13:37:58 +0300 Subject: [PATCH 095/183] Revert "getNodeInControl() and getLinkInControl() can be called by 4 different ways : d.getNodeInControl() -> will return all values (0 or 1) for Nodes ,d.getNodeInControl(2) will return node index 2 ,d.getNodeInControl(1,2,3) will return nodes 1,2 and 3 d.getNodeInControl([1,2,3]) will return nodes 1,2 and 3))" This reverts commit 194c04487b85b88e96d226256df8f463e6a82c27. --- epyt/epanet.py | 50 +++-------------------------- epyt/networks/asce-tf-wdst/Net1.txt | 9 ------ 2 files changed, 4 insertions(+), 55 deletions(-) delete mode 100644 epyt/networks/asce-tf-wdst/Net1.txt diff --git a/epyt/epanet.py b/epyt/epanet.py index 16e7be0..b6f39e1 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -14116,53 +14116,11 @@ def getTimetoNextEvent(self): x = "CONTROL" return x, y, z - def getLinkInControl(self, *args): + def getLinkInControl(self, index): + return int(self.api.ENgetlinkvalue(index, self.ToolkitConstants.EN_LINK_INCONTROL)) - if not args: - countlink = self.getLinkCount() - results = [] - for index in range(1, countlink + 1): - results.append(int(self.api.ENgetlinkvalue(index, self.ToolkitConstants.EN_LINK_INCONTROL))) - return results - - if len(args) == 1: - if isinstance(args[0], list): # If the single argument is a list - results = [] - for index in args[0]: # Loop through the list of indices - results.append(int(self.api.ENgetlinkvalue(index, self.ToolkitConstants.EN_LINK_INCONTROL))) - return results - else: # If it's a single index (not a list) - index = args[0] - return int(self.api.ENgetlinkvalue(index, self.ToolkitConstants.EN_LINK_INCONTROL)) - # More than one argument provided - results = [] - for index in args: - results.append(int(self.api.ENgetlinkvalue(index, self.ToolkitConstants.EN_LINK_INCONTROL))) - return results - - def getNodeInControl(self, *args): - - if not args: - countnode = self.getNodeCount() - results = [] - for index in range(1, countnode + 1): - results.append(int(self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_NODE_INCONTROL))) - return results - - if len(args) == 1: - if isinstance(args[0], list): # If the single argument is a list - results = [] - for index in args[0]: # Loop through the list of indices - results.append(int(self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_NODE_INCONTROL))) - return results - else: # If it's a single index (not a list) - index = args[0] - return int(self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_NODE_INCONTROL)) - # More than one argument provided - results = [] - for index in args: - results.append(int(self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_NODE_INCONTROL))) - return results + def getNodeInControl(self, index): + return int(self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_NODE_INCONTROL)) class epanetapi: """ diff --git a/epyt/networks/asce-tf-wdst/Net1.txt b/epyt/networks/asce-tf-wdst/Net1.txt deleted file mode 100644 index bbf0b42..0000000 --- a/epyt/networks/asce-tf-wdst/Net1.txt +++ /dev/null @@ -1,9 +0,0 @@ - Page 1 Thu Oct 3 13:34:31 2024 - - ****************************************************************** - * E P A N E T * - * Hydraulic and Water Quality * - * Analysis for Pipe Networks * - * Version 2.3 * - ****************************************************************** - \ No newline at end of file From 8afb8730991afc4710a7cc5f4ef89616f157be6e Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 3 Oct 2024 13:40:34 +0300 Subject: [PATCH 096/183] =?UTF-8?q?Revert=20"getNodeInControl()=20and=20ge?= =?UTF-8?q?tLinkInControl()=20can=20be=20called=20by=204=20dif=E2=80=A6=20?= =?UTF-8?q?=E2=80=A6ferent=20ways=20:=20d.getNodeInControl()=20->=20will?= =?UTF-8?q?=20return=20all=20values=20(0=20or=201)=20for=20Nodes=20,d.getN?= =?UTF-8?q?odeInControl(2)=20will=20return=20node=20index=202=20,d.getNode?= =?UTF-8?q?InControl(1,2,3)=20will=20return=20nodes=201,2=20and=203=20d.ge?= =?UTF-8?q?tNodeInControl([1,2,3])=20will=20return=20nodes=201,2=20and=203?= =?UTF-8?q?))?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- epyt/epanet.py | 51 ++++++++++++++++++++++++++++++++++++++++++++++---- 1 file changed, 47 insertions(+), 4 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index b6f39e1..0caa93d 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -14116,11 +14116,54 @@ def getTimetoNextEvent(self): x = "CONTROL" return x, y, z - def getLinkInControl(self, index): - return int(self.api.ENgetlinkvalue(index, self.ToolkitConstants.EN_LINK_INCONTROL)) + def getLinkInControl(self, *args): + + if not args: + countlink = self.getLinkCount() + results = [] + for index in range(1, countlink + 1): + results.append(int(self.api.ENgetlinkvalue(index, self.ToolkitConstants.EN_LINK_INCONTROL))) + return results + + if len(args) == 1: + if isinstance(args[0], list): # If the single argument is a list + results = [] + for index in args[0]: # Loop through the list of indices + results.append(int(self.api.ENgetlinkvalue(index, self.ToolkitConstants.EN_LINK_INCONTROL))) + return results + else: # If it's a single index (not a list) + index = args[0] + return int(self.api.ENgetlinkvalue(index, self.ToolkitConstants.EN_LINK_INCONTROL)) + # More than one argument provided + results = [] + for index in args: + results.append(int(self.api.ENgetlinkvalue(index, self.ToolkitConstants.EN_LINK_INCONTROL))) + return results + + def getNodeInControl(self, *args): + + if not args: + countnode = self.getNodeCount() + results = [] + for index in range(1, countnode + 1): + results.append(int(self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_NODE_INCONTROL))) + return results + + if len(args) == 1: + if isinstance(args[0], list): # If the single argument is a list + results = [] + for index in args[0]: # Loop through the list of indices + results.append(int(self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_NODE_INCONTROL))) + return results + else: # If it's a single index (not a list) + index = args[0] + return int(self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_NODE_INCONTROL)) + # More than one argument provided + results = [] + for index in args: + results.append(int(self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_NODE_INCONTROL))) + return results - def getNodeInControl(self, index): - return int(self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_NODE_INCONTROL)) class epanetapi: """ From f1b8d4d54d5e71bb2503e1020138d00d2fedbef4 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 3 Oct 2024 13:48:58 +0300 Subject: [PATCH 097/183] update 2.3 setFLowUnitsCMS() new function --- epyt/epanet.py | 15 ++++++++++++++- 1 file changed, 14 insertions(+), 1 deletion(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 0caa93d..4a49bcd 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -606,7 +606,7 @@ def __init__(self, *argv, version=2.2, ph=False, loadfile=False, customlib=None, self.TYPEHEADLOSS = ['HW', 'DW', 'CM'] # Constants for units self.TYPEUNITS = ['CFS', 'GPM', 'MGD', 'IMGD', 'AFD', - 'LPS', 'LPM', 'MLD', 'CMH', 'CMD'] + 'LPS', 'LPM', 'MLD', 'CMH', 'CMD','CMS'] # 0 = closed (max. head exceeded), 1 = temporarily closed, # 2 = closed, 3 = open, 4 = active (partially open) # 5 = open (max. flow exceeded), 6 = open (flow setting not met), @@ -7067,6 +7067,19 @@ def setFlowUnitsCMH(self, *argv): """ self.__setFlowUnits(self.ToolkitConstants.EN_CMH, *argv) # cubic meters per hour + def setFlowUnitsCMS(self, *argv): + + """ Sets flow units to CMS(Cubic Meters per Second). + + Example: + + >>> d.setFlowUnitsCMS() + >>> d.getFlowUnits() + + See also setFlowUnitsMLD, setFlowUnitsCMD. + """ + self.__setFlowUnits(self.ToolkitConstants.EN_CMS, *argv) + def setFlowUnitsGPM(self, *argv): """ Sets flow units to GPM(Gallons Per Minute). From 96c8b090beed19bcf482f9f90860e0e3350067ad Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 3 Oct 2024 14:03:44 +0300 Subject: [PATCH 098/183] getStatistic got another property .TotalLeakageLoss update 2.3 --- epyt/epanet.py | 7 ++----- 1 file changed, 2 insertions(+), 5 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 4a49bcd..40a5bfd 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -6272,6 +6272,7 @@ def getStatistic(self): value.RelativeError = self.api.ENgetstatistic(self.ToolkitConstants.EN_RELATIVEERROR) value.DeficientNodes = self.api.ENgetstatistic(self.ToolkitConstants.EN_DEFICIENTNODES) value.DemandReduction = self.api.ENgetstatistic(self.ToolkitConstants.EN_DEMANDREDUCTION) + value.TotalLeakageLoss = self.api.ENgetstatistic(self.ToolkitConstants.EN_LEAKAGELOSS) return value def getTimeSimulationDuration(self): @@ -7078,7 +7079,7 @@ def setFlowUnitsCMS(self, *argv): See also setFlowUnitsMLD, setFlowUnitsCMD. """ - self.__setFlowUnits(self.ToolkitConstants.EN_CMS, *argv) + self.__setFlowUnits(self.ToolkitConstants.EN_CMS, *argv) def setFlowUnitsGPM(self, *argv): """ Sets flow units to GPM(Gallons Per Minute). @@ -14076,10 +14077,6 @@ def getLinkLeakageRate(self, *argv): return self.__getLinkInfo(self.ToolkitConstants.EN_LINK_LEAKAGE, *argv) - def getTotalLeakageLoss(self): - - return self.api.ENgetstatistic(self.ToolkitConstants.EN_LEAKAGELOSS) - def getConsumerDemandReq(self, index): return self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_FULLDEMAND) From 7f3a6e6e5359a4998e29d2a4b975cf25f817357d Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 3 Oct 2024 14:04:11 +0300 Subject: [PATCH 099/183] getstatistic splitted into 5 new functions --- epyt/epanet.py | 20 ++++++++++++++++++++ 1 file changed, 20 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index 40a5bfd..a6744af 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -6275,6 +6275,26 @@ def getStatistic(self): value.TotalLeakageLoss = self.api.ENgetstatistic(self.ToolkitConstants.EN_LEAKAGELOSS) return value + def getStatisticTotalLeakageLoss(self): + + return self.api.ENgetstatistic(self.ToolkitConstants.EN_LEAKAGELOSS) + + def getStatisticIterations(self): + + return self.api.ENgetstatistic(self.ToolkitConstants.EN_ITERATIONS) + + def getStatisticRelativeError(self): + + return self.api.ENgetstatistic(self.ToolkitConstants.EN_RELATIVEERROR) + + def getStatisticDeficientNodes(self): + + return self.api.ENgetstatistic(self.ToolkitConstants.EN_DEFICIENTNODES) + + def getStatisticDemandReduction(self): + + return self.api.ENgetstatistic(self.ToolkitConstants.EN_DEMANDREDUCTION) + def getTimeSimulationDuration(self): """ Retrieves the value of simulation duration. From ab8ae464b5ce93f0c69b6deeb2b76ddd7675b600 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 3 Oct 2024 16:08:49 +0300 Subject: [PATCH 100/183] after every function is called there is a check for errors. if an error occurs now instead of the normal error message with the code , a new error will generated that includes the name of the function. This will help the user to quickly identify and address any issues. --- epyt/epanet.py | 39 +++++++++++++++++++++++++++++++++------ 1 file changed, 33 insertions(+), 6 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index a6744af..4b83fbd 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -564,6 +564,27 @@ class epanet: d = epanet(inpname, msx=True,customlib=epanetlib) """ + def __getattribute__(self, item): + # Call the superclass's __getattribute__ to retrieve the attribute + attr = super().__getattribute__(item) + + if callable(attr) and not item.startswith("__") and not item.startswith("_") and not item.startswith("EN"): + # Create a wrapper function to include additional actions + def wrapper(*args, **kwargs): + + result = attr(*args, **kwargs) + + # Check for API error code after the method call + if hasattr(self, 'api') and self.api.errcode != 0 and item != "logFunctionError": + # Log function error by passing the function name + self.logFunctionError(item) + + return result + + return wrapper # Return the wrapped function + + return attr # Return the attribute directly if not callable + def __init__(self, *argv, version=2.2, ph=False, loadfile=False, customlib=None, display_msg=True, display_warnings=True): # Constants @@ -14171,29 +14192,35 @@ def getLinkInControl(self, *args): return results def getNodeInControl(self, *args): + results = [] if not args: countnode = self.getNodeCount() - results = [] for index in range(1, countnode + 1): results.append(int(self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_NODE_INCONTROL))) return results if len(args) == 1: if isinstance(args[0], list): # If the single argument is a list - results = [] - for index in args[0]: # Loop through the list of indices + for index in args[0]: results.append(int(self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_NODE_INCONTROL))) return results else: # If it's a single index (not a list) index = args[0] - return int(self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_NODE_INCONTROL)) - # More than one argument provided - results = [] + return [int(self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_NODE_INCONTROL))] for index in args: results.append(int(self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_NODE_INCONTROL))) return results + def logFunctionError(self, nameofFunction): + """Notifies the user where the error is coming from with red text.""" + + # ANSI escape code for red text + red_text = "\033[91m" + reset_text = "\033[0m" + + print(f"{red_text}UserWarning: Error in function: {nameofFunction}{reset_text}") + class epanetapi: """ From 1de5053c97d7a0948e3d562948fd51c0c57092c5 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Fri, 4 Oct 2024 10:09:28 +0300 Subject: [PATCH 101/183] fix with program starting with errors --- epyt/epanet.py | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 4b83fbd..c984d7c 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -575,9 +575,14 @@ def wrapper(*args, **kwargs): result = attr(*args, **kwargs) # Check for API error code after the method call - if hasattr(self, 'api') and self.api.errcode != 0 and item != "logFunctionError": + if hasattr(self, 'api') and self.api.errcode != 0 and item != "logFunctionError" and item !="getError": # Log function error by passing the function name self.logFunctionError(item) + #if you want to chase the error uncomment + """ + print(self.api.errcode) + err = self.getError(self.api.errcode) + print(err)""" return result @@ -4898,6 +4903,7 @@ def getNodeSourcePatternIndex(self, *argv): value.append(e) else: value.append(0) + self.api.errcode = 0 if len(argv) > 0 and not isList(argv[0]): return value[0] return self.to_array(value) @@ -4923,6 +4929,7 @@ def getNodeSourceQuality(self, *argv): value.append(e) else: value.append(0) + self.api.errcode = 0 except Exception as Errcode: if Errcode.args[0][13:16] == '203': return self.getError(Errcode) @@ -4976,6 +4983,7 @@ def getNodeSourceTypeIndex(self, *argv): value.append(e) else: value.append(0) + self.api.errcode = 0 except Exception as Errcode: if Errcode.args[0][13:16] == '203': return self.getError(Errcode) From 4577fa601911f8b023647788adafede2dd477700 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Fri, 4 Oct 2024 10:24:31 +0300 Subject: [PATCH 102/183] smooth error messages for users 1 line instead of 2-3 lines for each error --- epyt/epanet.py | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index c984d7c..6c1bf6a 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -577,7 +577,8 @@ def wrapper(*args, **kwargs): # Check for API error code after the method call if hasattr(self, 'api') and self.api.errcode != 0 and item != "logFunctionError" and item !="getError": # Log function error by passing the function name - self.logFunctionError(item) + message = self.api.ENgeterror(self.api.errcode) + self.logFunctionError(item, message) #if you want to chase the error uncomment """ print(self.api.errcode) @@ -14220,14 +14221,14 @@ def getNodeInControl(self, *args): results.append(int(self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_NODE_INCONTROL))) return results - def logFunctionError(self, nameofFunction): + def logFunctionError(self, nameofFunction, message): """Notifies the user where the error is coming from with red text.""" # ANSI escape code for red text red_text = "\033[91m" reset_text = "\033[0m" - print(f"{red_text}UserWarning: Error in function: {nameofFunction}{reset_text}") + print(f"{red_text}UserWarning: Error in function: {nameofFunction},{message}{reset_text}") class epanetapi: @@ -15285,7 +15286,8 @@ def ENgeterror(self, errcode=0): self.errcode = errcode errmssg = create_string_buffer(150) self._lib.ENgeterror(self.errcode, byref(errmssg), 150) - warnings.warn(errmssg.value.decode()) + return errmssg.value.decode() # for smoother error messages + #warnings.warn(errmssg.value.decode()) def ENgetflowunits(self): """ Retrieves a project's flow units. From d65b8221fc5e17c00c2c84216186972ee29bf9b7 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Fri, 4 Oct 2024 10:42:59 +0300 Subject: [PATCH 103/183] Changed variables for easier understanding(item - > function_id) and updated functions for better usability --- epyt/epanet.py | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 6c1bf6a..5d71873 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -564,21 +564,21 @@ class epanet: d = epanet(inpname, msx=True,customlib=epanetlib) """ - def __getattribute__(self, item): + def __getattribute__(self, function_id): # Call the superclass's __getattribute__ to retrieve the attribute - attr = super().__getattribute__(item) + attr = super().__getattribute__(function_id) - if callable(attr) and not item.startswith("__") and not item.startswith("_") and not item.startswith("EN"): + if callable(attr) and not function_id.startswith("__") and not function_id.startswith("_") and not function_id.startswith("EN"): # Create a wrapper function to include additional actions def wrapper(*args, **kwargs): result = attr(*args, **kwargs) # Check for API error code after the method call - if hasattr(self, 'api') and self.api.errcode != 0 and item != "logFunctionError" and item !="getError": + if hasattr(self, 'api') and self.api.errcode != 0 and function_id != "logFunctionError" and function_id !="getError": # Log function error by passing the function name message = self.api.ENgeterror(self.api.errcode) - self.logFunctionError(item, message) + self.logFunctionError(function_id, message) #if you want to chase the error uncomment """ print(self.api.errcode) @@ -14119,7 +14119,7 @@ def setLinkLeakArea(self, index, value): self.api.ENsetlinkvalue(index,self.ToolkitConstants.EN_LEAK_AREA, value) - def setLinkExpansionProp(self, index, value): + def setLinkExpansionProperties(self, index, value): self.api.ENsetlinkvalue(index,self.ToolkitConstants.EN_LEAK_EXPAN, value) @@ -14127,15 +14127,15 @@ def getLinkLeakageRate(self, *argv): return self.__getLinkInfo(self.ToolkitConstants.EN_LINK_LEAKAGE, *argv) - def getConsumerDemandReq(self, index): + def getConsumerDemandRequested(self, index): return self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_FULLDEMAND) - def getConsumerDemandDel(self, index): + def getConsumerDemandDelivered(self, index): return self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_DEMANDFLOW) - def getConsumerDemandDiff(self, index): + def getConsumerDemandDificit(self, index): return self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_DEMANDDEFICIT) From ec5c73ab07c347faeefcc989223b609d5d36129d Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Fri, 4 Oct 2024 11:54:35 +0300 Subject: [PATCH 104/183] Updated comments for the family of functions using setFlowUnits. --- epyt/epanet.py | 178 ++++++++++++++++++++++++++++++++++++++++++++++--- 1 file changed, 167 insertions(+), 11 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 5d71873..845b529 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -7078,7 +7078,21 @@ def setFlowUnitsAFD(self, *argv): >>> d.setFlowUnitsAFD() # d.setFlowUnitsAFD('NET1_AFD.inp') >>> d.getFlowUnits() - See also setFlowUnitsCFS, setFlowUnitsIMGD. + See also: + # Functions for PSI (sorted by higher to lower capacity): + setFlowUnitsAFD() ### Acre-feet per day (higher capacity than GPM) + setFlowUnitsIMGD() ### Imperial million gallons per day (higher capacity than AFD) + setFlowUnitsCFS() ### Cubic feet per second (higher capacity than IMGD) + setFlowUnitsMGD() ### Million gallons per day (similar capacity to IMGD) + setFlowUnitsGPM() ### Gallons per minute (lower capacity than AFD, IMGD, CFS, and MGD) + + Functions for KPA and meters (sorted by higher to lower capacity): + setFlowUnitsCMH() ### Cubic meters per hour (higher capacity than CMS) + setFlowUnitsCMS() ### Cubic meters per second (higher capacity than LPS) + setFlowUnitsMLD() ### Million liters per day (higher capacity than CMD and LPM) + setFlowUnitsCMD() ### Cubic meters per day (lower capacity than MLD) + setFlowUnitsLPS() ### Liters per second (lower capacity than CMH and CMS) + setFlowUnitsLPM() ### Liters per minute (lower capacity than LPS) """ self.__setFlowUnits(self.ToolkitConstants.EN_AFD, *argv) # acre-feet per day @@ -7090,7 +7104,21 @@ def setFlowUnitsCFS(self, *argv): >>> d.setFlowUnitsCFS() # d.setFlowUnitsCFS('NET1_CFS.inp') >>> d.getFlowUnits() - See also setFlowUnitsAFD, setFlowUnitsIMGD. + See also: + # Functions for PSI (sorted by higher to lower capacity): + setFlowUnitsAFD() ### Acre-feet per day (higher capacity than GPM) + setFlowUnitsIMGD() ### Imperial million gallons per day (higher capacity than AFD) + setFlowUnitsCFS() ### Cubic feet per second (higher capacity than IMGD) + setFlowUnitsMGD() ### Million gallons per day (similar capacity to IMGD) + setFlowUnitsGPM() ### Gallons per minute (lower capacity than AFD, IMGD, CFS, and MGD) + + Functions for KPA and meters (sorted by higher to lower capacity): + setFlowUnitsCMH() ### Cubic meters per hour (higher capacity than CMS) + setFlowUnitsCMS() ### Cubic meters per second (higher capacity than LPS) + setFlowUnitsMLD() ### Million liters per day (higher capacity than CMD and LPM) + setFlowUnitsCMD() ### Cubic meters per day (lower capacity than MLD) + setFlowUnitsLPS() ### Liters per second (lower capacity than CMH and CMS) + setFlowUnitsLPM() ### Liters per minute (lower capacity than LPS) """ self.__setFlowUnits(self.ToolkitConstants.EN_CFS, *argv) # cubic feet per second @@ -7102,7 +7130,21 @@ def setFlowUnitsCMD(self, *argv): >>> d.setFlowUnitsCMD() # d.setFlowUnitsCMD('NET1_CMD.inp') >>> d.getFlowUnits() - See also setFlowUnitsMLD, setFlowUnitsCMH. + See also: + # Functions for PSI (sorted by higher to lower capacity): + setFlowUnitsAFD() ### Acre-feet per day (higher capacity than GPM) + setFlowUnitsIMGD() ### Imperial million gallons per day (higher capacity than AFD) + setFlowUnitsCFS() ### Cubic feet per second (higher capacity than IMGD) + setFlowUnitsMGD() ### Million gallons per day (similar capacity to IMGD) + setFlowUnitsGPM() ### Gallons per minute (lower capacity than AFD, IMGD, CFS, and MGD) + + Functions for KPA and meters (sorted by higher to lower capacity): + setFlowUnitsCMH() ### Cubic meters per hour (higher capacity than CMS) + setFlowUnitsCMS() ### Cubic meters per second (higher capacity than LPS) + setFlowUnitsMLD() ### Million liters per day (higher capacity than CMD and LPM) + setFlowUnitsCMD() ### Cubic meters per day (lower capacity than MLD) + setFlowUnitsLPS() ### Liters per second (lower capacity than CMH and CMS) + setFlowUnitsLPM() ### Liters per minute (lower capacity than LPS) """ self.__setFlowUnits(self.ToolkitConstants.EN_CMD, *argv) # cubic meters per day @@ -7114,7 +7156,21 @@ def setFlowUnitsCMH(self, *argv): >>> d.setFlowUnitsCMH() # d.setFlowUnitsCMH('NET1_CMH.inp') >>> d.getFlowUnits() - See also setFlowUnitsMLD, setFlowUnitsCMD. + See also: + # Functions for PSI (sorted by higher to lower capacity): + setFlowUnitsAFD() ### Acre-feet per day (higher capacity than GPM) + setFlowUnitsIMGD() ### Imperial million gallons per day (higher capacity than AFD) + setFlowUnitsCFS() ### Cubic feet per second (higher capacity than IMGD) + setFlowUnitsMGD() ### Million gallons per day (similar capacity to IMGD) + setFlowUnitsGPM() ### Gallons per minute (lower capacity than AFD, IMGD, CFS, and MGD) + + Functions for KPA and meters (sorted by higher to lower capacity): + setFlowUnitsCMH() ### Cubic meters per hour (higher capacity than CMS) + setFlowUnitsCMS() ### Cubic meters per second (higher capacity than LPS) + setFlowUnitsMLD() ### Million liters per day (higher capacity than CMD and LPM) + setFlowUnitsCMD() ### Cubic meters per day (lower capacity than MLD) + setFlowUnitsLPS() ### Liters per second (lower capacity than CMH and CMS) + setFlowUnitsLPM() ### Liters per minute (lower capacity than LPS) """ self.__setFlowUnits(self.ToolkitConstants.EN_CMH, *argv) # cubic meters per hour @@ -7127,7 +7183,21 @@ def setFlowUnitsCMS(self, *argv): >>> d.setFlowUnitsCMS() >>> d.getFlowUnits() - See also setFlowUnitsMLD, setFlowUnitsCMD. + See also: + # Functions for PSI (sorted by higher to lower capacity): + setFlowUnitsAFD() ### Acre-feet per day (higher capacity than GPM) + setFlowUnitsIMGD() ### Imperial million gallons per day (higher capacity than AFD) + setFlowUnitsCFS() ### Cubic feet per second (higher capacity than IMGD) + setFlowUnitsMGD() ### Million gallons per day (similar capacity to IMGD) + setFlowUnitsGPM() ### Gallons per minute (lower capacity than AFD, IMGD, CFS, and MGD) + + Functions for KPA and meters (sorted by higher to lower capacity): + setFlowUnitsCMH() ### Cubic meters per hour (higher capacity than CMS) + setFlowUnitsCMS() ### Cubic meters per second (higher capacity than LPS) + setFlowUnitsMLD() ### Million liters per day (higher capacity than CMD and LPM) + setFlowUnitsCMD() ### Cubic meters per day (lower capacity than MLD) + setFlowUnitsLPS() ### Liters per second (lower capacity than CMH and CMS) + setFlowUnitsLPM() ### Liters per minute (lower capacity than LPS) """ self.__setFlowUnits(self.ToolkitConstants.EN_CMS, *argv) @@ -7139,10 +7209,26 @@ def setFlowUnitsGPM(self, *argv): >>> d.setFlowUnitsGPM() # d.setFlowUnitsGPM('NET1_GPM.inp') >>> d.getFlowUnits() - See also setFlowUnitsLPS, setFlowUnitsMGD. + See also: + # Functions for PSI (sorted by higher to lower capacity): + setFlowUnitsAFD() ### Acre-feet per day (higher capacity than GPM) + setFlowUnitsIMGD() ### Imperial million gallons per day (higher capacity than AFD) + setFlowUnitsCFS() ### Cubic feet per second (higher capacity than IMGD) + setFlowUnitsMGD() ### Million gallons per day (similar capacity to IMGD) + setFlowUnitsGPM() ### Gallons per minute (lower capacity than AFD, IMGD, CFS, and MGD) + + Functions for KPA and meters (sorted by higher to lower capacity): + setFlowUnitsCMH() ### Cubic meters per hour (higher capacity than CMS) + setFlowUnitsCMS() ### Cubic meters per second (higher capacity than LPS) + setFlowUnitsMLD() ### Million liters per day (higher capacity than CMD and LPM) + setFlowUnitsCMD() ### Cubic meters per day (lower capacity than MLD) + setFlowUnitsLPS() ### Liters per second (lower capacity than CMH and CMS) + setFlowUnitsLPM() ### Liters per minute (lower capacity than LPS) """ self.__setFlowUnits(self.ToolkitConstants.EN_GPM, *argv) # gallons per minute + + def setFlowUnitsIMGD(self, *argv): """ Sets flow units to IMGD(Imperial Million Gallons per Day). @@ -7151,7 +7237,21 @@ def setFlowUnitsIMGD(self, *argv): >>> d.setFlowUnitsIMGD() # d.setFlowUnitsIMGD('NET1_IMGD.inp') >>> d.getFlowUnits() - See also setFlowUnitsMGD, setFlowUnitsCFS. + See also: + # Functions for PSI (sorted by higher to lower capacity): + setFlowUnitsAFD() ### Acre-feet per day (higher capacity than GPM) + setFlowUnitsIMGD() ### Imperial million gallons per day (higher capacity than AFD) + setFlowUnitsCFS() ### Cubic feet per second (higher capacity than IMGD) + setFlowUnitsMGD() ### Million gallons per day (similar capacity to IMGD) + setFlowUnitsGPM() ### Gallons per minute (lower capacity than AFD, IMGD, CFS, and MGD) + + Functions for KPA and meters (sorted by higher to lower capacity): + setFlowUnitsCMH() ### Cubic meters per hour (higher capacity than CMS) + setFlowUnitsCMS() ### Cubic meters per second (higher capacity than LPS) + setFlowUnitsMLD() ### Million liters per day (higher capacity than CMD and LPM) + setFlowUnitsCMD() ### Cubic meters per day (lower capacity than MLD) + setFlowUnitsLPS() ### Liters per second (lower capacity than CMH and CMS) + setFlowUnitsLPM() ### Liters per minute (lower capacity than LPS) """ self.__setFlowUnits(self.ToolkitConstants.EN_IMGD, *argv) # imperial mgd @@ -7163,7 +7263,21 @@ def setFlowUnitsLPM(self, *argv): >>> d.setFlowUnitsLPM() # d.setFlowUnitsLPM('NET1_LPM.inp') >>> d.getFlowUnits() - See also setFlowUnitsAFD, setFlowUnitsMLD. + See also: + # Functions for PSI (sorted by higher to lower capacity): + setFlowUnitsAFD() ### Acre-feet per day (higher capacity than GPM) + setFlowUnitsIMGD() ### Imperial million gallons per day (higher capacity than AFD) + setFlowUnitsCFS() ### Cubic feet per second (higher capacity than IMGD) + setFlowUnitsMGD() ### Million gallons per day (similar capacity to IMGD) + setFlowUnitsGPM() ### Gallons per minute (lower capacity than AFD, IMGD, CFS, and MGD) + + Functions for KPA and meters (sorted by higher to lower capacity): + setFlowUnitsCMH() ### Cubic meters per hour (higher capacity than CMS) + setFlowUnitsCMS() ### Cubic meters per second (higher capacity than LPS) + setFlowUnitsMLD() ### Million liters per day (higher capacity than CMD and LPM) + setFlowUnitsCMD() ### Cubic meters per day (lower capacity than MLD) + setFlowUnitsLPS() ### Liters per second (lower capacity than CMH and CMS) + setFlowUnitsLPM() ### Liters per minute (lower capacity than LPS) """ self.__setFlowUnits(self.ToolkitConstants.EN_LPM, *argv) # liters per minute @@ -7175,7 +7289,21 @@ def setFlowUnitsLPS(self, *argv): >>> d.setFlowUnitsLPS() # d.setFlowUnitsLPS('NET1_LPS.inp') >>> d.getFlowUnits() - See also setFlowUnitsGPM, setFlowUnitsMGD. + See also: + # Functions for PSI (sorted by higher to lower capacity): + setFlowUnitsAFD() ### Acre-feet per day (higher capacity than GPM) + setFlowUnitsIMGD() ### Imperial million gallons per day (higher capacity than AFD) + setFlowUnitsCFS() ### Cubic feet per second (higher capacity than IMGD) + setFlowUnitsMGD() ### Million gallons per day (similar capacity to IMGD) + setFlowUnitsGPM() ### Gallons per minute (lower capacity than AFD, IMGD, CFS, and MGD) + + Functions for KPA and meters (sorted by higher to lower capacity): + setFlowUnitsCMH() ### Cubic meters per hour (higher capacity than CMS) + setFlowUnitsCMS() ### Cubic meters per second (higher capacity than LPS) + setFlowUnitsMLD() ### Million liters per day (higher capacity than CMD and LPM) + setFlowUnitsCMD() ### Cubic meters per day (lower capacity than MLD) + setFlowUnitsLPS() ### Liters per second (lower capacity than CMH and CMS) + setFlowUnitsLPM() ### Liters per minute (lower capacity than LPS) """ self.__setFlowUnits(self.ToolkitConstants.EN_LPS, *argv) # liters per second @@ -7187,7 +7315,21 @@ def setFlowUnitsMGD(self, *argv): >>> d.setFlowUnitsMGD() # d.setFlowUnitsMGD('NET1_MGD.inp') >>> d.getFlowUnits() - See also setFlowUnitsGPM, setFlowUnitsLPS. + See also: + # Functions for PSI (sorted by higher to lower capacity): + setFlowUnitsAFD() ### Acre-feet per day (higher capacity than GPM) + setFlowUnitsIMGD() ### Imperial million gallons per day (higher capacity than AFD) + setFlowUnitsCFS() ### Cubic feet per second (higher capacity than IMGD) + setFlowUnitsMGD() ### Million gallons per day (similar capacity to IMGD) + setFlowUnitsGPM() ### Gallons per minute (lower capacity than AFD, IMGD, CFS, and MGD) + + Functions for KPA and meters (sorted by higher to lower capacity): + setFlowUnitsCMH() ### Cubic meters per hour (higher capacity than CMS) + setFlowUnitsCMS() ### Cubic meters per second (higher capacity than LPS) + setFlowUnitsMLD() ### Million liters per day (higher capacity than CMD and LPM) + setFlowUnitsCMD() ### Cubic meters per day (lower capacity than MLD) + setFlowUnitsLPS() ### Liters per second (lower capacity than CMH and CMS) + setFlowUnitsLPM() ### Liters per minute (lower capacity than LPS) """ self.__setFlowUnits(self.ToolkitConstants.EN_MGD, *argv) # million gallons per day @@ -7199,7 +7341,21 @@ def setFlowUnitsMLD(self, *argv): >>> d.setFlowUnitsMLD() # d.setFlowUnitsMLD('NET1_MLD.inp') >>> d.getFlowUnits() - See also setFlowUnitsLPM, setFlowUnitsCMH. + See also: + # Functions for PSI (sorted by higher to lower capacity): + setFlowUnitsAFD() ### Acre-feet per day (higher capacity than GPM) + setFlowUnitsIMGD() ### Imperial million gallons per day (higher capacity than AFD) + setFlowUnitsCFS() ### Cubic feet per second (higher capacity than IMGD) + setFlowUnitsMGD() ### Million gallons per day (similar capacity to IMGD) + setFlowUnitsGPM() ### Gallons per minute (lower capacity than AFD, IMGD, CFS, and MGD) + + Functions for KPA and meters (sorted by higher to lower capacity): + setFlowUnitsCMH() ### Cubic meters per hour (higher capacity than CMS) + setFlowUnitsCMS() ### Cubic meters per second (higher capacity than LPS) + setFlowUnitsMLD() ### Million liters per day (higher capacity than CMD and LPM) + setFlowUnitsCMD() ### Cubic meters per day (lower capacity than MLD) + setFlowUnitsLPS() ### Liters per second (lower capacity than CMH and CMS) + setFlowUnitsLPM() ### Liters per minute (lower capacity than LPS) """ self.__setFlowUnits(self.ToolkitConstants.EN_MLD, *argv) # million liters per day From 135b8f86b8ea3a3132772dc3646e4e929c10eb7c Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Fri, 4 Oct 2024 11:56:20 +0300 Subject: [PATCH 105/183] Function that checks the current flow units and returns whether it's PSI or KPA and METERS. --- epyt/epanet.py | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index 845b529..1bfdc88 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -14386,6 +14386,17 @@ def logFunctionError(self, nameofFunction, message): print(f"{red_text}UserWarning: Error in function: {nameofFunction},{message}{reset_text}") + def FlowUnitsCheck(self): + flowunits = self.getFlowUnits() + if flowunits == "MDG" or flowunits == "IMGD" or flowunits == "CFS" or flowunits == "CFS" or flowunits == "GPM": + return "PSI" + else: + if (flowunits == "CMH" or flowunits == "CMS" or flowunits == "MLD" or flowunits == "CMD" or flowunits == "LPS" or + flowunits == "LPM"): + return "KPA AND METERS" + else: + return "UNKNOWN" + class epanetapi: """ From 681bb9da28b6e66ca1d86afce95949f2ccd17ee6 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Fri, 4 Oct 2024 12:00:23 +0300 Subject: [PATCH 106/183] Function that checks if the change of metric is possible; if not, it recommends a set of functions to the user to make it possible. --- epyt/epanet.py | 28 ++++++++++++++++++++++++++++ 1 file changed, 28 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index 1bfdc88..01901fd 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -9520,12 +9520,15 @@ def setOptionsPressureUnits(self, value): return self.api.ENsetoption(self.ToolkitConstants.EN_PRESS_UNITS, value) def setOptionsPressureUnitsMeters(self): + self.ErrorinChangingMetric("KPA AND METERS","setOptionsPressureUnitsMeters") return self.setOptionsPressureUnits(self.ToolkitConstants.EN_METERS) def setOptionsPressureUnitsPSI(self): + self.ErrorinChangingMetric("PSI", "setOptionsPressureUnitsPSI") return self.setOptionsPressureUnits(self.ToolkitConstants.EN_PSI) def setOptionsPressureUnitsKPA(self): + self.ErrorinChangingMetric("KPA AND METERS","setOptionsPressureUnitsKPA") return self.setOptionsPressureUnits(self.ToolkitConstants.EN_KPA) @@ -14386,6 +14389,31 @@ def logFunctionError(self, nameofFunction, message): print(f"{red_text}UserWarning: Error in function: {nameofFunction},{message}{reset_text}") + def ErrorinChangingMetric(self, wanted, nameofFunction): + red_text = "\033[91m" + reset_text = "\033[0m" + current = self.FlowUnitsCheck() + if current == "PSI" and wanted == "KPA AND METERS": + print(f"{red_text}UserWarning: Error in function: {nameofFunction}, the function didnt change the metric Please change" + f" the metric using one of the following:\n " + f"1. setFlowUnitsCMH() -> Cubic meters per hour \n" + f" 2. setFlowUnitsCMS() -> Cubic meters per second \n" + f" 3. setFlowUnitsMLD() -> Million liters per day \n" + f" 4. setFlowUnitsCMD() -> Cubic meters per day \n" + f" 5. setFlowUnitsLPS() -> Liters per second \n" + f" 6. setFlowUnitsLPM() -> Liters per minute {reset_text}") + else: + if current == "KPA AND METERS" and wanted == "PSI": + print( + f"{red_text}UserWarning: Error in function: {nameofFunction}, the function didnt change the metric, Please change" + f" the metric using one of the following:\n" + f" 1. setFlowUnitsAFD() -> Acre-feet per day \n" + f" 2. setFlowUnitsIMGD()-> Imperial million gallons per day \n" + f" 3. setFlowUnitsCFS() -> Cubic feet per second \n" + f" 4. setFlowUnitsMGD() -> Million gallons per day \n" + f" 5. setFlowUnitsGPM() -> Gallons per minute \n{reset_text}") + + def FlowUnitsCheck(self): flowunits = self.getFlowUnits() if flowunits == "MDG" or flowunits == "IMGD" or flowunits == "CFS" or flowunits == "CFS" or flowunits == "GPM": From dcc1ca28d07f0e075d337588b0bf1e67e19838f7 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Fri, 4 Oct 2024 12:08:23 +0300 Subject: [PATCH 107/183] Comments for set of functions -> setOptionsPressureUnits --- epyt/epanet.py | 30 ++++++++++++++++++++++++++++++ 1 file changed, 30 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index 01901fd..3b5db66 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -9520,14 +9520,44 @@ def setOptionsPressureUnits(self, value): return self.api.ENsetoption(self.ToolkitConstants.EN_PRESS_UNITS, value) def setOptionsPressureUnitsMeters(self): + """Function to set pressure units to meters and check if the change is possible. + + - If not possible, suggests functions to the user to enable the change. + + Example: + inpfile = "Net3.inp" + d = epanet(inpfile) + d.setOptionsPressureUnitsMeters() + x = d.getOptionsPressureUnits() + """ self.ErrorinChangingMetric("KPA AND METERS","setOptionsPressureUnitsMeters") return self.setOptionsPressureUnits(self.ToolkitConstants.EN_METERS) def setOptionsPressureUnitsPSI(self): + """Function to set pressure units to PSI and check if the change is possible. + + - If not possible, suggests functions to the user to enable the change. + + Example: + inpfile = "Net3.inp" + d = epanet(inpfile) + d.setOptionsPressureUnitsPSI() + x = d.getOptionsPressureUnits() + """ self.ErrorinChangingMetric("PSI", "setOptionsPressureUnitsPSI") return self.setOptionsPressureUnits(self.ToolkitConstants.EN_PSI) def setOptionsPressureUnitsKPA(self): + """Function to set pressure units to meters and check if the change is possible. + + - If not possible, suggests functions to the user to enable the change. + + Example: + inpfile = "Net3.inp" + d = epanet(inpfile) + d.setOptionsPressureUnitsKPA() + x = d.getOptionsPressureUnits() + """ self.ErrorinChangingMetric("KPA AND METERS","setOptionsPressureUnitsKPA") return self.setOptionsPressureUnits(self.ToolkitConstants.EN_KPA) From f60aec4a8f7043f38472773b032a1b39ca343faa Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Fri, 4 Oct 2024 12:15:08 +0300 Subject: [PATCH 108/183] comments for set of functions -> setOptionsStatusReport --- epyt/epanet.py | 45 +++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 45 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index 3b5db66..6b093e0 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -9570,12 +9570,57 @@ def setOptionsStatusReport(self, value): return self.api.ENsetoption(self.ToolkitConstants.EN_STATUS_REPORT, value) def setOptionsStatusReportNo(self): + """Function to set the status report option to 'No Report'. + + Returns: + The result of the API call to set the status report option. In this case "NO REPORT" + + Example : + inpfile = "Net3.inp" + d = epanet(inpfile) + d.setOptionsStatusReportNo() + x = d.getOptionsStatusReport() + print(x) + + See Also: setOptionsStatusReportFull , setOptionsStatusReportNormal + + """ return self.api.ENsetoption(self.ToolkitConstants.EN_STATUS_REPORT, self.ToolkitConstants.EN_NO_REPORT) def setOptionsStatusReportFull(self): + """Function to set the status report option to 'No Report'. + + Returns: + The result of the API call to set the status report option. In this case "FULL REPORT" + + Example : + inpfile = "Net3.inp" + d = epanet(inpfile) + d.setOptionsStatusReportFull() + x = d.getOptionsStatusReport() + print(x) + + See Also: setOptionsStatusReportNo , setOptionsStatusReportNormal + + """ return self.api.ENsetoption(self.ToolkitConstants.EN_STATUS_REPORT, self.ToolkitConstants.EN_FULL_REPORT) def setOptionsStatusReportNormal(self): + """Function to set the status report option to 'No Report'. + + Returns: + The result of the API call to set the status report option. In this case "NORMAL REPORT" + + Example : + inpfile = "Net3.inp" + d = epanet(inpfile) + d.setOptionsStatusReportNormal() + x = d.getOptionsStatusReport() + print(x) + + See Also: setOptionsStatusReportNo , setOptionsStatusReportFull + + """ return self.api.ENsetoption(self.ToolkitConstants.EN_STATUS_REPORT, self.ToolkitConstants.EN_NORMAL_REPORT) def setQualityType(self, *argv): From 5d8e22fce04916ad1fabef9b5ffe3d539123184a Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Fri, 4 Oct 2024 12:25:33 +0300 Subject: [PATCH 109/183] Comments for get/set LinkLeakArea --- epyt/epanet.py | 37 +++++++++++++++++++++++++++++++++++++ 1 file changed, 37 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index 6b093e0..eb1210a 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -14342,7 +14342,28 @@ def setOptionsEmitterBackFlowDisallowed(self): def getLinkLeakArea(self, *argv): + """ + Function to retrieve the leak area for a specified link (pipe). + + Returns: + float: The current leak area value for the specified link. + + Example 1 Retrieving all Links: + inpfile = "Net1.inp" + d = epanet(inpfile) + d.setLinkLeakArea(2,10.5) + x = d.getLinkLeakArea() + print(x) + + Example 2 Retrieving one link: + inpfile = "Net1.inp" + d = epanet(inpfile) + d.setLinkLeakArea(2,10.5) + x = d.getLinkLeakArea(2) + print(x) + See also: setLinkLeakArea + """ return self.__getLinkInfo(self.ToolkitConstants.EN_LEAK_AREA, *argv) def getLinkExpansionProp(self, *argv): @@ -14350,7 +14371,23 @@ def getLinkExpansionProp(self, *argv): return self.__getLinkInfo(self.ToolkitConstants.EN_LEAK_EXPAN, *argv) def setLinkLeakArea(self, index, value): + """ + Function to set the leak arean for a specified link (pipe). + + input: + index(int) : The index of the link(pipe) for which to set the leak area (starting from 1) + value (float) : the value to assign as the leak area to the specified link + + Example: + inpfile = "Net1.inp" + d = epanet(inpfile) + d.setLinkLeakArea(2,10.5) + x = d.getLinkLeakArea() + print(x) + + See also: getLinkLeakArea + """ self.api.ENsetlinkvalue(index,self.ToolkitConstants.EN_LEAK_AREA, value) def setLinkExpansionProperties(self, index, value): From 450b9f08acfbbb15f917ac14ca59795370a86213 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Fri, 4 Oct 2024 12:32:28 +0300 Subject: [PATCH 110/183] comments for get/set LinkExpansionProperties() --- epyt/epanet.py | 40 +++++++++++++++++++++++++++++++++++++++- 1 file changed, 39 insertions(+), 1 deletion(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index eb1210a..e34f193 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -14366,8 +14366,29 @@ def getLinkLeakArea(self, *argv): """ return self.__getLinkInfo(self.ToolkitConstants.EN_LEAK_AREA, *argv) - def getLinkExpansionProp(self, *argv): + def getLinkExpansionProperties(self, *argv): + """ + Function to retrieve the expansion properties for a specified link (pipe). + + Returns: + float: The current expansion property value for the specified link. + + Example 1 Retrieving all link expansion properties: + inpfile = "Net1.inp" + d = epanet(inpfile) + d.setLinkExpansionProperties(5,2) + x = d.getLinkExpansionProperties() + print(x) + + Example 2 Retrieving one link expansion property: + inpfile = "Net1.inp" + d = epanet(inpfile) + d.setLinkExpansionProperties(5,2) + x = d.getLinkExpansionProperties(5) + print(x) + See also : setLinkExpansionProperties() + """ return self.__getLinkInfo(self.ToolkitConstants.EN_LEAK_EXPAN, *argv) def setLinkLeakArea(self, index, value): @@ -14391,7 +14412,24 @@ def setLinkLeakArea(self, index, value): self.api.ENsetlinkvalue(index,self.ToolkitConstants.EN_LEAK_AREA, value) def setLinkExpansionProperties(self, index, value): + """ + Function to set the expansion properties for a specified link (pipe). + + Input: + index (int): The index of the link (pipe) for which to set the expansion properties. (starting from 1) + value (float): The value to assign as the expansion property for the specified link. + Example: + inpfile = "Net1.inp" + d = epanet(inpfile) + + d.setLinkExpansionProperties(5,2) + x = d.getLinkExpansionProperties() + print(x) + + See also: + getLinkExpansionProperties + """ self.api.ENsetlinkvalue(index,self.ToolkitConstants.EN_LEAK_EXPAN, value) def getLinkLeakageRate(self, *argv): From d8d4dcdb82161d3a1649b76e4ac7ad2ba84c9eef Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Fri, 4 Oct 2024 12:36:02 +0300 Subject: [PATCH 111/183] removed duplicate function getConsumerDemandDeficit -> getNodeDemandDeficit() exists --- epyt/epanet.py | 5 ----- 1 file changed, 5 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index e34f193..11a247c 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -14444,11 +14444,6 @@ def getConsumerDemandDelivered(self, index): return self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_DEMANDFLOW) - def getConsumerDemandDificit(self, index): - - return self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_DEMANDDEFICIT) - - def getNodeLeakageFlow(self, index): return self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_LEAKAGEFLOW) From a46d2e318986e70a39b4bec1680c51fc3663b794 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Fri, 4 Oct 2024 12:39:27 +0300 Subject: [PATCH 112/183] Comments for non user functions --- epyt/epanet.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index 11a247c..446f9fb 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -14450,6 +14450,7 @@ def getNodeLeakageFlow(self, index): def isConnected(self): + """Checks if the water network is fully connected""" matrix = self.getConnectivityMatrix() n = len(matrix) visited = [False] * n @@ -14535,6 +14536,7 @@ def logFunctionError(self, nameofFunction, message): print(f"{red_text}UserWarning: Error in function: {nameofFunction},{message}{reset_text}") def ErrorinChangingMetric(self, wanted, nameofFunction): + "Checks if the metric change is not possible and suggest possbile solutions" red_text = "\033[91m" reset_text = "\033[0m" current = self.FlowUnitsCheck() @@ -14560,6 +14562,7 @@ def ErrorinChangingMetric(self, wanted, nameofFunction): def FlowUnitsCheck(self): + "Returns the Metric of the system" flowunits = self.getFlowUnits() if flowunits == "MDG" or flowunits == "IMGD" or flowunits == "CFS" or flowunits == "CFS" or flowunits == "GPM": return "PSI" From c8157e97fcf7212c12f6ef1f69a2198cb9ab8f5f Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Fri, 4 Oct 2024 12:58:00 +0300 Subject: [PATCH 113/183] Coments for getLinkInControl & getNodeInControl --- epyt/epanet.py | 103 +++++++++++++++++++++++++++++++++++++++++-------- 1 file changed, 86 insertions(+), 17 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 446f9fb..14439ce 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -14482,30 +14482,99 @@ def getTimetoNextEvent(self): return x, y, z def getLinkInControl(self, *args): + """ + Function to determine wether a link apperas in any simple or rule based control - if not args: - countlink = self.getLinkCount() - results = [] - for index in range(1, countlink + 1): - results.append(int(self.api.ENgetlinkvalue(index, self.ToolkitConstants.EN_LINK_INCONTROL))) - return results + Return: (int) 1 if the link has control, 0 otherwise - if len(args) == 1: - if isinstance(args[0], list): # If the single argument is a list - results = [] - for index in args[0]: # Loop through the list of indices - results.append(int(self.api.ENgetlinkvalue(index, self.ToolkitConstants.EN_LINK_INCONTROL))) - return results - else: # If it's a single index (not a list) - index = args[0] - return int(self.api.ENgetlinkvalue(index, self.ToolkitConstants.EN_LINK_INCONTROL)) - # More than one argument provided + Example 1 Retrieving one Link: + inpfile = "Net1.inp" + + d = epanet(inpfile) + linkcontrolid = d.getControls(1).LinkID + linkcontrolindex = d.getLinkIndex(linkcontrolid) + x = d.getLinkInControl(linkcontrolindex) + print(x) # it will return 1 + + Example 2 Retrieving all Links: + inpfile = "Net1.inp" + + d = epanet(inpfile) + x = d.getLinkInControl() + print(x) + + Example 3 Retrieving more than one link: + inpfile = "Net1.inp" + + d = epanet(inpfile) + x = d.getLinkInControl(1,2,3,13) #Link with index 13 is the one with control in Net1 + print(x) + + Example 4 Retrieving more than one link using list: + inpfile = "Net1.inp" + + d = epanet(inpfile) + x = d.getLinkInControl([1,2,3,13]) + print(x) + """ + if not args: + countlink = self.getLinkCount() results = [] - for index in args: + for index in range(1, countlink + 1): results.append(int(self.api.ENgetlinkvalue(index, self.ToolkitConstants.EN_LINK_INCONTROL))) return results + if len(args) == 1: + if isinstance(args[0], list): # If the single argument is a list + results = [] + for index in args[0]: # Loop through the list of indices + results.append(int(self.api.ENgetlinkvalue(index, self.ToolkitConstants.EN_LINK_INCONTROL))) + return results + else: # If it's a single index (not a list) + index = args[0] + return int(self.api.ENgetlinkvalue(index, self.ToolkitConstants.EN_LINK_INCONTROL)) + # More than one argument provided + results = [] + for index in args: + results.append(int(self.api.ENgetlinkvalue(index, self.ToolkitConstants.EN_LINK_INCONTROL))) + return results + def getNodeInControl(self, *args): + """ + Function to determine wether a node apperas in any simple or rule based control + + Return: (int) 1 if the Node has control, 0 otherwise + + Example 1 Retrieving one Node: + inpfile = "Net1.inp" + + d = epanet(inpfile) + nodecontrolid = d.getControls(1).NodeID + nodecontrolindex = d.getNodeIndex(nodecontrolid) + x = d.getNodeInControl(nodecontrolindex) + print(x) # it will return 1 + + Example 2 Retrieving all Nodes: + inpfile = "Net1.inp" + d = epanet(inpfile) + + x = d.getLinkInControl() + print(x) + + Example 3 Retrieving more than one Node: + inpfile = "Net1.inp" + d = epanet(inpfile) + + x = d.getNodeInControl(1, 2, 3, 9) #Node with index 9 is the one with control in Net1 + print(x) + + Example 4 Retrieving more than one link using list: + inpfile = "Net1.inp" + d = epanet(inpfile) + + x = d.getNodeInControl([1, 2, 3, 9]) + print(x) + """ results = [] if not args: From 2fa0984591e8474e52572325dcc199b346c1a0b4 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Fri, 4 Oct 2024 13:38:36 +0300 Subject: [PATCH 114/183] fix on setVertex() from float to double and updated example --- epyt/epanet.py | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 14439ce..3f08df1 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -14078,14 +14078,14 @@ def setVertex(self, index, vertex, x, y): # Initialize EPANET model with the input file d = epanet(inpname) - # Set the coordinates of the first vertex point (vertex index 1) in link with index 1 - errcode = d.setvertex(1, 1, 1.0, 1.0) - - # Check if the operation was successful - if errcode == 0: - print("Vertex coordinates set successfully.") - else: - print(f"Error setting vertex coordinates. Error code: {d.getError(errcode)}") + linkID = '10' + x = [ 22,24, 28] + y = [ 30,68, 69] + d.setLinkVertices(linkID, x, y) + x = d.getLinkVertices() + d.setVertex(1,1,1,1) + x = d.getLinkVertices() + print(x) """ errcode = self.api.ENsetvertex(index, vertex, x, y) @@ -15408,8 +15408,8 @@ def ENsetvertex(self, index, vertex, x, y): y = c_double(y) self.errcode = self._lib.EN_setvertex(self._ph, index, vertex, x, y) else: - x = c_float(x) - y = c_float(y) + x = c_double(x) + y = c_double(y) self.errcode = self._lib.ENsetvertex(index, vertex, x, y) self.ENgeterror() return self.errcode From 44c97a85d10254ba64036669a72929fb50555e14 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Fri, 4 Oct 2024 22:44:34 +0300 Subject: [PATCH 115/183] comments for set/get LinkValveCurveGPV/PCV --- epyt/epanet.py | 89 ++++++++++++++++++++++++++++++++++++++++++++++++-- 1 file changed, 87 insertions(+), 2 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 3f08df1..f9c85cb 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -14266,18 +14266,103 @@ def getLinkValues(self, property): return values def getLinkValveCurveGPV(self, *argv): + """ + Retrieves the valve curve for a specified pressure control valve (GPV). + + Returns: + int: 1 if the link is a GPV, 0 if it is not. + + Example for one Valve: + inpfile = "Net1.inp" + d = epanet(inpfile) + + linkid = d.getLinkPipeNameID(1) + condition = 1 + index = d.setLinkTypeValveGPV(linkid, condition) + d.setLinkValveCurveGPV(index,1) + x = d.getLinkValveCurveGPV(index) + print(x) + + Example for all Valves: + inpfile = "Net1.inp" + d = epanet(inpfile) - return self.__getLinkInfo(self.ToolkitConstants.EN_GPV_CURVE, *argv) + linkid = d.getLinkPipeNameID(1) + condition = 1 + index = d.setLinkTypeValveGPV(linkid, condition) + d.setLinkValveCurveGPV(index,1) + x = d.getLinkValveCurveGPV() + print(x) + """ + values = self.__getLinkInfo(self.ToolkitConstants.EN_GPV_CURVE, *argv) + return values def getLinkValveCurvePCV(self, *argv): + """ + Retrieves the valve curve for a specified pressure control valve (PCV). - return self.__getLinkInfo(self.ToolkitConstants.EN_PCV_CURVE, *argv) + Returns: + int: 1 if the link is a PCV, 0 if it is not. + + Example for one Valve: + inpfile = "Net1.inp" + d = epanet(inpfile) + + linkid = d.getLinkPipeNameID(1) + condition = 1 + index = d.setLinkTypeValvePCV(linkid, condition) + d.setLinkValveCurvePCV(index,1) + x = d.getLinkValveCurvePCV(index) + print(x) + + Example for all Valves: + inpfile = "Net1.inp" + d = epanet(inpfile) + + linkid = d.getLinkPipeNameID(1) + condition = 1 + index = d.setLinkTypeValvePCV(linkid, condition) + d.setLinkValveCurvePCV(index,1) + x = d.getLinkValveCurvePCV() + print(x) + """ + + values = self.__getLinkInfo(self.ToolkitConstants.EN_PCV_CURVE, *argv) + + return values def setLinkValveCurveGPV(self, index, value): + """ + Sets the valve curve for a specified pressure control valve (GPV). + + Parameters: + index (int): The index of the GPV to be set. (starting from 1) + value (float): The value to set for the valve curve. (1 for valve to be GPV 0 for not) + Example: + inpfile = "Net1.inp" + d = epanet(inpfile) + + linkid = d.getLinkPipeNameID(1) + condition = 1 + index = d.setLinkTypeValveGPV(linkid, condition)""" self.api.ENsetlinkvalue(index, self.ToolkitConstants.EN_GPV_CURVE, value) def setLinkValveCurvePCV(self, index, value): + """ + Sets the valve curve for a specified pressure control valve (PCV). + + Parameters: + index (int): The index of the PCV to be set. (starting from 1) + value (float): The value to set for the valve curve. (1 for valve to be GPV 0 for not) + Example: + inpfile = "Net1.inp" + d = epanet(inpfile) + + linkid = d.getLinkPipeNameID(1) + condition = 1 + index = d.setLinkTypeValvePCV(linkid, condition) + """ return self.api.ENsetlinkvalue(index, self.ToolkitConstants.EN_PCV_CURVE, value) def getOptionsDemandPattern(self): From 975984627e99cf0893bb153fa499c60e758c8115 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Fri, 4 Oct 2024 23:21:23 +0300 Subject: [PATCH 116/183] comments getTimeofNextEvent --- epyt/epanet.py | 16 +++++++++++++++- 1 file changed, 15 insertions(+), 1 deletion(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index f9c85cb..2443b6a 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -14552,8 +14552,22 @@ def dfs(node): return False def getTimetoNextEvent(self): + """ + Determines the type of event that will cause the end of the current time step, + along with the duration until the event occurs and its index. + + Returns: + x (str): The type of the next event (e.g., REPORT, HYD, WQ, TANK, CONTROL). + y (float): The duration of time until the next event occurs. + z (int): The index of the event. + + Event Types: + 0: REPORT - A report generation event. + 1: HYD - A hydraulic event. + 2: WQ - A water quality event. + 3: TANK - A tank level event. + 4: CONTROL - A control rule event. """ x, y, z = self.api.ENtimetonextevent() - "y = duration , z = index , x = type" if x == 0: x = "REPORT" if x == 1: From 565d3b6a85ae56a3d99ab5ab83fac4a2e1cb5e9f Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Fri, 4 Oct 2024 23:31:07 +0300 Subject: [PATCH 117/183] comments for statistics functions --- epyt/epanet.py | 28 ++++++++++++++++++++++++++++ 1 file changed, 28 insertions(+) diff --git a/epyt/epanet.py b/epyt/epanet.py index 2443b6a..1cf1f84 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -6306,23 +6306,51 @@ def getStatistic(self): return value def getStatisticTotalLeakageLoss(self): + """ + Retrieves the total leakage loss statistic from the simulation. + + Returns: + float: The total amount of leakage loss in the system, + """ return self.api.ENgetstatistic(self.ToolkitConstants.EN_LEAKAGELOSS) def getStatisticIterations(self): + """ + Retrieves the number of iterations taken in the simulation. + Returns: + int: The total number of iterations performed during the hydraulic analysis, + + """ return self.api.ENgetstatistic(self.ToolkitConstants.EN_ITERATIONS) def getStatisticRelativeError(self): + """ + Retrieves the relative error statistic from the simulation. + Returns: + float: The relative error from the last hydraulic iteration + """ return self.api.ENgetstatistic(self.ToolkitConstants.EN_RELATIVEERROR) def getStatisticDeficientNodes(self): + """ + Retrieves the number of deficient nodes in the simulation. + + Returns: + int: The number of nodes in the system that are unable to meet the required demand, + """ return self.api.ENgetstatistic(self.ToolkitConstants.EN_DEFICIENTNODES) def getStatisticDemandReduction(self): + """ + Retrieves the demand reduction statistic from the simulation. + Returns: + float: The total demand reduction in the system + """ return self.api.ENgetstatistic(self.ToolkitConstants.EN_DEMANDREDUCTION) def getTimeSimulationDuration(self): From b312400893f52bf3797ec237c5f4391aee7c7db9 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Fri, 4 Oct 2024 23:36:19 +0300 Subject: [PATCH 118/183] comments --- epyt/epanet.py | 31 ++++++++++++++++++++++++++++++- 1 file changed, 30 insertions(+), 1 deletion(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 1cf1f84..e77fbe3 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -14546,19 +14546,48 @@ def setLinkExpansionProperties(self, index, value): self.api.ENsetlinkvalue(index,self.ToolkitConstants.EN_LEAK_EXPAN, value) def getLinkLeakageRate(self, *argv): + """ + Retrieves the leakage rate of a specific pipe (link) at a given point in time. + Returns: + float: The leakage rate of the specified pipe at the requested time point + """ return self.__getLinkInfo(self.ToolkitConstants.EN_LINK_LEAKAGE, *argv) def getConsumerDemandRequested(self, index): - + """ + Retrieves the requested consumer demand for a specific node. + + Args: + index (int): The index of the node for which the consumer demand is to be retrieved. + + Returns: + float: The full demand requested by the consumer at the specified node + """ return self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_FULLDEMAND) def getConsumerDemandDelivered(self, index): + """ + Retrieves the delivered consumer demand for a specific node. + + Args: + index (int): The index of the node for which the delivered consumer demand is to be retrieved. + Returns: + float: The amount of demand delivered to the consumer at the specified node + """ return self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_DEMANDFLOW) def getNodeLeakageFlow(self, index): + """ + Retrieves the leakage flow for a specific node. + + Args: + index (int): The index of the node for which the leakage flow is to be retrieved. + Returns: + float: The amount of leakage flow at the specified node + """ return self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_LEAKAGEFLOW) From f351184e24701c1aabde29152020054c4a3dd955 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Sun, 6 Oct 2024 20:46:48 +0300 Subject: [PATCH 119/183] updated readme and comments --- README.md | 83 ++++++++++++++++++++++++++++++++++++++++++++++++++ epyt/epanet.py | 11 +++---- 2 files changed, 88 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index 8b33c13..7ab7c62 100644 --- a/README.md +++ b/README.md @@ -188,6 +188,7 @@ If you want to contribute, please check out our [Code of Conduct](https://github | getComputedTimeSeries |Run analysis with binary fil | getConnectivityMatrix |Retrieve the Connectivity Matrix of the networ | getControlRulesCount |Retrieves the number of controls +| getControlCount |Retrieves the number of controls => will replace getControlRulesCount | getControls |Retrieves the parameters of all control statements | getCounts |Retrieves the number of network components | getCurveComment |Retrieves the comment string of a curve @@ -543,6 +544,8 @@ If you want to contribute, please check out our [Code of Conduct](https://github | stepMSXQualityAnalysisTimeLeft |Advances the water quality solution through a single water quality time step when performing a step-wise simulation| | saveMSXFile |Saves the data associated with the current MSX project into a new MSX input file| | saveMSXQualityFile |Saves water quality results computed for each node, link and reporting time period to a named binary file| +| plotMSXSpeciesLinkConcentration |Plots concentration of species for links over time. +| plotMSXSpeciesNodeConcentration |Plots concentration of species for nodes over time. | getMSXSourcePatternIndex |Retrieves the value of all node source pattern index| | getMSXLinkInitqualValue |Retrieves the initial concentration of chemical species assigned to links of the pipe network| | getMSXNodeInitqualValue |Retrieves the initial concentration of chemical species assigned to nodes| @@ -582,6 +585,10 @@ If you want to contribute, please check out our [Code of Conduct](https://github | getMSXCoupling |Retrieves the coupling (FULL/NONE)| | getMSXAtol |Retrieves the absolute concentration tolerance| | getMSXRtol |Retrieves the relative concentration tolerance| +| getMSXComputedQualityLink |Returns the computed quality for links.| +| getMSXConstantsValue |Retrieves the constant's value.| +| getMSXSolver |Retrieves the solver method.| +| getMSXSources |Retrieves Msx sources| | getMSXComputedQualitySpecie |Retrieves the quality values for specific specie (e.g getMSXComputedQualitySpecie(['CL2']))| | getMSXEquationsPipes |Retrieves the species dynamics in pipes| | getMSXEquationsTanks |Retrieves the species dynamics in tanks| @@ -606,6 +613,7 @@ If you want to contribute, please check out our [Code of Conduct](https://github | setMSXTimeStep |Sets time step| | setMSXPatternValue |Assigns a new value to the multiplier for a specific time period in a given MSX source time pattern| | setMSXPattern |Sets all of the multiplier factors for a specific time pattern| +| setMSXPatternMatrix |Sets the multiplier factors for all patterns| | setMSXParametersPipesValue |Assigns a value to a particular reaction parameter for given pipes| | setMSXParametersTanksValue |Assigns a value to a particular reaction parameter for given tanks| | setMSXConstantsValue |Assigns a new value to a specific reaction constant| @@ -749,4 +757,79 @@ If you want to contribute, please check out our [Code of Conduct](https://github |ENusehydfile|Uses a previously saved binary hydraulics file to supply a project's hydraulics |ENwriteline|Writes a line of text to a project's report file + +## List of EPANET 2.3 Functions + +|Function|Description| +|---------|----------| +|ENgetcontrolenabled|Retrieves the enabled state of a specified control in the EPANET model using the API. +|getControlState|Retrieves the enabled state of a specified control in the EPANET model +|ENgetlinkvalues|retrieves property values for all links| +|ENgetruleenabled|etrieves the enabled state of a specific rule in the EPANET model using API. +|getRuleEnabled|Retrieves the enabled state of a specific rule in the EPANET model. +|ENloadpatternfile| +|loadPatternFile| +|ENopenX| +|openX| +|ENsetcontrolenabled|Sets the control state to either enable or disable in the EPANET model usin API. +|setControlEnabled|Sets the control state to either enable or disable in the EPANET model. +|ENsetcurvetype|Sets the type of a specified curve in the EPANET model using API. +|setCurveType|Sets the type of a specified curve in the EPANET model. +|setCurveTypePump|Sets the type of a curve to Pump in the EPANET model. +|setCurveTypeEfficiency|Sets the type of curve to Efficiency in the EPANET model. +|setCurveTypeHeadloss|Sets the type of a curve to Headloss in the EPANET model. +|setCurveTypeGeneral|Sets the type of a curve to general in the EPANET model. +|setCurveTypeValveCurve|Sets the type of a curve to Valve in the EPANET model. +|setCurveTypeVolume|Sets the type of a curve to Volume in the EPANET model. +|ENsetruleenabled|Enables a specific rule in the EPANET model using API. +|setRuleEnabled|Enables a specific rule in the EPANET model. +|ENtimetonextevent|Determines the type of event that will cause the end of the current time step, + along with the duration until the event occurs and its index using API +|getTimetoNextEvent|Determines the type of event that will cause the end of the current time step, + along with the duration until the event occurs and its index. +|getLinkInControl|Function to determine wether a link apperas in any simple or rule based control +|getNodeInControl|Function to determine wether a node apperas in any simple or rule based control +|getPatternAverageDefaultValue|Retrieves the average value of the default pattern +|getStatisticDeficientNodes|Retrieves the number of deficient nodes in the simulation. +|getStatisticDemandReduction|Retrieves the demand reduction statistic from the simulation. +|getStatisticIterations|Retrieves the number of iterations taken in the simulation. +|getStatisticRelativeError|Retrieves the relative error statistic from the simulation. +|getStatisticTotalLeakageLoss|Retrieves the total leakage loss statistic from the simulation. +|getTimeStartClockStartTime|Retrieves the simulation starting time of day. +|getLinkExpansionProperties|Retrieves the expansion properties for a specified link (pipe). +|getLinkLeakArea|Function to retrieve the leak area for a specified link (pipe). +|getLinkLeakageRate|Retrieves the leakage rate of a specific pipe (link) at a given point in time. +|getLinkValues|Retrieves property values for all links within the EPANET model during a hydraulic analysis. +|getLinkValveCurveGPV|Retrieves the valve curve for a specified general purpose valve (GPV). +|getLinkValveCurvePCV|Retrieves the valve curve for a specified pressure control valve (PCV). +|getNodeEmitterFlow|Retrieves node emmiter flow +|getNodeLeakageFlow|Retrieves the leakage flow for a specific node. +|getConsumerDemandDelivered|Retrieves the delivered consumer demand for a specific node. +|getConsumerDemandRequested|Retrieves the requested consumer demand for a specific node. +|getOptionsDemandPattern|Retrieves the default Demand pattern. +|getOptionsEmitterBackFlow|Retrieves the current setting for allowing reverse flow through emitters. +|getOptionsPressureUnits|get the pressure unit used in Epanet +|getOptionsStatusReport|get the type of the status report(full/no/normal) +|setOptionsStatusReport|Sets the status report for epanet +|setOptionsStatusReportNo|set the status report option to no Report +|setOptionsStatusReportNormal|set the status report option to normal report +|setOptionsStatusReportFull|set the status report option to full report +|setOptionsPressureUnitsMeters|Set pressure units to Meters and check if the change is possible. +|setOptionsPressureUnitsPSI|Set pressure units to PSI and check if the change is possible. +|setOptionsPressureUnitsKPA|Set pressure units to KPA and check if the change is possible. +|setOptionsEmitterBackFlowAllowed|Sets the option to allow reverse flow through emitters. +|setOptionsEmitterBackFlowDisallowed|Sets the option prevent reverse flow through emitters. +|setOptionsDemandPattern|Retrieves the default Demand pattern. +|setOptionsPressureUnits|Sets the pressure unit used in Epanet +|setTimeClockStartTime|Sets the start time for simulation +|setLinkTypeValvePCV|Sets the link type valve PCV(Position control valve) for a specified link. +|setLinkValveCurveGPV| Sets the valve curve for a specified general purpose valve (GPV). +|setLinkValveCurvePCV| Sets the valve curve for a specified pressure control valve (PCV). +|setLinkExpansionProperties|Sets the expansion properties for a specified link (pipe). +|setLinkLeakArea|Sets the leak area for a specified link (pipe). +|setFlowUnitsCMS|Sets flow units to CMS(Cubic Meters per Second). +|ENsetvertex|Sets the coordinates of a vertex point in a link within the EPANET model using API. +|setVertex|Sets the coordinates of a vertex point in a link within the EPANET model. +|addLinkValvePCV|Adds a new PCV valve and returns the index of the new PCV valve. + ↑ [Back to top](#table-of-contents) diff --git a/epyt/epanet.py b/epyt/epanet.py index e77fbe3..edd10ff 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -12676,6 +12676,7 @@ def getMSXEquationsTanks(self): return z def getMSXSources(self): + "Retrieves Msx sources" value = [] for i in range(1, self.getNodeCount() + 1): value_row = [] @@ -13801,7 +13802,7 @@ def writeMSXFile(self, msx): f.write('LINKS ALL\n') def setMSXPatternMatrix(self, pattern_matrix): - """Sets all of the multiplier factors for all patterns + """Sets the multiplier factors for all patterns. Example: inpname = os.path.join(os.getcwd(), 'epyt', 'networks','msx-examples', 'net2-cl2.inp') @@ -14162,7 +14163,7 @@ def getControlState(self, index = None): def setControlEnabled(self, index, enabled): """ Purpose: - Enables a control in the EPANET model. + Sets the control state to either enable or disable in the EPANET model. Parameters: index (int): The index of the control to be modified, starting from 1. @@ -14431,8 +14432,6 @@ def setOptionsEmitterBackFlowAllowed(self): """ Sets the option to allow reverse flow through emitters. - - Example: inpfile = "Richmond_standard.inp" d = epanet(inpfile) @@ -14506,7 +14505,7 @@ def getLinkExpansionProperties(self, *argv): def setLinkLeakArea(self, index, value): """ - Function to set the leak arean for a specified link (pipe). + Function to set the leak area for a specified link (pipe). input: index(int) : The index of the link(pipe) for which to set the leak area (starting from 1) @@ -14714,7 +14713,7 @@ def getNodeInControl(self, *args): inpfile = "Net1.inp" d = epanet(inpfile) - x = d.getLinkInControl() + x = d.getNodeInControl() print(x) Example 3 Retrieving more than one Node: From 2c46f6c0421df3d05fd2207d8af70f6668653691 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Mon, 7 Oct 2024 19:17:27 +0300 Subject: [PATCH 120/183] updated readme + comments + private functions --- README.md | 1407 +++++++++++++++++++++++++----------------------- epyt/epanet.py | 107 ++-- 2 files changed, 777 insertions(+), 737 deletions(-) diff --git a/README.md b/README.md index 7ab7c62..d0e8667 100644 --- a/README.md +++ b/README.md @@ -145,691 +145,726 @@ If you want to contribute, please check out our [Code of Conduct](https://github ## List of Python Class Functions | Function |Description| -|-----------------------------------|----------| -| addControls |Adds a new simple control| -| addCurve |Adds a new curve appended to the end of the existing curves| -| addLinkPipe |Adds a new pipe| -| addLinkPipeCV |Adds a new control valve pipe| -| addLinkPump |Adds a new pump| -| addLinkValveFCV |Adds a new FCV valve| -| addLinkValveGPV |Adds a new GPV valve| -| addLinkValvePBV |Adds a new PBV valve| -| addLinkValvePRV |Adds a new PRV valve| -| addLinkValvePSV |Adds a new PSV valve| -| addLinkValveTCV |Adds a new TCV valve| -| addNodeJunction |Adds a new junction| -| addNodeJunctionDemand |Adds a new demand to a junction given the junction index, base demand, demand time pattern and demand category name| -| addNodeReservoir |Adds a new reservoir| -| addNodeTank |Adds a new tank| -| addPattern |Adds a new time pattern to the network| -| addRules |Adds a new rule-based control to a project| -| appRotateNetwork |Rotates the network by theta degrees counter-clockwise| -| appShiftNetwork |Shifts the network| -| clearReport |Clears the contents of a project's report file| -| closeHydraulicAnalysis |Closes the hydraulic analysis system, freeing all allocated memory| -| closeNetwork |Closes down the Toolkit system| -| closeQualityAnalysis |Closes the water quality analysis system, freeing all allocated memory| -| copyReport |Copies the current contents of a project's report file to another file| -| createProject |Creates a new epanet projec| -| deleteAllTemps |Delete all temporary files (.inp, .bin) created in networks folder| -| deleteControls |Deletes an existing simple control| -| deleteCurve |Deletes a data curve from a project| -| deleteLink |Deletes a link| -| deleteNode |Deletes nodes| -| deletePattern |Deletes a time pattern from a project| -| deletePatternsAll |Deletes all time patterns from a project| -| deleteProject |Deletes the epanet project| -| deleteRules |Deletes an existing rule-based control given it's index -| getAdjacencyMatrix |Compute the adjacency matrix (connectivity graph) considering the flows, using mean flow| -| getAllAttributes |Get all attributes of a given Python object| -| getCMDCODE |Retrieves the CMC code| -| getComputedHydraulicTimeSeries |Computes hydraulic simulation and retrieves all time-series -| getComputedQualityTimeSeries |Computes Quality simulation and retrieves all or some time-series -| getComputedTimeSeries |Run analysis with binary fil -| getConnectivityMatrix |Retrieve the Connectivity Matrix of the networ -| getControlRulesCount |Retrieves the number of controls -| getControlCount |Retrieves the number of controls => will replace getControlRulesCount -| getControls |Retrieves the parameters of all control statements -| getCounts |Retrieves the number of network components -| getCurveComment |Retrieves the comment string of a curve -| getCurveCount |Retrieves the number of curves -| getCurveIndex |Retrieves the index of a curve with specific ID -| getCurveLengths |Retrieves number of points in a curve -| getCurveNameID |Retrieves the IDs of curves -| getCurveType |Retrieves the curve-type for all curves -| getCurveTypeIndex |Retrieves the curve-type index for all curves -| getCurveValue |Retrieves the X, Y values of points of curves -| getCurvesInfo |Retrieves all the info of curves -| getDemandModel |Retrieves the type of demand model in use and its parameters -| getENfunctionsImpemented |Retrieves the epanet functions that have been developed -| getError |Retrieves the text of the message associated with a particular error or warning code -| getFlowUnits |Retrieves flow units used to express all flow rates -| getLibFunctions |Retrieves the functions of DLL -| getLinkActualQuality |Retrieves the current computed link quality (read only) -| getLinkBulkReactionCoeff |Retrieves the value of all link bulk chemical reaction coefficient -| getLinkComment |Retrieves the comment string assigned to the link object -| getLinkCount |Retrieves the number of links -| getLinkDiameter |Retrieves the value of link diameters -| getLinkEnergy |Retrieves the current computed pump energy usage (read only) -| getLinkFlows |Retrieves the current computed flow rate (read only) -| getLinkHeadloss |Retrieves the current computed head loss (read only) -| getLinkIndex |Retrieves the indices of all links, or the indices of an ID set of links -| getLinkInitialSetting |Retrieves the value of all link roughness for pipes or initial speed for pumps or initial setting for valves -| getLinkInitialStatus |Retrieves the value of all link initial status -| getLinkLength |Retrieves the value of link lengths -| getLinkMinorLossCoeff |Retrieves the value of link minor loss coefficients -| getLinkNameID |Retrieves the ID label(s) of all links, or the IDs of an index set of links -| getLinkNodesIndex |Retrieves the indexes of the from/to nodes of all links -| getLinkPipeCount |Retrieves the number of pipes -| getLinkPipeIndex |Retrieves the pipe indices -| getLinkPipeNameID |Retrieves the pipe ID -| getLinkPumpCount |Retrieves the number of pumps -| getLinkPumpECost |Retrieves the pump average energy price -| getLinkPumpECurve |Retrieves the pump efficiency v -| getLinkPumpEPat |Retrieves the pump energy price time pattern index -| getLinkPumpEfficiency |Retrieves the current computed pump efficiency (read only) -| getLinkPumpHCurve |Retrieves the pump head v -| getLinkPumpHeadCurveIndex |Retrieves the index of a head curve for all pumps -| getLinkPumpIndex |Retrieves the pump indices -| getLinkPumpNameID |Retrieves the pump ID -| getLinkPumpPatternIndex |Retrieves the pump speed time pattern index -| getLinkPumpPatternNameID |Retrieves pump pattern name ID -| getLinkPumpPower |Retrieves the pump constant power rating (read only) -| getLinkPumpState |Retrieves the current computed pump state (read only) (see @ref EN_PumpStateType) -| getLinkPumpSwitches |Retrieves the number of pump switches -| getLinkPumpType |Retrieves the type of a pump -| getLinkPumpTypeCode |Retrieves the code of type of a pump -| getLinkQuality |Retrieves the value of link quality -| getLinkResultIndex |Retrieves the order in which a link's results were saved to an output file -| getLinkRoughnessCoeff |Retrieves the value of link roughness coefficient -| getLinkSettings |Retrieves the current computed value of all link roughness for pipes or actual speed for pumps or actual setting for valves -| getLinkStatus |Retrieves the current link status (see @ref EN_LinkStatusType) (0 = closed, 1 = open) -| getLinkType |Retrieves the link-type code for all links -| getLinkTypeIndex |Retrieves the link-type code for all links -| getLinkValveCount |Retrieves the number of valves -| getLinkValveIndex |Retrieves the valve indices -| getLinkValveNameID |Retrieves the valve ID -| getLinkVelocity |Retrieves the current computed flow velocity (read only) -| getLinkVertices |Retrieves the coordinate's of a vertex point assigned to a link -| getLinkVerticesCount |Retrieves the number of internal vertex points assigned to a link -| getLinkWallReactionCoeff |Retrieves the value of all pipe wall chemical reaction coefficient -| getLinksInfo |Retrieves all link info -| getNetworksDatabase |Retrieves all EPANET Input Files from EPyT database -| getNodeActualDemand |Retrieves the computed value of all node actual demands -| getNodeActualDemandSensingNodes |Retrieves the computed demand values at some sensing nodes -| getNodeActualQuality |Retrieves the computed values of the actual quality for all nodes -| getNodeActualQualitySensingNodes |Retrieves the computed quality values at some sensing node -| getNodeBaseDemands |Retrieves the value of all node base demands -| getNodeComment |Retrieves the comment string assigned to the node object -| getNodeCoordinates -| getNodeCount |Retrieves the number of nodes -| getNodeDemandCategoriesNumber |Retrieves the value of all node base demands categorie number -| getNodeDemandDeficit |Retrieves the amount that full demand is reduced under PDA -| getNodeDemandPatternIndex |Retrieves the value of all node base demands pattern index -| getNodeDemandPatternNameID |Retrieves the value of all node base demands pattern name ID -| getNodeElevations |Retrieves the value of all node elevations -| getNodeEmitterCoeff |Retrieves the value of all node emmitter coefficients -| getNodeHydraulicHead |Retrieves the computed values of all node hydraulic heads -| getNodeIndex |Retrieves the indices of all nodes or some nodes with a specified ID -| getNodeInitialQuality |Retrieves the value of all node initial quality -| getNodeJunctionCount |Retrieves the number of junction nodes -| getNodeJunctionDemandIndex |Retrieves the demand index of the junctions -| getNodeJunctionDemandName |Gets the name of a node's demand category -| getNodeJunctionIndex |Retrieves the indices of junctions -| getNodeJunctionNameID |Retrieves the junction ID label -| getNodeMassFlowRate |Retrieves the computed mass flow rates per minute of chemical sources for all nodes -| getNodeNameID |Retrieves the ID label of all nodes or some nodes with a specified index -| getNodePatternIndex |Retrieves the value of all node demand pattern indices -| getNodePressure |Retrieves the computed values of all node pressures -| getNodeReservoirCount |Retrieves the number of Reservoirs -| getNodeReservoirIndex |Retrieves the indices of reservoirs -| getNodeReservoirNameID |Retrieves the reservoir ID label -| getNodeResultIndex |Retrieves the order in which a node's results were saved to an output file -| getNodeSourcePatternIndex |Retrieves the value of all node source pattern index -| getNodeSourceQuality |Retrieves the value of all node source quality -| getNodeSourceType |Retrieves the value of all node source type -| getNodeSourceTypeIndex |Retrieves the value of all node source type index -| getNodeTankBulkReactionCoeff |Retrieves the tank bulk rate coefficient -| getNodeTankCanOverFlow |Retrieves the tank can overflow (= 1) or not (= 0) -| getNodeTankCount |Retrieves the number of Tanks -| getNodeTankData |Retrieves a group of properties for a tank -| getNodeTankDiameter |Retrieves the tank diameters -| getNodeTankIndex |Retrieves the tank indices -| getNodeTankInitialLevel |Retrieves the value of all tank initial water levels -| getNodeTankInitialWaterVolume |Retrieves the tank initial water volume -| getNodeTankMaximumWaterLevel |Retrieves the tank maximum water level -| getNodeTankMaximumWaterVolume |Retrieves the tank maximum water volume -| getNodeTankMinimumWaterLevel |Retrieves the tank minimum water level -| getNodeTankMinimumWaterVolume |Retrieves the tank minimum water volume -| getNodeTankMixZoneVolume |Retrieves the tank mixing zone volume -| getNodeTankMixingFraction |Retrieves the tank Fraction of total volume occupied by the inlet/outlet zone in a 2-compartment tank -| getNodeTankMixingModelCode |Retrieves the tank mixing model code -| getNodeTankMixingModelType |Retrieves the tank mixing model type -| getNodeTankNameID |Retrieves the tank IDs -| getNodeTankReservoirCount |Retrieves the number of tanks -| getNodeTankVolume |Retrieves the tank volume -| getNodeTankVolumeCurveIndex |Retrieves the tank volume curve index -| getNodeType |Retrieves the node-type code for all nodes -| getNodeTypeIndex |Retrieves the node-type code for all nodes -| getNodesConnectingLinksID |Retrieves the id of the from/to nodes of all links -| getNodesConnectingLinksIndex |Retrieves the indexes of the from/to nodes of all links -| getNodesInfo |Retrieves nodes info (elevations, demand patterns, emmitter coeff, initial quality, source quality, source pattern index, source type index, node type index) -| getOptionsAccuracyValue |Retrieves the total normalized flow change for hydraulic convergence -| getOptionsCheckFrequency |Retrieves the frequency of hydraulic status checks -| getOptionsDampLimit |Retrieves the accuracy level where solution damping begins -| getOptionsDemandCharge |Retrieves the energy charge per maximum KW usage -| getOptionsEmitterExponent |Retrieves the power exponent for the emmitters -| getOptionsExtraTrials |Retrieves the extra trials allowed if hydraulics don't converge -| getOptionsFlowChange |Retrieves the maximum flow change for hydraulic convergence -| getOptionsGlobalEffic |Retrieves the global efficiency for pumps(percent) -| getOptionsGlobalPattern |Retrieves the index of the global energy price pattern -| getOptionsGlobalPrice |Retrieves the global average energy price per kW-Hour -| getOptionsHeadError |Retrieves the maximum head loss error for hydraulic convergence -| getOptionsHeadLossFormula |Retrieves the headloss formula -| getOptionsLimitingConcentration |Retrieves the limiting concentration for growth reactions -| getOptionsMaxTrials |Retrieves the maximum hydraulic trials allowed for hydraulic convergence -| getOptionsMaximumCheck |Retrieves the maximum trials for status checking -| getOptionsPatternDemandMultiplier |Retrieves the global pattern demand multiplier -| getOptionsPipeBulkReactionOrder |Retrieves the bulk water reaction order for pipes -| getOptionsPipeWallReactionOrder |Retrieves the wall reaction order for pipes (either 0 or 1) -| getOptionsQualityTolerance |Retrieves the water quality analysis tolerance -| getOptionsSpecificDiffusivity |Retrieves the specific diffusivity (relative to chlorine at 20 deg C) -| getOptionsSpecificGravity |Retrieves the specific gravity -| getOptionsSpecificViscosity |Retrieves the specific viscosity -| getOptionsTankBulkReactionOrder |Retrieves the bulk water reaction order for tanks -| getPattern |Retrieves the multiplier factor for all patterns and all times -| getPatternAverageValue |Retrieves the average values of all the time patterns -| getPatternComment |Retrieves the comment string assigned to the pattern object -| getPatternCount |Retrieves the number of patterns -| getPatternIndex |Retrieves the index of all or some time patterns given their IDs -| getPatternLengths |Retrieves the number of time periods in all or some time patterns -| getPatternNameID |Retrieves the ID label of all or some time patterns indices -| getPatternValue |Retrieves the multiplier factor for a certain pattern and time -| getQualityCode |Retrieves the code of water quality analysis type -| getQualityInfo |Retrieves quality analysis information (type, chemical name, units, trace node ID) -| getQualityTraceNodeIndex |Retrieves the trace node index of water quality analysis type -| getQualityType |Retrieves the type of water quality analysis type -| getRuleCount |Retrieves the number of rules -| getRuleID |Retrieves the ID name of a rule-based control given its index -| getRuleInfo |Retrieves summary information about a rule-based control given it's index -| getRules |Retrieves the rule - based control statements -| getStatistic |Returns error code -| getTimeHTime |Retrieves the elapsed time of current hydraulic solution -| getTimeHaltFlag |Retrieves the number of halt flag indicating if the simulation was halted -| getTimeHydraulicStep |Retrieves the value of the hydraulic time step -| getTimeNextEvent |Retrieves the shortest time until a tank becomes empty or full -| getTimeNextEventTank |Retrieves the index of tank with shortest time to become empty or full -| getTimePatternStart |Retrieves the value of pattern start time -| getTimePatternStep |Retrieves the value of the pattern time step -| getTimeQTime |Retrieves the elapsed time of current quality solution -| getTimeQualityStep |Retrieves the value of the water quality time step -| getTimeReportingPeriods |Retrieves the number of reporting periods saved to the binary -| getTimeReportingStart |Retrieves the value of the reporting start time -| getTimeReportingStep |Retrieves the value of the reporting time step -| getTimeRuleControlStep |Retrieves the time step for evaluating rule-based controls -| getTimeSimulationDuration |Retrieves the value of simulation duration -| getTimeStartTime |Retrieves the simulation starting time of day -| getTimeStatisticsIndex |Retrieves the index of the type of time series post-processing -| getTimeStatisticsType |Retrieves the type of time series post-processing -| getTitle |Retrieves the title lines of the project -| getUnits |Retrieves the Units of Measurement -| getVersion |Retrieves the current EPANET version of DLL -| initializeEPANET |Initializes an EPANET project that isn't opened with an input fil -| initializeHydraulicAnalysis |Initializes storage tank levels, link status and settings, and the simulation clock time prior to running a hydraulic analysis -| initializeQualityAnalysis |Initializes water quality and the simulation clock time prior to running a water quality analysis -| loadEPANETFile |Load epanet file when use bin functions -| loadMSXEPANETFile |Re-Load EPANET MSX file - parfor -| nextHydraulicAnalysisStep |Determines the length of time until the next hydraulic event occurs in an extended period simulation -| nextQualityAnalysisStep |Advances the water quality simulation to the start of the next hydraulic time period -| openAnyInp |Open as on matlab editor any EPANET input file using built function open -| openCurrentInp |Opens EPANET input file who is loade -| openHydraulicAnalysis |Opens the hydraulics analysis system -| openQualityAnalysis |Opens the water quality analysis system -| plot |Plot Network, show all components, plot pressure/flow/elevation| -| plot_close |Close all open figures| -| plot_save |Save plot| -| plot_show |Show plot| -| reloadNetwork |Reloads the Network (ENopen) -| runEPANETexe |Runs epanet .exe file| -| runHydraulicAnalysis |Runs a single period hydraulic analysis, retrieving the current simulation clock time t -| runQualityAnalysis |Makes available the hydraulic and water quality results that occur at the start of the next time period of a water quality analysis, where the start of the period is returned in t -| runsCompleteSimulation |Runs a complete hydraulic and water simulation to create binary & report files with name: [NETWORK_temp.txt], [NETWORK_temp.bin] OR you can use argument to runs a complete simulation via self.api.en_epane -| saveHydraulicFile |Saves the current contents of the binary hydraulics file to a file -| saveHydraulicsOutputReportingFile |Transfers results of a hydraulic simulation from the binary Hydraulics file to the binary Output file, where results are only reported at uniform reporting intervals -| saveInputFile |Writes all current network input data to a file using the format of an EPANET input file -| setCMDCODE |Sets the CMC code| -| setControls |Sets the parameters of a simple control statement -| setCurve |Sets x, y values for a specific curve -| setCurveComment |Sets the comment string of a curve -| setCurveNameID |Sets the name ID of a curve given it's index and the new ID -| setCurveValue |Sets x, y point for a specific point number and curve -| setDemandModel |Sets the type of demand model to use and its parameters -| setFlowUnitsAFD |Sets flow units to AFD(Acre-Feet per Day) -| setFlowUnitsCFS |Sets flow units to CFS(Cubic Feet per Second) -| setFlowUnitsCMD |Sets flow units to CMD(Cubic Meters per Day) -| setFlowUnitsCMH |Sets flow units to CMH(Cubic Meters per Hour) -| setFlowUnitsGPM |Sets flow units to GPM(Gallons Per Minute) -| setFlowUnitsIMGD |Sets flow units to IMGD(Imperial Million Gallons per Day) -| setFlowUnitsLPM |Sets flow units to LPM(Liters Per Minute) -| setFlowUnitsLPS |Sets flow units to LPS(Liters Per Second) -| setFlowUnitsMGD |Sets flow units to MGD(Million Gallons per Day) -| setFlowUnitsMLD |Sets flow units to MLD(Million Liters per Day) -| setLinkBulkReactionCoeff |Sets the value of bulk chemical reaction coefficient -| setLinkComment |Sets the comment string assigned to the link object -| setLinkDiameter |Sets the values of diameters -| setLinkInitialSetting |Sets the values of initial settings, roughness for pipes or initial speed for pumps or initial setting for valves -| setLinkInitialStatus |Sets the values of initial status -| setLinkLength |Sets the values of lengths -| setLinkMinorLossCoeff |Sets the values of minor loss coefficient -| setLinkNameID |Sets the ID name for links -| setLinkNodesIndex |Sets the indexes of a link's start- and end-nodes -| setLinkPipeData |Sets a group of properties for a pipe -| setLinkPumpECost |Sets the pump average energy price -| setLinkPumpECurve |Sets the pump efficiency v -| setLinkPumpEPat |Sets the pump energy price time pattern index -| setLinkPumpHCurve |Sets the pump head v -| setLinkPumpHeadCurveIndex |Sets the curves index for pumps index| -| setLinkPumpPatternIndex |Sets the pump speed time pattern index -| setLinkPumpPower |Sets the power for pumps -| setLinkRoughnessCoeff |Sets the values of roughness coefficient -| setLinkSettings |Sets the values of current settings, roughness for pipes or initial speed for pumps or initial setting for valves -| setLinkStatus |Sets the values of current status for links -| setLinkTypePipe |Sets the link type pipe for a specified link -| setLinkTypePipeCV |Sets the link type cvpipe(pipe with check valve) for a specified link -| setLinkTypePump |Sets the link type pump for a specified link -| setLinkTypeValveFCV |Sets the link type valve FCV(flow control valve) for a specified link -| setLinkTypeValveGPV |Sets the link type valve GPV(general purpose valve) for a specified link -| setLinkTypeValvePBV |Sets the link type valve PBV(pressure breaker valve) for a specified link -| setLinkTypeValvePRV |Sets the link type valve PRV(pressure reducing valve) for a specified link -| setLinkTypeValvePSV |Sets the link type valve PSV(pressure sustaining valve) for a specified link -| setLinkTypeValveTCV |Sets the link type valve TCV(throttle control valve) for a specified link -| setLinkVertices |Assigns a set of internal vertex points to a link -| setLinkWallReactionCoeff |Sets the value of wall chemical reaction coefficient -| setNodeBaseDemands |Sets the values of demand for nodes -| setNodeComment |Sets the comment string assigned to the node object -| setNodeCoordinates |Sets node coordinates -| setNodeDemandPatternIndex |Sets the values of demand time pattern indices -| setNodeElevations |Sets the values of elevation for nodes -| setNodeEmitterCoeff |Sets the values of emitter coefficient for nodes -| setNodeInitialQuality |Sets the values of initial quality for nodes -| setNodeJunctionData |Sets a group of properties for a junction node -| setNodeJunctionDemandName |Assigns a name to a node's demand category -| setNodeNameID |Sets the ID name for nodes -| setNodeSourcePatternIndex |Sets the values of quality source pattern index -| setNodeSourceQuality |Sets the values of quality source strength -| setNodeSourceType |Sets the values of quality source type -| setNodeTankBulkReactionCoeff |Sets the tank bulk reaction coefficient -| setNodeTankCanOverFlow |Sets the tank can-overflow (= 1) or not (= 0) -| setNodeTankData |Sets a group of properties for a tank -| setNodeTankDiameter |Sets the diameter value for tanks -| setNodeTankInitialLevel |Sets the values of initial level for tanks -| setNodeTankMaximumWaterLevel |Sets the maximum water level value for tanks -| setNodeTankMinimumWaterLevel |Sets the minimum water level value for tanks -| setNodeTankMinimumWaterVolume |Sets the minimum water volume value for tanks -| setNodeTankMixingFraction |Sets the tank mixing fraction of total volume occupied by the inlet/outlet zone in a 2-compartment tank -| setNodeTankMixingModelType |Sets the mixing model type value for tanks -| setNodeTypeJunction |Transforms a node to JUNCTION The new node keeps the id,coordinates and elevation of the deleted on -| setNodeTypeReservoir |Transforms a node to RESERVOIR The new node keeps the id,coordinates and elevation of the deleted on -| setNodeTypeTank |Transforms a node to TANK The new node keeps the id,coordinates and elevation of the deleted on -| setNodesConnectingLinksID |Sets the IDs of a link's start- and end-nodes -| setOptionsAccuracyValue |Sets the total normalized flow change for hydraulic convergence -| setOptionsCheckFrequency |Sets the frequency of hydraulic status checks -| setOptionsDampLimit |Sets the accuracy level where solution damping begins -| setOptionsDemandCharge |Sets the energy charge per maximum KW usage -| setOptionsEmitterExponent |Sets the power exponent for the emmitters -| setOptionsExtraTrials |Sets the extra trials allowed if hydraulics don't converge -| setOptionsFlowChange |Sets the maximum flow change for hydraulic convergence -| setOptionsGlobalEffic |Sets the global efficiency for pumps(percent) -| setOptionsGlobalPattern |Sets the global energy price pattern -| setOptionsGlobalPrice |Sets the global average energy price per kW-Hour -| setOptionsHeadError |Sets the maximum head loss error for hydraulic convergence -| setOptionsHeadLossFormula |Sets the headloss formula -| setOptionsLimitingConcentration |Sets the limiting concentration for growth reactions -| setOptionsMaxTrials |Sets the maximum hydraulic trials allowed for hydraulic convergence -| setOptionsMaximumCheck |Sets the maximum trials for status checking -| setOptionsPatternDemandMultiplier |Sets the global pattern demand multiplier -| setOptionsPipeBulkReactionOrder |Sets the bulk water reaction order for pipes -| setOptionsPipeWallReactionOrder |Sets the wall reaction order for pipes (either 0 or 1) -| setOptionsQualityTolerance |Sets the water quality analysis tolerance -| setOptionsSpecificDiffusivity |Sets the specific diffusivity (relative to chlorine at 20 deg C) -| setOptionsSpecificGravity |Sets the specific gravity -| setOptionsSpecificViscosity |Sets the specific viscosity -| setOptionsTankBulkReactionOrder |Sets the bulk water reaction order for tanks -| setPattern |Sets all of the multiplier factors for a specific time pattern -| setPatternComment |Sets the comment string assigned to the pattern object -| setPatternMatrix |Sets all of the multiplier factors for all time patterns -| setPatternNameID |Sets the name ID of a time pattern given it's index and the new ID -| setPatternValue |Sets the multiplier factor for a specific period within a time pattern -| setQualityType |Sets the type of water quality analysis called for -| setReport |Issues a report formatting command -| setReportFormatReset |Resets a project's report options to their default values -| setReportStatus |Sets the level of hydraulic status reporting -| setRuleElseAction |Sets rule - based control else actions -| setRulePremise |Sets the premise of a rule - based control -| setRulePremiseObejctNameID |Sets the ID of an object in a premise of a rule-based control -| setRulePremiseStatus |Sets the status being compared to in a premise of a rule-based control -| setRulePremiseValue |Sets the value being compared to in a premise of a rule-based control -| setRulePriority |Sets rule - based control priority -| setRuleThenAction |Sets rule - based control then actions -| setRules |Sets a rule - based control -| setTimeHydraulicStep |Sets the hydraulic time step -| setTimePatternStart |Sets the time when time patterns begin -| setTimePatternStep |Sets the time pattern step -| setTimeQualityStep |Sets the quality time step -| setTimeReportingStart |Sets the time when reporting starts -| setTimeReportingStep |Sets the reporting time step -| setTimeRuleControlStep |Sets the rule-based control evaluation time step -| setTimeSimulationDuration |Sets the simulation duration (in seconds) -| setTimeStatisticsType |Sets the statistic type -| setTitle |Sets the title lines of the project -| solveCompleteHydraulics |Runs a complete hydraulic simulation with results for all time periods written to the binary Hydraulics file -| solveCompleteQuality |Runs a complete water quality simulation with results at uniform reporting intervals written to EPANET's binary Output file -| splitPipe |Splits a pipe, creating two new pipes and adds a junction/node in between -| stepQualityAnalysisTimeLeft |Advances the water quality simulation one water quality time step -| unload |unload library and close the EPANET Toolkit system -| useHydraulicFile |Uses the contents of the specified file as the current binary hydraulics file -| writeLineInReportFile |Writes a line of text to the EPANET report file -| writeReport |Writes a formatted text report on simulation results to the Report file -| MSX Functions -| loadMSXFile |Opens the EPANET-MSX toolkit system| -| unloadMSX |Closes the EPANET-MSX toolkit system| -| addMSXPattern |Adds a new, empty MSX source time pattern to the project| -| writeMSXFile |Write a new MSX file| -| initializeMSXQualityAnalysis |Initializes the MSX system before solving for water quality results in step-wise fashion| -| getMethods |Returns all methods of epanet| -| getMSXComputedQualitySpecie |Retrieves the quality values for specific specie (e.g getMSXComputedQualitySpecie('CL2'))| -| getMSXComputedLinkQualitySpecie |Returns the link quality for specific specie| -| getMSXComputedNodeQualitySpecie |Returns the node quality for specific specie| -| getMSXComputedQualityNode |Retrieves the concentration of a chemical species at a specific node of the network at the current simulation time step.| -| stepMSXQualityAnalysisTimeLeft |Advances the water quality solution through a single water quality time step when performing a step-wise simulation| -| saveMSXFile |Saves the data associated with the current MSX project into a new MSX input file| -| saveMSXQualityFile |Saves water quality results computed for each node, link and reporting time period to a named binary file| -| plotMSXSpeciesLinkConcentration |Plots concentration of species for links over time. -| plotMSXSpeciesNodeConcentration |Plots concentration of species for nodes over time. -| getMSXSourcePatternIndex |Retrieves the value of all node source pattern index| -| getMSXLinkInitqualValue |Retrieves the initial concentration of chemical species assigned to links of the pipe network| -| getMSXNodeInitqualValue |Retrieves the initial concentration of chemical species assigned to nodes| -| getMSXSourceLevel |Retrieves the value of all nodes source level| -| getMSXSourceType |Retrieves the value of all node source type| -| getMSXSourceNodeNameID |Retrieves the ID label of all nodes| -| getMSXSpeciesCount |Retrieves the number of species| -| getMSXSpeciesNameID |Retrieves the species IDs| -| getMSXSpeciesIndex |Retrieves the indices of species| -| getMSXSpeciesType |Retrieves the type of all species (BULK/WALL)| -| getMSXSpeciesUnits |Retrieves the species mass units| -| getMSXSpeciesATOL |Retrieves the atol| -| getMSXSpeciesRTOL |Retrieves the rtol| -| getMSXSpeciesConcentration |Retrieves the concentration of chemical species for nodes and links| -| getMSXConstantsCount |Retrieves the number of constants| -| getMSXConstantsNameID |Retrieves the ID name of constants (given its internal index number)| -| getMSXConstantsIndex |Retrieves the internal index number of constants (given its ID name)| -| getMSXPattern |Retrieves the multiplier factor for all patterns and all times| -| getMSXPatternsCount |Retrieves the number of patterns| -| getMSXPatternValue |Retrieves the multiplier at a specific time period for a given source time pattern| -| getMSXPatternsNameID |Retrieves the patterns IDs| -| getMSXPatternsIndex |Retrieves the indices of patterns| -| getMSXPatternsLengths |Retrieves the number of time periods in all or some patterns| -| getMSXParametersCount |Retrieves the number of parameters| -| getMSXParametersNameID |Retrieves the ID name of parameters| -| getMSXParametersIndex |Retrieves the indices of parameters| -| getMSXParametersPipesValue |Retrieves the value of reaction parameters for pipes| -| getMSXParametersTanksValue |Retrieves the value of reaction parameters for tanks| -| solveMSXCompleteHydraulics |Solves for system hydraulics over the entire simulation period saving results to an internal scratch file| -| solveMSXCompleteQuality |Solves for water quality over the entire simulation period and saves the results to an internal scratch file| -| getMSXError |Returns the text for an error message given its error code| -| getMSXOptions |Retrieves all the msx option parameters| -| getMSXTimeStep |Retrieves the time step| -| getMSXRateUnits |Retrieves the rate/time units (SEC/MIN/HR/DAY)| -| getMSXAreaUnits |Retrieves the area units (FT2/M2/CM2)| -| getMSXCompiler |Retrieves the compiler (NONE/VC/GC)| -| getMSXCoupling |Retrieves the coupling (FULL/NONE)| -| getMSXAtol |Retrieves the absolute concentration tolerance| -| getMSXRtol |Retrieves the relative concentration tolerance| -| getMSXComputedQualityLink |Returns the computed quality for links.| -| getMSXConstantsValue |Retrieves the constant's value.| -| getMSXSolver |Retrieves the solver method.| -| getMSXSources |Retrieves Msx sources| -| getMSXComputedQualitySpecie |Retrieves the quality values for specific specie (e.g getMSXComputedQualitySpecie(['CL2']))| -| getMSXEquationsPipes |Retrieves the species dynamics in pipes| -| getMSXEquationsTanks |Retrieves the species dynamics in tanks| -| getMSXEquationsTerms |Retrieves the species dynamics in terms| -| setMSXAreaUnitsCM2 |Sets area units to CM2| -| setMSXAreaUnitsFT2 |Sets area units to FT2| -| setMSXAreaUnitsM2 |Sets area units to M2| -| setMSXAtol |Sets the value of Atol| -| setMSXRtol |Sets the value of Rtol| -| setMSXCompilerGC |Sets compilet to GC| -| setMSXCompilerNONE |Sets compiler to None| -| setMSXCompilerVC |Sets compiler to VC| -| setMSXCouplingFULL |Sets coupling option to FULL| -| setMSXCouplingNONE |Sets coupling option to NONE| -| setMSXRateUnitsDAY |Sets rate units to DAY| -| setMSXRateUnitsHR |Sets rate units to HR| -| setMSXRateUnitsMIN |Sets rate units to MIN| -| setMSXRateUnitsSEC |Sets rate units to SEC| -| setMSXSolverEUL |Sets solver to EUL (standard Euler integrator)| -| setMSXSolverRK5 |Sets solver to RK5 (Runge-Kutta 5th order integrator)| -| setMSXSolverROS2 |Sets solver to ROS2 (2nd order Rosenbrock integrator)| -| setMSXTimeStep |Sets time step| -| setMSXPatternValue |Assigns a new value to the multiplier for a specific time period in a given MSX source time pattern| -| setMSXPattern |Sets all of the multiplier factors for a specific time pattern| -| setMSXPatternMatrix |Sets the multiplier factors for all patterns| -| setMSXParametersPipesValue |Assigns a value to a particular reaction parameter for given pipes| -| setMSXParametersTanksValue |Assigns a value to a particular reaction parameter for given tanks| -| setMSXConstantsValue |Assigns a new value to a specific reaction constant| -| setMSXLinkInitqualValue |Assigns an initial concentration of chemical species to links| -| setMSXNodeInitqualValue |Assigns an initial concentration of chemical species to nodes| -| setMSXSources |Sets the attributes of an external source of a particular chemical species to a specific node of the pipe network| -| useMSXHydraulicFile |Uses a previously saved EPANET hydraulics file as the source of hydraulic information| - - -## List of EPANET 2.2 Functions - -|Function|Description| -|---------|----------| -|ENepanet|Runs a complete EPANET simulation -|ENaddcontrol|Adds a new simple control to a project -|ENaddcurve|Adds a new data curve to a project -|ENadddemand|Appends a new demand to a junction node demands list -|ENaddlink|Adds a new link to a project -|ENaddnode|Adds a new node to a project -|ENaddpattern|Adds a new time pattern to a project -|ENaddrule|Adds a new rule-based control to a project -|ENclearreport|Clears the contents of a project's report file -|ENclose|Closes a project and frees all of its memory -|ENcloseH|Closes the hydraulic solver freeing all of its allocated memory -|ENcloseQ|Closes the water quality solver, freeing all of its allocated memory -|ENcopyreport|Copies the current contents of a project's report file to another file -|ENcreateproject|Copies the current contents of a project's report file to another file -|ENdeletecontrol|Deletes an existing simple control -|ENdeletecurve|Deletes a data curve from a project -|ENdeletedemand|Deletes a demand from a junction node -|ENdeletelink|Deletes a link from the project -|ENdeletenode|Deletes a node from a project -|ENdeletepattern|Deletes a time pattern from a project -|ENdeleteproject|Deletes an EPANET project -|ENdeleterule|Deletes an existing rule-based control -|ENgetaveragepatternvalue|Retrieves the average of all pattern factors in a time pattern -|ENgetbasedemand|Gets the base demand for one of a node's demand categories -|ENgetcomment|Sets a comment to a specific index -|ENgetcontrol|Retrieves the comment of a specific index of a type object -|ENgetcoord|Gets the (x,y) coordinates of a node -|ENgetcount|Retrieves the number of objects of a given type in a project -|ENgetcurve|Retrieves all of a curve's data -|ENgetcurveid|Retrieves the ID name of a curve given its index -|ENgetcurveindex|Retrieves the index of a curve given its ID name -|ENgetcurvelen|Retrieves the number of points in a curve -|ENgetcurvetype|Retrieves a curve's type -|ENgetcurvevalue|Retrieves the value of a single data point for a curve -|ENgetdemandindex|Retrieves the index of a node's named demand category -|ENgetdemandmodel|Retrieves the type of demand model in use and its parameters -|ENgetdemandname|Retrieves the name of a node's demand category -|ENgetdemandpattern|Retrieves the index of a time pattern assigned to one of a node's demand categories -|ENgetelseaction|Gets the properties of an ELSE action in a rule-based control -|ENgeterror|Returns the text of an error message generated by an error code, as warning -|ENgetflowunits|Retrieves a project's flow units -|ENgetheadcurveindex|Retrieves the curve assigned to a pump's head curve -|ENgetlinkid|Gets the ID name of a link given its index -|ENgetlinkindex|Gets the index of a link given its ID name -|ENgetlinknodes|Gets the indexes of a link's start- and end-nodes -|ENgetlinktype|Retrieves a link's type -|ENgetlinkvalue|Retrieves a property value for a link -|ENgetnodeid|Gets the ID name of a node given its index -|ENgetnodeindex|Gets the index of a node given its ID name -|ENgetnodetype|Retrieves a node's type given its index -|ENgetnodevalue|Retrieves a property value for a node -|ENgetnumdemands|Retrieves the number of demand categories for a junction node -|ENgetoption|Retrieves the value of an analysis option -|ENgetpatternid|Retrieves the ID name of a time pattern given its index -|ENgetpatternindex|Retrieves the index of a time pattern given its ID name -|ENgetpatternlen|Retrieves the number of time periods in a time pattern -|ENgetpatternvalue|Retrieves a time pattern's factor for a given time period -|ENgetpremise|Gets the properties of a premise in a rule-based control -|ENgetpumptype|Retrieves the type of head curve used by a pump -|ENgetqualinfo|Gets information about the type of water quality analysis requested -|ENgetqualtype|Retrieves the type of water quality analysis to be run -|ENgetresultindex|Retrieves the order in which a node or link appears in an output file -|ENgetrule|Retrieves summary information about a rule-based control -|ENgetruleID|Gets the ID name of a rule-based control given its index -|ENgetstatistic|Retrieves a particular simulation statistic -|ENgetthenaction|Gets the properties of a THEN action in a rule-based control -|ENgettimeparam|Retrieves the value of a time parameter -|ENgettitle|Retrieves the title lines of the project -|ENgetversion|Retrieves the toolkit API version number -|ENgetvertex|Retrieves the coordinate's of a vertex point assigned to a link -|ENgetvertexcount|Retrieves the number of internal vertex points assigned to a link -|ENinit|Initializes an EPANET project -|ENinitH|Initializes a network prior to running a hydraulic analysis -|ENinitQ|Initializes a network prior to running a water quality analysis -|ENnextH| Determines the length of time until the next hydraulic event occurs in an extended period simulation -|ENnextQ|Advances a water quality simulation over the time until the next hydraulic event -|ENopen|Opens an EPANET input file & reads in network data -|ENopenH|Opens a project's hydraulic solver -|ENopenQ|Opens a project's water quality solver -|ENreport|Writes simulation results in a tabular format to a project's report file -|ENresetreport|Resets a project's report options to their default values -|ENrunH|Computes a hydraulic solution for the current point in time -|ENrunQ|Makes hydraulic and water quality results at the start of the current time period available to a project's water quality solver -|ENsaveH|Transfers a project's hydraulics results from its temporary hydraulics file to its binary output file, where results are only reported at uniform reporting intervals -|ENsavehydfile|Saves a project's temporary hydraulics file to disk -|ENsaveinpfile|Saves a project's data to an EPANET-formatted text file -|ENsetbasedemand|Sets the base demand for one of a node's demand categories -|ENsetcomment|Sets a comment to a specific index -|ENsetcontrol|Sets the properties of an existing simple control -|ENsetcoord|Sets the (x,y) coordinates of a node -|ENsetcurve|Assigns a set of data points to a curve -|ENsetcurveid|Changes the ID name of a data curve given its index -|ENsetcurvevalue|Sets the value of a single data point for a curve -|ENsetdemandmodel|Sets the Type of demand model to use and its parameters -|ENsetdemandname|Assigns a name to a node's demand category -|ENsetdemandpattern|Sets the index of a time pattern used for one of a node's demand categories -|ENsetelseaction|Sets the properties of an ELSE action in a rule-based control -|ENsetflowunits|Sets a project's flow units -|ENsetheadcurveindex|Assigns a curve to a pump's head curve -|ENsetjuncdata|Sets a group of properties for a junction node -|ENsetlinkid|Changes the ID name of a link -|ENsetlinknodes|Sets the indexes of a link's start- and end-nodes -|ENsetlinktype|Changes a link's type -|ENsetlinkvalue|Sets a property value for a link -|ENsetnodeid|Changes the ID name of a node -|ENsetnodevalue|Sets a property value for a node -|ENsetoption|Sets the value for an anlysis option -|ENsetpattern|Sets the pattern factors for a given time pattern -|ENsetpatternid|Changes the ID name of a time pattern given its index -|ENsetpatternvalue|Sets a time pattern's factor for a given time period -|ENsetpipedata|Sets a group of properties for a pipe link -|ENsetpremise|Sets the properties of a premise in a rule-based control -|ENsetpremiseindex|Sets the index of an object in a premise of a rule-based control -|ENsetpremisestatus|Sets the status being compared to in a premise of a rule-based control -|ENsetpremisevalue|Sets the value in a premise of a rule-based control -|ENsetqualtype|Sets the type of water quality analysis to run -|ENsetreport|Processes a reporting format command -|ENsetrulepriority|Sets the priority of a rule-based control -|ENsetstatusreport|Sets the level of hydraulic status reporting -|ENsettankdata|Sets a group of properties for a tank node -|ENsetthenaction|Sets the properties of a THEN action in a rule-based control -|ENsettimeparam|Sets the value of a time parameter -|ENsettitle|Sets the title lines of the project -|ENsetvertices|Assigns a set of internal vertex points to a link -|ENsolveH|Runs a complete hydraulic simulation with results for all time periods written to a temporary hydraulics file -|ENsolveQ| Runs a complete water quality simulation with results at uniform reporting intervals written to the project's binary output file -|ENstepQ|Advances a water quality simulation by a single water quality time step -|ENusehydfile|Uses a previously saved binary hydraulics file to supply a project's hydraulics -|ENwriteline|Writes a line of text to a project's report file - - -## List of EPANET 2.3 Functions - -|Function|Description| -|---------|----------| -|ENgetcontrolenabled|Retrieves the enabled state of a specified control in the EPANET model using the API. -|getControlState|Retrieves the enabled state of a specified control in the EPANET model -|ENgetlinkvalues|retrieves property values for all links| -|ENgetruleenabled|etrieves the enabled state of a specific rule in the EPANET model using API. -|getRuleEnabled|Retrieves the enabled state of a specific rule in the EPANET model. -|ENloadpatternfile| -|loadPatternFile| -|ENopenX| -|openX| -|ENsetcontrolenabled|Sets the control state to either enable or disable in the EPANET model usin API. -|setControlEnabled|Sets the control state to either enable or disable in the EPANET model. -|ENsetcurvetype|Sets the type of a specified curve in the EPANET model using API. -|setCurveType|Sets the type of a specified curve in the EPANET model. -|setCurveTypePump|Sets the type of a curve to Pump in the EPANET model. -|setCurveTypeEfficiency|Sets the type of curve to Efficiency in the EPANET model. -|setCurveTypeHeadloss|Sets the type of a curve to Headloss in the EPANET model. -|setCurveTypeGeneral|Sets the type of a curve to general in the EPANET model. -|setCurveTypeValveCurve|Sets the type of a curve to Valve in the EPANET model. -|setCurveTypeVolume|Sets the type of a curve to Volume in the EPANET model. -|ENsetruleenabled|Enables a specific rule in the EPANET model using API. -|setRuleEnabled|Enables a specific rule in the EPANET model. -|ENtimetonextevent|Determines the type of event that will cause the end of the current time step, - along with the duration until the event occurs and its index using API -|getTimetoNextEvent|Determines the type of event that will cause the end of the current time step, - along with the duration until the event occurs and its index. -|getLinkInControl|Function to determine wether a link apperas in any simple or rule based control -|getNodeInControl|Function to determine wether a node apperas in any simple or rule based control -|getPatternAverageDefaultValue|Retrieves the average value of the default pattern -|getStatisticDeficientNodes|Retrieves the number of deficient nodes in the simulation. -|getStatisticDemandReduction|Retrieves the demand reduction statistic from the simulation. -|getStatisticIterations|Retrieves the number of iterations taken in the simulation. -|getStatisticRelativeError|Retrieves the relative error statistic from the simulation. -|getStatisticTotalLeakageLoss|Retrieves the total leakage loss statistic from the simulation. -|getTimeStartClockStartTime|Retrieves the simulation starting time of day. -|getLinkExpansionProperties|Retrieves the expansion properties for a specified link (pipe). -|getLinkLeakArea|Function to retrieve the leak area for a specified link (pipe). -|getLinkLeakageRate|Retrieves the leakage rate of a specific pipe (link) at a given point in time. -|getLinkValues|Retrieves property values for all links within the EPANET model during a hydraulic analysis. -|getLinkValveCurveGPV|Retrieves the valve curve for a specified general purpose valve (GPV). -|getLinkValveCurvePCV|Retrieves the valve curve for a specified pressure control valve (PCV). -|getNodeEmitterFlow|Retrieves node emmiter flow -|getNodeLeakageFlow|Retrieves the leakage flow for a specific node. -|getConsumerDemandDelivered|Retrieves the delivered consumer demand for a specific node. -|getConsumerDemandRequested|Retrieves the requested consumer demand for a specific node. -|getOptionsDemandPattern|Retrieves the default Demand pattern. -|getOptionsEmitterBackFlow|Retrieves the current setting for allowing reverse flow through emitters. -|getOptionsPressureUnits|get the pressure unit used in Epanet -|getOptionsStatusReport|get the type of the status report(full/no/normal) -|setOptionsStatusReport|Sets the status report for epanet -|setOptionsStatusReportNo|set the status report option to no Report -|setOptionsStatusReportNormal|set the status report option to normal report -|setOptionsStatusReportFull|set the status report option to full report -|setOptionsPressureUnitsMeters|Set pressure units to Meters and check if the change is possible. -|setOptionsPressureUnitsPSI|Set pressure units to PSI and check if the change is possible. -|setOptionsPressureUnitsKPA|Set pressure units to KPA and check if the change is possible. -|setOptionsEmitterBackFlowAllowed|Sets the option to allow reverse flow through emitters. -|setOptionsEmitterBackFlowDisallowed|Sets the option prevent reverse flow through emitters. -|setOptionsDemandPattern|Retrieves the default Demand pattern. -|setOptionsPressureUnits|Sets the pressure unit used in Epanet -|setTimeClockStartTime|Sets the start time for simulation -|setLinkTypeValvePCV|Sets the link type valve PCV(Position control valve) for a specified link. -|setLinkValveCurveGPV| Sets the valve curve for a specified general purpose valve (GPV). -|setLinkValveCurvePCV| Sets the valve curve for a specified pressure control valve (PCV). -|setLinkExpansionProperties|Sets the expansion properties for a specified link (pipe). -|setLinkLeakArea|Sets the leak area for a specified link (pipe). -|setFlowUnitsCMS|Sets flow units to CMS(Cubic Meters per Second). -|ENsetvertex|Sets the coordinates of a vertex point in a link within the EPANET model using API. -|setVertex|Sets the coordinates of a vertex point in a link within the EPANET model. -|addLinkValvePCV|Adds a new PCV valve and returns the index of the new PCV valve. +|-------------------------------------|---------------------------| +| addControls | Adds a new simple control | +| addCurve | Adds a new curve appended to the end of the existing curves | +| addLinkPipe | Adds a new pipe | +| addLinkPipeCV | Adds a new control valve pipe | +| addLinkPump | Adds a new pump | +| addLinkValveFCV | Adds a new FCV valve | +| addLinkValveGPV | Adds a new GPV valve | +| addLinkValvePBV | Adds a new PBV valve | +| addLinkValvePCV | Adds a new PCV valve and returns the index of the new PCV valve | +| addLinkValvePRV | Adds a new PRV valve | +| addLinkValvePSV | Adds a new PSV valve | +| addLinkValveTCV | Adds a new TCV valve | +| addNodeJunction | Adds a new junction | +| addNodeJunctionDemand | Adds a new demand to a junction given the junction index, base demand, demand time pattern and demand category name | +| addNodeReservoir | Adds a new reservoir | +| addNodeTank | Adds a new tank | +| addPattern | Adds a new time pattern to the network | +| addRules | Adds a new rule-based control to a project | +| appRotateNetwork | Rotates the network by theta degrees counter-clockwise | +| appShiftNetwork | Shifts the network | +| clearReport | Clears the contents of a project's report file | +| closeHydraulicAnalysis | Closes the hydraulic analysis system, freeing all allocated memory | +| closeNetwork | Closes down the Toolkit system | +| closeQualityAnalysis | Closes the water quality analysis system, freeing all allocated memory | +| copyReport | Copies the current contents of a project's report file to another file | +| createProject | Creates a new epanet projec | +| deleteAllTemps | Delete all temporary files (.inp, .bin) created in networks folder | +| deleteControls | Deletes an existing simple control | +| deleteCurve | Deletes a data curve from a project | +| deleteLink | Deletes a link | +| deleteNode | Deletes nodes | +| deleteNodeJunctionDemand | Deletes a demand from a junction given the junction index and demand index. +| deletePattern | Deletes a time pattern from a project | +| deletePatternsAll | Deletes all time patterns from a project | +| deleteProject | Deletes the epanet project | +| deleteRules | Deletes an existing rule-based control given it's index | +| getAdjacencyMatrix | Compute the adjacency matrix (connectivity graph) considering the flows, using mean flow | +| getAllAttributes | Get all attributes of a given Python object | +| getCMDCODE | Retrieves the CMC code | +| getComputedHydraulicTimeSeries | Computes hydraulic simulation and retrieves all time-series | +| getComputedQualityTimeSeries | Computes Quality simulation and retrieves all or some time-series | +| getComputedTimeSeries | Run analysis with binary fil | +| getConnectivityMatrix | Retrieve the Connectivity Matrix of the networ | +| getConsumerDemandDelivered | Retrieves the delivered consumer demand for a specific node | +| getConsumerDemandRequested | Retrieves the requested consumer demand for a specific node | +| getControlCount | Retrieves the number of controls => will replace getControlRulesCount | +| getControlRulesCount | Retrieves the number of controls | +| getControlState | Retrieves the enabled state of a specified control in the EPANET model | +| getControls | Retrieves the parameters of all control statements | +| getCounts | Retrieves the number of network components | +| getCurveComment | Retrieves the comment string of a curve | +| getCurveCount | Retrieves the number of curves | +| getCurveIndex | Retrieves the index of a curve with specific ID | +| getCurveLengths | Retrieves number of points in a curve | +| getCurveNameID | Retrieves the IDs of curves | +| getCurveType | Retrieves the curve-type for all curves | +| getCurveTypeIndex | Retrieves the curve-type index for all curves | +| getCurveValue | Retrieves the X, Y values of points of curves | +| getCurvesInfo | Retrieves all the info of curves | +| getDemandModel | Retrieves the type of demand model in use and its parameters | +| getENfunctionsImpemented | Retrieves the epanet functions that have been developed | +| getError | Retrieves the text of the message associated with a particular error or warning code | +| getFlowUnits | Retrieves flow units used to express all flow rates | +| getLibFunctions | Retrieves the functions of DLL | +| getLinkActualQuality | Retrieves the current computed link quality (read only) | +| getLinkBulkReactionCoeff | Retrieves the value of all link bulk chemical reaction coefficient | +| getLinkComment | Retrieves the comment string assigned to the link object | +| getLinkCount | Retrieves the number of links | +| getLinkDiameter | Retrieves the value of link diameters | +| getLinkEnergy | Retrieves the current computed pump energy usage (read only) | +| getLinkExpansionProperties | Retrieves the expansion properties for a specified link (pipe) | +| getLinkFlows | Retrieves the current computed flow rate (read only) | +| getLinkHeadloss | Retrieves the current computed head loss (read only) | +| getLinkInControl | Function to determine wether a link apperas in any simple or rule based control | +| getLinkIndex | Retrieves the indices of all links, or the indices of an ID set of links | +| getLinkInitialSetting | Retrieves the value of all link roughness for pipes or initial speed for pumps or initial setting for valves | +| getLinkInitialStatus | Retrieves the value of all link initial status | +| getLinkLeakArea | Function to retrieve the leak area for a specified link (pipe) | +| getLinkLeakageRate | Retrieves the leakage rate of a specific pipe (link) at a given point in time | +| getLinkLength | Retrieves the value of link lengths | +| getLinkMinorLossCoeff | Retrieves the value of link minor loss coefficients | +| getLinkNameID | Retrieves the ID label(s) of all links, or the IDs of an index set of links | +| getLinkNodesIndex | Retrieves the indexes of the from/to nodes of all links | +| getLinkPipeCount | Retrieves the number of pipes | +| getLinkPipeIndex | Retrieves the pipe indices | +| getLinkPipeNameID | Retrieves the pipe ID | +| getLinkPumpCount | Retrieves the number of pumps | +| getLinkPumpECost | Retrieves the pump average energy price | +| getLinkPumpECurve | Retrieves the pump efficiency v | +| getLinkPumpEPat | Retrieves the pump energy price time pattern index | +| getLinkPumpEfficiency | Retrieves the current computed pump efficiency (read only) | +| getLinkPumpHCurve | Retrieves the pump head v | +| getLinkPumpHeadCurveIndex | Retrieves the index of a head curve for all pumps | +| getLinkPumpIndex | Retrieves the pump indices | +| getLinkPumpNameID | Retrieves the pump ID | +| getLinkPumpPatternIndex | Retrieves the pump speed time pattern index | +| getLinkPumpPatternNameID | Retrieves pump pattern name ID | +| getLinkPumpPower | Retrieves the pump constant power rating (read only) | +| getLinkPumpState | Retrieves the current computed pump state (read only) (see @ref EN_PumpStateType) | +| getLinkPumpSwitches | Retrieves the number of pump switches | +| getLinkPumpType | Retrieves the type of a pump | +| getLinkPumpTypeCode | Retrieves the code of type of a pump | +| getLinkQuality | Retrieves the value of link quality | +| getLinkResultIndex | Retrieves the order in which a link's results were saved to an output file | +| getLinkRoughnessCoeff | Retrieves the value of link roughness coefficient | +| getLinkSettings | Retrieves the current computed value of all link roughness for pipes or actual speed for pumps or actual setting for valves | +| getLinkStatus | Retrieves the current link status (see @ref EN_LinkStatusType) (0 = closed, 1 = open) | +| getLinkType | Retrieves the link-type code for all links | +| getLinkTypeIndex | Retrieves the link-type code for all links | +| getLinkValues | Retrieves property values for all links within the EPANET model during a hydraulic analysis | +| getLinkValveCount | Retrieves the number of valves | +| getLinkValveCurveGPV | Retrieves the valve curve for a specified general purpose valve (GPV) | +| getLinkValveCurvePCV | Retrieves the valve curve for a specified pressure control valve (PCV) | +| getLinkValveIndex | Retrieves the valve indices | +| getLinkValveNameID | Retrieves the valve ID | +| getLinkVelocity | Retrieves the current computed flow velocity (read only) | +| getLinkVertices | Retrieves the coordinate's of a vertex point assigned to a link | +| getLinkVerticesCount | Retrieves the number of internal vertex points assigned to a link | +| getLinkWallReactionCoeff | Retrieves the value of all pipe wall chemical reaction coefficient | +| getLinksInfo | Retrieves all link info | +| getNetworksDatabase | Retrieves all EPANET Input Files from EPyT database | +| getNodeActualDemand | Retrieves the computed value of all node actual demands | +| getNodeActualDemandSensingNodes | Retrieves the computed demand values at some sensing nodes | +| getNodeActualQuality | Retrieves the computed values of the actual quality for all nodes | +| getNodeActualQualitySensingNodes | Retrieves the computed quality values at some sensing node | +| getNodeBaseDemands | Retrieves the value of all node base demands | +| getNodeComment | Retrieves the comment string assigned to the node object | +| getNodeCount | Retrieves the number of nodes | +| getNodeDemandCategoriesNumber | Retrieves the value of all node base demands categorie number | +| getNodeDemandDeficit | Retrieves the amount that full demand is reduced under PDA | +| getNodeDemandPatternIndex | Retrieves the value of all node base demands pattern index | +| getNodeDemandPatternNameID | Retrieves the value of all node base demands pattern name ID | +| getNodeElevations | Retrieves the value of all node elevations | +| getNodeEmitterCoeff | Retrieves the value of all node emmitter coefficients | +| getNodeEmitterFlow | Retrieves node emmiter flow | +| getNodeHydraulicHead | Retrieves the computed values of all node hydraulic heads | +| getNodeInControl | Function to determine wether a node apperas in any simple or rule based control | +| getNodeIndex | Retrieves the indices of all nodes or some nodes with a specified ID | +| getNodeInitialQuality | Retrieves the value of all node initial quality | +| getNodeJunctionCount | Retrieves the number of junction nodes | +| getNodeJunctionDemandIndex | Retrieves the demand index of the junctions | +| getNodeJunctionDemandName | Gets the name of a node's demand category | +| getNodeJunctionIndex | Retrieves the indices of junctions | +| getNodeJunctionNameID | Retrieves the junction ID label | +| getNodeLeakageFlow | Retrieves the leakage flow for a specific node | +| getNodeMassFlowRate | Retrieves the computed mass flow rates per minute of chemical sources for all nodes | +| getNodeNameID | Retrieves the ID label of all nodes or some nodes with a specified index | +| getNodePatternIndex | Retrieves the value of all node demand pattern indices | +| getNodePressure | Retrieves the computed values of all node pressures | +| getNodeReservoirCount | Retrieves the number of Reservoirs | +| getNodeReservoirIndex | Retrieves the indices of reservoirs | +| getNodeReservoirNameID | Retrieves the reservoir ID label | +| getNodeResultIndex | Retrieves the order in which a node's results were saved to an output file | +| getNodeSourcePatternIndex | Retrieves the value of all node source pattern index | +| getNodeSourceQuality | Retrieves the value of all node source quality | +| getNodeSourceType | Retrieves the value of all node source type | +| getNodeSourceTypeIndex | Retrieves the value of all node source type index | +| getNodeTankBulkReactionCoeff | Retrieves the tank bulk rate coefficient | +| getNodeTankCanOverFlow | Retrieves the tank can overflow (= 1) or not (= 0) | +| getNodeTankCount | Retrieves the number of Tanks | +| getNodeTankData | Retrieves a group of properties for a tank | +| getNodeTankDiameter | Retrieves the tank diameters | +| getNodeTankIndex | Retrieves the tank indices | +| getNodeTankInitialLevel | Retrieves the value of all tank initial water levels | +| getNodeTankInitialWaterVolume | Retrieves the tank initial water volume | +| getNodeTankMaximumWaterLevel | Retrieves the tank maximum water level | +| getNodeTankMaximumWaterVolume | Retrieves the tank maximum water volume | +| getNodeTankMinimumWaterLevel | Retrieves the tank minimum water level | +| getNodeTankMinimumWaterVolume | Retrieves the tank minimum water volume | +| getNodeTankMixZoneVolume | Retrieves the tank mixing zone volume | +| getNodeTankMixingFraction | Retrieves the tank Fraction of total volume occupied by the inlet/outlet zone in a 2-compartment tank | +| getNodeTankMixingModelCode | Retrieves the tank mixing model code | +| getNodeTankMixingModelType | Retrieves the tank mixing model type | +| getNodeTankNameID | Retrieves the tank IDs | +| getNodeTankReservoirCount | Retrieves the number of tanks | +| getNodeTankVolume | Retrieves the tank volume | +| getNodeTankVolumeCurveIndex | Retrieves the tank volume curve index | +| getNodeType | Retrieves the node-type code for all nodes | +| getNodeTypeIndex | Retrieves the node-type code for all nodes | +| getNodesConnectingLinksID | Retrieves the id of the from/to nodes of all links | +| getNodesConnectingLinksIndex | Retrieves the indexes of the from/to nodes of all links | +| getNodesInfo | Retrieves nodes info (elevations, demand patterns, emmitter coeff, initial quality, source quality, source pattern index, source type index, node type index) | +| getOptionsAccuracyValue | Retrieves the total normalized flow change for hydraulic convergence | +| getOptionsCheckFrequency | Retrieves the frequency of hydraulic status checks | +| getOptionsDampLimit | Retrieves the accuracy level where solution damping begins | +| getOptionsDemandCharge | Retrieves the energy charge per maximum KW usage | +| getOptionsDemandPattern | Retrieves the default Demand pattern | +| getOptionsEmitterBackFlow | Retrieves the current setting for allowing reverse flow through emitters | +| getOptionsEmitterExponent | Retrieves the power exponent for the emmitters | +| getOptionsExtraTrials | Retrieves the extra trials allowed if hydraulics don't converge | +| getOptionsFlowChange | Retrieves the maximum flow change for hydraulic convergence | +| getOptionsGlobalEffic | Retrieves the global efficiency for pumps(percent) | +| getOptionsGlobalPattern | Retrieves the index of the global energy price pattern | +| getOptionsGlobalPrice | Retrieves the global average energy price per kW-Hour | +| getOptionsHeadError | Retrieves the maximum head loss error for hydraulic convergence | +| getOptionsHeadLossFormula | Retrieves the headloss formula | +| getOptionsLimitingConcentration | Retrieves the limiting concentration for growth reactions | +| getOptionsMaxTrials | Retrieves the maximum hydraulic trials allowed for hydraulic convergence | +| getOptionsMaximumCheck | Retrieves the maximum trials for status checking | +| getOptionsPatternDemandMultiplier | Retrieves the global pattern demand multiplier | +| getOptionsPipeBulkReactionOrder | Retrieves the bulk water reaction order for pipes | +| getOptionsPipeWallReactionOrder | Retrieves the wall reaction order for pipes (either 0 or 1) | +| getOptionsPressureUnits | get the pressure unit used in Epanet | +| getOptionsQualityTolerance | Retrieves the water quality analysis tolerance | +| getOptionsSpecificDiffusivity | Retrieves the specific diffusivity (relative to chlorine at 20 deg C) | +| getOptionsSpecificGravity | Retrieves the specific gravity | +| getOptionsSpecificViscosity | Retrieves the specific viscosity | +| getOptionsStatusReport | get the type of the status report(full/no/normal) | +| getOptionsTankBulkReactionOrder | Retrieves the bulk water reaction order for tanks | +| getPattern | Retrieves the multiplier factor for all patterns and all times | +| getPatternAverageDefaultValue | Retrieves the average value of the default pattern | +| getPatternAverageValue | Retrieves the average values of all the time patterns | +| getPatternComment | Retrieves the comment string assigned to the pattern object | +| getPatternCount | Retrieves the number of patterns | +| getPatternIndex | Retrieves the index of all or some time patterns given their IDs | +| getPatternLengths | Retrieves the number of time periods in all or some time patterns | +| getPatternNameID | Retrieves the ID label of all or some time patterns indices | +| getPatternValue | Retrieves the multiplier factor for a certain pattern and time | +| getQualityCode | Retrieves the code of water quality analysis type | +| getQualityInfo | Retrieves quality analysis information (type, chemical name, units, trace node ID) | +| getQualityTraceNodeIndex | Retrieves the trace node index of water quality analysis type | +| getQualityType | Retrieves the type of water quality analysis type | +| getRuleCount | Retrieves the number of rules | +| getRuleEnabled | Retrieves the enabled state of a specific rule in the EPANET model | +| getRuleID | Retrieves the ID name of a rule-based control given its index | +| getRuleInfo | Retrieves summary information about a rule-based control given it's index | +| getRules | Retrieves the rule - based control statements | +| getStatistic | Returns error code | +| getStatisticDeficientNodes | Retrieves the number of deficient nodes in the simulation | +| getStatisticDemandReduction | Retrieves the demand reduction statistic from the simulation | +| getStatisticIterations | Retrieves the number of iterations taken in the simulation | +| getStatisticRelativeError | Retrieves the relative error statistic from the simulation | +| getStatisticTotalLeakageLoss | Retrieves the total leakage loss statistic from the simulation. | +| getTimeHTime | Retrieves the elapsed time of current hydraulic solution | +| getTimeHaltFlag | Retrieves the number of halt flag indicating if the simulation was halted | +| getTimeHydraulicStep | Retrieves the value of the hydraulic time step | +| getTimeNextEvent | Retrieves the shortest time until a tank becomes empty or full | +| getTimeNextEventTank | Retrieves the index of tank with shortest time to become empty or full | +| getTimePatternStart | Retrieves the value of pattern start time | +| getTimePatternStep | Retrieves the value of the pattern time step | +| getTimeQTime | Retrieves the elapsed time of current quality solution | +| getTimeQualityStep | Retrieves the value of the water quality time step | +| getTimeReportingPeriods | Retrieves the number of reporting periods saved to the binary | +| getTimeReportingStart | Retrieves the value of the reporting start time | +| getTimeReportingStep | Retrieves the value of the reporting time step | +| getTimeRuleControlStep | Retrieves the time step for evaluating rule-based controls | +| getTimeSimulationDuration | Retrieves the value of simulation duration | +| getTimeStartClockStartTime | Retrieves the simulation starting time of day | +| getTimeStartTime | Retrieves the simulation starting time of day | +| getTimeStatisticsIndex | Retrieves the index of the type of time series post-processing | +| getTimeStatisticsType | Retrieves the type of time series post-processing | +| getTimetoNextEvent | Determines the type of event that will cause the end of the current time step/duration/index | +| getTitle | Retrieves the title lines of the project | +| getUnits | Retrieves the Units of Measurement | +| getVersion | Retrieves the current EPANET version of DLL | +| initializeEPANET | Initializes an EPANET project that isn't opened with an input fil | +| initializeHydraulicAnalysis | Initializes storage tank levels, link status and settings, and the simulation clock time prior to running a hydraulic analysis | +| initializeQualityAnalysis | Initializes water quality and the simulation clock time prior to running a water quality analysis | +| loadEPANETFile | Load epanet file when use bin functions | +| loadMSXEPANETFile | Re-Load EPANET MSX file - parfor | +| loadPatternFile | loads time patterns from a file into a project under a specific pattern ID | +| nextHydraulicAnalysisStep | Determines the length of time until the next hydraulic event occurs in an extended period simulation | +| nextQualityAnalysisStep | Advances the water quality simulation to the start of the next hydraulic time period | +| openAnyInp | Open as on matlab editor any EPANET input file using built function open | +| openCurrentInp | Opens EPANET input file who is loade | +| openHydraulicAnalysis | Opens the hydraulics analysis system | +| openQualityAnalysis | Opens the water quality analysis system | +| openX | enable the opening of input files with formatting errors | +| plot | Plot Network, show all components, plot pressure/flow/elevation | +| plot_close | Close all open figures | +| plot_save | Save plot | +| plot_show | Show plot | +| reloadNetwork | Reloads the Network (ENopen) | +| runEPANETexe | Runs epanet .exe file | +| runHydraulicAnalysis | Runs a single period hydraulic analysis, retrieving the current simulation clock time t | +| runQualityAnalysis | Makes available the hydraulic and water quality results that occur at the start of the next time period of a water quality analysis, where the start of the period is returned in t | +| runsCompleteSimulation | Runs a complete hydraulic and water simulation to create binary & report files with name: [NETWORK_temp.txt], [NETWORK_temp.bin] OR you can use argument to runs a complete simulation via self.api.en_epane | +| saveHydraulicFile | Saves the current contents of the binary hydraulics file to a file | +| saveHydraulicsOutputReportingFile | Transfers results of a hydraulic simulation from the binary Hydraulics file to the binary Output file, where results are only reported at uniform reporting intervals | +| saveInputFile | Writes all current network input data to a file using the format of an EPANET input file | +| setCMDCODE | Sets the CMC code | +| setControlEnabled | Sets the control state to either enable or disable in the EPANET model | +| setControls | Sets the parameters of a simple control statement | +| setCurve | Sets x, y values for a specific curve | +| setCurveComment | Sets the comment string of a curve | +| setCurveNameID | Sets the name ID of a curve given it's index and the new ID | +| setCurveType | Sets the type of a specified curve in the EPANET model | +| setCurveTypeEfficiency | Sets the type of curve to Efficiency in the EPANET model | +| setCurveTypeGeneral | Sets the type of a curve to general in the EPANET model | +| setCurveTypeHeadloss | Sets the type of a curve to Headloss in the EPANET model | +| setCurveTypePump | Sets the type of a curve to Pump in the EPANET model | +| setCurveTypeValveCurve | Sets the type of a curve to Valve in the EPANET model | +| setCurveTypeVolume | Sets the type of a curve to Volume in the EPANET model | +| setCurveValue | Sets x, y point for a specific point number and curve | +| setDemandModel | Sets the type of demand model to use and its parameters | +| setFlowUnitsAFD | Sets flow units to AFD(Acre-Feet per Day) | +| setFlowUnitsCFS | Sets flow units to CFS(Cubic Feet per Second) | +| setFlowUnitsCMD | Sets flow units to CMD(Cubic Meters per Day) | +| setFlowUnitsCMH | Sets flow units to CMH(Cubic Meters per Hour) | +| setFlowUnitsCMS | Sets flow units to CMS(Cubic Meters per Second) | +| setFlowUnitsGPM | Sets flow units to GPM(Gallons Per Minute) | +| setFlowUnitsIMGD | Sets flow units to IMGD(Imperial Million Gallons per Day) | +| setFlowUnitsLPM | Sets flow units to LPM(Liters Per Minute) | +| setFlowUnitsLPS | Sets flow units to LPS(Liters Per Second) | +| setFlowUnitsMGD | Sets flow units to MGD(Million Gallons per Day) | +| setFlowUnitsMLD | Sets flow units to MLD(Million Liters per Day) | +| setLinkBulkReactionCoeff | Sets the value of bulk chemical reaction coefficient | +| setLinkComment | Sets the comment string assigned to the link object | +| setLinkDiameter | Sets the values of diameters | +| setLinkExpansionProperties | Sets the expansion properties for a specified link (pipe) | +| setLinkInitialSetting | Sets the values of initial settings, roughness for pipes or initial speed for pumps or initial setting for valves | +| setLinkInitialStatus | Sets the values of initial status | +| setLinkLeakArea | Sets the leak area for a specified link (pipe) | +| setLinkLength | Sets the values of lengths | +| setLinkMinorLossCoeff | Sets the values of minor loss coefficient | +| setLinkNameID | Sets the ID name for links | +| setLinkNodesIndex | Sets the indexes of a link's start- and end-nodes | +| setLinkPipeData | Sets a group of properties for a pipe | +| setLinkPumpECost | Sets the pump average energy price | +| setLinkPumpECurve | Sets the pump efficiency v | +| setLinkPumpEPat | Sets the pump energy price time pattern index | +| setLinkPumpHCurve | Sets the pump head v | +| setLinkPumpHeadCurveIndex | Sets the curves index for pumps index | +| setLinkPumpPatternIndex | Sets the pump speed time pattern index | +| setLinkPumpPower | Sets the power for pumps | +| setLinkRoughnessCoeff | Sets the values of roughness coefficient | +| setLinkSettings | Sets the values of current settings, roughness for pipes or initial speed for pumps or initial setting for valves | +| setLinkStatus | Sets the values of current status for links | +| setLinkTypePipe | Sets the link type pipe for a specified link | +| setLinkTypePipeCV | Sets the link type cvpipe(pipe with check valve) for a specified link | +| setLinkTypePump | Sets the link type pump for a specified link | +| setLinkTypeValveFCV | Sets the link type valve FCV(flow control valve) for a specified link | +| setLinkTypeValveGPV | Sets the link type valve GPV(general purpose valve) for a specified link | +| setLinkTypeValvePBV | Sets the link type valve PBV(pressure breaker valve) for a specified link | +| setLinkTypeValvePCV | Sets the link type valve PCV(Position control valve) for a specified link | +| setLinkTypeValvePRV | Sets the link type valve PRV(pressure reducing valve) for a specified link | +| setLinkTypeValvePSV | Sets the link type valve PSV(pressure sustaining valve) for a specified link | +| setLinkTypeValveTCV | Sets the link type valve TCV(throttle control valve) for a specified link | +| setLinkValveCurveGPV | Sets the valve curve for a specified general purpose valve (GPV) | +| setLinkValveCurvePCV | Sets the valve curve for a specified pressure control valve (PCV) | +| setLinkVertices | Assigns a set of internal vertex points to a link | +| setLinkWallReactionCoeff | Sets the value of wall chemical reaction coefficient | +| setNodeBaseDemands | Sets the values of demand for nodes | +| setNodeComment | Sets the comment string assigned to the node object | +| setNodeCoordinates | Sets node coordinates | +| setNodeDemandPatternIndex | Sets the values of demand time pattern indices | +| setNodeElevations | Sets the values of elevation for nodes | +| setNodeEmitterCoeff | Sets the values of emitter coefficient for nodes | +| setNodeInitialQuality | Sets the values of initial quality for nodes | +| setNodeJunctionData | Sets a group of properties for a junction node | +| setNodeJunctionDemandName | Assigns a name to a node's demand category | +| setNodeNameID | Sets the ID name for nodes | +| setNodeSourcePatternIndex | Sets the values of quality source pattern index | +| setNodeSourceQuality | Sets the values of quality source strength | +| setNodeSourceType | Sets the values of quality source type | +| setNodeTankBulkReactionCoeff | Sets the tank bulk reaction coefficient | +| setNodeTankCanOverFlow | Sets the tank can-overflow (= 1) or not (= 0) | +| setNodeTankData | Sets a group of properties for a tank | +| setNodeTankDiameter | Sets the diameter value for tanks | +| setNodeTankInitialLevel | Sets the values of initial level for tanks | +| setNodeTankMaximumWaterLevel | Sets the maximum water level value for tanks | +| setNodeTankMinimumWaterLevel | Sets the minimum water level value for tanks | +| setNodeTankMinimumWaterVolume | Sets the minimum water volume value for tanks | +| setNodeTankMixingFraction | Sets the tank mixing fraction of total volume occupied by the inlet/outlet zone in a 2-compartment tank | +| setNodeTankMixingModelType | Sets the mixing model type value for tanks | +| setNodeTypeJunction | Transforms a node to JUNCTION The new node keeps the id,coordinates and elevation of the deleted on | +| setNodeTypeReservoir | Transforms a node to RESERVOIR The new node keeps the id,coordinates and elevation of the deleted on | +| setNodeTypeTank | Transforms a node to TANK The new node keeps the id,coordinates and elevation of the deleted on | +| setNodesConnectingLinksID | Sets the IDs of a link's start- and end-nodes | +| setOptionsAccuracyValue | Sets the total normalized flow change for hydraulic convergence | +| setOptionsCheckFrequency | Sets the frequency of hydraulic status checks | +| setOptionsDampLimit | Sets the accuracy level where solution damping begins | +| setOptionsDemandCharge | Sets the energy charge per maximum KW usage | +| setOptionsDemandPattern | Retrieves the default Demand pattern | +| setOptionsEmitterBackFlowAllowed | Sets the option to allow reverse flow through emitters | +| setOptionsEmitterBackFlowDisallowed | Sets the option prevent reverse flow through emitters | +| setOptionsEmitterExponent | Sets the power exponent for the emmitters | +| setOptionsExtraTrials | Sets the extra trials allowed if hydraulics don't converge | +| setOptionsFlowChange | Sets the maximum flow change for hydraulic convergence | +| setOptionsGlobalEffic | Sets the global efficiency for pumps(percent) | +| setOptionsGlobalPattern | Sets the global energy price pattern | +| setOptionsGlobalPrice | Sets the global average energy price per kW-Hour | +| setOptionsHeadError | Sets the maximum head loss error for hydraulic convergence | +| setOptionsHeadLossFormula | Sets the headloss formula | +| setOptionsLimitingConcentration | Sets the limiting concentration for growth reactions | +| setOptionsMaxTrials | Sets the maximum hydraulic trials allowed for hydraulic convergence | +| setOptionsMaximumCheck | Sets the maximum trials for status checking | +| setOptionsPatternDemandMultiplier | Sets the global pattern demand multiplier | +| setOptionsPipeBulkReactionOrder | Sets the bulk water reaction order for pipes | +| setOptionsPipeWallReactionOrder | Sets the wall reaction order for pipes (either 0 or 1) | +| setOptionsPressureUnits | Sets the pressure unit used in Epanet | +| setOptionsPressureUnitsKPA | Set pressure units to KPA and check if the change is possible | +| setOptionsPressureUnitsMeters | Set pressure units to Meters and check if the change is possible | +| setOptionsPressureUnitsPSI | Set pressure units to PSI and check if the change is possible | +| setOptionsQualityTolerance | Sets the water quality analysis tolerance | +| setOptionsSpecificDiffusivity | Sets the specific diffusivity (relative to chlorine at 20 deg C) | +| setOptionsSpecificGravity | Sets the specific gravity | +| setOptionsSpecificViscosity | Sets the specific viscosity | +| setOptionsStatusReport | Sets the status report for epanet | +| setOptionsStatusReportFull | set the status report option to full report | +| setOptionsStatusReportNo | set the status report option to no Report | +| setOptionsStatusReportNormal | set the status report option to normal report | +| setOptionsTankBulkReactionOrder | Sets the bulk water reaction order for tanks | +| setPattern | Sets all of the multiplier factors for a specific time pattern | +| setPatternComment | Sets the comment string assigned to the pattern object | +| setPatternMatrix | Sets all of the multiplier factors for all time patterns | +| setPatternNameID | Sets the name ID of a time pattern given it's index and the new ID | +| setPatternValue | Sets the multiplier factor for a specific period within a time pattern | +| setQualityType | Sets the type of water quality analysis called for | +| setReport | Issues a report formatting command | +| setReportFormatReset | Resets a project's report options to their default values | +| setReportStatus | Sets the level of hydraulic status reporting | +| setRuleElseAction | Sets rule - based control else actions | +| setRuleEnabled | Enables a specific rule in the EPANET model | +| setRulePremise | Sets the premise of a rule - based control | +| setRulePremiseObejctNameID | Sets the ID of an object in a premise of a rule-based control | +| setRulePremiseStatus | Sets the status being compared to in a premise of a rule-based control | +| setRulePremiseValue | Sets the value being compared to in a premise of a rule-based control | +| setRulePriority | Sets rule - based control priority | +| setRuleThenAction | Sets rule - based control then actions | +| setRules | Sets a rule - based control | +| setTimeClockStartTime | Sets the start time for simulation | +| setTimeHydraulicStep | Sets the hydraulic time step | +| setTimePatternStart | Sets the time when time patterns begin | +| setTimePatternStep | Sets the time pattern step | +| setTimeQualityStep | Sets the quality time step | +| setTimeReportingStart | Sets the time when reporting starts | +| setTimeReportingStep | Sets the reporting time step | +| setTimeRuleControlStep | Sets the rule-based control evaluation time step | +| setTimeSimulationDuration | Sets the simulation duration (in seconds) | +| setTimeStatisticsType | Sets the statistic type | +| setTitle | Sets the title lines of the project | +| setVertex | Sets the coordinates of a vertex point in a link within the EPANET model | +| solveCompleteHydraulics | Runs a complete hydraulic simulation with results for all time periods written to the binary Hydraulics file | +| solveCompleteQuality | Runs a complete water quality simulation with results at uniform reporting intervals written to EPANET's binary Output file | +| splitPipe | Splits a pipe, creating two new pipes and adds a junction/node in between | +| stepQualityAnalysisTimeLeft | Advances the water quality simulation one water quality time step | +| unload | unload library and close the EPANET Toolkit system | +| useHydraulicFile | Uses the contents of the specified file as the current binary hydraulics file | +| writeLineInReportFile | Writes a line of text to the EPANET report file | +| writeReport | Writes a formatted text report on simulation results to the Report file | +## MSX Functions +| addMSXPattern | Adds a new, empty MSX source time pattern to the project | +| getMSXAreaUnits | Retrieves the area units (FT2/M2/CM2) | +| getMSXAtol | Retrieves the absolute concentration tolerance | +| getMSXCompiler | Retrieves the compiler (NONE/VC/GC) | +| getMSXComputedLinkQualitySpecie | Returns the link quality for specific specie | +| getMSXComputedNodeQualitySpecie | Returns the node quality for specific specie | +| getMSXComputedQualityLink | Returns the computed quality for links. | +| getMSXComputedQualityNode | Retrieves the concentration of a chemical species at a specific node of the network at the current simulation time step. | +| getMSXComputedQualitySpecie | Retrieves the quality values for specific specie (e.g getMSXComputedQualitySpecie('CL2')) | +| getMSXComputedQualitySpecie | Retrieves the quality values for specific specie (e.g getMSXComputedQualitySpecie(['CL2'])) | +| getMSXConstantsCount | Retrieves the number of constants | +| getMSXConstantsIndex | Retrieves the internal index number of constants (given its ID name) | +| getMSXConstantsNameID | Retrieves the ID name of constants (given its internal index number) | +| getMSXConstantsValue | Retrieves the constant's value. | +| getMSXCoupling | Retrieves the coupling (FULL/NONE) | +| getMSXEquationsPipes | Retrieves the species dynamics in pipes | +| getMSXEquationsTanks | Retrieves the species dynamics in tanks | +| getMSXEquationsTerms | Retrieves the species dynamics in terms | +| getMSXError | Returns the text for an error message given its error code | +| getMSXLinkInitqualValue | Retrieves the initial concentration of chemical species assigned to links of the pipe network | +| getMSXNodeInitqualValue | Retrieves the initial concentration of chemical species assigned to nodes | +| getMSXOptions | Retrieves all the msx option parameters | +| getMSXParametersCount | Retrieves the number of parameters | +| getMSXParametersIndex | Retrieves the indices of parameters | +| getMSXParametersNameID | Retrieves the ID name of parameters | +| getMSXParametersPipesValue | Retrieves the value of reaction parameters for pipes | +| getMSXParametersTanksValue | Retrieves the value of reaction parameters for tanks | +| getMSXPattern | Retrieves the multiplier factor for all patterns and all times | +| getMSXPatternValue | Retrieves the multiplier at a specific time period for a given source time pattern | +| getMSXPatternsCount | Retrieves the number of patterns | +| getMSXPatternsIndex | Retrieves the indices of patterns | +| getMSXPatternsLengths | Retrieves the number of time periods in all or some patterns | +| getMSXPatternsNameID | Retrieves the patterns IDs | +| getMSXRateUnits | Retrieves the rate/time units (SEC/MIN/HR/DAY) | +| getMSXRtol | Retrieves the relative concentration tolerance | +| getMSXSolver | Retrieves the solver method. | +| getMSXSourceLevel | Retrieves the value of all nodes source level | +| getMSXSourceNodeNameID | Retrieves the ID label of all nodes | +| getMSXSourcePatternIndex | Retrieves the value of all node source pattern index | +| getMSXSourceType | Retrieves the value of all node source type | +| getMSXSources | Retrieves Msx sources | +| getMSXSpeciesATOL | Retrieves the atol | +| getMSXSpeciesConcentration | Retrieves the concentration of chemical species for nodes and links | +| getMSXSpeciesCount | Retrieves the number of species | +| getMSXSpeciesIndex | Retrieves the indices of species | +| getMSXSpeciesNameID | Retrieves the species IDs | +| getMSXSpeciesRTOL | Retrieves the rtol | +| getMSXSpeciesType | Retrieves the type of all species (BULK/WALL) | +| getMSXSpeciesUnits | Retrieves the species mass units | +| getMSXTimeStep | Retrieves the time step | +| getMethods | Returns all methods of epanet | +| initializeMSXQualityAnalysis | Initializes the MSX system before solving for water quality results in step-wise fashion | +| plotMSXSpeciesLinkConcentration | Plots concentration of species for links over time. | +| plotMSXSpeciesNodeConcentration | Plots concentration of species for nodes over time. | +| saveMSXFile | Saves the data associated with the current MSX project into a new MSX input file | +| saveMSXQualityFile | Saves water quality results computed for each node, link and reporting time period to a named binary file | +| setMSXAreaUnitsCM2 | Sets area units to CM2 | +| setMSXAreaUnitsFT2 | Sets area units to FT2 | +| setMSXAreaUnitsM2 | Sets area units to M2 | +| setMSXAtol | Sets the value of Atol | +| setMSXCompilerGC | Sets compilet to GC | +| setMSXCompilerNONE | Sets compiler to None | +| setMSXCompilerVC | Sets compiler to VC | +| setMSXConstantsValue | Assigns a new value to a specific reaction constant | +| setMSXCouplingFULL | Sets coupling option to FULL | +| setMSXCouplingNONE | Sets coupling option to NONE | +| setMSXLinkInitqualValue | Assigns an initial concentration of chemical species to links | +| setMSXNodeInitqualValue | Assigns an initial concentration of chemical species to nodes | +| setMSXParametersPipesValue | Assigns a value to a particular reaction parameter for given pipes | +| setMSXParametersTanksValue | Assigns a value to a particular reaction parameter for given tanks | +| setMSXPattern | Sets all of the multiplier factors for a specific time pattern | +| setMSXPatternMatrix | Sets the multiplier factors for all patterns | +| setMSXPatternValue | Assigns a new value to the multiplier for a specific time period in a given MSX source time pattern | +| setMSXRateUnitsDAY | Sets rate units to DAY | +| setMSXRateUnitsHR | Sets rate units to HR | +| setMSXRateUnitsMIN | Sets rate units to MIN | +| setMSXRateUnitsSEC | Sets rate units to SEC | +| setMSXRtol | Sets the value of Rtol | +| setMSXSolverEUL | Sets solver to EUL (standard Euler integrator) | +| setMSXSolverRK5 | Sets solver to RK5 (Runge-Kutta 5th order integrator) | +| setMSXSolverROS2 | Sets solver to ROS2 (2nd order Rosenbrock integrator) | +| setMSXSources | Sets the attributes of an external source of a particular chemical species to a specific node of the pipe network | +| setMSXTimeStep | Sets time step | +| solveMSXCompleteHydraulics | Solves for system hydraulics over the entire simulation period saving results to an internal scratch file | +| solveMSXCompleteQuality | Solves for water quality over the entire simulation period and saves the results to an internal scratch file | +| stepMSXQualityAnalysisTimeLeft | Advances the water quality solution through a single water quality time step when performing a step-wise simulation | +| useMSXHydraulicFile | Uses a previously saved EPANET hydraulics file as the source of hydraulic information | +| unloadMSX | Unloads MSX file | +| writeMSXFile | Write a new MSX file | +| writeMSXReport | Writes MSX report | + +## List of EPANET 2.2 Functions API + +| Function | Description | +|--------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------| +| ENaddcontrol | Adds a new simple control to a project | +| ENaddcurve | Adds a new data curve to a project | +| ENadddemand | Appends a new demand to a junction node demands list | +| ENaddlink | Adds a new link to a project | +| ENaddnode | Adds a new node to a project | +| ENaddpattern | Adds a new time pattern to a project | +| ENaddrule | Adds a new rule-based control to a project | +| ENclearreport | Clears the contents of a project's report file | +| ENclose | Closes a project and frees all of its memory | +| ENcloseH | Closes the hydraulic solver freeing all of its allocated memory | +| ENcloseQ | Closes the water quality solver, freeing all of its allocated memory | +| ENcopyreport | Copies the current contents of a project's report file to another file | +| ENcreateproject | Copies the current contents of a project's report file to another file | +| ENdeletecontrol | Deletes an existing simple control | +| ENdeletecurve | Deletes a data curve from a project | +| ENdeletedemand | Deletes a demand from a junction node | +| ENdeletelink | Deletes a link from the project | +| ENdeletenode | Deletes a node from a project | +| ENdeletepattern | Deletes a time pattern from a project | +| ENdeleteproject | Deletes an EPANET project | +| ENdeleterule | Deletes an existing rule-based control| +| ENepanet | Runs a complete EPANET simulation | +| ENgetaveragepatternvalue | Retrieves the average of all pattern factors in a time pattern | +| ENgetbasedemand | Gets the base demand for one of a node's demand categories | +| ENgetcomment | Sets a comment to a specific index | +| ENgetcontrol | Retrieves the comment of a specific index of a type object | +| ENgetcoord | Gets the (x,y) coordinates of a node | +| ENgetcount | Retrieves the number of objects of a given type in a project | +| ENgetcurve | Retrieves all of a curve's data | +| ENgetcurveid | Retrieves the ID name of a curve given its index | +| ENgetcurveindex | Retrieves the index of a curve given its ID name | +| ENgetcurvelen | Retrieves the number of points in a curve | +| ENgetcurvetype | Retrieves a curve's type | +| ENgetcurvevalue | Retrieves the value of a single data point for a curve | +| ENgetdemandindex | Retrieves the index of a node's named demand category | +| ENgetdemandmodel | Retrieves the type of demand model in use and its parameters | +| ENgetdemandname | Retrieves the name of a node's demand category | +| ENgetdemandpattern | Retrieves the index of a time pattern assigned to one of a node's demand categories | +| ENgetelseaction | Gets the properties of an ELSE action in a rule-based control | +| ENgeterror | Returns the text of an error message generated by an error code, as warning | +| ENgetflowunits | Retrieves a project's flow units | +| ENgetheadcurveindex | Retrieves the curve assigned to a pump's head curve | +| ENgetlinkid | Gets the ID name of a link given its index | +| ENgetlinkindex | Gets the index of a link given its ID name | +| ENgetlinknodes | Gets the indexes of a link's start- and end-nodes | +| ENgetlinktype | Retrieves a link's type | +| ENgetlinkvalue | Retrieves a property value for a link | +| ENgetnodeid | Gets the ID name of a node given its index | +| ENgetnodeindex | Gets the index of a node given its ID name | +| ENgetnodetype | Retrieves a node's type given its index | +| ENgetnodevalue | Retrieves a property value for a node | +| ENgetnumdemands | Retrieves the number of demand categories for a junction node | +| ENgetoption | Retrieves the value of an analysis option | +| ENgetpatternid | Retrieves the ID name of a time pattern given its index | +| ENgetpatternindex | Retrieves the index of a time pattern given its ID name | +| ENgetpatternlen | Retrieves the number of time periods in a time pattern | +| ENgetpatternvalue | Retrieves a time pattern's factor for a given time period | +| ENgetpremise | Gets the properties of a premise in a rule-based control | +| ENgetpumptype | Retrieves the type of head curve used by a pump | +| ENgetqualinfo | Gets information about the type of water quality analysis requested | +| ENgetqualtype | Retrieves the type of water quality analysis to be run | +| ENgetresultindex | Retrieves the order in which a node or link appears in an output file | +| ENgetrule | Retrieves summary information about a rule-based control | +| ENgetruleID | Gets the ID name of a rule-based control given its index | +| ENgetstatistic | Retrieves a particular simulation statistic | +| ENgetthenaction | Gets the properties of a THEN action in a rule-based control | +| ENgettimeparam | Retrieves the value of a time parameter | +| ENgettitle | Retrieves the title lines of the project | +| ENgetversion | Retrieves the toolkit API version number | +| ENgetvertex | Retrieves the coordinate's of a vertex point assigned to a link | +| ENgetvertexcount | Retrieves the number of internal vertex points assigned to a link | +| ENinit | Initializes an EPANET project | +| ENinitH | Initializes a network prior to running a hydraulic analysis | +| ENinitQ | Initializes a network prior to running a water quality analysis | +| ENnextH | Determines the length of time until the next hydraulic event occurs in an extended period simulation | +| ENnextQ | Advances a water quality simulation over the time until the next hydraulic event | +| ENopen | Opens an EPANET input file & reads in network data | +| ENopenH | Opens a project's hydraulic solver | +| ENopenQ | Opens a project's water quality solver | +| ENreport | Writes simulation results in a tabular format to a project's report file | +| ENresetreport | Resets a project's report options to their default values | +| ENrunH | Computes a hydraulic solution for the current point in time | +| ENrunQ | Makes hydraulic and water quality results at the start of the current time period available to a project's water quality solver | +| ENsaveH | Transfers a project's hydraulics results from its temporary hydraulics file to its binary output file, where results are only reported at uniform reporting intervals | +| ENsavehydfile | Saves a project's temporary hydraulics file to disk | +| ENsaveinpfile | Saves a project's data to an EPANET-formatted text file | +| ENsetbasedemand | Sets the base demand for one of a node's demand categories | +| ENsetcomment | Sets a comment to a specific index | +| ENsetcontrol | Sets the properties of an existing simple control | +| ENsetcoord | Sets the (x,y) coordinates of a node | +| ENsetcurve | Assigns a set of data points to a curve | +| ENsetcurveid | Changes the ID name of a data curve given its index | +| ENsetcurvevalue | Sets the value of a single data point for a curve | +| ENsetdemandmodel | Sets the Type of demand model to use and its parameters | +| ENsetdemandname | Assigns a name to a node's demand category | +| ENsetdemandpattern | Sets the index of a time pattern used for one of a node's demand categories | +| ENsetelseaction | Sets the properties of an ELSE action in a rule-based control | +| ENsetflowunits | Sets a project's flow units | +| ENsetheadcurveindex | Assigns a curve to a pump's head curve | +| ENsetjuncdata | Sets a group of properties for a junction node | +| ENsetlinkid | Changes the ID name of a link | +| ENsetlinknodes | Sets the indexes of a link's start- and end-nodes | +| ENsetlinktype | Changes a link's type | +| ENsetlinkvalue | Sets a property value for a link | +| ENsetnodeid | Changes the ID name of a node | +| ENsetnodevalue | Sets a property value for a node | +| ENsetoption | Sets the value for an anlysis option | +| ENsetpattern | Sets the pattern factors for a given time pattern | +| ENsetpatternid | Changes the ID name of a time pattern given its index | +| ENsetpatternvalue | Sets a time pattern's factor for a given time period | +| ENsetpipedata | Sets a group of properties for a pipe link | +| ENsetpremise | Sets the properties of a premise in a rule-based control | +| ENsetpremiseindex | Sets the index of an object in a premise of a rule-based control | +| ENsetpremisestatus | Sets the status being compared to in a premise of a rule-based control | +| ENsetpremisevalue | Sets the value in a premise of a rule-based control | +| ENsetqualtype | Sets the type of water quality analysis to run | +| ENsetreport | Processes a reporting format command | +| ENsetrulepriority | Sets the priority of a rule-based control | +| ENsetstatusreport | Sets the level of hydraulic status reporting | +| ENsettankdata | Sets a group of properties for a tank node | +| ENsetthenaction | Sets the properties of a THEN action in a rule-based control | +| ENsettimeparam | Sets the value of a time parameter | +| ENsettitle | Sets the title lines of the project | +| ENsetvertices | Assigns a set of internal vertex points to a link | +| ENsolveH | Runs a complete hydraulic simulation with results for all time periods written to a temporary hydraulics file | +| ENsolveQ | Runs a complete water quality simulation with results at uniform reporting intervals written to the project's binary output file | +| ENstepQ | Advances a water quality simulation by a single water quality time step | +| ENusehydfile | Uses a previously saved binary hydraulics file to supply a project's hydraulics | +| ENwriteline | Writes a line of text to a project's report file | + +## List of EPANET MSX Functions API (.msx) + +| Function | Description | +|--------------------|------------------------------------------------------------------------------------------------------------------------------------------| +| MSXaddpattern | Adds a new empty MSX source time pattern to an MSX project | +| MSXclose | Close .msx file | +| MSXerror | Retrieves the MSX erorr message for specific erorr code | +| MSXgetID | Retrieves the ID name of an object given its internal index number | +| MSXgetIDlen | Retrieves the number of characters in the ID name of an MSX object given its internal index number | +| MSXgetconstant | Retrieves the value of a particular rection constant | +| MSXgetcount | Retrieves the number of objects of a specific type | +| MSXgeterror | Returns the text for an error message given its error code | +| MSXgetindex | Retrieves the number of objects of a specific type | +| MSXgetinitqual | Retrieves the intial concetration of a particular chemical species assigned to a specific node or link of the pipe network | +| MSXgetparameter | Retrieves the value of a particular reaction parameter for a given pipe | +| MSXgetpatternlen | Retrieves the number of time periods within a source time pattern | +| MSXgetpatternvalue | Retrieves the multiplier at a specific time period for a given source time pattern | +| MSXgetqual | Retrieves a chemical species concentration at a given node or the average concentration along a link at the current sumulation time step | +| MSXgetsource | Retrieves information on any external source of a particular chemical species assigned to a specific node or link of the pipe network | +| MSXgetspecies | Retrieves the attributes of a chemical species given its internal index number | +| MSXinit | Initialize the MSX system before solving for water quality results in the step-wise fashion | +| loadMSXFile | Loads an msx file | +| MSXopen | Opens .MSX file | +| MSXreport | Writes water quality simulations results as instructed by MSX input file to a text file | +| MSXsavemsxfile | Saves the data associated with the current MSX project into a new MSX input file | +| MSXsaveoutfile | Saves water quality results computed for each node, link and reporting time period to a named binary file | +| MSXsetconstant | Assigns a new value to a specific reaction constant | +| MSXsetinitqual | Assigns an initial concetration of a particular chemical species node or link of the pipe network | +| MSXsetparameter | Assigns a value to a particular reaction parameter for a given pipe or tank within the pipe network | +| MSXsetpattern | Assigns a new set of multipliers to a given MSX source time pattern | +| MSXsetpatternvalue | Assigns a new value to the multiplier for a specific time period in a given MSX source time pattern | +| MSXsetsource | Sets the attributes of an external source of particular chemical species to specific node of the pipe network | +| MSXsolveH | Solves for system hydraulics over the entire simulation period saving results to an internal scratch file | +| MSXsolveQ | Solves for water quality over the entire simulation period and saves the results to an internal scratch file | +| MSXstep | Advances the water quality solution through a single water quality time step when performing a step-wise simulation | +| MSXusehydfile | Uses a previously saved EPANET hydraulics file as the source of hydraulic information | + + + +## List of EPANET 2.3 Functions API + +| Function | Description | +|---------------------|----------------------------------------------------------------------------------------------| +| ENgetcontrolenabled | Retrieves the enabled state of a specified control in the EPANET model. | +| ENgetlinkvalues | Retrieves property values for all links in the hydraulic model | +| ENgetruleenabled | etrieves the enabled state of a specific rule in the EPANET model using API. | +| ENloadpatternfile | loads time patterns from a file into a project under a specific pattern ID using API | +| ENopenX | enable the opening of input files with formatting errors through the API | +| ENsetcontrolenabled | Sets the control state to either enable or disable in the EPANET model usin API. | +| ENsetcurvetype | Sets the type of a specified curve in the EPANET model using API. | +| ENsetruleenabled | Enables a specific rule in the EPANET model using API. | +| ENsetvertex | Sets the coordinates of a vertex point in a link within the EPANET model using API. | +| ENtimetonextevent | Determines the type of event that will cause the end of the current time step/duration/index | ↑ [Back to top](#table-of-contents) diff --git a/epyt/epanet.py b/epyt/epanet.py index edd10ff..c55fa55 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -386,7 +386,7 @@ def __init__(self): MSX_FLOWPACED = 3 -def safe_delete(file): +def _safe_delete(file): if isinstance(file, list): for file_path in file: if os.path.exists(file_path): @@ -569,16 +569,16 @@ def __getattribute__(self, function_id): attr = super().__getattribute__(function_id) if callable(attr) and not function_id.startswith("__") and not function_id.startswith("_") and not function_id.startswith("EN"): - # Create a wrapper function to include additional actions - def wrapper(*args, **kwargs): + # Create a _wrapper function to include additional actions + def _wrapper(*args, **kwargs): result = attr(*args, **kwargs) # Check for API error code after the method call - if hasattr(self, 'api') and self.api.errcode != 0 and function_id != "logFunctionError" and function_id !="getError": + if hasattr(self, 'api') and self.api.errcode != 0 and function_id != "_logFunctionError" and function_id !="getError": # Log function error by passing the function name message = self.api.ENgeterror(self.api.errcode) - self.logFunctionError(function_id, message) + self._logFunctionError(function_id, message) #if you want to chase the error uncomment """ print(self.api.errcode) @@ -587,7 +587,7 @@ def wrapper(*args, **kwargs): return result - return wrapper # Return the wrapped function + return _wrapper # Return the wrapped function return attr # Return the attribute directly if not callable @@ -722,7 +722,7 @@ def __init__(self, *argv, version=2.2, ph=False, loadfile=False, customlib=None, self.LibEPANET = self.api.LibEPANET if self.display_msg: print(f'Input File {self.netName} loaded successfully.\n') - if not self.isConnected(): + if not self._isConnected(): warnings.warn("The network is not fully connected, one or more link(s) are missing.",UserWarning) def addControls(self, control, *argv): @@ -2460,7 +2460,7 @@ def getComputedTimeSeries(self): self.saveInputFile(self.TempInpFile) [fid, binfile, _] = self.runEPANETexe() if fid is False: # temporary. - value_final = self.getComputedTimeSeries_ENepanet() + value_final = self._getComputedTimeSeries_ENepanet() return value_final value = self.__readEpanetBin(fid, binfile, 0) value.WarnFlag = False @@ -2490,7 +2490,7 @@ def getComputedTimeSeries(self): value_final.Status = value_final.Status.astype(int) return value_final - def getComputedTimeSeries_ENepanet(self, tempfile=None, binfile=None, rptfile=None): + def _getComputedTimeSeries_ENepanet(self, tempfile=None, binfile=None, rptfile=None): """ Run analysis using ENepanet function """ if tempfile is not None: @@ -9558,7 +9558,7 @@ def setOptionsPressureUnitsMeters(self): d.setOptionsPressureUnitsMeters() x = d.getOptionsPressureUnits() """ - self.ErrorinChangingMetric("KPA AND METERS","setOptionsPressureUnitsMeters") + self._ErrorinChangingMetric("KPA AND METERS","setOptionsPressureUnitsMeters") return self.setOptionsPressureUnits(self.ToolkitConstants.EN_METERS) def setOptionsPressureUnitsPSI(self): @@ -9572,7 +9572,7 @@ def setOptionsPressureUnitsPSI(self): d.setOptionsPressureUnitsPSI() x = d.getOptionsPressureUnits() """ - self.ErrorinChangingMetric("PSI", "setOptionsPressureUnitsPSI") + self._ErrorinChangingMetric("PSI", "setOptionsPressureUnitsPSI") return self.setOptionsPressureUnits(self.ToolkitConstants.EN_PSI) def setOptionsPressureUnitsKPA(self): @@ -9586,7 +9586,7 @@ def setOptionsPressureUnitsKPA(self): d.setOptionsPressureUnitsKPA() x = d.getOptionsPressureUnits() """ - self.ErrorinChangingMetric("KPA AND METERS","setOptionsPressureUnitsKPA") + self._ErrorinChangingMetric("KPA AND METERS","setOptionsPressureUnitsKPA") return self.setOptionsPressureUnits(self.ToolkitConstants.EN_KPA) @@ -10930,13 +10930,13 @@ def unload(self): self.api.ENclose() finally: try: - safe_delete(self.TempInpFile) + _safe_delete(self.TempInpFile) files_to_delete = [self.TempInpFile[0:-4] + '.txt', self.InputFile[0:-4] + '.txt', self.BinTempfile] for file in files_to_delete: - safe_delete(file) + _safe_delete(file) for file in Path(".").glob("@#*.txt"): - safe_delete(file) + _safe_delete(file) arch = sys.platform if arch == 'win64' or arch == 'win32': @@ -10950,7 +10950,7 @@ def unload(self): "." not in f ] tmp_files_paths = [os.path.join(cwd, f) for f in tmp_files] - safe_delete(tmp_files_paths) + _safe_delete(tmp_files_paths) except: pass if self.display_msg: @@ -11837,7 +11837,7 @@ def unloadMSX(self): if arch == 'win64' or arch == 'win32': msx_temp_files = list(filter(lambda f: os.path.isfile(os.path.join(os.getcwd(), f)) and f.startswith("msx") and "." not in f, os.listdir(os.getcwd()))) - safe_delete(msx_temp_files) + _safe_delete(msx_temp_files) print('EPANET-MSX Toolkit is unloaded.') def getMSXSpeciesCount(self): @@ -11935,6 +11935,7 @@ def solveMSXCompleteQuality(self): self.msx.MSXsolveQ() def writeMSXReport(self): + """Writes msx report""" self.msx.MSXreport() def useMSXHydraulicFile(self, hydname): @@ -12581,7 +12582,7 @@ def getMSXSpeciesUnits(self, varagin=None): value.append(y[1]) return value - def getEquations(self): + def _getEquations(self): msxname = self.MSXTempFile Terms = {} Pipes = {} @@ -12645,7 +12646,7 @@ def getMSXEquationsTerms(self): d.getMSXEquationsTerms() See also getMSXEquationsPipes, getMSXEquationsTanks.""" - x, y, z = self.getEquations() + x, y, z = self._getEquations() x = list(x.values()) return x @@ -12658,7 +12659,7 @@ def getMSXEquationsPipes(self): d.getMSXEquationsPipes() See also getMSXEquationsTerms, getMSXEquationsTanks.""" - x, y, z = self.getEquations() + x, y, z = self._getEquations() y = list(y.values()) return y @@ -12671,7 +12672,7 @@ def getMSXEquationsTanks(self): d.getMSXEquationsTanks() See also getMSXEquationsTerms, getMSXEquationsPipes.""" - x, y, z = self.getEquations() + x, y, z = self._getEquations() z = list(z.values()) return z @@ -12931,7 +12932,7 @@ def getMSXSourceNodeNameID(self): nodes.append(i) return nodes - def changeMSXOptions(self, param, change): + def _changeMSXOptions(self, param, change): options_section = 'options_section.msx' self.saveMSXFile(options_section) @@ -12972,7 +12973,7 @@ def setMSXAreaUnitsCM2(self): d.getMSXAreaUnits() See also setMSXAreaUnitsFT2, setMSXAreaUnitsM2.""" - self.changeMSXOptions("AREA_UNITS", "CM2") + self._changeMSXOptions("AREA_UNITS", "CM2") def setMSXAreaUnitsFT2(self): """ Sets the area units to square feet. @@ -12987,7 +12988,7 @@ def setMSXAreaUnitsFT2(self): d.getMSXAreaUnits() See also setMSXAreaUnitsM2, setMSXAreaUnitsCM2.""" - self.changeMSXOptions("AREA_UNITS", "FT2") + self._changeMSXOptions("AREA_UNITS", "FT2") def setMSXAreaUnitsM2(self): """ Sets the area units to square meters. @@ -13002,7 +13003,7 @@ def setMSXAreaUnitsM2(self): d.getMSXAreaUnits() See also setMSXAreaUnitsFT2, setMSXAreaUnitsCM2.""" - self.changeMSXOptions("AREA_UNITS", "M2") + self._changeMSXOptions("AREA_UNITS", "M2") def setMSXAtol(self, value): """ Sets the absolute tolerance used to determine when two concentration levels of a @@ -13019,7 +13020,7 @@ def setMSXAtol(self, value): d.getMSXAtol() % See also setMSXRtol.""" - self.changeMSXOptions("ATOL", value) + self._changeMSXOptions("ATOL", value) def setMSXRtol(self, value): """Sets the relative accuracy level on a species’ concentration @@ -13035,7 +13036,7 @@ def setMSXRtol(self, value): d.getMSXRtol() See also setMSXAtol.""" - self.changeMSXOptions("RTOL", value) + self._changeMSXOptions("RTOL", value) def setMSXCompilerGC(self): """ Sets chemistry function compiler code to GC. @@ -13048,7 +13049,7 @@ def setMSXCompilerGC(self): d.getMSXCompiler() See also setMSXCompilerNONE, setMSXCompilerVC.""" - self.changeMSXOptions("COMPILER", "GC") + self._changeMSXOptions("COMPILER", "GC") def setMSXCompilerVC(self): """ Sets chemistry function compiler code to VC. @@ -13061,7 +13062,7 @@ def setMSXCompilerVC(self): d.getMSXCompiler() See also setMSXCompilerNONE, setMSXCompilerGC.""" - self.changeMSXOptions("COMPILER", "VC") + self._changeMSXOptions("COMPILER", "VC") def setMSXCompilerNONE(self): """ Sets chemistry function compiler code to NONE. @@ -13074,7 +13075,7 @@ def setMSXCompilerNONE(self): d.getMSXCompiler() See also setMSXCompilerVC, setMSXCompilerGC.""" - self.changeMSXOptions("COMPILER", "NONE") + self._changeMSXOptions("COMPILER", "NONE") def setMSXCouplingFULL(self): """ Sets coupling to FULL. @@ -13093,7 +13094,7 @@ def setMSXCouplingFULL(self): d.getMSXCoupling() See also setMSXCouplingNONE.""" - self.changeMSXOptions("COUPLING", "FULL") + self._changeMSXOptions("COUPLING", "FULL") def setMSXCouplingNONE(self): """ Sets coupling to NONE. @@ -13112,7 +13113,7 @@ def setMSXCouplingNONE(self): d.getMSXCoupling() See also setMSXCouplingFULL.""" - self.changeMSXOptions("COUPLING", "NONE") + self._changeMSXOptions("COUPLING", "NONE") def setMSXRateUnitsDAY(self): """ Sets the rate units to days. @@ -13128,7 +13129,7 @@ def setMSXRateUnitsDAY(self): See also setMSXRateUnitsSEC, setMSXRateUnitsMIN setMSXRateUnitsHR.""" - self.changeMSXOptions("RATE_UNITS", "DAY") + self._changeMSXOptions("RATE_UNITS", "DAY") def setMSXRateUnitsHR(self): """ Sets the rate units to hours. @@ -13144,7 +13145,7 @@ def setMSXRateUnitsHR(self): See also setMSXRateUnitsSEC, setMSXRateUnitsMIN setMSXRateUnitsDAY.""" - self.changeMSXOptions("RATE_UNITS", "HR") + self._changeMSXOptions("RATE_UNITS", "HR") def setMSXRateUnitsMIN(self): """ Sets the rate units to minutes. @@ -13160,7 +13161,7 @@ def setMSXRateUnitsMIN(self): See also setMSXRateUnitsSEC, setMSXRateUnitsHR, setMSXRateUnitsDAY.""" - self.changeMSXOptions("RATE_UNITS", "MIN") + self._changeMSXOptions("RATE_UNITS", "MIN") def setMSXRateUnitsSEC(self): """ Sets the rate units to seconds. @@ -13176,7 +13177,7 @@ def setMSXRateUnitsSEC(self): See also setMSXRateUnitsMIN, setMSXRateUnitsHR, setMSXRateUnitsDAY.""" - self.changeMSXOptions("RATE_UNITS", "SEC") + self._changeMSXOptions("RATE_UNITS", "SEC") def setMSXSolverEUL(self): """ Sets the numerical integration method to solve the reaction @@ -13192,7 +13193,7 @@ def setMSXSolverEUL(self): d.getMSXSolver() See also setMSXSolverRK5, setMSXSolverROS2.""" - self.changeMSXOptions("SOLVER", "EUL") + self._changeMSXOptions("SOLVER", "EUL") def setMSXSolverRK5(self): """ Sets the numerical integration method to solve the reaction @@ -13208,7 +13209,7 @@ def setMSXSolverRK5(self): d.getMSXSolver() % See also setMSXSolverEUL, setMSXSolverROS2.""" - self.changeMSXOptions("SOLVER", "RK5") + self._changeMSXOptions("SOLVER", "RK5") def setMSXSolverROS2(self): """ Sets the numerical integration method to solve the reaction @@ -13224,7 +13225,7 @@ def setMSXSolverROS2(self): d.getMSXSolver() See also setMSXSolverEUL, setMSXSolverRK5.""" - self.changeMSXOptions("SOLVER", "ROS2") + self._changeMSXOptions("SOLVER", "ROS2") def setMSXTimeStep(self, value): """ Sets the time step. @@ -13239,7 +13240,7 @@ def setMSXTimeStep(self, value): d.getMSXTimeStep() See also getMSXTimeStep.""" - self.changeMSXOptions("TIMESTEP", value) + self._changeMSXOptions("TIMESTEP", value) def setMSXPatternValue(self, index, patternTimeStep, patternFactor): """ Sets the pattern factor for an index for a specific time step. @@ -14256,9 +14257,15 @@ def setRuleEnabled(self, index, enabled): def openX(self, inpFile, rptFile, outFile): + """Enable the opening of input files with formatting errors""" self.api.ENopenX(inpFile, rptFile, outFile) def loadPatternFile(self, filename, id): + """/*---------------------------------------------------------------- + ** Input: filename = name of the file containing pattern data + ** id = ID for the new pattern + ** Purpose: loads time patterns from a file into a project under a specific pattern ID + **----------------------------------------------------------------""" self.api.ENloadpatternfile(filename, id) def getLinkValues(self, property): @@ -14590,18 +14597,18 @@ def getNodeLeakageFlow(self, index): return self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_LEAKAGEFLOW) - def isConnected(self): + def _isConnected(self): """Checks if the water network is fully connected""" matrix = self.getConnectivityMatrix() n = len(matrix) visited = [False] * n - def dfs(node): + def _dfs(node): visited[node] = True for neighbor in range(n): if matrix[node][neighbor] == 1 and not visited[neighbor]: - dfs(neighbor) - dfs(0) + _dfs(neighbor) + _dfs(0) if all(visited): return True else: @@ -14750,7 +14757,7 @@ def getNodeInControl(self, *args): results.append(int(self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_NODE_INCONTROL))) return results - def logFunctionError(self, nameofFunction, message): + def _logFunctionError(self, nameofFunction, message): """Notifies the user where the error is coming from with red text.""" # ANSI escape code for red text @@ -14759,11 +14766,11 @@ def logFunctionError(self, nameofFunction, message): print(f"{red_text}UserWarning: Error in function: {nameofFunction},{message}{reset_text}") - def ErrorinChangingMetric(self, wanted, nameofFunction): + def _ErrorinChangingMetric(self, wanted, nameofFunction): "Checks if the metric change is not possible and suggest possbile solutions" red_text = "\033[91m" reset_text = "\033[0m" - current = self.FlowUnitsCheck() + current = self._FlowUnitsCheck() if current == "PSI" and wanted == "KPA AND METERS": print(f"{red_text}UserWarning: Error in function: {nameofFunction}, the function didnt change the metric Please change" f" the metric using one of the following:\n " @@ -14785,7 +14792,7 @@ def ErrorinChangingMetric(self, wanted, nameofFunction): f" 5. setFlowUnitsGPM() -> Gallons per minute \n{reset_text}") - def FlowUnitsCheck(self): + def _FlowUnitsCheck(self): "Returns the Metric of the system" flowunits = self.getFlowUnits() if flowunits == "MDG" or flowunits == "IMGD" or flowunits == "CFS" or flowunits == "CFS" or flowunits == "GPM": @@ -15666,8 +15673,6 @@ def ENgetlinkvalues(self, property): def ENloadpatternfile(self, filename, id): """ Input: filename = name of the file containing pattern data id = ID for the new pattern - Output: none - Returns: error code Purpose: loads time patterns from a file into a project under a specific pattern ID""" self.patternfile = bytes(filename, 'utf-8') if self._ph is not None: @@ -18298,7 +18303,7 @@ def MSXaddpattern(self, pattern_id): Warning(self.MSXerror(err)) def MSXusehydfile(self, filename): - """ """ + """ Uses hyd file """ err = self.msx_lib.MSXusehydfile(filename.encode()) if err: Warning(self.MSXerror(err)) From 8cace5a952b911a693987f30ab9e7158174bd755 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Mon, 7 Oct 2024 19:20:40 +0300 Subject: [PATCH 121/183] typo in readme --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index d0e8667..a9ffe90 100644 --- a/README.md +++ b/README.md @@ -561,7 +561,7 @@ If you want to contribute, please check out our [Code of Conduct](https://github | setRuleElseAction | Sets rule - based control else actions | | setRuleEnabled | Enables a specific rule in the EPANET model | | setRulePremise | Sets the premise of a rule - based control | -| setRulePremiseObejctNameID | Sets the ID of an object in a premise of a rule-based control | +| setRulePremiseObjectNameID | Sets the ID of an object in a premise of a rule-based control | | setRulePremiseStatus | Sets the status being compared to in a premise of a rule-based control | | setRulePremiseValue | Sets the value being compared to in a premise of a rule-based control | | setRulePriority | Sets rule - based control priority | From 87b0576801d4165bed159b83ab7add635549ef4b Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Mon, 7 Oct 2024 19:25:41 +0300 Subject: [PATCH 122/183] private function --- epyt/epanet.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index c55fa55..4235846 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -13834,13 +13834,13 @@ def getAllAttributes(self, obj): """ attributes = [] - def recurse_attrs(obj): + def _recurse_attrs(obj): for k, v in obj.__dict__.items(): attributes.append((k, v)) if hasattr(v, '__dict__'): - recurse_attrs(v) + _recurse_attrs(v) - recurse_attrs(obj) + _recurse_attrs(obj) return attributes def getMethods(self): From 22ca820ed0557c807b5b67b77603b23d6a557d94 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 8 Oct 2024 09:59:08 +0300 Subject: [PATCH 123/183] Users will now be able to see the line of error in their code, along with a link. --- epyt/epanet.py | 27 ++++++++++++++++----------- 1 file changed, 16 insertions(+), 11 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 4235846..f0cea05 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -83,6 +83,7 @@ import sys import os import re +import traceback class ToolkitConstants: @@ -571,25 +572,29 @@ def __getattribute__(self, function_id): if callable(attr) and not function_id.startswith("__") and not function_id.startswith("_") and not function_id.startswith("EN"): # Create a _wrapper function to include additional actions def _wrapper(*args, **kwargs): + result = attr(*args, **kwargs) # Call the actual function - result = attr(*args, **kwargs) - - # Check for API error code after the method call - if hasattr(self, 'api') and self.api.errcode != 0 and function_id != "_logFunctionError" and function_id !="getError": + if hasattr(self, 'api') and self.api.errcode != 0 and function_id != "_logFunctionError" and function_id != "getError": # Log function error by passing the function name message = self.api.ENgeterror(self.api.errcode) self._logFunctionError(function_id, message) - #if you want to chase the error uncomment - """ - print(self.api.errcode) - err = self.getError(self.api.errcode) - print(err)""" + + # Capture the current stack to find where the function was called and where the error happened + tb_lines = traceback.extract_stack() + red_text = "\033[91m" + reset_text = "\033[0m" + + if len(tb_lines) >= 2: + # This is where the function was called from (main program) + caller_line = tb_lines[-2] + caller_output = f"{caller_line.filename}:{red_text}{caller_line.lineno}, line {caller_line.lineno}: {caller_line.line}{reset_text}" + print(f"{caller_output}") return result - return _wrapper # Return the wrapped function + return _wrapper - return attr # Return the attribute directly if not callable + return attr def __init__(self, *argv, version=2.2, ph=False, loadfile=False, customlib=None, display_msg=True, display_warnings=True): From acf80da1ceb0d38bc09914a544deb40337341d67 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 8 Oct 2024 10:56:08 +0300 Subject: [PATCH 124/183] fix :memory violation error with changeMSXOptions --- epyt/epanet.py | 21 ++++++++++++++++----- 1 file changed, 16 insertions(+), 5 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index f0cea05..33a3a10 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -569,7 +569,8 @@ def __getattribute__(self, function_id): # Call the superclass's __getattribute__ to retrieve the attribute attr = super().__getattribute__(function_id) - if callable(attr) and not function_id.startswith("__") and not function_id.startswith("_") and not function_id.startswith("EN"): + if callable(attr) and not function_id.startswith("__") and not function_id.startswith("_") and not function_id.startswith("EN")\ + and not function_id.startswith("printv")and not function_id.startswith("MSX"): # Create a _wrapper function to include additional actions def _wrapper(*args, **kwargs): result = attr(*args, **kwargs) # Call the actual function @@ -4263,7 +4264,7 @@ def getNodeComment(self, *argv): value.append(self.api.ENgetcomment(self.ToolkitConstants.EN_NODE, i)) return value - def getNodeCoordinates(self, *argv): + def getNodeCoordinates(self, *argv, init = 0): # GET VERTICES vertices = self.getLinkVertices() # SET X Y node coordinates @@ -4275,6 +4276,8 @@ def getNodeCoordinates(self, *argv): for i in indices: vx.append(self.api.ENgetcoord(i)[0]) vy.append(self.api.ENgetcoord(i)[1]) + if init ==1: + self.api.errcode = 0 if len(argv) == 0: vxx, vyy = {}, {} for i in indices: @@ -11323,7 +11326,7 @@ def __getInitParams(self): self.Iterations = n.Iterations # Iterations to reach solution units = self.getUnits() # Get all units of the network parameters - self.NodeCoordinates = self.getNodeCoordinates() # Coordinates for each node + self.NodeCoordinates = self.getNodeCoordinates(init=1) # Coordinates for each node # (long/lat & intermediate pipe coordinates) self.Version = self.getVersion() @@ -12957,13 +12960,21 @@ def _changeMSXOptions(self, param, change): f.writelines(lines) f.truncate() - self.msx.MSXclose() + try: + self.msx.MSXclose() + except: + pass + copyfile(options_section, self.MSXTempFile) + try: + self.loadMSXEPANETFile(self.MSXTempFile) + except: + pass try: os.remove(options_section) except: pass - self.loadMSXEPANETFile(self.MSXTempFile) + def setMSXAreaUnitsCM2(self): """ Sets the area units to square centimeters. From e7bd168438eb0abb560b76c14e3bbb1ec9e206bb Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 8 Oct 2024 12:28:34 +0300 Subject: [PATCH 125/183] typofix --- epyt/epanet.py | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 33a3a10..12ab62c 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -6500,12 +6500,12 @@ def getTimeReportingPeriods(self): """ return self.api.ENgettimeparam(self.ToolkitConstants.EN_PERIODS) - def getTimeStartClockStartTime(self): + def getTimeClockStartTime(self): """ Retrieves the simulation starting time of day. Example: - >>> d.getTimeStartClockStartTime() + >>> d.getTimeClockStartTime() See also getTimeSimulationDuration, getTimePatternStart. """ @@ -6540,7 +6540,7 @@ def getTimeHaltFlag(self): >>> d.getTimeHaltFlag() - See also getTimeStartClockStartTime, getTimeSimulationDuration. + See also getTimeClockStartTime, getTimeSimulationDuration. """ return self.api.ENgettimeparam(self.ToolkitConstants.EN_HALTFLAG) @@ -10242,7 +10242,7 @@ def setTimeSimulationDuration(self, value): >>> d.setTimeSimulationDuration(simulationDuration) >>> d.getTimeSimulationDuration() - See also getTimeSimulationDuration(), getTimeStartClockStartTime(), getTimeHaltFlag(). + See also getTimeSimulationDuration(), getTimeClockStartTime(), getTimeHaltFlag(). """ self.api.ENsettimeparam(self.ToolkitConstants.EN_DURATION, value) @@ -11313,7 +11313,7 @@ def __getInitParams(self): self.TimeStatisticsType = self.getTimeStatisticsType() # Type ('NONE', 'AVERAGE', 'MINIMUM', # 'MAXIMUM', 'RANGE') self.TimeReportingPeriods = self.getTimeReportingPeriods() # Reporting periods - self.TimeStartTime = self.getTimeStartClockStartTime() # Number of start time + self.TimeStartTime = self.getTimeClockStartTime() # Number of start time self.TimeHTime = self.getTimeHTime() # Number of htime self.TimeHaltFlag = self.getTimeHaltFlag() # Number of halt flag self.TimeNextEvent = self.getTimeNextEvent() # Find the next event of the hydraulic time step length, @@ -14768,7 +14768,7 @@ def getNodeInControl(self, *args): return results else: # If it's a single index (not a list) index = args[0] - return [int(self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_NODE_INCONTROL))] + return int(self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_NODE_INCONTROL)) for index in args: results.append(int(self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_NODE_INCONTROL))) return results From e061497a0d5ec2ee1037b43816871318d2706ac9 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 8 Oct 2024 12:32:01 +0300 Subject: [PATCH 126/183] Update epanet.py --- epyt/epanet.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 12ab62c..237dae0 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -570,7 +570,7 @@ def __getattribute__(self, function_id): attr = super().__getattribute__(function_id) if callable(attr) and not function_id.startswith("__") and not function_id.startswith("_") and not function_id.startswith("EN")\ - and not function_id.startswith("printv")and not function_id.startswith("MSX"): + and not function_id.startswith("printv")and not function_id.startswith("MSX")and not function_id.startswith("test"): # Create a _wrapper function to include additional actions def _wrapper(*args, **kwargs): result = attr(*args, **kwargs) # Call the actual function From ec38a6cc6c60aeccf0ee07c4dd7586f363b82414 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 8 Oct 2024 13:02:58 +0300 Subject: [PATCH 127/183] fix in genral unit test --- epyt/epanet.py | 5 +++-- epyt/tests/general_unit_test.py | 28 +++++++++++++--------------- 2 files changed, 16 insertions(+), 17 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 237dae0..00f1555 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -2466,7 +2466,7 @@ def getComputedTimeSeries(self): self.saveInputFile(self.TempInpFile) [fid, binfile, _] = self.runEPANETexe() if fid is False: # temporary. - value_final = self._getComputedTimeSeries_ENepanet() + value_final = self.getComputedTimeSeries_ENepanet() return value_final value = self.__readEpanetBin(fid, binfile, 0) value.WarnFlag = False @@ -2496,7 +2496,7 @@ def getComputedTimeSeries(self): value_final.Status = value_final.Status.astype(int) return value_final - def _getComputedTimeSeries_ENepanet(self, tempfile=None, binfile=None, rptfile=None): + def getComputedTimeSeries_ENepanet(self, tempfile=None, binfile=None, rptfile=None): """ Run analysis using ENepanet function """ if tempfile is not None: @@ -4661,6 +4661,7 @@ def getNodeMassFlowRate(self, *argv): value.append(temp_val) else: value.append(None) + self.api.errcode = 0 return np.array(value) def getNodePatternIndex(self, *argv): diff --git a/epyt/tests/general_unit_test.py b/epyt/tests/general_unit_test.py index f61f9ff..d96cccf 100644 --- a/epyt/tests/general_unit_test.py +++ b/epyt/tests/general_unit_test.py @@ -668,16 +668,16 @@ def test_getCurvesData(self): """ ---getCurveType--- """ err_msg = 'Wrong curve type' # Test 10 - self.assertEqual(d.getCurveType(10), 'PUMP', err_msg) + self.assertEqual(d.getCurveType(10), 'GENERAL', err_msg) # Test 11 - self.assertEqual(d.getCurveType([2, 3]), ['PUMP', 'GENERAL'], err_msg) + self.assertEqual(d.getCurveType([2, 3]), ['GENERAL', 'GENERAL'], err_msg) """ ---getCurveType--- """ err_msg = 'Wrong curve type index' # Test 11 - self.assertEqual(d.getCurveTypeIndex(10), 1, err_msg) + self.assertEqual(d.getCurveTypeIndex(10), 4, err_msg) # Test 12 - self.assertEqual(d.getCurveTypeIndex([2, 3]), [1, 4], err_msg) + self.assertEqual(d.getCurveTypeIndex([2, 3]), [4, 4], err_msg) """ ---getCurveValue--- """ err_msg = 'Wrong curve value' @@ -811,8 +811,8 @@ def test_getLinkPumpData(self): """ ---getLinkPumpType--- """ err_msg = 'Wrong Pump Type' # Test 12 - self.assertEqual(d.getLinkPumpType(), ['CUSTOM', 'CUSTOM', 'CUSTOM', 'CUSTOM', 'CUSTOM', 'CUSTOM', - 'CUSTOM', 'CONSTANT_HORSEPOWER'], + self.assertEqual(d.getLinkPumpType(), ['NO_CURVE', 'NO_CURVE', 'NO_CURVE', 'NO_CURVE', 'NO_CURVE', 'NO_CURVE', + 'NO_CURVE', 'CONSTANT_HORSEPOWER'], err_msg) """ ---getLinkPumpTypeCode--- """ @@ -820,10 +820,10 @@ def test_getLinkPumpData(self): d.unload() # Test 13 d = epanet('Richmond_skeleton.inp', ph=False) - self.assertEqual(d.getLinkPumpTypeCode(), [2, 2, 2, 2, 2, 2, 2], err_msg) + self.assertEqual(d.getLinkPumpTypeCode(), [3, 3, 3, 3, 3, 3, 3], err_msg) self.epanetClass.unload() self.epanetClass = epanet('Net1.inp', ph=False) - self.assertEqual(self.epanetClass.getLinkPumpTypeCode(), [1], err_msg) + self.assertEqual(self.epanetClass.getLinkPumpTypeCode(), [3], err_msg) def test_getLinksInfo(self): # Desired data @@ -909,8 +909,6 @@ def test_getNodeInfo(self): 'Wrong Node Emitter output') self.assertEqual(list(n_info.NodeInitialQuality), [0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 1.0, 1.0], 'Wrong Node Initial Quality output') - self.assertEqual(list(n_info.NodePatternIndex), [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0], - 'Wrong Node Pattern Index output') self.assertEqual(list(n_info.NodeSourcePatternIndex), [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'Wrong Node Source Pattern Index output') self.assertEqual(list(n_info.NodeSourceQuality), [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], @@ -951,10 +949,10 @@ def testDemandsInfo(self): # getComputedHydraulicTimeSeries.DemandDeficit works fine self.epanetClass.setDemandModel('PDA', 0, 0.1, 0.5) actual_def = self.epanetClass.getComputedHydraulicTimeSeries().DemandDeficit[0] - desired_dem_def = [0.0, -0.0012342832044413999, -0.0012111212332749546, -0.0012281893931302976, - -0.0012177492556971789, - -0.0012291126064630734, -0.0012496099800993576, -0.0011990998540248189, - -0.0011465764024330798, 0.0, 0.0] + desired_dem_def = [0.0, -0.00012342832044413999, -0.00012111212332749546, -0.00012281893931302976, + -0.00012177492556971789, + -0.00012291126064630734, -0.00012496099800993576, -0.00011990998540248189, + -0.00011465764024330798, 0.0, 0.0] np.testing.assert_array_almost_equal(list(actual_def), desired_dem_def, decimal=5) """ ---getNodeDemandPatternIndex--- """ @@ -1281,7 +1279,7 @@ def test_getTime(self): self.assertEqual(self.epanetClass.getTimeRuleControlStep(), 360, 'Wrong Time Reporting Start Output') self.assertEqual(self.epanetClass.getTimeStatisticsType(), 'NONE', 'Wrong Time Statistics Type Output') self.assertEqual(self.epanetClass.getTimeReportingPeriods(), 25, 'Wrong Time Output') - self.assertEqual(self.epanetClass.getTimeStartTime(), 0, 'Wrong Reporting Periods Output') + self.assertEqual(self.epanetClass.getTimeClockStartTime(), 0, 'Wrong Reporting Periods Output') self.assertEqual(self.epanetClass.getTimeHTime(), 86400, 'Wrong hydraulic solution Time Output') self.assertEqual(self.epanetClass.getTimeQTime(), 86400, 'Wrong quality solution Time Output') self.assertEqual(self.epanetClass.getTimeHaltFlag(), 0, 'Wrong Halt Flag Time Output') From 73d1a412a4b3f9a39755e6e289b0db89ea53281d Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 8 Oct 2024 13:53:06 +0300 Subject: [PATCH 128/183] unit_test update 2.3 --- test_unit_update23.py | 281 ++++++++++-------------------------------- 1 file changed, 67 insertions(+), 214 deletions(-) diff --git a/test_unit_update23.py b/test_unit_update23.py index 1904962..3533003 100644 --- a/test_unit_update23.py +++ b/test_unit_update23.py @@ -38,17 +38,17 @@ def test_setCurveType(self): def test_setControlEnabledandDissabled(self): - self.assertEqual( self.epanetClass.getControlEnabled(1), + self.assertEqual( self.epanetClass.getControlState(1), (1), 'Wrong Control enabled comment output') - self.epanetClass.setControlDisabled(1) + self.epanetClass.setControlEnabled(1,0) - self.assertEqual(self.epanetClass.getControlEnabled(1), + self.assertEqual(self.epanetClass.getControlState(1), (0), 'Wrong Control enabled comment output') - self.epanetClass.setControlEnabled(1) + self.epanetClass.setControlEnabled(1,1) - self.assertEqual(self.epanetClass.getControlEnabled(1), + self.assertEqual(self.epanetClass.getControlState(1), (1), 'Wrong Control enabled comment output') def test_getLinkValuesFLOW(self): @@ -70,216 +70,69 @@ def test_getLinkValuesFLOW(self): self.epanetClass.closeHydraulicAnalysis() self.assertEqual(Fb[0].tolist(), Ft[0]) #Flow check - def test_getLinkValuesHEADLOSS(self): - - self.epanetClass.openHydraulicAnalysis() - self.epanetClass.initializeHydraulicAnalysis() - - tstep = 1 - T_H, Ht, Hb = [], [], [] - - while tstep > 0: - t = self.epanetClass.runHydraulicAnalysis() - # headloss test - Ht.append(self.epanetClass.getLinkValues(self.epanetClass.ToolkitConstants.EN_HEADLOSS)) - Hb.append(self.epanetClass.getLinkHeadloss()) - T_H.append(t) - tstep = self.epanetClass.nextHydraulicAnalysisStep() - - self.epanetClass.closeHydraulicAnalysis() - self.assertEqual(Hb[0].tolist(), Ht[0]) # Headloss check - - def test_getLinkValuesVELOCITY(self): - - self.epanetClass.openHydraulicAnalysis() - self.epanetClass.initializeHydraulicAnalysis() - - tstep = 1 - T_H, Vt, Vb = [], [], [] - - while tstep > 0: - t = self.epanetClass.runHydraulicAnalysis() - # Velocity test - Vt.append(self.epanetClass.getLinkValues(self.epanetClass.ToolkitConstants.EN_VELOCITY)) - Vb.append(self.epanetClass.getLinkVelocity()) - T_H.append(t) - tstep = self.epanetClass.nextHydraulicAnalysisStep() - - self.epanetClass.closeHydraulicAnalysis() - self.assertEqual(Vb[0].tolist(), Vt[0]) # Velocity check - - def test_getLinkValuesDIAMETER(self): - - self.epanetClass.openHydraulicAnalysis() - self.epanetClass.initializeHydraulicAnalysis() - - tstep = 1 - T_H, Dt, Db = [], [], [] - - while tstep > 0: - t = self.epanetClass.runHydraulicAnalysis() - # Diameter test - Dt.append(self.epanetClass.getLinkValues(self.epanetClass.ToolkitConstants.EN_DIAMETER)) - Db.append(self.epanetClass.getLinkDiameter()) - T_H.append(t) - tstep = self.epanetClass.nextHydraulicAnalysisStep() - - self.epanetClass.closeHydraulicAnalysis() - self.assertEqual(Db[0].tolist(), Dt[0]) # Diameter check - - def test_getLinkValuesLENGTH(self): - - self.epanetClass.openHydraulicAnalysis() - self.epanetClass.initializeHydraulicAnalysis() - - tstep = 1 - T_H, Lt, Lb = [], [], [] - - while tstep > 0: - t = self.epanetClass.runHydraulicAnalysis() - # LENGTH test - Lt.append(self.epanetClass.getLinkValues(self.epanetClass.ToolkitConstants.EN_LENGTH)) - Lb.append(self.epanetClass.getLinkLength()) - T_H.append(t) - tstep = self.epanetClass.nextHydraulicAnalysisStep() - - self.epanetClass.closeHydraulicAnalysis() - self.assertEqual(Lb[0].tolist(), Lt[0]) # LENGTH check - - def test_getLinkValuesROUGHNESS(self): - - self.epanetClass.openHydraulicAnalysis() - self.epanetClass.initializeHydraulicAnalysis() - - tstep = 1 - T_H, Rt, Rb = [], [], [] - - while tstep > 0: - t = self.epanetClass.runHydraulicAnalysis() - # ROUGHNESS test - Rt.append(self.epanetClass.getLinkValues(self.epanetClass.ToolkitConstants.EN_ROUGHNESS)) - Rb.append(self.epanetClass.getLinkRoughnessCoeff()) - T_H.append(t) - tstep = self.epanetClass.nextHydraulicAnalysisStep() - - self.epanetClass.closeHydraulicAnalysis() - self.assertEqual(Rb[0].tolist(), Rt[0]) # ROUGHNESS check - - def test_getLinkValuesMINORLOSS(self): - - self.epanetClass.openHydraulicAnalysis() - self.epanetClass.initializeHydraulicAnalysis() - - tstep = 1 - T_H, Mt, Mb = [], [], [] - - while tstep > 0: - t = self.epanetClass.runHydraulicAnalysis() - # MINORLOSS test - Mt.append(self.epanetClass.getLinkValues(self.epanetClass.ToolkitConstants.EN_MINORLOSS)) - Mb.append(self.epanetClass.getLinkMinorLossCoeff()) - T_H.append(t) - tstep = self.epanetClass.nextHydraulicAnalysisStep() - - self.epanetClass.closeHydraulicAnalysis() - self.assertEqual(Mb[0].tolist(), Mt[0]) # MINORLOSS check - - def test_getLinkValuesINITSTATUS(self): - - self.epanetClass.openHydraulicAnalysis() - self.epanetClass.initializeHydraulicAnalysis() - - tstep = 1 - T_H, It, Ib = [], [], [] - - while tstep > 0: - t = self.epanetClass.runHydraulicAnalysis() - # INITSTATUS test - It.append(self.epanetClass.getLinkValues(self.epanetClass.ToolkitConstants.EN_INITSTATUS)) - Ib.append(self.epanetClass.getLinkInitialStatus()) - T_H.append(t) - tstep = self.epanetClass.nextHydraulicAnalysisStep() - - self.epanetClass.closeHydraulicAnalysis() - self.assertEqual(Ib[0].tolist(), It[0]) # INITSTATUS check - - def test_getLinkValuesINITSETTING(self): - - self.epanetClass.openHydraulicAnalysis() - self.epanetClass.initializeHydraulicAnalysis() - - tstep = 1 - T_H, It, Ib = [], [], [] - - while tstep > 0: - t = self.epanetClass.runHydraulicAnalysis() - # INITSETTING test - It.append(self.epanetClass.getLinkValues(self.epanetClass.ToolkitConstants.EN_INITSETTING)) - Ib.append(self.epanetClass.getLinkInitialSetting()) - T_H.append(t) - tstep = self.epanetClass.nextHydraulicAnalysisStep() - - self.epanetClass.closeHydraulicAnalysis() - self.assertEqual(Ib[0].tolist(), It[0]) # INITSETTING check - - def test_getLinkValuesSTATUS(self): - - self.epanetClass.openHydraulicAnalysis() - self.epanetClass.initializeHydraulicAnalysis() - - tstep = 1 - T_H, St, Sb = [], [], [] - - while tstep > 0: - t = self.epanetClass.runHydraulicAnalysis() - # STATUS test - St.append(self.epanetClass.getLinkValues(self.epanetClass.ToolkitConstants.EN_STATUS)) - Sb.append(self.epanetClass.getLinkStatus()) - T_H.append(t) - tstep = self.epanetClass.nextHydraulicAnalysisStep() - - self.epanetClass.closeHydraulicAnalysis() - self.assertEqual(Sb[0].tolist(), St[0]) # STATUS check - - def test_getLinkValuesSETTING(self): - - self.epanetClass.openHydraulicAnalysis() - self.epanetClass.initializeHydraulicAnalysis() - - tstep = 1 - T_H, St, Sb = [], [], [] - - while tstep > 0: - t = self.epanetClass.runHydraulicAnalysis() - # STATUS test - St.append(self.epanetClass.getLinkValues(self.epanetClass.ToolkitConstants.EN_SETTING)) - Sb.append(self.epanetClass.getLinkSettings()) - T_H.append(t) - tstep = self.epanetClass.nextHydraulicAnalysisStep() - - self.epanetClass.closeHydraulicAnalysis() - self.assertEqual(Sb[0].tolist(), St[0]) # SETTING check - - def test_getLinkValuesENERGY(self): - - self.epanetClass.openHydraulicAnalysis() - self.epanetClass.initializeHydraulicAnalysis() - - tstep = 1 - T_H, Et, Eb = [], [], [] - - while tstep > 0: - t = self.epanetClass.runHydraulicAnalysis() - # ENERGY test - Et.append(self.epanetClass.getLinkValues(self.epanetClass.ToolkitConstants.EN_ENERGY)) - Eb.append(self.epanetClass.getLinkEnergy()) - T_H.append(t) - tstep = self.epanetClass.nextHydraulicAnalysisStep() - - self.epanetClass.closeHydraulicAnalysis() - self.assertEqual(Eb[0].tolist(), Et[0]) # ENERGY check + def test_setVertex(self): + linkID = '10' + x = [22, 24, 28] + y = [30, 68, 69] + self.epanetClass.setLinkVertices(linkID, x, y) + self.epanetClass.setVertex(1, 1, 1, 1) + x = self.epanetClass.getLinkVertices() + self.assertEqual(x['x'][1], [1, 24, 28], 'Wrong output for setVertex ') + self.assertEqual(x['y'][1], [1, 68, 69], 'Wrong output for setVertex ') + + def test_getsetLinkValveCurvePCV(self): + linkid = self.epanetClass.getLinkPipeNameID(1) + condition = 1 + index = self.epanetClass.setLinkTypeValvePCV(linkid, condition) + self.epanetClass.setLinkValveCurvePCV(index, 1) + self.assertEqual(self.epanetClass.getLinkValveCurvePCV(index), 1,"Wrong output for set/get LinkValveCurvePCV") + + def test_getsetLinkValveCurveGPV(self): + linkid = self.epanetClass.getLinkPipeNameID(1) + condition = 1 + index = self.epanetClass.setLinkTypeValveGPV(linkid, condition) + self.epanetClass.setLinkValveCurveGPV(index, 1) + self.assertEqual(self.epanetClass.getLinkValveCurveGPV(index), 1,"Wrong output for set/get LinkValveCurveGPV") + + def test_getsetTimeClockStartTime(self): + self.assertEqual(self.epanetClass.getTimeClockStartTime(), 0,"Wrong output for get getTimeClockStartTime") + self.epanetClass.setTimeClockStartTime(3600) + self.assertEqual(self.epanetClass.getTimeClockStartTime(), 3600,"Wrong output for get getTimeClockStartTime") + + def test_getsetOptionsDemandPattern(self): + self.assertEqual(self.epanetClass.getOptionsDemandPattern(), 1,"Wrong output for get getOptionsDemandPattern") + self.epanetClass.setOptionsDemandPattern(0) + self.assertEqual(self.epanetClass.getOptionsDemandPattern(), 0,"Wrong output for get getsetOptionsDemandPattern") + + def test_setLinkTypeValvePCV(self): + linkid = self.epanetClass.getLinkPipeNameID(1) # Retrieves the ID of the 1t pipe + index = self.epanetClass.setLinkTypeValvePCV(linkid) # Changes the 1st pipe to valve PCV given it's ID + self.assertEqual(self.epanetClass.getLinkType(index), "PCV","Wrong output for setLinkTypeValvePCV") + + def test_getsetEmiterBackFLow(self): + self.assertEqual(self.epanetClass.getOptionsEmitterBackFlow(), 1, "Wrong output for getsetEmiterBackFLow") + self.epanetClass.setOptionsEmitterBackFlowDisallowed() + self.assertEqual(self.epanetClass.getOptionsEmitterBackFlow(), 0, "Wrong output for getsetEmiterBackFLow") + self.epanetClass.setOptionsEmitterBackFlowAllowed() + self.assertEqual(self.epanetClass.getOptionsEmitterBackFlow(), 1, "Wrong output for getsetEmiterBackFLow") + + def test_setLinkFlowUnitsCMS(self): + self.epanetClass.setFlowUnitsCMS() # kpa and meters + self.assertEqual(self.epanetClass.getFlowUnits(), "CMS", "Wrong output for setLinkFlowUnitsCMS") + + def test_OptionsStatusReport(self): + self.epanetClass.setOptionsStatusReportNo() + self.assertEqual(self.epanetClass.getOptionsStatusReport(), "NO REPORT", "Wrong output for OptionsStatusReport") + + self.epanetClass.setOptionsStatusReportNormal() + self.assertEqual(self.epanetClass.getOptionsStatusReport(), "NORMAL REPORT", + "Wrong output for OptionsStatusReport") + + self.epanetClass.setOptionsStatusReportFull() + self.assertEqual(self.epanetClass.getOptionsStatusReport(), "FULL REPORT", + "Wrong output for OptionsStatusReport") if __name__ == "__main__": - unittest.main() + unittest.main(), From 2bcde51c8757e38871accdc6fad7115458138d90 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 8 Oct 2024 16:12:09 +0300 Subject: [PATCH 129/183] unit test and example for new functions update 2.3 --- .../python/EX_NewFunctions_2_3_EPANET.py | 141 ++++++++++++++++++ .../tests/test_unit_update2_3.py | 0 testing.py | 4 - 3 files changed, 141 insertions(+), 4 deletions(-) create mode 100644 epyt/examples/python/EX_NewFunctions_2_3_EPANET.py rename test_unit_update23.py => epyt/tests/test_unit_update2_3.py (100%) delete mode 100644 testing.py diff --git a/epyt/examples/python/EX_NewFunctions_2_3_EPANET.py b/epyt/examples/python/EX_NewFunctions_2_3_EPANET.py new file mode 100644 index 0000000..704aa0a --- /dev/null +++ b/epyt/examples/python/EX_NewFunctions_2_3_EPANET.py @@ -0,0 +1,141 @@ +from epyt import epanet +import logging + +#inpfile = "Richmond_standard.inp" + +#Warning that a link is missing and the network is not fully connected +inpfile = "BrokenNetwork.inp" +d = epanet(inpfile) +d.unload() + +inpfile = "Net1.inp" +d = epanet(inpfile) + +#setcurvetype functions +d.setCurveTypePump(1) +d.printv(d.getCurveType(1)) +d.setCurveTypeVolume(1) +d.printv(d.getCurveType()) +d.setCurveTypeGeneral(1) +d.printv(d.getCurveType()) +d.setCurveTypeHeadloss(1) +d.printv(d.getCurveType()) +d.setCurveTypeEfficiency(1) +d.printv(d.getCurveType()) +d.setCurveTypeValveCurve(1) +d.printv(d.getCurveType()) + +# Setvertex +linkID = '10' +x = [ 22,24, 28] +y = [ 30,68, 69] +d.setLinkVertices(linkID, x, y) +x = d.getLinkVertices() +d.setVertex(1,1,1,1) +d.printv(d.getLinkVertices()) + +#set and get linkvalvecurvegpv +linkid = d.getLinkPipeNameID(1) +condition = 1 +index = d.setLinkTypeValveGPV(linkid, condition) +d.setLinkValveCurveGPV(index,1) +d.printv(d.getLinkValveCurveGPV()) + +#set and get linkvalvecurvepcv +linkid = d.getLinkPipeNameID(1) +condition = 1 +index = d.setLinkTypeValvePCV(linkid, condition) +d.setLinkValveCurvePCV(index,1) +d.printv(d.getLinkValveCurvePCV(index)) + +#setTimeClockStartTime & getTimeClockStartTime +d.printv(d.getTimeClockStartTime()) +d.setTimeClockStartTime(3600) +d.printv(d.getTimeClockStartTime()) + +# getOptionsDemandPattern()) +d.printv(d.getOptionsDemandPattern()) +d.setOptionsDemandPattern(0) +d.printv(d.getOptionsDemandPattern()) + + +# getLinkType / d.setLinkTypeValvePCV / d.addLinkValvePCV +d.getLinkType(1) # Retrieves the type of the 1st link +linkid = d.getLinkPipeNameID(1) # Retrieves the ID of the 1t pipe +index = d.setLinkTypeValvePCV(linkid) # Changes the 1st pipe to valve PCV given it's ID +print(d.getLinkType(index)) + +#addLinkValvePCV +#d.plot() +valveID = 'newValvePCV' +fromNode = '10' +toNode = '21' +valveIndex = d.addLinkValvePCV(valveID, fromNode, toNode) +#d.plot() + +#getset OptionsEmiterBackFlow +d.printv(d.getOptionsEmitterBackFlow()) +d.setOptionsEmitterBackFlowDisallowed() +d.printv(d.getOptionsEmitterBackFlow()) +d.setOptionsEmitterBackFlowAllowed() +d.printv(d.getOptionsEmitterBackFlow()) + +#getNodeInControl & getLinkInControl +d.printv(d.getLinkInControl()) +d.printv(d.getLinkInControl(10)) +d.printv(d.getNodeInControl()) +d.printv(d.getNodeInControl(11)) + +#setLinkFlowUnitsCMS +d.setFlowUnitsCMS() #kpa and meters +d.printv(d.getFlowUnits()) + + +#example with change from kpa to psi without changing metric first +d.setOptionsPressureUnitsPSI() +d.printv(d.getOptionsPressureUnits()) + +#how to do it right +d.setFlowUnitsIMGD() +d.setOptionsPressureUnitsPSI() +d.printv(d.getOptionsPressureUnits()) + + +#example with change from psi to KPA without changing the metric +d.setOptionsPressureUnitsKPA() +d.printv(d.getOptionsPressureUnits()) + +#reseting +d.setFlowUnitsGPM() +d.setOptionsPressureUnitsPSI() + +#setNodeEmitterCoeff +d.setNodeEmitterCoeff([2,3],[0.5,0.6]) +d.printv(d.getNodeEmitterCoeff()) + +#getset Optionsstatusreport +d.setOptionsStatusReportNo() +d.printv(d.getOptionsStatusReport()) +d.setOptionsStatusReportNormal() +d.printv(d.getOptionsStatusReport()) +d.setOptionsStatusReportFull() +d.printv(d.getOptionsStatusReport()) + +#Leakage section +d.solveCompleteHydraulics() + +d.setLinkLeakArea(2,10.5) +d.printv(d.getLinkLeakArea()) + +d.setLinkExpansionProperties(5,2) +d.printv(d.getLinkExpansionProperties()) + +d.printv(d.getLinkLeakageRate()) + +d.printv(d.getConsumerDemandRequested(5)) + +d.printv(d.getConsumerDemandDelivered(5)) + +d.printv(d.getNodeEmitterFlow()) + +d.unload() diff --git a/test_unit_update23.py b/epyt/tests/test_unit_update2_3.py similarity index 100% rename from test_unit_update23.py rename to epyt/tests/test_unit_update2_3.py diff --git a/testing.py b/testing.py deleted file mode 100644 index 13472ee..0000000 --- a/testing.py +++ /dev/null @@ -1,4 +0,0 @@ -from epyt import epanet - -inpfile = "Net3.inp" -d = epanet(inpfile) \ No newline at end of file From de3070c08917bfc4b79706717e3ae49acd0adb26 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 8 Oct 2024 16:41:29 +0300 Subject: [PATCH 130/183] library for linux update 2.3 --- epyt/libraries/glnx/libepanet2.so | Bin 400624 -> 441688 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/epyt/libraries/glnx/libepanet2.so b/epyt/libraries/glnx/libepanet2.so index 8e9d34195a4763ea5b1d50a93cdf5c7d655e7a05..807ec8498874a8c0f194cd5060fb2cb9892a0abb 100644 GIT binary patch literal 441688 zcmeFad0bW1_y2!TNz_zu#2Ir4H4PjREfrMsI-rn}Lm6D*A}Es#ic?-x5=08kflLc4 zl?JEMcV=0j8I);IX_#4=f=ll3Re!qWykN5GhIs5rK>#RMV zz4tli-s@uju_J0ZIT_|w+Zb#($S{2AK&Nd8fzh{f|XYToVSOVXkvK+pHs_r9O$n%POQ+_C) zwE)pFkj@LF^UQrQRhGGTq0=#s81m3THG2=C8iu*o&nu$y^nGVK&)j1gxJ@{p6#jpc zULc)U{F$szeV^1!`ZxDxdO>iWtU-DFfBQ?-X*^Bo)zl98RBm%`_C-t=ePAv}jte%x zEFZPn5OBjdW)&Ha`?^eTf3)r$V{iVAE^odtr9MTXsI;$bYoI`uUk8}<;K*2KxfE8NAuyX(9D?j46_uQocK zY*J7Q42{%O!!@T~9e1Oao8i$UGjM2b=Q>X33hl22I`^pKG1keot>5!`1-ULRegRI? zHmBMjarX6lcu6x4d%b*Pvdbus(V<_||MDTj>Gzd(52q$hzAn9uW_4=Ss#B|lOJ_gN z$;D0GoB9rQ@oF*W)t_8lU7NlbG~Kv1+$-0EAu%HT+TQ@aRc?O&Sh0Ixlmo*KcTMv6E-VI?=sd z#$|P`Wh^m<+MS+GPqEi|WcV{it+DkyR;1<*cW>U^vq_!sQ70ZVT$a_b2iol?^PHny zKdtjndzbV#mw0%kMnE+g`Axbnt2L@#XdPbXZU5?U0jUewVYaq z*RE3p)f?(NymMz?yGMAP(Cjk9#nsjR=$dy8i)$@oc$0%3Muf*hLFpD3C!?O>;@jPb zKkn;S$JN)xZfwmqoa3{7A2EhQ7a9G?#N5!%wHnzy?D6GBo>Qo^=nGhHPe2#|;YkGA zo`U@#iVuOkF9bhg+zo{=jCeTgM?e?}VHAYX5X@~1L;?uL!#;@O6KIdSU!n z_Fq6aYznY1giu8M71Q~T zL$t38`+5)>KzJBJLkNu^;O0tuj5mdNGYHKgw1D6ap*4iI5ZXiN0HGsq$K zFGIjB8}_RqtRr3z`y7hDO8X74-w5G#2)Pj6gzy#wbK3^-JP7YWc%Sqgu-^^gLkN3F z`v~?QL->^VGur3F{vd=eARH#`OV}4u9MdU+_*W2)K=_9AqqH~k@hxx(gzq5ypdC97 ze1fzeVP6X2Ct^JR6va=&{uc;k#Aj|~5dJc}d$4*Umc7ifPG_Lm`CA-)RxYY=Wi z_y!u}};gCGonFcboA!)TB3kr1~q9!2rduph(p0Emx+fNPB) zrcZ?UGsKf%{~UyA5T1t+0wELvZdTZbQ#=y(+kEez@;Q8WNkZSExbauNy;8sLfX_ES zdV9yFZf*bF`F)_mW4a+iO$tQLoQkVDL&UbKb3kltmx#M_tq~waOU<)FU%U(dZcgj!Qs8@ zTV8cJeCLaOFQ#t)W`pOyVE4`Fg1J9`J-%?(uE|-?ojzi1wAj7ZYy0hecmBLP@W6LD zpGJQ?n!EjQpIu9>zji)fr(ypl!+SSMDf6h? zYQdTF|LME&@qrsVv>x!*dd~)4QESeoe7bza7kAFCc{AYeqc=A8yf7&Lv+s|+^U~wn z?~my-z3nrXJ^FXvQ1{ekZw`Mr>*tHto_uSZPtMT%Zl%WyS8m(h zZgL;LU(UZ@cWv+jpTA%Fp-ys1o5HLi?+&_m?LQ0GPfacQCS+nz=7qbqMVH#R_dLI9 z$0y~#{S&)pVQROS50;;Le|6}1|3}+5xzoF1%jU|Ed-(x9y~i$?@onmcu*c5M>wjo# z`na{f?Y~%g@WgL#X3iY<^U34Om+t@k=Ru?Xj7qKWe)mSQ{r$>+!`mFoThnGx}u3Fy?-*Z2H+v{&N@AGcmji(0r{QAbl?^pIXH0MU;Pd6sb+VbtqerYMZ7;(Q^0Ut0x@pHm-BXGv9c(zO~{G*lZd1 zitp1SKJ}hk`th9iXFjy^jfBR_6BnMjnUFkVWT9K=pc8pZBChW4zF^(m0Ykohr`68a zmsYNDp3rLkuqu=e5Ipwo`4ou$hahn#KA0OBIUY|aT%j!El zKlt1?v!{-1zq(%cLqXeC4!#pmYu;NEE`QeTYTHkK%ShdD@9?7Mr{;Z_*Jj??UvIwR zwz+KnFpt9J4SsZOxnyd)o%NP~;dkTi@ka*ja>;ya?8yZMZYgE%{hr;uwo9vzidL-r ze&~?XZTg))mD+OGPsc7b8FbWb$f=(r$_{0fJ>GT4@@><1G->teqpyd}EZ#oNd0^k! z`!lC?+ja5S-9xqJ1+UyR`_JkA+x}S5uI+bW(SOaIawV?syE`jG?Vrz^x4ijNhu5^& z@agSG(~|5*Zg~$l`msm2SIO7QcGaD}G-KI?%9sBbx;j4b=#{kB-e0=CDCSx=XrI8b zC3C_X4DfH6^UCvYoL#@X<-|w(kNw@_&aXF*J=^Hc#n}f&{5fiK|9r5U@$u@>uP)nI zknT4jVrk2i5*EAD>kC@B9Wo9{=T`KUTV|+YrBa#=w*(SB$=Q0PH`XXL+jA$kB}|{Kvky zZHZs<{=hw_8{Xdc=|k(gcK9)2ic$8tcdwJM$58x4>4sl^b!r*;<2Of60Y6@AeE&;V z$NJ{I`C5ZtfiVpHrRg8mRcVjB?lXF6YnOLMS>Jhk{2K45_ZEaTyglf0WYgg>#KcW#aAJ?qnHLU_v_@BQ}tq~)*HUC}yj?WeyyHTzz{?Nuw!PV(>FE%<)Wj!xH(5BP23 zsOjH-HKO%*Dg72qojc}Y!`RMWbqs0U>-@UJufJ`ub<7)&&wX?0`)Td}ZL_B9sUQ6A z?`W_n;_IaY{@MRLocH60fgO(rA0G4clvg_iN3Hmxw>`VlHTS3b&)k{!rT55V{hr&J zSMuuz2^HNp_bKmJ`{&=nd#>B{d8fHK@p-;3WBT^LX?QN3(Q9U>Q;)AK_|nV5e*8@zUY>XM_4S zJ#_r~x*hdvzq@^1vF9&q@6TK{_3Dy^H^An|@RzsOnbZEypX=EJy1Q4tSNTuBdmo*j z^Ye#2-*)>I&N+Lu=ZUmwKh16P?cg0>ue}%;|3>|&VQ($JAD9~v{P5%tUL3nL?xmA~ zS3XO9!W(bRYuw(rBhjy8sMP<1-qmsO{`f)9^s{LBSEZq?|w>Q?V(a@*?l9j&U@ z18UIYYsi1wHr4yF)u~=TP=lWi4_9x0x@GnHTQ&HT_iM>iyKOp+9u3p?yIc9Qt9k_BFJxy#_zl8uIxe)N^(I z|E-~)Z>Zt=`l|-}$Dp7ddSQV_KzO7Yy-?)8kEjimoA z`c)&t3vXy)dlc#mx7uVsiEeD?W5646KRK$XI<&3aO;WigGnF z249tqe$k=O819HWj^00xeNKZhz}!R!+OE( zdL!w720plet-bgQ&rHa^eMMFKFB(hxv-EJo%ufoO=VrJY9^)VbuuT?!4dXG<&l?#H zn@K;lWVVdH z3W4N*9hEElS((ols2=)I{+;Q9h$Q=Kl>dKfNqc+-h+7b~<9qZVi@K?JMvm#a2Fi5Z zrMVFb5s}Y$nNNS1S8)47%rA|M0kfpzeNr~|P&+>KwbXMdT|2dVS9-W-*7H2le=L)R zrrw>>EvI&gCI4}h{|}OFv zXS9^*T1Y=Y{mS;Etbcqahg(`bS+4W=AQ-l;RIY8*?u)g4d!Onjjm94w$8p0q;zjWg8Ww)`W7uB1<;avi}3$FR*OJyXnIFb?mN`fbu9DBWh%E3Jz!BK;EO=idV|!RFL|PSSk3 z?2`0vzN;JXu=Fz@AKt?@oc!#ed1NllkLLAqh{|;lGXUE>vhPIgd&(yBY5G}2`F{@H z1>-h=?Ay1N>DuZ^-9~x{wI%KmGrf z_Pxly8TFINgJnHTg!16_EFjvqyDs^2xiem&ay6%NbtFBT+VO8{$6=&zfxVcowRz_p z)n_=(`@PBjeex4c^S&SHZ&N+j$Cm)GWs)91<$Y6|kDj3Z)59XmRZ8~ts9c@T))C5S z=pVR6Q$MNugw$8cYBF-@x*JI^OU!!fOXJ21_<{vCQ~#X&MDCY*i8u=D6mX06x$~A3 z@Et5}i%CC914cV38^z>5>M!YM4(XAk54kRNvmbs>*RR_Wsow%S+&WS{OkX7Hp|w10 zETDRORvVY{sD662l=U!*?4PFo)|vX@GU?u!M(GxHllBRuyHR_6^r&>;LG$KKXg;im zwS_W2FOhvJ`PobBC9_TrC}l2*QR;%+-d258tKo`e9^qMypEPq{_D_qRrez) zY$f~4lx|X_%)g!NAEE2ia#QL}NdJ}c-@2~!Z|46+^6x)G8ulgodQ{I_=z4_9M{I@E zE`FC~J!%*g7j2)E`J5@i_#HO`~)xwRKty9K-9^p!GJy#P%W8Th?Of|5MVxp>gJ&f23~abFQn*kCk3d zhLinG^7G`kvI3@3J^V@Y&OLm&3Y+;kk@u-wXYWe~zVfg!j>aW7TDLqR4~zGhSPzlq zQdmp+6(|VmUu}>Hn(zPqrR!@PzBGkxG}$kN=0^JtbOBAIbS>21&MuYhGLH1uXgq&9 zPc}%f+!@EHTy>90!x!agMmp8cVXB{Tlx{7`=RdSAYESk*lb@_&>1Q^j8&2z@)^AJU z5vtFtG~YdTL}ug`>GbE6SuBJz1h2gl2TQn3C z>nH2BWM8>6e5t%c=1W8Kdifg0RX2EI zY*@XR?q(`bH`4RyI{mgtmaD(q87ru~LmrpHQnK$v{jjdq58F{aL@uEIPxX)kr(?Rm zwUPPUNcGm4`olMLVZBB9uS@=OXnY$&={BK$UZBl8&8XcQd@u7EM}F*-pM@{Tj6{=; z^Dx$r2h~p?`JY7gFU*wod9oPB8-SSqM$gOqoA;GbG@i%Mcs`K)ETD32r+IuC=}zS5 zU&;tQZZqoBc>c9EE`3My@BRvzAFJFM+bN%CGNdq)+Up3FE1%Y}o|JA0tykUtl!oSb zwSvaanE6s)LH3_gKk4Ko^|Peg$iJQHZ8GWOso!3q4>@(9{OqCpe@yqek5k9JPUFm@ z)Q)C8SI~I!1KoFDCjVooe?Ck1v)I3J%cARgEnU~cq-<=X>pGd%!y8He0NNAVaW-Xe z1m!0T`UUE9-DUfJO7?rHU$s9a3-lk-x6nNGM1i#b8_JK{VCtXaX?f_04?Q@y&YM4#&lKsNEm^1?iyw=tODnN%=fL z_5AHHna}Cu{}AL8?HAGf(u4FXbiD^w$^wlb{dX$w>wihd<~-7h+E;u~3~Y~){S+Dx zU+FK?9Y%T(mG{rJRG(CDf6}}hOzYJkvVVcby_U^nx!#kf8UA$Lg^rW?*+KRPDF5@c z_2g=5#|H1n1Zz>cw<+DNl&&xN@dme8KgG#1!TzMbOzq;9BK6+n=N($lyGBXD?6)T= zpZ9WQKF7;q7(=MPouTJoU(0GT{-pYxPS0)3e)}5Ln@5E-+)eeck;>bG%G-zX`39A@ z;kz6_bZAp1Sgzff;F zUFMUPYeq56n?KOJxt;9seF)n3xFUs*NuL02Q6G3o3g-QYC#4%4BhyWl-PBk>{%4<* zdKURPO!;}|Zz-%Hy&KFIq2ez*@1$|^B#o2ib$5~cT%a4Np_Fb6jr09|WxG60dL!x&Ngv4k<7b`4 zM(wqZ=FOQTccJU?8R|c=q+`8edE?xqAMyyg8Xl!^6tPF+^~Hnvt|5B_I4To){*@YnqTVD zI`a?GchP)tfu0k3lI}_KYze)m=tX(}U3b&y1NW~}J_Bi->`C{tPmq0c(#KqshPk9i zkiL!V_mloPl`DbP8!4nup>j2BCH*v^bWhN@afsG|N5~#;Z?WEXEs*uop6cgEx{m&y zC3SjyW}Jfy9PQJyW&Qg>IdL0KDF_8b-6;g;Gy({&% zW4EM(KBT`wwWKT)LrOYQsD4yl{>5wB6XuHyr0 z*gRx0jC5-E7pdK0SQFceRR4c@N&7WqUq=2Ll7F-R_|f?J{c~X5A;1@1nds+Mi zoyLJt4P<+Tl0K69;cL%HKf56xxDBTM|24g@u}In23H=S9CseGEeq2aDLGwa#ywpFY z@_s<}@QGnzY1;24-O!#(45NPX7|oAnc^6ZEI7H74dQiF_Q$2WQ%KXz~J7XXDchUTZ z(fAWfuhe;m>6^r)wdddDq)npum<2aAowfp)v zX0Rl%So@vK_!g>%JCGcvo6|<-XBCwzgW9p>zp^8Ek)MaD zy!~h$_!#L0RBs+yy*bl$RDX^1GoS1~p!`hzTb8#I_1iDVkEiD6D)s;UNz%R@<-d^Z zy)^r!P!23t^S@<+=6c{9<-b>gEHB+27;nl37xQa_1*Tvp^;P=4Ij)A(?Zo~Lz^$%yZMVLo@Yk@n_yfdU8eI^E`p@3WzwpXhf@+f zZ&QCblqk#l59Q}0x-R~q>!K6s>*@OXXTEeWg#3(wJ?7^>lyP(YbCmpK(tCVZ-iWO? zm3P=YnV&nPms3AUrROSB$p4#EpABwEVJ_J(rF8qWlKI~$-5Cp^Tw;924`{&#*%sSQ zDsKvYP!=|NEoXG4`~>5d&0sr4e$JBpHhduko4Kxdit713t&7ZYawzrZ%u6z#Z;G?v zJ9#wTzOCJFzDeWuffr@JrD4&SN&2k0Qm2o387pc0zd{3>C;9iLdMmju^NF8_#?6QN zj}y%!WQ|&2qXYGy4n3uRy6rcdsD2jik@|kP{&8zY z^|P7k#~k;jk$#5yr>Qrf{J%{ZkCASSWz_C((S4aYKKxGC(MylXj2DtUE=#anf3%bJ zc8jiyS0Q_-2U}!5H$gk$)`#-{P6OFb%_gYRFG{cf6n6G?AE`6=lq6Qt#l;YRb|l({lL ziL%&63-aG|muyFK9kP__-&cFD_aV5&`ngph6AYzv-=z9%)lxcMPxa87)?)^Je$SWe zCqX{(y31cF^J89jb?Cn4!cOUDr#x)DOzpl1Cs5dKk)QWy{nm=^)BBSCI_c+WoowpI zDE}W`mWC;0?*VSHTw%MUe>Z9`D~(HUhscbW<4FRoe}-u5;U}rQzEobby?&x{wV~&$ zODWxzP)tmB&_7Zz`;{Bjr#He{u4+2+$`6})IV3hBJ)qL0gOV(Hv0dumuz3t ze_!e+-F#(1>9wDcO!<74?ki&{pWUgyO{V8#KBPyG{gud(^tKcru#cDzFK%Sh5^ zHjwq>e^}b5lfI0~^%d2_6QrMoj*9iUdX=mZ<_eM#loseK-DKDA@rIWj-ybCsv4-M!PKj^9znEuGpWS-XEc zME$4Bx3d4dEt5Cip!LiXw4Mo)Zj3KnWx2M|dd$2odeL}0{2|H@*}p{jzjspBv)NwJ zl+OjrrTr;N7bjw@w`+6*ZT1s)YOfRY-eCom3r|P;b2Jf|^>&P|>xXK|bhnWIY_iXz z&+X9VXZ(lCn>JH66fJ{{6?DCSwL{iV5|yhX&3DHZ%ZxOahYct4bCjO@S;!vy7q)wu z_W7B8)Gh%uj(L%N0^}FV)%~Uv(nudb^}l|KEKnV@-dalg<-=wE<7Bao7PM|zM)w8l zpugg_gVqV7wD&1_bbY-|*VhPXZVadXc4U|=?~~*oU$YQ{i zPwtFdDsTJ{X-}^)jP0bi_LKTvnT+u^^@n}*`IFo$4L_p#ai;MnVW}+F z64EaLqJ5sX6o$cdg4;>T&-c_HpgW1JCzbb%Roeeb`h2=Bj?y^x2>G8+{o%$W*&lYp z`MBLC|Kra}Lvy`nrFGzPS_hi_FqZU>G(C#^{7vJ0rgU$Vz&L>OyRUYi*pu3&C3O(9 zT!*NAN7-e5=;IMaOK1+PpS$JK@mlgdJEMU5VQZQPXOn#t z`FEo)%Iqb54(VT#KA-frsUAL~^^aK(Mo7qvn7G)G#3XA%Qb>pqGHPN#NVqM*HX|xA z$(ArNU|4iqtZkxodbCX*tNutxSc)|yA}ZDz9W~!(jEf7mO-xBL#zw`?!u^CKYZC6C zj!zm9mk?t{qvPfV$3`V3A_pee5)%~-x5Zdv!vnxgG#(5}wu=3Pxa5Q|;dxkGY*Ip; z5GO*`h4+A{6y@1E1EWK&VY4D26^u`?g$b(>(c!Vy7@OfgE+j0$W=*oiC&bN!V@8-Y zIyx@Qm|;tr7!yB^Odta`hY6k&9hYb`5^OPXbA*qC&#iHlLxac`Hi;4wd zEWs8Zmym?9C@8dnrV&xmwnPIlJ}xR2syoq$wIwBD6^hJ+Ta&CtqAe-h7GX_}PD(Va z;WLvHlZ1?CkxPswLy)eLtg*8ajj*`bIkp6n=O#oY+2%&YibS>SPR1NTp_8JLpotTc z5@N&R=ZTz~nmisB7ZYQP75Rr8F@kf$;*#lzb&f46HXh4mL?qa3BB!Ft;*yi3Dk~5Q z0SYFA^&n~rOJOnKaM-M*C}^O>_ynkv2(*Dp7ACQ_6fglnII%$Ag|-iy6%rOXDU0ee+6T^P{4;c`t*besis1wAz}Do$KEK(>U0xCFcoArg}~ z!$^cH%8ujrC_R{#Kk9(H^>h`eB4|*8VjS!9BXv4%}9=i z^4b!Tqiyo)k!Rz8p%@%gVepQ zBpkd$WMOFp!JK2c6Agz!R4jA=aY@QSPb3xs^f7i3VmC)4-GD zVJIRaa!R?8Igzz5iXbm8Do;4eBlQ*|fyw|VvB@#g!mR%3)Ow$-0zB&Djntn2>@+k^{X; znQDNlM;bE?vTwE`oPtrARjA}Swy;Q>99QU&=p#4jd zIbm_OhzOjI(NYd$if~+rok3NH(@0oy0?vgrD#1zdQSovhV&5p&BO!J3BkPRcRQ?gMKSi#Jk0MomE1WF}p z0Baens@8_gtvoLCD&n%+K6skhF{KkTzk(dO6=*gO6t4=KIZzol4II60zD=CL^GiKM z=~yN?vzS&6LWd5*^d#A0aZ*qvct8Z7I4a}J9Tq7jV`y$$Y$7a;;51y8LIukD5_YmW zwdknfl%aT7FGs<$nOdtls&b`B1G>VhoTO?Bijouwr3e#KJrKpDH9I78W{Xa=Rk3(L zz`VmcBMz3zV)+X$QL0)|TnT~li)DGBc>^JCCz4{s@)v4K+#@LT9|xTgR`*Z|xcq}1 zF6n58i*PKFScChIgH|)6pgPvtqBYHBxHux$-M9`lm)-v3#M%!Ws+$lzjLT+B5chJW z?LUr|)wn=GS)7LvzO3~hS7i+=eBw&gT+5nES@4Cjxsa91QSylg94ksl*Sr&|vYHI5 zvY4#8mV|<ouxCH4`lIclxWGMvPcX$#F<~^j{p+K7|WYLs&5r1Ge=9}5l8JKVcSq`bEGrP z%IC+M3yh+=;^`o5y9dibD{E+I7tTluflBz*7{UKLw5> zj``1F;LyN5&H2(d0i0enCRPHVIu-(0xoREY0P`YpC~6hpkXVtcO!Qz;g(1Nz(>xs4 z8MDb|eag6_fN%<$m;z)bK@8>7tG68Q^Cw*Vpj#G5iJ?etw4EP{VJSF>FGB z-`KInu%V+y!hLl(WXYB=9Ujj_!2>Pe1gpb9VvktyMUt`u5PVh>Rdb#Nw(hUY!e@C+93iSZyl zn1u?9H=m|O!-~UzV#?A%EzN;vNcdDt6%GwVN~niLT4Ui!B{c%(qN)Pj2r>kt_Y9~( zEVnf|MXb>i@S$(GxW$Hog++?TlW;pDJd3rxS)Z6otV}u$Dh${7333sEMWTCmIdr0> zctl1E9_-!JiOk1sP+h`>D4dAVI4$C0coH$$ccdtX9}yQ99XeHo5ZL@ zF*2GEn;abt!$XWA$Hx$HKN13Oz~BK!0*tQs3Q7}UM3RaeWXw2ZGQo^P`QS8sTBEzF zqKUgcVTO$$B4W9VH6UetP!fXe<~SG5p+K_1OrkL*QOz`>za<**wBMEx0nc}F*fzr8ompIr zI3yVVI0%N$M0o!OCy0Z}H5etrAU!>-S7KbRCom>&;CllbBgc*!IxM7jFYmr8>WKC3 z)eqjf))N1mXfFx>)_y>79K)Cs{KrF86-nsH^v3s2p#JyYe{0~sHSpgW`2Vs7e0)f3uIJ?5 zLjO;qsTZG>df8ZT51Xl*Y|!VyOx^r{9bGiNo?U*P##Pgsl5YOaiRs6kbWhE`4e4H* z?m@bbrgtITSJS(ZZqf9fqz7ucH|di#y&vhJnm&N^NKGF^x?R&Pq^E28EYhE)W0X*Xj&vVQf0}e(O`k-%MboE| z9;oS7(kE-Wjr34WpGkV8rpJ*Uujxso+ckY2>FJuji1chtPbED^)6+=L)$|pl=V|&& zr0>%7)uiv!^mU}?Yx)M#i!}Xp(u+0yP14IWeJknZn*J{76`H<-bo2A-WnB~)8<2grrZ*)$N7LJoo~!AdNYB^wZlo7!`s1V*YkEJ@ zOErBU=@ptjg!D>HA4+zrStjrXP3B-t=Ssj+|*fhWuDG`w656YI+Fi zlQlh>^iWMtB0W;m7m^;Y>B~q@(ey0R?V6rLdb+0PlAf*U?~3c}e)%4Fv&(rj; zN#CXE-;=&i(@&G0uj#*&UZm;QNiWv)e@QRZ^twxFp4D_$(#tiy73me4-jVc5P47Xv zq5VG30McDFeK_f^njS#9yQWVj-9ytuNcYtADALXEm7D!Jj&zG=Kacc4O}CRiS<}-< z57qRSNRQO?b)?5@`X%7 zA4uP)>8DB0uR$-WK`*XBFRei@t3fxvFKM=W=qIxOyU_OvP2EPitENYi?yl+4q@^ioZ~NP3y3SCC$= z={HHQ(DZ*vuhewoQ`rv<`h69%-JMDI(Da8%_tf-8qarMMblf6 z9;oSUNT00f?MV;S^hZdK)O1hM?V8?;^mI+{LwdHR`;eZa=|f2O7$Ton;NOn)oi2QS z;mP#fO!s2?0W_q|hw1cHAaTT(>D019w=muOZ7e(x$n@ugrTjCQ>GxTFLYeNu^hl=v z!TiKCeKfOAVY&x>_YY6AGyQpHpU(6f%zrl1hcP{e=^rvbxlDhR>3K}A$MUm_=@*&* zeN3lESK??s)9EYwLN8+aB<81>>HaL;Ql|G|_GL_enB~8m>Gzp^1=IU7y^`sHOs}B% z3thKk{@s0Lzs0W`<}%%b>CZ6Tlj;2bYW8A!087`0>G{l$FVhz=dkfPyF#ABJ`!jtq z(|0pJp-gAyMkLc`vjg!=-^lb7rn|Csv@?A@vrlJw0MoOX-j?Y(O!s4YF4K>&a^*4o z64Q4von_P5$8`FMIB`}!(@!x!MNF69z?27znND9V6$eV0{uRrA8Ph$PUe5HPOs`;i zBFj%D)6MTvio<@6ek)`0Bp0UBS7^lnSElb_>AEw$5z{@Gj{i@%xp^{uKC|~?y7?V` zJjaLW^i^!(%9rVzP3N$;Fuj85flQys^vO*BjOn3F|BmG|lIhXRKA!3CF+GLp=69I! zu$}4V+5+`-rmth^W;1;z8q$`-^ej_^eJ<1CMS|M$m|nvC?_xUrq=7hRAJge8+CtA~ z`f%mlFp8LtZ*$G9nCbLYV{xdI>G<14=2ph^Nv!{rGyOAWU%_oWULrk67RkxXCB^mwMzSM9~o6sCKz`m{5>Bh%BF4nK*awrr+v zP^w|%Fx~tvJs!?w`f_HU$MgnF-^FzLsSj~5tC)Q#)8Quo)E3F~ zPAs4COz*(To5J*o%-+s)`iT;eMmp06GC$c&KcR91{h#R#nEza+o9~?Qv^=H{VfMS2 zUd;UOV>HC?VGN!-I?8})xnducwcVm7knf@cQ zH-5@;l`EdL_{j-OmD{0 z&1U*?<|l{g&6#~J)9ELW#nC*bk74=W#q>eU&pxIPVD|Y;ho1^kTM^R}Sw4%I4nI|+ zwo<11GXG^vpQfx0qnzn+Os`;i50-8v)2A@q@OSk8ubCegrXOPVu1tqt^HQ5T)6L)D z!-F17H~+6G)IFL06Z7xI^gyQjFufboeVK0l<~aJdFugwtv;{K#73OC$)03DU%58)75En@mIW?#(o4ooj)`U<9(F+G{-zB zy+6yRF~ZUR+c0|@7^EpKcXt2QvM6l^a<9Grc$SAIkJ`%zq@)n=w6}>Ft^S6sC`7_I9TCVd`-1afu{H;tpme2IJO=H*>G5s#{Q_S=Z z%)XTAe>1&|=~kBia;C3g{wtXNKJ!z_^bn>SBOU#peu`Thbz%C4%-)sh+nDao^c76^ zV0vSge@~__VfJ23e~0NlO#haZ*O%#|n12h?-(`LRneM^#$xQ!>>7h*T$n;32H)r{Y zXLDQpFhBd4 zK9!}L&-5^+7cspl(~Frtot3MU=@(eKWlX1^G!|!-GkqYluV8v}mTo1}kFj(Oi=+SV zWPV(j9>V;%GJP!b;;eVD$O`SE4?BTTn2y%W;| znZAjYcQVt5Gd+~)p{yPvnO>XO$1}YR(^Ht9$MR!m`e~-8Grcp@vzea3{O2(JX=b0x z^rOr^kLh19eHYVnn4f)2KhEs)nI6RSBBtMCeu|m?9n(vhK9%_?V|p6X%bDJWwMzxl zZ!!OsOkd3W7^58h|66A7!t}1p-j(UDOm}B`7v{%<>0dK@Po}qE`S)UaSLVlu>Ax^P zzD!@mbPLn#GXH^0$Nx*g+$J-99@9gaewgWzOuu3}fqgvF?=n4w>0_85JJZeoa{^CG zXL<~?&t`f8^Pj`?3TB_nboxnqaaJDFGnt=VOn-{`*~fG{v(IPxer8|9bPLmqneNQm zrIhJ|n0*=3;cHrID`$E<(<_)hlj)UAe}<)N;D5XY8@}TzVD>Id|3p~GKdwxl&vbXD zKgx6urf*^XJ(=#w?7f&?huQlu{RY#0nNDB%5Z)|IU&j0gGQAtqCo{b}(?gkllBFBT zbo!}vaaKIjeVCsVrvJ(O*qMHt*{3tToaxz2@4@sOrmtjrF4G&bbn}@07_;BS^vleC zAJca-`+TPVhv`L3AH@1wG1DhA`%m7Usu?>0V6tWx9>|u`snV!$|msz?+OrOQ`R$Gp4pc%{S4E~nI6XU3Z{2w z^;608L(JZw@5kZzzl-I^h3UKDdocZ3(-`)iTxa%POfO{V`Y?S9 z^W)3(!%Vj@{SBrEGQAH=cQVueV(Er5-G}LsOpjxFJky6UJ%#CmS-N(nf64Nh&h+}s zPd3vZXMS>+9?9%;nf@iy^O*h`(|0j_2g}bsrq5#b`Ak2^?2DN0$MRXs^m68>lZ0+DBsXuU|NG|Ni}K!8mSQzfhtW$Cv9D3KZ8CyjyV{!J8F33tpudmw?wVq$id_U-71t9Sq`1CdKgIZgn(G(56+bMvqvD2w-4r(x?4-D{;A{8H^5O>it)wv^$WWd;|t{L7d9)#7sS^utWu0GZlU~&@x?5ZU$MJjt73dncl|<; zVtj#i{equje31m@SBx)yu3zY=xSe1(#rUG+`UNM&_+sGtg==@s@_PtAqqw8s62*@Q zE>PS_@NUKU01e8o7$49;`4x8+oT?aaV4?hqJq248w`oH2nf_E$KD|oYF{6Hd< zU-1)yQx)S2V<^93ypg?r!K!$G;2^~V1^X#}Qn0t;rv!IYJV>yc;=zKQ6b})6?O(I} zzJkvv_7hy9c&Ok4#lr;eRyAf_Ezp7ra@qP4Ftk5rR_{&k#IYF-|~Ge#KFOgA~sc?57xS_@MlXqXlXN%aDn1i1n*Y7M(}3EYXz@TyiRbc;`M@OE6x#YRs5>pAjKO5 z`zd}+u(#rkf;%eSB-l;y>w=vWzajYAO|$&Dg3l=4EVxARn}Q1zza@CL;< zD#cp`rz+kic(&p^!B)lZ2o6&Gu3$gK?+Nx+{J!9hinj}PQ@lg4lj5C%ul;3~f0y7h zigybxQT&160>vK+-mQ3#;LVEn3SOo7KY~*gew=mk2IV{GH$e z#or6wt@sDQn-w1yyh`y2!KsRW6g*pTsbH((lY)a3|0LK?@hQRHihmZ|QSoWPZi;^q z?4)ee;1sp_z%Ie6_*RPD!w2% zNb#S7{S;pm?5+5c;Eswf3wBd{MX;0NtAejpnB}h!d`9s#!6k~X3ocN6L-20Je+k~K z_@>}hivJdzs`wwlvlUkgwkp0QI7snr!G4PW73{6}j^K`p?+SKPd{3~G;`@THT{X*( zFFxV^M=`#LfcqcCwFDO^#t&q`{jXwtkqGM_#m<6PDaH@z!~L&f`~nc%|0s45Y*k!O zaFAkrKnwSOiW>;_R{XHwj*9U`9NhmY#xD%Q{h#8-g0EdM%a0#4fbuKG7i3U=#Z3ek zC~hivw_<#N59L>kAJ~HXKgIZB9Lld4Ul>986}tI7o4K!G4N+2=-QtA0&qRf5kloyD7#O$WVU8j|;wb$t=H@ z;4_N71(zts53EA@72^j)f;%dnCfH5!^MaiehX}rQ!7P8M;4_M?f=d+Ri)`rsio*o&Rva#PvtoQv z4&$HV2*Ig}X9%9HI8v}xag^X7#WMx_DaIFM(Ef^}1$R^&BiK!GtY9a__(BoJzjCwu z@q*7No-MdUaf09i#fgGS-2j&06EWcgw8O5oBOB62=T%dTV;N6Os3Er$YP4FtkFA7do zyj<{X#p!~riZcWUDPAGiPjRMTZ^bJGcT}7u*iG?Ef}Iq#+x)=t8tdbX&Num zI9cNujcpoF(>Pe;0FC`M9;9(UjeBa`MdNlFH`lnK#?BhwP14$5d|Bi38lTqqxW-2{KCJNpjrVH2UE?hpZ_;?J##tJtX}n0|WQ}7q zwrM;~<6w;gH1^kckjDKq?x}GXjoWG5T;qlsJ8OJ5L2G}FFKc{W8aLF~S>wC$TKj8!S>y8>pVs)e#z!?itnmSj_iDUd z<1HF*(s-@LSsJHlyh!6@jbk*nX*^BiV2uMb_Sblj#{D$zsc{#L+iBcf4?XU4=jn8X*TI1syAJzD<#s@UstMPV?w`jac zoTl+2jgvKw(b%T(G>wBb4$#-I-eZYkXPb^BSMl__)SLH9oBI0gd-+yj|lh8gJ5gt;Sgzr)j)M z<7ACvG`49xP2*sV12p#6c#y{ZH14T!7meF#++5>^8ar!zH%e=NjW26_UgOgmAJ_P( z#)maNpz&Ufw`;sb<4qc`)i_JzG>sRTY{?qr2lqynEa!o^8&H|l9KLGv*|YMiHudh8 zHSS=CPuCcSXb<*o!oFX9+;zKW$*8atTp401sH|;q`qENzFR2+gX!o3S;Bvn#LcI4e z&&TiM*aw}5<+zdDBiOQZP<^m8EE(sM9=2o-x)SMZlz(;p{{8ZB_;Sma&IiEGX&RiX z(#P{J%!Pv(35N6F%RwHNj78<2d9^i+&*8&;kTb|%mCE+wWz7iqVR(jrF%=chFBFxI1(!6rDaK8DtQn^qC?9Upa$^<3 zTsV%MgU*S4N?Mi@EnW13k@67yt^Y#(efZ(E3-!Qg>7rtx7S}RW{9GM0091Z(8G5i} z^{cn3j_7|$(6`L$hbD0btXii_;qAUzb5)N-!RKDt5hKY3s_FuM23@29-e$lj12LW% z{6j|eQ+Ry|C-RkH?zGIEGoZ z{3fcX(vp>)A`h4I!`&Q*i{#-lez-mye(*}KwzU6;nflU_@oo8sXKKonIK0MjSj&_+ zoD7F+$W%u1Um3yBx&hE=*s=l8?J6>p|H7Jh2|DqEjrKpC@f3Wig`EMzTSoFZF}jJq zhzaMPggR77{%O>xyyW zqO+*PX%9{!c!6MIGwaqlR$Y{S6T{%iKr$#JJT)(1UTa)W0(?gF-t><{4GS@ybFw8^?jz$PL6sbs%#bf3Tn8)KMC4$*j}G6OzHD zfp`CsG7Ym#$$V`$PUz0*U?**N)#mP^Zr zejN#Uy%+@ULG*-a85e3|K0&|@30o!=)($j9LOQTMf#Wa}8cA-jN$$2^aB^2!1WZMA9V|jt^DS%D z^rK7fP}X=D?yL)BmrFIADslJN&acHOU!|_~05^*>}Z$3zTUu zhYKk!{{s0Y;3_kVVWE zT=#gfh)#o7?u8ezc{2Trp?jCER^59Gt_m|?_*lBA0<S6XzG7=lp$laAUs}58(*5M0K!jBWtk;#A1aMUh9@ zwYmw>8Qpzp+T%D?EIfYGHbuxQByXs^%SS~VD%1HsjWi?aVCGE^QbY_iH z+gbQ@>;E{lEjjVOOl{sL9R`psIknYeQ=12ru$ozH6vz*bI#p&9w(x*1VJCAhE~~MNl*14wtg@O<$WlW|6HxVW7$1kxoeU1@@K7lQ#zJAm?s*=xvR7ke z-rLl0X9Tldl{=$DFka}{p+|$*c{9aTD*FFS?Em;U5Ejbj5Sg`7m1`z@*zv*-sztO_ z=Q6OWzK%tHt7NSdrnD*pifRn3-GS8(H!{z(GNow@zXmU|tsdA6hFrkFB!-3VvP2dy z$QCXPGm0$*WwkBca979TR8;6Y8O}GBg1K;R4Di46!V&ZAK6JKE)w7+7El&Axqbyv3 z4|_WLfK9paeHi@|=vAM3$)gVBHse6~zc`KTErZ_;Irjy2>;X0~3BO8~t z7wdu%J|To^)vf@z>=N7UC5wK$@Ij_71ZG}IA|bVTDF(G*A2?ue#4 zqS=mUjw71uh~_z>yByJdj%dCkTI7fpJEEnIXqh8g?ub@6qLq%Q0c!}eejQO)N7UUB z^>9Qz9Z@ew)W;F^bwn+WXrLoH*%1wOL?a#1ctW#tCc0uEw>}|Mz>&z0cb` zGnt~hzyFU9%{-;S)Mn_U(tF@f!_Ys zb?rA^v-bKA-I#f};hL*I_`!y2K9tEeWwPsQGY{Xm_Uh|zytx5ddVP|b5fW|~CNr@; z-y^U+mH?A1La554w`WH(*(Vs}_%JzTqFb+`7S;lZ`(v9J@1gcHanG<;ed_U$R-Hm< znCk=xIm}Aj$wd{!4tycpE76t>;aS6`nJb{;~ zXA{Y;{E70c896VbcTzK?Q13h(B}^>c<3jkjui%ug;9#g=@g}z8bghg)qu6S3h#}X4 zF22R4*7{R9i4;^;qXoAt0>SCLcCRkxr)kit1VZb1H$Vcsg093D(JP7Tq&Z>ld;!~Z z;1Nt>>58|J6sRkhm~rS(Oh!2rPRlYPg~0eyfU0S~L_o=!r$et`5+;>5nP@)&2)>0M zP{_A%`Wdn}5CdWp=;Bzm{QyK{1O*W|ttCgY^yK))>90f~a88lx@g5lcc= z2oq%yoD3}Ly*P2_$#`Ch#!L#I?+)5s#EPUY9s`&$@VFvzMM(i7N2}kp5>AEB0u$8@%kU zE>KZZ`TbvmMK5)|X)+mXl3ydVrDz#UsfEE({5C2}IbFOQAlTdABE>-Hq8iiIf8tA} z<1FV_qnr zc|58g%;RMdns-S_9u=-_b(@O|RWee^*VHQfne(;)BJ7IE?(#aoK$uPSh_>CAn!~ep zmiK*`vb|&aJcf3<28<4pQpFFT2zuKX##*DYP8V-w2z0f`_#s9?3XW!a6-HgHhTGt09keNcX!5W>gQL z&0Z%}o9&^O=#mhH6WZSdj0KBl6X(!J@6YyAH29=K(v!QDG0*;C z5gF9c8D-%N03jVP7^VI#vxoiJ$b$VWxK#?uNO6PNvxknQgmfYc zb%iOG9BW>Tls*nT{KiKhfX^n{U^C9i70C$0z~r2-O3pIL$x5%gA0h{0>yOh1ZfOyb zuUAa_ox7Qz?WZ+h-_ErhXTxEH@h|b|Bmwkmx4l zSc%@|!LVW{wx)1LM8*h7g&l6w&|_$0IeL6rax6VKmFj+oe`D(t=m@mX{6#%{2UU1C zTVaMl!nvEN*?!u#LY@JTkXX|B^;n zzVQAsja-3r0C$Drqn#vzIJ_c{J6QQuTF6k^DofhR!ikYtG?j%vVw8qEyp7;~jtqaB zukhL&pvGBM*sWFZX1iG@wzBY9WGJl`2sXE!;D1{?9~I&w9h4xGe>PL@_ocMI2si}* z)7%y=0$>&CbVS=Z7I}qa$Y2A|UbVIsKUZIN(IOZA4FAX?A3gdm0#4DRuSs&Mm$t3y zi(w3^w9(=hZbPDok1;v`U}d#c7QgavLX#CvsY zp}Sc<+fQGI;|E<$LCw~sci1-!xw`bAeS^NPOApz%g?!7o_GmcY{#}}0LTHM+ba zy@Q2lWb6Qz)Ip}w+h8i7YS|&Cj+sXL@h!nzzJ&Au$So6A< zCUN$|STEX$qB1_BW$*j9mE+1T$+29aPA}2?vxN7>(_Koc=GXA1e<~WD-p6v`>AhJT zm>iCwArjD=n40x6u8>VRcGKdd*>&ri0p31ALkQMR?P`BuZ|-i#7{EwAXsoD8c-%_%gQ;lQ2f=TsTa?P=%xmV2a7N z9}$A@@JlQN4D!aV8IyzVtw@hDHE&W~iOn%}(xif9DzSr1ox)oy|1?kH536#iOz$D|%Q=C9{DaA^=ia|ViU zEnf?5#GBS})YYX2igd%`r<>P)zRb0G!)b;+VudFa@k)fqI4uaFY{mvgF6`8d0?u@_ zE3LAE-kJCe(=?Sj`ldovR>*t;OGTTx;#8?QCw0!E^yb9oKO+R$4as0}uzgXwH?igC zh&hTn_pQHlPo%h|FAxeEfy{fspOyMH1xO>_Mxm0B&zB&C?r!b`jEn5%=KWVlO(gE* z&11np(Bo^o8Qr(>?1dmf>y^@6Hd)|}eRxLmEwwgnk(ZXSX=i$ANt?#Nxv5)k(|7}_ zNo%la1uw19rqM??<=Sl89!;BcQgbE54uSx~FT1I=zSO(j`Yt+mxJfMw4M>f3qHirW z;VRRp?W`ItSUBB(b@CqAD6^T=B}k~uv#=J}?8A*fTnG>>i?wQBj_nUiKxkvISrHWl zmCwX|+($$t82Y@A8mGHsEOx7z(lF+R)w|;pcixF7ZV2(#D^9=3Q6KPgxLNKH{!PEjwCUF_*fE9H& zo4l`(O|go|&J=c2q}XTM{Gcmi(!8nIQWk)O+x!4N6a--Kwuq*ZLI&QusVJF_p(h2- zjWki3t}mR%1V8MPf+b9+UDyo*JMW3579i{&dWn99U|b8)P0S4>lBOFA+gaY<^neRM zO0*g5&2N}3ZN=+YdnN+igkM~a;$yo0JDF{nTQuYpPz#H1^!2)>cuwZ_j>v%grQ((iMEx+hwo|1gf*bBKixVe|c9Nn{NJ$c}?NTE;)1&n4>0wBT6WZ3w6}x!=7wXK4#rF}@Sq$F z^4LkT_;x&^AeI44Nw{1r$;P~rqbPZrLIT&3Pp6wZM+A~CV93}Zc-m zm1d9ovzH^guul+Y7tJpzIEMhZ)U>>;6 zE&Jt$g@(K(KK;9JhHpK%wjXRl4UN=exVO8NxQv<+ zQW)Y`$aQz*s7?=n`Gq~I&Bq<=X5WXR<4)^#p~5&YlC_>ZJnRNKY$n!%3`AO`DE<3H z&lgpQFdQ=tNFFd!CZ})y_!Z?h@>0m__vigIn1@xcDRjp#qYspnNX`nD__&t9IfDUa zWwKA@4}A?y*5IVgxz}EO>mwJRjQ*N{q(#{%q@J49YIQjmgUq8ssuAk{)oEVksMVGmADH zyIrp07zhu?Z&KP|dz`Ko5D`*B`i=$$=YSUJ=N$Gb=tvPIZfh-cGN-R~C-i&2G^#rG zOOQS(^kWuUibCBTn`LZob`NI0Re|OpEjb(r`#^4WHoeP9?^4eb9ZJEPh&jCEnJMn7;-(P2(yxUaU1>IhWMBAVG&N@mRFXA08B_kdix?>J|eWj6MPLLoEU@ zGyK``tTg}YZvK*Fpg@Bu@K0WWhCqQvQ{X1AKx3dly(!S*6~Okk%{U+RQB|LyLN>j# za7a+!+1En(1kqMwr@+q4H9&bpw;u8bTMs9(i$qJL)*D0Es)i7ixV-?CK#IVA#lE=# zpaW2SHKlN!*%{}`+DsPzx7B8xi;{Q+_8AbVtsd_Uct>}kQL}B0cn1rwT!{B3yu(Ic zl)`%k?86@q1s zP{$E+%1^(Uy5AGgfe{A;5w4UeFxmHxnk+W0qTyb@UD$AuOKu=-3h>}`xzpEWnreXO7 z#M0W*_c0V3b6N+*I~uclk~=ofXy*>6F_@|NpJ1!$9n}`+Fo}yA^6G!VK=*R${Vxsv z7mRtY7zV%hve5rRoZWVy2fP<31ROWkozwcb%#2c`uC$ND`mF}*Ra$Jd$%Cr2T7fv{ z{ z$@nwxRoaqDl5o%@kWz%cN})GXDdoWF_28A!+3!%#s7ttK=VbZ7`Oh5`hp-m`1=}%{ zZQqq`4NOwiff&MgpiB&fU4xu1G$Y-do#D<5yy@W)>$-murMf$I=?=Crx=6d=zsnA` zjgmDemVdCudiB@4U^yK@aX6+kF@y>&S{$DEXFvj{br+j+4KD!Uyo}XxtxHQRL--%IiTN6*dHIa+kNSxtd^rD<&2v() zg2Va8@s1`jB`Zvz?;aMTJX8-iAc%_|^ns#XiE zE&~RJ|423&#G|u^bubJ--r`!*z~6r8oh-NJ7*9-x&o!ThAlxuo!&_c9e%Mf=K-F;+ zSai@cBITw*Sv(^SoQmayK;juy0TNqQ(z~i|pFUBQ?a%i(MCFv&GNBGJxO6JH#N*_| zZUhO8rCMfo|E30xj)(TC)Ty7f zDj&K%MrAkSb7q*UX991&uZ52O7~K0J9X50jev?U}-vs+(-}SO61VIA!@wcK+{r1t^ zUNz;$EuBhnwsX zUt84)POJjiylFqTh$tOW>p_b#)8Y@mB&WD$56QHDhg*mU%S8!6+eCFwgwZ8{QK?(~ z2{DDHmt`u6jqnHHuKZ+`wWKMh6}Q=lr#IuXr6fWG+sC1ZT@vPu9G8sC@QF%s3c|W5 zeQ4wHLDwABAf|+!F}jUp!JgYrwomN_m^eL{b`vn7 zo+X=qyZ3d$-y6ubZ_T#$BWTo%q621@>qUujl4_$wc2~a4UWUMtCR7l0pq>avJ$ygT zr*~>a6Yw3!8$e;aa(#nwNfTv}WsY9sI#XN*TsgNSd;v+gRb_987Hg}Oy_+Pfzaeqw zS$IOc)wdwn(&{Y;UVvv^5OmU8T~fM7E=9iJ26CMq5eLlh@PL_(#P!mHg{j#DzIAbW zXX375eXalmlvv2iSvK8MRZ%oW^U5ga!eFz@+-5hvw=&*tljl^`B>1BQeIa~ zGgyW_DPYNpCrn9{O4e4<4j9Kh&7Ba|#z$obbN)2w9PY&e1a3OkZ6Sk&)3o0em`Qvx zru_!I#5}3^WvvjcLS-{1%*BJVhbA!!3lE`McSnD`9h-?{Lk>Wa2Orh+Iqj#J^h^@% z#h*Q||#dBPE^q0urn0#HwmarJ5+%<+{5VZ6Pm*tqHY& z=HGf$M!mdDvEzhr?ssT;P(80o(AJ;?`bav739iB}sUhjsMnx*tpa?+QaX9;ce>4L4 zWDuQ(V2!I$qlD(KS1{8H4%StY@sGblMwd|+at>l9=8+^avQfkiyr-~wUeeb0kXQ}p zGK~ZnC8SOi*juXwE2b(6>>HxMo>>i8C$&twX-&g#v5-*G@t+~FnvSQE6qlnAiy(t< ziE8`WYTK^=tJ?kxTqa7$yvrmG=V_*2BcrOmuTs7G4U{h-;OD9Yl1UMVKV9m#0oQ9? zcq3L(zh6^IMsmiXD!@<>8$KY56Y4;}&ut5FogX+7)iecDs{Hz z5}($sKw!X)CEj`uy#_s~tjy&1+zpNm6fYlqt20ARoQW*4SB=%x_=wj=xDU~76yH;h zY)CKlD~spomZdlJ7hl$2JgvWYYJc%X{l$~}izoFLll{dx{l(e+#aU)U6F~Gr2GfHe zfKDL-b5;2N9d@Ef9|{_Zogz=JttRk}2EKn{D5eZS4Yfx`7(#VvaFLwB42N zA$>C|-CzatW$H3wo>OKTGsyMQekRHshT?#y`B_Yi1fZGCjPWfzPnmlP9lK4j&RQqE zX>q#WPEroPnCV?Ocz6&`SY`K3QqFz5H%U1I&#-s6=~U`(-Nb?nK;sk8F@-lFJxr8axTZgZRBSl#NRDDFq$+2h zIh}ca4)Ha4l?YgO>9Ja=P?;LGb?_+F!iHf?FyewzrTkj3C-IRxaPO#nTN^Lj%j^Pvr zg+8)LjuTDBe7SO`Y8bZMf!#$ZsQ-974@~Xwu`*Wp85TB?b!_{MHd)yQKSz!O+d=oh z1?2|aXC$ZMpzA;*Y}t&F>+xE-wTsKP_Uee%aJl|H?oP})0LS>!jnzA{E%k-}#)T;= z1aMY)X>;KjO{vzh(Dj2JqFnQy2=}e$V!WYW#z0oq@SX{z{9x#mFD{Z;K3igh=VK_; zRkl*qgQ;kqbX>TDB0Ow-*uXATz?zZ>tx?P2YkbxbNWl_zBvxp}-7L(B_V|sDA%Rg+ zn?V6%%~vpf%ddM?MU+_~1*hFr#=pRDE8L3<9;dBlu$zX{R0f&K zvT!Q=)O$d>Uf^>r z^}xGrt{rsPfgwZqm4F1CW$0Os8t>DPUIj#FTuUiw@i)uPE@ys+0q6o+RG()AO32rnU4R=IESu>e$ry464dtM@X z_3c%Ps0@M13Mgs_)cD{x6<&BkPy(&rG!yAT34C^rr2GveaECyuL|=$THodL8V_Ph- z@}x$h*4Yasa3T!NH1D4dwdmIk|EA%teDsrSDQ8#&H-E~ zgBS|kG9rj~%=F4YosvYuE;Euj_z64M%x=`g@KY}w+@ zea1kC$IZ7}&yH5qRZmnRRxR+dsfq-G&Dxe-vaDhmdQC8a*SGo=?yNGlhOlr%!yWf}IQc1ZPasAO-?XJmG|4cnYy+UDbm@Xd-sHaIaa^ zvuIdP{~lS_^K0FYXv*J!`*6kocepPzz4Z9HS57w;u-gCxNRL~te_ECUtK)j-$|^bj zytM1wX)$q`Ii1TLEjAx%_r#{Duno&}-hhmX)!y-%a`t?c}CX@Yxu6W`jCU9z(9m{jm%!!tDMVCvvoce3p? ze&?)vHFpV#g%eH4%ciugs+KKGa7l3GxyEUQ&-H~@6&gxV=J^n_N%X5G-eAjbhqUIimA z=$OMDln3l$+cRviyJIM}mR5R5uC`u#CJvuYU`!zbh8di0>ip*(vkUcms8P6I@I|oUKsl;0$@&nxUcFK}>D@4tLk@Cfyiz$vm^vvJj1rfWk&)-Bt^~wPtqbZ8R`aaTX-FAunI1e4zO=}W}g%vz@O%R z{AumQpXFWn^EnMP*L`I*=5(3t-K+Q`p=*A)l`Gg_A|l!Lt}c*?n?6&Fq>nQv%%R6% z8Cgbnvt2d~k8&kkdMoXmo z*KsRsj#i>~oos;PV;2mDsEBh>l(g(+YX3U%I^?-)-SJHCx21o9ZWn4iz%usNnOhCd zl}kn~%%6&x>>=Gm;u4#9+vae3h~uevfs%`{hatC%f!G5=d{WtLZ~hnf2iQgp(hOzO zyNftkF~r4ikQ1}5q0YhXj@`V_;QK^yrCMmPgYb7p!>1dX&ReUtk1xI{49G-DGp_2s z@HB#Vwt91jNmw~kIOX691>X(`lP&?2kpCMfSL8ei=dxrvFqq6!Ud^7EKCG|w|t36_-FXwTN@Lw z;NFfOoEpHugXYlNit=GQ@Oem%du&AZ^0>!F9Au&Dq>kICqlPA+PNB#Y+1!ATWBezt zm>IimHlH5H(^`H!Pcj>sw40fAeEK&$;dsq+Xrah6MhXBAV_-TP)k=7P1eIQjuH8e9 zlrPgka|Q<^#2kt-y)$QUsPe1qnzWK?FlY%%sYWsFzH6i+FHFKd@BW2YO=VkhN}K)a zUGMw!MZfqB-ZwH#BfVYGWyXE<=~}I2gk}-w;PeYgl*gZD)@vQ(F&BPo{g8Wvm(}>* z-fRu>7$&WwNGBzjTue?J=hR<)nekV1EN=YOXApprZ(q@0Ev^?p>iNzRe1$C2`LE)4vZJ00 z3p%gZ!wo7R8tx~9D7nt)Z!q7KgKF<%lhL2sdgOY)yNSbV+z?1oWn1AoK285ePz|~8 zCn7^!_)?1e(N>Y(CGPsAc~?bI&NUZBAr3efa=JV6bdY!#W8n*0Uvw0Xgx0iQ420S8uWwss9ZwDdaTzmIsW}9GN!@3(Z3&7S z%b+MMQ}jNPdM81FJM}%0FF|-i z8H6#VpO&UB!V|YdAWXR-qV9|vSi0J~!ggdIr5};8;o)pf6>gHT0prbeth`KApSCAx zKX5d7zcvc*vjD-4g|#o#7r9w;%n1LDD@)Im28eA0<$n(E4bbi-0-|{L;aVohsQ>Kj zOW8|)85~!|iB2phBv!y(t>pE>j$9Jq$Jp{;`Z9XW? zm2q6}u+l;MG|A9~D;)3d?l>4*PpO%7cvSx&q(*Eq54}&PL0oBn?&b*m`N;}+HU|+S zDy8vi*n^==wtX;*i`25s+i>sVz$LhU5rb^znT^!mP?>Vo8%oJI9db9oj{|VO%aNh5 zn_i=9JV>u}gUe453IUu!n#PUq72Q31=r9^C>|stHydtN05GByQoSVMrT2tu9EOZYF zb$9F(7jfrt2n79^sUKFLP%EkRkgsiKc-#xypcgdSoB@-=ubE`iBe>EpwieE&7_i3( ziTAey{*2BAPWy<{ywBl%bLpY;vy<+5jz6to-TmDi`(w1(`wO+EbtiSa-u;6s1IXDi zM}CH~{WHB1IOvQS1Fu^exIQ<4CUMOwZ=6QZ3N_Gyg$BjFKoNZz!&t%mOl!zBbY5{V zgy#=LQ-4&8!!#^G1jE2%0Sj-9SHK5vhQE0f?^*>*Ye1&l8h1#l;5W@x77!XpFaI?U znvpMDoc|u&@X)cdW+T5BgJ^5grBt$TuefnLXC!*gWaE-Q*Ug`65`<*gz1dL^p$30u z`Y|WrG6wA|W}b#{8P9+Sqt;;uj6 zixjds_5Pd&|4XC)rHL=zm2Y@_6Pl1Vyc?d7dVx)~@QL{(OjrDj7cpd2ms(%w(uyEr zy-Osb!2}^vNJ>bX7DJmG-tW?;g;n6d$}g(g7#xB&quCi{GDkriqNu|npKV!>f_bNP zUsmoV!P7{#Wj@n}QyWM{j-__?p7u9>LcMlkArovDQ~sBx0wcSWl*C6AjTUI5qv@Aas3z(50kwfe>Pr#t6pdE^8oYYi)YgEskY_f8!R$)ZjvBO{El^# z>TId^ys#X~tnf3F+f?LDF9A&dRkDJZx_z!d05%Nbk<5IwRH7ibFXWl~vdaIm+W*q# ze_6>F?}N_z#-$$q$G6OISHHg5*Dm+9Igb)!P!CMQmVudw&QK>VNp zhx2=3cW?x(yJIj05ONRLMT!LIKrOh-7i~h2%wBSXkUZulSkdTfg#p&cp`1U_D3AE4y!@yp*UpSa zcA0c%(8iO~{l1XdGo#>H)PGVYo ze4;VtzF=(OSLy|LyEo%tfeR-)U zG7dYpPsdwR5x6aDkEp!B8bS9&1FXdq<|~tkm(m7RxRpM9Th^ z${3PN_NPRT@VYDk$y2sds+A7~HHhVq+68bOmR4Q%!Inz1cXSxkXW{ge%yl`X&{nzp zAvSG>H3uN{Yd}8l)~vh^S)e2)Tm4~~D17oNmIDNtPvzWlG->_?loFFh)LnSmg9Vog zb4|x9))vL=j|H4~*-_QCEqfPgeGNJ)Ji(pzLM;>RBk;{SX_Dtv^K{j@x)*w|t~mzQIRq+(ni@Ly~ZaP-VMUWV_2s*;ACV zzPmRNxn_%+`ZRqQV~%{Ebx{wSLbx2gj}>+joHSL_-sH5}O72z0?}I_k$~W!|Le|B) z85I>EEY`+#ig(S%8^IP3h-~R9H@skh96=(xWWDKl`#DwAs~ItK6-E7bWM5xvf4HkB z!XM1^$+iLz1A(I>PP^?F72Q8IBc+e&s6A+yqEuQ3QtO!xWQ_*0mN84dZKrh|5fu;e z`B`Yc;d~EVz-)RGF9ukPs|_|4FLmxF|H4Rq<>DhpE>Stk^mX8?F3p1qG1J%HZyIjS z?s>aH{Sf30P`TGDyTPse|o3b=l@|(9~1I<8DA`%9U0#$ZjjAEU&I^km;0C z*CeM^t&U7P$4dufnSdSiNje`0RpBjo+3-dg6DGJD(!AG5-gs<1Lwi%SyyFmI2_a=9 z3(-9{>!8hg6{R~pzBqjl1Lfx&D5oIBqecY{>hMP4@pjH$r&qTcQnZ8d8J<`6kcK|CbiK$;FAj?6SZ57JNt7E<m z9!jzVdvj{y&U^9V=x5KpPm|pr_b&PP5}wT^9|EPEN)#hCgpx2={7#B&JL3Y(K;cGd zL)2AZ!sEFsZe;{I2>+2_U#r4HI#H9j^P?)y zgEs6_(|&1{5ZIH228SeG;%6Sq=nnVs*dD#RdVBzY2Y5)$2Gnwes&HcUFqAQgO-X8o z>d3%mQ_^hp6*7(0mrXT-8Y9)0$BjhQBTm?c+R1tM&Xn63ArULEdrx+tSvEXA$4}5b zc&oAzC$#~Rt{W_sH=9tIy#B{yB$5YitvMQS7&tX+7gXK)dida2|B~IWPVjTJPdo^h zOeRII_%pubP*Xh?o}^We2R}ZGDCjXaA6I;H_tdd#Un*Dnatzl4Ty2ov#Zx#c?42*c zy#6ZN6ePKGYW<9vvBXDy_X2WoLHzxA!~G$@#4Ad~--B1>%P3N+2c5~V_Uoj!6_PI< z9fTG__jcY1gWBA6VzGd3&nn)=$vyVsB~T8iao_sDikCM$4&lp zJp<{FUI&q17so8Wl5^fB&$7vuU$srP@{ir;wSt#|QiM}T^pU^EJ@Q!{7ZH!AEsHsbDtGabs_O*?MwdrlQoJ68*BNwkaa*T2@E=dB` z5Q(FSL`rYdfpAsrQOQ{oiUUIY&CeZ!Uyh`gBIRgM{+sL6AO06~>Q@kUGFbTKpBE3a z!_-Gl{^gk1ZS(jvil=tH+m>A@HdLr7ojjWU{jHR5;X7Pb?`y`T)U5*{gEE}I0YQ|) zXHmkD8EHn{PYur0yjcP)91_%gkSwc_*04f#Hrx0oJujEVeRXc7DQ#o<`Di0B_8IFH z&k<`3a641#73n>o1BIt_1*NRMJ<1z%2ad8A*PwYzsq_x*!Y5Ol(QKYZ$tFJh3K#X3 zCRb1x-c`}k`Zz&twXd6nDEsCLGy-dQNAuE0MKRCesQSjA&8RX!BigIAs(f9%(1*1` zB{K)&M!Z2@ApVG91Rap!{F@P^DBSEXf0PuQkGf$Bw!K9tSh<_{cmgh2>3N#R8>vaX7LO?wE5~vcfbNm z23#aw0&&xQmk2xt7J+szW)q=Bpe6($x$~7vBG3PN*gZ?ArVe*^9G1}4;o>~^dRQ(A zPj!B?B;=&uDIU;|TX2Z+K82njd-pOUz92v68_;ky9#ghR)~oSFEtX{K-93_Qao$px@mgTp>F zm^f`Qs$#UH%@g3r(74+?Z5C_1_ ziWp8QDqgmubLZN_~C}7_$LQ4mgew+-AU7T%8Z3ns=C6`DQqP&7dNY{{|f55 z(8?)#6%7g%5t(X4`4TF=8HuDKDOe3KKb3J&tllQANL@;#zJ2`BA@wnoFF|TYl|T$K zb&zImnD63=RPH5sf0aFvdh9w}oaCJQpQU576jy#!!$dtzxiCP1OJG+D`#7Vn0)!Rr zkE6Ux0UQ$&;r=`lfm1Ui6LCOA3@84oK`g14a91)^M))%j{-ts<^?wF(bx@U%slr`y zkJ9u#1l?pM`Ee?NPE-Pkc+%Ni5Ai~mY}er&uX~U0JSl}gb1su)y%?f5{pGHXFJr$h z{&KZZX#YyUgf5%e{()*bkm*~Gb-(G+#y5jEB)--9Wv87tZV#A6t~b5`60=LLRN_tR z-Zv-4GktHGL8-REA2gwnA8gnth4bv|0q27T&UCC-g|PPQYS30{&xa-Kb(#fpo}Jn& z!9ra>{J@{k^dC6Eu7V2E^l|GpU@GM;9xVS)&p^Bb&uSptF|lq&@e1Wkzs3Qm^4%~Y zMu<`QavF(waBjlppg37S*RYwy8s-}5 z@6H949%BGN7#U!+?7%5yH1F0e1+;^J?l6F=<8BI9VG96hGR#EW(H!2Rp?qM zS9}S9v-4^h4WsjLmF3-*Cnvm?;W>LPw^s>CL=4-;GAJ)lBUHo1(uld@+fxm%m1KKo zjO?zIQxI@=a0+4&3gUaD!Eu1hF$~?WmhVs#oj2J{iKSp4&`hE3 zDA9Nt)9rE$9m_{DbdMxYJLEnl6L}v!Z+}&l^u&<6pl~rm2i4LOv-g))=tv^EBU8U- z|7=I11mpYE9p8f%g@VB7V_d-3p{BFkh(O=mV;p?YX35OL$2dQ)7H>oWu1EQD47frN zEYW$X>hPXdB_@=@XA`eX@1#mtSQtZ}O9b<~s)1;#;ekGndB>{4?E$#6#62*d;C;S8 zR~OIKIKiv>i)U8#-57BsO5y=6hzGa_=|P2N(4($(2!ECjg5zVDppWAh|6~%Lmo$6r z&?LFX3fxD7y|$q<<@Z4@-D{!7WeUz?_A&+kgvj`Tpydfos`GYIT>~Wn62=PGpq6FO z$jztQ$K1{C1w%tOyB7=%TGjF@)B=9Qw$_~I%DN|)BHCoHMyx;4#G3wD`;>LzrmBU7 z8k`dANwR5MChc{q=XAa4BzKB9J*j}U)MGzoiuh4Ph;@osO=UAhMCIl|{E08u+L*^x zQ(NY7RTcEl@cj%{OrV|(s??Hp9YVcH}cE!~^vUh;sW zs3SOvnj=P0_>#A$|B{kXN31b?lkqz5-Rp(faK*!#B^@!N_+OFteENdRV2+?_@qPRx zxZMMumt>wdfPA6I%PJ;fYZ(TXX8-*hEa{{td}BOBlIU^6G0**s zM4!Vsiyi(l`msVJ=UT$n?+#0^T2N%M99O61D`Em)mOz*tkcu{zymr>m7^}Pysbf%8 zI)8iZ8E7ytmv$G5r&zURCJ~D|Zl5y7zJfX{+fCp>7MBc*zhyU78|Sr~%`cm#n+wZz zlWQDim=j}_Ymu|44veE??zj%g^*-(N^m6UUrcnC<#y$Z#>Rw8KxfV4WUFzam?c}6( za+QiL@M0VInJDF~H)?n`RBp$a9wGH?G0zPfw7*W+(S!e8DR^7MG*ZCRLXpD$|Bw{C z_cT#nMne~ePX9Z;HPa@xPHtOXp#P~2&^#Sx&a^$Lt<247&7Ap~cqJ7tZ}3^t2H42Tw4rioO&LHS7750i!sP5$=ZjezNyDiI(=}Wg&X;P}Yx6Dv^?JNJjM?=_RXZ%}^j z-hrPGBZqrNkcjqT!#(@VQ)akl%uU>nr`I4G>&OHa=IhBaYwD2(`sUsBV??@@a)-`l z%RS?$lj(klKfJSQ0ccV9CH`dk?#?mG=_67GxDkp67zYu&Zhwf_G5VC~c@t|n(g(M= z@aW0;ws^M`kF9+%3P{5s=>AiHv;Zr-Um$2V@Nv){B2f5u_N}jHl34W38~u^nfgfrI z^33Rdh(EFRxZXJ2clRh$ogT^5{_cCZ$ZNcyy8%ecPyF#AQZG9SIk?=pn@LU&Q{bHV zyci+2q1t(kfSc8n?uUd6{ARq{o97^p`kg!8#ODahN@0mp)I%KU-F8bU9L2s{Xrg`n z7WSKhRm1t+7-taFM9&|elP+1hZADAYeI$|7N6b;3=(waG&cE{&mhMQDJb;^XvL$y| zMBjCaUqpE^!9rNzk!<@uh&PqVnEYC0f`N)udw>KEN2yL(BC^MH-~Bgu3mz&u6{UFX zj7%U#BgWz!TX0-&L^$jDUX1WgD9o0o?(_kOHat!) zXBzyr)Sj9)9#ExGn_pn_#?67?F?a3`MmONYni$Sz?tTL{$AC|< z;@i;zWR$Er9LcIIeRe<;jkO-y8bByoaM%wUC%kxCH=q%a^yP5pmzl4PO9VbJ83CWX zGlHn|h%k35jNxVeBY~h0&)rg=%Grb|#rRNpjPnNLTTUtsdU)sj452*on4kcIqV7p* z?G;Z_%WA?`kjMT}-10B<+xm|p$I=xg4r5ldmX6Hy^aU`XZ#_n_Fo|A8@xl;UcY3h= z$N!9+(hVT50PB%V_Q&}RCzkd+K=~4qUs#UhuL9UgB*&-5iCR?DW(uc4v#pbe+E5c> zqmFwGq1U`2`acTMy+iYUrmyGqj-7J3ZUxrMvd<(0g;#yaHRzSFMsTHx9#TXACLbMK z;m$Juy@Z^4p;z>Q+VG6VFa+#KGrig@y)s8bG5V7=mzrVne@aFBG|pD2?8I7t13O3%AXP zlj=p(>@`GU?eWnF+>6SRVD>nE@lO~}(H;pi{vFV-uKA|_4|{6q^E%o{el-G~r4Ves z6wbx)9kWM4yTV+&M;cEV;#fJr?zUWZNh9YRFj~id2bC&U7*ztp9%C?0O3d*r{eilm zj_N!0SaD;2oL}=&nC0wSF*qWuw?zQ(bfRFs9r3>5^g$v~yo{3+pO=W`HTg1WWmp`F ztmf{8uMrP0eGp7PxHz5L@I^Cy2-&<8T`}0aGV?sl?8b>z6oc*~6Z%>YhGurxVon4d zY;L{a2VPJ)M{WP#b$)Gsi{`*OG|J5GX^hO^%nsf%yJINkq*fX&eTT2zLkU`K-%r;#?NfJ1VcW(}v z#|0i)u`DBe>Tkp@i^w_Tza^$|(8tlJZ?@03@MwKWRWA7-K?iqCkBGu?$MjE;r!Kj< z5!WF}MM>~W8GiBi*eeSy!}rZ4L413`BxK@?J+R~5t**h*2E24Vx5Gf`U&jtzt; zuJu9rI*AKO-VN18oX~v!l!!a`CsiX z!(*VoEFfQxZqp3{ef|EjCxfC7pp3)=y%1cM{swRWDLd%=RO>IJ{YZa#2)avjtHj1C z`OCo8KOYHU3m;do&4ZAU{xT3a+-dz~z$&9${r>VLvr2n@6#lZG@b8~m~AgB_WT^fUtVKPUm)zunuf0^*YJ7N z?fe$Qc-%UwXM187fs4K8BkIEw-i!h3yn>I<4ITGAm&_o31l{AG!w65zcZ(jBJl`au zEOS!lEJ{zpQMG=+4$O9Wvjd6Y zS0&)T3fbs`@ZRdq)3x{fUaWQRyrphpKaLE&oOTM|i(0g|BUFPfmFpD7SOb$YIm&%* zdgx~Pg4Pg^qU5m|^FP3>!q*JP2rZrK)NKX$dM%^xIbs996&V}&2`WDKwan&|DwHc` zP@zDEC6ax;77;ivHO~gutPEkI?9voU*56H;!U%JW0JVV4mIj)MjVNXfKcH=4usm&x zFWz7nV9SHdJW8gQ|1Dx|)B$}_)x5$tUK=FeTv$5`KRHe|BpneKqJ&vXSxuoDpqVpT zdo8;xd)!$gW)u4~sKIazvib5s5z%>C84}=-b>lHd;j@{Ypa534ITM`0ZkzI;N%`_v zC3nl)uOJ9p4{hi#HBuy-yPE~%@-O_OwUP-e#oE6z3es@`D zX}pvP6J7j8yn)M`I*R*RNI5R%qq{Lp_jZ|^^jaR{wNm>7@=>O^6I|El_GL5P5ON&N zWOXXxGlP&_UJzyl_tQt7qu|cg82cvWFpEG??M(dI2t;TBfh+elSmZsLhs%Q>wmkS& zTHe=zts(yKQl?&FmF*bt9g@p7Z-Ow$RcV)G@Hi*?pI z>23D=i~xG7D30y;YM?i{vzzM7`E?+dT4g+v*JCaM*KP;qcB_ChvNEes*YMD*h^d`i zUcY=OldXlLTC20r<CnA5sF+j1(N2Kdx}Dkel&!B`Df zmhbwV1p1ZNX3m}~SM;xq=kJC_3vP>i7kDt9ZKoL+r^OIGeLUWv_Hi>OuOQ>ib_Lz_ za}e83iffpwT_M*^klgEydhsZ+dKKkDy?AERiN}Sb$bpi*5*;;ty(o#-dath+HQ>F` z_SJmcMe&)~aEHN79ra0&K!hvUD|CuB5gsZi+B^uIxdS?L8>)h&;znQwXiit!Fl2hv zcoSR!NDsN;@06eq{W5u^sF6?#OR^T@WCNZ3$n-QqaB=o#BrDF#m>-XF6lH|)6&6r4{=SP>S zxoq=h(xnU5s22~S>W)IkseRw->NrRl&-sd!(Y|+gY>u@rAbu)qTO(x6ti+&ntnejM zN20b+Z#d4p+3L(K$P4PsUg*p&r**T#D2v15Cz6ZiXVFTS%f7DuV? z%n%PMvys0%7gA;z_Ms^g*q8R)Br|hqc4scCR2YIM4U4ZuY1E*Sw$l_lXnYa~e}@uZ z#k>jHbi8Km9Eo+!l2~r>swjjmDu>Xkt3(LjU1}+rJ>5Rhf_O!6`-ETEWCM)sBfwg{ z*$TkT5q2kxu7>M|iA;Q~j<9qI-;v@R@wpkkp=ulwsxSjDwc1$1b0l7*8xHWbW)$EG z{c!4dkUi$U)#CUT-v)_=?wu%{A=*>6K70$uKY_z={>H=Ld{*}@m`x39VNxVPRuJ#z zhKo#}?uSrk{x<9ka8ri!i~mdzdu>Y1=yk)f*=$?30QB{*mJpzM8)QJ$7R^5KV57m~ zV>4+^Wk*5wj(bRKt?zX41s>RIEI_A=An{&rKj(XYM&q*6b1i7Q5AmYa4&EP-s`%+Hp)=X+^^R+ZE8*|&{ z5my!FL2aGC3X{!BJD5NwTlK8L0F4QZ7>-SHpBxmqiugMZaiD|K-5pc>Fe~pqFJ435 ziz5LoF3;kX=$Cw;-)qTRn?r9nXj=C>*KO4~(-h?ZCiTY64{~$88m64fSkur4q z#>&xV`SYR8t-p()%}JJ7^hcwZ1(ji$g_+S<*->Y>cI)(*iBby;xpV25g@>GkqstCC z4j&nG(ZeUmRSqB0bF>^iS3e)DZxyE^q$s#gE^6FxJYaTImx}mS-rt_YqUQr7-Y@P; z2-*Lik+>A=lcTUcdJ?Pcq6Fm2xf+}V8RH&lpvXT=59?A5VdGfc6apWD@OJTtnKDxd zeh6Z+l8xfHpiKQ0bBL7yP%^2xxEx0CL94?kauVUh>#zwsgDH9Z)EB{Lg7>|edeDjg z=_-@n@M2AG)AV21^!cY~dJ5_N-mDl^zh#S9kT(HbcO zaR08L*^OCQWRGSWSRkM=I=w)PxO6%N-d7|lzq~Ts`PhGy zDf*3)qMr*2iPyo+B}JcvAovh);@6uZAnA?he6SOSr0Ehc?+T7AC;l=I%$*oPkzk%% z8t&u%i4ZnFHAR5UAZB1bFi!koFYi#06<&uwRno-UgB*1^bCZ^IIrEFiumpr8Qv&kC zum?UGdab{tr0B!iLZnxl*V{O@5v99>X{S*Rln7^iuXTUfH+N7>V#4wY@nb{s_6 z(NJv8u0~M7^|dL%`>1;ks_yv&`ibQjdNK%sUzvlMAN@U|8(ecioBm~=PnU>QKz*KT zpc6}1eco0Gp&3^3f4ag5K~Tm2>ocKxRdnyG29&>hzp1`^5C1yUBy}4|k;bv<-+uS^ zi7T6@aCW-$yCCER+7g6?r>Xa-&P#;5nl!`ZWZOko=RI8_2C7CU-Yvv%h4666m^T6e z9CBKgcF{E?%fdn->Y4V`iT6j8zb9Ni$Q}9GQv3>Au><~%$0g(E+!`FRR-(1dQ*Bk+ z*JjALEco9KI~5o&4YpUb`r7C(Ta8$Fjlv+CHqQ)dn{Xg1{yAH@IWMuob{SodhnppF zX#Jh|TCG5_wKn;5n9u-{%1!Op1-5}ezdjw7Ss(RJ^lG?G{Jey8mJUw*mzSIV`?z~4 zJjWnPUip8EDBl_8ZWB~QwtWolP9-hz_XboS$MKkhMO~^iwiDK_$g`n|=uD#oYh{ zPJZcKI)Y-{Z}k=NhQey>$G?goBjkWX{g55%hd9)~4}ePzKoJd&_D58RuZB4aFoQxY z+5&%?523%ZA`G=5K!1RTR?#0n0??TX6qw~94R#64K)y4~X0Xi%8Q@zd@n<6SyfWWIV41uzZa2``0D zKLN&%VlfWWXj&d0Ukr6R%E}}tBy%d;g1~zm@NQFhRa#fV4r26s#i-o5z z_k@*SNG9q^8lqY$J{3U~LDq>sb(s}O&%izQ(@^>9RN7VpDxlJ?f^n@KkRn9ga^1P?bQ9?r&=!Eqlt)fH4PFM#jduiFII&;HhrEq%f zv_{oQhMmC8a<NEmiirg0lS0qm=H8%{B9!_5~f!MS&3vU6vo-%vt-BcxQ~rGCTd24dK6 zczd{;LBB!l0RAke(XL><#ng)y{{_a_u8Yhdp;ZW2Y-1U|U11`zPAhZ7xblBeSZau+ zRS0tKHlDK8I$*l(l+Res?NOaX^?#fo zLo+>r6*Ey#r-F;UQR@Zz{nN1T>Kpf$MU;O}xT8iUfL4P+%QvU!2zSN@{dXCmMgW_i zMQJT^!HMtH;{F-SWlx3%kg7!|{xKIc42Oj0c0~aO)DK#yCX9DUSQYp+?OR;1eocE^ z$t>8@oO8SyuB83xmtm~E@;`f9DNW9*plQDnQU1H(S$$Jglc4t+PyucB%#W+qW@}Ki z#N7kyqLsy=3(feYk@I;B_k@W_)Rchb8KMLWCaW;XLu=8my(e$Rh)R6TilMGM}8Qhl?-FVe+`y42!39PX#23J zal!gW&*HGO`ZUDj7nF{M4`7>Cu%q7S`AkIl_Z%o+{zDPv7ne}Qga4MO@}PYQKB}>j zTHLR({t_O`DQ|3IE;mwUF6VBw<`nLMw<=Z46iy=+#tijABjVCQ|9lM+rV}_jUmIZp zcLD)1f3WjwQB1Z27m3bBidzb7vj}J0c&*HdeG)6&KkWO~*&+P#awu%kpD!48|bLs1jzx)mbk>pozDP z*&7j#!#k%Xo(}sI)F5bsFuOmsM^m}^YciJDG{~NEA6R13=kRDReM=${G2aW&p%`ve6 z)R7ZLM@~|A-u#&Ina_WZXK*M$V|rOu*fAxcyhGE4$NDGN8+W0l2V8D+64tcDH!Fv&s<1T>o&tZQ~7f^KMT62`uhvxnGA7v@p`mh%FYvOO0KsVO!N*A=Xer@4t zs379Rn=Dl0JN84B1Q3qmV;LS&v5&u5C<3iEJ$`rK7mFzAZ54WUtm&BpWzVBTIF)4r z?UctO?K_UN4<2bBqF^po!E6Y165rR2T%kL>KSXm+4ztaZ*zh)i{h|yRrx_)dSmV=_ zKt=*rzsX2o^TY)*6|^A%3>1iE{rN5Uo0Px#^IPbo4ySR15J=vF5sT5&5a2e+3k{-S zhPevcm2B2ZhQ~~x#xEBOHh~&H|5>ParUv^{IsxBiAcQC2jgN$&q)HiEfq8FNutqF> z%=4u3W2$uNc38zBnj}IhFNW?7kS)M4cFYalPgq6`ztJ!XX3A9+Hfa0gNC@E3_3i@- zyHf9_z_*Y%mh0UOVU=G+?+S}5^ltYPq25sfNTt#x+J8|v!6n*Lqa+Bv1oh2otq@QG zmqfYC>du~T;d^n(uLgqwSq4U6bL_Q^FwKG|CpcZ};d=PryF%~1q4)mK`#|V@Tj+g9 z=zS3H!L4r4RuA!8t+)}Dr#*2%L*LTd?4v~-I!*K9E91agl^qlwE+4{C6FI8)*={|X z*I(ov4ak!_m$eKwxb-0zCSRf8@i#eK%1BT@bP$P=&e?|%`!H%BxU3~*A{KCL)&QE^ zVP3jo=;&~o8hqL|tw!&b8{Ez72oVE}hEf=4oMo{A*_6doRMp0^Rma_`cq*x?Cx!T} zMDD$g>Q0ML;`m+0k!J-01Z zJQwU~e>L$W@1^@|g!MkA6&slEmj&qS4?-^M;&58JhrLG)5o&!-_EK}0#+Ii0fs|Xy z=oHjQ_HqEQ6kvu*F~`E9mSHK#ZK#ydKLU%ohovB*p;AUGNhxY1mKrZ9WptI4+Ga}S zOG+`v;zjL6SfE>|MdsjGn$KotJLrQAxoS4AZ$?!?v(tZ+TgN)3 zJH>leqp+nzDLP&}%VZgaW1+5)!w>24;&H+dG%#-Pp%m414WbKvqjmd4Kh;KP#UGxy zJ(f>ToYsJzct3vWiTC2S5x-sdZNhO+v2sp&As%V>LayF$`T&}M1sT&HIg)204CXdM zGv7D20NQW^Px0ZbCPE9WShz>N%_c4AQE7Pk(83)siOs+edlek)S)lh1_xebC*OB(# zBkld354nc*;Zp-Vh(JaT;49)dHONDQomW9b_1^bDz+n)<18U8@UJB!dT)X6w4e2`a zXN0q*UhBjkpUmQr;zUjHQ=}cbvnV~0xa+Gp!iv6HEO5SkruGP=LKY$wa>ub702&Y^ zK#3P1M=rWJQ2Z$Y;>bNxYDN)WG31S|svQG>7rFrOfOWaVW`10)_}%_U{I%aDxZuJV z+=(VsI|bj7phL#%V{E)-2d)HQzav2^N#Om+br^y@z{#a^E`WYsgAl73?Q40?6f6aX zGNbJLgj{t(!tPDnwG@3putX>{Zagd&8eg<`@lwf1$$pb`d-f@Cfs&JzKovCn}A$G0kUOPq}MjFapexiHzUNGFd_o2Yd zg1)=&6bMv|+?M36J%bq-6;u2H>^zxt*zRQepk3LpLN*E}DF?ziNy#B=!#NFQ>(skB z?kdUQP6PsjSQPfUKzYfGrwhhWog0WIGuQk81A(_@pbOaeRP(5F;#s32kJxo5w=B6_ zWDnR!oKguc<{(~)Au&bvmefGTB!}Kqtn)>T9{c4sC-smW28awqLk_7fGK)Zm6I)&b zITX$6+X7B8&35bnqqZRy3^{1-2cvosmFXHz^Tr-mu@TBZKxJoQFXU@#x8|KaHQp^+QF&5Q9;OL3&qB@r?d(O$amc_fZaD81_LObf%z8!95+Pb02Z z(2rrtHOTG|uq52?r1$?3L?7(#*dM!fMzN2-iB04`dbdB&I=JqmX`+wv7cOIIm+1Xu zL@prssJ?4)dT7JD>FxUasF(>(<+=|!AzjLLf2jDcKt76f`wi>Jm>d|B6UJcSj*Q_I zw0=y$O;Hp33U5aNLIlDaVUbE88-1waUV(4p(;z+;5dA4wr*fhX(|^G5?SSFi0r2gI zr~*U}1p3is`XL`jOKkc_Fb0@5Ik$yD6z~daRaxtu?gBn5=n}4p@*ktY8grFbBQh_yTKt+0hveGo z!LVAkx?(a)yJ@D_`aD&FI9)LHg_&XigSb(U*t^|Odq%tMHrj1BwA)i400cAW3^Ym| zT$yJ4fT-LW+-(`E1~Onk@1%+f*1#AN>)(ELIHz86x~FEWJw2S&B+y`8kdaOAFTT74 zO)W8EN{pz+qZ^?dNNm9#T{S`@=>Kqfl-%v^K)1KNNWNts&f>nHM3VOYk>N&B8``TZkUTjd``U{DL3#wP8O-~Lk1k`*mPdQYRK2YeLNsAWr zX?$pv8gW$&r6e!IlkArnR3M>TVl7_9wC3@6V3s!c;F41!zWFpK~fn6KfA_QSK zd+1selrNtraT;^%Rh(^!U+LGf z@1vGA-X=NfMG^!KMEHP-8qmWI6rkHh;{n_JuAYO7g>4bKna|wmW`e|S9GS8N7fXT#UKDAJv_cd~LVblz zB5%Ro=M18l9UO{nd{vk@Bg}5arDp!X&L{&rkOH~mW!j-H6xP%S!R59BEg zrZgf@QVk*^v8wVov1OT)@EckYsA)`?ku4y&n{h@zk?4{@XaYpym%4)#5*#s?j7Hz$ z7z~(!F37-;@tW)Wf;joUh#10_kgE7RsP%c6I_?>dXHn@8YfjNk#aSZsNv>LM&Ep!$ z#J8XiaUmkEv>Qda?B2}vKlowudy|n>pA2AO^4DEL1#7^ z881c5G!F^Ozr#@^0I{#tI_QULZtpmBbh3kqEsAw`q+85s-;PJxvt{(k3ZYM8wZ?9vHVk~VJ>$PYq z=`yW-uk^PBt1(e<37d`%L~Zaiy0=Sv9+rV9oT zBnZ*-AsE2YJ~vpYK@CuGIDg%JQEWh1F2vkX%LchoO?zqCaL1RVm&XAnwmR2Fk^j*u zQ2FVuzaEu8e$hh(NLGnT6R3hvv_!v)YpjO0L(<3QB6|-W8Of4o@P9b}+fRG^`ISCn zC>Un6KN<s9zcgg4(GQ4gnwTEF7x7&HP&%(=oIJUu>{@BweR?ySLx;o z=3;{Zb{Xj2i=`vXy-9N0c-*~H&b;UH_kaDlBYe%t(0~x2T&+|z>)^?GZbjBITbtcz9EmE9{Ub>;Jt8|X^$-^zDI z*7%e2)=RC*T><7RTBR%R)HaZij9;qQROm(vm@(pg$JO)4B{sbd6B9n%xl|r%ZaD$rhQy{9;H_|>PFl#X)It>o0<*T4-W{AcqA2>aLRjr6;#`Ha1hOy|oa>8|pMm@2_1h^oQWo$xdK! zE}3crpgcv2dt`I@Rj?tfFa(-uLA=FZgPJHOqNn9jD5rvmJyj^XN3p9*wH5faZ&Z@a z8FR*#vCS3ONtB#($UJMk6}r!eFu{+d!jmVZ#8U7i`H~;uS@Tv2ktuwh+d>2Yhl#zI z-&|kpA10`*Lat*>M%6UMQ$!uq7bMP&k6w99Y|U)Gjup;Dv)rO1dnMP%*BJf<*@YJ( zy}M&qO!oWe7RX%TDjjv`B#$5M3JzsK)i;RGk<(7(1h#0wrAFuYoWk=Yp7UrQEuWk2 zy@eY~`I_gxp`~d6Wtv#mF#87OGgqXU!wVcH5?gj-9v)QC6XLLv07lJtl&7MZ%)~iAKpy>o zyc6SemccGN1dtr#A|;9p=MO-YqZmAQe7mBgT&mVB_+>2^4KI~+%XOD62jsdMfSFsg zO^b@p+f00d3*>py=~{-Wa9)nLrJmd>m`m;B;$DsVV-aQdNh()@YS+74rk-#oX|O z#MTXDc$$w*f~GwZha~W~r&;{|a{!OpvQ=bbw(WsJJm`mLYL-AOUq$pcv%x^Q8sCg( zMQ8>*Sb9kB+hc=}b?i2NLM_ z^u?35&3a*DRGW5EUjcJ%w9xN%)?Y^%c~re6-g%JBlFBmt-tcJZZ%_f*Do_eJm{lMTM}yFYy||_0@SEqQ~0G3~jJ7Gs-le zlqfPk^%??p z(+xEvs<=a#){hG9y$RHC9p z4;~}pAs#^^&@!#16R<~vq69<^FroedNiGT<)Qq4jwDx$;cBFxR?c=lJy2JxbVV z{G1%VB}u3iZo1qX_Qv65(WU(m{qC~pAG{aQX3cEa2-fU{$>G?V@p2P{?vKIHfddpf z2-Z;M{4*?I9;QKdl!Z?}C!?%+G#9Xxh@3NIy3gAQmtk5Zn(big4!gSn6Ye@3#ziqh zdISN*=L@%G#4cc?2x`hOgiV&kI6p>0To=K78Ach4IjxE=I#sN2s>X6SPX`fq84hF_ z1B&J*{E?G$^i&Y*xdvM}i-!(8GD6QaVUMbauujh01>$QozCsr5aiSVv%c1Lw{O4k8 zZex`=NOI^2@gbHj3-Z$?g-e#NZkAs56_E&E*QN*IcMz8g!!KwLMa@I3qEIg_G%(SbOb@ z8aaAV?93PFZ9$;%3H4L;e$9AUfCcj@@pE!sMFvYj5IY%1X#yz_AWkheQ-nm3 zM9j46BBlKiA}%kQ7`%)ELu{Fj1(0H_V(f+Po5SM95Msw=S?Osd^7b!>oxw}d_xj8G zUO)QYFmm^MO$L^;0gZ(VDWg}gNy>|@<~{|+fULwy6G$!Rw3v*Q)+WWv@F#lIDbgz> z1%@&aM#PmT1xQ~QbS1aOcvv>XIyvb_C&k$ZKF1Bu8cq%sGPn`|gj#=>T&i*PUE*AX z`^ubVjNQNo%K-<%*^{*d+mj#B1oXm30wtr2#o%r{+L;oX+4q1T1m|`=cFQ0RWC0^7 z>4TLN6R>M1M}=C*ap56Y*CIV0rAv<|*&)ViG=HK;OY zCeyi%P0t?6CZY^MWXxr;B*SZX6fIoCSREXcY||Rr$`jG6lcfN~f8OOeL*H^XS zQ9uq;#?^Wp(u+qLpb+w5VDY-z3O*YYE}jq(Hs7CWnt1bfw0{#z~{17R@!<(k|o69j{$PE$EFTwkM4Ba>hiIp z+fyCrbaeW&P5q2i@tgy`M!jw)#+kg&Nh&Q7c~JLI=%?q zRI@_?p=J%9>WqOq>PIH!lBg**7Os0V+z&3{#gA@N*Y zp8>9T?XgmNoW=y!LazTUScT}l50&V;uklm>zM}`=8>Iru4oF|U-CLxTvjbLk##so8 zjMu)Nkcx>UAXZxswM!1DW%kT%G8EN5BXHXAgUpS4Bs_n6^dHAtEOlf-d=dXdzi0AT z?z7ZrkB8`7ito9ycq*sBQS-V;@gEqah@aHep9NseeJ&Oy;?eUZa~Y9G7$T4Ga6{`7 zNr1?YJ4EJ)ZEpdOFB(7*u%(wQHsD&;z5>p&;)?)o`Ut*iza}YY4$IDA0~3$_LXrr3 zwweqhUecpTG6fMn`Xl`w0x0XI2Hm}yA2ya&a@5P->tT-9UlYtqbCMH+7W_Y3R(~m0 z1uyG`3eGA@$>#*KYst-u-z#|x*|par)S|r+xm!4tEs^2D9}xNoThNATL50jb^Uog; z^#hbLlVOb{r{ECzj@N!vU}U1v!S*MnKG6dre`TtjYqsU8z1LIiR4({WSH&H!#s*@& zt^kR~64G?f5?ZmF8uas$qgP$-1>3|vI{!H7S*4_&$^|6) zT#RKHB=SPh@&%Z54PtDezUrmC$RrDwmkBs-|7)*(2DFed%m5Z78i)v&&b8M*8cJzY zka%>SkY9&)pw-#Ig?SmeR0Ry1=#-!ug-qx0pM&QFd{>!=@MCZY;x^NB%}Lpzz`9=88wLAnJdk)sr8?9 zG9xm2w0vVQxihyq*D5;%juHfFj#6rYX&A6Qh(r~ zQ8cWj9x{2Ud;K>{y~FZj0wJj}Rf2r%rJ&L8EFgjNlDVsRBT@7#_A|D6gXs+z;FeH4 z%mqaV#cQts7=-}kh&tAGT8kMrfu)@&z8sY3Ze;zB_r9fBCZG_ssL{oCW3(a7ARn% zeeUXjiKd(1NF}D-P%`O7G!c{{;1c$puxpRaIDgM&7-Go7&!eY^#BhSgsk>_OR2(xkL zh@g<2BRJ6!#4)ZLT;LDb8o+JhA&}fT63k=E4d*fOaT*^KWK^f0O%R5&WomjHZlhq? z7C%@DJR-ycrYZ3&%Om7{cen6f%CYGvPaK*|H*F)gafRUl2g^LLGafA6FUw?TeU1Q-K?yxal?&`D`p^1bQ2J1*@q)!N-Xy|NKY@H z*d2LgKx>%87U{OFg2;N|3@P+E;Ka{xDm`o#LBc)<8h`h2L(x+hN`PS;JV+%BDhN)X*!TqTXk~6wm2Osv z1PC0)bnFds3Ox*kmOiZrO^XJ~ivHt$B0VIkB2G5e(||E3w2534rit8XgYG1PKN*>P z?=fVX_8ObRUFj)z0f7!R#}X84(bd{GPn9)J5|nA<9D`8ndC18wBtzeR<X7RMFU~F_uLNMRM4awuOOxuZDD=A$sQZg+1*6^s@R4d6|GyM zOv08x0!5QT0GZ$7^vQ$RH97ZTdo)QI<*f+$R~yKPgqc*TRM^2`daUcS-cVp9-j^FH zAv6@FnQ{Uu{4^9@qw!`5R4KQEh)L28;N}vVZ2yUe`m#vgo%7hobQzCa2?4nXLP@eA zH~I#Sg2q-;_VW?LO9NuVeuKu+!b9*Ma80I=Xkla>Slm|y8nMiUkv|m>5DzIXRr^2+jcwp!srpx z^;88KePR1ldHX5@{k95<1+-A~GY6OH3m3?ht1_`-{sWO;@rRPVoUE&E#tIOPIj32v zI^Cx)AWODdl`>b(;+09UWp?~dsuWOz`U?*t2XLN6e$Ta{xc%%db3@8fbZPy&6m#_9 zMwTEe>g9c1X)af9FJKR_spa-b@%mj@s8BJJdkXvrRmhbC+k4BT76ojl{mZL7HDsZ)k!C{{N~FF7_@%No$4EN^qaNOB-7D@Ins@nxA@;j;o>W=qKi0MQ-$9pFtY zEA+tVLvus{&;e`-sF{Lx0tne!0i((Ne?gxvS9}FEso8q}Ka>7%R($RR);Wo6T`Hpx z{~;Z}CqIFVKEmxL)DfE;`S7dzZ>*duy6 zY5D2ClQQrTB-3qYwBMu*3^;Ea;2Yo-D)3{G9BiV?7Y=NbI~L^roElv6Q2aR(@pZwq zJ6n(=@U%r~8q(zAPB-PVtrMjTe)KNNh}J?WR$ee6pKcm2Y7-NUR?&{c?&zv45jOQaA$0dan3BDQDI zY!bKzv}d(~h@y62urlQNK7gTTxvKP`ObRDoH{sdVL^~HtBO|dnn zW5Qx>4(q#5w5|5`@y7ejUHSEaE586l_UTh6Q$xeyKx?6 zXJP$jQ~JcSCxsFh6IbHQM5h7Jpp09?1G*#n?B47ld}!4$0@r1M4_^cyY$NWi6GxH+ zlW%f`IEHe@umv;SbF(%*3Johjv3?~WdjstK%R?Ac3V_}kX4ckfXdr#Q4xwt??{0$S6hoNHM&xap zur{I|HX(V?Q4eXARAdabS9YdpC+SO8eqh#b%vA9fD%*jeQ6Mk~ zk+8u`M_-*Bmo-~sx*N0$jNlAz0>OuX2U-vNs`G{GmPwxBe8-toC`_PDkWVad!U->o zE-2~g<|fw&u_vn1ZMh3l89ih|&G^0?p#Am2QT;M%mYhS{5I6alYZ4%O3lN)2$;Fab z9L^Ua=cuY;_=3w2=Gqw#{xGxF;msC~Y)^HrdMeU(4dT(28oF|=d*W2Z2wuq~BqhaM zixE>UjY1T=$x-|!M`Tfky=yenaWWXuIsR4~hs9Cli|AUS2S_EH-@RBUprbnUUgP`D z4lRNuxUPzed?sa-VU2zK$1H!dB4oqomnciTc1BI%u*nMV03j#i8_yz1&mjfpOxU*I zNL=7D%}eDsZFsGh5#gSzQPa$0rWx>?Sen9>r_3iMzrtQ-&Qg1&?}jGPmerE~d5JAq z5#WH!u0-IC7M};VWbL-BAixDsodn2GRQx=td|B4BOx-9yqv+l8sZ|`xbj+Pa2E@A7 zpo$J432Z_Qui@)rMA@Xj3Et0WFf^5PtODa#f6g+#0HFm#X@3Y~ZUVPWR&2hK>v+df zq0(Dt8Hi>FqS;iBBF~KlA@O+`O&##!#vwlAz%x!kn4^6|!ZpGwjeq1*;R6s&$cFBZ zRUPeV{#p_5Yq0GOyGrZ;}$oV@;-bYQs|u$q!2YFNU_@{f&>kLHf=!T$S~qrr`p1%5~yqD3=uEZOQ=QE zNW|?~oD>xhF0V>sGJ+jE-O#oaVrv*vN+8ml7xMr1ZKguU zs$6v&%?o5LvmBzSS;oBh7wvilv2&{1KC1XzAn_c_M^$&6@o`ktHyZ73OH7&Y243YN z0Jn42X1F=`y@oLx@|6EbD%l8i%=jwE*j{;5!k z3Z!B&)Rf*3X7tG0t-DZlEvOpguscM%Qv#l)Pm?957AxPm!k1abANsU(ft=Qob>cR_ zq1a8lq|y6qjTU*wkcT98!`IAbKEm1+IRJo&9oqH?5Wx&;M9a=SQU|2-qSx2K{@$0N zl?b)fdx)=`p;^ds;M=K<_d21G(O;Bm$Kv=J>=S(A;yt-#^F+wJQ-7y>qIWKbu=OIn z7YqhGer?Ab(l28ZPyq2?hH(5QX5$T{YK>coF=8n7<@A*qSsBd*U7}X@Z&f%QP?y?gf9BdCSDzRlu5LhR*9{#z2I#(hFolLk0EO!fk5451IXKKF zhc9AlwmN+Jqt=gw0mSDM7jeyw6iDYN(r_I{BFutO-qc_#^!5Z3#B!O)wz>8&M4Bn4 z#&ar3%2Sz@ihV4V9uqM=NPnszaLbzjVuTkBx**d=iu}F#SDi}lmSq8^c3{Cy5WL{! zPn$ZR9lDXR8}+5Ec6-_ZQp+!+9dh~PU0@nIJGWRzia&;$0syk4mihPX*+YHiI0Gt1 zPf{c7kWcm!hs1(~eVwcN@FvB@J}R)L&*|mmd&Gtn<8<)9bJab_oKT4$u)U#4 zzd?LRDAWZ#g8WEpuJPMIFTkVXk|`U9i%JmUj`-EP9Ct)TDE4{E&48AHE21|*N3+;& z>hFy@zx>)qtp3*NKE)y~xt7;}vV+E$E0E(7C&w7lz}7ji24_=epfBT~52#NTF5eM6 zW&;@zzH{6lFuGCmY&{qV2LNw)3&U3P-T-zeaU$lRwiaM2(^dvIt&N^oq?`F3Jd%{; zhdy!8M}O8g#79PlQm_3fl}2A0uT7<&NNxE0@qE7c;^B^uRz;YK54oJ+jGENKVXuJB zRlT@n{*zu4nqJZ8`6zW5-(hp|w(8P!{GF!NZ0Jtjju0C}B*@>`qphy`n@!UXuwfWY z;L8fm#;L{=V4|B+-L`kfs@tmDcJEkq`!rfjeE{rMYx0gy{`0Na50keYoxHtG4gh0R zn3wFoDo!42IJWxB%72g(uE56F`sD3tj;fVt_0Bvhg*&w!2;V@zDc>3W?{2ozLtjMt z#1_(*=`b_MSvYo-S)??JL#AOdHNjm~_BNI~ssN7;v)97p9kDe>VTW)gc~@ZiK>Kv) zf(mXIGx~d4VHB9~ABMDE7J;yc1mmpzfbeo_Km5~NhF&oF;;GpETuY$316&F=!Eovz zn1z@+^XBPxZfP7&!8O0C1|jG{v6ER$)7#0CRiBMjY6w;^( z%M+m=^iI>l3Lc8lI~zuJFv>3~QTS84PNEJQighkTu@bFD1U4ieYRQ~U%`_@jlaSqH z5>hFiJs>T3RNgBPTNYmeFD#67Eb6umNEq=GVD>2&94st9$MvuRk&aoEV_FAY?+esn z3^@8y&|dHZknWdLv4e-CtmVW-40?cI4}8iU!qHcvoE~v0cy2D$TiRXV@Tc}!Nnm}L zfTq?9{@c-qwTy+y@l|xIp+Me@&qjes=smr`mqm~Yy$*Bbf!LZ?;Wvhwa2Me=>0q61 z>i}RkihvSv25bz`eP9rz=`N9`G{;r*&?f)^%%S=&BUO_O)wtY&{3j{iID5N_)u1=5 zsj(hg^KJ#sO)%g>#AKkT2@SX+gCn+yMzo1WxFq|9>8_YjVroAwQ53TQOu0xJViR%7 z)$odUE2(oh)X5{<#462p<&g$7B~moZmW|!;I9Oz|(0@nQwMRzmhVPnGFe{!}+z&t* zw~eRw4=1VSrM?0`m!p?rRsxMMBvvCdmmDG(19_>GjQ3W=M-jy(WGvQN@-E+B;_S&S z)--y@w19ZY5Tm(}TDwA09T^)i72))r_Xa$vZkA*tIdo z#gKbfY|Uq6$n7g1a_Ph;M$kGczt;LL;0ym{&P)~pibWePjU$M83PvtdIe*7Eb^fO@%XElG0TCJR7H&+%PTOcQn%EJDm5Cie1C2!5YJf$` zQmkSF;H3k$B-)psVgjRLGIXy05Qok{)ORr^gZ{%60Sp29K4=LL2P}Z$RP1z1hL*$! zd#}BvRMn$dz?(x*6M@g64Kx;StDyLxLu7U;y-wb`Pd}(n_sE3}sNw+LM3MySAQ|)` z>@0|y!di>qMq())!qhs^Z@yI>VM<@=11K74);0zV7CagxC&m|fb%~w%`;tK~m+33* zWHI+KK%=tns+bpyt)2lVbqKFDuuzs`V3}X=3=UC&fzFx-llMZ7@tvW!eEBiPUc$PvXuLWH8;d~&snQGZc=P7(mN z+9|tyB95-!4WLn0jmvD{4%B?`?%b~^J~SNt#@()Kh1L=nYtHvqg3$B*Z&m}dx!R~A z6w0sNBv6M9>8*4>#8+u4XsZN2#d5EjLb-KR0=f|?rL{+G;$9Tnx~If*c5>)8*~64f z;^cJl=FU|&N7`HQO-{FDk~ce?o=PiEkfUPr#(BkxI?j4ZG9vSvm%)HML#%PHnLS~) zMF}xZ^7}cX9ph)etz9#t`t++V(QKl5KNBWi#NS7=%%->4^rcJ(CNT;_Kx{EeQ)-z3 z3Z*YI>51jEG{!D}m-k%~6L?I&>k`W?qLoA>wMCI3Y%8IvIwAIe#pDYPnbom1RWS1K zJ&0@_G;Uc=|K%JSy(le;Y(P|;x_rZ|drKq;TOSH+|5W=w(j=F%g7&Y`A!eu^P4OSr1nQ?+Pek=L|qd*SqrX zPS>jlMTrYWQ6QUTzp;;ErQM>F+_*A1~pzjHjS z&ZyP{9tqsPK}ULKvA7nEzu_3Jd=Ib)$_QtR%mh6nww^SmYrQbBfJC-5eg>Rw?kUtv z;#fSI%bhZ@HBSmc*{(qLoV$pb`&pEpyVq_!W-u;wC#A+$>e^Ol*aSewDQ5h|QTtS; zjo0d3x*0nwuzJ{ftaV*r_JU%fKfuf6V5tZH3DkRDIjY*Lh zxx%5CVY?MLfPsI=EPrZCudy`y+<^i6H6n%0 z9@tFDsDt%jNpA7@z6&&};g#DG!k3))k>|4jt~Che^&OQXt1XPSs9c~P%z2zg(p5p zuh6ShM+H$wueN{7^$pvF-9Z?olt28^mw;cZQSivskPPCV#$Ti$m2Qh6kE)>CViX{w zs9$)van(iDdW^HrB1cNm>wpb{!HjU6no z?jQody%d6~Ndv%A`ml|g2#=>$EMTMHqT5PvHF~%hV6)*D1YwF`tCrmhyZVL@Et}8G zMDq;@IAtG}>@=u*zIP4?=sP$EhGJ{h@B-eRvUTNV`t7g~@2d#4=275e+fAiqGKsV8 zjwj9}g?onjcuQOa6EZ%GzWPg(oTx!7;9z>ohN79Du^i}#(7JWtS`LB;gE7DGSLMY7 zG3S8wGSoqlgOmEMSn=PrqfUX7!WGsCtst_~z8UDq zmIeAN7Y&dtteVlkuO4YxVt4IquQ{Z(SXPg=fLc@1>=d(!IYnNCgT5@-acTq#2enC}2GcRg;v5`Y=~=J~?^g9rv&s|`)KM7gs>5AEul@rO z-Oyq%lh$&2SMJzGsu-I7;@1F58}RNr9>f>Y%)UbS+3r9qQC$sWI#N(v>0~cIKt{Cm zay1&HuA>Ig#x&yPJUVM+M;pj@v>?qQFi9QbiV&-n4Rq$v%<4{M>hA$MHs3~XtK0tM zmXyq;uQdF5^1&^Jn9p(T97OS}N|HKsTX*qlofx5}`NI7t3JM9of&m$M`qgh_HWq*V zXj&b2bgsH1(oXS3{hJ%@HEVKyjk0W(L>9sB;{xBoD4{qDfAYy5R#3LjFehR0%e??S z)^#$3?r-cCwjkJDV^e8RfRokWBKD^CQ1A6;xYpg%{%^)F56Z=lu&qY=v%EhzWajF~ zN`)cgspaN->^weG18f~)JGySYpB=6|Wdk1klHY*Fp-KXg)X|4pp}oYnxZ*^=JR)@f zU`!lgVxrr|d~AplmJc6C?)H^pHsVo@(8^`S10kTYdb8v1WN#}c>Pk48mo2|=W9$~H zUF^QVU+fs^i?m{)jus>(Q%c&5#zo$6^p(eTyC9jgc&O#j-0f=kZ-*6ftgenN-9sg%ylWcd1lY zh3j+31F7L22^A`uqi7^)3&b~s;?XHvAR>~dF`Q=NYl885-YX=6-F~x+0$^Vs1zi-o zVd7y#!9+-ZXT%sHkZ2k(-E%BB$^H~tI{J8%yL3ba+5+7rQ#*75C@I#!pVF~Bd>OSg zqF=^SHEP$CE<;gBK~BCp@qq1h@_qrB&IHa0-K)vV=Y$0SLJv3Sk`h95FulYS?wI5w ztvE)4UwG21v?QcrPuix=Rhy=@#_@ML9*A7EX@^+Xv&sZeZ5*lY73_F)BG$#}4NBrF z9F^cXFmPD%Xo{Xs`U^WZrc!APWltCWaVWa1IQzhXMvQ`~^fRgK{MFm45y}%$q;OzD zbz3UiBM`zvQ5<_8FDWFICnWYoA(hC=M{w{vQlc`hoQ#*HB7>-Qq|_iqmiF+Maq!p$ zmT|6wr6x%gjWsp^4Qtd8zt*s3o$+Pbl}|~b1ax$@wttV_n@?_G6yT7Pt2)-`wjOWV zQZ%JU=$?(O`Hs%bCj;hM&vTuto&)qWZAiF|pmp&&&nw$6N;V^$33@;~Y+GJu=3S>$ zGdY>)IWj~P5J)7@P4P0OZcf-j&Q6{glE`(R2}<5hW)zr;lV*~DlIa|9O72{>1-lV0 z(}9z$LpK=-8Y-6Eb`p%IUQD}y4@SzpcX!a`x|6(56Z2wjKxk`?u@PS2lK_>$C#q*bQc**Z%!1JPS4eQS;2v1Z96XpWtS1vJSz$U>;*@#3J4&hxTfN)`Q4{ zz;6LV2syVFx!|hON05KHP8h>_PWsP^( zqFdPZ@K7vFZfXCORmZpbsug|F>S0xW;S1-+SXmiH$ykIij6Q`B%7oGkUdiG`ds7`T zZ=j`g=BnxD__LnkG$s&P3XJAhaUiJ%b48wNRvZ*R>OPsQkk=#Dt-=(Lr%uTm(Dv$~ zFcY@7-b(|PUYb#8Mf_|DYDGQCrqi}lSq4}N<3CJ^JtTF|1R%7jY9Ias4QQRM3%wO^ znF@!?INLis-49GP6O;lEjw}mpl!J(sNTqMO{ut1KWucAkb&Y`vflBcxp)8qu^s!8X z8!t=9HX814sDEjz!6a)4V7X)ic%4ibA^t9S?M4MRU4SfriHUJby2%L@3aIU=l%r01 z`vBT8-Apkbu$^6HWf^pUZ6TT9(b*rnflf>St0gepZX2_vvap65z~gxcUZl^*`;?0} zDD5b_VvCq~;C11x!7jcs&^%ML=ck}OUB@P@>N4d}u0*LT$ZX##gGIfGnzHyFwFr>P zDXn{o({*Fnv&O;o$=?G5G@*H9Y?BlK^?K;OVvmlB9@yj>Ph`_}N=h}^4$aQY$?w_H ztrtOIXvd-68AY1c(Z_5@mlSjgLQkQbTYcEr9)1}CQ0l!OmJJH-6$5qPVb*WA1X6~CsmulenS>gyT zhk!AWfd!32!2f|cZx28McOWm@-<|D2EE9H2$Cx#QF)N207=76V@M~uWm=A0fIb6a% zE0=zn11)#%<2(1pRWr;>j{DmP#$&5F)&m=4L^>zxPRGtxSK@-LR|!H|@8D6V^(sP{ zWYT!SE4JOciFo%+OiG7YyovMn$I z#1kt`K%Y#5ZjV0uyXwg0vn!|TV%8uaz$7tgh(wmLqo0*n?e|zT(v79x_f!^7ocK-v zr%CX*+6{!tLhQ1O2a!U#TQ!=I>n{4~j;AA1?)~5AFi}^iPZ%33G^~oz-@a-#l6d!g zQe6e=%UVFO$l8~v7o8;>J>3O)(p3NoadL=jvFm?J2|81dLZZV&#Q|7*FJO>U zrg$qpY~^rBuO(iKL}ltB0v4~mTEV6C3Mh$6>@W*3JH%FLS!4{wpY8c3dqGqU>sAgF zQlOO}qziugIj0L&gfe{zWl0z8VVQo_#U>#G>(8;6M1g{_(ggwT+ayEUV};-I6x?({ zvY-!`jZNZpK{v-6zY$V{IkXG*Wfni6U9ivXg0dTSSh^tGD96)jC|kV(D)fN8Ln@SO zHfr|E%t|_-KZJuvcx}huya0{O!>?>BWXc!5bclE9Nbzdbl*nRcj5D3pBmb zT}hMFpvE&F(72qJ$p(r=V@7~Bte7qFG&f{#_3UR&8_N!)g2c0DkE8SfN*=*6E@65{ zj~b)6d?bsfRz^=WJ}fwlp15WxtbaNEEkOT{LjST=3*PX^(nf)r6$5si zSW2OKV7pk71~<8M9pPc!hEvcp6r8+sv%lh1h_1mJ-#1MG)lM%>~w6?NQE zJ%ZO7Iy!pXZ2OyRVwDS-n(XKM5c7G{=iTvz`sNFrvt^&8K~6LP;-M!xl(=z7pmsu8 zC3&ecxRZc}Z$E&XF$uIszdm9{l6>+JpptnATP|n%ibx=985*YuQvkY=z?#;G$t7!A z_Ib~}10&Ex&wIY?bt#B=0Eo>A%4u=Cu4>of_U&MpBRZ@uN5f;|7T!$O1-Rkjt*D+! zO|3+YxXB+rKYD=C-W)oD#j=XSrE_hT<&s7Fl{sfXfvc1?j;wNYNEo*aP>_B5pv&hD z)Q3W#H~p76FjfQ#mku+`!Z^r1^J^XCSf$Ywa0&95vgy7YW&&B!gzT*?@VQi`4glN? zf4xDGkwr;et{F-9aD{TBjNkxY8Ij4B>@llUd7C>-7plbBpYwj*keJJZG`RXj+vELG z-kC#2Q~tD@y_cUuS}A?xB>K{?WI#8TM4d<*&Qt`vKvWa3pv8{`Myk7)?NPS9iK#WL zG85gs25eqvBBUJ+dmpw&+Am{9)#+Pa}n75&>U zt0S_m@pD;BC|nBZP*A&YflA22#RYJ^ls@0Nst{@aj42d7qTm$j^$1-Z8A+8Fmk$+3 ze@^A%{(6915)f(syeSN$);6cGvQaBkLvF3Olr_8~ROHPQ7I{62bhbBoi(nvt7WI() z+PM%0QtC3h0%i`oSgZFI)j7!W-&p!$2SPD)w1<1xyl5M$r7yByf>3PrY%NiTZJxf; zVLPWdDlB_pp-iFRYMa)&GgrY@vtJi~u00U6Q{`2B(VX(!G!b>SgBBD3dX1-&0&6m; z6{3TOzbX=n9ZK*87cfL;JvBj1B$LJo#B>6oC=(%7rOx~P4nn53#6a3i!Sbou+tN|Vwt8^(gJ3L`XJ<5&q*%-x!S?deeE2b%Ihp!{sxiM zPyJ}9`eKl(9b#QH2`4UhUi7t}LHo?$!r7k@YK04eWrf?xpa`^T_%b}7XS`w1@8vS( zH$8l|bQP2_B*XM0?M;TZKsy0*X7M8y18Qe-p9YiE%bROIu~J@ekn`Hw!%!O@!5{-S zXBOwmu|*VHIcII3J=u%_DCV7Y-G||k?L@y)nlTT7S<)x#a1R7KEGHs(frxe-Y==6y zb_25!TAsAnoE3oD)BnRvlyn6E8OEs;6Ew+IEHa;o1X(f1fGUa|2O%SoQnLj~5v0li z8OE$bKn@**E{K$PnE`Pp1oG)EhOeNV>qA!Xv-qd6X~gFV^jQ<7$$; zG?S}AG>%{@rSKCnf!x)g<3LMvDaatZ3V zFzQ@|(2YOV(Dc@Q@jX3u<9GDCI<|TYyhhx#)~kwlAaa5-Y8cNtQMT%@enMnR_HL}0 ziR%R^hQ*H~J6Q;)i#iV|jNEvS6$;@hAt|Xvo<~C%%gK?VaZ*>RaInxFDi-YSlt5;T+X4w2yJ=kO8^xFT!gfNZ9Rv}!cAx{W-djV1)gj>-lB7`f7 zy@;F=yZ)B<+2so%?-P-xflVyhkmoO27KH@x2tb*pEjCWIz^;k~7Ogy4IZqAUMF0a?Rc0p@L=sVY+k$x4W}mZ@3nB-@^kOK6%Htt)2Cf1p z((49a!{({$tv9`xZ2h*4ULia0Dus+FQT&Ot zMT>pX*j@aL{V;OuS+TC`NM1%_QknYRE2dd0_udIMVAmEvcCO>!NUWQO!ZH$-7ScM` zk-)uUtGOXLqfv!DIQzQsC>CT0&UBG|sch{TLLRrkiyytPCyFT60&;U#o+T*0J+IwG z1AD}>8$ez0G4@a?>fLrfu~&m*Vyk&@!`1*BiL=qaY#^qoqW=FE^{>$OsNQ`iPX$U4?Z zRaZF(x((}0s2w(f}R z%+;XV;LZ0BPdQ7r8Hz~>%GQ2VXz)A09%$1}DZHw49Z9N=t+@>S-R3|QXj|GU9Ac_) z2F1>=<+~h^cNvhwe2`PKwN;2cH5;vFVzyp>(oZ7v=6XiVf1N+JQ+7oyf5?V-$;APr>Z3*DPCuDZX}^jR;7nV{pllY48N<)1A5#EuIU%$BMsnqR>#A& zBnu^|ILyC8a+)FLN7YjlqJ~g;?Z_AwqUlzMaAlNNV5pDY_^=AmztskW$kjw|8jy?w z(z&e$a&sbxI0L^YnctHueWO4B1Q;N9j}cL}en{|9?hciR`5Ps|aNt3x{#56tCe?Y6 zkVtU>W-5M*Btm_9Dze9Q#*$hr>|c=JsY)B=gUX>11Q_MeL*?LqT3tbB$544RX5w|( z@t55mk%9ppkG_hDoBBuMwPO;->3p8Iro`q7zs0cZW9w#_n5|$^v*ZOt8?q9!5nibz z^3d|xaDFs~i9pmd$Ts3+i%%`v>&OPv*(HOtFHXCjm0d+CFKOtM*nf z=6hroK%U0`pV{8KBL)`Jy*L>w{9L(1Ht^K=M7?)uS?`shQqRgby|?zq9(rJp6qW;h ziA}Brz~FD)+3(8-N2b=ZAA%#)8>fEzPguS#LR>CyR6zYw7N4y>Cq%`)nuYB<`G~Ts z6yz(PFCgQD%HZGOLbgSRl)+U$5`qigfT8PvxXK`>bt<$wAldrABbJKbb@TfV^LsRZ zp#W~fFBAZO0Cg*WWI&(G0<-he5@8g;18;&+otqjQ1@NzduDc+l0C?sgbj+cvLwF`X zvcOUmyYZ8Xgee@A8qqJiay}U27BH?s7Yx7+gfmv#&&<{?~qM&>?K(OvojyH z$#!NBfhj1JK)MtJ_#FNtU*Ma25o+JUbj$2@>Kal4jJE0M_j~@gg7gMDR$tI!F%}T7 zXf|A!6CT5`8FCEb2>{iJ4s1hZSe))(YpRtcm8=OlfUdzY4NQ3k|A+B^i*(#m(&MT0 zOK9NnABtcN(t}ahbw`mdB0}3>F5Q6qGDn21Clbi1qFNz;gvD7p#;e0Mn5?JptDbrp4J)cqGjk#zSH{vmyn6ydf(nKPir&o#wjYA;c?yVl^)gFc4m3o_yhOPL+HE&h2hdC9@FoLC~FEdr-R5N%%o`I*~upoqqcR zM$CUvA`AyF{QH|`{vc!Ng`A$*7Ed8W3(sk7GnJ5|n_YVeL##24ekT#u#WG31GlT3T z=wZ+G1h7vosPHF2_$(zpY$ZVjEY>_lP>o=og1gJJ^Z%&qR>4}M);ej>Q$p_tdKG}? z1hUaoqYPt^sNWzNMasy-!Wqb0{62!nq6iiQN1%`Rq)v4Nx;P|L|Am=#agkpJx*89P zdP>OLjRa-lSr;UQU^O8ybjKp}P643b8&gBXfF>HadUrdfSzPO+@+$<=S2iMU-Dn^# zLFO|*h9p?_b~o8RFxyZ_7lA=UmWW`FxV8wlG$F$a02?(p0I4*@l!gl6VocCdfF5!C zFtUD)mI8j)vR0nb!9aQt`+;^)(KzS5_U2o~3&>2*CpF9(s1xG{v^Z@`CW0;bDI_#W zWpQQQ)Mf(D{JU4UD3>`j=_{3cjFwBGBOfsM#A|oQ+>obYuiBYkJDD%;|FFWjAS9eC zq&QzV#eS|-+!lIW0xSflF1tTS>`{MvTbl4Iq3q*-E!TvztS0QD8_-vCuBV_%@Z<}P z%93T$I2*V##+%B11qTQ)EEJ*+h|WS*<3?T@ANK>o`-PTV2c$4M_C_*N_u`Le$she2 zBj%r}2vr>%55hx6$DXdH#O^KCly(CXPPV^u^=O-%-D^S{1Ogy~D>qlvU}AOEK5oq4 zFlTC;NhdUMG>C|bh={opy>drv=DK2T>2%&LKqsNKCRA_4jo~7zvyz+Z^d3-;*b)_h z#EoaDpPFIwUeFmbY?wdOyfT%E)}1>olKw?1bHuPyIPD#3k{rO;@1e_07hLJ<{Yu8n z_$ldJCD=-11nd$RKEW~KC9zpj>DM6~SE@kjUdT_Y9WHcpw@yv0>&K8xlx0|vSYRFZ zm*b@_8=GQ}jxNT`MR&r@&6RLQ%cg37KT1-$A9ZdnsCho=RR#B1g*A^ei{Vg5TP&a! z@ZLeT_Lr1%)q*l?eHDgv@mD_KA}Kq?x^C7eRdeNnj$0W5)2pRZBn?EFkXz)fr|!J(v8a6Ey*>z3*kZ&&g}wA0 zYOMN~`6DXqgM`k`PiZDqVb_caa@)~6q#Mrq%dRJl>MU^>=(dfYXq|5 zDT;z&G!=#`Za)jIsO=gAVRt4SraP-QHRzt}y^nSC-E;p1vlXmjA+R%o5=gVvRA8!u za>_?9EqM#jPi+$a*M1Ua2#vqq3^f0{zb3T zODH@41%=jDx^Y{emGs#P+d1B*ql9g>%0a+FTvF*lX7LKP#W+$?($Z=wtR9SkH==)ns6`RAGbH6@ubKH54HphB3 zbXgLnivdgXyV~OmUv)sT^KCVilG zIW;@P^Km$AreB?jC2zb85#$!=dACc?WuT{cy^BD18DEB|%vzcAD|tEv8hG(dES?9a z`=Gykx^G{Iwv+cB@DD=+*Li1YX&Qs;5@V}%tA>>gHF%DM)h(mNE)cicM)MV0{cF_+ zDgeAqGaw7-&6Iul)5DA0%6UvcytKpCpRx{J(umFlkkmfE-7s->EHTq!dGG$QN{w zy?Y;HT?5BDPD7^x&FekvNVr}I@JGU5{gE`xMr)yUBJ!S2Cd<#%`5RIf=e~RIy$7c@ z6dKY$+wjkQ(;E+ZIXzsJtHS?-Hl&~E`bFCZr$z#n<~#~c2vP7cP%t$t-07vJx1IK3 zi;zLgp@Oz(Nfe4d|NiTLvdLMYswowcNi;4L@Yv0-Rf zll~Xh$QPQvKLmuvba^9+lVMGF4N$bOrAL066QTBm#-Q>rsZi7+iGFL>KsOi+W>Avz z2vkM~`83L)^v2c-4L=EOxE0qnJQw-HwgseuoQKbV+gBi!_y{05-x^;3eV%}S9%a;4qGLz(+UXjeX2uM zi0_6qTRd4sR|i!0)QuoCOz5wf;{d6NUGCKBv7F1;Y5FkGT1)tfKCdT& zdy&G&VF}w7;Khg2Vyiomz`%`9N&v4Ka!cK6&H;;@-g@A0Bm_+iXxEU5Aw!N4ypMLU~G58GM2=kVU)F8LhgXgI~`xJ#cf#1b)DG{G|byGl=g2F=DLl<4<9Y>b`&UR@!{eO;7=cA2@v ziX(%fhU{3z`v8qzS~s!3Srh3 zg!Q3bt?H#PxILU39&)F5-9}4)!~x0HUn8*`bPpto?EH;ib(nwu?*eSON7+I#=iZev zwp8dgrmG}UcAngetA z5q&Cwk+6^K?_9?p9JKz8wuwaYO$$lJZ9C{=U-+OiDv7G_on6@RJO4q`)SxC(m=2@d z=Kde>be%{pIHuFLVC|N6+$;;4U{B>eXwRt>E6?7Kt}scHJ~FXAa`al3oiCiH7Pf6t z*AV^LR}|y}4hR}iV%dm$5=D0Y4;4%a`X**dj*fUd&>3LS1uW31YzKq0(jVV(?YM07 zLC0EVf|=%}XvNaW+KRKF@XfSGRv>!O{@kR9%@bpCoL!#8#-N2o1!!3HUdW6UzS{K5 zsLkJ0AL>Z()U%b?i&r&_UfplvF7xc|%DgI=#`lF;M_Rll!kp9`^DvW9r?DS8*!;3gqUIF(QKwLNp5xK>DHS?L3!UK>y6M*y^?~Om`abln!`(4ujN$G()PB5; zNSwQ|)xC={=c$Aix*fqKOY$!aeE-pnUOaz*vb~LNaBhA`X|z%aWU!;&zD+7O0R00X*9n3KDQF>Dn}!f%TmTnx}HVFbS( z3bEml5Q4{kE^J7!n>Npa*?sInI4I7CPfzS_k;QE7-Jx8!Xf7+Mt}s8?ZS=p|rxwJW zSAN!*LqArK1uVPgK5>ag-^6K?vf@t)6(85)HRFJ0+^Z7Z?+Imm`e#yG86A4Kxf~V# zZlw~Zg))9!Gp0yt$4t~0%Q4vFRn>Y>38Twe#@n8ot$n^H*kR5?W^V8bfjt=lI~rg; zz#`Pi174luZ?(};W|_Drbe**+?~~kkPg4zQKT}t3C7x4KEIr2ODhRT*y`d6^a4R)H zTUaal5L-V@N8&C2g<`~qNJl>dw>*acmlOvi0&k-5IK9c4%JOm&HI%c?D#H9zl|t3f z=b)(KTFs>@U$)On(eN#X24ZzV+OY>(Y@ZP2I|H5gU@dF*0BXycT@7oNz%VY+2Wx>` z{?!cX?pM?+{X@XO8gqyi)k2&k{j7rLP4bf&4z-67DO zeNb?!ue>(hAu?n<)atW!Iqgte+swPEKakMP1gECzzgL%JxTYtBinxk{m0v{9L`5*c zDMA-UDi`thEPIpRCNdrx-DdB+jdeY*2!&Pf$GEECSArm4IL)`iQOm$S8C`v-T>e0) z{5v_EdR0uVbgD5KnywI0o=ATHzL?1`M&v z@C3twQx!x9`kAIkXx4)z-50_K@=`^GYry!}`MwIuqc)VQ-OUA4D7vUpuCbeg$}#2U z;v&!Pm2&+ulxr6^7q;|9Uudd8;SWQ(p4;rzD;4F#33@c2`v+N9oZe@o&zD<5`S0@c zW6yvc{tqtEOJVu$jxWn3f4)F_yJ$9KS~yoi&oXfL5w3)W^LJ-B^T2f~;&$XLn+MAD zHMnrM61B=CTDWL?b!P2s*75v}*y8b-i!Qo|TRff|Pd~Zg^?eT-N^jWkLUq-K^zcDL zI1T378+cUDlcWDIla%RVdAld_Aw+pe^o8iM$GpY((1gfanwY14R*|#B+$r$Wl)oAl zZ*gy@sX{&eECY8o;r==iKQ{;X`F5RT9UMOXrx?5GChf!D6{FVOcLl~?Dv3U0ciS`( zV{ucu@nFvZXH|4SWu(YqF(fZ?Wrf{mFb$%=97@G@1k8+aaRt^}x+yXl`N0AVsvGMX zQnoQAlR6m|t$`82&d!f(Rn+3UZldW@zSH7stDr6&Uw4@=_06#kb?I02=~Jwr!w5E z)9<#9oqDar*+qStXN5&NJW4{g{wC6rtxfwRfgO=T3rO-X<_k*(-?T5IF6N^ivkqtk zRBN=*{Np#@axU2H+}6N5R`ba>h$Y3VxlrP}&?6*lF8|IKevDB^Vlw8Et$g7>fyrjL z3E_0|jm}kXL|S*cZq*x9W^KpX)X$0RDC$v*2*u2Lz{gMnA-3>$J%UXR$u|OICP3y8 z0C4T67`giV55Da6${w=6v^hW$;xFTZVy7EVt<1ZSZ3fq4;+(5z82nmnXh;yyX`iIq0kuKcVi= zoz)~)rs+2B1rtXvjpE>)sv!bonT4sA{9yylI)B?>pl)$#dn4x{*J=5?|-5cWAojDA(={fu+ zFhxPD+M%ixWLPVF@!v@0qQWHkv1K+o2x+pc-7YXr_5xVtZ@a)bz)|#iJ4EzQv+ZUX zGFd)vvUDcjsKN*|E4JnjGQ5J(9XDg82RnJmH1fHG70>PB)k+fFV4U9mIPwG2JIudR z`{Nbf$m~a(_NVaFyZqWmH-_}fj9kO|Wk#+M{gMulmNBm18~+MOL%N*YyB0nOe4yhR zL1qGvIkd$UN}dECN$F#yOsqkom&E@I{+wzWb zw`lHW^9w#K+?a};PPP-dO}2%Ek{OM&d-23l+VwwN1-pMCL-!#hFI3}=3tsDj_pSsk z`couuAY59ivr&UK3K6534vx2-g=pt^^h$CYTASmsh%VosGT)FybP&Qbm1`vi*bdM< zj?H9#gR3Shzt|nw&*EAx9)WQ2wAC_gu9G%|2pI`kv0q+;DmF0mI6`f^AurRT(=>y? zm6n)Tlk2c(7hvW6U&40x8v=fgSZuMt3bDM}r+N8wnO7oQ+d>{9yun!5y^Iumh_vj@ z&~c>2g@P|cT!_035g_2SFn&X*135aACz67ROY~h+fvh>O%aFazz zwf8bbwMcVH)Z-|Hs9NkZIY)!xfX_juas9FTY-4ag07P1BQCz~y!vL`xsjrYxFJERg zKMvGa?aR=q2({HCk)&Fq1AuktLna62@bjW`02jN7`yBYS8^5~#RnbaLDiRFCdd7K< z4YloQF`J=TFgF)J=Md!G3J|*?=|ndw4&F(}OF)6g=i2@js~NvpG2SC^E+s&V@ZrTH zVyp?0+RIF+;5mH?jKgpykZQCmAm(RFDCji%wjpq z#ywA;!2iaLbY*B0OjzEvKmZCC^?{Bdg|16ABVejd1%NwVZgmEz*bhzGM$gQ+z<(8D)c! zcQ%v_|GD-OE^{U%E_22JeL?vx&K$OJ9W#FNU7PTi`EmEM3E^VhF+Vu&2Wh<%6aY1T zFzyFu`$0ZKYhWAwAblhzc7Y#E_`#GPZ1#gKesHNDT;>Ot`@xl7FxjC+CA-Zpr2@n! zd(Cg3`K794{DApohv0Y4{0^DlVe>m;en-u3fxr2#95@BGM~WwiE)xEV>`01dE(XM> zYXq6#Pv8%v+rR0Q4|3TJc13A+fsv~Uw*VMdRO4?1uQF>Q8xw`$v>4;P!p!z6UE}Q< z6(IS+*|E+-Ra%`MI`ks0cBO;^_j4ZiqcUP^sE<^TP!8J^SBou_h}ar% zsr>!z!oRwHCO*8i5+0mxXo+smgF|(RFXO=()-U718PP9e2aoEPv4acvf_62wPps>` zI>rupJ6(?1ZJO?MnGU3jhf~*W93u$!u&19c%=@NH$c9ruhoaCi$p!@ zdcI+)Ye6LPA9jVoKOojr-MGhY*_mV4FE?PMH^((|A zN%r#N%jTnBSt#Zv?okr6ud7npj+*v`N@+Ekc21?Voiy!~N@+7RZN5z-VNK>^Knb(V z-xr@FNbjZ&BwUTa>DxPlCEAODJ+B8l3Ql+%%ns&WSV^e0a zGzRsQWRnLP@dAM|ZA{4X4P;I$IF6nNd1uNgCZ!K4qnvG3wOzsZgG@mZuiL1|8s>D} z9@l?Ocnd2>UV#Ec9Nou-SgH`iscbKkQt9Ul>)1uBM)HxvE;#Rtn-kL`r4w!G)or`@ zB<3T_F25ooCZv!yO)YDsA|E-R;iAjglP|M9xf_Hh`@xY8-f#pw5;4FCy_eaE;N}qv zF-QpRk+2bcjNpkk8zDG&X^D;KB?PY{vk_7(w~N>a$uby@$T<;G%1}6B)Q^bXcd0aR zN5PLv=2-F=B3M}zA{WPs2%xrg9TE7VK>{>9=Hkcg2##Ni-F;H==sA}ux^YE^#^S4a zP>~m38sT0vg*tu$D7HmU=ykcyZObtz^&)F8reA~dYaKB;{W1g4kbcop1LSZ%c@HhB z(j|ySHohWyk7L^$q^}n6khyP%HxUJDEf-#!dCwT?%xfprQcqb3ww()+>O^@gif?A# z(|(gJei`GYP&~M~0Hh3*uq8vD1}Be&7D}2ai7n1}bjQSOLZ>=c4Mf`h!z&wC_oMKe z0fI)1i?>~H==L0$$04Ck5(HwUEhP-W1c6veh!npl1z)@I${$00kz}v?JdB0w%}UftQY~qw<`5&g^2vS* zLGeW$SV#uuWBr~S1Pp33xsRkFC{rex`#5#_*?<69Avd&xDqKO=vOyE;;M!9G^1`()Vr0$(h-cfiqE{YFsE~kvy_go~Q)MebCX}FJZ5xGLP3zldwPICq~J=z@YAC z|2IrWLY+6wPc%*h!34oUUiG4sG8`Tg6Qtq55Df{NpEO9BDFnzL>rKIQyc120*g;yo z$^O_Hycd93jmVH)qmrU2$A%Ktb5jd)E7mhPOqzw^{vp5UqC<3I_*)+l> zmQDa934&<|m;hOO#An$A!gj&Jcv~9hj)aMaU>KiI-X{Y7klNRS5ODag?(+m(CUO2= z7g2WwATC%RR*UwGoPXQ+JSLNR+u}x` z=P>6&Fo6(yuxp`~!mh(e@k&c-BV^Pmd*YNjS;l0ZL<)aupI+uM7m@0MlhkIW{y3D{ zZ0o-a0TG2Ty-bk&%O`?ZUOYhgs(h|)JJ4oH*eqiqCM1e4Ynuz^?Q&CjRV%cMkBZs; zd%Tj%t8TvtUMQSTo)=9c)OsH27FjX3x*k$m#9Licwmw!!x}AOnQXm*&RY_$$7!DF{ z!!O{R6%q_&=(l)e_P*GfBgKa%V|S5{butZ7z04oJtvKt3KUrjf@s>{B*SYFG9F6~o zpJ_^60goV0Pbd33SM|dsa*MVBON7DT4-|p7d&FP>!5D1&+qoR#sp?V6TpTf!oA5w@ z#JWVhgxmZl%3%0oM-I&Za6v1#)x3IvZJs|N)OtP=1I=S@Xn8MB2bgRKh!i`_7sRvG z>?OssEsWEM28In}3>)0Ok-R6i<`O8@z*-qxhL}jxWr#~TD!2@JRfl~GYXl#7d<%cU zXtZsYM0BhKf*pCiMLKS-+MJe60+)3-940wQS zZVxci!M622(><*&D7z$<=;4bLtoaT`pcx_9)DG}+26p*<_ST^H^}21#a7qwbwD)g8 zEn0YA4k#ImuAAeJ`La57h;dM=_>rEI?;7!gqkgd92gm&2xF3x0T}g@n7HRxo+z-z7 zgAIPL(GNEH!3BOW;RjQGu-Ol`_`#)qaG4)m?gv-;!45yz?FW1OV6PwS^Mn0Im3CHySz!z_v*-_eH;{zC-YKOgu=a6s{r5&~)g?S3ZBW;cnM zFS8rae9aDE*(>nX;C!jNVa2>bh%{wrdP;rMJya#;BbDzM^obXCb5LM*em9^(S9I72I-ughqv>Sg9lV7+0mw}D^qX9u|N(1U*RAvP6vd7T0! z0);4~Uw@ZRW4_}ae6V1HFw?)r|6_)yb1QR zM^J&zb^I%)1OsW23uPTliC+Ov@!R<0%Zov)?TD0!r6Zdq#|&GP+VzJ}IKaaU-d8Ps zTG2*UwwO9)vcf`z)opkG288LZK_QHPBkgljF5=9Cj0FwCS73f0FdGUmz47YI!HVQ~ zgVn{ifR!Aq-i;X#CqnB)?AvFkt{FnPUS?GxK>k!0_Fap{z<5${ca86v0lLgN zHtxU57tVlS;YD*i$xTD888jfiYM9MFqixr4w61{}T%MOgwn4g&$bwSry~*-5q2!2e z`sT{u&kL=nKjI7mF{+Z|=^koGwS9lc_GL{$+J}131Ha`&te|OihZB)RH!JcANt>k= zN}_nV6LEeP5$8D(m$O^T9tl&*h8q!ayaN$giwLv1M(DVfNcGT`686up(gJG7L3Q&D z6b#F?qRE1)fFepBq!bi?k3U+w5oNq!{o)P4%CW#==_esSbRrI9x!-akE`ohjyu*q3 z6?$E<6A^;Gbd5#zJ;-M1Qu}p3zn0psTS0v34Eyzdpe&tizuF*#r6cXvm0$!PGSo^g z0eK~EToURZ#?+xSQ;Urb@>aEg;5I;T$J1@ELU0R|bYvU1_A&SZTXe?Y)5ui3*{MyQ zZ0sE0cg2o_JS$PULUPGW{#8%b0yFsyB*&~JiG0oKRQb~R|0KD_F~eJ#SquVY3-KeU zxKw7UwKxPk^=t8UrxsPV7Bi$4#p^W<1=6+Wl2o=mt*ko9>%HnsB`?b8=s%OvKY|97r>HPWs!lEG_L0Xk)^MfZ`w=1z{9hU^8;Fv`vl{6!f#Gm8bK z0muuF+6}<(ln=Rl%aFG_u7rwYU$m2hP%yJ%^ay=d| zH9Y<*bg$vDkqS7yg%aAp#joIxa{y$e8H^-&zJ-P2h`sGG08xqxpg|U|5xr zqTZq>m>>3mk17L>5_qPM`8FSTMj7x91b!ZW4C^lTfq%Ou%(@x^|GN*I@PP-)fO)-6 zvC9YE-3RVeVESZDqwEN{(piRvmp{>Tevyky2pNxJT2u;;^pAY|eRol;p zY%hZpQf$@!(d;qd%rZy{kF8pC5^Bwvm(u%rJ_VNGtj9==P>tRTUk!Drc9g$h{(_DY z1!U;}9^j~)Mdr-kALPu;VGs;jGxChW#$4@g(E4)A{G|N|G%CS3mDs6erPhN@b z^Y_K6^dGSOF9D+qHhtT0dhwQ2dQlFPwk#e#9yZ6gI+I($+^xqX zw_Nj#fk*C<^~WG52kgD5pSjbbbJZBuXflk(G6>GvS0Q>F(c_WUFCYq5UcT_pRh&~4 zI#(4U?Kt3$$ZY*5PxFNI{_7+ett<2Gg~PGaHv*ik&5AB!U&$H6?4&R9psE9?a*+e+ zIu{w!AJjWvxIxP;=9Ih<6#KxbUazKa>j+rX@E}%Y zTcmAAY!Vr%DqTn@HuwH*`$&xB%GO`K$SdkUU^S$ZEK14cj0$var$~bL3QMb!Bf`8H znC2ZATf@E6$m{eXZR{a5b}qDHlTXrt9HDeQmFhLS-A{gOv@`h>j&40w-Tp@d0jh_< zpvQd%TNkpT( zIO5w#yIdMz6+*=QRW^I2Gs{i#h&&Z zkV7&VTRfgN-bYfGFT9NY;Fs~S)OFiZ>=5a7LvRbFAH87bng;Z&EN%=4EU@a* z00FIC+J*bvxEL^sA2cgn`2{~X<_E|9AfD#6ur+=#?gwZ4!3ICr=m(qp-~vCG@PjEo z*z5;e{NPeQxXceO_k%0_V22;<_Jcisu-6av`N4iaIN%2d{b0@y4*9`hKR9B8Sm6Qt zGU7PKg@f;hpH3or=t(vo^uu;;gsT@fNoMs_fLcEvy#k&O-ic3a*R5j%(<#~Zu@oLo zCfY7W!Bm29Jl0B$3ia6~jhr16k1X!dM_z?H1xGK_PXZ(xZTS%U~0mrs;EILq*-XwTAKhB2dEm?s$uQoj8k``fM&JG`~9AC?{lAL zGLxq6e%|+=w;#wn&vVZ`_uO;OJ?GqWf7!z?KD3(9fiR{P3B*r0vD0@5BPU_TctujyQO1$i$Gvujt`o&9)QM3wsE@oye&GW&(TeG({pg zIj4=Bx-B=YGsk$ZWG4p8XFkr5mh0mo!n1H<~8eg1HP#MDo1qZcE~a_&49 z#Qa!^;Rus81ea2=C-|h%wkPQ8q%@8pAtSTEhl-pAu>2y39oNuA?1wYV2SyGEA=^}S zv94*xXq-uQaL;F(P|KHr=pqn9YVdfId#p2$!|^UN$s@k%Qvdu;PD0U;%G9Mx)5%BR zcV>vEk6F1Ab|)LRQ`u-{{&0O1ls-?tLA~ugU!*(3Wga3PCqO*X3$_AqSY_u`PGy%% zr!F*4XF`)W(*et|8AZc#aCh67p0J)@(HTIbK3eOAg}R-jc|bS24a68y_4>nR+aI>r zhaUUTYajaU!{EUByHJW^YsVA2O(tDC1wTUwElR&h;GA82tkiG8zVr+R((>I**8?s( zr7Qy`q{DrGEEBycoVGggKJ%UO2+()$lqSd%lCMDEi zU!;9EgmDfq6}!Kq_5QMTn35qnx}CNNyA9swZ{?H6yke zNGGpb$iLzBtI@A4((rn$=Mx5?p3)&vNrSkLwTyLkw04HVsrLd*OVB>m&d!;8YXH@o z@P;DF*M%MRxe9!YcP(g#5l{xTZZYz}saBEO0m|(n)Lz{%ER73h=&>2tk16Pq;Y?qK zo?wPvn*ks$!=I7eme3o_FlaL{tm2jMBVPt6u=|gK+6mO8-)1|?pKYTrTfbxUCjkQ_ zQ^OnE@uZ^Fz7!25ZefCR9}qVC<>Ipw9EVc;2!lu4EXSh{reYg9S~p;WyE6J&ARLIb zOPq;2BQj8Lb=dmgQ*T~8(}aR8UCBE@Q$?GM5K(%Q=;W%Y+@7Z5wN=C`aWs0V2-SQ; zr-6L&5)bl|4ifZ)@-vh;&YyxfhSv;fSm)U7Bh9aQhYd)Szvwa^Sa97uR9bA93i@-9 zORJ#e!+P^!4k4Vf#iLcW1dDBErW(Q+O(JT0*r&F=1nv-kzBw;8xb`^jF*&tQxKYk! z(5%;Rsx7sx{JDV} zJy<9fQ8P33tlkyFAR>$5@^-hvnj7tf_M2qe4o#x$KoAUbO%?@0C5i#D4M6RNR4v6l z>yGPTVdX!8bg{gpR$SrCh#E;RXa~4)b}q+scnO2GdU?QLbsVf^#0e;&%998=(Supg zJH~XO9j&n%K{@^0!=8|FWG25HA4bxMS6O#^3LIR_7ixD|2yYUe&@|>62vHm7Pee@? zWL0!<`tLEC#K@mT-6q4|49TKo_X2yWlAO(|zA6})e&vp015?(lNKJZSfrp9Is}USf zx{)k>I9*Fhv*~s&EOQ>_@6>4FyBejv9j$vOt%D;uNa*ciXQ8v7c?AaU-wZ4?m3W1~ zYIw1&iJA&-TPBn|nHl?djJY0^i`-qz-Rg21^J8;=TypP2up*FK`Wte8fVnS0ZYYZR zv3;fhPT6_(_Z))Eas?P?8OyJysk3Yxo@?#>=PuS>z`i0M z2F-^#`P1#ECktV=S{Oj|rrR$*9@b}cQsP4VS$8?5nJ2_l<>y%hpEB@s^B37qcYB{a zQdWDPuqrT&*Dz6?ZLs9^Q+E*gG$l*8bp zX$aFUj-#e!o#q`;QTMyf-+?a!-8&Lb-O~+ti1XyO4+A5*Tf2-Qy0BbDd+=wQC3Y5O zuN|_zwprzu{dv0(1IhUDA0Zh}LLS*uVW`Ot7!}~2;^D3pd+Oo7=y15{u+SU&7;)DZ z;+_NC6g+)2nLuI3iF9uS>M zX^LnIK(V@cOon|Ic^TFOGTg9!=Iig{vZ7}@RJQe{DzC-y>(SRfz{`Ri?^x} zm^um<^NAqzrycY=0?@+3{QH8?A9c`21)(XbdGQ?j=!R{lhe(zj2a-!z%*z`JEM^_- z%9gPfa*GLb;IuLJC|a3;m>D!;=%w1w+LZ(kCc;M!#1K*78fRy0PFD@>MH-&yXnjJA zO)sH6V{^-Yfz5w5ir5(&+ikD@D3y4BM{B>Di{YTLi7+=;h7zY6>)71KO77hqt-Axc zDX`?%fBXTt*CIEp`ux~#F*d_}0b{d+AlJJBjIlw?!5ACktQ@$NbTXPE#zyOiVx*k4 zL~@)Wk(@R%L)(H6Gu8SaR6|Ze=ZLW(wj75e`(?i6u)p?9 zzvA~rOw4LSzvBM^1C3nHrHUW9jcksH?+qn`%_V{rk8@1{c)Zv>M(v}mIjaMZ%lRF$ zI(eO0%W?wk8>YXqlp< zbfuP1l<6Cy(^zUa7FBA#{d-UoGt|(ft(}`YZJgr2|2B^;mrSJilcdjz+jgf{Jfjm@ z{CO-MQ<%aGc&@41Xzr_cEmiw@uK0dsI7cLl;I+ft z{K+IE&Un#qAEP`<^IC#d;m9qlE899h_C)wo3}PFt8l0W_@<%4Fr-xCD)6>~Ku^m&) zfl&jo-6)(aDjW)k%ErfPq+uMe0m9@|_Ey+d{jTE!Ho_E+5BmAlQ`z6jq6sz_Sf{dw zjr@GUFF(u}RM{(-`%0I)V0`dTl6%bPLX-zo_W8^`4Y|{?z4K$4V&j8p1j%{hgLZY+ zs@{3NCx?$~8y~$VwtaH$SQX_gTt)*Kc92~Ta!T%iveXBeJI}+p*g=-(7`tW79nK#* z$axO(sGJzt0OUVA$gn~l1v;nZmjw~7bzoTxbRe<>tH@s(1iRjW?Q~#A=hdMS?}7S+ z)^OiT;M=2k3vXYz9ax6bP1Dk?ne>9ac-it^+y)Pz{i@kW3`R-VxVpDZQSl;aZw#0s zs@s6d1IzfqY-8R^uuBvy+qa(>>=^X@Oqy+yAY;bvjv3@F|0mBs;2=*06^NuplZfOu zFa%0QwKvG4^#891dC+_j;L+h8hf?TIT%E;(X}BCu#&oZM|FoiWVIi6O*oROZQ*zL+#rl>!05_na*t%Jbt#m$Z>$Ae!IO*;jG6!6Y5k{T=zZ{)(0 z_SWqc;q@I_YjnhJ8CQ{LwQ>*MOu_NTA!y>Z+tJj(Z-Jki$CcSz?J$-bJjxp<7L1#|zqknJ zijAB8@E^d<(gL_KZW_e6>D$V=qr>YTbeuDhYRkE0H#yFU8R-+w*+EDb@aM(zDJC9Z zTI$j%DjVamP&gqR$N3RlYw{o_C02XUi3ji|jZxHyUcacoh>jCPgJ}4IXd`T84Uh3? zLiK{+2-244rb6794y`Uj4hZVS{`VAxpQ)m(RLl;6SqL1`ulMp{OqJWB?8P^$+H9!t zq*+&t71_kdTs_#H zMg~z0B9tIJls}i5ARRU71^cl03x|p59A-zh0_)Qtm*w9+OWGIf#0Rk)a1hG@+n%wx zamxyo?qJZXw%+Tv>V)BN*aivbbE9AR4Fr>8>~V|cK|q*7b>)7VXtW01Z1$oO_n!;@ zFC-2zJR@q8oT$xZTX%V*hG*a)qB&JEL}`$vG|e+nzuZ$Q8I(0~tXu%>Gh;HM49WP* zUn66;%h-=vLS#JQmiJ=9ed>(?;a0eDh5KCeOmA!;y*0hYi{#oGD0+vMEQxH178?7cTwDHx@sBHAJ%UC>NTt>7I`&*(mW-Q zLPR?a&~vQuqv+}sya9+70}uf-37$uC4n9~ZBOi-O*}4x+T*}BF-{b(^;GWQ}XQbGS zZ1wshnkK7+(BCB__)}jy8Q_gz*#@FK>Usm09_7Dppa*y_#4C}LcLV`E%{h-#tEybH#}xWIW&?K}3EEpSM*?6Erf zu^XHTH0((!djM=_@~uWXQB8nh56BTqVAx|B{tEn9$HPllTkvPW5THS7)7&x6hCRFn zx*o2gy)g=E;7W)p)Ky^353syF$iTrP`?^-UP z^NK_ruNBn6LO^fb^zZ2O-gZlm*Oq-(emJNy%y1Iy7L{=dbGK-*2!hFo#5BpR_zJgX zQkz*WV^>00%stYI5*@r#=@Lt8)#C170P`sZ^LVnFMvTlYN&iDcbn95pKTm2%)n`TeH}v2Gcij0QkH4`h^B94lcbG8tPgw=x)o?)0K1p+fGVYS>4_Y5zryER1TT(F>TF&ZIS%LH!^;CKNsYIES~qY+bee8LbWq!M^|g21-uTykhI$7%%&KEV~d z4Pp=Lek}^7s7t{|n=vJ)OIfJdS8*hT=5J(HGnxtT;^RL9FTRON21tSfr;PX?ba3O* zWW`;R6-4xCE@j4#AtPzz%KhDC$>r=XSp9Hb`NvMR9qD#FB|e0N1xVnk4$Q}Ehkk)= zVmtK9KLxtefzF`Nv(48Yk34cOLK3TCgeCc@rcn&RHZFvfP=@9t>?3$M4Ra&Jp8LIH zxB>p%EDt#DfZ5VH-a-n2ooWU4KA_N&3J0mzKyTx8PFW$T6_TlT861H>r?W!Xon;wY zM^WjjTJ4Jd@%2I{Dkc^)A2T&FkRNoA4?0L-3Hbv=h_;EU{r)}__a8{*n$hqlK8w#V z6&=}0yu#sLj!;mmqj)L>ZC1OEcB@`F*<-}(m)q6zSW8RTwzEyWg&tovm5iVG;Z4iN zhSp5V;}j``6(xFQd2s@XGhu0#t`l^g+kF3Zg+gY>tG{{y8M*ba8%W{J&GLM*S@NNl zKhQKhYzf!dn8msbcQF}iVyVezRE5(TX_N5;HY}_-lKFda6|)JJFND ze-lAquyi0~&MB}STh+A=Oyxzu%2eDSQwH1l4s3^EuRaE!xW_(WTO)X-xVElc3G}%jU&0;fVPU|GPPl_-W1 zct-{VQeB`<>_Bil{E;*_2uMex9EUPiaacIWK|!h%Jr6P53dBkW_?D7Mk(VoedNVhK_7|!1H%tdj6+_3_>FQ2{oM8k zI|OU|cmlZDhu!=8mzFfMrWJg83-%ya`b>wcg686%G!+$r&tF;~0(GT_5LAqA5|kDV zUl@Iqu0AN&6w!6c1pCMDo>LRBMy*493oC$z5XcizuV zD62li@hvFi9u{(!Da3WRe$z%F(WoY4U`TugGhT*_6a)CPKA$!d6oXR<2}46qY;0#s zF-prlzhrnn+b5p;ok}xmVr9)$5QPZ$oV~m$O0k@hz>x&YXzoI{-fhpj^!q-#;1m!9~-`lrzh|! zyKc_-xgBddP#khWX6D6u+tT8v8xqVCgYj4_+v_MK{_y{6P-ZyGaq;*hxUAwjsPnr^ zvbOwV)Q2~I05hpYJJ-7|IpWS0yrI&>%xFom7e`kL=;AKZbDlX``U?P*6+uUDN{79k6_Hmc(3&pbaBZu40?`6BfWxG|fg*)2;DKce;m1}3&C%rL* z-IjwA`oc zC2nrX3xwh5JLPlK>V9R zShHsi)gwW&S+O^tG?c)dE@FOo5yL=swIUe-s9Harm!|cj9X!H{1nppZjyvp##iJ?r z9X6ZdElrmC9!6EFP5ZBRv%jw6ra01c_`J#`iI;v)^0xeM>l5C187!lO0T0)&>)?i# z)Nc>(1Qz2!f-}7C?pevBSE|RAkjvEmhRc#j?!71VL+E9FG2KSa#D6-SzYhO<`wS|y+TWE zhX3e{Vg|1zMh-XGyE!)3`9S;X0VA1gQJ*i9U#sw=I6!JOTTq-U{;dJ!l7ZgZPUFq?C21U8?y*CRu z$konB!fs-!UiErpHjko0B~$(cc$rkwWyUG8q)Vpk?9|Ibo4#)-A#12kjk~Wy(2QI@R&43W|j!Aj(Jqn?{xv$qmQ82)}n^=9roA>=2$bSri z0bcs2wJanZQ}z015%N=j&)T0@E_Uu8AFJ8#u5{0n#>~26{0X;D35}(6UPdWQ5{E~n%n*;jP zn4J<&mm>PcGtgcri*((B0&)*4xf7wmnhveF7@+mg(QvfbPmctHFZ^(s zU}zbq3ZH*VVHLs~uPhaH*nQp+cX{9Kz)k@SYmH>Z1(Y3Y7mXYCdt1#Ikn>`{JJl;k zMjMUz2Cm39UE{LO^HyXCf%JQj8;-I!^g*24AM{R9_;@&G znz8Rm2`b_OG}8c%f&WkdCl2P!->!7*wnpQ^cbFk4T$TF^_5oV2;a4d`@!m%m@JYq$tFH+f6hrG(Zev!5?m*N$v ztW3k%wtYd`Ru?z zMuFC16>>T|I!1T`{9JV|<+Wdpr;i$XYs%02Q9%B~hvQp+>QWBQsg>)-tS{1&w=oe< z?IGO7cHXD(T=Zc(Vpq0b@1i`oDUz zxayrMi(CaFNETvZ%$rt53);!9lin`94la&tq42pli@%2!;WapHK5w#X4Yz*B@Opmv zfB&s4wA#z);+$tQ<9f|VeJU#>vN)r;m!w3&|US?s0VwW zz$V@RWZ1wOL5`wTt@^IZa#Ju1WW9Kn_dANt3TE+|KKGyoD1G%f!R2~c*qUf6#`~(% z9YN11oT)=~$vWi!;#GT7FbnITj6H4)L7#L5-8vpYpLW>a6~I2LBtbX2EK`G796@($ zDAUKGzq?$|VU&R|c5x1c9Nae)&TwdUNrImGv&W&;!7PrT5se)B2x@i(MI~3b^K8Hu zZMLf%>`X18QblhLiOOa1r)a)vmv8^uq|!DYDa-X}KHP0-Ja#iYW+FYPx*qTqMdM@V+gv03u|_oz4=gXrmP4<44fZ2}l_M_Dlg~l9A$v_KDjL*W zRZqEmUBP@L*lzB`QZYO790{%?O@A94cnSWCJlRky$F(J=FT zp#g{1EXexz2*?dT{xuiza<0G}2(iklrIwpwK(WDlyuc zehUoe0(iq=GqSNpc|By#QwFm1fQYCJp8X~=o`sBDKNDWB=KToTz!+~mU#$6!V%qVi z{H>5L9wP>8J(#Z&DEyf|Q$F7$pD|hu)~a={`^O;ogTz^1U%)|G>_>#V4~}jH-H&^a-oS{9X0P{bCpdA-|QEs zPSiImH$EAn7CxVBSl{YsN_3-&8Q6~9kyxYV205&Uc9yHrbJE7)&XpCxzC#uVYMk7r1;s(tOiRK4`yCzP4y#FGGG*>_DocG$xFfY(9xyXtjRyFsk(va9E1PpYlaujXiSkCV578 z#=7Kw8-HwN%$GT!5IY#p0pQEtEKDUPZcF2_BZ!%Xs-{Yt(HJaf=%wd)mhovEQw;28&S z;n>nEbGNwCO^!{t^2cLoP1}n^}pjVouruNL%WY0@zVAz&g7Sq zu?j*;qYt9Y;`^1(KB+)mM=+Fzq(WNl_P|lRjp~$?=wP^vuo1DWMzT&rKQ@+Q2s4Dy2}(@pb=WU426yG(^=XG z*A^}9Y?e0P%WNBAVa{uWpT1f0cRq@0a$3kX`%x~Fsd0nLv{^EVamB?_(^y^n!zC;} zm#C|1uFJ4;Oa`)5Lb?U+Xv=0$obm?88^j$&r!sz(Tz&ZB4BR0pUXO3M(N)!%^=kF{ z=~^p2k=hBfaf8r5tY#{6nVyzR3C1_G15%^hZ}AhX)KUlk#Q?m>$@j;=zuUooGypF$ z(lG{phJ$~X!t>}i&;w^7q(>p@5XMiIxSv->{MSl8S&7?m(VlJGrOx^)Bk8AJ8TA9+ z4?vcX#(r7-R6ksUa6#Gl4LzwBTZY0HQd8Ic_*oU0nX1a&}1ugox zqQL|jPLDVh$?>k~=U{=cxicxOM2tu0!LXwf!;ShP2%me&L%7{QqdZgFuIWE?$^VMv z+$mnwY`^%LK*+qIhu8n} z7@%_<(8UVW$*uQ(B38IerenVLpPt-LRjR4-h6ma&hfHFc?e*L{#^ia{<#_?45V&2e zX<6IperdrV??QB3H1crj9wN)ZREQs;xItMcH>95my78l5MzOn0lJk->zx7DHNsFE9 zuiK|x2B{m(W7m}xesTTJ>EP}X2WPlD+0|#VAP#qO?t^u*8qG$3T;Koc0gswzC6a*^ zR>H5N9e(XLRWIG`g)$z5e{7bJ_}6-X#gOKK?BicT%?J5{HbBHECHrx5)USrOhUA-F z>9taNxO060$#=U3lE~~qD!CPh6X*ph@HR%@)(^DqBmgr=HJ-_^rWwx!XHV}%31kIa7VUTH zub`!?7CP~G_nSm2jT6nqxg;Gh7dn^|1tz?Hvt?6P)tg-E-;8Cv$EE%Xds2;?{3}UK zE;U#`=u&>DDc6{kj7#~3ro6+XT;Njf(-ht{Od5aqqE}8*QWDt8x0f83WBvBFnrbao zBbzNb0-OpRORcJ7N!|3UgRa^yK+NV?Bi&VXt|MlW7Rl?ee4{`QhnpRlMjQuVYXQl5 zCf#gRr=!!o)&_S~{oGaOVT3fGEDn#mXA^L5D8#L+d~!_=ce}%VrQ+s2T|y1!Yi6{w zZIz(;F4IDnsY)~Ps>b34fib=SW3Jkf%Z<+PPe{&FjWo?t6yi>;^?|sZpTOJ^5 zPf&_~{{V2)mIrVfDgLH@ca>`{(#N(CLpvaiY<<^JaidZp7X`BSiM($C$8uLW`1d>b zvx~v^5FQ)nE&l5q{9j?H&{wO4b~E=mloB^C2iM%@nB#H`YK}U|!Fg3utM}(+^s>Bv z!3PKvcgUbs@u$2KUnn^Nu$4YAPh@1mA!mY&RFmKTmDeKIXvwlb!tw$O)P8v56n1S_!7~Kn~n}dGZ4v0B@d()4zqP>!C{`cuoTmJj5qhb+eq7*DXl4 z-2km4U;sq7`TR0oq6_`O$j?9w0Wz>i&c4$oJUG!NT*EmH@+7)c z*ZiKpa}9?Q@(KD_r)pML^hyaQba$XEB#+3l#Di^JLRNrDHDHoQnviJ2S7a74R$%W+ zeAD&_xdhIA{SDw;iYvuN-vbiyG3;y^3zC=cJ;=`z;n_lU3gy{+{iW7yy~V6#hrK@ae-lRD^7iHyi& zcs&l%A%R0aX~B-fx2lkww=>BJTS+u>gT!NPVz?8d7?+#Z4$+iMzjjE~9aYeXmmev# zG`zHEhA14Ojg#svcxc~TMeD3r8dduc^a4QX7FrOWKoyd5BW^G9mA~?H7N%JFfrmZZ z5W^G7=If~U3du5>Pa(;jAZRWQ%&!w}|AFG-jms2E}XbW2!%YIlB0cfJfNVk=cdzo>|<;fIPLU|r1|O4jS*`-2tp8g0Z=QWr^++PklSzC`BoSAOaVU9?hG zFcgFIYm#E=Z1`#sP>~&vj5uD)zknh@0ZfvfzSp1q4dPvV8;7o&d~{VGmM+RmDY_~> zY8VSF0abozpQs=bS^^|m?ID_78mj#JiU_J5tp_-CLTJVP;f?RYKB4YzpV{g-Slo!B z!&!x|hSXf0E6mT^lhh47Zxm=0bu`;07CNRs1G?eE!ShTGsVT&SSZFCv6O?(?RZ(=7l05)JJMxJx|vPfLOKjo7In^=;nzXL**$1O5G z{CYZ_tec95p2q$xnvy|`#c2_55c9GC35so##kSeQ zcE4bgoh$v>-3WLBZ(Bbk&tU_bielSLYzPL#Hm^O=drTfnDmEdDG?SD_m`x65lfrDa zFnG`$vCUGr)GW|->(H~tzZS@MFzB$?%b?SHM5mu`90--Yo??Q58joDvh4Et-3`7^U z^K>ojO()rFw=78Qyh868Xh#f;p@x4~mjb#Ar$s{yDdSuNmWEHgm9+s|)PW6ug3Gvp z1+eH2Tm7Nd&vM3tqJ;^6qA zr%PfLy%WmQk?5f@fwu)?(i7gela2&F@bp^mD(?+{Jrq0P~ zAPZ50n6*O87T|hVT#B50hyYI1sxb6|52-5kE1tZe{U7qnkYNN>>O;lE8oY8U)l(*9 zVXW86=<3_~+QU0DNAR=|2@KZVLQZAzp}hjdTNOg32thQQS6U3`NlWphoAmr?DhW}a zERTm`ifUiIjIT&A#Ur6~@zlJ<%czW2luWxx2mGZ0D#uB(cx&ebdGG5;5G(8r5XD(= z#__GAhp15-`vdw+W;Q@=F9d@%a`PF(;6?ds&xm`3nOL2`$o)~<-$}e4;OmV7l$EgV z@3Bu3>L>+YZK3?bqzzsfkg?za!JrUSQpSoNiw%;C$ry5#BB0W1dqzo0K*cL57m&zX zb~>|=J#DHpQIy3JnSK5vCs#^9#jArwkog;)R%%g2Zhq!5@0NWjWSds zDN4)}4YW7B@pWh*iG&2iCy4iTO0<>U<35Z0f?HQJ}5?7ip7Qa5tQ6QeJrzi2zk&H@oHBlSrVR)+AEV*uh$04^x z1H!9&M2r#r5^72KX3==HRGVT(NN;{9ihMC z#Lolrk&YNbjBqME+} zl~4(RAS1LKpuZdF6?!0>#B;D6DtA<(ZL$~piMO%h%S0JvXCS_aMnwfCDPASZs}3*a zaJ4zktId=Wv$0a=nET{^Mg(r&uJAo(*@np@mz})bW$@(%)0FnYR5XfCyvEau)RtsF z2+I*qO?HsNK{FljKKEJCYpWh%jnMyZ4oYE!QkY7<0>hNW+EdsZ3Q*Tt$OKi^a|pX{ zhkqN&el`@C7}6lkgmUK4^uG4)IM{?TQBG_VnxRL2%gvh9UVSs$8v6CktQZ;8w{8$) zT6t5v+-!0f8i;X*l${MI+9j@`j(m>@Z4U#DyTS{0$(dM>q+^ftVG(R-UM76?u2hWg zm~CJ++0Ey@EcziE{Q747I?{pR?Yb&CWYQiCtU{Kbj8Oq%NglvRs3ZV3FaO;v@)!u+ z5dYyRAe@WfrVND6xkjpyjdw{0=)pjhy_xTvN<&SicpoSUteW>>rhb^|eW=zC)!v6$ z_<#c{z4wT`M=QM#v+)53nmz(Kmm0j7CGrn8$3!i8 zaJ7)y8dkHkhg`sQC8|Tk+Yx zvbo=%LK5{irte^;;`~Neb)`;WGxln!Q%bY@JMb=Sjjd>wDiuCgw8GSOrmd|WPH|)Z z%W%F5N=FSKrg0jUVLXoLDxyPBtG2}J2r*7)K#B1hz-+=pdyARin-B%kIldwUR0PYv z%UAx5ru^|c%|A|s3jG&_j5w6JpAWD6$>T%rYtn0k72}hV)-zKUO_*+KJK^4z32-kz zs~B%Nq6)SyRYZ8>Rq6+#g$rtS5^9FJ_M|^JE%khSUS<^*J#I0pZlV1LvZ)tEU61g& z70>C|mVmoZ3wNOxeqPU#BCAW)-$PW!co0LVp)W>*u#D-4NNATmVCwp1#4pIecv`=} z=K)+qXO-(uJ6d7H&EkR)Z?XiT*g8(~S%Y1Hq#{^JD?PGeiL61S>K~w$J!!D5U5GX2qbPHJ{i4h1@ezXIQAkZcKu?r@$uoIm@S}}ZtsyIjz;YZ@F8g)cA(~bA+I0;Cz zZ+JyPvuuceSb)6dXq;|BNV{Hn~V` z5Ohi4jgxePYtJK2d6X+B5hbdOx8P5C?gvDF!%m>VN38J8Z9)P1RvE2jsR)k9%DP)1 za0UwB<E}gHL>XPgxY3Y>T4X=h1wONH3G~vy=cVSe(sixSg(3sQSrC?AeqjOW zwKf%0RF+p4q>`8(cV~9Q0)w{7@|U*;xlotqAd5uCCH1;XE{aAGzQ*h zwENTeZ0Q9jT+x(Pujp15&5o)i7vCXU@ta`BJ2)|m?mNHF+4o_$Qv_5^*rGQ;arrGe z>VWfLrOTDD<8S|^shM#haAFx}?dYL$@QU`U09V-l#*=+s+?a)#^l|Fu@c0uJlfT+? z2Z~w5mvxF1JuK)ZybM`Eo5)SVQk>5nC@6VRsgkdOVsF_?Dj)HOpUztOi`>n(@qXx_xj4?1AjB z;!e8Q!78=UpLul?` zDt52~XgXT6Q`&lgkh3=b2*L)GSAg(X8Cs9Bg`U{Q7CIPcjaszEAUEu%7WUHm_JBkh zbI2Zk?Lq^Z8@vT~?i-h51ZnucJ3g0G&@B5^F zD@(iq?~@Y$l)Doj24eg0HzZ5mQ6N>$J~*jzZXj(VRQ?UHsq)cv*cA5WLKe?9`6Yso{H<9)rj(91$}h?J8gR zt+G&h$|R28s;1F?qJ<|4g z?!S(vPzu`I^+3)lWwDxY z#=rlYoMF6vryK}U3=evXE=fN;$rQ&q6RI2_qjMm%aFZ*`7k~tMXn3A}g*@x9VH6)^ z!3AedZ-^ZM&%+zPfCaa?)fJBKPbuF~Lt_fHQQc5}d`5r5%MKOH*5hsCrCSfWUsuNS z#yeDlO^%``ns>GpIOeU;4z4Qo@Qt8ylbBC4skPZ8efQfB3(blG#x@BiES+>0+)r#B& z_0bHoyaEH|^6IZ+Ppq_fmaj+SHQZ_T5>Bw4j}G7aGOR&BS6=b3)0OYWv+BxX?Mb;q zo5r#Xpym#USrO)Vfk5iYAe6c1bQ2_?y<4NUv1~EqR#@z*Ns^;yB02Im7sD4IBmb^a zAgl@_#l`EPkz#-A;bu8XrFSO~mrkC|u9A*UlU-k)6@ukp<>Bz)GKLopVaF||(>zH= zmO&`25s!&MALa-&A|!dK!<@THC+#LE5ZGJwS8+h8!^RjyXJ~i_ZBYnnjC(N|$ffgZ z-kSS%X=DT`UjoqZC+_v2CaO07&s1)uuJgI+X`@7UhCg9;KcRa6uTvuifa-hZgGPPd zrHuanh7z$FXi+r;{a+PB07EsSt3{_r4lh-R7S5qeq>-7d)}>uP+JA^kyVg$_4N$0E zDIs^2CBB29H(+andKtr|x;2&9@R9fYuN~6W*}XbRGz1zps4M*H&&3t)^#Tc{eBllg zJffpfV(!PR9vKF9#EtBDDmW8lR)}Cs#f?Zaxl_Odzd)3F$o#gO>W8r&va7^o(J{{z z8MID@PlU5bRaOZ6b>Q`(KgYbH?J@vp{+94Qh??-MIY#-D&({34k z^Udx7(zdW$^+R5mHqCZCN!*i?mtnnG59&ou^rtIRnX>+}UGf~A24jISg>DAXF;u_A zV@))EAjUI0LirC0c!*m@ENqW{a{f$zx^`MB1B7Q~aG9P3>oo--#tWQ`H2~+a_`!xM z-P~*^44;M<1}2P*NqAHfFxWRMj>cI~q)U=U$6ays7~D0C`BJgXxqrnY2&Cv^dvNm2 zwrrp69r0{$>X}2hyL%w^Wy)Rt@^tLW^yfU6g;V~B=av7*KbM855(?8tP5K^_-T_2_ znIG$J+lrXzj&DcnKK{wvo zwU@njFX4ph+-krT64tJSk?7bXDm0Umi#l32PfghF>I`2nTABU>N9>JgK$ANwh z2FuMCW@_F1hU6LY4%1u)faWmX%KwH!1#4b5g~+3i-SDM~vTzKA%GyONAO7NZM0$$m ztS~g}Y(A+JZbNtR@&AvdO5&L1 z2$%-Jvq=S*cFPP;NlakqgfZoBwPJUH{>qAPT#%JGkD& z*oE-=_fSAuH$#ekrsPA6QuG%mjXBAoc`=!jNix3fLEhPNQ|0>uj5CUu1-A zC-v|69G!jjoBQ+AAra-F&-2p^*_lj|ZsC*801qRbE3tf^4)7Dm^?jmiM&a^(;;M!r z%-IZc&W0|8Hx>J*=jrE-PF{mW6Hjo`n73{f%+j>&ESM;Ya%y7i5{N;MJHygu*5kr9 zxBZ4YNU+=)0ZbN(T4pq4MrmlwjM81f-HPea8&nZT@J6@>{J+t9WvF;4zx!=tb1E@y#MVSIr3hr z1;|a9UvrRO4!p6-E{(_Rfg5B8@(uakDDSWT5QeaIRL2L9KhT#3opjHU`rh5}%P@)< zl?kEIP}_;9Dibxj_b0e*NX%UX{DOo|x@4RS7WgtQS?8skLRZhB^rcLB%B2XNbh}JS z;QW`<{qLab=FTc#D+wTVl(W>vT6}WfTA)K{&sH62zsO{AB!bAM7m3~dfLEt6x$dF4g41=>E zb(+Nx`?1oftx7@yyn762z&qdY#q4*0oIn#{>M^x|?ZERUY#q%j$0qz|Ui)3+6PPov zzSNBWwQB=sTajR4h<$_TeJ6p*ZQABegix?tePEu3PKrv{bH{vtdVn2uF zbK;oZb5UGwSZil!InBU=m2$G~ZyzTL3%k{DLW{#$?!ehq_4ua|T~+YQA*t?2C=o?A zhbNT~uk%o7z7biof`!zTzxLKis9PmI!iaRUt@1>UrJPkaJLJEk6s0&;v{3ShiF0Jo z&LFD8Qor6ZG!GlcJ`9#kiPu&0oeb%&x2h) z7M7t?y8x)G>PZJ19Ru6#uRR3vnBKQh@^AvB@WpD9aOcCQ4z6mYF&T*MehP1}N7yk0 zGoOkbkjP9H!%D0fz{Ibtln}1=qy3?qv=pfcOmY7hV|P1+Q`*78j9n*u*%+8%;z1X8 zCjC?c#i1%-;{y6X=W)bVj%@o;{}pJr(W{+9?}X zP1jX*Q1t+Z1Kcq(P}V6K2v$tRyCD}V50naP~a&_H!$AQ z12n;W?;R+a?CY&sT-&z-zR|B}M1@o}<3!xbL~v_q@pW zT<3dU>Yn8oS@#-kanJ4Te8xXC7&+e`BzrLUnhCyUgRdjO*U{i>$Tti?K^4K*%HV4Y zx1d_8AiaNtS6f6}jn2w8i*Qp1T-uUt@Luj|2MSRnCrkCxh~J}EPn8of^KNS@wUL17 zUemNNWjsjiQN2<9322!Rw2bVX9c2gHw7rRRgXZb!(%Aum={?zwJCII64yHE+(ka=&^x8l=MLn2a6G*4*2l!kw9`}~4vwUW~ zCk9ClObn8|m>49vGBHTsE}o#=|dT zpYkVmQ)>p(mj}|RH#MEgo-%rMAf0M9(8hDequ#YK%bge`DVP`}X&Da^yqoLs4#6h& zPjo)&JyvWLyb#B=sIqvb2i9%t9{`IhShWXcyYgECV6_T1%LAisXQ6-pzQ53=0aixG ztIU#hR(r)K239*Uu%+XHfrB%^L3=6%uN1?emV2>BeQOWTvMWmC13tSoE?5-oP-8PL zm{_ll*l3xulR9=@Y&5(vf$2+26j#5JC=q+N%(Y-aBy3GP%f!El!czeF&y~;qhw|IH z&}<=bwV=}nvd3(ZU`wGJ7@de#^9#M=&hXPC?vr#9eENd>B)tKjKH)xz z*yGbG_epdZKGnHTqO9;~f%_y{37_8OK8gClr!(Cr(VX}+(|*G9((hTaqtxl)&PTu( zm|e(5D0esh7@k5f4iyy);7EMO;-LH#2TMnzWXTsEo(Sktf;IxQ1B8$OF1S7v-q@t` z=3qUD1;|w%wkVZVVyz)O-(aYQwcV#U zKnBvcBHg@8r5|$dai-tz-Vr7l$acDSsd>V^FJiUU88;};P1@`bi-OgXUdk1vmM?Gj z5R3;3DIUmH0MylGHtWJo+GOz}re`1W>QX22@u*Ke);syA3z7s*%M1`n5}s`K@WjUf z6?P>j1S-^D2~bD<91)T`oRHM924`4wc>e1*yxP!H)H|&~VhaIpw%x+>59O#`utNPs zfUtl0-BhRn9BgK!uA}upXx*v3;7KTt@&2Ltu>*+{Ep;fQ8Y>-eBuHyElzcH?#&At` z%*pVW^}tE3spNhHS~GfN)B7F;%^b2ZL~Ns7J<9n}PLg0gMb3&EO)uPU&pR53R+0|n z$%GPTqNt2U6KCNOaZWk)C*!|FYO}`5Fu?Q%b(8_|0W?I;AaSa8Zk~tzXcA&Wc}A5- zOy%%vp5cW5PG2NbwS>C^BWX0BRiP9RV5;$Q>-dydG2R}?HhfhYZG_J^=rbrmNwP!z zDP+UIM$MDIZ8{D@np%g*&_T!{z2nnSZ1Oi zbHA^aNe-)ibfadJz+p;vyGg=Xs08M2#9iS}eck&yGhP0cvnGYg5ONzv%t%(1{0ON= z--b-6_ZL*psA~}roU*0i;2$Uq1q2J7rmCEric*DRXMRPv2aXM7PsX#3jn)cLyn|w< z)P<8!DWMefvz;rH>Pkce6`+zAU$}W)IUP{M4zj>W-(cdPkx5j%va42fIL?)lz7Y@u zG_Vb*Xv3gWegFkB@X;>Z04D~rw{A9-uwPku=>LMx_%zpka$Z4DC~7Da1F;dq>mlM< z{4GI`eLd<&TF>vT-z4`r!ULFHGe#NOK++@*)_|uR7CysfW{EP-86kiOG$qrrEUw{} zj#!r5kS#>nwioP;4VS2>AtSvV*>ILJDl`-KUv7X61m5{whXtLDctR`zYy#43?# zsJ{?C#Cm|+>4mRI>*L{Is&-1LD%i;bk&YsjG_wYiw9KwY{AFTyq?DOw><;B*OBTq3 zxODk|H(OCqpa)?KG`CF*VI8&HHt{G{%t&vbdXgq?hvr9*2ne4~2iX=4cYYr%8Hl|i zZMg=yA>O7fy;3tg#1YJt+dYex65crMQ?;f-rO zYo;Uu)k2GEz>E99ocL-60Z%3O!GLJx5$TH!L%u@!l^w17LdhC700eC*m5RF6R>G#h ziNM4RBiF}>&dzlrBXX4`&p%8qcxYax4=@wTWR`Sv*1Xto+j>Jo?i58BNF@+CMo_iN8~@{HwM9sPK9=p)v~$dSV?r0~m+r-nL_Ue+gFPz61y? zEWqDTZmofaKCfl3@p>UEi;9yKyThH=cwq6l`q?)w7~^46(kKMbT3C+2Cn%+1eQJSm zfzvcOIftYtu`p_QeyleEOM~Ah5*3)*z&j*yKgpxU2J{qxoXal>{dqs3sYfNNBsFYOrwSeUJ3xdcO->?7(3+%Lp^v$aDolE( zRP+Q%G8If#C_K^0nvDQ5< za*uWHajARc$j?y5Z2NL%(HqX-S8z_R-%%U|}8U;UZ zODj2K50rLw@zOXfZ+lGY<`V~V^eRmPIPyx8#>q@c=1=0Yd~TIl&vdA(mJyZFl>Z!D z9D`d!XCA(eb)z?dXuu6guM4=*uFFY40_OcR0AgVc$1eL)dvF4GcA7>9XyL1!g$J_3 zA&dgr9I4EUW-!3^VSNlSM9)7(RdE^G4Pd+>Sq=juy%22Y_WJ}IxDf6!6n@l?iyqLy zwtkBUCPC=Lk3-~>V<18q2GMCiba;5|cQEjOMBnr(!IO0kwsi+CF8V)hPQP`-RmvDS zh%|ByoMF|7=W_&Eb(2T&`JW}lBebg+7JyYFWR)WFvC1I|vI?UxQ}vfV<7ZVV_=`RG z#{lmN2CGKeunk5E&aFZ{v=USbBR-{|D{ELglq^d_N{#<;chb?}^>=%cUVw?qs<3e9 zAQtP^;ri-0jyTaU!6{xn0y(g@{$T3TDUu^e*ZS}@$l6~Vt~GZ;&}kl6P?6+V>hP!$ z&x+2)wV?g1grEAlPhYJ4`&7>mwzO#vM{65iMflh_S3fm>2; zeW1Wpi6-Qo1>!N+KxKzFeg-VpI7in^U#N!RD>1p}GScD=49p~SL$Mst7n0*|3|3gx zA*YkWb|RjBpAFM6at8}S6In}c^BLy0HY#*2Jb-EEv3j)^myxFy_Av0ZCAHuo#=bV; z&IMMw7o`CQe#_}A3AF<;aeGXo%JFFBH#X|(?O}!Gd84EgM+;3+xdRdks{f9n0@okS zt~>k~v-}Bi<-UdeeI2b^LoG+)?_`WX{>HBln6C+bElZx<(fUxRjl2CM=>JgL@x8oy zHrEI+Y<$8ak5FgWa|`#eZ(D(F?Q$`UynYj}$weR&&?sv!E=?$Uitzfs zX)io{9gH+0V-83D1BEGdK1*Hfy`IBTadHZ8sMJzr>yxiU?yz8$4$C!Pi3@Fs4o~M! zEubQNudZy~dsMh{qkcOoeD9l)gOy%`Q*ZW$k|*Sj!w0PA>&Q;#%Eo)SF*AP|8=Cic z46i<>_i5zK9S^eg<9V^+wQuwulL!+@m2w0#OwE}+`7n3=)u6V5TtEccY?{seD?m|G zCZivZNp457SHN0c&jDIcETaKZR{m|sRsQ=sxB-~tu#ECw+E)Q%+hTEt&~A=RITFTp zQwBLg-immD^a9G7Y_)2OnntQg2ab;RoCgpSuVMA@P>KI#8-v`sz(yL%FP~_B!@XiS zFc{uCNqWO%xw;%>#Gw$;|8USh!ufYjm8$1Ig0i}Cwyea_@bC}ymCP{^odX%s%XEDXvpQOInsFO4mVXa%FdOciCh~@- z`!3g~Ng6&wD%R0*T^*i6JcH>#S>o#4sq$gi*Sm+U5_lJqP(GUxthZ4q#(g~2!zo)z z9h7?s1mZ&CP@4&7AmZoY`4iF%9%v^&o&xQJ7_L!(qqzqP5W+k55ProWTognogu!PR z1Yr>pmdEJdQ3a=W7~?6bIB6+XtuBZ`Mi>DMoM;)^1O7|4IcRQN(gBYWI-kZgD*kX3JiDRsSe7KlEwuUe$pUF z9%-+#KI#EMko=?-3X-L$I9Lfj{!0>bF0qEHwu6~)0y zQ1MTGDiB7X7(;pkVT8Y=L1|$a0UgN92EzSWPYCN3CC+6pICTvVtKv?DXK|OF=?HK7 z9N;hsBhCV*H!nUNaaxqf00vsZ*DcU1TnXD68W+jGc&cI#R=Wyf6uTWhAcnJD<&9Fr z9t;T6pZ8IcJerW`oigVMFAVc(=!!P`eV+(U4I7=w(X?!?!VrM8A?h?Lzf=}7|BU2; z?5Bx|b*AZ@9~)X-fhY8M8d6UCa&f~q6_zuuIpGfGLmndS9a*aq3rx*t;> z^mlS?5KhF6JF;aM956lX>eBpa0 zjRQgkYAnC2mI7w7!gJFrY)2Hp;T|-&3p1MUUdB;%-_D0r9Y<#f1F!STFS-@moIl^6 zuf&(~3-H34jo=IRU}1xPuokwY{EAX3h2MR|FX+d4Exa}M7Tz*;)6V>y4ot2h!+geA zp20Yekq|%AY;nArOAr3?HyAEZN{-y!dgz_tW%%AiC0pr`ci2N$`3*O@v#u848C=4- zfMDpzZ3Cf|ckIE5-nkfZ@k@OBvc^@(+iqL7IKE?9Lt`ScqG3fmRTEFORK&NfY`!y6 zzq)=|JQc6Ra*O5lw=TbJAUdldlsn4H-ncT-*pOJWGQOkvj>wYwM191|&aBMC?8sM* ze9vMzwG`X8^v)&C^~vSS;@cKSR;^sVx}iA^2Qd||i1$SrS0*AWn;PKyvDn6jB^Z6# zjN4J5u(;=vOv2L{>IOz}l6~;8Jt5YxL$-k!6keFTSlQnNW5a zG1?Q2gmTAtI9A=+n5b`IeQL0<1}K{MM5l#vIc!I=&V&o8Ez}g<*N}?_^(T_giWk@zIX}E1! zBWQqtRV;z90%Y0}w9m1j+(#_fHV0NAV9O~w(;A@+05;cxZTG--EQutRt!Rie8K$H7 z`b46E#Wy$ZiJlP3O}3f(yiD7cL>4ETS2v(iLUZmnZ?K$T<`qo|Z~{GI@yf;ox_gai zne8i=M=tyD`R}haedNOtp=}mvJ0+C+vPI!zP3`6HjWnUlS+U-+Dv35+z6_eHh23mf zVpS-&*k;`B@pMPy$|b0huc@0Fnju1~(XB+)EKh>BXWNXv5|=M)yhAfe#UL48Mpcc> z_{U>xZ9R^Vjm`Co8*ICSjig~ubY>{G%YyeUYcyiAZDo^4$!gc=XmbVstOehmSh+H? zqQ3D?bj!s{>w(_iGgNjVK9pUMZS@seE&>`CcvzMso1j0@t9CR*uDCn`MQvIHkd+O~ z_h8v??oNd!1AVd>y;C{Ay|Gcd5^4`Z67`LDSQUmELj0G2{@JMM z;v+{^PfhRX!=+F&ES>5y~}rSg8LS8dt&u+`iOgvRJ6wXt7OmK{`N}m7&F3c}95vG0`_OSB%NtfV#J4S{?QV{M zc!P(~ z38UZzR*P^4gpAaHP*EWw#SxpauW@DLvc|>Dpt^n)i)%U8YZYqc22_QHMAe^dZm|~o zkFqU`+NgiD4H{_mvL$pA$Ub^JELy0k6;Fxg^`ua4v(3w9(Y!lcUS;SuC7ae!G!eao zJ<(Z^f19~a{4?0#__n3>tI%}|I}=3G2m{3njGG1ZIooF6?q%P>?DdUsENo)}m2^kx z1&`s}`Ev zS7;206Jk9K=Kzcz6w0mfK)n_ga|pJs0LE$c39)mv77R|W(YQOBpg>nNB&?VdBT7J~ znN-uTb0^zOJ~a(}*@#>rLq_f|m~BwW_ehnBEooQ*(_$J5eHrSu;dawdaIQl+9t@-Y zuy7ANLnEQXf&{1WnwKnVL`ImqCe@Q0Y%X6t#6pP|EybZ8iH4R??q&;Gz(lGnL;W5s z!Op$Y!a>yhO`~vH1DG38ZKyVUmdQ3ppJ&^*K_M?`SWe%sQUrT@L!@5R50&-OdbG4p zzrrj>C{fS^u&%36WolaFn-lL7sS>%Yt%17lDNCF!=mqaV|=si)_N zBB5vNSuXxZm9~k~17XEmO>U1yA~F05)MCZTCChHJ0@HV=RkPdf0OOjIwDYESZKuOS z51!WB4xh9Z@$Jr8Z}L0qAGBpc6u=yK^w8w66ZO#eroq_z=y##_&9>0np{W`Z@D$=Z zbnFm;^|CUCP5{Rm&djSAi>e@-k-$p&Nc5tcpe{rjD3Us4naLpwx>mo%*vZWir8X#i=ue&SIf(D6g_83JT?*(z1RV zN2VNGqOruGMENpFrB(EeT>-;klr4Mvl9jLpbR%}aMN2G3U-qP9JBP^}BvamGXi^`N zW55D@gGHmsQ)+~77?yg}sC!FlIuU%*e&B{)7<$S`)K;T!IR>QY9H@qHf^5uR6DV#K zESi@~i`#B;HAA*!G<6$>eN9Mf5kpTlo{q(^M6*X}aKQ;I{)>>msVBLHFZF{1_*<|@ z0!#h=|3!TaulAz_`8#NSGv;^5{0^JnEPwBQlB|@7Pv<7QV~HF&jOihB+)cRiZudFe zegIYranYs@$+x8K_ITF=WP5r&@gOjb`0NACjOAhxxT3;UzF5L%0iHubSNTg=M2i)F z5;M$}BXaBk+ogO$g--aq+KI?A#3Ha_p(hbou@I1tc<+?8X2-?ta->gd>D%cgwyzlC0z*DS0F-{ zd$(1CZZ8GMy|7LS9sS*Me z1KDF+3KE~v#8EgdK%{dv*`d26?u~H%J)`(YD$)4zh%&J>J=>t4d2NrJ0>H&JzWXw# zq8QyH0vz4dC_~fX`lE>lvcFs7Pam2MyT z)Q|boYq82Xs~fgiInu~^lQG96WR;f=QmCB}Bq^L2PSQF)BzHrDPOQNzRWzE~&3R&S zCyMDKM&$<~eZ%r=?}W+fn>kRKl8NK}>gal6YQ-Hdl})$Tf-aQDc_yIRz@v5aQO=#} z17DHnS+?j~L}WnXK(tmqlU%a_4Ou|C+y@SEsI4Ii9QJ|&`OmJj-;HOah_p|ZxgAhu zj-Pbv?ipRj+(9TG1uUw?sqvw)ldD}bIh6wh8`#eXVixXmBH_|FF^rpEX0W5+b>f@} zz!{>VxYb$KtPgXUCYG$9izyJ2VY~SL+(*z+O@;IIJ_@yvrl`L%ZV?|4So(J!1`^dP z-eh_G%(EkIugK;zTRz zJ*B=zf1?o`t}KtxRa`ViGrBjoUYimt@PL@d)v@ealcf%2w_b{uEEY{6{f+VnyFE#c zm=qemw^Za%o__>u%Y)Xrl3PA}t%-)21UhzM%33NrLLiE(_nXw!Q(Jz{_o;- zX<#irCg6VTYf#FiTjeXbt^-^6xa6T9_=bY==;Iz1BLQxK!im9sui#~ivWA1{_AJB! zZ`1fj!TD!6b(&&CiY+E7i;;qZ8L`AU!2I!hoM{VGn?267MHVLxl41A=(;ST(uA&~8 zmX>dJovV-UXd<-8{8*;7S)LRYmIu^Z!GUB6S9_N!SB=18x|s5vg)OH1qPy_y+V$9~ zBQoB#5Vqdyg8T1eHFtxr{3?0$uI{2GT{CV;5E+pd9O7dxvaY%YlW0 zh^vTC8*eqAa8?+!9sd~!aS;Kr+(Gb@4?-MMKwRk{_{j$$PA(wkI0$}n5YcMN{Lx;r z@7M!;zjg(;3%}xHg}KI3dIa@@Pu<8m2)G2edsAID_H{Gb(Ip>ei#it$N%bMP%eAuI zd}l*gw?r2CV3#W|q0YkT2;u()SfROy%h^>0(G{t1$#O&90xa)T5S9%Yf~Ny_9+HOR zCblAn5U0LPn6H4x-PXBoa6~B)_Yse%8`sy%jla-*W)H62A&m8kg_qco6twk`845`*6gHPtWrX z^o5(rd#qKTgPPxh%Z4h;&%@q-x}435@~0vyVkuBL(P_`(lX_Enb}ly2R`a%p&NveI zaPMXEfJK}?M{~+rZ=U@MDLWQb)DvH2`R!qFQ7382e z$XBu=xXz(%dJ=aE;Ht>M5?RosH~c^By$^hxRh2(HDIEx6ENet%`1SSvP83qn6!J+A=Mr8L+zqL`}r&%nt7h*-h1x3=bU@)x#ymHZ|5A48#R#^Ut=4{n-Sk{>BSg&{yF4jzD(w1&paU7YCFJh2Cw z*uc43k)x21v*9`jsC0R}X`nRvmmR0VGiZywll395?8vv-@nNd@08+V9?bj+WSu-e| zmF_BP#o8_SngPrJDTT)1A|LX-Ce}baS=*FJ=V_0T9I|bW9jcpm8kjsLE?-O6ViUFm zqD_+2!UM`^G}N)~8gN_T1mwoI)zBc>=og~Dhks)?KB3XvcKA|h=U@mkF7Aq6k0uN= z{~ypfp%6wbfGV4iWyI(g-~)`Wj^tb_dAy%q|B@Ys$Q_++9?K^H2u?g#W^@Av>8ASskW1o6*7Rb65&`NBDiuY zU-Og&iVZZnRl5uILyp3yn;cGb9_2s-Y0QV_xQ!_uV_+>3IY9bUX{7(q2X;V85h>%^ z!p`87gS!Km2ILeeu*Zx%FFD=Yjyz|eJn%lqG3Mzwz>_2rlKoQ07p=47VMoZg$I*3Q zxO0BWY?zuw_2(q})OM4=YnhBuB3T~RGu*E_;vc zeBqO{gK#*)UQR|te#jHxN^8m@1YEI=FvpAI#VG`JKui(mA|{3rx-Uvk6j&0 zw>YI;IX2fle9D~dg7F*V!Qn2mK_1hlA`h`<4d^58*2a=P60Qy#o8INz7{G=I@9+37 zX%z73&^l3400FH-NfCR)Dz4zKKS=SI6&bnfSW3u{eT{Lf2tI|^;s^00T5ie~ymGva zrh@+=8SPz-$6`{e#!X#ty=3y5bDn|EtI{hh8SE84^Q<|L1>#0N@AV8kCHpyq@S

DuX?uku+*ANX>y;R|_9_&|9%=dy@fRsbWz+XmZ+eQ`Yq66J7qEeUf`)${!p^Fb zj6Ef)ez0Kl617RVRzv}Hif-XACIYpXAoiu2>8$A|Uonc_wp-oc*CCR{4yuDVm>F4R zJnV*UA?gIP06=9-oPoE6bSw&RjP$Z;PD@Oc5tPqjk;g7J*@zLwO6smp;MyGOE)M|C z82s}h1G>&X6+$ayDx{m|LWwD036aWySUONg_&P*Wli$=#@3R&<(EHT{`>)weqxDw&;yR)3d4C~f{e^P|w6s2%Z)rGr_ z$D=Nc9WV?;Jwxk}+UQw3LS5!ogdA>g1Xnn`K2PKvVR_zZtJ(!ag|BFD1f@K}!V02c zl;mf!eF!5JM4>r@XILZu1w#5S(EJaN+`u{$xk2ZuvvNZ~<#Hq7J#vE*j@+P1Veydq zRT5W$#X|2v(ifbgUGf46zi2=JCp3wH$(h>ydj;v@xki7 z5xDaTTWt71_I|v{qJTs7Pu~w3+P7G{%|l&nzsd$&F@$vQ@)`_$g@VpA$5nr{1=R*y zP>doCwIsK(Z@|ZH?&HSC9fdC_Jhaf*91m8oIgm=5Lz7_SOaF3hjw~Q@3r1aVA53KJ z2v^I5Wy%lbgHAnIO6Q4R##eM=nf>7_oEc2QACv+m`ta7>3rY|}Cg%vdMGA4ZGPjrn zlLC2aWMko-=mRW|K6^&+E_`0`ab{SJCji4&J0#tA1FsLRn{uNR<>YfJZd|3(O$l>Y z>SIWAOI#r(uIBAytcfSWA^-S@-$a};Y=UZ#tFd9qBMC|-%m$FHnSX-6z->DC3TjSm zMum03AL9dx(By(b+T0l|g>FTE>TFYV`UZq(Kf?loxx9;S`3=Zln`j4qc-wsBZ637pjsE8$JI85lSDsXW z*4coy2Yu}9<|AAv3-C@lM3S_B3|_ia$ZjF5~&c(zGHD`gJzWt1z{A~EQFz~l!1H}@3gfUynlr{6z>c01dcfkgndk7SKX`N!VaUk-d_UYpB)G_RUkMDG5Cua zBmn7t9BD9UUt@wI2nE6yR}DNx*P=lX^72jnfwnH%E0FlWv7fgdqqXYitu=AJR?WBprH-dWGVTT zq|KQ&4z`g!8Pa0NJ*i~KIQ4(*%37y)Bn^G~dn$Rt*HD7qFN^e`N>4poDsp(odmK5e zYlg_F{0M4jl$dL#gLbOv#te0?mPJ1_w$)rfGGZISjpQBmP5NOcr9!HuZWV1Miyk(8Aa9#&IG9z=onz%VY-kQ^8I0H!j<)5n|ppRvoSXADXJ7CcCm3?N;9BsEFW z<~~xt7trYOg-Z80AC11JC&^vJ^H3WFI4}*#%x{;S`Jt3?6O_*U^q}=nSFNfs>Ple% z@KEh3oS?#n%tP8{u#LzhYm_E81$O~W{6#7Zz&>1S@&VWanR+3w#Hz6j-NER4j!JVf zYau6}K*Ye853HEWT<&@p62~;e*$cPc_O+3y{h2P4Gjw1)ab;Cs1l?C#D8A zH{x!jX;T9|p1y&5myZza$1BPkuS=)(3yPOMg{xBf&3(A8i)U7w1L}h!G=++es+>ruB8TOcA$_1K1236E3$3!h~ zv0ur^Eh6bBfD&~4dOYlbsoTkv>Jy zphOtXQFBY{z+_y{bKmc^=pb_0?qrgs7wNJeK>$^!8zHx^8_|H7iu2$+Xjp+FhrQjN z2VzJC#K^(3cn3a{AZQt+QC~F76(3PGX0Rfa5>>@~I++_T%~?`gtp)4JmuDX0YtlsF zfJ#s}@G*JRKztXyN!3*Wdv>p5apdG}R8^2i7FE)s3V5;?N*PtK*{2GyYTq?i`!=(v zJ}A%fE@UBboURzUkMSS;)I-&b9tQ(-lzL1w8w!xYkP%AzlQ`0ywg<~GWid&=l3{`1 zv$AM|zQ9jZ6d~81!to9L6fRI0Ngp>T zm52bN$TUxqtNTPcU|PyeO!^7EHz}Wsa*8b~hG=NF1F}=`;=v?z|0eiT(FORGl-9w& zp08-aB55P|#(r{TWuyiCkz38?{4A&+?D$C{=N6XNP_Weii^_mP!LWv)qX+Y^~Fw zHR{0a%$efhwi9FwtO}-tCF`)Tt9m{dG?ZGGxS{(_P){;Ht4hdFC4BGi9F-s(s-P0O zQH@BIssv!y+?{Hrz0+Hw66!xA(U>GO>A8_~~c^C#R*@)nbitPUq?V$hDB);i*O=TzdPv z|B#GvW!=Amz?5`<<|yg@_*A9)4_QX}FbUoNn09}p=8+<1GW8oeH9u&FD!d2+lI|oK z46LWkD_fRz_#uEPHb)#QhLzY&Rv2_5HxgW^0n2DpDU=cl`z$H9vf z`q*%)S-4IM*)-=@wK67^a_A#i^hN;?MF@iRFNYxBsEvzo^iUkVhjif9z24Be#|~6D z5xr%$ZzF(-eow;Tmu&9CY2v*AfOt1g&^6vne+K`B$SRf^+U|-a!`Z+BilrO%PO-G2 zsH>y0sx#&Aqt%d*o@Za1bzEJf8KJjy6d$4V401>s(NTOv zNAW=_i4maJr#TV1sV_45>&3@fyc3M7e83U=5h-dM1Aqzc#FJEE+!gnJQRRwdYne2{ zt`NF6uAeJ3fg?7Am2nN$U{@p1-$?X0p3zAFYS(#^xh+FPg{fw^ANE-Lcy_IQVurp4 z^tFkmL7=>No7eMQ0ld)Z-TtEI;zobUzdwi2dP=E@>#-sQl3f$Q0 zdMZm*N+`kbU2P=QirYe>Y!Ngo9}T1BV*q;dMmQ#*Uv!Ek`VM$|<~1wd3lQwedDL1` zn>sMr&OpJg!pXR$A@&surjMVHYTbn-6H&<_%V?uR#E&rs0l0`gzZzs<-b}fKu1z)f zn|iz|(9EiLHrY+6$wLTBx)W@)oKiN=HOfOmi9g!ca2>DuN<6LaV`5mN_pkwx;L?yR z&I#n=CoAGDfh6n&!8wxI6ShBdi~^HP0aX>u3|=^`sLZtBkB$_SC_+{E8YuLLir|)# zSZ}IX*yT~VhhPSxJWKI}+yQNyb^vEH z$9lXJo>b0MX%E#DD5J<#MMQ?!(Wp{nfYNxXpdKu?RL)FA=HLQuQJXpMMeg;lQiJvq zav@W4Ui4^NvCLjiBj8kwRHMeyb5(~95c$Hj$_ZGXu=KzWs=w0E=0S#NGxi*SXa%|< z>~ zO52&$lOYTov%Im9@yPQv#Vcvv#mG7~T!)Y{xHvGRT5=V*C;+aC1*u!mLW$2|{NSF{ z4qh-OAt(1Oxs}P6?kPvStH;BMrR$kvUs2sBDM!pz*rMRrDb$!&6II>E(MAo zMP~ZtnumF}4v1FbY5CR%aJ9fGV`RFInS742QWF3S>IHO;{*VHXnTQVL8U0}c>2wTe z=mQyv5~JAz)Q4R#3b{NSy8qpHa1`U`K-~h900lLb*$S1WAeHioO(C{IFG&t)>>Cx# z0dhoSR}=@xCW8TfX$5IYu5d4~B1QY5`&7f&jFc~7_3^C2e)ShGeq_|@y)}t0tpcXU z*3bmgN(JxhW6 zE;BWr6Lg-0abl)sWoh5gGJWjPBNjQk`=k zu$k9b#KaG*8hoo~{#vfV5lvWpABwyki=u^SC6)fDMKA%(Ft(0ojVFMMN?^@ksxH2> zCRvBx5(lOPCb8dJL+dWVY;7PSJ6no#7!p@j6mlJVXFReC2by!(aslHk0c^JE=VqIJ zg^6igf5(0U5w^w8J8P@R!%j-d>TViHl?VUl`5oYm~l9G#`ysP44^zy)sCu^3SLs1JU^NO()~O^(<8<# zfB_@ggg?RmsgYaF6Yx#w{sI^^AMglUIfGuVWw((Dzxo|qa`Re1xCcsDG<=RYpJuKlzr7hz?WHvJj{ruZ*{$i0r?d%-Zpev={Pu?p_XL<-pC~>hX zQ`N|oVkjQAlku{yu^Xg8M4(PJaHLKX9TE_pK_ZK|3<({2TJ2{izN__bRT(PEN=0yH ziMWmcaz*;4#4e+uBM-2sjq?sqqf)hNrdYsnOz(&_#w^)ibjP1c_H*eyT+%S>@gnc> zuUvn~I0!T))vrIC4f&;|Ftx5x_aH&~3(2uJIi{NP7wxh-J&IJ=qzRoFX7OK5bqopk z&akoAvps&xuL=4wj~n19!9)1dJO~(h$CXEj_$LRGF%Dt6_ua&YVw9+p&&Ka)=BsjO z%=QMVPYg&`aX?}LT6{6dj{_SajrJODali@+6j0$6B+G;o;vBv@qlkfxA=q9=@90EX zT&5M0>8gNJlpYGEDnUyNx1BUfvK%j98d(Owg7=KE-g~Kn*&rz(yg~I68DZ|TnyXc! zy;!47U);*`Cey(w2bdo>7eA9fi9~}raaccg00oLuksqub$e(i@ZW1Lue07qQLs+UK z2QhCp^$z0=|D;~C8G9c};_D#p-P(w|yv%VVPtFn!>7*9hvsqC(Y|>5zPDp9c)oxBU6M_V znUp@;T8H7!G&oPKQmds{uo{)T6oR59y%;h@2{l{i@i9LTZo)^>3ZA4oh<}ui(I9Ve z(z~rbBp-yjZCnXNzUjy}8INGaK)!II6qo1o-c4&g=QyW4a6(;1hx6v@8Ez$}nO{6s z4v{-i64EVHss;;_;ZDg=5rdmN7(6yzF)*7%(QvjHQYr1T2Np>4z}-*(!J+dvFktIx zsE|K$SBjcd3OqB$Kt5wfHV;pZ04m$U)t zw)rPmEKTpdR;KOUhBEd`y8Z;W`iFf9H@mf@kkA9N_)c2>2*~M^gT;)?N^a|YtCAe> zYc!e2@F$g!H{+&EWWC>X1uQY>{icdIG35QGLYK&Szv=lvi9EgyB(~x&I2IU4^qZ%` zm+_jCSH~dcqztzAL@==N9YEiphL7<~t!SvW>&IOr-BKG(Cx(eqddlfSS00S3y!a4_ zn_e%erWR$#EZCxP!Kx;{jkrz-t-Dedt(8pa`oixVL8uYKRhvyk=Tw)KJZ^PaW~@}* zg|>Z<{m>;=%^0@(jQlna;V&of^oTKwQWLJM}ZR1c1ffSd<^e;@YDUH@D( zH4SErCCYOp5bv!9@lG$qCWZK$N)Y=>AU0Kl_#TBQojl#sP%E90U70Qpx`gR@&YBL2 ziAd*2Jzcigv(}Q$X7^EJ{ypN^~Bwbu*i%P2Hok>CZTR&Tw1W^eQW?)TW=k z+i4Rqp{A^aNq}axi-{;yRZJ|^Hwq@3N-$Yi4U@}VOj12jN{J(B8(kQ{FOYAj1|#H! zG2aJcZ3&F$nY9u{en2Zgn+h&(M13V(ULlZNE`PcjqrECYrpVTj{9kWkn74^s#|TJd5|$C3ru}0+sO2o+x+|61#UVK#?YoVy;|`Ca0Icj#Yzw zi^4Wk2rnhzrK13zSOWO?YJiV+kw(AmEN}j6xY%B;c-79&u|TEfKh@}En}2j+r#q<8 zPU+g*bs*L)zF8XL&ATRB$g#IKipc$Ap;%rB29bW4I$-g4r z1rbghJV_Pc$#;>P@3E466TJDF+;?57d|rRU@-BaBNj@JwFSz**@!*3^!-4JCXAJ%idWL=>I*(V_$SS$ICmW-e=w zESb6V=**=X#gmV8;V=AViPiWmpU*N6<}p%JDj{!n9@EDp`_0T*`n})G{KPv4N`=FK zmepJeG&~z$*p~oHv*Jr?y+DfZjGD>ihRG1Jd_+QUNNV-I#OUVoFJ8xRkyo zM}~z!irhzZI!t_0vMWOT>3Wo%V2Lxx0fCzQA+l9b*N+q(cts@}G{Fed{fe+raBxTP zENUy_bV5_4TZ$NvJ*>x5o))8)cl&fVv8~jMHE@{>BpyO5*xbT%6dltS>F$>lXPETN zfUstgc$hS|C~@IVyQ+TYvh$MwNpM5VsPTXt#v~fz)YNGC$lKssm{Ejq$N1@^X03%d z1c#87V38dckcS2m8&M@a9);haU89$GP%_2X6$}49Rxwm(VrK87`>z_MAk)TDllI#+ zDqwowF(~Gcug<~IT{;^l%$A1I#g>)WF<>O+uYenE;Mxiqu>!M(Rf~#C{}xbPY{|Dq zKo)VBtSm#=dZ2ioK4Z=lD8A3BvuC-|i)tkmovg&cdEF-dfB_1^^@AvIwiF0;@i6Xj z65Go_=w&icR9U*uOodc!Rw6sHs!GHnqso2-^AkjA;Yu17w-!E)64W@N?|c&&oX5Eu zx74qvlt)wN4jRz&Q{if$=htNBB{L-&GQO|&N||HMOX4u+XED~yz*@lefQ%nzhIk2- za5TQFuDA@d?75y=C)-+aeq^;;af&<@yiYIBOFlIZ2S`hGFM@WbUCz`_#Nyup1(>9hXfHPFMl`sRc3h1bVy2PhOg5s;H`!bl@bo6E_CfGOnt zpP1%#q<1_`fDDgL6VbPW>=p}2 zOTAYL%LGN%aP6>O-te8NnsS+(Y-RHQU||{D6dNO5|HRA0i55Wqr_(A}eV?0HV)e=N zJ-IE5xQTK*k6&#dZDNQo7?tFkvFzlgK>bE_qyCbq=9a{S-XqvEOaX_X!h+I&ug|0Z z(l6~$?}VWCUr!a#Fe#qTpKz;_Zbf>Wb`Tf-(&-6pyI0obg${-INQiU4N9Oa`%&lr#| zErZ-q4RXv6dBYfxLuHVsSA%?xUHD6Ujp~riL^0TH z{0rrYx}PCY}ky%2*{}MYmmwi67T}Jz%hIu9#}(W;gRmnt76Drg@)| z+F=8x9(+>Ub!8g^@SS~03 zw$}rTWXd0S`>o1Iyorgt3u{I>th>u#^;LuQuRd5!<*+U;gLOkSSRePnnq3a7p$t|- zHCQ1ZEE%)3XV`xAs+aacuRVXRLa!&Lc>@FZoK$!k-N!Gf z;i(gm`XtWrGM2+v=~mI=Ti6U;@P|p!4+J^yrDrG$K!*l_lF!E*Pxg|ktUM?BT$IZR!{XCU8#N3jKQ)s^{*a0YkQ<=+&5If>&(56#$z zN!Tm+=Q|jeu9fzeNnUZS9167ar<2BxYejgVI%WD1TnQJt8a%+Rv*kl*-4{jq$~wcA z53}{B;}4C!FQ19uO5lDpNq9+#0GZ|FQ-C$Eor5TDmk*z&AS0XYQp;Z;$SJSq9K=cQ zd>inqSkukpsR{gDAfkg>)Clv`_~#!>jh`#2aYD5k|G-J6ok`bcSz2kBLqf5ptbcvs z58nR89m-1)?1oVQ0V{eMA7Wyg0i2IvEL2EWrvQ6s$B&shYQ4SkbYVnK~XE{N`UxZ@sy!!}w}T07MIg7Yvezaf`FQ*08`jhVI4-0syLx&v&e=c)xqozXVVYE`RQ#A6Y?x{V8K1-5 zR6inZqKsTkA3t?Flqaws$loh<971Ay+=~c4Lq|r(29vNCV)GK@CWVj~st4)TqoQWg8{YcNdk;3!1y-8o!Id$0AUk#jjZh`yb`TccmZvL^C;};M_A6} zdz9VD$UZJjd#@}~bk$3z5I|oId0$#8W+t=apyKY@8KH z!_#7S*zxcrL6Ci|pIph`jA?xF6Kj-8y6s1zJPbCIPef$4i&?7trc)=Oa@7)FtG#Jun;*^eer1h zW@Nn!XVA|IUVtaMO;~_Bx(G)HpM@By;I2hn^5F+J&@soi^pr)gm%J+X3z&Wvcq)2X zjZ~PAK{r{2`8b}bFpX?gR+w)*Pw=k7JO|*ZFl`}6VUB~E)fDD~QirQBf2&}G29KV=w9Yg>qA8R^3>QSw)@2jR-p+V-^rK(D5rpoC zxeAaJAk=TV1@i@YwVnL#4;2}~BXyvEO~X%kLB+qwE~TPgSkD3MHu6{88E1a++=wA11v6Jzgnkf`5CB+^s9UV_VMz@iyBJ4Oqp zNx_x{UeilNDLv(y5( zRruFFo~NhOmehH>w7y(ee(f)KkUeAO2+ga9fJ=yUfoc4E>6fqW5(<9l8T@!=2(KZ# zY34xSlG|@svO7ExrBpbadBu|d@|W5ym26+q{l0S!p*8Nmx7DA-X2Gu#CM9L)rq)D{D##o!Sy}ifZwsU+{dfIjw zs&pZQ9nqb#tpvgdGx`~Di`;6dtwcfvw;&*hI2=&Nz$eYy5K}O>i!yCaAQeD zUj@91-KrlB1D`H9QguP)u6FEkWQ`8NzW#9;{SKA7+H6fI?`kJ#LU~s^6bWUM}8ethK6 zws#fvbbxpUfwlA)d9QdgM`Xq`v&++Z##15obdM*S#>CxoiN@Yd90arbqv35!JxBDZO?xlBOdi_XM5ko7!I_|itFMSyiQodSC}#Zo?4Zq zoOiZwl1zJSrcIJ*kIl4)nXt$-C$cBhwNpAta8ENP-L1GA-2@f}ACnK*F^>zJ6iNEpcv$IQ>n0+i;&3Kh zu}lmeip`DS(EQYNaOgn~1egyN!$TB9d;px?cg&}fT z9N~>qJ1JdRBR^Q2HiIgaCfG?2RNF-;{vQuWbAB8ks2It!Y(EZL{-8- z9DL^tI^9E-B0x!%Q*%Ee#~s2v4&~sm@0;{&5POF%Xr5@NjRle{zAFr>xD;U*Ty44_ zT;p=J7$}KRg2c7w&9d9MT@wCwz8Ufi?v8vbfG?R;Cu5k-jy%}$fA|XJZMP;xx>qd4 zCnaL4HS1~JH(#)=v*MYaa-=lK9rJ$-%uzg>3Lg&(ho|XRVEc~zTWuy%#ji#)O5-uWv@~k*dVE&Yg-s_*L_lshp<_(LQT4vhF^`xN+i7L z$K@nEdIx2~CE;g59TcxXwY!cwKf(?)U&kn#H2Ku> z)%f1a@4v&?HH;(9(eUl;JLoqWjevpcm<(yOTh-nQI(aG*XelgC5Gd%fszF%w0{jP- zXrFP276lNmFhRxJ5HYd7aE7JQv0{6W)>o~q++w}*4oxk;;lz9w&UgeB1k!sK>#!<^ z6X+nUus`}ZGpquMCo*K5jL3%*R{H|DinhHk7)tz$7F3B0b$v!(2aVeDcI;<=NX}s* z5PV03MoXWuQBW;pYxSriG~yeuxJ4#?RuXGCj+Wc?t7_cZvRAk@(dE`O;npJY_IQ+3 zXdQgTLIm{V?ruEem-kL_Kia?hoB7YxoB7&vY$lBhSAYF^8&P#T-!Y0U`u~NHllaKn zu{n}Iy+PD@@)!9o602q?`dDLRLF9tgE9OPFUwTPnbng5sBGF_+G`YO?Mw}IO;jG=^ zqlj{aZoCtY2}o&8XZyDT9SS}GU_Dt9Lh*2lUD4_Z!eZ*FVh;{%8 zZI2+kH|m5##B4ica%fR=YpmgtCK|gVLVKvT@A8kFUgJrEmXc2(Z_WskZ~S}KQrM1v zVzlho>XC=dbjws6^}hK_lai|cJlG;eJy!!MOZoq_iFoG9a*w~^X!l~YyBCmq(U`3K z+944#kFQ>f0dLk~FegD1rP8yXpAu~?lyTC)CBf(0nl_9xjjIQa?Mg;=IT>(ZU|D3D z$qX1h#Jsbrj9%@kj7wgxw+%3JPQ<4x4hg0L`Dtdc}6xu_=r0W%+?=iX8}7k*c`BuqrP_< z&)U&;HxIy$w{M-a<`z_FI>B{#tR&+P|Cg2V z5j3YantoI@1LNi}QvK;s%7+=LvRDTO7-X`RFWM~Kcl$5kLW>}VHK>76s$0p-kNT~KuU2Jw9;oiCy%3NMz?O z3v(E^p4u$#3OK)@r3(9$DtVDyFesAeFfGS4i?H`W*o_z%+XYDQSmT_>ZuHIOYS0T- zL+#bZ^M_!bx#|o69Z#9Yvm<-kE-zyKA}%OnLFrl2T)d$LHDTqMJV4sPOuAwD8Rlp_ z`s`jDsy(qs0YV*zYeg-`5tAB9h**GpAln?=ezR^H2Fa2`P{UAwL%4?mb0yHeIRmtY z00C6r3z~u8&nq5TQ3vR(JU!Ia8yUgj`Q!w{p1tXox09`9dAMU)&K-vM8zyy z&LB=$*M9*Utr03p8dVzJlSXfXHSqgqAPeUCO9Ob8E)C)tCp_AUc?x{)YJUyCoe5;$h;B)C>wgAvdLqD% z1bv{POaOk_;P4w<_JtKDo3gQ_L0$JtbA$;vnx#fZh7nn~8J78WUKQV5nS4c|Ln(bi zp^NB{!Z6@bMm#8c7<#BXvUebIfVqnAFj7MdYIb5pVQ)8-pW$V$<7J8%|bLq6pffi$5I7W#kctL6hw;k)%a0ab?VykJ%)Q26~G|Qk^`!$Skxad-&p6@u@H=%lU5I`}{19&bwgy6xJ&4InZpm zxikV~cgH)4qMb%F9$A)4mg^xBSsf3}53ofH+dtGsllXrDy7R?#cx{L#qiD~92D~@o zeFomq9~aEPdlTMgZiiaVq@){AyW_LJ*Mfa>gQ=SyzQqv|ad`wGG=r4$wj^)~8wzuwv!)?@mLdNZ}Wu z#(|Ds2wE(L$`@}pifBNEs93V38Ady@C_vhPd^CxB1aF}f-YAJk8y28J+4rg~h6Pm{ zA2|#MnUiFN`52#IMDrP0(L(&x{{*fBBb5IE6$debJo3bPD!SQ<`&Z}!02!VgU9zho&wH{H z{2ImC(fl!QMu-zx?>80Y#GrnYBqPv?A^parRCw~~6u9`vw9x(AKsBF?HhtTb(dl?r z8I7iOOYURyZd)E}YmBUjZeMZxipKXhz3&|3d4p5#jyrE_yKZ%3bo-JOOk_mt0%*PE z4M@B3_FHbbebut)_Su!lHX^4)Oqh}vqW-5**S2sZ;Hlotq;d4z?zp3|8 zr*)5M>&`^IwSZrXDBsv^H!QgkZF+3U4UM-U;t<#yo&M-DQ(g42Ri+wSFIu+*RlzO! z0kjceT!@8GN^W=RdR*)J0P4aRu)4G^Q0r#5uI)};kGpj(NBU|~(o^RdQTm)&vt@>{NpZoeKhz5bT#Vh$^}+yOR{s?kS9 zZcvq5wa5?n$EtT@aKqpweFMV-7PHiMgO)?ow=mEX(I*#t6F=f=&JXruywFs3-S=(N zvCDkXeNpJIrn5ycnpxPD2V893@>HdD9G}6QmdCt$ao7bFW^kBK985<}_p7r=r2;l( zI`~b=xl<0JP+RgXVrdJgJ?;fAc6t8mk9#sXKJ%8X_*yfB?Ox}wS)xj;&2AKn*i^mZ z{4{!^&azL(;B$d54wMH$Ib0MMI;jKsHy#7{B=?ocz6(RYlw|f!a1=0nKdD-icS``O z#}K55K^zC6vjX5q#ifJb+4Ak~2cn1|)0j-b-&h7e&=qVL2HvU0cZiYCGjFFG@XsV$ zfq}Ya@C%E%k@snwg=QH~4Zo@ZSmLuX2A0ND(lM%nSr{3HAaNMNim?y+FrcHG!fv4l#6ai1*fC&+ z4;rT6Jyjy(B11}g;n%G>IBs)+&;vVUi7&@y7f!(6v5|lRh~$fBkw}Jy@6>0~u$_J> z(o@aTe9|~Lywr@rw@*55Qc{o6W~JjP0IPIt59y;;Fr2L8tB;$H|5O3p*9fN4~$gOVKEmQ9FNN0 zHkwW#pMW&?0lf^%oL~PUIF$72aN>FoFeZzGNrZhV@z5eNm2mp7#yHCy;`>B8A+l>2Eqw2!O)U)EqivF3?6Vb}m&HO$E1{ zQp1=gxnzLw(^F0rknXByj`~?H*4k*Wp|l#E!8MUGr2ZT0tVHSjvI0|NT>^D2-f%^Emo192~QQLS05asd=xRp zsb(!GJg&u*qj>F@rNUv%!rL^8v^sWx9`-^1W&@z}a$3<=c~Jt;R_{&$4VMcSB`q+5XFg4u3O&eVKto3WDl8{F(B&U2K!m}A7 zd>qfa^)$mpr`X_2aO*RxTth}@A&3Ce)llLw3`HmbMo@~Y5u7~A6)-PkYa~kNc|M2_ z5v`Hysw23-dsgs08?j3{gamzUz-t@z87r9WzcaIZNzfAs?P;d1=4!02OQpEnPnzi_ zu$g#6LJyzNMh+dSmqUrD3h)?hr0N@A8!z}LUmHJw*Z)tn(cD0(9d|Ia?)x}-!8d|i zoe0rEV?hsUK-u6<6TnCTe>tvIb~KJ48P-CkmL@%V{+1Ic6gmRk{4LtxRFuyBcYL0W z9F!YAhwU@t8_2LmCJcmmh#m6`MSUJ+zK*y)W4>CCvd7&EOMf~1eGHT?UFBdnkaM(? z@c^O=;H%aAIjPlp0EH&j6&Gxy|7*y;9@;jkpB|LLr#OWnwS)|KtUntDuyF`}eKQ?` zn{aqfZR}EWc$3Lor{2ST?{YHVDVZ6u5(srI01fbTc&H0e_k5ZZ>S9ckR(il{Mr;dE zI1jsU-si%((;&$Rc_49E+Xwk~&Dr>SXxoYWyXJKKov@}Be*<@hiYFi@PuAflteRGY z!)r55q2keapbx8Pz_kOMgio+#hsJJnn}k-;T9N5w;rncSpPVx_sUJJG0)-0&k6ja4 z->$%&w---@<2{}~g6sZ_vVwYp`QNwZYHemcvg^|kc&c1W{1I<0dsxfQClEcr4Kf0t zP9Z#nk3G7+52S0k>7XA#WtTxec!&~u)4E-b<5G*#Hh;XsqaS^bwaIZ*mbP4o#c5H8 zx6R?-HRt1RZQCjQyXO7)dnf`M+BYB8c0_TyiLfc2Xzr#jHsFC(7ejcUE3$Z~kaep$ z773a&_{tZ#@H#b;r8F?O5R#BshrA$%D~+)a80yT3(&!X%Y$W!|il2Y|EuJ_uH>w^AeSySnDWaq3C}44 zcuT~$j&q3E^IeCC9ktTnO!1mA0HhgIA!2pXzjNgWE_tc@w?F_iIfAp_U6W(S2$H1R z_t6@2zDgwf_zYyrH=tuc0hsyCr2ZvD9!p9@ei$1Pk}VVUsn1M^uuKGht$y38x8Wk+ zgF0DEwPunn(@+%*7?h{}LSF>*fp8;W5@-%%PXpILNNETYT}hPj3i>oHt4hPsUd}gL0<5o9)8d>h^DztgSAF3hXV{f4xTk^*Spc)PHz0mM?1I zC}37VeEQE(ct3!=BO4VS5GAg*!;c7GGv55;`%!4}MXZ+)cYu=a`ATaeAG^nr? zrO+cVQd4S!xzC#}V5)_T1B3c+AOPFQ#QEQ$M2YI8L}4v&YjLhOw<|ucKr6Z8^Jj>z zh>Vr%l}4_9r3n!T{H)-$K!5>jvx2R75?gv)EsBrSS~*?sg%@(*1qttZp`n;Wqfj8g63NV0VXRKsH*e6Oo z{4S;x97Jo00@jD)B|qq_mP52U|(lsRSY; zfW4K>sMwY6_}7xI)P$}yRNj>;8%@RtGqEyu93#)zdEq1(i0mW(@d_18OI{++{HxfAWYDS8Fwa>A^DzfK zB=#;`p&Ve$HHam^MB|154F0F$$&zYf3r;J^gx$Z)L|7sZj-LH00=9hU)`6fSc2!^I zYlquqL(JVKaoJF+M;@vELx5a7Q;_7zwH>ADT$ROXC;mcj;G?HjE&wNE834g@uZcYd z8~A2a9~+!eY-038vK7D-6cvWa%rsZ{ci`e=#6bLzz9X~T>bHC}Wgp25% z*ij0F%{WYODo!`GBDIa)TjZ3+m}HHu@L-OOi|AzCz`hf?@f+!rUmFVC&#~bPm;%wV z%pj=`x;=@B5Hs6N&(IJsiIITfgXS5^Pz0CXXXBZ~0chD}%KpS>ejhf^VLVgNItBhi z`ZPHi*%)u%I5~9xzrgxUMK*fkBibHt(G<07 zdka?!)Q7xlPiTO%9j!u%_n-vf!k$S*SWrCag8*BL&n!^qui|&$UF8C3&qE$F2k}kz`>#&Q|`dr?!L;SktUI$m%R?jpxfo7B^t*7u7dMj$36WOrFs8^j1KXfW~4n-bLc@A}U zBJ2c}5pAs}&<@SzuE$wBY;(`7z#c2Pz$17lNW0$5cjo3vZ*(`P+Vvvh{D!_77DM5Q72R96V}mAYj{lgybEo-824H?Y86S zgF22v73rwCrgYSN?bD!-iSGJ2p22ZMccDXcf_p6#wMehMr_1SXjV7H}ry-r3U`Lw- zf3b8l4hJmnNe4Y5nN`8UpTQ3uh5w-1@Gq$6YrwNwJ*c%ggUYg~>oZPW5JDj;NH1W#TT>ZqWm6Zpsb*vk%J}Fp z^vpV--G?F5S&xO6#dwtGtz@nFRI?b&>aDyMO~P<{p-z+j`=4c+q^pgxl!q}4$8D=y zU?kQ0yiSyK`U^W%j6aNdt$3~j!Wat0c+5xRTu|%j@j56y+eFl0=U|!T4h>4m5YC}7 z2sE5n7PZmY zqD$`5Ry9Hx&E{`dC~+;O=)xzT@v$7n#|Gry0GzY(YYmS zFpS2t^*I{V*d|x_9C|%=Zt`2kP=utz+(qph05`jU`aA}hZX!k+md{|Hc*gbsl^SU} zOd?^dno0`*@Mvk HCEo3Q3md?_g`vElq!THDT4tPj~Y;Ls23ot8ssxfnM5Mcr{) z=urKk6->|yI{u0Zgg~g^0b2oAz0j6OKgZE;+=mhMXy^5dcnx*Er8EUsxB`Q%#%AOw z+s>2nEi`!s%?*Iq-BWKW;>F2AI2kl0O|Jn15>8r=K|(GlY{t@%**7f;57`z*MyT-` zfT3ujNs?c_Qyb)0Mh}Jw(NufCVFdTW43Gs=9&|SS*2E%a%QF_-5G~fmg;&yJIes$` zH6KY#NCl39X%^P1x>&bf7B?t`brel>^9!}SOs>3=YQ7clDlVLhAd5PTR=HWKGGsT z>$&t?E}r~KZ44Bcy;K3Y^BHlHClj|Ye|kO9P00%+Q`kRUMi;ZdJuY~D?q9u5=tm^T zW6TF<1($S!#~1PG<9Ldl7ggD~Vy?(W>*bUUi#S(Lg3~5c;`^V|;QP5O9DVfi$Q4)2 zyW}E}r`D9j&yfn19z?fxozK27hbXjxT-$>>iFjdU5L|7hEy# z(o2B&ZtSxtY$T7FvgKou%OfAV^3r)Q{?KJ=KNcu-nY4kx6>~57C{Lp-wlObGs=f5W zh`ir`S`UjsTaMIlIdmj&=cM8c{7z^)O2>$SK+C)q%?sgR*_PJk7AZSJ->;lI|4Qkj zfg)E=k;C6>izWN18aYzuF(Bnk;NC!F1c+j-MRuZb)Xo2v-a!n3%bt7k`(OLV=#JMK zYj*DV;}JVXPDt)Z4$jPC>(4#y`?>hnF~=0BoAQwkngfe=pljk*)n=|LSFj$;L4y0lSxT&>u zKe5rRdG`x0Mm{!egnYQNVB>?48v`VG%HLq-Xksr8b&?4m5jLsofskEn0+cwcN$7X* zeA7AJRtsl$;rEgka{=Txitlo)?)vil5P4AIhBfqH%9#9mEp#2ODcWbe=vvbVmjC?u zj-Tx2lN9cOV>l-Psha&TmS()5I7EL57Eo#S5zYQ7Y__r4C5s4Csty26jwNWKF9)$k z+XnJo|Ad}xur77LJV&{Cl$p7}(=^0Qq~;&X%N`vTANVm>3X3>&Pl z{S4kAFlZqEmCry!B-O{3Y?)D(-r-A!KP2ZbzsQ$98$I)eHOC27h}z?-Q`ylW2Owj< zY)#|KHoIyz>;m=4qotl99k;_1BUo~ZJBi4)e~q@B)Am}l9fYxo32$PZKW&*et)(P! zzAq8JK0>wRKEs!|z@K=OFLAMtNVQd4FWKnv&(lsG7sczwmrWMn$L8OH@j+W$HCsjg zNrN0cf;T7yNEF!itprC~yd&O;GHueDnD&61*5pZ>&9pn*wAr4tFw?Gb)54y#DAVS+ zX;DvF3)4<;(^@=fwM;w2O`}j5JVo;IUA75Kuq~)#ssD76oLvV3aZQq+}-Y+Ye*y#?O z=Hg~`V99_C%=sRthRk0k9So8~qru`g89Bt)bOefV+)LKU&3hw`hQ-Id8sRbo&qX&N zQH5J~i0jIdaily4Nd#ObC=UP02^uGqUK|M1ivxC5i~|R3BR0z|)o^ffSR9NlWUwy| zfeEd?xKK||ftIOq#LY;NXM%}yZ74P!k2&=m=_xB%(-R~x zpG;0rw-|$ODWm8umLA(H6~i(-iU2$BMtZY&Z&vIJFCZ0VT?Xy*5C`%Kh8dGhj-o(T zIKLpIYm^U{R4z-5VbKu73GxVuI_)0q4-Os5YAT+u#l)}x=jB(%{NYY1Ya2aWoTgAo z23rw+^;i~8C*lZ5KoUCN*^zyrb$^FXCDZvHHe9FkE<4Bck^VCG@U)|4_<{o8?JggHvD!h|8^|*c1-ljmoUZ0+`nlc@-W&a zQC1H#fDn+fRM9_eN4ga~iHRG?59l`)Lm6QP^555QDw5PLDEm+PEl0qB2X!@&Pw6)m zRdy?UTczJbY`L~o5(U_QuXlQjDNPs#cvcalT?IsK*TEhOi$UHFiPpNi?0%6?zixjW zs10Dh7=Ez%Q_M8OSyhbUKZfN-7a=tw_5~nR=Qze5d6~&I&{SP~XN@eA%7^0L7Ll*UnM+)LSUmDtQ4iG`G- zMIhOE6;tZsuL;SpFq6XF1R_f^`Fyvw_b?e)Brpc4G8UP&r~9j{kYPw1gzp3JX!(%5 z`1Q6%2n-H!p+f-{D2({vwj;FeDSWDkG1?MZ_bsNj!logdVdW5ybl`!*2<{-T5lm?8 z(JivEYa|tIWEly(5wU++O4wkYl~Ra#a;ex}!X?wT`SRdmU^z3#;kuAl<*p*Oj!62c z7fMXQkWxxPXI6{Kk>Bu~CzWZ~h-$bI*|jT%M9#+XG!S<~PSd}BDxC8zpEbGj=4A6r zYH%&|bxOnT1wx9}oOCAGcQ2`ZR~e@|soN~;m19jK0phPljc+2_0(AOuUjj1p8%gPR zCB-NbgmL=^vm@fvA_i(pSTN<()jQz*8VbwJ6Rnu%316NTY*f;zImsBVI2jv4h>|Z` zbbQ%bM$0CyouLA^U|73CSsC_@fqSSQ3w4qSR}-p$tK!-t;-N8NV;{4a)UxPlSfJwO zFf_NN3BUN_1H_J%r!~qm7<0G*p(7%{o7bF2{bqInu{1Ic+M*a7bIAz?Y>PjE#~{}9 z5UlO@7-)G0q8UF4E6feG6nAM)tpQ}daws+_tvSj>~cpK4T!G8j|NIo?!_+>=&hnXp`y+dat-hymGci6Z3>nmiP%x z94-SnPZMy_i8*5y%UWfAgk9b5v%8w_`X*dRSLcRnhP?`##PUu(BtQqgE5sb!e~zFWX2Bb|kN zK;l%S(+9AuCWp~V1ZXvXfl=voHJ7^-2|pa68qUG%L`UeH6X^-9y92_djEuK;V|aMK zjIGLXTei<(#6pG^LMBY~O{8}P5bG)|!L$zwtydS^6Y#Ne5ibMrb)=^RmcRiO{Gz1{ z6K*nLY;MjIZu)`zrQGZ~7;bhs+}tucH^SnaYPf>+K9!>R8lpU*tqFdOvgt|#|8al|TkVaIVL$?H4$nJH} zq+y^E^;)E}xS~{WJPK#r?XTQ)*)@^n(mNzh=zyIWj)v*Due6Oun^19x3bb-#7(yr_ zIDz=BT{s!43nxSU2!xX1&Ox*c{El?I*Yuot$2!T}~c(Prm} z$X|yf46zKEct!37o7zIQz4s2oPdvd z-F-Ck)qTq{fBXW_!V$pn_Wgmj!wE%JfMBHg91Gffv!#i~|9-oiAO$}tM1Q;n2qB__?AY`%*6?#xMq*6=Pdw5iQU!8{(FR!RT3a-9m zZIpCm|KT!et$p@X0Z0xx5U*+T>nis<%()&;txQ1&}e8en9MgQfyO7PXTnY_eq z4M0~0iYW^47k3?a%ERjMo{9}iO(=O5#O^OEc{6<1o|5^o3?F$%JO!IvAQ6%Y|mP4|`UQ zBns|*nSsPZyC@gZ(Qj4`-5?0yvM`)8Odc(??6jLcT zY7Z~q%6GsOhzeji(KV&f2p$=b-f&<^34Xo|@Ssl-mYY7MTQRjC-Mi{7a^pxyGGgR> zI}knm)rC#Sl1_V_7I0QhjW7E4^O(0dp({S!Zu&=QD=7SV2NqhJt`9As7zwx;E2W1+ zV5NzNW8^69Ks;x6DfAlzZvzGI@2NIh=8B($EuMv*XYU#h*-vC8ll;IuVKA!hl)LLl`xNTB6z~QTn=RpSYA7C=yAidR=O{vz zu_ftT_X{HSOH&ztZ1a1{hU;Wc%p|Qt1i`_+$rOR8x%&m2$Z;ak1gkPJ=r$u2UYJbu z<2}BOe*>X)!ypR47&5s#(8mKtA4VL2C}lhB5ms2fMnp& z$t#Ru{bo^<0twH?XMC!wzo?Z-3wH{MKJF61?&?}t1=bD+7WULA9(L^mVC(R2%DyWI zdVyY~=b>PHoA4{t^;uuzM<-_#SDvM%3u0`1{AHBP&%fTNjs)8o)k|mOy0fEDGnAqT zXZ}f137W?_@>WWy%6J6hwDxlVmGkaYTn$@NINen~gw|cay&a+vI3{`zUzrP4>OXCk zT4pxn1zLvODc3Um3Lz&y1`^NXuL#%wY8eJ?{6$*E$S#Z_#_@%^3gG5|^gi;nunT{j zEYSri?UyAT7faaLRCos0CUu9S=mco0QS$pGGmmQW-&<@YQ@HGr%ypM}B=c0xYgFw- z9m!O=kiqOY7~m=!Y(ZQw#^Si(lnPHjTRw!=odPwU5)mpD%Wr<7l2}GnEc?sFQpxqd zf*9FIg8vnQNZLXW87Ug-dK3g5NbE6Pyr4UXRne!SQ29(5mHljGZ{EdsGyqNy)a zdwA61uYq;`tVLG%1PhPwoph;3`2OuvB7Bm^5k7fSwfL3g6h00lq{V;;9VMgi82&&A zrD|@d)GngRKc25OZl!8D>^TG2zNc#dnU7GPL$g^qsi!#=t`NKU+S8)?JCl8$D5??=QQSb(h}zxs=Y;A^d5EXKiXL zoGMeV$>7hDe%P#iu!DPH`ESI~7<{&w9{MvPL#wXGYh=ib+bmZX+^mT^R$aujL7PS& zO>l!vJC$#rHefQVj%U_>n-!JT1#dN3ahw&X8Yl$W?GZc0oJ101vpg(}5L-FCliwFc zh&MNZ)bY3x2SLU38wZll?gWWF{Z)-VP51|1RH_wpsB2u&87vHp`mdH z_p|d0i4fc~KM=4tSP40D+zGlJU%3;M$ZW9L@e2T2Lni+NQy-DpVCw5N_2HM$^+xFx zK5venao&kMz$2jaG@VD~u=5SpCD!^!DEGz7nW_ulT*`8e2Vv_U~g zStii`3VFdk6bD?){N_Xs-2E>G#B5z_BWMQ%!ROE@+N`WcOgBu*g<;`37+4@t-IRa& zD2**4Ia$}OJ8{)F0f(-Kv+e&kVO=Ly;=0idWY(4ftM;Hd-4vLc+l4`x#IB{$I-^-jYtD!#ourSOp3w=c43}lm&Q3(X`Z26 zcg-;Vw34CCIX00s48nJWUh)e5{RID>b$iS=u8@PsD3EN1E0E^{GK=@K>s>HUyB@2@ z$8L`hYy{5XM&`^g=dmUyThha?SwT6~N%3>5JqgYUT~bQ565^)`ky--CFM0#{c7sjW z7znHge};u5Z%q~ryQv(FbyN$vRXb;i{KOsmQ!^Vn(;KN z&*Zz|2J>Mih%?DsNu5PODFLPIO|5($g@*b^^2`8fI$;E>hWMLA-YlyB!ro1q}&_8NV(Wr{Z`f^Wn?pLxcUW)_h zL#+%PZfED5rn>QH$Ks?I4X(lSzn&BD`Y)W*3?z2J2BF$3Y-ZoL)<_gjOz{f}Pni7;)aU{m z4y*pe*&-*xP3nU#^PE>)=nzT)X_S+ioxeo;<1&p#-1)yq*EtvzWP-My-aBKfCVvcv z>5-TFtW3RtM>EVz!U6wml9x$Oy%1DSn#-jB&yAy7oHxS@pmGl!F<%qj8FKMlH~A1+ z_d&r#to{L`8+eKrpl1-!L~_2>A7V`ZKm;afkZ zhfbpCZAh@6k7=p+`HZV7ejd8a_u1!+<*kYfWbl_^%0%bcd-aA;VK1CA(?~$B4#BkQ zS*?)x_HDlcbj6^t$Sp+>PE6_d-T-*H##pVxiYx+=6!yJ=%iz1$bYK_oaAWjQ6D`($5}I3BEwdrW-#3mUFP$jU4;Jurh71z8Z0Xt>TF0OU8@mYStuSk; z+Z;PAs?HNTkUfFb^03G}n2lIy7wGY4N49qKV*>H}A#`mBr_OVaf#Bnf$0^#PIVp;m z)qaByfcA&h-30d^at_*k*8i8iH;u2NNaMDf1Z6QItFoy_1q2NcHbq2oLJ~+IBq0e1 zikbicqJhLLEDmZ^RFsHO!4);`s8QpHqmCdMS5#DVa7T?Jqo}AsaU;p;=c=l^`*eq# z%sjvM!}ETa{-tuAbN}nEuCA`$s;laRYqNe+OTOFdkzpTQQ&sHLb4zzoy`Zj`KB6*B zi{215TcSSq9i<+2*YJB(*G!D73LpC%S{>=3*zqNf-2W~AT?tGnUox+(plFGem0y}) zvb3n6#LCHAa)FgN)5^9u`>=9dH(<>$?})Nkb#mE@Ha6t3VG>r`}0P*j}1#L6QdOY<%D zIWU(WO3YtAFF${NX<%{Q@`A6ZCyalD!!s5l&;)V0ARP`@!=z`(%t+e5#RvPAMX?$5cYWO1cPk$=4 z5+`L-hSRKRlas7e^)F#kl9iU3O~9CzWF<~ZAt+{3_^H;^%miy%a!ztqww08WU}X~0 zGt!f-#FXS|R>I_DD<>-?z5@sf6sdT2Lrl(GuK_(JrX=Wv)YwIlBM_cBc5qQeV`Z9*Syy4o&9eP*n4AXakwg$;wDm zwyYUx+LV+$Eg?NgS+X-`WF=}_^0d?(RS+tv1obIheN3E@Wm1_wBOxs{XSQ--!j&01 zwTu~)Q__>O)#v2&x4U0>!FgOiW0env|81soWDLD@$5(!c+>CPs!;?=UB;w`AhTk@s^ao zIB&^(D@7d{nNH=LUY=K2P`1KK%U`mvY>|~j&C4&#FR>=6x<50&uxOrAl@G^Hsg+%p zSC(&O=a-eKN|=?e4j~TZNkb>`si;I94*`~}{IZgQ{H4SREXglhR#b99V18a%USQa; zVM=bXSk^Rd+0G`MPgp@%O}K^dAYtIp5pkuGZer15e$iAVyJ*GylDzW5f_bI+v3*KcNC;nMuJ z9F2n;-`UQ*QYz0v>h99~fO9e}9cCr#->V%se_X&CSW3BGO4o$-^mN!v_=?b(?;{Aa z2+z`w=R-mRp$}a_t|r72&L&()=*|GbVT2^YLc(2yO@vPf7TsX_6GjqJ2=fUS5vmA( zCA>}ej&SHD#3P(em`+$oxR_8)c#iNM;d{bomp0lx8K`nL;W9!k0cY|p9o{0;vttX1DpEcnv6}2_7{Xh_<5OA2?c~( z319K+BVRvD+RruGQ~%y*pT)1ub=({df8Ek(-|=qiA?6)p@9_`n)=Q1{_}A#B`$nVP zyuH!>60LGa*e^gDa}JOP!f|xx{gp7O89zclyU{*}a5o{^YO*hH*JN*uYO=p2Ol;p| z&nK)W9C1jKU2``~UCZsV==WC+T8^nKhu=Bbp#lzQZ z6y7TNOBMDB&MrA4BVk4NV3&Un>h+g5zu)@H?c-nlG5XJ~cR#ghK=Howg-+C*->yIg@?3QKn zng7<7gbgnTYD@NX58j-(rtq7;^a$$x(kFOOd9M1Ui#7eZ?!l{%{P^wPvwz*HQc?K< zp8YaAsO)Ot@lY+7ns4s^3ip%#(6H5%Q@DJba&yY(t?g>r8*l2%;cj^udsBSN@-pf7 z4;qe;{az>grM=is5_S~5TJ-vODX$k=)(3w%>hjau?YCPMX1$ixdVQ=n>j~7z`e&Q+ z<~Ydt>VZ36u0Ae!X!oA+ukQLLejv9$;{y63%54PKU!Hd62Y5&r%5{1^_Y+0>fxyzY z3@EqUsUIxoDr)YF4sv&&g(CTP_FtNQLu3)<4nNza?en1lO6ZR#OD>Sdu=~T2|&hjdbqpdmzbFzu8{0#FE=@bw6&U zCRv?NKYifPQ6ow_aoajF{2zADmY48k&5HOOeyEt1x7@5w zm90Ogx)|8l|3v-pXUfcds*`6IRTW2C>i-CpzNdIh9^IT8_ZI(8F%LK8r7G7&C28tu zCrjPiF5xlWmtTKsZRA-sY4EU{%~Pz|39RF6H8UiSX_yp6l#-l~WR5s}Y0Nq(H=e}U7b-15xamMWW0#i>cOJ66Nl?`8$-(n+sM>X% zr9f33bDJop@nl<2Tv(9LU3q798WDHP*%#qPjM+oE#+2tePpDO%S`P4sL_YG|nJ}-U=|*EjG4yEGg+q>1)kV=bHd+ zH5{3Ni8Iosy2l(J1`ZuIa)C!bGa)Ulg&ybCRhv}{-S|&V%b1vu)>`^xpY@C0O8Q1m zOQovQln}_w$VpDmNhK|{kUyhmIZal9#Eh)0s;qR(u^!A87Cu@k;-Gr?4+!O8EIrt z$IVI36hSJh$1FltvTFMC*-cU+(3*%Wi(ZFQGT}8yQjXwt(H{Dc@kS>(Etr^YYph<2 zBjluJ)70p!*?5H8B|8UZq^IU&dt~*|={|kZqQM*pe|Kh3w=&Ta7ryZFe6+1 zS_;{;6o-?VkGu&&Nesp&H~dCX@|IXfimud=VUKpjV| zsk*7#RHO(oR6};_zPizzdL@<2zfydp{!W{bmXn&9ma5Jn>Y&sIgj}5h$+I$PdQaDt z!O>LPuWDxxaFlUVpi4uS+|1PM#Efhjq&=&`i35_ArB0eOBRh4bS9LUQ1QJu#0X8`+ z!HM8#Ia!=9e0xu2QWa)GBJJP_iQbi|?2lDz%gIQiiJx8N&xzJ}jX?ghlBfGLl_Ku} zwCE9JT}cVkC?QT`9?4mks$t1lSsAMMoW;>pF>!w2wSuGQBG&nEil3{JdtO%WI>?84 zFTt53T&YP>?-=quBQ=Xc_lS<>nml{WXxzn{#(q^DCMRd7p5@69SyEeXULl0@sXpo5 znmuFMw1g~QIUB*eUueaH_X*i*HC{<4H7S+rXp2P)>e}p!P9&+ntx4+q-dSJJTRK_l z^50os|659up1MzHDVg+IQ%Gyz(2;Salx<>awz@Fs!qPVViisOoUBR_Qzi#qbcyHu? zoicl9Vo_1aeC~G)-5aZ+`nF8n+L&8C&ubU`MupoI_i@$g>Te$j{($6|74X0hpdA>E@Go`&G+`cC1Nc)*QZ`Wl7 zRT?b8lqWXd{_}?yO$b&#z5M7WdL;>8cG}AZZn^Z_OSV08P7!8zBz`0L=6vxB45a`b({^*=uT)N%HP_~xtk zfBNBN|BN4%_0z)}zV6_*kC;^q4&L?CL$6Lfd}Z+KLq3}P(Br$~=ic+d=%2=Z8Gp#= zZl{djV#n`zf9Brd&wm>4v?F%Y%MI~gY`%T@%+VuFdjRFG)AQ~}-JGc|c$U6~DShi* z&GxGsn(aLjI^WrB#}d*B#e^FPDvlFs`Tl(io1=L-2p^7{Qr^DsFfmSFkluNq*}nL} zW_zuKyJ0QiAB005YPOFg?C0~@u#oT`pT8ok<@4QyTEa7gR|x+kd`b9;&`daNW3%0d zaH1z%jNN%vtlkj2uZx{m#m;MD^U9cazNx;q*tGo~PZ-C$;6(Li*W!NON=le*B}}t; z(d>DDqp!H*oUIMeoK?o7S81SNArIj03$5_`9vweWpx)*=PUH06;-AxQ)UZ`s+;+9} zpouY7=(P6@4yw1voD{;(=oy*3#nw;PdPiI8dTps^<2HLEs5>jqD{b%F?*H^={3J_1 zF_^n&eQT}nm(^{!r7v=py6d&{^~vcL!9BC3?n=oW_Z#L?VP1x-s{^m=v$HLAIbhRh zn$l-lbxzf7RPI|`bq?i~dYVbVYWp?3y4|(Zt*xc*i!60Jsdj6sT6vbGu4k4$IGl@~ z#YL}W_W^U@aC>K|JGqt}2t03&rX^%roNrS}a$*8&;HFO9xtTJcE~;y^rS5wyea}N3 zn>HqExit3o4znHpY+9O+U*LCWlw13wXnR@5EU$6$4?~&d^IQ6z({H%KS{Jn3{SF4}? zWA}t{r%oz9eB{mv&Ux76$!Tww>j=lg488n2-nkB3@wcx(S~IbSSwH7_r#;iTUYK>Y$DvqN^w*&+LO!s~oi;U_|`v%+CA zpO+GD6YBLj+iN+;=j`C@hVI=DJ8D(@x$RzCcjOHdgF2oSZtrci+&Nzp&)W|Fg0p@4 zdb2B0(&-ueGpbi6K@WXynYQ^JByNSe9;m=)wKT-j?n@)D>P1j8S59IhM~znJXmy$n zoNm$k;ko-lb|;3-{xAIhrwra?pLD)IWKSggh42>P@CQP68sScY+E?8k{O|HR@4t-q zzy05OdA>;b9r{qno=v!x@Fd|Q!r>c3_6R~5;W2_Lzpvr34~Oh@!o`G_2>S>pJ!14+ z_!yzxqaph&LN(!I!m-R^uz>Ik!PyTDd>;K+$Sx*4M%YVmG%tgXhwLQ;udTJuw-Kj~ z@GGIu6Cpc`u$rLaJ_SD|99|o;R}tz7Q=SajFA!Qw>;IMQM9N*QdoTIw_t%h}Nw}Qw z3L!+ueu{HE;YEV?9?YB%^?&ERnRzbJrUv)DsdN7A|8T*VFVFc#zqht5=Q?Et{r2$r z-K6i_w>7kSJqqWcA>Q{KfzaCZ%QE-%o_vO%M8v~V~naylta@4Wy$5(8)IzI4)R-y#vdwvmq8%TK+^RxQ+lbkp6i^x$OLO2@>W z$y*X0yJ%P#HgJ9`3AiS5M03umbW03y)4`IuM0Mv&Qe7M;Nf$!8I{Fs9D#ZNC^ zJU722P_!W6ytgX#Mdpic@H#lY+iAL`LxlM1v7%J~4oSfuw zVVPXHrJ#?mgX?E@asIplUSS6&m*g#_Nw`eQte*{M`jyLe0992g38i8 zs8y9rq-%9P)p(q?Bc&JV{b%CwJ)yABZ^+Is)V-YjR@_vdD4(0p;JO*BW%_4LlwR0@ zyalRbIB!M*bb;rf5`Bi-Py3)4fx&7pNFdxdOPvsgIGaJv16=%s0Hkj>XU z`RP7BznqTWfw?OJdGuaaMaLCoAk|{vKy&`l&iqr^Q7M$_B#e9MfABZkrLG?oc7UGr z{HLqEsjd{i(cSBj8%YFW>p$ODvyJn0Phlm~<(`znXH|XPlcEd^9#}erdV0oxSS(X% zQkSSw9A~yzy`dkqz)CDyQd+*4-C^pX5=D`UnUt^kdz5J}QIa`Dt39Z);!jO=?NE1O z2P-BA8Rcc+EJ$kE42o#oN2Lav!fhR@Gi zp_?_6vrOj=i`e=K#WAP`u#B@Jf73@UM}G;i2I|c()u%a5pyI1Lg0}k2>)Sb|vpkQe zQwqz#Q{sl562}WM>{KpuQZSWGot4WLq=FXS)>jeMey6NUBbWb172CP>YkH zt`}ZEeP-bufF6b8JKfLLr0krhIJ1g@ zcM~OaWn_sEuZ)X(iGGLCcD#~uh8R&&;ej{KO_I4@$S6c|sZO?fmko1<{>V_C@+HpT z9hDz<+)VmGgJnEPgrk`a;(s`Ol}tE-8s{UM?TzBDN5mNqYc2Wljywt{8ICuQBAIVGJab}E$wc(=ZI5Kdm%KA-l2VECdxp~vqb2=c>9wPD;Ou zQonxAAks6e@e{1^XIK;XU`?=6)f>4S--yv!ES7#VCp~G^07_mVF&7onsa{TapU`!> zZ7(6*P539FeU@!!aiBRJ2c6f27JKqvXersYT}Oz`vF(*-nsBSj*kgumccxck zfbI?hhjL};Pp`We-&8XQ@s%1G&tNI?uKF+{M(eQ5TwUJsd^&o^WirZReL5s?RD6V}AUT_+^v9e6AuKztpxD5SsX$ z0(JLGD!b>8B9gC+65xd1TD=a}H`=>e)?Zx-J?&jiJD~6dqo)T0$DeNHFH!rKJ?vS` zqw>g+WAv*P=WHR?Q6rrfE{$P@cB>O4}1}J zWD20fL5!J$!%t*vA^dtU{BQ0yt$@s$#vG~Je zxCov<6o2^DF#O@!!|{hbNVZTcm2MO1~ zGMI4(V-Mk$4eWo|?Y>5P7i@q{aMk^c6+N2md4Ms6u-$`<9fYwDHQFm-`Nl?j1AO>l z#|+q_fw^!?U87wAS1{hO8YaBdXxG7U?>E}J;U?HVU|CcCO}W9sJ(L^l z^)2NNPydc`hi80Gxx>u8lsi222g)5D^CRVc9QsfA!vPKW!^C~~!=|6{hj;&qKRor1 zMteK_4DN+_e=^?nca@2A*tl+`%B@EgRqi(M@*G z6D;d+##)YsH^3aYhH;l=uo13<<&3}F1e@Vbcr4>D_d~lA{sX9Yhv5%DVC-cM%wyc; za(LKl~>Q!a>L3 z51)h;u*32A!2SPi2G;17?5_3(6P4dLDr z2H>SI2p@sD@O@YT_rYq|e<1#FGOUO5phau@rBJosKLmsDJ(vrdVFesK2!EIa>tGSA zhijm9vSs}Z2H<-z2!DjRu+NG3!vt6j3t=6+1=ho-p%rUcU%~*)8H_(%4Rc`~tbn72 z;15e-9lQ(H!&jj-)Utkq0XXO+{9ysig&SZ6{0vsZ9w*}u6JR|ogBHW%?}q`n69!@X zSp4B%U)`XS9-cD{|KXN(6AZu)VG!Oh9Dn#LtbmDe_`?ff9efDZ!w;bq zN4*z(@!XMrXt+CWQ7=V3~@rMt=T=)m9fLBh! zAASJq;E|K@hm)Xn8ub_kV7Cz#2;Q=jz4U- z41YLcIsW6ho?MJSoOB8PaMh*w!`YYN53MWkhmEW7ho@YHKRoRk{LkQiYz_Xf=k@r* ztJdQW3vR(5ZoUnFIQ0(vVb%uxVdp#XpTPFqgFo!^ApWq&qxi!?kKqqbejI;z>r?o{ ze{8}ZTF>Ag&v5_)aObo5!-VJXhoygSvegLqqUW3J`(gd&Ci`U=s%x@$!yd0Nu0P0m z<<%y80DN>?lbr;w+RoesaNk?_!x!JfAKv=`{;=7X_K7- zKZnI|Lw%E71(*Me>n{A;*Iaku2j6hrg};2yb$6m=UHc=~T{xzJ>n?oj7p~jz>0h~S z!@a-Z4|n~EKfI^0$^HZ05NfjfCtB9TsAf9|yGA$LxiF!9vt0pSJ+#@bh8dlj?K=2U z=VrSeCdM?|R+42Me?+q#fcKt>KTMs4KdhgFKRoI@{9)Gx_`}ZU;}5Hgo9*_=q;pZT zJs7UOwAoI9yRM{f7ts){NWF;;SamLi9ejR z9sg9e?`{0yv+v>$|NInxc>3q~!(sozA71A`-@zU5_s$`^0e0yUvb#>DoVteWICuffgs=3#AD(|C{&0P7{Nb*? z_``Sl;}35>8viuv{W18%pI|0D=2-mU8dwGYgtc&Z0DoA1T*&?dJ^_1AV>(bc7WO_V zWY2<|hKB6r@WNps`&Rhfh>-m(oH~YnQ1ET|2mF}HCwr%JT|W(fcw!R%us#`oI58c6 zSeAi5T$YJHygLhj_-+pV8J2Y}eKW_xhvkide>k87fB0-!$nHPgvi=Rn!(Qbfdk!pu zE8**K1MIytWN(I7!Ci1aY=WmQ!#|7TaXJ3*&=vT@s=we5(^ldSt1Iw_Q!d9J+N(mg zmCb&;GGqtfP8fu5Totl&)%UAIb_Klh8v2XD<8P-Q7o50(ep;{&S~(nVcjFHe={p#N zW9cWD3!kR{S_Qm~zG>C){)h301L${F4-e3<%$mXROaHF`Osd5nK0zO=T=+fxsw&`o z`dwASUtk^l?rHpChiCDh$^Lu}e|W+c{Na;Z@rMm{_``Ev!XMuIGX8MDtN6ngUc>)P z>iL`a!<*m1AHKK~e|Yal_`_#D!5oB{m07#uO&whQ5sINPp- znImkw2Dak|!nVWZr`Yy>c@S#N8u7(qnY5#*O zCfjyBoWid(S#x-ffdTkVs%;11fGPOH^{@gSfYor~RQ%zJG~3<{KZfnk;kq)-wgDr@G|`2bC=@}f4>5M_{^2~!$DW$pGUb|gFpNnroi3T z;t$8I#UHM^9)CE!3V(Rh4fw--u;X0rt8c^~ez^{R_{uH#!xL`9AMUKiA5Ogoe^?3k zz*k_$d6w1jUi{&SFa=J5i{SHcHQWg|!ej2kALhe7@CMj%KG%)=@rMa81_AGeKv$nk)Ha&0K8{n;*X&;7a>1klKyC}jTYdW9Tzxe9 zoc_$E=ga>(H~%^4A0ORlKk4(|==ztTpMMNx?*5Bf zx*e z5Z;*_PusRvUlvY(H2O63qrG}gSkFP9g8nD#araMjLwglNpa0NL;GIp-SAR}*>(4s$ zMBe3m&-NoBn9@>&7+OQ5;9%_5bPSKL@>NJo7I4^k1W#^_QVfi)T(p-}ZNM z{nw$#2YDyr)2F)nCiGI?rVO~| zxZ9xOjP0lkLdEIdfotwG-gQ7v3 z^Z2Jw4v(li0dqYb0H0v)(Ivh-=IcDFG?LJpFJ*sGrtUVXG!hSW(^y2Dq0B4#1yS5M zQ6ISaYV^J6kgsqpE?fr+i8F0O{=V>n&pna%Q7rnq=-Yhj->TQI${-DW1@CD8?8X=8 zzE&Lvd%C%KC?-z&)64bJxENee(9m`a1M3Z$-X8+=PDk+mZcuqVGhHbbq-Y{h#k}f9lJBt(*Uz zhw~2aUFI_O)sx$GJqfT)qtSo*C-3OJy4pwA>L~geI*T~-K49)+Um4u#mcerLZ_!uz z^uM_Jt?1J}Y_t#f^nI@WEc%HbHQL2KeW9y=guV>@Eua3ftN(#M;A7@a_UYSPy>}O$ z5zq(t%BY`P*T>-qmRL@|II{j9ZQ?(NjKewDY~XO5@CM zIaU+rn)=A+j5_pp(Ib^(J^Gk0BbTGaadyPNB9~(T{XF#6j#qvCM}H1|wXYm6b;~gq z{kX3?exL;fY0uEE8&XhsO@?)^u8QSoSW#Mag}#pMPKah%M|oK z_c9-P%k|`%^{BEcB+jHC8_guX&iOHFsasZ+=ntT;_2wh$N>{Hz??K;>B3~XB=sc+O zx1-P9$Nb}7e{)FbZP<%`75V~i9;453%QA-Z_ICP^M5;@%=yAU^+CO;HkJ|0#FAcpJ zeV0%Fr>hsDKexZpzRstwa`j5|LBB@UYtU~(zscu+t?R!X{m|bU?Z5f-$6S3c`UdpJ zeER*a9@Cw^T)#*5k44{#9?3rqJ?#(XD)*&t9*p$VY z)u7L!4-ZZ3;d&Z1#m)bA^fhhhd(mG&U*q$?-1U#?!S)|$v}pqOq(9BoW6{q;&+zG! zTs;kaZ5w(a`WE!DUVqbUqU&cR`ulC@HRwN}kM{aspjWT`x1+bCFHyCpX}A=hSQHlk849uLq8o|?MwGOk{$LhL_f6+y%K#?8+r};aP-06^i8vc z*?vhsQvUa%PsBfx9@C3!ZX4^5MNe(RKMg&n4ZRTkyf)IWL_fO?y$1bE^oZLp=||eW zz3At+k-wNDc_-I~9*bVlM*h;!SGM6_h<c z$27HZ{G$iZBb|R@dh?DFJyQCy=xfk}-t~Lh#nR9pMUPbf3eo?D9;tjQ(O*E1bbhKq zf4dERJNoD7iQfEq+8y_zx1(?8D6ejc&z%2wPtg-S!K<6s4qA^zAA^31S6>|7KWXSw z(T92U{IFh#KD&+eSE3i9N8En&m2K$T(JR}~_o8n=U*^qU)DpM;#PsD|GJ3U7zs1#K z(Mv;-+YQsuZ$m%J=Re)`FGT+*`n^8=Hdn7ipJ7KX-x~A_&?DX7ZAZTz{qMf?pLEmT zi$27n&yi0*+tp)e16z!q?$eW9Jr?~A^hoQM=9{?gQit$k$wLiA(NBdxy@eRvys4SGC!r24ZReOep-d(qEn z!$0O&&M)YZu3xd}OVJ};ztYezL61~_3(?h>fr#6Weoq^E4f>O9=-bi%fgY)T?M3f> zNaXqx6QIu$`uV>7o9FJ|SoGECZ~OFDTs;l_ltbIte)LrINab6Jo`W8#d~49>w2}UH z^dj^~<+~UC(l+#%{&iN z!_{lhFGL^F&f_0F*loYqj(&MZu5Uj5Y**il{%WT-u7AhV*RgZt@{dLDj=ss4zenBt zrJ+BFKF_D0F(YvEZsy}?&}-0Z&?8>|(ceSA&X>P%`_f+Y z_`{p*={`Nh&40`Q`s|}e@{dLTtPTG(^e$cK8}3ct^L$W_v}9KZoSq^+$!<=VAu&e1Tr$)9-W3Hx|7kV|{M+ z>DRe>8u}&Z`+fTNu3m_q#aN&)``iri< z7kwsUiC**R;eH`8C(?e4{;9A0-*d}97X8^VP4})%T+JPi(T^_vzbR zJ%$tKyGc#Lu6_g4n|^_Q0j-aJ^kZf<*+Eh{%t>m#fF}D8U;dli z{KukSQPgBFKEzwT^AAxGRQaZ%?MTLy9HFa4#-|DG#)k-LqV=sg+db&PKx^>X)7F?#pQn(SUaJ;v3m&^ug78-zEH z(aCQ5wdiB6;u*|Wh6!#N?m$0pHRmwjG4h^!j5MJ4t!%O{@TEW3O}{IRkNMX%+3))D zx6RF89Qu(rGA_)Q{)cY*ndl#^XFRj7{LD)ZwGWEXhuz#{Kj~e++6VWA_rW^iJbz2% zGT4Ov?XCRwtv8M6({us@SjSHE!)|Z#_qk#nQPKxiWlh!BCgLq1-V45MeOhm8K*br# z=QT*2&DET9eQAtw%PSZCllvJr=S?H}D7U;Tl>R`IeYDTNr|Vyh zu6~F07T^9}>+bJ5^z<5jztxxiy>9yT=pR4EZ}Ix}*Y)oHvbfor{$!KA$LIfr>mNYx z!+5|*@1KL{af}me@a69toj+BEx$0()af7e;(%)vv4 zxYvQP=ntWP2I}fqur6W_z}8{h99id-IUGbZWExgHPY>>SNIpr%^t>{B3dbHw*pS zjApyYS3V2e@>z~PHk0!4>833{fbCZFmFPXZbxHMGi3%U@n~8HlcC$Uen}$h3*OOi7 zMd8+2^8{PWcpN72MjM4qXn|{>0?lz1^zw4Z4dzQ~X!}Xto z{=vLvd!w(O-tFEmtwcY!fO_146*zS)dc6C*xB>l&;%2+VSH=Zy{x_q)U(#$Z@agBc z`Y!Z-<;@ZM!8M`xUD|B-_3h(s?mq5MLwL_+j1~5!KhI5nJbLbmX8V2L_HB2!Zw`7d z#w-u;m483?+Orb9&*jbbWZ(KHxa;459=xL2j`pqpfU9ptKY_8(=lIgkans+0p34~N zgwEdb9ot#$Kz;p3zl<@^6MgBQ=5AmAF&v}on(beF>3`>@KOTMQt<83ZZ~G^Ow;%lh z#!7GSoy%@=pZ8ayAII+`J>m0z(DmPdUR%RhabNvA)2)A-(Hqcj>ge6RYjp>9wSBwL z=RMtQf9k7W@45A>3H=zxWDob1{~)(~`}3k>C}XwP`qqD?yZ-U$cc9T}TBzeD};<^MZ3 z|0~fy+|eAdJz@j;C5(B0)3<#uy4$xIeaL%}_s=f$ThO`ehtDtO6m050`h)0;y}D-{ zPXDpI4@O_&)AQZ+k4I1VXLGCX!_+x>4*Hqslf2unuJ>bg5vWvkK2{O0d}p&gP8po@ z;DvfMTE8Ft`Zn~J(H}-1?mG?!xyQk7^k;W*9Qx|PO>RACe;R#y>zgC?eIJ1SF8T_e zf3fSIgnrU)>Y-1cOqHNI59~&N?N{z~eCdb#JGZCcbD1MyuCM%NyX7|k{a)ry@I5z24{`IC zguclN+0owgqYk+BWIp;W?HJ4LJ5G*ukCRpCcSncpkv@HhtKX0Q9eDsfx3fWVA>!0YZe-(QB-l2&7O7BO17rnK6CAEKFM(@=pWZ&m4|LEJ@ z{j(eWR_3NC@vYx<3{d{<$8)cUewc6jqr%&d{(k>Z#QUHm^y``H;tSvUKXBJSA3dEp zE`IarKWII``d6V3V2%ql?$bT~)xF*oIt#iEZzRsT6GAqRv*9@NbrEWP8~Q!y+}4M6 zPv6Ep=ue`b<<+CYeN#G~!MqA>=!4M*4hTi;`H@bQ(`e$SKy|1pUz`0IEuj{H- z&>vG8`dO2hGsC-$(MP#uT&VPvkbQ|Sf2L7N`B$Ppt8|~g=lu`*kyAqv$7OCuZ)8rF zUw!%C>*jwi`VQuJx!9+dxq3{H`@JmY@bKxMx_T`7zHH7DK0SP$N<-h3!`vV~J>0%g zh(3O1$o{~$eQ&wtQ;GibtWd;pNj2zyFb7R*V^UQ4ZAWi9D-^M9b1(YjIm`v)%ikz> z`(hHfUuI65NaNmP(KnwPiunFG4gKWvLiX?E#jPJvKf3j=5Irh4WFPI@{+{9ON4N8s z8>pSfKYF2?zZ&$6c_F*TcOAUXy$)_i|8zmfUh7N$N;mzz=&1#vh~wvCCekLt96gJD z{_|b`SoEh0`5iA`{>HocOGE!;F~9%i(^t59A^P|te&5lj-{9(%=zn7lpboxsOvv57 z8uUBMLiW49?ce6=+tJgPhwND2^VA9M^VDASvo2X=j+p;J_lqHXCCtdHTbsi8+RLv(MMgwyg5GIjMq_hxC;HLYeV+8 zKE2-cuSH*3$-P3fH;=pBGT4EhS{30oIx##h&N%Ub|A8PfPBfu)- z(0@Ze)0e+=oj+t<206qTatpu1rwq<{GRkx`RNGjFeldEa@rUcsueg=pQ}peJj&42N zgkE+#a|HQx+byG==yNuN?7zo&)*t<(J0^NR`ftp=^qcRw{0H~Byk|1!66RR?(^tj~ zZW)h8f8cM-UF6g6aP=JYA%ADCB%gk!)&pw$(F>T9>2t5H>d_7zMVH~N#5v&~AzRJm z;Fe+Zo9;TEMgQ<+?s*UK>Or@ze}rzm5wbt?wSDY#+dlq4-@<%OXZZHxXtxY|PvTg9 zKV<)lWZd;fee9mg#-eZdfNQ01A8ge7XaFv=(1(5;vX^=FscWOJYhQWD6^BOaMx+4o zDu}o8(~y5IfXS87SF|?|Kq}7t#5sRg$UfmvzBu(sl~*r)3vQ`6+lW)ZyiR&^(Kn-C=+hUudJOLs z4rflTe4jqY)nn1K&_TG2%}__Z57H1WLifEZQv1m~D(ZbuOq}bO?>s|x)s z^hG{BJU2-#dN1Y)d(d02qVLr8E`ZMt^gDhgeeZFho+UE$p`r7zpEw`>9im|2enewry$tMsHI@tD9U-}c> z^hcw=)7g&Lk3R=}`eC;HgtvU69(2pE480zGsZS60Q(lLD3Uj=T@s&@kTRxl6r*^R; z_VeF~{%`aH-t$HDKKFTjKl;{Q{8oZ*{o#H@J$X={cqDVW`ScIn{EtSDI*K{weB~4E zmQN1)kA0ZC%j+-4iN5}!AKBNokMQl^L*4VpI`l)B!|rb1_TL=de)LsG+Y$Te>_k^{ z-~HrWf7I7*{`aGQf_}7b{XO0F_e|sX2=Ln%K0VddN27N-p5K!2>EV7xIp`;zz}$8| z{TbK44E?nMwq4}Y7r6R5^dkq^c7NaY_Xux4diTN1W#-$ya6j6e=xfmr^`;-y9NvEP zvLXB?hHw8(bN64*Y4pR7we2Zh|L6oaf1}ZN4z(kWt}_q2swv9(9_Ym+=lf_!s{hr?-I`qrXFZSwDWjcbYADhrW zN9XljIDOAJww>tv(2w`(rWwUt|ImLyr&%=Y?`d!EnaO=XFtR=x{Y3Piy#Ai^OAh*P z=)7JCr|;>0Ui5#Vwzm=nK(veEL*Z-;aI= zI*$S2{K-540Zctfcq{sX_8wi`L(DMGc`D9W;cdfQ@BPG?z?`6w&bKe4&q-&_Nbh>0k9E&yyV2)Q zx9wNRlY2ZzZPw+X^4UI%^Etm~RO?=S`Z-snk%GPx-S^C+wj;}= zL6rY3|0{w2mB9Z>;D06XzY_Rg3H(1Ufv&qv26lX9*iQ0u?9t{!7x_L!zQ@RStJZut zT)uC+L^UGNk4wG>&rlED^gEO99ff^`DWa=;3bi=;uOZV_Q1>IoZc?Q^hkI4Em{fWH z)60DCY+%ij{2eCWdkfXAj9!AqQ#}f)W!50Wo(7hB#8Jyp2G&Pcnh%aWs9&0g^Lc9z zqj!?{&iX<;&T5myx8=K2t_|{i@M7cmr+nWe>HH7>cO{T1^{Ay+oYc>tFjJT-EEZM> ztAy3UT49}Vhp=AQAhez|Ywjux2;+o7VWu!wSS+j%Rtc+xwZb~#4q?5pL1_I|)-MbQ zVVp21%oOGdi-i@!Dq*#-R#+$8A*>fR2(4#i{lb7S zP8bws3Uh_U!U|!Puv%CvtP}1K)(abi*0ZvHVL%us3<@)axx!*$g|JFkEvyyR33mwV zg$+XMIa$9jAdC|Rg_*)!VX?46SS73$)(Y!{JB0PZ2BGzLS-&tKj1vZhnZjIQv9Ll| zC9D?K3hRVBg!RG(q4m71UlfR z2(1@n{lb7SP8bws3Uh_U!U|!Puv%CvtP}1K)(abiOk|{&uEKyYP8bws3Uh_U!U|!P zuv%CvtP}1K)(abiR-LS07!bw@gThQQs3u}dS!X3hTVS~{6hozUU!hkSN z7!+m-bA`pi3SpJ7T39Qr6Ydb!3mb&ii?V)UKo}x4Um^}+_B^_r|-7!bw@gThQQs3u}dS!X3hT zVS~`xChHdlgmJ>4FjJT-EEZM>tAy3UT49}Vhp=AQAhceW^$P>SIAKtjDa;iX3oC?G z!fIiyus-cjvw}$fD-O|0Ct(kv6TP>5?hYCjs#|Tdoo*{J7b(kXd3xt;l zuM}P@yg~ScaEEZ8@K0gXWoCPv^t;IS?!qHm=zZn;5aHMs`Xu>2MVKzk5}qkMN0=wf z7oIOH5|#;_{H>7h7Yi>FUMaj*xK?ekS}{*dY8(*d%Osx!F%n`iIH)9>RXY6NFBFT5^c!!-Zpn<0AOQ zi+!SSQj2&k^_J^v`F*PRXA93077ELRD}}3s*9mVGRtp~yZW3-4z9Ial@H64p!k>kW z!VXuM^6e_@BRo!cvhXxvl5m=Emhe1bfw1NF7m0m^utIpHaINrW;hn+(#2E36XUEWBHIzwlAv zQ^MzjF9^2@-xWIRYspVVuNQtT{9f1~{8iW}v^JaVK1A3uUFUm@=v{=}ggu2v3Hu29 z36BvTFB~j%(sejY?4yKZh4C%oPfko67Z^NaZuye3^1z4@!$uE_8#2%Yb=9&MloAFSO z`O3a(oyp0~M;QA~&{{g5N3idWVE+}nO5f@p#V7hR%LX@#{Q*5m5Pf(%XxUP80;%}# z^)>PJ9A-#rY_GDPHo(~R*cI%(u(y`a{t@iYOFD-pn{@OXQKU0i?7OEKyPn$#yBdqA z)>}Et*!7%D*wx%q%HHoRW7l&rVNVkK@n;*m(~L7s?5E8%c0KnK@n?$ts{&(};;{0> z-cC=F!F(L;iOfd_6Z5_FA!jJKxxye5x^^DnFf4j9t&QMSL|si?TnZCl+EJ zu4s%bJH;@5&1% z75~ajX1%&kG4VU_RoPSSF?K!g4)!C&{@{bguIJOiuKEzF_%F$Z>Ungq$BO+BJ?NAE zw6eWwcc}PhJ!aC;^Xd?Ps@U)RtFi0(a*o`Z&T)`V|qSCqPbz`rP{HtuYmd~vb>?+yT;xFlH(vMCx1+3>LWxY=wW$X*57`vVa1^c_C zqwv>zSe-&Z9dnJCU?tDdmJ>sh6SFxwfGwFO{%vL+Ts`V~- z)!6l%2xwiz{>RhCuIF07-cRgnUNCk&#{%{f`Py1JsN+ecf5J8s{}x$qqS*f~c0E@D znwqmf#eeN}6JO7ffPIxu_HXZwMVo&N~?0QT(_E^5Qwq2)SZ)f$k{+MpA`^Jm@ z-x1=cVORO-S!7~fAmx9y*e@+Mc0I1F zKChB=ChNgx%mZtR$+}+bzx>6dvzGd;mfOUB*(JuVe=`sJePXY>)Y$b{KkPMPA9}g5 zCp+f>vF~4H?0W1T@m~=8T9q*tJ!TKSCieB$8oM5=hkb|G7pygQJw^}v$9!#Vd;cx* zOY~$_+)v1Mso!o@<$1N*Ko%(us~xw+%Kp>c#$GM??P%B|cz}{Lur%3$Q-!t)b|3~7_6#I}5j9riQ!ah&z-P`klMQ$UkBC+4y z(b#8bmE&FP9X>JX=<#4^SBd@8&x~D<1H-;v?5T&Ebl#P8whb`lvtQD`Q0(_e{H4t% z9X&P*?QyaHZkcqP>%y~QUlwKTcSt$E%GcJ)=WU7q!B`Vtk9i>dkHkLYSY!W4@>4JN zb^&9LHn6@Id;5XLpvR`*^Q+i11{?dml1@7gXH_5meVVb$ZHLuG?5oBbySjf;OJA|? zlXRXiX6r<;+oMeU`@}w0?3a%*c0CpZElKQaWqVU3zWQxcm7nS%Ccb)3P)nZJk37lP z$4EWDKtf#|6;m$f)(2wmJk6w|$5;@*UhJ9E zjXh7wVXxSq%r5AGb~-i{xAAC3sG6Tdsla; z-j5XfYgy(({i@XGeqvwqiAnz^NoSbYKYP*GSBZVR*oXdL?5Bu*ve+BsM5yNpM4O4d z8}~E846}a&5@NLF`M!{@|M?{WS*GO0kzMGS>y?{J%=4eY*uNC} zLsD+e`SWM7hvb4kTH;4_GW+of)iA=cz`*J(_S|tM|IX|GBgOv3et$WfDE8ZvO?*Aq z2x$$+uJUiCoBhHky^NFi-yJaD^>4=Wagx|Oylv9IO3E!q>>rdGyZ*gp;?EWP%`LX8 zT-#0B-v8G~{CYh(AMF@&KY5ebKm5+bo*+*5Mo8yriC_Mu$IQ~Ik1c_3 zV-F}pi{(4)()8t1nkAj9^G!NAqPFK0ppN&OPBrD6DE6*mU$MyK$9c{=4!bJ>6+=U533~p zgNK+M9+Y+5EcWO0>akkx75kT}VT$Do{h#|cu|IyhNk`qUtK}K7mt0{C((Gt$ z75hc!n{=FR7CXfLmekLqO)}Q!VvoPbq<^7tvwjf!xcANWo-Fm&7W;>KavJ85kaP~G zOX~e}^<^rAs<*h<#qIS+AZ$1D_AXzU3;jy>i%F zUyA+ko+g1P*U6l-kNF>(^z|H;q;<5|Kgu=R%WbV*MvDF3f13m(`&JOUKCia8-$;@81Qz#W^1~i9Km{dMr7ey3fX-|lU3zZwwx%~DU!7uVCoesYRQ z|0A&{ioN4}Q%^3I^`?ov^EzX2u8-%4{UUkMktFF{fL+yxx)%3oB|84W`CldJtW^#2 zEU!tFbz+Z~>+e}&zfoMGPO<+x&cuI7^0S|t8C4Dya=+)?Z+s>3lNXx! zqYbQIwOyP&=y-(Lzh_9rStMF_v3Klh5;#Q8d&i4CXP&WNFY!lg;M{I5p4{WQ`N)TznJ}ajO3?8;@^0aG05$UwNmUil$!YQ2G%OE z@BGf>f0?9zli2T&2fMe#{-D?gd}Y$t^Btl6RqV6AG3ktz_%Dk+zQuX$3C@#he>F%u zuu~u2lK4;jX%bNHS=I81*dLbX7iYihcGf$=)Hl`cqn01Ue&nHMLx&l&6%u=&-NxWN zzZ}uE_2d0`ZSP_|Aob8W51%adcM?rG%$4-Vh`q;YCO^_lW1S)PeNwLyCH@p`moFZi zgI$%6CC4?N^inA4y!4wXXXkvlLhLQyUtc5k#d19zC+Vyc`~8zl{+~3-S$By2gm%X8 zmBfDxyWU?d^7E{YFOfWWOVYVdy|`q_7Hy<{?w}oGn*Tn0m&BhT_umZ;?MlGps*3dm0;rfxmOu~~ zwh-Vk5E8&3NG6lXBFSWB7n+{#+cQmiOW*FyOk@d51c_1b5yS-r4Z8?@1o0v800CKK ziSlICC$bBM)c}Iz{Z;i>_w7saz4v{uzc0D>{YRJ0`yk@C$%7Jn^gD%d zJe;_FX&Bar)X$N?C60Y*d21Y-NBY_H6SvE8#IM`j7>q()E}!AMnVb)O*7!^}ILMLy zE6h_F;t}!wz099aBz}(KyoenxCVl6i(SOW)tBAk9#N;`G38qr-blqs z6g%um`gIFU9!{HJzm3ozLHa7!g9nn=Jm8|YwuByza{i1<%SnF{@%z@A{N2P)A^!Dq zO&&hh4VDl;f4$MKCjGg@7tjyK6aOCZt6A7~BLB(fD&i+FzWKac4P55MB<9B(jXb!W z_)@NG#uC3r@e#oRiSgb?{$sdbG@JB~5Px#9`G3WR5j;iw+$rWK`khf|^8)eLD5v-P z58`L>0r=(Qzxg(1_dhV6c-|bQIEiA1HqsxKsPhjae)K^mXNhg5ZiLUQJ+0r$5k`M4 z$8|jUjH#F(>TiI6SC;r0ER;MyE+jr`8`HyeX8xd`c*mQ@_+ZL&9`VcNK{-D9-RU@9 zM0^M8VS?Vp`y|BYU2XLG{h+vaE%D0!Ca3-`5Aa(RXXDu6LDD~7Hvtdfz26gmg8Aa- z#9tsjeh2H9uj2%75#K6N=X^kX+Hj+1_zQ;Mxs2r5zj6P;>xZ?>%Mbp-=xgkEIOz{K zz~p4u4ZcYHJ-%S2-${-(dlD~?G(P%W^}t`JeZTNIvx~o{v_I(wrMV+IIb6o@A#e(o=rw? z5wCw_gg^2QMj8J<@_E7e9Pd!zBL80!&t-Nb{WXcYVqfAD`Qp#7$p0|nBl6bo?Zjsh zf8;*Hccc6#5ud}nKcDnP#a-y;@nbAcB)+|SjQOE{Hy>`FK|Y^cW_sY`>fn6h=Urg9 z{st20&uKG0A0K6SmR(##`fk6+EZYRF)T4V4ZKa9=G_ePxrO+% zj1N;t{{ZnP+l{b~_*29W;r>87@i&Nv)65U=C%%sO1AAM)RpMLjV0L_x`@LQ_4kP}| zSmSds=81f^C%*nAyS|n3w-LW}F9X`}Twgxz#QTSsgU>ZM_=@7Zh#g+u(d2pIY@_cc z|G68X&pQ9@ZCoB777_pQVb6BfjP!8}9)e?{kj7W8><#+rgW}3z5xtnkV=d z@!v5{{(}66jW&HgGsooTWBXux;=@_zxSV?spAcEU-yxrUiLd4Rs9uL0O8iysCznV+ zmH00E86Sq@U@q~u8RxGeeF$9g#a*nI<`6HCzLuzS28gf8n!@&_-j)%sZfE0l{ws*D zc-#mVk^YCoFIsH+ypR1}OZ?&Y4H!fGx5Q8Ty)p24{T%UmTwlB1UM9Yl@p&5g{FC^$ zuN$x@<=Kq>zl!uA^tjTKY3%S<@;Q3B@u&L+ zZxVm(0pouN?f4P#`}qeAKEFPP1+wJLuEaWYB=NTEjKM4HyN&ppiS_kZ;`cB=?#_M> zBL2C=bI&Qne@Vv2k^fBMS24f8N&Hyii*B>=`rlb(iJyA9DOi8Q5^c)F59V{mv&iRk z;uC*u0`5UMFCqRLKIeUy^j8z_VqJG0@m~@D>yBnG{mn4kyNCFa#D45U#Md$o`?}y6 z;wRp2g8Z2Byh?oZDg$<-|GZE9$E=69BK^tqpC`tcJb$O0o9<-xy*}~Y&QQfk6g%un z`Y*_f?)aR}d;1Vyae{T|&pRe=gwIUUUnMV`-+Ho9jFZtgy+<>X1?}3bcsJkM@i;$@_$xaZpAT7g9Y%cT zXKh@+B>!2&zsCLHiNsGN{&8sZUS}4GZ_V*~-FPbTU5+>Uk{yEO#E)NR{-eJYf<7)G zzArbxPUL*KocPV05CfFwTH>>=G(!FDR@}RV`01w@ezmz{a3}FYCK)h~@;prZxp$25 zrNsY>_>83nFdPRj5#N{ZYn@Gb-X(tA+XmcAd{exbA$Hv6CFA3MHH`Qy#$orL9f-fW z)a2LS>;1ET;lm&13d0sNPO#;Oqe$)le~^KA|{`o{zU2hs(HMLe753# zvd_D_9KXi&zbWne2=QYkn4C+9KSzAxYX*3n`5W;A-!^9vMu*=EG9X2*N^ z9HEo=&cvs1-|SN2`vaHfM|XY8^za$t2a*2PF*cw+;)fI8mj$?wtDE?C?{A`%?uRE6 z-~BzqJ#UtYzruYUAJ=KXMV=9f=Q~SD|0?U}-%_6MD9(%6;WE;%WL|JR+yZ<=jLuJQ zBmGguO%ytldFMXj7boi2A)H5>thM=axHSu&0KLfnLE<^)ljQR>_2cvXHRnIn^elhZ zC!e55f50m zJZf+-f%w)vM$fbz97g;S0!NVktHigw)dakf_=&`aon(Cc{i2(>etGASO_g%#bZd|U zy~sZ{A%C8H&UwS){~hFCC!Xbo{jaeOkxw7_fAP!K?*cmn%Shk$mI3;^W1wG2e9Og~ zYJ1PKmlJ>HQR_FYcky1d;=G6*?jilpxQ;uR_tp>}`LXHeSmMtUU-3@^CJ}#+_@Vol zoLg;bH#Xhf{Gp%u)b0LR#o0J^_#){yqd!mLy|Khca-YHH?;*t3k-n4kUBp*04*R@5 zhIq82jVn+39Pw{*y>KM)MZ|x%#NyA7h@VOPe(uvQA^vUReS8seZ|f#l3A~Lo@xu+I z|2gxZkLyn2<<-XE66*6Y;$dR{>NVoK@HwN~>n-A+JZ*eDo)6i>?DE2TlV%d-+=loJ z#sQCeyA%Jxzl<H9!xyL4Xr60bO-TI+J`8@VFWXYFJgk7%0Pb%@oCI2 zUJvJp*Y7bwJpT6sm->Gx>wnk78Ki%4tqJ0J{5;}2G7fi8&XvTkqa(l0@vb7iocll6 z*3-|8#P8*EL*M7QllUsWZ?lf{_dA~0H+urO#FI&hc=9yqdrsR-IgF+}FA^Wc`Q>%& z---9VY8|d*zaJ7mo&M(f++t7DTO0K@hxEgMOTFE9n{~K`_;l`%J$i;Y=C(uZ#;&9v z`FWc!SJH3yAwKk4{*A=`#vR0$g~o@&3+@Ll{&{lZz40}q z|Kt-BJj+i0O#DIlLIZpzQ=Zp|@5BAfv7}!|{O*K2L&lgLFQ6VG(vKisWWjzu@tuet zNyop8_R zpA(6nMSSo*18yR|ocJeejQ$Mbml0pXI>h~dHSv`UNRB^Be0ZXMxOf}W=jaZz?=7^; zGo*hZWBoGR1aA=U`}*c8$;s4Pkg3+9T0NI*&ji`98usR+T3Aihim6PYTneKgmCBY= zy@hg5x{%7&%GD^9t`7v6a7os}2UaYPuMvvh`wd z5KUrNDNxp0NW)6H6xJY7S9hv6tQGR5g^SaLde~klXVQgqA)k)qRH<-H)w_szlJmZ% z98<|x*hj9K&(!ke($sVY778-;s`ri|RMYi>4JIl>sw&QV(pl{#D24r^B6Jk>=WCfh z0YqQ}aY2zA*Cur1vJj>hrh7xX&h&+uh3Jq952|6MT&)=pRI=$zxrFX}!>lMas-=f9a}L zp&fnBKM1so`t=qOXUay3N^Gbl{gLcdIvdrk>6 zwFpy0hFeRCnNqcKN=)oTkO?l|f{BgQQb$*pK*K_rvIWkCS+|8D5gB@TCRrKVj2SwugK=Brr@lOM{su! zX{UXlrRb;%CEAH}9EiE~cFFpPWr3)S_s8edk5{j z8b~}J@T3yD#l$J5tJ-TME{p&j zg;}v;P^}k2nM@gYQB^L)`Tba_VirdVL9y^}xml^^%Mh5NI*E!(B2gOg2!Gx$TCqC? zqzLGFAur+S(rfIVitjA-LVU|+4kwzTHnqy7SW^rO^QSgY(>aP(avBxWwQ7C<9 zwTw`RkuoF(wQ9N)RiN@90}EnO7T~kuToO_c$`J?UQUX)+3Pa3`=5QmGnmVszR#&R4 zdrB%5XnvH`8I@CrKv|e9HRZVOj#)E0flli_D%CZe4W>_-2WY{pPH#GG=IqHGGgGst zPMzPiAhn=l^31MOP?5NhtCup8sgNC+H}hGXBk+k{Oy9Vyg_XIQ@hj_3By5aU>I7U{ z+A2Z^1(V2t5-Jjrsah}1g#$%!7!|`BN%Rf}GG%;)Cfo>V8+x5rsZE8on?0%Zg@>xb z#)T_Wsrpn*fJ$2Oe@VE(PJ=DOl#HM$PMAs1Ws-wj#q#1-l_<+vz6MLVgNfBqtj$<3 z3w?VT2cMB5Zh^*_sFp>HYv~hdtP+-jboP{bWLD)!Pz9NWqF}a0W+Y9HQECgdr9^x5 zzF6j1H94AGEyPr9>5K`E)z4(aPYJ6H9}&AYf)Y~@W=`7sRX3BuL5i3FL0^=`o2}M_ zC1AQp0v#(v9BTPeuV-=T*Rm4YgIaXw?ukpWnuQTu=zLH=k<3HkwUu}r;zK@zLLn@1 zbkd_{tz049i;@?~yhRCSxxSDw531JyZmuSyL3?$<_r(Ut!!q;cYQV!hm#T5_rTwybN=wXKQn;6o~~famR(> zpcTIyIhb?GHPk8LM_icd!k{esxNo5Jx57>8RO>vYb3DbM4xv1N-DEovp9``k=LUT?ylijgQ(O~$=Bv*>0 zDjA$w3gLcex25S6UEOp{ofhgGRz#Ee!&o82V)BCZOr zsDxxus^wbxvs76t>grJ34?Tp1$fvlBMCxN*ms$W2Gy8(XB*J<>pUH=%%%HiII*esV zif#%O!+99fYBK1YKdWQrO!SI!LY)x3vmR1OJc!Bef(1F#eUQV_ENU4DHN#@LsVb}H zV#R^o@&uuoN8*G|Jtz+~OHn)orwfXeZYg(EhvojGq*_Y`uApP0Da~gT1_)7FL=(5N z$)KI!wq3bho1?P;C`nKfWD673M^75d7xfS^b*5YyY`QT77S}MdcZ`#?YGF9&7~e=X z4SVSP62C??YSDr6Vc8aZk9h6t)Wqb1t%nFwa~u{Y))nwIVrM_QZmYPOuUQkClm@VG${2 z;#x}~9)SWp&Av`!ffQevd017dlH5?=RODrF5SGF0hly2fn} zdQ!9$5K0T!2g@v$%@?inf_h1O5Q$Qnh-BCeL8i6ZP))0qkw_?n5=+F}Jxg;EYYr0K zm0L9{Sx#%%qtjI{tkff9y$p zUB$;*;$teAT0}^!zOgfCAy5Q%3#Q!ZB9y_VF|Qcit);o@2;&hoX?8`YGB9k$lvQ2e zY)g2{t5PahAUCmfDbX^>`PdAR&}9K89>P6U`=8 zZ0!>TbC7JJSY(8xj4>z|XcKcC#h0?eQfmPZXcy#hI zO-pKI&#<#7Jr*`FDw}oa-<(-@Qy3osN@XAkNW|yfk7p{Yr&J@RT^obAuSp!6m_A0P zf1{-9DVf&A=m)}zh%wn)oeFYnFsq7pNYB)4V^FawL0v+|u5(cK=wy3B)Skj7T}8*> zaspK8G-In&i5L&QLVzS8vsA~7_<*fm4+|P98daY-tcYehqZ`XuW9yg=OzT{s9`&{O zt18fC_d)xD5gll~0LEO~Aj;_Gxat#w;sQlgo)}R>IuB*GQ^sYgDvwiL;!Rf zb71s_jq$LgDS;{2Hg__)Mz!Nr3#{i!KVM=u(on2pv&3)D)-7@Kl!gPzP7qV0G~iMn z@_6vTF{K2S8TKPgwoF}%9vx?vM?^|xlS_76!7hpD2XC}IM zjEK)IU4#@_0jQSa`^D%KF)3XOig;cDCvEWs#Oz8>bzutz;p2s=X;9>D8Hn^AThBDZ zLz7-SI|{>A?!qV*J;XXb)1WfBV;ciG-F2e_;jn_=E;?2@T;t-w>NJVaO zMYBIEBD1nv82u-Pf(|ygyp$bHUlXDaF|Y(~l}jfcS$e#)iRw;gEfQD0hL%CaO>5g3 z2*IC9(`sI(9zOc?cMjRZ|z5X?sIW~JA+cu(sj=LSzVoLLg7l?vVsM%g;c zAU!aQ4cnot1DqCJ#loR(jOU|Ly->gkt|+56$vDrwJZM~sMo+<>wX#!9V^Z~}u|+Bs zf_GvbXfi1#-l-=RiW+rpN;e063E!Nqx?v-YL}_YBC>A}bw!6BuV^E8kWOnF|FQX7; z&=4++y^4Y0O$(%J<>qo<*31m<+E`~~>sF{RLHAOh&=ShuH&KueJf7@{~c7r1+u6dUT%1NpO7R zkc7-2V=01w0WXpSY`F>@;wI;U7Ba?Lj85g4yZGR=5^zamc3M{Yl8CEnXWt{3dwkct*|MCL5GcCBDML&{1dq(kIwWqcxWpY_5*G38 zM0irZMRn%ki7m)z5tcP**<#RUB=0y7H=BZ)qu9$2x@JhMZox?BjRbiQF&z^uufa#&I~V> zqK#QpG;FC^B~_n@PY}yQ^s=6M9EB!(8l4h1lp-| z0il(KpNpkLDQbDDRaN1&eUno9_iSt4VD2S-G^-D2w2|YR_c4?01q47+N%__QMQ>@o zA#8(At|nkIw65Z@y=t3lVj8@D*d7fQu?>qO5|$qO{H#>Q6Z_s$y&aPj&n57dM0*3$ z;ISW+qXe1;+OvZtFbnjEIi`0Yg+79eU!-ua8Wz$*$g@hJ7PQM02-rLrP&ST|i1%YPI*^4V`xPR=%A0 z|2W8>5p0Qnd<`+UnkRm2OYr9F)eThMcZ|1xfbIRbM}yK%?5)Qp*n!h^>(~3Ae>Q&i z&HpZW$kwgxlKsp3_FLhf%l`qs$4EYYe2RZKDQ{28o0Z;vdm+MSKK{uomEQjG*@EKt zmv}sOC%g9l?d?pz!tdGPbbU&r z{@zA-JHJWZj>k(jqCX%1nQT9q44+zNCw@E@@1M#?`WS_ON&PJcCOX*y|MYWX>ydw^ zLeTg$E^zV<{EN45V|zc!_i@BOBY5G*3vnH9f7gRX;76x(9)9h|A0*m8&h~!1;D71= zXNmSFzhFK2vG0d&dBeS5y9$D967BtWWBfSO33+Vg76do2z1u%nYVQgA@$s*;GD!A+ zYofjX-i#k>cwagGN%ntVqW$zgSpR-3%!{{f`j4ZJ;ba*8`D@MoJFt`XGmmnAb9%q_ zta$gZ}|7pZECy literal 400624 zcmeFadstOP^f$giP}CIg7I`T&O)NFM6`JNjMUN#4DyfwUauJf7Tog<4AetazSZZil zXl7JeSXyM7U>am;P-%3r(6m6b(6Z1{-?e7ep0myfeSh!!{_#G)=V|*4dp@68d(E0P z*FAgh&zdmj+3#=9yn7Q^eJ9k>h#l8mY%T^Xsq#KAWVx&ko0Pbq9G}m9IRT z*Es{k>-^|CKf2C5*ORl%vm0HGHex751&y4&1#1}QS--BFuG7yw={oa_dEhbSOiIN6 zNq#|eoz+kJLqG5Gl={uHnO`tmXKxWw=HLEOwHuQuzozP;ipp)C&9;d7q7Jlj+{6$A z#7dBB1_2L@V-+IC^r^ufg;U>qbm*!+%_lj(*Zc8rkGJ>)l8hFha4?)L5N?9t0@%ZF zS!!{EiXUrO=5)8%42z}Quo>;Vjiu;Qi_v#y3%Jwc^#HH#hV2=n`v#9v z0|bo>P?GQD;$=8{8r~i&jZpCMTn-|E$7{0yj7RK&P3TGi*Iv zElxMtpg1i{jOlLv-qz5A#)0OB)6ZEp!>OH<#jTyu!NqWPaqi&e?e8Tztp$4jVIJn!j@!i_z0&v>ZGt$6|OJF0liRRvA5=4V!J0&1rI0n$4xh zn1>AKn_2>0;Ns=#ekoO zxzuy1hq2k>8|xQj7;C^(!{26eb2G*`J9Um|=2D)4RqxWXr^V(S;Sy@I7;YXOw%%)B z2SI0JOuGZ#MwEARi_Hq7QA^<5jL4VJreT#zS}j!UP0xOo9N08YFbjft%!Wuffe1K9LwF2AEQB}+2@vK(z#|DlGK2*X(jY8?@FWBqgiHv_A!I?w zfv_3^9(fRO_c6+&a)^!8_r=6=0J!bZZ4doA;ds<48lAJu@K@R zBtl4nkOBdZG&nDzI1WS0AUp*j3&KhWxe)RoJOg1Z1U#OD^F|1pAiM~n0Kygscx;99 zHVCgmC?pQ~?GS&H;aw0fhOmcmA3%IBgbyJcfN&539*5xkF@!S0hvEDggd-3>hfoRO z3kY99I1b?(2;V}$<9j-vfb)+Ksv(?&a0(E<^Ym!aor3 zxC-a%6nA!(Tnjk6LAVJ*8{$0R+zvvkX0Pvv{qCuyA=Uj4MGS0ZHGDGX<}Isjc&j1Q z7TLP~T<4)LKes9%%`fhcg)@3>ZT9VnmbSoKetl=uou`joUa;fPplgY*z8K@OKGb

f0FG#k_P+qDml{NesN z!&W|Ut><5_R%gJUf-+I4Gr){8P$iafwYd}xx%@Gfm z_NhANTX}fd4?jBHTr~ht|4HB*O+IbtJ^kTjvNR2FrwS4Q76Yu@x3zo%;M`_DX(n0(~dX15j1S#YJ_8y$up zTDz{pLcgisBz@=Ft#5_1<=a!kS|>DoZoS;0)!?D~3s-#6|70ttS?iMzf4(;43BU8M zzdgPebl3GBvh=NcYT5=mFM9b4znuCJ_l??h?mj1{{hL2&t4l{+ZWVFYkXGqYhwmQt!fh{Kdv0+>#$Cr3RK34o^)I8I zS@eY4*9#u3Ytwsqip^!gt!KyFl>2>Y$fMiWUmZF!Ff(Cw+@6WQy_Dp>;`4LuM%*`e z{+^?cwEd^q^-lFI7cKIelrrV?(A%d(EXn)gX*GV&sFRp$+=7m08|Bk-z;=H7d zXWhR6?#&gi&Z&ZP{rf|lb`= zas8XObzk+|kC6TYgs|7PPCD|wcf|g^ySuMw{k6wQuOW|YTruHtv(LxuS~~QvJ^5~j z{<;0NTNnBL_)^{4>yND|$_)E4f7uJAKZ2g0;d;M-oAbX3y7Rbi_q_vZ0oOoizOr+| zv5-R#-hcXzIlD$3JA3rfij|9g`tg$YKR;gjbM;p)PqhB}*qvq1P5tS$l75*tryZL$ z_VlGy>mMsmSU0Eb)bVq^d}*3XWmrJ-SFW}`&|^gOcgKEveZhijg9a_Ru>ail@;Mi3 z9{FwQ;y$Sl?U@C#ZLSpW9Ue0Hp&dWJ8Q*pKApf;r4xIjTYP*B)makm(+|9TCH2UQg z*FUH^_1CqMz<${o8?TKxAKl(oKj8I`SG~I9kKS=f>6IVnBriUB>3HGNDC_;5ZC694 zKGM~r>uzFQ9da4>z=!@lE=4*7D_$P=$U6P)6A=<3q&=bb;B zJa+GZ&mJgUnA@!1FP)Y?+->>u+cOUqKb4Vqt@O&r0foV{I`==*YxYB*z1!Bd>RRxd zx3`^fOTyi&O8>m?hxWgu4SC|>YjbPvU-Cq!XCwQqFPaq4`__AocUaQ$&X0oUWuIK} zAzU-g(((R>W<``wjahjx;I($!f+q|teszV9=bdYxn*z{Pr2|9B%i|!1~V%*LFFzc1z&*-yB;p`&{mO4Sz>; z`Mu5fZEt#19Xq!2*6wSY)ju#heqGwypVIce9rwr5pN{l9{>RFrwx?De{O7*bzt*f? z;`Qdsn}4ozeq{Zh59Sp4wBlFx)u4{juh6H5}OZ z=>@Oh_wK)aVg6pwl^y!irL!OO>2?+Ly*}po9Kp)y_s8m z_ZJpI}HwF6?_ z=((}_^E)>Ws+qU_&W#hd_E_%Jer?~pOuzvD-4NvU(kwYhp_tx&5yO(RfgpJ8pzR9ooEn)EMhc6EpdNgBW_~i2+_BpUEYvKo>H?;U%*x#VLd`_F_ zX@!06csb{>i6h3Jjj5hFx$5b=cU)gz;qyb)BTEY3YPsUzKwIAJAO9LUwD6t6F3)&w zuFlL@^3>;d&wF~+$k#{ITxxgu@R+A}WWzi<`pX&llMnTo*znhoYx@^1TJd;jmU+UO6|4$SAb1sd`<2t7?`#-t4aUSj?8!arwPH7@@i+*~)7 z?~6_Flbgu*!zSbdo2bXqCd$>^t8shofenDh>`ZP#zi$)rKQ>V>2b-`T?@b!ZcTMxg z`FESpQ`|)R!DXwrLkpCk5;AQp-@{G#ZBi5V#5Iv`=O*;DYl6SC34cz3TkXc|?9qfC zrzY&_*@XUAn($}aCiGM`A-}bWesQ=7`Myom%iT@*c`V5HXrvy;!64JlXlo3_8zDG+ zNe1s-k+&X~1m0WXv4i-u<6tlx_sWxTN{mZwji0^&N5O%66L<^|erRhvmm~RmBy9wf zp1)2=0`Cd&n0J%R_bT4d!Eu-P3-?lOCI4c%8z;UE!7v-CW8zXS!$&>Ls`Tz5MQqc7ON->VLH8u~Ib`Fpy zqln5o*ed0pCOv7CuUDYVw>6CKc>F2G`L@RBEwZ57NY5?g|2tMlJzq+3qrVu>+ZyR- zB+-rd6lzyzHc0*PNE~hzS~C0f?g&4yJ6zTdY^_H5pbC8IRes= z_dO{Uuazg`DEZ%q%4_b6{X+Hi7jAyQVb<4alHYPnmMcLf8@LaO`uiM{iYXgoeQU|T z^PUvkB9o1UWas9ij{1`+Umt2GW_w-*VyHj+kSu5cV4ZuG$6BmTl(67h#iC2t{q3AK|co1~sFc`|}%JefzE zMW+83(Ri}{JECgVu9`c(>ej|*V zcnk--&~JV;9^!r{9--8~I*pX_xEF^<8Tmh!>fQAJV`9E&YdoGV9eI}g*^~V9^aIks z6sg7tBl%{vlHW=8{6+kMKGI<~gB^GrAUj__CGlu^GPXlLX#brwo+O4IGw*;y6e7wxW5^ zY*$v&v#(a#84u$%9uH8x++QN|HQV!bD%Te~B|k=r8?9)ZoPwLJaG2xdXsWO8-jaSB zB9o0;YHu&TDv1ix)0O6nfKMbpmiU{%JS^`58t2XNB!K)MPxJC%lK+DA52Nzp^9MY( zlYA#_TzZuBAFdW+hS^R+0HQx_A2|B6Bl)L@=1tR{Qkoxs#En}xOuxNJ{q87k{KBzE z{51?Os`sFGB)^DwHyYo5!;N7$77*Wp>TC9CN&G;39EhQR5@TeaH#r?`)J&|>$233_mg;hPvsg$>!1FTHbzqaIzsEKu`(OO zgX~N?Dg`r0ej)k)lfR{YbN#j+(nWjT=ji|MsGW$7bC5B|JwK}7VOo2bPW|X%H`xwT z$exolKFk~>3)GwVRa7rFZT;p<1JV}azaaT@N2Pzx6aPAu>oToRo~3$OOZEE)&5wgf{$*=Q7zSA^H1P zNWvV4H=6mrDC_Gl%69|#Gv#}kp*auM!1#>qq@YA*m`L)yXx!UOetVGkUnt-F_A=j( zrCCN-^3UrZN&WpvehJwhVUvOr$^K_a|B%U2z6Z@m9mxLYX&_ujdKSWZ!xJ9gdfX)K z1hwK=P2-iP$~ekBQ0&u8TSy4PjCnbJ+hT~w~;Mv_0t|3l%7khxX}d++tV`NW~>xWI_Xt|C^ta@{!U_MlI=gxgz-- z($hfgGo?cEj}dG@@{)bl6# z$B*Wt?T<*FrZHm=&F_BWrQkHulR))yK)Vn9ko+G{4+UviW2_*4&kxeiPm`WN@=x%0 zl3zf)GqtNPY2n$A__H*APW?j4Unf3;>^$01+DW&&2EHGHerWZLEWhcupUKbt$c#q^4)3`cDTUX;agz}e)-zbS_(&Iwo!yp14Z)z@b}1Gp(bnWY4{%=X#|q&>-Ud z$j_~{`=H-IKic!f{nE}{l7Ge2PwmZ{__fq-w^F;ki}(Vn-^*)czLmsxBKvKc{kIUG zrSWf4dpmzzI;NiLWgS4Y)74ql?L_P10pKsGz$Q7YH{H1I5=a;>0tzNgWkHaQP9^c`> zV9jBLF!B3HkN5YIm`Xfu*PxzJ^j_>PXg7Eq zq4xjlv(hmyl7Ci`oh83Xxk1nl@W?0spMFUS-b?b?P)yW+cd0C|xzGF>t!EC=`qLt` z7)CnjUwcjxedT4wR?^>PvsApD^!KH9Riw46TS-2i+QTx^A4m2~KP8FD#6L}btLrK= zoJ95IPxDB7nn%q3WubaM(n-okke)GAt~K9E0|yfSDy_fOTG=+c?QzO zyt7{pkY>N@MgA|;{Qo|+bA$H%7L$J5Cc^fx&{f)Vn)H7H>k#C((2a{(FONVv^5?0( z;z-X9vZq9wr$&bIDx|P0?8**{SN$F+PR+c{hQj=(^n+_GU;hU?Ql0>R&~) zagt2@tuzmAr*)1gzktT)xzEaaq3t~539`qH_PyUAJug$fSG09_e;W5zt(5jtb2O4@ zKAJ)E-~`f>Np{{&`_hAn$LSc$JE&UvCzbs6BlJh?N1?Rdwvhazq$i5XOUoAV&LZl0 zkoI$)B>5Psua>lrolAT%`S}st;DUpu2LrdqQO}iTl24b#GvcWI+(Qk@hwQAN@#kEb z6r4!<|02HyYV+NDkdEc5*7{=uWQX~Vy(Se*rF=(2KFHtFP7-E6s-t=w_^oVj@s#f< zvNI?^^3)uSuc&>#_qo)wkmNhi_){M!d9(jspmCtr1j!GUC*xzX=NsBki6A}oRA1hu z(lJ5APbNQXq5Uym;=iQ+JLM~B=eNXLs6XCuU1r#c@;y)Oxi78jtR#OEwYQ_RA83}V z6O}iT_8ZN7Z=&|IR;!mds>gP;9x&&NKB8P6Mi4$og#(5Kah#|A@&`41v;X4bEv&D< zzLIhSNq!{RxsUdl&G!E?l{Yd}w*Qeb8)F;!xpxQYfR9MeGJvT6=$}%)N;Xq?c~bdx6orzhllQG<0Q{t~s%@w89tLwZ(G`(I4s zr^!zxdjhrlpsiG{0=m&zOL{`dp1@?8A&!H1Y$yM>qWcA8w-YRt(6Hwb`!lah_Ng(Q~4D zX_nDI?P@c%s}G59PX6)yMcUbl^bewb_r@+s(DKFTLGpcQ|KA)BUnThvoQUCggY-|K zd;_W_v7GoSYPaRI58s~r){*2>=)T~fDNlaeO81Xu{aRt%K)-DmBReP!bH)r>{~Uio z+S7x|^#tfc{}?nc1d;x1^5-ww{56%zbxnJI*N58S*EH{&_TX(b+SB8lEYNna1CJ+3 z{vz$GydY^Km&Tugv_bU?)HfdIsQt{M^?ZV);lUEkYc&3w`F=q5yPl8*eN4K;Xiokq z`(D=XXwuV*%Jm67pE^bSr*KC9Sg8G&`Y%9nuw0uTmx@nNxw=rjJn@0dcM|FOllqJC zk>m#v{|J@$x4$I6p7=T%ucB#wxrg`-ZZh907ioVym1_^>>#yx6yh!uxFEge7Xwq|- z{ImK`$xkOfk^EB`B^7U#*%(p8cf^m&;3y})1GTFHZ9TA_=9k$cWxaQo*%$}lTG8G# zfBr!2;e)TGV7SP|FqTq(UuKc~2x<>~Y5dHgd2JxcXOQ1oc9sU7lGz)PX1+Aeo8>(~ zez=4DVEQMG=*vz&xa>Td-hYlJ;?uusowpF|Ay*4m&QqRTpHvd>+vgECyXTd zILg1jdryNmQ-Ge&vaFj-Ml4MuaaCxh0X znIxZ2OGX^_pZc$N8`z~=~90lm1{BOYqOA_Nj{JIbsWAR0SAtEcxC+<={S*kJKC;gA)O8qxczs7Y9mUkCD zzcc0MQT{G?n9p+~Nzad;OF_E5G=|Z5b?$j-XCmpbfq9s(aZTDu z+aJaiD%Y^rrT!QyZv)j=TYAnln)ECoJJW)t{(Z!^X)X14dRy|td4-Fs2N@`aN{G}dW(lZYr+W+feDgTZ<8L_m^Kk&2^H1~n0QhDdl zdcYjthLQcQC#8a|r2jIF1FzA({aEtDRPw|0meL+`AMbN&=OL@4pPQ4OuV|dvNgJPc z5r2~S?;nr^B^v_(V!3`lDl{uoQ`>gDZ{Uq^cS zlRqzo%Y0uadvIBf`L6j|3N9kvll=BWg(S!jJZpK*S-(R$3BXP*Z#)N_{ZD|bMDz+)km zYw$J|-m@aZplZaZ#fK*@62&q(C=R5DC&a}?#*4y%xeST4R7we35E&DnC~}KRii{MN z2tyK5Qv?e|gDC1p%Y^^1Y*quL!siKlk`t4_Q&Ga9sZu09G7UuFBB9F)tr%KC_`KQS z(eq|Ug~h}Qdm(SD@Hv!McpT57%+Zly(8dj@NTg61o`o)qfZk-d7^2c}QN>Zok&*L^ zsKnHia3c!Kh+?V9N{UJ#>K#iU8$fEjIAazfBJv0pR?UZ2EzA-T%)|5v*d;i;N<`2g zXp+HD9g&HG5qiutQKs0Kc&br*s|!y^T*OdpWLT0NLXV3yn-gZB0MvObwP|RX(7RHT z?N>p`p^+uWB#1^2C^9K2AqiU(K^WK~&<+#}i;z(qP{6Jj(OMv1OqZpC5k`zE(P7EaDL8P> zPECY%5B*#8WHc)&6$b&kKumlxbX-&~2Op7HOgwaG9OaV9JYNS$*gPEv(K|*Y*94f$3c%iJLI9YU*n41KB z42=MR$5P|NMc0=ZC5ELyYl)Zck`j1@kbuS)9w+JxoEn~xkYpO9;=o6Uvc^HSvZvp` zKrKlbyBF+ODNqJr{iVi93Deti!jdED8Z5f~awrc=lO>X=<|G3Wj7Y;G$sttbOdcTj zNMXi-`DUfTB^Z^af|D0ShDS$+i~6J_(Il`1pd3yBG2zg-(B{Nc@FYgWbt0y#HN7kH z;K1w$lnGX`@C=jPDl~$Cmc*DuIkU*hKp#Y=g(uJ)1V%}QyscbBUbZKK zBxcBpeq(lU5vwR#E6DatU5b*;c0^DP6lg3pe&KA)QDPc#?S%A~>>VVdD3F5rDJg6& z40WO_sT6w#SXwYvI1A%&jickF?J`{sO(HIv&W)FujYBFitry5{yMWAp0(0XSflcA@ zNI{sMbEs|8V5&ALNQIIEqggCFg5sOwo0P=y4Hq%t(PEBDNthQIp9~X!tZFdQ4MI+O zNsEpjL)j$43NQv1f*^%nZVWjzN-03C+u#3kwNBiS1f*0;>3CkydYMz3IP0Ta7zf`Y4y zAg-;Jz!T6-X|V)Au9bvG`ML;F9G68vs8tbYRdL|?dIyp?gjD(c z=##UhIr&4HBLUV+LfNmNx|o-N&-)8QJ6tCkAke67tLu@5mGNEigkvlC^lb&&*7v`S5SWS7Eti2_g@dB}jf{_ri@-ZiydN?m zQWIgGH{v4WaItN_MUp!{jKBr)yhtvBi)X`sfZ;#T@E>IO4>tV$4F92qzrW!>%J3g; zjGhwcKVgC~der!F1~z2a4@wqG*kmIvEF~!h)|#-M1rQkrMjNn9z(tuUX~^+G!Ptbk zM)1P{lP4L{v}9P|!m>i#IZ1V5R{;Aaj_w9*Lx{lp(O?(bqkHoR{#g<*vJJ?L58>=!9?7Pf^sKH+mc`# zEh))>Vo2+u87zQ%aokN%#-o798Ts(&u=u&KSc6^}mYODR29t0H3+_5ol3?K`?q9(8 z@MzeDky{M78w2ZAXaew8C=zQu(>F$};C_cl+%6PRbhL=bxnD%Z z9EjV4a%2`9Y?MSM$zcJCi6cF9UWj4qff%lQlM~~OXfP6c3e+_?NBA?s2un$b!auP> zECKEn0mNV{PE1IMrL9s0<&dGEXg&(b+x{rAZDvHlzGqkjZc4yktWH=|3S*<9VpE}~ zB1KITMR3QB&Z6OBGVFvw)e1?dwy;>ja;=syH^GR4u|e*h$(AP!kWp;oa6c0Z_nFWt z07!aHY7A6}$;%rabDU?lKj@3ZIZ5-3IJhwdPZ&`VVi_Dfd&*S*aTEO~PDMYahKt)* zFgqN48a7w-*yPB$u&9Qe9vTjkp)%#%o01e3pDeb5MG4}l*+gA^7}*atTbupcATV|l3$Plo71+(UUNEJ>Uv z%@G^llM>Xc)0EbK?3ZC-lDuW8o?$?+XS3HpWdDKWg;sf&B;e zA7YOWRnY;1Rdle?bJFDTfrxMQMpA(%CHKREEJns$v%rrB_$#A_v#!QoEC!;w? zIQ{qUKM(xpf&ZU-z}aZ)C4ZwFpIN7Nj)5oK%?)4Tve&GKC&|r>;ehdQg18r@Azmxe zU5#-+q#NwzwBG10``}8JXM0_ZHhiLL9Hh<^Au!dQk!p2oK)zCh!>h%eOmF2omUyf^X18sCff5{>Uee7VN=Bfdi82M}MS@k5BO z*7%{s8}$B_=^qR6ZW

yobgwAl^&k(~0-i_@%`AXnZ#Dz8e23@qQX#PP|3qYl*jN z`~~8JH2w$B6gQ_>;u@YW!K^{WShh;w>6~op`IpyET*TJV@g`h@Ybd81W?%Pg~l%>zDnbBh_BZ8JmPCKegpCK8gJUupz&Ks-YAjvX|~%!;@vd9hx|0D5P8h@Jj zJdLj6(jZ%%x<#=8?=q46DvuhRG~#8+$l?Znq; zd>`WLHNHRb4I1x9yiw}dKK+UJ*7ygB_tE$u;(ay#A>#cs{t@CW8Xro$RpTRx57PK~ z#821wMB+m=K9zWz#xEv5OXHs;K2PH_h|kyfWyBX~{0ia=H9nj8B8|@>zF6Z|6JMh7 z&k$d(@%hA8Yy6AE*J%99#Mf(lA@L0w{}%B+Z^`xpn-t>zHxf7d@W+?&^yz>|@?$)G zYA<*TMQR@7>Cx@$?ClNUdS~MJ8X*_(6A*-@6^zeg{3)g7>!Q=}W{}$6< z#CZ9ohfFMH{F_Wq3FE(Jd^zJEV)`o>e=p;!7>{F|c~mn#i|Man{8NmtXT16C4eDy( zyr~?|JMHcEW2VQA@j*=9gYo|`c`wG(r;y?*Z^l2)^!PA-IOBa8Z~mqRCi^iS`1(ZXp3h2D5gJ=@$~7NNKIq>T$Znm@iwL> zi}9I^&tv?4#^*EsVa69Q{u!2UA>(H=`69;qF}|4b4>CO^jL%~7<%|zt@)e99$>ggT zZ+`2A$<>TEf2$h#8pcN;K}S8~@f%I^XkfhgTWlijZF~EF#}tOM8{-og@4j=lYR*jdAk@dp_1!T2YbelNx^VDjFKhfhG&;lubmrpK4@H#6Rk z@$_k?&}Csfd=jq?E8{0JJwc4GRMLhqo$+5VK9up%jE`pg3ye=>d=Hjy8sp7xeep6I z0uFq!u#1ipdu-ejU?a%=oj6FJb&j#+Nf5 zJ~>uL1>?8{;P_ z?eP4Z@!v50UW|uNj@9AK_?Hz6&&L@LpCYTnm+`+U7S=zEH-B>nlP!$*V)9nT-_7g{ zV!ZjA5qQ~j#^1v9gfgCfxp2I;4&?#_v=tw1390W_D&VzMk=UjQ@@4 z$!Gi)CSSn#LdF*|o_;c2Xe(m;N~XV<@lzOI!g&0RdGjb|JiX!|k}4RVYzo7Ek2Pi6A;jHjR65UCA}zsmF&yY212E7Rk~_*IPeVEin`dolhOrr(?K!x`_x z_;(ra%lK|gzaQhx-;BUy3*&2;9xLPNCl-XZAjUtyv@XvUkrHGr2T zGCqRIr!hXB@ixZ4#P}@6-^T38WBdUopU?QCOum5e&P=|L@r#*!5#vuXzL@bbOiu~p zUuJwc;}&Z^`3A;cW4!UMz5QQhdfXUa&E!28 zKc2~ZG5!T6@6GrnOx}m_w=sEN#`j?IevCiH3tN+Zcb8$!9U1ekw^^mB;w=Og^9SuQR@Y@wc;l3mJck z@kNa9$@pT%oBt0xCYLaNA(Jm>JpCkzMe=+0_CJW}cVqlm#(OY6it%2I-@x+qW_%r!_hGyXv)`BT^ixton;+v# zn0^c6hcMpC_%y}`F@6fOXFB8eFg}#=Z!kWZ@x7S-M8@C2_%z1f#q`)1@4@_##ds$s zpU3z;On*M(pJjXj5M@%Vo}m`4NSKQT!>zi)5<1x&vi<4c*m2jlN# zycgrgFy5Q-pE2Ht@v~UIzKn0q?Du2*T}+RK@!^cOGTxi%4`Tf9jGxYUPnK^eo zd^cuKDC6H_^3jZclktg+Kf(Ak#=p<>+Zex%@mY-jl1HZf9dc~S~&dr+R z`kK3|VO?I5;(Wcrnt9OeBVp0?A*X=8c)iz8aB{!RKzZ?=&c)i3*RNmC6ByU|7i%jO z#{GhewWSI-6L_b>E&^{>7`F&6)~-<)U(mf+o1rk?JYB4vudtiIVG6etI9TCU0{bi6 zTHpZ+-z0E%h4BTri?yB#w-wk)VSJ(MV(o=%W_j^NE-1gk_~I3mU*UEFmnz&|;GGKN z3p*EUH!Ivx;57>43ocN8h4BRzD8It^BFe?uFop4jl8d#$3gZhS7i;|$#uqRy)(%h@ zUqrZA+g;&q0(&ZatH4eQ;{$Ri|5da6-U6RgxVylW3ilAWRN>nN-l=d;fj2AMOW-vM zKuD8ItEaSG*E_%4A5D2yA5P=1ARV-4zG;r;?UDU2IJ zQ2u|+^5e!1)W5<51g=yVH#VUCD?CWxoeB>Yc(cMo1YV;sZump_6~0&C`3n099HuaC zP(%3@9wxBA!uJV0K;hv6cUO3Xz@7@@RSo!lMK(Rd}?( zI~5)y@MeVr1YV=?Sb;MX9w+d8g>l0N>R;jU0tYMnfWZC=<3=B}e}yLq++AUO!2#-D zVchV!SnH(lB!MqnG0Pt$@JWSnV;TCt!jlCqRd|ZPI~ATP@MeWW1YV=?Ljq?gJWb&F z3Qrd}OyL;<2P^!r!2Sy3hAEU^;YS7TuJBBOJr$lMu#>{G1-@|EEPtrLClwA8xKiOc z0+%WrF7Qr;BLv>8aHPO%6pj)&L*cms&sP{HAgF(ZV+0OX_%VU~6`m*X0EJ@(?yhj0 zz@7@n3+$wDg1{FV%}DX^2m_+kz8|G&)g+XOzTaE8E@3NID7 zRN+j4cPhM0;LQpz7kG`rPYIl%@Ct$FE1V^8n8Mit2P?c%V1I>k1RkL9DuKHzoGY-W z!m9;#Qut|sFZ^kiKTqJ33a=5kQsHL=E>-whfp;prR^ZJFuM>EU!s`XjQ2054=PR5q zaG1gy1P)esqrmlqd{W`f0#_=$Mc`6} zUlw?$!dnI2tne!WuTglLz!?g^D)4-T3k42S_%(rp6@Fb{e}&%=c!0v&1@5l!4uL%t zep6s4h2IkR!XIY&iv&KY@J@j%6@FXbQib0Uc&Ea<1m3LhZh_Y*{I0+m3cn}te1(ez z4paDjfrAy^Be1{19|$}^;k^QPS9qVmo(g{`u#>|31-|gRS^g4%Pbyq0aHYZr1TIzh zBY}4+d{E%c3Lg@9jlv%boS|@;!1EO@7dTAePXrED_^`nK3V$l_0EIsjxVyqf1ol+; zsK8DNe=hKai)Q&N1U{*7rNEU6e<5(G!e0u!Q{k@!-mLI3f!8Q}T;L3azZQ7D!c_u? zDg2GV!3uvXu)o6J2|PgI?*;Cz@CkuE75+hBCxw3$_`(IV{M7=VRQRO8l?tB{xK!bv z1m3CeX@NH@d`93k3jZu{hQhxHJYV4&fx{H86*ySovjY1oTqp1Vh0h7xUE%Wrdn){^ zz)lMPCh&!Nv;6e}pH%pQz?BML6u4C3-v!>O@E-ziR``;@YZU%d;0%TT5_rDC4FZQL zd|BXNg|7(gukhaj4^a3Yfx9bwRbWqruLctYhQjz_KHUE)>?UxS!Yu_3R=AbG{tDxZOtAh{ z_$Gn7D~vD7!TMj}wgNjT>@M(yU(ND+2z*juPk}2H#t(F%{0g@hc&Ebnffd~UD~vB{ zK=~E!Byfhp_@Ne*UtuqS!xY9Bvf%ztVSG>y_rD6`i)B!Lh4DpWxc^lcUr2!RD}1ZK zP731-)Uf_LZIn`d7Gzz@-Y`F7Qr;dkVZ+;a&o-Q5YX&!~L(q_#!ow zUtu4C!xZi#aInI63hb{iz7PuKSGcdh-4*U9u&2WP1$I*SZh@)e2@?IUuTxzBJfFt{ROU6c$C1U3gZij(Ek<27ki-nD;yy3 z8imISoS`tj_y_f`uvOqNg~tmVtT29f0_9iuL4gM-j33%U`&T$nU{8f73hbmXzCZ!x zKWmmhNZ^wS2Mb)O@MM8Y6`msSPKEJBNhrU4ToqrP{RQl9--kO8t$jz zUK;ME;f@+^qhVJKU;RU?e+{44@EHxC(C{%0AJOn34e!(NZVm6y@GBbLq~UcM&eia8 z4X0~3Rl{)_j@0l>4ToqrP{RQl9--kO8t$jzUK;ME;f@+^qhVJKU;SOHe+{44@EHxC z(C{%0AJOn34e!(NZVm6y@GBbLq~UcM&eia84X0~3Rl{)_j@0l>4ToqrP{RQl9--kO z8t$jzUK;ME;f@+^qhVJKU%jZ+zlP6i_>6{6X!w|hk7)RihWBZBw}y9U_!SLr((pPB z=W2MlhSN2is^K^dM{0PchC?(QsNnz&kI?WC4foSKp$!}~P6Tf;jv{ECJ*X?UH6b2YqN!|57M)o`4KBQ-oz!yy_D)Np`? zM`(D6hWlx_mxjA(xTA*KXxLT5SL?O<*YJ4_pV9CM4Ik6+5e*;G@IDRi*6sxbO_uy%0LrO<@mHOwC5QkT(TVAhrzs&|uPmPc04DxG){E(G+>T}JSU2iS@b)>bl zp_$d`V{7HLln$U^#3`x3?Rs^T*ylE{$M>ymBk=afNWCk>nmOW5kTk5>XHssm=8RZ< z-o>c-rsn$fnh1D#`D0hS?Qxn3*Q)&S`r3t%h>;Mu4qpEDwq~c-d|1-OF!sYnyHS${ z5B{y$0S(s7^adlfMKMTUuN!O40mgN^7v@%0a}XYmN~Y)*$-J$YU7aOUAekC#PDq0_ z+XLTPF+TZ-W$XbNJLVFGI&*AA9SsBA2StKBA-5=a70EIG!SFD^G5;QlG4uB@8PG5o zoN}W97A(0nJGI)H9a3e@4y>4v9Z+5tfX~N`%=CXEmUOn}1Xh6kRn{C3$_W7BvKlvd zF|4jxPQX9e0sjatC#2k(omUJFM3`e+<|)kYEL5~LFS`KmQ<|4KrhE-=+BKfi58gpA zQ%pTG;JqZ7&o1dEXmOY;qMVR_h8}PaJOGw~eGbm{wd{Ax^gKm`>QuP+l$$AU}b z(;nj{+UtO_pnUeURSpQPu&14N#sBKi)KWz#GyN+gtvUQ{`DCkNd^w>OpWtVvR|vMk z*<|s(38(;Yen>T1Wz8MZb`W$7sDowDwoLZ}3;^ip(=Xxao#{EplnvlNmSUv1fvalq z9Yc`^Xlns){$M;O1M$(=iO^<<&;8jR ze*~VYBVT6g30L7E5jJ`B)W236Hqrk_b!L|3J9sKC{Ml&NI1j1Zw@=;zEfO!yK8}v~ z5MC)mXX6V6LSc?g^qSm`!v|o!3ZWSw&J`Wxwxqr>@-p>Qo0)IlLjqO>!s9Bt+^f7_^Q%< zM}wm5Z&>4Xo(?|R2u0Exfwveavs3F~oC4i})sUkaCSin*LN#-cwB}|NcM|s3@0o-J z$v%pXKlYO-A||`tEQ`mJ-?b-Cm&w&U`8i0waq#@VG3sM$_UAPgd#;*MBDuRgSu;u` zJ2!1qcIqG5A>gY(n0mk^If2lV>vK~7Kuw#LcJ?i9)80125GL|SO2xmr29W7x`f`cXWA=pd8t^_+t=uNPN7<%hm zMa|B4h^i$p7E9gY19jl~)&C{_k zfCxTE^hL9~f{!Hz@u8qf^i9EHJ-b`aK#7qE08j;aF{+D%4}@<1jHsxKx{GvWKN$qb}*c=t0Js9F1>sp z8(fhMD1nl}LZz(cG&JMvfYZ>h4EN>uejFxzh{Fk{HitS~1Iq&NHA?In5lcE+b75Q)MH5rN0-C%}%R)#2Y;;g|A#e$r435Dl0CYXn zl>5^+!#Y*Ul-0O^e=u$?i%!$B=rndfSdT_n@9H4jn&Mhh1Lb#U!QNu2B&GnYx#cA= z#72Xyb-|#r28sf!09+pfC=&n+f(U)z%Dyszd|+7!!Z=N&I1cmgKtpeAn6Gh|-&r$) ztXMMwD`=RZ(SL?CO)fpb-g#*67{__^N9Z{YGZzjrpciv#WG3=x%0w9d$^!5uR#9k2 zyUN5m6w}bt;T6`HFXl!?MOjPFdY4{tE^W9iyEMC^PdT^``q{jSKS9c=f>v@l!V++I ztKzw!K&{E3qf=KyM?QI<>FVF0JlO$%WTyXNq*75(P!y$8PRJi9C)-N^3^zFef7JQm zt%zdx%fSYGStI7|Cvl*v!MEoPd<7mlKv_+flj6!o+6Ue?8*L5Z=H%aVd05M3d^LLIACXIYho!|x>{d8AK#9>&FjT@S z4vGMSBUmj~RkAkGg}OaAjO*sYqaWyi)rc&+{ibaVjg^vsHTzFAwGM(BmiLFMThi>mM%oMx zC-<}{j>V?27<9t@Ojeq^C{y(wd`DW0$Dh~ud@JmLj)}b)4-~dnjJOocsTVfNitZyw zS5)`0DUVk>J6w&r^lJULS>{(5sMS1TK?|W;)GXrx6)eYJs45)hpbd3H2`i2ExgERR zq3UTVI9yIw_&Pg@H9jHT`#n~v8W>>efClFSG~wzcJwHy!5gNhmTY<&0wru@CYlBGjU$c2jKCHT&?L;o1LO@& z%yCATD@huXXp_KkKGWuhmuObSjSU<=%t00N#1TQeQ>lmBTD>)isZ-1kViQH0fY*yr zF$R@PMH0J{x16K3V(`KKw2^YVDg8F|PSY+Lsm#H?Q6m~1IUOz0$L9nnzd3R`&epC? z74`o^E-)53%mN#}QMsi4kApE*FuJ~xIb;5rCfxsjVADFWoRpRRe`C`Ln346`XmZ}T z3#wM!08EqnBihm!o5)NU;%=NZq{b%hPrPtUmzu?-`vCOj8&!yQicKp=^dZqYAH&v( z`<$>8HTNYBc2@&fshrP5(;aeL)uFbo`wpZU_kgh1!L&*G!c(~l%f6=3!9d#Vc#F9f z3>Rjrov7tt1q>Ua)7~jdWc3BJa6y(`VJ)q0X6=I~7pqfwnPoa$Z)AeFP;Lwj_~*$_ z^{f5()o__qf>)4saI<(R03F`7X$MB$d> z1?ZJJ@Vs@z^=5{#phYo$=u{VO%~>Z>bC=f(AyMt&UxJ*;l-2CQ%d!ucj8jEanb8Vv zbk>PWazxIwN}B<*{PL0~NxQr~hBoDJ%di{Nv4L9d3D7u=lU$k?{B>T^4#s%*4{>o* zlbwfa%(@mJggc(#O?JzT+u+a_%8Z(ch9O+X62Wyai)ZgU2fs&wo`X~Nx*GVa`>$+y zJ+N3C*0SXd_NW0rPJ?dePdfB7i_Nb3N>T8es*`pSF)M}3g*`w3#(NKFd+8#}` zN7L+4n?0IkkLKB<`SxgmJz8jw7TKf4_GpPcT5gY4*rQeUXth0BV~^I`qYd_`0Ta9F zUwhQU9`&+Ez3ovSd(_t+^|MDU_Ndh!4YEh4+oPfOXtX_=Xpg3;Xn;)`8<0h3vFQm5 zo_xXubS|WG5uHWD1i2Ez<#eu~a}}Md>0E>7Own#(_X|Ig%ULcOv3&z|${!hMyZYBDTRUHWtNBgLiV)Nr#A@3&q@|WQ4QD{Ffm-h~GFr zd6SIe_qk7c$vA$S`ed+-<9C!x0&t8&r@>(PVI`i$sD}&;+8;)x#)qfGB*a_ydxwX` z#(IY*ShIbt*=cUp{qZSbG4aXXa2t~5fg>ZdaH=qIdo&;XZp|(=OID8}s8!a{`0R3P zb|u`Jo#}!#McYO@zEA@0?;6W+BLzo4+H}-M)!AUK!>HN-`?9#@4R`p^f_{f9;U=E# zpKgS_%>C2Vn6G{R)YbtOol)+;m0Wbcvjhj=i|(FAEq;lPBke_Z4_kRVIctgp{K)`H z$f}SDLdXlY!!EkdC{-FVm|ztXv}l5LkD$67n{Oj#)QvQ4sAe|Q;XRzl)WAJBGPw@+ zTLWrjK|BraJvK$a{Nb>JU8D9Szyim$0{+&6*f1G|_sdVV#yoRi%CCnB55JSITY`)= z2bT-=jV%{)f*wVSVDmW$^f;xC7J9^^+8mtxQ4xM%Uw02Ff|Y|^5nDOr1c{qqP~^}k z9Ew$yo%$6tfO1d;`;85-7=~MYSe_xmJ5F)qFOVDh4DR&FQ@E)SP;R;nFVG!P0+T8{ zg6!nJViUx20={DHYSu0Gb~PE|s$Icy(HlCM*{-1J1XR~X!1a&=v@j1#nxujyRS%Rk z6w=@+cZoLu(Uzo0e|A+6DEuVK{qE9*uC<-)yfp|eas31u_C@zurSh`BAbT^jL`j{t zQ&~8sQ+^(f`QdFlU6^IFOZhoU<&#v74L>q=Eazgo1{=-|GI#t~kM!Db(2^{EB8hB{ z4L_E4)PtYDnpc#lD{f_MfnxDfZ&Nm3upVtnI&+8o46MuvKPz_334aJerr{^Uj%oNK zA2JO;2X;(*hSI<{;<1A$ljs>(qn2p+(`FR60vDkHm}bMtQi=zel=4d52$L#NQn)(D z3$vi#ChXxa=h`L8RkSvGPfNG#`SS4njON3qP!tB(ocu~H-Hp~eqgx-Pus8IDI zT$ci(egwNV0p&Rsx9osjlBXV3jY#i2TVO4lnZC7c>QFQ&|Dtou?{enW5d|; zl0|r{UI7og0l^AH-ig(Q!{z94Xz~I13tAN)gR<97lsch9`avuwU@Pm8eLC4YWH*S* z4hea?zTxEps+gJF~6q)xIUE zYU;#plr#%x1*k7iOK9yX5K$#cq7p5pEL(tj=)veGPceF-CO_D9MMW^S`;P+YyiRg0(QBt zPK7#!i-osf0Q9s3)n^vM0v0QR!gdGEXT7U(2ohI~nTCBCp=>lZOD>eaGWUhCl zwwi2jdUt`8+4LsZuNG}ZjIy-@bQZ^x+AdOOqs841`7~18LP49wEzV3YHqvn3hF;%u zXh1O(8h;3<_G7c0A;s{*3%d3#VxSDtt`d~n0PGD-K3j@nO=IhIBNycrz!h})EZo>7 zff+cfIkXlVO4i~p65OC${7i#cr5|*_GKz(nXhAqR)M7)RT+9Ip2mV^|gD%o|lgB~7 z7Jq1mER+SqTcO$#_ybyG(|N?6PZc)i=-SQlB0%H~9P(>(;E%Mpe?b1@tyMJTR*-Xb z1uaqTn9>8`pX~{z;_A+>32U})jA(mxqa0F7Fa_s|LbyIl&JQAcH3->o0&!eQ>Few3 zhxGL|Y!%jn()uznI77_7UZm%WxNqE$W4;AdPp|Q@MOx;$P?~tqI+$c=TA}F!ro-iJi+cpuDa#!f^yk5DYWZ$^!O+Nk;9r((sCZafCG|2<`&*!h0^b^XPDrUa??$&RC4t>mJVVwNapf}V%-?KPF=6eS*oZYKT=sY zpYjMYiP=P$g@rM*94PZelh`tNk~jR{Wvn0r&x-LmGHzK3E9>0kt$Oo3y#;9RkI|OB zsC{^ql+}KXzUW?yBTi;|m9dDHCz(LNKJ!iPE21EV&lBxCYtOc}*Y*mC^V-IDokfkC zH2`NzD7+u#zPcyofz@AT@d5W4wfLW*i%j9A46!D{|J_vjL#RQ&p&Il$s&NA~R`*Hh z2Y9w4+7KpV-TzCnwee(Y?eo~Au*_!mPpdX2vZo7!npA+lh2x+Af80mrCKQm}rlA%O z;Rd{8kU~^2D2dqDV^@0B;_sw6=)S00oX|~$R=T}~Zrqz8-BJK`zilUdWTL1Lb0NAx zB@4wqwV6l=zqF9cg~yp?(@8y@^*WheXT?ihV50_WRP07o$;TA+*+Ct|G6U*LcNQR&rC|Q;;-sDVH6R5AV@ zwl*_owDU0B0NX6}4roMZO9efqTUvsnZb@c(362f;lbW@qa%if~fw%Jxf@n3a6448= zCX)MbHL&LK#?=SiIzR&4y$exToH@BKe@!-`YHO|)J7+$%GV#W7-n+8dK$->8@_1T` zV;XK&LUDK-oqU6YM+-*@Unv3aSmtArHT%b!tJv}LM+q0?SUg~1OP+d8j&IfI4ryd=n>XO0Ds_-;yQ!p^B^EPz zfval3D`YYivdrk^9hDSSW^qY~``FUlFs*VTqwm5SE9qld%_P<819=H#P(-$f$@aS1BP_iNoAbnzz>ixOoAf1ZIHK>$sgIkYKgCFY@BN7)=<$?Rq>><9Ef&JTV4KF8uDG)o43 zLaeOa#BNWc*fdv)<9x8Es`~C|b{6@fPh%c2xiyzw|25dmMXGYS4X{#{=LM$vM-2cBgEI8{he6RT_~Si$vt5F@nLmDB z^s}IKIjV}<&U{8VS)dW={x|b1T8;DlpLO0bqT&28-q9phtV=T>jElt-FXUlJ_ama? zF$lsz9t45T2M788(ZSe@Z-w(fs?p;Bx(NvSlo9mHA;u2%AtO_~Y0@cQ{ zBOcRA&HgWNjiaBdNwuffp|7lkSc(L1mfA$1jF6P z9SyWbpQdhWC%Y7hmv2l za`cvlK=pAvs@Y=qyunAB;IFutpGY(LPu6n7oJVNC3LH?Wx$0oR*&gneuEG1})h0?7 z+#i!f_Xop>eb;atSRe2Wa}SI8^bT_-KFFN2q?fI=1a&$ZnFG*SV~!tID_zVqBcqt* z+|nE~({t7CMAx=sPW-X>{bFwBoZ-_fbG?zr*W80^2kpT%d)^Gz`JgjgdCs}(jiRE# z>~(inuCxu#bYeg+2CjGWJh$820Xqo)%IXa`@m7${oe^^vUFncm2U<*<7I(pz;#~QH z37HXZa|&_#CpRVi!woGsol=k!U{vmo{%4V0B-N-SX5TnovTilqXf0_f+k?yPGKDXE zu98H0(ooiRMG&A&lrNV_=G6Wj=w1~*^-B3f%bCf88+iP{tZ0@m)y|5WjVtagVB@J? zzXLC_dx)*Mc%lWqBTmdM*>%%#_9<}OF8XA2j8yMUgn$68#xo=OoKSt#4>-a zQ&Gz>E;(KsL5iyPaAzD0r>HT!UQ1CuQ0PmR_m2sBUGW6DG9Nf{9sZVd*8P zHrO{3P4gV%oPs0|p2FfI(p%HdH|eQ3GNXSDI=GTJt%Z(EAJ0M+eEhO5U?QU}lYsVCXi6QmTiAx=-8dcvnzQ{r)HTw!K&E~+rM6T6$3%NwrgV4m zblq=bD;^{*{dAm%hP`4$HQPLe!5vWRww+o^fX=B952-c-LIv3MjeyN2t~hM!y(p}; zMUAuuVx(48>%>F4h5*aSabS!0;7Apt@g>yIlEaI?0ePdE71gxa8k8#!p*B{pA&~4$ zz;PkG=F-nt*f1)o2lz`ufY18TY4_Ja#PCYKJ&44H!~q)#@#y?ti_RD$AV*3U%DRP! z9*S7Qeq&f$S2o&KM>VcJKMX8Rnl#o08Gynh`kPpCuaM|3Be5=JvWXR1(Hi{0Fi`Jr z1Qh6-h*Q80LoECZUJ%yy96Xe|-C)~oe^T2YLNk<*zOpQm$*?8%=7Wv44@2f$Q8>TR zN~;>_TB_3>m}cO-Rj~R;NNfmDf?Zr7U9^(^k6M?$gt6|Q)D$l9_zXoVOG^X8D{4L} z8xHDqFa4NVH}agpv+!SQpjDR&SXCVR!}=PHQi-2RtJ{}sVzpmv`GH5&LNDL}3LK_D z4QU`nDm^Fb#K+-f5*#a*viDRkYhkeKK_g4pB6S|vZ5YnJgW>FZ-eIl6gDan=r$o*e zDZg-}{QQyfi6iCXN6N>Il#dxH$4APoBjp7n<@x3e3A!-^#wEuw9;>tN&I;d>x_M@l z=x6R*hnYs^i@p4N*J}Jl=}o-qi2G;Ef`h%yKH7^y<4%Iv2ZguJQsTX%d-9w>%{-sE zqc@nKAe>tvOfE#B$t>!H+I`C zc*$x`K9Z*Z^Sc(3q%96fbQ7vTA(xqO0{TG6-$)UQATKE6f4nLdOjMo)d9lE zZ3Gk*l&8j(-df{j$vZO1EtDE7`OZq0=ucj;@ViK1MV1*<7S%5rFu=8;`D}Gq(SS(} zE8^nT)(D*voeh+7VRF2KgvL!JkCu^Bp*c=v+?F|k5~MPAN9@j}&a1-^zu!W!aHdNO zP@2+UG`GG$v8GpSsH&ws&y_(%7-&a_8+c%Nn0krd=qrE0;l|v%poe6b9dA8Ra_n7% zEu81BYY`JS0)>%#2=51Yr-vI>)}^h}yVISDb!d_8*}}7ThY-P5p+l;jDis2;8|Y=u zT~?ZMil3Fd!`kCLNTkh%-IYGV_I?L;tF#^Iw%?XUYq)O>Ylj)1hY2XQQc1}hKstRp z`Y!iE5SUeYAxJ9JrHn-YT*LjG#Z^#kLb}1H9X09;g$q_M2Ei;^dEET@HcL~7ph0;Y zUfA3K)oJj~Nh#*b0W^%rudm;j2tQ5z7>+)UMbhv6T07WN{MILAZ~CaxyW<}?K6 z*kl55g(hQcl`;?dAQ>~+y1i@S+T9pVpCktFqn(eYd6Qzyr5P0Hb~L29N2ag0IaW&i znl$s%YMS(2$*HMHFEJf5@_r0nYq!>4wY954T0xJ{q1m~oVQK<`X=QTU23U2AQ=Os0^44zIK{Kx@OBOqWs!ec z5HuT&gYkLzVPJ%YRn{F}hg&HseknX>dfn~`BmL3YDgR~)GkVZOVz=Mb*ah3B{%~>t7XZBJE<}toq+TTZ9LLR zJZx>eX|dHr?C{ermcFbp4MZP3g5d~-P17mFatdDb@`q{OmhYK#)=_uN z{;?drnU}e1!!;*KY8OJ|sX7g!NNr<49hI45qN8?W&r}YFvkl6jSc^m_1T9&ti%M>G{5HeaN}7pA4WM>y&+xz0fwxGjYgmwU5`1PB4WcAQKxfv-n{$e(f+&stE* zJJQK>Dl2|@sQpUA4}v+v&2yY%tBpIEg>fRzlVmX2OX`=Vjn~rPfgt?%N7ti}RH-|- ziWEDxy`yv{;HuGEBB?j^dEe6StB-3--69QZxI}yK@T4weFUS5;2IAV=97fk3sQ&T> z;-|N|sQhmjh=mL5xxs6{U(M;hTym__Et=fV?dNTB_jA-vVL$(@5L@$6C-Kij5#tK!zsGE03VvWe5=nEEF` z85m98J^qAmbrTp0#efOp{f z5>^w}>GrYX302w(um3az_a0rVX8}DttMH%Z*J%(+%g+#ndQK+{xT4%qPY~b+iBD4+ z!S-<2?5vO5#z9F~iwHU(q1< zpV6o=qkF?OFo8NLS8L9a8nvmlL~Xp!6}A5bt6BQ7ZX%nJQ+I>?tCZ(|tD3`fn&eoA zX-kESZv<@F1n?~;UeAqYQ3ptVZ64SYff7THA(J3;3|7e%>6(>y$G*BNbM6(Tr!Wtz zKnN$}`gF?Ku4`(;*_?Lj5;?fQy`bA225{xj%VQX-IfG6){>wLbfE0wSE z&gEhs%iT*r-n7hjV&~->;`o=q@ztTR4E%R|a45MOXGIyVg)1c(E*EuSirh2dz3qdq z@=PXqfrNH-I=Cr(6tHBR7MUL4KsJuO?z3CM|IIoK!`0hK+DL@d-cxYZWd_3y_o{Jp zSWe>p@^*7{ST@GKWSWAn32E3@NkF+WGt2sr(jkpZib!yV5j-@&)2DJ;v-bt|g?0=@ zWRF8~vpq9BNZyf66CJ4}*D__=4B^k^1Nd_{mtOIEkL;dj?$R>=82{zdjXQvfv_6U= zazYnT3Ou2x^7QY_dP+rDg3s#Mm=`W>l{4RYp1a*@8J4jHcq(n{srYWq1o-AK!0)IO z%oez_aZ$NcdM4l*^O77{%ahDGj)OyMP5iLalLHtM#kL%cqNM5&3yiE4A4{GG)-GiF z2-8{mryxM7U`}EoQI@LL9&KRDnF9;+UX;RGHYq5w7u(3toHoSZdEgz$#Z@Wqyn2Ilm|fJQyy|W((aA4x=I*s~VVL zTD}9*atc>$)7Mq|Mam)Z5>t20xop^78?6Zqw2ez`;zv4nlpX@ix^=iUPy?{0F2fTpKQU%hnOA0|j8P^TbhQ$4sNWU0 zRxs&vrYkb*LpD@&$#=FSx@dV^ilDGkvhTB`XSGKPDiJ%vVk!twl(h1gGI zTXGei0EU+7rXZgO+QmU|W2&1*hOP)NQy@7^nSpLCLmGsTXb!i>NTMQ1#Cko`yoAJW z4IgywNwXJxPj}hzb{dx{_~|&`D$W_ zZ_Z_G=cU`)RRsB^Inh2W8t~9!$QA&yZUGM=gb&i|An^mPDZEm6rd@~OnNA8F;F&Vo zi(D{w9MkQ{f@7MC^zz$oIdx25XdKfViyOzZ3#%XUtrR+@<#hr`U0ma|lPuG!O;sIL zaWG{tb9~i2$-xaN5Uq!%Y}WBQpS#}cb%uYQ<+%5I{YrT8yw^uBKGTEmCm-O%K~N3E z#(%c;)hj9TxUC|+i{1G%^Ip4aVkqdch%YnPSET>*6snf~MeB==!hPJP^c#Q>y^c2g z&f&)LQhiUv>1nUIhUZ*q(I$)U#k0sl`CXc%Mh>mCv6Vq|53DQ7XRQyMm7H4tLwSYi zVZ-H@D_m)37VWS-dOy<6(VljiZ9DF1To4kzvm3oK(`9Eq=4)y0S0Qthu5clA1Hruccm$fUysJfcCHP$VlELH*Jy5U#{liox#%~q$z6@v*O!eb9E*gJuc!v2J;=BG{YJ3Ep+hAl7(>A6a)|gOKDEC~l~N z;=3C_kx|Hmx(`EnT_PIVodO87mMw(D0YYc2GC;V7-a}INo-S~wy(jV&2(Pb#Fy`)c zY3d++S{TBV8zSnMD`4qZ@8A*ka7y1Va_!=5?tE?(-N4|@&BUV2Ll4;d&DR_b-o2Pv zR}lJCK(M;d`y73d_?FXV2Db!LL9s2>h;0PrFNgQeo2ueHjF?uCQSZ&>H?o)fq$^_F zHG+58XS$6BURy<4E;$^kKmCCa?4M0SYd9o)vb!dlnXdiPTouRl7AqaJoU`h<8rSZ< zgMIronmfW!A%4PsNR5oi7atD(uL;ASakSyt?8jnICGx8=9!wxMz<34`;4)of2pBnf z5dudB7RUesr9@9BoEUWlq>eb_#DrrLjV|yT6RcM|OwM{OHO`^&q4$XGUN9kn>E6Md zVR%K^u5oQ&*3xdrxCR4nuHnBLg$Db!i;K9u1?xP21dU6)y@x6=D~WZGuQ8(@hcE}x z$dWc^)a3j^a`K2p80m$xDFfIy3F%?1a{zvG|B`GvpY7U{WuUy|#5tK+Cjif>SUAWe z_YU^$l`(s7=`*@Eg2lpx8enNU(@lFYt>1k|RQ`DeKa{{Vbj%nS(`xiRIl8JEuZ3#| z+JU78#oq!&^ko{lg87-&kob8F@1n)QkVLyF{&g*mq2XLi20aBjOo30i1v*@K&EDn# zZySVkikChh4&3(U z*rub|tmH3t@)w%~A=a+Kd@rhGXv*N3hxceGm0}fmW%8Rv7;2uDozFEYRnb|51(8Y4 zEW%%6iHU8_at47>DbeD6q3v>V+Pp9A-j@#VODA94sCalh8%;N;?IWj5NCEi1MMGMKGU`wF~nI~ zKEo#c-Xc>Lgnjr)NEJc(3|q>JrJ&3TyG(9pnE_#ZnBFQ`eoUP{*B}7f0r6lLBHkv+ zW~Vxt;=C;LzFff<^PNt8TyF%Xn3^0I;4}VXPHHl-TA#a$cn7Z~+l?Rft#?xxk|QGa zG8#ZMd`tQthkCl+1H+d>t)4-Uv`#f~b*%paG2c6!-4%rRVU)DJ=tSw)AeZw=7iacA zt*K4vm)LMRkS$oK$>P6ZU@%{S0SJkP_Bj+*I?znHtJH4L$2<%HgOkCw??A~3-LEnL=}EkMo9MPR7$C~ugg?tR;Y|%T(I!n`a?7uRZ2C3YQHeCM*FN=jiX#Vi zI0vQABir8@+HL78c462_e|P?O`R=D!$d4Gg4*~~-HWy7{nz_?{fW1+*K|qH z>+;{4E*mmxmzz_#MB&faRgh7r2|;=t4wAg4TUbMC5d!DY{ zhuN2Q>PPc>6IW4Wx;rPz&2U}<(uVVbWjp9_$7gsc_(fw^dzaUmxngk?>|x>LoXqp+ zPHTHy`j_Ei)@m3?d@D?{%n@WF!6OeWZ*8_4((BjnVmUzg0g6~1MLF6yck`eEX$O)n ziY&cU7+SlY*hcT%w|QBEwQOr{V6XXCR1&LhU@tRI#`0V^zf9;ic0H6|*~F@haIA7I z>gJhok~njp?B!>^2=s8tADVV3GmKsys+dfgU1wg`-^9Yax<6nxql44P3vd?5$ua>~ z7dZ+3n5!qD?BIQDII`{peQ4S6?7{npL}cAj`rx<{zrolr*f*fkJ0#LOV5RAM9KDC{ z!s^kXY?nn%or5Q!McGZvIdc=6viGLO2u_-6N_S>^Y$blTQ}lij#=*=cqGAxTUdp>s zLIJ|T-EfWK-L&BykXaCj3>m0YAh-@$X+CrAD$`|tVxdM2e(PQQcd<1Z7kjv8B-p+8 zz87*iEW6<#0FPf~)3z@(Ul+a=DZ@;M+ca(%p_F+ac$qad8E#S7tXY>ZOJYE1-K>a* z3;CQ3Y}#b;VMtIWxpA;>W285lO>Qi|F?$y&7DV!kmmE5Dk;+bLxNj;o+%>KcQ^V;I z({NX2*98joai}?<0$$MDy$8TOR?nkEnXUq;>3*%F;4E~^ITC7A>iTLb)uUFYx=QH; zOD3SkdW5T)g0ZV0z_4o zLtZLbSgCTd_S>u&r8rqQE4d#E@n5v3+^=vc5Nc1cUIFOom)9-EB{8dLcQ*oe6(;!D zEokmPHQTp8+f_hJ%WV1p31dX<1`&#bp>@=j62pA?Ui*~ zM?D^yB7t6x!j3SMUR1ZLk~p^U=RmwJraV7|M(UPJb<{1A=s*Yab&GX32+5Eue(V_# zE#1UliNjlQeoNER@i^T6aY@r6cY$j2^jb)t9;;L0?n7ut^60r^vYrKU??y`PP6&aU zdQYia3eG6by4^+n%ce03QO&<|FT54;48H$Id@bQUbz5^Kp>BJFbJ4X}E<57Jqsp%y zoIA4jdGawUs!bc9wD^fvJ^=_Z4`LR~8!7EXw2a#Ap;jt|KhZaRQpB6*u0X!QhAMWm z;&Hx;7os9Cg5etBIx`#RvVhLn16+HaX~Y{1%pBZo@$|}LC}uDZtKFYU%QS&Hjbe0% zfggquB~(r|zF0fuMldrtM}8OUZ(a6}6!S}WmD{S7B7tXXcY;jms9Quel`Q!9KUm)3 zyUOycrya+T*~33v{niUdhOP-Ddg!_Zmv9=T(JH5GOKlW6jClfFm!xG*v;t3Qjmk>pE}vAbn&^H5 zJ@~WPrxUrxJKQyf*~m7>woVoY;n|lW>|c-ATXTNl^)l(Ev7_OEXxIVdKe4mX0NPmT z8%0U*eh7dS=)@ZUR2MGAyJ1A;Y$Bn9!^c2NhYwEad)RO6Odl7TKhCH_+spBB;gJSPmDdi&{ zHBxTC1i`mh^SCxzdL^(>0&*znAWp+w+rZ;7505{Isc7j$Z^_08v!A1ih=n1{V;2Zv zLb`zn{D?uaiC^oj4I3Ra9#ly`-CNuHps9&%dMm(!7_KN?2Sh4GX{le7+Up`?9KTIZ zsK@HUZw-Ziwjci2>$-~;{wIR)?@3kSPs+eZ(rO@pLw&NOFY=M(vJjBj#CblH%g1ZL z%8romlxUtaCv%kFoH`Az1Kf>9JnI01GuZx+ODq|VeTxv*gEv%7ph;(D#)+5v5zT45 z<<0c0pgHz~ns`H5nTE|WCphnVSmst+b>5Yic^B`j>;-vCyCiQ6^RA3cabV~cZ$btX zBKpfM?!4uoHxXeKa4b z7b4UKOg?wuAXRddh3D!PP9+F^4qgRp$a2~do+4YG!#`|D*XjaF$l3lxy<&nqHk9!l zQIcKF^%JmyrSoL+RI3r86J~uUnMs$APNyM}bOO>X4I!bI5wI-iL1Z-%`KnA+8bRbE zW{TrO>})Vy!8to76%cR_t+U0T?sBY1Qq1A(=L`szI zm+4C_1VIzo$>1%P(ic%2ol1^^I&wGWhUYjWx&1@rkBQZJtdzo^)*B^RFYXQ{zcSGG z6`YmAU#^0S%3leX2&p(P{r1{Or-s*ICAt=>_`v10v9I=gC7Tu@H;bYvHe?J{e=f zXtqnbz(ec1Wty(5*gt*(ICM7FT+7<4;numf`tR>_ZT0PVR$Gn!)7Z9wRV{{RI`0}a zC%rwha!9_-J9a|k;cm>MbT$9uc*23^v1t0rx=gCe#_nrV*}hT3M$%xCYxC#42AyAm zcG!S-#sEgjhHfPz8Ro7M(A=v5=od24slyI_()qT#>y~tc{o9+V1FBppkQQG;)a%Mu z)`els{j2JhbXvQ@(^|K;wZ~*yRkv?&03Sk0ffu6CUmgxs=ub(qy@|hbuy3cH8-?3| zMe?0cYq?~6JEui-HSh^-IlBGq*V4z$Aq`Fn(ajl0lgGbyX3kBN&TSa&6HwAoL+d-V z1zQ}0z=XFrh0}K8!c-!Itfg)iw@yOnsP`ykR7+%eLe!4!-+G6B-ldCkNy=W_?F*6D!pUhGny9hCS zBT52Z=(zHVY^WHXAjv9*Vkx?|0c_@>;=LT}7dG7V_c58N*7See9@_MnBwG#G!$Z64 zxQzu3=r}XE$7;ZkPOe-Hh@V|e9-#qyGUuLMxs zMM|W)WvP;eWN4(-e}!gLBi8MiP-5LE$(C4^=E58^UkUoTl=|hXs^P7+;=FQ)PPkrD z|MLLBov^^YH#m!3IsECFz@N*;Y#L+%y^;Iiv)*afoE_~kld6R?>4CDG<lCHSUZ;pct5;0>gW+Z$(`t8nVkO!o| zd%80r!YJ`xXwK&7XMY(&HJL1;Qlxw_MaS!F=S(Mq>3NX?vYZPl{DRc=7>y^3Gq0c} zpBe0%iKLGnOcrs7p~y?6|5E1t$C*ek2Tp1BTr`_a&iGcr5?BS}wOgFO%cESFm{78L z2!ZHRXfrrCCo+z$PC4A@SZE{T?-vbO z-Z~d=48j0!jE5^FV9dkF!<`bs(@x$ZlF9pW5UpogDI-oe;JH*?0hC}Eo1BA! zC(I0*QJI@_ukhfyTMk#SiHkinbh)%I&1w6eI)j>l_yW_B{>v1LDs9Nop97h5J5b8s zNI@DYMA9vgiqaoIW8AYNEN$YoXo7XJiFq7pd-)6tg*{DLgTWlfQ_T9EtEZA7B|1$B z@Ek6P>T|C6wN4vDgJ0+!+|ByURCU<9m7tMA@8I&NzUW;Vf!Jap2HRwYl%Vk-R!f5= z#Ht_>7lx|f-G=U07!C+xI(JnnJMWYZ3Li|w%dLDC00{D_N1|}ZuDX1_f!@?G$J{Pc zSuO$Ig~_Zei^;*=7qbw>0|qbqa_`aKg_;9L@MIi5&m{Ll%yGd9R-@OOnEV@0{1l+*yX|w&>E3-0-u77vlTTxUy0j$I@@qK-Dv)n;i-ey= zz6A{m!|-XkIjhT?^(f^(e)t2Fa?B2_2v#nfdD~Zzr@q&;YvKULbRS#&bd$(HLwY$wDu z4MA)tM9xH$`^xKG$ouF3*sDVhy6)8>bO&Q6n5B1yPJO0Vhu)0NcXtjZ_cgI?;mN+( z9ldrKPn_)BR-j z%$;+@+juX&>kg1wUU!gt+V;8wFg{ovW6(kD!={ePiGzEX*IsvU8aIRW10aoaXjgl6 zz^-=OgFN<+;&vOXk61^!{_tVsSh}LblW@Cw&t@0v(igx4+uNXkfHz;RNtDkIkafEY z>p=CM0~S7J{)1xnC6zt*QNDuY=X;M=dr8jNHgnpEP?Bf6JBV7?6o{P8@GJLnPtsny zBmv##4beX&M0f8@crjSVcqIK24XPF%bcALhD7>3qKCceeaE3Z*@`G8K@D?6oGsQ9?UM_7yszSP{EV=AmjP9EobDVU*s8i|CVDUw;v zo_!FsD=o%*=-?^z!kQMA2Xk5E~|TF6;(?Fv&$V2sC5##x!kpQ=AF7qn5sCmt#H zNPkd#6jnZ!c^#A^Wc0QO0G>Kf^VJ)=dNR46NR;2C6AbsncOHa>b!(A4v0$= z@1k_p3{Mp&kb$NTfY^?JM`EMz?1 zkG|Mz?bm1yMu!gZcn?4`{T{EmA89C-O4@R7oS|mw=SSj&n$>D-*#eU&kw_2_LAKC%hgDp?LG|+7sLGJBI3;1SxJRUX{JW-9E?AS1ur4B zVYR(kT&=?>EzGvjwOl{P%*l+Wj?D^aq!T1Xl-T16R(S5*SM|;vgcfEwl9AAT&U;m& zBu=CAZURdUs_o#cqgn+xG)p;{RP*1_gF4j{RjL=l+<)Cpr6Y*tUld@#nne;Y3pPuG z2(@1;qhAvB23;BVJUVM&QY5imPft$VD3R1B zctEm)At#U5gJybb#Dw2$+;Ss(`Gu6vHnHodANH4pHz{LZlfZ@WXZ}}+F}Jb z&oj>k*NmtRQFdqwCVRUn-lH&w#A7DdY-ymG>tDs~$v;O9PPaD&~pUcj2EC%TFBC zS3F0CE^Iu~iXf_%371*E%JdgJKWOJsm?!Yr%n(oj`&XQeHIoFUJm^!sJodqy@-}p) zu=wEm5g8aO$mZ;0fn45AJ+xLaiKK{oCy^i>Cy_#;H&OgUNOy+RnR4bzFTpz|oA`@4 zKQ`7(*N3}FId0dXyAe%yCnY8wHz7{nWhI!r(rM-lckXtey3su>`%R@XCftdQdP4Ke zfKQGPUvR7lvH3W*thrOW5csV7G&>uC4`aMc$=(usrx-%Y$!~t*m>fZ;CeXiv{Mtq7;{D05&r3}v^Pp3N#$X%k zk-T!iMwYM9yrbDl$X!336^$vjeE?U0CsJDksI&*J(IL)UdU+JB7R zuYUl=CX-v)lX4S238BaHr`+#J@Doci6~~Rq2GAOuYw5iae`2?BKb<#0&&QwGZI8-Z z^V(KkZrOvE(odLDJc8F!ZsVz1pvKLhHjuG}qy#53d0Sm~0*rv_e2{5~b^iLQTW4^!DqgAI;tH5d68hGxY2_EA3N6~V= zm7Sa}pWA4CL(>o#z^gg^I>MetFZ6i#@p$c;#-Hft-pN5+k9Vg=%RKijH`!bNPBQd> z7iQwoBr|sjsZ67WiqDrbEnv;yidoVxqu2eXYoWwbV5F}O^|N2)lL6^O` zRfg`Xyi-}HrXH+7KsNoH{hY=zgzX#8#8D9sTQlABaMt|meA9S`bL<_YeUWT;${QGf zuf($mrblqAx?Av!JvKy0JP}V=5!jO%xkK#)LhJ3R*rb08Y+50crmIyzw-J~EzR*Iv z!L>q=D8|sBMwX~L@CtBXqkJuMVRKd)OKUfPoWAK46-8D{5j#aiexp;=H@BlJ?Iy;y zVluOS$Y7<@&sp>^Y@TWM2(k2tCG>Ha=56po#!!_`Cs>7FYjEx2dUA@oNmZRj{)BS~ zYTS7mbDk>JL7tYu)f`ix#Hc?iMEe=?01>T{Snh&`Ln(KM7R#L?OcTQX*(`agqCmY) zw22`>n!fSg>s43Sk3(FBr{2}3p{1;tb-(c99}GOV@87An?^mF_J?BrY?1F&l&C{uJ z!sIPQdN7YWZQx8huJWg2$d9gnyZZ7|<)bV)r=*OWco~y^jb$;k#Wvq%EF9?4i6Tf1 zGi=}&9g;Djg;>Mg{hTNY2}mDmfbWy7Ma5ImpDw??c41@h&@o$qabIVl&2Vxc52={m zkfl&;17uM>@-xmCYF@|&f$dygH(ZVF z*46m93mC4(c86Vl>2h6-YXsJ~xEkY*tI=ap>1vFNtFg`FYHYKv#u5~pOl~7mbzF^k z_0cj?gb5H1(6;oh7MJ6v0PVUQbSfCUL0pbcJ==}J@7bo~{Un45x$XQhvZUj^ywU2&cn>qBQcuSv=-h%-LCgfv4a-5&Nhna0S>-l#LJ{^kf;(DIA36jJ>4n;h zh&jR$#7Mvs`K&~_?`UuHujYY`G!8&n=5R^Ig#+R89mZ;35SR+b&HATz5fky!xQ5<@ z-j|QVmq8%GX0hrVv>jaf@a&~y*#mys1pKsd)S0Hmc9u9`w*i++9E4l?y`afqvU@c* zx4D#gq^?-V5yf%n2gZ&AD2DFHVwSHQ2KNrYFY*(D_?ivvHX2|G7EbUDof4Ar+&se? zQ7s^ys50vSfiglVkpdvI3MAJ6kfrs2ObC#mhBq7l^}K4_d6`QZUB@B`b(^zjbf|w` zCCl^(Iv4rOhh4xmtn+nYT4$Emi^47LWC*uDrCb1w$*ltpw+t6%d5DqLPVB~ZvcsSi{qo7X0Mx3;mY3ePMw%`$Au*U0*nYw&Asdk`fe3 zUk?$r5boRbd6_Q#L~FHP4j)c0?>{1>my9!w8Q*?`ZV$f7Fi(^A>5LAUas5&Qp4u{U zfdWtMnQr!sUV&UJNVHXU2$I@oScVQ&^ug#WF=&iU(XbB0YzM+V}phabHh|P)D(ilF_srHN{8?w;qn5L)9I?}W0-P%6?8yQOuf9iGbN*BKzC$w ztE%o$4@7&y^}x?G>H#S?RgH4|7+aY9RHAxH7^*xa8>Rq`0~GRom_HLS#R&U|IVk?Z z|AEA;M0FbDa)r%2d}8XZEg4*_He|>ql-hB3$RK+#Ls*n(4~|jU=ykt80wZuF72V#3 zp%|Xr3=Ky%+GEqlkJt2ln*M5=zT>%?z7y#q9>+EteXcEHL1vzMnjo8Px&`@uO@9Q_ zVL`!yT#j@vNV89$vL}GCZ8e#kqwj!Isr->{72iyMG8_H40hdKo-z>jsMh#3CO)!b4 zT6t*$j?3ITHyjCR&Lp4I+KXYX2K%0j^d1eT3Y+w2?v8csMoEBx{xE(&fqKUom}brDNzm_s7FW z^H={}iRNF!zrj9EBWQMnp@}Z>D(`O|_+9L>t~p%t>wf?Q>C=|L9$x#~rB-HD5M`_L zZ!&nf+H(@5$0O$s+fQ-eD#)v!2v9-9LrwP+Ggj69>^ch#+2EUS6VOJb`Y*kjlSrrwX7)Ebj@7s;IV&ub=oDu({C)k>9qZk5B zn{V{%cW{j$`d?*3ny#WO&2UVeEVc!kB{3<6+2}o5f#PRJ!ACG?`H)m@YQOqy1HOK} zyP}HiS2p?vw}#WiWCiKm@+X9p|BtZ2-wfpCM=GV^S7EB2Nl$~!wX}WAfEuPgPG_-Q z3gVpr&tqK){|h5KP?+0ler z3efN3p-1%d`vCfI$x@>TYTKK;267@e%E1D9AOn2QEdE?RgFjan@#i|6xlHpgzyUOJ z^#MHm7!Q}TeQ9>ac1k`>Xfb*W4{5>ZF<|rt2P3$%#0Zr-evW@X!oTm}pTr6<7=Aud zOF^>Hr;Cn!QyYzMIQ?iqVo5R1b6}qrQE#L7Ydx9C$e;lGWm+~i?Bt;P(~UtEo5|@M zgl2-9%vFYo0%(wvNtJ!zz|mt69qvPLGN3RlUVPrD@kb6)ruGw^f*C?`AUAd$;+$#8 zm@;7#>>z_U&>UnqBk&C}?*%ZwzE*NIluyD-;nNR+@jw4cNK4D^;ftZp`Bi07v=G+I zwjl5x0=%~ezZ!)ekpnN8y2(P3;lW|WNnji&u9bz&L{lf5w)bW^%Uxf|efRf?z zeDncRtLq?bjZUXFg$WH=pi{8F*D9(iw$4whv|{SKBdpGKzYdVq4n5k=lCU}-4UWy7 z^mpymSd5ZbQNz4E`se|n#zovr$m(cm20i!7JAFanvF&H0U(o8_q3Cp%jxx>rbnFt0wGHan1wqv| zG7zp~AOBgnj{PnO#Xl?qm>E1_32O|FGLnjs{3%3uiEWHV*Eb*!hK9g`O|~wx!Qc7;9;9OQvVjJ3h2UwmgPWdmUGsGnM0J^Y@wRVRu zdwt_89k5=X|C)-)k=w`9-5QR8cte;IX=rljCzTxkV+{lGP)PZ+f>dct2{#&0J|#RI z($=67?kNW(tELhjr>&`N_6&624ib~dgE&F29<2M`e<`iJQ}>5{-!Q(5gZM%dX3!GW zZSj?3T|UMhCPMF+WBLDpg=FrIjLPj%&K%wki;=QhoxSg!OwMw#xr~!lyqseL^YY+e z6BZD77GKll(lWP7B>gfvmpFeviyObQXC;g4vEUGW>|vF5F~}I7f!Snnk@W6hc|I;a z@V7!M@iYQ!9rXK%GO%I(r+_@F@U~(IqtN7_Y0@q&ei*HVfYh<_tqxePDvZ@I zW+%Hf990-O5NyI#orC);RiO}yx?;2^qbvfbsh?pVdtIQB&x+c>R zknwB-*Gvp_o@uOa4&yLFNqJ`hva-YkI}6C`EZ{(J7I0Nq-(mP=ki(xYXNtxL8K7h) z%1Pt4AFDLUB7mJ2nHkyH!9I5zjf2;R=~0)Q=>UwY6hMEhT<`qgh=9FM!qdyB!3$8% zU63iz5lY5)SNU*n1nHN_^vl#q)T=Y$sbfwr%Vn`7PA|*Ce}$0HM3G?F@qzIWJ7A57 z!5D;@Qo`gNlX5)HMljNnjec+x-s$YRCgx~ZDU#fuI`@cUcxEH9jpIu9IXvEtM;qGj zTCr9hQt+!OYKQzG{}=!dQ+lyO!8*Jz6jsM?yG+!->GgL&QeO2#mA1ZVyTO{{vvLV_LAl z@6*&w>d0%7rNi4?Q(v9iC^g>YBJ{m|N{#c_{i6 zm!bw|TJWXO*-J@+myjHTd*T6O;jAH8V=)dwKw>J4#Th}vYUqdgB1t%#>EaSlm$S~~ zEcnb~Ebb@y(mxRL@m^Wh&MST7I}mh4)loPX=?f~j5@@1=Zlxa!wh&dvJgX)0B^**xc}QAI)b(t|FkJoahIt7E=Z9p z{G$hEwJ@e#6R<*{6)t+=WD|b3;TMb3$*~$e`_+FMVTL*8)rV}?lv%)}#2iX*JCq(j zl*TI7WO4mZM0DB%og7n1spw>Du#>K&WV&W?U}Oddr?^y@zA_J=0Hn;2N|jq*wK*sM(`Nvqy|(58<~1 z=>z!f#OYstq!W)z@wgg~0nwRE?!zFCQG8l|8<8(1GY3h;1C=)jF4 z%qWi7@`P>w+uzglZ??X0q|H z7H%S!fYdhJr(?fEK`KdbqML%E*aMu<&H*q20NF^>)NuFHreGy7l$m1n8M#DF!tRdU zxm?`Mf>5Y{s`Bwz6e^s#d&5;O!BIMsJcxtTWI*{GJpt@e8=M7bTOEM=o*Py~ImYAK z$UO^3%>M&N-Y?2_ZG%|)MRFMZQ)j4f>7g$YDMvbKuQu?U|KOg^AiboEktX;n0ofXo zsA1D0bQ*6|?ys$DDLwrZ&Zf!9dn0QbF1l#AYacKggOWf&dU8;bd}K`BcG+habK=RU{Wy+N7sqN zU}7FP_F&FPQISk~63N1(Ywc2l6|yNXNjVVAiAxS^1#{Y~)@gHcoMnqA`{DX0eOQ!s zJ3x8s)|Hq7s%H_0Vm9^8?;=72uMtK-CL}+YefFtSB98}6{07HDum|iT4&3=yS1?0? zO3abHJksbkgBr+~rRvQ^`j6*)(VLyK*+GEFfGs+xw#cl?JQ>@JXwnsDy(p&mj2{>^ z21Y>+x<)V-48hAAm`w6=KkOD~XZYEnKVq9FlRNb-r$1BrW9 z#)P7loY5bdbsG7gUBT%oZ-3j-UnF$%-g;t>;cWFN>xUV7V$oSc|z$}X-a||Ix1jExHp^J z`#6X`KG?T6@`2{^Fn?nk$$#{2udj7KO=H89zhD_lyV%gjLUR37-*HxQV*OiryVcuA z#Y}Lj)_uqc=~A`(6Xj0<`7qY)HLN3Ja$rnO7z0O5 zNEMKcJydb8!M8#k#HW3tKZnt&n&@Nb-)H!?&+u&@`1Uw3J7AwmT7sPwa;0pBh|I3pgSl&Z)DTP3%=zCwsZAbMs8cQ;icglY~# zm1NVNQStK7xcphk{TogUA+LcTv~_LflTV6j%24N<%(Y>##2}d-!C*Or!E)dtoeW)+ z8K!^h%x<=W74FDc(6`V5)C`0a(_n%LQRH+_I>fQ9a#XUmVm8dWX{LbEd z%kL$|HXo1KbFe{+Wo*-9Q6o4AZ{I{VQa@pHF+%v!_pr(D^;)XuWIWuHK1sb;zrFPq z5*hHDSEbFS99#&Pd4HaAs42OxG&GMr@%uC$v?>R6%?y#AgEgcFA;l4K*2hLcMxbur>usbID_WU6%q3E?Cj9 z%S?6E{FNQCi)~`yi6C1Ac1viB5QLrVp);bOtQk@KO%R41QT#ckSFk0Oy%NNFcG6u% z#}hOkQrQ`7&@UZMV6y@gv0YA|TBquQk@EbJN^OZiTS{lDx3gCj2DD*t5Y?GjO`Z7$ zDk`rU*BMgMuM$IQ4~huRSoE2;J8KAMj+>gXjeSzYuP30jN5W#miSRNWDa$=$P2{*% zO%o5+vEx`3nURZN2QgWb2*p7k-Wm%>6OHy^cCkOwdwqp8_1CbC`fVoj5CrIrb{fw#2XWTG^{a(hTcDzz^8hhnwBHc!$r4#T~T> zqJxn}2T{z95$2@~532O<_!jhtNIav91SdMS#-7r9ANQT9Mnnd?8x0pLX96IYMPg^& z$oNPHsetyh3x*)l3ad!6)K}Ul^5*Y-&LE1}!NJIezX}p3&+HzA_4F?6OmSfcQXrR7 zmxNY9_oN-i455ygA!or5(m@{)^zb98E{PvWR2Fw2b|*ty0<28^8kd6MRE zFe=JQFZ>^BPe^T;7M-#C@{|U1x*||f4I(0IRn>7~%Q7e77cxRn(=}nPYyrWYTxawW zi7rWyNc_s5pF)Bo=91y)TO9ohW}pi)pfYZA{r@6PzUS5%mMyUa6+ISa{a8#LcNL-; zR659-bM%mLCKY|61;;rnL|2J@750$VZ6oO^l*{Z+z302%>v~5#wd;}gU5~WB=erSj z4X2{wlep*QX-99y6a^YqRUg~K4MnUnf^u?uCPyaLpTNKs@ev{n*KdC(3|D;NwX(?wX*eKVxF{j@F@ zSnUZMDz8hBX(0%)n=ReSQWO_K5a8re?GuxN;4%@MG?*QzPLiPt5p6D$vUt&09;C2^ z2h26~ra*32Qe{ z%)8&Zn?gzV>vpsbNU8eiOJGt!5rpuQZ$=-@$hjMz1uwXCyt=};T4ch=(WuEA!{JaI z^{ta{6f?x1Zi9Xc1UYmDPQfmID=@*U4wFbLoTC}%O{6`>!QT6(%IUk zM80Vqlr|ZUFW$PrJZrs`T{!QA6OwqtQNHE)hwla}hP&~6(v^7Dyp`Xx1%dH$VjVqO z3x1simnv916UfR3QE8Xbir9P}#sH*-V&yKL*T}K;Pa*+D<>p+jcq&W>Dv^52g`G;ia!2{a zEPN9RJH03`X43n7NlhbusT9RQ4G68s3ch`AKDan%Hv3DI7P3*rb0%fOfcpbQN)W~p z$d<`D4)SpHmW4+|vhx^QZurFF_f=opjwF6&9um)wa#MNTNdAnqdIhk#=_EeA6;J77eAVCg3RHi- zRv(!oZXO6Y`vk`5*SJsw5mOOXb0)TV8s1h7>QXOV>QXOfQ_*hHR?UAg8==#}>4h~i zKt95yXfaTqgzgX{#N!GnmuPVcuF-MRw<~!x^e400&8eaV(KvfJe`cA9;PLBo?Y~|q*>kVI@NP9 zXsKF-K_%t;0>oV*a(N|KvjU>+ZeV>m{FwxrG(76dWqckG5E!a9+6(hW63syHgl(U8Q(FC|~Wh7%6l4S^)wYz&H0 zhwB3re9S8FMVQ#;Q!uIVkw)V)=20eONHE(drQa$+3P8VGcYb#jfcBJeT4uRawU5o9 zKu1vHImX{G52HPXh$Ycgc#3WOr~{BL_u&o^7%bq1AKCj_{8@Vm!ln1lADo-ldwdxu z#rDf#Y$AjHOcuX+B0Py#R3sm0NAd|3$xqRfF>9Vvq#H!4?absERs8)gsI*T9-gPDa+Z<1cbhma^de+`aQ53QJ%3k%?|QzV#h#NYW{FL(=JajzBL+82T@^Let0Tl77^*2re3)BSrv8Ka$4V0tBmU$4k zy(m(Cp{ed96GjTix?i{T`l5p~S3rrjRVvXoNd6RHZF6W(l>#S>!w#9?M0zpApZks6 zFk%WRv&uZAuF$yRh`?x5mLWg-n?udOPGil(%awH?nfuZ=W;s|#!i@P2`)J_rQKGW}HmIxJ4okiVS`F%Q+qcB4ywFRq^J2eC9wA0rz z+UNmY1Ji2CJ+fhr&*EzE>7bM%X>YAZUlj1(6df^@37XkAp7Xa_)R zv!ZAdRJ18kw29c}9Z)nRBgv;~r^6=s7G%hJsv3ou($kg0IyB6e30dv8p3;1!K9IG< zttCuZpdN7w@k&(`-ZCH~lXEw`ltlgZQ_T@nAE)5*{i}GVG!rJK_lqJWPN$i(6FE{b zcIziKiMp~}u-5Nb;5FWQmjGC?3-!^KT`_okyK2}rLBuwwzoKRZ)J?c*rmul=5g%gZ zx0vdhOu#v$2-4*D4XKGGh=IQ??U7y%zrU)4#5bm+(8O6Qu@HoJz_ zltx%|j%ayZEK24;QuAJ5wG{b1$0QmTn-p(-1rVcILt@btu`Qo<7NzuiCsKhTm7HF~ zWfXlUxM@J=ABZ_$r^+X~38r8Qjhjz#Fb^wk`hBW3XUeOoD*)uvHev|$6Kv49WjRwo zK4qnOFsq@ocDW(rWZxf}Bjpw}5`6=n@ay?-jzS2Pspm=ImF$&F&cUydfB=!P@=-G_ z80ZA?5T&$BO!wGsq_tqd0H$8F4#&h{T1J5Q%&L6CQ~R zEk$VH7g(G?t+9%@*6q?)( ztC7|v8FM&At0m)Id0T}ohapMkk8}T8CI?HlS6#@Vz z0$BQ^o#GOZ+!ICrjX3)F9li5$5^SY>q$r~88gcZMOO82(Mo`K(RLGaM>hKg42mn0LxL1uTQ8Q@@mWOhaaZh?hjq9*>0C)(^bfqjgJRKF;T^4_lpUtJ zKkaM{$mJs|J9BIVO~zY~){cPyvNNIF0~M0v>PlWORw&;3>&L9bz`kp`2iMEa7VHl@GG=I;mWN zg!T$49`71Q6Y#5-_n1CuTbD?2wiWL}aaAk!w)G2= zBVVa>O)AS^Uq`Z7c7-|;)24bnx(`{Vp(z&KtM7ogf_+n;@M~HhGc4_7!Kr?a137-| zhx}FPk#cgd4F6Who(m3JFd=};-szn84`xr5tGIW5DW*i_VnS^Q@Dkw3LVh z5E;$(Y*DxB>!0GrGEY>G0%81Y7lO_AE&(Ox@w;_GgZ00yNrUT<{io321-ie0jUP1G z9NWapT@(h0@k$I}7#ZY?PubN=u{1J)0fk0tltLntvpF1XWN`#+=x=@EQKbe-KzI>$ zpE-y^(BJx#Ku(7iiAO(=3>NJ)35gEW;b5tHKV_0r0*c8w{NspOh1e?SVr%jx-dQ0E z1yvEL2gKq;OyRRLlF~^&0d`#e9Qz!>m*X83Tc@mRo@cXL=VpoZid`5NqT5k4_K{rq zWSe{JkC3Y^iiL^ZEAJRVK9bv*>up83=zj$EgGCmf0^HWq1TJg~2eUQjv8m$?7R+ZT=>FC- zw0t!JPZ8HjeoekzSW`i~wOQ}j5BBuwvK>%2?v zs$ggszntDSw8C2IeEEIVDiAyHgtE3$1~YFhnI&MP1`n&%H?kdUP>Y9}%~$=JonJ|@ z5Fa0^WSlC;Mhf=C$SLIWsm4Jl&k&(!L5L+*9AF?aUE9z+s>cTsI53A_9;Q%@BWocE z44CA8aFjDzU8m%_c@ahMFR|3D*z!4n=Q*b1Q{~ufH8*O?^9GaqamW@Y>kEA^vIlkT zj`J*_qU{!P0xrhsyVib(M}E^svQl}WR!h$tyiP#Kxqcj{61Zcj$ltbw50V0o2=TaKC4OaBgR~!N6WU8V zHXrTDG70kyZ<|sbKz?mfz^d+e7a8#=P0-7IqdOy z4zRoWDd(3~Dba#XL{FKaFw@65Em!WSQj#Lr`p2^BJWIMeEN~cn&H4v^bjY`+G6g^~ z@E;9e&cGj9is~?n;+#009{tiI&5;}C%d5`H??!?Y!LVAuunHyYLp&+jYjH-`kKwp9 z>l6s$Mh8SeLA=9&D4+-!IGQz%u{f9`c4t}FtRY;G8gVoD?OwA0 zb)p>rq-{S|60d|URxS^Srbk8q(`Pkq`k2pZn3JyfT$?m**ToDfTnNH(YwU`d4~csW z1PuX-QDmqY&PE0}vLt#5FuQ31pDx5x?`hS`n!^_DDrie~Q9uP3_0!IXK|pzR9T4Ww z`&7b!0+D>p#;c@*zsup*i-Lur3sJ*JjKeyfMt2{LO|y3>K*LL4ThXhFA~!@T6eihp z4$2r1${a5U!yJ$K*3S&dMh*Qc%Lwq6URJF=MPQ)rQ-Y!__F37ouYxW2{mQcC-|^IY zC2CS_Is$9WqSIGOAC+$CPj`oDhKn%EzhhpO`BJ~B#!!qMv~E!%frun1Ijy|Brd8M| z`UqYk+rL7K;YF6u5oSNrwU_mLWbhp2Ve7yfTL4qiN4xD%a5MJ$GRRz#5jFNY^6cL< zNOhu27&Rb4I@2?xHHKBGYiCgNVw>Kp&KN)#nQ`e)1xAM{4{QOl>*j&BEt+oj{uFb2 ze!yg@2zhG>PF4cV@Z>0=aPVutpp@!n7RePTR^#lormRokcJ5kTV~|<_ziE<5t1dUNOpME3fWHe z+XCM(Ts>=~<}#h^=MWn5-zQW#vu%uBX+b?Fncz+}O|sdAVE6V&B$tOAEgPC!v2 zAqnx;v(bn#HnJF8t#>Q5oIr^fT7`8FQfQ8Ol;4DwS{I|9DIP|&sN1|P76ujgE{arM zXLh6a@g~n)(}tsv!U#I$XQNFl>S8M+&Cfp+kcR8@S8X_&={$bBb<5L-%17V^s6_7a z=DhSHzMM$<92+K*i#{~kLx9HFgIyy^Wg{sx#Kw6Xt&EtgvrUQsPIS-q=XsMqjS!); z;CiI|CIv%dj*yO3m!iOO?2ciPD4V!8_SGpwWoJDu;+anoG~My^A-AQ4Z0T-v$Ty?l z8L^2>dIzdv5nYd?IBO77k{Vry6)EIVjwVvkE4X_pYvFr{ZRwxz2RYQOgm-a$UP_KY z!%OGlI*^ssEUd1}!=gkA4`?9HchJYsif$BFy|`Dls9B51=;kSdZ3|~{0T4z~sw??y z3XAJ|(43hBBb*B{97Gxb<-zSUlY3&D-=tv=FhvgD0Ryl^n{#37hM}hsLQ6VXUPl1v zAzUEWdN`{o!;7&QuqSiwikhXG^6Xc)RpvGArgu0b?6UyTNB@&5$IEdBaRj~q-X8$o z2A|Sm^`M9nq{KzZZ_sAZ!Yt0#WxCgETS4n3PAkMGV=3L?!9_BO@=~%wkLXS4y4JgI z*NeVcp5Z^Dw@upN^Ss`L&hwG!SMgaOa9#9;=$5XKw&AJwBxI6%3Gm3aN*{4Df~{dn zR9GgpxOwdzBhr6?L9D}zSSs6DwKt--dyqZh(c23kc%e0h7aBf^$lEqRwB6YzhLNyx4poP| z>_^~SE5GjrJP1oSew1Qn+rNl}qEV;BGVcqEIytMnFIRY9R(oI8xhO0K3jMbub0Rx1 zf-M(ZjOJ<0X`G8_SJ}nmKmw2Vf>kgm@_CZ4!D6A*)a1b5P;;5VQFk)2)bpHhp20fF z&vbWsM}K=A2H&E*DwWlH0yIG{&!M!tYgEuTW6wwlb5u~UB&41Q#4ca~pi z5^>~3qS(!*0x)|Qn-blg65R%AiYd2*16*IfA;9%GxIPCsbCl`hcK(SkV#W++;F&&j1U@N?( z^sb~CxSb+r`iis(l(=aUG;j5QEt}yffXd?}gM%^GB&1HaDLt==LA3E1AsLxKwn<-k z`X31Hdew&Kp%zFxKu4Ai-~5TI@l@6i2+)~C$S?+=bxTUGYnD7gVInw6L&e%^7qb{j z7i$8vCB?a_RuVn(d6VrB7#a+0T-gW+UXp-vC#@5eB9)}?NLt_|F#^nF@egZlkwhEc zA93CX1Z^b!z)ceTkhBL$9_f7xLf)rn-*9vwgEGSan$jhLU9ODaWpkDPs^p7qo#^7msM=jxS zB|ru4V-ZS`<3ope;9)h!62U#FZ?a+8u?$13^#_u#D@7xz?B)K*Otk;pe$7nb=uG}1 zgbW^%DV|k#sJt#H)tG~zr;zCZL|IE;2FY$ta}JavZZDIzWe1S1HpsEaw}W-#ZJ3>) z#+u{sw?zgAsrSbRm6(8&pN!y~AL6?Lek8qA;8P`Yb^;Jq|0}-wa4>w46WrT@lnJoE z2X<3qvKS-Rc&`PYH1L@~f93oynBloFCJts!T~>an0wvA9@Y-8N#BEnG(Yc?%Z`86g3pq4~G_W<1P=kw{G@RUB5 z?s@$mqvlk68X31o7D-39)bTR%K#`0nU8{>Ryt1|_5=3AKJ=`pQ|()SGVxVWZ= zTUl!v54T#OHMKYo%_cfh?Qjqmx2C+ecKVMm*J)j>}vE3=Y-rr-)gE>V?FvV2N#HXHSi(q z0#r~cKqx(wG6-zcx2p(s<7b<-+pw5AZe$aQV808zp>2Cn4a0B( zke3}UFI9n%XePm*3F3qNik$ZsplpDAXG~OyB zaQ7Uj%1fvfg-)(1jMv5|rxByAw*;x0G>(?}WO1aP-b7cY80 z?(Eo$Q0x-bS!%6rfh3$d%UZq~&-K)pWetSgfrHjYqX1>abqh=(lf@gbt~p9(m?BvI zOt(uJb4Xn7hH;LMJMI-_o6{$<9_fSMoY>nlcXO@O5A%q0kLH`%99HruwfA0n>c!t4 z%kzVL`PAc&q~K!g`hS>v7w|Z%YJGf?cG^%ICIJGGYru*r6o?3tTGRm<87`F^wNm6_ zxLQDA*CQVVDw;Y823@r~x?|v0^N3nby(?oGJlPg7nBBh%*d$!bJ>-@PFU6 z_Wo{}q=9pu|MTnfH1mCXuf6u#Yp=ET+G}6FvFdp0;rOOEKgq!0g~JKhd**+p-9fp6 z<#MWNdN)Nf8b~q0hGtF&{7GF`iid@pBM^M)tPA9R8SE?V3b|t&L7jvwu4|Jb6i4nK z-R*;oP#)Yb@v)`88MOUA5l4e@7aZVT5EOzLTrXxYtMUt!9A(#gEE%L;wyu#iU{ov* zsfjwHtoM45HpL;M3TF}MFxWGV;@K^8lv;KH@@Q+uXJRw3o|_+C#`6j>SwH&T1IC1f zB?*73ua~65h9XJM&Lr7!W)87r){A`+=SIkuo&zio9m}4Z*ih*>r$X#-;g#*CaJ+^{ z#pob|V}`}rXdzrI1ch4S?7t=AiUTCgo?D=A5`J?dCk$NLoR^LF>S1Uth1}}xl1s9f z3vTQEwViWNT^|=_=Euf5_Rtqz{7T-!(X}_otfy|lOkn9?ePneLJOfxm-$K(;@sIft z4)u|t@9>rFFo}V&PekD>9MsI$s{jEgj*RZ$78n@;0=w=GZeLd^7}W8K7x?xkJNhx| z&DOy(JHaRi(WCX25onw-9I>4=qEa!!RmJoMuT+eXhf5`iQt>@ZKS&xzoVnBQ#XED*z z{VvkMlI8^*T&k`sbZ7|L1lN^6&HZhAj>Mbp3c) z(o)E+?vY%NEDbnquWUb(&*U^|MtGx_k>vTCJ7o^wrguwv%2-7g!L&%%&DwSp?hzox zBbIqeV`@rlK*2w@Y9a^|n?4HSM&k=&g=;wEjm8hAv5pOt_864mSYF9op7me`<{<+R zGSe$PsxJeP3~!YLn0RgX;DO={U(KC$`F*u9farx!70YNwD3Of>_YTiU7h!>U!Ciz0 z@ozh|6u@TmS9ofQEE__E8s=|qftlIWbZ3ksY?2D{kg(1=J*uE$uB4gjI z)!1Nn7%U(a|FKx9flolyAjxort-+;I7+7>RO|IxjK%R}r^|&m(*reh)zF09XqmIbP|k%GDKU!;cfsG4uQ$7 z40zJ+gx3vHcj3NC`~!Ky7KOnoLW7iyM-J*D2~_8Yq=263?l0|RG57O9eYuG97+JNG zo>=wbwH^`Dd?Aiu&;}xF5`$g=EIM41tMGh zi~Q6If(=c8%&TP_230~)U#{yKutA0<9D9K9k%|_uo5`Y=-X%iL&JuvhI=Yw;7|}%r z_afJSTd@Fw0aDF2{t5jWa1^IbxCU4bLZ(!;zw%6}%0jW%p1qGyhYjhyTz|k@sdWOZ zQ>^z}g3;U*GeN!PPA?D;jiWUh-l;*o1xaEj_m+5ANw?ATGAA89E)`pq>{u1*WE@X= znKz5r$?(*=cY+dS`?Y3auZ=|YmSiyId#q2$!#ZU*{NSE+d%|iJ;^wn4nOSy+9>2hL(z*_q?@?=S;Xcqw)w3FrCi$-0AgY9&?P0gho|xB2oGSslh2Ig+v{oEU<# zqO#b)6&xF#B&~2jlWGM@jiB$4S>1WQNkVc<0&Zb{3Q?ETB6yt(NpL^RI>ZaV*1W-R zFoi>>8|L&6ox=bDSTF*FYXG?ug3d)RwF^BQ!ZWy~&&5xuUx=bqM_+W%uNLJXL>;gD zg-0FBLWyZp`fBh4H@RWlh^`|ivgUZR;5!CRxyRoVo+|ox^jiOLuOXIuPC)Ftq(|_u zIeBddmv16n--3BeFS-*+Ssh4Mp3Sx80aihY={M#bn$0@t()bu1BE|xXBNIOZj$KVh zkH+`kxMw7?`cc6mezSU_ECKngaZbt-&8VW`0p_(H3*rr@jR6GzTcY}_gE|f_<8#TQ zbcVNLhXOSIqI2Ac(;%t|KlF1BoM$i)u7}mbmmvi`Gy;G5OztS_#8XZ9E=`r~3%J4O zOJX<{cEbvg8{z8|jl{tP@8tr2SZq*FpbqL0&eH|V-q?bI)fEbdC=}je2JFQF9nFbJ zLiE)KNI@O02TO9FLCy=5SD89(;RxC<{nIC$WstX~`ZWQyM^De<$#C4?B8jqo){DlA z2ATS5Js)$;(!qoVRN zetuDa0339;;Q{U8{LQ!1U3B;rcr#oF(6tAOjUbKFW}CO#Xxt>n`A`lO`d%zJ%f_3; z+;X3RplZ?wU@4tw(=(GiF6kNMFuMRFgfI$WkX56-EnZ2>kYzW!19m-7lPQ1*K z*J(85;4~m~PCgV_y&7}!o}O`wn=K4^VeywTJqUQXwroBBPqt4{dL|t`!|veWtWFry zXdV{Vh=4%WhM_aRH>uGo^nzTbQ{;r!)B|1h-V^H8)q(*L2E+Fc_yiaOD8YKIjr}SwQve0o+*)g_jjLM#sbYB4R z|A?C(2C>4;8uQT7DBJ`mIqzUrOBD!GPTo6ZP6}7pB6=j0ozAU>EzSBXhp5RGHqF?< zbI!CZvAbKa-bgAY><-ChT|L?Z5^q;xDP|LMkOrg?0_hxfHbFn#8^DEOvo~Ph(=k)C zdjlY`6cdomZOWVqLwI}YcX7|uz`vF`A4sAE)>ife^uU>Y@zOBNzT}f%sWqH#jh}=m zOso&yp*&jS){mOuv$W7G$>?XYhZy0&Vr4FN6MBk5-=9u20xHG%xC~+8_IoPPDYc1F z02tqd*N*5ME>Eajq8UZ_k8dU`QP6kzY7N{v&|qmw*BuOu?8VK_hOX2XC2)(%xn7XM za+6TP&2yMwar+Ol_*TIz`Ffo03@-j!<}BJAjEqaaOhnG>_b^bRaG%C>2Gj+(rj;(h zP05a%LY+q-cL2KAn2y~fy=FrbfWw?pK6rb&@VIplXns=muvR2Xc{{nrRm+u zXlMC5*W{rh!y$T5f{DB~mbl?GWi&8^Z@=5^Sa%t(A6W@r_m6(mITCK?v9$uV`ZWpw zx1P=#i-gbeU^De{>(74YlG(l7t?%^8`!r44nvuYP&6K5)=XO(u-yjmC-wGs;jd;x8 z9J%>PWSIp^tTTn$u&Tv-g&=@VEn)OM7GBEa{8Bp9$w_wHj=Rur9A6m~fnR9rDIEj6 zR6KD?LB>4f%-_87Ae)Ts-921xb1LtKo2e8F5^9qo(9he-bBg^VSW*1eNaje)WJ=Cg zLMfex0>!`%r1LwFW~lF_!VrkC6z|CD3uwa}X%f6NEyExl#EC}+VX94xn1nnjWkMbamRlkUsUF_rM6C_1 z^?c?F-f0}oHiCFMk7KL#fP_1L8x~&JO~Z6AkY|_D%-5-l7osZUfN#8bf34MVxyXG` zGdKZsuXgrN01E)Y5YT`Ryz0{&%px(-z*l|SaNYsGh@w|$9e`V+-_)MgR+H@5G96!| z>ew1;C5l#xBLQYkq87=O3)Cy~Z`0P_#Q%-*5QE^b7Xv}23LoScl z=nQi}p6m<%ss=gCobRB8baEN!fo!zkN24KJe$koV$wZ2*2C~7kVv4Hmc_H}kWkKi| zRo8x(uDZ_hg}^enD1K$?IKw&5+Yd}t<$-Dt`H}UV&9c5z28~=^SNFB=NQ`!~+{j-R z%0!}2mnd={>omA=3%=}J;U0y$<1Hpx3;>TMfCcbcnPg%R@q$;^E4Yz%vS0w1;~*PL zQpc33p!)ecOgLF9&=R$xuLJ13R0}0~z^bdT&e%2WAtn)(Tkd-3|k+msIqkL_^a^}?%LZenb}jiZFHe{HaTfd%w&c3`|2q*)-d zUGFMy&#!(!$8_X!-s_%U^=$D*581=A{!bJBg$|PQy`(Kt0Sx4;G4U(&qWJzDPypFM zO>sIOVg;zZoPL}kdd%xhRdHx&^2l>Ed(>*SB>OOIsN2SU_O{P+w&0uw}Vf_~8T{r89020Tmln1=}K?OG|MHURWD&=ne^6WPI zdbtvgO5uz$H=IJH8aM*V7%azGF(H8;jN`1o#RRtpAiia{@5H_HHFH`4!%};nU3VKV zmgT2$!|s=e?o#0#rUWiQjeO8A5y4=DpZXTA)T}qjfqY%z_%$HV#UlGsb}1tAI;@9L=$XQ9q_f6tq_GkwMHSbUWH)m$}0p&V1!^C4Q0|@h3Eyk zDiTnpuz!px2O$b^NUujB%0d~*MqQ$WJ*?9X0Uimjd-j{<6awJx7~=u2UaR09g}`uR z$C$DTab39*st|qYMQc?d`n(EZr?*fDOmDX^;v?H}d@7NK9rSr@jNPlpCcZAY>oLhR z&;xA0;RiIZ-ngSElq;O^S?3mnVmmFb*itjtslD?Ib|<+IW03ElMMOPvip0CWbuTRf zsyMxKhXTK!2a)Gc2R{!|%qRGHbeTXt#LVXw84{6fmzC^&%*Mi-CUA#qkU*1FhW08) z?$NDure*zl;iwUvP0Q*foq8ghYwuhm;aiW#yAG#)%Jnh z*-&pcvxyyqFNm=ib`YlrgJUtLA_W+|Jd7Uuv*64>SX&;b$&)es#+QrFqbE{}Tg5do zMKoMZp&|y|dd^wYu4d;LDvRXDCo&}67MdV^5ELQxb3hSuaYv1JG8WGs*8(kS`ve?m$$BGpuf9F#Rt&l}*+*u25gfwmo&TzimGNN@YW^ zZNENw+|lsGu$cXTF7FE>tZf3o*w?}N8-l*-ucg%ZLG0gCEI*Gbhf%hXBd}*C4|O>- z{CzY?zpvYir^u>$txHEe#{PBG%PI~t0xKFFf%UtvfI^UATHDSH>#tf*tM!QL8>ps@ zDEpOKN^jFd)X`<4wJazAv@YwVzRF4VeYTRCkH!WF#TE~QwF(&F(sJyY4y^NCFmrKL z46&=!wBj$+dKj|Z(=#4f{C|q<>MD}mQ?}XsZZC%Kw&RhDDUHM@xf^0Ug9wTEBs>#d z4x}F@6M-(*e`K`!ZD!Y*R=`C z>z2WIx;qLM+cK5$%-$F~7EjqH{hL{>j-qM>SU^qYsO8Ii6YhpO^+=O9$1 z_i{DhsSOim@;BH|Mw@-T8ob%c8Y3ahqu;_cquUo_-A?G!;duSZ*{DySaZWG2Fq>Yq z-Xrw~K&Q$!-YV2_#xw)yz3J6S$MY!VAbOc(z{ketZ>Nbit@UdYooswHf`$;oc85$&l+{mTypT)8oG>CCT-{{1Y$3|?HQL1PUTZ)V#Y~(PfS$KlkY<8> z%>yzFr&>S`8AO~sRN}^ZK_-x2E(eMGXP)!9FHy9JJCfKU7+H7_wlSmfhO=^dYsHv) z{?~q#fol3G@LEXPb219JfoeI1@vm-mwF{*$00fvQb>0x8I6~#p;rq#z3gfVoN%c0| zMpdL28*NfAb}?5n~Yf_d}G{R%+=rQ%*d)P7!`TC;n(^!y=_0dPmkPi zm%dj1+)pqHfU*9tVFmW*Zcq;ulby%tHV`r?V6x?zTm+ zhaUVgLQ=kp+_QpbUN2JQa@CY7&0k-x(r17}s`2$7tSeT2S)bHFzs1%~4{Uq^(2N3m z`UsBoFTN~{mIdq4J-?Cya5~swdKdy2aB|;_Q_eB(!PCa~BB6v;GYoZ0b0TYL~MweTLG7#zO}h13zX>~1XFH|G@NpLgai8pZa6InRdp0tp~! z^8G<>@|TPoku|#k9@QR7b_|799^)k5<0M8_zaOaJxFed0^RU=mi>M_olwmgvbIiZv zT49__zXU7jj&fjf;{bC#R|$-w4jCM))T8vToN@A?WW$Zq!zk7Pb&~J#&Frjmj(%Wk z%N3IWu%7uK+TFwxxlT7=a?yJ!-0^DwQAq3h_rdx+XMSv;o$e+u8`sw5wC>O?#e@^w zngBRaDf+sbH_~2nR`jLU-+6~oO3n%N!G^dfEO&>fP;6k?Xox!8no|Nb)6< z)>Zn<1SHesk>q>+L6WDn(`B2OWM?m@$BVi4#TL55sSShwl-=9|_yPa?H=K4!Ca%Yn z>biyrn%uyjP&+m(Yj&6s*?6Yztd*6(Cvn|#KZf{8$_F1=b%F@GCW7?Hp_qeq4FMPb z6$_N7%$hu_$aIbVi$n>oQ|AJgNy*f`)#+4nmR2&NMDZuo9xnEYTz2s_a$o4^(<5Ei z3il-?o~~QoFwIi=+YiGB?b-&&JY0b5v{CpDrG1#*gK$D(gEX}bSIVtXwsc9a zDiwu!K$u=5qLh)0jl86pt*Jf?S-i*LHM<(+2utNb$jZqp8;DvU@V=$0JRp4H-N5gq zr8ZQ(N=f=<2tVV+TQj?w2$SxTx3H1*W^bBC@VcVjG`-2ZEACCx6I@*_-n2nn;R;`l{cyPDnP z6vMB7Ri&a1y`SsajivCfxC(#L^6D6R4nMM3o9P+YUGP;A9}<(Y}<)bE|O`1 z@l%2_)n^M0t^)iTTAq~3E0P;XQe|ZIWzct90!^STvrSlFn($eQo!d%$pv(c;%YYmP z5N#!!Z;nctu0&|k-(XLe4}4wD#$t;+eqdi2tCYUSbD~NQ{xHhW`4HsPfRf!37=e!e zXa(6UO=Qi5KOQ2qDr9sCB)AP*s7xg-OKdYT)z`QMQ7%-t0|gCl07M~7V^u*2$MrB1 zGii6hlPerTDRG%J8#pZ=_b?!{0ODcNk3q1hO2&RalYHk2yLy#L{NZrsI02Cx>1tb- zAkuZR4<~uaA~^3{Iczj>svKx)LTfnD{0O>W@dP-on2>Eg8H z1WAI!GDI_}b_iYjujLMU>7m|L)03QWx1a@@?mg(K4L(|j_^suN8$Xqe2NCtW-1cFwYj1W z?G$0i)l_AGy+-|O1Oc=^c}78Z5`m;AQEbFhtY&J( z-as+$conXYVPYKfh>1=1Seu{t7d|wJg098RMo-1waqV2elPj#yip$aV zlmR&vARd$5=ToibaSG~TdRIbC5`ScNR1vx1i&~sX=zre!T-%j(!I;*}v<6LUVbMfA zOgeW*VAH!*OwmM04OH&541uX;=fT^>J13MDfvG4SMZQ#o{4D;XobR10>(%q5yli9Z z8d3s`9Y{30I{8CCy*`m|@(ZZ84k zY)5Aea{yaf;6Q(clTr`(|6D=5F8Dv-V~N%fogJkVbzqcQFC|Sa`+m@&D4tFvKqU2G zo~ahoXi0KByO%EatHRTB#;d|?J64@2TYnrK^s2&Q!ILXo2C7k4IaSzK$t;{KQ$%`= z5J;SOl1u7Tt@tmN`g{Lc*0Ip714_XiD~`E{8pZUC&?JRmRRJ(4 zP7xNO0MP#&)xq3=MjIHmqPxq5FIt&`FMm1B*@nC?Ey|8!c^G#1th&mYEnK@7Zx}hP zi@+cvLqrHjdB<~Zr9pvb0G2m60I4+G0>2Y9lmV9knWHT<-m7gWdIv{a{H|fE9P#*+ndgz2P5@+>EzlYB1)TfZo{ai?@=M5QlE&ix>Z$p-bKJ@yETO`$ zh`wCCe`nxD1(|%nFi}(eZFrG9Znk1)zTITrxD&zX6Yfbf-m($S-(2b#D-q84MAfa7 zIFFZw;M6XcIGhq_8aqG@qWoom7`72X z0Vz{+5q1KdX1A<$5yY}`ULAgJ_Owvyv3UB3VNd1s9H{A8bSm`{w$`Y~a+(GyUDhoa zJ0X=V2V2gDV}yqbA#Q`!01l7MQ|FOn!(+wNY{Ok9FqiAM4NRw zjWtMoD#c+CH7?u?mlZ2NuzvHhB^+z8xvGzQN-p;)&dd5O1HLO{EyJWXo6ez_Zb)ZZNq0!JgD6DR=Jl??3?G7sB-^V{UNK|+!1WUDW6v|3->FCRfZZ7wc4(w z;Gak5zpBHcvCC5qMPa~dhTG8yWW^6C3O7vHac5g|TA8dpba= zjsP;LIvj(@H)mi$2scDqb8bcO$nU9Ws6YPl9&pjF@*?2r+ejC^w)7gAh$s)#XZwCF zmzI3fkrq@f3Fb|-_LiK&i3%0W%tsu<9YuHZ`pQ~4GNkw(|mE_ndaZmQ9%o<(^yWo z^XDnZU-t6}+BcQwlxgr0Hc~p+&Ld4gTcXFD;=zc~0iFsp&-z*ucbU}fnz+?zrqe2t&GDSl!0CwJd{P<&INA@#dWZ||4dJolBJ>2yeKM*z* z5@c0SSdpoIHFm>L#b1Z<`ocIP=3^i9(!XY>PZ7wqn|^rySA8`+?WDOHk= zHqICD$W5=6vF>y1(EhoJP0fp~+P%~EozT?0ZGz z{)YW2Mn=S&D_{f}*Nctdk)MXQf@{0$*S@MQA$hWNw7H5v! zc$P@GP8Y9_pr4I5$QEfJ3lnwR(3%B-)rY`4;+z-=csFJErGKL|Js4jAO3(xM)n42O z0e6X0LyH(a8f6{sja*k%!B#Sw8D67!>-~5&SlMi_a;PdizH?b;aBr*IS5G|oI`MSX z?X%%ef~+N^C9tjGPiHE~CjjE=cB$R;3g!(I=h0tKeZdI5(~H&MbE}jXN74ZsUq~ zqFR)ou%c(DJcXo5fSEA|qi5Ntwie*B3c<-=74QN!(WtSK$#y#=rGs3pF3c|1*CES| z<0t0Emrhe|EK^s|cD0uqv(8YE&jG~4jlI~i}~^|C^v70GiNHIMe}Z9 zI@4&vR}^G1T7%^_WAe#<+HShgpAtaVg}!(v!D$Mx-#txXfx`m@KISWs9baJoK!Kgy z0x%HWLnwjY@Mbt7Hk|Nqpw72NbX_91asWxohBu-ZHYiq3g5s$Filh&PT*7H1q{|qM zCIg6@b0oZ$GiO06djnN8_^apvCi-Wa;Kb+wwqN0??elJBo~vjfw61N%$xE}juZKwR z=Iy~_0@dC%)2Bcm^jWrd7tz4#{-3qNgt8+_({5SAoM=^lg z9_2l2Dz-LuvZprokpa_))pa|r?W90$D^c5cdxk@G zMg<>)LGzfR|4~+$G2(x3ioU7%dJSu%p2h}PdpWWUn5=1p*I-Pytfd$#O|sE|aNHV) zHDLX|n0#goW(jtRhRqcn3BjK%w#4m$i^FAk;+Um>O>E?!`42TqV_yGe(>kw_e|3?9 z{6RrlwCVEUA?ry5OlQ|axG3BmuvKB+;=Y#~ao#c^9PyI*x>u+`HKiX5j8$%JYs-HWSbV4f!wC`6xJ(9tMpkEjS9}47X0hqn7+6i zs=iQ4x`KLlg;ZiNRE@{*#+v~Q(Ex@eJ`50{APv6?V%Q^q;XogThVdBMgBbq)Sx3~M zDWSr1A#W=h$7A?N5W|B34Bz)*s2Pvp6X& z=W8j+g`|2nD*Wpt73N*kjk6%$Io7Zl2>wSMpk~(HbB}DT3h!F3`n#lnE5pyfEv?pq z16uI#as^X?g8!)nTck$rF+_tmy;!Ef7X}KpX~8%PCT63(h`3{eLPgu$62_1f{R#$+36Zy&FmQgy`D^;a#M3u5dTpIbWf!>~fq) zQ!G9FPJ~O?+bw=A`p&-edQCqARBn9UxbC62*n-&6a|`i$MKCWVfnR_lz;UU_PX1Iel5=?z*Xtf zJ|T-N&3_IQxXLY%?$P7&X8f&wL_l55JlO>WGnWULd4B-$zP^^kTLE6BjP=EZf)lBp z0GcOg>#fA=nQBYlwE_C>@q+Re07D_>8cPG9*Ser!Q<;g?X#p}?+ydwl|7~)dju@Gd zi{v~l)u6AglLuS6OQ4FEXwDr>i3Ix2H!HPOFvC-YM$^kz@n7P6xYBW>TZMB;U8L)2 zMQ9btt8G6r-pl^#{aMZMcBY2>%h!Kxp#E8I{Zz0eo@Pvj<_iHdzZr8l1wo|u>6P%~ z0?=y|+BVNSo*f+1@$6W2E-i?6*0PJ?z$O1=C~X_1zKw-FANE43+5>V9u2t_(c<*D`h887S4|Erl&#;akgWKX&+&0TH>r+idYI_)r8Q7K;+DtCs~uqvDz(@ma5cOpe7=;=6@Cmis>l@_51dy* z=NY(_geyUk-8F8{^nHVhc$1jLsRz8%(ZxKd@YVF1dX_wQGZxCfe8B}5aH0IsvDBlR z-q>&MP-@erXDTZ;rH1DYVc)%XNXOYnXWaVE$tr43hm7MPj1!roc~A|EZ|IXtse^dH3_{A13rg)FFfy)iAixZh^+;}YWc4p5o*(yrQuX2i^__$zFa`< z?^dV5)o24_u}1=}#$pe~Q`?t;Yq@eg+Q|GmC;xrSXNc3uH_uo+YXC!-j1@^ z32d751qYqN>{r0Rahuv4jh^I4Zt@e#q;IQFWtrsNM)*FdELWgE=V8)wJ|<0BQL(nQ z6dR8stL{K~*P@p232=$LN3O} z9;DdUX?J|^r1ymSJj1(&Vpdu&`a6|tjquMd%hEe4T>H9con&O{9zGs~WU3$Hk7v>B zWY7abl>52DZ;Su7-)vgMy8?FmU?Z5-7A~xP;osi70+KH_@IJO&>@8%2J-D$2H9i1g zkY{s$XRh!PjJ~9#&4n1b!igntpyRFcRyr36j{tWG*Q33aioJy#Y_hiqcSaNZDcfHT zmVWcE6P3=t^lx0s_?G92gXD`*kUa$SxOPlDWc_dn-t3K|nrFT%o7XqJkHB0>W1>rNp{GS$y~+OoRvY0#(uReQJqSr_1g4!~j$z;|7M=?XBmZW`T& zO!X=^tN5Hn-p{fI;9M7ANC65k<_+uiQ{rN7_FZmv)Mg*%X5XmUG8EYCIyd`bQ+qD4 z7AxcYhlUR468(sBxNi)W&~|GcBOq?xTK8=%C$S1z7C?^VqPrQed`?bS+BfKA_-^>Q z*viAhOR+o?zGo7eZ9=a}Sk44YJF);zBow#v-fiA<2|5t`=YeLxQjve&;DURv2`8C^ z#Z1V_r!RF# z*j^Y*2Vu4-OcdjxlJWzS07Iq;cbkML6LJYoM-Bh+#u+CqvKPJ1EMtWn(j}+Biauq~ zkYj~hw8oovnC2x0Jn(y&G+hXh&m4qjnzXEevyCmma@BN<=rf?ygm*{Dy zTaxX29L+-hXgn8fMOpLAC!1XFd9JG2*-4Lk(rY~F4W8%49+*Zx_xMbZSWZ%>a}KMp z_a5t*i#?uEtC@@Pf(nuZjxzdZ9=R*qJT~CTJkD_+rB*FAkEzB^7i*>6;hRS)@nQA1 zWCk~T7$(vQXHDP^f>!kf)d0x&QMf!$Di;x^}I z!_WsS)Xd;M?e-dll3Tj4xW#~}l&V6eQ_89cO7UtNgLeMr&R}Vi=>Rpv zJwS>&WiwkE4W?EC(J3H-R<=oCD+!#1j3FywQgfWi=r+FK?Cd&DZ~2ca$p3sn7U;$* zWAPf+Rt1vu!1TY$gvumZPoo(*Ft9 zc*T4^y@V(EkRCosjKDU(1|e|a*_dK*^lL5E+N3uCD@jNgNhdhuCJSL)Lw;2aQ*=lc ziKgde-XWkNh3A0H1p)(X$7mj)BRal=tEMR5sHIfD|Im7I#kBw$JnhxYyTp^1MS_fg zY}jtdSkb_zS$JyS9c7sxK28e=T6{u7sTT5_Y-9?%mym*PU|q2fpE~j6@;Hk(GIU7^(NG8euy8Y}psW%_dmtBSb|;AppJ}R!OLt1rESr>z-N{}n9sz~}9=gvFaoEuR|sqkr+}j0AOvDvM41mvBo}Zz(sCc z3q*W7lW$!=QnXT%mIcGAephCWeQMv+Vm4#7U~VaX#Y2#Df-`b`%#+-xICw`6Z|?#g zmtO~1tY$zbnek?>LnzI);^!E62~!Me!$@i`3!#B$_9!q82APL=qg~1{x7|FCq0Nvn zwCtE2g8z!(*jb##+57Of7a*{K$OUegEtp2i8!C@YP+HBO%&yR-8)V8FL3#H0_J)A@}umsvED zx{j_t0n!ORVFSc+OWb*+8pJhuiSzAXm+4pmgFrI~9pLpixVW4K&bsuhfaJK;Lgskp$JT@F>r8v>p>6yd0e;8#jkyF2_-VMp%=~qD0FUq zEPObNNi1cC@qtjc|?aUbj5M}D-; zz&5&%48EAuX7@4bKE~b07WZ+n``GF}@=Naq*;4m$x$_uHXl|_A{8CIoe2i9_zkTMn z-~0}kUur1xv*wqki0{MZcZ9#Wu6w{4Fh5kh2fi7YO)iV@N{+`EdgQljNPy%A>g8U@ z<~>CEdEm=+t+k9#JJ1cNg$QV4a3tlhO;;W5rod?m=JFi6h4++=)<~Fhme#>07`QZV zisByQYMU3vZi-6GE~B*5tr;@n!>Mb#Almb^tfHcBH{r`OB0PCK3M)c1csJ9X$&L+ zRnjM^W1+9YEnxD{u|rJr#$&Qg0;UFskR8+XmyvNaS>oZwVK-!uA#A(hXB09~#mjk} zq_P}za-{=mP~c$>G_aFhBj7fWWXx~4?MV6>yd0vYdZ|47u3tOyZ{vuqN^TILjjZ~* z%9POv%Z`bz6Z}m)BX$Uzx*vE3B@3y?F^{7ctOm^UN%{Ry0H!O1$xTY6E!8)f{=A33EwbIhGD^BXG5 zG4tt$f$nxARVs^v&W@2_D`etTBd3`gpp#t89(h{2z?_id?R71{go=YA=i@C5l z9Y_}q$FJQyN)YUSPd!lxJtoug;dr;w^x;#gR=1ny;5^je-~wZ1);Hg6XTDx=`4m?wm(0b&HXR@`qh%@DIrQ zVIOX4x*!*w-UPfeOwJNaP`6U4NoN)>sQ2QlSTE!-JbJkJzp-Avl*~)NP^7a9Ty!E{ z{uAZ$W@_GV%H>sQ-p|VA?WB3P**sSM4f8Ufm0Jeyhu0D0clSZ!2zRN#>31ClOPm7u zvQPD96aF&>Z?>2f+vef*xw#;(J(BSHBbL`j5-w;nodrG`Y49dd1ahIJS6*mXZF<}b zVtW0;OUL#4lUsw7czXRS4kg;_7cBMmdi;L&dea4M5MfwZ_Hwx{U$WG8dF;cUE??fH zFTO6X(C(RI0DXCtnpaaUZ<^-4RSxHL%`4bEcFn&I)5_W9zD|5tpiCbV@=*hs)dr4% z*N|!E{L19?AqU?#hsw8K$@H5|MUt-D!N?kx^ai+k@XcG6bRlY>B3_6~6=FD^>19?t z^>kqY)v#hD7dq^`v#;J7ogOM3YiqA;-^C>{7g}<~l_8lM2x-$~%4Dd>g+ADD!4=fj z%dEC`gYZ~ChK>ZUPyrrE7+`{40P0EL4jl_INC<93u?c-l;3+nnAUJp{piSr{1n&g0 z2~sWhx^9I5BkQZg3|@F?hW33Ru`hc3BTqcJCE*M_oHqc4 z^M#&4eKUhhR^Mb|hR+S;Vz<-HD_x9a6yqG`cE>?2Glv2BvWmfW$jz!|LR$bgBm)na zzq1lTuX%HhdNYOUFJa#cB}~3nDmB%(H6gv0-4A`2X;eR^ zQT?Iz-#T^ko1_a$g+3hUBb%sG8lexQkqp@ zvswa-=*q?VCsX`a(Q+` zIm9Tan+@u2>c3&SG>sVo(KrzVGX#RXVk5@kaF`fHZgnO=L)4ZxRcUmL{IOv&4LPw6 zZv8Wrd80B*l8^-CAUJ`DNMB?%*6TT}45COP0TIEoP)0E~twWx(QYmoV9ynTeFPzEC z5+5ha7N5sXAg|Wu5zbZ50FYz|rXgSgWc63)vWKKskX~yeg#yDVI$=%?z%bnea*B6h zP-W{O|C2;5^8nHB_~D42?&Lzy%DGkdP-c^ED+)%^YpS1X6akWXl>*fYkU%?P!NJTl z0vWYYW(b5M7EJ*NW)MP;r(LhLY%+$4C4b3vCBmjw;X&&3sEj}`L+Y%V2!a^`QEwrFbk`SOQ6&-qaX2!O2&sUa zf1rrr|BZkkFn(zG)j0^Z;>hfw;Ub>e&IY;K`R1a@gG&o}(PW(I><6nE-5#EZWHqag z>4Rx-yVt-tp<f_Uq(^Ij&WJe#OU^grKSqz?&J7SLaoEYzgN$vbFDlVXbG9r$!rR-)(NN_|% zW^J^lgj>2NDqvV+hfpoRh7m2ofQN=p`+)74Q}EPwE;4;RV=j?7kjFhtF+7O8diXAg z>!oiLwT1EYpMhcD7!NPHH@vLK>ZORC_?Cz9X(B`o_-P{C$m)$uk4a>jsWy1hHG&s> z7Y2X9Xy~*iB$fk#FCh_3xF(peDwxn6Ot>kS&=XAPH3_+{ZJ>z%KoRN9Mdx_la8SP% z+%_u+@52XT@U0|3;nPZNNZb1mo5O>R4oid6(ZvYI=aCGQ{K4We1Ua-36NAtLd@6Ln zYHI9Dz)~$u1{7{z6M8(n9+g67$R^@U^RgOYSgPk%P;Or02)6Mmx}#uAC0bUT!(lID zZ!16b0EhIahFN1*fm9_o@Q0sZGS~F+m7ic*fTWV>oB+yKndDAcDVDB#{yqoa0^0qq z$5Al3fq(HuCf;M6mLzZjN;ev2On=jN_FIh4guv$JhNMubbls1uzzJJ zJ-rg+N2cyhJY(<2C*H}Mrlv(u*8?$FU^ei!#9J z9`fG4B*^9p#&N0Psh*{tydE;x0VFRSz;uF)b6!(DZC+3cIre!Vlqpzq2_~Q?Awr^f z?HG3?CoOWpEg@=Ko(4>5FDH|2C)PfN0R9bi9_6bd{Y$1=zMzhS+&W4yR#e;}RA2fi7S!-OOTOnJLMgVG z#5%V4jt9U(+Twj2Tdbu*oiJ?{l`#w4A)(!gT4Ol<;WHY(+(#gin(Ojf><>y_cptX0 z3vL)o-*VZ0_p`&j%Vk(CYeLYH-s@!VdK8_q;k{G_Wp-dFAE zj`wf9-yQGq{c$m3a-#ZcL;`=7y>u$%5g)6?w_oWaw15VrR}52HX0`7cOx6V^gUgA3 znW@8c968eO>48$LZ)flAQav=U>TC7Taa{Q00hM`u57~- z7#flTd+9ZNg>Dd7jn*#cCCmZv4p#(!G2t|)r?{q$C44|jA$!FPuPA+7vZOAVm1=_B zVd2|JhjsEb+^=I6{ZoI0be;7}h+>K^mJpp8q?uNL6H-u(N0FBaH|{~}xK-FuNXz(T z;CsZZo6_2h+rV;>gVF&>Z8Na51?ecRVqpU!tKY_7!4@lW!G3NYafQ}12(Z~7R^as7#myV4K5WZ1`=F~bm_q6 z?7Wxo5Xx|02w<>!jh(js`*DUa&C(#s;@zDf3TE>frNcu__;|^1*FwUdFbVagGWM&1|Eb%68UjF4Hf<92>3^e^B>v08ITajQ4bf$Nll+v3b* z5)~pQHZK*sHQ8}%Mf;aX0M_j&xy-^mvKa(&4v8g3O^DirEFKo}Pq@8Kn@+GnBye$I zF>>&&aLfIn;+KFFm7oEs0CvFW2Fxq%Q~QPE332Kj^iUS93X-NNSuaeDP~ss!Dk($7 zZAu7Rj9~>rMOz#y#T690XktAgDdZnpJw82IsM5SD?l-z(*5I>1Q0!t;fehsr#BRN2 zz?4H6=~jc!DMy^>a)fmhNchb`gmOSS`5};+>b-U&husAmLa=v)DHesulSVirT|C+r z&ny~=nmJ(cl7p}m1Q{ml7lAg7TzY`?%Y>4V5eEjy}a;Q;=G>!g%^-hc(9 zk|u+SQ2lH>!mIe6qw{5hzMs1xSeWr+$w1UnLkX;n)?16?o1fi-Ho3MP?nVQw%~-1a zHMkqF1N@K0EH!PzuueF{J!|j@cIi!ICo145y*sePlVkfWn>k1>m#&mj67PG>F%iCa zpK!`7y^B}y>VK+Npi#m}N{ykDm!}tjK%QDH{0k;rS~k^Iynw;qZG{O=N-J8xKW{6R znN~nbU3z?D%D7e>;9T|lwKq#4Z!(uqTtQU5>6KNPDPf+_q7KMQ)Wrm7B>S! zGWJ?!*?KWtQX(W!CsUMhsTXU9%JNi``|t8CNMoC0|X( zMx>-#QI}$$?fngK^B|uINfd#x@Ok#Ch?bM{B(697`0UCMtblY?p+}S%MQt#G{UmDs zBTOKZ9V0uf+}$M|D>)$jKR|j33mzRKq0X7;QO=N1J=85%X#FwIb8iniym}O!HqRV$ zEPaGW64~GfQChl>?i*(Ff=DPhLdT{sAWI+QnZ5EwBmnsHL57(;;{_(z#>D0^=Uv4i zo)r}jhX~|iV|*^vQx)LtY8P{A+|a&fGB$>a{OKtEI9hCvXmU0<9wf5r?lS2|w|348 z!XCY1<+!So`KKcrhfA25`>RGGn~kegDS8z{q*71@(gdYHO;Bcu(w`pLn4Q15ZKm*p zj2)}6%oSds7KRB{A%e08cq;dTpZS|tBm2I&D4zN&G`dAJI@O*{Em|K>EgS%40|+1( z-7f9N{`dB*++3oe)nsftn7e&JZ2dJ)8hDf*+PDCmqxf7aA`7Q4*)fXAqC`dL1JXvM zz?o#nSg1|Ma6n&qm)MFtlJlW9y7gmN4!LwE%C|_+E*!dHcE~#oAkH6-M~>gDX|&`E zX%7dC-|?v*0^A4sX$r>x7@`4^QT>66?tDzoeLYuW{?$$5Zbj ziVf`-2;V{70!ThrfE;1yEST62MOGgGAwXG=ZrLjuAOe92EG!y$5u(h&oSA9SaS!Hc zLXsViS9bo*Kp3(gn(46X0-3kRMoK5cq0g&1+?2=AOa_gZ4*f9PIoL$m(fkLLE$)md z4W{$g3ZAVGu=2v*29ww=TB)`fsC!!HkMS3`;z%45$F@Yq+h@_4&KI}p7?MR79_7+> zuMF>Py9*5dRDTV5^wNvpaN*zQ!e1AJztF;8;KDyW!)fzp72eQrtPAsi3v;N8b73Ad zg!d7gr)`qeIyR~E2qa6MObzN@LtzlfK8inePq>LZ+#ovPXTfj4JFuE8IL@v9 zXTtHe7!l<${R{sHc~?jWd>&853`#k9w=i#4dBvaVBwl#}qja$(l^`sFz7TdeK>r+` z`>_s+3 z6gR+-$tV$!VhG?UNJW-dk$b-H&cX7~RAh~c@N^m*8WtNFtn-7YvwU@e+X?yN4Q9(+ z>cmG~W}&(Ftg(DqW+98lQf7gL)a42lV4qtDm*V17h|~rI``$_Y65+siQfshW2P>Gt z9H~rXkAOD(+=b&d@9+p5eyB-!EVz%jg~q0ixsM^ly$o!X`&i>X*1L}l?qj3-*yKJo zyN^-#G44LLxQ~n7$5!`oiTk+JeO&H7Cfvtv_p!%)>~$ae+{b?Ralm~XbRV^_dzM}!W+zO<~3;a*jK0b3G!xL9UhxYU%~jMXe$n42+2fkYM?zKbX>KcGQu@pL%x z4X#c}5A#S2R;LgVCHgM*Jp>p+a&jL>L734l>1>UNV*Q0U6z+u7lPBQZy@`#UjQy}q zZ1gfnm{ZcmMg@;5$4bs6(`yDPB^`%{^bjVlD5`}j1$;vdO{7HQ#xQkG z2_K+hKA)o%s@fk^Q*L$E3lsXS2#a0An>lDy$i>9Xu>m@4J6~RXWca(SxekL1o`-Onxf11yA{SxjG^Ekr&*hl) z$&U4*w)dyuHv!g}oQ$F)ici7%Cp)qgD`!b?zW84{8USOWnU5Ka<;vN4aFQ?xV&NWM z&BJJp-cgI5{xK2VqKGOx=PN;ps1`?5S48L~cuoG|XeBy4SD^9~Kc~f~b>eeg(jHkD zaEIWXQ5?5hBs&H}S1Sp0e>Ng0D>(20)pv>!*2p3fF52QuvV2n(hW2D^3jZDg$8c7I zP1tM_8fot7!e9u~(DJD1$!MIZcG}5jo6*9TTy!z$Aq{vu!+mTukNLP=VixCeiFb85 zgQ+5H`6%KWOW+_5r`rdKXB~@j4B13hHEJK2eFp~spn#}*RT@%YzduLX5r(YQNpWy= zm}|oLuTySDR)KV7%`s_o$eHgG0 zW!4hRq63;TVpXFTFT?4U>6(@h-Dtyw-bhrr59rGUGlb{E2+yj145y^ zw{D679)#hCbx$m$MRX^_A0&-rrz{Adh-{&6Ux<_ zJ|pBn208@rKLe3gL_MNGpvfS59}uNt-N}ybP$cys1GY}o zz^c+d#CWP=3|o~x-X+cGBy4WA=ZbT(5l6= zrryiO6^G17@fY4e@i|(2W@L3YleHh00EIYQGW8=;lXCPyZO|1`*~1h(+AgYsdZl7F zB|B~kiJ=@>$9-uVXPUY?S=XTU9F&R+NjG_{loK#Bu|_ngs*@*GSoczCP~CmlfMVK| zmQHBf$u6zL{E$5^DHD3Q%qSV;c^NvkrXJv#={_5o@1aYb?EkT*^3$T~(IHd@j6 zH6dTc8zDurgOFAhZYJbI22xZ%2x&Y2d_sQLK+5uB5YqPc0z$SMNUT`=5B}prARanx z$JP?^BtT04OnTNTZ$P5_g>7*9#D5eAwlRqjUYM;3df)FZ&t%I2~DzXEfrgfmwdW~ zw_Fv{3GTskUBy@NCfU&%9r_>+93!#qe72JyC0!RWpN=ynuR~q<8#Gx1y!wPLq6mRA z)cy7~=+Mn#9M?MI$x5xW0F2@y0+q2yZ`?*);-rcBE3D(k6&yctC9xgjmNw&?Eq%X~ z7H8F48X63Xmn$5@($i2H3#*9a8IV7-0{j<{eF>6R`wH?Baj}_;vWC2iV4cn2Q_zvv zTB^U|3fJO~@rEv6=vb92XjKa9e$Of_2MEc4rszF&C0-Epf)+ zLSk>4IvMxh5p1Y6?H>jC#W8d)+E5kgdJIU)qgXy6idSC-ieFMbv~C&5Gj(UZ<}`ku zL!~sH`@e-s19_ASS?NG(%Q+CUJqB_&7ji`UPIx3OR{@iO*!l=xBw>4lFp8pV@o)w> zBZ`&_O@w?!+n$FvL5oMd_l#bSM*%N>6xpNcMT2@zAD-4@krb84OcbUQBNN|-2*x)t zu*3GPnR)O-G%ug0Aqw5j?FKdUJZVA}o)+tZi%~T!qI8$>@lSkCxB25i$8!tpdBBvop z5*Jz#Scx#2N-drgbJ&RerI-z;L6@KII!1fsEXB{YQtgtP8q?F#0?AYQfZLRSA zEX|$%h^a1!Z4oP+U+1&Jy#%>jD}cm^T!Ir5$t5&}g4IG1BEw`RJCnFn)m`a4cES^QrYayje1{LnNyCkigAC5v{4?vLhaO4E3E*q((0MU zbGgJPty^IW;3X7{v;v2bq*0lJLguF%+<0s@;*ZCp-N&eXwCy6X06C875P@kB0X}-R zq{%@AK%qZ%&{GR~buTSwWED4sN^OC3{85_V-+W?o^?np19>(Z~Z>~kt8#y5XS z2q`GyYDNgrTHPd^cS4WT5lgIl{_l<%{^7S|4C0Lmc_OqSO2EM>_-5J$$q}YN*DrL3 zJy0s1lZVo`OQ7@#HTvuckU=vm+wa6_j23yJ;zU$^!KEsqRDC{36#}P}W^MADqSV`x z9owKvmKsh7O^|`qoM5O)FWQ!BX)bKQK3>R)~V)iaIs4A zRj9f2IbUxrbHM0rDOd}^=K1=kxinM4l%+bz8a58Cg`7oh!hUFH6RdCj<^4BJeOQ3% zU_Ruy=UZd&GOtP)cl@XlqhfXiMFoCQ5a{>WK;<8i9-7P137SXLggJ>gE>bUIR#XF(g!6I*Z>C+;kLbkY&;iAmQggF*xw+nfoLe4<#GfJ{^ z)~)({7wnx|#Yz!uX6aaEwZ(R<3pV0{Rq+TMW*6f8q5Z<{Gyeu|yaM(a3}ymjZSY-i zbNsUl8B4(FIV|{V6r@&_on2VSH=hUO&45gF{GzITxseK)V?YLtR79aTSXywLfP%)c zAh|;3eZ;}gifYI~u`SdNn!Y^7`&Ndd?QU+*CO1U2NCY%%n&a{Z<~BoL3pUVJ`6*U8 z0YE;HJhEx4!ap7XKECM>a0{1?fyLot^H;rWexJ>pvzn#=+!n%;quO zVJ|}&vFm7kr}oiPAlsS6{`#*#^%1cgwyfS5@yXd z7>t9oW5*rtdIPG2sfIfwj{6W_trs+Ey#?{&*%y*k#&5TP;#Sy~7Q>iPIP7@5m*wB9 z$G#aZBzz$2u>%#vqNRnuFnZ!@;Ea#D8qwLQ%Cau~nb!wwcMDwl!SSJ$LAZ$!h1j5D zyGKd8nrB{q8Iu9ny3G$M+W{j78L_*u?P$W=_Y}$ETN43wBzp|@7HYSf4-UIGI4{&R zyZQ#VPXg<$tEoT3$&TUBN{Y~^hUoz>va#%02*4+eY(N08^>)~!F>^f!3cxvXFWSI; zn7p6^djJwVSGX$MhHqnnRA)(valZ!d%;{sWUFe5A;(iT8la4l~utA1TEsg2eHtm9x z-b{i_^o)079L~9$=4`szLDZDPejqfXgbxUb+u(J`GS1xnos6&yqq+#G#|K;S7mVtk zCJ~T{ru4$cv9k!9jMe{iw(j$GgjzV1LvSXC7R0v6HN5B+Hl~LsP|M29+*SVN4E^>q=v$AJ$%yGP=6P6FW5P!@24xM#*(}(jLctod z927m`DevXP^CR6p@l?1;#q(_FmeC6tlSkFOTk(7%4@zdZ;t7Mk%_E-PpaMGaJ&WgU z7|nd*$txBprSsq{;lpx#Y|6Co692ra)k7U@DfYjdZzYgI)ND%GISl6kx&+D$07T0H zh=7?4#}Au_1S@6aV_7Nt&9zgPGV;f@Ote!4W0_nj`#Y_II%i^ZNVK;1u0TH-_saIu zVNau<7%tY*K^gt3nk{icRn(}s9DrW`GjtGVcWF57I=vl3W8+F$0nM`1aVUjG@%|OB zOo++CW@dOQ9Cvg|B?C|c-$qbM-Wtnt^zuZ2qfyxUq4Bn!*vUg|EH+_ube3c5U5-Ah zJV9pAFduaTCI4~kU(@Ku=sKQLastTz{oml|51rDMqn0;wQ)<;%sh^{FqM$?wQK#jo z?ZsDBKiLlfmA{mw=958SsX3FIUaA|!(N=!3UU(`S5;4H*@geLZ#d*VPM0tGEor6{e z*f`0M$sU1VdcJ1m5z}033wR)6Wv4luMmme#pH;g^=?U1ync7x$n|yZhy6s>sju2a6 z6;aRB&3)Q&^zRq$%BDQ;G#-Q+FWHLkQAG7SyjelZ(+OHCqE)=lv0Jw9ZSS3)^jp1v zHa+tcurAlq+c+2x|A;x5bPl!AX%{sv;+*I=GZcl5@3 zyAAof+652|?(o>=HE(dd4-M~{uQ2yO?S!W`-d`#{I2DathNp;dSrz%`_Zj@r)@+UU z=*tWYY>-9xZpYT3WVy=2-$tLY4mr#RWM&iL!eJDETrF4I02HGTU~InO59Bz9c|mHc z>}4r@33`ZO&{*7BisRWxuU{L-I=SkENhxV-ojnMR_> zAS>pa2s^XpIhcGfbNsA%^g4=?cit;z1YIol^&3y3!=LB)t;P}>oplCK-;s|c{#n)| zK;TR?T8O1ju~602lc;;}DMw>ckUMw?pG8ABv%+-E-m_~PjU+6Pyyi#}PoI<}1+3!n z$lBOYajQamsyxZ9a(AurBvi?9L8{!zauh~_)pfm_>PlZ^Arl(#w||7~N5ixatXYL& z6d(I`sI&2;%xaz;sP8W%g_T;56Xlr>$$SXqaKIE#4x^N(nd z*<{FGZdE$(ebS+`NvlS~L^DfvMaw|0b|GiDkd%IJP{Yo>yII``axrzUh+NM*=`r>s z3zfWR{RWP`Xw?i}q9Xo?v?Wv5cAcd#8x8p?aEeS3BfnDLv zQus!d+1kmSG|a{*u*8&e41>A%!W>M5BS8zE)nx-L%mO#$0U!6MlKYrIY6sxDJVZVM=9Zx+R z-}ELvfHfSya5(WFl!+m}=%7%=`UD~Ct0`-^zrQSCxF_*LzzMH|oQu(rB1V)mu_Xju z0RcX8YnV={9XF)kRe*rwy!5MnH!m>Mzy5pl-9;#k$t?AdHK6aCDF&IkU;WY1gGTB8 zHiY$ZA#-bn1NKc9tilDWP$6@%wYy+{f}0ENC$`EGFD~^|da4Wd3m0q}O^VF7g$dY; z>skJACzW4=zC%inrjN#zh9N?WoNFX~2HU#=t+QEfEWY#@vUq&}ylNc7nI9XDtiA;- z!K(^%!BeH#4Ocb~jJx9x4&%OiwKVmlGN7_XVJ+2Bn9-S;=+*lYILOU#%Cz3!K z38X_yn&8Ij87(yeX{E zR3SE&V`@r*`x94`*^LdM8x<|9Bb~5OKIbO-9;Q6lg^q(pjy^oCT!M02*SBEfQOn8Z z?L53{Cj2rW0A2=!=ZC@L?`dfq4TtNy-MYSM2d8!QZP)D$_Y6W;&u023L*E3t(juCo zys^HUmMNHQB!sX@txE}J)PUW(-LZt84cqL7JWWkYSvDSZMSzX16Z?qN3U`HvHVi3@ zaY;YxH=a0g8P@f3P$^_S^az;4T{X}4#Ki=3JJj+E6r7MA3wb#qQ*ISv!l9UR zU=q+Ldb~2S`iDfUM2LL`M5RJt?H$LoBde2ufTO~8mM)sSahy4C;mldL7L4+EQ2ajVm>iFujwV~R&En2p(#9@cdG1t;Dl??$ z;Zk(@d!s(G`V=fnlvS=jUHYz-%Y62L%H^sW&8V}vpPIt}E4UOYuGvXC7XZqNOx@{^ zIAh39WDJR{>O{|C0ny$j<{JUC#=zZtl_&^?koB23Ca~DF?2d6Ww?Wbla;q}q{ObrI znBq|#uH?jJ7NwyDwen43dr=oDG{v^K#da!JEX#)R52L_nUs)OrKLvvYN`((u7G!R=%y811*)E7-sDS}RNwF}NO6kI_ppR(jXJ8n z_Apqo2R45Tt7Hw5`a}JAl3Dydt#;8Xcrq;!Y0cFA_O}k-s-z`tXYZ(cM%yRpo+Yd> zjcTNUmir9wDFsW%QPAR2aJ_W=jw!fwG76r52o&rTq+rCM;P05q_<8X7Hirk(g@VW` zZd}+A9}1$W?d8R^l~g3%s*Jpy;#T!73?guG9q$HjFf!eh5U=~p1U4(nrsg$ z7|1JK$Uzs9Q(iBLcop&d7)d-6gkk#wj?0`Q1KQ-q;R^U#@Knlk{e>LxRSUlL)7mf6 z=GrZFcJyw5vxw0fnM2|p4O#>CxQ1uoNW`O(%TV1Q##B4NdQK1+{l!N4qTZ26fGS`h_Sgm3QP!!UKa*o>o}TXUy@>L zE86KilRF6NxgG9_FFFzzFCJ*>p9*w~?5+0oNv@EA5_#k^ul?$k&x;kp$|vV+)+f5d zm4bXOZ1^-;?c>&HpKU6% z&RM#y_0&o`tc3+F=hb@9cvRzs9O5XV_iqB)2E5VHx(oMrz|o53ISX(9B{MAd)st>5mG1us9RgOHhV$QB@3nnU;V5|-jeZ2lr_ zQ!^JHOy{oSi#I#Y&0#WxaMR%f(~7<9DR2twY5oEqaSOaH{ma?u|Wykc?n*aU;_8f}zmWl3^ovpI$;O$vTGt zM*IujFJe<#@c;8{UDT%ecCq(%^A+nHHBL{W3PaIcP8E&I}TG_Zv7bu3_tO0&IxTC+|7RJ)`F<|%tCZgnn4>eo(z zWKaqVfU+)147Gkrj%+qX+oSZRF5Px1T2XOr-VZwrx9I9=DYtoj-O=HacjFXfPn=vx zc4W(y<+_CJ*S+cn?YoE9MF+;UF1V&h7k7Xs@uYE4y)8N1Q|K+rx>ucUWVBI(5A5_> zZVL7rW29DKC4h9N?huO`Zt%>oImE)6;om+61&jl8LE9r9?E)<103nZ5NO~i(R;_Ia z8l|JAm(;%a$onehbWMBwDcU2*!wjITB+va`wbcjQ;eh{DfFm7W0TAbItOfh5SAz8x zZF9d0GByW(NGls397A4U)Ykg)AV~i(a$}(C8={yMU1=(f96K0ajg#G*XCpa>_@@onT4a0YUM z;GPlvV!a3wW4Zwi`1p6E9LYkPQD{(>e&C;@3^gmcZ2;zMDA&`cWNhsTl>*HlgM9|F z_+pj@?j}r>6g?iIq$+b9j#ajXCv5j>IJSyZM>^U|*HETLtSFBbQR<=+Kjm%*$LXZJ z8?qJ3BVZQ0sB}*hN%^CSsou>680TN86fXf#Iho9H6u;F_e4HspPne!gIw3JN9C4SB z&c*?d{ZnutAe|;Zu#?Wk1pZeAc8!fIZ*zAZ0uwh}>+Ak})X?8j@&Dnwn1#SRRiTK% ztfBPz939h0FZVB-2(D>|vBoUG>m_2iq#J&4&XHJN077Q94VD%W`or3lzL`mWZRMI+(>1 zeePb3QTpofD_78Og{{qvCF_v;u2+Xag)?=iE?b9hxh!`Ev#<`zSVl90jJ@0ublFq{ zEp^yW3}8RHEJ4S)EHBnkW>yYIJAyW9VAIE;y)M^~<|@sh;qQ1H>J4B&p)5f?E=zqd zizDbc#QcIBI>!-oy5x#ZeGOjKH;3|JS#G z?bn_+#YtEfx%5rK;zSb`){Zi<5b@l^zSgvhvhkTz-Siy@+87!2piVndi2so2%Zk3-cw8xRN>Eo8qFw(`W1PI!$ko9vy$e&x3ru6XTSTe3d}q&)jDv`5GMGdJ6pF)ReNGNQQaCTe>p; zcFC`Fp$$xw(U1xrvV0{R=?i!1TC)6y3_Hx^&@is7Gz#~*4+~FE^$U_a?Ylp|49pmm zWAOD}sQ=FReC)0|&LMkPk=+ucufox{rMR@1Z<(a+ zlAdrmt|`v3z+Sy$f;J!n25mU|(>{!eZw^ZTR)^^b#dI#L`^2kWM2zX18To4BR-T|p zDf4=kS$ZSLX9#@BF%_jzd?7!RfdGO^BK7Ow~M>$tc_`mnkEenqN<>!)*`J_~Bn}%!L9> zo}c}jSI|{Oc_{PT14Vhh=JLF`C=ZLuH5TRB;PU+OL(&+0w4r99+<8TL-tY1}R+NXG zK(4YVPqoW)XHg#Xx1roV7gjJl$o{LxgAWzu!O%36+gg-oz~wo%C=Z}RxwS=kx?G<8 z<%K*zO+vYaMR}IGJl`$KgK>N)H?t_u0+*+~D39=9)If*RG3(}-BbE|aP2GcMD?4@zC5sO#i#+Z+;rf4Em8Fz)(_%kYDu46LY3 zA{0>kK2jX^3h$Dk5{fZCzueyT@_TT_>9ep*raU9TZC~+f^3Y4`hE#fDT1U_wDq0F~##f=VVjRMK-w|*ipHDEKDc6_eObf!{mY}N??6`OurQJy(2Psr7@qV;$~ zk0=+s$!|ktA>{G&?L?N-YSSL_mH*__GiD0f&22zI zJq~OelF6iW>JhAz)9Wtalj@beZg;;4UKo#c97VcWC0teU6vcotn$K`8kwaIt5 z`*Od2xzv35j{B06bT}FSmTjtH%=g(u{p|Pm$wthTKz|O|`DqPBvRM zGVnGSESe~dG3dTyjWOK!IcV$gwv&cpIAVT_fj!iew+;EC10D`HS#}+9{0jXXAUW-* zJD-*-%lF#;ue<7TSDiZ!755C{W(OX?t!uS%|LkzDa=1@Y+`RTksKNBzyf(Kk|16j3 zT$kz3!Xdf2Y3j;;^j;A3-{^Y-=-VI@t?y55x7=Oz+!sCZefm(*A3^k=EJWYsq2J)p zf9VSz`gaQYNC!`k16@JR`SfpiN*yg|@F)B^yqXir z$;tTY{Cgl`&4}+yaCGGYtSPwWNdh+jSP%ZSs>a~7s@gkQ?sw4}0?-po+^ETyY;W9M z^$Az6kGxM>W(N%za!p;YpY;O&RYCmG+U0)oegxFz$m?ZxyI-DKthH6C(q%D?a`opu zwhtu^v4xyR+zc@Xs=iclKcMNZa!n=L*k3;b44VLHsJO>bagI_UyMQd+ZN1=FF5%!$ zb?~!G!EYrz?(DYs&vEd-fZ>N7s21AIRQOoBCkFeQ`yKumieBe(^l6T3B?qV3KZ0+1 z9oeYfJ$5M)piJiQQ^1AKL<&U{06W$P=2T{5Zmlc!^Pls?afTKvYhf%S;x+cfGW4fa z%?@~GDd2^2O`NIFB@Xy!7YGY#3=5)jSK*sbJ9~h3FgK1r@)3DOZ{j)6`|Pf&beOso zQz0`KkeOz|H3=QR*Q?csHHXY>AW|zU5y1XakV8*11NapV{1gRu?e{T!GxvlGWwrS; zOa*7TTrZw46^sVz&}fe>Egj!#dS^j=s}b?1-gN5j;!eF6-TOF7?e#)V3_u}8j!(us zXYlxBxpvd| z?$_WW%A1i|8Z6IUBkvUjDS(Vg!TH$(!k#&%iGV$L!l2_Hxc7a*nbZz!|KR$g+_#Lb z%a!b3=w(BYd*3HeejG%Yd*9m&zAWIEe$Xs%HTr;#fVnEk(ti92&y`#S_r5PQs0h_p z;@t$JIcKx;alyulL`4zgJx(0TWey#qCuh2 z@D&EM#rSw(l_!}b7A9mKt`QE(1usm$CPBL8JaPWH4omZsk=7xuM;^+KpRIiQo)pKg z{9wQC=2vrA7a*?N1umkxawrq4?X|%5N9dO*O)cMHQZGnM zuLZ|1ny?-RHkAF-8Co8R={4o`ney;U>}ImJ;O59{C!OFJQctJ$rNf$}w+~0GY(PaIO+yI6|K*Q%B(z*O`%yN7+`Gih*D4S~*$T1DcV#mOv>w?vtb% z{GJzIIGh-VcR*@UxziG3n@;u~Q!#vmoeJgOfSiY=I9J7-;kVu+{U25jdu8R{@_ER~#I1uOxEO>?BWD zkzZ^N#3>Xhj-HW-{dT9=spzxyyMfbdT5y#->ZFXqvgb;irA5pJV>N$$5^6sXg_MNv z0u1yw0KF~h!+7oqg71t1dG=2WeZ*sY$`bSMl%MQ8j4LrX2dy)dJ~nw@b>y0BlVxTZ zdW0ue_wCVUi&Os3?FZO~*yqX33hV8Aj-mTbOZuDIe! z7Uq)t&++QyqTP|(O_0Ilk>fny;WGI0f@w;7;aBLD4il1@rIji&th<3O9_AqZGUCaq zrZ`2fiuo#Qgh~f&L%ZChKABFv0Lz`l3>wx$Q)#+4K_?JCOh1jK(L3N@gtEU!=qjLu zG3xB0gnvr9znR2F=vfRKdWD3swWe(g*Oj&sB zzXee|e88E-0|Q42FUFJUU4ylRp`(`lumh+>d=;<-0OvS>r6mE5QUL4?+eoSA)VMJ{k+5LTd9cbmU0he zc7`7xcQ-xII$#m9@0|)^W(mr9CfPmb9uNnf!FW_WnTf}E6TP8OF@9I5#jP>D0;HCP zb@MFE$I$)$gTw~B92MHIBc(d{yzSLIAIU@^hfsQIIox8K-Pex>xIR!>g%ir418aEj$EX<&Q4KNjl^~ zS+e;@wp^v&9pqV1o3GZ;NG|EmTs|lLOmfladIaA4&Qx;=n?9WV%5h>vC;0qXJZBPp z0Vkjq?!y4QxBitSW;oP~!)%6GaWjS*;?16Fj2ORZb@(kVs8ja~>~aPg zCTmxE6oZnDhYP*Q$Vo%_qqz0&=|8lOS0rD%+a~XR9ziO!23&e&gr=0;JuPKJV&z7p zYqx5$;2+?{_GwGJlx}He$*8{_K4sdWw7p~gN!p>b$={#_aKU!LPPQkHFL2On?8vIP zZH{?ua$-1fz_h|qX+2pGJHfR8Y*O9o*@<&u8_|8RfE*OUR2(3Q@c!^tt=UX7-n;XS zK$^YtEkZTWnRJ{VC&V8pBz|rI@q5}pd{;5yU1<8fD5}ddBU|;&n3z6&Gs6qm145eN z#Q@&$-Ht1U@QS4Paw-g#;hr=E6`wo5lc5H^{dNSmpR?+@_o{h8!L`VAx0nla2Oa`n z8V?!Sbei`l_am^yBsbzuc%*|km+eAcB+iR(v}YC&Bwi~K9Xv74a-D=b1q$gBbJO5Z z3y){!Vd?e`VjSoO zKerOLeKNdZmH_8(ZHFSEh+d4e7A5YEYMdE0aP7wH@+PW-rtR*a-rO#($30s z-hX|g3V>?^2yO1MqT8E}iu@|U70TZ@tINc9fl)m|eH-q_V#fR>w%dU_R@@CfkB$yV z(87Yg!Sm1+$V9Hak>Y$lKtajBj)7E~^TLvGFuQgu@0_~ifR|9ZVD$#Xq4U+b-j-|~ zIHcSSe@I;cx>vjQY0STcs5@kFrrrV*4S5>N_Z=nfVZ9 zJCIHsXa}11&DoiZP-L-a>F+{VkMar-zOHourB2f4|J{5_=sQSy6fYb zR?&Po-e)v_ICnD=h7hK!^&6$u)>`DLrAyD30Rg?cx5G#k_Zigl{^9*{admIGk2IPdsQ|1m;4pBrz-41l3J`K9&6{dA*(z z4e47j`fZd*+b`|}RwWvPYuTQi)jl~Za_8i05u}A9Vn(6e;qx|CgfcT{aAaClgJ&qf zyI(=y`=F;iD2XFB#K7fV7ag&Y*KL|;anU8_N2@&#QhNs2{u2+jemB>Ok`3Bi0?7GM zLy!-8p-o>1G9v+w)N!TCkdYXA%-mlfFW@Ofp*P#w!W$+^L4-KZ`ViU*=UHWMQb{O^ zfUR;WVyS`)ribC>>dW91N5k(!v3Q2cM(3U{&pI-gL;@%HujB0HtKx8E%h&(L1z44i z%h)qyxMMm#6`>ogPtDxbUUq0RtIsQ{O34Z~K4z7JwKIiIpX&sFu1amfYBZ-}wrWQ6 z0v#2dp6G9p6-)gT=dU&xafZprertoLMOU%mDrC?l6obG)*-S4_nw{$qdL&;(yvM%9OYD()Pxj$hIr^UP+XrcJUDgxs! z74u@)Xx^_rL=vz9cjq>`l5<$qWmKhhftDpF2f&0xAppAwgG(w;Z^7b9k#d%=F}y}P z&O1aS0;~5t>_ouotx7qocQu~X>XnitwG1{bk!Ac-E+U>Dif5owSg1%_OoOh8Y^iM4 zSlSJlk|Ta7Ir7(*!WSSme@;0NR)vAyV!gGNwH@{!H89pYvSkVNal6h}VSW&CnUl>zL`hv+$&CG z$qvDF89Z=ys6@918x;-z+j?2Ov}?o3xtq%)L$7jr_)dUE?)Z=gHN8pvUofOmvkvM> zV<306v}$$!Pf8avPE-7$CS!^l|F26Is}D)3IX@h9z(S&9n%BKi=PRbt69n!SP|DBZ z$Vs=>>W(=tzXBwkhkyW?wO=TsL(wwnVB9jS0arg@yj_Wp(PFQ_aj9ykETsIWAk*h#31r8^a?oaX63Ee1hRONlnkQz!63C7Y zIF26*Cd5MR3POcaJezBLI9>_dAv}7N!pc23oBTu4un-RbLdXbl*K6>Jw+l5l2t`SJ z$U;4Ox)g}dU2X0;zL5YhJ8Usr&G-xa|Fl&?x&Jc__bx#H>j+9~`(?P-_6zFg6P!1w zK#V)pmcHi}Z3K*X!^Zg{-Xr>Eh7_av=9^+e#M?^PEvO+cj7+obj}!Nd)CE||)sK3S z6GNG3dbDClE}h1LkU22%8Y4FqWBzB7)y1&G%!>_jVux%(;o4)<+N{J{bYyhY^tW`>y@Sg5@-z z(CRq1#MpMxj~?C3lIMO7niQ;u!_3U$9=x?_D_aO_X{gS@RVyN_O$j5>i3e3_4ofX< z-@J8J3Oi{2ID~uq9&9-RRZBdGKXcb$y8?%3VUxm4o3|dGdaJynn_UWkrU>4`m*YvW z=H+%udGxUx9#N1*hJ{5GYWh-^53lbVqCF*ZRvH?1HNCMMZbNtJ&t;_+A`^;{8kvU5 zAl1)|C0kKPwzR@`Qy$=kuLm|Ct5Q=_n^`;{i-wGO{1GgwSuFw$C3s}Z8@%k$Sj3{L zAy7Wt#WR_?Pq`y!&IccO2OjYH& zU6g~XRO>f$bm=YfGYfM;d^pHc1m=xifN2E6no)phkIcA~#RP^PGN%0X7ENs-K~`*q z=|=x53)8jQ*A!N}ugA2ONayWjI$Oalw$K|(BZ*Q)!|z&yHgx)~mgCC+g<}99Yx1#j z5Pw2Ipn!SZ@Eo#%rvDI3XJ$!HaM6e97b2bSrh;tV3N7M6u<~?QTGJ$YxphYK3b~Bg z)(N^AY~zm*s%Sq;SN4n?o0qC3+pK}3^KzrRy4zNF{#sK70;45 zqRq5D0;QNLS5-l-;l!9OL@rax?<2udcrir*3vLe;upkB&K%-L7Fii2J7qiCL8X;L?9_xYBnHK!i_ z{;vnQW$X<|CR=Rs4<#Af@lQo@xpA$Xq2)LO3s%ad0rv%9dG0(BX>mBj3pl&0&R&7o zmx4bJXH!o)hfI289)i?oL>!_(1E-YLbv?hpG&BVw~pD+S| zN5b%^yyyV ztB0xiO+Xj9>rt?u<67yqv32UQ-2Ez$0qDnr)ut5F_CG4dv7NP{-Y>gF-2P? z-=24o8#dopit-gxxf=P*G9Q+eZ^nQTYadf*V_P1sYEGSo_O&SSRO+pme_oUreIKzHGoo??1L<#f#J(!a~ zV~oLkqgy(N3Q-qec80Uxm?3h?8cWw*^~>u#rTyeAt6Tu>p&6H4nKpTZ4VXQ^vtGoi zwQoMS@>a$+1Z&@m2VY@q<6t^*(4Pkd{>Lk9CG0+K-wKSueEle~OunzUe0`cPl)8bq zGi}d;Z!icKNJ-&Gu;383?Dei5Pcp0{jgR$Uhhu1xN7Un3FoiYAAE_T)T@@S^2{1A$ z{h-)Gi;i|z*aG>z9a#8o&^I6Ne+LUrqP7rZSU`+8JPfGHC7Q$1;UQbJJH->L%H;&^ zAO4Sr+xENu&3U>(jQti^K_bx^vV3x6a+ueu*hj>z?Bg8wi2l{4&UcTnhBnn6J`ZFu zmwJMGTworvsD0=NzDQQSPC_!i*XrQcg|82MjRn8PgI_0tUnhgFp&;;9sftHNU*I)f z<4B4x^gYLY&q?2Nt?zlM?|HfJd9{0P>*6#1iA-?fxO;AE<1_y0r?zB}?AqY#(%@@j z@O5MGwJrGC6@2XpzV`ZGp<{!G6>eblTb68IRFEzF{EgXPc`vuOp(fJYd1w+;5Ybcd zBkGZkP5k&P@le_f0pp@jfC(3-g2d)K8eKwX+Cs1evMF$q&7^lnBe2rWT?u38*?`&_ z{a9%}F7kiup;iXJ9~JmcH4T3M3w!=Fdv_Wbs#BnzHB(W)lJ`?dJz4IdL6U+)gCs3e zK?Zm?vw(NhO!DrH{_53YO#vBedG|7nnOAqV+2Hs82z+O&)$cSlME-c-I~#d`cMGSY z-tms*9vUPmI5bGoG8H6vx6sqOsPYbsVFPBx_EYmMV`}57p7TAhHe3GySW>~NJuu6r zPY1wi73^paY=ObHE&#SVz{>bkm05YKZI#JG1FJnWu+>w6frB%^LA#BdCmEx`bMxe+ zx5CK3d2-lifTskDgB@x$rvzI~u=d0xXU>i7Sd^HIY-z@%h$U)?AxhNV-4<-F;=(k> zaGW;AmR26jv*xZqHaHa6`gzDHBt1Lq$8h%Q0|#;N+`&SxBS!a4sga(Opb>zYBrys| zI+*v8q*Wj(=aNMIk@QoSBzlgd@3|x~8%XN6NqC+KpH7R4)1XB<9z?C-I6;7++-;5n zklw+P(gTjhKUo|Ua%r$kJkFY(Ws4RGmIGZ)(AfZO2O*@6Yab6rwlwOL8Q2A40rK1* zY{79_l;#FQxE%jSorBz58NO9*%=|_+Dpk$0V5XY_^ergLqlRng4z_;I@NFTnUE@fR zieBR0ll*?3d#~mDDehfrd$fCB%BtLIJo-E@8)Q|M`m17^54W3IUi>oWRc8uNXdC1Y zP*;}|SeJWEU6%5DkB3U)eR>kD)rn506U&1nxyF-$IDjYV;o%KlP7uBuygzG3V z73%+#^;5q<6yrvx7|U7m4*?@J!t;#(vWyYeM6b3HKLsB>Z1|B>&vA_8!%Ucvu4SyV)>o;dZso&%)IEv2(4mg1tZ$^-F zUSd3*dKU4wQ9bZv#|xm@w=Nqz_iiVeWK47%d1#z)z{|7t@RQ+qlyE3*G}Qbyd>qvv z)6s-WcFXx0qyCdPdo_fDaYwvba*C!&Q%dQe51~VxvavAFV>7@LiZwBjpM$pvQ#t&a zXLx5F8lmR0M40T#q(O`XA1CE#@l#JA8-^Cz zZ}?@?e!wvl99ldkfSGtBOkiYdv%$bFj7~=>ZGgU)>WK1nFnXaAB zAIuf|JfvU#ktpaLg0N`u_s9I-<&X$4P&m^FU^25&BuvC|b_ww>+I`DfK~+0H6Mip> zm-+et0hpowz7ZA%dLa|o`@)~eFQT8}krIT&@irP@Z1Od7cX>OP@o543v37LNHmtP zEJ_@RY})WJAyDhROePAC$d$f zYJd%Gt$a3kV_q&!Mzo_;=E=m5UX&PbZ8ucpUIr;b2vlM}1HgGq&F$w}AT6P`k%Y0W zyoN+!$saT~E3-FQp>2OkVs~J$uS8ByB0m@$hg|V1-RloXdZhD?^2pIOp!4Fme1iVu zC?-3ESL>JpWH3XvgZX6{`WBW!aY_jkjwvxPC9>stXsS30J_kUzDW#VTr5A6%P`8$h zuu8Zv{IKRI{?5cAj?F`_iFAGoq@ob81+3V9E45vp2U=$j{1TPU;V3pZ?qjS{uGv7t zD%Y}E=-Mr?m^C!@-xKLbdSJMWJgpGIT80SrMG{AtKDbO6u$cNQV~$nYf@G6HDbQb5<2oXdY=wU;gg^>pK66Z=6X%xr?c?su+)+A z$y6{^sR-ZL(+=K)C6G!rCIcc{ZYd#edxjh*TcwS~H=@^`Fg^1EST0}VE&^7U)WJ_; znCOEKIHoesfF{BNW1QzbGkK!d_R$3Pr*I$7!F-i}qwfsBEc>|}ERC%#Z%ZpX$O)7-qjYH;$h3Y(SQU_|9Nxw@2L`{8V!Jo7 z{XCCX*W}GIeUJ%t*V3VxO#9E^!x4Nie9})?x1$$C18xl3QR8mLU|%uvg| zMPBdsv+VIYo}$I97JDKtIgm|Q1lrJba6#dsIGHys_JMKCX=Un0Q{8f4 z7#GJE;$-O|PHy9pZS1qw5zp42!y{aLK(llAT&YqfWHD3ZBp&q|U+6dmn==vF@?Pj- z4-jw*w%+v69L_HMkAVGk4NXe2ZhM$#W3i#Y^#K#mM~jP=JJ;)csf_9dnL|e=SrS?x zCX*wb<_-?d<8f^~YX%W&&A$2@#uVBAh9Y-y23RxB`8Kn3ngMPGhLiaRCoNYtW-awtSK-#HqTy zzR__OrVO5)Ecdtq*4bILS+XNOUtcN*%$ejkUUQfM7muDre?FYO_@`Jo!=YE6p%@gw zZoU>Amgh-4$AzvX`_r{Gg=XKxG4w=WEXf+9;}Pk24OB*+?$Q;U`)5Qt9zqdF!`haU z^lOOw&-Yg}Uy?gY62?QV+&7VB2Qm(4@g-!)nH6Xti(P;l90a?7)wI}VApp=ArxOD& z56=N0(<-s`Iy`>&(T381>K-B1p+Xnyq585zwbYL)80(CYq&$2yhXg(6cBWI%gxNEOFd%`twRzy0wQAX~~k~pezlbFG% zmD^l=5&}hT?t1HDxs6W=)_pWOg2gx+6Bj|gf-=p*^E((fOjS4OM}pIK}-qZSe!vt%NHo%s8v7?CP@Vp(2u@Q0WB4!!OBpP6-#5Nz;#4aU1)3; zebW55EWiu;qz7PjN**7KrVh&k!}NAS*Z@)Usnq;qH*j-4*9s1vQvqENyY>rgR%0ws zj0Ymg=N)ekuMSTY+TB*)uvGpf)0KPUm6VDU`!S${AKV?jT8h{UPqG@lmq$tJwS+{A zl<+d_<8XFtAM2vopL#kNg*O%w%T~t`HXp-ICyniy2|m+oe8x2`XLf4W! zH!;>y3A||Kc#|;MaZ*eMRUgiNa@3TnOK3#od5RSrlt?K}ygUQ=_aspV)kHkeLQM2* z(Yy?hF!N%Mxa4sR$aHC_ z3GIBB8jHC!0?EQOoP$b;^Om=sQk1so*6PBv_VHgwc8umPA%oJF9@#O3gK9dCgu^AQchQpcX3UV_9PzZ=X@G5MiD%`uSvq#3@H4p8H!;-2 zKsG#-XehS~2E!a=BR95FBL04V6io2)MQ-P$bvY1CXWYBHmOX^Y3U`X~o^kH?DuAf;od8T*@pwXh}SZz}ht zFx^KyF92D#81B|}izir@{DO9bs*&Mbj=+8Zze>kRZqmUPC!V34d*GK4j&@H?+_w4P zS>R>l&IFE(rheE%8M?!D==$t2Crj`QF5#FHFmz(oaA@6)dvPjZ?nvZfN^-}VhV`jc ztJbVY?p#yf&>Xv|{-$IagV~Lh$!+VJZjRNp)U8RTlTl1xt*yI$?W*DU(e`^_)HiQfm)zNOV{Bzzb6w2K&aBMC?8sM*d|$Hp23Oy_vZ*e$c1?2IirD&fYg_7@ zk_cg^la6x&eOT;CK+ zZu@AeZta@pn?VbvebUM5vAyvHq1=2Aqh|VOD!EfLt#=qn7s*L( zBSECZV$AKE>tjJv{rc3}lz@H zT9ry`IgAjJhY>On0VlUX#LZ20lHbU=aUGak4`D*i!|??~4}wo=Sid)ZS}1p{hkji{ zeQaG*46I$(1THl-IiWYLkF9CIf5~l)sb*!DQKP-_SSa_)!)>M4-`vn#w~_U!!G>v| zXxbZ}6Uq&G0BhE+t-k>*Pws3;-BjPSW`%7WnEq_3Tblx9^U*5OHp9+T!^-+qYZ`!Y zAuz6l>H%cVN^tviq1^QrY|w#0s{po^iZG`EO&eh67K3eD8Eam1Q+=$_C<2PFYi_P* z@l6eT<41;aud$hSc(`}2jIBsDwbVo9YiJL0zqMC&4>I#jjm>Ci(C-!N8k)VvyKUXt z*acUf{{C9Lno%m29CR7Q;z-69 zUTehcxJ@=T)vc(96s1J4ku>a$&kyCkZ^2(}m$9}&tOZ=rWI)vu~=s&9bJucw8A$Sw1?iTbUirilDfH#LTGxk}3luWo1> zH#Np!5j|p?Zn#yE&$FWJe)VJS$}Hd+B))MWvnR$yJ-0_xMFQx z3T71jRD*mu6^u1~%3$4kfJ6Ohy@0a0X&o4SN+`Dtvu|n^*Vm!dt#7VF@7NrxYgj3^ zf{iITh!-l)denRs43P*|5mUG~hH~pYEVSnJ4eQWB-LTqZvRyPS75iT!E|}U-?i`zO z5Pc#%q@g_F zrbg-KuJI5$WfZ)?>LG-Zks1&xCPcLO%{C)kh=w%{E1E!c-Fg19b0ne>bmu4K~AT4icUi_j2TiBadaqmpUn)pG}Lcgv!1OLF4y{X z9_6TKbOkH~T5Gd~CbN-f;86+CT7*z*N2i?(nR2dbd&Mbg!pj8wNs;z;y1-$Iw&ub3luCv7k`(RV7 zX_fH5$WBMw7p@ooi+dz^# zL^tcuOVNzNFx9bKtRQe@(7eBWx2O$L~qpv~J~^RaRkk+-&XA&KtqFrW89y zTMK#!bYR)t+0ldXRd+aFwbAdZo?y$|v1TRO5jsn7Uc9>)40sKVGPDM24NnpM`JXYk z68R1q*LEG;!Fsxdjqojn(Nr?^!RONlM`IbXnRa-Y;FO@_kRgDSAw2tp%u{?gzOgv3E; zMweEugE?eRx)WYX^9r<1PYOFY?&GMBQWjskE+oeS1o+kj8Nuo+HHvhnqedJxp{7Fu zZ5)xhu>{6a?6pvF<=x;~jIhuePz~V(Gv+z522JvEZF9Ly9ZW8CFOUN|;#C;Os3xIR zq5s+&KOU=Qh-R+}-Ho=Bw;hO)zv;)b7^kNn-H*QoGlj|F&IzP~{16@|-6L<6H>s8G zG3p+x-DAu>E^v=E?s1`ejJwCAd#rVjOWosg_qf_Ua*em4Y@_#>Xw#%bm-+26zrE&n ztNHCSzy0P{LP!V>4w?56^E+yO$IS1z`OWh8w#Ugz31M`wfMlkV9L5SjvrRhEahprd zwCzXdg;k4kY~7d&u@oC-EShia_D^9Sjs=y_llHty!2Av;a@zLwEQXOyDHb zdxhlefgdqoXn=bNY~M6Gd+>*dhe9m^6OvyW3QR}_^dp&mbR5(aDoDF1PpBD7#k%=D z*)1C5pAM0)s@XNpQcF<82p4h4-2v`)ycJ&X+N)P&PW#0mxknJW=; z%DrfLm1TWpVN^E6RYKX^6AFxJQH-0-6hZdN5ec&*dVKq&NC>gmOq)D% zRVzxZ*JPfDEgQWY_Ju%PPAZq)z#Q}huRuq z8*Up#f&6C|+wH+KzF<)y4j)Nz0szWx&XLijciixx%L{O@PaFWK7Ux~Zyj2_C{9X5a z&Kv+i7aIsc%u-^8w9ikPW&h>#%Z89Rc-?%;l;tR#Au5g=(PZ)3I46m*cI{MHUXo$k z=Ciqvz(p|?&e!=U)Iu8L{>r#jWEBUgpV%e3Wm7Cmtwt zrXQk^P`9*yiF{)+2X^W9tw#0$8uEaK&|LjMeF_A9#(t}TgRfxLgazrojS23UhPLt_ zQ-MkB6=25zizLbSdGsHa|HmnuF;8xF=dd7g{KI_hSnH1oY~|eOf7$4JX=^jZ+uC>O zyOez?!ngkVh}Yq;wk@C$@V&F~`QH~7yvGaPxeOJPIRPV33nMUq$%K*@k6C*#j#6-d zhOq~<4tO*60DMi1k|FpVh+!i2F`SZS%BaCnm(o){mFpxEU}V{t zn|VG7%dXX5Z17sNd-M77IbMnHZ%{~{9LGLQXsCHq^iZB3LT}5}MO<+x3HQT0Py!vh zFhgpVqi;RE2ClG}{BFQqv6erb8Uk`ycAs3GoyRh&eH14^hV1>#M#4z)vz1lj z@uU94B=l-Dc_O&29!sI7N;Y zT$YLelT7elg1QL8_#Da|kK>$ZzJ>P?WZ`UpwQxW7)hp%FtbPplfNMWwhJ6V5#)A4d z=A?=BE`VDMT!51f_q~Fb5@iiXGHqF?1Kub!!Jgl##=}!7N=&|d6JKx=50>q{iWX;N zfoenSwvAh& z)jS{Oz~4MB73Fk}6J)U>z7G)LQ5kVpj zIcMOW2-J$yM(5u5CO!90JOun{81jWE+7B#eN1kQ{<|X>Dc4I3_ghGpffF;rW?b5hh zPfiB-tc;ZjWrj9_?x$IWLZ=jIqv}mR;?>vlrj0l3t@F`r3p5)SnPO!HUBuINZF;?Z zN-5A`07B9;Jl}B1R`R=#OJl)voDLqvc|>~pe3L@|MASoi1Z#hOh$Quz^iVV`=&k1Q ztQ~ZB_;BY1@__Y#KZ6K)JlUN*)C=wHb*Q2q<&`@YDbrLDr!vw6vKa#s`o+cik9g_` zYTb$YA7Djr{%Y&om#{h%H?EA7$pY~%8xh8%{ye*pI(l8Ak769j(L0one9LbRz;W@7 z1jawzAHK&p#Bdy@` zk_n8p?63iuy6g}H&ocb*n@(cwvSSbeFrx(kJEYh)4oWB@>Pmw4UsSMV9$&N61*#3K zxHYxcXu>#^4+bMKzUescQFbXxWgb7$RVII=!F8SJ0lv?ZN(Q%yumMtw$QkGJdL7a@ z!Wy77Bcg8L3i}k^(#-d13g(Ht9zeqz1NH}a}TH>Koz%_xIl#) z+f!%tz-Y0bvz3LX?P|V3@YT*iwhA0NC_4uK_X$VCHzQrp&PYLI%O&u@$ntXP7>7D4 zyKT2aZE#G-(1M#3ZJZ;Q^>|P;)aFT-vabLYqk54=?EiI33v77{-8i7#30SYi+Eu&(NfCBb~Iw78gHBsUABd7?cB_=l=MO|pNuhJ`o>+zaD8z01; z&Ak$@>{*kU@P`C&0XwpWp={!72u+C_6AhmsK-cYZ#@pA$O%uJ}FB1KVN|Z(d{^owK zi*f#@7>Qc3q*}4l64_01vp4IK#cI|iY({1~(*$OD)#B6f6^)$=G40(vL@-1!<~k$p z?9t;XSRTG(-Sd8D;jjbfVhA;`RnOk2f?yL+(Klt;&KreUcuK1K@A!)^_)4mtDplPK zugk+W^e+I^5D*+wuo3Ej;VF+&HQ}Sy-q1?KD@E`qO>72#;nY{6C+yEGMj%D*B@vnK z)wSanVYq2K%Tb)s2Tvobo9P3rNP1lgT0eax{RQK0`u!`iEd-@Ftr(eR?xy^ajl;YW0SQ ziuFd&`}77mJiS4YBH}TPi*#NE5evUZ$!|nZVE;xVTb?Z9_ntQN&%No?-2m$a$NJ>g zcGdm*X5vr-c*A$L!@EnhLr~58qj2;*00;0U;e3zZAHNOUvu`POHv&VOY*RPA!9Jzr zEcH6oo6%%S@{D-?m!a@H5U+F*S zCr%;(h0lK&!7CT=N5fy8W0ilI3_j*|OM(s~m`lfeS0NP*S4MJ3MYw~X@CUiTgMPeq z^@0c9;DoqmOQzEkMe+5esw8!8e!Vi;`m*kN#4>zC$Mzah1Ad@OlP+$V9Az(()mmxM zP}b;T{t18SaA6zxIBzkEiiSUp1Q3>Wl*~7@cX*)D@Z@Y}ljsMtU5EV9@QnhX0i3O@ z91?j+{j$VXfRHS6e<{-20*W@zQ?yz5h9gS2b9b7$#%lr73vf@Ph<_3Z;ZF*6s&`CT zCjG!-TJEYV@eK-q2*y(G_fY*{E{uRU(!!sHp@0|A=nvnJPg^le>}CDXLa8*apB%y4 z2s@1#sSlz`ax;X`IQJ?gNd%8#qa3MYY%U}dQv98!*YGhfH->^FJ2JC39FfUg{i+Bk zmo47~dG7(P&&z=xibw|kZl!BSDhFI^fXu{j5`es!ras1!I;}oSA4bDeKT!G zjwy-&8yAn#l8`fKTR!%(-!+=eI>Vy$VlF@*+q(FOP{&fdv)0K*@_(Gla1s0vC#05UJ$Xkj-JHcQxJ%E1cAIK`PIWv^DcWwfrAfdk@0mFF!cQA>spaY5bCquE$O z7H?VAx0uI}0gycRxmjX*l~=hwRT|J2?HUr9!%9E~lsPzD&>=qRgJw?4Tb)B?FpNd8 z^%z+QO&-t3VACwmd1APf+Ga`>wm*Yi+?MUAnXnyD^V%#F>b#UAK(qi>YpTXkhJ7_) zA5jVxs>eL3tS{=Xh)+w5ZaT($OmPER_)Q>BvgZB^_T3UN8o7fe6cw5z8^`c$KaI68 zE*1V5^5rY}^z*P-RTi%1P?TbVp5ssP33W%cqv6Yi4;am!W-(1DrZYTDcL}EG+_wo$ z%5Omi)Yqx~7|*?5-7nJBX6S+^iHPozz$;IwIryd=oygy8OEYwT4`nFb$KlCeLHN6L zUNsB~DeN*9>g@#>Zu2nwdS+=1p5Y5W4hW8XMmN2QJotuvRT5D*$Sl8+Rck^>~eZzy-AWpG(YONb*6W2mo}b^%P043F-KFfdP^@uYsoGE~Wd9 z`|9=cym+NUwp4~vfSqSc@Fs+eN%MeBZVM+^&_b{*tH-CWz8O7oYb&|ci>&ks*{eFA zkh~jEZuz}6Kexb|#HeuV5poNY*yL{y=ZH(ps+zAFLMfbcB`>p~NXJh&xZ<%?k&Y*I zoHb6-uLhmkr}6>KESl)Ge2v`ka}@w;O93q9Cr<$$QXszK4pLD&Ri3J09^Vnk}m3JuW|(LKFAc-y^?&qDOL8HywlVD7yNAblH3 zG)}!oeai<8kwFG1Q%=CQ#zQA+4ts09+VTqy|G zhkiX!ag{B}^~;ur2biqaxUBj0rZiOyeUZjw2$rZC6ohWe0bD2lHUw(nuQq%WO%fZErKKZ|?tXGs^3^%=9(=k>vCWqsNZAMgcC z{0%V+5H(v5upvHzSL8Ac(M{bl0EPMHj-94ud6umhj<%~Why=cwg`tSWy_qGf5gMq5B}^Z7 z;b#~Smq@X+ydg4kl$pTMYcv2ckbAE-M6yFIPq40beL`&i5)L2^wL|gg#cCMQGzel6W23T?p;Sbd7@IDavuM_8v{EOwLLs ztKxr%NfNVz7w}<2Qb8@bY)N6#oMtA`AyZRschMxw9;YQaFUR|#1jqtpFfXc$7at{& zJ0C;<5E{)?XEdt#iYiUrg zJ6&@EN;Dw<*mIiZBzi6Vnlz{Fq|y`i_CP$B&1o*?J`9M~vl!$Lh0RH4tHDCkl!o-W zWvg3dinCmp5bjPv7Sx*J=(5_Qtrr=XOx=TU*%O2&y#@)1m28k*n#(rGAvDOY%o6gX zut9$NQ?kVCkZ70K5GBtB))l$qN$8|ego4K0MLM(pBVC&GShjTaWWU&Z@D#t!C?YGyLfU=A^XOpm7ze3@tSM2uc7!<}mU8KvRc< zoYQl=;PmpAOm<2DE*sC3vz8wO5aprM_uBdBQ~~Dx-!d%*oZI|hCh_38iT+e9*}Zuv z*}Zsx)y||?dhbPPSZ-XV1@n@>5(!|RnUwIC#6=BeffgqvTn`8d;zH`yxu3-fH1x~6 z>;eastNMq)3UdwP%K?H;{r#1@&9v^=3e)d7CBDUb7`b9GH8)X$Bo2QaFHvYE`7PS5 zk>lzzaO`;K6Km5M5h*c_XI0O{1pvjqia|zRnv5)&#r;6p>mT`=+19vkqMCLd0xT=- z`_=6{RB2OI!1xbH`vfO#9Cl9SPEBMMi=-L&F;)0E#>*(DP%4*WwhkG<2w?&O`W_Sf z)6M7N=#qA{64sr2hWa8~etfXR5vf&OffdMR32vGfTrTdvMCbTMymkvV!tB|03z-XJ zb$yMF^@8(bfTt?DVIaijn;*+kqzqrr{o8+Q59P^zz=nfHb01bm2BjIZ@6ge~VDv?Y zk|xkN!9r-DVeceNhqW4N_9xZskIF|7->;BZN~SL|V(3F+CEkff{Wsu|@f*IV{R9HD z+6+%pgnDn0+wXNlm`Z+{r20p0Z`b4!RiI6Wf^tIEI&Rvx1uKbG#&hwBplIB!yNb+L z(;-awygocTuaC6?b3ndU(NqY0m*_?0&QGe>=NriIAkC$)?jz~c9&!$%@d7ZqT-XXwDjJS|Yp&5yEay_9|gQmnWfFxT2O+2J}DmbnPX3S&R2t@#L^$0jT z`25?JlYoMaIEzvXO4CRU>lw<~=?3Yabj@$cjNM1i$Sh%O#4PbT+gYH)WO$0Uz%7O4 z7{FP%OUhve>TqD4~b;Ku5li`*BBzBy3CrgP5 zY|AR2G5n-t(ouhDx#G|eu_avNp6bgi7IFDZZXaA*i9W)(X0f2vvJG_*7OE0r=Hev# zgzmbm7U9q&wOrHkbw+cmM0(i(yw&CR;3fBcl}s5urI`X}l(@2lNVm#{RR&8azq$O! zKoPWq`P$OJG-MtvkQS|(_nzk_<8sBjcyGbEsHQWbCD9POvnbdVvk$DHSr|fLG>kN( zrjK`~Lpz9U?n5dGc$x6%AP<_q!nKy8TrkTal_`=;n8n{|p6SKjmM@)t=Z_k-w5| zT#DjiWwqNV!fS4zDfPJwUf_cy#Z%P1FOkms&}VQ1T&pa}`4g-!=1F8i&#aS|Hz#L* zkW6-ykJ*_OtX&vF0hmMfbtHK6jT9hi)GP^;uI(!rH%T4Tc^hgo$?52%fF+^2w(hHD5;vedU~sUt+eFU#oRo8u>7K}kjaL8+leDLC;XMDTrNIk2&9lyCtk5g8eYu>jko1Hdn*p7hIj?siZ` zjtS zP9A)`<&0M2b01_&us%#}_fs9ZqZq$)Ox24`QG?#$IdKO~)Bng~?;t<=_F3Osl=!8>jl# z9LX4cD1S15UrC)0bW;Okh&RM#LOhGO6XlbD39RnRMB8^)q@!pd?VyfmWO3^D$d;=y zDjQD7lKT9)oKY*v3SCYe)1KIavwPV+ImFnkj8*;vT;)HYI5AusXdTRPTYzjsMR;`y z28h(wK3z=wCNKyCbs493d>?QeC;E|+S{)aZFLE?JqXaF|3l6m3w5OsyF+zI4c?MTT zfM2#xD6yx7x(9Toq^n$e8rEHnOV05x@KxSG6l^rxl;lQbG$%h~< zynXGddet}mw3#Uztp=h&-LoDI%C<&YFQnb3X$bOC7*F}aa=zib+HBZFzm+N<2)tk8s&acIOB+usOdt0Hvv}aqN8DM>jTnV-k_D(d%u0I-wzbNKpsVXLQ zS3NCXf36J%`S?}+rBYvknTBRxX+xvi3osN30nt>T=oFGQ_!EBPZ)mrrGnxjzcER*G zxvHAm1&miSO$ITH5T{gGyFnTf@BUB_HcvbkngQ!tAVL?IqWkj4cyrM{jWuy+&c4W& zUTCykfB!~UD?>+|h6)GVr}Y-i6aAZW*oVuqp-sMZ_dhp=1UxU7m-@HQ;Ku;l$;B68 z0H5PYsmmb{vXFpmDLUEet@i)Bl?J6x#lN~uGNVG_m#rh02w~gG51d|=14UuAt63sE zTA4$Ck}jAp414PIEJ!K>8#$Roj*^wni2Fl-LLT6_nz$IArmS+q&EjabWBeq1HhT_! z`f|Y@552xc2)3>z1%v;Ko3F$IL8g2SHeYY^ZDB5qS}Qd2MwG!!a+Jk5zna6)a0`v_ zfx$Z3OY($q0yDp=9x*I3(s{c@>gk@KgH;0uD~l_Gs9t0Evv?FZvYwYkjQC#;8{+v; zC-~oW01P6fFchL8Ju@tn6Nz?IQ#sHde3Siw4U49tM1w=v#Qc3v^+&`*5<>VWFQa&Y zc_#C4G$o+;1=JXZ?e~lVO}~jomiWvl0OE}t{PU|av@mn?@l$-3t;D91MF=cA|V|+ zVk;(#%tsj* z#-s3x#fj~k54@84nJ;~wmIS35&W3}fe%zJ%(k-O9xKzura5*mdIfPz>{Nf@LYN**J zi^S}3yatKXIs|E=Q2!(!lVRQwqF1H7Qxb%`&0IqOxDx<32agcNaP~*XNOpOyI!<=! z=01Yl1$ZJIAJ9bJn#dMy3Ng&R`=8}tsN>{AckPlQfb{}Ul7huP3O*H63XFS;id)TO z{p{vssUDxex1g|7xXC_ZFO^l1eZX_g{F6zb_3l}!7 z5&5IQYCoecV+qClyX$C|^C!m&^|o|y_W;^~z7`Omm}*b}+sxPw9?MB_ytGmFIQyE- zZ3k5DkMrEnqG{qzrg}}OcR10Jy_EiJ2mOUL&ped*z zxVJrmkU0qr=-Yzp+k4k8f~qhKFu1r|RZz9wm$`?6bY%YGCsZ=W)^o~{c^Sxb=uVbm(r^!~ ze0CKe`ftLQs&Aza5nLD#L4N^){&EP0TO1{|^BsaO6(Cqw4#6FM1l10~mI4H)l|ztF z1Z-#;a7$*wi!cM9T=7gYGaqh@Wy;zDjL$M-DW*K1k~%3y9FT#Q6MkDMj2|e#`0;WW zzpNOgk$3l0S4v}KQ%+`7a~R+qfkgX|26bxds?rfQXCR(1Rlsw@E;PQGu2fp=?EG@2 zp6u$8%+zl5p@FJY{Tb6yY8xd8nEiJ`mtx0$b~72VWI`Is^n%47#RpTXB%`4oSQq1L zz6w=OQK8QXC8G9Hp$p1Ua&?fBwlb82=u7~Q&}kGh+twzr&4~78A?g{ zZ%v+*Gd-~YH81@b_4Apf`^(`NR2=Nz1zL`Ay@{EeYM)YX_PAHI zQ_2#0g?sNrS-IURLB-31uTBGEzQG^H>NDHGzgh;J^3xJMCd^=lgo>i+QpG;c45<|0K? zvR`3~lNsYf?N=_8Qk@yzPUNMy@?-V=S*i?tBOO=y?M2loj(i9slwDsA(Z~IW7GS`L z6Wpv{_{!5({@E1)Ft&dm+;a}@+yb~6ez;Kw_j-k+J`Zx*PX|6}-0Avml&KwBCVong zp0B$6KfcLpDF7>=XN!aTdI4O3o(&GJUEzctTv`^|fdf>a`@`99yi4fe2bl6@2&J0A z%w@qW%Ia&u+B9w0?}Q>5p{>6fgNVmj zfly@26;!oMC#hnS+=wu-)T!yDOgBNGv69uA;T z&4|e*R_t3GTzf4+xTC|HCooJj#AMp&DN4xun-rgtn31E8Xv1|grqHd4)EfjtB?Tss zQyB$j;CnwJ<<112Oyb||Wie;7D$1UPt_iXZbQCqeYtVU8TdEo}@L{;~^I!?9n|p?1 zUDFU5;Fm962k9I5U>>9M0rK3|g41Q<4`wtSv4i>F2TI$jFd&7{yrmB+GmFHr%nl43AEu1KsjpwaNKGe8SdN)+8F4_{U_=*b$<4#%-dqJu^r~VGhH?m zXI7!!!Khz3PC=p79o72V!6GQV1BW|WT}fu59*u4~>kx6)Ru|5lv|!!6QLcXgZ?c+G zDip+9;7M+{F2DMJ1FNH!a{Doy2I2i26&V(Shw|^zXAG4>`7^vSdy>j8+LTOkjxq;F z^7^(>h}2(2hDDMAJAD5>0p>v%8Xe6K z(9!G&Nx;jD8g?y%|MpEscka4U{5Wd zr(99*a~I1tP1AfH!O95SGCo_eXm5xv4z|B@yXuH)MM=ydnuzd87n`ufnU1ZPxG%K7 z-qKF^2&Pst!Cw|G6JIU(pTRtWghe2>0&)B|ckFbZ^;#^f_M&=^)nokh+i7VBSHg|J zoJPDw2siaCW)YSn0ro-z>uK!N#6x4taX{?qDAgZJH)>&-!V?!M9fcLdVzJ6Aso>pb zo%MvTiens?L9t6}TYiOK+hos(Um;|Q)^^{;mEE1GDAv6>iv&Yt%cn4J4B3e<(OuQL zi!_O|(}F^Kk_F-DBk4KW}(=bW2&8_?Hu7tcX+;(&^fAa9~xoy&M|$v zSl{%nuJ8r=#!I<|JNMu(nmvmXs+$COe9e!>B_DDZ48lf8LHN{7kM-2Hv6kK8Y&#^jU8xq~EoS{w%N zC|*#ELWDQU={eW)gXZn7YAMS2)D>ki{iB38uFsdlb$u}=o6yPj>M#wCb{lVpBnDY#DvZ#%2zO1l~>XZ>Z zgA#3&R?8a@iT7X!Tx0xXJPI>UZ>NH2>oW2AT!i>T?Pnxsch$Qdr^br`ISa&@?1QX^ zH@ZCq1k%mrC~yRb(4z2{YLGjhd^91oOf8=HMVzWxoI^^RD4zVl5s7capKjvdx^IgQ z*~XboZXuFKtThFaMZ0AjPD%$^nn%#*YK79Q;E68Z2n6PNX`_3lUAO5HhcYm68W=vK zK$0x|0B)%;shFwcIrJkk0R|6IJZg9x7#K-N5AM|g{Qo=rUwC5PlNdXFa1R+OW2e`E z=Ip~5T)R#}xUTHpixF$Pa?%h10WFe*$d*1D9W8J0J*@hv_`{KX-P`f&c{o0F8#n;g z5CnMK1zSwPj46xShVaUTcQ6jEpi(PhBE4^aj40<0eUBx$LEno+SgNGChf)%RyHu2g zB^HJjhoE05adkn79py^=+%-}+scrZFXYbwPt17O)|IH;B5lmE2Y}FpE*mwaWphZwQ z5e}Sa0x=haiY*ZWNgG0%i+~CQLzL4Hj4f8Q)}lqFE!DKe7QA3kYofI_URvX=Moa67 zp>3*Eqe25a3blOz~9bjn+2TT83{Wxk)lR?3|S4nc~yDp~u6qmiHN z_LXU;})#B=)MyVc3wPfce0oPiC zLOZHM+t?_&ZRncknnDdG6xJj@UnmVGl%v-?SG{@%9|fvj-C*hT?UfuVBGppNmfh}L zn}Qf$;`KYM!R{8>J7o6Hh)5cD?$#iHhuSV%~M4nVhk8TXhrczV#d!)?P$O%}jV{6bc@~Ko;6%e<% zNpwd@baEI=Bpw%E^P%HADHh++YaSQvaNqEM9;Sr;OgK>qXFc!buz&5W4zT)h33uq4Ul5375sSslVa2ihlw{Qg=SgqiVo~2onSqezlwvk*#SoP^32~5< z9!n=DY12zw!N5!9yKeMfe(lIK`U0bndaAT<+teyj?5oqsvJ@YAyz5hm?BPzJZ=Kde zT@7n%)Gwz_n|iL_C61P`jP4rmOt3_pS}MMD&8LQ|nm>i)G}R21jEPRpq)ODPpKf(` zPh5%UbU(p(!{DK=t^7)aNaNFck9 zMtqM*KUnPPoUz)LbZT3o%SgV0rEIFN&##I^WWUELk_TpB{12lHJbGU@@~gWg=9sNH zjS-y|p!BNR8;OB$jjQZxQ68SHSqGn%*HL_4gOHqpps=)c;345^44uqQmoZ;40%3?% zU6JU$_nCz%Zq1~J4P%wNc}5<_i5+Sg^`R$jz*DQTlI@^Tic zym`HVL1_CPf8t_RaXSV`F31t9xPxc0ibk3Gw~BxLodhpE5N#D-r9&rH(P46};$cX0 zAgj1e#SycL<F&no_$o?f+z+R@vjO%t(-hod01%xNlCU4nzwT<)=)_oNMEIWdsW zv){M&HkD!j7BOumM@#q99WW`=qX}=$k<=<{g073Xl&-USk+f->l%=s=b)z5rr6c9& z{c!cMlUI;FpPjU%17AJjbpAYDg~8nLZ?$GCe{ZYeZ(pk^KAiDR%~turY@&K+cA0MX zzN<%pu#^qncV^vomwqQf=xyv*5|R!O>spt^a6tWZD)tRu?~vtp6<6Kprx_)gX5=x3 zYc8v@2RcmMx47XCF{WE$OgF>C+AfjPd%s^&Sy$62DXJSi^I<1wy>@$!$p7&w@mev- z@rFIxIn60-#mFdOcOYfa@{)?8l5ixkDVSJUu=vbpf+Gm}Hs!-4UYF`HNwtpik(tEr z4$=3VCW+~X)R!IWyuUMp3q8<`as&`kuSX2o^A z3NDlZYakZ?dCI>sz^b6#zE#Ts) zZyw4P+$?mHR4W?{6hHP4+QQYeWIpRNjLxBK!Th+0X80oVRIBS{ zLd|Onj@GuI|EhNI!~v?>D1zy?s&z9qgV49Cy{id*tJ<>=`gCq9F7S13o#U>N%C@k~ z06KH@%!#~@r;5m{N1eraq-*vp^ z7czTIlt(Q2i;)jl@ee2go1;oIr^@2b+zXf5^e;V+L&9p+EOZL~L=5U(r-fzQ$jnEYEGqaWTM!+3Lw|S=(!Z`R2QN%)c4KgAU}45$cHl%Rvf_vg5^hc zTvFXNtm2doeI&QKk!@`%?62wFDMMQ*+Fjwg zM@%`i=s8PO3jg|N@!@fE>5JXmJjAIf@~jwfT~tE46WpXwq`ZWa6CT; zua%!_nu3LrX3^@Z)jO1@=N(Twl&9w%PtS`d)*z;ao=;l;TU8|zetZVQLvaRnmtZvN%qR7VTmdY5NeOB$?SBiG%BtCsO zNgVcBN&MsZxFlvq+H}f}^QP=C45;hLB}T@nV_Qre>$n(`IjBBdSI~A<+JdyJ)4mzI zyGJWm5anv-l3DJU6Fq7+n!;MJxnDsHAis=ui2+2S%FIQ*7pwXUN>)14BS_)t0ZLLl z=z_Ao>M1CKR|UnDO>U#nG|rKNEKn;OlDUiBm##3zGwI?M)3fAQrP!4PSyJ}qZHAKd zlwc4^#H1h+@0muo}iO8nW%NYr!k^7`&W}1NV{b1h}Lq`x7D#~ z$$@xf1z6-}GCrTj{zUk*v-^s$M!NJK5k5?x2ljsC_J=7-Zo?e8nA;AKOIDVX9kGvc z-4V;ZN??=wZ5EWkqIf|R{oWIwkaUwiRbg_JwEk{NVt`z|e3s;D??AyNhielWzasS} zLpMAUakRD+c_lQ+`;TalI=OF`EboyjLv_*X{Io`!ek#&=M$bszi2&g3M>Gu=D$yjw z3TccgBw6!w#HFVWMJibYqLoB%w~~I5+_a{}*1t^nTmYW>r^(f#<(k^}UVZaEMGC^B zmq^?tR zjEVBr20anx0X371^xR8bgipZ{_O3XyLVn|4i^$Nk~6>Ifm&2GCinj^)IY7I`~LabOP}u?a5<{ zL1;^)ey8qf8q;yS4rufnn0Z-kwT05tk_yN+ z88OkS285B;~M=-WIi zBiH_Y1_|u9lE}@zC~2(JhxK-88xp%2lp@lXZA#Upi(JddZcxiJ7B_S59Hg=-*QV`U zL%o(-Lyx!72|9;YFsQJ-b}43M##M(J+3w}PN}x zu@Beh#>VfhxIyk^tzP}u@U_K6XevQIkNxTRr(bn+yo>B?57+J1mO=KQ(Kc28SoFiR zO$TMRKy=UT%8_SPeMdnd<@C~Gr6Mv)+H@pc2-3nS%NunrOnO#G0@o}UAXST1su%!2 zR+mN7DeA70Rd@cERDz5pUN&HYswYTN<-%Cei|xuJMsKBX_@xvx`ztZUoXIm$d1fCx zU2wht0#7rwkg^7yTFB+=t)jr~XY*I48ZeFSJ-PbMPWK{pb3?4YR@8HKXnUKMNmS`A z#S@B33%yV75ml<*fT|lMFpVFHkb5`V+#aIa&mV;L7h>)btD{30C9aUq3mn>a;KI

%WKW`@A1i`7IrT2stV|5q;kgliOxbF7-mvW)yPd z-aDm+#G2gKQk7!0#wrQW8GZB$_ zl+w(4a(7~cnM6sRGbBVx`y!zO?OjU2Gx>SIO?p3zT#cAtx*Y0&>$@ah_dK3Z@)(e@ zu3k?#t9h_+o!r`9dB}*^${`VjYZ=fSB2>M0W!ql z4p6TSObxXqZR+WJdnh8RY>VW*8IkSgZ$?5r`ev_CkFr_6r`$;`CPhz!BE)DdG)MOj zp+KTIE7HZY7{9oHD9XRhhsC264vj?@%=4;~c~*56r7^SAxL3+SAs8SObEdjwRHYR7Cq_x zs1t?E`HLBQ*POGbM4QF7;-O2eY;>xTZB$#fG-liC&Y$~3t$j*D2{J8$!SZBVE^+O| z4s8hSYYO#Ntg0m55M+Y^rKG z#D-@rGs!s*W4z;Rc7mb#uzl( zG9%MfTP4?Pn3bqVz5MVjiS#oVYV&<;sg4cV<}P#j?rzXSYE;WyQ8UJAcc`8}E6sr;U7?jz?T z0CXqbyx}G%Wt5*Xe#4x$m1#%9Z&AVG;Gc;ghO_9K5T#Zh_`ER_v3=8Q={H@3#YuT@?vIHJ%a zMyO+SZC(#yM0MGnL`Fox<&DaI&ziU8nP$9HBLCMYV_2HBQqanKYEZTM=nK+Uol8nf zI+yh--4cZS63rryohr}-b^220nEp*-b=MJGnu~v{J%jd!?x;ND6_o}?Z)YjTC|Mp- zpfidxAS3vaZvGe9i8Q)B*1Ck(e}M7~9V``e^b0&wVwc!$1p2H*@QmtMkjtvOP)d4* zoU}EhUucppGZBT9nMytqcypvmQ71d*OyYPPA&>3lnon|q{!4Ig$?FB?H5@!icAEE) zJ95$#&B7Kk3EDn6#wuIm*gEL(bhh#2d?!UoYN)y(S4%B{y>ud70{rM$6<~e)KZwCe z!RtC&?b!)k7PExok7P)a@UVx0#Ux3mVTfhrR`Z^$AT*T~31Xd&w4>7H8Ct>Wn#z91 zLU{=T>g+OP8HO1i2FZfSPK^1hhS?Z0mBmT)q)4!QR6!MG_3Bou;w0lyW*$^Pd99Hw zDS~ER`0RX6c-{VaBu4HjjoWD-mCu^i$lEaYlnR(%Mu}^hz3;Rt*R<$&iewbJrd7Wa zQf+X=I8nIju2D%hKZw+PI$DB69UZ-fXRV{*I(|d0AjW>UmSl z3>K4H<*Q06@>d4JdkV^gDBC#aVctr|KwGlBxOn-BqVS%QrGet2l7av{ZA1yHvx(4-$A`@{q zvNDxD0|6p^CU}wAgl^*9?dI-Lox6#|n@CC%*_v8evbbOgd3v;9aiD~4a-`lE?>$8( zy6_V#Of=*S`bx=N0Z}o%H;Fu|JCFv7Ymyt+9yhKhhzn_bM(J#N09(E0j0aitQTwu3uo>8Y*lO#T=?my7oJ6h+C<~`5er*mN}`qgam%hmKpMqT=~nMT_3nmS!sgh4 zNx$w297l?2-ov#1-m$`Ck|N)fHlr7`TTOFB@<@T6Dqd4 z|565}KJ`juB8-oCsA}`gSW2QX1EO`SvqJ<&?_wzXn<_Kf5gsu`6UGqcVB%l8FM^oqkauvZwVeIM{<4$1gtB{@zGEzaBPeZ(;YgU(U zq!?u$>~O*nZ5=oq-3f1HY}OKCW0IB^Ig*l-iuZg>IJ)O8NfYgA!%vG`b1$7Oef>mT z!l@B572*34OcBWEo)~x6G9@7OR~zHjlT@x@R{3kA7PVOw%n349N)Fd19IyttTY%N* zedM1vNRYAV#n;7zst>Ddg-cQ+dT466%=h<6)Ez2>rfBI&B#Pa7ZlaLAYI`vcTnZocqXoRgP)aJnSeV1g6p|D2nfy51=8UVxv0GJIJ&S`a<1CE`{?7a zbC3HT5-aDJjS$8&3MHPu9P_+Vd6tD)D{1{aM9$NZN$Y3pr{PKKXYiyW?PM5h!WpB( zd6}s@6KQHJoK+@~jrb=KM^s!Of7f2f-(eM}%HOr)_&a!QB7dz_NgZEdvx!=E8oXju z2ZPz2Vih}%8lFbAys(or$J6~t>NWAMOIa%9(EZOw8W3k9y@%ESStinx@ zWv^r%!sEQG*Na*tI#IU8?jm?g2GqMKLpbzzE}hwLnc38`{Ytkh+gCYYba9My5USxD|U)qD-KV+;=xbw?5pGE>ko zOo{a|bCU*!FyR~3vd(c#s9Cf@HqbmhJV}NdB953gR!%a~NeN5)qtr1VsnpA|kUnAzh zO^vb&=4uOqcZ7J>r*7!C9OVjeO`^(hW5?B>5kMU)i8?R0QsB(`4cBqYgby+~N_wzQ zkElFeB~s*emN)57q~I<3DhjF0m~?pwpgiHtSr+h`rTu? z4Zz=K-6O2cYm8)#A}Xe!;HQj&)J2S7Q!qf75@;I@$rzcUJdGbHlbW|g$6d=Q)3}}C z$fYSAQfS({wCj52jo<2djB45VA@?ba8Y_8W`QprkxaEt5n7!?NZQgcc^R~N_l4A4t zWg0$W5gTtNC4Dx}HFEc$<9HJzM?xj7P9=X?m1U#3Nk~<{3hkNv%GztAXL=u9&}*-? zvcOFV{E4iz&%i(WPm3iwnov|_6y8LLMickw_dj;^XU>tLKgv*w{yZHCJ=T%t^&L}| z#T0o=Szbp`m4Y~0e67)oDY7tBi89V#!?U5So9uJDF* zw;R%C2}yMPGea6wd4bX?-Tz_n<2dI@OqSdOUuL6+R?3!8@0asX5p?!2^f=YkhZFE*H(=C31?CMnrQZsYI5@6?q)K=<%bX|2iReOjL=KD+$-c(`BK9Q}2GJ|M1ciD|>f{ zv5`PnK{0)HDJTDWN~2DV9^R4*Qi>Q=(a?#Oi5RmJQ+uTGyo*&RprJq}PHq+`7%T$g|ZG4Jw zb>Pw&Q?bkYO%J;7Ie#8|e+#=RjQ<~b-`A~o-_xD2o(a9`@U*U$UG!bV*1DRdNcGgV z_7r>!>KNltZaCVd3>6B$BuiARkyWc-mCc9*YN=^4omG}@APlNJP7{u;SKpR4eK|G! z^Uo)sG$Pt)Y=;-W+G>NNs-vu#4NkiGM#5KVs8u_qG&NE6TV#(!t+gTaVb$sn)iJ08 z=%m%b(WwvBA*lmH0^VE-9eg203KCTzCpE#dxM*cU1IGQtkTxL5ibo`>j;Av@tj}|&NcIE7qx((q^VKQ0iIjU za|+KQoCf@04wc=LXQ?Tj=6#UoE}pAY_;=~25s}c=>eX9EB;EWIdaSjft)3;vsVif8 zcP`Ja-Vp**Pl=T>AtuS+(4ZyXEQ2L}({Sm&==Sy;73y6Sf;+oQ2HaB-{cxNLhlERi zq&6gss%s$!026sF4D43-Mqvg`{Vy))^+5{&oCbrtp)f7qMRi~bYy zKL|T6-7;v>IgE)$4wFev-Hyx|1Nh+nxHTikuaLcASMKc?GmtMMvB?rgY5qomx zb~lykXr|C4@o1EnR^Q%DJte-Wp)G4o@>Xkcp3Qdl(6(C7t)1@n6P1)Molnm$6f&y6 zPUU2DVm}4r=q%|-XsXm(^2$uiLzMs6HKF}SnEIJ%3Ww#p3-JXLi}{;!8(C<3yG?2M z^S(|O=>LJdf4v{oFeyMa&P{l^!m^xvAEo?$R=!jIPvzTbK{r$M=ru-2x0h?<+sogT zBOlXV{(@&poUIbVLg{6Rs)e>YUs`Z0TENid;}_7SB&3S{0e)4*q#+P~4;^`g8doH! zbq-xcKGAmYe-O{2L&QU@nT+zGR>!>84Y{=g}p)(00NYtEsYc!J*EJQB9kkpjt*x7thSvd$$TZ!%}ID znx%!3?@HuFYco~tMGG>-E}znuDkHQeQHchM=o9?-f1h(F0d{ zsH)pX`0l5FO}8-`u9lhb`uNosZ}N0A*({rpMN?Y2GuVuyqwQ5%()0mU`%5Z9QMC>T z?KRYI=cuO1J6VzOiSEM?xY?54;OS)P18mT;QlvlPX}>KoUn0Fukqqt8G1AHtp7bUL zRpv3DHhAqE-o!DhEt2vwKDH-oD;w~>g`?vf)>9Xl%4GNh|Ls->p4wMxOQ9netRqfX*G{?f3D(Z()#~unNlh;(ZDgcmT)9)!}@>?;}*i& z5MX9sg()AlQzBChqoV20S`xiWt2fc7G*gQ+)vUYHGb*+6wjk6cR_(tf#;OgEy_Xsv zy*B)L#2>C*y~`AVYzA)<;h*(yEqqR!4XT`C4%)TW%JvHNHF6}OhSrTJS!|u*$y#-a zV~e%}*K!>R>1Z^{-$?y!WV?MSJExh)_SqRa!R$0v6-AV`v%^$4Rcn;4Num<|sRG1C zP#M)M;cGr)V7B_nscvJPbdXY?pN=I{uPnBzI9f>@kt=;}l{oI%@5aFyHFj}TzBWK0 z(m`)ifl$>{LOb!f2(L^M1A2r9C^4@7L_8m z6#{)`QPg*~RRtZERCA+J<{I&cKBuz#LcWGBR?$&wx05Z0T^2?{e78KWzBaTm^2`&m z;t;);t`cmA7lPU5?Wed~LQ06niVHnL8$)%){`X%k|_=InN2kS6Vo)+>{$r7Lz zp1Ni3@9!cO=VD5%gwFADiGZ77jFd-IM~`G;XayTT)Ejh%*z@rHs?@&5=p^zY<7-3B zlC(9bV~y+?edOCxo;mV_E1b0P?Vh?!oLs6= zqjW}wwsn;ab2B4*^{0fsp(1HgEmXASLt^0m2fX`l44(C`ZtqOly8Vq(s*%U%iC#q> z&Qfq&80f2x@>XmqNf7TC5l8jnO1h?4eAeA239VH>&_Pw?95|NJIjoTUCH~iTB{PXw z%9T;t_=N8lQLeL;{pYFj;;`0-+%%;Rc{!pFPGV&pBH@#^{>r+VpgC#@b9i@7C^t8K z_AEq_XgIN%NIF)S|19(uWM?HN{CTD_W$#h1z7wYmJ|vVZ;#syIolc6Ww%UzRs}dT#oh z*(CfKHWasSm2#E-&m-BPoKW`MIqBg@GSwt8+iG8LXiZjb+U(2auCR^@@yk7eb7q9p z@5RJ=L?vdhYmh7~c3G>2ccg%WD~{D>zRAi;&(eNT2;t4j%gj=|Df;)^w2Zl`UNYCC z-}q~4N8CYxfV8kt+LSi4b)_lPMM7D}U>#OB#L*9A&JL|Bdg=GSx%bxa-uDB8p4|KC zQG2_-64@JRIkTBP?(0?`*pBx#Q>A%@A$er^QsH(!*Ne4x>g8z=y!CR*rHY;ixZQ7%28 zh@Sb1NY6Zup5vo4SJCF@pXj4cre-c)`(>3X=@hBiQCW61V|2-H4?5=amU?*JWQPos zsr`gTm_B`Uq-R7|&Av)W5&bfqb`hc!>F+$(P~4v~)y0BAje6Bt`M#sxfYXW`%G2p`Vr=!k z+ROuLO|h~?B2VMHm849zHbg?vC&Vg7Us9C{Es&0alP0+=PtE-t1)H>Wk!1C$qb}E~ z@^YWvA3|cysr62G(jqpsq}qLR9yV2!G=v!)Eu?@r(%5R?4yra1%mThg=-fCELwgD^KUK zjV>t@8hWye)isp}#)*-^dh$wkSBTD1L!2_%(;pi_z(VT$Gg_%MjICzDy!}lET625iz~>rmh2SLHCJCzQrwUsxv{! zD^%_LJ(}0abZ5sX9jb`Ii3rp;2gnejn*9KfsBmoEPTKS(Ud0X5>m}oQnBI3Jv=aa1 zeHWd4_2}5p#->m`B(9v=EMjd6ZQ;jSB-AWF!4`w92HOlq4R#7Ph3=y6SREIT!bY-7 zk3g@*Nm=u(WF~}^K7?vm;o2qnx@*l7>QPoSH|i%=9JkkowhwCbcQ9VsCuSzp%w$1z zBgY)wrgXO^v?zkNOS4rITKf=g)`Ye`gc41N_95hHf|O1(lXiTmgO4(-ZsGA9{n*N* zTusVbPC2YsUpkUXowWWa{g&$>)?4x@vzOJ4L!0CWQWUG`2(w*TOtrLWs#$D#Q_s0J zbOZ^YK_*yb3#PSZEJ@{tsgRhfGoYkAJ4!fTEt1MM$av8u(=OV`i&*-(JV(DW1?$g4(xzWP zrC9WC|4uzdepsb8spb~L$tcFTXh0p2=&B6|gh%axQF{N5;&ArWTq}Z6e%fj)rNot= z$9;aX#gEptHr0gsb**n|2T;SLnvt|A@zQgLvLXw&taaXFW!6dt7fyU*GLvn4+F1!Et~?RUjVT)E&J3)0C{@Hmh%aQ*A1|?$!8I zB?~jMD^j@={#`~>c6lv{vSsXo_P1soSfiL3396LJc-7nDHTnF6`}OlvpPww&8}xXb zG7JX$9f7s7Tgc}ve0bin4&_bF=d`xV2?nQQp;U}CcpAay#U{2VD^IWRD78hDEyX#% zrSy<`^(KUvnRqjd-4( zP1hogrlbLAaad^`+al5#6hfAtAXjG%s+XvodQVF$_hy*}R9J$({3M!y%v)(rjCId@ zWzchx&;DsEK>EEJb2oB6JdYfi}iUp z#8rj*vO`9614Tgz$lh$WP>YgvoWebE6lbi{Bl~@v2JJEA{n*sdwl%Li-b>@X%U&0; z@Qoc4q%-6VN%m$bHS-5vtBs_-s8HhW)9Hfi!cgN456QKECIK6eISYKTexgo&MtpK) ze^qT_{9DPB?2dC|o8)v0@!zR+%Z+LWfl|b)(SginI!CQ?xe=vmS905Er(U|DNna{e zi`5!@<6|{yrSDF}Hyvs1yV>=9q4BM<0r$2)p=S~g&s+4fYJWEB=Pr3)#WTyPF&&Sr z-Y-K?))#1MGg~rH?2JfeV^gTpDM}fM$D}=mY&%8Si6lFxhW1NQD(~$FNRn6&FNYEz zrFo$JAw`ujb1XbvplbHK%SWJdt>mlTj&Nj4^v!(gxkcvA&5c?PsZsT;JLN`7e-uic zxRQpoy}A*%kp@g(UUGQQbLbeJ{n1MPTy2sI!z43)ZPFQH>uJ))@if8JJ${TlTmjt~E273~3x`=LR1NPgm#CJc8)HAmXp`f377K)WI6uV*p)t-+ zu|ueu^K&6T(LU#AAwN57Ya}hIdrfKlUQ2}=V$=hQa^)*1iqDTD=cwyv;(&fST|Y_q zX$q|uWorM3wNcsYCF?ueYeVaO{*rP6OLYJ45DGUtW)4Gf331?c#eeX`L@8+ z(8i>V(yqp*mPFB*Z4@2b=*xyvBR0!@`+f44x52NeWZGzIAI}88K?NTPRkg1}#I>O+ zUx0mLa)cnYi!5W+{0xVb*L-?(CdK}6l+-vUTSY~vni{H4+Ek8m>4L0Yy@BRof@)iJ zi95UvZb2-Ny?*F~*$5cgUPi*!x0~ai+x5!&ZEttmJgsR&eO>K|3rmHA6#S~C3rv-! z5I(y!(^YBu1Nonp=K9Z5n(N)teB{ujdDx}ae}TzHWLbp#rWX9x!&igQR!Ry9Yh852 zFY07!woeVFh>fB4QzBE9F-h9g%`GL4L6A8fr?8x$FypFv#=ke(Lc;YHEYj>(C&TC@ z&|i9=TLrc#`EUH(6)Tqf!!06mG(VHv_$8{tkuo~QCsCXwpjgi0ebWCMss znLJl+HRO<%kaj~GUTodr)s7oo(R7r>D^8mU4AXYl`R_mL>U2S~*k?3O$$>)>u7z21 zQ+ysB{fK|>Q46IwR`s&=+>^4Nds6<4;M5RTcZZmkN~HId_>>6di+^88;0p z@P!1vkiZub_(B3-NZ<QtYu3VTj}yAf83ID7h4(UmRlLT&dlJ)vWe#w%Adv7^qDz`Ez`=JHN#4m zKWQ^(SQ%M4I9_JVu%>5*aWjy0x^;P0nw1&K4Q1z8GiIb&S-9DAW{0fl;ZUZPHY;T1 zW~WW(=bYKoL$j^Sw45A^V=!5B(r4#dGc)E~nFV!*b!mu4EA7%bb74r&#DB(|>6fdg zw7H>d2`4jsc6w$W2}ql#FgtCwdOHvH3Df6fW?3`SXU?%Q|>=VZvc?7R&1YDOqCZT1X# zlQSnTd%AiT%1qA{K}b+(@-$l>r{`tsP_D>J%Sg|iFDx7)%2T1u$(t3P9mq%ICnF89 zijPavre8iIdrp?Hr_GW#q1iL8wnD`P*XFBAHKSlze#v4hEY%>((Znk%^NWirR#_PZ zB}*#`tr@6UK}A8CHB%IQZb9+#MM4!GDoeSQQ;}a$VC584REWl97f5}fzRnyslc(in zqWt^|@GrZdqO7RkTD%2H3My7CFZ)hlaehU9VEp*;LXP`qrIq9tuPQGpr}8eXED4O| zK)q$Hf3e&CKJFe|1MUgj3%Iv%E<*vgvo98gvE$B5Rcw|7K7IKz?yHyR3s)^J%dadh zT2#)B=YhiIm1P0t)g-}MarQM58UN%>Zdraw`4aB27gnTHSzJ*r_oGu~3;HHL#utlk z1tKa7d{+y$ZXuhl$i4by1(>CZz7aTyR1sa7mOUFynG(oZRgNKxb$O@48H2{)>b*U7Tt{V&U3g?#(4l~?3nQ(Q2gu55_Fz!X%KHSH+;cUKd$9;*- z`FXgNxN3Hp{}A^W?p@q%?7@5)*N)5Mn9g@_O}Ji;SsnzB2gl=P;1=Ol;hJ!-<6h(t z;NNkd;6`#@^HkjVxOCjrxbNa_#{C%AfZK~Z??AWx68I5rEzb|*CUGLZ64!`(5qHu@ z-F61RD~_ARHSurp>CgUL@+AHKalU=Hhpz&?%_oPiIJd{X>bxHNU(lXB zKgPF!Fp|I7W3R(Kf-C=4kG*MOkNpbn_52?DxNCas4BXFggBSPM!wb0H4|m;?9{Y#5 zy|`1C_SoMnjglVwsL~$$&)-D`W#nf? z%sDjY-LE|K!tx$_a%GSG8{D_A?XlZ%dk9BdGwueD+hX4B1dVwx&^hhiGd{gx^D*yT z^6QhP&42m*%P*O-G4c;2p={3Ktpng9;nAQ5$nU9aU zSHIuzl)MjoYwO@AHGOuly7}20|yI95Zf4ZuhB2ia-7(2NhVSYYZ+7_WbNW zFJ)d6oOb=F2WP!=-FnTpwZhPE3BGp2f-j%-%pFcTsx-gzcU17pMORMWb;8|E24^{x z;hQfjJ-2pyP~#Spj&y@32IrSuJST0{vB9JNe#YqQ|IqQohj(7|%)f?w^2ASmv-9-Q z|9pGe6+ikz`oEJZpQ!ui!&^Uorr{C^cm1okr`3PRhs<#Iu!9+vfYUpj#On&ynm8<2+CqZ|Lf0bYVd#j4~>RLu>)gNH z_oJt`o*Eo>?5Jtay!qa=v2-A&1XLqMhl2KvQN&{T?94dY!Ns)K%T-5P^%G3P>;Y$t zpj*I2h502*3j!Ah#*Uw~gwL6j1v2DwE~;bWVe&kF7XNJd^vvP#OUoP3U*hQ}{^42* zMxN@&MD_1)u6&J;pusAGmSYce{mhy+Zu&_b?_TgFQ;ze+zegV(u2}gP`lSw~tilQ$ zIeerwoLtGdar*VMFSk}yxZU~T!+kya;dI<4o>v|id)@?uY6SvQVf1zL<2*nnZ2i*G zzRfs5CBf(0gnB5TmqDZqIsyTAARz%c;poJ9lGtxxGMr`Plf#fkC+-3=AxGcov-b^& z2(#u~8Om0A#E)<&ZHCqYOS3Ck#6=Wv{-usjH6#f~k5>Z19th-Qg+hcRf^-K#eWP~+ zK3_W69^vaUZ~|8uAsg<9$qDJaN#ie|q!cS75_j+vD@x_T9WA-J7dE zVTOe{su;{mQAa&^94?4Q>nhKX&>2O#Ih!oXtR>)#0^L-PQ$(fd-r*wpHax&!5S0jA znwN38Q`CZE$Bm!BEdVb4%CwA(IC`p=E|npUuK8zW%(*lzqrdPeO~NBvT2M z;(Az|=tN`8@PBw7Kf0Vp2J**6SL-sO?(Uw>GUzblarV26oc}h2x20!uRbPCaHN(K$jdQ&@q`?vqGCbi&88ZpF{?Er7Jp9e zoGjIRP!9dk#lED^&ZF`##)nfNF@BMWh(+pAe^fP>rWI)bA2L(cKd+jVLvPf?RUk7j zBR4%OBV9~|)IFv5#s&vM^Rk%2o2|;+q0LRtnLa0n`72Lqp;2cEGkxaFyqxs8UaCW* zEt#G!)n!(8n&ZKtuCMoEXB#tdY6RFn{v{7H9SdNvB>Av!eom8WntjTS)94GyOnpB2hU|Ar?)BuR3w zXB=bclqaR$IeD3xY1uwGYl5DR?1zKt#~g{qOHx72Os7?g`=aH2<#8d_&y4LX`>6Kum6G z{5hgLc<_~#?PpwZQBZlqq+({GkxCi;G@cJuHHM-%-*SCA^YyR46uQ%>~ zuo?G0ZUnUPIPv4Sbe`AYD5G*_Um12vdC^|{13$QDje8yJ!1dsQ@AcYO;LgRZ!+jq& z5_byjr?{QC-{YRgy^f3GKEe%+_S(nd0=V(Gi##qizp7g-{d>a1iAsH>+K;qO!%bne zXS%H2SagW38ENyav`mX-q&R;0uBRtUx)eme%{aVKzv+AeRQh|*xc9Obt_cw|73&Cd_#))ZK>rVs&j1oH7ASZDmA>aq!F;BXJg60XuwrQX;R}Cue|G8 zpS1>dmZiGxmh{~9;-++KE$I(4`lWrcr2A>9ro~zBr1NS?_mJe#@M|ltm%YTWvoObU zn^E4cjZRRAB$%hIsog?3vSZyw4{$|Ne9J}ew`F=x5A<vw zE{{74`h1)U*GZS<)T8;q`JKled(;W*r+sr!)8^xEy)@{=Z?MYw-EV%ei_n!koOwPc z-O8T7IbG=d8x{Oy@aQaDi~giM-_DYH{8^l`?<)iMOlH z`;&fF^v=@@-c##T^nQZoebE0tu0Lft{ip%glT0w3(|rAK-s_8~soyv$~IBVc=!p?4(0GojVSE{`#W)o0cApAT; zIPU%%S=y4_d4bt_n@@S)U=9_I_C2?ttejyEL-X-t7xxo@`-&7XA@X%L`UL1y@GreY zw$IFvtwl4<79F-2`TnV~lSoAT&#qi{O+i^;`I3OM+pyf{nICG(sIPx_Q(`>B0RCm` zV!7<-iT^i%e-Yy6@~<}G#0Spr0m3(%Z~8L${5u1Nz|7@k%PNc2hOIajzdV;O&Myw= zy=8$+mMDw+WZCCGrhmCb%L>@WRN9Y!S;la=bh*X&(iSbMEX!ZCs$V`?UQp%i=0h9I zjG|>lYI~I@FXWqMY67Zy8y+rNKjPA@Q{Xvvbw@}gK|KL1XQWdCAOX>k!I&yxfF=<}bu zyh7?RHB083`g(>%`7)0ct!&y@xb=xhg;HkKbv<#r_vL1;uJt zq5myxvPZ(l=6m6?>9>~NuW_l_^%%%sA{#GRTL`fAluBjjdG5Z*K0X2|vgtYy+p8f4 z;Y=qRq&z_5Um~hl$d-yCc7iTen`qgtxww*zmVs+l1@hS)Dx#xB8H-ws9jo=D*yyBen4V${ z{7Y#vwV@1OV^#LcRkg>U7+$qes^4E;-r*yLoBp{}G5(FcAa(o&sVuti9wpV4L@TXW zsfxk^XD9j;Q@~EX1XVj67&`$CD|1Y9KgK~x-pi+I8q@S@N4&8l7$9nw-isj&{rF!| zRI#WK10tJgW7W}=t4_KO*{Qc!8uMa#Nk!T6V(~hFzX}?=vH)AwKEq#GC0p8&RBYq7 z(`nH5)0}=Gm12BUk&Sn@o|~=Yl_k#RaY>K6Z+mv1&Dx$IV%~Iy_!|pff{A&MedZ?H zUN3GuW`B5W=es{7Eg$2_w~bHdNm+IT;D)EPmh^aczQ=-$`5TK!7V8ax*dGaIKptOy zOj3NoJExUsKa}E=9-}YlNTKBZ8jfMCh*|$QYW_7G9*R-Nrk=NW%Ggx&SpFz+#{HSy zXT8v@_dVgP`#B8#jhCy|k54o7phmTS*BRfdd0vNKtsA7zv^Ye=vWJx$X0?UGDzdtg zKF67-R|_xf8<@fNztCK!?A?U|S$lVuJDjiT=*1e@W8yhI#Ign(9eBm27>*ptlML=G z)k5l3me~0*H4M^AC2EC4J}JW~ri-nMF0n4U*t&!V>k=zH2QRt4BTMu6XQ>qJx*<%Ly

  • HmZtJ#Fz_WhH-G|^Wz(Vl$+q>-z;OslP?d@RBkGkzfgXuqkU*2zpADnUz{NP();wZ~{_g?tH@K50fTfsu`oNe%f zo#1xxq5I$mGai5+>;>hs(l>60AB=)w@P?nk4<`Q{e()M_J9r=13?BOn_`#`Q;_=J| zf+^q$JKzWZ3l@Us{}O&M8{7_F{%iQb%HO~bX6%Ij1myTT_`zR14nO!Gun_#pUiiUN zpMoDe_?ZiZN5RA~mX-Af&d`AGzrO{+WVHjs0z>5-l?0MiS&Y;`?&f^@)UEqH3G4T529{WwOh%+ZWpqx25 z=}VNuaXt1$;4z#xSpaSaZvYn`4?lP;=S?01Uj*L-BV*tPQ#pfj(w8mkpWsDc5@${p zfIk`AV^@JkoY7-%1#7`ZaM#y3mjO;n;S9h@lpp6#0^l#t?y-a5mE(HsgK0yUJTy&jUIbFc>h&B_BL?F)tn&#=X3TY3hv?D%ZRU7))}06 zIR})pFB#yrMVxH`M{y2jBe)6N0XA?R=6Ucg&cW;lUzT$)0n1t|=U>3N%i#yl;5cZVB+08_zltb-ri0hWR`SPy332tW81*aA+hh9A5UO#Z56Jp!hJAAnil z8SCK(zX8^R-vb-Khrt%G4eSJaz~s{{YfKIN;3O~$TmY7WH-q)yufYcJ1+WGD1ndM) zzX^WEmO(HTTmWW)>%mg+A+R2N9c%y-ZiXK`73>5vz~nQqgJ3H7127AG2rLEv0M>&a zfeqj(8{h{o0z1J%F!^hi^#+&w3Z-H6hG2e$D zyc(`2qar(5`@~;EiAwxC<-=-v{f#{LS!#4}dM;$+y7|W`fD% zENdf}3jP7i0=vOd@a!ML56%Z0!1Z7YxC872-v*O8UYT?|{NOY&3tSGCg8u;P!E?62 z5B?Br0T+e(;eF_`&!84L|s$1Mq{RK7k(`-3|ZOu?IcygU1f)wX?v1>d+kw^@pojeJqi5g@LoF?yz1y)y8=Az*j{@xSb7|L z)xb5Qd+k@iNhkK&2f&|v3H}Q$>$b1J4=(;H{NU)Zz4l6Q(HXt=7Vy5Wu}2O(Ii=Tb z0~d_zwb`I%O*psLJ{`PvVy`^|TsEoKUJO=FW?vpSVrs9w4gAU_z4p`KpkS}P4@^#D zkK9!H7t`SfCxm+KFnCh9*DeOXeL49CCufjvaBL>|2Di;2-{9A>d+p?lXn%5g?NqQM z54nNQ%|mYBM_b?re|ZP|VCvoQgG;x<4|Y5N|HbIvFUdFf`fqyedEiZZ$T#@Sr^q*W zOLMRN7U|^EL84jef)%X!N3V2TP zK|2hVA9K(y1Y1TOv^RinoB}_1@~QBH|2iFh@c6UfzZ82t5q@yqh46#Bz(R1*4EVvx z8SsN2&4wR*D2u%W;8RzypJ2LWU6FmzP6eyLEbtw$6r7WD(5?q-zy|OSxd-i5Fd>h< zRp2ym%na#A9keHdZ3_?D^S~eHAGBA3M-?2jw}8ck2kl+pzrj}U(<1o6i;Ce7F)p|k ze(=_n@Pi*#!4HnT5q>bG8h-E_?EPv5-`fB`nEE~VXVMP_CxdBq@Pqe%AAWHD58(&5 zfxEz4Z-*cJFW3eC><;*6Q7`U4FAv&x zfyLls;M?Gv;Ij`Nw0pppA7bCcWz_Fq9kee3|JHcWUH}ex>Y#lCxDMP3?)v>fyAgbx zy-980ui1xWU2a+D{*k>b;BoA634+J6w`C!C6MI^!zy<6p*$Upso{~oJe)es&fyb~% z!^)8Q13%dCI{e_YH{b`)dJ}#y?XU2Izj_;fF!VS0!AJiNe#-|2)OOg#WU_{WdopG~=R!w>$v7k==x!F-Sz95&Rp*Ms*b*!DK?mLqKY zX>jpTT!#Q&F~YWo&OyJD8SjIg;0$oqv9?_ZJ_>FC-#N~Md6v7WqEJAMJ55V|` zAAFa5gI94Yeqt{20#m@rmE;?&0t>+(tUzvHGoO3g4t{SHas$_`fgikg9sGIN!5iTR z-vYy6PBr}C2IgcofS29`KX?K2D$U?)U=;l6Civ&lAGsBN@E>3peC7M_gNts1A3XR& z_`!eP4nH{j4*0;0LdM2!8O<2KYhwH%fyw=(=oc(8}aNUmkHpV*Mb- zKD<9kXmk0f@$ul%$uo~0b6L_+D-x@$X+=<9s+l`efJ@29Tsw)gw!e{<=t z@cxLJZu@uS!wrAPgM-9_#D4&H_f6e)!eB4G$EA;guX+Rbgg|!r2XA!4p9H<@5cFK= z%Oc(O1TTM)Vps83KwoxNey2;%h5kqA3EuDr_qg;5 z=)c~?2LgQjSG)Ah(7T}5`{*~j^qtTPZ|Sykee}y+`YX`yg8sCR{-{eo06kdG-9|q8 zZ(aJRA+&AKf9y^Fkj<`qCP82D{cihLKK|`4e=hWYLa*`BZ*b`q(6fJVi2Os}0)4ZO zzt-j734O%of$6V6uY!(=jg|l4beI1C^j|}t?xkO+$Vxv)4YjO4Lto~l4_@r@PlA3L zbGc`F=?i20xzNvseu|f#7o%4|KNI>MFMaUCZupy_H$nfakN#(uz7u*4bH_n1eMKz% zSD@bq{bVmaH%31I{a)ywfU)|~IaGXzeHfL1t!3`{EMNJb8Y_S3HOxW3>J5MJ3vT*y zpLzSahR8W)-Z>@8TwWCciVIcWBjXC@G5;fp|68J-WUE@ zH~d$i-@@GVVDvl||0izx4?zDebJ1`4=&uZR;vYr2#y?2?^5y?>mwyuUYaZ&hi@fO@ ztQ8=@yIknMfPR}deWB_hLvB_{w8YO!{G7!6_MJ!Y!)XJ=&&DHEM#axv`1$@L-S&H+ z&(CX0R7w_&(DIo7F2sxLXYjXF7*dvP(0>fQ+DF&QE_6%cf3n;DsxPl!a`PI1K7@Jo zr+oa6xZww(-w*wlN8!QA$B=DDiH88M7DAu+r*3<#R0fA0CZ8pzxM8fv&!&HN+aId*vWuoD-8nGk*Sipxb^M|86{k|Ki3Gg}(E@1KW&5+TN6py6szh z{5QG$DbR0+{x2W>?=C$Iz2M_+`)pqxPIKj02)(px;5KOk^gBM`UMwH~*)IQf=)e4w z`^0?lZ*t>rhJJcCcYOKizj5hN=#9`H^wIBg>4`@&U)3{kn~(zipU`*t_#bll!_aGb zyX^;j^t)YpA@mUkyY0t)^qnq!1N5IkKh0alLrzo$9Drv#^j{2RzKFW(mao*88x!0x zp2yD#!+Qp-3;Use3;KFr8m@QwM+|2S4t<=j3{H2;;2h{JN3mw(<1cslGoYU{qQ`#L zXIC0syHX7O&qp)Y<>Pd9d(}|ZW>de55I6=9m;}U0{v4T|9@QmQt06+ z%zygmOI> zS6-A1Mxj3ym-N`9y>c2dLJ28Aypy081$*oQFI~d8GA74)`1$#z1J}is&_94aP+i;t zeeU#u<+uxa>WqQq*b2Q0`gJ}zeb<#!7xdSmpXQarkP}^99dk5oPKb3xAN_AGeKPdz zvwCd#DwJ!FhK&FJ+I#cpsH!Y__>llI38=JVTBCwOix?(FL=7`2Lzom9OhQr#fedA; z!eB>@f-_=N98lBHpL_Ow^s!lO zD>?P{KKI;n&mG@=LwWpk@c$Wu>yiO}jmIwnfA(2;pI~4O_NG~bNsMm;pEMEs;eP*z zE=f*$(GP~j*}bRC4oFH^wxQe;ET_}wb(%VnO^#oE?6ha zHCw+AI$WCkhk$<%{NO+t`+8-Z1-{|D#)Rj&<>1H8Xmoe^?I-Q@>Sz`Cjx!Ut^-bV6 zfxj$}ezBLn4*Zd`67!AVE5KhBNPmf!KBX(JiGW`p;8%P65b%-Njqd6IztZDpf&U47 zqV(n9E6z`xeiitn%*KT0F`K{-0FSMpSQ|__%getGe0~djBlz3FUmHk&nU_B00PHPi zHM-cU@!22m@k79$27Y3IALa40z|R9e$j|F(v}r%(;4f=|Uj_bl@B{qm=Nt3d{=q-g z0$&Gy3-~mDdL3#_`bO~Ez@Omf=fv!%9Ed%!7Wg6HzXWgA(ROV+C6;~`_}wk=<>2dE z;8%gK1K-o{pDyjS{Is9Q|2pvBBYh&i5&Z8h#1yE!b}ae+KwO@lE*~t~rBGw2v_a{0Q*9{p~Zy*Z#q0fRFh3qFq@8>lxV0Ulfaf9r#zl z_wn%eaVpJ;w=1V1%5ar{ya#ry?6;ra)>+jTwdb% z4*`ER_B6ABX7ZzK39_<8>NNy_&6PYNy|JPZEK0Ke7ahk!4fmpFd2z%K-! zD1PPO<=)&x@mmG{M(~N^w+Z~}7Wg{w|89YA1iz&PJ_QS(ZQxf0%70U={NN|d$GzYI zexk?E0)GYgzJc@Op5FO!Irv)(F+T+OnI69i{D*i~f1>$g6ZoTw6UVm>{PEy72K-y^ z`PT^k8Sps)eul@V9EEH5;1l(aA>iAWB+h>p_yfRSAFzLgXTKbL1^7huy9#_I_{Re2 zH+bncf$tGcyvI`q{u1zs#>YnRH?+W~q+)#vKGFC%1pF)DuM7CM)bno^_>(WdZ$1S0 zF&J+#1N^+!PHg;5&W`Q>fG=6l=-wM>f2+LqmvS`j z6cQ21Hk$6VFuUYz9T%e?)ia`5+E zlX#DC75MMKC+c6Dz#n&QqdObsz5J8(LZ{?k2R;Y~d@4?>^;IH%elw+_T zk9)rN2KaA0ehBzeaS!;l0Y0{WG7J3L7Wi`TU6wZ{ypLcN_#46Bl7tNG{zCF~Ui>zJ zZ+8QJ^P`oYpXSwH9r#f6aGvA+}GPxAO#;E%;U+1msB>mFYYe#afy!wvBH9={5F&pR94KLY%Z9={2E^4<7- zmH;2SPoWNcMOCBwbs&D9c=2llf7Tj2dlKO9@c5MOSRdbu@jKZcpPuF-u4(_^KVFC5 zS840#4{z(WfAG5=!tcri{QJQ3za0F%)p6G&lF#z;Uj=^0zZ>1F1L-Tg^qasB-Pq{1 z^7Bc*dhN3g{4tMVd~NOb?|83%8^QN`DlwnZ1NVMy#vXhi{SRLHA>dQCApb!8e)asD z1-|L|M)!EXf5}IBd^z~mTN~Z?0`}kV?5_g<^egz?o+yBq zZ^1q7iRQ0H@b`f48}PrU7yp#wuzq-R-{W&CLOKNeQE%aQcl`Owb&!LM3uX+=f=)^; ze1yK&$CAGF>Zk(zkKoh%Hj_6z)PX|A!zR{f@us_GMp9Ox&Cn$fQ zj=%NlxB~onpX2wL0`^}t_9ezu;M;xO=sx1NFEQ3jDJI4*K6j^juKxY@8*$9l=6304Y#^^i=opqg>+zI}2h)%jG ziivd{bhdSAN_hU#2)?3gll!e?Z0Fac-CnFy{sCVPXmT$Jlx2Yz%OT)59Mt443Gf$s z{4DTY4sLQk57__6vtJH=JNW+w(r@?DuL6G)o<;dMz`y75o4`*_X>xm~`}|KnHeE6> z>mTsv&uVg?2;~2emwzMppTH-&KA3`mb9#1@drBbxK3@Jqz?bCUnT-AX`Tx_b4^sin z0{_muCb!JrU*x`>T+?MtJyt-cd$`HHu&vLA)MKHUMol@^Lg&H-O|IPk;MG&|nhv&{ zFMw}*X_LDn&?nw9eMfbX#a&%y-y zUhI7Fb?^l@H|=x1kP4f7z;C;y$=%OipAu`mHO|Dk>xp=d6we1m0zSm{?9;%v!*fID z1$@Ye^?&d~Z*Ovw{dpw+?(t#p-B%$70e-XBrYga|dRLQM639Q#i$OK`!|p~50=(|2 zrUI)4KO4NS>M1!jy3@biTa@&lve_s0qV&!-mlh;CK0LB=7Wm902~&wN38C zK)WC1ofl07ziU07HS)K&cW${)cCq+`Irk+vE3wKjpb5cXFT($9i?t?Ig6LEluv|0Dp$Z4**|@ zXTaVH*niQpKNb9$FJg=j_+Rb$9|gYy&y02VkKM^fcyrJS@O5t{&VM8LWISUwJCJ^= zm;PPw>3G(xV_>{U^2Uq3;7|Cd$sHE(|5VTaZrG3*|8bN1cEJA2p8Wyfn|I+Evq1Td z^2#?AeA_QEmbCY^!Q^Ya^WrG@#dt>T;XwNPy!0!;x5Kk*S^oB!bgtJ2Hi91metn>P ztG)8Q3;vx}&F=O<`+VJNpL@Yy)xOz%HcQbc2d#8zW_dRTC>|P;9oD#zun+3 zAJXh5`}w5by>`+X7hvX|j`V^4(90VSx`V&)%x3qxK>U_^@f!jDi(z;VwBNq(d6Qi5 zT}R-VL4W&6irt&L6#NG8(*pUA^YUK{{*zI7H+5jVnB|QZFMvM|&y+qI@b3Z7zun-U znuzy12l5{lEB`>Ok-&c&;A89H?%*H6GphTVb0z*G!2bk(W1##xSO}jB{%SnKniH@e z+h<-1{&nzfApOr?{jCMR9?!ad5J>;F=l=`fLwNSJCXoIKFa2)tZO+BJ!vp*m9^V=R z#P;d<9Rt7pTw`AQKlokXF>J>AZ+?s)0scquGyJ^oI&?1h-sd$ZyiaN=_?a#6Yr$Uw zKG8V$0{9&*@VmhuHv{ic_xtC&525ubavxr^yC4vsA}>DO!QVYIarzP9w}7t>r2m(f zJ{SDt+0E|t0sab)Ukd)Y^Aq=vwcuxGHoI#B>F+Sqq&L_b~0(@-U+Y|gB;J*&=pLprVfZv+i>~;wF*vc#8T<{Nv zn%&g_ex=7>1-@@S>bMIs@aBk67s){S&^qv!;JNHne;Jbx@#gH8gY z`{5b#-2whXk6#A(!UPA`SND>y+DlK@W#*e~+zj|2bcZO!hP0sAL=<&$?;Y+Kpv76sDhdg+&eKMK$Kj|`+A z;-%jJe#D*4?qvafvB$p-{yw}TpihAB;qiOGZ@jzNy*yC9a<6=yhG0Fq2IF*qALa4A z!H>Z^0`3g(D?EN2_^tQjoely1KOSEQzUaZ`g!k1i13%|sylcSU|70ASXSNVbAC~uZ zJpO3nJ|yq)xbQJNryq#HtzHb|{T{zR-t2xA;OjkJ-uvl;L%+3~AsOZA!dW z$N)cbbF(YYV8+If*Sz#$@W0``2(Ja&@D|gCQ-M{2U;A9Mdv3tL3C2H3l7hdD(0P9g z#sLBBIF+O~4hsJ+_!FK_+|T!d@B2ctdqAKaw)5Iyw=;0v2DzYFhb_%Lw(w=H)52mU;~i(zdbMt68IS^@r}PnzAy0e-CEQ(=E2 z_%5F{yZ`m`(oSlPit%9wbYA%~aXtJB{vy2BA<;SPp=V;v{6n+*QDDvfuD50%1b$d! zbHZy+)4?Cx)SU3%{zc$F1HZ3ldF0&eHt^H&>lxYpIyifI@^!73wOP_OdAwAX#G(dz zHzc`kTYq~Qy)1c2>m)OAh|X^4M3V822mgMH#H-mXp&ij_myR`9d)NI9-@P^kog}^7 zYhv0PI%ys7WB2~JCok~oZ5;UP_s2UU{Jtc|=BGmNpLTYG*Nc)5_1e`k@VmRX3Fqex z;Qu(lP5A83>)|{&2iQpzcE(-;3uTJ z?)L%vpL_PZjl_P^P&eUoo&&%iJ`C^S4cL$EA5R58Zn*275#R@U`A5Oe8-aJ>1o+tb z`U>zJM!9ZDfY0;NZv=ndXxHr;DF1%3@`E2c)=hZd-d^xq!3XAyq^4N;M`6F=EZ03J z+26j#d+mDw_)o^W`&^@#{ty08yh~_nAikSC`%&ky$0u67d|J9UoY9OD^ zhpM#4hw`|y!p<=~{yUFn@mRJ_&8JGm{wkb}4Xw?$!+6~D!8YdG5j>V#0OWJH3MY-c zoEOQ*@;^1}Eo2RHj)RX{!Mk^d>2X^X&bqGpMYcKRlS}_P>Y>9!M@|LJr&=x1tW$He z!re&ADUo~*QQ@pB)h`x*GE;vTQl?U- zQKnO7P-anvDJv)|DXS=}DQhTeDeEa4D4o^JpE8v)jWV4wgEEUUOj$u$Nm)f%O<6-( zOIc6ZK76}Hc&eEGJncc$~4M!$_&aZ$}nXGWhG@5Wi@3DWi4erWdo&i zAM>Y7rA(ttr_7+tq6|}3P*ze_QC3sdP}Wk`Q#MdK|6=}>sg!Ay>696iS(IVQ3d%~# zD#~ig8p>MAdddb$XC3pWOr=btOsCAC%%TiaR!~+_R#8?{)=<_`)>Af6I`=bw%2diU z%5=&M$}Gw-Wd&s=Wff&LWesI5Wj$pBrSkyur%a_xqfDpFpvRq8f7|V24xmyn6iShlCp}jnzDwnma?9*fzsK){3%l@(JPID<~@| zt0=1}Yba|e>nR&3ooeP!nM#>PnNFEOnME0tfy?CbRJ>;l&O?y zltfs7?tfj1{Y@l==WB!z>lxdXdlo^y+lwryW%1X*A%4*6Q%38{L$_7g3 zapq5%N|{EPPMJZOMH!~7psb{!QHRZo3U#9$u@(0S_DQ$jjTWR?^P^?yucur|xrXu~ z%BLu|P`*yNo$?dPuPJ|~bSc{ip< zMESerPgc8aDZ5a1qdbE0Sjt|MeJBS}4yCmD#mlqFXHcF)Ig>JrGDJC_GE7-U8E@Af zmy^Gk@>0sBlvh$-O?fTla>^SiZ=eGaBJrWH=gYTAj#?Mq`whlIuj4a;YSm<`>i$= z9%FD?Ifpr^TeSWqKlu#DUn~3?k=+k9ApXt6pX6)zZ!Nw6Us^c_Id*^5;y2^VzWl!n zxY)Tnq&b>*&;xsl`1pw8=H2ta-o@X(?EE(Y{srxne4=*lWx>8D-tAKb%)5wy$vuqX z&(N}x-TxFf?;Zjs_Z05SpUw$zdDcYiWSJLZ;J4(GU<9ATi63Qdvd2BH zZ58iMe9_UWXx`ZZN`6Z~?6f*oar3Sg;3pIBag^fbo%F!v-g(iVWnM~xI%2+O5g!6p zKIWZ0kkg1SF%Na)-bEbCN1ibdJ1=)oee(_-;BxQ3;Aw3XH}CcV{!ij(w^iJ{(+BvK z#FM%!Zr&vWypnjooch(7r>i{Uzo4B zd4C6R38R$ju|mbodpUp~NPKfx@mp2kH}O<|YD59^9uDYBb&H++1&Z%Ne)1Vg{JDQB zZl1{nK7si3#fqEvZ2+H%!+pg^+!p&qm#e;crv>ycAin2H#m&1cfXkui|C_*@z~m!t z2wt&N^}kivxq^7fHHv>uyps5|YZW)|x&U_v4)^8fy$SG#65yv{02P0>chH8D%eXz! zP4QDZDQ^4Y6R;!teGgIGye9zuJV*R}Ug^0B$MTWi@(}$k`>Xzb#J3Tjm#la(^Q{NI zuX24w{m%|l{qAbs`H^_VQpL?P+2CB_zg(rbdCnTR6i57VN)!bR<{=0CmQe>a zR7iYhwd$K^dOpBs#NocmCC^Z|!d0~CH99}GrvK{_=>HqI z`1xID)ilp`ApJzo5I~eTd7U z;A?v*emU}!&xyo)^-|nC8wLDi;){AKZk~w(ekKn0RWD~#|D*n@|2MR6`OF~x<3PpD zvroYDiBA}!coqFzNc_9g6*tc@LH}yv^9C!voBAt=Zy2t)9k2d{!+rT#P5mq&IU!btFADX??W0n*gAM>mVWH;g;->SHIMg{nh#HXxO+`P*S zcyHkQiq8P*_jy(Izk{xP&LH0P5yiJC?2ID5jktNH0GvEuA%4E{IP+zkXA=MVDaCK4 zoqXacuPJWseFqmMzWxox%{}kHD~MnEwBl=N=Q`pSZ&iE^@wE{<%~% zK4Yl=H1QtKC@$-1`MgB@4&no8=WXJ(n^pg5Rd+rje$BIrn`aWheM$Ui`tvIFecU{a11G+#c{z#ItrOp3OK+CjQ)R#mznF(4S3w*E@>W(Es_wkKU>HD(K25N_;bM zb1y&eONfU*R{gC;8~4K#A6T!rE$?gaOX3juL~(P^J9n}BeZxRPg-c?pp}e6Aw^-@B}q%o;?M>k@!FFQ9O%j{zH6vdku_vrW@Q_z@=Qyvs$j6)Zanm}^N4SLC0MRPgVSlBsGxrT zdNo|8;d8Db-r+q}K7(miCa|-C`ma8t`3|D~6TnmX-7nq&et;j~_s?nPr8brV=v3r5Wn&u_2(PI;<+c{)tsOr z#NWmFrsO;5LDe5a`~&LWe1PK2#`(hFRPu@6sNeoW_2)Wr?J)$4{nOmwuZyx@>Jy{{LT6|NGa~ zkp(1wCjR+5ikshT0M`l|_fju657d0kI~RfPPrSoj>Zjd5JcRg3gH_)=BMbdhgEKRq z=uiD$p4EI$Aa@$^DC>6~@u|c+alh*o;^!0pJz4#^h;hy*zRkQq8ShV_ei?A7-}Jb3 zLb=hWl20tBofUEO#jV8Oe_J!`$u!?Go`X36T*dkHUg|HqS>q%7HS&27_yJB=C!>cd zavE`-r2daw*Zr>Q&Wps$HwW{5llbx6FngZ*cXZM6I&9Aw#6O~bk8x^e0OR((!KvgE zN&9Pin7&KF$>cf_KlNt?`mkIn#0QK~!}dI)5AjQ`(E6e|XRyJ28S?8i>gRFZIg)rC z$|dddK5o1vR%DK z{I@q$aWVDl49)|exa1(Q^XJd^wDUXLl^qY|_hKc^lRwh{&tcM}&WgYJv&M6WhQsMV z`~g<%aOxjo@IUAK58x7?Fx#hn4&YSUxrgf(J3fpe9)I2K9O6fOsebZw#hFcf^EaCJ z`*fiMxXG8}fX(+pqyJ|=ucw{SPiuRaLX}>qP_dI0x1PU?`cbYMCsF?);vdGflTE~* z<_4R2XB^VJL44AOTCN3bw{^s)a0Al3;}ZJ2iNC@5n#)kH)j%)WIgR)iv(>&G zug(T8?JX;=yc39rnJZTtBzaEU`@TzNmC{_Px3u4Ud| z6W{Za+L=K7XW}o8SAQPYVmNJa5-t64KlZzg)IW&0%k@cr;>QyIn(KrIJ1Wticy-)9 zRXT9f&i|w1Mm6n>Azsh(?w-Ua7`&@f6<6L##y*vNBFo^NovRPl{%H4e<`Z8n7ZmU* zVf+^mKZEN5o9|V`d&bRQHyGTPA-}Gne$@vW$YSCTCeZ&8*BvCzZ9Y-`we;sX+Sw@= z7V+V5;JikBJog6%)BZN%gCEdx6=-!j|0Ohy8bNnKT7-as2_et?f0Yo%2X|Hl=IPkv=gQN`*L9p zpY58=xtMsA=hrsQR}s%VQw`heK{pfs?o~Bl-Zcz+cM-pZ`@lB-8w_r;4E*~K^#}7j zVg}ilft&ut^v0zG zkKa?=_Ul68AMH^4C(?cy@safkTu%IAgY&>AZlwOGW(B8eHqJf7r?8`Zz%&mLf0_GQ zyiLb>GJ*Y9ftz~dda{9bwgFG&cfa@wpwwgg!?j$y7>7@o@1U_7w{z*|m&7+#ss0ig z+e`dMt{?1mqSoEieus}#znXRq04{!J#I3iFqW+a}^XW;%56e&kPcq+h;tkx7wfo_d zh`+Z=^^ak`bBOQd2F4WHxxnB&@QFECZ<==gmBzuma|!$s+Btc)mdjo*UQYZ_xnTnz z^BV||wb*A8J8vAUc&=gbo<-_!;X>P~llZ#NwEdXh_W`$q_{VRl;uG|ew-_#5*WxkgXKhD+o9L%^aBfj@)Z4dT3 z``yGhFaQtHPBrnH4^ThN@AQCsn)u0a*K=Pa{;S+jgwOTnKhDRAzs&o@vWd%Y&P)9J z#jPj5Bz__nAnZ=g|A@cMarIxcv)>^)KBsbBok6@aaIt?{+O& z>j~O9iTF1UsG_aM(}`cOLvdT)(Zt8Rrv_~Q${?Qlu*TE&(=6f+_nG@K-xA{aH)%Y1 zImG!V@wf97=WTP&GUDfR+%BP=n+?tbpSV8(K9K$Bn-ula{B{x2ZKnMtpQ;hNulPFg zytwx80r4|9Uo2(b>0Pv5ax2*HG#lq@>Sypel--vb$aQajdUjj6RL}M0@t@ z@=0ocKJ^bKzWZ(kP9ZMu9g%i&-4+FG|LRNppt$pqLBywAq5AJI@6p6Z#I4&W5^sHw z>L1H|<^3j-@8aJSxR!S26Tjtc1=?saoCxs?c|rSY;+GJAd58wm{MHhZUPIi;Qv2n! zzmoW?H!9wp{ya+j>aA)g#QoCE#NT4M>^#1e`0E^(?D}&%@$YU@!*|jCr^N5CP=J@u zogayxa*yWQk@|bOYJB#*sra|_zlr)uJdYbhyxn1<|L0GN!8ad}NML6)^^3-6JA93Hp6aN6p75L6Pi4If<~nmoSH;g`xu($0|9(;fqi83G_@ejJ zfW1Gkn0Wu?ihoS|7ZNXiSPkbAznpjnwr5*kD~R87tLlfSzlQjmJda*Te;y_N(YdO~ z?K5XHa9Iym@Oe#Chxu%!e$@q9-Ynv^#2?7f>yLL5&n5m-jsl!!oG9^cGc|73pUa3x zxn6yNe%?U5AZ|bEPU5TCU+nm{j`*!-s{iIU*kEfT@$s~iLi?MEujTbe+uyemAISD* z@plc*#6IyE^_TJj>3bR`=Ud`mOxE)LO#Bz(Gxt-#rL9&xPx&9$KYNIGF}N>7em$D{ z{W#CscAiH3W?FSF7dnAK5d-yi4V(A|IKd!AWf9` z!T(k}gHxO9mYU00fpVmHiaF@ZU-X!f7D>d?&SU+qp~p6^_Gpd~1gWCiCE)JJfKP{v1O5 z3$Ev_pT`s5vQ71EoKGfx759O2X=gO?&b%HpocJ{0vd`SLlTLK)h|i?{alHOAmv|2G zO_f1Eqr~@e9<=S`3gY*(z1ea8X5u%-`M(CZ_)`(L4}2f>@A*_6d6xb>W^f+(#EaA) z$bsh=&TDTIpB=Z(xrzPj;>)#u?Q>`K&=-H^#`*Ip?L5JK58ID^BHrdBjSp{&cNz`u zbC6%V@VeLy?<=ralR1YGKa%Te+YXNfF8(Zv^XE9~|2#|mH@~F;ll_VRw^j{vm~hgG zw@Fg{pP26$;_vdl#53vVImB;Uu8Q{&FCgwTYr}7&=A0Q^-yV2_w*TJgnxGW=;{R=N z{+H2CPxhnDw0|k_TT?aPOSs^^fq3?nnxP#B?je2;_n-S}_RfO_r%|7Hj{2{1-F`B; zTH?!jf6H{@^~6vAOo4Rb|06zio5sOqJX^tE>DRAwzOeP!&frY!6Gu@0)#ucJwSPSE z9dYCE$;3CaJ==agg81_s_iVpAhxqNBKnj?5i1d%G5FCsqUR1L5_ zA6W`Kl{$WL7xmxad|}6j2Z@hdruL_>zMdt%oa2v;|5oD7ao6>B62Iwd&GjE@&iRV? z@$9E|ocxveA=_0km-@-PUem;Nf~~KP#IJc#6-Tge2NVDHJ+1c!+Bur|ZOIDUj{Ae< z)0=qP+ZDIt>gm8`J!vll+47F0evc0{eH+@JU~t9!|1+uo%e#u&^XMYt$A7MVGE7bx z@%eH4151EQKdp}Ir&m$`($mz=X!>&#@j|w940qPP&S2ojIDh_3 zqyEsi@njD1g&cr))1UdkC7$(h_a!c%{y%x$B-hc;65_|6tAVu7CoU&Gmh(|h>fb^9 z;5dKoCw?yD5TX8K#3!Dw4lX6Wh4>0CV0*J3-y;6PC#txD`a6hMu>o3qH}UD*XP!a* zABnGiO7opeyv@;CUn@RV;1S}TiQgPI4>oZh=Kfvk;Qee@hg1LgF>3!i+HrD9qmgJ? zUS6LZCpT0Y$}fmSL#3I~qRgDalHyRr$;`|x$;>Y-nUh_ZnHw!Bjbvt*Epl>7io%7V zXehT&+P*b1^9qU!GP6rdvlnNEile2AoxIZQqEKdTSy9nqB=H?(LNgjr4TZCdLs57% zazbW)C|X!hJbyuUVOgk8VM$JQVRm6bc0{O10!owjL;CzsaZyn&zTkgBaWqq8sIbV$ zvT&}E#br32n;n@8wYiIPb4o&ac@caMmlcK0ffJsyK)*zD_$5EgFK}x?NJ;Th6FZ@z zf+(WMqufwYb}{Wb#U;6_A8}%7BTl%K2E!44$+LNlI5%7nW*&K^1v$}zlHyU>Ij9OJ zr>xZG4$n)o%L=s&krH@Sitlr>b4@NzacE&)VadXX6f~!#7;Jth*9k`!7DRLA3M<~L z1`g=IcdRAQ!<@OHocYKN?IF83C*+id!X>3q1)OkhcFa1kNHjZIW`bF|K))kT?;8S4 z5QXKpXm;^@ek~{t=M@x&Pz-!4i}tl&q+)@DN=u6(`Sd;Hlod-6P$)DQsk(4B+FL}E z_D2ddmXW2U2pV}4J11vuc5!})8J2`4wmEZ43Q#URFwM>>3KfM*N+h^BrJ?L-Xnd$> z7@FdI^cd*`-eE}@vX*u$wX6q@c*U=g>;<7{L6OPMkpnbx*vpAV%uy&@P*{?Wrcg33 zlp|J#kC`^%>?vbsj6^59pbX7Ex)>-r7UEh`8pXCFN z52TcKR0{X?i)8FbxDD;hDJz_B$c5R3h31QJMForc8YO(`XTS8fUj`VrN>MziCCOR} zUQjGP89(JvJn%TE8WNokj`$rdE)l{gM-bJVXmLp~>Lq8s*kCI|CJRdoq9FvXG=H&v zFAYV?3K2m=6c(W8AtnWdg^_5fVv;_ZJ*O~aRf^~9p=rrXky{|$q8Qnt1r=qNnp`8& zRxk`kLb+0lPH9z zXjGIb#6XNV&zEX~wTR~G(q&bkbg%*we$p&q{YZERh_9aEJO6JUqE{aM4C6#=Q z6lF(C3l^b#XaFTSJalx(&7CLyL{JYUrI;oprU)}kqIegE9Mc{n=yC`^1j7Np8bb)3 z8IK(4ktU9d>^B6sv;;#BO3ER~iI!#;N5Tj>=7>>~hmIeaIdZ~?%uL73CoD%N#j|3C4_=3~1{3;Wp{$aTA9P9hW(A)Tk*Vr)EwaI&9p? zOw1oBySP)3i|-g6q)Zws97aRoNoG6$zG6e+P!hfTFEO7h0;fl8#`=xX1_lD`V3_2 zEy*v@`Z0~s&NOpF*|}(^5ofB@yygcdblfgN!3xy@1&T2diwmV?#gkB@5!9fLhQ1t=kKebZlutEH#|h zkr#Ox7Z`_07z<+k$=~U;1X3BM#<>_{hSFcmM8rsiOBQ0GY4St5vPcN6O;$|~h*)); zip<4TEC6T+vDQ>{-@usba^~wSBEy$7QC_<}`JbWChT!5%I>PMSLMV6~W%NzX#LoJpBerVbrFVd#XZQ1BY4 z8FD2qV+4gy(rSF2MLQZShZadkE({gN6-Q2WA|cz9WEoNhYvvRK)-<^eqHM^82tKA5 zvpmVnnL9r-FT0@7GdcinAf4^boY6{Uj$0%PWu^VojW`{MpvgxD^^gp*Y%yA79!Tre zDL{HQD>YM>r(8jrQEP6g=a)<(BPW=$j&WoTKy4v*ScJ+904mdDi-srbt%V3!An6Em z8Z%xd6K%K1mQG7rG%quL$axx8-RQ|ui&8ROp=tbOBEfhh1|r26Ig6vgK|@FVXpvd@ zOAWwms4x=iLb~=c=NuTaWK{Pp_6cZPl*LMRuEg7p0A@Mj44*Q7=(uq(jp@&{7-XS~ zea+5}1aeBKv%f~w$-~+{5(o*)%+*#b2)d;3O=e2j(bEje(id$L!yH?LlVlkHrxt}L z$nkRD=9jS7Rdg%UvVylvlLs~;7OwvN6rE6JCCzWBr zv}m(n$PN}voRmtQSQdnJEE&mCPo1_EZ%W{E2c z{{HFxggIK{PpLVB$oD$w03y%AQ6*BRED#1;niD=;;mV7_0nC>AnLTJ)1Z6 zZF-BH%#aatMy*JMecctM(k=mqw58#T%&#({i_1J4w?n_KCd7S^v3bhZKWu3@KdL61 zgi*7nJa9{#@p&27FvL6q<@pGI?Z|8DP>N!Dglve&a?O{Y83Rq{j2jo(S1_io^TsYwbkBh&FeWk_g*_wE-h9mqHlro;L)Z^75t1OFbpS2P$@3<9J7J^0 z*{By3)379zMxbrj(i7*%o}1eADqYUeIblcwp4Y*jz)T_iUTm5unTR2V*G0cncs-vUD>82+-OP7yY6u;m!21Pn{zIi>Rhn8{W4qI5lEnyEy@xA=|q zAT2g$=DbKK6tpFTuY*a5Z0nUagZ8Q?X?f->ok8@SmdYC4E~gm5*c2fnpCpm4s{7uY zpf$WUw8%5g{e7NZ$SlAlw##c9x3!6!;B(xOJ@*ku{gtEVlNfpaG`W}x!a7(yml)Vy zpO-7;2-HL=<~VGAnHf|A9XpMXe#jbS?vVoG*}Xu$zFnsuplQ6geGHXORqu!bS`I?qYtL9iD8{a%}@{v zIJP2!Q=@3fng#J@0BuTn(Vas_gs7{4CEl?RL^~TOr}f` zT>Hw#l`w4}rshrCK+iLy5~3eBUZT@uv zg6^4XUE5NaDaeLFVlC6Q&ht3(&1+f{!g6duK59x&j00z0&ZHS5Cr^|?Sw;XBm%Y(5 zZU?5=Y$t)!AjfhO^`V2rgn#b@6nC|pzPvsI+pP>P(-O|qd9b#nIw!gbLt_zPCADA zrY!~e=oKB^>}B;v_PJa{PEvC1TgEw4jW(2GUPoItj5%cm=*xCVY0iVO5;gh81r;g1 zGh^f;IcSqJA(hgYC91zkdbvVh6ijoG;olo%VAQV85IpIYW;1u6Te&75DV)ug1DK6| zZW*p1#%;-SX3XKd%vYl6-+Pk|?+w&}7AYf}44F~{`Xe)1ekpdD6!ve_m|$p~*h7&+$C;Tq zi?Zdi3|hg3!EL;e6MP$ya>`*64A;{jbsRCZt0-)XW1pK&YbiM^2ImDh?zKj#2-7ai zvLe7pes<2$t1zZ4-n^z&A~|?F_keuS(W;QzMsWRuoYN<=xCmQ9kQkSZoNK=om*5&` zesNhJ%p|y;fJ=UTJjiso6Vd35f*BM0->V8h4~LM{OK4>G}(h6=Mqk>A3F zQKyfzH>VH2_Q@~dmq;kb>4QduL)1zEv`b7-`-JB5c8j^Wux5|chTeCfDeQM-m0g4@ z2x3~YfS0oN?K1}#nEKeZWA7jN|0r?0u_L#h@irA_9luza8fU*<+_Bu36zOa=W_g7t;EZ-39&O8fi8s;xHccabykC%+|Z)7#$8A$X43lL$>+b^tSw$GW{@P&GCL;+5XOQ&CyCo`a|#+ zpZ;245?9_n?Ko99kWZEQ?@0Udf2VQ=~Jtev9c2P@A*Gnd0^!YIQFNneq0r- zw0hQtJ+|`pxb!tlZ)L^*L;h>x(%avou`+sWu*5cB>(Bjh>Fw`zTgm2c)lFS{2l(VNN}J;;2q`C3$(_rB84k{7z; OWAFbp2lyAC{{H}04QKKI From 8d361ff2d9addd10e7848e0cf00873d80b21647b Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 8 Oct 2024 16:49:39 +0300 Subject: [PATCH 131/183] test1 --- epyt/tests/general_unit_test.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/epyt/tests/general_unit_test.py b/epyt/tests/general_unit_test.py index d96cccf..ae5c05f 100644 --- a/epyt/tests/general_unit_test.py +++ b/epyt/tests/general_unit_test.py @@ -2390,7 +2390,7 @@ def testStepByStepHydraulic(): 75.6572215, 5.91245886, 122.73900313, 37.26099687, 1909.42463758]) np.testing.assert_array_almost_equal(flow[25], desired_flow_25, err_msg=err_msg, decimal=4) - +""" def testStepByStepHydraulicQuality(self): d = epanet('Net2.inp', ph=False) d.openHydraulicAnalysis() @@ -3712,7 +3712,7 @@ def test_getComputedHydraulicTimeSeries(): 0.00000000e+00]]) actual = comp_vals.Velocity np.testing.assert_array_almost_equal(actual, desired, err_msg=err_msg, decimal=2) - +""" @staticmethod def test_getComputedQualityTimeSeries(): d = epanet('Net1.inp', ph=False) From 365f219a1436870140368bb53684eadced67d6e2 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 8 Oct 2024 16:51:13 +0300 Subject: [PATCH 132/183] Update general_unit_test.py --- epyt/tests/general_unit_test.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/epyt/tests/general_unit_test.py b/epyt/tests/general_unit_test.py index ae5c05f..a6fcb4c 100644 --- a/epyt/tests/general_unit_test.py +++ b/epyt/tests/general_unit_test.py @@ -2390,7 +2390,7 @@ def testStepByStepHydraulic(): 75.6572215, 5.91245886, 122.73900313, 37.26099687, 1909.42463758]) np.testing.assert_array_almost_equal(flow[25], desired_flow_25, err_msg=err_msg, decimal=4) -""" + """ def testStepByStepHydraulicQuality(self): d = epanet('Net2.inp', ph=False) d.openHydraulicAnalysis() From d1602ebbd256a465fc8535c9b6bd6aacc6eefc20 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Wed, 9 Oct 2024 14:17:41 +0300 Subject: [PATCH 133/183] mac libraries --- README.md | 2 +- .../python/EX_NewFunctions_2_3_EPANET.py | 67 +++++++++--------- epyt/libraries/mac/libepanet2.dylib | Bin 340320 -> 413856 bytes epyt/tests/test_unit_update2_3.py | 52 +++++++------- 4 files changed, 59 insertions(+), 62 deletions(-) diff --git a/README.md b/README.md index a9ffe90..aba21e5 100644 --- a/README.md +++ b/README.md @@ -639,6 +639,7 @@ If you want to contribute, please check out our [Code of Conduct](https://github | getMSXSpeciesUnits | Retrieves the species mass units | | getMSXTimeStep | Retrieves the time step | | getMethods | Returns all methods of epanet | +| loadMSXFile | Loads an msx file | | initializeMSXQualityAnalysis | Initializes the MSX system before solving for water quality results in step-wise fashion | | plotMSXSpeciesLinkConcentration | Plots concentration of species for links over time. | | plotMSXSpeciesNodeConcentration | Plots concentration of species for nodes over time. | @@ -834,7 +835,6 @@ If you want to contribute, please check out our [Code of Conduct](https://github | MSXgetsource | Retrieves information on any external source of a particular chemical species assigned to a specific node or link of the pipe network | | MSXgetspecies | Retrieves the attributes of a chemical species given its internal index number | | MSXinit | Initialize the MSX system before solving for water quality results in the step-wise fashion | -| loadMSXFile | Loads an msx file | | MSXopen | Opens .MSX file | | MSXreport | Writes water quality simulations results as instructed by MSX input file to a text file | | MSXsavemsxfile | Saves the data associated with the current MSX project into a new MSX input file | diff --git a/epyt/examples/python/EX_NewFunctions_2_3_EPANET.py b/epyt/examples/python/EX_NewFunctions_2_3_EPANET.py index 704aa0a..39f1f1c 100644 --- a/epyt/examples/python/EX_NewFunctions_2_3_EPANET.py +++ b/epyt/examples/python/EX_NewFunctions_2_3_EPANET.py @@ -1,17 +1,17 @@ from epyt import epanet -import logging -#inpfile = "Richmond_standard.inp" +# inpfile = "Richmond_standard.inp" -#Warning that a link is missing and the network is not fully connected -inpfile = "BrokenNetwork.inp" -d = epanet(inpfile) -d.unload() +# #Warning that a link is missing and the network is not fully connected +# inpfile = "BrokenNetwork.inp" +# d = epanet(inpfile) +# d.unload() inpfile = "Net1.inp" d = epanet(inpfile) -#setcurvetype functions +# d.getNodeNameID('dakjsdfhjksdfhsd') +# setcurvetype functions d.setCurveTypePump(1) d.printv(d.getCurveType(1)) d.setCurveTypeVolume(1) @@ -27,28 +27,28 @@ # Setvertex linkID = '10' -x = [ 22,24, 28] -y = [ 30,68, 69] +x = [22, 24, 28] +y = [30, 68, 69] d.setLinkVertices(linkID, x, y) x = d.getLinkVertices() -d.setVertex(1,1,1,1) +d.setVertex(1, 1, 1, 1) d.printv(d.getLinkVertices()) -#set and get linkvalvecurvegpv +# set and get linkvalvecurvegpv linkid = d.getLinkPipeNameID(1) condition = 1 index = d.setLinkTypeValveGPV(linkid, condition) -d.setLinkValveCurveGPV(index,1) +d.setLinkValveCurveGPV(index, 1) d.printv(d.getLinkValveCurveGPV()) -#set and get linkvalvecurvepcv +# set and get linkvalvecurvepcv linkid = d.getLinkPipeNameID(1) condition = 1 index = d.setLinkTypeValvePCV(linkid, condition) -d.setLinkValveCurvePCV(index,1) +d.setLinkValveCurvePCV(index, 1) d.printv(d.getLinkValveCurvePCV(index)) -#setTimeClockStartTime & getTimeClockStartTime +# setTimeClockStartTime & getTimeClockStartTime d.printv(d.getTimeClockStartTime()) d.setTimeClockStartTime(3600) d.printv(d.getTimeClockStartTime()) @@ -58,62 +58,59 @@ d.setOptionsDemandPattern(0) d.printv(d.getOptionsDemandPattern()) - # getLinkType / d.setLinkTypeValvePCV / d.addLinkValvePCV d.getLinkType(1) # Retrieves the type of the 1st link linkid = d.getLinkPipeNameID(1) # Retrieves the ID of the 1t pipe index = d.setLinkTypeValvePCV(linkid) # Changes the 1st pipe to valve PCV given it's ID print(d.getLinkType(index)) -#addLinkValvePCV -#d.plot() +# addLinkValvePCV +# d.plot() valveID = 'newValvePCV' fromNode = '10' toNode = '21' valveIndex = d.addLinkValvePCV(valveID, fromNode, toNode) -#d.plot() +# d.plot() -#getset OptionsEmiterBackFlow +# getset OptionsEmiterBackFlow d.printv(d.getOptionsEmitterBackFlow()) d.setOptionsEmitterBackFlowDisallowed() d.printv(d.getOptionsEmitterBackFlow()) d.setOptionsEmitterBackFlowAllowed() d.printv(d.getOptionsEmitterBackFlow()) -#getNodeInControl & getLinkInControl +# getNodeInControl & getLinkInControl d.printv(d.getLinkInControl()) d.printv(d.getLinkInControl(10)) d.printv(d.getNodeInControl()) d.printv(d.getNodeInControl(11)) -#setLinkFlowUnitsCMS -d.setFlowUnitsCMS() #kpa and meters +# setLinkFlowUnitsCMS +d.setFlowUnitsCMS() # kpa and meters d.printv(d.getFlowUnits()) - -#example with change from kpa to psi without changing metric first +# example with change from kpa to psi without changing metric first d.setOptionsPressureUnitsPSI() d.printv(d.getOptionsPressureUnits()) -#how to do it right +# how to do it right d.setFlowUnitsIMGD() d.setOptionsPressureUnitsPSI() d.printv(d.getOptionsPressureUnits()) - -#example with change from psi to KPA without changing the metric +# example with change from psi to KPA without changing the metric d.setOptionsPressureUnitsKPA() d.printv(d.getOptionsPressureUnits()) -#reseting +# reseting d.setFlowUnitsGPM() d.setOptionsPressureUnitsPSI() -#setNodeEmitterCoeff -d.setNodeEmitterCoeff([2,3],[0.5,0.6]) +# setNodeEmitterCoeff +d.setNodeEmitterCoeff([2, 3], [0.5, 0.6]) d.printv(d.getNodeEmitterCoeff()) -#getset Optionsstatusreport +# getset Optionsstatusreport d.setOptionsStatusReportNo() d.printv(d.getOptionsStatusReport()) d.setOptionsStatusReportNormal() @@ -121,13 +118,13 @@ d.setOptionsStatusReportFull() d.printv(d.getOptionsStatusReport()) -#Leakage section +# Leakage section d.solveCompleteHydraulics() -d.setLinkLeakArea(2,10.5) +d.setLinkLeakArea(2, 10.5) d.printv(d.getLinkLeakArea()) -d.setLinkExpansionProperties(5,2) +d.setLinkExpansionProperties(5, 2) d.printv(d.getLinkExpansionProperties()) d.printv(d.getLinkLeakageRate()) diff --git a/epyt/libraries/mac/libepanet2.dylib b/epyt/libraries/mac/libepanet2.dylib index 455027805452293a323a60b3ef16ba0d7c182ce8..de774bc5c97f438ea2aadd83c0f0fda43fde5497 100644 GIT binary patch literal 413856 zcmeFa3!I%*dGG)3Y(n-BVu&FI2+1VIm_5W85ot(~GGV|3P*G43A%qD29V&tdo=TB6 zI$nliPnlzSsDHKOf-=Egu*V)Vr=&tt55Z~$yr7;_ok;@S6R&7(XWPul`Tm}@*1Ok! z_xtXd1lx1||Ig&}+1az#yDraq?$5I>@7I3$qyKe$l9Uqu9n0qgK5w3$Bp)?8Y??k`j{wlsd=5GHsZoKxU8*ga-oPVLCW|BPY0eaZi^uM>>?S8ADxUX6Kei@&W zGUeUxe%Gd3dsp3X{afGmu1z<-?besS^t#*lk-P#-iVrl-2>^J8|9!%q=}B#w;}iAu zt{+WLz7NyXPCYjHqZcR1Ov+xTcKo};e_qD(KjrgsE6xA!ngz!un{pm4piJZJf8J{s z|Ld36Ec=6>^<6vG(f#-8YcU@;$LFDxo@aj>E{|V$%xOF``1#g9>4UTQs4qZCroC4T zS4vjB=azSC_WE3Q+by@g?VT?@&!d1^Ny3z@pD`HVy~tpf|E+oJ-$MU;bI-BKVj+3z z-xLO>FffIIDGW?uUZ}7kGyw3f8 zo&P;Lv%6j`CG{`Thx*&PXXCE%+t1qxECUahH-77IpI|EO9Pa_9GBA{jVK_xF==qX2 z4FTuPwfPM=hbezSl5Ei!suSS+FU(E91Dt>Ee+M`}tGV<1clmCHaqUiEYlRU!4Kwdg zej@>A-SxNgZFsxT!wpQpX1G&%LiuYnCVzKcnA8nE{;oWIp2IcutJ50wRetBR$kyGZp>+zdgHgBzw>ZU z$?uaYaKV9;Ya|gyok}ZO91bN*Df9^*nxRUSE+rOG@ zX_D7HqW`hz5J!KtfnT?5?djY#*t2mLe0Q_-$NHI$r}caZ{XCLWr*fRDqj?CPjxT-S z$(?-*$Kd(9YVec6xb~z0eV4v^UVULnvYb3H49|>~lYweU^0fKVkyXjiw8fjB+_xa9 z_b{Jp$IczNbY*GF$g1w4eG9}#8^)|J`qg)ZK12I!k+o}2NCsX-{j?rGJgB3(9528 zGIFkQ9%h^@oqK0B)A^U7j_};|1}C%dL(oS?2k^TIyf0Z?8h8u%wK+0=;GMx7zA&CZ zzgYW-C;lk$Jb}IlG!;*X9|A9Y?IooxHtzrr`gE_CJC%#?Mv)EKHLDl#N9fD=`D%MSHc?CTb+KynCex|mOZcEMeBS$A-|x;{3@UF`WD&+Uts;L&6mm-m58#ZPixZRIz9Y988X9mj~$7H|k8~bJ7 z*e(0Uj@dW%%f6SrU}z`xtMEqk>FMt8?@S-6A*053=-Zly)5^NgV~;lG-rMQsj;%Ve zhHSR9QCUZRn+qkUj2-Nq>D=nM0~e!Phna_-{li!ABap=`-$+S+BaAdeU2YfM4_xD_b`~Hujdw?rhGJoKO z{H?j1{Ri&*&;FzPe%^qq)49y!T{Mv2;m2ywKc6QjvRxO#d(uy_?RpVoeC6*lwyTJz zq*s7D^(!Nu-+R2HyL`{B_$#W{@$?6tETJp*bzpO_r{!exf7*}S{OyX;7PFo3`7m;5 zb${aO?v9_KtL$0bJ^QabYxX@OJUmC31H960+kiiX`MAwb3g&wvxB|SYI|BT7XP*JD zJp=wb+rgaiJGP;lklmsE;7WAbhW^=ypSK@BK^j3&d>|hkIJSu%D8XTmCb6Dai^&(Th=I>8_K#GW!#eL>Md-P zb%e4djWVt|JyCi}bKySK6A$w(*&4@ zqtK>ha4^D{hk+rUeAYz_!{ZG7I`r$ZQ+#WVizqk#qOXsC zA=4K=Rtl4^uN;E$3Ule+Wc}1DqZg#G)gnJ(8aN**PkZ27hdo|>9~!SEhmggq_!fRd z=Ih2UZSXWFz(oDq-pU+=TVl3g7Xv;FZpwd&O))z2_oV531n@|A__6ByubUX2Zvl_x zW}rc3TO&s9k8%*`raJSnyiS-;N?+to^O0Fvqen+5rJ02`6E-vpJN6&7>Uq!Z^Pw{kXPDXaN(gyZr;sI=|`H3f#2ENke zVw@T_t&%k7=c+Gu{)y&m{W6|xo^n&fE>B91{+{;2vC94ne~ZVtZ~t`Vl>$HTY)Jmo z7kK{9hY!ye58lh)&GhKmd6>MwTrwuk7VlP$%J^OjeU>({%?OIWrs$9cl>9H-y)i2>Z;ybvvo4CPNZ*NE}h9-67mzj{7AAz`5*ZM#@F8dv(AFv z!LNP_dl>8Dlfmii%|pjMZ}XG*-k(ss*Lg*wZDo2gM}7Smdzststb%@7+p&Jg{~RO%8}~!kKTD{m3%@h zXHE3z>u9CNWy#RUa@JqgB}2p4P9IQSIbOH8LwH-|)+>guEe+hp@7iU+JRO)jlX_*I z%SEg|mRv-q&qX}(vX)%L@N(8~)@>d#9rkj z@0u|%LS4f_SNUeGhoy8AUT&l8(TKh(d&Jcn3^Z5Sykm^!@Pn+c!E zco5uZ&8Y_Nkm>p`ZAYNP$DT}#pNYfMb*F>$aat*C5;+ULq%1|HAnBfNfv&jjtzp+J*Vx8>BF{rTf+hI7Gl&7ojz59V=`MI19pm;9P$pkJwNpGB^g68fWOOwB z@y;$6SIB0~Y_?gI4VFKu)89~>MdSASaSivHt8ALajci)w_Z#CL1AK;W zVAbE^`@{TgdKSJ+_gawe9$pGg&jqKf=hl|8cVq1bo|NrHM%?cY`QMUPJ^yq68@WxO zEi@Ttor3i|zIk5c$J8!KhW<);JJ;h}a&f(ri@|xRTs(NuwvJZ0z`m8%u5FSFjk{g_ z@hrKZdtAT&SidC?r+1G-?|NxYx5@}^=ej|+c zdN=;B>$m7}rXT-}jqy``=3zCNQeBUS6`}1W*Vpp!`<>tyJ}Z6I=`zu3u^+e8)d~~u zhBF>1t!aH`xjgl?_JS7P;vH=#+Bl=F&r zfloi5!+Xl)#-7KXk+S8+w(VK8YioJYA?2$E`xd%2H810XW&hjD_+a0u)Y&jr=^!uD zbLuWzqw?}T*tfvi7Rk5rIIo>XUTn|RyDDp(zJupXr*17@eW;SWchS!BhOz1erJ+H- zD;KPFy7vo>yqKO>*aN3JOz}kd<7?>C+Dm5FHFWXdDJ~axdKlAk84aDX_k45;a&7BK zn_k|cQ`Bck^1c{*nbYrrFm8Z*ZE5I4UuLqj0bW+y%Nw>secH1t{If`h2Y9FZK7@nh zf@J(~$<1%D@5(XLSLmO?zN^NP)01)N+?e}4t#khw&$lsV&|6#kPClf55_HeDzAFwr z_9E@Ypx;^OBI&iWlX1mPgFOpuAHZPGmAiKKT&1-&i^pom1bS)R@XB3prS6Wt(i8tu z(%SL@_~FWQ-$*T`?OP57eH!RJd^R#WHyPhre#;@jaX)aBy02M8>|<~kk6}A^_IzSj z9PcGvPVb8Lf(?Isj$r*3G2d4DF`R*yzX&)J4%a5*e-?gguF}cEp`N`a8NWY%CY>Cf zT?l+UvpjCd56*Akc<*AzUmy4FZI1UhY=+~X8x|$iO^d|a@(bkiq~&Kd$~7OYb!sj) zFYzjU1s~hWGW!_YGXA>w_uGW;I zFZ?OfB`VY2v94wEBjDRd8#EilPm&%&hoXn5C!DP;4ZS#q^ZI1`g)y8ta&>A{zl41% ziDx8Nk|X@jE!+ zi@(1f_q{0@|62HseKDJCxT5VllkvU&*@Ut~JeJE3l$-3>-j$>02mJR2KXjFbw#RU_ z!AFo!;UlHbnv(g{0Vf0W^&jK@+VTC|f_YMI^PG#0=wqIJ4ZaUBSXov_cz%DE=BIV8 zHGX{;TBh<6`a(|neHjz? z=;7fr{NL!^;nk9vjbpPv%>E?bZe)ei$HU7T?a9kHTeY;&&&V0Rth3SI$ZB7h0_xQff?(zK#y2l4+mB>F%QXkDOpbOF3NdHM=2-QoNs(B z`$5aL-Y0)?J)htsJ`NDWd=BxE&sU+b-o;HEt9OGZC-Aw3Pk)6rd_TzNZ~1(K&rkUz z7=u^yxr)zw`J8~$dJUg3gzj+PH2lR5&IC+L{YCbe@7ke#xRdl56$frDpNj8+|At+! z5mVaVOZc07TJR}rs}p=b_H>09k{DC^tWu&L@ul=v$z8tCB&4**KKm+_r(4m zJf8CKo~xamD7D%N#qpv+zuNZUugV^4z4!et9$kM4z9Vrq^n384M;5pEj*1I*?)l?p z-{oZD62*}v_!3<#e7wWMHoDrw@D%Wc+(S+uitB;pSz9X(`G|sg3FFv!@@f2d;#GZK z^KUpV{#8?~qJ zy|ekMe`2VAa%=rOddb$RuhPk$F5lktI{^=Yhln>VmJ760F26srA1KB`dMDs24?m1I zp5PZ7-$rt>jlKdO#QY=QZm*YvBHj`&SbrBZ=%YD&v`wFb6ZBcy)QXq)w&`!LkA(_h zB>z$L%y5GI=FQMBfEN#fwkN=}hpMw+NS9;<|WKg)~3|8SBCLFIw4;RS1#@nIs(97brtlalb zAfw7D2Aw4zyoe7c!hN#D>(iSX`c$yJk53a!8U1$~&*jgCI_yz@M=Xb@U(J3B`2!K3 zyqz|AG^uRDKag)vEE4P3Yp7o+KR37X%q3Zv(VuaD%Ilgw>1fEb#b)<3*E=t#p0%6h z+Lh2lsUDAXk#e}g$##4It-0RFzKSGytI@X_`kd1kJFCmI=gP*JS6oMHQZX#4&WqrX zFOr>Sb}ZatTO*Mls2uLr@>Rt1&gX3Q%P-_?>a^4^R}S~{e6E5?YGM@p@$ebr@AuL1 zRz45&Iix`-yAD5H4u6H;r{aHa=2KoO8jD+Er7z3Pd%a&`&*8i38n?ed@OARH$Yii8K31%YoDKRmR)<*j_)uqUBZiLq zU9Wzrr@r(NpI`L>x35ky@CfmztPQb^; zv0>uZk@>{3M+^7E-($8lyR z?4_w#UHOMey)w(iIeW?Xrt8s9q<7aGG8l?>dFqNFWBE~g2vKs;rfexe%^h4-pua-<~Ni1U3ACHPjr=z zyQ^!Z$Hf=WWt<^#G%vsfan{bhPno}@oPpq#><7H1I7{nwnQmx#j=!JwL*AjVpR`_= z#Y)7(F1O9R{*K(X!3s?+-wloXDQnh27m*ui)7M(u(NUZd_LTnz@NROJ%~ebG&Vi4xEkTB~)+{}GecYxD zpPl3RjPuFqnVvbXY>lU-yP)YPu%Vag+9ML-E)he(dRf-rzmZy5{YE zphv)y#(Q_%$E>7&;{;>&#`Wi9#)Lk(V|uz);Ter-x(?d3$<0PB+QTzfvr3s&bPLps-+ z!oM)l9WssIT}eIc$LM(3?>*U-Z2eilUse|=ub%c(O1L}2?{`8^NY@?aTksBV)Ly5? z9t_iOJouk{y79}kZ{qWOe#++t8jkUKn9o)|5Au<28^3)zx$)-vS1dQ)=WQywNU?=% zm1J3RJaTPfcGqN@z2T$aPx7VnxW9M{dmO=|^tFC}`bu>7Oy|FkBDXeY`7l2Il~3C* z-_!f}+PBEx^ry4o_V>^N;e)o){dw(sLwo9^?OD?Z?S;?Och)%c6Y9w?(jGhEQy-$2 zOUG}&fSAaiO)4v1n88`BRvg{ew{XnPATx*UtPNbAXzd5Q>28RyCob$GU|x1V#GU@U zcbR?9*bwda+)-XQw*FN1Kf^~mSTA5b&ei>WS9dMXWY5#SXUWec*Bi{m~OpXc@YxbG9)Ykk543)LsM)_pr^ zpSM;9=2I>^uCwh14`-xC;0=QbooDUglUdXgkA(B>>Z3wgph1HU>o_Ck{K7ac+$Vmc z{bcq=n#`f&MUxO0njaz>c|4{%Q}xzRkG{o^f+IJEENc(aOn9OZLvAO2+yOt_2QB4$ z+Fm2R}X>9qB$Kx7R4dnuFy9V-_DQPbORsdd6sWH5Ii*K}!`u=2qJwRi|Lz0(cxNBf( zQh(n9ColV#vL>T?rP9DQWbi-44((^-O)K4do^$AFK>q zK{;~v)8swpTbv%xFXf-GugK$SoV<|1G>17ec4ba6&SaCVF7s@XVdTu_iVUw6Y{;5q z*y=KuAjc!f`Wl`SPuF!nk-^WLUrJdMtU#ky~kVaO3J*x9Q5#2Egx`-&j+|Q`L3|miQl>2 z>%NqyBx|hA?%ebLHm_SQ^L)0<#oD&#M*FVVe{;~srdnH9Kgk?o^6)o%wbH-YbCQlD zUK8&UQ;T<-e&nDpf{v)c<62ji zj+-c!{Q|Lrtu4R4v2P05HyM&2(N0$k(pLKV63)X_biO8*YajRCt2*G<9GQjVa zx;3u@U^?~$=Ap+=VZR^s zl9R!Wuirs^o&BiX(fzT?vv+*m+8~GItgOu*wXxsW3~-UW$CdA<-2E1wsb6yCUkLR} zz8v3LV}CA`cldJrT$O(|l+W?y^IZ9-Lpgq|^*_s%-y6zjQ7)WFM}zbACxx7j!$a*{ zzc+*Z2|mPN2BMuz4`}{Pvv-YuZ;GiPlMmzzBbu%5P4Ob znbcJ|GH19>R(5^D@ag*qZKrWo?d`xTJ>u)%EV%v$a$|eXfax^k^dP>T`l@z_SAn1M z+S&eZ^?7#l8G_(Pa^B_1PW#hoW{{qdAsDJGl)V!B9{MmT!Un-jW!p7YDgMHB4&-8OYwvlI5 zOb&hO(kXc`2470PepNIRJk#^x83rEdl_k()3wN*C{ws~^={Ff368{)4Mq>%D34CGr z_2t^DQ9`GD@no+F}uMA<@9jhn&rs6YQ$^NHLJkYnse@Te>&I+B~y8 z%F|tbS9QhD3BOHt{O{p%GM;ph7uWAu{u`TPzvubyll}KX|GmV2FZ18nr2vb4Z}6~f za^D6A_R5~!?C@^*iDbg&&2Ni|O4GR$th;Wyo!CM4f0=NEZn9jP`t|aO-nDaBo#4*O z1e2Z#CccFq`xZ?6?&2Kj;@env)Ere$b5y-E9qto!m-2u6!1M9l$UWcM`zm}l+tu~l zL+RsyJ+1c&O*S4-4tEZ^%%3-}f9z4lECZM5%eV2J*T=!P4ST7|v}=Ybx_34wN3A_( zvfI*i6WQ-Cn*GCn3H!9M2bENpP#*3Pz?TYe1z-O`wcX?G$fM2s!$iN-XX06C8|I{a zDe3;O`_X%0&8Uz5?3co9^c7iLA;ND{g>zJ zPJr(Ex4uX@-_lz*orG_qztO)p@VDrzvBKDauBmOnW>sQb$mR+c*zbd7=L_hrHH~{5 z&xA|CFF&iq{x#Y8cQVdFWFWw%Z_P*j1b=}1#LydoH^32aAb)^-BfJ35h?X7}(<{LK z#D8aw>~%&b4YkYz{T$C@(A#z!A6(cxyk1V{KzTX`>2=M4I_$ zB-p*YaVytfzboYty;xzJ=o^ z|0t5>#{yjz=F_DX^QL?w(IxVY%qI%^2K}+u>(hYe?|%a^$o}3ec>YZ%_3ZUADDu!egytFaUA^=WSqGL9x@+6v5ES^|34Ofx3WzC zR_1&VlZ$3s+E}kk^L(>eZ$o#D$}a27oNTo6a|L^)#j7u8Y{d?OMdy!b<6>aSMrm7Q z3)Ob1Z)^2Jtc6}33_c!kC>Ecudh~UibWrHm*O!l}{lMBUQPEkHhzB$e(OC1)+Jk@aeEG`_`K)Ykaf`2qo-Dl;1tbO8Jo@YL`3o?ooCecmsD7J*-^ zO!SG`ggn4+gf@B(?n0aw_)u}eoQHKkE523eJL)I+4muxYdd%w$v&m8X)?|}ezc}{< zZune?-o<#S z9R{9Qr^a^p7GR8YwfQ2l!{V_P80R(gNRypg=5^TfeSFu>&SmOO*3RX^b8-WoYOL3~ z96Vj*ak4gdeUN3*)Yt2nmB#vowsybM=}srWQ-KdnAIlI0-|;v1!wkIxU$OF?cZ^kUJ8dir+YbV4qN!jzIfYF= zc@wUJUf$czj>bF)9rk8yDEGbO+R$1N??*PYiT5)$G0SiLF~4Q%PL}tB-WowB&;QqC zi_uUzQ+S${jd3FzSZ==mQG1>&mYhi}i4LmB&xYnr`dIcY%#~+BA6NakjAhsy(_h$C zqhYXJw265ku`@+Jir_j^a53-e_O|BV`+a==66(|xJD!6r zqwd>Y>FY*35pwlQqPl7m$FIR&X}-tPhuNg4j%<3&SzZ*2C2Z{uOxBS0QPex;A&D&C%$&&_jA%&;M+OuZx}j&j%lWO1oxiSdnuFyI^w%2;5S<@CJ$D@$FzGX z^fz!1}$ddE%Wuh^%yBAh8)-Lg;3`n9vVE{8wp$7AiEbCp-HKI_)hw3e97p(yWo zHuRWG-Eh{&@UFRpF>gtRbeDwIAV+W6JT%jC3Nt^!Jnu?$=BLVf9(l^RP8WM`?YZ{% z>N&aF+~@3tw&&z@?YWYX}O{bJ`8J5?m6c{#dH0hHYx1HA;C|| z!w+`04*i~ub6hE|{2t_@cH};7OpW`SjH`AQyWHQ%L8`2DLUb3zB?ae+DL0w91iKHu zYqv-)u~kuDD%;u9%3p&aZpfK?@E3~a5a!++Y_`UL1`lv%Y$kd;-9rtYs>G;*(e_wT z@3ZiOayt*eC+xF+2WtSAcC9?^6V)qRy=7T=kcob;E2IlLW1Ovv?5J4Kh)|I!+)p{lJAf954S$r&bjh>#bf-N%MBKL0jeAXkwIX0u;j0XLh zp6gDS+uT0wA0HFZI|uffe{S$dMrj(oBX&?Mi?Gx(HwG)q{Me*nD4ZPM78`Dnh6 zP5|2@JkRS}IY0%$y{{VffeJ8%GzHKcBIk7VM zN8fq;RbArt5t@F?oPQPltS|bxl=)d5f1VXQo9>;I>|I`8vzhJBH&zfSy?r#rAq&YoQ{HVqr3^W(Bp(m8JK&Q`|rHNB*Jp_ChIvf(*(Wj8bT zPgPHKba|reby|eegPm@z!r5eZR%itN$eZJw*Wr`0U$W&H>!z(`-K}NPS$^y$x@k?g z6m+T6llOU8O|Rb5s^kBd=M(YaA7<-Jh7W^`cwYXX`tbZH`ULx+zeUGVWz(W6aZ+-J zJL_3G0eVVjM>tOBI=yxNy4w+3YO!U->!iH4of{f5)ab7j$2u1k_%7z#Y4F{Wvw#hF zL;q<%tPxAL&3}(*FCIL&Am)$m@w+d92mGEm`E+R?@IbbG`V71JfueTEQ&&vu9Gkc_ zOUF1z?CEq$w$4$|y2EJQDpR7-V9&|ivvoz92NF{pP$D7W^X@9B7bD6z} z*hllV3*_<#x?4j$c0o5djCqW;BIu#AmtRJ1X%+k9RyAneq$A`jWOPJfUHLhxi_Z{r zchC{|eR|(eDyQ)n^2KdVSs8|ZE;Rn}ek}ICH|%N2m4inAfk%#(ZmPrVi%XTL~`oJ_#uj}^6p$0c7kfm^|9I_>_3uc)#nUw?UlZKquQ)RwpMV>S4= z@TlEo*5%{#h{nO+zeM~tfen9Ew$4$=)0yg{jeG?BHuG3Rf5kp`h%tjMc6U*Dn<*J1 z&S)oN&o@|FWjjF@g1(&0c-oW7Sw5HJx{31^(9X&jfApr!Lw1h6K(?OMT8q)=%CR4y zJ2h|i@zvi!%-U6&c~=!3U#LUT>!*vqwD-5q%_GQ;_V^UGLoX~XYBvEt&ns#tA4qsW zuW8OYFCTsz4bIZpS4We8lknSo9@(MDMyB(?K7Ixqr82TE(oa6N+bSGRz`OTk>l_8| ze%Qm2@>@Y1W_*eN)>bzMefx!m|5l`9?Y_rZz(oaQmll^$9$E)eU9KQ}dHX(gk6K<|^6!Z=EEB;F88+`7| zkAS{0Z+rh-=RYS)-}RHAugTm|>Z<<^EP1p%NKQTQox8KL!51Cyh3$9F>L>ICXMP)U z-Ol#SF0g%+o9!c4tUT95I^aJuUYrY?Oze9nZ3=TFVSfSkv_HyuDNZiTXKivY-%P&~ z!TXyre&8cwf;2yo-lxgfslVp+;Z@nbCz1vFSReJB$8WmtQ@HNQ_We|2{1EHg8M#;= zPh$L#r;?s0cDlQydvYRs(4Ci&p|4m&*9PVVV_p=IySK6eYSG)QRR)7o7Pj#QsXql%G@>ub9fVmis?4F6)*yS0{KhRp@54g9~a1Y-1FGZR-x;sNwchWeeAc$Ug@?9tN6!xK=DCkMc|Ofu zJo{ESTIx>2!)H4jgf+Apxdvhz)|k85gX8M8TTi>j`vIf0>5BN4Ii>4r_AIPbqWcEJ z{C(cwlDs~8$T!c$x9!RJH^Byg$8106(9hPs4KB7rfA^<4wow*vulsJy|5?}Qr|R|j z3iZQXHk_+G6yo{4QD56=8_Fx8oVsawG{+FrzrgzRV**(%vjpfptB0hx#_&zUeA|0f18eVc4I8%HPiDmE3H2}Pi6N7=}b-R`+}R^6sO!X z!^Cm8n?KGYw z)@f>&txIm+>cYdyYqzcI^GU|L6V;uC9*6#6Zee{}lp>-`?Gt=uzZGA4OQY0BMG znkRWS)8BbAP7GuB=Hxv?{)1i!KCtpu+dUo1Domh&zh|p;v?sa;5YZc@6k9- zzBT=xd6Dy{L!B^Y=*R49wh#8Yr1gmXU!*?RL(&@pOyI~ z;{8>~zTY=wvJXCL%s&AalBtr;Mk&6Y-|&O&`Mk{Y84caMmwi4ON3t3E5Pa?-&*h$wa=6c;ftO+LuT2&&y1(#f@q#Pa7BBK=+#o66Tx4!l-pO~?3QU^IS1PEvgJwBFw)z6*4lOq{SDI2E&+ zy?wMHj~2(`0~g7o_HpU`fM(yaaRPks+L;A$0?!mDoH2g*o=QQSpz{KnYYIc;^Yweb zPQI+(&(toK0Dn6F?0k8>zYd%$4$!+W|NJkC*!GE8~*T3G+>uB(; zcXGAh|2cuu~Q?W6EAH0W)s zo>gX{f5Bmu^TEcS9o_YhAIIJgp54Q@XrudFMMJCa`J)3_ADx-Vw=;Q!cQ}(O-ecd| z{m3cLtj)~sq25yRYoWdQb$(ofpLWQ$?Sa+adSVt>!Zwm7%px0(9bK>cd%8D zHgu`VWCMzHsqD|GYODU`+jKVjHbxU{u*XA6ll1}Lny=)+-BN{l1bpWZ{ZQ;3AcUwF&o1;dgPC z;9=SsUvwn(qnUS_C!By6suS@-L7XQ(YUkGlU2yUw=FgSrfft%`prUz8ZnHrC_s@5^ zOPy<+h~~f6X3nGVU6KCRob66b&hW#l&F5<=v$o6h3_l6G5@cu4%Z~CG23wBr7x4Af zKSzg{Lxc<|Ca9P`*feXldrba;Vj(4RqK>bdDYlte58Kz zk~XKKxVPgr*l{|_3`_?pZhM$mHK^n5dIYD*R0>He1uV{cgn{+HuJgfjL*zENdMDO=v~ZE7KJz0{XQbPBq1ZGgw$ z`L*8XVU;J^4xIbx?*Q#f_}kx>&0N74D;i^@^P^0#uB1Q7#3-;;XHgGd0zcVc#jkRA z*-W3F{$>yOQ0)v?uY>cocApqNjLl89de!Ekhi3RYz!W1;w?qC(e3zK&v&Yo#AEW+* zs&BukuW#Sa1ED;xpI`jW*X27|{l9eM{&A@Pm-NGYr@IaqHItm21d z9#+cLPuD!)4d;fH*Ong!4ucP;?_OwIoz6J?9qvQ2zsa@QxALfZMxNHb$#>c}c|Co1 zu5oQU&+*@D{r3gF&t78Zxli$Rjy!$%a*JN#lSNOHUdsS<* z6Q{rNIr`qr^_B@pRzAMvx2L^}Ep3qJ> z%FfC9eLwY?n{v|9tGV+CxCnTOa3VbSi|4?p#%LNxyrQ;U{`*Y-y~cm9^xvnu@6J1+ z7xg=T-+x~SPw4krCkM$|c!uBm;Q0+J@mKh^y#b}HP5QUFyXvQ(XUsD5VLW|T%vXV4 zkuL7{wzoA`6rEM=BcF-vvL1ZI_iapg#&#AmnDGY$6E@b~MB5_MN%q z-iblnJAV5#-rSg;>ec?{$c0clxcISi}cQ98u^PrprGJx;aIX2u0 zKQCZ^!z%IvE07O#pXKCOyOErT|4bhi#EDwt{fy=;otfj?S$V;oY-)Rt+O87sBairE zz~^#KDw8jU?N0S<@OdJi&HNzg<3}5Qbg$M8=zFt+%k|CkYS7`G$c*wg1$?2l+WR%k zoOI`t^4q1uhwnkB4UHPC`0X=*%lmeRsjnPh3JcFzPjE3RedsPQ-N*8$f0psxBA5pk zJD4w{AFqp@ossY2*Ev^4Oo z@LPBU7Vc#pI>56RD}I>^d~-eRv7M z>qxHcTX-yz3*<@b9`L`T4sbZOv{s$IQLnZf{as_^PEX zWfQf%)Q`*krL=dl9e8o?0(S=Q!cYgiYCoEtmyTqu3z~$sLG}fYjh$B?8io2nkI43E zoh55GQo3U6l@sQcC=pwz;O<& z)g|ZJu${*#un}teDm!=P{f<>hy>c__ zGxwnT-_HFGtNi^AH_vOm-=X{#cW*-!!^)4V_!uywtwMl{5aj2Ku%nE z6D=1AuDtrxW6zD-cjW7zP*B(4k*#4q!TuPoiHj;K$DRZ}&mD{N`WkB*d3)+TSQE_JT@?_lB zU86QCQ(e6WLhtU(rA?0PNS<^S+h~(Hi>-HqYCoXuGt~N*aDxoTxY3y3SN>FXU=nlH zo^`8B{Ie5!eir(Of5KV5t|j4I9Q{Rg(&x)IyFI06NxpekaYjF+G=aCPscmlT8xFjv zcgz|tmnP$qYyBp7>~OeLa&W4@%Y^-`nm0Td&wKk3%sHz!K4xtTY|yVrZVT6aHb#T*Im7yp)%*6Q--+#97H7fFsD`^c@UNuvFK67Xx;HB;OS*Gp zIkqIVt&EA!CEe!Ekn$V9OTTrFR`aoU%S1WvX&v51X3j_^ck7+d&Ys!0QNKYCWqCw0 zA3nn-JI-cphc-K)(L12ecPS6PLlN(!c<`|_=Ku^3^8y}n=24jrUwNAeZ#eqp*#+-w z1UUaI@Js|p6FXmo8*tqsiV&mmLHeQk!8~Z!c z@?vA~TM0Icvm0g~?rGq>*Pq3@(#GaJcEr0n)1rOCcE@44wQt3K;a)lJIvXE8gFWGV zBs=G|P2;pYXDu=4j+a#3UA!;1c)Jx2^Bd)RF`owS70>a7 z^kZXkX4}pxF~=}|Z11&37+{#`VVE-s7^>ksP8&Rz0t|V0WzEs-d0xK2!;G%IJ0UL+ z#>8`c@WnG84djMHTn?`7(B%8qJ17NUF`41 z3p|j<{t^Devm>o9K9WA#*=}Cm_Xu;S`TXY}(?*uGOHTd)Io@IUxebqvqTxH_XM_Y0DJA%27T-Y3Mp2`)0Jw!)f{167T$M#_2I5 z$-s}f_f~mpi6U5=!o(}W`{H@~4# zj@dlXVkyrbFQ5#oyyRugZqwSI=S`@I!%k{READm zPHS`$t$t$hO92gnE==Kb@|oT_kf(Flw~)Pa;9I}yG1wE49b{SIWb>V0mNS>Ae?o;9zP40>Kr{2%1%yMMwO!A94YZ&yFKk#$63 zw=~DU){WaYiFt+?G3DnR`+Q3@{(tl1haCSXW5;`?v{xv87IdrjI~lJLvxV3*=GUN0 z-!uuB2feRndkKiUl>677xO5KS7hPzvp30i^>GA?vQ7&4Iu-An%yY+p`+55ttMCC-z z0H&8s0aN~Zm-8`2$n|ws`Tu?Ai%8j2`FFYE4+Us@D zyMb4{$h#w*d}m_q?=W|*ood~&i+CG<)W&^lyLtNfx|a3%+R5*Xf_YMI^PKVA=6M$I zj$GcHE69_F;NzY~{Z#L)YxT2U2ap4pXpQ&+ zhO<2l@<}4SsWRoAiuMsHhGu_^JIn3!qcM#-ZtEUek3VU4n%K7A``Pl-s%nRf1s^=M z@08h?Il4N?md;z~ypQb%AZKJb3gyS7CucX?*IGHz8ULYC_5)VeB)0!J*PiMft;8qI zIi7f}U-_0}*=JZv^A_PQ8P1-KbMC^3j|i9i$i z>W?=3AEOC*%yu;SZQ+(Yq+*Ad9%&5zk!D&bH<`*2&#J**0jtGZs_*@S;RUP*%7#%^ z^Yql69agrkRh}>ReUpP~+y{~ao8ow@Lrz2I%O&^1lbtp9^@DGudnN=&m}6RQF*#?x z&bh2*4L^)uD{+5`kI6&(7)M%Pjbri==4Net+?>}&x+RncSmL-j`|L>TyZnobGoM_V z-3R%qorm|d-shn6zVN;ApvD)^i~n?H)An|0{iR^vi0+hFDjs4VS|!7ODpQWTi2u~q z_I5$<(N&H8cUrrytObS{z@QwnKVuzu$jUgkpd5X*p=HxoUpW z1DdPGp|4TsZSNf}!C%159%;K@rrq3squt!;zunx!{-)fyOBdPx?B;XMHSOmFZ;LhV ziX5C%CjHd~ezGx7Xe(Ri`ex45??RU+-?{#faA0%RxYIMwJU%9aXZ8x(eQvpUo`9FM zW>CmW6X0{D+QKhKgU?0J0iQb0FgzEzHhRT)>pEn2lCrgHp`(!t!?;P)G*p2Pw zMPt~D`T=4nv(xbJWbAY|Fqxgs$fVhXHZmzYeY$W#ojltoy&!w~&27mRtsj_QNPd5m zn9lg^3+yrRHbM2Y9wIwy`#FgH^taYUKf4`UJkxBf(;L|QUT-6CecU<${Z_P2z&Lu> zDe{`u9Srt_G5!Kr3=W=cDg{iP=Dhe$R^w0 ztcA!o-^pAm{+*%|`APC!4gcOxs)Thw`APWkS=sFOvB0UqJ#v_}$65a<%)jFIWa>UZ z(JWr0`^=z=8^T&3GHr9HqBEO)mtQTOM044V|C@27JcNA04OtwmISL&0EgI8Y2a#2q z^V(?x@Jn51P$t5G?me+szVGU>eIH8(?)!niJ7z}1KMLn5E>T_T{fwBuqB9p!oqoR# z`6}uN|JwK5g+D!t?3fIZ`>?gimGB7p50!Py;2nH-bbX?~&Rxi~Nmj}Sr7d+vmtv3o z{fn~4LGE>~a2oH!c@b^kH}k*Gos-n%hgZ8~mo`6HDs6spg`QJ}ujcG5dl`^{XJeSF zT6Y9Tl6SMk)UmT`*jOLPvD3XvsY&_4T~B5E&b) zv2IuB7hIMM{T46{FXhYxKE;whstg<&L*Fd`7qWjDJnUUYpS1Z+wV_|mS=9G&MrjGW z02~@?sB&i6=-nH1tFO0#J&CGg`~aS6K`%1SRV?i4CZD0_IWVjcpvqKHeJ7&!uNWA_EXPn4qGb&Cxdg{pJh7H&!N|k_ha<4WNHL_cJ?;-Gd#Du51}Xb zxD9p8`tm9Gz6+!SjlS@4YBR9kHR_G3Ua4bdI9FTZ4CVKPLugQ=PQYP2-z_{BPiVf1 z_ccFkkln|n^BsDpjrulufS!*CX6FB4^(%bBH|!a&@23v!?MyQu!vzkTh_LpS}+U^`p1W6#1}(idr5C|SkcPNYMwVxEPz z9$V4{&9nAq(A%5WsI6o^!;|5;i}yF|GCDog&`Ilk`*UpU4Ho;`{y}ucL1+~A2udeN zW@XPpyrXl`gL^);OEkS69NFD|Ep?!Crp(D_vknP5KxYcWnLp8Z=N`dK&i@OIa{-#C z;{$wM-*>Fz)PLZURR75TfLHXs+CrPzBj4f}_9-;{wm?Uto$LX=g#J$N3z!65KVh^X zMm>tNCm%Jsu(p+xr)j!>_t6GT1I_QCE&i<8$5-F)^mt|ET5w8#nKL26W9Q1!koh0{ z-BgdhgM6BOpbx=QrM~cMI98jkHhp(ReaH2(ee=xvrhe$#`ez=pXXa0N-i-Nh`@b~q zmJId6bKc`t4}Hle3(v(f2Z_%@y<|>z{ciPxpC8u?&pYS1ek7yV7V}TF?r3M#f^5R4 zgI>3%ee{u&@isVp|1)#(cb7T)&3oggQRgnk7p&o##*xo#F|x)G-j^j7k5~WjeD}M> zK1O%JaptS&tSt5*y*uZHj4K`}vW4=;Cp_;PaFD}`q&V%KYa4^PTh7koB%GBk0YkHF zPVTI1JDArCm*V%MkRRP0sMx2Ud}F1+PkR}4%>RjEs3y5Y*Y<~Vjrduq?9FfF++2Kx ze#pT~CpgKD9sEee|0Wwzd^HTOn68RsMf@Ai;L7K_|DUsXj&h!T&F8_}@r3m0(ei}a ziYM~;0o`<0r3>EyIjokP&!%~DZW0^p@8OK$B>vp*^DNpQYq^g$ysWXcXI_49mM?-Y zTx4t2*79VEVLean4eQjDNk4Xh`-8;CGvV*B-rU7}vbMWdIUxE|-k}f=vSsw!#aNcx z0VkSYu#rtTLDq+fdv!Od?nWanx4Svr}BBIOx;$U?lFn+(ZEN^@HGH}dmoezZXUDbM#(+BW4`;FE)^3UGl9 z3GspWVw8Hpex!4Uzm$J5_)FxktL!NY@m8b{o<<+!^-=0-tlyQ`f1mb44&L|+m<^xj zf=~RRTz@x;mla!?-YMWK*$>51Ax7T*vE&JU7wWbfR2RRzYiDbnejg)WOC9rhku8gn zXC#uzIkgo&Mm`-HuP`~C)6wB#+gdXe&yqZyLY57ucS?l zIA)Z*jK#=&S5Hrz4PNQK`-y?8T`q3cofL|lN02+U9YJQ0y9cD_)kk$7~^ZemJK^EN zexP}%m(1y|?@~X|Ft?vMZT#zi7j$Ejf2}#mzxMK*`qz{PAKGMJ{xx;}3*!sc@T|$d z))?}y;c=7Gk9+_6 z0mHw$f1Lw!;OF39KS*qv^>KraFZ8cNzfT>3f1QJub>JjB_N4r4@g2F4nD2Ctj_k$P zexAkizoCB}@Q~pN`IV`Eotd}!5G%1~$YHg}zm9!L?hKFNcFB1<)*38%CyAWP*w48phldbSlCj8|2 z?UFg+_awEQDShqs(A0bm)ylLNIigAM^|j4M&#iChVsQd;8sY@$p2_(3={paYU+TYt zJK1{Et!-#zeryqqpl{)v!Mprea^ESw_68q9{=M32PV(`iIS~)F*fhfj{hgxz#8cwY zEX}cB4Ikg-`qKIN`oXqTuu)BQJuY(Ng1j|E@+{ihGZOFVDRH*`Q|FIc9HqZM&fnU{ zL(a$e8-H^mpZCMeuWe4ZKpuj>9B>osn&6`v9O6B6;GpL{;Z<#Wg;#u5!5R1y*|Gh; z!QUj7OXEt-(fk0{W{&J%N;hn7LEAZsNre-&)qWy$;JCfh9xK=W9-WiDzX9uB z|E@{PJu8nEkBRK0@+7}jJcMuGly_78(>-s|Z_Uq7zPrtlXQi%W&Z~EL9Z#PDPr59{&9cdVsbZb5kU`To?;lTDB=nD6%=0H^z#bs#+xe#0|pAD)GN#Wz~_ zS044K@J|e;c`7cPhz8mNTqy72*ETdr3+7qL;|cr-i|H8u?d%(=WbPXb zGP%Uh$?QGy)|59Xgx&Lo?7etpwv#ulak{^q{V-nf&+=d|bSZo?%gaHev-&+vb-$zKQHTS#Q(wAg$DR$q zu;I{wrOCiW+LJ^6rbg}tzG?D9R3`iIBH@^Ez?JFM+S%0ScXB4W^K4hvaqQ+NN6Sf_ zZ`)t+u4j`i`|ycey~MsN)E_+?UyZu5#g=CVhAXJ6el(ZrLi*-!%NZ=>j%NMc$9q(f z|7Ltgccqr6Ju!SXxy+l$WuC!Zb*tDrwE{i3JgGkee(8htW%r%#wM9?L7h-*$cgo=h zo#FRAuJYf@{Won3eZt>OhW@i~b5jF%!0GHJWuvU=cL`_GQ4wvbi|`3)`w_LJj^X8| z23~^AHhZv)et=E$x8LM5Mu9Q>PPj8jbI>#WT`Tck+Hm&|y1CciSz+Ud*J;~TVyw*h zV)Rx1T}6`D>^&mrRGq`q9$TFi)%eJ#`DVJiCoY%V=)*qske9M?v?pY5@PUCj*@nMF zKOBKSQFG8eMfx4u+uWx!cj#hs=R3{qfZJL;Pvv`gZu5-asixS(w=>#wG-%Tw=q5aJ zSBGK(ouAgbvE*0T8Dq^AUNOJCs2+GRoKR1&+ddc7olZHqQ?*yQa8z4CIX<}Ae#w(^ z_3(u~|6S!$r@35efj-&MgCEMfO7H7Ir*K!0*_}z~lM5NY(Cz?75zk5&{JPrqXiXSh z0S$Wt-e}i>d=DzlMZS+izAMUeatF5L_9bz<`y(AjU!xkcjSgE#Tb~QwwVnFfBfp~u z9mYFFrNd5UFW^Kv%;H7Hk*t~jk(nv*pm@i_Z2AFRTPyRdi+Ne&hOlj3f4#QFe}$^<86 z!S`LS_!U@|X&$sK)P>ZseT+qO1;!%2QvX`Nk<8`J75`B13SSoUQr~1`6*98Nt=}~5 z?b>5|yY8-_2hb62Zx=RU1e;Jp|JASy`mSh?hU^1>cbxr!Ck?N%6X=L!jp}K>;G~0n zbACfdRmy+>ZwCS5Kebbe|%Gk?sak*ek_lPlO}O$llt5GgeQd0 zKh@e)X8f8TU+{@0+>JK$>96@*cc{CpYk}+)+$m#zFLmF|T$+8JXnlgb1nbZwx)}aP`wMpgTO-evBp0aSUYF#sH_{wc(BMPS~5C!!ug*8ZMhm-yPNh*1>az zqkV9G6Iu?Um$sHWxkt>!Ji6=l zzP^QHPs5wfz?=UFUyh=~#2;`TGH36qwdaaEShtj~t>5^Yx)UJ%jlVeRX==~Wg&{X#zvnpFO6$+#H~0v@ z%|8c6lAUIJMrX95eB&VZfH&b1fA7BXqFtXRhJ0oPISO(O*smeZH;x}IF3m5~`eYF< zp_BBHaQRQ)0GG1GLEdt3sXVv6(}X&jH@SgbqxyR~e-n4w-_A}B+26C6197_jJxBBL zf6vpr&^5G8c=t;)zM@=MS^Sstu0L`(M~f5Lv&rxmwt48!g_8;R%VGfKtl%m62+ebe z)_eXB&*gnbIu~ekq;pa3_}_yr7fy06@V1@dYUQzrEHJn*6s=bm%v*6Mao2OwJKFozcHWWR`T5r; z);qFevEE7b2zn>gBh#~bWa7F0o733)7=gySG}j6A$^S2Cta(Q?{_TGc8uvB!tAb z`<_&;ddp0()y&@{R^Ey|yiZY%3iT5A3>v!-6t^MwZ%0jel#qQ|-&Vka+IyV!1W61{cX>rTr zdiT#vFDu0M)o^CP$qF(=ew#SAsqKtpNU^-yfkzi>&*1ObJ{F?w`0bI6jpCuL%w>c* zFc-bES!eKuKAxF}-g(bFhM33D$NrjmPzN1KpHYmQ*C#Ype;>;058A$7I61<;-d)hw zkB$(om`*l7;CYrlCNrnJwzI#OX&dpk?%@K*_8zyi?VgRh7?=I=-Sw5$HlK%|b6f0N z)0m96s?B(cIYND{5#O4rJAV5YIfs=DggP&O=G?TJCLcHo#zeqyp{G@dVYC=e$I>V)oz|& zo1mX3BY3i~ej|F;Zj9sqrWo&@Mvt5AfTz!IQ`h6b>Pkj`D+7BD3~Al>Oi)+8@o!|u zj&-}!Wo9pQ2ZZ)kk{=&hV{HoTL1@GJk*x!>FA4cg=lV6;GAG%T@ud5$i+rrKyT!&7 z>(sQbpi`f}Cxh#F4#DO*UFX_juY(=f`W3Z3y187)xJNS=V)flIPKcFvCl9}H(P@91 znMZ_!EFawSSaIDff894h-4SOu8hFKS^nJN~|9Nd*@OPOu1$59kv2^|sEe#<)MsjvMzOAF!vBcc3-Hy}f7SF13H= ztD1MjLlMlPh5UhZzHZ#1Z+tC-tEi1=oj1?zZQ9s4FMGvv&wVO4s-4pdq-1E?RjIm?S)el|E_kji7yFbYH)APG` zf7*}zzVB-6f|!J{Ehfp#A?W9y{ErOW85}6@35-oPM!83H!}yE;XQpkOcauz)JIBa3 zjwu(l?^28 zPj@{w!Pt4@hVfSaLxv{V@p5$7{nn;43dTX`JCN z`EmQvtp||rpJ&I-=_Aj6tB+vAU&*~)O|WPB2)2gzXs0rwJW;SWz%g`3wvWDM+Z+4Z z)|UA{YHgzVPom8+Kg`fD+s4HK4~Dp3cHqX*;x>|h^q;u@ z+P7kbZ$DMsCeo7)_-S(??@n)P!yIolwYl*q+Wb|vO@9@d{J`)$HVUaYPz@1H!{Sl8R@&lK7H z*IKjoGFl7gIGCT6Mf<`+8@peae(kJR-@WNsc&(Rf9a{VQnN#EZ-vQ)}-<6fxgXi|- zHJ$(CSr^YNUxFT}g*8dFVc$$R<7c^BVD;zx9#)@!t5&Ff>SZIGfa|`*L^&bD{N&oaXohh07 z>VEExVczTmtgHMnew!W*^q9{%4gXG%Cf(}K%rxoN9)I7T#`QRD(XGPQY^Pf_kICxY zT2}AUk9@HE81u7|ojl!3o&Rd{>8^jC?^Ycg(IaEeWNWvQcfuDP8o?L!dDT>&B(qz| zJt+sZpS_kN_@R<1FYE#Kz&=eL=fJg% zJkB%d7Ur(}O#?RMVF$P+KUH53EYLQ}<@nr<*E8BbVtR%A-uUg&-pCw$Z0{k5<9zcW z?0u7d5k7YG;M3xl3nvHYkF^xT$@eF~N1pCKDw^&kL+VUsPnGn zWZ<+?qW!t`-`9N5dD<@*^rp=ReK>x5v`4ud?YRwb^>psqQSRJzA3h&@y@%NAJ;Yvb z`pW0A`^p>H$9(m!XV{bTkMs`@Yh2?y!Bk~0(r&{^dpqf4|5R>dBbBrIWfq@V8o+x+ zZ5RC_!z(#$WuIfdh;8%QZ2LTXdB5TSHsa}}UKh9=ZaSAhH{`Iskv~v9`w{>BCI9`H|Ng4~e!_o$(|>=5{f9l_?n}-_ zUqZg|V*0(LyIx!8zSHq~-0#Z!=M8Z8V4XAH=A&hO6WtT1_XFGBQ`M1=#kcNo!3X<+ z{FJ@nJl4hjtSj}W;j8>BANf^bon5vLy)cd)va{DZ=R4fVXDOc*%%O)lzdsqbb+X^` zd&ho@J&NlXufzL%PjQ#i@&2qe^((W0=eOLs{^8a1v${Kd=MZzTGubLDb#sPS`kFfs z1&8jA(|DB**IsuR46pFdfn|g?*h5zzc2-^z*YpOxdi}erYtXSGAN&^18qIch z0aUKPepiit47Tabc!}$WGiJ$j4=Z@+_47<=et!hN=oisT?=H;a1I8fQmhhwcN#O&(y@4m8x5m^vrS|IV{@dL9 zmxTw(fVE?+5#GbCvT3`iTUpzgpc^!=wEPiY{s`spYg+y#Uykk=h9A@N$9(x?lnaK? z|5ttaS1E_?Y55br{0YjLUt0c6U;a%8>)}3sW*xhMOxqdRRM+6E)Hru%x<)<={)hC4 z=^AhncuwW^o-Li1N9MGT)btO33m+rQPiJcr;X-$if{V0Fcu*O5NXvu+m4Sn_O!HS6 z^H0k(ca<^sv`q6>8S_rdG-s7D=KzOvf&I<+(ku2i_0aEpa^#A#SPvQRsZ6|jRztTK zjiJBYt1_bz3mQJkP9LjID)T`Hi)YjqaB8o+;ZXNo@OR+p;j+i$cd!@X-qxNnvCHx7 zrz{VA7QgcWe2<;@x`WWf&Z6Oa>itAJ@ICJh z4COVIYi|YP+IuhfZTBeI{M`K?Va&%F(_jP-dKaeN@w;AoLco`3qq5P<92^F(^o57l z?#H;yk41eu&&qGzk<#VHnu(1!yl4B;9MK^T2T`APH$v2BjlZ$A)N6*j57>T)?rXsl z_}dB02Z32Q5E;_IVNhb+4-Kl`(oj1N}V;tv&wi{Sg7*FQjguRp@W@a@xStg1vSzZ7=t@ zf`c6tiOSmX{{xIAUX=`-R&udiZ9g$o z2WK~t>(6j^vfh^}-tG`@i&yoY6?he&5ZXDs8tveZ8ZtWwKc%vHe}n&S@bDPEk;@ck z5kKh+=r*2l-w^V8HS&5DI^rsH#D=jyh4y~}ET3h}819w8{Sso(6~KJjEaor=9ilnR zV-9DO2A=LI4ZL+)vSkh9n?9hQ?ew>UzW()??D^!z`&ji3FyRLO#_oUEx7_x2)em5s z;xozYiK-u-i`>lSGZVac-qT%RMt{nUHsnM`=eN>(bg8?aG0;-6^$%vltI+ns+g8|p zb-KUNbjVy+H_%*rz>MCEA$m`G?2yx20qyCd3;k31&h@)S`K__MoV>&OW^TFzVstM2 zCLYiniIsH^PJl~r*gU9XyukB{KOYr%*6JvCFf)?hxzzKrt@F{LzkshWH_nmF*Pi^w z8Te^W9J~^kHg=P{fJT=?qs!O}a0xUbUO7Ol@-*?uGv|`yI6J8yT%FWY+j0qXx|ol2 z9eORcD~HeE_bNUs_$=qMln>{&4lm#XJ@e>{4yqr#yt{r;$97N zaE`8a^`!e!`HN)K&Wm~ewRutB=!xGQ+8SMn*@B+4d%GEP6gUp9OY1wnWKI>0y^7~& z^E~uNeVs8AosHJg`?7(|^}h!_K^q$j-5AFD57YkUVs0JV&KuUeV_0U^G)HX7$(%o_HXyf#`L1ER5z?+9%i$dM?|mZiyoQ_c#}>K z@@I31@g{z>-x<8YpQCF7QbA zsgL;)ttpFa{)$+JtD>8DA@nhyKIZ#A9&O-E{X%zgv=J}-Z}#3j&d#dJ^L|baF{ct@ z2q7I}E|nt2REaU9LkuxMDi(AKknu{RjWNVXPvN!G)4swWJ;BnUXr#@fIH-sQFGB^} z?l`SuYSb1cZByzv256<7*6FI?g0dp~=7TWLA!DlT$#L8IK5%0+!_dfw~NPahMtId%p0<}~URGUvFt%&jl+ zj$}@N=`Jco5&xIL(&5)cQRnN##+!p zG#O)zd@OwYy}ZM5dKnKSdb}&r%Fv!YoJzfFeGS%c9xxBm82?fgBT2O=+` z;~e96_*=HMu)m28>4JC0s^SUeCh$ZrJkqr|lpWgvzoCN?fEjgsxs2}PRm@EJHt#VxXZ+M>jh|>pUf~<1a27Rmft}qh{3}UY%so?lYHACe zV!FU#f_Hrh^iv*oYf>KeOnq=(@NxSS*Hf}}&`CU0Ulhm3X#ubHMPB{yf-jpg1^)XK zO96lJ<7M!I{HM#Lx1h(^f^5jfo4T4W*m!H4R_*J#rd@@QAvk6W znfFE=`2@KBg!JogeBMFPRCW-ZY-PYi(2HPvWoCui@FwvnT43 z9^~*E##s7Cde7&~(B1S;Pv8yB0b9wi@l2v~%%-^fCNk*f`~UBd!-5a#i|Kj#_VuXe zm6!78J7c{rL*;kl#do_rI;)dd}LOII)Oz3R_niWi9E*BH}~~h}$g*GMvVB zbjAlfB)!Hn3pSK;Mr-7L4E}O{8uaZ#%p5tVE0gitqI-DZzz3yLui{oxM3x_x^c3%U1mfsWG8Xub%`dKb( z_E@mUPjOb=p9?R12KgfB&T;LTG@Y!N5A+_J1-)DkLno(AopkFn<;_;Lz@@3J1;95y zAkg0XFfABPzloyU#pD5GwPk#w|7Cv|!=O(ude&`5@LjxbK|}pKcyDjPq~DNUw4JuKHo)f(`DBe58Jx+$?OHBfkyaouhI1 znfgZF>^&cS`E#>yR1i! z{~O+YPYO8L9(bQy8A94GuRA)PNmz3Ec2_sAN6I#2+)Z+BnLe|c%bg{90QXbCg;%s6a9rbqY}nb4 zwwG4CedG1VVw&y$(c02c($%j{_8K(LQ8E@ zY3l?$W&NS7=-R43@JPTn>CdBo)#y*J@1=3xWL%3r#=h7X(T2vz&h(7wvU{DxHk^hT zHuyGROD=BZ>2zs}bg4@QVqM|-ou@#bzx|g}qmR}CPDY#F7GwRMgf_#`jzpa88<_GK zOYi=&WBlb)=>vM|srKQTsrtb93<9@hA4u0YN;fv~X-Rj=zlh`A%%AA1TJ$IQmI4{y z6L@k?8;B%ley2r;K(;oir@n7&1-HGFlOTX<0rff|u(ShU#djn4L zZH4<7^_p}t`0MTobRDwHkG(*&e>nS0*l%Qe^0a4!pVDXSS33KQ9$^27_OK|A{VCd; zQaR(=3uE7Mu#ahf58t&U_o`rj<-d>DZp3!ugEH>B zYg#Y76`SE>FF(}h+s}+TN@=SohyCv(?cYjoh}O%xCv@M3{a?slA@&H`f9@#}4egHN z4O>IZNq#H!i*|xfVrj#!>y+kgGpBkv?G$|R`N$WHz3$r(?8=(%iMPX7mF{cdiMY3j zy-wOcCZ4H$_L7OWdOrN3y+?-Mnrvb-u(kh8W2AH|KSUe+AEmxOkMO^v#(5Ru!J99c z*jn4Uyn4p#mUo=JOJ{aW{E*+fYS%4)QSJ51UqqV9rtNf?>~23^q0WlhwaW$XaegnV z?J}6v2QQg;oz;2Wa`q1#KZpM*++7iFMmoNV^{v47%a=@S^!~ATO82~oUV3^zr4#H9 zX2#2S{;Twn{_8Fe$tB-DYYt^&$-bLAy`I?bm8~o|BJS*zW7>qx+Hv^!F&63-;ChL{9<2b2YJ<{$BQF2HjNVFNH^S`@vd_`#7Ger@g{^9nW>(S-q$EyE5j7_z(6C znc|Z6AAIfp52bhTf2F=X<37IC-QkWO;kvEib2jCPpI63mjJeu>YwUySk8QNL&h85L z99o|r;%*g}HS$dMH)rf;3+;_<-edQ&OQ%|W-e<6Xw}S3G=K}FH-=@)?$|=2rwDev2 zSvXt?4%$;^_GmM{rrJ`h1Y6XGFFCfF{bjCigeUN{PxxN&Fg&j&4nP^Jzq)$}d;bE5 z1 zrfA@Gl&<~T>YLG&vQ?wquH{ZIwe3HZ6~EcO+Xzc(8Uv#ZeCa%=bnWvj_M`G&aJ2tY zI25oXza^fxx^u$)R%$P!jBKvepA+g!E=FnN2tU_r`}&t4E7t^hl`aw71SjRmK5Ji~ z!KIAe4K6y`>r0lDh7LMDant4dPaJCO(=Fyk*g3Ot)$nv1$9&Y*v5GYad|=xPH#hRx zWAINc*e>ZJ=>)|FQk@|i7*ZlpI~o^l1X=!=oi%&+_$8Pj` zs4-?rb2xgk=lQtwmfbf@UMBxZeg}C+%=f?s(7xcQjaqpuuEqvbvNJUY?W$zNR6h1w zmCEbDQE&sU=EF$eq5lj<)Y2(O>TeAc*viWpJ%#2Fk{?9cqy;4Nq5R@KRyagHQpcpME39} z9?u>=rwx4Zhb5oplg`hu9j|G;FN|{y@yX)&A3xCG$QObKL%oo81o*OH;?a~ZWsBvD zn=NMk@}DIKlyx|Ukoaj`7bygvG%Vuy|ID2IEs0YQ6t99u2R^rd zf2Y34r&XU%1-|!R&*^lkeQyO0g}$AnQ=9Ld^t zj7zW23-H6-)=DqCzIFfI_1a3lud#hK#5`q(>#7%Rj``=wyVF%;ZRH{!#xvpzc)bjN z4)ATwUvLuNWh?Sg!5*b>gl7S}L_>{1Q~WE9Gqj#(XRuzz>#B<9Vr{sdduSuP^(L ziYHFVH@{?m>q&fAK9}R8F>qWzFdeQZ@pTJZS@sdIZ)N_uiFV#jyQYhiF*1I>uQ9JL z=U2{nlgWK8yJ2~~JsZ+mW6LtKJ+X}Xr+o^8)pm>NxEvJnvkhJD@+I4l_-1aSY(7!S zOYKyXjc|KKKL#VsrSFpY-vOIfCi6elw=t-4t_Nj5z6*QbpFRAXS=f7gJJSa(;3`k? zuQ;y^aCujsN2>C5mWTL3^c#&pDFxPlM&ISB-c&; zCOochOh*;lVZGevM$A*kZT+0_AKTbG4>ev=?1!;Xp824XX{EtmN=xTb!#;k>r+>;% z=Tatr$^*{;uj}|Fk$0pojPD+T@8X^nmCqg^eu{r0npG&1xlf|9WUD7xC{EF>bK4WKeN&05{&yw=cVsCf!A6n5u z{8D^dTGC079E!1<$Jl9pJ^Bp04_3N1(|S!68^>ObHpQB%ZTHu1?tcG_pWXau zg?SC<5f5oSnzI$h-}EqNA+a8!^UkgA%1LT()iMc78K03w~KXb=fN@E16q} zF4FU{_Td3B7>yBw?B`knYb&`baSkg|F{$g`~1#q;9t`jYT0XeYkc*obz_ zFEr9X#``Vi-PFdCuvdfqNzgy+CBsMZb?hMD-o9YMcLo!@w3np`W{QjCBdrG?ovfbr z36$w>?`o5_ihiZApoQb0H8stlL=PKZVoo-`Po-}OT%*^i_N`nG+bDdd?HhGk_AQ}r zxo^(DHOW5wd?hipLZ|e|&pD0n)hoID<5oJQh?Pwt7Z%G*=+>FWG9ypUer7Uvufp^4 zf6>8ZS+Vmhkz3}oLq~eD{PC4pexBrB{1joyzDQPVJry17YpKR>(4oxlT6$l1`jQ>{dKxOcFM6*>w&rXLYdEbzi@)#&{YqZOqPX9y42SmAsyt&@{@9#>{LMV=kOh z{_$}X9jyP!m>NutX$zPdC;dbR$%5z-#;Wik{+dw>#$VU7!PV+n`9iEw2z_K zBXEi`ZoERw&1lr~+Q2J|f$95(<6cP{m#z?#6aIw_!@sDn)VJ@9yKLRcU=Ig%E{o5Z z6T4X4LmkUD*~K}~UVWEcL}%H5*+t~u{@=)d{1%J-F%KVb-%fiu=7+U=+Vwq4L$$>r zZJ0EzFN>E)SE6IkGpuh9J%o?pYs_i-Zg^Y1V7dJBSp(78O!_&!jHjUAXHO#knoH_F z3Y}*tT~P2Be5ZHmIg8mRI#YhE=&1RLuZ;~y|H9Md6Kmcz6%6THl@Y#@FX;@kne#(? zsV|?c!-rM8ycYan_q$cTLY~K)dcM^h$CLcYhK1*3AH3#!rGO)R9G=B;N_9PsZ~6|H zx;NC}dR|j~_)cw`EXY^d)X<-GpYP$*@1q>+o5$w-;>2Al+cYOSBwhUs_6P)fsIl7D zuesXt;~!^_z~f887^P!oG(^6AJ*c27a$BUKi(PN3uNnuvYc6AbiD{ZQa#lr%?=jcV zIB6}`>HXvX-b`<=EB{h`56{Nf*%~#lwbwxTYE%0hMk)Ud&QmLJ!j^gZ6L!v8a$aFc ze;EHVXXpMHi_aIdkiL|imY?9dQoLLZ>ucuIO7|&^JrQOT7D!)2p4UE!gy%EtwZTI_ zh>p^S7F&camd<=r={Db#%%fX+W6ap{ZwvXp#%O6#w#4i9j;<9h4%^c1i1p%J&U7+k zIksSr>Fc;3Yj1~Q&e4aoGUo4wGO2D(+eu>^(nZFrqFI7R(H_2DVIQJhRC#?9Vz!ud z#CgZrC#(9guVynuWBKzu<%Cr{$-d4$; zY{|bevmZ%{|ovzm5E#b>Ho+?!7o$F#HsANz(67>!y22dvs2&N25u^2pI|Ls z>(E*=?l}EL?KV$fjrij+J&Q561FZs># zN7e4fZH=3CXZgwUfelXFUz7L}-mdLaO4{W9+6m#PHNa0$H+?!j@)MrwI`hO$$r^L> zz8&TY?cl$hy+6zKjacyK&t@E|^rafdU?Q2v`P#nc{qT~BpME3w`8FP-lvRD`%h_$m zZ4AF3((vQM8L7}$>r;oRXZhc~WMT#Tx1FX(pz93QNJDIh{Y&tc#?Ih>TjS08yUF`c>c3f$Kb=uD;ci#WC z{IoNA+POD@GVBH8zvQVX^Ha*a^g2sd8Nu4s`TFJA1-q7yAYVnfG0L5>y8%nprBJPD6;58lL&;qy;*Z)@Lm_NDEi-DSr=p}i60{UDZk#u+=8f2#J| z%YUS@JYRIyCG8pV#aV#RUwfL70m*(P%yT6}O}yC8n%-L0^seUnyww?dZurKxoq5?> z=I!6Td}3s^#u)mMr?lESY~j_cNwg*L**P)xg1)mDSct>0t`yVP5PMn6H^b{=>}x%- z^R>iX(mm6}pn8+}&Di=73mR4X(mSkMDo$ndAL3TTGQyr|U|9?c*tTa{?=c4I@s4^@ z#`a97?K1}~mD^p9cv@Sb?rz)9jxXSN$#2p6W9mmM&+Iw=h4Rup(^@~WIaI8typR@r znF7|p*7iDk(59ETjUwMn8!G2jGD^D_KLIrs>%KY)&TVlx6XCE_G{=- z#mIm;D!DC1X@~xUK5VY1G>) zUCz7Fn{T?Otw#*c+xxS(QIB`4M;x!H7stOd##1d$N$f%82Kip2yq9{|_wUjNv)PI( zB;Q|X?}qxPZ#^uQcr*M9kFUU<&RCW$_+#*Q*db25{GiUH)xLGrW1pbqJ3Uo)(s!Aq zIj3SA<+WO^t9*rcp~X|@Hr7`&)@Cbw@2l_3p7V9qW8pEg>$eemQlCm?mr=&@?}+)t zVTHHTrHlV2oA)*Lgc_V!PH`FS^>f%Jf265j_T4n=#g5YqZ!2%$V(rWnzqQTr^<|a6 zg>UTs7yM|r4N;z$a;?NWN<+sCNsd)caSZs@zMG!SzFXZRrf)DV*WTOtw>?W`g%>{e z(4c5H6-@ZHfXRG#T9^rsPYV;CE?_cOnHFZk|I@;R-wT*SCxMyBhG6ca?@f0Nmw3+N zbnDwMQ2bK-m&WPzUc~5H__dOe!S#Q0K}~z&(W#w@E_XkWInd#5#iNOn*`7Ap3F7iz zXE4ek@mBlB!sdpnuqjo}q=l!o5B~BSvOC9Eo3r(!GdY9i*`0S+W(FH&^Qyvc?mB*k z#+^2@h3HA1@_Xe!4Cs51o56$s`fg1&vRqd@qhAxf*vB(*Q)T}I>x}3f;V{1E&!mI8 z$G1HrJpb@_w0|JE+oIXmEA|t%{;m;O?YKDCw`CUNt~XO4#g)wa&Wev^RK-=swlVgyypaYj4)cH*2d(4e>&>uRVcWiCedS40a zHny*10pDm3qsO$?f-N-|^BXW+XZW6!Z*YsYOko~LDPOAdusYOC z#ug{0{!;D-v$~Q`?U!fGY}jR5FqIzH&AgvQd99tH1B$hq*p}q3Sl0ud*AotH5w`*H zQas;&`Sn8)>VGGKd_vqxr4?_^GfT3 zuc_Ud*hh2|{W1Tj9`SQpmiu920nIfQD{g$larqGU@NIs<6VSuHGm8DT@78@T^I$c<)@CaRx~`$8O%IqC4SIo96o0?#4jh7+xKV!a9`VgOUk+C-58BIC5^= zoqBF%eOFJ;&CZ!C?CyQfj|0&T<-DGuObx+iVx-`^W>bv_#b=O+7BRa|S< z{)s~;+uMVkGTX#@w0PBMg?>TLqo-~+er@Cb+^>BYpB&mU|C9~cnVoch$-ta|xA7tK ze)BO+PMi01s7?7J)^E|-&$sdQJf*dv=lhqj=D0n`Wn_5HLp ztD)=9?b4H^j%Vaorkx6pwS1 zZG_?{MyH*W>mkl;F&)yg5@gj|Ko~F9#UY32X zH+tfJpPsniC-E(s_GZbq=z%t=Z-L)uJ{CTh^$8l+o&V+Ey}C38@b$3obNOXyE_m2! z?ZZj=Vvel=+t}Q$HQ-Yn6Zt(UZA2fV5p*yg2D)g!kJ;ohjS}738F|jym2MS{Qr(KL zSl6D-t&?dn=(JFN?3?uNFT;zHaqY93uHUk8#v^7=?>RVwGnMUKvJ1~tStI#%?saHI zgG10@;-+o;PgLVK%>B|6ZTP{Qi_jnRYOA?w!-r+wioa!aWbB*|t&htZHfnIC`%CDT z4FRv&&u9^6>T2lPzNk}~`as9D7ajYT1(|=Wu_vvfZxO4&R-gMBqttIgmc+;S zz04D1U3j%K>Z3t;!th0>m@h_NZ(NTuI*OMVchOnrF<9EnMw-dSw#5HHC(6h6I+J4j zNuKPnXeJw>IGn~i#ixSbs&CoXGk%IWw#qjdZR?(RuF4Q|w7#xt&~Y%@i;xoy?75%->@^Hipny_!Ka7#>y<>Laku%&9Co2Y6YVSPMkXqM>ugjkOgcDV`jQn z?Zh!pacP1Rzwd0sbrKuJILSuMKJO16;rzCrx6S=JdVRL(b=xxs-A~qzosSXw+&4G! ztj1Ha1z)AUs^i*=ovwc@+oYIKU;JO-+(GQ>?rc*bkH8QgDSoeS*JLwnE-arro@X=c zF*!i?l3!@Q*#P$pEWaN9XPUw==>uT}Jz=v+r-2gUHU}iwYOh zCu5fmfrHIQ>Lr{%erWr_Yd#u%#zU_u=Ao+VztsNy4QF8Pquj(zm+epQQEU2+s~YrM z5eq?2xL#AtL+4Tn=l9_sT6*H!I<1s1UapL0`Fnl~`J;}}R%3NlUh&{N2R@hjzwU%$}s3)SBH!ACI)tIK;W!OPoGxlw%BS6!3fBpqll ziK#Iz&Sxsiw;zvu2e{hzXgHn(2iC{OzfO6ly|qW$#>W{~wbQD8Tw6R!xzK<0Z}#n? zgVA@*E5rDMTd(g8Okv@B89nZ6@RZt`JwL*;eBd!(aJ-h%AK|w42XTIq@YrC&WBWcB z`cmM<8IqImLKd99R;~+tRIaPho_qn>5_n!QBz*8G?vw3r53!$~_Fyx6b`X!?4yeTU zD0Cd@;k$SC6qS4r^-XP7u#0-msBo76&uYhv{7W;Vya2nVJKN+3Rd`0@|_fWfXHWU7_@w+wQjiuIFWsB_HzZAHs&a<~8 zb)NU}QCYPe_#IuWIfL5#6~HsT?aA^{_;}u^k?J9Jn`4i}G@U*#qDlendc?e{(GiU;uDWo2Y- z!_V)FvhfW3D#OFum}}#6yR{d`yuJneUx6;a4qLT3vu_SY)`LH3wKY)(GS0pJeb5&0 zy&8Piu!o&8SFE{ZXxceh5AZ2pqdfQ5QSX+arukS8ZOf+8rurh^q5l4;hu_b7j@nA( ziZu?Sjlo<6%=feAnab4?+QUzm&t88o^MC$lmrkb5e(6f}5q=zdZ}Pp@wnRUb^34~- z=G(Wbr9Alp!e6#mKY9%g@$)!g$%XgfhX>Q{?pCL)A6TldF(Y8AK3_>GanZo zTE7}yFFYD)j!(v1U4FEW>Bza+#3+8T&dspB3dr3ka$xygAx&|zk#q5hV)~3Vg3I?} zYe<(*jX$k*h9ZAm%wHGtz21hHz9F{1iMrHxAG(RAPNX@iYDZQ1|#e{x`3$l;V8YuaC2a z^$Bd!4;BQUL2(kZCFm#Z|8AQ1VKdAZ!Dpu2kgZ`w-yWI-9l(BrTG^jo0G|48s*(lY z7Cqo)oK~_CTC?IT#=-{zk5KN`MtslGI+}f2*~Z(D?-lwEhBh=#vS*q*baGbvO5P1u z*_~O8kLyi`ue7M21>F)`almF~Gc}jM*I9O%jiq8;0f)qgD)}q^O~w)U;cUTESNTlE*w$mbMr)MfDUFT(n@)WQ-_LP{=CTdO6L&Rqz4OF>=DcNn zv+CoiJ``{myMb14Zf%UI>Zaqcj{1gYTzhevrFg2&KpeYgtGwYK>`1XLGgaI4!TG6- zx3wGRalH|5@2BXfb*42>;PdN0`q2C8^wWD7!^9uz7az?e#zZU{U-Mq}Z|DpJ`CHg# z`_8V`fjn!kMjDUwvD?nrt!C_2H~47KX$l@X14Q4>2&YOLdhP=Boc_aK(%U+}Px}w; zTOE9+vDKwLPv|YHukVIr+o{{d`f0kK-@ZEpu5h;fJF-34&$@Kn8t~&;f&cWJL0^!G ziI1|U#mZN%2!0qkUF%N5C(upj2`1kkR%bjsf^Rjt8JgfTu}{gKg??Snobl=`+{dsZ z`a3)DcQ%5r$yod@dqI>j(nZ&?9rPuoE3#vH1o{}S!zX=Fzr06uiu`VOiL5u?A0N9W z_&eqsC~YQiJq`ORyJ)bsHF!&D?tc_^4VtO%qR)W74fORlc+zorqw*czLyfgZ?Ozja zmATQD(N?GP0qKetTmGuR1B#95til2oR+=rw z5AfK|r2Z3EvHmme)_>lc?E23Ynskn!Pd#YR9Q=h zPwku)(uM07cErzpDC8~9#p+H!cz+Chx+=mc%qeQ6Jm@oCzXn+Fpy2Aq{3iGt@Z)y; zjghOlGoeLnxkikxlNgx$=6~3c$m1&lk8?L|n4@lx{vZyV z#+cn#Xc1%nd*P1GgpXN^Tvn|2cE)>x6c>#1S!=UZ4EhK#Y|RXs?XM>B;wp1i zGvc>N{2@QG8~&LU`Gfb={~DM=KK`6`6(bh@rtieR@b;jOm-@BJ#>M=JdX((~hsUr< zzCWi72RSJ2)pa;-yZs!Nq%Q-}uQD6azx|-u0c5J5HE@d^pnvugJ52RY#pN^V4fm&= z&wFD(B)6W|#P74%a{>(}_M~);TR(A`Z@wtVL8=#8 z<+p+x{Js73;{< z(LCMw)OGf(hCfv7rJ$VR?C7cSt`7KCGQOyx?;O`o^p9e`zTe0Dm&Sqru~i)Sko=G2 zyIy<{jfd-=^7?n!v$g$LLZ90;K9QfnFZk&^V}J2sp`(u*`xM9Lxo%h!(yg!j-`~Ie z*!}2-EBOCh)}b$F9h$o}pRjSJp8BLQPTGD#cPI_I|4*L$Z^fZ3UZr+F)GnY@ZgY*4LWLUN$|(+wlOwPcRmw7@~89!hMh}e|ASv7Jt-Uv4tm$%;4_&Ib5|p7ZuR9$MK~HC{ft+j zRY>oi_ys%@_|E$l=7Pw6@Gqe6ev4%%^NK@SyN+l2%coGhfLMW_tq|n6vG-N`FN<^c z%drE=cNO0FJbXr8y6#uVd4JsdQXx(N&uG5*7xcyIEe`dh@7&JAUy=8Ko8+6#Ulh;8 zRhvnk#{_N7jPuJ4HZpGK6Lo|!Z%SL$7z1zDecYyUC#h>V5d+kE&@WSOB#9eptz5CH zbj`AUdY}Q{s#yHw$~Q|lEM z9a>uWYkh_Pam{h}$EDl#y^G1j>IiEcu-Jpw^sNgvQntnBZ#-@O#?$6+_&Cr1UDndT zZ}i;mi2df7XxqJt9MRR%hQn7(z9V65dTEx zYL{`R&6e=rVw~^JCTu?*JR)3Frv26I$K;vatoPRd1DzXvW48y=*E%myb#MGYTxS&g zt-#+L+tR*9`9}E6JcI6|OdIL-&1MhhsI2(I>~9i#jK0heb5LN!IbK}1QQM#T@rk?i z{4-)toO{fgCHpJczw`6|#8}YRdXMUbwufWeDsQ@FA!F2Idh*~C*qNH{VO!L&v7^|P zPlA)|_+U@muie9baoR}Fbn`uv-y ze#xrZLcYm&9n_nQ)%AQUx#A*Z8$J=9f5BO&Bf!*{NjE9&!6Z%ZoLO`12>tn;a9&cN zZJcNLxXSPCf>&&8g;Vr1egl{%&Sm`8#_?lZTql}eMV{JLJD=yAbsxK_%KS-!L#r}% z?#MMhnbp8y74VzzL}tKqj^svbZcTYt#y;TJbvj+E=Kl|kZHc@KY^SO4z7@Ph^EQ)3 zD`T+LuR<0WSMdnr9oB6Ue(r1H0c0-W=R4SQJUkcw6B!V!lksq8Tw5?co$GuW`F4JI zci+&;(3W_)DGlFmD*k>P{&xOU{cJbp(-r#F#o4H}>vc~zvV;zh zZzBECwAQo)-$A}k2R8{`4k-@m<(CXeuUF6K< zK=A|W4a9nu7QfG^yMHcu@$~^ea}heqe-*Cgzs7TsYQ>&b^1;`2`=IlJX!+H5J~GB! z2Apr#d{R0t>!?7(*Bp~y^y&9zcOI=~_iL?3_>Lj(&t*Q|IaBknJujcJV$UP}_&~cp zSIbAf$T|>nKYcH$v0zW*?O%FNuo>Q0$GxBpxa+%-qu@R)yTD#E&HKbFo?egX1)m>k zKd5uT^sf68(GB)L)wlidWAojLQ+!t-{*s*)Ew;Y%5u*e2IMTzn0o5$*(ZF6lzKe4y zXKBp~{*^v$%O*766Q6Zm2Uqa{VdfJ2RJt?PMTa9y| zyMq`o_xXkM3t_j>&dtJTCo zXe;%f`dm-7!a?xRpYVH#S-WkOJZb*B+ULG4@TV@mpvfb1w<-5J*Xh6L-jW91ejLC0 z(`kQ-ebU~(aNyg`f>-KiMf)JS$kv=&vNgyY>m26ynSLi<`n|p*+hqKT?Qp(xAGN-N zy}P16<90t|J%@FX7;C(}OEw_JSO?=ci-$ahW%!Ao1vkp;U`mgOqxrj2jAdnRlriks zN!yUUTaDg|b9w1ir^8ciV~NJO1gB5u-)IkpVqM6v`)^N|Rz@$ysl>bVw>R~DTgeUd zw;18)v3HE6eZ%SWjqmMb+X6XakSp{5Z(i9^@FB>ny<9$(X zwN_?$C|&_x=FdwGq_YcN176G*p2fWf;N-lZm{$s?e7;tiCm1!|Q?aeFwqDNnxTE=c z&?0T$V~aWyNIWb1Z!vAfo4~_iyRB84!J8M?Q+b!4Cfq|T=9hpmCxO9#!BE^rwnMhY z{fAogp{K=%IG*`l!iWC`iVOD`L{OLQh|-+ZcIV zvLu;dJcnD1r^ef0NrvFx^0=w3`ue8;3*Ikab%wJ=1wo$#+2q^%j^8pcKap>E*tE$#?=8()>&Q zkI54AGUvziTlU{6^JBm4SmRsBQ?g^?krrq5KN@8>V}GuV{ieVZeL6RRbpq2L_ciOq za#@X;Vs5IFQOCz{1bygsrm_LJe&+w`Y(ny(ID*MDF@myu490s)jJJqkj;#&0%*Ow& zhD>}c%ETxzbcdVvVYqC(AdwBPZ?;Ib19+|X&B6bX22;t2eQO!zMC%cflW-q4|2Zo= z#aVXMXu0*$#(9S5zJX}(RNwk^b?ZAkji%JKH4Kemq=nhV*sf@JFL10~VrA-EOBs!M zQ_5(P?=n@`yCknkzDoA4=+Cys{yL+PWHic`-d(;l?+@!S@JH0k)53^yWiU!|)ym#Y z3#%IJox$S2=x8xOw|C;pX=K#mUGnMRCg1cOn!J}|I$yKCBpW}eOcZOB_{iWk zs~7(Y*^`_Z4<)wZH|dMTuojkNhjHnQcDJ0Lj(It6x-l=>PsUtn2G4aW@6(O>v@qhB zt4vv!wi@$kVZ|{wSWk1z@3JvZ&Y*8G=IQ>OA~vG+G4Yt@2iQ;JG3mp3?3rC0zU^Ev zYTuy}qfO!^$XZu2M;P$$#H-9h@xAsle=dBlL`VKBc){jd`1UGO$bZ5wm#Pf#HP=v? zrWo=Z<{HGcYRomXztH|O*U&fX23NjEe}G%O_uNyQ_Z|ESVBgVbKgGv%nfwoIxSg#@ z>`#7)@iaVDi~O4A8E-Lu`lcpLA4$g4Wy5^o3NYh5!uel3VB;Vk=1_=7iT({6ygjUk zF$OxfqG{hvtFbn{0nC1U@3^jS=b9;<_AOm!Dw^J2ZfmthQ{W2^Xm9kj|BEAi4;c=- z^*v0V$H9Sbad75<8SxedK@)h(CKYZNd-@Aw}?0RWizT!U<|7H%UwI9O` zSjYc;cIOJ?g=yL)-rUr#d`-qbwWm|I+dDg-p>`E_Pul&Tv|G@#kRH9?R|#V zQhuGX?e01Gm z_*8nHgFm5r$Vc&|^}dC5Y&}rQ=AJeO0jBeY)(WgX{)qZ!y5lcLf1mLe=#s@s! z&bX*!0Js_Md zFttq*U-);_1wU&&iS)28seSFs4jNDQN88gMWA*4Hk9YN+neb*8V}bnpdStK*z>_U0 z$z~l}QrH>tim^!Ioqcia-bR1i?kKM1c1Qk}#|8!8V$AI^|3+e9*wI>Co2*AztOXTk z$8{2?+TuLXVlI#^madMr5ctLu8ZTr`>@B*`YVOsqF)aG>@uvhtiw`Uz%v?oTj)y1 z)$tRqy(Jpi-Q(I55qaTM$4GsZ{OCEt{L9a|u92`eg9-RO$$$Mm$B+E~fAMnO`K#k) zjkS0gy*Y^|rWhw5e@JIEepszX z<>K4e{`ON^^LIZ&YxWvbt=r3&O6Rb(#fcvg*K1Q>zRsF*U2Be7=UR=8*MF^Zt&Bc^ zZ13v0&gHgvWzg@w|Jm)YuOspuhStl%+S8)OJ`_uf>*~mK+!q?oiPidNA9}>ki8Va% zH7IBM0D3*1*RQ!0c2jF1)WLT+Xg;gbq;Epn@jpy#v(n@j7>(3F!S!{~V$RoqX>(&Qsm@R5A})ECEH^*nD%|AjR(eJds2 zva-|pI+T^KBU#dZM16mDs`aF+6?0WR(Q0IizTvIp4^(%2=R}X3dFTVhx3oq*@8oOL;{EJi);X%so>)RyYYTI8lMDY=9QwOI z5_qNkpw7^+Z<+Z!@)9g)AjJ;Qi5o=@Be;X zu+*OPJ#$*)Y4L=3HI9SZ2&3h0=pSw8p!-3|dMbIQ?*-HL)zXJf#!vQl(Nt}<#kLg3 zD#Jt;ri1C@;ritGTmNjo-@9<)P{+dq>=_n6sDIkqXmiwaq48SME@N!a$u{rO_nh!l z-SH8GSatAV%|Wt8-5rNdvvc+e+kY5D1x)fH#v>`ABJVelD^`^wvP zH1^llqb@37zUlP*uM?QPuB+e!*_{;T7ab%g6-}52}7;He-pM)&F}ddHoad|JGVwzb_k4+b}trR~a9jQ$bg49k0&{&)Qbb zimb-}Iv@W8d`rIWDXIT+_+RM2U&Qx!$Gz}>AItJxMg8yah30GxJoTQ_^ZE3l&KTAo z%ElRUlL4po@G5A%a>mf#J`=y@m&@oE^@N*80c`scY@ritdSgAlOsYQT#}<(3!}=kN>102X(bC-w=GhuQ3dG9_aYs z>G}65SKys(%D)@m1+NcYug#xpaP9vx{?E+D`Mo}ZkX@1b5x`piTZ#eJc*xMp7$eLA3n=#!pt^cDE^E6`yK8z6`pO}3Sf`xmYGp5cX1+!^ zJ%urEkMLWK`$tOSeimg58F~GtT(~)2V|PaxXvoRl+U{iRFPqnplimDBPT$*7aTo}`bNM9WPf1Cfy;{S2}cf@|b{+apT{qf0ps2=x1oiYzGmVGi2 znVNfuC+BxhXiR*~(B<|t&&S_tm0$IIe7{!tGh)7-d#1avc!!pIE4m*GpE`Sh_M?ud zIIM-hBJCOI4LxV^{EOPZrtWWBS*6?ms8431PflacYISZlF=IaSq=nf;wwQIsvOFw3 zBY!PpVDhki8hKb3@d;h`PVhh2slBzi$XSrTAagGgfVk(Me=(@2)*(=C^zXnWGJ(Uz`VaImNt|QLMkw|r9``d$^sU{uD#Urn6aRnfmZ3Su z|KZM?y7)h-=RQLH3)%Qn;W_tx&xMbk3m-|=OS*dRu4kW>|NS4qH(!9}=3^muvl?@K z<5^@x{FqhH_04|D-d(?QR{l8kFBcyP#-?A1zTdlR-&y%LfxBLC8As0M9v6JsPsLnK zX5zlDk=wHg&l|Zl{+F(JfBcUhsC?Png^b~mTe~M7zn%Q|lBTm--Ve;$&US}swp4AY zo@^%j&dg>iP4=0z(`+x=>z9izW7rP)+g0r24D4eC`_Pp7ISW5k;uZ=xJx`qFXATRol~%-hI3*|e?q+`dxP$eaU|BnBH_o<>Sy=^h)!H=i9lgWSU6kJf{+z!T?74iXRiO{a^CbS$w+zzv>0EU%>VZ-BL0aJAHl+hwumXK& zHl=J6Ub!fLEx61DmjV{!P@#@u5|eQMqec14DKEO{SJokkPrkR~CyVm8`#AlQy5#z# zjnt=JP|_tkC|Br`^Iw=>6W_&4;@{fnTJ!bozhXV`Rv*5Q#d_SIej9UfbcyMS+S&Q# z!WsF=9z=c~g>H&NP7?zfOk*7KGv!B=Vn8;xz>lbZOFEiy|5n4Fs`>dMq-B*x9HcMm zh)XE1SjWht=zGdkC}VO&9}6C9p4aW&^})0A`u+4n?XV7<@=mAQ5b?}OY?j+AvsHh2 zcK#?ZlX+U^4Gy9aK11aylQd&0o4)T zC3N~`iB9i{blHmBbewllJ`mpvI$e35$&%6Or-4rPf8n!iZW`#lIRCfQYe}a_pBHl&{MrH6NgAV)&+E81jcxROoA~_2OY*^;M_ch}A2(vf63tK*zuVJX4qLtP*l-`O~=o`s_(`u_^1X_J1w)a%%Z7|-oB>&?Q z&Sg2hG4h?2N1uJ1@}dRrhdU0uF#l+LFXS}x9sPZ>_L(KdcUBj^dp~7c%H}Hi?=k!M zT~#rskv-!cAfMyb=0mR-3#i3$6F$?G7jB)EEX?u0wT}@v`+6l_)~P_pGuAr-%Mi^eZC(_Z@J#5 zUz6sV)Xi95fENxI^GfvSu3tC!im7#(>+^LA^L1bA6Z2 z!7L`(xh#Jvbht9=*VIl7yN-`I)-(?Thfc>KrWbLIr-{e&!Q;8YBf_; zU61swKSm!lmyWd2{HN8Nx#sEe&sxl-6;oEa^PJ6@5?|bC^_pe*OmLK3m_7hc+r#@P zxS_Mq7rX1XqT8H4kAj%lyD}|3e9%D1Jc9F731Y{#G=yKHV4n3feFp!k)CjLr$9~ph+4d&zRerT;91X z|J(brJ9URjJ;G?iFR`&Crl&g+d&T4NjzrPOuCH2!M%U9vp?3*Z)Gm-x>! zN_yf;lq>YaSue~F^4?NUNWP-2?TfOadZH~c*-3i2Nypx>JpZ`bq3kGij(|_)y+ylE zb{wqcACCB@zP`@RjkrCjn0ub$nr+VSi0^6(dOzv=CG7t_%NsrfbE0=rwq?K2W!|q| z_pMGgCt5YxkGDOs8b5eRJeyI*`0ktX*@+)T{VrLvF=BqRy+xn@N2$-RO#A$r7v?XW zuFr}o&dkQed$pg2Jt9VnbzzT)wfn&Ge9I}&qMq8_Y37GDY*_sp89&*D<~?dJL_Us+ z9?DzHp2ZM5J6wBkRxUYHx?%^SO)49c^>%xH}T5>JbOcX{%y*( z*J;)<{}yXEJs>+rrq9u6b^G?2I^4}cw0yb$l+Qp(S zd1ZZ2wDqoY^4|i6*(CM-vdKPD;q%1&TJ%r)%I#2BV^YA*R^~kscH~3Tr5BSH-w$^{ z`xnOdf-j{@uvfj(t6y8`dWAI%Vkm9VhkwV){CU)C$)ic!r0(;3_YLL4Pq!|QU*SA@ zzHBW1is@7OUSZs9Z?gQ1WF9A<#>;{8;R@sGV|6)wxcs7LH|ZGT(gNxM|O{Z1v(?w6GB4$)3>+7bJe(5^GJ z;Zw-J?J0=$>F%?kp~ZSyaV~?UHdI`_j61B zj(G`xAMUu}+4=3UJ=?3XhPkZf)bcqK{wU`8z|ft~X>33|-wCgq4X8gme|v-{+zg*) zU30kO#jEnSMBFVOerdw#ORMtVCcov_rfd0W48FXUpTwfX`$iA+O3L%aT#LAr>Fp>} zHg2Su%+NQFH(CFl_ndr-(~B~kvHax~-7A)7pIk9deyg`rEAfY78y3$iwN>m#AqFz0 zyi2toCG0m4U41TQZGZ4N`HHmdi%zZWY1`GjTkT%7XK0Sa1*T~G*mLqqY`ZLnA1d+X z=+)Wy|N3OYn`d8`|D1Q*C$K(i_~m~G{b>KD8_1JSzCQR11uwm7b^Zgdx3N?YfBwy0 zZ)2(6msaQB@p_v}_282oUT<@$-ipqA*z0X6)tlcv{xYw(rBv@-o%w(9dOf9j3%kdA zyk1YKUcEE_Bd@ouRFC=42CuiRRPV)I`A5Cp6{UL2eO7zDD@yeabme=!-b+gL;J?LQ z?`R>yveJ^kDsXO}?e0_sa z$tUTq&gbVp`$TrK|?*W3&dw%{n^>mj&(dQLw^Z!Yjor4AatlYrb z{JW$TH0z3X44prv9qXFLj{U>h{Hqb3(@*!+H`%FIotJ-!GMm&e`6EekF3i-;$@+u<`eMUfyz}a%AWq~dG2N5 zsnY!5aK}4-J-;o~eowgx=1^MP@T-opghEu;^^dQf0jeFLb==^&d z@)rTac}w$)n&uDi)+9LO864Yx7UC9hE^)Zy2OIM95;*Cd1cUzVne+22Uy!d#`^DO) z!DXG;{qh3tmtK%RD=mA`G-aQ+F`t)~jdRcf)<-txvm%a#yy0ukh;>XK|HJ0|Up}7b zb>=FQc;)m9@_(dE{bNC&kD>p&*gNDg=1%t)f9HbyiE_EcEz14n1^H;X9D8>s!Mk8n z{#d!(vKHk&vMK+j%7IsQ-OT)S`d8EUQMckFro2IZjr=B^nY}RoGwK>YD4+F~`qkNF zdvJAkVGpFYn{?RgUzmRe7#F2_?eGipLDKZ?uhvpp`oBrMZ7_{pOc!H%b;M&9ee*ay zYgYG9wU!p+<;D14usMHc?62v%FP7}totyK2OMbe>BH9>zlKI-V@DmG~u?|#!MGKm} zVj7x#a&vxdnPz8Pm|t@;nk94TCYnvRzJA-&q}dG@<{MI)F+XnNA!xSdm!MhG_jsGI z&tE|Ic#KgzINFw5>}pP9&9?q&e6>%Lx3$q1zhhYAc$7Tlw_Vzh-=_J-UtXA>CLAfF zxlpfc3uge>+86gl#6`6x8vFi^Wpd|c7i6Y4nU{Oa3;6&}vbIb;OJj~X&HD0z4rq6w(=OQqpmi6GRhjp` zn(`iNHfuz~xTe$b1bbd1B>^ut#+z^N^Qhc4kYT z_BUb!)DQaF^d0k$_R$XCk)JqpLDRR)?}_Jk-N3V(---T=^F%89Cwj7cWES_@%;Fq| zS>5BD9dT!!XU2EQ6aN3Q?(y})iS)0{(KF+_3DG&se|(-|X&u$3JvOTIKR*`gzOfRX zZ?A@Dc3OCTduGrVl;u8?t^2_(oOx2!IqCdeP`XyciSq*x6S&N8Tr_&H4V-K89zd7M0br<`PTVy zXmbxV^*h3JN0!z5yHM{xw8|R~dG94p6%6{(Re0Q41c`#W= zgfo0`{sx1+<5>HuU$b*Q+xMSl&o21~p9%llKYQBHQE=`ht#|H>q5JuEe#gRWNOy$q z*ifxOLN)3iH#@t&8zVQXc`{&Q}`8!m0&v6FL}wq6zL%-{_E7ri>dUlZY9 z7v8(C4^QE~>&i(H-~5SjBA(otPB4y+oUsWUwdpzS9qSYHREhs?ntL@&t;cR ztn3Q!otK6D-U?@TT&c5Dx!dGroXf+Qv{$krJuASp_xa&{2KecH2JPE(XLx4dsrL*# z?Fn9bR-l2sLqB_dif0x0>)>HM(H-`jn~m!()Y^Z&<&n;r;s2IZ;i+{91)@!;Z9`n zu=b{6KYk{hhoe8EJ2H%S;Z^Ii-igIpIs6{CGhSci#m_}qZ1|Kgk%zQgypMzO*iU@Y zmatpZF??FoA>Hsv>ktpNcGg8ZE#EixRefkj_6nRkG1RoyX$s>s|Hh*eSz7x~g;RnmljcZcz%>81YaxqruT9d;&n5Up)6(dyHG)-+;->cyJ znM;Oh3)zpw&%S4Nz9Y|M4O^%)#7sZ(zo@sLdNI~pj30GmCr^*%YoDcz{2}ljPT=-R z2T;!Ou)E&dgZ{2L+@y|ZkZr$og7dM0Ug^i4Ts4_C1r5lz{wijO4OGlkXYmzvu)#Km zgZF@K^NQwt>ak8A(lYzD%=7);B+v6c*mx03DvwuzlaGO7lh`i9iL@BA+?$?bUf`7G ztDbPOw1`v8FK~)^1y22(QMe(-fuU!C3+YCmoxofZ?(wnyVC(g+`WpM@`^KBk@ErEL ztg6@n<|w*zxoJ%vf2@ulW_u*#UcbJ`1G>{nd2vqN#NP#u>I>_*p?=EZGGQz+DD1UsUO=K@wisy{^_3VPCw&O@qkukenuJQ zCpNAlbGj!+XHA1={O)1O{=tLRMzrzLWA?6lO=6n!pPuP`$8W(#x8$p2zd~P}pV}Gv z9g(ln{Yd!xb$op7N$6x>MyeYp@s5=X{VwC8IjZjWm0qhb7r5)i*`51(mL4>GrL!3O zVYf>?y337wl<|8F4*bMCv(RmWUXJ^y+ZPAD)^wNLp_vaKf9pcdmisk)$eCfUVVtYl zc~~py(@N|D^DljSc4BQdq&rndR#x&E_?3Ua_=#>h4`1!u`F+eqx)Qn--{X;9gKj#H zuj$Mo=5Tf9UHWF+<)bg+{c^!1ueO~y*hc2D8)M&~L9fTy1Q(kl?ELSvb!+o>yc1mY!E*^lb2##-*n3 zAQ&fok0+i%j-H$#f**DucBLb}e-RG#&%a#mB{emkwVb783W4;Sax zrs)s<3=0# zUfPd8tD$SG%q^iz&^3&g$}MYA?&cQdI$D&wu|+w}jmqu5twp)67Ugy~${D`b)ORbt4%jQRiJPUPrsGk3=%3#WAK*hb z@#ynH{OSqv6n84};n5$Z<(=m)*piQw%ffSiotAYT>)n!nn{?wb^WBl35|4c|t>--U z$}RarX}a^+>$l_&rs)ZfeKAdU9(&i8{PUz|XI#fUG)s@mk8a{E>ErSk-_sbof(N5~ zy1g^Hf2c*d_^n`5xev4`r@4H&-MmrG{C(q>*B+Y@`J!@1xGQlKzR-9V@;*ARkTdCm z8?C?ev$~YKpqRhN4#$2DMBl;if7>M!p$s|$7%E#K9%wPcYK$3TyWS|eR*4y64~%cN zE-lKwUU^Bn>AZK<@~cQ+X1Xf2-%7vHrj`G_n(44BsH3%s0_R9ea4q~x;c0bV73y3} z9nrym`}(i3`>(PGXCrUj7K6#Yoc#YP|5wNKug#|a+z;7Ltn-^mnTJX5kLlmm{|NKD zNty2_|3?!zKTQ7rY<6g0_j~>$N)o zeu1uBu@fCIA=r%D&J}?kd$$-3|LMcooi?|mPgeH27G)#7|BkYv+r&+mV_Rb!@9D&E zWOw_Q*_>E+9T|W2#5Z=5tlxE)=;kW(_oXU9WTNLXPdp2x5*~4M=H^shs`b9DQqL8k00aRZ5i5_Mg9ftX2 z=!P(dn7Z$sr`UI`!P{0GiB*l#&l%Y=Jjum>2EHj!_QV;YajSMif=UG zdR@c1z#}}%k%N!tO-j`$A@wi#>e1(An=09 zRH&=x44!tzp?G7ObQ@Fh6+eQ0hl{b+*eV^lHCz~5;}yqcLrf?B)|8&;CEc4U80ojY z;2Ui;{T+|}q94`<{KeWacD*$%tRKJ1J~IZQUlI3Mgzkzq$MGh+sfp7@!?blZh&`X zE7R}A@#(>tcs@E18K}irvd1lSSCsj%Q}Mm(qH_n4X{#$eU$za>yXm*Xvd`#(@?A26 zPD9tBz;3BSNzdA{3Hd37zD>(Q&q6Q9vQ9_!Ro}OFo@{*QG>>mR#&L+L6yJ9PV`K0) z8DEWIgl#;F?k>hxV_(X1eEgZ(wm)QC)7VzidGP)7AMOQrk9SyXYc*rInsLB?s;^{E zh2lfRy4r6%Ej(|D&zs}(-SK%_eBKeCd3=88w4s{rNFYu%2HZ~8QSo`lJERAgi_g=3 z3bnBoT8Lkek3pvoY1(r)qOlQ9Yw&&0kGcy(K1C;Mu`9AYk5pJ&ddmly*NN{JNBxQI zwY%)`eXQ;(zGLXci@{f;PyqhKV=L;`U9J4KMiv&&-+oD7w>hbMg5>X7du5K?sa&! z=tP{#VpgKleMy{|I93q{EZytyZ|INCQ1UVOy4q8`P;)Tkm33>|Gv7;0{t5WX?n`{x z%1L|XjdnL)V)3$0ctLlUTiPu#4ZhHsl$LgLOoK;W>}l_gY4FQ7PrEIq!8A#{_x{!l>tT=yDj;vperNhl|h$` zEh07^&kU-tSK+hZZ+wvG1l`HB6?$mxVU)Tz{zfbVOmH_pLuKff*;nq#8vm5wyaTzq zwV}%f+I0_E`@!dnwu_LzHsa2U*tY>(V(+Yx>=|kUm&(m;clT32q{se{UyHhGFt#~( zdVu#V;K}xN(r3+Qq+h*%W)oL6`p9^3mNdKw->EOY@8s8LuTEO~eDs%|=v8~7OVu~= zz`jE}xC6F_JvQ+!uVjx6^RMwy;A;P!@e44mompKNUZ80MGb=KG(z#+OGtzS_?9M z=xX$FDt>q$?Ts-;1JTABFF0?ki@dQWK9@zF>6o5ZMi#&$$Y=BqH-W#!90wvl%g@*i z?kA85;~{Lh#zQz_t3!GD&aR(5|N5~DYPSU4-4|hL4~4-HUBx@V{0Y2sVnKw>n2ar$ z413tu&K!2B?E$~D$n(|qySa<$zA5k;Bk!@~yqdJ$jn6t$e!p;)-(r0Qp3)5WdGIWL zqv&P0wrVTQE4P*AsV(Hk+Dg)uW^LhzGTx%~8|8ncVTx>H{`ujl<$k>Uz?Wy z$%g#GDasGV^75l%e-CsV=Nqgk$`8l#I(xM!zw`z9v!^Iu)BaBI-uhXYWdD$hM zODdi_)t~su_fJV?Q`nuto&8eUJ7s*wf5BDyl=fx{{`S3v^#+e0==jO{{LhkpHSsw6 zk(+3Ce0~0>N!dwwQa+*CfsWJ9&+nU}e6RXNd8e7{#*_7}X`Xm!mF9^Dn&ydX(dBEg zQ|E@K%@>(F>W(|@iO@cX-Vd<%e@ix$%?xw2nY?Q*mR&bvyw1I#+#q55HVRshR$rgl zel(So&#?Bk<Do z&iH(A?xvdN!`s+1vN7UMd7Eo~Y@y9Hzj>$mL_d=*?u+aFBX`e?cLy%CGmAb!nGxcn zf?av=v|P{XgKhbYnR{N2{~YLi&uNB>+UxvOz^8VP<^#d@4o07>zKyY17i?(Vb+6Jk zgmR3%`MGK%dvLC`RiUjT?d)4-oc}$zXdHC*?8#ttHoxwi2g^r(G^Uvej7pW`T6 zk++lfHGe;Ug70N|;F%uiD*B^;z%9^~H1UJct~7r?7rNdM{az~r+;)xSM&QV|0TpwI8Z}hQ&Hz1+m@k@Zcw=Ui*aOiK_XPPGi+)O)%Il=9&6$ zbZuuI1^j)`U=(;C@4x3@HQV#P4?{=MMez-5yA?eAP_u=C=RPUE+ZcXn?ZK|wMN_q5 z?a*I;7kz#ReD9mlG3lT5_n7?JsAn`DwR?j+$lo=1_@l$M>;?KSc;@#JWBYFox99(6 z@BQQCtjfFpdv>xgONb%F7$78@HN?ysDexc=s>p^l4-29oiXs?(YTZ<=Vxa{Q3@qv* zS~D${`U6c+%LZ$Wt=6n!1*5W7YZ0}gRl6IYod85_et5JBrWGMjw!^J{EpdZdbPY zBb~XeUN3y5&pzh%;r51XSUEOk7teb?7WSEqeuQ?iJbOF6!t!zSgzJ`8@$%pLrg7oE)9_XnX~HS8m)bRHv_M zS2mgG@W(FQl-0gVpUa?=#+bureISRAyhix90{;>C)@%i91iQ|kZYx%oGJDU_!}O7 zuQ|l-jhHSIPiDNsF6446tT8^azvptVd(O06uEpS6m}l*2K?jbw&5~aFPw)`UEnmX_ zU5oohd&w17zDBI;d&`iOV7JoeiB1rH`TJJq!!uiMXnNN<$*S-{ zE~{ID-!1=M`2giv4kbsrng6f%|3CNt8~pzdID@I@ulE1%*)ROR*#A%MAO5fR|BrQr z|JqkB_seQ{{NE0!vClE|9^K{ zu})y^pW(DpTp>JUGpasj)8CdiY`ni-xnSjYzu})B^8F~EJ$#-^gERO%i_a!LoB15b z=WsrE@wu1JIG;KnDMZ#pvqSh)`K;kHz~@{(gUM$b^@@4oE%*jIv3(l9_84A^&sZtu z9`GkMZ#|4h`TnEf({?%CL#Sgi$(qyF9Urpw$@ILR?PK&aexI-T89(~YPU;J??Co@B zPP*eZWcoAP_ue9Ug8uZ}Ya!2B9M8-4VLW@lW7hH5IxXX2e?q(QydxdYS|5+MOUHBF zOyf!Xw*j4tgdUX=u&{gM=x^;=-n%OIxpTc0WpCH2jrcj)w{$)?yQ+7OXok%S{xR)- zj@?xIarC_T5=UpXuYmVB`qS#7e=6?7nSX*W8vPT4BRz?%OD9@=bYi_D_$L-;c>g8d zf%HZEWaA}#i4pfDvV*Q=pXbs&Tfs~37LPc5)Nx30{gM3WfVd7E4&jM z-)@g!TaJu62766b`^c{wITXfb`dW3XI-lnERIA+$;3U}AZXm0@ccyk5!X6#9`=hko zxmoQUNxL}ih@0ihVjqK9?JY^&y3y~yDLzT&CgONXI-V=D+Dj4~tM0cLj%U4knVm(uefs>$zYODO z)M*|c)O%V%DY3+je@nGUU z^ieo-r1SQ@m&vCNaY~$%=okEr(fk7LbfA7$-)Kp(32i#w*Ee}KIX&PK8>7pdR(wZU z-p$pLw(Nh&|Ch8DL_g$!w8zHx(3xyuGYzhuXSXtE zLs{)zF>i~!L_Qu+JP%G)`qenaKjRD8g9!~ZUna8=U)oh%cC0V$yS@jXDeY@Z= z`Wh(q1+824g--S{tlw_FEqx7m*=FdXv6Vgs@0|?2m^<4iBf8=P$MKE$_y)bt*iW1v z?Q62%X0tg%neIixp2)ZEMQ)aJpF^fSocz}wNNi8|t#eT-ldaPJH-2Mt?%M_La@T;h z&)5g2^6pnK_xfJ%-xr7PY)c7#WGtS8n>ZotdpEepAp^8Qr%!F^U%&k(o>k=AFc*>c zlt-0(E!5mmk64&kSH8;!x66LE<2U^FQSlsl#P}`dltrVkKAhaa(4Tz^J)(8t(Vb=R z-rv@kCY6UAFSAC}AMZygqci5RhTmap`0}HQawj?aBK-PAXfL|yoPf?vY%VX^Gkz4b zUCn0|^2ZvK$=_<1zs|lXdJ~x)++aWXTyO1pP0ux!DEBR7hNPM+r z$9iNb$n2|?=K~LNltE_6;Wo)E<&xR$@VjJo5cnpef~)waa|W3mf@g=|ZOM`1HrJc- zx8wR--Y@fAk7EV5DATvZbpk#2_9oNdY%&e)qD+gP${jeEtb;?8yZ6$63b%5w%eea2-pCeoc)R$qeBo}Ll~@a{cm8cwlfTcs zoV5p#QSCX~iJf==ISG73-SYW+E~YMX)p!Pf2@bi?sq1)FN}h@D?Aa>hjAy?_Cd7kA zE1mtiy^)i$daL`U?si;+$4^xszSTI>@r`-@&*1a~IPgS6H-DyYavtx}K&EYfNj2Xe z36Jv3?CMt9!FL1EZ-GZmU-0~ACou=elIdgVzJw3PoR8|@$-0i@oVf??G1@!8zRTns zsrHD(IVz4}B;uqwS{cSriDlx&QS&!9_1w9pHuG8n_vuEgiu{7FgSD_1M3z?^s7;m{tcGi>D1=*-Pqoi*6c=&O99ljHr|E zY1YZ)=tg()>?P<%>E!8l?FH<6Du?sFg`C{xp=Eov^pj6OuRI`Mw0vRii^?8X|8Mf3A#w9EZD zeATBsSN_OS)^376OWXD!OP4^mA9~vx(ze*7z0WZ{jNdT5?OJd9kKXnQ;kyGKgI}UQ zpY{cgXMbtQ#gVchrH~%MxAWatCs1xc+lkGq?g!UCdOxSFx-GI+^3hxzd>G9Px~D5KHf$j z=mPDN&&#;KO=ZeQ=4HA|hq6vDGx_Jg=^DmhzBl?U*6+brFRcv!OXy>jo4(NZiP@CV ziMgm=l^M+j_4^uV$n)+S{rlbFJF{4^;hX>Z*~Gnqa~k?S@;7o=jeb-a`$kMMacNdN zni$pikg?aJuAJ|3eoM2?x)>Zzfv=z8{P9i3ir*h_XRd6l>Q85Ti~Vg4{XO*w^mm>2 zcYyb&xHa$3=i0`ndx?tueIoR?8=l|S@on+`ehQ9~`9Dwli*u>*$p@sr0nd|}zwjyS zp7!PU9bKFFWuwm#r>V^wbE#Z=tlvY-)^o2Y5K@`S@*fApaAZ)C)9G-?u!8zTfSA zYp-fP=k#rKz^9C~etSZPBCVCo$A7$Zg=;+S|ahWmCYnDJRp) z26hJ<_)H(q^P_E{Z3!Fr!r#RP5+7Dt*s&gHAse_P&STmZ8~8l6?Qh+7t+zeU+df11 z4zc#$zg}zEw)T!*&uw*y`m%wU*FP-wH8kA@esdBV2rcnnTid`e=CgkS&q@dE53Hii zv;WZ9Y~Z3q7B&#F4qGz%v`j$P>xBO3i%bxIU`b74G-{M{Eu`rv$f3qq2mQCTiXj5K&EH(xI zfLy1+T8?cAHotH5Vb)ep!~fG>rfMhc`R+c^zfbb-wc*=v)bn-n0hmwOiqAIo|4K&g zKvssqPq_}sjeH31;0$w5U9B}+xp-K9EYEwf>Dl);Xy3-Ro^Og2h;n~BUdh;@)BeqRTKIekd`@wEUTL%Nm8J980g~ zbA;TWvrK1;xA2iKdph_(=5^)QrFvU+Dx94WKd!euS?M}Kl7HNXSVeqYe`|K4&aLbv zN4ZZr{ZQBG;arvJzY*uv3V4q&zVAp!isuy9tU%UQpr7Oy73PY&N-VDVjF0uJQCHGd zI{p4N?PHUu)Bn=jel~53PXC(P5>vIZ2T`Zr;%!H0Yw^G;>EZS|{U)#fK_6d+A8EG# z@}q0-_<17ZP7l*-S7#@l<2;wwzv1ZG)h+7Vd{BR&SpVjuYj0>#e?;>~{pS?xfAr|u zr7h}@dHpB@IX<60y7uxG_3K{0rwIScN7r7^qJBkrC-7mB*XBQm|DB_2C%33y_4?6g zxsLwivmE1eJ_S0byr2G7PEq_?!Ux%T^<5`EKs@&#^Y=4sgU$J3d=byNX>QFvbou<^ z8>TwLcnO=m(EH`AsjZ*S)W&#-Hv4&-#k7&%RU%HmUiRP17pNROqim%y@Hffjkwde! z0n@4AoZ{v3arRH}6Qno(3%Z)UM+VK_ANmAiVAdmy&&j!13=F+?>Gw+6Kjbxuf$Pr0 zb)FLg-@DvnUW+LyOJiKsv6xc+fPTvt(6@X6eajcnw|oJ8%NNi$zCfM1GaRnMW>Yo{ z511doZ}S86Ek8i@3$f*;$M~8m_CM0s=B&4GQum#oe(1*0(;vU)+tm%vWZi)AQEtyE zudr94yEBa2;?Mr9wrO`mhU56^qsz3=nW@zP(EO&hnzq)jotVn5)Y5aGk? z(`a0FDVL;ot-=>^{CeIc8Pl_bmThCSLJqc= zhs^g~V}C1_UqXJgCavF}ZRBCAZm<7Tbi_ZZtUqNE93NNisqQ|N%C(PQ-zA=p3^&$O z$D)q#w)Jv0Dcd4iTYcKS9$GiWINxi?(YRnjBl&BehA*V!-XL0wo=38ep_}-`&nIJ- zZxZ~v_D(ENUKu=@-)dZY6ApKO?L^8gcQzRDr+%jQ+^H{LFFxmJ^oGh8Wc2TA_JZ5n zN4&r}TWGb5|5g51N(ao9yjcB1p@Y@iI9fulyaHN;@@%roIO{26Gug!ZDhd|W-?@^jz!eOr_>PYVR=r}%d>!gc>tW0SAGYl+<*x_e?pR$Cv} ziJ(!%`xm_@fG@puuG8Dr!1qUQXA z1)jB%g>P%UDvkFGb0b-het#TXB?|-K5_OBoLbCq&-z5uwdQ=-(I3~zI?~%^O;2Qau zHIg6))G7653wp3y73E#-Y3P=?$6_&KkW84~7LSpimu&SODPHYmua)y&Pjk7+pZZp= z|HvSJ#%~w@_ww7Y^P6<-QQ(>CuIeo z1wZw+zc1S1ubU5+idU938awWUjMZ|pP6`-BH?^m)v4j`#y9&eDgs(eJ(9?-{@p zjdR{y)y$icXYD(zQd@g&^O}2R%6L|i~a?-1GsyR zY{Zh_{-##?O?!nzpJq9HV)=BPs}pT9aKt`LDVB5e&_t;=}_T?gJa z*NS}wYbUVQI;{1AMR^9_kqh0VwW5>$qY+~b`uq?27!9su4!9$(m*pFYCZe%DkMWcD z+YZ-^``==)LSw7_FvCOkAJza<`r7sk+vc0Xf%N4nxE3GF5x$ZES{ zUa~-Q$?GZ5{6TMr3^nCUa+=DgkN!G5j*J?e2RsfP@3#14TPmLeQ9kv|-|dj%tiCTH zU-K33dxG&99Mw(cFw#}B66ad;nSN}3LOyL<&qq(F{q0X1d=h!V;H=0-pHJJS`rA*a z-QJ?U^+kQ%_h5Tn#XIP`2(Jp=Br|`@^IT?#gFi|GAM;{&^Iv(f*Lt6_KPl~`^R<4$++1e! z`VM>**TJ^G0-3V%TNrzMKUdTt%u_YWl4OsxUbph=llAK^)(kI#`L13 zzVh3xct-ToSl0Mhw4Q6ekNPGypZEy-f7j2`-y{rS6-C=!C^J#t%c1L4ly`iPtd=>iT za)Uqf=>Ni>Sq&eySc5GwcaodWF}KohpQWwjS?d@k%h)R8yWPjvKK+x1?C0_We)371 z>OS>^+Sa6Qll)L$Xa1V%S5K(j+M>Sc73wc2)<5HfTCGKW(<{`MKCAi|QhC&GqoJ(_ z`uZMz;*~K6t~rl;_2DU#P0HYv+?Lup7IN|jPA|o!vaxY3Y0%4GO}Y7n!09Dc%6UEY z!5Zt53$!kI(hcUC)uF!SRpMUfIPYnj60jc^55P~x-|{!m zx5!RDF3FH`;J3jGTJsYxJex5X&5&cuL98zLm^}^OGRjKs!xidg)cwX#ID4IO|32q9 zIH!~Nr_ed_NsLjYmz#W0$#(QX-|G44Lm3lgA%D!dY5JW@j3)Uck8@MCr+EKY>H{|4 z)2DnL`ns`K5NL;MK76P=F~udr^e zeUiOxVu&MDNBT>#O*yN5{b!B1Hu9%n_qZ7CFO(2GM;1Y69 z^PA^e>jcgEEV*~@3FMTNLsKr!;-MCH|03`ZA1fvmEyq|-z{i_TOFeh}^-dpyt!Im0 ziGR`ViFU{D8*8GHz_N5D-=zAB(uk{_}DAMQgJ)T+4nzLhm;Y*c+U?cAiwELt;lM>dVIP(#n?%{&Ci%G(f9+RF*GdBd915B|97vu$?Mk1tJ!)_k~`Ac z+uI`!#9_*X{&O1~B2RqF;c9)U9S*819KPyxEpK1Ohl4%?*PBk7L?=CNepmE4^&Gv@ zr|0Or{JGnz)RyM!EjGU)k3JCBa|`2C?7mts7otaz3F$ZF@Db%eD#`kQ{3|Q}USpqH z%%!!WTeRuI1$nkT7kWp8&biKpYdx{6wtiB;S?Ao(0cX?O;4>Ee0jE)ME>-`uSf6nX zxJ`Yc_ml*I~4m&ejKu^;Awh_ywEQ81rq&;6uJ;p z|GwB)tDLP2bc++w)KF=3tH44fZvp#v^+gW>~s=M&jXIl9sbDy#31!!n{)MD^Eq4D+xvlxeG9UyMo(a0v$5G$#=Ro;9D99* zo+q|)Fy~2pPvL@HO7DTR_$0BJW6=(Qm&I1cHhgW_&Gmxc!fwX+)a+?uH%Ah?BYMm> zR?VG0qDRE_pRqx@_a~?4EMpjsv8>C2wL26$pNvKJ@jAwWezbGCaULTb+qJnowz-|S z@V{Yf_a^rB+dj{&bjKAj{|wKy)17aCkEPdlL|V;*hVJX8y!Uz0H`-j_jrg3WJX~Xa zL_BQtp-$TVAQS(m=&&P^BhjhZS8d$?w|5`% z0XEJSaiZd9*_=!88*fG)C2P{n(s`DPS%@#oUY%BP;v1=#<_1dO1bvXkNs>eP+h@eJ2|Z8xSqshNYoF@<$Oo1luvnG4BW@RC-=_bI zVaefN^0BO;J_-+1Wakz)+6_8R&uZOno7Oyk+@jrpw^RPd@Jsp=4}3l5 zzY`wN_$J7ahzGvvIXd8HdY;(E=oeL)!>02|^wXQz#%iwj zL%uSljeNi#3T_MAI2OlPu#NdR3*%v({pL8YY0gCNmu#CeN${*kJe?k`=2A9o|7#mI zE$T9(Av9{&Mzl4Vxjo^{0{)zQZ1Un}->F_E zPene+cv8HN97mew<<4irjX4NsnW;PG`c<}R7jU$XTXcT`pS*qCM-kV7Wyd0)y8agr zs=oFd4@wUh-VNP5;{6QxGxedE)NG>1VmU5?qZ|dWl;5{Hjzd!&4D&a6@#$~pLHd1J4ue9$Yr?%`h7WQW{=Y$M6R;H$^n06CGf65NKJzPgi2 z`|-{Hr0xW??z!mb+Pb7}J@TGn6F*y7q{VN5k;W;nS&c3_7Wye(Eb42zY&wP$R9DMzleE4Y+p5*(=?y?Q|4XsDw~Ox;Vi%|3 zn9rMF*nGb_++U&pb**c1H+Om#Sn-|4DxT2!fVN}i?B>`*4c@K#oX0s$V_&TgZ_xb4 z^%vpx+16vf4cqxiAIqECj794-+T&3@vSfEP>A%)(?_ex*IoF)8&8`djQDeDqrm>8W z|4YVF_xB;CbR14(GaZ|FKyv!leVEg$d|bYk8)WsC)^yOEzTWE}4et5;t|AzBGE1vlhbUw%7>z;;}Xq?_P5Otn- zDeTitVz;3g?$ha6oZmSa_vmV0ru1t?Hk0_F9`~`qLq)yvW^&7_@44M=J$H80mL+pL z5OtGaN|uQu?EayC-ZzlUA@URAE9&vyMe}*PoL(0zr#;to?aLeUr?NWwu=KHYQ}L`% z5svimujogzeP)D{UAfHod0yDhb6Rl>_jc5N@?b;OD()W|UD7c~7jswG&ZKUnk7S>_ zx6EH?*^WEOzLT_zdc*M2JkQkj8*6G`Y17tt#M?>^wI0wkKaY0Q{w`@-bvbK^BV+q` zQnzVrht52-^19!Cj7E;?N5@nv*9CE_Dk+hqJpSKl$Un=7F z)N<|jlD4zqcYad03BQ#ydpjoqV0vM6!+#xm!N0W&wsKmA|3D|`Y~TpdF>VGS6{=IepUa~S2X%Z z|1A(cx+`09IiTmRf1}O*-6H*8cVO+u4>WYgZ1n$jQn!izN6t+DuO#iJ(Vw5AM9=dFEy725t)Biiwndz^7{@nZdDRUeBdZWMlk~#fvoQ3|3O|*~n|AF(U z?9YVs@eR+by{y|~(8Y5+2F*O^>}(`6;!3-$|}7;X7zy=Q_rG{Y$)9Igzq^ znrT>qhO#dg`q;GB(s(o4PWp$h&913jxdp=!-G5Fpf5To!Hls4pRWrLkH{2JK(`9Y2 zRUeA@M_B0SQxaIQzgDocXR6!byeq|3@m~wuKGfXTz1nlVD(P$3eO>Kq?J3q}&-LL+ z-N@S}MK^zc^&bsXx`y8KaXJ_*H#+ z9H;hcX@3g*__JL>ADpgsE0|x8p@*a2Im=w+{>beKPvDP~4tm|Pj62WSgS>eJNTF_cu(uRs-KVJqH=9G8AqM>h#L(BQ$88FAM-1DeMb*= z?V6-+aU#D7AEpI7JbfEbH{mzr)lklJ40h`rRw`*8uV-IS89|6Uts@Y+Zb2Sm-tQlmo%22 zfsg!wyOMECu&=fQ`K`l4;Vi-0Zk;7i&Pn~`ym)!J_RvH_rs90piRX5ai>w|4-#Z=h zHpAuG{WG=c%qHJoZ1cf#?dvnOS(#0m9#3)GR<8a1Ol^+LCa*2_^W}2wQ%RfQn0tag zR~GA%hxp61ZZel{-|p49qFa+X)9BNcO?rOQY@+G^`^&XWGqstQO-6oRwl|(Ue8?qY6XE}$pDB|KQLZA^e@lnfn$rH;zaK;I9I|^id>>?f zu6T(2FuCH!KFRRkaP4-x)API?hFf*-76f1KFI~KP7$Vdp6qi{fyY2 zey#lxb825q+Q&Jla95J%;IO3rgzV%Q$JhS0MSYE>`%`m9b(f~m2KZM0mB-g^PwGcm zvAe@%GiYOSEqcZ_uRFf>{x)p}yp73qLZh3UMnA;|NO@Mj|4n{@;K%v;^vSjB6Zo^u z*Y|0k&ezsi=4;S#`8w@%Z(8iz=#5UlH0iq<*AX>e@+S+t^10YP&eyZ&)LxRbkMqTT zg~{%D9Zj^f{+>Ulc4|^Tr$6m80MH$v?_&es{z# z`i|J2)k%NVcn4z}e!M=mk8_V7wj^mE$HyIzdROYG_TMz|*PX}L<|p;z__zl$_))Yu zuGr?@<7*vl+8BS)W>vAx`0=%0{%b?V(|!g;N7`t8EbUh~+x<488{^Yi_%i37E{1NV zUo_w7y@5QIqkgGWi*%0l&!K*thvK*TsFcv5zUDXLxzike3qN@!G}qdH?B}5)^v+fK zUO*mM@D{jEF6bl0LD%C4ZDSop`e-3=;ut3sN1t1<^ZvSTUgLZKU;Y{3&VAvN58!WD z-DG^-J}&E1WAJz??r%(B-`m5Si5@%gs|+@FX1-u!>mIG4kiR zb817$JPyRY{cZSDxdO8p<)Qnu9&a>bE~55JVspr@6F?o%;7hiBiyZ&2@`OUF?4|hrw#Y4lY~NxGTAQ-^aSRt7P&;-X$M7j1gXLo47)}g)5ot6J_?r8D`84~K z$=T?_+JE%va$hd`c5e&s>a}w&z7IhDTNRq?eJiqydJnqJbh17d=J=4#+Vzn>&^P6W z1Mqk9de7>tT^Z{^#{rkm{CQtz?TzVkpQrpeyf~OX_gEr-P7HNX`aGUTiFm%WvvzL! zJnjvN&++}vN}tELH9jXlHV~gP&dAFHP8-dS?1awpSk4?sZOZ$ARuj;I=OmK;McbxaL#h5*p8HXjAS>&)jDp=GtJ#0siSJeE4&F3P1AyEOR#E@G&A` z|J+Ho=DMx)3cp_wzNtoD1s1dn&&Yu)Z<(ExP3atK_|2VC)X}>s^Lo0Y@zf-T>ip6H zzuf43A41>a?|gpzZ0o`4_>ixS>G-02&N99?dLMfe_@xu~9mk8j{eL9wHD>9;hgBBk z7x_Ln#V^YLEcgvL{O_gkou}`ktd(BQP@N1u*MDozKEBxA_<3D6 z^|}<_Gxn?f>kk`xWh{Yd^*NKIeK9#tT(n>9+cVW?Z_wFk{mb{O-ILU>CvumcXH00J z_ms)c84wJ{Y&i60Q}J$t3HkZ&+OPIEDa-`td|pl~*?sOg-k;vD_OaR8yfFByc^mBO zUnFg!eK38X{fvjWzBneET9A$zyZg?h-87o6&8E_|iYM={B>QDrq~ZTMP>ckkOM<64m&NS3#0>8A0PE*_(^p`y?YwGr!vi#`Qg;P)%!rV z+nS7cFy!l!d>Q*;r>-vXuB@yET=qwD$F1+Dte5$(J)WQ9<9EhI`l(#+iTRf|g?Lo| zyFV4`cQcl$tJm_blDK!1J-5Vv%7M%GGJlNq8{wmzx^j`}KIq|?XQjO5zFfyM-zv3wG4i4{E zE4RNZB&VP9pBe+_|GEUP+;vBGP2ZoDh=*SX-IN>6L^Hl~8Z+-BK9+dziSiGI<9w&t ze5V<3xW?hIcFo_&UH)A+*?r$#ncYRCKJxN;&1Jp2uKsqmfp@AF+jj=tWw}|6 z0UXAmNwcq>-21^^G2)*|Vwy?LPS|%&k5&AaPW%Kqm3QOXm`?REoywS2H}e7eoI~tM zx$(iNh5gy^lF?UZ1{5zQd|>MuYIkT@Q|aw#?A6dZc3pFmK3}-?i zbNLk9O{IIjte-<^2aQYLI=#_O_fo4JHp=EP;xC?xxTN?~&U_e+rQdDsS$)u6{4U)} z%o_Ry7yG{?!6T)S`f#6w{dZIBc`%+f*@pJUi(RzEugl=a3E;G>GtcY5pC*e1eB1WH z{LR`&tW)U2`hovU=HW-ZucPsvr9{q$xMN}HLe>q!ch1)>blO(p&)!5nN8)-jb8T|S zdUM2A{(<()=XxpHWy&V_=v|h!XP>z>ewQ5Q?K8V;U|PBM??Y!BTd_~Zul3RV9-w=g z?hKZ1v#Io{byLHaq1*c|YTq|=RB^s<8k72t^H=N}9*E-{h&-9pksiYD-PHGDWB`5C z4*!{8h_0L|*tA?QTz?rHY>mw^di@sWclBrrK$}EYjkxUDd9^dMDV@zyom7VmMjEL+ z(ILgQpYXPop1#rgYZ!z2TFLKA`TZJnEBNO8$b1h+xR*|UR)qcMf~~Qa81HK=_TOXU zmu}^M+yf`QT0$==KEnn~>3zgDPq#O0n#$x)%jb&s*lBL?ZK#jliv3(#=!gF;`&mst zt6TI#ndB<(C-uQ;6X{$RuSb2$yJ4*yI!pK3Z|Pb1Aknj%?A-v;v)C~9HkiC*pMlqq z)6zl6i{w;rx1x`wPnTrju2|{i;#}aL)T6vZo9r&?uVPH-#|Ks*|L9WQ`8w5e;3?gL z#eT#9({;4ba6WL0^O(Yg7A@gYJ`FCgY(C~YP0{O&C9x5VPh;}_WjAb&(|WWuI;dWR zN4*KkrT@pz^ghn)o7y|n5&S9qhWwqaZS<_|4I0uOxBYC-x%`Kw^K=EBJ2)@kZF`8| z)vbERMsnwp{9E1~8_xRSt3GgPR(r5Nt39+Ls}W~~b7+if(8vE0_*5~Fd>_V;s zW1p1CPUP*|^*I-wP5Y!>-e!hAZQmufM`I8E;)XqGne=X{6IhJH%4<%iIA-*M#w`5P zbB8t4#qIZoDc{RkJ>G+!O+JX<_7MKRt;4j4Q?~B-(DrCoBVUe0UB{SZr}8@U8oWE~ zb1c8M5Bx-*rn=E?!4H)Pk9fxXYsO?g8Q%vL+D1AR;gx`g>`XG>liD-1lo(BPDb~vp z9P@thyYhbVk3`dAzeWS*q6n`9JjIdt74-XtW#p}_-yloro{Hqmb({SANX)y(^LIl_ zc|X16>4NP$cOXw6L7s+?r%SWiO?#)Wqi76zhx1Ft53GO4zG!ZA2YExzKGY<$xqX?N z1)YjsmyaA}VL0Z+(4XurF-F-_&=0mo#(u^>Sk`yQMP|o^%a-zmdrW@dZM}CryXzve zSv_kmS@xDVX7M93rdV0JDSXpb^(i;o2%Qw8>bc-VorJ%3bCX|AE=_(G{sy{|PxQAw z;l7nu8UTY?iZY`MG$Z_wdsUy9io+DhNrbMhPYXw&j?aO1b( z#y398B)L(`RaQFv8RO8qkA%nfUmtK3?AdV2X#bDYSG%wC-BiDy`Oa}~#zFnYzI*vy z?c#kP{f!*s)YTnZr?5AXf5mr|d0DM;#kGGbnpsXnFbebYMf^=WlMg>yANWA>4Iiex z+H_f8YRCP-^qIqvuf%iVLjIEH+-13nSjX4K@_GrKqyA`mM*AENb({L&zn*Cxw9d|Y zz2yysr|}Wb4CmMf{z>FJjm!4aC3PY!b#?0;az<|R4>Y%B z=tP^yUnB0LW_=&N@Ar7FXBlI%I*i5Yf%{m(_s^%E_}+55f+affZS>)rJz#nJF5oKu zwCD4Jd!;sg;`FM@3nERW@pOQ>A{}YL88QTNwS<*c2EN#5+P0XA4uj`@fZU38|^=OXg zW|JKUPzRacK%Je)9roB{sp~%)buTGCn`}HgpJ&#FF=bnb9e{oP^03G6rD}&fhUe@F z;M|d(zbLlBf7aegm35$hwCC_tf2RG0qC++@-=43f+Cj*`a3j15>m(z<-xd9@VqZ}n>8qOdMLyB` zO76qcm|`CXx9H=M-?9(s%t}w-sXG{F^{Qv)bcy3oA9Z*^`cO3Kn746Mc!@85^4d1^ z+{ZCm|0|z-|Nr>k(LXs^$;6Wx|0mk@kK9LoiZ8iU;y4Jf6}HkA(l4@F>Wb`0uyEgMNg^qf>3@k>D}r>)OT# zE%30l0qwiRAFrmgYf(2_N(XdU%k^!07O z=x0K|%9U5d+qX2<6Err%$@x=f&a4f(VkTT8ogwUU;FK%Uy~KhM+@1FJ~O$T$wxQ9|Iq2Xe4{ID?~rIa z?f#!ayd!_l;t-vWBWBuL&PMCNLH;Jm)2M8;j=xq$cB7m;Kp&MkXeyb?9V(hkG{uu1${TE*_Mn5IJH;mko z@>He^k{D_$K6fuZc$AI$0$-DoFTRpFKY?{k?!d~|iP1-SKAX4$nuI+t(gW7?krml00=R)3{W2 zOj357mmQZ)X%4Ip@UUE(So=|EtNP$miQ|pWzR-A<_A9-*xxDPoyg&W#_x~E7{tx+ojZOb|_ zZ~8pR&PTnqnKn^x#k%rMY<^a6w0oi9TRTr8y<37mb~4w0{2TdD!6%7&IBl;ytd0Aq zeefHQC$|lEW_LY3tO4bIgzu3l_zl8OIzGke?Eh(;avx(KaKb)`PDe(Z`2U3Hr22lh zQ$5ie)994@68nx*Wfq)t_P*uZB{)@F*GdOPoGRIxWfi*FM%y1O857OrlZ!UNM@jZ?^=mC_&eo}NskWIu)t_>yx?9No_i%@MoTD^$81mR* zvBwVjPd)AbH922AJ$85tIL{V4obG%w(!b1eDxB-q{i@$1M<4g=u7HmVIZ$#-qxeyy z2Wp&*V@p5l=_bqM-aZ-5xNYqZ>*Sng)}7D+&xPR3c!l!_ZR8)T@163GMY|La-AA=A zc+B57JiaJAsB84XF0{i#I_X8?AI8``mox7-xUIZwH}A)0UjTLqo1yP$Pnf6h-_QTC zZ#eLqe7YFlt;Bc3SGBXy@;Azv)`lKeJW`pTo$yGRdoox*JpJ)wYn3cJ=(MXoz8(F- zUY+iLHd#-2VHa^+FM2-epBSsNmp#OHi$i?3WoW&vcgiM94{Oh6jKj6>UGpOzQ-1B` z&MPU;&Df80?UU%|qn8W!Vq?)9wuq6$m%%4WbxmVG1$%8W?zPFr`3%y*-u^PW=RkB%*>sQg zE2aE8Qf|&~gcu}Q*C{Io3I5Q?&=U04`NRhB>k8*rz0a8#1ltk#^>p}^oD=-I?et>~ zZ^^GC{UJv)(tkerZR}0dd&qp`S6dIjK5p&*fbF*^&R-~x`9RicOrI>-E`B|Vv$3X+ zXXs}*-pi|)3fm%h>APw2d>3&}JzrP4V7K+_IRTxAF5+2HJacMee|_!m5Zjavy2SQ;ZXP;p&-hW==WyO0 z#ZWWRQ#fdDB2BkJ(;sjiaW#W?UJ2UrWYoPJ5&Gd^j%I9@)gV)B7^*EGygLYv*DP=ZS#LZeqR2{|8 zHb3n15PYLkG7r=EN4gvxJ{V(LU;uwxRts~}ZhlQ?Db97>Y_uZBqkS~OW45^~&fj~P zzu(`7`HOyGuuPbL8|MYXO%5IJ}b)R&<`nu}L z>3-q=Nj|gbs*!l#&pya+<=}*;5}UM7x_*8eT~E1i#pet>sl8$1$$Rj>pOW;K=(;=5 ziE~+hjrVA_(}}8=*GY6@j<5SrMP2&a!Z&@%o;Tgg_}>j%`wfj=?4^_Lort>h?vQ6= zU)D5x`EWU#jCx--v$W}wWp9QTAI6{7*&+7bc%G_ZXJh@SgKZo>=dvy7{|^55RDyjS zUyXiQJzehiRnA_HoN0Vfo=V8m&K2yT`%lHy;3pqxpZ&ozw&M5M*@fs2egoj|!f||z z&si9>F&3h(1UWs|r^=@<`MiqX!+bXT_ud_fVfSNiP;(5M`-a3o;kWKdb)PcEJWI&K zA4RN-uCP3{V(uZvw8-@ddbkqb+p9YGm*|<-LW=&m)G@8eUkeQkMm6 z6+Iy zH`=`lc8_(~ysp-x%@z$U**;7=*+1pzBCM_}mc68@t@m>PwpMkzfM2Iw?=_Vr&+Iy2 z?ym9ycl5%)z4Wt-ej*NA>4*4i`xyJ(avRHfcai6{=j|7l_?|bdDHZDcglFR`DDOXS z`u;b{v_@z9-?ZlBGCJ%2H_^8pycG@)T{j~<>KU&nHxuExObqlzdwD+l><;s_g7da- zRSXmF*grY?dCar)j<4$syB~w^)I^J-4|5}QIh=X3xh#A9S|)ylezA|}=huO?wfuqY z&%AKs*>`l@@ut4gs%6TpXice6{<*wd;~D`LI4u|fw)V7G89XVOMt^Yj744uEd zw{*a3@1RfY)RNNIdT;80H*N>Fz+*o4A;yjmm7a+h^R+$m?P)K5?*R7Yzx2H!ZN@Z~ zpQX5Pw{VxQK7Mlc1(OlK%deW>`vuP^AAsCcU2eut?)ySz`ErYiiG9r1R$129qch}R zu-JU*%zKk+xSf5R$c3tn6B<)NuLwHH^#$n8_$vk{FDcp z;4zLIp7V&&d2s@d-v)0n@bWq#{}IO5;Gg%vKO;pR_-tdnR&y`Dnpmy7J~p1c82%9q zgF`#x!=b~r|AF8%(Ty0$^OD1y8GnR)mF0OZKB#q`rwva<-biU@>xNx@U+B5N=Ys5z z9&(bA-#o{Y$cJLh=Y#J|vN+=N+uTQcn2!PTsC|W*(|^OAGvO(iaXm(I9p@?4896Ny zm=S0E%{#L-v(v)h?zmt(b7Qi{{F$7MB=R%pHh(6XRbyO`(|*I9rGuUoWbM=jkLF`O zXu0XN;Nv=NC7T|<$MHtJ_8|07S=2#0@g>&%0{<3$)Y7*_&*x+FJ2$I-SAoW+y&S-{ zJ!w&o*R@w8?o*3?j>`Pqe!9C-cWTc>hXL1J`8YKXwzf%(emC(qxf%0cS?3HoF|0|Y zI$U{3-RJtG`}s=JkHvt}y{-GnW9v3NHsg5y(fd)1K^}Xi@n|l3_!wWgo*#CedD7!l zJ|ogoahBPb*5g$F@nbm1USjV%|I61TvAaLMNd8OTOLmBTa z%=VVGCujeyQ#-iJmi3k9Jvm`bXG?kMo}HYxe}LSq`D|LZ!H2Tn+J8e{Xs_NQru7K< zkF4X=wI;w`^@{wXdp>+vv^6Tvw8tat&DoUi%^|imyTy6780Yey!9DCL5BpuT2jo)r zO|UOybGcB?-Voh`(p0zHeW!BBO=av6(YcZ9iF+o>9e4aC^r;*KekU|+sP<2i%MX4Q z?v38zz|Ou+?6kD+4i-wv{irc+(fb8SI*X!wX&u&fkPU5C;PlY zoVL2HhLzyX|0d796sns`P1+#-)27q ze}eKq;rzFrD=yopHmX~U?6cOXV5myvUJQnRz%Zn>0LEISr^Ab*A+#x=_{&{dXY~=nA8c zJ?kmkGs%jCq5YvpS*X0;iJBc4ioDFT*fit_zUh8M+V<7=P!6tZQ|U|Pv+jrcU*{0P0s1E zZ>)GnTb;aHy=-UTM(w*3n(05e3j3bt-<&hD|BL*ab4B)_^F;RD$$?@s*?=JuT!v2#w zQ}~9Hi|1FH_n}BP#k(t_9N70m9h3GwQ3>A<`S-5yy#-y8O?1?Bx46zF4)OiK+-&l@ z7o_)`hn!e;#UZtSDwd#Z`!0HsMRe8Ux+iVS`7`Iq+5*c*<-E;*;TK`( zch~cW?$dj{buQ}@z%*V3&xHxxLHFzQo;~I3%5$vGrv07v41D$=Z{TCH9pzE6o=N?%5FwZq+fWFHeWNe+ALIRa&G+pkdu4_?zqRKLPu)6o^&;#ccMLcASj%=3FLM`jHah-5 zR?}Kh2Xpr>@UVR8cjwr=3_33;HnV*Z5ij&u)#IE{-q3G@(eF?4n`3d`2r)<3SFXQr zm)7&(7x^K(sHYrU9Uf+ld~^bQ{;i93g1LQ@qP^yNS2?Ravy@HJC$=Ksx`TE0OE*2E zRsrW-&=Q}E{2^-#zI!E4IrzRa$b|O5=W@1a7MRpEm?z8v^VkID zp|ilGuE9Juz%)8Yext1A>&eJkXF=9jPk!u`&fEAi;`I`;rgegcDc9L}<9mE8J$oqD z#mCZr#b@KO4F9X0-q5;1P9w8L*p@c3p}IDnRkP3tAHM-}78+64U@DH8X)f`xbC^A| zz)WK08DSC&n`<*BHFWj!&Os{OG zuW=2;{H=IHxisW6-3zODCCqnt7WX=IM_%zZc{%fHyhdNqK5M`BG#sQ;9EahUI~5ML z{|X%Z&H(va-SStGXL(=vx5d8do-a1ua$PnSV^?7O+jGhBxr`965|<`9sDAlR752S$ z)M)cqb8b)j6V~H*Fn`z$``yX!A^$y(-~ImkP<+Gw3|XZ9B7UDt{sw((|2Z=dZG0t; zTlEyfd%k+u@zoio`{iHpJfq$F&X>Q<`-zCHY~23a;L={};ikXQkxl-r=ex(eKl7Di zZamK;&dwPer@tx`wx@n+j{Qbul7gD z^Ei%5q)QSzRPAi`((Si645N|el<|$YAFntd&%)$31h)-VST`jV)BRjYcgM5R0 zch>t^Q^wZ!^F72jz9#pxQitz;zD>t77ZazjmMwpF{q8b&$zJKq2kTxIyS@ti?fwpY ze4RIq^)8@XahzhRSoS5_oJ)B=&Lme;&G)Z_el!;KrGAd5jeLk+?q=D*-7F?68n^St zfYatIr;YF&XY8^4Gt?e`p|UdMnu_gCN!q37_zt06@f=_5OKTJ4uvx!;C4K_;?=V-@ z$Ups*L)%zBnClhFp>-@Di9AotunXG9^18>Jl3VWf&C9E?9KB@we3={CSU$NpChb4T z-%&?CG}2tM^Z0o|cCznQChPKfkS%+@W4)~jNiU8iG9UXGbb5c7_916Iz&@#XJ}|ro zK)j*6wBRXUuX7BQ4ZGG<-o{-(x3dNoW9szTE}nfaiMP{dR~>e+a>|OCQ+O)#K1PW_ z`OMH)`mESj`b>RcN35@;TxHf5_KG{U^7$B!F|pxm?;T!Hxx4o!^x}!8d*F$&I9`L- zx=x(CDsi#tEyim7kz1DCkX`=-y1eDP3U)N^x*~r&xffbU4lhw&o9~$8x!d*CdCZ;4 zGjdbg>ACgk`P~YA?IOR}YqSsYo67~|dd?WkzvnyT$|=t% z|Cd)VfBf!F`&XMdkFs~swt2brWiaV0ndcOaerLeg5#hrh8e7x-eJ$3dGGgj)(MCQ= zMlAfz_ofQzfmS1K2PH?cS;Bv$Kl*ttx9FLAu8*7jyob?U@~8CvNA|DW{4g@x%HPZI!*2$U zw$JfZ-^KITf5me%KSG9$PWXv8#OI79KM+9`Q`C9F~dva@7})27sua>`$hh{awI(I zJUrrKn&$VeY>cOp&IxU8Jo_^q^5fCR&7j-yz}MZ4HYTr^KVQ%{`8zx>(p~!|Yz)+Y zMtm;1#WiMRW^5+j=}qvAHs0GCo?YNsPVj_o2MW)!<4HfNm*WX7=gjn+aqKyF`Z#_V z#{s-w_;bm^!N2RWa8iTj*zY{f9IKE9)Ev z`Xu@VMbY&iOkU@*||) zCw&OlVZLQ&)c$dwN5zv(eGav-70FyxQkqcCUc1RR2`=z8r&(v;`TL~$o7dRbv$1CjF^cZ}%eas4MT|*!8$96x|3zH2j`AGf zu{LDyIzop}>8!Nb>#l$UYpC)=@^Os$+zE$sfeqfahQ>I9-39M#ZB|n(vy=A{uR^Cr zT6E9Lh;0)64K8C&H{oaNZ_M#RaEkSs_y>AKdgkpkm!cDV@++s4?01#E)UVkE#;M=o zoP4rgl-lQVIGeu{TIrru?(u0Jx8tdCA10de+{T5@61~jle@7$6viVBt7~YJx>U7fh z#E;*6IWom>-QTJ^YLAR#=UE(UJ?bWJ^K07R^ELVx4HVbV|6l=r9sJ;_T4}29+duHW zm}hHiG*0>%D74ias(lCT%bcsaiuM|FY}b4TZu|QO#FG;X;VsSmT3{CVvFf%ggI{jb z*b2`_;`sfH#5v#~`gUtQU*B5K*Ei#`@6PaT{Iu5Tq&Zq(@yKL;2hr{LHgQc)&&jv! zVvVi$;^&V-&$)GSqk^Y-sxR3%T6+ANZ{O&&w{rAHEFV&NnSO09f^QP%&E~*muj(|G zjyu!Z^i95y@A!T*ozG)UPjS;^RpX+b{npr+3;WIZjQ4y@b@IYdhKZ#ncXiv@`aR?l z!n?1)GnQF<=m1YFs6xNCYpDg<*h~DVJsPKR$Dq%Db1s-1?yp}KcsX0=a=uP{8FWr@ z4zFOGUnF;8{6svjx#~@9-*Ccp`X3eiF7blyHrE&>d-*&g)9Kh0XCE8qkhx>NwO4P{ zbW&$FYVaA4y>|m!?&Sv0aQ3lkoa*n#`_P}Ae^X9mhW>WJzw#Yg_4hE(B3*^6=&Bg{ zucc2H@;~OyTn@zt_i!(w@gUEeW4S~Rz(aA(edlWEp!Mp7*`&=CJZtUQN2Imv-lgh? zyb!i@EXw3j-naB-w4caW`5qmTyKLERGAlisKsebur7KdMqA!XG}f?Jf?k_b^q=3ovfVb@F<>4h%VKjVlpCEZo&nwegw3y+{*tRLMsYIr;S27P@%Ii{BQ zwekIOy2GpJsu}03S2(C%7h^@{%nxeUUr(rG^f1^#2S1VilmjgGCwK-EK8W6lPbxnFexv|?>EJ!4aK9jTmT)3bXTI%#kTe03(cfUC*EDwjLfI<3v2^yP9_ zKg|20pGq%0w`wE!vS%gNceF|Ju7j=*z9PD*jr1n8?=3a!*4*AB3%2)Dd?lTVtQe17 z#cz0DcF*V|nTxr?NHfYRu}nIHF&o~{axBt8<|8Hs0f6lkb_y_lKJj{#v5RsNmuzV~ztXXg~UrTgx ze*A4W>6~54do#kCg5eg^f*hgwCHBKHb2?x7c;mM)L#UO^XEwJ;zX&?Udb@ zou+Pa&syKojb~5L?{k$S^F33i2c!urUi5AIic1vuN@ zHTqCL+Pik#N{p1Sumjr&w| z3%-o@#HF+a&!%$)$AcGljk34?W$cSPhdY~nUtF5kAda;AUU!iHGy9!QR=zvO?jagD zHb0-X>GT)>uW9Ggl=t5P4SLSqzt%x4wVeL`jQd6M@>hlO!zh1uTK>aO{#44}k(NKd zVsM^9`E_aer$c##@~hMGbGxj52jy3!<@bm3Juk^_enVP*)&W-kKPlgkmOmQGAEW%z zwEX_LR{vqj*Qe!gInc@oF{$t8@k4sL6J45;Xl)oS?e=L;WNBO$6{H&)K zoNrKma#}tT%D+naiD~(Rq5Lk&k4?*$&o?-qqx{IU{4JsU)0D4D%kK>3e@%H$TE6BW zgEK<;lC*pzl;1}AqO|;w1y=uql(YA}L5JZ`{^yi;rR6^i<(nukr{zZ^R}Jd|Ha`6Frh{h|C#ls}Y~zwxOC=XI3-Yg&HDA}jwr z%DYqpXKc?kh4&^VU{GPP@jKx;}MU>y2mj5u64^aO3wEW6L zto|vKeilbb%$F0<0;>omfs)BkER@*)}Zqlhgtn+QhsY%{^d}91m)U` zkk8BOmRS8|l-JVo?V(r{$jx<-ef(HEH>rWmf;ElwX{d4}|hM<>#m6BcXgJS(Q&8AJ)B^&i_r6iI2!RXw7zl{CN4Qy|)zC?b7ptdHuDa z{;#f_Ucb1`2YR+Pr`&m-Pa{t`5_4_JXY>$T%_Z-VzRM_C=Ns{y1NjcidsKiK;W9tA z=BFH+&g!b1GuET|8efaG$Jo|zT14FBIh-b(Ryt1coeIip{{Mwjl2;l|>7=|8bn0a- zrSc^3(H`BFG)m$$n?G_^tmB0kaDVbOn!A+^Iw7+b7mvd`mV-JHy!L1Q*h8TltK!nb zUhHS`lKca_X8G20YozV0d~iSa?2m zR(m{iJ}cnayzZ0W*dN|GIss0SEAkLpy9oT%Ob4yEjXp)PQLINyjvX`l+Ij;ppwVSj z>Wgpn$=_9)t~0UzsdrC`CL`s>S%k3fyg`$S=QM0j3%Qc5<>r0o%0sdbZPH|fHB4f4 z+Z#3*^FfqlJy~rF`*^<0ySVduT1Tec&zZ-zu#xjTpBZ!R4cX4&vUXx{1)DXWuwRHV zeFNAn$Jd#R&w0~upg$X5)GN$)c5%sY=blyTBZaTKYFffibi_cqcL*I}@X-+uBQtS* zAuEMG-a;Sw{vofM*I5wi{9y|`v~Ry@Pt5!7oE2uzE-65qU1+ zqC2;;rQwcF$(YI6OnCPMya!X>PvAE3{!;E|&aPZ0d^Hx~ewO9~JvYJqTFd*mhv=ir z=j&dT6u*296TDK{ytOD3sqSO{iSA0b_2FZn59_&R(?83-489(!XWC;p!n|lN!tb4# z-8|b~iKRjRa6Y5a?p(D))`Q*-dElt86-V~+Jnl!ZH8IL;FU8W(#(wu?;1SmCtH%Vr z-fUCSb>NO~jX#HVu{W?T_FD4S+^71$h1uu?cbIZViPps?>np;yy>F@;+fBaP?p5Os z>=9hsj60Oa*+Zhb@x2ey)x)x%thsBA&DNh@+r0Lq`;?XcwRLUhE#Mjd*LBY0t=Z_I zk`$(^4EBOSZy^wqJ=)n4b|}@O7ldcaBq@uTN%rZc8zk&4b9Mp z{3yXGF;{jkbAm_gTX;mAU&n8o&wZG?h;z>4ZTNL8t_4Nj>}v34CGxWR!{^#{A#!GG zJ_p#E4||QLCb*ASH0dbyP4yhYJ;l|F?LBbwMU#DL2QAZf!drVO4R7&u5pQ2J9CJR_ zeaPtT523RsZEZ^a8TvDyPoHn;#GEFtMGjZ_J{^r)zh#Ti2ljg z**tU+>t9~q-cx7gUD=eC!8_Gn&hDXK)Ytf1wND_N{ZVdCpI0Rx)_^l~N_I2f>?a_` zEpty;mcK(|Cw548p4dH@(qmC1s?~hU}(`3t3HXAS92+on0whrM} zqC4XG5t|SA$=)f;J{jG&v9o*QeTQ&YteqKwPb=`C+T}hLXN5%rtzpcF(+vEF{N?;- zI3?#n3@3Q7h||xxKhpei;Uxbt#p$$w(~D-qX$GD>IpPG*8cu~X9pc*}PTv$x@Ji(M zCY%-ooO)-&X$C$I_eV2c_}p+RoZo1L(^lbBcAUIjK6j3jcsj~~cslIQZrt@HUj8Vb zH9XXP@_P&U6UoSD&q#dPPGo2mavE(FG^t!e*)8nF@iMj9qWg}j``12B+luzDV{0qX z7vg!Pbk~WM8{u)vhg}}UYr?mRUYG7_;G5)5hMIGe$}L%6&kk$&D-2i8An;B3rk=m3 z)Q(pfy1Wjpz@Z5jwZAUW8w;r`9LA};lHbBXbzZ~orkrO#`_N9szs8ToZeW|RRi{c% zhA~AwZ2mRxDY+Cl_FQtk0vpHsX2RYK{1?3=0{V?bpBbB%Vc+$B6RqQk9`#kh#$o^D z(*}R`d(hPP+zQsNRpEU)_P$iXydB>)?jcN`hq`v|^Rm+SH|()@>+tT1U~2;mx4Wag z;G5UsPD}RY=RRJxeTG=j;H_x%Ve`p*SMt3< zW$g_*n7u&@@df78n78C!0rm#r50Iw|`Ag454Lcvpb|`)oZ%LPy*)MeC3&d;KJ$O7T zo&3-0Py1q0xahs6eKBvO&D7N|VNcB2TlbcIPfWq4NbhK`lD@nA9Spi3Uw07Ly`>i8 zH1nR`ttvVCCvdQL60U3T|3Hj)!L6dU^8FG&uFk$awY@90?VQfrmBT}w&r(NspPhj| z+AMtN*W_Sv!=6W6{z`Qj!v}Z=hU!*|_pv$7w^2{D)7UuEGTQee?TP1(x@+*y_~tJ6 zT$Z72$hFwng?L{Qb!3-(zt#BajiYu?0Cu<+dK;{FBe#^>-8jU#D=61_410DJ{V*oM zu=i8g_`Bw&@D``_-xgpUtg?j;G`4s9*q~pld!|&^ zc%2wc=j7YMBxcWHUNs9$>KaV^@EKvwPhh@n7MRpEn5>7)2y<=%^Tt_VQrBRz#xo<# z{S%n;W`RjvgSmeLX0!ci*h};Val`cYewtja4e!dV!(*wODu<%~72Pe2KH19{h<7F{ zFJ7D5i>m7s)zf_l`YwHUK)&hOA3Z(TA@fapgD$drDrH9(q4)W&9vb@S{#NIx*^7ks z#=oW?!ruSkxL*-oH`(_X519=)8*g2{IkdLqvbZ z$6+)B&qp*?)&=Z+bQ?Zy?=3Vs@Jw{b{jJ`BAGida18!QY%5ifV4@{#m`KbjPN8gFv z>C?N*opx%M9p|?8p2B_8=LC9}c&>Z4t?mo6DVA|9Ut;v)ztd_mdqv;W>7AU(6wDW6 z=kStpnqLRZoK8AhWPK=yRnDfe6CFq1?{4L5{d--&^JzNosCPY; z`|NqC=Fi{j-|zG9Tm5^Be}9Z`=Lykf+F3<>U;Ma9@^_PxVSPtiD;YLl4!_2DDbbg9 zwk8?-NZdmY-74tFT?-kz&J^P(*qlT^RQ55_iL$J-Z>r9B3Ez+VYj}^<+HUz#DywvX z6YX_Q*I=NhO$NZ@Unw)361!kHCH!5F=Y6Di#Jh_FU+4Tw-xcNV@W%(;p4vG%)n{y+ zW6<2rg)YVy|5M|#v4z~@0@*p%ffmb$BrXYixeI=g?z=Tz>$=z883d2!^TvGUx|ccC z*;^m|K`OSF3ZS?#40?dx6QGAtabOPybY7x)-n=u^Y%cKm49SvI~ce#bOCHQ+p@ z{$563x_jH!6TZbgB=|#BY=raB~lU?c=eVt?yUOodG&5$QJ!aaU9@bNlve30yn9cvHbqWxT<> z=5sI<-Wxu(z#izNa5pzq|QQDeiCJaa#QUnM~LIB0jR8rgxyb>OO4$(X~cXbd7vjvnzov1982(%-ofPTgcT! z-C;N-v>$Ytw)Np%jXRb`qFw;E{=)-5TAf5kMjVCz-#>tkblWLB!x@#t=PxH~1yS~+ ztc&*ozM9V_y`*xj3ugEo$2zV4oin{wj!$CWwLbeUy%!nOS`K*_D}SGtZ}D>E*vfAW zxfR(&v)Axj-N#El!ergxP+vS?W#md?j>pEw|7hzY9SpYP>U*I7KkD8-&dRI2_rCXR zCbNeD2>~R8z%U}RCnO?83lt+m#>kl1LyRw&8iEv0Gf~@^TB|v!4RLCnG`4bU`rvyY z(YirB@|>z+TGK?SpWs^$i7zod_HhQZ?jhO}>&s#KFmk@XYpr$fb>Fl1Ks@d9`8*ZS4`?}V();-Bu*uBR^^I#5Yt4}WHj$nx9bnNK`*e@bb17zxBjyZ z(^JC9OUSb@8ld}32YOrwS&jP-xE6o>d&%Sti_b2Tj~{n94|68Qhz*EjGKy1&`+tJ| zw>7rtWw>ql8X>36%305teu3tJZYtM0=PTc7;?+8HjQm^k_=+yS6?r>$N1 z&hUYLH-ACCfYuYH_ZvJ^^Sonqx|7K(;Z3W)O^*C{)fb&hhqgs;qZiS(RwUw97^XE!Go1$f^KT<8k!IhZ&Je9hjgZ1XDAoAO>| zU@e{hnx$G>tAB%|n>9!{gIFIlibO-GYKJGjChxl0NwuXO#e`o(K z9)#XAyesbpnjvHI(Q|&cp2Op(KfpY7Z>eG`ma7%z22@zniSLcKz1@uIs`kVfY=2XG z3qk)E>)b&d-dB8D?}+aq_ewYzj{U;D4PP$6#rwD1+6MW#6<oz6!{h>^+Xvb7@L+`$7sIiC_aHvMmH;4|(TGk=47WZYQ5 zFCNjj=$X^;z02Aogiq`pYgH;Jcf#}yyc_Eq<7ae@U=WXKP6m(oKs?>i*aKAT2EIB} zx`~*VKoDPbYQ^KaJlb%*Xl*{Hyws)n%$H9feJk@7s$mm5*z` zJNZ5P%O5ZuaT&2a#X#8mwb)*%>#kM3yLs>LS3l7EHala@y_Cf7>DS@{)K|kTaWr0EVIwUD81Y5|4dowXYYS*u_dM!-=@D|p zl-KI!4&3G!HtTB*vM)Kr2hupgSr*%l;(OnQ9{KfzY-=a)7HZ4#vYbsV#QD6f4fA(4 z*RSi*zcJ4z3(#%li%-jTCcoL>>A?S1zP(X?)X&-IL>{QP?ryxm*A{&ea5 z-(G6Db?9foTzbI02UG1or1nGD?$0{=pg51odBL8F=Pah9y57#qwy8Yu+vxISazEo4 zd~ZX4nhm?&?1Er$ymawt;wBc?*+0ZH>DZOfb|rRpRSxN zBdYwmKSl zT8{DFPt9$NzQQ-}*`2(Cm|aiR(OYdsDa-4S7xV5Ze;0a-b$W=EHRNdNDd`dIt!m!d zTecWoq(=tA`@^;FM)nUJ`EX9&ln)+!*g=nn>*y=!O~(hcWgVfmwl~5$U*nmr^?QQ@ zVV@G8K56eWUr2grKQO7D%Ji)@#=Xef7R8~g99+mB(=+NM>+u17J@HiAhlR(@-3j|c z#$&=76uEb=cR?Z<#)QIPy*D zN3j|4@&59T*w;Q(y2Z(~!G``6j-)$HF95%Es+C1LHPA}7RkVAL>D6exJTz6WYR$5L zXvyh&{d$FWWw^bREViZp*SmOU@JX^gkL{;*HpArSGGs+^fL_wtVN7~Q_*jW7qHj$1 z`+TGz7sd;7e7+EMB=?$w=oa*pcv*Q<7T>2|z2n^Ro73+n@vVYCR$3w1y#7?%b$ydB zVqeqc4_<$&^it6aSkMd2`pMd3BjWx;c^kUDS$TO)-{f}~M}D|;%YNSBYwIPAg+7p; z%#|UZW-Gsbg~ddBzjQ_Bn+Kkgu239a>kOOA2Eh)WZlFKufcV+v{@LXoZ?qj#9pU|{ z(gD7;ye-ke^RRd}rh{nX)&-GH>5p(2Xm^)mjmj~#@yYtSvv2DT788>er4VRx@6GHkI5@`g>v;Dg)v@?pJ>IU3>`lu4h+ z&PvC~C)R&`OTTFBwjR-R$0_0scf04%1v$1l)HOX5>N9q%XH=&mouD;^_d&IvQjsqV zUjEkPwe=nc@5Dh?i7_CvW30P!z90CNE~-e6c{#0y^(MSIMNXMxkE7=)Wa6~eziQvM zvv2Y(?6sL*lV2cSh9ATWvZ)z=)868y;$?6Z^YTC#S9;R;)%U$w{lUwd9lshsF}B5V z#Iwl1>00TuX1b#6c~ts=-)e7bKH5oV z($-JVL3g}b{v~m|>5A9<9bA7o!g1$(4{eSA3Zdk-v;%Q(W2>yldD|;>dqri}Qt_cDTAY{X+yE}Zoc3!Rc{?%T%)zu@oY?< zhp~c>pfhNOYh*XWg=EXeH#C;;D12lxE`Ed0#4|?wl}T2|^oy6zjPAa@J(Fzmza&0@ z?_=52dfJWU;9e+x3vGd8TK>d#Sgc!i-xc~wGX8EUOC4SZhW_|(eRM>9XdbfP&_&OjJn&q&?{#I_dbD5b z5%(@X{CvBUBG_p5QSkNsJ__GKciH-c|I%Idj*}=3C_Ah*xOCS6?7DnFd*7ed4Ct-{ z{U5S*W@cl&?J(aSJ(hbO>8fut583O$gMr7~9*N&KFrOknPS}ev-j@%?8d77GST`7r zkX>N0_%H8X_wR;i&{TXOyT8BxdVCk>lN_r!yDr?C55YRY_(ir^Hev<1mJN|U6(4-O zvG1^tx?v7A&l~C^#H~d)>40n<*4>c1$}9(G5m#Z3hSLaVFBk2Dtz1l>tV_n|FYsm< zU*)4^&zC&cZ{w*lziFpFcsJdtUg&oa`t{!WI@Y4>XE0XQhuTqB?Z(ufVnXOA&Bb6q zW>v29BGRwsXR4mykqrQM`fa!YUtv8U*wkLSIN-7#bRFgLVP6%z+vJg;_QC;3*L>K%!#M?`DEXz*%0*)%UhA5r{(IR)AUo{=A9@vjS=-yr#tA6cYP zpiQO^#3zzb>dQ73>zjR29WSpY$1QlP?)f+7t%0a4_%j+K)|u*a^0w$begEFNpzA+I z7wFE?SQpfT9F?_S>U9D9l@!G3=as$#b+)Tt0AkE3!LmJmTtO4d^@c! z*?!vUijR;3@ljrvY(Fhoe4r!bVC3~y44d(zbPBNMbc&Dvna=P&RLldz+1)4f9qCrh z&GrNe{@^v>D8OtwNU;;?HgC%^S(h(@-4T8@o_-6zqu3ymcW`tzePQjqZzu)2I4v#0(9b4G%^LflhH|b^OYV+(1^K|y+U7k0xc|VM;YGngj(9~=I^ANme zrD-{$DZh=TvH{ZJ9v9Qu0KuucYA4!RtV}jQHbgMU22lS0R~pL(1YckUv~lr9^bK>A z-MAOsldToJUJ)+z$?4fbTqKSu<>E=K>E+)T-*hx=t?g+NhkBRzDm;g;s$tJr>(<|u z?D)3Zrsf+brQf!Ax5*kblWkL+Xs~!j)Y}m~H#l1Km9?utZ_fjYX$9M;IojSjuqD7& zoRjLRU6nbR4#zfDmvIiF$#^ATx3xL_+()}B*6&)Xv#7y82ztuo3m=}iO2b|>=})*& zeb{&f8Z-V5KtvEdzFiTf8Us$;&a zhcAvxg*+4KDZSh3IC$ZH4qH!zHG#!b!ISmBFhA!at&J|&WaZ+Tzr4M{4}pi}S6RCj z^s?9>^BnW@6%N(L;u!4r>bs3^;|uX5Fe^qZ9#=f7hi}7mgbO{-{BG*l9xGi z+rPQ|NX7JP{eGXY-|rKaEN*0H>S~L^y1~|Etg&pb?=Ueb%LkBt7H!4j7Qep|A9-UV zCMe#J?_oZyXdB`{Dr4_}J^#bjPJ58$!XD%bo&CF*=ZyX5?z!!`D`tB?u_!;kmhF37 zd%>W0l#g%p^FprjxY>SKdyglMBOValev(A)6q(grH6PQJ52M$;&#%~5E-u`{KeRiI3jU$#)@gixjThS?@s{veU*-JFu-*~x znQxBY$9)iXSC;$@t%X!y{n*-Hx+l!xUp~u;sWYdzCHVl6TPf$PJ%bB z@r&~|orSIl{G#WbtN~TO61`*3+9@_bzrpuc---=bT)@wz==bl3SKtp9|1USsNA`RB zr`fxi(B8B5ZuFh;4t}2f_xt@JZ`^c|a-8D);+@ieE-x{QIpe#ahsj0o`L02a?9JPG z$++fX`#!$D@fzjEN63)Yq~fo8@hy_!&E3jP$b3xrYao-m?Y4I&yJ-7cZ+7D=KSKVN zl|^>f1icgy*Q9Ebpm@6*Ksx3f3P+8R4qge%hv z>@~^*jDI@Ve12{4`2@pF_|(gErkwGVe-y(d zy+6qFM9*1Inj9kogMMz))eW&^^QZ8CjE49yYNN6AKW_iJ;@NiUHSm8E>+5b_jgwfO zhiJ49JRU~|p2dA4#Xgf;8a^BRXu3EaOMIpNHVKAl@I@@b@iTtKaOg+pYJBc}J>&(b zOmwGSmH6LsKerNa#N+B-R+CX|q4Z4rEWl*<+Z5)mdg@EMOK|I4k;*jBd>_5GN3U|# zGkGfXrE=jO+my@S&fQNYztHc8lS_c#SI`IgAL|3jIJU&U7rVJF!C%SbTYe1h!#4Sj z{20pxK(;d*BEJ~9H@-tp!iz>ry+6d}jjqhz#ogs%rqJ8=hoO<9JHCL{_O@;dIa+JH z&fbE*7{zNJuHjepkQe;wQ%SjsD(G9K}xz`d$7*;Onek%48z~-;XT^*D7Ofx`RM_Z1HpB8Eir< z|B{Qio$dR2`Or9mCw?wD2{Ke{t7k@c$>IAw-QN!{1ReL6zU(iP$!rfEUv2WX^LW2p zDMb!Vu8KL@%8SySyE=n>W+nGlF6TqeiRFc13p$kxRPH>;8MOD>T}2(q#4p!#pAhkP z)=FlpD}{Q$;5q)7%d_zEF|fqThv?_aY8SgQTeBUBayzkM@%e#@w>9RIYu)7XGwn<| zeCG6{cu(NoK+sF4J|or`pmUkV>tk4YuDr2>CB60Xto4BeqiXshdVnv z@2WC?`O8&*&%ND!B>$N?Dc91iNte3Z)&9briI1_r6Lf<5?Ei@N1lcQee$7Cz1JNB~ z_O5pDcygurdDgFBiqEL)o)?3YbLy6JFBo+m<9^0F-_t^U`f;iuhZ0>2PmYkwJMli& zLijv~S!-qR1fBS1#^c;Q_jm&@Yi^yB$FDU!D4#}cbe1%RQL;D=%$lF>An^5XvHTmx z6b|dlX)7EJ-5?&AIJw--(P(;QhM!YfW7_=CiOj)ta6QV=v9&n(FY-*7ZW7pD<>T z27)ES8-B0w_-T0M5BX>hqo%X;$iLNT!aFr@6DxBX^;DNN*~B8`Ub-ZV!8&GQzRJ)A zR)<`&$=hDUI~M&Kp`W!RYsIlmtR-b%Soc}(7T-C0zlk$e0Vet|8iJ?HPDrQ1E6UFl zPOw!jp9_A`{j8LcJL&lay+wQDm*F6HR>l}Q$HhE!HYCF>ysFg^voqfriQ=R2G{BJcJ-c9T(jA}^zsr(Hpg#*x{a-o4f1 z1U{{KKPkvuv2JNm-{hdKvHh_-ClS{R`Ol>VeJ*d=j}^+>D9>V?*y(0%%?6-*Os3!L z^ojWe*m{czfdj=pWozG${tLVeZ)W=GbDplbdsNUNz3mOW)xC~27<$||xiez;enmg? z4<&!nMaBBOFURzvo-K0tjo-Vf91DwCMQsC4k|jI~xPY!+2X$G0=-9K-w1^Y-(C#+e z8ISn2ci@p|{CKVw@AGTHVSo3h@=Tk~m2;8G!Hb`TxrjGPtix@++H7wC-|hl%_^bA< zHU4PiA1bb+eO#L_yf0prE=gER8ISPHVm9Enh$qhZWxNyH}pc#Xv$_^mqxO6A>;{;#8))erTg2a(C6 zUZ;<%jcobsWaKihYiu8(OnX1)x_+|;(RX*JhY8$-b&d=c{{ zEQUsZp-izai=|P=VrlppRwjMt%g%sDgD3JqY5{(gb@rKUs0&{H3x2KJj84p7wpVwj zW%r259r48SvYhT-LEh~auh*dKK$xG-OUifrc*8!LEm@W5Jf`Ivnk^{y*K?Ns z@T-E|3;o%yy}bwiqwtNk)OqZ2ZvxujVY8`{yO}uXx+`FpxL!?DRYM zT`c%DhWCwgV~9tl8zXu?-56mm#y^sUcIXZLQux7O(bx|+@GV%6uk3qZGw-13;T<#< zvmo9mU7>d5t@>1AXc%++DktqYGcNcD*})KYe^&xQsv2#eK$YDPuK$n^?vx4|DF8C9&p!J=j-ppSLN*dMRokgQTDp9a}y5$ zC%W0>hB(8-EBP8R$(uXVE6{uwv;IBukJqa@3H!+~!OMrvl#LV2hzxk~6 z)oSm{^j)Ek@p6(@ONr_n>)Aaky;frazu{_lWjco5`K8Wbg|fS=>A%JQ_w}Z~i2r}` zlJsBsU+?c5Ia#h89N&bTvgXz}moQGXo%1=nN-28_=$qZww$0rAC}+@~+;ws(BXdvKV$^ZBRG)t%2*bKi5>$M7TDRPH`C20oo# zhLa?-lvz*TsM6O5y(rV6oruqT!i4(|;byz=@t!0w1%U z8uWg2DeB_{^^uQ}%8X=ntuOllX#7!oC$n&2|-u#&Vz<;$D|9mx!<;H)q=WEYO zzZJ@gI(HKLv; z|G7OC?JE9G`#sn>}3O1L-!K7dX;7 zPQNvt@y@$urN0B*ii5zn2dmI8;3~i;eV5%eg>AFnbJ02IIQkw@E{m1PKcZat`RXs- zy=nO5O>xP)V~wAt!}qdiUXSow_%_&?(E`+_nqz2ZE^oiXZQ2_YUFW& zA0K%b^y9x9I7ex3ba?L5QeLKTxBmBlN9`f&F6n_z=6PeE^J_L@i*NVq(cAGA=$AWV zz^}VYq!#imG~Nnq@$L94;XS9iH*g)Wtb-3P$G&g$_FaAUQ(yiK-@UVUt3S)xt_Pg} zOwSNZ<+g**1Rmkm=A<_C*IR1%MV&TI-$Z+FpPjv!ahdzp`CErKuGcP2?^=saUyV)& zzMH_E!3AC_ij{#U>-Pa!P*nRCS+?P1E%C)&(_~tjZ({j!9UAhUp5X%-! z$o8S$-c9K^zNX-lZ!a4oA5?H0#~vFjv%1qk!Q%UU5&ddUcnq72Ut%`rIQX7A4(Dt9 z+|{@B^#|SQE26&EdY%Y8vf9s6@r9Tli}q>@eZaG+-hpxY<}cPBD)0CH{$7_%ap%!S);t> zc?kc&?)K(#%=u^VvmYeaNAyyzPGv5-_OV91$NC=YOb;CS(BYX~?%lJ@@2<|x=&#l4 zoAbi-k+rvY^2LXLto6bw;DkoXCCZ*}cnbZSZ%hC5leLffcjMC^ay$_H=g1!}&iCIW zD_zK!_bEdg;rY(FZ+|plUOVMSe&@V&1~ii&pmF0iq0fQY&ZqnV&nqQ#??&bdA5=hqxE` zG`4t!+<;Tzcec)n{11!Y!pDL`ALBhwTf6%`z@#>QZ76?7d|z6$+3xoL6yw>sr3JEy z+fT_a##g?!zShrgE%p%^$j&H>uYInK>gD*d!1oUJ>kmV}TPlweOPQM>hunWr+Rb~; z`X;o;^e2p8gk5}}@#Vvf{qdZPQhwC)0{NZzt9=vuxr5ngQiQ7@FBx1*3UFa70$ew= zf-A^I5w6QT{hPqG^L#%?@T>c-9iAma+(8Sz4QB9cdLF#r$Na4<$Qgc9n5*d54Q#qY zTyZDchhfSec;Gl0f1Q;!n~TrIILCI? zFHP^#I4^VK+(i4az1Z8W{HLt`Cg$6Te)4O@D)!sj-F;d5wy52!X=m~q;clF^alAUi z3FVa@d>-L1I?I?u@#?^L^}qIWg)W+VasJXb~yQ( z#zzs}F4KJRb&mJ*pEAw2(vD9^pEJ?@!ePBU)BJgB|FdVOo1*qhnzZknn}^5ReROrY zCTcgQS-S;I+P(Za>GG&usaZSL2J!rDycuiK1yQ@7vYyG!^JeJ!ygRV*$)3v2aw6!lO~<1C9xV39e3C1j53D${&EeSE^qWze|3(|$y*ZKmrr#GqXV!z9 z`f`KiOA#zRvvaT*Z*9!U>aktJ&rSbE<7{+1^*+WiK2@JDZZQ_+HrC_OSf%+>$6~D! z>4jsvUh=&39*womjrF!@tj-s2&hdf4y4K6VHZKSG|Aw3Me?9$k^|RLX^LpWP8*;Fk z|C9+&oxhpy&)Plo>*?)LyX{TdB`+<|;f?Fk-;df{)1*!3<|boR*Qc+I+Fe1r`s?8j z`DxzgK_9t20P&M@px~#9&arghFZgG|Lk@@ES)cwV`dyDc$@=rL-dgBScl<82`1R)V+68sQYXg**(095dl_1-zU5&PS5cGd_|$^bDO< z+7s?A)q2bJYh=4vznQMxpN>U+J?LW^CePP3_|15pJq&{fAJugKLJ!YtE>DlC590K~&3_d< z_^O3va~JBn>0zCQ;&`sA*@Bz0E3UJYcc9`b;NNhD+8g z5#K+#Yep%(UG3*M9BvQodwqN4t{&nY;CQFjWUnoys#~SkwqB3w|zS`3$^YMp0(i7-4KKXe0N^pIqJiics$j5fW{bT0aLND##vEr}#;;c@V#}dEDyffsL6mk9ohsJm~jVn#a*+q+2zQdHH#)^79C^g6^D6 zS~}%E$^3eB-Xk^n&->ZST+W`NetS6<{YP1Ijom{G=;~y${xW!;HHp5nHEO^6Z*sfI z|JFKmBfq!6d&mdzGxr-_B;GSo--N8;XZG+v=_#e(l`qA9!{{g4(tC+B^)R>kJzf`s z>ku;;y&Aj18mEMhZ2YtrI(WS>PW`ZcI7vT221mcw7W++4?z*^~CiHLl9<&)}AJO_n zZq;rkywlkZEr~r(Y5Spa`jgANUIYhY^!*R)Z3w2y8r}!#b?xVt8nW#`x>?welHV?si4K?3O6kC3S73S1S{gc$c ziuzAb|Ef|~SMTGmbG8EeeboD7&2Satcp%8maz8%0=p=kJi*?6UZ=3bORmA7}mXQ_6)C9i+2LVNHzwsrWVVkC6FGOUcBl_GID`?8P$no7lIUF!>>l zrG2;Me7}}B)1UmodFj7gn%r&ogcaaZo}u1Fa*2m8#3G)c|5fyV3H{3+HSPCj=cV7F zU*mV+lwLW^dyA&SZS`^YE>5EX_^v3Hc5^Z^msnC$S%xmbZr4MuQ$Kk4tm9qaJ)F@I z86c0WLA!816rC+U$<|pN$W72^0T(+X>|k>B2(NxF*MG~+2> zPjw7mz|jjFKeBN@X?bqr=;I=7s#|$UH_G2si-3+!LLs$0wCoYAqtDx&8z?Sh%4By=y>1zwL z-7MNNRx8}=j6jev)`l5v|6FlW_+uwFT5;0V^dsMU5c~$4UG%*N82e0lUf%a6e=g2> zHs2c`bLJQCc$6HX4}^U{a)@}J#!Si46L<2i4ZVNE?p~$tCm2`!P8|M;lk>ovucurh z`Br+a@;ZL4Xc^0Z)?&!jdu(l3U7B7DjB1n1_dKF^yDwnR{pp;`X;0%hnqRUU8w0&F zKcw6JH$P;t`<)P%(s^gg_{0u@dWUjtY2J7 zf4U04ggI~*|HL;>pV_OkJgl=vIDa-VO1ag0S0x>f>V2h2y?QtH`GGz=KOgp!W#6s+ z`JL(GQTxAX)&5H@+P}3k{c_a)V5|0zv}ixtnT|y5KhUcEms_+Sn3*1k+W%Rr_Fr$& z{?N?y{Zae>(yILzTC~5gE4?#n|GHM~zty7s?ymIKsQquXYX5k{FEhH;yVBQ3?OxKP zoz=T$R=P8)cLnv%CbO@m{^V`1WUu}eoB?TfIcELmArA|YhYJr(md~3i58{9LEY5*7 znb~|EF|LO$ADy@R@}!;bg}X1;p1a9}Vvs)Gm-$M_ruNg7$CK6Zae`21(ATm2Phw6< z$>*Lub9VYScl(?sY<{S3_J}^skBRF)XLkBuo75lh{RbTwzQX$^;`F2Uor5et ze|DM#8i1p*|F^X)|Kbua^VEB+Nj>2tNejGiXm(nU+I_iIyT2^7yYOl0KSu5TwpF|L z7uxN9TKcu9-KSc$`*5LM{b}jnMeXis)oy>G-8FO4Ls7f5RlAQB+8v&g-W#4T zVlsh`DF5B;$h%qJE-Z~4pH~{GzngO9|GpDh;&&!XL+-!j8{Y1JYmIvwzu!rlD5f+J z&ZMavKc{jT@ppb_aV6FfRlgPxUt4?X zm(@KCqxU>FUi%)~we0+KGkB}d^L3F?d^uZ7sV?Ij>lr*hm2Y)9^};w~JR5scGBJ;F zM&CrP0Qpm2tn9wFNBemE7c8@QruqhlU)NTH&wo33IPk)3eVmQ?!DqTLKjg+-&X_va zI~vMA!c+WG11bDU3S=mS`7J~t;5-{UT%(VN|T#=en^C@1XrW68)9ibqhc zd41d0k0wRJD}}0lgUFp7tc@s zkg_`e$L@!YJX3$x&wFR2(EQM@=gd!EOPw?S)5li+r>C1_+@J9>9YEZ1{C^TtiE`X3 zctd0sl|-GpBds>t5~4c^;4F{r$T_%vE!~B<_d#U&{ZCR+_igsNms2beQ$E zsG$>TVJ#WYZwP*h_b)Y(s^I6dtmbt^btAv%tQI5W)q>8Y~o+a zx6|GTV+Xzz5BNQ;L%Y7VApP3Pse3^+@apaq_hUdG+h+p~?HTCaPRVK5FUa-z!l$SA zt54_{?~}dP(<*ltPXE+*0o=Q`d;NXOyVnaB7E97Ri}zQ4+T|a*_m;8m#$4;jwe5%L zH@sb2`@QuCmVa-((Ga|aGxn0za8J>`@{-e9_v(M{JSH(e{mN&|{lm1W%bS==Vm3;St@dVsq1T;oz~x znp|saJ)c4QLH|3*cuhE0KC*nvxW6IapPo1CkLOu`{LcD2qWeX+XYu3#@5^NPga5^w z0e?k0#`v41xPOMfnIG(;-2v{eG5qc?8GaAAJ3nmCJdW*GXFL6w$<9Ly)5&K|m7T}` zm(xkP`gw{sK3L1&&v?36X9dk2Q&^;((t^YN_m zJe4oz_p47GD06<>#Zm9#%ntXvEH<5iUNZhgf0$2Q>wooO;Xjni{_Hefb$w{Ote&zl6gI$v5_6Umrrxk{zTXx()%vsxk)}ly--ImO^IIk3v)P?CAfJHh%Yu6y3 z((B4Ccu~enR}sq#@AGu;mL9{_U}r|8XL~y%Tjga=_e;&E&pOYQXHu-&$=x!Q-rf&p z`)857R*`9FG$MJFtn0Vrk^R(>%!ZYtGeCi-mGgnVt_400=YJ>*=YNFbO3=}ibB+)m z-VXn6KNa@$e<=S9oa^k9?j>lkA9GCmLbe~{>uFCxdwlW-PJ;J7bmB|UiC1?f6E8-7 z&0gXMNnhl6;$4f>u|L0$v*_*qUwSNY2)H%da&nJ#L16f`Qzb@rHEqZUw z4a{5jDRbXPuvbG~PKAdcv&4QRvk(6CqV?_$Cf;*G?x)$Qhsjm)`b~G+n_Y?W6$bq} z$Hst1B#*VB3ytSw_oW9Uk9&nb_;%mWtFqjm+dE?k_x9$Jj|i}xJf zh4U>Q=SL%)3+ASHUDS~Ouvczpi+UYSdVlh^Z&b*$sFfG<0pIY*fin1x-T_`4TIBHk zS@%qPy5{GsWUto88jAcf7~L6Xc-ZLiuud|4-Kj`F9+LlJx}Wuwp0Q8BH+YT4^Sbnq z@`piCn5Y=QIfh64|j3o?@VX{2cAGzpG5B) z{hg1{%FgcDRlPWU&oiMtK13{IzvpQ`JPqyNA-&Ll13qY8PglH5OwrTeyxIaM=o(K) zhZDnx>>s#`b;e5OXY-N`#Ew<5W0C&ev+JW5r#CPkZ;>?!HrznTq()^j?2allF7*Ddr8Yp*{ z=B3PeUs*o#)aO0P?nj@=bH(UtNAQc&lHCVW^KziF`c`)?wN`#L{k!{aSZiINGoYRD z%~hr3_bYSnyh!ylKhE)UJ{fpg^>?*D=ZgNCwm<4we^*ES740-IEim}|Cg$<2yD+{R zY{Zeqxn#4#HNy`qV+r!77)e4x9&uK6F@XP4P$7 z$2{UQuRk=~34XO+C|`Wo_^3F3?4t&KR<<_&%t5z{g84kZ46c~#gZ<|KYiC1dP4_Zpe2%4#Ju@6pE_sFrH$Ycg z{{|glKCk=}>PT;!zE%7n=!t$mPvEKPcQ5U=-VXl9klF0aPeV62J;J=q?xIsom!K=_ z*hcA5`P8OUut)LN_Uy=x!@2u>n#A^OO*FI=9pv>_+5gr)u=M}X4QAI}eiXkWpFG10ZH?B% z`3x__FVN041FG;`h4Dd2X_EB*+NAtf5c+r1k zUw5MIh7VNdz2yJqV|i2a!uIWAt=f@HtP$=y`j{u{J%gKX=5drUwLU$;xPomN{AhFZ zF`dAd_X#%U6T@~pu*ErF@&5gpq50aYKO}iY9vPQhbmVjlAH?JXdC|A+*CR8d{NBv` zl&|?qucgo8*?oMJamtAu+u42fjn4SI&Yz91-91v@RZ7FV3+iewdq;nEb|1N}^jcXK zpR_puOXWJjk6fa6YX06#*7Fl%^rv|b@zI&miq4u)XV||pPVqANm|BbX&fYB?eYtVg;;6SJaXoZ}JG|zFPmmE z3oq7@FP+id315kK=LVVG;^k@!G-7_rKMyinU+QHRSs32}Uqx$QlT&PCX#ueX$*In( z_xZ_^AO7Xr6>;>!kkzRk_g~rWfxgS|3|16VbwU;c@ zpUE!K=Z?=zwkuvYDPB58|6c^gBjhU_#c!{8*{(0}xX>7qZN8hz zw#Tt#`>>BkG#g*KyNd1}y{94T{p5g1)}ISc)LP)F9&*VAhhz<$w32u1hVfWkc)AQ7 z)q&68{Rp*lxV)+H9=yGcweNt&-;|8#>`T6`e}^A^)jSUm`?_H-LhVFfea1IgZp)q! zpUCEo9GR^`kJ!A)jrhf~TC5=8);9V!!C8QTjFg)Cy-;di|93SI|$z zKG9EKrOz-&(NKCpIw~$VynFt9w{%n!Ia0hw{0kqO|5ptTQsr=5(Pn3s$&M`G+=z6*Q8HSezySDzT4T-xFW-<9EPARlLh{(Gp*Eq}iRfdMDHg=~DPddQ{(G zjV=Gv`e5$rgZVV>r3Lm(2C>iM^LFbF*u!;va`8gtO3J#etoc3gejQcspl&;O1;_Tg z#P7xYMz@YHrhUAIifoJBRiJUCuNLO@xA9#^($IlHS9bKdJzVi4`k>3vEpI=jmro0P)b65RP^3NH| zVe18OW_!SaKbGhDBj{<<(Zs<_NAKxL|Gb-Z1^gJVD{gx7%wD~_B#ay54_O&;_~VQk zx=?u0S*jT3zXRq^@X4=@+&V~O9ThFc<{IyJPgI~c_exFr?^37x|6~7u1GMZ{p%cl2^^&BdvPYgG5=j$Gq8n2pKp4{AOI>TgI_xLsT@CxVXp|7pc zz`by?AAWgmqV?_$yT97#48Lfd*o&O>LXY5Ig_x4zVuP2_&c@wPDxXQY@f*17?A(2A ziT%em>f8<;Lf^*o;MML?6VIqG8xNZL{-h%$Cx*L4{(Fi4?n$hE75M1umTFIuyNeS! z0*^D;ziZ^)XwGgQp0zjQ*&cQ@mh6ahqt}TUpAQ6?m)@UC9q=Yw_8jJ;`Kpa_u5Eqa ztY7qx*2C6sS3`cXepS{<9pyI-8fcUc$sz1UZ* zo6TkcgW(aKFTNLl2Hp(#R1AW1SR=Rlv+nen!LR$+G)4lv5BWKCGY9pVlbM)*%H0+p zGu|l^+tGb$&|ERI&W&z=Ry<)g;|nuV!<%?o>pIp1(q+RQC&I($80!rB-ryi^afjA; z`{t%My_5V3WFp8;9oeV-Ph`_-7bNSRKo4;CcF$EW-IP|6-=CpBd@Z~4IP1gf_PXyQ)IH$qvhUCsPcakVhp*h4Ai&}G zq>e^?Jg3c#C4au=;Sx>td2!rllkv5_7y z=M(4=+V}YOwWvKW`ZIX!oq}QBzWrb`d^CYe_iPHTqfx(Ki|`cqK{zr$#M3wQueNpH zR?m&b@I=M)T4`p2-{d9OCmF8oYteC;9w{PposoJJqD~q^B#T z4kt&_KgjAh-@QEr+u&`ZRGS96N2_*lGL5PEXzz>8k!Hj}e`){|N8Cf!8e$hHvSGa1U~<=!C`vpo$Mn7zg@m+oRb;gQMt!Y&>yBNrDHve%C8c?*ZMC$ ztl#2a{gzw@*q3Phe#Q1Z?$oDn=i>~#@AZ^$R|0pR{i@>N)EffF!Ws1fZ3aDUIz=1s zC;e;lk(@FgemlJ-AD>u8MY@ObLG+e#E|nYa_TkvKldbS^=g@zE_b1eg;r}uJwN{DY z+&c}N!yeA>(Z*;G?-|bbHr76I|KFk>;%T3lw*p*);8g2>wHfxmRbM#M`kvU=DaUgQ z($BmD{DFVl+Y$bn@WTjg?YYqbn>X9pyg~Tk31r)B-WL{6v3X~R*$9tS!N70oIe7Rj z+Sh!!;8g!1#&c#P{yZ|2a90oZR`-i%ykGY=#mdC{qIcM{3bGscr9t0`M1G-oW&!Zt zrM(62Be{(GNEAb447>AK@=LuQ$!~R2nlz~=Jd%g#-elJubr7Th&guQd|ystH-!n z<8T#tUUR4xaG<$`Ptv~o(YIcVjg#Lb`{vJtg)xKgs530$L9;#W($oI8d=y{_HmSbJ z|DH>oBfKw>KC30_a2K@wUV!fkOd2cU{tkV2&y^2{K1P3q@rMIVd9F2JFSh3(-&bLK zy6}6IduV3@ur0b1Tm4wh8+}yiPxA|9)!E5J-tQg2HoE*y*+%Y9OP(pa$S3y>-zNTM zura}|X#H>d&9W=lLHjMc;`L*|W6&XA0WRfg)UkQeYj=GGTd)%Rtd!pIeD3KP^u+_h zJ#8!&vogQdRxGC2uI_pC)3mE3yDzABM{?E$&KaBdy0b^{>8Jh#7?vj^l>(pEm!nH* zYrddwGsgP(S<~?5dl-|oQ%kw|GoFh!s$+Z^?&*S$L%e9(x%T976lCHLTJ#z0@U(q; zU$h$Hrvd(0_N2qWh3RMiTl3HyOn-q_{ZH_HKDror^6O=2^OM+C1$i2vu4q1vUad+# z*i*OP$d+&;Un=2VH0-KdzsQye9`9G^xxK4Q&(URJoZ%ohJhwa)$ql?SMQ-rLOm3(* zP9MGW!J5IzjW3fN;Wy6DjRoI4<*|ASW6{Tyu@<H9qM=A zwocvTerI}PBmXxszVyagesARWY-D*w`4;7BR$l6C?=ZfQaxcyH_H3A9dq;P)rJI%a z_52mKhw#8f$=%B|zfeBwSyp~OyXTVhICr`nU!F{qi4mSynM?rS z-MXvw#7g!kR#~jg?#{WZP;UKeEy6gx*n<$KQr^t&03T!7I3IQ6XpBGNnPgP7u{h@9 z#NwEWSJuH7@-11M7}H%d^W0rC1{*s5g{=4gg!f`yCs?rgI-{rjb@ioK=osVeZ1D^@ z4)r`Iv9@Y6D&F8Dczd5f_jdDtt^V`A7WRQ&LO-iI)ImTo6e*&I~<0w+}75TIJKn=T&_6`Oh1p-=XYWzK3boES8u**Mp6O z@8WluGB1m@SBTqaE_xSuBR{T_1?ZDPJM+X}CRwc^qEe${3)S>$MG zFhsmn4SOq1c;;v;oJ;9QJm+{PoGp+)*$mDWyfYAD0!5yPVc}U7 zelb|^X)-!{-uTh4z#IQw;|i9Du6EbzUjR=r_RbnHd%vn=PiqLtt6~Z!pTtURUJKoN zrZ?h&VIQ}!HsIFwO=Gzf51^Z^Jvuq)m%sycm9>LEzpkwZ`l}om#udMi{s-r@HGOt6 z_>kg((#)=m2h>LTgYm=z0cL13SMi=>lx6$X#QtSN#wfRVICE|WC-P@wvgUR60-WeK z{-c8nT{h@tsvUgWd^`;Q!g$&b$o9hiBgYiKG4Cm3#(N1v#0~Ky?^W!Om?QMHxPi&U zk-Xl@_(1eS$GKQJHvRjTq{A0_8)|Za&&E1tF!(!^?I#{7f8kAv>8pH4$5bj_-C{ZoMHi%$`zo&rqCT)!?weg?h# z7|!8$J*(pfCfxOBcz(mGbgplop!;)rqTDz?F(5j@7ZrTB8a$=54P&dwX;}$9R#P6y zbKncseG_Uk&hy?*{8!G@p2YVIxo?%7=$kFch~7i@5M$r_rsRc{@N#+I+Ev7@%du|LAt zT3hV{Uc=%0o|(R#9If|JF8F%1P9feVINwW|_)s6gO6*$kfMcZ)50EYi`j6+G3%pE} z7Fxd2K4e*a-$6f$!P#GvzC&Px2KG?b^30 z-5J5C^@!SZ&JMD9fx90-WphK>f=pgN0S;ENmiPqoUe)gItF6vvy~;RRR~vplvnqWn zW9WYTn2(D7^%c~~<-GTc|7NkLUUv5(#ry~Fjlp|bR}sH)^aA!?bc%8qr_h=h?HDmT zqcyNz8)#i1+>%qFVwcP zJx|loHdReQ^z(UYi!Kf02HL5eXcy@A)2BP$QckAUb~WZzg%&m7 zuR;r>K_~d3ooHgTICN<$*v>|a@6q?vy*HM=$c8 z^%1iH$dlf|DwtXu5%ktB; zR*7u$D&ZG+v^W2JbZTXWdtM7V(LZa|XB#m8F71e$x;^4% zZU9E`GFLcwNVWyMRM54d@1v0qzniwB;8pG9YrI^0x8?l1VRP>(#{P%BL)m2W@3hYA za=1KD@B^f?;W_8Ol^ZY&hTKFe177JL@Ezt29!G%J%7RXk-5I0)3$+jI*O1yniR%vg zxhW2%XQ9oys7+mC%BKLX|KV&eargMFOe1cUo4a_mzx%Lq*>k)J9z^$M^Q`%KhFqoN zj9um(+!e)*nQztmJqa<;UC7C3!Tx9dBkhdO+a-&vm7!IY^@8(>{4>cX<>SzTXNGg* z2hF$B!S^`xjox$3)e(+68)*I~Y)B~TwU!_DGqPzs(l6BT+CF37f{+`?GRGG>BhwXft z?S0Wkx^#3NF<-Tp-=Nq9cs=U%sqFzOm*g>U9ds;n++W_F8>igq-^Jm_m@&KaF6ET} zk89mon;P)GKFF@dQJ>AmdHAW1)5bVoh{m}_vN*3#HsVlb+wqaBA%=k*1YG2D?B$0b z7Zqg5;Cp9e&m~WOe+63D9<{lz5+3188{5kD-ZNj`M!D$-+KjOmmAm`j z>p=Avo+W+sS9b3`h|5)G{gkQ8{r&dNgC;n0ur>Igtw5hL^qGiorat3O?M?r*KJY@_ z(_Q;%l+CS+N6Ylx!+#%>szrL-ctbdrj)r&55AbW!HtfU6e~I$E#oLlCc>P7l)+l4- z?&CPp$W04*BJjES`GQyS8f0U@!(e5;PwC_<7r1p0`rLBra(Nv`N{@`LBlm7?GC9WC zt>debN#erx-s$>shIr~TCh=T*IC!(`9maF{~&A(6{=AF$$e9pYSI^EoR{y&~Oep6E&D!=MKXzqp&WYY8#GI}BS zICG?tiv}Ot-hlQ6`uJ#10QpOX`HpkZ^iFNv`ENR8HvO@-Q+$QGE)FGqqjH}gQuqE6 zdwa?|o#5Rcckja&nk)HG-38Q@JfowFbszS1wI>?dpO62j_L`4-PjHljHdK0~@|-_= zw3_VuSLuiNysP>A(pRfkqo@T2E$yBJLo~q zoYRHGyq^HCrVD?va*8gLJ{ULoX20m;joe#}_1lbfgXS04fiCcX(N=Y? zPxvzairX{S!KctZ;2b}GgmLq{@x6yOgtBy1r`y|WE@9;v?tyGQ-(EG|A#eJk_O`eLpBE&pY;|1EpEir+7zj>=d1-zt|L zQn~DobkH__YmB{&q2K7w`n&o4ZqIv*6Yd6g@~tzxy7ve9K6KR=I;P6E+H3vLQ{Y)( zO?Kj^tm{)gu*<#cPbPJauD%v|+Uw8n6`l)!-&GyW6@8Yg*V*Xj8_nvVvs6F6E5yzY z>wQuh$NOWWz;WbPX&;UM*J{7I0bix~&a~*6tsU@PEY~I~*P74xMY(W-k9$ikM-liw zsQ$4XVgBNgZ0&^I7!Eq}LF7d_uTfpiPd3DGQS<{>Ce3|;mC&%@3yk)AxFWn&fGaDH z;0=BdF`@bOy~yHQ#7o`}k6=AseEweePJZiqp<9dhvd43MRP7`FF}xh`cMqU<;=0&# z=MxwE)*TUk%n)xctpNAp6W_P)_Oi7ixLjX^85$XC^UVzJGH z*2=95u;=i#;Hk~Y>^=ScvHIJFtj!g@kYQ|nuhsVQ3(+lQ^L3qm z>1gDZnIEzNU9uWo679Js+Sh}REe0@eH}4v>cck4_qCAV&1YZF-#~H8M&bZid`|a}> z%wO2#^4Se0{O&rwu+{0_=$ahZH4%8pVtPvhce^(dG9$yK^r<~^T3Ke;fwoCeX@r=M$P$l|4i`aVoLqF^QWhE-`#`k z`9CCyo+ke2Ow{~vcJu(6FuG)dsp2m`&o9LfLLPP?-y(D zNiZyj2HH1#8L&tXsQv-s;JZLIqSzi5xn0S02Cim?ONIIvcGJY3ECS=i{u z_G0*N{h({qPs{PqN8&@HgK&XQ{c(S$&)Sn0qxQ=6UwuFKOA0T|#z*drp94l6HE zeX=H-w$F%G)Ak8%vOZbcP1|QgNAr3aw&x0MWtbk9KJDB&w!}p>CPb}{n`99-ZNiKu*LPAc*CScC(M>c`=Dz877 zi`x$i`iuU8FQE0l>_2<+*?hduz&;H811^-0tGhaUx%n_QXPzD88Fzu45=9yQXyX!>s>SSI+OB`>(lY0Ncf&T4>2e9d~yPZXy zgbjSt)6hxiYsGxoA3ogK+0a{W2+x?4J&W4^=kScV7N6Y^o`Hknvu)uSxG6rnhG)uI zRSY2LgIavgSJv`S8!ErPv8&m zh@1voXYUbtEV`RiIFDpRck^5Qp~ii`wU85SWzeK7*++LvE+3B0iBXmt!~1HgI}Sb$ z@~#oxyHh)|UAf$I1)s*s#%u2bpNmh8!RM-@xg3OduA**uXLrmq+Sg$pY(npyl7CT# z=kz@TKKp0z`a|$&d2--s9N+K~>>hZTsGT71NVe}Ad}I5RNA)q*2Oq!e%wFAzE1hEc zlHUP7<(vK6Y|d4{V_6wv|6FD8R#wKiPpS-_%F2M_36;T1SsC>FXO+Q2Ss8GSsSN&6 z*}neku@TX`FA6q7`mL!?h|Ms63;8U{3%sbD9P&v#?=;c7it$ge5t3hIGsydJw&uXE zgMVZrq|dYl6YTYlh&Mw_-^$d7R zFJ^at#Wt+~@1W;lTl>Nv9^S)s?2&XT`2r)yfn!mWKNH(d_HIUqyUy2o_vB*cDjDr;Mx=u`ZuHGc3nn7eGP);}Q!sk0~2v)Cy0 zQS0YjP0%UGNX_eH-Suj8f$t9R&K~W%ST0i8$&SxOvYdB6zYMp-VGkbrRxx|)e4#-P zTUFzV=IB1Ht$IuFrq63KUT%>3Y9}av58#=ohbh^qTmZG9E_V7W((8^tGdzrI9PVDX_Tcm&Fy{5Ww-w;HMtkv5 z-tXCRfIKsQkA5UmLoT20jOISH;}m(96WV{Z-;5)8>^JjZz2Vk7k<5hk&h@k0dS_ob z*eA3klua6I0e~zNqAo7c|U8RXpAd)#u|M>_?seclxZEL`w=Xk=p5HTqIJvu zSl3v8qQP|iMeCnw`|AksouxnO882uJI~{yw*I(@aG}Qytv;N9ae}0WH=>00$FMM7n zmu2q#1NT8L2ff|Voz4f#_u%_BbU8NF`6jg0omkWLGZ1oJkUPD9%*mbiw~#5x<3aip zKleWVIye6P#N>kAWBhS+_d)Vndv84mZ%nm+wnnDC){OFzHSZWk<(TR|2EmDMgKyS+ z&S76&ycA#!^Y6XYVCzyp0p85titwTF_klZ_iOnyriJ3v29E02+1Bl@=N6JI9lvvig|scSNX z-!pBW3!^?e&(bG#t=`*tV)54kAeEPiXEPX~cf7(9LgBd>8oTbl5 zXR1$pN__VyHaC>Nzp{=moW*g=-e<;dOz;s#XW~2ZyL&-nZJ_@NHvaMOjM$oRZTQx+ zC4Cc*hG$C(&#-r24bOTC&#-@gAD-bG=K92DJ`kSa7v`S9v!4skkfq!+c<Onj^Fy|B?cjy|;Tdw4dj?HE5S}4txo6Pkz2O-$r)Rl43(5PKyshiNX(bPq?Fu7zE|m>$2ldd-tS%gAaR;oqmH;d-tS%gG1hF<>~_`ekA`X2d?@m zbi&Z}wl~m=jvhxw!kVl?T(ymNla(kZuWqEwp2dldWTJ<;=q$(yc!Yb5C(QTv`pnw= z{ExqJVO(cb^Ez{c6J#;m@1(nca=zXo7w6NxZ=>XA<6BLPZ*u;l<$B_q)i-*X-Y7rK z`NfqGe^7mVK-oR34;wR`ocamMRq&Xvb`51aPfu1-ekR}=T!A~=Xsew_Wf;2Tq>_(JeK^{yh_HE(eB z(@t>qyZ__-4)x^M+JByDEmx5}R(H><_?27-!?oVECL1j}2w&JM%Y_h*M)_S)Zp+?iZ30c@51*tD zJx?AYH{RE6^wZ0`6v0WLZNM>Y&xYe#$Q=tfrVoqZoDIjmo_OwDaa;{C1@(Ov90&Yb zZU}pLh9~y#l*gmIO-;G~|FTo`l3H&;|xqCW(E#l~J#kWV;y8&O(GrQ}f z+5|tM)33^tmEdo}Dw(JnM6&wrQGE3H;%HWSv1#zw*P? zr~GoA-|Q`UxQII+&F;IvJ~F@T9(C*}3}|QYvQEUNHRpvO6NV3LiFgPaf=7$d z4@B|Lad<$sF+3X#cw=p(XVE(JmMU>ri;vQ;&iZmURd&8`*vFv6+lq~f=0#r8du5F$ zsH0~tZ$I*j<29Xd!J2A1T!gr`=4Zb}m%ulH7l_?e!uu8iKDxk%a$r0@27_JGoV)V) z2r)PO6y%b)Fzq%*^B(j(Io<`I^w1}CR!&1)pRp#&Ji8`p7vqcEl=)VlzFA8PHmm=_ z7WFwh;dAqI^szX(bcN;+(JdE0FVf_5XQK&g6+7zzj>(ZS*eu5H_@*iURRa%se1jWs z?Q~Hsi&eTi`zlTNMDP4jE{kAQK1p^jNjZPdoX!UyU(EYS@T0Y7`>77%1jwbyq4Xkp zAjb0o;f*!!IPxl9wwyKnZij!6vskXIPP^+X+aE^eq&ueaaCD9r9_D>WBV)@s=TAIO z?-%(#vBn=D)BijtnfM_xtoGtrqlI+qR*xTa;$VnJ!2{CI73#{z3U$R_Y8&EFt@=3{ z{Nd$Jj?Mq=@MCr`Cgmp?yBLoe47!83%XkOl%byqBiPr?#5U-!?l8@_RMaZ1#7sa?v zmc9SXo>pitdy|#ZwiSOuH|J*or*uVe&JT+(`lsgbg|kS~(Z2}~^bn7!%;4TQbbK)$ndm#d4s)1UT%v=;j&eF&bs?T*eIMYd1yRLKjk zj9;3{7KAfPy}$;)JA3WrK=efqU7%0xr`_w7i(W01Y24aRcdQ5g3v#vt+05R9;peLL zW4XyV#XdDoaqRp!(YrAUb6W;}OUT>%l*7?V-mw2>8%1v?VNEQ&eu3G(wBM*F@A7&cF%LZ84TTA2?P`mF|kRDChtEbGhF6U>2j)4>|v`J%pcH{)r0 z2WNAh4fNLCiw2MB0B0Y<9L0~^!FjjKw_^{OIzOaOqo3gS_9WCtb}j&~_Wmi0_x2>* zYtI>XV9}k9+`l2&a5fA+%+b6Fj)dbLyCmzTI z{*P?M(0PxXzWKrfleaB8Fxh`zT9q9nRxLQ~{@snhy%CzO^L`Mq!TPJg=LvUD5W4fx z&CFZ-mi1lUU)hCTU&orYz2PTS=lQu(Ug<% zSFq1Gz7QKN-V-huW6ihD>^%eT2_}OJKC8&ThVORaYjV!h@~oAw81pgk~R0IC$qlo`x3HS$|$3Gq6 z-|?CC*=2opeNgn0&I~zq@7Z2E#z(b_TyIp0QpLOp;9{v{v_*oN93;%a6O9ur%G9SbL zLJz;zFUBLlWirb={(ImX=wfBiX>Ta&2j2_N&P)GEytGiVybWG@C9zpA%lRC=)5NAu z-&@pcOGP(}$&S{#82F%bA{$BXHX8H9}{`b(pX580S(> zlQYq@POwenNlY1I(Ay<)Cm3V<)b`k>VQ&Mqj_m`7f=6^Snx*)kR!1=d_3OUQ6Gr*qL0?KIsJC{u#cWov$p(H>vJiS~~wVOAS}ZRLS4D zrFe3}JvxdTs?7eYJ~++#Vjk9)>U_!F)n)Z&a}OIZN)FkZZoFeRFDn+uMOIGP-ZFQ$ z*}k0iCAI$x4{3i)zKdd6S^iQly3x(q&U;inUY#un`AxI~2ZBv~Sw9|DjiEcjm$oi_K;tQ}gs~YXYu8?YP5-su zr8%o#aGl{m?e!nrD0YJUfje@isCymnY1Dl;S9yLIIpwbJhlh`! zNYZcO<1=@|UEnXl8}pas;MX;dbOkb|7-*oc;_1m;C*O8Hyeyc>m4Zj)58l9eI+OKs zpOv@47d;nph7!D5+XV?eEzi`?B7SQhT>X2#vvT+@jLltWcCP<8ZA$0=-ct2-C1Xr! z1AlAoQ(%P`#fSO$T$B&m?_)=07)x3O-*-c)Iq zTQjW%=C#;Ma!E}0Yy$4B_$>D|e3qYa&Qkm9*?I#XdwezXSm1TjWAJV8O(<8M%J?>X zlM5PtVSPE{Ea%wT0`&w*2nh(C}?^UtJqKI{LC?B)juh`bqUl z)QfPL2$zzjhZ|>-L;wGm??e2rwt-&~n_~K`$o4~vISfURf`B;k| z#m9m^8LV3GXkD=_8To+L6QNvr0Qne;ZfX`(l|nR{>gKxZZhf*{CfkRb?ys2~Uv z1VIqQ2!fypf}#k5;P+m8t#j|mZD&67`hEZUeqZ;r=j{F7k87{J*V^msv+vGGPuw)K<9k@a!v%+8TjuP(^?Jo+wtCO z{dXpLpZ1sw_&3sgrYQ98j%5Cw;~3%v>|OK)Y@pznm$O5)tQ{xw{BhVX1^s1SgQ$`< z2+~D*u0Iar9A~9qT=99~#rSq|6w0P=PP%;51sjyotJAO^Liy-j_9*0|bH<}MAB`dG zJ$U%b<9^$<*M@NlT?4y^>&G1NIqKQ+m+{xnE?pZ%_4)ZdYx zeJt1aZ_Awd|D(*ACiy};w0xmm^zL}THcm6OQEUlK&q<`C(8frU9)t}~b|%))Mzyue zkSVm4-e+fH{s_ppi3YOIXx&fuIp!Jge@o^k^qXCby@UUKncDU_*ifwzj zQ`3tvtL=^*cK&8b7-K-jC4M`BwTeGWoCW#u8-pGzVyUk@F~V-I8Q{X;4q#&7=l zx57uLAE_PYztbLzb(5G#%vIK7Uf2GyCjUf}f0D_6n8`ogrMVYnEZb-`8S#Tg(m-5CV#2P?=|_in*3**{C_q1 z&olWiH2E(v`7by5uQK_sG5N1E`EM}!Z#MaFGx_f{`FETA_nG_;n*5KL{EwOZPn!JC zu>a;+KkckN_>*P#Oevr1-;uJ+GwJ+}=WqIDIZma)b!LKg zR7S%2UC))o<_&T9ljb7$^RCp>fQ@}r8+NNPL$hE?J|E9I?#t6VQWnt0h44>bJn zOv^IHFD71-bgBE3a}G(U?{u_y2PY+H`j1FRxahDqU-}{YyT>cPov7A6JSl6+F4;CM}JoTRT z>%Mv8Y|TH_ktO|+xjdozf$h`oIkZ#U*pDZ)nX@4j<^}RK(EnoQY?wJGUU%vc!P554J z$D#=dJU$zje}mB)v*DxV|MKKTy>!IAJYI)yN;q3xI`Y%8pDq`EKX%jHPqK2?eP{GT z$M4Ha^Zmu1QkCWMxx8CF#a@-;EZw4#)~n3oGMCCMFDX-*SwPviSFBen5tD;^RVFap ze7DEvDsXIa=DUWv)`? z1OZ!J+V9v@?svGh=et}5K1YdjdvQs5iKEc%*%piqso+0GmU&%1U%A(%3X9$D;?m6u zg!p%m#{=RhEBRCBo}rR)C(T{0Qk`eJO6Q(I$(KDD{5M3rnVP-*mV&Mll@pwj32R62rJrvsEMnqNc@?enRmmDyn2YPEV* zvPz>z;>u)|o|%msf$7OAX>}@Yau20FLa#p8hq^({DA`&-fH!Cqihi*Xjg-L5xXR4KHE7z!WdSt9oXQpJUmFv>e z)&JzA<)o+lQT@;F*JUK-q^-%whCeGMJ0)xVnzSqeIf)sklbe~AnWEiwt24=6pP0U0 z2Y~pTtTpKrmbETj2PLPhPRvNAknA<5smL@2=h||oyV$=&rMpTu`-@aEMxM*>@~V|I?$^8Ao_va>JPq?ym|8|I^!o7Q%5t~g=kR+RkV4n~6zD9$YPX?vUdNxAC;QhNtkzXp0KJ21 ziJ&vQ#hPeOxgX@CQYak%{&i7OTxzU3BQYxjeZSO^y~79n6l|^24J}n(y2P4kiiBNX)=pzg8C z>sMpZ{){!rDbRTtr-L188^Xq_v8SFobMB%AzA+Gng~2C6R9dnYb(QJ#V+@z7u@D#| zC0eJ(oQhKR%TGB&5@LYPq@pQmzx3u>_xBt1ftu1{f4Xa{%dJ)ymx{-^JrJ_q<5swn z%DtF-*T{4jLWpi7DF5GFb%J7cn5kt-0`zc#kmq8s7#+4iKNqSj8vdo2vx#JnH{DQo zS<4EY2@> zl|o(u^l}DMd$|tEknVDBaU^nl(7y|7Na^+QjX+xS;7c|0I-B2 zQqN4zN?ex?!nDnslaeVBVn~~UB_b<@jO0<_T$Dt>?nbm+x(MzZ_%|F5jknuFv^XZjU4MT(sHs*f#hYX@OqNHF3VuLPNE}7wPVg0m5Cz^ zUS&JhWlO%$h-|z`1&dmjfq|Zgm$GCXrXSfkYcj$314Yp*P+G=1hTO_J8-%BZ4$#r#?t62kw=E<>UHTkX_@J1q#H=$^thKdGDpgWOuUn3 z=)O1N=%t8WKpl`F%$}MJnq}+LvXjh|9@>G8oluL?p2?F$ph-iAmqVqnV|{^pXpVJUy;;h+cjf6@qn?4Rez`9&Z7R z3U-5&vbK51T-KHrtj)2s{8Unm*EFm+%}-YgREgS>=~N|Hftru^vjwrSu?X3w3jM0g zSFDOlRbiQgBdDlMl^}?;qSA_vxZ%TVDJ-p})Mr?2!mHhM+)J^Blte2+3Z{rkPCQd3 zu2xu}3cfXJZM4+LuHPDA?)eoB80nX)HJMng(pI&mMUnbZWEU%K ze<+&Em6jz%bEwi{fMrNbzKW(dWPnEFQK@JQVv#I6ThX9X)L+yiSg=axG>RrcMH8MP z^{Hr*q2{Gg30aD!FUp}O1qHECQ1XiOIab3m6_$L`z_t~MNDT!}s+#FZR;x)Y6{$L^ z6-#W{DXUgfJCYRXMwGl(X)U8jvw@SMAoS84i@a{X)(na?Bi8ev$`q+Bm5QutEj_aI zGoX`bkxm2U-6Wh|xG0V~k^0ebs&bWX(3kRT!7%WZ8}_)P#8m<_-r?NpEOyg!g(~%o zULOj^1eSjsJ`dI%ybfB{rS)1@0p$ur`}9kD$f}Jj4XM$=2Q0`~AM!c3VhsVSM6z}R z``=WDue^*b_5!^gffZtUzjnIyijtBQVOo7272()cL<>&lQn)2pvywGu$*KtpFd~q_ z;leT$$%oIVgAd5iNMNQL*0a;$q57NZ-`BL!xN749vjSbuQ| z)_i0sBA6*(zwlEq*20P3wB+OUxE)FB=VMLZp-VAp##9qnHbP8EvELV@idI_6yciN* z{|=$e$VY{Q#sx_L$MRiFz0q_}8Sz<4@q0X2=PAX5LcoC$?A^RWFNX%&0?uNAOxEd$5R~D^XAmJ$ z`r$ySoDhp5NQaJthV{)YbE9tw=k<-?ML1Ivb3sKlZ$ z=;9t_fzsVTA}4Et)Yp0t$#O2qAW`U}aRwRUZ#Sb-7_G)KvdcRk0t7O#676zx4V0To z(Mw@^R8Uc6l-S|Lu*cdhEys;wpeb!2u9O!0^6~oaqb%F!>QTy7@K{3~dhHowWot35 z*;3a35M_*6W8u08i*n=0>`#ue-TCpRyaYRYkM(Pc}xA!W#!&{ zQhUK5qdN?Cfw~f>KR9NLr6Kei#LY;BaaW4|8&y()UfsuXsH~PypD`U^K|am%#ifXY z2#LUJF@bLNyS9%ihz84k0Wz4BNp$fVk1qudr$g7|FTy&#&kq@N5X-1=tjz}4h9O<- zKR|As*Xi?N?nd7rqtk%}e8^D-wfEoFhCbBf6Z^1YjI0>t&cNU{L=5OzabFk13H=JB-9;Ht)kO)u*@Y|<(k7c zp(8L4%GZMZq60GkhB0aD5bP-MKo*HS43zw$K+9;98#4vup};)#nCqaaj%3#SUBt*2 z8fR{S*{D+6lv6nznNBR8F9@-k4+zx>|Hqd);eaJ`V2UHtk?6>9q&Up)KOq@TIA9T} z#+N3o2hV_rcpdUlEF?eRfr|)yj3V7aD?5%1{_N%3zl48N1SedN$%ZC?nFaG^791dN zAm{{zx2BWjt67>Je#!KOZKZtV!k4yDmp09iJEOd06WZq~bQquBeWTI===VvgD3~@Y zpy5LjA0REQY5C~eSLk(sw8X0aI<5X>6UXc97t|Z z11$3tK=S$9sY5Sb?$cgz!2E&EFFQa|TFcx≪MWBxnAP17^T$9Cb*5XconE zvWP;`qk(woGm58gxQ-EUd~1qSN;~qN-s=G*fgVQ3b1gsY>>$D7CSMi z>palIW-bQOCOb>YXntlQa*CjSiahR7iJ5ZU&XAJLB^v%f$%do`M9@ePbTO5{Xd?#x zH;HHB9p=AG$`jQ}e52H}mBID@rk2FbOwnj{L!-u#9Wrc)F&HuQ`b>m{riu$hV%pA^UBkQAk?gprQfGkwRa)BcxB@pwrqB@Qmttim_Dh4U5_ z;+r5=A@C9_N}M7kMn+^ZUTLw-Mdy;36zEp!JtAauY4pL6?4JE&n1VIs{vZibS~j-E z95@e^;>e;QF0}+``(N67+F0e7U9uU2V|KZIVw=SASesMjo7HF?u^Q&JLwE@$)0cUS zMh69(T6U64>4c*gsQF~XjB41Z7`+Y1h5a1*qBbMXN?5t0YT=d{rHyVgji!?dO#^^u zA_(woGVzN`%UuN|2lGo7srjq1ETK~PMS7hNd=1Ds)vrU~CT`u#yNyoYHn+%2F{Us_ zCVlqRSCYr)*BcEP@;)X<3awgkehg2!PTv;l)B948fRqWgJ!zwQsa|hO$>OhsYIKwt zX(@srdVNdP%mpX$ZUluzS9nRN6bdHA5-j-NBXe1lN{t;qRt$6!d0aCW$Ie?Ei-lZ- zV;Hd1@~|MCiFE|yRbnZImg&+Hykq7<^sm>L9cYAysHstTKso;Vc$=6c)az?nYaA#k z-k9@?puuR%59MWzz*KT+hR%SFlK@^jlBVpJh?b!6s{fx8>4g%oBd{aOFg{pi%XU!E zMH)}{)jVU=@%N6eP(tJHr}45;+LuT)6_C})H0Qpjg4YCik955a-Wli4+s20$ZrV?V;A64 ziD|)?R!RyzZnTEP-VHO4Oofm<3zyP{y8YLG|EtW4mYSA8^}zaXs>COR;KC`$+VWr3 zb@EaSi~UxUomfx)Z?Z20Z%nJE!3EO;Fer=$tthI(sa2HUPSw z!l>8bP`_uU~lw5LMpZORH;B~2n}WXG;WjMC|+ z8XsX6o}@p*7?LdAzX)Bat22@H8wP9zh*_Q=Bqcf9&R4cfSt zJ>!+tK2cd56P4;YLPbu&VP@S&DO=xE6`4B?E>3XXcZ{;e9;+;w$0~c{bQL{*ma=T0 zrBr;ZvNXji)qAS4Y=~F(ws@sBBq&Q!f>KQ@lx1**imF+qES;;AD*L^%kKjk>8~&v1 zMS1uE*|})`c}g{0q9S%yE9>mb@!OcIm9-3~Ty@=~>^pB(s`Ykdt-+5(aZ0Df|FBYf zyOd?;bND;eFRF;CufTm>+3asB)%TvV*S@c;jUT9pp%0Z>^0~6_`5bxoDtp-%%G&;= zQX9WlWAJMu)%laM7K|v{o?n&9`AtPlwpdivSc^S+oWxt1J`Kvn&zg*IDdU>ny7Be=OG4T#Fj-vRL9=7PY}^iHP=FRC>83 zB6qt*xzDj!6LwnEoXagylWQ!h^$yGUn%x$)_kPQm_6IF0bH|T9tdJHL`Z6RpoYC?USFes-CZ`*2aBS)&8|L zs(Q$({NG#04*h6VO|_h0vkaeLQ|%|)EZryD)SN_{ zt!RZ!^{ug4GuPTw)tNTC;}3}6Xp3mhw?*&SY_nAq+tiXWnO;-I^U*ZFSJ<_E=1i`Hp}>nZ7S{(TlC1KHd}4AO-0w* ztj&M7sg4F)MC{Er<+#;miM`bpvEeqGeS8x}@&l;n0b5kZgSN5$f7(>tv$lw?F1X#c zaUCz&l)u*&mHfI*4ZLNGPUyF(g!gUMq4#ak@dGwh^qI}J{KjT$`vvt{?6$Zu zcGWiq3^>wm-+rWBwL0wf_+#xVcDmhGb-Z15&$rvgFR@z(m)N6Qm)ccPygjlx-mbPM z*)4TRIQ-}Lc1z>$?W!xoZri)oZb`r&?QK|Zx7M9uw^wX{2p8JN+0U|DW}Jnx&ay`} zl-Mn8C3fq+Qv3MYa=T?uxjkac~B+VJxE;WFOBhc z?zKBfT>L$AjVFtXb9Oa8OkA8-tTE1W(Jsyh&@NPzc8?O5bSTw3P28i!Jw{xIxW|e+ zUEJS^J44)=;zG6Iim5nG+}YydZ+zp5sW?I06UD_DAh=>G=88K{-1*`{MdFI7z;Efb z`}{$~=@_+m5xeo?uF$Sd6n=y`5avLb17Qw?IS}SRm;+%BggFrAK$rtz4um-n=0KPO zVGe{j5avLb17Qw?IS}SRm;+%BggFrAK$rtz4um-n=0KPOVGe{j5avLb17Qw?IS}SR zm;+%BggFrAK$rtz4um-n=0KPOVGe{j5avLb17Qw?IS}SRm;+%BggFrAK$rtz4*WmJ zf#GrdJ9Eo;cE^buBkm#MP7!ySxW|e+Q{3aloh$AFaZeKW6mfIK^@zJw+;hY|PuvD^ z9~JjqaX%LKD{+4o_cw8E6Sy5w;vOdMOmP>9d$PEvio0CgWO08lZicv7;+`RHuDDKd z3&lN4+){D9;%*c79C809?)lhqxas1aDXvr8VsZa0?%CpAAns-2?h^MVaht_`NZbx_pBML4ao-bnP~0JL ze-SrQ&T*J1?i6uniMv4DrQ)WDn=bBp?FQSOE8&IWmWb;W_Z)H07xxlzuNJpX+?&KT z(%&h#Mcg)VpAgqLkK(^`gY*twK;y!p=ti`$}9T@!tt>zZvh7tc*^}{?Dgh5gN6IOriy)jZ|UgB(m<@! z?4#w|R^GNbdG*R(T~t4D%4!RRZq81&>`N zXmgooo618iOtaTj;@OJ4UKes)H7(L*vv@ zOVqKasN)jV+!bn3k~+n%>Ml48MfT|AUHVy5d6-hR6=|!~rtH;;>FKJ-Q|kA6+&SC* zs?@I9&Zi9B=S5JqJrG7KN2{wXlFza56ySQ|VddO1hDR8MrEoDx>-{mb;Pg%U>ZkKuvWsSUOLC(5I>Dl`nJ!`MG zSX0&c*0t(ltFpSBUazankhtwbBCzITQ&Zlx>ZS}JcK9J`MCTinX7Cw$w!B15*>^1pw+gwJ+oZf&n_abE z!;SpRDvcbm>PDVt(~YdMm8t7&x_P^iy5e0bt@{aG%e~aRhRcby?H5E?T&2!UZdZZ& z66r?nrWEb>p;miIiL2DF25q`q)R4^snXI&zBkU5pT@8FjC5{YGdkWNUduf4dyJ|&5 z?N=1hzE4;9Ej^omw%d!rMo;dFu&atYsYPwC635&=mlIO%DODX2 zUa!ZioE+Nbl68!dhgTF_bBo4NL}L7h-iI{B3eJCXXQ^8l=W_;vK6Zr zxQsq2V*p9_JWlk`ApJ73yo5W}r_PT;Z`LU^hKmc12jzl2uc*F^G0YLsop{Za;U}&Cw)at;pNmM|taSqgTJv0g%#we?g zy7;;=evFOV#;6$QR+rbg86|4@=H~a?HaUGR5t0vV`D)lM;2#k#)g4jj_G~LJErzOp zKcWaaJ)g!RQ~ybX7O9&fOV!0uo-#e2{t;EC2BZF5?sTiGqP^<5XiQuFVxPY_U%eac zS5;#`f@&Ru<~>A2H$6?ysyj)SygYWTdTlHk@-#K1^Pd#6?^$9(s`?6X-yyE=0Sc{u zO6LNDz_+y-^!IJ+8ZqVR^7D5q9QcZ|c#A*$ydBxrqv66|?KC;JDI zp@8R6K+iZsBfUNj-J~8ES6-_6k)iG}O4{}~Jx5?{P==q!740Y}EJmlCJHEKIO#3bx z521L9M56*K0@PkX-C2KWP>I}+6tyiFpEgz>caLZF@$h(3AI~ASc`vno@7MIK`<|Z7 zzuIlZ1?rRWdZ2wVp8M_F@uV7F9g|alv)`i7zTHGrPdC-y+-cN9B?s_a1GIut?%2MqJsBfVP2kyqKVKs#H-Gg8Qcwm$4Py+`cSP!Nb4bgpnIMNwnNFN%f`c0`ys~ThQDqSX8N`2W+Z56BK|Zzq4|c6Q4^d61?pu>zIqhX zwA%&auhq60S)UqH43(qa9_#iv3uN4C3Hx+xsS6g+&ttVcxoezP?HlJ)O_RuI^Lr@H zwUwsjrzWAh4FP>_k~S>SbeDP=WORN_oi+3^^|hEy&mW@YsOJ#a7d;fa=QVn^JxkA) zJ@l;mjxCDU50M@iJVZ0|%R{t9F?5I_Uq2n9?TU)Ym?t0CrTmkgwU5!W{ox33?2*Z9 zRmWs>b--+DolIuaGsrWHbeN%4@8qDtG>GtqZzzAmCnl;Z4%Jj&cqnLmg<_jur{|ES zx?fY>DO6VA4FLgF2%AQ;M$q zjGkSeN5GtT=`fn8-#$!_%J&art@6oXr1%;S(@p;Zxd(L9t6!#kgT3@@#?!Egu05P> zq8ks_YVg*>jRxO!IQn#ilD9meIUcZydJoq&(OXE+-l?g1kDj$}&~p!1Ocu` za}?40JUxe>qq4r4LYB*WT*h80V;D&r&_Qeyop(ggCfaobn)MWAZ-1YjRd`Yz4;`VY zeiYG-A5cUeo>cNvM-Z!fj$q6km&`2Q+Q}5u#uBp(?hCzDLTDrzvH}GgO7P ziLN`6n|dT9=t+v}|DK-JztVHxciJXuKhjXMPaX+D2--vs9!Uze3wa07FUb27J!^Fx zdmp4a4AuJUk)&EHk22dt!$%gYOO8TaI&bYel(*}h2(gJ;kyhJ8yN@E9=#iriY!mG} z)TDL4KQv!eA1=~!@8K@B=kTDi{qFD(W&88tTD%^dQmX!Ogs9hhk0?_kM`)Yqwj;gj zog;%b(Kko>RsB(96Lo>;)<=lkfp&UUJV1)#!>Mc4r&GaPC@VBdE0Xp{i3xc3nud3; zX&A&hSC`J!00v>;JP-j30jl^67v&5}WAJX+fLlDJ0mV3#pN!-$mAe zY3LU9+%(ugpCQ4>!@6WmK@I$51N}D5P_Y*rZP-AU9*vRrDy40JN9?uO6*c z!7s>Ir*(Iu*4_I+1gg+BP~$OL`0qT%5dM~9plN;~`UbUxk7x<+?xv6~Eyzu8lD|cZ z_VC*%ifo`yk6~H<>KIMOcgHXtKclo7Ewa@p0YXrqZgg-do86;}!r|8BX>A6Qg>-E5I9yV;Cj~rqHeJR(9e?Xx_kVzER zp=<7l2--l89E&mWIK;xRfjSV-q2;p|Y(dY#s`lv*+8!x6BNrgjtLRVca90zKp!5XCG=c}o&fK1h>$+wC{x!Q z8?b>|kM*hxrjN3L{yyEWo}R94pf5n~9tZ)Z8i*YUW6g}U>Y5oCP9#Cv2Dyzap@%g7WoYsS5f^`|BXlirMyZ}R zkgGy3kL}YWI5$)1&$CSQoqHUJ5c)1UPUyP~>%BuT67mXMg-*QhXUf{t4YNZ68fWtg>YcOE&v~@8nManc?u8Z5d@?qtMiYi!3a^g_;?J*m$B%M>355|;&{(Cmv<9P%VNwcHzKb0*RjY~ zb=4$1JNshr9PUBtC=sI{X1hvV-pxDIFSFh1*5gSoQ2IZQ*9PGe$NOBH)w9Q!m!Thx zLSICowO1U3f*LPB2-Zo>39t*VqDtB?q0sJ&DfBjk);~&>jyyd{sR+GvpsqPVzlt=R zVCdrJ6R0Aedhi54UXj?}euB1$jz6p1=T}dnoX&q}HnbBPDt4hXn=a+o6H1(ZZ}E0j zc_L@LucI7mo=aPM-BQ56DAC&# zUH5)WF#7WoG2s*ljUsIHuY8B*<<<90c> zVC6;qV-6PV^_$Esb2LqN%u&|-EqcxQ(m8koxCa<-1?q>(4?E^`AhWr2wv3Yfx_1*RgEsV{tYU)wA}5+f^&&_X&xp`%!|GA z(EH_O?qYnkfGIey*r(n?&hD2r$=_2REJA5|&ztY_drI`k(ygtUuOf?Fc&YC@(XBq4 z<56$V)oaaa_dG20=c%vem8;9=WAb}b^R<8fhP^a@RKt2HF(d~AMZGm&i^R_e>g*$0 zx^_{I)V>mB^vLD0H1XiOiBHwW`qXu?&=mAqdv2^=X>W*yLG%;}s!O%SmY0Df)rGL$ zuc@^9T9jke&FT-9^8w;}s<6DO_BD>Dc$(%mIo;0Ee3u%DCBbD*EP#k#57l5RDW>&3 zH5gl}sup;?CBDt75s@RePCy|Yc!GWOb>@i$K6+Vy7I95gB(?)D(D?1SfYQ~Ue~`r( zwVzUo*GRngo=52_FQVt3N{n-3@%_?;G}f+Mi2i*?Yk>3VIdlP%jA6NdXMw1j4;SbO z_^SmF-TWf;+X6iiU$C%D?ON#5`d3Rv(?U`QYWG5n2~gRJqHDT{zPb*2Rz6Q!kcRBV zi}YsYHVN~C!a zE0Oya$^@12&nYR(psxcpalwh^nmDIw zip%%#qU4itdO&r>xzt;67;R3!+8bA-evK;=)AE{=e5~H;Pr@fNSE*0kd{Vh;Jqb-I zDJf8w#Q9a%Ns!l0qJOxHp8ehQta~BSvcI8z)L(~6{ya|#MvH%^*>Finw~{W zL_W*yeT&5+YFk{WUSC{Xie)^%8dzLj1|qQ#hg`$&QLdqLiD%sn(2jO+%THfz^3=Y? z!n1sjtFRCfc``r;DA*5mq{lf9~P z2_{va`uh?Z;y!i#64uK%Ex{PSnw=Y2fW$F_|R}5&4slHg^%VTAE z;VIz2CDitwY7*RrA@c9Nn*7bXAnbN&`pu{4Zf!b+2+J>WmSR5IeM*tjhsq!en_UH} z6=k&#(a7w4gzCY!R=w&vcnWjt%Ts7}(lgm3r{Ej+5YqR)NsS+<&||+y)h)$zEH&P+ z6z#c*2&uS%p0zj9v#)`O;_tQ(EtPJ5bg6XnQ%k)r`q29v^0w5{tlC^b^KfzLW=;OL zOSM|~aVfp~sK%u*m^>bLo_cvHtbpH;Y4A?!wLM)#Ro#cwo7LTYJ(*8*iBh@Lkqo_Pl>^mzmdP=8}irwOk-A8 zaK*ARl!>9eOosL{jLY|lz^ad^N9ud@Ko$GVr19#uCj zD^PEufSL>GO`%UKxqdP)teofEz5Hw! z&qb}v!Dc@-RSRj;a(sV90rhWVq(wT_zGeEW1GnJkWqN19Wy|T+SJQa&a-Zs14w3O; zq(Y28MAn*XNe?$ZNY92V0v6g039y><1e_2s)9y^b@O+7gtm-rd=8Fk>5WJc|_JV3j zC{=GJ&;WOdBwf7Br9NF=t_G2}`NA>CTl)ktviD1R?tPq|O>M%|>k~;AP@=ZmD5B;S z2war2e7mOp;zXH}u1G8_E_J$T2T8eK{XLNwe^a8djY6Q<5SFPZsoVpdD;3Dep{-3C!UEh;-aQX4sbF+GI1uK)l8QEf?nb$&AVbR~&L!wsZMd#|Qv zR|P#Aeg!8Ybm_a3H+!80uxygu_-NtwsYj9nW27T_tH)iAS^622)uiR8qf={~Pl=N{ ze?^KGp$k(m?(W3EwUfEjos2Ct%#5FsX&X;6}rW#hVaJ3_{Y7ddr^$0O+=tB~nd~LzMxl%Xty_GTveY6s@0D@fV z$(7*v=g8WH549LLZgs&b{U)q4)ULvi*P5~OHF{5LZKmg78$DaTqi4X zrk-9!Rj3zMZF6GV%PXrepwKa1_4q1?#2YBCww5w9f4~zF%oIaoNvT#kRSG}0( zQy-=3_sx-1+NO418VG+GqkDFuTD}6GL#Z5E_sC6B{$y=guckFr3cAdalA+$5u~Jpe zO2@#UpsQ!CF5XU_YiDI38ToFUwMN}LD-+YWZ=JD(^z^K?>YZ6x>fz(E)jP-K5W6Yq z$Z_kP>hjrn>cQDg)pFvd@?v*Ez*2wa#C&z<`~vk-tV`Xwpim7j+U!!dE-q5dCl{;g zQvwTm^{1erOH0&MrhW;?GOzkJ0Ru7FuWn8$S3@aV)pe_Q zuUS>vcD#dOH=KH#Hg_q7?Mk)SQ&??nw&e`k_S$MK751D~>@bXvZ?sO$t+e)8Yp~C- z!qR|UhC@i#W~s3ZSo{N)88dR{%&4+fTMHZ`_9-1!N3V4-(%pH8yZNw6%f^PNm=1eF z)0ntMYn83q(iq)0vDVT(vBo+yZrIXgX-7Gg3*0TXK}*&6I%}t8XNz^nI%FHN?X^@| zhp4%NS55V|SvsbbIR>qb5d)S%YnQd(+GK6CcG^blJ+|J6 zE`&8%YOOWa9&59`*3xU|kQU1xOSiQ)qQcf--)G$uQE6+l3|dC){tjCg_CU5+yDju@ z*s@pO6&8x#u%X+Mlb#-rD{jt=sZ*!UnKK8scHzN43Yjw_E+;-dXUUv7adF9U$?x6g;o403D6)v^CpmtsN27k+qQ>_Ued1TZ3)L-eQd#9@}bd zitZm%5m9Ryu=bD1t+7>FI&DqXo`|Y3t@cJ+Q&h9Hdh8y1jkUtoHl{7QCZaJ4oo3r( z>xyWJXpNYH|5Z`wQFMEytueBDM@*w-D6-1l7Sn9+pV&KTD0;()wboK+8@BC<=(jYF z8HwmezxjL6g08574Ly;wTPBQH1}1ck>p!R|VxPU*I%27gsF+Y0)oty!RYf%)+GXzm z14hR7PVO65Vd*`j<=|#ZL9e9_L=M_2qN?pRwhmjJy^;8Uf3ZtOtTdkY9o!k!WT}X% ziuQNg8X{sUCOc+VMs!S$=|c_sBARXc?CsW$NiEUC)&?7fLe!AO@2%-{kwC{^( zjc%~DP3RjF8%xF3Kx`T9U~@qWYs6ZNv6z6kBhF zYu#tv7ZKBBZH0{Owe&?+*n92$)^-fNm=;^>nCj@ku`LlT)}E*)dqZ@st;g0d217fl z543k-Ah+83tkn@c5qrnh9##qFRe-NGk&Tf5O!=Sh~l@)I~uWBXjmd4_o~HE_+2pwXMZA0_oTjxp5%M(PZh3 zn9^o#oDesq8eIr-?d`U1dtX$ytv7N{RC~mTwSGc}r4@2tOL7fytFict3TDLDS*8@^ zY>2J5Bo{21osf_oKO1T#vI3b0Y+aDNdP|GF3Oi=_n(I(%B6dXdU4jR$#e)6SjF$_Z zQ_DD2aMKNp*9xw|?nSzC1t-&XC0v^Y*FDVm&w}@0FBDzp2=2kQE4nTaytAG06@pu_ z6^gFw1=D5@x^5TThJDy{Jt%l8c3IKYDY%O^bm8g|T;Ij`9l`yyEdKMj< z6ujhjj7yFDGa3I?u={w%R|wvCBI5?Z>2n$H7CdJ@<95M~ag3i8Ty`?!e+lk9jd8!= z{$-5uu}+UCM*`z-1ve!!{!Q?lI~b3f>XtVtlCJ*hd&U1dnfLe7xYUF2;)lH@wU^ zL2z3PcB0|R5L`E#ajszZLdL~{=fpGKDOjDxxK{8K?7^q&KEZqo67hN!JVra ze=fKvgYmC|XJbDs+bS2E5PTyX*8Ji!Hf z7<-KP0mgq5yc7Ft>8cT2{Wary!Gqs1zD;n#&y4RCyzf`W?SkDFY$?O_jNqx*#Y|U^ z;GQVPZwaRDj&uzOPCl6Nmx70|LyE3p17iycUC}d`e^arIfv&>@$K%sDUB?OTaWGyg zI00YR=*keBiFJOu{vfy$>w9!<7F>%JC%Vc7*PYJzJi)nzj4u@&Q^L4T@IX1^+XT+ zV?0yvjN2J6GVZi#wCKM-pBZ_f-4?mTrGI^LyUI`p8N>o zM#1U-WZWV+{z=A<2~K^A@pFQEIvKwvcup7N4+RfC$M_q;aovp7ERn|^#^VI{y~22k z;5n}`o?)balkp}fXizGf%;!hErDmYQn$4L6sg4@pJ{C^~DQ7SzV4_t1+ne<~ZTss6; zzNMkMNbtzVjIS2F^LoZN3U(aJ`F9KMNM-zp;E_U3|GeN@A`DkAZlb5|Pa3NC1osv& z{!DO>;f@2oJgKMtf;kP+{nc&X57_SywbPMBL!Li4|gR4~V zKB=!laQx{Ue}!N*pYff7yZ7kqip(&guX6+A7X-JjfCm?uITY_$#TY+<(|F`{PXCMG z_%j)g#Q>%B&8KmCGJ^;goWyvR;GGK@9sseR z(|Ab+$K!Lo#=S=~#_GPt$$#haRtxUFhVdT-Hm!?swuZ#o%7fpkN3(jEt z55eiAC~(oVMDbIzIle=1XEn!@ny2{OGZ?=sxK8^23&CASa{iwM4;;aGBGeS+k6y?5 z4;S43Ka7tR+_Z`DiGl~FbN=OmJ4w;uN)x;EBa!i;3=nayjO6}n@rCI zf(Jfiyi0J;M~s^V4~u?yOz`B3Ii7Yy5kLA4Dq7Nnu z?%&7pGXz&fa(O2S-hMyFCkb{xz&J;6ub1&A!5e3C{yz)u7I{8T@IIPoa9txf;c&*c z39eeh_yNIfnT($kT)CFIN?F z48a5I8E+9BC-V6>!9${-=#v=LH#vvX-y}Hs3a;-y!7(zwJuWzQDyM%@@OGM*alIqB zLF8{xa8(wU_pRVm7vo<9J8BspJcj9M+Q`@;*e~s!C%AJv*B5WZ`xvJRE-GTYPVk2=OD?T()`2)hQ$%3neo>_v6r2kJAJV)^9f~WkI>B$w`vXOC-;P_39w+rs_ zFuqK1t@O`zf;S4jQ?T33>G3s9(>o&Z&j}uo_%{V7lyG|bRI2;8fHA)GYdl+U)Og07 zf)5isEO?gS92e(5S+GO;J5_LtljGM3ZkO@o5?m#CyWklzel8ZgL2$j`nsd0kI|bJY zzaADmBK+(UoFL=*4Z%x0cC_D(PPr?2z`nCpcI1&!>Vr1P=?|DCMb%Oka(Z7cF>1 zlf?H&KB?xv%e1?%<^hvJZ0_opB3(gez{fpqZZOp%m4J`U#m*5`3 zw+r4W`hoTb5WlC0exTingd0Wv-xj=2=>1A?R&khbisa+-vxsEWqd6Y94GRWEqJ5g zGQkNVzvl_=75@KSaI~av5?m+zct~)U(9>mL;SYAzYxA z_6y!1>pwdMD~Z3rNKY>=xGoc1BzTwL2C45h!gxn5ll7&$1=oz@{0~d|9!dYC;0me# zCBgfo{`Um;3I1Ggk*vRApNDRLi{$^+$S>uO!2%ocr%3Wo5*#b(rwZkPqNUoqYyc;{_k3a+h!W4`C{ey-pdIFpF3Y9sy* zPJg}NJ-2iEX2Cg+bNYt_M_zGNs%jx zKBws&k@0Y?;G#y(-za#>5a)kLaAptZe@gJ2^O=9$g13(oehTi#p;&Z%Ah^AguNfaBIPM`%e}dqmA+B$s;BK5sLe~nx={IwGas+R0 zWLzk??pDTI1?S$z_+r5h(f`*9?w9iJ65MnPr+-xN@I8!Q6g(vJ%d3LZab_M}?+Bi9 zH`D*A;6c%U-w3YU!{yNde>C3Q7jycFf~#;+6kSsUCtt+n&k)>M#r&HuxPCU{Qv_Gi zhXP#5f?KX;yhd=1jGr?Et8X~JQ}A{=a0=HJ!I>+Wp0foze&YCx1n*7b`0E5WpU(Im z!SPEu{XYdKzr*!CEx5OtQ( zu)U7sD+EuK`S3Eq&Hv!|>jdw-kn!z;_w_NpSMU_sAM&W+88|kKuIB|e-o^Fz39iR^ zjdXn=c;}DIkFN!1ihTYmxM_srCmhNAt)LG{xDFRQ@-yRO4J`6IS8(NT9KS?x!jDXU zvf$cZ7-tIZ5&Q3d1Xtb1`CWo17jXJg!BdMEpCdTN#`f{Wg8QUB*9gv)`T91&dk^RQ z_ZjI&m|sr_j=6*JOM;g?&*|S5TtAojGbp&Gn(;S+XI#(tSHTTY+@A4AF+Vqc!sSmE z9Q^^8KTYtQBu;;V;M$EGzgTe2HpZ(2&(39>DR^%l<39?{T*>8~C3s0T$8Qr{Bm6vH zaGCVS<${&iL)Qwf{}<=KRj`9j(!zDG;2xP@9uu7Vi||u$>d%bd5#0I>=l@)=L-f)2 zf*YnYKP^+4f0^HLdnO3>%lqmvg16I$Ok5`luESAXbe$wP4##-WwM_6n*`Jjv*l`e- zpDnm|4C6e(*qg5Nml)}P$_ZVv&_$Rf@d7c?Yl*Ad@HBFTX3JW zuS4)o*`M-?;MgBH|NDYlzGM8Y;Akt$hkY9JuTSjjLj*U@d}Px&$v=>Q7+>v1-G2d_y)l>s~I;7t}bQ#h~UY; zXZ*C_ISUx~2u?ne@dtu?W&hJxf|uYoqI8W2?iYJ13L8dfzOF0b_$h+>H#0t7uv*Ue zWWi16FkT^egXr&c!ELuQf7bz{cpf~czc2**L-2Va_^J?mQwY941V0mkUkSnQh2Sqj z@JI+Acg$$|4-UbHhu~vE@T?F#F9a_R!OKE$N(fF5!Py}=Hw5R0;Il$-SqR<{f-6FB zRS3Q!1n&yLH-_NG5ZoMsTSIVr2!1*QKOcf$4Z&}R;15Ia=OOsp5Ihos?T*poVL}K# zGz3oz!M_W^^crvvZX7$U=oN#^f(LNpoL-!Vi+xDAAI44FZ~uv#w%tC8`!U?K#6xEL z6S$wm{SQgAlpN}6F8wW2l)+cuB82D0kS^607wd@TZDX5c=I)<4-_(#}gf+ZwC zGh-9k91x(KVSspsX8I*Wek2&IG|;HcEdv7 zAe7Dm3IIBx&;Ws!qB8x9#o}N>isJ)G&8g|+JTum3gP8;H%W@nSBq7YYQKfJYA5}Ig zl|BV%REU|AAkcLFl_cX|%nG32^6{@ZB_QNjED5E~3${`teN3P!ntwxU3NSa4a*S$Y zAOHu%bGK3cU=X1V&1PP~tl^Ox&dL_)%gAy{Ta^u_! zqh$Q9)l4k?(omm!DDi~N@%SZV;KXN1Vjk?|PfIo!MJQyj(yt}?2xZCb4<4Rogy5&X zd{A^CfR0=fKtENdlc0l;PK_Fc_{?Yu(g%$h9@Zcf#0n(z_%TXH2as_(@^Lyo?jMol z;YjiYBRA;kwD@@UX&dLq3gh{2}$h2laLzoR5kOu@Xg94%y2niS^fe=GK1p-X` zLfB~SL;?DEJ#PCbMTNNi^%MfBZvqX|z|=0n)LmLjNn%sGDB9et05;N7-az3Rmxy#ue#cgpHO_1dNhP;Qi$ifoAgoP)nw^9t4nh zXvq+4B0M05LI5QVv@#%85*ZXC6f~M}L4mBH;zAirHUmL9vW^=bYB2;81Pz8@n3>aN za{(!WgDL-xan zylgq|H!nMI-fv#EoJo@xIGrYMJ-@fF#~*al;+hwFn(qMu%C;J0pHVOuk zQdI#!gU|?|19qhx^2#}ydHQfaBaNKCn>YG&AN*}Q9MdWXd@+y=+7=8%m{+)91Ik&s zSoy;G79WMgemcF3eaN9tC}d^eIqL> z`5p`kI)D`6fkSii_&h@MX);^9JXpC*_S3we54S~;bf7Jm1PbXC+dTZSEIMY8 zQwsaTH;Y}&@35Pm?>9kpmX=HN-Fcn9P=|5ixiQtoCHDZ$K&l(0eK!C{j|Ju9muo~b0 zf2190(Nd8_rGX-vsDvb{qbNtaqkY=irIHp}C>oN{kQVLZ6wy)?rBqTBIf)cL((k^X zamx3f@9(-k|NX9C*Cp?JKKFXB`+0i3;n6^4D$K!I0n*sPh9th*4t5AsDijkqAS)s= z;0ZysHz>idy2l!^N5rF%2LVE}L>EbA|T zRuUXIZmR$qnt&2SMuWxX4Q7UGen2uL971DG6`&bFpr9$j z%HTf)T9lCnwj2l+2b0J?A-JMw3c+P0c>*j~s2*S)!~{f_25{EjSfC&}EbIv{#lSyd z%vdlsz~*r8&_YO|c%Dcm2I+~=3kwV@VZffiIK+WEk&v@kFAQ75ivin7^2T8}NvPa| z`;KEeVp(t>F$sk5Cp@#ztpxMK(-^NT&cWZoF{(ffv(N%Nn4r|h4u#}|ongTHD2acXYNnnCifQNqXK;uxvyiGgyWox+X9nj#UOaV*LIj|B}y zEHIz`kHvx}0d#vXGZN5_Ao{Gc3rYZ{L1BgcKw)8d z4(>RGG8@_k>UyLC;7QD)#*?V=iKn0>!|8<%Kr43&-mkkSPT4b_s&jPFSnVlfByxcs zU;q%T2lXeAP6;GyD_f*n0#Nq8kaI!Tf14%lp1x!l%mG%wZ7Wa-q_BZwtw07k^o8^y z%LlYT%bM*x~L&{Sbmg#NBQ2%*9- zcQ9WOOOxD?TM)PisGo@(C6bpL3GVMgD`;*0M;6`#ZV!X=0-lOAVc5vX6#w{_3$iz#bF^UwUn)mOK0+nI|tO#(I z0AQ10TX5jrV0E+)L}B0t6RK*E4*|d`ASq`uaGBwfke!_o7aE)^*b91ZYD<1Dej;{3lXQ0?iRc)_#PHA1A*j+lb|C9iW?ApaLQom&|>%-?j8^Oy}#|2;QGQOb|0D0i+y5%6QH~0pZ3HeZ)49d;G zKlo!uVBHhChKT@>3;q{B%vInolF=V$vNif@bBltlKS&T{E95?E(0YfDi>J2I{G872 z)XAJJX%1-?or_mvoBPIA7*bGT=Jt5pp33~Hv(t&`kQvK-U|Hbl$k(;8`Z1es{@e2J z^?NtoYuT$}!)L6Px{cMcY(({?FJ(e@r$Zi9x%T7jC#O7=0s=*P(b^`=zj}Pkg#Bq*3YR8FqM%*Hsd1&l!i7I3+U57` z&@nPP8EUR|!>rNr*CnmzO;I)c22vA+jvUl#NtFT1M?b5NKeal*T62@fr}N2>uCS05 z_0H?5nlr=z&*)6Cf|wwdBXUdsOnk4F6zEgclhPiq-ONXw8svQFKDUDUPLJC0X^+k? zdx@nl=PeW0`F}~c_JLb)oa;0M($(%}S81I-Rc^ zeYoXA&&pQL6GD%A=kMi+-_o3H{va3=bL)P`kYtwsH@nU`iDbp^F_oTK7Zp`=R!8(3 zTu!s{u1idB>JHc^X>?)h>1{hNh^UP;2=(eq7SiqN))vfCvy!TKrm82}1d3?aQ-|>h*UTy5N>j#nB~}h*4K^((%%$+dGRU|RaUO4YD)?lvB;|F z60A=D-IdAVvHE@j%Xrk!6YJgNYqd^xuF(4u{(RV6CA9PVy!Ls$4M{!}N?a;|W>@7V z`eOO2UzzGE>r&_Q6}KOvN!?N3BwR|08kQ+m<9sLfmh+yTOlGBSr|y^P8%8JfJ0{qR zWUn5OpDHpx#cai|yi0(h>fL)|XNj%fpq07Y_`czk28(w~;q zI$b$%y;Nnik#kVc3$+O6+?u(AV>tKZHz3 z;Z3PvQRP#wsm-fS~jXL)Jot9!v&kvG-)m3w_-&X=4q`n*BP!)RZ^RKh@oSmUD~ z#=ZkREfM4KQa)2hX9Bv*yClrAY9ycV60<*E`A2z&VQ^t&La?f2^&xp%p59x1_g9qc zjni+x@%ZbiT9vgb!S}c2U)7j)<%^18yF!k3*S3f-n-AL={OCos^R-qV?=?&MOKqBX zZr(WitF+;XRN(BMRwez-NXtKbteL+;r)G1lbIv;@}4~JL!$c2X2vGa<& zq`TB^HnBaN;iVXAHFa&~O|PGLL)E$CF+PzidD%z%BI5amCAQWTDm@HnPyFy~M_Izp zdr8x$Y2#g+emqDaL6G{umP4@8&q+QOwcwUCnEnH2eO6j2Q zmnd-&hp;S8KL^nCNnB9y36`hwN^?A zucYs@rTH#Pg?oEbPoFO*@CwGQ3@_o1cL;G9l(_vhz<%ws(xxZe#tFn|!-PD_QLiM^ zoY)%9Q^u!5Jo)?G#WK14Zb|=iNqJD<(WlOP(DPGB_>|6d?UaArKWNJ$|>r6%=K$|FKo?y z#pk}~EuGKZeNTh`qq~FOJ74j#U!z~|$m*+nT*aNo`FU29N;R5UmgaanvE$Rmz~sK) z+s!TI{I@V&bmQkNHuI>gH#3-%3K?~#Gv!+4-=eC$vpSk3X7j>K+M)373?Vgz+DNc* zJ+XWPjjZ>0Ktklw)u`qm+f~nwki4aeNBDs1u7;3O{DfIvM025PRyG=R^4KAxbG>fdB*jD? z!&Rqa*HcDI&eHPiBj5Y%JItjhk@U$sFfzos)>MxiAV{2y)ts{1m-sAW{iUON*Qqir z-QfeJtTi4Mx)&x48VI^~(|AXv>el4s^3IIjPxCR5`OtYHar@N`&DNT2wa0qCZ%V(p zmg@(H-?X8QLfb|EufMqz`Hdy+%3E*ixw5^|Q$YCa2Kt2%bNek}+lk-v?~4v=-8n=& zYW|Nio9bI9|FYvLlD1-p`RIbGM_YU6Q#*_;0(aCYt+QSkHC7tNB~iOm+P?1XA&UpK zS4O%LvfUri)|DSpy3Efq5FTohRG&n9t1!r1Omyy1pG?orM2`)OrX5pAKWFK!%E!Aamjp*dZ=u5ZbOUmh(}(T zn`UW*+4<(}gh`bS*&>3@gYIBwub?0D%Ir6o;vN`i>8pR8f880wHk$S^`k6by_}sbU z^z@`{cP(n0_SZ^<&TOp4?$MrrSlmL-wu6Pzg%@%F_RuL--;T8xDD^8_s;H{8z@P-u?69##>4UeHP86Gz*& za=Gm0r$L$-a|g>kHvNp!OUh3?QxTJN;jx-&v&2@RH$QmgiXA($)3qcY>*-!{-gt$t zRrO%O*tuac8=Kq`*ZrzCI*krS4=J)mlgrGCh{ez6a=DlzLnhjz>d&NO zMIqPC&{=0mm7fY4dSOXf5>a1^o}U@jaca@5F%mPq?s@+6y1XD}x{Gksps4gN<5XI= z5%*Yo(|XsIChRa^^$ZsU+4Gu^r@|4QE)(iR%wZ+#uRo?2{DUeOkuhpNTX5 zDlWpqXR4N;7$_L-@l@ge#QkaQyYjWFgKQIx&$bhi+g^L;j!3UgDPP}|8@Ahm)5x@? zC|YDB*5TjUm;bH3eODzHTi#Ztniu)6w8qn@;;jJSYQ>#~G{S(&@?J7zauiVm4pfBeJLpp{9t zj27vWsNK)}VE(}^ztzbHc3dwEdP5&{kG6|>!MR~m#$GuIzxJBAIlYXAb?lMun{kxjUfM;x(@QohL<;=5!^Fi0rcxhwj zn#%4pY$ p1G1-%FITi$o_|PZ`|5FFwae)_W|EdP(!{Nx+#K%9FbXQ+e*h_D0hRy& literal 340320 zcmeFadwf*Yx&OcBk`OKmLV$2_GD)anyxV}FXeNQ43ZfNETdO^0CILkPDuRk!k_qBz zJ+ZB+v9^sZ1BgdbQICQ!R!u_n*A?=>TJVhJV@oa{1lI%`Ik-ip&UpWBtZdR#trFk_xNn z@c$yg9-p%))lY5eUuET@*^3w1_xAJQ?X~@z{Vw_;o$*i4`o8O5(8Rm$xv|@;T(~H9 z-J+T|Ilz8I@<8GV3NDsldMyW8#+Pq1_K)3TSCPf3PiRB4L|P z)K<=0K~v28^ZI3(38RgHAI(Ml^lz~9djmi|=0}@H{C8hYmT_g&TS;hAKfAtF^6j@D zIp@w_T=R>+OcB#z-Gb;HS34TuB)CizU1WC zwb#y@ee$f>bvIsh^%-C03)<8_wIAWC{{KI;|G)X39*sGUpYV9vo}hUR#GT+gi|+b& ztn(Z{F3Ys{vx<8E>%~AX26{2ji-BGY^kSeF1HBmN#Xv6xdNI(8fnE&sVxSiTy%^}l zKraS*G0=;FUJUeNpcezZ80f`7F9v!s(2Idy4D@247X!T*=*2)U26{2ji-BGY^kSeF z1HBmN#Xv6xdNI(8fnE&sVxSiTy%^}lKraS*G0=;FUJUeNpcezZ80f`7F9v!s(2Idy z4D@2)|0fKjmp-{Z9Waf)#W!#N=wjdc{Q=VwHu3FkkDDeAT-f*#&+(x*Z;$#-!&`CF z80E5YYSAqLfPPs&d%Y{Y_qYepNGDl z{HQpTf^HKjuO8vO)$9(34g2<_jtqJ;d{;Nkq@r(?r#LoZBYoapkP}H2m`Ez$`1Vn!qCs`u@~5IZ&a=Mx zj-Geqr0RanuXsqZ?n!~a3T2jGnNC4_Wjal$KIE(JMAZ5|K?bOCIZnj~1%rnjxRL7zFFo*7H zgSLu4USY$2pbOroEL^#GRh{>aP)BVXG0cs z%t%K3rX;tcb6j-ySCVm`87J7)Rzc#l#=-Dx7(7M6qf0}~-?d_UJ9v&E zzbgAOWr2Mv%cU$}m7PM_fg!fc*)+CcYa0-s>B>N6zXo{P8MmSDO-`TE9qL1{jBxti zMc>jLD$jNL7R{qh-vcSz)I;BbL;bsWYO6K5o%|||Ne1Y94}F&oFbkqVQ^DC)6{SJ5 zARgd~jJ3fZtAl2oF_C11`qCvDM`!7xNW}I~3IQrBW>i+YXWZe&sNnS5~`{>Z* zP>0XkjxysmR|n8@Lt1>)O%|Ed_0%i=GGl({D@o~w0Rv3MVr1(^erEHE?RkOI8xIzq z-grHHcSCtzV{)>uG4{LiR6Dw55wO33PTCX5Yw?HU+tsGzfU?xS$E1ITTjd|~?7n-G za_JuNY%V&Y^;DCROrF#SeN%jKvh_rhiu5rhy87`}s^G$AzNi>c8=;HGA(4kR0w9By*kJSV7!(UG(KJ6?K4Cwq4^*sjstBv=e zpIi4q>S{b2KIyCwEa3FR+dl5B5Pb!U3xjxD&-!imR?-|8dvVgzn~Yby-1KSH9r+uFCYx&O z&tH-4A60~|$-n)Wq~JpTEO-H%eC3VkOlXk6x3S=YS6w)kpV7^;?^1UtaKn4W(y?Cs zs`@TYRp%0LD*a=(GqiXzwqUSv zp?cl#KU?O~PFLxfGWv4)#|NCQe+i$U>us6w>al8cM^ELh&h@tMwrk;+ahli9OPQeA zxZ*!&Bn`Z{jlQdV=0(}tvi8#(`=Bd?k0`!#6aJ(_$L+GKLwUzhT)9E6dj2?Rns!0! z{Gd5K)@j@Ky_5+yn;&dHTKD1Oy8T`~t8bUjy)de8*96Iro+5js*dSXG|avE>H(rfz26w!O7ssps3e-RDd!&5fk>jkoTRY=PjZ z`#$;|KRVjqSo$amZKB|?ooDs$hyL=T+HwxJ3)k~aIq!VHs(SKeO55@d6(VP`$1YCl zn`mF#M!2@2{wPy|EqD=|@S^O&LI3HEd3(+{%pSNjcJ0F7?sx6NaCG?4F54ixFdLdg z=_>+kuI`^F-T$Pm`+>Pj_uu1;BP!jm_vrpMY=f)&ORyi-I6b=mWpsa}Z-(v%U#^br z1JAg+dJ1zb7j|8x7LU}uHb21r-Cw$p1PM+--ejXa-r9;KeXE1?f}9GXA5eGR6LY=GU zdhorv&)Nyi@4iHzUf=rg`Ao1ybH9W5wpq+;vU-@;yp3GRukg-m%CEQQHI@%y&ud;R zU|!Q9C&e<;5r(?5*Dd#n7WrfE%lq~?RJjX40l z-1(@+;nKYcI0e6872k^A=D}}*bAGz>F4a|;JKx#&sa+;KoWvX``u!Qn3h3N+2*1X~ zTjI-&4>))meXk>52Ro5TW8vmT-aY2yLPVPVXJNCcFnY10MEGNj6FOwX;Pizo~J*TUNeE|NvHqc+-{mQ zkI=Yp`_S(H>+pwQl6-i1Ts$rR$g5M)=ax>5J33Wz(C+Aj`{_sR@ND}d=mwWYuKf_) zg6m`phju){edp~PzAyGYesMC!*agSy)Rzt6xj{BddKu$&nEg=On;A>AvvZtq62l+z z+6>)?fw!mrq&xid=k;f%qYE^i#OKKIKWclDV|#wA_T$>-sj*VXpuAMR0|%EB_m~9{m^La`mhHtJUyV7ausWyECj<3G+7i z=`QG-8Jm;O;Ld4x!;9&qtyX;Ewsp3DlU};@KD~GAb+zxrj3ndcwi(H=c-tfA8?A8+ zX(^OdRT2_;F>UGjI%ZZF5+h$Awk?r|gnqE>CQ>c%>!3W8jD1CFZeq zk7-1{@oNH>4O+qbJ;-ml&z^hlqP%L(xW(6BY}+KwP2AW^dTGRp@6oq4zf^gIctvKp zo&~Gq*{!QF?xr8bHxz&2@ZAdOiL$*}Nzq>K(a|mbzuY=g<%Ps#+;SH`os;|i0sr`G z-WbCp0bk?BKvv^{%L3~^X3PhP34C)|_GsA6GwDKi2@)0M{VbAlEFe zSzNQZW^?Vswa(TOm2SAKK*ubD}R-;z@}duEdh+v)}=A{ch}eLA-?d{IHf; z;FBYCbMuKKC9g52F z+EKaMQ5$Mg?L5SLn^_cB*(5vOYsT1RoWGqb-eNus z%u~~niP8$bgV#zgF$;DvrXlA|OAl_Emagk}T}XTbJ}myqpFTCM^(&KSx0T}FH)d*j zLO2?Fp6~Oa`F_0*+wVW*UT_W?G%bDlm`FN*oL!U3JCI znehc5EPp97C)Q!|>Ozq@1s%({zk5_|Xc_nG!oJ2%leI6#oW-@*_n%n~ZYIxn=Q~$` zliA>6)rc!XJ4Vb7i7r<%mJqb*9C2mn1$$tMh6@)!Y|^P2)}n?mvsx4TOf441?b|<&vK;bdj9aBe!N_d5S;RF*8D2?SWvirHheM z*~;70-dO5G7wMA-vTI(vCF$0eygZGc(Dj{kH#939%^D2fnzrt?-=?nXn@K0YI~9UC z0i0@2ev#XbdA|EQ;lsS%{roD=0bt(6`q!F)CN&wjcb{&W)(nIn@f$P_Yu#o`_cza~ zjfc9Qf9+{Q-*4ypovQP6cbzBn{Cf9TlX`CNe!of2FLyuxx1L|?e%_$x$Ge}`^DNsa zIgCTI71@V2OW(%9t*dXN(B*r=3%DlEWa-NS^mf&2err9)q78J6@a}%_>mybrI{Kh- zVkACkXXnN!;Iv+i<{!Me7)|XhZeXPVBTuO8P@_0}Bq?S*v~=-Rtu2D)g^n$eK56 z9W)D?w!@EaqK~VHElL+xg3B0wK^viq4qJ_85eA>S@wBrnu79A3UOvOO-wP+x} z^qL>_OJDN+NLq6?6Av`zn{RdO>63SL_3N{)E(-SPC|YSQ zfR6ii;fqGGrGbNe#+#ryMt#O;%g~n}zo;xH7V?cT>4%`fC+^+{oC=?d{Cye<;79SS zaC!q}A3tK6URh(8?P9(o{C-H;HgFjAAK$q3jL4QMaO*qGY)R0Ue3bALKto6Aj$C3%P|0CMkL0fBqTYYLirFr)MP^P|Arau12b9L31k>O#^{5-z> zMal%TKdAZKS&irOtp4vgF_Kc>;yuAa-0z`*VF7%Sid#ou9UzrFt zT5}3;e=M|%g11EfXvjb>>166uTu42)tp~aH`X8=rxw`A1BV+KGHK)P8mn3U~>qW<# zvLlV*6DKFzhqLa6>@9)EzWLN;TV7=?)XI$s_~Ciw0R_kd^0iF7(KJPd6K7!!BTh`w z#=(%5=0)%}&z5{Jo@C7wOJ1bQyz-(xkMu6TzgaML2)Yzn=E8qbWZ{>r(--8JV+xk# zjw-3LRJ`NbwxPFeKRoK!XaETPT3W6Zdl`Vj{TjI4PUdR5ewG)K>kq+%wwp}dbd zrezFtr|zYF%na45o3nq?EZ#M3^Zg-?U);Pmvf*bRlx& z|B!z}Wne_j{prq%iL_%R&&)&c@vU5jl7ZpooBA1SOK!`mkV(zBj=4Sh4!N}BQH4(Y zY9MPRZGlG9?rSU$u5I?=gBM6vSN7Q=8Lo#fs)%FhyA8lUi#S%f6UT}HZ@ewoxH93l zVqbB-4e)KLF*VcC*Eho(as2he%7P}jGK?O=zocybRx1irh=uk2c-heKJz%2e0-3peS)m)WrlJ^6<&-`J# zXsG#SEN}1MHD?fiM}hqubLG#=srzYuZOCW*4I}0hZaKHZ%rEWm@$>Tw@C(jouA3}v z%Q|#U3AXH7licXYx$B?Ub3VWF7_50>Id(X?(Bl2#7_owU_@I4A{m3eCp?QVtQ*_TU z?Db*!tF$puK5GOSh9?$WApS9StV49H!GCe%!9n;}eo!^BkAeaBG=G=z%D#8Shq3#v zop)mwUj3x@PsZ1D{YTh#)vt#yO3jd(6Y-JNkF9_FEhAa;LGFv=&}20_EDkRy zzvm?AuJU&Dj@nk3^;G7eY9Ei3e2#Ew~F8?%Jq$OxuL8I*j0CTU`VlBZ!z`6 zBN~%<$Bq4~%=_$)jd{&r;c$xh92^?OWq{)-d=xJZpF_@~IU1X(xy|vBD)~l!Qgv7` zn)8G3R)l_q*V14ly|)OxpSxq8xY2QqQ%;xQX~^r4-cj`LD|FPfGL(w8?bP{$ky zzu$uGWabjH!L!ED3VnY8&MGxe!=KWeqcY6gt$^4b{%fV|)-dKQxy%{BDgOL|Fn&om zFVXz&@z^!&*&*P({{%a}LO)jQ&gMBg|FDv{O*oJCplRiF_;NIJSK6qYV$WkM&*NHX ze=mM}2VFVF1kX3%qn3I3%F&7DRV9&hC%&E9SB_pcA3J@VM7zLw0b{5v!RKZkT*(|X zIvgMTTd|H>?5O*_VltJp=<`_WL#N6)jQtp{^UQ*+UosVfVIOmrs_d!A_41c0na694 zQ&i@knu_+Dnp#eL;Bv}G^V@OuvQX#Q#65`n2);H4KH=BppUQ9BI8fXDSfe+lo|W;rI+WbyhnM(2jJ7zL~~+CQMx)I5DGFH=8K>#Z+7M?(x*?ho9rt zBah^E)vY{<+!6T6&~6T~u&fYk4D@;Xf8+0{zeqGxOAN%t&+W7)`U+?H_&efm90NU|MZR!PY{-3glipnfF5oA3Y;*r+)7vk4 z1Bd!pIeJaA`dKv~l0G&M7|vb}er@{Cp^b9ntP&r;48C&PIq_Za>cU5CHLc5hOavBtZzjN8_(`K97aQY+r>)`^)!xW+dqeH zXvyp)-8kIL zyV~QXrhV{)WHAa&9~@|`xNHG2!*+cB+aEGbog<>WkE9+P7)gs4)(h^oSSVMtg11$6 z4`qs9tmSG#;F4?RJixN=iru3V!^HXX&;w6%wc=3d;sK1Il(9qyJMk%OfacFfDV~Td zCy-Zt(}L~}4Vo9qpHLgx6<8c9IQGz)RmVk=33Oeh$?+1lzLr)X)s;BH+-;LDPH?5em)=aiSU+Hq|9lTXHtzY^l77oDq<$cpX;$H1crSIhz+G}Xh z3;U*RJ+nNt1G`rH!+z=8s3)9ioNp6{E9k#>yWp10s%+lhow3jCn`S;TTzbE&&+@+M zWt3TPVpF={9NaH`gX*G-y6T?WH@$!|(I{GI(`CNmUoi^#neQWOQQ)|NInA!JXy_sKeAFSAM-$KA z>1RF$zK0$i-(CWaHq;HyUB@4kn55-mADISs4uONHf5V*Hf{4Y z?)2x@%w;~cncORl_nPDSrXMJsGGG2>39#KkpKXEzztota4Q8xKe@MBD_c6o{EWC`g z@o>EL4tX3~8yfAoui;)g;S{ctP1z9n;pwHn{7gQAA;xUQ*2Hg)Us%vqv1A{9y6|!X zuv9bO(LB=f*-kSR^0Va&CQ3}j^~nEi_>}S$qbGBfjGkmFb`P{|^se#9CAshN>19vj zm*PLjJ_pQ3tr_KmU*s@7g0;R%WI2K#_nverK9j*$k$)D)UdxZHr$4pzEI1WzSIUoo zeql=<>q5^@LPq^Q+fN#>x;Y=e=Mc7az(ndX{=3w&_C+8AGB+t{h`>bJCEMf+?s9s=~$ME#O2cOX2E+CkayP3v~FftFO#j1uKqx9 zfS(8R75lRJd4H%=4MC$u3vh-c&{33u1fws7|T3ALdQimnMw zEd*B<-mVF~!Mw$#gYtQ*phG}(Acsdh=hET+F!M`rE}8xLDa7l9Tj3b|-UxhMeCqmk z*mjLqzKU$iu0BL21{5~?n43%1{85vXP7;5K7v-aBjJFc=&={woYkC@E9C;S5-2R^I zXZst%S?7t%LoXK9h31Vi6;Cog-4Ed29p42R`YE-#XY(PR!zxl8!Gq?aY0{#+@~H@yMiNPtsXFe856Vk7cG{|`D=cG&JfJ~@LTVMPSVfAq1EQ2H#c`WGTM$V zQEasuo-pu4{iUm$+rhW|`)>?LG@k>1wGlVVpRhbM8hMqkc)Re=Jh2lVeEF0}Qu7dW z`HZI8<#!xAXOZPQKSZ4==nGq}hgx=E_vI#;1CBMfYKL~j9jx+B_{>lF`_Mt}-12tX z?+lsrKTfvk(g|JK{$uibmp1LtrW4wP>2ox{5b&MD@8`@rj|JW*nJavnZPKzUzrp_# zE`IS^rzOX;;IZ4}V=;D1_hM7zn+mV*;4``Uz{P7M@%1Gqp-!zlD8ZhG&gkYB=`(HDO_1RPCk$3&BApn@JoMgfG;Em zt>ADc?_0rH!os1gGam*=!d(KKxq8&%Yw$PC;g_eG1J%jramH-%6l)lQ^_|~m@FVzG z!gwSDmi)4QvY2NJFJtRM%0+hXg*W&9a>`X-c6J`+m%~4}h0qJ0eeE*gvOUfPP*-=z=3T1tX7zBOMX4od&TCYj3{Vk0Jren}=+JBb#uZ|ZB2 z}!>1V+$6u13sRxG({i~a!=#;G^Vj+{oes=IZj4{Ne z^Qqr%`Ff_y2ejusJ^LkU|82&gI#DaOWY^Pv%OB%|JtQ$S$5T&yKAoz*qezo#R|T z^;PQXUc4!M>ig}K+5Y9`&-j;d_K~`H6WmqcRCC2?%!};xPvULpp%UXif0%SO z+r{{t!vn(_T>Txz$D9EFtfcNGT&Hkd%r(gMv~X1@jNAsPb5XcD^gMpsXTJt9%Zvewb_uf6aIL%ujsPq@QLlQsS$T^tvDX8)aXeA7#IOVSXefcnVI9Briu#vsN?X z#iFXvblM=Mc!y$&9~4!Go(A49d8D7BAGCgvPr26ptaukX{S;sjj%~j9ZHB*UKkL1G z4$;9|Pkg@)zJC*$5?x(gS#^?QmpuAYw&&ZF%g$(RM7-(J*4w6ACb@ET`bg^Lqt{mv zU+nBZ%hKgBWI+C(skvc`2^KaR^qUo9WK4={b)xI_tXN0ESYSg>>A9Tea-MhNi|P3j zY=Cm8qLj7cw=5waQ*_kck~jNTg?7Wg?HQDLEj{dcdP)`5KXIGob zO%DhC^LuLZO|?axdk0*ceBz|3>Bn!MmOhR(hsXOb3w;|nT2Gsrev&ffOw{Um?9}us z2R^|eyQa9udB70icR6*{UisL*>9PULKcUOH{30jyO<#T*@eamu3ACB&%t?Y=#UrH? zqM<+ubAEW#;(6v!U)0un&_ngTxUu!iXXmd8bhbNx-N2fKJBO96ukq+?>6JsQWj}bl zNe_fKsyuo-$~gm3^isZj9>%ITfN;ENDMq1}LA5Iw*Su&5gPy(L%h<$OgAe9SnkHb$G&mz*|=xV}%hH-|gyta;5x@4IVd!u0_wufgB40@;!+ zdJbM4ihWkjk@S|%J&7~kwb+RQv&I@LIb0jHpK&tlr0|NhmZ-Q+l<`a!{FH0VU+(PO z^oU}Jz8rDKEm*rA!|6^35KJZHv%*9>6I5!$pl{g$B@dcw6!dpDm%x)B|gGOWM6;rK}> zL;G%-3)VcRevy~`;7~F|zD@B;`j6B90Awd@`Es`GDDEfy^K-vR+w#-Bhg#$ATDR_! z5&OMxu^(J?!ROfv6alt94s7!egDp_gUpficw2m#fs?9ykQQ%VST{_{7t1O?VMKH<- z7EP4TtoS?nIPK-n?lnjUX4ctlIkunmjo|zUI9>fNoeci0_4c?2hk|o8GNA5w3hseOj+uQwu0@T2R6ZI*$imh?t$%v z4A}N%z-IG?4VU0_VQU07%dZBP(hJtQJNet+y4uFEV65+FoU;^coP80T4*t4wnY=u> z+Od^C z`Z4yJNvR1~`4w?TPDSf=$Vvj9EOU4<0eph(%gh^&1X}{WNqKaGXsdjI^wOl|kGCS< zqLcQbW<%fq0A}S@8qQyMIgBsCyk!yl-z%)MYS@=%>BlVczWl|qn+M7NIz+yneCHH$ z{pfsnY>=G`7D4~mc4$b;$Qs)=%D(M)d{X&W&Rl^YI*J z4_#Hrq*kA4QX8FjVbUQJ&?_V@@t;{Whk zle%%>m}c^hTDI|iXEt*-<^UQ)J2t9nBs!oN+5=y?@{1OQE>?S0BTe#7>ev08eF?YE zVtXlTAH^nBH8P&uF{&;!YH{I~L)QgQ=&TK_?_^&5arRLse2TBjn(#Hza@i{NKdQL1 zw$J*`6)PuouDE4VXSqo|K9amCcwV${eG<{@mkYn*%q47k>7C9=(;P$ZwHBnZCQsRS zoHAq{p0Vqx9jygb4P#u#dBznTVUKH=Nmeqh82j0(hQ*aLbxpO#cAQB~!mn2Oxx_hi zEpNZ+rE^YeJ4bm_qsW^o3KAQL$0wD>>-nviMDEmj)+*DJCYiKwkv=+p4!B5vI-YnJ zFf0dmqrsilYode6pBq({ynEDgax1angH2N3eBAG-6FR_~{9a_j%HPJmvgY#4cCEo+ z0~VM8d;gwKoU(HuzP@>RyYL-9nmjMcKCKPRS3bFgFJ#h-hf>O;j3fWNNLuGOSoc#R zY56R!eQ;wE@=sntR<+-2?U1gsTZ$#KuY}13L~dD^95;;p(c_1hajRILx&T@5vByk) z?>?=UForplNq*aij}C=rfRazT_S_8uJ5zn%kHMmFM^y=4wvI9;OEH zuQqN9ndBaF9@W-XaN+WXu5}Jhs%dj|xv$X=90}U4W}QjzHKsxjPWu{h&*@!ext>+-t@|VRzNfk>y8(Tn z7?vB0*mxDP51sNA4+6Kdpwl>D2`sC3x6An*LCuSY-z;Lr*fZqhee?q%i z@S6?8O*RY`zX1dK$Auv*7|>lyXh-9E6#NKp5A&>V1>ZvVo_g1EFZ%Q(-$f&OmhaUg zZ25jP&zA2OSj!Q8t$8i?oDWzm8GlCQ?6pvNoHY)~yUL@KvtB*Z;9E%MnQvG!y+P|W zg^^So{AxW*Ym{0iRleat*0m05PIIn3zxnY9TPIXqiH_i#Xa9>U{QnHsC_HZI2-;IW z(hYakZfe#(hBwh8TJP@C540!!@DoQrEG1uhIr-9c^d)Ui4>Vnw)7@rmu$w^5BgvwOg9i*8Rxd z35u~{hx3a3e=yKrHrr2M?%GVX$!nMuW~{<5^{esS>bQ?-EtvC8+;7Wxc5|?mD*gB#ms!nQ6`{y@f`lqx9{Zj)?)y5J_|BNhFTc4|cW;*)k;V;%d`6giNAAASN z>sIh9Jrw%6Y5FGTL5Vjl9n{aTm&3XD|KI4N8~zD>B$#}_^kewk0FO(@`K)J)j-s8; zbrPLK7s*;XywK|R*Jz)$+`A&Mx{kd~id#-bMe)3m`RV6UFHX69GB-c{F<@6+D?i<-_u}w>EQ?4ox%jEMoPVXf71^gl*siJ{mo51&bDy&U_-R^yVeV)9uOn+}xYrz1cKqvg zo0@&1C-!4JFjbmiHSMhVNS5m4r&Cw^>DvBOw&W<*aAfmaC;KM0vA!dlPun%~@ZlDL zOTX3?C;J+k{6ia%pO!tGOVj$4Z(`ForksE+v(AihWl%VgOeltBefN~Fu|9ik^DFvh zvVWrN#|83FEn79zIuqis`jh>QtEvAi_4lA(-XI4+_Hb8Vq?HTs*DLHZaj?VVIG?1e zytAY8t~WWGRCT2z@1dQw^t~Fm2k=gF3-27OdmjCqHMiD#+lR|7)?Do)bVz!s{mz}k z>6^@VqL<1t+f!Rj@V?%?iM$U5@4}gI@T{eW0*q^9@l?ih5MGyTe~+9V!LgAx^}W8; z83>jxg^qc1O!76>6l1jIn`iIWaqB%#y-N7b8^^^iTQSa~ke^!|zHLSJPXzxf;f*Yp zZ&`;KgRRzni~{U*?1=n(`1#9)+#SS`2I0!+W*YHYz?-_pXoHCm3mbv%L@J_Sky>m0Q$$yh#lk6G^pRO21vK~1en{DMRjwG)c{3@p}&Ypq!f`?qgHYcxe^_cEH)VA7d10LjwxS;~jsm2bDH{42GCFK>-28~#WTGZ#FMz#D?i zg-g#W_m+tspMjq|zA!n2E^f^{d)!x%2dr~Rlv}Ob!MN~1j+V}9{F1zUtWTC-Kz{g?# z#WQ@DNPshk2foYxXwhOD<@#or^9_fkG_?Jj{mn0VmkW#~12#6tiEjwMK5__Ezn`}c ze7Lqe&Tj@j?Xhvk?}I+2;Cw3MAWo7lg-6GNpHkY<{$b?;i>Fri@Xa&i2d>U5OIqL2 zh7bLxn33q#evBO(Qm%`>Z}fcc;$kcLfr7Jrwg(quBI*C2?jGXhbr0Bmuh6$W(So{a zTk}zOJZ{^&-nQHRt+(xnjkBw%?+0gv1J*Q`Gk)=4jQR1C-nx_Qy4BQO3vJgxw9QKR>KIALRzrh1wNwBR~D39==PECusOiF;0!;tJDz> z5dVD1<%3(v>x$eI>#){lsB^BT9c#RzpVolcYaRa9tPbsoIhQ!1AwS)WMo&P~z3`%V zqn@)Hl^^{X_}SO83;nZ#ehc6~(f_yjzLhssS^L0d;qQlllla|3qseI-Mef7$d#9y$ zK;Iqxm-1sj7@{Zh#gxlpY6k!OX>aX*NA(R&a69{b>n%aP|b%q8E#eoB7d zbo}fq@F#b3uR5xK33QPzksc9T>#=|J{je9vPu@q%Uy=+Rn-gJg+TxBj(h<(0QqEbF+>y$=Ion{gAz!2}6w5_-O2!zAWK4CvGFDC<)fIgTIJ+Pp9<=5J z@JlskEm^;?NiQFkF*iWRYd#Ql@(yH!^(@=!&J%)+OTLNqw+kF!TJea0XZ-yI7h^9N zlxPl5U`HS=}W=L`gRllp?`W|gT~f6r>aBk zmvU7fJ;Bv=#+0*mB$#HCZ(+d#9cAYZvQJn3p&z*9A1P-*K9Tf_{$7f5F3^jqajc^& zzI=Q&>mG{ZP;UsiX0MPdN$fVa&OdBl1UP*)3)vevw55IS!j6T7rt#G(+fO!~IuoDV zHNM}3y%SG%`>IdhC;0WOa@#ku%LH3yJ$d=E9;!Ea zHO|~UO1r9K!)@2w29IQZn+cy6Hh93=3;w@>Es_b_S^qq2!l8HHnL96hLuVMlpC>a1 z3xY%Wg`&wSc%?tSlVnOfT!iml?cl9|^76ii&J2u=BwwcPno5H#_-h)_E#fWl-EeZa z7lT8^!v+KQno7xi_tg&&v7L z9<0^mn#&%wl4Ga5rX_1klge9%VVlX{vU0Ck^ZGsCxbmKj@9)j|n9cm<=|N?w=vbSU z@3EIdb8F~Ya~t>4>rZo)k8jv-rd$;5qlx2pzo)(4_}cO#wTCA`yjXsCS%Ix5!@2mi z&|Nm!6j8>wz4EL5CJFdq9{QpZd}DX4y+(%pc!l|9oaMjdu4#_AZ4iGGJksO8W&Wde zKhd}nn|(RHh{+@0oV;fI^)A0;2foSWVb%?EiOqor`MnAFU;ujw*8)%FAbfLR=mVe1 zRv(}HU(N064|vWy1$cl_`^qg}g7LV%yz&Z?m+RMTJ?t-7a z;+78y{MPw)*uvifqvC&u^#$%C?9b76>%lAj&+YP2O0j+NOSGrl%DaRQ@)@W0=(yjz zxG%%U6`m60XP=9XjUhwwD-z_z7Z4{51M^S#PI~Tm)}-6vyQ18+&9lM7Er0JUQQz<2 zFDn;ZbFv?4PQ$!NYiODS#F+b8{`sp*alH8a$a7OWKI^>gz zug2Deva~N0KDlqS8JwTR-(uU*S+Q=k86p`acF!KQEK8?9g%7`S`tc3b=N;d0A$cS3 z(1tZ;^tBhZMLED$Z0F-BCUfHJHf+l?VVh)<|3e#b`2IDn^5I_LDxH@=Pt22ELJzcK z^R4}n&^8J@mB?n8>o)fOO4bE?A^NHe{+AEGnteJ?(T+R5KQn&!UTd80z2>UYOYOin zojpAoZy9=4@+dis(q8;%{>F_Xf5KBjIFe3*$AqIW|BW=c_cSW0-f&qP#;P2I;qZe%b4SWbav`=S`=mx!BqrV9}Tk~Jw`jftK zd{^85>i+wN#A2;n_AvgJVsi4E4iKCF_&CmH#s8L#{^%6`<_Gp{;ck1ch_0*r!)i2N zRL-9K?b{NjNqMee_KG|rUzRb-*EqCKJMse zj!_#6YYUpyF8%x=M!U*k9b$$Mi|22+5StgC_i(Nglb)tR;PUz6+v^6KRG4`}Rk2BC z^G$T5kv-u2H}(V(r!v&rf1F9~=kFW}CVY~v^ZZ=+R4#e-K5Hx*hg+uS1a(xVeFd&B zr1<9_Dc58k1o2jzeYAZ<*z)J^TAGGGBvkhDQLu#bo z?gYjJ-z@~EP2jJSa_nSb>Ci)=`=C zNM>7ZPJ5eoozjDEYn>AO27ynwwbm)ees-PG#jnEUSU5V9=B$zks*J`w{p>>uGhsy@4`6a6U?$D8abImrcZy;;hZy zj7|7GIV8+8Q-=K;%6ULPF8D2DjTMq-XZV}J+^?ziUF^e#l#>HdH+R>heCI6jO5T&7 zTCsXb{@^=}eU^CL+*n6GXLgH6HBOsv?R7Zuwea4}^LDvAZelvy>*iMRePKsAd4@av zeye@$XR_pg@3kK1m3zfWEZYLlD>kC>>%7flqjpRJe-eFQ=Tmpb18jXNS-u!QwGDf# zn1zp+i1g)+__GJFxyt3*WZ7Kuu{cwACAbn#4rOlS%C~HH^%>Y$-jxQ;z!i*Hb~nse zh#92TfaBI}{*L2$Pi&>defMa{qzWm+m-sMIXj0^3e-eSGWRq{?n;VO>EIphLj|gt+ zS+NhV9#H{YjH^H7g%eh(kd zk8DBvng;HNIXKhW>|+&D8gj zJ+JIYUZiK*;eW5q6pba5G3X(isXcA3&HN62m}@gvyEc=0i=ne@<_6hJ*12ReGwtPX zfv?M6LenmL$v9kjlD)jZ8He~a)5fXHD+9X!Ked-0TwC@M+y;S9c(v^1NuRZsE^fQ* zmDm1$QG2{E!=LloBey;DH@ToTjaG3V2H&Od)qHgFy-vG39a~hXa`eYK;LQeJ%MRw= z+x#Wq?OMZFNzC74gFkN#!?ndOEcX1!-aoqkn?B{xSiFM|UV}uc zEB))GAL8)Fc=KqpV3ZyECUaB$eT{(;`wW06b+;0i5^QGrnGL0Lq8)9gs2zXJ$?%@u zoqI_Yd%mv;JGbdEi^{=S#;37%~QX!;>u<0!#%eml5R(LM!3(vh%*PdSAWmq zU+5fM{Vf2sE4;~G6^u2<$iCgFaUm2zFh)kN(4 z`ZD~8IOnK8jUQpq?UnFA-P|ziu+ffHT&2%x(u8;&)*oy zY|{WQt2eZ z?GFTtg*)v}TBTSP-;=k;o)OcyBFD_oI%58JA{}p%Q|#J+PbWu1t%kD@fa?SHzu(H* zFtTgG*Mn5#(MwKSZ zf@1}~-pg5LyzFn1{SdCd){5U&ihPL{?3W^jIIQI$Yl+g=lC$-fBWE6ZiC6Vbb-cMZ zl7Y-}J*&RAuI^Rl{WjvXslVAF*aVAYN8juG5|v4Ah08o}sJwtf{w?4!ujRLw+cL^o zG!+K?<$^~)_|RE2E`2h`Dj#(fKC1Xnn}} zbIe)`Vto!e#L#t$zqM1oBHNC0Zsl(QNUwAr&7LH9%eK|QmSM=l1EtwrdX#e^7F@;q zLj{~?LtC$LeS>GM@yV}`5NCaca-G|u*y-Ew$Cc#e{DgMi=Wq4s`xD?(?cIrzOQr9p zvHql(=s${Y*?#u3$-j@v{hz=8GH1`Z$L&V7_T?MpawUgv`3)hU*h*P=Z62bwLv$vSVLjQs*toJoG> z7?Z4+Ghxg4ph=z`G^tZ2`Q}dyo21U3P>%hQP*(CW^wR^S|7M;4w;6uWn&3y!+}$Us zGVinQ#e?p9^rSUMdI20&`&p|6=XK=A_G2x`&-#n_$=iNrTcVxY7Jlr4UFi3{;H(|F z&BBk@_w5Cj3jK~V+}2ZHbm}J?2%WY~tO{L5>{@5~tKDkot8accqS~te zGs>=D{l@L@eg1CK3d&3mG;TW~$~m8lL)x3@!&&)t-jA_Lz8-ow}9`MU(1ze=7l`(o^~LgY&Z9KKn>xn%hMGm4h2ZRXmj zy{X#P?eYoI<~Ltp0HS`V8_8@{VzTiT0ehhp3pFfL!1 zv*d^i_~C(4)->uySB13qVKwiqeyH;%F#o8E%{ZuDC_JW3%x{{i#O>&*B8aU*?uT;bFYK1o!G+@ z!QZ_OzUsiI@bw#L^AvI46RCS2`3sVnd|#mEIsA|Hj3dXKVdt-Zm-nT8$&o_0>5Qzmk*gE>;t%qzY-lCp zYIDBpht88eYe%1j(PsvImO!7CvgZ0G=Wne;pCy(>noY+AcbJY_p3BKG4LLbE4LO5y z8cZ;!fi)lT3{lkMt@NfC)EymV2mA+uj zG}gJro5GE*r3KItxHXnA*FKIexr+8o_{z{OXl#y+q?P9>`O`NM=h^~aNq5`_PsPXD zx+9-His297*?uoPRgiZD=LXeUe>YFKoC~i7!O55jvqEv?+kk`L(Dr}B2e+!vyak~R zJg>9Qu-RUaH{1IDNy;9A*X%mihIE#?bWkR43&&Q4zCydwRRP`?jjawvoqp7=#xj+D znz&b6Kjhl^RQKP1l^@0)_LdZOY-FEE<3HHn-l5nxaz@Up^LI{`+%fv6rU_sDMRPXx z4Ly{T6%=xDw{N zKM&$3V(-yoiJw9j&N<6}mo+MD&XCvgogZ*E+pA^CFmaX+)@~xeDOlsf&4hOP{)Bcj zVfpAEotp$(tpi7laky|S>;aA;9yl~V^uo~&T=IQpJ8(RLeUz?Fa88uqigHc!w{GQY zrO@5~U_Ux^X|(u__ip|6PnBDi*K%o5pGIF%B>C$18P`DcqnC(j&TPw#q;_)lR4aNhZs!_yo$bv=C+g~PUt9x=Y-z^HM0*F*%T72g47?KfKnebsJH z@g291z0O?xWOO3A|L~;0xUj&+L8Zy5>5oozV?a5}m%Jn&b$=k6Jx6_7?73sG(|IuHCDwAPRUEsyiJ+ll?O7|ty!G|CBMUlulSx8JaDI+EO`D|%;*uITy|x{^a# z#dQt7cR{Wl>sWn!Bn5ra2Z>3_MjwFZ+!&q3Ti{FQakyi0{qL@^F@_$;2E9K!wk-Dj z_aP2w&5Mf<1hR|0V|$;x8O0&&F$RlocE;Goxgq1fZBEb_ODcRPteG51o=RTJmvj6l zc;SAZT$)VS5A^`M#^CPrkZqSO6>ZjpUD^b#^U++NXeG2yKzIIzwnYQ?{FBQZ_}ay* zz}C~bCK2#w*&MFIr;ES;i~i5f>_7Lj=c*j3fA?G=jbCd^8vlx}@dpkYe>LNeTjLK{ z z13%JXf^Se~CFqbZ|L3z}K+tGS)h{_m97M zJ7;(_Jn1~&{0-GrF3Gn0GzZ#pnaTaUc3!#b@OHL4&zbE!f0x?nJ}*$PDCRp0803fj z6c|SUi}b3M7ej0-ZbmlPF|$C+kAdq>2S#H?H2kpZKCj^i+`oapv>XW=TdPwA7L^yl&*`n}~>&`C1C2YMt13Ae$PGyZJXInw)S z-S3N??-^s)_r+CT@cuIA{ZsV48yM)nI7;8&aLQfywmGmxco*lL%covmulsZ7UE&GJ zfcU=Hp}WiX$2rg9SMhrx&*Fc{RhJE*A44Ba8U438H0+q*vF`8yfU>v?wJ`CZ1lKk+OY zxbNFD-hZ6&Ue9jb{mwgm4?Hi5w}hX(ofdq0w(wQP^LhNf#!vi@E-X$5Oe5{QC|cP5 zi+BT{hx0UAIpgbzot<~J4ky2UGJiA5Z=SIAm~E5ftH6s^`(9rB>%Y)`u>HvGJ7Xy} zZG|C?C-7F+c&zbV-QM+Vjc*ap@b`;e{{AavE^q6a`F{GY!{1B(-bAi`?chwsO!O-R|gdTc6V3X#jbpw^tZ#|%j|pOo+G}u z@68*Bw=cetk0`!juboBvco*+zjVe&Q*5RFF-Z(OCopD&Sb;sHWeckbi z<|;4XDjdJC*M_5~_vO^7=C{(RyN>Iyw=FzN*Jko(ODpeO-ipxnpLuq9MD|pE?_qLb z&A3^Z7r*ZJt1`a-SLna~oqvt~zoIXXYzV&M1Y<{rivN9|J&ug`uKg@N;|t#Z z$r;CyzW>B||5tch^8XgJ7B0X8Jl)5VCCUGr(EE)*c1sogW#W43yIp0nua<6DbY%Ip z+Khj}`=&2=-S%Z_t7T~q{XFdSlPMoB zXY`-R6ZN{P*E6c>nE;_x}ogV+Z~< z`d&|8YX6J;j$1#cU41Xzta*bk$801Y-OAV7WW|o~bBK$xzF%C@WSR~jgKd2{=U97j zi6@XxF(Y4Vs>I#iWG=&*AuZLl{)=y(S=8X-xHY(S(x*#fM|UobUHJ25_4l`$fb}=Y zV>g5b*Rkf6AU+#r-+Uo4#sFvbDG%ajbE_YJ;;F*W6XZbDabA||u3mm?2LG;o5x@PFXAeJF{C4`shm~18HkmRP zKc4#5yRUoRsZQqm+rQxb-5KviU+FN>*tOjWV722swhfj{uf5qc-m?}Tl{k<5)SrLc zdDoM5NAFYG2;F8i$a4H%Qnb``1v^aISXDk@bsl~W_K** zcPT#0QhrP3h97U{x5{MKd=LKrudr#%);Xi__9b(!?6`?v9`z>jTRiu;$A7|4ZEH*<9dEg zw6}@hq9x(S@8rjrtehdAlQZP!8Sw&>Z8e(K~r zThY@GJp<6Q3|cA&=%;gIk1yqSDf&h_=TCDBJATQplk=TK&oR()GBh&K^T%^%J$@6v zJnBv4_uAZ|jwC;|EqWGEuN>HZM0+>#du3Z;=pesWXm2w=$&BJJwk{iiJ=J+{!&-ib ze6l`hah&OV0$Xc=8_nJo$U~qG#?w-?+Nw zwS!-*YyJs1f?4-sL~^_e0+K^CbFo-|5=y;u78&rI)$&*H_a^YX5$MZ(Hhy)EWoPyT`n9wUG^uk06MsiwHS;3Pk&w+N(o4%& z!z3<2?6vb|yFdAZ^jS=woHJqfN&D73S^d#oG3y27jRcFCmp(+F#c^;!pPWnAx0rs5 zzeQhG+c(>7i$>t?A;IkRmFpPuk>357cMguaY)F)T9(M2~`=K>3=@$=utUjQRRmyBX^e7R$#a}*-)ZEf1kKmZ<+l?3t-1eX?DEYQ6*cUvSv_gT zRjVhJ>gU*6a)hkB!ztL>dh~H+@c)taF5ppB*Wdq{nIr_lO}QixJTsFZDxji(+{q*X zZ)jDd6;a6~K}-k%6)pG7Bp_9TEmQGQqGrNHO$4P?Y@*c!P=9T`lwyCBwiW_fZ%9Gg z3Zoh4|M{Mo6Gp1<^FHrC&ofVE_St9ewbxpEt+m%)du`trZOB_MIn!1lYY$d$+N5HZ%-q?4z$_qAom~ebH;kw7TPN$u4*vw7w}QN?&w@Eu;gJA4dc#8 z*=@3+q-Q6B&%v}&$mb-n69>B(EhW@ljE?=&-%6Y7vD44@5gVCjL{=Eij4squ*>G@D zN?!qEP{r2si4S-)xAsr)j^4B0q0gGCs(0VW$gIsTFKOPnd`xqm#ssd8xLng}Z}c`p z+iCk8PM+s9=hNq#)PwdJULzv|JLbB4cu8e~{Ta#v#Fo89{*7lC?`rz4H!>>bony?n z9@-41jeg~enjO@C2Hl>=v$wDdl{fN2U^+a~h@6Bk(}+(@+wW}_-jAgc-|OgAafGp? zEm_$7BYLb@!Q~f%fJPY*4@n-=UU>fKI9&X!@#Tlbf>BtoZ9#&C-<}uYtyjl`c>Qyzl~sQ>;(@^TXMTK zjtp{y`&jS2!8oeHLos;Y2u<@0=P(1<3n(jMyvna%ePfQrHxF=^Kmk1C0C&B3K8$^0 zjUnd9s2ENjibE@X5B|f|YpBMO4*qigQexppdG4M2&u-Sd5dRSHIK#Q5So9AaCLiT< zMz3iaUkq7ylw2Xu_>2a4;F|Iw&Gmfx5{DLWq*jP;9qg;*5wq5tI|*8yy(=s{)Lz>7 z57v7-;k$F@@B5qoW#6BDtMv>uerEL%$R;3&4O2brj~MfusRHINOv znTsxi^V0m6JY@guO#>NMKA7joj~wKh^V*!+1Lf@#i})O<3onSi9A5B^d*y;B%HwAO z+=larZ0sE5n~yQ)A>Taki~+8vAm3gu_cs^vX$6MTKdqXzs@&78bwPJzU<&i702%js z`5fxZNvbm#dN?XR0|#0+?Be}=KBAHLPt~)kX~V;~-TYSkj6uIOz?+J#YwiGGXWWm^}?UiJW6{!+g+C-RqinuCAwa$lfeG%Bv7U&U(~ z$c<#3mn?%n{o^Sa+?~5-JK(on@Z?S>=Sh)~JDo<$L3pPDp7!#8X5zc%U^U;BmtWs^ zE%!EG#dmvt9d@NnJNb>ys-#U5Prb?59XHNx?zgm}`F!f-ftR;||5zTm*5Dm4JoCX7 zgKHIYEtz;Byr%hZC3K=LXIqUB_Yzq-&?VzvRNL_D4{1v>^(5_BI)S_%cLVo_%+Z)= zNN$WRv{!5NL*}MdT!|d*#ru8v9Kwck@?ZKgm3Uso@V>}gRGjrt=&QJP$=FfINzTg* z)jT_hf8}cUE0uY-o%dSlBZD@>jOATq>%WMD8-|=c=IE302)`FIFR$l+fOvZ4g3qBX z?x#?Ss1r?cdeXs!5kFLNQ6cMigfyO(0~=(EhykIVBP63|)uonEOW>yVzNb?8SE2K}N@R{UvAI2;?2-lL=0cS?V{m9rw-0dP+ zePWT(lAveP;pODnV2nF?NAi>00O;mE727!T;aGxR?`4b{0u4m39O~2?&WfYxzQNE# z`l0~+{C)*I56#oyODBA}n?7Z~&4bsZU%S!1!FR9qe%$A$_w7CdwAlmSfCGIieMo=r ziXPJQny>0x=bbv~bRcHgU&;0qcSmH}_Sx{~V3iO-C*N-u*;@SJen99xzpg+9u%Win~cB6O3 z9!vIko43O&BaoNJUCwFO@?XD?yLwMs$M-`OmhOaJ85QR_;6IqB8eb(ivGJ$aYw!TQ zIV+A&;>03f%iz<>defH5P0EFrLHyS`<@^4eecQ(F!iH!F*G%{Jbz~4Hl%cYXIdWPh&_d}43>yn6VH#XpV50}*>=`8RA{kuOU3oWsjMxGs>&Y>E^6mlMZ*SLxkw8>A< zrg%j|ofq18*E+Mk_{jQ{6`y?2Fn08S=NEBrd=+9xJHd zf-#vcj?{WrJ>oLDoTMvr)0(<e&3Li~p93_m+pxqzwd>43Ec@N6P zR~h_Q+^oiF+mLqLtjg^%icWUsYn=Zt;}cyn5_B1v zL>Dtb7e8mP;<(>s`3&@3u-dUkf=w~&Hvc5UXYb<+M)c1AFBp?~CmHYmet=kea2}t( zeZMt-v2*r*SGi#RG{HaeC20+vt>mDU|6e%L{I%v>A}+4>0i$mUdlspjyL5AA#M}Gqx^p?3uH1@) zH?udvy5(y0NE-UV0o=hQ#hi_G4DIa+m~*hlKExmLDSo~#Mw{@&$Z{R)7 z%T9IpqK}PTVZJ{0R`WMmE6f$Rf_76ri}DRe3f;5#oxS$T=uPAny@~H7JUa^*Ov-La zUunKdE|x0FB|ouO&?jj}9OwtFwOWapZ^K4;igUytdW=5~#Rgboq}8^AKb~Lr6!SZ| z{I8TJ!>Sza_WW~_zbcnA=}zJar-przDZPD>C-re<^#j3%#PiD^A_qVfA)6H4r?8xJcxrh zZ}WG~6~`#o9egozH7Z|Y^7|fQ;mi@fXmVLAIX!hJf(^UP-{KdYJ#zw|e83|)gH}8b zdylhLpP*~=7{ej(6+Hgez3mr&{DuDlgL;aMjPJjwFZa{FXy5|-KG=Bqwh7Kk;m4u8 z)!;{W%2vKwP^oqe>;}K-i>hrONzWeI)BR9R@B~&b3RQ6-*UWxng;rO`&a#-1- z4*ZsP7(>WI&N6#`tbR%UE`~Ig@riBloS^+l=4kEQ@csD;*dd!D||o!)zb^))vl9Ywk`i8%fTf zkygIzdgp+OtMThRea@wo&m)I+pih2{ucGO~%PO~yxxDh(yeleohB&?^e#?^S?i|@i`1NSue zXeXa`+_XckgxZgp&mUw~n)$3Dbf#bXRT1*nYdn(6`QTgqdcn2m!1*fW_NU)PRu299 znO`P67n@LJy3k$LcVvLCS3Z0EoZq8f2K{7lwr>tOWqW&|1$}V8EBj@cO#`+rFg?hG z$LOh60j1_;LbyYlnZmg5%Y1d;!?J@r*G3Ku++p4x0v&Qa9FKE=*ucFO+ z;Q>!p!7}CGWPNZv4>=_s$fN%N&jp9hG*|Fl{PF?&*>?LkUu~>^hJ3cl!&`wrWhp+x zyk6iFpH*H4|KY8`8NTSxy3RMdfrGLEahcI=+&uHSn~bRVQ0-|f<^32V^XghJ`7Cd! zAK1>BJx6c98O-;a-mzuoziW;4-P6m>twl!kM(%RzN_&R4ockK!BkK719HEYzzOHiT zNAsaoEW;1)E+VhVe2dSc$c4|K%VcCuYj&9#8@A9K4SjRa6H#zHo4WCP5_B&?l{uJu zGis2thmo^IkUifNkJL{pa>w{CT8ocFOMCtbMh801ezp@`=M=3OoA9Nv*>HKN`#9r~ zo+;p&bdBbi?vZ^ZyTUA@Fa4J;9FFf|BKX^$yTW{p?}Dcu9B&2J(uL9oHqVNO=F#rL zYp@Zv`l6rl-j&F%KV&R4KS7?w&HC2UaK7>uw|oH{0#m9oFhhN6_4|^ zY(jT!M0edDCH6Hitx`C9jCmy9sv2MrKVEFU%x5jIEnn%Z6rYLT>iOLoyV*Sl`if5^ zKi-1o?H8Z?VlupbmX#}drFk>YEuN?im}@PbSYh5kS^cEh?#aM0gYO!Xk7tf%Uo>)m z!p2C@)@(yIz)!y=FZ!`zWtNURkf@_}2PJ6g{w;lCU%V`N2u(CcV;RhI>;fCVvFv%~ zQ}m}h;+(;ny|TBkhgmZ@xO2f-+lSopve)lE+$E$nx7Nc>d}+a&87J}eoKb*%`6hkW z)cmMf?**Md>@0tsawq-_tGwn^d23R6c#U=Mrqxah<(U)m&pRmF9Dmb0>?v%i@tAX=5&60@z;NZANZidafFzc8Ld3a z?d_zsqC2_nNtHChO2g3_rk`j?)5bqo+;v^=fZ6Z5+3iaj=TYj}unSLi{oCm$pZbop>)iR& z*SLzYTVm`>osV4rzwJ@pmWRN#?sM{8hsp2|QMZJUr@X|TR}ZkiG8 zZ@5C?8;r;woW5wwSAlnxUnGnzv#eWwq;g1p^amA7I~vB#H`{jl%`2emac_kgF!Q4e zA75x5!)|T2Y_Wj38M{t)t{YqIodK0*bD?wyk&dJJLX|iQ=Ax zEq-_zn|@T|u(Zky##YT-?bb21@(?n8G~?fRgD-MEbG7>@Uv%DpdFFr=Uu0I$8Oi}i zS1^y)jth{N-}S#2EWf*BKjZ!#YbbwOe&olr`*M}<-Ci^A?r3KnAbaR{XUQI_FsBS< z|6$w$a}u(+mCvz@u6D0ttTl|anz8zqyxc6hihni6+0f`_moK{Vg8b-Y%8s44!aT-U zkAahe=;=J3@4(kPYq#>+^{Z&YZ{9fU(n>Gz3wNt&`&M8Q?%22M*utk~Nkj8g)~t%7 zN?qdZ@Ur%tTUOHX#<{nebIGL?W51yZ+wZw)(3H3Z-3R~7$jd6XO}Mk@wRawKL-^Wq zCh;}Umso-hl`GFy4Bb!!PU62S62FIayu$MXdRKUzz#5Bs!kxk3)VOi7<|UV!oVs2{+l zZ{R+NdlGn9#d|g`o&*oV$JYIuo1Xz6uYr%X;6nJQ=lurk#m&gYV#Y0=6JNaXQ(vRt z*|O`JM$Lm;;KNcE76`AhIo0IoDIo?x7!Z#8&2Ff71a@pMd{2M(xb&O3)WGvE4N zRW_XO6&(ku6JXr0l%3OY5MGFZql56ms}^q9&9?A0+`^N};=hM=2ru&(pL{Q;e4X)o zE8js6_C%+g&I7?t9@w1Vfs#%h2$TOwJn-(<|F1l7isnxMXEINm;(-LMtuYNt;(-Kj zSUlkAknJfMWzSXJogmn@0$Uq6-}LY`jZX0WMvbpgxUQl<;Z8W;oZwC2P~~~x+s0x1 zcN|Xf+T%Qbm5=1$^GH}z#Vq#=JLuUzC@k-QRbsL#pBE9uJotlYYd z@Q(E3c=G$SmYs7_ZQTrC?8KKA8@9~cT;q$pg1&qlnopvS*kbG?+7IYExDh`He<#s% zQ&{^=reDoT$szHJ=Fhk!Se!|)Y)ZgVot0z3vE}F2G}>^iJPi)P_{xO;J2<+t-W^1r z`Qs|g9rqgR>#_F^>bLs4P*1zws1P*DyBS-{(FF1-F!a& z6%#+>Ht4ktn!L(ld?r{DawqZO!W1pr?*a_>M zS+%Pd_*x#RGFs|^V+!vD$|iK&^HuB--2Lg^w@g-bP2KWE`x)$;pj`r^=h%Bn<7izu0)#9&mH3o9K{GcY^2H)It!&SM-qxkqFzus_E$(MJAJ(NDA+01f3c?GC;4 ztSh(|9c6>-cQmYDK^d2_pq|D|3x#w z&;y#uS8CHtKGkGDs`kfqpHwON8RjJT)6cj{;Ln2e60;zE9-neE2j0|OUE=MP;G-CP zG@}m&L-Xyq73LMlmRES50zJgz#6-=g0H$WjsI%wZcKL3~%x>6s&r>Fxr%)z59{0{M zKV@v&C@+5J@`z%3{0AADsUk?_Lh)rk9zyz%Blge0vX_mTbQ!=R1&moO2I*zss(O zyaufPsw*P9^gr#2NSpq5yCU+c{?}X)`HlW>ydtrWvg_&QHQI}R$&$5<*V?1E{R8%1 zo_qs}gI0WVANCIxBNt8(ucCdq)wK5&{cHWM-!Coe8VOML8_7?~zUEoDs%zw7@^tRA z-s#`8nCFqscltNAq;-wlNtyf)0q3BK_FWHe(7Vmux<=+xz7e@x4Q$%02-b9sEOI&( z3v-5__U77|m%!M*am7ZF>OA=$O0_$0C` z6l5=S)LFslimy=){tx-DJ)3^u<`Q^QdSfxXA-yJ@q_{8mdHb_@sg*sED_h5;R3>!A zcIk#L6P>h=HLN8%nhR^I*Tfp9q zZ~M-1dS5YUdbd0EwYPWmARoT?_#KW*m>cUZi_eS0)X8!gwSv*;BD<*4^zqI|yt8%8 zl+Jvs&*n|7eAXIYe2?WBzKh2l;6}EO_6PeAKVU4mB9Z~k#p7M|A0F?b|L}OK{=?%g z{ZHcY*gfL$Q|B>9$&P}4MU2DG_)-#kkh$rD>q@|n%7q_4_z^y(AJ0NA`+HsyG1C3! zS=#5#s4~s6Q61u?r2WY4vJX|yecH1f#Lx8O?$YP5FMDB=U7o;CF?Dw!H(HtZJCO4+ zY@z3{2lGyQKaD+7-OYJ+*4cGi1S7l{gjZ^u#^_eyZAW)*zW4HFLHJWJyU{Q8$V#7N zm=Vt%r+Pg5&U*f&dL`1w*fn}zxbVWmwmogl2W&CnPxi6Kw27PoeG}u^#F{zGcr-_< znH%nu1U~kU>QEnwArL%qyuD`WQo%@HR=M_|CFfEZujn$k@8G)CwmyI+^{llG zEQPcg00+`5`u%^x!$$D1_tH4uZ~VW&gJ4OBdI+mNT2ZS;K`wyAtLUAV7h=vMreVeB37YJZSt5pO@^ zg~u<+kLuo;H@K(Bey0Dc=_4ndIBjrTkabR7;km(}O!yiT!TKM(Y)v z-W530S&!wkVWVNUJF(No!#kJLc0P3X%#6Qx6gs^Qth*WCU}$6XZLC}K4RZtdR&_tO zt_v_OVQuX1`T7Rqt<<^*=Pt))EHU@*AKamKiKjo3kL-FKTT!y5RW>;OWAT&ZDK@rs zkL>{9k*_qK6Pr7rk)2`WqGH_K#F}2keETzU&coVaG_u-gU;6GL_&&#%knOA?gwxlM zormTT8=BQp_Y>@gOMx@D_t?4##BGj84ov~xQuw>1=NlUy!*=k!l~(stU>47{fg|~v z+VMG^C|lOip0m(A1Rn+~mRtMg_a^u}STUhl;}LxSEF0fp!`K5`MtPNOn@c`FTld+y zrh_wCXNzXg&LEF#aHbLU9{(Qtu}8QLxh%h^`q6op-|{^lUy%*dC*-?cm4HXF2X^_n zlq-*Wx5WH70j}ENg&;B_hU{yzWajt|Kl9Wc4{?5(;!W|9_$ir}x^eHP_78*97cBNW zitiQw+UK`qvpC2roG1P0wsKxiznOQQmtJRHS^6|Ju1~cFTgo%>f$07qImQ>yySsUj zvtKPX>>Uq4k0rpo8k)LY{Kf_kGXLD1R~gFp8s`-eM}Tvz%+Y&TfBt~Axb_x=uPMxr zHR5;T`cvU|W5t#_WL9m?&CtGwF?!->zRJnyo0Z+5$AsnPvE?_rU*Z1~%WrY}hk&PU z#%Sf}-s4?p-p_nso!4UN>5Xwcy^VF0Xx;A0w(fefV->VMirY8wb87xHU!(@vQN)_Z z0gnpSsqB;M{>HZ<1F^k+RqHv<+DDRThlh~DfWssmz6Z1jje6Ks~2Ls*2AA4 z{G@)MchzG9-RL6Sj_h;0D@3ySMWo_*969ZMzp30gO7(Ybj1wWnI@+`8~ zpJ9yFIF@4@z75?pPQBkwJvY8)2YVPbzbc5>Ie_m0Zac^FT*k2lxWY;Km7U~Qc9P56 z+1p8eWuB2=*-iY_PIyn_e1kszneVsuXa%!_d39jI0#kQ@d;$;4=18W|JM7&i)9EmG z>)wmp>4Kcv%-OHDGJmt~N2$Kp7YTA-t>HO`eBwi_+}l3l(em#tY?Lp%9UqZw{c3nc zwAVXoBM3j#|NhEo7ID;~dsg7=y3Kjy@&?bn@EhgB8(!{^xQ9N~pHa4?xyJ6R?>Tke z^dWU_WSxh;y!7=7e&8^D4W}=)tF}zqiJz^=5f!!L^rM*4~bqH$Ca(9R%Ox9<24GU>91r=3WQRO>mAS^Fd@|e67^C z>B+_9Yz6*|sR`W(T>gZO@Z@4($0nAYFcp5gjP+&^S+E5hd<1>ntbrEMp8d=&UqD$g za0Y>wxqYPiqu7ieP)2@wa!q6pP3HO8%&VK3U)bWEYbe_ubiP%P$R|dgW^9lg;z(q# zALqYvi#0r`Sm!=X@41ZiLE!YmyTCqL_eX}Y(=-k@w&8K~)Ccf=!#Tbd)nBqGo=eWQ z4IP8?wSKrr=a9U>=osZ_(fJ0oq567nE%%3gSG$9mr;6oC*3YTfSIPn0$~?OoJ}&W~ z57A+YBTR$Gq|X#f_ISH5TFO4JiCt>Y?-cZF0eWyt?tG!nAYBhRQHqy1Z zE6sU~b4t1|x{f;7QZr5ff1&6w*cV+veC1==%gjez1T}Qi9T4( z9{6$Z0`qr_zX4qlVE#+~P3F1caXv$ztmZw<(KhO8j)uXt%>$DCCoI{YV)<6S#_T7k=!8r0<^GRlX9tNhQr{oY_P5?g-W~^kw*2+MPwG#(;Tw<%VdhvVb4@uE zohxS56(9o&I)ZQJBWv@K1NrQo7o_lPkn>HC%lT%Jp?iE>wZw>-3m03?ydn}tR_DS80rbhM_~K>XL!%i^mk~*Zo4iEU zT`8)ocO2XY?9V}-EGccy?e=)Y>-b!;Gzjd#KWPdyD3Aa1hQe=OP!*S$(`ck>hCJBdc!PCjG96c7Bq5C$rAk!Vpzq^QkZ{SXJ>38x7 zjh_5(U!@2B*B)HVHQPNIzLjoJtj5X2Jh0>N4l@sQHb?L^0H+Oy;MvyxDq^M!QgXjjS3QP}){6dUU@R6-phGsJ zr@f44FKx!xL2;jvV!ShvFY$Gui#TnqSDfszq*nd|dv+5s$pOaE6`qnWKiW9x?> z{yFkxUsHCsH6LEXcOn0u?2r=XgQvTvE~WdF@*gaj(^0gfwBsH2<@bYk?P16U>B0I` z`0?<&;|Eyu#MHtg>(2TZeaL_FGw{p$MCSpXBd@mNjjT9X*6jzKM)UzbM<-0JwC9ZN z|54l0`*!y1DS%_pW;;#@8dm>A!t?e$d+6k8K_!z>Jp@mbwrtcoQ?l-# z>_c40dk*64Gg*r_aBd^d$UO2kGRa}Qw)fayif32%`}hmR(XwOW?i+3 zby9%3mBi?ZPr5=E>4N4>&XCpweR~J@rlTwMOzVM`RnE{r+Ut%UkRLynF>Ry|BmJd1 zC+)ke_IJ^~v#yHvkHBB=bDzUu_LLQKb_ssJ7Xw#TRxP-!a^; zJMX-JDR?>-UE}_G!8LBl{lCn;#yyJ|kOTF^p)9_}y=-nO?{=vS+?iG>d9&W>#4qQn zxC%M&JT_JdwtMlsyI7<2tu0`#4Q6f?F)xUFo8c#>&CUFgeEEi$wmIPExP0G_6BjT9 zeRC=2U3nJ!19J(ST!p=TB%{*Y179ePwA;2S^Gm)9NAl0xx<~(Q|ETnz#V6P!$frBD zF^{b^Rj*S%O5J~+h3pYN2O=wU=a_IU+O{KO`fvy83f6%40!xtj)R(xRDE#GfvBv_O z>%Um}ZeSq$TV;23RIwha8e&Ax;``r-rMVs5pgTtb{e98DBU`ug`xAK7Kbt%g%(a_h z&>wqkCC{s@wUy)mF> z$;T~OYTFy5uz~(8x#;n=u-S?H?A!DUYz_ExR2zJF2%k^A(>U_r-rxrBdj@xvJKogq z_59}l=Zeu@f98W5y1=)&=;naab!5@rRU35vCcyJbc%laXk#c5>Uw4^C7d%xJ`5t~0Wu6~S5KCFhG_zG!DKd=l~_3I1J1aY5nN2Pa2EeP37l&<4K>wZ1q zPP`?5jO3loQ))wZz!0;{IO6q^pC|hqEx#)`RnG7J>#l40F*cq5g6muEV!zVQ{lr17 z59zPfX+&6CN0jeXWz5YZwaiWJafUe$uCjLSqN$;dY_heC$^Yv0R?dqW-uG}WrooNe zrybz4_BY}%y=K{xdZu;D?W~j3Mm6o}efBVpe2UK0^8)Crw%Vhy(LrcfBp7&Bb0#rT ztS^HD<87-Co0sg^2nW77wLg>gwg1uZetaGF;Rq{_*-*(SJ)aBC!i-Tm*5U6T`s;=9 z=P&a+I28DS!$@H-W$5?!W$&fAJigAgpn(nNUE!(oGX^I%oRhVmi4Et*hKrv;B1it% zmG}o{yJZi}VSKW${AHX`M!s2k`g`mwgL}E8s|%*EcZKZeY!4Y>uV3u-sbqotRFxV_}*c3sr8R&o8laRPLS> zD~9<~^t9}khMSlJxrHs8t}!BMA5U$mAL(k@Sc=?u*=RAES5G>Kp7c$_hvzPA$-xGA zB)ibMZ$`2Mosp5*_Q=2(e!t3j#*A+0z%*j0``G?rS6b~4^09f4B~O2$d7IVr!16Z!%^>ftkxw3fu!DGK;pmgg z@DC{Wl%M=N_|wke`{jK1`|x{LU-s1p>wI6m*4y`0_)=_h_9oYGM{C-(Lu!@pQF$LH z^NIa=#X>D(LYB&9jd=tE*xFRE9tk2-Cs!e~RFZN-2@Q(Nf+D;z`ec7WPsyph! zyfY2nxrz@yjlMq4g!OUgNviG#+a5Bc2;jGXebv3X~CXW0dKEXU<(GODocA{Kodh*JCoQPe#q$3~y ztCh0|{h+va?$iv`fbT0eU(AF?m?3VK79bK}foOdDrXD{JA9=@V|e6(f? z(ANsJNzC7|)?3_)%X0&l7n@Riw{cjv#wS~imZ#n{S{mLZACV6oIqb?t#ZCw(E@H(B zz=QBtif+JX)#3vmMd0PhRv+(i=i$5Dg?J)1`ZzIUZ{=cVBI7>=hYjFUF&|oMDbB;D z^|sNB#|WO8&blibz8nu7!oU#TM0|S%cEu|G-)2Po|AKZ#_M6UBqqhIaz`I4~a{dNe zRQ{HYKf9_?@E>vw9D0OYw`xncXkGY&O2g5=_OZqJ(Uric`xb*4`H@#x)0_OZ*7=;v z&>HjrG}upjCb1w>I435XTlCz_Sw)@yS<5;=Ft5c|1@6ySo=a@9i+dZfN2_}kwrEb~ zb4T;fM&?JE=f}1FG51H_;x|9#Ph7^HCOE2Qe0fWZ=zhlb8N9DCIi1FOy+h2(&^+cr z8uL%`MY3fNYllyv33GM&6ZE6suaRR*?_Kygw1+n{j!bQFGq<;mGG^Sz{Oig5_A>Lf9s-xb(Q3|d9Oq2sXT<1xkv9f1*zMrXaC~$D?yL0Yu;)^kA64D%2UIlWmtL}c^q~cEnCN2R*7z| z==K^sfsWofB0etZvrnMyG~%T+_dhN4n=fh3BO}g3Ht2j;F8>ekU%6D);v@MkK03sH zNCW)`H3y*o>e!{#((=2km}`zp<3_w@i#HDK?Rau@Tu%7=dAx6T$|i(2^GiOg@I-_yr3 zjxvp9B>y#*3;6#}#wtEsl6ZC(|LgIy%O9k(j5>o}zsM1F9FL8*c;K8k4>Y`tA9jy# znHQge#ySvQ*hrc1u6oKHBiuL8UH~3yz_<7qO&!UI!N`GRp056cJ!j^za27z% zg`r(x`FYJBg8zfSdmnRO_v;2ZU+i8oyhHSs%&_DIaz=bFn2DE|Zu4Ld+AN|!bobr> zew|zROy*ap=vDcj*?lJYBX`M4ZRwVo^NjU> zqOWtnO*(BTPld~B+f~b4SQq1+&A?FV?;TQ`;vcp56t=?}&y#f@(%#ic?M5qiN4Qb!ymXP|jF((>-$lc%>|uz8!ns91#*kv+ zJf-%hykAPptma<`TuxBCe<+Bg^4uuQ3T3-eYoA#twr#WSUg8AndzU9=Sk})_L!`5FN*zfSg<%w(H~e#{bzie z{_yY`cuMqtJE_0d=)uMb;iPq zF=VZ+wXFC-xh~|pdWiY|<20Y;6VHT4<;Oghs~A3bggUPiCsmA}VIy#*bv@g+sHl@I?t zPb}u5f@1TyXOXqnw|By=oF%{0%0FQ1Z{?iO`N?``*NUUq=*P&RVf$c`{dvjo%m`8mz9S3Kxy?eR-Dw9`)cKwpd6@=(Xd zSLN~848=D2DAT(J@7nKFYyS=ZxaLxUHJ|!4y#jCkllr@c-OBteG3R6NT+9EV(C-P# z!@#b52)&ULn;G{b9%4a=S^EpHp4d0jeLQEWIfZwU$8_~)u^A8Y?sneoZQpZ@%w?bGy(7b@Y{Q?a8Ybth5l;g_Xy7la}M%Mcp?AX zjF%{Tfp)IVy~`ZVxW3gtI%^Tn!`5?bPWDzS_$@rD51oAo@_$vLKgHGG-|m%e{@?eUZ(Yf0kdDxv4n436yJpVe6Q* zO5y)`=G=W}_N`4pmb$Rh7dgAuE}lE(yk*#|bFo=Fs#ZRj6Il6Rec6hRpR(uvPvU@z zy0A~ld7DyXmexEj_6@Y>xQlhA1H08g#=DrC1y?OFE7^Y#4-aPE^@9dGpuu+U-R2zL z--)hQ8v*eUJRXo80H5tPSf7*MrG4Ws25#x*YiUKV|DHLcdiU|)V87-AXX-TVbJU}^ zln*z|{>WAE#3+|f>~h7bA}z>*3qYy0L`IvAh!(zg%;(f!={=48e*iSZal*V;X~ zx0>1$xgQw!u%A;7EcX1@dMb=<5>D{C5B?eo4mb9U$7AWd&w66Oi;V1wCg$bVF_#is z*3F77lmA+Fw&Drp6Mi;NKA8BPodX+7cpAkRg2XHOv3CXI8OV*1z;-dPX-?}b{%|k| z5BY>|(^)5QzX`u+G3Dzh^U~%XZ?Pp8`qR%oi&j52Q<&eH6KzTKl5MN^`p7Sn{0v&{ z{2aTIGQlyJT%w}U+m_8dsA)MicnAC5CtL%Fvoe}~PMtjH8f4xW;KT(^1~I-znd9@3 zfug^7L3h-N9~4vC9l5fB_o{El_WmL^+JTNx8wN6|S+apXR$sM}{oy(0V9IQ{dOLFU zHF!ldZiJ@n-(=eF`jB&ax0QEe*XUjL^66i^7@*!;@V1T1O_v#wrbmpH#=5SJ8}Sv? zPr&|WkJ0kcfZxWtE3EnF!9TMRKY?Prn;rpHab@9K3;?A?v)0&Gy~Z1BLT7%tO&?EO1EvZ3oUN$gn}#`O(LK_jcu2!PfWiKCw2&4qx;WzOT!<-8!SclREa?()_dMSH(YKGp6bt>~gIa^O0N0?dklhgY~J- z$Fr`C;}Dt&CZ`2ciTMG1(g5Fxk46yBr1gs8NP>wz4?#a0zIeaf4}T~&L+eei1-oOY zU~=X4z!cgOd&Us&Y`9c5q2p8xXkID)dN`!;Q%oH&XXHf=g1loQmx ziwl2O-=-?ciQ#KuVJ-o(C)ydxB9TJz`mzo zGSCTsx8T#W0Zs3X=UGQ=bUS!B#J&)FdZ9Mzx1EfQss<;j|Hq{II5XC_lV3W??NHolY}Keg9%j!@??;!XU~f7?#M2NrlWN(Vx;Nrd-Z6$cxGRh? z8O9#%qrVS6jrNJ5!@v(O?Ul}xo)g{e+-vr^(d&5Mk3I~u?_sq6b(}HSF?-3|*+YP%rOuHoq$iU6CBHq^J(uQ4f9g05A+CwVqb?IX9w74{8ft?C=< z&ss@m7qyl+AN^(Xmj2(39jiS}@k7;`E2BG{{cBsA-Fa5bzIz@p>MjC} z(HhGp#^CA~8iYNs*nZ3J`o8>(j*9v4wjaIQ5C8Kk#3ek9T+&{}t&Hi#Tvtf(9hxT& z+RrRo-YmXe&KOVhpIFzy7>Rd?)R8agYsR>F2|kZm#A?#-j>0~nG-64*q+o}&_qFDl z+K?V=1->3$W5#XlQEwUaWF7ZfW_Dog%r@aP7QJ;2#_^{+FqPoCa?INrZvaq87Sc8K~v%DTcZe!G|b*FEiL zeEfxIcgehn>p;@1-W6dR-Sr#iEyy^*`IiFR)V`lsBsVxepS(6!AK+Rt&ItAmWfB)9-Vpyw-)JuZI!&Z}q+9pv|%!gxDJ z(XqEO7c^hgjy>N>eFLnv>^9!w9s7ONd57OWC*JQ2{Qo}e%bnPd4Mo0)<_q#Ta-8Qi zg{;@XV*@sf%7w>IDcAVLzbA;X(wUAU+@UcC`$xP`xG6Jq>yW}m8xFzyld{Flbw*}w z$KY{wtBK#XX}vl({=EZQZ&th9O=GZcRnHn*GC<=gHNK4#`MZ8W-QS=qBx7|3UNTVm zp_=|THe)CL488l*rmjoB=6fG2R=8(EC z=N42h8o1E(W&5H7vCY^6iQI^twr{-O+`(r(pUm_n<~W}1>$b$)!Dl_6MZ1d46Mr)* z|MRY+vQNe$^Iso1D;EIkKZu2r+>#B@ekW_XKNzEYsjQQMGYp)ExI4$fJF@HN)VJyo z3tPb6!FTcTebgyNh8<&kbK#*b@Q{r!jjPnxKjCZY*R&<;DN9CP#XHIUEJ^g!-VqyR z^S`Y-4dO%Y)pKyHXPRq<(UUgOdg;D#4a__2<#Aq~+dTILbSVuE=`>UYlV_DLaULU&J7JFK}iw<}pU zu!p!uHuMJU!&$Cgp+}7P+&&+g|B5D=Nf{f6JO)a;_YCJLl(DM%Q+oW7aYsT-|Or zbrvRf_W(;DmLz2D)SLXoEA(%wNUt#G!spIzCFVakZ(7l{)I5xAy@&Z$LH>{}oK5@( z^7S6(oW6Ht8jb(+V`5x^!R^5piX2%3O#9JK-3A*oy0Cxq`q?KQJ__uwQ5~c#&*7 z;dIn?K!=H`#tYJqqG48Ub|)PlC)e2f*tn<0*q?Q(5xIr@lTmDx<@9|IK6BePvGty0 zh;5rZz&=T`ZL)xOyx31Rem3yCCPTK|Kx@u#>>sz~)>HmiFJGkN>(~yBZ6okDJVPE9 z{NrAH-y0dL#+b+Y`hmE;vgdRguZ}jr*>($GMqa2O!PgH_t~SNjid|7YmY&FcaIhz< zFx#?EM>B>SSZBtD#`p9M>{QtSfvODB^{$;!!e~KD1VmP4Y4Cl?raV4sevxwtNlZASM&lp(od-x#^)GXBql2 z&n{%1X-)AM<&SOZ5gI7lmU+&;;B+5$ToL-a7@6bhom*FhPt(d(i0r!Zeq%-zHh}in zW&4ZoHE!okB`3YXvqE3?LWiKIuC-xdT+2CMn8&?x!{N(f)^#52xACl}G=H>qDk8^x zF>_h_NGT~h>io#yAU;9q(=zOATc1`T!_=>M=tX3|_&9DaofQ&(ZF|r`-v#K+BIH4s z_pdNVUxhUWug?q#_Ae`pM$dP^uk&2rMHk88;neTs zL;vJXKSuxb;NG)&=4V}$waN@hPHWr`Airc|l#JILjQf)c;In;BM@al)@Q&^cjK`<< z5nr9rHeWVi-zJ|UIQ{Fp;%&OQXYbSRkzZYsVQR~>^sjhD_?hF3uRkgi`b1-ppF{e@ zf-zx(6#|nD-!jf}U5<}HzWJpOi=l#LPR&A2TuTeBV*k21GqU&!8AjsHVD{6pT;87j$G zFYy?XvEuVfDZ3PV&*pclJ>x8Fk@&i2O`_kayl?Y+1AgBkZ1PT?Za*tTyksQyx8m7f zvc^`PLBUIcF_87-*(&T$8O)td{EnZ_aM9_oZDkbUPt65jj<$QYZ+}uXdLAZ z_S7ZUmSb}YmtK!M6c_`|(YXV79+;4X5hTt;knwn}PV9M29?Rq_}H?zD1)j{c3)UV?CJV$_@3R@3{YHV5k4+a^`F+XOXIa zRWVxmKjJqwWfgGg_n{f_K7`*{2|v_P@Ldc~hzIO`C0Eq1`cuDIyK_U#<>~6v_G88A z!~K)MSOP75&`{^&KZZvP^n%-S3J&cr2^XdCiY-qBgXDgJ%_rT*S$y(Ka3y%;BfI*0 zWMdn3Y@RTJMkjy2M7iwdGiT;UF9)y1x5w>hXL@1F;RS}}XBIyU#82e)oNe(tzFtfB zw{kvGv+Jkfb1;0i#Rs*N$Je>Y0p^Y^tFkr?4-N91ACg`!!4G4P??z%tE`rWu zf#b6)xkvaiUrP#d#g<`3(D!`kH5YkuEBdn_Yjd6EO^%B>)OWOniv{$VlgB)d>L zop8KPis~o_2>7}F^g5oQRy$vl&tg;mphZjJ&Kn+z|KHeC5bT2AwDhE8um3U>J%i^2`B0pr|SGKbu?$YC9!`Fit zf>kYo(}wL$>iO4P*HUtLQYiQXW0d^TL0@8i4JvHu-`*uuMD7SkpYu0fV+8l-qNkY4>J#5d<8$AF>*A1mRDM)_ z=(*qXMut+5NqWCDYYyjMjp)OP zI=A*o)CrFarC}$j&X%mXCi@%F2dHy!y7hd!%DtXZmOS{0`p?N1{^RB0QKEB8wdzk! zu0PtUznt>hv6WBNA04_4JFH8$+lYrXqKnkt(4_V}msssps{Dea@^HNTHuZC5QhS~; zRzJlmztm^NSg)NNr_Z2?`O!y_%b$%+{05Ik_xRpI+c?F3#{Cu#gRgxxX`OOG`)#+< zp8ecu^Pi7BD9ROwacVr{EqL=)o@4QO0$&qCyOv=Sz~AHbY+%x}@Tq4b^=wGeGtb1% z_lE14ne;4t>e<;m^RIbtoM$5Powb-TA;Fsy(M#Bt+EZmMZmp>vK(8UUx8tAM-tvoI zOwV%Vg=TG<9QwsCTJDry+lfw+eU^uhLTBcS(O3QPQDma~{+#yfy7pPDYv6nQ+%t*; z1G3vcGA>3>S9}7VZMiQ$i~&sQTkXj{wcFJGpgYMw8oq$@BO~MRdM=LpHUzI?`z;v{ zysUY*OaC_m?+IsKXdLG*9!*0n7=1#dn+1smS; zn2+|FS3cf9an4G96}6{zyX;%xK=3k$*2y<=x6>Qix6u(wC#FGViwj1DqyrV>r1J^r z(a0{^*-=8C6=&v=An-1seylHE;eDGwl}mYJf=6Y`yvVas=nyc_*}x;X zOje8J+~|GaBd-k)gCvQKx(K6O>d zezN;dhE4rEoD7@C+36G1-r~=Ard-8>MSE6mV0??da=@kh3EC%gj5WLZuy|v+S)K=~wM=o(msXzY4|736A7G zA7DLauT`(5zP*lJeIoYAVfaz+xstb+-NN9G+dlGsUfbZrPE`nhScz z?IsV;HuKD2uhQPGrlV?#s)~lA$f>Ba*Sm@&5DgSh(Ger zij8_1zvduxm7jQ__8Y-3coe=g9&cNANc-?#+#ZKv2Qb*rrBl5A3qwbEmaJ2&Uq8in zIou_yHMQZnC={Wd;^Y5otj3_uvF=aw^DO<`g$}a&;>>O6g>HA5#CAmgK%K-oWnJ<* zrG3LG*oj4ndV@Kk*QonPVwdf9#1CHo1)*0dmu=xpvJbqiu^GRH$KCjJ96LE@!W>LN zz6uvP@TA)C21jt8{b0)m-bNeWKugN^bm9yBa{_!l$+Hg_>$je@8=)_GR?jot-~3;A z5Y0I^Dw;nm_!jtD%E7~O*6lX@UeDN&6&oS_uR4rjP?FB9e&aiEA08XpK;2)AOxDTc zLQC*_DYxTE+FHi*AnVZ1e!}BI%XmI8eVO(-qj&PWo;(hn&pqQUoj#xPOvWPLUFWm# zn2;5t!h3Ugp2l-q4t4TFI4^WJ&wiHlte}%u@eM9hruIs`p249^%DJT{ zGv&{A+bQ2_yBE*@O53u>cRAzpOYvP^%2R>)+vNkAvMC>y7^iS!`FGnd2x(sS<=L(w z`7I?+#l~<=L9&6FWfqVZy4)zHemh6 z3qyv+1?;k~N79Z{IJAB{YgJ#kbqViQnae6Wk232wHhzf*-zUFQ{$tlksa2VWvebm_ zewQ<~*6VkMf;9%VUvTdLz0W)iI@vc1JFPN}U1k0fV$Ry)Wx}m=@f>GXDDYyxmZ|89 zG=8&JyKqpjZIYgK@zv}tc6O;v$Cq=~m#&5VZYQ>x^7B00m$15RlHZwL`&jV7iMOsf zqa~H{efPFaQX7E-sVyz*+a{?jaAu#DmmZCOpB${2_~*6pI(M60qc1;}sPpXVN&DBe zO$wBBjlLRAl&$F+`OWaQN&SPNiDQb5ZR1utwv7+oJ8?qrzKMaC`m_Xo-=}3zuzKQI z!8H@j;7=yHc_!G*&2iWRL%Kx+HQl&Bk#_evBlR5<8mneiPYTTDQ&K%Co>w4#zp`=^ zfS+|b+u;pgXyHAcqky=)IjL68suy+*3F*#{ot$e?KM$hE7CDX3ro&xBtv!tv_ttp7 zt^JKiudVsf)|%>xvNMa<_}HIzF_(gSf5p43d30`MU8$d#jqPod76#3ZfKflO-sw8h zfF0n04#j+|yFSizwS?#K*~MpIN=rB=wI#fa&)(FQhM#u%uY0@gTq<@h2<2$f*%T-G zRr$BDXFuOYZc`U~H4f~RT!*p4+1rTZQGWhl&S8*~quWr~rOqa23V9fjHF|b5SGhTz zM=&TlpXC{@#BW!Vi@Gl2d7UHJTch69)MM`<;(~7;a=K~@3}Z)YO?ETqJ0rXK{{Ba< zU%mg<+Anff6xNk?6g*hkQT?WKxE1TM<1o(-^DJjY0r}$!$RAhzCh^znUM0tyV9421 zvq61(_pI7bkNxNvY($*Hjfl?2RnxC<>%QC6gWdhU*a=4H`7iY()Om5 zmh(76tTk)wS1B#3pF%sqG+$`Y<@wQI?i|y@nLPG<*5#fgFCj70-KoDJd!?zemNSWo zx!ggFuP^G!EjInc{;1r;nXnP8?}oEqGJ(1-;>Ha0)yroZ(N#T+Q8m~#Zth!j4<=VO zcIMlxE2^=Z0@&n!+PC0f&5%XAK5_@-w5M2e)kxo5C)>W2^<-XO$xZo@97o!)rE`4j z(eOTTB{R;J{p?v{7K4M<0_yfQqNA~+!#R|}SF-Paiyy2FTX_uUYftiB_u)p6(-%{$wzsKm)&$hK<7&RI!v4U9yG}Mpi9aP&irgB^xUKnv?YxtH#hi3s zOAY5NJn7hC*bdd?yw};efRS=UYnpJ)P0c>?htwbL+HxX0o;M_(hbEqDe+Y0Yw&N<| z-!s)9QgeD`Q*AmeS91Hd% zz<4p^nW-}Tpep+?0rv!aC&h{H<2}CU^?Xm+RlQepJ|*3-=Do{h>_}nWzwb&xE~T)} zG(PW69Qq-?r!beh@=p7&rnLCMrw>`w&OFh$&$=r=Ix4B33B)gIk45;(p|1@YCFU4@ z+ilK2aH`FJqnAexTx5=fhm~_ju?Y?A)$HrG*t~?YD=90QIQH}N+3Oa(?<0dgr%c~% zxDLj3yM_N}^HM5BgOP2{kk-GV!;heWpY^VAd^vm-V6JLUv^X&*0?fq#ah)p5XPx;h zI1cAH{`gzY?zHne&@Jw>>8|g{anW#5jx!YCj(PZmyvb8474Kig-qn8ja%fk1&)j7` z+U4#hz63U@qWY(NE<^t@2{? zE454iF<06j8P7F#jKAXgUt+IK`D~EkEkyxiTT#Hl$H~XVCxuTcpEN#QbZ5;SZ*!gp z|HXEli&D(E@#~tsgP`lU_njfdj%%H+c=1g3A0EY4v3XbjA4CQyXK5fUzOT^Eo_OG^ z{7V09UyIJJ(Ki8po zgfDru;?RiqJeRg@f0g?tay}z><%If_4KeLcP0?1AT zoXjM+5O)nbm`OnEQn4b|wPq4fkr)sGWs^(-w$^CtQ&DWAWCCtPskVX=D`o(fy8T|o zwJtEAbtzgGtPq=!_w#+0Fr?V_{r&&BuII`;=Q-QG-{(HtkOFTEue}f23!!ss;0t@q zE*xuqPBh4;4ed8kU0?8DG**7qp|S^*b7Am&27l1;U*)^XXCMxF+gq!$tz9PvD!&*T zbIb5#!;g$-`Q`$ z)E9@1RvVvCH}rgT=ixu!TD7@wv`Galf5!daXf5WJ?$rO>%im1xnYgy5XX+cR&77K- z-BkW`mzJ_VgBQdKMvSh{U|$sST%W~S2Ay}&lXVQ-F)tqJktoLHv&U0k^|*_5U8LFf zoc6jrG;`7!ZMpXrxBZ$mnYzoc?8);u&-qAn!I7hjgahC%LWjlK+g`*t+OW@7XL7c4 zH&%=}82J~oexB7}<^`ZG=!?Cwc4uA8>H=Dp^+0GtKUmhK8i#?asvg_mt z9cPn%F?J&R>l}M0SaKi4UqAa-lVji~=9Z~?F01W_%G?63=arn=l;G^A81#ujmuB!5 zm5leed2+Zr^*}$-`Cgq56@?biHy>JvzM`LKJQeztx%9i9I#+*j<7Cm$<`4Q3i3M0I z9@;>+Vopo+$K7y zkN5>PO+_EkD)%;*o}Z)d!NnmrIq#xn_ASM2qNV7#gS~oLRW)1XpU?GY+21aHKQu}X&8-5JF`f}pV&HjG7it*!OuD@KV zwOR6)nX^Y1ex)@E>SrJB1X=)obe_Nb+w-8;T+Y_>?k|~*ee!p`uTC+zqP@||FnAvS zRWbWS7KBEAUQ%g@!Hs!mLZy7_{yEXMZKRJfrLA}KU-vO>wExczZ995i=;Fb1NxPOi z*XM=y44NA%nm@X7BfqOiAAil5$}!w$xD6j{&Sl-( zQS9faf~W50oTN*KFc!qNN}h9d)(~Sa*6y?vGEY;JwZ1N@wQ}f!oACdWeJ0qyk>@Ge zk5)PaoM&Inxm28|Ks{BHo*nPibygVE6>D*wY`p|>6%2+=ndFla9Vk7J|u3y=lX59|kT2nn`Ye+$ zRz7k?AgW(E{VHLOwdANpA?~thJG8sTqKiWbY(=EsQFRgEVN5Xlbl{YY`V3g?80g^n zp`7lfLpE&rq+a^7E5#g#WW2h)y-?>fX-z{ZeLEJvSL=(eKrRP$<*vqF57gDchufK( zdI?^c3XUfXo*J4;Ujp>y1N6uw&hJUEE;{aK49a_v*1if}RMJq^FP9 zJ|B51`ey%G^x&hnV*5Wo#w@@72xOmg;JiCwl73Uzczm#O1~J(R>J|+JM?1dazVD)y zHji?S^0vVh$Vo-0y{94FaG&7B%Ek0c>&1#Wk6q_vdwg;o>9H}VHmR)YE9P9HcE$`# zHjB4evx)CnNghvUj7L}W0p5M``SCwv=!qTL+eN$Wj5o6R7Ruo_b=Ye@DgTbz?(n~! zw$Bvt5i9g!h;JYp(!X{L(Xf6BzRjne&hf(#X`SPThmxlJ<@lX3Vu<~D?;JnuMVcEw zeAJ5{%Kj;a*iGf-Z}G19q2h?a^fbm>iX*mj_KRfoayNc>8onmwzEb>fF!4iulOE}c z9_i-B4^JUxSWe8aj58L_4EwAh#1mtzZTS;1#4Cs)eoX%Bh#@LQsNcE$Oq1e*{C-t& z#J>yd|#dClHl&b_tRuUGSa@Zn?3#wM*UXXBLA8; z=B;<17g+OHz-MVJ`;SY4I_tIIJ7TPRrgmAghx39q1iDzJ@YJTNC1!2a5+9GBC%_Zr z>B5u2leyLe_l{@|bQ!IE;5x60z7^cg{KxIbu||_UPs`wSdmKk>c&Z87=L?B$*u=@p z-no7+^M*}-{m`uW=n&JgjL6=PM zoFaBM06QmKX$?eArFAju>&dHp%w13JMp{44B8mk~;akWZYYJ|AtER7&vpQ&LO-A!7 zGn;!ft!3Pq8AZQ3u=Q=+OIu4b%xiwi)^85)N?~v28vjc*tnZEalcRHQLhoaHRMr{m z_HEon8Rf5c2Q^2HT;3))BJrU04t4F! z)xJ=BPs=Xm*BjsZP0jDbV>(yhExtF;7%}QuaO$=5L-n>V?fn|}DOvRQ)wV^(*2$U+ zNcV-oRi762)E^2jmbRX-CifP9OVRDYrlPuFQ~#l+=`hZimK;k5v@MD-Nb;#1nGKhxA-0UP{ z*N5?2k;BAid;kvd<|MLROCD1SR z=`h+ft?lcFu9(<#0(^6mKia~6YTDO*vB}X5*y|v_d+_bFWxjKNG=ET^=Z2U*_i_Hw z_UUH!&J$_|Rq?;!gz7=~q80e^Q+!u_G|I=hA^wVwM&(lmU1D*zOP|9jyOZ<6>63NS z!r0!f#BtRZ$xri1^q;uX%fz>v884;;V;=Rg|G?qHLmS6l#=1`OzeaxKxIkw)=zJ*k zo&HWfBGAX$9IP6)rC)T|5w#PWBBl%1QU$UjCL{asIl-pL^+9_Lw_>sp@{3NQeTwsB zbPue2r(5ZN75{br>$iQE57Ige@q~E8zX&$fD6J|jtt!}bgVMlPM?Y(WP4h`pyI-kpOi=rS zB8$h=y~wxNN!SkdCQhT@>WgPPmYOkj(~uGSybJr9;q1&$q)zpcFb{tVw^{9cYNN`GNsnh?pSLV9*_! zhoQOX`Z8z#glRtvenhh_Zhg9Y_j7)y%ZGPnTm-+B`SeE3f$5IgIrw$44EE6}o=E&C z0UsIabk2Bx*4A}pV_2I8@08(_moT@c^WxQRUf29O?Wc+Y^91%&6tVs-p?Lu6Ny7J0 z^29QXeGl>3@Zb{0z?9qi0pl&*J)-jm&(t^!*-_aaGmee2*UI;Dq;?2<&%*K2)>xKl z8%(*u`1QKKb1|{cD&DK`q2Cg`oL?^=Niq1`UQ0rwA1!VxrVhq+um0@)Jpx?=WKF^56_kMBAw^vtlC zp)KzCd{w^BYQXL%J~Y;h{_rn)wt4AU;CjL6bSNZ#*lFIw-woB~uzhdBbHShLbGuqYK`8c%jaHtrG`Z%ZbkVte!V#}YkEi=4vbBc&WVe_2t>>krmmyd`Mq-jk|T!KRfZC9U=NGS{Q)_n_rZ|0nT9mnDn{o_Dg0>udfX;)9JrM_n^mRL*O0Ri4zTcBz+UlH&cGhT&VPI zVko+oIaJ%O@cUuvlTAtS`&Q1imXCC7(Do+_;J?{i0L0l{1CaOr1^T9Sa5ePr9_++X z=wzL{BRe1W_p){XhvfGYV7?OD)(yVifqj#03Anc9RP4lQ*az%NpJmvVW^Br4Y)dZx ztJ7@Dj_Dtcs+MiJ>cdfC%1lKb3}uG8wq+Ri(SEY;DKS{hTp}Er4b&T1sGGXFioF5tCSv{kC z1Mu`-JtJ?!su^V)n6vD?YDQ#3t_j-f463uDP0agjJrurE-D`@;d7L>$~&zvagHzlRi7!54 z-~M0hx}1HcuTq!iYrn#8oe$hR*@+uz-DdM?#DuVaW1{9@9dd}hNht2eQ)mOyw~xrGsEC_yPg~u$9K5-e(9F8-1ozKI^}M4 z-=A^cf9bxjcgx@CzMtsoAYxv2Kki}tu71de8I5hxIAS3%s^5t#%(;q3b|YRS9iTIb z^?f+JIh#E30r>9n4dAPML1_i{*^fWyZnFAzhTTd{0)3v zh2Lt>r)PCBuX(uD|2*tv9yWCX|EuEYeRw&ad|sZv61SL&-I<0Bs^>fUb;^C{|6#r^ zFKL`~C3a~#_UIGr5@V&l?bxuuiAx97^ItZtia4ysNqJZObyPV#JAwZbDRUonV*C2Y z4u0s4lZMTY?foU^YtYX=8cTP9H>8X5u%CYV7~sG9D0x#KGtdJcx&3<r=%vhu*?jHii#D8}(DzvYvm^X*uO z^xVs&b&i8PPg*}S1-2yqH@f)fY1le+$09Ar7) z|Jyi-<^UDL)mlj5{B_!yv#N`G?<40Dg3soG@$tw2Zy3HWgjXJ);Ip1!e((u= zbm^iS__mt6S~mCWNBo*|7ReKh=eAB2k3lc#$?M5ejeij)UZ}XG&NY96wOfYqgf~9+ z?xd~9e~e>KH+B1T>z}Glt<<>;I*VZ(b4G{pJk6SKmDL=JJx6pjXR95(B-G3rg$Ia5 z{b-OWY=?h0;pf0(TN{X5Ne1opn8-@r^wg+Qm%slE%v0fmuEiNvxGQrpzJSf^hr_o= zz_00kLc@B856jO7&a8t?bReRu#|3on^{9lS*F*S-FDy6HdSXHysEYyWrnN%s2T zz6n3o#HPId91K4lG}_U{N-!?|-_R(|y3Bt^qXyP^{h#}j%k6W5Z{CUD%$gaU8GI&k-J9=bR8{B@{;Ryo zbnjH=Z>jxd8u_jJ;sPp%Tr0n1TV-`uuGS5-;kjoIcu-_ z<6qWfoUx(#NYhe%?L=Zuz6xRwQwDV9ejI#l%?;Kt7MH$Vv2volZY*Go_W2bI=xUm{ zJ8=a*TtSTc8{5&FJt!Mr$vhRY6UNRflH3v1t~Dd1vzTOZ3_p#zx<~ur$H|VA(f_A8 zbFGT`vp4*Ob@5d`YbCK1;tnnKS@H4p`+{rgndhl5H%(jdy(FIrVlU`@+duRpGfPL9 zmaKfn62!Nf`4;0|bDN&;jA#`e6o;43=iLXYZ%V7bKWO7A{o8Qxq3;JP7heTj*qmSK zen(;e%<;~S5i_X1U-k8E%sJdF-y<6AZ66T>R@Jkf`r@>sIVbxapIGr6^o^aawDZZM zI9Jq7`=`w-PjuY>(2qF)`OM8#89bRhUDs&dyt>ArSDdkJkok1cO7s*R>!D*3c~-nf zbi@bhedof7O`@gfc%2!L9qev~iH?I@8m78AG&~l4Xwz`1&tgsQiYR*9KHrxZkzl@s z@utSptA9kyjy@}%q&=*fyBA%jvv$R>2IWKUYnn>CvX`Q>=zTqL$T#{F*0DDA(FJ+Y zmU`&EXG!=#x`rF-`W{} z>#RJRe^&b}=I>V!^DKAh@tfcJhW7;T?aZSX z*1N|4NP56;F<-hOfn8}Q4i<&h)sJ)DIdll4LvkN9vx7O&g$<0U+ld{-m}}8|Q~XKB zAFQPdLGypYt4Yf1Y#!;DX7;M>1#izl-={e<pAUVPQSU0w z9l4O-&+uFHXFM@baVf>4Bu77l5Ao=M^5x*rlL^U#@OUshORm(0WJ>L59kk>oJ?$&f zs*zR67)AK@x&tco6^*m z;f!UyZ*%z;qb_}G;dioAy^1l$-S1!XTm3$qelw?5!2DUE=2K+zO=h?*mpJ?_4|6uZ;jAgOy`Hwy`!&dH}QrZ zZ~d-xQGaxj?1*BLKJLh1?Rm?p>n0LA^jE~;AL$*&cDDTpu+MW9dglrBj`V@=7T>VL z-E{~l?h2NC+)9}S?1o_f6}nt;izG79;L`Dzq}ljDZnhKWP;4zB`3d-}0^}e?dNX!J z{5uRjO-PpVeOA6?gl~%1i=WpJLrX}mCa@-iZ*jhD#LkPqU!V_?r7-i6w#-luy5+Xq zSBu-8VmsX&@w^U zx&J0l)XlR8`o`Vg>dRbsN9!VDZklY7_gmkmP^b9CE2HlTH?Mpg@3-VK>8Afp>C#zK zS<8stNx{?N-vs(9!dbWfWQ|IKG#l4%6t~?+e)~IR^nEwq!^DC+(%7f{chcglVX@1+ z%y}11nOD_LB%Wb?tTM=i*KPytCcbVT?)6FQUpx9heebFd_@Jb{YWIse-XzU%FI@^a z)`1t{R5(~p*|tTG|BHQ=9MpI+fWGzj+i#PX{#>>?P?3VSWRE2qvc-2I6Ta^3Jz)J& zjP~S9q3efl$7foLUX?sZma37BKj%6AMGRZu>9;MU;S&`^>Ejl7xt%i#u-8-m3Lna5 zi%&Ji_I#}vygOg~%GxF6dHS8=ww%Dwx@iOAO$&(&8tlrzLxRI{m)49sZ0XW*D^d$y z&t1A~TxcX`31E|Ri%iQk_&M4;uX@X9*Gw=iCD`9cCi8&pfi*=(nl|k#NHC_6jjLwP zq8R*dXYQXE_V5&N>8^nH!S%bcNt{3S9{(?1onbB7l3^__&(!(9lM~$i(OvOP&H>CQ zbN00)&M|FgFn%neEt7BB_OLGK?g@r{3@QZ#pl3R$z?BO z5Agvobng{yJ7j*evgh35O37^*{5A)^%YD$EGoF0%kiNCLGnVm3(=^5lUyNSD{Y6!w zAiuYby&+G#<4w{hoeg0qGB~ zpx=p&=iYV&_q|kwuI6_&bG=EPjpSL&oihpY<>1fUOsu(`cg^i;u2*xuS2HF_F}JHZ z-bl{Xp+_mBIbPjCLa2`6YbNX1)z5c7u-n#vCA0XZSH;*(e@&RJVxS#v% zG$xUcu=-|4|0S@Wp8k_wlV7mG(}6k6H8YMSep(P_EFv41I}qO)JM8%ezlb=#fl2cX zYDm+#D@>e6z5#MBU-wbzzeud7C10SNdgIh->wMmqBX5y-Pm9gO1()zmK7#E}V50_z z|9is!*!;cn8Cb6*pP?w9IV$SbJj(AV-<^EXKCG$WPN)R22;0`I_E{OEr+S;hozyMb zeH0j2z?`lYTP+=m4FmUx1uRk9&4zF7hS0mJhIhO!2&}mwwnk zaK1}#b<_hMrQ<~JgViPaICCOSJ6;@gE_Db$Pg0iHLZfU^6}V2)_wtjtFV>WYv`$1e z;Cu9xVXes1#A#q;2pV;(mhB>$1&sr^f;q~@h9C3rvl9s-8j2-NAm35au z-^M#ip*1lTXRRq~OyOPmCyGsdfgB`RTj*onW4*tjF42c^U%qJxXP9-56-1kwkR#34 zE%$Rf1NYj!ks!nwuXX+f95$^0%CMP1Tb- z{p8j;*u{2#zlu$)2X4y8SD}vnrG9%Igydrn{O$SA>WgA7$`=J^{T>K5t#{`F)AOlZ znD6OnX3GnsWe>$4n}}N^SgU?AG*7UG_yy5{{JCy@8Z&zRPoF>P3%)fE6hpUZF1H6Z zDuxf&u*F#WBm?-nF~yTUG}iahKg2~vi+SZGE!UwF``ha)MTY^6CxfRrcT_agoH|Ug z)C6@kbB{wF_j<~Yy!TfV)(98%)AL%JxmTcy{|(2Prg`Q2anrWwnGSy@hVB?G|HcQd)`GpxdW9tE80&smG_FMTGOYwSAMg$KW|kiBRv+K1PleH;V39XexW=4148jm@A4b4%a-)=Z-hCOVxfv(&w-YZaRf}C|V#JnV%Cz_Sc z_f^Vv6$i}^*f(r7{GKj-xeoLYoj8pQJhYC3ZF1eY)SE^eEE&g z*bw_k2_EE3xQGImaIg+I=aIgU|F&(I;In?qdw=<&pSKT>x@C6rT`W7yhtB3j$~htJ?EwT4e+Sq`4RScZ07r3($o+2;dXu}+;)^EeV}x$Ez|hp zUU*z>kV*V>HzNf7_lwWJh8ocy0x-BBTKk4$xll&JBKIV7&e4zXl>Fetx z$IJz8M`zpnjM0_yV}?No`F>&6tB4NrWg^ioR(BWQwl9Ftg(@h;Z7PGx2ZzuX@x{9fRec`&_9vWxWqWfJTS5sefBFQ-g`Sdd4P z3n^De8OgVJP583MMe>cv|5N4vhttOOsL~Hm4)Fkd<K+I7@)LuJl_xn8ePAKkUA1E&@Ef&$%n`Gke0#*Dq6M zIcu;r1{1zwH35rp&bg11PcY75&;KLD+a95g<&3R@@VwHhI0qn!PVvTL$J)HvS9Q*2 z&BGMo?O%OgsaZHDtaC7(u??Fp-m59+lq`E;P>WG zhSGn@%<@U$I@P)I2-Efj_)~tZ6KDWdbhZs^59B@$tm@+z^j-auu9j|JK|bO&yLN1i ze!q)v!kN84k31?lk$4ybjED~d-|0BTfXVP;$P`J zpxA)k6%$FfpPp~y`86H>D?Xvtkg5IsICJJmu( zsCmhba>-2V0m_Aux6XZt(Ff@PyBudF$p4f~OE&I2fFC+wyUp%v;t=aMsuR0vmpvt` zP4lB2ZKg7>C(@ezeRstu>&eqa)UV&3JjoxJLYm}h7CJ{hfDMP}2MlKeL&C+0>@)D&=kmx0 z_3?Yjn5?!rl<5rPKJ;_!+jiN}4qg~TU52rUjo*^2HpN=iej)8g&EAo-kTI{%@~^x; zAJeJN>Z5E)qg(#zi=Dlh!1VR4tkv^ywpKb7ob}^uYT*T3PhpP+{!G8xKTw7{!gl#y zJ^%Zch}|pSTUuW(e1da7d6t8}QqGysevKK(r{qYyq%+x6kL-$gs*v}pFHrxoV>R=a&U;Xo4oP`qKpwbm3uq!fA-{reeyDUGj$fY){?_By}7*oEcN*=>d?63P}Z(^{IfnQzpe{N z5&Y}XOPXh5%n1G!o5^W>nYQ#>Jfr>VqS^DL#o?J)9(!y3qw5YKRxf)cKSFx%ox$+b zckT8#Nc<`s7~(3T1NvYJbNn_Qbk?!xrF&O}Z^ejraaNb;Av*ntc7SJ>@Ac^S-0^0o zEAPM1X{c#yXFjP?dKCQrk6W)`a_SvWakT5F$LXi?D3&V!QoltPVr~Oty@oXJ=DxyK66A!d}EECz_~DwZ$0tEY(p4txeZacDwb!-NS|ZHo?s| z+zm;Rld zO~7Zelf~?@i=;BFEcjbvoOp2WNZI{E7>6;}Gdr0zVWIdijI7#wwP{0m6<;m)`_Gau zw34&({*3NXo;@Mc*R%8WtTkA{x+&Se6tql$cljyXrFVfvwpKc;3|px-WP3att2$(7 zWh0d)S(cylKcva_Dor*+`IP==(k1`t_EY$qTf*6$?%I$rdQ$JQ4PnaGfXfTe*X{T~ ziY22PZdRzt zvH`If&=|S|b537aO$_0>naQh|RmbA=I_Og{r+8t5?72&uF#Ec^I%fYs9bHKG^vNsi zneuGht>_lnH^CUw9QGk*_9*aF2E7jl22YO)CmOp9g|0FD1NrsLvD-LF_YYOC_66EH zle-#jLEm|Gd~~6si{;Bo7k>tP-naDnS^sR;dq7>>BY8Au|9JUd>r|Ka`DqTp;8R@n zH_nY>t%P__@x&_DCQjnJ;-!MY0H^vN#f~6TuL^e2b{u){&b=Wtgma~SN`8G)4DTvp zExDvAk1fY4i_Cn+yz?yTRy((N?UQ~6IQ7z3kgm28^vkPH_cwa=J+E@KpW?f4zvFYQ z!$!B!p5$C@o=hI;63sh%aw1(I0Hj9-q0@1T)=UcBv}o37SC;@UZ!5s*Mv{_Y#c$C7REY{eAplELTN zh^^Q_f2JW5H(b`u_5q~l_K$^}c#7&*U6E9#^>gae7({8;Pb#cUy-RwSJ55Q~oMKA4 z411(;?-<&Nr>)VO#+do1#P*h4+^tP>N79jkQ+A_sn+?*JYBSo?x{A7yk-~cXz!+JNEH)h2>`8)y zeTp4v(XQ4Rq$P;w2sXhrf;I7i(J%PGg%=aJ3SO$3+|51*F})qhfn;z8<>e7_ zOE0AR0^a&{%>~JS$A_DJwxcs_ew1C0#JXB7UxPo!wceOnwobM$nYI>VDCLZKe`~78 zr{9E#zv~R&Tj0x7V16j}R+pv&`O>kmqLJN3ysMR>jifV9b;lQ7t@lU^b3RE&zGPSH zEz)AnxYfy*>T114TB-*$RV-J1PWH84R@v@pX{o-}^Q0x{v+~WGG`v=Jo3lNvO)Aft zGxf3RyDm*y^M4>uJN;GNwr^;RwUjdb+4r;lu)QOj$8f$fwo&6M@#KD4aLOIf9_xbd zqihu4v}z}3_`80E)_&KMo@D$HrXMlBsXvd=m(Jzy@XG(~!1BK)9UbhHPyZGRSU2&F zH5`Re)y+56eK&Q>?-xCbpeOT8!{y(I-vvwZAZ=ggwf*sdZC|7MzjFJ|H`OoQdO+X7 z^%dlcqYL!C>YFZ2ih&=H2mJiZYvb<+ws8UJ$uHbC_@+9vj*IfIiZ;V_=TvH}bt(S8 z*~l>~9MCs2%w>!u3S8;qiykXt#(om5cQH^X%q(nDm(2=P!Bp#=kN6^bYuR z05I5j+74*m#tvwlx~==}~}knM~8)rqIf;haO0t+Ru%VUtXqZ-c*SFZR2D zvFTx)xwDV8lu7iZk38!q`RWo+`)wTjk+wqm&R$l*B)2`~t^obs&PDy~|Kq}1jR8}FKi18vp}*J~dpuW-ogvSw(us>nkKzyL9v9(a4`a*y zdd=}GWJ6B`z7)10fiI#lvgTwDp|5I7bFy|j@otvpWDglvn)_wbj>|3=j^LA7JN=Yl zybDaK|3IDVwm~e;mJR0T-ld%8?-GoQgV<`d_mPADSM5B=@FemucO&_9(}LC+N~4cq z;D`Z_{5AE@?pvapRm^w6Fza!rKic<^$hc(9(`oH#&QR^i59p{n8njL#kD+YTty}X% z%Q-VmcHmohQ*-GDHLdM*{T_K=o> zw`V=+w5_?>4%nhu)|Uq<^Ec9>Dzn)sQ<+{SoMr8Fzo&dxtn{65GqRERW+%VZKhu5F z@61iUy4WB6Eu~&L^@Vb8P)>NC^|Vv(1)aXXtnb3}bI$j3_^vtyZ#(e*n0N7m(o(!D z{YRvE{!zNGuKA@xY{*1ch7`k0*z%KQ{gHN%r-CGHeG6V~TB?u94C^7j;l~y>|328% zm$v>vya7G!o^Rp!2GZ>t;6>l+EK7B+q)ZaHmV-0lHeusF%ess7Fl$yi>W^huw=0c3 zfX&>^;rYkKs?#QG{#8GAO?XNG zgXVOepuFmdM7vu$W8qrz#4^ort?5Nk*k_bPrgpckCS7n`Oxb$>po(mK!6@_0@-+-| z%?ak3^RRVctrzynCA(XfQO;n)?!|82g{)5`{{0N+NUMKZKlzB$N2i^5cZa9AM2dpOs_X_a=o6feJWLsH$GmPOH@J*8LePVBO&Tg;s&2rUu zae9BF#Q*;e?x36WhiI-f?9}J*L_EX#j_+Z3+U5zD@6I5P*T2V*Bhl&9^l~QC`c(Bo z*Qi_Xxb*MHbBgaN@T7W^F0K@VuwfC;qC4MK+rYW*Z|(c#%ml61NKe4W+qn}=Fdd#= zcOt`jf$!o)yKT46L)^L@p6OvF$z!Nn{@V7_oUydv=5*-kCRV6w&rpk;+xu2 zp9QzZrJ3n%hcm54^2?8lxp3=@=nj}-+14uc4O#E^QG20}JKp4fB>lcxjgcSV93R#H zwNu8SK{U&{gEH{94UdPbPu+TLc(^zE7V^ZY_kQ4c2fhjtAA0VT{cwGd-j8^;6<0sE zJM!W1RkpQ=G{#zmh1+d>JGv;DZOtRyyCQq35AE5ocY9BxP z`I7zZZ%l{DWLPos$MFe-%cM)k$I|n}GOY{9lY;jWE-oKRZxdNNhwn+ocYmZ!-HSAh zv%Ii%k8a}e7e?EX8BweE3B_&Uyz&r!@{|)uJ8{glp%e112?crYbBwP;&)h-X=;cSH z3w>KgTcgxJ_#@-`nypdVf8C!^tA6U6&ZvyB#&#_9g0_#w{M@^ja?(e*G>oUi63?`T zQlEh*lP)atU07_~r!uS|d}o|cIOTP4Pal%y&YgXEZhcp$*O$z+dMQ8iwuUwLlG|x~ zFD@t#`A+b)y$DbCg+DzR6<`0%DR09UiI297$|Ij@zYAw|D@OJ<_X_UjZloRD+eUoY zxku#{)-%WkpijO#4|w^nwa}TI#Te^jn!>>32S>ug>-Ig8`|-2e%`f~2XJ7K3;?6F` zdl)a-b6_Lrm+*VLD^KEo-J>d*v3VQ4{pJ^rPFoM1H$dm1#NA9$%~sJFIj=n#y7oIE z+O}@Y+|X@#b3#Ko*Q|e`GuI{9L)4c~8$tCG+`i6PiyjTPK+_lKmvm|Dd2}i8dHvl& zy86Ssl_SHHjij=zKhU2fGNLm0I#U#xAd)0x#rcbhmRY{&W zb=kV~%>8vGow^)763?=xk}t8NeYoZyFi)r`HqiX^l+p+kpM~Zcfifyz|)fe1rDqi>K#{^|bQI7p7lN(x*d-m;WSxLFjMX zC;Tqw*^7>XWlnmTcu#8pWd!%1C=+9>n9SP`_w@9<$(~lWn^$|J<52F6b$5YPFe1(D6|6Wwgy-Ls6>lyW~^Iyng|Fv&1 zuSwpt_sP4XZ8z)hPS*XPS<;UN9TIK1l(zI=_i^oJEga>nvnHEH)-~iq zk8vIrXUMYF@oL^RX2)KvGtv63(^XG~X^C=XmXG%;ziIKY-ud=PW=$-^hkx3yQDgPC zMf>j?ID;~rAG@X>@g&6%yx4*M$Ei2{3>&rE*F;;+qkera^GDY(Kh`peIuvIb!T;Mc zqAj=6EA0t62-r`tMy!q2Zn2k{JBDBz;Me-k0yhv0Gl}x8|oD9609)c7Cs? z?@CkupyyWYnGmjf1DnQoMrW3T+aA0psWZjeQ{kEzxsB^2c)pY0TC*to_w~7U%xJ4u zujWUL`=|Q=O)t(DBVJrhTi={(`l(&->HPh@PTxIw*@^yEdBu0c4;rKHVf>iGI>>?D zqfPzZIlUz}FtB34>J@{uhGe_nU-8zenn7<7UsE6NrH{g?>dLokr2DudS?So_TJPI^r0afaC!PDL>4(16ldiOyuv^DYzxBJ$X~gyJ zAT7AaD<7=&+jn@yxBlAAtGmFww3|tb5r5U3_^t4n*14z+;*(o_l+#)sV{&S9wy^fI zBk#b97m2ZI?_mye+rm+)${#`bkbTy_-S-2^=liW$lvkNj))1+@%6u`DwNaD-_tr$6 z^9$Z(_okgbwDw+n72V0=@s9rIFFSohV4}fC<6K|n@Jrw`_1B^Ez{a0;wBf*`x({0K zqkii@)ioilu2;a#57w0oboB8*)p?xigx_p@sm{C~=pXlA_0C#Ic(o^S!AMZQ=`TjH!j+y^@FFFb6dy9 zFKn&P%$fN#PkTjK&+Qduld7Wi<8ryLNb7c^b3=XTZw0zjXQ=nq`k%n!C9nH>HPnp{ zM%y+{C=Y!wBmXJosRSm?^KaoyWz$vXB9w;~2hB!(t7Xo7?BZzKBGMLhH5=cC=AvIZ zOdtOQ{J@XopS>3QX~P6hF60gHBX^k|Kxp(cN z*3H1Sho|KI1vB?-TQIX^dRfn%Gs-5FyKokZAA`|v3^rHr+HkV|%Y!qL6KyNb=A89t zd1w=`=CUt`1E8mbf3hFeXm%`Q_#SiNeF%6*-Ng7Tn|r8$c|I_A=GR8SYs-YQ*TIGt zp1sb6_bTRc-pl~r)PeAFm!M6@Qzk~+PNt0r^NL0B3tFEA#@#&ky+3c}oNe=F-UpnQ z1Lx(ySp^>*6i((kJUE8}=QCN;Ld$^T8JDJOfiwTo{cvu{;{GeXPX$il;bGt`Ohnt> z$eJ5kUQ!;Kdk{FUNrUrj_(*!flS`eSDS3Yec{fSF6^OF#8d}GoMW1D-x6bA+v~#m& zhfbvK6DOLdije&s&`UBeS@3x10@^48m$x5b?{C{Rr-rk}(c7nzE*mhx{@>R=TSNA8 z558N6pA+WZV)TmY_HlQD)>cR-Db^51zuEUZ@Lw@+y%+KSG4>%So}aFty!i>)E7=alf`?3lrJZKi*3Y{PbeHK15?`Q8 zi{bk){jtyAgGK?JFN>VtGkt2SWc-F15nIM(CzhE2_geWJ8Ak_5&c~(6d0kgW&d0(F z^E%|be+NvT1Fr{z=4+zpu4ndv7wA5WbKQOjhK19d{$Grq8iSr1W6Q7a-}e75`ftnM z5A=Tp{oey`jZEwRo%H`L(%5IyNoM;uZdBi0nU!5gtt@7&>zr{Mm|wO*yn7XE&_3*0 z+%oUNvexy~GjCz!sR-w33b&e{JWvnxZ+tMV&Pv7s!pDcyYvY5suy|d1Jp7Yz?cC`* z#w~w0GIQ>XhH;`L`>}VGK|kp&pG`kg5ruwXXg6ni?5R2LMwZN(5r%fY3ehfze-=SE zUpsx;Q^`JUHqXAe)~D}dJg?^#ShTyM(A}P-w${7&n@(O8T69QVr|AoPbUax zlK*q*^Csw}`$*)|OFw{%U2{&VA9M=eHft;NIg+(~H<$U5mRoqwE zoi&9UxyRBxG_gtdSw7uuNvM8qm&#`PuyUNS?^*P*UjLr#ijd}o1gBu{2@X8?j|EN- z{zF{&j{zqR?A+=4{{!sxX|NmifP1k2HVyVOu$k$wXCtG6U9bs$!Cnsz1phW*)&0yH zc?72iv(}K5+3;Q+()k}34_-u!WD)n$E(-mQ*rIIULnohVpCz<*>}mEMVcF9-JT3Y8 zlKJtrMb6n$o%1PnDf;RDGtpe~DL9ra`Elhw?hsvag=rISJiXLxoC;h~?gCSN1|Cxz zs^6crr1EI}5O3 zl7;!$;N!@9Z)v=##kSGfgE7#qzuX^hdWLcG0Q!13dCE1eistQ_ihYwm>*>p2z|og$ zLY}_tXWMF4gwz&AleSLZx2UXV`=YW*OBPo@{6qFxwplj%o*89NZQPOI+^dkNrUx7U_FsE3s@a{w!iOx zO6&Us;8Wi#v5}_UvFW!hEPJZglMR>okMs5P&v)#AV3jQ`z~*}R@_66@;mgKF{;m)4 z0f1+ACG?MB&x3tkJIVTJ4;SU&qGocQJvI~mGhLi~Jin~xC-ciD9WkW(VftkIH)XDW zRz=%M?4@wxhyFK$llzi+p&L1Kh4w1Gp#Kj2{WkrFf|F%@Uj|MX(^Y(qz03zEQ%PG2 zPSWK^^jQE5-nt|F=CpI4oOyh~^o7>AYrMJ7@!7gz7dpc<$c5!1c==*@dGz#y!xCq& zjR(tJz>))B-sQrwmi5}{u#5zjJ$f3Y=W{Ez*tWr4mx1O1>$vK3isPb$$37UETKC*=EW=8K*bcGT*;(B7A=Dx74F%te@cMlw zSli%^MH2XiDR&$mP8*+Y#6N7yz9F;`+cF*>QTP%sX#d;`;H6sd;S=Vw4+THM+CIR1 zZ5T@lFP(AVV~(v@iD!Ua`|?f&_WLFuZp*lj zaeLP!bEe?Hm`rQw)tesn6Ql6m7(M$i;uNd!Im+JHF{%9Ros%N(FCkvBWM+ghd@;Ur z1ROQfNA3^lh*1bf3HCc^&vqB^6htTZhBVYAr(fPWp0WI4qkviWrUUmz{Cwf8fc`&c zy3~#)cA*%XY{a|Z?IO;f9!=iS~&wVR$4IG>24ihhQpyR*3nlDK*3`N|=8rVeNjY?i}Z?w^HQbbnXk=C%K0_pf~B;(qd(_E>QZaqaJZ0QbUw;S>k|%eP%Ob3M;;#%1e> z5A{pKe|j7s`SE`IKL-AHXU_@Ef&Pzq_~-7hbo~Dj{C|^uZD=xiPV(^oQTvoXfd8+v z-53t|4}*W-gEd>VmdcnvZ~ZOu+n{;x-k*N+PwC7FrtSD>v`uLbotyz)GAoY>MB94c zTYrx}Iu1Yfc5qmAJoD+q2|fLKHT+O@B>IW{XjR;8mJ(e#1EwtE(ii`@8X6wP`R$@_ zgm{xzR{!&&&;^={rg705|E2W8SnFQK3iqP>PC1@ue}9%k`yzDR>G0(u_HrGQ8EqS#&lzmM<-xQGnHE24-zf86=honlNZ($S z$5{r{S+>M~p6@4-+S2K%aqaI#W;V}A*uIqNRV*NOof8WX4;pN!VgaR$>&d&MnQ?uQ z>05Co_Auba0!pV(b-(4?->znlmqCA}mzf03R{rKp`(AhPy4F4E{>eY_zm&V>qu7Mf zA<*NK_9>^3rv85cz7x=J1vrG5fCo8Egq$ofS7?^)%yx~HOT+AGz(aKuy6y?gQ` zI|C}R(fz429eQX?(iOPk&?Ec8>sseC9@Uwv*F9UtczvJk!of*-q4w+xxnmfO&^~=#!_FQQY-!_%Oe#G0#L+4W0m)$Bu`?8{K72PUA z?cEsHGLPIonBU;$73#Sra&_olctC4X{H!ynX8tJ7IuR50y;jCrMw`C)QJm{>ZeV`Y zKFi}X?9V-2x=tzs_tF97(0Nswe^^BPPWrQb`wcU<@py5(T;vyhVB60!XdlLYR|i1M$hrkA(YcdK%E)t2AB6$S6LPnl}`9rm*d`StP?+49@BqWin>BJ$gjj{LH} zP;0X_A3OVtPo2H@k{_J~CLi)L*2u)ciTGJD@q|lT(N*!UKT+O>A6~f;-uAotwkLdG z%Nl%BFPiiJ6zo`gcBO;gG&w7Ab!_&VtjU-k+aS3uLPom5CzA1{&@lpRN9IhtYAE`; zYW|h2OXgqE+CG-?J^3~f=k;LHJ|*$8<~Y@_v$^9%a<|kSzkG&{IT&63U+EFw{_p8= z^S1v?kE=iUS9)k4fadlur2i{d?U&I@NiQcZ;)Bmi7B9iy>EC$wnP&OBq(?~O-Ur)f zeUEbJ!^wxc@2gqMp!dJI|Et_|t!Y+lOKYmy7CmC0KmIZP;~sp+7IgWcVb=W8z0{?F4vf^k44WaPQ_WSD;1~G9ar0Q zuN8Kzy?x2djXdJ>8u;z8K+sxUs&xi^xtq)1cz=~?X;yq_LVWxMz=e)tP0{is>8joafBC1a*W<;SJ8Rdt|I>OZXeFolq5h zUE_nY@0Pqix396zukxSwdTP9Nh&eJ8#kVoKZ}k$>!u*d_{?!eyucM#e1~M8Gncdce zdzsgCerii#NMmbYP{FD|)*7vaR{h`OYjc)(V`7nM5pS*fwP{K`Z<^xtZNN{4*V?!V z_zRj}=WMH4rbRkGj!mf#Foq_M)y^K$t4_ftUmxnTT5G;|s#=rdLwl3sRfmr{E~`k4 zE8>xkEJ7bvqYLT-{)!kjq6D270oEwGu)+W2wdYiXpNdq3HxvPv@|-O`#2%L551&&J zd8&v<>6*8cEmZy@9^K6fd0prM3aVD>~jaU7`A*ZxHj+^JTUtU ze1{SATYGhq{{GpCU8YHT@>^)K+s2D&TuK?yX;t8yHFr>!xXkRc(L0Lg2^T5sk8toA zce)AQ6&0y*#XQ&Xq&|+!eDmXxGs8o!pZR9!`k7I1Fwez<&QWPV=V~mo30+VW7*G*M zujU2JS*5BMxDB`wU6)tHS|{+#;i>sJ|F~;EEvTQCMKf0%J+UfZpBY-LyHa{(aN|F1-aWKn z{g$X5<6FwPlj4v zc+v-b4DzbL*r*Kt`zoh=JI)}AQ zq^Iy{v%vXy>_NjEd(LvQ&cBMo!(X1xoP zaYdf}{UQ9_2=us!a(D5JI(k&-Ldt4ijiK)mo??El0%p-$wD)K(94M|UUT|>XuN5B% zAMl!u582KlVjw=+5pTYNA1(OKxYdF0N?<#U=i@i-pY(GVzIx7#q0K2Q!L;Y-1c$-L zmi%0f+?4V(k17h)OUDF!6~}@%zw4VX0luH{d@y!==pGwJU&Yb*T+&I4DR&7^-Pp0A zI?8H~rT9*9jr)ONFLe4oaA?6gWJWLwwpL`WR63P);E7*Ho3{Lfu_N-ghB1@)y32hv zTQl#Mt?qIFe{V9GHh)h?CqK8`;qMY`L-~1mwa*0|9{1wce|6*6_qATZ7LF@sb|H>k zik$esK`}Te1xC&9hvDxJsOv~*>38{C@NR=|KNx&N=mz+^G>~cYcX_~H`yP3x!r!cw z>wPKwt+;j_^Ad~TZ`CROz8L=g3;8-^1pc=1ft@OWH&fst%75tz*}~l0e6uUj36F5! z)C%;5?6qvK>~aqIlt+BBJ=L}4B)j~;0@-qn$vfL}@k8Y~|3RM+GnGEk9C254Nw<4F zebV&+d{_Is+4w$+`QH`4+OJRcupVTDt4H1-cK#Nz^X2=lpZOL~zYBj@kNk!@()Gw3 zWJ9s^YX@B$y0()ZsUffQNC|k(2hWNXm*bcL$c%elG^Kk zabU<*B616>j7Bclr2sc|5D|?W9*%+pU8=>vK1_i%)D+ap6$7KNYMvobFW6ow#UHO)^1A#o;YqOH!T6!=G*%RhQuV;adcV7nbz!*S>^*5?sUH zq=>P$5c@AR*}G!+T}NGPro5jxvu!83dMSJ~^}PJryYam)L06XGV=TlbEyCxzxP9@= zMLdJ9mQ4zD_*_wJk^HVGc1i2u-k~l-?BpzL(}IerPmM;VMh%`Hy6`IbT-mlwni>ey zzD>TU&(W3h(3R`ahffUhd@e^<&P7*lBHwbpRSzoD*^F(%g~nbt!wVXB^?*m;B0jWg zQM6?Xd^dnK(5o54eaKjYvHR;${DB(ay5QWrT8%sY!C2}3K({sj3654_?nVS`I+a#M-Ja&KUl+2P9IO^Th#Q; zUiBXJFecNy>>ld**2alRlTp^9QO8*75MEwkoE2xBwf#88oVm{UATe}5uGTO%i9@IJ zutzuY^x~QJ@!>NwKR$Wpy+h{A%nZ$$xeWc3>FFr^S&g|G-s9dueA*OeD@DLx4f_Pk z1OGbinp_cUUCLv4e#*G3-$y4McioU{kL$;CXGOTRA5Z6Tm+ajNp8h=28GC*&-7!40 z0{yif-O-=_aoZ2?Tk$gfjWaG6E`$?bhkQqen<)=R9QlsA7j4>iDrY2u$LQhgJwfI@9ia6&w*2$G0Y5?GCXLw= z(3JBUYa1A+CE$1Ig>X1NNIGHrDV*7bFML1tSU#NiL42U`hx}RjX|GV9zP-eMjrC-c z5+|795qLp*Jd$mi?&q81#|^RlxTO0oUr&Bq5<4jWPwQC}w>tlyjB6^Kam^h1oq|`I zDC6nLM)rX{j{QBDoi3x@j&W0!#@)^sLt_eWoZ*cvA8tK(9mQ#Nl-86@guPijX$c95$R{yyzuLcli*3&N~QII zk0$6DlOLK2?&RsjGj`gwgLK=qbI820S|{|sdnz|5Z^ldPp&9hT|ZUFo{B7%xvC-!;@%Kpi#wRvS8V zP`^(-$|-YWTA7E4IZx!OiBvp!w=b1idO>2^oFDLRR6qLXMRogw`o+XLZkeOg4{6%W|=_S2JA zy8Y*jS!cZqyej^b%}Ibm@#%PY>{6bm#*Pc!4WCuPgRkJ@_<=!dTF27=i+L7~9TWN; zFzCC+gyPZBl#{oYZ3dX^=W0mwcFbI(2JoNGDPxz4$+bDit(`*N56Z`k}_N!@-0!-K!)x7(@P1pf_WJ=y!>BHdG*;*Iot=2~07+x7hIWA2+kpvmetc>Q&z zZJU+QZzTuDU03V$o7M_t@S)7pZwYb*tKV$fY`kTgsZUPez1wHDZ8qMr&Gg%OoZnY} zeUHA{GI)IOKKl7SWM4Q}vG?K9sQF0i9LbkxlzeF}3bPjV>WfRK8LMumzI1zc^sRWd z7X8lnp7AQSo7(-9JubIhSFfbw-2&QCy&v-_oq0C(*HHf_tXVT0UW!j6k=HdD85g=X zjcgg&HInsrQbpG-bH^&OBc6Hna^%sDdie_Y@a!=|gSR<4xoX2f-c3hlHslQrUghZH z73*!@ok^XScz-o@@*Nzjq=#6m`#P=F`@C_S5`@%Qb%}=q1qxg?&TX-8`J#y8&4<^*{ z|5%;xlGwt*{j-iW`rpZO{x!z@ZYSS9_`@Ma|0wTMbIC({a^2vqMn>gs*?Mz7m=H18 zOXD*{j*XY_DJZ^tH~DNLz>1SE$KVXTk)^d1>mO*+SXfB@T?5>{gy&ze)^X#;gxB-n zRN>&|>bT#7+noO?e&~b__>tSf#jghYUHeX9Bd2~AJQH3f_qHX5MQ3QwQFy!n4tF_t z2)_6egC}d@g8@G*{=kpvhv82RaxK0<|5)Ri4<^Lnljw~B!%MSp(s`X}@WVH5xz&%g z^rvFS*3)-c;J1?Bt-j;lW*hh1rf?*?ewc7aR$~87ZHd$FV~n^jkL88N?p{9DX|vJcn_1{%UX) zew)AFd!$RxZ%dCF`RKr2Bb&4PjNA=AooV>H^DYLyF79vgPP~bdH$`V6cJRGL_Y=LE zW#x0zIFLNZXWO>qkJjF+ewVC-SZ{Xzt%5$N8L)h(`axq}vQmbuETdieXj3?GO8pw1 z)i=LH9@LgeJMLKX!cqD5KBZp0Q*QtTYj`phG&Pv|L*@PPO)s{V{)ay*Kd@8r_TZG@@oHf^2{1ti8h!Y(Z zdHd|-o%(HOR&veHeb)VWdRMD=Z)5>eHkW%Js~vBO9osb1YVYi%;F6nXOFEc8bYMpL zJx9Dv+g5hd_sPZS;xfm9JBxf)5zbF*JPRMyjR31NF45V`(aQrkJ8i6(qPmoc9Y}3X z2TQ!Q`TLwTX2n-K?w0ug{<^#^MwfNw?LgWVZ|yi-H_w2t>1c~an-7WaQd_*g6E}Df zewT~Q3J29Haa0 z7JrZApLwS^WB1+7-(@BL$h%#fuaC^=nOr{@86AjUkMDxLhi7cNQQP_$V{gu!-r^(H z=V|UR`vrEjdtSep`s8SH+RSabHE1NC2>u`vd;78$?fb4aW9(PVGDWf?4uyqL#R9zrS_-0Okjc-zS&d_IhaU zO|9sL&3^J{6wE!X^#Z57-bcvMp*qURTFP8?H+Hmi)-=kjITPO!vD)I(lb7cR%O3kJFCsCfP#Vq+y!L>eG#67Vp)rVC*6e@F&0xs4V#beEQ@} zSjyyc6ggV-$=#CQ>XZAFWAMG^IJ2b~z7rq06W-5o^`}AJ5$*FEdE}6B%In=tdyIOc zpPBracdDy)kXeiW@2ea+y)9Zt*|dI&+-LWQ?$jQN+qOR2+aF>k-*oEfo%sB^=le|s z@E3Tm3Lb5$eZlKVfB%Vh+K2ezIN+iOP3FoVIx$)T@1V_{pLO;-?@4mv^IrTF|9+?T z9KPvZp_j2mmDiNmnI_qg-nx=~^_${`LdYX)m>C(YZH(T;h@(d$)*S7xtYNIGtN}0W zGaL5!`1}~oUy_%n-7X>DhH~)Rwu`^15nPOJ#^%15HChYgW*PFGByXnOC~N)%^J4@3 zTiwS<)*wgXpJY7@{B6i+c5lOqv-+HSnmgky{(MbdvX_9tI&N?7%3nMfZw7O&!j_d)F`7^r6-*vbj!k^6SWtuQ7!WE?G*O z!s7})HKw-Grsi(p>e?x8J{a-jv!Xzi_;n)x*%R!xv*AyfzhvYB&dt*ol|7NGE%2f| zle^LREbFhcFwq%>&OOyn%qu)_A!o+~r;L0rpA}85vf;gGtq1)%_<9-V#gs44HCiIz zR+byJ&JIV^rk^!AF*ujTi7YR}b+YSYatApK{+=W&!*AI85+ZH}=<)0~!X zl(fZ=iRzw48_L+qSEKiOw*WX_^6p;7vS4h7*XrN)+(o_kU2Ve$$)0pXFJQR(A?wZJH_arb3BAhxuyn5SC*AAlTfq=~SLf~nw+3{yt8>?)i=A59uMt*h3?3_n_D9e-J)Ipz6|7M z-k8=+z2n{kBAHb#5C z+t6>_nakcoHw9Sl1kiE2@JsaK{rht(nmJc^bVW>k->p*Xk`TOAyWK-(ONzGCx80D_ z<9N>)o&O@A3I6Mh=->@8UwsVOMSqQr8pf70q(9N?lD9wxG26hA{tRU4ncaN)&-xvn z3pZ?2-;`}^^WHp2MrP&toPB=Z z2&@oY8^A%dZ3TANq3uu9iy;TXH%s{9bBUvq1N5126u#oYR+Zy7l~Y{1%Ei7-9a2u` z2)#J=2EK57#`8V}UgvQpMDJhYz0O-q?`>SNmo;Uzk9*%3AF-_B#aYA}+|k44TZDTz zu8P$S-bKGuvhRE6AiF<4g=cq-G?T-S^-|)#Vtntzda;!KrB7+kzv!xFVi7A1cz4IK z%w>5eu0E6a`I4d2My}z#*0H-N`!Szefjw=IxtKNWtbF=*j#09BPQP;&$APy2e@hD3 zche`XjJbW&3wYw4Ih6Qj+Nd*3>Y0lTa8Vu37t9hKYJ>G|WdxquxQt$X4ss=Y))+l1 zg~Kjrhyz3I#Pg;tPGA%7fnk$ZHK1Rpr zJdNNa?(=i;$hPo^f`@*$@yKb<2jt?xyl44>I{O=hhxD>|BYCOf zpLO0Pe#2<7^r-V`mtj567(iw;&Suob>~m(djNd)zgWlj)LEUrJ_pIwmShMkd^HlU) z5off+@V?Y}UyiP;Mc;UTkK${aM_sj{`hv+=Il3}^F>{tRyKeA}GZv;3e z;GvDWQ>ml2q)*yu&M;ae%T~LFAKA^Q-0p$v1Fq@`w(1rO59+w(?QxJ{*%#uycqM%+ zK1g?|e?(up{z=Q1i~le4g*}J=zxjgf*}4av8epu$yGt_ByWLoqm$P45!5*9PZfTs9 z@V(T?*lW^9COkB9j$0i-$5w}o`I5!p5VI|xJM3Q|x2kkh6yE-b_LNJY+9FYh&iilZ7k3Q1YftG8**ZRCphz-=Jj+h-GbcT%vqH$K@?PD_XE(_c<9H9YgJ2)e zxLS7{_u?Y6GnpT59+I=7_H@Zgt|hPb8MFaS_h%X{fB$Rh{(Rck8Nr%NU}??3^V6J> za@&0H3$v<$*q=xGm~F~+@?fUX_AI|YMEvnXtj)I)&-ud4aW32V5?78=-Tg3jQNj%i!@M#-+IpSFup1Wfm`xc!1 zmA^)=qR0~dycs1%!|Gz@JlPLzOSYoJ15L_1Gy>SdyKTufYkghBysP!3+R~h8pug4D zc|1qa-#+gAvf5$|$o#!Ub*st8EqT&sB;TIDt@_BNfvj5fd5)rM@o(DoS=WiLDp!R( z8bj@Jy?Bl?SNXahg!4M(4$7x(n~M*&9UidxfqdQr4~m^NF`qU+_^g2+!b^JR*YHjK zBA$phGvUhu{0mc$mhU~#^mRV|SLFI5`0m=>#O-Z<6Wd`xAC(!* zvhMu(4(}y*3rdv#)yNSqee{87l#Z`~mo6Tae7Ep`pW>^9M}N*l28=C&A)BI__Q=g< z`SuRVmTd>CP0_3NY?(Xwz6xH~z)u%eFTPu_;Hh})!g>K;yya(bX#TZ_=132l=CRoC z!e_lh^JBpD(%j(Ctb598=xY~d<+lz@`dj^O!Ni9Zu-ZGw=bw6Dvd*>mJQf)h%sX9} z$etHwoda{hIBYlIT75!4T)}&dt+zbye&D=QT#s9Brt?mD!qi``Z0S>F#QP9s)P6&! zGVbqr`kj8(zLMIwmrvF2Z2!-u9JcLi>c66e#=o+lrG~vG`E$b|_FVZL`?5*D^M13} z4-mnJ{vXP_j)qbNLRv+HEex0uvE8=M`FpBZZ%1)L3*SRo_ll|=79}67C1ZA(h z|G_WmyIUD6U!&jTr^>Z{%idejp$~JLfV(P&e?~f5{Im76EyJp(oRj|qSNZ;9euHcO zY(A^JesAVCc(!w^^PAg;8NAD4&Kb$Sf9`t|3i&^?&UeXK>{Y+SUiDQx?_#fd&&joe zH}L&x-f!jm3nwohT#bI%jUM-3^WKDV_NWW^TuY8O=4ERyUwtJ0hn&wsat+)NiUdD~ zwhZQ4<$5yk53ONreo8x2=0*-|A}_(Y{BAIp=M&4UHGAn>a}FfPv!=F6X~TUEgpAiX z&wpU@+=>IwOj;UzfVwZzPL%y--(zOm%EGeXH1wn9TfOshE`McVdGK-UohzyH?4(HW zJI+r3LwQsB&5EW~etdV(H_)`6lP%9!Iy8 zKIEGpFEnQTSvh3Z`{pOe8&dih?nm#4q^;vv;|tI81M>~eot9qA@8DKCjeT=)wq-wI-_Cjp2RZ z)Z1wE?Q?Lt99rN-X#_qLIAzUHeSv8%65sr$u}HkL_|}YU=1?|)Y?6Q2#v!l1bQAcI zpC;c~pOp5dPlr;jA2hmcMvk}PgT^^%=a-@TJ4%+>I?Q2H@C~hK3}tN zv3`reCvtO!&iXALKEiLu373O1y3dwTt6ucj zwDMs6W*%$dBEB5Nz0lSZI~+Z+!`2g4`9y*JTg>?_=J_o?AT95#dLd*vYEHCdA!w!nQ(qfcz%nFI<)`H zBk;w@JG`7khNc~_HqFksGtm(mL#C}G?BAU6wa;v}e%ogp90!SfTh@0t{kOx@f1y+C z-#U$Dt4-69^-gn&^;-hHV(Xwo;TbkRI_oE^UK~6RHzwmJ*!_*H93m(2UYy^>^{wQ%Hv=`BT^E!MtC#vjea4Xm}azSNy4 zz^NCHl*1$u$Qb2+s&?ni#CvRNOWm(LB+Hoxut8g7KUE~g)cZr^w_siPes?4JpA+o8 zS*@#IIgWiO+T82d2Qk*gZA*S*?Io=P_dVENZk&_s&kH89N9Zql!(N~7v}|(WVK{#Q zY}snomq%g8`Xc8h<@1@t+OvT5W!N<8hn_!lMKLl7Et{EttN2frE-lW-j@eQ|nKe!h z1K01Zy&vU1A{S||vJB4f8U7XikaDQ`>y`6KKF1L6*Wlv_u~yv8`q5;~n#H;o|Lm+t zggyJW%38H=sy+(dY*uL>Woz}7`7y!t)DN?EZC{Uq_bzxMf0GaR@c`k0!+xW*lRFBOi_8o3w9H=0CO-AHlyAOQLwIp-!w(vEdsf|4uRXh3tthEqSx| z8f#m*PpLHp-6f6k$+^BJ?a>d&FfIN_eq*Diwh)UtrtGDXq;mG$OgvJB-)yNZ@V$0B zyeoUzpR9hB|F`+y+0BxdD%M?P#JFt5Ct)h)ls*mP^PG0GnXF*H+^_v^`Y()sTK6%8 zqCaR|Lyk|$jEOAevo69uvd&^|pl{0IW2xj2nJ6o;;wdi4;NFSlGuX3;2e@<2M+oKm z)!0fcdRC6UqUf;)@WEI%knk{A&pv`r?k((`$F)C&Oc3YNb{}+Xz0hd8Du7){EJ3W? zY}-1+Xe;Bp##C&!(RL!wl11*bPHwHmPVZ^7^gt%`dub2GkoK*??*zvE+Mgmn^quG{ zb#lbozxyihMuvyHXI#Gun5z3wFgoR-g6NdvQmOl+H}Qr^4H6c$*Jj%!21&9uAW+f+OMkLR4mM&5}w{kt*GvfBql2h^_}WfEHq zfABqSt?u4fYLI^gJttaho7;}F)!52I##|lgA3e2Y5BDv`kQw}&du3B7?~&wf3Gx+)EXXKSEu0ht?`+_#2#G8)?wqgkm1O|>8%=0Sx zri`0Q(KXhrRI`^1;?IDQ#^Gnc z9?ovM1DO#HYHPRp^XHeeG-MiMMRNmwxe&P)VuP^__^q@%=XH_SCr-2TLb|-yr}*lF zcg2eR>2+44b!IL|tR&-Hx0vkbZogF{C(^JmgO2SL5iSB4jToAAjy?W^#?+ zxA#-VV>jAk4{v7z{^oPPTj_eEjXq7r;CY1D%P*nHl}|hN!}bgLh;v-!_i?m*0?3|=)4##V04A?i7{tRS{Kx@kBZOz-o75QLDLBH>?$Z|^TlYz7 zpy;#wgx_&59q^2p(RS>@nN|5W%&2+`Su{qFmvZ#d;I)iH<+{Tb&oM?U3x33JLHJ?v zKA2Y>e5clEd!KvoM7QP^&Kj)nfrsDdD<+(pNi^jBK^zXJb{r?+rUVvKOi z$YV~V>;~GG9@Cu!Zr|ppAL&ocmm2q$P6-$*lt)fyx$du>*4P4l_o7?Y0{<4jv7Pvu zy%#VxpXVOtL8E83+&hZ-Gs_qowe(L9jumF_jiM7`^aXnuV`9{c5c?ZNe+YMUc^mPB z+sy#JU2w8_JjmJu7QJ>}HamBH0sV--aYd*vcgg@K(UwZvPRua2xMS3~_Y&^c1~>ZX zNNs0!H|yggm}i-%W8Kd|9(^mKjJXEzj)`XAg}I+Od5kf3zdsjw%WirW{%Jo)=bx5! zBQ^}ZC?34-&t9SO$^G1=3B8gX!B@V_yh8Ao`^1w`+b7pBPtB zbc97adO^4~08{uZhc@x3mVVQ^pou)hUcFz;Sxo~vGzTmHFnrv^9L$-rZjJb8XZ({j z_iDzh+E_QQqwaqO-Ct@9sSKl+)P{8b63)cc5u=VisXQOu`-g{$lXJhVe*G%rm=!~4 zuYB&3<`4N#Il4dITe^R4yY8R-y&qp{E*)a&{tVVa(*5GeqeYyJ%kDR_VFml_S?Eo0 z8A*GO79rEw7mrl?4J*tRorRK&i|0Ocj{36(`K|qub4ZTtYTSh!*}a7FYuJ~Azt%h< zy?-t51oK<^!Tdj1%!&_9qwijtILFkU zYrgYXw8s)TAsoHrj?>b;oS*sl;J6gd?)WBOti=yrtkStnt3S>%l11oh%~_&Re0%gP z@&WUEXm@H%F`w#h%}Wj9(T4}|_2T*k=M`0dEalv>W6xjD9ke%y(UiRrp`8eK1xGHm zW06bWWn7dqUyWrQc{TD~ZX_Sl^K713`~OnU$VoN!!!PvgzoNBzo{_wl=W5pdvfVU) zxp!WA;cM{q^t2y+&8VF`9r37=Z?2Kgt}q^cwfI7>_N-x*yIti_(v z{BaL+sDB7H2YZ;u_PaJ1xtKL&*3i`j8Pl%ukrQ_aIdLbCSQ?D74g+~DR zSF)ZIi~uoobHG7zx{bA&KabpE?AHy;8n$|UhsCQ?LFq1D0 z9ku$r5yg#v8WC;z(CE41Wnh2Md;5cb=>4Y$KX{MIsqeZa`NEvWY5%qRIh*#F{_ z{j;$fB4*3)E&J)5|dU;^KSZj-@S2?_#q(Mmr{D)y`+mILZsLCj}1DK}M)Lh(BYNZ$foY`dx7a zT00mEi`)J+2HTA?iYrJU1H!}CZ&~nb+R?MuPRWJtUBrkTg$&9L(RxGe5wCmn8|2xM zO(Gki>7;H|kB`r+>P>F&-xPJP%4S`uvwwq_Lwb>KTx*nptWR!w-p^GcM$T@=t89jw zh(o^Kf6RfRxnr@(bM_kW{d(d&?!$J_y-9KC{&O_&gOfV-&3dCJPol{$?sPl z4Bkm@Ag3+0n>wb-x|`>7#(=kNEW%k$Crz(tXCc%e`eKhiq5j`;PI~epCc!A z82cr39(NF7v%Ew8kK8Or(S3)zUe)3_&ft250u@h_NHVtx9Cl(cQ--l&A+Icr|953>4W`UiR0q&`Y~ zX#7Xa_t6(qLM3fM>4v3OTJX+EQTD6}M) zko|z%gwRn9wEb$2>x1qb^j0_${OJYP!K>?n_apCG&-{|H5ah0jkGQ{HcRURpcx^C> z9iM->+4hT|Jq}F1@9KGda5p}uW!%424c`;5mL#QDd!qx?&Kvaqe*OnV&Z_#`)feQq zmS2!RDAK)3a`fC{n~v1z>w~S}yXN8QV3NG;)x>h0vE+jMB5Z2(&aBj%pD(+qCu^{g zRlzeJGTJ^KeL?=0`%_ycfcLe~9b@d}&mGt5<@0WQATE864Y$YM7S?KgVO zd@Is=FFx!jV=^BdoL~?CAIScB@N=;AFl#6Mt4=s#wq1L=Jr?m-SYxq>v6ul2wco(L z?q7;E{uT#g^sjVy2;E%6SpB@mb=F-4kDO|@sjWSXCyk@6$c3f97=J15u`6XYl4-QP>Wm@v->&)R=NCzKTT`2B&am5e@!U<^ zykKsf$~wUVH|2r1k+{iSz&istt-#sJ812yhBD;N!M=x)SvF}{|JT`oqHTT)$Z#v`8 zp8xEzXWxq=o=ySA62{@qGT!|7fpw>vd6(9dfnH-RycV=3I2&8S_$ryZptY7~tsOrhKBF7(g`e;g z%xj5nnFgMcneNP?erPq=+roF+OM6R3hOy-y)@Q;=xCt-e*%>$4R>CO{+bS2FGHB=d zyMePcqKWzh}@5$fVKsfB0U1%>1C* zt5@HHukcj6ckx@GFZaa$=ljd@=)aYrir^e@k#DVmF_VB_o7nd;R&d4-{V%?SX-Bf8 zwU-}WDi*h7#P#y2TJn6n)Bb$g9+npgmh(B0&t~epi9XDGGr6o^;jI>&Fn#j??f+@w z^+Cx<1u$GW5np-}OC%rPZ-FB@d1F+>>YLvJ>v--pQh$jjNAtV-`kRsSgR_}mcN8oQ zKD6eRpydB}c=`Z3=Y0BFK8-PFn^pI*?w>JxR{pBdHwR}8zBxDsJ~5u#PNN;scGIY( z!P6Xi@~Crs=K1+YkC-34XV83$r{eK&%C^$}E3DJ{0Xu{5nImopelv1Ta7XBdpnPUN z%IOXgYmWeVZ{U81v!S;qeK?51oSuu_8kD+~EXkPH+hvo$XBjyDc!Y|3XcrDw0G&ELDoEN+y z%=&CiW$+B%OD^vL&))&t$L|H;cl?<1^L-=Ag6E%7k{_m>dj^$R_{m0YTe78nf5h^a zql+{TC|*|cfb5R7{>z(7PBO+O{H%Yl_p69q(_WwKjK1I@yW?(u`6I2Frgc}Zd+t`g zQ~69~ll&9Eq1Hlc@jdN6(@f6B_xU%@-j15PsP)`JWAk3@l^Ff^H2?1fdNyU@EBe(u ze74w}wXD0Qa@S1p@gr83aOPKMMC1I2drup=6@0>*mJin1`Vc-`t$Vc|`Y}AW_S5h$ zrCx{xmtg1BWtd6sPuemBpV8l!Oo&dU(TL&3?94-Z;GLR8niQi zHkb4swp#sQW=$JevMD-P=TypA_xs^hFX(4}Z7%Zgpx44V2P(Hkf|Why1?PqtBiOMG zR};I>9`9P{49%@*9ojo%MKp)J2FOe4$!6O>-b^gpR9GEc&p0%rW|Fwc%|7I{IBFyt z$~hZu7*)_lzKn`i{{ZqkF#d|!8xHYK_)D*5f0NpxexD4VqssdPPYmWP@x;Xbi}f|e zNG8_vD*XewH5XC8P9DjMf_Qh1^Ze;Bp-d)M~`w?|_6y6q;eW`Kp zzE?TLJ?qYh>F{wF{Mi7%y20D&@XQ~z$NdKSW$WC+R>f09$Tc9@!q;TQvV@SIn|W{O zPE4NF=64&bgYo6(=3Ba&bxs3gbsPI2`YpveF*SNg@Dpe|k9wWuQ)5_um^gS&p*`so z(Y6nrm3m^Cbsx9l8csxB4a$9wHe!Q_ZUK;USCRC$z9}=)E09o`?2IaShu1_ zW9<7z+YA3-FX{Wtp*j=8I&IyGa~joO)9&ghm%6W*J6gAd;O7r$&($vm&l-baKHV`H z4xbUw*}AbW+q?8Z*F!YmqFg})ob61G#iZV!lCjj z1}YV|TT9Lz(WLsUQ?{ti-F&W*{-wVj<}BPh$J`bSUNiB4@`wnw^0Jg+6Dfy#JI^jM zlChZv_b3?21@LVhIWEPw*i6&9TOkS_;+uHYlX?;KnteWKU{mpd)cwn$Tl5M}CBMtJ z8Y7R>^Bc;3AQnyV!bK9avoA)d%YppfxTm=?vWNj*aPzKI(=%+H`9E9r$@UoD7 zrCNAcWEd?kWEw3k$Qn5eUVDi>@^bvxh2W-r1@&z;xdC4R=V`R1c*hdxaNChhCHS`! z`>1v17WSWyqVCH)i@rbd>E&p0r#JEFw$;Xi;)sr9`4|2N@J-Q~}yyazj2GFH()d&K~3gV^1c4ZLFfT;!V^ zQ|u{n*XC)hC48nbS;HWcCmtxN+JL?f4~@3Gir*#G>-yljTF(8mKlT~^&vi$UhlIJK zq1H%VH^!){X5K)illX5on|zw+nE>yE$5exP*umw`_?K&0ODJwJmwaW4XBxyB=mGd& z3SCEut^#zdk-Ng(kI~*$9doyEU;ERG8;!ZQG~dhEJYfj-U%!c~+3)Xl6YICWL-FZ4 zw3PE%4NWm{#;yk!Gr102IoD;a6_$hJI@agNKoa~mN5B=FlVc;CD~AV$>^JaK43+#~ zDL;3pf%_-pZTr-n=e1Y+S&?k~KUniUeUj9k*OW2XALy#V;B0okxbfMEw*?Ex;S~n2 zO@-G6?|Jw(*)eU8PrNo5=WLkP-zCe9WN!yQ&GpYC%RcM})hhu<*@eO>1YL?pQv9Cg zqJqDt?yrGoVR**A*yi>0Zyj*dpD$7_08Xnt<#Q?jF7jnUe}l@xOZMKa^76@qD8GkK z?zXeq?@4)+@lt%JU}Ud&(<+1R?PIhkrcU*r;<p0#%M+VX<>+>G26*O_KpfVk<|y>nNbW`v0)>el!ax_u$OxyW&5Tfflt z!8*oDHNJ{{__1Y+-BeDjC^1CXs4T+pE1S=A%v6 zWyx@8T>USo6ERxHi6>FcV@D}#Fh@m$M)Gg)M{om$W65958Z%_ad?$eG!W69UIdIt} zObauDF7U!!bOe~v+qDJA@SC+e*P&ljFB}_N|1NRnCE$ge5%+5(=h8-kJRfDqqG+xG zU+HK+^;Bma`djU!tNTOYYjmvp7Ij@7XzlDif5fw7IwA8WO(+$&`wchXyl z67oXOPWj8B36ZlX$GjJtgl^*;_EXFyvWH{DKz6Pl#RgLS(CKOFlXo$SzK@MRw4RB- z-hz8dntD@#%bGYg_0W0-djzT%8`-hmK=2*U{$7H0K?nL+2dR7@9|v zH}lzB!!~TMpG*B)(6Mn~dCNwbFI3jVhwQ>4mZbIX=oq*C8roN$2i=*m@a5eT1S87Y zNcE!7x0tx;hq{}|zq7V}BhyTNP42aceE%VFlUw*cAeq{-pU?656fK^zhKj*sLve}f z8-1s*;$QGxeXQ^FeRLl=yzu+VUbSRL?D1@iqJ&-M+MNVEsDeY6G?cu^7o~j%Un&$eECD7_Zs3j#y6Jn!ZtD=Y4yTJ8QhM zp0RYqPgLI35vQReC@UH*J&{kG-i?ose>PBGIB9HpWmEi7e@ZTu14w6WT=|T; z{CMXu{6P13`*i)0_~Fqr(Z8g&=x%QDpj$gV-O|$YGl!o0I??lp=%LO32|ee#^t_dx zo_HsEZa5M>9zALPA+<&K9*LgJc6u_?(sS8i==qK4q0RpZJ$WuYJJZt>VsG5rKa-C{ zPZ4)UIJ(}_|LFPXbLbI=uI}x0bx%vzu*1;xxagv7(be;*+MPEAdajWCN$y3S_f*~m~{ktG(Tx>(j4WTpS*KS13oJCS&w$wdZeZ8Gw{%u z>@0)-fHu|7YOkM_w*EVZssBsrYmQG%^}kkw?seDwTGP90|7_N4${VM9%;n2?lD6b) z3R7O+pWr*b)qlYg%l{N2H-Oe_o8K`!6E(~HGq=qM zuXvbqox!|qQ{*4{d;W758m3YI&YjO*c;L=wE*#>y$EW6&VE+()3(k{NCgg|W{+fU> zu$P~AFW{$IgPl8?_uE)6m+;=;-l2jFqXir)D_N_s|I{l)KC%RK)Gjk$m!5=%84>&r z&q4$KsQG`UegpSPhoFr$_9%D#Gl_F-3-QI)5zC=^l&zeHts?ql_cxwtCWlie6B+v` z(0x=a)3ojtaqDke{Hx~hqOw*W>#suiS^o076UvdLwb&W#eYLF3I&Sqed>VDiJ3{`* zHTd}N0_T#D$y&r;iM=_?PwaciTURxgI(rg2zc}~h!U-?DJ*GL#x`-IWEgyp08h`i7 zyYXL&o=;gr$j6#T9&N3k$AIHtzH3kE84r$0?h}a2`}c$>akf!>%Y%P#^MSLWS8%nL zP&%5tL*NtR?CjInI&tFC-=hvV)aPNFrTjUSA0x}B<9})|gP%?Hj%S}M27iiyTlVtM z2{}KQ)B11E+EP5KVNGhUF9$T;%K9?J8d&Sg6l-9u)A!&*UB%q|SJs#A-i7344E-h< zl-`iN*tVp^vKf)*`V&Ukc?Qepg(k$|(a(`}jsNx0pY41MpUhL-6F%q4jbAjqT9TYL zdHWaLp0C+CbnrjF_~*O6{}_36{TII~$*a%ub3Z-e9-c% z!pz3H1Lxjbci`^rcl6HKe*0tHR_ko=OCK$H{Usw~`}(EltUmMT%oTM;w-t2_r z?YH;K*p7|b@?uuE74KymEq@$otol{qnT@i_CLxemjb`bt|L}(bD6V7 zEk|#au|}00%X{h9m98E89_8KjK!o`!LfQ9--+!tnu@%Thgmu-u@IkzLpR(eY_$NDC z{1e}HjWlv3JFk40n)NHnG8SeG;F8(On)JcV%ZgwVd_g6SO1UcdIl1iXUarA-dhQ@uQT9_Gle1dR;nQ zInh2;BYnJqe$S+jucFVpOAacHmg)5SW`Fk;!|3;q==Txy`&0D$u-m4uR-dS^)$i&L z+4`4`HZIvfpKmzuoa9bw0uaPe`s{u{`;k8uO5DM_Z1tA%oQ8x^9={? z*#2n0Zrk6d&)?6=T=71Aejd2m{hh%esV9>c!# z(l1)BqMqt>?thmb`S3wnUaEe!={Dgt1CKQ`Jdu|BzcpeiE;bWdGEvZ^0ON0i}1N)W45 zj^C_S?Ko}3oHkUqBr?gW|3~V_d#9;SKXtAj_12G0w(2)iKbEdO{m{97#9Kc$#j5`p z_067)d+@j99NeeTcN$;64fyIS;%9IMF1N|wGrCi{*~f3vzw@XkdPQfM;~(_$D-JC2 ziggaL+vDngDm*j)dvqGu%;L4hCwMJBFB6^_Y3iq;Gmg)ugub`x$4;{9Uq}5AdzoH3 zUEjx7m!Y>E-$w}gBKR+L-oky>8qa-}P3}Hx?dU#h%(>4SJbg2%xuX+0=mYAGr*5KG$GTTLbsgIbxVCN9x$X$+#?bp- zxIc30I(8~`Z9BDd-9glibnjSqE_EGSpL(3tO5-~%2j`xmw_C@$%N@9mjZOVPT3&rS z9C{s}t;?&coVuC|m)ri{L+3)^enQ=t_w0xb)Bz1S=p^|5b?0zo@OMCci)~E zxycx76#jjpc?+Kv|CktA#2Qw*5PZ{(?dUpdd~Ui0Iv8j5+ZNTl_V}&+ zh6?t~3!;wSAAPI!%?~LrI0?pZIymuP8nXn0GxABnxJ~?-*{OZzV|3LfwOx@goOOoP zeoJvz?L&vR{i{^|;*RatX4+)HD*0A5Y z_38g};r_sJ!O{%#iwL%md9!^dxsUyCU+;$1MZ|1;ge|c@_x{1e5muhd+NDT)MA&EU z`%-dAuV8q$(aFVa_|Dtk3$E;! zqHBxWadG+1+L^lqeC@n{m)t!^>euM49r@lJzDLgJ$ak%i-S#UY{`R)(jDhEA9(uV8 z7>UIlVSGmU#Oa-2FmJWP2nE_#f~vHeFWZ;tKQez)x92l0<|v)X?Tze8Q3H*10cO?3;e zYSlRYQ5Uexg~qJe)N{x23Y9;l6Rf@#td-U{4rRKqcGSgsbbxh!7qE-i+cI2@dM^3zbHw3tmp&jYU818A`=+&Y9L>KKFmv?MGLv-bLY(M`j zFW(NfFTVY;i}s_}c5MF>%7=z@Y(L`|5B|~K9q`}OMf;uQ?XN1|seQ$}+|QaMK|Jps zVijW81jXcanP`+hGJ-y87;en6>=N^+dh&p6%qQRDbGH~9x9+T&d?Y;@>O|WXV4Haz zX%o!&F!GyRTxUD1cy@gb@jtRnq?c~uEC9aLw&E^eB`)a*>nhRJ zuOqDd@gAD6gw-KcO46 zzS3GwwpJl^Vx4&YE%NHMm-bgoBQ}k=l0biJ&)8i9k6^FCeeUgfe$Mm!u;*Fvu5S5& z=lM)enbDr-n>^3o^E|U}-rmmBp64l^HjnW<6BFEC{zA{Q*Vfa1or~KN`wnr-HYE0^ z{k`u0RvGbDHiNfseP5-%oV>X6~OIm+_W@AH7BUye;`hJWq>e!FZ z4W&=eyYe$E7)6Y!<7fEZaAV9?#W^tVDHbGlrOqBH=aI%jPSe|8r|w^HqS6^Q zi3^jCEaH6L32zf)IowRf$u*&|QW5QE*%CT)?~cbcM!_Sg7Yc~6CuW?nQUV@o>u@$q zVtz;dUM;+xec;ah*vkDGb^hVjdZ8k6v<3VAUmRR7yayi!_PRC5I=F4912_6tn~$CS zNX88v;hud2xSXpU_#k&|)D?_&VE5=~LjiX&XQjUZZl(h_7PsN&Qx&H8ZU{SsYn#H z>(e)!cH=A3^DS~&N4|YS`NUBjb*XGvDS6K=8b9v|fGMffc(eJ*;>q zSi2~1Iy%&F^r!6P#2u+I{=Kz31)~mMhu{dVE0cm1bLqM>J*?>Lj&!|9`3Qb8uO2z} z06ru~$7|1`hI9MnM;L=ostu1Uml+3rO7}7Lylw67Vmu4~!?h(}kMxnowRDokP1w;( z3;rubZaE{z9rIp#{`u`eUEqDc(xW51?>F$?nydcC88!55iS|M8sTOheb2ql?k$7># z5%6!H_oBJhymwWnvcf@hxqbd9R@wv>5cR|mmsxzTuonLoRC!spyI@TH7MV;4GXH3UBS9d|rOR95f$2zBV z0jEWEPVQKzD|vfdbx!P9XE@{WNV2m=b+Dnmyq?|#Za-I@Q61}WN3;uPN4mAc?W%)K z>xEN)5Kh`U3svX1j&=U_&5_|$s*cuD9=&*07jUjroq~>adUQe0C8`tZSZ7riaHgqF zuw$J!p(ldgi*HPg?P?u95M4Z&{*=Bn{*OK9lu2KD<`0j~Ov}?ka5$XK$41!4e7~cF zeCe*=cVMUTmfmE|>FUjL_$0hE7i@rA2$8B_;3)9^^}iw@*#ZU^o9BG|Beqo>yi(-?fp=vvN;YP zJag}#z(I5ImIqQ}|H$+0#Ghnxc4(^Bckw>fI&xY+vqd(uwf1vjC`{UWg7F}GMZbmP zee2mLPCm%{M$bCrue2%o)EedzkNsHec|OJS%sHv{@<)4~eV*sOp7l)1^Zs+s^DfWx zUp&uSJzjc`o%lU*vf%@;sm9dCuqAnG4d&^bq)VxN()&g+4s$ z2z86PsQX>$@NhLoob^RJ&ffLK=SQeJ+|%!2Pk(*q;mH-A_owrGB>w#M2(ab=>qvEf ze}uX>Q8yLHc}=lbin&s(Rojw4W7`Wxy<)Evcl9ChH^Yg)VNC4!a%P5oX9Ia7$)PaH zjk!`R&R3UpYy9oIe$EwTHr`6CPO`E)@s(MPbBXbZaXwdZI-g%gJ{>a>y!wr)jTyvj zDNgHA&hXY9xXX^!igk|FI%{=i7qMDbK%a8qKc{VRrdh8X zI+tUPjwF;upH{X5v3&=hrYt%HFPJuB&lk zE}|!Kw;}v!r5(kaUhCm;l(8PAtaPo;DVcqz+W8WOab`8sY$@yG+$+s~oBXpICv~sd zZ$y920h&z{*Bw>=H2Jdj`v+_n-eb`nzdnsTMXhF=${w|kv;XY-y8k8bcCU}H20oKG zLxbG78FO!Kj*{=^749v2fLsU}#6_+QUl)9jb1VA(37>9VeR59s=q2weCzpK}_^(ep zvufj{v#Riq%>OfGg~Jb_b3eH4Uwc%&3A{QHGS=U5c?pipv_3J{T@w0sFem}S$hR?dQYj2B0NROsjagkvfziQQOGz3g@UehvTm++EE%`B@F$ zHvN|F^4~&xa>N;GLD9dVgxx`6{P%&0*vzVaM?76V2ennR`3l zYUvT^{`@ktt!;_oSf>%gI-PTmXX2wi3*B}$e(D^{PkkozFY9HtZHEWT$ied#`!706 zseFK!gP)=Pof;jyCcvGBSjghn=J@+>AlJtvkJr*4!e3j?pp%(PkLR7i)i&h_fhFmVFnf#OSS8V-#I5)THX z!C!qW9;lwHgL`!<=heY$p--?B$5X+cnd)_pmlCXRz&Y;30J$)flSFkD^JL?BXv~x9 z?iIa`e@tUXedV^Xz?t{;UiSu1Wju&)@+ns&208x9yrw4FP~4}hqf^Vfy|xYg8jfbx z_hP@#jl(%3W}dIOn_SLz;)~_(U4P?~%-M1F<(92A&X@l?LS7zlm?0l{n0#&(ZY+|G$fV742)`tM-BXo){hPJ`j66mcAhN$C~$kL!IbgdtI%% zu6+TYSQoQ55e?QCI`_gYuQevFS!`_F{bsc%HXj^!f zgz_yK#KY~BjR|*8+g{t$D6raYKeNZYyvlIw0T<_8H(G7)u-c9tYj=99J~*DIzKgaaoR9UkJ(Tj1PVu0-YCUbo4z~RR%627(G2%eI?f0gRLCm1+>`rpH z!;-^LL4BcfSLN~&W6_c1(BwW;Z`)rTOMeDB%At49k}+z{0X?g2{jizy3*q>&7Ozfe z=FSn$UW6HkA;z_93oi0JD@NOWKi%^@+Vi~I^ZW(Z-#*`@`NwPH{1)1^XDeN%@g?6g>n5wN;?nK9 zc3gVry1$}s1X=ag&7yAkL7mSz_(OGmIlA-#>bh~OE?k}YR9(fb3a%T=-Z_5s$JBM> zR^7VF(%^_Pb>D^0!r7VU!8v{G z>E)u=iCcB+p6t-;%sbRQblwrKE)cz*Tm$N(FP;9?e7D}7?>1?^>rC$%qSuLAb>S8R z*OjCHFXL9-HkJFzeb%0B@BXzrQx(T=_nvW6Tq*Ma=U*;LU_mPVqAou%;JIEszR%fdwGWL34muQ{fhhCF8dJ*%m+lI~y zSHQD~-%QGmB!+SC#wqL>bEe6lUW7SC`c-|;XZxD*^C9rA(;Tv8tT9G-Xz!eSbF&0r z`{!lHk-vzzy*2&VmnJ@B&Kbtonmr}SDDhyv^NlSg?QdaTHWJ6N7Qh~gn5_+?+2^b1 z*7^&|Mj3lr!;1$Eoz4)L58C>Qb$~S|{|UU@bw~s{r4tQkRD8xz=1$fgJL-sEZ&@C$ zuZZf-Qg?50kQG1sW9m<%O!K-^>eXglY`AQp9k+8nPV2gg_`y1L{mhA9vsTg z(>HOkVE?Yfws+ZsjP$o{UvnnU^X%ss`}2|K9h;av(a7LwR{7Wuj9JR<^Hjyr_0L;p z8V5Etbc@b-hBifi>g910LKD;Tz_`uY@3iuU$bWoSCmtMfj$+)Q=NLl7kE*WrkQa7U zf6Srv4X3{3Y;ITePd&80N$h~&v)`ZmL8toaLyZ%+AKmk~9nRKO9KS+w+wR!%_WPxb zv*_v5?Hq;NBQ1FopN&Lez2pv=YcaCSMGco_v?O{Oi}br;3_U~^b5G{Z8?CdHTcq+} zUwGGXi5u;{knD(_VWMRi^8hq#ecyMH>Tewwof1YSxAuun+4`NaQ94U)Zk_6%_&npS z0y$rfoL5-;v4Oqhp|p6THjk#gc-Wqg)t1W>#-}~kn?vg-b5HA(rNtYc0nT$@6Y~a~ z!>v2xH+398+#$6p)G1a_@~?5CzNs*WIqUTSP0vx*8k-dddEs4m#;@zhi#?Q&5y$89 zLUq&eLVSouI?9OjT$DHu@l<^Hi|`!Oaa|(0keulJpqr-$-D=Clf2B58(?-MJ?0x>e z&V07q-#6`fh^N&49DDv2p6VmTTW#&bIs)6m)n{>hVMDpY%hhLPA&)+bj5tJwW>ePU z*zR}iC(TmYlFWb+F^LZ|?$CG&u z&x`Hn*mRz`%TM;PQNr`6Gp*+c@v@Ox`#DZNoXFeub7(xzr=De%F|ko1ciYd~-sFz1 zk}>t)NAC9TvGwh{%uPP#GHh+e%7CUfMj1y3!Ed*-H^F^SO(DM5JwFC}PX17P&q8$+ zGm`C;l@6CI58(TH`m=rR2^Hc)GaHSNxoB8k(*vEG4MXlyEC-x#ne4{JlxwMz)wDvxnd`F$w zMOQaAe3Tm7ANpKrsw@&&ogJ5+v|FDX~I+HC7$2MZ?YlU-I6Kk(hBo9 z*8T^1zy7T`Ry_NYgN;>hY~#)>N0)@7g;qJe&jQvV?HD7{w$niQ+z$?INAE|0kND&A zAl>}XuKVNvGu=OX$DuImfVmXhJJYm`_cww|)(~P6*;~-Qg7z1*m!N$G?I&n&;ePfB z(5;)~x7U7v_e`&NX`kc%-|r2eYgVa!^@pXqV5YDrmEMrfkS^%Y_qy`a z(&~+F?PYDf(Vg#az_&wi>Ljni>FYtXOWEl2gL&PFZ_d8%_n^wbvXiIJrwWGurFgaApb4+LP15Ijg;_ z4d)!bYd(oSe`1$#CbZYJ;hZiwB`2kYb3%Jr8xEHQt@_H62zCSHEYe#hn=i~OeHk?oR zt~lj%I$&3OSsTu7zCR*3B_q3pv!lJP4QHp|JU=omoZq*Xwc-4M?=^zM*gujEc&fdg z4WmUc%0~bry$<+wdwCnqM!wGhj%)$Nsc24jW5e9@$jrNG&m;elx-rhuloCO8s566Q`hmGQSb2QubZeFa{Ps^%`nM<>+JJTKfTXyHFXopdEmjh z7j@nB+dDkVhu7P-TUOTjds}u(XP?%Oh5upVlrMGK=+)jvue5C}JVF~+I`lZcQ|PgM zr=9(fKRQAiOB_6Uw&Q`%IE{a9_7U2c>EPk`VZkF!eh~bF(~ri zF-K^_Kt{{ym!sO-I4W%$g-2*3gEriLj(XPD*Lj{V_dK7=v%AJEB;HE!9X~02Nbe^N z909%?L*w{(X(PRl_Y3akJ)CUigGVZmO@5IKa&G(Tzns~vF~>R|pUIxFVqtnTa@L{g zv!b3=@?*-MmoB!%z_!NExJhH%>u-D=*imBWqK-dLu_cMXkS0I#d6@s-e8X9rfp&iR z3kr={iXFihx=B7rVmManE|YJ`Z=P2;vR<(px&5L$pL*9*|C||JleCLoWsxIerE6316;fg<1 z`*G=LjP$ePI(Kz|fl@g_exjk#Ct z^O4sDiC5X{BWHSnh4T>Z@b-_I2S4=t%gBmy4$1cvC5L5dnXxgo%(rptyZ(uX!%ule z#DC!@AH>b-clO4-_}$Arr(?0@=IrTSzhNy`Nx^Hauav{IA~DkP5k)i3uM!VKS=^Td zk4_a|z~OLk6`$aRJ6mwsH}k^133yvP@Z=|{h>Wt}UAN4J_gT?}`JVwV*M&#kmvsFQ zq90~Dbe3VipRV$p6R~&u@;}4?DSfAuk#`i@_$KARZnuNGk&9}ue~xa zzMmDHOD=Qev6@c&#F>l*#ZH_<>_oP;Z&vFayMaT;uJ+b*gqNF}1Gy4T%Hb)Up*{6U zo@aNjOz(AHqg!UX=h@viv*sGfozv!Jlo3A89@EO@0XtukSGNnFeYxy6(l1thSf3)Qvm)M3M#7Rh|*SZJ(RT1DY;AVJCH?ZhjM|t{b0VtqI8Inr=-X zxGzxGq;I@9>ugN>yiN{P;gAmQX3g>$K3b^IVfkHn(5t?>xJ}Qj$z~Y=Gg7d-RowgT>y zxh}Y#+rI(^ ztTNXI=b*=`KUSG*gS~k+`ckHUNn0<1g`W-J^-KPw(#0M2P2c_h=Ls=I+r%$eZNu(In6p|L(~? zmOr<$lK6oL<0g`u-uG<~yAWo-N&6|%p@o8r>_)& z@1y%Qcld4O-oqAhnI-T=A8s!!I@r=lD+Sj(cV+ylRiV^)}CpZ5}Gmdgj?lYq4K4zfV#VX}=$RBClmQ z=pNZXJ#4qjc{k?!P5<4S^CP??i?M=yc^1zG-CcMGkFa0zgFON~$S>^(`wKtVoBd#K zC2Y0Ub_!?W5%xAe*d@^8`LA|_eZdd*DnHl{5w=>pbMee6z+UDD`)Pa^IX^nN15G~n zgI(eWyA;ocoSnab^I<`!NsaSMRP88;M+Ed zq0ZZe7ROfGM`+^)1!+f5L8m1;B5LbGc5T^?v$*+98nF)o-zRmQbhXZ6J0Qm`_(nGQ z&9!s3(#hI9EGgC3I3P2k)Pn&>0gQ(GIIba^zwB?vz@Dd}>= zpvBP+gde#x>GD_l;^?QbpY`GLq|0yV)zQfaKeQ<6@;-zw;2h%B+mbFnraut98sSwt zlP)hrcm%>L-vE4lQS=e$yA^)|e1uC7=J#(6`<^zv6Z07MnHSGE#G0oZ%e?;2pGLwi ziO?}d>(PIOJrEr+D4KnjdbuU`j%fJ9vS*{bnE&9te%G1dwYLS`P}_ETSnco5*lQah zBRg=O0nUnzjKcSHx8~VumkicwW8z^GU~jP-=PQu@vDhmfb0gw#R>X4bL*5-^hacxB z*e7Z1od|CD;bop7UKV`;`#yNC0P`@tB`8?HXeIJHL*+b%GRe6YX~6M@;|0f? z`|!;Y?%TT>-HkrFJ6zIz0$}^oeInxi_RqkIkg$dYfOS3Mcy>Db8vEW|fNLFN*?#}= znQcx%IdkrYzRxyy0UVB@l)K+s!koKV?Qi4!IG!8V2fi%hyT6yP$1MuwoBKFDPMobn zAJbv%lW4~Nh(p*H@iO*9XgDwYF!n-dnyuR*?1Rv77Wwv@K-WwFu?PctX5P4x^-WvoM*c(9@iO9=*QJQ`D&YT+nHGki9q&w%+XhTl$^vsnuaV($I{&#DB?h=Q`R2k(#X*I@kev+S>a_Z+Y0+`VZW<+xvdL z18KBbzs9riy=(MY^K8LO@Z}rlyD|MrX|5AfJe(J^j!yy0^=hJL3HA(5B<(Q|LC8FZu+|6V2`A^lZgA#&3Qf0*>I} z8h+nA9`7@qhh4HCGG^qrB9Mr@5 zdaAbM0M;15df+p==Y{@G&+~x6ae&Vk@m*{q?q$TW-0Jh~8_y$b^nvyuo6q;MzX4C^ zy9S^3^SvQ{+Z+3H8v>2%I>tt{?=52=*I?kmIXK62e%ITu9gHy@b(wQ;>Lt#>4V}(+ zb_gqwe(Mgn^=c0@+e`gMnKJYn_b|67u^sa4Jf5M!c5rX;sV>@BV}AW7Wny=GWGO{Y{*~!Ecfm zsC4cTXS#;?PqBW$JS>-obSHlK&F+4$p}(GkEoR4>329e_{rsfcby0)1ypFU`+coIl zy&Lj!Mw*sj}$ta9E;_?u#t+sIXF`^P(K2HeE2(q`7Q66 zb?i@)*Pxx~Pa1H|?TNEfqVz4nsCUjuR~y@PFjBj}2zvh@zB}xKK3|4!g0 z)tFOI?uAU?oe;`@Uj2w#uJ;&n$#x3azgvE<_4^1Vr#MrN{oB}kX5euU^t>Lv)0|(i zo}6gT z;+&pE&`F8f;4RJ}7}GG{`vYW43&q(u2)_=SmO6s_`UCA_qu$_NHbYPF-FMJU=n3n7 zHsgKwE4}OfWAwyM(AWlk8axvGp}aMZs;#>>c8kFqywmP^2y;fkAAC>u65gp@r}(4e zJl#NYhIk)2dx81=JGaEBZ)AUl_oiNj4XNS%X3Pur?S|ixw9nH=iGF@*uD*qB zF!}`O?b(fUuUqjB_SwF+y>W{6^k3^2<=KgRpO`e{JH-b5R;oEnXXD)r!1C9jzk-|x z(xE&zmi+L3+d+>~dU;#Q7*38_5&-O$Yh@4co@^VxuqyUcx?o@+tI9z6TK1 z;2EQN7Nh_CJ9u^e8Y$m`#^4ocO#3J==f>JybG`C?c8+cDYVdAXb$)9rWcx#uW1rW! zr~LhtrbW=XJ75zX2407HsP#%^j~MTlVhy`42lhxa@=&guVK;cj@Oz}*vC?|RE$Q0~ zyM%M{!&l+cVa&VE0lt+_hXCK$J4`sjE_s>fkw~6+ibMAHb2u@_^4ceS_lb1>zM{+C z{;2=U_|OIXentYmEgY})F8(?6b~3*I{21PcA3h9Wd}|^f_G}(xd(N1krsbR)pxrL^ zC(1AQmiN_z#|nO!;)!)*UR{{e#&1Xr!uRDD>bcRYhd}S?c*m(3=l*g{9rJ~=v@vnM z)Kbt?yHOka0q`)!=mOZH2T{i#p*xz{&70D>{b z;>@vYPlKl@SKN)~&<)3V$-pfeJaBGL@C>QWYqXurZ;Z$Iv=`s8H|qW!>eaD6Hy8Zs zhW^|Ydy3CPm&}76DS-|i4xK`|HO_>hj6NQ9!f+X?CPP;~m>~MEJVR*h(O=^Xp}qUMiZg`dxlzGKhd+4dmWS~zk`!B4b%xN- zj_y@w2)z>8Rh%I-9z1_)veP5wwogM|{Y^qYw9eD^iar!$+k2Ce)tr9N!|Lp)m6$87 zxJJrpbF9?Ev;(p_4JcB3((-pTn1B@MkXO2A@y{U=vX{ zzXx9M8zYiGq2gS3gCEFO{QrTEdDr1PtcoA8EsKvOLq5otf!V~u{gFKDGuNmX}Te0|NIDE1vanHxP;T+&`7Isx~R7#Bt>!Su= zx1cR8@N19zAitHmDjd9}zT%ls#o#M-RUvrHF_!$D5B|3Vg^F{($YauV4|q5a`^R4x zHe$=Ckco5nuFO!#!@0IKN6&|MIePZ#kS*unXPWd^o&nb7=p##0w#)@D&*8iZX_K!$ z`iOZ3SQl{y*lRtsx;<82>NiVWpC@_AZ*07TJk&eQIFmRKFP+#&5(}ISUY=%tV@y@N zWc$fW^2*9f@}mLkp-%Mmd%=Sk)!*mD^L%cc)eSp!3H%T2mz=wOdj|V|V({IQ=X-O0 zh(0UlX@T(4@on%y(5=MH>T`WD0DcBeU&c?tUY7pD{q>`#coOu}WSj*qZ2Jl~0S z5jVE)Y|_ep%@^9^9)a#O`0hYF(=^1du*5riYhx!Mp8GZUU7JIYr*Y74INLt^J@~v< zLpGDg*_yZqoixipKK6t2c&3d(846^lQGV1MZeI`d1!FJ2Awyy=hy8EFxwHA)E;XO) z?EJWKprh19k#auQa-)zP%IZx>BcGc4YGY^Pncw4G3A=!M&%lp;c>(sGt%Plq<;NSB zVdtXn&jSqzgL@JsjE;K}2_vx+81#8wjed)yZM!f0iu4P|nR+~X?|=WDjlXvHqn##o zC~0>ZX_V`hqv~8!epAGvJ7Y1{kq+G7Dd`~hclzw#0UdA_lutjj(vsy28{r?QPvgEX z)bRo8H~KA%6RKEh+4G2k6h`$pZ+r5n))bfhs%{}0>1wQFTdi}&CC z1^;>UItLtjN>#7uq*=I2&@6t#;Ar_P)lvE0FFp=3bOh$|vWj)vyUE zle94@lU_a8x8dJm%U=qIEsyzcaRC%?H=N!WSsB}nV|j7v)K&W zO7Ktk6>WPjCuy+T?R)p1!5#A_&RO_<9{NTpGj`COaf{Hm-UNK?18Sg;o@0(NXXm>> z4F)~bJcjdk(qtuU9^>0{x}u3;Q^58%{i>p008hiGD$bx&ejw2|(4GK()edyvy3q@O zTYnY5>Q0QcpP`Mpu-AfMuO&kN(f%3){YU$Y{$uu$!%Gvl#6rf5xlSVVULwxm{09DR z(knUKel%%Q&=%|=ZCZ^pJ6CJ=qXn?hjzlsuKbwB~d# zt?4b`$o}ySeB107h7Va&m$823!TQusoOW~lO5dK`q(w^q&J^ez?jvMBIK*}6`kuA) z_2hi!^gQy|nO$Yc|bH0RbZ0S||Go*37K!cw9q#wTP0Q)2j_VXwB-UIKm zxL@@=ZPi{4ul})pV=MCJ`~-WluhrtV_k>N3{O(Z_hrb|9e?*KHCFXRR!~OON^ml&i zoaa?jesz@P`hy2+AjaBJ4&W1)xxgg`_BHWwM5Wf`0A9>6>|4P6NyFKdTmh&~oiW_U^z>k=KvaWwPJ^uh~O*`_oySLmQr-d$$j)DzWkFvYq zPwNkSG@PF~5&Q$s8#JsT9=z3g*%jif?R~d)z5bQcb9aXA`nyW(*Tcu_nG>#EcEUeu zM|jXz7{5{8pbOW6{OR&ZG;qOQ6odYSivDiWKUj-%_W|88e;J0k5^4Ppz-vU`CVkrQ zEyk7qGiZ&oIJY&nKBD#-wB>uyiS*?j8_Ld(CvCOv|Iv{rr}ffPXe;axgO|gw$A)cZ zd)R)SCqcg|>2?@(oG5LLJyP@Vdx30=6S$GjY|q0gj?X;5km>bU_cGFX zh6weKZA3~_Jm^k-Q$G0phs#TThxZStk8EO{!}b@aXBgT~*Y8mskQ6APb;tBV##o<9>Gw1D&wGyv~&z*p|CJ-S==3DRRE{KwB=k7jdhS@a=< zDQmBFgZ|`sr{HBIcscm3gr-4ym)af#q|*cXdsc#{PTciY&GSrr(gK68 za-Hp!J!}u_-7(l!`vmBW{ujskIKLPIIDIsC&m7>c0e20!vybKg5BhC)U`>?mcpZ8F z(RX`4?lZjx?f5bwCz|beN72<E$uIh(zkz>^>zV79)g0>se-PK& zp*tG-o}J>^h;h?pJUn}s`6{qpbm_bH=f1=5hE1;*r&$ph3END4#@L^!SjPK9voQg5Or*_+ON!V|N zzDytNsW6O*;Qey!_lyS5ThP`Oke67DMRP;kO)pcfaUMw?`u9-4d0~~U_SrMG+LdCz zRbb4E^R%Y3H*1Z51U!_5Zwd3cyR^Nr&2hDt(rtUcMEs>2e0_#!qws~B zxVjat_`Zt372j8(?712qeVcW1&(DgVH+(%9@MHh*hp+SM<7!WZwtUTTgZL1)9q_T* zprdx8KDlQ|(ZSh~4le<=AtUyQE8jkZa(1l2&snPNjTr};o(=Wb-nzCarZvEue`8e^?gbjmI~efEV?c zl}7CUZQzS>em3cZ`C5Yp8nxh@>>a>49{O||Wb_u4eHOYP67|@$$Ted?H?=VLVaMIoo(fFB>mLnGuAoQ z59(4|PupdHcE653x`Q^sY1#z6Yn{8Wzk_2Z>F9u^D?co@VD?9K^Ja+U49Mo|N zYmJmI^qHnxaPBSkNDfc9+&-4D1b-}hIgD~zgtW&(g?|#`4(xfB{{ej<0l0AgtqXML z_X-w_7uZHC+tj)BJ>*aO6)x5B}OwR7&lFzRHP71(pjch;CM3wvmY z>!I)34|Z#oVfgasAqZ2>f4up7wQpfsjGTJe|zUU zoa3;+YsY6a#f%QRU&lKkB^-Z;1>K(m-)GDS-0|*0%#fh_SHK6YL%-}F94z*^Xxi9X z+h}K#IGZrE`Sul#Efa!I&2_ zG3fqg*xE6bfDgIxfnR@H?ZAc3-$Vm;%wvZqZUgKm%C+BY|JBNg2KhNf(Lwm$T2xuw?NovkIY)!^NV)ArUqkU5{c_2ay}_{zeI zuUAfd!ar}zSa069EP3BvIZ>{2T4bpC)>`gEF?194YHywTAG#F!;Cb+jy7U{2M;Fn* zxW9_Fib0=q;N>~3&ziH)u|r^s1*3l%X}mv-_30-yEi+HkdM>wz6zh<&)vyt_V=rKS zl(UBGW6LquXolW<2xBDpi$2`9VFLO(-d(-_gx&V%Q_v+XkZ0P<3n0&@Q78J}jG$1w z<4|v}O~kjv9gZirI5muYn)Y0G$hC$#;QQHcL;dkuuVVPevu&XaM;4DnI2Pq?p&IQU zPYb?NNE~$N)I{uKoTE8D-vPNM52?$g4nHDnY356SUCee4#_u%7jyb9=s1NU+;v6j4 zk*wzwZ06mXZMe~XBi|{=%4v)##q_OAhws|p49WQ{M?cLr_*bp}0I~cSezU&i08fd~iuq8-~?fBkVGu~Ao zZR@{nf6fWpxCJ(;!DDOrFTf{jdG2W7i<+R|D6_8`ZflQAZofh~9#FnssR*cxIH$Ne(2TX?R+ z0JNWdT+=4huEx8rThWJhVU0H-RI8iVn>Nr9`bY7d!JxgI2aiMEsFx?y?#Et{7qC|J ze4br=pK}7@UxeOl!ta@QoOOWt@{O?BuSXj{4XTcAx%Ow7x~;zaAlAc1Vhm~TUm86a zWoR4IRvMlq%rt#ptuR1sOu+s*C zZz7xaPd((qhCT5IU$)<-jd3=vuw%Uz^M~!%a1K%yU5`HIz6SG_A+R%G6Lp1cV6=t! zTif##;J*dATh-T1zvx$NFX!T7Yyb{>kS^>9%zy2eL#^n>J*0!g+=({Dqu4hl_+yzP ztRy~|D;e~W^QFEG>j8`XY-c~bgAAXofE7A;i=HEGntH6?(l&ErJ=fVoi_?IQhVyZa zIhXA>CeG z+O5|sOCOrLXK84EyvNWq(3TtBKH%t7~QZtwh4&;s+%m7s;7lTJQhJkp)F zK~_EPLE3Ew@8vhDxp!ki2R@e@<#SZ|2C|`s;>^ro7DBH0u6Ke;dot@!( zc}b&~V|@=_CV5qa(H zW1XlsSk+rJ#9QwIz%=W{c*=T{M7?=ty}!XXC0Xxk$97StQP)9?F)ILH__)vpQ9s7E z<-kS5dvd2C%PTRSzz&2B)4SoG?;+oqAM)E`+wJ{}yJH-E_OmITXD5sP^48P0hAiOu zYf;cW-9barG#s>z0`2CY{bxfHYu>yQ{SkZUG<`v|hVgj^`p=4xaa&>wVas3+7dlqU zjz``i_%C;2U#J$98~sUPL0inY<oo58ECW>b!o{ zvSsTYTK3?&E`@oGN3h2l?})6KgEsNKxpu$~N1JiJ0s5?L*FiV-(4S9f${DMTy@d8D zKh<+=TQ7@kK^;liWx6{=`X^x94S)L9NsukCuZ;fq@8Pq3CVn!$bMd;cvtF|&cwRY; zeKW8ZwxgXbc+YeMbklC=SMoVW$Gc_Vk%spP&-T~iu%}_hcHsOvXmsQUr{_hSlk&*P zoVM>mYoaMP94qQ!-(BFGiu}3`ceJe;_m(e&yj*rp$PqsFTA*dU8xPxGSg*z{Y;(b9KKgZI0w*)_UFV16{hP8Y5(cQT3<{EyeW6e{c z!D}844Z*$3nujBBkLa>ywIgKBXF=85c00PPaSU)AC62)ZgO3tVj)fO6P7}Wsc(?Bp z*rR7&*xoM%_3y#@+pjTC-aZ0&K<2iOMjP+Q6ms|sdEtIn zEh2V{2ASc!f0$}}D&%n=WQKL$+ihVq>$V}z7~6PHK^u1uD~rw;To8TcE=iBUz$1x$ z9Cy;-EZ$xD6#EznhiwvYP`AMQwe9`-BHwAqoFPB!@Q%fJ#2GwJ29JrCHVW-VTgYR= z$N?YN51WTUKj1uV^n0D}b zfir;Xz6lGXqXwa0+$_hr0qAcLc$e4U^#!b1i#l01aB7B}QJ;OL;x)i$e8PwA*-3zx zH;%N)Gik%~&P93XH0HB?py=?__I~d$4f2EiIoYcqKM5$`1>Y$dj9(7q=PZ62o0iv>bF3J_Ps?mP39L zAS2MXLVlh@{q7U(w|=4pi)ZrZGw=s~?$3F)*K+DK_)VHaoi)yPge{-B2W56a$36_1 zI*IkCvyjK#*ysL!XhHOF@Gu$ks{=p3^YV5b`~!@0$hW!MylBeEC$Kl~#QUrcEoACy z{n;(+p~v=s_Vu4){)KVvd*qF4!M@4CmC<2{TNmlP{Hr0(%jM(CqwnpvB)TVHyb3-$ zU{5(Bhis{btR6<06*%)KVVo;^JiZCk)i2LM$ixxkS%o~S#^puVVBJhpxST)b#pQ9} zG7S3Bi8$i&1Imos9>%cm(XK<^ zJ9HH9g`w{eRy=h1K*(i1zG#f`sm%^y4eT2;v5*-y$R=$4tlch{JvYB?1PA- zZShmcM-=4q8ajkWH5<+hY-r z@%Zv;(Vz3pcz*ja88V)NyXdpfd&3nBzJqrbeVg({d82&Ae$g&v3bLak-*WU(_Pgbf z_Z{H3kT=NtPmmVRc^YW218vlzT+#P1zml^fnEz{srJVIZ{Hsn^G;N;tBv*76o;5sg z!#xpq+Uc*(O1Qka+uZ22h!eE?b9?rG1Ma=u?vH*1aa;#I6XY<*sTs@VIMwn-d)!Xg zDTe;xn3ZS8yd^4V&7&9FH)f#hnU?lj53)Z%&l3Mn(Y6>oV?QA z2l@X>pBw!~6MPDge+Oi4*SP%XC!*#>9|c}c^sgQ0Ut;YXV?qnc+zz=vg0z>>H#GDO zcci{$Kl;WZr1gf}5})6PRYv~~d5FjP=Y8?$1w0CYhmLs4>(?kZ5wf2FJ@~Wd+Ow|( zjDEml{P>#a|Lk8LjXlIZb-jQ-wisoikZ;_C>ga*p9*C|-o_gpBjq#AlBN)Se2i^<} zT@w8`(m1wr%%{CW8^Bm6Gsb>n+^5`Ug09zst~18p54zrO%IQOj?z55J7wHe&@Bq>u zFw-AIdN$JbPpFLEg!Uc5T$1p5A@5^@Dop-hO|38O89Q(>Wa8(`+Ba4~#)Rxb{^tuG zYWMGgjJ7;2`CfoH%A{C>gl;W*vt8I+zweeCor5+;B)X!Daj(PuG+@04dA&V!v5To%zupi9r9fQ`x<$Eht|M7>>E$p|J)09?tbjm?F0LE`^vhB+gGli zi1n9ix3Anhu|k~r(5r!K5*RD%;74sBOxj=<`)D4l!PjxkfpN{q`%OQ5Ul?)Q?b_d4 zux69r&-tAr%K07Ur|`G;Zs0q~l}Fk)K5ut6@txpi!o@nxUs0xh66X4Vm6I*s8E)zU zdlYksX_!wv4}FI@!`qi|Ke5wZ`{8uw^{ucS-OC?bHyi8y_rPA-g8d47FE|Lct_GhH z_b+fRyxeXVei%FCUc-F-bWL1i5Zc1N?L?kI@Eb6GPL6i{Y^;;wdw_Lrtd$P{FDqcf z5)atiwF8iT0^c7=D6VLA7LRGQA#Z$8WN`y*TDC_6exK0CIaSNXn(Vcamzx{cXf+1!&CqF~7IC7S~pX5yLY^egjwj5E|T*G2d|4bNU#9?+1AXTbhD zzXh4!AM!dHJ}t=b5y)=~Y(B~}<=Bld+K`#kMH6cw3qa4^pyv?OmD`Kofp!e9$NMij z_+kUkD2Hg<{jS3aHN|LO!tB9~d1#Xk-Xv8IX~Z0(cDdbAJRkE$(rE9K_S!wq;u~QV zIByYti_hS<-o4I_cR%}K4C>#|3pA`>Wv|WuW#V3*b2;sPzFXX{;dbCp*`FZpeH(5Q z_dX4`ihE?kSaBcFFa~$>iL}`XS{wAu9i%m3-cgq`O2~gh^BAmug8n;JY2?lQBcXfi z(N5T{Z`V)NJoQr{d+>J|?PQ)`+@xi%Sb{k(+8m2Eu2?d-k?pKs+cZyIpd$_iL41OAZ zln-}^*2KDq^Dp3AINt|0C*n!JpW)kgdq7M2`<;uQY}6L#w7SvvjX4tK<`CXl-wC`D z-FLMnoOCtr1gv<_Pj61Fxd0l3K$k&wuHB8_O3=eKe^BFRg@Xj`HPFIc13qZM-Sovm z-fAT-LB;bi@1`E^^)l9zz+bkNa`zAPrxVcMlrOfgX1LR{G&6ZG_O8@b50d%Vzj}4U z++2+bOOfV59AR)gsKzt(hK0Ez7u+eG<4VOXpDutX&09r%blOom&et2a!yi8aeehg_R@<(He$IV( zl)pi!<1G3P*LPQ@X^puxIgPQJz1s?qy_8Wg>#unllxeAy3;cp_5L*|Yb+Cc8z$aG9e2u36#9*ZZ%c4Ie-^rhI{90hR`)#8C?AZcJz>brd-mR~7a?O8kcYaQ z>6D-MS4Os;LmYLq5w~Gw?^c`zB91!TZSUVo zS##h=83X@>9;g1M{OOuD-2I34vGg~yFUY-$++UT5b-85hwZglf*e`VMP&>ZA(68Y$ zz$G2dihJJ%;=?}DBJPn5AB+2dh7WP4E+Nd@+!XOLPIgll1Havnp)TNA2>QB48vycfQrDVZ0{)a`te5QX zh4G(hyCGw*IPh&O_@SRidNcIYjz^qLFT<`G3S4ZO)yWzs2A4fOzgPt(Od+va( zQ4d?=YuM7{Q;mT0lZI+>@6)hI+t{&)pH-px?f85Y=5z<=N^U+Bm7cV&n$*tMfh-6?zO6Ozk%?p zT|F5L{|VtYx_YKD+<@?(x_Y3;>fFCZxS^|OGQ-ax{OhisWQKo>@H1UK2@Ib=__tj> zcQE`u!Y8_VCLp~1{jPY=pZju*y0C*t}3 zG1JE28U0bbhdK=O!ncxYNx#o(3L9ha?gZW!96kwqM_-2SJ0BD>Jh(WoaS;4g^#6P| zKdef%8TR)vY zxbZx6+sn|qyYZvm<@>cOP(EjVUYo8Z#^lT&+=g}N;`4wL($+q9+mgbzk0&e_XG9ml z_wn(|uIRyw3mXS5DWttNW80EpZF4aG{t@%PQ0T`wL7~NOV4V8rw z$Bi|4ZTV*-{CiVt=bbkK$+HEn(RFN$8YWPBUGZS-gIdm6^8*u^zydrf0C(qqx~ z7}U#lb59n}Pv-p8Ixl@T$cFFY+8Pd?(QaFgZ-Fnzx4@S#v*Q87_opGRsKec}7JE$U#J6)mPh)OmoIkr0d)2u98q4)O!qLTd0X-! ziz0{r4sBo_*h(JF-K(}l!F8iO=LNrb{$I~ptjmb{&LZwHD8LBle9aznLWDysVYJ1J z#~wv93|rI;!!K@z=~Fb|U`@abUuOx!E;QpuS;9A4!nat$@R6DM@34duE#XO)@ST?M zbW1qX5}suV-)jl~)Dq6Mgy&kq^DW_0OSs$;UStW^Si;LJ;gy!~!tk*OqXDCH#yf{98--c}w_3OZX*A_^>7XswMn}CHyBDPAGMiEUqZ3 z&tLazvIPsPDhal5aele0s-!5dLU&c_g=JOcy2z+NBmV<8wCaeSx~OuU*#$(s$AT$N`>ED zp~VHIWmWSE^|>Ww59np(dSQXfK*TIJ%T=)1l!_|+ z8>OX`m!qPg`QsIR=2n&FRTh<%0<)459jI5jib^YVZD@rQz3j|{q!iF*s6My63~#3- zOy-lO6_!iMyfNRkn9pJShbyI|U=b=UE0vF0a=`*uX}+dSLDLwOp-@rD+6>8aEv=w* zUS*-CB^S9C6hIh^^hqEM!?OxX%JLu_Mm*t_lvSABBdZc3gv6|ZO3H|qS>O`wGV)Iv zISCPECfwQCso7~M|EbNsbLRAS^p`r&dyB9O39p+o|-8mW@jf%pNin@jMR)2 zai2LYgZEhpX|ouiuGvZH)3YPg_EfsQsiX=bKRJu_w|q@`xxV^lmlD?1^3rU_n~otZv!@|5W*St@FF%Jh`X z$!2z>rzH5acUtP*=pP0+re~yQW_zErQ>Te`q-R*D1U!?{(=(G(rzd2~w#=TDl9`?A zZP@Izgv1n+8pxlRkTf+pGd)8=23;o;Mc|jrsOjmFkoTlyiNK_pY53fMrUAW_WZZ8~ zN}ra2`=r!KB4?VqPfwpN1Tq2jQ#PliPEVaSbDB0S;cjuyOqebt7RaREh4KlB>9bgX z&B9GfN=r|gYCP~ceR@*Lbkv)WB@oF<$<9bmolg5hT$2DM16_hR@k*MKGL84-b^jg;-mL+8Z!m0OVK zs;VgP*LzfSqL>Dq3@z>|FM>9fWn{b&E?Zb2R0(_YB6M&*>$%YW1=V>41^E^F0#|j> zf~o~VhoY#N?x$&~VhQ<5>4u7wwQCy2t`fEo=v6M3O%+LHP}_uML?z9VB{GT@0z2>@ zYF^wkWkN=lx+lu}Bvl|=-6vzNoCoP*~Zn(qg6!#c(}d7lQ%@ zanKdi&DVkKNa*f-jE`lKF>(y_|8EdWjyQRRuF`o0`tADAQE_wixfmDHib{*6ZQx&0 zK3}c;^s@YdA61?Lpu=K7odN2{U{YQwDWP`_>&{S^vV^9mCyRcYmO6bZ;~!A@!qfm1 z218}cO%?jkn{Gyv=K4xX4qyV6xW*|IFxMPW|m2AXE^1)kyXcsaX?YSv#)Gc6>dIr9J3Ffn+ zg!w#DA{3@7Gzb+Y*=@i9Tqy`avWt;H6HO{I)+p5QBRziHr3<}0z*fRx)}sA)9*@1 zOY=(~ZB3`W;+HPVPfkluOh^j^p9~1oReAvUGTjhBfw=5k0`Ig`STHalAc)y1)3Z}i z2QT0)%b5m=o|K-MnUa=3JHnE#8f<`<;sAUUA|2vY13Sbk{4+9BlTr)<00}Aqfv1r! z?JJqX%NMi#DU&9pCIu=l4LLn&N!GrycN}IUU_G0oG=+x5-)A=`?bMyar0= zBqMeDOehp(J^?>NZoE*)7lSo{)5WY#5<^yZ1vtiRkNP1{J%;tobk#qm%}mQq%}7h7 zE~64K`=6TV=qYz+z-FH=WYn5ID>W-AJquGCOGA(@Mh5{ub<(7nS*f$EIjrdzr;<|H zcPD2i7@4f;*_lvHKGH$_ymU-R!c;3E$yz<}A7|)~?DRBDF~Bch{LFOB1d^ss%1oKz zlkSC&8HvbZN%pBfIbj;e23=~&V6C6>osyZEPP!VGHJvjPC?`yJj8s8?6F-AL7|F~5 z#F(v+zG~*ATl*Q{oBTt|W~OFBS}hr@>1MQr!9M8_rmWO^E!Y7+gFL8TPGr5fGi2>g zSu>|iOUU$Lk59Us=w7)zrm!J5Mge^M$2YQM{xP7}bVF!EaEKTtZxYO{X@N~gW3 ziyUFX5a|p)4Hf@%EBrv| z+S#;WyrvB7A7P1Op17b0J|)$B%u8<+q_{~%NI%rgH;)|;ChDc;ykUWy#%ed-GP|3iw1ep%Ej)2e6knzR{$&rxHQmY|9)f&@NCX04*G+;VM9p0h6c+-Ry z$2}RN37<`^%LiOuEh?W)tt%fjj#3PY(FAvn8hoAtz`V~;_e>QqM+GM0GDZRUq-oui z$c4?UaLp?ik8W9^Pb?~he|rwy=cVw5-l0#Fu5L@r?1{NWrLOYD-Y9$&gI5?A0WzzE zdqz*mNSL0Ite{=&7E76S5#11sV^v4P*#rhhD88Oe?Ib-miex! zSknl~Tp7_T%HWtUhw7@-=~OC^LmA4OSt^82#cypxt?wwbG~d*YFaZx9bFrdQ;aY^& zV_iipd=Y1WPK+UXLGQ9mpxbD0H63yLZwDU5V6!YwR^q?BWY z%fQl$KcN9Yhja^`<*vK})f&n%U=-y;^hkCuz{;{RxI|0gOf7Vw02*Z>Bq||oc;#0? zR`RfBqNgV75dMM^8DCz2g}ef+h_S`q$`>lPrdcl|uzXceK5wyDe3YfV?E!XJcv4GY z#1P;r;lnfayb|G8hK%rWWUh;DP{kn@ zset0tu}X&pLaaY=HC5CsyQE~DfXwczR^iAZK`gbXs?r786%|OE`xMeepbJ?*FGuge;wgQwlGFx&Et$QEfK*C9Z(ezUtAgdK zM}k&Wz@B-e;ELLiPc0A^Vm%NpW@Bm6U<2V4R2N}s6zZ@7>%4hNK&4E!No9K(F-$ro#a@Lg9H%!B?_bb;qsXm)74yt1gqG%qq4T`$BAdU_+orJLH58wL0DA5)Y7fY@v3R!lUB5WzQpe(;=?qXBv zR#cW(Cl3TIm0lLhAXe>ajaTCf?GHomi~Q2$(ADz0 zNcKrLhXcqV%kuJz)AP$9rR;Q&p1eY{QQW^E@+&+b*!k8$$%JQ&D;NvSff2m9TDrAK zq8_V#&j@AzDBA+-R_Mr_{@;wb4G9+(9tPJqOf=5fnR)0fqetB`T26MDt|qH~a9p`q zFtWn&U#GY37cf`L%I2CYF+)e+ls|sx=$qv~%YFk&7mY<901#nBac$nLXDDPcUoH%B zm=rqh3S~$KHQmxAH%J%J=$ll#I=!*{@PGLt6u{}ErW8FxPtd39DZ15H;#Xk!mElY= zcDIP3;V!6|a$W61@B@O!PT-h(YN&O&0H{xw+P0!2n9ktH+&)%%003r`zzCvwD>v@w zvY8rFQ#ozWleraW5{)`c1^h25%qYYB)2kNbqUn$}WA(A3V}9i!^UZIrPWl&M?+_UI z=I82VMPPga<|i@#sr+JdjX&~uz5+h8PQF~1ENf_*^O2h^$zaqZ$EXzk1 zlRIAYY3OMs9h&Tu-z$gNut6~fFAR|1tAb3rddnr`VX$}QEe=>t_;knzvmH|DrO`U| zD?t@SH;y^pvK;r`=t**sI8Y%;-;U+fOb#v}OzkF>!^($2>5HQeou{cK{Os}~7wjcb z4&$Mf)IRx>T?-b{>XA5Q7s4(pEGzLTAlswl+z-ALt`YWuZ|DNEe;c{HcMR^*lqQ{i zOn!s1KQ_NKAtrGqr!>7_zxHFxC(M)MFZ26qILaC(+rGj^dSR$rV7S*rJ$~iNN(wM@ zgJI((1N)abM4IxMwXh(s2y<+Ga=B{}H}qKwsGuyT_>);sBKN6Hg&hRD03~N}8(oFB zY~cKclTlADnmf0uqR3mBPky6EVisM*8FG0?gnaU6msPSKqi2b^RY&ZFUg_9w>AIj~ zCSj){rlYR$f{tLp^fJN53gbBeW+wUS)8CLU3pOdY4w{LGbje+gx@#^6JDM=qLW<6&$@H1#KFAI^^kLlY!s(>iD?&way-}Y)=O$@E z7s6!2v=^Hjx#bVmS$-9#Yq@Z+VD?9nVx$=gvJD+-+FPPL(UFD;LCE42S1B*?=C}f- zrNj8ee_B6=ILdT$oH8>ha;bKskoe<11@5bn&$6w`kAf)Jmqz!6A6r7GQg`1zG7a+p zT@hOrx&11aflq2F_U?d0gfL!E1wQqgM~yWmGy-yJDS4ri1Ei-{Ra!E1EH5@i7GUqE zB)b*#;1{O$TMPLPU9s|xa2Ow;un7mUIE#%b{S;GQB~5Yl@p(q-fDU&P^_uxOs#7d`cX zk%i?l*^JXO3S7l9E~%`dQtaQ7k8;1LovnpUL_x1X-Bz;~|$~TaC!ia@d9~_u0s8+ZyU)SBKlww?6+!>$4R;<0V|| z>%gQ&Xf^r&HWBv!&&;@njzNB&w7osMmXIS|###4q2y7MmV1$`*yMo<=N2nnF91Ym19&naKz_^(;jIp=7TAss`U9FzR%LOZTp=Hwknr3{4 z2`tU2;3#A3yV}ZLRSLJ5+`Nu@OgPg!Y!r;cgDz#Wro+js0sT z`q=fz!B@_iq+xvX=$pptRtGa(GIPsHpmQmTC9qC7grSswxtqsx3uZ@0^pyel){E6g zudh`!Z!U4vuXXT-#Ry;8Xr)(8=PE_4;D3KrGNJQ~Bo9 zzIbDWRtv-CI`(~I8$M~v%iM-9AMs&cx!*JEo~&%{xW*d{7Ox1N)krQy5B`{;BZZy} z%bt=lUB@#v;j^AFY)Vhz9Sf%EncPbyB@eXxY5qGHjL>aBA zWGyvIModo^%Z(am)Qk}p2<~FWi90r@BvU}sQf7(uO0GBJ5$l%O+(gIqSL~meCS;iL z*fWOR=iZ3aNsI-a)5S6}){Esco5>KH$2*(HJ1-l4b`g^IAcRBI^UmwOTUvMRxjTM4 zApV|X=cnG0aq^?Ise%0%LSTK6d#rW}SN1y)X;*>i!KhCQuzO3h}<~Md+j*l9d zoc(=lS0}*ebL#Df+xGtb?Pe!I{v+-_w^tC>f`bKi|$Hl?7QtXb>|wk z$ZxqLXk1_6RYy%*{qDwuUwrXg{iRp;-7#a!(bT_PQ+06rv-^iE{QLa)Z#GYS^~)g7 z!5*Jp*L%s)&kx>HetUYt;+{^4&rj4n)frZI=fWG;Y*P0<&J9UxO3p3m<=lEi-&g*Z zo=(x8pE#YXzv-dPXzJ;Fq|bYQx|H?pL8D%yyo77O+vEJ>o4hW>OL}y78uc6a$n>^& z178DwNuT<7d2c?b?(wR=myCL|&+OiEq(0Ue(lavt)eq09{22#FCJp%f^ez32XVQsu z6ng;3U*j_PVB~)t3GKMZf5Qet(1{h(K z*Xw3XbVgm575wC{f}HpLufyLCTY8Uk46lJtIxjzR@q>3)9E%rx2(NIC$^6^it)F#q z2FG1{%f#Qe$8Y=FQ?E|#zSQ|y@X5(fJ##ibcgKmizl}Q;|JFORF5LLL58^*Lu(^6x z+|7b6q?zJJ^Nx|{GVh!Dt)iD`uR(v~E>Qk^;h9IDYdwqC#ARROo&Aj$?}W+wJyTwe z9)TWv&sRNrcI&%3{-?Ir>iX0sO8NRQ$%!oD^4NQ4`2F6(v-xADVEhK`Ejo4NzH@gN z_v-~=F2oPKH-Ew>>F>nf{Mj=@&#wAq{M%)7y8P)U{~iA|dTYeppQ`?fuU7K{-D|Wp zZQsTI)szdP9mLszAMxkKc;jN2X~ZK^MF!PmYPRZVTSRz_h@rN^H)XYmw{Z#xu6&hG zbFgF&{RzjmAQ9|7&=HE5b@n=&V+sOcAAfZ0IDm-6ZW=dPu4c z?>HiG`}m`Gz37Gybgo0j^^Ofe8|?zpLYb2-G;$({YbkycQMdD$q)&-29;2TK*%mBn z27QRfI!9fQBOHPC_6;`2V+f#$@0{?~-OZr~iX;O5IT59?2?tQ;=;N|};v+6mNe@{+ zE4J1jh3EBl(R@@c>gJrx0U;?=aNKwnm!xN4I20PdapLxlsL#st@PVV*SU~_bSfwGv zi!xP-`l?lZMA3RNy$qLYn&N78=^V2Vq^StxE#gm3F60^tL5#C=^@U026wllJt*sm72G<)rZ>V!d7T4ALbGnMgY{$;i}Al=6v3 z23(}u)4<26@F9Q1B?|cRL(t7GNbe)J4$=|KKxINFw*g*;g11Y7>y&Pl$mB=2@W4?f z%kz<*594*Ms^`%kQx6+^^?H0n>mrK0iF%$^^_2Yh{x}guMSqM#K=em41wHEsZvOpo z3gWEY5j~rontey~cG4dGiDdEiC)tYw_t6o^d4)bY3`y*xWLuy?)T(3sH*?rL9p%5j#BHO3bXu%gu%JVgK_ZxjY7)bp;-IEOO0 zvhiDr^4T9qyqAht{Ob(w45VKLZ_3+oz^ztrf0W)D-4X79j!|r#Dc8h*VpmObt9t&O zdZ*3;w+{7)>;ID8S&PbtU?TFUYUlrLeArp{1D{O_AEzJ={sqv3?8fWt!md(U4+kD0 z?xLmqFyHbKPuREF1gRm{lHt^rQeH=N^U|TvEXP`W^{=cK_ArsXio85D160!BWA(j@5^A3m@-be({pAV;8DRZt>8Iy?=$S`=P%lj>5WUQ6DPB=T%bbi4^*VM41} z>@ry)@yPBD{rQp9YsY1@`Jd^PNRRqhrq`P(GQjjYq;FE`CY~xE)Atj8i!5)-uS#Ey z`*Eb_tMnG%c6OK_tqT#uOYpRy;56Cd;B;H?bfvpPriCCDAVbnari*}&+)$E2(vWF- zNV@7R!ni;*>3tu33I}kQ7%zPARbGxp+%ttYCOF+8 zX5iojTcV6eWsG1HK1m9bnHHOc;7q#(C0Gz8c)Lmo)^-uuytVyvW#iEBFmGYvrEDB% zGsq5-w?Yf-J16P(;Z^7&W>&<&B+%v{m~bNyBPhjyYS{a7*2DIBXA+7ga!$25$fQYU znY{*{DnLQrVt0&&t@MHD52{4~LQVy&u>%lA3AP30`1H7AbC6)kzX*p_5!M#qmj<|P z_`>Sw^OC+9cotWHenA{CjvDfAh>@JDsBt3>dD41%;pIzckYiH5htIf5Vg2|c*+(i7 zUX5~v3XiwUa-`T5{1`ftHrO!bVrkG=64%O1;ew#6MNGCVBsF>`acD!m&8l8Eo~;)l z59p<7`sb29QJ7nZOVY<@o=Uc3+ULg2cU;Zs5VN&I%rGDqoE{{4a7em#02%5~Z}V5O zUVJBAUb5Z}`asCN8(IAH)wqsPOFKq!bU@|7(Cw5r(NoA~_#~XTy(=hd>V757Qesht zXtV9_oOqWb07B4pfS4VL@$I6-KODBKxFr4=PlRpjDuTwmA+)ZGbj$^>4{?zDil2V% z>B!=Ybtt+%WJ9n3nU9jhXCm&hG2za^4X-!rK!ad(JOPZLxEy@L-W5Qlo%F77 zDKH~juj)JT4#LpkXyAd~_T4 z@0_rj0;U@%e4r1rQ~}arQxGWcL;$WX($9(s)5+hBj!lqIQ3s<$7GkNy@#MP*YxsVx z_GTXh+9W;j{c(9odOT)(qUW}2Mc5F$h`MV8eK&Mp-$N*=P2Dzz3xV0(_3X}PEf+|N0S);fhg^pSB*9X!lK9kG??Cqter?i3l@&HPVl(^oaq|cOm^NmA=+5-2uKIL3-g2vi{_Mx*rG;Bxxzc zQ*cK|vEnIm5y38%PHB@vwJx4z&a0Ne`A(mSkWN$tm_lU=!YC4&R`b3??- ztZ)7Vb45jm7L*p3BMvuTJC|5tJkP-mcyKr;7hqwpvvXMoVT?ie4d{pYa=WDKUqmea ziM+n!GMgusHNXey0iA*XtVveHRSv^qFkPT(Tpl5_vAmIuMUc%Lx|xRJ@0`He4=-Z6 zA9$@+c;$;&@4pfRk0bqcm0oWo39cpaOlVfS!0V?lR+dYTpeR9SxiMXosB|8cqM?>tl+IR;c@f}h~Eea zjdU@Anev&B!~=lWrr_-|;jx%6JW>elor0TcFT0@GUeVi83zipU(Ap6=t_&HdY2$2? zu6umvAq$`Av8}sc0frUI>bmf{ZgSSqb-f%!Hg(w;Dww=E`0)@i$U(C(D@Fifri^+& zVe6!Yd|_1hz`($mX4o@c z>=WCJv<|Vds9|AIvZY+1@y{pCH>NO$6@oXVV;R<k1O{+f((QxqO=ndK-0zT>38gZltfxauLn?Xy{h+aqh58VI`|OjCslfmuRXla z_C%j;y#=iddpNSLm*_y7yFcDTOpP{OvoS(W&8}VFQ>^6#R9wD_WuI*w0Il!2;o6N6 zo344h$L8*4MPBVhHY$5IP-&l%lI5bWbyCEvNP#BtuL_#{K)+K(_+-UfFg~yz>n4mK zZ+lqu{rB)s+9x=`RBP@g;d=i(GTOYrIDKE*$A>@Tpj%wLD zzwx4DgRkZS5fxfDYeWF5Fym+#sA;B{XAT*Hv0LG*hai!c#Meg;69=J>Mk7#1JhTQPzYIH_v_ zqzssPnaT-Rz`B560D3x7JmViO(k5;w{L0r#{?zCn z_gAK`MY>z1KZa-P^(G#kM*3GO{VztMldLXjK_+TJ!h|d+On4K1 z`g{bEhk?G4l8^hlAcB{qua8_3Huu*#+z9xg(gu2|oq6vF@11YDb^%46Mm_cYWj$%W z^!2HS$U*4Yy1HO2aPisP_opliC692)8}qL44x9h#P);cdMF8LIYLB4oMV-K5yA6%g z5s;4#GSsfd{=OA&P_?P{W?!Yf>~P)|Q%ivY6n1Io2Gp76W=FHL6HD0~uWprAZGeQ1 z1Y<+xc#7mqR^ZQungZP+o7qHP)#1y11%i~gLN;?$u+-)|IH0WX&t#9l{yx?I3`SZmva}NE ze^KdfOB#cMkoEn_N4%vQU_^PucQovL9%r<_KJNJ}RmGc$zp0elOLYiC1ZluYRJO15uLu z-=v>9)m*awi0+++DlY=>r7==IO!<_0D1hB@^>xqW8^KovFCXy5^&|AeQk2`T%5gnM zmg__wI_io0PzKy%8Q;EW=s06P`~Qo2V(Dnill=K0sUY;gR-}K`N%{e#>$>D4W!`$V z;o(E1Kc>=G`_k8E-a_itg|3(DkQ;+Hgb33g>uy{Zr2;ZnrQSWEhPC77j$KSISXN9u z!jTu_h&Rz#DDcLp>>ENhirI=*vvxI3^d7Y%kwB|!c4Uk<)d#=>1bjd2gYLj9W42|6wl%klnS)| zf%)@&$f4|q0SLCCeB2OOew?8nBov{42i$^vYeQwaxu0I8bG({}^sWCP(>Z?=mypjM zU#WefzqD=ph0i|GjgQ(kVdp5h@%Y2G&Db)^;Fi_4t*dOp0bIAnwr;IWZgKmWZT-)& zhzigUbwvps*+2O3z4zZe>D_x7KJcqh6hcwt-|#b=tVF_>pr4S4ur4ns=f47q=$N3S zUnuQX*a5>NJqTM|q7(W0g`~JaPvIgTR-@cws@x_~$or3~ALq?#q1Q{e`9{)J?2Ag| z`w->gRJr43xnT(T+MA?`us4aAFx04TVV|)w=qh9TKJ!^jPGuL0Sgf8M$2OpkK3j5z^3Lt|*0(+6NQS?LL@s`4)S|EXc z5)U6cFA~vMAJB0_@9@^6%k^+st9<=Xz>T{N{qElkmtAu$;OfIApRa~*aJqr8l`^7P zOj1nw=wr1lOYVOLe5ZoH74?Zr(!Vyo`+c(SoGUkdV%^}B96#e)ks(Yn{1Te@LL1JLITh-%M z@qzq~4y2j$X`$b!=%8ORaP#Un0U-_lX)C)G+=U_*|0MoC{Y1d!dLEe}3}}|7A4!-J zqT~Sle;V-iD0qCfUVNr))>-<6tE7ixZLhQPBP{8L+!#2p{xnNEjXCQz5f2>uH!1w@ zHWCBKlc0xnp9S&~{?jPGPn9R-t(R!OrT#$a7m!}pN%?TtvX82CfBXr51k$TJNl!z1 zVJGP&NH^px5PoZsKBbfLPa}O?C+Tk@eV9rQ1pflkBRfeC2jN3IfjHpERWZ zMd^z`=_N=%*-83Zq#JrM5dKdieSatA-$eQzl^&@41*9ALJrI83!Qg)<8(gyp?hv8=G zYr+r5nrx&h&u8mJ_#=@1ufQ*{zz?K9)*?Mr)gOpIPb1y1mjb1~iS)nx|LnaFd{ou7 zHhd2hQyC z?6vpWYp=cbpR@PbJ2sxm#DCX*=!IBwa^siyGmmHLqYU(2``}--pZE>F`04s3UgC?N zN&a>Fp>N&~eb;{Ig|H7d|LN&V`TOXVu6{Du7t1D-eKjEdpy`i8LjNWC_wmo9pLITZ znLjd~8GbY9yN!RQ_`7`Rr`r$f3-=hf`CsJn*Zk>t1M$83!|?`{gsOfgGug>*(A{=4T|bn!7%S4Q{F&&J_d}n)A9~Av=p8(Shu<{6Tm17gg)>ewm*ZA3c+PJACv^?eKcgOU(W<(YJu^ z%9n}%ZXf?l^kVFLb>+`QpX{TjwT#nRl7LVIBv$H}NsjO)tP&FaKU?IsplQ?yq1TdvGo zHBuI#vBJ0QY(;3q4x(n4(9?}R;M{qQ`li+NVF$2ooo6Qw27}m=A zL?KEtVd?ZrBKYy=hZ*sYABd5uMR35>e=eLfBWZpJg}F@J+#8X1uIhDAeDR~{=yzC_ zj_A$KgOsreri^#KOP@(&!BF70xs9yA$cPS$bXKiyuu-=i@Cs@{;|Cjd%dN z)Icb;C(s)kQE9lye=1D5&-m|4Z;~IigG?%;DGpH?ORpRJ$DgPAqG)pY^+mz0T>R7P zuKvO_&Xmq1`u^d8cPW?>4V>#|UCeQj5NuD<1mpbVzS9u$td%65}Wb(4fK>t++ zhuU^WonCSJd>A8gNhor$epbvq`P2*#Fd+%w?p!Pn1>p+wX6Aj~CFUIsdQ0RK510ky zoq&7lXH8kh>?p&MyhnnVdPSLLZsXMI}Tnt zPAX;Rfh)$!!)k3}BNr4zDz%Y~Tr?_jVSYG?(%y>57mc`3s6!73a(5eU zd)d_|&Qc039oKR2vf||jtr**RASGTshWS9cO#Q-qCR~+A!7mvBnUOx%U`k+j|P2tQqzG0zb?K#dqx=7W)@-KzB=}lYV#GxCaRu^^^a8nc{ zpd1&Eh(H9`042m{BRfW1X-SJOY#$3r#^WSBma z8egU94~nmOy5ECQBX05X`#fegQZ*uSvHM}1CHwpf{CJL9OQl0 z0Qw@6tC+^fOZ5^Dttno6kUU%cTROJmK%G!5T7H1oOy}qoTC-Lath9PH`r~;Nt^&VKardII12BT=RjfV!@TM)m@;uqstE{z}9exV`G#Vc259bERi{gz(qKGG9;nO>Q4_4n&F@bZrGk}W_| z$@CLD%4a9D#qsD_O7Md)&r;ldJCbED3?ky9vUu)s_htLgFVl0)+WqW_B> z^jiD`J$b2q1LIA}FXwlpiwurqm^)U>)Hp^MU=$~r#kW5b5JIPd>~I7N&BUN{+#4as zfXT5-eDM>egu!-8pUTUXPdQ|hOZ5^s zAAs`k!$0YQ_ld+KbPS)?qTDxaS0LQ@*tf z4e*xgw?n=*j%Ex6PxNrOOVIZ9epT}|p7QY0eA)XPJz+3~aQHqW^+?``m<@S%BWcyh zm3dOU@)D;RlW(ingP8iRIpavf`)G9gj#S&8gdywO)wY)oC$}f>n0*2a9V2>_{{lN<-@U?|DrWDkp6Y0 z*Le0pna5?su1AA{EWu=JuWa z6hMp+na{`tqav00`iS91mF^{zanRCYsa!IY74x_VU22}3!1(+Y)B<$K2&en(cA$i2RI45;_fwwy zc#`r4`yi>cJU@{Sa=;{Yf};&P;OH1)-?cTByFf|uzd>cw~% z(#BJDLp-xVy*t!4t!azpRX@FZ26&5QC1gs>3inV2_1*87~gq_ zBpbPKY~-Q?BbSVcTsm65mtA%6%5ic|FxrD1V84BbS|*xazN(I}7q)2&N z#2&Po5^cJKlMMS})0fG@8BV_)poxALsJ-zWQ!Z(~hVJw6zW-<@!+ z$#g#prWy*uRsJrGUjs{R%&?gTToA$8f_pvg)+UuJFZfly{#o1wVpx7c9KJ!6?I zzXih+ui?sJBWNs#-tTCB`-AOGOwU4Gb8F7pTXahi%&Z(po8+2 z*XOLdPUpS4evq@eRk!|h+?=y?Nsjy_8_ON?Luqsn64;zkgpdgD=d4V@3@lBG4T${w zmhG%97&Ad$J|(`Z@^>C9-flgOAEx!RD|hW`J#ngVV)9Utf9a~+j+J_z>hcx2%k2D) z&SkkPutT1DU$r!MC05Uk= z-jo|2Kx3FMy*vxid)pGWX$745wVKg_XQT5wM{J_tOZJW-Z`mw*e{kkkvx+PtqsSfd zh>Rh7$P;q5MwG)mN#2m12(yKpM3^IFB7)3-EwAD1s2nuf(ZFgghfP5{%FuscpHVLY z*<0Im#GQ$|VU5P`!?RqXDBFifRoH6;nsL^BuiN1Gq!S*}uFI%GVmqyH*5lq`eEWm- zc}Tx5=j5_F>q~N&@4{?Y0`K-=&LG&n&lZH$cM}?l?uCD~*1*Y$R5eoxZOw@p^~iX}7z_7Kuu68ToQ2F4FO@T(FDB)kr!51bQustJ z8WE|&TxmFR2@D5AK?=skhz&DZx=T3ym}^Ce2hx~0X(}evMsRG`e*M(MGACkrBd<^wjp@s&e48v19X(cvY zQ_zB-Vc1q;y~@8MsIS0#4l6ef&x(?}f4)IRL$;(te*Wf(qR2?13=bLx588(=M!KcH z&~!IoEW_T4BnsvPWgP;t1_fr;i{a_{kw51fEB_zjKLPytch=gB z|0ZDnMS3~tWsjug&jPU?&IG;3=#4?U8d49X`mth2h2(?O!##NT)b(&P(|c6q8N{<( zs&8$#$=01m=00*ZCo=I_f(JC%Q{m_VC7zxodSFwx?948ekY&geqH%%kC8@LkO!p<3 zQ3qgw;^=gyQy@UOgTlfDg%aVdQs=?BUt{YND*qIE@*2ioFz*)yRjVN$%5ihQ#xU^% z{RKso^?c^SdIHMBE4?4s3_q52!sJ>PEXP3mAbj~9J98!PO=Wmk5td_4Uy>}R>(zI# zft*x97EnvT)I|e!hH0kKDbNnbRkN`W&5GvzYL>OzT}Y(sN!9Zb2Ir-EZqIxkdlUh9 z{Cftw14@15>ek+#-n4e8CGOzeq|ZLQLJI&THY+DbhO%9@RYKZ zl!;T7a?ix66r{9LgAcD=xQp3-Kdp9B=)RDsodm|EOj?Gc%)AUxSz}~kt`yZ}7)=I_ z$didV>YE)iB@J4FsWKxcZCDs@Xn7Ur2W_BHv~;u=e)?Am@XmrZj9Dw`)BNsXrg&+7 z_qV=04IyQHneCRWFL&XgYZTU!m*7F)9Wzwx!in(^SE`p`k(z6@vWm?@%&3O+(7MLl zHOgE2Ml8ymde0SmNY^DjgMOJ93)878iqEQ3E6QD?!Zjdo-yvxRlV&KlUQ!}AmISpA zVaU`*O|&+dlwsH)CvO_YWwAOR2@eftpMJQZ{GY8zXpgw@)k$oraf_pF}s;#P_W zS?8?5gRFCI#6wCkLu*uEC}5|F7G;(8lA_2;PZb`p z!qEW7`wOQG#h0$s>tx#6jWnLj1!7Xq`;W=gy(V{`ylu@S>SK#Xo#UB|^_#rkYkoPe zDwkBYVb=TEILf(s)A4|}5ejSLFNs#DM}5kfXtV&nW%)ixP(`GCEI3EZ5@jl)yzru! zf{da|$--WGv>Lwn!aDeI-Kp2)-V7|)zT{?o!N*jUaPo&rt!6#!DS#r{u%dfZFisD| zfidOn!aC7rleZ68u1_H^_3{6n)+8hSA)E^;M`|vjeYI?eC0Yj&qewx}$ zM&6$oAIdeYd9fydO8jp}+K5Q03{aZ|a&(CO<(xp}Ob-{;xRlQeN0lL*-w!^xsHsiZ zhgbTn>OF0~a6j*9Rp1~8owH#=39}qNy&VS4FvD7x%$tF&s@gxR;R`J9f2B-VBw^SB zUGv=sruhk3OkyW(U#{ChF2?Z?4w&`a_4RM&j~W1HZw-Dv?LL!lpeRq2%6$X0aA$i);F$hJhfoIT-#Qwum7#` zW;qX0A;qvVWnL>724bQxQQ(?WRxcfky7KFYNvq}x$tu~nVbGRCF7DflZc{m1Fvld9 za16HROhfEp0v@C=`5^82dOWbZU=SqDG|;Bef!^r&M>=WkuQ$B2RuD0mrwlPz8eZs6 z$+#7)DA_u=kZcx5iyz}47_CRxB>g*roE#2T!Qy* zxm2G+>bXp#Q9<%S0_{hdy9zwetW**H7PUaW2Ly@L?9;W(Df^V1nc@oM?UpnqU!b4T z1F0pkdIsaEUGIc{6_Vcjs^*V#l5*|KUYLNiA1!zoV%IF0A)b>ndGf<&u{-7i)xH9b zH$7GgFf5Vmw6=?!UR5v2?2m7bVJDOEcPv#cL^W^;9Er@l$X~pu!Gmk*-n;W+c-o)cL<-c~K2zY=h5m+# zk{K^AF`wk}hm}Rq=INzNO$7ZUzUAB#KAH+fy70?WKRRF+2 zCmdJFrF@dQbiJl@?eXG)y@|T)z4W+_V`bR8tVCwgb($r(Xr0JmsAVM*o2q$1dJe>( z5H1(>jhmnUl|Cu$# z*ihHqxF=bBS6+C@)q&qlxLtaxyu& zLAb?;%5N$jkcHIDr@MVqd>Gr=jhkx$t;TmCIIgz!D>GnW%>9vUYPs|j zxl}oNTO{2Ll2zE)nlGguxddBc@ih_ssDX2t_0aeJ}J%^J1v1fzoUtLp!)0#mg9cj*QX%144sPcfC2L^aPr2! zRL*`zH8Q4QabkfFp>eT7aILicpDNEZ@x@Pu@?`?}j-dn&OE)!7LPJ&$XF8bkI~teY zV$220rTl{H^-`|<`{`u}B7Z-f`I7Z|vg{g(g?jGM;<9!6XM;-+z=pimgL$PP zfL$@6^YE32tvXcRGdhl38V$D~^zwV{IoUx2Px-CqK6imZ(IcL|uoh9xsPu zL@q5BMF^MOXs0aeU`C^`nKDn$ewNU5&eCYdk;{%)KG79z_4uwsC^p%0-kl$v;)`W{ zuVG-x54chYH!>qJLJ=ZFE;%@I@wo6hwwPAdNSvX~GQ<*ybr?nM%ls5#A#QjoUUnsj zl&<E7u`gM4q?Ts`Ohhg%&p^9M zDWqLx?T~Iv=GlXFy&yaYsx>)YK{{LD*@}DdQJT)QU^>D5my!?;w~<2jPPnN;bZoqw z3dL-bfl7MkG<27w9F;?E+QLGrwC+q&0Mk-0OnQ)Xroxitw36j1d724{_8hJGN?Xs% ztUs0xzITnmp`!f#Q)LD}_VelCD6kt9kJ5hbgdF|Hs2p?X$xF*I@EsQg$4GNB9I*AZ zpELw(KlwNrWi(*?>VW;%4gj_~WhI(kXRtgo_a78mru8U+^dBr6d0UR*0sHZmAPe@1 zPO#BLtHwx>&TBNa?;GY5O_q>9aN4UoU);PG>-3Zm)me<2`@?r0tNCLOCzt9oFn$tq zP3_CZwu~+WmA`w}hzIocZOm4BJt+ZAMq11m{!X-tY;$td|9Yf9tyI%zVfn9_09!z> zGdk;+T*Ju6zJuw=0x#`P27KgVas@^Q_%<1o$;epJ_)i0tOZjKEYe~S}Xs>47f=G+O zXTbOrLK8kd0X;H0#j?%aQcHB#qFO(iNZ%$?HU}B}mAjq~fOKOgsQ#EAxiZuT1as?y zSw9wb;5Qk~a;wFsValcP1LItg8{aPmw|vDAT>fPF96Z2$i{T7yTzmuG&RqV@09nqO zkueH9rJi$cbkT{LuU2~U67w16Jw`N{BcG|hU~;%4VA|OP^jjN@UyqwlVXA#YIp`H- znjSv__g{=ZlkrbhI(6Z{NM8(kd>`~K(A$jem6I`H{Ea^T73S|cr0)QItHm#O3Fgj( zyBG95MyEZ>mBEgs9OXQzcCJ;!l8JT}E$7i_iR&gT7~y#*e!6 z4D}$4uu=yolpIgV9OHej3yv-T*dT^_b;kz2rQ8)^vHo%d$5ui7>fFahu<1Na(~pTS zelnCF)0goH(}!-;y9#-g=c|i5NOM1Kf!Ac*CH%g{(%Aznml%Tmy(4DFhPCeB!QKV0 znTWUObd|4bAN>TQOS4NEEskX!(j;tu@n#Jnuhjd6=Wi-%CwiXj56;- zc~dpu&G6|&_cP~k1&A+&qxgkLj9`B<+yFdqvDK}@yHx39&2OFf;z!FPFwP(kJJ*In zx&^LUx0aUt_?=Gq5PsBFaNdWS$T)6c`)2$W*h_@F%ILRO(Z9}FYqBbEfKd zJw@_e)c0o4^FFKejV?{|*K6~EC2Nln4}74i`^Y1g8bwBawjPdYLhjKxsYZ3ia0I@d$`|#lpOH)R!g07VzcC39`~aJtK3hPkZv_RJ zADRkzWF*jfTwb&>n|%N;BA3F9F=?seCD29e%c_?a5aiN!EW^4%xCV5$d671x4)GHf zf3e2)epxA6L624{|2nt)Ed;9wui@t1=UkxiHfk{McQT&JapzsA^h%c^9cS?GA~NId zIAIH(naA-KZ_cNx|KuQtOi^6#AS&DaOG~oT)TmZFT#JvG(CC1Zew2^Z8B7pWiI%-D z`rUWyR6CPieOKmj-b1$-`*$nL{CO30+jEiXqaC&`mzLvD`xdj7>>RjstPV&HSf(d6 z_|GWP0v#sE9jMbnsQ=PQ|aERi)x_A2k?eE7VkW*LWW;*fdv%6!Tr2P65< zXteC@gv-xHDlXA{ZwZ!XaDJKDSW(!i2eEb>u(U|(giJI`$@$J^8j^1=mB z%qGljCDP}aIme7+q4tqc&HJOo%8NCe*O2xVHcV{|T(0(1j(2mpw7uvJ z@g!N%uMP0L<8S3aT&BPS&ZG^nO;Gf+lYXh6;OV$R)B}VoVai^^V5=lHn;vW?$R)kw z-{--%Lk|26^Vmcgd8HpL>K$S`Bn}eAH63?3bd>k6s-N}2b|vus!o11*Buh}=N5Y%~ zX5|We+6QtA?heozzoC5lgM5eVcam*RtVi7VZWd8DX%&13WdHM)1hQfgKNE0RM ze$j5kNmQ#G{F_;FY5wDS)Pt-Asvzxp9E8`*a;Z?-A87>35m(kN8CVt$_aIg4_-zsr z6`U5neMj(Xkl+qu-Jxr%kckK~m14r!dN4TmXXzPa{Rmv=u&-%vo^=b1pp9x^Ov|NY0Kgx?^8A9Mi zl6efw(@GrglM?wO#U&DkdB>2L@3MBygu5H*c3QfdC=oBup6Ia;dy+0;IymG9HDUF+ z3bCi7am#Dgd@((_wB7{9?b1H!7fq;}ndg7H5V;%t#v8w#hr9eJ=a`rtYHWY*oL)F< zLk~;v{pEH2Tj~0;B!4hnj41f`*uzsXE0pgYDe5BHC@dx9hNF`ErODJ;Dtsz+}4t`cJhhagIAPCQR;py;nSNFq> zV30cRnMcaGO%X*@=~S>4B9mVn%}+Xi5pogOdTG!a(nCpO&YE^g&Rn!mJhbllp_+e2%A=;p6o z^S5G2s1t1k%W`RZr~}z&0WH5Jv>Dfco4QPg#N%~%L9U3ScCDjKB zZ1T{3WpKZ5lW$oVc$@D2;Om#a!DT8)4QV1Ra*i+sFcs#KEGqm9FK%<25u`&s>^sgh zgb2pjZ#tOcMlMRY{_wEsaayo_@7HkcjdacISl zLY;Spqzh}CB7u!y;G607hY~uwF{6t?`M3zZ7x8)W0-J;a(e*yKA&kuX%tTeIc|`RV zM>8mwWO|r$z{y=+EchUYf71$O6xW6a8O3$rAvK<2qd4?cEc1y5)HY&%$|xNB$uM&O z(J;3h)!3BG8{8R3`t8_`A6zZCr^BxD9@BiMeeV-^KVx*6Qzip>ajC-tUsD3-bIpJ! z7M*AV-dY?j*9CagbSR#Jf!zz>)^Kpe0v{PzMMOgYyW&{uox9HUpmv0 zZ%F6U0D6SPg3tHoO}D^kH_5Uf~YN7k^6S ziwDc8QHP~|@z~;sc+9l-A}gm8lZ2F$aPsZMabI%{U&m?1U4?zd{ZDIpdxP((z1r9f zeXrn)pR_9S!YU@h^RTF7z8A{dD}8N$MHfmrKQL@;--K5&MBz5u;x#`lEM}v>nmpYW|qGweeCn%5Am%O!l zxV|foGzMZO_}X4ZHR{r45)5&N6gcw<1+;z<#m3s@}a0!h&IRPPGpINq(o&(E=d^B1LOb$2m@cP za};e!w>wszq5C$arcuGNE?t5LTfAt*qb$5I0ZYeT;oX*maaln*{bYa1VJ2gtD!9Tk z^8RD7MZss`_#W62W8T!JeZKJ1_Js3rgO2$N8h7doh#BIyGL0{&KKVW?m*j9vzqKcv45rYWew7EA1&+dp^TI2N!W;0IFSDJ& z7K^Ii3;wYel|M_sf0YAFz#y~L=oKze(+|vJFn6d~WTDd-cwmmWzrc+@04$fr4~zq- zeCo@$z8u~Jztl7>`WfJL;5XqVm6up9zdT|1xa-xyziU8>y!cSA-QY9c_-qs=_)$JX z=AER&j)E?K_joZLu##2;$JYGo@HiFRTa8~h*iHoUNg;f8Au|vr9GjJdqT_Z4lT!MoXx)S^uCM`MMOQ#Am4@hol+VE5g~OPI1}%bdD~Uqy8Y-y%ASp}d}l<9!jNwl9QVT^ zsb~HVEznoEMzbP^JsJXQo6WzLuzQE5+bX`PAKLwH&}Y1&^s*F5o=7jo9L$_y=vzRa z40?;vTUn^Q)P7<%Uvt>nL&XE7VD)l*$05=TEE~66*KbxAb?Jth&VyDI%cRh%16Pg} z+rl4}z@L@~*Fa~|4lxaDtTBL30&U-sKDW^yT8bpdeMNESK`Y0uI*tRvWee}m1f6GNBUQ-9{ymKpj`pt|;=%&^Q7j)JTCQA#eo z=%#)7%X#t&Cw_Gh%u5~8&;b5NLd;1e$S#k};V^T&h8}3nW$iiMJ9^{Wyv?E`s_e4rG^aZ*%#O^|Sip~Svr8h}*J#3uw_Dl)`1ZE>W zet~`ioJu5fpa~Gfw*rtk&`j`8F=CD>jZ`7sk6aEfjxXBZQ+@RU%cb=$&>u0noWt9N z2O9;{;c*G#JO9x5?ZNgaFrH(cWjt4c2X|$Kuj4ZQaS#(NbZQXp8me1k5GnmCiZN-7 zj$)c@Q4C#>V9H8=Sg^P{{aX~%)~qN-SxDE{iJ};$VgzeqMKM-9((&pjE?#-W#Vdfg zv?9`RB#yW^az^rhL1A$XmgJ-mnvrbW6eFz+~duqJ(GTdxhI-?lDXP`7sXCCe2TfJnmftd)66~H z+%wD_IFBV!u+33L0+O`1Dsu2W(8F*j=NBy%gwon~&0xpT~2 zWNw?eo#ytKyTROqxT*a1nSZ~zTg^?HJ7DghxqHM-#dkiha_5;_WbSx#qvn>HJIUNB z=2n@E*J=K7b9>C~HFtx#33L0*?KgL;xk+;e z%pEj$kGaklOb_N3nLFOxsJW%)PBM3jxfSMCnmf(h8gm=XjhWkKZo9di<|fSDYHrfp z0dohzAx+jAXH04Z`R z7pOe(%hc`vqPo+>KUJPHEL@GbbIfftcaga9u$p%cX9VGukpC`Z`BJF>{N_!oC-ID#$!0~j|KfhIiMebyBzmdaL>nm6YjflZ^GS= zdk5|T+R;I_=2SMOBMp4G6RnQq;J#`^hiXE!Wto&)#F`WA$u(+tOm zDjsm-LZQMTwW+?gP8>37s<*(+_4UZq?3VflBs=@NO>ePwCuCh_ZxI?Wk%x^uu8&cTzN!>2e$o#Pz;dFSLWIA@&ioD+8X zCE!;1ZEGFtIJsZA;LFa;%P;`YH{X-odJ-;PS5gO{I*>SgUV5| zb4zGp6ZE+>6m}9Tawx-H{7r5P@%J4*@9IYQ5wo0?p}P8cwb0*vp@zBhuW}v?&0kPg z?>ro8tZiwjZ<_Bs5^7r5Q13iRUJo;V?8n08=knVb%Bghz8M@5*L5`DCU)$7F-?#ue ze?LU4x-lp0^h%t>EocyO8=Mt63mUJsF!$x4C|l|qn-+YlepZX~AOiPwF)MvP@MUFd zj%4LkP+M0~@c8}wjs2Xz>vr?E8+F*pF>%{+jo+=gP*9I%a%YZZ@*g>p$-Oy}$?xYj zIvu%^y&i`CC%N^m75*!jy-jNW#waCjJh}Z|iNj;kizCn1=UYxaI0b=sf(L+J=So z&Ld$Ir1N2}Wc*3Q-np6r>{=#*-O1m?kI@!}VfNtvx9~iaScCIkcz!La^haU00RVU_^xfM?{6+i{R~V2+!Ay@oDED1?PEqZ5 z>YHk>1V^c>n%x(3uc&RVH-q1iJIi?^Y~Y3n5{%4lSn%D2^XH=F{#|4aTJBl2GnM|? zh*Xd7kC^YgHex}e*vj8WG&+xt{Px1y24`SolXF{Mb4zW@+~$_Kvz+d{7U!8fh~Ruk zq3@v3$p6ezzV=#Jd~^%eZ2S=cV#2WhAqGp{hhVvtPORWE=lTM-HCa-CVsYNiUkEcOKm-Ir zP-(d~cWQ(O3+7y1H+wD$;o*Y0^Bd*q5rpl(gKBS;1|Sv}vq8;sa<%HeS)f(_&jqad ze?$09H!w_W34fD6%*~lw=iE}LMX|JyHTk^)smUt~*;Y%D{)oSuyM?RN-Ty3*H@9#vAZ?1FXVG_~SyYl&z!1W^Wp;a=|vI}4^XDWPvy6lzp?vs zbJco298J?$*zCl{XtLLj@haQvqvtl(*VVSvI=e?(wOcX@7loM_%GOOYX9+v zF{no9&KF?RaJBOSLdK;^ByXh<$%mM5ajJC@2htZABePdX8q&$8zrpehpMzv(-{P!^}&W{g39YTddYx)?(i>+eDmfX#Z zRXVR0UFPg8g3i|ihf(33Ckrq}dg_1$4S4>qBJ`k_IlB>{^)A&Sf)&)()j7Wj&2k<_ z$JbDgf!71M7|A&|j+%>#@7$R`zaArqU**e4?b-Y$=k9`L=fk3f&Gl}TSazTc*pR7u zXZ3+l_A69*`xal%{O*Bb)_X|(wb;XN`P=;@f8&1;pVzei{rEuBZTnbN(^yec*I3uw ze>7Hm;j!TL7-P0SDqQ5be`7B6@W$B7oPn|aLB@`;9Ax|zaW*3y`Zs6q*wpZ%{UGS@ zRpH{7y5}H~`Tr8?W zdqG&pZ$f`x?ZFBbdypja#3C&g@cHWo`(uR9pUAtEJ2jF@CN`5OwO75Bk| zbp-M7!O{vnay|@Qq?bWYCQ0u@ zHoZnId5AS-yOETRAU>oBPcY<8{Mra&?Rd#x_jp(v^oS6`EBTs?AQIyPBZyy)=Lq6y zgzb^Au{RkbCOqS?sZ?Y4?sztKdk{U<#O)eC*ZCN6;}SRddx`r@u8kmi4z&@)j}GMs z;(o5sy|?mWaA!Ji+}=)}g$ z2;$!HP0q99QzMAC#u zefVyc@S8RKFB$%Z!!L7gIUEX>hGUn6ml4FBho?pm_aMNaL>)v_wy{qjTHoOuG2DMR zMhwr8g9L~R?*uC@h8S-i?lzBqKHMEK{0(7yP?sPhLcz+=c)$lW%^fi;o1j&F^#oS+ zJ0~EAQpw{lGGzQ^88JLIK`rg639PyIOpu!UJA_S0(;C-Cigh+u>+0JRq^`a*!L6(B zld;s*K{5208v0XABq8-KA$2e&zdf)F88P%u)Jph^iDIK0C#oDzOoV7s*LuJ~MhtHm zX%|SFH3_LQZQAHPEBUzL2#tTs5lB_6Z`~V|pih2x%5VSc?ucRC5jJ9Y$f9jH!mC_M zk8no}cOPNZ>`^d{NkbhI^KSbiMbi<(wMY6#3^yE!E<~$txYdaRw8Rz12WdLxE= zCrVA}6a72yPPEE$?GcU6D@S-EhL4VDa&9>?Fk-mt$QI{?BfSyBI}oo&j5T4_+b%_jR3u3-Rl@^bhUHmfgCkFFm{%+937vG8g?Fp zSBv?GdwVg555GH9h7WHZCc}q+9wx(wrH3~;TMut`)*a;=KK%Nq)bQc=NGTTMOhxB) zn9j(l6T^M*=mp>XD&Imlm+|n?7a9(Q^wt6E`s4h9B^^txaY-Zsc!2 zo}HX4Wa8kXqZ{!O)PncfYmY%nNCW2fCTCvS2Kd`2lPF*R;#V$p?mVXY^68)d@+F_Y zWV&JCFjFqV1M6b z4ZpDjn!Q$JmHC+gM$E+&2ie|PvS4A;ta?7)Q-aa52!IGl5uiu1xCdE;CNLAQwWLW{ zzKRe%HZXPA)PP`Oaxqc*>^$W`#nCDhupD1m1`brrY6QGUGGYGlscFd6HaMsV+Qp#e}clTXn z@(D|B@LrTz?tJInQdl3~ux>cPn`67>1W5lprBBM+RWmdWneIQKWuCn7HakBSzUl1+aW>w1UvltsC% zOeSZWo!1Z~E{55?i5l;{QwsIZF!K?$b>C{hgbb=jS)KF8GD_g}4*w`K>)%_Z*8lyJ z%?8>|c5Q+>U2>&Zw1T`Ed=nJD2QrV+b^&&f5SqBog#VkMQMO~am( zRp}oiZgLC5BtIsH!3QO7AAMraAbkGxd5xEFelmHoO?JI?@~j0qr?Ts0DZqD6hAK`$ z?^)a8EI(yVE!H8rPHD8h|3{}_0=|BJv(t0R!dbJO2Tp+m^XB0d>Esq?{V7Ng289;x z2V#!b^EY-~ICNG0)y^HKqR4KbQ8BA`oyx2}2)|g2p_12v5}BojzVuY<_*R}e+j;oZ zx$~P*-<+pTUDyZ#>z&^r)~;I_Yw)+sSbPuSh9PH5?G+96)y}i0n(5D4P(OQiv-8oZ zD01i8Nmti3OV@kDB&7O*SloKyvWdTaZ_;O1FV(zr4;#)n+G2NHvu%>Je6JyD{9^`* zT`yX`2~{?a4bbD0Sl}FUIKQ6MxB%-%^-ayr?KXGP$#K)u7q=)g(*~w4DY9jZPoP$rqSZYZql|f15I4T}Ebj{&Je;= zA7oMQe41f*t)-q}`AbhnlWS^Nc{)|^+;V!0bI0l6`leL#*X8#Osi*LP9;GRMDB)Lc!ufO?Cd^+yknEyp5d0slFHJ_P*5M6B)nR# zoXpu($-pn+-~R!{i@(9&#B0ptx&f4MSbIwe_S|H5K)iMGg74NhY18xSWHe4f-w8Ic z4o2-mg~M|vpL?I@bK+$dv;@2B%tr8OcJ4bQk?zl#Zt`YkB=P;ckaRvTo@vc+ z|C!9r4nQo^JbY%I^JhfqkqM8@zhD}P_eHBq^q0DAZjrKgmYsD?y~?@zEM&W-5yFb8 z-geep=gzZGk$!;AD^lz1Ig^WdUa$0nv-s8~^4@q>v-9v-XwaHr1+e4aBG#@S(c}j2 z=5O0yVRD+a*xB{k8eM<3*M%-Q8=BZg$>KkEOZ}&3OL_eKZ1zpg?Pt$-eswnAJL=6~ z?>MvG=|5|s^IOD?-%ab^yjP0kPATb+B+q{zscQNs0uBCzfnslo!k3`&9$C9^kx2jc z**1oH=j_>Y=hrrHJ$E6-;%8H(KbYdaMYd1DC|e>dpJG9}rhwyZEWG%8(kS#X6TMHf zg4MTRx#3D@_Y|#-A0lXCvjjzrh3(F2ncYx(rL*)LdG}p;juUp9+JPxHQfzkqI)x2K zvlBa~souE*E04)NWHES)beb*tTKM8Q9IlFFI}jvsH?x?0MABM8n__byWEzZs7qSe_Zw*C+1C-JuYzRcex?;&pyVfN^` zS2oph73kcC`tRW7%K7cNUWxXf`<(?13(=Fj2ww3gM4-P>D-!dj^Tc@D&jW3j2#Ah$ z$GKeWUVdIv?fhm@$=x6)9;6sOds(L4@A5geEP@=(;y}px-Fd?9S+J89?)iBL4j>cn6@W2})9EfJKj+@^@77{%wYMB) ziF`IWYs+B|zbJ=p-(ck4b*L6-;p(03y7{YkL@uPCd(Y2p} z5bu(<`Juv)b+Icx1OCnppFtPmtU-X}pBNyCK`q)lj!;L_{_q2^J<%}b{<8L z*ew)0u@0&mb^e0+Xy#Ev%B_nqww>j3oXzD8&Y#NX)iyU@QQJ^Ee^$NoUU`$V?laBK zrq9UWcl&3sEbqJymID|~aEbeK=R5PK%6R5tE_(3Q=Z4T1FL9nf>PybcM_0iZ>GkKM zFP^)I4}UxQ5(MMZdq-dD+;Ge^bOX)aE92^8E^~f%%vYS-N-lSPRx+JhWzgqJzEC&vITkq0Z?$vEKRqNwb~4lac%DPo3l3G6|wSbDH;V z{-@JWHJlGlo9A?%G2eOfj0KHOVsfMNU($|CnXf#v$$8=IX6Gm8wm9p~)A0ctH+!Rb z>b&nb|2$8>dHB<37GZ?T?+PB^M+1(7#qhcvq4u1?oESbq35Pd@isPZa@S;ShCLXHk z4z-1Lhih6RiyLQjhT@@$(m6%pp3wSGG`cf)2RwG>mL_x8=O%J{a>{p%NRFJ=*bg?H zg`Igz#%{?;L}H<;^3KqvoMdPqR2L8RB1$~8B-9=19hn@N9L3->lHr=JoOt2hP)$3& za$$f(ZsLH=Ia_kph3eXKro}>wVxf3WB4=aH%(^8x)26kDT61^g^o8Ri7H`bi72ca$ z(aB6CkTU-}|B8yj;i(g*!i`2tCX`H&u$AMZ zWfR87kV#wsxXOz8i;J+N1V4;HSkaqPR8-7}HPIv#QC2)>N>Ncwv~lKy2@`5cXOxal z96GhCD2co?bG@O)SWY6eD<@X8`@p`?o=`l$sw1a0w<-ZLC?n!|31l`oqAzztxG!gG zXmd_7rvnjdk`r1-cIEfy_Fl9pw=cA%AQ@hgw>v)(P9oYs&el96K01zon~?dzoWW5Q z73*?4MlBh!XVkipgJ7~bv?Y|x?H{=@yd@M1#|jfUv4SO$Ed`rLY#EmfRm4J&A6ZU} zZqHl1I}#r?ZEtbMnY+SU!pWRDb)Au2k;ywk)7o>UF3D{V_2hQu=H*SRK&)7(WN!}s z$7w)0@km|WhET)$P~yNusG=WVBCQW6!^zy_D29yXCPI}1;r5Zq2+}W1MEWDs;-Q}K z)`QwdCqn(BYIdI8b->Qin@`w~zp-$~n0O?a(-+#1yD7Xk63>klCvuTMC>crQ4kCvo z6$7EE8$+$(&dAPiYiLqg>!{vClH+4C?Og7|^_bzl*A)N3aQH37 zuNkiSi{if+j^^QA71sxbodU(-37X$Tq2h6ddq*oikr;}JwJ0Xn1AwF7R*bG%@OZ;$ zl?4|W9%DGqFlL2>?ie0tcu%A9JIwH)VSFkl;Rg&KZ8&N8IK%yh%M5Qd%M+#t}o z({RIcitjg^_=e&~4A)dC{Bkz5KBf39!;OY3 z4evDle8ccAlV`r+Si8oL8BY9AF~724`n$F%zQ=IQHx;ip+U_aWz!rHT;s{?iZB)mf@)B;~y@bqx2D|#*AM%SMfN* z(Hg~=+7o(@*(2Wa1XmdU^9@gBMaMPWaAK?C*@oBEDgLhE*oBH)4OdusE;Srqr}R5r zy5aSPol2!YVmNWB;$It1&QScUi`g*Y+HSb#Ulsq+aM1;d`Qj-0Fn)Us*BQSYwADhl z_F}Z*O@=2Lj#+xg8J=e8ooYDwRZZ`+Zg|6$F5TLz8HVwlr(AOk_gnqH#&E0E=Nk<> z{Tja0aNO$KU51l=N`J`krY99Y?#6#w@$-gDt-XHBaMbE2=B7j+Rkv&S(IXVMy{!01 z!<(;AJjrm)PZfX3aN+fezh*cZS6pW}uUqj#!6NW$M(ye}6 zZn)Lz-z>uoGd2FV4M(>tzRtx~Usf8fxk2eaaj~_RzjEJc%7Cu0Ol< zixuxSTzI+SPYhRB|2Ya18_a*}SCl^9aMbF4 zO@2%O3fZkE*I0UA zGn{-y>2-#q#;?h6q3QSEUApPxCc_nPYy9Pgr&|8H4No%6`7*J0!7X80Dv z(YKV}8pBDWbIyhNtugvW!_FHT{x@!TE8lH~D~vwi#y7mjrCa_+6)68UlYgAyq{)Ar z;e_FH3`fl#E;L+W_?w1n235YR3|CtGYuxZA?~R7*40jrCFnR7ZoHTp-x#0@q|AgUE z3;&$q*gKm3n}!|Z|98W2v)4}yM=k#7LbC^x_b|gr(|?)ao*l}6vP(C6{*2)otG{0| z>=?e(aLn)w!=)xqjp5D4Z?54g3*TfoVR*6OU50NqJZSOpwXfJuqtREp@r~YXIBN8t z8Llw;6NY=tUa)Q}{2ZgdZn(|L=Wm8ft$uxEIQkdW*T~TtzvjObA8a`Kw&LRqCoKLH zmu~gp0+(*`eA94^)zA5c2b0S0-wnsCJeRuhtv>w7#m4`qhAXVRA2aM2e#UT*;a3eu zjo;fY-S9_-H=8_pV>JIst1sgWJBE)l+-CS3!wE~T(r~}o|JMwcnZ3_7Txs}whU*Ns z8;)6hxWlkx@~t!6X8L^0aFNlUGn};iz3yV;|E}Sv@y|Ix^P4dH9%Hz~%44G89(Z)NmFn%28-wb!!{6K@@X;_rywa{?F@V^`0z$I8* z*Bj2`ivq6O4EGpbVR)M1I}OJyymn+?Y;{jG)vjQ(fC zQ%v6X49~ev<@>~NujN0lNcB-_@eeXQ$Kp>gEKAPF-*Iku%g@P%_ZU8l7=4KT{ZzcS z89i$BeL>x8h*RsO@`k#oW!0=UjHj z^i3|kLc>36IBIyi8{X{YZNvQ*|2@Ms7T!5X9vL%?^1lF;b^(yZyS!4tGwTH>4z!(dN;n6 zSBK#~tN%YT+%QAquQOb?SmSRn9JTuQq>KMU!~fo}^8*dP)o{&qir+L`Xyx;^;iQ$% zdxpc8X!y{>S0*4Lje|_;JG(Cn>(qa6GEv*Bf4U zveF-S<4;ojjNxhjqIj#}2JBMhwbO9_M#b+Kjy|aPBg2WmDISRh8LF;~JGF2fXxRC! z;=>JBT75X)rDG!-uhR|p&Q*CnYq(;b;tLJOu|JI0beA4d`ZoZh8qu3{G8#uvz1@caI8%6fZ_Pp zmESvtqn9iFW5ZP+E6zVe^}7z|G4MLvaN+}{ml*EZ~qpI7`l z!^wZs@GlsSU!?d|!%Nm__yNOFE6=|hPMoRqPYhR_ta$Wz)#s9P6(4Fi`nuv{3@5Gp zPIl?v(e$SnPH;mlt_uy9epcyUGhFhYO0P8>yHN3b!wm_=*BFjl`_ksd|A+GHGQ5ck zKe&EkI1yHR`-S1D4=a6>OXtE5uICKb-~a?(uNa=RT=9Tm*#HmvhlWevRr<(7RbS4a z;$p*9*54j!IEsz5ye1h={$26s4cFNC@>0XG5i0-J4Oe_k!`B%eu=a5tFf^sg0{{P& zhHpy4%hK?V)9{07_^~wnOd8&jhF?y@$uvBWhX0m^-%rDzq~Vc=1@k*54Ii9_C#2zH z({NcDJ|hjEn}#dW@C9jjS{nYBG+dpA>(X#T8g5C$-%G>SrQuuC@X|EAIt|~MhVMrr}L#`1fh}`82#e4ZoR&-%i83)9~Ij963DA9@6l*G<-xF{s(H#`?%R%e2Dua z+dd32p~fkKJhwZmx%iakD#R7cmld9_~@N^Klp8F2p?=_ZZw9Td`|85cgQz z2jMQp&2{u~xDUZS9`~WR55s*p?g_Xj;ywcRk+`F{kHUR4?qhJ5;64`jak!7iU5fhz z+-_d>K<57&^27Er>QsOJG~B1-J_Gk;+*5F$gZuNizkvIEr}})Jhf{sN9*9$oZxr1V zajMfkF0B6ICDqu{X5TJ4E|jg625j4gA$||*29u2&=I?H?G$?yn_&lp2wXsLBoTVfb zJXH!WIbi8BeN636m*9c(Z|I|6y!!<_Oe_>OpRa^8mNGyTHp6*vdEJ_}Jc0)4l0_A8yI^W7)Cl_t3qk z=A%jqa8WPaKpO}pTM`34ew{%;-v&<$hHr1N<yhf@J@>kF1|v z`#k)aWQ;%_89K#Kke?wv{PBr{@l#vmElJykYRI&ZO2YN< zmNrlz2P+aheANahEfWS)8X8hR7{}e+V-or63(2|dl}bF^N(JC;N|gBA5ofl_M>T%#-OwlBW^x8k zZ6^l`cIrf~HR3tdHv+JnS;Tl`k=diKctCKQk+k024o3XqCGsGWrn>T3fu3CZRA0Ak z9GWxP*bYfvy}u!=H$+ zQ6W=b9}MX4f(`oQP3wRWz_m$x)b1A`(E9=h+X;I3n+d_zO5oYo^D45A*8^U^>vp?z zrFwduuGi;!U9Q{XdL6FU-=>skqYJuBL|;20SmzRD-a>sAF> z<>Rwk;oN5}ZWnn436HcM)$?(yi|1iRz?Khw!Ri8!KotQVT1DXL?@IwwHO2r5s--!?@ zdm%{cIpLMwal*^rZxRN^qV(`r2f2;XF{?gZ7eyKqZT&eyN zwupP%=c>PCrXSA7XeQ#>x!^Hr)Zbw>`$B?Zu(z=4&{)O>dWnnl?9Wwj-Bw12ko}TlPq8bDR%I+cb){bMWJFC!q1f5v!^`fC`{U zhe-PD8F2u5L47+0Ei%*c$TS?+gPY@xGav0#hich0?}o8MOsa#s9&t>xcd|!t$^zpV zJE;Wzn6TiUWPNgXt}9{{06}M3R0snQ)t+d?vh$W6)T5p<0EG69M_J&>JC>wc_xRgM z6o$Ob-_@dAjpQHwXq)Hy^C%IvR&vw`On?~T)aiL5)i~OfCxmEd1F7I@0!Gw5|JpVfgFT^hefInK4_jfXwnldWadJ&ML#^~ zL<51>bP%}lyt6Kze^d^001$Sq{ms1hEqbURcOM|1n#L6)vR=u zBA(pZLf=%&h@qs4vd|R6v7>uZgtR(tg(Cqq!8cK@yza z@M<@ny#pZJc@Ox>aS|RzpNms`2}QqhmV_cXYM{CqXLGQ%V;JeGHREc1MT7exBm8oj*YA} zQY+_KQ!-@rh8=hvbsHeBKRyNa+>CyDLE|ZtY&e1=6YJ|}hGriPb1`NDKpYtk+U!}~ z+-Ag`kHL9;-6?aMn`+5G%u-vcQ!wM#;`y;%klx;7I{zv^Mhl90e55kJ{=43&0ne^Y zYh6~vQ_YNxdU(m7fBC;mKfm&n)6e3%;fJplCa@yQuhO}K%c~fESS8K>os)xawehDZ z;CB`786@Jm+=(0)!&)nLOnizf=baiiRKwgWbPDeD>eElDyBg5h5-l5CeB_V+@zzOu zS6%T`+c%azHDd4PM^`?6&Q%9obIO;Vx%U45SohG31yBEZb|U=Jv(H|YbLou8CyUoF zzUI1@AGx{m#{b?Bj39e|*WbtG;~i6W@F0 zr$0OFw`JEIbNcm{cK>|Np|8Gl;5$cN_{cqle{{Y&rZIoiPc9mp_rkzn<81|_|99!; z`40sH!0|H^m37F8cMAyk_bR-9C*>`9rfrhF9^9KyuOO{if3RY7z7 z!GPlZO{eI-`gb1fXrw|!J2cUJ=eAlvj$5DU2~vNm~i8YgRODs5&ju(`rQi z62*l2VdnIBfYf<{tJxu6DYMF}eD_LYyzR=tGHgoaHY+w|K$K4jJdQIsym%$$)l`9~ zua`5E*-3u8+iC6e->;5nT9zgIhy%PvYj(rabho=(0~H0371GI4h5WLwQm-|}8{|`5 zgoMQCAegdVTW5maFpbx-{6=^ZTU*>OjA}D}of0Om+iC2XBv2EgQWrJd&e|Ryxw=>0`NBY$i15ID*kk#%x8-SJ*LGb%h2p`H>l^K zVoApNUAGRL7Uk<1Zcy9$l1Ol86}vGQdzia%m3Z@n8uMkMU`N=o;m|sc;S;nv*pT!9 zs`-(?BQsNeFsxTsOkZgPigmJLnIzFI8ZM)>msWCKL&us}aN7buqmn^2md9n^JQ_@r z1-F@S;a(!i;7`z<(PUNLBD<8Ty^|2eV@!Fp7A#LmbI_bjf~l=zZ1NW+**0OrSJ~Ka zpFCin#{;jCZp$JS1(jFJ3qIy?>5I#~HR)8~O>UwtIRUbF^>R7j28E(Xy0~Mh5DuB! zL9`!^&j8?L0xMC-B;Ipl#2>fO~2=J#2b1Gj=5>BcjQB979M@n4RKtm zSeu2BV(%OWLO5|BCT`a13Vrw*vjTfE5r5IxVdfFXGX=e4^4e9qZGIaO;E=_KiF7uO z3>_7Tu1E{qqUsq@TtS3Y!BP+$O>%hQ*#b0dx@s@Nh;WBoL8^x~^lfZ#DyHh?_y_L$ zTdUs}%IxCP#K>em4aU#iD&Pi$n7@?4V$Ai6_O0bi>uoI5G=`w_zom7k0#0AD{(T#f z;Z^e>HuR8h)A+ro0pI5`>`6aYSqWteHZDP2sia8M(PowKl>gSE$zWrQZQob~ed+xp zDYq({pkMqoRg>LI<3XK#+$Ff@cL3g>ezheizzIp!wbyxmi!E^1z5HaVQt@~;XFy1K zS?M7VCsoL3#uK1A^s~~vO3zt2 zo0(Ffv6mYZCupFtluQeKKZIULSHR-)lMKV37(7Zx8@uEOW1)j|iyU_g{^Tz@O;{VL z5>Y)gjVK6xeZZqD9+F#_Lb%4H;fsL&u~eJ)=xjltp^< z+OY2FPIYr3hD#RYpodhejY_%lbaY=(-<1MW#+;{xOi6#ha{FM3Ly6f(XDQm7Vj*e5 z92srkq`JoOmwOV7gZ11-{MV$cO?`dW4M_{4GAvrf6?{MaP~UyKUD8zEUmSmn%-7yl zQEKT|2>mH}BTQT`5?m@Ean5K6{OZRv#ccYr4P71;(E7NZx7K@dqL%T^`D)bgwSpP; zESqA5!5#O>?~&oo7Lp%YnjE zx$Hzg4}BleZJeck706?yiz>&Pd$nG*6|+rnZL}i3T{6#4HLI%w#njn%nL6C<+fIDt zH9~ky@5*&NZ2!W$Yp^{K&!X<%L*6aQY_>2su@z%>AxIt?SUt>+`?!ahB=@E`BU;C! z4L<@Rq(M^G9wvmXD{N3Kc>QP4#8d?M6T{_Y+@j&!dMquTXH(GX|Mtay`73`Rn$6Nn z5rItKPvo<7=cE~>N)50^JycJr;)xaGFUVm5zg6BayH)fl=-~AH z8su<4cu-QVdm4CYi~WP2k5ee_nj%-f9cG{^Vw+EQ41w=i@zPdbMf6ZK*5D7kJq5yO ze_kJ2a9&*DD}sR|u4nVE1~f$I?-Qrkcf&j^7`J33-Pr+U(1qTjYx`a3o#iJU_g6Eh w=e-FbiDhq2Fj8mgvI}zzrHaWJWi9xCb{ZYck9L`6J!|wCJo^{jEKeoiAMn?hvH$=8 diff --git a/epyt/tests/test_unit_update2_3.py b/epyt/tests/test_unit_update2_3.py index 3533003..2df7c57 100644 --- a/epyt/tests/test_unit_update2_3.py +++ b/epyt/tests/test_unit_update2_3.py @@ -1,10 +1,12 @@ -from epyt import epanet, networks -import unittest import os +import unittest + +from epyt import epanet, networks DIRNAME = os.path.dirname(networks.__file__) -class update23(unittest.TestCase): + +class update2_3(unittest.TestCase): def setUp(self): """Call before every test case.""" @@ -12,16 +14,16 @@ def setUp(self): inpname = os.path.join(DIRNAME, 'asce-tf-wdst', 'Net1.inp') self.epanetClass = epanet(inpname) - def tearDown(self): """Call after every test case.""" self.epanetClass.unload() """ ------------------------------------------------------------------------- """ + def test_setCurveType(self): - #all 5 possible types + # all 5 possible types self.epanetClass.setCurveType(1, 0) - self.assertEqual( self.epanetClass.getCurveType(1), + self.assertEqual(self.epanetClass.getCurveType(1), ('VOLUME'), 'Wrong Curve Type comment output') self.epanetClass.setCurveType(1, 1) self.assertEqual(self.epanetClass.getCurveType(1), @@ -37,38 +39,36 @@ def test_setCurveType(self): ('GENERAL'), 'Wrong Curve Type comment output') def test_setControlEnabledandDissabled(self): - - self.assertEqual( self.epanetClass.getControlState(1), + self.assertEqual(self.epanetClass.getControlState(1), (1), 'Wrong Control enabled comment output') - self.epanetClass.setControlEnabled(1,0) + self.epanetClass.setControlEnabled(1, 0) self.assertEqual(self.epanetClass.getControlState(1), (0), 'Wrong Control enabled comment output') - self.epanetClass.setControlEnabled(1,1) + self.epanetClass.setControlEnabled(1, 1) self.assertEqual(self.epanetClass.getControlState(1), (1), 'Wrong Control enabled comment output') def test_getLinkValuesFLOW(self): - self.epanetClass.openHydraulicAnalysis() self.epanetClass.initializeHydraulicAnalysis() tstep = 1 - T_H, Ft, Fb = [], [], [] + T_H, Ft, Fb = [], [], [] while tstep > 0: t = self.epanetClass.runHydraulicAnalysis() - #flow test + # flow test Ft.append(self.epanetClass.getLinkValues(self.epanetClass.ToolkitConstants.EN_FLOW)) Fb.append(self.epanetClass.getLinkFlows()) T_H.append(t) tstep = self.epanetClass.nextHydraulicAnalysisStep() self.epanetClass.closeHydraulicAnalysis() - self.assertEqual(Fb[0].tolist(), Ft[0]) #Flow check + self.assertEqual(Fb[0].tolist(), Ft[0]) # Flow check def test_setVertex(self): linkID = '10' @@ -81,33 +81,34 @@ def test_setVertex(self): self.assertEqual(x['y'][1], [1, 68, 69], 'Wrong output for setVertex ') def test_getsetLinkValveCurvePCV(self): - linkid = self.epanetClass.getLinkPipeNameID(1) + linkid = self.epanetClass.getLinkPipeNameID(1) condition = 1 - index = self.epanetClass.setLinkTypeValvePCV(linkid, condition) + index = self.epanetClass.setLinkTypeValvePCV(linkid, condition) self.epanetClass.setLinkValveCurvePCV(index, 1) - self.assertEqual(self.epanetClass.getLinkValveCurvePCV(index), 1,"Wrong output for set/get LinkValveCurvePCV") + self.assertEqual(self.epanetClass.getLinkValveCurvePCV(index), 1, "Wrong output for set/get LinkValveCurvePCV") def test_getsetLinkValveCurveGPV(self): - linkid = self.epanetClass.getLinkPipeNameID(1) + linkid = self.epanetClass.getLinkPipeNameID(1) condition = 1 - index = self.epanetClass.setLinkTypeValveGPV(linkid, condition) + index = self.epanetClass.setLinkTypeValveGPV(linkid, condition) self.epanetClass.setLinkValveCurveGPV(index, 1) - self.assertEqual(self.epanetClass.getLinkValveCurveGPV(index), 1,"Wrong output for set/get LinkValveCurveGPV") + self.assertEqual(self.epanetClass.getLinkValveCurveGPV(index), 1, "Wrong output for set/get LinkValveCurveGPV") def test_getsetTimeClockStartTime(self): - self.assertEqual(self.epanetClass.getTimeClockStartTime(), 0,"Wrong output for get getTimeClockStartTime") + self.assertEqual(self.epanetClass.getTimeClockStartTime(), 0, "Wrong output for get getTimeClockStartTime") self.epanetClass.setTimeClockStartTime(3600) - self.assertEqual(self.epanetClass.getTimeClockStartTime(), 3600,"Wrong output for get getTimeClockStartTime") + self.assertEqual(self.epanetClass.getTimeClockStartTime(), 3600, "Wrong output for get getTimeClockStartTime") def test_getsetOptionsDemandPattern(self): - self.assertEqual(self.epanetClass.getOptionsDemandPattern(), 1,"Wrong output for get getOptionsDemandPattern") + self.assertEqual(self.epanetClass.getOptionsDemandPattern(), 1, "Wrong output for get getOptionsDemandPattern") self.epanetClass.setOptionsDemandPattern(0) - self.assertEqual(self.epanetClass.getOptionsDemandPattern(), 0,"Wrong output for get getsetOptionsDemandPattern") + self.assertEqual(self.epanetClass.getOptionsDemandPattern(), 0, + "Wrong output for get getsetOptionsDemandPattern") def test_setLinkTypeValvePCV(self): linkid = self.epanetClass.getLinkPipeNameID(1) # Retrieves the ID of the 1t pipe index = self.epanetClass.setLinkTypeValvePCV(linkid) # Changes the 1st pipe to valve PCV given it's ID - self.assertEqual(self.epanetClass.getLinkType(index), "PCV","Wrong output for setLinkTypeValvePCV") + self.assertEqual(self.epanetClass.getLinkType(index), "PCV", "Wrong output for setLinkTypeValvePCV") def test_getsetEmiterBackFLow(self): self.assertEqual(self.epanetClass.getOptionsEmitterBackFlow(), 1, "Wrong output for getsetEmiterBackFLow") @@ -135,4 +136,3 @@ def test_OptionsStatusReport(self): if __name__ == "__main__": unittest.main(), - From 7056b72a6120cc480f82b25bfa0d024c8e6e6df3 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Wed, 9 Oct 2024 14:21:57 +0300 Subject: [PATCH 134/183] mac_libaries update --- .../mac/{libepanet2.dylib => libepanet2_2.dylib} | Bin 1 file changed, 0 insertions(+), 0 deletions(-) rename epyt/libraries/mac/{libepanet2.dylib => libepanet2_2.dylib} (100%) diff --git a/epyt/libraries/mac/libepanet2.dylib b/epyt/libraries/mac/libepanet2_2.dylib similarity index 100% rename from epyt/libraries/mac/libepanet2.dylib rename to epyt/libraries/mac/libepanet2_2.dylib From 85c07e507a63e325639d6b8a510bd9df3fdf8d2c Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Wed, 9 Oct 2024 14:48:08 +0300 Subject: [PATCH 135/183] mac libraries --- .../mac/{libepanet2_2.dylib => libepanet2.dylib} | Bin 1 file changed, 0 insertions(+), 0 deletions(-) rename epyt/libraries/mac/{libepanet2_2.dylib => libepanet2.dylib} (100%) diff --git a/epyt/libraries/mac/libepanet2_2.dylib b/epyt/libraries/mac/libepanet2.dylib similarity index 100% rename from epyt/libraries/mac/libepanet2_2.dylib rename to epyt/libraries/mac/libepanet2.dylib From 1a43916b2e8f529bc7065e58abd09c437f71bb7f Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Wed, 9 Oct 2024 14:55:53 +0300 Subject: [PATCH 136/183] Update epanet.py --- epyt/epanet.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 00f1555..9d4a14d 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -570,7 +570,7 @@ def __getattribute__(self, function_id): attr = super().__getattribute__(function_id) if callable(attr) and not function_id.startswith("__") and not function_id.startswith("_") and not function_id.startswith("EN")\ - and not function_id.startswith("printv")and not function_id.startswith("MSX")and not function_id.startswith("test"): + and not function_id.startswith("printv")and not function_id.startswith("MSX")and not function_id.startswith("test")and not function_id.startswith("load"): # Create a _wrapper function to include additional actions def _wrapper(*args, **kwargs): result = attr(*args, **kwargs) # Call the actual function From 8294396836ba246dca5d3586cee28eb5ac140d3d Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Wed, 9 Oct 2024 15:03:54 +0300 Subject: [PATCH 137/183] maclibs --- epyt/libraries/mac/libepanet2_2.dylib | Bin 0 -> 413856 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 epyt/libraries/mac/libepanet2_2.dylib diff --git a/epyt/libraries/mac/libepanet2_2.dylib b/epyt/libraries/mac/libepanet2_2.dylib new file mode 100644 index 0000000000000000000000000000000000000000..de774bc5c97f438ea2aadd83c0f0fda43fde5497 GIT binary patch literal 413856 zcmeFa3!I%*dGG)3Y(n-BVu&FI2+1VIm_5W85ot(~GGV|3P*G43A%qD29V&tdo=TB6 zI$nliPnlzSsDHKOf-=Egu*V)Vr=&tt55Z~$yr7;_ok;@S6R&7(XWPul`Tm}@*1Ok! z_xtXd1lx1||Ig&}+1az#yDraq?$5I>@7I3$qyKe$l9Uqu9n0qgK5w3$Bp)?8Y??k`j{wlsd=5GHsZoKxU8*ga-oPVLCW|BPY0eaZi^uM>>?S8ADxUX6Kei@&W zGUeUxe%Gd3dsp3X{afGmu1z<-?besS^t#*lk-P#-iVrl-2>^J8|9!%q=}B#w;}iAu zt{+WLz7NyXPCYjHqZcR1Ov+xTcKo};e_qD(KjrgsE6xA!ngz!un{pm4piJZJf8J{s z|Ld36Ec=6>^<6vG(f#-8YcU@;$LFDxo@aj>E{|V$%xOF``1#g9>4UTQs4qZCroC4T zS4vjB=azSC_WE3Q+by@g?VT?@&!d1^Ny3z@pD`HVy~tpf|E+oJ-$MU;bI-BKVj+3z z-xLO>FffIIDGW?uUZ}7kGyw3f8 zo&P;Lv%6j`CG{`Thx*&PXXCE%+t1qxECUahH-77IpI|EO9Pa_9GBA{jVK_xF==qX2 z4FTuPwfPM=hbezSl5Ei!suSS+FU(E91Dt>Ee+M`}tGV<1clmCHaqUiEYlRU!4Kwdg zej@>A-SxNgZFsxT!wpQpX1G&%LiuYnCVzKcnA8nE{;oWIp2IcutJ50wRetBR$kyGZp>+zdgHgBzw>ZU z$?uaYaKV9;Ya|gyok}ZO91bN*Df9^*nxRUSE+rOG@ zX_D7HqW`hz5J!KtfnT?5?djY#*t2mLe0Q_-$NHI$r}caZ{XCLWr*fRDqj?CPjxT-S z$(?-*$Kd(9YVec6xb~z0eV4v^UVULnvYb3H49|>~lYweU^0fKVkyXjiw8fjB+_xa9 z_b{Jp$IczNbY*GF$g1w4eG9}#8^)|J`qg)ZK12I!k+o}2NCsX-{j?rGJgB3(9528 zGIFkQ9%h^@oqK0B)A^U7j_};|1}C%dL(oS?2k^TIyf0Z?8h8u%wK+0=;GMx7zA&CZ zzgYW-C;lk$Jb}IlG!;*X9|A9Y?IooxHtzrr`gE_CJC%#?Mv)EKHLDl#N9fD=`D%MSHc?CTb+KynCex|mOZcEMeBS$A-|x;{3@UF`WD&+Uts;L&6mm-m58#ZPixZRIz9Y988X9mj~$7H|k8~bJ7 z*e(0Uj@dW%%f6SrU}z`xtMEqk>FMt8?@S-6A*053=-Zly)5^NgV~;lG-rMQsj;%Ve zhHSR9QCUZRn+qkUj2-Nq>D=nM0~e!Phna_-{li!ABap=`-$+S+BaAdeU2YfM4_xD_b`~Hujdw?rhGJoKO z{H?j1{Ri&*&;FzPe%^qq)49y!T{Mv2;m2ywKc6QjvRxO#d(uy_?RpVoeC6*lwyTJz zq*s7D^(!Nu-+R2HyL`{B_$#W{@$?6tETJp*bzpO_r{!exf7*}S{OyX;7PFo3`7m;5 zb${aO?v9_KtL$0bJ^QabYxX@OJUmC31H960+kiiX`MAwb3g&wvxB|SYI|BT7XP*JD zJp=wb+rgaiJGP;lklmsE;7WAbhW^=ypSK@BK^j3&d>|hkIJSu%D8XTmCb6Dai^&(Th=I>8_K#GW!#eL>Md-P zb%e4djWVt|JyCi}bKySK6A$w(*&4@ zqtK>ha4^D{hk+rUeAYz_!{ZG7I`r$ZQ+#WVizqk#qOXsC zA=4K=Rtl4^uN;E$3Ule+Wc}1DqZg#G)gnJ(8aN**PkZ27hdo|>9~!SEhmggq_!fRd z=Ih2UZSXWFz(oDq-pU+=TVl3g7Xv;FZpwd&O))z2_oV531n@|A__6ByubUX2Zvl_x zW}rc3TO&s9k8%*`raJSnyiS-;N?+to^O0Fvqen+5rJ02`6E-vpJN6&7>Uq!Z^Pw{kXPDXaN(gyZr;sI=|`H3f#2ENke zVw@T_t&%k7=c+Gu{)y&m{W6|xo^n&fE>B91{+{;2vC94ne~ZVtZ~t`Vl>$HTY)Jmo z7kK{9hY!ye58lh)&GhKmd6>MwTrwuk7VlP$%J^OjeU>({%?OIWrs$9cl>9H-y)i2>Z;ybvvo4CPNZ*NE}h9-67mzj{7AAz`5*ZM#@F8dv(AFv z!LNP_dl>8Dlfmii%|pjMZ}XG*-k(ss*Lg*wZDo2gM}7Smdzststb%@7+p&Jg{~RO%8}~!kKTD{m3%@h zXHE3z>u9CNWy#RUa@JqgB}2p4P9IQSIbOH8LwH-|)+>guEe+hp@7iU+JRO)jlX_*I z%SEg|mRv-q&qX}(vX)%L@N(8~)@>d#9rkj z@0u|%LS4f_SNUeGhoy8AUT&l8(TKh(d&Jcn3^Z5Sykm^!@Pn+c!E zco5uZ&8Y_Nkm>p`ZAYNP$DT}#pNYfMb*F>$aat*C5;+ULq%1|HAnBfNfv&jjtzp+J*Vx8>BF{rTf+hI7Gl&7ojz59V=`MI19pm;9P$pkJwNpGB^g68fWOOwB z@y;$6SIB0~Y_?gI4VFKu)89~>MdSASaSivHt8ALajci)w_Z#CL1AK;W zVAbE^`@{TgdKSJ+_gawe9$pGg&jqKf=hl|8cVq1bo|NrHM%?cY`QMUPJ^yq68@WxO zEi@Ttor3i|zIk5c$J8!KhW<);JJ;h}a&f(ri@|xRTs(NuwvJZ0z`m8%u5FSFjk{g_ z@hrKZdtAT&SidC?r+1G-?|NxYx5@}^=ej|+c zdN=;B>$m7}rXT-}jqy``=3zCNQeBUS6`}1W*Vpp!`<>tyJ}Z6I=`zu3u^+e8)d~~u zhBF>1t!aH`xjgl?_JS7P;vH=#+Bl=F&r zfloi5!+Xl)#-7KXk+S8+w(VK8YioJYA?2$E`xd%2H810XW&hjD_+a0u)Y&jr=^!uD zbLuWzqw?}T*tfvi7Rk5rIIo>XUTn|RyDDp(zJupXr*17@eW;SWchS!BhOz1erJ+H- zD;KPFy7vo>yqKO>*aN3JOz}kd<7?>C+Dm5FHFWXdDJ~axdKlAk84aDX_k45;a&7BK zn_k|cQ`Bck^1c{*nbYrrFm8Z*ZE5I4UuLqj0bW+y%Nw>secH1t{If`h2Y9FZK7@nh zf@J(~$<1%D@5(XLSLmO?zN^NP)01)N+?e}4t#khw&$lsV&|6#kPClf55_HeDzAFwr z_9E@Ypx;^OBI&iWlX1mPgFOpuAHZPGmAiKKT&1-&i^pom1bS)R@XB3prS6Wt(i8tu z(%SL@_~FWQ-$*T`?OP57eH!RJd^R#WHyPhre#;@jaX)aBy02M8>|<~kk6}A^_IzSj z9PcGvPVb8Lf(?Isj$r*3G2d4DF`R*yzX&)J4%a5*e-?gguF}cEp`N`a8NWY%CY>Cf zT?l+UvpjCd56*Akc<*AzUmy4FZI1UhY=+~X8x|$iO^d|a@(bkiq~&Kd$~7OYb!sj) zFYzjU1s~hWGW!_YGXA>w_uGW;I zFZ?OfB`VY2v94wEBjDRd8#EilPm&%&hoXn5C!DP;4ZS#q^ZI1`g)y8ta&>A{zl41% ziDx8Nk|X@jE!+ zi@(1f_q{0@|62HseKDJCxT5VllkvU&*@Ut~JeJE3l$-3>-j$>02mJR2KXjFbw#RU_ z!AFo!;UlHbnv(g{0Vf0W^&jK@+VTC|f_YMI^PG#0=wqIJ4ZaUBSXov_cz%DE=BIV8 zHGX{;TBh<6`a(|neHjz? z=;7fr{NL!^;nk9vjbpPv%>E?bZe)ei$HU7T?a9kHTeY;&&&V0Rth3SI$ZB7h0_xQff?(zK#y2l4+mB>F%QXkDOpbOF3NdHM=2-QoNs(B z`$5aL-Y0)?J)htsJ`NDWd=BxE&sU+b-o;HEt9OGZC-Aw3Pk)6rd_TzNZ~1(K&rkUz z7=u^yxr)zw`J8~$dJUg3gzj+PH2lR5&IC+L{YCbe@7ke#xRdl56$frDpNj8+|At+! z5mVaVOZc07TJR}rs}p=b_H>09k{DC^tWu&L@ul=v$z8tCB&4**KKm+_r(4m zJf8CKo~xamD7D%N#qpv+zuNZUugV^4z4!et9$kM4z9Vrq^n384M;5pEj*1I*?)l?p z-{oZD62*}v_!3<#e7wWMHoDrw@D%Wc+(S+uitB;pSz9X(`G|sg3FFv!@@f2d;#GZK z^KUpV{#8?~qJ zy|ekMe`2VAa%=rOddb$RuhPk$F5lktI{^=Yhln>VmJ760F26srA1KB`dMDs24?m1I zp5PZ7-$rt>jlKdO#QY=QZm*YvBHj`&SbrBZ=%YD&v`wFb6ZBcy)QXq)w&`!LkA(_h zB>z$L%y5GI=FQMBfEN#fwkN=}hpMw+NS9;<|WKg)~3|8SBCLFIw4;RS1#@nIs(97brtlalb zAfw7D2Aw4zyoe7c!hN#D>(iSX`c$yJk53a!8U1$~&*jgCI_yz@M=Xb@U(J3B`2!K3 zyqz|AG^uRDKag)vEE4P3Yp7o+KR37X%q3Zv(VuaD%Ilgw>1fEb#b)<3*E=t#p0%6h z+Lh2lsUDAXk#e}g$##4It-0RFzKSGytI@X_`kd1kJFCmI=gP*JS6oMHQZX#4&WqrX zFOr>Sb}ZatTO*Mls2uLr@>Rt1&gX3Q%P-_?>a^4^R}S~{e6E5?YGM@p@$ebr@AuL1 zRz45&Iix`-yAD5H4u6H;r{aHa=2KoO8jD+Er7z3Pd%a&`&*8i38n?ed@OARH$Yii8K31%YoDKRmR)<*j_)uqUBZiLq zU9Wzrr@r(NpI`L>x35ky@CfmztPQb^; zv0>uZk@>{3M+^7E-($8lyR z?4_w#UHOMey)w(iIeW?Xrt8s9q<7aGG8l?>dFqNFWBE~g2vKs;rfexe%^h4-pua-<~Ni1U3ACHPjr=z zyQ^!Z$Hf=WWt<^#G%vsfan{bhPno}@oPpq#><7H1I7{nwnQmx#j=!JwL*AjVpR`_= z#Y)7(F1O9R{*K(X!3s?+-wloXDQnh27m*ui)7M(u(NUZd_LTnz@NROJ%~ebG&Vi4xEkTB~)+{}GecYxD zpPl3RjPuFqnVvbXY>lU-yP)YPu%Vag+9ML-E)he(dRf-rzmZy5{YE zphv)y#(Q_%$E>7&;{;>&#`Wi9#)Lk(V|uz);Ter-x(?d3$<0PB+QTzfvr3s&bPLps-+ z!oM)l9WssIT}eIc$LM(3?>*U-Z2eilUse|=ub%c(O1L}2?{`8^NY@?aTksBV)Ly5? z9t_iOJouk{y79}kZ{qWOe#++t8jkUKn9o)|5Au<28^3)zx$)-vS1dQ)=WQywNU?=% zm1J3RJaTPfcGqN@z2T$aPx7VnxW9M{dmO=|^tFC}`bu>7Oy|FkBDXeY`7l2Il~3C* z-_!f}+PBEx^ry4o_V>^N;e)o){dw(sLwo9^?OD?Z?S;?Och)%c6Y9w?(jGhEQy-$2 zOUG}&fSAaiO)4v1n88`BRvg{ew{XnPATx*UtPNbAXzd5Q>28RyCob$GU|x1V#GU@U zcbR?9*bwda+)-XQw*FN1Kf^~mSTA5b&ei>WS9dMXWY5#SXUWec*Bi{m~OpXc@YxbG9)Ykk543)LsM)_pr^ zpSM;9=2I>^uCwh14`-xC;0=QbooDUglUdXgkA(B>>Z3wgph1HU>o_Ck{K7ac+$Vmc z{bcq=n#`f&MUxO0njaz>c|4{%Q}xzRkG{o^f+IJEENc(aOn9OZLvAO2+yOt_2QB4$ z+Fm2R}X>9qB$Kx7R4dnuFy9V-_DQPbORsdd6sWH5Ii*K}!`u=2qJwRi|Lz0(cxNBf( zQh(n9ColV#vL>T?rP9DQWbi-44((^-O)K4do^$AFK>q zK{;~v)8swpTbv%xFXf-GugK$SoV<|1G>17ec4ba6&SaCVF7s@XVdTu_iVUw6Y{;5q z*y=KuAjc!f`Wl`SPuF!nk-^WLUrJdMtU#ky~kVaO3J*x9Q5#2Egx`-&j+|Q`L3|miQl>2 z>%NqyBx|hA?%ebLHm_SQ^L)0<#oD&#M*FVVe{;~srdnH9Kgk?o^6)o%wbH-YbCQlD zUK8&UQ;T<-e&nDpf{v)c<62ji zj+-c!{Q|Lrtu4R4v2P05HyM&2(N0$k(pLKV63)X_biO8*YajRCt2*G<9GQjVa zx;3u@U^?~$=Ap+=VZR^s zl9R!Wuirs^o&BiX(fzT?vv+*m+8~GItgOu*wXxsW3~-UW$CdA<-2E1wsb6yCUkLR} zz8v3LV}CA`cldJrT$O(|l+W?y^IZ9-Lpgq|^*_s%-y6zjQ7)WFM}zbACxx7j!$a*{ zzc+*Z2|mPN2BMuz4`}{Pvv-YuZ;GiPlMmzzBbu%5P4Ob znbcJ|GH19>R(5^D@ag*qZKrWo?d`xTJ>u)%EV%v$a$|eXfax^k^dP>T`l@z_SAn1M z+S&eZ^?7#l8G_(Pa^B_1PW#hoW{{qdAsDJGl)V!B9{MmT!Un-jW!p7YDgMHB4&-8OYwvlI5 zOb&hO(kXc`2470PepNIRJk#^x83rEdl_k()3wN*C{ws~^={Ff368{)4Mq>%D34CGr z_2t^DQ9`GD@no+F}uMA<@9jhn&rs6YQ$^NHLJkYnse@Te>&I+B~y8 z%F|tbS9QhD3BOHt{O{p%GM;ph7uWAu{u`TPzvubyll}KX|GmV2FZ18nr2vb4Z}6~f za^D6A_R5~!?C@^*iDbg&&2Ni|O4GR$th;Wyo!CM4f0=NEZn9jP`t|aO-nDaBo#4*O z1e2Z#CccFq`xZ?6?&2Kj;@env)Ere$b5y-E9qto!m-2u6!1M9l$UWcM`zm}l+tu~l zL+RsyJ+1c&O*S4-4tEZ^%%3-}f9z4lECZM5%eV2J*T=!P4ST7|v}=Ybx_34wN3A_( zvfI*i6WQ-Cn*GCn3H!9M2bENpP#*3Pz?TYe1z-O`wcX?G$fM2s!$iN-XX06C8|I{a zDe3;O`_X%0&8Uz5?3co9^c7iLA;ND{g>zJ zPJr(Ex4uX@-_lz*orG_qztO)p@VDrzvBKDauBmOnW>sQb$mR+c*zbd7=L_hrHH~{5 z&xA|CFF&iq{x#Y8cQVdFWFWw%Z_P*j1b=}1#LydoH^32aAb)^-BfJ35h?X7}(<{LK z#D8aw>~%&b4YkYz{T$C@(A#z!A6(cxyk1V{KzTX`>2=M4I_$ zB-p*YaVytfzboYty;xzJ=o^ z|0t5>#{yjz=F_DX^QL?w(IxVY%qI%^2K}+u>(hYe?|%a^$o}3ec>YZ%_3ZUADDu!egytFaUA^=WSqGL9x@+6v5ES^|34Ofx3WzC zR_1&VlZ$3s+E}kk^L(>eZ$o#D$}a27oNTo6a|L^)#j7u8Y{d?OMdy!b<6>aSMrm7Q z3)Ob1Z)^2Jtc6}33_c!kC>Ecudh~UibWrHm*O!l}{lMBUQPEkHhzB$e(OC1)+Jk@aeEG`_`K)Ykaf`2qo-Dl;1tbO8Jo@YL`3o?ooCecmsD7J*-^ zO!SG`ggn4+gf@B(?n0aw_)u}eoQHKkE523eJL)I+4muxYdd%w$v&m8X)?|}ezc}{< zZune?-o<#S z9R{9Qr^a^p7GR8YwfQ2l!{V_P80R(gNRypg=5^TfeSFu>&SmOO*3RX^b8-WoYOL3~ z96Vj*ak4gdeUN3*)Yt2nmB#vowsybM=}srWQ-KdnAIlI0-|;v1!wkIxU$OF?cZ^kUJ8dir+YbV4qN!jzIfYF= zc@wUJUf$czj>bF)9rk8yDEGbO+R$1N??*PYiT5)$G0SiLF~4Q%PL}tB-WowB&;QqC zi_uUzQ+S${jd3FzSZ==mQG1>&mYhi}i4LmB&xYnr`dIcY%#~+BA6NakjAhsy(_h$C zqhYXJw265ku`@+Jir_j^a53-e_O|BV`+a==66(|xJD!6r zqwd>Y>FY*35pwlQqPl7m$FIR&X}-tPhuNg4j%<3&SzZ*2C2Z{uOxBS0QPex;A&D&C%$&&_jA%&;M+OuZx}j&j%lWO1oxiSdnuFyI^w%2;5S<@CJ$D@$FzGX z^fz!1}$ddE%Wuh^%yBAh8)-Lg;3`n9vVE{8wp$7AiEbCp-HKI_)hw3e97p(yWo zHuRWG-Eh{&@UFRpF>gtRbeDwIAV+W6JT%jC3Nt^!Jnu?$=BLVf9(l^RP8WM`?YZ{% z>N&aF+~@3tw&&z@?YWYX}O{bJ`8J5?m6c{#dH0hHYx1HA;C|| z!w+`04*i~ub6hE|{2t_@cH};7OpW`SjH`AQyWHQ%L8`2DLUb3zB?ae+DL0w91iKHu zYqv-)u~kuDD%;u9%3p&aZpfK?@E3~a5a!++Y_`UL1`lv%Y$kd;-9rtYs>G;*(e_wT z@3ZiOayt*eC+xF+2WtSAcC9?^6V)qRy=7T=kcob;E2IlLW1Ovv?5J4Kh)|I!+)p{lJAf954S$r&bjh>#bf-N%MBKL0jeAXkwIX0u;j0XLh zp6gDS+uT0wA0HFZI|uffe{S$dMrj(oBX&?Mi?Gx(HwG)q{Me*nD4ZPM78`Dnh6 zP5|2@JkRS}IY0%$y{{VffeJ8%GzHKcBIk7VM zN8fq;RbArt5t@F?oPQPltS|bxl=)d5f1VXQo9>;I>|I`8vzhJBH&zfSy?r#rAq&YoQ{HVqr3^W(Bp(m8JK&Q`|rHNB*Jp_ChIvf(*(Wj8bT zPgPHKba|reby|eegPm@z!r5eZR%itN$eZJw*Wr`0U$W&H>!z(`-K}NPS$^y$x@k?g z6m+T6llOU8O|Rb5s^kBd=M(YaA7<-Jh7W^`cwYXX`tbZH`ULx+zeUGVWz(W6aZ+-J zJL_3G0eVVjM>tOBI=yxNy4w+3YO!U->!iH4of{f5)ab7j$2u1k_%7z#Y4F{Wvw#hF zL;q<%tPxAL&3}(*FCIL&Am)$m@w+d92mGEm`E+R?@IbbG`V71JfueTEQ&&vu9Gkc_ zOUF1z?CEq$w$4$|y2EJQDpR7-V9&|ivvoz92NF{pP$D7W^X@9B7bD6z} z*hllV3*_<#x?4j$c0o5djCqW;BIu#AmtRJ1X%+k9RyAneq$A`jWOPJfUHLhxi_Z{r zchC{|eR|(eDyQ)n^2KdVSs8|ZE;Rn}ek}ICH|%N2m4inAfk%#(ZmPrVi%XTL~`oJ_#uj}^6p$0c7kfm^|9I_>_3uc)#nUw?UlZKquQ)RwpMV>S4= z@TlEo*5%{#h{nO+zeM~tfen9Ew$4$=)0yg{jeG?BHuG3Rf5kp`h%tjMc6U*Dn<*J1 z&S)oN&o@|FWjjF@g1(&0c-oW7Sw5HJx{31^(9X&jfApr!Lw1h6K(?OMT8q)=%CR4y zJ2h|i@zvi!%-U6&c~=!3U#LUT>!*vqwD-5q%_GQ;_V^UGLoX~XYBvEt&ns#tA4qsW zuW8OYFCTsz4bIZpS4We8lknSo9@(MDMyB(?K7Ixqr82TE(oa6N+bSGRz`OTk>l_8| ze%Qm2@>@Y1W_*eN)>bzMefx!m|5l`9?Y_rZz(oaQmll^$9$E)eU9KQ}dHX(gk6K<|^6!Z=EEB;F88+`7| zkAS{0Z+rh-=RYS)-}RHAugTm|>Z<<^EP1p%NKQTQox8KL!51Cyh3$9F>L>ICXMP)U z-Ol#SF0g%+o9!c4tUT95I^aJuUYrY?Oze9nZ3=TFVSfSkv_HyuDNZiTXKivY-%P&~ z!TXyre&8cwf;2yo-lxgfslVp+;Z@nbCz1vFSReJB$8WmtQ@HNQ_We|2{1EHg8M#;= zPh$L#r;?s0cDlQydvYRs(4Ci&p|4m&*9PVVV_p=IySK6eYSG)QRR)7o7Pj#QsXql%G@>ub9fVmis?4F6)*yS0{KhRp@54g9~a1Y-1FGZR-x;sNwchWeeAc$Ug@?9tN6!xK=DCkMc|Ofu zJo{ESTIx>2!)H4jgf+Apxdvhz)|k85gX8M8TTi>j`vIf0>5BN4Ii>4r_AIPbqWcEJ z{C(cwlDs~8$T!c$x9!RJH^Byg$8106(9hPs4KB7rfA^<4wow*vulsJy|5?}Qr|R|j z3iZQXHk_+G6yo{4QD56=8_Fx8oVsawG{+FrzrgzRV**(%vjpfptB0hx#_&zUeA|0f18eVc4I8%HPiDmE3H2}Pi6N7=}b-R`+}R^6sO!X z!^Cm8n?KGYw z)@f>&txIm+>cYdyYqzcI^GU|L6V;uC9*6#6Zee{}lp>-`?Gt=uzZGA4OQY0BMG znkRWS)8BbAP7GuB=Hxv?{)1i!KCtpu+dUo1Domh&zh|p;v?sa;5YZc@6k9- zzBT=xd6Dy{L!B^Y=*R49wh#8Yr1gmXU!*?RL(&@pOyI~ z;{8>~zTY=wvJXCL%s&AalBtr;Mk&6Y-|&O&`Mk{Y84caMmwi4ON3t3E5Pa?-&*h$wa=6c;ftO+LuT2&&y1(#f@q#Pa7BBK=+#o66Tx4!l-pO~?3QU^IS1PEvgJwBFw)z6*4lOq{SDI2E&+ zy?wMHj~2(`0~g7o_HpU`fM(yaaRPks+L;A$0?!mDoH2g*o=QQSpz{KnYYIc;^Yweb zPQI+(&(toK0Dn6F?0k8>zYd%$4$!+W|NJkC*!GE8~*T3G+>uB(; zcXGAh|2cuu~Q?W6EAH0W)s zo>gX{f5Bmu^TEcS9o_YhAIIJgp54Q@XrudFMMJCa`J)3_ADx-Vw=;Q!cQ}(O-ecd| z{m3cLtj)~sq25yRYoWdQb$(ofpLWQ$?Sa+adSVt>!Zwm7%px0(9bK>cd%8D zHgu`VWCMzHsqD|GYODU`+jKVjHbxU{u*XA6ll1}Lny=)+-BN{l1bpWZ{ZQ;3AcUwF&o1;dgPC z;9=SsUvwn(qnUS_C!By6suS@-L7XQ(YUkGlU2yUw=FgSrfft%`prUz8ZnHrC_s@5^ zOPy<+h~~f6X3nGVU6KCRob66b&hW#l&F5<=v$o6h3_l6G5@cu4%Z~CG23wBr7x4Af zKSzg{Lxc<|Ca9P`*feXldrba;Vj(4RqK>bdDYlte58Kz zk~XKKxVPgr*l{|_3`_?pZhM$mHK^n5dIYD*R0>He1uV{cgn{+HuJgfjL*zENdMDO=v~ZE7KJz0{XQbPBq1ZGgw$ z`L*8XVU;J^4xIbx?*Q#f_}kx>&0N74D;i^@^P^0#uB1Q7#3-;;XHgGd0zcVc#jkRA z*-W3F{$>yOQ0)v?uY>cocApqNjLl89de!Ekhi3RYz!W1;w?qC(e3zK&v&Yo#AEW+* zs&BukuW#Sa1ED;xpI`jW*X27|{l9eM{&A@Pm-NGYr@IaqHItm21d z9#+cLPuD!)4d;fH*Ong!4ucP;?_OwIoz6J?9qvQ2zsa@QxALfZMxNHb$#>c}c|Co1 zu5oQU&+*@D{r3gF&t78Zxli$Rjy!$%a*JN#lSNOHUdsS<* z6Q{rNIr`qr^_B@pRzAMvx2L^}Ep3qJ> z%FfC9eLwY?n{v|9tGV+CxCnTOa3VbSi|4?p#%LNxyrQ;U{`*Y-y~cm9^xvnu@6J1+ z7xg=T-+x~SPw4krCkM$|c!uBm;Q0+J@mKh^y#b}HP5QUFyXvQ(XUsD5VLW|T%vXV4 zkuL7{wzoA`6rEM=BcF-vvL1ZI_iapg#&#AmnDGY$6E@b~MB5_MN%q z-iblnJAV5#-rSg;>ec?{$c0clxcISi}cQ98u^PrprGJx;aIX2u0 zKQCZ^!z%IvE07O#pXKCOyOErT|4bhi#EDwt{fy=;otfj?S$V;oY-)Rt+O87sBairE zz~^#KDw8jU?N0S<@OdJi&HNzg<3}5Qbg$M8=zFt+%k|CkYS7`G$c*wg1$?2l+WR%k zoOI`t^4q1uhwnkB4UHPC`0X=*%lmeRsjnPh3JcFzPjE3RedsPQ-N*8$f0psxBA5pk zJD4w{AFqp@ossY2*Ev^4Oo z@LPBU7Vc#pI>56RD}I>^d~-eRv7M z>qxHcTX-yz3*<@b9`L`T4sbZOv{s$IQLnZf{as_^PEX zWfQf%)Q`*krL=dl9e8o?0(S=Q!cYgiYCoEtmyTqu3z~$sLG}fYjh$B?8io2nkI43E zoh55GQo3U6l@sQcC=pwz;O<& z)g|ZJu${*#un}teDm!=P{f<>hy>c__ zGxwnT-_HFGtNi^AH_vOm-=X{#cW*-!!^)4V_!uywtwMl{5aj2Ku%nE z6D=1AuDtrxW6zD-cjW7zP*B(4k*#4q!TuPoiHj;K$DRZ}&mD{N`WkB*d3)+TSQE_JT@?_lB zU86QCQ(e6WLhtU(rA?0PNS<^S+h~(Hi>-HqYCoXuGt~N*aDxoTxY3y3SN>FXU=nlH zo^`8B{Ie5!eir(Of5KV5t|j4I9Q{Rg(&x)IyFI06NxpekaYjF+G=aCPscmlT8xFjv zcgz|tmnP$qYyBp7>~OeLa&W4@%Y^-`nm0Td&wKk3%sHz!K4xtTY|yVrZVT6aHb#T*Im7yp)%*6Q--+#97H7fFsD`^c@UNuvFK67Xx;HB;OS*Gp zIkqIVt&EA!CEe!Ekn$V9OTTrFR`aoU%S1WvX&v51X3j_^ck7+d&Ys!0QNKYCWqCw0 zA3nn-JI-cphc-K)(L12ecPS6PLlN(!c<`|_=Ku^3^8y}n=24jrUwNAeZ#eqp*#+-w z1UUaI@Js|p6FXmo8*tqsiV&mmLHeQk!8~Z!c z@?vA~TM0Icvm0g~?rGq>*Pq3@(#GaJcEr0n)1rOCcE@44wQt3K;a)lJIvXE8gFWGV zBs=G|P2;pYXDu=4j+a#3UA!;1c)Jx2^Bd)RF`owS70>a7 z^kZXkX4}pxF~=}|Z11&37+{#`VVE-s7^>ksP8&Rz0t|V0WzEs-d0xK2!;G%IJ0UL+ z#>8`c@WnG84djMHTn?`7(B%8qJ17NUF`41 z3p|j<{t^Devm>o9K9WA#*=}Cm_Xu;S`TXY}(?*uGOHTd)Io@IUxebqvqTxH_XM_Y0DJA%27T-Y3Mp2`)0Jw!)f{167T$M#_2I5 z$-s}f_f~mpi6U5=!o(}W`{H@~4# zj@dlXVkyrbFQ5#oyyRugZqwSI=S`@I!%k{READm zPHS`$t$t$hO92gnE==Kb@|oT_kf(Flw~)Pa;9I}yG1wE49b{SIWb>V0mNS>Ae?o;9zP40>Kr{2%1%yMMwO!A94YZ&yFKk#$63 zw=~DU){WaYiFt+?G3DnR`+Q3@{(tl1haCSXW5;`?v{xv87IdrjI~lJLvxV3*=GUN0 z-!uuB2feRndkKiUl>677xO5KS7hPzvp30i^>GA?vQ7&4Iu-An%yY+p`+55ttMCC-z z0H&8s0aN~Zm-8`2$n|ws`Tu?Ai%8j2`FFYE4+Us@D zyMb4{$h#w*d}m_q?=W|*ood~&i+CG<)W&^lyLtNfx|a3%+R5*Xf_YMI^PKVA=6M$I zj$GcHE69_F;NzY~{Z#L)YxT2U2ap4pXpQ&+ zhO<2l@<}4SsWRoAiuMsHhGu_^JIn3!qcM#-ZtEUek3VU4n%K7A``Pl-s%nRf1s^=M z@08h?Il4N?md;z~ypQb%AZKJb3gyS7CucX?*IGHz8ULYC_5)VeB)0!J*PiMft;8qI zIi7f}U-_0}*=JZv^A_PQ8P1-KbMC^3j|i9i$i z>W?=3AEOC*%yu;SZQ+(Yq+*Ad9%&5zk!D&bH<`*2&#J**0jtGZs_*@S;RUP*%7#%^ z^Yql69agrkRh}>ReUpP~+y{~ao8ow@Lrz2I%O&^1lbtp9^@DGudnN=&m}6RQF*#?x z&bh2*4L^)uD{+5`kI6&(7)M%Pjbri==4Net+?>}&x+RncSmL-j`|L>TyZnobGoM_V z-3R%qorm|d-shn6zVN;ApvD)^i~n?H)An|0{iR^vi0+hFDjs4VS|!7ODpQWTi2u~q z_I5$<(N&H8cUrrytObS{z@QwnKVuzu$jUgkpd5X*p=HxoUpW z1DdPGp|4TsZSNf}!C%159%;K@rrq3squt!;zunx!{-)fyOBdPx?B;XMHSOmFZ;LhV ziX5C%CjHd~ezGx7Xe(Ri`ex45??RU+-?{#faA0%RxYIMwJU%9aXZ8x(eQvpUo`9FM zW>CmW6X0{D+QKhKgU?0J0iQb0FgzEzHhRT)>pEn2lCrgHp`(!t!?;P)G*p2Pw zMPt~D`T=4nv(xbJWbAY|Fqxgs$fVhXHZmzYeY$W#ojltoy&!w~&27mRtsj_QNPd5m zn9lg^3+yrRHbM2Y9wIwy`#FgH^taYUKf4`UJkxBf(;L|QUT-6CecU<${Z_P2z&Lu> zDe{`u9Srt_G5!Kr3=W=cDg{iP=Dhe$R^w0 ztcA!o-^pAm{+*%|`APC!4gcOxs)Thw`APWkS=sFOvB0UqJ#v_}$65a<%)jFIWa>UZ z(JWr0`^=z=8^T&3GHr9HqBEO)mtQTOM044V|C@27JcNA04OtwmISL&0EgI8Y2a#2q z^V(?x@Jn51P$t5G?me+szVGU>eIH8(?)!niJ7z}1KMLn5E>T_T{fwBuqB9p!oqoR# z`6}uN|JwK5g+D!t?3fIZ`>?gimGB7p50!Py;2nH-bbX?~&Rxi~Nmj}Sr7d+vmtv3o z{fn~4LGE>~a2oH!c@b^kH}k*Gos-n%hgZ8~mo`6HDs6spg`QJ}ujcG5dl`^{XJeSF zT6Y9Tl6SMk)UmT`*jOLPvD3XvsY&_4T~B5E&b) zv2IuB7hIMM{T46{FXhYxKE;whstg<&L*Fd`7qWjDJnUUYpS1Z+wV_|mS=9G&MrjGW z02~@?sB&i6=-nH1tFO0#J&CGg`~aS6K`%1SRV?i4CZD0_IWVjcpvqKHeJ7&!uNWA_EXPn4qGb&Cxdg{pJh7H&!N|k_ha<4WNHL_cJ?;-Gd#Du51}Xb zxD9p8`tm9Gz6+!SjlS@4YBR9kHR_G3Ua4bdI9FTZ4CVKPLugQ=PQYP2-z_{BPiVf1 z_ccFkkln|n^BsDpjrulufS!*CX6FB4^(%bBH|!a&@23v!?MyQu!vzkTh_LpS}+U^`p1W6#1}(idr5C|SkcPNYMwVxEPz z9$V4{&9nAq(A%5WsI6o^!;|5;i}yF|GCDog&`Ilk`*UpU4Ho;`{y}ucL1+~A2udeN zW@XPpyrXl`gL^);OEkS69NFD|Ep?!Crp(D_vknP5KxYcWnLp8Z=N`dK&i@OIa{-#C z;{$wM-*>Fz)PLZURR75TfLHXs+CrPzBj4f}_9-;{wm?Uto$LX=g#J$N3z!65KVh^X zMm>tNCm%Jsu(p+xr)j!>_t6GT1I_QCE&i<8$5-F)^mt|ET5w8#nKL26W9Q1!koh0{ z-BgdhgM6BOpbx=QrM~cMI98jkHhp(ReaH2(ee=xvrhe$#`ez=pXXa0N-i-Nh`@b~q zmJId6bKc`t4}Hle3(v(f2Z_%@y<|>z{ciPxpC8u?&pYS1ek7yV7V}TF?r3M#f^5R4 zgI>3%ee{u&@isVp|1)#(cb7T)&3oggQRgnk7p&o##*xo#F|x)G-j^j7k5~WjeD}M> zK1O%JaptS&tSt5*y*uZHj4K`}vW4=;Cp_;PaFD}`q&V%KYa4^PTh7koB%GBk0YkHF zPVTI1JDArCm*V%MkRRP0sMx2Ud}F1+PkR}4%>RjEs3y5Y*Y<~Vjrduq?9FfF++2Kx ze#pT~CpgKD9sEee|0Wwzd^HTOn68RsMf@Ai;L7K_|DUsXj&h!T&F8_}@r3m0(ei}a ziYM~;0o`<0r3>EyIjokP&!%~DZW0^p@8OK$B>vp*^DNpQYq^g$ysWXcXI_49mM?-Y zTx4t2*79VEVLean4eQjDNk4Xh`-8;CGvV*B-rU7}vbMWdIUxE|-k}f=vSsw!#aNcx z0VkSYu#rtTLDq+fdv!Od?nWanx4Svr}BBIOx;$U?lFn+(ZEN^@HGH}dmoezZXUDbM#(+BW4`;FE)^3UGl9 z3GspWVw8Hpex!4Uzm$J5_)FxktL!NY@m8b{o<<+!^-=0-tlyQ`f1mb44&L|+m<^xj zf=~RRTz@x;mla!?-YMWK*$>51Ax7T*vE&JU7wWbfR2RRzYiDbnejg)WOC9rhku8gn zXC#uzIkgo&Mm`-HuP`~C)6wB#+gdXe&yqZyLY57ucS?l zIA)Z*jK#=&S5Hrz4PNQK`-y?8T`q3cofL|lN02+U9YJQ0y9cD_)kk$7~^ZemJK^EN zexP}%m(1y|?@~X|Ft?vMZT#zi7j$Ejf2}#mzxMK*`qz{PAKGMJ{xx;}3*!sc@T|$d z))?}y;c=7Gk9+_6 z0mHw$f1Lw!;OF39KS*qv^>KraFZ8cNzfT>3f1QJub>JjB_N4r4@g2F4nD2Ctj_k$P zexAkizoCB}@Q~pN`IV`Eotd}!5G%1~$YHg}zm9!L?hKFNcFB1<)*38%CyAWP*w48phldbSlCj8|2 z?UFg+_awEQDShqs(A0bm)ylLNIigAM^|j4M&#iChVsQd;8sY@$p2_(3={paYU+TYt zJK1{Et!-#zeryqqpl{)v!Mprea^ESw_68q9{=M32PV(`iIS~)F*fhfj{hgxz#8cwY zEX}cB4Ikg-`qKIN`oXqTuu)BQJuY(Ng1j|E@+{ihGZOFVDRH*`Q|FIc9HqZM&fnU{ zL(a$e8-H^mpZCMeuWe4ZKpuj>9B>osn&6`v9O6B6;GpL{;Z<#Wg;#u5!5R1y*|Gh; z!QUj7OXEt-(fk0{W{&J%N;hn7LEAZsNre-&)qWy$;JCfh9xK=W9-WiDzX9uB z|E@{PJu8nEkBRK0@+7}jJcMuGly_78(>-s|Z_Uq7zPrtlXQi%W&Z~EL9Z#PDPr59{&9cdVsbZb5kU`To?;lTDB=nD6%=0H^z#bs#+xe#0|pAD)GN#Wz~_ zS044K@J|e;c`7cPhz8mNTqy72*ETdr3+7qL;|cr-i|H8u?d%(=WbPXb zGP%Uh$?QGy)|59Xgx&Lo?7etpwv#ulak{^q{V-nf&+=d|bSZo?%gaHev-&+vb-$zKQHTS#Q(wAg$DR$q zu;I{wrOCiW+LJ^6rbg}tzG?D9R3`iIBH@^Ez?JFM+S%0ScXB4W^K4hvaqQ+NN6Sf_ zZ`)t+u4j`i`|ycey~MsN)E_+?UyZu5#g=CVhAXJ6el(ZrLi*-!%NZ=>j%NMc$9q(f z|7Ltgccqr6Ju!SXxy+l$WuC!Zb*tDrwE{i3JgGkee(8htW%r%#wM9?L7h-*$cgo=h zo#FRAuJYf@{Won3eZt>OhW@i~b5jF%!0GHJWuvU=cL`_GQ4wvbi|`3)`w_LJj^X8| z23~^AHhZv)et=E$x8LM5Mu9Q>PPj8jbI>#WT`Tck+Hm&|y1CciSz+Ud*J;~TVyw*h zV)Rx1T}6`D>^&mrRGq`q9$TFi)%eJ#`DVJiCoY%V=)*qske9M?v?pY5@PUCj*@nMF zKOBKSQFG8eMfx4u+uWx!cj#hs=R3{qfZJL;Pvv`gZu5-asixS(w=>#wG-%Tw=q5aJ zSBGK(ouAgbvE*0T8Dq^AUNOJCs2+GRoKR1&+ddc7olZHqQ?*yQa8z4CIX<}Ae#w(^ z_3(u~|6S!$r@35efj-&MgCEMfO7H7Ir*K!0*_}z~lM5NY(Cz?75zk5&{JPrqXiXSh z0S$Wt-e}i>d=DzlMZS+izAMUeatF5L_9bz<`y(AjU!xkcjSgE#Tb~QwwVnFfBfp~u z9mYFFrNd5UFW^Kv%;H7Hk*t~jk(nv*pm@i_Z2AFRTPyRdi+Ne&hOlj3f4#QFe}$^<86 z!S`LS_!U@|X&$sK)P>ZseT+qO1;!%2QvX`Nk<8`J75`B13SSoUQr~1`6*98Nt=}~5 z?b>5|yY8-_2hb62Zx=RU1e;Jp|JASy`mSh?hU^1>cbxr!Ck?N%6X=L!jp}K>;G~0n zbACfdRmy+>ZwCS5Kebbe|%Gk?sak*ek_lPlO}O$llt5GgeQd0 zKh@e)X8f8TU+{@0+>JK$>96@*cc{CpYk}+)+$m#zFLmF|T$+8JXnlgb1nbZwx)}aP`wMpgTO-evBp0aSUYF#sH_{wc(BMPS~5C!!ug*8ZMhm-yPNh*1>az zqkV9G6Iu?Um$sHWxkt>!Ji6=l zzP^QHPs5wfz?=UFUyh=~#2;`TGH36qwdaaEShtj~t>5^Yx)UJ%jlVeRX==~Wg&{X#zvnpFO6$+#H~0v@ z%|8c6lAUIJMrX95eB&VZfH&b1fA7BXqFtXRhJ0oPISO(O*smeZH;x}IF3m5~`eYF< zp_BBHaQRQ)0GG1GLEdt3sXVv6(}X&jH@SgbqxyR~e-n4w-_A}B+26C6197_jJxBBL zf6vpr&^5G8c=t;)zM@=MS^Sstu0L`(M~f5Lv&rxmwt48!g_8;R%VGfKtl%m62+ebe z)_eXB&*gnbIu~ekq;pa3_}_yr7fy06@V1@dYUQzrEHJn*6s=bm%v*6Mao2OwJKFozcHWWR`T5r; z);qFevEE7b2zn>gBh#~bWa7F0o733)7=gySG}j6A$^S2Cta(Q?{_TGc8uvB!tAb z`<_&;ddp0()y&@{R^Ey|yiZY%3iT5A3>v!-6t^MwZ%0jel#qQ|-&Vka+IyV!1W61{cX>rTr zdiT#vFDu0M)o^CP$qF(=ew#SAsqKtpNU^-yfkzi>&*1ObJ{F?w`0bI6jpCuL%w>c* zFc-bES!eKuKAxF}-g(bFhM33D$NrjmPzN1KpHYmQ*C#Ype;>;058A$7I61<;-d)hw zkB$(om`*l7;CYrlCNrnJwzI#OX&dpk?%@K*_8zyi?VgRh7?=I=-Sw5$HlK%|b6f0N z)0m96s?B(cIYND{5#O4rJAV5YIfs=DggP&O=G?TJCLcHo#zeqyp{G@dVYC=e$I>V)oz|& zo1mX3BY3i~ej|F;Zj9sqrWo&@Mvt5AfTz!IQ`h6b>Pkj`D+7BD3~Al>Oi)+8@o!|u zj&-}!Wo9pQ2ZZ)kk{=&hV{HoTL1@GJk*x!>FA4cg=lV6;GAG%T@ud5$i+rrKyT!&7 z>(sQbpi`f}Cxh#F4#DO*UFX_juY(=f`W3Z3y187)xJNS=V)flIPKcFvCl9}H(P@91 znMZ_!EFawSSaIDff894h-4SOu8hFKS^nJN~|9Nd*@OPOu1$59kv2^|sEe#<)MsjvMzOAF!vBcc3-Hy}f7SF13H= ztD1MjLlMlPh5UhZzHZ#1Z+tC-tEi1=oj1?zZQ9s4FMGvv&wVO4s-4pdq-1E?RjIm?S)el|E_kji7yFbYH)APG` zf7*}zzVB-6f|!J{Ehfp#A?W9y{ErOW85}6@35-oPM!83H!}yE;XQpkOcauz)JIBa3 zjwu(l?^28 zPj@{w!Pt4@hVfSaLxv{V@p5$7{nn;43dTX`JCN z`EmQvtp||rpJ&I-=_Aj6tB+vAU&*~)O|WPB2)2gzXs0rwJW;SWz%g`3wvWDM+Z+4Z z)|UA{YHgzVPom8+Kg`fD+s4HK4~Dp3cHqX*;x>|h^q;u@ z+P7kbZ$DMsCeo7)_-S(??@n)P!yIolwYl*q+Wb|vO@9@d{J`)$HVUaYPz@1H!{Sl8R@&lK7H z*IKjoGFl7gIGCT6Mf<`+8@peae(kJR-@WNsc&(Rf9a{VQnN#EZ-vQ)}-<6fxgXi|- zHJ$(CSr^YNUxFT}g*8dFVc$$R<7c^BVD;zx9#)@!t5&Ff>SZIGfa|`*L^&bD{N&oaXohh07 z>VEExVczTmtgHMnew!W*^q9{%4gXG%Cf(}K%rxoN9)I7T#`QRD(XGPQY^Pf_kICxY zT2}AUk9@HE81u7|ojl!3o&Rd{>8^jC?^Ycg(IaEeWNWvQcfuDP8o?L!dDT>&B(qz| zJt+sZpS_kN_@R<1FYE#Kz&=eL=fJg% zJkB%d7Ur(}O#?RMVF$P+KUH53EYLQ}<@nr<*E8BbVtR%A-uUg&-pCw$Z0{k5<9zcW z?0u7d5k7YG;M3xl3nvHYkF^xT$@eF~N1pCKDw^&kL+VUsPnGn zWZ<+?qW!t`-`9N5dD<@*^rp=ReK>x5v`4ud?YRwb^>psqQSRJzA3h&@y@%NAJ;Yvb z`pW0A`^p>H$9(m!XV{bTkMs`@Yh2?y!Bk~0(r&{^dpqf4|5R>dBbBrIWfq@V8o+x+ zZ5RC_!z(#$WuIfdh;8%QZ2LTXdB5TSHsa}}UKh9=ZaSAhH{`Iskv~v9`w{>BCI9`H|Ng4~e!_o$(|>=5{f9l_?n}-_ zUqZg|V*0(LyIx!8zSHq~-0#Z!=M8Z8V4XAH=A&hO6WtT1_XFGBQ`M1=#kcNo!3X<+ z{FJ@nJl4hjtSj}W;j8>BANf^bon5vLy)cd)va{DZ=R4fVXDOc*%%O)lzdsqbb+X^` zd&ho@J&NlXufzL%PjQ#i@&2qe^((W0=eOLs{^8a1v${Kd=MZzTGubLDb#sPS`kFfs z1&8jA(|DB**IsuR46pFdfn|g?*h5zzc2-^z*YpOxdi}erYtXSGAN&^18qIch z0aUKPepiit47Tabc!}$WGiJ$j4=Z@+_47<=et!hN=oisT?=H;a1I8fQmhhwcN#O&(y@4m8x5m^vrS|IV{@dL9 zmxTw(fVE?+5#GbCvT3`iTUpzgpc^!=wEPiY{s`spYg+y#Uykk=h9A@N$9(x?lnaK? z|5ttaS1E_?Y55br{0YjLUt0c6U;a%8>)}3sW*xhMOxqdRRM+6E)Hru%x<)<={)hC4 z=^AhncuwW^o-Li1N9MGT)btO33m+rQPiJcr;X-$if{V0Fcu*O5NXvu+m4Sn_O!HS6 z^H0k(ca<^sv`q6>8S_rdG-s7D=KzOvf&I<+(ku2i_0aEpa^#A#SPvQRsZ6|jRztTK zjiJBYt1_bz3mQJkP9LjID)T`Hi)YjqaB8o+;ZXNo@OR+p;j+i$cd!@X-qxNnvCHx7 zrz{VA7QgcWe2<;@x`WWf&Z6Oa>itAJ@ICJh z4COVIYi|YP+IuhfZTBeI{M`K?Va&%F(_jP-dKaeN@w;AoLco`3qq5P<92^F(^o57l z?#H;yk41eu&&qGzk<#VHnu(1!yl4B;9MK^T2T`APH$v2BjlZ$A)N6*j57>T)?rXsl z_}dB02Z32Q5E;_IVNhb+4-Kl`(oj1N}V;tv&wi{Sg7*FQjguRp@W@a@xStg1vSzZ7=t@ zf`c6tiOSmX{{xIAUX=`-R&udiZ9g$o z2WK~t>(6j^vfh^}-tG`@i&yoY6?he&5ZXDs8tveZ8ZtWwKc%vHe}n&S@bDPEk;@ck z5kKh+=r*2l-w^V8HS&5DI^rsH#D=jyh4y~}ET3h}819w8{Sso(6~KJjEaor=9ilnR zV-9DO2A=LI4ZL+)vSkh9n?9hQ?ew>UzW()??D^!z`&ji3FyRLO#_oUEx7_x2)em5s z;xozYiK-u-i`>lSGZVac-qT%RMt{nUHsnM`=eN>(bg8?aG0;-6^$%vltI+ns+g8|p zb-KUNbjVy+H_%*rz>MCEA$m`G?2yx20qyCd3;k31&h@)S`K__MoV>&OW^TFzVstM2 zCLYiniIsH^PJl~r*gU9XyukB{KOYr%*6JvCFf)?hxzzKrt@F{LzkshWH_nmF*Pi^w z8Te^W9J~^kHg=P{fJT=?qs!O}a0xUbUO7Ol@-*?uGv|`yI6J8yT%FWY+j0qXx|ol2 z9eORcD~HeE_bNUs_$=qMln>{&4lm#XJ@e>{4yqr#yt{r;$97N zaE`8a^`!e!`HN)K&Wm~ewRutB=!xGQ+8SMn*@B+4d%GEP6gUp9OY1wnWKI>0y^7~& z^E~uNeVs8AosHJg`?7(|^}h!_K^q$j-5AFD57YkUVs0JV&KuUeV_0U^G)HX7$(%o_HXyf#`L1ER5z?+9%i$dM?|mZiyoQ_c#}>K z@@I31@g{z>-x<8YpQCF7QbA zsgL;)ttpFa{)$+JtD>8DA@nhyKIZ#A9&O-E{X%zgv=J}-Z}#3j&d#dJ^L|baF{ct@ z2q7I}E|nt2REaU9LkuxMDi(AKknu{RjWNVXPvN!G)4swWJ;BnUXr#@fIH-sQFGB^} z?l`SuYSb1cZByzv256<7*6FI?g0dp~=7TWLA!DlT$#L8IK5%0+!_dfw~NPahMtId%p0<}~URGUvFt%&jl+ zj$}@N=`Jco5&xIL(&5)cQRnN##+!p zG#O)zd@OwYy}ZM5dKnKSdb}&r%Fv!YoJzfFeGS%c9xxBm82?fgBT2O=+` z;~e96_*=HMu)m28>4JC0s^SUeCh$ZrJkqr|lpWgvzoCN?fEjgsxs2}PRm@EJHt#VxXZ+M>jh|>pUf~<1a27Rmft}qh{3}UY%so?lYHACe zV!FU#f_Hrh^iv*oYf>KeOnq=(@NxSS*Hf}}&`CU0Ulhm3X#ubHMPB{yf-jpg1^)XK zO96lJ<7M!I{HM#Lx1h(^f^5jfo4T4W*m!H4R_*J#rd@@QAvk6W znfFE=`2@KBg!JogeBMFPRCW-ZY-PYi(2HPvWoCui@FwvnT43 z9^~*E##s7Cde7&~(B1S;Pv8yB0b9wi@l2v~%%-^fCNk*f`~UBd!-5a#i|Kj#_VuXe zm6!78J7c{rL*;kl#do_rI;)dd}LOII)Oz3R_niWi9E*BH}~~h}$g*GMvVB zbjAlfB)!Hn3pSK;Mr-7L4E}O{8uaZ#%p5tVE0gitqI-DZzz3yLui{oxM3x_x^c3%U1mfsWG8Xub%`dKb( z_E@mUPjOb=p9?R12KgfB&T;LTG@Y!N5A+_J1-)DkLno(AopkFn<;_;Lz@@3J1;95y zAkg0XFfABPzloyU#pD5GwPk#w|7Cv|!=O(ude&`5@LjxbK|}pKcyDjPq~DNUw4JuKHo)f(`DBe58Jx+$?OHBfkyaouhI1 znfgZF>^&cS`E#>yR1i! z{~O+YPYO8L9(bQy8A94GuRA)PNmz3Ec2_sAN6I#2+)Z+BnLe|c%bg{90QXbCg;%s6a9rbqY}nb4 zwwG4CedG1VVw&y$(c02c($%j{_8K(LQ8E@ zY3l?$W&NS7=-R43@JPTn>CdBo)#y*J@1=3xWL%3r#=h7X(T2vz&h(7wvU{DxHk^hT zHuyGROD=BZ>2zs}bg4@QVqM|-ou@#bzx|g}qmR}CPDY#F7GwRMgf_#`jzpa88<_GK zOYi=&WBlb)=>vM|srKQTsrtb93<9@hA4u0YN;fv~X-Rj=zlh`A%%AA1TJ$IQmI4{y z6L@k?8;B%ley2r;K(;oir@n7&1-HGFlOTX<0rff|u(ShU#djn4L zZH4<7^_p}t`0MTobRDwHkG(*&e>nS0*l%Qe^0a4!pVDXSS33KQ9$^27_OK|A{VCd; zQaR(=3uE7Mu#ahf58t&U_o`rj<-d>DZp3!ugEH>B zYg#Y76`SE>FF(}h+s}+TN@=SohyCv(?cYjoh}O%xCv@M3{a?slA@&H`f9@#}4egHN z4O>IZNq#H!i*|xfVrj#!>y+kgGpBkv?G$|R`N$WHz3$r(?8=(%iMPX7mF{cdiMY3j zy-wOcCZ4H$_L7OWdOrN3y+?-Mnrvb-u(kh8W2AH|KSUe+AEmxOkMO^v#(5Ru!J99c z*jn4Uyn4p#mUo=JOJ{aW{E*+fYS%4)QSJ51UqqV9rtNf?>~23^q0WlhwaW$XaegnV z?J}6v2QQg;oz;2Wa`q1#KZpM*++7iFMmoNV^{v47%a=@S^!~ATO82~oUV3^zr4#H9 zX2#2S{;Twn{_8Fe$tB-DYYt^&$-bLAy`I?bm8~o|BJS*zW7>qx+Hv^!F&63-;ChL{9<2b2YJ<{$BQF2HjNVFNH^S`@vd_`#7Ger@g{^9nW>(S-q$EyE5j7_z(6C znc|Z6AAIfp52bhTf2F=X<37IC-QkWO;kvEib2jCPpI63mjJeu>YwUySk8QNL&h85L z99o|r;%*g}HS$dMH)rf;3+;_<-edQ&OQ%|W-e<6Xw}S3G=K}FH-=@)?$|=2rwDev2 zSvXt?4%$;^_GmM{rrJ`h1Y6XGFFCfF{bjCigeUN{PxxN&Fg&j&4nP^Jzq)$}d;bE5 z1 zrfA@Gl&<~T>YLG&vQ?wquH{ZIwe3HZ6~EcO+Xzc(8Uv#ZeCa%=bnWvj_M`G&aJ2tY zI25oXza^fxx^u$)R%$P!jBKvepA+g!E=FnN2tU_r`}&t4E7t^hl`aw71SjRmK5Ji~ z!KIAe4K6y`>r0lDh7LMDant4dPaJCO(=Fyk*g3Ot)$nv1$9&Y*v5GYad|=xPH#hRx zWAINc*e>ZJ=>)|FQk@|i7*ZlpI~o^l1X=!=oi%&+_$8Pj` zs4-?rb2xgk=lQtwmfbf@UMBxZeg}C+%=f?s(7xcQjaqpuuEqvbvNJUY?W$zNR6h1w zmCEbDQE&sU=EF$eq5lj<)Y2(O>TeAc*viWpJ%#2Fk{?9cqy;4Nq5R@KRyagHQpcpME39} z9?u>=rwx4Zhb5oplg`hu9j|G;FN|{y@yX)&A3xCG$QObKL%oo81o*OH;?a~ZWsBvD zn=NMk@}DIKlyx|Ukoaj`7bygvG%Vuy|ID2IEs0YQ6t99u2R^rd zf2Y34r&XU%1-|!R&*^lkeQyO0g}$AnQ=9Ld^t zj7zW23-H6-)=DqCzIFfI_1a3lud#hK#5`q(>#7%Rj``=wyVF%;ZRH{!#xvpzc)bjN z4)ATwUvLuNWh?Sg!5*b>gl7S}L_>{1Q~WE9Gqj#(XRuzz>#B<9Vr{sdduSuP^(L ziYHFVH@{?m>q&fAK9}R8F>qWzFdeQZ@pTJZS@sdIZ)N_uiFV#jyQYhiF*1I>uQ9JL z=U2{nlgWK8yJ2~~JsZ+mW6LtKJ+X}Xr+o^8)pm>NxEvJnvkhJD@+I4l_-1aSY(7!S zOYKyXjc|KKKL#VsrSFpY-vOIfCi6elw=t-4t_Nj5z6*QbpFRAXS=f7gJJSa(;3`k? zuQ;y^aCujsN2>C5mWTL3^c#&pDFxPlM&ISB-c&; zCOochOh*;lVZGevM$A*kZT+0_AKTbG4>ev=?1!;Xp824XX{EtmN=xTb!#;k>r+>;% z=Tatr$^*{;uj}|Fk$0pojPD+T@8X^nmCqg^eu{r0npG&1xlf|9WUD7xC{EF>bK4WKeN&05{&yw=cVsCf!A6n5u z{8D^dTGC079E!1<$Jl9pJ^Bp04_3N1(|S!68^>ObHpQB%ZTHu1?tcG_pWXau zg?SC<5f5oSnzI$h-}EqNA+a8!^UkgA%1LT()iMc78K03w~KXb=fN@E16q} zF4FU{_Td3B7>yBw?B`knYb&`baSkg|F{$g`~1#q;9t`jYT0XeYkc*obz_ zFEr9X#``Vi-PFdCuvdfqNzgy+CBsMZb?hMD-o9YMcLo!@w3np`W{QjCBdrG?ovfbr z36$w>?`o5_ihiZApoQb0H8stlL=PKZVoo-`Po-}OT%*^i_N`nG+bDdd?HhGk_AQ}r zxo^(DHOW5wd?hipLZ|e|&pD0n)hoID<5oJQh?Pwt7Z%G*=+>FWG9ypUer7Uvufp^4 zf6>8ZS+Vmhkz3}oLq~eD{PC4pexBrB{1joyzDQPVJry17YpKR>(4oxlT6$l1`jQ>{dKxOcFM6*>w&rXLYdEbzi@)#&{YqZOqPX9y42SmAsyt&@{@9#>{LMV=kOh z{_$}X9jyP!m>NutX$zPdC;dbR$%5z-#;Wik{+dw>#$VU7!PV+n`9iEw2z_K zBXEi`ZoERw&1lr~+Q2J|f$95(<6cP{m#z?#6aIw_!@sDn)VJ@9yKLRcU=Ig%E{o5Z z6T4X4LmkUD*~K}~UVWEcL}%H5*+t~u{@=)d{1%J-F%KVb-%fiu=7+U=+Vwq4L$$>r zZJ0EzFN>E)SE6IkGpuh9J%o?pYs_i-Zg^Y1V7dJBSp(78O!_&!jHjUAXHO#knoH_F z3Y}*tT~P2Be5ZHmIg8mRI#YhE=&1RLuZ;~y|H9Md6Kmcz6%6THl@Y#@FX;@kne#(? zsV|?c!-rM8ycYan_q$cTLY~K)dcM^h$CLcYhK1*3AH3#!rGO)R9G=B;N_9PsZ~6|H zx;NC}dR|j~_)cw`EXY^d)X<-GpYP$*@1q>+o5$w-;>2Al+cYOSBwhUs_6P)fsIl7D zuesXt;~!^_z~f887^P!oG(^6AJ*c27a$BUKi(PN3uNnuvYc6AbiD{ZQa#lr%?=jcV zIB6}`>HXvX-b`<=EB{h`56{Nf*%~#lwbwxTYE%0hMk)Ud&QmLJ!j^gZ6L!v8a$aFc ze;EHVXXpMHi_aIdkiL|imY?9dQoLLZ>ucuIO7|&^JrQOT7D!)2p4UE!gy%EtwZTI_ zh>p^S7F&camd<=r={Db#%%fX+W6ap{ZwvXp#%O6#w#4i9j;<9h4%^c1i1p%J&U7+k zIksSr>Fc;3Yj1~Q&e4aoGUo4wGO2D(+eu>^(nZFrqFI7R(H_2DVIQJhRC#?9Vz!ud z#CgZrC#(9guVynuWBKzu<%Cr{$-d4$; zY{|bevmZ%{|ovzm5E#b>Ho+?!7o$F#HsANz(67>!y22dvs2&N25u^2pI|Ls z>(E*=?l}EL?KV$fjrij+J&Q561FZs># zN7e4fZH=3CXZgwUfelXFUz7L}-mdLaO4{W9+6m#PHNa0$H+?!j@)MrwI`hO$$r^L> zz8&TY?cl$hy+6zKjacyK&t@E|^rafdU?Q2v`P#nc{qT~BpME3w`8FP-lvRD`%h_$m zZ4AF3((vQM8L7}$>r;oRXZhc~WMT#Tx1FX(pz93QNJDIh{Y&tc#?Ih>TjS08yUF`c>c3f$Kb=uD;ci#WC z{IoNA+POD@GVBH8zvQVX^Ha*a^g2sd8Nu4s`TFJA1-q7yAYVnfG0L5>y8%nprBJPD6;58lL&;qy;*Z)@Lm_NDEi-DSr=p}i60{UDZk#u+=8f2#J| z%YUS@JYRIyCG8pV#aV#RUwfL70m*(P%yT6}O}yC8n%-L0^seUnyww?dZurKxoq5?> z=I!6Td}3s^#u)mMr?lESY~j_cNwg*L**P)xg1)mDSct>0t`yVP5PMn6H^b{=>}x%- z^R>iX(mm6}pn8+}&Di=73mR4X(mSkMDo$ndAL3TTGQyr|U|9?c*tTa{?=c4I@s4^@ z#`a97?K1}~mD^p9cv@Sb?rz)9jxXSN$#2p6W9mmM&+Iw=h4Rup(^@~WIaI8typR@r znF7|p*7iDk(59ETjUwMn8!G2jGD^D_KLIrs>%KY)&TVlx6XCE_G{=- z#mIm;D!DC1X@~xUK5VY1G>) zUCz7Fn{T?Otw#*c+xxS(QIB`4M;x!H7stOd##1d$N$f%82Kip2yq9{|_wUjNv)PI( zB;Q|X?}qxPZ#^uQcr*M9kFUU<&RCW$_+#*Q*db25{GiUH)xLGrW1pbqJ3Uo)(s!Aq zIj3SA<+WO^t9*rcp~X|@Hr7`&)@Cbw@2l_3p7V9qW8pEg>$eemQlCm?mr=&@?}+)t zVTHHTrHlV2oA)*Lgc_V!PH`FS^>f%Jf265j_T4n=#g5YqZ!2%$V(rWnzqQTr^<|a6 zg>UTs7yM|r4N;z$a;?NWN<+sCNsd)caSZs@zMG!SzFXZRrf)DV*WTOtw>?W`g%>{e z(4c5H6-@ZHfXRG#T9^rsPYV;CE?_cOnHFZk|I@;R-wT*SCxMyBhG6ca?@f0Nmw3+N zbnDwMQ2bK-m&WPzUc~5H__dOe!S#Q0K}~z&(W#w@E_XkWInd#5#iNOn*`7Ap3F7iz zXE4ek@mBlB!sdpnuqjo}q=l!o5B~BSvOC9Eo3r(!GdY9i*`0S+W(FH&^Qyvc?mB*k z#+^2@h3HA1@_Xe!4Cs51o56$s`fg1&vRqd@qhAxf*vB(*Q)T}I>x}3f;V{1E&!mI8 z$G1HrJpb@_w0|JE+oIXmEA|t%{;m;O?YKDCw`CUNt~XO4#g)wa&Wev^RK-=swlVgyypaYj4)cH*2d(4e>&>uRVcWiCedS40a zHny*10pDm3qsO$?f-N-|^BXW+XZW6!Z*YsYOko~LDPOAdusYOC z#ug{0{!;D-v$~Q`?U!fGY}jR5FqIzH&AgvQd99tH1B$hq*p}q3Sl0ud*AotH5w`*H zQas;&`Sn8)>VGGKd_vqxr4?_^GfT3 zuc_Ud*hh2|{W1Tj9`SQpmiu920nIfQD{g$larqGU@NIs<6VSuHGm8DT@78@T^I$c<)@CaRx~`$8O%IqC4SIo96o0?#4jh7+xKV!a9`VgOUk+C-58BIC5^= zoqBF%eOFJ;&CZ!C?CyQfj|0&T<-DGuObx+iVx-`^W>bv_#b=O+7BRa|S< z{)s~;+uMVkGTX#@w0PBMg?>TLqo-~+er@Cb+^>BYpB&mU|C9~cnVoch$-ta|xA7tK ze)BO+PMi01s7?7J)^E|-&$sdQJf*dv=lhqj=D0n`Wn_5HLp ztD)=9?b4H^j%Vaorkx6pwS1 zZG_?{MyH*W>mkl;F&)yg5@gj|Ko~F9#UY32X zH+tfJpPsniC-E(s_GZbq=z%t=Z-L)uJ{CTh^$8l+o&V+Ey}C38@b$3obNOXyE_m2! z?ZZj=Vvel=+t}Q$HQ-Yn6Zt(UZA2fV5p*yg2D)g!kJ;ohjS}738F|jym2MS{Qr(KL zSl6D-t&?dn=(JFN?3?uNFT;zHaqY93uHUk8#v^7=?>RVwGnMUKvJ1~tStI#%?saHI zgG10@;-+o;PgLVK%>B|6ZTP{Qi_jnRYOA?w!-r+wioa!aWbB*|t&htZHfnIC`%CDT z4FRv&&u9^6>T2lPzNk}~`as9D7ajYT1(|=Wu_vvfZxO4&R-gMBqttIgmc+;S zz04D1U3j%K>Z3t;!th0>m@h_NZ(NTuI*OMVchOnrF<9EnMw-dSw#5HHC(6h6I+J4j zNuKPnXeJw>IGn~i#ixSbs&CoXGk%IWw#qjdZR?(RuF4Q|w7#xt&~Y%@i;xoy?75%->@^Hipny_!Ka7#>y<>Laku%&9Co2Y6YVSPMkXqM>ugjkOgcDV`jQn z?Zh!pacP1Rzwd0sbrKuJILSuMKJO16;rzCrx6S=JdVRL(b=xxs-A~qzosSXw+&4G! ztj1Ha1z)AUs^i*=ovwc@+oYIKU;JO-+(GQ>?rc*bkH8QgDSoeS*JLwnE-arro@X=c zF*!i?l3!@Q*#P$pEWaN9XPUw==>uT}Jz=v+r-2gUHU}iwYOh zCu5fmfrHIQ>Lr{%erWr_Yd#u%#zU_u=Ao+VztsNy4QF8Pquj(zm+epQQEU2+s~YrM z5eq?2xL#AtL+4Tn=l9_sT6*H!I<1s1UapL0`Fnl~`J;}}R%3NlUh&{N2R@hjzwU%$}s3)SBH!ACI)tIK;W!OPoGxlw%BS6!3fBpqll ziK#Iz&Sxsiw;zvu2e{hzXgHn(2iC{OzfO6ly|qW$#>W{~wbQD8Tw6R!xzK<0Z}#n? zgVA@*E5rDMTd(g8Okv@B89nZ6@RZt`JwL*;eBd!(aJ-h%AK|w42XTIq@YrC&WBWcB z`cmM<8IqImLKd99R;~+tRIaPho_qn>5_n!QBz*8G?vw3r53!$~_Fyx6b`X!?4yeTU zD0Cd@;k$SC6qS4r^-XP7u#0-msBo76&uYhv{7W;Vya2nVJKN+3Rd`0@|_fWfXHWU7_@w+wQjiuIFWsB_HzZAHs&a<~8 zb)NU}QCYPe_#IuWIfL5#6~HsT?aA^{_;}u^k?J9Jn`4i}G@U*#qDlendc?e{(GiU;uDWo2Y- z!_V)FvhfW3D#OFum}}#6yR{d`yuJneUx6;a4qLT3vu_SY)`LH3wKY)(GS0pJeb5&0 zy&8Piu!o&8SFE{ZXxceh5AZ2pqdfQ5QSX+arukS8ZOf+8rurh^q5l4;hu_b7j@nA( ziZu?Sjlo<6%=feAnab4?+QUzm&t88o^MC$lmrkb5e(6f}5q=zdZ}Pp@wnRUb^34~- z=G(Wbr9Alp!e6#mKY9%g@$)!g$%XgfhX>Q{?pCL)A6TldF(Y8AK3_>GanZo zTE7}yFFYD)j!(v1U4FEW>Bza+#3+8T&dspB3dr3ka$xygAx&|zk#q5hV)~3Vg3I?} zYe<(*jX$k*h9ZAm%wHGtz21hHz9F{1iMrHxAG(RAPNX@iYDZQ1|#e{x`3$l;V8YuaC2a z^$Bd!4;BQUL2(kZCFm#Z|8AQ1VKdAZ!Dpu2kgZ`w-yWI-9l(BrTG^jo0G|48s*(lY z7Cqo)oK~_CTC?IT#=-{zk5KN`MtslGI+}f2*~Z(D?-lwEhBh=#vS*q*baGbvO5P1u z*_~O8kLyi`ue7M21>F)`almF~Gc}jM*I9O%jiq8;0f)qgD)}q^O~w)U;cUTESNTlE*w$mbMr)MfDUFT(n@)WQ-_LP{=CTdO6L&Rqz4OF>=DcNn zv+CoiJ``{myMb14Zf%UI>Zaqcj{1gYTzhevrFg2&KpeYgtGwYK>`1XLGgaI4!TG6- zx3wGRalH|5@2BXfb*42>;PdN0`q2C8^wWD7!^9uz7az?e#zZU{U-Mq}Z|DpJ`CHg# z`_8V`fjn!kMjDUwvD?nrt!C_2H~47KX$l@X14Q4>2&YOLdhP=Boc_aK(%U+}Px}w; zTOE9+vDKwLPv|YHukVIr+o{{d`f0kK-@ZEpu5h;fJF-34&$@Kn8t~&;f&cWJL0^!G ziI1|U#mZN%2!0qkUF%N5C(upj2`1kkR%bjsf^Rjt8JgfTu}{gKg??Snobl=`+{dsZ z`a3)DcQ%5r$yod@dqI>j(nZ&?9rPuoE3#vH1o{}S!zX=Fzr06uiu`VOiL5u?A0N9W z_&eqsC~YQiJq`ORyJ)bsHF!&D?tc_^4VtO%qR)W74fORlc+zorqw*czLyfgZ?Ozja zmATQD(N?GP0qKetTmGuR1B#95til2oR+=rw z5AfK|r2Z3EvHmme)_>lc?E23Ynskn!Pd#YR9Q=h zPwku)(uM07cErzpDC8~9#p+H!cz+Chx+=mc%qeQ6Jm@oCzXn+Fpy2Aq{3iGt@Z)y; zjghOlGoeLnxkikxlNgx$=6~3c$m1&lk8?L|n4@lx{vZyV z#+cn#Xc1%nd*P1GgpXN^Tvn|2cE)>x6c>#1S!=UZ4EhK#Y|RXs?XM>B;wp1i zGvc>N{2@QG8~&LU`Gfb={~DM=KK`6`6(bh@rtieR@b;jOm-@BJ#>M=JdX((~hsUr< zzCWi72RSJ2)pa;-yZs!Nq%Q-}uQD6azx|-u0c5J5HE@d^pnvugJ52RY#pN^V4fm&= z&wFD(B)6W|#P74%a{>(}_M~);TR(A`Z@wtVL8=#8 z<+p+x{Js73;{< z(LCMw)OGf(hCfv7rJ$VR?C7cSt`7KCGQOyx?;O`o^p9e`zTe0Dm&Sqru~i)Sko=G2 zyIy<{jfd-=^7?n!v$g$LLZ90;K9QfnFZk&^V}J2sp`(u*`xM9Lxo%h!(yg!j-`~Ie z*!}2-EBOCh)}b$F9h$o}pRjSJp8BLQPTGD#cPI_I|4*L$Z^fZ3UZr+F)GnY@ZgY*4LWLUN$|(+wlOwPcRmw7@~89!hMh}e|ASv7Jt-Uv4tm$%;4_&Ib5|p7ZuR9$MK~HC{ft+j zRY>oi_ys%@_|E$l=7Pw6@Gqe6ev4%%^NK@SyN+l2%coGhfLMW_tq|n6vG-N`FN<^c z%drE=cNO0FJbXr8y6#uVd4JsdQXx(N&uG5*7xcyIEe`dh@7&JAUy=8Ko8+6#Ulh;8 zRhvnk#{_N7jPuJ4HZpGK6Lo|!Z%SL$7z1zDecYyUC#h>V5d+kE&@WSOB#9eptz5CH zbj`AUdY}Q{s#yHw$~Q|lEM z9a>uWYkh_Pam{h}$EDl#y^G1j>IiEcu-Jpw^sNgvQntnBZ#-@O#?$6+_&Cr1UDndT zZ}i;mi2df7XxqJt9MRR%hQn7(z9V65dTEx zYL{`R&6e=rVw~^JCTu?*JR)3Frv26I$K;vatoPRd1DzXvW48y=*E%myb#MGYTxS&g zt-#+L+tR*9`9}E6JcI6|OdIL-&1MhhsI2(I>~9i#jK0heb5LN!IbK}1QQM#T@rk?i z{4-)toO{fgCHpJczw`6|#8}YRdXMUbwufWeDsQ@FA!F2Idh*~C*qNH{VO!L&v7^|P zPlA)|_+U@muie9baoR}Fbn`uv-y ze#xrZLcYm&9n_nQ)%AQUx#A*Z8$J=9f5BO&Bf!*{NjE9&!6Z%ZoLO`12>tn;a9&cN zZJcNLxXSPCf>&&8g;Vr1egl{%&Sm`8#_?lZTql}eMV{JLJD=yAbsxK_%KS-!L#r}% z?#MMhnbp8y74VzzL}tKqj^svbZcTYt#y;TJbvj+E=Kl|kZHc@KY^SO4z7@Ph^EQ)3 zD`T+LuR<0WSMdnr9oB6Ue(r1H0c0-W=R4SQJUkcw6B!V!lksq8Tw5?co$GuW`F4JI zci+&;(3W_)DGlFmD*k>P{&xOU{cJbp(-r#F#o4H}>vc~zvV;zh zZzBECwAQo)-$A}k2R8{`4k-@m<(CXeuUF6K< zK=A|W4a9nu7QfG^yMHcu@$~^ea}heqe-*Cgzs7TsYQ>&b^1;`2`=IlJX!+H5J~GB! z2Apr#d{R0t>!?7(*Bp~y^y&9zcOI=~_iL?3_>Lj(&t*Q|IaBknJujcJV$UP}_&~cp zSIbAf$T|>nKYcH$v0zW*?O%FNuo>Q0$GxBpxa+%-qu@R)yTD#E&HKbFo?egX1)m>k zKd5uT^sf68(GB)L)wlidWAojLQ+!t-{*s*)Ew;Y%5u*e2IMTzn0o5$*(ZF6lzKe4y zXKBp~{*^v$%O*766Q6Zm2Uqa{VdfJ2RJt?PMTa9y| zyMq`o_xXkM3t_j>&dtJTCo zXe;%f`dm-7!a?xRpYVH#S-WkOJZb*B+ULG4@TV@mpvfb1w<-5J*Xh6L-jW91ejLC0 z(`kQ-ebU~(aNyg`f>-KiMf)JS$kv=&vNgyY>m26ynSLi<`n|p*+hqKT?Qp(xAGN-N zy}P16<90t|J%@FX7;C(}OEw_JSO?=ci-$ahW%!Ao1vkp;U`mgOqxrj2jAdnRlriks zN!yUUTaDg|b9w1ir^8ciV~NJO1gB5u-)IkpVqM6v`)^N|Rz@$ysl>bVw>R~DTgeUd zw;18)v3HE6eZ%SWjqmMb+X6XakSp{5Z(i9^@FB>ny<9$(X zwN_?$C|&_x=FdwGq_YcN176G*p2fWf;N-lZm{$s?e7;tiCm1!|Q?aeFwqDNnxTE=c z&?0T$V~aWyNIWb1Z!vAfo4~_iyRB84!J8M?Q+b!4Cfq|T=9hpmCxO9#!BE^rwnMhY z{fAogp{K=%IG*`l!iWC`iVOD`L{OLQh|-+ZcIV zvLu;dJcnD1r^ef0NrvFx^0=w3`ue8;3*Ikab%wJ=1wo$#+2q^%j^8pcKap>E*tE$#?=8()>&Q zkI54AGUvziTlU{6^JBm4SmRsBQ?g^?krrq5KN@8>V}GuV{ieVZeL6RRbpq2L_ciOq za#@X;Vs5IFQOCz{1bygsrm_LJe&+w`Y(ny(ID*MDF@myu490s)jJJqkj;#&0%*Ow& zhD>}c%ETxzbcdVvVYqC(AdwBPZ?;Ib19+|X&B6bX22;t2eQO!zMC%cflW-q4|2Zo= z#aVXMXu0*$#(9S5zJX}(RNwk^b?ZAkji%JKH4Kemq=nhV*sf@JFL10~VrA-EOBs!M zQ_5(P?=n@`yCknkzDoA4=+Cys{yL+PWHic`-d(;l?+@!S@JH0k)53^yWiU!|)ym#Y z3#%IJox$S2=x8xOw|C;pX=K#mUGnMRCg1cOn!J}|I$yKCBpW}eOcZOB_{iWk zs~7(Y*^`_Z4<)wZH|dMTuojkNhjHnQcDJ0Lj(It6x-l=>PsUtn2G4aW@6(O>v@qhB zt4vv!wi@$kVZ|{wSWk1z@3JvZ&Y*8G=IQ>OA~vG+G4Yt@2iQ;JG3mp3?3rC0zU^Ev zYTuy}qfO!^$XZu2M;P$$#H-9h@xAsle=dBlL`VKBc){jd`1UGO$bZ5wm#Pf#HP=v? zrWo=Z<{HGcYRomXztH|O*U&fX23NjEe}G%O_uNyQ_Z|ESVBgVbKgGv%nfwoIxSg#@ z>`#7)@iaVDi~O4A8E-Lu`lcpLA4$g4Wy5^o3NYh5!uel3VB;Vk=1_=7iT({6ygjUk zF$OxfqG{hvtFbn{0nC1U@3^jS=b9;<_AOm!Dw^J2ZfmthQ{W2^Xm9kj|BEAi4;c=- z^*v0V$H9Sbad75<8SxedK@)h(CKYZNd-@Aw}?0RWizT!U<|7H%UwI9O` zSjYc;cIOJ?g=yL)-rUr#d`-qbwWm|I+dDg-p>`E_Pul&Tv|G@#kRH9?R|#V zQhuGX?e01Gm z_*8nHgFm5r$Vc&|^}dC5Y&}rQ=AJeO0jBeY)(WgX{)qZ!y5lcLf1mLe=#s@s! z&bX*!0Js_Md zFttq*U-);_1wU&&iS)28seSFs4jNDQN88gMWA*4Hk9YN+neb*8V}bnpdStK*z>_U0 z$z~l}QrH>tim^!Ioqcia-bR1i?kKM1c1Qk}#|8!8V$AI^|3+e9*wI>Co2*AztOXTk z$8{2?+TuLXVlI#^madMr5ctLu8ZTr`>@B*`YVOsqF)aG>@uvhtiw`Uz%v?oTj)y1 z)$tRqy(Jpi-Q(I55qaTM$4GsZ{OCEt{L9a|u92`eg9-RO$$$Mm$B+E~fAMnO`K#k) zjkS0gy*Y^|rWhw5e@JIEepszX z<>K4e{`ON^^LIZ&YxWvbt=r3&O6Rb(#fcvg*K1Q>zRsF*U2Be7=UR=8*MF^Zt&Bc^ zZ13v0&gHgvWzg@w|Jm)YuOspuhStl%+S8)OJ`_uf>*~mK+!q?oiPidNA9}>ki8Va% zH7IBM0D3*1*RQ!0c2jF1)WLT+Xg;gbq;Epn@jpy#v(n@j7>(3F!S!{~V$RoqX>(&Qsm@R5A})ECEH^*nD%|AjR(eJds2 zva-|pI+T^KBU#dZM16mDs`aF+6?0WR(Q0IizTvIp4^(%2=R}X3dFTVhx3oq*@8oOL;{EJi);X%so>)RyYYTI8lMDY=9QwOI z5_qNkpw7^+Z<+Z!@)9g)AjJ;Qi5o=@Be;X zu+*OPJ#$*)Y4L=3HI9SZ2&3h0=pSw8p!-3|dMbIQ?*-HL)zXJf#!vQl(Nt}<#kLg3 zD#Jt;ri1C@;ritGTmNjo-@9<)P{+dq>=_n6sDIkqXmiwaq48SME@N!a$u{rO_nh!l z-SH8GSatAV%|Wt8-5rNdvvc+e+kY5D1x)fH#v>`ABJVelD^`^wvP zH1^llqb@37zUlP*uM?QPuB+e!*_{;T7ab%g6-}52}7;He-pM)&F}ddHoad|JGVwzb_k4+b}trR~a9jQ$bg49k0&{&)Qbb zimb-}Iv@W8d`rIWDXIT+_+RM2U&Qx!$Gz}>AItJxMg8yah30GxJoTQ_^ZE3l&KTAo z%ElRUlL4po@G5A%a>mf#J`=y@m&@oE^@N*80c`scY@ritdSgAlOsYQT#}<(3!}=kN>102X(bC-w=GhuQ3dG9_aYs z>G}65SKys(%D)@m1+NcYug#xpaP9vx{?E+D`Mo}ZkX@1b5x`piTZ#eJc*xMp7$eLA3n=#!pt^cDE^E6`yK8z6`pO}3Sf`xmYGp5cX1+!^ zJ%urEkMLWK`$tOSeimg58F~GtT(~)2V|PaxXvoRl+U{iRFPqnplimDBPT$*7aTo}`bNM9WPf1Cfy;{S2}cf@|b{+apT{qf0ps2=x1oiYzGmVGi2 znVNfuC+BxhXiR*~(B<|t&&S_tm0$IIe7{!tGh)7-d#1avc!!pIE4m*GpE`Sh_M?ud zIIM-hBJCOI4LxV^{EOPZrtWWBS*6?ms8431PflacYISZlF=IaSq=nf;wwQIsvOFw3 zBY!PpVDhki8hKb3@d;h`PVhh2slBzi$XSrTAagGgfVk(Me=(@2)*(=C^zXnWGJ(Uz`VaImNt|QLMkw|r9``d$^sU{uD#Urn6aRnfmZ3Su z|KZM?y7)h-=RQLH3)%Qn;W_tx&xMbk3m-|=OS*dRu4kW>|NS4qH(!9}=3^muvl?@K z<5^@x{FqhH_04|D-d(?QR{l8kFBcyP#-?A1zTdlR-&y%LfxBLC8As0M9v6JsPsLnK zX5zlDk=wHg&l|Zl{+F(JfBcUhsC?Png^b~mTe~M7zn%Q|lBTm--Ve;$&US}swp4AY zo@^%j&dg>iP4=0z(`+x=>z9izW7rP)+g0r24D4eC`_Pp7ISW5k;uZ=xJx`qFXATRol~%-hI3*|e?q+`dxP$eaU|BnBH_o<>Sy=^h)!H=i9lgWSU6kJf{+z!T?74iXRiO{a^CbS$w+zzv>0EU%>VZ-BL0aJAHl+hwumXK& zHl=J6Ub!fLEx61DmjV{!P@#@u5|eQMqec14DKEO{SJokkPrkR~CyVm8`#AlQy5#z# zjnt=JP|_tkC|Br`^Iw=>6W_&4;@{fnTJ!bozhXV`Rv*5Q#d_SIej9UfbcyMS+S&Q# z!WsF=9z=c~g>H&NP7?zfOk*7KGv!B=Vn8;xz>lbZOFEiy|5n4Fs`>dMq-B*x9HcMm zh)XE1SjWht=zGdkC}VO&9}6C9p4aW&^})0A`u+4n?XV7<@=mAQ5b?}OY?j+AvsHh2 zcK#?ZlX+U^4Gy9aK11aylQd&0o4)T zC3N~`iB9i{blHmBbewllJ`mpvI$e35$&%6Or-4rPf8n!iZW`#lIRCfQYe}a_pBHl&{MrH6NgAV)&+E81jcxROoA~_2OY*^;M_ch}A2(vf63tK*zuVJX4qLtP*l-`O~=o`s_(`u_^1X_J1w)a%%Z7|-oB>&?Q z&Sg2hG4h?2N1uJ1@}dRrhdU0uF#l+LFXS}x9sPZ>_L(KdcUBj^dp~7c%H}Hi?=k!M zT~#rskv-!cAfMyb=0mR-3#i3$6F$?G7jB)EEX?u0wT}@v`+6l_)~P_pGuAr-%Mi^eZC(_Z@J#5 zUz6sV)Xi95fENxI^GfvSu3tC!im7#(>+^LA^L1bA6Z2 z!7L`(xh#Jvbht9=*VIl7yN-`I)-(?Thfc>KrWbLIr-{e&!Q;8YBf_; zU61swKSm!lmyWd2{HN8Nx#sEe&sxl-6;oEa^PJ6@5?|bC^_pe*OmLK3m_7hc+r#@P zxS_Mq7rX1XqT8H4kAj%lyD}|3e9%D1Jc9F731Y{#G=yKHV4n3feFp!k)CjLr$9~ph+4d&zRerT;91X z|J(brJ9URjJ;G?iFR`&Crl&g+d&T4NjzrPOuCH2!M%U9vp?3*Z)Gm-x>! zN_yf;lq>YaSue~F^4?NUNWP-2?TfOadZH~c*-3i2Nypx>JpZ`bq3kGij(|_)y+ylE zb{wqcACCB@zP`@RjkrCjn0ub$nr+VSi0^6(dOzv=CG7t_%NsrfbE0=rwq?K2W!|q| z_pMGgCt5YxkGDOs8b5eRJeyI*`0ktX*@+)T{VrLvF=BqRy+xn@N2$-RO#A$r7v?XW zuFr}o&dkQed$pg2Jt9VnbzzT)wfn&Ge9I}&qMq8_Y37GDY*_sp89&*D<~?dJL_Us+ z9?DzHp2ZM5J6wBkRxUYHx?%^SO)49c^>%xH}T5>JbOcX{%y*( z*J;)<{}yXEJs>+rrq9u6b^G?2I^4}cw0yb$l+Qp(S zd1ZZ2wDqoY^4|i6*(CM-vdKPD;q%1&TJ%r)%I#2BV^YA*R^~kscH~3Tr5BSH-w$^{ z`xnOdf-j{@uvfj(t6y8`dWAI%Vkm9VhkwV){CU)C$)ic!r0(;3_YLL4Pq!|QU*SA@ zzHBW1is@7OUSZs9Z?gQ1WF9A<#>;{8;R@sGV|6)wxcs7LH|ZGT(gNxM|O{Z1v(?w6GB4$)3>+7bJe(5^GJ z;Zw-J?J0=$>F%?kp~ZSyaV~?UHdI`_j61B zj(G`xAMUu}+4=3UJ=?3XhPkZf)bcqK{wU`8z|ft~X>33|-wCgq4X8gme|v-{+zg*) zU30kO#jEnSMBFVOerdw#ORMtVCcov_rfd0W48FXUpTwfX`$iA+O3L%aT#LAr>Fp>} zHg2Su%+NQFH(CFl_ndr-(~B~kvHax~-7A)7pIk9deyg`rEAfY78y3$iwN>m#AqFz0 zyi2toCG0m4U41TQZGZ4N`HHmdi%zZWY1`GjTkT%7XK0Sa1*T~G*mLqqY`ZLnA1d+X z=+)Wy|N3OYn`d8`|D1Q*C$K(i_~m~G{b>KD8_1JSzCQR11uwm7b^Zgdx3N?YfBwy0 zZ)2(6msaQB@p_v}_282oUT<@$-ipqA*z0X6)tlcv{xYw(rBv@-o%w(9dOf9j3%kdA zyk1YKUcEE_Bd@ouRFC=42CuiRRPV)I`A5Cp6{UL2eO7zDD@yeabme=!-b+gL;J?LQ z?`R>yveJ^kDsXO}?e0_sa z$tUTq&gbVp`$TrK|?*W3&dw%{n^>mj&(dQLw^Z!Yjor4AatlYrb z{JW$TH0z3X44prv9qXFLj{U>h{Hqb3(@*!+H`%FIotJ-!GMm&e`6EekF3i-;$@+u<`eMUfyz}a%AWq~dG2N5 zsnY!5aK}4-J-;o~eowgx=1^MP@T-opghEu;^^dQf0jeFLb==^&d z@)rTac}w$)n&uDi)+9LO864Yx7UC9hE^)Zy2OIM95;*Cd1cUzVne+22Uy!d#`^DO) z!DXG;{qh3tmtK%RD=mA`G-aQ+F`t)~jdRcf)<-txvm%a#yy0ukh;>XK|HJ0|Up}7b zb>=FQc;)m9@_(dE{bNC&kD>p&*gNDg=1%t)f9HbyiE_EcEz14n1^H;X9D8>s!Mk8n z{#d!(vKHk&vMK+j%7IsQ-OT)S`d8EUQMckFro2IZjr=B^nY}RoGwK>YD4+F~`qkNF zdvJAkVGpFYn{?RgUzmRe7#F2_?eGipLDKZ?uhvpp`oBrMZ7_{pOc!H%b;M&9ee*ay zYgYG9wU!p+<;D14usMHc?62v%FP7}totyK2OMbe>BH9>zlKI-V@DmG~u?|#!MGKm} zVj7x#a&vxdnPz8Pm|t@;nk94TCYnvRzJA-&q}dG@<{MI)F+XnNA!xSdm!MhG_jsGI z&tE|Ic#KgzINFw5>}pP9&9?q&e6>%Lx3$q1zhhYAc$7Tlw_Vzh-=_J-UtXA>CLAfF zxlpfc3uge>+86gl#6`6x8vFi^Wpd|c7i6Y4nU{Oa3;6&}vbIb;OJj~X&HD0z4rq6w(=OQqpmi6GRhjp` zn(`iNHfuz~xTe$b1bbd1B>^ut#+z^N^Qhc4kYT z_BUb!)DQaF^d0k$_R$XCk)JqpLDRR)?}_Jk-N3V(---T=^F%89Cwj7cWES_@%;Fq| zS>5BD9dT!!XU2EQ6aN3Q?(y})iS)0{(KF+_3DG&se|(-|X&u$3JvOTIKR*`gzOfRX zZ?A@Dc3OCTduGrVl;u8?t^2_(oOx2!IqCdeP`XyciSq*x6S&N8Tr_&H4V-K89zd7M0br<`PTVy zXmbxV^*h3JN0!z5yHM{xw8|R~dG94p6%6{(Re0Q41c`#W= zgfo0`{sx1+<5>HuU$b*Q+xMSl&o21~p9%llKYQBHQE=`ht#|H>q5JuEe#gRWNOy$q z*ifxOLN)3iH#@t&8zVQXc`{&Q}`8!m0&v6FL}wq6zL%-{_E7ri>dUlZY9 z7v8(C4^QE~>&i(H-~5SjBA(otPB4y+oUsWUwdpzS9qSYHREhs?ntL@&t;cR ztn3Q!otK6D-U?@TT&c5Dx!dGroXf+Qv{$krJuASp_xa&{2KecH2JPE(XLx4dsrL*# z?Fn9bR-l2sLqB_dif0x0>)>HM(H-`jn~m!()Y^Z&<&n;r;s2IZ;i+{91)@!;Z9`n zu=b{6KYk{hhoe8EJ2H%S;Z^Ii-igIpIs6{CGhSci#m_}qZ1|Kgk%zQgypMzO*iU@Y zmatpZF??FoA>Hsv>ktpNcGg8ZE#EixRefkj_6nRkG1RoyX$s>s|Hh*eSz7x~g;RnmljcZcz%>81YaxqruT9d;&n5Up)6(dyHG)-+;->cyJ znM;Oh3)zpw&%S4Nz9Y|M4O^%)#7sZ(zo@sLdNI~pj30GmCr^*%YoDcz{2}ljPT=-R z2T;!Ou)E&dgZ{2L+@y|ZkZr$og7dM0Ug^i4Ts4_C1r5lz{wijO4OGlkXYmzvu)#Km zgZF@K^NQwt>ak8A(lYzD%=7);B+v6c*mx03DvwuzlaGO7lh`i9iL@BA+?$?bUf`7G ztDbPOw1`v8FK~)^1y22(QMe(-fuU!C3+YCmoxofZ?(wnyVC(g+`WpM@`^KBk@ErEL ztg6@n<|w*zxoJ%vf2@ulW_u*#UcbJ`1G>{nd2vqN#NP#u>I>_*p?=EZGGQz+DD1UsUO=K@wisy{^_3VPCw&O@qkukenuJQ zCpNAlbGj!+XHA1={O)1O{=tLRMzrzLWA?6lO=6n!pPuP`$8W(#x8$p2zd~P}pV}Gv z9g(ln{Yd!xb$op7N$6x>MyeYp@s5=X{VwC8IjZjWm0qhb7r5)i*`51(mL4>GrL!3O zVYf>?y337wl<|8F4*bMCv(RmWUXJ^y+ZPAD)^wNLp_vaKf9pcdmisk)$eCfUVVtYl zc~~py(@N|D^DljSc4BQdq&rndR#x&E_?3Ua_=#>h4`1!u`F+eqx)Qn--{X;9gKj#H zuj$Mo=5Tf9UHWF+<)bg+{c^!1ueO~y*hc2D8)M&~L9fTy1Q(kl?ELSvb!+o>yc1mY!E*^lb2##-*n3 zAQ&fok0+i%j-H$#f**DucBLb}e-RG#&%a#mB{emkwVb783W4;Sax zrs)s<3=0# zUfPd8tD$SG%q^iz&^3&g$}MYA?&cQdI$D&wu|+w}jmqu5twp)67Ugy~${D`b)ORbt4%jQRiJPUPrsGk3=%3#WAK*hb z@#ynH{OSqv6n84};n5$Z<(=m)*piQw%ffSiotAYT>)n!nn{?wb^WBl35|4c|t>--U z$}RarX}a^+>$l_&rs)ZfeKAdU9(&i8{PUz|XI#fUG)s@mk8a{E>ErSk-_sbof(N5~ zy1g^Hf2c*d_^n`5xev4`r@4H&-MmrG{C(q>*B+Y@`J!@1xGQlKzR-9V@;*ARkTdCm z8?C?ev$~YKpqRhN4#$2DMBl;if7>M!p$s|$7%E#K9%wPcYK$3TyWS|eR*4y64~%cN zE-lKwUU^Bn>AZK<@~cQ+X1Xf2-%7vHrj`G_n(44BsH3%s0_R9ea4q~x;c0bV73y3} z9nrym`}(i3`>(PGXCrUj7K6#Yoc#YP|5wNKug#|a+z;7Ltn-^mnTJX5kLlmm{|NKD zNty2_|3?!zKTQ7rY<6g0_j~>$N)o zeu1uBu@fCIA=r%D&J}?kd$$-3|LMcooi?|mPgeH27G)#7|BkYv+r&+mV_Rb!@9D&E zWOw_Q*_>E+9T|W2#5Z=5tlxE)=;kW(_oXU9WTNLXPdp2x5*~4M=H^shs`b9DQqL8k00aRZ5i5_Mg9ftX2 z=!P(dn7Z$sr`UI`!P{0GiB*l#&l%Y=Jjum>2EHj!_QV;YajSMif=UG zdR@c1z#}}%k%N!tO-j`$A@wi#>e1(An=09 zRH&=x44!tzp?G7ObQ@Fh6+eQ0hl{b+*eV^lHCz~5;}yqcLrf?B)|8&;CEc4U80ojY z;2Ui;{T+|}q94`<{KeWacD*$%tRKJ1J~IZQUlI3Mgzkzq$MGh+sfp7@!?blZh&`X zE7R}A@#(>tcs@E18K}irvd1lSSCsj%Q}Mm(qH_n4X{#$eU$za>yXm*Xvd`#(@?A26 zPD9tBz;3BSNzdA{3Hd37zD>(Q&q6Q9vQ9_!Ro}OFo@{*QG>>mR#&L+L6yJ9PV`K0) z8DEWIgl#;F?k>hxV_(X1eEgZ(wm)QC)7VzidGP)7AMOQrk9SyXYc*rInsLB?s;^{E zh2lfRy4r6%Ej(|D&zs}(-SK%_eBKeCd3=88w4s{rNFYu%2HZ~8QSo`lJERAgi_g=3 z3bnBoT8Lkek3pvoY1(r)qOlQ9Yw&&0kGcy(K1C;Mu`9AYk5pJ&ddmly*NN{JNBxQI zwY%)`eXQ;(zGLXci@{f;PyqhKV=L;`U9J4KMiv&&-+oD7w>hbMg5>X7du5K?sa&! z=tP{#VpgKleMy{|I93q{EZytyZ|INCQ1UVOy4q8`P;)Tkm33>|Gv7;0{t5WX?n`{x z%1L|XjdnL)V)3$0ctLlUTiPu#4ZhHsl$LgLOoK;W>}l_gY4FQ7PrEIq!8A#{_x{!l>tT=yDj;vperNhl|h$` zEh07^&kU-tSK+hZZ+wvG1l`HB6?$mxVU)Tz{zfbVOmH_pLuKff*;nq#8vm5wyaTzq zwV}%f+I0_E`@!dnwu_LzHsa2U*tY>(V(+Yx>=|kUm&(m;clT32q{se{UyHhGFt#~( zdVu#V;K}xN(r3+Qq+h*%W)oL6`p9^3mNdKw->EOY@8s8LuTEO~eDs%|=v8~7OVu~= zz`jE}xC6F_JvQ+!uVjx6^RMwy;A;P!@e44mompKNUZ80MGb=KG(z#+OGtzS_?9M z=xX$FDt>q$?Ts-;1JTABFF0?ki@dQWK9@zF>6o5ZMi#&$$Y=BqH-W#!90wvl%g@*i z?kA85;~{Lh#zQz_t3!GD&aR(5|N5~DYPSU4-4|hL4~4-HUBx@V{0Y2sVnKw>n2ar$ z413tu&K!2B?E$~D$n(|qySa<$zA5k;Bk!@~yqdJ$jn6t$e!p;)-(r0Qp3)5WdGIWL zqv&P0wrVTQE4P*AsV(Hk+Dg)uW^LhzGTx%~8|8ncVTx>H{`ujl<$k>Uz?Wy z$%g#GDasGV^75l%e-CsV=Nqgk$`8l#I(xM!zw`z9v!^Iu)BaBI-uhXYWdD$hM zODdi_)t~su_fJV?Q`nuto&8eUJ7s*wf5BDyl=fx{{`S3v^#+e0==jO{{LhkpHSsw6 zk(+3Ce0~0>N!dwwQa+*CfsWJ9&+nU}e6RXNd8e7{#*_7}X`Xm!mF9^Dn&ydX(dBEg zQ|E@K%@>(F>W(|@iO@cX-Vd<%e@ix$%?xw2nY?Q*mR&bvyw1I#+#q55HVRshR$rgl zel(So&#?Bk<Do z&iH(A?xvdN!`s+1vN7UMd7Eo~Y@y9Hzj>$mL_d=*?u+aFBX`e?cLy%CGmAb!nGxcn zf?av=v|P{XgKhbYnR{N2{~YLi&uNB>+UxvOz^8VP<^#d@4o07>zKyY17i?(Vb+6Jk zgmR3%`MGK%dvLC`RiUjT?d)4-oc}$zXdHC*?8#ttHoxwi2g^r(G^Uvej7pW`T6 zk++lfHGe;Ug70N|;F%uiD*B^;z%9^~H1UJct~7r?7rNdM{az~r+;)xSM&QV|0TpwI8Z}hQ&Hz1+m@k@Zcw=Ui*aOiK_XPPGi+)O)%Il=9&6$ zbZuuI1^j)`U=(;C@4x3@HQV#P4?{=MMez-5yA?eAP_u=C=RPUE+ZcXn?ZK|wMN_q5 z?a*I;7kz#ReD9mlG3lT5_n7?JsAn`DwR?j+$lo=1_@l$M>;?KSc;@#JWBYFox99(6 z@BQQCtjfFpdv>xgONb%F7$78@HN?ysDexc=s>p^l4-29oiXs?(YTZ<=Vxa{Q3@qv* zS~D${`U6c+%LZ$Wt=6n!1*5W7YZ0}gRl6IYod85_et5JBrWGMjw!^J{EpdZdbPY zBb~XeUN3y5&pzh%;r51XSUEOk7teb?7WSEqeuQ?iJbOF6!t!zSgzJ`8@$%pLrg7oE)9_XnX~HS8m)bRHv_M zS2mgG@W(FQl-0gVpUa?=#+bureISRAyhix90{;>C)@%i91iQ|kZYx%oGJDU_!}O7 zuQ|l-jhHSIPiDNsF6446tT8^azvptVd(O06uEpS6m}l*2K?jbw&5~aFPw)`UEnmX_ zU5oohd&w17zDBI;d&`iOV7JoeiB1rH`TJJq!!uiMXnNN<$*S-{ zE~{ID-!1=M`2giv4kbsrng6f%|3CNt8~pzdID@I@ulE1%*)ROR*#A%MAO5fR|BrQr z|JqkB_seQ{{NE0!vClE|9^K{ zu})y^pW(DpTp>JUGpasj)8CdiY`ni-xnSjYzu})B^8F~EJ$#-^gERO%i_a!LoB15b z=WsrE@wu1JIG;KnDMZ#pvqSh)`K;kHz~@{(gUM$b^@@4oE%*jIv3(l9_84A^&sZtu z9`GkMZ#|4h`TnEf({?%CL#Sgi$(qyF9Urpw$@ILR?PK&aexI-T89(~YPU;J??Co@B zPP*eZWcoAP_ue9Ug8uZ}Ya!2B9M8-4VLW@lW7hH5IxXX2e?q(QydxdYS|5+MOUHBF zOyf!Xw*j4tgdUX=u&{gM=x^;=-n%OIxpTc0WpCH2jrcj)w{$)?yQ+7OXok%S{xR)- zj@?xIarC_T5=UpXuYmVB`qS#7e=6?7nSX*W8vPT4BRz?%OD9@=bYi_D_$L-;c>g8d zf%HZEWaA}#i4pfDvV*Q=pXbs&Tfs~37LPc5)Nx30{gM3WfVd7E4&jM z-)@g!TaJu62766b`^c{wITXfb`dW3XI-lnERIA+$;3U}AZXm0@ccyk5!X6#9`=hko zxmoQUNxL}ih@0ihVjqK9?JY^&y3y~yDLzT&CgONXI-V=D+Dj4~tM0cLj%U4knVm(uefs>$zYODO z)M*|c)O%V%DY3+je@nGUU z^ieo-r1SQ@m&vCNaY~$%=okEr(fk7LbfA7$-)Kp(32i#w*Ee}KIX&PK8>7pdR(wZU z-p$pLw(Nh&|Ch8DL_g$!w8zHx(3xyuGYzhuXSXtE zLs{)zF>i~!L_Qu+JP%G)`qenaKjRD8g9!~ZUna8=U)oh%cC0V$yS@jXDeY@Z= z`Wh(q1+824g--S{tlw_FEqx7m*=FdXv6Vgs@0|?2m^<4iBf8=P$MKE$_y)bt*iW1v z?Q62%X0tg%neIixp2)ZEMQ)aJpF^fSocz}wNNi8|t#eT-ldaPJH-2Mt?%M_La@T;h z&)5g2^6pnK_xfJ%-xr7PY)c7#WGtS8n>ZotdpEepAp^8Qr%!F^U%&k(o>k=AFc*>c zlt-0(E!5mmk64&kSH8;!x66LE<2U^FQSlsl#P}`dltrVkKAhaa(4Tz^J)(8t(Vb=R z-rv@kCY6UAFSAC}AMZygqci5RhTmap`0}HQawj?aBK-PAXfL|yoPf?vY%VX^Gkz4b zUCn0|^2ZvK$=_<1zs|lXdJ~x)++aWXTyO1pP0ux!DEBR7hNPM+r z$9iNb$n2|?=K~LNltE_6;Wo)E<&xR$@VjJo5cnpef~)waa|W3mf@g=|ZOM`1HrJc- zx8wR--Y@fAk7EV5DATvZbpk#2_9oNdY%&e)qD+gP${jeEtb;?8yZ6$63b%5w%eea2-pCeoc)R$qeBo}Ll~@a{cm8cwlfTcs zoV5p#QSCX~iJf==ISG73-SYW+E~YMX)p!Pf2@bi?sq1)FN}h@D?Aa>hjAy?_Cd7kA zE1mtiy^)i$daL`U?si;+$4^xszSTI>@r`-@&*1a~IPgS6H-DyYavtx}K&EYfNj2Xe z36Jv3?CMt9!FL1EZ-GZmU-0~ACou=elIdgVzJw3PoR8|@$-0i@oVf??G1@!8zRTns zsrHD(IVz4}B;uqwS{cSriDlx&QS&!9_1w9pHuG8n_vuEgiu{7FgSD_1M3z?^s7;m{tcGi>D1=*-Pqoi*6c=&O99ljHr|E zY1YZ)=tg()>?P<%>E!8l?FH<6Du?sFg`C{xp=Eov^pj6OuRI`Mw0vRii^?8X|8Mf3A#w9EZD zeATBsSN_OS)^376OWXD!OP4^mA9~vx(ze*7z0WZ{jNdT5?OJd9kKXnQ;kyGKgI}UQ zpY{cgXMbtQ#gVchrH~%MxAWatCs1xc+lkGq?g!UCdOxSFx-GI+^3hxzd>G9Px~D5KHf$j z=mPDN&&#;KO=ZeQ=4HA|hq6vDGx_Jg=^DmhzBl?U*6+brFRcv!OXy>jo4(NZiP@CV ziMgm=l^M+j_4^uV$n)+S{rlbFJF{4^;hX>Z*~Gnqa~k?S@;7o=jeb-a`$kMMacNdN zni$pikg?aJuAJ|3eoM2?x)>Zzfv=z8{P9i3ir*h_XRd6l>Q85Ti~Vg4{XO*w^mm>2 zcYyb&xHa$3=i0`ndx?tueIoR?8=l|S@on+`ehQ9~`9Dwli*u>*$p@sr0nd|}zwjyS zp7!PU9bKFFWuwm#r>V^wbE#Z=tlvY-)^o2Y5K@`S@*fApaAZ)C)9G-?u!8zTfSA zYp-fP=k#rKz^9C~etSZPBCVCo$A7$Zg=;+S|ahWmCYnDJRp) z26hJ<_)H(q^P_E{Z3!Fr!r#RP5+7Dt*s&gHAse_P&STmZ8~8l6?Qh+7t+zeU+df11 z4zc#$zg}zEw)T!*&uw*y`m%wU*FP-wH8kA@esdBV2rcnnTid`e=CgkS&q@dE53Hii zv;WZ9Y~Z3q7B&#F4qGz%v`j$P>xBO3i%bxIU`b74G-{M{Eu`rv$f3qq2mQCTiXj5K&EH(xI zfLy1+T8?cAHotH5Vb)ep!~fG>rfMhc`R+c^zfbb-wc*=v)bn-n0hmwOiqAIo|4K&g zKvssqPq_}sjeH31;0$w5U9B}+xp-K9EYEwf>Dl);Xy3-Ro^Og2h;n~BUdh;@)BeqRTKIekd`@wEUTL%Nm8J980g~ zbA;TWvrK1;xA2iKdph_(=5^)QrFvU+Dx94WKd!euS?M}Kl7HNXSVeqYe`|K4&aLbv zN4ZZr{ZQBG;arvJzY*uv3V4q&zVAp!isuy9tU%UQpr7Oy73PY&N-VDVjF0uJQCHGd zI{p4N?PHUu)Bn=jel~53PXC(P5>vIZ2T`Zr;%!H0Yw^G;>EZS|{U)#fK_6d+A8EG# z@}q0-_<17ZP7l*-S7#@l<2;wwzv1ZG)h+7Vd{BR&SpVjuYj0>#e?;>~{pS?xfAr|u zr7h}@dHpB@IX<60y7uxG_3K{0rwIScN7r7^qJBkrC-7mB*XBQm|DB_2C%33y_4?6g zxsLwivmE1eJ_S0byr2G7PEq_?!Ux%T^<5`EKs@&#^Y=4sgU$J3d=byNX>QFvbou<^ z8>TwLcnO=m(EH`AsjZ*S)W&#-Hv4&-#k7&%RU%HmUiRP17pNROqim%y@Hffjkwde! z0n@4AoZ{v3arRH}6Qno(3%Z)UM+VK_ANmAiVAdmy&&j!13=F+?>Gw+6Kjbxuf$Pr0 zb)FLg-@DvnUW+LyOJiKsv6xc+fPTvt(6@X6eajcnw|oJ8%NNi$zCfM1GaRnMW>Yo{ z511doZ}S86Ek8i@3$f*;$M~8m_CM0s=B&4GQum#oe(1*0(;vU)+tm%vWZi)AQEtyE zudr94yEBa2;?Mr9wrO`mhU56^qsz3=nW@zP(EO&hnzq)jotVn5)Y5aGk? z(`a0FDVL;ot-=>^{CeIc8Pl_bmThCSLJqc= zhs^g~V}C1_UqXJgCavF}ZRBCAZm<7Tbi_ZZtUqNE93NNisqQ|N%C(PQ-zA=p3^&$O z$D)q#w)Jv0Dcd4iTYcKS9$GiWINxi?(YRnjBl&BehA*V!-XL0wo=38ep_}-`&nIJ- zZxZ~v_D(ENUKu=@-)dZY6ApKO?L^8gcQzRDr+%jQ+^H{LFFxmJ^oGh8Wc2TA_JZ5n zN4&r}TWGb5|5g51N(ao9yjcB1p@Y@iI9fulyaHN;@@%roIO{26Gug!ZDhd|W-?@^jz!eOr_>PYVR=r}%d>!gc>tW0SAGYl+<*x_e?pR$Cv} ziJ(!%`xm_@fG@puuG8Dr!1qUQXA z1)jB%g>P%UDvkFGb0b-het#TXB?|-K5_OBoLbCq&-z5uwdQ=-(I3~zI?~%^O;2Qau zHIg6))G7653wp3y73E#-Y3P=?$6_&KkW84~7LSpimu&SODPHYmua)y&Pjk7+pZZp= z|HvSJ#%~w@_ww7Y^P6<-QQ(>CuIeo z1wZw+zc1S1ubU5+idU938awWUjMZ|pP6`-BH?^m)v4j`#y9&eDgs(eJ(9?-{@p zjdR{y)y$icXYD(zQd@g&^O}2R%6L|i~a?-1GsyR zY{Zh_{-##?O?!nzpJq9HV)=BPs}pT9aKt`LDVB5e&_t;=}_T?gJa z*NS}wYbUVQI;{1AMR^9_kqh0VwW5>$qY+~b`uq?27!9su4!9$(m*pFYCZe%DkMWcD z+YZ-^``==)LSw7_FvCOkAJza<`r7sk+vc0Xf%N4nxE3GF5x$ZES{ zUa~-Q$?GZ5{6TMr3^nCUa+=DgkN!G5j*J?e2RsfP@3#14TPmLeQ9kv|-|dj%tiCTH zU-K33dxG&99Mw(cFw#}B66ad;nSN}3LOyL<&qq(F{q0X1d=h!V;H=0-pHJJS`rA*a z-QJ?U^+kQ%_h5Tn#XIP`2(Jp=Br|`@^IT?#gFi|GAM;{&^Iv(f*Lt6_KPl~`^R<4$++1e! z`VM>**TJ^G0-3V%TNrzMKUdTt%u_YWl4OsxUbph=llAK^)(kI#`L13 zzVh3xct-ToSl0Mhw4Q6ekNPGypZEy-f7j2`-y{rS6-C=!C^J#t%c1L4ly`iPtd=>iT za)Uqf=>Ni>Sq&eySc5GwcaodWF}KohpQWwjS?d@k%h)R8yWPjvKK+x1?C0_We)371 z>OS>^+Sa6Qll)L$Xa1V%S5K(j+M>Sc73wc2)<5HfTCGKW(<{`MKCAi|QhC&GqoJ(_ z`uZMz;*~K6t~rl;_2DU#P0HYv+?Lup7IN|jPA|o!vaxY3Y0%4GO}Y7n!09Dc%6UEY z!5Zt53$!kI(hcUC)uF!SRpMUfIPYnj60jc^55P~x-|{!m zx5!RDF3FH`;J3jGTJsYxJex5X&5&cuL98zLm^}^OGRjKs!xidg)cwX#ID4IO|32q9 zIH!~Nr_ed_NsLjYmz#W0$#(QX-|G44Lm3lgA%D!dY5JW@j3)Uck8@MCr+EKY>H{|4 z)2DnL`ns`K5NL;MK76P=F~udr^e zeUiOxVu&MDNBT>#O*yN5{b!B1Hu9%n_qZ7CFO(2GM;1Y69 z^PA^e>jcgEEV*~@3FMTNLsKr!;-MCH|03`ZA1fvmEyq|-z{i_TOFeh}^-dpyt!Im0 ziGR`ViFU{D8*8GHz_N5D-=zAB(uk{_}DAMQgJ)T+4nzLhm;Y*c+U?cAiwELt;lM>dVIP(#n?%{&Ci%G(f9+RF*GdBd915B|97vu$?Mk1tJ!)_k~`Ac z+uI`!#9_*X{&O1~B2RqF;c9)U9S*819KPyxEpK1Ohl4%?*PBk7L?=CNepmE4^&Gv@ zr|0Or{JGnz)RyM!EjGU)k3JCBa|`2C?7mts7otaz3F$ZF@Db%eD#`kQ{3|Q}USpqH z%%!!WTeRuI1$nkT7kWp8&biKpYdx{6wtiB;S?Ao(0cX?O;4>Ee0jE)ME>-`uSf6nX zxJ`Yc_ml*I~4m&ejKu^;Awh_ywEQ81rq&;6uJ;p z|GwB)tDLP2bc++w)KF=3tH44fZvp#v^+gW>~s=M&jXIl9sbDy#31!!n{)MD^Eq4D+xvlxeG9UyMo(a0v$5G$#=Ro;9D99* zo+q|)Fy~2pPvL@HO7DTR_$0BJW6=(Qm&I1cHhgW_&Gmxc!fwX+)a+?uH%Ah?BYMm> zR?VG0qDRE_pRqx@_a~?4EMpjsv8>C2wL26$pNvKJ@jAwWezbGCaULTb+qJnowz-|S z@V{Yf_a^rB+dj{&bjKAj{|wKy)17aCkEPdlL|V;*hVJX8y!Uz0H`-j_jrg3WJX~Xa zL_BQtp-$TVAQS(m=&&P^BhjhZS8d$?w|5`% z0XEJSaiZd9*_=!88*fG)C2P{n(s`DPS%@#oUY%BP;v1=#<_1dO1bvXkNs>eP+h@eJ2|Z8xSqshNYoF@<$Oo1luvnG4BW@RC-=_bI zVaefN^0BO;J_-+1Wakz)+6_8R&uZOno7Oyk+@jrpw^RPd@Jsp=4}3l5 zzY`wN_$J7ahzGvvIXd8HdY;(E=oeL)!>02|^wXQz#%iwj zL%uSljeNi#3T_MAI2OlPu#NdR3*%v({pL8YY0gCNmu#CeN${*kJe?k`=2A9o|7#mI zE$T9(Av9{&Mzl4Vxjo^{0{)zQZ1Un}->F_E zPene+cv8HN97mew<<4irjX4NsnW;PG`c<}R7jU$XTXcT`pS*qCM-kV7Wyd0)y8agr zs=oFd4@wUh-VNP5;{6QxGxedE)NG>1VmU5?qZ|dWl;5{Hjzd!&4D&a6@#$~pLHd1J4ue9$Yr?%`h7WQW{=Y$M6R;H$^n06CGf65NKJzPgi2 z`|-{Hr0xW??z!mb+Pb7}J@TGn6F*y7q{VN5k;W;nS&c3_7Wye(Eb42zY&wP$R9DMzleE4Y+p5*(=?y?Q|4XsDw~Ox;Vi%|3 zn9rMF*nGb_++U&pb**c1H+Om#Sn-|4DxT2!fVN}i?B>`*4c@K#oX0s$V_&TgZ_xb4 z^%vpx+16vf4cqxiAIqECj794-+T&3@vSfEP>A%)(?_ex*IoF)8&8`djQDeDqrm>8W z|4YVF_xB;CbR14(GaZ|FKyv!leVEg$d|bYk8)WsC)^yOEzTWE}4et5;t|AzBGE1vlhbUw%7>z;;}Xq?_P5Otn- zDeTitVz;3g?$ha6oZmSa_vmV0ru1t?Hk0_F9`~`qLq)yvW^&7_@44M=J$H80mL+pL z5OtGaN|uQu?EayC-ZzlUA@URAE9&vyMe}*PoL(0zr#;to?aLeUr?NWwu=KHYQ}L`% z5svimujogzeP)D{UAfHod0yDhb6Rl>_jc5N@?b;OD()W|UD7c~7jswG&ZKUnk7S>_ zx6EH?*^WEOzLT_zdc*M2JkQkj8*6G`Y17tt#M?>^wI0wkKaY0Q{w`@-bvbK^BV+q` zQnzVrht52-^19!Cj7E;?N5@nv*9CE_Dk+hqJpSKl$Un=7F z)N<|jlD4zqcYad03BQ#ydpjoqV0vM6!+#xm!N0W&wsKmA|3D|`Y~TpdF>VGS6{=IepUa~S2X%Z z|1A(cx+`09IiTmRf1}O*-6H*8cVO+u4>WYgZ1n$jQn!izN6t+DuO#iJ(Vw5AM9=dFEy725t)Biiwndz^7{@nZdDRUeBdZWMlk~#fvoQ3|3O|*~n|AF(U z?9YVs@eR+by{y|~(8Y5+2F*O^>}(`6;!3-$|}7;X7zy=Q_rG{Y$)9Igzq^ znrT>qhO#dg`q;GB(s(o4PWp$h&913jxdp=!-G5Fpf5To!Hls4pRWrLkH{2JK(`9Y2 zRUeA@M_B0SQxaIQzgDocXR6!byeq|3@m~wuKGfXTz1nlVD(P$3eO>Kq?J3q}&-LL+ z-N@S}MK^zc^&bsXx`y8KaXJ_*H#+ z9H;hcX@3g*__JL>ADpgsE0|x8p@*a2Im=w+{>beKPvDP~4tm|Pj62WSgS>eJNTF_cu(uRs-KVJqH=9G8AqM>h#L(BQ$88FAM-1DeMb*= z?V6-+aU#D7AEpI7JbfEbH{mzr)lklJ40h`rRw`*8uV-IS89|6Uts@Y+Zb2Sm-tQlmo%22 zfsg!wyOMECu&=fQ`K`l4;Vi-0Zk;7i&Pn~`ym)!J_RvH_rs90piRX5ai>w|4-#Z=h zHpAuG{WG=c%qHJoZ1cf#?dvnOS(#0m9#3)GR<8a1Ol^+LCa*2_^W}2wQ%RfQn0tag zR~GA%hxp61ZZel{-|p49qFa+X)9BNcO?rOQY@+G^`^&XWGqstQO-6oRwl|(Ue8?qY6XE}$pDB|KQLZA^e@lnfn$rH;zaK;I9I|^id>>?f zu6T(2FuCH!KFRRkaP4-x)API?hFf*-76f1KFI~KP7$Vdp6qi{fyY2 zey#lxb825q+Q&Jla95J%;IO3rgzV%Q$JhS0MSYE>`%`m9b(f~m2KZM0mB-g^PwGcm zvAe@%GiYOSEqcZ_uRFf>{x)p}yp73qLZh3UMnA;|NO@Mj|4n{@;K%v;^vSjB6Zo^u z*Y|0k&ezsi=4;S#`8w@%Z(8iz=#5UlH0iq<*AX>e@+S+t^10YP&eyZ&)LxRbkMqTT zg~{%D9Zj^f{+>Ulc4|^Tr$6m80MH$v?_&es{z# z`i|J2)k%NVcn4z}e!M=mk8_V7wj^mE$HyIzdROYG_TMz|*PX}L<|p;z__zl$_))Yu zuGr?@<7*vl+8BS)W>vAx`0=%0{%b?V(|!g;N7`t8EbUh~+x<488{^Yi_%i37E{1NV zUo_w7y@5QIqkgGWi*%0l&!K*thvK*TsFcv5zUDXLxzike3qN@!G}qdH?B}5)^v+fK zUO*mM@D{jEF6bl0LD%C4ZDSop`e-3=;ut3sN1t1<^ZvSTUgLZKU;Y{3&VAvN58!WD z-DG^-J}&E1WAJz??r%(B-`m5Si5@%gs|+@FX1-u!>mIG4kiR zb817$JPyRY{cZSDxdO8p<)Qnu9&a>bE~55JVspr@6F?o%;7hiBiyZ&2@`OUF?4|hrw#Y4lY~NxGTAQ-^aSRt7P&;-X$M7j1gXLo47)}g)5ot6J_?r8D`84~K z$=T?_+JE%va$hd`c5e&s>a}w&z7IhDTNRq?eJiqydJnqJbh17d=J=4#+Vzn>&^P6W z1Mqk9de7>tT^Z{^#{rkm{CQtz?TzVkpQrpeyf~OX_gEr-P7HNX`aGUTiFm%WvvzL! zJnjvN&++}vN}tELH9jXlHV~gP&dAFHP8-dS?1awpSk4?sZOZ$ARuj;I=OmK;McbxaL#h5*p8HXjAS>&)jDp=GtJ#0siSJeE4&F3P1AyEOR#E@G&A` z|J+Ho=DMx)3cp_wzNtoD1s1dn&&Yu)Z<(ExP3atK_|2VC)X}>s^Lo0Y@zf-T>ip6H zzuf43A41>a?|gpzZ0o`4_>ixS>G-02&N99?dLMfe_@xu~9mk8j{eL9wHD>9;hgBBk z7x_Ln#V^YLEcgvL{O_gkou}`ktd(BQP@N1u*MDozKEBxA_<3D6 z^|}<_Gxn?f>kk`xWh{Yd^*NKIeK9#tT(n>9+cVW?Z_wFk{mb{O-ILU>CvumcXH00J z_ms)c84wJ{Y&i60Q}J$t3HkZ&+OPIEDa-`td|pl~*?sOg-k;vD_OaR8yfFByc^mBO zUnFg!eK38X{fvjWzBneET9A$zyZg?h-87o6&8E_|iYM={B>QDrq~ZTMP>ckkOM<64m&NS3#0>8A0PE*_(^p`y?YwGr!vi#`Qg;P)%!rV z+nS7cFy!l!d>Q*;r>-vXuB@yET=qwD$F1+Dte5$(J)WQ9<9EhI`l(#+iTRf|g?Lo| zyFV4`cQcl$tJm_blDK!1J-5Vv%7M%GGJlNq8{wmzx^j`}KIq|?XQjO5zFfyM-zv3wG4i4{E zE4RNZB&VP9pBe+_|GEUP+;vBGP2ZoDh=*SX-IN>6L^Hl~8Z+-BK9+dziSiGI<9w&t ze5V<3xW?hIcFo_&UH)A+*?r$#ncYRCKJxN;&1Jp2uKsqmfp@AF+jj=tWw}|6 z0UXAmNwcq>-21^^G2)*|Vwy?LPS|%&k5&AaPW%Kqm3QOXm`?REoywS2H}e7eoI~tM zx$(iNh5gy^lF?UZ1{5zQd|>MuYIkT@Q|aw#?A6dZc3pFmK3}-?i zbNLk9O{IIjte-<^2aQYLI=#_O_fo4JHp=EP;xC?xxTN?~&U_e+rQdDsS$)u6{4U)} z%o_Ry7yG{?!6T)S`f#6w{dZIBc`%+f*@pJUi(RzEugl=a3E;G>GtcY5pC*e1eB1WH z{LR`&tW)U2`hovU=HW-ZucPsvr9{q$xMN}HLe>q!ch1)>blO(p&)!5nN8)-jb8T|S zdUM2A{(<()=XxpHWy&V_=v|h!XP>z>ewQ5Q?K8V;U|PBM??Y!BTd_~Zul3RV9-w=g z?hKZ1v#Io{byLHaq1*c|YTq|=RB^s<8k72t^H=N}9*E-{h&-9pksiYD-PHGDWB`5C z4*!{8h_0L|*tA?QTz?rHY>mw^di@sWclBrrK$}EYjkxUDd9^dMDV@zyom7VmMjEL+ z(ILgQpYXPop1#rgYZ!z2TFLKA`TZJnEBNO8$b1h+xR*|UR)qcMf~~Qa81HK=_TOXU zmu}^M+yf`QT0$==KEnn~>3zgDPq#O0n#$x)%jb&s*lBL?ZK#jliv3(#=!gF;`&mst zt6TI#ndB<(C-uQ;6X{$RuSb2$yJ4*yI!pK3Z|Pb1Aknj%?A-v;v)C~9HkiC*pMlqq z)6zl6i{w;rx1x`wPnTrju2|{i;#}aL)T6vZo9r&?uVPH-#|Ks*|L9WQ`8w5e;3?gL z#eT#9({;4ba6WL0^O(Yg7A@gYJ`FCgY(C~YP0{O&C9x5VPh;}_WjAb&(|WWuI;dWR zN4*KkrT@pz^ghn)o7y|n5&S9qhWwqaZS<_|4I0uOxBYC-x%`Kw^K=EBJ2)@kZF`8| z)vbERMsnwp{9E1~8_xRSt3GgPR(r5Nt39+Ls}W~~b7+if(8vE0_*5~Fd>_V;s zW1p1CPUP*|^*I-wP5Y!>-e!hAZQmufM`I8E;)XqGne=X{6IhJH%4<%iIA-*M#w`5P zbB8t4#qIZoDc{RkJ>G+!O+JX<_7MKRt;4j4Q?~B-(DrCoBVUe0UB{SZr}8@U8oWE~ zb1c8M5Bx-*rn=E?!4H)Pk9fxXYsO?g8Q%vL+D1AR;gx`g>`XG>liD-1lo(BPDb~vp z9P@thyYhbVk3`dAzeWS*q6n`9JjIdt74-XtW#p}_-yloro{Hqmb({SANX)y(^LIl_ zc|X16>4NP$cOXw6L7s+?r%SWiO?#)Wqi76zhx1Ft53GO4zG!ZA2YExzKGY<$xqX?N z1)YjsmyaA}VL0Z+(4XurF-F-_&=0mo#(u^>Sk`yQMP|o^%a-zmdrW@dZM}CryXzve zSv_kmS@xDVX7M93rdV0JDSXpb^(i;o2%Qw8>bc-VorJ%3bCX|AE=_(G{sy{|PxQAw z;l7nu8UTY?iZY`MG$Z_wdsUy9io+DhNrbMhPYXw&j?aO1b( z#y398B)L(`RaQFv8RO8qkA%nfUmtK3?AdV2X#bDYSG%wC-BiDy`Oa}~#zFnYzI*vy z?c#kP{f!*s)YTnZr?5AXf5mr|d0DM;#kGGbnpsXnFbebYMf^=WlMg>yANWA>4Iiex z+H_f8YRCP-^qIqvuf%iVLjIEH+-13nSjX4K@_GrKqyA`mM*AENb({L&zn*Cxw9d|Y zz2yysr|}Wb4CmMf{z>FJjm!4aC3PY!b#?0;az<|R4>Y%B z=tP^yUnB0LW_=&N@Ar7FXBlI%I*i5Yf%{m(_s^%E_}+55f+affZS>)rJz#nJF5oKu zwCD4Jd!;sg;`FM@3nERW@pOQ>A{}YL88QTNwS<*c2EN#5+P0XA4uj`@fZU38|^=OXg zW|JKUPzRacK%Je)9roB{sp~%)buTGCn`}HgpJ&#FF=bnb9e{oP^03G6rD}&fhUe@F z;M|d(zbLlBf7aegm35$hwCC_tf2RG0qC++@-=43f+Cj*`a3j15>m(z<-xd9@VqZ}n>8qOdMLyB` zO76qcm|`CXx9H=M-?9(s%t}w-sXG{F^{Qv)bcy3oA9Z*^`cO3Kn746Mc!@85^4d1^ z+{ZCm|0|z-|Nr>k(LXs^$;6Wx|0mk@kK9LoiZ8iU;y4Jf6}HkA(l4@F>Wb`0uyEgMNg^qf>3@k>D}r>)OT# zE%30l0qwiRAFrmgYf(2_N(XdU%k^!07O z=x0K|%9U5d+qX2<6Err%$@x=f&a4f(VkTT8ogwUU;FK%Uy~KhM+@1FJ~O$T$wxQ9|Iq2Xe4{ID?~rIa z?f#!ayd!_l;t-vWBWBuL&PMCNLH;Jm)2M8;j=xq$cB7m;Kp&MkXeyb?9V(hkG{uu1${TE*_Mn5IJH;mko z@>He^k{D_$K6fuZc$AI$0$-DoFTRpFKY?{k?!d~|iP1-SKAX4$nuI+t(gW7?krml00=R)3{W2 zOj357mmQZ)X%4Ip@UUE(So=|EtNP$miQ|pWzR-A<_A9-*xxDPoyg&W#_x~E7{tx+ojZOb|_ zZ~8pR&PTnqnKn^x#k%rMY<^a6w0oi9TRTr8y<37mb~4w0{2TdD!6%7&IBl;ytd0Aq zeefHQC$|lEW_LY3tO4bIgzu3l_zl8OIzGke?Eh(;avx(KaKb)`PDe(Z`2U3Hr22lh zQ$5ie)994@68nx*Wfq)t_P*uZB{)@F*GdOPoGRIxWfi*FM%y1O857OrlZ!UNM@jZ?^=mC_&eo}NskWIu)t_>yx?9No_i%@MoTD^$81mR* zvBwVjPd)AbH922AJ$85tIL{V4obG%w(!b1eDxB-q{i@$1M<4g=u7HmVIZ$#-qxeyy z2Wp&*V@p5l=_bqM-aZ-5xNYqZ>*Sng)}7D+&xPR3c!l!_ZR8)T@163GMY|La-AA=A zc+B57JiaJAsB84XF0{i#I_X8?AI8``mox7-xUIZwH}A)0UjTLqo1yP$Pnf6h-_QTC zZ#eLqe7YFlt;Bc3SGBXy@;Azv)`lKeJW`pTo$yGRdoox*JpJ)wYn3cJ=(MXoz8(F- zUY+iLHd#-2VHa^+FM2-epBSsNmp#OHi$i?3WoW&vcgiM94{Oh6jKj6>UGpOzQ-1B` z&MPU;&Df80?UU%|qn8W!Vq?)9wuq6$m%%4WbxmVG1$%8W?zPFr`3%y*-u^PW=RkB%*>sQg zE2aE8Qf|&~gcu}Q*C{Io3I5Q?&=U04`NRhB>k8*rz0a8#1ltk#^>p}^oD=-I?et>~ zZ^^GC{UJv)(tkerZR}0dd&qp`S6dIjK5p&*fbF*^&R-~x`9RicOrI>-E`B|Vv$3X+ zXXs}*-pi|)3fm%h>APw2d>3&}JzrP4V7K+_IRTxAF5+2HJacMee|_!m5Zjavy2SQ;ZXP;p&-hW==WyO0 z#ZWWRQ#fdDB2BkJ(;sjiaW#W?UJ2UrWYoPJ5&Gd^j%I9@)gV)B7^*EGygLYv*DP=ZS#LZeqR2{|8 zHb3n15PYLkG7r=EN4gvxJ{V(LU;uwxRts~}ZhlQ?Db97>Y_uZBqkS~OW45^~&fj~P zzu(`7`HOyGuuPbL8|MYXO%5IJ}b)R&<`nu}L z>3-q=Nj|gbs*!l#&pya+<=}*;5}UM7x_*8eT~E1i#pet>sl8$1$$Rj>pOW;K=(;=5 ziE~+hjrVA_(}}8=*GY6@j<5SrMP2&a!Z&@%o;Tgg_}>j%`wfj=?4^_Lort>h?vQ6= zU)D5x`EWU#jCx--v$W}wWp9QTAI6{7*&+7bc%G_ZXJh@SgKZo>=dvy7{|^55RDyjS zUyXiQJzehiRnA_HoN0Vfo=V8m&K2yT`%lHy;3pqxpZ&ozw&M5M*@fs2egoj|!f||z z&si9>F&3h(1UWs|r^=@<`MiqX!+bXT_ud_fVfSNiP;(5M`-a3o;kWKdb)PcEJWI&K zA4RN-uCP3{V(uZvw8-@ddbkqb+p9YGm*|<-LW=&m)G@8eUkeQkMm6 z6+Iy zH`=`lc8_(~ysp-x%@z$U**;7=*+1pzBCM_}mc68@t@m>PwpMkzfM2Iw?=_Vr&+Iy2 z?ym9ycl5%)z4Wt-ej*NA>4*4i`xyJ(avRHfcai6{=j|7l_?|bdDHZDcglFR`DDOXS z`u;b{v_@z9-?ZlBGCJ%2H_^8pycG@)T{j~<>KU&nHxuExObqlzdwD+l><;s_g7da- zRSXmF*grY?dCar)j<4$syB~w^)I^J-4|5}QIh=X3xh#A9S|)ylezA|}=huO?wfuqY z&%AKs*>`l@@ut4gs%6TpXice6{<*wd;~D`LI4u|fw)V7G89XVOMt^Yj744uEd zw{*a3@1RfY)RNNIdT;80H*N>Fz+*o4A;yjmm7a+h^R+$m?P)K5?*R7Yzx2H!ZN@Z~ zpQX5Pw{VxQK7Mlc1(OlK%deW>`vuP^AAsCcU2eut?)ySz`ErYiiG9r1R$129qch}R zu-JU*%zKk+xSf5R$c3tn6B<)NuLwHH^#$n8_$vk{FDcp z;4zLIp7V&&d2s@d-v)0n@bWq#{}IO5;Gg%vKO;pR_-tdnR&y`Dnpmy7J~p1c82%9q zgF`#x!=b~r|AF8%(Ty0$^OD1y8GnR)mF0OZKB#q`rwva<-biU@>xNx@U+B5N=Ys5z z9&(bA-#o{Y$cJLh=Y#J|vN+=N+uTQcn2!PTsC|W*(|^OAGvO(iaXm(I9p@?4896Ny zm=S0E%{#L-v(v)h?zmt(b7Qi{{F$7MB=R%pHh(6XRbyO`(|*I9rGuUoWbM=jkLF`O zXu0XN;Nv=NC7T|<$MHtJ_8|07S=2#0@g>&%0{<3$)Y7*_&*x+FJ2$I-SAoW+y&S-{ zJ!w&o*R@w8?o*3?j>`Pqe!9C-cWTc>hXL1J`8YKXwzf%(emC(qxf%0cS?3HoF|0|Y zI$U{3-RJtG`}s=JkHvt}y{-GnW9v3NHsg5y(fd)1K^}Xi@n|l3_!wWgo*#CedD7!l zJ|ogoahBPb*5g$F@nbm1USjV%|I61TvAaLMNd8OTOLmBTa z%=VVGCujeyQ#-iJmi3k9Jvm`bXG?kMo}HYxe}LSq`D|LZ!H2Tn+J8e{Xs_NQru7K< zkF4X=wI;w`^@{wXdp>+vv^6Tvw8tat&DoUi%^|imyTy6780Yey!9DCL5BpuT2jo)r zO|UOybGcB?-Voh`(p0zHeW!BBO=av6(YcZ9iF+o>9e4aC^r;*KekU|+sP<2i%MX4Q z?v38zz|Ou+?6kD+4i-wv{irc+(fb8SI*X!wX&u&fkPU5C;PlY zoVL2HhLzyX|0d796sns`P1+#-)27q ze}eKq;rzFrD=yopHmX~U?6cOXV5myvUJQnRz%Zn>0LEISr^Ab*A+#x=_{&{dXY~=nA8c zJ?kmkGs%jCq5YvpS*X0;iJBc4ioDFT*fit_zUh8M+V<7=P!6tZQ|U|Pv+jrcU*{0P0s1E zZ>)GnTb;aHy=-UTM(w*3n(05e3j3bt-<&hD|BL*ab4B)_^F;RD$$?@s*?=JuT!v2#w zQ}~9Hi|1FH_n}BP#k(t_9N70m9h3GwQ3>A<`S-5yy#-y8O?1?Bx46zF4)OiK+-&l@ z7o_)`hn!e;#UZtSDwd#Z`!0HsMRe8Ux+iVS`7`Iq+5*c*<-E;*;TK`( zch~cW?$dj{buQ}@z%*V3&xHxxLHFzQo;~I3%5$vGrv07v41D$=Z{TCH9pzE6o=N?%5FwZq+fWFHeWNe+ALIRa&G+pkdu4_?zqRKLPu)6o^&;#ccMLcASj%=3FLM`jHah-5 zR?}Kh2Xpr>@UVR8cjwr=3_33;HnV*Z5ij&u)#IE{-q3G@(eF?4n`3d`2r)<3SFXQr zm)7&(7x^K(sHYrU9Uf+ld~^bQ{;i93g1LQ@qP^yNS2?Ravy@HJC$=Ksx`TE0OE*2E zRsrW-&=Q}E{2^-#zI!E4IrzRa$b|O5=W@1a7MRpEm?z8v^VkID zp|ilGuE9Juz%)8Yext1A>&eJkXF=9jPk!u`&fEAi;`I`;rgegcDc9L}<9mE8J$oqD z#mCZr#b@KO4F9X0-q5;1P9w8L*p@c3p}IDnRkP3tAHM-}78+64U@DH8X)f`xbC^A| zz)WK08DSC&n`<*BHFWj!&Os{OG zuW=2;{H=IHxisW6-3zODCCqnt7WX=IM_%zZc{%fHyhdNqK5M`BG#sQ;9EahUI~5ML z{|X%Z&H(va-SStGXL(=vx5d8do-a1ua$PnSV^?7O+jGhBxr`965|<`9sDAlR752S$ z)M)cqb8b)j6V~H*Fn`z$``yX!A^$y(-~ImkP<+Gw3|XZ9B7UDt{sw((|2Z=dZG0t; zTlEyfd%k+u@zoio`{iHpJfq$F&X>Q<`-zCHY~23a;L={};ikXQkxl-r=ex(eKl7Di zZamK;&dwPer@tx`wx@n+j{Qbul7gD z^Ei%5q)QSzRPAi`((Si645N|el<|$YAFntd&%)$31h)-VST`jV)BRjYcgM5R0 zch>t^Q^wZ!^F72jz9#pxQitz;zD>t77ZazjmMwpF{q8b&$zJKq2kTxIyS@ti?fwpY ze4RIq^)8@XahzhRSoS5_oJ)B=&Lme;&G)Z_el!;KrGAd5jeLk+?q=D*-7F?68n^St zfYatIr;YF&XY8^4Gt?e`p|UdMnu_gCN!q37_zt06@f=_5OKTJ4uvx!;C4K_;?=V-@ z$Ups*L)%zBnClhFp>-@Di9AotunXG9^18>Jl3VWf&C9E?9KB@we3={CSU$NpChb4T z-%&?CG}2tM^Z0o|cCznQChPKfkS%+@W4)~jNiU8iG9UXGbb5c7_916Iz&@#XJ}|ro zK)j*6wBRXUuX7BQ4ZGG<-o{-(x3dNoW9szTE}nfaiMP{dR~>e+a>|OCQ+O)#K1PW_ z`OMH)`mESj`b>RcN35@;TxHf5_KG{U^7$B!F|pxm?;T!Hxx4o!^x}!8d*F$&I9`L- zx=x(CDsi#tEyim7kz1DCkX`=-y1eDP3U)N^x*~r&xffbU4lhw&o9~$8x!d*CdCZ;4 zGjdbg>ACgk`P~YA?IOR}YqSsYo67~|dd?WkzvnyT$|=t% z|Cd)VfBf!F`&XMdkFs~swt2brWiaV0ndcOaerLeg5#hrh8e7x-eJ$3dGGgj)(MCQ= zMlAfz_ofQzfmS1K2PH?cS;Bv$Kl*ttx9FLAu8*7jyob?U@~8CvNA|DW{4g@x%HPZI!*2$U zw$JfZ-^KITf5me%KSG9$PWXv8#OI79KM+9`Q`C9F~dva@7})27sua>`$hh{awI(I zJUrrKn&$VeY>cOp&IxU8Jo_^q^5fCR&7j-yz}MZ4HYTr^KVQ%{`8zx>(p~!|Yz)+Y zMtm;1#WiMRW^5+j=}qvAHs0GCo?YNsPVj_o2MW)!<4HfNm*WX7=gjn+aqKyF`Z#_V z#{s-w_;bm^!N2RWa8iTj*zY{f9IKE9)Ev z`Xu@VMbY&iOkU@*||) zCw&OlVZLQ&)c$dwN5zv(eGav-70FyxQkqcCUc1RR2`=z8r&(v;`TL~$o7dRbv$1CjF^cZ}%eas4MT|*!8$96x|3zH2j`AGf zu{LDyIzop}>8!Nb>#l$UYpC)=@^Os$+zE$sfeqfahQ>I9-39M#ZB|n(vy=A{uR^Cr zT6E9Lh;0)64K8C&H{oaNZ_M#RaEkSs_y>AKdgkpkm!cDV@++s4?01#E)UVkE#;M=o zoP4rgl-lQVIGeu{TIrru?(u0Jx8tdCA10de+{T5@61~jle@7$6viVBt7~YJx>U7fh z#E;*6IWom>-QTJ^YLAR#=UE(UJ?bWJ^K07R^ELVx4HVbV|6l=r9sJ;_T4}29+duHW zm}hHiG*0>%D74ias(lCT%bcsaiuM|FY}b4TZu|QO#FG;X;VsSmT3{CVvFf%ggI{jb z*b2`_;`sfH#5v#~`gUtQU*B5K*Ei#`@6PaT{Iu5Tq&Zq(@yKL;2hr{LHgQc)&&jv! zVvVi$;^&V-&$)GSqk^Y-sxR3%T6+ANZ{O&&w{rAHEFV&NnSO09f^QP%&E~*muj(|G zjyu!Z^i95y@A!T*ozG)UPjS;^RpX+b{npr+3;WIZjQ4y@b@IYdhKZ#ncXiv@`aR?l z!n?1)GnQF<=m1YFs6xNCYpDg<*h~DVJsPKR$Dq%Db1s-1?yp}KcsX0=a=uP{8FWr@ z4zFOGUnF;8{6svjx#~@9-*Ccp`X3eiF7blyHrE&>d-*&g)9Kh0XCE8qkhx>NwO4P{ zbW&$FYVaA4y>|m!?&Sv0aQ3lkoa*n#`_P}Ae^X9mhW>WJzw#Yg_4hE(B3*^6=&Bg{ zucc2H@;~OyTn@zt_i!(w@gUEeW4S~Rz(aA(edlWEp!Mp7*`&=CJZtUQN2Imv-lgh? zyb!i@EXw3j-naB-w4caW`5qmTyKLERGAlisKsebur7KdMqA!XG}f?Jf?k_b^q=3ovfVb@F<>4h%VKjVlpCEZo&nwegw3y+{*tRLMsYIr;S27P@%Ii{BQ zwekIOy2GpJsu}03S2(C%7h^@{%nxeUUr(rG^f1^#2S1VilmjgGCwK-EK8W6lPbxnFexv|?>EJ!4aK9jTmT)3bXTI%#kTe03(cfUC*EDwjLfI<3v2^yP9_ zKg|20pGq%0w`wE!vS%gNceF|Ju7j=*z9PD*jr1n8?=3a!*4*AB3%2)Dd?lTVtQe17 z#cz0DcF*V|nTxr?NHfYRu}nIHF&o~{axBt8<|8Hs0f6lkb_y_lKJj{#v5RsNmuzV~ztXXg~UrTgx ze*A4W>6~54do#kCg5eg^f*hgwCHBKHb2?x7c;mM)L#UO^XEwJ;zX&?Udb@ zou+Pa&syKojb~5L?{k$S^F33i2c!urUi5AIic1vuN@ zHTqCL+Pik#N{p1Sumjr&w| z3%-o@#HF+a&!%$)$AcGljk34?W$cSPhdY~nUtF5kAda;AUU!iHGy9!QR=zvO?jagD zHb0-X>GT)>uW9Ggl=t5P4SLSqzt%x4wVeL`jQd6M@>hlO!zh1uTK>aO{#44}k(NKd zVsM^9`E_aer$c##@~hMGbGxj52jy3!<@bm3Juk^_enVP*)&W-kKPlgkmOmQGAEW%z zwEX_LR{vqj*Qe!gInc@oF{$t8@k4sL6J45;Xl)oS?e=L;WNBO$6{H&)K zoNrKma#}tT%D+naiD~(Rq5Lk&k4?*$&o?-qqx{IU{4JsU)0D4D%kK>3e@%H$TE6BW zgEK<;lC*pzl;1}AqO|;w1y=uql(YA}L5JZ`{^yi;rR6^i<(nukr{zZ^R}Jd|Ha`6Frh{h|C#ls}Y~zwxOC=XI3-Yg&HDA}jwr z%DYqpXKc?kh4&^VU{GPP@jKx;}MU>y2mj5u64^aO3wEW6L zto|vKeilbb%$F0<0;>omfs)BkER@*)}Zqlhgtn+QhsY%{^d}91m)U` zkk8BOmRS8|l-JVo?V(r{$jx<-ef(HEH>rWmf;ElwX{d4}|hM<>#m6BcXgJS(Q&8AJ)B^&i_r6iI2!RXw7zl{CN4Qy|)zC?b7ptdHuDa z{;#f_Ucb1`2YR+Pr`&m-Pa{t`5_4_JXY>$T%_Z-VzRM_C=Ns{y1NjcidsKiK;W9tA z=BFH+&g!b1GuET|8efaG$Jo|zT14FBIh-b(Ryt1coeIip{{Mwjl2;l|>7=|8bn0a- zrSc^3(H`BFG)m$$n?G_^tmB0kaDVbOn!A+^Iw7+b7mvd`mV-JHy!L1Q*h8TltK!nb zUhHS`lKca_X8G20YozV0d~iSa?2m zR(m{iJ}cnayzZ0W*dN|GIss0SEAkLpy9oT%Ob4yEjXp)PQLINyjvX`l+Ij;ppwVSj z>Wgpn$=_9)t~0UzsdrC`CL`s>S%k3fyg`$S=QM0j3%Qc5<>r0o%0sdbZPH|fHB4f4 z+Z#3*^FfqlJy~rF`*^<0ySVduT1Tec&zZ-zu#xjTpBZ!R4cX4&vUXx{1)DXWuwRHV zeFNAn$Jd#R&w0~upg$X5)GN$)c5%sY=blyTBZaTKYFffibi_cqcL*I}@X-+uBQtS* zAuEMG-a;Sw{vofM*I5wi{9y|`v~Ry@Pt5!7oE2uzE-65qU1+ zqC2;;rQwcF$(YI6OnCPMya!X>PvAE3{!;E|&aPZ0d^Hx~ewO9~JvYJqTFd*mhv=ir z=j&dT6u*296TDK{ytOD3sqSO{iSA0b_2FZn59_&R(?83-489(!XWC;p!n|lN!tb4# z-8|b~iKRjRa6Y5a?p(D))`Q*-dElt86-V~+Jnl!ZH8IL;FU8W(#(wu?;1SmCtH%Vr z-fUCSb>NO~jX#HVu{W?T_FD4S+^71$h1uu?cbIZViPps?>np;yy>F@;+fBaP?p5Os z>=9hsj60Oa*+Zhb@x2ey)x)x%thsBA&DNh@+r0Lq`;?XcwRLUhE#Mjd*LBY0t=Z_I zk`$(^4EBOSZy^wqJ=)n4b|}@O7ldcaBq@uTN%rZc8zk&4b9Mp z{3yXGF;{jkbAm_gTX;mAU&n8o&wZG?h;z>4ZTNL8t_4Nj>}v34CGxWR!{^#{A#!GG zJ_p#E4||QLCb*ASH0dbyP4yhYJ;l|F?LBbwMU#DL2QAZf!drVO4R7&u5pQ2J9CJR_ zeaPtT523RsZEZ^a8TvDyPoHn;#GEFtMGjZ_J{^r)zh#Ti2ljg z**tU+>t9~q-cx7gUD=eC!8_Gn&hDXK)Ytf1wND_N{ZVdCpI0Rx)_^l~N_I2f>?a_` zEpty;mcK(|Cw548p4dH@(qmC1s?~hU}(`3t3HXAS92+on0whrM} zqC4XG5t|SA$=)f;J{jG&v9o*QeTQ&YteqKwPb=`C+T}hLXN5%rtzpcF(+vEF{N?;- zI3?#n3@3Q7h||xxKhpei;Uxbt#p$$w(~D-qX$GD>IpPG*8cu~X9pc*}PTv$x@Ji(M zCY%-ooO)-&X$C$I_eV2c_}p+RoZo1L(^lbBcAUIjK6j3jcsj~~cslIQZrt@HUj8Vb zH9XXP@_P&U6UoSD&q#dPPGo2mavE(FG^t!e*)8nF@iMj9qWg}j``12B+luzDV{0qX z7vg!Pbk~WM8{u)vhg}}UYr?mRUYG7_;G5)5hMIGe$}L%6&kk$&D-2i8An;B3rk=m3 z)Q(pfy1Wjpz@Z5jwZAUW8w;r`9LA};lHbBXbzZ~orkrO#`_N9szs8ToZeW|RRi{c% zhA~AwZ2mRxDY+Cl_FQtk0vpHsX2RYK{1?3=0{V?bpBbB%Vc+$B6RqQk9`#kh#$o^D z(*}R`d(hPP+zQsNRpEU)_P$iXydB>)?jcN`hq`v|^Rm+SH|()@>+tT1U~2;mx4Wag z;G5UsPD}RY=RRJxeTG=j;H_x%Ve`p*SMt3< zW$g_*n7u&@@df78n78C!0rm#r50Iw|`Ag454Lcvpb|`)oZ%LPy*)MeC3&d;KJ$O7T zo&3-0Py1q0xahs6eKBvO&D7N|VNcB2TlbcIPfWq4NbhK`lD@nA9Spi3Uw07Ly`>i8 zH1nR`ttvVCCvdQL60U3T|3Hj)!L6dU^8FG&uFk$awY@90?VQfrmBT}w&r(NspPhj| z+AMtN*W_Sv!=6W6{z`Qj!v}Z=hU!*|_pv$7w^2{D)7UuEGTQee?TP1(x@+*y_~tJ6 zT$Z72$hFwng?L{Qb!3-(zt#BajiYu?0Cu<+dK;{FBe#^>-8jU#D=61_410DJ{V*oM zu=i8g_`Bw&@D``_-xgpUtg?j;G`4s9*q~pld!|&^ zc%2wc=j7YMBxcWHUNs9$>KaV^@EKvwPhh@n7MRpEn5>7)2y<=%^Tt_VQrBRz#xo<# z{S%n;W`RjvgSmeLX0!ci*h};Val`cYewtja4e!dV!(*wODu<%~72Pe2KH19{h<7F{ zFJ7D5i>m7s)zf_l`YwHUK)&hOA3Z(TA@fapgD$drDrH9(q4)W&9vb@S{#NIx*^7ks z#=oW?!ruSkxL*-oH`(_X519=)8*g2{IkdLqvbZ z$6+)B&qp*?)&=Z+bQ?Zy?=3Vs@Jw{b{jJ`BAGida18!QY%5ifV4@{#m`KbjPN8gFv z>C?N*opx%M9p|?8p2B_8=LC9}c&>Z4t?mo6DVA|9Ut;v)ztd_mdqv;W>7AU(6wDW6 z=kStpnqLRZoK8AhWPK=yRnDfe6CFq1?{4L5{d--&^JzNosCPY; z`|NqC=Fi{j-|zG9Tm5^Be}9Z`=Lykf+F3<>U;Ma9@^_PxVSPtiD;YLl4!_2DDbbg9 zwk8?-NZdmY-74tFT?-kz&J^P(*qlT^RQ55_iL$J-Z>r9B3Ez+VYj}^<+HUz#DywvX z6YX_Q*I=NhO$NZ@Unw)361!kHCH!5F=Y6Di#Jh_FU+4Tw-xcNV@W%(;p4vG%)n{y+ zW6<2rg)YVy|5M|#v4z~@0@*p%ffmb$BrXYixeI=g?z=Tz>$=z883d2!^TvGUx|ccC z*;^m|K`OSF3ZS?#40?dx6QGAtabOPybY7x)-n=u^Y%cKm49SvI~ce#bOCHQ+p@ z{$563x_jH!6TZbgB=|#BY=raB~lU?c=eVt?yUOodG&5$QJ!aaU9@bNlve30yn9cvHbqWxT<> z=5sI<-Wxu(z#izNa5pzq|QQDeiCJaa#QUnM~LIB0jR8rgxyb>OO4$(X~cXbd7vjvnzov1982(%-ofPTgcT! z-C;N-v>$Ytw)Np%jXRb`qFw;E{=)-5TAf5kMjVCz-#>tkblWLB!x@#t=PxH~1yS~+ ztc&*ozM9V_y`*xj3ugEo$2zV4oin{wj!$CWwLbeUy%!nOS`K*_D}SGtZ}D>E*vfAW zxfR(&v)Axj-N#El!ergxP+vS?W#md?j>pEw|7hzY9SpYP>U*I7KkD8-&dRI2_rCXR zCbNeD2>~R8z%U}RCnO?83lt+m#>kl1LyRw&8iEv0Gf~@^TB|v!4RLCnG`4bU`rvyY z(YirB@|>z+TGK?SpWs^$i7zod_HhQZ?jhO}>&s#KFmk@XYpr$fb>Fl1Ks@d9`8*ZS4`?}V();-Bu*uBR^^I#5Yt4}WHj$nx9bnNK`*e@bb17zxBjyZ z(^JC9OUSb@8ld}32YOrwS&jP-xE6o>d&%Sti_b2Tj~{n94|68Qhz*EjGKy1&`+tJ| zw>7rtWw>ql8X>36%305teu3tJZYtM0=PTc7;?+8HjQm^k_=+yS6?r>$N1 z&hUYLH-ACCfYuYH_ZvJ^^Sonqx|7K(;Z3W)O^*C{)fb&hhqgs;qZiS(RwUw97^XE!Go1$f^KT<8k!IhZ&Je9hjgZ1XDAoAO>| zU@e{hnx$G>tAB%|n>9!{gIFIlibO-GYKJGjChxl0NwuXO#e`o(K z9)#XAyesbpnjvHI(Q|&cp2Op(KfpY7Z>eG`ma7%z22@zniSLcKz1@uIs`kVfY=2XG z3qk)E>)b&d-dB8D?}+aq_ewYzj{U;D4PP$6#rwD1+6MW#6<oz6!{h>^+Xvb7@L+`$7sIiC_aHvMmH;4|(TGk=47WZYQ5 zFCNjj=$X^;z02Aogiq`pYgH;Jcf#}yyc_Eq<7ae@U=WXKP6m(oKs?>i*aKAT2EIB} zx`~*VKoDPbYQ^KaJlb%*Xl*{Hyws)n%$H9feJk@7s$mm5*z` zJNZ5P%O5ZuaT&2a#X#8mwb)*%>#kM3yLs>LS3l7EHala@y_Cf7>DS@{)K|kTaWr0EVIwUD81Y5|4dowXYYS*u_dM!-=@D|p zl-KI!4&3G!HtTB*vM)Kr2hupgSr*%l;(OnQ9{KfzY-=a)7HZ4#vYbsV#QD6f4fA(4 z*RSi*zcJ4z3(#%li%-jTCcoL>>A?S1zP(X?)X&-IL>{QP?ryxm*A{&ea5 z-(G6Db?9foTzbI02UG1or1nGD?$0{=pg51odBL8F=Pah9y57#qwy8Yu+vxISazEo4 zd~ZX4nhm?&?1Er$ymawt;wBc?*+0ZH>DZOfb|rRpRSxN zBdYwmKSl zT8{DFPt9$NzQQ-}*`2(Cm|aiR(OYdsDa-4S7xV5Ze;0a-b$W=EHRNdNDd`dIt!m!d zTecWoq(=tA`@^;FM)nUJ`EX9&ln)+!*g=nn>*y=!O~(hcWgVfmwl~5$U*nmr^?QQ@ zVV@G8K56eWUr2grKQO7D%Ji)@#=Xef7R8~g99+mB(=+NM>+u17J@HiAhlR(@-3j|c z#$&=76uEb=cR?Z<#)QIPy*D zN3j|4@&59T*w;Q(y2Z(~!G``6j-)$HF95%Es+C1LHPA}7RkVAL>D6exJTz6WYR$5L zXvyh&{d$FWWw^bREViZp*SmOU@JX^gkL{;*HpArSGGs+^fL_wtVN7~Q_*jW7qHj$1 z`+TGz7sd;7e7+EMB=?$w=oa*pcv*Q<7T>2|z2n^Ro73+n@vVYCR$3w1y#7?%b$ydB zVqeqc4_<$&^it6aSkMd2`pMd3BjWx;c^kUDS$TO)-{f}~M}D|;%YNSBYwIPAg+7p; z%#|UZW-Gsbg~ddBzjQ_Bn+Kkgu239a>kOOA2Eh)WZlFKufcV+v{@LXoZ?qj#9pU|{ z(gD7;ye-ke^RRd}rh{nX)&-GH>5p(2Xm^)mjmj~#@yYtSvv2DT788>er4VRx@6GHkI5@`g>v;Dg)v@?pJ>IU3>`lu4h+ z&PvC~C)R&`OTTFBwjR-R$0_0scf04%1v$1l)HOX5>N9q%XH=&mouD;^_d&IvQjsqV zUjEkPwe=nc@5Dh?i7_CvW30P!z90CNE~-e6c{#0y^(MSIMNXMxkE7=)Wa6~eziQvM zvv2Y(?6sL*lV2cSh9ATWvZ)z=)868y;$?6Z^YTC#S9;R;)%U$w{lUwd9lshsF}B5V z#Iwl1>00TuX1b#6c~ts=-)e7bKH5oV z($-JVL3g}b{v~m|>5A9<9bA7o!g1$(4{eSA3Zdk-v;%Q(W2>yldD|;>dqri}Qt_cDTAY{X+yE}Zoc3!Rc{?%T%)zu@oY?< zhp~c>pfhNOYh*XWg=EXeH#C;;D12lxE`Ed0#4|?wl}T2|^oy6zjPAa@J(Fzmza&0@ z?_=52dfJWU;9e+x3vGd8TK>d#Sgc!i-xc~wGX8EUOC4SZhW_|(eRM>9XdbfP&_&OjJn&q&?{#I_dbD5b z5%(@X{CvBUBG_p5QSkNsJ__GKciH-c|I%Idj*}=3C_Ah*xOCS6?7DnFd*7ed4Ct-{ z{U5S*W@cl&?J(aSJ(hbO>8fut583O$gMr7~9*N&KFrOknPS}ev-j@%?8d77GST`7r zkX>N0_%H8X_wR;i&{TXOyT8BxdVCk>lN_r!yDr?C55YRY_(ir^Hev<1mJN|U6(4-O zvG1^tx?v7A&l~C^#H~d)>40n<*4>c1$}9(G5m#Z3hSLaVFBk2Dtz1l>tV_n|FYsm< zU*)4^&zC&cZ{w*lziFpFcsJdtUg&oa`t{!WI@Y4>XE0XQhuTqB?Z(ufVnXOA&Bb6q zW>v29BGRwsXR4mykqrQM`fa!YUtv8U*wkLSIN-7#bRFgLVP6%z+vJg;_QC;3*L>K%!#M?`DEXz*%0*)%UhA5r{(IR)AUo{=A9@vjS=-yr#tA6cYP zpiQO^#3zzb>dQ73>zjR29WSpY$1QlP?)f+7t%0a4_%j+K)|u*a^0w$begEFNpzA+I z7wFE?SQpfT9F?_S>U9D9l@!G3=as$#b+)Tt0AkE3!LmJmTtO4d^@c! z*?!vUijR;3@ljrvY(Fhoe4r!bVC3~y44d(zbPBNMbc&Dvna=P&RLldz+1)4f9qCrh z&GrNe{@^v>D8OtwNU;;?HgC%^S(h(@-4T8@o_-6zqu3ymcW`tzePQjqZzu)2I4v#0(9b4G%^LflhH|b^OYV+(1^K|y+U7k0xc|VM;YGngj(9~=I^ANme zrD-{$DZh=TvH{ZJ9v9Qu0KuucYA4!RtV}jQHbgMU22lS0R~pL(1YckUv~lr9^bK>A z-MAOsldToJUJ)+z$?4fbTqKSu<>E=K>E+)T-*hx=t?g+NhkBRzDm;g;s$tJr>(<|u z?D)3Zrsf+brQf!Ax5*kblWkL+Xs~!j)Y}m~H#l1Km9?utZ_fjYX$9M;IojSjuqD7& zoRjLRU6nbR4#zfDmvIiF$#^ATx3xL_+()}B*6&)Xv#7y82ztuo3m=}iO2b|>=})*& zeb{&f8Z-V5KtvEdzFiTf8Us$;&a zhcAvxg*+4KDZSh3IC$ZH4qH!zHG#!b!ISmBFhA!at&J|&WaZ+Tzr4M{4}pi}S6RCj z^s?9>^BnW@6%N(L;u!4r>bs3^;|uX5Fe^qZ9#=f7hi}7mgbO{-{BG*l9xGi z+rPQ|NX7JP{eGXY-|rKaEN*0H>S~L^y1~|Etg&pb?=Ueb%LkBt7H!4j7Qep|A9-UV zCMe#J?_oZyXdB`{Dr4_}J^#bjPJ58$!XD%bo&CF*=ZyX5?z!!`D`tB?u_!;kmhF37 zd%>W0l#g%p^FprjxY>SKdyglMBOValev(A)6q(grH6PQJ52M$;&#%~5E-u`{KeRiI3jU$#)@gixjThS?@s{veU*-JFu-*~x znQxBY$9)iXSC;$@t%X!y{n*-Hx+l!xUp~u;sWYdzCHVl6TPf$PJ%bB z@r&~|orSIl{G#WbtN~TO61`*3+9@_bzrpuc---=bT)@wz==bl3SKtp9|1USsNA`RB zr`fxi(B8B5ZuFh;4t}2f_xt@JZ`^c|a-8D);+@ieE-x{QIpe#ahsj0o`L02a?9JPG z$++fX`#!$D@fzjEN63)Yq~fo8@hy_!&E3jP$b3xrYao-m?Y4I&yJ-7cZ+7D=KSKVN zl|^>f1icgy*Q9Ebpm@6*Ksx3f3P+8R4qge%hv z>@~^*jDI@Ve12{4`2@pF_|(gErkwGVe-y(d zy+6qFM9*1Inj9kogMMz))eW&^^QZ8CjE49yYNN6AKW_iJ;@NiUHSm8E>+5b_jgwfO zhiJ49JRU~|p2dA4#Xgf;8a^BRXu3EaOMIpNHVKAl@I@@b@iTtKaOg+pYJBc}J>&(b zOmwGSmH6LsKerNa#N+B-R+CX|q4Z4rEWl*<+Z5)mdg@EMOK|I4k;*jBd>_5GN3U|# zGkGfXrE=jO+my@S&fQNYztHc8lS_c#SI`IgAL|3jIJU&U7rVJF!C%SbTYe1h!#4Sj z{20pxK(;d*BEJ~9H@-tp!iz>ry+6d}jjqhz#ogs%rqJ8=hoO<9JHCL{_O@;dIa+JH z&fbE*7{zNJuHjepkQe;wQ%SjsD(G9K}xz`d$7*;Onek%48z~-;XT^*D7Ofx`RM_Z1HpB8Eir< z|B{Qio$dR2`Or9mCw?wD2{Ke{t7k@c$>IAw-QN!{1ReL6zU(iP$!rfEUv2WX^LW2p zDMb!Vu8KL@%8SySyE=n>W+nGlF6TqeiRFc13p$kxRPH>;8MOD>T}2(q#4p!#pAhkP z)=FlpD}{Q$;5q)7%d_zEF|fqThv?_aY8SgQTeBUBayzkM@%e#@w>9RIYu)7XGwn<| zeCG6{cu(NoK+sF4J|or`pmUkV>tk4YuDr2>CB60Xto4BeqiXshdVnv z@2WC?`O8&*&%ND!B>$N?Dc91iNte3Z)&9briI1_r6Lf<5?Ei@N1lcQee$7Cz1JNB~ z_O5pDcygurdDgFBiqEL)o)?3YbLy6JFBo+m<9^0F-_t^U`f;iuhZ0>2PmYkwJMli& zLijv~S!-qR1fBS1#^c;Q_jm&@Yi^yB$FDU!D4#}cbe1%RQL;D=%$lF>An^5XvHTmx z6b|dlX)7EJ-5?&AIJw--(P(;QhM!YfW7_=CiOj)ta6QV=v9&n(FY-*7ZW7pD<>T z27)ES8-B0w_-T0M5BX>hqo%X;$iLNT!aFr@6DxBX^;DNN*~B8`Ub-ZV!8&GQzRJ)A zR)<`&$=hDUI~M&Kp`W!RYsIlmtR-b%Soc}(7T-C0zlk$e0Vet|8iJ?HPDrQ1E6UFl zPOw!jp9_A`{j8LcJL&lay+wQDm*F6HR>l}Q$HhE!HYCF>ysFg^voqfriQ=R2G{BJcJ-c9T(jA}^zsr(Hpg#*x{a-o4f1 z1U{{KKPkvuv2JNm-{hdKvHh_-ClS{R`Ol>VeJ*d=j}^+>D9>V?*y(0%%?6-*Os3!L z^ojWe*m{czfdj=pWozG${tLVeZ)W=GbDplbdsNUNz3mOW)xC~27<$||xiez;enmg? z4<&!nMaBBOFURzvo-K0tjo-Vf91DwCMQsC4k|jI~xPY!+2X$G0=-9K-w1^Y-(C#+e z8ISn2ci@p|{CKVw@AGTHVSo3h@=Tk~m2;8G!Hb`TxrjGPtix@++H7wC-|hl%_^bA< zHU4PiA1bb+eO#L_yf0prE=gER8ISPHVm9Enh$qhZWxNyH}pc#Xv$_^mqxO6A>;{;#8))erTg2a(C6 zUZ;<%jcobsWaKihYiu8(OnX1)x_+|;(RX*JhY8$-b&d=c{{ zEQUsZp-izai=|P=VrlppRwjMt%g%sDgD3JqY5{(gb@rKUs0&{H3x2KJj84p7wpVwj zW%r259r48SvYhT-LEh~auh*dKK$xG-OUifrc*8!LEm@W5Jf`Ivnk^{y*K?Ns z@T-E|3;o%yy}bwiqwtNk)OqZ2ZvxujVY8`{yO}uXx+`FpxL!?DRYM zT`c%DhWCwgV~9tl8zXu?-56mm#y^sUcIXZLQux7O(bx|+@GV%6uk3qZGw-13;T<#< zvmo9mU7>d5t@>1AXc%++DktqYGcNcD*})KYe^&xQsv2#eK$YDPuK$n^?vx4|DF8C9&p!J=j-ppSLN*dMRokgQTDp9a}y5$ zC%W0>hB(8-EBP8R$(uXVE6{uwv;IBukJqa@3H!+~!OMrvl#LV2hzxk~6 z)oSm{^j)Ek@p6(@ONr_n>)Aaky;frazu{_lWjco5`K8Wbg|fS=>A%JQ_w}Z~i2r}` zlJsBsU+?c5Ia#h89N&bTvgXz}moQGXo%1=nN-28_=$qZww$0rAC}+@~+;ws(BXdvKV$^ZBRG)t%2*bKi5>$M7TDRPH`C20oo# zhLa?-lvz*TsM6O5y(rV6oruqT!i4(|;byz=@t!0w1%U z8uWg2DeB_{^^uQ}%8X=ntuOllX#7!oC$n&2|-u#&Vz<;$D|9mx!<;H)q=WEYO zzZJ@gI(HKLv; z|G7OC?JE9G`#sn>}3O1L-!K7dX;7 zPQNvt@y@$urN0B*ii5zn2dmI8;3~i;eV5%eg>AFnbJ02IIQkw@E{m1PKcZat`RXs- zy=nO5O>xP)V~wAt!}qdiUXSow_%_&?(E`+_nqz2ZE^oiXZQ2_YUFW& zA0K%b^y9x9I7ex3ba?L5QeLKTxBmBlN9`f&F6n_z=6PeE^J_L@i*NVq(cAGA=$AWV zz^}VYq!#imG~Nnq@$L94;XS9iH*g)Wtb-3P$G&g$_FaAUQ(yiK-@UVUt3S)xt_Pg} zOwSNZ<+g**1Rmkm=A<_C*IR1%MV&TI-$Z+FpPjv!ahdzp`CErKuGcP2?^=saUyV)& zzMH_E!3AC_ij{#U>-Pa!P*nRCS+?P1E%C)&(_~tjZ({j!9UAhUp5X%-! z$o8S$-c9K^zNX-lZ!a4oA5?H0#~vFjv%1qk!Q%UU5&ddUcnq72Ut%`rIQX7A4(Dt9 z+|{@B^#|SQE26&EdY%Y8vf9s6@r9Tli}q>@eZaG+-hpxY<}cPBD)0CH{$7_%ap%!S);t> zc?kc&?)K(#%=u^VvmYeaNAyyzPGv5-_OV91$NC=YOb;CS(BYX~?%lJ@@2<|x=&#l4 zoAbi-k+rvY^2LXLto6bw;DkoXCCZ*}cnbZSZ%hC5leLffcjMC^ay$_H=g1!}&iCIW zD_zK!_bEdg;rY(FZ+|plUOVMSe&@V&1~ii&pmF0iq0fQY&ZqnV&nqQ#??&bdA5=hqxE` zG`4t!+<;Tzcec)n{11!Y!pDL`ALBhwTf6%`z@#>QZ76?7d|z6$+3xoL6yw>sr3JEy z+fT_a##g?!zShrgE%p%^$j&H>uYInK>gD*d!1oUJ>kmV}TPlweOPQM>hunWr+Rb~; z`X;o;^e2p8gk5}}@#Vvf{qdZPQhwC)0{NZzt9=vuxr5ngQiQ7@FBx1*3UFa70$ew= zf-A^I5w6QT{hPqG^L#%?@T>c-9iAma+(8Sz4QB9cdLF#r$Na4<$Qgc9n5*d54Q#qY zTyZDchhfSec;Gl0f1Q;!n~TrIILCI? zFHP^#I4^VK+(i4az1Z8W{HLt`Cg$6Te)4O@D)!sj-F;d5wy52!X=m~q;clF^alAUi z3FVa@d>-L1I?I?u@#?^L^}qIWg)W+VasJXb~yQ( z#zzs}F4KJRb&mJ*pEAw2(vD9^pEJ?@!ePBU)BJgB|FdVOo1*qhnzZknn}^5ReROrY zCTcgQS-S;I+P(Za>GG&usaZSL2J!rDycuiK1yQ@7vYyG!^JeJ!ygRV*$)3v2aw6!lO~<1C9xV39e3C1j53D${&EeSE^qWze|3(|$y*ZKmrr#GqXV!z9 z`f`KiOA#zRvvaT*Z*9!U>aktJ&rSbE<7{+1^*+WiK2@JDZZQ_+HrC_OSf%+>$6~D! z>4jsvUh=&39*womjrF!@tj-s2&hdf4y4K6VHZKSG|Aw3Me?9$k^|RLX^LpWP8*;Fk z|C9+&oxhpy&)Plo>*?)LyX{TdB`+<|;f?Fk-;df{)1*!3<|boR*Qc+I+Fe1r`s?8j z`DxzgK_9t20P&M@px~#9&arghFZgG|Lk@@ES)cwV`dyDc$@=rL-dgBScl<82`1R)V+68sQYXg**(095dl_1-zU5&PS5cGd_|$^bDO< z+7s?A)q2bJYh=4vznQMxpN>U+J?LW^CePP3_|15pJq&{fAJugKLJ!YtE>DlC590K~&3_d< z_^O3va~JBn>0zCQ;&`sA*@Bz0E3UJYcc9`b;NNhD+8g z5#K+#Yep%(UG3*M9BvQodwqN4t{&nY;CQFjWUnoys#~SkwqB3w|zS`3$^YMp0(i7-4KKXe0N^pIqJiics$j5fW{bT0aLND##vEr}#;;c@V#}dEDyffsL6mk9ohsJm~jVn#a*+q+2zQdHH#)^79C^g6^D6 zS~}%E$^3eB-Xk^n&->ZST+W`NetS6<{YP1Ijom{G=;~y${xW!;HHp5nHEO^6Z*sfI z|JFKmBfq!6d&mdzGxr-_B;GSo--N8;XZG+v=_#e(l`qA9!{{g4(tC+B^)R>kJzf`s z>ku;;y&Aj18mEMhZ2YtrI(WS>PW`ZcI7vT221mcw7W++4?z*^~CiHLl9<&)}AJO_n zZq;rkywlkZEr~r(Y5Spa`jgANUIYhY^!*R)Z3w2y8r}!#b?xVt8nW#`x>?welHV?si4K?3O6kC3S73S1S{gc$c ziuzAb|Ef|~SMTGmbG8EeeboD7&2Satcp%8maz8%0=p=kJi*?6UZ=3bORmA7}mXQ_6)C9i+2LVNHzwsrWVVkC6FGOUcBl_GID`?8P$no7lIUF!>>l zrG2;Me7}}B)1UmodFj7gn%r&ogcaaZo}u1Fa*2m8#3G)c|5fyV3H{3+HSPCj=cV7F zU*mV+lwLW^dyA&SZS`^YE>5EX_^v3Hc5^Z^msnC$S%xmbZr4MuQ$Kk4tm9qaJ)F@I z86c0WLA!816rC+U$<|pN$W72^0T(+X>|k>B2(NxF*MG~+2> zPjw7mz|jjFKeBN@X?bqr=;I=7s#|$UH_G2si-3+!LLs$0wCoYAqtDx&8z?Sh%4By=y>1zwL z-7MNNRx8}=j6jev)`l5v|6FlW_+uwFT5;0V^dsMU5c~$4UG%*N82e0lUf%a6e=g2> zHs2c`bLJQCc$6HX4}^U{a)@}J#!Si46L<2i4ZVNE?p~$tCm2`!P8|M;lk>ovucurh z`Br+a@;ZL4Xc^0Z)?&!jdu(l3U7B7DjB1n1_dKF^yDwnR{pp;`X;0%hnqRUU8w0&F zKcw6JH$P;t`<)P%(s^gg_{0u@dWUjtY2J7 zf4U04ggI~*|HL;>pV_OkJgl=vIDa-VO1ag0S0x>f>V2h2y?QtH`GGz=KOgp!W#6s+ z`JL(GQTxAX)&5H@+P}3k{c_a)V5|0zv}ixtnT|y5KhUcEms_+Sn3*1k+W%Rr_Fr$& z{?N?y{Zae>(yILzTC~5gE4?#n|GHM~zty7s?ymIKsQquXYX5k{FEhH;yVBQ3?OxKP zoz=T$R=P8)cLnv%CbO@m{^V`1WUu}eoB?TfIcELmArA|YhYJr(md~3i58{9LEY5*7 znb~|EF|LO$ADy@R@}!;bg}X1;p1a9}Vvs)Gm-$M_ruNg7$CK6Zae`21(ATm2Phw6< z$>*Lub9VYScl(?sY<{S3_J}^skBRF)XLkBuo75lh{RbTwzQX$^;`F2Uor5et ze|DM#8i1p*|F^X)|Kbua^VEB+Nj>2tNejGiXm(nU+I_iIyT2^7yYOl0KSu5TwpF|L z7uxN9TKcu9-KSc$`*5LM{b}jnMeXis)oy>G-8FO4Ls7f5RlAQB+8v&g-W#4T zVlsh`DF5B;$h%qJE-Z~4pH~{GzngO9|GpDh;&&!XL+-!j8{Y1JYmIvwzu!rlD5f+J z&ZMavKc{jT@ppb_aV6FfRlgPxUt4?X zm(@KCqxU>FUi%)~we0+KGkB}d^L3F?d^uZ7sV?Ij>lr*hm2Y)9^};w~JR5scGBJ;F zM&CrP0Qpm2tn9wFNBemE7c8@QruqhlU)NTH&wo33IPk)3eVmQ?!DqTLKjg+-&X_va zI~vMA!c+WG11bDU3S=mS`7J~t;5-{UT%(VN|T#=en^C@1XrW68)9ibqhc zd41d0k0wRJD}}0lgUFp7tc@s zkg_`e$L@!YJX3$x&wFR2(EQM@=gd!EOPw?S)5li+r>C1_+@J9>9YEZ1{C^TtiE`X3 zctd0sl|-GpBds>t5~4c^;4F{r$T_%vE!~B<_d#U&{ZCR+_igsNms2beQ$E zsG$>TVJ#WYZwP*h_b)Y(s^I6dtmbt^btAv%tQI5W)q>8Y~o+a zx6|GTV+Xzz5BNQ;L%Y7VApP3Pse3^+@apaq_hUdG+h+p~?HTCaPRVK5FUa-z!l$SA zt54_{?~}dP(<*ltPXE+*0o=Q`d;NXOyVnaB7E97Ri}zQ4+T|a*_m;8m#$4;jwe5%L zH@sb2`@QuCmVa-((Ga|aGxn0za8J>`@{-e9_v(M{JSH(e{mN&|{lm1W%bS==Vm3;St@dVsq1T;oz~x znp|saJ)c4QLH|3*cuhE0KC*nvxW6IapPo1CkLOu`{LcD2qWeX+XYu3#@5^NPga5^w z0e?k0#`v41xPOMfnIG(;-2v{eG5qc?8GaAAJ3nmCJdW*GXFL6w$<9Ly)5&K|m7T}` zm(xkP`gw{sK3L1&&v?36X9dk2Q&^;((t^YN_m zJe4oz_p47GD06<>#Zm9#%ntXvEH<5iUNZhgf0$2Q>wooO;Xjni{_Hefb$w{Ote&zl6gI$v5_6Umrrxk{zTXx()%vsxk)}ly--ImO^IIk3v)P?CAfJHh%Yu6y3 z((B4Ccu~enR}sq#@AGu;mL9{_U}r|8XL~y%Tjga=_e;&E&pOYQXHu-&$=x!Q-rf&p z`)857R*`9FG$MJFtn0Vrk^R(>%!ZYtGeCi-mGgnVt_400=YJ>*=YNFbO3=}ibB+)m z-VXn6KNa@$e<=S9oa^k9?j>lkA9GCmLbe~{>uFCxdwlW-PJ;J7bmB|UiC1?f6E8-7 z&0gXMNnhl6;$4f>u|L0$v*_*qUwSNY2)H%da&nJ#L16f`Qzb@rHEqZUw z4a{5jDRbXPuvbG~PKAdcv&4QRvk(6CqV?_$Cf;*G?x)$Qhsjm)`b~G+n_Y?W6$bq} z$Hst1B#*VB3ytSw_oW9Uk9&nb_;%mWtFqjm+dE?k_x9$Jj|i}xJf zh4U>Q=SL%)3+ASHUDS~Ouvczpi+UYSdVlh^Z&b*$sFfG<0pIY*fin1x-T_`4TIBHk zS@%qPy5{GsWUto88jAcf7~L6Xc-ZLiuud|4-Kj`F9+LlJx}Wuwp0Q8BH+YT4^Sbnq z@`piCn5Y=QIfh64|j3o?@VX{2cAGzpG5B) z{hg1{%FgcDRlPWU&oiMtK13{IzvpQ`JPqyNA-&Ll13qY8PglH5OwrTeyxIaM=o(K) zhZDnx>>s#`b;e5OXY-N`#Ew<5W0C&ev+JW5r#CPkZ;>?!HrznTq()^j?2allF7*Ddr8Yp*{ z=B3PeUs*o#)aO0P?nj@=bH(UtNAQc&lHCVW^KziF`c`)?wN`#L{k!{aSZiINGoYRD z%~hr3_bYSnyh!ylKhE)UJ{fpg^>?*D=ZgNCwm<4we^*ES740-IEim}|Cg$<2yD+{R zY{Zeqxn#4#HNy`qV+r!77)e4x9&uK6F@XP4P$7 z$2{UQuRk=~34XO+C|`Wo_^3F3?4t&KR<<_&%t5z{g84kZ46c~#gZ<|KYiC1dP4_Zpe2%4#Ju@6pE_sFrH$Ycg z{{|glKCk=}>PT;!zE%7n=!t$mPvEKPcQ5U=-VXl9klF0aPeV62J;J=q?xIsom!K=_ z*hcA5`P8OUut)LN_Uy=x!@2u>n#A^OO*FI=9pv>_+5gr)u=M}X4QAI}eiXkWpFG10ZH?B% z`3x__FVN041FG;`h4Dd2X_EB*+NAtf5c+r1k zUw5MIh7VNdz2yJqV|i2a!uIWAt=f@HtP$=y`j{u{J%gKX=5drUwLU$;xPomN{AhFZ zF`dAd_X#%U6T@~pu*ErF@&5gpq50aYKO}iY9vPQhbmVjlAH?JXdC|A+*CR8d{NBv` zl&|?qucgo8*?oMJamtAu+u42fjn4SI&Yz91-91v@RZ7FV3+iewdq;nEb|1N}^jcXK zpR_puOXWJjk6fa6YX06#*7Fl%^rv|b@zI&miq4u)XV||pPVqANm|BbX&fYB?eYtVg;;6SJaXoZ}JG|zFPmmE z3oq7@FP+id315kK=LVVG;^k@!G-7_rKMyinU+QHRSs32}Uqx$QlT&PCX#ueX$*In( z_xZ_^AO7Xr6>;>!kkzRk_g~rWfxgS|3|16VbwU;c@ zpUE!K=Z?=zwkuvYDPB58|6c^gBjhU_#c!{8*{(0}xX>7qZN8hz zw#Tt#`>>BkG#g*KyNd1}y{94T{p5g1)}ISc)LP)F9&*VAhhz<$w32u1hVfWkc)AQ7 z)q&68{Rp*lxV)+H9=yGcweNt&-;|8#>`T6`e}^A^)jSUm`?_H-LhVFfea1IgZp)q! zpUCEo9GR^`kJ!A)jrhf~TC5=8);9V!!C8QTjFg)Cy-;di|93SI|$z zKG9EKrOz-&(NKCpIw~$VynFt9w{%n!Ia0hw{0kqO|5ptTQsr=5(Pn3s$&M`G+=z6*Q8HSezySDzT4T-xFW-<9EPARlLh{(Gp*Eq}iRfdMDHg=~DPddQ{(G zjV=Gv`e5$rgZVV>r3Lm(2C>iM^LFbF*u!;va`8gtO3J#etoc3gejQcspl&;O1;_Tg z#P7xYMz@YHrhUAIifoJBRiJUCuNLO@xA9#^($IlHS9bKdJzVi4`k>3vEpI=jmro0P)b65RP^3NH| zVe18OW_!SaKbGhDBj{<<(Zs<_NAKxL|Gb-Z1^gJVD{gx7%wD~_B#ay54_O&;_~VQk zx=?u0S*jT3zXRq^@X4=@+&V~O9ThFc<{IyJPgI~c_exFr?^37x|6~7u1GMZ{p%cl2^^&BdvPYgG5=j$Gq8n2pKp4{AOI>TgI_xLsT@CxVXp|7pc zz`by?AAWgmqV?_$yT97#48Lfd*o&O>LXY5Ig_x4zVuP2_&c@wPDxXQY@f*17?A(2A ziT%em>f8<;Lf^*o;MML?6VIqG8xNZL{-h%$Cx*L4{(Fi4?n$hE75M1umTFIuyNeS! z0*^D;ziZ^)XwGgQp0zjQ*&cQ@mh6ahqt}TUpAQ6?m)@UC9q=Yw_8jJ;`Kpa_u5Eqa ztY7qx*2C6sS3`cXepS{<9pyI-8fcUc$sz1UZ* zo6TkcgW(aKFTNLl2Hp(#R1AW1SR=Rlv+nen!LR$+G)4lv5BWKCGY9pVlbM)*%H0+p zGu|l^+tGb$&|ERI&W&z=Ry<)g;|nuV!<%?o>pIp1(q+RQC&I($80!rB-ryi^afjA; z`{t%My_5V3WFp8;9oeV-Ph`_-7bNSRKo4;CcF$EW-IP|6-=CpBd@Z~4IP1gf_PXyQ)IH$qvhUCsPcakVhp*h4Ai&}G zq>e^?Jg3c#C4au=;Sx>td2!rllkv5_7y z=M(4=+V}YOwWvKW`ZIX!oq}QBzWrb`d^CYe_iPHTqfx(Ki|`cqK{zr$#M3wQueNpH zR?m&b@I=M)T4`p2-{d9OCmF8oYteC;9w{PposoJJqD~q^B#T z4kt&_KgjAh-@QEr+u&`ZRGS96N2_*lGL5PEXzz>8k!Hj}e`){|N8Cf!8e$hHvSGa1U~<=!C`vpo$Mn7zg@m+oRb;gQMt!Y&>yBNrDHve%C8c?*ZMC$ ztl#2a{gzw@*q3Phe#Q1Z?$oDn=i>~#@AZ^$R|0pR{i@>N)EffF!Ws1fZ3aDUIz=1s zC;e;lk(@FgemlJ-AD>u8MY@ObLG+e#E|nYa_TkvKldbS^=g@zE_b1eg;r}uJwN{DY z+&c}N!yeA>(Z*;G?-|bbHr76I|KFk>;%T3lw*p*);8g2>wHfxmRbM#M`kvU=DaUgQ z($BmD{DFVl+Y$bn@WTjg?YYqbn>X9pyg~Tk31r)B-WL{6v3X~R*$9tS!N70oIe7Rj z+Sh!!;8g!1#&c#P{yZ|2a90oZR`-i%ykGY=#mdC{qIcM{3bGscr9t0`M1G-oW&!Zt zrM(62Be{(GNEAb447>AK@=LuQ$!~R2nlz~=Jd%g#-elJubr7Th&guQd|ystH-!n z<8T#tUUR4xaG<$`Ptv~o(YIcVjg#Lb`{vJtg)xKgs530$L9;#W($oI8d=y{_HmSbJ z|DH>oBfKw>KC30_a2K@wUV!fkOd2cU{tkV2&y^2{K1P3q@rMIVd9F2JFSh3(-&bLK zy6}6IduV3@ur0b1Tm4wh8+}yiPxA|9)!E5J-tQg2HoE*y*+%Y9OP(pa$S3y>-zNTM zura}|X#H>d&9W=lLHjMc;`L*|W6&XA0WRfg)UkQeYj=GGTd)%Rtd!pIeD3KP^u+_h zJ#8!&vogQdRxGC2uI_pC)3mE3yDzABM{?E$&KaBdy0b^{>8Jh#7?vj^l>(pEm!nH* zYrddwGsgP(S<~?5dl-|oQ%kw|GoFh!s$+Z^?&*S$L%e9(x%T976lCHLTJ#z0@U(q; zU$h$Hrvd(0_N2qWh3RMiTl3HyOn-q_{ZH_HKDror^6O=2^OM+C1$i2vu4q1vUad+# z*i*OP$d+&;Un=2VH0-KdzsQye9`9G^xxK4Q&(URJoZ%ohJhwa)$ql?SMQ-rLOm3(* zP9MGW!J5IzjW3fN;Wy6DjRoI4<*|ASW6{Tyu@<H9qM=A zwocvTerI}PBmXxszVyagesARWY-D*w`4;7BR$l6C?=ZfQaxcyH_H3A9dq;P)rJI%a z_52mKhw#8f$=%B|zfeBwSyp~OyXTVhICr`nU!F{qi4mSynM?rS z-MXvw#7g!kR#~jg?#{WZP;UKeEy6gx*n<$KQr^t&03T!7I3IQ6XpBGNnPgP7u{h@9 z#NwEWSJuH7@-11M7}H%d^W0rC1{*s5g{=4gg!f`yCs?rgI-{rjb@ioK=osVeZ1D^@ z4)r`Iv9@Y6D&F8Dczd5f_jdDtt^V`A7WRQ&LO-iI)ImTo6e*&I~<0w+}75TIJKn=T&_6`Oh1p-=XYWzK3boES8u**Mp6O z@8WluGB1m@SBTqaE_xSuBR{T_1?ZDPJM+X}CRwc^qEe${3)S>$MG zFhsmn4SOq1c;;v;oJ;9QJm+{PoGp+)*$mDWyfYAD0!5yPVc}U7 zelb|^X)-!{-uTh4z#IQw;|i9Du6EbzUjR=r_RbnHd%vn=PiqLtt6~Z!pTtURUJKoN zrZ?h&VIQ}!HsIFwO=Gzf51^Z^Jvuq)m%sycm9>LEzpkwZ`l}om#udMi{s-r@HGOt6 z_>kg((#)=m2h>LTgYm=z0cL13SMi=>lx6$X#QtSN#wfRVICE|WC-P@wvgUR60-WeK z{-c8nT{h@tsvUgWd^`;Q!g$&b$o9hiBgYiKG4Cm3#(N1v#0~Ky?^W!Om?QMHxPi&U zk-Xl@_(1eS$GKQJHvRjTq{A0_8)|Za&&E1tF!(!^?I#{7f8kAv>8pH4$5bj_-C{ZoMHi%$`zo&rqCT)!?weg?h# z7|!8$J*(pfCfxOBcz(mGbgplop!;)rqTDz?F(5j@7ZrTB8a$=54P&dwX;}$9R#P6y zbKncseG_Uk&hy?*{8!G@p2YVIxo?%7=$kFch~7i@5M$r_rsRc{@N#+I+Ev7@%du|LAt zT3hV{Uc=%0o|(R#9If|JF8F%1P9feVINwW|_)s6gO6*$kfMcZ)50EYi`j6+G3%pE} z7Fxd2K4e*a-$6f$!P#GvzC&Px2KG?b^30 z-5J5C^@!SZ&JMD9fx90-WphK>f=pgN0S;ENmiPqoUe)gItF6vvy~;RRR~vplvnqWn zW9WYTn2(D7^%c~~<-GTc|7NkLUUv5(#ry~Fjlp|bR}sH)^aA!?bc%8qr_h=h?HDmT zqcyNz8)#i1+>%qFVwcP zJx|loHdReQ^z(UYi!Kf02HL5eXcy@A)2BP$QckAUb~WZzg%&m7 zuR;r>K_~d3ooHgTICN<$*v>|a@6q?vy*HM=$c8 z^%1iH$dlf|DwtXu5%ktB; zR*7u$D&ZG+v^W2JbZTXWdtM7V(LZa|XB#m8F71e$x;^4% zZU9E`GFLcwNVWyMRM54d@1v0qzniwB;8pG9YrI^0x8?l1VRP>(#{P%BL)m2W@3hYA za=1KD@B^f?;W_8Ol^ZY&hTKFe177JL@Ezt29!G%J%7RXk-5I0)3$+jI*O1yniR%vg zxhW2%XQ9oys7+mC%BKLX|KV&eargMFOe1cUo4a_mzx%Lq*>k)J9z^$M^Q`%KhFqoN zj9um(+!e)*nQztmJqa<;UC7C3!Tx9dBkhdO+a-&vm7!IY^@8(>{4>cX<>SzTXNGg* z2hF$B!S^`xjox$3)e(+68)*I~Y)B~TwU!_DGqPzs(l6BT+CF37f{+`?GRGG>BhwXft z?S0Wkx^#3NF<-Tp-=Nq9cs=U%sqFzOm*g>U9ds;n++W_F8>igq-^Jm_m@&KaF6ET} zk89mon;P)GKFF@dQJ>AmdHAW1)5bVoh{m}_vN*3#HsVlb+wqaBA%=k*1YG2D?B$0b z7Zqg5;Cp9e&m~WOe+63D9<{lz5+3188{5kD-ZNj`M!D$-+KjOmmAm`j z>p=Avo+W+sS9b3`h|5)G{gkQ8{r&dNgC;n0ur>Igtw5hL^qGiorat3O?M?r*KJY@_ z(_Q;%l+CS+N6Ylx!+#%>szrL-ctbdrj)r&55AbW!HtfU6e~I$E#oLlCc>P7l)+l4- z?&CPp$W04*BJjES`GQyS8f0U@!(e5;PwC_<7r1p0`rLBra(Nv`N{@`LBlm7?GC9WC zt>debN#erx-s$>shIr~TCh=T*IC!(`9maF{~&A(6{=AF$$e9pYSI^EoR{y&~Oep6E&D!=MKXzqp&WYY8#GI}BS zICG?tiv}Ot-hlQ6`uJ#10QpOX`HpkZ^iFNv`ENR8HvO@-Q+$QGE)FGqqjH}gQuqE6 zdwa?|o#5Rcckja&nk)HG-38Q@JfowFbszS1wI>?dpO62j_L`4-PjHljHdK0~@|-_= zw3_VuSLuiNysP>A(pRfkqo@T2E$yBJLo~q zoYRHGyq^HCrVD?va*8gLJ{ULoX20m;joe#}_1lbfgXS04fiCcX(N=Y? zPxvzairX{S!KctZ;2b}GgmLq{@x6yOgtBy1r`y|WE@9;v?tyGQ-(EG|A#eJk_O`eLpBE&pY;|1EpEir+7zj>=d1-zt|L zQn~DobkH__YmB{&q2K7w`n&o4ZqIv*6Yd6g@~tzxy7ve9K6KR=I;P6E+H3vLQ{Y)( zO?Kj^tm{)gu*<#cPbPJauD%v|+Uw8n6`l)!-&GyW6@8Yg*V*Xj8_nvVvs6F6E5yzY z>wQuh$NOWWz;WbPX&;UM*J{7I0bix~&a~*6tsU@PEY~I~*P74xMY(W-k9$ikM-liw zsQ$4XVgBNgZ0&^I7!Eq}LF7d_uTfpiPd3DGQS<{>Ce3|;mC&%@3yk)AxFWn&fGaDH z;0=BdF`@bOy~yHQ#7o`}k6=AseEweePJZiqp<9dhvd43MRP7`FF}xh`cMqU<;=0&# z=MxwE)*TUk%n)xctpNAp6W_P)_Oi7ixLjX^85$XC^UVzJGH z*2=95u;=i#;Hk~Y>^=ScvHIJFtj!g@kYQ|nuhsVQ3(+lQ^L3qm z>1gDZnIEzNU9uWo679Js+Sh}REe0@eH}4v>cck4_qCAV&1YZF-#~H8M&bZid`|a}> z%wO2#^4Se0{O&rwu+{0_=$ahZH4%8pVtPvhce^(dG9$yK^r<~^T3Ke;fwoCeX@r=M$P$l|4i`aVoLqF^QWhE-`#`k z`9CCyo+ke2Ow{~vcJu(6FuG)dsp2m`&o9LfLLPP?-y(D zNiZyj2HH1#8L&tXsQv-s;JZLIqSzi5xn0S02Cim?ONIIvcGJY3ECS=i{u z_G0*N{h({qPs{PqN8&@HgK&XQ{c(S$&)Sn0qxQ=6UwuFKOA0T|#z*drp94l6HE zeX=H-w$F%G)Ak8%vOZbcP1|QgNAr3aw&x0MWtbk9KJDB&w!}p>CPb}{n`99-ZNiKu*LPAc*CScC(M>c`=Dz877 zi`x$i`iuU8FQE0l>_2<+*?hduz&;H811^-0tGhaUx%n_QXPzD88Fzu45=9yQXyX!>s>SSI+OB`>(lY0Ncf&T4>2e9d~yPZXy zgbjSt)6hxiYsGxoA3ogK+0a{W2+x?4J&W4^=kScV7N6Y^o`Hknvu)uSxG6rnhG)uI zRSY2LgIavgSJv`S8!ErPv8&m zh@1voXYUbtEV`RiIFDpRck^5Qp~ii`wU85SWzeK7*++LvE+3B0iBXmt!~1HgI}Sb$ z@~#oxyHh)|UAf$I1)s*s#%u2bpNmh8!RM-@xg3OduA**uXLrmq+Sg$pY(npyl7CT# z=kz@TKKp0z`a|$&d2--s9N+K~>>hZTsGT71NVe}Ad}I5RNA)q*2Oq!e%wFAzE1hEc zlHUP7<(vK6Y|d4{V_6wv|6FD8R#wKiPpS-_%F2M_36;T1SsC>FXO+Q2Ss8GSsSN&6 z*}neku@TX`FA6q7`mL!?h|Ms63;8U{3%sbD9P&v#?=;c7it$ge5t3hIGsydJw&uXE zgMVZrq|dYl6YTYlh&Mw_-^$d7R zFJ^at#Wt+~@1W;lTl>Nv9^S)s?2&XT`2r)yfn!mWKNH(d_HIUqyUy2o_vB*cDjDr;Mx=u`ZuHGc3nn7eGP);}Q!sk0~2v)Cy0 zQS0YjP0%UGNX_eH-Suj8f$t9R&K~W%ST0i8$&SxOvYdB6zYMp-VGkbrRxx|)e4#-P zTUFzV=IB1Ht$IuFrq63KUT%>3Y9}av58#=ohbh^qTmZG9E_V7W((8^tGdzrI9PVDX_Tcm&Fy{5Ww-w;HMtkv5 z-tXCRfIKsQkA5UmLoT20jOISH;}m(96WV{Z-;5)8>^JjZz2Vk7k<5hk&h@k0dS_ob z*eA3klua6I0e~zNqAo7c|U8RXpAd)#u|M>_?seclxZEL`w=Xk=p5HTqIJvu zSl3v8qQP|iMeCnw`|AksouxnO882uJI~{yw*I(@aG}Qytv;N9ae}0WH=>00$FMM7n zmu2q#1NT8L2ff|Voz4f#_u%_BbU8NF`6jg0omkWLGZ1oJkUPD9%*mbiw~#5x<3aip zKleWVIye6P#N>kAWBhS+_d)Vndv84mZ%nm+wnnDC){OFzHSZWk<(TR|2EmDMgKyS+ z&S76&ycA#!^Y6XYVCzyp0p85titwTF_klZ_iOnyriJ3v29E02+1Bl@=N6JI9lvvig|scSNX z-!pBW3!^?e&(bG#t=`*tV)54kAeEPiXEPX~cf7(9LgBd>8oTbl5 zXR1$pN__VyHaC>Nzp{=moW*g=-e<;dOz;s#XW~2ZyL&-nZJ_@NHvaMOjM$oRZTQx+ zC4Cc*hG$C(&#-r24bOTC&#-@gAD-bG=K92DJ`kSa7v`S9v!4skkfq!+c<Onj^Fy|B?cjy|;Tdw4dj?HE5S}4txo6Pkz2O-$r)Rl43(5PKyshiNX(bPq?Fu7zE|m>$2ldd-tS%gAaR;oqmH;d-tS%gG1hF<>~_`ekA`X2d?@m zbi&Z}wl~m=jvhxw!kVl?T(ymNla(kZuWqEwp2dldWTJ<;=q$(yc!Yb5C(QTv`pnw= z{ExqJVO(cb^Ez{c6J#;m@1(nca=zXo7w6NxZ=>XA<6BLPZ*u;l<$B_q)i-*X-Y7rK z`NfqGe^7mVK-oR34;wR`ocamMRq&Xvb`51aPfu1-ekR}=T!A~=Xsew_Wf;2Tq>_(JeK^{yh_HE(eB z(@t>qyZ__-4)x^M+JByDEmx5}R(H><_?27-!?oVECL1j}2w&JM%Y_h*M)_S)Zp+?iZ30c@51*tD zJx?AYH{RE6^wZ0`6v0WLZNM>Y&xYe#$Q=tfrVoqZoDIjmo_OwDaa;{C1@(Ov90&Yb zZU}pLh9~y#l*gmIO-;G~|FTo`l3H&;|xqCW(E#l~J#kWV;y8&O(GrQ}f z+5|tM)33^tmEdo}Dw(JnM6&wrQGE3H;%HWSv1#zw*P? zr~GoA-|Q`UxQII+&F;IvJ~F@T9(C*}3}|QYvQEUNHRpvO6NV3LiFgPaf=7$d z4@B|Lad<$sF+3X#cw=p(XVE(JmMU>ri;vQ;&iZmURd&8`*vFv6+lq~f=0#r8du5F$ zsH0~tZ$I*j<29Xd!J2A1T!gr`=4Zb}m%ulH7l_?e!uu8iKDxk%a$r0@27_JGoV)V) z2r)PO6y%b)Fzq%*^B(j(Io<`I^w1}CR!&1)pRp#&Ji8`p7vqcEl=)VlzFA8PHmm=_ z7WFwh;dAqI^szX(bcN;+(JdE0FVf_5XQK&g6+7zzj>(ZS*eu5H_@*iURRa%se1jWs z?Q~Hsi&eTi`zlTNMDP4jE{kAQK1p^jNjZPdoX!UyU(EYS@T0Y7`>77%1jwbyq4Xkp zAjb0o;f*!!IPxl9wwyKnZij!6vskXIPP^+X+aE^eq&ueaaCD9r9_D>WBV)@s=TAIO z?-%(#vBn=D)BijtnfM_xtoGtrqlI+qR*xTa;$VnJ!2{CI73#{z3U$R_Y8&EFt@=3{ z{Nd$Jj?Mq=@MCr`Cgmp?yBLoe47!83%XkOl%byqBiPr?#5U-!?l8@_RMaZ1#7sa?v zmc9SXo>pitdy|#ZwiSOuH|J*or*uVe&JT+(`lsgbg|kS~(Z2}~^bn7!%;4TQbbK)$ndm#d4s)1UT%v=;j&eF&bs?T*eIMYd1yRLKjk zj9;3{7KAfPy}$;)JA3WrK=efqU7%0xr`_w7i(W01Y24aRcdQ5g3v#vt+05R9;peLL zW4XyV#XdDoaqRp!(YrAUb6W;}OUT>%l*7?V-mw2>8%1v?VNEQ&eu3G(wBM*F@A7&cF%LZ84TTA2?P`mF|kRDChtEbGhF6U>2j)4>|v`J%pcH{)r0 z2WNAh4fNLCiw2MB0B0Y<9L0~^!FjjKw_^{OIzOaOqo3gS_9WCtb}j&~_Wmi0_x2>* zYtI>XV9}k9+`l2&a5fA+%+b6Fj)dbLyCmzTI z{*P?M(0PxXzWKrfleaB8Fxh`zT9q9nRxLQ~{@snhy%CzO^L`Mq!TPJg=LvUD5W4fx z&CFZ-mi1lUU)hCTU&orYz2PTS=lQu(Ug<% zSFq1Gz7QKN-V-huW6ihD>^%eT2_}OJKC8&ThVORaYjV!h@~oAw81pgk~R0IC$qlo`x3HS$|$3Gq6 z-|?CC*=2opeNgn0&I~zq@7Z2E#z(b_TyIp0QpLOp;9{v{v_*oN93;%a6O9ur%G9SbL zLJz;zFUBLlWirb={(ImX=wfBiX>Ta&2j2_N&P)GEytGiVybWG@C9zpA%lRC=)5NAu z-&@pcOGP(}$&S{#82F%bA{$BXHX8H9}{`b(pX580S(> zlQYq@POwenNlY1I(Ay<)Cm3V<)b`k>VQ&Mqj_m`7f=6^Snx*)kR!1=d_3OUQ6Gr*qL0?KIsJC{u#cWov$p(H>vJiS~~wVOAS}ZRLS4D zrFe3}JvxdTs?7eYJ~++#Vjk9)>U_!F)n)Z&a}OIZN)FkZZoFeRFDn+uMOIGP-ZFQ$ z*}k0iCAI$x4{3i)zKdd6S^iQly3x(q&U;inUY#un`AxI~2ZBv~Sw9|DjiEcjm$oi_K;tQ}gs~YXYu8?YP5-su zr8%o#aGl{m?e!nrD0YJUfje@isCymnY1Dl;S9yLIIpwbJhlh`! zNYZcO<1=@|UEnXl8}pas;MX;dbOkb|7-*oc;_1m;C*O8Hyeyc>m4Zj)58l9eI+OKs zpOv@47d;nph7!D5+XV?eEzi`?B7SQhT>X2#vvT+@jLltWcCP<8ZA$0=-ct2-C1Xr! z1AlAoQ(%P`#fSO$T$B&m?_)=07)x3O-*-c)Iq zTQjW%=C#;Ma!E}0Yy$4B_$>D|e3qYa&Qkm9*?I#XdwezXSm1TjWAJV8O(<8M%J?>X zlM5PtVSPE{Ea%wT0`&w*2nh(C}?^UtJqKI{LC?B)juh`bqUl z)QfPL2$zzjhZ|>-L;wGm??e2rwt-&~n_~K`$o4~vISfURf`B;k| z#m9m^8LV3GXkD=_8To+L6QNvr0Qne;ZfX`(l|nR{>gKxZZhf*{CfkRb?ys2~Uv z1VIqQ2!fypf}#k5;P+m8t#j|mZD&67`hEZUeqZ;r=j{F7k87{J*V^msv+vGGPuw)K<9k@a!v%+8TjuP(^?Jo+wtCO z{dXpLpZ1sw_&3sgrYQ98j%5Cw;~3%v>|OK)Y@pznm$O5)tQ{xw{BhVX1^s1SgQ$`< z2+~D*u0Iar9A~9qT=99~#rSq|6w0P=PP%;51sjyotJAO^Liy-j_9*0|bH<}MAB`dG zJ$U%b<9^$<*M@NlT?4y^>&G1NIqKQ+m+{xnE?pZ%_4)ZdYx zeJt1aZ_Awd|D(*ACiy};w0xmm^zL}THcm6OQEUlK&q<`C(8frU9)t}~b|%))Mzyue zkSVm4-e+fH{s_ppi3YOIXx&fuIp!Jge@o^k^qXCby@UUKncDU_*ifwzj zQ`3tvtL=^*cK&8b7-K-jC4M`BwTeGWoCW#u8-pGzVyUk@F~V-I8Q{X;4q#&7=l zx57uLAE_PYztbLzb(5G#%vIK7Uf2GyCjUf}f0D_6n8`ogrMVYnEZb-`8S#Tg(m-5CV#2P?=|_in*3**{C_q1 z&olWiH2E(v`7by5uQK_sG5N1E`EM}!Z#MaFGx_f{`FETA_nG_;n*5KL{EwOZPn!JC zu>a;+KkckN_>*P#Oevr1-;uJ+GwJ+}=WqIDIZma)b!LKg zR7S%2UC))o<_&T9ljb7$^RCp>fQ@}r8+NNPL$hE?J|E9I?#t6VQWnt0h44>bJn zOv^IHFD71-bgBE3a}G(U?{u_y2PY+H`j1FRxahDqU-}{YyT>cPov7A6JSl6+F4;CM}JoTRT z>%Mv8Y|TH_ktO|+xjdozf$h`oIkZ#U*pDZ)nX@4j<^}RK(EnoQY?wJGUU%vc!P554J z$D#=dJU$zje}mB)v*DxV|MKKTy>!IAJYI)yN;q3xI`Y%8pDq`EKX%jHPqK2?eP{GT z$M4Ha^Zmu1QkCWMxx8CF#a@-;EZw4#)~n3oGMCCMFDX-*SwPviSFBen5tD;^RVFap ze7DEvDsXIa=DUWv)`? z1OZ!J+V9v@?svGh=et}5K1YdjdvQs5iKEc%*%piqso+0GmU&%1U%A(%3X9$D;?m6u zg!p%m#{=RhEBRCBo}rR)C(T{0Qk`eJO6Q(I$(KDD{5M3rnVP-*mV&Mll@pwj32R62rJrvsEMnqNc@?enRmmDyn2YPEV* zvPz>z;>u)|o|%msf$7OAX>}@Yau20FLa#p8hq^({DA`&-fH!Cqihi*Xjg-L5xXR4KHE7z!WdSt9oXQpJUmFv>e z)&JzA<)o+lQT@;F*JUK-q^-%whCeGMJ0)xVnzSqeIf)sklbe~AnWEiwt24=6pP0U0 z2Y~pTtTpKrmbETj2PLPhPRvNAknA<5smL@2=h||oyV$=&rMpTu`-@aEMxM*>@~V|I?$^8Ao_va>JPq?ym|8|I^!o7Q%5t~g=kR+RkV4n~6zD9$YPX?vUdNxAC;QhNtkzXp0KJ21 ziJ&vQ#hPeOxgX@CQYak%{&i7OTxzU3BQYxjeZSO^y~79n6l|^24J}n(y2P4kiiBNX)=pzg8C z>sMpZ{){!rDbRTtr-L188^Xq_v8SFobMB%AzA+Gng~2C6R9dnYb(QJ#V+@z7u@D#| zC0eJ(oQhKR%TGB&5@LYPq@pQmzx3u>_xBt1ftu1{f4Xa{%dJ)ymx{-^JrJ_q<5swn z%DtF-*T{4jLWpi7DF5GFb%J7cn5kt-0`zc#kmq8s7#+4iKNqSj8vdo2vx#JnH{DQo zS<4EY2@> zl|o(u^l}DMd$|tEknVDBaU^nl(7y|7Na^+QjX+xS;7c|0I-B2 zQqN4zN?ex?!nDnslaeVBVn~~UB_b<@jO0<_T$Dt>?nbm+x(MzZ_%|F5jknuFv^XZjU4MT(sHs*f#hYX@OqNHF3VuLPNE}7wPVg0m5Cz^ zUS&JhWlO%$h-|z`1&dmjfq|Zgm$GCXrXSfkYcj$314Yp*P+G=1hTO_J8-%BZ4$#r#?t62kw=E<>UHTkX_@J1q#H=$^thKdGDpgWOuUn3 z=)O1N=%t8WKpl`F%$}MJnq}+LvXjh|9@>G8oluL?p2?F$ph-iAmqVqnV|{^pXpVJUy;;h+cjf6@qn?4Rez`9&Z7R z3U-5&vbK51T-KHrtj)2s{8Unm*EFm+%}-YgREgS>=~N|Hftru^vjwrSu?X3w3jM0g zSFDOlRbiQgBdDlMl^}?;qSA_vxZ%TVDJ-p})Mr?2!mHhM+)J^Blte2+3Z{rkPCQd3 zu2xu}3cfXJZM4+LuHPDA?)eoB80nX)HJMng(pI&mMUnbZWEU%K ze<+&Em6jz%bEwi{fMrNbzKW(dWPnEFQK@JQVv#I6ThX9X)L+yiSg=axG>RrcMH8MP z^{Hr*q2{Gg30aD!FUp}O1qHECQ1XiOIab3m6_$L`z_t~MNDT!}s+#FZR;x)Y6{$L^ z6-#W{DXUgfJCYRXMwGl(X)U8jvw@SMAoS84i@a{X)(na?Bi8ev$`q+Bm5QutEj_aI zGoX`bkxm2U-6Wh|xG0V~k^0ebs&bWX(3kRT!7%WZ8}_)P#8m<_-r?NpEOyg!g(~%o zULOj^1eSjsJ`dI%ybfB{rS)1@0p$ur`}9kD$f}Jj4XM$=2Q0`~AM!c3VhsVSM6z}R z``=WDue^*b_5!^gffZtUzjnIyijtBQVOo7272()cL<>&lQn)2pvywGu$*KtpFd~q_ z;leT$$%oIVgAd5iNMNQL*0a;$q57NZ-`BL!xN749vjSbuQ| z)_i0sBA6*(zwlEq*20P3wB+OUxE)FB=VMLZp-VAp##9qnHbP8EvELV@idI_6yciN* z{|=$e$VY{Q#sx_L$MRiFz0q_}8Sz<4@q0X2=PAX5LcoC$?A^RWFNX%&0?uNAOxEd$5R~D^XAmJ$ z`r$ySoDhp5NQaJthV{)YbE9tw=k<-?ML1Ivb3sKlZ$ z=;9t_fzsVTA}4Et)Yp0t$#O2qAW`U}aRwRUZ#Sb-7_G)KvdcRk0t7O#676zx4V0To z(Mw@^R8Uc6l-S|Lu*cdhEys;wpeb!2u9O!0^6~oaqb%F!>QTy7@K{3~dhHowWot35 z*;3a35M_*6W8u08i*n=0>`#ue-TCpRyaYRYkM(Pc}xA!W#!&{ zQhUK5qdN?Cfw~f>KR9NLr6Kei#LY;BaaW4|8&y()UfsuXsH~PypD`U^K|am%#ifXY z2#LUJF@bLNyS9%ihz84k0Wz4BNp$fVk1qudr$g7|FTy&#&kq@N5X-1=tjz}4h9O<- zKR|As*Xi?N?nd7rqtk%}e8^D-wfEoFhCbBf6Z^1YjI0>t&cNU{L=5OzabFk13H=JB-9;Ht)kO)u*@Y|<(k7c zp(8L4%GZMZq60GkhB0aD5bP-MKo*HS43zw$K+9;98#4vup};)#nCqaaj%3#SUBt*2 z8fR{S*{D+6lv6nznNBR8F9@-k4+zx>|Hqd);eaJ`V2UHtk?6>9q&Up)KOq@TIA9T} z#+N3o2hV_rcpdUlEF?eRfr|)yj3V7aD?5%1{_N%3zl48N1SedN$%ZC?nFaG^791dN zAm{{zx2BWjt67>Je#!KOZKZtV!k4yDmp09iJEOd06WZq~bQquBeWTI===VvgD3~@Y zpy5LjA0REQY5C~eSLk(sw8X0aI<5X>6UXc97t|Z z11$3tK=S$9sY5Sb?$cgz!2E&EFFQa|TFcx≪MWBxnAP17^T$9Cb*5XconE zvWP;`qk(woGm58gxQ-EUd~1qSN;~qN-s=G*fgVQ3b1gsY>>$D7CSMi z>palIW-bQOCOb>YXntlQa*CjSiahR7iJ5ZU&XAJLB^v%f$%do`M9@ePbTO5{Xd?#x zH;HHB9p=AG$`jQ}e52H}mBID@rk2FbOwnj{L!-u#9Wrc)F&HuQ`b>m{riu$hV%pA^UBkQAk?gprQfGkwRa)BcxB@pwrqB@Qmttim_Dh4U5_ z;+r5=A@C9_N}M7kMn+^ZUTLw-Mdy;36zEp!JtAauY4pL6?4JE&n1VIs{vZibS~j-E z95@e^;>e;QF0}+``(N67+F0e7U9uU2V|KZIVw=SASesMjo7HF?u^Q&JLwE@$)0cUS zMh69(T6U64>4c*gsQF~XjB41Z7`+Y1h5a1*qBbMXN?5t0YT=d{rHyVgji!?dO#^^u zA_(woGVzN`%UuN|2lGo7srjq1ETK~PMS7hNd=1Ds)vrU~CT`u#yNyoYHn+%2F{Us_ zCVlqRSCYr)*BcEP@;)X<3awgkehg2!PTv;l)B948fRqWgJ!zwQsa|hO$>OhsYIKwt zX(@srdVNdP%mpX$ZUluzS9nRN6bdHA5-j-NBXe1lN{t;qRt$6!d0aCW$Ie?Ei-lZ- zV;Hd1@~|MCiFE|yRbnZImg&+Hykq7<^sm>L9cYAysHstTKso;Vc$=6c)az?nYaA#k z-k9@?puuR%59MWzz*KT+hR%SFlK@^jlBVpJh?b!6s{fx8>4g%oBd{aOFg{pi%XU!E zMH)}{)jVU=@%N6eP(tJHr}45;+LuT)6_C})H0Qpjg4YCik955a-Wli4+s20$ZrV?V;A64 ziD|)?R!RyzZnTEP-VHO4Oofm<3zyP{y8YLG|EtW4mYSA8^}zaXs>COR;KC`$+VWr3 zb@EaSi~UxUomfx)Z?Z20Z%nJE!3EO;Fer=$tthI(sa2HUPSw z!l>8bP`_uU~lw5LMpZORH;B~2n}WXG;WjMC|+ z8XsX6o}@p*7?LdAzX)Bat22@H8wP9zh*_Q=Bqcf9&R4cfSt zJ>!+tK2cd56P4;YLPbu&VP@S&DO=xE6`4B?E>3XXcZ{;e9;+;w$0~c{bQL{*ma=T0 zrBr;ZvNXji)qAS4Y=~F(ws@sBBq&Q!f>KQ@lx1**imF+qES;;AD*L^%kKjk>8~&v1 zMS1uE*|})`c}g{0q9S%yE9>mb@!OcIm9-3~Ty@=~>^pB(s`Ykdt-+5(aZ0Df|FBYf zyOd?;bND;eFRF;CufTm>+3asB)%TvV*S@c;jUT9pp%0Z>^0~6_`5bxoDtp-%%G&;= zQX9WlWAJMu)%laM7K|v{o?n&9`AtPlwpdivSc^S+oWxt1J`Kvn&zg*IDdU>ny7Be=OG4T#Fj-vRL9=7PY}^iHP=FRC>83 zB6qt*xzDj!6LwnEoXagylWQ!h^$yGUn%x$)_kPQm_6IF0bH|T9tdJHL`Z6RpoYC?USFes-CZ`*2aBS)&8|L zs(Q$({NG#04*h6VO|_h0vkaeLQ|%|)EZryD)SN_{ zt!RZ!^{ug4GuPTw)tNTC;}3}6Xp3mhw?*&SY_nAq+tiXWnO;-I^U*ZFSJ<_E=1i`Hp}>nZ7S{(TlC1KHd}4AO-0w* ztj&M7sg4F)MC{Er<+#;miM`bpvEeqGeS8x}@&l;n0b5kZgSN5$f7(>tv$lw?F1X#c zaUCz&l)u*&mHfI*4ZLNGPUyF(g!gUMq4#ak@dGwh^qI}J{KjT$`vvt{?6$Zu zcGWiq3^>wm-+rWBwL0wf_+#xVcDmhGb-Z15&$rvgFR@z(m)N6Qm)ccPygjlx-mbPM z*)4TRIQ-}Lc1z>$?W!xoZri)oZb`r&?QK|Zx7M9uw^wX{2p8JN+0U|DW}Jnx&ay`} zl-Mn8C3fq+Qv3MYa=T?uxjkac~B+VJxE;WFOBhc z?zKBfT>L$AjVFtXb9Oa8OkA8-tTE1W(Jsyh&@NPzc8?O5bSTw3P28i!Jw{xIxW|e+ zUEJS^J44)=;zG6Iim5nG+}YydZ+zp5sW?I06UD_DAh=>G=88K{-1*`{MdFI7z;Efb z`}{$~=@_+m5xeo?uF$Sd6n=y`5avLb17Qw?IS}SRm;+%BggFrAK$rtz4um-n=0KPO zVGe{j5avLb17Qw?IS}SRm;+%BggFrAK$rtz4um-n=0KPOVGe{j5avLb17Qw?IS}SR zm;+%BggFrAK$rtz4um-n=0KPOVGe{j5avLb17Qw?IS}SRm;+%BggFrAK$rtz4*WmJ zf#GrdJ9Eo;cE^buBkm#MP7!ySxW|e+Q{3aloh$AFaZeKW6mfIK^@zJw+;hY|PuvD^ z9~JjqaX%LKD{+4o_cw8E6Sy5w;vOdMOmP>9d$PEvio0CgWO08lZicv7;+`RHuDDKd z3&lN4+){D9;%*c79C809?)lhqxas1aDXvr8VsZa0?%CpAAns-2?h^MVaht_`NZbx_pBML4ao-bnP~0JL ze-SrQ&T*J1?i6uniMv4DrQ)WDn=bBp?FQSOE8&IWmWb;W_Z)H07xxlzuNJpX+?&KT z(%&h#Mcg)VpAgqLkK(^`gY*twK;y!p=ti`$}9T@!tt>zZvh7tc*^}{?Dgh5gN6IOriy)jZ|UgB(m<@! z?4#w|R^GNbdG*R(T~t4D%4!RRZq81&>`N zXmgooo618iOtaTj;@OJ4UKes)H7(L*vv@ zOVqKasN)jV+!bn3k~+n%>Ml48MfT|AUHVy5d6-hR6=|!~rtH;;>FKJ-Q|kA6+&SC* zs?@I9&Zi9B=S5JqJrG7KN2{wXlFza56ySQ|VddO1hDR8MrEoDx>-{mb;Pg%U>ZkKuvWsSUOLC(5I>Dl`nJ!`MG zSX0&c*0t(ltFpSBUazankhtwbBCzITQ&Zlx>ZS}JcK9J`MCTinX7Cw$w!B15*>^1pw+gwJ+oZf&n_abE z!;SpRDvcbm>PDVt(~YdMm8t7&x_P^iy5e0bt@{aG%e~aRhRcby?H5E?T&2!UZdZZ& z66r?nrWEb>p;miIiL2DF25q`q)R4^snXI&zBkU5pT@8FjC5{YGdkWNUduf4dyJ|&5 z?N=1hzE4;9Ej^omw%d!rMo;dFu&atYsYPwC635&=mlIO%DODX2 zUa!ZioE+Nbl68!dhgTF_bBo4NL}L7h-iI{B3eJCXXQ^8l=W_;vK6Zr zxQsq2V*p9_JWlk`ApJ73yo5W}r_PT;Z`LU^hKmc12jzl2uc*F^G0YLsop{Za;U}&Cw)at;pNmM|taSqgTJv0g%#we?g zy7;;=evFOV#;6$QR+rbg86|4@=H~a?HaUGR5t0vV`D)lM;2#k#)g4jj_G~LJErzOp zKcWaaJ)g!RQ~ybX7O9&fOV!0uo-#e2{t;EC2BZF5?sTiGqP^<5XiQuFVxPY_U%eac zS5;#`f@&Ru<~>A2H$6?ysyj)SygYWTdTlHk@-#K1^Pd#6?^$9(s`?6X-yyE=0Sc{u zO6LNDz_+y-^!IJ+8ZqVR^7D5q9QcZ|c#A*$ydBxrqv66|?KC;JDI zp@8R6K+iZsBfUNj-J~8ES6-_6k)iG}O4{}~Jx5?{P==q!740Y}EJmlCJHEKIO#3bx z521L9M56*K0@PkX-C2KWP>I}+6tyiFpEgz>caLZF@$h(3AI~ASc`vno@7MIK`<|Z7 zzuIlZ1?rRWdZ2wVp8M_F@uV7F9g|alv)`i7zTHGrPdC-y+-cN9B?s_a1GIut?%2MqJsBfVP2kyqKVKs#H-Gg8Qcwm$4Py+`cSP!Nb4bgpnIMNwnNFN%f`c0`ys~ThQDqSX8N`2W+Z56BK|Zzq4|c6Q4^d61?pu>zIqhX zwA%&auhq60S)UqH43(qa9_#iv3uN4C3Hx+xsS6g+&ttVcxoezP?HlJ)O_RuI^Lr@H zwUwsjrzWAh4FP>_k~S>SbeDP=WORN_oi+3^^|hEy&mW@YsOJ#a7d;fa=QVn^JxkA) zJ@l;mjxCDU50M@iJVZ0|%R{t9F?5I_Uq2n9?TU)Ym?t0CrTmkgwU5!W{ox33?2*Z9 zRmWs>b--+DolIuaGsrWHbeN%4@8qDtG>GtqZzzAmCnl;Z4%Jj&cqnLmg<_jur{|ES zx?fY>DO6VA4FLgF2%AQ;M$q zjGkSeN5GtT=`fn8-#$!_%J&art@6oXr1%;S(@p;Zxd(L9t6!#kgT3@@#?!Egu05P> zq8ks_YVg*>jRxO!IQn#ilD9meIUcZydJoq&(OXE+-l?g1kDj$}&~p!1Ocu` za}?40JUxe>qq4r4LYB*WT*h80V;D&r&_Qeyop(ggCfaobn)MWAZ-1YjRd`Yz4;`VY zeiYG-A5cUeo>cNvM-Z!fj$q6km&`2Q+Q}5u#uBp(?hCzDLTDrzvH}GgO7P ziLN`6n|dT9=t+v}|DK-JztVHxciJXuKhjXMPaX+D2--vs9!Uze3wa07FUb27J!^Fx zdmp4a4AuJUk)&EHk22dt!$%gYOO8TaI&bYel(*}h2(gJ;kyhJ8yN@E9=#iriY!mG} z)TDL4KQv!eA1=~!@8K@B=kTDi{qFD(W&88tTD%^dQmX!Ogs9hhk0?_kM`)Yqwj;gj zog;%b(Kko>RsB(96Lo>;)<=lkfp&UUJV1)#!>Mc4r&GaPC@VBdE0Xp{i3xc3nud3; zX&A&hSC`J!00v>;JP-j30jl^67v&5}WAJX+fLlDJ0mV3#pN!-$mAe zY3LU9+%(ugpCQ4>!@6WmK@I$51N}D5P_Y*rZP-AU9*vRrDy40JN9?uO6*c z!7s>Ir*(Iu*4_I+1gg+BP~$OL`0qT%5dM~9plN;~`UbUxk7x<+?xv6~Eyzu8lD|cZ z_VC*%ifo`yk6~H<>KIMOcgHXtKclo7Ewa@p0YXrqZgg-do86;}!r|8BX>A6Qg>-E5I9yV;Cj~rqHeJR(9e?Xx_kVzER zp=<7l2--l89E&mWIK;xRfjSV-q2;p|Y(dY#s`lv*+8!x6BNrgjtLRVca90zKp!5XCG=c}o&fK1h>$+wC{x!Q z8?b>|kM*hxrjN3L{yyEWo}R94pf5n~9tZ)Z8i*YUW6g}U>Y5oCP9#Cv2Dyzap@%g7WoYsS5f^`|BXlirMyZ}R zkgGy3kL}YWI5$)1&$CSQoqHUJ5c)1UPUyP~>%BuT67mXMg-*QhXUf{t4YNZ68fWtg>YcOE&v~@8nManc?u8Z5d@?qtMiYi!3a^g_;?J*m$B%M>355|;&{(Cmv<9P%VNwcHzKb0*RjY~ zb=4$1JNshr9PUBtC=sI{X1hvV-pxDIFSFh1*5gSoQ2IZQ*9PGe$NOBH)w9Q!m!Thx zLSICowO1U3f*LPB2-Zo>39t*VqDtB?q0sJ&DfBjk);~&>jyyd{sR+GvpsqPVzlt=R zVCdrJ6R0Aedhi54UXj?}euB1$jz6p1=T}dnoX&q}HnbBPDt4hXn=a+o6H1(ZZ}E0j zc_L@LucI7mo=aPM-BQ56DAC&# zUH5)WF#7WoG2s*ljUsIHuY8B*<<<90c> zVC6;qV-6PV^_$Esb2LqN%u&|-EqcxQ(m8koxCa<-1?q>(4?E^`AhWr2wv3Yfx_1*RgEsV{tYU)wA}5+f^&&_X&xp`%!|GA z(EH_O?qYnkfGIey*r(n?&hD2r$=_2REJA5|&ztY_drI`k(ygtUuOf?Fc&YC@(XBq4 z<56$V)oaaa_dG20=c%vem8;9=WAb}b^R<8fhP^a@RKt2HF(d~AMZGm&i^R_e>g*$0 zx^_{I)V>mB^vLD0H1XiOiBHwW`qXu?&=mAqdv2^=X>W*yLG%;}s!O%SmY0Df)rGL$ zuc@^9T9jke&FT-9^8w;}s<6DO_BD>Dc$(%mIo;0Ee3u%DCBbD*EP#k#57l5RDW>&3 zH5gl}sup;?CBDt75s@RePCy|Yc!GWOb>@i$K6+Vy7I95gB(?)D(D?1SfYQ~Ue~`r( zwVzUo*GRngo=52_FQVt3N{n-3@%_?;G}f+Mi2i*?Yk>3VIdlP%jA6NdXMw1j4;SbO z_^SmF-TWf;+X6iiU$C%D?ON#5`d3Rv(?U`QYWG5n2~gRJqHDT{zPb*2Rz6Q!kcRBV zi}YsYHVN~C!a zE0Oya$^@12&nYR(psxcpalwh^nmDIw zip%%#qU4itdO&r>xzt;67;R3!+8bA-evK;=)AE{=e5~H;Pr@fNSE*0kd{Vh;Jqb-I zDJf8w#Q9a%Ns!l0qJOxHp8ehQta~BSvcI8z)L(~6{ya|#MvH%^*>Finw~{W zL_W*yeT&5+YFk{WUSC{Xie)^%8dzLj1|qQ#hg`$&QLdqLiD%sn(2jO+%THfz^3=Y? z!n1sjtFRCfc``r;DA*5mq{lf9~P z2_{va`uh?Z;y!i#64uK%Ex{PSnw=Y2fW$F_|R}5&4slHg^%VTAE z;VIz2CDitwY7*RrA@c9Nn*7bXAnbN&`pu{4Zf!b+2+J>WmSR5IeM*tjhsq!en_UH} z6=k&#(a7w4gzCY!R=w&vcnWjt%Ts7}(lgm3r{Ej+5YqR)NsS+<&||+y)h)$zEH&P+ z6z#c*2&uS%p0zj9v#)`O;_tQ(EtPJ5bg6XnQ%k)r`q29v^0w5{tlC^b^KfzLW=;OL zOSM|~aVfp~sK%u*m^>bLo_cvHtbpH;Y4A?!wLM)#Ro#cwo7LTYJ(*8*iBh@Lkqo_Pl>^mzmdP=8}irwOk-A8 zaK*ARl!>9eOosL{jLY|lz^ad^N9ud@Ko$GVr19#uCj zD^PEufSL>GO`%UKxqdP)teofEz5Hw! z&qb}v!Dc@-RSRj;a(sV90rhWVq(wT_zGeEW1GnJkWqN19Wy|T+SJQa&a-Zs14w3O; zq(Y28MAn*XNe?$ZNY92V0v6g039y><1e_2s)9y^b@O+7gtm-rd=8Fk>5WJc|_JV3j zC{=GJ&;WOdBwf7Br9NF=t_G2}`NA>CTl)ktviD1R?tPq|O>M%|>k~;AP@=ZmD5B;S z2war2e7mOp;zXH}u1G8_E_J$T2T8eK{XLNwe^a8djY6Q<5SFPZsoVpdD;3Dep{-3C!UEh;-aQX4sbF+GI1uK)l8QEf?nb$&AVbR~&L!wsZMd#|Qv zR|P#Aeg!8Ybm_a3H+!80uxygu_-NtwsYj9nW27T_tH)iAS^622)uiR8qf={~Pl=N{ ze?^KGp$k(m?(W3EwUfEjos2Ct%#5FsX&X;6}rW#hVaJ3_{Y7ddr^$0O+=tB~nd~LzMxl%Xty_GTveY6s@0D@fV z$(7*v=g8WH549LLZgs&b{U)q4)ULvi*P5~OHF{5LZKmg78$DaTqi4X zrk-9!Rj3zMZF6GV%PXrepwKa1_4q1?#2YBCww5w9f4~zF%oIaoNvT#kRSG}0( zQy-=3_sx-1+NO418VG+GqkDFuTD}6GL#Z5E_sC6B{$y=guckFr3cAdalA+$5u~Jpe zO2@#UpsQ!CF5XU_YiDI38ToFUwMN}LD-+YWZ=JD(^z^K?>YZ6x>fz(E)jP-K5W6Yq z$Z_kP>hjrn>cQDg)pFvd@?v*Ez*2wa#C&z<`~vk-tV`Xwpim7j+U!!dE-q5dCl{;g zQvwTm^{1erOH0&MrhW;?GOzkJ0Ru7FuWn8$S3@aV)pe_Q zuUS>vcD#dOH=KH#Hg_q7?Mk)SQ&??nw&e`k_S$MK751D~>@bXvZ?sO$t+e)8Yp~C- z!qR|UhC@i#W~s3ZSo{N)88dR{%&4+fTMHZ`_9-1!N3V4-(%pH8yZNw6%f^PNm=1eF z)0ntMYn83q(iq)0vDVT(vBo+yZrIXgX-7Gg3*0TXK}*&6I%}t8XNz^nI%FHN?X^@| zhp4%NS55V|SvsbbIR>qb5d)S%YnQd(+GK6CcG^blJ+|J6 zE`&8%YOOWa9&59`*3xU|kQU1xOSiQ)qQcf--)G$uQE6+l3|dC){tjCg_CU5+yDju@ z*s@pO6&8x#u%X+Mlb#-rD{jt=sZ*!UnKK8scHzN43Yjw_E+;-dXUUv7adF9U$?x6g;o403D6)v^CpmtsN27k+qQ>_Ued1TZ3)L-eQd#9@}bd zitZm%5m9Ryu=bD1t+7>FI&DqXo`|Y3t@cJ+Q&h9Hdh8y1jkUtoHl{7QCZaJ4oo3r( z>xyWJXpNYH|5Z`wQFMEytueBDM@*w-D6-1l7Sn9+pV&KTD0;()wboK+8@BC<=(jYF z8HwmezxjL6g08574Ly;wTPBQH1}1ck>p!R|VxPU*I%27gsF+Y0)oty!RYf%)+GXzm z14hR7PVO65Vd*`j<=|#ZL9e9_L=M_2qN?pRwhmjJy^;8Uf3ZtOtTdkY9o!k!WT}X% ziuQNg8X{sUCOc+VMs!S$=|c_sBARXc?CsW$NiEUC)&?7fLe!AO@2%-{kwC{^( zjc%~DP3RjF8%xF3Kx`T9U~@qWYs6ZNv6z6kBhF zYu#tv7ZKBBZH0{Owe&?+*n92$)^-fNm=;^>nCj@ku`LlT)}E*)dqZ@st;g0d217fl z543k-Ah+83tkn@c5qrnh9##qFRe-NGk&Tf5O!=Sh~l@)I~uWBXjmd4_o~HE_+2pwXMZA0_oTjxp5%M(PZh3 zn9^o#oDesq8eIr-?d`U1dtX$ytv7N{RC~mTwSGc}r4@2tOL7fytFict3TDLDS*8@^ zY>2J5Bo{21osf_oKO1T#vI3b0Y+aDNdP|GF3Oi=_n(I(%B6dXdU4jR$#e)6SjF$_Z zQ_DD2aMKNp*9xw|?nSzC1t-&XC0v^Y*FDVm&w}@0FBDzp2=2kQE4nTaytAG06@pu_ z6^gFw1=D5@x^5TThJDy{Jt%l8c3IKYDY%O^bm8g|T;Ij`9l`yyEdKMj< z6ujhjj7yFDGa3I?u={w%R|wvCBI5?Z>2n$H7CdJ@<95M~ag3i8Ty`?!e+lk9jd8!= z{$-5uu}+UCM*`z-1ve!!{!Q?lI~b3f>XtVtlCJ*hd&U1dnfLe7xYUF2;)lH@wU^ zL2z3PcB0|R5L`E#ajszZLdL~{=fpGKDOjDxxK{8K?7^q&KEZqo67hN!JVra ze=fKvgYmC|XJbDs+bS2E5PTyX*8Ji!Hf z7<-KP0mgq5yc7Ft>8cT2{Wary!Gqs1zD;n#&y4RCyzf`W?SkDFY$?O_jNqx*#Y|U^ z;GQVPZwaRDj&uzOPCl6Nmx70|LyE3p17iycUC}d`e^arIfv&>@$K%sDUB?OTaWGyg zI00YR=*keBiFJOu{vfy$>w9!<7F>%JC%Vc7*PYJzJi)nzj4u@&Q^L4T@IX1^+XT+ zV?0yvjN2J6GVZi#wCKM-pBZ_f-4?mTrGI^LyUI`p8N>o zM#1U-WZWV+{z=A<2~K^A@pFQEIvKwvcup7N4+RfC$M_q;aovp7ERn|^#^VI{y~22k z;5n}`o?)balkp}fXizGf%;!hErDmYQn$4L6sg4@pJ{C^~DQ7SzV4_t1+ne<~ZTss6; zzNMkMNbtzVjIS2F^LoZN3U(aJ`F9KMNM-zp;E_U3|GeN@A`DkAZlb5|Pa3NC1osv& z{!DO>;f@2oJgKMtf;kP+{nc&X57_SywbPMBL!Li4|gR4~V zKB=!laQx{Ue}!N*pYff7yZ7kqip(&guX6+A7X-JjfCm?uITY_$#TY+<(|F`{PXCMG z_%j)g#Q>%B&8KmCGJ^;goWyvR;GGK@9sseR z(|Ab+$K!Lo#=S=~#_GPt$$#haRtxUFhVdT-Hm!?swuZ#o%7fpkN3(jEt z55eiAC~(oVMDbIzIle=1XEn!@ny2{OGZ?=sxK8^23&CASa{iwM4;;aGBGeS+k6y?5 z4;S43Ka7tR+_Z`DiGl~FbN=OmJ4w;uN)x;EBa!i;3=nayjO6}n@rCI zf(Jfiyi0J;M~s^V4~u?yOz`B3Ii7Yy5kLA4Dq7Nnu z?%&7pGXz&fa(O2S-hMyFCkb{xz&J;6ub1&A!5e3C{yz)u7I{8T@IIPoa9txf;c&*c z39eeh_yNIfnT($kT)CFIN?F z48a5I8E+9BC-V6>!9${-=#v=LH#vvX-y}Hs3a;-y!7(zwJuWzQDyM%@@OGM*alIqB zLF8{xa8(wU_pRVm7vo<9J8BspJcj9M+Q`@;*e~s!C%AJv*B5WZ`xvJRE-GTYPVk2=OD?T()`2)hQ$%3neo>_v6r2kJAJV)^9f~WkI>B$w`vXOC-;P_39w+rs_ zFuqK1t@O`zf;S4jQ?T33>G3s9(>o&Z&j}uo_%{V7lyG|bRI2;8fHA)GYdl+U)Og07 zf)5isEO?gS92e(5S+GO;J5_LtljGM3ZkO@o5?m#CyWklzel8ZgL2$j`nsd0kI|bJY zzaADmBK+(UoFL=*4Z%x0cC_D(PPr?2z`nCpcI1&!>Vr1P=?|DCMb%Oka(Z7cF>1 zlf?H&KB?xv%e1?%<^hvJZ0_opB3(gez{fpqZZOp%m4J`U#m*5`3 zw+r4W`hoTb5WlC0exTingd0Wv-xj=2=>1A?R&khbisa+-vxsEWqd6Y94GRWEqJ5g zGQkNVzvl_=75@KSaI~av5?m+zct~)U(9>mL;SYAzYxA z_6y!1>pwdMD~Z3rNKY>=xGoc1BzTwL2C45h!gxn5ll7&$1=oz@{0~d|9!dYC;0me# zCBgfo{`Um;3I1Ggk*vRApNDRLi{$^+$S>uO!2%ocr%3Wo5*#b(rwZkPqNUoqYyc;{_k3a+h!W4`C{ey-pdIFpF3Y9sy* zPJg}NJ-2iEX2Cg+bNYt_M_zGNs%jx zKBws&k@0Y?;G#y(-za#>5a)kLaAptZe@gJ2^O=9$g13(oehTi#p;&Z%Ah^AguNfaBIPM`%e}dqmA+B$s;BK5sLe~nx={IwGas+R0 zWLzk??pDTI1?S$z_+r5h(f`*9?w9iJ65MnPr+-xN@I8!Q6g(vJ%d3LZab_M}?+Bi9 zH`D*A;6c%U-w3YU!{yNde>C3Q7jycFf~#;+6kSsUCtt+n&k)>M#r&HuxPCU{Qv_Gi zhXP#5f?KX;yhd=1jGr?Et8X~JQ}A{=a0=HJ!I>+Wp0foze&YCx1n*7b`0E5WpU(Im z!SPEu{XYdKzr*!CEx5OtQ( zu)U7sD+EuK`S3Eq&Hv!|>jdw-kn!z;_w_NpSMU_sAM&W+88|kKuIB|e-o^Fz39iR^ zjdXn=c;}DIkFN!1ihTYmxM_srCmhNAt)LG{xDFRQ@-yRO4J`6IS8(NT9KS?x!jDXU zvf$cZ7-tIZ5&Q3d1Xtb1`CWo17jXJg!BdMEpCdTN#`f{Wg8QUB*9gv)`T91&dk^RQ z_ZjI&m|sr_j=6*JOM;g?&*|S5TtAojGbp&Gn(;S+XI#(tSHTTY+@A4AF+Vqc!sSmE z9Q^^8KTYtQBu;;V;M$EGzgTe2HpZ(2&(39>DR^%l<39?{T*>8~C3s0T$8Qr{Bm6vH zaGCVS<${&iL)Qwf{}<=KRj`9j(!zDG;2xP@9uu7Vi||u$>d%bd5#0I>=l@)=L-f)2 zf*YnYKP^+4f0^HLdnO3>%lqmvg16I$Ok5`luESAXbe$wP4##-WwM_6n*`Jjv*l`e- zpDnm|4C6e(*qg5Nml)}P$_ZVv&_$Rf@d7c?Yl*Ad@HBFTX3JW zuS4)o*`M-?;MgBH|NDYlzGM8Y;Akt$hkY9JuTSjjLj*U@d}Px&$v=>Q7+>v1-G2d_y)l>s~I;7t}bQ#h~UY; zXZ*C_ISUx~2u?ne@dtu?W&hJxf|uYoqI8W2?iYJ13L8dfzOF0b_$h+>H#0t7uv*Ue zWWi16FkT^egXr&c!ELuQf7bz{cpf~czc2**L-2Va_^J?mQwY941V0mkUkSnQh2Sqj z@JI+Acg$$|4-UbHhu~vE@T?F#F9a_R!OKE$N(fF5!Py}=Hw5R0;Il$-SqR<{f-6FB zRS3Q!1n&yLH-_NG5ZoMsTSIVr2!1*QKOcf$4Z&}R;15Ia=OOsp5Ihos?T*poVL}K# zGz3oz!M_W^^crvvZX7$U=oN#^f(LNpoL-!Vi+xDAAI44FZ~uv#w%tC8`!U?K#6xEL z6S$wm{SQgAlpN}6F8wW2l)+cuB82D0kS^607wd@TZDX5c=I)<4-_(#}gf+ZwC zGh-9k91x(KVSspsX8I*Wek2&IG|;HcEdv7 zAe7Dm3IIBx&;Ws!qB8x9#o}N>isJ)G&8g|+JTum3gP8;H%W@nSBq7YYQKfJYA5}Ig zl|BV%REU|AAkcLFl_cX|%nG32^6{@ZB_QNjED5E~3${`teN3P!ntwxU3NSa4a*S$Y zAOHu%bGK3cU=X1V&1PP~tl^Ox&dL_)%gAy{Ta^u_! zqh$Q9)l4k?(omm!DDi~N@%SZV;KXN1Vjk?|PfIo!MJQyj(yt}?2xZCb4<4Rogy5&X zd{A^CfR0=fKtENdlc0l;PK_Fc_{?Yu(g%$h9@Zcf#0n(z_%TXH2as_(@^Lyo?jMol z;YjiYBRA;kwD@@UX&dLq3gh{2}$h2laLzoR5kOu@Xg94%y2niS^fe=GK1p-X` zLfB~SL;?DEJ#PCbMTNNi^%MfBZvqX|z|=0n)LmLjNn%sGDB9et05;N7-az3Rmxy#ue#cgpHO_1dNhP;Qi$ifoAgoP)nw^9t4nh zXvq+4B0M05LI5QVv@#%85*ZXC6f~M}L4mBH;zAirHUmL9vW^=bYB2;81Pz8@n3>aN za{(!WgDL-xan zylgq|H!nMI-fv#EoJo@xIGrYMJ-@fF#~*al;+hwFn(qMu%C;J0pHVOuk zQdI#!gU|?|19qhx^2#}ydHQfaBaNKCn>YG&AN*}Q9MdWXd@+y=+7=8%m{+)91Ik&s zSoy;G79WMgemcF3eaN9tC}d^eIqL> z`5p`kI)D`6fkSii_&h@MX);^9JXpC*_S3we54S~;bf7Jm1PbXC+dTZSEIMY8 zQwsaTH;Y}&@35Pm?>9kpmX=HN-Fcn9P=|5ixiQtoCHDZ$K&l(0eK!C{j|Ju9muo~b0 zf2190(Nd8_rGX-vsDvb{qbNtaqkY=irIHp}C>oN{kQVLZ6wy)?rBqTBIf)cL((k^X zamx3f@9(-k|NX9C*Cp?JKKFXB`+0i3;n6^4D$K!I0n*sPh9th*4t5AsDijkqAS)s= z;0ZysHz>idy2l!^N5rF%2LVE}L>EbA|T zRuUXIZmR$qnt&2SMuWxX4Q7UGen2uL971DG6`&bFpr9$j z%HTf)T9lCnwj2l+2b0J?A-JMw3c+P0c>*j~s2*S)!~{f_25{EjSfC&}EbIv{#lSyd z%vdlsz~*r8&_YO|c%Dcm2I+~=3kwV@VZffiIK+WEk&v@kFAQ75ivin7^2T8}NvPa| z`;KEeVp(t>F$sk5Cp@#ztpxMK(-^NT&cWZoF{(ffv(N%Nn4r|h4u#}|ongTHD2acXYNnnCifQNqXK;uxvyiGgyWox+X9nj#UOaV*LIj|B}y zEHIz`kHvx}0d#vXGZN5_Ao{Gc3rYZ{L1BgcKw)8d z4(>RGG8@_k>UyLC;7QD)#*?V=iKn0>!|8<%Kr43&-mkkSPT4b_s&jPFSnVlfByxcs zU;q%T2lXeAP6;GyD_f*n0#Nq8kaI!Tf14%lp1x!l%mG%wZ7Wa-q_BZwtw07k^o8^y z%LlYT%bM*x~L&{Sbmg#NBQ2%*9- zcQ9WOOOxD?TM)PisGo@(C6bpL3GVMgD`;*0M;6`#ZV!X=0-lOAVc5vX6#w{_3$iz#bF^UwUn)mOK0+nI|tO#(I z0AQ10TX5jrV0E+)L}B0t6RK*E4*|d`ASq`uaGBwfke!_o7aE)^*b91ZYD<1Dej;{3lXQ0?iRc)_#PHA1A*j+lb|C9iW?ApaLQom&|>%-?j8^Oy}#|2;QGQOb|0D0i+y5%6QH~0pZ3HeZ)49d;G zKlo!uVBHhChKT@>3;q{B%vInolF=V$vNif@bBltlKS&T{E95?E(0YfDi>J2I{G872 z)XAJJX%1-?or_mvoBPIA7*bGT=Jt5pp33~Hv(t&`kQvK-U|Hbl$k(;8`Z1es{@e2J z^?NtoYuT$}!)L6Px{cMcY(({?FJ(e@r$Zi9x%T7jC#O7=0s=*P(b^`=zj}Pkg#Bq*3YR8FqM%*Hsd1&l!i7I3+U57` z&@nPP8EUR|!>rNr*CnmzO;I)c22vA+jvUl#NtFT1M?b5NKeal*T62@fr}N2>uCS05 z_0H?5nlr=z&*)6Cf|wwdBXUdsOnk4F6zEgclhPiq-ONXw8svQFKDUDUPLJC0X^+k? zdx@nl=PeW0`F}~c_JLb)oa;0M($(%}S81I-Rc^ zeYoXA&&pQL6GD%A=kMi+-_o3H{va3=bL)P`kYtwsH@nU`iDbp^F_oTK7Zp`=R!8(3 zTu!s{u1idB>JHc^X>?)h>1{hNh^UP;2=(eq7SiqN))vfCvy!TKrm82}1d3?aQ-|>h*UTy5N>j#nB~}h*4K^((%%$+dGRU|RaUO4YD)?lvB;|F z60A=D-IdAVvHE@j%Xrk!6YJgNYqd^xuF(4u{(RV6CA9PVy!Ls$4M{!}N?a;|W>@7V z`eOO2UzzGE>r&_Q6}KOvN!?N3BwR|08kQ+m<9sLfmh+yTOlGBSr|y^P8%8JfJ0{qR zWUn5OpDHpx#cai|yi0(h>fL)|XNj%fpq07Y_`czk28(w~;q zI$b$%y;Nnik#kVc3$+O6+?u(AV>tKZHz3 z;Z3PvQRP#wsm-fS~jXL)Jot9!v&kvG-)m3w_-&X=4q`n*BP!)RZ^RKh@oSmUD~ z#=ZkREfM4KQa)2hX9Bv*yClrAY9ycV60<*E`A2z&VQ^t&La?f2^&xp%p59x1_g9qc zjni+x@%ZbiT9vgb!S}c2U)7j)<%^18yF!k3*S3f-n-AL={OCos^R-qV?=?&MOKqBX zZr(WitF+;XRN(BMRwez-NXtKbteL+;r)G1lbIv;@}4~JL!$c2X2vGa<& zq`TB^HnBaN;iVXAHFa&~O|PGLL)E$CF+PzidD%z%BI5amCAQWTDm@HnPyFy~M_Izp zdr8x$Y2#g+emqDaL6G{umP4@8&q+QOwcwUCnEnH2eO6j2Q zmnd-&hp;S8KL^nCNnB9y36`hwN^?A zucYs@rTH#Pg?oEbPoFO*@CwGQ3@_o1cL;G9l(_vhz<%ws(xxZe#tFn|!-PD_QLiM^ zoY)%9Q^u!5Jo)?G#WK14Zb|=iNqJD<(WlOP(DPGB_>|6d?UaArKWNJ$|>r6%=K$|FKo?y z#pk}~EuGKZeNTh`qq~FOJ74j#U!z~|$m*+nT*aNo`FU29N;R5UmgaanvE$Rmz~sK) z+s!TI{I@V&bmQkNHuI>gH#3-%3K?~#Gv!+4-=eC$vpSk3X7j>K+M)373?Vgz+DNc* zJ+XWPjjZ>0Ktklw)u`qm+f~nwki4aeNBDs1u7;3O{DfIvM025PRyG=R^4KAxbG>fdB*jD? z!&Rqa*HcDI&eHPiBj5Y%JItjhk@U$sFfzos)>MxiAV{2y)ts{1m-sAW{iUON*Qqir z-QfeJtTi4Mx)&x48VI^~(|AXv>el4s^3IIjPxCR5`OtYHar@N`&DNT2wa0qCZ%V(p zmg@(H-?X8QLfb|EufMqz`Hdy+%3E*ixw5^|Q$YCa2Kt2%bNek}+lk-v?~4v=-8n=& zYW|Nio9bI9|FYvLlD1-p`RIbGM_YU6Q#*_;0(aCYt+QSkHC7tNB~iOm+P?1XA&UpK zS4O%LvfUri)|DSpy3Efq5FTohRG&n9t1!r1Omyy1pG?orM2`)OrX5pAKWFK!%E!Aamjp*dZ=u5ZbOUmh(}(T zn`UW*+4<(}gh`bS*&>3@gYIBwub?0D%Ir6o;vN`i>8pR8f880wHk$S^`k6by_}sbU z^z@`{cP(n0_SZ^<&TOp4?$MrrSlmL-wu6Pzg%@%F_RuL--;T8xDD^8_s;H{8z@P-u?69##>4UeHP86Gz*& za=Gm0r$L$-a|g>kHvNp!OUh3?QxTJN;jx-&v&2@RH$QmgiXA($)3qcY>*-!{-gt$t zRrO%O*tuac8=Kq`*ZrzCI*krS4=J)mlgrGCh{ez6a=DlzLnhjz>d&NO zMIqPC&{=0mm7fY4dSOXf5>a1^o}U@jaca@5F%mPq?s@+6y1XD}x{Gksps4gN<5XI= z5%*Yo(|XsIChRa^^$ZsU+4Gu^r@|4QE)(iR%wZ+#uRo?2{DUeOkuhpNTX5 zDlWpqXR4N;7$_L-@l@ge#QkaQyYjWFgKQIx&$bhi+g^L;j!3UgDPP}|8@Ahm)5x@? zC|YDB*5TjUm;bH3eODzHTi#Ztniu)6w8qn@;;jJSYQ>#~G{S(&@?J7zauiVm4pfBeJLpp{9t zj27vWsNK)}VE(}^ztzbHc3dwEdP5&{kG6|>!MR~m#$GuIzxJBAIlYXAb?lMun{kxjUfM;x(@QohL<;=5!^Fi0rcxhwj zn#%4pY$ p1G1-%FITi$o_|PZ`|5FFwae)_W|EdP(!{Nx+#K%9FbXQ+e*h_D0hRy& literal 0 HcmV?d00001 From 5d7b4c504038b3744186996d6a646d8a32596dde Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Wed, 9 Oct 2024 16:18:47 +0300 Subject: [PATCH 138/183] mac libs --- epyt/libraries/mac/epanetmsx.dylib | Bin 199560 -> 216960 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/epyt/libraries/mac/epanetmsx.dylib b/epyt/libraries/mac/epanetmsx.dylib index 6ea250f55e8fe3516d189e065e8a208421aada8a..361bac21782944689715a0b0560ec5235e6ed865 100644 GIT binary patch literal 216960 zcmeFa3w#ts_Afq@%;1QLJ<)*Cg*9r_pn?R+nh04lI3wLS1Nak^C@&2l?)u;{BZz>3 z$pF1gLv&@u-F0PGcNgF23Pv7bCJC7Y1QK8o#Rnil4}%auLkO6;-&57|NCL|5{_g$X z`@4VU^Xch&o;r2v)TvWdr>eKMeAjxB!C*`_7z~~8T!zOFhtE(3m%(r)o?S+RVa%9e zjuFFHP}{%4q_g_X2#r3JV9Xfz`04I=()RGIJ$c+;kD@UA$Zz67{NH3KN%W2xGu7>R zWNIv^J-qk3alCeLaE7Qqn!%#OqdL=X%$VY*o}3y-usyu8UvhYjdIs{h!HyJ`%M-8RfN=B^=w@8hi-ZO=kP(yyJL_=FyUZN)QY%%e}msYd>@!z+m*19+4_ z`Xh1p37U=Ct{zSSZfMU)#{}P;p*eF6JdRWw7$o`e}D=@rowZTo+Fc+{>Uo-t#b(%^d>c8PN@LUbzm;iR9R!!23Ny#yx_Rx12? zc&HmDh8Iqm^ssy4t&czU$oNSQKRMq0#MJ4%#ytZs($TN4!B9f{&)|beZj1UiBpI47 z;r)YP_TH9cm<7Po4<{Ki(hUYg8HQ3m{1)iX-|_B=G|_O1>+n02WcW*mK!f2I2%~cT z@aH|N%O>}?zS{e5mu!6JhWq;Zp70~L&hTRl^!5Y_0p@0qFY@lW&`kVrVnSD275I!f?-PZdA> z_^nS(a#QZ7o|qH`1ZNb+4aiG)H`gZ_@=&=Rx}WGwzwWxf41Ca-C|FqRg})0FxIlpm z6u3Zv3lz9OfeRG4K!FPsxIlpm6u3Zv3lz9OfeRG4K!FPsxIlpm6u3Zv3lz9OfeRG4 zK!FPsxIlpm6u3Zv3lz9OfeRG4K!FPsxIlpm6u3Zv|5qt6T$H~RR$WoL&3&&J3Fg%0 z_$Sb>mvD6{tFlnBP3>!)(;9(KEwvgWk%%y$#uz{zq%Ym(`AXihdQM46i733cQw$us zQQjFiVCiw(xG`+X@#kzaR#vcBxd92bh=I_J^47pXOOI2=hB?OwsIe9ijbh-)jq>rp zK1+|C#+txh%f-idtng9bG5csj`yzK$o{kGw@VfPJ{hwqT&lcIcDSk={$v){Ik>TIi^e^6w& zqz*CW_#HXl#o>b<1Ju4Zae_G1x4RHU?81N}cB3Y&N)sai(ByMDU}M#G3hy10P&K=J z43)C=*kUu*tS1vf%>%qdpI<2T!sjp^VKj8g$3TpYj7nRGjK}Oooe(zTW=VMO-w719 z8xIkobTSGbH9WSB5$cdt-qK^I@KIC45#!FlkitGy8{z5_7A90Q*;P|-+ni?3GQEjFHerCDc&3jSsYEW%XXj#?j_hKSYi)r& z7JHAt|3Z#&D*b~lU&MWNnWWt5l$*4^M~nua-+hTodCrOmj}|uBlra{07bglMNIQCn z@(Iv`Xy6pp`*a!@3jb^MKUb&u-%5oW68gJKx!p-U;w$Z%?-)r^q9pm&k<;Xq8`}`1 zFo8eNi;yCG6^V~{e~}_J(wtV}K=+MR3~P(7Rw?*zd$`(dNODMyI#N5h*%`RjNg zp=`t@{G$BG`)_$(Ci>EyVf3XQ)gwg3Y!;FXqGAwbN4*&I)qfo!CPYVz2&F&3Tw9WV zkmOeMbf;Qy6YO_IdF67X3EyzsCRp#bNX6B*NcC|ct#rdK1PfOe8eGcL87^OwQ2G|K z+mudT|Bv40ZqqcW*fig1Y>wR7H$TG9O1PLEMky~$Bg93 z<4Iob0Hr9J7PwHR(9}pI(gD!uc7Q@Iq;mPb6G~6O@Y$x!HrXQo4qeZ)#?YJ~JYaqu zG@Bq?&hv-5vJ_uXiZ7`m+PFhT1EI%!p_8ptc0%;tHqpDF60F*VoBo!ogfS|cW#5};~i2wP>1?#J1$h#8-aiKw*Va3K1V=+0#ZNV0kso^ z;gD(f<9+!;)>@&=cCd~M_xf3z5D7v_?a^KpO03m4KenTZ)F!&Ref0NQV(!1UkKWoQ zdS3hJwQZswZ6Ey#i?*g#FdRlEP_%!$q(Tqh3Tog#aezMJtqDRl3nac+2ngD24o=m% z72t|eAL7;18|vFLZEGI|Yd;6rTmpL|iyXnq1W2=mgVdSqg>!&Bc90RS1E%``P20gD ztxNQ3Y&V)u`8fO?5Q$sItA0H~4m$A!@V8|Bc$r`uLs(_!kB*vz66 z8Tf%Z;>1qGiB=Q?)=c2QzaY6oeLO4T@a>=7*Di-+JrHdHzV1~!wF^dOgmRYE?gx@+ zu6P4GAsY@vbUVo`ZELkl4) zI!25NSqQ!Oc++Nl5WR;p#Gs>=jRA75e{hl^Xs*CN{etH5nCk=GCCUZ=f>XO4KxOj^ zID_UlW2s)(T~5`r1B0a2h>=N@tE9CA4oF4p$`d;rzVFKM8#1HMbkZ!>vNJ^BPxYfgm}IW-xEpQ zfeeay3;r)LFUP;TD%>Y%{v%v8>?-CDSi|D7YG?$p&@Vggd;HUCl zMFdw7G7>nbjXprl_%Lgv`|pDWh0$0f4d7c)Pf})QkmB(f+?*&w_cNlnbNKL#URY?6 zluJc9Mi)`JM3hBTr_OB>WgGG*KV%y{s*1vWb)LiFBTOBMw+EGfTb!v-HiekA{V0^U zi~DwxPgg@mh5r7H(NLx9w{7@~_)@zGgp!kO9~r#`zj1v5kmwb?Xp5wfv-TQQ+iyxyX#@8Tt2Y#HvO6Uq+v<3|qBVjltXnq8N#2q>Qj+2Q} zf)>*kx&Ef4I*~&$55j-W?)+LoosH~baigeoxd~w<{rhBkvQ-=8nm!-RZ*;pvb+)l& zW*=jwD7U(g$OS1#iHd+|C&l8EcA>)5$L96#vU!_-HEqBe;$x?pdOH9QDK^b<8Eb8k zJ!=Td&?&^JcN=B%#z9GjP%^^SKq)kY_9A=@og52&3K!53R;BkTX&EDw{tbch&cc!d zUl*3t{JpTG^?=}Ags_s9UhYdvDr<6fm$WnqbC)5T762@;toa!L4-byitwDPl@=pni z<|0;DW$$A&)$~W=sqiZ1+mOoJe9_E{z0Fq(zA;p8q(;u|jbLpWAYp871YW}B<{k)I z1BKcU%15d-bfPqLE4i*F*Y$8s2s(CV8fwg!BBdd}_PH^l+C3R=2(F#sn-;ist|qk@ zJVsNWyY?6jN@}f?WKeA&#dm6^LNVx)?q zi)=#0o!XACjRu=sBUBWOM?!4_dGl*LTW#x52}Ago!qo27k8B)%HY}It?C@^0i1W?P%ue^Ux;c!3IInMm?gpUw)Vug-XM>w^Rk2*vT*gfMN|$DRSZsC&>Cz4583bP^{5$1I81cqt$QdY< z73KM32y;^daJ*P3tp<)Z)tSuP`S+hyORtUdD8B-Xbz}2ax!(z(s?M_C7%p!#9QmBhZ{Y2 zM$8M4o)`Jjm%PZBkj4~JltMAuL1okqYD+?st#_b3-J^M1K0TTxY-y&1`mprw7ksc7^3#Kb3ndvmeQB_8$`e^r z@{&BShJP7J9fIg^*P!`2yomzg&O!4PI&v;~wiVS9l~J|Ydf>>b;hO>8<+Q#TDA0fi z9p^Gza3E`141~1&#{g}yb5gnFX;xeCA`+6?(+m&|vS*;5O7g%AjD#4n+Ndq@^&Y4y za}H+$Gw9B*wW7vsg+ZGT^nC?1AZdMj@P;gzi?Wo|>G-Fy3^I>or>NwPMhM1`uIiK; zj2TT+9v0PCD2r2FNe~kB*9A)`AW=TQ_BjeHHs1&kV#F_-f62;7*UJEJ1D!5E-o*+? z(hHbcjsZ#Vy@tAqYVIBy(baWSAOoxoZ?7D1TlT7jeH+k zo>33(7YG8am&r?NZzV-{rJr7kIe41G#Ohg%ul{zhG}K|C^i!x9k{qECy=Mj#kMJFiYdW=nHwD5X>Vd;M+TFS=yGDIX-oq7ljyxbIJUfKF^b0TUmmyf4SEy$K|+ zw1~wulrRk?*p!Rni)(hD!D-YYdz{55q`-mBlG?YIc-Dfn-=UPqCYO3kFKNyOLIHiM z9@Wt?L1{;{2^^CzpgcI`qo~DypggC1+$rx3k;dmN{zeMyr&4Z-m9jFSIw!R(R*Gai zEX}Frg}jqc$Wf24u^Z^d^7-UE2 zZL}9!Gs49$7=A`-qB<@eU2DrATN~o-?6G z5m6%bVAUA)M7c&g@NeWA&rAAwz9~m)l=v8-w;5{Hc`=)pXX;OxmY#2>!90^dnTpRh z)0I5aJ`C}pUgw)>Kkns0omNt&Qy6m2t4{CnObaMe_4#I+!81KXnHHaKCI`=SD`k4{ zd^1^jrXixB_dnckpGYtA>*WS(gjWtw-snfmig_fjTW zPdhL4F5;Q4r%c_>H`BIlj1Z@GBhx{sXXjPYD?HO?%JjkcW}3(|{gpD!I^RsU@k}1d zB%W`k)&^FmL6qromT9*nfAKS-wGNqnMhgCe!#xePg^ewTAi`;F3;U%QNyY-z(EHHn zFlIsi|CBf*356uuJ(OiOvgGX6=`La@(`CP?yu!vqXouGk6%_M(-_wi6+ImkH5fj8Y z)ijVMtZ`{4>y3u{0Ptfxm!j&$c*^k{#&ZZ7^R?iM2kzi&O=5u;@ion&)nKWGb3hX-SY zaJ``g5f>o>Qy{J|w*XblN8H(z<~mHTEHuRuX<~qJeohVLKnSg+iSk{R@Wo<~)6c9=PepNXlIJi_w$p z6WDxQEf8~|6<(n?5Y{w?w(%?G6~|CU@rtpy^~f&gJ_xYbb+yZ$9TgaIQTj=3@fN}c z3&FDa5=6(sry-o?PO|w-UPAC#7F>a#}Cd#D74A-2`19oTF?nThO%9mMYNt!>u3 zUBxGCkt(~~eLFG_l!vV_Ns&s?TRGH~|EW;=cVxCJQ_k4Dt;z1b_)l^V#=p^XhqJhm zCIZhR*WL24k4$z2YnrXeo;$A;!;a#%hQ0u-*6>&BO)YAz+S)QSMQq znoLxa)CVFJL=BralH?vDsvm3cNOHa8-P0Z0K`(F61Ry5468Vxe^Cw1hk)8t)W0&`0t7i7~NN?fkFHT5r zmk+TFJ2p{F@}14=}}G7Z3S&;8<}eoTuIF3hbtLij!m!&PtLPa>)Mfa-dJi?=Dd4F z5_@+-vZv2X5L&*5_vz{hHlf8oLD=zcJex5zmHYPg*hR_@dUlqd z2KjCIUkJVs#@6yP@Z}$KUlrO7pWc2f3CSQ|4Fb{WpFRvZQt~1MC)Nu+H^^UCXpjc1 zPis?Vll_ZON*gXndQU>qBu~0haQrsNKx%w#`ch^oGg&boK$udX;Xl7w7}AWL9j)Ip zEOInDi-kbUAu%nRcOXsjoN>&(i@7H<_ZQ6lcr4ue@dCIF?o{msTyY0{e3th9S1ca-Y*$WeX&)0AxIr-c)gP3 zZ65dBjpa0KNZwx?+}$K^|15*Mi|FlVa0@wgl6RKDz@i05Ku!XrT>;Pbv)1>djjS3B_fsMm2XMqFtY9trmiF;awu%2!hxoy5;@|2J-zy=WOcO}~ z>!2S^#15OIEa-qbPP=FiqXOt8i?;A)`6bmyNnNZ_?bs*XlcDV^J8nQFKvlX)r!7Z00nI!iKpjU^$S zz0!g-M#)==LCue+#pro;xzU|92*zZhYJvpZW5ULR-54!{+;@_MQ-Qfix<{eBVL?#RDat&T_LOj==5KN%N*6;rB zp@-7F`~WJgjD&pj)d`DUhCT`+CEvvOP@yj~;sz-nX2aEjdIJ@ycx$2k3{ktiE(N~fJd$CB z>5lmgw23F_Sr`vl9c5rs-*ogRZoD&E8Nu{SSBYJ|W`JVK5Ea(~8KAu*P#dZE6VVs| z-~}vEO06Vciv3KX^eF&vLIDLZm)|LmUl#5La|kCCGL+%+i;9#PO=?F{yJB{s*E*;} zq(f9;CSw(qdov{Ec1fLXw0%sYm*j0u7v`>n%c( zR6tH;)(WRGewkBwqMWexNKSRgX_vf73WSrSNEK8(li>XqaB$>o3v~lp$ox5sKhBo9 zEkC;C+CtJUx=}wf)w1rmCBePXg(VCfuB33gpL%av zv=i&TN(*&fXg8j!Pz6wS$)8CO9Kf9Bhm@_}g8yOl8I*S?+-bvh!p+0e?Aut#HXf2a zfhEmjNy&q>c@$=^XFmHj9=I(JQUe7CT0O5gn4~&mYpOE3Z-ZP)mb@FOM3a>PvswYg z)Rn>N%7R!#n&~nYbeYwaUrUW3_!__yU>uzQ_U8v68RxQ2VX9}e3|c6JNyTW0 zl|oX8;L(r_3b7`JWP;`<=+2(^q==vP_HP}e_74tH)93OM6Xa9MT$YiuLJ-NF$fhX@ z4erR;U+=J#$ev-L;bUozA9D<$l#Fz|r!eaO3J!E0D=JN$XYnKOhdu_isQRMZqOHmV zjk=tH$nb3w7QKpSj4L0*OV&v`nRJobLPn^={WQQdv>9NyJr?BYJce%&7LmktBTV&V zwg-#6S}5=^791d4o>C8j%;T~p2$X*!VTS?cFPJ$Ar5l0#ptePIEQtyVEsIuDNj0EC znEe{@BD+FS9ljKXG^??Lstxy$Q6^*#rz=s-w-GZ9B9M~%O*R{C{CFXM0I!7nGg$t` zm{%$0cM-+J(@2m|QUpoCZrgug!Dy0kJwix0br$AsCYRhG^?>eoDpQzCh6k_#IxWek zq(BG)Bp`Ytrm5GV3x=PNymdxhCxxd^6)~}F^;FvBp!XnpV!-IWHrf*@iz$s|Or!3n zcRc51Rw=*P{j})aYNXE6ka3R2*8DGtuCldXI# zfI{L%Pu^zp?t>!qIS*_rZwD85TYUU3Ac@IddoKNIaPi2+CW^J!TFw%UF|xDdt%Bkc zz;oK@`G98i*MKk23KHzNGn|Z;Lya6uQ6VGx;sUbpz#wMLiP*8}_Kv_OMYNEjcxh@y zgWW+axQfc}`C5)b!!rrIL2BPCu@)e*KKhK+slZ$i!UWSzUQra&<-4^yUx%;N+k;wj zE9#VHs%4B;In;^$>e4b4;l0D)`I>cJN-z?mk5FW@IF+ufhu(z_wvlDr82&iNA2yd8 z(X}u;nV7I{T-IiO1}lRFR6SXph~Zn5m(Yq0hQh7bVzDc4k#0b17SGrsn}d$mkrFef zC+dTah16Gqjxq{SZpW%2cI+Grq15~X`-V^z%b+U0j-`lt+4JJ+Ymw+T#@`r+YB`wb z0-sE*q}lT|yWrFaoLKC7-JTzsos0YvkY5?~B8)O4P!_^T%GC&b41oyQjSwt^6T%4< zLVR5&SGw4^0>4f7GmWep^Kd1sUUvtPXq@h@2H(J#-`c%+4K18{%Atz+p^DXp`^uHk zxPgen1|(5OhC#^@n8CuzLZu}Qsd$5!9}wkZg4&;mr%pCP;QL9DQu|}^=%AVUM;>}x zuSzIq^~{HpBTGm*1CI@0eJO7&IaycAn@CRdC*+z$&P?WL-*Y3sK+JdEjlkAP>oLFb!HI^QWN z|8uVMeF4QT7*qP70g}>pn3O&#|0}$z?WMDJ3cfpl25EkRuQyzd%x}Q8S7I9o3LG@P zS$=4LP&$CHkL+7JYJXGBB)mO|x>P9=CdlV;Ts|{>Y8=<6NN(%;)HtqBae+OqAwi!S zr|VNJDk{XsotHkvg!s6$xIQ&b*QY2#7whAgKIQh%u*1#^wb4iGARW?7Tp#7`1bx(9 zi1{oN9|4xECc(}1&p;dfQ}-q4pGxlJYq*-mhD4>H7rfNsF6^+NX(RG+@4jR%-7wos zo-*DhABS*={DhO^8;#@z|L!h6HT+H<|Jp}sM$i-Yg(?g)21)!g8 zB>gNP`nI`m#X=|~Zhx4D*I@)n(9a<3sknxiOm!k#TtE9YbqaKum{vyi)l4gU6b`WW z3`h#5mAwjoXgg$TB78~dpG6v4U$7w{jbDzx?pJ(7tEvxdQ&LG5(PZ%%w&>rb^=eYt zI*~=Zr1Z^N4~Qts=zfOI+wo;<78b|fS)8&OAWf~1@ztovh_elZwa#MaYBrN^wftl{ ztaC%Lr*-ZiMntT0FM}!}lXc#XF;nASW@=pjEG0J`xv^+)3ZMP~tQNcyU~R{?jJC+fV0B-m zgF*A`Mlz<-<%5{#RO#LXp%YcQKf-?&m5xb;L2;#RLK#@c{{IVo?WOKqUt2?zQ3{5^ zOTC&YFaJmNwcbCeuU*z|e%)Sun~#ncSJY_!EGi0D)PB!KX=NpiWukE>R5f(UUyI5E zP}K%aYGFrAA0}BsY8F?&um`N%pNT$Kg`k-J#RLx5#kdj|7z!oMJ;CfOALj5)M&TvD}&e4SZNrI*C_}qx4J90Q;##Y^zo+V>wKg64hZ%QI5lP7HT z#JQ2p|LRDmaMrSnBhxSH_tR=Bd3q@G3vB}LC zOE62sWC!atd$C?arC3d!*(9+u(=RS2mBM*3U$3EvG?Rq|S**0wbXSz$V~qAM@Qqwa ztajl0bFfl~LYcqq3o%+HBS6@uE6vFfi zdw^63%&RDb=@<3@U-)JrOuw)PGI<(W{~0A_Uaa@dYnOuujzo2W;F zeF?N5lV~x&#S?;I%I{!LV)L#q#U#q;!S-~)8<$fJl-_XOjpb2TSSY+7YY%{(v6p<4 zgKC}&kLazk*yScMZ~!JT`swuO`H)b}+YB(jpO5d?EU`Zk=A5DTJ zk(8JCT%_P;9#afjnrPwQEGom2@_@_lScJs3Y>~?tRvogBBDey+oa@snqS$NFiSIiBSorR`3F4p;Ua*WJ&ZuDLq#E3 z%%QGHhQY;I%Ozz#3Fdp$l-I?;UTnJ0v=qXI@i+LSmFDqdd09S~0NNV`9me?_tP6Wq zw%v%sE^*?0672jJKW_pS`yOW=yb+ir+yD(lp7jaHaLHxVBofXz%9&`rPhd?VDT|4C zQt=MN7whpGK))A=ek7%gBj~(_1410`vCPdTamITIfdZ&?8(a4&FuW3+r72`J^+VEr zR`ebucjjT$s@^?G^lrqeRjsW@y(oW*9evTb71j&M?#n<7({>s!>T$J)6sh$bK@Hli zSMhkF_ja^Q8rH{|8!ZDjYoG0C8Mv`tRcR9Q8$5N?@iq}rl+@p#Z-R6WSvf!8_-Y>H zenf6W`B4%kPkGcPH{(|h$>@a5dR8&)*?^s^S^K6veM6AT9A|k66zKn9J1uqKmYA9VUO`(GZ zDfoA)<}~oO_Q`|H>R`b#R9;D?{?GQd7%94pfmc#~1u#n(7}z96rz|e{8~45KW-T-y zjn7v|9&X~o6g7-ZPZEMV%tk6P8?h_n>)qES%tivg!>w!nPh(|LUv}OJD(Ic#wzejfre_&T;?Fdha zmP6mvbgH=$WO(>0eSJYv9c;(cTiuzJw_#R4eO!SV(4NCdp098#%pN)}a_wpwQWDGS z9WO7nG*%wtwOOA){qgnaIBL;QvWceP>KmQ-A!= z@#p{5@|n*}Q@5cvg0O2k$9nw#N%>5|xo=!JmqGrWT^wFbOx0{!)`7XihnGsqhgp1*@nV)f%h&*J#>A%MEF+6$$D9JTe>NI4 zuA|cYv!6_?sue|r8Np-oE4mVojURe_x6aCwl!ba-`-dRUqk~6t+jT+^@Ca5JqPcgqqzFmU4o_wjV>v19YdThed zr}y;5!eY|RL9<&KHJH@~<~h$)(k@a7HIrDp2?HsHiG3#TOzSO4o<}j;u@+*sGZV`U z+WdcEqv`ATNXTY3qe5kUQ3kFWG2hA|tzeLFO5(HVdkaV1~DsbnH7o8M0`aT;USSetPS zHyA}H_jx2Pe`<0c`g7vseg!Cq$^Az;j6_x)YQp56=^SdoY*uu<+hOv|C-?8L2tK+0 zSa)}v-2V;5BuwtnBVzpz4012JZkzc%$q_!kZ_Uv=*-y>y(~$oh^Lvr_70|RLEBO3A z4*Iny=%1h8<6cel*W>7H=&$!EsmGi^f7eF zbMY`LU(Hi=?6kf0PD@poMqO^(d#uy48qlBK>vs3nJM9b(>Fk|0mmrie2yHv++s|q$hfjvnqAcaH;j7nkwY}Rs0Uz;N<6WF%U{213TY;#`=mHQM9 z)K%m}pnsipJr48w7MNP-*6p6DSdNOVKRttPHMqF{a#5K>%`C}VumrU}DpCv4z6Y@s zt{s1e52YZ4VKsIY44UCq^iKI0!;*99Vb6OZI(r1hQK-0beIoe}grOgwgmolHCmMKT z;;5H-9FmF33K~Xn8b}wy&qZ)V@ob~$S1f{e=R>-?eRrPSKh~A8--{w%M!#>x z#rUD|mY?89E}#Hr?d_=4mnHti3O_7My&ag7;nsdB;AaCI`1ZC}&P z0dFq>95wfT;1CVgUO*U3n4yCUFdt;WbPRD0PueS*l)@fG7}9-u11#KwogRPe5y}|L zA@LlMzv#dzM=lRLiZD99xe#6$E0sg5q%*TZ={mOLkZUHQsIL@a2XFN}G!>;?&a=+= z89a>4CLM@4fzJ`Q|h`fe~E{PGp z;}K^l;^D-I$%wEi^SO=Q?8nxWaWr!Q8s{g&UHJNxSd1OoYN%vbp890gUHZC|cjlFc zjUE^k^}jM+3nSH{8){)whh-UgJ$Nm?_>cp4bNrs~fZxsWtPDS$ibuh8 zKaJnvyaEqcm$alaADsoiwPkJTSG}w~e$_~^9!p>lRZZIO z;UU@h1ZCrk@i6y(7qOz6TKh7IJM)W><8%wC`U=UI)dnuY>HL|t6Sm$YA6t+e8Q$U< z?z)E7*;1X?LWC!#UaqJ91gUfCu)qBx&L*18Fn^IP?s0G?!6|z43~t)E{jnQ{kAVzu zK^hGu{kZ!FK-X^N?$2QJrCkR%lj6`k_j~|El#9iFu6obiFkz)JtE~y^KPbyyC}TJT z_%Rkn40geO%-d{a5Nv`2n^38Lj6-p+)=njy!+{s!Xx83>Qi=d40vOgg zz>`2q8PGnl_*WCBYFb6Ivji^i*9!Sbw@1vN>pW`1@#q@dTZ)(Br z6I|(xpRepi`0}ea5Wl@c{H1N;H+6_Vf->Uyt2)GQX%oMuL;SmK;{Vkleo;bvbd8Dg zzxQyaJnIa0#T**=D(yX@dr6}Jb}in@)~zV25taHCSPm_8Bj;Th3pvifOkHDR4J5}O z6hy;7oqderEc0RLn`{9`UQ&)VQm4}MAMZkpD@(YcJWl4&W{pd(mgKFr$i|q-{P6mq zkBq~qrv!b4aKRBXoM%zM?SmDBn@Z6!^ZAu@tS)XrZN1wk7X7sgo z9J6*74}aZ}zi~F1bUX@B$}5x?cJnKdLARu*aD+UM5QrhFN`e@2DX%O5zetKovrtJ{ zlF42^D_)}P)0mm2FN6D*b6+#jSoSrNulORkn&EOOK7*Bsip9rx|Mk(O0Kn^|sK1u` zUyb_fxqo2PPdEH0rl+d};g6*kQ8im6a6+(NUxhY98~4=Tx%7tZTjaPMH)fd0u)|kI*FWwFn(C=_9Qh4GDP0tPk1}$*h3?S6 zy(@=?sC{uV_kfw~QU?gVvR-fq4}3QjXNY`6kQ3NmNGYSB6L#Uj(DAzk>$n^%?ls89 zrwod|#0Gs4IlhAR-!5SudMGpW8P8^aZx$X%oq|?EmNA?4*xCtz zyjz&}9FoA9{UvTq7}k9xrLqg7cT>=g;|`%{JN`y58H<(~RBX?|RB|=(U}imi?t?>E|mpBGXo3?mNf?J}4TQlR>St3kj|2B(x2cxJj6&Qal~@ zsRvrS3AKkA95;r(Rr`p zqfX>hdV_r1#GoHkh_GcVx;h<~s;r~xg~vP9iMU&)#$r>4;^1IW1JK`#H=Yr=Ya?3& z#SQ_Lw8v|(1Xl!;)e&DH7}$=c`lb!5V*LFX+#^R)l98WN@W=p;$!JK38+hv6x51JD zgp{zpaW9fsyS1=1K^zp3GJ)Q1cG#G1he2eKB}7M6Y^o~>$8r3)S!oMZJF)tvIvh@+ zW<}&yiiD9tGTZo!bFG(1>kV&;!B(?ue5%+6&J?MGZw!v}ioq~5FJlKa9BO7y2$aueQe?Y)ePBUmi zT1qo{$%+-PVP~++Nh~-rKwf8rLW|O2*gul^vKGEHXDcqOW)_4Wu`7AyTJNb&!rVhB zi>{CC(Za4s7ria8+1gCZs)}bs86R*ulmuHL*t?_%-fASqjlOpxnh4S5^Lgk(U{ZV# zrYO}6k1+2L78TgXM}R;Tf^oL4hs#fiDuKmlKbj$R4N{^zYr|l2PaXGMUG*(8$tPJm zm&(z*>aXDjkelMCeoR0*TwZqB4s+! z8yuFFo=ESJjNY&X8%dS24g~oH{pK+AP943(!%FiB;FGMmeUma4zG?hd5y#BslRjCn_zB3L#W9ti3czCt`46a@;M33H%zMs7Tf9W_6TVy^-(eOY6 zD8lUk**FN>rIKh8Q|?&U1LiGIMoH(3sd*pHM$VrYEoLDD8!d)047g%vg`1k)fH(0= zBNCl+w73j|Lw4$TmVG1!uI%9mDB6ZQ!crS>fkC#e_ocJ$Hi6-s4P~s$Myg@}M8|{s z41^Ir(jfRia}mxYgl@zFdQM#e7fvQz!G-Ki9J34op_Ay$*avMVnVX{X2NFj(R$_IY zgiua1HIYnhg41e0$>j4%$mBG86O+$Pa3h?_=aWNOIFrv!Tt1)V^7$l}&rMuDH$gtv z=<+!xoJT=8H*w+I_auu)C-Vl+6#9=Q6}AQog;fzR%&l=4xx;-KOg?ww^0^a}&q-W9 z<9wh$lTJX8d?uE3PfZlizmS`MMn22Uv_1vyipg(s|EJ|M$>D_Y1Py{lNwXEUk;h=U zUY|xa--$T1WuVX?OFrcZNhvXH!8z@^;=Of56E=qvZg#t~WAl6Bn z&tOYGBsk|C91`EkidhPldU;kgy#@X3s2a90_x=rgv7!C?F3c4d*7|6=(6eu3A#-TzDaZyD?VS?IBM<%!Benb_om2DRIxITg0>LUVT# z^)zu0EjSYYJ`B5y7M(qb06-JrI?~0s>Qh)a0gY;t>8zk@7ycZ3uryTqHDAuer>Ay` z>a&)?YPTQI+PEjH|1oENWa`*KYPS>4{7p|kfEz)Yb1>Dm4&S4XuU7&*Muare)d(GS z6-u)@e@WU84Hu00=;9uXqA5s8;|Efcw7wFyZdDd3f4Ar3@Yn>f$UkaVRKEg0ogaKQ zyB>+@SR3dV(RNV@AK7Swb-Vo8=kOuP=o`@cv(|0vBCTVs|hI$k~#?A z<=p1}HE_X+LL#EGj!#JHs3!J0)K8y~(8@@9Exdd_Qiu6S0IL2e%t!btvwoLx3DL9t zdj3QkeNnCZE7)XFyu+}Rul$}aNRtEd@V9$3V8u;T*3@IY0|zXy+(uv8!kIQL`Dq&A z*X%+B?jT!1FSYLm+VIsh%(4-+her{_Skz`jDeT5FS8*$LY8JgsVoyoUq#YjRWwz+3 zJWs2aqVj$-Tc}(~(iuKl*%W0@37loz3ATHml`nf%Py#AX_LRZN%&KG$?vHqbVWGTS zLXnD0^}yocGTh?A@8QKD;s=3K-@|Q&cz1af)xrv6IjZUp4(rp)ls_S2#JJ5ApN1Dyz;aP>_~~?Mex*>l37k$%+ig1(m8z*443lvB zVy{`5*_jshsB$<$@dtzA?rgy&KXyUfDu`$gPsw1#w9^IK^p#{lp?DSyQu<=zX&u+u z3XVFA77yW}_jh={MA$b#Vf0vV#puykr*W0RV()ppR}i1wvKNuoNqI>6J^17Z!qRTp z>ni@tDeo2o-{3F^b~TigD`~N(JDZ@##uIz~WRrUg8>}&LI%e8FN0ck3pgertB66p93-+? zroKi)= z*CQMi*at#P$OG~U;KNdYA)iIa(_hi(-UN9h#~ZKEHEc2JdN*uZ$Znc=3HHczsCpeR zCHrmSJ4tyli@1$!oQe5xhsjd=%}>1TQaw0NyP;Jm{Q#+*YN6>ecd)6U{wtkZpu_Z*JNMIhsg^Dz;NfIXqj!`=jkc@|4E9Y=hX!mRZ@P=H zVBtdbW-k+}w1@bVOPYl41x})WK+;l zO$f@Pb_5-76Ym8bD<~j#6V%(lZvPU(&b0z)Rnw)^vZp@2kEPuR2ydswd_5Fwip(vH61r){B?Km^s?MjamA zFik2>0kP6I6M|y$Ft8NA9kU4fEj`w&L}eZg34;_9NHx@oZru&*u|=Qb={|Te5pnbg z~GL|u`skOZEsw~N;J zA-vgIQjwGgYLGBbOF8bs3YrUpz$ZYF%5o~EOKFJeFBSLCiuMOv{&bW35|>hlq<+t_ z@YMvXkVsMaG$edB^rI0~&={$4lfw6ukr08DUUu^pvnNZ+8fGwAybUc*rxcl?@f9Es zyL+p1RNy>4ustBc0C|4Yxda0=-L}IXYiGLP2wahJ3ISAXY987XTpW`R;T$D%Giy*vdn(7QCQR!yHTRDh=?fRJ8}s`Bp!pL?j$I$A|qvjze588A+q6T*YN1a=?8qV}o58c1N}icLh$H;!;YeuMSa6wZu8Jwr(9^0k>Gi;wH{@ zI-t*=?uMqKQ!CfYAUfRG{{SblE!fdm4r3pouEdJb@BmhZF2{LV6jO+gwVQAU2soWw zjiahiZnC==|FA$Bhi-~WkuE9WoF|aL=|7>=gdjN(z<`V8Qn{6zFX+d2Yu*@+?`8C?zXEJXmFbBTVT3*k3D{fwVBwS~e3_vGfTr zX2W$EpohnZ#ke~;RYv__);~uw){4cj8%`}{0VxPTBbcw{fS2lk_0zX#9jwr^fs%hf zEA@#s1-$>55d`>dhtYr!7_egyKwPJf?E%~U{Jsd-djKO5UjtXnSFv*7aiC`u%m=gz zvM^>Qo>-&OaK#}+TF>7v1m~+uhH|^ziAV-pG>pgPC=mHZQa&# zr6qZo&5a-p$Bvr?@p9%(;@`_#k)&l&a&K^`Gyk;vYCRv0N#{)`OxHbYG`N?+Q2|Hz zB{&-3sKDr?m&b8&%6qj=4EI;)D+16G9GDWAIL<4OqwRQsQkLu3@e5b-GIVr|+7j%k z0v#*R@qB7iUYXbd-n6s9TXrsZjzoBpy3PuwgmJe7Alh{lC;M=>41F|4C~YNr%Ry~2 z!co<1sw(32W>R9!^b5+TEMfW7b@Vm*3SwGqGj5AxfJ%@FmYry@_cx-!c$#odbbND^ z?sq=~&44~U{yy^Pun@xG_&6MQ{}KlLAkx^uo1^n?Lt|XlvV4p3#cxw8`^Qo7; z7MSv0T>g_$>06Srj#rGnG=3wM5@a<6YA`^08%UGO=3Pe=Hayoo)C530;v`(r2w~Az zjA8||W}s}Q!dHOSQJSd4idtuYk7sxX8C>$=@YT`!(s@;>Sfzrb{H^S~s*E&X18O!W zR^#ZZ7g=2fSdeuPypV^!74V@mFtrn%;h!jU%`W`G;xl}8oAD0z(c+w{Wr)K!h@|{2 zvu5iCOf(;5iv1~wCI%4KZ#LNQDQ~Cx4z(M7sPUTd)B>ehgbPh9NW;RaF(HHe5a_0> z7>s5pY^x^^7h5o%!pEg8sN=59aZBr zM709<;Bz%F6QlNh`et3?fZ*h3jG&}LYJZJRS_Gs(;JK(T6$i4?QV>bTH-U$3ZEyVJ z<3~80UW+xwOdKo_^EU~qieS)_^o~JF$~7?t2t2(L!GsI;IC_~*ffqL5t4dCFC1-^u ztyeKRu);7Sxr@{!MbSM87MQ^Z&6zE_nG%?x1`9vX@PX)O$ew^`h;#+guM)Vp0c~wt zTgwseuCEUg{&T9AAuw8nH#tiXE4Hh`_V!h%Y+Hr<9yv!9I9s2+3f*H>=o+sA*; zq04h+ct@N5?NY{NVJfiSy^7R3dlu=k=JhE0>2GZ%{j&_yzoPTP_@2v?52I%Y6*S_f zz68OD?iA1&Oe%I}VIbw#a*)=cgW{YvfGygcLK}7g{cH-p8wX4H`9QCpT3$7k5GbDZ zR;0yPei&ti9szmKFD8L44YPZpAN4_`PAFVi741h{O72Gvkb)BX{LeiAbz)N~;mE%6 zC-}ZZdW8vQvdhGHl3zbY`?t(y`VU6_mXJ3AFN$h4%2WHV`lRvGwEo?^{DY##EXIF&HgRe~W42x4#r?vGq; z1n1Ggi+_xUE>0eBJ?S20@WZJU(pxPsK>ybI!j0SINY6kPuDsMzJZV!OFiVYBmYu*b z%VFc&bwS^Y@DnL)YpF(dva#_kKp4I#7rsFsPuhX>03@Or)Iornh*o42LkkRX?^Ix9 zqK3n)aIJ)IrL4kHihl0*z0D5^rMrM*(6>}C973MTjMRE@UD^Cuh=auFNeE+(AsTD( z5onOWjsSdj@Dr3?j#)h&%$WHI?nT{?5bYw6#wPnwQ{S%;hb!4OQ$pn>8U`bk>yg)> zZ5zzSs|D{Ng)PF)p@ndZ79;Qhyk&DqB6LCJchZ^<`B4o;B^+sri4R@V5EW_yOlZoQ z0^oYtwA_nA>F^v11x`qCKzmRx_jX<`#fDyjdp*roD8a`(!D4U+Wha@0?9td?=-HbI zcw|1shDIPI>b?it5g@jC3K1I(Xl=YA6j zG%{Lb*kewumW;+K>0r{k-BJ{B1%Ws%{> zZRO*EiH=sA61t!SC&ve+JdRS3nK+Awp>uqL34(S7BB-$h_CBdygtx-j-`o6%uy`S$ z<7 z_U&m8JDbB6d~*O5A0b)CI^^t&%Ub|FoP=+8DXF*3raJM%N|#|YA_0>y8fmj1Wb^(n z0O1axOPL8lrw_9VS#5?4J3%kPbQ&`XpO)M`D`WquEiH~BUQG@Cx`)M`Xjxz z4Y5$PYD|}4NhxxV+^rR3n`qpGgyGBEj;{#H@#9{vll35_&G-qG+X-Ko%$~V~-yLH~ zAcnsFVZ--XX^9~BpX;dYn%vi-lCQyyc&f$p7S>B1!Bu*aw+8#)O&*QO2$}@md=FZ! zf;uP^0|)EH6r7G=1oT}`U5o;fdBAn+sasLN@j+zT;Pdm$c46?ba3@>E9{|WMH?nWM zM(JO{c2Sdao1evq9MLk-o#~r*zo?*DfS8=S2jS>)pud?%&BhX31?hl@tfENtS}ge- ze8AYYJ+bhU7j%4xNbCWy9h{(p3|HXu^H(*0k#8~77d&vJ&IrXZ*Im}@zGQBgu3 zN``6*i{~O)MJ;@&%?~qB8zQMT63K}Qk5<(4sLv^ih^yK3C}%}Ek6KSrOsLSeV78Ft{{}Y{(qS+gU_^TaV2c-)!si5QYhj z9n)XC#R@Yx2OZ1sGjGNT;g;c_$ipnz6kZ<-@15h9iaA)Un`E*X(4PQju-f-#Ff!e= z`Zd+@bLtA754HP&2l+Rmzg>!S_`*)DHc$^-i9qZVQQ#+9A3bmx0%^quf%RH<1VY*` zjBc^rE%(J`O#I?IJ3f%CYuIu(i+9$CMy#p{rM(~;Fs(QHK%CGu@KDPVXJIP25&yRJ zuj4;ww^Q}3rA)taP-zDl9Q&IsM1-G)%q=y!^voc0fCo-{x<s0k?J51>PjVyC;3%>f=HQcxr9 zBqp2R|b)t+DnMVdFxPVv#C9&aX0msgLagSXrdgc?*P6mAh zl(Ck8+OREvm=eMjH4Mm17dZ_*0Oyo1!_ufjJ_TjrP9OyRpbC=??c{%O7KACf)6Q-Y(i?vWj#rvPg;i6boq#Ed4V^?PQy znw^1p7?PM~K8l;Vk*OvF2n;}o=7BMoZS{*Nn~MG`xY%1@K!h1o6Be$*R0t_E5fERK zBE(>NWC55=EjKa0ZywTzo&*r&4m|@8J|^QWSOLWy)@hp{^0`*_1q{`+-6wdNm!T0* zh1ZdY4?unH;uK#1iNGnoAQty4#DU_=7{&Kvt&vCqO84*<3_>C_;2tJN3P!;v@6bA2>zkd%1@1nXdF_G}B#wJCof@$1{BFMZjV&4{pQ8>ou9lLW-QxDmMl z-w1^{`TbD` z^lvoNwa)u&$`ZC3i=(;yFu_3u*@9`u3Qk7_Au`WVLE4``ueuCe(LPzcc7*`np>}^{ zN8etB+M(AFU!;!KkS$rAwTAedJ5}%7&;(?xU=ww|&!D|I7_x(y@j5gTnDN(05StnL z3!|LY6|r1v`2=C$G}@MrjQxg(!$@sfFS>{E1(62FkkrbrM3HWLv z(Rya*Z0vRJ!0;ja80nOPEoTcEC5T&N?L|?7QaInLl~HG!A>t)ElLyR=6uoQ9!6jOz>w%UF3RgBlIW6Gj>U^N z;reX!WNk7k%0|rzO!})7?=*%$c%ETsrYIXZ0t#z+`+`haqz!u3#h{87TI8Wt)H!q$ zAVg_izJ^Jp?NE?8%^g^@*Sm0!DjExT%PfQ><`VSRNX%*ZJ>vA`P+UxhZ?V0A)q+#3Ygh=P zu<#}-1hmJ@_j*zJALP9Yc$C%E_nnxDMh(3a1*H`=Dz-rp!D34kDkBq}(HX@SBv?TE zMCrLw%;2Gbfk~9;7No?>yUt`6LK-pozMg}rVrXT)sZcC z3Qe036t>biSyOvp!}O3EMsicOZr!8oy%b~1b{CWI zD>(_XWxoOpSE4v~|BD<<*;gJ?_V37yvTsus)oDu>-K3(LJe)0LdWUjwQK>hi=9418LB1MLHzM`6t@SiY0)5>}_#z#dfy7 z;R*TT32h{z%NLWA)To`N*D^xL?}^M{hjxzG*l2g|zF(~ybrUHHW`2>hGkK%S&ioc# z)^2je^jCv# z>X_G{1Vn?7J73cP?7(vUKxq+8@rJjup23+W91p&v&Q<~2n_ag&FAuR^uN z9xa(Zap7avQ_MN2h^G9puTLX6p)6_8Tcb}Lx;(TxVOBDVcKn%{Uk}DbVD*aO$ zjXDiX^YXQn7VQ%o6(s@F_Cu6ocLatt0qNY|1Oxk?N_A(-qrl$epG*fib!SpXLDZeh z%#rD5T7Mg@xB7i`HyeOv)dEY!2daE6mqM0xy7a}*yoF*&% z7JrR%(MZ2|IMw}pNWUAMx;s&}GGzE9#lF~ZuW};{W1u&TbEFw88#zpkZVS$7ZDd?@ zE_Y`tKvMs+kI?l!{hm7C1U}F^@C(_%%&-@!Sa(zk5enj{7lQVAM+07S9l@`fU`rVL z#^e%4hgo>k8y@Zv2J$*ab$F(A=5L1N=xZy8`>bzTOE0OlrV5(UQumNYPK|$M>2!*% zO6NDJ%G|dN?$s|s6JpUdC2f;ksNjB7Vh)vi1BqSbm}-66 z0th~~q){l)vjA!}>z@49yEWE4G`eO6`jmytdL!y@0rz?@X3BaNGp)Xo{G8=WXX^KY zX5IT27y#@jFZs!EQ~CLi5D^>oHNv6jIzFsedldl;Rhim(6zzNpd!guAbijo+;&?^q z78BIQMs#rM&ceyUu+`qO*N95ibar02WJGM#Yfl-%6uFVhKEA+1j-R#;Pk#Mv+y6%s zm%5L>p`xt-7GYPCd*hZNE`YiD_cFW{b>Naio4tDm(nCftF**-&5^!BXc@+-+@(R zIQeD%9)z|0!m0l}$vuW4>BX`PGntEP)F0?#j`e5_FpJ#}7`AWjLkX8+B@8L2HULOx zJ&TmXSbYDtbotSAxorv*FmEvc2wDyBpH#al<&H{N;2#P2l{a&NV;1;+0sq1R-(Z2i zCE!2y0>0J)*9rJX7Wm5mi*w%cmU7JqALjv>X$;Rkl@PEMKu$C<6AS;!$YCXmz3I3< z@6cOQoooA?50tEErEqaBI==b%-9cw?6J~VMwWmG-LupD2k|o1DR>OSIpqf+vCQ<1h z6Zsn(S*6GwUgRo8vVIw*tx|gINk%vM(vI9tm@OJ-W>7H?0uJyuCBUA+qM9Y-$+504 zFTDW#al&jD)XSq>>Sn+^WEf3qQVddx)Fm2tbwgI>ij@(MC2rw%auYkQpN4pp8lnu` zzZt<)w?i51FxEh3ir9sMq-Tn_Ih>f=Kn0FCMFblylh1T`#0@qb7P9@&kj%^wOCr!7 zGA%rAc*zK=WRA+@AJE}%@sVEB!3B0YK!3#z7tyymx9{Zn`w$e==|@`uQe%$4PFj&n+4{4LqVMtuVznswMCeAq=R zY;Y`LT8fIiqZ9;hsjmfqOue~RDnOw{YoKUAzFpEDPa;$`GoMe7jg9)`59B)Y@@$R= z`Of5cyvZ?oK~EJ;ZdUQ39Lu~Mmy*cj2(L`N1Z7*@MQXKq6TZwTEUQzNYw z9kXq@6TO@KwA>iO)0=_ZQT-@0*||e{Zo34@GkfUHRk%v%(}{qbyM?YjpPa3s+U}P{qF9s@P9S`D>(;U_+fYV8T@~#v%C9o{(sIb5-WIq6<)QM z|AnyW=lCB&*hA3u3;gfm|1_ra1^oY!|JD5O<-eRJW$bZ#?Z>kpRn9D7%-b(Em8PXK zZ?}fcQYwx2qB_s4uuBz=;|$^$A9@Secan=L zz+{Y#stfk+83=LQ=GJP>rr{&=$~|bIceV!v*}$7#_D*R&RWFbPjL)acPDjr$Ykiw>Hw{p zQ{Pv>A>%1~KaJ_0F!oH>ftc=H!mrFR8qQI%-39-X0&`n(+gEMp?&LYO%~x=K23{vS z%JXUlhN|z9jt`dipTAHIha2No(+fK3pSs7(;MZOTVLNhu;|9R=@3r5cCcmGknye_7 zIA&}eSA2zl#ELRx2gdk!DEpJk6%@ZqFw45Zdy!5c6f+hQc{OJMJygjP7v3)D1s2*I zxq)dPoBlj$_2qB7>rrZ~za%Oi>;*D*l!u*P?T?ko#Nf))+A2Fn_bHGS^PKs2@#}xCieHQ=RT;DYVlU0T!kt;xmFxumNcl`9 z9LM}Z8Uq-t9{-Y6s?vgxiF{s>;e79gUCpv;-Fb?uHnxj8oN6v{Ts6}bniUg;jY409 zbs*G5q3Q*Og&6bT?MD&Wjp##Cfo6uc^VrtgQficFeb(EQ7FELK1qPdCv>`N!8 z3+o0dZ|M(CV9a`qX=cy1CfC8lvaiTIcy)9m@MUi^?A&CmxY)l%abo!Ig%WQJ1g z=jztjazkfaIA}WAoVoD336)pT?p)p8-5jpoVfqMBF8SmILV=Z@{S*jaQlK0N?xZEr&FaEQ#oVnEF zSfqnk-wMXphT<Gbm=X=VH?xeaocey_SQkJN0xG;hu%5c zTZ;Eh`;fC<-N|ep_G@#wjT>PD?bpl9rY+nY`NF~I3jf}f`88ie-^zW}YdC&F_EOoN zWZ+LKF&`(JkCVB(dbLxhCI@4yxxaU%pKG`>UM)khodq@c>$U!DGp=j#X&LHX8%-LY zme)*eI5a-ghAT@leO4wU4{#X?P zM!5P73bhnvJfd;Fzo|0ut^818(m)QCTvmjmnYTlU2|S0t6O4W2^E>x77$J)hTk!T4lEwVk-8o!k&ij8WLbp+sQdN4zx3_rCRM z8b${4qHK4&fsK3o_o2xo}Legac-3gN_&mXp#HC zSiW=_IBRH{s`@3qE2)C}iGB%9xfj;zk>AP`v^&;KWlV~iv+KK~Ukz0oR3xfig&~38 zl|D0jZe&(T^OTr#dY<ALz6jhoDp;{D`Zs(9%nMdT+nu_H&~OLkcu~&DCGP`_nD|b~q;-Z12}X=+U4N6hub@m0 z19)3&qYR%4uhZ#nMvQx#AKY8HD8FWyVLZ-tzIi5r8R)+2dP?M+zA3SkKvP5s&L19@ z2ex3vct-k9?7;NGCv}!jJui)Al~0{)J@L}+=$oloz=z!k(p;CX=EwXNICVb(frao` zG(d*9d~oJp1+l<5cRS}a=W_a^oVg+bczii5ZG2_=TFGfsOe z_D#Pr;9dWIZ9c-GQ(oBrT$$?EiG#}Rsa$jGF|J!PM9HLsjMyY~JFkq`Bz$p=Yv*5s zh{I$vR^tx#*Pb0^MVE)n1@0^(_ig4r`{=0#FJI<&k`JFp;|iZVhlQD3PHdLX?)-H% zV^oQs5emHvxYz&}3%Ff?#m3J?_+@E?Cxw~Jyl`F_dWdxcZpGB~_1tWU5Rf&d*r$<5 zTxw@lW|-rgxxb-}XvxBZ@bGpJFX9jIEn`3K!5GVJ%(!0q00Wp-PqTf%H~orGe0M1J z=0OwkY5u3xIXIx!Biucdhg?wWfe&iwqf(-#Ef)3pKeVJ#TnK?}+4Uu&E? zwiv*k)%o$(LF=+}XE63QbEo8K)0w&cpx0S{(9YcBNND|UX8c79_W#h|XzB&}BN%(< z<6(R4c{J5?++KqZllB^XxN&c}0)Mb~1m0yW(stDZK(~R_C~6 zjs96TRu0L^=U665Urd>>W3ui0wM?#kzeXCyVoh`_Vnxjmxjmy_414V1F9u(5IWnc4 zx6!hKKm&rJn-k50qNKi(Sx{dkxpf})#c(AeYO`jkFjJ?^ia>NC-S&35274?Q$K(7;w<3rN~_F#3!c{nP&!`KhG?)yxb%n(?N6 ztkYEByiEHznIt(YM{#4vOY$eW67C^Af3!7MrQ#2m8*ct@_SppF6n-l zG7CR>z|`UcJxne7?9pp}v#G_mZ7n2VBzz}zx05C@d`?d#etq_*RbnPFxs{+R?B9{( zZ?u7|qYq#%qvJDAP@4Yq9+aNXdoO~1^yhD_8(6^mQ36o=^{4YWQtT-5EQKjjLXZ9; ziKhojkCVK9m6*%EP<;U#f(5Q8N|V&inSC`AoQUDkY?}&^qHIXlXh0r+1mi>CZys zWnq;{@nyZ@Wv^f%mt@~$Yoneiq4IXy8 z^<_y^g&+JZKW~|qz{U>i3B~-u#^_2x6SzQu58A->Hn3)Pvfc)?dI3L7*4TjMUcjVe zwGDXM3%D}*bsO*pFW{o2-v<2J3mB9v`?{&rBVIuNm-A)gPW-`w3b&rvc`GQ{ghrN;suFjDV$F5kay@sO5BI<#XZc zcLM5K@BKl_| z2>g{7D1z|{ivqnbInRr@jfmK++PvA}fcwMeWWJ0q%k6k1Fwh}Rr{Pdf#4>>dSH=Th zEjJN_gySD2FZBY4j%f{ibtD>sR_=}XcXTDb7iczJHMT7$_DQA0z0ySIQ>k%=!I?}bWCgA`At0YLUUF%@`zM?5d8yM zDwQ5~|0JB5{Y|$LUx%h-EVo)0qj$6=D6?9d*(l9e*>b<{1vcacUh4%uOrSh7MGz?e zj-MV|)DKZQNuh_`8%Tzcf z$d@hlo@yE2+P-1`y0uY{#7N8n5o2R5{CDRgR-&sq7qiCuY`(>7%zC4Fdx8974C7uQ zU#UqSYblon?T3~1?>qC=B6s{BIr`PzZWg(CPphdi3ys9RDwdmek?0O$OlQ}?ZI_Dm z<+WWZhrW5OmoBDWm;TEJeQbib%+T9nPmKH=Rm7Jmt5j97g;md))COO2c+1jarY(@q zwjQzmQqTX2bn#om#HctVI6r8c`*j@CH%aERg+u%vJsnWS+vRZ{q( zvNP!g9jdM~r;sVeL#ASA^$_k7Xuq1NK+C`TBC8|ZZpzx}%F=iEQx150~JIri*A-?Z86;AteK-@7HU&(m}vN zu?gN^p{L(OsNXr&DgBaj!mCc{LV04#aO_s!;jGqrcu~^7M92rgLl)rHAH?^ufa*0S1|l&> zd?Xa#Pkl>*59@dAVkrHjV3JWVYyIHEe4orWp{%zUCKLb$2<`HmrbeaLcq~WN;M6^% zDjqr>Iz44gVGaj@`<55f2WZ_pW=}4QRB(#`pY}h?s zSgFEF{K;InQa-a|;1#AZXjFYQ2EWm^+6@|m)w8e99ONX2688C2SKjU!_#NJ`Uh>Yt zv3%H=K9;FTXWwehA^%Aw)7Z{`HClAX(P~`DG!yn66ZY~Q|3z51B1 zeww0BJWsiK$?+%KCDao}xrO)K4PVIcf*atZ$u~Kr&-O(97ygY%NCw-f4aOzM^H~Y+ zlcZXixE1Gi2Ms4q{(}6(7zDTMCN)&j{)qx--)mkSA?*00@wDc2IM^>>>tc2K8f=PX zfcvyb$>gvONSH=Ggs+K>Ry+ zOY;hIhvSuH8ncUUjfMW?Bn$nuQ1yCz&&EqW4P5)no)qF%c7!XEjuGC6ZB0G0M|Qb( z0GMr@y5|XCo^Gn&c-z(Tt>>^~fp@Vrxc>{qTW4L2r?!2nVG{S3`|#;ZbvP#1mW)uB zOh$_G;G(bL7RHQc`kCY)!7v}2(WXaIU#GAfeQsubEgi$Dzr&D()q2k~xU8QE&{EpY zi@&!4MvdUcv|v`n`f{CMjiW04G$-B|QQS^I?J}*u*^_MrzIK^eZ##7xl{m4?EVNfC zSz9c#eCIW@dgnE>X6H4tLJxZ0orRGSAY;pfzDPp}e(jdE=Z`KD-xq?VVHMI)wPe*KtW`~aPf4+5LRM<}7{8tmvomtWBUtSUfQ6EWJ$NCURda>= z+|YIssEYlQ<89H(_lmYU6G0q}cy6eXMh(!=-av}bpMb=)mDA6X$M*(Og#J=9n4+k; znM71`RW`Ova||_a;Mc2p-v;WdVAVI)IyPI`dBE7pE;`Zlr?OII6`?=XLm641SZ^Rj z=ubco^Aym7$tk^o6rsP=?WVHJ408bRHrEw0;F)=fi0P2~8!Tz*%1e>f$X=u+eQXYS zeQ<(7e&w4>U9a2x(|=38D1f$@0Q3jtbnr@Low|CyT~|w5CWP->j7*;(e;|gmGv!~y zbuQ0b;Rd?-eN;vUFq1U8#TJ%sOpdUX5|sX^RFSPzO-XWq zjZ=UZSCWm(vvCUW;`(Rf-YPW>Re%>)mW^w-aSHI_Zp+5~(Z(sji(8V7Yp`(&@Zy@X zaWyth0bZQN#BSP9W#bg!#XW4(*{dXC%QOpvrP>Jau=K2){!FIN0kx}Rg32Oo+pH;I zyYk6k+!YsF^sHH*d{zm1VuhROrPzz!@nzNo#ndLl(dvg_q4~Tq7b_SwNwFWGNK5r6 zlu__%Nedn%6tq!*{)lU|Egav-Zc#RFij7l%7dI^%cd3n2fETyei<=xhbRS~_Z1HsEv{kjw^r&IWAD27Gd+NwPT`@SY8LF&nVe2E33BSYrd0WdoMlfWLSF z$0e&S;WWn2_-TttQD^FzH3$4G`;M^~Vz8G~{SHU|&my}k-I@Pny;#P25$o9c)puSb zEzosz0oVUjcO@_RnzU>*hE^}L%*=j(=HFm- z8!N8A%%&gRknmPodaqM?-(rRukIPAK%z5qVc?}|4>Tjy^ zp|&*ctgj^wkOmJV`8_&GmhrPov51KExPOV+SxHD2 z$SoS3MkrPH7xbY;s5(ifqO#%XVugDe()v8I%tm#XsLEQB6y=65vEk@3>vg3_7QWGj zqj9Y7pBp~UhNC2{FUt*|X2Tl^FV79Hvf+yeA4)h4)7*{?i>Ay(pa>yviz!sP!gDR~ z5`gDr+NJOlZFm#m>eDRzN5`9fXeV4FW7L|0-)X|pESph^RR2b^A!jABt!n|m=w0eH zcG=)RnBZ2@ja4wx8M5>{$@`UEY}R7*8C=>sYYESmBGhKsaoCXdywT46t)q+9jV{_O z`=|SxWfv!)2n*8tn~OG#F4{$|Rpcr$h(oY3qun$)aU~auR04}|6EbU_4Kw*SD3q{= zc{UfR?8ZzO+I;(}6XQqOR~@%3 z5ac5z2r?$@5vd3)5K9W2|D%Tb!yeJ z1N9%aJ7Wk54#FXtXa1j$a;D`r8H8rln5^MzmdEZ`oL|!?c2Rybi625^&y*=eftxZP zX?9!>wT~U|Hx{xZ*y=1BjCaXep)GX21eBTod+`Rh@E8+eme~Y8U;_K>J{JUa<4ZJZ ziP8Biq?QB|)AQqP?0R#pHTF^CJHp(u8;P$8aj!U6k#WOo2z|yfwJ!aI-u5~8X$w~D zaq3tJQTnSomK=6#N{jG6Tv}omm9Z}D4(w8sE6m@tf!3~1rj1x^_-?_|!29V4{e#t? z>@c(QEtj7K-Yeoa{9bl+DM3TA z7nOr=u)qhG0O%Vc=pmRF|FA<>yVqR^0&&ZDU=WVo)1iHvBKg=BzFAPy7k@q_zW0n* zpAU32gzfnELa~nuoViB{`xI5KehBlDw5IW)N^1nBQ+W8 z54Tp_jv;K)5T0&_FrbKs%@ATLDH{i%&nJ+(G@2Mfz&p5ap#Uv&6PML1$yvp~Ja6U#P{9cnFB&2J>HJ6cQT<)XPv(B(Er zB$o*qZh~gPI&7+e`ku2&gnebg_f<4L+7n?*0V}v)%9nH{!JLfQuAAei*KiC(T8H9I ztnli@;3p(;Wyk+YcO-TYHrp2qm2F!i?ct0?^euYg>_Hs%avL>2$Q{7^dWyv2?{fru z7umQEs`J9`3L!jr4rkZ-P3&)F=AjKkOpSP8do&w+h*?ZZ`$O0#hOl*(L2+b}u36)` z*jp!0XiA^dQ$HN}M=IWS>WWQUN75+Nf^C5cvrI-GC6y?sR#C<=l1*GTRuSSj-qr38 zh;heNj1Ie#DuRBq3xcbGzRp}GFUFMJGpG*s`4dc-t}6<~yF-Jvg<{=h)6b72W)+18 zeS}eF+4M8RgBXMEvWRvC*g$J>=Ke#2EknXvPUI@~bWJuYrHkV*f@Wtb*FH@oVW?x= zi=waa8qwFdHHOyK>OHVlv=)A`e9su?=5a5I*urb{ap$--`UtEQg>B1h)U_+OuzMN1npbs&K7t#o7959m~XY zGV?LpUoBkc2T84E3+!aJ!0rR_noSkC%c!}3Fg~ui47ZZnNUn#;Oopor2feVMn?@z@ zDW#=RFmZKeH=_G<&Rw^w?8InLP8WYM_3vV)zoidl;)(jI{*j92=@X4%o`0#4c$~^L z%=M8$?Oa62-DHmR$%)xPA(@%aAc4y}__?~%IqCB4&Pk3u(X|)x8*c9(Nn8U{;9|Y_ zh6o#BoBZ*1Kl=jlmzjf^W04>VYAy`LH+VG>hG|CToN2G|^p!$lKIpgwF``5{rJ#y} z=~pNxqo&8$t#w4EK9^A+z^T+_+j-L^s=RiZ*AiZhGPwhLK5c@swTF4#YUcM^x>0|X zTycYgcjEwnnV{&F6NfdKp)>wy@dnxkP$2$B?Cq`~hf#uwIqZYU`VrYeZhm_6+o{fv z8d#oypcj=jjOK;whcIwyagx2gpFO`c#t?NSZ zP9CeJAERXt8HtvbJ)|a@mOW(US%s;!YX3qb%@VRutu|2CBg+zS`jH0Oo>zwrbVVQi z)RD&awG)|^#kXxeTRXcL+YxN`WcZ=R`(?t$vRBV|ch4>jE}`{8BZPRfu$8epYmwxz z^I3eh)pybj`b+xt?Jk$*8D6p&^1yEHLtMXSm$pg5Lf@_L;E}{eOG_+Xp`}N8=r5;} z|H>z5rgbQ}6`98a<>s+mi_M5@)|L@Bp`~QReax&7J&f!c?8F+$fTmuZ7_jN;MDd2J z6TS{yhrZ0w$jvaOji>-Oga>tqcjV3=SG4&ykPuy~Z=?6r?GyTz^<*AXN{9C}aC~pl zH)3%ZM#J{?aw+TqMSKa+_G zbLL8p4RdsLkoS$!hi~%mzPss6E==@98m7&!lfs$%x(Ozkk#wB7FPd+XdEd)3@tWl6 zoj+ybz3<2Pjts(b`9PW9Ac-?~8=MAfww;(de1VH13~UMt-p>+q}uqgwMt#V zD~+Cf8nS|&MMl_=D+x&r=DqiPk=cLB+)twN5mH-w$5I_L#k!LdK~@r|>KQzEoXv>O+HG1?VN>xo$}MB*^4pvWo zq0%~R5nD3cy3NN`;joo#Cc0qr64Hh%I;U3yR^ovj3Ui7Fa|t|6794);x5&UEbws)YuWPd_j_v00rO1?s#_>z&|AD*P`bF39K#Ena>LAh@5Kul z6EzFmF9|R9IfEh%xcqquGgTy_@wM!_vq8SWqzl@->^<=dktOT}&Sc+jIHhBS-fyI> z1*Qw-?WS1S$UEg;5)?A!`cxDbUry;WnYq>0YzvQx_uAT)j$fj{aSJ7+^*PpLU0T_g zZ0|C-H1rfLO6O?ka2LPu2Q(F1=;C?$kV)VkE^D1fLC%DJr;>J$b3L!CX$3`=jBlju zK7V4cyy``2o$^YZWNIRSe``q}UYHcz1HhSsE7xE|Gm*P}&A4pOH8ct=WU?R9?_5FN zHHz7sLJH3|`A=z4qvnh--8Q8#Pk|EiD6T~>Yyxl89!@rXO8fd|e6)<@)#EACrQj0uVl$MYG-SgT3JMV9VmWx@FDGS)Ta z$cf>2E5~7@sgw@Hsj;b9P){I!Q>_Rkgn(zAF6eH6TGb_F?h}lwHJSSa&jKn3hkZ+I zb56)<&R2L>b7qtQ*hNJzZSyTrcImGg^6TkO+(T3V?19ZF5g_E2$JuftFX~(E7h)zE zPXN_Q#03qQKGhvLpUIq0zk9FIeB5X=r#aL_iXPMo=To?sDt4Z0r|iyv~}2F1_;&SA>>ppxaB#KM}^e1N@qkP7#nPjvC? zN|xIt;g$Wh^lmas@237Z%qOB;kMPP7#(jR1zDmPQXmXmY4z(qYBg~IS?`^}xmW4O! zoc1E6@D-SJ1tm)0)0K*);XG_vH`m-ME5!KvK^zR$`8Q6t8I{c`S@}T7$F;|Hxh^Hm z2UtNCOuwWDA2abl1~#!Y_ZH}ZO{~p%*9twbNlLYVw?^0cJk(Z6rwbG9856L=qr}+A zuDqHMUxrNG;x4#rO>sE>-7;=hL<)(NUlkwR6{P z4E-D6UYSMznqJ<6AK}D&>2Lh;jedqBwC`0zROxej+E*IrDq`285vWLFz(t|hN;Elb zXmUQvcj|_+F3zFhGwwKDE%L{1Uz`{18+Jc$;y%jJkEtuW6iTj;U32u8cd#B*l8U_O zeO`*dM@8wo{IR7{lY&K=DaC&*6*YEWx%ahJGF!w28LD^@^mY_ zLh+^$nxt44WT_ip*q7k2e`lyUi8_|G)Ir}Zh0 z(}J;eobT`O59+i#M!|fxNYGZDApG8?LFr_lD8!l?{6-bk3%_l=@OYQO?@oSsH~8IY z@OziR?@n}3XwC8Cx;j+-h?(-L|BV*ZLuM@dw$Mo$8_hXApN5%p(No?S!(;NPu{VC~ zWtEl7J2b;q=F~q(YCa|f%7(&8Iyj`=uNqAwT8Hr+5%(#}Y?oSQi;>PhO<|YkGTaHd z40kJXZOFa+P=*^JSX=&sI94czJ4)Y2V7QNh3}U$N@H|54?;T$H<+-KrHe$eGrB|b- z%q{&J`aVMGPcxIM^!+?F3pH9!f6u9g(>rxeqZx$&IYgbLyfgrtz>TCaa%EMILB1I{wz) z^NWcnpDGo4>;KXGLJHr}Cf(78&o4hY^86y@WgP=#qyWyViU6e#)&%punP4vUT@P(by3=j z20jpe98Q7PYn*c^@M?V@fd>B5qd=LKsJgwIER%*sUfe7v_u`0F9g)ISM6oFbx&)6cTZmCic3@+*dW-p}5FSuh6N zn`*6ag*adL2WAzmdz=No(mdn-O4b^ciJE~3TW@4dk*eMidta6P4w~;ami;%;%@Dv> z$enc$muHcS%!cavD`VHJhvjJFEyDl|Z}AiXX61uTol`Hh6P7Jx^Wm|mSnIS~;TAur zxH|ctiS6%p>L2IDocGg$G#>-BCSU4q!q9z{iD7X%@K9A*=iAh+qVtwwa(;lEQ^(`O zl)DG{yo*oU3C{dG%=~OrO87ut{pDX?>b)1+Pa^w~N6MT-i*bQst(fRRy|GD&4f0IBS-6_{KzBzU3gZcgZ5!;(vaqRJ z;rqRDu_##0rNn`HDHCQ7;GR=WG8`bqhQ1qb=b^1G)as#lT!H@XIgj$l$S3|?jApfabs!#?>th>{x~-#dr|uMx zFzohw&POBN`y{lbbI%)im2~R%(CSe2L|?!iun-f0nzw_A0mybc3&Z)FWLGbrhmW*g z=1%&nud-rgO~TtZp{rf45H^vEVvN#VemYB;35iAoGc;C^JL-DNtzYY<}eYeJX=jq!Dd?=P1mr z4V@&%kb(uvjsk5M%~N#meU{`&Hp?afsNY85pgUMy`9d&%OYpl*c1zc6-%y3rDT?fF zPWO`ns)v6ggmYZ476rYJeTBlAket=Em-K1m9cI}+mr4y1bnn$BbkKcD zQ-6@Ix8)joBY-4s3Il_>7#D05yh<(Z@XYF-kD%_R zNa9-@H*7u_NsK|_Fy`5n@$GQwf=?KTb4gpEP``lU~4kVcHfN$KE}tRd-Tykt9dtEjuIL=i?Ypp9?#$kLgxH5^Bu zv%g^a4dk)a1~Yi7y2lUbN^m$#U+^I3ssZm}cU3ijYw7M)0HE@g2~ud+TW+dyR-a_Sdr8XK-y z$@(?En|wFYYeaDQ6#^A6q(SYpF9grQ_0ol=OKwbi3P47FroggV^hn!VnTh5GPYp)ji%S1 z1C?QKKWxbD4;BNW-;n!QmVWn}&i;s)?2zmaxe;j^s|M`P+65P%VaMPFI|k207=tfC z4&0%aq20HpLJtGZ@ba7ULL(Kx+BW(wA*BNj@LMuiBvCb3*Rxg)KJaN>eiEITrGfp~ zF5lm)%XiTZvucwSLcajcNe^>TbXZ90(cc;dk)7`jwa<{09mI)E9k)56wu`c@j?W8x zX=rDMG^Q@Pb3n_+z7~YY)EbZ2Wd+9vJvgH3EmS6w*rk;n$;(dE)qqa@2Vc^p=iRu@Anx5Aa7re#n_PJ;5tg{VcnCg>hXZ_%WvO=$ zyWFXs47AR?OW7E5A01dr-8s}g`;;IC${1LELR0dRL(oRs{8dtf^XgW2wYTPbA$EO@ z-xAGtZI=}ZUZ>*czXeVa$*FMe*7UaN{ANF30x`MUbeHS<2s*3ZDl7E1yLh5cv0B^B z$Iw-XnLp;x>S6k(r9_6}mmRK%YP1okXJ?n>)m*3yhGv@G(|Nh|U!cKCVX)LA-{bbo z+q7ddGt=QIWExtN(NyK|6RG0=f3ZJ@z@?$C8>kKOtK!3xnfGw~hfQq7C5_d?EaX*1 zNHEe7|BR0ic-XiSTq_RQEDk!sKs`OMzk!<7B;j%en^1SY$`XzEuM#gB+d@2wj&eTP zmhLy2Xfg_ypyr*3nZv|2YLO?%on0yF!4S`0h&yO4_ZRyO9>48VN)dG9RI(VQhJ z4!S=sVZR1jNwMW2>zunT6M~rIVs$!~g=61FZ6HB(533Tfw%fp_jdC6=a_!*{aJ*Nj z^W>@`zdc0|Kaf5-Cm!h%qi6()bv48NI#l#Q#I0hRVxl>bGH@-uuu~kAH+bs6wdr-e z^GBedJ8*wWEoXc^;*Ktty+%BJxvlmB8sJsC&a?$V(Ty%Sq<+riDX7_VGCDTs&M3z! zB)UC}QwaKTc1UA8W6TkH@kFl|1zB_EAw79Q&<$zFtQb~41@oTL;{EmlZ8jy1xeCS# zMOtsnIL4V!c=~^3Yune@B+D4-q<-ZvE=(9?n8Xay?*M&rKzOi{(_-aqu(ZidybWn{ zVs9L<=qUy$cRqG(*e#FOV=}>2OE)zZR3`4ok0fqIrTy>)=V2mG&nDhXnFQuD1oY*W=;An<`Rb8A9@~YDQ@f%o>y{(}l&5(}ivgBx) z&fu3zRD4CFqo#W}-hEW`Vxrdg<=6GMIU|!_j{S1^8tp%i)@I7Y0bS%d02jZd0}d)C z6{WXKE}UCQ56s2aIZcgJ{i;Oq`Bveio$>woH4ph?TpJwiA9jOgdqx935$vrhR<6Yd z{jm}F0?WjP_k(XH8vne+^PB#S)yE&!X`(9@GF~sSw%1>FKId9(^-|5Zb9?Ar(?h0H zTDBZbgLblGio7=tM@rYertaR(Uh12Qd5@ShF*}GsGB5v!24MP=!&Wo!cb=Y-z}c(3 zr}B06DF#A6GXtni*-0DZUPb**dfD+!YPb95?yQFNDWk{|uB zZgtJ^)P2BiA;4(lH!~t713Kv-2DNIyZjA~*Q(g(XW7M~$13IbXo*7T$i(Z^9Fa7(R z{M~QTA6!$giA$&eYZHbxIdg}@V^hx)7EatH+~Y(~qo0FQEEdc-r@v&^dzn>NqHhI! z$+LVofKpoCr`JPXcAU{AUsFQ)m|{tSVQgD%NZ^1G9@2mRv~tch9g-ctPbtr-dlCj< z%fhbW8jDj-qO$eAbYnsNMTKfWiEY=$DExZ?6(tcV|h#Zf*kx8>S>zQ z6#G*@9^Q@eCg4;7ki_hw^jSUqDRR&VjV+?GRViVhbJvgQvIx9S zW)PSku4amI>Lw8gWXV|g8uq77OFMQA2AG|@mN^0JaPw9!&s_J#Uz$U8R#tYjd#g^Xq z1{NSIeH0e`d!*t+Q(~P;?CB3q66k`8=;^6V*Kv%^JV&Ud`!!_eK)4^F#YK zNAlmOxzvDZhU)+@FFK4l!5P3O=39?K@) z);M!-;Ef(Ei^Th`)^G?3{N2T+nV|_M`o2iz>E+_pk%Ie;coj)ZM50(7aVj^3+CU`5 z-eVUI@gOyTV}#`Qh zPM@Nr3%D~2`kSq^rzm`PCGwD#F2X&77TVTVm8AFMbSh%pKYi+_z#v2n!~O={)acX? zN4|A_I)q=pw@}jZ#^sy2rJeJ51zffrD8M%6>RhX*-@wh70z-qEWc6fG>Qq)+oC`d} z^2v$K1s02^R2xqkFL}!{jv}g-sk5xOeTzh-nk$^^*Q@Jxm}aH>u|5)`5qu9Efz+>GxVmF0i1CuZ9cC@8{(e$IMrKW+?%VjPjRF`#S8`-vqv zbNdrc_9v{u!2rJf4+J;7E5nRf_ffQn?itpdTA{x4+EW={M`^RmY)LceH8ucQV*Xo= zt&Fcvwy)L`g+hkcc`JvN$E!2$H|!?Efy92q69jBz`FLfm-VF*cEaChnHaL;qD$#UB z9yQIp7^QC{aasNq3E#gp)gao9g_E$?6x+^m;mQV7WQ0kzfo~#0>c6Accysp9FxJmT z*=o-X8%4E@);@3K4?o9>VH}99Fi*A@WV{@#_Oor!cWyW_0B4Uo3t^F`6-5gX18y(Y zyD$1(z2C@Xa&3}D5OcnR2#>22TdC44QA=pa>d-z~RQ;$#i;J;p%t!FamJ*J3#PwZwl)S@%P$|9fTW?uJZR zPV62^R(VG$)V1nu7-n|9mf=s}^&(^c^Ll?h#%+TYa$|-fw!uNUzk=8BHe*{fY1;_C zN(G~n#KfEQv&y9i>rLw_$~Eq(@9L+3jEVt;V^frSX)nj90A@2>9lfHV4L+eU>@|F7Ig%gBg^(d zpiU|iXnhZCL%XpO-ve8sze!D_sGKpd>jTq&rXRxpU+e!yHjVz<{r^oe`M=cvomzv6 z-^wAW`0b2o^(c+X``rqUbLPvnvbdEb|17h$K4Zs}5R@_K!duIi`TjH}`zvNLnCvSO zrZQ8JSWrrS0_6hrQ4)(&nsQ`r(foFSIR6i8Id`9|dV$#ZD+HAPuvWh}HQKpUGwYw* zDOcj;*{v8Be1nX{>B@5YFBJbM6dSoR-yeGgTr*6s<^s#`d@#JeFuXU#@J=!euj%&n z9F(usw=asB*G==xRIwnG+uS@2f*Ga z^W!7lD5D)KZj?D0FwMUhK@2nJaU`$lP8aKrbqc50OT$=Jn^2g~6gg@2LXpidh7liG z<9Xqg$B|Pwr@?NIz0IRow|TVl&#~pw;t|G&?iVOh=EH339BwFYFN@KAFH=_Or-{W` z){>EoQ!5VwMz*t-pW9>iJSo`ZW@Lzd~_$>QtnOv7( zaxKei-*LwN8iR4xw45)H;WcgovWC~zO#riNEwz&(!^hIL)VKT7?XPV-kR0FyG_adr z-b>6ozq}jU&)uH=^{(jZVco;_CKvaEzd(>8RoM~D{}vP^or~lNQEHK)vGIs|;nE_r zav~sv4~nBcD^l^Ub6;g`xMC|0#2Fi3alpCHNL7)FS9qIdq>zN9 zut>$4NaETe0=4}gsd$xSk8-0f*VC;GSNyPnXIr>pEnno!M++A&vWr<4sWn{c&Sp_g z`Kc$v)5N|$T-m$po%)v;TGAN#El`$_fMkU7`l-zA%Ir}>Rkl+`{U>{0qew?+lq$f;1gOtBZ_B^0`;Xta;A!XsY>>~ zqJuSG2|=mh`0hjWQy_J52f7s2CZ)y3M4KkP+tWYUDaugX*G^y!ulZ%w^LE5WK{R&y zvBUy5E*E)BVFRqB&&|ZLC~J3Oe}iR3nA1d=$}-{(KStJ7b&nE}nQpPXIYSel6e?O~ zWG23w8k7IAoSe*LXXskFut*4fmqjfYVk}<@?ipw-!@f%?URVSk@G!6u)*&64k`u+p zh~Y(8da58aFk7kX*=xZ?o)><9h4P-Ixi)=?Av`d&oqrMS6imyExq`VxTBMICSNsvb zrNti^{u^;;l$nOf696enE@SYAteo*qqz0?vt)Ps9!HE(znJ`pl3U*j+{=*J(X7 zgWQYK)09I7qUMcIV&?9WS*HuIe<%)g(3;;PV0h`GCFzm9@)^P{Z+Kd3?InLyY?#$( zR8{e#*$WBB9ZHOX?B!f4H4)iiR;{F)OpET8@mc`wK%(E~;~1D~-(2<+y0O2xy(G_B za1*hhQvl)~VNaJN?m**_ zalM6pz&M3#O2t7j9C5+sbhxoWe32PSk1&pZor$aTI<5(n1!{^A!}6P$g^vq-#kry7YP zqx$ek%^UrE>YN}#-`uA= z5H~G&SKKM@il@Vx`bzRB#%N%`nuz;Nvwkh!BbF((4WVnX4l!6=_gk`vxVNB4yZ$@Y z&ZQTvh(m3~>@^RuF5|f>-=&Pw}LmPI7H|!2rC*zZ=LEEY^ z5`Id@80k$d;PlQKqo{e@(Cz(39T|*Y13U7UQx#SZR$ZCt`1-p6Ocf?YOMfjiRW1_p}l$?b+I-EZP%nP&7pVO4*v(XEUh21x}+q?TOrbDNQ!A5u9_a z#-(_3dPNY20*6$~slSOiC?!V_y52xID)D@iF(SRk=sP8iYifq!w+Hj(56mE|Of{v@ zi?!TlZT`}y8G`KLzb0~QxPl#p82QC6qP|9X`Xtlz9?lOO3t=9`h623^_cx;U$}kpZ zW1NXr@Rqb)+y|dJ-*Sd$2ZvdZi8KqZ`4<5cq8j^?~cxvfbjxrCO8iKzllne8_&to zSE}D|sa=qtVA7p{xAU%=8A4}&e3yUFe);^}*AdF^MDfjSt*9shMv`O^t5qtF6++#s zqaPTH!d~a0ZM>ueZQGZ!#cSS6%san?oAvksqjAw4yIhxI$yzo-+M2xAY)is3R*KjH z9*edCi#=gWV#nUFULwS zdJZPjLt$>gf`n}TxB*>uXF*oS_q_Hp2Y`-CjwjU;`5?tYaS_eRy%)9N4fxgp{!fA< zU%>yD|J~hP!~Y!qe{QZf>A{~~_KRb&TnxJxHnBxq>8`L-Kf79KgP1>I6NuYm-!4dA zxL9kdyQ)04YY%GA*G%Gw7|f1a)NGFB_jFA${g>&Fzx&NR8(|eG6P9d$;inFTKT^-j zIuCSlUKIPU8;tE&-WyduJ?QOe+ECkF*X!G7RzT5WgL>M_`1x9;LTN40eA^@r*MzHC^j2jic&HddQ<(`LitY-%3fF11 z8z(0x9XYien@m6QA=eY>!~d!C=D{|mIWT1^omjcu8n%A&+CgL38VqvBU-jMU*6iv3 z9g2&O!LGG;_-Y#t^ZZGPh_7 ziOtbBCa)aUGvXb~3bPG>1 zDH=q7x^6i(a!p>%$e`QMpa6Fyl6-efaWH->uzbX4YiTr)8xv>vrNg(wqr z&g4&CsrcUMqfO~GIrL?#+UK!#D)D7b1evlu*Hwc9(@Kl#{LYr*v5r zl0G-c{qFZd%ftAkxhw1^|In3C=6)5YZZ*V`+_3|Cb(fiKH+r%p`KKpoYg!%HckOvoH0Q&>CUim3h?4&5o7Z# zv~ddX;*4s^q)Q=v&;|u~aU;BR$0a+r9PCb>`-*9`IXGuh{N1KdfS1B-qnNl~*f<4v zaV1`ECCNK&oC3VK{@J){8>av-&YagXd0uYg6yU{`XVaZ);}qb<4b8?mHckQhYl|&{ zYv|8-c`f>;xh}@gtAB$3+KhkBa`eqGrq|c#!5mlF(N_N)`@TxZ^m!BEx&!rjoe^fw z_jmk;+~>75OJ6&6QX2%@S`ps5pGCUMOD+H+h?jo7gk29o}p5MA^$!-~BM<1}h4e6C5o}9z^F!@tF(lF6AEcf2{-{(Qglr zVNJ>1EK1T}UD9o)@jl0xRvjC>IMU(N|BbXrpK5T9^chTyT0+ufAqnXRUAkxtXbP|7 zEmXb0mfudVP%buaKi^=f!%JAvmm<)Z{3=hbaT5g8J4$tsQHp4&K z4A0JF_^2|hwi*7FY-|mmJT$}Y$M)(S)o?QsAHDNSo8e1jVQM&E8J=J>{EuvgRflG{ z;P4FVZH5gt!&oN6T4mV$glTeVHp62M&G2i7XE@wu_+=i9-vyZr&*D2d&1TrtFVo~_ zcSCCyIgC{=5Lnep(*?Zm(Wj2!Io|HpZM-exXmRyX6skSTn zo6mMjK2Su4vwzG#?Cse0d_u+_d0ECE`M0=8oh9z@scrSj>A0K;?LGXXF{!AuoC(bd$2mp)Dja4I z^+)cdyzkrcmdT--d$)2$TQ~Hjs}epf4_{l6M;5@r<=3(2LDK6;+B0*;Y(X!WN@Zux zo`Ral-WGI}3UUj-P69i@1bIUz@(Z$c2ALM{^_czYpgpbi+xhLykSBdwIaS$mevU2$ z=J_su+-Q*GDlNhS+lz9V5~P&H`N;(&>S@XnQqX7n4Z}G?Q~piHwkcn=Mci$Rkaz~w zND}i(;!zdYkz3#{hL{3R>s8?8w!nFxR-m*(w!qfMOq))!1xl_vyiJR25z9!_)26q$ zYK%6W{b@y_+TSQf_BIej4S`66Tf|sfgrv;F zi#W*^@ozwTT5*~!;`&c3;+xqb9(&Yu)cf+l=H4w~_3$EIe9nx;eZ7iUMhZIWW07@_ z1lWVeU1V%qagmB}3x7%ii^sLRfw>K2>)|oJkqYnSb1L^63X>sFp|S`xN8*$IwWlnn z?jRsp0-Z-GsecjD(+mA=6({yerkigrym~2BO7#2olZHSeBsDV01iq6ln+A}>*5Z7K zH;8|c=T&_xwANjT3N-l#ATs&~t#`i>obz6PQ9bud8DPonoe0lABM;3*VYjf3S9T)i zFHynE)wpN#Niu9N3}U=WbWe@1;87j35^mu)NkIQT%EZdTE+b*9^7olM9#9@6ZXmHL zZ}Lp8`?;ycX(~;2=Y@UsR_)qMB{pAqc!qwHVZVtiSjg}aFT+tGzLT?ThA$qU$#A9K z+&)k15yO!Go?{>t*A#%3=d@saO>hufb_WXYJR!M_nTk$n0M77&p1On=*#Iw<5{}dWUrGY}b!&i|Wq-3} zPu8=ALzREVXr+W}0HLZpp7*#z11w1b9MT%#qh|tqPy;N)gDU`|Ho%K{kH7Y;YQr{3 zfX8vR)}qQi&IEY52DlT(8i1W`fNOb=-zfl_v;HPv%-k2{hHTHseNF{rUBY;lC2U{c z!Du@cdNM*-^u{NWEye%H_-V2Jg`Y4^fHb?8>g=q5D^F)erepjYuHNmBWyMvIau3PP z>8)pd*M|=VV_BX~nVdLe52_3)-Qtq*6UVvTZU$u51wwxo-!tXpeY=EBQK~T+1!>$=EY6?7JiX0d0GT zh{khy_$d$0ysT%Ky4Pea;3|}Fq7JO&duy^D=PI9_`&R0+&Uvyl@w`0;;vvS9+qkpX z7)-uk?DZO<4^gN0$ zA3Ao+FRgk|!$!u3?1;Xb7Pj*OS|--}J@zc)uMzHvO-EPnXnfuni;m$PO~DEo2LV@= zmi2k2U_400rx8Xi|FFcaW#T7LBAB`R0ot-sJ$E;L-=?qBhtrr?PYw5@rx{~q29)&r zpb&ED!OY0^R`m)R2?}!J=~TTgul=iJ@!f>S9#++Q^Y-*=0ZLcv<+Pk@ z7^70Hmk6U;?=4PNYY5dcX9>Y&*>Q=;Xs^tjhu=4-<++cvi@$rEE&Kv-%Kt2KlqeC= zocJ3A0_8EF_|3P{iTz7#d_f|X{a#VU7x|hZ5ij!||Kt~vJgcVwSH%9u@?^Fz7BJzt zHqFn8-=e`6oC$ug27eTnY&4hG2LCzl@mU)DW}Y?pdU-P2eR>K^(Mo6RHL^peomHlgtfSEg?tH|#q2Kw+yMZ<_InqnC zL*Fvy=s*9lFW8l6C+@#i92nqV@l}>YFUgvAPR2+4Zj$rMTW zp$+5jbcG({Yl%*Ran6I~m6fKfXtjS{y`B|%q>k2^PCPZ$^!4pagD$R`nG=Cf0lOU!~RBcLN%YbsNAE-4utDHRbQbsCn8# zF4{L8xt76pr{)86efpjF_1wkaS9`va#IG@#XW*9z>HdGkuQrrQ z^~q6MjwW05L>gj%Ut8$Ebo^S$G%omcdR_{@mUpmVlmJ8H*Z6cW&UrDQSooE%r zIxGcv$DR}~;N$ZVuW7N&&jF@anOkW}NKPaWuDSQ~x2 zhQ)$;#Sc`lsn=-;ZGj+Ys#dT7M3+8q;KRmn0s8%YfH$ySU)trBA-%w>2h3nu}nsU zz%128P~8XiS3&b;WwO-~#o_`S{?&defc}Bj(gmGsLuQ_SXq0`|A)?#K#w9L-oVB|o z8Jg}F+$y0c(RW|*Ku7j;>uCt~e>u4rpLb?Sc5%<<(TUZ2PB+UYaLfIy;r=j2dA%3C zBHcPqH#<&eeknVTL3Y%Y8T|_Ajimz*CB$5@=JSA zn7tHcy>m9bsdi;2Ngv^#uw0sI8%5tLMc+oERnFOu)2nFY*y2R-WCL93O_{gR7!pof zdb-P#U=YB+6dx%mdA{hMa@wWnpL$3s$D}j{%tus{KFEh%{kGFxSXY&uq!j&7K`lMV z%h&XrxUNAVto9oz4o93`&})0+E0pRJ=j?9*C8{73Y1@MKZ$7TREDnY2o-V+vLkSLG zMjpoT#Mipcw`>O3HblQAqV_6IW#T~F@0=~#$!T?bir4R`UpBVTueIv;2@UZt z>lfmLB-{hII1tzCEUT5vDlVm1D@esl#ihj81l+zx^x_DS>U*3c59<0qK~-ufb;AP> zBuhNw-m{ce(lzE{J#V*v#3yAt5HO>v?Z=^yOD{NGU8ViMph5U@Da~HiS^D5J+MgyY z*iQlC(*8KsxuEO&(*D->AEFfX^g-U3><4;sFCD2=xz*KmV-n|`k3CDXB>syF8MZz! zNN17G^U?j~wEz?glLkJtNj}sd1FAKY2S+vDYk&E{W%9LQ((`Bm)UG6x=(&uy9nN-;xxF}%W;_BJVev%i@-ck}N*GNEj-}Io%qjm65 zJi9b;o5G2aI`Ks$PDVQC4N!5Mw4lcu;_OR{Tb;He)eqpBRr{ULPEOQeIKkM>Cqjx( zlOuO5pJJScHRa}zfhO6fr*#m-PZ%B~@L*0omteipx8gjWyx>}82jQ)EE2Yu;9-=Pl zT`O!gSC)Tui>gKRtt%31cFhftBS&f96N0+*y8E%~L&{RM2|FQ7F8;TIG=MC%B?7uTu& z%y$vMYRcGahceOHr*>x_n#8;f3Q<)vq;yLX>cuFbv#O=lxzS2Z{H%lQlbw4E7?Hv z+aXG~xMV{?Dnt~E$%R>sokrRG((5Oqe-$;x?n(R^YWak*HI4I`S9PX*7nlMP)<<{y zu?Vd)sER1zaZZ~u0B#azBF8rSGuL6g-6mq4Urif{M=)()*rarh>!V-LIBllfB=c#@ zc;1wQFqIrTZ}kpFSnq-x!PDp-Tkn?s@$u-AfH}j3fA;u?JCvi%su~LCF_)`O6Px}5 z=`gaajY7Q`LV>xKNyPL?h3~4#AbHfBC(&v z1Qt8iRl%Z7V&fVrN^n~dEE>5;tXq9mA2_RLklW|pQu`^4F|ZV`k#(J$65JH%1u8fj&ny8FQtQ8`D)_%?_<>Wu~hL_R57haOaTpyS3& zwBE(o_tIQgJLSp##J9L*{{al3eD%FC}2Ey&Dc5izJp(wF~E zemiYBw%GQ^uy8x;*9eD?REFBWAu(p6x-iU_Jhtl7C%VG=r}}GlclMn<_{5>3R#RNACo2#owcg3VeP99bQnyjYTAjXxbNM||97;?Qe5W@PI5ivW&nd7m zn*UvZyCNr)1BhuS1eLzwcM7jlF7K&qxdl&2=n>MD!V;C8kcZ=3@*>1@n|8{g8mFVL zaqM;j-uNTaQvDq?_ASheUMhO$U18=~CxEHEl}`9fl+p9J1!B`UCg#}IP|+&`?sYr+ZXe+@-NDkf;cDKYBC+Oi4%U3B(V)$jsqJO{Acqk6mhXPk}6 zQ^4ei9ML_yOkiWtPJ!K8xonEL9#)_dbJ z@N8=9tbBkT7LUJM6o%;O)O2v*7A9IngkgzCw|*~xutw=L1k|ygtZ%{Fjs8Nc0Ob@q z_6X6_ISTr6^vJ)ZW3JYFjAv0QccE0y7B%3wAY5y1hJ$@%~lWMpd zgn|dK=|J)U3sjJj8zqL%pqudiPRpm$E2&3Gt?&ohPr({RIZJ986n2Q_4{C)!u+kLh zTzyg@@CT}u;12=@_D`Rj7FE+9-!&ipK#`mze{jB?DgQztXmY~a?qCs~v^0OP7XDzP z$EfiX!XF&>AKN4+v9#h3#LZ(pJXOx=6o0@G1xfxO6;Eqx*N>81aSFV{6=;6oG*7%I z`GeEeNNwwcBK6TvE$B(h9G0RD%y6`1FZ#S#+%$VZ&IJJ*_+8ev1hddlqf- z!r}`iu;U>dn^fe&4dOke40HS~Q-0<%)^VOJE+z+NQqJ>haiON=Pco8%JN2O3DKk+$ zzXk~vuan%w>m#k6^o^ui;+ASv8N2OW`XNSTQzk z;bgQutKw{Gcu%^G;fw+%C^7wuj1X=uou83xvWi8tz(r?UC;X2?u5x&5%Sb#3Nh~*E z|M6QLeVYX32n4zxP_6Bp<(K(NEtY0!86~zM;!E#(!u>|h4u*iBL1DCpRGj1)|KocW z3%h`Tg4_-=9K@^0Bv41t1iT@wAWz~bd*&)DDCORuP-=9I$9!FJ_D3mz51#(7=L%Mq z@*#z>JDjtBqe99$bpoP2%GfYruyObYCmJAJ#3vA|@Ra)nM&4SQIvDe0%QROg=VLX2 z3yeS!goR`YS3`g-;}#I0+_5ksSAr!>jGOetXq!ZRd(M=hvbK{Ix;Dk3adT?Kn@m22 zH+YeO?UZiMm)S;5Jw%nPaizzVFb8pB*7^&Kr7%kY-ocJtG zBQBzul$WAX@lqtNS@Imm#n3JDeP`7a8QUrRI$Ki0IL(+|FZGJ|W(5G#P|d-7i@ykQ zvk6f@*|T{*DD5gy{<^kc!(O6Yb(NfEB(RE<0KtAz$n2v73Uol9WI!J^=~dR8jQ&mB zq2T>Ct$Y~Youcvi94ifJ%(g0@G$a*=rE1;~-5n^};;cg2h!B3)+3m!BXv<5e6;|$4 zs)1I?R}OHP!4l%xYsygMt*zqawM5P+Rq62-qyuCM5&$LIdsoT(G6(4Z=Ac^64Bixd zT@C`3T|140SkPEV7>JFq8KV=J9Y0UG(-|YFhu8Q>@%7@8qbYg(GA=nBoXi>02xmtSl10vWKUQmgNPX-U*8D1qKQ=YF=EoC;aswvqcx;n!h0592 zIYJL}klUASkf(exDWXqHH}NBs{#C=5X*iI1Tr-M_AN)7-QGb;(hyyR{6D7F%I?Fc* z7S@VoZghbqXjHQGRGz6Q+q^BBF;F@DN~$iH3pH! z3`82!7vKi$bW)_TS&KA|TOy4GmPjKy2yq4gIf#!VOtwSRg`X3thVy)!_D~BEYN$35 znZ~e|G7T-vnqcKmJWKX8QNny7e&r(1!sjxNWA%D}!dj5FmHa@*l#8TG{4?ZF%KvtHkNG@dB;9A@!4d(zLIyb=gayt>LW|#NY%>4%BU}T zZG2{sk+HI}Y3w8C#aD&p8Bu2^7>UPt!Mr)10a#QWYT!TOUjwl598@!QC|NURgURnH zd%>H4Z`lh*CZT7j^wpFB+bDrjS1AGVH*+c48*J@zs7U_{$rN8G@qBet9*S<2Dv~YT z8GKKQhD~Vy1L&8;@3sQ)58VGF0(3DF-v`!W(E+uKCDUPQzEBEtfl*-h^N-+-@)>;19OYz{>CFrOzgxj`Y(e=t*7x@Qfh z!VjDWR_|!cvXP_%h4qX{$6rQA?8)T7h~yZHrEsGY#gt6tQi-diCVD^L%o?4RzU}D5 zg?!Xbc^3SW_83kh{Fq$H0zb60nfhbkCAN_nk;&*4TsE8bD7ufXpvYt7EGTVS*>g8~ z+MDBph_OQA=ki?H)Ev1&eJ+LXIN7BUGSgCiI8mjHeulnfd>t?JoOECd^LYkyi~3EU zpK1?h<>HyNM@A%fbmBcGQ>&t41%KCk8DH_bm7-sCi|B(BCVxr!u%8Ka4Rz|GTJ0fRqf6bv(?2}WV1%Q`aZ3j{J<)7 z9V`kL`RP*Y1J1`7#2NNSoR!tQEp-3|kBZZb<3)d;BV%jY{XKVA)}6wW+kn(7-*~Ma2-g#%&flA}KtkQg*M;($m(173-)2q&L4LC+ zesltuV6-)MSR*In_h@Z$W_R=3{NClai=W8HZ2DzvS#u6K+wYx6{oc~UXhgCBhk6!E z3woR{HdPERcYAIwVtUc`sLE9zjwaofD^F4dhUR@Nm2n)f>3RaSggT3f5iopQAp1 zpTCPrL4QIK@Rp`-gVrfJ1ZrxAFaTgdDvT5WNmt1eTfW~4Z-t}G?nkupI!d|zyC(diDpWX2Lpt41R zWLj4QC`m8rn=B8qVTbe1tiM%RtUlg& zTxw~x=gOq1qDp@agZnB^(W@c}nRYpc z^Qx*evxv*WA4DHW3*5=~iXL=C@T8&LJseIVlJlMGjH@XWVm1n84s&@7ylYtcMak~E zg%a2WD6k9Asc6Y$`DA;#OO21?LN`pjPPahSG<{jWO}%p4rUAUg1{kyedV}E&D1s@N zP579Y*|R28#3t~xD+6Y*38$mMCXp*eItF6>npo?*WqdVnh)@vxn2RIPwb6sg8d5oS zTl3D*1iM9hr|{>2xoP+_2>clg{-_4+FZeUS!k_45ySwkUaR)R>!yVn#uK!~sfeCDl zBx&sj|7pBy6&fwO6-d_YUb&Vs-%#|VD)O~b+s|u+yVCFiVz59r4xcY2thg#Y(4+dCNHPKE2mAy6g{cPz%9}yWl1vdXc`%q zYPHK`zIFx`C`)>3v8e#-IH1Zkcm}L27Vz>KfnpOS?dX{R2+l*`scPo1wJ!?>qJ{K>Z)IwKHCh#n1 zJX3T@wyUx4*=uoyRf`{;Q43?Uow-29l++;&KU4Na@WdWC3$uMEsgIt^yn$!qh$ti7vQptsm&wkV`!EW;J!BXN2xOY_QUJ!yrBgi8l|j8hyIlr_}sTo|g}8@V88?73@x zQK=)+iycZROHK4J8|gx&ef7%=fERBF0~A*EdO4w%V~B&sPhrC$D=y9{n$yE5WtPe- z#_!rxS91DeB*B4~dq(R?aPc=x%#Fw@TJWE_rzo%8-?!@?ZJsg0B7`@oN!d`DGY`RYNByg$*P4_fNY^BvV}m)=R_a;Z3t=d602Eb#ii>b>U3tuwrc<5h(=fs-7coMWiAw%Z3jt53k_ zbp!5e`{1)0XF%`)eLBEwcyH(c(J$~99gprx7Vgx|!b(rQI~nl!2uKj8YYX6j;n)zU z^KQtd0CGBo0NK!iEi3uH%#K;{b$7@v*y|GDX|9%9fo+X#JElz8*TljuO?{p;l?mQ%L`SSI+?R7n=&Jz<-$b9tA47`AyPu`ELMEu@g_zOoNKWv zP|)~PHn}n9!o=@S0W-fd2#t*Lb1di@pHl>@u@eU}<2;@|T`e%ds^Dsd0F0+XwiX-Y zY4RIctz#cOiypC9#j9A1=8UIQe;K1oMYq8Z*TrMspt)(R5pm5UL~+WLn!nWN^^+`W z)sqxJua{+hKH*6c=*>&`rX~O4%math`9}Wte8vh- z_NGW5AE10BmV6$-@m%9`4yyIWhP*)H&3r_HdGa_1ZN`Gs)2AV_1U5-vj$WzOuV`m1 zRxGIO+PzFT9!)RO@-Ilu``Mx-EK$ffbbJ^%bJ|6j?vSxF z6uX&YS8vOVe91Rc_)78ed{vtxfAqy}eSu2u@~8rykaBPKItOj>#Y!c7hpvwbuOWP; zuTQPBnnSzg)Q3zoP=HD?qOTYYESXdAr9RF#zSpycb2iISMwt0XrrRHTBr|dpeN@>W zdE+9!KF}K*D6O+jeZ0wPolV}DM?%-m{Dd}>(6zML+CJ-|=L1qU%$nC!t&P5IHC?hl zQ}Q6=NWeH<=aV@u!;%fv`DFS7&GjNM7Hx=sHkx;a%FI3)GX{Z)7fx4X#~&N{fj<`7 z6O8%xitT7k{BaU8{q#n1^#PJAmyoS+XpjHiwf#_|AapP6MPn{|23egM|A+m~t~Gw6 zjUK8=>SZm)AV~bF{sv!sqgx$~Z3xv(@)^mrL4PaT)s^Wzg~g zo4yYBaJnMfnqgVxw2Aj5x0+$D0+$)U)Y#*EWsN_~*$G6SFVRLDl>*yjrnu9X)9<3t zf$&Bj8crM>!oJFBUP;+q%1~ zdk5?8w(bSiy@z%0W8I5oVU3T~=-&e|$69~P!CdtnKhBQjxQ{DUyqYX~9YGha75#OH z){L;3Mc+mbp#(PLa%lUEOMOOjfL8Ds-}sFEp31%FQvK|Tj#%0yMBzTozhshE!3%m5 z@h#vFG5Z}6Q>IVK#1G3fYR$`5>%}E6b=FGu=S#<})oLTG$*4H#He1dJ6qcBuh(8sf6E?tMkM7t__Av52EBcf8_iX0Jt z@~&w|*wHF!Npg)n;^y@TuV^-wpjkLZ{N|&IIA$M>gkH$u=+ZzlDg*`l(aVe! zAgVc{luz{drgUA=t}Ve_XUu+VNJ;luplD}w9|QD@C}*+Dfhz>=VFU9szL(c|7w6rD zFfpx`R)rH-EjTYTejrxNE{Tuzi#llWS+VCad*<{9P-Ti}nCVugOUOE-$rlTmHh=^=(^M1+5u^7Ah z2!#U1u>czQfny)*&=&YExh8B=eupF5vWJ*C+i9e-u7@z%*p95ET-vOx7s`C)pWhVA zxd_`OJpb38gFRBSxMg33f}Pj!|`jKIfDW?X}siJ5Z$kro60ciEbHg zN$naZ*Pl|*h_3InRDF9T>-&|IqMy|Fz>rvut7U!V=m=+3z^X4`?E0z(`YLhNne~N6 z2c(z(3PBEt^;%9H1wLl?&-8lE&Fmm?Y*=%0J?!LHXy_sqRV%QyfmjsUxxqQ>YeCY= z=?m4VB%2c~H@ zwO6NEPHQi3dA%emZ<>nA8>^!7CbVZOZ{z}Mj0b~IedJ*(lgUD>V%8Lvc2^)JzDX>iVM(ub{P;bOZ zP0k4v9gMD^_g$S2!y`TixB4g7h|?|xI)cZiWg zXh9?AZ?f=nvzzOzyo4)Zis1CD379#nRBlj88DUZ&AuL5Jqk9tvu;W(jJO}`jot&7` z>Mx{T$s0;W2+#z(PeTCaY#+p#!N1mf~Z6a4nNWpeE zSI+y`*Ct8d^LGQGEFUA!@^$Jk(T&kKLy@Bbr`rP}*`Ml*lHOImTV@5x#5F4eD zSF&5CiL#QNE<)bbDLd#iXc>`)P^~ezGx}=c`+R{0NL;{O8t77*5+Q<7>p!*&vB+v! zYr)u{FjSL`Ee9$Gjk2Unm1mIic8Bsj?${KH-P+9gxN!fZW+}V|?YD0;L&h%Wymf$) zqBu4UH9KzS4BP2ze6jnR(NSv?8A!88dxT=0uVH3Ve<}E2UCsyKURll#N)GUqo}!PV zaev_!7?d^@KTJGC$%BS^bIzJ*HCT)ML0ZaLhL)wEurv>F2+%DgYK^YoZkmP^(m*S8 zfLjH)gRu&PHsu^Vb;JvTFG`%p7m`~RdcQASo&|>zT5LqON?VShE$RM%u`yt5^_mm6 z24W-eXEJf2b$rZHL0iraV>TSQsPTsiALM)!kr&l4h8!PLTfgY0wI?N^oH&cHiKx=7 z$Vdqx39~_s8QscqxOwDac_CehOYMq`yZp`>HI;j8#ato#)VnmRn7lGG3Si0 zy&}pD#`LB--$~WLvHr)Rls(qoEzKPZ!KnLAz5^jZ+8hrL6Lo@>HjV6Ihrp*FjYrRB_9%59^wd*x}f-d1?;BMQwSOd;zI!&Fa~G8qs9*b{dIsV z8PHV+bnqGnyvA2??-5xV4|e;^&Yk&~PnY-yABarh^Y}|c0arOAJ0sGbn=2#oJ#HN` zBAiS&!<`X5*Q3u?BV&%v_}OlqaS9pDHteh_&Nhug+VoE7BiXh^R12|SR4&j)CvGC6 zy&uVXF4q6V>r#CYdze!>`noxi8(&5mf88LdBB=2&htWysA9bh_xDYCWC_AO% zE0WFcOKHrZE;V2(r!U6brl89ZY3W&imo}`NzQ9qD%ZwII!k0nDYB@>IL^pE<>Tmk= zG*<~npfMH5323*h;>USec`6=z6qX6MY~_dLTb@dnM>^`qY>oBq8#2T=+Hb`k>;ce? zWmrQfSe&B6nFJ+4c?2<+KTApG`-?^{j{K+v{U;xUMRHu=fI2fv)BYMyn`E_$$3({Av5<;bh z%RmdpM(z*BMhiJRF&Tu5weKo;7YiMPCVm}+Hon8E7P{!U*)t-3;}F5gRW3~*-DjbX zA!DPO-~`~|S1kge>7#j$G00(N8iTS!;esU9yH-FNgZ!b)FNehXO;lydJfNcEm*_Z` zMFMZt1^oVYP04;AkitCdhv=z;Fw%+MRXXXx_jS_gk`%WH?4cp48sy@G9RlI+vFX7~ zJHpL9AeN7@esWF(8}}XsrHQ=7t!ZaE{#*U=@+3YPYyUlI zJX}bQPMk*>YP- zCFwzuzg7D)kM8$F<$^}F_$2llv3hQ(?l51nHix+`REO~*71LAN0J}_H^Bz`D!#g+& z^l81uKG>KVPqTQyST>oQh*W~c>x%&=1GX*0N&$p3+K9D9YylArH>Hy1to|K^bR_K6qf-~OFQ>MAq*@>ZOXYB{)@PNIrIGQM7%{=Nu-dBph3H>pz zG4byJ?cJy*lQ9PsvA9B5i|YA&-HWg3P;5eH4*9wfDM!vJ$`9toL?2n^1~qf&)0|}T zh-J`7Ivkk>A`E$BF9ao3zfmpTxPgNhq`JY%pC$>3ajXK2j0i(wdw2|?f_ZE=J9S3& zL0&0j)=&yb!8>&aS9ouKJMW5^*7?Mr3SoKGO{8T4stFn|`&EyPo-cb#iARV};R`JU zAMMJDC`d@cvEf=E+?WDqeUiXKvO4Af_xbYKH*eIR-4|5F&=|p|eAQn@&hwkq3NM^_ zJHgOUkl-rlEpJCGYZ{d%t>@ zQ-CkBQc9{Yq4YCMWfJvZW(ED^Jl@(J%v2@s(%lHNMxpLqAfRijv9K!~y}(fAn!&7E zAYb5YlR+IAaDKH>o;4Ar4P!A<5qofRjNAasDQM zEt5cvk;Q=&~n@{(lE8zqhB9rh(hhdu- zK(KOh<+E}r+r*G8&0h~j=5O@Je!@Ysn}S6-sLaR+SU>=+dH#BYR5pG| zmz8W){a3zK@Mmm;blrpoc}7CT6$uro$_~jzEZLP^#OLxL_;o^=O2!tczOO}V>qWb?z;&Nc$${1kMm3&Re zvS34*98^}yab?n}LB!>F{RkFqj^;~qHa;TLS*pDyEd5=C205}?SCR}|F|-7Xp?$u{ zhw}2}j4GI7S?Q~!;z;3)v?VM+NnC=FG)v78tm+F=Hr6yF3eu2iv_d9DobstI$mCBU z(+HHW9`+{%kTgHt`n1BRfzm)sCd5WUyV1wQ8WOLVc-pKIqaQaOXcMJSb)Ea zxUw{7tMp&ab{ybvBp&icdJjqCh#o;R3cvC`4HJ{DI15?$Pd*5&74+timc3cgL-nYh z0o80E=e7u`>eOFla&@!ry{&tHxhKR83g1SJ;bDKk_(p$TF;INRw*YEY?N((OQ7lPV z=95I|mb}4+NF;$shW@Vej$2UadmMqia$p55b9Ea@mom%R6LI%qdbnCv+==$Nf>Chv zLVwnU3cosH84}B{g{@n`238Hnj;(^} z3Kg!T9%?wI=#j$1bo%2gOW`LgQwu)@ci|n&@O@^}JRwcBB4W=M;W0aA(bqJxL>D)Y ztZ9vbL35D8BQ2IzGgZYPy0QIk8cZ%~mVGSf!UCdH++ZmWL>77p+9(fMyfe)b4}@}UsQXFo&Z_xTN6}CGUu@*`x_WSK130%1oLdXd z)pLIO`jBxdRQR6qkd$1{3BF-(FXr|<-dpa1KI0Z7W@aYwFL>qivM8}}u)77sx_7be-K=|WxoaTKS=R%l zHR@e%hozw&KK0K)z0+qwy)Rm$p6nM3>aA*tdOsRqp5+4k1Gn|1GP-TSM%c!+2(9RxN`U*N2q2zh*Z)Vj~f|*!mZR(c|9J*2d6z&8I=rCB6-*dth^jO zFxN$YL!}vWH~D4a*9#T%^%~Y|ek}-TfnQ{IIYjg!>_I;AnG#+K5Pa0`K;TirdVVAn zYt#v=13;0C!g_8$l!Pq$w>f839ng}DlPc?I zzUIoE*-uiAsVDci1zf1o?JGFEoxdbKq)om|#v{~IG6^zu>r3Y98lpN~3`pm^f3&f& zM^=0z{7R=r=FuNu-zJ!aDwr%(FXqcRhp1Z4L3uh%gXZOY%{lEXOWqF_edMfq4oJ!Q zMAC>obB-)gbG}unaV+Z!s-w;=mxCO5F5>EwthVde2XBt9O_Ts682iucp!xcdB*v$6#!Xgl5ZQ--*vUf9`uWSoE|sHi@ny zrUQ@8pR2wJ_I+8h@TPJWJuR?8`b+Xi<_)B=a>xx(0+|V@2f5@iRP-UqHWDE@_{OzF z$RiQK*zMWa^`k1YMa=urc2pJcR*jZU@A7%Cq-w7`bwDjwB!vM+k>_rw9XPN?;Mvbe$n!IPl~4; zXh30nzD!A?P$(IM%ILqVrAXw=x=RV)741Q*;?8Fk<^&oK% z5jf>sEl{p@N%ovx3P>+ROs{89Jqp}MZbj2MmefnLrS+$X96K@ol=vCa5|c&Llr$lv z8?=O?l;oasjSS<0rx!5%xTBO(dk7(60bN%@_lpDMQHLs*iHJ2L(uu$${8+sfz(v)r z5@Je>tTwg7O2{ z8CvKp^v(Ae-{>u)&Z?M#3^i#+DQu7>aJo@_F>LJOfd8y*~(xC7x!olpG! z!ob+US0;uKY?sW6whNd{=A7M`RJ`Wi4}r4SA0=p&c~tzj*RBvZbOkj~pB02De{`de z%DpblI4I`0)~LqBO0jJor{1v=n&gY!ha$4Kb2ghelZg++e6n%%C1sS2s{#oUw<&v0 z25|R=zQdwGEF^nQaWeDB?i32{;D^06<*UcD3&3Ow)+)O*EhUIKK_jkIc9npIexa;| z)jde3c!4?HR0X>%gaWdfMEaE&efb5Y;2tgFai*{pz9l`GGod3@5=Yn-!> zo=2Oi=D;Qt!U`Q7d2=#m>;wg8Z|=3zHh$W3(HE$<7wW`LMU6T5(eAi*n0L773Prq zW%+<})^!X#w&7M&*r^0KoR#xwKz2;c=?#g!(w1rMh0lf&QiAxQZQ!wJn480C9Jx>J zpo&1G`mh8cgp-@!N-=c>Iai73 z?<7GrE4|AU0p`~P%wk5#)DE`%r#`#l zGO0M7Aib*^E+K}B3PDosjl9v1N$-`fPbL)#^zIfprgTf&PX!#zQG;{VF}jTY{KoFj z3MbpDa|k3wVi$MSl&r~%g%l|Hifn_a{ZkRu(SmCKl)c|larFf*%Kny!>!j86{%KI} zpO&co)AD-N?rQ(^%v`FiTkN0uXzLc6r#Wi#v_x&5;%%G~sLj*XusX`-=~&r3#onPP zS|6!sJ)UI$bhX|;RnorqWOmAt{nH$K|J2`CNg5;9A@7&5hrAKNpCpq#H7pKj5tZPE1s5FQ+FR#Mee-}+tlu4uiZ0`omRy7b8!Y5jRW`H>~YPWK%>{gZ{yf0_R zzH~2lgcwPrRq69cFT0TeJRvR>B{=qt>YY_j$l&HLRX)*gr~Q5?h|NBdYMoN11*PJv zuzZsr1$Q}Vps(71iVRK9FWC-4%W5PmVu5l-BEf*&vks(D8O`AS)CpUV{w)WH^2FvQr$vgpYmA{9NE zOI9VkSdB*P=hQ#Jse3_E|PSRkqKHuh^-^SUN{Ej<`HDA+#jAkVhOLD{$TBK9R> z9>8_NA&FxpRmwOlLj_0nob$#WCN6KnVS059y?QYE5@VlU_0>nuOFYeIRn3{Y5!2A0 zU1;}wI)+_j5Iz5EUOUnkWoUqwBJIlSh<_d>vhnwQ{ih&jWTf7&lx$7OY$B=Yi1;Rz z4d2kXwWL2a;F6O(y2?eElT1_ottH1f6@9gG`rAlTA5+Cs{Fj=pSHb-n=Du zR%bd4R>&v}}#LM2o5H6KeOVq~ziDe-N;j zfK^Ihw=Mej#>?+QzMzUhhAx3ZaN!k-l8(<(0`e-&p`JCBYUQ8d`~_h@5ftx|PbP{3 zeHl})l8WHZ)jo^ai)~-NjQ0F2+9ob zuW~6FNBMf@-lRT_%m@9F$~4drRRoy={yDIGnKtsuF^pnD5af4Ot(6{3(lZu9g&R<+ z5gmz4&OQ0OO{8mj|I%3;wxbUuS}(P$2jB%c>qUhbSGIf9Nhv=|!TYZCgsXN_CmW>z zv2~$hq$2gmLDFMfDn?qlbqr$~Uz+SOJxP-2!o$wduL~dCbFCgeSAH#wmlh#=G2u^K zLVyhSBw2GJH!nh z1w1Ir<7aqK`oQt~A<$@zSIdbQm{oesKTD0&+IXH2pyt(<;&8e=2}cT{q63lfep3}3 zbKE8oCdB2$%nOvhz}?Ijrvqlc&Jx~GIe_!i#3=+P97UX=*j>a9&W?Zj1B@+q`At)5 zkAH_#d@y5(;W!?zCnnhDMF|&}Z&=0B4Q=?=`(n||Q26s?i+M>;1JeczrD;~|#s337 z`96;???m^6)_aQH!$rdk_|Mk_rl)X&;y4@ey(;=A;B}A_H#q1ne?wzi^vzhjiIMZZ z%Ih;`9QHIjo@m@}n$oL=xk&Oa8%Ig;pXhwzk37Wxa<29E9B(WS;y2}x$XG268zl(O zobp*|i%DMdHQmBTr-tZ5&Vg*q23JBwUq||5#kNnReqzG6knJ{_s*MJcii{G2>3s2Moa{LBe2osg#SZ zwa~UX{#8dopuHNUmMEA`?*`zG^EgBAQBbe(g=d+B`<&jdNa=NY6P4eN17ZUZz0OcV z!3r5CaqG+4ygB}BKI}+h_`i_!_);KKj6gUIn7~eRIT(jYEoOx899{XUsp3U(i z0tU|>=2F4i_$EGrcMnv-)4lbyvi};6bDR-3&@(qWzdr8`t4dNtFaPt!!%GW zts!@5G`UM>2aIY#NUM>W;|_9w3ItD05B~BJ)msF&rZ`)OK~P;?^Olesr+1xD9Pc_( z&H;ef%X`=1GleT=*dhc>Sp`8KTFL{Vr*aTz{~7)1Z}UwxI?Pv8rOf40Oc^(vRdIA` zxiw%eVzNq~ul^h3=RT>D2HSf4j3CPXe(bKyK=`B{C;KjzR(MR81Opp6$6MHoIgd+U z8=v}PLz;~S5o1*zZ-evmwT-u6n~zRza=zuD8?;Q5Jmh^EfW7q#twEE?Dc_J z?5OjJat$SWVh%lKIG)oEb}pms$mFaNOb;4|y;u?Ys*YL%-S?i6jlU|`lp4R`&xZ7W zsjKDh53@tvW{NMJp6hsT?8Z#5;eE@&WwC>| zbL0)jcHYI=ytR?H9C^z@ya0hb7OhjOJ~7AiafS+AC9@eFC&+eeOXj@92ieKs6jv z^$CU@Zw)pbGd)H19%r!L89WvYQ*H_J#)f5D!9*Pr-3<>uao+QXS%8I}HFM?$G*9Xe z<3_C41`Zb?d;zlzCOmIg17wy$mmgWx;UCBFA7O=Sg19 zk(X@irH#Dg$cqv_sqK!Y=qg!9xUJdIo-gqOy~yab1m`gR=5^6SjpthNCVmSmSCytQ zOL~3Mg5Jvd(>M_ubPg`16lIMM&J*gh2EMRwFL|n-559-OFG-K#!R8!`{_cx+QVHuw z@hnlv;I=BbdI4cegq>q-G^n#^W%d=uuIe?rga1n&Xwf>4gM=Ak@+@LCPLPqI2Ikhw z$yM@Q^L3%#v4>M`FtjxTXQI#dajqgj1{)=YL)>0KHf|=M9-kKmo-jYcAy1<#4Ie}1 z*v=sF-pHCzxNGO3;jaJ18K=_|o}v#Q+3PbSogE&g-f+FAxyENqcmjG6nd4|&$2b?> zGo6)A^B*SbdG^H3PUl`DRZ1?mZy&gf1$P!DvxoHMM3?9YX$_WTlo zSVQ$@=e$Z@11u@c-1?rRFdr3^!#%Cw6`SMi#+t(&Y6LZAL%;C65}E2THkphau-;R& zX?mkS{B0<_!eeaq6|U2V+;CzIM^m+lxWI!)2Q@o>BU2^=gwsDbdGDINxXReNsOZTMsU)5bxYUC&XHRLx=d<(yLWs2%ns z`FBs7;4d6T@TqKh$mStO9&&ha$%BiBd~MbAesl|hRFa->Mx3a zCL#vY=U~%Y@31g_7&Mms&&UP-z9VZQBUt|X#Td%)E%2D$rzLd}R&Bn;(|7yB(FUB> z$$l5}*HUTIVd4C$Q0AtAOea3G<2yGR9iQ-Vbo7lzPL;TGD>@zB*7zd(p9@8*9uHFj zK-I(j+a*}s_&tFqSfajPf=ot#zCoq*&UX~mP2b}WALPra{^a{hhJ}OG8L0x86ks_8 znAfTRTN{7RtWpp4$F0(rcvFl2hGK{d)L*E3bNq32-xsgq?nQ;5rSlHeKKA(1Mj9R+~Q>1yE;w+thkzF+$%ax0<5_DWZY9aP6DjBgUPrDb({oPaUzn@b-zu=Nr3#Z zo2~>FLWvWbr=4!r@)t;*?5{!U;sOO!V}h8WpGxBNX}`V%um_Pa} zsA|>h4{!9FIrw#lg9kr*iUqx{&XJ^--Bf?2=pl~Maom8TZ5a&lamcl$;8#*`#nYR) zJK5S}o>wIgZ(+r<$&!?8QV7psRcXTqgr5nVGv$5ol=FT;MAC5;mW_BMF-Lds#~yYd z5M`#rIYd44Rzv&*YA)!wy5RO3m{wu)YCYyiJ-`~zllg{Y;EEa|gT*xhhnJa=n4{?M z^e-57*7pP9UcU&0`@O+D^I9OYX^@fgsK@O0%pjv*WwYZo+4&4ds*&0pp0=&=wKG`8 zGyMg@kD+z?e!%$JV?YP8RuxF2EUu?JJuF(;M+t`GSbuyem5=wO{3LooCla!T$9Jmt zRs2$7FoiXyFTy*jbKW!Xc959|RKh0}K{Q`gw9j0!K%t6ev+y7k#JxTtLGwxZD3dTP zRijuJ*_*|Q_ClaGB>929p&Dn^t-{OEs9v+{TvDwSVPRFC@P202Iear{E)bZ0bB@52 z6t=%*_K2~PEnTN_d@TJIeh)d?T==wkL&6R*Z^kmw2eU7%#X!?L$Kfq%no*BuzInsK z(|#i>;kO1Gj=8Lk-trkcJjWV5nKfP*G37SU6*4}CrS{uHqe60HMBG0 z1r)`NE=lAAOYuV{?FW}3@bW)EUxUr{?zPTJ7mY=;u+6=WsJxsHq`J`HXXUWuAz|;c zR2$Z$+uu=)fCg{~>@1d?A>*@<(G&_Fr}n?4sEb3!2ZPOyvj!U-e?QphJPZHYzQTHJ zLzU#AyX;v?D!W4Y8~9c^R-T-UEnm&wa8sS5Rxm3R8-q{9?SV`@R!-;qnFgy0Js-aeZCVM?ev1QlWz6z{wxNT9Q(K<`lrMnFaz)!I}#t!E-V4(gElPx z1c_Mw3C4O&k3)&cDBz;T^KJU<@5`Z$Rc}!RuOSKpjuT+e?G6+v@*F3;rgsU8ggQ0# zt(dVT7>1F?{(nVgq%+9&b1L#n^5m?vY9mS(%Hv>O&PsgbB5PAl+d*bh8WBlaIufujR-#bdhS zPpgU>r|}AFe_z!O?UFnP9;;`F!Wta;Y3IB@kX@>OL<9`X$&0|BjWafJgcJy&hDLi4 z9v<7o$|!n$<6;}$(6GZ88qS|9HOYCO5|_~$C?kbp9uPuOM;>QNOU}nM*`uVNm6rZp zwRRdR)mH7HpyXp;B`Qtj;#*N2?YTN3dU%Sa_em2=Go9fwiMozZ z*OBUai@KJn>uu^fT3yGe>mBMER@ZUrdbhfcSJw)4jjHQ|>iRQveOO(mtLr1``lz~A zs%y2nKBlfus_Rqg`n0+}qpr`X>#x=Id3Ak3U4N&pFRJTH>iS1@{gb->SzTXN*H_f_ zRdsz$U0+w%H`R5Cx-M1MW$LrQput*#%c>&NQ)iMswnT|ZOTed?M}*G6^yQe6+I>mhYL!u5>5g9CKXo&g=Yc}q@Q zdfa+HxZFxQ)4qcu^7n|ka<{^hw>H)j^PBn;Zbtr?kknsxtNZD#Qxli}q+hWWY~5V) zF29W7zMCn}f2ik-jD`V+?)k@@*PHg<@ZNgT=;9y@bwGVg9EZz`Amj`it;f%1` z75pCNCx0jZbZB$v&f&>?y4^k=VBhWdhx7k><0lVQ4Y+oq`P|OeZer7yKg#{|SATu& z(&pb-`40{__1M?Dw?DdNfU18^MX^dpIrP22eqU~dFYmJKk=tj~zd0cM)vW_>$c`2N z{_=09{UUFlhOZNGJviXE2mZL`rrc@8pJ(m3@sEGqJK)aWz2ECVpHBv4^~$@p-?HWb zE&A#4Uln(_d_>lZKW|f9{zUCJ1=GrOdvey{S2^ZNnYbT{*x&hO9sw)1Pp zN+TqzjkG_(zx1CYD+rdDyvFvjKg*LeI|^8V3>@|Rm<-(UDT!2bgS?0d($`}vD>R@ zbBpc!{G0n-d-F?|729{;H9vUkx4+rE+`d;iZ)n<6*`>z5FUnu|&6TU$7Tb682UA|W zu;J2T`@YF{(dfvgO#|%vRqJ<7HXhxy+`ga48uhC{%?AVQ`$+Zo=71LWZF}`Q_X{3> z^KTn}w{^LF@0qi*N6yNc0rq{>@^&L{z4!j*_WiLxz5Au}>XHHW{lHi9_xl0%y|lx+ z&70c&*K+&*>A_tO&yBn^z`kob^4xO!e*NP;KArb7-woXcb!`0f+DiuL@FfG*$7ct^1*MySHxV*6rH59b30s z>vn40E-Sw&pvJ2QX#D+yg{S*1dZ0&z&>Q{Kx!7(e`~La!1Fji1{Dc+XG(g6#%pEeX z$ehypC-X`AFNgQ^pOE47-=JY5GDZZ3W|Vk_W(*oulHnQ1`;9|0M*QUFl8oT68#8>R z!!taR!XrsNl8&bm$>b-;2)|^NrxL%U@7W_`M2T;BM)wR~MnRW~Lid$!x#{O_Y0p=r zJzu4tyL7+y?u>3Kd3aKVx>t<9Pu(MT=zDllM7`f}rxky<4zIX>ijJ5t>28%^+|onyKmf-J0hg=4fhQ7m2?Y@D0L4WKVh7^o7+3dJ#Hyvyg((u})r?D)IV66@4s#{8S<|1H?bqNKi?DvLK51apVoT;d)xX6(4|go?@I z!Uba|OaLz?O^Fmr(Z)@v7}ugasXP*E)qoTaOd3Dd?M}tIX~w(9MTU=`Jnm*%x1wO| zr0AVA>J?qx|K3w!-|vQ6a>sr5{?9{|vik0ij-T*9Ue^D4s8ZI!lcr3JPPpUWZQ6g; zp#LY}tgcj}cl>>k|4!dpV^MB4MnG%svD#i0)`Bi1NI#~BD#~P9?3N7d>z+<74cwh7>lxsBcJD!c zA*@rWM_Qh=nw%w5@9TP8S9I+)S6_QwQLjEl*IwJR=;~`AO^QOd0+d$w6d*`U!Bls@ z{_Y;#dlb5@s_`tt%Wc0?wiZRINH*6QfLg%mrZNg3{h1qD#3m!tze>e3lFel!j(dC( zb;7rePCnn8_B=W5`JUTG7q*km%HYdxcg2I_BjI}r#;g9*LE$@~TV2LpZ&$EO1@+ZY zQUEd~>u$BhbSajiVksi_9W?CUEMl@6ceO0;T{4xq`!gS@GJW@l&meRE=O6wjRck?< z{>Q%{b@;#gg|m^uGpb>a&wqkNiV;b6%Xc)GRHrqeJmX^)EjatP0u#pFea8g1un+D@ zlZEvdKj}XAq;NPoMOc-)CQWh6sJNa%1;g?$Qjfn+Gd4nuri`no5Ksa^X7cglDl8zA znJh9OJojb@qmw}bnKv@V$y_)7&MD)g6Ekir36unVqchrdsbC!3He$GMP{22W_kkmW zH_2ehXm^Vz7*tPPx?OWM+*G%oy}2^V#$~i?ciW(0zQKb7WExr`*#-?8Is%@zL^9~~ zD&25=x`%uvzMESFPl*7*Dnf?!?FhWmK-{O|V81iq;%?f>VdEv01( z1soSfBW}Eov|(QaY-tNrN?Y2p$&6{5+?GI^#3ZGZaS4I~3S$5l904N&qJRW9Z~=lK z;(`Wo0Y)JpAgEv%mqF3-|2yYANz(v-=Y8kDd_MEJSD*Xb@7d3D&pr3t+~<~(5lB!v zx;!5=YII(4QRR3<@>02~MB)-Qp|q^Bs1&-qkS}i7go2`>Lr3#Q#;fN|#7n9NwE$Um&ObVwd7lF+@9(t-;VSzL7CB4vMglVDS$r>Vqvizo;W5GDC+WL^ax zKME_$N{dP=+0f$Bv9fET^Rg72ABH?COPaulFytqaa;uAUX3QI^5yAD{H+iBs0 z&rxgOi)Wj|Rqr*_@Fg@eWMsBsT{2k#8^uPma+Qttu%R_9Zweb>Va2M0$#W-$3oCTH zF?REvSYBgxv@)#O&0d3@FPpEi8k{v4>whwMR13di22ko=#_oo$UZ)cml%vsL!Fu0p z!S#dZ4Ov<*V-Fc$qc%{>Y+ki4A-<=ftIaXRY{&X_vf9|-bX%M9_G*fA)YqwQo5g^X z^=ea!-iEGjwMKQT4vT8=It}7U04+v)t0$qUO)2}JEUc~h#b1w`6S`x@-N~c6ry#Mz zT$fO2Uqe?OU@+U=s@dAe(_0PIjRvy=DCx_EucRFfOwWr?29}ZL)DX+XR&osKEsIr2U=T#QcVMS^2 zn8I=l)zM`b^ut(X(a1vav|C?yb>fzC`Noh$T8#=nUn2pJ2!}1xQqZpr_L_65f z((;j`i}P6FsL@5mOkSqQQ&7nGRmj9tB4!df%dw$o3&!EF!iu6>P;Sw6lNm7N^5&wmC2;4VFfW9b+MW=CfJDAF3HW;2Kmhjx89+c)}OQy)jC=VfcCKYiewm znH^q3om%H~l1cvC@+l6F0rxrdpd)@`a$qS#QVq!DA}! zCXS>FuqkP;bCXVNw7SjpvLBv$yVoPCY0A>OSr$GL4ZoG8&$(He&j?MW_eD~E-SX>_ z-=JVjT)F%P)-)77P09NuBrSSwnO3DJ>rBX znbd5rRjb`*obLQc@eH0-B-u2undAM_QtM1e=7(5)nNL-q>ZWVH|Y#57+$!!=_kEH-c&NbThVfhKw6oG{ro=`9r#_&}Sdc>~jWgT#hv4>Tr&c42e zH8@Eg-%44_(-}=I}y^Es)=G}(6Q7YUUUR9nJ$cX%C6QdCEA+ljCgBl=)_VY zc>fu?f~DjdSX$J;6yudF#eXHJH%M-VbpOLoTsD)^A#mJRMAE7 z*Chj$&|?)Afw6L{6(wjv*qw?Jx>M1G?ov{W)0Nc7bVbR%TS<-H4Lw8A1!gEIRret6 zJxW^Dy^0c;qv&$)Q&L>_A%3pHT=P&qK8cO^QRaL_=bEo5Y=NQ+FF^c4l(P_JJgBhH z!-_8Yu)>0il{Ee1s5hV}k$}R&Payvjimqyz!h9=`ccsGgPbrG=DMjah3hB2fiXo(= z8Mi7**;bUh73so?;twmVDx##aL(oT*RR1xAeE~kMFyjeDah*_7!zUCNG`8t|lJq_~ zD)c@+4sZs1{QVZ!a2FJsk2lV6&lFnvPw0Ia#26kT9Bv3g^LJl7y?nu~_u*Su!SK)$ zTDm3Zea7c_&3e|J!m~(sAdT1a*z`WUju#rQ;DyG}6B@7Eg_f_|^}b7q@pZWf=hq6) z|9jGxlfHtqf%KK6yO6$$^wp%VA$=|B>qvJc4Ifo(dLM?p(0?F(18H1>*z~?^(mAA! zq`Q;Ghc(#rK71i0w7kakzTU)rNcSb(k92?114!RUdLZdRq@}}!-X~vd>V3Hso=18J z>3q@!qzg$8B|VJvaMDGjZzes0bTR3Xq)UW0`ncj}o^Sk|?zondw1$o%lEY=&&Xb-O zf-O1yzg~`>W%S^c>RDUT9Y}W;TDD76Lc6`!%k&rZl)4Y;F{It3A0)k*^a;|J^pg3C zNxMke*eqii9OPeH4A7K&@7-?K(l~m0nGxM1vCq27SJr9 zSwORZW&zCtnguiqXco{cpjkk(fMx;B0-6Oh3uqS5ETCCHvw&s+%>tSQGz(}J&@7-? zK(l~m0nGxM1vCq27SJr9SwORZW&zCtnguiqXco{cpjkk(fMx;B0-6Oh3uqSj|78K+ zHS#;-nWSfvo=e(K`a#l*NG~D%1nCu|pCP@D^b4e4CcT;THqtvu?;^cN=-jwD_;>&E zZxP6#V@BEDlcc{V{WED@cNyQ3bX(FFk-mcTwWM=M_a%Lk(1v*Z|F7$deNVoPzB_+| z^qZvLBKtSQGz(}J&@7-?K(l~m0nGxM1vCq2 z7SJr9SwORZW&zCtnguiqXco{cpjkk(fMx;B0-6Oh3;Yi(U_hRUkX87GwG2A(Q`S^4 z-}raIv2T52%yL^Wmdn4-mK)C}z8~h{zUJWyP{GIi$_)_wWAI81eK{wIIU`8;wff(eXL*}7tbspAv0%h zqbo6OVqT}qYjZlNBCoAZb(!7fI?hg)D#AVHDeA;VYmLn=%J4YtQ`F%+L4(`oRnc$+ zW3x=0?D0-ESx=kLh87WOQHis>qI3XOtUQ@5cn8_xTD+>0w+%|`|hBuNYKuH!vPMmD2G23K< zct~x%*^Lvy6S*yBZ&Mbx#nl)iue09e;+-&CoH#3H5AU+sYZiNF4L^3Gk-U1R1)3+a z+G#LY?b5VXyQdMBhIyE&hT>}YH~~T-ON~reBU=x4)r(jt9_v=kXekuVK#fOL(YG3$ z5p<|VoEv7cJ8Q*`+rN$)Q>WIUCt$VCqk2s)v)8M-9o_pN1ZPmKLu*{l24-@rb{D1|0(PM)?1Hx{Bh*HAYYGcjGp6Gf zuy8}yr7+(g@%K#tX0OV|*D#DMkLvcaJ5l*`(VS0Opdmr*nNFV8rHVL_%av5-`+-OL z*6_CaJ{Rqtr{nEj!jD7iFd?VOOj{N8wt9@tHx&$qF=n^TTy0k?yl%EjmbOPh6D(e~ z52Xepywu2IUQ+lkn766oM|7g%C75U@s&yuIP!aRde4Vq-h3naEVozd1^&jQ=f?^*L z`w;dl)nZr8?vZBi#6q{*>1OZi>f*;A=`e}dtlR{D(}}?rPdCz2%MPK`;1{A_Kl8o+ zC%zBin5BsEx;n+~#Nb_@;;whF4Vc%_8WW#s*ou^Ths9%Jn^I83A>J+j=PeXIV2&eX z_7QI3MPh&E^Gp<1D2((|%221fuHJ6;Fkfmpn&n~lrXs6I7!Z3O_Oawor^b`7qvS6l zdGr{sFM5QZIR_>QOxJr;`J{aSk>OK3GAu0Z`}^(;x{U3`G=qf5mx_DlyW?`kP6!uBAY|8bEbiZ-N~tyYTJ z+EQMjZ??p}$jbJ$M3uNi>M-z6v=kM8gS?T$X(-)yobSV*@qOs1*dIybJ;G#Cq1LkX z8F5=|$cWowQwH*^;&q1(A+?TAT}LxK6&OA2E5wCFyMm&I$mcu-pR0L!vofcsZVx88 zS`V9-iBh(sU+HK&k6e)<8@@V&8);jHjh)UA?VX8MC#~SF~|<^p)v~t#a#nD5pP~JB@h5xij zCyssJi{mpb6nSxMYt?jdY-%Mhj<=9A{CAX!p-z|M`d0ilFNXMrRv7M|wDQP{0G z(ABU#;wt$z4YS6R=}z{1OPAX@$;7^I$t`PQ>oeW#r%VrfzBT5+$)-BnRCcs=J)7MY zJ@)ZgG;dr{C0nFajAKjN;+`-RQ#Lz`*yZ8|cxGEmSS2j(tNsK(P}hDEmRy!sW=F{_~mItd>thevgV^H41(*);)Q({oEca7bjn|@LkBlE1!dfL@F&(7G_yh zJ8nB{QI?9UjV;N-aN;Y8Wq6W`J|%1^PEd52I9`VuXn{ip{UD3qwF&lS!Q$dEfE~zU zDLDUF!eU^p%EEw^_I)?YGu6b7pm_f?yvWEB-htp_!Y)g3GRUs$I|#dO=pc*R)B$%) zel}Nkz==1pZ5@#HAn&z*vFPKT}3K*{n8mE&G8NeLo7lEV~vnNBq&rRF74u zDSL|9%`)=DW5{*+a@A*LBZoTpTvRc$irr|uVI_p*SehzJeKWl zKam}7KM9XW)iyjCMR5tRyR+)pybcbvfqmM+$F8lwJ7HY@+-Yho z!o&Q0sn0k6En&qF)cNtBE85B!NbxDTA)P-x&?1x;Y3EadiosA7Ztd40jS}wUza)|x zyg00jq=xZpfIroz_}f6kP^=HDdCoZ6oVciku1N?pbut5lz>teY~k-6 zN%85ziXZ=lQ^LAvs;`qz@hOqZeQkZH#^}%Rbq?f*Mg>x%DK4W=sq!fyT{I>1yHJa8 zCTdKrit7BCp^kyy>Gf3sC8`T5MkB;f6;UFnK`G;fm-*4?fMP5QDIq1OLwj_Alqw_Y zR9r}0W(=enL#-mI{*>IPVsHgo=v`=LRlumPf<}*julHqy6<-UHKLfdyNQ+=9igyKd zxm6+gtI%2eLAka#^z~JiGCdu82jYA|4B#u@}E{?^I zm3%9)zgn`3*x;0W2XXKY$qR|uU6KRDRnsNE6ia`%SnJ}UW7#L=%M*Tpzro}a12LA&JH zF`h1Yek}b=$xjgH-Y0oIabT|Gt+DjGB=06>?@RuiSieW|x5T;lt&VSL?W8@7Cna|x zt~w?8I?h-Thp*6y^m)Xe690*qT`A)mIb&wk=S#kiIG6Yl&X~Z0J{iA)*f3r4^TdAQ z5OI`vH*wkBGW{W97x8K00I^Ol>kARLCyo#sh}jHTUJkL5IG4DJcqFl(xSaSw;&H@} z690*K39*@T24ewY8}UYBH*uKw&&0=xXA-lSvc2~cUrfA^*hu^s@o?g$#8t#AiKh}j zL+mGhmUtEMbHpLymx%Wgze*e>4iUG!N49r2v4Qv)aX;d-oU!UGBW~SZ@;KtliT_A! zB(5SJLOhYUoY+NdA@&h_iNnM`;=RQ4i6g{IiH{SnCXNzsBtAp@1~I!=_J0p?OX5Ss zdg8Oh{fIBglKuA+_vPG*u@G?)@lN6r;&+M15{HRR#CwUWi6g|d#7Btj#K(zU#8Kj@ z#B7%A-(4}rZ~lC{hqxv2{lt3W#l#mAuO&7RZz1kVyqnla{0VVC;?Ib4iBAw05dT6v zoH(n4v}ZB#wZvt_HxgG74<~jJk0$mJR};@Bb`txErx6E;XUBN1wAXy%Ao0V*QT%Yo zw|ZIF z@7rMw5_m>(XU@2ll#S%AW9%vj=iCy3tOs$pSn?oZ1H~5+Gh)8X;N^#?d^7P*;)#?# z(hUdL+z?)$F-IVqMx1Mud=GJ1cggdJS+?XyIOBd5p!?NQ&Zyt`ob2C|ls>c?m0(*( z93*~)7!TzY`XhwFJ+zdgp!Np2)A z+aQ@wb38qk*`mD*iP=k%pCk@Zc`pzfUX<}Wh+V|{iG!5?7_t8anf^QC5Va=-YcF1Z z^jR6-nz)SYc{QIyPvyTt z?E6xt-$Pu*2QoJP3oviL@q}c&D-ay!4=LF2Kr1<2^3}vHo(Wqo;xgjl#D3xlvGiv| za%Lm0x=rS9BxZbIW1CGJc1T`K9CAxuPn=7+uQkg?jM_ptLDr2 z_lend*}nb6;cb$S5xd&R`tdqOlpp9Q89zM=dvvAwSb;5h|MhggPA4|JE6Z!oncMGK zng3FX&n0_wA&&Hw?dwS#BrYHh(fz%GI9ednTVvcomhU7E(D|57>}oIL=f~oIC;4$= zJ-;zwTSXjsPqzOh;vhYr9&moQw-$Wdy@pm(^VU4ucEySU>WPWoj{Yn{s8)x(< z8kFsu7R%pS@+{&AoxcUd#uYOEW5m%knf@s-YLb;9Nid0DOX7EvcwZ8qNa7!pI0Mg~ ziS=ES#MdTq?<6iv;_@V}PU1;P+?d2OlGra<8VB}Rmc*-*_yx(Bk>s{LiSgcs_ctE@ zWfJSK)=!M@oW$9ZOFflPq>5%MREW z3Sx%vXH5&l3Q-|7kXpz@hz&9cG8tlr)Il5&C&UHe%V#&l1Mx!m@^}iQ0WuZR2$=@? zGvs#2{|UQc#`OJnY*&PO|5NN|V5SScVl>HDj8bvm7U5kdQ8?boL+O1dk7F))rub_~ zlYA{{8eT~+u5lzhY)Es5JbuXEnnRP{ooS@-MliuUfbm`2=~f(z7ri_+C-R>xW`=~X`#RHOa@vvsO;(k6<3b{7kOPx$W;R)V#v2gBqk?1iO z3+H}wC`NeLC5FYk?s!;yAzKXdc(E&`+n9i=~Kup>#r02j_TaOvlb;hrd? z?uQO{-sFMQ;K14{h60gl2$t;wlPBoSdaXXG~5EKGXPH4Ea- zbj`PNej&YkOmSBp(?sr&W}3(y(oAuW9+TZB{m^hA9MQy$OE`nY zZs0f>(mRYi(3(;RPqZe)7~mdh7-umbG7~Ne>UhjPJcKtdkx{jD9y7tKNZJ$!+Gyt-ng#$1p1rw7`w9u) z4E^8z3JKSoxZPKZXAe1<$zx1hrMOS>bq8ON@_EeWsI{vUSW;hC%|8^&=DwM@tz(8# zt=Y+(jeBeJ6xq1HqAb4FF0d5fu164iA{isU|3fHWM8}hGI5$bc5}q>9(!6<{=d|Ix zt!kbp8+U$QrgO6Dz&B}lB(hBA>po1P9<>mD!K%k2J}^Y0Si|z+7K^XD+-8efsk-aR zaF39N!v}uxr6$dC_}YMf@n;n?pta8IK_!^P%gnVXLf&O6`G--%tuV59DB>$U5ky>! zdlPZIPfzZ#^7-jbNPJGK%f+IY^74N**(CniWE1~)lX1vQl@sM+9-5yu5x`HU zIN(E@nZ^qTZqs;rR+s%_rlHJ~k0<(kj956ho2nreh#P{NDn=LorWNO-B=M619#DSH z(u@b5vy_u9yBgmjUM-&+sEN%(cw3u?@J1(uh}I{v=te?->`y|#(1c^z!-N2{Jprl{ z!IB8>M1VOGGQlnhlw_dhG0B!nicK`Hb#?YX$`&xhLQMi9MXtyAeatbe~W6YHupF7?cUSU-PpgTr_tQQSZy(ztv&km?!$I`y7(_;bKmJVaISae z@j;$dm%e`6nl^8}a{01v-p)GkOJGO5`2XR-qDF(iWVPD1e(Kz`n*+h}l1aWTZ(jOj zw=*B~UHQBGAMgFGVpnY5@d1^QhT7A&%{Kt;1WwxFjH*Gk5 z(ir{5a(!djPiMRTGdHyJtyIIuC%c8y2V6I5{~Oo!F*(18^nc&-OJ0Me{r<)+^{bzL zZ_cB0=00-E^s(DB@9W#)jjT%xd#?X@_o0U>wgkUF{pe@yZhm1~ceDP+nIA7|+xe?8 zwmE<3H7|Vc+nqm-ywPRUKTAHDP&06E(W>&fYfitkCS%OUUyYyNqbjt1W7*8ko%`;8 zwqoZC(}&L}x%KrfC#Jpl@*9r>e z%TLYvw#7vk-LUZU-fh-RJaS3q^(}*aR(aEjE}Y+Ceb{?pgoxgdP?fXiO__`Q}5;l*ojG0%FrR{7>s zn;B()ZWV6-)t2n#pEXo3d*{QGOZWJU!?*7%|8mUtuXk8hy!5thLne25VeIh`yRfk)O}gmdyb-Kw|(DxW94_p=TtqrW9sqmUcc;tkw+Hx zDP6R$?F!4}S)UJlY@<4)A-AyGt)p@(s_&WHY3G~cI~<>5c{jK9gCB2xvrEr!A9-V5 z_MOqz2fb^&J?~N ze}CoY*F1lq?s#hYWw|ZxpE2b2ZM#oia_sxVD;qQZcxG0o57xiA;G&E@(-x-Q+~t9+ zl~vBpFOJ=ql6h>edE1s}$6fs8tVP!~EdOxO`!ia9B%p0n6;Ph zesajE-0-F$u4$j2n7;MF_E|IZy*~|{YX4TaZE7d?<3BFw|NMsAfBf#E^2@%O)y`L0 zIPZ(<{tux0i<^2!9q9ld9qy7aNEjaS_A(EU%p{K=%+Zo@Zz`djnQzZ?HZ z-hjbZyfXPkk8#omZ06Q=^Oj8`(4C#)G!yzw~%F5`|?!NxE zKioLTUpe3ThJVJIr*8h!8#AY!9K7Mx-GkE0`>sftbJwc9v-(}NV^q#d`#1jDar)U; zUih}IL)}MfzaMeo}-K34xk>yfv%8M5=RVf#I;PtUySt&J}gJ~Pm{DSh*tclI2c7xVZ2EEDH#3-X}a00s>5rm!C#6Qn8Q;cF@DHJ9|jN1 zp@YnUIkKFAIii-qnLiz9#q9zACvDR#pjkk(fMx;B0-6Oh3uqS5ETCCHvw&s+%>tSQ zGz(}J&@7-?K(l~m0nGxM1vCq27SJr9SwORZW&zCtnguiqXco{cpjkk(fMx;B0-6Oh z3uqS5ETCCHvw&s+%>tSQGz(}J&@7-?K(l~m0nGxM1vCq27SJr9SwORZW&zCtnguiq TXco{cpjkk(fM$XJJPZ6U{jf4Y literal 199560 zcmeFadw5jkwfO(eOl}asKmvpW=8}L)yvtqC>?B~Uhzi8kTg@Z^iNuHy#E<|p0o1nW zIn04pD;_i9QcdcGmPDDV%^+%9Z$u zqR6QgO-@WPG`KK7XUD>e$@@;_D6RfZ$ z0eFjUsX0b)JbwPa#o(<^h{2O@<29BL_kU^W{L0cBmy}h{k7dNeOZzYe@3X67`SNYW zFIA~ZD@f_r5BMuBonBBcgFDhY3{LlR{1c<@5vN-tFB&j zi1uktS(gZq=2u}^_x zg*A}xbNS1ROTYQ1^7*%x-7Spe~tl|IYo`u3F;K#o-(oKKpYzZi{!c#FO3Tp2JbA&+kze?3Pj(Jv4A)qWL%9T((3<>%8$`a_+aV6pYKtmQ++u9Di2Xt+(Dh|EzgsOK!jE zmh;D*a~}P#{}cEcZ_@t10AI)dU#w4yN}bA|^rQDRySkFj9&3Dy+{wRD#&<`8Lp^Mc zc|GUkeaFPQjIdGB#CpmDE11C9fk^?6>aFPQjIdGB#CpmDE11C9fk^?6> zaFPQjIdGB#CpmDE11C9fk^?6>aFPQjIdGB#CpmDE11C9fk^?6>aFPQjIdGB#CpmDE z11C9fk^?6>aFPT6FLI!}{+Z@(hYB2;Yis_}p;`{7tH@BLMQ*dH)^W-&yTvmOIczNr zbv2!3O0~NErJWDXQya^YRKRB+`jICZEjgU7MLHZAEr;e7GYy#$Z;QI?z;6HfZ(O-+y^i!?!E$yx+ zP1?T0Xj|)ww%Kg{z1}-j;2hGHtyTfS$xR(8cL1IUKEJT5$X(=H@v1l)Z4>@Hd9BvG zKSzE3L4qpj$Wei7DCbUAtqwPQQYz9kNQ)eF3~xCA9YRA1`R~%kMtk}?`CgNxB0^t0 zZEt_=+gAoYK6~azll}MIZ%bAI&u1(5RZ`#No82+&C7bfk$y}>C3&~RhhONsd-^Be| z-XDoZhj-YAt>ZvK;C#L{`e3(H1-_!LLpjz}s9`_z`dyuGQcn6gJ*6lD&4Kh3M`VZH z_ReplK6pwyr&C{We~q-)D%3`yKY_k$RJM=GIp#utL|g+@B!PZwRQ8VwNwX)Y$QtC% zPPtObX{3p~I4Gw-Rd~vl1U24{tV$amzZ^$atJnM?0(FwU} z>*u`Z^3QRkZC~>Dh=0zE6sqicczxzvPV3F2J^pN|$4g(W>@z*eo|;RY3hH?E zIu6p*%(cokv%zi8bEmwJrPd~83tk<&{d43g^3f6T?|rC3W%M3vHsmoT<6k-Kd1Ihs zTap^jvA(?y==eKhPWV%y5>uat9v}29fSz~#YqHjAx$9;?&lu?GfSyEyo`x0MHhI7; z2iyw4N$^?=KaQ84pb}HDKwsQFQ?x4S< z@51PXd8=0LbA#hjkBJMILw>~&+hu)_l)r` zq0s}~1<7hWG^1<$bKYaj2;JtN^hX2qmqPyx=-=#LomHXbtSf+ikI|nt=zpL7oWG(; zr{!1B^1M!q&|`O(;#zJ^gK%Vey40W2Io%Z0FedcPnBd;Lk4_Tg{BxlRGNv|yH z+@Mq&=d?0v&gV(Oqt)Vn*j33P zM@C+|J-w>hh7No2&}7$6wb%`u*LmMqmo=num~F8)QI%NfLzm7LSm{N{q4m%xG#%6R zZ|ZWkAxRD1h|b+wVVkmqGE%nPo>6u8(P+tg@O2l*4VO|z@bh$>8W4Dul*^zTysGNo z9WB`i9fG$>!?*AUuO9q?yAQZhCX}lp%YiNY9|61r^wXCM-L?6Sp;a$J+p{l5CT~GU zY49Q85jDF}ITrev>lD0UP8s5YH$QFaWTQRd=VkQuxMVdu zl&eMBz)PO$J#~)op_OkdfAXyS>5P`VOujoo1vUdy`tG1zy;Ruc2;@?(tiKw3$T1?% z2Aq6FpTno{i)E7|4qM(H>cz%yNS7ax1(6-G6Aly>hay!8%~{BW*j3s~2PV57QHz7v zCwD`uYpYtU_2c=lS{zQ|8B~kWfhA&lxX~A@FD(vv64c;azWtXb18aKofx_fa`DMwv zeu>#If6)8h^|V^-6&SU)#U1c_+zM@jt5q%DMVjCwFdfLQ-+)_@pl0VQhu-Hi9O>(} zBxqAAEOL5DSG1%wQ!SqU$I`k3^t0e0ZBL9w?{#TqPQgj&>oDN?G92A+zzb=o!x6(> z=6CrH8f9MLyA9jxshSzhlCF&OKN#h_#`kXHJ8XQn8{eAo{ge*J4xGeh*L!O5tbxc; zf-NRTe18D$nf@pLqtn;%g*q*Kzqc!SVvbF%mvMa+JP2*E1&-QB1%mt3a(J_z$#(Xz zJ(&U5p3EuIzpo%;oEy$qi(Dq1_T2rAz!cfM(XJ*wkQ|e}En93;ep#kAu5c*ESbEj3 zsZ&%HliLH15iK2#VJ%&b^t>4b4q-YTgiq+zeJ9M*wpg=Iqx!0Erd5eC(T-p`KYJd`$jo0<;2gqfoB_Y+fwTE)y`im_1`k; zUwNE%&?7zVFiv!QE;ibkZnPtFoH>u?m#GYyOHKOSrwRSX{3hh3Mf^3HvqT>ag%@qZ zRO=Ja|HFZ*^(~%n;Y)P#%*2*gsaoVy+Eu5BEtB5zvAiev_fDeiGUi)9d~(%m)wUJ3 zW>>AMF5ugZ?d`><>4g5t1`MhD-xfGRzrY#uJ>W>WY)iRl-SOLdi}sEfxLeyrPxRpb zw9#&|1>X0?|4|E^76Z;8WJHSEe&ZDjgr_6x!$oGIFv~RYQ>x*_N zcb}zPdmlWK@p>EbEOPx7G9kRO;(37u&q)TJt1WQ9FTJN*;EXZg-12puX0?zY|?+_Sa$F1uyM;z>#tjE#>;cU&@_nDc9ade@VFf^L)ZEMvYAJ-7Mdn9X$*+kiWBTJn{>>O*Xx ziInkR6Fv7}Q6!OhgsToRa8@OWPT=t!O(}Z(CJWQ>US_V{*RHb`fnarEQt_OI1eIqv@(-0c{`PyTdWErGfSx zz-i=aL#qcx! z27baH;to1~Qw-jW=36fZjho?3se#{g@LO(IA+dpdYDCpN*qr%s`0WO#qu?WbzO7Vk z{F?V5W7YNdJh_m_^W78B=3zK)jI z!0YeK|AIpY&)_006i!qVV!mEhPmE7&=A+mX-Ssg$S^D!H%3J$qAoh5C|DbPs_0L(@ zfJxW>(xfTc)(Zs=47 zBwl-vKVO}5Ne6QCWXvC0-#KSg;PG75eF`)VL3RgHUU(w(kAi-wqmops4H-BEx=kMJ za;ORE&@8ZrUTM?g!2&xhvN1^f;$bcM$ofyQtKH!Gc&^sn0lrTX;}yHk)Fs{ZFX+CK zNNC z{X>vx#<|pyvQjV1c$V_6k@&xZpwX=sD|D|(Bf*)B{p5=u;(?9`e!Rqtj?fRbl4N9` zxRKsZ&+GjueIa$FFLWM(v-HOg!Ao!!emUTq=&^y&Cw`XjYzHzc`ff~PjCbP<-kCa2 zbeffSqVo>HJM3z7UV7C%$d29Q-3n;IClg!+za72eGci0RP4a{`DQAw|?)q51z?S%z z@b4P7--5?Q#PbkRM3<0*LTH_8=|CjGoH?t53<_bq(O*pj~i1J>@1R-E}#cfHcb zS^GE@@na84AM3s#Fx&JvqOIkz{KRVFEUluKyztYd5tBjwUY7ATntA+GRdREG-id#x zF{C?rXMXP(!83z?&g02EU&eeNTw@E=V7m=|duf;W^bM<4Zb+*v>q^U8>`bflbftG2 z>pRG9tLmI2+v`+QRLNucGpa={+K^|VLE=^2^;$EutP^|Z<;k(OwXl{wIg42essKlmY^j$>ENn%aV*8z+(Q+bCz8#+_qI4$^(1kMB5 ztDGZ&qsOVQM^9$K6Xe5nCH!&26ZDGf61A91&PrUD!4r7&b7+_NXUD?Zy0-inA9>+~ zt{ld)Ydm#E(>`{P>rCFI?Q_8+yLX)mqs~yNb2H_Jsgld+7uP)6k^ZP8&2_BKKWQgi z;B}T!?-b4J3>TC+Z{YpYv0kSu?Plkv{d~?(!9nCh_;KjaF@7|C7AM@XV|2T7RmlM9d!ZXVgl_k_F?^l?Rv3KdQ$I|bL8%Yj zS`PKkpe%F;MUJ353{2sbS!awy#)K$*?;NSzEwNI8(M*8F#OZp>|5~@u;oV^HtjWbi^$>j~|&dz4{>wT#pxB3)!`s71yykg<&y+~&+c#(qh@>sI|g&0GF!}k0)V`FN3*HX!!Og|eq zj7VGMG-V~z?RBmNhfMIwO1s5*&7W(XA!KF&b^P>e6F5(;^mf(n_By9ly1Vd?d-cP9 zgD=-v(#<}2j6AbXf6e=+Q+ms?#L-l^%qcQDlXt;)xP`C7;Om=Nw>yWy*CO&we5QfV z14U)dY2b6ArCsT#Z1^a0fq&c!&sz;V&x=d1Hqy_COD{9h@sIU(rSF{ZXcRnZU+C@n zEO(XjzZ+LNpIPYc8c7+!J>7!)5OAN@KdX#>^G$CW|BG@i@QY^0C|Q|p~s(7Yk8-awl$H6=IzL+HMH#zXtSfPJv!6PP z1U_RnY{AcFjN50>7dvxf<5qCC)8_>*`Qk0Qrb z-JU`n8DG)|re2acY(9F)0q^Z%hZ}lA=SiYOs zW5xh2(n<_p>^O=09VP}XakFJS!!o~Pr;0CF3mmaim+=(4N@DdjdfKu0`J(HN?M)K< zAi<_SGkr7%?{@wg(i{=&tk1-^Wxe?`?*ooVDQj=}mn4UL_?P1U4kf+)G!=OY_)=Et zwa=l9mK@TiCx<5BA2iJ=*5fi>{Cba4dAo+H2^qxVe?hGB$!rywh|jx^_qov6mTL=m zc|QRDsb5F$^+K1tr|_=u3+B>J(`lL>kM|uX#ufyZH>fjVD7G)KWW7V;wVjdJ`hvV4 z=3QWE1}w3U{qQh8W;bqtitGTMl$}6XDYKt8(~UKNxqORHAZ^}DoA;)%$LctAyhD2? z9d8JJ{3pWHzz~ABA>(4@in?6B$@aKT4l|ML$Y^5}$09zSMwywSl+1 zU&Xtu<-AH8`=HTU?s7}HnMS$iC?|6LEYA&;KLq?`z$L!a8aCi-l$9|c@GsQs4QqLV z^2u!rA2>cv^>mH;vF)EtbVrm;2DuAVmda|dNuOBpUa5&j6@LPp*HH1coaDS0@pI$wS8bUSHM_A#Ev{JZ-N|IXIj zU8DksuXC^`#MaVY#XeRzbp%(G+A7vl33c>=OGp#ne1ho9GhKXDmx6WNR5 zz8F6UpU8(F)KSR$NZ!+!KZfwkV4lKH@(sWq#m~EM)v^ttB3q!zp1IEMXD=6PyqS)) z*RtW&)}q0Iouqd-5?T&8GFv2{d1-bAdG8^UTa@~&gY*h@WN^+M z_%*_pHiKpO@OQWzyX0g1Ngw`B7~jx`zvHL9zF_}89=3LRFW8Tg zFMO>z9BnoGy$pY^FL*7-;O&X^Q*T^?Iy4=3Ckjz+%tzdr0b_6U_UF{Z>X+lkzE;Fld>90^aPf5hgSM0vZ)e94de z6|#;Zd<(MY$U&Jr@>mZY?!y*z+nMn=X}$X`n|z5e`NRfhocUI;Kj)K}938J8 zGb!I!KMsy>OP$uM9~Jp?Y0K1E<>;$Y(N{lW+!41cMPK=^B9_3|D@9*vSCT%7cl1>U zW2F>*6-J+xqOT4xhVF$g!n-E>aP(44Cmpe;z4qzVF&v*H{Qtg`k2d4|4X91QQR zuPRjYTjXEDn8nXp>_xAL-YG@zsC?dugOs9oyzr?My`%jghJ)w^X)C51hwFX#YJ59! zdgmGPMemfNcib1C)6g@e=$#;aS&H8AL$}a(JlIcu3wG~5{T2D5cS_MaZgl=5#MMeg z?|68kcY?%O`hp#dhaIPP{+)bXpMMc;6Q8Xwx%;tzqf8YgZxz|!0pU$)$fg4Hu<-lp#I4C`rh7rOeOz@6VNt* z{Jv;QjEAlDrtQlgsg1=a!0j;k$HubQ9+vv>{XOz0ouK~T;_Lf+&l|6kf7%J^zY$+w z^{)RM`NL08|M~d(TJQR;}#xV>s23J81CJ-8_7>ZU-wo2 z=kfL9=FPR_V?XQlkEf^aAYWwTczSwOJnXQgZ_(4$&s5> zOGXC7w-KiskN!|?yqPxos^3Nau`!N}27B}WBl535LH&>8>-&4x|10_IsqVA=|BA04 zH%4C~f7%J^zZ_pbZXSG!{4KN*0{HVbaT&(mv{E}d@jDt+AQsB z&Bi`<%H&_En*HdrvLw|!UfJ;b&A4Uk{E&}5x9Q5i_iN@KGd?2mQfW`xm$>A_M`C9V z(g&zO&9YVh@kSD{)1(66rmvHI8te`Eh&X3S6MK8hh$D^Xtljt&;xOcMW*{<-cZr)y z{6}Iz<{2Hq?|cgl=NL2y{t9?D@>wHpUTwGGU&tP8TQl@WWM2cm&E9t7U2v8CK5p>L zfk(2|P5nJKzTHZT*ulrm9x*$3#P7Nc*UaTbVu_ANECPZ>HpuabCK zM$1<`@u}KGKOf><=xBe;q3^rsp+_12IFDeSNmJqEz@b$3j7uGGRN&(!K6Q|9;XQb6 zSK-9KJ#qPevF2+@fji>z_x8$94y=sJf6>T4#9nOktk|*sjqUB0bA%#af|u~(2=OlX z8WMWfQ(xbsW8gQRZ}z9P=w}b5FTwpT()6=bQU)BaH|m&Wo}kPs(mI81y-adou2IJ< z^EPE}vzCEhm-5YTeMLmJ3wSTXch6sMTYNJz(Luj7UF4qwyw)J^VR#vqzT)ZUDPzE+ z8ncjh{alO4+!115az6Krt736_bI+OV>zv9Sllt9`z>0OVIFF+izruR2xz8ikH_4p8 zwQ){C&W+jGzvXCVqsjIVXK~!%mZdbdUitSPez7QG^4C{a(bZJ9WoHGkgwlFXSEJog z#r~5LXj(sxvYA_k2S)Vw&so8q8Sx*buEZR?R}@FuuC3V_v`^WjMr)B9jzsS*C%#v} zAMw+?i-zEf)s5?tvl)$?6SszVNWJyV(01 z+jsbXm4QZZ>XCt0V>0mF{XeRA|5NW<{qNQy|MOL>|2;0f z_Wvz>msJ!;k}~{rz9j>iDFdf|TL!>eWI*t<%D~1rJVgfNEcdkI$iNk}eM|-t0yC|+ zAp^yHTVkU6%oH{olv{^9Fi4HWzrpqx88JT=Lulw9u#N>=|WWUX@*y zc#tno*bz|39Q(A{JLle%ajq6>WX~u2=t@jIF%sNFzn}7UO;-ndUSy8=G+pa9=ZEoW z)M4D_QOBLZUMk?HvJWa&KOr!H`es|Fu+FK_#W~j(N3;yJPGw4Y&Zn`*$}_JxVh5L{ z_KcY-Ve=-1jGt1wv`gBPcCBrCs3)-Ug%&w`XV6k(S2Nuu#gX*1^mU8aqwqTYBRa>1 zj`9SD2lA0Ufpd`arQA7?hux4T@P(F*=@Ziy zkp1oEK3O+1e}Fkp%C4p#xEBL?AFj)Ld79cdk-0Ev%(()qh4Y|&!7_0b9tpnQuIPB- z)i8K<%uY%O4B^|V(+2TvLx&|A`gb*R+-T@t+hGrgZBv*qW|NIMY%RQ&`Pa|xeo zV$v`5fgyX`^fN5x10X4 z*bn3X7`s!U5j{1_GAB%e4-FPQ)ejw3X3za1%hnF7Okh^$%3v<9b2YYXg7fl;Q>iI1Em$EXhWnEbG zo~HFK|6P4?mZdLV2RCb9G{bvqU%2D?;(y%_PsIA+ceG>ehgsHsc)2L@J@~)AhyUwO z(fMCv@}D*={9h0M*Z1%r*qi=;;=j!G$LD{{kJ0ajV87V4%#|`{i_a?axcIE%*NdNX z-CZ#s_bm2c8aDTOksJKk_0`}#6uA{&Ho|!7e6uJbGHR=j`LXSF$NX3yXN(knvL6ZDlj5&-k^;x0c5pX;35!1$O62I2;4-1%E z#ix~i9mxDHv`9PeL5JWgxNf1m>Em7>hqw4QC&HU?s`EL+;IZ)6O3NV9)3McT%>ROa z%_`5PexzLo4R-9QvemXgnZvej1$S$Rz2t`XHRY0)zRp*5XqwCKpO&8xzR=}wn3kU+ z&(+iN2gq~Hw8ks6Zjn*WYIM6>i*+AD_F~C;`!LS#N+0?UM<)oqLjNP5M@t%!HR)rG zvyplqAJTnyorZU>wDLV6u%BF-D5Ue%y)kmyv0uwI*41}dngheuaC)pMoR?#YVMK>b7zl@zBBvf*qO!` z9?qVvG8!sux~+QAih@U{E!7^qVTJ9{>zArWgz#Nk3B zPZ9$hz>Dd;1eejIsXUb*v8(14(@M^Z{ec&bM`peRG9nj6tjPt3JMJEi<0X3YKh7!cR`}o8gX`bSaRvT7Vu|yYv;*(g zHxw5~B=)9-9f8f@d_iS-X9j1}1LR8|cRZUMsI!B6Dd({{M=0a_9rR_s13Q*@M6gtg z+(}svcTtJ2U3f}Cb3XgCe##lT0{rI$Xm14nc|6yq6?|T*dkJouO^M%A!*TB~i z-2YOchOR63+5+?7pY+cS=+W!Zqe7cvo_P>``T+XWcbP^UjeTY8Q52rZp3+*zi@?fC z(;`Cq{hiS^u|u2ad$Uim1w+!u@qJss{Pg(L*qQ4Pe*B|TFRnKASC z=_iFvU&`4JALl-V&U<1$!Fr)p+7vpkfzGckkF}jdTubN_dbiU4{Mzy^cm3v_h4=?M zIq$LUksFJO7sBe^N0k6f*kWWy4ltAM9#uyp%*WcvM=s zGv)J@`$Xop4nR&jYyr;QXRPIX3-^I_do#7j+NtxLcD~o7R5;61X1VOdccxWwK9r{i z`U^GANZGiLlYNmIdRy`odbKP?>z)jLmvJ8DF#0zLyiLFnm?~wZ^Fdc}_a@Fgxkyu) zWlm=bXBK_exg>rhFg~Epo5&n%h}aAxTI8OIw>X;|`6xPG)BJPF$@jn)>3jJrt&PPs zd`4^|-(l1Jvx_Ka%1;wKm41{nwh}LryA(RGwMQ~HNdM;|dz;~v57|HKD`GD6$tBpH zgDLN(tTS?nwZf9hAs92m5;y_&WY@fBrG z6PSM*N(}CRU{^IrIg~diiKRD41Bhd{Pp%bQ|6GVT?owSe^p08A70%14Cbn{q#azmWO(SI_ZTFjw$d;)pGK+Ls zUpCWM?{!2r=c`CD=`xR)=|^96L<&h0S&(rcFn;%lz|NZ*oL z+$^|m<<1fM`t#|T+Sf9E*Jf*9cMNaL@;TJ!1=}5w>3okS?*M5^+48s-jjP4*7x29t zJhvtf9;^J0fSvcITzlZFS?pi>cP#`D#+&-lwD)3q@=v;+6uDgZVsR*oXEuLM{zP}? zKbIVmywWF=L-|i9hkUy^Q~wn2JCZ}CjQ#2yRdR}qecDUrFO@&J3#Ywag+5_j=m+S8 z0emO%Hc& z{Bj#*&ZEuE*No|bTSmIneV@NcI+y1G&SsnmubS$$P{DxM_p@q1YO*c)jLpiPdMZ4sK(+W!%+Uoa z?Q+p@`3t3AWr!2zfL>Zh~)KYn`T>Dn{C!l$X|5ogO^7) z1uuW*uJ&7yYyD2r_NRVxd57avXKAAL1@l5l!EMeV9_SFeHy3#GPRA}n52*})R;i79 zE8xrgT4Ky8YH+)e-l+OlU54E|?~kk*3{Zp3^7*9SO<$B{7U=8aIt*4NT?g~y-_&)`A+sA4jM*EcA(;O;8=ACKMkJp~Qb2WMd8)fjheBZ{qKi@y6 zkmo_ifIQ*9$f5Ls@Za-gwB*2fj)3sTk+@}3gI3VF7MZzAUAMC#JhJmHEqkYrxwrtE z=tlbZPVRz+&e>vjHPd$u_CYUs($s7DZuR+C`9@#tUSXe`du6U}XYIe~z_iANvGolf zwp9agb}w}fDWgyJbN7>i|DF}A_RWL;f4He^=UoduJNK)EDi+a7MyIJj1^oZRP4h?} z4IW84|7CvMP1!Y+eHj@XgFMavuXb#RS;RD(>;rpn`V(<9!D)+uQ#<&y$KkWZz^6S9 zpI_0&uV|xDCF=5E;`1x;`IU}OVh=uBD7%HS?-L)n3|`B4hiAh@4@~1JdSL=j(Gha) z+l!v@@cx{{(mst&2+~LIpz{@eyE*sD(@Xk3(mNde^K2{qbFN2rg4h8fXO+Ma7(d_{ zrre(>$9K=%E%kRVhfj5$ogU`Z{oGX|@yi{tdV0An@E2uE^)kX7rqwy(k}E#{M4W4@vi; z*Cg$4lE&Pjr=cSytwYk7H}o|0p``s)(wH~&v?pR|Z%Wz|M%r&%;t@&jU92vh*^QaajU*88|oKZ;pna`Zu^2@O>-&VctC}{ObVc?)p}J{ z9FjTp6Z|$gr(24?cog}?C)^`G;d_*Qmp{>cVhjA_^`b~J<7$3uQDiOiLoW7+ZMk=+ zC+)ON`2(;gu`lz}@Sk{!-2*&*eJ;4$9uWK=yH0h>d?@o;`&0N5X(MBE+7&8N0KLJd zSdaR5e1i-%LGYCQB=)e}4{8@bRmVwitOiFbZa>*0d%^sB1vkM<@cX{FHI&W@$@v@bra(h>u+4F6U4QSps8;Cp-R8S9d!Cw}4)>U_nY z_=)1{{&~cW&Oy*c=e6iOBt|g-AF5{I(w!-!i|;7utMMb<_>k%3HQ;|Y*=?!Uyg_7BslRId3w}r`KFC?(L;i^Km6V%~??F5yQjQPVD7q{&=6j4rw=^=B zh!3(hP5aud;aB2A2HCGIzQ}ZZNbyC?F)BVuK0b-*mx$jY{^MWpORmK)xmNcd>$>tQ zFTgjsK=&WzKAd{&V&Pc>ys1N8g-%86#Z$R-rwhKy-Xj}nFEfu^*BQNc4R+cB>iEdJ zhk31meyc!-3Qq536f{?0Gyeowo(@|e#g@^7Uk-D=%-;?8Mt1Hy3-XNOGuX$l4{);A zc>~|B6rb~(`dO|U@SPg@Zs)0>-=!QM$((-_-&A<{*Tc~^>3{CN9V}~D?Zh(9GJMb- z#CF=^_Fjq2^$9*{cm2z{ebr=vTfqJc6K?jQXxoSA8{x-r zqTfvav>u*GA87b&zWP4=(^NIy4^PBD#gtm-g6?+4l+4d=WKia3KlAf*$cOX?{l54W z@l%nJty@&6iuSf{AzqH0RM6fX%zHA&{D9b|hFr|od6f8(%<<9>cdW3@O}uhU5AOv( ztIz6EiTeDv71{8sZ~LsGON3sbdj|9h-R!l9{J@~wVfd``z-1fp0D)hQ-x|b6$6gCu z&Dbh@q{6w{>bG8pe&IaP?>>%BbZh=OqAz4!`U_+V-GUF8#oc+fyl2^8_w~myA5hAy zqm1YX@n`aZ*Q2BGX%-^ia$kzzDL8t-?|A;-63*638R4yiek})Yk>6P#U~>qK_<*BK z9}s%Q2i!(`q6@_boQ@Cp-ryOo`=D#>BP*TLEk2;kp=SFw+W#9mQgod7fVvJge8A0D z#Qf52X=%C-CqCe#7ajB61cu0*$b#IRY{LBb(*GUI5AX+tCfy$dUX_J^Chw3heg3_J zJafEo?>F^=R!`y=qzGmdEz5r@9TPAbnJ8Bhi|l}5Itx^kL!EYXupB= z5+$)+_C+mKDpXQgwlhRo!A)Yj_!PSBdM5Uj#CX4AExw4pXD_e5r%7U^=K81PS0X3U zzFBrMWhL$)d`c%?DY3pL;Nu_dk$qv}8*W%NZj48#`mBfwwc>P9vWuZgXZ-gJ_8ji%M1;1@4pyQX&!5#sfj!l&N3L19N zuHX~D?jh~S9hfq{qPx{=B2N|A=g^kdT^~Cq?;XHzQKYMg+y(98F4X??QyF{OSd*%{ zlyU6U_q1_GDt1wszNgAwbp~Y$m73WAJdbt`=UdX{KF839@J8MbrOW>0f@azbNZhWc zZ20V+vitieD=*N3i{Dk&eXMMIA7xb^|Dul5Uqd$Zy#Xfg zRO|Wt=1@X2v5Gy!EVkzd`-NP@=nl~4E_Lm+qaHXlK>5%YloJ>_-@@le+Dofx=kKITn&9K< zI49tt4euz``qY+wdRd9#Gj>`$>Y~82x5n_EMw!;#oF67;MVw)etWoD&#GVNE0Qxwi zWxRpAz#P`|p3#!dyPvk+1vjP64dnEr4mgY?U0Z++j$Zwk^Sox6&77H#eC0hqFcN!h zh*3XhfPb$JBYb{9@~1M6QpqdCz9QD24wwOsgdh! z>}koD`IB>J_1xM20B6K}4to`Mj+Rh1o?PzNhVv$urxQ zIUn8fnY1nCrETS&7zj>Mk)HP1%cZx^9e45V$G82)x7wYkw=4X3)o54f7rMV!+d?~W z6OCBKceVXQeB18HJ#9b!ue2?6)3)4&{9SF|Yqp(g_VtvWw%5nCeb(`K9-gN2T(_^R z{mvZe z$i(AdGWW9@bjet##*h3f^M|$mufC)HP-}hG62$&e?qlu$;ydamTI+Mq-=?_wcN+EO zH`4@n;fdfcxXTzmd`WB^3jU9FL`xXYz3^Z59qs?kTK{0QWK>-HH-1O`H!StIwT+x{lS9UZ1*tq{eY>4Yqh>fG)h{@FE9l>pMpm1x?*H)B(j!`ejmE7jeU8F zedC#yev26WHpS>Sp- z>_Ch8{y<*fA>&#2O$?)zb@#LXSlDfoyMOVuJ@_T*D^_jD;rG$5`Eu1h zT|YW5iPZC3fCDP)yY6FcxF74DMXV2c`=_rf@D)c2iB)(9sCAyonw<$9+SnPD^_}_1 zor_oq`&RNYcdX4?yS*W6#$eTYacObnt`+qgM*8YE9AF>9vnqLAm^oME;1d4Chjmzd zdue|$djigNYu%@16jdkjp2IrZY0fKM9(?xaN6v7~U~lGuZ=!7A#3O{FZjL0qaQrD(B>>wN7~sPrcpwRsUtq7qf12 z%I}-~r%~5Iy%x$ole&mC(WPC_q*gi0Czm_r`D4~JpGmEDwq!4KHWaIkuge{hc?+Gd zC#mi_zBPDet6b4(hfnczxplgfPS-f#*RuEFZs>A3hF879co({qWB5#oeXE2mo6PuB z6ERF}X0cAw-Qai;G!+Q{>ASo8EplE6jy7n%yI+-)zUd}r(V}B_ZYtA{rSoB zom*4pIb}Wjrp$8ZYruKH=wFcy8+|+#SP#(0iaNie?gR9%#GvFkGG&ExQ)<0)VRoJK zPU?zm%U=h2)r>zYZ;F0?G!Z_CT`j)87x|sTx6jU;Kv~t166j`)*P4H+HQ(DWa5yf% z(3;=TFYrlR{sq>2Z~wsG;_}b8=6CcD{C8Y_o{@jN^QZXm+jSovoo${Ki0xTDb`Di^ z-`q!Lg=+Y{v>NUNmHF%=+BggkbeiEym~Z9>W34s4g?M7*AZel_O};#7)QPRTrnfu+ z&)y+T&a%ef^b0&@)G^DvMVURMN$fQSr(a;3QO7L9;EVi$G+FD7!Ra4(z^G%E$pW9> zTg$+w4SZ)Q@u5}A&vho?gD0 z%RiU1t_}EW@oT(tzGczHGVgGf99fjPtf@i;9LT%!pB1q4Y|mDqo53NNt%a;-g!S^w ze^OST0~KfDd1tKb^-^9*x-p-zroDX|F%a&K$g>d>H{&{P|0#M~O+}muqWreb;z;}3 z^SZX?61(@=sxJqQ8FMjZK*plTfy`}khGrvcE;8r+{D-qbYi?kl>W9UV&BS2~S8x}o z-7&Kn7^{DKMM&!T|H-_=c$T~^l1?2x{flGi|4I7Y*Ukzx0B1Gj*O1r9TJ|ff;RWH5 z%#lv+7G1?0I0jl>%!B@%3j*TPrj9IX9(=vl{Qi1-VEwA%$iF>X9Qnly#gTjLmqfNM zpWh|($Dde-`@35ktLo5OZw6OF3#!5ytbd;pSuj-g|zNW@asp+HvG=RJF`}5 z8%itlI!7n-TL}Dqh3q5RSh=dJhB)|y)Z3gpE-!J_5VzJos^7O9JZ=QfcUV(+51+tc zv_-qU+H%>3R=rGHr-7^J-G9J~@bbrZN;}UnkDLl^(#{>UGmmyIPQB6jT-prRJlffY zjq$$U9%!^BR<*Ey@=5kDiapjYF>(4v`h?$B*jq!tJh5ukzPoNHj@$wN-w&$5Hr7jn zm0NcT?0n#UfR0D^mi)bTUgt%?-d|ax?~htbx&8J8eZ3r;H}4(Ryw(B-S>C$_Sa%=` zYk^lmx$?^3&W2iVr{cYxSaW{mxUT(nrLPB@hEHXb*pP!ZtAb#dsMd8{dCPW zt`&U$hIvEyEIgiS@OTaFmQ(IJ=9co*B3C)(9x}>F-(Tp7!JbT+|DL+ixwGP0*JR2p z<9pHwt^2EMuXQcs+fN;#SNIi+kv{+My6K`*V)q9ez_u41A>-Q|w{DdcXxgFzvR6mO zFKbBM=$XhJjNi44$+aqR=8p8_vC@~bW)LI!8F~SFob=QGoZ)ji;kC4B{+_n%ZIW}Q zcE*gCv#?6p*V&0JZgzA|noqnp0Xt@T#@0>$fqixfwhr;)k{hp{6}p2x4}~fzwH?1^ zEHTJ-d>S`-?Zgvyp=-Up*Im^MA6- zoS)NItH~34q=>w=s>rnk{joN)!YTJfN}kwR#pI>gi(RMnU*Js3THus(C8qvejV=8t zzo~Nt&%(?_&dssk%~?DUUdTGD=;aP{ykZ{v5?fu?To3a*+~&OqM;r+)oy3O!!q`ew zTI5$b>a|?Pm!GFqzIWADbe#kI$7^%DM%7nzg*j*9BrVGG(}o|r+M_qPqS=d_jdi(Q z73c;Z_a|_7QHlTZaqC9?Dzbrd zXhUn4c5)9#>zef9NW)k7W@&DxzkkL$k)zf4V=F4lo|d!Y;=8QR&3FD3y}0_6;>eFl ze`a@%^H2CkuC#^DvDofo@sTFu%bm#>@#EjQD#vxQ7Z;tG@lgZ&_8&g&;%ZYbx13W9 z?w5f34|?qG*q*Xib-O#2b^cml$$m}ob$24;^LUrs`*qIe@L&D#^#kyA?Ll@uKIbE+!f$94-*X=O zXP=p?b<1yb>`(PMKl7|~-i<%Ha>PQX>i5Ck%(NSwS6xpXDN|NCKNxq3 zE0cB`;L+$Ys^n^+ld)@+@A`fVosCZwch_fEI&aPOIoYRK@@wcWB|VB?=NjRIKCe^u zb#5a)SfNEuNAJnGqg2|>X6&TW_5ozbjqP5=T4o~Y!%5fEu-92HjwsSbm}%I<#6%)T zi(>atNL*)Hznh#XV=JB6@Jf6)7kWowCp?f^>Aa}2w(IGiu5eydKdy^CWBR^xlZH{0 z`-ZvWXpz?`^}eYub#T9}I!I%A0eNG=~a_(AS zn{5evKfhZezuj;Ym^Wd+$!|D}#m3Qf3BJXSeJa$vfc@|E$nZbo4&!qk{srT5aN)-*^w@^*Ait_(TD!658rw==zjoKU<~B0c!^|bR ztx@IG_YCA<4=MG>y_fVuCXmyP!5@6#dA+b(A#W+jS;q)|`-Fb7sa<W{LY65h!kr)ZJKS;!MTH(2bh=HaQ$?-IK@NUTiG7xViL z_cjlo*=*9+f=-k^Kj7%!lD}5#f_A;HnWx&e?9)Q!oQV>9xaHpd%|Uon!@7PmXAa(m zck=rWE%#p9EIdSpx|`XvE_Wnsrk)0GgpW576Onqdo-gMs3Rw4_&i*ywq43hm!@l^( zJ`sKIo0We9;9rn-ghnfUEf4i?-Ufb(Hm-)&ZQ#`M(538^?aw}I&glq^?qf6x4I=+K z4akJx-vnH@i9hG6dhq8x2mGf3yTHJ|kf+Cx0W1FKcfJ2L`roCptHg$|;y>+74_F0L0uTQ!<+m6H$7F=~`>+<(F)UChV~{`Y)t_^uJTXwvx+y9YYGrS5$A)*YSXVxQT|$fv9+Jc1n|{VzDa10U?CtJ$U4 z=l@_|l%%~*n!xNJ1`-d~DnHTPLypP8T!(%(K=x-IzAizJk9!x!)`q2B>8nF?ko;B7D?t(V6UN!Tw*m3uXd=w22WU}W&Y`77W4YKcFOESZHkLz&+=*8K51R5h_X9n0M~R#ti>9jX^2*yfzf4ul zS@2i*Vx{dB?v2p(1+=Ql6+5>HJZO>iAQNUGbi~8^8hA;-6TbMNSLl|xMd0;C+lQ!=8R^H9*Sywh?z<*IO_H})i*nl4sGm%)8$j%e*%DDyN zQP_(O#3s_=@ksi$=EM4Z9+ke%gDrLu_1>o5naD|lE+->(Ik|^^T?2mwjt>~sjPDKL zmWAxrl#d7qY_t6a`b^;d()T;$Z^SxJh8CG7YdL}sa&inVzf%lcp*xed>XDf?_CUH+ zX4QwtitK%qIE~1OInIt$%xH$c`Z#NV&I^GX#+MDUJ}kOMZaizp*&$x(+cC)=%Z5~)gR{+hX2*5pim4B7;yoQ*uPTJ8%`RkP?9@o~i`GskD7O4jjXyf3$hr^s*p zu)ijcn8T!3+4C)MWnPrEeHmXx>~n~o!WiX##X{!Ba?Yk6UZiQuIU9)XE~oB}) zLsuVSyy0WFxWifSE?wuHj631)(VFDuT;Oaj94dQ?wtG6HO?}^3B!zVJ_jY~VS!D+b z4gEcw^qn$3+4KA;GAv{BUjAg?_C)wB{cvs3$iR`!*@3O}yVTDy>WU1kWu0*?F(cxd zV6Bb_lH#~PahE@HH zd9Md&EjwU0*2)FHe^6%UE$lBR?a1np0l`&h5FN1jha%JRy9%uP({2&%`j}HhUJEOw z9ntwJvfFG2nb?U=*Xb5`2amy%y*}pn-;A#QK5!qkz!eJO{em>`i{ADJxhhX!lzyM_08i`QcUDmIN0{TrhLpNY0&d&aPGZI-C3{ zYeof#3%w%Z`C1>b8apScCO;Jj!x<08yBP{;Xa#!sO;7B^)~TnH@hGJFPp z6G~)W=8`W-_h{~bj2SsIAbR8oPhv}-ji)?)&)Gw@-MfrCP5kb_>Ln_2c6@r+9oT$} ziku#wt~`Nf7ph23e7fcd9K2CQM#iTHJpp@#iVP$DUD{v0MDDrb4E^=MfS18r*dv4v z3oq0nL7p8qvQEjfqGwXGLi&`41`;UB;A@(@!4T(L~asQe8w*kj~y8ITj&e!!u47;Uc^*Q>w(_m;7 z*(gi)&$*O$!Ox}C6iE|%bv9{VG9E}<{0chf7xcw_{2ihGoA#VQW^PVEen)$w-9EE@ zvs%o(#&r@Osb*dr_*Y$R|^Z8@+j>PVTXA-|ZqR$o2=`p(Kn!&H-_+!5xW%WT? znS%~7R~bGCV?Cqg&vLHmFEjOhWS?YZ}owcHA6N2&C6y{O4zTYlu-Tox@9bwnl*!QN! z`R9~z-{0-D+Xno(=!htH`wc{|G}YB~3hsiN@aR(Ti*h#~XV6M);3erE|C#(=DEAB` zs8$c~Jqq~LC)QOm`AmKf+|6%@!4Cy~V#C>h8?OTz0h2Cpwe-%FaGG`ErV2)vWDAZgh~ z+5jUhOxiHgM7|X7`7*bod!>yIoiDL=WDYU+Cdk=1nZv!57uzezfO!wHYhCx3JU?Z= zNsGyW^dWSACVS`2avrbPuC`Pew^BYx`7bQx4^m$C3=~kVa2|e(vZuP)<0O2P@?pyV z-6%f`_}218lrOB5I*wGc-rG`7mlbS};K0DEXUA}>w$z;woDgVA^Nrn-qUmQ-t@Zy% zeTANRfhYQKeRqBAz7(}$<-Up!W<*4%+)g~QbD_8EQ~bnJh)*f}FrpbHXCTXB|H&O) zG9DtFJrsQ}e#0%5-p)@K@_UxctGYg5Eh@;ln?`$TRR?FHzN)M03g-ZWv^-!`*H(3Y zT6acQ+wz5756jvYak)l&|0>2?$(MBtyZn^ZNIRXfH`gwtY+l!f<&|BPl$EnUjrNo( zH*3OQ)KzwAl=ZW>X$)m=s;#8#>0Rfsu6;UX*~>-Q#HuiLKC7GGr6?=Et;Rm$y$fpR zQ+AC0yV$0E@qTT6*9XLGG~#TH_UtMJ+`rf12jJfZSr^7v+B>hdo_bTe?x?NpdYH0) ze5yu!W>pZl@72|I`6=6hzQ7*Zdt+@aWheKvvAcFzSEbZJ7d6_4RVmszShuW8lRD@R ziKExmE~C!Gt^(r5ryKDjxqCNAI~{d3y07g_i2r#AoUlmX3+_MuhM?ken`ZMnsixr8!5 zpvxv?w-Y;!N%i#SXF;~EBr0qGpqXJ(_)A4 zo?Ue*YvbF{@A;0zsyyx@;`}r3DOC$Ok9Mj4-oL7aJ)E3}Cq1?5L+;Vo!T7cMX~^uH zBj}+|@$Yz( zZ#amPXSB4FF7vDO#{$kri7t~EnN5YKjmSVh4(@JraxR5X(&pXtvF|) zh;8Bz=Iy{Hc~_6GV7JkC!nXsdO5ZCZ@y^BIEj*O{w%7A6`Pb^tjFzi;=Ks5G@ma{> z^_;zak#?nDAHgr!MSJeIiT4uE8_0NXKqu}a&5K>&3Fij3o(0@~YJ#NeX&t$NM$-J; zlMsfM8nGepDZJPW7Z|iKR>un+RvLshp`(zP?ew>ob-rxiur3}4#-p?^a0TWV114)x z6At1hdTFzabm8lG`0BO6SJIX6w0vObR^T4IF~)zt!T&tU1rs|bK0Sc30w0O@Vr!(g zRH)IqT)}^xk8b$%IQ4}m(oY_6od~UB0}Tr{UVDv^=coSYU|~dQIoNqa^R8!}y^p+L z96$J7Wxa2M+(jlnmEdhpS+#GjHX(3`Gi2rBzk|13_+*#8B9rE3A z%WHWW!hOxVvHF@TWIfqm2FUcL+!->!AOt%Hv?Dm)1{<&hG#Ja?PL`UoQl}YSH z(tMl&*7xi{``W)~b(|Z(uF~!FygHL7=mcr=cy%Rqvx^v%;PL4HN86u(M_HYH{P;67 z*;pbVJHc5JR6uF9vPIBL5(Kq?iqr+InMqgz5fpI&0+~s`r3Ne`C~DA50*FaL?JKmT zN(pGus=O~nU#e9h2rg};qOB!^3G@4WpP45N2<`j-U%%g6*Idtj&VBCf+~+>`xevBd z?;d6z>q%xC;9J>TC++n&O?$l-yL<<0JK(p$Q{#1XMn}}nvxN@E@81!>Kc0T2c8M)y zv&Y`Qh5O;}qrF3Q~c8~9xn6R`i)nmclkVZmPI zDs>hay(=q-&A+#g(Xg_3*w)+bwava`ps}rh`NiMCA6qW7g*Io&-=Vojb1Xf0NF0uL z>BnmGfdd>1?!gw^x__fBW;z@teYeE4fkdO%kO4*w+Y6rGp-%717GA6aJjboHG}$a z%;vw7Hh93LV9#1%47!}T%aK!UvkMIN10X-t63Vdp*yxhW+UGY+A7flLb|A+d$uV~0 z7Z)P~=oj~w$&p}u&tmndudKD3`?&W3Uh?gnEBjJ*<;T4HOwo@+FXp7oZlrH42X4ta z>>Ub|TfwSZ$DQqcXZL#Hwvo8SwalHI>^r;HA05TMn#z%g&Qt&CW9<4qbyT767dYrY zzox&0KcycZ7T%1m-`J2jKVxa#yFXU{X2aIoJ?wR}x^jUrDH<`!o^}piS4%1z>xjypd zMf-favmSKmv!HE$6}H*;l~ zzLME>NXn`*@cX-N8P)nEGWEukagljti{9HD=OfXx$U88u zlX}#Pf0h={Gv{Z2LYcB>oE$B>Zla9nx!?l+5X}EY-Z=_RKiU&S}XT_i5*Wm(fK5-L$Zy@4$UdRGfh0pTeP<7 zL;SAalLMf39P`|~TMjJll2I+{k7lzzE(m{U%qje?LYFBAsdA{OJqF{+$7z%4zrgo> z@G4_yhVZ+XIqz}ahdwbuXzV{$^RzMV!~gdrd@8*44ZsA<+_K*!FxPPpjMnhX9n-l&_{|!AvAJN2%+z%0-QAZ=+n>3&wq|YHQiP5IE zXf3YVQbf)e`<!jtRaoJ*N?5LcH9u>SznhJpGmG- zz*{gIydmGF&TG0bbSL*3x#weUK|1QMtlwv?gsGqGr|755D(N$WIdazro>s_59XF>#Bx`2EgGf$!_s@FANEuYs4@4;9RCU?Fl7Aw+ttuc8weUV`DU6ar^AQR%P)q?G6V8c%!o^XDg*LF0k%()JIqj)^U z;W>$~ixN}VExIV(FZ)JeM`|N>)>hla&Gz#+4C8u&+<>5j8%W2 z56QsS9)vE1fki8&vxHCOfLxERV%@{4T4Eo>Z}Ri4UwL(%^wipX@=a29xH!|)VY}gV z*$?FlOXL1)@=iXSR`(3NqTIJCe+y-a-s{j=L+}-X*F9_VWBMr*JEPoStXEvra@{TN z)*SQ_WADkt;qOtOBA>T^KXY)s(0RbK1GuH{+~~3Q*jLh|Blz4DFW1xq;clT{LIcg~ z1~OXgW!1#a0Sn!Z--}m!1frhwf8ms6Z)FUSYP9yuUU(HIDQ))COljH_{Gqw zwo=c$4UM@c`Dqz;*X9kuhCeU{Sw)P)I_5N|{#1VMBy*jKfj(}!7Jm$DS_+6yDMz1W zF#i(M0o2o#xE1us8rs%wYoME^0;k#|Jf{CBfp=(!cqa{bng+$>L-JGt55yM~ zI@VQrX-5uv2*1uSjf32@J-op%bRcj%T2vBgEoowKKg+Hjd7W39MCRPe@%RD$y~zogNe^KTi<84 zfBzxRt$xoPwAHEK^U?3Q;T83F~+Wb&_?K14j(slJju7|#Q*A^p501+_7QXJAM<<%#|mWC)T7de;GqDW zyeW*`0pEDgooe3#$~VH%VQQ~*oZvFsiZ4a&(f+ONuv&CWXiF*2&xoscW8cq$dQiz!SIgoS50UK5W^Gkzd92 z`p9V#w>S0#!HdUxZm4n~eOZr|5si1Zn zI))FE{)sqwE7qnf<83+xU$4cUjo?{3{n*$18R`z=!%WmenY7L5j4UE|Vf2MNVL!Z0 zE9p<@^R-S}GOV@QiT&#nz~7E`hC_d8`$eT zEZjF{hH7YgA}(&=TJ03wy8(~%<#K$tuD8ewnF9ZX%lkFHnBFjk`b>TYe=Fi;h?Xgw zx6{sdp@}2rpiH~NBmPB>Y}g*sMb>+=Z#<0`hTOt;FJq_&JIlwr$2!Dxw)nn=K18rw z435Q9R^5N2|2_$Sf}VLJ#!KrgIDu{ODQ(RR^*ZhPX08+a4Arv_7{afnnROpQM$G;a z9k4uT+AMnnyBl~t!Sv9E3xOX#+KD}+we)Vm{p!^Xp0ungcaxFb-q)7JaO; zZlf$ZOl!``={2`zaqPKhunAu1!(7!&`WUTw?CLIax;B2if(dI~sw|B8-id?>wPuT=&*OZ9n-uAvor{vFSsOmBGGdR`H$ z<4WoX&yUsd#pz|cyM@a6Huw*|eJs7UX!taICfrI8ArqXF6H7^^Eqa>S3d2J+z+?0oP?Zsk z!L$6%lkltu9s=6h;c)|x*7r4{mxRwDCE$^E8H^1b*e99jBo8{tNLyQ#lVl&MagWA@ z*Fi6XSgQ3aQ|s1ZzlkQ-(ayElY3o;xt22E8%$X%I{tXuoZK*|u8yUN)j`U*c09LaO zjXxQCGB+Ntqhos=!{a<*%8V~P^p^{;yAGkFkQwP~Q(lbBsvP7+@}RzM960o!A3WE> zrD!bsXA@Qy`Cw@_874z!#_(1!Wb-hhv1kDGUL;rk%5 zHG1xuU(}*^_1@JZnAwm2to4+hPQRFByih*L|H0aOd`9>lGrkB|W3lS?y8E8Yjnp_g z3_3Dewl`+RIf&s3HLgUZ~_GoRusq5lzlwN_lE4?HS1k^B}d>A=o92iEbNgx`Yc zC4JAkdPd){w{~2xLEqFR+_&N)+d;>wiob~$6r z9Lih{-F@KIs@LR&cs=cP1BX>-_J62zu=6bt-P*B<^ByYpTcE8^Voz z`H-#encw&xxzaxF!k2Qn`o10;3F6x;s-B>I73QuD7!B~Ji8slW=0$w0?Y-ZO)$Uc& zJ^W-p&EHtLM)nLlHMhvSTr?7A;4Re>m+3ZX4tCHJbHe-?ZnJ0K6%LoZRtz)p6H0xRaE#;5pzV0x6=hL;?t!M)AoGu>5Yzj4@&7gUBz40Fy`bLx$;wZ}Jv zM;Vbu;s|RTT?QR`d~C!{U19bru&o{&>9nX*hR>CUzI0T27WJs|yme9KYt&aeiawk9 z8sV&n=fCFOo#3`Q+4v@WNvs`O4-p0~`7t{TXM6?RUK94d^*{GEj?VM4CsAkbCgV=; zrq@dS=WHwWPptT2>YSP{isrZuFPc;K#o{>?{TI#g_g_56#j(t_cur(6F3Fn4J~j)S*JmwoK3L*z zo$}HG=M;_y;A6#IW;w_ofL_6`*zJKN@3x0Z3R`dCe{5%_bC3H0*7`r-?3(p}^P!T= z);=#i;Jk&SzOBS2yD!bV&7dt0Q`b%WxA4tT_kGSU*4*cOIrDz!!_>3yx%-?qaTMPn zTcHy8D`4~}S;n3N!kKpnF-zTyZ+zgcI^FojPq_gbwB#s05X}o0FMjVJH2)PmA$@lz zIR6#+745>@6YnU--NN}FDN{JtSa2uw&%80Sa^&qhHVW20CH`|-X89-f@m7y6z+ak6 z-+v&*`)yc$S9r%z+yHpAfluLL7dqmC63=TcVxb=erV8-oVedf$eBDIs`M$hD=kO$B zo1QOYPU>f@E#JbuVQI#;qSeeR!Y75~m=MqW1h~bU;(ZVGi2rj~LwhmhO74UswdJcX zqLanD;^}37jZXeMwt!3gjeNM_QOS?wh;_WCp1U8pwZ7fWTKu!gkcawDm!baLOOzpf zFFgD^`C;9tWa)-5dyz<%EIAS_4n7%^Bge|I5y?^(@>7KTSn^bY9Qkdw%D)c%p)Bp^ zo+V30R!o+5C&<#Efvg3Cu0j69qt#nF_QtqOWz6?(y4364bk9QnIrA3!C;t5N(m8?8 z%jR78`8{)bd_Hf^V%I%$4!GvcxzNeAbKacu7L{+j@cNT7B|bP^o(7Z@zP1G3zMcQl z#!Tnk?y1hAHB+4{vdD7N0{zTrNip*Jk zzuvK)jnlKWXMX18ncfRu7AspaK8kw=u*q(T<$j3mCnR|u@&WqV>JOMp7XNB2W%2J& z_}7DO>JINd4&SbVf6v`_&%}H8-8-?z)#6WEGx__>^&_UP`d{YW&`&n>)TQueHG6tp zitdeGG}l>O;!$p%lI8D5CugFove50)Rd>LP&z2Om?x#=Kc2Sx0*^(^ty`M5ibUS>f z`m40}7|%;DA`ctou%^DZ@I8~G+Ohn@=wzQ!=v3^Vo7}tolG4~`r+@tp@&}aP=&4K& zHk$jgt#4g8CplO>8r^2@gV4xc_Trab@1+h`Jn+-VQZ~8qo0xV|A>cjvM%2vhQfw3hLRPKo9kG zpmpjm!h6{KntG zgK=H^iTnfc^UJ`W&h?%8NY*d5KikMT#+Q?r+f$AJ#W$W$KcCD0AIxQHoGu%=X~oz`(W}}jhPh62zlc{ft}9`jgQWR{iUN#gkC~ zFQ|76*Mg&%`W-x&#u{VMF9V0pq9TqHS$`;n$cy?EV&|Z zd1@puF*UM%k+Es}qU241MYg(a70-^|Ua@R+pd!5?2fP3WbEmA`B^SdSu6^V+2(xDB zJ!qpbVn66O@6(~}Yo|rO@PD(eXyN58toI8U_{a*fu;bCk=YDL)LBH&NEhXY*P2BK* z#`cjg<2o681i_!n+oeHy(Ueoc%{y09r*bKXf9a3g*J`zu?lt`qufW^i!n6M{=i3xV z9(%`nezxy4236c&*Y8fk@Gj%UD(bco=QjgDa5|g_|is9 z>hsKPPcKM~czLgO1LH|}FU%f89rRv-d`P^<`r5V3gBKOW-&-4d&)}W=vHP_~QSa0; z_AH!{8hI~ajD745L7kcL|@;vg~cVq0C>HGfmJ5PVNOKN0W{GRHP z%{8riYGf<-);-MFC?_@YJpSKmbo6X=dpWZHahUPxqSE&~Zv1?PthZIab&d2J?;LIB^fPus$NI`7PU`x;(M8!PJKD-p^Y3( zt|gAn!#-7-i;;fu;P2LctOoP*F2mX4GOF3n*@(D;<))n``^jDEIu|GK@V@X=4d3Gr zpOg)5C^M21wbjW6n62?4eVOJ;f1#MQ>)F4q%yAFsN)^3j)S zpVM1D+GBJKIlT{!c6uvEUumr1{{;VM_*ajSKAs4%5@ptS{=b|Td|)w_TreqF=J~^u*b-pU|;^u zk@BhM805RuI^=uKGwsm>9lhT+;ybi(L>sz{0cHoWcL(i`$}1b~tpkQKM%TB%Nc&4B zq!7Qyvt;&Wys|O1b-+@dyY1OI1N1z(&785w_$P2z8K zgp#`&-43z`&JXKIF1ZLg`iUC| z+-Qh?YGg;x1>f+?Y{rIR)(6;pM#xRO4d|YeWNYDB3HhM0^^HBN(T_=UD<&OE@rGRC z9amWLahQ3~K=8@YZ(kD2L2TXs?s#hC58P`yks1-dEC){6jE%CD{*`){?05(A>c^J1 z_<#GX-;H(^|8De@eAa0h{mgieeemHvY)4nuGUq;gg4<^eXaDWttxo{YcH%9!{Ntn^ zpFkbzOAPOI4MF0wYVsYSFtO-<;Mn?}cbob&Js)vzep?^xY2_gA{c>vCO{{U$SW)>p z3b2)?(?8YNZ^&ld(_r;c{%*#w@%Y+=heG}a`El~dfwJy(dq{OS*~52A*gL+0viq~A z@9#$huW)v4yyBU#G2VOcgoZ1Q8k=%jY@3?cBU@#-*6p}L$McHw+jMliu;U8BrMXS} zvIz|iV`S(&cWPTvuwt~cf2z4hnU{Qi1^5xmp`~EB-6J=3|qO`gBJ;Wlzu+E*-Z z7(IVltAkvh83R+>o+D3d{{g9O&Wlsq0&!iM#2!om=KXxoqL4Vk2ffLm6!c%P(H_d{ z@qCq?^=NsmfjRc1M@`>YIXoc!SkyIK-j30=i-gbC1gZu;p=k=r_~7gADqAH}xH) z-`4p~a?8?>ZZ4Wt*s`U<9`eu1Y{@P*24x2pugszk=*hc5>^A?b1uea}ue=SuS=lW% zo)xg>k~o?e-oTOfSakCNU|w5dhn%S`eUUM(^|-au0_TGNN^M)rI z&*a@ZW4x<43)W-oeG+{9nRRA8i8u4jy0691T0`R1{IiC&?5E84ppEYP$oKMR@WFg2 zc^>Zbj}@TDo}wJn zHjCR5wdk>x+zX?}4r$y++y0X-6dsf>HBlEUU+f|W$2!toJ*= zk!`!s7;2Wa?A>hl1;nOMpKzlw$u{1rVXk~TW0&oWTedT9+0MAdmW+IWe`Lw@vv4WVQpO-W1C+5nmpV({R z$*dnczrFr=Jp)x9@0#_i9(Sz%%*6ZTVsH=Oes5!Q|M-2ge#$oMXD&Er05k&MLy%3; zuLfB;$oQ!idSu#LMzEH+eGlOG=s$%=$(J3v2)`+mt8a8)@}=*fBl)(N=Ri-2kJ{)T z#VfA6QzNQFd0_Iu@mki~2I756cg7Op1;OQJ9f8}bqq7k?!uR^ddgi4beQWYdt@y=Z z=54A4|FTUFTJ;qpd(`JkLH>F65%&Wr@p~O(_x9;t$N0T-V)y=}d*{UOog2INuI`;1 zzjtNq-kZ92W&9ret~z$=-W~CK@Q3bg)4js@J!qzTTXk=GYD6?w+=le#4(5iDKXZ<` zdz|K0->0MEDs0A>I>nlVkx}=1(bf9ajJJUP{kc{dqVYUvt7rIpP22>jvx+)RI*gCQ zGARbj6M|(@{2uX|f^UWH-4wrfdF)=L?lJZ^VI~IJ2cKx|oM7IBEzpxbLhC-Y=aA-n z4R~Zro)P-jUf|N2F1`r>kJfbxo(C*=Zb^;MxE1t~d$-^d2(xC(%kvrUL|0QzD3BTR z12poE@!D7uzFR+tuAa(Y`n#HbRsM3tDOmoXMtI!9gUR3cIIl*=C41(5WKZ{J<0sA3 zefdN1yF3O=yV0%7IKIU(5&wz$6+gxb#ly&lVXm{q)?=T|!M?xvTK?PT+k(HUx96%Nesg56@BV9#_{wX9xC# zUylqpu`72q*+Sv5<09*^5mWij@EV~G;|En9LSN^@`zl-G&Z+2i&C$}w?X4gOxeuEx zlen$L9*PW*r-AonHWUwV@wv`66fw zsn7ZX7{btSyV0Sf5!mrr3_gs__z1CvZg|}B;j|X|e6wwvfKTnx9E92<`0d0;71G`X zv~fQ9O!C<$U_sgf=ScPqm`|<};g|f2rr)8xZ3%TMfB5M!RjD#7{Z2)}jdoDE+WYvBwHN7G=as~Gz3GXj>C^a&Yd-5H{ zY^NUe>+zvYdo(rj6YjSp+@JqgYGera6jx=vyN-1wQy))_T*!UXcNVYjfhSWVncP#J zP1Zk{@B84L(q~d5H<2qx{m?$M4ZZ67@ZOj0W%jCn0bgJ7*wo0m+&>xT(yM+EcueP> z;#|t%b@@scg3~na714*Dv>|)cYfV@oxGsd(YO5K0UmV+u$AbHQXmFf+(jO`-Tpet< zw>~xU9rs?Syqet3M*W7Wv31DkH;O?#Oun!&{QWPcM#yP({0+|6@n6b+Dls?O$FAC8 zd^3jgH+VjP`vW*n;(wUygFGjv&|r9f82g7zLXVoV>qqwOTqC=aw0C$`(p6gv;0pt| zr>5mD{FLvcbFW1<3dskk_k4w;vIj8M)_gpyd3e|0?}rahe>d?x!LkWk zW*y%ve$(P@9j*AmxP81weTQ`SF?ez%I1i{D#MwLuUuqAN?c!;!H=rbgZd<4r{a_>Z zb7`1;RnQ6bj8*IAyUtCs)l{t|@3myxaeY>0MUuC!pfCA%8Gm|_;S0Qy$`*ar=Eacg^wZB`y_gJHSKELnH<`xb}$}4h92LS=Lq$2)R<%J#*}O6cY2#K zQ3h~tfPcudXwHcS;djZn#_3DZi_r82#fer@<}z?qj=o)r&PijPz)bXhHMtwBvD2%& z8f^h|Y-bPO@!VxgYWC3Ha_qMp%9Gs?#J2NLp4P3}gTyB`G1r5iQDZnG4DN#Gwb+8r zmV)>^@I&NvJRn%`f&GE+mSCSO#ctVt2{>o1UnBfh2>cIsH7d(}#PP9bUX=AeMlkpI zm*;D296A6G6rFkbzVletZ6y-*Fb4@2XnU2T=xM_hB@)#&R0`-VW% zlI66knmG^g&JoVb!9@}HO@dFvuU4FJ5$lmMlXi||pOsEI(7Z-87j0;N1+)===ixif zPkMVKxah{3Q{L-YvYhvX_vPTd99#=$qGu3UW6W*(N^E><_c8Wz+e50yp7e*2tWWDC z-cmjKM!Go%zhsa(CRbzc*5GsG#NQWPUA-_h(urg6A=WQaPWfNPMtVT^;NOUG;N5Cs zEgw<6tyk93cEu~j{@@~bA|--OnL9-5*zKdu{hVy{mzVLZ<0am@^pUxB52o8Hy&iJn z@*l@}<&&mdHD@jvcl@s-s{6gpy0QWwv7;Dxw z$kwgnc6&;*_mU~czj;{CJ9LcNlbd~)+P7z;!LpzTo-`qgzM$DDCaArqZr{%{zhBdhT*0 zH@ku5b70$Lq;|wFOx?F0Kg{(~BL&!Pz<$f|&$wQ1B+)h-u-p=Vp3Jp_>zj`st)O@b))wf^A)^R=`zt*!RaTHr{AAi<+l}mNao73RpI<3GTi$t0 z-K+(~ey~?jkUg{P*i1R-*E-}sQNMeU-3yTW1K@c&$E2=fkGr|2qZj*3`ndqzn}hBx zi|gO*yz56s0ygryAtMFo-yHOBnRIYmUxiuUZRsd`0{7N5eJP@7Sm-mDx+4>fae*I6=@3VI) z?Xt1HuA04#D8E(Z(_XWD#X(p)e>rh5()ZH)QOX^^Cp!6;@#o7qns6>~w*>fC^WV<@ z0RJd|*TNXw$acx!uve9XgwPW~(@k%ZJ zfE4N+K)H?hHuK?utI)%F*s)WKr?wgcr#YYRGscyNZ$N8(?!>0A1-=wuO`@+8yle4W zXQo|HWpq9XGx(ca3(SJokrZr5O7k{&dpIf`z#WLgy#ct3`afT_$lUM8=X@9aE4W?2 z9i**!wA0J`F5W*vo7VEai6h$T;G6ltvkcsL`Nqk9I_L3S+ePH=W(~F4-Pp%x9(}Z5 zWj2FrgL512+PVJpqC%%P&2PTb9z)NZVY`j~{Dg)uIaL%BAwIHV-PeDD{hb#ZyRTtw zZU9@_$2i8v*!n45kLCK>*!3!1W0U&sk6o|OHTI~lEOxD239|QnFUGDP(KYs?@A=sE zQe8jKb$#qQsB3IcAN`E#oBe)t^?d%mirDphJ;#RkJrujXSJw}5{b=m^Ze2gh^<%MX zg?o)gSvd@F?t;q{Kx5~+!k3GG} zUgw^l8qqUr?SgF9|D~=i*sro>nP;lsyl`CP>kRT?A{(pl(Fa)*7N&1siw^i@3O1N{ z6TbChGXz=Rh~IJUACVCo`lJva4ePU-y}Cw67GfJ^VjBf!9b`VO#*8Usow#YI`mu%9 zGNls+rg5C5yR2NoMhD{V@J%VU#bB%-1|~x`4tRQ%`!!rQ zcEnd1zxNyYv4FAh93zrr7~do@{_sMhe=%VDduM!~ZTQ)Pn!E;n{3F^sO!*D8f7nHf z^4oN;Gr11nrxn^yEIpXt_6qp^5k3HoXRTNe?K>8J_@|~{Zu!sAC*)=pO}+mZi(O}b zNB%lvPx&)ljKb%<=!!6Pf8F;^XH%}v`8}~MzNd^~UgAS;B(6g`WD_xwKYL(YMEmQm zp{-hPB7cM4(Ylf~tbYLCC3li@>8AW~_|#&48EY@1M(m=ktRL2xQhM)6_RyHidKr}; zo;AEhWj{ab{+5UElY5KCMIPzYzcQ_JTBS2Rwik0F{g{{i%v{BbUi&i3?eyxp2wb&B zhqiFt#vV!;9lUKHvuBR>_bp}rso!6hBK=3c zU~J=V;;|xl$7sR_LVv1xHT56hd-6{7dO@+L#RFeL*Jd02=2P?)Z@le29$sloz9v@2 z4gF|W5q_F!*xD-VFl~L7{=jn(`KA1qvlcm@{h!6oDd^cXqZXSmNX{+ai|RW_eGgNg z>iizx%N_iGUwWJC4)$m?sNWo$A?K=pDSrQ@Z!z`-7q@WzF8QLIp4{2Ohw{AbN0+Cu zZ*v-Zz8zjpZXxy*I+|7N?6^DNY=B3*dS*G-1FxH07B@q)SAkjkXWc@3t|8B81o$mF z*3LlpL-Qu+I2JnQu=nTB;g#F?i>B8O3OHS~|9X$gpXIb{ASdmA3)mWISCrV?qwEjy zC~*cyvt~JGaSslPG~pk!A0l@gI8uE>N>AEQ`OqQ{T40-)dpSmt?c1{#tGvy3WS2VW z%OVTuj}8Q;xT3Q>tT@0nv^88O=3}QL}q{BaubMX2Cg_*v7Y! zN!2-l9A9qeBp4FuUlXUl_HERjad*Va6CY^KRcp-EmTP$Lop@R4=rpT6iSUcIg12>4 zsq+Nw5Zup|PH~+8ZVSe8%KSdx=Tyw3wYS9X(aJX-n{UZ~iM$o!S7@RAZ@n9|_uu_n z53+tY4_VTE@2|#1o@V}Y6|r9Q73My|E0Zq1xJrKIyqW&3+h_V;D?q1|KSHkMmn-n=*h)OK zTReL(-KgwFozd5Q?4Ng+xp&^X#Q&P*;V&J-9vV-PKV&s~0DRHU+YqIkhrQ^kRD8O$ z%{Bkt*Hq4lk}~K1ixxWn2Jh>Bw6x55EQS5;$_rc{z#H$97e#d64X;@`O8e4@zaIlv z+FNcAb5ykPClhG1xsRO58>}lOzT;YSOd9*z-3e||!ACRST?H=YfRi!cqXYQ(IvM+m zI+}ic`@*nv%>sPfHyK+7C3_?Ip*OpE-lfNdRVzO5Z53|5>ELasc62Mr1s6w)T1JF< zKa8)|lnKTPUEv+p5zVc;2f4|UF6h+k)j4q81>L$_|Km#6tftW?_(%U-HZeLY7DFDj z#bU^P#H#;;e$wpcgk$`>PX3b1D860sieS6u`{)+YX9zhqRre9_|8ruo1Mygw-=``z zzIVNFa&Qu{F7X)bXtZpODt4-hIgl2_JF0ndB`Vw3(mT%wGjNc4f@l+M>k7H z$d37>I^Z-0#`NM4+N&|ucJfikCb-^9d+n*sKF(EtSK2Hcb8GR@(Thrsj?O+%HfQwz zlule!^781e!j1hL)2G8c!_eD{r?-}sOmBUy(<0|{=+d&13tClY6df!*@hEb+pL4}m zOhWEnrjK|#;hx^vNY3V;@~i@V)D=4kT-|VqVMHnnqoFH&?&@Vk@=CFdSVQeCC6(*OI~XBl~$T4_+!LzO>~i=fbz3jVI~%C127FlCST{Z}`zLVqW{+h2Ea+oJoA#)#w(JC%}(^ z4@9!_0&*k0)5se57m%BdjBh&OH}f7E8_7K|Hj;mAtoFyN{1o|9u2!8-ppVh{#1ixj z*E*kpPizn{T78F(0qrp@{Ifo+l=au_)w4x)8T@AfuV9r96Wr2cf=#fe6Z<9{=040= z4VZ~xpZiC0OS$O_^2JLAeh985J4N78KGHkPad^|{1Mrc?;|A{q;y65AcGNFx59$Mf z+gv&H%}wYcAA8e{MGwiIFw3PaxwP}DUouaV)}zvcZK1wi{iNnXDwu2e#PDwWJ>_hr z&sHC@9o;27sjvPy_oLd2vvi_sdqV#&U#oPv4gH3n9l1{q5@+-BgYvhR zs6X02v*@+`=yusrvZ2iWTzx5a!>XAJTE5{gyid4{yyTWa&A#^#5(zqZDvxTN;EebHavAHa9ff1%IxD=cQ*6a8~*ne2#b zou+=W#yxv$!R>n9&jhb7-v0~VJ)7cf(_XP3V{;V*e$HOQi<}4IJ_=wq*FRVDj&xvk ziqY1M7$7fl>@Ks{30F5D%QgRs?a8D$+I{C5<{a(r*V)Go-jN+_$^-g6_xo{?Cet43 zF*v9AK6B5nWvnO3jgDh)w%B!Nu4ON8L7tVPem401?IH4bjiwL7_Vl*g0IDz zQ&3D+;y%3M{X---n3hT|i=l(fypQfLqQmYY7i&>>`ov_z+*`xJo_|f9|M*PN$cw7( zUh1t=AJe(>o@bVocde?n;X`Eo(cQt^I*lKZDdu~+)(6sz$ld5LH@*$wU+*m^PR{@r z9&AQG&wbKy$YB`!LowL7j2}#1?Ld4k?=H(UCU?2W7%Dg#!HfFe0~xbeGql)=PHJ<_ zjP*ILneNt3=)6Yu?ltqbp_i5%j}B9r;{UMZr*pDd_KA!+&aZj*zyb0x#&LWk;e20H zOc&Jg&fhvLbS@{iT>cE?0A2Luq8F-)jI_!CevdEFCB!~XmW+vRyRp@zCl11Yiu=9h z$LI*;J|8_H9nnZmu|yq_I8P$oP>z0mB|*PRCltWnmX6B(=%kJsm!PALp`&KAE?9LF ze;P6M6ner%JmgHB@`haT@sI?%_dFS!f9U)IbSTfHxtaW^Gz6Z_!B-pWD#lF@HhB9jkh;X6Rb1hM(M z!FxJ~&mtOohGu4K4yI&0v2aD$8Cf$g-1;VEN*_1viw+Zw?_?d|X72guw|#%Z-e5lZ z2fW*fJ`w))FeZ?0*$5xY7LecWE9@Ur#?QxwW1M8!i!ZQ`clc(bZS8GFWWzhGg@8uU z^I3Czn>X^pjrcll_O|)(LvDBnoey2z^kMH}zqorFLtTt#%8?D*$XU+V9*C)f)sL>} z9P2~XpNW61zS!hn+9H36>~Zn0AAj6-`AmRMJbM-Oi(kB4i)TgOWc<~MJS+O0jb~*; z2iWJ#i484XA6w^9GtojI*s!PBYP z$GPB%&itWmniKC|f3z_=G&-x;v_VhIERNfx16!5HEQ-y0@RR7|JJ1P#hmNcEqL1S| z;)wHz z-aWy7>(6qoaqx%d#>T;qo=YxHaw}=v_X0vTR*K1tsF!Tk^5_c7e>R-D};fBxzIq^};1n*O9YmNc$?0I+sDC;U^&e3{e#Rw63hIb z`r`<55!T)*s=q9btC&8F;j4gqWrAJ$Fadvx5o(|=>BrJvC+Npt6B~wpBnGl~wDK-z zS5Ls%5r4+x;NfgOo&o3<^_$ka!;7Mu#n%t=jm2{YYw7P~e!=)h)YL)7$L+a}O}sh5 zojD#n4Y$G@ySygQK>W-;+zD+F4X!x@4c}c5qoEBrqWOO3pLyq+2cui?TbX*rhio4N z2W_RB&9#W~A2W|&uF14wA>=Rp3Log-@p;xbI@ZaDznHao_kBAylFq)_%EP|kU&P_r z8CN)ZR!XlJM&EaOHa_u;@A%kAKhC$?`!)XxT~t6E$ueYKYvz3aN{MX#2XoX9$@eWA zsD~M^a?b$#C4KQ9x7}zc=Dk|3UEa***C|u)=JCwe zk#Ru${Q};p(L0Ra*3z%|&WV>vEQIxrRo>);^74Bolt;{`_3lrt^1PnrEc_U>)!cWu zh;qHe$YnA%buMKcMpq+LgbpjbnwSE{8J2&>%$@6p2Y4=h<$-QKU{$Upa4;#G@>Q2` zA)Kg9KjL0vSN!DLgAGRGNOKHFockn=-ON9>n(uf@WD#u=9T+>zB`^PE!6RSv8shHd z%dVoVHOI={ySI?>3i0%-i0gkeFSqq-kI!k~ZxC+eNBzZ4Z)>2}xVFy4rLVa?3!S&Z z*CY9_+2M9duRWEQ-1>B0ht>rbjBCqgT>tdW-0qp=G`moGalbXKHzXI5vFIJ?X*e69a{|7(xrrL=yXJ=)pgaXYJbrnF8aABT-S z+TGZiy=c42{CY>G^Ev+7qkTX2!q>nP?I1b8wxy1yPP6$owKWZ!VLiJ2$9y-MF_+da zZYB1|c09UTxbaW_KD)tA-cjh*$9SsW0(j7dzhAt2g`@DfgZTTe#K$lGb>W}Kj)-hC z$LwX!^RS=8*cKWSyEq?2Y{^$6uAa?2c>8)%&Cg0F{XOTJ*=?oonsINMOFtNi)lbaX zV9CU-j=q(uJI7%(2eCPQ%!dc@m-tSw-rVTh?DlXESQ{C;ZL#-z#|2H-b@U!DC%1t5 ze6?vWM;4(?s^F-7=w0CBvAnd_kH zN3%+tOX>SQ$Z|V*@7%oitNRsQJ1$anJn-H$_|1;5MstmY%qIqlN42bHkB+s>t-3f@ zzOw?3g?WN0W@k;ENZbc=sq``3p! z)4^9t2aR)!7z<>zN(MD=A3)YLo@QP1VETzkmlG@O11{EHRk}v!&W&MaYw4`BpLR)P5qwdXyYtUljF88WUy^lPz2o5er56bJNN7&>8vZ0jz!T2PA_a zeP7CYOMR>Hr}hxHvv;@Vyfq#&kbmWgQ`?Q=(yi5$vmE=ph_-6p{6X}Ik1?Kn*QUKm zPAiQ^rg`J`CfBm>9%PR0!Aa+z62BB+{9uh8WSh$NT*r7RNDPzdkBX0%q&I{YgSJeA zW>cZl$M*i6R^!LsUOb|un*ZO4-PE4pnm^Xw<72R+yx6PN*wRK{{9-LU=Q|hklVjLt zdCbM^`$}0lhc7k<89V4aiM0{RnJ1iiRkkCk#GYdbu%21w9#YC48lPfukX3WIrj=!9_MCr3?Iy5GSKCN+tW={lGHkQtX5M%#Fx@7Q_xvzciX}J;+iHF=aKx zM~bJG{fW37bhlaZ*BpHR*?j-j1MU6BV&@q2@(1)Aj-Nd; z#YgVQ#itL?@&iuG3PL8I(Q+9&-ng!xqI zfh2g`4=(an*h6k?JMqKmm#ux~E>C#w$3B?Iy)~l(&Z{_zZ=QpO z^m%&&jDxK4Pc?pyjFl>INe`EDC1Js08~bG&!w zi|`BIX#QqJ~v73!Ij%>wi5iIlb6ma-1-A0Um&ryezvnHc{3g?p3Fk`(i@En20 zUTUS>e-^#C z2w!j`WtwFHTVKlBMp>eNnEp}a_jx_oZ!^C4-*A5|@~=2Q@)xemp?{xB9Mglvg)LWs zuc^c}>HI zW$1lm+I;^e;)Z(C#Qpg7%gO!P%c3dR3F-V>I&da>kzJ&G(H%rg*O<4KO_{Pn=R(oA(z1r)# z|7_o33+ub4l!Wg(U(o(t@!7s3Z==2o6VujSU)SO7-%a5=(IJNKle7@t)mG6U5&w;} zlfeB|A^1;x!~o=sxba{o-cHPv_L-W(k@%_Jw{TQl74Xy(T!+E60W4oqhWa7%nl>Hg zdbf2AZko7$m21`g3Fr0JGidZ7*H6cv?c@9r&e>aZ^)il3GOu3D5uLw!Eys}@S8*K9 zQRNNg_$!W<{*5}$Wq-q%%zQsDrS4VaB9^QbRUVpZ2Q%hokr4sm)^}Th_83jxo__?tgJ^ zYSp^nFZWKpW7D@|M!)mzfPR1d_RH45%Fh;!sXBbf_Fn_Kg}yz^`TEvtSFShG-dSp- zR&MB;{0?ii8kV+RwQ{NMrKMIL?qoDP4<3q{YnGj;H6B*`ikM^ll)d{{7dcpY6pGk; zenwMc_6EB#w21LZfPU1A&wf9)@eJN&uT|$EV%DWgVz86jh;N!wjkYg_dK*}4)_}8y z{07R)P3~siTOO}lw)_;vansJLqJt$6kOd1LFKpQ$5+e}gg^xU7<%{2hDj9_Dy9 z`bsyFFQA>iN3a;av$_U?C-FIrR2ikpjig}NKV(WzQ*+P%I%^h~E- z(Ovi;wlv~kzpxnode>h@8CUXrI`laJFVTOVMxXAK(-ZpifIj^zi=dAq#TfcDG?{)z zn)IsITH#&1t2{-b%`RxedcTGN)T6v)X3lhAxgcI|z@AdF=`@-&#c2YrH|NnNiyoT) zmA<~7Z%rDWLXRFLUopPd{O@n^<5={NzDT5p;1g`B_XvBbCh`KKm&uc$kNCmMzSLgo zR-K2OKdi5swa+E^giohsq$F81IjZ=2yf61z3 z&>WvI#u7b;Q-6Pxp5{K6_3~M)2NsK-tU*kmXRmt6?%O;c2R)y(_yUsCNzHRa4eZgS&t<^~ooc$J-& znLty~Lp1$}GR*hmG&M{a>t6CMG__<*HkBn~k&>(0Wz0=^DrdnN$_PNGUm>TO1OJFU zqNUrVgZ{7bm;P_`tK<+m{agL|&$xbl1={|9p|z@ zHl0d-F=!~gDt(!#TZdAQxzBoBw+@fjD_Wl}zsRkrQ=$18bt;~-v+C4k(CR_&z~AL-w3&m%8foc1RDU+>o5zs7CPqw{2U#{DM~@U2R}PT~7o z`A=Dr7Rt`*5R#ns!gsQz$Y$;#+#8u3iQFlUQ+sn9BUi&d#hekF`7SZtK766_QyLfJ zFQrdozGgBu?jApOM;>`{g4iInc4I+~>{Q}%e6ryf|4Zl5514js5AZdOa%{+?_Q{oB zd3Bi zq7I|&veRH{!mneN*~2XJWvjg(Q0BCU63X;;G|QZdPfG3HPPxw|lzoD^!4s69aa#Fd z=7CInvSuBa+skhh%#S6M-xw=jWuFdn%4uabGUscS$v7gh%wMTY{ABHT@OC;Y9=_q- zMA|fA^P6R2yC;_Uq{_s%*Is7h*~|R+v@#9!mRTlwp%Tk1SDE$i2?L;e1E@{O_DA z=1KRPIggDYde(o*`GWZU&p5v$e*P)vW8>!sIKM1@{xRo$IcNW`)dM-^aqPko`(bsM zMv$IiWa6ITWvK#p`X|!hzc8&7cD1PtZ zc)zoo`EzWVmv7@Q{djEWIib=+=Y)Rqx-Ik|HpL-go=@5nz3QJQ_suSBkk8o%Z9Tb$ zwjAmfQjQzO50PhpQFfx<7u;*Ojow?7!i_cy*-jz3M~cmq8Zq(7Mqo_sxx%@win zH8_lo$v0BAk21=!b;PTd-@!ot=sO?rA~obx%w&ux{9E5Wced})G3Iyp4OS)8g)JGu zAUtzjz^ZS8osG>?z?)SMIVmDb&+?61dFS~i%=kYWTv^``@EUpGEZ=w;kC@-28k_q- z59=G|MkBN0-^fNgRy4*OvkMop)!N5J`I+XpNHh`6tL>>JN0@h61J5(pbW}XO6q{E( zT@*aWq@Q?Lv^Bt=`nGP=^Wfm+dmR%V+gr2#!M*D@ZTvQW!=`U**02B8*S<2zRlXb``a<#Bsr<++f3T&;3!_g??t)H5%E|2#f|J)ZP}NCUvQgahd9jorYXZ% zB_E-9>l4n;M0XoDtCzCme-jVCcb4}&j33zlYjrj61)=jF&+=X_F-;fqp8N@6_(*v8 z{n_3Hmmc1|J6`7Iv%S|Go!p!E@PqX3$x-=~tg*RiADyOuG%iilLCnMa|D}U!fk!-J z>L7QQ|DSb`{DxX9slBx{e%(O-V2*Y05nDPaQU9#RZnAVlOh4dnWbXSR=^x^JmkuOm z3%g8y0PU?S{#pQxi8`p1>qH&&K>WG<7SA7!u3m@!QXSGk+Lu@Fs;*Yfr^ znco?4T{JpD7ik=+HlFc2e66aF7?U69qB&>#275-|pkIEVi~MK#rV(GHzCpkIKo_y0 z@fl%j(mpWy<_x-MT>Kl!vwQ%SUY1--7o9HKKh!;4&Zv97?f3t_?$P>~p~SdYx<~My zP5)qruX>yJrGK_@ekPjv(LZj=Yv4WUpI6TEUOD=w7w^^bp7ali+|O8E4f>}u?^W`i zrGK6~+q>u=#p}$Am$~X}@1cK=5m$2??|sKnI5&N zI|RV9*4p}rX<;m9=E9L~v&Z-GjpeA>IZ`=lc(*-A&BfR-in(b2o_R*|d*+eM@7WKN zyg2b3H{{9Td#xL&VLlCb=e~<=(i>aYY76(8o8n`y;K?}-v)#h`PvdQn@6Uo?Hl6{j zr_=aWXhuDz5C5ya#;VPn>zyXzvCOeVoEM&g*1gGV+Q%_GBzsqFnE)Ndr-k6-ApU6C zqIrzN^X_iU-pO3)Hp)|-$104_kMSkyxojQDk8rDfnFeeA5ZsvM6StLE{%rgiX8GXj zl=6d(*_rt4o^CJS9y$hotn$axhpWtL;%&yqV{(4*{fX!>!J>F5y>|p($p+dUyQg(E z#Og$%lQmxQ!6WObYhfHuwVc1extq3qNWIFRRscSZe2X1H8-yP}Fnhp-8(5k5O{mLW zvJo9}%JXP+s0I5K;6~-e;Ifx6_d2;eUe|tnIoiKcbuDKeRP-?G0{>=R;QeG>YJiO&=2dO~$kp6H`@Ro6|_^*%8jGdb?%$ec{?JsdCK75$unbW4Rj4 z`AYIe8ugYA7LU5IBh)8_nRCX@(R0&>vljg6J@J|N^E>w1RNrj!nNnT@6Pr4k`riVMLmUrvDsnEmdy1jSUp_ps@c`sY}=g>uiE8yiN#Mju- zX+dIbwBCFkbL&0%2Z%*kN8Y_4_G)nYxX4Ig`z?HhA92!4E~D+wWh1K0xJKfRzG7UR zMBMdM*4YghIMpdytZ)aMOVp3IR7DM!+f+&?LQy7r}CeXHp5v&?8Ik1ZgUl- zl{(kI}_VCmG8s+w@~gH z+SiM})@1Ly=Vz`hgBLshx8Hrvt(iXO&)8$LXM6kD9}eCQz#D?+rHk%zzQp+=&Yz;q zcQWQs+{!Cl&*$6m^zl7_=iGt!IX*ZGxVqvCL)*XC*+_Ytly_4=K6XU=slcy6xq z5_Co%zEzxr>QQ@sPkH-CEpYD1Ds*1Arpzgy`$M$#far@3sGyyqaUb4Q{#D^T585im z#=#z2%2_eSZVXeKr&HE?jt|3QBZz-`mE)Vxb{DiAMP8C)w@-2H8o0n&TEH=Fp>ul1 zbms@qIi-5K^C9AgrDv(v+$VP=ZT^Zj5U*px^K_oiDVUbw3zFZ?3s25Tj}r2 zH5K1!Uano|+px13a5XCC&bk z*XLB;-Ip$k<@I?No;#8~$4PA3-1Gs)MJnRCczu~hXjC8esep&xMMi3nVdZBG zQ|_^p%&J~SugZg&-U!A`56LWRqgo78j_s!X^wLG%woRkPoDv7wR=UfKXRo0i)wzlK zrE7111{JJz>6SLvS-={uLCis9QkDbVP=GxaW*+2{l(dOS)U$*&T%R(gUBa60)Z$M^ zf6;pPoC}L+pbc-yJ`5eK+VnQ`UNt%j90(5&c#TzRP(pystG_qM@auEFOQ5`~lBH zH}z%3wC5M(xmXH}iWR00xIuBa1JJh{;GhKL-CCpYnpVj&(_!)tv@E0#HrMLoThBG|l-BIyynyml$Mv*-205U*?hnjK{qMyS zXUvM_g33Ynduab3S-&v0cv|bUS<_m_cAD<|Lyw=krp-E^`5SmCd!bXjIGB2hMlJ*v zqfPbh#?GpRH*N4{ALQ#`M^BZ9{$)JK4x3ZF5M~XjV&TQJ0dwsu>(HRB z#x>Y`=DN}Avx>|d5>u&XD)p$|jf`hC&+aE?l=n98z+YEGjx0YhYir4ib&O}81l=tf zOq%a+ol9P+NuBO--Z1tK*W87%{8E~?A52~9cU;qfztJ$c5G{R6r-? z6;=PEJfj)toI>!a^8Mrr@xVu(c)o)IY(GEc2H~R~huPZ@K9U?NR^Kt3`KGikrQ5%vt0gD@BHm9h^^NPxzO2nz#Co$e84H}F=$!VXQ!hxf6V_$aL}FD!&fgdB31C)GH7-H z{u^?EG5Klmwll6b-C0KHNH1g6PUNc8!G06uGxBG7BL&zyf6Y2oulcx^eepUp&PQLk z&}TVuT^5M*<4$P#n*?3vLYL*B$JDoXrhj~c@#w}8V}W(t>{l;3X&YE^=WV5bG^1PA=EsOJGjp|w2emhncrS5pB=O&N<*FfXOip}n zO?@Z+YXs)uEiwKR?`?oY)74yf$++Whxbu&D`?EftoFm_(i&KDG`>`*< zmV6!DwhqG9M{d@{Wk>KAu)gI=t&u-a%DVZ*ggq~sW32@aAWQJ^Xkgv_BQHqp|{ok9ANj+XB^F9ok8_oPT6Ar4LuG(?;+^A9rEdbn#3%^nBT#?2+KdDvolfRnsr$Jwi!;gK3eT99-+h2?^1NkV!#{oz7AM&)(hYY#) z5@2dwJOc)3VgCrz!uEp~`JGJTTc(kR=HvUET5Ert|HgTM3IB7!cPHBx(D<5B<7wYV`K=>JM{>GVV{P) z>Ag=*sY4j~gZ7ljbl5r>e!qrwAdIW9X>LHfvF++AA;%E6|62EPJ@~97lF8(zsIwXX(QL!heTrUd4|15YdGTGMcp*o;NA*o z<=IloqGmU3pAvu2w0$|LS;xc{J49$YZoA+tW;Q?9UW5PY2E41q|M6 zE9egUWF6W@13y$d5so`=w;^8K?TWTHx2citeic6&{lSPg;x?ilhJOff|A_U%*d*)q zoM;!b9mc@1F#`C2H{3XnqJt*s>w6vl5`0EH#$c|>dKz>0C-7}7AFWObn8%*iwmpG+ zQ=WJaXTSkR?sdf74c~Uej=F^JjbiTK0)1C|(Y=OeKndex;AV^+bd7#79Q`2^ysoe7 zb^P=P*l&V1p`Ggh=tTS648&s|7Tf2NFOK=WvTCm_Zb!Hso$3L&3@?MrduSkI$5B@xU)_Z;@{Od4q^Y2X-~-b; z@HW0hO#F;?u>pV76((8G8)tf0w{5Myy0out6uRN>KkC@|64pvtR{Pp#1)UFp1{EgR zK|cEe=WNn&US=cUUI0JQR@DUFc^U1-`As_fIAbBc0W%)oeg)s-j2h<9u*(bnx8tl0 zc*KkAP~?Y)-^Olvi0uM=1^xYS&Hzlp=tVos3LgyGY0`6H z55RZgBG(<*LpY@-INW32jPlGh@UJ`J&Ic~MThYLcXPS7wBJB(Y+)NYPvw+Kd52O6d z0$;wDDZ5gAb-LA*=Oxu&S%$Ygz&qrhM?hbG6a1oV?Ec02TZgL0nHx)Z68NF6+T$r2-j9IZ zw9m7g_Z5A6q5K0T`tq*PM?hbu;hfb>OGAbL{_&Zh-%QnCG}LW0;E*SE(hvP*Ki=J- zmyWc=nK+UT@1j4sQGX-+GRiR5f$7}9+lc=h@owN}yp!LI@frKKVrVbJoN4Rp*rP$b z(ll*KIp*t4kX^NKHT0WC@*mpkeasJ^g^tHM#cQtomw@Y6nCtMI^5c+uJQr%mJ!FsL z?%glZj?dCY3f*o*6xMQ~!#xl9C;DSgAHrED#>L~C{Ec?4J)Y;=;XV#o{}t8&jWLaW z*3bMdX)4D_@+N;q|Ht}hOg!*T2Yq2{j!gsZzXmO{RU6f!U%vzzvJco{D@cP*OI(nr zowPG($ub1ZJMq63Qx5obfbYTjA>oU=w-j$vkK7EpRKO+*nBu;WL#d>tE&nCpQ7684 zzxFi0ucDd0TfZM`JxW#n4lMlhO9+z=!)@_G26%+S-Ps08f z@}Lgq{+w8^jnoe9(G?8lCmiml@2+m7-!H%eFQ9+B@I8q{v=ey)`C4n?Zz3%*jx~~& z;MG5%KJoCg?01_I*Zd0g{R4Qe19;4XzX^4G1b2OFxj8K!O?x7Qc2DT#7~hY%a0ayz z={BGqHmzw2=M>XX2I9E}(vI|Ae)q@MuZ@qhjhj>(|Cw#9VUrWcsXK1OI-(gAUP`VQ<0yQhUrK=!~oj#^`qQ zcxu#1(p>hP{i^T8vpvyw3>ec*FuJM>@uOaA;LADA7m$lzqI?JRrH#0YjJiGb_YM6z z>uSarKt0G!9s~cfogPM=W-1v~j{fm0@UP%o$SHpJR>wTME50>&#LU0sUFbG~H|B%3 z_bJ)b2s-A2ce9jiq7HU1=qSoV`JOIh)1QII2ChR3*>q6ICT;O>!7~QGl$+!d`{BKc zwuDQ$OP4r+A$8pq#<@DR}%JEK}8kd~z?w zX$|KMp=|DR%7olaQ*v3?JPR`+n=?`Fa~P8XK?9Bl8tBR}ln1%23Ayay`^Rwyn+>$#UV^)^ z-qHlQ0bI6y5GwCKtb=W^9Cm2-(SytI?GLU!VJvgjVZS=oT(jVQpzZhG&tC3%HZG_7 zxx=-d4RQBXZ#-PC^$_;u3s~ni@OTV()HzxvaV}zny}o|%#Is#(d%n;0*p+ z_``Jvf?6PdtJc@;DYl1gPVbGmBgS7tHqy1Btut_^$#LMpd`3DqzGEWli#UFhVL93+ z40CY}dTbNY>S%|?H6?9XfQfl{EBbCb#pp7Um$M=#-d2*fxPb?-$JOu`Qv&w=s4pQ$-f-aFxJH^K%BqL z?+e%;{KGWU1GuM*F*DLLVB2u4lge>ktB(wImqG5}&Lyp^K*Fv!kKb%RC+ZRi8b#x0 z&%HQ#1b(wBY`5H8I=J5pL$!W6@So4s?z%8`&D~1&Dif9=g{_~inp4}cr+?cV|19OLdCTnqO( z;7lANF?J2l``hG9w8Koe3CQyZVB$PTzgfup9=>s+;XS%Ez2!mNT>#wr5pU@13n?>) zL!Y(-M+aQu2%Zu+1~|39TvYh|KKH%JjS9aC;1{Ji1%B6{tZNl5LBIZ_<-21y3@(Rz z0Qki#{7A#$z|RKy&qN;5Fbnu4A}{u@OaM+6TB6++a;}X1y4W9VKhl1$hJNl4I@5mG z>nJZF=UN*(T+xk_wBwV|{&f+M%bXi%*zW8|`b%nI+HK>h~YiwuKN^d|%eUH3YJnV{ig+ z)=_pu^~`n+`{!(0X*h9(jY!$LNI(B{#G$M5Kj{Pg(w!Mj9DwiB z#6$L*=MR&1&3~vJO#bLD|2xR9@(O*K`8m(_&uh-l@opgY$4R}H`)US4_qD~W0xali z$G$>)rmqhh!uzFG5I*Rbj(ri3vEsf58{}$Mkao+6q!F7BV1LDi_4iaBv^zF)KJ2d0 zTF?)~o){tfLC4qa12$J-eeDbAE$R2WTP~nINvAZxF1HU9V;prF%0D^gNZM*br|%p- z0DbmL(AopJX2>H$4r%E3Zj5_aO~O8Ch*s1GqcH~>EeN8KqdjUGo_kvI#^2-pE^BLAyKf}ETqdPc>KXYH` z!7T|9jnIdZAjcdwtv#zLJ$!iC(zeXN%&O|-A#;s$|^Zlh+Ejr%MBJGQ)6Z5{Q@SlXRmJ2_Mh=A^la|-7*qicCv_J9+Id!|6YncHt{ASFod$1mvyR@Yd-{Jlv@JdHpMWu7?5qops zM&Vr>JNxp7=;s<}ZL}?2u8s2>ki6T{SQn4bdW&ylcW9wvjcQtM5!O_TaKGgburC3> zvi!FAyldLHpIuY@PIn zm!e+Jt#hAt!luN!%mYj#j_yvZ*QVn)129@HxFa}TEd$OwkPm!%%fKObhu;mlJfdrV zIS>BdfHK&p`MovLhjoqD0`uoV_ev~1)UX~nn(6tdqWgTT5wx#8F4jo6Po@>}fc^5a z!&U!je8BQPbu%$8X{VH3AO?1U`re0Two`7>Rx0-+I_vQbf>%G8+Kn?d)wDMjHgW6!_^$UUaj5zq9@&ve%S zcI}#_ZO`EM!J4Hl?5E$}gnOcf6oh}9JF$)5QV9ZW#vmWgZsSbbp!^`z`;$qDo%Te0 z8b1qrBK{!ee03=E6P62Fkan8sNrzr($WyIu;5N$ChkHpKQiJY|_+xM3ow{~9_73v> zb-qJK7Wz8gU*$XW@O0?Z)i{e$4!zl|2O4t*$dpTJu28R|EYfy|-F^IDm`kltWo`fs z-oU&Hy2bIY#QpFC>bD{e_F;AB{D6Au>zn<dUx-E_S3+lv?rk4I>O^Mf(IVX<)G zlbEM1F1IbZZEZxqAHf#T$URb+gBkprjWyMG9fLuy{`HxCrXTqm^nzG?BP*+i49~oG z`jN4qq0aSxq|N*p?rFz->mL|Lum|Wa9k8fFXDpb!`4Knnp7ETI>-eU*uo3rc!5$*U zM(lx#NpoB!WGU{9g{;FDfbgAl?oDCY{8m#A#_XZ!2O~fm12?+mYqHv&F3oDY6j>hr zG`>yxE$#-qXU&MVMuc&E;9ipsjK`O7cVXKr>%!9<4smDBrO0*Re?p(*nVUw;&HjY* zK2Kr}2b%OV>>t!S_#NtRu5*K?+-LrR=r6=+J8&XCTzBC+*ZMKP?8mgsPgn+j5QaJb z_eqlqSlsu*_Ve~X{VLJ_evLZ^IET|lO1ZAHaOgidAyX{xlI{^DaOa{uOe861-eT{y(|9Oo0 zO`+S;qVVk|^aJ+K$8QUWK6X`)=tDEL|T)jr<7Ix9pAGwwxQ z3S9V||1s!${MJAF;5YczEzb7VHvzA2fRB`M4$Qe-q7Q$KvE(cCVbY)d_(Obe{_ptK z{DIrF)*FBa$0F`o!#yi8!~2lGhSpCGb{|i-$G`qpySx2Y7&i_>FL)OE%RNX}j{Y|v zex{|~!97US8`{thbd0b2aF4@N*w<8x-#LVpm;XfED<#eXJ%)K0`VC;@&xLNvZ|dmS zcfY!acFRQg!w-vb@My%N(hWH(UFy3*$D}{7VP<<{me&5qTHJ*PT+*N4F}SY$>gY?6 z%fm0C{HB0`!CGm=BCHg(XP_-jFz zj(*rWgFUK{IemF1ryXY`YV)(&%5i5`1kOOP?bu$;A85ZFQ9J!e z`sEKk*D&uTe)?2*gdKSBd*qFnClQ}Rp))Qg^q+A#{YTKdLH{Z0&Z7&!g*frfqZ7g=689-1rF&zPtixK=VQ3!fP+G{kl%o!{udG2`R$J<_A9dN|SC_S@%g{X5 zr8Jy%Dlh+0L@n-B_0|dFwz*EMPt-4QHucQ+tJ5e`-P{SXZWBb+WAE8q{%!sN>y*ad27BG}N#Bl~UBT40T;)scQ!6`nF$P*PyOLL|yO3 zH@IaRrj_3oQC_|nb^ejB&ak-{b^bIuFFXeCM!m^tBZY4;J+=DZB~p5=Db})I05!yFrK5phGF> zP;8+?Br?k-U5*dbqFi(S!5!_aV#4<1=t?RqO&qk5omE#flzF6g|>O zkN4xs@Ee@>K6sw=cpvn5A3X7XT-WsYMcfO(D@_ad_`gCA$VoFj&JNHfu)j|QjVR+O z$47uqhVPtyq#2)ZQ%)NR4 z0_Whh-aYmKA5-SmA$>DsuBPr{XjFT^x!1TB`|Mvq9jajuJ{nml&dl(=5#wFmEAHdG zYvZ0j-xID4!&z~JO?y__Y>w2f4<8O44tC^Y2323>iwN9d zQ1HhN*fBl*lCeLx?l#%xb^21Y$SFItY_%n$u#VIAnc7BC`^b_K@# zj>p!9N8_FegWmjRQ5oFaM%dwGe|BH~8{Q9v zx>dh+UzT#teYxox*_X#bwy_SB>+H+pb7g;xEs*Yn71EtpBHc-)&rR)@{oK@M*g@t( z4ti+^I-UpLmg09iejVpm7JdVFDDIJ)ieCieTiPonkaw#f@9s`+gxrhAxiIp(1{~9H zuEPeIm+#Q}-4UTpOvkt#gEr%Nhx6d^Qv7bmuLEbRc-Q(++)FtXzlichkbS9;eYZmP z{V<{tGB6%Gkl1t2Hb%X8uO9KN!5wfv1}=MWj-}?C=Hv#rPs2?Ep2T7I2lo`7h`3yM zPsCHn!=U$wJ9^KT7q<5p^pgnK!0RyQB5k?9n)tnhH3Zm*PuJq^#3jJxcii)j{~?EkYYq79Oalhu?>@Y<J1WC(a2fRij1h2`;J0@z z&H-RtNCS<^L8DsIh`NtDH&E`txdG6=0sWfgh%!HvWls1+x)U!+chZ;Ao!m0B{mSKa zF(&zyH~c%sC-U_X*gC1J-fF^a;#q~uI|`R(=}x&Qaasc!3=uSdzM$&gNnbGGvJ7<} zZqgm7H&C9KbqC@St#J7i-~Kn~H2FnU_RG?}@sz}2EpQkraDaXW`djofQ`z+_+p4Q= zHOe*1IF{cN^LEnW=P3Vg(5;C>j^dFUn`X8@1^!^0tiz9GTJ&5~nSW=QR-JciS2{1t z{G%$m)sg`!5uaa2|L= zi0mKZL!}!VCfx~xq&sn_bSLS){&ODXmg09ienQT`9g4dNr{dSGoKd!I;u!?GvQFi& z1!2uOmGYGG?3}`#W3pM-7=&<+L%3HWhUapCcfZx3i`LDP4x6mkK2j&`BRPS}J`yVJ zcfZ9uZH|UL?>Bs>JredlKjpa?9eB{TG81rWF+VqKDLY_SA*}L&TKj9tcA0@R{fT>)6mxWbq|aEVmeb9G!hdS;cSQsqrFV9VV}_T;hF>XQs`&jPFXK)QTRRp&!XC~ z2A7t*RNT**mU~Ux3p&d4>oKRT#XO#8Xd{%( zh50y7xy-Z6%I2~j^VM3|CL(Y*G3_jN*tN~|(_lX@4#M6wl>X`1un=147-=Xr;H zsTHwYmdUbNZaB*2`OovOv?ucnuW|m9Wk;gy!LS<`Wrw5ea{SJBfM=l(mZN;O6=^`a zHiPb0hZcno3M~kCfDX<*?ju+CEDImhvot&%_&g`@(LUY?Hv#(dM$m+AQ-qd!BkW~E z@S|=?c}Dy+;I~)NaI^u(xfl-y_t7T0K_lw6d!Zvze>?}b5w?u; z(9_CsUbOBh%ny5O6UwiG9S>!u1CNa(I1k17SbQ&oWwTsEw@95nDR`ZIi?I3Q-13w6 zJ5qUxsRO2U1iPabN;f7yu*INK4P@%GL&I=Oh01bGu7_IiEW>OG=jdZ9hSKu z@5Bt%^TX3|=Nk2MjIF8BkgefZkK*2l4y+e-L}0H2WLX4wit^z_d{0WqQ+&sTd{hNm z5VrgCj@UuqV~+23v=z^l&`!d+{VvQy-p1VH8T>9|{;?Nf9dEQIa}M$o@Js~x8|Umh zF!%UY%{`hh_Ygb;9fNI%4J2aj!8Y6l{&^d7j%V<@3^`4n>cIDKezNwCh=_K|Y}|K> zc}F?ty_oZ|ZjV5(`#iu}H{x%uA9>?N$oVwXDIByJ20D-iqy^=0N5nnh!!U1s2Jo3S z2y69EE82u3%~8+$lt5sJUoLvO8x-YVpUNnhpO z3Ca$(G24}GP8r7brwob5nWGQ?+L1ae6#F|cmW2aOIey;0Z-NyASY|nJ4!l(dScWVx z%K_4Z=b1L0=e`xst9zjj)?!RN2iMzI&H5i;i#~J#dm7|gGtvv!gk=V4-Wtggo(W-)IB+m;JI=` zpDcr)d^#8~F%I`*Up3aAu?IB82A-s@QHi;KG4`!ewgyh@A0eD;Y)1Iq&-7@$h%oMt6Jf|- z@?4MB^9ZZOH_6gp=+Vmi@!q|vcJO(;^BZN&@PoHvny|-_YtKHNOs+d~59no4m#4ko z|EL1Z_${;zU*FuiA8T(O)I+nkOwzDEfx5rSbF~8??_AJJ>`vJCa>uuP2ppJR$G5=K zv46H0`?$*O1H?BMc(#^%h6SFem*<(Ag|7TI@kX6I&&l^U_>TH`UXbr7psE&i^887@ zzry!F;r)N*`%8TPU%bC6-~Yh(SMmOL`TjiL|Bm-h<$ELFKgIj!^8G2ke~$Na^8HD^ zpTqkF`TjWHFW~)s`TiK+-^cr9`Ti@uU&gzAwy4i9`ECysG^QT>;WOkBxi3Vmm&R-d zZH;~5T(hH2x*v3_1C5^qPfQ2Bn`}N>hxyU@rznHzt#l3(bS91OM?7J%t;mzyw|E=F zKzFX;dvJE1GKY5(QLl4CcHD?IJ(hWMEAON3i#8pfu0?CulNX8a9*%Hot@koN_B=Cf zG4|#SMf~m9Ba)F{+`>DJ)APskJ6WwAcI*wnnte^OJGuqy+BY8v?#lfo%*XW1cQ5GlE_62s z@Qnly+VDOc`xDCXU4{*i8^dvifn^`WcgOdGpN22KvEdfLJUEGR4|Kr2B9swzxNnbp zahb+QKN)FfnbYE2J=1;#9O!Dm$LL2~W2Rnh?1wSNcDgvXBF;wN`z840Y=9>&H*hZv!&ugE^=|C6jmCh%?HWf$w#4Uz&k4W#j*iTzM6+ z{pCudy}w1S{1Itt!QX5X<4h>&Z_Mo}E6wFsf@T|WM{YXgEc-{X-98U@TUL2q@6lS0 zzR?S`tN@K@pV@#th1i2F>YN5T^Gue#Gz<49iaq{)?WH3cpesKi>^AuJ>O-KN#6zCD zXSzsy8`v8UTW1UCLj2;fkMTN|rTB#R7w~)==p1wZ3Eb;==H}Lur3V@gm1Z}TV}G4? zYUAJ;un%ROsu&!Py=)wN$tO%t*N`==YZ%Jqex14^?f4mdTf45veVqM$7s{G~`yZZ! z>=}gpxEk)$d;nm4dtZ7=ds)4+Q@9(AF z^sk#+*W{PBV19!0AcLVkvG3XP-KanL+XI@!J)R=^An*E#d%Vx_yFg?1y(aYQ{wt)6 zxe;Os-GHtlkpnD%xTyb8$c8D`3KT(IQr}&^w~v_E3s$?(xez= zp9U{v*geO&rz!Hw^`|%DF4CFUOGw`61-kG~*?rjKREO{Mn)!f!;$!UFlKd&ZPsniq zYfW1Rp7wZBB@ z+CPtAPnL%LBm1C>+y}nBcb$FFL4FI#!?guheS1V>a>oPDBu~w)i~BKt)QzzhR?IPL zo$k+J_es6CB)nfb=$V6`hPo{c#C}WM5t@i!ttR(Zx^RDLR*2U3n%q$hv+%3M{@KmY zr!*bkV?w%_ObeUA!_f5~2OYn}{ea}J3BZZ`Hw1MU3_iOG{8I~^?ql>P+NqfCUHnKF zxluXoiGow zw9|}yYdg)%k8I#xG`7>@Xd8|L3hFo@ ze=cmVcC-iD_0c;)c#F6+t1YRIq1Ez+y_lL`TdZ~_ly37Z8z*Zgc!X zDf!EhpYhxbab`UVV{irdANynb-nVZ3Y0B@7%SJT>g4Z`dj_+Rs*{=lzPcIw6JEWoG zI`V@c(@Bf2^lRpS7P>}P`R3xgrTi8Hb#Tu44f##lP!8+?9p!zYkmsNw=L@aqL%0tH zV?>zP|3%qx-mX;@L)J1M?UkIz6$^UyuRn`8eCt%rA^O*!!Mk}*aSHFq|4)wZq$}qO z9e8&Rk@E}xk)g#7UYx}zQ70nEAc=c3QE4fd}&C}>DInhrUtf#&IupKOoO;OPp; znhw~oFn*H1UqyT2K8``y-;D1wr)UkCxF4I}oZqlk_8;IV_IDe&tvwBSi9C-$2P7RH zf$m2fV*rcgf8+?lKIvr*hf9|=I0bHj`7w}#27eq}bEqMGZFU3rVOth(%vhGy&?7&q zVL0%N)OrMGF2mT5@$)0#+=O3*4SV8&>s*{&NOJ@Uz95Z=5Ak>sIACwScMqzzHn-se zM_|nTa3yVUZo*Xl1<TAJKCuM=+n`ZdB0gDu>57O@pF(5%z)3@-Oh8vMzAZRm3B z?@u6}bHutkwc{S>Rdrd~@hSMeyeCYXKs|$UpZW#$xN4-^uI4#sG0)*WVVqMA`ocP& zOa)&4dLQ3!MulZ)|gl92M=M+EA*P- zr8hRjp-kE=n~*LO^CimIw8dKVk03KAAWlO#ZGN0LU4?MYn>JwHH0WOYHjkP&HDcaW z4_UzaM6jRX``-gludAWQKLK6HlV8?SXVT#hz>c|5=TVW8zO7CjxiqxdQiQj3ox{ixlnwh)ah~(HN@Y+BVu;LW)u+hGsp*E7JMi_o8_BQ+o%@=EQm?_a+g^YOzO`pvD+W`wC!>iHWGP-DLys>=5B8$DalL${pH26CfK$ z;&%bE67BWRix`teD!a>c$jit;Z3637hVnOjdo%0<9N}E`yN=% zYk*7n%lTEt=bh(Q_=u#KUwQu7d49Fukrcfh^dG3%=5ZZw81|NHuw@cw(JwL9Rsuf# zPomu4!Own0JHu<}f6!;7O$U5tw&&nG%3bt7Y0n{^1&HUIi)He@UDm^((`uB#`cFX` z)}3YVK^W%_4`bZszH4I-IrB9`&VP-$Jmm_{#vE9`9%uV{80Qj%>}-V$yt3sDb8yCY z6zcYwqi0N1ZcanC=GuHePD2R7ov7dJvxgg?*W8l1CbunZ-HZt8^hu~^k}YKO zNa!~ez;BbwbDT6Q$jfag$Q#vAlo!>ISazskHqJkB9OU_@4CHUd87f_y5z&nEQ|B=^ z{X5|FZ0neCZq4$xbGR$uEY?i(U<*3;d`9>Sz%QqCxhVVGnlWvSDEH5><^CG4=uwPr>B->wB7XC?GaBci$r;vz>nW(IfV41O2;%LzWGSQBN$V2 zL7&{RF%9XcE6;ejQCFj$T+_J+-_mY_{r|*GSZ9S@e%-QBZ5{YlJL}B3{wsjVzHH_X z<19aMO9WmCzz@33w$*EL+76*UEf*4S7ER7!UdML?cnT1<(savF@(fBVHGN%uBs~tj~M>SiAT7xt?#NA87IqHu=L% z{^2J7H70+I$$!1ce}lj;7n=MlP5!%0{xv55dXs;n$$!7e|B%W5Q9_ZYwTF@EpY`QB%yEE0rVG$&cO zsnex9Glix#O`ASL#osK$7u~W@L?or$EaDRvLmD%k0x(?xoUQ=jU8G0!Y^FoBa1pKE zQ-uq7QEH+9n03df>>uO3BxmLFs8QLY^{ml){%C#0Xgyc7^$HcAuiRYaUZ2HM zz%ND0Eta0uCGtH;&n{Y(S&*X(z?Nd;R$){|b{o_l_S&2kC3|APG*> z`4q3tE6K`@%8T|zi12&7$u#kvl~J6dkIKGLUzt;~YGt85s`w@&g@{+dW3L~JaQz;Z z5v1Q;l$Wh1Bqf2;DGO8e`HL3cnNzYLZ$-|+jFOz;BiMzLcOa1F1O6#_~)QrOX z|89A#@KQFKKGjTzE7Ujfu2p#j|E>CVQx5C-|DqhW->jmQ%U2a-bl-#qUtWp-u27Hf zgs)iVO5ioYm!dOT+v(1%EPV|AmM)kxQy-Hu9&IRkga|KKu8%3s%~+X}t&b@}j1h?x z`VV4seSSt(ZeC%IesfM?&Ps4`ww}0PdU9gw7%;a!D-XSMjGj=WCl{6IiP?E2ddv^> zpdfujUSU?js_Yy+Zh1yY?)ACT&_@uusxUieseap>-q@1 zvp7?loWkt9rKZF(bz0i@O#i)Ldr|R~>%+y@q0`c`bFvDGSL9?xWfv4+yeL{(5>3={ z3Lq`a`1|rOR@DG0goH4Oi0))WjJNlHhcBAqryHo9B*AyU@|AfdsO%4xe)nI2+Nn4H zSD<#)cfSMhm8wo8{k!V-0p~Z4`RIIQA5mdHG{z0;N765l^aXbjDwLtliG>cb_36)Kr3r&J7?=%Z@ri=w`S!0U8+#*{`2@X zsBEREohgs0CVJ;g6DEzFG-cxW8zxSg5<7Xy#EIjk+%O&@N$7rlfJ}Aw0fK0WD%Inr z>KMtRjjE|p-CI@QWP1;ut5#BMFD+UrG^86*j*#r%kv@;g4FAwnD|3pA35+l(*79kmgX|h%fPh2>k@oZ<24(&--Qd2Wp4?*IQ+`;q`D{pwpg48)F$=V$Y6RAdPcO=Z2 zHS1R3WmTuuJ7uy^cTMqPcrwMC-_1jUEK$NW%XS&A_YA_;D@_}&_&IUqN_3Ohu{Y>Z zB}GO0(wxg5I62q045J=mk`dMrG?oOVNjatQY5GQ5@XpO&>dU zf*!RpXKBvLoWd;3or-j!bs-n>WG+K;V*+mA8|%ZjaMkjhm3dh@uwRwqpKc1$LF@6# zBA@(_DGhkzBz=}=6qe~(P%SgEFo6So$mXmm*_f{EzM97F%6E24x{7^p$)J3nHD_^R z0>TyiabqFhIVGeF%PJ}?$;c}NW%R7FtOB6!t-4``F!GI^=)->%)HM(=1F4I1R^AQL z6lN?pDs0qak{-oSJ)>Y{PDXZ_j!fBlW|^K*h=Dj~rI(sU`pJ5flA+!#8EEc1N%@RI zlekrc_0=b;XoZmJg++QnQQ@6{UA$@qmCGEm4(rb67U^i{3gTIaKF#M=sm^P&@PQUS z)9;qg$|)293#X?FI?qa3IRDn9>006~x6WZhB&Q_H@LOfOB;G2TM_V{=g3On) z=mvTgB?|GN%~$q^**F!&Ct>=JggYx$B-7?gN1LfUKa|f7Pv4qMIbs|xieGdFPM|Wobp+ec=LP; zTH_tUI4Kd*Oo=UR77{aV!StIG7tOg{`1!v2x=cFSs>1xjqSa_P(eJa+4<$>uK?V#LiUW=GHy}M)Sk9mHY^W%@=>2T#g1nq; zgJF&I)MK)WRuzCbF}uRZU+5<{{NTrSPM=$ry)t8!>=wnV3QCGaiGKMeSn`qA_3xE$ zV&{BTx#m~SB&0V4Cv^vOK8OaYA3jM^j66pDC!5k!$M~-FQ!MxhdST`$1Yt=Y6e#E~ zQgtdWD!4mmrNYizo{%ek^v)=_GbeLp2E`|(7?&`*K(ZMfrKAjv3b87OnNIX2zjT@37*%9G^r`HeQXe0TBj0qH&wpUk=OnOD zqrT)HV<29!lA3c#nH<@Q_0P-ZdGcfl_#Yh?~4zNv#6>B%oX{>my^zJfYKR&LJnyy6mY+0s>oq8qXA z@GFR<5+V}@Ey%bND#@7f*;GWo_hYgn z-Eci-TpILHp*W9<&AxHe*c-BCZG?V0ZtV3jYILK1JZ>U~yxYM1EA?AeLDNFR&c|4* z&&VjqfYx&(RRgb`ed>2SMmci|^Msrrq#I>5Mvc4S`UyEIfhb{4;nISl)hb%=9G|kP z#FU_O{6fmS9N3k`V~L*yp-~{}VSw)fK2+VjB5ypXe*FZ4FyB$lsY;E7etd#4FQXb^2dW`Tfevc6z7Z)efgV@uiP1DeRm?yEld>NRQaFeOU`oU#>5w7yb z{Kt>PEXF9v>L%(7^yzxCo~UEOGzOMUeUZM{nnb~bCDzeQ(nfEf=Tl-o?k(^yioH zyff3?cI2P0&d*$cEd+cn#qay+H?H{LRJq%>A#&em42tcvo!SiE&SN zc;SoWTXwq#U9-q_@aGQqlAk^IRn)p4xySPvcF-;20Z+Qg@?C#ax`VzFu1!XY{{|jw z!+vw~yK5>`KAFG)C$zUIvB}$9=@f4hmv7$n=Hv6Gi5K_J+@gLV#qRb8zI^+Q4X5J` z*9ey&4E&(kq3ObdM2ec+nQ>#F*GFm33O zymwD7`C!@_ZFAdY(D{<0uMrM-dRm?RISE(OjCL_xqn;yX{5)iT%^z->{n&}!pTDtY znsgtUcH@?@7k*lnIBm?#p&wtEI5=Lm+wu69KioLC>E}n|q6NV(sqjC>i+a8MvU>k0 z{@h>r^lGa8at{7Jiy!)jyYLs{mhLC<7xnG029LY8X~SL5_xWUB5BJuEaT6ClGQyoW zKKyt4YF=%u=rgUQ`QA}YN5c+(b=~g++?&H!9vpZo(*2jjtA1Sam%qgS;N>@0JhK_tM}Nw0sCCS+iRF`DxFmhXCR`sW2Y>f zbANs9^cld4gFhR;Cj*S^mt@&QgLLW0iy6}be+V5Td;?+|`rD*q)z z7)dt?*?amzz0e+{w+UDePI-tIB_O;gqMiRF3Y?r~J&S5B{8k^+! zxRK2KbVo1JioZIQug;uF#gP{Jdd z3quI(Sop02?2r^$4$BpfGs?UT^uxa+>XXNAJ7N zAQ*|V^P1{Wg4rr#s-k5Nh}vEC?ojk9Lz9!8GsK|6Zx zan{IIfBiK9?47rr35eR!b9<0@uW{^gI!i(BAS7Tdk$_IH?4!P1L?PHY691W!ZZ&TJ0xFJ237TRlB26#I|D=` zx>B6ZYy*dz|WvVzz&xvai_D|u?u4p=msjkN$PtC z8fP4!R`sY16s#6>=Cs1mFBPkeIAZ4qA!OKs%D}1~+fkS-N1*YjOfTzefra#bX(uBs zL5Q|EeMUH@cddf$4+Pvlk?nt~Co=Gn{N3ypmEOB0aNp)Yqy8+o>cPOuhXO@?c03Tc zeN&)F?@HMa=t|xwU#jm5+qlNyWDD#%Sj zc8(+!E2)d9q%0Y;Zn`zv|?8vG<|aeGkS8 zI3dGMsle^`$L_crt@V~SAZ06Zg9@&GvE>(K)(kx35o>a<3Ii~cCc!Q&H` zq#zia&RcJaL>%;e;?pv^?sD#SupBY=Z9$gPXI^{#jk9mQB`PEeW-+2*@+Tz7P&nS9 zNB~9vAJ(r5{iAKIq}zY3eiZ=x->BbK!1)jANAi@Q&GdU@{XD3vcqCt0<^h5)I4>n% zxKixSB)FoV2Ba8G5$s&iRUp}~Q%W}i*~>+4`1ueYC*)A*dWp}b|9|jtqnJ+kEJ2_@ zKI;%x1$+X_B|ZzR{B0Re$ep|FyQSO_;|Ya6M;IzG#`LVSraBv`fJ~RH6Kajk5eL-u7T^)%Z-tFyyzvA3^}fAvJ1d9YRMVwKt6LzXYg@_e%Ia z{`)@gskL7j{t3WOb%CeuQ}jbyil-a-MA;$uTj=?$m{;?s;x5D&VWQNoCLI)o-9#lx zT)WEU?lzZ@tzpn-Y95gI3quoqy##W;IHYx+nneNfd^+XwC#;B+IsE4i0zes9qr)%|yd zi3Gd*?&>F$6IV)zGZ6j3H-jS2V0@qxkQ^{yBxggJ84ya5tx}b-GpxG*u711wvT!1V zvRESEJ_uc0U2+Gi^J_7IUy?68y zo}D4p!BTw-+TC+cU`-EaRQD{=fO>V!NV3=jIHOTc1unwk^QA(^qF0d)M!&Qh%}a$q z5JuPo-$9ZRz?r;5!pXMQtI4)^(7vmTdW9hIp58TRk`PyNu&~Kg4X7L_NU)>-_AqBD z5>)ry*-zAWcb{FMBBv`Q$oV0vs@kc$QIEosjYX0h!%4`nCR^pessY=>cJ$xbue$H9 z(A|BA0kM);5O|2uSaK@uEdT(s@k_!Eq~CMQUh}x!*#tbz?3wHXD-J0>W*{HgKc!t<^#?bC(W>MzwzQnHsQ@Nn$LNlJ zqtUK{eySXNgF!x$es#9JVf*?Ezv_6qLUv0lUuD0lzS~20^bxb_>Rvm0i^6Mq?vW-! z*W4biInvbNN^-g81qdLnWQS|Mv=dR`I@(Fv!8}Nm1Lg+Ik)EW0dD7#Pe{a5J=GBm4 zbv6T+oxQ7j5y3q{H9d(qFd!cD0*JzVCrd}EItqB>EIQ^K6f-X%NyQ`UCuI)k8GE&<}FQ#waiSx|abca$lMr4TkIxKWnQWyLa+;5<{OGu2vqr~%!tR#XXGk0{~$Q#eE1%V)^=Ey zmmqV24&*ee9Af7-^3}k<#Z=x=E5BLvPZn#bzpz17J7BLMD!Xm4*R4REeG{oV1Y5;h zC(GMzo3On#Bc+%^Nhz%uO13Y)H>C~2!FoOgNGBdiN6WmDS%sZ=0X$T+(F56+3XnfR z<DLneCn{WxbDio>er08a^^v6A;o2_Ew1N&>5#k*l1d1RA>2~g~ zau!0372m$m0)HdR!#COGBkR*_+dFjM5aBoUmVPyTg>bJNTy^#KK|8JzMx^QiI|quE z-Q9ne)LL9~`nYDR@o-)**WBI$h--eZD=9>JQ+m3RgPey^96H);5$0 z^>hWLyWEOQBsm{{`vu#XztCfnu0}eh<-@o*{EYYz2AZB&_?O_<_PESH(ugznJCX#= zA_)TK!jp<$6@DM8e5V-5M~JW9Zb47WxJ)1zmpyRQAWZ(ih+S!CI{5h*`1{v$9pYG* z*{Ytg20x2}dY_V}dCygXKD{R8}3+p18n!V09 ziUtb}`3=El-k1|eR)b&Q6OvAT>upD+F@NvRZTq&#@<6)bS z`$1mF0$XM4-E7;r#U|*y`$5~ThoraW0o$HU5~wTXew&={cBz|V&|(|;fkue5#VrBN zHvNypKMJx>Jd%EOJ*9rK)wU0~vZ+Fbc@+LXwN(LWGS1G2Y}Ftyd1Utkwp~Dq&9!5* zZ9A}LYu4On+XD%?AF>a@5~dVcUJLqW>n_4lqL$QdZw*+X+mGf7OGwN{~7MUM0dH z9!N)y?`CY9u|#1*>g@syvIB^OF3Uw0u@B%R@T|ZEOMC(i#+G#6DiQInj)n|dAtJ;o z9BUv}Mak%vL~hhw`m!&lpO z+MO>Vge#`x2(Lsp*^dRC5Kj<@XARTl?NW{E#DxdQT^(IDQN!3dLhKOAmXW_9JWrqSz2?CQ&NP1RS;eywg z*TjE@{1F@@A|>01-lMoL7FocX;32Wnt_X}S(^)8CC94bWGnJ=!*4p>G&SmCV(SSk7 z%obLiHCUhvv#zPt&D?Gdm$L*l9)KoC6@88YoOncHtKKKb&GiV@AM*n6Gg^28_ z`2PvuhCVIn9%`k#Mb9O=7-4icgvxmcgVege3Sl#0B0}CuKtFv^!M*5}hs3V8)s7+< z1ttwa7gtJeDK@UE93=Q&*iD#g$AIkvMTs?i_JlgAm0DFIt1KjY`Ruz_w4R_uqR<^Q zmhFWGKc5QxMnd+SZIpET#43l5UM(7a@6R3kw#gMUj91cbv~!E2db2}Rv2v@U>Sxls z{ilu{4@>W^ha9^fl*YV0n;bO{IGmrLu&%|Em_I&>vg4kYcq}1ue9U~oRziP~e9=w& z$>tM!2ldF=3SOwSUY30)1Sh!ZIzj79(L^csbS~e>~JM- z0r7~BSPWKeOfpzIq}r=u9*v+d1j+TpH{Zex61Ftapynj7@mvjbfRscL_y8-Q0)&7C zaFNv^7Os@dl8|hlCD2#(wc%H>kAcx1Vj`A8Td#C(h;i}e6{FdJKkOlVokK&holxm1GKqi@UlRKPEuF8Gi9 zBKDQ3ikRh+jySViO2Yfg_`Rdx4zl8F8D9lluKRh%*Ne!BQIlvZpeNwv7<2d?iKm-! zd?cP$J1FCXp;J(T22laI*LG?9*xhqikdqBr9lSHdSpdtUZv-bUkV76gvBK2thzPigl_>2%8%Q3linJJOiIErvIOu}xFo#A3Y_6Ez6$Y& zReXXGpwq*ZdwSp!d3m!r`n43uo6@y z7A;gAAn_k+)vv7jHXE4BhjMerH3n7?r*6w6mhTqEtWJ1 zL@46)xaRb7&F<|y0bIOBK&v|Km3yLrV2SbR`A4=7Zn? zt`xbMucp_Y-p*XKscTNKYqn~gc|BcogPdOi2sBb<>vVeX3YIWd#i^-srNgLHuuucI z^e9_+b_gNP4RX!vDQxOq0*V$ngc6l366>Yr)F)ApH?0 zb=Syt%S9^l)7|(}f<#2ES>>B-ogcwY%8_pGCfhz3!iX|v39=h)udwZaos57h@3&RK zQcC_h%JNOCwSfj(y65nPd6OZIGWlP-qQ`b{-mFXk1J=%hay3WReKe=GgL$Hf25xBe6Qi}44SYw+>Yo4z0abWMK~ z|EQ)|{NJZP`-<4lcD=;Ej;+c^^1tGBlf90nIT0sq%0d7rTOj!#c52uQMXM-dVJUjD zmFQp^4!l;9cV#9t8~lh9o|E_`0LPYb65kRlzFXy|8z?o^3Ci7y_3r?IYQ9I6Z%Hdch2XE8}g9)vlJPYx>stTjx5C3bxL=j|NB_^VcU zP&S*NLwJe9@9Z>*=R4MMu9Lp%Ra1rHIvF{!xk)n1Xauq}F z*ydUW^PELqEFZEV)LNW1lVndZu3SW#P+U65XS8+x+-aYo*cHi^;yy|4j1)$4wOxgU zQOzc&s6tKK@vKvtu1-dIcb=>OwP14;BUQH$L=BvvJ9%#1EQx=!6@RN;%1OMt+@D8l zk}w~+=DS=;Y7b5d44`tYX-}ZDign@%8v^m3jd@$3=u;mJwXth!6>U|3&N7mnt`vv! zEHDp}Lz93_Zu7$K3^mw!7``%DQu(1?AL`C#XX&Ou`lq!P*f ze&mIuBw5cxh!l@3r>ps_5CjrYkw_irQ6c1I86pD|IHFd7ayF@Qwy1D5j&|LzO_++3 zydBni>RQ@b{p!r_kHyZ>a9$gVe-}~iVO6e5 zRe(f(IFT$}1bN$m<#OLrv%)jVC`Y-ma34kdhbrESr^LguUyowO*bhazUqrr_RX!j7 z#K_8rf{%Qs6pTJ8H{lX_Ux-m1Ylx}ES?&@@qf4q>s%GNpg8x;yB(=4aq)s87%PmD3 zQ@K@mc0 z;us?)9tuJ8$x=ly{~(TOsE4w5LH5s1k$5dO%2h6@HWKlhRQ#DP;uDyEfy{rXi}-BB zzpUbybP->H_`q9aezu?aVflwxzKTC#j)b4^P9i>Pq0E2Eh!?gFYkQMCXdqI}%4cy1 z0X49FNhnk1y-SQ53B9RW!Ka2Ho-6hLD5Ow5dnmk|?{8K47s%Y+|BSCd{EI67MQ@Ds zF#ZtYS1gkCJLwlsdY?pmSgMTo@jF|-oBf^zh~n91CJ|~VYYDZ1@6bN!kU(5)Q@l-) z;ul0}n$BeNl{Q-jjfNlK81(vU_=kt}pyBMO!n2Nnre_QMTM$3?R#^}3KoyUqbEoma zYNw1vQs{lh;7COexLOt`M7vtULj1KqQEwbY70;LWKNJ;cR`~dhzn$xLUP zm!c?5);^M2O0Tww0c|7_V_qc1_je_Beg|YCB%ppja73MLl>|2o`|{I&DBGa`@8S{E z>9RkOd93|O7RlkF+w~M?B2TPP7R|4 zcTD+DiNf)(oASkYMS&m`)oOS;bv90R82xs%I<`iKh!baUufpeJC6+o_wjG z{-g45g5Ufw{t&`q?~v`{?dK{{4cwE6-?Bu;`}Qf3D|>g^m*V{liYwX9=_FH$y?^Wz zV$%wV;QeZfE6M4a?+_DJ(4%`}I>Dej83$MYdd@giK%(*SpJ&G*jCH%D@Me37rwh7? zW|4ZImu_U@CHRH?Sl0VRncHYzi~JM$&F7y*8IZ?y$mF+ggY9<=zX}D{kMDen7Uo4! zB0Hsstji~+e1jNhdKkz4nrEuMAVpX@v|g+_a0aDo&?+@8g4Y=>LRb)kJo*?3AP0;pna!YE&YjXw*^eh zr~7ti6Lf0#O)CFMk(v3~yL!uZS9D~E7>CK*6n$b4RDIiOwFpi?61KaRCh=N9KOYHK zt^=Fkn$Bg2W78PB#o$SvZo@B1!SUyVLx>xS7SmOHdLIPvk>yy|BUzqY+7r}K>w65f zoURm|SRAorX~r2y^ZKBZtcMQl+sbRKhlvwFSX%-Y3k;O`=sVl*>~cw`5|k*O?%R*u z)Z2c1;crl(%zsH_#y?qqDc8+(wwymcfrOppGF#WHI>q9JsSYdnZurF`;amFeSVS0e zprP=8iQiF`&%fQ+f4Tf%z%3iZIe@ z(A~2AUS=Xbk`5NR8-if3x+$%g&MJhVYQ|nUk&8S>TuSiUqTu@GakoyJ8m^yx@p?AH{ZqasGTUAqFD8nT0K zB%c^TSu(dyIpNC9Qg|WHu#b5~3*JeqBxDXOlXxt^yZOn+O9A31tN3F^q{OpRy@j4a zp#Jk}_5h<3!#qwkhH3d7LV_fH&!C(NRZb}b`E*l`P=i=YFMY%C;-hZ@-bO<2II7^) z;9Wctp2aRls)_xLE8s!n`(_!zf<6U+6S$^p`kX)(+MOn=_{pe)cw{-9+EM5-YzWb8 z@T z*6*eefAO7`YIyjCF9s<3fH0CGWNm}Tf}L?lVcpAuge*ddE^kT%iFW2bXZJeU&dh9n zSY@sSrmOf|BU09jVt_@DmBR zldwW?0e&OVv(oR8^{KPc-@=!KFT@F{C>WF;uO@D=mH5V&pq-&-n^+}eVSzUDpFz>oFF_uuCfJDz6l2ip&qtt4a%ug<*cyM-O{eCV`saEXla_-}73z^{V5o-#V0>TY_ETp{D*C}_ja>pq5dgcB=xnq?( zPPy`0mr&1m^&YF-3Cf+Q+)2uvtlTNe?#;@bt=u`vovYk=%1u%(@2nzT$;!niNyPgC<^G@c&OAPfVq5$*lgUaT z0Rp0+Mn#N1mVlt32nhs8SVACCLBY;2nIuCdGsDaTf~X7-A?#t3Als-c5rTwG!am4i zl)w!F%5s5WQ6eHlL`9bC@0_aBlS%vhct4+aKfm|>=+@KK->Os9)u*egsyn9!@$c?L zy2L*$6X{B&_%sUH32dQ}%tc`#g+&y~>2Bf@3T@wreEAf*C@kV(G%ua+NWbiq&@VbE z!ZHfeDL$6M#M4wRg(VagQo5Jeg&$?0-o+GFP`CxGP*_1>8T0pgcY5~;(ss&UFs1{Hypjtq+fNBBN0;&a63#b-QEudOJwSZ~?)dH#oR12sU zP%WTZK(&Bs0o4Mk1yl>D7EmpqT0pgcY5~;(ss&UFs1{Hypjtq+fNBBN0;&a63#b-Q zEudOJwSZ~?)dH#oR12sUP%WTZ;NQ2v_MIEV5_HP4dhHsq1pVJHqK;BY3p-%Vi&g=G|$Q|O_vg2E~a zy%bhcc$-2-zXuS)!*pNsNFJEXeO9t}q6NH=*&qpMM%_xkf zFowcd3OiF6M`0olqkZR<%T1y5Arz)7^s*`5rijm{co&6*iu59iFQ(8sdkNR4K|iN%7Sb-lmZM_$B-D7Empq zT0pgcY5~;(ss&UFs1{Hypjtq+fNBBN0;&a63#b-QEudOJwSZ~?)dH#oR12sUP%WTZ zK(&Bs0o4Mk1yl>D7EmpqT0pgcY5~;(ss&UFs1{Hypjtq+fNBBN0;&a63#b-QEudQ9 zf6oHZaO!Lj4=hc78A4p4EN}99_+}6xuOY=WWEK|$qQxV=VLo5H%RfGaX#h2_uw2s` z1eQo^GC?MTtO7X*;swF~9s%hFG6W) zkP#pjkas|4fh+_01Y|cz6^Iw)CWtl|@`F4cEQ~JoN;a6S4kLquEThw4&9gY^IMZw$ zlV>qG9mHmnCC8NE50(sLz8_nx8AgBQ(Ry>9Trj5jGIQ|DjO-k1^VjvyYqdE|RtufT zY05R)^mctNvejnf@eciHWA@mLOp}?H;jo%V8xv7sjNRlkLd7Av&%gmGk^$Ic(3>Tr z1+JuSl*6gF!?p8BJcHS6G&4z(jJbJEvqJ*wNcxNnyU_vHC`q}-T!U?_WXR4za@g!9 zi!;-QPMd$C({9i^Yt!t0X-;dN&1SSSNk77hXV)97P`ut@g6q;d^?Yy5#AB<8NlGR%&#U>0M(jY*l5mWekN5CX`ODHJnBZGmlhJQV^=wHx(d6$rpw znGT~7E-e$x2Uf`BhGdf2n#FhRW0{mol@XQzHs(5va0$6N4yQ2}>R`>aajRMKawTUr z77izoBSnM+X-u+N$H0zau% zuFRq7XB^9h1hC36jA`+LhvQw(3Sgz97z-d%r)DyEb{s~y;(Q&OUw}mwTn@zQz@BME z8!OiER<%r{V^x!bPz5?v9lQJ~?p@pYelg##fnGdNWZI!Ij>V9&F#4FO&= z>?Er4qjNAsiZSrhAZVDWqK+@~QShrE?84aPAh@4Swj#(Tu{%&~Av_9T+}l{J_cyFW ze;6nSq1Dz0C&S3b54QxvsbO*e)i{rP&q>@DoW(ZN+hoz3;nB@AL$yx@8a><@;s0uYx_(f|WlH5f)*G zL9d3Vx$Zz60%2sMlpP`B3Edl#iT%Q{5I7|~BDv7;FNN?Ee-C*}rr=fY-;SkwcH_Pj zrY~^370wiZ{Zgtii>(dy*CXrtW$om`fKO@Zmvj2|F>Fw`9rmxqdquM9;a?Fu!qA3}M3?}plqY-Skr zuQs+4a=Cabuine=TX~=c>S$!}{Ai6f9D~n<*_@IX@2-G$;SB84ywKE`HrJ8Q=NMD# zS@WFyXm&l&_ybESnZWh6eFILmWJcC zu7-5?KFsAh$glMm|MF6?yUha{!3xti1=thfP;3B94qX1_pc5g!0+4hMs6)}4Y8 zRacnrh&)S{v0t9ksi&A75lowG9OJZF zC}MrYV751cKjglt=E?}WG0OyP*ABD3++3IkuZbAlb^uiFN(3~^pShW#+ky@|!wek{ zTNQ~D8VAf^VOC!n2{+^->Uh8Bns8&W2evpfj9EBTRYmey6^w6ou*27&KI0M}t54&; z@)Yh%;g|)8hwG0>{z$#s(1yMB^oH=z;FKkYH`?DLVV*9rISrv_cn?ok#P^r0@uYN$ z0}ah^H4b(NvcdpwwVU2FvONv4E=M6>;dRVc4NqeLbJ-wU0{kM@{f2r+Hk;H4iiP(Y z=o#tqlbv?F@sq<={xOO7#veF!R^%{Wu4+Qer~Zrpo!z^kQ><}}+HWf;vcO0hkS zjPP)>1C5~d;l$$*ij`TGW&(wGH6 zbAjnMw8Nu~pnVGy|I)~jFR_`8p;El~{U7n-`Q8hA*|et{bJKboi{id(3sxI9gG4_4X4Zs6BLCYJWy|O*zo0bQBzZfNe@FnQ@DsLQ0PPPd{+NhPcaqDV10U9u!9TZG-gK5m%FE;r1wTgPB3`>kO%D{M3p-s47?U@HG!BeRK>G|FY4HnteY zuy>=Z?1L!&c8RxkTa=xB)WpHAHh~7XvT44Y;9%Qu^3RxOWP0mc0da0kc!9P^J45UA z=v=`rZFOit@Mf(ysH(Be9qfM0r76=ywMchsT-pL%fzAbAC#rN_-HZTNz{wz2(7o`2 z`u8-K!gjYDx3w!Y#hU17w zqB|nv`;FzFQZUU7>XcdiYQ7^{dZV1LzInI&t%| z*NNT4*>ZYUk?tUNbrU?1nDr1mOXi+}mk?L?5&RLcxu4)tVz>C2KemlH4!Szrz9RM# zUzHi&%5b|)eAyv5sDZei>O8?Mh_m6f4z~`(HTi-Qh~vfyeudcmwqPT1>+yn}#HB95 z6Nq&Mf@jG*Meu53*DAq#WnLrrEOGi;!MBOMn*=wG5Z9BwQ*cXS_b$P)#NIuEUm_0q zOmJU0{d2)D6JM?noJpMhrC=*@^dZ46;@C>Tvx(gi;;ZIzVq3J}HFEw0!JCNF`w0FA zaa@w%ABe;I2@Z}F*X!vo_z9Vl1$QD&PZd0f*!!yBTsgf+@VmtOiI>Rw^F;av;@J6u z4-m7Jg3l1Uh-;8x1T2B?rMTTEt{@I=DAK*e4-tp-6#7pQrxUj$j!6*dosjWI1zmz) zB90{PM_fbvhMYb@=-Y{7i6;}M5Wi1sBQ7N_BHlw>M*J0V6|tANhWKaVW)sEvwT(pm zI}E#baWruPaSU;P;#lIr#2tx;5_g^=${$7?N317KAkHLCB(@OuCmutbLOhN*jo3vz zgm^M>I`ItRY~s1ZHsYnkMa1igi;4FVyNSOdE+M`|Tt7ItXsaI5f!m$e3TAzu>RZ#y4cl@1KtOD?5qw z%P@Dw{4%3H=D&ppuwj7t{nIhO=XstCAH+m{nNc6}$BATLemNcc|5l3rA6f4Iu|H^~ z=ns(P{s7DOw?E!BK2%%92|<;!ml*%Pi0LkiNPmKOKc%-LE+c*k8Q$jIAB*;Y(>mm` zGQr8D@9qo-unhsh^2@q#zc`$T@6#^Cu&X@2)1ar!}#zJb_7 z>3fLd;BUdWeL?J{`hSfK_N^lOULp1n-zD}Ehr?}0{R-lTiOY%G6Q3mRfedAM--I1( zgNX~q3YLgd#tSwRCs6&y5_{ej=~Id0#tD9(c>i01ONpaN-$U$rN2J5wPUrkXJG-Pe@yV>#O@yizd-EzT5vLPHtCNb4x#p%L!5q3=#MA% z-W5ELm|Yj_CU)Ntyp1^Sn&9Ka1*Bh1>}epb=Pq%2s9^ZM%dbBjjR4z2#3{sWiEYI3 z#O%H}-$3G$o+7_Qoba$<3vnDi7_dzwZrwugLSj#I!KK8mD8cZ3o!74r{2FlklGxo) z@JZs9R6c$W$EtcspTW0Y!-f@Eu#&!zuVEaU9j>G_hMR(yNJ? zK`{IYOV}q?hTTc<`oru{q!AZoPse*?Q#}VfeyU2c%h%Zxl z@P(b9-vxduxZyWCtdEEEcOt`hkm7;|5w?TGku*LWL56!?^PR|l8X5Yhb=VQWhU0mJ z#^oEYaePLW$KNP;x5M&FX#O2bTuq!pTtRF@hEsXBiSvymj$1Dnzm{Tp26n`-&6V{x z3tlekll|5a&)C4#nTMFI6Z{o%WvSpx#H}g)7IDIKQT`vqk;L`j+IW5F{7s2NwhH}d zWUyB?_18G}Kz&Bzackm)*+Tz0(qBRIf$o&>_)%B(^OO>FtOMiMtUq;zZ)IRYE_FxPmx?*hXw6j;8i9 zp15+R$Uj-ur}pt4GF;D^wc>h~Q+ncdp2_fl{_1rJj2s|p^jV1t5l6l_!QSOrf|aG`={ zDtLi{mnirn1+P)?CIxR-@LmO1DENqiPbm1G3cjr1?-g95;M)pj;dSqSh=Lmm_O-WG z3VuPM-(A6J3eHyWTMC}5V7G#|D0sJm4=VVGf{!Wqtb)H&@HGYBQt&+m>+09FXSjl+ z6#TG)pHy&L1wW_YZVK+L-~{OGdV%x?!B6D)K9~g37X&|v<7e;zAoz`8AV>?PL&~2IABYr;9ix!fDG45FE~Cfy@TMPx&}J&jpzWG9Lto&-XwU zf~YqA&)YPbN#ZZaB0zs8?ola_J6noF;c+RBWw%So_g800{MA`XOp~2g6Vtd?6~thO zPMCOz-VYFxucb7Ad!R_@KkfVIL(E&%{Rf(lwH2C(ApQRk*^RSd7{_JOoDd=P+Tqikk z?@3`UOytOYEo)QJ=Mo7nHYuU@h_tVuGT?biDd;Z(-t;2H=LbfNjse2A(ig#9pZuSMwOC`o}@330`M_*KJQ|B7^ zyi$YmF}Y0ovcNU;60VZIC|`BClMA^jVk+m_b8v+G*wvsnqfbR?7g@26VR)qPJ_-^J zmA-Q7Rz$eF*Ex~hSnFKr%f+20k?g`bk{|l~BkK^{J?OTqjO3EzzOLE3_Cgk!+ zT&KN*4}0DA&Lf1YAL;+8v4e_V1Lq!8umA)rgYHCw#34FGVjMcGq2FKoI@F;KJzIx5 za>}c9NyK9ExK|>!3*ow08wdA{TqWzo39rdIQRqNfC&K4~R2!=-9ULTUT`FtUAR4=A zC{A`-l*r3T@^f;MYER&Eaf0gl{0(atyeRz+Yg4%YVI9v!McQDc^P@6d=?aOb=gw{t zUyecUY?7bTmFSqrrH?N5^!W|I~xIZEv_qao#JpRMI6dr=)g;=Y>y%B2> z?g@G&LNk^92qk!?=)z_DU<_8zpW)QPflva6GhtIWKo>$X1d%WT0p+lc5Ke^>_w18P zmA%q%ag3kKpJWG@KPnRsYh4O?iYVWX4uP@~9{Xz{3pMcQ=A9Nf0ZLRK9@KgcN)B=g zgjF-OPJxosF8cw(p>PD0{9NhOC2qb|Z-2GKO3kE@qS0PlA`Q z({6?0X+5Qwtw1-IoR>QSS3tsHe`9`I=xv;BW1&;$ZrW-5)d-$&J~t5riUVPogTTkB zCQFvth_Ns(*S-n0<;x8-Em)qMfE|v1JQhw{ zx~~?p4!uXn3WQW{f*}Fs1axWva^3l>nSbT$_M84Gexn=je*Yp(X$`+@I4Jt(5>sj$ ztmVMvxUiHHBU13igpLQn@(Pm^8xSO<@|7!)f)`@VF=7U|wGLx1@Q;Tzv`_@BW6d@i za&S@&O0qe7f}c1ngS6`n#x$cnHw6YvSbqwmAn)^Gs)g%ssmsTum@tB+=(8XTe}TkV zaT=~AY|E#ZFjKeT&F5+TVNh14!4&W>^T}!dT|T)?tj-9%SQ>d|e}vckPiPq+(ym4bC4{y3s88tS6GF2bCp zPUb9Jst#|$_}q{Q`M>rq;lK4R!9Vma;Xm>&iE5GpJ|li6?+J^``jny3@UN;IbY0M#JjtI*)LY_>|F` zzC|RBM*H(lfJtzvDY$yQKP*|4dgj@o%ZC_v_v8mXV9htQDVS+mtr zg|7wtslxTe{$I&y>>MG4Hy80mGbw?ujFIGS3ycZfDO8xBqxOKcgSGIZ!J_S)xwdv$21A<; zu^l?bc8YzzO{Xr;cWR?=KQdFF#}nFjY}>wVY&-t;)=sa7rSZ>oY@@f?%*HkudONJI z@9=CpcvXTj+J(1m+fMvX5ll3&wg%P?e)pkWwl&u{0@mcW>j}R@ptoc3?WlOjz|oLr zw?l8mkN@Ii?K|T6sOgSrtB;Xeaa-%tzE&(xP~^W&VtD6VxQDTz6>tb&+W8g*aq#!2 zpdtp#z?l~QgFg{~pz9xQ?OA}%8?D8^Wc?ePrYK+5!W!E27NZm1>N-drq}a9@V4}PEN(S39DXpVN^ zkib9Q+Wgj=@1EW@J#lL5)qj`%ScCHWC#EiK-gBH`|5cAIa@hMT65ra}y+M<8=HaUb z?;7`5>X(1q)|3v5dHm-`?%!$u@s6SU4$Lnv=`^#=v!@?QF}yh?V^?*~;;Em^Pku3B zLgkf{`VWtMVz|6E?)k1d_x(jNU6U>@-T&OcXBS65Flt+;mnMIHF|n}F{Zhu;TNk`P z{YlHWkzwgeyWA^x>uR>%JGWm~V2^M2#oPMaaf=fx-n}vVnZEnFDODAMo#Iu zu)6P&%lBflo}Ehx zH)-v6PuSOM9^E-@=R4cR{~o5Drt5i6D$sv*_5S>@!alEeX*FqfRfu)Tf>{S|&g_%c zbjQm}M`VWF$Z6iWtoP04MHBnC`?4l1=C|U$x1P`6H>i)4{lqHW`pm>f^_5+2UoG0w zBX8odGq1#5+cV><6>}cnGW2-m1Iucxi+ddHn3=seXL$SvU7|m`vi;EAM(&W?ZJsFZ zyRLrI*FHEF)o}K}l39JKlh$UMuLmxFwDo`$B`?i*a@gSohNMAR51+3(F+O5_^xc+E zxpGf`7uICsiKOE%+&$FhT)_E@_1>&n-T#9xE`8Q%?Q=ohz4~oynvdHT^T0LNfgSFf zLsmE<3%<~&b~`Y*@lV5!{?qmP)7MXYKKae~-=|(aQ@K2L^^mI@JBEH<*ezyf`8Ma0 zEx!+#8=Ts8_K&-sT-a=5{Jb~cnbz&#Z(lwh_2#6p$93zE|2+A(7SGLcWzEYPT&8)Y z(@Tp^#tfP;p>)uZ;Mq4zcQ?LyX8E06`K>hj`W$$tS<2O?53<%9pJ_jCTC0{#<~F{* z@cZ~~^VVMM*Px%d@{vxfPc%yG@_n0zdBfwMedCR;ea+u3HXZ0Xb!zmY*ljWK!{>jV z^kn#nh8r?w|LDH5(OWOVQTh+}>hq;LIxTL#q{-Q!GSRr= z#=s}f4Zl!+Wl;G3;o0YUB%B^R^k0uPdh2la3%Sjgx<`MPdU@W4ANzf|>cr+_J)b%^ zM(V!i)2s1E=gw=|(a?PK!aj2%KXYZplrPH;4jl38y>s*b%l(UH`~C11tG=D^V&~Hp zul&~XMyGeBdn-R{-E#Vf^uEF6qrX0}J~XKD$K7<%J<}&Gj9L&@zr~p^?*414wTjFr89bNq7j%C>h1LOjeWu!XC3O-H#+;9CR=76xi;~@ zlf_pbo|Dd!zJ9P%>91ey+qKTJF8j#e^)LU^^g-i#{OfxB1AVtgKm99nFHQV<`Pts< zP8^$kY0r?ZuTQmi_@9>lcln!5ytUqTsddfXhsr-}7oqI(&0bl2yJbb=J4;*K zEFUzk+rby|vya#NamrIy$M-W`+4kh>(ZL^Ion3IC@uIU`QZ(^3-}PvI;n0qA?VcWG z+~-_$tpD8I^M3y*`OzikVyAUTIyrLNlBLs(+Tq*ob$Fy;DFlC`VH@=oC|L=?4#m8-W&Ey{`f;3=8j3g@#Fsi&D7)C From 63149583db5fa6fddbc48609a4595cc4e82b1728 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Wed, 9 Oct 2024 16:40:28 +0300 Subject: [PATCH 139/183] Update epanetmsx.dylib --- epyt/libraries/mac/epanetmsx.dylib | Bin 216960 -> 182608 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/epyt/libraries/mac/epanetmsx.dylib b/epyt/libraries/mac/epanetmsx.dylib index 361bac21782944689715a0b0560ec5235e6ed865..1026639271fdb594a83b67d6bd83aab472b9a7d7 100644 GIT binary patch literal 182608 zcmeF43wTu3wfOg$$>U5yATbGnK$8jh$RwgtL5NnFBs@X_DlyioZIghHJV1=t76fDh zYJ&mG(Wq_lHUZk+B+4ze&@!zp0cvlQYC$a3zDU4oLVN&P$zbCAf9uSgWD+9S-uwUl z-~ao__nn+M`|Q2;+H0@9*4k^Yz0V&`zxU}dr8LD~1lI*zt^9acZIC22n(GbT78e)I z_)3wPH1J=GS+qYb_#94(b;--(;`{GhdVhbm!SL!X4Zd3vfG5wk{_IMHDNpEQaq*J- zzcGJFU(y-y>H~0|u?Mo$@f-?I55lAE=3jB~g2neN=|^xdyeqZ@;2jS(SDwRyWrw-} zZ^`}lmEUuB@a155&L0H;jT;rnU_D!~LUEO};^J@I^R4oG?kFz5=dQ)(^T7U?{_6m| zZNY-_JQ#)rTkg`Y9bCo5)3b}Ri*s+d{-!|hTK(zfrTh(g7IMlZuw%K3i|=0CPqoj6 zx70!gc)>2Abb#mPn!f`7&g_SQ_$}QNXs0I#Po6{Jg@7`D_Vcg634I#`;IYzz&+fpp z)lT7I`718IqxAmL!0*8G(D2Iokg=T=FUCXJeRr1LQT)x)`-F=F{m>7;%pSmJTcEj0 zp8G(PExtdi`Ku4!{3Yg~7z}SzcmQ5m5S~1T!jo|y`d3^W1Qbjh49^o0fLAfTzf>r^ zU^RU&rC%2nqa|3@ z9e{h|+Q75G356BI^HeSwhN0>1`|d5hzwGjb<@4{nxAdMn?_acJ>1B5;XV_GCbYOf4%=AK=x&gp7Jk7w*{{sarbjs>HIw7Z`9p3 z^~@QmN{t~+>e+d_=gxn8Z>sC5A3p!k;`PJYzDSyr%WPBlaBv)M{x0uQ;(PDEylnBJJLlhb=eNuU04!c~uLX;rp(aN1wU{jME%2TLwMTIFtug;8)?zPWL_1UY+s%w%Rnj^X((LJ@m@1L9zyP+^D zcH4a!E1Ngw_uhRlKP{@jrA0*(>y{wp1&)=+rRmX`c4|I;H8di+sS+qXlHHhV&|(4-EUc%aD+XmT?& zNl>2Gfn|7>rzh;idt0i!2R7Gzkhq8?)F_L z{a{aQ-a&n*;JG&N2(9lb#%kyIUoPrdtii7~aIk|*82u0qUuuTK_E6z|rMAV+bo-QT z+97|m`+z@J9cU#@U*z`bn%md7Cb`=m$ru=`whJGB#P}ATr_+z`*fY$C0>3{!xblha z@ybw@-|DFVCoT4#6z8at6jeE;r*630Hz`?dud%tkdW@QvTBWMW{QjcyPyMmY6=hRh zj;LCvmU^gz^7<=R)oRtN79EOE^Hh3iimFcSIZnF#fcemto2^|)uNI%0z zeSKl&|9VLN+xeXaTq*O_A@bf7lJ`c*OFqG4UPxZy=_S0IOWNSR8_+-N0{t>w%0{TF zO2(>;3GMc8_I&){%7c34H_di029};i8|YWH4qmOis^?>SQu9@mlfJfiUHFn1{N9i4 zj^@jG_mt|sO5Te+kntz^)UCjTM@(2NN>duw+}8aPW7oylbuo6QX?j;ScrdOF#@c{kZ?O+~c5VYu@0>}$JH8TTtyC-#E=cI4$B zlmFBRxA#xjNd72Qqva7Z3d-`UjiiX`#zL`mqGvRBdxF zVhh2dGIW#X5u2@%!T-&pZTeJlK*#KRtwR($~!Nro$6Y z-ljEu7yK-^|3rVMI#kt~UVqUql)6g#YApDCgwFkiKXQtK-irk$ebga!psy7;pr?CN zSHhFw%GU`#uIicIm*9y6hhkh}yKBnZ2Cq4QB|MV8Cc-Q2mGaVFNt1Hv)e+cH19{{0 z-Th-$#^7htoAOJ(m~51fbGuSCM`Z?MC~Bqq2^p8qemU2-u)JbweYL9EjeM9Bu8a9;5&!rNhwYF_x#v8n4esd@Eps;U~BDsqDJ zR&0W;lVgm>*v9gc@`Y1hb&RNOLASek_fVjHg=>R%3)aItH}HN1_Y&?8aIbi&Y-+)> zo6C*Lv_zq)g{EDy!tD%4okv8Ann* zg+IMj)m2>VcBO}_xUvZ4ou)-qR*<)ew!46z(W&MYPf!!{KJ^!6P**;6O{1e@_y zOS{cJkoHpFDCFrIk!pJ)eI&B#(A&wzDek9i%3zaFLdWpL+8x+wqr%<3??y1z>@8VO zgM;wB=g6P4>iE6NrYd(+->67s_^<8knxO<@Q zILfzhcXDrI&XU4CPiWy)RkqRjSFX(o0scLM?QQ=`jYv{M#*aQ zk2dX)jAtF5R#hcY>;n@XW^M{h=x*lCNjA#J(+*6rp-L`Ly=~+%Va6pJju^Md*EmOv z@;buZUdD!ND4w_Ep?_~c@0`Bdh7Pl%%firU*t5$cm|JMfwM6c_y?%7?rf{<@+ghKR z>7_s8TAzyWwxKrSOlmU!Y>BH`5xAzV7PHHr*h(?ZxOhNCsV$eI}f0_IuZ)ChL zp^w}#1NBZvQ12uZF()P;y2C3lzl+{U61hqHQ&*^}Qim!M81sQ4@LJG0y7FAm2!HO1 zP(Jo|C3HNf=J_vHRciFDSC>c7mni}HhI}#0-b7hb{znDMK0Qvk>L1ja>M8F}QB@k_ zB+z%cy`BiwdkWmG`kg)Sy7Ue7x8%!qba4lK&t9_~Df7^l)7LXU+ z!e37ZXsSOQ;gvQ`u<&Axhzvv~_F8yd1q>NC=^^zBj|BT=p7hHrRvpl(?PGtD$X=P- z^e&%C|IVPFr_Jf>7LWr8>f+<#qd%CV<|7lOE2+T z@=qbZrH|Ua0xzLE^g+6)16`5$6|G6&Cc{et^ZW3U&@4#zc|v!QJJNo32lnZaC+SaV z&$1BQOWyStJqPZ7d-#E##c|N{0>(=`ew#3(Rr<1TuJ?s*oxbcCp_chCQCa5r4bdTw zG9E;Si2SWZj#i)}3XmPEkUP1w@7NfX)piLocuYVB&!c_i8E#iTWkeo`92S|K&loey zYf-iN$SwMZcibz$oHmCz! z+L$j+ds3^~%{ZgJ{b?Qj^^NTMklfP&2FBx+~+jNew?~DInL!bX(3jTvN>VWtO z;HwS&e1#8TfisKExY%CeClnd!Da5AQf9itaMw0OLD)$qe3!KJPF1^;bAl7K(YDY)f zJf6Zm;DKJ8cgPld;Pe9Qb}sAPuXuO*Zq;P=-@?(@^dp-ug62E0Rd-yfwl|867~*$$ zsmC9C?18eSmfzuQ_5ScI_5Md_y~h&`@i&|emT?wXkA}i>jx_#o4p>T-j7MeeAl+pd^ z+3EA2q4^h%GO&rxO3#g<`8SL*+Rl;xJE8fvk1}3ANB%XT`QI32Fb_B@KHmz>-!sa1 z;T-uZL-RXF8{5v2zc@61-e}{8xk>5|^_4I$^TlJw4o)BJyO%l>{+8=| zDgxijFcp{hjRzk;I4--X+?H4?KDn2$(Y9bmwBUR3;7^GUbNk|1XX4zB1i|sPAnsyU z-y*-kuSIa26TqU1$?maePzJaDIdUV;Ch4LdzgGfy)$hM@N_~S@kfXcM{w6k zb1>g^;J-*`KAVo;Lf#E-CwAZl&);*Q3HXEGH*D^v(cmj}C7EqVZ2ktmB{L7t^?$eH zdm4zJ%;!F9F4rb~=Nw_^z?Zoua}l4J<{6lV&*ym7mT)6|!Fum$%G_p8HS+Ar8;}3u z!&LFL#5Y&Nd#yJI`re%spogUGB~9!R_n7{)-;gFYx;wQ$%}d%TNgE$XleN(8q;*T$ zCH-kXA&YMnzjd7oTE7^Vew_HEudWfs>I>vxjpWHD9KNvc(bBQuqq@8UJqjS7! z!j|8VQ!>@a2DhcaY8%6P#Ar3SI9_>+S%=~B-eh-sS24fMWUj}&sxX>M=Nis6j4OsK z0j5TRO9j)*-iK3oA@A38CPiTrq~OVF_DYIMvQFDW{e|0euE9n`!^ipdW*{e zFTRM)`r>Pm-f@4vZ0Gy-@a7!Wtkc|@QE#(#wc$^?sHJ%4F7ekfR(I*x!SM7h=7^hk z4yWwHzm4?T{+zzEgR&PXw^#Ctzv&n<`$zb_nnHJ_= z0$)izG6&`PN4%f$3h>{Uu=732ze$;Or2R?mT1@mhZFpuSYrx;q5~H)R`7@!%`UrJk zmqVR6LLHaV=8?2f=1(2)$dVW}+0FBR`BpvtoaX-N;!SqrxP5r@iR#Mr@QiA%2}*+VCz9IIg!1+c!MQQ&>A;_{PfT zm9a28yL;hot$U&7_AU%p-pXvv*cz@*WaCrIqYdJ}+y_n>7rC39^iejKZRLXpZ>RtN z2>tO5R7C^V9GmT_h9k}0#Oi>N#ftW_ z(gyA_2X5g$l)u386$}-(@S)vqu4#Tnd5{yMnq^%7rbyNVuu~ZaB7YpnA1Crh_vf@+!aOLU zc|PUJc$aEuRnNgEjp&s;e@8ID||IZ8!8fuIL|2FNvL@ z;1OxtttNixOUVrH#?FYIt!xnXp4`v*{603LZH(&mU#?`m?705oEYX|$Z$pQQEFw;+2p`4qe00Yg z?10(Gk^)ywQ+}E|At>q@<#^vyIx|;kK>MQ%hEK~mU)xSHW{-*4Ix&FN3054Wvgsmn0 z(K5Vm?6t)Q`=}%&ZA37wA*L^%jCr$c$as|TZS}7;=4C8T6Ap=O)NngKrmUmaMpI_qLbLfSr3E54%CaM$j@r7MRJJ6r|ULgjm zQj4i|apiNlHFvL*{&hd>?vegR-<~KH9mab0)BNf(9bB~E8IC_8l{GYQ%*JQl1`Lx=)0~Dq4&4WB zj~r!foj3y8x9vw8E;4?~m=!o8bCj-%3TXEg)cY81sN!Ct4X?d{dp7q}o7Ods`;mz` zr{BM%K6x6?M<%*Ye_;N$b=kh?K7I6*zv$IdkyC^gKjHopZ20%F3+^q&cH(k#wcAHD ztA|!?bv`m}tKy1fO=P01i+Iq@v4JtLOB>O(>7T40B15DdN8po*;rQ!>R_NtL*d`01 zmGn^*^y=bnjj{F6YAg7=%NO;OLUX6eOBKFQ&y}aR%O~`p&rh_&BiGYb(T&n}vAz1} zH4%+~F1GK^?GDSH-aQoEs`6D`4g4UquEnMkerV>(2ba_|bwcJTb2P`kOyJjR+6nRV z4y#)EcrCP;ut^!$bA7;?VMF+;t(#-^Jl7IFZR?(x)z5uES>cUTZCDq+n!~Xrs`r9evK+PS%De&%rL?Sk*2@?X zetHhO>XkHQ498Z81g^XMo}QBO%X-#f*S$)*X$QXLFZvF&Cw619yw~9A`P|ji`6*7l zB<1ppShweSwe9X7sIZ*WHp;&bj|e`Zmz{3WQw7NEd}Q}*WOyF3d=_)wnXG@zSk#p{ zeG#(W^wWM`nSbOv#6=+IO`UxkV}*9U!n#rde&>%?MYzNk_Ky#DY1r!6Ki&qBneHg# z=oV$Xbx;}qK%T#iJZ~SNygAHGFCqV<sBQGhNT%zfIK=D)r~!K-bcy=A7U5Lq65rYsjb%FGuc%keFq zAkl zUxYk!E?Z=danT(j`^&Kx%UOGsc8JWMh8(H}4>x67fu#>E^Edp6Ir8LOETvK&sd2lmjTWkn!dV5F{KS;hdY+o(yMIW1bxIjhMmIQ4*(X9$w zEk9`MS@r%*;yKTu?OaeT`O{9*`Kjk4nZgu^pzbuVkDus);4- zT|OQBb7@Bo?a9V2c(L)Z8;Pf29h_YI6!8I zA3*H*X-ZYa5Ia)l&lSGfukd*Y9>O!`S`5Ek_?88)=w;12OCG4~QA;yK<`~57b(I3+ z>+l9~vxQe_YSK_Kv!UxjW*yA+tuZEja*F;r#aQgP3ws`ZYI@MMQ7_0qEpC z1dh93o8^6jJ2GLvB@+t1Kzo@h3EhRhmC$#vT=;)M+eHbgDBV8&-=^*Npsm#}7R{`F zLI3WzZE}mBXuthOZZH1U4G+amGImZQmOH9@N;>=}v=Dh&N&h~|I5%Mp;<K9NV=c^&>q7A>qk5?XY?*Lrq1b7{sC`aS!aS-#oG zpD4S>8;!h~eNpDdame$d)U6nA7H#+a!(Sxv)!!ZADU>$&_oR27lK55HaE!UD*@p6^ zJH@U{1OIej_ncgLP?fLfX#J}(c+7&T$RKcO&0U;V$}olf*}d60KRFCvdN>^M2Wq0iOuUz3h#_;&JNO^xudB=rM(vKSZ&XTZ#t;A@sNK~V~BkrG%$Il zG`!C~XvZcv7O)9Sy>=Fxz|?7${ui6T(*0JwnFswv(#FxT0lpg0zSn~7D__>fSAyH0 zO}=^nzUpt=T4`Iw)ja}N_$t)@E`IV>mo<~*S?1G`F|^*8BvExz&?a``2mU4N7J z@s*F_V>92k2i`|9zhn))K>T5;7pbb>GeQ>o=U|9_s zuI94J&Y*1BgYG9R8DQy8^S*2#uASiO0#|9Ht2AhfV6RyH7KN>6$p#m)!TILE@@3#? z!EoJ-Px(N);Mi;7A~w_Ku%-L-rs#&CExkX(_ix+M+lH{E_lr;8l7~at(h3^Z^!lIv zS8VBD%^hG%Z`0e)VoPIBn0*2s1I7(DMu;ta#<(%d{A;%K{tkSgp|-Th0kNfj;|R!s z&tXgN58Bcj>X1L_pA534#V3g^z2ro|mbT#k*o6Q2Z0WO&(_`>K=s0a2G*0tF#;G|r z8M|GK&CkP+ePb$gd`=7*pR~;!W5*{L*O={#?~|hzUoUi=V|-Hf(qP%aA$cEA!rc^hqc3bsuZ6QP>nB-(~(MvV(msaju{pH!M;eF#UPha&CO?mOoE)U8hY= z&Vn!dcnv$L6?louygNGv&D-8M9^kb!^3UgrHhC?pCyRMos(rLMZ@U8fMBu&@t|pms zNeeez;1-IX$bkQe9{W7waUXplb6c^Sq&;fcF9ytO1^>Sgt5EX5lpe9A>TOBpy!Nx^ zo#&FF=j;n2_n~v?l`blLzG7Vc}n+w|mpQZV1zQ^{E_Z8NAY!7+=D9^gW z2Cyq%HNK6s4ar74{M}|fe>B<{!LzRP{yf8y(cO|3Qm!P~v>ylLTbfM#dwlbqb68jB zZpGTs26LV0Y<>>^nu`xKO1rGRAok>L@x5d%NH?Z|8*MtSXQvyq$;((dt~}|+m@HM- zj;wI<{v&Lky6+R4FYzc&PvIYlqcGdoC^!YuULh@wdBj1=FL~@sCa#kAWh?LY0RED; zhcxEi$9JrrYSc_vUzj(n;l4)VQ>483c_fe5D%T?A0%_Z=wEcm4-{x6e#-3I14A6Uw z(Uz$jd+zlV+M!bbN0-rdw=%{N3-c-Y<-P1LXp`Th%kRJO+av8>IMGOR1oZAv(gpq} zw0$|gpEBZ^WZqGW3^nuCebLA!7FBe#p4_S})i5$0O;%o%S(9_0hp5kk=TELVH-CouWrF?w;t+Vg zNqmHihtJ~Aw|Q^!ZTB^X7J_G6u-sY4(Yf#(>;nkmxp4?Qe{v2yU*NqPxgfIaKlv?k z#`|yLb66)`*nslQi`oel|1K@lU`r(@N7#-&<=)yOvSTYS%Zdw$QF6)^G6X zUB0_s9k$gcQ(eW0}Zs7uWO3D^qKLC`^Ot;^vTKD_+IxG?-YAq z_C}n`-VgeGHkkg4t?Ru>4$;#|W~{3noPaMe5Y!bnz%Q>Wg{}?c^HFDCzLNfY{jsir zd>@47Yw6Et#jslN{t=qbc|l*j;?oSR_b;LOJpK73Mk6%efzW(y{rRjI+a1KmTJ+pQ zUj|}l6Pur)Tp8~qcJ@+qSPlLt>C0B`HQaT0HjjHccb)re;o)E`Z6|rK=}v^k(pq(t zVXK7JGt?a5TeGGA1N>!`GyAzD(;RzC!A<-Z7LSC^t*!pDd>^5)qdO@ldsWOl^wm&# zeiE98ei|yzk3;j&M?>ZLkI+2y&ro^lLi5l!L*=Or<_Vp{`t2HHB5=N317o7Wp4!ua zyfFFLhmG`RNl)7d)!Ue>4s=8-pNyH#1!ladIc_?~2lrDnTw&T27gC4BGy^vfH?=qX zzz5gFEPC(C;lxvoAZ9j}nAteiQ!ij$HJQXa~YS;Kom-wR?GXcIUi8i)uu^sr~65D|vt+5^W@e{TK z?MeM{RHyUU2X)gzR~LNe9V#QHyQ!UYE z9MxY*?_K_7@V*)Ri)hD9v?s8yw{!fBwDShqd;Ovhu9?do`f!sDox}|J@c$mWV3x0I z_$=SMQCuUG@7+(iM=IYTo5y?Fmek z_`UDFR`WgY$(rx|T_a$-lc4f8out0d)*@PW`q>5Eg+9OWr#dS!|t{wr-a zv4^7;g8Sl>38NOJNL;alSP#MV9~VG_NLi=bA$;%XwZ4%(zGeEs3Wy{TesX=W@1Hhw?nW2stRRY40-6WBnu{jeOa} zO=`4h0&9t-6%%^0fnlYU5`VLxVo}fDtOY5hQ%h6Yd4IXYoB}h3JyvTiD_0&Y zE_Zdumbtp8Rk*r4FL(Q{p>2)Ov+EY+6Mq_e1A5bJT+px7u6hgD6WCe6Iz0Jii$4t* z3+>VD4II{Wggspn54*}9)wP=6$LymrSO-5)IbLGulA7ORUjM#*Z1V@u@;GOMwaZ#N zaMdHKr?k4bXEo1TxPHr3QsYi7-H@GX)*FoBsb-#72>qn*ra9FKiRr4a$L%X724D+( z<+^v}<55diK3=&-8J7~vY_0#7u>L=v_5b|f`u{Xd>vFP=k_qiAz&+CzUHdM$uGJj- zBxXqBcqKkr)=sBUpPbny<3(48UrSHuFnPHlZGOrt#Esix%jkdjmh>clDKh3-HiIeH7+dNn93qk(wct`!TCal9u)79?R@?rz9C8k#CWsIqk zlph}U7i|THfwXi$%Oq$S4=u++%hAoYN5C6edcb`%ZP?58)@RUh6Lid9CGmn4J(c#T z+WFz`MXDw{wS;(MXmp@BO+7E`rblj9zV?IcybiC6(np?$P9hzg+OZ zqwJH^xVM4J##w=}djcDMKYCnvDHGWteiRRUv>SQ|A04@!SUq^D172bb`_d_&4=)Km zsakZ`X5^5>WUR6~x^np4N&nC%2P)vDF53PsZGVsY-ly#!;OG4~i8=7W*-g7?v+z_K zbjXIM=JULU>xYAAksa(~;i)U2uMSVO-+)a7Uo9X`rX0S4PfiG2!TqBv^P2=`JMYrr zGw^A4z-txoS|+?!LafPrVolueS`NGhU4pSDT9=%ia}#w8Y=cf42961<4M)IL`mzKZ zKWj`__)A}Q+LN1S)1U9&g6t|U@2RjmYIA~pN}NkCxEz=k?9++h;Y6+~;ZsM)YjVzE z8oV8aEGikjnDYtmLgsR|A7>P5=m+6@llOTq=N(QC_HPSk4XROPDROti_oCC}tU}@0 zu$NiCrQhei?k{RbR$H=F;SAW8e7d!0qJGtn8w|6}6{#CxJrhS(V z!B^wJ$Ks!J;VAqgyfYY|bMcX!A2_(o=jppL#;=0E8;A+taRKL?&}W|9vhYuPtVd zT{3aT=`wUgBQcz{T$gf5Jm;&(k@*h=Xym3ZMP7=GxPvRSA2r^Q_k_?Wp7ypm*;wa{`I-ucx_}s!?9VuB<#<2&VrphlX>_1#2x`^nd5`8HtlKMxFI0*y_3 zX8FYTX~+Hy!}gqx?Rf{b=Y_rRoK)DmKLQ_FAK10*>h9fR-M!h!n70$h)c%e$1okYw zx98%e-krZYzVhJsio1H!hUKKDRb1SY1KeVzy4=WJZQ1-DksamerduzxZ@jqP?fS~H z`8!kXs_HM>zMb5??UCeJl)tO|?(UhN`nP|Z`?zR#?;3UY4|1`ua?EQ!_T>DOJz?(N zaiiv^9Oa%iYC+0g@cHwy%{y=XaOJ@tmM`nc-H@BQr97)=8GA!ktXlp=4?gX`vPbd< zk#6r{dqSneL_dT5`3(HK${t_&d!F|?-M#jy3sSD39m@qy+47#;Sm2ah)3bM!yZ6G1 z!1MTuYkJ1Wo)am@UabUZA~2rAj$ae$?k%H@P55wxPDg<`9=tzE99_E{`}U6I_nKwD z^v2Ge&rruj6)SocBuq~oPaKoLn}cn;v}^gn?((JG_~f_SgYe2YJM0K;v=Ntm@zP(J zbly^SSI;=;yt(Y+o+IG58T)V(eY8qqc9BQT^k)-&Ec3cX`nbzBvcR<|5I6iy#zHhU z`n%|PiNSJJ2hwFN6+5D6uIBMNmo74Gaj_+2FIZ;Tgzn4G^)1Wp?@`#e9|r5&3_ooF zzO4H!WG|f5Wz}ufS0FLU%PM;^!*jYzmQ9k_TT{Odb>5zJwnix2&&qe>^uT$rp=V1s z>`h_5p3=jProeg+~zWaW89nPM3=jW)d`%F*?&%;jeW3o=Ja9A>BE@=M=%$T zWKOIzH+C?mXD{p;oAFkX)^wCP?w`>m62B{ZDOuw(_eDwUZ(wg!cyMo2m@Bb=PQO7h zA3uui@)mod{y|&brY#bul@r_>6%NiFi)Xl&2lqxf*c;WEsl3=@m0RI;=JX~EDRYWG zlli>BH`C4ed}4D4>AlPI!Fe{g=h22)v}Gpyz-F)yY&!G#T;}mMa~}T-@k`jE4T(?9 z+Ixv{Iq;mW@)ViVY0S&S9!b|m)^g4wXNGvZt{Bd5!tRhOjrX$)B=&4X-Pkt@d&pgdW!y&+^UTth(7Nmp}1}=BV9D+3zxLpL%fl6R$$IS9umY`8c$xg8v%It9p(; zoV)1AXrXO(>TaH$DmPVCOzimpd+HCL`garna~*rY7L_mTW*_7Bh1Bz3;CfgaR_Q@j zZ6)7&&}$vTth~`*W>+e~Er~(C;tN?`!FIp_ysd2K!z7 zxx&9km_xXS?C1XX*YJKe^w5#58Rcc&`Ori7umF0j(sYv^G9Qw;kkG?@7J9ho5242m z$UoWprU&U!gTHJmF}V5AL*iw0SLQ|)q({R${-SkUH&fmG8 z!mpGK&iT+V6PP(~mYTYDF8w(UeffK6ISg9<9$K!0mTRD;8-7VcH`y3NdDJ6*AN9=q z6xkQ+F3;?7r4gUUUHDjW7aZzYV{=n)J?l25?3c-#0Zpl2|HQvt6Pi(fCwmrL;9whs z!^_|h1r9HR!=vDkI|v7<-<<~@%Uot%7VPxy|2gc?_F3>7k-MoAW0y(0jLX(9#7%Jv?U##RyLnA5ux{Bd^^W` z&2Kh**11T2dmLvhs%8@}*28q{fkyl2Zj(Mcry1?Q4y>QYH~)sZWFNyQbeo==Xb4`! zJZwvQV;ZtLzIl^H*LSC}H@?5zHq!NA96&U4BssrTcj&bvIiuid;GN1*2Kxr~XK~hN z9rwBl<_@g?%N{y?8S5#?VyFG-@27>p+$b=Ec^oc$e5D%mn3;>(BDF>6Mf1EZi9cLH zz8yK5aoCpFRf-KqyY|!bhSnFq5Z_!QusAD5)>kvprGlT}X5#WOxZD!JMdX=^VQ*=q z>g}ZM(q^e+fmw$#>yWvLUilfY3N=H&>Fls>90W_{hGDa?H|IIcn8`aeLX&g4wtth~ zW?Ob@=J^*^AKgs4ZA7-OZ5M5XKd$1rjkAGA(vREWx4O+X>qR%nPeGNQ1SOe?eos}NV+`??zbi1)Tq|Z};Vdd$@bdv$EH)9W6PPoe&Xqy;RgqHf~$Oaw{scan{eV^#CD($;@YYEt{iZZJ}rNsJ2YQg zwCd%6f*>D`Z2q(4qfT?*W$-MKF3yNC>!oh7*_RUoW7QkQI|q7)b7gBYW{7`3Pr z<($X54RzlXT6Zw7i@bv8!1@!Le<^vX_Z|Agr0tDiMrjCb|6AS%$0$DKB8j;)>AE`1 zkl4#lsL!PDRpEv?W?v06>70&@<>0KeY4`B%=?@{*fI2jgSygqR?gBC z545rRWthMXsW-H&(B_lAzDa6c62##xXd`_jJW;@YPZO8X7B2lfQNezQKwp18T>h3l z2p5x|0%Zr{GP3zb!37)y7qg$92_Mi;UkjmE7jweN!7=cC#`bOY7-I~5W%kpn;l|i- zPoddYUyKOE_d(}f@U)yQAB8_nXwrOa`N2u$72U|X9ekG|sSY0y=Sa%8YfSqQdy;kR zmMp&OFhzJyV&ituo*J7cD{nd9w1UQuMtHpWE3et;0*;iEbyVMf2J}{-pGP()gLlmZ z$Z}}g#o6JGO2*8}v2yl|sVf8dlA2@5cUbyiNuVDpX`@MpZ4pLw2)~XIIt23+&=!#e zqiOF0H$Pc;+s!-f`wPz|9c+<-wv*RS+a;FvW#J|2@4R^Q#z`@5UlFzzv1#n33CKkc zesN?bm&o^#&0Vw?n#I*|1|u?H7LA`3sm>SO0*9G2#qfH*S_}i4* zZ$%h?p?nu@YP8=P(D~?D7kYLYKCx29M;r4M^f0!_ndg%SzN_-z=66-r181mn$F2l# ziRE~X_pc)Z>sE(zKCbd9^n{5+LZs2iJJH>0qw>){(cAmeiXx58q#xvW$qz!(>mrS3 zNXLh@zhQGo`s<2;_ii@~v--_jO&PUTsC``!IEXb->l3`b{^PjvQd@^~`T zc48$9M{&WI7d$~-OOhRimvNr8_X@+*<*TnSe!=sp`4L7VbIXo+zLjH7%pkrqPR^1E zg*geBlJ2}jZEyPpIzNctr_^megHsK8N*Mc}U=QLG%}RZb^YgKpME|P`@%Q3ilkvM7 z-!Hc2VyE4))oItcBDo^C!nwk@>|8c3jZ1Bnc9ll54;}c@Z>dUUN!kLQd#I~ElKrpj z>FwrhKWXnN-s#{kW3|KX%y`DGM@ybe#%<~rRdo!V9GEM{H{Sq^7QUa;VFTZ_#GYYO zNI4m&lE>upOC81x^3}XLwU&4#->E&$TK`BjmHpgtq3|--pRBXUw`(Uv?jAfujf81GI%?g0zAFzFZM7kE<7Gr@YC?1vmi{e5M&JB-7W zQN#)UDJ1`fVEzX7l=R`0Kc!Z`Ie?e&%eCO;(E@mN*po6^qx4z_?^)}NbKD$bep}}S zVw~kWWGiU5@P$0@x|s6`;mcjanMXsfHv5?7`-An-p8YaL!Dn*oU4gnh;MGo^H0pCk z1nIy#lMZ*qc(0T81oPyOhcQz%7q~(%3*Kb%Siir@Sq(LdBj%;@9h#TOCu6l^xNi2( z+T4hFkAg$~rWj-Pt>xXPw_umf!vW zK%bGv#Pz-yZ+wsj^f~hmr#Uz6gZX=h@mKccdc;4;e0w*)CC@IoGtPg_J+)S=5`Vpn z$55FS>1OTYP5+JtoDqK$0&R_Kw~P=8x!{!f6_@+bcep^=Q=T4cdjgXeil zn#5)@=iVP0_n9sFmvw7oJ^J^|?;}~h>;D3FXw00T9SL1&YewR7ce&{H8FQU$m;2l}V4vkTJeTcLGpTsxs4wij|HVsv_Ay~&R z$S3cmo?*zdmSFnx!SZ!`>XQf88`>^xfo*c8S83s7Ls2$e`ey_EL%pTq(bL4QVmr_|-p;q(h^M+G9N#nF)>$6OxsjS7{(Qa-;`RF#adgUu z?XszGR9yi5k0H>rN&I{qQ>YOP?3uzYw(|%8XR3Ev@C?QSim9m#gnr({V zAx#gat)uSh`BTvMtf`S!!y1G+e?%Y3+1P7YkKjAG1&PRtk?6Z5Y;m1+Hi-$7`CSd` zdWVQjSY^|@jv?oF+Tv@MpsR#eGqJO!Ue1UwYG(~V_^AE504{S#J91?pP3FUY52ml9 ze~*k0<|X}&VEXT|uaCqB(#6m58tHtmXL1c|N2AKG+F8S%DaR`J(mCeFw^ z4ZYrO&z|5?Q&Su+_Qu38&n0$D(=>c4?qADqMU2TGkb5<<9!dU8Y;)6BLfd7|U2~hX z&t}N{Vi#@9ppDWdzB^F#Gt%0(@ck9mHKc7n2;#a>+ICYAS7^O4nEsr!EjN%Zw(XO_ z^mnCg_CR_z>E9vUP1`!Kq1Uo5D!$zGAF&>EiQAjrq`d9+oC$(^8kaLXdQqD_&=zNv z>V2KI^e&$TPtJrlXRsbJoplh_KKEwqX$Cs@SS$@i)k`v`OgGK$|*vmVI!k8t=hVVCbb0M&}rOqcILspME6zb9|cE|9pEe zing7pM^k}k>AWz0OMaW&fv>m|*J$d`4*F{Vo{O=ySE9eEFLff{!$S_~E8UNy%QjT{ zh8yUw*otNS-<N4S-Ol8tb>@<;=7Y&0(#2i#ss3PgtY~-t?Ur2fl{w~+56~s!oy7TPJ>8U64 zq5!Q_+Duu9Y%zI_I&f-nIBQMBYTxwny=W8sm^tFd_wP~to8F@smwT@fob+JcT_7TgR zy&0I-u%4J*xx8EIl(E!Ao$@Sj34$?cC*Msn`6qFvPhYmQ+rj$0<5p+4_(h%M`-xrE zCDT`Kem}?WB&*-hd6^RfePr4^PKOZ&JzGk6gMlUuv$IzBb@( z2Hr8?2tVZ053fRNi@&-uLwLyl9_{LiNAH3EDC{kb{SOVi ze-!vqMzKaIyfYOToZ>i1@~JWAJYZYe9r4Do40vixfKRRV^X>UM_swc@4Sdv@>+#BZ zZhBhAM!j8`_KWa}uHmlmY0UlU#tJ2iv4@`>efYl<_e6lL-C5G(8mXW#1}KBC=4?&Zt6 zrOltvwvtO}HTrrHZSu@UR)f1D-U{4&f(Pd^6N873b$xcXgZPeS&d57P+-@glYl*+m z;`x2}x@CNuyyJ;7z9DqGp?gZ|g@LhDGevM$8Kz8GJK_wPV)2(*UPT&rQrBmU7U|4TyIKV-pOz%A+aPiD@LFkmcwDc(rpT}!l@G!>Yv-y}4kBSg+3esq=`n zC8j&Ud8McDICSqDi%a8;NXomf9XJ-h_$Asgm9a>l$yk(iaGiB<(^e$jX)W?QO61T* zQ5#3WuNI#P|6c<ZT?+02=3jK3DzA$_m$ zZdy-uld0oGCckLXcALn}5#THID#0gV$<1f8O#HSfXFL=a-3M4$!1;PQh|LWdi_!Qg+29EI(R$S z|DCSYd_T`Fu{Z%)D)eb^s7bfd*FvYYte14y$7DEfy{2a^I7)w%U(&qMg~7 zI3E1$vfsbu8t4vz8%QZ z9nw!SCcjKQ9?sGi+-jyh`C9tde|fTT_U}*X$KDCVY_aC{5OY9le}xstrK>xBQ1fAg zPw0Cz1ZMS`EF)WB;s?7pG<{2!agER&znn89-Rw)H8!v*V2fvf2Hh|}=)go0%dlGImrQj{p%3r?iU(Mxgei+?K_jtg+_n6I>0B+5o%Hc zI6O&OH0RY;aE9ikRW{>2biC|YdQ3~6`j|GBD`o0q;ri6AjF(dJ9k543z2q;7#@0xO zfAlKO4d)y}(V0=$E6CU}pzmJAW5| zEqmGWF48yZ$hCg>QGM_)0e%#9S~?&a9k3Le2;M>;vPUBvUxPNLvO(rG#Aoph#vNTF zl<(Ljiup48vgjM$nYwdSEZ;n5-r>ZKI>vln`e-ybjtN&@Q|2?5h>BC*+0d#1AM7md zrd+@_c(#SOTk^Y?FE#C}TIj3r6PtJy)R?--#d}AU$`ZTGfqgIMyNZ1;=U@Dj_;(9d z!EXk_S_mv~4A`8&vTRNhUiF#qWFF8CJn7dIa5Tr$V0$$Y8x@(H#QOoVtR%uXdI@70 zJtMY;C9_?~?DTf2i+PUdCU3uPN;{y8Z^@Y1>7V>6{UKvTWRUm-*JG23j@K6ke8oEb z(8l~#<}o3@;0+7#+r|ZP89e`WxJ`fZHp`!E&4&m1lQ%5DpZqmwRU-a+e7`yTmU`TB zXC8bV_i0aPRr{9ti!jd4;P-lXy&hh#hu7-|@p{AaXYzV#kk5C+vkyb>!F*n?jRcm; zs)xtxhv0Gblc9M$H9WxI0(UWRgZAz=@kRfDz7e|W_@afz-~Gg&B=;xq|EyxI2wAdC zVxGRie$h$vU+YNbf-)b$-jGB+5q5ZkBRxDZn**|N>cDJSS4HFORXp|FrSi0M?VQvocnb>Tm zylo+t61uk7x~Irq3QKpFKtF$EK+a2?mYhW(G*{bbnS;+W8=vQI%`+puNgG1f z0c3qc=qiF70<)SF3mj}wSU+j$XCQp?F)@FWsaR5eW-Rjo8*Q%Y* zU$3i+C7ygh-3s4qXd8y&dy}WFam_gb8va^|M-qBdp7oG3=`H&Kl8C7_eL~Bousnj! zVyts^e8y77zQpy&_vplzo@!6*YQe8*%8q5<>Q>9XVa8TD;jwz+8e6DG;&Ln*!gmXw zcH>KRen#Dczr88n*beSl+OUK5m&WU7`9{h-&3V;E4LK$L`upIIZwa5HqsuCsOC?Xu zxT{QmQW;~b@v-&ZCgC@HrRnSi(9ma6&N?^j<6HJNekBXtN7|jhso~r!ffM>(cq)_! z4>BfXEvn?HKn!8;RCLK|UE(1(q`i<}*nm^=lqUAU_Okb9nlU6LdxrJBKP~xFY(D6- zqs{!DUp9Qd$K-cOU-g3+`R;vPppW|BNi6Wkw`ksrW)E?F`37~qmA{L(6lbnWc{dv@87gtIq=o)Xp4gILfzuBz>?;&v6E#-oF zj*Re_-)KBaJAV~S*I927U6w|BW$rBRwwraa7L=p)tp)94O+e_wht29lp6k0O8*6F* zqqJrAO2-)2$_JlN7pbPTwA-~Z%6xX<=N~+NtT^nU`sk1Jg~`9bly+9KF4sgIGM}xb z%@QXi>u?pOZq+M4v_~~Riq4Stm5e3UVhTm?2J~@!bABSc;hvuYU4FeKCC3-qPs?eC zz~=jxm0~Y8Qs*(|iBhku8#K`lfm`rz)SGvfdcP+10()@1pGl`R@=aU~Id4PW+u>=x zQ?Wd}sh3#OP@ZP)bKH#U{$QrhQ4jqzbs~Lq_5=Hffsy!3hs<9zN2R`dZL+NU$FmM4 z{V6;h4o)IJN?UOsv)k`F3sCDEDb!WPP#+-=P(AT8oX81gxj{ zmMrl*n4Y40lCX&qn}w&|!allzv1+?zz1RM2?^K)#l`jVYAy0 zob4NqZ(Xi@a{kgU;RAE;T7k1R>E`v`4<2+s?w9Xqz{f%lKl|u&p>MgenfvjNqKiBE z)nJO8RlnvizxU9^T-Ds8tfFf3xnys7 zF=u*AH8)i&dm9F8mBg;%_-xK|YUbMB&*;k~#3Tq0$eQHr`t`E!t}CB7u(FHYO)mC0r>z{b z@i24}UCehSCg(9`h;JQ})|y@`O@y6gI*hZbD_--qtL-Whk@*0jWFTgQ!7TgQJv+v?J6 zMrF1-Q4OA5te9<-(bZyBD_Y3BlJp0j{=_M&n_G0JL zR`E4R{8#6A&UeYoY2pl!W_P%I>+0~`U&;kX@V$QeTc!8h`Buq2C1d|_Pxjci?s11# zKUYGY3*VZ5PxxC4`qE2Ccj3R#kO}YNLlBsPkK#L5@_iy%&z0{43NPh5hSg?r?#Od| zYuOEMrLs>>;sx*#r9H#>7~q#Cxbp0LE`YD>tChVTE5KLwt9?LU9F;X&>TIKrSQ9-_ zg8q>{%pQ*2EpiF}wNsm)B4bF-W0CQ+fW9*OTKqV`lYCuqj48&3J)z%Vk#_ijR|@YA10V4j$v2k@_|DQoE^O+39`?_hba}n~K{;R!K~{_(4*^eLT43E4z6fjC>O&3Or{s-b6;s;d&4KYn{{K;hc`uoYS$Dawc59 z)#5=Xh(9X>T=I|)64*x{yCPF{`#tPjqk1=_$Qu z0oOxZKjO-XnMV5R=PIeI-E6y~3mdZN7H zZ<|6Z=|8jXMJodG4|&lAKUE?_ME+%K4{ptMtlByw&b@Wk=!?Eu;#LA~A}fj0VckNn%?C%3m2wV;*eA{z>IDnO&-(6R z-}fE&4m^X{)Kl1EvTreJg1bq_?=0W$(p`>?$UXC$%(IcX71%nn!?DvimrUfB*yJL= zuDnXsEfCu`M8Bnz);7ZZYssW%E-Ogva88h`_K&rmpA zFa!>fpM^uN=)p+#J?q#+4s4<*Y$Cp6ynGmEGurunmuhA{cij9wz~fh$x=gXh`0$Ty zzQd0wUmk649Uhi-n0ZGFbCJW34a+*rT;g@+9mmGeZft`N?uTu0S%-5HvsxvN4t)rW ztr~ZiYI)5Or+j6ywyo{Hw&nY4u06at#=Cp|nrqFpteoDKmm_*xi8CuFk28GtwMz3` z+d3}z>poo-!@Oq09VT);k`W%(tj% zm+T`GJLP9Qw+v@5S+d&x%p3lvg%8wA#3zkX+rMi)zY^hd^IT^=AK-lw-`uvI|Hylu z*ICbR@_wY+USmD~jrTl1WIea@K9Tq*>-itN=lR0J!TMk1eS+FPhVO4lKS=D@LcT}z z#y|U?-$jPL2`^5?uQisq4T;^<*du=j?Kw@Emaj+p{s^BmV*4>y^Nlg>)G^H(e(T%G z(-x_GE%Tuhv3eb|n9E^5NZh<4pT>NsQ1al9Zn=v*GS9jan<2#Bl{~X0&lvL12NKWQ zaZ3;mHk1j6d5~N3U|+P{MxF}J$z=RWe6hsiW$~`1ko0@jdpQ$;^aL~gN=g4R>BQD{ zD>Z0(Ds416GTFz1)@9MS)rBF|CsJjQ&VEYHLHpGV3w zd}G<_7s&HBjb@*lH94tGS_t2oS|9G;0FUyZ<;%Y1x@dc@<$GQYfn?0+zS__h}OG(5=tD(4{M z2mW-W{%LzY!P32b#(%=iiTh{3SBl{;Mev#F@S8&7EKF-0CVWvDI0d2Ke-_X{rMtuO2bPI_K2eV`vf0-BYA|pv!uK1q3o>j zv1^LD@SSD8o=*9*^V0gJ??~G^J1T0jJy&)AV-WXRBO~uvIJf6j#WOmIBV@@ccL+zO zaFoiG)>j=B*(dyzhVTQAoh7+bc4op&w{R0>p2UrFQQa+VFC=VhTYp`Uw23J-%X3JjB0Vz6E0#q%_rv zMxdGPVf<_lF?=dR{H)D!^OQDpXVs6Ji&ju}%k%jbZ560a2X={+?%{Id^xU5ZJ8F47fGEXRb%MEA3< z3GP|dH@Y`;mN3_Bb|ml6oU=LN+#T1IUNC1t+xp3h_kLYVdh`h=wrXvu@S;b9a-DE1 zd%9Zg<$HeKQCPg8w=H@{?*`)PX??Td*{3?X-`v>SHvHY*?k|ZiMBOc^(I?vOTe*#S zY;$H;vfo7vkd{k$Hz@u`TUNB@!_7|j2>-6fS8g+wRP?u8#((f}$&?$ZbC+y;yRge0 zGwp<%xK4`k&WOJpXVl7#%3wjiPKbaSMXRS|K(v|mnp}eX6R{CV#s8e}E z`lDjT|1NZ2EtgL_vE!;~Co*@Ke(7X0^RR10CiDPTI{6D(7vwRpweanQSFne;^EPW8RQUF?j>3i)d+RT6?d>Kur@fEf@^bWv z$Hp70?|z?si0^ZD()$CizRleC1aq4ge=qU>=P9S<`_X|Gr?DjkzZEBI4=#1oMXP#gG_zy0W=unOj=J(P>T%9ae~*fCxsa~I_) zPL*P9#A1);qHO)ws`}Bts*Q#GJNhjDz6u{_en=ibU%ies;tT9cwos<(*up*!`8$N$ z>efj;vWbrc_c8G!eCQPd<@jgDVn>$+Z`2twPgrfnmLl{$gFR&7<#-6!Pf_+G{Bsbz zyu!Zl&qxo}dBeA@v&+4qF?R?5dmj$^2$u0&j=oPauJmA$$)2xk=wH?S&-#z|ngedt ze~H&mDaR(U{LvXx+PF*qyn^@DjMr-9#cJflYUIOmZ0{?8QRPXmCLN*n1E0kIHb!T9 z(>})c7L~7m^)45CG3y&LIkdLrJK^7AjDW^nOcHZJ#g%;}p>IaT5Bj{|V>vji#NVL7 z5!>@QYZ2*RbuMv*##9J~EY_vvj19$6vfmZ4_Vm&(o%m@A-U|9gHtOn|hStm;^rQaW z(0y!t3hSg`->|12m>%kzOMyfA?eFRvm7~77m~YkeiMMiEz(c=RAm`9VOI8pr!s}4~ z*T<&#&V}Y;jdOj4*gR6!mhifgRTpK2eScMDeo9@jstY;EJ8W9O3topQja=l74W=DR zBNurSgXzCqP8zw$drmO@wbIB%-fsodUn-4Uph`u)ID<#SeUQ;Z7XmKe=FAE9$CC!ZDn!kpen@X?+Y z_{m278+va{_XLDfyDZr$SKxo4aTY8mrYGw-e%7L`+k>?AIxvX_EZVv~L|gNN-+mkZ zZGPxm1$JooI{!NSTZIw$)8Kl)7Y=_+PwXe5dT$7p{Y&KsFIK%bgvti~wcu%O__yhy zZ!?4S{xtmC%wWCb*>9|k^1q^QjJf(F16OKK=ta_Q;1a%t|3^qyBcFS338o)b`WDjv zE10fR8d=-Rd4>A_L8XzSy|+P|@=->vx91NF$Jo}D^G)Mxy87V`wK)`@fIgG|j`FIk zDwT!YU(b5W*frJS73aUhxfM$94W>uh=>x&^2s{0|V0yTnem9tov(x__Oh?=4u3$RC zPJa+g5Bx4v-|Mn-HMWd;f8eRHT-C^__PShqa@unnYEM)9lRC#*di)=2J)C}(zipq( zI$!XgDO>x&AHx#|?>pH0$-icP(i)`_TsT?ZYhASK4+BrBJnd6{kN0hfBdzj+@)9!h z+re^;q=wsu+A|gYobIdq&b>i6{^57ny{!MQ*B zW@M3LndWf6>(=rYaw&hlH zy>j7_+<#?#RL%8Et^%%Nu4%}Ov`={XGkW2>cy=}LZa8x&`xEl>&^od^!U&vetx3=pG%s zUr(O7TsmvyDE2#=mwK4zGO^jr?BX2T2=v6PQKWmfWkAx$TcEK^i5J$u|5}G+mt8YO zaWu*e<0{$g=wFQytr0Vzp%eE{hrSA-vuV)VROs#o)`iz|_D0a>Y^brg1sc>I^OMY@ z);fgso%VpmpS0Fn&YZ+r&%crRBOX2IO4fI>6;$2COZ6XQZDycLop^4dFX^|QM(Jj? zhhsQ~x99L*nqeN-KF;xV?A@%_`X#=}HLSWhJ+XC@5t-ZUh_Bn^CSI=EcbwSfX~Y)y zV2|LSeC2ns7D{p$zE4fVce9z?-YLB#F~oCNW3MBR;(7cSx#J*fQ|T0J*sFM!&)x{; z_^b0G{C(_Ubq_1*3))7pmqwf+=@eA24;iIeeS)37{1=zg{>Nx{7PMJK8)wirD~~_$ z_zSfC(>!9S0#`C?QR&Boha_;5=7{U*MD}&0C$GWYB9IqP%u~)tS6|Cs$9OOqACI+L zjqdy3>a6hgH`&i8t$BX7tZqX7rUs2KB@r z(B1-<;lGIMb|bQVJNS)Y{*EHO%!q1lAiWg)&E;9;Dm|8T1bXZ1xi04V6L>ClRyUU= zwQgGH%x!)qscut^k=tBj)NOi$zHkHYVPecTmXAQ?L}xk zEq(rZ;NX-!oN3v8HlS~4KyGV5-_Ve01RgcN*Y_B*+^W%@fPcIv@Mvvn-(xXGVAX|2 zz@K9TR-litY(i;E8Z_kvFLB`BiB2NiCNzz;d2H?MzF71U+9#-0|1AjipXl`w=HTVb zyXE9X&vAS?vhby>Q^sRAQc`O8Z)E-6U=HtT&6#QKZ_JDF^d`V#Hkm7)o@d6l`^bl~ z+&WkOP18KkxzaP^&06EYA>CQ$y|(h;j5l~*8Z?;xcT1XPV@cAUFIJrH=D_E`>-)OZnmI5G2@)1KLzF_%HIKed(DKn z6!s91qVq7zqa4A|9ycVs(6D(To3feEnM!h~6 zTjw~@sc_iBD|8EztJvz*7zPMF-ls*RW2keQ&C@|MA%b>|@sB z6K?7FYp$#R2>S`!5B)F00u9(0`QTO6Di^t+z7E>|F)@=KCYI+T(*i3WofdfX@o9m_ zo+i%kOToSq@6x`Y^Z@P)N0oTE*KmIcdQD;+I1-&DEj$~`4wbmM(mlq42==`$;<`9; zR0(@v3%d9|jOR;IM{zvGoxd1&!Kjk`p6CV1liw)m^$c5(|L~y&IS+rZ;KOA{7Ibi3 za)Fbwjx31eUBttO7ref#b3u|5|3~V2ebNUDc1}9HplsAbC9RVVEqHCxkp*?5>PqrQ z6_o6l)Wx^n1@2KxOLk8BkZ;HNZ&`_(Z|+f!68DCQ3(~QxQ=3|&jH?~jjw*@3cAy%b zR{$-f^E{j9!_cq8;Oq$TMxJwc&UL^St!Kk}-U**r#QZkV;d$9u$2`TA&Q-v*jO%r- z=eg7uA96l|0lzfhmmcmO?q2R*?lvE7A>BfHE%&wDUEE#VKNNpuELNMzJ*?c-vM_!z&wBCbp>C)aQzseK~KT_5yY_}SFJ^slA{iXx^3iqX%?enI->AMB`qT6*rEjD50W^7!BM{^Td^y?yAT z&S#7p!<{9a(KXk_5X;~KxVL-%+0)k>n=~gijx#rgL$8wAK8Z9|>#UYS%Gdg} z@T+0il@K$`abA1jo%c^cUR(5~hAmQ$%Fe@AdH`MMUdHTK+1PJ{{474={F$$Sso+Q0A-;0TzRqO4 zx=iEMNBE}vgTDtZL#L2rZ24?L&9+(WX%|Mb=1VsGPqCiSzqXCWr~H>@r1V6f&n=7# z{uBQFL;E{AmRZ2``2=7aK6F{{hyHzrxO;^o&MfO~`#ZXW2Jw1iAeD6#JzzF+Pc?I! z&GWH6N|}co^ayfLLY`~^;+rJ@G}jVmpa0gvi`VAO?l=0@CdwY9E4t-6*OATzM#j3t z;f&K8kz2RtrEML4ZG58jT+3NmJO0Z5JHq}ap2XTb;d{3u#b@j&=r?va`$c=&uaf?< znpkuAkk0x?{5<;jC%z!Bzn(KN4CWZ;PEWsQ$yg;vkPMS)vwN&5x#^d z&ws4l;j&_I(!> zev@(s>z8%*lbcxk=FVaLdBBl~A6ugS4W0LND|ix3$7FjdOwN^ZEUEmBdvbbeI_FAd zaIRF|40o#HX$(F$$|_f9@5nEXbD`GlAnu0sOnPT@zoB!ZIG3lzYHM`A_86Q6PIT0q zcSW3h&*<{hyfpAap22$rcKeJ1Xa6(wxy`@Cw;l=F*(}OL2QL1VO1mA>?g2Ni33>ufWj${E!#rn2JF zt*kfv#n=w!B2ye?&#v-%Y+UFwoxf$axGcOlBJTW!&b9ggoog(0gqK}>V&JM7)20Q+ zv*z(t%jA~~evh^f#iP}( zU*fA!kv z`Te!vS$6g&V`>3waOV99>?>SZ65|Q9@VysYKN!3)Me;IQu02?Y+}= z78~)~wO8hd%A4?@?aw0umhV@|4*@g^S2 zxVLbP!sLKZ6{UZH}~j^{UOF zToi|#Bj3M2vmPJ6?sS{3aNDg?+AjHa9k{(17!2&{KSdW9U=GGFW=kQlS+#GYHT6;6 zyU-1VzdNFL=#Vl5i^*OGwz)fqJxgqwjttsbc;_`!a;qJU>eCovSWI^qugV`uV+Xwu z`@6C2MU;ryB3?v_1IjtVAIx$P1~pB4fYfB6yqlj{Hcr}{^HsdpIzs)$sW-K z{ybs$D+CuQJ0|;tujQ6(d1`!#wk0Quw&$SREmS)-r)7G!;ah3xHA-ohp)&x4q&aQXf-#8}n*vtBPXiQ{<#zZIce>nYLG{l%l3mX%K(5LIGfmg%FgJ|v)P2bbk z7-_sJ8xf7Yq)--`j6p z(CmZ|K7YergLv8Ce)|>g2lKL*^e)89)Nd_cpWbh$^;v}Rs&qI*@v+Jw_?X7*-}>+A zJnx>qzo$>)-V5@)!F{ruJ#5d?X@NR?;KY}Qk^#C?j7eGxZNg^m+pJygVLsBj#nzjz zA+C;v%a9)ZDbmun1FyyRP3Bd}O^wWL*1566iDAba7f3Q*t*8C=+NzkjMl#KGXeY~$ z-8bu_OUWnOVcGOHn>E{-k)1B9n!gqObMj?Xw%-P$cj2tg~ znERqG?kg`oe~spO?cr9l*73n_qz`hAKnKQM^DMd=_DN%Uq_1=oKt($!w z1D&6T_ucFb=~=LA?u`7Y=f1VfOP;5u1z1O~zDcs2*5k}gH^WnJoIP_}9&>Qv6O0YU zYSE9-ulP6z=rQD5@|3KZ7RZGbn&F8a`Y)Yz;(+90XjS_Y$({(mC(=0J_B#Ap!%Ciw zFpgPg1MFOq9y)t1smFuP;RxgQ19V*26i;|QvZ$|h@tl5l#+=k;p*@Hr(ANj--##CC z!x`VMXCK3?xTrt9Vs3u{SAIrWYFX%>K|9OP7naQ^O`St|5!jCv^3Gr_vy^|H1>Q2?EepXLybIofA>ggC;4K5*vNPcQZ{Quym_~rh zN&@HT<_>6$V4eoAtDkoG(~RLgE%3WTz;-wy$-?(s@LjjqYr&Wwg3)2Ym=26{fN@R; z#^7BrjvWHVP7B64z&Pg&7(0RSp!8bcC+OQXv_0w3u~X3l-he*vdd}e{c4f%E^lbL0 zL;e5N@qv*8J0lK!e8n)zibkjCM5h?T-efF$lyU4;#^c)m$|;?SHwfIZ3MG}X8>ru z*bN=-!WL$LIYMWD?9Rew93A}c@)>{FHT&QASH@ZcG$WTL{*^VrZ0V|yZ?b?> z^5U|$2A&c=YgntbVFzTd)gI)1O)Pi`d$&aI5{U%|Ox==ixYRBi-X`lj5hF$RDv}Y} z?zm=3+r8)sSvRDxF4wc-MijD!`!)2XH3(~t_Da?ttmE*}3a;ObFy9({HUmSI(f#?r z7TIJTz2y8gZqCFJjceVzJ5jojfBntwIrmSIzTo=Np8IM(;|wj<+m)=hi&$@GvEI&? z4vKYlI%~0f?s|5F&MnX9-12<%OOBX1sUFt%?mcr-cNa|yd@x$PB~_I*YB1@p7JvF)Ru+bOGx zavad3&IOlkmiVHZ^CMTFr_jI4c6q+`(sw$$+Y4M{_mpwITF`b{_3jJlD9{)6xR_Vp zM7|M^Q@xK-?-6to!?}OJeJ*E29toYfXv5*5Y}KzboeRS1u;C~Q!Errsn3O3z$j-hH z*yeK=K78P#h<4~4a2p>*A$&+rD!FTBQ0_X3k98HC(FPx1S8=IjuUbf7mD5*+(k;?g z(!Gt1$(x^tUTzNOi)GVSI#)j3!+Ce~v4^?B(q+1;Qs?dUrk;C*^F!QKsk@2k)dozv z7%4{O*ysj29=dZeh+y0h`iD>Ww7Rq0H@`=Lq?hm-N1fl4SN#URY+bviMMAes`{_z8q1lY1)Qh$ zIW#pGzHqoCuL%}p%OPMvPrG_vs{1#hd2ebvFi8$m``O5vwT-eR|0>;%Po)`x*D-ls zss%GTCbfHeMRs2}++K7j;c&-bZ(ab*W%T!WbUx1jw{UVh^~s)4<705U2LBrcE@T7P zCVN)!QT$NQmQ^@gjm~kG>`u`+KC;Z1)%L_Tg{?S>zgAt2%{gl5a7R~3)*W1i&eGQS+e@2v17k6;%~;3YDfN|2o|B4h?u3ys z$NHz4`Fh{fX@R{ckU}IS-5X*$)bI?mwbQU9VK^qa(Q33X<2CBl6_N4&mV7L zH&eH4bPl6qDqtL6#5p%NASah4-HtMCOS% z*}vQeo+ohL&w+}&wjw*-e4t{&R^eq|#lpTfX~zM0^+ZRK?;!fbM8{)Ka}Vrej(q_= z-(Kcd8=sq?%~jBm`dEFfe*SzM^9}YES97l81?EWKljnQ3J<0lLSj;`C`{|$U$j=|M zuhMo0XSc?l>&ro>mtrRSYGZ?Q(4R)uT(^UGY`fGS@*7VzX4O68Y0PEre&&C%ZZ(`I zbxQr?Jb?n+G`Kh)?ItJcImY% zOw-y=(>|{D0?b*&$2vg4r4A8{DRNDxFXe6Q<(NU zV041xmGG$T&`!@q$Q!IV8j($HdE=Qh$s0*0<&6T;w!9%<*Mu;cV?F+^&z{@5=?s6@ z{=4yiy?enjuIIQ~@qc{{|5r;d3H+KTYcDWnMH3@19QL7L-GhuFSU19x1grGQ>+m}DLcLnnKngo2`#%|lN3uQ9qxz823IeOE1u#O{vt4)FI(RNqytOXl?DbAC;} z(-Rm=evQ8}#@Jl!u5LGyd{enkC)?y2{9$PrsU#$agT3@lA>!|@JS`S}Ln~s=K?awjR z%8V#qK9>jkuu{%WH!@07z1WFqeI}j3e?s?lz}w1MnE!vnYcTHqUU=7t--qaRFFZ|r zU*jjPn6bvZna22vm@eI4(#i4lOyMcrUlg<&AEvjh#V>kka_c5{|LqI%xyrbfak-(- zd@h?_*I~o;Omf{O?Om6GbM19>-C)f62gaGkTOBkgIG9sYY?!L124QkRn5OZ+?ijYK%KN90E!SN_d7??leaF$oOt|kZ>@Et8&JCP;-hX1?YMq6s@gf^2$qwz% zY6j)4B@TebxxIhyfEJ}+L~mp54TQ_(vB>3l@N73ePWkX_YwtEBqf54w?UcReZ}9|+ zhs8Gq`N5g~@9P==&ocgn(=K3@T!@}ymZeuoi1nEv-*+=qM=f;-&j#?BT+`57+j#pO zV|z>GzxK6^Do=H$uIwnk;HBOT=N;^=xBZxqlb1c>`5HgpS)w2HQ4iyH7jwVeKjJfs z=oj_FKIFN!FQ*1}9Xh20+V#h&0b&BJX|H6D&@s}t2mZR3{QGEUBzrcm$8>j0#YXmx z&BP_f7BK;Q>|h_yHR_Jko51y_(14@zF3$I6Z@O|q|JsVX`W1I#ZN-Fs>%6-de3HY? zyL*iD?2bKf(VG1g3%4erTU>?B**ezmCTq_$`qG6zo&TJgZ8(EXG7@$@ZQ`$2;pQvGJ`>&spYJGutqF*3nKkYf6)~r5hfAQBO)Ncm|Ih?nF<(eGcnP)_C&Ka-_X;lj1PLd*?Bi*D*I0BDY8JoW~qxAjfOZUA6+RXg=ni2c4NFaY+7jVcn)A`29MIo)awjM|2>)H0N5kE9Qsx*A&~p&{%@THI|IX z{50)X7NJAbSd#4FWUh(*(5_M^oMHpma@bb0gAkh~f9$`eofkT@?kT-3730HflcLnvz{#IjPFKhLM;H{mtO+4~rGV78~o1-OPXP@|=F@JT?EW;N1-36V)J>9$07k(IX#V z?)N7#A9lhUyU-OLg6C1riF7Xa+lL-ZM>doV0~OB7!8ggxzXq4|T{~#k6yVUBdbo<9^u&HMMeOnQDHNiz4?K=$3 zL?Ac2c4PX2IJ$P?E?D(S8}fD zZ=70B|2(L}7Of;g4?EBoxMY{W-KJR&x&zHEnlr?UH5Y1Mq?mRZtnWPK*`jHDKVz*u z3VWRX7d|$77^e-4)3}aP^e(#ASQX4Z^5N%g`M-~+eDUQE@Y$&{6WW{AcZ}IhMgsfQ z35=%%Ydp08-{3J-!#K+WXQB)3Y12p6_`I9FtQ_cX0cCl(yUj#jK9~4`>RCk}M3ByP zM8FsFzW$ilOv@ZfNA@@_&-?ll(rJdi<$wLD^{n^#Umvrc&7O3gKY#}b?y=b1CL|eG zs~w47M_-K%+12~G9woN&Uii$7rG|gA7u`E|7grbK!1Zu-v$5)p8{J%v73}5j@s>QZ zhxkdnKVlxdR&wDH&U|!p?|dk?`O{j%?^u!BoK%PYo6D%7O-YOs#(0C7*wabuWYPXm z`-k@2p3dAZo|^~HwPVhRAJu2Uw>e+MiOf~Z99Ok&gddxUq{@o&$(ihdxXiS7%*l78 z2ID^_;j@+8^sv)deGYUs`28PvA3wzV)))hq!889K7l*7we+Z9SPif7S3*E5sGAouf zSCQKjXoqiA!MCcQAFZ)uBQc--8S&liAsdPDA)a2c&hX#G70%N;v5`20jf8kNJdCwe zkax!ckIE2DXPWWtE1;Ds)@1N<%f`eTl1s)bnOxf6^L7%0lQ>}A2=zHEd2ndOi5B=n*9hra^egUs~_ z=r!+QEbU-@ruK}wh}erEeR&W2nvGLgqalOFf@8+!0pWWuI{O54_IuIUuS92WVBf1X znf7lR;3e>P_BiKR`r;HllMb1FwPhcA0&K9hyaaE~aSZphFz0CA=wj|t zj0EkWhz4cPn9iDAJam2Pv=arIci^jetdYu?-;{^_qT|xL&1HVm+|(+)1iHtIu<^<# z{fwnUE;u7kEq(Gw`ao@M!f$9cG~3pccc1iVS5UY8PBQr>XnGeo;Ebgw;Frl8!O4m| zY_3Ef$d+${kKy3sP4Mv;_z0~}+53&Pe5y7-khrF%VxdI~9%ym1>GUmJvas)%Z~%UC zLU>6+4!ntXos3U6WosUweSXd5xu)4;kk>&w=P(aA(C=%{%Tr#~Zz7jUHY=?x>p!IZ zO5_!9<=B4BIfMN;kB+*-nQddvHowfNrV0^pNkoc-3-R&I%Wxa>mNEAjU~ix;9D-wcKum5AcL}| zD1O)5M+}NBS<}%=E-CNxk-rpqNYB|R$p1?+`m%17jAK;wK--z6_yMxV=6oP)4RIPQ zd%3KNjIAo)`ZrWg&xwIoML*&7#r^PsCkiX7`Yz?472Ic_N6zFqgS+;cw5J!#*pA6` zG#+J7ts6TJ>@Hqa*>*V@q1e?KF3w-V22FZB;n52oGiXoNzo1{|UUY7puNe8dns3>{ z-R;u?@r<X9tuTUGE|oBRYcrnt%F&(GXe z?ldM{vX3!=j>bzrzD8`a>ip<{7e1$Si_%j`BXcYL8>Nd#Bd069Rq1<4KNw7JQTjpB zF9g$@m41Qr^TG5crJpC=6ijbWx{35Jg6Vtr3_MlK<*f^**Xny6-yaU9f2Q=qq#p^U zf1>mwq>)Pn&uXO~C5_LN(yNqyob-=_=@m-$=Ci+( z4;0F`e7@r0!7C%i^bK%6^%`({KfW~O*rbTItB{4f#H01HzA80p9?z!^9G+H}DMszx zr~FRJc-Nig*_KHh=?daVv&UU!!f)xT&3Dg<_G`bkJl$w)a1hsEm?u!NW+nDXF+F+E z>C?RP{xU!CZS`wbroV>u7V~|8Z~NUznf?OGj%A#vee5HrbmFt{Aa}!4bIT98d-%`D z$n>-Su=;1zSN|DpVm`0`%s8zc@>=zD60d@`?{{9AWyL?W>&c{^v*leB%ImT7=4GFj zcg#2BofFEt78^*b-kF!4mN)Jj@_sv%*Rb>6I{vi0{j~XPFkc_a>qY+)j!)KsXU%hU zC=YOMcK*wCe#PC9Prr?$&Tq(@Vb@2Va?WiG&(}e|T>8-Jt4Ue@e?3b%E$p$&{@MD^ zlkJ~>mjATxx6%G@#-;wUv;1eUm$=#f@4Msux1Qy{wfy(0{U5Y+<5~VQ&?#*V{aqndK|D-L*dy~h)5ipOK;rMk`=HMp+OnYXG7o8t;>yN0Uk4=(nvLv^hRtLyu!i#k+SBHxGf zfyI|N=mYy6KCtgkb~yexd7teAi+=Ky53J*?KCrHkJQjXFP%OU0gZ*FI!IyC2=DGto z?Y@vaBspp|xE79AgJav*DT}g$IKIciu@@XGzs|T+eyxdYJZkMB9Q|EB!1yc&+y73` z2N=KKQ|*_}vh4#Ld)D^b^620*jAEm94~YZymD+Hza1f#a8wV-SKoAF~{Jkt3Sbcvw z4v4d1<+pGU^8d(o1#u}`o$sLA`*Nw_|3`T4S6AiuZ{K9A3`vhbU)hSUH)4$|+w8yb1VxAP;s%7$;7Hb!(2l zDfEAM9lsr-j>@n)(3_r)f9yOf(9ser#j2+qn@>HP)G0Y_P`#V;U6=b;3{fwAV9meb zeK8}f-rlr9^A}qmxc0T z|EPM8Id6zQt={q9koO0nyu=p>=AAzBw7jX`koS&IUXPu3=D5@H4kzzbVg0iub!gmq zkV#)=9C^W+;knx1be8`*`A_z)_PAMlmj7yyNq-Y8@0f9YwExFv`Ok$uX@~t^;Yk0A zv;5b>e{b0T%^2ser2^?ts=9gN)mJ^ul@Qg@f_he3bL` zo&S!G*yNpqZ=6wdKj*qcnErvKt^=Q=^Me+`#_joix%hl|S*yC8oK2y%%X63c;S-xP zZ@&!tMq|-f&W)`X{j3Ypz}@7(JO66-2S+q%ELTxy`LHDa@~o8|jm?{SVg+{6 zN7v@^$IN`RWBMs-#E44rTfF4RWheQ_4Am|AgvPeutCN-&%9A&NEqLrc?DUDt{4Vxo3}V0)^Cxwb7qlG1!VbU6Ioq;2>=JTf%=?k7e(qJ@-Q6_&n0z{mZ~pE9q~&&)tz>@!fCpPH~gzpH;7Z?>hfl z_#pA(v>vzS%znzR56vC*%pJSJ=8o$_c|B+0yB~i;-YY|S*TOr)>+Af6JQ;R<}_W$s|EhaoHx?uvp1dPKQH|A-}%qx zvs2IVUkm^JHdvm;XRkfWe}nn#l^ihI|s=|=m(`+`x&~y`jBpLBYxEO*?N|a0vde>{lrhWkNV|Et?M@5 zwsfM-EMF!4o&4tl7oaB$(JQ-e0qHR68&+=HPK?nk{KTrUKk`a%sIzQ)rUsVdE0^Iu zcg@km=F6GM{@$1erms;vpR5x%JTd*mbYD}=V;z;>Ywj(&w!JrN%+X%w14V0MPZT{- zc%sl(8BOd4&e-T4#~O~hZC+*Z-+!Ly55gop$$3p%flKSd7RK&r|G}q^@U1?yuGQYK z&S{drwARN{;FUTvsd{HdPZMzK{Mt-&^hsWs3Gb1NCEha!zkuLAc1qJb_!kAwP#^8H z_H`ffY-0?Zu=r|qI8PkY^cwYd@lI_JPkbW;PZu;MTrLmOrA|A6oF=&*{}p^+Px6Ug z@*szeJgfY?Q}gf*(8~4DN&&Qz53S^}KO2;vpC|wSTY4$}-=LTI)O$91+0ESae~VsR zz;!ly`7YmVdddC>XC2L!7}rn(y7JzHH{f z681h1N*2O)U=I3=eC#A=vOhK>w6}F>&V)7ceJ*4VZ6$p-cz^sbd(`>ZNHuq1AJ4w; zaCBSy*+Wla4}Cv-=&RU6k6?dIyrDTSXmfSY9B!TU^b+<~i`f5O#Gc(n*lXTS{mY!U zr(RrsSN|}_oxfO?GBs@(_5$_PJ@;pGQ!m1n)9=>56Z+-59A2mVZU)!kh39Xkj)l~* zkUAo$qnxq|epZ$mK^dzkOZU$xOKs0Xcay<)m6eB&M=ADdPSOdKQv^QZ*z3#8%wCgD zKCQ#M*cYv79~i0qxS`^>O19BDxE{L%CwO1Zo}2T52cEc+nEK1vkGq=tc878N2ytwU z^MhwiIO(V5ckmzn-{)EJOV0B-i02`==CeQf4E6zKz$sr9wIvc*m(m`=+06K_5AE$2 z^Q^dwI&Uw7zR{j)EPc~X-^9^3?evXL_6;GtIq4hiXUl%f3oXQhw|U@g6Z`59RaEvr zPrc7M??@e2UfI8pK7a0lo6_EZR^D(fOnnZ!+YQwJ(9dp9eW)VK>YImJxn9d9Q!;&A@-r$vYEx zT%2X6|1__!)i>xyHofN0g1$c1-Z^x>j(-Nwm8|0*)$?a$Z z$Y03?o@{$jcX<`Q1$U&H_yXECqj~HXw9rT5Y5(vQwrmb#(hAzsz}(Oofqgf!=q|pu zr5k=9@IM018|c4QV3zGvA+(`(*=1x>1~%+h*6>dGfA{6UQ(eqQS_|j#P4AqO%Ts?$ z9S6}z2!G0Nz=L+6Tdx>H9C_lzU8?ucO$@wuLwe?#1k?2IrLOV(S3;k^na}mEXiUdp$GrIPY@8I?CXZABc_P zVX4*4NmE-ly|Jq0#t*rY9&foZhifV}=+m%4zX^Z5oAJkM<$S@zT#4 z;A@d1+jQF=6x?qDR@pOR+lWnLLi<>3iA=6J*hb|$z4+PYrMVf`wmm5QV)<(9V0`KQ z4#sFWzBaK&6Mp8)&jKAnJbqO%*z{!`f8gx^d>9&VK^Jc9 zy&T*lxXWHwK98bl#Ta*U9m0kv0$<0dA$%Rj;p>=#uj9BqWhE2$%q_{;b9>3_puS8?0Ur{)yq3+$#)pGgrb2-h#cDH;TWLu2Ao$S(TX>Yp5 zW{78Pz;4A!-!%f4c+f%06c5fu-(4Nz!R`2{RzgGZz%`yL{Cv^DvFO5ML(A?@^i3>l z%kEEp7q+j(I^YOjdmkN}N9>BAoVo#6>~TNTKX;5aQU)R%2YRv{#Hxsx-#0swHCYsE zvtj5#qZ?1`H2vuKg0U%XJH@lxpxu$s^sjS>wGe85A73{w5A{OjY(s96kMt>*c8;K9j+GKnnvDdcz z@#w>}2>kJgN5j5iifouNz@N^)c<2&i)&|44Ivke1QL?WX(RAnw_&s&SA`2=`$nO~| zBN;2dXRJKMSUE<_>0`{9;!VcnMX8L_6PcNdQVSWME7c$Lok2fp&%=mBj&W6{8b7N{ z-9`Uq@;=Ro>A9Ksr?#I%6|!IqJ~8d!#h$0e!vC?IvF41sm?I|ge3><8B;reOqve}z z&kf=8LC`0da}ib@z(3%?jrm+E#dyjd7f>*`BtBymvcYxnx(>%?u zz^jDshe@|V+tRDHkA^pA;;TnL&F5LZo4dh(Eco9I{vQGVc_Ci48=BD?rztCYjbt>* zXRV?a;3h6_is(i3`Pas|Gej5jKOLCW2`%oR&WnMGew}2))k|5jJNbz3N0~GB@J}2v zh3c$h{UKbvz&Kbz9~E&`F=u+fk(;Z|nlrzTEu`j5?$~wO{w5krl1UBTOZF8GDw%)T z$4hCU4$My_x2dyo%YCu^j6v{60|LB1K3Th$ivZt=|T0ryO3RlYNy<{SQ1Jo_!WP42mw zyDjVFhRHew$Oe~v8GUtPNY=?4<}7g`>zHqsmI$s@Ttmw`9mqNz$T}U!IvqC-+k?Ly z^KlaMaWeDqUz2sxMC+Wly%sv00h~T?!0GiKw&zUwEah2q)imapsmwDsp!>TXpNs;0GV|V|)KySb01@h@UI-OV7Mhp;@@muW9syWN}R=(-1-SNB(jL*>A4sdOY6XLHlU7|jta8KKi(k0#bxb}hnUvc|KZ%aK9%Q=<@p+<;B%fxw z+s4FR$eP29t#t8DXS?Yv%T4Uj(%wZ?ytC<#zUGXoQ*aM%*ILRB|9&=jvViB2LGWy# z9?6|Wz!L{Nv(30lgLkq`*r;#QGkitgkw1%B)kL~xP+fyz8T?&%awZrzV^_MU5MHEq zX2Ca$x<>fhPYfi@z-O`we>Ja}_Ktj2q(g{-7iHXx{^n-4Pcn4IcY@EdE6AweAL0pQ zxEj|OtVw=Nzn=|HgYYoL?w9`?cu>1f;=#f>IQU|O--qAmP&iQBfqT$v34hg}ob%U3_x5t(4f^9l$x=i;u{)~6a`<&=eGbm5rhSIgGF2=`{YJ;<_xb9_~ zST-NXLR5|MeQ|UAJXYrimQW z34R@%eS1}?o%&Dz7{tNDhvI~R|EZVzP&&pS4WIIJvvrTa8wjVF-QY&FCKx5NW~(3P zYiu~H+QF6ZkqND4+?-+AoVpC-L^!_G?(p&|X|rA4Y{pv;b6Qq~%5zltcvc<2KC6&@ zW!0%M+0LAn!FWt#JXYx$pC|mRvYhxWIq`c^o;cpie@kmiCws~9(309HSnP6qz@EWg zlgd#$GVrI0!Iw(o%GrevByFKT1IDd$`kBM5c6dW&=$p#I|Lh$4f1BFXz&*TeSz&Dx zOg`F?W$_VbRW{Ey9PPp(`&;5KRXk_X9_Iu1zm>thOB-@VOcZ<3d=vjCetMuDUopFW zyG=^RaAuZZG0+(aUj7v?w`ehU5Nsa}>c?WiuqfD%vT;#)nedrd_>A-7rZw`zx9Qrh zbM~OVME8EOFV$YP#V#{W?FuW8HeoB{?m@V)>I$ckm;~%=&}-onvBgb)ujQXi{@1(Z zv|aJ+1fPpFmM7FN)q`N!9R`c&s#tVo;n-2t18oStPGH&)af+_8!{|z5Pjq$EqN^C6 zGmn@ce=iNOMi885qoHu#{MX>u__yJYzLH2%5j)gc&o(Se^C!g97R; zJ_#Q$O@nAsG-LCYjW$i5CRYQ!>JM%Eqw1FV^!AJf#O*|23W> znzwn1;6FQ0Nw<7Pg-6l8aIAZHJ7UB5hiKS`?$4%yZ0P~%e-|*-htaUwXZL@cof967RLn0Yn#(!C8qa zANk4Rmq*9`J9^MF?Lld$<A{$F7C#x7K=_#x1~Bd_I1mLyYm~qInlc+uk=xo$ZT2QQ97r} ztc`1mz+>f!fh*Pa?g(erRp&Z=zjt^7U%{)piD4h)*CVQ2)PIs+!$&VnVU3JEcsKLs z$Ruo*@GlpxQm{205oIWr_=$5lJ1ShaEZZ*|UY*-|wr}D1EDGa&!l(F}&4=5;t>#ei z_%rx%UXUNF-9zzX!Mck!4#ksg8m7%wzYit*AnWY6WgTShNm}o8Ql{24FQRWqqyL&u z_Su=TNU*=oeE<9JuiW+pdrKSOGX}aj6I?$$0^J1h1Y~o}p0Opz@2*51BF512blDJ? z{^Fbm8?$r1)mY4#pxL!)eZ>#u_hoZ7sB~J=Y1*(I!VdOdfX~bMOZK~Z(oX8>z9nOg zal+A<_CRD~3*|E(ZShmLaP@X&bfAs1Pbn|C?fW`o_e|J>eR}45`TJE<&e^`7&CdE? z!SPq;*-Q6<9@{Z zZhT{Uq(g>I2agBaP7>X2hx%ZEI1JsyGdtUVLyalBjPNOgOPQx=L<{|Uu*d=4m$*o|WnNvR|lXqFX%jVr|-c{r*A0wSmDLlYQjE_vN zIFo<4=9#fsf2LjY_ zabY-1;>r+TI!AZmBZj$#wjYSS&@*{tRN%ov~cshq}Z9rfpi&f#O9*J&*N1u}qj_Lw~; z?ETHb`ZmGbg%0gG>XZD}O{_%=&M0K(Up9;xtmivh{wK*lIIrf_ipT0Yc73s-H}jw0 z>|K8BL+jj&)8Bp7o6eq3p5l086BJ`CP8E*2cP<}88{ns>>+sH2{|~6&@XSf24gWD1 zj=^ON_BHzg9B2+Ph(j`-ax^Z*t2R8Ca=w9$Tt*N##7Z%?i2u!G{_2TH$=dMX15d;l zPG2Q^M(FAfOn=Dell`;w_S!GezdrumE}qH#JjTJR#6w!m<*mH8Prer&$;Rq;$lu^N z&x(~69P`08+den)dmie24LoTuKQS1anxBqRZaDw=AelWU#>eM3Zf}%qun`|KWaDJZ zP6K*2i2E3~xU#Pb{wsSe#UZ!sL0S~cyfig$PiZRS&5DziLBAUKqbo*Z-r_9FZU@~! zj|s1c1=cwBhd96R@s;d9CBhqqdxB@8tB&Kyk)m1RJ^N+vL%ajdMtAnO*vCzaWlxx~ zA>HUjz@-1yEuN^jwTj2&Z{YlnPVgADcy8ai#S8lzoWy+v&(BlGhxFlR*vzyN^Y)&H zJ$*~>TiBnstRU^fP|RD|u&G@~teAsIO>vaHp0W!Ta|Q`*l-;Nm?|<{MF^Yq(IvWh< z$@RU#AbLy`@S>I9WOUrlnAfL>N{IAl!sKpEWa)}|J_B{-| zKQiKcuW;YO{UB$#&bfTr*AaYs-pe_4$TdCrLTE#n$y4r{L^R@Hj0I$~R`<9Z{6kBiWm<+3siczj*&#jD@y{b2Ejy$>y(*r!;eX^!L` zgT1vw#|JnICYiHdhBt{8o?qtaYbAd=ak5&=-RidkX~fOT16KU~Mv8xaeq&IVEFNk< ziyn)iCurvu(PRZ}%;s5oKk<-{B79@Ki?bEOk2%TNgHOq<8H+b=T>+hW%jW@qRex#u zrTtCJA2$(8YXSB_Iu9v+aaG?z_D1K>mXGQ8izx3+_C-H7lYGgvcOvoH{9HN6Fgmlw z9b4Tz_MFyDQDdr`qw|Rm+}F7vpR0^(8P~e^v8#$4^}W{j=Pa1Y{qXx`3-06|`Nz2n zR&lp%8nK_WV!dL=X=Idf-N`kVYhmg#?1nUVSvJSSc+{S9ZN-BAIpqubT{Zb>ng^@R z1PfoUfiK~O#h7(2mUI+ZKV*LveM6NI>zn72uA=6gPZ+1Mw98bCS^B_RKB2#eJx#{( z0p_h_%1l;F$(i7cwu7&``jg7KE(Zi8RZ*>4akSs`|NN+mr1RgJ{VQq{GsRnJf37LBI3plO6T{_)2f#U*792 zeDgzm5wVxZtVr#wyt3bb&*52PK-&6kj&I0^N@>z#s3l-W|)?9nyeh2677*>p+4H3DS8^#(38b=T_ z9a+U_Ima)##er@--xcA{13xE*vz}Qxd#mPL@>_d|L#-3PK({3w5`G#@%vbvj&j{8L z=wZ#=cQhBXPTZFEL$guqghHcc+epTSeU=>Z^6DDa7)qP$c}6PD8o*8)N)v}I*ast< zSld5U!}{PIhi97&H}t+LzhxYIhvzlD2F&%t@H=GQtj7jqgYLvgF4z4WV!;y|7TfqC z^KK7Z|D`R%Pv5H_+LO%JK(i!*OsteuLJIXVC?+UXAeAH9^rYpJK6|b%ULWsCwS@O zdH8;vXT`$#09oi9e6#E7@*0=Y7t$B}j`noM8IzV$#%%1x#G|yQm_&W$YdKRE`ZtKr z?BJXP1O6P&uMJ{*I%vP$P6yYbHk2j^ta7V!Y~D`(Xu<~1&({&1XN%YGV8R)G@_ z>l+KsM?HcZw>1Z56Y*1ruZ>jB}HecYiZbQb_P6i~ zd*9fml^Djdi?Mv-{@{GCwUX^8z79U(gwJk>`&MQK{kdUh>Q*b?+EY9rEyD@_s1RBQR`w3LJB@8Wffrf+iqONKsLOka5pYJ2@)?2Zx5SIO^p5fQmCb8_ z@f5Ea+0@AQ@=Joer5xH4Z$ZBjMlCIF3Z;1;@lW_h$Mk*UKmWEWC(1EMByBw8e}3i9_(BL3l7O3a%;M2A*o# zD_%r@ZP~9hZLJ2r>MZGB!uU=>)PYa0i6d@oJhn;+*vcj{9}j0fPGUYz#+K=i}; zXA1TPQT`7KjKJX$5sjJ?GT=EeT$+=0M(AML2=Fe2^Ee#w8Y`ok)*89*d^Q%i9G(-2 zQz|U`!aVfi2N@5=(vJ`K1ops-G$vzM>-J<9G$JGUwbo%xbD$;9n`+6Lq~RCn4NrbM zj^1aM37@dmJj|o{JdfonW312Rp3nJ98uzl5S3FJw9~P}OMAuP_p>Edl@{?0q^>h~- z+a%`}{>b0qocf#IwwyP6H?#%k`}o4r)c1jN1TfaaGv9Q~N%g@iV~|;o<{FBr^77Ga zbOzI)Io4OwAH?u(%rnR-=d*5K$9;mMkywAhXU?>9mhlcBTk*{ex7T;nm;Fa?;rnm& z79RevHx`-Yizj~3aplohdY}B(uHG*=Z)^48pL9%m^qJnzC-3WBZFcv5^`YbCU;p%{ zy-x)`?ERk)jhFBL^21)WrTZ??P&adR?SH@zFV5w zHLm5lOR)pbBHz&~JhJbZ)IHV{h)0hM-%ZZI-bwn(&#uAF@n_hGy313exYz6eUmuz; z7hds1Z^lAGa z>-*~Ye`R~P~5rBBvJd({pP_OPNK*EnoLr?H>O ze6l_?4`tGBy`R862AMI-9AVjD7eI690ot>W!G(ABe2?!$4;sU|RYGjdU(&a&)Th4vRtO(@2VYBx1t-Peq?-2Y zEaqZxqIHSV1*D6x$t)(Vyn2Tph}M7|E!c?0ful>iuv@21B@wZ{9h}*+GuhL;z>M|1 zKDxU3Kl41zkMewA*MrS(9jI>p0=w;;KmK6BEnIhVt>*dx=RLlJU(Cy#Q}xQeJ4?3g zTUg@e{Dyq4GOlG@iL9k|fZJAZyA#~L25yVMZ8L4lV-4~Vxb2~>e+CYnRkDt@Cet>- z3?H@bR^0ols(zE$_vu`Rv7MGap-ktcI1AER9C>L*C?pA z+OE}W6MD-d9n1dn`QGcB-tL_n+1>kG`NJKr7yP>S^(Wry zz2WPxdS45{oSqhhO>lJrS2k;_^oZ*lz3^PYtoLf0=sNse_g&2EqlwmzjQ3fwXPfxi zE1YHh<&B3*XjbWP+(+Dt{WSD!e=GQbF{{dqZJ)=# z>L>jl!MPD}A^MJozQ=QwK;xf6TQ^0-`AqZ=5$AZCSDA6Xpbo;*yqV|ZqUz=mw|JVb z9D>GQzI-_L{KN5s8txk&G2HiPL}L3Y zzPpJVpN}ptg1h*{9G**=AM!~rPA7Ump5t$G6UZq4!%k z`+L8|_!qC54}KD$#ZREc7tF-=gV4bL7xfh2clQFcxer=X9Xp}T7Z~$)y1+`uo=oqA zHeY}?PktxeY{px(D_n@acS5TP&}t&IIf3gYF3o=|X8fgGhoINP(5vRZ!}vjcFuHZq zkD#lv_wQV=jO#hBH@JSuyZz9y@l^L^H=)=j5^KG;CUPd;3iPp6Tt!@&Tu!c}h$P=*5yRVG z;vW}h3z=MX(4wI^je7xU&0{-w_8NItar6Mw=(xeR0jXiT-Q>O(=Yw%0Q{>I zy8VCJ`xdw;i}n9`cb7XV-pNeYYiNLYP0I@?peOX*wX`g;E1AbbX=Q4q9gmTjQkb`6rAGPxJ~Ok+%c|Ay{LcUO`@9SD&V1+g&OCE_ zX6BiBZ|X6nLuc@y-m$<}f5GeZ*f4zEO|OmMW0tr6zJU2TrQ7;m`M#Z_Upv<|S;qA|Np(7s`(Xf9rf}o#H+N#xs)hbUwdpzSa%BT?Q4wN zfnn%J?|AcE_dDM|m;BQ&=SH@FZr{imubdmX_>*%loku?kzW*M~tA_sTmvd*)hu(*N zi0b#;3s3GFv2y*n5rrS0>vHOsbI0Ny-)G(a&bea=yUxw~0rkC3|LS-DeD+)t;-Gzf zYQvk*Ue#@w+Ap!3|{Y|KMH&JO1}IzbJGvOqlmyT2#w*jRS)!m-q8v47!G<^K#zGC?~?GIk$BHa+_A8uJ{NZ_Sa8>Z z6|@%ng2Uy$phfNr&O7|q_63R0UWxqwi2SSP@iiE8HlqD_&#{N0bFk+_`}8BAXidrheI9hW=f<+p+JX2sI#)>RQ%1BWjDh@HrYzFgA-u}mp`h}) zeZlu{I9EIF;JLLJo9KJ%<(M=5g70!Q0dH9V`HgDGZ$v?UV?NqExyQr(G~DUikL8_k zPf-cZSz^6My#_@7Xg|`s2IQMhde?EV*2UW;)`h5D79y`bR$;D-_RQzGDc~8gMnK<% z!dce+VR~^^()-=Fh5B%QW|F>FM*Ci7=-^Aae1bo(Olf)8Ztn0etUKjkZRvYc{Pwlr zMQ9BQcaZ-^^LVmTKsTe&(V+_8b|-T#$2gCPJ8FhOCM7%^c|{o^>{j9%Xzh{amb7Pu zb&E_p>}Y+ful;iW(Z619ds8R2_#}8znx8yB2j8GX8HdBJ7(C#6z+HgH0&jr(Y;wn* z0P(Q9;ZC><@NT6E|DGA)4{+Xkj2Y+op<Z))-BTgTuog#f z#h!qk_5`q2{Q+`p)ccRe2xA@GyFW?kDaSsXcR%tlVZI+pdtGhT<1FNp<&e*MUF;F?JPpSg zA+aCXdi@Icr+r7P`}2LsDAH+v67oLtvG%@}bjTuCLpM@BKofO%|F!=`!K@Xn(NmcD zzh8cx%;!+{-moa&is3bb_G%vZKsp-l8R%)xAQbf|4D~4-dj?IgXV4V&tQqQC1nOOL)V~(k zGr+#V2L{N<1g!sdiEf>Dzu=dK{Q_RL-ZayGLC=9X9gbozDIT&g!N!~pE3rn~IS6x9 zUpsEg*N86Do&nY&qu_Q@y=MR(Yjh{yzQAYH2VQH>0A>4c?HRN~U5@I7HK=^-2ce(Z ziMjuEnAhJz_E27X1MFK$drF7eZA}8phHUOt_ZJxY-1ts89VR}T)1eM~3$@cbX4T@m zLiNZe?Tb8)J%=Z-->??nL$AFVdk3`N&?R6U@lelTy?r9q+pouZ`}J6F&%yX!)3SU> zFzr2b#GVBBsF0PaeTbLXx~3Q(nnjd!pmDpVWBCxG7sGd>W`yN*AX$n#!&q~^)<2kK z=X`MOwfZvhZP#~2 zJ+JA<`dzKAb%8&MdpE|S_i#@@E{%bp%Q57k6Y@Z55bN-5*Kb2So%L9IM|pn(xd&R$ z?1KJZ?dN6qq5Q2zSiV1gbNoe$%eO~fu@m=(?8LnxJ8^Hw&h#tx$a|rWL74ZD7l!=O zKKVm(pS&FRLeY2gddPip^?NJuUTQB!%$+G8_aQ$to}5Kmx*#nfSev1B^qyF^Ghxkx z?B`-Vi1tW&U@e9G4uicOc1EmygkU`+6m_YtBibO+W5(Kt1>bA;@n2YL*a7t|6n&4m z6TZ{l1>b4M8X*71YaR0OJWI$?j38PfT@iSkDGcu^fymt7}WXIO-@Lk`*{ebv~do_C$Fi zAH;_(z&l1`ecAgh>oBZY6CXzWryfd&y^b!>J3}8X`7yr7l#f0QYwA?j>3jn1r}aR6 z$r)kpKr|f=JCe<$IUBy;(P|86c@p)d2z=1H);o_J>%6xp4`yMKHu zejUC41FYTs4QqEVCCuKmC1uA(_qf@cO0jl46?2hgP}`xtg8G)`UZ0kvb^CO3TJoo^ zv;##`PLNsb1ewK7kZ0@^H5n=o%GH7B zz~?HU!w;Mep>^tc3e8dI&aG2e16I#d?nAw>K+*ixmAiQE4%PcdT*pz%wASv}9tfw!l*&GXoA(p6YH3=emJhZj7%dd@-q zIu+#dx*d->%fx4CzuwVd;qJ@XXIfSb;dK-JFV#(|lOLeppnX+uA4UDs3up(_)@Z*k z1a+Uj=k9H5Jbl=EW($itsM}gC>V6c?T+o}gE>0riOLoajGLcaP^d0*;#EP|tz}t@nFO~|PYz%n& z(U1+ig14_gGJSlsSKjAZXP3}U_*wWbZ+m3>L3|(g5bj9(7vvI2R$al^+B}dgC0@Mx zz9BT7fO>Fn)z3i~&s(l1o<9iwh?lQ=x4{ncMIpPtBj}MSi1=RH z;{I@_xe))R8_qNtQ4gwrrhC9jFW~&jR_}e|?JyP)uNjYVdj*|m!n~mX_pQ>|s_o#1 zFF{Uo)FO6)()kO@;6udmCge$@?6+K?bW)t{ly(cwz>U&y2=sXqyjlG0_$8E=kKl)B zQ}spA#e~_jmSDep>3h2C3OAwNQrHyzbz`W0Qd&v2-lT-^JBPx`Ceim>U;h>H7UGQc zO-OSQ?l5>BXFPB|Cp-10S^FQER8)yJ*Zh%5(Up|8YTPYT{c5xAvma9?F9fX?;agpF z_sS#KcYZCrJhS@MML2_wehy`}+MBLZI17hzZ4G<6OP$=Fg&Wa+8)#jtd%hjTSFmF~ zzM;;}eh*A;RX+q>T#7hzT4Ya;eE*?#-ms4%ER{*sIVxij-$SsQjW85f$0f?-;JFQP z5w1EObkX{B{G~`m#6xtO>5b=zh==T^{#iUnMLaDLPc`bOH?MYttHw9CJ1Qdmlpp(j z54HOU-{m&J?gvU2^eSEO#a!g4@0^F*-TD^hI`B6ibi_P5^LAO+s=gR`aW>);=QJ9h zU-g|&(?yP<^FYTyf1n*z zL&94xh{7EQQ8>#d>Tp|r)+7h+U!zU&GKMTay=MTvH%ITGb+@a{p}p;w%K1ys1!r1) zZMQSx`zviX68`+#F5(eojka5ZHb-UD6n4~hsjg7FrS>}yYAxy#Q|N5cl`?LBbPqn| z3kAUMdU_o7`$^ER9Q26?Eq?(W>3j}-Tg9J_ZIBM~7ZTpaN5?PV?`xf)Bc+q#`WbDt z3hM+^@4v?VROO&83ujx~BJNT4EYZ;{F-E0Fc; zi@dkN9ToF)M_w%G+~%3K-^AOWLbzLIOucXk{YWkPYsh^;W-78U2Yh-k${gkO`mG38 zi~jMUUAUX0tZya5xyy@4hf!g#lWY#YjgSey+tu!8;SPFlovmk+gIhk|E;yC-XlGy- zjWce(K;ge9cbu`EPx;54j-j}3h5XjFc)nd2{D#6Wv-h~bzyGIeU1!F=AI)9p%u+D& z@O{hj$6oIq{LBEnoAMK^v|P~k8%%Q$_ddkUaHgsjG>e?TdOU=81Y>N)_oFXRyhhN8 z{8htW71la}(GRx0hClaxy2U7y=I`lR*1ZpYk=hy7HCnAezw$@lPPkef&q5vH-!Mj* z(%I@d^!Ke$&#yKP6d=vsae(R%$^2nqWiiQ7*I=E)e;jxN<@XELfNCFQ7s`<@>TB(Y zV;dg_ZoV)Bb`)n@r7a%^u2#pdmS$vlFWq5A_3&|w8{WD|?PxIKq`F^@apV12vzGJ+ zzN~A_#|qK-!xj?ae9eO7k(7iS8JGgLk0by({jhzMO#bS15~{FmEKDpXQ5o#WTfyp^N$5 z9h+Aqy+0%d<~atIt_xu4bD<1@ES>I+4VbqwEpXloX+iT=rImxPe*k>_3g~R!>a-VO z{si&UI_YJ|&@r^DI+Qt$jiL7F%AQa(rs7O2?>oPyc{}!+&NgG)PeTrq_Om}h{R{p= zq?guFPeK0j2b|Hmgz~O~iVg`~un^zx4lgUJd|nAFT(D(9JBstpEl;=mS{GWVpfBis zXnJKR%H*y?lP}D~{l{mA>DK*tJp)_8S}n(%X(ql~_K+TOz-4wy&*Vac2`%eUxeRWR z7}p=t$8X2C0x$N(IjGhMV@I3e@}L>4#~F;FYY{ie1cuosT>yWBw%hZ&$Gy` z67%2YVfLPtJ$SzPJDP{udsIeJ{PmZ&UXS=g4$Y_>Cg0r_@m<87%-@5zIfT016aA7& zxxTO*bnJnCiSBXkN+E4SJa0aUtcnWIM`|({;)c>v5BVE@a9W~SY^0xjl>~k(% z#^-^+`=Z=WZyUbu)ZY`NCjCZ!=O*M@ONq zjzpbJM%_&UKMa}jx#G^ntF=LDW5L0YB?IlL-Q9z{(0GXPo}bsR`6%dOE%>H3Av9*T z;e70P_@S||<`d#ggk1*gYW4+Pq;c*5`rh}z?-0+5@j9E<`sN3+?X#)=p?!n`*Md&p zqZ|rR|2DQjJBYw}YUroYcH-dP8!8z2QlR5r>ae|Ky(^6vYtG`m9a&giIrv9bwx!aD zv)eV`Tge~QHwL~H<+xP`nfIe*FH{cG>FVM)XH8E9z4V6o?VYezpLp-AB}Ci%>|HBY zLDBasFxF)f|8cdx!2j$m`da?I_#C7^2jg%7`T*i-Fdy1Se5C(a+?VPH{Dy?L@{Psf zToc9~r0XWQ&&IgxJ@e~5LworH1$~f$a@3(b^(a>Z$~ORg5bkZBi*KsQvTK8~^OnOY z$qP+H8u@qEUt6@jH7~o?yzGv{oywPZQ!4MHz`QJFIUWI~ai9|AxTGo04x=22huI0m z(05!$8E(LLcM5jn8?K+C9ijZf$HrF@4^QI=^$jP{Z<&p6&FNAsoblU{FISPv_Kb=%uc}i&-_6gkQ7sghWAPo`F zPl2AFOp2kt_Us&)2AqpQ{cgFw0%;(g`BAR7UcZp*ZPw!~5A5mOOfu?N66#ta>f8v_ zz2WFX5^yd~+%^8+Z3`uM&mXmg0=QFK$U*-=`!QC+m@ns`Um%S3wsbc5?Hurngzq8@ zemmzQfhQ0~pOy28z}bY+Pvz_rID;_yshl4KP9==FT+S(hM-j%HFz1}W^v(O(n9JoH z5g2^;(%G1k33r22=px3miPQmD_} z{L%cUCHiyl>04W2UE*6d-ekz3X})p(5Yl+dj8csA z?bd(gqi1BJalRVk{Pk!r|Bz$+SD3RBe;--oom2GZWBdWwqwKeaU`%fXw`#=g&y!Rm zO`-OwlxOfCH($Yze1X1zX!S?Dy|*3&qaFlDcsGXg>K$2Roe}eBeOXTB2z*2J4E&yjUj^eB z?e&pAl7aaa^vuQm?|Cz4Ez#NYD!bWVtV}FhQ#oh4wSG0)>@L`S%?yQ`kl%dVlW^kv zto>c>H&(8Oex1&+U{Fx`_CdeQ+TYGzR@n~rdi$WtF3hmtm||G)oxWSoH7qbJFR{Gx zL8$wt=hyGToeW(j<<$=lPw3crQuq2bC~F1n_@AI9rEBH%oO&beEn;6f1^2MidiRRy z#`?)2Y(ZRLe2-2@!!Q<6_#@;&bZEEDk&ZZf@5&L-D-`_#1Nw-0FbCMJl>xA4;KRnj zz7x~!)+Lu$c7d`W4Ra=0>W4#r!Jb>+3E%AM1lgN8le*NuXYYIgyd2*~pCCN(OFvMVAivkD;}KXJh`_v_={kPF&FC+EX2@pv%s8LzGeefc zXKtf1w^NxrsLY*x=DiW!Rpy>5bF9kTM`a$MGT)*y4^^3mtIVTS<}{T#Q)RwQWxi8o zzDH%wRhjct=1D5EOJ$y-GEY~TXQ|Bhsmu?k%nz%~kE+a%smxEP%ulP#&#BBWsLU^_ z%5bF9kT zM`a$MGT$Q1%_BQ@kLfdDa6&R0lX;JAlG9T*>!BsjuYdi`prD=iv*6J1>~L%Nf9Z!y zTza!ab~~HIrm)#;0eh0IVz02b*x%WH_BE?xzc9VhOu1gUQR%A;Q^qK_D;A{{Eg|3+ z$imnN=D-E69`+nqhduDyK^dYj_A3iPn9eX+m11RzGFw@yJguxyHYjhv&ikuhcXr>{ z+>Bu}TD?5-o9Xk0dF^YKU?jsY0++q2e*=maJay=`F<9!wFMd({Zx5dT$Cq>V5Bqoz ze&OzTZqLrhc%r=cJ!$_Q_&?R}%&_N9zqD&ilbP|y0}hUS>E&a?a#w!Q@ASZLh6VI% zK49=Wmxuj+VA}WH#|@6>ffha;AK5)CVAW&#_`4SE_$g}U9r1nXcf%^-?t5>Vz{ZV2 zkNhc~1%|gsOwVHN*V(_>dDn@dZP<0~J2HJpcrzZe??I%&`V3e~hT)#E5eSo&lE$(V z(qPVJ3B!R$rm?JXnb|BgeI!eokiinjM*?|GAb&7rQ=m~4dK3jEQ}!tG-#d_}bFOsH7xwPS zF5yt*%;z3#(@KO#ZwzK{lxA;Sun}S4rGR^e7h!-GuZ>3-5O41|?#b=3iKt7QQ(+NJ zxx2O0QRr|^b@=qSTjOrMm02csv);`-Hdk>}H*2)f5^XGuHkL#i3wp2;?o`O11^gLn zVX;mY>vpoK9+q#h7-R6Cmyt5U7?a-D*v&2Mii(Xf?gF#RW;Mn*VM`9iUOkP*v1Utw z-C;A1v^i`pvj^@;83}1g*)e0YCK!|LMK)uMG0|yEb9#(PR=da8vzIY6)Y!%DuoRVA zZN|aHW=}zE!BAr;{<@SpthPMk?I~%A>9=Q*g*}ffOt9(O2iR!r0!*({`LQ{y_B@qm z;oD^Ti~j#o+`gnVytg4OiK(fmt?8NBMw7{EvlO{YY?df%Q4#8b)8*+wNwXEXZH>~? z5Qbc34&Y;o({42y8(fVbW4_IkVK1>|g1YV~tFts0MC}=E{A;Ejw_ZEeY_p^AKOZZl zHED9Gz34xl*8hC0l-6XYtGKkt{8vf)X9WFsqLW3*TddvT`LC2M^VS3ODg~0_Jc%++ z>THBjZOi+hE3J7Sa}{g!b}HM@tGv=Ut%q?2ui-A6r_|*zMo~`)%bSd3h?&--hY{Va zw2bjt-fFxTp+w}yhO}N0UGLa9gr_ca8uFnEqsqxu0`=%(L?+p>5V~Lt(96ZDr7aP~ZD6SDC}DvV{~-9B@n%3Pu{7fignM<^8*!<&sp_f)&bQV?b5 zl(li}zg(UDq{wuD_T>UpDd@CpV7e(@EZ+rR(fKge36F6lr12Fk<#-ZxyW1H2*|-uC$iwTQDEzGArs!6-Za-QyK6 zlYPO}-^EgjZ29IQBXJEzX9;l}cBjMWv{*`A#GB+fT}Emax1d#lL-`Zmc8B0(s5f%i z+-{1BVxR%sZga~>N-#z+^gM-(_!|ZfG+Zzn4RQ8dm%X%@P0UWoPEER-g?4kJAxzB5 zNE(rnlm$F|eCil#EiCl*gw#}S>K4}JGqbVK(1|0`laiBD5GXC1f{jQ| z%L03wO#y^|?k^)DGhu8}c2Z^|YnKNx$RsfNZYE-cZBph~HZdb5BMIh&v@!6IK0b2< z(75plsVUiaz>#7lEgPQG*u?aV?38rqnMuUcu!)H&$;sm>k-pbc5-Cb`@_4RzD(N*> zcM0{r6yZmvrVmd5MO4{KOHaH;l&LA#j#A`@k_4K@xf^2irAS&~u8=l@jZMhHOd}~f zBRwT8n^NVAr0;%ly^T>GrxOjzQD(G&!8cpbelWEV zvGt4VBi!?BQ)SBR9$T@>y{|FK?wDdO0^3?>E1T+cSsTLkYjAUv7Ta8QixECcZ4Ey9 z8>3vdJe$kru-J?qr;$$pkYc1acM_7?;Bx@t0!vMezZ9brvSY^Zat;XCkquBu#$>zEu>Vd{6+2Vac%qWk1N`~2?>KqzUGpHdoyen$x zKzx3B#~GuXCA@obIE_V4M?PNdE-j%sfel1T$V^HwjZaI-&SIGf*-6rvm7aQAQYNbE z_zYC~k=VEzo5Ux!nc3;7mplbVFeoZW|w?ZZYuWhJ4e zWAZ#IlO-nH!IH+Ovdl64S!Q}xAC{J$mc)|Br>3&oMzE1181+$%x+k6vmYkkBc6@3A zOBy#mC6$S0iZF>uj9MY%T?y|=L@&pZkrvd$kx5x8cOu@D2}z0G$^#O_@a~wpS&P%* zG20!eltxRLr3iJwSMsrJ>P@*!&Si}@UXLxP$C%7>bAQy*7*s!ZX?}Hj8gi{7{Y~D^icCoTLf zuNjI;*DqAA-C;)gqJ>{c+TK*eM9^MSUFeNug+bQ;Fi_*t#w^R0Pvdz5B{;eo^?Elh zeV*rrV91r154bArds9X5RdsZ<=%3Nkp=0q@cuyJ14;`B5@*0Rq)#0iEy&a(lfQDhU zO=}27RpY9`{5w};N@7DOsv+Kvyu?MUm8VSf)^6iebkKq+%2PL>-c(JH52~XGLjARI zs@d&pO{%umhk61(uXc0=vWKP`ruKc63PCS%*{Jhu+|K$?WoW287H4q@4V{((Te02k zK^4j?b?}DK&>Hv@upvm16HU|S%b4eK79&C)ja3~FqVU?+S2w|}hX)l-pV%rGVx(~L<*Fq$z~$}?seCtTHQ&#Oi; z7ERM0lO>pCLx&FKIMt3GQDQKW1Kh;q3tutbEW=Pf&XKVfc6a9L*Wc4 z%YdRE>9mgkH`+$fVL#b`GX@6iD;TilKz0V4;V^V;#tcEwaYuxq8DTv$ERAN^%@Jzp z^Ax)&$*tl!`I_o?U}N(Ju^h!zyjuBGrzhsV+CDV_`KdMV0mArkG~c13}ykf z*zqZeX91NX7@L>K^p#^+U`{Fvh)iRFiD@_#oz4Q6rnBIJJ6YhoiA-N}5B!^0c!h;2 zaW)p1ZDTAtj|J5iGhMWkDXC7TpH|A)#wjeMpo|60TgY@19%XFiBBqP4V1~mLjO8q5 zhUld%px+ZrKX^G~gP&#kelIaY#zv;Qun}==V*10cFkSsN7M#6@H8UJTK8~}{2`8A+ z>IcR~K~iwS&&*)B!~zN~GyU6o#W2vID60b$-GmS&6ax2V#ofV~3S0!X-H~8(Y=!$Ms0`}tI-Ar7R8h(?) zc1A0Pg)s`Nicy+p$KgGFl%SJ+mB4=e6kS|@MH$s!VVnCaL6HNMz^wxn-P?l{<-j0? zMctwVM`tL3Ycmwxo^gtDY@EXG%2a}b?@|Jz?ot9y;v=RjauogETt(Np3lta!OzlicSQilKq$B|OMPU`KXj_QqHL^-uf(jn{3 z^$t=;Tjba%^-fYp^~W!wyo=PkO1+!ZyG#8>sYgk@htzvY{U)iSDdQJW9wYTwsrQn4 zoYZ?uy^qxUO1+=d`%8U*)NhvhK&cOs`YlpNv&Ao>e6ZAqNFB`>zld_NK^svXFL8p@ zhf5vJ9KVS2M5!l9Jz44_r4HFN{36OBx5)L;QXeDrRH=`ZI=Tw{;>zhM>KbEIrg<+? z4HVSSNe6#>k+!S&r^xX0_y5=9iD0+CLhp}YyQRKY>R$WLCH_k4N2R`WiwO6W)Sr|3 zOI$ZnviQ#%&&pSY|M#W-jnsdWddJs(Asd~R2%M@cTy!nj ziBxp{pY9@N}+V5!a1)llXbhYp2O` z*%?yLlzO(*ZQ<>2bG;$n|I_s;otK!n_rO

    KkXX+%dcTS{~Goc*RWr94f_?> zuwQ!(`_0#|ue^qRO(T0&E+HF8%~Jbm6woN3Q9z@BMgffi8U-{8XcW*Wpiw}hfJOn0 z0vZK03TPD2D4yAwH9Yz zGoY)Fz#4$*N9T#-xJf(+v-m*9sv3Ng$!G8Ty1R%^!RNgd9OhS|q3}_7B@gNWs28Dj zLDfLfUk9k6P!pi0LCuH4x8apH6{b4?^|QkC!8)dof*K9wfm#i9P{(xjQ0??gHx$YW zRSvZr>Q$(Bp+1880_rH#DX4m=a0An|fr^3}2$c+#0hI&gfSL*QFw}CW^-z^iyP)<# z)j*ws`W-4b0P#R|hZ+ENCsYyC6sQNFo`6~bwH0a?)E7|4p?-!63`AI{D5!x@qoMAE znglf+YF;2?rld4Wk<)D>L%z*pah5tf(wtZ1oLcIzd)yKi*&T&;s~R}0wrMKta9V9@ z&r{4rrQV3i%@>#hRbaxNvJ$mlby#PK$L@5<7kTW(wi2_;Tuj(mV&nF1^AuY_nKjQ| z#N%)~i>BB{k%y@+yT^uv!`fuB6coBWg(j=nHPwz_CX;PiN$)r^6c(3QOu1&4%WiY| zumxf57ITr$!sf7=uCUB=x=e1589q&Uc8A^PS!EAvkEx&9rOv?sS{W$#^Q97U<;HS|n?NwMfv_TI4PRnL#CH%9Cz+R7n7#AxNI^m?ts;TvEzi zp^>Z0W=4Xcf&6)Hn+;jaLvbKqdAwklsmPhnA5;v*APFU=*j9`Taouh6m`cnZkIm)i zJpeW+KU*5P{xTY?Dh- zPyeo01HV;WT*5QcJ$*54cTT#A$!YUak66u8!wul z4Csm;3@9f&99$?rG_{lWZ1rBAWx#Y#uLoBhbJO zT%=;E-^~kdm-L;89*!L$uiSJj5S5>gWN!zeVrGdnj^|_9!9dsx!%Uhq(w% zx3mb!{yK=7vc19LyCAPqT@ceFQSAL7UhfYD@hWvTi0NoBdnKsUV`9$+gDhL<4b?Bv zbH!`)T!<&rfyy5T3yQG)@VAw_?Og)50JGI9UEU8CE%fif7?rH-P%vJJCQ^)w|9voj z@o9vuU28zRYd6tz;~IJ{-9XRPU`dc8bS7E0e6}UTM~iJCK3cpJ0$Nm3x=y|X-#Y5L zz6)_@q4uykxYh775hmvauzh=y^-n2862S{mI@MO7G!U3<}a{V<$qH&Q{_?SNBb5iN_>H znIGZ%*m^486$_~97Q3f$PGM1)v(&>)kB1>X-gXW?PyQ;N<4?2(11nz}poqrtL0CiM zcqdFWjt>!X?MlRosxF)3mM|Ldc@^IlhU)%hm|HZKI{00EKgD_MAxg(6_GI`t_AFS% zd6X^#buG_?A=hWah=F0N!YQwt;J)V@%4Ov-dY-JK=dxcwQA2O`ad;oLKfEtH6yA@0 z4W9=ep!k<=l79uD*H{(g zWUmF6xSW$r?5AL&tch(2b+JpKZuVL@`oKa{v3(l*F1(b@Z;BEtr%pFvLP|DUresZE z&o#xEkc=*y{R-FBd;mQ2VIbv?kE)DX(CN9l0*2r7(*M!o{{UD|O`C z#*}(IW@)pn8PoM2n>8WLHr3;FNXre)2Ei(mz0=IVF1$g}l|Ka@TW7Tvp)+CS5yarQ z!M%dtejoxwewzF&TS3o*C?@Jv9UiMKpGNWZ5q$W@nB_v=HpBbs71Y~o{E0@;t!L?3 z{R_rXy=X9pB6u_TI--Pn;O`>P5Qsr3_`iyNBM(`Ma5d% z0u@%!cTWrVG!r|9=(ldAD0hB987P0Bo;!D1_GPD_lKRGJ%FqTo&J zgO&!i>Img}&w8HgNj%#pTe__1A80gz2xnW>A44$&-<$7tuPlr z>WF1|p%s7a+E$=>J$XFy8$D~Ne#(^XR(bzSc>l5$)7zZ%YMN8I*%Pe_`CWuid$Vtwnc2dKTyUjmbX1*JM_AY!5mvh!(;_#U+dPlG+dSXpoJy|jv*rct zX!A*!EaloUM>>Nh!0u~N%pPg!uuWx$TRPc=mNeVsC0@}AT}~@Ed%rd6Wqs>uUI#a; zAXcA#OYf*s!dL4S>Q?I}Yz&UB)fL5`(VY)?J8-LEZIhXmN~`wSCxdtDE+}i2^I>b7 zE;FodR-s>Jn6F=rzdg#(}b$8|H`4oTpr9xjb~O(yCQ-MZk)PgHfA%Ej3i>a@u=F zl`Pe5)m60F7<4RjvthMi=1JYwpp9V_O$-KH^tVu7t{B^|RifKhDDx@dJC%&RNMQCt zWvjAB891t1*{js*DwG=CF0HquVsMJkc8gNjTk(#qmH}I~*X#4nGzy)+oVcau-Ll)RX z;DI*_+(P1M5??2A?Lgt)N#et|3LGnOB;d2yP+DH3PXf)sueB|dYTz{Otw_Xs>) z;sf~tS4eEN3;e9aGYbWNO=3f_!0$`E)*@4tHuX}fa zmq=WHlfbJaj*b=hHHoWp1pYwc!)Ad$mw1#-;O`_Z$P@S%i3i^+a8NTrk7=_6zK(DZ zW5FK?+)ZMm#C;@=mw1H41rldSTqW@Y!r&g(%5}y(i6d#D5kI%YB@*8!@iK`YBOHQt zPrdN}w8Z5SuabC~#2Y2vEb;3SS4;f1#5EG{l=ybtcwu&ua&s1#4JFhFPd;D)^jBuBC%28bcwr4 zY?e4mVz-*pu|fhj+c0i#1#^6k$9QJJ0xBq@uw26mH4p4n*YtZ%Vq>_# zTO=-NBJleX&zJZ!iT6tU4~Y+U68`Dg41M&O9s;)~jHXsHir&Up7bwCLQaEINBtAb< z;2{zZmhPmH|0s!XCye+bdW!hX5=Tm0ApK{@z<{3%io(x}<&aUgNw}hy!1qhMHBR71 zB+ilHpCpX-y+XF{=LqBd1--@lS4scT!x1TduSgsvF?Fl-z7?6m{X>cGN{0czgHYri zmqUoL6HtUxOE_egCEh6W-vn;tUY{Y{+e_?8h5RN5q^^wKO^wl5?4Ge@NS6@O7}w&M~#93zi%ZrjuaTHeVo4W zlD^bU61_7dZY^<~#N8zxCGpJ?Pmp+w!~-S1i!k0%Fj~B?NaEBKfy*SWNE7%0FP8LO zB5}l6;l4`ZN*Ui)iQ`g*`!0#+N&J<>J7xIe63?fC!SB4pt7UrhSm~hjT9br(xWqM* zo?RtA_5u&i21|TEj^Ei5*RK)o1ro=v5_qP>ak9SNFL5eWRQ#TjcyG19nY+_8qr@iD6S_<_;qxO%_9T_s*|NZ@`FFO+zc#9JkvDDhsI zUc1BvtpvTwBwpJ_;Q117Y#}hV)A;+BwibAc#9bxE78`djIV{q1K;n}vh5us`*U0po zlQ>nrKLE2YD!;=Lx0ATyn20Y*;!(1G_4WF1E8wr#MQF? z&XxFJy70e5;s}XXOU$x``)giz*u;eV6FD0l@zE0vjvc7eZI7iNhdP#gn z;$afk$oe;0V$T9WuRA5Ky-U2$EOF#~;Xau#^3y#|JNnHPc z2>*=4)4$gw;Tk`D!4J2<+yeCQ#n)9}-~0Re;Uqsi z!4K#8VUHi4?S~in;m7^(Gk$obAAZRXZ}P)i{qWm<_H^gjsvA^ys2ic8pn5>{gt`eT8Y%`V7OEE%v3tFth|TK@)enkTya7-* zLk)x)1a%A4tx$uZhCmI48U_^)l>kL-Cb52rP{dLuL(x=m6ckO7Xxc?nCz@W-l#1Bi z{{+n<5YJzsTRZsspF}$&GhK7b#U!>|ghqS)T-r!LE{G(ILK;b!y&_2_-!_d&Y}1%V zWy_5`n7G7&)JZ^zjI@ggUCJSu#`4`+6Lw1(J$yol+{`z=$Xc~IOwdB|L1MGh2Zj8R z4`S0$Er#T?_eII$5JE}ZQOG`0D2*TyG(k#0C?WSrgVIgd>EGq(8Foi4&>pgcy>v zAeo&;p~%8N6xlTj<&%4mu}Be8kq}S@Qd!c4wq7AGDqMUr5)#v9nvgs4S#SvpRj#C< zfDp!zzWCOqG)plHFOrf;1nFh`#dZgFA8C_aC1NBzNPCsEk=LF!qSX>aUVD-wLNr|B zNNwkpLLxg~&4Hwe2@$1wg^IYNu=7dOcsaSQjCXOIc|6dhX_wy4N3a=y!g|_ z>#-4GxTUWg1rowWzIYlZM2LqrdXdZ4Ab8{p#RZB8xrE>lH~M6U8X=S(dNFt<+Iyvl zyx1#C#4$-yOK~8H8`XEncQ&r?+(JkcN&i<=c6d=$a4w7h5obya?aYr8MiLkzI}-dL znV8;gDzHL~WCMaOj7_RRF1}>Px2QDrg;~l_J7(!Y`O5`;7 z;F38F5OshgbWqQ{GBqYN3Yl>)eaMEAr^a}-5T-Ff%0kc-1`?-{gpf!OK>``VnJWZr zOkB#v8>?3ogQUS#;x8r_#9w5bWNZ+x;VvS67YWCBJ&{@Mi?HwpaYf$iNP!rWOb^!@ zq-acTDIf!3@dg1I6GX$MObm=dD8{6cAJI->_)bUs&pL(ScQ`;hmGOV-R0bLxAM3OE z#6$FC!i-)k9fKq>9mI`NCuVo#7ulp`T4`}Eou7#%K{br&=$>rWSbrRgfwi%ZSPZU+ zix}-hOCp9m3B1#h+r(ig*b)cr^FrWCFDm|B29SJt<9A+>hO4HkahO;P`o5Pbm4N0fr zFB|92ILP9{+5~UMNP>){I7-0sI$hk=$NajdK^)p6y^Jcef@~5HJypR?V{NW{n{{N7 zGuK>%=&}n0_Y0je%`J!;+(6ZVneN~cpr$+IuK7$4gF!#&tJ+R+^yn)s@i!F}rI=uYRjD@=g4qoV)S3AVLw%v}&8=HLi zW``F}f7Ig0Z!32BqW?Dy%gT%uX&Y=!OQ$Ui7`gZKm2}j*W@PE>!$8&edPSvwn5dKW^a6Tf^*mRc~yol zKl`jump&oj^31I>r{Dk8I}1iV6#ddWmrpNEPOHqkq4a_0>tc?V=^q^%IzE3=_j{K; zGa+$nm2KAcnG5m`ZGLKa_^VBCSp87q2gjB#e0J`QGoRDnbj0?1+1c|)+uT^Oyw~1{ zW#=9*`Tnj;smq2<-Id+^^ZV8rk6hnBs+oR6?F4*Py{I7islZJmHnz??`r51;tOr`3 zTfCxet!d)l?l^lvZ#xn6`oy5(*{2swc(U!piC-RivCDuTck~Xd?clzpd2FAbPxojZ zJG8E}$%bLOwvJstz5cu8&!7HzLz4%)K6TH%^R~TdKKs*>Q!Q^uIR0qL14sM6TD4%$ z_9uF;-~V=p!Eu4l9_w-R!HzGE&Ko}eoxnZ)etY8K!e92fcYRsEcTb`5)E8f_IZ__$ zxL6f;--OKAR;}7i`+R@y^+f^eo*o!9_3mGOZrOMG_?HKr+}HlbF0N${^tkWC+VD?v z0@t*dzwP&sBXv(cvplihVO~5k=}74_;|d=i_uPzCwxe%N&1%2SQ9NaII0LT#?AhgEoi!@UdmyBhMM{w`aYef2rf-ult|K*s*KE2lllaii_9p%J^h? zVdCRoCQi8b_7y+;*87zY=T;eC%tf~QHkpUhn!MF7;G%6x$CaiFU&eR-GN}0aht@r{>aOf5$u$)@ zC%e4VX3w_Sle;~=ZtSzYCOi`n++@~6nXB46TbA_+xPHX(J2MZxe&ZL*S3Y^;ycgRA zKltcRyU#2;{^;a&XFL}ZCyZXal>$)x* zdSJuJm|n}eS9k0d`u^@)r=*RU^+84Kq6vmF>x>&Fr^F2ISv};bZ>Q%Tx%aNQCEe_ex$Ic6xBTrClyP@n`Mt zzw6%Ovpf2&e)6;VH-A25N{i^K!n{2{ef!PD+crdm2YoRz!*=Mu8~>k$Kc#Pd?>#%) zE_)#Ig1+v7JlCr$G9Fp>@qm5du5s@+4SlCw%4c8hIG@!0(-|dE9_6JsI~t5#l6Sw} za&30U-)Afub^6g??|7tF`uL%X+yiczd()bat*6>_D{1}0$qsFwpZVqov-8`wS$+BE z$DUfhH{|I<6+w|rR~H_4(Z%GHmaSVD^x#*Fd9Q&UD5 zJID0ul~7VrWb4%{F+0(ik(!c~ZA2WsdL^ZGHg+!XcuH>R)obe1sj+7A6^kVx^62iB z;lj+^3m{GZvzdhoOUeNki!1ULu~sz4%*(hF&^CdvpwP8`@8!fJOn00vZK03TPD2 zD43 z$pF1gLv&@u-F0PGcNgF23Pv7bCJC7Y1QK8o#Rnil4}%auLkO6;-&57|NCL|5{_g$X z`@4VU^Xch&o;r2v)TvWdr>eKMeAjxB!C*`_7z~~8T!zOFhtE(3m%(r)o?S+RVa%9e zjuFFHP}{%4q_g_X2#r3JV9Xfz`04I=()RGIJ$c+;kD@UA$Zz67{NH3KN%W2xGu7>R zWNIv^J-qk3alCeLaE7Qqn!%#OqdL=X%$VY*o}3y-usyu8UvhYjdIs{h!HyJ`%M-8RfN=B^=w@8hi-ZO=kP(yyJL_=FyUZN)QY%%e}msYd>@!z+m*19+4_ z`Xh1p37U=Ct{zSSZfMU)#{}P;p*eF6JdRWw7$o`e}D=@rowZTo+Fc+{>Uo-t#b(%^d>c8PN@LUbzm;iR9R!!23Ny#yx_Rx12? zc&HmDh8Iqm^ssy4t&czU$oNSQKRMq0#MJ4%#ytZs($TN4!B9f{&)|beZj1UiBpI47 z;r)YP_TH9cm<7Po4<{Ki(hUYg8HQ3m{1)iX-|_B=G|_O1>+n02WcW*mK!f2I2%~cT z@aH|N%O>}?zS{e5mu!6JhWq;Zp70~L&hTRl^!5Y_0p@0qFY@lW&`kVrVnSD275I!f?-PZdA> z_^nS(a#QZ7o|qH`1ZNb+4aiG)H`gZ_@=&=Rx}WGwzwWxf41Ca-C|FqRg})0FxIlpm z6u3Zv3lz9OfeRG4K!FPsxIlpm6u3Zv3lz9OfeRG4K!FPsxIlpm6u3Zv3lz9OfeRG4 zK!FPsxIlpm6u3Zv3lz9OfeRG4K!FPsxIlpm6u3Zv|5qt6T$H~RR$WoL&3&&J3Fg%0 z_$Sb>mvD6{tFlnBP3>!)(;9(KEwvgWk%%y$#uz{zq%Ym(`AXihdQM46i733cQw$us zQQjFiVCiw(xG`+X@#kzaR#vcBxd92bh=I_J^47pXOOI2=hB?OwsIe9ijbh-)jq>rp zK1+|C#+txh%f-idtng9bG5csj`yzK$o{kGw@VfPJ{hwqT&lcIcDSk={$v){Ik>TIi^e^6w& zqz*CW_#HXl#o>b<1Ju4Zae_G1x4RHU?81N}cB3Y&N)sai(ByMDU}M#G3hy10P&K=J z43)C=*kUu*tS1vf%>%qdpI<2T!sjp^VKj8g$3TpYj7nRGjK}Oooe(zTW=VMO-w719 z8xIkobTSGbH9WSB5$cdt-qK^I@KIC45#!FlkitGy8{z5_7A90Q*;P|-+ni?3GQEjFHerCDc&3jSsYEW%XXj#?j_hKSYi)r& z7JHAt|3Z#&D*b~lU&MWNnWWt5l$*4^M~nua-+hTodCrOmj}|uBlra{07bglMNIQCn z@(Iv`Xy6pp`*a!@3jb^MKUb&u-%5oW68gJKx!p-U;w$Z%?-)r^q9pm&k<;Xq8`}`1 zFo8eNi;yCG6^V~{e~}_J(wtV}K=+MR3~P(7Rw?*zd$`(dNODMyI#N5h*%`RjNg zp=`t@{G$BG`)_$(Ci>EyVf3XQ)gwg3Y!;FXqGAwbN4*&I)qfo!CPYVz2&F&3Tw9WV zkmOeMbf;Qy6YO_IdF67X3EyzsCRp#bNX6B*NcC|ct#rdK1PfOe8eGcL87^OwQ2G|K z+mudT|Bv40ZqqcW*fig1Y>wR7H$TG9O1PLEMky~$Bg93 z<4Iob0Hr9J7PwHR(9}pI(gD!uc7Q@Iq;mPb6G~6O@Y$x!HrXQo4qeZ)#?YJ~JYaqu zG@Bq?&hv-5vJ_uXiZ7`m+PFhT1EI%!p_8ptc0%;tHqpDF60F*VoBo!ogfS|cW#5};~i2wP>1?#J1$h#8-aiKw*Va3K1V=+0#ZNV0kso^ z;gD(f<9+!;)>@&=cCd~M_xf3z5D7v_?a^KpO03m4KenTZ)F!&Ref0NQV(!1UkKWoQ zdS3hJwQZswZ6Ey#i?*g#FdRlEP_%!$q(Tqh3Tog#aezMJtqDRl3nac+2ngD24o=m% z72t|eAL7;18|vFLZEGI|Yd;6rTmpL|iyXnq1W2=mgVdSqg>!&Bc90RS1E%``P20gD ztxNQ3Y&V)u`8fO?5Q$sItA0H~4m$A!@V8|Bc$r`uLs(_!kB*vz66 z8Tf%Z;>1qGiB=Q?)=c2QzaY6oeLO4T@a>=7*Di-+JrHdHzV1~!wF^dOgmRYE?gx@+ zu6P4GAsY@vbUVo`ZELkl4) zI!25NSqQ!Oc++Nl5WR;p#Gs>=jRA75e{hl^Xs*CN{etH5nCk=GCCUZ=f>XO4KxOj^ zID_UlW2s)(T~5`r1B0a2h>=N@tE9CA4oF4p$`d;rzVFKM8#1HMbkZ!>vNJ^BPxYfgm}IW-xEpQ zfeeay3;r)LFUP;TD%>Y%{v%v8>?-CDSi|D7YG?$p&@Vggd;HUCl zMFdw7G7>nbjXprl_%Lgv`|pDWh0$0f4d7c)Pf})QkmB(f+?*&w_cNlnbNKL#URY?6 zluJc9Mi)`JM3hBTr_OB>WgGG*KV%y{s*1vWb)LiFBTOBMw+EGfTb!v-HiekA{V0^U zi~DwxPgg@mh5r7H(NLx9w{7@~_)@zGgp!kO9~r#`zj1v5kmwb?Xp5wfv-TQQ+iyxyX#@8Tt2Y#HvO6Uq+v<3|qBVjltXnq8N#2q>Qj+2Q} zf)>*kx&Ef4I*~&$55j-W?)+LoosH~baigeoxd~w<{rhBkvQ-=8nm!-RZ*;pvb+)l& zW*=jwD7U(g$OS1#iHd+|C&l8EcA>)5$L96#vU!_-HEqBe;$x?pdOH9QDK^b<8Eb8k zJ!=Td&?&^JcN=B%#z9GjP%^^SKq)kY_9A=@og52&3K!53R;BkTX&EDw{tbch&cc!d zUl*3t{JpTG^?=}Ags_s9UhYdvDr<6fm$WnqbC)5T762@;toa!L4-byitwDPl@=pni z<|0;DW$$A&)$~W=sqiZ1+mOoJe9_E{z0Fq(zA;p8q(;u|jbLpWAYp871YW}B<{k)I z1BKcU%15d-bfPqLE4i*F*Y$8s2s(CV8fwg!BBdd}_PH^l+C3R=2(F#sn-;ist|qk@ zJVsNWyY?6jN@}f?WKeA&#dm6^LNVx)?q zi)=#0o!XACjRu=sBUBWOM?!4_dGl*LTW#x52}Ago!qo27k8B)%HY}It?C@^0i1W?P%ue^Ux;c!3IInMm?gpUw)Vug-XM>w^Rk2*vT*gfMN|$DRSZsC&>Cz4583bP^{5$1I81cqt$QdY< z73KM32y;^daJ*P3tp<)Z)tSuP`S+hyORtUdD8B-Xbz}2ax!(z(s?M_C7%p!#9QmBhZ{Y2 zM$8M4o)`Jjm%PZBkj4~JltMAuL1okqYD+?st#_b3-J^M1K0TTxY-y&1`mprw7ksc7^3#Kb3ndvmeQB_8$`e^r z@{&BShJP7J9fIg^*P!`2yomzg&O!4PI&v;~wiVS9l~J|Ydf>>b;hO>8<+Q#TDA0fi z9p^Gza3E`141~1&#{g}yb5gnFX;xeCA`+6?(+m&|vS*;5O7g%AjD#4n+Ndq@^&Y4y za}H+$Gw9B*wW7vsg+ZGT^nC?1AZdMj@P;gzi?Wo|>G-Fy3^I>or>NwPMhM1`uIiK; zj2TT+9v0PCD2r2FNe~kB*9A)`AW=TQ_BjeHHs1&kV#F_-f62;7*UJEJ1D!5E-o*+? z(hHbcjsZ#Vy@tAqYVIBy(baWSAOoxoZ?7D1TlT7jeH+k zo>33(7YG8am&r?NZzV-{rJr7kIe41G#Ohg%ul{zhG}K|C^i!x9k{qECy=Mj#kMJFiYdW=nHwD5X>Vd;M+TFS=yGDIX-oq7ljyxbIJUfKF^b0TUmmyf4SEy$K|+ zw1~wulrRk?*p!Rni)(hD!D-YYdz{55q`-mBlG?YIc-Dfn-=UPqCYO3kFKNyOLIHiM z9@Wt?L1{;{2^^CzpgcI`qo~DypggC1+$rx3k;dmN{zeMyr&4Z-m9jFSIw!R(R*Gai zEX}Frg}jqc$Wf24u^Z^d^7-UE2 zZL}9!Gs49$7=A`-qB<@eU2DrATN~o-?6G z5m6%bVAUA)M7c&g@NeWA&rAAwz9~m)l=v8-w;5{Hc`=)pXX;OxmY#2>!90^dnTpRh z)0I5aJ`C}pUgw)>Kkns0omNt&Qy6m2t4{CnObaMe_4#I+!81KXnHHaKCI`=SD`k4{ zd^1^jrXixB_dnckpGYtA>*WS(gjWtw-snfmig_fjTW zPdhL4F5;Q4r%c_>H`BIlj1Z@GBhx{sXXjPYD?HO?%JjkcW}3(|{gpD!I^RsU@k}1d zB%W`k)&^FmL6qromT9*nfAKS-wGNqnMhgCe!#xePg^ewTAi`;F3;U%QNyY-z(EHHn zFlIsi|CBf*356uuJ(OiOvgGX6=`La@(`CP?yu!vqXouGk6%_M(-_wi6+ImkH5fj8Y z)ijVMtZ`{4>y3u{0Ptfxm!j&$c*^k{#&ZZ7^R?iM2kzi&O=5u;@ion&)nKWGb3hX-SY zaJ``g5f>o>Qy{J|w*XblN8H(z<~mHTEHuRuX<~qJeohVLKnSg+iSk{R@Wo<~)6c9=PepNXlIJi_w$p z6WDxQEf8~|6<(n?5Y{w?w(%?G6~|CU@rtpy^~f&gJ_xYbb+yZ$9TgaIQTj=3@fN}c z3&FDa5=6(sry-o?PO|w-UPAC#7F>a#}Cd#D74A-2`19oTF?nThO%9mMYNt!>u3 zUBxGCkt(~~eLFG_l!vV_Ns&s?TRGH~|EW;=cVxCJQ_k4Dt;z1b_)l^V#=p^XhqJhm zCIZhR*WL24k4$z2YnrXeo;$A;!;a#%hQ0u-*6>&BO)YAz+S)QSMQq znoLxa)CVFJL=BralH?vDsvm3cNOHa8-P0Z0K`(F61Ry5468Vxe^Cw1hk)8t)W0&`0t7i7~NN?fkFHT5r zmk+TFJ2p{F@}14=}}G7Z3S&;8<}eoTuIF3hbtLij!m!&PtLPa>)Mfa-dJi?=Dd4F z5_@+-vZv2X5L&*5_vz{hHlf8oLD=zcJex5zmHYPg*hR_@dUlqd z2KjCIUkJVs#@6yP@Z}$KUlrO7pWc2f3CSQ|4Fb{WpFRvZQt~1MC)Nu+H^^UCXpjc1 zPis?Vll_ZON*gXndQU>qBu~0haQrsNKx%w#`ch^oGg&boK$udX;Xl7w7}AWL9j)Ip zEOInDi-kbUAu%nRcOXsjoN>&(i@7H<_ZQ6lcr4ue@dCIF?o{msTyY0{e3th9S1ca-Y*$WeX&)0AxIr-c)gP3 zZ65dBjpa0KNZwx?+}$K^|15*Mi|FlVa0@wgl6RKDz@i05Ku!XrT>;Pbv)1>djjS3B_fsMm2XMqFtY9trmiF;awu%2!hxoy5;@|2J-zy=WOcO}~ z>!2S^#15OIEa-qbPP=FiqXOt8i?;A)`6bmyNnNZ_?bs*XlcDV^J8nQFKvlX)r!7Z00nI!iKpjU^$S zz0!g-M#)==LCue+#pro;xzU|92*zZhYJvpZW5ULR-54!{+;@_MQ-Qfix<{eBVL?#RDat&T_LOj==5KN%N*6;rB zp@-7F`~WJgjD&pj)d`DUhCT`+CEvvOP@yj~;sz-nX2aEjdIJ@ycx$2k3{ktiE(N~fJd$CB z>5lmgw23F_Sr`vl9c5rs-*ogRZoD&E8Nu{SSBYJ|W`JVK5Ea(~8KAu*P#dZE6VVs| z-~}vEO06Vciv3KX^eF&vLIDLZm)|LmUl#5La|kCCGL+%+i;9#PO=?F{yJB{s*E*;} zq(f9;CSw(qdov{Ec1fLXw0%sYm*j0u7v`>n%c( zR6tH;)(WRGewkBwqMWexNKSRgX_vf73WSrSNEK8(li>XqaB$>o3v~lp$ox5sKhBo9 zEkC;C+CtJUx=}wf)w1rmCBePXg(VCfuB33gpL%av zv=i&TN(*&fXg8j!Pz6wS$)8CO9Kf9Bhm@_}g8yOl8I*S?+-bvh!p+0e?Aut#HXf2a zfhEmjNy&q>c@$=^XFmHj9=I(JQUe7CT0O5gn4~&mYpOE3Z-ZP)mb@FOM3a>PvswYg z)Rn>N%7R!#n&~nYbeYwaUrUW3_!__yU>uzQ_U8v68RxQ2VX9}e3|c6JNyTW0 zl|oX8;L(r_3b7`JWP;`<=+2(^q==vP_HP}e_74tH)93OM6Xa9MT$YiuLJ-NF$fhX@ z4erR;U+=J#$ev-L;bUozA9D<$l#Fz|r!eaO3J!E0D=JN$XYnKOhdu_isQRMZqOHmV zjk=tH$nb3w7QKpSj4L0*OV&v`nRJobLPn^={WQQdv>9NyJr?BYJce%&7LmktBTV&V zwg-#6S}5=^791d4o>C8j%;T~p2$X*!VTS?cFPJ$Ar5l0#ptePIEQtyVEsIuDNj0EC znEe{@BD+FS9ljKXG^??Lstxy$Q6^*#rz=s-w-GZ9B9M~%O*R{C{CFXM0I!7nGg$t` zm{%$0cM-+J(@2m|QUpoCZrgug!Dy0kJwix0br$AsCYRhG^?>eoDpQzCh6k_#IxWek zq(BG)Bp`Ytrm5GV3x=PNymdxhCxxd^6)~}F^;FvBp!XnpV!-IWHrf*@iz$s|Or!3n zcRc51Rw=*P{j})aYNXE6ka3R2*8DGtuCldXI# zfI{L%Pu^zp?t>!qIS*_rZwD85TYUU3Ac@IddoKNIaPi2+CW^J!TFw%UF|xDdt%Bkc zz;oK@`G98i*MKk23KHzNGn|Z;Lya6uQ6VGx;sUbpz#wMLiP*8}_Kv_OMYNEjcxh@y zgWW+axQfc}`C5)b!!rrIL2BPCu@)e*KKhK+slZ$i!UWSzUQra&<-4^yUx%;N+k;wj zE9#VHs%4B;In;^$>e4b4;l0D)`I>cJN-z?mk5FW@IF+ufhu(z_wvlDr82&iNA2yd8 z(X}u;nV7I{T-IiO1}lRFR6SXph~Zn5m(Yq0hQh7bVzDc4k#0b17SGrsn}d$mkrFef zC+dTah16Gqjxq{SZpW%2cI+Grq15~X`-V^z%b+U0j-`lt+4JJ+Ymw+T#@`r+YB`wb z0-sE*q}lT|yWrFaoLKC7-JTzsos0YvkY5?~B8)O4P!_^T%GC&b41oyQjSwt^6T%4< zLVR5&SGw4^0>4f7GmWep^Kd1sUUvtPXq@h@2H(J#-`c%+4K18{%Atz+p^DXp`^uHk zxPgen1|(5OhC#^@n8CuzLZu}Qsd$5!9}wkZg4&;mr%pCP;QL9DQu|}^=%AVUM;>}x zuSzIq^~{HpBTGm*1CI@0eJO7&IaycAn@CRdC*+z$&P?WL-*Y3sK+JdEjlkAP>oLFb!HI^QWN z|8uVMeF4QT7*qP70g}>pn3O&#|0}$z?WMDJ3cfpl25EkRuQyzd%x}Q8S7I9o3LG@P zS$=4LP&$CHkL+7JYJXGBB)mO|x>P9=CdlV;Ts|{>Y8=<6NN(%;)HtqBae+OqAwi!S zr|VNJDk{XsotHkvg!s6$xIQ&b*QY2#7whAgKIQh%u*1#^wb4iGARW?7Tp#7`1bx(9 zi1{oN9|4xECc(}1&p;dfQ}-q4pGxlJYq*-mhD4>H7rfNsF6^+NX(RG+@4jR%-7wos zo-*DhABS*={DhO^8;#@z|L!h6HT+H<|Jp}sM$i-Yg(?g)21)!g8 zB>gNP`nI`m#X=|~Zhx4D*I@)n(9a<3sknxiOm!k#TtE9YbqaKum{vyi)l4gU6b`WW z3`h#5mAwjoXgg$TB78~dpG6v4U$7w{jbDzx?pJ(7tEvxdQ&LG5(PZ%%w&>rb^=eYt zI*~=Zr1Z^N4~Qts=zfOI+wo;<78b|fS)8&OAWf~1@ztovh_elZwa#MaYBrN^wftl{ ztaC%Lr*-ZiMntT0FM}!}lXc#XF;nASW@=pjEG0J`xv^+)3ZMP~tQNcyU~R{?jJC+fV0B-m zgF*A`Mlz<-<%5{#RO#LXp%YcQKf-?&m5xb;L2;#RLK#@c{{IVo?WOKqUt2?zQ3{5^ zOTC&YFaJmNwcbCeuU*z|e%)Sun~#ncSJY_!EGi0D)PB!KX=NpiWukE>R5f(UUyI5E zP}K%aYGFrAA0}BsY8F?&um`N%pNT$Kg`k-J#RLx5#kdj|7z!oMJ;CfOALj5)M&TvD}&e4SZNrI*C_}qx4J90Q;##Y^zo+V>wKg64hZ%QI5lP7HT z#JQ2p|LRDmaMrSnBhxSH_tR=Bd3q@G3vB}LC zOE62sWC!atd$C?arC3d!*(9+u(=RS2mBM*3U$3EvG?Rq|S**0wbXSz$V~qAM@Qqwa ztajl0bFfl~LYcqq3o%+HBS6@uE6vFfi zdw^63%&RDb=@<3@U-)JrOuw)PGI<(W{~0A_Uaa@dYnOuujzo2W;F zeF?N5lV~x&#S?;I%I{!LV)L#q#U#q;!S-~)8<$fJl-_XOjpb2TSSY+7YY%{(v6p<4 zgKC}&kLazk*yScMZ~!JT`swuO`H)b}+YB(jpO5d?EU`Zk=A5DTJ zk(8JCT%_P;9#afjnrPwQEGom2@_@_lScJs3Y>~?tRvogBBDey+oa@snqS$NFiSIiBSorR`3F4p;Ua*WJ&ZuDLq#E3 z%%QGHhQY;I%Ozz#3Fdp$l-I?;UTnJ0v=qXI@i+LSmFDqdd09S~0NNV`9me?_tP6Wq zw%v%sE^*?0672jJKW_pS`yOW=yb+ir+yD(lp7jaHaLHxVBofXz%9&`rPhd?VDT|4C zQt=MN7whpGK))A=ek7%gBj~(_1410`vCPdTamITIfdZ&?8(a4&FuW3+r72`J^+VEr zR`ebucjjT$s@^?G^lrqeRjsW@y(oW*9evTb71j&M?#n<7({>s!>T$J)6sh$bK@Hli zSMhkF_ja^Q8rH{|8!ZDjYoG0C8Mv`tRcR9Q8$5N?@iq}rl+@p#Z-R6WSvf!8_-Y>H zenf6W`B4%kPkGcPH{(|h$>@a5dR8&)*?^s^S^K6veM6AT9A|k66zKn9J1uqKmYA9VUO`(GZ zDfoA)<}~oO_Q`|H>R`b#R9;D?{?GQd7%94pfmc#~1u#n(7}z96rz|e{8~45KW-T-y zjn7v|9&X~o6g7-ZPZEMV%tk6P8?h_n>)qES%tivg!>w!nPh(|LUv}OJD(Ic#wzejfre_&T;?Fdha zmP6mvbgH=$WO(>0eSJYv9c;(cTiuzJw_#R4eO!SV(4NCdp098#%pN)}a_wpwQWDGS z9WO7nG*%wtwOOA){qgnaIBL;QvWceP>KmQ-A!= z@#p{5@|n*}Q@5cvg0O2k$9nw#N%>5|xo=!JmqGrWT^wFbOx0{!)`7XihnGsqhgp1*@nV)f%h&*J#>A%MEF+6$$D9JTe>NI4 zuA|cYv!6_?sue|r8Np-oE4mVojURe_x6aCwl!ba-`-dRUqk~6t+jT+^@Ca5JqPcgqqzFmU4o_wjV>v19YdThed zr}y;5!eY|RL9<&KHJH@~<~h$)(k@a7HIrDp2?HsHiG3#TOzSO4o<}j;u@+*sGZV`U z+WdcEqv`ATNXTY3qe5kUQ3kFWG2hA|tzeLFO5(HVdkaV1~DsbnH7o8M0`aT;USSetPS zHyA}H_jx2Pe`<0c`g7vseg!Cq$^Az;j6_x)YQp56=^SdoY*uu<+hOv|C-?8L2tK+0 zSa)}v-2V;5BuwtnBVzpz4012JZkzc%$q_!kZ_Uv=*-y>y(~$oh^Lvr_70|RLEBO3A z4*Iny=%1h8<6cel*W>7H=&$!EsmGi^f7eF zbMY`LU(Hi=?6kf0PD@poMqO^(d#uy48qlBK>vs3nJM9b(>Fk|0mmrie2yHv++s|q$hfjvnqAcaH;j7nkwY}Rs0Uz;N<6WF%U{213TY;#`=mHQM9 z)K%m}pnsipJr48w7MNP-*6p6DSdNOVKRttPHMqF{a#5K>%`C}VumrU}DpCv4z6Y@s zt{s1e52YZ4VKsIY44UCq^iKI0!;*99Vb6OZI(r1hQK-0beIoe}grOgwgmolHCmMKT z;;5H-9FmF33K~Xn8b}wy&qZ)V@ob~$S1f{e=R>-?eRrPSKh~A8--{w%M!#>x z#rUD|mY?89E}#Hr?d_=4mnHti3O_7My&ag7;nsdB;AaCI`1ZC}&P z0dFq>95wfT;1CVgUO*U3n4yCUFdt;WbPRD0PueS*l)@fG7}9-u11#KwogRPe5y}|L zA@LlMzv#dzM=lRLiZD99xe#6$E0sg5q%*TZ={mOLkZUHQsIL@a2XFN}G!>;?&a=+= z89a>4CLM@4fzJ`Q|h`fe~E{PGp z;}K^l;^D-I$%wEi^SO=Q?8nxWaWr!Q8s{g&UHJNxSd1OoYN%vbp890gUHZC|cjlFc zjUE^k^}jM+3nSH{8){)whh-UgJ$Nm?_>cp4bNrs~fZxsWtPDS$ibuh8 zKaJnvyaEqcm$alaADsoiwPkJTSG}w~e$_~^9!p>lRZZIO z;UU@h1ZCrk@i6y(7qOz6TKh7IJM)W><8%wC`U=UI)dnuY>HL|t6Sm$YA6t+e8Q$U< z?z)E7*;1X?LWC!#UaqJ91gUfCu)qBx&L*18Fn^IP?s0G?!6|z43~t)E{jnQ{kAVzu zK^hGu{kZ!FK-X^N?$2QJrCkR%lj6`k_j~|El#9iFu6obiFkz)JtE~y^KPbyyC}TJT z_%Rkn40geO%-d{a5Nv`2n^38Lj6-p+)=njy!+{s!Xx83>Qi=d40vOgg zz>`2q8PGnl_*WCBYFb6Ivji^i*9!Sbw@1vN>pW`1@#q@dTZ)(Br z6I|(xpRepi`0}ea5Wl@c{H1N;H+6_Vf->Uyt2)GQX%oMuL;SmK;{Vkleo;bvbd8Dg zzxQyaJnIa0#T**=D(yX@dr6}Jb}in@)~zV25taHCSPm_8Bj;Th3pvifOkHDR4J5}O z6hy;7oqderEc0RLn`{9`UQ&)VQm4}MAMZkpD@(YcJWl4&W{pd(mgKFr$i|q-{P6mq zkBq~qrv!b4aKRBXoM%zM?SmDBn@Z6!^ZAu@tS)XrZN1wk7X7sgo z9J6*74}aZ}zi~F1bUX@B$}5x?cJnKdLARu*aD+UM5QrhFN`e@2DX%O5zetKovrtJ{ zlF42^D_)}P)0mm2FN6D*b6+#jSoSrNulORkn&EOOK7*Bsip9rx|Mk(O0Kn^|sK1u` zUyb_fxqo2PPdEH0rl+d};g6*kQ8im6a6+(NUxhY98~4=Tx%7tZTjaPMH)fd0u)|kI*FWwFn(C=_9Qh4GDP0tPk1}$*h3?S6 zy(@=?sC{uV_kfw~QU?gVvR-fq4}3QjXNY`6kQ3NmNGYSB6L#Uj(DAzk>$n^%?ls89 zrwod|#0Gs4IlhAR-!5SudMGpW8P8^aZx$X%oq|?EmNA?4*xCtz zyjz&}9FoA9{UvTq7}k9xrLqg7cT>=g;|`%{JN`y58H<(~RBX?|RB|=(U}imi?t?>E|mpBGXo3?mNf?J}4TQlR>St3kj|2B(x2cxJj6&Qal~@ zsRvrS3AKkA95;r(Rr`p zqfX>hdV_r1#GoHkh_GcVx;h<~s;r~xg~vP9iMU&)#$r>4;^1IW1JK`#H=Yr=Ya?3& z#SQ_Lw8v|(1Xl!;)e&DH7}$=c`lb!5V*LFX+#^R)l98WN@W=p;$!JK38+hv6x51JD zgp{zpaW9fsyS1=1K^zp3GJ)Q1cG#G1he2eKB}7M6Y^o~>$8r3)S!oMZJF)tvIvh@+ zW<}&yiiD9tGTZo!bFG(1>kV&;!B(?ue5%+6&J?MGZw!v}ioq~5FJlKa9BO7y2$aueQe?Y)ePBUmi zT1qo{$%+-PVP~++Nh~-rKwf8rLW|O2*gul^vKGEHXDcqOW)_4Wu`7AyTJNb&!rVhB zi>{CC(Za4s7ria8+1gCZs)}bs86R*ulmuHL*t?_%-fASqjlOpxnh4S5^Lgk(U{ZV# zrYO}6k1+2L78TgXM}R;Tf^oL4hs#fiDuKmlKbj$R4N{^zYr|l2PaXGMUG*(8$tPJm zm&(z*>aXDjkelMCeoR0*TwZqB4s+! z8yuFFo=ESJjNY&X8%dS24g~oH{pK+AP943(!%FiB;FGMmeUma4zG?hd5y#BslRjCn_zB3L#W9ti3czCt`46a@;M33H%zMs7Tf9W_6TVy^-(eOY6 zD8lUk**FN>rIKh8Q|?&U1LiGIMoH(3sd*pHM$VrYEoLDD8!d)047g%vg`1k)fH(0= zBNCl+w73j|Lw4$TmVG1!uI%9mDB6ZQ!crS>fkC#e_ocJ$Hi6-s4P~s$Myg@}M8|{s z41^Ir(jfRia}mxYgl@zFdQM#e7fvQz!G-Ki9J34op_Ay$*avMVnVX{X2NFj(R$_IY zgiua1HIYnhg41e0$>j4%$mBG86O+$Pa3h?_=aWNOIFrv!Tt1)V^7$l}&rMuDH$gtv z=<+!xoJT=8H*w+I_auu)C-Vl+6#9=Q6}AQog;fzR%&l=4xx;-KOg?ww^0^a}&q-W9 z<9wh$lTJX8d?uE3PfZlizmS`MMn22Uv_1vyipg(s|EJ|M$>D_Y1Py{lNwXEUk;h=U zUY|xa--$T1WuVX?OFrcZNhvXH!8z@^;=Of56E=qvZg#t~WAl6Bn z&tOYGBsk|C91`EkidhPldU;kgy#@X3s2a90_x=rgv7!C?F3c4d*7|6=(6eu3A#-TzDaZyD?VS?IBM<%!Benb_om2DRIxITg0>LUVT# z^)zu0EjSYYJ`B5y7M(qb06-JrI?~0s>Qh)a0gY;t>8zk@7ycZ3uryTqHDAuer>Ay` z>a&)?YPTQI+PEjH|1oENWa`*KYPS>4{7p|kfEz)Yb1>Dm4&S4XuU7&*Muare)d(GS z6-u)@e@WU84Hu00=;9uXqA5s8;|Efcw7wFyZdDd3f4Ar3@Yn>f$UkaVRKEg0ogaKQ zyB>+@SR3dV(RNV@AK7Swb-Vo8=kOuP=o`@cv(|0vBCTVs|hI$k~#?A z<=p1}HE_X+LL#EGj!#JHs3!J0)K8y~(8@@9Exdd_Qiu6S0IL2e%t!btvwoLx3DL9t zdj3QkeNnCZE7)XFyu+}Rul$}aNRtEd@V9$3V8u;T*3@IY0|zXy+(uv8!kIQL`Dq&A z*X%+B?jT!1FSYLm+VIsh%(4-+her{_Skz`jDeT5FS8*$LY8JgsVoyoUq#YjRWwz+3 zJWs2aqVj$-Tc}(~(iuKl*%W0@37loz3ATHml`nf%Py#AX_LRZN%&KG$?vHqbVWGTS zLXnD0^}yocGTh?A@8QKD;s=3K-@|Q&cz1af)xrv6IjZUp4(rp)ls_S2#JJ5ApN1Dyz;aP>_~~?Mex*>l37k$%+ig1(m8z*443lvB zVy{`5*_jshsB$<$@dtzA?rgy&KXyUfDu`$gPsw1#w9^IK^p#{lp?DSyQu<=zX&u+u z3XVFA77yW}_jh={MA$b#Vf0vV#puykr*W0RV()ppR}i1wvKNuoNqI>6J^17Z!qRTp z>ni@tDeo2o-{3F^b~TigD`~N(JDZ@##uIz~WRrUg8>}&LI%e8FN0ck3pgertB66p93-+? zroKi)= z*CQMi*at#P$OG~U;KNdYA)iIa(_hi(-UN9h#~ZKEHEc2JdN*uZ$Znc=3HHczsCpeR zCHrmSJ4tyli@1$!oQe5xhsjd=%}>1TQaw0NyP;Jm{Q#+*YN6>ecd)6U{wtkZpu_Z*JNMIhsg^Dz;NfIXqj!`=jkc@|4E9Y=hX!mRZ@P=H zVBtdbW-k+}w1@bVOPYl41x})WK+;l zO$f@Pb_5-76Ym8bD<~j#6V%(lZvPU(&b0z)Rnw)^vZp@2kEPuR2ydswd_5Fwip(vH61r){B?Km^s?MjamA zFik2>0kP6I6M|y$Ft8NA9kU4fEj`w&L}eZg34;_9NHx@oZru&*u|=Qb={|Te5pnbg z~GL|u`skOZEsw~N;J zA-vgIQjwGgYLGBbOF8bs3YrUpz$ZYF%5o~EOKFJeFBSLCiuMOv{&bW35|>hlq<+t_ z@YMvXkVsMaG$edB^rI0~&={$4lfw6ukr08DUUu^pvnNZ+8fGwAybUc*rxcl?@f9Es zyL+p1RNy>4ustBc0C|4Yxda0=-L}IXYiGLP2wahJ3ISAXY987XTpW`R;T$D%Giy*vdn(7QCQR!yHTRDh=?fRJ8}s`Bp!pL?j$I$A|qvjze588A+q6T*YN1a=?8qV}o58c1N}icLh$H;!;YeuMSa6wZu8Jwr(9^0k>Gi;wH{@ zI-t*=?uMqKQ!CfYAUfRG{{SblE!fdm4r3pouEdJb@BmhZF2{LV6jO+gwVQAU2soWw zjiahiZnC==|FA$Bhi-~WkuE9WoF|aL=|7>=gdjN(z<`V8Qn{6zFX+d2Yu*@+?`8C?zXEJXmFbBTVT3*k3D{fwVBwS~e3_vGfTr zX2W$EpohnZ#ke~;RYv__);~uw){4cj8%`}{0VxPTBbcw{fS2lk_0zX#9jwr^fs%hf zEA@#s1-$>55d`>dhtYr!7_egyKwPJf?E%~U{Jsd-djKO5UjtXnSFv*7aiC`u%m=gz zvM^>Qo>-&OaK#}+TF>7v1m~+uhH|^ziAV-pG>pgPC=mHZQa&# zr6qZo&5a-p$Bvr?@p9%(;@`_#k)&l&a&K^`Gyk;vYCRv0N#{)`OxHbYG`N?+Q2|Hz zB{&-3sKDr?m&b8&%6qj=4EI;)D+16G9GDWAIL<4OqwRQsQkLu3@e5b-GIVr|+7j%k z0v#*R@qB7iUYXbd-n6s9TXrsZjzoBpy3PuwgmJe7Alh{lC;M=>41F|4C~YNr%Ry~2 z!co<1sw(32W>R9!^b5+TEMfW7b@Vm*3SwGqGj5AxfJ%@FmYry@_cx-!c$#odbbND^ z?sq=~&44~U{yy^Pun@xG_&6MQ{}KlLAkx^uo1^n?Lt|XlvV4p3#cxw8`^Qo7; z7MSv0T>g_$>06Srj#rGnG=3wM5@a<6YA`^08%UGO=3Pe=Hayoo)C530;v`(r2w~Az zjA8||W}s}Q!dHOSQJSd4idtuYk7sxX8C>$=@YT`!(s@;>Sfzrb{H^S~s*E&X18O!W zR^#ZZ7g=2fSdeuPypV^!74V@mFtrn%;h!jU%`W`G;xl}8oAD0z(c+w{Wr)K!h@|{2 zvu5iCOf(;5iv1~wCI%4KZ#LNQDQ~Cx4z(M7sPUTd)B>ehgbPh9NW;RaF(HHe5a_0> z7>s5pY^x^^7h5o%!pEg8sN=59aZBr zM709<;Bz%F6QlNh`et3?fZ*h3jG&}LYJZJRS_Gs(;JK(T6$i4?QV>bTH-U$3ZEyVJ z<3~80UW+xwOdKo_^EU~qieS)_^o~JF$~7?t2t2(L!GsI;IC_~*ffqL5t4dCFC1-^u ztyeKRu);7Sxr@{!MbSM87MQ^Z&6zE_nG%?x1`9vX@PX)O$ew^`h;#+guM)Vp0c~wt zTgwseuCEUg{&T9AAuw8nH#tiXE4Hh`_V!h%Y+Hr<9yv!9I9s2+3f*H>=o+sA*; zq04h+ct@N5?NY{NVJfiSy^7R3dlu=k=JhE0>2GZ%{j&_yzoPTP_@2v?52I%Y6*S_f zz68OD?iA1&Oe%I}VIbw#a*)=cgW{YvfGygcLK}7g{cH-p8wX4H`9QCpT3$7k5GbDZ zR;0yPei&ti9szmKFD8L44YPZpAN4_`PAFVi741h{O72Gvkb)BX{LeiAbz)N~;mE%6 zC-}ZZdW8vQvdhGHl3zbY`?t(y`VU6_mXJ3AFN$h4%2WHV`lRvGwEo?^{DY##EXIF&HgRe~W42x4#r?vGq; z1n1Ggi+_xUE>0eBJ?S20@WZJU(pxPsK>ybI!j0SINY6kPuDsMzJZV!OFiVYBmYu*b z%VFc&bwS^Y@DnL)YpF(dva#_kKp4I#7rsFsPuhX>03@Or)Iornh*o42LkkRX?^Ix9 zqK3n)aIJ)IrL4kHihl0*z0D5^rMrM*(6>}C973MTjMRE@UD^Cuh=auFNeE+(AsTD( z5onOWjsSdj@Dr3?j#)h&%$WHI?nT{?5bYw6#wPnwQ{S%;hb!4OQ$pn>8U`bk>yg)> zZ5zzSs|D{Ng)PF)p@ndZ79;Qhyk&DqB6LCJchZ^<`B4o;B^+sri4R@V5EW_yOlZoQ z0^oYtwA_nA>F^v11x`qCKzmRx_jX<`#fDyjdp*roD8a`(!D4U+Wha@0?9td?=-HbI zcw|1shDIPI>b?it5g@jC3K1I(Xl=YA6j zG%{Lb*kewumW;+K>0r{k-BJ{B1%Ws%{> zZRO*EiH=sA61t!SC&ve+JdRS3nK+Awp>uqL34(S7BB-$h_CBdygtx-j-`o6%uy`S$ z<7 z_U&m8JDbB6d~*O5A0b)CI^^t&%Ub|FoP=+8DXF*3raJM%N|#|YA_0>y8fmj1Wb^(n z0O1axOPL8lrw_9VS#5?4J3%kPbQ&`XpO)M`D`WquEiH~BUQG@Cx`)M`Xjxz z4Y5$PYD|}4NhxxV+^rR3n`qpGgyGBEj;{#H@#9{vll35_&G-qG+X-Ko%$~V~-yLH~ zAcnsFVZ--XX^9~BpX;dYn%vi-lCQyyc&f$p7S>B1!Bu*aw+8#)O&*QO2$}@md=FZ! zf;uP^0|)EH6r7G=1oT}`U5o;fdBAn+sasLN@j+zT;Pdm$c46?ba3@>E9{|WMH?nWM zM(JO{c2Sdao1evq9MLk-o#~r*zo?*DfS8=S2jS>)pud?%&BhX31?hl@tfENtS}ge- ze8AYYJ+bhU7j%4xNbCWy9h{(p3|HXu^H(*0k#8~77d&vJ&IrXZ*Im}@zGQBgu3 zN``6*i{~O)MJ;@&%?~qB8zQMT63K}Qk5<(4sLv^ih^yK3C}%}Ek6KSrOsLSeV78Ft{{}Y{(qS+gU_^TaV2c-)!si5QYhj z9n)XC#R@Yx2OZ1sGjGNT;g;c_$ipnz6kZ<-@15h9iaA)Un`E*X(4PQju-f-#Ff!e= z`Zd+@bLtA754HP&2l+Rmzg>!S_`*)DHc$^-i9qZVQQ#+9A3bmx0%^quf%RH<1VY*` zjBc^rE%(J`O#I?IJ3f%CYuIu(i+9$CMy#p{rM(~;Fs(QHK%CGu@KDPVXJIP25&yRJ zuj4;ww^Q}3rA)taP-zDl9Q&IsM1-G)%q=y!^voc0fCo-{x<s0k?J51>PjVyC;3%>f=HQcxr9 zBqp2R|b)t+DnMVdFxPVv#C9&aX0msgLagSXrdgc?*P6mAh zl(Ck8+OREvm=eMjH4Mm17dZ_*0Oyo1!_ufjJ_TjrP9OyRpbC=??c{%O7KACf)6Q-Y(i?vWj#rvPg;i6boq#Ed4V^?PQy znw^1p7?PM~K8l;Vk*OvF2n;}o=7BMoZS{*Nn~MG`xY%1@K!h1o6Be$*R0t_E5fERK zBE(>NWC55=EjKa0ZywTzo&*r&4m|@8J|^QWSOLWy)@hp{^0`*_1q{`+-6wdNm!T0* zh1ZdY4?unH;uK#1iNGnoAQty4#DU_=7{&Kvt&vCqO84*<3_>C_;2tJN3P!;v@6bA2>zkd%1@1nXdF_G}B#wJCof@$1{BFMZjV&4{pQ8>ou9lLW-QxDmMl z-w1^{`TbD` z^lvoNwa)u&$`ZC3i=(;yFu_3u*@9`u3Qk7_Au`WVLE4``ueuCe(LPzcc7*`np>}^{ zN8etB+M(AFU!;!KkS$rAwTAedJ5}%7&;(?xU=ww|&!D|I7_x(y@j5gTnDN(05StnL z3!|LY6|r1v`2=C$G}@MrjQxg(!$@sfFS>{E1(62FkkrbrM3HWLv z(Rya*Z0vRJ!0;ja80nOPEoTcEC5T&N?L|?7QaInLl~HG!A>t)ElLyR=6uoQ9!6jOz>w%UF3RgBlIW6Gj>U^N z;reX!WNk7k%0|rzO!})7?=*%$c%ETsrYIXZ0t#z+`+`haqz!u3#h{87TI8Wt)H!q$ zAVg_izJ^Jp?NE?8%^g^@*Sm0!DjExT%PfQ><`VSRNX%*ZJ>vA`P+UxhZ?V0A)q+#3Ygh=P zu<#}-1hmJ@_j*zJALP9Yc$C%E_nnxDMh(3a1*H`=Dz-rp!D34kDkBq}(HX@SBv?TE zMCrLw%;2Gbfk~9;7No?>yUt`6LK-pozMg}rVrXT)sZcC z3Qe036t>biSyOvp!}O3EMsicOZr!8oy%b~1b{CWI zD>(_XWxoOpSE4v~|BD<<*;gJ?_V37yvTsus)oDu>-K3(LJe)0LdWUjwQK>hi=9418LB1MLHzM`6t@SiY0)5>}_#z#dfy7 z;R*TT32h{z%NLWA)To`N*D^xL?}^M{hjxzG*l2g|zF(~ybrUHHW`2>hGkK%S&ioc# z)^2je^jCv# z>X_G{1Vn?7J73cP?7(vUKxq+8@rJjup23+W91p&v&Q<~2n_ag&FAuR^uN z9xa(Zap7avQ_MN2h^G9puTLX6p)6_8Tcb}Lx;(TxVOBDVcKn%{Uk}DbVD*aO$ zjXDiX^YXQn7VQ%o6(s@F_Cu6ocLatt0qNY|1Oxk?N_A(-qrl$epG*fib!SpXLDZeh z%#rD5T7Mg@xB7i`HyeOv)dEY!2daE6mqM0xy7a}*yoF*&% z7JrR%(MZ2|IMw}pNWUAMx;s&}GGzE9#lF~ZuW};{W1u&TbEFw88#zpkZVS$7ZDd?@ zE_Y`tKvMs+kI?l!{hm7C1U}F^@C(_%%&-@!Sa(zk5enj{7lQVAM+07S9l@`fU`rVL z#^e%4hgo>k8y@Zv2J$*ab$F(A=5L1N=xZy8`>bzTOE0OlrV5(UQumNYPK|$M>2!*% zO6NDJ%G|dN?$s|s6JpUdC2f;ksNjB7Vh)vi1BqSbm}-66 z0th~~q){l)vjA!}>z@49yEWE4G`eO6`jmytdL!y@0rz?@X3BaNGp)Xo{G8=WXX^KY zX5IT27y#@jFZs!EQ~CLi5D^>oHNv6jIzFsedldl;Rhim(6zzNpd!guAbijo+;&?^q z78BIQMs#rM&ceyUu+`qO*N95ibar02WJGM#Yfl-%6uFVhKEA+1j-R#;Pk#Mv+y6%s zm%5L>p`xt-7GYPCd*hZNE`YiD_cFW{b>Naio4tDm(nCftF**-&5^!BXc@+-+@(R zIQeD%9)z|0!m0l}$vuW4>BX`PGntEP)F0?#j`e5_FpJ#}7`AWjLkX8+B@8L2HULOx zJ&TmXSbYDtbotSAxorv*FmEvc2wDyBpH#al<&H{N;2#P2l{a&NV;1;+0sq1R-(Z2i zCE!2y0>0J)*9rJX7Wm5mi*w%cmU7JqALjv>X$;Rkl@PEMKu$C<6AS;!$YCXmz3I3< z@6cOQoooA?50tEErEqaBI==b%-9cw?6J~VMwWmG-LupD2k|o1DR>OSIpqf+vCQ<1h z6Zsn(S*6GwUgRo8vVIw*tx|gINk%vM(vI9tm@OJ-W>7H?0uJyuCBUA+qM9Y-$+504 zFTDW#al&jD)XSq>>Sn+^WEf3qQVddx)Fm2tbwgI>ij@(MC2rw%auYkQpN4pp8lnu` zzZt<)w?i51FxEh3ir9sMq-Tn_Ih>f=Kn0FCMFblylh1T`#0@qb7P9@&kj%^wOCr!7 zGA%rAc*zK=WRA+@AJE}%@sVEB!3B0YK!3#z7tyymx9{Zn`w$e==|@`uQe%$4PFj&n+4{4LqVMtuVznswMCeAq=R zY;Y`LT8fIiqZ9;hsjmfqOue~RDnOw{YoKUAzFpEDPa;$`GoMe7jg9)`59B)Y@@$R= z`Of5cyvZ?oK~EJ;ZdUQ39Lu~Mmy*cj2(L`N1Z7*@MQXKq6TZwTEUQzNYw z9kXq@6TO@KwA>iO)0=_ZQT-@0*||e{Zo34@GkfUHRk%v%(}{qbyM?YjpPa3s+U}P{qF9s@P9S`D>(;U_+fYV8T@~#v%C9o{(sIb5-WIq6<)QM z|AnyW=lCB&*hA3u3;gfm|1_ra1^oY!|JD5O<-eRJW$bZ#?Z>kpRn9D7%-b(Em8PXK zZ?}fcQYwx2qB_s4uuBz=;|$^$A9@Secan=L zz+{Y#stfk+83=LQ=GJP>rr{&=$~|bIceV!v*}$7#_D*R&RWFbPjL)acPDjr$Ykiw>Hw{p zQ{Pv>A>%1~KaJ_0F!oH>ftc=H!mrFR8qQI%-39-X0&`n(+gEMp?&LYO%~x=K23{vS z%JXUlhN|z9jt`dipTAHIha2No(+fK3pSs7(;MZOTVLNhu;|9R=@3r5cCcmGknye_7 zIA&}eSA2zl#ELRx2gdk!DEpJk6%@ZqFw45Zdy!5c6f+hQc{OJMJygjP7v3)D1s2*I zxq)dPoBlj$_2qB7>rrZ~za%Oi>;*D*l!u*P?T?ko#Nf))+A2Fn_bHGS^PKs2@#}xCieHQ=RT;DYVlU0T!kt;xmFxumNcl`9 z9LM}Z8Uq-t9{-Y6s?vgxiF{s>;e79gUCpv;-Fb?uHnxj8oN6v{Ts6}bniUg;jY409 zbs*G5q3Q*Og&6bT?MD&Wjp##Cfo6uc^VrtgQficFeb(EQ7FELK1qPdCv>`N!8 z3+o0dZ|M(CV9a`qX=cy1CfC8lvaiTIcy)9m@MUi^?A&CmxY)l%abo!Ig%WQJ1g z=jztjazkfaIA}WAoVoD336)pT?p)p8-5jpoVfqMBF8SmILV=Z@{S*jaQlK0N?xZEr&FaEQ#oVnEF zSfqnk-wMXphT<Gbm=X=VH?xeaocey_SQkJN0xG;hu%5c zTZ;Eh`;fC<-N|ep_G@#wjT>PD?bpl9rY+nY`NF~I3jf}f`88ie-^zW}YdC&F_EOoN zWZ+LKF&`(JkCVB(dbLxhCI@4yxxaU%pKG`>UM)khodq@c>$U!DGp=j#X&LHX8%-LY zme)*eI5a-ghAT@leO4wU4{#X?P zM!5P73bhnvJfd;Fzo|0ut^818(m)QCTvmjmnYTlU2|S0t6O4W2^E>x77$J)hTk!T4lEwVk-8o!k&ij8WLbp+sQdN4zx3_rCRM z8b${4qHK4&fsK3o_o2xo}Legac-3gN_&mXp#HC zSiW=_IBRH{s`@3qE2)C}iGB%9xfj;zk>AP`v^&;KWlV~iv+KK~Ukz0oR3xfig&~38 zl|D0jZe&(T^OTr#dY<ALz6jhoDp;{D`Zs(9%nMdT+nu_H&~OLkcu~&DCGP`_nD|b~q;-Z12}X=+U4N6hub@m0 z19)3&qYR%4uhZ#nMvQx#AKY8HD8FWyVLZ-tzIi5r8R)+2dP?M+zA3SkKvP5s&L19@ z2ex3vct-k9?7;NGCv}!jJui)Al~0{)J@L}+=$oloz=z!k(p;CX=EwXNICVb(frao` zG(d*9d~oJp1+l<5cRS}a=W_a^oVg+bczii5ZG2_=TFGfsOe z_D#Pr;9dWIZ9c-GQ(oBrT$$?EiG#}Rsa$jGF|J!PM9HLsjMyY~JFkq`Bz$p=Yv*5s zh{I$vR^tx#*Pb0^MVE)n1@0^(_ig4r`{=0#FJI<&k`JFp;|iZVhlQD3PHdLX?)-H% zV^oQs5emHvxYz&}3%Ff?#m3J?_+@E?Cxw~Jyl`F_dWdxcZpGB~_1tWU5Rf&d*r$<5 zTxw@lW|-rgxxb-}XvxBZ@bGpJFX9jIEn`3K!5GVJ%(!0q00Wp-PqTf%H~orGe0M1J z=0OwkY5u3xIXIx!Biucdhg?wWfe&iwqf(-#Ef)3pKeVJ#TnK?}+4Uu&E? zwiv*k)%o$(LF=+}XE63QbEo8K)0w&cpx0S{(9YcBNND|UX8c79_W#h|XzB&}BN%(< z<6(R4c{J5?++KqZllB^XxN&c}0)Mb~1m0yW(stDZK(~R_C~6 zjs96TRu0L^=U665Urd>>W3ui0wM?#kzeXCyVoh`_Vnxjmxjmy_414V1F9u(5IWnc4 zx6!hKKm&rJn-k50qNKi(Sx{dkxpf})#c(AeYO`jkFjJ?^ia>NC-S&35274?Q$K(7;w<3rN~_F#3!c{nP&!`KhG?)yxb%n(?N6 ztkYEByiEHznIt(YM{#4vOY$eW67C^Af3!7MrQ#2m8*ct@_SppF6n-l zG7CR>z|`UcJxne7?9pp}v#G_mZ7n2VBzz}zx05C@d`?d#etq_*RbnPFxs{+R?B9{( zZ?u7|qYq#%qvJDAP@4Yq9+aNXdoO~1^yhD_8(6^mQ36o=^{4YWQtT-5EQKjjLXZ9; ziKhojkCVK9m6*%EP<;U#f(5Q8N|V&inSC`AoQUDkY?}&^qHIXlXh0r+1mi>CZys zWnq;{@nyZ@Wv^f%mt@~$Yoneiq4IXy8 z^<_y^g&+JZKW~|qz{U>i3B~-u#^_2x6SzQu58A->Hn3)Pvfc)?dI3L7*4TjMUcjVe zwGDXM3%D}*bsO*pFW{o2-v<2J3mB9v`?{&rBVIuNm-A)gPW-`w3b&rvc`GQ{ghrN;suFjDV$F5kay@sO5BI<#XZc zcLM5K@BKl_| z2>g{7D1z|{ivqnbInRr@jfmK++PvA}fcwMeWWJ0q%k6k1Fwh}Rr{Pdf#4>>dSH=Th zEjJN_gySD2FZBY4j%f{ibtD>sR_=}XcXTDb7iczJHMT7$_DQA0z0ySIQ>k%=!I?}bWCgA`At0YLUUF%@`zM?5d8yM zDwQ5~|0JB5{Y|$LUx%h-EVo)0qj$6=D6?9d*(l9e*>b<{1vcacUh4%uOrSh7MGz?e zj-MV|)DKZQNuh_`8%Tzcf z$d@hlo@yE2+P-1`y0uY{#7N8n5o2R5{CDRgR-&sq7qiCuY`(>7%zC4Fdx8974C7uQ zU#UqSYblon?T3~1?>qC=B6s{BIr`PzZWg(CPphdi3ys9RDwdmek?0O$OlQ}?ZI_Dm z<+WWZhrW5OmoBDWm;TEJeQbib%+T9nPmKH=Rm7Jmt5j97g;md))COO2c+1jarY(@q zwjQzmQqTX2bn#om#HctVI6r8c`*j@CH%aERg+u%vJsnWS+vRZ{q( zvNP!g9jdM~r;sVeL#ASA^$_k7Xuq1NK+C`TBC8|ZZpzx}%F=iEQx150~JIri*A-?Z86;AteK-@7HU&(m}vN zu?gN^p{L(OsNXr&DgBaj!mCc{LV04#aO_s!;jGqrcu~^7M92rgLl)rHAH?^ufa*0S1|l&> zd?Xa#Pkl>*59@dAVkrHjV3JWVYyIHEe4orWp{%zUCKLb$2<`HmrbeaLcq~WN;M6^% zDjqr>Iz44gVGaj@`<55f2WZ_pW=}4QRB(#`pY}h?s zSgFEF{K;InQa-a|;1#AZXjFYQ2EWm^+6@|m)w8e99ONX2688C2SKjU!_#NJ`Uh>Yt zv3%H=K9;FTXWwehA^%Aw)7Z{`HClAX(P~`DG!yn66ZY~Q|3z51B1 zeww0BJWsiK$?+%KCDao}xrO)K4PVIcf*atZ$u~Kr&-O(97ygY%NCw-f4aOzM^H~Y+ zlcZXixE1Gi2Ms4q{(}6(7zDTMCN)&j{)qx--)mkSA?*00@wDc2IM^>>>tc2K8f=PX zfcvyb$>gvONSH=Ggs+K>Ry+ zOY;hIhvSuH8ncUUjfMW?Bn$nuQ1yCz&&EqW4P5)no)qF%c7!XEjuGC6ZB0G0M|Qb( z0GMr@y5|XCo^Gn&c-z(Tt>>^~fp@Vrxc>{qTW4L2r?!2nVG{S3`|#;ZbvP#1mW)uB zOh$_G;G(bL7RHQc`kCY)!7v}2(WXaIU#GAfeQsubEgi$Dzr&D()q2k~xU8QE&{EpY zi@&!4MvdUcv|v`n`f{CMjiW04G$-B|QQS^I?J}*u*^_MrzIK^eZ##7xl{m4?EVNfC zSz9c#eCIW@dgnE>X6H4tLJxZ0orRGSAY;pfzDPp}e(jdE=Z`KD-xq?VVHMI)wPe*KtW`~aPf4+5LRM<}7{8tmvomtWBUtSUfQ6EWJ$NCURda>= z+|YIssEYlQ<89H(_lmYU6G0q}cy6eXMh(!=-av}bpMb=)mDA6X$M*(Og#J=9n4+k; znM71`RW`Ova||_a;Mc2p-v;WdVAVI)IyPI`dBE7pE;`Zlr?OII6`?=XLm641SZ^Rj z=ubco^Aym7$tk^o6rsP=?WVHJ408bRHrEw0;F)=fi0P2~8!Tz*%1e>f$X=u+eQXYS zeQ<(7e&w4>U9a2x(|=38D1f$@0Q3jtbnr@Low|CyT~|w5CWP->j7*;(e;|gmGv!~y zbuQ0b;Rd?-eN;vUFq1U8#TJ%sOpdUX5|sX^RFSPzO-XWq zjZ=UZSCWm(vvCUW;`(Rf-YPW>Re%>)mW^w-aSHI_Zp+5~(Z(sji(8V7Yp`(&@Zy@X zaWyth0bZQN#BSP9W#bg!#XW4(*{dXC%QOpvrP>Jau=K2){!FIN0kx}Rg32Oo+pH;I zyYk6k+!YsF^sHH*d{zm1VuhROrPzz!@nzNo#ndLl(dvg_q4~Tq7b_SwNwFWGNK5r6 zlu__%Nedn%6tq!*{)lU|Egav-Zc#RFij7l%7dI^%cd3n2fETyei<=xhbRS~_Z1HsEv{kjw^r&IWAD27Gd+NwPT`@SY8LF&nVe2E33BSYrd0WdoMlfWLSF z$0e&S;WWn2_-TttQD^FzH3$4G`;M^~Vz8G~{SHU|&my}k-I@Pny;#P25$o9c)puSb zEzosz0oVUjcO@_RnzU>*hE^}L%*=j(=HFm- z8!N8A%%&gRknmPodaqM?-(rRukIPAK%z5qVc?}|4>Tjy^ zp|&*ctgj^wkOmJV`8_&GmhrPov51KExPOV+SxHD2 z$SoS3MkrPH7xbY;s5(ifqO#%XVugDe()v8I%tm#XsLEQB6y=65vEk@3>vg3_7QWGj zqj9Y7pBp~UhNC2{FUt*|X2Tl^FV79Hvf+yeA4)h4)7*{?i>Ay(pa>yviz!sP!gDR~ z5`gDr+NJOlZFm#m>eDRzN5`9fXeV4FW7L|0-)X|pESph^RR2b^A!jABt!n|m=w0eH zcG=)RnBZ2@ja4wx8M5>{$@`UEY}R7*8C=>sYYESmBGhKsaoCXdywT46t)q+9jV{_O z`=|SxWfv!)2n*8tn~OG#F4{$|Rpcr$h(oY3qun$)aU~auR04}|6EbU_4Kw*SD3q{= zc{UfR?8ZzO+I;(}6XQqOR~@%3 z5ac5z2r?$@5vd3)5K9W2|D%Tb!yeJ z1N9%aJ7Wk54#FXtXa1j$a;D`r8H8rln5^MzmdEZ`oL|!?c2Rybi625^&y*=eftxZP zX?9!>wT~U|Hx{xZ*y=1BjCaXep)GX21eBTod+`Rh@E8+eme~Y8U;_K>J{JUa<4ZJZ ziP8Biq?QB|)AQqP?0R#pHTF^CJHp(u8;P$8aj!U6k#WOo2z|yfwJ!aI-u5~8X$w~D zaq3tJQTnSomK=6#N{jG6Tv}omm9Z}D4(w8sE6m@tf!3~1rj1x^_-?_|!29V4{e#t? z>@c(QEtj7K-Yeoa{9bl+DM3TA z7nOr=u)qhG0O%Vc=pmRF|FA<>yVqR^0&&ZDU=WVo)1iHvBKg=BzFAPy7k@q_zW0n* zpAU32gzfnELa~nuoViB{`xI5KehBlDw5IW)N^1nBQ+W8 z54Tp_jv;K)5T0&_FrbKs%@ATLDH{i%&nJ+(G@2Mfz&p5ap#Uv&6PML1$yvp~Ja6U#P{9cnFB&2J>HJ6cQT<)XPv(B(Er zB$o*qZh~gPI&7+e`ku2&gnebg_f<4L+7n?*0V}v)%9nH{!JLfQuAAei*KiC(T8H9I ztnli@;3p(;Wyk+YcO-TYHrp2qm2F!i?ct0?^euYg>_Hs%avL>2$Q{7^dWyv2?{fru z7umQEs`J9`3L!jr4rkZ-P3&)F=AjKkOpSP8do&w+h*?ZZ`$O0#hOl*(L2+b}u36)` z*jp!0XiA^dQ$HN}M=IWS>WWQUN75+Nf^C5cvrI-GC6y?sR#C<=l1*GTRuSSj-qr38 zh;heNj1Ie#DuRBq3xcbGzRp}GFUFMJGpG*s`4dc-t}6<~yF-Jvg<{=h)6b72W)+18 zeS}eF+4M8RgBXMEvWRvC*g$J>=Ke#2EknXvPUI@~bWJuYrHkV*f@Wtb*FH@oVW?x= zi=waa8qwFdHHOyK>OHVlv=)A`e9su?=5a5I*urb{ap$--`UtEQg>B1h)U_+OuzMN1npbs&K7t#o7959m~XY zGV?LpUoBkc2T84E3+!aJ!0rR_noSkC%c!}3Fg~ui47ZZnNUn#;Oopor2feVMn?@z@ zDW#=RFmZKeH=_G<&Rw^w?8InLP8WYM_3vV)zoidl;)(jI{*j92=@X4%o`0#4c$~^L z%=M8$?Oa62-DHmR$%)xPA(@%aAc4y}__?~%IqCB4&Pk3u(X|)x8*c9(Nn8U{;9|Y_ zh6o#BoBZ*1Kl=jlmzjf^W04>VYAy`LH+VG>hG|CToN2G|^p!$lKIpgwF``5{rJ#y} z=~pNxqo&8$t#w4EK9^A+z^T+_+j-L^s=RiZ*AiZhGPwhLK5c@swTF4#YUcM^x>0|X zTycYgcjEwnnV{&F6NfdKp)>wy@dnxkP$2$B?Cq`~hf#uwIqZYU`VrYeZhm_6+o{fv z8d#oypcj=jjOK;whcIwyagx2gpFO`c#t?NSZ zP9CeJAERXt8HtvbJ)|a@mOW(US%s;!YX3qb%@VRutu|2CBg+zS`jH0Oo>zwrbVVQi z)RD&awG)|^#kXxeTRXcL+YxN`WcZ=R`(?t$vRBV|ch4>jE}`{8BZPRfu$8epYmwxz z^I3eh)pybj`b+xt?Jk$*8D6p&^1yEHLtMXSm$pg5Lf@_L;E}{eOG_+Xp`}N8=r5;} z|H>z5rgbQ}6`98a<>s+mi_M5@)|L@Bp`~QReax&7J&f!c?8F+$fTmuZ7_jN;MDd2J z6TS{yhrZ0w$jvaOji>-Oga>tqcjV3=SG4&ykPuy~Z=?6r?GyTz^<*AXN{9C}aC~pl zH)3%ZM#J{?aw+TqMSKa+_G zbLL8p4RdsLkoS$!hi~%mzPss6E==@98m7&!lfs$%x(Ozkk#wB7FPd+XdEd)3@tWl6 zoj+ybz3<2Pjts(b`9PW9Ac-?~8=MAfww;(de1VH13~UMt-p>+q}uqgwMt#V zD~+Cf8nS|&MMl_=D+x&r=DqiPk=cLB+)twN5mH-w$5I_L#k!LdK~@r|>KQzEoXv>O+HG1?VN>xo$}MB*^4pvWo zq0%~R5nD3cy3NN`;joo#Cc0qr64Hh%I;U3yR^ovj3Ui7Fa|t|6794);x5&UEbws)YuWPd_j_v00rO1?s#_>z&|AD*P`bF39K#Ena>LAh@5Kul z6EzFmF9|R9IfEh%xcqquGgTy_@wM!_vq8SWqzl@->^<=dktOT}&Sc+jIHhBS-fyI> z1*Qw-?WS1S$UEg;5)?A!`cxDbUry;WnYq>0YzvQx_uAT)j$fj{aSJ7+^*PpLU0T_g zZ0|C-H1rfLO6O?ka2LPu2Q(F1=;C?$kV)VkE^D1fLC%DJr;>J$b3L!CX$3`=jBlju zK7V4cyy``2o$^YZWNIRSe``q}UYHcz1HhSsE7xE|Gm*P}&A4pOH8ct=WU?R9?_5FN zHHz7sLJH3|`A=z4qvnh--8Q8#Pk|EiD6T~>Yyxl89!@rXO8fd|e6)<@)#EACrQj0uVl$MYG-SgT3JMV9VmWx@FDGS)Ta z$cf>2E5~7@sgw@Hsj;b9P){I!Q>_Rkgn(zAF6eH6TGb_F?h}lwHJSSa&jKn3hkZ+I zb56)<&R2L>b7qtQ*hNJzZSyTrcImGg^6TkO+(T3V?19ZF5g_E2$JuftFX~(E7h)zE zPXN_Q#03qQKGhvLpUIq0zk9FIeB5X=r#aL_iXPMo=To?sDt4Z0r|iyv~}2F1_;&SA>>ppxaB#KM}^e1N@qkP7#nPjvC? zN|xIt;g$Wh^lmas@237Z%qOB;kMPP7#(jR1zDmPQXmXmY4z(qYBg~IS?`^}xmW4O! zoc1E6@D-SJ1tm)0)0K*);XG_vH`m-ME5!KvK^zR$`8Q6t8I{c`S@}T7$F;|Hxh^Hm z2UtNCOuwWDA2abl1~#!Y_ZH}ZO{~p%*9twbNlLYVw?^0cJk(Z6rwbG9856L=qr}+A zuDqHMUxrNG;x4#rO>sE>-7;=hL<)(NUlkwR6{P z4E-D6UYSMznqJ<6AK}D&>2Lh;jedqBwC`0zROxej+E*IrDq`285vWLFz(t|hN;Elb zXmUQvcj|_+F3zFhGwwKDE%L{1Uz`{18+Jc$;y%jJkEtuW6iTj;U32u8cd#B*l8U_O zeO`*dM@8wo{IR7{lY&K=DaC&*6*YEWx%ahJGF!w28LD^@^mY_ zLh+^$nxt44WT_ip*q7k2e`lyUi8_|G)Ir}Zh0 z(}J;eobT`O59+i#M!|fxNYGZDApG8?LFr_lD8!l?{6-bk3%_l=@OYQO?@oSsH~8IY z@OziR?@n}3XwC8Cx;j+-h?(-L|BV*ZLuM@dw$Mo$8_hXApN5%p(No?S!(;NPu{VC~ zWtEl7J2b;q=F~q(YCa|f%7(&8Iyj`=uNqAwT8Hr+5%(#}Y?oSQi;>PhO<|YkGTaHd z40kJXZOFa+P=*^JSX=&sI94czJ4)Y2V7QNh3}U$N@H|54?;T$H<+-KrHe$eGrB|b- z%q{&J`aVMGPcxIM^!+?F3pH9!f6u9g(>rxeqZx$&IYgbLyfgrtz>TCaa%EMILB1I{wz) z^NWcnpDGo4>;KXGLJHr}Cf(78&o4hY^86y@WgP=#qyWyViU6e#)&%punP4vUT@P(by3=j z20jpe98Q7PYn*c^@M?V@fd>B5qd=LKsJgwIER%*sUfe7v_u`0F9g)ISM6oFbx&)6cTZmCic3@+*dW-p}5FSuh6N zn`*6ag*adL2WAzmdz=No(mdn-O4b^ciJE~3TW@4dk*eMidta6P4w~;ami;%;%@Dv> z$enc$muHcS%!cavD`VHJhvjJFEyDl|Z}AiXX61uTol`Hh6P7Jx^Wm|mSnIS~;TAur zxH|ctiS6%p>L2IDocGg$G#>-BCSU4q!q9z{iD7X%@K9A*=iAh+qVtwwa(;lEQ^(`O zl)DG{yo*oU3C{dG%=~OrO87ut{pDX?>b)1+Pa^w~N6MT-i*bQst(fRRy|GD&4f0IBS-6_{KzBzU3gZcgZ5!;(vaqRJ z;rqRDu_##0rNn`HDHCQ7;GR=WG8`bqhQ1qb=b^1G)as#lT!H@XIgj$l$S3|?jApfabs!#?>th>{x~-#dr|uMx zFzohw&POBN`y{lbbI%)im2~R%(CSe2L|?!iun-f0nzw_A0mybc3&Z)FWLGbrhmW*g z=1%&nud-rgO~TtZp{rf45H^vEVvN#VemYB;35iAoGc;C^JL-DNtzYY<}eYeJX=jq!Dd?=P1mr z4V@&%kb(uvjsk5M%~N#meU{`&Hp?afsNY85pgUMy`9d&%OYpl*c1zc6-%y3rDT?fF zPWO`ns)v6ggmYZ476rYJeTBlAket=Em-K1m9cI}+mr4y1bnn$BbkKcD zQ-6@Ix8)joBY-4s3Il_>7#D05yh<(Z@XYF-kD%_R zNa9-@H*7u_NsK|_Fy`5n@$GQwf=?KTb4gpEP``lU~4kVcHfN$KE}tRd-Tykt9dtEjuIL=i?Ypp9?#$kLgxH5^Bu zv%g^a4dk)a1~Yi7y2lUbN^m$#U+^I3ssZm}cU3ijYw7M)0HE@g2~ud+TW+dyR-a_Sdr8XK-y z$@(?En|wFYYeaDQ6#^A6q(SYpF9grQ_0ol=OKwbi3P47FroggV^hn!VnTh5GPYp)ji%S1 z1C?QKKWxbD4;BNW-;n!QmVWn}&i;s)?2zmaxe;j^s|M`P+65P%VaMPFI|k207=tfC z4&0%aq20HpLJtGZ@ba7ULL(Kx+BW(wA*BNj@LMuiBvCb3*Rxg)KJaN>eiEITrGfp~ zF5lm)%XiTZvucwSLcajcNe^>TbXZ90(cc;dk)7`jwa<{09mI)E9k)56wu`c@j?W8x zX=rDMG^Q@Pb3n_+z7~YY)EbZ2Wd+9vJvgH3EmS6w*rk;n$;(dE)qqa@2Vc^p=iRu@Anx5Aa7re#n_PJ;5tg{VcnCg>hXZ_%WvO=$ zyWFXs47AR?OW7E5A01dr-8s}g`;;IC${1LELR0dRL(oRs{8dtf^XgW2wYTPbA$EO@ z-xAGtZI=}ZUZ>*czXeVa$*FMe*7UaN{ANF30x`MUbeHS<2s*3ZDl7E1yLh5cv0B^B z$Iw-XnLp;x>S6k(r9_6}mmRK%YP1okXJ?n>)m*3yhGv@G(|Nh|U!cKCVX)LA-{bbo z+q7ddGt=QIWExtN(NyK|6RG0=f3ZJ@z@?$C8>kKOtK!3xnfGw~hfQq7C5_d?EaX*1 zNHEe7|BR0ic-XiSTq_RQEDk!sKs`OMzk!<7B;j%en^1SY$`XzEuM#gB+d@2wj&eTP zmhLy2Xfg_ypyr*3nZv|2YLO?%on0yF!4S`0h&yO4_ZRyO9>48VN)dG9RI(VQhJ z4!S=sVZR1jNwMW2>zunT6M~rIVs$!~g=61FZ6HB(533Tfw%fp_jdC6=a_!*{aJ*Nj z^W>@`zdc0|Kaf5-Cm!h%qi6()bv48NI#l#Q#I0hRVxl>bGH@-uuu~kAH+bs6wdr-e z^GBedJ8*wWEoXc^;*Ktty+%BJxvlmB8sJsC&a?$V(Ty%Sq<+riDX7_VGCDTs&M3z! zB)UC}QwaKTc1UA8W6TkH@kFl|1zB_EAw79Q&<$zFtQb~41@oTL;{EmlZ8jy1xeCS# zMOtsnIL4V!c=~^3Yune@B+D4-q<-ZvE=(9?n8Xay?*M&rKzOi{(_-aqu(ZidybWn{ zVs9L<=qUy$cRqG(*e#FOV=}>2OE)zZR3`4ok0fqIrTy>)=V2mG&nDhXnFQuD1oY*W=;An<`Rb8A9@~YDQ@f%o>y{(}l&5(}ivgBx) z&fu3zRD4CFqo#W}-hEW`Vxrdg<=6GMIU|!_j{S1^8tp%i)@I7Y0bS%d02jZd0}d)C z6{WXKE}UCQ56s2aIZcgJ{i;Oq`Bveio$>woH4ph?TpJwiA9jOgdqx935$vrhR<6Yd z{jm}F0?WjP_k(XH8vne+^PB#S)yE&!X`(9@GF~sSw%1>FKId9(^-|5Zb9?Ar(?h0H zTDBZbgLblGio7=tM@rYertaR(Uh12Qd5@ShF*}GsGB5v!24MP=!&Wo!cb=Y-z}c(3 zr}B06DF#A6GXtni*-0DZUPb**dfD+!YPb95?yQFNDWk{|uB zZgtJ^)P2BiA;4(lH!~t713Kv-2DNIyZjA~*Q(g(XW7M~$13IbXo*7T$i(Z^9Fa7(R z{M~QTA6!$giA$&eYZHbxIdg}@V^hx)7EatH+~Y(~qo0FQEEdc-r@v&^dzn>NqHhI! z$+LVofKpoCr`JPXcAU{AUsFQ)m|{tSVQgD%NZ^1G9@2mRv~tch9g-ctPbtr-dlCj< z%fhbW8jDj-qO$eAbYnsNMTKfWiEY=$DExZ?6(tcV|h#Zf*kx8>S>zQ z6#G*@9^Q@eCg4;7ki_hw^jSUqDRR&VjV+?GRViVhbJvgQvIx9S zW)PSku4amI>Lw8gWXV|g8uq77OFMQA2AG|@mN^0JaPw9!&s_J#Uz$U8R#tYjd#g^Xq z1{NSIeH0e`d!*t+Q(~P;?CB3q66k`8=;^6V*Kv%^JV&Ud`!!_eK)4^F#YK zNAlmOxzvDZhU)+@FFK4l!5P3O=39?K@) z);M!-;Ef(Ei^Th`)^G?3{N2T+nV|_M`o2iz>E+_pk%Ie;coj)ZM50(7aVj^3+CU`5 z-eVUI@gOyTV}#`Qh zPM@Nr3%D~2`kSq^rzm`PCGwD#F2X&77TVTVm8AFMbSh%pKYi+_z#v2n!~O={)acX? zN4|A_I)q=pw@}jZ#^sy2rJeJ51zffrD8M%6>RhX*-@wh70z-qEWc6fG>Qq)+oC`d} z^2v$K1s02^R2xqkFL}!{jv}g-sk5xOeTzh-nk$^^*Q@Jxm}aH>u|5)`5qu9Efz+>GxVmF0i1CuZ9cC@8{(e$IMrKW+?%VjPjRF`#S8`-vqv zbNdrc_9v{u!2rJf4+J;7E5nRf_ffQn?itpdTA{x4+EW={M`^RmY)LceH8ucQV*Xo= zt&Fcvwy)L`g+hkcc`JvN$E!2$H|!?Efy92q69jBz`FLfm-VF*cEaChnHaL;qD$#UB z9yQIp7^QC{aasNq3E#gp)gao9g_E$?6x+^m;mQV7WQ0kzfo~#0>c6Accysp9FxJmT z*=o-X8%4E@);@3K4?o9>VH}99Fi*A@WV{@#_Oor!cWyW_0B4Uo3t^F`6-5gX18y(Y zyD$1(z2C@Xa&3}D5OcnR2#>22TdC44QA=pa>d-z~RQ;$#i;J;p%t!FamJ*J3#PwZwl)S@%P$|9fTW?uJZR zPV62^R(VG$)V1nu7-n|9mf=s}^&(^c^Ll?h#%+TYa$|-fw!uNUzk=8BHe*{fY1;_C zN(G~n#KfEQv&y9i>rLw_$~Eq(@9L+3jEVt;V^frSX)nj90A@2>9lfHV4L+eU>@|F7Ig%gBg^(d zpiU|iXnhZCL%XpO-ve8sze!D_sGKpd>jTq&rXRxpU+e!yHjVz<{r^oe`M=cvomzv6 z-^wAW`0b2o^(c+X``rqUbLPvnvbdEb|17h$K4Zs}5R@_K!duIi`TjH}`zvNLnCvSO zrZQ8JSWrrS0_6hrQ4)(&nsQ`r(foFSIR6i8Id`9|dV$#ZD+HAPuvWh}HQKpUGwYw* zDOcj;*{v8Be1nX{>B@5YFBJbM6dSoR-yeGgTr*6s<^s#`d@#JeFuXU#@J=!euj%&n z9F(usw=asB*G==xRIwnG+uS@2f*Ga z^W!7lD5D)KZj?D0FwMUhK@2nJaU`$lP8aKrbqc50OT$=Jn^2g~6gg@2LXpidh7liG z<9Xqg$B|Pwr@?NIz0IRow|TVl&#~pw;t|G&?iVOh=EH339BwFYFN@KAFH=_Or-{W` z){>EoQ!5VwMz*t-pW9>iJSo`ZW@Lzd~_$>QtnOv7( zaxKei-*LwN8iR4xw45)H;WcgovWC~zO#riNEwz&(!^hIL)VKT7?XPV-kR0FyG_adr z-b>6ozq}jU&)uH=^{(jZVco;_CKvaEzd(>8RoM~D{}vP^or~lNQEHK)vGIs|;nE_r zav~sv4~nBcD^l^Ub6;g`xMC|0#2Fi3alpCHNL7)FS9qIdq>zN9 zut>$4NaETe0=4}gsd$xSk8-0f*VC;GSNyPnXIr>pEnno!M++A&vWr<4sWn{c&Sp_g z`Kc$v)5N|$T-m$po%)v;TGAN#El`$_fMkU7`l-zA%Ir}>Rkl+`{U>{0qew?+lq$f;1gOtBZ_B^0`;Xta;A!XsY>>~ zqJuSG2|=mh`0hjWQy_J52f7s2CZ)y3M4KkP+tWYUDaugX*G^y!ulZ%w^LE5WK{R&y zvBUy5E*E)BVFRqB&&|ZLC~J3Oe}iR3nA1d=$}-{(KStJ7b&nE}nQpPXIYSel6e?O~ zWG23w8k7IAoSe*LXXskFut*4fmqjfYVk}<@?ipw-!@f%?URVSk@G!6u)*&64k`u+p zh~Y(8da58aFk7kX*=xZ?o)><9h4P-Ixi)=?Av`d&oqrMS6imyExq`VxTBMICSNsvb zrNti^{u^;;l$nOf696enE@SYAteo*qqz0?vt)Ps9!HE(znJ`pl3U*j+{=*J(X7 zgWQYK)09I7qUMcIV&?9WS*HuIe<%)g(3;;PV0h`GCFzm9@)^P{Z+Kd3?InLyY?#$( zR8{e#*$WBB9ZHOX?B!f4H4)iiR;{F)OpET8@mc`wK%(E~;~1D~-(2<+y0O2xy(G_B za1*hhQvl)~VNaJN?m**_ zalM6pz&M3#O2t7j9C5+sbhxoWe32PSk1&pZor$aTI<5(n1!{^A!}6P$g^vq-#kry7YP zqx$ek%^UrE>YN}#-`uA= z5H~G&SKKM@il@Vx`bzRB#%N%`nuz;Nvwkh!BbF((4WVnX4l!6=_gk`vxVNB4yZ$@Y z&ZQTvh(m3~>@^RuF5|f>-=&Pw}LmPI7H|!2rC*zZ=LEEY^ z5`Id@80k$d;PlQKqo{e@(Cz(39T|*Y13U7UQx#SZR$ZCt`1-p6Ocf?YOMfjiRW1_p}l$?b+I-EZP%nP&7pVO4*v(XEUh21x}+q?TOrbDNQ!A5u9_a z#-(_3dPNY20*6$~slSOiC?!V_y52xID)D@iF(SRk=sP8iYifq!w+Hj(56mE|Of{v@ zi?!TlZT`}y8G`KLzb0~QxPl#p82QC6qP|9X`Xtlz9?lOO3t=9`h623^_cx;U$}kpZ zW1NXr@Rqb)+y|dJ-*Sd$2ZvdZi8KqZ`4<5cq8j^?~cxvfbjxrCO8iKzllne8_&to zSE}D|sa=qtVA7p{xAU%=8A4}&e3yUFe);^}*AdF^MDfjSt*9shMv`O^t5qtF6++#s zqaPTH!d~a0ZM>ueZQGZ!#cSS6%san?oAvksqjAw4yIhxI$yzo-+M2xAY)is3R*KjH z9*edCi#=gWV#nUFULwS zdJZPjLt$>gf`n}TxB*>uXF*oS_q_Hp2Y`-CjwjU;`5?tYaS_eRy%)9N4fxgp{!fA< zU%>yD|J~hP!~Y!qe{QZf>A{~~_KRb&TnxJxHnBxq>8`L-Kf79KgP1>I6NuYm-!4dA zxL9kdyQ)04YY%GA*G%Gw7|f1a)NGFB_jFA${g>&Fzx&NR8(|eG6P9d$;inFTKT^-j zIuCSlUKIPU8;tE&-WyduJ?QOe+ECkF*X!G7RzT5WgL>M_`1x9;LTN40eA^@r*MzHC^j2jic&HddQ<(`LitY-%3fF11 z8z(0x9XYien@m6QA=eY>!~d!C=D{|mIWT1^omjcu8n%A&+CgL38VqvBU-jMU*6iv3 z9g2&O!LGG;_-Y#t^ZZGPh_7 ziOtbBCa)aUGvXb~3bPG>1 zDH=q7x^6i(a!p>%$e`QMpa6Fyl6-efaWH->uzbX4YiTr)8xv>vrNg(wqr z&g4&CsrcUMqfO~GIrL?#+UK!#D)D7b1evlu*Hwc9(@Kl#{LYr*v5r zl0G-c{qFZd%ftAkxhw1^|In3C=6)5YZZ*V`+_3|Cb(fiKH+r%p`KKpoYg!%HckOvoH0Q&>CUim3h?4&5o7Z# zv~ddX;*4s^q)Q=v&;|u~aU;BR$0a+r9PCb>`-*9`IXGuh{N1KdfS1B-qnNl~*f<4v zaV1`ECCNK&oC3VK{@J){8>av-&YagXd0uYg6yU{`XVaZ);}qb<4b8?mHckQhYl|&{ zYv|8-c`f>;xh}@gtAB$3+KhkBa`eqGrq|c#!5mlF(N_N)`@TxZ^m!BEx&!rjoe^fw z_jmk;+~>75OJ6&6QX2%@S`ps5pGCUMOD+H+h?jo7gk29o}p5MA^$!-~BM<1}h4e6C5o}9z^F!@tF(lF6AEcf2{-{(Qglr zVNJ>1EK1T}UD9o)@jl0xRvjC>IMU(N|BbXrpK5T9^chTyT0+ufAqnXRUAkxtXbP|7 zEmXb0mfudVP%buaKi^=f!%JAvmm<)Z{3=hbaT5g8J4$tsQHp4&K z4A0JF_^2|hwi*7FY-|mmJT$}Y$M)(S)o?QsAHDNSo8e1jVQM&E8J=J>{EuvgRflG{ z;P4FVZH5gt!&oN6T4mV$glTeVHp62M&G2i7XE@wu_+=i9-vyZr&*D2d&1TrtFVo~_ zcSCCyIgC{=5Lnep(*?Zm(Wj2!Io|HpZM-exXmRyX6skSTn zo6mMjK2Su4vwzG#?Cse0d_u+_d0ECE`M0=8oh9z@scrSj>A0K;?LGXXF{!AuoC(bd$2mp)Dja4I z^+)cdyzkrcmdT--d$)2$TQ~Hjs}epf4_{l6M;5@r<=3(2LDK6;+B0*;Y(X!WN@Zux zo`Ral-WGI}3UUj-P69i@1bIUz@(Z$c2ALM{^_czYpgpbi+xhLykSBdwIaS$mevU2$ z=J_su+-Q*GDlNhS+lz9V5~P&H`N;(&>S@XnQqX7n4Z}G?Q~piHwkcn=Mci$Rkaz~w zND}i(;!zdYkz3#{hL{3R>s8?8w!nFxR-m*(w!qfMOq))!1xl_vyiJR25z9!_)26q$ zYK%6W{b@y_+TSQf_BIej4S`66Tf|sfgrv;F zi#W*^@ozwTT5*~!;`&c3;+xqb9(&Yu)cf+l=H4w~_3$EIe9nx;eZ7iUMhZIWW07@_ z1lWVeU1V%qagmB}3x7%ii^sLRfw>K2>)|oJkqYnSb1L^63X>sFp|S`xN8*$IwWlnn z?jRsp0-Z-GsecjD(+mA=6({yerkigrym~2BO7#2olZHSeBsDV01iq6ln+A}>*5Z7K zH;8|c=T&_xwANjT3N-l#ATs&~t#`i>obz6PQ9bud8DPonoe0lABM;3*VYjf3S9T)i zFHynE)wpN#Niu9N3}U=WbWe@1;87j35^mu)NkIQT%EZdTE+b*9^7olM9#9@6ZXmHL zZ}Lp8`?;ycX(~;2=Y@UsR_)qMB{pAqc!qwHVZVtiSjg}aFT+tGzLT?ThA$qU$#A9K z+&)k15yO!Go?{>t*A#%3=d@saO>hufb_WXYJR!M_nTk$n0M77&p1On=*#Iw<5{}dWUrGY}b!&i|Wq-3} zPu8=ALzREVXr+W}0HLZpp7*#z11w1b9MT%#qh|tqPy;N)gDU`|Ho%K{kH7Y;YQr{3 zfX8vR)}qQi&IEY52DlT(8i1W`fNOb=-zfl_v;HPv%-k2{hHTHseNF{rUBY;lC2U{c z!Du@cdNM*-^u{NWEye%H_-V2Jg`Y4^fHb?8>g=q5D^F)erepjYuHNmBWyMvIau3PP z>8)pd*M|=VV_BX~nVdLe52_3)-Qtq*6UVvTZU$u51wwxo-!tXpeY=EBQK~T+1!>$=EY6?7JiX0d0GT zh{khy_$d$0ysT%Ky4Pea;3|}Fq7JO&duy^D=PI9_`&R0+&Uvyl@w`0;;vvS9+qkpX z7)-uk?DZO<4^gN0$ zA3Ao+FRgk|!$!u3?1;Xb7Pj*OS|--}J@zc)uMzHvO-EPnXnfuni;m$PO~DEo2LV@= zmi2k2U_400rx8Xi|FFcaW#T7LBAB`R0ot-sJ$E;L-=?qBhtrr?PYw5@rx{~q29)&r zpb&ED!OY0^R`m)R2?}!J=~TTgul=iJ@!f>S9#++Q^Y-*=0ZLcv<+Pk@ z7^70Hmk6U;?=4PNYY5dcX9>Y&*>Q=;Xs^tjhu=4-<++cvi@$rEE&Kv-%Kt2KlqeC= zocJ3A0_8EF_|3P{iTz7#d_f|X{a#VU7x|hZ5ij!||Kt~vJgcVwSH%9u@?^Fz7BJzt zHqFn8-=e`6oC$ug27eTnY&4hG2LCzl@mU)DW}Y?pdU-P2eR>K^(Mo6RHL^peomHlgtfSEg?tH|#q2Kw+yMZ<_InqnC zL*Fvy=s*9lFW8l6C+@#i92nqV@l}>YFUgvAPR2+4Zj$rMTW zp$+5jbcG({Yl%*Ran6I~m6fKfXtjS{y`B|%q>k2^PCPZ$^!4pagD$R`nG=Cf0lOU!~RBcLN%YbsNAE-4utDHRbQbsCn8# zF4{L8xt76pr{)86efpjF_1wkaS9`va#IG@#XW*9z>HdGkuQrrQ z^~q6MjwW05L>gj%Ut8$Ebo^S$G%omcdR_{@mUpmVlmJ8H*Z6cW&UrDQSooE%r zIxGcv$DR}~;N$ZVuW7N&&jF@anOkW}NKPaWuDSQ~x2 zhQ)$;#Sc`lsn=-;ZGj+Ys#dT7M3+8q;KRmn0s8%YfH$ySU)trBA-%w>2h3nu}nsU zz%128P~8XiS3&b;WwO-~#o_`S{?&defc}Bj(gmGsLuQ_SXq0`|A)?#K#w9L-oVB|o z8Jg}F+$y0c(RW|*Ku7j;>uCt~e>u4rpLb?Sc5%<<(TUZ2PB+UYaLfIy;r=j2dA%3C zBHcPqH#<&eeknVTL3Y%Y8T|_Ajimz*CB$5@=JSA zn7tHcy>m9bsdi;2Ngv^#uw0sI8%5tLMc+oERnFOu)2nFY*y2R-WCL93O_{gR7!pof zdb-P#U=YB+6dx%mdA{hMa@wWnpL$3s$D}j{%tus{KFEh%{kGFxSXY&uq!j&7K`lMV z%h&XrxUNAVto9oz4o93`&})0+E0pRJ=j?9*C8{73Y1@MKZ$7TREDnY2o-V+vLkSLG zMjpoT#Mipcw`>O3HblQAqV_6IW#T~F@0=~#$!T?bir4R`UpBVTueIv;2@UZt z>lfmLB-{hII1tzCEUT5vDlVm1D@esl#ihj81l+zx^x_DS>U*3c59<0qK~-ufb;AP> zBuhNw-m{ce(lzE{J#V*v#3yAt5HO>v?Z=^yOD{NGU8ViMph5U@Da~HiS^D5J+MgyY z*iQlC(*8KsxuEO&(*D->AEFfX^g-U3><4;sFCD2=xz*KmV-n|`k3CDXB>syF8MZz! zNN17G^U?j~wEz?glLkJtNj}sd1FAKY2S+vDYk&E{W%9LQ((`Bm)UG6x=(&uy9nN-;xxF}%W;_BJVev%i@-ck}N*GNEj-}Io%qjm65 zJi9b;o5G2aI`Ks$PDVQC4N!5Mw4lcu;_OR{Tb;He)eqpBRr{ULPEOQeIKkM>Cqjx( zlOuO5pJJScHRa}zfhO6fr*#m-PZ%B~@L*0omteipx8gjWyx>}82jQ)EE2Yu;9-=Pl zT`O!gSC)Tui>gKRtt%31cFhftBS&f96N0+*y8E%~L&{RM2|FQ7F8;TIG=MC%B?7uTu& z%y$vMYRcGahceOHr*>x_n#8;f3Q<)vq;yLX>cuFbv#O=lxzS2Z{H%lQlbw4E7?Hv z+aXG~xMV{?Dnt~E$%R>sokrRG((5Oqe-$;x?n(R^YWak*HI4I`S9PX*7nlMP)<<{y zu?Vd)sER1zaZZ~u0B#azBF8rSGuL6g-6mq4Urif{M=)()*rarh>!V-LIBllfB=c#@ zc;1wQFqIrTZ}kpFSnq-x!PDp-Tkn?s@$u-AfH}j3fA;u?JCvi%su~LCF_)`O6Px}5 z=`gaajY7Q`LV>xKNyPL?h3~4#AbHfBC(&v z1Qt8iRl%Z7V&fVrN^n~dEE>5;tXq9mA2_RLklW|pQu`^4F|ZV`k#(J$65JH%1u8fj&ny8FQtQ8`D)_%?_<>Wu~hL_R57haOaTpyS3& zwBE(o_tIQgJLSp##J9L*{{al3eD%FC}2Ey&Dc5izJp(wF~E zemiYBw%GQ^uy8x;*9eD?REFBWAu(p6x-iU_Jhtl7C%VG=r}}GlclMn<_{5>3R#RNACo2#owcg3VeP99bQnyjYTAjXxbNM||97;?Qe5W@PI5ivW&nd7m zn*UvZyCNr)1BhuS1eLzwcM7jlF7K&qxdl&2=n>MD!V;C8kcZ=3@*>1@n|8{g8mFVL zaqM;j-uNTaQvDq?_ASheUMhO$U18=~CxEHEl}`9fl+p9J1!B`UCg#}IP|+&`?sYr+ZXe+@-NDkf;cDKYBC+Oi4%U3B(V)$jsqJO{Acqk6mhXPk}6 zQ^4ei9ML_yOkiWtPJ!K8xonEL9#)_dbJ z@N8=9tbBkT7LUJM6o%;O)O2v*7A9IngkgzCw|*~xutw=L1k|ygtZ%{Fjs8Nc0Ob@q z_6X6_ISTr6^vJ)ZW3JYFjAv0QccE0y7B%3wAY5y1hJ$@%~lWMpd zgn|dK=|J)U3sjJj8zqL%pqudiPRpm$E2&3Gt?&ohPr({RIZJ986n2Q_4{C)!u+kLh zTzyg@@CT}u;12=@_D`Rj7FE+9-!&ipK#`mze{jB?DgQztXmY~a?qCs~v^0OP7XDzP z$EfiX!XF&>AKN4+v9#h3#LZ(pJXOx=6o0@G1xfxO6;Eqx*N>81aSFV{6=;6oG*7%I z`GeEeNNwwcBK6TvE$B(h9G0RD%y6`1FZ#S#+%$VZ&IJJ*_+8ev1hddlqf- z!r}`iu;U>dn^fe&4dOke40HS~Q-0<%)^VOJE+z+NQqJ>haiON=Pco8%JN2O3DKk+$ zzXk~vuan%w>m#k6^o^ui;+ASv8N2OW`XNSTQzk z;bgQutKw{Gcu%^G;fw+%C^7wuj1X=uou83xvWi8tz(r?UC;X2?u5x&5%Sb#3Nh~*E z|M6QLeVYX32n4zxP_6Bp<(K(NEtY0!86~zM;!E#(!u>|h4u*iBL1DCpRGj1)|KocW z3%h`Tg4_-=9K@^0Bv41t1iT@wAWz~bd*&)DDCORuP-=9I$9!FJ_D3mz51#(7=L%Mq z@*#z>JDjtBqe99$bpoP2%GfYruyObYCmJAJ#3vA|@Ra)nM&4SQIvDe0%QROg=VLX2 z3yeS!goR`YS3`g-;}#I0+_5ksSAr!>jGOetXq!ZRd(M=hvbK{Ix;Dk3adT?Kn@m22 zH+YeO?UZiMm)S;5Jw%nPaizzVFb8pB*7^&Kr7%kY-ocJtG zBQBzul$WAX@lqtNS@Imm#n3JDeP`7a8QUrRI$Ki0IL(+|FZGJ|W(5G#P|d-7i@ykQ zvk6f@*|T{*DD5gy{<^kc!(O6Yb(NfEB(RE<0KtAz$n2v73Uol9WI!J^=~dR8jQ&mB zq2T>Ct$Y~Youcvi94ifJ%(g0@G$a*=rE1;~-5n^};;cg2h!B3)+3m!BXv<5e6;|$4 zs)1I?R}OHP!4l%xYsygMt*zqawM5P+Rq62-qyuCM5&$LIdsoT(G6(4Z=Ac^64Bixd zT@C`3T|140SkPEV7>JFq8KV=J9Y0UG(-|YFhu8Q>@%7@8qbYg(GA=nBoXi>02xmtSl10vWKUQmgNPX-U*8D1qKQ=YF=EoC;aswvqcx;n!h0592 zIYJL}klUASkf(exDWXqHH}NBs{#C=5X*iI1Tr-M_AN)7-QGb;(hyyR{6D7F%I?Fc* z7S@VoZghbqXjHQGRGz6Q+q^BBF;F@DN~$iH3pH! z3`82!7vKi$bW)_TS&KA|TOy4GmPjKy2yq4gIf#!VOtwSRg`X3thVy)!_D~BEYN$35 znZ~e|G7T-vnqcKmJWKX8QNny7e&r(1!sjxNWA%D}!dj5FmHa@*l#8TG{4?ZF%KvtHkNG@dB;9A@!4d(zLIyb=gayt>LW|#NY%>4%BU}T zZG2{sk+HI}Y3w8C#aD&p8Bu2^7>UPt!Mr)10a#QWYT!TOUjwl598@!QC|NURgURnH zd%>H4Z`lh*CZT7j^wpFB+bDrjS1AGVH*+c48*J@zs7U_{$rN8G@qBet9*S<2Dv~YT z8GKKQhD~Vy1L&8;@3sQ)58VGF0(3DF-v`!W(E+uKCDUPQzEBEtfl*-h^N-+-@)>;19OYz{>CFrOzgxj`Y(e=t*7x@Qfh z!VjDWR_|!cvXP_%h4qX{$6rQA?8)T7h~yZHrEsGY#gt6tQi-diCVD^L%o?4RzU}D5 zg?!Xbc^3SW_83kh{Fq$H0zb60nfhbkCAN_nk;&*4TsE8bD7ufXpvYt7EGTVS*>g8~ z+MDBph_OQA=ki?H)Ev1&eJ+LXIN7BUGSgCiI8mjHeulnfd>t?JoOECd^LYkyi~3EU zpK1?h<>HyNM@A%fbmBcGQ>&t41%KCk8DH_bm7-sCi|B(BCVxr!u%8Ka4Rz|GTJ0fRqf6bv(?2}WV1%Q`aZ3j{J<)7 z9V`kL`RP*Y1J1`7#2NNSoR!tQEp-3|kBZZb<3)d;BV%jY{XKVA)}6wW+kn(7-*~Ma2-g#%&flA}KtkQg*M;($m(173-)2q&L4LC+ zesltuV6-)MSR*In_h@Z$W_R=3{NClai=W8HZ2DzvS#u6K+wYx6{oc~UXhgCBhk6!E z3woR{HdPERcYAIwVtUc`sLE9zjwaofD^F4dhUR@Nm2n)f>3RaSggT3f5iopQAp1 zpTCPrL4QIK@Rp`-gVrfJ1ZrxAFaTgdDvT5WNmt1eTfW~4Z-t}G?nkupI!d|zyC(diDpWX2Lpt41R zWLj4QC`m8rn=B8qVTbe1tiM%RtUlg& zTxw~x=gOq1qDp@agZnB^(W@c}nRYpc z^Qx*evxv*WA4DHW3*5=~iXL=C@T8&LJseIVlJlMGjH@XWVm1n84s&@7ylYtcMak~E zg%a2WD6k9Asc6Y$`DA;#OO21?LN`pjPPahSG<{jWO}%p4rUAUg1{kyedV}E&D1s@N zP579Y*|R28#3t~xD+6Y*38$mMCXp*eItF6>npo?*WqdVnh)@vxn2RIPwb6sg8d5oS zTl3D*1iM9hr|{>2xoP+_2>clg{-_4+FZeUS!k_45ySwkUaR)R>!yVn#uK!~sfeCDl zBx&sj|7pBy6&fwO6-d_YUb&Vs-%#|VD)O~b+s|u+yVCFiVz59r4xcY2thg#Y(4+dCNHPKE2mAy6g{cPz%9}yWl1vdXc`%q zYPHK`zIFx`C`)>3v8e#-IH1Zkcm}L27Vz>KfnpOS?dX{R2+l*`scPo1wJ!?>qJ{K>Z)IwKHCh#n1 zJX3T@wyUx4*=uoyRf`{;Q43?Uow-29l++;&KU4Na@WdWC3$uMEsgIt^yn$!qh$ti7vQptsm&wkV`!EW;J!BXN2xOY_QUJ!yrBgi8l|j8hyIlr_}sTo|g}8@V88?73@x zQK=)+iycZROHK4J8|gx&ef7%=fERBF0~A*EdO4w%V~B&sPhrC$D=y9{n$yE5WtPe- z#_!rxS91DeB*B4~dq(R?aPc=x%#Fw@TJWE_rzo%8-?!@?ZJsg0B7`@oN!d`DGY`RYNByg$*P4_fNY^BvV}m)=R_a;Z3t=d602Eb#ii>b>U3tuwrc<5h(=fs-7coMWiAw%Z3jt53k_ zbp!5e`{1)0XF%`)eLBEwcyH(c(J$~99gprx7Vgx|!b(rQI~nl!2uKj8YYX6j;n)zU z^KQtd0CGBo0NK!iEi3uH%#K;{b$7@v*y|GDX|9%9fo+X#JElz8*TljuO?{p;l?mQ%L`SSI+?R7n=&Jz<-$b9tA47`AyPu`ELMEu@g_zOoNKWv zP|)~PHn}n9!o=@S0W-fd2#t*Lb1di@pHl>@u@eU}<2;@|T`e%ds^Dsd0F0+XwiX-Y zY4RIctz#cOiypC9#j9A1=8UIQe;K1oMYq8Z*TrMspt)(R5pm5UL~+WLn!nWN^^+`W z)sqxJua{+hKH*6c=*>&`rX~O4%math`9}Wte8vh- z_NGW5AE10BmV6$-@m%9`4yyIWhP*)H&3r_HdGa_1ZN`Gs)2AV_1U5-vj$WzOuV`m1 zRxGIO+PzFT9!)RO@-Ilu``Mx-EK$ffbbJ^%bJ|6j?vSxF z6uX&YS8vOVe91Rc_)78ed{vtxfAqy}eSu2u@~8rykaBPKItOj>#Y!c7hpvwbuOWP; zuTQPBnnSzg)Q3zoP=HD?qOTYYESXdAr9RF#zSpycb2iISMwt0XrrRHTBr|dpeN@>W zdE+9!KF}K*D6O+jeZ0wPolV}DM?%-m{Dd}>(6zML+CJ-|=L1qU%$nC!t&P5IHC?hl zQ}Q6=NWeH<=aV@u!;%fv`DFS7&GjNM7Hx=sHkx;a%FI3)GX{Z)7fx4X#~&N{fj<`7 z6O8%xitT7k{BaU8{q#n1^#PJAmyoS+XpjHiwf#_|AapP6MPn{|23egM|A+m~t~Gw6 zjUK8=>SZm)AV~bF{sv!sqgx$~Z3xv(@)^mrL4PaT)s^Wzg~g zo4yYBaJnMfnqgVxw2Aj5x0+$D0+$)U)Y#*EWsN_~*$G6SFVRLDl>*yjrnu9X)9<3t zf$&Bj8crM>!oJFBUP;+q%1~ zdk5?8w(bSiy@z%0W8I5oVU3T~=-&e|$69~P!CdtnKhBQjxQ{DUyqYX~9YGha75#OH z){L;3Mc+mbp#(PLa%lUEOMOOjfL8Ds-}sFEp31%FQvK|Tj#%0yMBzTozhshE!3%m5 z@h#vFG5Z}6Q>IVK#1G3fYR$`5>%}E6b=FGu=S#<})oLTG$*4H#He1dJ6qcBuh(8sf6E?tMkM7t__Av52EBcf8_iX0Jt z@~&w|*wHF!Npg)n;^y@TuV^-wpjkLZ{N|&IIA$M>gkH$u=+ZzlDg*`l(aVe! zAgVc{luz{drgUA=t}Ve_XUu+VNJ;luplD}w9|QD@C}*+Dfhz>=VFU9szL(c|7w6rD zFfpx`R)rH-EjTYTejrxNE{Tuzi#llWS+VCad*<{9P-Ti}nCVugOUOE-$rlTmHh=^=(^M1+5u^7Ah z2!#U1u>czQfny)*&=&YExh8B=eupF5vWJ*C+i9e-u7@z%*p95ET-vOx7s`C)pWhVA zxd_`OJpb38gFRBSxMg33f}Pj!|`jKIfDW?X}siJ5Z$kro60ciEbHg zN$naZ*Pl|*h_3InRDF9T>-&|IqMy|Fz>rvut7U!V=m=+3z^X4`?E0z(`YLhNne~N6 z2c(z(3PBEt^;%9H1wLl?&-8lE&Fmm?Y*=%0J?!LHXy_sqRV%QyfmjsUxxqQ>YeCY= z=?m4VB%2c~H@ zwO6NEPHQi3dA%emZ<>nA8>^!7CbVZOZ{z}Mj0b~IedJ*(lgUD>V%8Lvc2^)JzDX>iVM(ub{P;bOZ zP0k4v9gMD^_g$S2!y`TixB4g7h|?|xI)cZiWg zXh9?AZ?f=nvzzOzyo4)Zis1CD379#nRBlj88DUZ&AuL5Jqk9tvu;W(jJO}`jot&7` z>Mx{T$s0;W2+#z(PeTCaY#+p#!N1mf~Z6a4nNWpeE zSI+y`*Ct8d^LGQGEFUA!@^$Jk(T&kKLy@Bbr`rP}*`Ml*lHOImTV@5x#5F4eD zSF&5CiL#QNE<)bbDLd#iXc>`)P^~ezGx}=c`+R{0NL;{O8t77*5+Q<7>p!*&vB+v! zYr)u{FjSL`Ee9$Gjk2Unm1mIic8Bsj?${KH-P+9gxN!fZW+}V|?YD0;L&h%Wymf$) zqBu4UH9KzS4BP2ze6jnR(NSv?8A!88dxT=0uVH3Ve<}E2UCsyKURll#N)GUqo}!PV zaev_!7?d^@KTJGC$%BS^bIzJ*HCT)ML0ZaLhL)wEurv>F2+%DgYK^YoZkmP^(m*S8 zfLjH)gRu&PHsu^Vb;JvTFG`%p7m`~RdcQASo&|>zT5LqON?VShE$RM%u`yt5^_mm6 z24W-eXEJf2b$rZHL0iraV>TSQsPTsiALM)!kr&l4h8!PLTfgY0wI?N^oH&cHiKx=7 z$Vdqx39~_s8QscqxOwDac_CehOYMq`yZp`>HI;j8#ato#)VnmRn7lGG3Si0 zy&}pD#`LB--$~WLvHr)Rls(qoEzKPZ!KnLAz5^jZ+8hrL6Lo@>HjV6Ihrp*FjYrRB_9%59^wd*x}f-d1?;BMQwSOd;zI!&Fa~G8qs9*b{dIsV z8PHV+bnqGnyvA2??-5xV4|e;^&Yk&~PnY-yABarh^Y}|c0arOAJ0sGbn=2#oJ#HN` zBAiS&!<`X5*Q3u?BV&%v_}OlqaS9pDHteh_&Nhug+VoE7BiXh^R12|SR4&j)CvGC6 zy&uVXF4q6V>r#CYdze!>`noxi8(&5mf88LdBB=2&htWysA9bh_xDYCWC_AO% zE0WFcOKHrZE;V2(r!U6brl89ZY3W&imo}`NzQ9qD%ZwII!k0nDYB@>IL^pE<>Tmk= zG*<~npfMH5323*h;>USec`6=z6qX6MY~_dLTb@dnM>^`qY>oBq8#2T=+Hb`k>;ce? zWmrQfSe&B6nFJ+4c?2<+KTApG`-?^{j{K+v{U;xUMRHu=fI2fv)BYMyn`E_$$3({Av5<;bh z%RmdpM(z*BMhiJRF&Tu5weKo;7YiMPCVm}+Hon8E7P{!U*)t-3;}F5gRW3~*-DjbX zA!DPO-~`~|S1kge>7#j$G00(N8iTS!;esU9yH-FNgZ!b)FNehXO;lydJfNcEm*_Z` zMFMZt1^oVYP04;AkitCdhv=z;Fw%+MRXXXx_jS_gk`%WH?4cp48sy@G9RlI+vFX7~ zJHpL9AeN7@esWF(8}}XsrHQ=7t!ZaE{#*U=@+3YPYyUlI zJX}bQPMk*>YP- zCFwzuzg7D)kM8$F<$^}F_$2llv3hQ(?l51nHix+`REO~*71LAN0J}_H^Bz`D!#g+& z^l81uKG>KVPqTQyST>oQh*W~c>x%&=1GX*0N&$p3+K9D9YylArH>Hy1to|K^bR_K6qf-~OFQ>MAq*@>ZOXYB{)@PNIrIGQM7%{=Nu-dBph3H>pz zG4byJ?cJy*lQ9PsvA9B5i|YA&-HWg3P;5eH4*9wfDM!vJ$`9toL?2n^1~qf&)0|}T zh-J`7Ivkk>A`E$BF9ao3zfmpTxPgNhq`JY%pC$>3ajXK2j0i(wdw2|?f_ZE=J9S3& zL0&0j)=&yb!8>&aS9ouKJMW5^*7?Mr3SoKGO{8T4stFn|`&EyPo-cb#iARV};R`JU zAMMJDC`d@cvEf=E+?WDqeUiXKvO4Af_xbYKH*eIR-4|5F&=|p|eAQn@&hwkq3NM^_ zJHgOUkl-rlEpJCGYZ{d%t>@ zQ-CkBQc9{Yq4YCMWfJvZW(ED^Jl@(J%v2@s(%lHNMxpLqAfRijv9K!~y}(fAn!&7E zAYb5YlR+IAaDKH>o;4Ar4P!A<5qofRjNAasDQM zEt5cvk;Q=&~n@{(lE8zqhB9rh(hhdu- zK(KOh<+E}r+r*G8&0h~j=5O@Je!@Ysn}S6-sLaR+SU>=+dH#BYR5pG| zmz8W){a3zK@Mmm;blrpoc}7CT6$uro$_~jzEZLP^#OLxL_;o^=O2!tczOO}V>qWb?z;&Nc$${1kMm3&Re zvS34*98^}yab?n}LB!>F{RkFqj^;~qHa;TLS*pDyEd5=C205}?SCR}|F|-7Xp?$u{ zhw}2}j4GI7S?Q~!;z;3)v?VM+NnC=FG)v78tm+F=Hr6yF3eu2iv_d9DobstI$mCBU z(+HHW9`+{%kTgHt`n1BRfzm)sCd5WUyV1wQ8WOLVc-pKIqaQaOXcMJSb)Ea zxUw{7tMp&ab{ybvBp&icdJjqCh#o;R3cvC`4HJ{DI15?$Pd*5&74+timc3cgL-nYh z0o80E=e7u`>eOFla&@!ry{&tHxhKR83g1SJ;bDKk_(p$TF;INRw*YEY?N((OQ7lPV z=95I|mb}4+NF;$shW@Vej$2UadmMqia$p55b9Ea@mom%R6LI%qdbnCv+==$Nf>Chv zLVwnU3cosH84}B{g{@n`238Hnj;(^} z3Kg!T9%?wI=#j$1bo%2gOW`LgQwu)@ci|n&@O@^}JRwcBB4W=M;W0aA(bqJxL>D)Y ztZ9vbL35D8BQ2IzGgZYPy0QIk8cZ%~mVGSf!UCdH++ZmWL>77p+9(fMyfe)b4}@}UsQXFo&Z_xTN6}CGUu@*`x_WSK130%1oLdXd z)pLIO`jBxdRQR6qkd$1{3BF-(FXr|<-dpa1KI0Z7W@aYwFL>qivM8}}u)77sx_7be-K=|WxoaTKS=R%l zHR@e%hozw&KK0K)z0+qwy)Rm$p6nM3>aA*tdOsRqp5+4k1Gn|1GP-TSM%c!+2(9RxN`U*N2q2zh*Z)Vj~f|*!mZR(c|9J*2d6z&8I=rCB6-*dth^jO zFxN$YL!}vWH~D4a*9#T%^%~Y|ek}-TfnQ{IIYjg!>_I;AnG#+K5Pa0`K;TirdVVAn zYt#v=13;0C!g_8$l!Pq$w>f839ng}DlPc?I zzUIoE*-uiAsVDci1zf1o?JGFEoxdbKq)om|#v{~IG6^zu>r3Y98lpN~3`pm^f3&f& zM^=0z{7R=r=FuNu-zJ!aDwr%(FXqcRhp1Z4L3uh%gXZOY%{lEXOWqF_edMfq4oJ!Q zMAC>obB-)gbG}unaV+Z!s-w;=mxCO5F5>EwthVde2XBt9O_Ts682iucp!xcdB*v$6#!Xgl5ZQ--*vUf9`uWSoE|sHi@ny zrUQ@8pR2wJ_I+8h@TPJWJuR?8`b+Xi<_)B=a>xx(0+|V@2f5@iRP-UqHWDE@_{OzF z$RiQK*zMWa^`k1YMa=urc2pJcR*jZU@A7%Cq-w7`bwDjwB!vM+k>_rw9XPN?;Mvbe$n!IPl~4; zXh30nzD!A?P$(IM%ILqVrAXw=x=RV)741Q*;?8Fk<^&oK% z5jf>sEl{p@N%ovx3P>+ROs{89Jqp}MZbj2MmefnLrS+$X96K@ol=vCa5|c&Llr$lv z8?=O?l;oasjSS<0rx!5%xTBO(dk7(60bN%@_lpDMQHLs*iHJ2L(uu$${8+sfz(v)r z5@Je>tTwg7O2{ z8CvKp^v(Ae-{>u)&Z?M#3^i#+DQu7>aJo@_F>LJOfd8y*~(xC7x!olpG! z!ob+US0;uKY?sW6whNd{=A7M`RJ`Wi4}r4SA0=p&c~tzj*RBvZbOkj~pB02De{`de z%DpblI4I`0)~LqBO0jJor{1v=n&gY!ha$4Kb2ghelZg++e6n%%C1sS2s{#oUw<&v0 z25|R=zQdwGEF^nQaWeDB?i32{;D^06<*UcD3&3Ow)+)O*EhUIKK_jkIc9npIexa;| z)jde3c!4?HR0X>%gaWdfMEaE&efb5Y;2tgFai*{pz9l`GGod3@5=Yn-!> zo=2Oi=D;Qt!U`Q7d2=#m>;wg8Z|=3zHh$W3(HE$<7wW`LMU6T5(eAi*n0L773Prq zW%+<})^!X#w&7M&*r^0KoR#xwKz2;c=?#g!(w1rMh0lf&QiAxQZQ!wJn480C9Jx>J zpo&1G`mh8cgp-@!N-=c>Iai73 z?<7GrE4|AU0p`~P%wk5#)DE`%r#`#l zGO0M7Aib*^E+K}B3PDosjl9v1N$-`fPbL)#^zIfprgTf&PX!#zQG;{VF}jTY{KoFj z3MbpDa|k3wVi$MSl&r~%g%l|Hifn_a{ZkRu(SmCKl)c|larFf*%Kny!>!j86{%KI} zpO&co)AD-N?rQ(^%v`FiTkN0uXzLc6r#Wi#v_x&5;%%G~sLj*XusX`-=~&r3#onPP zS|6!sJ)UI$bhX|;RnorqWOmAt{nH$K|J2`CNg5;9A@7&5hrAKNpCpq#H7pKj5tZPE1s5FQ+FR#Mee-}+tlu4uiZ0`omRy7b8!Y5jRW`H>~YPWK%>{gZ{yf0_R zzH~2lgcwPrRq69cFT0TeJRvR>B{=qt>YY_j$l&HLRX)*gr~Q5?h|NBdYMoN11*PJv zuzZsr1$Q}Vps(71iVRK9FWC-4%W5PmVu5l-BEf*&vks(D8O`AS)CpUV{w)WH^2FvQr$vgpYmA{9NE zOI9VkSdB*P=hQ#Jse3_E|PSRkqKHuh^-^SUN{Ej<`HDA+#jAkVhOLD{$TBK9R> z9>8_NA&FxpRmwOlLj_0nob$#WCN6KnVS059y?QYE5@VlU_0>nuOFYeIRn3{Y5!2A0 zU1;}wI)+_j5Iz5EUOUnkWoUqwBJIlSh<_d>vhnwQ{ih&jWTf7&lx$7OY$B=Yi1;Rz z4d2kXwWL2a;F6O(y2?eElT1_ottH1f6@9gG`rAlTA5+Cs{Fj=pSHb-n=Du zR%bd4R>&v}}#LM2o5H6KeOVq~ziDe-N;j zfK^Ihw=Mej#>?+QzMzUhhAx3ZaN!k-l8(<(0`e-&p`JCBYUQ8d`~_h@5ftx|PbP{3 zeHl})l8WHZ)jo^ai)~-NjQ0F2+9ob zuW~6FNBMf@-lRT_%m@9F$~4drRRoy={yDIGnKtsuF^pnD5af4Ot(6{3(lZu9g&R<+ z5gmz4&OQ0OO{8mj|I%3;wxbUuS}(P$2jB%c>qUhbSGIf9Nhv=|!TYZCgsXN_CmW>z zv2~$hq$2gmLDFMfDn?qlbqr$~Uz+SOJxP-2!o$wduL~dCbFCgeSAH#wmlh#=G2u^K zLVyhSBw2GJH!nh z1w1Ir<7aqK`oQt~A<$@zSIdbQm{oesKTD0&+IXH2pyt(<;&8e=2}cT{q63lfep3}3 zbKE8oCdB2$%nOvhz}?Ijrvqlc&Jx~GIe_!i#3=+P97UX=*j>a9&W?Zj1B@+q`At)5 zkAH_#d@y5(;W!?zCnnhDMF|&}Z&=0B4Q=?=`(n||Q26s?i+M>;1JeczrD;~|#s337 z`96;???m^6)_aQH!$rdk_|Mk_rl)X&;y4@ey(;=A;B}A_H#q1ne?wzi^vzhjiIMZZ z%Ih;`9QHIjo@m@}n$oL=xk&Oa8%Ig;pXhwzk37Wxa<29E9B(WS;y2}x$XG268zl(O zobp*|i%DMdHQmBTr-tZ5&Vg*q23JBwUq||5#kNnReqzG6knJ{_s*MJcii{G2>3s2Moa{LBe2osg#SZ zwa~UX{#8dopuHNUmMEA`?*`zG^EgBAQBbe(g=d+B`<&jdNa=NY6P4eN17ZUZz0OcV z!3r5CaqG+4ygB}BKI}+h_`i_!_);KKj6gUIn7~eRIT(jYEoOx899{XUsp3U(i z0tU|>=2F4i_$EGrcMnv-)4lbyvi};6bDR-3&@(qWzdr8`t4dNtFaPt!!%GW zts!@5G`UM>2aIY#NUM>W;|_9w3ItD05B~BJ)msF&rZ`)OK~P;?^Olesr+1xD9Pc_( z&H;ef%X`=1GleT=*dhc>Sp`8KTFL{Vr*aTz{~7)1Z}UwxI?Pv8rOf40Oc^(vRdIA` zxiw%eVzNq~ul^h3=RT>D2HSf4j3CPXe(bKyK=`B{C;KjzR(MR81Opp6$6MHoIgd+U z8=v}PLz;~S5o1*zZ-evmwT-u6n~zRza=zuD8?;Q5Jmh^EfW7q#twEE?Dc_J z?5OjJat$SWVh%lKIG)oEb}pms$mFaNOb;4|y;u?Ys*YL%-S?i6jlU|`lp4R`&xZ7W zsjKDh53@tvW{NMJp6hsT?8Z#5;eE@&WwC>| zbL0)jcHYI=ytR?H9C^z@ya0hb7OhjOJ~7AiafS+AC9@eFC&+eeOXj@92ieKs6jv z^$CU@Zw)pbGd)H19%r!L89WvYQ*H_J#)f5D!9*Pr-3<>uao+QXS%8I}HFM?$G*9Xe z<3_C41`Zb?d;zlzCOmIg17wy$mmgWx;UCBFA7O=Sg19 zk(X@irH#Dg$cqv_sqK!Y=qg!9xUJdIo-gqOy~yab1m`gR=5^6SjpthNCVmSmSCytQ zOL~3Mg5Jvd(>M_ubPg`16lIMM&J*gh2EMRwFL|n-559-OFG-K#!R8!`{_cx+QVHuw z@hnlv;I=BbdI4cegq>q-G^n#^W%d=uuIe?rga1n&Xwf>4gM=Ak@+@LCPLPqI2Ikhw z$yM@Q^L3%#v4>M`FtjxTXQI#dajqgj1{)=YL)>0KHf|=M9-kKmo-jYcAy1<#4Ie}1 z*v=sF-pHCzxNGO3;jaJ18K=_|o}v#Q+3PbSogE&g-f+FAxyENqcmjG6nd4|&$2b?> zGo6)A^B*SbdG^H3PUl`DRZ1?mZy&gf1$P!DvxoHMM3?9YX$_WTlo zSVQ$@=e$Z@11u@c-1?rRFdr3^!#%Cw6`SMi#+t(&Y6LZAL%;C65}E2THkphau-;R& zX?mkS{B0<_!eeaq6|U2V+;CzIM^m+lxWI!)2Q@o>BU2^=gwsDbdGDINxXReNsOZTMsU)5bxYUC&XHRLx=d<(yLWs2%ns z`FBs7;4d6T@TqKh$mStO9&&ha$%BiBd~MbAesl|hRFa->Mx3a zCL#vY=U~%Y@31g_7&Mms&&UP-z9VZQBUt|X#Td%)E%2D$rzLd}R&Bn;(|7yB(FUB> z$$l5}*HUTIVd4C$Q0AtAOea3G<2yGR9iQ-Vbo7lzPL;TGD>@zB*7zd(p9@8*9uHFj zK-I(j+a*}s_&tFqSfajPf=ot#zCoq*&UX~mP2b}WALPra{^a{hhJ}OG8L0x86ks_8 znAfTRTN{7RtWpp4$F0(rcvFl2hGK{d)L*E3bNq32-xsgq?nQ;5rSlHeKKA(1Mj9R+~Q>1yE;w+thkzF+$%ax0<5_DWZY9aP6DjBgUPrDb({oPaUzn@b-zu=Nr3#Z zo2~>FLWvWbr=4!r@)t;*?5{!U;sOO!V}h8WpGxBNX}`V%um_Pa} zsA|>h4{!9FIrw#lg9kr*iUqx{&XJ^--Bf?2=pl~Maom8TZ5a&lamcl$;8#*`#nYR) zJK5S}o>wIgZ(+r<$&!?8QV7psRcXTqgr5nVGv$5ol=FT;MAC5;mW_BMF-Lds#~yYd z5M`#rIYd44Rzv&*YA)!wy5RO3m{wu)YCYyiJ-`~zllg{Y;EEa|gT*xhhnJa=n4{?M z^e-57*7pP9UcU&0`@O+D^I9OYX^@fgsK@O0%pjv*WwYZo+4&4ds*&0pp0=&=wKG`8 zGyMg@kD+z?e!%$JV?YP8RuxF2EUu?JJuF(;M+t`GSbuyem5=wO{3LooCla!T$9Jmt zRs2$7FoiXyFTy*jbKW!Xc959|RKh0}K{Q`gw9j0!K%t6ev+y7k#JxTtLGwxZD3dTP zRijuJ*_*|Q_ClaGB>929p&Dn^t-{OEs9v+{TvDwSVPRFC@P202Iear{E)bZ0bB@52 z6t=%*_K2~PEnTN_d@TJIeh)d?T==wkL&6R*Z^kmw2eU7%#X!?L$Kfq%no*BuzInsK z(|#i>;kO1Gj=8Lk-trkcJjWV5nKfP*G37SU6*4}CrS{uHqe60HMBG0 z1r)`NE=lAAOYuV{?FW}3@bW)EUxUr{?zPTJ7mY=;u+6=WsJxsHq`J`HXXUWuAz|;c zR2$Z$+uu=)fCg{~>@1d?A>*@<(G&_Fr}n?4sEb3!2ZPOyvj!U-e?QphJPZHYzQTHJ zLzU#AyX;v?D!W4Y8~9c^R-T-UEnm&wa8sS5Rxm3R8-q{9?SV`@R!-;qnFgy0Js-aeZCVM?ev1QlWz6z{wxNT9Q(K<`lrMnFaz)!I}#t!E-V4(gElPx z1c_Mw3C4O&k3)&cDBz;T^KJU<@5`Z$Rc}!RuOSKpjuT+e?G6+v@*F3;rgsU8ggQ0# zt(dVT7>1F?{(nVgq%+9&b1L#n^5m?vY9mS(%Hv>O&PsgbB5PAl+d*bh8WBlaIufujR-#bdhS zPpgU>r|}AFe_z!O?UFnP9;;`F!Wta;Y3IB@kX@>OL<9`X$&0|BjWafJgcJy&hDLi4 z9v<7o$|!n$<6;}$(6GZ88qS|9HOYCO5|_~$C?kbp9uPuOM;>QNOU}nM*`uVNm6rZp zwRRdR)mH7HpyXp;B`Qtj;#*N2?YTN3dU%Sa_em2=Go9fwiMozZ z*OBUai@KJn>uu^fT3yGe>mBMER@ZUrdbhfcSJw)4jjHQ|>iRQveOO(mtLr1``lz~A zs%y2nKBlfus_Rqg`n0+}qpr`X>#x=Id3Ak3U4N&pFRJTH>iS1@{gb->SzTXN*H_f_ zRdsz$U0+w%H`R5Cx-M1MW$LrQput*#%c>&NQ)iMswnT|ZOTed?M}*G6^yQe6+I>mhYL!u5>5g9CKXo&g=Yc}q@Q zdfa+HxZFxQ)4qcu^7n|ka<{^hw>H)j^PBn;Zbtr?kknsxtNZD#Qxli}q+hWWY~5V) zF29W7zMCn}f2ik-jD`V+?)k@@*PHg<@ZNgT=;9y@bwGVg9EZz`Amj`it;f%1` z75pCNCx0jZbZB$v&f&>?y4^k=VBhWdhx7k><0lVQ4Y+oq`P|OeZer7yKg#{|SATu& z(&pb-`40{__1M?Dw?DdNfU18^MX^dpIrP22eqU~dFYmJKk=tj~zd0cM)vW_>$c`2N z{_=09{UUFlhOZNGJviXE2mZL`rrc@8pJ(m3@sEGqJK)aWz2ECVpHBv4^~$@p-?HWb zE&A#4Uln(_d_>lZKW|f9{zUCJ1=GrOdvey{S2^ZNnYbT{*x&hO9sw)1Pp zN+TqzjkG_(zx1CYD+rdDyvFvjKg*LeI|^8V3>@|Rm<-(UDT!2bgS?0d($`}vD>R@ zbBpc!{G0n-d-F?|729{;H9vUkx4+rE+`d;iZ)n<6*`>z5FUnu|&6TU$7Tb682UA|W zu;J2T`@YF{(dfvgO#|%vRqJ<7HXhxy+`ga48uhC{%?AVQ`$+Zo=71LWZF}`Q_X{3> z^KTn}w{^LF@0qi*N6yNc0rq{>@^&L{z4!j*_WiLxz5Au}>XHHW{lHi9_xl0%y|lx+ z&70c&*K+&*>A_tO&yBn^z`kob^4xO!e*NP;KArb7-woXcb!`0f+DiuL@FfG*$7ct^1*MySHxV*6rH59b30s z>vn40E-Sw&pvJ2QX#D+yg{S*1dZ0&z&>Q{Kx!7(e`~La!1Fji1{Dc+XG(g6#%pEeX z$ehypC-X`AFNgQ^pOE47-=JY5GDZZ3W|Vk_W(*oulHnQ1`;9|0M*QUFl8oT68#8>R z!!taR!XrsNl8&bm$>b-;2)|^NrxL%U@7W_`M2T;BM)wR~MnRW~Lid$!x#{O_Y0p=r zJzu4tyL7+y?u>3Kd3aKVx>t<9Pu(MT=zDllM7`f}rxky<4zIX>ijJ5t>28%^+|onyKmf-J0hg=4fhQ7m2?Y@D0L4WKVh7^o7+3dJ#Hyvyg((u})r?D)IV66@4s#{8S<|1H?bqNKi?DvLK51apVoT;d)xX6(4|go?@I z!Uba|OaLz?O^Fmr(Z)@v7}ugasXP*E)qoTaOd3Dd?M}tIX~w(9MTU=`Jnm*%x1wO| zr0AVA>J?qx|K3w!-|vQ6a>sr5{?9{|vik0ij-T*9Ue^D4s8ZI!lcr3JPPpUWZQ6g; zp#LY}tgcj}cl>>k|4!dpV^MB4MnG%svD#i0)`Bi1NI#~BD#~P9?3N7d>z+<74cwh7>lxsBcJD!c zA*@rWM_Qh=nw%w5@9TP8S9I+)S6_QwQLjEl*IwJR=;~`AO^QOd0+d$w6d*`U!Bls@ z{_Y;#dlb5@s_`tt%Wc0?wiZRINH*6QfLg%mrZNg3{h1qD#3m!tze>e3lFel!j(dC( zb;7rePCnn8_B=W5`JUTG7q*km%HYdxcg2I_BjI}r#;g9*LE$@~TV2LpZ&$EO1@+ZY zQUEd~>u$BhbSajiVksi_9W?CUEMl@6ceO0;T{4xq`!gS@GJW@l&meRE=O6wjRck?< z{>Q%{b@;#gg|m^uGpb>a&wqkNiV;b6%Xc)GRHrqeJmX^)EjatP0u#pFea8g1un+D@ zlZEvdKj}XAq;NPoMOc-)CQWh6sJNa%1;g?$Qjfn+Gd4nuri`no5Ksa^X7cglDl8zA znJh9OJojb@qmw}bnKv@V$y_)7&MD)g6Ekir36unVqchrdsbC!3He$GMP{22W_kkmW zH_2ehXm^Vz7*tPPx?OWM+*G%oy}2^V#$~i?ciW(0zQKb7WExr`*#-?8Is%@zL^9~~ zD&25=x`%uvzMESFPl*7*Dnf?!?FhWmK-{O|V81iq;%?f>VdEv01( z1soSfBW}Eov|(QaY-tNrN?Y2p$&6{5+?GI^#3ZGZaS4I~3S$5l904N&qJRW9Z~=lK z;(`Wo0Y)JpAgEv%mqF3-|2yYANz(v-=Y8kDd_MEJSD*Xb@7d3D&pr3t+~<~(5lB!v zx;!5=YII(4QRR3<@>02~MB)-Qp|q^Bs1&-qkS}i7go2`>Lr3#Q#;fN|#7n9NwE$Um&ObVwd7lF+@9(t-;VSzL7CB4vMglVDS$r>Vqvizo;W5GDC+WL^ax zKME_$N{dP=+0f$Bv9fET^Rg72ABH?COPaulFytqaa;uAUX3QI^5yAD{H+iBs0 z&rxgOi)Wj|Rqr*_@Fg@eWMsBsT{2k#8^uPma+Qttu%R_9Zweb>Va2M0$#W-$3oCTH zF?REvSYBgxv@)#O&0d3@FPpEi8k{v4>whwMR13di22ko=#_oo$UZ)cml%vsL!Fu0p z!S#dZ4Ov<*V-Fc$qc%{>Y+ki4A-<=ftIaXRY{&X_vf9|-bX%M9_G*fA)YqwQo5g^X z^=ea!-iEGjwMKQT4vT8=It}7U04+v)t0$qUO)2}JEUc~h#b1w`6S`x@-N~c6ry#Mz zT$fO2Uqe?OU@+U=s@dAe(_0PIjRvy=DCx_EucRFfOwWr?29}ZL)DX+XR&osKEsIr2U=T#QcVMS^2 zn8I=l)zM`b^ut(X(a1vav|C?yb>fzC`Noh$T8#=nUn2pJ2!}1xQqZpr_L_65f z((;j`i}P6FsL@5mOkSqQQ&7nGRmj9tB4!df%dw$o3&!EF!iu6>P;Sw6lNm7N^5&wmC2;4VFfW9b+MW=CfJDAF3HW;2Kmhjx89+c)}OQy)jC=VfcCKYiewm znH^q3om%H~l1cvC@+l6F0rxrdpd)@`a$qS#QVq!DA}! zCXS>FuqkP;bCXVNw7SjpvLBv$yVoPCY0A>OSr$GL4ZoG8&$(He&j?MW_eD~E-SX>_ z-=JVjT)F%P)-)77P09NuBrSSwnO3DJ>rBX znbd5rRjb`*obLQc@eH0-B-u2undAM_QtM1e=7(5)nNL-q>ZWVH|Y#57+$!!=_kEH-c&NbThVfhKw6oG{ro=`9r#_&}Sdc>~jWgT#hv4>Tr&c42e zH8@Eg-%44_(-}=I}y^Es)=G}(6Q7YUUUR9nJ$cX%C6QdCEA+ljCgBl=)_VY zc>fu?f~DjdSX$J;6yudF#eXHJH%M-VbpOLoTsD)^A#mJRMAE7 z*Chj$&|?)Afw6L{6(wjv*qw?Jx>M1G?ov{W)0Nc7bVbR%TS<-H4Lw8A1!gEIRret6 zJxW^Dy^0c;qv&$)Q&L>_A%3pHT=P&qK8cO^QRaL_=bEo5Y=NQ+FF^c4l(P_JJgBhH z!-_8Yu)>0il{Ee1s5hV}k$}R&Payvjimqyz!h9=`ccsGgPbrG=DMjah3hB2fiXo(= z8Mi7**;bUh73so?;twmVDx##aL(oT*RR1xAeE~kMFyjeDah*_7!zUCNG`8t|lJq_~ zD)c@+4sZs1{QVZ!a2FJsk2lV6&lFnvPw0Ia#26kT9Bv3g^LJl7y?nu~_u*Su!SK)$ zTDm3Zea7c_&3e|J!m~(sAdT1a*z`WUju#rQ;DyG}6B@7Eg_f_|^}b7q@pZWf=hq6) z|9jGxlfHtqf%KK6yO6$$^wp%VA$=|B>qvJc4Ifo(dLM?p(0?F(18H1>*z~?^(mAA! zq`Q;Ghc(#rK71i0w7kakzTU)rNcSb(k92?114!RUdLZdRq@}}!-X~vd>V3Hso=18J z>3q@!qzg$8B|VJvaMDGjZzes0bTR3Xq)UW0`ncj}o^Sk|?zondw1$o%lEY=&&Xb-O zf-O1yzg~`>W%S^c>RDUT9Y}W;TDD76Lc6`!%k&rZl)4Y;F{It3A0)k*^a;|J^pg3C zNxMke*eqii9OPeH4A7K&@7-?K(l~m0nGxM1vCq27SJr9 zSwORZW&zCtnguiqXco{cpjkk(fMx;B0-6Oh3uqS5ETCCHvw&s+%>tSQGz(}J&@7-? zK(l~m0nGxM1vCq27SJr9SwORZW&zCtnguiqXco{cpjkk(fMx;B0-6Oh3uqSj|78K+ zHS#;-nWSfvo=e(K`a#l*NG~D%1nCu|pCP@D^b4e4CcT;THqtvu?;^cN=-jwD_;>&E zZxP6#V@BEDlcc{V{WED@cNyQ3bX(FFk-mcTwWM=M_a%Lk(1v*Z|F7$deNVoPzB_+| z^qZvLBKtSQGz(}J&@7-?K(l~m0nGxM1vCq2 z7SJr9SwORZW&zCtnguiqXco{cpjkk(fMx;B0-6Oh3;Yi(U_hRUkX87GwG2A(Q`S^4 z-}raIv2T52%yL^Wmdn4-mK)C}z8~h{zUJWyP{GIi$_)_wWAI81eK{wIIU`8;wff(eXL*}7tbspAv0%h zqbo6OVqT}qYjZlNBCoAZb(!7fI?hg)D#AVHDeA;VYmLn=%J4YtQ`F%+L4(`oRnc$+ zW3x=0?D0-ESx=kLh87WOQHis>qI3XOtUQ@5cn8_xTD+>0w+%|`|hBuNYKuH!vPMmD2G23K< zct~x%*^Lvy6S*yBZ&Mbx#nl)iue09e;+-&CoH#3H5AU+sYZiNF4L^3Gk-U1R1)3+a z+G#LY?b5VXyQdMBhIyE&hT>}YH~~T-ON~reBU=x4)r(jt9_v=kXekuVK#fOL(YG3$ z5p<|VoEv7cJ8Q*`+rN$)Q>WIUCt$VCqk2s)v)8M-9o_pN1ZPmKLu*{l24-@rb{D1|0(PM)?1Hx{Bh*HAYYGcjGp6Gf zuy8}yr7+(g@%K#tX0OV|*D#DMkLvcaJ5l*`(VS0Opdmr*nNFV8rHVL_%av5-`+-OL z*6_CaJ{Rqtr{nEj!jD7iFd?VOOj{N8wt9@tHx&$qF=n^TTy0k?yl%EjmbOPh6D(e~ z52Xepywu2IUQ+lkn766oM|7g%C75U@s&yuIP!aRde4Vq-h3naEVozd1^&jQ=f?^*L z`w;dl)nZr8?vZBi#6q{*>1OZi>f*;A=`e}dtlR{D(}}?rPdCz2%MPK`;1{A_Kl8o+ zC%zBin5BsEx;n+~#Nb_@;;whF4Vc%_8WW#s*ou^Ths9%Jn^I83A>J+j=PeXIV2&eX z_7QI3MPh&E^Gp<1D2((|%221fuHJ6;Fkfmpn&n~lrXs6I7!Z3O_Oawor^b`7qvS6l zdGr{sFM5QZIR_>QOxJr;`J{aSk>OK3GAu0Z`}^(;x{U3`G=qf5mx_DlyW?`kP6!uBAY|8bEbiZ-N~tyYTJ z+EQMjZ??p}$jbJ$M3uNi>M-z6v=kM8gS?T$X(-)yobSV*@qOs1*dIybJ;G#Cq1LkX z8F5=|$cWowQwH*^;&q1(A+?TAT}LxK6&OA2E5wCFyMm&I$mcu-pR0L!vofcsZVx88 zS`V9-iBh(sU+HK&k6e)<8@@V&8);jHjh)UA?VX8MC#~SF~|<^p)v~t#a#nD5pP~JB@h5xij zCyssJi{mpb6nSxMYt?jdY-%Mhj<=9A{CAX!p-z|M`d0ilFNXMrRv7M|wDQP{0G z(ABU#;wt$z4YS6R=}z{1OPAX@$;7^I$t`PQ>oeW#r%VrfzBT5+$)-BnRCcs=J)7MY zJ@)ZgG;dr{C0nFajAKjN;+`-RQ#Lz`*yZ8|cxGEmSS2j(tNsK(P}hDEmRy!sW=F{_~mItd>thevgV^H41(*);)Q({oEca7bjn|@LkBlE1!dfL@F&(7G_yh zJ8nB{QI?9UjV;N-aN;Y8Wq6W`J|%1^PEd52I9`VuXn{ip{UD3qwF&lS!Q$dEfE~zU zDLDUF!eU^p%EEw^_I)?YGu6b7pm_f?yvWEB-htp_!Y)g3GRUs$I|#dO=pc*R)B$%) zel}Nkz==1pZ5@#HAn&z*vFPKT}3K*{n8mE&G8NeLo7lEV~vnNBq&rRF74u zDSL|9%`)=DW5{*+a@A*LBZoTpTvRc$irr|uVI_p*SehzJeKWl zKam}7KM9XW)iyjCMR5tRyR+)pybcbvfqmM+$F8lwJ7HY@+-Yho z!o&Q0sn0k6En&qF)cNtBE85B!NbxDTA)P-x&?1x;Y3EadiosA7Ztd40jS}wUza)|x zyg00jq=xZpfIroz_}f6kP^=HDdCoZ6oVciku1N?pbut5lz>teY~k-6 zN%85ziXZ=lQ^LAvs;`qz@hOqZeQkZH#^}%Rbq?f*Mg>x%DK4W=sq!fyT{I>1yHJa8 zCTdKrit7BCp^kyy>Gf3sC8`T5MkB;f6;UFnK`G;fm-*4?fMP5QDIq1OLwj_Alqw_Y zR9r}0W(=enL#-mI{*>IPVsHgo=v`=LRlumPf<}*julHqy6<-UHKLfdyNQ+=9igyKd zxm6+gtI%2eLAka#^z~JiGCdu82jYA|4B#u@}E{?^I zm3%9)zgn`3*x;0W2XXKY$qR|uU6KRDRnsNE6ia`%SnJ}UW7#L=%M*Tpzro}a12LA&JH zF`h1Yek}b=$xjgH-Y0oIabT|Gt+DjGB=06>?@RuiSieW|x5T;lt&VSL?W8@7Cna|x zt~w?8I?h-Thp*6y^m)Xe690*qT`A)mIb&wk=S#kiIG6Yl&X~Z0J{iA)*f3r4^TdAQ z5OI`vH*wkBGW{W97x8K00I^Ol>kARLCyo#sh}jHTUJkL5IG4DJcqFl(xSaSw;&H@} z690*K39*@T24ewY8}UYBH*uKw&&0=xXA-lSvc2~cUrfA^*hu^s@o?g$#8t#AiKh}j zL+mGhmUtEMbHpLymx%Wgze*e>4iUG!N49r2v4Qv)aX;d-oU!UGBW~SZ@;KtliT_A! zB(5SJLOhYUoY+NdA@&h_iNnM`;=RQ4i6g{IiH{SnCXNzsBtAp@1~I!=_J0p?OX5Ss zdg8Oh{fIBglKuA+_vPG*u@G?)@lN6r;&+M15{HRR#CwUWi6g|d#7Btj#K(zU#8Kj@ z#B7%A-(4}rZ~lC{hqxv2{lt3W#l#mAuO&7RZz1kVyqnla{0VVC;?Ib4iBAw05dT6v zoH(n4v}ZB#wZvt_HxgG74<~jJk0$mJR};@Bb`txErx6E;XUBN1wAXy%Ao0V*QT%Yo zw|ZIF z@7rMw5_m>(XU@2ll#S%AW9%vj=iCy3tOs$pSn?oZ1H~5+Gh)8X;N^#?d^7P*;)#?# z(hUdL+z?)$F-IVqMx1Mud=GJ1cggdJS+?XyIOBd5p!?NQ&Zyt`ob2C|ls>c?m0(*( z93*~)7!TzY`XhwFJ+zdgp!Np2)A z+aQ@wb38qk*`mD*iP=k%pCk@Zc`pzfUX<}Wh+V|{iG!5?7_t8anf^QC5Va=-YcF1Z z^jR6-nz)SYc{QIyPvyTt z?E6xt-$Pu*2QoJP3oviL@q}c&D-ay!4=LF2Kr1<2^3}vHo(Wqo;xgjl#D3xlvGiv| za%Lm0x=rS9BxZbIW1CGJc1T`K9CAxuPn=7+uQkg?jM_ptLDr2 z_lend*}nb6;cb$S5xd&R`tdqOlpp9Q89zM=dvvAwSb;5h|MhggPA4|JE6Z!oncMGK zng3FX&n0_wA&&Hw?dwS#BrYHh(fz%GI9ednTVvcomhU7E(D|57>}oIL=f~oIC;4$= zJ-;zwTSXjsPqzOh;vhYr9&moQw-$Wdy@pm(^VU4ucEySU>WPWoj{Yn{s8)x(< z8kFsu7R%pS@+{&AoxcUd#uYOEW5m%knf@s-YLb;9Nid0DOX7EvcwZ8qNa7!pI0Mg~ ziS=ES#MdTq?<6iv;_@V}PU1;P+?d2OlGra<8VB}Rmc*-*_yx(Bk>s{LiSgcs_ctE@ zWfJSK)=!M@oW$9ZOFflPq>5%MREW z3Sx%vXH5&l3Q-|7kXpz@hz&9cG8tlr)Il5&C&UHe%V#&l1Mx!m@^}iQ0WuZR2$=@? zGvs#2{|UQc#`OJnY*&PO|5NN|V5SScVl>HDj8bvm7U5kdQ8?boL+O1dk7F))rub_~ zlYA{{8eT~+u5lzhY)Es5JbuXEnnRP{ooS@-MliuUfbm`2=~f(z7ri_+C-R>xW`=~X`#RHOa@vvsO;(k6<3b{7kOPx$W;R)V#v2gBqk?1iO z3+H}wC`NeLC5FYk?s!;yAzKXdc(E&`+n9i=~Kup>#r02j_TaOvlb;hrd? z?uQO{-sFMQ;K14{h60gl2$t;wlPBoSdaXXG~5EKGXPH4Ea- zbj`PNej&YkOmSBp(?sr&W}3(y(oAuW9+TZB{m^hA9MQy$OE`nY zZs0f>(mRYi(3(;RPqZe)7~mdh7-umbG7~Ne>UhjPJcKtdkx{jD9y7tKNZJ$!+Gyt-ng#$1p1rw7`w9u) z4E^8z3JKSoxZPKZXAe1<$zx1hrMOS>bq8ON@_EeWsI{vUSW;hC%|8^&=DwM@tz(8# zt=Y+(jeBeJ6xq1HqAb4FF0d5fu164iA{isU|3fHWM8}hGI5$bc5}q>9(!6<{=d|Ix zt!kbp8+U$QrgO6Dz&B}lB(hBA>po1P9<>mD!K%k2J}^Y0Si|z+7K^XD+-8efsk-aR zaF39N!v}uxr6$dC_}YMf@n;n?pta8IK_!^P%gnVXLf&O6`G--%tuV59DB>$U5ky>! zdlPZIPfzZ#^7-jbNPJGK%f+IY^74N**(CniWE1~)lX1vQl@sM+9-5yu5x`HU zIN(E@nZ^qTZqs;rR+s%_rlHJ~k0<(kj956ho2nreh#P{NDn=LorWNO-B=M619#DSH z(u@b5vy_u9yBgmjUM-&+sEN%(cw3u?@J1(uh}I{v=te?->`y|#(1c^z!-N2{Jprl{ z!IB8>M1VOGGQlnhlw_dhG0B!nicK`Hb#?YX$`&xhLQMi9MXtyAeatbe~W6YHupF7?cUSU-PpgTr_tQQSZy(ztv&km?!$I`y7(_;bKmJVaISae z@j;$dm%e`6nl^8}a{01v-p)GkOJGO5`2XR-qDF(iWVPD1e(Kz`n*+h}l1aWTZ(jOj zw=*B~UHQBGAMgFGVpnY5@d1^QhT7A&%{Kt;1WwxFjH*Gk5 z(ir{5a(!djPiMRTGdHyJtyIIuC%c8y2V6I5{~Oo!F*(18^nc&-OJ0Me{r<)+^{bzL zZ_cB0=00-E^s(DB@9W#)jjT%xd#?X@_o0U>wgkUF{pe@yZhm1~ceDP+nIA7|+xe?8 zwmE<3H7|Vc+nqm-ywPRUKTAHDP&06E(W>&fYfitkCS%OUUyYyNqbjt1W7*8ko%`;8 zwqoZC(}&L}x%KrfC#Jpl@*9r>e z%TLYvw#7vk-LUZU-fh-RJaS3q^(}*aR(aEjE}Y+Ceb{?pgoxgdP?fXiO__`Q}5;l*ojG0%FrR{7>s zn;B()ZWV6-)t2n#pEXo3d*{QGOZWJU!?*7%|8mUtuXk8hy!5thLne25VeIh`yRfk)O}gmdyb-Kw|(DxW94_p=TtqrW9sqmUcc;tkw+Hx zDP6R$?F!4}S)UJlY@<4)A-AyGt)p@(s_&WHY3G~cI~<>5c{jK9gCB2xvrEr!A9-V5 z_MOqz2fb^&J?~N ze}CoY*F1lq?s#hYWw|ZxpE2b2ZM#oia_sxVD;qQZcxG0o57xiA;G&E@(-x-Q+~t9+ zl~vBpFOJ=ql6h>edE1s}$6fs8tVP!~EdOxO`!ia9B%p0n6;Ph zesajE-0-F$u4$j2n7;MF_E|IZy*~|{YX4TaZE7d?<3BFw|NMsAfBf#E^2@%O)y`L0 zIPZ(<{tux0i<^2!9q9ld9qy7aNEjaS_A(EU%p{K=%+Zo@Zz`djnQzZ?HZ z-hjbZyfXPkk8#omZ06Q=^Oj8`(4C#)G!yzw~%F5`|?!NxE zKioLTUpe3ThJVJIr*8h!8#AY!9K7Mx-GkE0`>sftbJwc9v-(}NV^q#d`#1jDar)U; zUih}IL)}MfzaMeo}-K34xk>yfv%8M5=RVf#I;PtUySt&J}gJ~Pm{DSh*tclI2c7xVZ2EEDH#3-X}a00s>5rm!C#6Qn8Q;cF@DHJ9|jN1 zp@YnUIkKFAIii-qnLiz9#q9zACvDR#pjkk(fMx;B0-6Oh3uqS5ETCCHvw&s+%>tSQ zGz(}J&@7-?K(l~m0nGxM1vCq27SJr9SwORZW&zCtnguiqXco{cpjkk(fMx;B0-6Oh z3uqS5ETCCHvw&s+%>tSQGz(}J&@7-?K(l~m0nGxM1vCq27SJr9SwORZW&zCtnguiq TXco{cpjkk(fM$XJJPZ6U{jf4Y From 0a90a7d9ef4d4a114a573f314c02ac4ba77d7131 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 15 Oct 2024 16:43:55 +0300 Subject: [PATCH 140/183] Update general_unit_test.py --- epyt/tests/general_unit_test.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/epyt/tests/general_unit_test.py b/epyt/tests/general_unit_test.py index a6fcb4c..d96cccf 100644 --- a/epyt/tests/general_unit_test.py +++ b/epyt/tests/general_unit_test.py @@ -2390,7 +2390,7 @@ def testStepByStepHydraulic(): 75.6572215, 5.91245886, 122.73900313, 37.26099687, 1909.42463758]) np.testing.assert_array_almost_equal(flow[25], desired_flow_25, err_msg=err_msg, decimal=4) - """ + def testStepByStepHydraulicQuality(self): d = epanet('Net2.inp', ph=False) d.openHydraulicAnalysis() @@ -3712,7 +3712,7 @@ def test_getComputedHydraulicTimeSeries(): 0.00000000e+00]]) actual = comp_vals.Velocity np.testing.assert_array_almost_equal(actual, desired, err_msg=err_msg, decimal=2) -""" + @staticmethod def test_getComputedQualityTimeSeries(): d = epanet('Net1.inp', ph=False) From 81f3cd05180a0ede197e494f5154a1b08780242d Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 15 Oct 2024 16:50:46 +0300 Subject: [PATCH 141/183] Update epanet.py --- epyt/epanet.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 9d4a14d..264ee14 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -565,7 +565,7 @@ class epanet: d = epanet(inpname, msx=True,customlib=epanetlib) """ - def __getattribute__(self, function_id): + """def __getattribute__(self, function_id): # Call the superclass's __getattribute__ to retrieve the attribute attr = super().__getattribute__(function_id) @@ -595,7 +595,7 @@ def _wrapper(*args, **kwargs): return _wrapper - return attr + return attr""" def __init__(self, *argv, version=2.2, ph=False, loadfile=False, customlib=None, display_msg=True, display_warnings=True): From 07b98db3f6fa888e2488f227c34c8a3fb9c4ba48 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 15 Oct 2024 18:34:25 +0300 Subject: [PATCH 142/183] Revert "Update epanet.py" This reverts commit 81f3cd05180a0ede197e494f5154a1b08780242d. --- epyt/epanet.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 264ee14..9d4a14d 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -565,7 +565,7 @@ class epanet: d = epanet(inpname, msx=True,customlib=epanetlib) """ - """def __getattribute__(self, function_id): + def __getattribute__(self, function_id): # Call the superclass's __getattribute__ to retrieve the attribute attr = super().__getattribute__(function_id) @@ -595,7 +595,7 @@ def _wrapper(*args, **kwargs): return _wrapper - return attr""" + return attr def __init__(self, *argv, version=2.2, ph=False, loadfile=False, customlib=None, display_msg=True, display_warnings=True): From 7764345846074790621bc1acf8b8e275d7c36358 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 15 Oct 2024 18:34:30 +0300 Subject: [PATCH 143/183] Revert "Update general_unit_test.py" This reverts commit 0a90a7d9ef4d4a114a573f314c02ac4ba77d7131. --- epyt/tests/general_unit_test.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/epyt/tests/general_unit_test.py b/epyt/tests/general_unit_test.py index d96cccf..a6fcb4c 100644 --- a/epyt/tests/general_unit_test.py +++ b/epyt/tests/general_unit_test.py @@ -2390,7 +2390,7 @@ def testStepByStepHydraulic(): 75.6572215, 5.91245886, 122.73900313, 37.26099687, 1909.42463758]) np.testing.assert_array_almost_equal(flow[25], desired_flow_25, err_msg=err_msg, decimal=4) - + """ def testStepByStepHydraulicQuality(self): d = epanet('Net2.inp', ph=False) d.openHydraulicAnalysis() @@ -3712,7 +3712,7 @@ def test_getComputedHydraulicTimeSeries(): 0.00000000e+00]]) actual = comp_vals.Velocity np.testing.assert_array_almost_equal(actual, desired, err_msg=err_msg, decimal=2) - +""" @staticmethod def test_getComputedQualityTimeSeries(): d = epanet('Net1.inp', ph=False) From f0d7115229b5d65aaf9db6fa9fc3f321e53880e5 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 22 Oct 2024 12:13:06 +0300 Subject: [PATCH 144/183] general unit test fix? --- epyt/tests/general_unit_test.py | 24 ++++++++++++------------ 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/epyt/tests/general_unit_test.py b/epyt/tests/general_unit_test.py index a6fcb4c..a035f3b 100644 --- a/epyt/tests/general_unit_test.py +++ b/epyt/tests/general_unit_test.py @@ -2390,7 +2390,7 @@ def testStepByStepHydraulic(): 75.6572215, 5.91245886, 122.73900313, 37.26099687, 1909.42463758]) np.testing.assert_array_almost_equal(flow[25], desired_flow_25, err_msg=err_msg, decimal=4) - """ + def testStepByStepHydraulicQuality(self): d = epanet('Net2.inp', ph=False) d.openHydraulicAnalysis() @@ -2563,7 +2563,7 @@ def testStepByStepHydraulicQuality(self): 0.97022719, 1.00736078, 0.94322095, 0.80143815, 0.12152811, 0.14431463, 0.08355057, 0.0130776, 0.02278652, 0.01139326, 0.11465239, 0.01730443, 0.02278652, 0.00548209, 0.00759551]) - np.testing.assert_array_almost_equal(velocity[5], desired_vel_5, err_msg=err_msg) + np.testing.assert_array_almost_equal(velocity[5], desired_vel_5, err_msg=err_msg, decimal=4) desired_vel_25 = np.array([1.81227798, 1.49462949, 0.65854063, 0.56024584, 0.22403439, 1.69370013, 1.67809778, 0.04368657, 1.62192933, 0.03510528, @@ -2573,7 +2573,7 @@ def testStepByStepHydraulicQuality(self): 0.96107627, 0.99540144, 0.93611252, 0.80505279, 0.11233691, 0.13340008, 0.07723162, 0.01208854, 0.02106317, 0.01053158, 0.11353814, 0.01599569, 0.02106317, 0.00506748, 0.00702106]) - np.testing.assert_array_almost_equal(velocity[25], desired_vel_25, err_msg=err_msg) + np.testing.assert_array_almost_equal(velocity[25], desired_vel_25, err_msg=err_msg, decimal=4) desired_vel_50 = np.array([1.81227798, 1.49714577, 0.65645338, 0.56441371, 0.22747538, 1.70124599, 1.68663652, 0.04090652, 1.63404243, 0.03287131, @@ -2583,7 +2583,7 @@ def testStepByStepHydraulicQuality(self): 1.01524366, 1.04738449, 0.9918685, 0.86914894, 0.10518819, 0.12491098, 0.07231688, 0.01131927, 0.01972279, 0.00986139, 0.12084703, 0.01497778, 0.01972279, 0.004745, 0.00657426]) - np.testing.assert_array_almost_equal(velocity[50], desired_vel_50, err_msg=err_msg) + np.testing.assert_array_almost_equal(velocity[50], desired_vel_50, err_msg=err_msg, decimal=4) # Test Link Head Loss err_msg = 'Error in Link Head Loss ' @@ -2597,7 +2597,7 @@ def testStepByStepHydraulicQuality(self): 7.93029468e-02, 7.23210341e-03, 1.06388168e-02, 3.86634775e-03, 2.18121485e-04, 8.71385305e-04, 9.65523106e-05, 8.68436388e-03, 2.61714521e-04, 8.71385306e-04, 4.35930363e-05, 3.41745593e-05]) - np.testing.assert_array_almost_equal(head_loss[5], desired_hl_5, err_msg=err_msg) + np.testing.assert_array_almost_equal(head_loss[5], desired_hl_5, err_msg=err_msg, decimal=4) desired_hl_23 = np.array([0.00000000e+00, 2.12312025e-03, 6.07622722e-03, 5.55697659e-03, 2.64237088e-03, 1.77728998e-02, 5.02764696e-02, 1.49966988e-03, @@ -2609,7 +2609,7 @@ def testStepByStepHydraulicQuality(self): 1.55718379e-01, 8.03966410e-03, 1.18267824e-02, 4.29807698e-03, 2.42477654e-04, 9.68687084e-04, 1.07333662e-04, 5.50837145e-04, 2.90938434e-04, 9.68687084e-04, 4.84607797e-05, 3.79906041e-05]) - np.testing.assert_array_almost_equal(head_loss[23], desired_hl_23, err_msg=err_msg) + np.testing.assert_array_almost_equal(head_loss[23], desired_hl_23, err_msg=err_msg, decimal=4) desired_hl_51 = np.array([4.31256504e+00, 1.01913328e+00, 5.61048713e-01, 4.16152148e-01, 4.19324206e-02, 1.96783554e+00, 4.37316956e+00, 6.61642927e-04, @@ -2621,7 +2621,7 @@ def testStepByStepHydraulicQuality(self): 1.35577363e-01, 3.54703856e-03, 5.21788629e-03, 1.89627882e-03, 1.06979294e-04, 4.27377362e-04, 4.73547942e-05, 1.26416617e-02, 1.28359821e-04, 4.27377362e-04, 2.13805269e-05, 1.67611652e-05]) - np.testing.assert_array_almost_equal(head_loss[51], desired_hl_51, err_msg=err_msg) + np.testing.assert_array_almost_equal(head_loss[51], desired_hl_51, err_msg=err_msg, decimal=4) # Test Link Settings err_msg = 'Error in Link Settings' @@ -2629,7 +2629,7 @@ def testStepByStepHydraulicQuality(self): 100., 100., 100., 100., 100., 100., 100., 100., 100., 100., 100., 100., 100., 100., 100., 100., 100., 100., 100., 100., 100., 100., 100., 100., 100., 100., 100., 100., 100.]) - np.testing.assert_array_almost_equal(settings[0], desired_sett_0, err_msg=err_msg) + np.testing.assert_array_almost_equal(settings[0], desired_sett_0, err_msg=err_msg, decimal=4) # Test Link Energy err_msg = 'Error in Link Energy' @@ -2643,7 +2643,7 @@ def testStepByStepHydraulicQuality(self): 4.22318706e-03, 5.84012767e-05, 4.53421535e-05, 9.54000958e-06, 8.42412685e-08, 5.86390195e-07, 3.24869652e-08, 2.94048909e-05, 1.33746844e-07, 5.86390195e-07, 7.05767837e-09, 7.66581151e-09]) - np.testing.assert_array_almost_equal(energy[5], desired_energy_5, err_msg=err_msg) + np.testing.assert_array_almost_equal(energy[5], desired_energy_5, err_msg=err_msg, decimal=4) desired_energy_23 = np.array([0.00000000e+00, 7.57281174e-06, 1.01274099e-05, 9.21563204e-06, 9.40276051e-06, 1.60406707e-04, 5.13468317e-04, 4.98657667e-06, @@ -2655,7 +2655,7 @@ def testStepByStepHydraulicQuality(self): 1.19378331e-02, 6.87415312e-05, 5.33702213e-05, 1.12291187e-05, 9.91566299e-08, 6.90213677e-07, 3.82389540e-08, 4.20717423e-07, 1.57427429e-07, 6.90213677e-07, 8.30727765e-09, 9.02308390e-09]) - np.testing.assert_array_almost_equal(energy[23], desired_energy_23, err_msg=err_msg) + np.testing.assert_array_almost_equal(energy[23], desired_energy_23, err_msg=err_msg, decimal=4) desired_energy_51 = np.array([5.19327654e-01, 1.01923935e-01, 1.07665857e-02, 7.09644859e-03, 6.63834774e-04, 2.25553307e-01, 4.97914128e-01, 1.41431120e-06, @@ -2667,7 +2667,7 @@ def testStepByStepHydraulicQuality(self): 9.64479399e-03, 1.94967257e-05, 1.51370583e-05, 3.18484390e-06, 2.81231677e-08, 1.95760939e-07, 1.08454726e-08, 5.24245111e-05, 4.46501460e-08, 1.95760939e-07, 2.35614062e-09, 2.55916022e-09]) - np.testing.assert_array_almost_equal(energy[51], desired_energy_51, err_msg=err_msg) + np.testing.assert_array_almost_equal(energy[51], desired_energy_51, err_msg=err_msg, decimal=4) # Test Node Actual Demand Sensing Nodes err_msg = 'Error in Node Actual Demand Sensing Nodes' @@ -3712,7 +3712,7 @@ def test_getComputedHydraulicTimeSeries(): 0.00000000e+00]]) actual = comp_vals.Velocity np.testing.assert_array_almost_equal(actual, desired, err_msg=err_msg, decimal=2) -""" + @staticmethod def test_getComputedQualityTimeSeries(): d = epanet('Net1.inp', ph=False) From 267f49da845e51082791cd8c5e944eeafc4c671e Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 22 Oct 2024 12:57:14 +0300 Subject: [PATCH 145/183] unit_test leakage from epanet 2.3 update + some set functions now return their error --- epyt/epanet.py | 7 +++- epyt/tests/test_unit_Leakage.py | 70 +++++++++++++++++++++++++++++++++ 2 files changed, 75 insertions(+), 2 deletions(-) create mode 100644 epyt/tests/test_unit_Leakage.py diff --git a/epyt/epanet.py b/epyt/epanet.py index 9d4a14d..c4d45c3 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -10246,6 +10246,7 @@ def setTimeSimulationDuration(self, value): See also getTimeSimulationDuration(), getTimeClockStartTime(), getTimeHaltFlag(). """ self.api.ENsettimeparam(self.ToolkitConstants.EN_DURATION, value) + return self.api.errcode def setTimeStatisticsType(self, value): """ Sets the statistic type. @@ -17289,7 +17290,8 @@ def ENsetlinkvalue(self, index, paramcode, value): c_float(value)) self.ENgeterror() - return + return self.errcode + def ENsetnodeid(self, index, newid): """ Changes the ID name of a node. @@ -17670,6 +17672,7 @@ def ENsettimeparam(self, paramcode, timevalue): self.errcode = self._lib.ENsettimeparam(c_int(paramcode), c_long(int(timevalue))) self.ENgeterror() + return self.errcode def ENsettitle(self, line1, line2, line3): """ Sets the title lines of the project. @@ -17733,7 +17736,7 @@ def ENsolveH(self): self.errcode = self._lib.ENsolveH() self.ENgeterror() - return + return self.errcode def ENsolveQ(self): """ Runs a complete water quality simulation with results at uniform reporting diff --git a/epyt/tests/test_unit_Leakage.py b/epyt/tests/test_unit_Leakage.py new file mode 100644 index 0000000..11fcdcf --- /dev/null +++ b/epyt/tests/test_unit_Leakage.py @@ -0,0 +1,70 @@ +import unittest +import math +from epyt import epanet + +class TestLeakage(unittest.TestCase): + + def test_leakage_model(self): + error = 0 + Pipe21, Junc21, Junc22 = None, None, None + pipe21Leak, junc21Leak, junc22Leak = 0.0, 0.0, 0.0 + ph = None + + # Create class and open network + d = epanet("Net1.inp") + + + + # Single period analysis + + EN_LEAK_AREA = 26 + EN_LEAK_EXPAN = 27 + EN_LINK_LEAKAGE = 28 + EN_LEAKAGEFLOW = 30 + error = d.setTimeSimulationDuration(0) + self.assertEqual(error, 0) + + # Get index of Pipe 21 + error = d.api.ENgetlinkindex("21") + Pipe21 = error + self.assertIsNotNone(Pipe21) + + # Set Pipe21 leak area to 1.0 sq mm per 100 ft of pipe + # and its expansion rate to 0.1 sq mm per ft of head + error = d.api.ENsetlinkvalue(Pipe21, EN_LEAK_AREA, 1.0) + self.assertEqual(error, 0) + error = d.api.ENsetlinkvalue(Pipe21, EN_LEAK_EXPAN, 0.1) + self.assertEqual(error, 0) + + # Solve for hydraulics + error = d.api.ENsolveH() + self.assertEqual(error, 0) + + # Compute Pipe 21 leakage flow using the FAVAD formula EN_LINK_LEAKAGE + pipe21Leak = d.getLinkLeakageRate(Pipe21) + self.assertEqual(d.api.errcode, 0) + + # Retrieve leakage flow at end nodes + Junc21 = d.api.ENgetnodeindex('21') + self.assertEqual(d.api.errcode, 0) + Junc22 = d.api.ENgetnodeindex('22') + self.assertEqual(d.api.errcode, 0) + + junc21Leak = d.api.ENgetnodevalue(Junc21, EN_LEAKAGEFLOW) + self.assertEqual(d.api.errcode, 0) + junc22Leak = d.api.ENgetnodevalue(Junc22, EN_LEAKAGEFLOW) + self.assertEqual(d.api.errcode, 0) + + + #print(pipe21Leak) + #print(junc21Leak) + #print(junc22Leak) + # Check that the sum of the node leakages equals the pipe leakage + self.assertTrue(abs(pipe21Leak - (junc21Leak + junc22Leak)) < 0.01) + + # Clean up + error = d.unload() + self.assertEqual(d.api.errcode, 0) + +if __name__ == '__main__': + unittest.main() \ No newline at end of file From 0e9b9fbd7c8daef422c51b50c43739587f211bbd Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 24 Oct 2024 09:28:40 +0300 Subject: [PATCH 146/183] test unit leakage with EN functions --- epyt/tests/test_unit_Leakage.py | 13 +++++-------- 1 file changed, 5 insertions(+), 8 deletions(-) diff --git a/epyt/tests/test_unit_Leakage.py b/epyt/tests/test_unit_Leakage.py index 11fcdcf..cd10830 100644 --- a/epyt/tests/test_unit_Leakage.py +++ b/epyt/tests/test_unit_Leakage.py @@ -13,20 +13,17 @@ def test_leakage_model(self): # Create class and open network d = epanet("Net1.inp") - - # Single period analysis - + EN_DURATION = 0 EN_LEAK_AREA = 26 EN_LEAK_EXPAN = 27 EN_LINK_LEAKAGE = 28 EN_LEAKAGEFLOW = 30 - error = d.setTimeSimulationDuration(0) + error = d.api.ENsettimeparam(EN_DURATION, 0) self.assertEqual(error, 0) # Get index of Pipe 21 - error = d.api.ENgetlinkindex("21") - Pipe21 = error + Pipe21 = d.api.ENgetlinkindex("21") self.assertIsNotNone(Pipe21) # Set Pipe21 leak area to 1.0 sq mm per 100 ft of pipe @@ -41,7 +38,7 @@ def test_leakage_model(self): self.assertEqual(error, 0) # Compute Pipe 21 leakage flow using the FAVAD formula EN_LINK_LEAKAGE - pipe21Leak = d.getLinkLeakageRate(Pipe21) + pipe21Leak = d.api.ENgetlinkvalue(Pipe21, EN_LINK_LEAKAGE) self.assertEqual(d.api.errcode, 0) # Retrieve leakage flow at end nodes @@ -63,7 +60,7 @@ def test_leakage_model(self): self.assertTrue(abs(pipe21Leak - (junc21Leak + junc22Leak)) < 0.01) # Clean up - error = d.unload() + error = d.api.ENclose() self.assertEqual(d.api.errcode, 0) if __name__ == '__main__': From 83f2dc61aa11745c319590e5deb81b6854e4f0bc Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Thu, 24 Oct 2024 10:05:01 +0300 Subject: [PATCH 147/183] revert changes --- epyt/epanet.py | 14 ++++++++------ epyt/tests/test_unit_Leakage.py | 2 +- 2 files changed, 9 insertions(+), 7 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index c4d45c3..3840529 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -565,10 +565,11 @@ class epanet: d = epanet(inpname, msx=True,customlib=epanetlib) """ + """ def __getattribute__(self, function_id): # Call the superclass's __getattribute__ to retrieve the attribute attr = super().__getattribute__(function_id) - + if callable(attr) and not function_id.startswith("__") and not function_id.startswith("_") and not function_id.startswith("EN")\ and not function_id.startswith("printv")and not function_id.startswith("MSX")and not function_id.startswith("test")and not function_id.startswith("load"): # Create a _wrapper function to include additional actions @@ -596,6 +597,7 @@ def _wrapper(*args, **kwargs): return _wrapper return attr + """ def __init__(self, *argv, version=2.2, ph=False, loadfile=False, customlib=None, display_msg=True, display_warnings=True): @@ -728,8 +730,8 @@ def __init__(self, *argv, version=2.2, ph=False, loadfile=False, customlib=None, self.LibEPANET = self.api.LibEPANET if self.display_msg: print(f'Input File {self.netName} loaded successfully.\n') - if not self._isConnected(): - warnings.warn("The network is not fully connected, one or more link(s) are missing.",UserWarning) + #if not self._isConnected(): + # warnings.warn("The network is not fully connected, one or more link(s) are missing.",UserWarning) def addControls(self, control, *argv): """ Adds a new simple control. @@ -14626,7 +14628,7 @@ def _dfs(node): for neighbor in range(n): if matrix[node][neighbor] == 1 and not visited[neighbor]: _dfs(neighbor) - _dfs(0) + _dfs(1) if all(visited): return True else: @@ -15876,8 +15878,8 @@ def ENgeterror(self, errcode=0): self.errcode = errcode errmssg = create_string_buffer(150) self._lib.ENgeterror(self.errcode, byref(errmssg), 150) - return errmssg.value.decode() # for smoother error messages - #warnings.warn(errmssg.value.decode()) + #return errmssg.value.decode() # for smoother error messages + warnings.warn(errmssg.value.decode()) def ENgetflowunits(self): """ Retrieves a project's flow units. diff --git a/epyt/tests/test_unit_Leakage.py b/epyt/tests/test_unit_Leakage.py index cd10830..99852ad 100644 --- a/epyt/tests/test_unit_Leakage.py +++ b/epyt/tests/test_unit_Leakage.py @@ -51,7 +51,7 @@ def test_leakage_model(self): self.assertEqual(d.api.errcode, 0) junc22Leak = d.api.ENgetnodevalue(Junc22, EN_LEAKAGEFLOW) self.assertEqual(d.api.errcode, 0) - + d.solveCompleteHydraulics() #print(pipe21Leak) #print(junc21Leak) From e4cd12fd61839407f71e3843b4ab0d964ddcea63 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 12 Nov 2024 12:54:08 +0200 Subject: [PATCH 148/183] Users can now include an id column which contains the node or link IDs from the EPANET model by setting the id parameter to True Usage: To include the 'Id' column, set Id=True when calling the to_excel method. Requirement: You must provide an instance of the EPANET model (epanet_instance) to retrieve the node or link IDs. --- epyt/epanet.py | 223 ++++++++++++++++++++++++++++++++++++++----------- 1 file changed, 173 insertions(+), 50 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 3840529..be01429 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -439,24 +439,28 @@ def to_dict(self): dict_values = vars(self) return dict_values - def to_excel(self, filename=None, attributes=None, allValues=False): + def to_excel(self, filename=None, attributes=None, allValues=False, Index=True, Id=False, epanet_instance=None): """ Save to an Excel file the values of EpytValues class :param self: Values to add to the Excel file :type self: EpytValues class - :param filename: excel filename, defaults to None + :param filename: Excel filename, defaults to None :type filename: str, optional - :param attributes: attributes to add to the file, defaults to None + :param attributes: Attributes to add to the file, defaults to None :type attributes: str or list of str, optional - :param allValues: 'True' if all the values will be included in a - separate sheet, defaults to False + :param allValues: 'True' if all the values will be included in a separate sheet, defaults to False :type allValues: bool, optional + :param Index: Include an 'Index' column, defaults to True + :type Index: bool, optional + :param Id: Include an 'Id' column from epanet instance, defaults to False + :type Id: bool, optional + :param epanet_instance: An instance of the epanet class to fetch IDs + :type epanet_instance: epanet class instance, optional :return: None """ if filename is None: - rand_id = ''.join(random.choices(string.ascii_letters - + string.digits, k=5)) + rand_id = ''.join(random.choices(string.ascii_letters + string.digits, k=5)) filename = 'ToExcelfile_' + rand_id + '.xlsx' if '.xlsx' not in filename: filename = filename + '.xlsx' @@ -469,58 +473,177 @@ def to_excel(self, filename=None, attributes=None, allValues=False): else: dictValss[i] = dictVals[i] dictVals = dictValss + + # Define keywords for node and link data + node_keywords = ['nodequality', 'head', 'demand'] + link_keywords = ['linkquality', 'pressure', 'flow', 'velocity', 'headloss', 'Status', 'Setting', 'ReactionRate' + ,'StatusStr','FrictionFactor'] + + # Helper function to match whole words + def is_keyword_in_key(key_lower, keyword): + pattern = r'\b' + re.escape(keyword.lower()) + r'\b' + return re.search(pattern, key_lower) is not None + with pd.ExcelWriter(filename, mode="w") as writer: for key in dictVals: if 'Time' not in key: - if not attributes: - df = pd.DataFrame(dictVals[key]) - df.insert(0, "Index", list(range(1, len(dictVals[key]) + 1)), True) - df.set_index("Index", inplace=True) - df.to_excel(writer, sheet_name=key, - header=dictVals['Time']) - else: - if not isList(attributes): - attributes = [attributes] - if key in attributes: - df = pd.DataFrame(dictVals[key]) - df.insert(0, "Index", list(range(1, len(dictVals[key]) + 1)), True) - df.set_index("Index", inplace=True) - df.to_excel(writer, - sheet_name=key, - header=dictVals['Time']) + if not attributes or key in attributes: + #print(f"Processing key: {key}") + #print(f"Type of dictVals[key]: {type(dictVals[key])}") + #print(f"Content of dictVals[key]: {dictVals[key]}") + + data = dictVals[key] + + # Check if data is suitable for DataFrame creation + if isinstance(data, (list, np.ndarray, pd.Series, pd.DataFrame)): + df = pd.DataFrame(data) + else: + print(f"Skipping key '{key}' due to unsupported data type: {type(data)}") + continue # Skip processing this key + + header_labels = [] + + # Insert 'Id' column if Id is True + if Id: + num_rows = len(df) + id_values = [] + + # Check if epanet_instance is provided + if epanet_instance is not None: + # Convert key to lowercase for case-insensitive comparison + key_lower = key.lower() + + + if any(is_keyword_in_key(key_lower, kw) for kw in node_keywords) or 'node' in key_lower: + # Fetch node IDs + for i in range(num_rows): + id_value = epanet_instance.getNodeNameID(i + 1) + id_values.append(id_value) + elif any(is_keyword_in_key(key_lower, kw) for kw in + link_keywords) or 'link' in key_lower: + # Fetch link IDs + for i in range(num_rows): + id_value = epanet_instance.getLinkNameID(i + 1) + id_values.append(id_value) + else: + warnings.warn( + f"Cannot determine if '{key}' is for nodes or links based on provided keywords. 'Id' column will be left blank.") + + id_values = [''] * num_rows + else: + warnings.warn( + "epanet_instance must be provided when Id=True. 'Id' column will be left blank.") + + id_values = [''] * num_rows + + # Ensure the length of id_values matches the number of rows in df + if len(id_values) != num_rows: + warnings.warn( + "Length of Id values does not match number of rows in data. Adjusting id_values length.") + id_values = id_values[:num_rows] + + df.insert(0, 'Id', id_values) + header_labels.append('Id') + + # Insert 'Index' column if Index is True + if Index: + index_values = list(range(1, len(df) + 1)) + df.insert(0, "Index", index_values, True) + header_labels.insert(0, 'Index') + + # Append time labels to header labels + num_data_columns = df.shape[1] - len(header_labels) + if 'Time' in dictVals and len(dictVals['Time']) == num_data_columns: + header_labels.extend(dictVals['Time']) + else: + # Use default column names if Time labels are not available or mismatched + data_column_names = [f"Column{i + 1}" for i in range(num_data_columns)] + header_labels.extend(data_column_names) + + df.columns = header_labels + + df.to_excel(writer, sheet_name=key, index=False) + if allValues: first_iter = True - titleFormat = writer.book.add_format( - {'bold': True, 'align': 'center', - 'valign': 'vcenter', 'font_size': 16}) for key in dictVals: - if key != 'Time' and not attributes: - df = pd.DataFrame(dictVals[key]) - df.insert(0, "Index", list(range(1, len(dictVals[key]) + 1)), True) - df.set_index("Index", inplace=True) + if key != 'Time' and (not attributes or key in attributes): + data = dictVals[key] + + # Check if data is suitable for DataFrame creation + if isinstance(data, (list, np.ndarray, pd.Series, pd.DataFrame)): + df = pd.DataFrame(data) + else: + print(f"Skipping key '{key}' due to unsupported data type: {type(data)}") + continue # Skip processing this key + + header_labels = [] + + + if Id: + num_rows = len(df) + id_values = [] + + if epanet_instance is not None: + key_lower = key.lower() + + + if any(is_keyword_in_key(key_lower, kw) for kw in node_keywords) or 'node' in key_lower: + # Fetch node IDs + for i in range(num_rows): + id_value = epanet_instance.getNodeNameID(i + 1) + id_values.append(id_value) + elif any(is_keyword_in_key(key_lower, kw) for kw in + link_keywords) or 'link' in key_lower: + # Fetch link IDs + for i in range(num_rows): + id_value = epanet_instance.getLinkNameID(i + 1) + id_values.append(id_value) + else: + warnings.warn( + f"Cannot determine if '{key}' is for nodes or links based on provided keywords. 'Id' column will be left blank.") + # Create empty 'Id' column + id_values = [''] * num_rows + else: + warnings.warn( + "epanet_instance must be provided when Id=True. 'Id' column will be left blank.") + # Create empty 'Id' column + id_values = [''] * num_rows + + if len(id_values) != num_rows: + warnings.warn( + "Length of Id values does not match number of rows in data. Adjusting id_values length.") + id_values = id_values[:num_rows] + + df.insert(0, 'Id', id_values) + header_labels.append('Id') + + if Index: + index_values = list(range(1, len(df) + 1)) + df.insert(0, "Index", index_values, True) + header_labels.insert(0, 'Index') + + num_data_columns = df.shape[1] - len(header_labels) + if 'Time' in dictVals and len(dictVals['Time']) == num_data_columns: + header_labels.extend(dictVals['Time']) + else: + data_column_names = [f"Column{i + 1}" for i in range(num_data_columns)] + header_labels.extend(data_column_names) + + df.columns = header_labels + if first_iter: - df.to_excel( - writer, - sheet_name='All values', - header=dictVals['Time'], - startrow=1 - ) - writer.book.worksheets()[-1].write(0, 1, key, - titleFormat) + df.to_excel(writer, sheet_name='All values', index=False, startrow=1) + worksheet = writer.sheets['All values'] + worksheet.write(0, 0, key) first_iter = False else: - startrow = writer.book.worksheets()[-1].dim_rowmax \ - + 3 - writer.book.worksheets()[-1].write(startrow - 1, - 1, - key, - titleFormat) - df.to_excel( - writer, - sheet_name='All values', - header=dictVals['Time'], - startrow=startrow - ) + worksheet = writer.sheets['All values'] + startrow = worksheet.dim_rowmax + 3 + worksheet.write(startrow - 1, 0, key) + df.to_excel(writer, sheet_name='All values', index=False, startrow=startrow) + + print(f"Data successfully exported to {filename}") def to_json(self, filename=None): """ Transforms val class values to json object and saves them From c2f0d1619f6a3f193c9e9d2e6b4882ffed579780 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Mon, 26 May 2025 11:30:28 +0300 Subject: [PATCH 149/183] #77 + example --- epyt/epanet.py | 239 ++++++++++++++++++ .../python/ExampleMSXStatisticsToExcel.py | 25 ++ 2 files changed, 264 insertions(+) create mode 100644 epyt/examples/python/ExampleMSXStatisticsToExcel.py diff --git a/epyt/epanet.py b/epyt/epanet.py index 146cad8..35080af 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -13615,6 +13615,245 @@ def plotMSXSpeciesLinkConcentration(self, *args): plt.legend() plt.show() + def exportMSXts(self, results, output_file='computedtoexcel.xlsx', selected_nodes=None, + selected_species=None, + header=True): + """ + Exports multi-species water-quality time-series results (from an EPANET-MSX + simulation) to an Excel workbook—one sheet per species. + + Parameters: + ---------- + results : obj + A results object returned by `getMSXComputedQualityNode`. + It must expose ``Time`` (1-D array-like) and ``Quality`` + output_file : str, default ``"computedtoexcel.xlsx"`` + Name (or path) for the Excel file to create. “.xlsx” is appended + automatically when omitted. + selected_nodes : list[str | int] | None, default ``None`` + Node IDs or zero-based node indices to include. + • ``None`` → export **all** nodes. + • Strings → treated as node IDs. + • Integers → treated as node indices. + selected_species : list[str | int] | None, default ``None`` + Species names or zero-based species indices to include. + Same ID / index rules as *selected_nodes*. + header : bool, default ``True`` + Write column headers (“NODE INDEX”, “NODE ID”, time steps …). + If ``False``, headers are suppressed and the first data row is + removed—useful for appending to an existing sheet. + + Simple Example with all nodes and species: + G = epanet("net2-cl2.inp") + G.loadMSXFile("net2-cl2.msx") + MSX_comp = G.getMSXComputedQualityNode() + G.exportMSXts(MSX_comp, "net2") + G.exportMSXstatistics("net2","summarynet2") + + Advanced Examples: + G = epanet("net2-cl2.inp") + G.loadMSXFile("net2-cl2.msx") + + # Run MSX simulation and grab node-quality results + msx_results = G.getMSXComputedQualityNode() + + # 1) Export every species for every node (default behaviour) + G.exportMSXts(msx_results, "net2_full.xlsx") + + # 2) Export only chlorine for two specific nodes, keep headers + G.exportMSXts( + MSX_comp, + output_file="chlorine_subset.xlsx", + selected_nodes=["10", "15"], #select nodes by their id + selected_species=["CL2"] + ) + + + G.exportMSXts( + MSX_comp, + output_file="chlorine_subset1.xlsx", + selected_nodes=[9, 14], #select node by their index + selected_species=["CL2"] + ) + + # 3) Export species index 0 for nodes 0-4, omit headers + G.exportMSXts( + msx_results, + "first_species_nodes0to4.xlsx", + selected_nodes=list(range(5)), + selected_species=[0], #select specie by its index + header=False + + """ + if not output_file.endswith('.xlsx'): + output_file += '.xlsx' + + if not hasattr(results, 'Time') or not hasattr(results, 'Quality'): + raise ValueError("Simulation results are not properly initialized or run.") + + time_data = results.Time + species_list = self.getMSXSpeciesNameID() + + node_ids = self.getNodeNameID() + node_indices = list(range(len(node_ids))) + + if selected_nodes: + selected_node_indices = [] + for node in selected_nodes: + if isinstance(node, str): # Node ID + if node in node_ids: + selected_node_indices.append(node_ids.index(node)) + else: + raise ValueError(f"Node ID '{node}' not found.") + elif isinstance(node, int): # Node index + if 0 <= node < len(node_ids): + selected_node_indices.append(node) + else: + raise ValueError(f"Node index '{node}' is out of range.") + else: + raise ValueError(f"Invalid node identifier: {node}") + else: + selected_node_indices = node_indices + + if selected_species: + selected_species_indices = [] + for species in selected_species: + if isinstance(species, str): # Species name + if species in species_list: + selected_species_indices.append(species_list.index(species)) + else: + raise ValueError(f"Species name '{species}' not found.") + elif isinstance(species, int): # Species index + if 0 <= species < len(species_list): + selected_species_indices.append(species) + else: + raise ValueError(f"Species index '{species}' is out of range.") + else: + raise ValueError(f"Invalid species identifier: {species}") + else: + selected_species_indices = list(range(len(species_list))) + + with pd.ExcelWriter(output_file, engine='xlsxwriter') as writer: + node_keys = list(results.Quality.keys()) + + for species_index in selected_species_indices: + species_name = species_list[species_index] + species_data = [] + + for node_index in selected_node_indices: + node_key = node_keys[node_index] + quality_data = np.array(results.Quality[node_key]) + + # If quality_data has an extra leading dimension + if quality_data.ndim == 3 and quality_data.shape[0] == 1: + quality_data = quality_data[0] + + num_timesteps = len(time_data) + num_species = len(species_list) + expected_shape = (num_timesteps, num_species) + + if quality_data.shape != expected_shape: + raise ValueError( + f"Node {node_key}: quality_data does not match expected shape {expected_shape}. " + f"Actual shape: {quality_data.shape}" + ) + species_data.append(quality_data[:, species_index]) + + species_data_array = np.array(species_data) + + df = pd.DataFrame(species_data_array, columns=time_data, + index=[node_ids[i] for i in selected_node_indices]) + df.insert(0, 'NODE INDEX', [node_indices[i] for i in selected_node_indices]) + df.insert(1, 'NODE ID', [node_ids[i] for i in selected_node_indices]) + + # If header is False, remove the first data row from df + if not header and len(df) > 0: + df = df.iloc[1:].copy() + + sheet_name = f"{species_name}" + # If header=False, no column headers will be written to the Excel sheet. + df.to_excel(writer, index=False, sheet_name=sheet_name, header=header) + + worksheet = writer.sheets[sheet_name] + worksheet.set_column('A:A', 13.0) + + print(f"Data successfully written to {output_file}") + + def exportMSXstatistics(self,input_path, output_path="summary_output.xlsx", nodeids=True, nodeindex=True): + """ + Summarizes min, max, and average values for each node in an Excel file with a specific structure. + + Parameters: + input_path (str): Path to the input Excel file. + output_path (str): Path to save the output summary Excel file. + nodeids (bool): Include node IDs (from column 1) in the summary. + nodeindex (bool): Include node index (from column 0) in the summary. + + Simple Example with all nodes and species: + G = epanet("net2-cl2.inp") + G.loadMSXFile("net2-cl2.msx") + MSX_comp = G.getMSXComputedQualityNode() + G.exportMSXts(MSX_comp, "net2") + G.exportMSXstatistics("net2","summarynet2") + + # Example usage: + exportMSXstatistics("outexcel3.xlsx","summary_output1.xlsx", nodeids=True, nodeindex=False) # Only node IDs + exportMSXstatistics("outexcel3.xlsx", "summary_output2.xlsx",nodeids=False, nodeindex=True) # Only node indices + exportMSXstatistics("outexcel3.xlsx","summary_output3.xlsx", nodeids=True, nodeindex=True) # Both + """ + if not input_path.endswith('.xlsx'): + input_path += '.xlsx' + + if not output_path.endswith('.xlsx'): + output_path += '.xlsx' + xls = pd.ExcelFile(input_path) + output_data = {} + + for sheet in xls.sheet_names: + df = xls.parse(sheet, header=None) + + data = df.iloc[1:].reset_index(drop=True) + + summary_rows = [] + + for _, row in data.iterrows(): + index = int(row[0]) + node_id = str(row[1]) + values = pd.to_numeric(row[2:], errors='coerce').dropna() + + if values.empty: + continue + + summary = { + 'Min': values.min(), + 'Max': values.max(), + 'Mean': values.mean() + } + + if nodeids: + summary['NodeID'] = node_id + if nodeindex: + summary['NodeIndex'] = index + + ordered_summary = {} + if nodeids: + ordered_summary['NodeID'] = summary['NodeID'] + if nodeindex: + ordered_summary['NodeIndex'] = summary['NodeIndex'] + ordered_summary['Min'] = summary['Min'] + ordered_summary['Max'] = summary['Max'] + ordered_summary['Mean'] = summary['Mean'] + + summary_rows.append(ordered_summary) + + output_data[sheet] = pd.DataFrame(summary_rows) + + with pd.ExcelWriter(output_path) as writer: + for sheet_name, df in output_data.items(): + df.to_excel(writer, sheet_name=sheet_name, index=False) + + print(f"Summary saved to: {output_path}") + class epanetapi: """ diff --git a/epyt/examples/python/ExampleMSXStatisticsToExcel.py b/epyt/examples/python/ExampleMSXStatisticsToExcel.py new file mode 100644 index 0000000..652f59e --- /dev/null +++ b/epyt/examples/python/ExampleMSXStatisticsToExcel.py @@ -0,0 +1,25 @@ +from epyt import epanet + + + +G = epanet("net2-cl2.inp") +G.loadMSXFile("net2-cl2.msx") +MSX_comp = G.getMSXComputedQualityNode() +G.exportMSXts(MSX_comp, "net2") +G.exportMSXstatistics("net2","summarynet2") + + +G.exportMSXts( + MSX_comp, + output_file="chlorine_subset.xlsx", + selected_nodes=["10", "15"], + selected_species=["CL2"] + ) + + +G.exportMSXts( + MSX_comp, + output_file="chlorine_subset1.xlsx", + selected_nodes=[9, 14], + selected_species=[0] + ) \ No newline at end of file From 0a08845268016b77e4c68d02e5b0327e2cb27078 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 15 Jul 2025 12:32:00 +0300 Subject: [PATCH 150/183] Update README.md --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index 37ce91f..5452715 100644 --- a/README.md +++ b/README.md @@ -613,6 +613,8 @@ If you want to contribute, please check out our [Code of Conduct](https://github | setMSXNodeInitqualValue |Assigns an initial concentration of chemical species to nodes| | setMSXSources |Sets the attributes of an external source of a particular chemical species to a specific node of the pipe network| | useMSXHydraulicFile |Uses a previously saved EPANET hydraulics file as the source of hydraulic information| +| exportMSXts |Exports multi-species water-quality time-series results to an Excel workbook—one sheet per species| +| exportMSXstatistics |Summarizes min, max, and average values for each node in an Excel file| ## List of EPANET 2.2 Functions From c970dfae2ca67f9439a4e49b432c498d99cd7d34 Mon Sep 17 00:00:00 2001 From: Elad Salomons Date: Wed, 23 Jul 2025 16:07:28 +0300 Subject: [PATCH 151/183] Correct a typo One character commit.... --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index bd34879..2a4fbda 100644 --- a/README.md +++ b/README.md @@ -186,7 +186,7 @@ If you want to contribute, please check out our [Code of Conduct](https://github | getCMDCODE |Retrieves the CMC code| | getComputedHydraulicTimeSeries |Computes hydraulic simulation and retrieves all time-series | getComputedQualityTimeSeries |Computes Quality simulation and retrieves all or some time-series -| getComputedTimeSeries |Run analysis with binary fil +| getComputedTimeSeries |Run analysis with binary file | getConnectivityMatrix |Retrieve the Connectivity Matrix of the networ | getControlRulesCount |Retrieves the number of controls | getControls |Retrieves the parameters of all control statements From a2742d0b5ea28b826aa0fd1fed90c18e5125cc1d Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Mon, 15 Sep 2025 14:20:28 +0300 Subject: [PATCH 152/183] Update epanet.py --- epyt/epanet.py | 42 ------------------------------------------ 1 file changed, 42 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index a2f9ddd..e27e508 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -868,39 +868,6 @@ class epanet(error_handler): d = epanet(inpname, msx=True,customlib=epanetlib) """ - """ - def __getattribute__(self, function_id): - # Call the superclass's __getattribute__ to retrieve the attribute - attr = super().__getattribute__(function_id) - - if callable(attr) and not function_id.startswith("__") and not function_id.startswith("_") and not function_id.startswith("EN")\ - and not function_id.startswith("printv")and not function_id.startswith("MSX")and not function_id.startswith("test")and not function_id.startswith("load"): - # Create a _wrapper function to include additional actions - def _wrapper(*args, **kwargs): - result = attr(*args, **kwargs) # Call the actual function - - if hasattr(self, 'api') and self.api.errcode != 0 and function_id != "_logFunctionError" and function_id != "getError": - # Log function error by passing the function name - message = self.api.ENgeterror(self.api.errcode) - self._logFunctionError(function_id, message) - - # Capture the current stack to find where the function was called and where the error happened - tb_lines = traceback.extract_stack() - red_text = "\033[91m" - reset_text = "\033[0m" - - if len(tb_lines) >= 2: - # This is where the function was called from (main program) - caller_line = tb_lines[-2] - caller_output = f"{caller_line.filename}:{red_text}{caller_line.lineno}, line {caller_line.lineno}: {caller_line.line}{reset_text}" - print(f"{caller_output}") - - return result - - return _wrapper - - return attr - """ def __init__(self, *argv, version=2.2, ph=False, loadfile=False, customlib=None, display_msg=True, display_warnings=True): @@ -15580,15 +15547,6 @@ def getNodeInControl(self, *args): results.append(int(self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_NODE_INCONTROL))) return results - def _logFunctionError(self, nameofFunction, message): - """Notifies the user where the error is coming from with red text.""" - - # ANSI escape code for red text - red_text = "\033[91m" - reset_text = "\033[0m" - - print(f"{red_text}UserWarning: Error in function: {nameofFunction},{message}{reset_text}") - def _ErrorinChangingMetric(self, wanted, nameofFunction): "Checks if the metric change is not possible and suggest possbile solutions" red_text = "\033[91m" From 4b5d68830808a272039cd189f4c82f2d812b6313 Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Mon, 15 Sep 2025 14:38:59 +0300 Subject: [PATCH 153/183] Update epanet.py --- epyt/epanet.py | 168 +------------------------------------------------ 1 file changed, 1 insertion(+), 167 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index e27e508..1133b7e 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -506,7 +506,6 @@ def to_dict(self): def to_excel(self, filename=None, attributes=None, allValues=False, node_id_list=None, link_id_list=None, both=False, header=True): - """ Save to an Excel file the values of EpytValues class. @@ -557,95 +556,6 @@ def is_link_attribute(key): else: dictValss[i] = dictVals[i] dictVals = dictValss - # Define keywords for node and link data - node_keywords = ['nodequality', 'head', 'demand'] - link_keywords = ['linkquality', 'pressure', 'flow', 'velocity', 'headloss', 'Status', 'Setting', 'ReactionRate' - ,'StatusStr','FrictionFactor'] - - # Helper function to match whole words - def is_keyword_in_key(key_lower, keyword): - pattern = r'\b' + re.escape(keyword.lower()) + r'\b' - return re.search(pattern, key_lower) is not None - - with pd.ExcelWriter(filename, mode="w") as writer: - for key in dictVals: - if 'Time' not in key: - if not attributes or key in attributes: - #print(f"Processing key: {key}") - #print(f"Type of dictVals[key]: {type(dictVals[key])}") - #print(f"Content of dictVals[key]: {dictVals[key]}") - - data = dictVals[key] - - # Check if data is suitable for DataFrame creation - if isinstance(data, (list, np.ndarray, pd.Series, pd.DataFrame)): - df = pd.DataFrame(data) - else: - print(f"Skipping key '{key}' due to unsupported data type: {type(data)}") - continue # Skip processing this key - - header_labels = [] - - # Insert 'Id' column if Id is True - if Id: - num_rows = len(df) - id_values = [] - - # Check if epanet_instance is provided - if epanet_instance is not None: - # Convert key to lowercase for case-insensitive comparison - key_lower = key.lower() - - - if any(is_keyword_in_key(key_lower, kw) for kw in node_keywords) or 'node' in key_lower: - # Fetch node IDs - for i in range(num_rows): - id_value = epanet_instance.getNodeNameID(i + 1) - id_values.append(id_value) - elif any(is_keyword_in_key(key_lower, kw) for kw in - link_keywords) or 'link' in key_lower: - # Fetch link IDs - for i in range(num_rows): - id_value = epanet_instance.getLinkNameID(i + 1) - id_values.append(id_value) - else: - warnings.warn( - f"Cannot determine if '{key}' is for nodes or links based on provided keywords. 'Id' column will be left blank.") - - id_values = [''] * num_rows - else: - warnings.warn( - "epanet_instance must be provided when Id=True. 'Id' column will be left blank.") - - id_values = [''] * num_rows - - # Ensure the length of id_values matches the number of rows in df - if len(id_values) != num_rows: - warnings.warn( - "Length of Id values does not match number of rows in data. Adjusting id_values length.") - id_values = id_values[:num_rows] - - df.insert(0, 'Id', id_values) - header_labels.append('Id') - - # Insert 'Index' column if Index is True - if Index: - index_values = list(range(1, len(df) + 1)) - df.insert(0, "Index", index_values, True) - header_labels.insert(0, 'Index') - - # Append time labels to header labels - num_data_columns = df.shape[1] - len(header_labels) - if 'Time' in dictVals and len(dictVals['Time']) == num_data_columns: - header_labels.extend(dictVals['Time']) - else: - # Use default column names if Time labels are not available or mismatched - data_column_names = [f"Column{i + 1}" for i in range(num_data_columns)] - header_labels.extend(data_column_names) - - df.columns = header_labels - - df.to_excel(writer, sheet_name=key, index=False) def process_dataframe(key, df): header_labels = [] @@ -723,83 +633,6 @@ def process_dataframe(key, df): if allValues: worksheet_name = 'All values' first_iter = True - for key in dictVals: - if key != 'Time' and (not attributes or key in attributes): - data = dictVals[key] - - # Check if data is suitable for DataFrame creation - if isinstance(data, (list, np.ndarray, pd.Series, pd.DataFrame)): - df = pd.DataFrame(data) - else: - print(f"Skipping key '{key}' due to unsupported data type: {type(data)}") - continue # Skip processing this key - - header_labels = [] - - - if Id: - num_rows = len(df) - id_values = [] - - if epanet_instance is not None: - key_lower = key.lower() - - - if any(is_keyword_in_key(key_lower, kw) for kw in node_keywords) or 'node' in key_lower: - # Fetch node IDs - for i in range(num_rows): - id_value = epanet_instance.getNodeNameID(i + 1) - id_values.append(id_value) - elif any(is_keyword_in_key(key_lower, kw) for kw in - link_keywords) or 'link' in key_lower: - # Fetch link IDs - for i in range(num_rows): - id_value = epanet_instance.getLinkNameID(i + 1) - id_values.append(id_value) - else: - warnings.warn( - f"Cannot determine if '{key}' is for nodes or links based on provided keywords. 'Id' column will be left blank.") - # Create empty 'Id' column - id_values = [''] * num_rows - else: - warnings.warn( - "epanet_instance must be provided when Id=True. 'Id' column will be left blank.") - # Create empty 'Id' column - id_values = [''] * num_rows - - if len(id_values) != num_rows: - warnings.warn( - "Length of Id values does not match number of rows in data. Adjusting id_values length.") - id_values = id_values[:num_rows] - - df.insert(0, 'Id', id_values) - header_labels.append('Id') - - if Index: - index_values = list(range(1, len(df) + 1)) - df.insert(0, "Index", index_values, True) - header_labels.insert(0, 'Index') - - num_data_columns = df.shape[1] - len(header_labels) - if 'Time' in dictVals and len(dictVals['Time']) == num_data_columns: - header_labels.extend(dictVals['Time']) - else: - data_column_names = [f"Column{i + 1}" for i in range(num_data_columns)] - header_labels.extend(data_column_names) - - df.columns = header_labels - - if first_iter: - df.to_excel(writer, sheet_name='All values', index=False, startrow=1) - worksheet = writer.sheets['All values'] - worksheet.write(0, 0, key) - first_iter = False - else: - worksheet = writer.sheets['All values'] - startrow = worksheet.dim_rowmax + 3 - worksheet.write(startrow - 1, 0, key) - df.to_excel(writer, sheet_name='All values', index=False, startrow=startrow) - for key, data in dictVals.items(): if key == 'Time': continue @@ -812,6 +645,7 @@ def process_dataframe(key, df): df = pd.DataFrame(data) df = process_dataframe(key, df) + worksheet = writer.sheets.get(worksheet_name) if first_iter: df.to_excel(writer, sheet_name=worksheet_name, index=False, header=header, startrow=1) From a23dc8af442b00a3707c63765beb0c0839f4516a Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Mon, 15 Sep 2025 15:26:24 +0300 Subject: [PATCH 154/183] Create EX25_Leakage.py --- epyt/examples/python/EX25_Leakage.py | 74 ++++++++++++++++++++++++++++ 1 file changed, 74 insertions(+) create mode 100644 epyt/examples/python/EX25_Leakage.py diff --git a/epyt/examples/python/EX25_Leakage.py b/epyt/examples/python/EX25_Leakage.py new file mode 100644 index 0000000..5ede248 --- /dev/null +++ b/epyt/examples/python/EX25_Leakage.py @@ -0,0 +1,74 @@ +from epyt import epanet + +# Model + time settings + +d = epanet('ky10.inp') +TIME_H = 24 * 3600 # 24 hours +HYD_STEP = 15 * 60 # 15 min +PAT_STEP = 15 * 60 +RPT_STEP = 15 * 60 + +LINK_LEAK_AREA = 3e-7 +EMITTER_COEFF = 0.002 + +d.setTimeSimulationDuration(TIME_H) +d.setTimeHydraulicStep(HYD_STEP) +d.setTimePatternStep(PAT_STEP) +d.setTimeReportingStep(RPT_STEP) + +linkID = d.getLinkNameID(10) +pipe_ix = d.getLinkIndex(linkID) + +nodeID = d.getNodeNameID(10) +junc_ix = d.getNodeIndex(nodeID) + +# Apply leakage settings + +d.setLinkLeakArea(pipe_ix, LINK_LEAK_AREA) +d.setLinkExpansionProperties(pipe_ix, 0.5) # example elasticity coefficient + +d.setNodeEmitterCoeff(junc_ix, EMITTER_COEFF) + +p_unit = d.getOptionsPressureUnits() +q_unit = d.getFlowUnits() + +print(f"[Units] Flow={q_unit} | Pressure={p_unit} ") +print(f"[Params] LinkLeakArea={LINK_LEAK_AREA:g} m^2 | EmitterCoeff={EMITTER_COEFF:g}") + +# Run hydraulics + +d.openHydraulicAnalysis() +d.initializeHydraulicAnalysis() + +t = 0.0 +while True: + d.runHydraulicAnalysis() + + # Leakages + leak_pipe = d.getLinkLeakageRate(pipe_ix) + leak_node = d.getNodeLeakageFlow(junc_ix) + emitter = d.getNodeEmitterFlow(junc_ix) + + # Demand + dem_req = d.getConsumerDemandRequested(junc_ix) + dem_del = d.getConsumerDemandDelivered(junc_ix) + + # Optional diagnostics + Pj = d.getNodePressure(junc_ix) + + total_out = max(dem_del + leak_pipe + leak_node + emitter, 1e-12) + leak_share = 100.0 * (leak_pipe + leak_node + emitter) / total_out + + print( + f"t={t:5.0f}s | P={Pj:7.3f} {p_unit:>3} | " + f"PipeLeak={leak_pipe:9.4f} | NodeLeak={leak_node:9.4f} | Emitter={emitter:8.4f} | " + f"DemReq={dem_req:8.3f} | DemDel={dem_del:8.3f} | LeakShare={leak_share:5.1f}%" + ) + + dt = d.nextHydraulicAnalysisStep() + if dt <= 0: + break + t += dt + +d.closeHydraulicAnalysis() +d.unload() \ No newline at end of file From 30311609ef3fdc871b97a696d7b80664848de77c Mon Sep 17 00:00:00 2001 From: ichrys03 <79056704+ichrys03@users.noreply.github.com> Date: Tue, 16 Sep 2025 10:25:16 +0300 Subject: [PATCH 155/183] rename --- epyt/examples/python/{EX25_Leakage.py => EX28_Leakage.py} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename epyt/examples/python/{EX25_Leakage.py => EX28_Leakage.py} (100%) diff --git a/epyt/examples/python/EX25_Leakage.py b/epyt/examples/python/EX28_Leakage.py similarity index 100% rename from epyt/examples/python/EX25_Leakage.py rename to epyt/examples/python/EX28_Leakage.py From 40bd318011f9249bb53e7ee5e5dc5fafe359c890 Mon Sep 17 00:00:00 2001 From: "Marios S. Kyriakou" Date: Tue, 16 Sep 2025 13:39:20 +0300 Subject: [PATCH 156/183] mv this file under tests --- .../testFunctions_2_3.py} | 16 +++++++--------- 1 file changed, 7 insertions(+), 9 deletions(-) rename epyt/{examples/python/EX_NewFunctions_2_3_EPANET.py => tests/testFunctions_2_3.py} (93%) diff --git a/epyt/examples/python/EX_NewFunctions_2_3_EPANET.py b/epyt/tests/testFunctions_2_3.py similarity index 93% rename from epyt/examples/python/EX_NewFunctions_2_3_EPANET.py rename to epyt/tests/testFunctions_2_3.py index 39f1f1c..169c918 100644 --- a/epyt/examples/python/EX_NewFunctions_2_3_EPANET.py +++ b/epyt/tests/testFunctions_2_3.py @@ -1,17 +1,15 @@ -from epyt import epanet - -# inpfile = "Richmond_standard.inp" +""" +EPANET Python Toolkit (EPyT) Test Part 5 +This file is provided to ensure that all functions can be executed correctly. +Step-by-step execution. You may also use breakpoints. +""" -# #Warning that a link is missing and the network is not fully connected -# inpfile = "BrokenNetwork.inp" -# d = epanet(inpfile) -# d.unload() +from epyt import epanet inpfile = "Net1.inp" d = epanet(inpfile) +# Setcurve -# d.getNodeNameID('dakjsdfhjksdfhsd') -# setcurvetype functions d.setCurveTypePump(1) d.printv(d.getCurveType(1)) d.setCurveTypeVolume(1) From 6b76fdfcff1cb26f5c419fd4498bc1d28d42352a Mon Sep 17 00:00:00 2001 From: "Marios S. Kyriakou" Date: Tue, 23 Sep 2025 13:17:56 +0300 Subject: [PATCH 157/183] relocate examples folder to project root --- epyt/examples/python/desktop.ini | 29 ------------------ {epyt/examples => examples}/README.md | 0 {epyt/examples => examples}/__init__.py | 0 .../EX10_close_pipes_during_sim.ipynb | 0 .../EX11_assing_new_curve_pump.ipynb | 0 .../notebooks/EX12_add_cvpipe.ipynb | 0 .../EX13_hydraulic_and_quality_analysis.ipynb | 0 .../EX14_create_multiple_scenarios.ipynb | 0 ...X15_add_multiple_controls_pipestatus.ipynb | 0 .../notebooks/EX16_change_status_pipes.ipynb | 0 .../notebooks/EX17a_external_controls.ipynb | 0 .../notebooks/EX17b_external_controls.ipynb | 0 ...EX18_Pressure_driven_analysis_option.ipynb | 0 .../EX19_Overflow_option_for_tanks.ipynb | 0 .../notebooks/EX1_Plot_network_topology.ipynb | 0 .../EX20_Change_connection_links.ipynb | 0 .../notebooks/EX21_set_node_name_ids.ipynb | 0 .../notebooks/EX2_Hydraulic_analysis.ipynb | 0 .../notebooks/EX3_Quality_analysis.ipynb | 0 .../notebooks/EX4_Plot_time_series.ipynb | 0 .../EX5_Plot_values_parameters.ipynb | 0 .../notebooks/EX6_load_two_inp_files.ipynb | 0 .../notebooks/EX7_Set_Pump_Curves.ipynb | 0 .../notebooks/EX9_compare_simulations.ipynb | 0 .../notebooks/Net1_pressures.gif | Bin .../notebooks/Plt_EX1_Create_Flow_gif.ipynb | 0 .../Plt_EX2_Create_Pressure_gif.ipynb | 0 .../notebooks/TESTING.inp | 0 .../notebooks/TESTING.txt | 0 .../Toolkit_EX2_Hydrant_rating_curve.ipynb | 0 ...oolkit_EX3_Minimum_chlorine_residual.ipynb | 0 .../Toolkit_EX4_Network_Building.ipynb | 0 .../Toolkit_api_EX1_using_EN_functions.ipynb | 0 .../notebooks/example2.inp | 0 .../notebooks/net1_overflow.inp | 0 .../python/EX10_close_pipes_during_sim.py | 0 .../python/EX11_assing_new_curve_pump.py | 0 .../python/EX12_add_cvpipe.py | 0 .../EX13_hydraulic_and_quality_analysis.py | 0 .../python/EX14_create_multiple_scenarios.py | 0 .../python/EX14_write_msx_file.py | 0 .../EX15_add_multiple_controls_pipestatus.py | 0 .../python/EX16_change_status_pipes.py | 0 .../python/EX17a_external_controls.py | 0 .../python/EX17b_external_controls.py | 0 .../EX18_Pressure_driven_analysis_option.py | 0 .../python/EX19_Overflow_option_for_tanks.py | 0 .../python/EX1_Plot_network_topology.py | 0 .../python/EX20_Change_connection_links.py | 0 .../python/EX21_set_node_name_ids.py | 0 .../python/EX24_Parallel_Computations.py | 0 .../python/EX28_Leakage.py | 0 .../python/EX2_Hydraulic_analysis.py | 0 .../python/EX3_Quality_analysis.py | 0 .../python/EX4_Plot_time_series.py | 0 .../python/EX5_Plot_values_parameters.py | 0 .../python/EX6_load_two_inp_files.py | 0 .../python/EX7_Set_Pump_Curves.py | 0 .../python/EX9_compare_simulations.py | 0 .../python/EX_MSX_Options.py | 0 ...e_example_getLinkFlows_vs_getLinkValues.py | 0 .../python/EX_to_excel_json.py | 0 .../python/ExampleMSXStatisticsToExcel.py | 0 .../python/Net1_pressures.gif | Bin .../python/Plt_EX1_Create_Flow_gif.py | 0 .../python/Plt_EX2_Create_Pressure_gif.py | 0 .../examples => examples}/python/TESTING.inp | 0 .../Toolkit_EX2_Hydrant_rating_curve.py | 0 .../Toolkit_EX3_Minimum_chlorine_residual.py | 0 .../python/Toolkit_EX4_Network_Building.py | 0 .../Toolkit_api_EX1_using_EN_functions.py | 0 .../Toolkit_api_EX2_using_MSX_functions.py | 0 .../examples => examples}/python/example2.inp | 0 .../python/net1_overflow.inp | 0 74 files changed, 29 deletions(-) delete mode 100644 epyt/examples/python/desktop.ini rename {epyt/examples => examples}/README.md (100%) rename {epyt/examples => examples}/__init__.py (100%) rename {epyt/examples => examples}/notebooks/EX10_close_pipes_during_sim.ipynb (100%) rename {epyt/examples => examples}/notebooks/EX11_assing_new_curve_pump.ipynb (100%) rename {epyt/examples => examples}/notebooks/EX12_add_cvpipe.ipynb (100%) rename {epyt/examples => examples}/notebooks/EX13_hydraulic_and_quality_analysis.ipynb (100%) rename {epyt/examples => examples}/notebooks/EX14_create_multiple_scenarios.ipynb (100%) rename {epyt/examples => examples}/notebooks/EX15_add_multiple_controls_pipestatus.ipynb (100%) rename {epyt/examples => examples}/notebooks/EX16_change_status_pipes.ipynb (100%) rename {epyt/examples => examples}/notebooks/EX17a_external_controls.ipynb (100%) rename {epyt/examples => examples}/notebooks/EX17b_external_controls.ipynb (100%) rename {epyt/examples => examples}/notebooks/EX18_Pressure_driven_analysis_option.ipynb (100%) rename {epyt/examples => examples}/notebooks/EX19_Overflow_option_for_tanks.ipynb (100%) rename {epyt/examples => examples}/notebooks/EX1_Plot_network_topology.ipynb (100%) rename {epyt/examples => examples}/notebooks/EX20_Change_connection_links.ipynb (100%) rename {epyt/examples => examples}/notebooks/EX21_set_node_name_ids.ipynb (100%) rename {epyt/examples => examples}/notebooks/EX2_Hydraulic_analysis.ipynb (100%) rename {epyt/examples => examples}/notebooks/EX3_Quality_analysis.ipynb (100%) rename {epyt/examples => examples}/notebooks/EX4_Plot_time_series.ipynb (100%) rename {epyt/examples => examples}/notebooks/EX5_Plot_values_parameters.ipynb (100%) rename {epyt/examples => examples}/notebooks/EX6_load_two_inp_files.ipynb (100%) rename {epyt/examples => examples}/notebooks/EX7_Set_Pump_Curves.ipynb (100%) rename {epyt/examples => examples}/notebooks/EX9_compare_simulations.ipynb (100%) rename {epyt/examples => examples}/notebooks/Net1_pressures.gif (100%) rename {epyt/examples => examples}/notebooks/Plt_EX1_Create_Flow_gif.ipynb (100%) rename {epyt/examples => examples}/notebooks/Plt_EX2_Create_Pressure_gif.ipynb (100%) rename {epyt/examples => examples}/notebooks/TESTING.inp (100%) rename {epyt/examples => examples}/notebooks/TESTING.txt (100%) rename {epyt/examples => examples}/notebooks/Toolkit_EX2_Hydrant_rating_curve.ipynb (100%) rename {epyt/examples => examples}/notebooks/Toolkit_EX3_Minimum_chlorine_residual.ipynb (100%) rename {epyt/examples => examples}/notebooks/Toolkit_EX4_Network_Building.ipynb (100%) rename {epyt/examples => examples}/notebooks/Toolkit_api_EX1_using_EN_functions.ipynb (100%) rename {epyt/examples => examples}/notebooks/example2.inp (100%) rename {epyt/examples => examples}/notebooks/net1_overflow.inp (100%) rename {epyt/examples => examples}/python/EX10_close_pipes_during_sim.py (100%) rename {epyt/examples => examples}/python/EX11_assing_new_curve_pump.py (100%) rename {epyt/examples => examples}/python/EX12_add_cvpipe.py (100%) rename {epyt/examples => examples}/python/EX13_hydraulic_and_quality_analysis.py (100%) rename {epyt/examples => examples}/python/EX14_create_multiple_scenarios.py (100%) rename {epyt/examples => examples}/python/EX14_write_msx_file.py (100%) rename {epyt/examples => examples}/python/EX15_add_multiple_controls_pipestatus.py (100%) rename {epyt/examples => examples}/python/EX16_change_status_pipes.py (100%) rename {epyt/examples => examples}/python/EX17a_external_controls.py (100%) rename {epyt/examples => examples}/python/EX17b_external_controls.py (100%) rename {epyt/examples => examples}/python/EX18_Pressure_driven_analysis_option.py (100%) rename {epyt/examples => examples}/python/EX19_Overflow_option_for_tanks.py (100%) rename {epyt/examples => examples}/python/EX1_Plot_network_topology.py (100%) rename {epyt/examples => examples}/python/EX20_Change_connection_links.py (100%) rename {epyt/examples => examples}/python/EX21_set_node_name_ids.py (100%) rename {epyt/examples => examples}/python/EX24_Parallel_Computations.py (100%) rename {epyt/examples => examples}/python/EX28_Leakage.py (100%) rename {epyt/examples => examples}/python/EX2_Hydraulic_analysis.py (100%) rename {epyt/examples => examples}/python/EX3_Quality_analysis.py (100%) rename {epyt/examples => examples}/python/EX4_Plot_time_series.py (100%) rename {epyt/examples => examples}/python/EX5_Plot_values_parameters.py (100%) rename {epyt/examples => examples}/python/EX6_load_two_inp_files.py (100%) rename {epyt/examples => examples}/python/EX7_Set_Pump_Curves.py (100%) rename {epyt/examples => examples}/python/EX9_compare_simulations.py (100%) rename {epyt/examples => examples}/python/EX_MSX_Options.py (100%) rename {epyt/examples => examples}/python/EX_performance_example_getLinkFlows_vs_getLinkValues.py (100%) rename {epyt/examples => examples}/python/EX_to_excel_json.py (100%) rename {epyt/examples => examples}/python/ExampleMSXStatisticsToExcel.py (100%) rename {epyt/examples => examples}/python/Net1_pressures.gif (100%) rename {epyt/examples => examples}/python/Plt_EX1_Create_Flow_gif.py (100%) rename {epyt/examples => examples}/python/Plt_EX2_Create_Pressure_gif.py (100%) rename {epyt/examples => examples}/python/TESTING.inp (100%) rename {epyt/examples => examples}/python/Toolkit_EX2_Hydrant_rating_curve.py (100%) rename {epyt/examples => examples}/python/Toolkit_EX3_Minimum_chlorine_residual.py (100%) rename {epyt/examples => examples}/python/Toolkit_EX4_Network_Building.py (100%) rename {epyt/examples => examples}/python/Toolkit_api_EX1_using_EN_functions.py (100%) rename {epyt/examples => examples}/python/Toolkit_api_EX2_using_MSX_functions.py (100%) rename {epyt/examples => examples}/python/example2.inp (100%) rename {epyt/examples => examples}/python/net1_overflow.inp (100%) diff --git a/epyt/examples/python/desktop.ini b/epyt/examples/python/desktop.ini deleted file mode 100644 index 4ceeeb6..0000000 --- a/epyt/examples/python/desktop.ini +++ /dev/null @@ -1,29 +0,0 @@ -[LocalizedFileNames] -Toolkit_EX3_Minimum_chlorine_residual.py=@Toolkit_EX3_Minimum_chlorine_residual.py,0 -Plt_EX2_Create_Pressure_gif.py=@Plt_EX2_Create_Pressure_gif.py,0 -Plt_EX1_Create_Flow_gif.py=@Plt_EX1_Create_Flow_gif.py,0 -EX25_set_node_name_ids.py=@EX25_set_node_name_ids.py,0 -EX20b_external_controls.py=@EX20b_external_controls.py,0 -EX17b_add_multiple_controls_pipestatus.py=@EX17b_add_multiple_controls_pipestatus.py,0 -EX5_Plot_values_parameters.py=@EX5_Plot_values_parameters.py,0 -EX10_close_pipes_during_sim.py=@EX10_close_pipes_during_sim.py,0 -EX4_Plot_time_series.py=@EX4_Plot_time_series.py,0 -Toolkit_EX2_Hydrant_rating_curve.py=@Toolkit_EX2_Hydrant_rating_curve.py,0 -EX7_Set_Pump_Curves.py=@EX7_Set_Pump_Curves.py,0 -EX14_hydraulic_and_quality_analysis.py=@EX14_hydraulic_and_quality_analysis.py,0 -EX6_load_two_inp_files.py=@EX6_load_two_inp_files.py,0 -EX13c_add_cvpipe.py=@EX13c_add_cvpipe.py,0 -EX3_Quality_analysis.py=@EX3_Quality_analysis.py,0 -Toolkit_EX4_Network_Building.py=@Toolkit_EX4_Network_Building.py,0 -EX_to_excel_json.py=@EX_to_excel_json.py,0 -EX1_Plot_network_topology.py=@EX1_Plot_network_topology.py,0 -EX2_Hydraulic_analysis.py=@EX2_Hydraulic_analysis.py,0 -EX9_compare_simulations.py=@EX9_compare_simulations.py,0 -EX11_assing_new_curve_pump.py=@EX11_assing_new_curve_pump.py,0 -EX16_create_multiple_scenarios.py=@EX16_create_multiple_scenarios.py,0 -EX18_change_status_pipes.py=@EX18_change_status_pipes.py,0 -EX20a_external_controls.py=@EX20a_external_controls.py,0 -EX21_Pressure_driven_analysis_option.py=@EX21_Pressure_driven_analysis_option.py,0 -EX22_Overflow_option_for_tanks.py=@EX22_Overflow_option_for_tanks.py,0 -EX23_Change_connection_links.py=@EX23_Change_connection_links.py,0 -Toolkit_api_EX1_using_EN_functions.py=@Toolkit_api_EX1_using_EN_functions.py,0 diff --git a/epyt/examples/README.md b/examples/README.md similarity index 100% rename from epyt/examples/README.md rename to examples/README.md diff --git a/epyt/examples/__init__.py b/examples/__init__.py similarity index 100% rename from epyt/examples/__init__.py rename to examples/__init__.py diff --git a/epyt/examples/notebooks/EX10_close_pipes_during_sim.ipynb b/examples/notebooks/EX10_close_pipes_during_sim.ipynb similarity index 100% rename from epyt/examples/notebooks/EX10_close_pipes_during_sim.ipynb rename to examples/notebooks/EX10_close_pipes_during_sim.ipynb diff --git a/epyt/examples/notebooks/EX11_assing_new_curve_pump.ipynb b/examples/notebooks/EX11_assing_new_curve_pump.ipynb similarity index 100% rename from epyt/examples/notebooks/EX11_assing_new_curve_pump.ipynb rename to examples/notebooks/EX11_assing_new_curve_pump.ipynb diff --git a/epyt/examples/notebooks/EX12_add_cvpipe.ipynb b/examples/notebooks/EX12_add_cvpipe.ipynb similarity index 100% rename from epyt/examples/notebooks/EX12_add_cvpipe.ipynb rename to examples/notebooks/EX12_add_cvpipe.ipynb diff --git a/epyt/examples/notebooks/EX13_hydraulic_and_quality_analysis.ipynb b/examples/notebooks/EX13_hydraulic_and_quality_analysis.ipynb similarity index 100% rename from epyt/examples/notebooks/EX13_hydraulic_and_quality_analysis.ipynb rename to examples/notebooks/EX13_hydraulic_and_quality_analysis.ipynb diff --git a/epyt/examples/notebooks/EX14_create_multiple_scenarios.ipynb b/examples/notebooks/EX14_create_multiple_scenarios.ipynb similarity index 100% rename from epyt/examples/notebooks/EX14_create_multiple_scenarios.ipynb rename to examples/notebooks/EX14_create_multiple_scenarios.ipynb diff --git a/epyt/examples/notebooks/EX15_add_multiple_controls_pipestatus.ipynb b/examples/notebooks/EX15_add_multiple_controls_pipestatus.ipynb similarity index 100% rename from epyt/examples/notebooks/EX15_add_multiple_controls_pipestatus.ipynb rename to examples/notebooks/EX15_add_multiple_controls_pipestatus.ipynb diff --git a/epyt/examples/notebooks/EX16_change_status_pipes.ipynb b/examples/notebooks/EX16_change_status_pipes.ipynb similarity index 100% rename from epyt/examples/notebooks/EX16_change_status_pipes.ipynb rename to examples/notebooks/EX16_change_status_pipes.ipynb diff --git a/epyt/examples/notebooks/EX17a_external_controls.ipynb b/examples/notebooks/EX17a_external_controls.ipynb similarity index 100% rename from epyt/examples/notebooks/EX17a_external_controls.ipynb rename to examples/notebooks/EX17a_external_controls.ipynb diff --git a/epyt/examples/notebooks/EX17b_external_controls.ipynb b/examples/notebooks/EX17b_external_controls.ipynb similarity index 100% rename from epyt/examples/notebooks/EX17b_external_controls.ipynb rename to examples/notebooks/EX17b_external_controls.ipynb diff --git a/epyt/examples/notebooks/EX18_Pressure_driven_analysis_option.ipynb b/examples/notebooks/EX18_Pressure_driven_analysis_option.ipynb similarity index 100% rename from epyt/examples/notebooks/EX18_Pressure_driven_analysis_option.ipynb rename to examples/notebooks/EX18_Pressure_driven_analysis_option.ipynb diff --git a/epyt/examples/notebooks/EX19_Overflow_option_for_tanks.ipynb b/examples/notebooks/EX19_Overflow_option_for_tanks.ipynb similarity index 100% rename from epyt/examples/notebooks/EX19_Overflow_option_for_tanks.ipynb rename to examples/notebooks/EX19_Overflow_option_for_tanks.ipynb diff --git a/epyt/examples/notebooks/EX1_Plot_network_topology.ipynb b/examples/notebooks/EX1_Plot_network_topology.ipynb similarity index 100% rename from epyt/examples/notebooks/EX1_Plot_network_topology.ipynb rename to examples/notebooks/EX1_Plot_network_topology.ipynb diff --git a/epyt/examples/notebooks/EX20_Change_connection_links.ipynb b/examples/notebooks/EX20_Change_connection_links.ipynb similarity index 100% rename from epyt/examples/notebooks/EX20_Change_connection_links.ipynb rename to examples/notebooks/EX20_Change_connection_links.ipynb diff --git a/epyt/examples/notebooks/EX21_set_node_name_ids.ipynb b/examples/notebooks/EX21_set_node_name_ids.ipynb similarity index 100% rename from epyt/examples/notebooks/EX21_set_node_name_ids.ipynb rename to examples/notebooks/EX21_set_node_name_ids.ipynb diff --git a/epyt/examples/notebooks/EX2_Hydraulic_analysis.ipynb b/examples/notebooks/EX2_Hydraulic_analysis.ipynb similarity index 100% rename from epyt/examples/notebooks/EX2_Hydraulic_analysis.ipynb rename to examples/notebooks/EX2_Hydraulic_analysis.ipynb diff --git a/epyt/examples/notebooks/EX3_Quality_analysis.ipynb b/examples/notebooks/EX3_Quality_analysis.ipynb similarity index 100% rename from epyt/examples/notebooks/EX3_Quality_analysis.ipynb rename to examples/notebooks/EX3_Quality_analysis.ipynb diff --git a/epyt/examples/notebooks/EX4_Plot_time_series.ipynb b/examples/notebooks/EX4_Plot_time_series.ipynb similarity index 100% rename from epyt/examples/notebooks/EX4_Plot_time_series.ipynb rename to examples/notebooks/EX4_Plot_time_series.ipynb diff --git a/epyt/examples/notebooks/EX5_Plot_values_parameters.ipynb b/examples/notebooks/EX5_Plot_values_parameters.ipynb similarity index 100% rename from epyt/examples/notebooks/EX5_Plot_values_parameters.ipynb rename to examples/notebooks/EX5_Plot_values_parameters.ipynb diff --git a/epyt/examples/notebooks/EX6_load_two_inp_files.ipynb b/examples/notebooks/EX6_load_two_inp_files.ipynb similarity index 100% rename from epyt/examples/notebooks/EX6_load_two_inp_files.ipynb rename to examples/notebooks/EX6_load_two_inp_files.ipynb diff --git a/epyt/examples/notebooks/EX7_Set_Pump_Curves.ipynb b/examples/notebooks/EX7_Set_Pump_Curves.ipynb similarity index 100% rename from epyt/examples/notebooks/EX7_Set_Pump_Curves.ipynb rename to examples/notebooks/EX7_Set_Pump_Curves.ipynb diff --git a/epyt/examples/notebooks/EX9_compare_simulations.ipynb b/examples/notebooks/EX9_compare_simulations.ipynb similarity index 100% rename from epyt/examples/notebooks/EX9_compare_simulations.ipynb rename to examples/notebooks/EX9_compare_simulations.ipynb diff --git a/epyt/examples/notebooks/Net1_pressures.gif b/examples/notebooks/Net1_pressures.gif similarity index 100% rename from epyt/examples/notebooks/Net1_pressures.gif rename to examples/notebooks/Net1_pressures.gif diff --git a/epyt/examples/notebooks/Plt_EX1_Create_Flow_gif.ipynb b/examples/notebooks/Plt_EX1_Create_Flow_gif.ipynb similarity index 100% rename from epyt/examples/notebooks/Plt_EX1_Create_Flow_gif.ipynb rename to examples/notebooks/Plt_EX1_Create_Flow_gif.ipynb diff --git a/epyt/examples/notebooks/Plt_EX2_Create_Pressure_gif.ipynb b/examples/notebooks/Plt_EX2_Create_Pressure_gif.ipynb similarity index 100% rename from epyt/examples/notebooks/Plt_EX2_Create_Pressure_gif.ipynb rename to examples/notebooks/Plt_EX2_Create_Pressure_gif.ipynb diff --git a/epyt/examples/notebooks/TESTING.inp b/examples/notebooks/TESTING.inp similarity index 100% rename from epyt/examples/notebooks/TESTING.inp rename to examples/notebooks/TESTING.inp diff --git a/epyt/examples/notebooks/TESTING.txt b/examples/notebooks/TESTING.txt similarity index 100% rename from epyt/examples/notebooks/TESTING.txt rename to examples/notebooks/TESTING.txt diff --git a/epyt/examples/notebooks/Toolkit_EX2_Hydrant_rating_curve.ipynb b/examples/notebooks/Toolkit_EX2_Hydrant_rating_curve.ipynb similarity index 100% rename from epyt/examples/notebooks/Toolkit_EX2_Hydrant_rating_curve.ipynb rename to examples/notebooks/Toolkit_EX2_Hydrant_rating_curve.ipynb diff --git a/epyt/examples/notebooks/Toolkit_EX3_Minimum_chlorine_residual.ipynb b/examples/notebooks/Toolkit_EX3_Minimum_chlorine_residual.ipynb similarity index 100% rename from epyt/examples/notebooks/Toolkit_EX3_Minimum_chlorine_residual.ipynb rename to examples/notebooks/Toolkit_EX3_Minimum_chlorine_residual.ipynb diff --git a/epyt/examples/notebooks/Toolkit_EX4_Network_Building.ipynb b/examples/notebooks/Toolkit_EX4_Network_Building.ipynb similarity index 100% rename from epyt/examples/notebooks/Toolkit_EX4_Network_Building.ipynb rename to examples/notebooks/Toolkit_EX4_Network_Building.ipynb diff --git a/epyt/examples/notebooks/Toolkit_api_EX1_using_EN_functions.ipynb b/examples/notebooks/Toolkit_api_EX1_using_EN_functions.ipynb similarity index 100% rename from epyt/examples/notebooks/Toolkit_api_EX1_using_EN_functions.ipynb rename to examples/notebooks/Toolkit_api_EX1_using_EN_functions.ipynb diff --git a/epyt/examples/notebooks/example2.inp b/examples/notebooks/example2.inp similarity index 100% rename from epyt/examples/notebooks/example2.inp rename to examples/notebooks/example2.inp diff --git a/epyt/examples/notebooks/net1_overflow.inp b/examples/notebooks/net1_overflow.inp similarity index 100% rename from epyt/examples/notebooks/net1_overflow.inp rename to examples/notebooks/net1_overflow.inp diff --git a/epyt/examples/python/EX10_close_pipes_during_sim.py b/examples/python/EX10_close_pipes_during_sim.py similarity index 100% rename from epyt/examples/python/EX10_close_pipes_during_sim.py rename to examples/python/EX10_close_pipes_during_sim.py diff --git a/epyt/examples/python/EX11_assing_new_curve_pump.py b/examples/python/EX11_assing_new_curve_pump.py similarity index 100% rename from epyt/examples/python/EX11_assing_new_curve_pump.py rename to examples/python/EX11_assing_new_curve_pump.py diff --git a/epyt/examples/python/EX12_add_cvpipe.py b/examples/python/EX12_add_cvpipe.py similarity index 100% rename from epyt/examples/python/EX12_add_cvpipe.py rename to examples/python/EX12_add_cvpipe.py diff --git a/epyt/examples/python/EX13_hydraulic_and_quality_analysis.py b/examples/python/EX13_hydraulic_and_quality_analysis.py similarity index 100% rename from epyt/examples/python/EX13_hydraulic_and_quality_analysis.py rename to examples/python/EX13_hydraulic_and_quality_analysis.py diff --git a/epyt/examples/python/EX14_create_multiple_scenarios.py b/examples/python/EX14_create_multiple_scenarios.py similarity index 100% rename from epyt/examples/python/EX14_create_multiple_scenarios.py rename to examples/python/EX14_create_multiple_scenarios.py diff --git a/epyt/examples/python/EX14_write_msx_file.py b/examples/python/EX14_write_msx_file.py similarity index 100% rename from epyt/examples/python/EX14_write_msx_file.py rename to examples/python/EX14_write_msx_file.py diff --git a/epyt/examples/python/EX15_add_multiple_controls_pipestatus.py b/examples/python/EX15_add_multiple_controls_pipestatus.py similarity index 100% rename from epyt/examples/python/EX15_add_multiple_controls_pipestatus.py rename to examples/python/EX15_add_multiple_controls_pipestatus.py diff --git a/epyt/examples/python/EX16_change_status_pipes.py b/examples/python/EX16_change_status_pipes.py similarity index 100% rename from epyt/examples/python/EX16_change_status_pipes.py rename to examples/python/EX16_change_status_pipes.py diff --git a/epyt/examples/python/EX17a_external_controls.py b/examples/python/EX17a_external_controls.py similarity index 100% rename from epyt/examples/python/EX17a_external_controls.py rename to examples/python/EX17a_external_controls.py diff --git a/epyt/examples/python/EX17b_external_controls.py b/examples/python/EX17b_external_controls.py similarity index 100% rename from epyt/examples/python/EX17b_external_controls.py rename to examples/python/EX17b_external_controls.py diff --git a/epyt/examples/python/EX18_Pressure_driven_analysis_option.py b/examples/python/EX18_Pressure_driven_analysis_option.py similarity index 100% rename from epyt/examples/python/EX18_Pressure_driven_analysis_option.py rename to examples/python/EX18_Pressure_driven_analysis_option.py diff --git a/epyt/examples/python/EX19_Overflow_option_for_tanks.py b/examples/python/EX19_Overflow_option_for_tanks.py similarity index 100% rename from epyt/examples/python/EX19_Overflow_option_for_tanks.py rename to examples/python/EX19_Overflow_option_for_tanks.py diff --git a/epyt/examples/python/EX1_Plot_network_topology.py b/examples/python/EX1_Plot_network_topology.py similarity index 100% rename from epyt/examples/python/EX1_Plot_network_topology.py rename to examples/python/EX1_Plot_network_topology.py diff --git a/epyt/examples/python/EX20_Change_connection_links.py b/examples/python/EX20_Change_connection_links.py similarity index 100% rename from epyt/examples/python/EX20_Change_connection_links.py rename to examples/python/EX20_Change_connection_links.py diff --git a/epyt/examples/python/EX21_set_node_name_ids.py b/examples/python/EX21_set_node_name_ids.py similarity index 100% rename from epyt/examples/python/EX21_set_node_name_ids.py rename to examples/python/EX21_set_node_name_ids.py diff --git a/epyt/examples/python/EX24_Parallel_Computations.py b/examples/python/EX24_Parallel_Computations.py similarity index 100% rename from epyt/examples/python/EX24_Parallel_Computations.py rename to examples/python/EX24_Parallel_Computations.py diff --git a/epyt/examples/python/EX28_Leakage.py b/examples/python/EX28_Leakage.py similarity index 100% rename from epyt/examples/python/EX28_Leakage.py rename to examples/python/EX28_Leakage.py diff --git a/epyt/examples/python/EX2_Hydraulic_analysis.py b/examples/python/EX2_Hydraulic_analysis.py similarity index 100% rename from epyt/examples/python/EX2_Hydraulic_analysis.py rename to examples/python/EX2_Hydraulic_analysis.py diff --git a/epyt/examples/python/EX3_Quality_analysis.py b/examples/python/EX3_Quality_analysis.py similarity index 100% rename from epyt/examples/python/EX3_Quality_analysis.py rename to examples/python/EX3_Quality_analysis.py diff --git a/epyt/examples/python/EX4_Plot_time_series.py b/examples/python/EX4_Plot_time_series.py similarity index 100% rename from epyt/examples/python/EX4_Plot_time_series.py rename to examples/python/EX4_Plot_time_series.py diff --git a/epyt/examples/python/EX5_Plot_values_parameters.py b/examples/python/EX5_Plot_values_parameters.py similarity index 100% rename from epyt/examples/python/EX5_Plot_values_parameters.py rename to examples/python/EX5_Plot_values_parameters.py diff --git a/epyt/examples/python/EX6_load_two_inp_files.py b/examples/python/EX6_load_two_inp_files.py similarity index 100% rename from epyt/examples/python/EX6_load_two_inp_files.py rename to examples/python/EX6_load_two_inp_files.py diff --git a/epyt/examples/python/EX7_Set_Pump_Curves.py b/examples/python/EX7_Set_Pump_Curves.py similarity index 100% rename from epyt/examples/python/EX7_Set_Pump_Curves.py rename to examples/python/EX7_Set_Pump_Curves.py diff --git a/epyt/examples/python/EX9_compare_simulations.py b/examples/python/EX9_compare_simulations.py similarity index 100% rename from epyt/examples/python/EX9_compare_simulations.py rename to examples/python/EX9_compare_simulations.py diff --git a/epyt/examples/python/EX_MSX_Options.py b/examples/python/EX_MSX_Options.py similarity index 100% rename from epyt/examples/python/EX_MSX_Options.py rename to examples/python/EX_MSX_Options.py diff --git a/epyt/examples/python/EX_performance_example_getLinkFlows_vs_getLinkValues.py b/examples/python/EX_performance_example_getLinkFlows_vs_getLinkValues.py similarity index 100% rename from epyt/examples/python/EX_performance_example_getLinkFlows_vs_getLinkValues.py rename to examples/python/EX_performance_example_getLinkFlows_vs_getLinkValues.py diff --git a/epyt/examples/python/EX_to_excel_json.py b/examples/python/EX_to_excel_json.py similarity index 100% rename from epyt/examples/python/EX_to_excel_json.py rename to examples/python/EX_to_excel_json.py diff --git a/epyt/examples/python/ExampleMSXStatisticsToExcel.py b/examples/python/ExampleMSXStatisticsToExcel.py similarity index 100% rename from epyt/examples/python/ExampleMSXStatisticsToExcel.py rename to examples/python/ExampleMSXStatisticsToExcel.py diff --git a/epyt/examples/python/Net1_pressures.gif b/examples/python/Net1_pressures.gif similarity index 100% rename from epyt/examples/python/Net1_pressures.gif rename to examples/python/Net1_pressures.gif diff --git a/epyt/examples/python/Plt_EX1_Create_Flow_gif.py b/examples/python/Plt_EX1_Create_Flow_gif.py similarity index 100% rename from epyt/examples/python/Plt_EX1_Create_Flow_gif.py rename to examples/python/Plt_EX1_Create_Flow_gif.py diff --git a/epyt/examples/python/Plt_EX2_Create_Pressure_gif.py b/examples/python/Plt_EX2_Create_Pressure_gif.py similarity index 100% rename from epyt/examples/python/Plt_EX2_Create_Pressure_gif.py rename to examples/python/Plt_EX2_Create_Pressure_gif.py diff --git a/epyt/examples/python/TESTING.inp b/examples/python/TESTING.inp similarity index 100% rename from epyt/examples/python/TESTING.inp rename to examples/python/TESTING.inp diff --git a/epyt/examples/python/Toolkit_EX2_Hydrant_rating_curve.py b/examples/python/Toolkit_EX2_Hydrant_rating_curve.py similarity index 100% rename from epyt/examples/python/Toolkit_EX2_Hydrant_rating_curve.py rename to examples/python/Toolkit_EX2_Hydrant_rating_curve.py diff --git a/epyt/examples/python/Toolkit_EX3_Minimum_chlorine_residual.py b/examples/python/Toolkit_EX3_Minimum_chlorine_residual.py similarity index 100% rename from epyt/examples/python/Toolkit_EX3_Minimum_chlorine_residual.py rename to examples/python/Toolkit_EX3_Minimum_chlorine_residual.py diff --git a/epyt/examples/python/Toolkit_EX4_Network_Building.py b/examples/python/Toolkit_EX4_Network_Building.py similarity index 100% rename from epyt/examples/python/Toolkit_EX4_Network_Building.py rename to examples/python/Toolkit_EX4_Network_Building.py diff --git a/epyt/examples/python/Toolkit_api_EX1_using_EN_functions.py b/examples/python/Toolkit_api_EX1_using_EN_functions.py similarity index 100% rename from epyt/examples/python/Toolkit_api_EX1_using_EN_functions.py rename to examples/python/Toolkit_api_EX1_using_EN_functions.py diff --git a/epyt/examples/python/Toolkit_api_EX2_using_MSX_functions.py b/examples/python/Toolkit_api_EX2_using_MSX_functions.py similarity index 100% rename from epyt/examples/python/Toolkit_api_EX2_using_MSX_functions.py rename to examples/python/Toolkit_api_EX2_using_MSX_functions.py diff --git a/epyt/examples/python/example2.inp b/examples/python/example2.inp similarity index 100% rename from epyt/examples/python/example2.inp rename to examples/python/example2.inp diff --git a/epyt/examples/python/net1_overflow.inp b/examples/python/net1_overflow.inp similarity index 100% rename from epyt/examples/python/net1_overflow.inp rename to examples/python/net1_overflow.inp From d68e899798ac3ca8dcb2b4185362aecbc3ec800e Mon Sep 17 00:00:00 2001 From: Angus McBride Date: Tue, 23 Dec 2025 12:25:44 +0100 Subject: [PATCH 158/183] Warn on failing imports --- epyt/epanet.py | 22 +++++++++++++++++----- 1 file changed, 17 insertions(+), 5 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 6df2908..e1ba91d 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -83,11 +83,23 @@ from shutil import copyfile from types import SimpleNamespace -import matplotlib as mpl -import matplotlib.pyplot as plt -import numpy as np -import pandas as pd -from matplotlib import cm + +try: + import matplotlib as mpl + import matplotlib.pyplot as plt + from matplotlib import cm +except ImportError: + warnings.warn("matplotlib is not installed. Plotting functions will not work.") + +try: + import numpy as np +except ImportError: + warnings.warn("numpy is not installed. Some functions will not work.") + +try: + import pandas as pd +except ImportError: + warnings.warn("pandas is not installed. Excel functions will not work.") epyt_root = str(files("epyt")) From ef87b4bda9e35d92b78a3e8bddedc0efc2f8ace4 Mon Sep 17 00:00:00 2001 From: "Marios S. Kyriakou" Date: Wed, 4 Feb 2026 16:11:25 +0200 Subject: [PATCH 159/183] Add EPANET 2.3 C API headers and update libs --- epyt/libraries/epanet2.h | 464 ++++++ epyt/libraries/epanet2_2.h | 1960 ++++++++++++++++++++++++++ epyt/libraries/epanet2_enums.h | 518 +++++++ epyt/libraries/epanetmsx.h | 103 ++ epyt/libraries/glnx/libepanet2 | Bin 16304 -> 16952 bytes epyt/libraries/glnx/libepanet2.so | Bin 441688 -> 430008 bytes epyt/libraries/win/2.2/epanet2.dll | Bin 349184 -> 0 bytes epyt/libraries/win/2.2/epanet2.exe | Bin 11776 -> 0 bytes epyt/libraries/win/2.2/epanetmsx.dll | Bin 147456 -> 0 bytes epyt/libraries/win/2.2/epanetmsx.exe | Bin 12288 -> 0 bytes epyt/libraries/win/epanet2.dll | Bin 535552 -> 464896 bytes epyt/libraries/win/epanet2.exe | Bin 12288 -> 141824 bytes epyt/libraries/win/epanetmsx.dll | Bin 150016 -> 147456 bytes 13 files changed, 3045 insertions(+) create mode 100644 epyt/libraries/epanet2.h create mode 100644 epyt/libraries/epanet2_2.h create mode 100644 epyt/libraries/epanet2_enums.h create mode 100644 epyt/libraries/epanetmsx.h delete mode 100644 epyt/libraries/win/2.2/epanet2.dll delete mode 100644 epyt/libraries/win/2.2/epanet2.exe delete mode 100644 epyt/libraries/win/2.2/epanetmsx.dll delete mode 100644 epyt/libraries/win/2.2/epanetmsx.exe diff --git a/epyt/libraries/epanet2.h b/epyt/libraries/epanet2.h new file mode 100644 index 0000000..042d6c6 --- /dev/null +++ b/epyt/libraries/epanet2.h @@ -0,0 +1,464 @@ +/* + ****************************************************************************** + Project: OWA EPANET + Version: 2.3 + Module: epanet2.h + Description: declarations of the legacy style EPANET 2 API functions + Authors: see AUTHORS + Copyright: see AUTHORS + License: see LICENSE + Last Updated: 02/14/2025 + ****************************************************************************** + */ + +/* +This module contains declarations of the legacy style EPANET API functions, with +version 2.2 updates, that apply only to single threaded applications. A second +set of thread safe API functions that allows one to run concurrent analyses on +multiple EPANET projects can be found in the epanet2_2.h header file. The two +APIs share the same function names and arguments with the difference being that +the thread safe functions use the prefix "EN_" and include an extra argument that +represents the EPANET project being analyzed. To avoid unnecessary repetition, +only the thread safe API functions have been documented. To see a description of +a legacy style API function declared here please refer to its complementary named +function in epanet2_2.h. +*/ + +#ifndef EPANET2_H +#define EPANET2_H + +// The legacy style EPANET API can be compiled with support for either single +// precision or double precision floating point arguments, with the default +// being single precision. To compile for double precision one must #define +// EN_API_FLOAT_TYPE as double both here and in any client code that uses the +// API. +#ifndef EN_API_FLOAT_TYPE + #define EN_API_FLOAT_TYPE float +#endif + +#ifndef DLLEXPORT + #ifdef _WIN32 + #ifdef epanet2_EXPORTS + #define DLLEXPORT __declspec(dllexport) __stdcall + #else + #define DLLEXPORT __declspec(dllimport) __stdcall + #endif + #elif defined(__CYGWIN__) + #define DLLEXPORT __stdcall + #else + #define DLLEXPORT + #endif +#endif + +#include "epanet2_enums.h" + +// --- Declare the EPANET toolkit functions +#if defined(__cplusplus) +extern "C" { +#endif + + +/******************************************************************** + + Project Functions + +********************************************************************/ + + int DLLEXPORT ENepanet(const char *inpFile, const char *rptFile, + const char *outFile, void (*pviewprog) (char *)); + + int DLLEXPORT ENinit(const char *rptFile, const char *outFile, + int unitsType, int headlossType); + + int DLLEXPORT ENopen(const char *inpFile, const char *rptFile, + const char *outFile); + + int DLLEXPORT ENopenX(const char *inpFile, const char *rptFile, + const char *outFile); + + int DLLEXPORT ENgettitle(char *line1, char *line2, char *line3); + + int DLLEXPORT ENsettitle(const char *line1, const char *line2, const char *line3); + + int DLLEXPORT ENgetcomment(int object, int index, char *comment); + + int DLLEXPORT ENsetcomment(int object, int index, const char *comment); + + int DLLEXPORT ENgettag(int object, int index, char *tag); + + int DLLEXPORT ENsettag(int object, int index, const char *tag); + + int DLLEXPORT ENgetcount(int object, int *count); + + int DLLEXPORT ENsaveinpfile(const char *filename); + + int DLLEXPORT ENclose(); + +/******************************************************************** + + Hydraulic Analysis Functions + +********************************************************************/ + + int DLLEXPORT ENsolveH(); + + int DLLEXPORT ENsaveH(); + + int DLLEXPORT ENopenH(); + + int DLLEXPORT ENinitH(int initFlag); + + int DLLEXPORT ENrunH(long *currentTime); + + int DLLEXPORT ENnextH(long *tStep); + + int DLLEXPORT ENcloseH(); + + int DLLEXPORT ENsavehydfile(const char *filename); + + int DLLEXPORT ENusehydfile(const char *filename); + +/******************************************************************** + + Water Quality Analysis Functions + +********************************************************************/ + + int DLLEXPORT ENsolveQ(); + + int DLLEXPORT ENopenQ(); + + int DLLEXPORT ENinitQ(int saveFlag); + + int DLLEXPORT ENrunQ(long *currentTime); + + int DLLEXPORT ENnextQ(long *tStep); + + int DLLEXPORT ENstepQ(long *timeLeft); + + int DLLEXPORT ENcloseQ(); + +/******************************************************************** + + Reporting Functions + +********************************************************************/ + + int DLLEXPORT ENwriteline(const char *line); + + int DLLEXPORT ENreport(); + + int DLLEXPORT ENcopyreport(const char *filename); + + int DLLEXPORT ENclearreport(); + + int DLLEXPORT ENresetreport(); + + int DLLEXPORT ENsetreport(const char *format); + + int DLLEXPORT ENsetstatusreport(int level); + + int DLLEXPORT ENgetversion(int *version); + + int DLLEXPORT ENgeterror(int errcode, char *errmsg, int maxLen); + + int DLLEXPORT ENgetstatistic(int type, EN_API_FLOAT_TYPE* value); + + int DLLEXPORT ENgetresultindex(int type, int index, int *value); + + int DLLEXPORT ENtimetonextevent(int *eventType, long *duration, int *elementIndex); + + int DLLEXPORT ENsetreportcallback(void (*callback)(void *userData, void *EN_projectHandle, const char*)); + + int DLLEXPORT ENsetreportcallbackuserdata(void *userData); + + +/******************************************************************** + + Analysis Options Functions + +********************************************************************/ + + int DLLEXPORT ENgetoption(int option, EN_API_FLOAT_TYPE *value); + + int DLLEXPORT ENsetoption(int option, EN_API_FLOAT_TYPE value); + + int DLLEXPORT ENgetflowunits(int *units); + + int DLLEXPORT ENsetflowunits(int units); + + int DLLEXPORT ENgettimeparam(int param, long *value); + + int DLLEXPORT ENsettimeparam(int param, long value); + + int DLLEXPORT ENgetqualinfo(int *qualType, char *chemName, char *chemUnits, + int *traceNode); + + int DLLEXPORT ENgetqualtype(int *qualType, int *traceNode); + + int DLLEXPORT ENsetqualtype(int qualType, const char *chemName, + const char *chemUnits, const char *traceNode); + +/******************************************************************** + + Node Functions + +********************************************************************/ + + int DLLEXPORT ENaddnode(const char *id, int nodeType, int *index); + + int DLLEXPORT ENdeletenode(int index, int actionCode); + + int DLLEXPORT ENgetnodeindex(const char *id, int *index); + + int DLLEXPORT ENgetnodeid(int index, char *id); + + int DLLEXPORT ENsetnodeid(int index, const char *newid); + + int DLLEXPORT ENgetnodetype(int index, int *nodeType); + + int DLLEXPORT ENgetnodevalue(int index, int property, EN_API_FLOAT_TYPE *value); + + int DLLEXPORT ENgetnodevalues(int property, EN_API_FLOAT_TYPE *value); + + int DLLEXPORT ENsetnodevalue(int index, int property, EN_API_FLOAT_TYPE value); + + int DLLEXPORT ENsetjuncdata(int index, EN_API_FLOAT_TYPE elev, + EN_API_FLOAT_TYPE dmnd, const char *dmndpat); + + int DLLEXPORT ENsettankdata(int index, EN_API_FLOAT_TYPE elev, + EN_API_FLOAT_TYPE initlvl, EN_API_FLOAT_TYPE minlvl, + EN_API_FLOAT_TYPE maxlvl, EN_API_FLOAT_TYPE diam, + EN_API_FLOAT_TYPE minvol, const char *volcurve); + + int DLLEXPORT ENgetcoord(int index, double *x, double *y); + + int DLLEXPORT ENsetcoord(int index, double x, double y); + +/******************************************************************** + + Nodal Demand Functions + +********************************************************************/ + + int DLLEXPORT ENgetdemandmodel(int *model, EN_API_FLOAT_TYPE *pmin, + EN_API_FLOAT_TYPE *preq, EN_API_FLOAT_TYPE *pexp); + + int DLLEXPORT ENsetdemandmodel(int model, EN_API_FLOAT_TYPE pmin, + EN_API_FLOAT_TYPE preq, EN_API_FLOAT_TYPE pexp); + + int DLLEXPORT ENadddemand(int nodeIndex, EN_API_FLOAT_TYPE baseDemand, + const char *demandPattern, const char *demandName); + + int DLLEXPORT ENdeletedemand(int nodeIndex, int demandIndex); + + int DLLEXPORT ENgetnumdemands(int nodeIndex, int *numDemands); + + int DLLEXPORT ENgetdemandindex(int nodeIndex, const char *demandName, + int *demandIndex); + + int DLLEXPORT ENgetbasedemand(int nodeIndex, int demandIndex, + EN_API_FLOAT_TYPE *baseDemand); + + int DLLEXPORT ENsetbasedemand(int nodeIndex, int demandIndex, + EN_API_FLOAT_TYPE baseDemand); + + int DLLEXPORT ENgetdemandpattern(int nodeIndex, int demandIndex, int *patIndex); + + int DLLEXPORT ENsetdemandpattern(int nodeIndex, int demandIndex, int patIndex); + + int DLLEXPORT ENgetdemandname(int nodeIndex, int demandIndex, char *demandName); + + int DLLEXPORT ENsetdemandname(int nodeIndex, int demandIndex, const char *demandName); + +/******************************************************************** + + Link Functions + +********************************************************************/ + + int DLLEXPORT ENaddlink(const char *id, int linkType, const char *fromNode, + const char *toNode, int *index); + + int DLLEXPORT ENdeletelink(int index, int actionCode); + + int DLLEXPORT ENgetlinkindex(const char *id, int *index); + + int DLLEXPORT ENgetlinkid(int index, char *id); + + int DLLEXPORT ENsetlinkid(int index, const char *newid); + + int DLLEXPORT ENgetlinktype(int index, int *linkType); + + int DLLEXPORT ENsetlinktype(int *index, int linkType, int actionCode); + + int DLLEXPORT ENgetlinknodes(int index, int *node1, int *node2); + + int DLLEXPORT ENsetlinknodes(int index, int node1, int node2); + + int DLLEXPORT ENgetlinkvalue(int index, int property, EN_API_FLOAT_TYPE *value); + + int DLLEXPORT ENgetlinkvalues(int property, EN_API_FLOAT_TYPE *value); + + int DLLEXPORT ENsetlinkvalue(int index, int property, EN_API_FLOAT_TYPE value); + + int DLLEXPORT ENsetpipedata(int index, EN_API_FLOAT_TYPE length, + EN_API_FLOAT_TYPE diam, EN_API_FLOAT_TYPE rough, + EN_API_FLOAT_TYPE mloss); + + int DLLEXPORT ENgetvertexcount(int index, int *count); + + int DLLEXPORT ENgetvertex(int index, int vertex, double *x, double *y); + + int DLLEXPORT ENsetvertex(int index, int vertex, double x, double y); + + int DLLEXPORT ENsetvertices(int index, double *x, double *y, int count); + +/******************************************************************** + + Pump Functions + +********************************************************************/ + + int DLLEXPORT ENgetpumptype(int linkIndex, int *pumpType); + + int DLLEXPORT ENgetheadcurveindex(int linkIndex, int *curveIndex); + + int DLLEXPORT ENsetheadcurveindex(int linkIndex, int curveIndex); + +/******************************************************************** + + Time Pattern Functions + +********************************************************************/ + + int DLLEXPORT ENaddpattern(const char *id); + + int DLLEXPORT ENdeletepattern(int index); + + int DLLEXPORT ENgetpatternindex(const char *id, int *index); + + int DLLEXPORT ENgetpatternid(int index, char *id); + + int DLLEXPORT ENsetpatternid(int index, const char *id); + + int DLLEXPORT ENgetpatternlen(int index, int *len); + + int DLLEXPORT ENgetpatternvalue(int index, int period, EN_API_FLOAT_TYPE *value); + + int DLLEXPORT ENsetpatternvalue(int index, int period, EN_API_FLOAT_TYPE value); + + int DLLEXPORT ENgetaveragepatternvalue(int index, EN_API_FLOAT_TYPE *value); + + int DLLEXPORT ENsetpattern(int index, EN_API_FLOAT_TYPE *values, int len); + + int DLLEXPORT ENloadpatternfile(const char *filename, const char *id); + +/******************************************************************** + + Data Curve Functions + +********************************************************************/ + + int DLLEXPORT ENaddcurve(const char *id); + + int DLLEXPORT ENdeletecurve(int index); + + int DLLEXPORT ENgetcurveindex(const char *id, int *index); + + int DLLEXPORT ENgetcurveid(int index, char *id); + + int DLLEXPORT ENsetcurveid(int index, const char *id); + + int DLLEXPORT ENgetcurvelen(int index, int *len); + + int DLLEXPORT ENgetcurvetype(int index, int *type); + + int DLLEXPORT ENsetcurvetype(int index, int type); + + int DLLEXPORT ENgetcurvevalue(int curveIndex, int pointIndex, + EN_API_FLOAT_TYPE *x, EN_API_FLOAT_TYPE *y); + + int DLLEXPORT ENsetcurvevalue(int curveIndex, int pointIndex, + EN_API_FLOAT_TYPE x, EN_API_FLOAT_TYPE y); + + int DLLEXPORT ENgetcurve(int index, char* id, int *nPoints, + EN_API_FLOAT_TYPE *xValues, EN_API_FLOAT_TYPE *yValues); + + int DLLEXPORT ENsetcurve(int index, EN_API_FLOAT_TYPE *xValues, + EN_API_FLOAT_TYPE *yValues, int nPoints); + +/******************************************************************** + + Simple Controls Functions + +********************************************************************/ + + int DLLEXPORT ENaddcontrol(int type, int linkIndex, EN_API_FLOAT_TYPE setting, + int nodeIndex, EN_API_FLOAT_TYPE level, int *index); + + int DLLEXPORT ENdeletecontrol(int index); + + int DLLEXPORT ENgetcontrol(int index, int *type, int *linkIndex, + EN_API_FLOAT_TYPE *setting, int *nodeIndex, EN_API_FLOAT_TYPE *level); + + int DLLEXPORT ENsetcontrol(int index, int type, int linkIndex, + EN_API_FLOAT_TYPE setting, int nodeIndex, EN_API_FLOAT_TYPE level); + + int DLLEXPORT ENgetcontrolenabled(int index, int *out_enabled); + + int DLLEXPORT ENsetcontrolenabled(int index, int enabled); + +/******************************************************************** + + Rule-Based Controls Functions + +********************************************************************/ + + int DLLEXPORT ENaddrule(char *rule); + + int DLLEXPORT ENdeleterule(int index); + + int DLLEXPORT ENgetrule(int index, int *nPremises, int *nThenActions, + int *nElseActions, EN_API_FLOAT_TYPE *priority); + + int DLLEXPORT ENgetruleID(int index, char* id); + + int DLLEXPORT ENgetpremise(int ruleIndex, int premiseIndex, int *logop, + int *object, int *objIndex, int *variable, + int *relop, int *status, EN_API_FLOAT_TYPE *value); + + int DLLEXPORT ENsetpremise(int ruleIndex, int premiseIndex, int logop, + int object, int objIndex, int variable, int relop, + int status, EN_API_FLOAT_TYPE value); + + int DLLEXPORT ENsetpremiseindex(int ruleIndex, int premiseIndex, int objIndex); + + int DLLEXPORT ENsetpremisestatus(int ruleIndex, int premiseIndex, int status); + + int DLLEXPORT ENsetpremisevalue(int ruleIndex, int premiseIndex, + EN_API_FLOAT_TYPE value); + + int DLLEXPORT ENgetthenaction(int ruleIndex, int actionIndex, int *linkIndex, + int *status, EN_API_FLOAT_TYPE *setting); + + int DLLEXPORT ENsetthenaction(int ruleIndex, int actionIndex, int linkIndex, + int status, EN_API_FLOAT_TYPE setting); + + int DLLEXPORT ENgetelseaction(int ruleIndex, int actionIndex, int *linkIndex, + int *status, EN_API_FLOAT_TYPE *setting); + + int DLLEXPORT ENsetelseaction(int ruleIndex, int actionIndex, int linkIndex, + int status, EN_API_FLOAT_TYPE setting); + + int DLLEXPORT ENsetrulepriority(int index, EN_API_FLOAT_TYPE priority); + + int DLLEXPORT ENgetruleenabled(int index, int *out_enabled); + + int DLLEXPORT ENsetruleenabled(int index, int enabled); + + #if defined(__cplusplus) + } + #endif + +#endif //EPANET2_H diff --git a/epyt/libraries/epanet2_2.h b/epyt/libraries/epanet2_2.h new file mode 100644 index 0000000..eca5095 --- /dev/null +++ b/epyt/libraries/epanet2_2.h @@ -0,0 +1,1960 @@ +/** @file epanet2_2.h + @see http://github.com/openwateranalytics/epanet + */ + +/* + ****************************************************************************** + Project: OWA EPANET + Version: 2.3 + Module: epanet2.h + Description: API function declarations + Authors: see AUTHORS + Copyright: see AUTHORS + License: see LICENSE + Last Updated: 04/25/2025 + ****************************************************************************** + */ + +#ifndef EPANET2_2_H +#define EPANET2_2_H + +#ifdef epanet_py_EXPORTS + #define DLLEXPORT +#else + #ifndef DLLEXPORT + #ifdef _WIN32 + #ifdef epanet2_EXPORTS + #define DLLEXPORT __declspec(dllexport) __stdcall + #else + #define DLLEXPORT __declspec(dllimport) __stdcall + #endif + #elif defined(__CYGWIN__) + #define DLLEXPORT __stdcall + #else + #define DLLEXPORT + #endif + #endif +#endif + +#include "epanet2_enums.h" + +// --- Declare the EPANET toolkit functions +#if defined(__cplusplus) +extern "C" { +#endif + +/** + @brief The EPANET Project wrapper object +*/ +typedef struct Project *EN_Project; + +/*=================================================================== + + Project Functions + +===================================================================*/ + + /** + @brief Creates an EPANET project. + @param[out] ph an EPANET project handle that is passed into all other API functions. + @return an error code. + + EN_createproject must be called before any other API functions are used. + */ + int DLLEXPORT EN_createproject(EN_Project *ph); + + /** + @brief Deletes a currently opened EPANET project. + @param[in,out] ph an EPANET project handle which is returned as NULL. + @return an error code. + + EN_deleteproject should be called after all network analysis has been completed. + */ + int DLLEXPORT EN_deleteproject(EN_Project ph); + + /** + @brief Runs a complete EPANET simulation. + @param ph an EPANET project handle. + @param inpFile the name of an existing EPANET-formatted input file. + @param rptFile the name of a report file to be created (or "" if not needed) + @param outFile the name of a binary output file to be created (or "" if not needed) + @param pviewprog a callback function that takes a character string (char *) as its only parameter. + @return an error code + + The callback function should reside in and be used by the calling code to display + the progress messages that EPANET generates as it carries out its computations. Here is + an example of a such a function that displays progress messages to stdout: + \code {.c} + void writeConsole(char *s) + { + fprintf(stdout, "\n%s", s); + } + \endcode + It would be passed into EN_runproject as `&writeConsole`. If this feature is not needed then + the pviewprog argument should be `NULL`. + */ + int DLLEXPORT EN_runproject(EN_Project ph, const char *inpFile, const char *rptFile, + const char *outFile, void (*pviewprog)(char *)); + + /** + @brief Initializes an EPANET project. + @param ph an EPANET project handle. + @param rptFile the name of a report file to be created (or "" if not needed). + @param outFile the name of a binary output file to be created (or "" if not needed). + @param unitsType the choice of flow units (see @ref EN_FlowUnits). + @param headLossType the choice of head loss formula (see @ref EN_HeadLossType). + @return an error code. + + This function should be called immediately after ::EN_createproject if an EPANET-formatted input + file will not be used to supply network data. If the project receives it's network data + from an input file then there is no need to call this function. + */ + int DLLEXPORT EN_init(EN_Project ph, const char *rptFile, const char *outFile, + int unitsType, int headLossType); + + /** + @brief Reads an EPANET input file with no errors allowed. + @param ph an EPANET project handle. + @param inpFile the name of an existing EPANET-formatted input file. + @param rptFile the name of a report file to be created (or "" if not needed). + @param outFile the name of a binary output file to be created (or "" if not needed). + @return an error code. + + This function should be called immediately after ::EN_createproject if an EPANET-formatted + input file will be used to supply network data. If errors are detected then the project is + not opened and will not accept toolkit function calls. + */ + int DLLEXPORT EN_open(EN_Project ph, const char *inpFile, const char *rptFile, + const char *outFile); + + /** + @brief Reads an EPANET input file with errors allowed. + @param ph an EPANET project handle. + @param inpFile the name of an existing EPANET-formatted input file. + @param rptFile the name of a report file to be created (or "" if not needed). + @param outFile the name of a binary output file to be created (or "" if not needed). + @return an error code. + + This function should be called immediately after ::EN_createproject if an EPANET-formatted + input file will be used to supply network data. If formatting errors are detected (error + code = 200) then the project remains open and will accept toolkit function calls. + */ + int DLLEXPORT EN_openX(EN_Project ph, const char *inpFile, const char *rptFile, + const char *outFile); + + /** + @brief Retrieves the title lines of the project + @param ph an EPANET project handle. + @param[out] out_line1 first title line + @param[out] out_line2 second title line + @param[out] out_line3 third title line + @return an error code + */ + int DLLEXPORT EN_gettitle(EN_Project ph, char *out_line1, char *out_line2, char *out_line3); + + /** + @brief Sets the title lines of the project + @param ph an EPANET project handle. + @param line1 first title line + @param line2 second title line + @param line3 third title line + @return an error code + */ + int DLLEXPORT EN_settitle(EN_Project ph, const char *line1, const char *line2, + const char *line3); + + /** + @brief Retrieves a descriptive comment assigned to a Node, Link, Pattern or Curve. + @param ph an EPANET project handle. + @param object a type of object (either EN_NODE, EN_LINK, EN_TIMEPAT or EN_CURVE) + @param index the object's index starting from 1 + @param[out] out_comment the comment string assigned to the object + @return an error code + */ + int DLLEXPORT EN_getcomment(EN_Project ph, int object, int index, char *out_comment); + + /** + @brief Assigns a descriptive comment to a Node, Link, Pattern or Curve. + @param ph an EPANET project handle. + @param object a type of object (either EN_NODE, EN_LINK, EN_TIMEPAT or EN_CURVE) + @param index the object's index starting from 1 + @param comment the comment string assigned to the object + @return an error code + */ + int DLLEXPORT EN_setcomment(EN_Project ph, int object, int index, + const char *comment); + + /** + @brief Retrieves a tag string assigned to a Node or Link. + @param ph an EPANET project handle. + @param object a type of object (either EN_NODE or EN_LINK) + @param index the object's index starting from 1 + @param[out] out_tag the tag string assigned to the object + @return an error code + */ + int DLLEXPORT EN_gettag(EN_Project ph, int object, int index, char *out_tag); + + /** + @brief Assigns a tag string to a Node or Link. + @param ph an EPANET project handle. + @param object a type of object (either EN_NODE or EN_LINK) + @param index the object's index starting from 1 + @param tag the tag string assigned to the object + @return an error code + */ + int DLLEXPORT EN_settag(EN_Project ph, int object, int index, + const char *tag); + + /** + @brief Retrieves the number of objects of a given type in a project. + @param ph an EPANET project handle. + @param object a type of object to count (see @ref EN_CountType) + @param[out] out_count number of objects of the specified type + @return an error code + */ + int DLLEXPORT EN_getcount(EN_Project ph, int object, int *out_count); + + /** + @brief Saves a project's data to an EPANET-formatted text file. + @param ph an EPANET project handle. + @param filename the name of the file to create. + @return an error code + */ + int DLLEXPORT EN_saveinpfile(EN_Project ph, const char *filename); + + /** + @brief Closes a project and frees all of its memory. + @param ph an EPANET project handle. + @return an error code + + This function clears all existing data from a project but does not delete the + project, so it can be re-used with another set of network data. Use ::EN_deleteproject + to actually delete a project from memory. + */ + int DLLEXPORT EN_close(EN_Project ph); + +/*=================================================================== + + Hydraulic Analysis Functions + +===================================================================*/ + + /** + @brief Runs a complete hydraulic simulation with results for all time periods + written to a temporary hydraulics file. + @param ph an EPANET project handle. + @return an error code. + + Use ::EN_solveH to generate a complete hydraulic solution which can stand alone + or be used as input to a water quality analysis. This function will not allow one to + examine intermediate hydraulic results as they are generated. It can also be followed by calls + to ::EN_saveH and ::EN_report to write hydraulic results to the report file. + + The sequence ::EN_openH - ::EN_initH - ::EN_runH - ::EN_nextH - ::EN_closeH + can be used instead to gain access to results at intermediate time periods and + directly adjust link status and control settings as a simulation proceeds. + + Example: + \code {.c} + EN_Project ph; + EN_createproject(&ph); + EN_open(ph, "net1.inp", "net1.rpt", ""); + EN_solveH(ph); + EN_solveQ(ph); + EN_report(ph); + EN_deleteproject(ph); + \endcode + */ + int DLLEXPORT EN_solveH(EN_Project ph); + + /** + @brief Uses a previously saved binary hydraulics file to supply a project's hydraulics. + @param ph an EPANET project handle. + @param filename the name of the binary file containing hydraulic results. + @return an error code. + + Call this function to re-use a set of hydraulic analysis results saved previously. This + can save computational time if water quality analyses are being made under the same set + of hydraulic conditions. + + Do not call this function while the hydraulics solver is open. + */ + int DLLEXPORT EN_usehydfile(EN_Project ph, const char *filename); + + /** + @brief Opens a project's hydraulic solver. + @param ph an EPANET project handle. + @return an error code. + + Call ::EN_openH prior to running the first hydraulic analysis using the + ::EN_initH - ::EN_runH - ::EN_nextH sequence. Multiple analyses can be made before + calling ::EN_closeH to close the hydraulic solver. + + Do not call this function if ::EN_solveH is being used to run a complete hydraulic + analysis or if hydraulics are being supplied by a previously saved hydraulics file + using ::EN_usehydfile. + */ + int DLLEXPORT EN_openH(EN_Project ph); + + /** + @brief Initializes a network prior to running a hydraulic analysis. + @param ph an EPANET project handle. + @param initFlag a 2-digit initialization flag (see @ref EN_InitHydOption). + @return an error code. + + This function initializes storage tank levels, link status and settings, and + the simulation time clock prior to running a hydraulic analysis. + + The initialization flag is a two digit number where the 1st (left) digit + indicates if link flows should be re-initialized (1) or not (0), and the + 2nd digit indicates if hydraulic results should be saved to a temporary + binary hydraulics file (1) or not (0). + + Be sure to call ::EN_initH prior to running a hydraulic analysis using a + ::EN_runH - ::EN_nextH loop. + + Choose to save hydraulics results if you will be: + - making a subsequent water quality run, + - using ::EN_report to generate a report + - using ::EN_savehydfile to save the binary hydraulics file. + + There is no need to save hydraulics if you will be writing custom code to + process hydraulic results as they are generated using the functions ::EN_getnodevalue + and ::EN_getlinkvalue. + */ + int DLLEXPORT EN_initH(EN_Project ph, int initFlag); + + /** + @brief Computes a hydraulic solution for the current point in time. + @param ph an EPANET project handle. + @param[out] out_currentTime the current simulation time in seconds. + @return an error or warning code. + + This function is used in a loop with ::EN_nextH to run an extended period hydraulic + simulation. This process automatically updates the simulation clock time so `currentTime` + should be treated as a read-only variable. + + ::EN_initH must have been called prior to running the ::EN_runH - ::EN_nextH loop. + + See ::EN_nextH for an example of using this function. + */ + int DLLEXPORT EN_runH(EN_Project ph, long *out_currentTime); + + /** + @brief Determines the length of time until the next hydraulic event occurs in an + extended period simulation. + @param ph an EPANET project handle. + @param[out] out_tStep the time (in seconds) until the next hydraulic event or 0 if at + the end of the full simulation duration. + @return an error code. + + This function is used in a loop with ::EN_runH to run an extended period hydraulic + simulation. + + The value of `out_tstep` should be treated as a read-only variable. It is automatically + computed as the smaller of: + - the time interval until the next hydraulic time step begins + - the time interval until the next reporting time step begins + - the time interval until the next change in demands occurs + - the time interval until a tank becomes full or empty + - the time interval until a control or rule fires. + + Example: + \code {.c} + long t, tstep; + EN_openH(ph); + EN_initH(ph, EN_NOSAVE); + do { + EN_runH(ph, &t); + // Retrieve hydraulic results for time t + EN_nextH(ph, &tstep); + } while (tstep > 0); + EN_closeH(ph); + \endcode + */ + int DLLEXPORT EN_nextH(EN_Project ph, long *out_tStep); + + /** + @brief Transfers a project's hydraulics results from its temporary hydraulics file + to its binary output file, where results are only reported at uniform reporting intervals. + @param ph an EPANET project handle. + @return an error code. + + ::EN_saveH is used when only a hydraulic analysis is run and results at uniform reporting + intervals need to be transferred to a project's binary output file. Such would be the case + when results are to be written in formatted fashion to the project's report file using ::EN_report. + */ + int DLLEXPORT EN_saveH(EN_Project ph); + + /** + @brief Saves a project's temporary hydraulics file to disk. + @param ph an EPANET project handle. + @param filename the name of the file to be created. + @return an error code. + + Use this function to save the current set of hydraulics results to a file, either for + post-processing or to be used at a later time by calling the ::EN_usehydfile function. + + The hydraulics file contains nodal demands and heads and link flows, status, and settings + for all hydraulic time steps, even intermediate ones. + + Before calling this function hydraulic results must have been generated and saved by having + called ::EN_solveH or the ::EN_initH - ::EN_runH - ::EN_nextH sequence with the initflag + argument of ::EN_initH set to `EN_SAVE` or `EN_SAVE_AND_INIT`. + */ + int DLLEXPORT EN_savehydfile(EN_Project ph, const char *filename); + + /** + @brief Closes the hydraulic solver freeing all of its allocated memory. + @return an error code. + + Call ::EN_closeH after all hydraulics analyses have been made using + ::EN_initH - ::EN_runH - ::EN_nextH. Do not call this function if ::EN_solveH is being used. + */ + int DLLEXPORT EN_closeH(EN_Project ph); + +/*=================================================================== + + Water Quality Analysis Functions + +===================================================================*/ + + /** + @brief Runs a complete water quality simulation with results at uniform + reporting intervals written to the project's binary output file. + @param ph an EPANET project handle. + @return an error code. + + A hydraulic analysis must have been run and saved to a hydraulics file before + calling ::EN_solveQ. This function will not allow one to examine intermediate water + quality results as they are generated. It can be followed by a call to ::EN_report + to write all hydraulic and water quality results to a formatted report file. + + One can instead use the ::EN_openQ - ::EN_initQ - ::EN_runQ - ::EN_nextQ - ::EN_closeQ + sequence to gain access to gain access to water quality results at intermediate time + periods. + + Example: see ::EN_solveH. + */ + int DLLEXPORT EN_solveQ(EN_Project ph); + + /** + @brief Opens a project's water quality solver. + @param ph an EPANET project handle. + @return an error code. + + Call ::EN_openQ prior to running the first water quality analysis using an + ::EN_initQ - ::EN_runQ - ::EN_nextQ (or ::EN_stepQ) sequence. Multiple water + quality analyses can be made before calling ::EN_closeQ to close the water + quality solver. + + Do not call this function if a complete water quality analysis will be made + using ::EN_solveQ. + */ + int DLLEXPORT EN_openQ(EN_Project ph); + + /** + @brief Initializes a network prior to running a water quality analysis. + @param ph an EPANET project handle. + @param saveFlag set to `EN_SAVE` (1) if results are to be saved to the project's + binary output file, or to `EN_NOSAVE` (0) if not. + @return an error code. + + Call ::EN_initQ prior to running a water quality analysis using ::EN_runQ in + conjunction with either ::EN_nextQ or ::EN_stepQ. + + ::EN_openQ must have been called prior to calling ::EN_initQ. + + Do not call ::EN_initQ if a complete water quality analysis will be made using ::EN_solveQ. + */ + int DLLEXPORT EN_initQ(EN_Project ph, int saveFlag); + + /** + @brief Makes hydraulic and water quality results at the start of the current time + period available to a project's water quality solver. + @param ph an EPANET project handle. + @param[out] out_currentTime current simulation time in seconds. + @return an error code. + + Use ::EN_runQ along with ::EN_nextQ in a loop to access water quality results at the + start of each hydraulic period in an extended period simulation. Or use it in a loop + with ::EN_stepQ to access results at the start of each water quality time step. See + each of these functions for examples of how to code such loops. + + ::EN_initQ must have been called prior to running an ::EN_runQ - ::EN_nextQ + (or ::EN_stepQ) loop. + + The current time of the simulation, `out_currentTime`, is determined from information + saved with the hydraulic analysis that preceded the water quality analysis. Treat it + as a read-only variable. + */ + int DLLEXPORT EN_runQ(EN_Project ph, long *out_currentTime); + + /** + @brief Advances a water quality simulation over the time until the next hydraulic event. + @param ph an EPANET project handle. + @param[out] out_tStep time (in seconds) until the next hydraulic event or 0 if at the end + of the full simulation duration. + @return an error code. + + This function is used in a loop with ::EN_runQ to perform an extended period water + quality analysis. It reacts and routes a project's water quality constituent over a + time step determined by when the next hydraulic event occurs. Use ::EN_stepQ instead + if you wish to generate results over each water quality time step. + + The value of `out_tStep` is determined from information produced by the hydraulic analysis + that preceded the water quality analysis. Treat it as a read-only variable. + + Example: + \code {.c} + long t, tStep; + EN_solveH(ph); // Generate & save hydraulics + EN_openQ(ph); + EN_initQ(ph, EN_NOSAVE); + do { + EN_runQ(ph, &t); + // Monitor results at time t, which + // begins a new hydraulic time period + EN_nextQ(ph, &tStep); + } while (tStep > 0); + EN_closeQ(ph); + \endcode + */ + int DLLEXPORT EN_nextQ(EN_Project ph, long *out_tStep); + + /** + @brief Advances a water quality simulation by a single water quality time step. + @param ph an EPANET project handle. + @param[out] out_timeLeft time left (in seconds) to the overall simulation duration. + @return an error code. + + This function is used in a loop with ::EN_runQ to perform an extended period water + quality simulation. It allows one to generate water quality results at each water + quality time step of the simulation, rather than over each hydraulic event period + as with ::EN_nextQ. + + Use the argument `out_timeLeft` to determine when no more calls to ::EN_runQ are needed + because the end of the simulation period has been reached (i.e., when `out_timeLeft` = 0). + */ + int DLLEXPORT EN_stepQ(EN_Project ph, long *out_timeLeft); + + /** + @brief Closes the water quality solver, freeing all of its allocated memory. + @param ph an EPANET project handle. + @return an error code. + + Call ::EN_closeQ after all water quality analyses have been made using the + ::EN_initQ - ::EN_runQ - ::EN_nextQ (or ::EN_stepQ) sequence of function calls. + + Do not call this function if ::EN_solveQ is being used. + */ + int DLLEXPORT EN_closeQ(EN_Project ph); + +/*=================================================================== + + Reporting Functions + +===================================================================*/ + + /** + @brief Sets a user-supplied callback function for reporting + @param ph an EPANET project handle. + @param callback a function pointer used for reporting. + @return an error code. + + The callback function replaces the project's report file as + the destination for all output written by ::EN_writeline. It must have + the following signature: + + `void(void *userData, void *EN_projectHandle p, const char* s)` + + The `userData` parameter is a pointer to a client-side data object. + It can be changed using the ::EN_setreportcallbackuserdata function. + The parameter `s` is a placeholder for the EPANET-generated string + that was passed into ::EN_writeline. Setting the callback function to + NULL reverts to having ::EN_writeline use the project's report file. + */ + int DLLEXPORT EN_setreportcallback(EN_Project ph, void(*callback)(void *userData, void *EN_projectHandle, const char*)); + + /** + @brief Sets a pointer to a client-side data object + @param ph an EPANET project handle. + @param userData a pointer to a client-side data object. + @return an error code. + + The data pointer supplied by this function is passed into the callback + function declared in ::EN_setreportcallback that replaces a project's + report file as the destination for output written with ::EN_writeline. + */ + int DLLEXPORT EN_setreportcallbackuserdata(EN_Project ph, void *userData); + + /** + @brief Writes a line of text to a project's report file. + @param ph an EPANET project handle. + @param line a text string to write. + @return an error code. + + ::EN_setreportcallback can be used to assign an alternative destination + to write `line` to in place of the project's report file. + */ + int DLLEXPORT EN_writeline(EN_Project ph, const char *line); + + /** + @brief Writes simulation results in a tabular format to a project's report file. + @param ph an EPANET project handle. + @return an error code + + Either a full hydraulic analysis or full hydraulic and water quality analysis must + have been run, with results saved to file, before ::EN_report is called. In the + former case, ::EN_saveH must also be called first to transfer results from the + project's intermediate hydraulics file to its output file. + + The format of the report is controlled by commands issued with ::EN_setreport. + */ + int DLLEXPORT EN_report(EN_Project ph); + + /** + @brief Copies the current contents of a project's report file to another file. + @param ph an EPANET project handle. + @param filename the full path name of the destination file. + @return an error code. + + This function allows toolkit clients to retrieve the contents of a project's + report file while the project is still open. + */ + int DLLEXPORT EN_copyreport(EN_Project ph, const char *filename); + + /** + @brief Clears the contents of a project's report file. + @param ph an EPANET project handle. + @return an error code. + */ + int DLLEXPORT EN_clearreport(EN_Project ph); + + /** + @brief Resets a project's report options to their default values. + @param ph an EPANET project handle. + @return an error code + + After calling this function the default reporting options are in effect. These are: + - no status report + - no energy report + - no nodes reported on + - no links reported on + - node variables reported to 2 decimal places + - link variables reported to 2 decimal places (3 for friction factor) + - node variables reported are elevation, head, pressure, and quality + - link variables reported are flow, velocity, and head loss. + */ + int DLLEXPORT EN_resetreport(EN_Project ph); + + /** + @brief Processes a reporting format command. + @param ph an EPANET project handle. + @param format a report formatting command. + @return an error code + + Acceptable report formatting commands are described in the @ref ReportPage section of + the @ref InpFile topic. + + Formatted results of a simulation can be written to a project's report file + using the ::EN_report function. + */ + int DLLEXPORT EN_setreport(EN_Project ph, const char *format); + + /** + @brief Sets the level of hydraulic status reporting. + @param ph an EPANET project handle. + @param level a status reporting level code (see @ref EN_StatusReport). + @return an error code. + + Status reporting writes changes in the hydraulics status of network elements to a + project's report file as a hydraulic simulation unfolds. There are three levels + of reporting: `EN_NO_REPORT` (no status reporting), `EN_NORMAL_REPORT` (normal + reporting) `EN_FULL_REPORT` (full status reporting). + + The full status report contains information at each trial of the solution to the + system hydraulic equations at each time step of a simulation. It is useful mainly + for debugging purposes. + + If many hydraulic analyses will be run in the application it is recommended that + status reporting be turned off (`level` = `EN_NO_REPORT`). + */ + int DLLEXPORT EN_setstatusreport(EN_Project ph, int level); + + /** + @brief Retrieves the toolkit API version number. + @param[out] out_version the version of the OWA-EPANET toolkit. + @return an error code. + + The version number is to be interpreted with implied decimals, i.e., + "20100" == "2(.)01(.)00" + */ + int DLLEXPORT EN_getversion(int *out_version); + + /** + @brief Returns the text of an error message generated by an error code. + @param errcode an error code. + @param[out] out_errmsg the error message generated by the error code + @param maxLen maximum number of characters that errmsg can hold + @return an error code + + Error message strings should be greater than @ref EN_SizeLimits "EN_MAXMSG" characters in length. + */ + int DLLEXPORT EN_geterror(int errcode, char *out_errmsg, int maxLen); + + /** + @brief Retrieves a particular simulation statistic. + @param ph an EPANET project handle. + @param type the type of statistic to retrieve (see @ref EN_AnalysisStatistic). + @param[out] out_value the value of the statistic. + @return an error code + */ + int DLLEXPORT EN_getstatistic(EN_Project ph, int type, double* out_value); + + + /** + @brief Gets information about when the next hydraulic time step occurs. + @param ph an EPANET project handle. + @param[out] eventType the type of event that will occur (see @ref EN_TimestepEvent). + @param[out] duration the amount of time in the future this event will occur + @param[out] elementIndex the index of the element causing the event. + **/ + int DLLEXPORT EN_timetonextevent(EN_Project ph, int *eventType, long *duration, int *elementIndex); + + /** + @brief Retrieves the order in which a node or link appears in an @ref OutFile "output file". + @param ph an EPANET project handle. + @param type a type of element (either @ref EN_NODE or @ref EN_LINK). + @param index the element's current index (starting from 1). + @param[out] out_value the order in which the element's results were written to file. + @return an error code. + + If the element does not appear in the file then its result index is 0. + + This function can be used to correctly retrieve results from an EPANET binary output file + after the order of nodes or links in a network's database has been changed due to editing + operations. + */ + int DLLEXPORT EN_getresultindex(EN_Project ph, int type, int index, int *out_value); + +/*=================================================================== + + Analysis Options Functions + +===================================================================*/ + + /** + @brief Retrieves the value of an analysis option. + @param ph an EPANET project handle. + @param option a type of analysis option (see @ref EN_Option). + @param[out] out_value the current value of the option. + @return an error code + */ + int DLLEXPORT EN_getoption(EN_Project ph, int option, double *out_value); + + /** + @brief Sets the value for an analysis option. + @param ph an EPANET project handle. + @param option a type of analysis option (see @ref EN_Option). + @param value the new value assigned to the option. + @return an error code. + @see EN_Option + */ + int DLLEXPORT EN_setoption(EN_Project ph, int option, double value); + + /** + @brief Retrieves a project's flow units. + @param ph an EPANET project handle. + @param[out] out_units a flow units code (see @ref EN_FlowUnits) + @return an error code. + + Flow units in liters or cubic meters implies that SI metric units are used for all + other quantities in addition to flow. Otherwise US Customary units are employed. + */ + int DLLEXPORT EN_getflowunits(EN_Project ph, int *out_units); + + /** + @brief Sets a project's flow units. + @param ph an EPANET project handle. + @param units a flow units code (see @ref EN_FlowUnits) + @return an error code. + + Flow units in liters or cubic meters implies that SI metric units are used for all + other quantities in addition to flow. Otherwise US Customary units are employed. + */ + int DLLEXPORT EN_setflowunits(EN_Project ph, int units); + + /** + @brief Retrieves the value of a time parameter. + @param ph an EPANET project handle. + @param param a time parameter code (see @ref EN_TimeParameter). + @param[out] out_value the current value of the time parameter (in seconds). + @return an error code. + */ + int DLLEXPORT EN_gettimeparam(EN_Project ph, int param, long *out_value); + + /** + @brief Sets the value of a time parameter. + @param ph an EPANET project handle. + @param param a time parameter code (see @ref EN_TimeParameter). + @param value the new value of the time parameter (in seconds) + @return an error code. + */ + int DLLEXPORT EN_settimeparam(EN_Project ph, int param, long value); + + /** + @brief Gets information about the type of water quality analysis requested. + @param ph an EPANET project handle. + @param[out] out_qualType type of analysis to run (see @ref EN_QualityType). + @param[out] out_chemName name of chemical constituent. + @param[out] out_chemUnits concentration units of the constituent. + @param[out] out_traceNode index of the node being traced (if applicable). + @return an error code. + */ + int DLLEXPORT EN_getqualinfo(EN_Project ph, int *out_qualType, char *out_chemName, + char *out_chemUnits, int *out_traceNode); + + /** + @brief Retrieves the type of water quality analysis to be run. + @param ph an EPANET project handle. + @param[out] out_qualType the type of analysis to run (see @ref EN_QualityType). + @param[out] out_traceNode the index of node being traced if `out_qualType` = `EN_TRACE`. + @return an error code. + */ + int DLLEXPORT EN_getqualtype(EN_Project ph, int *out_qualType, int *out_traceNode); + + /** + @brief Sets the type of water quality analysis to run. + @param ph an EPANET project handle. + @param qualType the type of analysis to run (see @ref EN_QualityType). + @param chemName the name of the quality constituent. + @param chemUnits the concentration units of the constituent. + @param traceNode the ID name of the node being traced if `qualType` = `EN_TRACE`. + @return an error code. + + Chemical name and units can be an empty string if the analysis is not for a chemical. + The same holds for the trace node if the analysis is not for source tracing. + + Note that the trace node is specified by ID name and not by index. + */ + int DLLEXPORT EN_setqualtype(EN_Project ph, int qualType, const char *chemName, + const char *chemUnits, const char *traceNode); + +/*=================================================================== + + Node Functions + +===================================================================*/ + + /** + @brief Adds a new node to a project. + @param ph an EPANET project handle. + @param id the ID name of the node to be added. + @param nodeType the type of node being added (see @ref EN_NodeType) + @param[out] out_index the index of the newly added node + @return an error code. + + When a new node is created all of its properties (see @ref EN_NodeProperty) are set to 0. + */ + int DLLEXPORT EN_addnode(EN_Project ph, const char *id, int nodeType, int *out_index); + + /** + @brief Deletes a node from a project. + @param ph an EPANET project handle. + @param index the index of the node to be deleted. + @param actionCode the action taken if any control contains the node and its links. + @return an error code. + + If `actionCode` is `EN_UNCONDITIONAL` then the node, its incident links and all + simple and rule-based controls that contain them are deleted. If set to + `EN_CONDITIONAL` then the node is not deleted if it or its incident links appear + in any controls and error code 261 is returned. + + */ + int DLLEXPORT EN_deletenode(EN_Project ph, int index, int actionCode); + + /** + @brief Gets the index of a node given its ID name. + @param ph an EPANET project handle. + @param id a node ID name. + @param[out] out_index the node's index (starting from 1). + @return an error code + */ + int DLLEXPORT EN_getnodeindex(EN_Project ph, const char *id, int *out_index); + + /** + @brief Gets the ID name of a node given its index. + @param ph an EPANET project handle. + @param index a node's index (starting from 1). + @param[out] out_id the node's ID name. + @return an error code + + The ID name must be sized to hold at least @ref EN_SizeLimits "EN_MAXID+1" characters. + */ + int DLLEXPORT EN_getnodeid(EN_Project ph, int index, char *out_id); + + /** + @brief Changes the ID name of a node. + @param ph an EPANET project handle. + @param index a node's index (starting from 1). + @param newid the new ID name for the node. + @return an error code. + + The ID name must not be longer than @ref EN_SizeLimits "EN_MAXID" characters. + */ + int DLLEXPORT EN_setnodeid(EN_Project ph, int index, const char *newid); + + /** + @brief Retrieves a node's type given its index. + @param ph an EPANET project handle. + @param index a node's index (starting from 1). + @param[out] out_nodeType the node's type (see @ref EN_NodeType). + @return an error code. + */ + int DLLEXPORT EN_getnodetype(EN_Project ph, int index, int *out_nodeType); + + /** + @brief Retrieves a property value for a node. + @param ph an EPANET project handle. + @param index a node's index. + @param property the property to retrieve (see @ref EN_NodeProperty). + @param[out] out_value the current value of the property. + @return an error code. + + Values are returned in units that depend on the units used for flow rate + (see @ref Units). + */ + + int DLLEXPORT EN_getnodevalue(EN_Project ph, int index, int property, double *out_value); + + /** + @brief Retrieves an array of property values for all nodes. + @param ph an EPANET project handle. + @param property the property to retrieve (see @ref EN_NodeProperty). + @param[out] out_values an array of values for all nodes. + @return an error code. + + Values are returned in units that depend on the units used for flow rate + (see @ref Units). + */ + + int DLLEXPORT EN_getnodevalues(EN_Project ph, int property, double *out_values); + + /** + @brief Sets a property value for a node. + @param ph an EPANET project handle. + @param index a node's index (starting from 1). + @param property the property to set (see @ref EN_NodeProperty). + @param value the new value for the property. + @return an error code. + + Values are in units that depend on the units used for flow rate (see @ref Units). + */ + int DLLEXPORT EN_setnodevalue(EN_Project ph, int index, int property, double value); + + /** + @brief Sets a group of properties for a junction node. + @param ph an EPANET project handle. + @param index a junction node's index (starting from 1). + @param elev the value of the junction's elevation. + @param dmnd the value of the junction's primary base demand. + @param dmndpat the ID name of the demand's time pattern ("" for no pattern) + @return an error code. + + These properties have units that depend on the units used for flow rate (see @ref Units). + */ + int DLLEXPORT EN_setjuncdata(EN_Project ph, int index, double elev, double dmnd, + const char *dmndpat); + + /** + @brief Sets a group of properties for a tank node. + @param ph an EPANET project handle. + @param index a tank node's index (starting from 1). + @param elev the tank's bottom elevation. + @param initlvl the initial water level in the tank. + @param minlvl the minimum water level for the tank. + @param maxlvl the maximum water level for the tank. + @param diam the tank's diameter (0 if a volume curve is supplied). + @param minvol the volume of the tank at its minimum water level. + @param volcurve the name of the tank's volume curve ("" for no curve) + @return an error code. + + These properties have units that depend on the units used for flow rate (see @ref Units). + */ + int DLLEXPORT EN_settankdata(EN_Project ph, int index, double elev, double initlvl, + double minlvl, double maxlvl, double diam, double minvol, const char *volcurve); + + /** + @brief Gets the (x,y) coordinates of a node. + @param ph an EPANET project handle. + @param index a node index (starting from 1). + @param[out] out_x the node's X-coordinate value. + @param[out] out_y the node's Y-coordinate value. + @return an error code. + */ + int DLLEXPORT EN_getcoord(EN_Project ph, int index, double *out_x, double *out_y); + + /** + @brief Sets the (x,y) coordinates of a node. + @param ph an EPANET project handle. + @param index a node index (starting from 1). + @param x the node's X-coordinate value. + @param y the node's Y-coordinate value. + @return an error code. + */ + int DLLEXPORT EN_setcoord(EN_Project ph, int index, double x, double y); + +/*=================================================================== + + Nodal Demand Functions + +===================================================================*/ + + /** + @brief Retrieves the type of demand model in use and its parameters. + @param ph an EPANET project handle. + @param[out] out_type Type of demand model (see @ref EN_DemandModel). + @param[out] out_pmin Pressure below which there is no demand. + @param[out] out_preq Pressure required to deliver full demand. + @param[out] out_pexp Pressure exponent in demand function. + @return an error code. + + Parameters `out_pmin`, `out_preq`, and `out_pexp` are only used when the demand model is `EN_PDA`. + */ + int DLLEXPORT EN_getdemandmodel(EN_Project ph, int *out_type, double *out_pmin, + double *out_preq, double *out_pexp); + + /** + @brief Sets the type of demand model to use and its parameters. + @param ph an EPANET project handle. + @param type Type of demand model (see @ref EN_DemandModel). + @param pmin Pressure below which there is no demand. + @param preq Pressure required to deliver full demand. + @param pexp Pressure exponent in demand function. + @return an error code. + + Set `type` to `EN_DDA` for a traditional demand driven analysis (in which case the + remaining three parameter values are ignored) or to `EN_PDA` for a pressure driven + analysis. In the latter case a node's demand is 0 when pressure is below `pmin`, is at full demand when pressure is above `preq`, or is otherwise computed as:\n + `Dfull * [ (P - pmin) / (preq - pmin) ] ^ pexp`\n + where `Dfull` is the full demand and `P` is the current pressure. + + A valid value for `preq` must be at least 0.1 pressure units larger than `pmin`. + */ + int DLLEXPORT EN_setdemandmodel(EN_Project ph, int type, double pmin, + double preq, double pexp); + + + /** + @brief appends a new demand to a junction node demands list. + @param ph an EPANET project handle. + @param nodeIndex the index of a node (starting from 1). + @param baseDemand the demand's base value. + @param demandPattern the name of a time pattern used by the demand + @param demandName the name of the demand's category + @return an error code. + + A NULL or blank string can be used for `demandPattern` and for `demandName` to indicate + that no time pattern or category name is associated with the demand. + */ + int DLLEXPORT EN_adddemand(EN_Project ph, int nodeIndex, double baseDemand, + const char *demandPattern, const char *demandName); + + /** + @brief deletes a demand from a junction node. + @param ph an EPANET project handle. + @param nodeIndex the index of a node (starting from 1). + @param demandIndex the position of the demand in the node's demands list (starting from 1). + @return an error code. + */ + int DLLEXPORT EN_deletedemand(EN_Project ph, int nodeIndex, int demandIndex); + + /** + @brief Retrieves the index of a node's named demand category + @param ph an EPANET project handle. + @param nodeIndex the index of a node (starting from 1) + @param demandName the name of a demand category for the node + @param[out] out_demandIndex the index of the demand being sought + @return an error code + */ + int DLLEXPORT EN_getdemandindex(EN_Project ph, int nodeIndex, const char *demandName, + int *out_demandIndex); + + /** + @brief Retrieves the number of demand categories for a junction node. + @param ph an EPANET project handle. + @param nodeIndex the index of a node (starting from 1). + @param[out] out_numDemands the number of demand categories assigned to the node. + @return an error code. + */ + int DLLEXPORT EN_getnumdemands(EN_Project ph, int nodeIndex, int *out_numDemands); + + /** + @brief Gets the base demand for one of a node's demand categories. + @param ph an EPANET project handle. + @param nodeIndex a node's index (starting from 1). + @param demandIndex the index of a demand category for the node (starting from 1). + @param[out] out_baseDemand the category's base demand. + @return an error code. + */ + int DLLEXPORT EN_getbasedemand(EN_Project ph, int nodeIndex, int demandIndex, + double *out_baseDemand); + + /** + @brief Sets the base demand for one of a node's demand categories. + @param ph an EPANET project handle. + @param nodeIndex a node's index (starting from 1). + @param demandIndex the index of a demand category for the node (starting from 1). + @param baseDemand the new base demand for the category. + @return an error code. + */ + int DLLEXPORT EN_setbasedemand(EN_Project ph, int nodeIndex, int demandIndex, + double baseDemand); + + /** + @brief Retrieves the index of a time pattern assigned to one of a node's demand categories. + @param ph an EPANET project handle. + @param nodeIndex the node's index (starting from 1). + @param demandIndex the index of a demand category for the node (starting from 1). + @param[out] out_patIndex the index of the category's time pattern. + @return an error code. + + A returned pattern index of 0 indicates that no time pattern has been assigned to the + demand category. + */ + int DLLEXPORT EN_getdemandpattern(EN_Project ph, int nodeIndex, int demandIndex, + int *out_patIndex); + + /** + @brief Sets the index of a time pattern used for one of a node's demand categories. + @param ph an EPANET project handle. + @param nodeIndex a node's index (starting from 1). + @param demandIndex the index of one of the node's demand categories (starting from 1). + @param patIndex the index of the time pattern assigned to the category. + @return an error code. + + Specifying a pattern index of 0 indicates that no time pattern is assigned to the + demand category. + */ + int DLLEXPORT EN_setdemandpattern(EN_Project ph, int nodeIndex, int demandIndex, int patIndex); + + /** + @brief Retrieves the name of a node's demand category. + @param ph an EPANET project handle. + @param nodeIndex a node's index (starting from 1). + @param demandIndex the index of one of the node's demand categories (starting from 1). + @param[out] out_demandName The name of the selected category. + @return an error code. + + `out_demandName` must be sized to contain at least @ref EN_SizeLimits "EN_MAXID+1" characters. + */ + int DLLEXPORT EN_getdemandname(EN_Project ph, int nodeIndex, int demandIndex, char *out_demandName); + + /** + @brief Assigns a name to a node's demand category. + @param ph an EPANET project handle. + @param nodeIndex a node's index (starting from 1). + @param demandIdx the index of one of the node's demand categories (starting from 1). + @param demandName the new name assigned to the category. + @return an error code. + + The category name must contain no more than @ref EN_SizeLimits "EN_MAXID" characters. + */ + int DLLEXPORT EN_setdemandname(EN_Project ph, int nodeIndex, int demandIdx, + const char *demandName); + +/*=================================================================== + + Link Functions + +===================================================================*/ + + /** + @brief Adds a new link to a project. + @param ph an EPANET project handle. + @param id the ID name of the link to be added. + @param linkType The type of link being added (see @ref EN_LinkType) + @param fromNode The ID name of the link's starting node. + @param toNode The ID name of the link's ending node. + @param[out] out_index the index of the newly added link. + @return an error code. + + A new pipe is assigned a diameter of 10 inches (254 mm) and a length of 330 + feet (~ 100 meters). Its roughness coefficient depends on the head loss formula in effect (see @ref EN_HeadLossType) as follows: + - Hazen-Williams formula: 130 + - Darcy-Weisbach formula: 0.5 millifeet (0.15 mm) + - Chezy-Manning formula: 0.01 + + All other pipe properties are set to 0. + + A new pump has a status of `EN_OPEN`, a speed setting of 1, and has no pump + curve or power rating assigned to it. + + A new valve has a diameter of 10 inches (254 mm) and all other properties set to 0. + + See @ref EN_LinkProperty. + */ + int DLLEXPORT EN_addlink(EN_Project ph, const char *id, int linkType, const char *fromNode, + const char *toNode, int *out_index); + + /** + @brief Deletes a link from the project. + @param ph an EPANET project handle. + @param index the index of the link to be deleted. + @param actionCode The action taken if any control contains the link. + @return an error code. + + If `actionCode` is `EN_UNCONDITIONAL` then the link and all simple and rule-based + controls that contain it are deleted. If set to `EN_CONDITIONAL` then the link + is not deleted if it appears in any control and error 261 is returned. + */ + int DLLEXPORT EN_deletelink(EN_Project ph, int index, int actionCode); + + /** + @brief Gets the index of a link given its ID name. + @param ph an EPANET project handle. + @param id a link's ID name. + @param[out] out_index the link's index (starting from 1). + @return an error code. + */ + int DLLEXPORT EN_getlinkindex(EN_Project ph, const char *id, int *out_index); + + /** + @brief Gets the ID name of a link given its index. + @param ph an EPANET project handle. + @param index a link's index (starting from 1). + @param[out] out_id The link's ID name. + @return an error code. + + The ID name must be sized to hold at least @ref EN_SizeLimits "EN_MAXID+1" characters. + */ + int DLLEXPORT EN_getlinkid(EN_Project ph, int index, char *out_id); + + /** + @brief Changes the ID name of a link. + @param ph an EPANET project handle. + @param index a link's index (starting from 1). + @param newid the new ID name for the link. + @return an error code. + + The ID name must not be longer than @ref EN_SizeLimits "EN_MAXID" characters. + */ + int DLLEXPORT EN_setlinkid(EN_Project ph, int index, const char *newid); + + /** + @brief Retrieves a link's type. + @param ph an EPANET project handle. + @param index a link's index (starting from 1). + @param[out] out_linkType the link's type (see @ref EN_LinkType). + @return an error code. + */ + int DLLEXPORT EN_getlinktype(EN_Project ph, int index, int *out_linkType); + + /** + @brief Changes a link's type. + @param ph an EPANET project handle. + @param[in,out] inout_index the link's index before [in] and after [out] the type change. + @param linkType the new type to change the link to (see @ref EN_LinkType). + @param actionCode the action taken if any controls contain the link. + @return an error code. + + If `actionCode` is `EN_UNCONDITIONAL` then all simple and rule-based controls that + contain the link are deleted when the link's type is changed. If set to + `EN_CONDITIONAL` then the type change is cancelled if the link appears in any + control and error 261 is returned. + + To only change a valve's type (such as from PRV to PSV) use ::EN_setlinkvalue with property `EN_VALVE_TYPE` whose value is selected from the valves in @ref EN_LinkType. + */ + int DLLEXPORT EN_setlinktype(EN_Project ph, int *inout_index, int linkType, int actionCode); + + /** + @brief Gets the indexes of a link's start- and end-nodes. + @param ph an EPANET project handle. + @param index a link's index (starting from 1). + @param[out] out_node1 the index of the link's start node (starting from 1). + @param[out] out_node2 the index of the link's end node (starting from 1). + @return an error code. + */ + int DLLEXPORT EN_getlinknodes(EN_Project ph, int index, int *out_node1, int *out_node2); + + /** + @brief Sets the indexes of a link's start- and end-nodes. + @param ph an EPANET project handle. + @param index a link's index (starting from 1). + @param node1 The index of the link's start node (starting from 1). + @param node2 The index of the link's end node (starting from 1). + @return an error code. + */ + int DLLEXPORT EN_setlinknodes(EN_Project ph, int index, int node1, int node2); + + /** + @brief Retrieves a property value for a link. + @param ph an EPANET project handle. + @param index a link's index (starting from 1). + @param property the property to retrieve (see @ref EN_LinkProperty). + @param[out] out_value the current value of the property. + @return an error code. + + Values are returned in units that depend on the units used for flow rate (see @ref Units). + */ + int DLLEXPORT EN_getlinkvalue(EN_Project ph, int index, int property, double *out_value); + + /** + @brief Retrieves an array of property values for all links. + @param ph an EPANET project handle. + @param property the property to retrieve (see @ref EN_LinkProperty). + @param[out] out_values an array of values for all links. + @return an error code. + + Values are returned in units that depend on the units used for flow rate (see @ref Units). + */ + int DLLEXPORT EN_getlinkvalues(EN_Project ph, int property, double *out_values); + + /** + @brief Sets a property value for a link. + @param ph an EPANET project handle. + @param index a link's index. + @param property the property to set (see @ref EN_LinkProperty). + @param value the new value for the property. + @return an error code. + + Values are in units that depend on the units used for flow rate (see @ref Units). + */ + int DLLEXPORT EN_setlinkvalue(EN_Project ph, int index, int property, double value); + + /** + @brief Sets a group of properties for a pipe link. + @param ph an EPANET project handle. + @param index the index of a pipe link (starting from 1). + @param length the pipe's length. + @param diam the pipe's diameter. + @param rough the pipe's roughness coefficient. + @param mloss the pipe's minor loss coefficient. + @return an error code. + + These properties have units that depend on the units used for flow rate (see @ref Units). + */ + int DLLEXPORT EN_setpipedata(EN_Project ph, int index, double length, double diam, + double rough, double mloss); + + /** + @brief Retrieves the number of internal vertex points assigned to a link. + @param ph an EPANET project handle. + @param index a link's index (starting from 1). + @param[out] out_count the number of vertex points that describe the link's shape. + @return an error code. + */ + int DLLEXPORT EN_getvertexcount(EN_Project ph, int index, int *out_count); + + /** + @brief Retrieves the coordinates of a vertex point assigned to a link. + @param ph an EPANET project handle. + @param index a link's index (starting from 1). + @param vertex a vertex point index (starting from 1). + @param[out] out_x the vertex's X-coordinate value. + @param[out] out_y the vertex's Y-coordinate value. + @return an error code. + */ + int DLLEXPORT EN_getvertex(EN_Project ph, int index, int vertex, double *out_x, double *out_y); + + /** + @brief Sets the coordinates of a vertex point assigned to a link. + @param ph an EPANET project handle. + @param index a link's index (starting from 1). + @param vertex a vertex point index (starting from 1). + @param x the vertex's X-coordinate value. + @param y the vertex's Y-coordinate value. + @return an error code. + */ + int DLLEXPORT EN_setvertex(EN_Project ph, int index, int vertex, double x, double y); + + /** + @brief Assigns a set of internal vertex points to a link. + @param ph an EPANET project handle. + @param index a link's index (starting from 1). + @param x an array of X-coordinates for the vertex points. + @param y an array of Y-coordinates for the vertex points. + @param count the number of vertex points being assigned. + @return an error code. + + Replaces any existing vertices previously assigned to the link. + */ + int DLLEXPORT EN_setvertices(EN_Project ph, int index, double *x, double *y, int count); + +/*=================================================================== + + Pump Functions + +===================================================================*/ + + /** + @brief Retrieves the type of head curve used by a pump. + @param ph an EPANET project handle. + @param linkIndex the index of a pump link (starting from 1). + @param[out] out_pumpType the type of head curve used by the pump (see @ref EN_PumpType). + @return an error code. + */ + int DLLEXPORT EN_getpumptype(EN_Project ph, int linkIndex, int *out_pumpType); + + /** + @brief Retrieves the curve assigned to a pump's head curve. + @param ph an EPANET project handle. + @param linkIndex the index of a pump link (starting from 1). + @param[out] out_curveIndex the index of the curve assigned to the pump's head curve. + @return an error code. + */ + int DLLEXPORT EN_getheadcurveindex(EN_Project ph, int linkIndex, int *out_curveIndex); + + /** + @brief Assigns a curve to a pump's head curve. + @param ph an EPANET project handle. + @param linkIndex the index of a pump link (starting from 1). + @param curveIndex the index of a curve to be assigned as the pump's head curve. + @return an error code. + */ + int DLLEXPORT EN_setheadcurveindex(EN_Project ph, int linkIndex, int curveIndex); + +/*=================================================================== + + Time Pattern Functions + +===================================================================*/ + + /** + @brief Adds a new time pattern to a project. + @param ph an EPANET project handle. + @param id the ID name of the pattern to add. + @return an error code. + + The new pattern contains a single time period whose factor is 1.0. + */ + int DLLEXPORT EN_addpattern(EN_Project ph, const char *id); + + /** + @brief Deletes a time pattern from a project. + @param ph an EPANET project handle. + @param index the time pattern's index (starting from 1). + @return an error code. + */ + int DLLEXPORT EN_deletepattern(EN_Project ph, int index); + + /** + @brief Retrieves the index of a time pattern given its ID name. + @param ph an EPANET project handle. + @param id the ID name of a time pattern. + @param[out] out_index the time pattern's index (starting from 1). + @return an error code. + */ + int DLLEXPORT EN_getpatternindex(EN_Project ph, const char *id, int *out_index); + + /** + @brief Retrieves the ID name of a time pattern given its index. + @param ph an EPANET project handle. + @param index a time pattern index (starting from 1). + @param[out] out_id the time pattern's ID name. + @return an error code. + + The ID name must be sized to hold at least @ref EN_SizeLimits "EN_MAXID+1" characters. + */ + int DLLEXPORT EN_getpatternid(EN_Project ph, int index, char *out_id); + + /** + @brief Changes the ID name of a time pattern given its index. + @param ph an EPANET project handle. + @param index a time pattern index (starting from 1). + @param id the time pattern's new ID name. + @return an error code. + + The new ID name must not exceed @ref EN_SizeLimits "EN_MAXID" characters. + */ + int DLLEXPORT EN_setpatternid(EN_Project ph, int index, const char *id); + + /** + @brief Retrieves the number of time periods in a time pattern. + @param ph an EPANET project handle. + @param index a time pattern index (starting from 1). + @param[out] out_len the number of time periods in the pattern. + @return an error code. + */ + int DLLEXPORT EN_getpatternlen(EN_Project ph, int index, int *out_len); + + /** + @brief Retrieves a time pattern's factor for a given time period. + @param ph an EPANET project handle. + @param index a time pattern index (starting from 1). + @param period a time period in the pattern (starting from 1). + @param[out] out_value the pattern factor for the given time period. + @return an error code. + */ + int DLLEXPORT EN_getpatternvalue(EN_Project ph, int index, int period, double *out_value); + + /** + @brief Sets a time pattern's factor for a given time period. + @param ph an EPANET project handle. + @param index a time pattern index (starting from 1). + @param period a time period in the pattern (starting from 1). + @param value the new value of the pattern factor for the given time period. + @return an error code. + */ + int DLLEXPORT EN_setpatternvalue(EN_Project ph, int index, int period, double value); + + /** + @brief Retrieves the average of all pattern factors in a time pattern. + @param ph an EPANET project handle. + @param index a time pattern index (starting from 1). + @param[out] out_value The average of all of the time pattern's factors. + @return an error code. + */ + int DLLEXPORT EN_getaveragepatternvalue(EN_Project ph, int index, double *out_value); + + /** + @brief Sets the pattern factors for a given time pattern. + @param ph an EPANET project handle. + @param index a time pattern index (starting from 1). + @param values an array of new pattern factor values. + @param len the number of factor values supplied. + @return an error code. + + `values` is a zero-based array that contains `len` elements. + + Use this function to redefine (and resize) a time pattern all at once; + use @ref EN_setpatternvalue to revise pattern factors one at a time. + */ + int DLLEXPORT EN_setpattern(EN_Project ph, int index, double *values, int len); + + /** + @brief Loads time patterns from a file into a project under a specific pattern ID. + @param ph an EPANET project handle. + @param filename the name of the file containing pattern data. + @param id the ID name of the new pattern to load. + @return an error code. + */ + int DLLEXPORT EN_loadpatternfile(EN_Project ph, const char *filename, const char *id); + +/*=================================================================== + + Data Curve Functions + +===================================================================*/ + + /** + @brief Adds a new data curve to a project. + @param ph an EPANET project handle. + @param id The ID name of the curve to be added. + @return an error code. + + The new curve contains a single data point (1.0, 1.0). + */ + int DLLEXPORT EN_addcurve(EN_Project ph, const char *id); + + /** + @brief Deletes a data curve from a project. + @param ph an EPANET project handle. + @param index the data curve's index (starting from 1). + @return an error code. + */ + int DLLEXPORT EN_deletecurve(EN_Project ph, int index); + + /** + @brief Retrieves the index of a curve given its ID name. + @param ph an EPANET project handle. + @param id the ID name of a curve. + @param[out] out_index The curve's index (starting from 1). + @return an error code. + */ + int DLLEXPORT EN_getcurveindex(EN_Project ph, const char *id, int *out_index); + + /** + @brief Retrieves the ID name of a curve given its index. + @param ph an EPANET project handle. + @param index a curve's index (starting from 1). + @param[out] out_id the curve's ID name. + @return an error code. + + The ID name must be sized to hold at least @ref EN_SizeLimits "EN_MAXID+1" characters. + */ + int DLLEXPORT EN_getcurveid(EN_Project ph, int index, char *out_id); + + /** + @brief Changes the ID name of a data curve given its index. + @param ph an EPANET project handle. + @param index a data curve index (starting from 1). + @param id the data curve's new ID name. + @return an error code. + + The new ID name must not exceed @ref EN_SizeLimits "EN_MAXID" characters. + */ + int DLLEXPORT EN_setcurveid(EN_Project ph, int index, const char *id); + + /** + @brief Retrieves the number of points in a curve. + @param ph an EPANET project handle. + @param index a curve's index (starting from 1). + @param[out] out_len The number of data points assigned to the curve. + @return an error code. + */ + int DLLEXPORT EN_getcurvelen(EN_Project ph, int index, int *out_len); + + /** + @brief Retrieves a curve's type. + @param ph an EPANET project handle. + @param index a curve's index (starting from 1). + @param[out] out_type the curve's type (see @ref EN_CurveType). + @return an error code. + */ + int DLLEXPORT EN_getcurvetype(EN_Project ph, int index, int *out_type); + + /** + @brief Sets a curve's type. + @param ph an EPANET project handle. + @param index a curve's index (starting from 1). + @param type the curve's type (see @ref EN_CurveType). + @return an error code. + */ + int DLLEXPORT EN_setcurvetype(EN_Project ph, int index, int type); + + /** + @brief Retrieves the value of a single data point for a curve. + @param ph an EPANET project handle. + @param curveIndex a curve's index (starting from 1). + @param pointIndex the index of a point on the curve (starting from 1). + @param[out] out_x the point's x-value. + @param[out] out_y the point's y-value. + @return an error code. + */ + int DLLEXPORT EN_getcurvevalue(EN_Project ph, int curveIndex, int pointIndex, + double *out_x, double *out_y); + + /** + @brief Sets the value of a single data point for a curve. + @param ph an EPANET project handle. + @param curveIndex a curve's index (starting from 1). + @param pointIndex the index of a point on the curve (starting from 1). + @param x the point's new x-value. + @param y the point's new y-value. + @return an error code. + */ + int DLLEXPORT EN_setcurvevalue(EN_Project ph, int curveIndex, int pointIndex, + double x, double y); + + /** + @brief Retrieves all of a curve's data. + @param ph an EPANET project handle. + @param index a curve's index (starting from 1). + @param[out] out_id the curve's ID name. + @param[out] out_nPoints the number of data points on the curve. + @param[out] out_xValues the curve's x-values. + @param[out] out_yValues the curve's y-values. + @return an error code. + + The calling program is responsible for making `out_xValues` and `out_yValues` large enough + to hold `out_nPoints` number of data points and for sizing `out_id` to hold at least + @ref EN_SizeLimits "EN_MAXID+1" characters. + */ + int DLLEXPORT EN_getcurve(EN_Project ph, int index, char *out_id, int *out_nPoints, + double *out_xValues, double *out_yValues); + + /** + @brief assigns a set of data points to a curve. + @param ph an EPANET project handle. + @param index a curve's index (starting from 1). + @param xValues an array of new x-values for the curve. + @param yValues an array of new y-values for the curve. + @param nPoints the new number of data points for the curve. + @return an error code. + + `xValues` and `yValues` are zero-based arrays that contains `nPoints` elements. + + Use this function to redefine (and resize) a curve all at once; + use @ref EN_setcurvevalue to revise a curve's data points one at a time. + */ + int DLLEXPORT EN_setcurve(EN_Project ph, int index, double *xValues, + double *yValues, int nPoints); + +/*=================================================================== + + Simple Controls Functions + +===================================================================*/ + + /** + @brief Adds a new simple control to a project. + @param ph an EPANET project handle. + @param type the type of control to add (see @ref EN_ControlType). + @param linkIndex the index of a link to control (starting from 1). + @param setting control setting applied to the link. + @param nodeIndex index of the node used to control the link + (0 for `EN_TIMER` and `EN_TIMEOFDAY` controls). + @param level action level (tank level, junction pressure, or time in seconds) + that triggers the control. + @param[out] out_index index of the new control. + @return an error code. + */ + int DLLEXPORT EN_addcontrol(EN_Project ph, int type, int linkIndex, + double setting, int nodeIndex, double level, int *out_index); + + /** + @brief Deletes an existing simple control. + @param ph an EPANET project handle. + @param index the index of the control to delete (starting from 1). + @return an error code. + */ + int DLLEXPORT EN_deletecontrol(EN_Project ph, int index); + + /** + @brief Retrieves the properties of a simple control. + @param ph an EPANET project handle. + @param index the control's index (starting from 1). + @param[out] out_type the type of control (see @ref EN_ControlType). + @param[out] out_linkIndex the index of the link being controlled. + @param[out] out_setting the control setting applied to the link. + @param[out] out_nodeIndex the index of the node used to trigger the control + (0 for `EN_TIMER` and `EN_TIMEOFDAY` controls). + @param[out] out_level the action level (tank level, junction pressure, or time in seconds) + that triggers the control. + @return an error code. + */ + int DLLEXPORT EN_getcontrol(EN_Project ph, int index, int *out_type, int *out_linkIndex, + double *out_setting, int *out_nodeIndex, double *out_level); + + /** + @brief Sets the properties of an existing simple control. + @param ph an EPANET project handle. + @param index the control's index (starting from 1). + @param type the type of control (see @ref EN_ControlType). + @param linkIndex the index of the link being controlled. + @param setting the control setting applied to the link. + @param nodeIndex the index of the node used to trigger the control + (0 for `EN_TIMER` and `EN_TIMEOFDAY` controls). + @param level the action level (tank level, junction pressure, or time in seconds) + that triggers the control. + @return an error code. + */ + int DLLEXPORT EN_setcontrol(EN_Project ph, int index, int type, int linkIndex, + double setting, int nodeIndex, double level); + + /** + @brief Gets the enabled status of a simple control. + @param ph an EPANET project handle. + @param index the control's index (starting from 1). + @param out_enabled `EN_TRUE` (= 1) if the control is enabled or `EN_FALSE` (= 0) if it is disabled. + @return an error code. + */ + int DLLEXPORT EN_getcontrolenabled(EN_Project ph, int index, int *out_enabled); + + /** + @brief Sets the enabled status of a simple control. + @param ph an EPANET project handle. + @param index the control's index (starting from 1). + @param enabled `EN_TRUE` (= 1) sets the control to enabled, `EN_FALSE` (= 0) sets it to disabled. + @return an error code. + */ + int DLLEXPORT EN_setcontrolenabled(EN_Project ph, int index, int enabled); + +/*=================================================================== + + Rule-Based Controls Functions + +===================================================================*/ + + /** + @brief Adds a new rule-based control to a project. + @param ph an EPANET project handle. + @param rule text of the rule following the format used in an EPANET input file. + @return an error code. + + Consult the @ref RulesPage section of the @ref InpFile topic to learn about a + rule's format. Each clause of the rule must end with a newline character `\n`. + */ + int DLLEXPORT EN_addrule(EN_Project ph, char *rule); + + /** + @brief Deletes an existing rule-based control. + @param ph an EPANET project handle. + @param index the index of the rule to be deleted (starting from 1). + @return an error code. + */ + int DLLEXPORT EN_deleterule(EN_Project ph, int index); + + /** + @brief Retrieves summary information about a rule-based control. + @param ph an EPANET project handle. + @param index the rule's index (starting from 1). + @param[out] out_nPremises number of premises in the rule's IF section. + @param[out] out_nThenActions number of actions in the rule's THEN section. + @param[out] out_nElseActions number of actions in the rule's ELSE section. + @param[out] out_priority the rule's priority value. + @return an error code. + */ + int DLLEXPORT EN_getrule(EN_Project ph, int index, int *out_nPremises, + int *out_nThenActions, int *out_nElseActions, double *out_priority); + + /** + @brief Gets the ID name of a rule-based control given its index. + @param ph an EPANET project handle. + @param index the rule's index (starting from 1). + @param[out] out_id the rule's ID name. + @return an error code. + + The ID name must be sized to hold at least @ref EN_SizeLimits "EN_MAXID+1" characters. + */ + int DLLEXPORT EN_getruleID(EN_Project ph, int index, char *out_id); + + /** + @brief Gets the properties of a premise in a rule-based control. + @param ph an EPANET project handle. + @param ruleIndex the rule's index (starting from 1). + @param premiseIndex the position of the premise in the rule's list of premises + (starting from 1). + @param[out] out_logop the premise's logical operator (`IF` = 1, `AND` = 2, `OR` = 3` ). + @param[out] out_object the type of object the premise refers to (see @ref EN_RuleObject). + @param[out] out_objIndex the index of the object (e.g. the index of a tank). + @param[out] out_variable the object's variable being compared (see @ref EN_RuleVariable). + @param[out] out_relop the premise's comparison operator (see @ref EN_RuleOperator). + @param[out] out_status the status that the object's status is compared to + (see @ref EN_RuleStatus). + @param[out] out_value the value that the object's variable is compared to. + @return an error code. + */ + int DLLEXPORT EN_getpremise(EN_Project ph, int ruleIndex, int premiseIndex, + int *out_logop, int *out_object, int *out_objIndex, int *out_variable, + int *out_relop, int *out_status, double *out_value); + + /** + @brief Sets the properties of a premise in a rule-based control. + @param ph an EPANET project handle. + @param ruleIndex the rule's index (starting from 1). + @param premiseIndex the position of the premise in the rule's list of premises. + @param logop the premise's logical operator (`IF` = 1, `AND` = 2, `OR` = 3 ). + @param object the type of object the premise refers to (see @ref EN_RuleObject). + @param objIndex the index of the object (e.g. the index of a tank). + @param variable the object's variable being compared (see @ref EN_RuleVariable). + @param relop the premise's comparison operator (see @ref EN_RuleOperator). + @param status the status that the object's status is compared to + (see @ref EN_RuleStatus). + @param value the value that the object's variable is compared to. + @return an error code. + */ + int DLLEXPORT EN_setpremise(EN_Project ph, int ruleIndex, int premiseIndex, + int logop, int object, int objIndex, int variable, int relop, + int status, double value); + + /** + @brief Sets the index of an object in a premise of a rule-based control. + @param ph an EPANET project handle. + @param ruleIndex the rule's index (starting from 1). + @param premiseIndex the premise's index (starting from 1). + @param objIndex the index of the premise's object (e.g. the index of a tank). + @return an error code. + */ + int DLLEXPORT EN_setpremiseindex(EN_Project ph, int ruleIndex, int premiseIndex, + int objIndex); + + /** + @brief Sets the status being compared to in a premise of a rule-based control. + @param ph an EPANET project handle. + @param ruleIndex the rule's index (starting from 1). + @param premiseIndex the premise's index (starting from 1). + @param status the status that the premise's object status is compared to + (see @ref EN_RuleStatus). + @return an error code. + */ + int DLLEXPORT EN_setpremisestatus(EN_Project ph, int ruleIndex, int premiseIndex, + int status); + + /** + @brief Sets the value in a premise of a rule-based control. + @param ph an EPANET project handle. + @param ruleIndex the rule's index (staring from 1). + @param premiseIndex the premise's index (starting from 1). + @param value The value that the premise's variable is compared to. + @return an error code. + */ + int DLLEXPORT EN_setpremisevalue(EN_Project ph, int ruleIndex, int premiseIndex, + double value); + + /** + @brief Gets the properties of a THEN action in a rule-based control. + @param ph an EPANET project handle. + @param ruleIndex the rule's index (starting from 1). + @param actionIndex the index of the THEN action to retrieve (starting from 1). + @param[out] out_linkIndex the index of the link in the action (starting from 1). + @param[out] out_status the status assigned to the link (see @ref EN_RuleStatus) + @param[out] out_setting the value assigned to the link's setting. + @return an error code. + */ + int DLLEXPORT EN_getthenaction(EN_Project ph, int ruleIndex, int actionIndex, + int *out_linkIndex, int *out_status, double *out_setting); + + /** + @brief Sets the properties of a THEN action in a rule-based control. + @param ph an EPANET project handle. + @param ruleIndex the rule's index (starting from 1). + @param actionIndex the index of the THEN action to modify (starting from 1). + @param linkIndex the index of the link in the action. + @param status the new status assigned to the link (see @ref EN_RuleStatus). + @param setting the new value assigned to the link's setting. + @return an error code. + */ + int DLLEXPORT EN_setthenaction(EN_Project ph, int ruleIndex, int actionIndex, + int linkIndex, int status, double setting); + + /** + @brief Gets the properties of an ELSE action in a rule-based control. + @param ph an EPANET project handle. + @param ruleIndex the rule's index (starting from 1). + @param actionIndex the index of the ELSE action to retrieve (starting from 1). + @param[out] out_linkIndex the index of the link in the action. + @param[out] out_status the status assigned to the link (see @ref EN_RuleStatus). + @param[out] out_setting the value assigned to the link's setting. + @return an error code. + */ + int DLLEXPORT EN_getelseaction(EN_Project ph, int ruleIndex, int actionIndex, + int *out_linkIndex, int *out_status, double *out_setting); + + /** + @brief Sets the properties of an ELSE action in a rule-based control. + @param ph an EPANET project handle. + @param ruleIndex the rule's index (starting from 1). + @param actionIndex the index of the ELSE action being modified (starting from 1). + @param linkIndex the index of the link in the action (starting from 1). + @param status the new status assigned to the link (see @ref EN_RuleStatus) + @param setting the new value assigned to the link's setting. + @return an error code. + */ + int DLLEXPORT EN_setelseaction(EN_Project ph, int ruleIndex, int actionIndex, + int linkIndex, int status, double setting); + + /** + @brief Sets the priority of a rule-based control. + @param ph an EPANET project handle. + @param index the rule's index (starting from 1). + @param priority the priority value assigned to the rule. + @return an error code. + */ + int DLLEXPORT EN_setrulepriority(EN_Project ph, int index, double priority); + + /** + @brief Gets the enabled status of a rule-based control. + @param ph an EPANET project handle. + @param index the rule's index (starting from 1). + @param out_enabled the rule will be either EN_TRUE=enabled or EN_FALSE=disabled. + @return an error code. + */ + int DLLEXPORT EN_getruleenabled(EN_Project ph, int index, int *out_enabled); + + /** + @brief Sets the enabled status of a rule-based control. + @param ph an EPANET project handle. + @param index the rule's index (starting from 1). + @param enabled set the rule to either EN_TRUE=enabled or EN_FALSE=disabled. + @return an error code. + */ + int DLLEXPORT EN_setruleenabled(EN_Project ph, int index, int enabled); + +#if defined(__cplusplus) +} +#endif + +#endif //EPANET2_2_H diff --git a/epyt/libraries/epanet2_enums.h b/epyt/libraries/epanet2_enums.h new file mode 100644 index 0000000..2da2e68 --- /dev/null +++ b/epyt/libraries/epanet2_enums.h @@ -0,0 +1,518 @@ +/** @file epanet2_enums.h +*/ +/* + ****************************************************************************** + Project: OWA EPANET + Version: 2.3 + Module: epanet2_enums.h + Description: enumerations of symbolic constants used by the API functions + Authors: see AUTHORS + Copyright: see AUTHORS + License: see LICENSE + Last Updated: 04/23/2025 + ****************************************************************************** +*/ + + +#ifndef EPANET2_ENUMS_H +#define EPANET2_ENUMS_H + +// --- Define the EPANET toolkit constants +/// Character array size limits +/*! \enum EN_SizeLimits + * Limits on the size of character arrays used to store ID names + * and text messages. +*/ +typedef enum { + EN_MAXID = 31, //!< Max. # characters in ID name + EN_MAXMSG = 255 //!< Max. # characters in message text +} EN_SizeLimits; + +/// Node properties +/*! \enum EN_NodeProperty + * These node properties are used with @ref EN_getnodevalue and @ref EN_setnodevalue. + * Those marked as read only are computed values that can only be retrieved. +*/ +typedef enum { + EN_ELEVATION = 0, //!< Elevation + EN_BASEDEMAND = 1, //!< Primary demand baseline value + EN_PATTERN = 2, //!< Primary demand time pattern index + EN_EMITTER = 3, //!< Emitter flow coefficient + EN_INITQUAL = 4, //!< Initial quality + EN_SOURCEQUAL = 5, //!< Quality source strength + EN_SOURCEPAT = 6, //!< Quality source pattern index + EN_SOURCETYPE = 7, //!< Quality source type (see @ref EN_SourceType) + EN_TANKLEVEL = 8, //!< Current computed tank water level (read only) + EN_DEMAND = 9, //!< Current computed demand (read only) + EN_HEAD = 10, //!< Current computed hydraulic head (read only) + EN_PRESSURE = 11, //!< Current computed pressure (read only) + EN_QUALITY = 12, //!< Current computed quality (read only) + EN_SOURCEMASS = 13, //!< Current computed quality source mass inflow (read only) + EN_INITVOLUME = 14, //!< Tank initial volume (read only) + EN_MIXMODEL = 15, //!< Tank mixing model (see @ref EN_MixingModel) + EN_MIXZONEVOL = 16, //!< Tank mixing zone volume (read only) + EN_TANKDIAM = 17, //!< Tank diameter + EN_MINVOLUME = 18, //!< Tank minimum volume + EN_VOLCURVE = 19, //!< Tank volume curve index + EN_MINLEVEL = 20, //!< Tank minimum level + EN_MAXLEVEL = 21, //!< Tank maximum level + EN_MIXFRACTION = 22, //!< Tank mixing fraction + EN_TANK_KBULK = 23, //!< Tank bulk decay coefficient + EN_TANKVOLUME = 24, //!< Current computed tank volume (read only) + EN_MAXVOLUME = 25, //!< Tank maximum volume (read only) + EN_CANOVERFLOW = 26, //!< `EN_TRUE` (= 1) if the Tank can overflow, `EN_FALSE` (= 0) if it cannot + EN_DEMANDDEFICIT = 27,//!< Amount that full demand is reduced under PDA (read only) + EN_NODE_INCONTROL = 28, //!< `EN_TRUE` (= 1) if the node appears in any control, `EN_FALSE` (= 0) if not + EN_EMITTERFLOW = 29, //!< Current emitter flow (read only) + EN_LEAKAGEFLOW = 30, //!< Current leakage flow (read only) + EN_DEMANDFLOW = 31, //!< Current consumer demand delivered (read only) + EN_FULLDEMAND = 32 //!< Current consumer demand requested (read only) +} EN_NodeProperty; + +/// Link properties +/** +These link properties are used with @ref EN_getlinkvalue and @ref EN_setlinkvalue. +Those marked as read only are computed values that can only be retrieved. +*/ +typedef enum { + EN_DIAMETER = 0, //!< Pipe/valve diameter + EN_LENGTH = 1, //!< Pipe length + EN_ROUGHNESS = 2, //!< Pipe roughness coefficient + EN_MINORLOSS = 3, //!< Pipe/valve minor loss coefficient + EN_INITSTATUS = 4, //!< Initial status (see @ref EN_LinkStatusType) + EN_INITSETTING = 5, //!< Initial pump speed or valve setting + EN_KBULK = 6, //!< Bulk flow chemical reaction coefficient + EN_KWALL = 7, //!< Pipe wall chemical reaction coefficient + EN_FLOW = 8, //!< Current computed flow rate (read only) + EN_VELOCITY = 9, //!< Current computed flow velocity (read only) + EN_HEADLOSS = 10, //!< Current computed head loss (read only) + EN_STATUS = 11, //!< Current link status (see @ref EN_LinkStatusType) + EN_SETTING = 12, //!< Current link setting + EN_ENERGY = 13, //!< Current computed pump energy usage (read only) + EN_LINKQUAL = 14, //!< Current computed link quality (read only) + EN_LINKPATTERN = 15, //!< Pump speed time pattern index + EN_PUMP_STATE = 16, //!< Current computed pump state (read only) (see @ref EN_PumpStateType) + EN_PUMP_EFFIC = 17, //!< Current computed pump efficiency (read only) + EN_PUMP_POWER = 18, //!< Pump constant power rating + EN_PUMP_HCURVE = 19, //!< Pump head v. flow curve index + EN_PUMP_ECURVE = 20, //!< Pump efficiency v. flow curve index + EN_PUMP_ECOST = 21, //!< Pump average energy price + EN_PUMP_EPAT = 22, //!< Pump energy price time pattern index + EN_LINK_INCONTROL = 23, //!< Is present in any simple or rule-based control (= 1) or not (= 0) + EN_GPV_CURVE = 24, //!< GPV head loss v. flow curve index + EN_PCV_CURVE = 25, //!< PCV characteristic curve index + EN_LEAK_AREA = 26, //!< Pipe leak area (sq mm per 100 length units) + EN_LEAK_EXPAN = 27, //!< Leak expansion rate (sq mm per unit of pressure head) + EN_LINK_LEAKAGE = 28, //!< Current leakage rate (read only) + EN_VALVE_TYPE = 29 //!< Type of valve (see @ref EN_LinkType) +} EN_LinkProperty; + +/// Time parameters +/** +These time-related options are used with @ref EN_gettimeparam and@ref EN_settimeparam. +All times are expressed in seconds The parameters marked as read only are +computed values that can only be retrieved. +*/ +typedef enum { + EN_DURATION = 0, //!< Total simulation duration + EN_HYDSTEP = 1, //!< Hydraulic time step + EN_QUALSTEP = 2, //!< Water quality time step + EN_PATTERNSTEP = 3, //!< Time pattern period + EN_PATTERNSTART = 4, //!< Time when time patterns begin + EN_REPORTSTEP = 5, //!< Reporting time step + EN_REPORTSTART = 6, //!< Time when reporting starts + EN_RULESTEP = 7, //!< Rule-based control evaluation time step + EN_STATISTIC = 8, //!< Reporting statistic code (see @ref EN_StatisticType) + EN_PERIODS = 9, //!< Number of reporting time periods (read only) + EN_STARTTIME = 10, //!< Simulation starting time of day + EN_HTIME = 11, //!< Elapsed time of current hydraulic solution (read only) + EN_QTIME = 12, //!< Elapsed time of current quality solution (read only) + EN_HALTFLAG = 13, //!< Flag indicating if the simulation was halted (read only) + EN_NEXTEVENT = 14, //!< Shortest time until a tank becomes empty or full (read only) + EN_NEXTEVENTTANK = 15 //!< Index of tank with shortest time to become empty or full (read only) +} EN_TimeParameter; + +/// Time step events +/** +These are the types of events that can cause a new time step to be taken. +**/ +typedef enum { + EN_STEP_REPORT = 0, //!< A reporting time step has ended + EN_STEP_HYD = 1, //!< A hydraulic time step has ended + EN_STEP_WQ = 2, //!< A water quality time step has ended + EN_STEP_TANKEVENT = 3, //!< A tank has become empty or full + EN_STEP_CONTROLEVENT = 4 //!< A link control needs to be activated +} EN_TimestepEvent; + +/// Analysis convergence statistics +/** +These statistics report the convergence criteria for the most current hydraulic analysis +and the cumulative water quality mass balance error at the current simulation time. They +can be retrieved with @ref EN_getstatistic. +*/ +typedef enum { + EN_ITERATIONS = 0, //!< Number of hydraulic iterations taken + EN_RELATIVEERROR = 1, //!< Sum of link flow changes / sum of link flows + EN_MAXHEADERROR = 2, //!< Largest head loss error for links + EN_MAXFLOWCHANGE = 3, //!< Largest flow change in links + EN_MASSBALANCE = 4, //!< Cumulative water quality mass balance ratio + EN_DEFICIENTNODES = 5, //!< Number of pressure deficient nodes + EN_DEMANDREDUCTION = 6, //!< % demand reduction at pressure deficient nodes + EN_LEAKAGELOSS = 7 //!< % flow lost to system leakage +} EN_AnalysisStatistic; + +/// Types of network objects +/** +The types of objects that comprise a network model. +*/ +typedef enum { + EN_NODE = 0, //!< Nodes + EN_LINK = 1, //!< Links + EN_TIMEPAT = 2, //!< Time patterns + EN_CURVE = 3, //!< Data curves + EN_CONTROL = 4, //!< Simple controls + EN_RULE = 5 //!< Control rules +} EN_ObjectType; + +/// Types of objects to count +/** +These options tell @ref EN_getcount which type of object to count. +*/ +typedef enum { + EN_NODECOUNT = 0, //!< Number of nodes (junctions + tanks + reservoirs) + EN_TANKCOUNT = 1, //!< Number of tanks and reservoirs + EN_LINKCOUNT = 2, //!< Number of links (pipes + pumps + valves) + EN_PATCOUNT = 3, //!< Number of time patterns + EN_CURVECOUNT = 4, //!< Number of data curves + EN_CONTROLCOUNT = 5, //!< Number of simple controls + EN_RULECOUNT = 6 //!< Number of rule-based controls +} EN_CountType; + +/// Node Types +/** +These are the different types of nodes that can be returned by calling @ref EN_getnodetype. +*/ +typedef enum { + EN_JUNCTION = 0, //!< Junction node + EN_RESERVOIR = 1, //!< Reservoir node + EN_TANK = 2 //!< Storage tank node +} EN_NodeType; + +/// Link types +/** +These are the different types of links that can be returned by calling @ref EN_getlinktype. +*/ +typedef enum { + EN_CVPIPE = 0, //!< Pipe with check valve + EN_PIPE = 1, //!< Pipe + EN_PUMP = 2, //!< Pump + EN_PRV = 3, //!< Pressure reducing valve + EN_PSV = 4, //!< Pressure sustaining valve + EN_PBV = 5, //!< Pressure breaker valve + EN_FCV = 6, //!< Flow control valve + EN_TCV = 7, //!< Throttle control valve + EN_GPV = 8, //!< General purpose valve + EN_PCV = 9 //!< Positional control valve +} EN_LinkType; + +/// Link status +/** +One of these values is returned when @ref EN_getlinkvalue is used to retrieve a link's +initial status (`EN_INITSTATUS`) or its current status (`EN_STATUS`). These options are +also used with @ref EN_setlinkvalue to set values for these same properties. +*/ +typedef enum { + EN_CLOSED = 0, //!< Link is closed and cannot convey any flow + EN_OPEN = 1 //!< Link is open and is able to convey flow +} EN_LinkStatusType; + +/// Pump states +/** +One of these codes is returned when @ref EN_getlinkvalue is used to retrieve a pump's +current operating state (`EN_PUMP_STATE`). `EN_PUMP_XHEAD` indicates that the pump has been +shut down because it is being asked to deliver more than its shutoff head. `EN_PUMP_XFLOW` +indicates that the pump is being asked to deliver more than its maximum flow. +*/ +typedef enum { + EN_PUMP_XHEAD = 0, //!< Pump closed - cannot supply head + EN_PUMP_CLOSED = 2, //!< Pump closed + EN_PUMP_OPEN = 3, //!< Pump open + EN_PUMP_XFLOW = 5 //!< Pump open - cannot supply flow +} EN_PumpStateType; + +/// Types of water quality analyses +/** +These are the different types of water quality analyses that EPANET can run. They +are used with @ref EN_getqualinfo, @ref EN_getqualtype, and @ref EN_setqualtype. +*/ +typedef enum { + EN_NONE = 0, //!< No quality analysis + EN_CHEM = 1, //!< Chemical fate and transport + EN_AGE = 2, //!< Water age analysis + EN_TRACE = 3 //!< Source tracing analysis +} EN_QualityType; + +/// Water quality source types +/** +These are the different types of external water quality sources that can be assigned +to a node's `EN_SOURCETYPE` property as used by @ref EN_getnodevalue and @ref EN_setnodevalue. +*/ +typedef enum { + EN_CONCEN = 0, //!< Sets the concentration of external inflow entering a node + EN_MASS = 1, //!< Injects a given mass/minute into a node + EN_SETPOINT = 2, //!< Sets the concentration leaving a node to a given value + EN_FLOWPACED = 3 //!< Adds a given value to the concentration leaving a node +} EN_SourceType; + +/// Head loss formulas +/** +The available choices for the `EN_HEADLOSSFORM` option in @ref EN_getoption and +@ref EN_setoption. They are also used for the head loss type argument in @ref EN_init. +Each head loss formula uses a different type of roughness coefficient (`EN_ROUGHNESS`) +that can be set with @ref EN_setlinkvalue. +*/ +typedef enum { + EN_HW = 0, //!< Hazen-Williams + EN_DW = 1, //!< Darcy-Weisbach + EN_CM = 2 //!< Chezy-Manning +} EN_HeadLossType; + +/// Flow units +/** +These choices for flow units are used with @ref EN_getflowunits and @ref EN_setflowunits. +They are also used for the flow units type argument in @ref EN_init. If flow units are +expressed in US Customary units (`EN_CFS` through `EN_AFD`) then all other quantities are +in US Customary units. Otherwise they are in metric units. +*/ +typedef enum { + EN_CFS = 0, //!< Cubic feet per second + EN_GPM = 1, //!< Gallons per minute + EN_MGD = 2, //!< Million gallons per day + EN_IMGD = 3, //!< Imperial million gallons per day + EN_AFD = 4, //!< Acre-feet per day + EN_LPS = 5, //!< Liters per second + EN_LPM = 6, //!< Liters per minute + EN_MLD = 7, //!< Million liters per day + EN_CMH = 8, //!< Cubic meters per hour + EN_CMD = 9, //!< Cubic meters per day + EN_CMS = 10 //!< Cubic meters per second +} EN_FlowUnits; + +/// Pressure units +/** +The available choices for pressure units for the `EN_PRESS_UNITS` option in @ref EN_getoption +and @ref EN_setoption. +*/ +typedef enum { + EN_PSI = 0, //!< Pounds per square inch + EN_KPA = 1, //!< Kilopascals + EN_METERS = 2, //!< Meters + EN_BAR = 3, //!< Bar + EN_FEET = 4 //!< Feet +} EN_PressUnits; + +/// Demand models +/** +These choices for modeling consumer demands are used with @ref EN_getdemandmodel +and @ref EN_setdemandmodel. + +A demand driven analysis requires that a junction's full demand be supplied +in each time period independent of how much pressure is available. A pressure +driven analysis makes demand be a power function of pressure, up to the point +where the full demand is met. +*/ +typedef enum { + EN_DDA = 0, //!< Demand driven analysis + EN_PDA = 1 //!< Pressure driven analysis +} EN_DemandModel; + +/// Simulation options +/** +These constants identify the hydraulic and water quality simulation options +that are applied on a network-wide basis. They are accessed using the +@ref EN_getoption and @ref EN_setoption functions. +*/ +typedef enum { + EN_TRIALS = 0, //!< Maximum trials allowed for hydraulic convergence + EN_ACCURACY = 1, //!< Total normalized flow change for hydraulic convergence + EN_TOLERANCE = 2, //!< Water quality tolerance + EN_EMITEXPON = 3, //!< Exponent in emitter discharge formula + EN_DEMANDMULT = 4, //!< Global demand multiplier + EN_HEADERROR = 5, //!< Maximum head loss error for hydraulic convergence + EN_FLOWCHANGE = 6, //!< Maximum flow change for hydraulic convergence + EN_HEADLOSSFORM = 7, //!< Head loss formula (see @ref EN_HeadLossType) + EN_GLOBALEFFIC = 8, //!< Global pump efficiency (percent) + EN_GLOBALPRICE = 9, //!< Global energy price per KWH + EN_GLOBALPATTERN = 10, //!< Index of a global energy price pattern + EN_DEMANDCHARGE = 11, //!< Energy charge per max. KW usage + EN_SP_GRAVITY = 12, //!< Specific gravity + EN_SP_VISCOS = 13, //!< Specific viscosity (relative to water at 20 deg C) + EN_UNBALANCED = 14, //!< Extra trials allowed if hydraulics don't converge + EN_CHECKFREQ = 15, //!< Frequency of hydraulic status checks + EN_MAXCHECK = 16, //!< Maximum trials for status checking + EN_DAMPLIMIT = 17, //!< Accuracy level where solution damping begins + EN_SP_DIFFUS = 18, //!< Specific diffusivity (relative to chlorine at 20 deg C) + EN_BULKORDER = 19, //!< Bulk water reaction order for pipes + EN_WALLORDER = 20, //!< Wall reaction order for pipes (either 0 or 1) + EN_TANKORDER = 21, //!< Bulk water reaction order for tanks + EN_CONCENLIMIT = 22, //!< Limiting concentration for growth reactions + EN_DEMANDPATTERN = 23, //!< Name of default demand pattern + EN_EMITBACKFLOW = 24, //!< `EN_TRUE` (= 1) if emitters can backflow, `EN_FALSE` (= 0) if not + EN_PRESS_UNITS = 25, //!< Pressure units (see @ref EN_PressUnits) + EN_STATUS_REPORT = 26 //!< Type of status report to produce (see @ref EN_StatusReport) +} EN_Option; + +/// Simple control types +/** +These are the different types of simple (single statement) controls that can be applied +to network links. They are used as an argument to @ref EN_addcontrol,@ref EN_getcontrol, +and @ref EN_setcontrol. +*/ +typedef enum { + EN_LOWLEVEL = 0, //!< Act when pressure or tank level drops below a setpoint + EN_HILEVEL = 1, //!< Act when pressure or tank level rises above a setpoint + EN_TIMER = 2, //!< Act at a prescribed elapsed amount of time + EN_TIMEOFDAY = 3 //!< Act at a particular time of day +} EN_ControlType; + +/// Reporting statistic choices +/** +These options determine what kind of statistical post-processing should be done on +the time series of simulation results before they are reported using @ref EN_report +or saved to the project's binary output file. These options are used in the +@ref EN_gettimeparam and @ref EN_settimeparam functions when `EN_STATISTIC` is the +time parameter being set or retrieved. +*/ +typedef enum { + EN_SERIES = 0, //!< Report all time series points + EN_AVERAGE = 1, //!< Report average value over simulation period + EN_MINIMUM = 2, //!< Report minimum value over simulation period + EN_MAXIMUM = 3, //!< Report maximum value over simulation period + EN_RANGE = 4 //!< Report maximum - minimum over simulation period +} EN_StatisticType; + +/// Tank mixing models +/** +These are the different types of models that describe water quality mixing in storage tanks. +The choice of model is accessed with the `EN_MIXMODEL` property of a Tank node using +@ref EN_getnodevalue and @ref EN_setnodevalue. +*/ +typedef enum { + EN_MIX1 = 0, //!< Complete mix model + EN_MIX2 = 1, //!< 2-compartment model + EN_FIFO = 2, //!< First in, first out model + EN_LIFO = 3 //!< Last in, first out model +} EN_MixingModel; + +/// Hydraulic initialization options +/** +These options are used to initialize a new hydraulic analysis when @ref EN_initH is called. +*/ +typedef enum { + EN_NOSAVE = 0, //!< Don't save hydraulics; don't re-initialize flows + EN_SAVE = 1, //!< Save hydraulics to file, don't re-initialize flows + EN_INITFLOW = 10, //!< Don't save hydraulics; re-initialize flows + EN_SAVE_AND_INIT = 11 //!< Save hydraulics; re-initialize flows +} EN_InitHydOption; + +/// Types of pump curves +/** +@ref EN_getpumptype returns one of these values when it is called. +*/ +typedef enum { + EN_CONST_HP = 0, //!< Constant horsepower + EN_POWER_FUNC = 1, //!< Power function + EN_CUSTOM = 2, //!< User-defined custom curve + EN_NOCURVE = 3 //!< No curve +} EN_PumpType; + +/// Types of data curves +/** +These are the different types of physical relationships that a data curve can +represent as returned by calling @ref EN_getcurvetype. +*/ +typedef enum { + EN_VOLUME_CURVE = 0, //!< Tank volume v. depth curve + EN_PUMP_CURVE = 1, //!< Pump head v. flow curve + EN_EFFIC_CURVE = 2, //!< Pump efficiency v. flow curve + EN_HLOSS_CURVE = 3, //!< Valve head loss v. flow curve + EN_GENERIC_CURVE = 4, //!< Generic curve + EN_VALVE_CURVE = 5 //!< % of fully open flow v. % open +} EN_CurveType; + +/// Deletion action codes +/** +These codes are used in @ref EN_deletenode and @ref EN_deletelink to indicate what action +should be taken if the node or link being deleted appears in any simple or rule-based +controls or if a deleted node has any links connected to it. +*/ +typedef enum { + EN_UNCONDITIONAL = 0, //!< Delete all controls and connecting links + EN_CONDITIONAL = 1 //!< Cancel object deletion if it appears in controls or has connecting links +} EN_ActionCodeType; + +/// Status reporting levels +/** +These choices specify the level of status reporting written to a project's report +file during a hydraulic analysis. The level is set using the @ref EN_setstatusreport +or the @ref EN_setoption functions. +*/ +typedef enum { + EN_NO_REPORT = 0, //!< No status reporting + EN_NORMAL_REPORT = 1, //!< Normal level of status reporting + EN_FULL_REPORT = 2 //!< Full level of status reporting +} EN_StatusReport; + +/// Network objects used in rule-based controls +typedef enum { + EN_R_NODE = 6, //!< Clause refers to a node + EN_R_LINK = 7, //!< Clause refers to a link + EN_R_SYSTEM = 8 //!< Clause refers to a system parameter (e.g., time) +} EN_RuleObject; + +/// Object variables used in rule-based controls +typedef enum { + EN_R_DEMAND = 0, //!< Nodal demand + EN_R_HEAD = 1, //!< Nodal hydraulic head + EN_R_GRADE = 2, //!< Nodal hydraulic grade + EN_R_LEVEL = 3, //!< Tank water level + EN_R_PRESSURE = 4, //!< Nodal pressure + EN_R_FLOW = 5, //!< Link flow rate + EN_R_STATUS = 6, //!< Link status + EN_R_SETTING = 7, //!< Link setting + EN_R_POWER = 8, //!< Pump power output + EN_R_TIME = 9, //!< Elapsed simulation time + EN_R_CLOCKTIME = 10, //!< Time of day + EN_R_FILLTIME = 11, //!< Time to fill a tank + EN_R_DRAINTIME = 12 //!< Time to drain a tank +} EN_RuleVariable; + +/// Comparison operators used in rule-based controls +typedef enum { + EN_R_EQ = 0, //!< Equal to + EN_R_NE = 1, //!< Not equal + EN_R_LE = 2, //!< Less than or equal to + EN_R_GE = 3, //!< Greater than or equal to + EN_R_LT = 4, //!< Less than + EN_R_GT = 5, //!< Greater than + EN_R_IS = 6, //!< Is equal to + EN_R_NOT = 7, //!< Is not equal to + EN_R_BELOW = 8, //!< Is below + EN_R_ABOVE = 9 //!< Is above +} EN_RuleOperator; + +/// Link status codes used in rule-based controls +typedef enum { + EN_R_IS_OPEN = 1, //!< Link is open + EN_R_IS_CLOSED = 2, //!< Link is closed + EN_R_IS_ACTIVE = 3 //!< Control valve is active +} EN_RuleStatus; + +#define EN_MISSING -1.E10 //!< Missing value indicator +#define EN_SET_CLOSED -1.E10 //!< Link set closed indicator +#define EN_SET_OPEN 1.E10 //!< Link set open indicator + +#define EN_FALSE 0 //!< boolean false +#define EN_TRUE 1 //!< boolean true + +#endif //EPANET2_ENUMS_H diff --git a/epyt/libraries/epanetmsx.h b/epyt/libraries/epanetmsx.h new file mode 100644 index 0000000..42eb6be --- /dev/null +++ b/epyt/libraries/epanetmsx.h @@ -0,0 +1,103 @@ +/****************************************************************************** +** MODULE: EPANETMSX.H +** PROJECT: EPANET-MSX +** DESCRIPTION: C/C++ header file for EPANET Multi-Species Extension Toolkit +** COPYRIGHT: Copyright (C) 2007 Feng Shang, Lewis Rossman, and James Uber. +** All Rights Reserved. See license information in LICENSE.TXT. +** AUTHORS: L. Rossman, US EPA - NRMRL +** F. Shang, University of Cincinnati +** J. Uber, University of Cincinnati +** VERSION: 1.1 +** LAST UPDATE: 11/01/10 +*******************************************************************************/ + +#ifndef EPANETMSX_H +#define EPANETMSX_H + +// --- define WINDOWS + +#undef WINDOWS +#ifdef _WIN32 + #define WINDOWS +#endif +#ifdef __WIN32__ + #define WINDOWS +#endif + +// --- define DLLEXPORT + +#ifndef DLLEXPORT // ttaxon - 9/7/10 + #ifdef WINDOWS + #ifdef __cplusplus + #define DLLEXPORT extern "C" __declspec(dllexport) __stdcall + #else + #define DLLEXPORT __declspec(dllexport) __stdcall + #endif + #else + #ifdef __cplusplus + #define DLLEXPORT extern "C" + #else + #define DLLEXPORT + #endif + #endif +#endif + +// --- define MSX constants + +#define MSX_NODE 0 +#define MSX_LINK 1 +#define MSX_TANK 2 +#define MSX_SPECIES 3 +#define MSX_TERM 4 +#define MSX_PARAMETER 5 +#define MSX_CONSTANT 6 +#define MSX_PATTERN 7 + +#define MSX_BULK 0 +#define MSX_WALL 1 + +#define MSX_NOSOURCE -1 +#define MSX_CONCEN 0 +#define MSX_MASS 1 +#define MSX_SETPOINT 2 +#define MSX_FLOWPACED 3 + +// --- declare MSX functions + +int DLLEXPORT MSXopen(char *fname); +int DLLEXPORT MSXsolveH(void); +int DLLEXPORT MSXusehydfile(char *fname); +int DLLEXPORT MSXsolveQ(void); +int DLLEXPORT MSXinit(int saveFlag); +int DLLEXPORT MSXstep(long *t, long *tleft); +int DLLEXPORT MSXsaveoutfile(char *fname); +int DLLEXPORT MSXsavemsxfile(char *fname); +int DLLEXPORT MSXreport(void); +int DLLEXPORT MSXclose(void); + +int DLLEXPORT MSXgetindex(int type, char *id, int *index); +int DLLEXPORT MSXgetIDlen(int type, int index, int *len); +int DLLEXPORT MSXgetID(int type, int index, char *id, int len); +int DLLEXPORT MSXgetcount(int type, int *count); +int DLLEXPORT MSXgetspecies(int index, int *type, char *units, double *aTol, + double *rTol); +int DLLEXPORT MSXgetconstant(int index, double *value); +int DLLEXPORT MSXgetparameter(int type, int index, int param, double *value); +int DLLEXPORT MSXgetsource(int node, int species, int *type, double *level, + int *pat); +int DLLEXPORT MSXgetpatternlen(int pat, int *len); +int DLLEXPORT MSXgetpatternvalue(int pat, int period, double *value); +int DLLEXPORT MSXgetinitqual(int type, int index, int species, double *value); +int DLLEXPORT MSXgetqual(int type, int index, int species, double *value); +int DLLEXPORT MSXgeterror(int code, char *msg, int len); + +int DLLEXPORT MSXsetconstant(int index, double value); +int DLLEXPORT MSXsetparameter(int type, int index, int param, double value); +int DLLEXPORT MSXsetinitqual(int type, int index, int species, double value); +int DLLEXPORT MSXsetsource(int node, int species, int type, double level, + int pat); +int DLLEXPORT MSXsetpatternvalue(int pat, int period, double value); +int DLLEXPORT MSXsetpattern(int pat, double mult[], int len); +int DLLEXPORT MSXaddpattern(char *id); + +#endif diff --git a/epyt/libraries/glnx/libepanet2 b/epyt/libraries/glnx/libepanet2 index 2d21ff14810bc9205aa4b4923cbac49974c336ce..c22bd1cecd45a11d79c2a430bb7713cec3609bbd 100644 GIT binary patch literal 16952 zcmeHO4{RIN8GnwOHk8(Jfo_3Paugy`AkLrCkOHB05~r6bEg?+`6O@Z%Ut)t}XZE>G z%D+HXgcSmvG*Cg?RE-UF6Vu8hrjBh|LRlLSLTQ1m8e+>((UQ_Z24zZt*89Hq-e;dL zj)pdA(=|{CpMuU%6n;!oYrD;Un45zY!v0`=HYLA<^8CpUMf97HeiPD#e z@b`+;TWJ&MunPKFqk^3{)BdQ^X-Pe}8R=%>twSp={Pa^TGi z;P)k(HO9Lzb~R2tfwcOhzD7J!iclD5r`%L>W_sYMh{ftAMj~Cp@=UW+J$w(Nb}1& z`+T7Y16f3=f#HTy9}c@(uF6+$s) z!P_K$yIbhVp5)^j1&(7M$1;^E6K=lVr%gD;LZ4X^em(^OI%mR{oA55T5b*X(*BT-v zZagxEw{wvfE;7X}DB^hiQYm)}4sp6iAyVbWqlhDK@m#KRbHd}J4;8mtaEL*o(?xX) z7V)KNG|%KSkk3Fq1NjW(Gmy_fJ_G-I8Bm8$6{#bI?^ZIV?jAD=Qj_ZND@BLWCz4wK z9;i}fC*W9I>IM$wAnIqPQc%kNfHFQZ&P;Oo7|Qs_HZ#WM*HFeswV4B4ei>zaM4Q>i z<(E*#N3)qdT>cr#_^3HE#N~F7d-j0LOZ8t{l1J}Slkcg+CuZ9^T1N|?fmrJ3@^zfl zp98DZ%EjPwy129nHT8oasH253Bpc?8m2kR$bO8^idtPd)xO4~uACeU8Te$uD1|)0G zsmWP&{KJjv_?%s}9afK?GcJMvFUkN#si_`b5BU$(uK+)msO(gS>z@KErY7GvmZ>B4 zCqbC5fK!?d!r^e?49K?aKPqBpR|Gwf7`ozAec z8FntiGH9WUP?TYv8MY+DDjBvs!&YV3x(w^iuxf^F%dod+*sctV*_6%c&#(h&);lD$ z-bW?nV@W;Y-7DpNlJ1xEfTTRhU^gb^38ce3r3DX`t0TKb{vr2=VbmOg*^B6wGhd`q zoSS(X`am7s{W|0hJ7^LVBSP{|s-a^)8F?qDj-OP;U<)JW&4 zdyWOxPA0vlMmB>qJK{afPoyDzB301d^l7?_)TDPRBf{YH9v9iLKd>T$mjFKZL6JJ@ zeG@r8ZbuTw)e&$WUB2e5NX7e~r&3ApTadTUVU{TJHV)YE{co|vg#ed9E2f_SgzG+N z2ZjGZR9u6K9cje|b#xSm^oaMZmv9)U$u}U=&w(Bij|$N{uJlRWfvy3td=)M^H}l-q zI$HnJa>hK{T9Uu>bhacv^>lcWUv#RY75f0*+Pd~E-Xo{q{0w4^pS2sSs^2LtWv$7N zTazC)CI8|{UGyh)_>fKA@NVKH-aGHu?zz*m-E)^mg9;elN%=iC>#ho5zT`8I&p--XWZAT->_6Eiz_#UBJjZsK8=O-h_6q- zS-B~u_ebGVTn4%0rf&Ff78}e!+r`(Br7o9CX-`BVp-8XdZS!pLb|~A#2RfxJ;NpL1 zxm@}83gZ>Y3Sz#95>NR3dOY5f2!{t@Vr*6K3>iUXr!R)>iYpb0KdAffQH-FjY&CpF zBCfRaQ*>oH_V^$L0fqaP#a-BL+ba8w@OpuNKbrm!Cf>jYKN8cG0iazVZ=X%2CV@T! zbQb8uC#jSZriA6EQ>oj5V!`j$SZur6nQg#nTeWOS(H`3pC*rvF!3nXhK?7NG+cS10 z=+V9n+A@T;4rjBY>UCGHK^Xn9-TT3=2mx8p_fGijhWhxYLyyDx zNI~QB#RJeFz)^o6{JszRtMP3P>Fs59w7{6(f!~3TQ>pDhS%bs*L_v$Aio`vyl5|IT>=+$SK8Oc6%QmwX2D z8OUcKpMiV^@)^iyAfJJJ2L7)zKkU^)ndT6eNSW3h;(P%M=|4S}igFp}4p3+<-q0c;)7ru+si!q|XN4Np zn~PE+sce>%Oltw%0>Tf_SoRB&o@dcozpqMsudJBxG1)L`_i<@QYXPZ#_=?2O2h`jY zzBF-ppY(^%k6fmHfGHrCACUSpQkJJHYx&O;T32qZxmJ#YW=Xe6+9T->Ngt8)DM={~ ztt;Ks*m#3d-lTVjU~XPr1xsYBD{9wDPN}J?sjjN7t|G78)DA0BX}!GJ!Vd2)Xq|gD zZfDap089!ytPCy6k#IYVMjCe}b68)xn9=ym#+NYa$85ZaQU7P-=P?>r+4xdM<1ZVB z(Qe5n>g}*XR>_GkXZv#Ej`Ti`?D)luuIp?Zf+%K0@OD_yP5T4PT05*5AG+L(ko|?} zb;)L}9j-#UKV;)8S*~$tXJ28oE;-vCu3onp5xkw1u(q6dW<9#u%g*Sol|k`(UBv#z zR}^GWu{ODYIoOmX&#)c?Mxlc_<@##!!L%Sw_h-Vd2gU~L>lz6e}ieG_jNLP8*%Iu=_LQ1vlD>l%G*aAhpR^R7k^g>!SH2Y zF8iN@&I#8`zZ)1+`JRkJ`_$+i=>>4#M|*3(Tn0FflVh@9_&ZF9cLm^hURL``z!g({ z#I^vwh6FS9$Bej<=;?9!S!OqjX7p)(+|Lq+eI1uVZ1!s2 zEls$KCfhE+w5G3b@oa8s%+~NtHvqwADb1_O2x?P1(>Ar<(%@;;ZfS1b>g~`vJPoa0 zjEdV~G=Dt7TP*hKWD=3Jtw(IYahrF|;KrORK+^+0!^d{ULWbTLjl`p{9mulFM{ezz zw_ztcj)rl>b{^XDV=>6yW26P*Q7!0;1aSXR%Prs;2t~9+To0Hx7MV^Lvo7}+Sps** znZ0}rtIxVSrM5lKGRwg~x&s>qHp}Tq`2^ZgH zR1peD$kWhLVfcC(*9CpB7s?eFj6gg=jhN8T9x84o1r2mDJ?ujV$@PZ~=He&r0@l?V z1<}w4;E2N&jH0~vTzXIr&|m<9kR)8iNEIH$Lk+&ZkRRF-H83(X4o86tGRa(Ut@Obq zV7}=7bspz0a0`L|DWcHxB~hBcNHw=59_bbE!#M-_({m`%E78bQ=)Oo$Eih((dR`@} zkfEej|0cly4s!^qpPp-pmPKK7(Pmq zKRqWCrFk2e@FK&J$Z$U+&XLHUo~MaY{;B$2k|t^xREUku_P{FJZO|7|bd8 z)AKn|n)gxt*7N_S^ly*>={cV0eu<+$Jk89@-{XK`PH5hX|3Z0@6n)Ia+W$#Vn*9~& zM|8;S47?>g`?ke@pEMv!=SyKoCi-2AKm8vj`humwR6oUg*5Xg|5u!BTCVNXb_9N*} z{l^q(DQT@`z)`!U6?*{~G$DVQ-wCjF_M6o&jrJ_8J5)c!8F z&~$xCf81w)^-FW%3`g?6DvbyRZLydsjXj|e$46zrF`0P04`P>6`|19R*9Wy-c#5NX by`TY0aH^MV@i91;|MMG!#S)8yMP&Z~Q2C8@ literal 16304 zcmeHOeQ;FO6~9RcMkHZ_fPhM#)F?>vAQ)(hAPZ#SrRB?zpq*A9o86b}4x8O|_pKz> zYAmM1HfAPv21{q`OdQ+Mw(8IsnQAN3L=>>&N3c_ej{i_bW|Arh>BmIdvOVYCb9P@| zcdh-H=}c$uWcPQ^?|j_*&U^RezJ2#Tz85H4(@<70ICVaPpo%5TrQsd$+Dh6&jZMf8i4U!43HJ!H?w`NW*y zr;+mM#ucE$!szx3k)Iozl$&70Hn8kEX9xeC_I9%04JuBf3)d=IFmii$fFGSAviNl1 z)7(Ps6*>BlDbVdVJHkNGcfuW9UF& zuNesKH9P#_hyY*J+)B8fQ3~L7y;^M9+Pra-xl(V))>i7Pvh`aV#Em;znzuA>U#{yo zJk~fws~e6zIyEz&K`MpoxD4)F_^m!%<8g%YD-emt^PF%PF8^ub4dPM@!&l-cd6(oD z9(x>yMX5MTt@C}C&!a{cNr>*N%%7qEcNJdc$UMuZ*DD^!9F7$(XB<3^O)g^&9y*vU z7ajb}EGxvMgRgS%d>!I_2FE>@Lu7vi5S%O24LNwcpKy7`!OQ=Hq&V#0)%`>%UUcx- z2A5$6&pATfNe4fJjR8j;{8bLVSS@Ctn1NyjiWw+opqPRGT?YOzYtbjh{tqjR{_@{0 z7sBWpwo5ak#{O3;j>%4CR<#2?k*N&;%&HM+A41K<`0p~A%%GHULNqacDl6keXkvUM zE8_%ZV*ICB87C$a<40oS9YAi+0Bd!9FbQSG6N7y=m%f@*4!#$9k^wDS0EPZ4MAZYYYt6d`d=9{b^ zKHm2ckit08cM%c!6Md7ps(>yLTal}Ja@F~{s+OxR$yHb6s*Sm-H&-=s)t$NOUAgL> zTs4%d#&gx~Y}MDRI_oycI^e?=;xu7`T-C&H$q_R`wu_CCZq0KBz`P^+6S+1}{dEjsAm38~sPn5$t8e zfy(!=DahWB{{kK9djoX?<<~nq(+isYM^PhE^FX;lDaRUtmnY(bdz3oxkW;-Nt6pym z4B&9+m*Ibo0{{jcw7DBhpqHpqC;E10yA>E9h{iBjgT}Hsa-7-aV{d$=vGibliHPR+M-!**Y* zwp+c|(rSac{6ou1?LR9*Hbf01{825L3IwcVvLh9V^uW`sTfHxAhqQhE1okVb)oFo{ z71*oUAxqn3`|VUxYmtYjPjSSzW>!#>zO_jm`(1Kv*=_ia8h@%7yO7Dm0lPoSWDWry z0L16Fii?@dU4WMW@wsi)C3w&V#DedFv6S53B1*bFCD+cpqGAvp!;rrYKF>gmo6w-? z3J=1K@M(Zg9NHR0qRO+mYW|mIUA3>GSFB&S=9XJ;T#PjO+Y28tOd zW}ujXVg`yCC}yCTfno+^26(+0uP=iszAP^gviu6kxV{m~c?AMq*r-C2d3etz%d~k4 z7m&>B+^!`V=k8b*DiFNh4d?S%SpTQXnHb84ac&QV*M@ni!fV1#lb+Xh-9{aU_YAVk zC!9;jKyIR!)`9UFxnVNE=MpTu#_Sp;iWiAs{tR`5`+b`1cx@fGzleCYgI6E&_@KLz zf;S{m9-?^ghK}{p6CQJ<`~c}cCYg_e!vEKR*LAxCuAuYnCEQ84hcHgqOE^e4MCgw9 z&*TcPve>d|(;96_TYD;Mr?mQdy+L15SD%t%{evr4>MI(S68-5B@$#4^F3ESaPD?yr zC7^kf5~`8%YQTK9D4?qRm0ck&1@OWeXX{hAuf1%@gUdEXtyz;4?qbST5=VfVsjc{KtuSu7y z1+Sy$NH{)9#Qf~IWBvkE@~xA;3KF8RkppiAKHqxiL((4ZK3<10RM!BXFaDQ-_lO08 z*R!%$i?sKMrQ{@kg8-$8d}+1d`yAU_1>*M>;D1nnA1J^-4m|eLeOyl!u>TqG8h6ft z$APadT_AW|vFg{zV}{6S8Y#{KpD%Cc3-EApLO&M@&C8J$J|XQr+5I~=k-D7h-TAKu zel|qvqQ>QKJm51Ac{9qI=DsiO3MA}$JqD}O{q14X z_IC;(l6I=2Ll21DdV16DG6T4xJ_(k=nAsVLwfiGx(2gaNra#p!0<{zSsxV_H!=(IYw%@N1?SOm%hjfQv&i!P1^$ifikkKc>04Wy3a~>D%6f>-d|# zvVFt0=1oAuHVxBfkk)8w5$2YyJ2r0EYVO#)d6%!%Y~8SNs}DTf>-D|7)*e>Xf7%WL zwVXd|jqCAoY5x?$w1R%yFZLzEwzVl1O~!EN0Uk6oJ9XuM)~&(4(SWueK#C!h+E>6^ z3bIbvxO+!~8BE5^kUtv4Hk)^VXD}Q!Q%Ni6+`XVSB1{crMS~EnJ(;A|pE7Gh{^M+TOqneLqUkfl8T`&R^`EUXv*IehG5DaQY>^BC0%gw z=NX{?B8BryxW(Y@M;7<~J)U2ZTH10Q@pJIOIUV~K+NXxLSa=?%Bq3Hq#p&HKGxwkE7#{?GoI|tB^Jqpd zwdC$U(P989m{a!Wc|9Y~>$!dR@#B6p^xp^{Ec~3nI4oK9UIugK_J0yM%n8TO{$Ha1 zPyGBuVPsoeM|=W4PJfO37zdrkQ0ISpj8D7#50iqC?Klj}jE7zR!=zyBWk*8xV|>Zw z@1^-O<1yC-&wd>Cmo9&vpE2_DDcifk37oHD{`mY0jVuXQqta3M{4w<=RGj`i?`2%e zhJ^0+-*fqQ-=GW`-*EZ6+dl{TD){j8AU_B2{!+I+%Z!)6cb3DSpUXpaKtf?VCFNx1 z{{{-YcDa3i9^n1Lye}BX9~SoG^Y|0sFn{dN&*i<#(OQUJ`JMY>f5z$H?DQ92vR$E& z+u;c8$MQ^YMvmL(`K9MG`d3r?WX@p)`!CBfs)BvR;>7H=r&RLWO930{g2CTma7xVm o=ld@{zjEKDBYkx@sLI{0;M^|T;&997{~P?r24$hk!6k~n1Mq0w1^@s6 diff --git a/epyt/libraries/glnx/libepanet2.so b/epyt/libraries/glnx/libepanet2.so index 807ec8498874a8c0f194cd5060fb2cb9892a0abb..168f2150f1e4a4046ab33f762272690a7170b32e 100644 GIT binary patch literal 430008 zcmeFad2|$2*Y;h6DGWjg2w_meBmoBkf(8_90?}p;lME^(WFUc%v>70vNHY@x8W0fB zTO%q&RE#(w4g^p^oFa-wM2&))2893)0a3nv?X#6Y`{a-O{}m8!G%!E!qCh!6z_7uk0(vSsgKi!JuY>_o(iA2j)N?w2=XGt1uF z=Z&EA0xe{0{-?iEJZq$+cd2^WC;7Mcc27aN$VyELw+|a*-Pn1-6J>EbE^C(EqiMzP z8wbrEGQ11YuSe(ipuLMiLkhLXL5NjrzALz!W!+}ECbxBYy{_1Ome&dmx8|elF6-L< zb?CIv8sU+N!7*Jzw#0WFbYd}zqR*5xh?W5|Aa}DUw!Q~B4tQA*KZUu*gcss4$V!1#1-IwO|4gKN+{5bWw=c@9SRs}_$@w`)7ofIT6rWAue$l+NpC@tb7E)M5VKIdz6sXtpmQR0|Q+SX<0fm(m9-^?C z!Ws%|DLhPJ9R+NUPl z|2c&(D3poz73~j69J{Yo9MQuRzERq@6fYP4p7uXbI7;Cs(SD}APvY1eqi{m_B<(9H zoTBiXXxRNpp^Cy;3V%^JPeE`0*ieJ!Pzu;EH)5+z`??hBQK(O$0fmMXur-oB;!P+X zN}(x*W)zxJ2&2%7LK_NKP`HXhTMF$dbfj=Kg-#SAC}8VM`)ep%N1?lDH_*O^#9`Bu z;x|&bi9(dL78f|tTP3JWMKq_Bj-QVQ7eX}_Gp3JMQWD4?*C0=8AOe~7|b;fHCzPU7ojzk&9T zQh1C)A%%?;o}^%Jn<-vI;aLjLiN2NgFH(4k!pow)M*G((yea&)>`Q3Bo5DL3-WBaV z+V7P((%DDx_bGfp;X~0slD(aePl!LIaDc++j$;RjzYy(9+Luu{B#iUFmiRZc|CU0z z@DH*-B74~Wq~hS8i7P}qCi`D$f09C_@G07#q3|b#vlPxz_>01M3fTUZJ>vgR`~rm< zK{OsI)TU6ELNJB;6dF>%cA4xASyp3Wx+q$q6q-?JP9cnfy|tov8wyt{%|2%D+p1&j zDc+I7)f75Wh@gP&8rok=;W}YxT`3+(p&Nzn6mFo56d$B`u*8SZeyGxiQylAzkrYNL{SJzc6CO|di4-PLh@%isVKN15 ziL{?0@oBW*?7HxE)VqJr&+M@;WBAEWPSo$wYv&W4&Taiq=Qe-6@<`)9SAW)hT*p73 zUblHoOs5M|D*8UNzS`r_uDu_tG^>WxGH_~^`|*ZKOCy#3k7&pgoe`3r+@nB3-$U&C+eu%Y~u z^&iGR{`^l{(|3)z>$!-WJ9Y%mnichO^uc5IY#gz$)eUFMzZQqy(lholCTzdToeKvr%{?@5h=y9{6S$hn`=esBFq)$R=+ zd^e`Uyfc>#-1NwjA!k#{8`b=*?(GxD7InV5<)q3P)1K?HVg00~$=%w%*{y=?idK!t z?zL$5k+$i(E2qBwbc3?kE?->LcKO3QjyE20>R9Prm!5O`%(F ztY~y%%ZwR)ZjOF=!PM!Jk2Um~sl-12w(sP@>68DMos`?^%ph+<3IFIgIQgFehMXif2>0EYj@AA#hUoq~6 ze&7E1T-`Ne?v486fzNB@eA;^Nid(nzxp3;$`#zd9dc>SxT8CZtB`Xa-7BAdqH5AVB}1?4HsszZpUm5kaP5&0+-Kmi)OnTNww%fFK3DZuV(X8KR=4hx^7X-Eo9^54Q%>kR zJqLB^cRXq5fSxUGdTZ$ilkWPp_Q~1n6K`8pG4_ePGiT2p^1jypvgRfo=uo%Zx6zb{!fO%6I!wCb!)~q4E;~;)PY-*@HS)GM zyUi?nea3TB>%8!IX5%GU_kI6+X3mt`_cn>^^F`789*FnU*g+wxDWR z?NKdf_y27Cy2}^m{XDne!1oOjujzU2t92FkM7=d`>+7wXKhbqq_kV7v=7T4}JVgXrGUo-1_z51&{v5r^ll9SwA&VEaUi8Rw z3!dLM{Zs+zZ_x4iGZGv0ifOU#p^1+ld3Z^S(VcD@@>BTv?|%RI&PL~t-}BaO#|A!e zQwiBkd41KO(4dxyejU!3~o`1qJQ zPY>I6-_Vm~3&uX~i>f*hm0$Vj?F$}1KIE3q=DzaRLf7{->)kj1i08p>&$fMk@?|N$ z-$T#7e73dswOLOVZ*H+CzR#E*cdS@Db>G3Ud;gl<;LC&G*75XL@zWuI7 zi+@?$(*e`1Q>!+ux$xcHeM*itjmh|#&UyL5OWPa%eQueL;-e3r7>oTTI)C#= zO&)Fb%8Ms!UT9vKJ1Dxc*NYR{{CRpr_?YtR-@UoPiHal7lw5by7tQ7#e)88}=HA=< zp|P*O7%}i@c4hAd8C9vZ*2XQbdEL(=&Ujqc96fk8`KGXWU)P-&ec?%0>w$e+c`tu7 z@~fK5-)@?@;aKDL&s;fc#kQCqvtO9m_2=u?H%oXV=)>;oZtvXki#8b>e*XF6>yB5& z?AmkLhS(w9x8HT}i_p}YPfz=#>$C^=#uSYRx^wLxe~%eGxa6@V7h>1lx9#zx(elhW7Zy54wn(=~e^9zFW2%&%A7zUfF*`%#H4u6g!{iDQ?nue+>O z#+o<3z2%;NcAZOgMKdne2seEhQX4)3>} z)av>l*Jkbiq`{`ak9VE9alvzouKcU@>Z`y0yx)bb4dx{8U(oB%9TVxiFJFpndvMIV zgGY{E-+oN$vUj?B3)-IwyXB^-FBHAk?e>p*-nFUd)9!-H=y6f^?e{9-5vcatdAGA2|_u&BxK5qPJ(vYr8cE0&a z+tyb+Kdejq!-r#s#eDOh%O}n_)$HI~bDr*9Uio^@O}F0g@}|xMca*&}{kQq2cK-6* z_q(Fc#`kOgRmJRiwOgKeDSF41yT4yJz5bB+5AGZK7TFAcs@agW{rH#m zKiuNVBXQe*iT}OR^vvBG`(Isl=iH*C&i|Bs*1$Rucl()lZ(9>L>R6|q^KWkX&bN)n zx6F9l;{i+Y2FO2g?SO92wE0>7Ik9*KVy}bIbE~KBr&@N$B&sP1}^Pks#oN@T2>z-=z9i4OJqwBs{ zboZf|*?Y&WY5hsxt^3y;kM%rWKehjp)ZT^3V;YXzws^>bj0e7oJ@K~p#%^nByl@9@ zr!Tr?UQTPtiyXlk@?tvfr7ot2kdN?-_*qAOnp{M$7kqI)5p6E6-{11$`W2VZS6(9j zzqGozpPX73*Xz+k#EX^p=@u8)U%G^!S1)1z^Cjy4=q2*mx%I`+mEgTsQ7tc?@CDQG42|qnAp^v{r zeg0hg;_1d*!cT`waBHiJjed`R`(M2Rn!kJX5aP_?HhXuKiw{o&plMn7xTa8 z68-#*ON_@iFJXV}CHli{q__KbHCPXG{u^4ab)|-&?GH*1+j^?EPIV zz0Liqp_S6e7{j9KnDh>9X@DPKxE@Ho*`$we3q98~aD)fs37=Tso_X)!cGjNg1GR9RH=~<=oF3 zTJ6so!G5L@DgGBqe(n(adnwx}?}xvbiqDpM?oHW)e(+Och-Ze_BBcK3{$hkGX|FAk z?qD@xMvR)wHw8=WOxcU-JLfB$J;+vEL>6PyfjHe?{t{rL^NZd02+$XV~x@9O=e} zn{@4bMo=N5lY4=5V&`6tI z&k3UUcIc<2J`YN}Oy#ra*|X$-J|4``Hd^#mQqQNPUF`gaG&A}C=Mz(JH%NZwNdI{V z4>f7SyoPOn%vX~;nfYqBk*#Z`KZpKqgeJzF^`rQ2{G;(>kJB8fho|shmbSx^?tZB^ z*C|t}QCcQ{ULf{Kx2jh(1};&2o$v zAFr1hT9H?qdY&crpENao+RH;=`yJeF(bs-w{I3xEjpF~U4yJzML?0#n_OqczKWLJ% zT1x)6Y&L$pVt>DkqaM=V?0K@2*mo(aUam3Hj$;NIJzxApNIm38e%zwh7W+{yV}HBZ zS+UX&+ekm`B=+Ye|KB$^`M3MwGg5DJJDLLBCia8KAKGj42S)f=^e-eof8xafZ6_q% zCz>1kHLn@}YsJ1judC_0iI)Ymx%e-=|C8&;0=Z7vM z`OL%%2-@s%dRWHS?nb5_?v{QsjS%*E;`j~mpCI$YBN4{%3elHKJMNTr#5-$jPgCIe z+;QD0m-_677bdh_&wpthA%3ot>%LuYFH1d-$BPKsmWcg8>Hn8G##bGw&nH`$a(yB8 zEu~z~Z87uA2Q-ghyF>a(MGd1bHQBP_WZbQimo#?0MasN!`)Aeb^BM8udEDq98TVES zxkY_${muxliTB;yw-0w1!7F~IOS&1q8T)k6+e&-g+|bzft7{I_ z7XNV%8T(~ozf$~cll78auJKYo$MABRws*|V`c?9ixXbt-FM0>*&+mLkC(<@o@{e(Y ze(06!dlVm~cU6=xv`c%rP;V6dZ^_T*p2pAp;^(xihl}1YdWh&JsawL&fRBtmMf|K4 z|4rq^ZKT-OmioU|#wj%uZx2hqy#@_I+eovs+KBx$$GHAnuA4`W8pn3MeJcI7w2sNo zXtT49(;oS}<~Y0O>nLLA9?(Dh(&%rQoi$$4y;J&$ozLlX9Q7G4>u_7&BlT8OUM%kr zKdWW_Nyp1i+U$I0$viNp)aY@1l-@ha^}TX~sel1e51-5RsJE<>?-lzurCgpLjc~Kn z^OZ7RmC1GXO0nm6l~mpzKQ_Wj(O;#4pdR)on*>{%>Bjm~#@+fajN{wHemPBpu&;H& z2z@18e2$Lm887%~>m>R#=|5xeV28Flq+Pa4xn^uLh6^O!g;GD?Nc{}rvn*@B_}?k( zC0Pzy?}?wY^5VOnq`Oe+b7Q^{R!V)oCfC91*O-i~7ai{=k^h~gCc(p!?nG(dpW=<5 zxuV}K{qR$HX??xuXC(g_GS5efo-Fgjw=&-E5WTCEE3TQz&-0T1meQYJI%I^dVn0dR z>$lI1{a;d_8zn!#$;|7*q1=Esci zzSw^&?fBClrUC8i-9ysuH^@49lh|Y2VEh(3?xVZOygF6ZKa(Y0m#kYtW!++5m!Fn) z36*teocRAk{FlglTP1piwEO(=#_`R>*w#ur{+MF&|AF+w_0k`DY&I1(NAiPaLj5F_ z^XdN2%f(80Q^p$msbas1?wguejjY@|&ANrUF>jYiJANbAFMLiDn}-7G$8yYXw@A9r z%JrxtThnJ*WZZeB!`k;*8>GDD(xL3}a+S=7x5;|Uo)3SN^8Sej8nj7uSWi4SHtE`* zi@2Nop?+Lfn2f}V|Et9QkDH7=o{wOAfe`s$agFKEjm^&LCG+#Oa=&?_F}ISWT<^+t z*(-Vz@zYH{kWnK3>&X24xMQB#DA&_DZH_)g5VCr+b_<3CBldW$X`)#66r=bP=jmu3(ST25gOaI(0{nIX2 z4{{6phh#l~{)a7v#x?XQGH@R^vK1rsxqiJF&|9V5J4<~|Xll}}BlX;Y>a&T}!t!=7 z{W*&ICAMrj4*xMS-jj`NJtyOIz?H^vhUguoT$5z{t`q%v+N0gQj{Bf@r2jwK({$t- zlFyH%o}ZKlEq98aozm_dq}@A-{;G`kW3s-Awsk3Q)1Ag~Z7J{fVxRGq5%!CHXPFN@ zHBJ54{h_6l_peM-pZ0Zmn_Oon$og}r_<4Y;5%qTRE8|C|Z|gD{cTZkn^7Dk)FOvL3 zJJyHWq#e%}n0#Ik``wc6W=Z!J(fg5Gq}xC~fOUiDW2IeOV@&?LN+>&$8Nu$i zPe?wC(@Z{FnC7wSN`E^b&%53;#k01_c*&IOU5j=Zf1+ein(JS(5+#cmP713`;9f#?j1|O}aOVpT%PT@n9pwh`vkw z@4d(P?@al?c2wGNtUO>lFXLi>^uwmIE*fskt+!+zzF+QJqecG@WdrT9qudBm9afR# zr@z$yLt_7w^uvxfnfxD+@(vO|r7|ALjJGW^zYQ-o1sWseifU}qUA^B3L&Uy9^tK-v z-M;>=ka}2y7izTKXm(bR%&W7+-oD;-qAD8M%J__>}Q4w*l5=GTxt& z`w_d{7fb%b51(6WgkME( zMe{%MUn0-j$4R<(NIx%kJa1_)^97~55Hb7eg;baNv&%VtQ5V!jF;YW zeX;95M$-L4ZfM4f{aHF4<@);@Q!ZIvSZ_)__bD{>Y+uJ)OaFOBp6A&4{7CxkV8{G9 zPV)bu3A=YE#vgzvnD@sJ8F%W_U$0g$L#rMu9UZ%JP02x!t;`v1q~u(d<3r*S)t@Qm0$F7@-u=SJ8jI+i8y^9Kq-n+$s^O46-4 z%J`XUy04Wa{x5sW=y~Qe>v^fSK_MnTvV6A=Ni-(N~Z>+_&J?p`k{TF z-czm%8)}&eUZx@ITe)r~%r*J{UGlk4{9h~A&Hj>ZV;R4*yAf*=7%XVKiK1FvgF^j#iSc8`EMiZ ziqhYVpJ?%)DE08dOp`%8m&A5b?7x)vysM0C9hd%p@*(5+sOZnhbth8Zvvd%>Qu_ba za%0~`^qXY--u;BpH%LB*gqZT?%6)Nnv2P;!`!WyD5*_b_P(Ldj^)p%QkBOg$#D0mC zcZsZLvPDmo^0xfP2**W#Oy;FJ_z*m8dqtlp{px^xz`K>y+s~4puK4gcZ9!75=cM0$ zaF=P93sjHT8p{0aNip^l#oiMCYY!X8PZ)D+kNBVeg%Ku;enR?ZFUNC|IWm50y=xrz z5c?)#-^y_x`iRs+v}Np*#6CgtUwXC4kGu}I7D~H+<#gDY%^>hE_#&DZWCr`AGA@>jen9O16J_dox9FqfIym$%%kpSpLC&xGaS6{UK}v<@)=s+ZfvUr*8$b zeM+dQhttN~`cTR{wVTnUx~)1=-rDm1cc|E(mUQ2YF!p0bKQ8m(M91^GuF`+5l=X0; z*dLbmZQ!{6Zjk=7?HiMStpBi~x=`M)v5=p9Ir6VVD*)L zen=Mnk4b)hlX-ZktbgqF-c<2ZG|KonA^GVp`T==?Hdyr0a$VRX*M$z^|E!F=Zm*mC z%kZNw*Gm7F>x-TL@iLEv|79FV_p+wQI4YOVha40CPsw%mPI&-)QuMCU-`@Pwr=V@j+-7-P4@r4z zHZ%FTR{G)hGLKE_WyXa}uk>Y5Q{Kuo#&DI`50?6W@&_YaFaAF#x2PY_mqxft^cTns z`sWoU-Fu}Tf@mJV_0%iRRor5K71bNYsU;s&vB&9$($6brn+h8!*&QqM!~WgI@vq`% zjr7A5Sr12wzEt!mhyJbPzu)J^Fk9>+$u07K*Bs+t9&=dTWFC9Gy~#+H*r&^SX@g^( z+(61(F6H%z{TAu}uf1)`W!KxIgh)638)FzR_E$=M{?o+dXR7F#(tkQgKex-9C;ju) zIAbr#SYOJxzOSii$3*dSUiwKV`6BO==CBnb`F!dblTSO{tEIoi$@8}!;^#)Ozgg_< z@z_)9{~cL}4;TB-r5(FTKY3F0PBPDI=w~t#E93D8>7Tc4uAcw-(m(qhF?zE2`9Q{9 zy%M8u6a6h|$9Ls=)L-<`a=#z6#n>;jbtzXPx$m~e;~BXQK9O$v`A?>rtjnc-BBg%p zcKHvvMf-Z|8^dVRJp8*B{5(q5rPS?ttC0S`aiFoU61`Z;b+6-dmC-W)^p)r2>rFAN zA=2(6jhcA#ftui zv`a56byreUi_0_|i0OWs+`))br*M#?O=DCrH}s1$nO_)2>w{<9fOcQyqszydtrx}qS^1pL8S%eZ$~*ZwGv4JjgSA-3`(c^bri*)*orUImytvYlZ{$JT|9OQ_fWm4V_4UD}EZ|h;vKWJ$50x8$a(jSs0n*<*d{U@0> zqGFByhWI}q?RBr?es&BUNBxJ(ds}i6l z*LHi|FXesULu2@o$(D6c##c_PDHrUpohL;7^l5H{r)ivEJ1F_dl;_)aKKn>{kKJzU zrCV5uGAE^LeQziFMya=Tj`fKp`dhn9y7!6wVafj+a$S2y^i`7XX1NXy6@9Gq zw^+Hq%NIRY=C=pse)cm{9o9;jul|<%zUgA$P5i$m>+l((_Z9s*nICMuQ0k|iW86I} z<=W>g@1#jnre~y2%F2$<%$_vKnly0q&`F6&nMqSpv$B&iM-T0vmXV$`I(~9mk~wzq zBa;$x<0mDjrpKqH&Q7w1Wh5qz&ds)lq^3{9epGgRHufVu*|%k6PPe0J88gSEr)Fn? zV>6Sovivk4X?lEm;!tvvhJzz=;(0$RBPTO~J@?N@&(6$XaWrL}y$?;z^?Qz=f@pMn z!n9;c1@ZnlnKP0`&+_o;qmmN%l-tr0)8nTnSuw*VC1fVWXD4|wGp5opD#9iFo?(q<&N{jm{rjpsZGMW>OO8o~tnM0pERPk(*o|H=_B(M`x=aizG%bGGP(c;4M z*>Fn=r-^u4Qv9^|DM{P_e#?}kcp3{9xrYSr*t2uno&hSQnnh_*)RZGDDQTLO?8(Va zu#!;)Fv!XBA16Yx+#66b(=Bq0fRtEZ?;|+-_s}5V+;Ifw+Eqr`V-06<1X-buI)Yj- z$-@f!@gGZ)&VpV(nZ^j`-6>LDGr4)l8&_LeYI>5Xz(DU!$neZkM3s^mKpN7v(`qT8 zW2MR1pdL=cHzzA_7S$DX)~wVF9y~-znVA`x7>X2`o;AhFqCsXiJgGRJ=BiY#U}8#@ zhDU08Vp1+rB_+d?E#4?U0-lVSax|T0nHlkEIZ0NIhsv9jnUj`e29P-$6NsP5K{Y1t z=uMvZ%=qaR1{(;qE(H!8BxitZnoV=FlV)J_(6GcLrcWV%Xr2%6k@LQ9FyO3B7#KFJhTCK2Qu<<7DK2C3=P0eA$O zd5;rIO_xk(N%o*}_5vpwb2Geo9?!CnS)_rJ%wZ~`B5^9YF*z}{&qXkUOUjd|@(90H z);*L>c%PAxmSZM!DLXeS=akwFo=iJWH+6wirex9pm#Uqblb&FAcyi#0&!*0hZt9OR zLoRRzTTlm1n9glXh6x!NnRX8SancjH@Y5;TG)cjsP_r2&P%Q!WJMd?Kl=PhG#=@@t z$?;i9at`Vua608y9W!-lj@lPIvQR=Uie%<`f67t=)iSR%%D&x-bPA#-t5nG|k`hvq z%)BCpxQ}4QhaE0PsR`8EkY`U0)g&T(9><(+?b_uuG}r?}5W%W>2E1WD;h znNwz2@iV6IoQTw6Z_nwbx}fkG+NE(pa|}&62^mSr$+#rL(oAE1!n}}fUkGs-Nx=HU zR8T@neEJmh#TjPkn9k)%^_a_{NgZ{Rl2ZaU<@PqVw6al&M~4CIy% z+7(U3tH!puKYO-;5zwDzC;cm7X=}fZGMQ_JU8(@VVStdHp`>(7_x=+6OC+C|Z*fgd zNa4#YHFr{a7A<<{G^{!O^~H9kIvvr010+KpS`4SsnwYH6!WSbm2C5mz*r}%ZYl@1J zokFEZ;EOns#Ei8%L;@X6O3O;BX7Mipd8ZXb2Caj6ZA&LXs$NlAnMD1C*W9u8-2vY# zWKZXHEY%d>0QfOx7F@!VMjYG)?|kjHcG?`?3iIxNp_Ufz(Sf^(_Ul4o|n?F z<_O!GB{kNZ_KG@Y7_ajv3I9C@4r3jREMRXI(J{kh#f-%WWIhiOy@ZV!R&Bk?KCvpb z*RA%lm3%?A7p-RLDL!!^uzI9)?HiwJE60Rt3&-l~Mk=)bB#Jwhi~gf(E&DG`EoG_Z zXugouC4pI7a+~OdBps=~j&!cw_zeHTl2Y`?=~TT$q(d6%s9qD&QH^v|E&qgMP9anO z;xA?x4O?8@sCLaF-#%3j8uOj?{X;uF+ zflfo5mk`{DYRy3B{AeKlZQR$oq&TQTSL05UEH(mw^w^)+CvOIm#` zKsFa&3Iu#pv7O5s9!d5ERxb-oXAUgd6ie&!S)6-Hn!%r0ra)_Jv~5*E_^{3PannS6 zh@w=xfvdY@(|@(cDSn{R1|V=GaCHk91T=ClS9IfBfKIO-KASG>u>cRHMHN5Ay)tBfw$BBa3WHj$ zj(R0On0B({-b@xEmhAbN3Kd_D@{&Tg4{B91gs9{PQCi=p(ajo`X;cMBf-}V)WTeP? z5k18JFa}q(Gxx5iYkgcN?PNH;6&nOE+1eIl2rOgW7z z3@i9dvmii`*K#ah{$yX8Mj1&0NHB9(3~9 zjvwB$DjkpG(j_^L^$kZ%EgDOMzw>hE=_6_LvN)RZiBKs=~fEm7Lc8hXvJq|r160adQw4odN~S5(JU%uZnR8>J7$hb(IVY9s-ySd3ZsO(9oVgxR zy?7>PPP3-dQxB>MD>;$xa7IiTHM-yJ!}<*y%^fR&pN&wq6KJZX+ZN0TSxHl9AktJK zQ&1MQomu&0XU3;z@kVAE<9{ywD6>)*$|8?+yL$f9dmza%Oc~__2NIeGTis|NdJ8|E+=l*1-RFH4tQ- zq|c(z$JlsVy>cymlCGvz_X?xsv`VE#Gx+}eV;>LDSD|x ze?jyzhh8drxkEoCdWAzjD|)3v4;o=UKWG1rkllY8i5@J!FJ$YXqK7#2=Azrbw`SY7 z5Ghq!l6GVdZk0(D7yW*V!K~$5wS=pKh&DtfL%|6FvhLq8{rlcdKjR$swjcZVLT&re;%BMD z{!Y;g9D1DS>l}Kr=!FhFL-ZntK2!7(hdxL2eGYw*=%o&QrRZf2{V~zY9r`BGD;)Y( z(JLMLtD;vq^qrzx^8IMLKKF|r?9dO09^%jsiyr3Ce-b_1p`Q{x!l9oRJ<_4q9%aT? zltXVUy33)5iSBmj9Yl|H=+}up&Y|}bJb?A4C?se$XL|^LA zXNX?l(C3Q2&Y>?8z0jer6uroyKO%aGLw`c_eGdIu(MuirHqpx*`fH+>JMO5%%PtY`*4T;yXX-P{cq7D9eSP7(w`lA zW6@og(A}5NV=tkPyM!Kh3Ek_^UCT{Ampb$q(F+{9Tl94feTe9V4t==jMGk$m=*13w zyy)8<`b5#o9r_f}D;#>d=#>sVOY|y-K1*~s~&!l7>zJ<_3X7Cp+LzbLxPq3;kq&Y`~}dWu7TUv!T{|3vg$hyJ=zoe{>d?=LUgpsM7QNh|TPw_Xsc`5)qE|Zf zTB27u^tz&3@;fT()sa z$9Ea+El%k_+9K^!lrBF#!bd$yw|_ef2Xd8um-6pb`YHBc{w!5`w9*TdZhz+xhu10H z{%$bzLZ!a|LAD~L%THqPkz%F$Y-8GQS2{h;^KT_eze&~SKBeE`x3;WOrQfdX%am?^ z2OFoAE4{v|w+f~It^8Li{RX91DSf!oJu;uewf$XU91g>Om_-}DMp>xR4OjYTrAH|J zMpdpzr4M0`=1-K;<*R;tz@_xr%HFN?4JzGOrT16*IHkX+{KP3;nOiAJzegSLC|!Qq znZ4yIUH*$R*1bx9SovA1bo)0AaYBL8TPgc>O21X9I<;ngsf- ziJ61JN|&z&^MMehzpT;?Q+h+ChbvwF%QE&8q4ax|eWcRyn~3%nrF8o@-EhpM^g`R1 z_HL!0PC=?GN9kLXo~!h4lZd^I zsmjkfr7u@{q0;HaiGM3ny8KiFA1hXRu&V#aR!Ah5(LSa2b>0!!Gn9`$E zdBc@{ld_Lc`a)$Nsq}41k5YP?(p^eFs&u!~?cW^4;aH^)Q1vrT>9tipe{HG}0 z{_Z^vdz3Ce-OXp^D!sc(*Q@mQN?)q<`YPQ5rQ5$Dg2U^SEq@eEB#)-wPlqk9ls%AZ~K&v&uiFQsnYH5@Z(sS($}eU%a#7J?S%FfN~fOy z@Nbn$xBssQ9IR6M6u&h^ng-_oIZ6*!dT*tND1E8QXPDAMR6B+%{TXE+p>+Al3Qi?b z=|8A+qm;fu=`N)|u5`E3e^cqkD!p9kY{KP4peyYH~r6|3v^5fCEs)t;qk5u+v zrPEI&__w7>zeV{eQ2GMpXPwf&@Oz=PsM6~x`y!>&PnP(%Vx{*{_S=;%KZ(KTlqmfX zzZaVSm2UrLJr0*D-To~_=w(XZ0YSEMr9YBnFHCOGt z)c=(pt^AiO{Vru+q4ad6S1P@;O1DbsW0h`Q9_at}M`YkGSm}F|eTdTOCxrZ4n9{FT z_TftJ ziONrk(hn5%8ys+_HQ2H@KU88RQ3f*|5WMglz?xqWNFx zy;MK3ng{w}D`g+7^nFSXQTh?3hbjFdrH3n>eoD!|MJTRO#+h`UT~uRO!Dd`!c0psq}KC z%TFQl(F&zcQT{8H{;cv-rSyqPw^{`H|KG|_u+m>r_905&r1UVQ=P5m0=}lC8y z(o2*sKXu7T?^AlR%1^1%FIRe*(&O#S)4p8k$5px&O21zDsZ@HDvaeEl3uSMG1^WNT zD&1hE<2Q`$Ekx<||M`StVM-rt8`C~q>9;98Lh0j`9;x(NDxXnGk5IZx>Gvx?Zl$+X zdaTmhDSe#M|D(zqr}Sv0rzkx^<;SD+8p=Lb=`EG+Rr+R?pQTFwTImH!Z?E)qO3zpR z3za@X*%v8YerlbM7AswT3YYcmN`F}SDN*`CmF_;J4_A7r($6bDWlBGw^m3(-Q+_Ix zzC`JjO20z2OO?|9RQ|1&f&TAReu9-QKe5SYg($s)vJX>wBc+Ecy@N_OLh1XJeWcRu z|5F5~MJc_b^5atax5|%O>8q3;tMq!Re#R-iOxedNeYVn5lrBGA$+_|<{TG$bT&4e| zbg$9}D*sEBewE5+fzqcd`*ljcNBJ*Q`e|ifr1WM=FIM_8mS zvM*Ko4yBhV{WhhSE8YI>btF@v^qZA^rPBXV`KeO+Ol5Di3iN-E(u0*gRp}v0m;Vxq zQwdYL{6s73;Yxo)jG^sAK~rSzv&eq2iLr0m^F4^sBAO8;Hyl`c2ADfzp3b_Un{hrR)op{*%&+l-@<@#Y)dt z`gWx^Q0bN^{TgMzPw6L>eW}v7D*G~}zpC_drQfRNfeNLMRrZxiZ>-X-Qu?*Z-fA7_ z|KpW?u+pzl>4qr%LuDVP^s`D2SNd}*-3X;$r}RjrU$68ir6(!>E~WQUx?AbDD?hPH z@2d21N>5aN;*@^5(o>WkuXK;nif*rS$KVZnX*Y|H(=ZR{FK7enOPKN7;udy;$WxT31u8x6=2jbYqqNl=3r9>F+8%PU(*+Jw@p~Rk|Lf|Dn>&Rr-xe_bNR@=}VQ~ zPw53pcd2yODg8Z_&qAdKD?dd_@230|D?LToZ&&(zN-t6RBTC<=^ygK6N|ioM*_SDO zx3Vu+dViJA3Z?s$pGu|wq5S+e`rjJ(|8otv7yJ_J&aeIaq}rByQAu{tg;Mu|cY*^m z_=TQ7(4h+*kJ8`9SGgz#PC=FV$}iB?@emjz%~#5N0E`joD`DObt_dz?-VLq=E@a*T zt_?0=-Ui0S$LD3<0?>g&1jegcUomqu7_VY| zh0MLdctz?fVD1jaD^Q=8xeK@j*u&foj8|g5IObMhysGlWGKYfk%Esqnt`Ej57GETD z5V#FEocY{DV!V>@g)pB6UkSFDkAd+>*jM>C%Krm699+(P2;3H2%6tIa4qU>#AKV^X z%)A?nM;^XH<{e->y6_b+Zv$Tq_A+k);}*{6VcrPFt(7m1c>@@?RK8f|Rbbq@_*~4( zz_^Gy2e^>AHy9s<@)a<52jkVO&&%8ej9WdQhq)a%3LMAW3fv1E%Nz>s z4R$ft2j2{iWDWx36}~T=`5gU^aw&blAh!yyakL~6`zNBBiId&W8MHB2##f51s(); zF)srT21hc_2M+;!)0_N`E8DKAS7w}B5hq)a%7aYgj3OoxO%Nz=x4R$ft2j2^hWDWw~2M%XGNB`qg z${cVA^J(z?V2k+}crLi|Pi}v(7hKMK2s{s5%6tGkA6&w`AG`ou%)A@C5M0Q-1H1@a zz`PB-80=-<0$u|4FmD7e1;;UO0Ox^YnOA|AfnChY!1>@v=K0{|;Be;I;1%Ey=1lMd zV2gPw_(5>xAKd=n0&qF=1n^35Df3A1DsTz&An-%rV&-V@YH%TQZ}1v$0dsfoTCkV7 z3;1EMhq)bi9XO7;6?i>3mN^u>0qkO~4}Jt3$s7cJ6dcZcZUXUtz#+`1!H9A4}dp}B2p-VF9I zZv+>C}*uL5rYyO@`Op9M!U&j&vT4riVXejXgcoC)3vwwR}aUjSGB#_bO- z2A4BW0KW(>WgZFM1}23yR>z&pW}XSn^rCE#-A zL*QNDQsx8T-QW`D{op;|V&>i8cff_rJHYRP3z)Zo-vfJ@w}AJ8JZ^M*kV2g{tjGuirXJt4lZXt1pXde%6tI)1Gt2F zKlli^n0Yt&D7cV$2lz*D0rNKSPhc3LEtmsV&-V@ zZ{R}a-r(QC1JUE>B z+*snj!6D42!T*3Q=40Rs;L4NS{$Q&HaXIrLFh0`YD`h?a#;Y}73G;q%O>i;uZZJOj z?ki;80mfHrdw#mLSApw;UChhCcs1pVWS$Rh z2o7hS4ZaK zJ-C>8Hy9t0@D(!e0CxlzFmD524fZl`0e1p>m^XqWz;VnQz@5Rd%&Wj%z%J%x;A_B< z%=5w5g2S0-gRcXJFlU0V2V2Zj!Ck?Xzi|75@ljA;Ir9WCKBDO>WgZFc4lZFH1ik@W z%p48ID<@web8m1@Z~=37FkS`tyv$v|H-SCO?ZEg5moJXF6&SDhe6h@-V0;w8=VGo8 z#zz5sk<3A0ydv|3GoKqn+y@-Od>Y&rY%w1LCTY`4AYdB7CLH2f+A9 zl&^$&Ke#`*n0YsN0JxBO2RH^?z`PBNk2?6g%v->>gFVa}!ESII^9Jxha4hpG@F1{@ zc^P;xIFfljcnCP0c{X?`ID|P9JPd3xPX!MLS03Z`2gicTnJ0ipfJ>Q2f=7Z&mz0rNI+GT6(!1v~}pVcrPF17}|x^9FD#IF@-8cq-V%ybL@I z9LYQ%oCXeOo(-N34q?s&r-Lo#so)H7Wd*lC*aI$So&dfFT*^EWoCz*r9t6$;7c)nL zv%!VTy}>!)0_N`E8DKAS7w}B5hq)a%7aYgj3OoxO%Nz=x4R$ft2j2^hWDWw~2M%XG zN57zyG6x*Od>VW|*kV2go(r!0ncE-i1(!1)0?z}NG9LiX2bVDK2QL5@Gw%j31Q#;z z051X;Fyoi4QWk@~%v-=qz#is};HBU=<_+LHa4hpG@G`KA8Nbk#k`In#o)2CQ4riVX zUI7ka&ICUIwwR}a9|Twa#O)6*0GBgQ0Ivj>GLHnW0+%ok0zU*UX2vg@rK|=QGWQ0r z0T(cL2d@QtnY(}=278#>f!BfKm|KC@gJYRP!5hFX=KA1Az>&=7VrpB-cz(f~dqtmq zbVKM~Q5*N6?p{^dm(%N@=46A{LG><_H@?aX!#%Pm`zCDP6Ze(w&i}acD&4zI-0I#{ zRnuMLJ@=>oWH%!RbHqXLh4SRaR}Bc9@9pEG`wuIp>lpWfKIvp-x$}O^Zs^YMlS#i! zS8+Gha77CJd9U^^va4~oovyw2-Af0@&^h$tD%_nnr{e9XHkP%Mif2_|ee2GPsd6uv zQ)T7U-AM6v-U%oe@xn)t6QBf#8O6do>d#;{#IMsjkv>W*qJMHs7iVb-Pr+D?mT_~|T zFQ?p{H>S*;H?(v}Ud+C|F<8x83+9|poZHHsKeUwcUFOawqx={$-dnMbo?{%ZnICgL zFXlXJ`D6CE^9mxV;(+0E27h&l*T1@($K-*_lzjI!si<49f1yrG{D$crhJQsUITT-PYGp>a(Sx9Qqun$}U# zuo=ros}V8~IChl!BD#^WEE8HV=W{E!4*jivfBo%z7gdjp7R)JSwKT|9af3&7PxU^g z93I>&dKNFP#a(V7btk*#sWlGKs;YW*j-%_0U1`;i45L1zj#$~jR82lS4COS)+Yq`( zMLd7Z=XnLUU^p?95>Tz!R(DVj;CStQJmU6Nd~SLt_m32e8|0b%-E|}oucY-4^u1pB zPwv^DseROxZnAJ57I`_9)HBJ^&~iGl%AN1!PPU@w(~C@9e8YVKN69LmtjVe$_i-ft z2_@+71pkZ2QQ|TGq8_;+$>W^=)uTOdX}(CNG991H8DFt9vISRP<&NQ~?YxhXzpg)U zg;cp$EcKeh75Z>U;BcuqT&@qF`rbL5FIvR^!wkLW&ika|F>)#Sb!3PS&kY=QWQY&P zT|7g1IltwNp>`ZfErd24N}a1RKj$~pz#QtT)m!L)vYtdQQ2x)Y`_bI-e{S8BMwM98 zoS2t$l&3`Q#mIC_86FwRaFDq1*r1`;1|=Y4_pxsC?9zYfi%3T;S7YEsL=1L8l^ z6vXj-FBSs0(znx0CcoKzc`uuA?cnTuFV7%!#x3TI0_ObM$7%9$=hF&ex8IjN*AxYO zLDIfxKGv!415@fV)ER*(yQoDM#Z2@>E4QHy4#^? znkHbY@uC_uf#AT~_C(TyD%O7#Pc!+neD6A*a_M?IZ#RBP%AH3e>&uF@7heQ!1vNOXHmTprq6E`YLa96Tz?9_VWcRLP;k(WS z?W(#eZ&zMv=Y3RJR1wok{~)UxrFk*GnbM&6RP*(>PodKAG-ongC}U{BoZqbbZ-$0i zKSh^%>C!ov+^A$QM9GdfuU3pHG+)rg{y643K6TS!|EbxvaU`l*L*0ZvNv8SU3K|}Z zO76!*SAlm@7G5k_Nd3%r?6Z1f^3paxrrfP3Zz)w>F4gf!n(@j_KDc|grUj6c0^LPb z{)^P{ol6wTJ+F)ZrxYeQQfNszwNq$XErsD2TA16Zq^LTY6=?xZ*{6As+JRTnrW>MC zbzb~av$J3JqVs8%H)YNa1EIEFp%G%oXUXIknEx&|tL5dC(g~O>cv7XTAv-jNWq8)- z;ptm|=E#pJrGC8rKGToi$JIgIM&a4!@rl}5UJR}|mDL;c0C#_?JL;Oh(A-10zRIjW zXf3g~Voy10@s|a2ez}lyh|cC>JwW}adgghANFxOXtz5WQn#__e^;36y8cE0RBY!j! zmo9D0g(=@rld{ZH@h27cmYKe|m+x}O8pV~#0jkXf+a+x|GNN@fx)D zi)u6Jzpp_tUj+;(Pv#obSY3m9P}y{4b3dszjj9ViHLrcahco9Gn_@(nSLk^MOsZeC z22{TiY@)S+x`tZze2FyCi5%1ZP4wXCUzx2w?bEf?G<)6cscKIs9K4xaibZJr~Z&b!%WvNv zj)tdY(i3};eSgmQ6tjB?8P^gkmhrj%)l;Q`*o6u})yS;4w2uhhM( zyq3E&cJ$zL-(J@^I^SAA=3E1KvUUFl_Sv`%qzZ6H>9d3A-jdFi9Xs*gYx(`S8p2VD zuIPEcgx8|1=Dk(%7xkFDSIV)=Uj*{cbW)~yT&6{AK^5`cL9*;~p{8ZcsJk5>5jdXU z&R@evS1hVzZ@i}Z`BSp9mAw^3I4y6tt<)$@-fPvTTbea|ib+{+Ha?;YI<5D_ySbB< zsyBD(GG${H%MGKyL32ZC4cqu_ELJM=3b0;0UYCsUsEsO1bzTe&YxwZ$y?Wj+_)*2Y zx6ac?wW%s9X_vRA3b1z(KE6+0EQ$sPq9K83SRfi6h(-jWk%4GbAnFQ4-GOLqAUZA( zjSECm0#Q#On(L3ocui(wmdc)=(bHvhop7P-i)3Fcd+r-#S0cPm_NB5flYP1DD`a0O z`zo_vgpd16G&m5&mjXl$3q0DdZGI4&(;t$}_x}%b-vS?JRpy

    DuX?uku+*ANX>y;R|_9_&|9%=dy@fRsbWz+XmZ+eQ`Yq66J7qEeUf`)${!p^Fb zj6Ef)ez0Kl617RVRzv}Hif-XACIYpXAoiu2>8$A|Uonc_wp-oc*CCR{4yuDVm>F4R zJnV*UA?gIP06=9-oPoE6bSw&RjP$Z;PD@Oc5tPqjk;g7J*@zLwO6smp;MyGOE)M|C z82s}h1G>&X6+$ayDx{m|LWwD036aWySUONg_&P*Wli$=#@3R&<(EHT{`>)weqxDw&;yR)3d4C~f{e^P|w6s2%Z)rGr_ z$D=Nc9WV?;Jwxk}+UQw3LS5!ogdA>g1Xnn`K2PKvVR_zZtJ(!ag|BFD1f@K}!V02c zl;mf!eF!5JM4>r@XILZu1w#5S(EJaN+`u{$xk2ZuvvNZ~<#Hq7J#vE*j@+P1Veydq zRT5W$#X|2v(ifbgUGf46zi2=JCp3wH$(h>ydj;v@xki7 z5xDaTTWt71_I|v{qJTs7Pu~w3+P7G{%|l&nzsd$&F@$vQ@)`_$g@VpA$5nr{1=R*y zP>doCwIsK(Z@|ZH?&HSC9fdC_Jhaf*91m8oIgm=5Lz7_SOaF3hjw~Q@3r1aVA53KJ z2v^I5Wy%lbgHAnIO6Q4R##eM=nf>7_oEc2QACv+m`ta7>3rY|}Cg%vdMGA4ZGPjrn zlLC2aWMko-=mRW|K6^&+E_`0`ab{SJCji4&J0#tA1FsLRn{uNR<>YfJZd|3(O$l>Y z>SIWAOI#r(uIBAytcfSWA^-S@-$a};Y=UZ#tFd9qBMC|-%m$FHnSX-6z->DC3TjSm zMum03AL9dx(By(b+T0l|g>FTE>TFYV`UZq(Kf?loxx9;S`3=Zln`j4qc-wsBZ637pjsE8$JI85lSDsXW z*4coy2Yu}9<|AAv3-C@lM3S_B3|_ia$ZjF5~&c(zGHD`gJzWt1z{A~EQFz~l!1H}@3gfUynlr{6z>c01dcfkgndk7SKX`N!VaUk-d_UYpB)G_RUkMDG5Cua zBmn7t9BD9UUt@wI2nE6yR}DNx*P=lX^72jnfwnH%E0FlWv7fgdqqXYitu=AJR?WBprH-dWGVTT zq|KQ&4z`g!8Pa0NJ*i~KIQ4(*%37y)Bn^G~dn$Rt*HD7qFN^e`N>4poDsp(odmK5e zYlg_F{0M4jl$dL#gLbOv#te0?mPJ1_w$)rfGGZISjpQBmP5NOcr9!HuZWV1Miyk(8Aa9#&IG9z=onz%VY-kQ^8I0H!j<)5n|ppRvoSXADXJ7CcCm3?N;9BsEFW z<~~xt7trYOg-Z80AC11JC&^vJ^H3WFI4}*#%x{;S`Jt3?6O_*U^q}=nSFNfs>Ple% z@KEh3oS?#n%tP8{u#LzhYm_E81$O~W{6#7Zz&>1S@&VWanR+3w#Hz6j-NER4j!JVf zYau6}K*Ye853HEWT<&@p62~;e*$cPc_O+3y{h2P4Gjw1)ab;Cs1l?C#D8A zH{x!jX;T9|p1y&5myZza$1BPkuS=)(3yPOMg{xBf&3(A8i)U7w1L}h!G=++es+>ruB8TOcA$_1K1236E3$3!h~ zv0ur^Eh6bBfD&~4dOYlbsoTkv>Jy zphOtXQFBY{z+_y{bKmc^=pb_0?qrgs7wNJeK>$^!8zHx^8_|H7iu2$+Xjp+FhrQjN z2VzJC#K^(3cn3a{AZQt+QC~F76(3PGX0Rfa5>>@~I++_T%~?`gtp)4JmuDX0YtlsF zfJ#s}@G*JRKztXyN!3*Wdv>p5apdG}R8^2i7FE)s3V5;?N*PtK*{2GyYTq?i`!=(v zJ}A%fE@UBboURzUkMSS;)I-&b9tQ(-lzL1w8w!xYkP%AzlQ`0ywg<~GWid&=l3{`1 zv$AM|zQ9jZ6d~81!to9L6fRI0Ngp>T zm52bN$TUxqtNTPcU|PyeO!^7EHz}Wsa*8b~hG=NF1F}=`;=v?z|0eiT(FORGl-9w& zp08-aB55P|#(r{TWuyiCkz38?{4A&+?D$C{=N6XNP_Weii^_mP!LWv)qX+Y^~Fw zHR{0a%$efhwi9FwtO}-tCF`)Tt9m{dG?ZGGxS{(_P){;Ht4hdFC4BGi9F-s(s-P0O zQH@BIssv!y+?{Hrz0+Hw66!xA(U>GO>A8_~~c^C#R*@)nbitPUq?V$hDB);i*O=TzdPv z|B#GvW!=Amz?5`<<|yg@_*A9)4_QX}FbUoNn09}p=8+<1GW8oeH9u&FD!d2+lI|oK z46LWkD_fRz_#uEPHb)#QhLzY&Rv2_5HxgW^0n2DpDU=cl`z$H9vf z`q*%)S-4IM*)-=@wK67^a_A#i^hN;?MF@iRFNYxBsEvzo^iUkVhjif9z24Be#|~6D z5xr%$ZzF(-eow;Tmu&9CY2v*AfOt1g&^6vne+K`B$SRf^+U|-a!`Z+BilrO%PO-G2 zsH>y0sx#&Aqt%d*o@Za1bzEJf8KJjy6d$4V401>s(NTOv zNAW=_i4maJr#TV1sV_45>&3@fyc3M7e83U=5h-dM1Aqzc#FJEE+!gnJQRRwdYne2{ zt`NF6uAeJ3fg?7Am2nN$U{@p1-$?X0p3zAFYS(#^xh+FPg{fw^ANE-Lcy_IQVurp4 z^tFkmL7=>No7eMQ0ld)Z-TtEI;zobUzdwi2dP=E@>#-sQl3f$Q0 zdMZm*N+`kbU2P=QirYe>Y!Ngo9}T1BV*q;dMmQ#*Uv!Ek`VM$|<~1wd3lQwedDL1` zn>sMr&OpJg!pXR$A@&surjMVHYTbn-6H&<_%V?uR#E&rs0l0`gzZzs<-b}fKu1z)f zn|iz|(9EiLHrY+6$wLTBx)W@)oKiN=HOfOmi9g!ca2>DuN<6LaV`5mN_pkwx;L?yR z&I#n=CoAGDfh6n&!8wxI6ShBdi~^HP0aX>u3|=^`sLZtBkB$_SC_+{E8YuLLir|)# zSZ}IX*yT~VhhPSxJWKI}+yQNyb^vEH z$9lXJo>b0MX%E#DD5J<#MMQ?!(Wp{nfYNxXpdKu?RL)FA=HLQuQJXpMMeg;lQiJvq zav@W4Ui4^NvCLjiBj8kwRHMeyb5(~95c$Hj$_ZGXu=KzWs=w0E=0S#NGxi*SXa%|< z>~ zO52&$lOYTov%Im9@yPQv#Vcvv#mG7~T!)Y{xHvGRT5=V*C;+aC1*u!mLW$2|{NSF{ z4qh-OAt(1Oxs}P6?kPvStH;BMrR$kvUs2sBDM!pz*rMRrDb$!&6II>E(MAo zMP~ZtnumF}4v1FbY5CR%aJ9fGV`RFInS742QWF3S>IHO;{*VHXnTQVL8U0}c>2wTe z=mQyv5~JAz)Q4R#3b{NSy8qpHa1`U`K-~h900lLb*$S1WAeHioO(C{IFG&t)>>Cx# z0dhoSR}=@xCW8TfX$5IYu5d4~B1QY5`&7f&jFc~7_3^C2e)ShGeq_|@y)}t0tpcXU z*3bmgN(JxhW6 zE;BWr6Lg-0abl)sWoh5gGJWjPBNjQk`=k zu$k9b#KaG*8hoo~{#vfV5lvWpABwyki=u^SC6)fDMKA%(Ft(0ojVFMMN?^@ksxH2> zCRvBx5(lOPCb8dJL+dWVY;7PSJ6no#7!p@j6mlJVXFReC2by!(aslHk0c^JE=VqIJ zg^6igf5(0U5w^w8J8P@R!%j-d>TViHl?VUl`5oYm~l9G#`ysP44^zy)sCu^3SLs1JU^NO()~O^(<8<# zfB_@ggg?RmsgYaF6Yx#w{sI^^AMglUIfGuVWw((Dzxo|qa`Re1xCcsDG<=RYpJuKlzr7hz?WHvJj{ruZ*{$i0r?d%-Zpev={Pu?p_XL<-pC~>hX zQ`N|oVkjQAlku{yu^Xg8M4(PJaHLKX9TE_pK_ZK|3<({2TJ2{izN__bRT(PEN=0yH ziMWmcaz*;4#4e+uBM-2sjq?sqqf)hNrdYsnOz(&_#w^)ibjP1c_H*eyT+%S>@gnc> zuUvn~I0!T))vrIC4f&;|Ftx5x_aH&~3(2uJIi{NP7wxh-J&IJ=qzRoFX7OK5bqopk z&akoAvps&xuL=4wj~n19!9)1dJO~(h$CXEj_$LRGF%Dt6_ua&YVw9+p&&Ka)=BsjO z%=QMVPYg&`aX?}LT6{6dj{_SajrJODali@+6j0$6B+G;o;vBv@qlkfxA=q9=@90EX zT&5M0>8gNJlpYGEDnUyNx1BUfvK%j98d(Owg7=KE-g~Kn*&rz(yg~I68DZ|TnyXc! zy;!47U);*`Cey(w2bdo>7eA9fi9~}raaccg00oLuksqub$e(i@ZW1Lue07qQLs+UK z2QhCp^$z0=|D;~C8G9c};_D#p-P(w|yv%VVPtFn!>7*9hvsqC(Y|>5zPDp9c)oxBU6M_V znUp@;T8H7!G&oPKQmds{uo{)T6oR59y%;h@2{l{i@i9LTZo)^>3ZA4oh<}ui(I9Ve z(z~rbBp-yjZCnXNzUjy}8INGaK)!II6qo1o-c4&g=QyW4a6(;1hx6v@8Ez$}nO{6s z4v{-i64EVHss;;_;ZDg=5rdmN7(6yzF)*7%(QvjHQYr1T2Np>4z}-*(!J+dvFktIx zsE|K$SBjcd3OqB$Kt5wfHV;pZ04m$U)t zw)rPmEKTpdR;KOUhBEd`y8Z;W`iFf9H@mf@kkA9N_)c2>2*~M^gT;)?N^a|YtCAe> zYc!e2@F$g!H{+&EWWC>X1uQY>{icdIG35QGLYK&Szv=lvi9EgyB(~x&I2IU4^qZ%` zm+_jCSH~dcqztzAL@==N9YEiphL7<~t!SvW>&IOr-BKG(Cx(eqddlfSS00S3y!a4_ zn_e%erWR$#EZCxP!Kx;{jkrz-t-Dedt(8pa`oixVL8uYKRhvyk=Tw)KJZ^PaW~@}* zg|>Z<{m>;=%^0@(jQlna;V&of^oTKwQWLJM}ZR1c1ffSd<^e;@YDUH@D( zH4SErCCYOp5bv!9@lG$qCWZK$N)Y=>AU0Kl_#TBQojl#sP%E90U70Qpx`gR@&YBL2 ziAd*2Jzcigv(}Q$X7^EJ{ypN^~Bwbu*i%P2Hok>CZTR&Tw1W^eQW?)TW=k z+i4Rqp{A^aNq}axi-{;yRZJ|^Hwq@3N-$Yi4U@}VOj12jN{J(B8(kQ{FOYAj1|#H! zG2aJcZ3&F$nY9u{en2Zgn+h&(M13V(ULlZNE`PcjqrECYrpVTj{9kWkn74^s#|TJd5|$C3ru}0+sO2o+x+|61#UVK#?YoVy;|`Ca0Icj#Yzw zi^4Wk2rnhzrK13zSOWO?YJiV+kw(AmEN}j6xY%B;c-79&u|TEfKh@}En}2j+r#q<8 zPU+g*bs*L)zF8XL&ATRB$g#IKipc$Ap;%rB29bW4I$-g4r z1rbghJV_Pc$#;>P@3E466TJDF+;?57d|rRU@-BaBNj@JwFSz**@!*3^!-4JCXAJ%idWL=>I*(V_$SS$ICmW-e=w zESb6V=**=X#gmV8;V=AViPiWmpU*N6<}p%JDj{!n9@EDp`_0T*`n})G{KPv4N`=FK zmepJeG&~z$*p~oHv*Jr?y+DfZjGD>ihRG1Jd_+QUNNV-I#OUVoFJ8xRkyo zM}~z!irhzZI!t_0vMWOT>3Wo%V2Lxx0fCzQA+l9b*N+q(cts@}G{Fed{fe+raBxTP zENUy_bV5_4TZ$NvJ*>x5o))8)cl&fVv8~jMHE@{>BpyO5*xbT%6dltS>F$>lXPETN zfUstgc$hS|C~@IVyQ+TYvh$MwNpM5VsPTXt#v~fz)YNGC$lKssm{Ejq$N1@^X03%d z1c#87V38dckcS2m8&M@a9);haU89$GP%_2X6$}49Rxwm(VrK87`>z_MAk)TDllI#+ zDqwowF(~Gcug<~IT{;^l%$A1I#g>)WF<>O+uYenE;Mxiqu>!M(Rf~#C{}xbPY{|Dq zKo)VBtSm#=dZ2ioK4Z=lD8A3BvuC-|i)tkmovg&cdEF-dfB_1^^@AvIwiF0;@i6Xj z65Go_=w&icR9U*uOodc!Rw6sHs!GHnqso2-^AkjA;Yu17w-!E)64W@N?|c&&oX5Eu zx74qvlt)wN4jRz&Q{if$=htNBB{L-&GQO|&N||HMOX4u+XED~yz*@lefQ%nzhIk2- za5TQFuDA@d?75y=C)-+aeq^;;af&<@yiYIBOFlIZ2S`hGFM@WbUCz`_#Nyup1(>9hXfHPFMl`sRc3h1bVy2PhOg5s;H`!bl@bo6E_CfGOnt zpP1%#q<1_`fDDgL6VbPW>=p}2 zOTAYL%LGN%aP6>O-te8NnsS+(Y-RHQU||{D6dNO5|HRA0i55Wqr_(A}eV?0HV)e=N zJ-IE5xQTK*k6&#dZDNQo7?tFkvFzlgK>bE_qyCbq=9a{S-XqvEOaX_X!h+I&ug|0Z z(l6~$?}VWCUr!a#Fe#qTpKz;_Zbf>Wb`Tf-(&-6pyI0obg${-INQiU4N9Oa`%&lr#| zErZ-q4RXv6dBYfxLuHVsSA%?xUHD6Ujp~riL^0TH z{0rrYx}PCY}ky%2*{}MYmmwi67T}Jz%hIu9#}(W;gRmnt76Drg@)| z+F=8x9(+>Ub!8g^@SS~03 zw$}rTWXd0S`>o1Iyorgt3u{I>th>u#^;LuQuRd5!<*+U;gLOkSSRePnnq3a7p$t|- zHCQ1ZEE%)3XV`xAs+aacuRVXRLa!&Lc>@FZoK$!k-N!Gf z;i(gm`XtWrGM2+v=~mI=Ti6U;@P|p!4+J^yrDrG$K!*l_lF!E*Pxg|ktUM?BT$IZR!{XCU8#N3jKQ)s^{*a0YkQ<=+&5If>&(56#$z zN!Tm+=Q|jeu9fzeNnUZS9167ar<2BxYejgVI%WD1TnQJt8a%+Rv*kl*-4{jq$~wcA z53}{B;}4C!FQ19uO5lDpNq9+#0GZ|FQ-C$Eor5TDmk*z&AS0XYQp;Z;$SJSq9K=cQ zd>inqSkukpsR{gDAfkg>)Clv`_~#!>jh`#2aYD5k|G-J6ok`bcSz2kBLqf5ptbcvs z58nR89m-1)?1oVQ0V{eMA7Wyg0i2IvEL2EWrvQ6s$B&shYQ4SkbYVnK~XE{N`UxZ@sy!!}w}T07MIg7Yvezaf`FQ*08`jhVI4-0syLx&v&e=c)xqozXVVYE`RQ#A6Y?x{V8K1-5 zR6inZqKsTkA3t?Flqaws$loh<971Ay+=~c4Lq|r(29vNCV)GK@CWVj~st4)TqoQWg8{YcNdk;3!1y-8o!Id$0AUk#jjZh`yb`TccmZvL^C;};M_A6} zdz9VD$UZJjd#@}~bk$3z5I|oId0$#8W+t=apyKY@8KH z!_#7S*zxcrL6Ci|pIph`jA?xF6Kj-8y6s1zJPbCIPef$4i&?7trc)=Oa@7)FtG#Jun;*^eer1h zW@Nn!XVA|IUVtaMO;~_Bx(G)HpM@By;I2hn^5F+J&@soi^pr)gm%J+X3z&Wvcq)2X zjZ~PAK{r{2`8b}bFpX?gR+w)*Pw=k7JO|*ZFl`}6VUB~E)fDD~QirQBf2&}G29KV=w9Yg>qA8R^3>QSw)@2jR-p+V-^rK(D5rpoC zxeAaJAk=TV1@i@YwVnL#4;2}~BXyvEO~X%kLB+qwE~TPgSkD3MHu6{88E1a++=wA11v6Jzgnkf`5CB+^s9UV_VMz@iyBJ4Oqp zNx_x{UeilNDLv(y5( zRruFFo~NhOmehH>w7y(ee(f)KkUeAO2+ga9fJ=yUfoc4E>6fqW5(<9l8T@!=2(KZ# zY34xSlG|@svO7ExrBpbadBu|d@|W5ym26+q{l0S!p*8Nmx7DA-X2Gu#CM9L)rq)D{D##o!Sy}ifZwsU+{dfIjw zs&pZQ9nqb#tpvgdGx`~Di`;6dtwcfvw;&*hI2=&Nz$eYy5K}O>i!yCaAQeD zUj@91-KrlB1D`H9QguP)u6FEkWQ`8NzW#9;{SKA7+H6fI?`kJ#LU~s^6bWUM}8ethK6 zws#fvbbxpUfwlA)d9QdgM`Xq`v&++Z##15obdM*S#>CxoiN@Yd90arbqv35!JxBDZO?xlBOdi_XM5ko7!I_|itFMSyiQodSC}#Zo?4Zq zoOiZwl1zJSrcIJ*kIl4)nXt$-C$cBhwNpAta8ENP-L1GA-2@f}ACnK*F^>zJ6iNEpcv$IQ>n0+i;&3Kh zu}lmeip`DS(EQYNaOgn~1egyN!$TB9d;px?cg&}fT z9N~>qJ1JdRBR^Q2HiIgaCfG?2RNF-;{vQuWbAB8ks2It!Y(EZL{-8- z9DL^tI^9E-B0x!%Q*%Ee#~s2v4&~sm@0;{&5POF%Xr5@NjRle{zAFr>xD;U*Ty44_ zT;p=J7$}KRg2c7w&9d9MT@wCwz8Ufi?v8vbfG?R;Cu5k-jy%}$fA|XJZMP;xx>qd4 zCnaL4HS1~JH(#)=v*MYaa-=lK9rJ$-%uzg>3Lg&(ho|XRVEc~zTWuy%#ji#)O5-uWv@~k*dVE&Yg-s_*L_lshp<_(LQT4vhF^`xN+i7L z$K@nEdIx2~CE;g59TcxXwY!cwKf(?)U&kn#H2Ku> z)%f1a@4v&?HH;(9(eUl;JLoqWjevpcm<(yOTh-nQI(aG*XelgC5Gd%fszF%w0{jP- zXrFP276lNmFhRxJ5HYd7aE7JQv0{6W)>o~q++w}*4oxk;;lz9w&UgeB1k!sK>#!<^ z6X+nUus`}ZGpquMCo*K5jL3%*R{H|DinhHk7)tz$7F3B0b$v!(2aVeDcI;<=NX}s* z5PV03MoXWuQBW;pYxSriG~yeuxJ4#?RuXGCj+Wc?t7_cZvRAk@(dE`O;npJY_IQ+3 zXdQgTLIm{V?ruEem-kL_Kia?hoB7YxoB7&vY$lBhSAYF^8&P#T-!Y0U`u~NHllaKn zu{n}Iy+PD@@)!9o602q?`dDLRLF9tgE9OPFUwTPnbng5sBGF_+G`YO?Mw}IO;jG=^ zqlj{aZoCtY2}o&8XZyDT9SS}GU_Dt9Lh*2lUD4_Z!eZ*FVh;{%8 zZI2+kH|m5##B4ica%fR=YpmgtCK|gVLVKvT@A8kFUgJrEmXc2(Z_WskZ~S}KQrM1v zVzlho>XC=dbjws6^}hK_lai|cJlG;eJy!!MOZoq_iFoG9a*w~^X!l~YyBCmq(U`3K z+944#kFQ>f0dLk~FegD1rP8yXpAu~?lyTC)CBf(0nl_9xjjIQa?Mg;=IT>(ZU|D3D z$qX1h#Jsbrj9%@kj7wgxw+%3JPQ<4x4hg0L`Dtdc}6xu_=r0W%+?=iX8}7k*c`BuqrP_< z&)U&;HxIy$w{M-a<`z_FI>B{#tR&+P|Cg2V z5j3YantoI@1LNi}QvK;s%7+=LvRDTO7-X`RFWM~Kcl$5kLW>}VHK>76s$0p-kNT~KuU2Jw9;oiCy%3NMz?O z3v(E^p4u$#3OK)@r3(9$DtVDyFesAeFfGS4i?H`W*o_z%+XYDQSmT_>ZuHIOYS0T- zL+#bZ^M_!bx#|o69Z#9Yvm<-kE-zyKA}%OnLFrl2T)d$LHDTqMJV4sPOuAwD8Rlp_ z`s`jDsy(qs0YV*zYeg-`5tAB9h**GpAln?=ezR^H2Fa2`P{UAwL%4?mb0yHeIRmtY z00C6r3z~u8&nq5TQ3vR(JU!Ia8yUgj`Q!w{p1tXox09`9dAMU)&K-vM8zyy z&LB=$*M9*Utr03p8dVzJlSXfXHSqgqAPeUCO9Ob8E)C)tCp_AUc?x{)YJUyCoe5;$h;B)C>wgAvdLqD% z1bv{POaOk_;P4w<_JtKDo3gQ_L0$JtbA$;vnx#fZh7nn~8J78WUKQV5nS4c|Ln(bi zp^NB{!Z6@bMm#8c7<#BXvUebIfVqnAFj7MdYIb5pVQ)8-pW$V$<7J8%|bLq6pffi$5I7W#kctL6hw;k)%a0ab?VykJ%)Q26~G|Qk^`!$Skxad-&p6@u@H=%lU5I`}{19&bwgy6xJ&4InZpm zxikV~cgH)4qMb%F9$A)4mg^xBSsf3}53ofH+dtGsllXrDy7R?#cx{L#qiD~92D~@o zeFomq9~aEPdlTMgZiiaVq@){AyW_LJ*Mfa>gQ=SyzQqv|ad`wGG=r4$wj^)~8wzuwv!)?@mLdNZ}Wu z#(|Ds2wE(L$`@}pifBNEs93V38Ady@C_vhPd^CxB1aF}f-YAJk8y28J+4rg~h6Pm{ zA2|#MnUiFN`52#IMDrP0(L(&x{{*fBBb5IE6$debJo3bPD!SQ<`&Z}!02!VgU9zho&wH{H z{2ImC(fl!QMu-zx?>80Y#GrnYBqPv?A^parRCw~~6u9`vw9x(AKsBF?HhtTb(dl?r z8I7iOOYURyZd)E}YmBUjZeMZxipKXhz3&|3d4p5#jyrE_yKZ%3bo-JOOk_mt0%*PE z4M@B3_FHbbebut)_Su!lHX^4)Oqh}vqW-5**S2sZ;Hlotq;d4z?zp3|8 zr*)5M>&`^IwSZrXDBsv^H!QgkZF+3U4UM-U;t<#yo&M-DQ(g42Ri+wSFIu+*RlzO! z0kjceT!@8GN^W=RdR*)J0P4aRu)4G^Q0r#5uI)};kGpj(NBU|~(o^RdQTm)&vt@>{NpZoeKhz5bT#Vh$^}+yOR{s?kS9 zZcvq5wa5?n$EtT@aKqpweFMV-7PHiMgO)?ow=mEX(I*#t6F=f=&JXruywFs3-S=(N zvCDkXeNpJIrn5ycnpxPD2V893@>HdD9G}6QmdCt$ao7bFW^kBK985<}_p7r=r2;l( zI`~b=xl<0JP+RgXVrdJgJ?;fAc6t8mk9#sXKJ%8X_*yfB?Ox}wS)xj;&2AKn*i^mZ z{4{!^&azL(;B$d54wMH$Ib0MMI;jKsHy#7{B=?ocz6(RYlw|f!a1=0nKdD-icS``O z#}K55K^zC6vjX5q#ifJb+4Ak~2cn1|)0j-b-&h7e&=qVL2HvU0cZiYCGjFFG@XsV$ zfq}Ya@C%E%k@snwg=QH~4Zo@ZSmLuX2A0ND(lM%nSr{3HAaNMNim?y+FrcHG!fv4l#6ai1*fC&+ z4;rT6Jyjy(B11}g;n%G>IBs)+&;vVUi7&@y7f!(6v5|lRh~$fBkw}Jy@6>0~u$_J> z(o@aTe9|~Lywr@rw@*55Qc{o6W~JjP0IPIt59y;;Fr2L8tB;$H|5O3p*9fN4~$gOVKEmQ9FNN0 zHkwW#pMW&?0lf^%oL~PUIF$72aN>FoFeZzGNrZhV@z5eNm2mp7#yHCy;`>B8A+l>2Eqw2!O)U)EqivF3?6Vb}m&HO$E1{ zQp1=gxnzLw(^F0rknXByj`~?H*4k*Wp|l#E!8MUGr2ZT0tVHSjvI0|NT>^D2-f%^Emo192~QQLS05asd=xRp zsb(!GJg&u*qj>F@rNUv%!rL^8v^sWx9`-^1W&@z}a$3<=c~Jt;R_{&$4VMcSB`q+5XFg4u3O&eVKto3WDl8{F(B&U2K!m}A7 zd>qfa^)$mpr`X_2aO*RxTth}@A&3Ce)llLw3`HmbMo@~Y5u7~A6)-PkYa~kNc|M2_ z5v`Hysw23-dsgs08?j3{gamzUz-t@z87r9WzcaIZNzfAs?P;d1=4!02OQpEnPnzi_ zu$g#6LJyzNMh+dSmqUrD3h)?hr0N@A8!z}LUmHJw*Z)tn(cD0(9d|Ia?)x}-!8d|i zoe0rEV?hsUK-u6<6TnCTe>tvIb~KJ48P-CkmL@%V{+1Ic6gmRk{4LtxRFuyBcYL0W z9F!YAhwU@t8_2LmCJcmmh#m6`MSUJ+zK*y)W4>CCvd7&EOMf~1eGHT?UFBdnkaM(? z@c^O=;H%aAIjPlp0EH&j6&Gxy|7*y;9@;jkpB|LLr#OWnwS)|KtUntDuyF`}eKQ?` zn{aqfZR}EWc$3Lor{2ST?{YHVDVZ6u5(srI01fbTc&H0e_k5ZZ>S9ckR(il{Mr;dE zI1jsU-si%((;&$Rc_49E+Xwk~&Dr>SXxoYWyXJKKov@}Be*<@hiYFi@PuAflteRGY z!)r55q2keapbx8Pz_kOMgio+#hsJJnn}k-;T9N5w;rncSpPVx_sUJJG0)-0&k6ja4 z->$%&w---@<2{}~g6sZ_vVwYp`QNwZYHemcvg^|kc&c1W{1I<0dsxfQClEcr4Kf0t zP9Z#nk3G7+52S0k>7XA#WtTxec!&~u)4E-b<5G*#Hh;XsqaS^bwaIZ*mbP4o#c5H8 zx6R?-HRt1RZQCjQyXO7)dnf`M+BYB8c0_TyiLfc2Xzr#jHsFC(7ejcUE3$Z~kaep$ z773a&_{tZ#@H#b;r8F?O5R#BshrA$%D~+)a80yT3(&!X%Y$W!|il2Y|EuJ_uH>w^AeSySnDWaq3C}44 zcuT~$j&q3E^IeCC9ktTnO!1mA0HhgIA!2pXzjNgWE_tc@w?F_iIfAp_U6W(S2$H1R z_t6@2zDgwf_zYyrH=tuc0hsyCr2ZvD9!p9@ei$1Pk}VVUsn1M^uuKGht$y38x8Wk+ zgF0DEwPunn(@+%*7?h{}LSF>*fp8;W5@-%%PXpILNNETYT}hPj3i>oHt4hPsUd}gL0<5o9)8d>h^DztgSAF3hXV{f4xTk^*Spc)PHz0mM?1I zC}37VeEQE(ct3!=BO4VS5GAg*!;c7GGv55;`%!4}MXZ+)cYu=a`ATaeAG^nr? zrO+cVQd4S!xzC#}V5)_T1B3c+AOPFQ#QEQ$M2YI8L}4v&YjLhOw<|ucKr6Z8^Jj>z zh>Vr%l}4_9r3n!T{H)-$K!5>jvx2R75?gv)EsBrSS~*?sg%@(*1qttZp`n;Wqfj8g63NV0VXRKsH*e6Oo z{4S;x97Jo00@jD)B|qq_mP52U|(lsRSY; zfW4K>sMwY6_}7xI)P$}yRNj>;8%@RtGqEyu93#)zdEq1(i0mW(@d_18OI{++{HxfAWYDS8Fwa>A^DzfK zB=#;`p&Ve$HHam^MB|154F0F$$&zYf3r;J^gx$Z)L|7sZj-LH00=9hU)`6fSc2!^I zYlquqL(JVKaoJF+M;@vELx5a7Q;_7zwH>ADT$ROXC;mcj;G?HjE&wNE834g@uZcYd z8~A2a9~+!eY-038vK7D-6cvWa%rsZ{ci`e=#6bLzz9X~T>bHC}Wgp25% z*ij0F%{WYODo!`GBDIa)TjZ3+m}HHu@L-OOi|AzCz`hf?@f+!rUmFVC&#~bPm;%wV z%pj=`x;=@B5Hs6N&(IJsiIITfgXS5^Pz0CXXXBZ~0chD}%KpS>ejhf^VLVgNItBhi z`ZPHi*%)u%I5~9xzrgxUMK*fkBibHt(G<07 zdka?!)Q7xlPiTO%9j!u%_n-vf!k$S*SWrCag8*BL&n!^qui|&$UF8C3&qE$F2k}kz`>#&Q|`dr?!L;SktUI$m%R?jpxfo7B^t*7u7dMj$36WOrFs8^j1KXfW~4n-bLc@A}U zBJ2c}5pAs}&<@SzuE$wBY;(`7z#c2Pz$17lNW0$5cjo3vZ*(`P+Vvvh{D!_77DM5Q72R96V}mAYj{lgybEo-824H?Y86S zgF22v73rwCrgYSN?bD!-iSGJ2p22ZMccDXcf_p6#wMehMr_1SXjV7H}ry-r3U`Lw- zf3b8l4hJmnNe4Y5nN`8UpTQ3uh5w-1@Gq$6YrwNwJ*c%ggUYg~>oZPW5JDj;NH1W#TT>ZqWm6Zpsb*vk%J}Fp z^vpV--G?F5S&xO6#dwtGtz@nFRI?b&>aDyMO~P<{p-z+j`=4c+q^pgxl!q}4$8D=y zU?kQ0yiSyK`U^W%j6aNdt$3~j!Wat0c+5xRTu|%j@j56y+eFl0=U|!T4h>4m5YC}7 z2sE5n7PZmY zqD$`5Ry9Hx&E{`dC~+;O=)xzT@v$7n#|Gry0GzY(YYmS zFpS2t^*I{V*d|x_9C|%=Zt`2kP=utz+(qph05`jU`aA}hZX!k+md{|Hc*gbsl^SU} zOd?^dno0`*@Mvk HCEo3Q3md?_g`vElq!THDT4tPj~Y;Ls23ot8ssxfnM5Mcr{) z=urKk6->|yI{u0Zgg~g^0b2oAz0j6OKgZE;+=mhMXy^5dcnx*Er8EUsxB`Q%#%AOw z+s>2nEi`!s%?*Iq-BWKW;>F2AI2kl0O|Jn15>8r=K|(GlY{t@%**7f;57`z*MyT-` zfT3ujNs?c_Qyb)0Mh}Jw(NufCVFdTW43Gs=9&|SS*2E%a%QF_-5G~fmg;&yJIes$` zH6KY#NCl39X%^P1x>&bf7B?t`brel>^9!}SOs>3=YQ7clDlVLhAd5PTR=HWKGGsT z>$&t?E}r~KZ44Bcy;K3Y^BHlHClj|Ye|kO9P00%+Q`kRUMi;ZdJuY~D?q9u5=tm^T zW6TF<1($S!#~1PG<9Ldl7ggD~Vy?(W>*bUUi#S(Lg3~5c;`^V|;QP5O9DVfi$Q4)2 zyW}E}r`D9j&yfn19z?fxozK27hbXjxT-$>>iFjdU5L|7hEy# z(o2B&ZtSxtY$T7FvgKou%OfAV^3r)Q{?KJ=KNcu-nY4kx6>~57C{Lp-wlObGs=f5W zh`ir`S`UjsTaMIlIdmj&=cM8c{7z^)O2>$SK+C)q%?sgR*_PJk7AZSJ->;lI|4Qkj zfg)E=k;C6>izWN18aYzuF(Bnk;NC!F1c+j-MRuZb)Xo2v-a!n3%bt7k`(OLV=#JMK zYj*DV;}JVXPDt)Z4$jPC>(4#y`?>hnF~=0BoAQwkngfe=pljk*)n=|LSFj$;L4y0lSxT&>u zKe5rRdG`x0Mm{!egnYQNVB>?48v`VG%HLq-Xksr8b&?4m5jLsofskEn0+cwcN$7X* zeA7AJRtsl$;rEgka{=Txitlo)?)vil5P4AIhBfqH%9#9mEp#2ODcWbe=vvbVmjC?u zj-Tx2lN9cOV>l-Psha&TmS()5I7EL57Eo#S5zYQ7Y__r4C5s4Csty26jwNWKF9)$k z+XnJo|Ad}xur77LJV&{Cl$p7}(=^0Qq~;&X%N`vTANVm>3X3>&Pl z{S4kAFlZqEmCry!B-O{3Y?)D(-r-A!KP2ZbzsQ$98$I)eHOC27h}z?-Q`ylW2Owj< zY)#|KHoIyz>;m=4qotl99k;_1BUo~ZJBi4)e~q@B)Am}l9fYxo32$PZKW&*et)(P! zzAq8JK0>wRKEs!|z@K=OFLAMtNVQd4FWKnv&(lsG7sczwmrWMn$L8OH@j+W$HCsjg zNrN0cf;T7yNEF!itprC~yd&O;GHueDnD&61*5pZ>&9pn*wAr4tFw?Gb)54y#DAVS+ zX;DvF3)4<;(^@=fwM;w2O`}j5JVo;IUA75Kuq~)#ssD76oLvV3aZQq+}-Y+Ye*y#?O z=Hg~`V99_C%=sRthRk0k9So8~qru`g89Bt)bOefV+)LKU&3hw`hQ-Id8sRbo&qX&N zQH5J~i0jIdaily4Nd#ObC=UP02^uGqUK|M1ivxC5i~|R3BR0z|)o^ffSR9NlWUwy| zfeEd?xKK||ftIOq#LY;NXM%}yZ74P!k2&=m=_xB%(-R~x zpG;0rw-|$ODWm8umLA(H6~i(-iU2$BMtZY&Z&vIJFCZ0VT?Xy*5C`%Kh8dGhj-o(T zIKLpIYm^U{R4z-5VbKu73GxVuI_)0q4-Os5YAT+u#l)}x=jB(%{NYY1Ya2aWoTgAo z23rw+^;i~8C*lZ5KoUCN*^zyrb$^FXCDZvHHe9FkE<4Bck^VCG@U)|4_<{o8?JggHvD!h|8^|*c1-ljmoUZ0+`nlc@-W&a zQC1H#fDn+fRM9_eN4ga~iHRG?59l`)Lm6QP^555QDw5PLDEm+PEl0qB2X!@&Pw6)m zRdy?UTczJbY`L~o5(U_QuXlQjDNPs#cvcalT?IsK*TEhOi$UHFiPpNi?0%6?zixjW zs10Dh7=Ez%Q_M8OSyhbUKZfN-7a=tw_5~nR=Qze5d6~&I&{SP~XN@eA%7^0L7Ll*UnM+)LSUmDtQ4iG`G- zMIhOE6;tZsuL;SpFq6XF1R_f^`Fyvw_b?e)Brpc4G8UP&r~9j{kYPw1gzp3JX!(%5 z`1Q6%2n-H!p+f-{D2({vwj;FeDSWDkG1?MZ_bsNj!logdVdW5ybl`!*2<{-T5lm?8 z(JivEYa|tIWEly(5wU++O4wkYl~Ra#a;ex}!X?wT`SRdmU^z3#;kuAl<*p*Oj!62c z7fMXQkWxxPXI6{Kk>Bu~CzWZ~h-$bI*|jT%M9#+XG!S<~PSd}BDxC8zpEbGj=4A6r zYH%&|bxOnT1wx9}oOCAGcQ2`ZR~e@|soN~;m19jK0phPljc+2_0(AOuUjj1p8%gPR zCB-NbgmL=^vm@fvA_i(pSTN<()jQz*8VbwJ6Rnu%316NTY*f;zImsBVI2jv4h>|Z` zbbQ%bM$0CyouLA^U|73CSsC_@fqSSQ3w4qSR}-p$tK!-t;-N8NV;{4a)UxPlSfJwO zFf_NN3BUN_1H_J%r!~qm7<0G*p(7%{o7bF2{bqInu{1Ic+M*a7bIAz?Y>PjE#~{}9 z5UlO@7-)G0q8UF4E6feG6nAM)tpQ}daws+_tvSj>~cpK4T!G8j|NIo?!_+>=&hnXp`y+dat-hymGci6Z3>nmiP%x z94-SnPZMy_i8*5y%UWfAgk9b5v%8w_`X*dRSLcRnhP?`##PUu(BtQqgE5sb!e~zFWX2Bb|kN zK;l%S(+9AuCWp~V1ZXvXfl=voHJ7^-2|pa68qUG%L`UeH6X^-9y92_djEuK;V|aMK zjIGLXTei<(#6pG^LMBY~O{8}P5bG)|!L$zwtydS^6Y#Ne5ibMrb)=^RmcRiO{Gz1{ z6K*nLY;MjIZu)`zrQGZ~7;bhs+}tucH^SnaYPf>+K9!>R8lpU*tqFdOvgt|#|8al|TkVaIVL$?H4$nJH} zq+y^E^;)E}xS~{WJPK#r?XTQ)*)@^n(mNzh=zyIWj)v*Due6Oun^19x3bb-#7(yr_ zIDz=BT{s!43nxSU2!xX1&Ox*c{El?I*Yuot$2!T}~c(Prm} z$X|yf46zKEct!37o7zIQz4s2oPdvd z-F-Ck)qTq{fBXW_!V$pn_Wgmj!wE%JfMBHg91Gffv!#i~|9-oiAO$}tM1Q;n2qB__?AY`%*6?#xMq*6=Pdw5iQU!8{(FR!RT3a-9m zZIpCm|KT!et$p@X0Z0xx5U*+T>nis<%()&;txQ1&}e8en9MgQfyO7PXTnY_eq z4M0~0iYW^47k3?a%ERjMo{9}iO(=O5#O^OEc{6<1o|5^o3?F$%JO!IvAQ6%Y|mP4|`UQ zBns|*nSsPZyC@gZ(Qj4`-5?0yvM`)8Odc(??6jLcT zY7Z~q%6GsOhzeji(KV&f2p$=b-f&<^34Xo|@Ssl-mYY7MTQRjC-Mi{7a^pxyGGgR> zI}knm)rC#Sl1_V_7I0QhjW7E4^O(0dp({S!Zu&=QD=7SV2NqhJt`9As7zwx;E2W1+ zV5NzNW8^69Ks;x6DfAlzZvzGI@2NIh=8B($EuMv*XYU#h*-vC8ll;IuVKA!hl)LLl`xNTB6z~QTn=RpSYA7C=yAidR=O{vz zu_ftT_X{HSOH&ztZ1a1{hU;Wc%p|Qt1i`_+$rOR8x%&m2$Z;ak1gkPJ=r$u2UYJbu z<2}BOe*>X)!ypR47&5s#(8mKtA4VL2C}lhB5ms2fMnp& z$t#Ru{bo^<0twH?XMC!wzo?Z-3wH{MKJF61?&?}t1=bD+7WULA9(L^mVC(R2%DyWI zdVyY~=b>PHoA4{t^;uuzM<-_#SDvM%3u0`1{AHBP&%fTNjs)8o)k|mOy0fEDGnAqT zXZ}f137W?_@>WWy%6J6hwDxlVmGkaYTn$@NINen~gw|cay&a+vI3{`zUzrP4>OXCk zT4pxn1zLvODc3Um3Lz&y1`^NXuL#%wY8eJ?{6$*E$S#Z_#_@%^3gG5|^gi;nunT{j zEYSri?UyAT7faaLRCos0CUu9S=mco0QS$pGGmmQW-&<@YQ@HGr%ypM}B=c0xYgFw- z9m!O=kiqOY7~m=!Y(ZQw#^Si(lnPHjTRw!=odPwU5)mpD%Wr<7l2}GnEc?sFQpxqd zf*9FIg8vnQNZLXW87Ug-dK3g5NbE6Pyr4UXRne!SQ29(5mHljGZ{EdsGyqNy)a zdwA61uYq;`tVLG%1PhPwoph;3`2OuvB7Bm^5k7fSwfL3g6h00lq{V;;9VMgi82&&A zrD|@d)GngRKc25OZl!8D>^TG2zNc#dnU7GPL$g^qsi!#=t`NKU+S8)?JCl8$D5??=QQSb(h}zxs=Y;A^d5EXKiXL zoGMeV$>7hDe%P#iu!DPH`ESI~7<{&w9{MvPL#wXGYh=ib+bmZX+^mT^R$aujL7PS& zO>l!vJC$#rHefQVj%U_>n-!JT1#dN3ahw&X8Yl$W?GZc0oJ101vpg(}5L-FCliwFc zh&MNZ)bY3x2SLU38wZll?gWWF{Z)-VP51|1RH_wpsB2u&87vHp`mdH z_p|d0i4fc~KM=4tSP40D+zGlJU%3;M$ZW9L@e2T2Lni+NQy-DpVCw5N_2HM$^+xFx zK5venao&kMz$2jaG@VD~u=5SpCD!^!DEGz7nW_ulT*`8e2Vv_U~g zStii`3VFdk6bD?){N_Xs-2E>G#B5z_BWMQ%!ROE@+N`WcOgBu*g<;`37+4@t-IRa& zD2**4Ia$}OJ8{)F0f(-Kv+e&kVO=Ly;=0idWY(4ftM;Hd-4vLc+l4`x#IB{$I-^-jYtD!#ourSOp3w=c43}lm&Q3(X`Z26 zcg-;Vw34CCIX00s48nJWUh)e5{RID>b$iS=u8@PsD3EN1E0E^{GK=@K>s>HUyB@2@ z$8L`hYy{5XM&`^g=dmUyThha?SwT6~N%3>5JqgYUT~bQ565^)`ky--CFM0#{c7sjW z7znHge};u5Z%q~ryQv(FbyN$vRXb;i{KOsmQ!^Vn(;KN z&*Zz|2J>Mih%?DsNu5PODFLPIO|5($g@*b^^2`8fI$;E>hWMLA-YlyB!ro1q}&_8NV(Wr{Z`f^Wn?pLxcUW)_h zL#+%PZfED5rn>QH$Ks?I4X(lSzn&BD`Y)W*3?z2J2BF$3Y-ZoL)<_gjOz{f}Pni7;)aU{m z4y*pe*&-*xP3nU#^PE>)=nzT)X_S+ioxeo;<1&p#-1)yq*EtvzWP-My-aBKfCVvcv z>5-TFtW3RtM>EVz!U6wml9x$Oy%1DSn#-jB&yAy7oHxS@pmGl!F<%qj8FKMlH~A1+ z_d&r#to{L`8+eKrpl1-!L~_2>A7V`ZKm;afkZ zhfbpCZAh@6k7=p+`HZV7ejd8a_u1!+<*kYfWbl_^%0%bcd-aA;VK1CA(?~$B4#BkQ zS*?)x_HDlcbj6^t$Sp+>PE6_d-T-*H##pVxiYx+=6!yJ=%iz1$bYK_oaAWjQ6D`($5}I3BEwdrW-#3mUFP$jU4;Jurh71z8Z0Xt>TF0OU8@mYStuSk; z+Z;PAs?HNTkUfFb^03G}n2lIy7wGY4N49qKV*>H}A#`mBr_OVaf#Bnf$0^#PIVp;m z)qaByfcA&h-30d^at_*k*8i8iH;u2NNaMDf1Z6QItFoy_1q2NcHbq2oLJ~+IBq0e1 zikbicqJhLLEDmZ^RFsHO!4);`s8QpHqmCdMS5#DVa7T?Jqo}AsaU;p;=c=l^`*eq# z%sjvM!}ETa{-tuAbN}nEuCA`$s;laRYqNe+OTOFdkzpTQQ&sHLb4zzoy`Zj`KB6*B zi{215TcSSq9i<+2*YJB(*G!D73LpC%S{>=3*zqNf-2W~AT?tGnUox+(plFGem0y}) zvb3n6#LCHAa)FgN)5^9u`>=9dH(<>$?})Nkb#mE@Ha6t3VG>r`}0P*j}1#L6QdOY<%D zIWU(WO3YtAFF${NX<%{Q@`A6ZCyalD!!s5l&;)V0ARP`@!=z`(%t+e5#RvPAMX?$5cYWO1cPk$=4 z5+`L-hSRKRlas7e^)F#kl9iU3O~9CzWF<~ZAt+{3_^H;^%miy%a!ztqww08WU}X~0 zGt!f-#FXS|R>I_DD<>-?z5@sf6sdT2Lrl(GuK_(JrX=Wv)YwIlBM_cBc5qQeV`Z9*Syy4o&9eP*n4AXakwg$;wDm zwyYUx+LV+$Eg?NgS+X-`WF=}_^0d?(RS+tv1obIheN3E@Wm1_wBOxs{XSQ--!j&01 zwTu~)Q__>O)#v2&x4U0>!FgOiW0env|81soWDLD@$5(!c+>CPs!;?=UB;w`AhTk@s^ao zIB&^(D@7d{nNH=LUY=K2P`1KK%U`mvY>|~j&C4&#FR>=6x<50&uxOrAl@G^Hsg+%p zSC(&O=a-eKN|=?e4j~TZNkb>`si;I94*`~}{IZgQ{H4SREXglhR#b99V18a%USQa; zVM=bXSk^Rd+0G`MPgp@%O}K^dAYtIp5pkuGZer15e$iAVyJ*GylDzW5f_bI+v3*KcNC;nMuJ z9F2n;-`UQ*QYz0v>h99~fO9e}9cCr#->V%se_X&CSW3BGO4o$-^mN!v_=?b(?;{Aa z2+z`w=R-mRp$}a_t|r72&L&()=*|GbVT2^YLc(2yO@vPf7TsX_6GjqJ2=fUS5vmA( zCA>}ej&SHD#3P(em`+$oxR_8)c#iNM;d{bomp0lx8K`nL;W9!k0cY|p9o{0;vttX1DpEcnv6}2_7{Xh_<5OA2?c~( z319K+BVRvD+RruGQ~%y*pT)1ub=({df8Ek(-|=qiA?6)p@9_`n)=Q1{_}A#B`$nVP zyuH!>60LGa*e^gDa}JOP!f|xx{gp7O89zclyU{*}a5o{^YO*hH*JN*uYO=p2Ol;p| z&nK)W9C1jKU2``~UCZsV==WC+T8^nKhu=Bbp#lzQZ z6y7TNOBMDB&MrA4BVk4NV3&Un>h+g5zu)@H?c-nlG5XJ~cR#ghK=Howg-+C*->yIg@?3QKn zng7<7gbgnTYD@NX58j-(rtq7;^a$$x(kFOOd9M1Ui#7eZ?!l{%{P^wPvwz*HQc?K< zp8YaAsO)Ot@lY+7ns4s^3ip%#(6H5%Q@DJba&yY(t?g>r8*l2%;cj^udsBSN@-pf7 z4;qe;{az>grM=is5_S~5TJ-vODX$k=)(3w%>hjau?YCPMX1$ixdVQ=n>j~7z`e&Q+ z<~Ydt>VZ36u0Ae!X!oA+ukQLLejv9$;{y63%54PKU!Hd62Y5&r%5{1^_Y+0>fxyzY z3@EqUsUIxoDr)YF4sv&&g(CTP_FtNQLu3)<4nNza?en1lO6ZR#OD>Sdu=~T2|&hjdbqpdmzbFzu8{0#FE=@bw6&U zCRv?NKYifPQ6ow_aoajF{2zADmY48k&5HOOeyEt1x7@5w zm90Ogx)|8l|3v-pXUfcds*`6IRTW2C>i-CpzNdIh9^IT8_ZI(8F%LK8r7G7&C28tu zCrjPiF5xlWmtTKsZRA-sY4EU{%~Pz|39RF6H8UiSX_yp6l#-l~WR5s}Y0Nq(H=e}U7b-15xamMWW0#i>cOJ66Nl?`8$-(n+sM>X% zr9f33bDJop@nl<2Tv(9LU3q798WDHP*%#qPjM+oE#+2tePpDO%S`P4sL_YG|nJ}-U=|*EjG4yEGg+q>1)kV=bHd+ zH5{3Ni8Iosy2l(J1`ZuIa)C!bGa)Ulg&ybCRhv}{-S|&V%b1vu)>`^xpY@C0O8Q1m zOQovQln}_w$VpDmNhK|{kUyhmIZal9#Eh)0s;qR(u^!A87Cu@k;-Gr?4+!O8EIrt z$IVI36hSJh$1FltvTFMC*-cU+(3*%Wi(ZFQGT}8yQjXwt(H{Dc@kS>(Etr^YYph<2 zBjluJ)70p!*?5H8B|8UZq^IU&dt~*|={|kZqQM*pe|Kh3w=&Ta7ryZFe6+1 zS_;{;6o-?VkGu&&Nesp&H~dCX@|IXfimud=VUKpjV| zsk*7#RHO(oR6};_zPizzdL@<2zfydp{!W{bmXn&9ma5Jn>Y&sIgj}5h$+I$PdQaDt z!O>LPuWDxxaFlUVpi4uS+|1PM#Efhjq&=&`i35_ArB0eOBRh4bS9LUQ1QJu#0X8`+ z!HM8#Ia!=9e0xu2QWa)GBJJP_iQbi|?2lDz%gIQiiJx8N&xzJ}jX?ghlBfGLl_Ku} zwCE9JT}cVkC?QT`9?4mks$t1lSsAMMoW;>pF>!w2wSuGQBG&nEil3{JdtO%WI>?84 zFTt53T&YP>?-=quBQ=Xc_lS<>nml{WXxzn{#(q^DCMRd7p5@69SyEeXULl0@sXpo5 znmuFMw1g~QIUB*eUueaH_X*i*HC{<4H7S+rXp2P)>e}p!P9&+ntx4+q-dSJJTRK_l z^50os|659up1MzHDVg+IQ%Gyz(2;Salx<>awz@Fs!qPVViisOoUBR_Qzi#qbcyHu? zoicl9Vo_1aeC~G)-5aZ+`nF8n+L&8C&ubU`MupoI_i@$g>Te$j{($6|74X0hpdA>E@Go`&G+`cC1Nc)*QZ`Wl7 zRT?b8lqWXd{_}?yO$b&#z5M7WdL;>8cG}AZZn^Z_OSV08P7!8zBz`0L=6vxB45a`b({^*=uT)N%HP_~xtk zfBNBN|BN4%_0z)}zV6_*kC;^q4&L?CL$6Lfd}Z+KLq3}P(Br$~=ic+d=%2=Z8Gp#= zZl{djV#n`zf9Brd&wm>4v?F%Y%MI~gY`%T@%+VuFdjRFG)AQ~}-JGc|c$U6~DShi* z&GxGsn(aLjI^WrB#}d*B#e^FPDvlFs`Tl(io1=L-2p^7{Qr^DsFfmSFkluNq*}nL} zW_zuKyJ0QiAB005YPOFg?C0~@u#oT`pT8ok<@4QyTEa7gR|x+kd`b9;&`daNW3%0d zaH1z%jNN%vtlkj2uZx{m#m;MD^U9cazNx;q*tGo~PZ-C$;6(Li*W!NON=le*B}}t; z(d>DDqp!H*oUIMeoK?o7S81SNArIj03$5_`9vweWpx)*=PUH06;-AxQ)UZ`s+;+9} zpouY7=(P6@4yw1voD{;(=oy*3#nw;PdPiI8dTps^<2HLEs5>jqD{b%F?*H^={3J_1 zF_^n&eQT}nm(^{!r7v=py6d&{^~vcL!9BC3?n=oW_Z#L?VP1x-s{^m=v$HLAIbhRh zn$l-lbxzf7RPI|`bq?i~dYVbVYWp?3y4|(Zt*xc*i!60Jsdj6sT6vbGu4k4$IGl@~ z#YL}W_W^U@aC>K|JGqt}2t03&rX^%roNrS}a$*8&;HFO9xtTJcE~;y^rS5wyea}N3 zn>HqExit3o4znHpY+9O+U*LCWlw13wXnR@5EU$6$4?~&d^IQ6z({H%KS{Jn3{SF4}? zWA}t{r%oz9eB{mv&Ux76$!Tww>j=lg488n2-nkB3@wcx(S~IbSSwH7_r#;iTUYK>Y$DvqN^w*&+LO!s~oi;U_|`v%+CA zpO+GD6YBLj+iN+;=j`C@hVI=DJ8D(@x$RzCcjOHdgF2oSZtrci+&Nzp&)W|Fg0p@4 zdb2B0(&-ueGpbi6K@WXynYQ^JByNSe9;m=)wKT-j?n@)D>P1j8S59IhM~znJXmy$n zoNm$k;ko-lb|;3-{xAIhrwra?pLD)IWKSggh42>P@CQP68sScY+E?8k{O|HR@4t-q zzy05OdA>;b9r{qno=v!x@Fd|Q!r>c3_6R~5;W2_Lzpvr34~Oh@!o`G_2>S>pJ!14+ z_!yzxqaph&LN(!I!m-R^uz>Ik!PyTDd>;K+$Sx*4M%YVmG%tgXhwLQ;udTJuw-Kj~ z@GGIu6Cpc`u$rLaJ_SD|99|o;R}tz7Q=SajFA!Qw>;IMQM9N*QdoTIw_t%h}Nw}Qw z3L!+ueu{HE;YEV?9?YB%^?&ERnRzbJrUv)DsdN7A|8T*VFVFc#zqht5=Q?Et{r2$r z-K6i_w>7kSJqqWcA>Q{KfzaCZ%QE-%o_vO%M8v~V~naylta@4Wy$5(8)IzI4)R-y#vdwvmq8%TK+^RxQ+lbkp6i^x$OLO2@>W z$y*X0yJ%P#HgJ9`3AiS5M03umbW03y)4`IuM0Mv&Qe7M;Nf$!8I{Fs9D#ZNC^ zJU722P_!W6ytgX#Mdpic@H#lY+iAL`LxlM1v7%J~4oSfuw zVVPXHrJ#?mgX?E@asIplUSS6&m*g#_Nw`eQte*{M`jyLe0992g38i8 zs8y9rq-%9P)p(q?Bc&JV{b%CwJ)yABZ^+Is)V-YjR@_vdD4(0p;JO*BW%_4LlwR0@ zyalRbIB!M*bb;rf5`Bi-Py3)4fx&7pNFdxdOPvsgIGaJv16=%s0Hkj>XU z`RP7BznqTWfw?OJdGuaaMaLCoAk|{vKy&`l&iqr^Q7M$_B#e9MfABZkrLG?oc7UGr z{HLqEsjd{i(cSBj8%YFW>p$ODvyJn0Phlm~<(`znXH|XPlcEd^9#}erdV0oxSS(X% zQkSSw9A~yzy`dkqz)CDyQd+*4-C^pX5=D`UnUt^kdz5J}QIa`Dt39Z);!jO=?NE1O z2P-BA8Rcc+EJ$kE42o#oN2Lav!fhR@Gi zp_?_6vrOj=i`e=K#WAP`u#B@Jf73@UM}G;i2I|c()u%a5pyI1Lg0}k2>)Sb|vpkQe zQwqz#Q{sl562}WM>{KpuQZSWGot4WLq=FXS)>jeMey6NUBbWb172CP>YkH zt`}ZEeP-bufF6b8JKfLLr0krhIJ1g@ zcM~OaWn_sEuZ)X(iGGLCcD#~uh8R&&;ej{KO_I4@$S6c|sZO?fmko1<{>V_C@+HpT z9hDz<+)VmGgJnEPgrk`a;(s`Ol}tE-8s{UM?TzBDN5mNqYc2Wljywt{8ICuQBAIVGJab}E$wc(=ZI5Kdm%KA-l2VECdxp~vqb2=c>9wPD;Ou zQonxAAks6e@e{1^XIK;XU`?=6)f>4S--yv!ES7#VCp~G^07_mVF&7onsa{TapU`!> zZ7(6*P539FeU@!!aiBRJ2c6f27JKqvXersYT}Oz`vF(*-nsBSj*kgumccxck zfbI?hhjL};Pp`We-&8XQ@s%1G&tNI?uKF+{M(eQ5TwUJsd^&o^WirZReL5s?RD6V}AUT_+^v9e6AuKztpxD5SsX$ z0(JLGD!b>8B9gC+65xd1TD=a}H`=>e)?Zx-J?&jiJD~6dqo)T0$DeNHFH!rKJ?vS` zqw>g+WAv*P=WHR?Q6rrfE{$P@cB>O4}1}J zWD20fL5!J$!%t*vA^dtU{BQ0yt$@s$#vG~Je zxCov<6o2^DF#O@!!|{hbNVZTcm2MO1~ zGMI4(V-Mk$4eWo|?Y>5P7i@q{aMk^c6+N2md4Ms6u-$`<9fYwDHQFm-`Nl?j1AO>l z#|+q_fw^!?U87wAS1{hO8YaBdXxG7U?>E}J;U?HVU|CcCO}W9sJ(L^l z^)2NNPydc`hi80Gxx>u8lsi222g)5D^CRVc9QsfA!vPKW!^C~~!=|6{hj;&qKRor1 zMteK_4DN+_e=^?nca@2A*tl+`%B@EgRqi(M@*G z6D;d+##)YsH^3aYhH;l=uo13<<&3}F1e@Vbcr4>D_d~lA{sX9Yhv5%DVC-cM%wyc; za(LKl~>Q!a>L3 z51)h;u*32A!2SPi2G;17?5_3(6P4dLDr z2H>SI2p@sD@O@YT_rYq|e<1#FGOUO5phau@rBJosKLmsDJ(vrdVFesK2!EIa>tGSA zhijm9vSs}Z2H<-z2!DjRu+NG3!vt6j3t=6+1=ho-p%rUcU%~*)8H_(%4Rc`~tbn72 z;15e-9lQ(H!&jj-)Utkq0XXO+{9ysig&SZ6{0vsZ9w*}u6JR|ogBHW%?}q`n69!@X zSp4B%U)`XS9-cD{|KXN(6AZu)VG!Oh9Dn#LtbmDe_`?ff9efDZ!w;bq zN4*z(@!XMrXt+CWQ7=V3~@rMt=T=)m9fLBh! zAASJq;E|K@hm)Xn8ub_kV7Cz#2;Q=jz4U- z41YLcIsW6ho?MJSoOB8PaMh*w!`YYN53MWkhmEW7ho@YHKRoRk{LkQiYz_Xf=k@r* ztJdQW3vR(5ZoUnFIQ0(vVb%uxVdp#XpTPFqgFo!^ApWq&qxi!?kKqqbejI;z>r?o{ ze{8}ZTF>Ag&v5_)aObo5!-VJXhoygSvegLqqUW3J`(gd&Ci`U=s%x@$!yd0Nu0P0m z<<%y80DN>?lbr;w+RoesaNk?_!x!JfAKv=`{;=7X_K7- zKZnI|Lw%E71(*Me>n{A;*Iaku2j6hrg};2yb$6m=UHc=~T{xzJ>n?oj7p~jz>0h~S z!@a-Z4|n~EKfI^0$^HZ05NfjfCtB9TsAf9|yGA$LxiF!9vt0pSJ+#@bh8dlj?K=2U z=VrSeCdM?|R+42Me?+q#fcKt>KTMs4KdhgFKRoI@{9)Gx_`}ZU;}5Hgo9*_=q;pZT zJs7UOwAoI9yRM{f7ts){NWF;;SamLi9ejR z9sg9e?`{0yv+v>$|NInxc>3q~!(sozA71A`-@zU5_s$`^0e0yUvb#>DoVteWICuffgs=3#AD(|C{&0P7{Nb*? z_``Sl;}35>8viuv{W18%pI|0D=2-mU8dwGYgtc&Z0DoA1T*&?dJ^_1AV>(bc7WO_V zWY2<|hKB6r@WNps`&Rhfh>-m(oH~YnQ1ET|2mF}HCwr%JT|W(fcw!R%us#`oI58c6 zSeAi5T$YJHygLhj_-+pV8J2Y}eKW_xhvkide>k87fB0-!$nHPgvi=Rn!(Qbfdk!pu zE8**K1MIytWN(I7!Ci1aY=WmQ!#|7TaXJ3*&=vT@s=we5(^ldSt1Iw_Q!d9J+N(mg zmCb&;GGqtfP8fu5Totl&)%UAIb_Klh8v2XD<8P-Q7o50(ep;{&S~(nVcjFHe={p#N zW9cWD3!kR{S_Qm~zG>C){)h301L${F4-e3<%$mXROaHF`Osd5nK0zO=T=+fxsw&`o z`dwASUtk^l?rHpChiCDh$^Lu}e|W+c{Na;Z@rMm{_``Ev!XMuIGX8MDtN6ngUc>)P z>iL`a!<*m1AHKK~e|Yal_`_#D!5oB{m07#uO&whQ5sINPp- znImkw2Dak|!nVWZr`Yy>c@S#N8u7(qnY5#*O zCfjyBoWid(S#x-ffdTkVs%;11fGPOH^{@gSfYor~RQ%zJG~3<{KZfnk;kq)-wgDr@G|`2bC=@}f4>5M_{^2~!$DW$pGUb|gFpNnroi3T z;t$8I#UHM^9)CE!3V(Rh4fw--u;X0rt8c^~ez^{R_{uH#!xL`9AMUKiA5Ogoe^?3k zz*k_$d6w1jUi{&SFa=J5i{SHcHQWg|!ej2kALhe7@CMj%KG%)=@rMa81_AGeKv$nk)Ha&0K8{n;*X&;7a>1klKyC}jTYdW9Tzxe9 zoc_$E=ga>(H~%^4A0ORlKk4(|==ztTpMMNx?*5Bf zx*e z5Z;*_PusRvUlvY(H2O63qrG}gSkFP9g8nD#araMjLwglNpa0NL;GIp-SAR}*>(4s$ zMBe3m&-NoBn9@>&7+OQ5;9%_5bPSKL@>NJo7I4^k1W#^_QVfi)T(p-}ZNM z{nw$#2YDyr)2F)nCiGI?rVO~| zxZ9xOjP0lkLdEIdfotwG-gQ7v3 z^Z2Jw4v(li0dqYb0H0v)(Ivh-=IcDFG?LJpFJ*sGrtUVXG!hSW(^y2Dq0B4#1yS5M zQ6ISaYV^J6kgsqpE?fr+i8F0O{=V>n&pna%Q7rnq=-Yhj->TQI${-DW1@CD8?8X=8 zzE&Lvd%C%KC?-z&)64bJxENee(9m`a1M3Z$-X8+=PDk+mZcuqVGhHbbq-Y{h#k}f9lJBt(*Uz zhw~2aUFI_O)sx$GJqfT)qtSo*C-3OJy4pwA>L~geI*T~-K49)+Um4u#mcerLZ_!uz z^uM_Jt?1J}Y_t#f^nI@WEc%HbHQL2KeW9y=guV>@Eua3ftN(#M;A7@a_UYSPy>}O$ z5zq(t%BY`P*T>-qmRL@|II{j9ZQ?(NjKewDY~XO5@CM zIaU+rn)=A+j5_pp(Ib^(J^Gk0BbTGaadyPNB9~(T{XF#6j#qvCM}H1|wXYm6b;~gq z{kX3?exL;fY0uEE8&XhsO@?)^u8QSoSW#Mag}#pMPKah%M|oK z_c9-P%k|`%^{BEcB+jHC8_guX&iOHFsasZ+=ntT;_2wh$N>{Hz??K;>B3~XB=sc+O zx1-P9$Nb}7e{)FbZP<%`75V~i9;453%QA-Z_ICP^M5;@%=yAU^+CO;HkJ|0#FAcpJ zeV0%Fr>hsDKexZpzRstwa`j5|LBB@UYtU~(zscu+t?R!X{m|bU?Z5f-$6S3c`UdpJ zeER*a9@Cw^T)#*5k44{#9?3rqJ?#(XD)*&t9*p$VY z)u7L!4-ZZ3;d&Z1#m)bA^fhhhd(mG&U*q$?-1U#?!S)|$v}pqOq(9BoW6{q;&+zG! zTs;kaZ5w(a`WE!DUVqbUqU&cR`ulC@HRwN}kM{aspjWT`x1+bCFHyCpX}A=hSQHlk849uLq8o|?MwGOk{$LhL_f6+y%K#?8+r};aP-06^i8vc z*?vhsQvUa%PsBfx9@C3!ZX4^5MNe(RKMg&n4ZRTkyf)IWL_fO?y$1bE^oZLp=||eW zz3At+k-wNDc_-I~9*bVlM*h;!SGM6_h<c z$27HZ{G$iZBb|R@dh?DFJyQCy=xfk}-t~Lh#nR9pMUPbf3eo?D9;tjQ(O*E1bbhKq zf4dERJNoD7iQfEq+8y_zx1(?8D6ejc&z%2wPtg-S!K<6s4qA^zAA^31S6>|7KWXSw z(T92U{IFh#KD&+eSE3i9N8En&m2K$T(JR}~_o8n=U*^qU)DpM;#PsD|GJ3U7zs1#K z(Mv;-+YQsuZ$m%J=Re)`FGT+*`n^8=Hdn7ipJ7KX-x~A_&?DX7ZAZTz{qMf?pLEmT zi$27n&yi0*+tp)e16z!q?$eW9Jr?~A^hoQM=9{?gQit$k$wLiA(NBdxy@eRvys4SGC!r24ZReOep-d(qEn z!$0O&&M)YZu3xd}OVJ};ztYezL61~_3(?h>fr#6Weoq^E4f>O9=-bi%fgY)T?M3f> zNaXqx6QIu$`uV>7o9FJ|SoGECZ~OFDTs;l_ltbIte)LrINab6Jo`W8#d~49>w2}UH z^dj^~<+~UC(l+#%{&iN z!_{lhFGL^F&f_0F*loYqj(&MZu5Uj5Y**il{%WT-u7AhV*RgZt@{dLDj=ss4zenBt zrJ+BFKF_D0F(YvEZsy}?&}-0Z&?8>|(ceSA&X>P%`_f+Y z_`{p*={`Nh&40`Q`s|}e@{dLTtPTG(^e$cK8}3ct^L$W_v}9KZoSq^+$!<=VAu&e1Tr$)9-W3Hx|7kV|{M+ z>DRe>8u}&Z`+fTNu3m_q#aN&)``iri< z7kwsUiC**R;eH`8C(?e4{;9A0-*d}97X8^VP4})%T+JPi(T^_vzbR zJ%$tKyGc#Lu6_g4n|^_Q0j-aJ^kZf<*+Eh{%t>m#fF}D8U;dli z{KukSQPgBFKEzwT^AAxGRQaZ%?MTLy9HFa4#-|DG#)k-LqV=sg+db&PKx^>X)7F?#pQn(SUaJ;v3m&^ug78-zEH z(aCQ5wdiB6;u*|Wh6!#N?m$0pHRmwjG4h^!j5MJ4t!%O{@TEW3O}{IRkNMX%+3))D zx6RF89Qu(rGA_)Q{)cY*ndl#^XFRj7{LD)ZwGWEXhuz#{Kj~e++6VWA_rW^iJbz2% zGT4Ov?XCRwtv8M6({us@SjSHE!)|Z#_qk#nQPKxiWlh!BCgLq1-V45MeOhm8K*br# z=QT*2&DET9eQAtw%PSZCllvJr=S?H}D7U;Tl>R`IeYDTNr|Vyh zu6~F07T^9}>+bJ5^z<5jztxxiy>9yT=pR4EZ}Ix}*Y)oHvbfor{$!KA$LIfr>mNYx z!+5|*@1KL{af}me@a69toj+BEx$0()af7e;(%)vv4 zxYvQP=ntWP2I}fqur6W_z}8{h99id-IUGbZWExgHPY>>SNIpr%^t>{B3dbHw*pS zjApyYS3V2e@>z~PHk0!4>833{fbCZFmFPXZbxHMGi3%U@n~8HlcC$Uen}$h3*OOi7 zMd8+2^8{PWcpN72MjM4qXn|{>0?lz1^zw4Z4dzQ~X!}Xto z{=vLvd!w(O-tFEmtwcY!fO_146*zS)dc6C*xB>l&;%2+VSH=Zy{x_q)U(#$Z@agBc z`Y!Z-<;@ZM!8M`xUD|B-_3h(s?mq5MLwL_+j1~5!KhI5nJbLbmX8V2L_HB2!Zw`7d z#w-u;m483?+Orb9&*jbbWZ(KHxa;459=xL2j`pqpfU9ptKY_8(=lIgkans+0p34~N zgwEdb9ot#$Kz;p3zl<@^6MgBQ=5AmAF&v}on(beF>3`>@KOTMQt<83ZZ~G^Ow;%lh z#!7GSoy%@=pZ8ayAII+`J>m0z(DmPdUR%RhabNvA)2)A-(Hqcj>ge6RYjp>9wSBwL z=RMtQf9k7W@45A>3H=zxWDob1{~)(~`}3k>C}XwP`qqD?yZ-U$cc9T}TBzeD};<^MZ3 z|0~fy+|eAdJz@j;C5(B0)3<#uy4$xIeaL%}_s=f$ThO`ehtDtO6m050`h)0;y}D-{ zPXDpI4@O_&)AQZ+k4I1VXLGCX!_+x>4*Hqslf2unuJ>bg5vWvkK2{O0d}p&gP8po@ z;DvfMTE8Ft`Zn~J(H}-1?mG?!xyQk7^k;W*9Qx|PO>RACe;R#y>zgC?eIJ1SF8T_e zf3fSIgnrU)>Y-1cOqHNI59~&N?N{z~eCdb#JGZCcbD1MyuCM%NyX7|k{a)ry@I5z24{`IC zguclN+0owgqYk+BWIp;W?HJ4LJ5G*ukCRpCcSncpkv@HhtKX0Q9eDsfx3fWVA>!0YZe-(QB-l2&7O7BO17rnK6CAEKFM(@=pWZ&m4|LEJ@ z{j(eWR_3NC@vYx<3{d{<$8)cUewc6jqr%&d{(k>Z#QUHm^y``H;tSvUKXBJSA3dEp zE`IarKWII``d6V3V2%ql?$bT~)xF*oIt#iEZzRsT6GAqRv*9@NbrEWP8~Q!y+}4M6 zPv6Ep=ue`b<<+CYeN#G~!MqA>=!4M*4hTi;`H@bQ(`e$SKy|1pUz`0IEuj{H- z&>vG8`dO2hGsC-$(MP#uT&VPvkbQ|Sf2L7N`B$Ppt8|~g=lu`*kyAqv$7OCuZ)8rF zUw!%C>*jwi`VQuJx!9+dxq3{H`@JmY@bKxMx_T`7zHH7DK0SP$N<-h3!`vV~J>0%g zh(3O1$o{~$eQ&wtQ;GibtWd;pNj2zyFb7R*V^UQ4ZAWi9D-^M9b1(YjIm`v)%ikz> z`(hHfUuI65NaNmP(KnwPiunFG4gKWvLiX?E#jPJvKf3j=5Irh4WFPI@{+{9ON4N8s z8>pSfKYF2?zZ&$6c_F*TcOAUXy$)_i|8zmfUh7N$N;mzz=&1#vh~wvCCekLt96gJD z{_|b`SoEh0`5iA`{>HocOGE!;F~9%i(^t59A^P|te&5lj-{9(%=zn7lpboxsOvv57 z8uUBMLiW49?ce6=+tJgPhwND2^VA9M^VDASvo2X=j+p;J_lqHXCCtdHTbsi8+RLv(MMgwyg5GIjMq_hxC;HLYeV+8 zKE2-cuSH*3$-P3fH;=pBGT4EhS{30oIx##h&N%Ub|A8PfPBfu)- z(0@Ze)0e+=oj+t<206qTatpu1rwq<{GRkx`RNGjFeldEa@rUcsueg=pQ}peJj&42N zgkE+#a|HQx+byG==yNuN?7zo&)*t<(J0^NR`ftp=^qcRw{0H~Byk|1!66RR?(^tj~ zZW)h8f8cM-UF6g6aP=JYA%ADCB%gk!)&pw$(F>T9>2t5H>d_7zMVH~N#5v&~AzRJm z;Fe+Zo9;TEMgQ<+?s*UK>Or@ze}rzm5wbt?wSDY#+dlq4-@<%OXZZHxXtxY|PvTg9 zKV<)lWZd;fee9mg#-eZdfNQ01A8ge7XaFv=(1(5;vX^=FscWOJYhQWD6^BOaMx+4o zDu}o8(~y5IfXS87SF|?|Kq}7t#5sRg$UfmvzBu(sl~*r)3vQ`6+lW)ZyiR&^(Kn-C=+hUudJOLs z4rflTe4jqY)nn1K&_TG2%}__Z57H1WLifEZQv1m~D(ZbuOq}bO?>s|x)s z^hG{BJU2-#dN1Y)d(d02qVLr8E`ZMt^gDhgeeZFho+UE$p`r7zpEw`>9im|2enewry$tMsHI@tD9U-}c> z^hcw=)7g&Lk3R=}`eC;HgtvU69(2pE480zGsZS60Q(lLD3Uj=T@s&@kTRxl6r*^R; z_VeF~{%`aH-t$HDKKFTjKl;{Q{8oZ*{o#H@J$X={cqDVW`ScIn{EtSDI*K{weB~4E zmQN1)kA0ZC%j+-4iN5}!AKBNokMQl^L*4VpI`l)B!|rb1_TL=de)LsG+Y$Te>_k^{ z-~HrWf7I7*{`aGQf_}7b{XO0F_e|sX2=Ln%K0VddN27N-p5K!2>EV7xIp`;zz}$8| z{TbK44E?nMwq4}Y7r6R5^dkq^c7NaY_Xux4diTN1W#-$ya6j6e=xfmr^`;-y9NvEP zvLXB?hHw8(bN64*Y4pR7we2Zh|L6oaf1}ZN4z(kWt}_q2swv9(9_Ym+=lf_!s{hr?-I`qrXFZSwDWjcbYADhrW zN9XljIDOAJww>tv(2w`(rWwUt|ImLyr&%=Y?`d!EnaO=XFtR=x{Y3Piy#Ai^OAh*P z=)7JCr|;>0Ui5#Vwzm=nK(veEL*Z-;aI= zI*$S2{K-540Zctfcq{sX_8wi`L(DMGc`D9W;cdfQ@BPG?z?`6w&bKe4&q-&_Nbh>0k9E&yyV2)Q zx9wNRlY2ZzZPw+X^4UI%^Etm~RO?=S`Z-snk%GPx-S^C+wj;}= zL6rY3|0{w2mB9Z>;D06XzY_Rg3H(1Ufv&qv26lX9*iQ0u?9t{!7x_L!zQ@RStJZut zT)uC+L^UGNk4wG>&rlED^gEO99ff^`DWa=;3bi=;uOZV_Q1>IoZc?Q^hkI4Em{fWH z)60DCY+%ij{2eCWdkfXAj9!AqQ#}f)W!50Wo(7hB#8Jyp2G&Pcnh%aWs9&0g^Lc9z zqj!?{&iX<;&T5myx8=K2t_|{i@M7cmr+nWe>HH7>cO{T1^{Ay+oYc>tFjJT-EEZM> ztAy3UT49}Vhp=AQAhez|Ywjux2;+o7VWu!wSS+j%Rtc+xwZb~#4q?5pL1_I|)-MbQ zVVp21%oOGdi-i@!Dq*#-R#+$8A*>fR2(4#i{lb7S zP8bws3Uh_U!U|!Puv%CvtP}1K)(abi*0ZvHVL%us3<@)axx!*$g|JFkEvyyR33mwV zg$+XMIa$9jAdC|Rg_*)!VX?46SS73$)(Y!{JB0PZ2BGzLS-&tKj1vZhnZjIQv9Ll| zC9D?K3hRVBg!RG(q4m71UlfR z2(1@n{lb7SP8bws3Uh_U!U|!Puv%CvtP}1K)(abiOk|{&uEKyYP8bws3Uh_U!U|!P zuv%CvtP}1K)(abiR-LS07!bw@gThQQs3u}dS!X3hTVS~{6hozUU!hkSN z7!+m-bA`pi3SpJ7T39Qr6Ydb!3mb&ii?V)UKo}x4Um^}+_B^_r|-7!bw@gThQQs3u}dS!X3hT zVS~`xChHdlgmJ>4FjJT-EEZM>tAy3UT49}Vhp=AQAhceW^$P>SIAKtjDa;iX3oC?G z!fIiyus-cjvw}$fD-O|0Ct(kv6TP>5?hYCjs#|Tdoo*{J7b(kXd3xt;l zuM}P@yg~ScaEEZ8@K0gXWoCPv^t;IS?!qHm=zZn;5aHMs`Xu>2MVKzk5}qkMN0=wf z7oIOH5|#;_{H>7h7Yi>FUMaj*xK?ekS}{*dY8(*d%Osx!F%n`iIH)9>RXY6NFBFT5^c!!-Zpn<0AOQ zi+!SSQj2&k^_J^v`F*PRXA93077ELRD}}3s*9mVGRtp~yZW3-4z9Ial@H64p!k>kW z!VXuM^6e_@BRo!cvhXxvl5m=Emhe1bfw1NF7m0m^utIpHaINrW;hn+(#2E36XUEWBHIzwlAv zQ^MzjF9^2@-xWIRYspVVuNQtT{9f1~{8iW}v^JaVK1A3uUFUm@=v{=}ggu2v3Hu29 z36BvTFB~j%(sejY?4yKZh4C%oPfko67Z^NaZuye3^1z4@!$uE_8#2%Yb=9&MloAFSO z`O3a(oyp0~M;QA~&{{g5N3idWVE+}nO5f@p#V7hR%LX@#{Q*5m5Pf(%XxUP80;%}# z^)>PJ9A-#rY_GDPHo(~R*cI%(u(y`a{t@iYOFD-pn{@OXQKU0i?7OEKyPn$#yBdqA z)>}Et*!7%D*wx%q%HHoRW7l&rVNVkK@n;*m(~L7s?5E8%c0KnK@n?$ts{&(};;{0> z-cC=F!F(L;iOfd_6Z5_FA!jJKxxye5x^^DnFf4j9t&QMSL|si?TnZCl+EJ zu4s%bJH;@5&1% z75~ajX1%&kG4VU_RoPSSF?K!g4)!C&{@{bguIJOiuKEzF_%F$Z>Ungq$BO+BJ?NAE zw6eWwcc}PhJ!aC;^Xd?Ps@U)RtFi0(a*o`Z&T)`V|qSCqPbz`rP{HtuYmd~vb>?+yT;xFlH(vMCx1+3>LWxY=wW$X*57`vVa1^c_C zqwv>zSe-&Z9dnJCU?tDdmJ>sh6SFxwfGwFO{%vL+Ts`V~- z)!6l%2xwiz{>RhCuIF07-cRgnUNCk&#{%{f`Py1JsN+ecf5J8s{}x$qqS*f~c0E@D znwqmf#eeN}6JO7ffPIxu_HXZwMVo&N~?0QT(_E^5Qwq2)SZ)f$k{+MpA`^Jm@ z-x1=cVORO-S!7~fAmx9y*e@+Mc0I1F zKChB=ChNgx%mZtR$+}+bzx>6dvzGd;mfOUB*(JuVe=`sJePXY>)Y$b{KkPMPA9}g5 zCp+f>vF~4H?0W1T@m~=8T9q*tJ!TKSCieB$8oM5=hkb|G7pygQJw^}v$9!#Vd;cx* zOY~$_+)v1Mso!o@<$1N*Ko%(us~xw+%Kp>c#$GM??P%B|cz}{Lur%3$Q-!t)b|3~7_6#I}5j9riQ!ah&z-P`klMQ$UkBC+4y z(b#8bmE&FP9X>JX=<#4^SBd@8&x~D<1H-;v?5T&Ebl#P8whb`lvtQD`Q0(_e{H4t% z9X&P*?QyaHZkcqP>%y~QUlwKTcSt$E%GcJ)=WU7q!B`Vtk9i>dkHkLYSY!W4@>4JN zb^&9LHn6@Id;5XLpvR`*^Q+i11{?dml1@7gXH_5meVVb$ZHLuG?5oBbySjf;OJA|? zlXRXiX6r<;+oMeU`@}w0?3a%*c0CpZElKQaWqVU3zWQxcm7nS%Ccb)3P)nZJk37lP z$4EWDKtf#|6;m$f)(2wmJk6w|$5;@*UhJ9E zjXh7wVXxSq%r5AGb~-i{xAAC3sG6Tdsla; z-j5XfYgy(({i@XGeqvwqiAnz^NoSbYKYP*GSBZVR*oXdL?5Bu*ve+BsM5yNpM4O4d z8}~E846}a&5@NLF`M!{@|M?{WS*GO0kzMGS>y?{J%=4eY*uNC} zLsD+e`SWM7hvb4kTH;4_GW+of)iA=cz`*J(_S|tM|IX|GBgOv3et$WfDE8ZvO?*Aq z2x$$+uJUiCoBhHky^NFi-yJaD^>4=Wagx|Oylv9IO3E!q>>rdGyZ*gp;?EWP%`LX8 zT-#0B-v8G~{CYh(AMF@&KY5ebKm5+bo*+*5Mo8yriC_Mu$IQ~Ik1c_3 zV-F}pi{(4)()8t1nkAj9^G!NAqPFK0ppN&OPBrD6DE6*mU$MyK$9c{=4!bJ>6+=U533~p zgNK+M9+Y+5EcWO0>akkx75kT}VT$Do{h#|cu|IyhNk`qUtK}K7mt0{C((Gt$ z75hc!n{=FR7CXfLmekLqO)}Q!VvoPbq<^7tvwjf!xcANWo-Fm&7W;>KavJ85kaP~G zOX~e}^<^rAs<*h<#qIS+AZ$1D_AXzU3;jy>i%F zUyA+ko+g1P*U6l-kNF>(^z|H;q;<5|Kgu=R%WbV*MvDF3f13m(`&JOUKCia8-$;@81Qz#W^1~i9Km{dMr7ey3fX-|lU3zZwwx%~DU!7uVCoesYRQ z|0A&{ioN4}Q%^3I^`?ov^EzX2u8-%4{UUkMktFF{fL+yxx)%3oB|84W`CldJtW^#2 zEU!tFbz+Z~>+e}&zfoMGPO<+x&cuI7^0S|t8C4Dya=+)?Z+s>3lNXx! zqYbQIwOyP&=y-(Lzh_9rStMF_v3Klh5;#Q8d&i4CXP&WNFY!lg;M{I5p4{WQ`N)TznJ}ajO3?8;@^0aG05$UwNmUil$!YQ2G%OE z@BGf>f0?9zli2T&2fMe#{-D?gd}Y$t^Btl6RqV6AG3ktz_%Dk+zQuX$3C@#he>F%u zuu~u2lK4;jX%bNHS=I81*dLbX7iYihcGf$=)Hl`cqn01Ue&nHMLx&l&6%u=&-NxWN zzZ}uE_2d0`ZSP_|Aob8W51%adcM?rG%$4-Vh`q;YCO^_lW1S)PeNwLyCH@p`moFZi zgI$%6CC4?N^inA4y!4wXXXkvlLhLQyUtc5k#d19zC+Vyc`~8zl{+~3-S$By2gm%X8 zmBfDxyWU?d^7E{YFOfWWOVYVdy|`q_7Hy<{?w}oGn*Tn0m&BhT_umZ;?MlGps*3dm0;rfxmOu~~ zwh-Vk5E8&3NG6lXBFSWB7n+{#+cQmiOW*FyOk@d51c_1b5yS-r4Z8?@1o0v800CKK ziSlICC$bBM)c}Iz{Z;i>_w7saz4v{uzc0D>{YRJ0`yk@C$%7Jn^gD%d zJe;_FX&Bar)X$N?C60Y*d21Y-NBY_H6SvE8#IM`j7>q()E}!AMnVb)O*7!^}ILMLy zE6h_F;t}!wz099aBz}(KyoenxCVl6i(SOW)tBAk9#N;`G38qr-blqs z6g%um`gIFU9!{HJzm3ozLHa7!g9nn=Jm8|YwuByza{i1<%SnF{@%z@A{N2P)A^!Dq zO&&hh4VDl;f4$MKCjGg@7tjyK6aOCZt6A7~BLB(fD&i+FzWKac4P55MB<9B(jXb!W z_)@NG#uC3r@e#oRiSgb?{$sdbG@JB~5Px#9`G3WR5j;iw+$rWK`khf|^8)eLD5v-P z58`L>0r=(Qzxg(1_dhV6c-|bQIEiA1HqsxKsPhjae)K^mXNhg5ZiLUQJ+0r$5k`M4 z$8|jUjH#F(>TiI6SC;r0ER;MyE+jr`8`HyeX8xd`c*mQ@_+ZL&9`VcNK{-D9-RU@9 zM0^M8VS?Vp`y|BYU2XLG{h+vaE%D0!Ca3-`5Aa(RXXDu6LDD~7Hvtdfz26gmg8Aa- z#9tsjeh2H9uj2%75#K6N=X^kX+Hj+1_zQ;Mxs2r5zj6P;>xZ?>%Mbp-=xgkEIOz{K zz~p4u4ZcYHJ-%S2-${-(dlD~?G(P%W^}t`JeZTNIvx~o{v_I(wrMV+IIb6o@A#e(o=rw? z5wCw_gg^2QMj8J<@_E7e9Pd!zBL80!&t-Nb{WXcYVqfAD`Qp#7$p0|nBl6bo?Zjsh zf8;*Hccc6#5ud}nKcDnP#a-y;@nbAcB)+|SjQOE{Hy>`FK|Y^cW_sY`>fn6h=Urg9 z{st20&uKG0A0K6SmR(##`fk6+EZYRF)T4V4ZKa9=G_ePxrO+% zj1N;t{{ZnP+l{b~_*29W;r>87@i&Nv)65U=C%%sO1AAM)RpMLjV0L_x`@LQ_4kP}| zSmSds=81f^C%*nAyS|n3w-LW}F9X`}Twgxz#QTSsgU>ZM_=@7Zh#g+u(d2pIY@_cc z|G68X&pQ9@ZCoB777_pQVb6BfjP!8}9)e?{kj7W8><#+rgW}3z5xtnkV=d z@!v5{{(}66jW&HgGsooTWBXux;=@_zxSV?spAcEU-yxrUiLd4Rs9uL0O8iysCznV+ zmH00E86Sq@U@q~u8RxGeeF$9g#a*nI<`6HCzLuzS28gf8n!@&_-j)%sZfE0l{ws*D zc-#mVk^YCoFIsH+ypR1}OZ?&Y4H!fGx5Q8Ty)p24{T%UmTwlB1UM9Yl@p&5g{FC^$ zuN$x@<=Kq>zl!uA^tjTKY3%S<@;Q3B@u&L+ zZxVm(0pouN?f4P#`}qeAKEFPP1+wJLuEaWYB=NTEjKM4HyN&ppiS_kZ;`cB=?#_M> zBL2C=bI&Qne@Vv2k^fBMS24f8N&Hyii*B>=`rlb(iJyA9DOi8Q5^c)F59V{mv&iRk z;uC*u0`5UMFCqRLKIeUy^j8z_VqJG0@m~@D>yBnG{mn4kyNCFa#D45U#Md$o`?}y6 z;wRp2g8Z2Byh?oZDg$<-|GZE9$E=69BK^tqpC`tcJb$O0o9<-xy*}~Y&QQfk6g%un z`Y*_f?)aR}d;1Vyae{T|&pRe=gwIUUUnMV`-+Ho9jFZtgy+<>X1?}3bcsJkM@i;$@_$xaZpAT7g9Y%cT zXKh@+B>!2&zsCLHiNsGN{&8sZUS}4GZ_V*~-FPbTU5+>Uk{yEO#E)NR{-eJYf<7)G zzArbxPUL*KocPV05CfFwTH>>=G(!FDR@}RV`01w@ezmz{a3}FYCK)h~@;prZxp$25 zrNsY>_>83nFdPRj5#N{ZYn@Gb-X(tA+XmcAd{exbA$Hv6CFA3MHH`Qy#$orL9f-fW z)a2LS>;1ET;lm&13d0sNPO#;Oqe$)le~^KA|{`o{zU2hs(HMLe753# zvd_D_9KXi&zbWne2=QYkn4C+9KSzAxYX*3n`5W;A-!^9vMu*=EG9X2*N^ z9HEo=&cvs1-|SN2`vaHfM|XY8^za$t2a*2PF*cw+;)fI8mj$?wtDE?C?{A`%?uRE6 z-~BzqJ#UtYzruYUAJ=KXMV=9f=Q~SD|0?U}-%_6MD9(%6;WE;%WL|JR+yZ<=jLuJQ zBmGguO%ytldFMXj7boi2A)H5>thM=axHSu&0KLfnLE<^)ljQR>_2cvXHRnIn^elhZ zC!e55f50m zJZf+-f%w)vM$fbz97g;S0!NVktHigw)dakf_=&`aon(Cc{i2(>etGASO_g%#bZd|U zy~sZ{A%C8H&UwS){~hFCC!Xbo{jaeOkxw7_fAP!K?*cmn%Shk$mI3;^W1wG2e9Og~ zYJ1PKmlJ>HQR_FYcky1d;=G6*?jilpxQ;uR_tp>}`LXHeSmMtUU-3@^CJ}#+_@Vol zoLg;bH#Xhf{Gp%u)b0LR#o0J^_#){yqd!mLy|Khca-YHH?;*t3k-n4kUBp*04*R@5 zhIq82jVn+39Pw{*y>KM)MZ|x%#NyA7h@VOPe(uvQA^vUReS8seZ|f#l3A~Lo@xu+I z|2gxZkLyn2<<-XE66*6Y;$dR{>NVoK@HwN~>n-A+JZ*eDo)6i>?DE2TlV%d-+=loJ z#sQCeyA%Jxzl<H9!xyL4Xr60bO-TI+J`8@VFWXYFJgk7%0Pb%@oCI2 zUJvJp*Y7bwJpT6sm->Gx>wnk78Ki%4tqJ0J{5;}2G7fi8&XvTkqa(l0@vb7iocll6 z*3-|8#P8*EL*M7QllUsWZ?lf{_dA~0H+urO#FI&hc=9yqdrsR-IgF+}FA^Wc`Q>%& z---9VY8|d*zaJ7mo&M(f++t7DTO0K@hxEgMOTFE9n{~K`_;l`%J$i;Y=C(uZ#;&9v z`FWc!SJH3yAwKk4{*A=`#vR0$g~o@&3+@Ll{&{lZz40}q z|Kt-BJj+i0O#DIlLIZpzQ=Zp|@5BAfv7}!|{O*K2L&lgLFQ6VG(vKisWWjzu@tuet zNyop8_R zpA(6nMSSo*18yR|ocJeejQ$Mbml0pXI>h~dHSv`UNRB^Be0ZXMxOf}W=jaZz?=7^; zGo*hZWBoGR1aA=U`}*c8$;s4Pkg3+9T0NI*&ji`98usR+T3Aihim6PYTneKgmCBY= zy@hg5x{%7&%GD^9t`7v6a7os}2UaYPuMvvh`wd z5KUrNDNxp0NW)6H6xJY7S9hv6tQGR5g^SaLde~klXVQgqA)k)qRH<-H)w_szlJmZ% z98<|x*hj9K&(!ke($sVY778-;s`ri|RMYi>4JIl>sw&QV(pl{#D24r^B6Jk>=WCfh z0YqQ}aY2zA*Cur1vJj>hrh7xX&h&+uh3Jq952|6MT&)=pRI=$zxrFX}!>lMas-=f9a}L zp&fnBKM1so`t=qOXUay3N^Gbl{gLcdIvdrk>6 zwFpy0hFeRCnNqcKN=)oTkO?l|f{BgQQb$*pK*K_rvIWkCS+|8D5gB@TCRrKVj2SwugK=Brr@lOM{su! zX{UXlrRb;%CEAH}9EiE~cFFpPWr3)S_s8edk5{j z8b~}J@T3yD#l$J5tJ-TME{p&j zg;}v;P^}k2nM@gYQB^L)`Tba_VirdVL9y^}xml^^%Mh5NI*E!(B2gOg2!Gx$TCqC? zqzLGFAur+S(rfIVitjA-LVU|+4kwzTHnqy7SW^rO^QSgY(>aP(avBxWwQ7C<9 zwTw`RkuoF(wQ9N)RiN@90}EnO7T~kuToO_c$`J?UQUX)+3Pa3`=5QmGnmVszR#&R4 zdrB%5XnvH`8I@CrKv|e9HRZVOj#)E0flli_D%CZe4W>_-2WY{pPH#GG=IqHGGgGst zPMzPiAhn=l^31MOP?5NhtCup8sgNC+H}hGXBk+k{Oy9Vyg_XIQ@hj_3By5aU>I7U{ z+A2Z^1(V2t5-Jjrsah}1g#$%!7!|`BN%Rf}GG%;)Cfo>V8+x5rsZE8on?0%Zg@>xb z#)T_Wsrpn*fJ$2Oe@VE(PJ=DOl#HM$PMAs1Ws-wj#q#1-l_<+vz6MLVgNfBqtj$<3 z3w?VT2cMB5Zh^*_sFp>HYv~hdtP+-jboP{bWLD)!Pz9NWqF}a0W+Y9HQECgdr9^x5 zzF6j1H94AGEyPr9>5K`E)z4(aPYJ6H9}&AYf)Y~@W=`7sRX3BuL5i3FL0^=`o2}M_ zC1AQp0v#(v9BTPeuV-=T*Rm4YgIaXw?ukpWnuQTu=zLH=k<3HkwUu}r;zK@zLLn@1 zbkd_{tz049i;@?~yhRCSxxSDw531JyZmuSyL3?$<_r(Ut!!q;cYQV!hm#T5_rTwybN=wXKQn;6o~~famR(> zpcTIyIhb?GHPk8LM_icd!k{esxNo5Jx57>8RO>vYb3DbM4xv1N-DEovp9``k=LUT?ylijgQ(O~$=Bv*>0 zDjA$w3gLcex25S6UEOp{ofhgGRz#Ee!&o82V)BCZOr zsDxxus^wbxvs76t>grJ34?Tp1$fvlBMCxN*ms$W2Gy8(XB*J<>pUH=%%%HiII*esV zif#%O!+99fYBK1YKdWQrO!SI!LY)x3vmR1OJc!Bef(1F#eUQV_ENU4DHN#@LsVb}H zV#R^o@&uuoN8*G|Jtz+~OHn)orwfXeZYg(EhvojGq*_Y`uApP0Da~gT1_)7FL=(5N z$)KI!wq3bho1?P;C`nKfWD673M^75d7xfS^b*5YyY`QT77S}MdcZ`#?YGF9&7~e=X z4SVSP62C??YSDr6Vc8aZk9h6t)Wqb1t%nFwa~u{Y))nwIVrM_QZmYPOuUQkClm@VG${2 z;#x}~9)SWp&Av`!ffQevd017dlH5?=RODrF5SGF0hly2fn} zdQ!9$5K0T!2g@v$%@?inf_h1O5Q$Qnh-BCeL8i6ZP))0qkw_?n5=+F}Jxg;EYYr0K zm0L9{Sx#%%qtjI{tkff9y$p zUB$;*;$teAT0}^!zOgfCAy5Q%3#Q!ZB9y_VF|Qcit);o@2;&hoX?8`YGB9k$lvQ2e zY)g2{t5PahAUCmfDbX^>`PdAR&}9K89>P6U`=8 zZ0!>TbC7JJSY(8xj4>z|XcKcC#h0?eQfmPZXcy#hI zO-pKI&#<#7Jr*`FDw}oa-<(-@Qy3osN@XAkNW|yfk7p{Yr&J@RT^obAuSp!6m_A0P zf1{-9DVf&A=m)}zh%wn)oeFYnFsq7pNYB)4V^FawL0v+|u5(cK=wy3B)Skj7T}8*> zaspK8G-In&i5L&QLVzS8vsA~7_<*fm4+|P98daY-tcYehqZ`XuW9yg=OzT{s9`&{O zt18fC_d)xD5gll~0LEO~Aj;_Gxat#w;sQlgo)}R>IuB*GQ^sYgDvwiL;!Rf zb71s_jq$LgDS;{2Hg__)Mz!Nr3#{i!KVM=u(on2pv&3)D)-7@Kl!gPzP7qV0G~iMn z@_6vTF{K2S8TKPgwoF}%9vx?vM?^|xlS_76!7hpD2XC}IM zjEK)IU4#@_0jQSa`^D%KF)3XOig;cDCvEWs#Oz8>bzutz;p2s=X;9>D8Hn^AThBDZ zLz7-SI|{>A?!qV*J;XXb)1WfBV;ciG-F2e_;jn_=E;?2@T;t-w>NJVaO zMYBIEBD1nv82u-Pf(|ygyp$bHUlXDaF|Y(~l}jfcS$e#)iRw;gEfQD0hL%CaO>5g3 z2*IC9(`sI(9zOc?cMjRZ|z5X?sIW~JA+cu(sj=LSzVoLLg7l?vVsM%g;c zAU!aQ4cnot1DqCJ#loR(jOU|Ly->gkt|+56$vDrwJZM~sMo+<>wX#!9V^Z~}u|+Bs zf_GvbXfi1#-l-=RiW+rpN;e063E!Nqx?v-YL}_YBC>A}bw!6BuV^E8kWOnF|FQX7; z&=4++y^4Y0O$(%J<>qo<*31m<+E`~~>sF{RLHAOh&=ShuH&KueJf7@{~c7r1+u6dUT%1NpO7R zkc7-2V=01w0WXpSY`F>@;wI;U7Ba?Lj85g4yZGR=5^zamc3M{Yl8CEnXWt{3dwkct*|MCL5GcCBDML&{1dq(kIwWqcxWpY_5*G38 zM0irZMRn%ki7m)z5tcP**<#RUB=0y7H=BZ)qu9$2x@JhMZox?BjRbiQF&z^uufa#&I~V> zqK#QpG;FC^B~_n@PY}yQ^s=6M9EB!(8l4h1lp-| z0il(KpNpkLDQbDDRaN1&eUno9_iSt4VD2S-G^-D2w2|YR_c4?01q47+N%__QMQ>@o zA#8(At|nkIw65Z@y=t3lVj8@D*d7fQu?>qO5|$qO{H#>Q6Z_s$y&aPj&n57dM0*3$ z;ISW+qXe1;+OvZtFbnjEIi`0Yg+79eU!-ua8Wz$*$g@hJ7PQM02-rLrP&ST|i1%YPI*^4V`xPR=%A0 z|2W8>5p0Qnd<`+UnkRm2OYr9F)eThMcZ|1xfbIRbM}yK%?5)Qp*n!h^>(~3Ae>Q&i z&HpZW$kwgxlKsp3_FLhf%l`qs$4EYYe2RZKDQ{28o0Z;vdm+MSKK{uomEQjG*@EKt zmv}sOC%g9l?d?pz!tdGPbbU&r z{@zA-JHJWZj>k(jqCX%1nQT9q44+zNCw@E@@1M#?`WS_ON&PJcCOX*y|MYWX>ydw^ zLeTg$E^zV<{EN45V|zc!_i@BOBY5G*3vnH9f7gRX;76x(9)9h|A0*m8&h~!1;D71= zXNmSFzhFK2vG0d&dBeS5y9$D967BtWWBfSO33+Vg76do2z1u%nYVQgA@$s*;GD!A+ zYofjX-i#k>cwagGN%ntVqW$zgSpR-3%!{{f`j4ZJ;ba*8`D@MoJFt`XGmmnAb9%q_ zta$gZ}|7pZECy diff --git a/epyt/libraries/win/2.2/epanet2.dll b/epyt/libraries/win/2.2/epanet2.dll deleted file mode 100644 index 5b4a7a182ce94e3dd0c123e47fe4210b9678cf30..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 349184 zcmeEvdw5jU)%Q#;Fks@D2xw50QAayAD51eR>EP=OOvo7+AQUV?5n_WF3e_kxf*KRj zNeJU%0E?~mwXNFA+uCZYRWV3kO$d;LYrq?b7rfM-F;Wp*4WQ2V`|W+sTtd{o-}gP= zUtgZ*WcJyYwbx#I?X}lld+mLuU9;YjZLwH#@FWrzODlf)=N13I`riR0pFaB8(=AU8 z*?oSiHMsly*)@xoIcjgc`NmtX|DmJ$`kQXLIpp~M4USvGH#rvHxn;%s*O_rgEf+XW%NlC296*a(ts=VX!z_!%E`lpX48w@Z zRP)8vpFM7Tc9+5s&9u?CgmD z>EF?8OO-@*z>=4RZdegQO5-a4PL$bpc6QpI!(yqr?AC?Xhpx9+x}Qe^U|QPn`&uSK zUa-YwGMnYy`AB~pfE@V!c_u*QYrCvgW)y8iTP^>Ae1AP9pVvUoQhz$qE0B*ko;W3+ z!>HDB*oX8g|e|E(=7Rx5^wnhKv<5?C}JD@hVg-?%kB~)#mvsjI6bu8#mW2+Z}q4gi_wp!Gf zRx=Xe+hlm@*$DrD;pk{lqNGih*_HfbeT8atsng+`&05P!-t}p5RXf<(_!N4Hb$2%Y z-U#`l4dVXw$!PzHNJTr%)0Cx0WkW<2|zabWEb$%XN(pkxgRn5u=7N^e(lBb zx8p+jTU2C4gMRHqp3Vpx!X}rr^{#I{i9qk#RAnNx+u{it_6Trnx(mr_cIx7JBrzjPRHK zHi(W5D}*NUUkoNh)rZ1kkj7CQvJuRiBf*rh5q8whSMOO_md<9AhP^|z7a048*GTB4 zvhUDsbxu`7j~V=n-b>Pw0m1(yrCkhy$R>ib1hnG;?WhVK(hi14v@Q~jCj_vA+Z+b> z)Sd}8Y@HzzyYwtHNR4f1ON-p2ANiArw4asAxmQ2HNP!T+WsZ@r#^+0sX>3m+qpuK^ zYU!A~tXIp(bWC2+r+)<|l1%YCyR4Qpip7iG&3N~9qWKn!LARjR9Udge)e$){X!*5j zHAmt7y@`aj=0|PA(f8Rq5^wo5t1k+k@9=59oMb338FD5=u4HIbGUSjUF*-WdhXC|0 zJS}+c!Seu~-{Sc*9-?g^W?~i3>yzsoapgT9*{oyHdy?P;q0lM`o&;% z{(b?iLDe)eZOJE+kF`gUCHkab?9wMW^h1|%RDxGF3qc@g9BC_7J$)fX)%NOhWeFyd zJCRYV1^Y{I6J#PIqEC_+qfb%yFNPmXsO0J!l%c4 zH;Q%|xMD&C z3l-}ZwgL-C%g|6l-m6~-$Z2wCfk7ZapMhYWps2A+utdm&jrm6(ycw{M0`@40b>}O9 zy*)WM8F?d{NexR#iCkp~5ABSQ;`?CW?*iUIjlK*m|L;XlG}H1BibqTI);yVzr>73YCrdw;V*HWhS!E zYE3{8BOW*zBPL_Ka*RhCX9Mbh<5dilVWna~qo2&yndA2S!^XJ4xFsan_Y^RqI>|a~ zUP7h;#;wT`>>}tF=6qOkh|0wA(w`Avcvx)GV%b@#c~Cza6M`CjkXSc=62b`GtDi;Q z$5;RtwwNPSOr56=h|KZDTF{3aUyB)%JR!!{JAacf&GFUoBHmN;`j?L{1Ew*)1la!L z>+d>XVSI%zE)^0bRKwz|xjKys8>A4v&n z9YoLm!01`KvO^o9S*}q63iljy$%be$Tae^?y$%nmM@04~-wFSly~x?y(1QENaPC zHQMAXMvOt!pw=Ef*HAduhy=A{m;N5Lg2t^Z*`Y?d6KeFYPA^_iiFV@HpVUwHsflj2 z@iR5Y_`)8(7F~y%M<#4Lvb(ZewF~6+msnQw02dKRjXPGz4A2l(%Q;k*%mDx zs6MJ{ude82O_AUV#>M}qzH1>+^M^Mon?u0b%yBSsptYmzbm6(hpabppZFD`cgyIt zspxkYy-`M&r=oW;`av0OOGQ7;XmS*)dL zi#6L5iA1Dt#PZ9~q3BFV{O$zULd%V@EIJawyJc`Nf-N$rsIhwmRj_KxX~XJ|l>}qC z6-*Wyl^XRs9s24&fS`a#ZaZmm+a?l3@q-`02ka@Z=~c|A{oJ{N?~Pm8feYqe*Ky`( zi{(;0emvLWxfM?okK~U*O3P0HDj3VJeKV0jfB3X}8^@fFMOgN}#M_IMn;LgP>ndsc zSb4AQm`^Fd2+$f=A}S!(5XTgIV-J-5lD1>Y+{V?2mzfyfmyBPZj3+?-RDky<0Rnm} z%1P(}xxA4~`;fz8c?wTEo`ZPK0Foc!Hy6JqL;E_d7W^d@s&;eb(Y!x=5mnf;{T^$> z2vzeI2dcZ&CEc}J&^ixNCpx5~btg(<;baY8!kp*%J-)mKOsHNrvo7u?KOlFVk$V?& z_Zv>T7AbSu45X71C2dW1rqYrCf|BbkZwRjc>_SA4>lgVzo1T8O0X6N7E)i)EmJvOe zs6lZbNPZZ^N~J_C$ht@w+oh~pi;B<-xievUWbe#xPi1R#^oQs+Bj$?kOv_rFN@0h} z6oD&^F6oScBzt3}nH`)WB5KkiM6tGkiq)p&62&U|N2oGFnV-A-Dr&EDNZJ`MD}NT&N!y^K+HdYipHDVA=y8J;BabE~#^R@v=$9Lej5X z;&&E5&jEMLPo_i$#9`LsYn1ke=sm0n(!MS~a$-n>ExO5#_uiqMjr`?bsfY>XbvAm9 znBKEA5#E%AjxdRNmUcIV3rF; zu1SgRkQ2}8ct$N!Ts!f+&^sCb_b`MJp|MT9<3)^5arKx{_}#$P^o|5Cxw?`53X|9( zCb98lCEb%tgIQzhuZGT&n%|+XRQVF^fk+!HX2C4?v5AV^Z|y^=b_5F$WDX{IQ%PIW zlKdV3t!qtmLg!IEXzAKZ(1Cu%1+wBl2(Gx$2V73qmb57@bPm*Xbe8OKsc!|e15ji- zvq2V96s9^BOP|OIMQOP-DTtOI6oRPr8-^hAX)D)*-qCF8CtNBaVqyP?rv4E%{Uet4 zkErb*5$YeYrhmkv{UaXgA5qmmqOO0$>i!XI3l_3avZC4glpj-wWwbMyb{W!AR1m{f zW?cW1i!GM_!t)HCE<6YEypQK3o;=X;Ts)WIxe8AOp6l`a2G6Z{*5Wb8=c$tfrk>je zwZ4R&LpS9qEtSb`>Ul+UQ`03zH5> zJZ*kuI@Ie%c0=lo{fIXJBUzZGgfEO{d8Mfq{D)E^)zju944Et|P?}~S14^(G;KF>$ z+6RGv0g~CGjbsM1z2o>@%#Y4Av|XP zW!hg&Wdk(E91_ifSq8t^;UUnN5RjHrv#9tL>(jKYgsZW@D>j&dlGgzlclo-#+1OKw zV^nKcMt>BR3%|I6{*G)C>)FuI)R_VWglr|BRdJ(Dd zgZKxatEfT*qYIs0zxH1O+voTnO57?jXDJ0DMyhSDMD%kH<$+^m6wDL8R_LA<{kurxxPzvQChppUDg94c zZYzGFFDn~!|ANr!^6ZE}D_d#)2?~k!sM;R=r9WCN(N&}=8g`LrSWrV-Xb(_n>ZqWA ztfY8!V8j;tuEV~WXap4c2|Kc}Zy=D^{ZoNAkwroYsx%UwLV}ii0kK)dR$*~A5-*FQ ztJd&sV{SgtTeTK1+NxRn`0S*1}?bQ?<#(i7jfRy%tpS+YY4l7v4N)*1vH~DcETA z;6^(pD!#k$OBGP|Iwqs-h!y=C--dxAhC#dyA-NwT?4u=zu$SeF7MA{uYj+rkCoPh; zCt(!QXZ^uy*+hl8xh*uo8_zgp-EZ&<*{)k2 z7kodWm7^kUOG-3A)n=?v!MR0IHlcn*>nj6hDlZlpX#!KVH`FDEYSq~AY&~~1RgDG3 zl3S+4^3EZwhI_H6hFBJv5*vPwU)!!PS;e|hoU6Cwu9$&>`7T<>nZ-1t$;RS81^L8kTcli;Te~ycaz|d6IUy@3 z{}7^*l}2Mj9xdh8CdQ5+GS@UgZLT+1JrhdJrpIAQQne>4p$rAIICP_~Y1P>8^%bj~ zWdN4cIB4xLB-Kq2x9p+o@#`s2*3HE)HjvLzT2zE6g|P0u=x9$OF-cpqrgl6aXYb;G zE`}`tdss`_YN;&+EubPe-cZB}rdi^{3CXixS@%f}u##D)XhDk`+c`?pTZlyag_ZM?C7!-vdbiyf++>3Zy0%X|65$=c98o5S-s7YrHZOU=YjuHa6TC*l5Bz zsT^#t7wrYLkAnPhTA@JQ+^`*W4`D&J`F&`Eh|Ld=L~Ot=;N^z}VoU~aFnN&D^f}}J zNl=(hf=8JQI9Z8P;wUQ*Fdqz6&GcTA`oY_aUX4&tGvMD;sLT=`!N-go6 zXy$hI%Ppy1m7;o~nezmgIK6))+?q_d?=zDYX(jho?*I+*x+G1x29Q;An+Y7jv`(4E zMSx6$-G^z|MG?uASIENVT19hZ*OHQrDJa_|lvJp~(^as#LE3D!vRE<9NB#5CTUD<>1N$ASsROKnIv&MfFqMq4fz3k?m=9e8%&Ij7iSxial} z6ycl3VJ{!gV|ZS{!*m_bnFxFFe2nK?-@-ZuPb;2(;wdhH{Q}R!c&hOJ5`MEF$2p%A z!k+A#?W1bzO|EyY$1FM5OBEMA=K45T9kBVe#m+!ACiHYAw+x)lsiW71siRa`_YQu8 zn3`&X*b7`idxRtM`PoWKJK~{pJ-UNyq(3;}?j~$%==zOq7{or$aa#R4jj5y{6#!mr$RBaWfOJo|~gOcNWP^laO$CY)1iLyiqBHSUTtYd?jef~zHXUCyH39tl1 zocnl3w&m8LfOYxH2=zi-%)5LSLdTRbFM~v@za{3vmy~svh`@0uR{f#h3+U0AnB3wt zU8CKBqHZa`qq9d=#=8Z>1GS~d$7vtcb|@_`4iX3)xa}hF{wj%?eJv+3VA`R(N9H24 z>nPEt7|bAZ1voRD0u==)=A%etK5cKRM^to@vi2k7NMZ$=g+^A;LNf<*(%6$w7?7-L zZ&DKj(JmD8-n2~)Ag<5jY6H96SP~S)d^ZHK0$33Q_t(;5;-F!CC9-i%z%5y??>gT+ zn#W7_M=PN1*rOG;DN+B0-pJ>d{y!N})>!l-%dr;_N`Z!w8J2O$uBJ66Z5|65E# z+mv-rArSR}w7siRWiCyYxzH#B?Otgajz(Z{8uek0jn9UDCtCg~x=nkfdT&PZju!FhAozR#m7*)z%92FPd{4nE$8H z6z0G_Hg=~H`4iO+_TX5uAIH;&8Leo)1IooPq($nA<_RWXQy_6a!E^b^HlZS2-Yb5A zfvx@w#D|LP=%3j|^8{9y;Ow)D92~KG^m`y`HQ41Oiij^nYN!ZfZjT;D8s$FHia`jB z(z*Vk8u4Bef9G>5I0o7+pNb9y+AE0vm!LflX==5g8`fb}u;O)jQKuE{ z$0)G?5Q)yYKwwCE>PvtL(m^|=M_Axv$Nx}~3*?+C@Ve~a9mB!}0%0ck zi(K(R;1CmX{NohS4@$=DdfsHr=MVy8?t$*R)(NTMneI~7!BJB7%Y8u5uYFinguS~X zr*_Q>fxmrWkv*u@SD{_M6s%U=j&|${#>S(~ol~{hpSq0^YoF}^ZS7eQLzrFX!n!)P zU1>Ri+7JsqoTT|b9h1N`HE)Yr-G>|<$dPkGX@U2QB^oT62e>c#w3pal+ZutR2%;={ zST7Xahj1AXsFJA3TZ0 zFZT-Ldl5?U#5=%Hu<}Cm(ttx!F!N;5pRSXpz*FWwCs-O&K%E$Bbr@<99q`feIk z2%CI#X*wSfQ-hD-$i$&2c>J-IMjKtgxDI2XEq+ltrjb$;(`OOzYn^39?VLi>rH4TE z0VJaeG2UJ9)08qnng3H0VRR;t+_L;ik;@^%<4jb~#-dlUe08vA3?xC18yV(x^({Xg zcwyxE;G$ap8Ho87kdOc9M3R^Wi(UjVDJQIR5aNU-$eRnSgt%*NOsnoEaXD$qbHgV&RBMwl=;HB@o9BvoM;G05pvVaZ@)wi6J&Ht|GK(ebwb~ z+QZ}ew#D*eJn!N8#uce&up8$ zLzwmzx%3zQ;a*j{MJj37F9HoZ%V%|k@xLjK_S|gOTbr>34 z>4(G+nX}(tbeO7OMWFgMOx>b$N;tJ`xnoFpFuMcIMK8Xfw75|MeYezEi}#n57MFZq z=v;yK7nPPm0dZ`v(vl-XA4s8t)Yp`jqd)pi5Skv;|Vz>q^sKk>=N?xqPk2Y$@|})s+ObtE&RlZ5+1&ts@YdfThPtWusl$ znCC9q7apu8+OP`$NAv#Bw|t4VGEaN`zEQ)jJwkVev9|Td#u9 zOR#U!WxVrFc3OeI#06AlmpF{*$3-+EAYPbHWO3_1L$sXRON!$UV>XmR=jRNG0sUi! z#Q2FJlr*J@fU*8C4fWXUubT`j+C)@5Vs$I1BTYzZwvS{{(TdA<+>sT^$BWk`_|=B8 zUw|XHxm^HznAa7EVpcJ|2c!dgI{Z<9Uzh>6paQfksKlI~VcR5vTH{uz)zK`-SSP8` zXct=c+(s(atPzB=M+;?S)QlVgPc9qc)F|{%)0IcI_k?x%4JfkE=?ag5z-&XeY`t|* zYY$t1@RsHOL~8C&o`G!}JEY*E9f)mT4l}Y{)~OUcOwiGLh?tl?d(f!|(13d+ZUsLh zI>uf~ntz%YH--fe`nIcs%eebcFXh5I{8At|JTq+#w+E|tOanUxVE_(jbFmOQ6uOd& zZBJXc0Q;qdfvC^jJ5d?!#jM{jLtiDgEOBLxr}j zYE$j{5sk})o%-MKOQWn=&@{qkc+h!g;ZR3e$$lJZ@kfURt6#;ws=xG}8t8c8LB80; zMc0aE{Te9vJtLKM|B1jf2!X)@18kv7za7XII}SDYwEf5aBe?EplzsBb_4bYPn1Ed-$O za|S6;>RQQd=2o%b4{T$@RN*g;iWcSiV!lOaP<;`2_8WAPfsKTCVdKS$ZrKmleC@l1 z*x*Ju{LeDMZh~$m)3HzGd8R;yCk{~+4%Um%C}9tm=5EwA9d%7nwE*gZ?@t1MS}zUk1E98TO*(36g)lUpl&BRH%k6ow|74IpEu(>v+^@$jNe3*fU^U-rt0|(A zo*3AG7i7Xn2@FIhw}H%Ql1`ukT{~4fPc&d|va0ZpOti0_#Ql_`=2o}K?Z}%X4g%62 z*gyfDmgY9FfLP4oc>V4`So}qkBuQamxaO;|O1s=A5##n1-F+W&MzckqNpu!S&XgUP zj*j6UpXt>FGNqv`Po+V4BHqN%8;y!p@y zw`Z=ip=6*M|8RGII$YZkt%O{bm5Akr5zMSwv^zC^zGnaJ9k_RGq6^yB?!PVm!&mIT zm3U_6HC)C~F8$lE2j|Z8R~=wKj@24m^HuwCn~=?OOP;dsaRj&_ck{hpxgoc1CGv3} z?Y8!Y$VP!}JfZYOr;mMo=ex4@mbGxs;RL^9SWXl~B!fiJYlhF`up z$L5->nYkYa(V0HepG#t5lJUAz1ck#OmK(mPt)n%KY)Kw3X$xxm;1}SFS`Ae?ZFAH` zco(Xg5AgP@i}$mUTF~wQw176zji58#7m+~8KQIG9iRYmz2)e_Vo3XV1$cLR$?V!@k z)u`b#pfn%C3uoo$@Qb>Xbx$Ker;pW~r!}kJ)26IjBjUQ1)v#n>lIv=yhh~dYc~sd+ zJXnU73MZuE`4Bt66_cHpM%={-BJB70-Hz~J_%*qmp)r2V@2-K1Mpk`+KT4M-sDE7; zF%a`-V5WCRm%1I|H{?d!IN5po*O3(P=@kp&_RpDm7v2%*L!g)>y$A$}#H_2i&xwkl zdT5K)pmt9WjJAetdJfD}1tDh@CW$=(tv#qk48t=^B~H5y)k|4KLFi{$r>oe-rf`v7a<5s0Ng6>7743h23GS8&gyf zh*Tu=eelO*E2s~uTFX)N0mMdR!fLdbClcs#nzzF&u`Ug>RRS`S_8CGUQg=4_@EQYO8rN-VZl8oe}|~q?ms)pOzex?J4N)|+$G|di@>?-EYNZdQV&ZZiA}1B zkqIk-<=vvb`)CoKCOgb0IzLd2Es{WWu+WKC=V3o}UfzxnDxaNyC7>r;WJ`g63e4W0 z24e(tL05bJ8cbpaDjXP;uh?Oel|rTza#UGE*FkoLDn*N7l)fx~BTC(IdN>ayjS<{C z$lwJOp(%dNcJy+jFIQPxfVEZpW+)inwm!or1t7# zT2Kn!=;SxG{ViAqZVF!FHMSGUwLgHZI7!K4NX~m)#W4y=DI*^+F~H(*v1rRnU@6Rv zo+K~Y_c5PGN(J(_cj%zO#f_H*-&a<#~1zCC~LBch7{oJ6+c7ir^< zDXXeQB|w-W6y%3u9Pa?NNvbN6%0YVUUrbc`kt+TG^1;JLcA&cW6DbwX1GhKl8Mu!m z?jQ+}i_~3`V^Ny#W+4;Qd0rGIWhw+HbKDvPpbTg2FE$TAS9cm+&lspQ_JBp{pAJ-d zLR#q;VcPH4r{Ni_cV54eg0iZC@h=A`h2#Bu^^1*CCIk3cmC<6+)`ci3jfvMVM9o7O zoJ=lVKRjr$l;gP>PdA?7)1W2bc?Qp$cn0HCP$`~A@tiipVz~m(K0Ke`Ijh2Axf;)B zc$_l<1J7f4dhwi(Ni2PaO|u8UMF>`7*W3L~0{eiRm?67J&E!PJt#i&$48%R`u49u|`sc48M=V9lBTGcjp$W7a~y?1Fg~ z9Ho;}-#LKPXiR;%ZU03^h6psWDsxBt7E!<*D^D?N(E`%LqhSI6A3rf(>$i{lCgQ750V?1DXZZ z_w)s#Ltulji7+gr(bF>ZSnsUwiH&_n$tTi7we$&LNyv*$UIaooeAmsFde9o6D0(?U z!azawa+edTqDuF#3U%=jA=k4PL$lbe=QiLtRP{m%(J!VozgvGru&7t~KT@{OK9?PT z8uPt=mvK__bd?_S9kzhyv${jQHm0@L^Fj^6h8Bq#8dX9NnmCyqBr!~OQfmFho>H~j zq0#1LD*bT7HH-z+FAb{$4T)uN!}Fzx3kJ5;WQFXl2iW3NR=uV%DX=tuX^vQnrjnDI ztN}TRnh1OueyGB9ulzs8uWMyGe(wJfe&C0+AurAd9t`K1XG&aP22e^_b3J6Y;D$;e z#3!XKm?CvnP;H1DQOGZrBNs9MGHhm!Vt&CrDb~TIDTt}0SBOJDjmT?LF|UmIWU>~D zyHsq4X`id@e;=%7->Lew8{M7dIZ!Pu(dF*uPr?^)1;)~uoI<|=2S+k6;J)Ne{n!z# zh>l|a7YnkfRgA zvkfK}iS?oI>NKQ-@V4R22a60YHE%PJD@UbyBq*L-Fmld?OSrP;W90VS?o`(C91eE7 zLHlBTFGejKnV>{?I>ULLB7|g|_o=rfx}xG8#H&=bPt_%#U~~n?73=eFT zq?oy7j^H?lJ}E89!6eU}&bzM9I8V#W9QoS;EoU73AI4EP8iynF{&77F(I;Zu0ft}! z_K!Qvkb@y`g@2rjp`#2HGt`F)>K;u@btW{YSaYCNT!kj@gOJvnwD&>e$J9IQXPMG{ z8n4|s0dp|PyP(6b&2-8QCD9R(760ek-S(81;RrfkwO#NrLIJrYphcep+$<~F} z0+`J*2<8>08uJPS%+HlL0+2SrEVzzV>Y>CWmx@iE*@ugcaNQlPLuu13Dd zQP!+QoKR^vDPbiz{j;F+xLwi#;&$ckLARW z17^~R5J$jZYHaohRGKpsF?}Ki7z~Bo4_kvGdH66R)n-Nv4@9;&0=S3(rNSFIt2xB1 z7W8bt>n!xbHjFwH#rX=jh_&}2x-On-jGS;m6mzN&zo!g!dE6p7UnGZ(VQEyFd8{xw zUpV;k1?G#v2zYM61kSBfoNcG&R^NLE=IU79Cu(dII~nNBr~-;3-Fl!_*lVjWDVzh( zg;bJPzbq}uo1Wy*hovPsnB-aRx+~mozL-&!fEL)Hs#?xSkaT1#hSEsR7bDvk;(Rd@ zGT1+o^To&>hB#l0gdF#e+Vm?a3$8c#2kW_ zat=vSN^)e{yPQLk>HX+$?x%g-e!z0<2kb$czji-h?vKA>KEQr}i~9k%H;hgWzA6lY zuFU%@#QB^p>F0A;t-&_`$MXYN#GD_zbzeO{BwaIl>Pk63j4`|?=$jXe<)IThFh>kL zLzEgb1UyhDqm6mEgkyLY{G-MEu!Zx(#Q&S~LooefHftT`2N&jt6qO;x#~AZN8Zp5M z#{BYclsD&>%<{57AhD1<4c8M!t=M_PmP6(RM@Y9(F|V6R#DZed@c=zg5uEF*!tBsB zrr{DS0=sY*0>{KYEDW&Rg$X4&sUcy{E9=tlqi$D&JZSB%uxy@>cPo*~h9-0;RnRsE+^i6HMNpa{L{1^u4ua71#_7-$30GTb3Kbxggd3^v)KFVgo9+15a8IOqR> zmS+h>a4tTYhik+pc>_4M)Tc&=`aM&})WO@))Ud>+kC=@dn4yK7kPH|W^NWS^VoT@P6`{w(uGqz>6VLtK;&f&d7@EK8>aMKc9H-e+hU!J^lNrtx{O=wDDaOhp4qhYj)$uCl|RUQBmSjSW9j zO{yEyF_q;EovP(P(VWf+&d@v=5~8yJdUcv!53_rCDLu40hvL-K>osu~` zupesrGtM!1#4GmoF#etr4uK_~2)D**)kn4Wv8m^KItN1Lq+!Lf!HN|h4AVP}5NpRF z;1?U(-#|#%*`UeDZP|&MKdT1X;n3E-Ab27W(9p=|)=;ird#@KK zLx1C3iHtnvtE}09On%S#7@Y_hwoW*dV}pRUPI%}43ZX<-q;K%@rMRc3>pmEh@5h#5 zqYj&SAiF#97S!eExkc3*WQdy8tkGwkl%BotsW;)=08K5DII&~ zKf~(b0vNIuM?TLAUkt>tH{jZSD?EfNb1y=j@cKR4I~|)rxo4SgIBSs|_9V0NY)kHm z^@gi(?ootTsC97JWm`V|NA}C@C+yl5-dfqSc>l_oR!h+_ZNaESM{JUn_W#)MC=|#V zwf*gEJ+KHGd-YCSy;Q?^ukzgPXt2lWkB;y0M;G?wK-AXt(1sG~u}4EaHe40J3=UOm z5>BDf1*4)5j)M9YEu>(oqLGM$AM-~oMbZjkO;5RRLa@Mxg;KWnWwAfqyI0IQy}N}G zrg!_g8r;)@r#$VMiSRG*T#LtKTWqdjuE!GQ2F*7L+wTq6CA#=C1LJcgn-6!3l8Utq*+J8JVM=9&xLI7i;Mrbv|SHgR>2N%g^2dZ;=;M_pD80;zJrri1K zuqk(TxDb1VJ&x=!I^CZC*jjY@Rbc(@-clUlfv9jB4k>;*P~c!{cAW$NbL$IuNHshh z@aEnv_6lKZgZ*pm}It+~6tM2O)YNFi|wFOWSE7PxudVxMPo+*MX z+j|;s4f6NcxcCIc=zK}@ zrO|FKJY5h;K4t!o1!<>>py(_w7@+5l{P1a{*SFkW$fQdVHR7=~lu29&Da{uAHhVgEgzUgQ7r2Luz#?!Mq;;p(=ea}n>ioNfI3h>PznfJz^IURBUlxi~A>4+yRaa{p{_C;;o2k(JRVE1v@>f zgWpLsb)R~F;u%paZDSfwV(}_)FcL5BbNE_afGRFjeC>6}^vD=Uc4%F2B#toCO1CEj zKjWSH^b2s!?dCPW))F28O*mv%WA)bUgN73E<|=4ZswNRuHQ9h5CUV{cX_Vsaj3h(o zG;J2Bvs0f3FA^<6h?{tc!P{mSRm}B=w1h>8@M#X-PejySBrG!gE0*E$Ri#8$uiw9 zR)jp338x_>o(}zz>2zQ24*yF?)u>%^xhYE7i1Y@)UcIUDE9?`nS39J=y8W#|uvga( zXs=E|mHwO{2&Mwkv4Q39fMvE8mRWim0}M<~R+oP444Rw{fZ?!u5+}=rQ>caupnTfY z9AaM)wIL{Gg-Q`b^RbE(K~T`|tP#QC4Aw?Pz7+v&DyCtMZ2`{gHPh`@;s-}l1HYSy z-{OJr`|iN_K~lnJB3elFe9=ic_@x6(!K6aG+3;3{-#q-*;Mb1dTKo?GGIUIT+ax}2 z;sZa|Q|Yy(01VrYSm}PQ278(fH3Ulk_I^41?+*z7%Q2S~V7$16-2n8YwSav-k!`?v zf>Yb@gvqxv2=zZK+pNI-2))r}%3Y>zaOQUB&ueP}kS<7g+}; zZ7|uuJky_k(^+3&p!y~bT%X{V$`rrgL)#)^zW-tS zplOdJ2{C4U5DEJ^bD{TVXE~@Hr{sv)SQ`cy+|*w5ASQ{JCO*;f zBxSnsiI(5Vu=qsF0}NwwsGe&`^VA^m&cam*H0fY1s{a|V@PQUy<*hW2hNO&DSUESI z^$;#O5RpSU2S5?4pe|Smd8^&WOU~5Tx)<@IfAJ&@>?5vdg4bPaT`m0Wf?AvY0URWQ zu@>e);`@$ozLii@N3?% zt^Wc$8sggsxc{G+OH_Z&3&O%MrD(==+i&~`m%RAUM5-0`j6T#h$PUy*2VM!I6#D2k z995_9N6);vUATdPMNv zUWlCB4;ttoHg=2B@@?efOi>{!iu9l&G1~$(GhPVoMrO=MMubL;T#2<$O9DEpQLJEt zE2Gf-4TrIo5sBj5=JW!iA%4SSHPna4{9|98uQ&T7Z_OGhri* zg>O!`_eM6e-ymkHi$e>bHP>I`DQfs0O-%la>8Q8;wg7zS1UzxIDykN@Vd)>gNM9KH z1}+m3*@L_<-*zss!m~wx5y>pjg*54ycX0(40*P&K{iqFiKCfS87-%GF>G!2_Jz7P@ zoaCV1z7oHX@tb*piMUMFAg$5=vhNBuIQn%0{ddwj!Hr~D0w@Wz(-Mo5iIL5elNPvv ziPbHEC%f)taeu=ITfMQq9P!0n!s4|B=OdJsBj|)^g#L-pvd$C0)z+KOh_vl^`17mO zXrvGF#pEm_6&3N%+b@-THx-~k(=AHmCxDC4h{|okjC~&p=Xk_VVFQBD!hG6U}DcxA}I%%N#xp0;K!86Cuo4k$$l5-O(PY^ zWO5BK65K<~7@s62if%?xX{zjTq@^8O5cqBBdX+;<2x;u-{IMc=Pf)p)LAV5iRaIFKE;!F7i^SxrbD>h zgx_X7KgaU~o;`Tp!7~bJuL7ec{j(1XgU`Z@Q0k)$;Bee*pKwOBr znZMa#n-<~aol&bykb6wnSAw?-7T&Q9>yfAzPr@7)+weHTz2&?W6DcDaZo|}hrbrnP zxdS|SDR16n$`6_H*+iBZaRXC^A+U5ABL6NUs}MF1BEsLCk+h$Pell-fH1-Q%q~VQK zVp9p<$fIv-nRd7=I!+b41b$ccy4aZw&V3CeJO<`$) zuL{q|R`=-NpMf?+%Zr&~T`S~4EN2_Hf7EK&gkR7nF&STFi?%QgSt`LP`lZQOz9N?A zH}tavs1}A{epH&ji9S@TN2}V$o&~o0iSXB}<@sx1vO=wX!B3m}5?ub5J*QY#$5Y_* zGR#`kjk9&$ovq9PkW(sPEOs0n^pj1n*RYdA-v-L(-jH7b+uNxM!7SB9yK{2^=aZ$dSf!8!or7 zM)ArIjYQgAe$RqY^&s$GeSQ``6LCKZX;;9hq*~q&iuSNEiSit+9A<+VUepDX*pmG# z^uJ6)hg8qVL7$1cIo0g0=s17$mP&SZ*e?9I0qrQnyU*5}6O7(sGvZcvc=2Y(Q;5fb z$At$>;j6)~8xParOMOcPo=U*1!c&_VtPM6bT2Yg58uv%5t6->e z-~rHO#2&zw0oXDCTL#D4Wi{+~TxUwI`q?-V3C!q=h7kZa;>1ew@;T|u!W9WDos|$v z4(^sFKl?{6mPZrCg(7sat;Q)8*D;6>+#-S7hz-w#;k;3V)l^WPIRFS}_qgHkC!p=Q z#ip$LEdugFV7dbHaQYVOX(HwL3 zYjXR4L#h?#q3hH!L_rS<9f$Y`Uda*RUv&_l8bMrf=_3>p`0i7gAO+fCd<0XH;!%>q zxbPM`*P*F2@57Cep9+B(<`+o#F1}6^x{Q>-^$PGA-Kk&wk|4$igBa+{G|;3&v1b`B z;KB%HN2jHkx(?4mp^Nv>{;pa%=eb2`kr8o$kZ8f05`ry-!`Z@^ zEekIc#7BgfMX}ESiaeDp_Pm&^LXH5obTP7t6D${mjNbw_id&PHN+OQ{! z49(nKPL#v8I0NGvyN3n znX0WjfD}0kFpqwjj6F)FDB8kA6#FgKA}H3Q+mRa3UNdAyRGdmANsJTL**rqMQ~#+4 zcJeQ*4YowNJ-!}A(Vp<4MEP*79EOw`@Oo%JJec6xRiIEk13m)fDi3Hu;Gw-~lIQ$R zUk>^PsLX`PYo;9!%%w9Si)Om;K)}s}`@u{v9u>lFMejEf<%L=~hT)8gSWdHv_FP#H zik4USqt4a1Gj3UpKf1&bUE=JVw3Iav#S95M$=!Q9HRGQ_EdX1$h|@tZg}K0^d_X4%`&f$M5f9sB>t9s8=TR(f`qy5vq@4c#bsFBB81%%;9#D-cd z4~6(v+^eY3S#Dq>kdDqm+h!qQ7TPtd0#7BLDmA)cC5j-3eUnKmSR7r*s4{IUrSCao z5R869tadm&$$j`&o6gK~2l^ekDU`;$$y3lK*9&`x*kX{^))SlTZUpEzrnEeXkZ^$Y;fuCF*0VK?W8R%`c+vkcl^kAQ(3*=B zHi2s)7b@W>0xd9?sM<2H*oVS-))(2GNFEIOm!VIFPWR!A&k)a@c?~&!?Iz4j8p(qX zCh0eWHn^dXulnH0Wd1$+<|(iizySVfqRZ3QFjduN;c5U%6*U_Z;tsWO3t#lv<;*T2 zRhv#7YW6HQ@9@5{2!nW1USfNqOKsf7{GOxrPoqJlvxe6>TUR2&^xs#tscPv2tmqPX zHtH$*O3$p}^>LB6ux?bV=zDEyMS7mL9M7ymtowPOA4wa2E@3 zg~93riSB7omplg>oPqYkS%f#M0%{HXvT}S{9uAoW?VsVY94bBs>fcUGMVU#Xge$R_ z>B(`7qTzE0elfEmPam(W7+mhc=6ErXkcHS81PPR#hrRG8Yd!|0zeV)St%lVG?9 zNxZoSnYa>zpmFO%comnU!dH&6un6uy4HwgsFI7);sja5@NEnmUBzLFZCL}D>z(@Sr z1Dr^)jd$z@d>{eaO=Z}!FD0hqIb_H3`_?e})*1)KgW2#8EP}PiIRD~PHrn9-HF0$? zi#xnWarIJ}wu3M(AdGVf1HykQP47M^Ml;Bqvs#wCU-Ch`jL!8bt-=zGX6Tq@wH<8^Y?;$_-4Z!bRKm~kLBHuEc)9eNS&F6xjeo}Ul5!&eg`T9Yv9Gs zIKl$&AY3Yo1Hd5$c_tXoL|ig!^D-7c1o`14t`F$sSVh$rQxzxbr27~Ij~9!hc{sC` zq8DqmHt9PRaS8%sGiUk!haI9obxn_F0wY+hJ0Nf>Q>>=jQe< z7Fy0x3CSIwM|*o_wYWiII$|ZjV~{;4cljS#&TO+d{CpH`H^6w~=b`}p32-Buyg&%2 zUWe4+`^VA`k{_=CyaV#0+R=a|Y=)PQAXNC@yzEqeExtXRHH78_NXeuz6Q_xN!>U) z&+3iu7DxV%88;n(n5XlqgJ%#cyX9J-&9Y9Gg{BQ{8p?kAJA}~47b*U z)oSQ;FEd~9q%hE^q94y8@0Rh3^8)`lE>;d6@n_o@OJ6qxlacmRq&*o4x5@csNI}lR z__+e#JYH+;t-_{n*R?-mV|&fMAQ`s#y3_U4D9cN;^~bBBfs! zvi*onk@vtNle~KnGRfP9{`4$>i~BPa5oop5-=Dk_;x`QlzEXnkxNWF7z#pH&T!8TW zqznios8x-Bb3howB@BbpFHfRaltgjG`RM(IQ3Sjw6EJ$-AAccv7x7Mpgs|roBXRmzI6thx-R-#PWG}1*u=yb1a$XTQ9h$@mNHH~+$ zJ=Rb#n`k#Xu`z_zggaIS*I?S--1@h_1LdarUsxgH93>7PXCLJ^R*PN`Cw@9s`_JZi zpJUJ3$UU8t9r&?yPIj>ou_?#(h48*qqmzp%y@fHzrSf_+{Lxrvi{9*v{#hOwM*XJQ zL||Fct>0P7#RU?C0Ytj`i!^CJFZ_4tsb@_j6|j#)3$e7M2pFW$nL^D#CkV4fsuK)q zU?mN#6Wate=qQaf#f&Q9DD5C>)w@Mpw7d!@6F~AkDvnK!Udh&()EPMtb@)YJQm1qB z7=}PDE^l=AH?u5)j!5E%=A)C{x)X5-czLzw#Wbd!pH4sA<$xrT(G~qOPt8G<#5v2I zx(~Mj^9X?MM!+~DA?V0nNVPL%Ln435`zPr@G5rqQ>GOQB09XMJn6sqfoAkUp)`RE#k`ontp5_!PfIOHWN=xEK3;s^^OG>5RO(OEJy3)m&OOh5un`?Pp5UgP1T&ij| zu=WOw1V`acwd4pkJ656=q|Pz+H4J+JzC^Bn;|dlN8zJTPdz?^CD+7o}~`U>!AFMxf*HATy@;vA6m0FE+S`Kb=; zVTSAs=?wA97uKT;IT-2#aMNBeV^m@X%>~3KwgN5nm)<<8&S97gX4IewIid+5G+YX3 zG`M+G{olZ|&kDa~4Cjehg^T_SI}{`|6&7k9ofZzP5?#mIDxO)iF@PeI9zQtYLl{9>=Z{s7+17<4qamMpO{1dssdw z1d`_*DV*bfT$XX96T9U>_+N9ECf|Z`@k606O+P#W=~Kh~)8U^jinlZQubIia0N+f1 znCXx9OGo9Ra1#?B?3ajXL}IpxspsED`vWEupn5eT^kPIH96;D)ohNW+4pHBhQGzXh zDWfiwQKG*zM9GnagAe&bkP`nVcI!B6;r;kOhA=63uReYa`^)vI|&X;%b?OmBae=*;;G7*2G z{yB`92wlU3H<=L+GeW}uHs9Y$y+cll`6K!AE?@8`^ABQFL7hxLJ`6A8`I1b3 zk5P?A`a!-lCDZe}GvC>sjf}EFACdU}j<0X?byxhP_#tTV*Z*DmyV5A6YOjjM{s4tJ z--@*&G?8Z;xR$#H5g#iB+0;1FJu1`qZ5(Tzw^FvltnXC#L;J!114?{3d}VmI!0N>_ zaPi+Y`{JJ&{ba&7`X8zBkA9SFKVP#V#Kh$Hdl~h7Qzmi%Vh)xN(`Uf(&jf7zg8#8e z2QyOoz%55+{q5H<8X{ZWnH!wR!F?eCKG)J8U_W@GZG8m*_X4t>3eFhMvXwo^7x%oL z0n)_(DW)a2JFX+5i1$v8RQRWA3<9Xs8x#pRpLL6$NI6u3}VCJi=zk9 zQhFO;3W6i+HAo`a#d{4x3Z6kAS~0iVC4ET@lf+X{nQ~2sB(SK%p%b1Yv&=8YtOGgC zvBSW0v4AGwEd}KE*`k!OTRIACUiAkU5?I zzJYRI&wn#fiv0Jp^jgYN^X)jI@N>A73&f3oY4Wjv>3LtC{t+C8 zI2w=+pY-O!w~8GL?;a_sP(*UZFHlBbokn*PSQCN0`Bo+{08Yw_YG#<;58ISH^)tEQ zl;otma5DY*FHg^5`nq48Qop39ME-Cd@+^5bBTpJXv@`kV{XnGk$HPqD)h~TOeprs2 z>HN_7>wkwId?-bJnEPHDhU^cB6?BLcA!0nAC33za1PH_uWC#TW`V0RTLQFjKhvdL8 z`T5<`fc&5Tm>#Gz(~Hsq*r!ABI`Pj0mgK*87`OKE{uP+`ZDn%e zl;kA;{f6mdpXgsancl?o(SJE5eL()0gUspt@eP#wdUBMJ1EcAz(R^9`t+CbkQl#F;*B$u_2$*SN%#{In5Z;`h9d z-W2@wJHB3kYxmRmX#?ZdKGna&O@4yK0`lsV9X$PnI9fbY0&*aoYB*Cq<02$PRG#=$cYN^AJ@uY0w*8B%ISyLumGH3L!@ICujDMw`P(#{a^1`E zFC~#VGVcapIe!bN4m|)cNy#DjO}HvTp$KaE^8^}tP}|RMPPU?7e4YR{Vd$kP_)Od< zq>29G_s@9I4qV7#b8Z)$=W89!x8!AG6L9wfcFteXOGeP{H3p7cWtP%8W9r8vy6EHe zG!N2!q$5XOCwL966GWT*=Y2*q7~3h{r+(&{Go}unb%Hmfleb_Ii~ty1_89oUsKT+4 z9+`YM}c)yYs z6=KW|x5kcy0An2J;m)Bs+^5I!uyVB8vIb*3hVu}tktrXFP~UPalXN;6jCiJ+(BF5Gqc zQlRLwDY2aGYSGJqq61T7c}>Whqp$(MFGo%6G=xA_AAx*k0O<=KfH?R^4&C#Y@n zX)pUhMTdS8V=7H1?AA}m5qUa(4HCZ~F#EVtiUnbQO79kf6EgcMeM-alP=N>hSg1v< zFqHmcbFf?ogoLI`sfP($Or?6uGh)Q3(CCG{xdOT37d*?sE#!NJ(9SVhy)@-vtbz}l zoGZ~=n1uzP72-d(M5weGCYg`2VOK$+6>@Zc7x3u3Lwl_lt4&g3_X^cj=ZCZ3{Ynt+XZx-;|EAU(6 zeB2~yg@K}6o3VaWUTHuCTgYk*hIO*}UZV;G-3YRC5G+P;r3^|IN$Z8PS@XYGb7X5} zM_Pgv3GtF}+I>j3D_55Sv^G^$a-28t9pGOGl-Y>z&T*Wpa6V&kdYsklbH~++ZOt~%Z zKc;+ei^8}Y-|L8emZSDqV+<4aHsRc<0|*_5iZN#flPLMuK?eFB*MN=-%4WaFWTX2JWiaK zd8cc6-8>p`g|VL((5!HP4HmT}_qWCU+Wq_w3Z~)O5)=#f$gO-^hc7zUM(k~(F{wV2 z`?n-8R3LiR0pV7YydxH^FI&>vxJas+|X=*!_pt z1TV;#Jxzn-#8=}#659>-^EgQ_M_O^t?t%eOG|2l&j6Ejnbe+^)P*F!R-UIRIO&EP zrnSR9PZxIO@Nw`i{eENwz$a4HH1VcQAD|9Jk$m3?cyLM z^fvqDPDYCHJ<|*A-0rvAa9()p9fOpndr&q|Jptpik-oCXo%;__t9=xZZfuot!=Wy_ z;Fmmm4;EgD{md$HUe`}S>DLTMj6&u+hMyo~4V>+}3} z72bVYkO3bFhVS0C-W>SpZG(?p8$8E{`aIcp<>FF5?M>e28fk+!0$R70AB$34Xc0z( zL(EBba}TKBc;rg97D)5-Q9#pi+u<~=2P;Xq$iq5qIQ#~)XS&4~#u`os+hP5OTZ`jS zu7qTNgOFHQ*mEsck&tz`_d~e^n%A+(_%u};Th(=2F0L-10sNl-#oD{TM^#<@-?>ak z#NbRcsi>f-#)qLG!~&Wa&>5K22~H#x)TE{{ZPdonYATt45(7Bg#>1ditN7Hm_VTo} z+E!~zgIY`gNdV=dt%BBy+CEN5w*Sxj{@;8)nRCv*@3q!md+oK? zURw~WXqa7C(J;4&JTr9}*-Tw=ytf5MpO^LrV>iga@=ahYZ%}xd@J@^r74xfI@hvB5 zPuG#XGMQsK9*-5HZ_Fjste0_zhmlmcVL|##j2gZHkHwHG_bHm<#|L0Y{*f1Sa|b~8 zWKncIfUbKU;xXq8lV3S4U4@T1_FU_Y;cZ&jr|#W7i%LkkE&1&2@{Lf_rvkY>yLN|2 zv7RnYWlZ~N=%Qn76sehK{B)pq0)5Q7gd!H@sIZ7zSSs2Co^1nb`pF{zdTSo3QWw2- zv+kiaJo^cowbs1n-N>1GfX!eT6-m?%hmb!SZrk6392@VN2l_7|Zu+tS$eo-~ZT4h;r~9R!jy-@`Ph9}|paqctD@ z`Y@~8etC)cB?+DR2v?YOZIM9b>?zydS_lWz8bixx>#r?VlGa=!GoX%~vR!R`rHgV~ zFV}oj{3oTmRp&J%jY8*}LjG?-8nynC+OTJ*Iv{;`L)A@y28%zT|+M@it+g@FCC&InRci z7fY{41sOD_z)k-m&YXa;2kKmc6XNua3m9~3FTmPopFTG-ST*9qanJq>8Y1ay0gw1& zIF5(yh6|WxW17q=GIv)DY>Ura8!DUcX}jOy0F$E`bJ|k_9g&6(PDW)WW60gqZ=EW` zDc&zFYc1y(*XAbLTp>jlf7pIPtRd`oYxM#&L+LE;@p1xz#8hM??#Zyn#+xcK{~Rhi zsf{zAZB3tDxnnA)%QH$%a7!gn^JQ%2nHkGQRm5j{dV|WA3oGS%$t;-A zrQPB-7t&aQIu~V?;{rx*7R5p#InS9imWC+TI8X8ztUBC^s6nW~{L1mLyST$sv0{f^ zJs0+p9+WWDk`RU@10iC<3l1UcB_-AI_ z-+J!m<#a{{W<&O6bIi?QJHGAP)XyRP^y!C-f%4m)jy+OMHvon`m)u<7 z++IrnO>g3XdM^3+sEoAuLw~0uIJU?lsw*aUPWp?-mM9>$y>ZxeOz!?8$_jaW@(Y_0SW}NmMMSvN1?)*EnUe#T~@1S;y zhzlHcXIw}kqY;^kLnAlSR0tv?x>6yx=65FR^Raq}>I{vG#tTDcQRllS3_Xf5EEC3m6xA{gm&fw?y~gN#|PDPvyL>tveJ z1(}G#YcxjOud>BC-u0KmEu0rhFZZ-A3K}b1op)uIK%6d9^7XbG=0z)U8=YB=)96rT zLq1ny$Tq%OO;wYFAG96?8gP8>M2;#(tf^p?kKYrWr18+snotHbWW1*6K#gagj?!X) zd%36Wd!^Urw_dkpInWxxZ#eAJuwYaGL2+)lVcaNki#JA`OWC^dFz=cp_beQ+nB7px zeMD+T1RY`_pgT^WJ5Hc;o(6dN-5QJ&KcSl#t#a=7+WfX39=W)J3s%DvT!TyWr}Ocy zu;O*`)`x|7sRs_mtqPTyw-jIA>lQ+m6>&tn_##xSOAnQMC(hYmrlEDyGSm3FVC_}q zNa2<7h69!Hh5IVwi@L3u3sYDiu>`@+J4Nz5mn8GU_k5akmDh) z39j8iSii!Y$kZZ@`!SB;;H9CdIo{Aa_#uy;;W!#O#szeyQ_t%MJ(>HDbOSwUS6O6g zPV-T^{b<#8`sL1Z-c8L@3t8PffJA6!MemO~mv?3ug6a!8<&8A1kJhy54&COdW98lG ztaG}fUkoh&G&4HcE>e=Gdxv<=9Ls=D240$+#eh-nyxlt{aL%5nsC)dY26gRT7lzVH$9dNm zNcX3ON1>UWi#0nl0kcZc1l%Zl^(KjpOLXjbxq-(0M$ImURmGWOkz-Jf0G#cY$nz5G z#Cq#Lz#O1{J5>5L=<<*enW~v!mW=gIT+$8qqS}dpc7DPe&C=}oV!JfU`W-Lfc%v_v zs4bd+Sb4zZS8a_tGZ!lJh#r4RwN7%SdK62)-%QB8C$Cj;UTH$U9?E- zbSm}lLDE^EGn(8xJI3Z(PzG5|eY#~#thKBtJvxey4;CNG?{h7|(gkHj=9+^~TV_c7 z*^~UsI}&`p#Ioc`Ru5H+UxP@8wRx6RHk33C1r*gyY!# zHVES?2xHx65yo(5d`6;m?kQRhCM+?;w%1D=WIe;Mep>Om_G6qCx6)}N6*r0ZbnuF0 z8o$ha!uWooKyh<6aC^YuI1PGOD0b)q{z zW4@EhpxaEhr3>@D>vTj;$N3LXy!+)jsh}@aC6h1R-5B@2p=^JmhwGkuMe7Z(~0c z=Q%q}!l`|WmEQjz1Lo`y8lcl`-?+WzGpF;K>D`8EYu=3{))noev5~~eq7I%xX~#Ja z|AtHweD|9$UTh*&(Fw8Fpw_7lon6Imz+;3=@U$LQ*knuKGdNmrv>4sJ?A}~^_7No38imDS|U92-j^+WURr2$&T z^*o00L(zt~tjrW?C_0YF1;-WB%xj)B_mgvIJ@=3RejNNKk6&Pgg4W1b4EJi!AppJg zx*Q@G92f2#OIWQkP=%kEPN@m=LdQXbi*3b-H=$|Lwd9MdP4k1X&@{4Fho<>hE_!R$ z{6`JTfn)^^al;L{I2|9UVo?!@jl-m^LqZ(V*0ty$GZBJ}^sBk1Uczv-Bq2GNDduvP z)U}3IALEX2`8-kp5;ecedUwykj&p^$xN%VATrqBN%IvH4h}aV^gmNCUDv zd1}KL_g}36L0OtIDfwytL$8dgYotCTjz2UGZ5R12#_^SL zIcS|=#5VJ9xGZcrXuR*3tjaj^fxFYf%6%boXvAAAy; zghRDU-!CsqmV4(V%gg$B^p&rAzuX&o?^b+0ooPrbzD6aN0=jia(M}^C8-2n&gT|x( z4gHvlJB~K=vu7mz9Bt_5=>J4NM~|SNqleMY(S!8E+y5o~9Cgh9SNefonvDFjH<`cN zoH-uv+#)bJ+a_@yIT;c>o%iI;>z0RL6pn$REE;H0j2dMN&wvKsosH<{Vs zs7sOIAPu69dte@-CT{7fbuADoBE!-<^_7wSNezsLvyaE7+;c8o&apOsg6n8o5Q-nxPyV|@APS3QbdPk@7TlXqE zKcEDqGNqQ8T5kM8BEKYVTx-W3k#Ekl=v2oM#1Mu~&vc}#iJR}<K^N;{1(@b=%WNo*FJ^S?e=(RjWy~D_GW;vn(*O8q;Cw`W4eDb*VL!|0_4I zTchct?O?Cpt;~K8JpVw71E4-O%<#UWrrCG5(ltGGlRh#X5oygMuSnuFe0*oMTYJ}8C6D} zMfigLI*=EnE~Q6*OaqqCmoE35NzZG?oPDY#Z+1e5QJ>Tf!5%+^pTw@ zzPp8+?DF`p*~|0jULS9atGYERmJl`(xF}A&YBa=ehQZJXaM^_652RWlT@_T@p}ry0 zX}R10H>XF%wDBXgU3+N4`}7XNSz5cBy+r>_d!4x&vULY(+P3S)(3lzF(=yX~R*Ma= zc)0BI>KhAE)(XalI^O4NcO};?#)yz*{05g>bg8?hAmr#g<#Y!7`#D0um9?3p0sxnn z(_1kt1YRL=JTI+RH?GyPby+iGD}dyqx-V6YRUumzH>|iklmzO!pROA)vFYkpFIoSk zc8^_t+9V*=3rOx(FZyc%NH@H&cR7*ifnSJ7fm-YMpA&<7inpl+F9QhgO)D)}#{6C= zhx2Sr-qd0^&kV&Yb=GZaxR@C0jvbaeoqUryXq5ykS)&UTU31362C!y5!J48@ZP-V6 z!CaHQ<{7=;sWL$h5p~?}TK6n4I<7||ys2q|l2S`no60hL@b@cd4Xr3BQ&v`I-#^7X z&*-(^GoH84@w?5lCTki`s)mkh#4(I#Cal4IV}4>1)O8antBF@hkhR)oI=#g_YkLTX zh-*)`;o5Gl8FP_M^A_*3&gGpnths6rs(q{%Yd=vz<87ibr<-TB*foi&mGF>#ugNMk zEw4VnH#AqHy`CDj-K$v#)to*~8Qp*<^g_|qkWuv>8w$|S-c@U0jVU$|&pTRlQZG6I z`%EaJ7K3qCP@)ztRv0OtpdNyMi0Pv>uDQ*4^EDgNcsc1n<6j?XsNFXijrBeR`PO}b zX)>9t&|!yZ6^Xe%M$MP|TF%p>zon8#UJG|=PW^ID%UPJ5eo}#}#MoAupL26*N9+Dd z?3$0gYL0hm{??Y!9F7>+N=WOQsHzLhJk?te+nU+i7u%ZA+dHte_tjw8)6t9pY~0nx zhFyu-_&eGs)xRI?W0%Q6^x-US6;A(puPqRcofEsJRQq)0$A?noL5f z*D@}B<70#vEh1`1LIdro{f%!F3yh)Dsu(C%jF8@gF3oy?9s-4aqkrg6O+*xCrVNcM z0O6bN7qT%)@r&s!*p}@1&frxSHM;yFNuo7^Fi>OUPJO&(v<phCF_sCxdw_PK_ zK&3L+>K@@gJW;9te>$65Slj2VGjvNRQ!%;LgL)?{X%b(OSVW9vMrJyHAoiHZv|At2}61_NgbACK>Kn&hO=&q|2X!`T2xL5*?gtY^mx4Zg4Vm3}Td zMBjBVGQ*T^3)5%bfk{o)V<(sa+jZR;d==aVaS?;mQ#0dA-pQ=lsz#6&o34IaKRbKB z45ZAN2H)HgoxW-!ljg78$@5r=lE$bgMIVs6KHnw*L#`&vt5R)&DwIr;EhRa{Qf%># z<6%3%IRMxYj+9+CUqFBwB!2BNQk0Mhhl!cx0_e;@%SrgHU-V> zhlabXR{5i3(?3;LpBx#7GZ%$pZJtb-6PUhQAk>eZgC%FhADRV#>cE z({WZ4pyt`+AB8us?+!PW&vLFI|KD;12YFq}td@6)UvHT6<<%9^7m+MzloZGXQiiNN z{d~MDy!OcChk~>21U$5klX`01g_2$u6a_@bJ7E<5XFzjpx9IH|{aiw;7L3WD3qZ3I zXu|BEAK#e06hkFDlzeCM!G-wlX)^+AA2qi4qgSe~FOtY@7-?ykq*0iQ+E01=FcKBU ziGwB7%=jtEdwv8&2sPZua3O8W_qj<(OWt>TZ={&%{k<(ThrN^hC}s$z`?i)EqAsyL z(r{3Rl3rSvN@N%zYYJQF5aTn|c}G;IYsvjEC5oh+Iy3Bm3qqhB6;+gJ#tR%@bKg5e z4h;u0TI#{i^!}cQQFKAMN*vyt5^k)~@MjTR&ksmHBwOmuC>g|`0`3s8F4HwoqUK& z8A}}!J0K#(^iRb=7)Ug-C5sCUd$Ww~KUvsbk zn~6Aa^*Pe;)P)JpUm&A2EZ0$rsm+xQJ0s4)3mT^1j2AMwi&kqQX+#@dNSAXz1kWDtsvj7JVadq3O+pjZ z;&%rCcX|5NX}4PdQEWLSq*f!?TgqHv#jomIMrvMeA4%-o?DG)7x{#ujk|77%osI0V z%e(qfQ*PYkls1U6sy(plJP!u)FkYds1nT3I2j^#xgA6L1n3PWyjw78Enw!nMx-*Le zfLaeLMx+4JSw+Hr9{D%Xk1v<3J`Y2- zHkSz2DTKdsWFrUXdt|Y}^Agf0S2kcZy+U}xRPBO>$s1e*RWxvXVdiq7j59pOp|`XD zUy<|<#uXsRo#4z^A3{()f3{fdC9`5-bq1;ihl%4+y=O&Ann_av-SmE3}0xxJ%z>9#0*Or?s za=z;}$D`)x2ig+UNpZ794kJ31#j=rFLr$L8lz|^#F6H_>?C;i!@GM@iwKc>uc%;Qp zP>SoB@nf|7bl;3@XTSVCH+194RUOYiKm#qV#;u(Tdid;vRM?5$02ZF4*Mw+{R5;&N zAK_F`uJoMVTDUd(M=eTFW|?&!X-(4wQk85wMnWwK6<~p2DAZ;@01Wc!cV2#fxIM+w zF@V7*^-Tir+=ko@ybft$y|r0Cn$YA8JS}#GfyOS?{O$y4I=98-><%*pVr(vH`2E3`6y9vJYxY4sn<41JO zUZZD`y#tGhx?5DI+OxH#NGoJ9{=eFTsX zb|N1b&(6TyvQ`UZ3aWbnX`$0f2P}Dz!N&PXC6tgI0MQyFb`WY|>n;LQvcm}Zs!*O4 zz~$l68uoa!ai&>Dou6!zjW|TwHOWW7<=xLlM_JpPt4IABCEl9Y-vcvklXp zs%+S1&P>cR(I*ilEdP#ppivGrE_vx83i%r z4Li4Mx`{ZqOA8aRb>V%+6HbJ4B9k;}a`Q_E`q>=NP#YS}GI%Se*z$t?;fC2C6IPAo zuEayO^ylQX?WHbppv!vp!Jx<;Kco@E+D+R+>vG&xS1~cCuQy+p%2at*%cyqN!D*aFYr-F6+y-sBMcgoUQMsRMvy@D@MJ8=N%nXKmK=;fq$sC z^TQVU*}+&V!f|vo6=r2YD!o|cStCveh-t$Wn0;dz#xdK6seLV}JKV%8q%Ftki2(3o#h6PhsP`OS?IZ0Iwh4UiUp#84Kf?yt{}1qefVKkL#e?vD zL-6JZIQp_i^HJ= zL}7A%)QZ)pO?-%)25N$93d)BBSB)K^kl2^66HIs8Quu!9Ghk}u8&_yx>A(V75<}2A zY_5>mZM+EVue7$Tk<1F6EBzrVEpw-nOX`SP;|_3!+}S;;d)3ZmCpvre^saxImO!TC z@AhP30OY*r^hX-BE?iQXIXfVD2Xe%L=G zhV|u2hu>{MQJdd+-IQQ#NmE*MLNInc2bD(!OKXaHeGdx^5;ebt9gZx2b7psWeyADI zl+C%zo7{@3P3aWrVSz%0Dlb(~Aq8nnsi4zLL77o6Sp_1>!^B$*#<*m_T4T5vHb}97 z`PLpWV8q9A?x%Dm$SQY6uGeI2HfW(1-;5B)euR$3#I>0^)V2f-a}{=n%=v~_RX9&b zd>waam?Q}l|0W1ZT@Y~|QtO;AbL(NSF!oyJ9B2B^BMo0JYL@4sRlhSy>={1}+{sRv z^Pw2}8!bbpem(o~+6~>*rqdw#?Oc{cmRNwM7_5ULOi%bx6;+~(= z7X!kw>Gw9DW{u}FqWNF)ZpyuvGj2QVk%Z)z&)_m!V{0d=_i;(R-t}*wJs0aWN7t6P zcJY8qxT_Cx3l!QT%oPXq;@S`4yv~Z(C5r<4X*;b|eB64e;pQ`>qun5xeXV3T-gF4l z_yZiL+!u*Ab#tUryBZsXn5WaVf3;)-@3Vfyd*XUe;_95BITech8ZZYsI(UGI|#l`P12GRzfTE5lFPToK!>&+vCMer5uHHE$h`BSZ?Butm zBEDdlM(=6=E}oOLrd3X^_G^T>c&=vC8H~4iZb)oqc4q5rKD5TAAS5#O4?0?=(u%)X zgfe8GPDad$McZ*sON4Nckm~ZTP<)&%c9cCvH=;Cqtg?kLGjQpO`Wp9_Lm@Os@aBEHj}I@u}=T?Z>O%W=ap4~jrC1fMryW|x;33|@W=31r{QMYn0G)|{92Vv)5VQ)i}Fv>oW zhnx10NOvM#oAp8=zid>P?F${o~KJy<(9 z4pIzhIIDl#sTgYoM9xCA>fi#$JyGwoK|g38A8E+JOJ4Zu0o78G`C-|mh0Q0IU0T$9 zf{_tBXme-Vb2q0Yb%5R%9aUcTjCa*ugNFNrhDzrJ&fLOw7yKHz^m$=8l6e^- zDOXHVU~bU6WoudJ_`-5;`3`9&PISkJDKp8e6FPn@N(~x7bY?5MXgm57me^Tb7+iwGdmyc?*$;HW%bk&^;W(pfJ8( zbv$tFe6Y+saj${TL8l_8(%C=IS?QoleL2#wlZy<;=>iT8KiNHNIq>MrsfaJ&aP!e^ zuNlg~TYz^R7mk2pDbVCoATJ)%y_PI=f)E#& z(zR*ku^QAGPYE(;A4`&l?uAIA=AiTLitqQ})q%*Ler{*WJYB&R$MC zvBDCaxNO&x4e9ksiQ`v^9}JJ77UYaPk0uo**A{<%HqG;7+a1piWVPx{&1l-P%FCn> zZPit0=qp3>3noA<1^VJ8h_qA~>e*$Y~>yiFMPO#t-rwoj*Ut_oQjV8;Fp2zTQc&Wv4 z#O2Yl><|rzcUx)1(unxGH3NWc-%A3>bC7RKe$kN@!++|H5LxNqL$lACjF(=IX^uVG z(qznX5LddH5%B}DM0Os5jfO@>9fnw-u48y67Gt0BjcW(*=fUlQ6fvGEGfojBe@7Fv z4_~OWM{2M&3;)Sq1l2hRUf*|T;B_Wexjn{wG2|%*eAZf&?N@@4AnPO#d21Ze63{kV z8L4E@#`IAwIuhYwHFIf~E}`^!Mp0t*D52fxfkuIL=^LucCA;U9v!<9@>1**qI+eco zjpMq?3x)83F03q?(2nMmEyc>Bh>&5^rKGL>Wc;va(5U_yk{dD{@F+ zOlmHsI57$hDV>%R%#A?+FwyZ$wz2*IflCSVR) zHGuGLz70Xtr-UOgKMe6M0T_Lfge0r+9RJGLaF<*(x5`~ zIvQj7$Y^oteC(Hv_7^zk?*avAuYfcos1_-A0cW$Pey#<;=6x<+H&*B7JMsBpZsV?y z^P0`)Pt`$idr$3w(Y)HL2*dF@-!T(>%o&EUVg2fzdNVHYD z(amC_gHq1N?`IfV^+BPYB17db5k&K6?dMsZ2xbeUf$~HREGJ;-X&fz>+PmnRVduXM zInlFRm^&U&GV#{O%ib1b39~>CJ97BN^k*Eu_SYeEfWo zYkgafm&1fa!7N}ksAZW~(tA9oTw1>vVR@b?cnRXdpF&e4b6)XP6<+RiOxz;5H+jW& z$-sA68F+7U#dt2*`ZT?@RO1{kzhu3NtZwRIrJF*M|1~oA9CDlPOD6tTKNu8vY-T2|?j_On?NS(GLCWbHzLks&fE1 zDr1#rBxP}4shY)7Oh*Dan$K^%5;vZ0S()9uxT1JG%AvkC?grfBU3Z-XFS7M>VSt`Z zNe(jM@+sj+51&j&{}V5-qJ&eK-u(n&IPB!#rlkL13j+asC2n8RdOm{Kk!eDui*i~6 zEH;A1tDm)3g{PU#TB`$L4TNc627yx8S4fHOU=9%X92LpjYqjH%L}fiL;M>EAi%oCa z)#ZBAZz>MOqldc6x#?zLAo(3OHHN2FyFOtr<;buad|E+g-=-wr#r06}eSTomf{MP5 zv+?ECl<{&4r37TY_J+_;NC zjU+8)!|VkwC#jgayZ*&%T5cgX6|7yEJC!WBCwhY_?|fT)YF$w=LCNcPs!nDne@#Z3@!L2kvb4vh}+X-GoD*U04v$1ZqkcYe`EDv zj=vg&>`5N}z4~u~EC=NVQPZAC{uo^-vWqau3c)=I8-N#w6Ziwr4*ZJO17i%DFS*}E z^Qz@XD*#F2AT4@`rJ{TvKlG?-=%aS-8ArpywKt~-TaOkskzXQciFw{%RBWEVFY=q` zqeX>0DQNwxn)QEQ^p6Y18Lu{-31I z^vb`H_5NJpd~CfxvnO*b<=^xcQ=XRWdy-{jL-MPt7Eumhm)c;OHI3F&( ze27*hmTkN>;w%hE%O0AXgG@eUyZ7cF2o$TdXLLcsO#CzYOq(e6Ad5AT4A-#^G=(#l zvht$cHJ2M9;9&A9kT|cQc5*eBdq4 z7WG-Y-%+$rc)!8O83oh+VQX5*XKbk_9XNT{-45-Uwah2Ic2QF>{k076_yqyb&_~2+ z2uSn|O%S}MZuhPZD-Sbs{e2$*U#b-shDHAzH(vtZAz$V zp5WJO@|z4Jm3YMj`C{-bm>^lK3s{`c@4{QbkqL$HS#+9|T6?I{!SJHyRYLG@ppbp~ z>89z%=p2J!*^21CGPBU)m0eInR=mO?lbcyGUf57Op;pNHJTzI)%?-~}>B`r|Bv8Lt zyd-ZWVeiS@TR)*Gt$B0`YrVPcg#t-@)o0-F$6AGg!@OsU9U2pWlAP*70jTV@q?v-dn=k8BZo*1nVxcD4Eg4 zSMbrbw6q+Z=LYMKcTNc!C{JU0MPjDMd&?M-#vbWrwo2C+1SP&pOXNAK=5`^JC+?Fj zU^D;xqDaHMLeR;+MveZz-$#5Hvr@^z;mpoRrUd872+ky89a=LlU`C4_C0dxqlD0(L zU_cre^ni+h!3~pf9xEe$wHh{NzsIAuM|qrvbrY}?u_h8tXp57dqAu<|Ew=1i87Att zMx?e;uPDk4Eu~~=*@qokHz*-!xuH`-Yt3??l0v~NZq(&O;jpp79^tVb8g~!J!l!P+ zvq(s@UVOhU3UY5D}(Qzq7KHK!pENqj}E5Xrwz`(@Sm{D5<6Md z%xfr`QhD{?g|bLyLkT>W)n`!=ibAF>;A~;t9m(tt#}y=Ylzjb<>1lIfty56-eICfN z;}7HuzD{v2725^I<0R{yd_eMB&7NF2A?+&(Mi2sc&*ez7$i$0Gi&vr*= zU#2`Gdp*+=3ch%#;N%;dMznN9fk&2?;9$W#6&DxdgD z;(P8OOdL)JFU?#rB}b3uDTTD_(szYj>%*7Tt2yt`@y_|)n#dF%F&K`KG%}?)`SLmD zL@YF4oNC48lI)y4Bop0}uqHHx5s0!E9{P?7Sun-2J!6dbw3yj*c6R(df*>BtD)5qr z$1)uKJY;vNEWy!(`ECy!NsNhtq8Dw4T9q#~FRSHazW#R{!+QO8c3^_Un({9358|@U zB`)|Ugg{7R*5^4Xh5lqtRYe1nwz~zzJSa(ev3}-hk8#S|H)KbRpP+w+8|F1?BVt_a za8?_(l%t}@!WJG97<+T{c7Qh#zc>p=;o%$jgrCQmdd;ioRcajZ7|}dY{SZAt%K{n) zy!3}NyDOZP&lW#`g?*ynU8Fm)l~2Sz#7QFJB!gq58zByMk`s;4(DOx5cm&TT!*IW3 z9Z>G%@CGV-krHo{eCZAl1N7m;V+rN;p01SqKO=aX)Mhd_i4CPDzf7_trub8p5Yl=F zIp7FBbeWNW_avVs%8EGJf@GI{^>8M1y_@PmQc>}#FWB;a!e?x0jwW)t_)s^H1Fb2k z&u_&5If0Ud;9d7ukZL8e^2Ch~4DutPqXLg6C6x)hwS@81Y%Wh5jHkDMqtZ$QLc@IE zP~hSeOOy={(WQpVxp!kw0vcx$j+B6AlI-6~Kn*T}#_u^56uv1b`EiYCZ`}b4l3Xe?4&=J5 zwE82`wF@RtKp(ONpXqM9UgFcv<*$0zys)*7%>^2$XS?yW-PnHOn$883x4=U zMq1B05*hz1-%}prJ~H{2KasJaTiZa`Hiu)^m!w6nmy7P^MKt(w!%+W5$F4N3q@)lf zG49l?8i_oE!-ONif#|u^m>K03jxpQs)Xs0g=|joCpk`|}K7sHzBtAJ~?j)64+R;Q0 z?X24!^@(7K#18;3RhVR|=X2t7_Vb`-{-s4$B7M-np@d&6e*%r_3!RX^Fhv)Os8NOd zlw1+#g6e4lb4pvs_}jjT9tHdF_WOSIt1o=;mb0}pc}nKKMD9hIJIfA7PpE9zL5)*w zUQJDvnVrdcwS)4B8AHrmC&DpOWY2sA#65OA&vI)qyBj%k%BZRJ9!r5GP+*aF{bjaq ze+EEmR<6oq?R(IEeu9J&Tk5xcyW8|FtiBD7FY2$a1kr>2yB$ef1#KgzBI#Cn=@nU% zD-sK`(%QoERWuiM_3QvQO;OQI3GUbcDD%iJ<7LE_0IRZi=}whv+Y z;PDE1wRe^b4#P8s|26 zCP?C_Ra)R#J7Fy1foplmn#fS&!5dDE7GBtZoKIC(vFb4FWuCKc@2xQSWX^9P%Cevn zU<7DJ>DP?XZ)X%U{>+T>eKSV2e58=PR3XXTze(rVL}Wq{W^ij|nu(^jt%WW0=JS}J zysNemG}~D)L8?jFIwbEzEQXBF`yOQMuFM|lF}=6K=~>7yJqaOhHg~B_$RX{~!_r=B z(^}JUooY4EPbX9FWpf)s6Fh=KXo3%YvQ;EsAc?p(SS|tw+{{zz_!*!VE_Vzz0 zUL!dn)uOkp3}ajLGlU>SSN3E4$gS+W$A(WCUvi14jZ{Ep;2Dd_Yx#^VEldwO1Fa!D zz9J1;dabraV+1`4{4^!MM8c4`gYl)hq}7xXb;s*OA_uz4mKL^&0G}7sq1WSVRny(7 zJgTY;nt8SL0>g8M?{`8H*c4@5-NV zARlPO!B$$RY?62Vx9!Ng(-Kf}5789+qd!}iKE|hAtH0XXWLEw3=jKC4^d~^;L)liH z0W8lkpO_zdvLg+V?0R)5@H-GoC@{NNjy8DOeoi|E zY^#G?q)v9`+GjUp+o9Rjyr9QTtpJDS;*v?5}KvVzPa@vK=R;H6wvf36jY^q9@ zQJi=<{PLO(ad>6h-ZD|y?EYXWnPBT^`!1-43WsO@^Z}cB=E%%nQ0CN9V_14zrfb7- z-ysX84sshF{}yXLId?tJa*IYgdJT19nZRa!xmC#jogT)+Oy53Svi#EJ0^`> zOQ+KO$fgMlrKu!Mq#<^{Ni^$}=RX~|&{^3v*0Rrjcje_L5paLW)ybV;Kez6&Xc%pa zm}!bA_?gY4QmU9$lCLA0P(i@PUPY{;l3LR;iSDtnQqNI=-;EvX#y&u-6N|8+#i$uG z&~0{$UimA#ESkI?<|UGd1-#^?s2GV;?p&pgTuQXU7ZM(_o4S|*E>Tp88&#$9ohEit zxo{AljLm2AUo@~YdMPbluKn6X!QbuTCB+?*4xq!g+v%wBuHrzS&*u z{PWkOQ)P49fL936@Gi7{&9%XH2zMzC6P<^&>LSlxD|s;T{O$zsKW^@@O|af3U}7sc z>1h;_W)fQAra53+GIuD=TQDn|=BsX+DqGGdw<422NF0#TZYOQn?Mn2M2<7vh)Re^R zMgm)!*T&Tor>>dl#!O4M@1qSiO)pXcrD{WzVhY?+|6)V6ElTK%uH^lg*gs|DN0I4yJckO$A0D=>Ps7*r;I$Y zN3;!`9$iG_wr4FJoo3s1hy7Gbe5BDVo07@*B?s=aZ5&GsS;MKc!_z$Prpd8sJT{GO z?_Z5#W5jXnE_ z*m*YgQ5$>sFC+7wX=8tHV;?yp_BdkgW*Wr*56qsq4{mTzO@#kVGN=i!{Ys;(gHq%H z^+x6syuojw_el zO!<7i$Y-V8yzWUZA!MLyNbGF;Rqt3*{FoGmb1ZRlR+*M#umcC(>%sTFjj z4>a=4lK*3SM!Thc_)F8Cc|+|<5@Opkq)V>v&PyA0;isHRI3w`A$4y zHedgAjG54v^NS{;KRuE-zn!$v>X0+(ts-ek;XJOxXJcU#7ao(`IH=wIBTzh+Zh zF2M-%rT-e9=5be?nMImjXl+cxL$2{sYOG%mGA z+dAK3ROeBwy=SebkZPwK)G`E7Z=z(ffL}qKe4c39LXicw9j=W2+l^KV+ul@G*7gUY z>)Zz1Nd%v#xD8mtrx3^Rwp+ukH`=SWO#P_(ibip()~F^npquA&CMs0g=xduhjYT|E z8!Bo-$rpBfVJD2%);I2WemtcVzg9RHsbLsTO(u(xQ@XJ3YV@@}B1N@5=8LX6x6L7M z$rBbfum6IU+GXWSf0J!Z)>#8J14dc!njLZM47Ee9 zUHT@T>{~bqv(wHt{f9rGh85ej6JLh`M#^w%xP77P58^P@=I%h_-98UW!sJ4GvC?aek3OWfPqbA^BdnUS% z@&V?)U^^B7X~|FSFqLZ#rE+H|;_o(MgBqGBxMnC~HxcF2o*%L&3dMi)Ev(acl!#Mx zt&t=`YZMaVwQG$e2)3&fAVDV*|B)sH9-2#dh}rWHKkr(zkKb+*cdaq5;U$5_Z>b`X z+!EkP*k~V3_OXNqNi?r_tvSH2s_I&!sckfGq}L=CZvXg~Z$DM}^}uwTh0kuZQrczm|6rf2r-2UHp>u<9H%pB8B1^gXSfSFKiK*vP^ z0;)|Gn<7mCX(k~2+eiQVoo8?0?p5QLfNnJj`tiFoXY*wQANr%YF@B3#%EoWes+FE- zQDB>v)h*)*1B9dpsUfASa8mL-G4WZlTiqLm7NoGB8a{ zFUAN{vp(LLk=7!WY1S7hLbviquRS)_vFpd5oCmnOX;Aa%l;1q@j95R6DCoRy&#lgf6y-rsiXd5U$(BzC2T-lJ z2L}otQ=Hj%J(l)b(_E=&Qu+uTObwM@adxBkmZy~xO^vy^22|il1KUKyV&VjvD6>n| z;k{V~pWanJwmD+rGH7$U?3G3_aU!(DXIJ$sw+Wihmc{o6@_Eb6Gk)Ipwlui?lRpNl zvOc>iRQgkOIXZ=1KeX6&oyiv_$RFR-egcyAP!Jc-_)LYw%Nq*SSbGx8GeFBjY74>5 zXIJ%RaUk#PDwNbKx&#Gt0cI`}2x1BQwB}f)Yg=hSH~cWATF%~9>3mP?+3xMB3PJ>! zW9^aB0~XCgP?{SLr3bi$Jl45H*P{Lc@Ma3qhhYcQ#JkFfEF23Il5~ zjZgmWPP9Sn`HB%-iB;R@#HBItL;^EJh_=Pp1lIGE^|y?}s(3dhVF6x1+^hl!-tdLU zcC-bsLiToe{=R65c_L2nOe|h93?5$%i1JR(fxvd?lzYS$wczAJQPas|r^%3i|6;cK zN#*0cbMYvCx3*;2ec6W4$+g-I+G4OL(`#St$v!q(JGdYD%@S@!esgjnDC^`5vTgIO z(KcD6pOPJr(CCqLm z$p=h4F(uqWsF=u`CDH|2cUAKFR-48@K8eLsj9;O;j^x9@-ISNZZo!3Id3dt9&tvmT zw2RxBF@^eSaWdKo`IyU8iM_Ifz;P-rM= z2TFI4x<0`!4kU_oFi_U!y)dX%gs>`cSoo1RZ19CREc|KQJYb%d8nkh<&e9X|@N3M_ z$ivG?z!mjJ3dCXjO^Y09Qf#wWc)Bh&mMdX75QcUFvLy{;K0hn(dT5oa&J(xErr7Yb zO`WnO!J9EZ)f>VMD>PAro!l<(swnlbp73r;4>KmQ7@9qR!BAiOx2fr>_-a2z@HoID zwnfuLM)WAYiy1k+qr1#=Vb#}^T~!AH>^(8 zZ8YF1{(5BnYWDaK(3nDRGhXG{wK_@mZ%WJH9%A$u1Rc<%60+`r4GWiLV{2 z`!VjK!Y|nr8*GZIF($=2zSge3h!4j!MZ1-n-ez1)M65sCek?E_Irif`^Kq2@_<}wx zD9APII6l?b)snTN$LY1;F~H4BO;^uVKv!>Bf8T4975tRAo_PZL5fG;Eocs+PD{SBYHf?pm{v<&o!Jcm6 z`70uf=MmxHd*&n4#w<4<9{aJ74>iKTS!Ex_au_!+0`B?5aqN99ecXZ4X0;eR2ZN$t zSB5bMw?O=f0PNt-2Z#_amH?0}U86PJ7Fl1XqBz51*LUL;$LU=qwAOa-{Km_-j&{X-J-PKQ`rKKj(4&aC|Nq#n#apk@t}tcUs8r3?(XcFR_1AJ zsq!{;O9XINLw)BFvZce$%Uh%ur1^QPrKS^?1G>em7xii;N4fOPTYtz+o^+G{u#Xqw zYjv75Z&SY;on~_8ZOP#|bdJ`P;8T=}^1Cm0mheImgU56!XtnNATd_srY7WbS8;ip2 zdFJmngwNFhBD+>^WJrDc>T3)W18jBM!tF0U`rk_~nf}F*X#^`VI+G@~?1#VMHNVhY z8C-AJ8IDGB>^!QYqq>O`IYSJO#erM}Tw9vgdako~*naf@ZXUT9U3NkdbIWDS1*QqB zb6i*v7tY*Uc3c}?dk|c5TF){Yd~=F1EJ-u+#7S4(N*Ng5*2RP%`j4M7D^R>Tur-p| zRW?7T4Lez%qtz@=bIj97l*(fsLL z9PRsGI$}Q@J8gP5m5oO{U9&yuv$jsBk)O;mZR)0>k*QVY=!|@*x9uX;jMpCFc%kzI zg(8eh6F*`kzega?)BnLU*uDf*7;ZdV-kl!^>gayQ5-eSPYt7!IZ=)U&-v&Jv_}bN3 zfmoJ*m^0D9>Yywp@kj9^mzMH=4HTxU?_i>#K-|eETSRt5VS&{EUSa zcEA?e$4Pgl`gfS>0adJ6sD__p?PR6I(n8I5hnI~bO^G1~_nHh=JNBCulc6G?qxGBe zxs>RJrzn&BCY=%U-LyU@V8cK#<(c<96K0n-pIU^@`WB61*dVW~jbpCl({)$466As+ z^ubPK6b>t%@ZNF@0jV{_c>3mIh|Omi?F-~)v8GReJj%~+XcXA3Gj^Y%GKJNp?8Zr- zXW~f}5P!1yRR+1M_)_Cd94W$l%k;*?5E|||l|Eqf<6ZR-?b5xqyOY1ZlO{LxhdW=z zPHrhzGI=QZ0}WMNdYOK#A3k~3>Hu+fVu!N zW>wu31VqpwPmn3@se`7t)L^TVnb9Ech>R-H`fSHqdT7>XldS;yFYB}AB#{1Qi8MJ) z&v5rOuGImoH@VP zxPQ=E)Qo)7NSEPN&j#9gq&9iR+GSrx^Q53t)foFwef&_yVIPi)s*eV~!?TlftdX%h zu#}?N>uaRLWDZuJ&5T#fTCF}alBD;zW^x`!R0Zu#Z~`hkbngYr{SYiiUk0m@w?)vWde!)=wVx z@#QJzBY8baOf4W68NBUI9yK#Pt-TxM9nr40&m5Nd@6(2T{9^jBkLNBM_VLNN!#>i^ z9`>5Ugo2H=U_8g3oV_Kp7t95AGrUXPqeIzlZ-{^8YgVHu2oX|33a-;QuxLKj7a3RpjxnG^u|PmA$Wx zIsYl6d*WipaOW%dyg^B&lkb@|7$^C;Z`J=Y{~z+d%b6pdcy+kpXtcy2R6Ci$64%|G zhG2SNP_lfCn+=Q2mlXK3`NC`99N%C(l4niUk5Nby3fsw>8@Lp*BU;e@GIbuAD&kbsV=UOA;lM$?1)Y=U#3P;lvi;F7#xL-&p6}G0qJ@2D zfL?GKtY%EpAB-?k$oD__p5db*JsZgn*NB>=%7c_MW$O(SqZ3Rykxujiwy-maTtcgT zU(-)m?B~nA-i2LrJkn@}%XZy(hN&)$SA#))35h6hYM|d6%T=ESa8%HdL*mwdq{lY||?sv6#de-*esjYc)a%_UXLQk0Ih$bVUacI4vG3DpBBaMd}2E z+>A8o%}+6~Z&E#xoN_5zW{&Z$AQdeev)KpUN2i54hbtZN4?QCPQx(F^z@BS6hLnv*3MXfg27r#Xa=RQ_B_$mxH zyjJ1ttKjsp^LFxq^=f@{LHn~x4#zCf z|99=BcVFUvSbMG4Hw?wHlYd9yLz9VLzg*C;t={v^|5K~Yd^T*q$O8H5BI8r#;Ho#; z&Z0&gP+mAt63)E7Iy~t^?1Nt>Z_AfSDnvwYB zg`xQ6ex3%&wL;BEr*Re^!}r77{`m*{cb<&sQK`Pc7@Enfy7k}mFq%EBqXz^6Wn=U_ z-*)u1|Jc#5nNDJ}m%o!P*M~b_&P=XfDNOC7zxC>GR$}&*y`=+l{IEB_+glwnO3d74 zYC=AsyVE+l&iCuwRXBcrA^(&4FX2C61%-d<_8?6LaGQp6D!T#bq(_{d@@WHHvYfco z6K*&lk@uTu;y5G3d2<7KybOfAA>F6#UG)wX!c>32BTXJZ@GXF^wqzJxVY&0w++ggZ z^wvogP9-kso@O)gezmV5_%W|y4+EanX#AEiE9-4wSM(K5_99o5ejA51H}hsLc8?^k z@@Sk^!y-e(#%30!Mb8g6yik!aTG7ot%7cedRH+qGr9ON+wIm7_{V5}@f)kwx;StBE zQr|-^aWhr0^LXq5l{PT?#$01h?Fp8BJE!elql-6w=ZuI@z6y2fygpfyY`RH!p?^WF zVg~mMhdg~*kS;%m>afQ_Pla#3l^xB;&Mb@`h_gMTQ5xH=UjDb zkOPdzlI*;hUu(^sdBd_C@0RY^OE30j^7L-XAoLhQM~A#yI)br7FZO!OTUj@bF9xhXl<&xlC>_tAlHG87?go#Myw|Y1rqdVdsTG zj?i$JJ(MfMv5)*WewCWe{4H_-HJw3CI;&K+w|Rb;3wy$oI>VX$+EvL45A5hYWBIwK za?%%V1AYilBPh#qHchqLOJH%vzZx>E0i@;;x$^m40g^5!bFY+V2j{ z>*$Ki(nszb!mODXY4Ok{aKXpXCdQm zUd;xB8qWqp{0364*sk8Wm&6abb7SLQ`Zs3yMkK?g!XdXsD_)mjh&;Cqy2?Y(5Z=H~ z6{m|QZV+SPd2geAZmhP?2f{po;=7H5P^_oXu13%436*{=-@EP>$~Fp%dwz+kRM%Fa zy(l<-Ga8meZP7CMf!2PMkyG&f!O|Cj$~bp6>5UiLVlGRe{Ba#eL1`=DioIF%VGMKe0fim~D-12WBJ zcn@qX%aNKym&%07{5>3`L)(mSj0HLaCRCtP%L$c99^MrQOCFAtjg7U^DDSF!RSWWNSlv26Z%|?zc{qf0$eR&{tMrC2 zJ17i)K4OJo9SEaUcnKi8k%B{Ig#_T7KmpP^MasxXiZK0EBTQ4!Lb#c9c`_dN!u(RB zDJA*t$GSozueD6#FMTm8hh7Z#uf%Zw84hbpx?E@W@ib@_FzH7U_Y`RmR5+KFRN$AS z!dVoiLyP+OS$c?Fh&lWCxuAoe`48}O*}eQU+{(|w<@`L<#7L-cUKuic*&?~RH*3qw zf)8$#DjS{<7pTW?YPPe7>%!8**3B$?mLysI;Nr!MT-%-w9k+T*0JF1<@^5 zrGkcqmTcp|=!@7LZ5!C8W~{p2a18DcHnGe&!z_f<*|AKyOt|%Sh3sT)xWZ*ELazL% z;eRku@D)~*)7}8N&4#L)VXiNjuae~X%h?_Jgelj%@jOlFgx`3xZlj?szKmanj zj3<34yh9=jqD)8GKJG;t=$u_LIXx=%s~K5!S?B%_E9x)M7~2vq^w<$tK41i@I zeaMOmWn5e+q(7xeIZ<$j8(d_9b+FrJuF1NNn4W9M+@`S(I!zSpr*6h6l*=>g@}KEh zZ4h4F*E`Cj^W#!{RQXD9EmffN7YLM*4fL1unf9;nPmJ-X4W{of?PAhnRrDg!WyBEmUnE%y37~2BJWP?8k%4 z`wOF9njA3rc$|hud%?%I&;%eUjl{=gLrog2d_}kKuv?+l3oN(?uDq+2WPkdrh%*t&S_`3XOXa_-#7 z^{)9Y@8J#3y4c5Gq3X=t11|*!Ru&0Fy*KF1r?)1(30}Qd=}jQ(t<~FDy3!GIEW(%Q8?$neMlH8}qtE?qO?uj9 z_kSDDC;5Mt|Cjjh<$oGbPyK(w_X&IlTw1QrQ8ig-)D6;dfRKmzC;08e+`{DVt|a%s z<|`GlsssOJY=~FWFIMj_m9P4{ch!#|-S`%%@|`ag#W8VgW1-!a%YQ!q<08&#F(?tY z+y%<+^;Vvu?+rZTs|6(IOQ=_VUsSD##3nfr9KuKhi$m1m| zKz#LN-WW&z*eAJMVDQNp?<%jU;7;YWwsBgvJ^_?^-lLyNmqohhNz|@1#8ymt2KEJ? zS{oWY0ONbdU8b_jU--^%f;&c~g+JII9@rUPaadiy?lO15vsohI|HIpx$46CUedAd= z5FpqcNhB&rt5Jg>M1oFYJ@x0oFHsT3{Mi@gd z7##+pqU-og#*@m;D0+VYf0p3<%1f`Kcar>!n{FYKQlvpkG@%_#5E7L z%_JwFiCscuQ}Qc~ZQyF?f|De(qD-Wvv~3`5B;ZPKz(aUl>vGCcodYABVbVz2%u4ly(+y3aMOXr$pZ^qlmDSEmqNV>2$r{h;ohoXf_9OH!2@o+Fw z{BVGd{tb_VnaxK1{m{ZL&0grS2)*3!6rVSG~reugbMdx1>J7Engq?)T~sZhEhltl zLk0Szo6x34@CR%2QdhM2yff=YQ6+sKfU&6twFk0QEBX=-rJSfnb^Ro&>%F16t^$1_ zZW|uz*8skxbE^z4{O8}{Cf;T60FS}IBd&O*esrK>-sOq?wiTG0g!YwCb z+pSpkRHPcQ{_1L5d=hKbJ!<~m27er%)x!s%+nT_TYeN$;c^ze-!igF_ZcKrRkUA$~ zjyTGoc7moRtu8}a4r6z!t*in{7JB|b zxZKUKKi|RlHWi=8c&&_@d)O|)fjnkHtpcMgf0c$)%N_U(O}meqq-jIHznA+EaTi%8 z_#pBTM?3mq6a3^$35+SLkcyx#v`m~1U^{p*}Ocv%45ine*f z*By4YWXZr>#bNZ_$ zF**2SUwg~#2mq5}OSyyY!W=Gz*LkpnOgPMn>`Y2-_!E*(m1KKMds5OLv2Qgp&7{91 zCQZq&H8#s)VQ;w$3915dhIbn37yL0ZP#>!XbNo>)FE~qEE=(|-JAVaAcwB_Jx(w7U zIx(L1=_5$HL(&2x;?bF`)La#9l9w<@vZTn<_$M=7#;SIn*~wBd>11g2AiK`YiqCeu zQ4klJV;aDj#oo|d9I(#H$87WF*JBpQLI1M+#l#TS`Gv?yoU_d`SOnqR^wZK{JXq5B z3U8>oCNy_8Ohq8TD0sIq7;7Q!N)Z7?1kf#yjEZ|r1DT|5IT678tib#QNB}%VsO#=&~nZZ zR)OYT6>?IsS{7s_3ie8g&rxb1G$a2eC7)T73!`t&(jhWGtXWEd!ENln5zw5_=I8*# zgpMGi%Lp7>v|gsBs#WA2#A5u_9Lp`d6AA%t+mOqcrPxg0=hGu0{EkEQ0hCd$Qf<%M zqBq5pz6>L2jFprT#d*AiyNgMKt)xCt7!+7ZPciAxZs{=F^L?X3<4JcgX_q9~o1>`g z^U$Tn_(`qtIG#R^x0Y;GP2znBDLS>7fusqY(x_uGCeQ+OwQvNS{C|voi{lYyK&e2E zDd<8+d%*Kzx^kQ|u}ZmH!xC1%&f8T$#3HWXMMRS?n9Qo5s@$)7&EV)X04i2QmiVdk zN#NBuqmd>=i}a~kIJ5oKtG^A=xJ+Mz0d^Yi-XOwYr9Ls!Wi%G5OhOYoP!G$xkTQsy zXU_7TM*`is_B3XxJfw{11{LPUw~c-}qpx!U)1XXee#B8IYV>R)Wu|^jWn#Q z;xn1k)SStoNtmgVD)6aKnAL8Xx#MRWH_VAmR()a?+??fU`s9j`?Jn3uz?7gz)lGQ3 zFrZXBc8>EFVaw^HmsKgqpg(f()>KTxIFM`B1JHM(l zY#YHX7xX0*3#zw-CKQOh$3wrd?&XzNe}im=u;KRW`^sIPFPfl*ALdG*WFI?#3W5q_ z?k<^Vp;Ru`!5`*4R&k<6>Wgy#Ia3GL8iAHEyb@8t)DQBmKN<$~mCh zi6mG^pvfA{H+!}5|Gs_SUw72@y>+zq6&q7N{(op+p>f)g;77I(RIZu=MxO9|vr+jQ z)J$4^&#`5!E_^*e+$lu;ih6?S6{?U<8@gPfStKaK;#BR)4ULP_y)PN@W$ zE3f4+a06jU`LfseUm$edjE7Huk3jIp^oBE#(cF0$?;{U1fY455$5$;;Ohs!otc!9@ zXEHeXG+cAqQFk-mO|zceF|bR`_^vgL{tTxIjk!&(i}i<0F5O)`hTM0O!=tXqeF%OI z$r8h zVU?Y41cf)o z;x3t++%D5ztHMaXhB^*T=Ull5-9|zWt&)w}36f)cF?I5fAlj#Yr(ORI#XZqC>2(D) zFwbjNqJ+tKbHB$v+qmijJpVz;<`K~y`1XcxPIVm!T!U(76fEIRJli~xk~dzU=h!J6 zKKG3#WIqYnQ6pzO`awqbm1y;5&>N_mD5~r&1}hZKjWpt*^c#eOhcoRh=vuT^wgKJ( zG6hv!^j_dpOGIwgJ;3?=b|K3W3ab~ydXH6|E_o&O1 z{tuL306H{Y)dIw}j(5~E5Q#anXP%W$Bu-r9hBP{At^JNq zpd+xie1QL`UgUjzQ*^|ku{7>(*;XnQnXv<$lc+fC?e-jJoX650*BLE{SuB2%pZV6z?=2d}0 zbiP-VF*STJG~r!s_;(TYGG=puSAULT4%sG^$74Rj1P0yl3?XM7GZqc8C|JO$6Ed0F;oQGrV#tK$8AOdtOXF3%(h4m^21<|Oxk(Fj z0YHsM%rwsnseBsUO1qe8%_^-APU^pmLYB1>^O^YDSjP0Ii74LzDTd7fquL!hk$ z1Bq2M$qIwx#f4l9QwnxFYeJ>ieeh&`O0iqXk0teBVDP#ot{VJ{6C<`zdK0M~7sVI$2QE^mxv$dX zb$}-TZxXn1-BoP+c62Q=>mjvtOo1GHg(@4AhKeSL8|D^6GO%cLIMmYf zj({_}+(fJdE6_X6yRN}3pI!yVL{X-3mf2#%hbU5W<1}e*$uRpeE*G5HmA>$cRGKH; zU#{NBA@rrcZDb=KZiO}+<9c%uE-r$U-5}#WFysoZt#u7+gt06zL|T#GMBLC=9=^91 zKE0Lm*I&Jnp5e>W-!9iXuuqEJCpzkWX%RLjtsE`?2pE~mhAJ~@gIuo+#Y7FC#;0jJ zS)sed{M|gVL+8e+CPsePFVYkamlb5khzSKQzp$TzoXJaoAyyYs!Na1Y!c{I~{T337 zy;&VVE&H)e063J(x2Y6~iLtb+sJOaEGSTrn`;9$?34!hlI&sOB6efjPT=3l6kmc&1 z%Tjo>EZc%PbxURnl30|k+Kb37T@JJNOJedwfk1Fcz@G(0*{b#9Ud z9yy}CTpll7F`3*7W?BAoS$H?y%p&KmvXrSqQ8gaPT}%xvNYVzJoaKdkFt*N}MOOcN^R(;ymC=B1s$1 zB32mF^(A=ae%a&5AnwHIQo-_Xqg8K8+{!LQ7V@N1z>{D}pv3fiw+{+9x;x4C_SI;{ zh;O=cF#U4P&1!5zg{A?&6m&iU>J{zl@LuAT#n9jgv#Ew}^Yz@Nl&5br+0@bXIg8Fm z7IO5TuA*^ig30kzT3ZQ1@JK8QZ`_5Y-%cFK=q39TM08g8b0jzjSO`f|X zDRCwoCqo+;luWk~m^8}(g5SgjaMI=EzS|)n!+Gg;`<-sUsDbq98?_M}OK3yZ*UPv; zCW(wu6=9DU$H1aX4H~rXYS4a!p_dHWbp5tWSoBsOaJlTuze2BxK2xg}5rAGTj4c3- z4;Ct5P25dKlnX>XYvJ^@9Tj*ExV(5*8INk0SAXbr4YDuS5vA@|nPXL6y}^2EM2(b1 zFGpWba7pf$$Ll2a&(C)Y-}mlW&8pman+%sF;iF#aD4nYgL^(`Uo(DM-XK{S-vE;cz zNIzJ5po=_0@+rg`#7(v?>r=2NZQ(%hVhB>u>8@d-66v{kR~R=>F^^$RROJyYS?og& zyuq^Q*m$~dc0ptU)7jfoqB;i`d514K0xFmXs>R~QF&A@SMW`J`Qct*_46gsTNHOXxtMTa*HSB^(z z%pg=+U7p+i`r9FYS`~p54w7qHjk<)3-WHt+SG#ymscuiwZ)w%CfztE^#eV&2Xjwi8 z9!~!`9hW&1Uxw1bSlcDMe|}Oc@7f@(9I6E8SSyotH@$_(1mL6UxO94%<%lQhzT$jg z7dEm+v8oOC(R1QSAJ0M3P)V{k|A3(j9){x@C&)E{8pdQvTuUCza1mgyTnfI z`gZcdU_)_D8eYc5T2O(^dN)>)eb16dgmdrawpu9Xf7eL|&17O+KDv25W9`lV1fJxM zu(y7SINWW68B};gs_c9f7H@T zrxgnv;R%-9A{)4eP+n$8p5=(H&=l$kq3KR<^!5bAe{Tljch{<#KdEYoqqM|!-7mci z_8Y@5x(FBgI=Pv155pl367)C;p>s)HmMxF?9N z*zl$d?G5DYI7o4$D>ia&7g+UtgL_-Nr*4kNE1y6b|_~c*-5e-7S4V5c7V4j@Jm%)_RmhJ%O6#e)aBXax@-WP zu`pH=Q(2dvE2)|#U6fSPvc!^#5=wd@xuhzVG$>XQQ-7(Xy;PBYwpzNtY||-;C9PLU z(xz9FOWHpRS)Wqr=sl+XQc3A`CcjX&oz-6&H%eZ6GY`vg_4CtqWXGsn#1>qv@Y;(Y z9)(u519#*vkU|r{idgeA6&Nh-2%?IQG*Ogw!O|&#%ZXYNw<=RaXx0z=T>oC=fgfl} zI&pbZzYOHD(a0&M+*>z>7kR0$=~+kjU~gt}bG*)*TFG*Ju0xHRRk4a@BK?8gv~85q zen5PjLmwiCzO7Sn7V_MLrc7r~&Xlw|v&C!JVqDQo1oKc?TCBj(VuF}0=8aH_@kvdl zPCgPq%F&zbW$jdZ$NHtc=cx7;$J?tUVl=tlYVupETwn$9Mh4^CY_gQr7r*08e)G4e z?*o?#?kivKhb+NW)as<#o0kJ00A-^Q&i&i^`P(X%bJ2T+L{yNxFU6xL`CxM$Q@{_Mp=EZ$n7Q zHIVoM)DgE3uv^%xAQVy)j$jS^nO8j4k&#>jgpdP6aJ4uvk^*MOz)WvmdO7(h;JcN*D-WJ_+J zmSKR`#ffSgbYCRuKi?ok-EB;JO-5&6Xw?dE3b2^};gH6*#=obo?3@_PH429Ac;hfP z5hgnZ)2v`{W|II@N|1Qg52006DzAC8h1#jDAm9pZFO{{b>*%eDo%vDu9y0GLif&~heD@v~U13aOU8*@H;~Db>F0 zJ}{bi+iqdwN2;n1StmaHSt~{L$!M*fKaW`szM^Ko%7XF!#ViL%{%e!6#OK!0OWDFK zcPC|uPy3^1xtCe0lCs2S{n4{r!7OJ<7JJL5XhpndTueGP2^)_hf2n6unB|j|i9Lfg z;uo{5{|&PIEh!5Z_+KjJA!b>Sl!ZsRzm#QIJ+e$l$^t?>N|yNCk=)>hmZ03Z2<7z-Yt{_2$ZdML|ztp6q%rZAA z%YUQ7a%ORxbw0KSR*O>7&ytnd)V0u`82!v_kE2@B)X5;NII;Yhs6T(%8hJjDz`tK= zz$|9@M^cvm)_}3hvPiPnn=d}h2C$_6)_|uWyc(J+=?2I~cAnQJRDKuJ3sgF8vGC;| z{zYMxXU+MS2$Erz{QgfYnP99iL>S6uN_K(mD4#Zpj8p}fJ($nj>t0gCvJ1e{g9DQ) z@yJZTJSs4CAOU*O=HD;%;I+(Bo0R3h_24LGIbUS~6J{ywy~t2xjJGz0P=gf|I)qSU zB+-jhn1#dzw-reBD66DvM&L=Up0oxW8mTK^>Y+n3bplgY2{L=jqk=<>9@nxzFesyb zpq5Dqy2{cqu8+n2)J|SeRsQiU^w?rOcL8<|^6nxu9>di1WsBOVE;?eug>}{zlHDlq z5VKm(oXG?Cqty34B&hnP1+KxsnpvY)#j@5hYhoLLc?)PX3Z7vp;p^w3FE_p*GoujW zj?M||eC*037$pE3!-49kV{MYqaH44zG=cZy*!wg3Mv1mJKY%8)gqPzZxtqJia#cF0 z%6gsZs3n=a=m};y!9@8r#)KmZS9nTu?5vm; zBG|x+&?&6G8k5KunA`Cj16iY`lEdEof~t{y*(L>J)_NDQUSqJ$F5?YO5!ZJO*O>Y^bb+alOI0LhS;vSjWns5Q+L47S$}N~~JdIHp3QP>IDh$JtG0cCRIrzR1ax79g zzA`I*hsuG+b8r$4M~8q6@`bd>R0a1B6Ye((?$l(=_SPzp7_rljIIy3ra?Lh#jr^Hh zXPUX_NgTPNWY~Dm{AM)@`=6D5xVCp${{~^Ap20li!guaTGkE6@?o)A4j=O*G3{y$( zRc3m&?oimnz>eE|9oQXhnfIl+$)aQt!5n9~KbYk*I{p^muvP}rpomVs2ixz z{q|rs=UzBB->lKs&qz-sjgE#~k(FFl!nuAEZp~5PDhMZslb~<2Mh_}DDtb{I-q%t! zn5D2iWJ1kTQ0FL`!2f{_NMUQ|9K&CaPnTa^b8V{Evx5Z+Mesn!0Y)QV5+MSeu* zqxQ#|aD9#f$0zq9?q(Uh=Ci8J+oi71yo7UaG(lQ=f$+6J?9`?L#47tY3IqxsN5-#FDrXAZZ^5KHJII&( zqGtm5HBroNGR{%J@+grtshk9|G%qn{vQ%*-FhW`dqlD9zp<>+fSD5d4joyi#{t+L( zi34v7_SSAR62GzCpS~A8@rAwh3&h~p2K?G(Z>0hgp)c*NJffiEH03^pKFcssrmsWd zPJ8QfNYvocgi8cas|MvE{X;bGV-&F3sC*T!#qb>RX0bt){Dv2C%=RQpDWlgi0JI}C zx(lJ~l)04v9-YDdm|xB;T|l+YD1TOEdj#2le-9?dISZ};G2sbR`dcWR>!hl}^o!2D zt8�`%5$${Zs=_mC;@Je5%$B`ZZDqVOqMUSl4QT2UF|tFSD*1uJ;2j4_=E43;~ZA z`VZI_poGd|Z`hN1>!g6st9OL7*|>v;*G%CR2l738+!2N6#|mH0)ALG-gkq!In-G%4Cy}2rl`2O(nZSTEd})u7`z=Ro!2pDD z`NX(yKZQVUzAcR#5^E;u*L(;T?{VK67I1`UB*q326fm^a-G;uqC8JQit z-%**zpyos{_bjNNQ8R#(Xy3QD9*|JM0Wdx=rP1%%TR%q(e$lkIO zt%o)Fbg;G2TkWl+FETi00AE{cC3EkG zG8%8*0cZpNwHv4ZmChU;xic;!&k{EIJyJ&Rn|ldL*(4=_%U%lcWGY;;O@%;`Jsu5H zm!$_jjJx!x+zhM)s1g8aJ2L}rL8o>a8*xSlz}xaf(i`uHW+}%P8FJD=9#bn1DT&29 zMjCtZWYnS!`_qu^IK>kPFrFK*D%PlZjTp$E!C zkT3YpO%EI}Iax?Q<1ffOxu3HYR><4=3(T}uTs-*oZ;i{J=;>L-d8_mq{mJM0 zXyLE@;U{(iHp%`^Zxt*!!3yWVpKn&aaXd0p;Kg0ip0zaoU6YAxqz&)FuQOQBAASTE z$Bx`I(pKkdC*ZfNmYVBhdpLt-aM=vMY!#Pq{(Dh3@VsH_|oeBetOpjyTJ{e77us1&oFb^Dm z6i2T&p*>WLRwYAw6!g;NCbT>1GNIq6vUZF>+nZIH$Iv#T%J}JjrOFFbtytmts&3G* zznK5q^&+JiYdZ}6Jylv~!Ol@8+nI-mHviL4KSX0DcUIh}C>1H@}=00i&B zZ3j$Up{m16%w^UAOUg#$D%3&$IGUYMeyB*wZrP!QhH0UhFkT}{yZ5j<%)lj6Yu)1= zk;{~pL5%(m)}1HiTlz6gAExQ)xW5Y=lQNCHQss?C1mAvrW~M(h%oqGIC9qwU02|4 ziFt4qk5Hc8N*yR^rvg8R=&gJ_om{OFKb^WfMUPOv-pX?TgbMW5zp2njy_KhLh${pZ z6&kCz@`w|0#m1ns;h!E%1slude5Q!?sLADQGhEC zPqro4gX7jZjB$eSF3H*Lyv4@LDyA7`*=W9)!1oDKmLtfX+tj3*3Ae<#))`O5cOk&b5i{2YdxWhSvOnbXQ-Pksj-_!k!ye&rNy>} zF~0CcY;1CSi4TuR+prYC)b}s<-Pi^ zQ1EpEUq>z1oy>NK&#mn_6mPF+2kuhf9@hA-zq)S{=95j#7@Fdh>~*51R{{&4dWJ(# zK6w|r zs#S>^h=GIObp-aCfL))ARRIh@b9KBj7PHH1FWn9HV4OP)&v!tFGz#D3c~x`{3AQKh z%VQ4{llepSJR7QKUhITy>(o=dx(7I)ss#%K*Ydbf;UB#Aa(v;%PO_#jyc<_{8H*eo zUxN!;e-GyCwPIMID^ny5PBPu$sp%knFBTy1C_0FD8?TJy0De;9Y8Z)KBJZvH!sQsO z_DuRuMi0P=r%4a(nIt14=g$zHm~c-tj2fz)#EYi6DqqF z=T&SokQZRvPUOCDnawxiZFt$S;bs9E+-|d9N$PZiI)UViBak!!2{Ev}+fjZwFtFQ> zXm8ItvJWQhgBa*O#4SDguUDPM0G)nm)=JWh=IR95?Be4lJwr$?ZyQs={zzAv_!Ol{ z5ht<`5bgudwB#Gok7-Jg=GQ|c8JNWBAK*P4Z+K!ViJ%a}UTCa_46Mq6k-ok3U=TuG zN+27$8s=Gf0_L0X<*_VNXN2)S_z=mqI6-*fc?pO(@qG*I-YLBv`G7X|>DDvZdd9hZ zpoS|#P7ok^{5h_2<{B?sCM@&tZUpC-GtSvDF)gL!7CdPYLcc&N@8KpoYQ>bacDZ=q$j1a_nz^2?G`@s6Z8zX8c*D_p#r8 zAJS>v8eQy~kH;LIlEVW>Yb~cFB`^|I0V{{BNX;ZzL=ncQvMDT8K++{PQ^7b6UaD) z$jCLrm#33)P8dMOxs!}DD>kLz^N=m8D5w0gR<)F(9Q6lP#y-p+Y|8a-HP>2r_pb0@ zaSHVnuGo-|Wok3BdF-X%8XEwp55kO|o8i&FjTY;hTw5EUU=miVLDeTL!;%j$8`8`t zLV}$(EI;T-ceiT*`A<4fs%l_4nVXFEY(Wbrdct~5wD8gWOZdiTB_ce92rtcwRkTnr zo@p{y6XS}X!8a+Z@pE#tM1)(11K}hf>`*N~*Q>wh+SD)_LMKMroS*x~+eg}*ygx;T z`+66OBRBSh{3+nOmu5A7+#Bt!z0jTsoTr0Jkp+Y0<6h8BeMzkySOC_UJ?QDiRl3H{ z>8$;k!5nIgAYT1R;-Km!EVchMIVYY;lKv)b3+FU`GHG~jrnTz?6&JRF3R6M@NI9{M zrnTS16Hi||dp4BQfAt6U=EH#O*_i0636&6!eBp}N zf)b~Xg4LuCic{^Gm~HNEOl~Dbfl78p=rkpUO#DXacR!1+!KuT|<>3pFt&=O1g%2DG zZUe>_@=0one4UvX2;NYi?o9#hkrx3wmMzaApx+u@Wa4g^XOfy#$r!)=<@!Z`Z6V;Y zsiY0Fm7*U9GycW)VHWsxy&etnp)oQ#MmJ9V^Z}qVi?bw*1JnG7KSXN*q z%*?^ggM50a9J~L}vix?Wq2PVNANt}H3)HEWv|6V>RI}5M^ZE($_$)l{-`)+@;Y;uA z*(rN5NRswte`E%|b&J$VGe^woUujQFd`cWIbSPxVPa-prJ&vpbzc41bpIyKc&Z+P) z>p1NZgk>uco(lGk}T<#6}>l-lT=ZN7@(0_8=me1 zyPV?2ykq-_1y3ub^{$2U)DQJl?BYgMmmORLhjTRBtqteHM*$I>Z%bXQ~# z*h}yYYAI3zCqkXU7xXqmCtlr-_w>??ayy2Gl#MfI{I$z>Mu|JRsH`LN`IA#WU_W8u5;Tutu3vaaUV@)K(T6nGecp zdXp{YOoZl|qh`PJS5VL43;*66F9uKoTWwnNBqBUBXRf|(#X+#~ z39qE4e2LEr5X*Xe2ELk_@&Z05y_T9%gKz6I2Vv{eY{pw6o9tKkt5d1D$4~60@*8-H)DztkyU=7)WpTUFIEV37^hZq@;Ygun^*@wdD2kfwY zxq+a4xEi>9xGTNbPdkfO^A{sKexE-Zzu{4?`aeEA(qY4+Z~5xXvoZ?dU4p1+D^iu=R178C)0x)617X9vE+@cu%$-i8FqBG8$) zA56=|)5Bd_Mf6XcQ_=)cci ziA>ok(NmB$6Ba~s({X@{a84?s5wV34TM*8{dzsj#<004IOH*A^|AoitQ*i328s`y7 z&v>{Gw3lzHbo-sdF*|jgJ>Ik4-t0uv`Mn>l=Jz`F-SRQw{n9p=f1tUxhFYJ#UY?XZ zjHdZUysve9mxj@hzC)WanqHv^Z|WgbHw)ryyF=^Qyw5(}{Wbn+dr)U@8iII|{ND)s z9f)!GQ@aU)i0K+afRMDb?!XIv*IN5>_@DxjY{HxO(z{(K7<~)_+(}_uEArbMsu$K1 z3kuHm79R?H8NnEtgM{505a2u(V~CZNqNpq#+h8#fA#JF!{1zcV`1la7zF8oiCB%D( z$D$@+xPKl-2rCfB7YeIP--x%gj<3?-(DYuyT*v)JkYvP`Wgb#put5|vGdPIeO!k8I zHNfr`YP)jVK5W^MG9{DkcJD!ou2RsV8CwMp`=#RF7U~$bY^^)6Tyq_!xdb}seH?te zs&Q!kiSDtWfglT~WF(aJ2{{i1J{GDxTPSga&ii%!N-drtGb{+@NVW;Dnh%~T<` z8_&Z5pz#wDgr`;32prk&El9ucYx@<@WX#abNDVJg-c-7$7vxSt{<{~X5qMbfHPmqVQzB={ zPKRf=STS$1EkjRp6OxP!HF9lg{5XP37iw>#8nr|zbXPZ@=@tZV|{}izdQWl?Yp~TT$ycMJEbo)cU)z z8p@JpoQsg&EVGyX(GB)V)0#){6??!GkN=7O!Ht*E2JMAaol=n&>P>RfaR;RC-LNY= z7DSB&>x*regt@E6aOH=jnLGS!xPQ_^l$($MmF0}x!b_;RaC&tJt5@*pN<3abuFi)~ zu2=&g+F5Rp7zn#ptd|81?N`HEd+|LBGm;T4- z6N3eqXl9i9aWiaB3VDP}pk0I5^)z$^5F)7VadXXr5}m3V(V3f7g+wTJlQ?XFDN#`m zPnsj@kXc@m?=nt3z#52(5Eoak6=d`#Bd9#n51Ecvdeh6VKIF zbrR)k9M8|@rG`55Cbg+)mve!Vm4Bm<)+|%BWF;jyd-Gyc2p!?eLfhqdogxd=q{AT8 zX!;(iNi)$0kw*dNp$7uQZsGa+sDHDr!EUq}cVHwQMmHOc<0KyLRp11IM1avm79}s< zAxJmjo;3^SpD}=~Yx$73bz52=e^)@dz6$|q8TVVG9 zdjmOLp#jIx;3{4jOS3me&@!X#Kd2n;Q<=@tbtWc6AcwDKecia8^#Q!NC%4M*e9<*| zBrrHX?BoHG#SigrFz!crmUH3sT>Y4uz8$S zhyx6~Y5l2sX2qI}_$Iw2*x!gU5);v-lS9^JlbW)O`TIDCt2iG}DpME_yF!^FnyX8* zdvSs*zl;kNut0&(!8uLVCZ(c|p;VaXC=(sL41=&U+BXAm9Y+^T49V% z0{Zt9%oPuH2DNNKH4L0K8d-bIb7}mbEg9awFuI`&Fkdo7oPip!tBqX=(OgMFOW5_s z21Mhb2vt>fDk^1FumD^z;pg$?EuSU)>{WfL?erx!PH6Tvwil|3*C&*#s#t7XmK4V- za{P^7Gup=1(SC|mBq11QBvz3Wl2D2Nrz+y;232&hiuGm{yNvbUA@WYz=)SU;ksY+R z3r%oq)$5I?B`uF>tQOPQ#~Rb_k~I4Cex<-nLqjH1FfD*IxZ;;ioluipT|BNE>)_*) zJ2=<}z^7(sg!F{-$BRdN-pP|gFffKg_gfkjL< znl0NFr5ClYCX=wcI_n0&t}hS655~V&(>tuCPUZ`x0A(LQFL#(Te51rgsxOrNAKt!k zX!^`NqZJ&Dit|PC{UbUv@TnG>fh;0$z&cVf8f~4Y7`+eJSdW)z%RkcnCx8I{a_&OLUTZzRm#h8R^TFO8Z?tlPxYZ!>F-iH!LjEjejzZ zmYp!TguSOz3*MHQf;%_WlN>mO9f!fD9eeiJuAcD@+yKfjUrmYGV(?Uv2JE;ggZ5A` zo~h({r-%!_S`HA7D*G8{O2a0hhQ3T=sQJUlVPM_(TDFayOR-wntHP_JFi@Od;q{+t z4q|c9{*tpB#>vPP!SP+zAYzAsI9a`Ikg<+-u=@Qfnas7VZp+Kfk^Jgn$}K#>;d2f4WiQ|xPlQxp3~id5>#D;0pCh*3GO(fHBcYtW01cgKp%o1)R)b z_qevzz2k9ht=q(u(*cxTHy*y)YW%hC05`d^&PAq zdJ4>eccVe-PO_!~?0gcZJM4jc^^yDWzJxXZ_0VEujWnB4FlDnzXM0`k4TAyg1~08I z$*vm+hJ_H!G#d97wOiNO-U5715jayAuASP9L^!DW5 zG3g7_pg^gTVPR0_+R{*hBCCX6ebwzy$bmFhmxr@{zCedr;FcsR{<-o<#SYnz7U98< z4SrJdj*{aWZuGQ~*(B~ae0nKl*C{E*WHiIBTY<^sadiYTLbql{`!;6ubcHax^h@%P z9QafL`%~OxJvo>K3Uq-5iU>J|tSxh$(D=XlJD!p&Yz@C!$)!Kmzj~>=6c_R;nYC|e zs3Em7+OM&1PgiLOk+RZ)CN8lxzK6^?4VSDWH6`#1pMD7rIkMf%-Y3+M4FzjsAJh_2 zW|G%R^2U<9+936?(`*gnJZ-FeLiu1}ZjbJDO!r{E z!Ct(i?wPTXQ&%)r95lT44ew1j*;Fp zDaoeejHEHG2e-#=YL|Be@gxD#*e{$TSL8Lml-w`YBo}?j<(6rxD2`#0>ZNaly(QPf zOm8o$!Aa#N(P^s|tL}>PJH1hZ63ta?Z+Q?&9(nA2o!2EdhK!4Dkf+umj4xk-)L?_l zmKtzjm+y5!UFGn*cxbxB)S{}mB~+UjfjZtQvy!HHUC>}<%YS60cFga>8a_jSB?WOa z?qpU$o`*OSB8EHskZ&I0RQ7+=miyPRpj}Mlc|9BIF2ZLdKK(swQ&ZX?YNYV` zaB9Q9y)I9|qHj&c1Ny1L=}wn3dX=QUht&K^}vX@-{hz&9QMz-iTAjPtJ__EdykWzfV zY(CNQqk2<27{Niz!IS0>rw(K^bRgJ|t)RXYy_LJzbxNH>Rsz*GvMaVaD!xS~sX8vF zjTQ(PB?HyLQMg>c-q}M1VrW7x&OgCKcvP ztLO9)gPGOp)TDZw-l4fREON&6WlYYYqm6gwX5)kn@*bAuuNZ6F0$Vmm#`7aVDAj-{ z*p1lf*K~9v_!exA23~!Faxo!qbvtbBe3RRe)eakvcK|{I-s#?USh>I=$vy*`bKboz zNZwt&^;XkCihcIw1EKx2H*bPQA$YLf-g?bI>W4Bm4Wl7h2Rf%YrRy7bzt@*7egNOT z^sb&=_Lnp69E&Q1((Er~EJ0{#X_}^YLO{*99KW;>eq~IN5ZB<0i&fB}XG}&2F9!jE z525QqrSM!S`3@IZ`3^})@*Pw`2f+6u2yn=A0{%=4{OLIOUrca4<4J_#z?Z~;E8@WA zCNQdZp$YbV)UjeiG&Qn1a^D7n1(=*ONC{*f1*NjF8DDqL~(-B-+ijA9e z(m!y_qU!vtgrv?-t00m6MFrXJCsfdh;A1L?hG+aq1q)HgLkOafVia;Of=f%!GYc6i zFs$*33Ys;}Q$ZGztAZ@#SQTXF+7XO*?o)+UMW2w6RP-?wB#u9+AaOjTf=)f-L4-o3 z1*qG72%&Bxfj5lc(o)=Wl@1s#z^vOD5)!=mDoDI1t6&~7o`m4iQnbHwbyEken1Tmq z+gqphm&wpEBt97&->J#q{nnfe!1EkgdMHiLcoqSOoxt}OgqD_OnH8y5005mQq0&q} zqfTH++czPE`eTPLwRS0BjJrT&0%EL!$O7UK2rezf&Q)N0umVWQhY?`OFK2Wk1Z;%; z4#7C=Dg}#5tdtNd@iIcVY>8~oA;d}`+mi?`Ej`XGqE3L>iE|{xPE_@bC6vSxGR{>& zO!ct{DHR>eCQhT6&U+;e)fRaerSzGCu!QL15U1P<$3Iiviye2X2i4w7zM+D9iU)Xr!)kYmL6+%V<(PRRQ=l}B;EL$ z3ZffVAr$Y%Kn!?p9Jtm52I?CTTpHuE!(z}wfYe4>JA>qiL1+qygk9F7Cu zVFIJ%Ruv?tZAQ@Kv`9Et5?JN23WQZYTLn?dXoOG-vJFRQX-r)B@^q_mpG!zM-);oa z6i$#25R6ZdKgFOQHlg*5KOzKJlO%3d5PHT<63yvWgAlNhkIqCe&PPWmSk!a4gvc(= zKuGb?lMzBT^3gm5<9zh9)2u4*mJs_>$nmeSgr{N&8IP+Vy5KQ{;vGFB20T3uJk10~ znU^CNpT2o9=;KUiJtGI9c*8%=w`%n-3CZI10fI|oee-AxcZmGuS5BO}r=KwygU8yNI;PYpE zzQbqA?$neA@L7%>SjvF^AO2F)(rp=i`eqL37b~nkY?>=SO-)&V&*S)P!{;zQ=X{o$ zauGf&@OcfNukacCd1}gdd~U|)DSY0?$M!{P${2hC_`HHo-!CCZ<8u=}PvWx^pRMzv&Bi>-SgK6GXCXfK;jmV68divKGKg?8^`qPKOk%1G4?Tz>|+Pzl@H0n@JZseG!n2_x;!zm9v^IT>>(LncjDM{M z1<-7+Io~NU2lel1cye;lHs$?jtvBD9VqE*Ll$55!=K!K^x)yxn0UW%h)LjyM;{^%$ zf`_kZ^wMLFQ{SY89?Y)*pmFjZ@r?OBc`AHxz%V@~fU-O&x6jQTnZN zJ)-Gf8J9^#^j*lK;;CJ7OXTxjhZPA;m=7Av0>+E#&ZqyRR8=s4g7;|+*wG6q(KBGa zRC7GvH((T$CMnv8y`o>TzXbo#9ZS8(P(Ap)r51~0fw9d$X;n7`R&`X8qCEaAlb1@Nj`;_RLN%~~v zFGxRV{Cx*Wayfe(C?3p!+o!3Lzg312`5kSFu&5puttTn;et3Mx4L8E*+l>t9ltZmm z_!0aOHZcS^9k0~D2t$DwpY0{UH2{DSz{HY=X)#!LHp-oSf|Q%jazDZ0C*D;SfX!)41ZuddtfQ_nMaOk{UyIGv^TeaTwsxrUr?qW z@RnTAa03m13SX;5H13n#jPtR&vv5APpXX!nxP^s$MxHTM@NF_C%lAI9mnaWi13-Op zA?(D4yN$7uq<+;Hr{kAL9*wH?;z<5+nsxvX&T+Dk!Yj%Js7`TRm4~%hl+`eG6%Xe% z{br!_j}T)5xUuhNd?b8@F|;PwZ2dCcL6{s*4sz8lVCjpKKs#=N4Ro0byOMaW*P~_A9W#0b@MlpVQde-1vx!CLaZGIy>Tu!buP9aQiQI*)b6xUsXb`~^@U!|dHaeOGwKcLvy zj|cLQNq)HvBjK0R_z=H5a%zpkr9}me>j`MA5tz+J*yVA)j4#(Q#gHeD^9r9k|!R$|Z%|)QF_3%pulbh&JSj^;MhI{hr zprXo*{Q^S_O;g9+Y?hnjqKSyxwc+sXvXzO-bjWl1C11;r**F zwc9nQ@hh2J;s{l44`FV(IgK?=tcurJh;<$c8=GSB&gQSarqJoHo?V!4c)`+W$%O-t z-*`g>p?cgXl2R_zvv&GI^hzc_CErD%Av=v@<2f)2aFFYa=P*DgO>0?ZLRRE5=$2)1 zv<4nfnE2YY90r`lO!esdy(L8r<9zyI&iAarq@Mg3eTu!!V8wS;Rue|q+pNoU6_Flw zA~nut#X`?BO!F=oEH`I<1>F%Oc5lLX$@v$k?qJI{do!$9#eu-HK!MY|E9gK#LmbcA z?8|GdR`+-xP1-TXB zD2!jD9G(H%m+wXh7;p}_J&twO4sxTsM2yEPjFrH6{LwJ}USZ5qXS~3Ov%>_8*Y9BO zfM4Y;=6AfN9iK@}ap>86Jd=*7Y{PgSHR3%s4~`lWFwWXh%R1I1;0h>QSfahh*CZj5 zlTkIBjxv4TQvODZX*<8SWMwUEQ3L9A_+mH;)k@@IcffAkE0*XqDjkk-h%acQ`YKsY zWPw??qyZTCrxvss@I$UlR6*>pzO2DYrBBF$IcQH$yC*#LVbi4ZK0K^}pO4~*Q5l#n z<&w4-vB*S=T(3UCre8#7b(xsbQy+yfC%S|ul2^vF(p6MwNj)QG=|ih5|1YW_NnzhY^F`D?$G){ptx`HTJ|ooapKlE--f zs>F%{Oa0&)_G4TecuV=?2ue?*E+5q4iZ<;2*iat93LkHSvvW)^X~>p$SY@5nM}e@R zW;<4?NM)+LN}BehiekS3iYdmuX4D{wk{-RCQK40AyBzs~QXoVnTz7fPtQlQ3_^aUx zw}5Abkb1V(fsuq*I_o$JoT`I?({KdY53dAl#W5m$FX}#6B~&sc@CDB-=Vjn%k=y1A zF{^%8iQMJNCJZ;wGxKrzJdOVTX=Z>6+wJGU4iYe)>8I*FrsO=9Nr+^UVV!% zXe_q)HP1*>;ACkv{1=?*gMm8A@P)Hry^zyI?s*&vxR3=vuDpZ=Y^CMUS3YGJ!oFj?T912z>k4u7aB&mXGY z9=-|JiRNX}qX(M3-#)y)4aJ_n;t&PBtQHHE%|>%SlE8A}^0@xxv6meP4H=FLVQ`yj^99$! z{_p0j#@~tIrJ(159+{+qeM;nd&ej3mJKtl!E(2c)NqYUj!OttVI~c3?aQ<()AjqJ@pr| zn~la@IMb*9w^PLQD%QRrX@s(9hYjM7ID3O})J9T8es;>{*w0+tJ;Jb;|| zdPIFai7!@Yh5Grd`fB4BNC|^OBVb`jvD-|_zC_;3bm~nUb}m#O;1IP*MjtE_Y_qsT zlI$(-pfgK^q5^nu23NX`*UUF!+KRYrp%}^nxGBd}u%wN~ztq!FpU}-fC`hE3^Y~vP z;f8{eRh1x07^VRB5xlb6Blo><3rnvBRH{x`+yk4A-)J~EqRYH(6J%`{o)uihu1={N zh}RS9z@|1D8;)m9HX6I(xEV4|093fqxEIqAH@#NLYzQ1fo7;3hZYAkbBlE_W)I4D= zVGwL3Q}JxrlN5Xf%a*!+;2G>jn4QoVNG#km{d&j-l%Yf8^0n&kacxzb)dMkN`e+dU zj)3Hee29>`}_GCnyL+yvK|ccF;4VP5wcC=wfop9x|2Z1CGk=$O<<(groXX*PQ4e-5my;n(;B4XFi_ zU_4oIq(T9Q! zqpMN^_oH}j+R-aE7QcO76TrAmZo#*JqVsb1?}ujq;d#B+`@mqW4ei0-o(rIz66%*F z*f{o}yv3t)ngGW(U`Ho79_1wBwBdX~(}J8$_u(y?pu#f#vhF1 zM=N0ClbsL~)<#3!LWqcHzl-kWY}(LHWiJ@47ne7i~%Z%Ge7tiIP~WnnhKH}Tl~RAKYN6%ciSr(|4yprk||Wvg?P$jj$yLam>GMNp<`N?jhXsA(QI z`igYnomPp2Ko*aV?}yDP!s!vyC+aKN0>8YGRrF2V9!r0oq~z7V93jCq_ZD&BYM1+ki;*)1S)X{Ul81 z*)=^q(KNMD(>N9t?CnZ&$k;tU&@ZMd$W@q1HH_wRwwD#H_v;^&LmIjbGaCCBSQl&h zO0E+teAT7c&2G`NS}kkclIdyr0b9%Z1p`VEbOr_@*w3fL+h|_|79*b)9M_Rj2SXTJ z2bNI~wL7z1za$f71fJ%YIm%krHx48Zg4c^L=&hkcNv*7wzZzD27Z;Z6oQGZIv)XIR zbibntS?XLKXlDE3U*P8G)kx)xx~l>OVs>qr*B>!t8>^!iqm^VUh*%A~;%T-mdu z6ym2N3w|QtX@#t&1183P3SR=RDl@H%c?g8u_GwKl0Bs1FQ?<#Q!shR6`E70rfQRk( z>rM6is@`xR1kK6#OoB*YCKj!~2tU~0Ikbm%_{7mT%-%(~{pLt{nZhQ7wWeC2q*5n# zA!#3K_=7UnrMcyGK3*h&a-8)AODyKU+DxCN{+w7P|;Y~B74 zFsN7s0Buz7J45CU=M`##j7fi{Gxc_g<;&Iu$qleFr$pD9>zXMaCf@G`ReI0@$e$SO z{aQ7oj}Lgmst{xOYW`y6*7W~qv-a2O{ytUMc~qi4CXdcCFm9XXaNKZZ?WX2@QnJ{G z(}SsfI*0YWd9aWXK@n61=KPL;#BV+8*>LmUjFS8FVG%Df9&!`c$QYUt3bD&P-Y;%ZS{A^cY@8M*ZGY zkkfP<8?#o35SRYV8fQyU%oV-biz5^@RSVu%_5Sz(-%A?>w_FMi3p(CZm{e$H*QXp) z1*$p;dY1v%xxf`$rOk+9PlvXka|Lx2VklxIE>^0;W{{y)k!jSBX~0(m#)sPls^u%< z0vsrjbA=lfjNW?eDNBRn7N=oAK3voX|F_b1S1#*vp5?To*t4F5@f@c*rrMNu&C$Y0 zjoOOpUv16_OcT)1wmKg&{04%CqiGAe83^A(Pi;g-cs|C~=S-wv&)J=%e&zD0XhlzEB_Aa3@^AL zD0ZXK`64*DcniXc)NMSEpHxM(^w^tsP#A?WrJ3)9-ymx9jaK_ksS(^*5pWXe{@^#|QNV z<*XdyFA8TpnV=u_Rl^WFtCPBbeIA(B-zt)kE&I zYUJyAb3$mylkyYLJ*z_eqEmo@_ib+5czyjhM_)@V}y>Ydo zR(Ywg&-XX??j~X3Da!Nsk?g&5=jF_qGiS~@bLI@}wThY)pm0K zVuz_oVw={A(wE@}G`G%vlxocWPA8|G=-7gh^x1^PDR#IVgEv`&H(gucv+0B3fMR}W z*-1>KT6cf29j<-W=rW@VN~YY|;Ikk0A^)+wY_PuvcXS3cQ2BLV>wnoW)-JtF;z6SQ zNnr@b9x7=wzmJ-jhc)pVN^;omQ0%?gqzm7ZK|C;mZUXoy?xYE*=Y*IXi|+%k6Sy%m z;JfklPilPcylUnv_9TaKzRQPFb0uMCD1zD~OA{4iXaAHRc-KFW{Wzt;C&R z^GP|uroy3ONKeUqx?W;bs!D{Ob-@GXhM53gpADw;r;W7Q_P@8xr7)jRGvH|u$Ow{sPEci8*4LS9V$Iwnn zpUk1&9fm%2$Jn?wt~(pQQsgP4=L;gy4QN`Wd^5peHkmu;oH4S7P`H%E<<*9<+P&(9 zugJwc<8v8$U59IdJs%OdI8b@kqM2SjmISKSH~OgLr2yd?p~;aRl!(5` zl?v;bj?g)0m1YZ<09?89S%g@~lQ=S*=54rH0W))!WUs8Tf-(rNF~?>&{aLkU#xP{r zilBERB`br)v%UgRz=%$7zvcYK8lJ1gZ`yA;r%}-gydrE)1~6ziYns=ffrbiyw?n|BbRVwsdb9gM2MsZmG<+P0*58ubs2+Zv7`b=Dl$R|1Y)Y=C>TOe$cTYmi zeB9FvaSGqzp5F00g_O~Fdr|Rbx8ipb+|qpdv90)b$?QbI|CqV(4pncavQ_-!ZmOyr zb!ID-yleQd@+l^C={tu1if?Q+G*wI*+w-f&^~iGK$Kbn&FK;o1GI6~{TN<+GZ#h&p zFm^hktBQ24YEG#^8~Xs$8XIZkHQ&i+l}z>0cMgwh=_QZRNZj+LMxV%!wNVP#w()Nb z)p6hJ*kiZg>c;z<0!V|fhIeXQ>443b6E9>~e5GfVfc<|emkY#r%mlnbguo==`A_uc ziohs~ITz(=fbt<6Pl;$oC%dOpW>+{TRE@BWNYqAlmt{&~_BBree8W4hGPHErzvv1= zh@oiUdLJC-|7a4Gyf*blK1qBQBYmBLpg(84WrpQ7o?e)GjKFh5>G30SDG1kcjMXE+ zDoC5V(m|DQi`+f_+a#M3k|g|a)NvarAg+2*Zh|(?c-uEulb?38d0RF0Nb*A# zoCrzTY+4sVFiPW?BIJ?GASk7Ki`AD>-?$B?H6GRpELusoBpA+kZR)A~eV>NUoH~$? z%-6wRNsLsx^i!8qZZ%8ER??48l#$~U(mv(w6qEjM-ri2X>FI=Er|1IChIh2)cZjG# zqESYt)FYE(h4=@uDSJKc{zo;YSjG_X4W(QIP!9ATqsvYY=KQD{z1h{acd`XBQp46u zBlk5c29|~&Qol^R;N_|3VnEU4ib@#*v8c28L9JWThz8Z+8%nnJsfW=D+R!+%5J)yx z^3E!vvXKu>j&JYs?+tQp_s#t+J?gWbSa*t;5SMmI=AT9bS`R;_gtPXpcZIQFRo;$9 zSMfHB@kcb6UW~aHblm1C#N1#lK3;1v>QF;5dor9Pj`l3PR>s1+-8b)M7G4UzJM~a{ z_!?c9SeHP0H4>d;s~8yU995^WNXVkJBWMLd`2}V$iY0ZUpJC_HAW2&#s);kV%=~i3 zr^o)_+}_HCMMjvyGW~JVSLmqks63p7gETz@^(zU5Zs3t+|+10gM2-X!IWq>RQ(OG^Noat z`z6O9@H)PMz3Kq-U}jWZ_f8G7?~FaZxda;G>9S!%smH8Gb*3bb;zsncQ-6>Ts7a9d z=Kk1}NXz$q=;P)uLLUe{T7-?KQh(O!0@-$;rzeu4 zMj;?0eHeQc1`LJAivOZyHr*lW85;KWMMOO-uJM&#yo5hjEH+oP^pJ{qVt-dRRL^-| zLXIQDi#X84e67zLIeroto{SJVovqzT#cc1|eq{FnZ0_pn@w$5yCw`Mr)>1M($>Zkp z=V~Lt-{1s^KkdgvTn6g=6YphY^l)sEGel6aUWZ-eyuuIkdhV2+EGj2Y@1mmWrThs# z=*aswRWK$EXV)Rlo&K>Dusa|}m9TQPc<~T8yA+^KUwg~&#&bkoW+^0h$1Qn{10@Ci zr~69E=t*aaC$=$Yl66@1CO)DSuv>0BkeLL2^e}H$zgYv6dz0p)d$(17K`BXNUsSp( z@ZSD9-D3GRFO7QPW?!239`AnOW#XOM4~6VHu-#H{Pj?Gw=jn`>rwk+SphhDAm3G)? z4VAQ&KWKuJVAMQTs`2NJB*8w?d>y|dA@k9oQsr^Lm>4*_oLn6O1c|9s$D_~9QjxdL zRE6Wc33j$%US8`p10fm4ox8!LjbFamaNS-A6LxmE0?u}=A`X72c(oe*MBl;M_-(w6 zeTJ&I@OV7DQHg^a&aMYr_23gRI~+T!l)ZUk=s$y<$7tQ?rNq)NL#Kd@8Fl_b3jBp) zBzCuf8j0OI_zhZ5x{+EREwRn}LnT}JCAXn6#P)ig$CgayZ)?eH=Tmcu)?$T$U2J|G zeuQVXA$G1;ch@u7o6E~C;wDVO-xwbai7^S*6L|+kIylkKZsT3Yh?ZzOkgEZ}2}7)fW?F{aMI zfI1cmIUh3LojsyC@3#S_tF;@I-kJ2xX3{(U987%qa}@jI4JFRS51RFwlw$g5?>%#q zr@DLilR5E^z4sL;jcIw>V(f-wNzM04(iiE9jp&S0u7ha#v6*y6olWy;c9ez?b&6fo z>oj9)d^f%=)&F1V_$AKW8JI)!Z^~68hoS^RnJ?P zoGir-K0#LC9M$lkfZ|p!{WcB(Sc0Lk0ukI6#mzLVjHI-o1|y%m>geyF7D0=%$>!b= zttcJ(vx-05!@{cK>7S4xLGzYL+h0bco+~i$6=u$!@66fsY;|U#=BzVUA9d&IL+)Jt zMQW~ou~}*ew8xZ~TCeanD!v3eqFiPtKLuH^b%{g3mVotk<#m|w8bn92$t+vb@kp9f z)SG7Gjnnp`SrJX)XD>S>I%xN1SZQy0F>GC5Ez5r3bmryhomy|!i>P`}UnUj7=wujw zgij*U)gsb1tyj*Lis*A%ZeyNEvkh99*q*qUq@R~-45@wW>D3G`q`A)iBd1y%ry&N~ zIKPN?+FXB*W65SLGibWweUO2*%^@WBcO2_j+6coH*KmvpV$f%k^%0k1%x}<|1x+M< zEmt6G$S91`wt9Ni^;ilIA;Iucabz4h_{+6`;>3&9b2#xm=GO_TE!J%$kb0R!9@LlU zs>%L|{s~w=upgTHwt~@R_ppykVZ0T#G^Q`>;*iA8*&GV8R}jMw#y;hD%CiGj$UzAm zw9wwEiPgg0Zc)aJ$7$o^Z9Q$=t~QXp%MD!SW|1cZCfAF&O%nhG zBY2NTqS2S!^C4SMh)fqOqkG&OUH+hu(lE-3{+5Tz=(GIAz!TlbFIR5pCmgqQyD)vd z4LIy`|HAe{+s%Y+?&2dYb3{j_atv}E1jP%-kTq;|+P;k3Nt0X4LhATQ%#G)R-{(a{ zsbYL~)|}Jc_yc3kHgRVmRL@4&Dmpq6ID8UYD2HRtnlU80!`sAmPXETkA+b3-AZ8gE z$Isa;-VraH{K{@l!xVl+2%OWd<5;y;b4U3SkNB4O=p*+dYiYGK9$NvL^;pj(xC6;Q zdq+RteI3z`et~m1nKX2bfA&ri2tnA7czEB%2ZyLFIN4CU#b#TrvjtL{vzAtOZP`r- zp5~54v{M`LPrA@;Gf0SJPA4_5)rX*SU`%Pn_Njo;>%3UVSUDY6t9|(Er&KG~>BLz< z*}@N5J3~0|S|8O`{nNKFt^onJ`G%WZo2I|fk+JtfLUZTyJ#2Y4Y8(5qP$YNu@XD;l znowjMS5r;I%(>3((?|=4Xz~oiblAi;n`hR5kyYWZ6e}LpT*;@=;rH+%l2rdNl_#VqUlObxzpS?4?p~Sg3!(I#{Nts|-$VGF^9XC#?YsO^+ zPbS8QJ09U2Zr1+gZ#2mknwf&MH8c8jYMRV5(`24IP3Ae%#QcOAPiLB3!NEuS$cNl% zGA}(%OetrYn5x6^dFFs%yzp3+_}3rzE|D}P_6FNuwb8fmE+(Glbe&v>CW#|W24(Uk zpDv=b+9l*vGjE2qJSQb)hS}>sck%Od6q=}KXJ}mT`nGX_vW{TUi$G{!qzRVd?+%&Ha-oDqd53ZOGTeA;iKFfSp1cJ}`!ozY8z>@~A83?5O?fANEE> z=l)UmPfnoXf4O%F2X%lxQKqVYOyy#u9=N|xD|^HJ2l3;c6Puk#(I^Xe@~j>gN^IqoF)#M@=4pX* zK=ft2IqZ`S0Czhn>+Mkj0D{F-NqgexDI1Gf&$thXQQorjnMeNb4!^Z#`+GHU&tQN1 z4xE$Q+U?^4Ic+>#*Oq@+R#sWp(%Ag@^S5{BJjd$ZzRPQMkRxX!8Ln>|p3}jfKv`En zrz%t_{7fkQ*iU90?ERta^H!7#;SW6fPdp^r*kLi6>pW< z>HtTHkNlN@cEulO`^P01^ey-D$|CKg;z@sLF#h0t`Dx5~UzbbDNuF_hwACHQmU5UB z2Oy!ZVEkb*HDgvu^ILOl7WdcG`Bq;ur|E>nGmR_+9l?F=@dhAgaD~M{MOQOjNq3B@CzdCpKOBIzeJQcK&1Un`G1g+-vKW` zXlr2GW0pq2HlOI6soDC)2XvI$%FbwOAIL)l^Y+CO_eCi=_+s)njYlrj7`6q%$f;4 zYphlFFmnvGXSlx@r}>0kF#FGlDt%G3Uz9$s{7o78)5GlnyuX;GQQ(!WvhU_xUhfhA zV&IKcbH0q`_6uH-^1p%j(6>8j@bUp~tC*pgDZB1H7}%Dw6=vU*(bj%po1y$8GxDcl zD*(2FG;9+O3br9?>t&>YzIfO#Y+KorvLDFEpN6dn*n;l*#vSiy&R>2^XREEMjJEa* zTR`~_&B*V-7LG)_P#=QvbJsj;)U+uqg%?=OozsnaB%V`nP|$87qKh40e88BzTlufd z$e)IGm4UYK=d4YJ2nFlnhduDnpB@ZS%hc>U2ptDF;2*+$?8h?lJ7D5UaOc&mvuN!P z4ia(;A7v3T;Nm*K{b1wotVRu%2*1((8=hldo)~Tt9H(c%v0q|1Tlx1O7WD0>12-)5 z&Qb@z&%^o+zz&f42LThI*3fM&nYAF2GWBWCpNtph#QsLc+29Fc<2{`Ag+0q+rZ#q1k1n%ggU z)0F?bjQnZvUUR?;z`qR&?Mn{|yaF}10STcmHuekNX13Gp`!e$PjD58OUjsb3*APGa zj3#8_v3weLb+3oUXan~ehK9=<^O6% z{vIIZc>qSgmI6{#(DY=A3Q7+O*mu}Jvww}KaDW*7gYy33#nP`H6x^@92pm5}a5+HaE>`~UW#o6@c2!8j=8Ex!i zz`cthV6btGN}QTeqBm4{RU8~tgVaVBQo#QlPVdK1AW&^!lf%9{qeO40xGDYMpqi#O z&dg|IU$_c5P*ti#Rz?X2swY@58M$>_OPXUJ^A2GRmaqE%Vn{b~JkGX|EdDq0;!q^W z`>{%l&nS^Xo}fDDAw5TJe9EH#zoB}A(Fdx}W$j;?QKC0g2R)>}RU21jw6U)t{e}b8 zwJLF1MhSOF`}Z2spb0LOHuQbLi8)a1JcGdTzwz})!&M8P-AIW$GfFs+1+BO&{Mt3x z+9HiaE~=eqj$vKd%eB|+|AejA6rFUd7$Wg^8`8T!lT}IV zrfos%N7bR&t#)lJvb8pL{bu$NYGXHTtc~5;73PLXzwhLmmf}S6v9-&(Q!Y#F%)h{o z;$2nSUsb3uPWlJgDPqeyfH>*y7jfM&`$ag6EchC;1$#kM_5wo6XeT9zO1@f*xqixF z(92fIS1;4K#NoXCj5qfC*?6{BlGckue!;z+IUA^UIC9GW90*S2&~T0N=VjzilP&OP zH;zNIwRz&?WK-C5!7p9n7+FN_A)R{eWz})yjvVy~Py76zyPwW;KW(w?X5}4A!|Z(x z_y@aNPZ_Qfd#EH==#3Bi?y}v<8tZN6nBhdWzGOuAo&03UB1Von&wcoB+_llU+BWVt zCpVYOCOsJcGZdZ`F8eGTKew0~=AaAkDJX0&^fZ2_)a<)sdHFdGj=jY_ZRgE zzoC4OtR*_K(>2wL^U-BpyzZPj;AxuAO4REcFNoS%iHkLcQ-=dc4f%P*vL00=Px&Xw zV`D;%smrOSjVwDTirpeBQS>y%7pX~(Q`8R77Rq_n8a}^oLe=p3zUH$W>Z#clynfT< zFeDQU=3HEE8XWI7h(nLD=CCJPVMZhk!3f;fJK5lQ0H%&7N2feFPz<870U4K)a^vI? zjEyZRej*F>*}uFEz{;Fb7n!91B25+DJM&~Re|hr!=d+O8FOf?QkUW2<{6EOZ?{bMg zsEiGtPiQOSqxB5OIpw6~VMknn+p6)-a!5sPt|BE!ZTn-p*)D&yWU*d#aLxSwwxo++ z^gdjTZo<8L7Ee!;lJ(Sl{-o*2cs+BVbpXSmp@gIcRIT+jpF?)Sc|goG!JKa#1?{mx z{#-D!J{$>`PD))jmeU1-Uvj)`3ZI2pUud48wsB= ziMrC&jH&2du)J5L7itBNJ5Nyi=1yhbqp~kQcqgu7Ft#F<9N^$}uOTJsRI2Aer()~%&HW|rw$A-Rva$mS3Y(d&F`Zno6WDoMYJLQ z1y`@I03DD4=)Ts~4-gDscZaFOi-6h}6{)VZmP{5zEMLdZ;&;xft-SU)Dc~Q$zBZ)7 z>a_I->D8%PDRJ-V4`|??ESb!!BK4TvMsJaXABDcwh{nCydgYn@dG81ANLM)LC}qd- z#;5N|Tq08qPuYnvfV@(<=Cm(4f<`!RtOH{9$}9z-ZW!=1FIhxvg^w#&+)^(4e!d#_ z1ELtzaI)Pg6ppZ*c`q{gIAd{v6@Iq(i6rIiOPbUpM}%N-1pk-tPI$Tt)ZQ|0Z`AH% zFmSj8;;8bE&dBc!1(41{sulHDJ3ua(*#qPkcbzyvjlDkifPs6bll*_m$nOBBHFA-$ z5r9vd`A8rNEbVhp0p20|9b1eKw6@f-)KHyNbP6H|CfyXJ&?-T7!sYZF%ze` z2LLUYG`3&h zYL&krBfkS&&}uC)ixCT0{d90PXO&i~^a56W$;FpmhErzAeEjg2PS1z;cVkoymThH0 z^L;Pnq*d=j7+NNmD&pU4!=IawPR+}Cvtsg2weI{af8+i`i5<7#wkd6zG% zhu+pfx6Yk&0Au9+8qy5QM?fVG%_!j@qPNevuk{-FX2lENW9^p$GwM0TvEy)));abi zU4kpNvq2ew_REI01>+pqQUrAz(Jb%Zlp}V2((*pSQ|$Z!Tm$nbp5~v=S(0>*zo5dm zs2%vn%szk~J6=m;mH(KG{HcL=zv))sfb1~yR$Zb5w^O88i@(${q=rOahup7lgjIQ|FSj$;dVV^p6--EhU8O@;n zgC}QDH}iB*gSs4n%$|xkb%3~-rTn8Z^6zI*xlN}2fJgL8NN~GRpX{YbF9!&HyYkP^ z$nQdr@41<&jD`I`15@owPnB!bPH{#%`{a?Lu#=U48?sH`emHQ2HEhagoJd2+bGCY}z83;d0}JbN*X63KW$e*HD z?~C^s6rG8rAB@MVL9%}ZOLUf9_ajzg@8P6N*<@8ZltVfvZC!@=@X(bHCpHj;* z0~UY$=b>wK{*UXp2bv3$e0#VsiNgqmQ&XjD@j-pKcVWTNt1t_h?5};whX@GcoQlAq zIwJa7{vhT%09*;(^f*8aPBmgc9Mij%J|HgItA1)QS~UAOh|SK_AJn__UNG(rU-xjp zh$eGLI$Aj(`)(gK+hx*d-{2N8bpCQ`1 zbo?QYDLO85vZv|z3Nk~-Sy*SG+ez(h@Rj4L9g{05FvpBA9KKC0W z8uQB+w1rha4)XuocmRWyTL1c~#F~r}eb=EcZj^icF{+)CQSCmKl@@2V7T&B9)fpuY z7Le0bZ8uB%|7620&R`a9`x_-5&nR)QfZVTY>ocm|7e>tPS-kLjDsg&733n!8^foIi z7e1Jk76YGFST^6JxygDN`98mMR!PIVYT^}FruNy)c}VxXF8BL1o?`v9*Djg8dyQc@ zC!txT&#<-G3F=B5$1ck&0gDrTg&R;r+!L>k6=|&+OP_CZ&J;#DRM!3aO7~s~v$@9~ zVzF?pP-k(8i%M)(!jMj4LuWPzGl}cjUV^=He!a9ZbB+)ZXu58%;o>IFsj+d@^j%D( zzJ;fd!%x6dfv$6@@zxTp`@!pyGC_xOcGaTcn!|39tEhh1>R;_n+Q-wkTC4RR##A3K zyq!+KR6~T*lcZ($rw=B)DMwh_JzRjII8dqMk5wCId4{fGr-efxW!V2^za)|uX23u; zX8=$423VkP8L$kvvKqY3!7uCM9uT{Oku;QP*sl9P&?+)=D2FrGp`7;s^%y`6My{M> zPvJI$6u1V?<~>;$(argA*OXlND-mroq{*~ zI)qSoso-KzGz40>z@yPVi|xge7@zoE<_p&k3ZOcjavUef>vbT|>WeSA z)PD&yGtMIJ=SNSl>ShrhH^RQ}Iy-qKn>#`|FT@k#4$eiq*fz;wPOIr<=&Q9YubPX8 zoZ!;dIup;H=$*6q>I-y5cV11{{B^|A_M~gDZA++GrjdIG&%aE-*58aBX9d3ss_O}jm{C-b#eH{&Zb zogGs4>n76m_R-9gRL}~Y9A-MTI`iNx!w^~x4cK4jMKeF>x1LEwR&%L3#hdl(#Iqna zy%WfRTLjt~%7E#GKO2^>3s~(P7@HNs;!r1q1&m(NE7sZ7+*e>`ORxA4u0O|YNz0b^ z&);?pjLjwWq(pBnAQj8vWxRx9*Xt10`G_QP;;`*sKc$;8+o;(eugkVaB$7!p+2vPI zd3}Me^%ApAJZiRqMc@xo%hR(NzFzY&Xx+p3V0Q-sBr+ z(h0F+qCwmr5e~kru`u!{^&L;bJpV4wOh4_vm$L%BHAw2Ww#fcFmu9{h6dcll5o17_iW=!hR zHa-OO_h3e- z{g1#f11X{}#`gaxDpZNp%TQl-I@b@D0FQ~=bqH2d_RJ#u}dXK?Rh|wIb5;++qQh>A?UL%?K!mGg3 zoK<2*sSOdAKh?t^;7^BLkmgTWq~LE>Bo3t2C}@3*yBV-ynuwiUKzFTs`4af7O{ zJ`Gfs`C7-JxdmB+rmH$Q(tLhp4I5{EpDd~7wpFQIEk_-^zp2_lR5 zE^pIIo?h||AFA+Oz9#*>$S|ntbS}P`OhJ=gM^u(s<5=>CAyy3CB;vzoAv!J>xKii! zX`R@yX9Rcn=K09QtGuY%ee)!WIJdF}qiy3jMBVg4?=6|e!B3C@oXaaUXB?FRGZ^Pi%p2%(BWi7kG zYcR8ST^K~OM)b=9KC573kG#2;eXG~BYx-h)I5`i1krme*!0c~!qMyYJSN)D6Rz{K3 zylcRKDDi7`DB8(wePzA{-*Q5bJESdtF44R=mga(_Rm~4wVyO8dnMU&`$SP#!le2Wn zhbU;WJycR>K0jJATfbl2Op!16*Ij)8UG_dK@h4um>3&Mwn^7XwTtc;ppUZlC#2 zxDPTh!l!X}E7wX5@41JH#B+o*S>Pv|-zQ51OE~_QB^0QMH|2;034ctZVL!AS7F6xL zpZfssh6R-?K^~cZW8EaB)!|a447$nqXtGggoVLY>P#}r<(2A_&WoHz-o-fM1NAm0Vl%&Ck+Iq z<7Sg0^riUUC1m5(<$ve%)|>wwmcjpwmCx|MJ@z$QQJy3C7#Du)FAfXLVr0`|W~V)A zyhiUg9$F5@kNqsZJNXo2!?SKCiOwkb925D|Bt&-~+BgCz(Bp`c*FO-i*`6pcI$f?` zu6J1t{ryYTGRMnTx;~7n3~@VL*G`UuRl@)CznWsihPM)MQDZ>d;uLrNKH8eYU7uBv z!WxSZ=kk7{6QlTM|Bd7xE~fsZ*y}dhck#Cu|8lM^388RDcOT|kaDuUzUQ%r=O3_`} zP4#EWM#03c#eJMnzAfwAq& zGtiD-)90D>2f$654OpNlsv@H^ilo>{14a|9HgHj~P*2ElunZXQ%4Rm-aE)~)r16o} zToq5%Bo;3<^Bvx4=07~u;h_$H5YN@*cY7<0R4V(p8Disx-<wgN7 z-Yb7^cxsbM)MS)MA)(dCLE@=*TmnQ$ZvfWAQ-jv3SY19YEz$QU=^kFL=q)Cs>(+2= z`sV60iGW?YDJFU%ZbFsg{s2k+1S*~~!m(wzrmkRog^X7Af4G>G5jt11 zkwXB4(0YgFqbp zabeh6Acym12r^kuOy-a8I4U27@RlFwR}ObP!*j^gqLeiTV~j%Vub$dJY3lLoR;Z52 zgnL2Y7?s=fOmu~*zG*}Xs&BeINf{EHo}A+JWQ-=c(~}`Wq|^!t;f(G|5M^05=QwiCI10`U9EE+jS1Hmvi==(?V33^R&e{ulK#Hd zXDR0b>1%$H7i&e@yb_H6N@f#l!}bpYanDiz+lI7Pl(AlxmGb+HWuSKdUlBnJdKlxuXv#sC8;UE6L4?gEE7EFMCM0W}MDp+KkB;i*_9Mj2Girk5OPsHLU7@O1&ESOZmUhdk0XZghVasz6Cq^3qDq8KKte-cuP~-7G46@ zf;6f5t)2eu-L54s70|BBSn}HaR+nSRE8FQB^0t4N^Kx$+-hSfQE&m1VYwblE?YSak z2x>a|Xv%)KgfGz*F92M!@!ZtnWpHEs%7!T`x&gZ9nR-lurSo%H)K2A%1uY+?;cGn3 zKcAyUX=CR+ZiHsDFL6k9GY6I)q?=+!&vCM*+PC86*xfh4!O~cWna>L(7CQWVg;=~o zrOlODta7d!ZgTEM-U3h|KiDGOaFg%aIeg0nzv)*hL6k{PKz^HiknRObFG~O=!y-cO@e`DK$LphgiLaPOH^R(+_ ztp|qUiQTuq+k4BZTDJ#8-zUIt8y$u({CW}-6Yan8i0CqjzTEw)Vdau_;;lU3I_ZMU=slG>JkHJ-_6+_i{7nbRJ~XH9#kRvp+X z)9q0`W&C)3d_UCz3q|9GlF3idv|<0{+DIr4Shwc+lby*nYpuVkGvKS;VK)a5?ml2+ z#d>DhHDosXC++OswOj{%XfLVS`m{EZB*V_$>xJ3C30d4vK?Oh(iUmGp8|K3x2S}oO za%a2|jL_uZpF!#>;&FKf{Uhvw;XMxJ)5?g$& zf1*gx`jGWCWbIy|Wvges@`WQgwd_1`!=eGkzBfYVXeUzO`o^ub+?aes&s3dZ%S;Ef=cGE#v^BVECOj}`M;f*4rLHaC|CsvJ-kC_eSj z4@?|R#;n1o4!%250MDj5;17Sm9rAFIpk(9Sxidb{#?*Kc*o3Ut*4bonM8X?0P(7oX z8c@S@&72zgnW0WdS35-2v4=I6D<2j!X!uqzzU*x@9Es6G+ftzy8%u+gQSpt2<0_-F zyg2t1pA4T7THZtiwYGKpG~T9MFuq)sP@M5A4{m>sAa=gy_k^|holDJ+r405_ctVI& z{^oqrrUD07%%{(#a&$8r_D(y=yJ+w99nsG;7KCywr2>S(vr zCS4qj{y^8G%Y|F!+SR)Hk;&OG=!s!M6O}LjA=$X#Z~|Mh;y0;{d3O_LXj|u;`H;F% zH)C_|;gJh~7dt->IzO|`kAHHn_~UHLE1qWI?%Tl-0l@Enc8^X6^-o3@LH%mT6`7s= z9cxZ808-?MYT(p5!(O=F&Rhx>u zFI2dej277;tU0ZM(c0-f8}g3sDDcg*(T4$W_$)-Pd#u*mx}p@wS(|(l>%#dMVlXMx z@nd&;tn>Hqs5U3ifd%?{G9st$@=>p^B0<1^k6(H=F>xk| z@3G91_KAKT^A-Z44tk_Krw*M15f~g|svdQ*IeC6(#c;PTr@*tJy=xZ@T z!CkkgriId}oI_lR^VPyn94{A>?zZsHNv7$@ymSHg!y5D9r^cOwh2!>LYYX(gHq9qB z5-MBQOCLd>&j}@0j+h_#N>chfewA>!`%b0HO&9C%T)pTu{x}Yvu-IxI3tvQFF*W&@ zWK6bd56Rc|9J)s1MY)JasztAC+qiMd{@xZ@qA!mY#av9 z-bev1-L+rjtF?nQrdb>N(H)2Qnjba~1G(^v2h&hD)>j6{+Dsw)H*SgPS4MXan5G8r zxMg?JYW>5b^IS&tlz4K&`_uq_g4UgC3Wgrt-M{fHyYV8aEjE(Xz@_W>-u-XBMw6bV znrL!h)4*slZYvi|?93eJuUVg~qs!b*Z)rF*H7BYyBknL%rx{@%ejyAeB9hBrD)KQ+)2hkG!F5FN z`k?h`@Vd|D^Oei&Cvl9%g_QD3H>ix8-4aSQxv-((i3U!F{qaZQiiHKI^<&{+%?F(g zP{xL&ee*gY{4xzbH#2I?tR0Et86Z;$TUd2=|J7!2k9R&Z8at*Hx}ogO1e+CBxc{W+ z&Riyo2B!Nl0k|`}k;^2xg2o%anN2Vw**lFcE8@HT=b99GH6CI}Yc{E|(%5uQ&k*KD zmrHo^Fp?-dkjqfU(g;tW>FB-35>E1SeN3Fqkmjde6c@q>TKgLQ3N!r5t1Ls?98VfV zyh+kzp%jC3F)V{wb027~H6kx;tqogS;6si10qc%Mlnq#OWSB@?8Qn3^*K!E>Cq;{s zHAkOuHOi{VF{;AS0X3(0;9}*^*<>EucjX)Zqnzii+cf(k_GQX8IZj9V;6&d~eb7B= zr(RT48wugwH>AWYhW_YIuWw!)?1baT{;5%yiL{TjTCMkQ?}z8)y5yUIs*V{yf{$B6 zbSY-;O5U5k)AxPWMSb6A`g^^f*;Z54G1KR-+BDP4brQ3V@IAINaTu>N4)HzKrVA!6 zSXslW;Aw7axF=AxuF-SO%7%qtXJD;g9C)NCV zrrZ|YUwhfJrWS=^?S7jf7X;zI0}q$yoj$1Z2RNvt^Wg4eZ)PjClZF;g?g*Xm44 zuWy02xuZM#`&xdh3e+!C9ntNwYO2=x7QDfO-)i@lt<(zTdc_WwSL{kv-lkGCTd)qi zdVf31aOVzR^g*Qq&0yHggz#XtoF=YK1Wb)0&i&QcuVIR6^KfJ88QxKdZa00`)WQy+ zTT2%MnvYE3oA;2Zr?sVsOC-$50sVy0MLo#jY0%L>2e@j&W*ocCTQPy4ic zjog;FtJ&(8^_cr_C%@0}?|AM{mVwuYX^+?fP#1Nh*H8^T>j`(A!rtliu)ngXisM)Fa_&>SufC{$1 zixd;CK=NMG@Rc5W)c9iClGbId(^c*tvY|rl;fiu)JA6^l8lP`ppYdH)lLL+JW zI=&70t9s|}(f!3Y4Zn2!{{__+>t#DcC#{ji_}e7As&>r!p-|Cle`m~OIncIMkG4G7 zqho>Ww$TZwRioAp$zr>%M_)swBKay@O+Q-z*((4v}a`c*J8vUup4 zAdLpWe=rurQ#=Ubf)z=LUKnb@ZqNNR4(!pJCxfw_zGh=qf_~*Qi=ua3v9EQZ1_ZLF z4y=$Xs(J0L|C}%M_BW$&#I?e2v3=-yz47m4=#BrxxtZS$*4^=0*Xz64!LF|QVR6%4 z;uO_R53CC(+xMGXfEw&Pe=fMQ`UDPzHe4u;aP-r!le>Eff1;+c z?8XnC$Pu9A{hRWZr_x_^YL}9fIKoNvG`2a3n&v9;oBu%NXoL;Z67{LJJ!l>~yp4A| zIgQE9T3}Fv6kBdrFP9YCIN)icJ)9DZTmTYAO@`kocn=DJw59CgKK*`L8f5C7GswhFvhpUdo5n0w;beZ#9+I zFfS!A7<*&y{eX~FqxqO`pc``SBEgo&t=Cm6u|{;oxc=G&@ErkIlge&@JQCf?$|k3W zoRAPguHa1NabVp?23`3X?WnG)0;&aqPo!Nfz8=(+trG>CQz+Opnx_RdU>&NQM=T0)IbEPCw_!B5)aC1zx_>*`%eD&0kQ_zamXsSS=Mpm& zgUjUyW2Of864OSaO^9^?hjWqKCrtdyCWj&-V$qx!r6_Q4F``Kzzj*5E5HcXNCLK zhvS}pEGeTg8l28QVlTXMEvC+zcd<9Vz|;JiL}G;H_1=+6OfGT~Pot%`c&3?mv2AYU z@!D9;hY8e9@A6doW8S4E`-j1J?NOn!F0(zJUT?79WpTy@`(3uN-*x{I0AX*9Qw61a zOJgXfuEH8IsikfDSul{MqZKUc6w6yjy$+P4O$&*{$(DC$I`K3&vB2^k=_Wqz&F2Xi z69NX$OwJ4U3nn|}2L`M4j}s@*_jq>J>YAfW&5wIG@}~TtqLat@H6Jh-7jp~Bu76w)FWR=9b8XXR ze(XDStvOUox|GzHCO?YHM7-u*N*+N;v)QkTZ>$pa)t)U&=%#Pz`4=S{ zMR9XhE#~K{iC6Bm{h{+GX`-E7>=JFW+3SZyk#}ARMh1sbmaf}0pBhA}R-m6qp+cm< zm7V<>Pq(}^3yf{PoMAeTM~vrZB~G)vC-o#Bmr6d;@(xHPKkm)qQTF(=Wd5C=CeQuS zr^NV+r0W#kQqQ>8HC|wOgT{0+Xv;Bx&q7j9bwQ@XFp^bu7@*2{2B-@{5zWTDc8J5_ z*L~?DaRM{vUW;;aV+Ol_g60HSy-**tzb%}yf6J5wS{;{Wxz?EQ6eRoI%8p=3TCx3R zr3RqYx!sll@t3CuqQ{@gm0yvl;6bm1Ft8#-fp)~#w-FDn!~L;vcB)pb_SVc&d!A}; zNj8j<(J>f~pE&m`{gA`8{+O#WpNAmq?`prunuWnQ*-(VoO+{xo6j6g#qu*e-mvuyLY_gM_ICDb!!?*7!4OG!_c8rMB17UZhmQ78U;2#fFPiw?{ z#cDWj8x{xDDbIXAm&nc5^;G6TlVEQF4p+iUe%iE5TO%*|ZRK6rrBoYoZ#BG+wy(_K29{M`7s z4}n(rDbo4PV#nUaR<~55vJPY43&wu0WsnU>YfH@7y((`mo&j;A-^3fMwZ7wLx6ZyB zAy=Z}pebTm(uih>p&GdEDB#5#lX?2;MX||+wV0SoP7FL)0at3}A>6a65L`lCC z;?0qM;m+V!eSwZdKlZfulJ`K347SBiQ0m_3>8&qgF|lH$imv&p)FaC(=UGucmz%`Z zPGSX#B5F~3lT_~{>5F}glQhXm(ib~dNwMW7$q1mJLlzC$hKh{;h*7YihRTzD zt+#0a9Tl6&Y{Da_?GNVa=b^8%stu4~VpNoipV^v2l4oKai|(m)I~emEW#4tW#`sry zA8q9wmpBrqgIv3b)SxvcmmMBqJVd!QjZa9e?#!(^9eaV9wT_T{LrUFD6Eyz7oEUd+ zBK6ByFrEEChuK&kSueB21B*y@Ru}Pi7P~?Dm4j!TV(#ZQ>lL1tmJodoUsn)6s$pnG4lY`&1WuXz`6)XJpykpR+i zW19!|K;PiO58L$wtY!yZ>*WCdW9YxyZ`_e<FM(L2$~W}D|oe^uM8 z!Lh(k&~uy$V6q%;a0lmAf2=C?!LJkR?VN#M>8ZiAwHSCv9BT_PfwB_>y&;ho04?|yaMY$VkTT~otgdHmL^;i`Z57D{AUgn*(6 zQ-fn=B<~*H95fVk$=@J^y)DuYB%O_q65m7=0n0Pr8V#|mY&t$rwR+YN(gmRiDcL?M z=9y1|U>p(4!0Vv{#?yulm^6x_}2K z=7Jk?K>i74517y;YzN9QlSuF*nO?}lwUOZGHC4GYt81+{M#m?_v%+Ps_pygW3Xbt7 z@w!?GUOji`cz()A*Tlxg5fMN4$2_e`&rc~o<7G3^+B|`(mzw^lCTPbrd$nu7xC-S8 zQpVh#zZXNC6jUgU>+-oS!EE=|aiu~LN6xU}f2S^NT^9^nKZ4UVo4E?(u9oG2K2WXn2uw2r7vNCOaMRA5R2z?Qemhu(gsSkM@s9;Bn|CxqDvC3%p|~IUVZpv;IRp z6|vS5nfR*OeXVm5jl(D?ZM=(blq!ga7zX=TpM}cWVJf+`@tZw{PlT-1Dql>x-pk$f zXOvZd0AKo2P0J=hdk@2E-7NWPn6x zG?2kte`S(3)>^M$7$4i}36(upTlQKo`d&`3{XH2NYU6o#7T@bS;&Zi3tdIPl zAQ|uJ1Om@`42&N3^7s-Nu}#^w?fct*^zA?U{Sx3g;Ej zk7*)8WEGEt`g{uQh58jK)W3LPe1ePm7kZ(-W@ysE{%kVBCC7mOz!9HATn_H@JsSYs zvl`=xd`LVS!m;72$p-!d!vFrhGX?>T!T!E84grnBKEL}~Zh~nU|!XIg*i_Sny47b>v7ZaGz&PB=0`9c9_sdtC+$(Jr~kEIn)`f zV6S;1@2py@i+K{#JPDVrVV;Dd-8msH*@pjL5HE-YnIh1EnIdcHe10g&Y0dF@Op*M+ z-`PW+z-G3LU4wZe^EPGHMA>hS|0sv1%YJk0P!3I+-Z`8Wd@a|zLse0WcSEHj@sxEi zhwiE^dp13X1`4F~NbRGV#+PwZlt-cAg2M8GC7Mgo|7QDI&o}tK%f)xY>#Pz)9&+CI zvX=_uFtYnV#$gWD{|!zJ*0&g}OZa1o^v3!o=|<5O+*lzmeKn0IC{xh@#}H~YYYFW`(mXpFxBLLDC++4Lv%5%R3| z#5>4a)t5Q`h+#_xeS7ywGI1Pd6j>yTP-LC`Gszh-M~=asKgh(7qB?vOuj0VR1msv2 zM;1&@;z|xEH;R&kfKqdKqVk7%zE&-ff%r8!esdQIL)f$bdw#`eZWk#Y9hp#C(o0?n zV?sh?8eDm_V>e2PJ|BjxQ58c!^T$s07$MZYyBPT7=_tlGbPYakXaj+Dv0U~TBz%pw z3U&r#b?MibXQxx}N(#FEdd;_yk&;8#w0y>X&jya|JBLlvwQwXCp|*faEL4-h2GZ>2 zDmu5Ig83i|-$pj&WQ&_FBR*#N( zJ_=Y1RaD4W`H8uoW0VWTh@=8?75<})LteDtZ=Uzw20vH z`zpBA$Y{uL$ZhQCBcd%b)k$n)w3d{VZ z`{zCH9E06vTf7hb40R!BZ8qcO3v7$-xq8+KNBXwyDEAfF@)m zLj?GqaaFC=8H|tdAR!`I+x}ztr1bN}3j}tpwV^gXA~%H0>_=wi>RROBzWfh~MbdJI zC+UfjXU2!PDj>J4XAy<{2|QTPU-(e zfy$Gcu$;Pt+b=a$Y{xe|HTFkJ{$hQ=gJ{XFe#oTd~!6D4P zR~ycDzDIK8MC|B;nyrD#Q|C7wo|LX%&U#-Q@}hUmK2Dcx}@rd zxlQ-RiAx2ny#3T0-yCDB85>wns2oFfaTA#umtbqxLlSB4kj#^?DO|( zeB(b=n&!^holde?ChsDXa=Qi7xOHJ(%uIi4vkbE+vK#DLRv_nfkaZc%VuO8*EYO?v zbO)BG=zp)CHB4XP3r(BHN)j{0kF$klO;**xR7XSNzGfHP%)l zKZYV78(W4{I^8U$1=J|;7sfsJ3LgmIG03spZ+)wBMoZSr<6`{vM~BbNnmMp0c6AGE zb!%dvKZgBcrC1T0y}_#WOK0hk7D9Wmp54C1AIqB~EB!r0n~Pe3C_W6q$c{zf zs?J%Lj)@e^u{ySIZrL>bjRxq}R~i0E*35Hg=I*Q+Lu0(uRJ}5z*nx-YJae{h4&Fm& zqFDHbMAe(BS7!bz6p?krA1j!HSem#$6j@bc0ii%y*l1+f8#qNew2jQO29UWX=9wcE z1S5bGEmA$7?zax@Ew4lv%TrST-xG{^N`h6kZ=obsaPxbsYx@>9V>c5t%B1AYWrKjV z7K9DhzPYNa;p?I_{22%d|#dSQIXuWKWoJJ`i)INHh?S?QUpvB)tNl9h}=M-U^) z>#ht!k9xXCU;S2xzibseh%K>j$>d}k2#I-?fr}M>D<>3LOEm~6v6`wEXN{F?Gl>!8 zET)hZv^*ucYo(<2QB4VF97mQkN+WBX?F0zRmCg(@-i zQfaqTfT3*ywH{uTpScDY`ZuKCm+FhtD-l#Hn~7{EvbF>)W|I>wN4xJ2Dk&#FH9CC ziD7F8>#5($yVGCg^MyBncYiE==jVKE>Q1$%>T)_D8m-MzLju-^0jrZxX|v7CcGyY1 zR^TPP;<2zOcn@Bm&1g6U&B-<4$eK{qbF;3)w0O7G&iq)z{I~)OqNTB~sma;Ka|t73 zF;y031>k`7ji>W`dq3Hy)kI?+OU6QA3s~KWzXoESg=ob3V3OJs_oXuOp7^ne=S#E# zaT!<|_B#TH&N>Xkr)4Xx`v^nixW1m%LLFHnqr=b38WZ=Nr$s;C*YYlD$(pP&5zk2$ zjsRBP+<>*I3j8*Dtngeok2BBUj?v-svV8GB3XllF2=?l-Z{bWD3PwD4Ykv8wo@toD zBzw`q6>LV=kJ~h!_db-PJu-o-PiI?!-04~zwWJ+t+7r$k~18><}(1v zgjbboaVWAM+%#?gFK{ewtBgEj`kTVxg^|3Il52>U9Io0xzo|MkU&Ze*Pc49*e8;+k zjuu!m>);&DXwUTP``*}V7j1Gurh_?<_Kybkpt@W<&BSpk-KE3}>KjG}8g4=#O)ViQ zUg*qdv9Ek*x4q2s)j-b1Pz2Gi0~P!Z&F8%H;QiugH6k;(fL0Km?+||wQCr!8s*QeM zxFePgzsc=h#f(qUT(|rapkU#JBO~mb#A@gf(rduVyREw(;lN=IM1fgVoXH#zYQ!Ik z&8o~QiIl1!&XGex*0wO7GmOuSuh*7!)w0fq$~FpLQ0!pFyy|)kz(XG{6-A8f!W+t5?#x| zlNu&b7h3|v*ScMkGFEUq>w8Pvtbdt|n!;Nt%cg*D;V=3LkcZ5ieu|2j&eJ%rMv!=( zm-8`;L7WT>)6@0`WCX)|7F4P%mE{Unh*cd3SZ`TbaM2m@yd3}b*I<>+)FBP5S9xUn zc^s^r%@;Jh1@5~4S1mw7Aai1#Ga*VW)hk@U*$q+r)$;r`9xmFGLS}X@39KqCIoW=h z3?CtL@)-f`ulhmOj5AHAtQVD_iG2d5QY-JL{;FDH2Ad@(7XE3^ilcE6ezpOcnzr>D zcf-}zsZn)ODjnO7Go-d45i2=0UYrm!5rdp10(I0mzA)`mrfIljMu0yYP;m3RI72n>*$ZM`&sn9}>Niu{@mGspT~duNV1O&W9iNNM(tVGq zB%z_uE|PBptK*^eVLUNr)iP^ge08HD2qC#f2jqC8^d%e)3haNL&bpX&BrVy`56#Lt zv@uCTQ+6#Y0^ zJM_8GvaD?L-<;Z(=Ni_a3g!BmC1kkOi|XC#r#Js=e#zj5M)&o)V7r}fay5L{O}f;{ zak2Y)eou~SH|Z=V$2Z*96Vp{3=cXLtWMGR&UGlXI2U(^+IctO1pQ1bRr__AbJ^(K< zVgU{&OX4H?S3Kn_!Pwwn4A0}(MGVtLMHq{U_2H&>>5`suryQaz_&lgY8=en#_LKqh z2UAbt6Scsa9QS_uQFhi!hgL0b(U^W&%Q>k;OeIcuXEA;WZ`Dd)Sm)=AZm#HQ=nBG7NB@`$XV$O*`55#E)pFY;7-?ws-FZQ1`sy^fcOD4gmF3r)CHF zo|sbPqwVhR>tmb-lP8XJ+Y--_i3TwQJBB;?U$H(KYG(f?XZ9D_6HZBUp<0+%v@6-& zsi|YFwY6p}`fOxTwXbEaNm^%b!lNa+BiV3DbjO~C6N8bB24y?F1mcK(lf$$BJPsfK zaiJXCG2(+B2Hjk0A0PCf@NPXvrio7tmf^`v(syI0&ce*cVwg4pO(VLvBCz z1Y&5z@)!B79onSY@?f+v-wveP0t1QfN4I`B^n)0AqIk(3V!sD7uy*HcQ$w#5Nshas zsHXYVn+N)%Z+#w!T~U-c+Rt5E4F&woZ8*&Dd*ZEuQwDU7ED z8st#z`^hu$8rDZMWd9FmZvr1xbvFJ_G8r;t;RYoTL}Zkx(MXL(YvO>;g&Db1CW;j+ zwNkNQq^=ZZSQI63lA6hNDsQzvZEMxmE_U%%yGVd436Uhoj#XpP8nxCt4%UF0ghl56 zea@Xp0^0Ze{r-G3bMLulKhJsg^PEAqnq${Z!E-20P32?~9X>dWoE2Ng@b?ywv|=#-QIKIp32s$Y_(7QlNGs{F60(I&^srl~2N#A%Lb&T$FcMDb`(lW|`#s zl}Ef{xp5w*frcj_%ZYD-K6-KKG7z${TtNn2RQ0lm+G1hG4OqRyG4ngz3S z`nyBU-E7y;IqIHB=SH3K#&Y8q-B`%~P zLZa;}t1Uwa!2f6YkJvb_;!r-Q69Vw~L=H>#-T^1^B^K zctWaX*9z!hpsRz`%ja-TSLGJ#1W1%(2Ipq($x;}3c*n0XRKI7_?_Ko!kVFlHc-3@E z$1P>`0PhuB&y)_r_7k8f>GUk=^uOq8g$z)-h7W3>Tl(J_u%yREY+eul@3KDQEmhNP zc1s^?c6ES{q>sDk%!o=fq!7!kpjL0)osafU}D<*iwh=52(|f2thq6=wr~ z6zL<3kxyj7HT)N>Kj^^DvXpH%#4Zs#2$qS>b7c?Z`LX!Fm;VPM-N}d2^1s$T+R)lz zu=rC10rkm4xBO9s__gGvSN;q{cJzLcEA6+h+25AhZw(>!?Kb&Y48r+UhJ|1c`RK?#=X$AJpvQw!9F~}p+@$oma9P3>qSo*a<`r;r} zUim*(Igt9Y`l#3ArkdpMr3Nk2$JA>2n0#7XK1%0PE#5d+;s8QV7OS+y;FP({OPY>l z3~aJzq6d4Hud=_52yH(*ihCDm_zAQHG&;`e^hlq&Q^nsW1qyiw?=h#s zq=F~EFz&yLRgn=w_+PgE1wBjNEMBa+)(=^6@LKdx&+-{GG?RvGjN7=^(EQzMz=SeQ z6;Gj|^qB9ccAZPUFw|nJm1U2)9DkRdWiLp|$Ja5wGw6^#{x6Qt8ky;R*Cf^Z=MZP% zN?x^km0ZiPp0PhXqCUv9ZP=E~y?9f&5TT|yi-VD$T)ZiQ_PVXTvQ^d@x{)gWA%&P7 zcdB?XPsEjKWibkvoj0gPP$4NyQJKup@&AVC3G%2Ml)U$`ER@HB$Zim+?5llkS>gQV zoIDUulN_MzYs(I6wHWUax3X(F{2Oh{?rX~l7urcVDkVqISzE#txzc`chQ}CU?^hq) zg3@{g+sP?i&cC)Rd`26p0l{!ed=q6C|1$b69y9okX6;%uS_tir1wa=CFyp@ zQeBeTE2#sK-v#R}X(3oYAU|4EI%#9tbwKME$Il$B2|A$_$1V_-;mjJT1u~+E>|u+f z7KpT*!9~g}(CncFiYDALr)uJ|h88H-ULbS^gH8Nju8%)&KxU$shGl_ZMxZk+5ED1X zZbrukZ*=5UwLF5#j~TC8A8hu^?e$?TWLXB6$zGqfVe1o0wNjK3bt9!J?~C;&&lxw8n#6Ciq{GRYOW{g4m5}- zORAl6PF0SueEt;tElvq+8PdF9>dDg!#Ic7N50kvEeg{7onF z67p^h#=hmL;XoXborJyc$%*UvguD>yCiHkVgw3ZQL3s~V5W~PcK-36z1*;-X6Yw@1 zXYCt52oZ0wz?H2Ds4YLh!;b}_|3hG7uPq+!p~OFg*sT!4a|TCA(*k%iFeFJcUMeZ=|b;4KYB0~8CBzbKXP)qc(O!qDku%6up2EbEvq}27tT&Tr+4I(sv&ma z_+ucwi_kVN4OB8EMaSrLhi$rID~9lx-gI|PM82zIwyYAM8~+cPwYT;$k@Daf$@DEK z*%?ix!jq$^qv2D4VQCC49irxQrA*;FXmqyBHJk;TlANe6eCu6;H@&F4qdlKD>27mI zNki+(5z(F_u^DoaS>+z~z+<8{8AwHPqO(do(u_+DVVJI%-B87D$a-gRH+Y(}Iqic9 zF%&B(71IG2GgMk6f1owHlP3eMt^B8C2g}*qCGbB6KfHFm*#>l&hQ01FrOA9OS+>tW zYEyt<3v7U4&^;z6{B{rz6Cl_l5d0V(rA%#=z%IR_yKi*pB@SVpR$ITihAE59C^F17 ztpac{RPIf}WE*ng%3G`>mxjlhbzLMix||;(rMj)|h4LL$qU(Ug@TzCH!xIdVlABbv z!Z#CS8)?16wwKe0@~KbNkR2HlRe7>IW|U+lbG4%EPqfup$J-H5=izoG2t`HInomRP z-X5GsFw=fvgTXDBS3LM#S(70+0-*$6pCqF1Io5YkC8XiwTA;#L#hLUl3N&nq(I=#r zp9?FWcuhu%q1Y2$FNXoM?isH=pD#8LkJ2GqU%fH?Jvo{WhIy}#T-w?kBiiF;BfG#G z$(K}q>5EV7Fqg{Y&=-8IjU2;C+yJfL;mbyoJBlXp;!K4@M(m>G%sxkbcwC)#3he%c zhxRdJllgw(6TEi3+qB=~bj^l?` zMpP|19LVxN{xNo;I0!7rk@KLrv`hkU%@3OIUEdBgC+>&#RqjCs&rAI5ri@-$W_;#9 zhR-;Xy69upqh=FSTxPjdKSW_;9Ry=k0s6;x;+odvE&tQxzOmr{d2-+V4x*n7SWV2a z4Gxa@X^{TF87i1Z07aPZA-WbI)5M=UN_Y z3~4|b%{W0q5CiC(a>xc7($J6-K|5?gcpI7xSoL84ry+0a@)v{V5i|!WyX zS>q)V6Ct~etW(aq%x#n>L(WeU68Jzj-!i<(B@0Dv5LKBcN0~_cc$0)jiOyxS(f^70 zR{7sK!;L%F4(mM@5(ULmlwPGCul?mv<$8u8Q#;wk_zjmT;lQmavCmct2d0k4sO03*7tnCsD?2 z_M4vt`+NQ62a0ID&E$6X4#V5F{0?C(zln1&X8=@lHaI%(65!Pu8fZlT>=rqK zV<|T(DR9o|b}|%!Zpq#|Q*Tle0u(A(+@fYg9MBiZQj+JRgdAv56J9tt;rVb2)>oN8 z8?z=ZBun%P0r9h7I2K@;FTnCG!5p$W zk<(CCKp=1zbvYIfvO z@Rq_#Up1@CR~9veuyVw`OxivO}~}6faSJsqJvDGOSB%I{uw0>AE*&8ysg%GG*7$D zcLL(w6I#5PPDEfFVwbt<_6KShMLRQ&QRtMpXFn9996W;U5w@5G(w5S%$) zN0Xri??LyTIXT<$wdm9yM|ct1|DL|-xGQ{Ha12*P!cn>&knd(ekMd)vaBdf6<%OA@G=2`;)X7VKKt#{J=@1wli!15giVAq&Y z(y0a$gqcSA9fajY)VdfBYy~!;p(8@dpQFS&p>PmRogiY?CUGse#Ci<)joyV$bwSVF zIkMc9`15UptH`pJP8Jywr@=kuRVDqK1ePLs#IVR|u{mJ{m8{J8vrUfg^ViI08M#0Y_SX(f>Bc1uFSvFCm{fvxfYF z>0SOHzsO+%b4&8nwEUtZlP?G{n{@GtiR?|DLUg(={%^JO4NC1}aw3!P8x1sPA>c>; zE<_ZJB^>Nqg5?BNA(tl;C~5{_Rq+o)a9RQ9fMgJ;>Bo=N&OKaH*E>)A_va{J*9>rcys z==KUydy2>D@lZtpxJu28Rr_}v&kF&3mYssVjYt5xMB44Lo?EG4tFfLBQvAD8Q+#1b zYW;P6}~pTH+JEH9ui|0t|ig>p_@%pVix{`v{YNH@HKwTw(^c?Z1dI2PPCTr zJys&T!78}E%2aYXbhD=XrI52zUzbNq9D%UjV6IrgO3P2~s7IiI0((~|Sa{OO6(|)D`xMp`VETw3(K@i5hw!-w4;ATnN$fXp zyleNa!Tn|kLNB!*&mG*sYpB-V7l!PM&ER-yn2Qr$wd3wWD>9ffiFCZ%me}Urtp*LL=)mw)G|(elFdJKulxp^dKvov#@E z?_#>T!}lPK5TfG4afWx7pO9^Va*@zQh%PJDckI$~K3F5N7U@Pm$8Hro?xWL=`C%1APL z=WdBP(`xG()ul3Nonvd=#av@y1%_2p&9mu9UM@J}=S-Irgr4Y66oiE_}Xvc~yx+M^On zj{8`z%2zNQxGAkuy5XPUi}|rVBZ-`-Qp$!>CfX@u`BA=+NZ2Y1YM{1cbK3j!?B;BI zKdEs{+G|pIetwud;e7E46$=bJ{W1QZOaA}*e>TdJ+wP@l|IcOV*J1vj3(`qx|Iaz; z*J1vj3|+aXru{$9PrnZNe|pj>Y5z~$GKc&>2S>#sDR&R0V?;9^J(Lx>+dBPHg?@zo z;XFze@bfJYW%6YdoHeHFZBp3;Ke!VT!TCtn zPTs4F15_VzS$kk&MItM*$|z!0(v0=;C4$mPTppda8`O{r-)@~G?cYQc{>V416Q1I5 zcNb*KMknu4P`sOjOpm1r!`x*S{zS?ZznLX?bt@dkSU88HJ{f8&X=3J{dC^nmoOur!0fP64K^h#KzcT`S>sZ|#bKnWF_vx~yaJ%SUx ztqhrkmsDptME=axQ@b(Bc<4?sl-hhngvlUn+li|1gA^Y8wz6K(seHw+EOH@}d|p~& z-e%3?+u%zMm4wWRuU1Jzd&2~nREmskdW!HibmXuza?xO|uOq%9wr!cb(>y3LX&C;> z^%IIRgGvXYI+ogHxBR8TEpwy1yN2dQx%Z(u;(U&|Um(wAwbw}xJLLfMj$wF+X}v!2 z8#*lT8ZWHhBDfz^V`$$_~3QFLJR@)0etERJ@r|73An1m{K% z;_P=>Yr7n)^S9+F`MS({9e@^h3PP#69()-kE=uCoBDz`zeco4QtsVA#dFJ~V^*!y= z{D$@5usl}{<`Epv2Rw|uq{%epaLBj_TPsx9G=N^@+lcPVX`L_Z!~M zrJ6OHA{noSK+HY(%YoLy@-uCb*)U!{X&8}4OYWm3Z=cS4- zWb=9ay4r+4_ryB+kpfC*h9TM9M&O#y3+x+awO;|XV+HT=$&{Wtt_2q zn1>DX69Wm8n7-3Vihh8(DK!`W@K3cDLsjnRJ6Yk2X#4-r(>0RX=dW_(sX-Fgdm+3h zM_E4^tRKAvA5NeZw#EeO=X{V3tQ^c>-3)4C4ATGE0vTdZvtd*i%3`HIN^2`GwX-Ij zrhc-5L}Ixp{4L52B&qOeJh)|t28*n--%O?I7nJnlaLMd|!!R3(b%!Q|kBSxk=uJGi zWUkO4;KO>gSj^*pC@rD@hr@c|Fj(r|&493&hZ}oxL|ctJE>YAErtovW?Or;*u#`(F zU`xZu-YpL?m)7k#`Y8j35f4ZRZ6$FUVqcz}DqeR)miJepRWRVfeBd-#LhJsId1s?s zBy2_%?J5>g#5k4_FG5u5IF!nZ_)MY*phMsy5O9c+Ne0~Lmj1>X?V2-hpnfV-ZwzrU z>YT6<3)H2G$J39>E#^R~IF~1Bz(^H;dRT!ZO0!5o^l&Pi%gQyea)ud~!3z(c1#=aO zKUylYgMp?D0}a^yJ=V?qKYel3;A9Cm6e`Xt?dgS3}Ia z8uL5?>Ico0RW;@PHRd}Z^FzA)RIS$d5%V2f@I8b0k6ksf8T6^cdyy8cm*sZ08u9Bo z3(OeWkz(`FWhVhEX47`AM<1_tdsQ%k5ckDQd{!Y^_Uj;cdOG%L+J<&!GtKxTPh@_Yu9Et!AjRi2Xgn zytT6+=|qbl^JbX;@Lsg^YRr^G6~r3(wmAcZ>Jlwf!j)a| z`{=O|pSGOBs`mhh^_p}PkXd9FUnH%?o20i$M$T7b#ivV(w{5A8Y-@M8?mOq!9nv~lk}tAf#~rK#{D`8gWCLGL5LK=@ku zaYsfGjHWbIya&TF-3u5CJ_gADOwsjEpt?28&1gTBO9a|a!+A~{bf^@}=Fpo1jH0Hf zDS%Jn{i?Lq@Lj<{fdZ~HBE}WB%yF{0Az=P1X#T@6r(Li5H`SX8bD(Rg_h>k;F64FB zB^sG7xh6f;!POr1{oO5nR5D>pwCyvArQwHypHB4#W)tBGYGf7xUy@I;`|L$!XvEI( z%H;&PQl&4M$9)eGmpr@K+}Xeh1Hvzfxm$z%vrv*<8RWh$t-L;E;TzMEjIU| zEGCKt8PX99*Uy7|J?6C2UxkPL2*y{BZiDRau)1EMHYJio%IHj~V6NWJ*frA*q0aTk ze`c}8{NA^9GpTDc_vzk!kuE{>Rib0|iKT&=2i2$TH0mJ5ppN4B_VMr$t!qLWSK1g3 zoNTwg$LZd57tXGBMQL`~Y39yU@ptKlKmNGgfr+<}uA7JH1hJ`(L|XrsPW{Hh35B2DFcl>by%m&^JTQ2Y0LWNdD3YhyW1Ljt~_qFzM;T! zt2JVk{oZ$%{o9Pbn(wN`#5`WM5&vN66g9!N(4ssUW%JVIZ0Q>t)%*4mw%w35b11ur z4{|+_)G`h#hI%w#q_OPO?o3HovZ0b`n6jISPP_RmFca)ISK<_2&$IRS3v z!n!l*aJ+bv%vZedr~Fv=FgY}JE$>g>!TX&u#`r`v&+%!C$s+eXd~pELX;>R!dk~BY z@8rq4&2CH+L&z3AK07;A{2kJd5s5N%9oX~3Ae0=#({WTEmm}*G=l{-_+Lu z#Z`sOK4EmRJy`ONUh!iT&*HJ@J-TGEb+s&fb#5d(`7cSh-Y~UP@k6S7w^bz{W4S3* z1ci%L&3D>gc%Q4@Z{|JZ{UqWFd9CnYL&$M#t1^-2_^lXh69X%4dy+q4Nv=5{(_UD? zkF^#GMA95PDIiI|Bxwy4FRa3I=3fYnxOUzu=Nt?F!u6td2> z^C|e1*+h0wyqeG#q}Fp_fU%$N#g!?#+MN|S!&uN^)7lOrUQma^Bag20h(yKo-uSTs z)-zx_qn$<3!=nFvKmN7J0Dl+dfD}Ii$WLLX5(R%PE8t!hmeQ{HQl8G6H?ZzsU~= zF0oPGv-jZ;`AgGVZXbxd&X>Z@Eg-@!M67LyBgfB?3L}U-hg zmru0n*r@g)oUe);j55H9z&GU$W+WJ0^*Q@4hqECo?c2Y{4GdCE&H6Q7K!ci^xypKF z)iM!lKvZ_o$dok4^9dbe>yHx@2N_OTHxHHVOBM!W*L_ZSe`^t+C|!7j##6;d_kj_j z>Cua8#^9pJZ7ph?Ha=Pa(w1jJAFzP;M5yJ%rGht4FBa zrq=+|BK!#!doT&5ap}vPTeNP*G0~h=Vl3$GYrB^jdmbkoTZf`tM_~IeU@H6CeBnat zC+gd2j6V5pWl9dRjE~*r?rSTuFZmIxeDs~8C?#UEO7KJB8;5zLUD;tm_)v@H!dgFK=PXC77sm0TnZ`{m#)dtqsrkJ1tdGA*gwFTcASmH^?10$ z@vYBiIr?fc5V67vox!KxVBTaih z*BUpIQ+r-8CL4|Ayj6HPn*=Kr+%TM-UI*o~UTjUp1u3l&nu4851?0jB=&7jIAd~PE zhvNk?J(bM{>hf^>Be9=8M7y$hw5K=MdIF+>_q3_A+&J{^v`j$IZ_Xs*&^1LEtgEiZ zST)m~!R2abKcN=RL);s=UJ6`G0bxX@%1e!UIf@a67auSDaz9*lKTx=!+h{xNvd&fw zbc;$)^mrlX$^S^^avk?6e}SEAp5ZRNcj~QHuM0; zof97IH#>-@%7?u`CE8eQ9ad%%tR#;#9Nn5C!)45q*^VyrRXf#sdMM*#0tU7&bFR#I z=7JH?H>%hV`17VOsu7T`FsHb?#baT=Qbz3wRPL?2*b|7a%u8Iy^oOEv-$v%i~&!!ID ze7)J(0Ba)mc<3z-9}~xQ2~ZXe4|GKjUbT8<_-2kvX$?C_iYD?oH?bvrNipvTnJWJkA=1tGHk|(G070??kIZ9jqLBUdj3@3AVFJSm;?2UO; z7!ZHc=jmM1nVDMnpMg`@g)Ph-RNxist9622wZ?}9nMK>3Ls{#*)3nAql84F`x2m$R z^_1Oe{qP=zn(+;6XE%R*Lb8Uf@LQDyt&GZY$50kGSw`a(%)NaoOKv(#NM+F)i|rod zlC5ZXFC1ERd~Pt|}f&0c_>o_^d4J0qFjkO7RZ#c&A;0 znn;U7KEZS_JFZhcW!EdQt(INi+vh8ZMy~Gnl{o5H#!!6b=fvGvUW9_dnopo9L9oxN zF&Dr82?fnD2iRlhuUGQgE2N;=`9$gv_wZeOdYDg17eZ2URjM(Jd5V{q#F8BC< zL;eD&8@oaFHMm1ma)f>%4z;lBW!9~)GspEW$+vU`>GSl0H^tMNaODIl40g78Tn~;< zy6qNf*9>KDV5aQCVn1-xP!sQf{}v(-q>3l}Q{dC}=S~)an&ygr1j-FyV1Tebc#W?l z&o-iX>^g8k0N$#kLIXXSA)hc+$T2#euv56gR4UIN4mgU7uQ*7E!XC55kEly7x@=If z6490Vq|JExHQLH>T-&8M_jjt^xE>Zm4EfhcdokA|eC%}HPU1*R4V|tz- zW*6~Xoqk@NDn8>qD7vege75BO-;2Zqk}4iSIx{e7g3Q4FcUjJ9eK zT-&9oa8Bdi)gPq!;z6YtRVpYuzP^m^M`us@)UKy?zd1Q*TIy_IxF8r^p}LtZ!TnkTfq_{0O~i_r1b zagwUW+z)&$^qUqxbCn5Rwt#Gx>-c|;wQdX2MFEayayeBj@PznDoMRovjUmlI?t5Rp z?e$m9dqjL318dU9twfE#9%L+z*Z3Csu)RlmkECqkCusg#I6{N9=l>qMfhTpD#7&wk zS8&7&Lu3qc$djYrV#KYvrFCwNvtdi?ksL=-yy(et7Fk#VqAr~!rSa%Iie_oSF5J>2 zM3LgSC1}$_ZBmN!kagj6EdNlqFZ>VP*75as(rtBo6{~=F^LGZCJ-T^7LjC&W55cAJ ziM{&SKm%9FwWEGB%y}*P1_#qlgfE%9MZ|P$`Ym5X0p2rp?(!3Y+KVqu*IvBey{0S& znLtZAb@OH7cp4&hj_KmlLwV2gsqIh>EzCD@X3-k1q$8;p)AZRy|U z^lz9J$=^6xTBboFs%sA{W%0F!+v!|%K-U_oc#RIs&>CK4??nd!w#_3tFjH%os6Jg4 z4o3&(Y7MWcw`;@Wq60T*4Tb7$f!6Q`iY3ayph0s)Fxo+Q`Bq`t@n!>|pP_A};q~w5 zFFoPM;I=swa+Gh{J&@>gqWfWBa}xV_GR%o11+M@FKc7W)uac(sZ?0f?Y~nlgLnXs!2DG)84-g&(tc=07 z#%#9|$bqaigBVYJ*GY$yn%;cb0B?r8H3i5#uQgFcA4yvwX?h(SF}mF+A5bK7peuF? z^UG&HGw(=TrzZPG?S3bPq60VGvnM+6U9CZm+(ZX%x9N3s;0~?fVU@BtydXNTRBOl; zd^8Zz8aAus6e*OCJuf7uIyJ|V#m>s()GlPl6vY!4Pjh781$FWrW6sfckH4Avo37D4= zzll7B?8=qyAkk16j$3NYQ?)K}2F%vR)XLnAY8~@&@$c8Ym>aG*j0m?-V)ey;Cf^L@ zkn}QhgG*^@C(&~W)7KiFB*(E@gKWwE{UNh8KD{D3P<>Cfv!lsLG{EHFsDw3dlp0{& z{N?S~S(!&8(3sR3#*s=LBkQ~sT0@>RlG>W$V~4XMf$7~5DbnkX+!UE1P{LP7vO3*0 zsj5EpBuV$2QQtXFN-o%G9RWdsaG#a^l?%6K_9xv^RPwR)V8BNFRv0e!h4vzs4WShc zw4{oEyO-kNc0^7=_7yM=D{#f)v5ZGQyg82^aE`G4AJkD__>{_4!hZTAW2v_D zDWT&xsCurh1E$C*9X|=L2KoND`mPWE&Y@PWO_sF~!!x^j>r6yECJR83`SDlJDZNf> zyq2M<^*c{i%e^#LKyC`BoBK9rg^T2+TrC_E5=xFHH9M@bc#;;Xs*qnDaiZGA{_=%X zTK)l93L+JQni49-i2N!nws4L%m4bdItRpGNnvk%@nFkSas;*Y_ zyJk)F=Ut5Na}jCc!Z?W6%B(-hq&`~eVP8umS!xRAfg zBaaJ64|>#A;z5H+M#-V2gVV1}aPz5Mkk@k4L6(bCkfMvC>i6o|_G zO_3w(M;vCW>|>9i^5dkZ3WuvVZ?nFu3`a0Z{^rwge^oq_qW7}RkIi}sS<`Efcn}VZ zv7a4*VNm!|Hn-3R3Eilh^nmvSs=`#fV55-e_$p(UO1nd4I3&IDC%%)ZW`b^`Ng!e_ zl3q;QH<>u1)+IF&2hhf=TKv?)YvL@speL-;i^<{h_*))6jlWZfcvp9%LTi*GK-Az) z97VL1suG{s4_S$Q^1!U;Cf>D^vJ-FcAYED^f3A~1bLCGcV1Aexjl9oEJWEFFpU{Rh zTlnhURLWNsc_i@|@|)uCeZqgTCp^}T8_`?7m~X8N3q8D%7+I-yPTN~QUZRA{{qk*| z`nDp1Q)PR$_-A;Uv8gqcsoBqJb~oiysM*w>olX*8mR zF*;O`DAjK~5n557*T^~WUD!0n*pqnOQW2@I6VY};@&rlqSq78l7n#8yn;>ckF{Yvz zOZ*ww=UjY*rRT7E;v@O}Qrmj^{3IyzU5S4E1RaqmTycX~j0d^v%KF_4AOaBB3~K-n zhWPbk@m2lsjZ})!87e3N-N+!2cJUROJ>*j%j&65V+5SRuqLJ&cB4=37QjbnXsp$!7 z@>hY|!<%Fked$$9{+UoJd$lXtqpc$e!szW;u30N7w&67Tmk>YiI{Uf-I&0r@6274F zqv$15eA+{s<%TEc$6WWWJ-%6-pH33HQMnEgU9cUgD-`!-8P4t2I_8KHI1@y2J94KO z@oTd1u$j<2J*!E9A5m!O(=hnUBeX}{_1_p9s_s{pa%c~=8P2~OPC{`V4n~iFFSiEc zW2Oc*|KF@q2xC^$Qu0mHnksIICa{0+Z(8F#jHt;{9Hf5(ihDTE|l zxN1Vnq{ifxdcW0n$YpM7vnDxrIj+jSWzVC2=O!}bk>Mu7E~yOJgBhH+?CB$e-!UVn z&-KwJr26ofy6TFEX2h?|vNd$pR`B`Yk_}BXDo_L1_`>m~g|92KBKrt|Go$k`UB!>4 z1x%=&VRBzWH%4&X-2Z~;R0Wgbc{K-MWWs+9WD4AzXtm-=5G%9(LX{lhY?28BS%u14PNZJxpw{qLsQ$1{CjP*C-RkTqkrA?CQk~|!*&VqR>u;oTv%SCjq%C#t z^whPjXu2W`Z>VhRK{1a|VNw6y^ryv5ZhzAXr_`R9EtR)WRQ}Zk8%KoGwffDP+4=^V zNn-;$oqw8xn-Kg>lVJbNwoEJBxsop3yL!SN+Kj&26aDZFDvC_POx@lRDKW~%5v#gJ{XLj@3AU9vtDw_>K`Wo8L zif!cFda1Qha(`RM-E%6p1S-NOaENJ1?gBM0c7#vzz7-jZmj~XRQ;Y>$1sys&YddqY zDv+&7%j`QHw3y>q?GelA*DnUD@d|^E31ze1eL9t5Q?eFGZiM7c9K$()6??g|t}f5A zPLup9#yqQ)rxeXOK6a7qWi(r~oG7=$qAOp8dJ@LXj^}LCoajF0 z-}TEM4H6u(eF?!al$~4%&V{$rA8>7vbp=ik5F9@!(cDacB6^(6P@5t}Z7PPSjhu13 zKqxzl=XZ86vlUYmVc%(80saDgDe7{%P?uJafSu7MEr@<;s^W22zl9$bf-+wSO2Myr ziN3VLrY55AR*G9FX&rSiu&oab4$P*c13;Z_CKTQuPD!^~*WD%q>w}Um+seR7tXp<5 zu=Yfo)C5~$iJ0sMY*O14xfHMw+8RF@Pl!WdcHHZ7TcPlacoT@Qz6?vQ8rTR&@*c+T zM}_3=(H?D!4jftK^=`iVqJ}Nuf()14-vr%A)7HUSAgql3bpQdH>dCTx4+i)$61;gh z2~KA(!^1*k^IMd}l_tS||D__qGCgvfWgf9UICr2&58fEQnZJSXLjKl@J_6oD#iy|= z*}=3Y<=YM6QvT`^{cU)TGTs)c=2k%7k{AD{uX!j6~g^l1VD1 zI}erC@qoE#6^?=HiR6b6)1cCCeGLb3Mc3B9J925BHBx;#oScdgJu5s`lJl0PUGY8wM?~K{ zn)HZ)9W=(b{G})IQWVa!FEZY$a(u3m#_;`L1xpLpdFZG0oce+U2>KT3M6H|JYZ<$d z`H}>0SLUMlqAvEjJ4+UFaSQu>@0#>}5A>+mSNaRBDV$U4CNZt%tGbx0x~)CzbhBo@ zy=CA)SyN(1`$YLrp%%7E`C5<~S%I#1M)ZX`dX^m-jUtHektd=(??t%0Pfi%y&Ub9xz>10tDC#Q}*;&7DVr$&lV&g)uZFq9fk` zthxNfdd^?awl!H06EzyvI|@@qa-m1R=23NfQSv0QJ@cBW%Q}$xM)fs4f+zp^1l(QO zpY7|F>R*xxv+d}_Z%5cFCPB__?&93$C_=$RHx&`cV+r>Za5PhV3Qd2jTWqyye*Ku( zZ!Cb~F-_OEA4pGrL#dC=#RcXxo00=4_Mu)PAmYjAv|d{*>Iqy}Bk6?ABrws1(P=;Y z6=IdvAm)Pl)DdP~YY?g3h)?;ir!i;!bqt&m9iD@w0&x>noi&lNh%Cr}W5|d@;7=rD zOAar!u?v6njM(X4O%>nV!H|iG@B!_dO%3ldWQhW`-Fg#121^$Yow|~Z;jy|f(80ZL zw;m^h#HNW3OkDZhi(uqovPI<*nISD&nH!&sjmLiWDvGqr2O5#_vd3<-rOSQ)*<_u4? zhqb?peCs|He!uwhmjr6?MQ9Dq!7O2d(x08t`iHInT8m4{kBzctm z1Nv;;a)=<+$B-A9D^Q~A9hdBolcXG|(PI_cbh|1;e^!+i+2IPAE$f$fyP#nI>~h%) zwgu0c{Ucdbk>OfxtlIm)0lF771WBGDHm0v%r zBpc#Bv~2M06~a#|??s!RMuT|1I`Z2;y+jo?|1Jv9m#q(;Q^$Q%1k;QzAWpA3ous0G zsI{-$BKI)0$#Dw>V`ky6e;_wDrNV`ruOU5J_z(#Sx)Wz2*`)Ds#swHX3F=?hd7u*` zR{sQ(9lfE*(W#%zbT~Te#pWPS9ra;;W^~l|%MS%+Qz->RxL;SuAL}X(`m8a`sHF6! z(utSQ;JO0&e1ZBL+tA932mqrXx3|J_8L_BJGEMohvhs0Xv`b`D_87Ly_BB+VBdOx< zjgW}K^>OephkXxF*rpQ^w4zxmEQGcDWvM`jN4U}~e1NQIYE#8KD9KhLRiZ)k!f&RE z|0rn^3xXKRxmFjrMh>lW-bU4nAUb$N#P*4?z9+D#>K5PYBI{JReQ}3U8xj|Ht>G*t zN)bHOVYQ)yRpR{avKCQ4uEY{ph_`F)x4HIP$bRG4qkOx>ep_t6RoHJU?6=d@n_0)S z*$JcVgeN2+?z(;iQOmv!)GsnkYUBPjjTh+C|ZDXXLmky7;J-qc8(*5j_b?w2_d zd`!U+Rx1V9P-q2%v)ANyyLe_5#X7UodSfJYd8a*w6bQE#cU>q_lXoCIis&;DB2MnK zz6D>MUe$BdL~XSeQnyU2+5%v2dtR9)v+#Y>24EtV?u~Gcp;#^TPEwh1!L0=^(jXGj zLr1B@MuF+_Rt(|G`s)s*BAX98`#rLxijx$Gx#ChUWXc#8HRNgNSsF&pGYfA~Z2%*` zdqGj(Q_wrn&NjrRRPhf;OT&o0lXEST4+zTXF4*vS++9~j{F`j!#EY=i(r4720Nvyt zi|%o+5x=`gkIx#RYiry6v3Uid*u0$DPkxV=|AA%(TmE@-&LlB$W3AW``NW9F#S>(` z?8oMuYIU=Nk$RaAHaa=hMQYIJ-;N=8wGn@6g&hE(&Lur@ecVVB$_;5TsF_oXW-v#{ z@a$CaON?}bG$WXFD!<|`2T$6R1u;*xdE1wKh8O%dkSP~?BvRBjl4ohpUy~(q=ltGH z%g5^F*sxo_77yhtmg6sf^jPOVA}iII-JFZfHGNT!Hn6=>Nx0&nxbjf)|; z>ZCWQP2v3nObhvaMCQ#gzfnLM)FB`@zuG*ra1ijz?Uh?d@>rX``z6^M7c-1wOW-R^ zOX)&!3Soi7(5P}6KASgzZk4zsjZQ&v5kaIxv2@n`+|IJ;?%$1>={Gq80*!99IWc z4JP`PC7oD%)%w5!&4YLe3nU8&3seI8<3VQzEA$?^G6rYgyk~t=9dH@QL;-&d#1}r% zh_%TyUje1vLN&xwwz4}u3qJsblodwJY<+w0`h*T)`D1&$ z`3q>>=~JF!QYE~{>7A}qc;*e(sR~INWf$tIt5kQ=s=Q<%die9m37xJ_f0M~Mf}F{} zMGqf|a8nBWL#L}d{mt~{BsbWV9AlPL_#4Bd%w@)h4_?H_K-=z3?-l_*^MDluBS0bs zMD7qhTNaogF&211gouDe@D?zWL36YISLt?jmF>=@JGTX$`-CNl9&{~9)TgY^MMiOw zr#_WX&;4ZA)j(j)Zf>~!L0m3aBd5}ZRYi?#b9luq~L#J*kNuU=T{ z(Y}Ab%Hc0PgNWc~gr`)^%?g)sYoGSKk>x$OyttfG9CI$3NQdh3a)Qpk1%>n3G^cLosGd0U*93ZNYynS;Yod6+ zv0sJ;Ht?VT{hZsF*okAniov#bb6%ig#}#q^*+t@wSXB}}uj-pw;d8X-2@bDkd3P-z z4@x+HBH{XV=ihX9mZa7=w|RFhWA59stHwum264r$alRQW-xt}yyw!g!LzA9zR_Nm# zoa;U=4CkZxIcbAEv<>#qHrPYkAVUk4zs7Xa*`itTRcC*?UWP?TdM$l}Pq6%Nc!L2N zOJHzCn=0};yZGV%lAXgYCOeeFXG_v@)N9E0n~BFg-($xyHV@(vkh1FfrD(5J1h5(A zW3uZYt}pWDH+#G@a%_=!od+@68{b`VwnHO-ltu9i^?+ZVPM9Kc2t6- zx{-izHx)@(IZ2s6kj${dH#KCz&yD0#JUc1q-3CwbD`BK#stdg-XW#dQPt3-3pPxS0 zf*5R*B=s?zxzb8H2cS&JiVzQtD;q9ct=cR^(ny> zcaOzgtGQvk&`inUYa>Tz5|zH|rTb(^ZW&Tx3(xkD_OOMF*u>wck4_e@z7u6*x%e}m z!8}|am5guNvG{&XUMv2Wj9W$0RmtRitc&6ng^=wJ4}XurexVAUr@}ug{yaMEM{V>7 z5tIo}StEh_PS}$pF*SJ2{_J%_Kf0N-D z)w6rW=u#xH+^LR0RVxORTL72v4kopFRmt=Ye9#*}RESxZr?txeB?xoZ0{&8f{?w>!aNjiw$ zBqI+F#(~JVjS%3qHM|louu_B-Z(H~_qO~4u>uH;E# zeCL9UtZ%T_sK(Cl+jd?u{K%qBs^vi*o*@nXvtuU7jRbH3i$NS4?qn8)XD0X(VUV7M zg*QJu6`qOz%lO|TQQgrJ$FFJ)#%Fb*PqQ3Q3bXgAobYJH!t%!tZw-b{e#KUL!Sl?v z{$1;@VKhczEYg!mM!CE9r)Q$gL`7XZiNn6<9wp6dAEAisWIw(3ML~ z8OWpd74^}V7Gs^Ub*^j+6#`6oM$G5Xp&UKLD?%=8Sppm9k6)jq*B^EOHp}6Zlx5w= z3$$!yLOQ}x@A%a{ZAaZ)fV{&x989z4?5z`gO_3^J)7{k_fr~L?d@U=P&s$YTpc?-U zc4|!z=(;Kt4^)}@7$&WP@KVw=kD}@J*!=y-`NHW$##9BAyTzab1sa}Nz_0?S0IsaYed*t z6T74aeZ+X{#b+|;+!0f?4d$rFNRolK{E8oIH@?QfopV3%w)BeTT~kcHlnog5*4fsqmR zH`>*(mQzxq&^OfBPo>%eGkD@-q)a>q!*2Zrv05do>bxt$g>~M!k^%$fNS>j;fDQ_V zj0%b(C6YUGg5+|M3lE0o1za`Qo?Tw|H=+sO{Sd4DGKnXnjO)e?64bR4j;OF zBmlyRk|WDXt+D?t>vS5)l98~MJ5$L~zUGe7?7r>^ss6Wh=MlBA!I;#P9nS85`wQSB zG5a#B?@PP+41>F2(X^KO5V3|w)3W2iVO$EROB||Q-}o7kM3FCmuLwaW3miWP+iDK&#A+V!a~{!%)%?bYUHxz< ze)Ze6v3U=ghxuaq%}-+U?(>_6ae+49Gq=_N3gavXX8p8}=lvT*NPOi1xrqpd+o}5DV)!w+Ow5Tsm|);W91r@D5#7 zDQ5bi@plxm^~C{mKmEFoO>|yzB-IAW-=XHZLlxlz$w_sGs#i~nrp7PT>OQQ{od@-% z6Kb5h$zr!puDjo?J5(M%tM1U0aB1D48QKrNMx%9y0{0ZueYjA+c(-<6H3>>;NX!IE zYRcQzp(S)AF6PDV!Lt?gA?X=xtMKeygH0u!0cX0gi+A1qX3z{U=NX5=i;E)nD&wSb zzKl=bIn}-VL}fFuE2gc)E9~Silqy<>5S|`?;yH3K5Uo*^qjo_q&`bP;WU3sTB{2?AD$3#I&r6|#tRhem4my+KZUR*uj#Frh~iBeaG` zWyFYlOXbgW1r2|er0797|DWO*I(hs=MnGA#!oLDEY1QBK--tIhdR%aC2e2;Cb!EP4Td?tN!ThF%HM- zLc3G?#jo7`kL1`FuOuz0kyU%(w^TFqabM!ccC~h;P|$}%F%Wd0)^H-kKbk68R?-~k zo9bFMLeFk%3iQ>K@7`EK&w)$!%ouI$D@es`=dFnY2%)K+q?1LjIw|}KG-V@1>un5z z3vQMPHt){v|A+4U6i?NN(;2y`dft5zXL;lfyU*GKCNF#4Y6$n5D2fGM*UPuX zYIbXDr{`&FYf$XXdxrBHUA6k;O|f}vYyFj5czn4wFnOmxo|9E8c&=9WzN|%8(GE|W zwCEB+I2%5vd$j>B#k%i1^1g24rRu$Hc>#5{GmONyr35GFJ+%SnOZ@?axYX*%iPiJk zBcrP4ZH$a$tXmS*DpPA@tjaXqtul?QzBVV4Q+-nS&$_yC8uZHKKNE=Gd}KyEr_>+2 z`o7SDE>8I0GeZVbimbnBBpM}s>8imCa{y?*VPE;DO-`~o-e9bLM2|58pr zy%i(EBO#b;{aN2d)j97z4hUrjqaSAn%HKlsdmkTHZwQpXD(Z=V^L?6F9rv48ufFpnp>^bM z^5^enHlK+F{zU)RO2O5g>hI0+edR*B-fAAM?eEss?xK}V{)XG038Ogq+^%?&zB?gR z_Ds@uC)?hc;5j5r8{)iekt#Frm)N}Lcsh;J>tgf% zLa~lWKA>^;I$5+NngQoaw6PBK;e06;_=`*!s#$q{jx-x~BM-C)B-i?h*{M;JX+t*S zO_uTcT&+JpVA6T%?M5^3C+ZJui3Qs1Y{@aWalbL471-K1xzpvSORbItI@u|WAE0$H z1D)F1t2df8ZRXvZiA0~g5btPvD@!m6j!Bza+1;uG8vrlgf_xr+yXYisJ-$P+RThh&eq4m=BvX*)t(=MN^yrA*2hrH1IrdUIIg&MWRr@@4n= zb{+NA9nB7p;4kr|xpS<4*Hc;HpK#fZM%0}`qV8-}QFpFC7pY^bRfcd#F8CJn2_2NRubA#+t4x1{}UBeg2(g^l+H0M{ga#<>VM0^j?K(^}2m>zsQ z#}P3=%mCv;O`*~obY&6dsOEe)jrb!3F7X)!jEN>4wH{&yrrTyS( z>Q`P7c2U%ERv5JdYA3DXkMa#E;bgSDGBO+)5f^>dRhbO`B^i(@39ZcE3J1dAb>dMp zU-@C!1gUb5nC*pK5lfPAs;S~^MvTr-Ciilwf^xWap*WV=J6#OmMA{O&%3L)7nMC}U zQ^nUlX;0#56e3<^`R7gmM>NiJwfkM9;o2AiD)2fob7wOL4pe}l#6bmF=l`77?!-P` zRBDn3X1JY2mx)k-4$l-3|zxp>gYa@*T`!44z-P@ybsfbbUa!m8if6C`=S8nW_cf!kl+ zkt)9JahaEJzBA0JUhmP>ElDC{&3{ZFT3(Ccf$RZ;2XyaI?OrDnqM(SAl}aE0&t4Zj z?262?Zh!#ULFKGvJjO~AEeFY6JX%$k+#+yifP+1%3*0`b-0qTmm0|ozh^?Fe-kba- zbYTuPBvw#91IJ5$CxggoQV&5gwx+M`9Z3$3R>8D*Qmi(tjTu6b{wyJD2a?S!75C5=lw?q z=l->yE8;D>+_|Fi93IDOPN|Ahmhp~NiVCGOoNFv-)6MSAfLxH0ip~2cK|Roy{WsMT zE2+wA9IQXF8MvxUp+ac-B~M=0`lm4NMIYfAyH$w0edC3>geM5LrCiZ}an0ZT2PF)M zaZBIaX8(Ear%-d-p?AKafyYm+<%$nB}WdJNo6_ z{^ncHtHO7ae1Ytb^j&b}FK+iY-8LU_bxdjt@deuzzws2##Ub-Ra(?>#k=;q%OU#1l z-N4q#oC%Pt;NXNNSik?N%$)LHYE_S-S4;FjOU)WX-PW9C{pk#mvI;Bktq+;qv&;rH zByQuY@MT`OL{)DQC0(Dt!fn{QvN=>SQok6l@gI;b!}&hHdef*(8J)ucy7T{I@6F?* ztj>o2NhTpf7A7pg2t)=5ibiM@Z4(A+ZZab?Fau!~t5h%~g0hv&2q;T%g3WL{mABf~ zwmz*-+o!dQt$kYAS|tfc!XgB40c~qso_fb|L9GNtncw$1_dSz<*thTd&+~kKzaM-u z=iFysuXCO2T+7S;*qk(PY<`!g(No$Rtq-BwlL;uGoB~4A*<``S>|`)`5Q!wqX~|Nq z)ngZPOfr%@<0MZJc`ohFV`ex*R>?CiIW2)$@Gr1c01vKFG*$R$fG4sa8yRC?_3Xc( z45e``eiFIco!|ThUY_wr{_4|&$NoB%o>od;=ybia;d&xzO}ew;0Zsts3t{xHW{V2( zQb$HSvwmTzAmZ2KACzPj{W6;^t zd5{n;-UcFBXo#)5#2@pfiE+wa++5S+>roKf3Fcy>XR1lkGw!EzrE4boK_ONjvs53& zeo6TI(%W!t`MSS^7SONYFF#H6?36DwsD9nt>=1%%Ba$U=_RekeT+{73O%Q z3!TktQ{DIIZ+J`oUcYWWFRn)zSr8j%LmM85uBYtvsM5r&>F?>h;;D%{BcEh!xP;cN z>_>t`i*u`eV%eWqm`JGSnsPC%^tsS+Qc}tBcz?#H>t$<%s*f7;MzE^9 zZ*pm@(n|hz1nHRrLDXe%0FFJX4!=Nji6FAmnInbBh6~_ZLT?K^px4uAY3_a&j(fL0 zuLF$hfBoXq#AItAE1chH_1fQzt}XR-!hFD5+$ozglvk^j5B#SKa=u!SHQfu68>9^^ zg*7>bKyIjeLix2yY=qnWv+14kG{Cx?4`;`XE>gGZU2Xa7MU=F(;YWf=tB zABP->!x~qGnclPKFys3dj=7r?1$BfUopkx%6)%w5)~S6)hSN*K87OUh ziuF-IROi(M^1w96c#AxoF-_fBfBysXkc{k^+l>Jr>Y(n}@bmJ5+Bw~6gJz$lTn7aAF=5;-5^H-RC%aEXaJbWJ?v zaalS*L8pijy~f}U1%~iCSm@YWc%y|T>VP#|K^+FEcnbb?cd|#nZw`vW9F#nupby;^ zMpEx@CKH;nAP@V?Cs;gFyw`Jh8pi0+&6Jpwn)Xv9wT%}QKmB|#yI}~N)8<8EPl)w_ z5qUAoeR?@)8Siw@`rK#ha*azR|8VK)Gs*_o1+UWP99>`|N@-cmH~t1Ek!2f7CO{@) z6Rvwg!DC=%>(H?3g=13o{c-P$> zIXub`=4Plde#Kc^U~Hsv2J~yGHkbo`l(HCt{)U!{P`r{n#YxXZ+{&^Wm3ovu*h8Np zx+l6$_fq;+*=o9!sKW>fc6~EU@$lFmeR!`+Z$U z{bP^#M;t@SU#~h%zUd98Lf9jGJ0E{J{x4bnVfZgGgR>h>g?Df#NrRNY?>Y7Rnfm=y z{hn37pQzt6>i6`8{28bs;9Uv>#;CA>$W&-}U{**jitAuXLTvI^bV=658+$SI15>Kr zBI4mFfI7kTHh`u2T%(WVQcIyti)rVS*S&ky@5k;7>MaVt*qc5&2>)qp%Bx+k(r?I1 ztzD6)Ma0yAP~9AwPXI>NS1?i$mukHk`H>D4b~1 zHm7Nu9a1ExmrkRM}{+LUR(lp|T%wsV}l- zlr7ZH_*9;Vlm!WRAMR2~&^&s;D61uWcl;4kGVkYbSjz1u#jF%jMx~N(=xPsF2s8GF ziYF6Rfw2k0yGFL+E9gmhXp3wm0XRkjuqP#2%?rP!`~c7j*2QtHm9KV$hl-A6=y_K| z4Nzj(w+qE7DTW=N1>T__0a~RMWrRk8E^N+0w6$OJ>!^Wl&S`glC>*HwCgN}iCBkq4 zoQ?N#e}Hzivm|ZU7j7p16S?SAs5wEdr?Ze@FnLQ5z{gy+aIECX z^})e%3lH%$_BEb*uzNZF2k=I*g~F2}3f#b^Ag~D2H7gfo1byS}{t^}jEM^&LtRn1< zVuf^n_+5#25^vlgrKx55B!lvlSvU3(0f$A#okT`lHe+IsDz8;l#;dwoxTYq;uOtc@ zw#Wg8ny*B`Yg`vN!e)@($m0iFu~$5vA07r7wdmCD^iZL338Ch}XT0+*@e1Y~KdM;E z=)?tZIx^wIA1EB9=$p%AIeh?+6jOYeue|7f0z$VLXJ;vpHV5T^3ndBQY_b4kl%yOo z?%}2;B4DOfjcbiN<=fqQcOfD5;|Wy?V$KNE#@ogGMa)x{rucm>vUhY# z?*BqQNM(cwK+EVQsZwxPha##q(?AL>C@LQLXRFTayC4bjtozh z%$~F1m-zLW1LX4dBfK7z_Cxr0HvTU@U`fw$KKM<1n03G?lTgd?U4p(!<-?ZS1B*?c z+xg&a;&T%;M|lVlvU%j*TxhqI_%M}O_$b%?>b7T;${f96^N_eO|Pe?x1={+)u!n!TKWO4(cg>AS!8xxB!lB(8G4f;dz?Nc z<02VyE|wve40+@9oQtII(<8mU*KClJGt?Og_x;t0=xgKWM%d~94J)32GUFX9V1^ms zGIFMyDM};&{>zPL>i=Q4t%n&89=OA<9M8bdg1ZwOGKGb&-5}WvXL}3s2BhtifwWlfNdT+%hr6~?alv)|fImYDpk7oKQK@OcJ zO8X1~NxfTHH#=a=C3n4hLTp7^XpFD=J#|v~I9acgtXQfiPo28TQoBA5h23(B3Ga*eayF0%=0EbyF}hFOkEXXDfPnP8UsLq z%RTSA6k+^zp(-va#dX@)9~ad*l(gFsKpW0{baP`~PK(sY#r<^-X00`i+;snFC@TR;3=e;~VSl&?><-PUl~7QJQw+CQ zp1;wLdWwGNCy#W-`zAn}u~fG=>sI<8O$NrsWqE|A!S3mR-*6KAhLsG+SFpih44`w8 zVK6=HqZHPt&PzsX9O5}dF(A7oOpO6V%bR67%z7YZs(LyH5GGy8#H2wnDdCV%cbL?i zgGu#x*|6vVN~eG@akKOX3dX?FUyhI{l9q)lA-5=f4`cUn;_uDO7RB6&fd>Q3reKVdGTOL`SdN1sgd4aUXCt@*nLg% zh3#OZI99%s{C2n1Wf0E+DmPPS!whl;bWJX&&IT_ZexY>c1)_cj;-sG{(_93lg_V8Y z%T+zUeq2h9{z06`nhb|?(vIQsdV>C*jG1}qd_SZwpqfi+E~ubB^5?Fw)nt}<$okhZ`~=4aC%yzsIqf}7$^jr3GqeMxO6_xoiBw%o-Z@KT?|mW+t85H*6C8ob{|xXHwaS58ZoU_ zz(n;2WOn3SDYf}_UHg+)M}NPBF+~wzuCI%FG9M+HdneGLG*K`O?lS>Wc;Bg)+tzXa zSnl){1SkCm376Dm$$&o)Ao||Q0Mc)ein@)T~Y z#~X3=u-i8l52xXQRWO+BIw$FH06;oH(pB`VB zz_QZ>eV#P;iXP1!e39mgCV|`4rV;rLQ>TBG2e@67E?n+-ZawmE1_`yhf7{L&Rg;SnqrOXSnCsds61~KnmSzNjPgYeao+tM z9l^1$=YsS(r5&&)>U%r4(j7wni;yj#tg*~hR739KNTR|i8Xm9{-Zfbt!odTn;{*CG zwUol3b<(FymSbtq8QDkpsY)b+H~m^h=UxV9yxHXkq+k^=%om%I9GpS4Rt_jnY*Cs= z4z9R8QE3g**EqsO9A}}VPZV5nuURy}Kz$G8JI>%7Qi*QZORc`>SjZ30Ap1C_gobYa zsXk_>@e_TFuPY8l$ux4^*<)U7I`r1&j!cieLrz*(T+V0En?us^_2lmy%C_^k|L)u* z??~8Sx3ht`k=iP zn0$(s?ycyZ9hslYwrHBGN{GMM{8pw2*CJFaw?3|3VnGq>iM)g~?e#buX}p8n@|nz& z({m0M4N0uzG>mdE0hpl#GR>DYvq)6mtPrZK$$qjsGIH_#OdRXGc}Eajv9{b1vWxbx zYTtODy=`pM#_}pJ=Th#@94^qc<CY;lUCtvA0V|BOx-JPQ9WS)z4k+kq(oLDI2sKhFLUz7fTdcFKURvg^NTL#H0>i z*GGPLQ=QWYLQhW_7M!0fF6#)dWW~^B1ve zQ+>(nEuYc6Y}3gxom?E%S3U2{9mFR_?kBT(Mw;)VJ>N!4^%KgZ+WfJn^dphCVE}nn z_T1a)q1)vrC_i%}Z`(sNBX4Jf#zfxk#VNBtbiFZpwTzE?Ww;E87>8yza--Cz=iP(T zDJl*KT5kre!ilftyVm@^O}>{HZQGK=XQD`;`xKBw#RAot_9hoO%7f?a{w0!L84x;XBlHbXAHdfsa|3evLd=O+qwu95@X@FTgW7^**| zsUoM9t;K?Nrlr}cjMl~E9$S9JYJWVxOrSUfLW;)QdE|p7#%)rsKzq-#?|4Tou!@ELwISOMRDv#O_zadHQ#yF8#2Ucp;vt zAHZ?Hih>`S+?ytw77YVY)n50j&P_sT@xK^&ecGGmp6ao!b1n9}niJN!lG ziVJ<<#u zk-Qwto+5E4{qAS$W-DEBK6i`HIk6pW%dkSN>?>(rs23&xfJJzayaW4Ub6h_6i!1#S zw}UtVBjZ72cncZAZs+;<-mvQ75}E?1L!#g=^-VmQsS3VsMovn!1iB+N`}V?+fN#NtsF&OB!Vyti@dXPGN?8HmWKJ)c{fQ%K-J41}0nBm4f-AV5P zdMV6}?)9KZ+y;hZuJJ_XpSj&ZKQdL!{S*+Vw92t6^02(@uvE##`}2X+bR}fkVvax7 zKC0)$(6U%(6h;|S2OzLK0zR5&oLZS|ZhRs`GRB>E-3EpPW8s)IEAZjx)az;fm>F?C z!wDYgsDR$SEtTDPe3iN?nP-K}OMux%zB*9s=xN~&%DbsC8RM)^)$_W~k=N=q;3YvO z{EoEfy5k6igGQ`7>1}u}MXXL+JEr#+j&WP;eQU^@xbdlXMW$|TjMli~cX zy|#)hNHyi&;~~2@`!oHJsV{Ro1vhCU_MyNDdROQct|TInSY`~N>Cv)CPQv)`8{Opo z*Y8&3epq|kWb`)fsmDoyAf)6y`pNjEhzdJG4yv?K<-3|N>r@~*s-HyFt0x-XqdhHS zAL+~wjh3Gg@^h*DI3s5&!VO;cN&O|~!!6iH(vKisiuXum$ z&&1g<%=BlHLioY1!H#--(O|o_>11f&=FDFqfN-jPxOdUx^)YRu)6+&2J*x-}bnfgN zgb|td@+12*XbR!dE2TQOmzHCtgS<$(!SQVJ3C>|j-^bQU%~?!;@0OIbUkU~WS{<%OPzbe(;yQ1M_sGKsAh0=*rLoZsObSP2q;~s^EVK2<#N;Grr zg^M1nb+6cLK8Ien<+QQQNG#_`eJ4M9S?3QJUj^Z=TA}d%DP}Rb|E!ovsu=VGZ>0=+ z-;pQ?5yT1gOQV_~>mmM8&HZc`Isd~I@!pZs_HYJX2ev9Y^c*8_lANl+KjER*+@%&v zB*4>~eOg*AIJc*9tpoZvWU-zb+3HhSy|%fv*w^TN-nr>M#?#w?oui+z)U<|=Lm?e; zw`YX~^*{p?={+d3da3dHGL%e~3Be~6pdl~O-cETO=UpGGd}bTi#7)KvAd4Jm1MAl{ z4GQPO1ALI=4PJHziuInQaG{18%PCs|{%Gb@Ef`J#kk{*xUJrUiE~iL`ruas%~(8i znn?wwGf?K>+$RCD;v2r59N~kO{g+kkYTTR+q6M9Wf|@Os$byaQ4!-}VUAAzZCsuJz zx~)`a!6&98EvqP7_k0+A;=uSp7vDDl zhr?w-pH_iB&Q0H;*;>O%sJD2`4gJ%*=t(yyNdEjCuzOX#g!NBD>yU@6`z(jr454A{d>4 z)`itnJr|we8QGXZ9dky}m(_xT%q(|pV-B0vdhZjwu0qi#h0-aPZFoQwgG{0E5_j4p zvt27$V77aZ7Dt>y6@}z1$wDV0Yl~N-6G-c7-oOmYL2KjAP0TJ2$Nwk~z}$t37jDb) zP9c;|<7K8_KTgDTWG>|>BlR#}wUZfCQx_{Zh@uONY5>KnMZsU)X*~BXFa=@_r+0#8 zbjqb$kU~LZ72_7YDHGc=FnG=P>g@s03(gW&H>U@;9FNY@#zN!)BSBlqBnAL3LMxkX z@d${;5MgW+6*xykqx+H>GMaD7ZKBXqR&${inohvJEC9n(zJS}8$)qZ{;|dRZeX2yl zmsVn|TP#ps-B*{f8$ValcKWrU^GhoIsZhK2`wZvSOL)EGZOhXT$Sw-qBrUkaxm6T` zK2MON$hnCfo#8RSRz%*=lpzYu(fHSLX8DZ&j~a`}6_vV*CSF zUdC_XszO2r#rrw8wVd)eit?4cq5-Jt6cItRbb6(lP?fq#L8OV_MuR+Mmvclp zx9y2fCta=9+(Bh~k(6#CunAFWO;xF>DzyRel3KSmaOFsT3s()TwQGaomr6pj&TQw_ z232P~L*+(%;F4N+j}-KyT3#oZwNBBOGq?$rFJdUwoPr+8eq=FlzX2L>y%uWYB3T=v z;0XFpXTD531g0p~Zlm3_(d2wHwaNz8hfKUM`9YcP>@Txmt^i|cm2iR0GrZ;1=S}Zt z6Pex^ghU}BwLwM8)HuIPL*D!_erMLX-@Br4W3JjV5enz`^og`2MH-G z3V$7$`}ky;SsCtw@jNxPuQ_US+L&GE)`1K=DF+q76-iz-{eyc<(DRa`mn;TWf=rS7 zNVpi?2k;=0yk45vMr0>}T)M_R^N@H=&PN$Tn}uAL?$FR;M56HIXN{@<0P?)r!q00%@*m*N7N&-=XWa5Rd-h1s7u z=RKQINgu|Ge5X7t$(KFSJK;C^>F+Kun&2x)g2g9+KwRqtKXdV|P)}+snt{}3s-mo$CkTFIXD&@lTTiv#4#j@K z5i*ZjB{Gga^!sG@(CpQalo@&&a-UB^wq}%dHd#}9p6x6U0YO=q=#FHcO2A4%**mo6 zPqF;F^`H^>R8g?|dm3xHzqfN+QTI#gaJe%*(7wi93U(|p9zux~p^z8rT zL;f54k8ZDv_ur(Q3H&~fYd_6M+|~`i-v{)lEebUlKoV3O`jr>q(C-6-{$9yATz15> zJOJ-czTqg^Xi%S?FN)gbB-w|g$`5)}vRPHqxkWYtuRCu56kwzFG=lp~YeG@_BM^cS zQ@JBm{DHk`rM{S!79Z?Ix05KI1Ikid^oDNkhKP_<)%gf4`&uss zLZ6($3)yZ(VMDmAV|I(eMvr{o*~A!(;ug&L|nb9UOslNRkj z@nTJ>vxyI3Jn}%MdTYY~55v;p(|4v>X;5INw>Q6*qcy)>Alip=jx~4WXwkIzFir1^ zVxoTfel!$$bYj~1A_mk+72o8IPR~I3(V7=)y*bC_4&bQuMsF75LGbu;yvLRlH$!Y} zlrh&cuf8I==C2T5-)K-kAAi9vQ~b=l59r=5P7(maTb$Xfs$iBDt3v%~@GVsSyl-TU z1H?WP>}JgDGi&4qLUoP16)t(CKRVt0AwD%gICA~J@OUCJ!y*+E@Jce z0*+W$GNWyQK&yiXcL=QQOy@q3yp!-kX6oekMSTwI&~O2;L}SDU^dA_JA4T)6a&om( zP0$$SV;9%7rid>iEpFG>RS=#oDsl-IjvK<$2}-kqcny}I41zMOAedz&$U%_93S#L> z5d8}BXXnK^i^s37_OTkY;QVVe+K`Os-P~cfA{^&MWH)!DTM-%OMda9n~7gVgvaVvy^irU|BsmkWC$5|$n=E6`Ojw3yOiTVAR`JEPL>LvbDaW?*) zonYJO8frVo3GK~q{(EL`Rgg~)mqmQ8w8**&TWG9A?PS*^hE*|%-cnt)G3sMLrQ!40 zncnUn%XXa*M^vFItU!OSNN;XlI(n^0@^#caF^xzr*zR7Jr86&lZ2W>CX{Asx&1% zv}+W-*+ZkT98|<#9!jA{`8MXr2*-y?iadTw`e20>e;@JZF>o74B!0}HFJt1+^vbGe zuQ--WE2~6$hJ9Qn*S89}z9~Kt*)Z>z_@`VSRx3*RXAH!@+e#Cr#=TYB$^Ln4@k96FS3^&gW;{>7l@yHuD7@gvy z8S3>Ug;#+4nvY`gYJbM~l_WYTc#nRd>&V7^8+f)G(Kh02&S5SbrS%h@9?KMjMxJV} z2)T?HiQ|{-&3s$}l`z_CyNuOR0)l~YM0j@@cgmM~t!FIcy-vYs>rBIn(KzC1T+VKu zJf&rw7nCn8f?3&J~`21U)}iGucIx;w-Z z%{)Gd=X`cW=3()GEoWj1mja4fafJ8ob~xffAlei?UggbuLSpojiGr(DRULA*8ZQ-n zCGny-S1G!crj$aIYu^ zbaXb)RO_$u=*JL+(GvSB%0!$t(F7(IJ}HW5L<3q&qRqWKHaBf;I_jVFn$>z2j|5>( z%ruWaKcnm4>KOx5OUGaknS(+~h(M&2n_8kJQSkU|w!3hLEArbZpp1Vz&t3A*iJ;Bb zg*R$qhrbIWB&X9?PMZ=7jLt_+%Es+{6&qD^a*(f5az&AjlSaBwi%L4g_)vwAU4GM= zb?_i7w7)UyT4Eso$hv5?{q?Wx(MW5)q-iu;r*7UfP_glu%`3>EaRU4TG|QuhZNoy) zLHKcL`XR6W95fw8(4R#zU-d~z3H(KDKw9VBbUK7ej1|JIEf;+E2hImGaDBRW5r@R6 zRDQ}*ha2{*D5tZ7@uK5*m>u_Z!EjH<(YF`)a=zc)w(9z1r?Y*jf$~Y;dj+k&3)6?t z&A&@Yt@dR91#Fn$s86#0yYqo8FrvH?TGq2Q5PG2Y+$z+bduD-2UO0mV=I2%aOh)02$AdYrk|)b%&wEe%eeqC%KWF+*mGS9?mo((vaA+?tqm9$k`Wk z_{KhGY`I$6$>P*moH~m$R+FE6loz^gHxG}T$18-I2OBMF3PJ5P{j{-t9HliBZ&$1C z(c>744xz73#olD1MSayrn)8K8`;CKZ>-S&&T*g|CjzE-!5Y}=mun-Mam`yj||rJ z-l9+30$W&JA@m7hP&sdpRmdJIy?!MvY#fdzausI8v^c*Rdd-FaLZcz;+ij7B5y$RP}@T| zYnb-mr7G;_c_ zKEfc$yjRG)D;5KpY`K%O+u64$9#Avvg?Pja&$VW_%9>$8O;-pewiJuc&ire~D#ZPQa~M3pDU*k}e+7^_W>&sc7H zs*GCGGuN1BdgdFmOwS@?is>mcCYqiVM!D%(ZImjHUQh3gV$&}-VWZIWORtSw(=X#< z*i8Rp;{V5J>47fWz%Wd|Y!BlvreF4v(Qf*i#J|V%w~2qd>2DYRZ%qGj@jqtzJH-F6 z={LmRX!=izf34|1E&dgz-v)Fv7MgyC_~)AbeDMcNf1&s*OutL~*O~rN;vZ%DOT|CL z^p}Z0-}DRN(#SCVpq4h{w1PD{yfHT89n-%;{2iu$wfLVm{q^E+GyRR?|Fh}eBK{{$ z|0Cl6ndx67{zpvzqLFzfJtNn*Mh2SDF6D#P2cv$HiY} z`a8sbwdps+?=t--#XrFGpBBHv^b32D@o9;gcZc{-n*Mz8ziIjl#edxNyTpIc^p6sM zlj$!N{~t|%nfM0c!N`KEt`_-C2^ z)#CS={(A9`H~o#`FE#yJ#9wUs9}$0{>3>Z8xu*Yd@!L%Qlj8q}f;;+l@f+f|E`EZo z)^_jp-adC;=H;-SWEw3h#}o%4XGf}#C(RHfw(>qOLw;n2%q8RsGuH!V$b3SI%#eE| zMAfEXi;WrTuFqdc!rz#MO*gZ`B%1dVGvo#{WE3Hfm?5Lh5RCNYeaj3PY=)E((qM-4 zHbW{1xyKCYx>6Pa21ng_E6kApGD8*-vfd0iW`?XFBxHs(n<1+Sxzh~!oeEI^h`@Pf z;1A3|fkXsWnSq>t=Me%tdfrpTG$0mi_i`rc z7iUe zha%CO4mVq{y5(3$SNp_G9_lZg7|ZB|oPBTAn(Sn2;)_vYgqXzPWWjJas)A2v>MxeG z1*_X8>YiBpvDag{`LL#AUZu|N(ceQ+>%?dv*6y!vUws8qD52rH=R5Gq#bFgn6P@Ro z9uya=lu;tEYqLf?ce|bQ7!9-v}dd?1__|t zbo)8I;Cmym)Yejx`4F!A^tu7o=rOqF06xIE>Hfs|;0+9C$?PWHiaInMY8%4_d0O}Y zgYCM{p|^ZL8ay7BG0HN)q~{uxTjuQpk=LG<^~Ic`r=QV(!J5`*Wl~F8g4LfevlI2e)7HFx z@BeIG?=t80Ine23;Y{tb($mwKGO-2|`$Rka&<{+E4RF9cj@5u8b?N#cHMz5%P?K8> zoN~$Bii-3eQ!B}mGy9k1%uXEUdHR1dua6A}E6Y4IjP9%L#SC%bi!D!+c}lLq?!_%r za$Gz1cTb6-b-k!2<$yUU&oL?5h`kq?mA{8y3RWYf(#oX#%QLcDf3?#Kh=j&P+suZz zCk(>xeBj57yt(77#Uks^xpQgzQ0O&G78_ZbDEHF?w6X+svtBIGvVc@u)%y9OrXCMg zqmX26G3Joa27v&;nY9JN+SII;&wZ)olM%i3X|~b1HGlQ!ncs7Dk2Y72e%MUY6TDB@>LH%<|^L8bD~?p21BcX-qxLJbLCaBCvnZ z9ywisc3kiCp6JAkXgZ|I)2^`H6HVv(2d{xpqh7mAPLM~{l}b?M27I|5>p7I$Cs5SU!}9e+`xwT>8&od6JKEQGW8BTFGS# z6%ICd7fROVqrojQ-+^(tcKwrp{@S0WRzM4aqtnf~4YveO;PMb2yEo0RU+dNHbYMo1 z2Y;`<3G+l)4yud|7!0!n(zAT~qSqD6S=3^OYTTy6nuI$brwI)wIs1_LiS~{sx(a6V& zR`cumWB`}mM}s^$ZIFfGny??IVK7ZJh4y9-QhB`pmb#%s!4CNH(?-3 z%>$Fr!q{rjbd&MIDuS}f7vec2rI|tAYk5xjTDB0%L`Y9)wDYuEcOR^U9_(OE@UWZr zCOaD4Hs`{*#sZKFLXMgtiEx&xAwJUNkFYF@%)(@g5Jh+i>-$wjMm*u%#zPzB3+whj z;oYuMyu2rqn%$0uOy*7xii+Tng+GvYuwn9ucAluYFboTUuZm}9i|2O@*BasIgy(la zc!ZEXdkODt)c$$4UTJ9j3E}01gUtB!dEo~!O(KIFb$IlsQ2jB2m$tqXYhPH@@Gpy2 z*?BqNMj@PGCcEC}TFNs}XF6%9-DK!A+rWdSgLbGUz$vJjq5CqBPoO38OxBw`@t-s9 z!sA=dLi}Q0>iHtd4y%nhib4G~VV@s8f-J(hUN-M@tn=Te^Srx;M;W(4u(#f`?@?%X$SApjDJg|75dnW`3wg(Zq@ zBj&GY(WR_;xLRZ_h_d3ybC5O`rVKGD{z7xn^Tw+*CXL;fDA)|Mk+1r+WP(M90uJw# zVws<)&F~ zRJr;dn8Qr;d&wVCi{q zZpsmo5P^z({xQ=p`{Q+}8WQ-J%v3%(B~Xln8V~j7qI%pDy}r*VPGtm@my(3YR(D5#LrRDEWSsb3ogIjG7P=$0;tcr4tXA8(5y?&eo#PT9gGO-6#CS2dht#KJg@7_S-@YwXcg+$-A zZ+z4oOugW7zTr8z{@b{rK4|}J8gFm2VkP{LgpbfOpT}hxU)pNE<49p8k~rE>EMpyK z*8ZrbLR<;)#mt918A+_lg^Ej`f$V3)1N(4BvDzJ8{V-}yUV!2#=HwCumwZL-l>wge zKdMK-aJD4%G_JTo7?i{ZQ|5)mnk9O~qO^yBQboR)Dss=4Rgnd$B6Iw(E;&@04$E8m zj2fFq&Gj`IF2ZOb_h+@R#P)#tl0F%itFIj}W7>>97`PSdf{&2d6I+jj?_p*!Hm3sF zuVUlY9JMSqvDj>Wd!qh^(cvslY#AD9TV+u^Jydb9dl$cw--ql`v+h5XR%|WboHf40 z*&vTI<94s@T`_L2^INa*QGdfY)Yh1}H;|jLm$x;c+IsA)YttKdkYPh_(rwNfw|m`( zl532W%dhJE-)50pXO7l|Wn(j`^O-CrSq6jo9}`r)+*!e=9|-0!>atZt(S^&j4sdZW zIlxv!jrY#>9NTvF75^IT>+Ho|y|9Q#me{QnBcrTFsXLA*Rqoo` zMcwhs;jvn*QK?5(s*o?#dW^ch*o18pMZt2XM}PQt1JJ1)??>2AyTkr+2y8vk7SrL6 zhxJTLpvM=%J+1jn78oXIt;gO*aF@|tH5j$0WdHXguiNb{XhhXwxe$Uh`@Y3ZqMXzd zYjBKwl%pb0yh5orC9h_0?^cYeH>2P5uBI#${-QBrwN}yuLDk)|Ahz|gO!s*m7p`FY5wqi0#PomC@7{XD??i!gJPS_;J@jCH=vx~pP>Z~s6~9;CeZDqn zHOL@bqEh<*W{hWQGR6oXKK#wp7~jwxCS&ZeKU`c-19*KFpe`WKe1|rDveXwh8O%Px zkMV&_ZCdzpPqbi4K1XS$Uw(_+{0i=xI-EoiO#i=&J^3PqT<@?(3&fc{ta7{Y|*ehJPopyr@-3rw#q^*OnLkTt2qt z{aQJh=2yWF`GT80Psar`S8)pw%_SAQ5rj*LC|GSKC|Y8=nYH4IZWF-|g-O7aT@?il z#iY-Kkyi>V_$n@1Eh)21l9x(K{#@t-F^0e%LY>bEwUjK)xHwJ9DR{~Z&HE4Bo-M+n zae2|VBvO^BPvV{-6>Tun7p;->s!g+`O;pwSFask=zD|_1rAIU3>*eJVn|=QkTh!ab z$saj)*E%O2u6NIBvBkZ-u?1-qQpKO3tQE-Ult~W!rSyURGDLigqBSmKGEmY(lL)wI z4oRq#GzjjA$;lUtLUQN@KZ2eMiTf8g`m`aMyM5hol&?R~TW+uJHs^!zN+;a=*N@<1 z-DR|_^8*eyKGuHZ-oN2}JnJ2j{sf`=B!_H`Ng48+Wv*Tnyyv?!Cs4Zc-*~U<`~&H% z??-pX-|JqZ(nXiC5MD2?EhdlfgzsF&x(Q#Y48ClBf@jZRhmD3MB*5)nrL@Nh?C*GVb5cgSz6P4kJQ?!WMJyGIR-4dNS1hI18 z;->oFo=XJm7}?CMCiSKS(uYlY@0T%Qi?nF}ZK_c^M+I$hVcg1Jt()2SJ zwKA&u%gq4tg-G~n4QuU1;i0TtuA0D+o)W(!_6qwl=v<~E?WCk8VISSOkNi!nKy&W{oE@hqJGZg z`@iG&vbW&=+##1$V-cUHGCy;q+0sJ;Osdn)0-LQu19TcM!6+jaIh)~yI$`N$x(HwM zWw7UtmJ3>e@HOWvF5|{a}aJ-C_+g{ygUIznju5&A+? z_Eo~s{BC@Na5Qhu7^F2~QDQgY-Q3J@P45fawMLVfc@4v(n3=O1Z|$2XI;5ki%st8NxvUJFJO9TKVXo64wD;l4L zfb^|q3QrU?UIosw%LZ*Fb`#`;Hmt`c3Z{&b`>DZjhp#c#V|~Cfk5Y$MCq_6_Av3_> zDeBlECd$l<)i5C;?i4~LmHv(LG2sUjf#3bAPk+Jd47Li5Cn7SW2^f(dFy^Ul`7DhT6|dWbRy2FfJdpvz2-+bd-Rh*X zVHQJ5z%{>;C63&{qhu5_Q|L;2)t5NzqXprS#?P;ien~~fpYXz5iydqV71dkd1xmi2 z!o|YcA>%*((;Pu(Ll@8!X>)PZnGwLoNUUfdvLQiUt0Nsl#WF(huBN#df<7>DvnQ?W zM(5UB(;Vqd+!E@k&EtHgT|4s0#!qY&$e7H1UUTuD%%AOLuR&Gc7dq%E0sTP!SA@O4m@ZkNECX={i-HGd!%iEGwJ5z0_F)2)0*Akj zOf~ipuq8WRQho8EW@$1O-TJSjF8M`RdgJY~f)+=(=Lc>afACGYgp2 zgF+jh1Y>}6YwlMRrTFz`R>xKp>7(1}xbZw+XlU>!4u%|1n={jRkqNI25M1ZWLZlmHWOn!K6zx*oP{@q{tJf?Q2dj=tQ0F&Tj-XM>{{((P zpDy^j`J=#!pT=S3%QCo2-)_9005L&FE4z9R8h2`*e5r^+ir{m|>2t#m@sob3E54 zx>*N9UOWy=JQ}(J69^+LV|0VX7@g&J;?FS+(`8_ou2Hhl8yO>G=0XNsZ)}q3bmyg= zW$z5s>)ZI;l)3v9t#lZVd_$77K}S}@rFhQsQ=(Q-65;MXfw-wEL(hEr9g0$nX_q*+ zt>GO8EsrNWko%q64r_m6LeTN{2L;toTwFV1zbAGN1VL|Wtu_J>FmG3@w@Ze))qB=- z82qz0)JB8f*J71Jy|K!xMRP|lPh(|z+|Exei}p)w1m~u&2sXz9+omyiYTf%Wec4po zT4_%!<+-DTq@KpRGCQL@G}LNt#3`~!_6*IbCwj2QeF#Hktb}s36uoxY%4=cH&H(fI zVHliL9g)9;8Y;WycVy{Cv6X>UBMpdmP}=3zU^+)$G<>Z{g)FlQnMxsAY{o#NMwJoz z%7yux0T2hJ3F9Rj8$;FYOlBLSvW2s^XHs@!r9FP_g$2}00amtl6ik{;KE-b0(8=9f zY3~KsR%gud`KI5fs&;N`)pYC>1mA7$1TO^-n%&uKIMDHX?o(@&yo;OigPdyve40|Q z=Z|#GuZ^zzfYDp}miEkNySUCD4NiVQpWi`k;kMZNMDv+^k8{_NXz<4XN%V4n zMbN`FeJMEe9D~yJvJ^v*v%yas+Uw%_?6(Aejx^7LSqT|SG$79YT_76#1!o9JIOk%y z6~WkbQEi8S`am>%xYk?VXC>F@KAL_bZ4PJoqQNX5Z-G&-Q!6!^*+`yLCW)fripu9nPUXJjcpZI^Vl z*6Tj({N_!3|7jP*RkZyaSk<4>;!>KnOL#6j#jp{QSK;BcUi*Pf>)sDv%KKv&i(-h3 zQPT%jvg=eb%zjETZPR*3ILBMQEQ94(J|^@VP5(F$n+=2Cr?HGLdvx?&wQWkQpM(A9 z*fRRMFz+pG1aHZw=v_uJKS6H4d!4`I7L#tW$z{ML2ZeMuuc7k%nOW;i`&x##YSjG*cKOpa?N7&mhMZM58XTMrYt_}Ou?^20ha|aD> zuI)OG5Ix`f8I|BqVORX2r(xbpD6_O5P=&W>M+}PX7<%OW=GTVioYs!K?a68OmmG_( zqgd}t;daV}B0yd$3H77Urdlm$H-hUgN&Dk~9`8$PwV;M(Rlc^dBaz@GV&iFBJ=7Hr zt`kUa0d>oC?_Zgi6L^P_ReERvOZl=MB4{f>UdujS(eDx!klqp9zzP$cek?<-L+^hUM#We`4y4>t>|?RsS} zn{jD;#NJF>ePRQm_>dXU5Eq?|G2GxUWan&pjuRLmp9?)YFLB=76?(4RH^GcbdfSWhra!24W{=7%@ePxoMgHWo%p0n6Vz;v*(Jqu9Bv z56CeqUr+b2@}YGK$AP)_J;}B2QENXgYu^`nkG22q2Dp=Jws}k5z}g23|17&eU>DVF zh{~Wcl5B$6<|a@ZK>M?$hoMbYvh0Gr)-E{8`d7Q)XlfUD?FVHSG&9}iF7Wo;1vQMy z!8Nz(^L}{#MljdEW`9Mk|0Wjv`Rm_cUnST7Y}WrKbZ^kqsMlQmE#0es_C;3z>*neQ zQ)c!1Q>!2Kp~=-hJhl3<)&0+xzc;n~mBtGIVcW{WTCM9<7AZ@0a8vinjo+YFzc=SF zEq#|=Bnw|H_wLmnA1rx$<}%m2TCTeH$4u5Ag#VynUTdi65z&aqL=C7d4}O2U3&J&e>#Bzo#)sYu+zX*b4q5;5WWw1 zS8_hE9}Siq3%^M-<7_l$dCj$2*9j2wBW$?!mrI_#N8Sc30h9nq-jZWS-jj?Hy#cUc zW{ZW2)3C^z5zt@q@?7<;{WJy}-EWays_Pso>^$qhg?K_qLV%q$ zwU4Aw2|cm#`NVtNpUA>KU01~I7UM!F$rV=U-NIUP02wo|5P_Wj=679_VhC2cJA~oq zzc>Tz2R!ye0_F8q%7=9auAqa|LGkDt>7COI%h3(ql8*o~&6s?f{Z#`ZdMQBx_e*u}$xjx!YCUO#y|zJ~ ztBz^)Z`=LOXIeasGwq(nC53Q+2;mi zoAbBa+;%k4xnZfWTIZO|U)^Q1)eR8e+6Jy3v0Sf5HFNy}-Nxw8ouDHH2F66b8o303` zKj-J-Z&ecdVKV<<)pw%bBRVS{kwZ1XwyApmXGF83RsyxLf5tW4#xJk!6k zSYg3(`>pT@oj*}#x*B@w!&hD!P&U_Ln$JKO{+;{eyTv zvbxW#dmeI%$brFR^|42PYCHMZw_#rKL9bV2z&PZPw{u}Ra-ZW)K~h_%oadUmYduVe zt(}wAM`C^Ub|Lz8y7}Y~Mm_*t`-ka2lm0`Rd}U-^e)`H+%H|;t;~f|}S~fQ=^qjUi zXdCBPnK{mvcK6RjS3p@|{7u?DS|$GXWa398@k83?++q^zwp#H4l z38PkdW>HTW(ATIwU~&e*dXeZBj$dC3nNx|zcR`vp?8#Y zfI$?OinZg0yyR7%+2*|3|0Ng?;7biYV3cT4wwp%inG*%J}+M~XQSx;G`{ zzx+c1sY=K{CB@uIAFvH231=i*mg>L~8RxaKAzZ2hn1-31q05be>Dbd#6~L3kBR=0# zaD4~0`FVov7G?hhAqv2c5|QR--=#INnzC-FE()Q{cOr|f-b0Srl3zc4_8h~Ul4E|1 zVM@s{m$7#t)LYWce2B!lFl8XX-Yv8~2juu)5^3%sOD}^^INQ>ac^)sHF!C*=O<%;w z_aD+g#mM*Fekn5AH(?n|lCaJvqs3RtMD%3j^LFS}`RsgNU4k9mtbC*1f%$NpUf~dW z9sGOrRz1~T$jA2^mL(tox__$rc*DQM)W_p93I$|73VBgIkG=z^23UjsHg-WY2;NZB z3XE-iQ{8(UZmUjnr4Lhk;{^s`=LCNInDF>X1|wo}b*)fbUE5@a+#Sw_-{SF$x&WBrl?(0kV3Wt2cnf9yh4u!bqbPYApO}Y(AY(HQn<>UyDSk!@#-vC-_4kCx`fZ=y zM|1<6(@ORLFyx8l1|FaQkut)o6~|h5kWbIj>epu4Ccq~^v0B-!nKo1Hh1qSV%v>8K z?|z?>OU{W+70~pt@1pg(@d0uK%9oPiKIu|*7u=2?Bmex~Ib>lHq1r(Cl8iHPEMtfCc*uZpF(hQ&2^K5rUzAa_xc{8X`+phY$d@!TISl%07NlVJR zThb};AMp9HEf^gWzm-azo1ocqHm*tUdX=XaC@~M*&+-mbH+9z%a5p(4D+o0g1WyZn z%nF zvk$`|m~Q;yw`z0EP&P*o`%9kp*=H56@HAcpX`c4_o!%D`1wYCc&>!xD?GxkMfM$~m zS%~3}003nySJSW z5yDY$KRs4ikM?{rc-FZ!N9e0#om<5kU{MB35u3kdV?&QPx7wZC_BFre$Z2z*L2fx# znTS6FS;>7`bTsXbKdbzvitx|13A;3%wJbbdraE(R6C-=^goWKb^?NP9qRRwK(#69d z4JtGCzjjVBx4D3pJ!2}2C%+)3%J}XV#H=>fenCvBar+m<_zd5LF)RgX+k9h;6;qmQ zo5U#9ipDENCQn`}N;+iBewF1CX(Czs4#5J9vJ1;r{T6+7VP|B*H%>4%pi||zk8Omm# zUhr9=@KOxeZyaRs&ucG@P8DSKcI1VXs|l6YBO}|2I&VTvtn>fEH4s@hAH{}PMO)INoKzExULZo}HB7n_ zS%(z_6hzKm5m|Q~=1Y9lFmfnc2t2CGg#Z_FlW7Yf+h~5kEa<$>(>$|rq1=sS zMKn^K!X}?Z&xTgWrch(JmxEW@0~G2p@|YB|8NaroWP$Si-}!IUw?U!!S7EtxEq9^i zhAg+xSUSKuk7VlKgJi>07rA?YC9`R4q zDyMj6Osh(M2egUaKr)v2Io=tw{FUBh$SsxArp@s9r)smzpj)O@&GJv1nvAAwe^6p> znc=OPHe;4mD&++IbNy2%b$`$BYLz{5(l+mmNjLY1pEi4vZ>o2uRq`z}XKAx$r>e2t zGJUod@XtzRxTSLTj5(=RQeTxeYnFFLs$sWygMJA}mT=3=X|rc^cguE*#~ak9dXmw! ze|A9iqjK8RSu>`kM&y<`THyS8W(TXtbxW1MN~NErO`Rg&GrTjsGv-Y5TQ%M?dG^%v z`a8=%E8v}HyK#0PAoFmuccyLXG_EcF8~J4oSnjoz(}GoeGkjhT?hI|}B(HpHbN#{D zLBgjhS7V+uVk!gEDyPUCkj8Rs+QeydxriJLlYss!1pJetkJU(hRqYqL$M(ri^T{kF=Whd-Y! z81UEvRYCq{+O!)zHh*xEbi*djB*H6ioM~G+_DgED;;Pjh44B`66-#Y_FV)!=jILDy z{-t-A>2U5KuDZ6)R=KF=o;9O`3zjXD-No8pu(Ep1=$mR5*WJFLn$mm=?x|Te`liK8 zmavi7ZIz>gHqYprY(DRQob|Eco6Af424UVP2!>YAE`b*`lgRxe%}Uh1+E2-LW{hIUboq^|}@ z)X?h?4O_l)!OF!;*0_>k-SMv5YpNH7>uN4+-6Eijjd7l1n^if-b|ZgP6ZxCT-wgi3 zOIJu4Rf|_pBV#j%xn8i0R{_>pO&ZP|h)Yw8x)QS%+)Wv-D) zK<47#jGEBO#Wi;`Y_4TBp;gOQ-sM`jAhf_WX3Q9gzTltK#@b4jSF>zk%|f%hRVBCE zB=Jov7YpokEf0rQFas-V7>Upql;(2TY=Rt)tTUTbYqgt^S+c}cy?j|{!Qy3gE}M7d z%H=CvBNvV%z5KgLn=uvmG|n}1O&w$HTC|{!#@_+xyt^hf$#rA8)6H41%RgEBaNoDS zsybskdBdWWb+(bN+Lg5fv5W`>&bV=j?sbD(d_AeDCjlcDlM|*37KAtywd(X7<^i)aNTMehF9e&GR82 z+w{`w;~$-W`h+7M{iKawbyd}b)>EqYjJxp!hrgxrQ{Ax%xlsv9)w(Ozn2fb_bRz;Y z=ahG8EFPE|FIc_lbeoy9J7eeAId^DM7r(x5$#m(ZTe9WJXnwe$GZi?)oa8u{X3V?OYmmmmK9^~XK>+pIr7eA5^2 zo0j<9*$Yql)OVJ@TGaippO5mrX+mFg*a^Yr7hgED zdg9A395vqM8-G~)cj)6QV>1$C^dy5ac6@C5tjZ0s4Y*gdwr?am6wJ`HN=c_8)JoyOv z+&Nvb>2oS)9kszBLX=)n-la>AR6P7<$w0l2+7PCjCBy;f@!Fc|<#j9sQK^oPmaZsSGWvbJ-K zM#zuZ1#Fl@FuZQf%9V?1PYp!~g_{L#C^(dVTr*#OTBwY!u}%JTL0#RN+L~C++Bl1| zRrRo%J`>4x<*%(dY0dK5nkBJR#BjJFokJwvy&w;g?cZfA*pMSW#9l)8(lj zYWUCh^Iul8Xh}_N?dsZeu<}oZFIluQzG6A6^n--6;;mj*Q+;9}nDkcKwEa!sQfe89 z5Dc$hy@Dk&E80+aI{!u0Y#|m^hdL-&zWUnbi&lhsU+b67zb?)YSh~DAc0%o9p>X!RKrWC>Olb6?3udZ_mT^WPnZUYnSUge+aU%!9Wtf*g3L)K_J z2gBWl$#J$QI35oa&WLd$njbq*xb6u2{y$K-**Q=OG*2qtnpKMztq0#m z3=a&GR6&E`YgR3<4<#m6FkCmR%j?)Xr&13IudR=z_G?4RryJ0i*-h8i#2t?yf49Mn zkq>Epp5=NUE09?@x3WmqoSX z<#p-fF7F}f)i7YnWTs(XG33WiVRAYUees$V2aI3q8%AQ)t7~g(R=7r_DynL9-b9D8 zm5Iey*E0*CwEUvja92*3tqIfrQt4f|%YJA$<{#B9t~$Z+3X{JJKLG#oVE6&}+w^Xo zGIPEzRw{h`<|JXdCF>f-=>aoL0&;`OTE5gQ5|CE&&#+)E6kAm9`(w+n{?r*glBOFK zWtJs=G$N$^EFO5$>nJT+x`e*Vg-iaiwoLi1I%)mq*U#20#m_}Z`OP|w{GIaj>+i_A zwxg7+15Fe8x$FMLuJZhb^V3;!ATTz4o@QzI1bH}CseX->&ni!|mspH>4%MwoVr`FD zEHxlZg<~N7vEKiXcRjpW!Hjw|^+E+hw!!L$az4ejTfBeG> zpI$gupGmh?oqp9Lf0%Lpsa2(i)#co}J*yyE(*jaa8<&nYi2XJ4<+-}d$V>adfJ zv-_~ZuBuIre)G&<)}FrR5B`3%&y|1fTvL84^M|knvAYoL&nY{L5!hI(+KOUb*fH3l zEf^ARGnc`KF%8Nhz&`V~x!M*S+;2CGWPVP+7p?i4JYg77FCUHz+DcL|DhwQsOl)vJqV zprcAx@#@ssRk6=OKRjKfR1 z&_H@j@0^Im8m+d(DuaQ3qi@<(BTzeGYU%ClXgfeUqhlMpx?0a_Co*Q<#u$dX_02Ig z&Kw}V%O}}_#jq=hg~`~4HBZb=zDZW=)taQ7?H%pSJ*}9K+c8vkQ=Ro~YML5CH;vDK zt?lPFwzW3dI#BOqbB_r!rQF<_q)R)gytGygkd#XLO{4QN<`+CH= zOO2vEGpTJi6063v_1&F%(qSLJylMisAtp}39Z^tUYm+mH)K;G8*o>5PVxWhwva?Zr zKG@%yJ7;$%5=7z%w7JdZnRLe+%1_;0%8K!7&pNtPc3h2IxpZhbqrO&YNQ^F86R~LI zK!P(@qBhZC8c&O)LgM&rYVDetXhY1Jf?}chsg%rI*Qn;pK!YP^oIbS0XfHI1YgeXB z6|_bQ)k3{YnBRVXC%#tHl!~~1`)F%X+UCx)wwS{i$3{AvF<>`y5}+A%a~89qRfkEc zADX%odb+^)L$cZ$*EP4Qak_od>6`J>)xBXu>-ttz@SB?Hr!BEy zoDMhOgX>=9JMlBE&+k3`m+v`GE`RecQ-5XG<8wz;eW2v-6P`cswuMi1oH^{tvM(%r zjnk3n+7}mA{NnEE`!Bw7;iS`=j{Vu{?=L*uEZkqQYm+x_u4;s5C!mMQ`Rv}UG~+JB z7jNX)0o!DZXZlg)vyLiH9Rw)Jf2N!LaTl}9`WC-?pwR;gGI`i6s*K=}0XIZX?umsi;T zSns<8L($2oBvm=nn`TWnEi*KVrRbI+^&E&_>a1FIydIv%R@r0jt^=?PaXWDNmiYo~ zrjS$2S);q(GnC;w;O8f*iN#}!Vyj}95q;87oXPKqfA_IX=Y(+1&xK>8 zU9IPG)61qkaQqXQUs=5|t(>ga1iDhuXNBU|C7Rc_qPt=zbT+10hUyZEAC|=Wj<#lI z7FGs<6gGZ_zQ{l?q0xX74n;uQ@gTN_VxV9!X;TIkYz1hw)F4H2#vtO$n906}mi$)wi%NZRu!h z3MSO{Hm1)5@JDLaZ)E5M^9k|SyNBIfF%vJgw39iXg`N{EzkP${S*p6W+8$!tG6h*1 zw=GYqmF&3m?>5HlBzT~t2TqsLgNxR)+G@-wn`RiQe_C(WBV+8jLL!zbpFfqP3C7d0X#J^r&`)Yv@JFd1uI-Wvim}m8 ztuVAd{YO_+?K-bu0chd|px(0WVzt`Tt=qbFECeZvP8Ib0bXG9ar>EvA!(xs}Z4$Hn za18!IdRzWA?f(6&SmOp}CT;#0m+Vxn%*eQFq6*@0SMSB{R@abJa{NDd^37<${)eR` zR;v@=0>2rwapt+@o-D;I(T1k$;x>+Z)UH0y-|yM&795X1Z4cyt4=YK(gFAf>5hLU$)s0X zYE7*@7gU039NR7S{(7uNcQ^K)CS`QbiJLQB{@p*H4qnrx+m2Xl(Ya^Y^e1kf+0tnv zq-e2tbK^!!tM2GZN{ux^n6z5%*(q1*D-_U`5;ZEi{Hd^?+&hBNUk zQ~lq}x3TH$2^d^%Np*lhqU=KBMCV=%EB*#>fsTQoKJoPqBb}zbuQ&3|N&~-{>A*S@gM>RW-0HXQ1E`;~EA9uG z*8|kcSz5hb7BJ^8>R(ZFa*dwpaEWON#o%0MxjCoeoe=d({W5#LwwhBZ-j|T&OO?v| z7WRD!|71^Uv1%&a&h>U7SWz)&K`dYhwWe{kfo|w%L;vgeYhx>;^QWfOCzQVY=moTQ z>L9^4*fnCZI~bR6`pN|XnnXVPDu*HRA2;Fy))f5ioIf>;j03t+ zfc($xSe>-;RZwd6_S$r_G{{$hi9tt5R1f5<;3%Fx)80Gal7`Z+`L2Dxs_PuRu_~ft z`*fh*7F$W?sqW~k>1j>IJ3H3%!V`0`bjf<@zy{XL-z;g8HvX`4uJ4jH^-E{Ycj?qU z=cpB?EtJH$X0=|I-S$*=uZO??NdHE^vVXE}WrIngBOAP4bPwN*WhVWa&c12b%D`d6Q@fVEahccdJxvY{C4ibt!AoWUF zWMUnNL#-SoI0kg^e>d%~iUT!Bk_qsh=Vn38WYaa*Vn zw5y#Yu0FT_SBea?MJ~li%MJss3(#o#WD_y{(x)ZUh_U$j%}M2VVEIyR;eOXV{C2N~Pd$F^AMFDh zVq03HYm{fiT z>hBJERr||oRUO|QMq8-XY(___)@n8!d^z&5tO|-gdL2Zc^(;tmSw^<#r@u2zm{QnjC3Fp*g+P^WQReb*GajLzdS|f?x zRejq+I-Q}`Q7gaAtp?YY3ie&PJ<0?9_s-=-xmy`kxzTxEXZ&yuw!Gzm{(I;A8>!V< z^n=g2D}#5i{Aqo^fqv^SZKqmB=i&r@b?YpkvzyM8w#9Vzv9p6sqtX~|qljk0(>uqm ztIT2uf6V!Zn^1nwqTGi2cBX{$M_qW-`HP)@_iP(~l=C+@|7hnI=Pz~sZL@6rGUu;y z{_)P=KhuU!aQ+78pXmHi=b!BSj~!{_PjP;6{+RP`d$$dr>ijzow|;w@hxTxO|Aom0 z=ReQIuX28Vpxiw3o&Rm;FLnNvX6);FKy|_f(?=&m(|)pAuUg*CUyPBfBUMMFT~V&U zwGIhUDY2!%>Y77mBg;YgZ8Q?Fng4Z1s`??EOAYDlx^*ht z^I0PYxpAIGnzoL!6y}uUUdG=7_;2EWT_O5U6LO`0N0NfK+|8eAKTFv{4fGHDB!9CF zeYT^p=YggVZ>1Zo|1CjMRcGq@Q`gr1vx>UvnlqEW+UUxTRO~w9==wJ^<|68^V@~HX zecp>(*NFb3e$|)$v&gisuKnzzE3!`VYH|Lh#MNHX-t_xPgWii@cPKv9)(885DL;2t zO?h?wujSObYq|XLSlo_Z^V8DVa#+8%hRxT{NBQV%rZcPR)pUK9LTL@q>M6O#>I%?c zC#O&jZfEd+IHaD~LE1{nuPb*yk2=D`el3TVPxED8X!7&^Ta8cjS$##Zvg)Ukz!SfpDyyQyim^Wb07yuMjaZ%iQnt>QjH(7&1=`Ox6H<^*;K z8*x$hS>2d2vAMJvrr2Ighc8O-y1wSYZxW>Xw|QM>H@7T({_kyUH(v79yafKrTi~hu z)Q&^?Ednp)BTJjt32CH`qr6V{{`Jz%*3_HW^)20!)ZEnG93a$l`%Z&b@|LW= zyqK zg2f#@Hsu;dYz?!>T&Z9N;l)gxE&pi=@GeaKdGGM?drER@aY?G+IjOWx88R99e3{f%x6D$*XQrPXZIKG z{o;N1f9cD6zVg+tJ@DW|5BGijk#Fq%=A++w?D21Z=ZWt=`Mv)Cdg|$Y-~Yi6pZU?V zKYs2fKmFOj^Dq2-|BJu)==sMiIQF>X-?Ol)aou_@m7mqpdiKV)P3;|tb2__{-RExZ*>c|dPCw)QXEq!> z`~&BI@PZHhPuKr{I{$yW{TD5+UQ)C4gk{U$d*X_ft5(NPs;#T%`)6xUJ0TghzoyNJNDlFoSBRF8&Wq+sw0^imEAu2; zQP}4d_)Ou}#OuK{|N_5Wg z2=WWky!>p*uN)@%6}b(mHW(*z6VP+EBSVd9+nE zWzVgMl$$iTd&@+=2?XmAqc?31HV`adi00xoV8pr#2*wN2yz*=* zcjYNtl`X51TVCrT%9Emc%Isum+br^)jf}2wY4+wyh$hHZ50!bnh(Rz? z1}a77%@cXRl{e&9StV{hadR@_deib{T1ysk&HA9Tus^@gww9HPeA$Lc>}6ot3EB=i zrr0T0X43gJ=ukYH=2G75sMK_3j1?F@AzB6>(}t9@Ov}?Wg7H?UW$M#5>|ZSMCXjul zmVle`ek$U%KRaywj#Y6}|dm>D6x++_GIuuap!C*;@i z&{jd37t56xZCKbzU&eDy9s24;{s=swJVxcpsJ;0zA~{@g>hmNR<_*u5;T1XkSq--C z{U_7ZY-`JxYu@?D8ZxjC86droUPvE`GcjK#5@#H7iinf%@(9N9hGogH#hQbd`Xtth zdqpAy&Z2=4{dS)3+sK(h8}hnB+mC#kvLsB?egTHiv5ArHtH26P ztM%NM6Q+&KmXQZaYuYcIkC&G%dGvE$UvAvUBbKnofPJQ1*8L~^ed;gGmD0Ui(W_TU zUj3COUMegvB6-P=%FaOgvI$u-+`CM4jQVq`Hyj#rnTPmzO00sgPD`#TST@4Pbh!*EaYJ6KHv)V>lmfq@|udn^!X!Y z{*H)LY|WA*b#C8R$lN|k#@9!AQ8I(4wrK{<%SG=$<@ElCnD%>_cl`XEPS_TpdnI{N z!kkz_y-O;h10(zGd^LCx^}QHf&)USu2zoF?)4Vfip6X@VH=lVizgE|DJeOdv2hLYM zCJk%a0L{)B%ope?)($33^uv5l6c{vlBZvD&qNkZlLv$Nw%B3RD_`GRPO_!o+pOQ8w zBdu4MD}}XrgSi9Q34flzrYt`MS~j@)qH9C6vAHr99h|RiSf3{kUM6zc<;c)#SFg0Rk0>${MMiX=rER(UE|KSey}DmgIUr7mHZ5DG zkyhIvL?`Xe&oie3d$kS5=h9Y%GO8Xu#TW~QnQ@dHq3bT4WBQC9*d8hOhIukf%dF+R z#p=EIeIoY*QQbe8F_|ktnl~noJpgkybr{3`Y)nNl^|0mcyPy8}Qg|&Hq?vr#FQs(> zeP646&ph`P)*HYTn(uJdY0MMZ%xyusNk7W!uYs>3+h1d@s?&C}?yK=nGk(gmBg=%R zX(H;r4v4xm>V6e?)30kwt_e@kRA26igwrW4lXpS36l`S;){`T_avA;EGz$G$EG6tg zN}h@)>^MN~eVI?@$-sl$vwes<7#TpPLDO|lh~AJZ4fVP5ZXFLp(x4AX|7T!Ey=@P5 zM;;dPwtjWL4ZN;(kL5{hYeYu%WXXvA1-UKPK( zy(j1^^;hIeMNb}k?BOzYSB^xJV<_8%a2%Z*o{30wFM7MaEX2>7Um)`z%aX(PWJ_#E zF6A1=x@4?bmzX*{DKZn-rFl)rlL>nZS+f;LKJ%!K@n|62tTAfY+pvQ7jwqBPh*L)0 z%4)|9jvgrPFX|hSC~PQ*TbUe=TrjsYewo+p_wf*kY*!&J`@ zRzz4%W*F^L{(ZhF02Fpo=6QuOZ?7j)*q4sSRx_qPM~0I}P9^q@Ks>LakTp$24uj`- zcosFGt11hnXghLqT)rGfpG~9BCeUYN=|{C?c(V#+)}DyW*p($?w`NO}u~)$O)%A_l zcUjEG+D@M7xA;%63ju|vP_C6FvT|#VEbGaYB`us1!)H2tChUOEzNi%L9ZO%0K{iSx zn9j%sGM1CbHnI`@naI0=Ugb&M)!hv=sNbx!X)E{_lULzhWFuLE+>Q#zJ1md>kH|>! zA5Q++O`|2q*DHuf!E4#&-qJ!@N;}M;9S)%#CeaT0l|_<&uhpN47epQgW~{YkIsNA% ze*vD;vW#NSzbhNPl_Md#>awl5vX*#CA2ju#@AqWU_sqpjV8DZX( zVKSv9PexRZV;qi>+=QJ^cE2d{bD&AfrE9Jh<6=DBJx!F`Uol6Kaw#}gr1Gk$HhiogXyfE9WAUt;i-KvOv?W%axKuJ zd?}~8e+1O4U+YqtJCv4@&a_99zZPT+ak1_rz-`K7VxCN7T~>rn%V$2yVIB#Fdn0pY zBstDH1${k_zAmS)XS^Pj*#2TE-A8{X>38&V zFr7ChN5-(;9@&THWM0#{4TvXso+nlBgKt^Bl+k`Av|l0Zmxqqm@f(a|%62d1>d#H& z#I?;>KV!?e5ZJ9e@T>bV;2QN$&qo(!GvARn<1EVDo0l9Pjx$E*3iif~x9p~}5I$l;DBO?a9nCj4^Z^td$Yz7A;e)4cS! zglQrlEb?RrQ0daByKuB8G4&6R$nZT+nD7v7*LTC|CS=Qmt>2Tpo_>>`@?4?mRS%Qr z@Mpdq&R6+9_MLEfi?gMeI_0(eSGZm?@{!xyyx9KRz0!Smc+tIgdU?say$iuM~(Su7*& z9p0z;#H&5I3<#cC1!>-dT(gEMg0ERaEzXn0jQt|kf<>$a)y87ihpY|J&n4(>e|^|{ zq9;!R@dn#g>Ylg)oudAcYS&}mNneKOW*);<5=iTf$dwTl!v}{Ar0wwWm7csGxXbZY z_osnt)UQ0)ql9R>j(DAU0J};styhpM1r_K$)@N!RDLaIHwzph#&+F6tbF#9QDRS~l z<7Cw{rLy#~GI`IQ@p9Cz2{LELL^*QnBzafQWI2>LQ<|2`l=@{drSb%s;#Em{#8_Es zK$gnbPZiUqg{&LcJ0$c(&gd@sWU4S`_F;sn{FpSX^<*#5+i2S`n1}DR?)jltOpC>m1{mOH3zASz{-#dJN0lHzd7p))Vw=pV~bdK?}cd+8`ArkpMV+bw4CUHOq%vd2F=T7J-Rrz-?qFhTa3o}7_h_e zQQiftn+hdN7Zc}a#Jfb}DR1Ivx)6=D!F1lV;mlF!(?<#h&0N=Kb)B}!&L&UJZuVrK z&u?E|i00ioTyEVz44uJx;v!>9Yw&eVRf{Jt0Lk@Qch-8WNre5XFwVkZoT(Ep+UiMz ziOaeQ_gY|u`i=f54%1BC^1|tq2LB*$uPoP`6XtKHJ^S>0*_}=8Wj)J2O6{FeSs>9i zbQiE+^IMTGEB0s03B-AihHJdcI67{i=VZ{0zFmjDP1t@*v@@3jB~5;RY9((RK$qnd8eP$!MD(&2O6^P34mM>v?X&$7mB^ugbobDU)W>hvV73ra5;( zmta%9(UX-ov5!HP4G-24A)2uZglXQ4VKRgD+*sBnI@hVKTY0^))04m6j7%yo(;fvG zH0+`(_pCFv5%+sQn;$oW<`w6d{Yc(Av>tNc9X-<6X6CTodN=E>>05JT9P6!7tha{0 zX6?Yew|nwM;D%PM%Sbk%w8`t}KJ>ew_hm14NLV`w`@?WtY|VFgvg}TDj!Db;2JUYI zh3eP3z$--4et>5V{6c9*=E+F%%+b6w-ywM+j|ZaboJ(8{3zv;LWYV-e88kCyF0%8u zH#1jeHql3w{+%R|s?T~-2R!H3hp-^c%V++pur`APzc1C{Qt1b>x_qfaPF5ic(Pa88%C7r4=S82DRI>iBjV8+8mCv~#_7V1HrPvxvx7)p9 zdTlGx`#t6wAl^n<)gHoJP{JCdi1lGU?XGs}U>wu0wbXPV(x9@j`zcQz1%mfXf;3~x z?!i9Wf}I6DQUcEsc$RcpyLH1pPr3nn-w*pM?p~l@%cF8jJ%`Y!e=wal7W;iNN5--? z7+cTYt`a@hM_Z{3V!QTj$b-*%GUmt32bhon}MSj0;i|YG{C%*=Q zcO64C+M)MV)}6ps<(;SYk|RR2vMD*-+j%!~a+s)XRr?_3(Z5sJ11b%D>C?=Z`@JXi zz}_q1r}IRT`&c0wI*E0M(ly?xKu^2IMRzKFFM4c97~ef6-ZRR_#N~V)_lrQ4`i-8* z9ZK7u6Ha$%z8p#(lgXoqJo4$+9Qrj>4%2t&7tIUMdieJcOVB$(IW=Srxu!(Tnw0;Jb(oaqH=YQIL-1zDHnR&q{QDs z&VeUP8PTah|DlC)DCs7UE=syW(&dpZJ0qPp0vWo9y|>vR>-Bg*X>%({%XNJr`K3e(lTp+@UnaVKAMs zU8+v1boY=;RsR&Af54T)rL-b#tBSHlnG2Y^kIJ8M8l;)~a*PR2&&_C?v9yi3d%_um zcO>VEtmP-M4k>9Gi7a9FX5K2<&iSmdk&VDchMlYuJ6VQ}Y}*Ld1S2^+IEQ*gv2AT7 zZ+Hdi-eHAu7`#h4r!1u(O6dn*cWT?jiz2cW*r7a5E0NQfM^0oOsbL;j$UHKS`K6pW zA-2B^+jJ>*t#Rmsv7vNkkH9&LZ`blhpa)p5`1h9*qiK(lh&-ctX!}scAk7<%jgYbr zr<~ch*ghN}zRnls?2f+E^Yhre9E7^gEVhK4mMC>y~rMHolVm) z4*3Gw{514Skmg}W(Yu{R^m!3FzNpjPJuiz$3(&9WXg_t27*F4;-`Ghx+hT1PqN{#p zt(e1FQ3C1BeV0Ax&Rtoo9ZF(OqMHlKYh-`Q%OKP6UmW7Yy$T53z<&a&&kR#@#{q)nmDV&>3W}crU+4U18$jhFal!-kz z5s6KSNDZ({^JyF}jqqI#-)i_C58wIlolD-c$omlTo=hIm{qS#se?9ywCx&>KJA_`T zyBp;Cb819}9TJf@G>;>qa>Op?(H&WwcOmyZoL9H#x`cCSY?s;GQy2)uH)FAKj6|O* z9N^w`d}^WYozREuL$@7D+XHDm7N*&?Tl#KC!(kD*0%%H74wV)3NRZ|gb4JSiTa2D5 zM$Z)YIeD28k#=CWraQV&j%JJ=fgJ0&9mQHZpRt?6*lh^J^B9{Wx92C!88Euv*)lWSGD9N%DI7?o$#hQ`w{}De!I(wNGgMP{C&0^qv@zTY%`fT5d6J zSrL&pH9svw)6Ai?2&t)Txnyu%L=I`<{fW)mE=*{Q2lc-Tn5eW;bUCz~ z*Ym=3mF2zp+<8u?_pTo<*Q3Kev7hqXf(6G|qHX>sIlQtE9S}teapGRNaPyY8w zUx2sGe|IYXsL5Z~HKSP9L?zmd&Ih7f$XDyJuaLDq=Td|z{p52aGN@%zdlve|+UeX1p+Wid_A(z_MBN-;bsv8*>p%4y z-Ex-+578<=7fM%l7-!ze&vWL!OY~e>bwj!7N9LV<)H?}g{PtZ!djr`Yuys&(&ZX!M zm$$kP2ln}O+Dp4+(%5r^(z!dl#pI!TkzgLqK0aX12=siObxSd0yfBIF20mJ*fsat0 ztr6LKDP(P5WlVrR{cqG$O}b=GNS*e=0L*+3?Pw8GS}sOPe^8uSY*sa)-Cy z-lr?SG9vZBfVR){JnUwyb&&1+7TN*13WnQxGRizzBt`ey_14a-BJx?l%H8e! z{t%sV%heGn0sOtUy59xFbsQLdjoegnh8U!qHegK#EuB_%Zk`N4%iHe8(Xwn=R_X3K z2IxkgS40}DK1YvZuP9}|;O`B*67pkT;h$aV`B_Qjcqzd)Vo&C*Ty3NHb}lPP&1GCC zHe;gUde(V>sXsJz-v~_mAobGnv#$)%j>wfGD1VfEb^HX=yYgalqEBy#$Rofu<%3_{ zF9PTLd}-q$G}=CxF15C*u(q|t&WKzFnES(iU(x14x=B-S?$$JTqle4r7m5Z)3>5TR z3$@-7VV`8~XL2tSoix6F822-orz@;H#cz+uwZM@VQ0|GjGI2lmjQ8nzFZ=UAm^*(R z^v_zoX$73ou}6L+Y?aC(KXX?LT_^h(;CmU@++*_3wc?*=9R%#s{B&!Pz4R=-v|U48jw;q&u5qKlerM2m?VIR*+`eAKCD2t+D%%0U)XQs5~W^ zn*ubm9%ft@Gp>sn*Sa3|)Mmok=Fm}71}6>*hTcNV|}TKlcG=KzS`@fCB}ZEB&l~b#-Y>7B*@E~m?aav@iJyWq}bTT?K`7w ze~5@j`NuuN865D^&#_gwN9o08%c;uGO$H*r)Hc_G$Hp?JwawN=}!? zi_7w)41HV1m@1>sk$uzl+GaoaNd#Lf{jlH4h#l`m+Lxj6Zg|y3;KlgaTL3>W=MrU% zckWF0`}MzTAR^xcCOUp5ezK6bq+uUn?pOC0r}}=u3lX^hc;H2sKkn;*SDgPqGWZhV zuK~Vnd6Nod60$W3{WS?)Gl?=yswf*6*FUE3K2sFaf3I(*y&REK z0l#lxZN@=yzBz{~_uJh2ZA1`dQ0^3!&`9gzzqOCIpkns(Cnb9gU@ zaiQ<#6c44PWc%Srmb?WF`03T&OB;`?2ebAXS1~$a(lgh>Yrvk&rQ7sW-gUklxXhPz z-M`e2#CCbVRWJ+Zdce73#a`vTtiOLo;);R;S@@wJyW`@tmEE&mK zDEkrOaEEhzOOcHArb=oRR-SEaAp^=|W`Rs-I!Pwf$7KS)^Dx1CuUKn^&8JH1*V*H5Flt3cm# z4x38TGbc-K2mCZ&#{FBsPg6FVH5PmF$?VA|SAJ0@d%Gp-#!`Z@WXoaKKfdfY%Bz60o+WPszK$fR)z1geT`Eh*o|z@hfIrve<4ywp zTxa)|Xqq5Rvkut=hW*0MoxjHYcEIly@Sa^K?^a?r4DqhzzJSrYI_EJr*Sop7 zbBz5h8}x<$TQ;@~=;vf;{V?Fm<#}CM@+sgDR|Y$mvc6{DQHEYC>$I)wkEc(vR_+6i zck!!mKi{1tXE^_Gofj9U*J9V5n@Ea?Wc-xL>*(>o3$(Z?fXTy0AK zn6asGhHuG|>wsHA4w%zk{G9}c45KYD(aJP7!5V}4JCHT$&J z#t)VbjO{P!W3Ac{job0fc`IjYemma(;VgLu_<_sEQyJYmLME_wn!ws=0(10)&XTyN z?=mp%$J}ey!Etl18JpWE#@(o=3gTsl5}q7GoDv!HT7em>J=CL&`{TvFzD6EW`dZKX zn13fQPfS3MO{gFb?SqSGtDqb+zxri;^4cus`{#o05!@u84H}=EB^Ootf#%HQh+g zFDmlO-QAq>GVD#`SYwR4H>^RlJY*+!PSdpvYeeLH68e79C_ATl!#x?kjyR_6i)fdT zJ!s;CN^1`5lDa5(q!YI@-+lp6HjijX!o3_7nGu{69Nr!tKzS7|v9R8BS zPdNOn!>>5}7l+4w+~!m1@G^%_clca~FLU^Mhd=A^Lk>UX@PNawIUKph@;}1i`3}F= z;dKt5?eO^yZ*%xYhj%;tfWuEY{F1|ebU6DHHos90#~ePw;ROyab-32y(;aSc_&kTV zIlR;1dmVnv;e8IjIi^C-< zM?5iy%N<_qaNOZ_4*N3p8eazFLzns?=GOI%ZFSB3u&{m*{@AP)&3q?*2>s~@UujM7 zndpx7k{5BmMr=Mi#&2zyFg|$O%z2n`*EZXj`?zD>)|_nC&yX&XUQK5|(WW1iUDTyy zb;)-;LaMtvJNfFnewVkgX?YXhJoA>eb=5T|`Su#WmVJeZ)3Hgv3d*M);a4lwZ5>_B z%OLPEv=_41wDT=poJ}=7>-qU`>O%%pQsj%-usLXOBx`xslIC^YXPwpD8SmtitnEoT zEW0+@c5-WHvb(WuO*@}XqdZfTwxXkBV|QXHpMTQ~Xhi+3@lp+`ZcOl-;my^2jF8`? zmfzCC>-p+jyrWfHTE3&deID>XnO)!9$p@PG9C_-iTaO0X!6!~v-nIxeJ#xO*#MZdF zqnm=tM$@XvCf5w|a>RYJv-P~pZd}yfRL2*PZNk53UZw}OB%0-H%cYSDC-mp1Pm!lw z-(`wIUv^zvGryp|LQ`lV7d17}X#4{9WTo)EUp`G|3v&u><^?}1mekT~o_?c9WzH%3 zEpVmD_;h;puWH=X42K^Zi6UL#SFuGtt8v{Y=S9A6;#4CzNo4Q`#XL0w24b7dj^()FpDT|VPF>zgYvbk#!Gvm+}gnE{z6|QMNx3#mQeG}4M zN0Rolx=xYjmCJzwn;kW@3 zDA_5}B-I_85{;eBsgg8V4yndGxsmS#uT%YYVomL;niX>^W;M07`Fd9IIX%DT*W7ql z{ATV%szd(+_MnsZdSFo5@Lo=yCzAe1;sCK(V4#=$`lk~2H1MgE z^?k&r91Z6Xz6SpVz~P+15GPI8p;mV-$d(Q1RWXZZ-BSfnY!w4CvKyz zQQEARdg^Zj4qilj>Z!kxxchR_TnUev@T-J|w%6b1+fDr%sMkO(`7y(60|tRO_0Zqv zOiY3wJR7Ks{vKs{68a3>)K7ooP=A+9e{)QKM|6;~mQ#nF_u&5={@cKJknb(T`waBm zxObB7M)=+YAKc}@0Pz#VkKGP0;x`aKM*Q8xkKO=$mNF0)C*2@%qww8^TYr~mC+T{D z0YLD_fGUkkoEW@B;fus4pN5-hmt6p~-9Y?Kcmdmho#fdI3;=Q~ap57vk5i6vV4Idl z-CqF1qmQsbU;w^-T2AOYaVPGD5A-PI>%|`@ZaE;Ird-sy4`=`efNjvq!MlN&##O-G zuYRBx*bSe)+u;jtAfIyTrN6P%r}d_;efX=W%K&lW)H9*wBEJUeFbF+C-O7P}ppUv$ zL9ZfC6>XZJK7$H`?WX)u%3cn{fhchsD9<+KshD(q(07uyTKrNDK-?Z6j-hk@?^KLUOYya|lBld=I7z+&JOU<1$vTnuan zZUOEA9tNHOo&|mlyag2QqJ4pxz#^a?SPvwCi-Bu_+kr0uj{;8t&jT+5e*pdl6n=)Y zMBp%B4sbkh0&o)WexL<77q|fU2(S(KH1K)gYrwaG9|HS<*8%Ud*ph)mfw@2xuo74c ztOweG4*-_~p9FRRdw|D*XMtY>Zvi7d$6XcRUBI!x3BbufGtdQG1Y8Mx8u%RWRp8se z4}ceeKLNw;qHe%pKqaskhy#tlMqo2=DR3=tJFpvg5O^GT7I+@`74SRY&w%%NehUhS z0;RxIU^Z|Ra6C{0)B%maIlu+L<-oPT&A{EjL%{cdp8>A{k-L#`U^*}tSO}~FP6svu zn}JJ#?Z8dI-9R7kB=BS4H-Oy3Jy#$G90|M!hy(8j+JO%OTY+nVn}A)wZs0*c7X%T> z5+q!>O~y@s?kouJLGg__tPxE2*w>gGv8oByC6)qZGF~RgM42R$Ws1bOF>r_+D$``T z947B#syUo#=-qtZYbM`)nJwiqM=JOVOr^}@ir-pxR5?xF$JBm?ykE|g2GQ^S zt(PWgmJNIvOTQa?wru1(T$}h_lzwmV9P;YZ~%xm>Q0kI9v+$+pSWvRytd*T^SWCSAuA|4F%CJ|#CWLEI=e z$xgXhZeaqtO>SrEx>I(^XXLZ;Ii|MH%iVI1?3ORcy-aBL$^G&r`LgVhugF*BYx00R zC=bcQ(kEY+N8}r_SH3Ba%D3b(d0f8Dp6vX_t;QtIp)p^!`Wfov*v|+-9-vre@s(JCA;4+d1_c z=gyhX&vkAaw5i)c0t8rFy5)(xyn=Y5;T(h;KRD`T+>}pPD z3t>Gb1KrWv;6RB@SVyO6NaNP+w2S3eL+R>nO~o?4cD@=FjM~<0n%a+@)E#wzQ?Put zY}gZ094uuMo!90PSxP(m-w+|tLgduk*45l-tu{8R=FUz&S!LaPzG`!Kduy`G`CHgb z+KL1+*4{`}%y=>awS#;P8Xl;ZdV|%{s3~5?6X2!(Kw9;N(spmMHTLuBFvc5KbXV&X zbKf7}??~xhaD-qciO%LtY%zVN-J24D5}kvUr&Txmw)NB-2*tY5-Ife?SwIrixg4!& zgs)4#=GBEo&H0lp&F!H+N@DF|H`%z!kInggW_2)+i|VUQB$G)ZN*+b_L~7A$daP>?DuF6v(vrXWP^2h7>AZq`~JdR=*}#}&zX(xtL~S1`MjAZK*Sf#*pALenJv^w2aOe`Feu9hk;xr$}|WBKuAw zkSUMT&A#6%X5Z&Vh41xc48N_pFPkZXKQ*QZZg8jk>4tz5nitjYrbV2=L5_FG7>A~< z?bpS)(^XNgw!e-M7c*TI4Gh#o2&G~rVCDmWRlVZxLqxMw!Syb*-=uh z?fe1uXXLZb(Ndh{5N zKYEPEjvjToA>%tuNBSPWlkkV9v=qS!eai28m$E|&2|fOxq~jeT>Cgg`8NQUJVsDZmhq-!7k8+z&g0iVLrgVxdInQpYUP&p_&Op@NljmAQlOZD z$&2umD5yI;bwSCPxu66lF7*W$b?OhuweecH#u=EjIHRz0mT~C3;Llj02`fEcVG;OO zo;`oc>h(yt%i*04Z~ddCU*d4D!#B9_YaG79kMHm$4);2IzQa8ZCml{Wehm)CeeA;L zJ6!JY42NS5i^Bsh-5!T`JG|53Z4U4MgRRei!_PRp!i6t$c!|TuIb7**xx+^~Jk8;W z4wpC_b-2*sJcq^MH(kDOIQ+W9gATvq@JkNwbGYAOzmFet{yv8vaQHrl?{fGyhj%!< z)#39UPCDG?aD&4>|FzB^cX*k@RSwU0xZL3x4#yn!%RABeOC63noagWxuiO54$>9Nq zpK-X~;Xa3VJG{%`9S(1GxX0lZhu1p1%;EVC&v3ZZ;XH@m_`NHS!vhZYJKX2+Zija| zyv^ZD96sM+za0|J-{kP=4#yo{=J0V2mpeSo;Zle59QNaj^S|+$E4RbXINbkFV!yod ze74aKIgSu3u>St(7C+(eV-EK@yvO0)4*UG#E`3j-O~1>9?{s*F3*X`VgZVbzHs|kk z=`!WD*M%n>_Va6T{sxDA{g$b}*1GWew`}{Za5$d9Z-w(Ob9jlvRSqBL@O+0W9WHk` zbKLpmoZ-S7Tz#kI*?Pwu-H$i$H%rg-d#c3!C+a&6jw1vGlN>yz4bk`t|NH!J3;b^j z{Oc`Ham&wUe)8QS-#sJt)P{X;zunEZ&}W*Cq5kebK1jCr31OZ za9|iv2;@1eH1+2L8dd=KVaiw2D&|+GOdhH#l*Sba&WkK)zEc6E&jZxI$oZ?CKMvM3 zwT@or@F`&B&s7eScblVc0>^*^z|{r40%6Lp_0agefR_0}hc5zaT`mSR{1QORb2V@{ zz|pwz-wf9B-3Dk~Ibt{TFN3vwPXZeLLqNkzX%uZAzs>A-eBXY%S2O=_e7p?anf{F6 zA-ehBjsMT4|7Xkd&+^ZVpXtxc|NmA0t{HZ|-{J87?RI_ge+sMo|L58^deFy~A$HK` zKUc>8&YT+8t#4}Ha8^s}*&Ew7wRa@W>Fi2&pS!td%Xv1}MF;&D{C{Vu{EWWc8C5$<}3t+{S{X;i4@UO?Az8$IqfV-EK@yxZZO4j<|EyE7c#=IA{Rw>UhU1#obU(BSB6 z9gaJ^%;74B=Q~{PaLnPT!{YEu^K8BP9qw~@m%}?9-r?{zhqpT1>u`_535Q!8Zg6<5 z!*Pd~IXvItn8Q(r#bKZSV5KeRfW!R`?{RpS!`mG0ak$OlCWqq=&u}>EaIlR7V*P*I zx#SzR9tUImKOL^^@b}tc=eG}B{_Fq#Rf{Z+yZS~Swf+=-$oj+WF!-Uc|NmZ} z_Ya;(#*^h9zs8yUP~rk^IL5Xc*XGSra=7(#rQbZ+PM*0gZ=O8opW^)2xb&l){|e`y z>im~D|48RQ-}!Y9s!!7Sbsw!yoAbLxj5ImF?$`Axb?f)Z)+-GzT=(4iobLQF-Ppr=j=U1D8J~8JXYrRtH{NtQI z>imZ|f1&dq>il`mKh62GoqxLXzd7Ib&tc9#==|3}2#zye3E}=J_ubw2+U9WSfKC7J z;t#p!8pn5{dSKm7QFD=XD~ z^KYJba>64|ud0d--gtlF-Mc>j%}=*h^`G(9^cTlpxw`D-i>uDL_J^OS9+~s8!|%DV z>dz1FT=JU>M_qN{MPI3U__*)i@x8Z~Pw9E&>8g%L2d?;4@8c(Y_2au1J@Da;YuiYdB(Aq-?;s>x6im^@a9-w{q0vA-S}T`U4Gi-&rCn#qksPKS)cvH z8^3?o!?!$k#!q_NS3Lfy>tdHhY8&=W@20-;-6y{LgnjAx8x&2+g{?M)?7Jl%qoA*D^bpF!*pR9S$`VZtjacKSK zi{HNb!sD<0%Yw4=)=#gV(|6Z#Q$PA&^DjE#x;^sN508Cr>)N~tUwG-~m)?&lo-^^OLw{WH+vVF%JLZm$Jk)o}v$tP#$1V3)ywGxQ@tw6dEjjhe z(IclX-#_!H%GGsuKe=)GRi|d(*7ws#KKR#{9-VySFSnj{%GJj`9KZOG(p4umuY2p_ ztM19Y=7YuiXa4l2C!cyO`zLoildtXDi$PDv@8IvO9U)#gIcY_K;pbrm|Ii=-7+yH}vtt|7}c`{7kRJ>v;bJ z{0(4#HSg1aUjX`XE1tr{@c?ec^MJc>E4~c42Djp?fnMB-?*tOK_1(MQGs(TgZ(!=X zdY1vOL)Z7(N=mF--&I@#==U=eUksGsR{V7!8@Il{H-gDYf3s6@1#ld6#mj*ixb?li z>jCAX_|HHSZpCAm$l|#5y}z@8(i-Xuz6sFp5G(!;u!A^?{{UQqTaE6=1DdbCBe)6B z-$PY=70^!{#m@l`;8y%g;4a+yp5Fh*-kZnOwEgk_r^(zs#}G+4RK{?SvD)jPRD^?2 zN)D1_3YmvaWXy25<{LuhDTKJ;m@{XV@gQWloJxa=ey{i1JNI6n-{bdvJbwTD{`lRa zm*;D(z4qE`t-bcz`LX?K?$1R3vT@d?pLEl3> zF%*h`C&o&ixEj(Tp6=T~ z5UqE*$Mrcx{hV0N3-^yB4Y4Zp6rS$)T>|m+U|Da`)BV2vAzF`gPprF-xE_h?A%!>Y z9|I3SGI+XY_AcZNPi);CZ3|DF06D_beZ!w2Jv{MtFZ4xt;_yCbQ+OgCaV{GTPrN6^ z)BU!u`igB!_tEA-*O7)etsnX@JaGXO4^Q_T*Y7X&L-3sB={{eV0oYIY;GQ%v0jdN~ z)c9llVqRhx^a!5rtG*1;_DDP!fc8Xs;w{Jxp6+-41}%gq_8EwN2u}=#wD5G_a7v&! zCeVGvv!P7H6R$vN@WcmDGCVOP7AvrLh@N3f%o&U}>4y6x!Kzy1k2Fd! z6ry#P20k4kE|>20{scWj|D^k%`wv4J%u5^#xxo_`LC)~RMj_a);EAmuidTb?(2_Zp zoXX)S8{&y=psDagH55ka!F5nbcT3I`cnv(!1ht1JRtZHvfhRVEs=*VRL&eC4$RHy; z(P9Mp06ei1lmbue4ef*1f*DX6@*!>vLmGJE?vdE0;E4yIb@0UNP$WF@F%$z&%#`AZ z<-)~yy0`x1D6u{1K6AIxsJk!j)dfSL5P0HA$QPdY7-|nstT7ht3r}nTDd34-k|z#? zictpQROk~taUDeI={W(Z&^>r!K4gF=rjA4Zrg$(NS_Mz69)a@1D?ty4#w)rf-)g*A z7rJM^2%<58PVg><`1k;3NS^L__n0Wg)4lJb!%7<1?u7EN^Mw`eQkl{x4)@Wc<$J$QQ7g2!C!FM48s z3NC?M;E5TK5}x=CQoze%PzGowJaH5h22V7fhkXY;JwM|tWP&Hwosa$uPh<T5GV|uo;R=W4u%C_O#v!wn)&&!`x@7uyw< ztK5g*ry!R|^k;A%M9ZRQfINlhJp{x_`|-U1@x;Z@Xn5iVC`PIwX1(xC?rUG^Nkc$bhG3fgFW+dN2#3GSl-& zJRypwXLdwGye^Bfx6@U84B=nXxBCk}*C;fd3rBzWR6C;^^$9a;sS2KG87 zwGWsM(ROVFE1VYNi3g#Dh$mivBH)P+Bu{(|1tH!9euEleyCa&P!7&>=u>|^xG{in< z(I4Q6K)ZY5 zc0_y+Df;7i7+|gYXcMF%wtzC=RbY3B-U&!7{}6o)>50EV&hQHGBNPH}0&UZ=?ZYd< zu20aP;WgmcrzjiwXJ}`r(g6HU0-C)*c@R&m2wi|zfK4GC(hw&>T6p4fBeo-WVgb|$ zo@n+G%Z68g!(O4S;3L2@P$PdlYXxMlv0QkfKa_wp#30B7Pb`FqJ*dx;`cgK&uR%2asB`huJSaI5&n5x;=3)Fndg2Nw1U?=-1*O0ftqV|3cw$Xx zA-odwffNJrY#p##5yl+E6YD{#@G5W(6oxd!bjS~$s3=C+;E6tvit+&iA$xc&xByCk zCpP?ny1^4WK#}ltoyc0K7@l}ThIh-t6Vst2cq3TO%uJ>Z#BUm)o4J|H9-in8Rf5-m z(NH2hF%?<`PpoZeCX0Y4wuZFu#7>X~UIR9_GULDFslZVX?RSWS%HSQgNJE?r8Q^u` z(6UGm9|0;WqI^M?oD<+j!xJ|`{_w7GP4S*^c;YT70iL+P8Ep$s+yceGCxW9|pgl3RM}VvF1O0U@Hy%6$MF!*9 zRiIgGv*FL# z1UzvUq=ioe(;=#t5v z9X#>=Kr>kwJh2$^hbO86kv}|f3zP;=tP_m#!xP=1ICwP}4K*5yaR5w$s=*U)Kr(pF z!J?Oe?Ill)kUX)f7JUPGD#4}DI?PLa0mZ-*Hx0!+@WgG97M^$50>! z5P0Hl$rJBN-U#j;kNz|Qbp&H3m|;Cwa_)g&0-p%}HWAy%a6E?&bca46p4fLX))zc+ z5Oe{aI1NgI*HIi4iFt|HkQSbJbPDPWPaHZGWq>Enf|T$&Fae@^5wAh(5KkG|d18^|iOpw=^Ad+ho;XYL z#4dBto>;C1oCu}j7>THdG7wKZ2VI9Jrb9{a#ENs#=J3SrPz*frBoqm60PD>Y`www8 zWRJc?JUSo80Pw^#r~v7Sa~6p0L$q3mZ3bzG83>!1tp z#BWd{Jh9m_Y@hJNA(AJqmOSx_(Zw>*I0E1C7SK!~)14o>;U6^@1m6ZZ*SuZtAv%`OfYY~|$z~#62OfdqMq*zEW`k(4Dx^{E|EOZdnd*b z#1pSVmEegPyHHjvi})GJgeR8YjeQwB(F58CPt-th@WkB^ZNG`2`yPy+$WsmWg`UC_ zmqMxV#5gD!J`wD(SE?^qZ6DeM-#ds7kS#p%^Z|@Z@Wcj*SQnU=*d5A%*MP}T2+|NI z9Y&t;#6^%AUJn*R^u0!Q#7s8tDEa`!gEx+28;4H=t0aqcQGy#zh&~>C0BP}?8`1d` z+5(=Ka2oq3cw!19gC`b1Cge$Me+J_xyc%>dU>>9)+NYYybnrwC6ah~xdj(zpImv^;5Up!1I0>Tf^+X+%hBU+!5`#c=#{hnS=o$=Sh3AMzdSY`(4X*-UK=hlK5e$AImQD8s$0yK2q#@Qd zp?%?rYA6Jr_&XF29}k9QW8KWeF$35&M=XN|^n>VkKVkqhb*v@lBbo+Jd;_WBiM_sJ zJ;Da3Qn~o;bIPIi6FF-*dp_kOp2^74MaUcEJ-B)y!p& z;E9RQ1$g3JC<)#O(mOKg_c!8Vr~vWA^-v~!JXi>|M;c=Aw2Ob6c11Q0qNn1^=g^Rbnq%r19?wGJAe*#u&xnL zYz}>*G+^DjXhZa2CFlw5LVDtrdgihac;W-d58eott&jS`6K6Q!eSYx7rBE`wo(NI@ zAwGtb$e*~-5$}_R*Mll2l&>$!0QPAhmO%?HfkKdmShFG0z!RH7YIqf>Z6x+>;#epV z@x<=3HgBKJmEboJNZc`et1>^=#eANwghbK<$j=lx21Gkc&jAu@Rc+G~a81Y1R zC=;GI4tfMn?9c~ghF60L{%8}-ORS?syTKDXK#uTg@Cd}mb}$n%Af7m82>J{>vGGu} z6+F=!nhH1)g|d5!MlWBG_TExW6M# zgklg+oC`(36MvUHahv3c8ImV{g0x6aw2T$!Re-8x*uNm2=m#0$i3^saUhu>?C=os$ z+yhZN6P0?bBlHboJII7IYOoNZ?N_z}`wEDTEr|^w4bl^jLG9s**P%x6#5<5Jyb&z7 zQtW%gUC>m-6XSo!*ac5al{_(1@+NTXYSas9B0&2!C_lUsyuA+ff;WQx8_<{FwO}Yj z^&)P99N~!>kOH1K;Sbaop12G$VO~ABElwQI6Tx$k9%+bgpqcPQ*NqsL;EDYqe|Taf z1c@Fc!fRYd~@EN-$&_#trxg@Cii6 z%tp|2yOck;269IJM8_SdBRsJMB!gFhJ@(T!iSmHUppl@3yD+-Yb&OFY#T5SPN3Z|MPwJ^sf82 zkQVX8LP!HII|_ds`vvmJXpC>JbWJIgiitE zE{N%g=OH?7yZ|=5D8@Ge10l;;Vu0A=_wt zp9KT2ih0tzAE!aIEIoJ-@<*CPaL6_6Q{Y2D%j+0R;gw*88z?_~Jh@ zTL=NSKvS1uUk^@66XREb=OJ2_5v+C(+bQJ<_Pme&46gxQA7I>scLTRQL_dK~0Ea$8 z+s;9GzleNncr^ptHvDza@eSGso_GqP zG8@2Enb=+sPn5k!{_w;>5aq80D}F#*#aPPJ;4-KYydI4Dh`tA}0}nz}P6OEQFVq+D z{@|X^7z^O{ftSBv-vOTrTA9SUXut@F)&)^7dEx_z*AbkMCHC7$P?aruVh)suJimf= zIbuHcU|)#l4FY$5MSCI5E-)RUWjzJE=VG1Ww+>%09HR2mJ3mL}V|+mR(V$R>{xJ`A z2aiD1{z+h~B9sI1F5q#=Cxh;%n(*MPkt9lRg7$=X5|10N5*g{Vz3!47y2_!7jsfwv)Q!+W5vriCmX z@x&5{j$veW7P5^H`DCyVqVFcvYFWrUYg@>!BinD z@9;*v3GCsFcfG=Ez~3S2hpWI3lK%u&XeP#21HB+>6K}9abF>5IwFTQl)K`h+@vid( z#8(2lKuMH8I0>Tsr-IG!F7y<{tH30P%1nF&QU1h=tAFvxl@xI^<$)|xqt;N1X z^lf7yb6kitV41e)1Mua*br7u!qIC!KGsG*v&mFO@;Z2~et5`N~Hw)QWcd@N5fVJ>G zb6T!FxB^N-`gm{%vyk0`4*`AE=&SI=U)EB%Bsp0Q|1M!Y;8YhFmC`gNV9k>yqKA8rZPsg@| z_-fz)h}y>=96G}S*9D_q;0%b;&jc&a6zftA%!iCfQvi0KCC=*$?u97*KCtgRytA2p z3k4g@M_+|+1P+8~eFcG?7ozTn_XYPY5`7Z*4Wd3=40c&8dJnMN64V9hiS`iX;{l$7 zDE$Sn$})_BNaF&wUXD7F2V3hU53Yu&zU#n{6=J=JO;%!?MERY;m(V)QYXXZ`qfOw6 z4r{P1ct@}|MD_ItM@oJ)xCo;Bmw@HgVhlujVnc}H8-c3zSVxE_9)&1A8C4<3fv!zY1N;?aii)xedI+j8_(a83f+1o1JT38LdMV&Qf% zz8Ji`7wv=iRPgshqF)96c?4rV;!{AIB#dM5w&2pEXb1Rp;D%!svZwF~;F{y87sZ2@ zAu4k!m@oMPup!>(P4V8~r4;P9C=D2Q2K9s|dY;3&p)}xJXeN9Nm;}Ya6Jsul+Y7M- zqV2ufC5-bBZ!1tQd19~2VtZ=9%v96``4Ep?5!ZV%_zt3ZRaenxu8Dop1)K{}d_36i zI{H7nKe!yCcs|F-h{oo02DHN}gz* zA*LtVOP<&kdW3w4y(Lea3Q_*VO_C?3NSd|z^Rhgfm3vxBW<@$mnD{dh-zvZbp#RQ{T$W4u^x^Z-&mW@3f#rvkS335Sr)%CyIR#pSRUg-fmrLmE$sE%kh~FKW9G1qZ4_w&29v+ zKwnpzD2iUbn=i^{<hEm zCpOb~xJ8>Gm1)_vP^xUXqM%1?s;`69ePre9VEq8dmIt{XKvJLEFMC*=^<5O>7|+|s z&)pw0VwNR5!sl$JbEy2I&F?(dkJhnb?(Pmqe+8)uxP9+{|A^0wNzM*6DQX866sV| z%n8$IW$_h4ReTRmtzy+nY^mA}#dL`GcPeVZ*9N6ehu(O$zT#@#mPhispZAdWyy6{w zwgktU-e+IBWOtG)oX^w$m1v$!DAn85I?@{1bdvjHlHC6WIhw3E8!33syW+jb*HJsk z4@uElq4NINJh6d@+dYgp5_m^nppoHxDF4Xo#-JT|BU-IP-txKUc&NYCp5_!wd3-z> zs_ztg#k2JjG_}aUYk<>*^>!Y_S*<)*yk;<+E6vEUH=b z*;d$2eB|D#K6hXG#EPZ;=gjXPV(^gWr)Ky5S%UYcFy&w6^^L7v6O(-_202E&A7>>^ z4Gk@=52pK6DxKczf2Y%?y$cDj{%ztp6(492ae=21CJkfFeV0&qVYB+EFS=0f`vXNK zCI86Z=6!|I@#_qnd^vta!cb{bC`R{)ee4};-K-*NeD{NIQ=6u6@`aO-2BYT#r15q* zM_Y~#ZG$1uo)X4hjcSg;)|SuozK6p#`8*GvskQabsK`o~KbYpH(HCuejusx1LK(Z- z?B@YoH$#KAHv;0IE%4~}=vru3ahdOT6{0#n>qC7AZ9(0ghA@TwSqv8bG*|?@#z5e- z4>@4kCxneihYc!#wp7~GZ-Avko0Hg-wQr!jh_+tM`Ol$E9M(4Scz^5R;&fzLn#RBO z_`m1DFh@h1;y#42DZl_()f1;FDO+3`K+2{>=L$2mkk=aH%Mc~)2@q2BVb=ic}IcYfZn zHd`otML(?M)`lLjkI=QIAV%C{j)C)$dtezhD|udN@_FTd=2ceAi#C|j@?oJJctYBT zw}6w!G)6B$mzl!@GtmuE2YzUvz@Y)WjW?!v#9Cj(emOJb=J%5K2eAc6+b8mSPy1_L zvlnpk7~C~Py{=G+rl)c&?3a>{aZ4pVKr~>&ujWNe3+dy&wLQ*HvRioArpL zs`5jEB?v?gMC?QuM0v|Stro&gs!q*i5C^9Bb;M25pDw1E8lDpc__$95cSFpYgX+7kg>GFB~XfZzWvFD`<_25Mm z>thv-c;hy6!?_*q5=DT%91 zO*pBH0_@K+9>RL{o@bckOC=~>J{tBAMpfT=wJRX4huqV84}$;fK~$}~naN4MF{GEgX#!`D&eEgc|t<~e?}?npT- zweIUq$p`#}SuV=wPr?GQ*sC~D5s!*XcNDaID^8=sFpSy!$gx=rYK`z`Ec87cJXxN_Fn`d6FQgiB^`~8lQ%^C~TZAt_ z=g@}K%+VL9&Ck<#gj6=(JXMgDhSQ(cAC?(DAK>eWN37KuAk#eUd&x)te{3JtkHo3lX==tTOzrsh_U-LzwHxt~4Po?T zZhBX=Iu1jFVk+{SNOK*axh$!@{$1{W_T>Nk{}(NQ?M{YGUxs4>8O9kI#xfZOY8m!b z{CSn-!TVGj+Z{Xol z%1Z0WWAR^U{Y%3IQay0rFaMO*7h$Q~r73BB{PHn&ZvK{)#<@*v^QA-KSfMm5QT^|* z>1TQ|-uQR;|7HPra>&o={rKnp&#*Xu+RyNY_4K*&Gc2aR_%po9(PyQj&$*vrK7YY- zgP4y@_MJM`|9tqDY{VLv*ghpu|C0odgs5N|NBL@-7^8?9ucr%$iMtHTiRy%#zY}G( zPOK#=4V(Yq;XmeVChF1?w-6H-Y}!VQ4_v&RX!4KTNtDeE+D(jj)_E^cH>%-&qCr*R zAW^k$QXAE$7d=lNu! zy7S%>MAev;CyC0`secl6e!(fkw5nZB5w&F-o+hFkXNam5pEwmZBY3+-%zntJo9A_w z&)4KQr(#?Kz8*|{R&y#ITAZip%Hr{yiRWH$YMb`BK=G!wCpnF88u0a**8X?S2vrHE z`bPLAN@tWm;4~GeFH=~yXfJ2H!6uc$+W08Wv_|ha^#l9x{-SLAC#NFC;VNI=r&vz) zl^jle@4#ymA2I(NrzWiNbqX8umvgGyK{ApXrG%D)|fBhH0(Et;R^k3 zQM}gn1gCoRZ@eGtoz$F~RrpJCt6b4G=kS5vNLZf-~_|CZ}P%?OjTzf9A!hZ7_vX>W?UW+U?Gq`W0h2 zb*(pW8jfES!*#MajU(*SDZOHq7pHpL1Ww)RjhwPkshmcK98RsF_G3z~S9^<0m>}{~ z9H+tdGN-C>7N@LEttXT|BHx2ke{`%!|8<-?<5@A><0GeObG4_GKK`LQr}1kjC;A^} zgfW>@cJL)<{ICkoc>X_Haq6Q2IhF6`a;n7+6J2QxyI$SIkj=k#qegvso9|6#Q4Ceik!fi)^{$auE{D+O+f;u z_S8|%_-U6oRm~o9DjvNP!_x~m4OPp(q2(G9YH})@HQ|))@5rfj?9QqAJ&-f)+bB-c zfSH_$`iwLmS*JMD4&C6?Jb%U+Z~j?~uk(Y`)ao~WykipTaQ^G~ht>mq z26oYy2QNJ8erIe!Bixj zg8cs7Yj65FOXWD^Uh~b?J$p}oclWxa8Go%$b>UU>8;9+;bP%d8+C3*A1S63C%d$*b3J;GTi zzR}?K=Q1ZDpwYy${-|KmEJU2QD%R7{{_Z{FREZubTdDmUtg?C{o2RE;;E?Ah= zdgHmmSEw-0<68D6FJV%Zm+qH8R}|JIVuT)c00p~_S6-?{SPxgSo#!xa0SHMX}Awx!z(Ps_Fwd{keTZMN$uM7AB(Fs;0Y zkRF&>HSd*D7+gozI?~+aKD^bKxv!qJ5iAc*?@?9eAmlnWOfnvK6Uq&nUH$j5&4ef6 zeGZMZaThw-EpA=B{x`wC)|ORO6MIVQ(Ng#}ea3FLn@+-jN58F-*KH)soVRdLQc2v{dow^H+Ca-K>-Q7bt^sTD8MyQ7{H10uoc`H}Je~;W| z9@; zE%HC_T3@*4aOYUTj2^<1Sv4=#S??v(T-ou@x6`@_7lqKjy7+b!+JB9yHn3J#p<|^l z`E7f47iwAG2sa;GS+Kfwv(3@AOt^GZI1^RWLh65laQ@HSh9BFs6b2OLJ$P5qOK5+j zTdG@zudw3O`8^NKdWm^kzCSCYm z>&`-*86A8d6?h2Vn*z#xPE!kQAGe!5HLSK!d~(J81w+~j6W*Pag}T%imeqQIOT{_} zWlw~rTLUG{&xUy}4kbb$S+4_M&!u0m$FI(5`DJ-${%{twytKb@ZwQ8>3L)bXYx5vR9?WFB! zfMCBQs#EJj1B7aL|HGz_gN6JFE&p`d+)3z@d}hYtJWnC3@id>QuYv{tjfyhHn?b^n zM>FE1jX^?k4cm29ej6a9S+q$%)}*me=h*p&v#$9IkEd3w@V&67u&mLA5fk*m!lZIj z*L-O?NYL!RQ*7PELHKqy@ZrK9E<&+ou$BB%ps@dh-e$%C+bKKkKPN-3P z(LkZc&OaYt`K!J#Ut_kVyuQ0o(=KpHlP!IOdHcSb=1uJ=thm(iUU9F%!u|>&uR1#R z5$?9pH?BI|PjGtJY{&TyfkN-img;9a0)_ICH6GTf?I~366ZJhiF-WLdzvm6jp^kz_ z`pJmfJ7G(K#r8y32Wfmz32uSI2KE~fEW`%8 z=P%vWT-as%*wt9WU6|d=a`G%~piq3S*1HS)`v~c`hfaLDey|W8zD!m)(NCCH{#yAz zCp8sLZm4*>M|`jlxn}KyG;@Dpl|KFY!mc%h`Y%rGtv=32=+$md_L#R_g$n%=g8PK_ z6i!vjc4?8;Sy(vUa`??#U4>--W-&{ScMz_0Kj-+ijhFDk?pgkpk6uE*zIg${D1V_x zt*BwkUfTD*Il3aQ5ya^g3zRvdXr8f>Ueu?oC^%5f_Y9y*8DkRDz8ox{V zNQ{@Lmlz>YBT+3;DN!cTR4nF`CNWWByhNSE2#FerDv3&oGKr=lDL;t@iSZKk5+fvP zC8{N=Bq}A!B$^7Pd?gwr#!J*o)JfDz)JRlIR7zAxlu0yxlk%5nkQgsfFHt8kLZU{Z zTB1s#Qld1aFN~1FT8SEoYKba|N{I@IvR`QWDwRiKnnZ)dM2YdgP%njb z5+fvPf1ySSt0k%=Du1Cu3dZEWfBc!nQ7iy$%Db-R~^$V3!xReShTuPY~Hkriwl+q}L zOPMBxOKFh8rA(B<@xM?ng-fZE!ljIm!ll$o;Zka(a4FSNxRfd>TuP-BE~P>Wmr^E$ ze^UHyfc{q+>*8ODU@BW|7G>1^4-?3smqtZDf$mZwX%2$hGiwEGs3xw0`Ve!}F6XY5+DKUQ=Z zv?g4`4&Pi|*70Kyi+byloKt@|bK{@Utd7wPe*&{_Z1-w;-~eX1%2j>BB7|K(YBBLI z!)Ug(M{$nr3NP06W}>lAdN8vLdGkRQFp|~2*9m{_?7+y;S<4RxvCvH2vpS2lm&O0X8op(2eU{~HZDmU!K#lk*o-ptV}9Qr$_IBG%PeMGzGrwogf+id zVZowSUd-aLOMDNDaMr(3T1woU0Zh5pKY7*yE&K2^xchJ8hqKhP zb$k3dE1X#zoxNSXe;iZyu8=tDdl$C*k51Q?z4K!Uc({T`1uZ+D+bC%Hx#6tab;IGX zxKS*+OU{WOQya4inq#ijZ}ns+K8}c8{W6fbZg@IiNY4=V!kX>rem$JcaBOnzT0#S+ z5kIWvy44*#Dh4z2yoTB+^H7##9o&6hoiXfHRd1(v!#lAr)gSKe8ajY2yg4A>yXi1i zW_O>ihtGzyYOaT>x*lrHViqYszSR4%v6p_R{M!#@vujnpzQYsK+ecSzAKjXjJ6^-d zYg|9pWchC??`jQW9;SZ68I*T-`AdQ6@6_yF%^tcVZv)u5VbcyCOC8S4zq;Ogd}1tX zS2WMRw_Pu0KKkL^L!Y&*fpXgr^H$+ZZ_z-#Z;l&lvE@`uUX_8&dCk`ET{ecYwYu&G zC!;y*uIqf%vXLJPX94Da^52V+hiv9Z0 zm*M0y{)V!N#|+Jzj~m0RX6A&y3h2$uaR-B^c?fef<#jP1H;!4Y8&J>eZ9gVI6n)Ef zStzTbG{avjR`={I%lyhgEO=c+$<)k|tmfA9-_xggv9i-v2i^QIguU!w?ipx3mW>z| zJ<$~F$ISaYUaDIa%IY;e&@}2&JLcv8d1TBRtT#6YLu>QVtV+bvx!FsD9a8R z&Z^i(SGJ9A$+U`r<3bt*vxix4W2#t>W&xI|rY>#zu<~|2Kb&?8Wywo|p0N$C?9Sv3 zHuk5rtiAWLFuU4g*+UN{{syoa1EQZ)tuc~m{)m3x@p3no=d178S{uSD^G{1=`q9a< z;PYViqn`15JtOv8^VeMeaC`tusoUYk!w(~wzKgDW|C$=ss_D`?y*q`nH8->N9jf1% z&6$)mZS$+4>_+A0VYf|=tVf+GYZCt$%wC1356TE0%Pco^j&E!^kkvDk8QkOeD0Z`# zlVwIR+Tp^r51|7_vKU3@a`j>~to`}>lZ2tTF0;FONt| z|MH@%dV%5J=}qc?g|C}_PX95d>2NQb0sowC>fC((&vH%84u3xJ>-STo^NZtc|DV&v z^%wm!ERJW}e+ggw85Z;5=iy4T1o?51YJ)RpT4DgF!gB$q*8iwD{nKl4x>;3z+!(*1 zGp8zf0;e%>n;2ejk5lJbh95U;r?(gBIf~P?aT90!ygQt-A7%LWgT!)foT{DUMLyZd zsowFNQ(2)p|GuLw*ON1G>wM0%$7eVr4u9j+GpD^C3)C;q)$pB~1kezQ*uAIRcNY}bze zPN1JNi&MAa0%t^MCI0(FqD4PW&8SVB`pubQ{MOd|_Yu?NC{BHy>zrwS)a1X%D6>Xz zrYVnes+*PNzx$-w`isB+yxq;IT3gI%Y%c!p6n`**|ITErRmiECtl__3>CWyf{XGls z*LeQ)tnABZp^5NtOVfSc!s+>y_3b`tg$XS$)~S*+QmD~Up;)@9t6+ELV}d3y+udSL z=$XJiV}x&~PvmYb3=>+8nf77Li%>xqsN1_LO}!FKUI{xi=y%d>Adnyk?%e82 zae#2KQ^p{dt6{>+t|#A}el$b~Kl#1>=JEkT^sduwEBW^lDnxc#*ugzesJz+6DQ^8x z!8O$^-Dy!M+UwclGW|LUJyione{M2VSYWYuQ%Z7U!O^|O=D3t`LYr5wbuo24g`;hT zU%C2csNh&-U`CUyPJ(`){CnQJe!|G#P7U07bf~Z;>aX0Uo3uiVd%t$skG%x<%sPuA zO;v<7ojlrauP{m&*Ll^Ntp`U7Ys)sdqkJ(^@T_B(Uqv1wR7~prn@|2o!CD*BbX9s! zp?}wFxsRWA7kt0QJt}by7B zm0r*H_kdt3`P-8-Mg2Qm@XPeSFOd6xalIO{|NHtjzMQ|aqu{^J=l(zbp8KgcJk_uJfxpv>-B7J{ip;-e@?%5 z=_IbFTl6!$xp!7s2OPhYR@PK9DAh&h_A^`>5B_&O+<(`@QNQ@_dbt0thogR=|L=OZ z7t{{_T@Ux)^>EY={<|LTzw6=tyB>~TFZkc}aQ|Ho_uut!|6LFF-}P|+f4Lq`I{(eY z^WP<`N}(A}ftN_N)83XVey|M9+U<6cKUm}&vnw43{9qI9o=#iQ@dvBJKOjH< z{evx@U-0_DoA2yu?f9o=SHH6-(I+Nr4}52fqv|+hul&wjoRj^IP5I6aPne|J7xY~^ z|NWiW1r~2}Zup%=8pbX^TIoBxbjBlSY<4lL_=m-!{*Q{;yK81^#+)u@D_#a$9Z4u= zofj7kY!F*4o&PRo^L?yuuktTurh@Zk%NgS1n|C&Nb+XB9E4&!=C%8eYVD)yhnY?pefc zmU-08yIqlV{=0}J)K72Oy?haCbZ|?`{Om#&tX~zC`J|B5inwSOaj}qn|G1z*4O}&8qaW{>BPzfIT~Xc=}qm0v4Yz$E;fuOy{2h>HK#AQ}Ywx`K)%YfxVsZ zd%Sr5JD<%oYrgWx>3nwnld)X={rN1m!?96&{>W#k2~(qe7w0qUOB*Veo0iWG?RLp{ zIwGHqnPhhEYX5xc{C7TE`lHiDlS@8JdEPaukz+n9KQnI3)T;T?`R{yILz`V)o1Mol zx9c)0|79K<5sg@_5|ITB@ z%^JIe>PF}g}qx`FP`3||P zyVb7#B~5afO~I=VWozfMix(=ttS?8Hpa0HffA~Hdx;*DA>tNMlr}52K=Ii|QbeBh8 z+1P_l3zDyXWiOZScqW|s$^y^yiGOhLE9+)9d4JT_uWUrx;ny8je`Pvvv-(yGzp@$C z4tTws{*{Gl16*#7`N}rj%DsFI*Tr3(eEC&+->fUz> zZT6M*4hU{=6xYR7;~&gF{I}b4$|8N$L}pf$!^$4q-g)`w9A>^dBgOeu4!bmI&x-W> zIqcou840VeXfOy5_LMDFXsCI_9v#+Tni% zwa8&-6ivImcF1AJKEC&#Vw=PCw^e2}t#g>x{6dpdvm6%2Pk?8$?zewz>G?5RI{%%` z;x*08D%=O1qk9xx$!3+?4P5r^bT(7-6X4m*>TJ$R``y`WQIY}D!&6qw-q<%=I{%%` z0<|^P9v8CNiER1Q;X_FAFrFu-uCm>O|!{n>4p)Nyeei(=fAUA z1U~_u#e9>a+`fLwVv)(r^~kVofnlEo5jpp6>FA;WHIZ8lLprb%wkvWf8TbZcNTNKQQ^12-dW7i%Vp_rEQ?i6 zZG*oow$Jd_qFCoF)><{_oxejCYv8@JrpgY}`6r9%6lSN3$|7v~p)mb0v8_%=3jfMA zF@46VHE_o+l|Keg*kI zeN1@fE7DBes@uA7Yy8$-TNAg+l>b*dcL*aX5JUkKi9{liNF)-8L?TBbM-GK5{X12k;v=4&7Ih+IemkHbW+LtKkZ1$?WuNWfqv?jb{~n`+v{EjUg)b( z#VS>~DpjRwH`BP8NiAwqhq{zcA;pxEH@aQLpZ{jShX6u|Ach1|$RLLTO1MDPgKm#p-hGF3IV#c;r*y@~p{oC!BJ|ITu{=jqhCZgP;83hJiJY zJn_s6ue|fYCtvJ|FM)&-Ng}Cal1m|_+@zAb)bf;{G3M>pw3Z~D-e_DyJFlbYO=rZTm8n#O1|nZ<18FqiRdXk(k& z+?KYowQVd|ZAUxV*)Ddqo89eUFYEPwAM{}#^>Lr{X`l6VzkX~V?!LaCcLVPR-VOXG G4g3P$qKU2m diff --git a/epyt/libraries/win/2.2/epanet2.exe b/epyt/libraries/win/2.2/epanet2.exe deleted file mode 100644 index a5a04b629c9f6a692b5dffc407e300bd5339bcfa..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 11776 zcmeHN4RBl4mA z{q3K>XnT;u=WS6ApR?)wpV+A=EJu56MmX2p4PmNGjyg3h%&0Ex!X zpxZj0$5nP7wm?!GE=!kb}Va zn6v>Qx$BUoJRUA5MPd+i5kHPZa?6Rh@^~1#`3m*_8xzy!@C}R&oiZM=ztw5?^*1=n zeEmMBu<_2j#MF70sD3D>6=$2Mp4Codv)M-Xaj{=<3O;pMRNod=OV)AQRg8(LV=n)_ zTP`buP7zuxpQiK!Qo8vtEz7LqcUV!PI;MT|ll4zf@yGRhHo`sub{Se;fS6Am64Qo4<{0HWV>eXV}>P3TE30iY!&Rsw`i8`~67PQi!HaMLF zFRJf$dM|2?>PUln#yj|7iB~;3s4Z;BA01e@d*TihaX9#)Sv@g$ZejlE`%bhsTz}jf zK4Gtbj_U`}h!c%K5HbzwQ7^B3)T^G+_Wd!Ng)QGH^r`F0Cd|GxtQOUcc3;|h7Db|Z z8|LUWY;NeVKnDgo0RHZGlXh^{lIeGVc4sEmrao$afS66htkapx^e&6(R;NonnRO(& zCJ>Mdklb9z4YX6Q)jj&ixld^;IQ^8fnMShj7!9$1>f*>Px>KQ$ZQ(8mLu`#TT*Vly z8XUBTE)Hh1Nz;%xc-(&O$JoiIPU-W_=Tm#S7!AJ-2ZLE2A^dg1$F%dnxkP`NwhBIM zS4K%_OJ?)FZwAo*)r{;hy`lu+-I-(yr?ul??#?JB=vEY{<|Vaz2>UK&cOye%4-!`f z4$Wq58Brc8zBr5PD&z}n=rAaz{XGh3AEeG#YF`KL&Y-k%h|^0f5GVvwr8QZ3t_qs? zp23=={blEyPw(uCd}_|N>jn&>r{;p^VQfF`KQJbbjH%Y8HCTxsm~6Y2pmg`~J=1?_d#M!ROBE0<(01NvvnB0|LY5(<^n)Ibrd z)2yhMGzSP#Ez@QJ>P|(qXl;MUW-*=5V}LNwn>@QNB+c4yQNw-aWs`OQy40bG`H-Nw zfyA2Lo!F|7c^fkD0qRz#M^qK3h{1LFjrk~sO?&mJVL;WBS|6nM0zOEP&&x1W^9hl$ zs&i`&KE{1K>-dOUiY@SKAX&$Mb8_U!>;gs;%l(QS)2REs)cM-OU&0vca#&ci4%2z` z<}ysjf$P!#=V=1q9BRdWb3cwL5&O1QOl2_r=J`acW|=_0`4`vek{;l{Le*jO&%mK( zht016qq!b74;t72Ru&WQ%h0?ZrkcYACTjT#U$vTu-|s6Ba!iw`T9@aTsOTwyg;@*% zI#!E)>(NgGjOp2|<0M8)RDXI2O5HdQGUOWCMD?w#V~|SF*VSUG-B}9@e9lf$MX3+V z9LIsnr@leVI1!a}l5BMfS;u3jmK{!I^LDavE#xL{fUsrgFl=Soy)cUV zjxwJ*II!Vv#zL#jO&XkHj~KM>1cL3onn3=EzSR`VCjA4&s1#c5Elalgu0Lvf?T)!( z>S&pmf7^hSy(a4Fxp{xMNbr|zyoaL$dD1>ojolVZtYOu8@Y!qaqt((Et7Jxx*iM9p= z9!K?74FCE%4qx%&*n-T(u`KtfLx?}NI?FbR>Um5j!WeT&1uT2L=D_<^Pht~^Ylf1F zn3C*Rr5o&7M>VESR2%JLf8%7UerXnND9rbYmH+O^So#g6IbBZk!a| zgW_RWfd`tFfN)=F3MLO?w)>Y-BU_!#;>A&rM~H-jx@X9p89FsU`xxtQfO$AXx1S^j zkS%XP$4{L)WEwhk6bRzBN5R+6k*{5#J!)}kzeKx0^7KXQ&a5_fLc48W1_6D1m$H$1To`h$}I(|YW&{LQ52sm>fM891WKt|?F<%=bkElN793`2)V>Dp* z44u1)9~JzZCyQSpQ^^S))_1KXxk3zzbz=UAu}_67`_z#-ybC7H=`KkfCV$FokLNZS zxgyN96~2+yz;~b(v>vnaxOcv&e$cljnCKc$UX%KESwV81x=~0!H2z`am#Is6-HyHw zndeE9Vx1!A0b?45g+x{7K?G*ErkpjCr<34UX(4Y=By5FT> zxocz?aR3KKMg6bxGLn6cKgN zA9`wgb}%uwK{Zz`L+G6vF*Wp?7XzJ`1>Srh18@bbAuWEiW^(6JG8=|8sPB>?IWufW zela^y)L1--y1%TXgL-taeq=ZFTi*m~JMyc!w$!7fsNXsO28FV$|Js-JvIU79khmt1 zfO^xYIQXA}SUgI%DuIFrVe!z7L&>{Ta|+U_5zDYy2147l-y8?#y)YywwW$$d*!&HU zm;n^r1#AFPqYX>O8rF;@u^6DqIbJu8rEaZ7si*(iY5ojhNPTt6E&sNPypJ<+6|)~x71ceA>eq;scHMfczF zrhakBryloSUCct>PIi2HiB3%^FRwu#Je&BgQhzO~ z2+~d?Hhv232Epnv;hv#WDCH&Y<9)T5+>CACpgIUX`uVv}3x!j7YUr+pXQx50H|RD4 zDhAwZz?TeIYsfD)V2J^LXO#cD0goE6(Qgv_ z{-aSZC-WA?9e9oz@KpnDHtHz`e8_;080Eh)^gL$J&l#}JklSg{aRc6Nz~u%kHQ<;5 z-1Sp@eKc?nH~2Za=W64< zW{zRNL!~;u^Ha)ah<}Xi_2~5luMV*#rajj3#I!m^n-YNz>Bb_VJR#JDqw%ET4}~LA zG|(lj73yRu9+RhXw$yD4M+5SXD?;}aaeYPA)zv~vG8zp>JA}q&@9mAP!kvG_!nrSm_kD2V}A@Ayf&$PAPbw zpma*YMkSym6G98`Dplpr)cTdfSLg(4S30bR4?}}zzTd9yzhJENb_}#xw1Jr`Df>4(2&=g z*ZTz8pe=n2ka#Hst68ME^B8*(X$WZ}3V!@$*n;%>wQ%%EMPI=c3h&_e;*$Aaz`u>U zKU&Dx4S=_-YxU84{J4!V{(j%t6$P8cjq)7N>2h7Jqw{(g6ZG!|)nR%+@BAv&!(8)k z4%IGKFw_CYV#X{0)$3YXotxKrNyajRM@;*49&WMd<1}6quPe;p5wmgzZyk89={&BF z0+uVbG;@8P={zncPUE$5xn}S%Oh!Lixm+7~0wS2)_YSNpwv}Y~_YY@xETVL^gQm4X zYsBE+fB*gM+h}Oo5an@uWF_cq^73{%r}6IQ?Zl_@T6MXeX*^x77rYV^+Ue21m(X{j zXUHCXe(*qTCQ;flL6VC%4efKeVtB6Nu$1}J|7(7}k5adxY%YC=$1%1g3nQaN( zK{xB)p>p4ASR4AtP)^@voG!dB1Pw+nwWag8O~n7K$26~i&1)%*U)5%JnHChV1ub8S z&ueqIOo+z|Yw}$47n+%M)pg8js$_+6eT~zLdHgd|fr%B|jF(`xLS}29&1|bI%+^vI z_h27jO4!e?X6z`wP0@ZJcmc_RJ(Z)4HkwVdO>Fiy=(7|si(C-TZ_9JdCf$oMEYL-5 z{Ua{KU&a1A23-VAc_x;JF)`u(YsITfYfE9X3AaYasw2!{8eoM~R#d=>Ru!_Mn!>n= z+Xy>XnVGG$I8Hk0;r$?8E?ipiMk4prV2++!gguV=%RT$R>lF~ZPLcZ_;)Wi`2~&74 zfj160`xM?Nc%$I4DZEMWGT=>4X`>Wz+9B|0-Q=FVu#E{hYC8NPe$>a~uRVSoVvV)rMQB)i(T_cTz@czt3AFwuVr0QSAtr&b6v}(+gqD9G_G9b;>}=){r*4@ zkzY8r%^ylegKRqsg(AsBC*5=X{)EyVjzLpbS1ju94#nkgR0%N;^CzTE3Jn!Wh8+^S znK+6+5Rdzn9dU`xrn(ZsElKVQAo!ADdl@5>Lg9|2Ecp>z%CYVKfZWlI*GKR3dpx5|f^Y+5yKJYrF^D?$ zXINH}fykyPI)AbDLv5U!;ts%^M}_*>-UK=z5ypD*n=WsXjXtbE5sQy~4;D2@+mam}lAN>TA=0rS z)}D+=BKI73F?L&H%k7Omx9(oBir^E1ag5^^&tGN)a$iFJRPArxBb*8Sn|`G?K?x;_ zz4YjpBRa`Zz1%>*0RIO@z;0)36B6Ao+5rCvX%FxWAiIjOCx8=_OL1oaz8CN%qygY` z?+hWvCK6*EC>7nQVHE} z0M8w;C>|HzXE8x2KPYl?SMW5C-|^|6I_KmLnmbDK5oK&f$A0j z;+-4Y1wP)*v4@a)faCofzmN0+r+W$AFa7{|g6|>Kg8#qwm=OI?1jKr$x2b;#aeV?G zKR{q2gz4`00B!ymPu)#DT@k?uE9)y(R=X+$DH@EmUN77j@X#dy!Bw+2;$P^ZYrgwhlZ#SCqWKS!H;F|UW32?>F0SlMCF;KXsrxg!1}|K%yzy9lKAGD}-d&%U=@KSA+tQgj6A{ zxU8pc#izGYw_=)2bt^7+4%O>ci`i^V{K}tO{r~EJ87Vf~aVIT3&h}j2 zmrrg=@xOfXKH zIf8@S{Elr1o^YCauNic)`V9;!SHH#y=IA1(tiR?|TY&gQ8L777cwF*t-&9*Z?~~F~ zZEl6Al?bq@(&0z>J3VmCoB(NC*H|b^+pTuQi@0pI>8IZ|5 zNq=tG=yWriZMug9w?&gYev|&(H2d_~W=7RU+G@)oL;hj;+^64m`)$=EDVjhVn`9Yt zqbd@3QF2~Gi`H4!TPb0%oI<{I~jZ5Nfat*Yr5fE?~ELjMb}OO8V0yj_~YMTOv*mPtMEshrM}&{b7He>%xnt=%HPOy77h{ z3FJ-JjeXJepzk*}=;1(KzTUc;x0v4Q&2vd}{l;qDcwIL#^w7GLnDgAtDYk}YO<%2t z))ZcO#bwl@&)=oPQo7+-e|oA-FIuCA>+=eU@fwby#i_O?f#Wr@2A8DTW`c%mtv9dG zR#DnA_a?vL{OIgdn|6}h)&ORcj}CZML5JwdWmEwxrmoU}iW)N<8c_ zniuI09g2QcGWv^p${#cSfR!fvzN46~A*4k{5{MJ3uA}1fmK|Edx1`?=BN9k1rqdEg zYLRwYlqkDzL?8q3b^8i}W0KK449l;gF919={|ARR{aS_X{DVE%n%&x$Zq*vDBR;v( zL+E?V^y&OLovTf0rfZ)V4G$)D>WW|VbgDT>;QpzG^KSCNl%cayZJyH2bMs)uYNE80 zYh4q9H`INS){rLo!;U9MFoG&_I49y+ z$qU}$*2fegVXHA1yWY(iS9lSiy6*St;*7*vKs^(G@7NvfImDVPxnVo$soxe zuE{G@0%1XJH_e5t^QOh=ug1SrJ=m;zfK;8CBofXPzVX5BvEoZolsMR{*agu&76Fh} zzQCSR6>*CM_&Bx-*tL)8#t2(`iY>NY1l{b4qL>Z_ll;6Chn=^9f!^?8;P#55&$Sg* zwxU?fx%8zJo3cE!q##5g~|CM6%#nyUatyB?wv@^pKxw2ow_TUJ^x&KVzSH}+dX=o1G zi?(;>`iz%i?M2(ej@{JU(7YrA+G@UShVx}|`3>;Z4KUXU&Gs8mR5u{7pSVIJ>uJiw zR{4o>8>_>)k4U==7&Yv?m(t;^2B}Hd_%if~Yk2;}a|_R1JRkGy<4JQ;WlCyVx;@>I z{w6h4yCz`x=gslnsxyNAF=|2;L_JCq#7S z(R5Wqw_r;RDPL8C9-f+Q^a-a&#{xq)Hir8|e~#SL!{-gwjUBqNx)TU1sTq3ML~)tM zG)ecvB!N7)aEeZUyF6D|8iDkW*)>x<7kfk*aLHIOwpAE=qdWE^#>%D_0xg_&=b%ux zJ=mura%W1XBh;N1OpmT4J)EW+8=_8ygK$}?ZgfQ^9tiDAxw9(z2pLEYr$s;gG8R+x z)QxD&c|sfA)6g7ndrQhr09kLi*rKLCJST$(6=lxgV1XW%nCYjwN=cG9;+&7C8G*2e2mpuMG_8C|WmzU0@9wL%w2GEIg|fDt5gxzcmRl?i2u zDZ--9jl#NtJeMMnnpUH$XtGJ&?uPAwxkVqU`6_fEHE>5{{Fl=H%gv0^KUUMbV$N@w zs0T)sj2H^8N94lb_rrq~Xb7Pj-QYbK`S82W@3lJK9cebV6Sm$;Sh~5hKeYz?#K+Uh)T{|~yB_ucMEEY8E;LQlEi(JakB_eB@OsCwk7yg55#v8DwsM)gC_ldE8-R~y!t z=OzLPTE!AdDW454=CPt!g*Ii~9ja%Vdq`2fh_hx3|=(1tyiH(UKK%bU(GIqUN#NrWh@@%4bwC)E69sC%e(&w8eE z{UK)jdjz~MZBy(Wy}C8F3DMwP<0806n@WI*nExFQOKwTlt5uGdNSJ0NzvSwe8&6Iu zeMwL0E8@vXrLX8IeXb-M<1(0WsyFFjF93%VRmF%p!I)t8#9osW5K^cNASu@B(ehh* z;=UBIC^-aok2YnMmG@sNeuu=r>5Belaf+?urCw1_Nz{^FQNNd{KlF;ak0@YdeZ9id9rvhAR;}7(M=UDI3dtLjlV*Cgk!^Pj1cKwa_YzrrWSQyFMz)wK_bJ$_ zFvG+q?XzIH6s#Snj6k5?ncC?sclMpBo!`Q`mUly4U{Z9q?mMJwEH}rN+NVQLi>lz5HH*>>^+E7beIq(ymx5V-F7L_?xX4`UiowUozj61n?>o z;8X>0at}bC0ywP~z|L!XI%G8Io#(@)!Vdm5uG=zu`ndC4VUBzMsR#lKca9`q=;M?* zrzXlPCc3SUl0!Wo&o zS`rNTAN<5xyPP>J!gTPM4zk$_QW=r`Kwp^ zBMq(%WS5c@F*f@PT12pmVP}Co+cF>Q_D3QDHJ&@-ym3{EE&A9;u~^4)6!W7a5T75u z>H5EDq5e~){<8lq^*2iWk9{cZXVLe+zWqa0`=$Oe>Su^e$xvMygA<(nNd%>tKCQOh z>e=XlUF01=USpzNc!W-m?q!h^=NAKhX+J8z0M%qG;WWhx3U0wFJu(@-OKb1lza5XW zo=zr;Fb@2aV6jDq@t2t%aZX`aMJEWdGyV;XUi!yT;SCgc2eC_ZQVKVU08Ud@5}OggKo@2#f@nV4}C5>K&IxU zqsWS8X3lTuNn$p!G&hA*yT4%7%;fp9U-^Pev%Yn~-O9=maf!Z%ntN`D`FQ>s(F;*+ z7d?Hl&35{CY_?~3PX8{yJa6!f&9m9=;d!0s)KhG>J9%1p27S+FyO!s9p7c{~wkbT1 z@$BU}kImel@x0G-_Atuxyv}p#Y1l`sC%~_%&o0TP&tlGdSuE*c$D^W{V&b@ZiEY0` z&mr0}*kHQ7UNRZ&lA%b)(sMc{ICKm{@?!qLE;JPr2=I6{9FqlB7^BrB_Q=F=L7ZFS z%p7XdAjzB&w~q$$vMqaz^LTPcJZXA$mmYfW3*ERh!*7huu8i3Gh~-i*9Xt58J9VSK z*i8oLh6kIB2P09M9xl)5oM5$JF=NnbL3hmgIBz<74K0{N2M5OMhV!Xh!E+9!F)>-# zNA5A(g!v}iUk_Ji=td=#d$N5IJH{M-VMx>DC01u;+7ZiHF|BGv2nzwk?2~NsQS`JC5y zN3Eo7phJjV$3Cn(Fp=2&!(vN_z5cM+?-D!eu-L4shGt_m09zn}dnrPlK}*Qbib%)k zgXJsYm>Ws4MJi*_4ZmY&f<$(28!G5JHoqSH7M9bnLnpAM5YGJrapBxX_5W@4 z{~`7N4)wo{|K8H|TBCGZg|SK$0o}+NMwfUDf5z}oM@nFr{2PijH0Uw1en|mvck>f# z31fJ=PUrb?h~bG*308f*o6XCRdABPW^=hzN;QWa zMXD4lIL8@;I$bfxI*J0`@fN?5<5dAwEjjiQGQs~`(pFWa$=;B*@NC4PQT8EmX=V5F z-)rQ)sa_tGm$ckF&7Veow1$^yyrLPTs2L^g2gj<&1(RZ{Dh=;|uF9}?KsV9H6J1Wk zo8?68q)DexT(+WKGP2Gg7|t5Qe_B&h0BX|+dyN)0B2OgbFKE{zlkBX2J%;`Gu!vW? zFBDA)b{SdYNH-kOAupvtJh;@CYv6CJB0t zcCXQ_`u8C{l354fv6WCUZJjZ>Ex%z)WPD16RMdICX*s<8LnG-yDX;iUfv&UE$Ef_6627!|y*r$V~rElw! zD>ZmxWKv8re1EcJ2=;IKG6~cO8e8Hh;J;So$m7RQq9OX$NGtQfp3GTOfoM1{=6~Ae zaMoI>CCe{w>%-1vyoIxt@;@zWjMQ9qKL3e&lBhuc=of|Y_9)R#yOOOZ%6>9`m-s(G zvZgFZW_m=phzXVT5m15hP}xlo(-t@$E}14|MYQ*cIp;r}!v3D)YGEfR@GTa!H)AJN z%iHKE%pqoIzhCx$+s-p-*FXB>Q4DQIlX_1LI-)FJwY*8_Q+oBdZg!GgdgKm_LOFGGYYC**)3)e_zkTrdus>}pai>Te z5iVa?-%6QXR^F`Mc?a(#@4j(8d3Tbx%gXzX#3#XxlK17LyixLgYUTagA$hyV`HBadWwf#CT@Rq((Q{^`f_zDhAjMxu)3tpWV$y`H-K+#jjWtAlt;W%}_)8Wq*!lTS8%%wFNdM=*98 zW`|VB1oSH8M#PpmMdTfzD3kVmyiCsDc)bJq3zMoad(FtY zc&rfHq;lzon(-?q0bZN(IV|s0Vk=A`tk!|_>_8p{w#K|VGSH9j^g|As-N@vC2p(u; z^#vHFw@~Y((rvY?@dVQHg)2g9+_JOknTAQbw}kB3iY(ghuioM_x|wyfhA*Xxtg)k0 zZ3&fesmK7ok;%lJ^%2!HZ6(jRa8Abfi2XjSa1Pz@W=v(a?bj=2y2NBB=b0rjgOg)s zON=WyW{$+<_r%m^NTVgPFga3WibNJCM+&=2q&ps2lKb1^rEBXm9@( zb~&Oiv&|FE%&zSxa9_r8u3DJhleq0+i=OHbBANzu33q9~^^*f%G&E)Whf0x(IFB`G$ z1qmwg=FgkNe{^lOXEytdQSFLV%EOt3km!eim|$e?oEXkLyGk~JH>aDMy^aC6=fd}F zRb^)_$0Gxgba!^D4LcZa-|hTc(#Ahi0<9%9!N@tI!dUHN|9tNbUrRLA7rAt>&xn>s zMm0zoHGX_7pAe%bF|bp+^zisDiSV(F0=G(px1Wk3Ih%d{@!d(u65;LFEu|F{gJpHN ze@_Nh^M8Gc(glUjBHF`wbJb^F5JjBY*jK}zs7MH$&UdyP3Z3IzGn ze&p*z7naS`64UaC3kZi|NN@3>tTaXyRz)f@CmNY&dyUsccI%Og2bV{ND!E-58U9m& zGjoxzT89D`xGaQVas)uQvYq%{5@)?{<=rBrO5e%*r%CBipCJ2}(jD_A>k<2h(o*!; zr|tZ9o=|$A<{Uw2iM$F%iV_gE&}c1Kjl>-mnaZ>XsV{&aLKuXsi3ddJObPzeaOmfV zbC%YCOPTEjVHU5^%I;{TkyGS1)<>Oe*`dK+d|avxyR^u$vU0-4UX*M|avpJ&#?Ydw z$d#EMV{=n8S#)UPkBl8m-xONYnjRTtPHR2(7GL#v_I+FTc(hC05THDpU0gex#aFIH zQ?j?kle)?G#Zi-S0EMrPRyG4haZ#QX$7)#j&}_m6T0=l_);?|FeV}fRPo2mD#P)9DXZ9Yta9=y>z`?WJck@dtxsSbp}rr(Y>E1Q(_iXa z$$#p5mLID=kK$5O*40triZ=cs>=-6z>Bigo-t8jr{E-PF@X)#}f#;^rJYAKM9N4K6 zBbX`OkR9erx0#Y+zS}WfN=A?9nhbC=kCIfuCe)sJV-iv-r=oO6%_xP0DW(JuQG6m7 z0?dvm5m8l{-6NMeEJ}G47b>~aOcQ)YPM*je`g^b?cNC9|vjh(_Lt!OhvYPT6g{Qo0 zrZ#fz?P&~Wkw%IcWo(gD*-g?$N!myf0}MXZ24qT7YEmI3HPm<%a2ZJ{I8lXG(RSv9 zP_vY^w<$@rz>BD=Mnt_OqRJn!|4NCfAs%FvUtz5LKs`+oEl8_|rM;-9ZT1u#@J6Pj z9EyT)xK)q6r=D$OGnvsGv*Qi>*`(U=bXf4A)NGh@Y{y949xxjQzmHENtnWQOTUv3) zxdIYrhIQ6hJ-$%6@0eqi@#)L3Myz&8)}KqnAM%nm8M2vb$Y!QWagSHl?s?>0H}u0U!1!R-19{WC7(2 z=VKg1N+=!v>K2XV&und2P2O~L6;V1wUwNA*C`D~zB(Kib@~(ZUsBogV$S58cwu@XC z23vLiA4M=%_Ye`BpoCw#=qBJQV-Q%BtlGIaRuf7U;U-< zzp1|{@{0bl5&dN=#F0PkN7pz+e|e%$kN&cra6*3>Z;U!y`n(J*vw}!g1AQGvrbVkEOeKmNpY3 z%8N|EOf+X6qP&Ps^FLO9sXe*lnz#}%jeu&I*`#=L{@bcVCh!>J--ps@6Mto8rX;By z#RD~BCsY$twx|);+EZ;vjI&KWVu#WrlswM$8PaYg@x)y&9R&bmn{ z6KgmIVwAndeTJpOEdSs>E6nk5J#a=c-lGG^wY{ zD627R`VBu;P04CRm|#)v z29DqMwb>fBYYp#E#_St!N$y-+?6t=EL?Iy0V$qS|SvrZg9(%6gxa$nH`bf>U1<$6U zU+`*aGj?63KN+R}X5}H-#0aPKm{q;>7;kBA_sCRR?SpEfp>1b~vJ#)W8!on#6;U40 zR76KnlRTP==qRFV96?9f#5s=*N>35lfTGRO8Zn5QDhdZWG107zrI@x0uQ7W6$&6pN zW|oT{;5FX%aFnBFW2x zB|A~PV__)IkN}9Vlw!5+FW4A-wW4%u?YBC=?=4+hGdfX~ZXB#MGNr0v95VGqGWS;% ztgk3o?TJiEfjE8ju$lCsAfvbGsa-Snlf1I32tRiV8tM|gVm-j!M)20V@GgzSz&Al?oX|7 zR9eJ2&{t}Q@NeGOM8&@952Qk=fTOo4>Y_E?&EJT>|gr)-7L;)dqC`ZcAZn|8dby3cVTyH}8;n;kFdNv*Mw_zA|S zQ+<(%qLPf{u(Fs`e9EL^+6*RGD;&Mr0|9)jHIPBlSF#vb4UZ47W<+q;FuG-@}&yhYa5rq84+k%g`U@bPwUvunqd?e>>y;}O1 zRY z6Z*fM-(%Uy{QjHckH+s;9#H%~ouB^~`F*hPflGEg<=hmay>p+%>PD^$KM>vM@GMJ~ z?AIq`3zD4;gRNCYPL6K8>MPhH64Do`Jc4kq7r`a+9g}ky8KLBRio7G=aWf)-e3#Xr zuSdQk4Y$tgk?y`~w(l~fI;3Gc<_p=!K^ndiTLrvfm0>xEZ%X%%LuKj1kZD@|edq)U zgxT;Oz{(m^!%|W`OU$kFFs2ydP1yoalAyk&6aIE-C z2gu00=}0k?htmAipe9Y=5Q9l}rc=y9`ux>y62%g!HQX*(%Nb5j>7H7b9PiadN=}j) zVyf(?h!F#)iq~rX={ICgcO}}c9SfW40&l@<6>P6ltC6p?9b3F9^cVXGnWtfMnWSt) zV)uN#^AQo@kC+D9$XrZT)_oUjzWIO!2nR$zuq3auRzXn-ld598-=QACMuBX<(M8vm#A^V#21{46H=WPbLXs`&W>QokNQ zw|%Pk`ODAZ{Ja}Z`p@|}3?ddk7aq>fH;@X`)+wevjHRp0RME?i#L}mm$>O|m3@knS z8)E6EQ%shQx8|5xTIsV{cTpUErnKT`9e%!;21I}IqT=UTdf`a?e7@pm!|@>L*#Eqx z&GY<>uL7W<>(sF|>oeLzHEoO&{51V-GEO#9rlSP7M%J}>sU*0>(gX6?#@i6YJj0K5gw+ykMfH3PLJqvL}$0&cL%+cK}r$ja&kd5Nr5 z73Atngt+6c3Q%TPM|OG(R{5&i0h3Z})#>>ACsJqgyg_80O;&F~iw|G9v~^_gwq>lQ za;D&Zb5AjxzsDaV(E`b2*b(`7af-|qc&V#7QhA6!l;N034VX1c+ZDOK_^z}o^FC_u z8>=7}-Jr-N-LOf>)laprIJvT=aca@i=EhLVY9voKkUhY4L9b=NEokTJ3cxG?OoCi5 zaHEakkh7fRWQ%=APEsp8OUx~H`oW~uTtN>?`K$dYgDV==)s{h*IYiRMVGk9gt<$T; z^{36EV5##yK+ijYB+mOw>FV`8)H|FWqR%p4#P3JwwTQ#{FBf1wW4G5RI~zPXx?EMg zQ|)M&9OE;-@P)px*W8@w2fx~b-leyEC<`GmzCKNFU@^~Rm!&*Y?WfAx$7hV~s$$C+ zbNf2BF4#*QyVVM_m>Ij%3bThgHY#D+KMthozS0=p zZAxH&+RK&I-Vuz8%wdqI4rEW)*_G7AjD|*$T8sixLg|?EyB~}0nfn0s=*s;2W58kT zIo%%_H`s5yUKJUiDQhj+H4;jj?qZ4g(#LWOa=6&y%BD8xp|f}Gk@cp8S#Nr}tT5|M zkE}N(-rTQ--aBeX$TUA)rukV%SP|)L2)!-nXeZTCyUkZ^|E0jt!k$=OlzbCKa z*HiAn8$|JIcQ1a8`5@w9{Q9xQuRH(O@$1fGD(_c4Uj+XA0S%p4-IoicJ3vRU#K0lx} zenu6&`Fz(E@cG+B(+PgygvwsU6&^m%IE2sN7aV)>`OdH4b9};t&8rM=yRi8M6plGZ z?NV(1uMgvF9uj8yDmFLQ3;#p;`=|R9e?J1flK5MXE?<5)fA6O0N8@kvzM6ztjgAPB z8xHqXcl(X~ra?_HxIc2|m!^QIg>pvLJ-B!HA~&Zcct#|%u(^m~Mrd1{)v=EZOCF!P z$cz6#KA+rqj*Q$ABg+m72o&3MkkW&>a|BWnd-%Lxz& z)!SHcdRB^1jcc>R+pN{u%LoyKYPB5~2PITT9wt=Z1vK}1bSQ2+yED#h_n6!^vMO?M znn+U-t|D3EQuUjbr<2TO6YD7?YYmb$VP-Ux(jrAosEG+aSC>{x|d61Ne{pxA^TKzVr!xn*fw#e(T2xhQs(xp>NTl-1iuBmd+F6#jklx_()j#fI7c6f7he*BYN+qH_2-r zbXX)Yk*v?eOx5bRkG_<@R>vGVM*gA&ICIPKy0GIe64@BNo)ne>c!`QC#r=(#eS}9vOWB#kqNr1B%*W$H(>bc)_X#9tvWp7|j6a)$&o+TvZBUytP)p`M7STAy(vgbC*JtQ6wtYhoq@Ov<0{R9Mb zty}p~5N9Ze_<3-%(HC<`<7y{-2J2x3)^; z;SW?@-!qf0G?VI7(iTYym0it?An-$e17{H7lZe2ngsxPfTtXEpG?36(73xdF0(Pzx zyO@ToV?Avh$@xfb8*O#`l^FSJLR8s0&ty_u4gzvW=VY3-?rt&(@u?@;_=H7Ud6_tb zGW}F9lPtfSa5+tfRU;4Q$=LB3mof9-j#J$~ty{C)7s{<{^LI6~yUEB3ZUeSCvYu5j z+vMt$E(ubj3#Z#AoPmV67lMV{pBM?(5y4gq`!(2Z?^ACBJaug8JgN=wEh73^ZGh)d z-kW)UmiKnvn`O&~_jca9c$aXOE=SIuHd5i{=gaL&*?MKHcsOuC)pn`XaT8-vt$^a= zAyGdla8+2OuBU#tRljc4@3!jKt@_McDq0` zo7h57cJc1!y^!}wyt{dyt}S-YCQja`FYwG3pY#qcsZ#)@37pD|IDZMe=oY!V&J0Vg z)x3tv3h}i!O_jBCN!&lwx=Y}XL#@o+`ap_LG?W> zFACM@@C24m^kDfs+O?5&GN5CvRcU)m_tiFm-mk2Re=fRr#Cf0f`eT*(Q-qsw5DYG^ zGWI6UgQ|Yvx`p;G%e*?(m`g5%chnV%>ZN2tWnFI0q zryN%QT~dFjrqA%S9s>LeOPxu8f&>D8gtx73TFkD!k>yH4;CWj7uuMdB;zOkJdaH#% zSY`eM_xB_MB*q8r2aMETXw@$SxF%8mlZ)d77}it&SqkK%fQ%DB>K|&=KiI7QDy#m! zD)a3}t^Y2oehiff2Kd*@iS{Szm-fWlzgM;Ykoq5%8AjSqD(J-P539_duo#g`1x#)= zWftsE2?KNk2LhyH`V$1wg#a@W2t4t(I03p80l0r)Lv*x)`DJoR0yDo^4*#Jzef9<-BBg)>eObcDv#D35zphYeBC3 z$^rNe#LYX9(_h`p_D>pjY>BEH{p|!%C>|%F2xDbdt8`qml_%Pu63+vIO8iT[V+ zWbVSR^xcxO?~%!Ce5^HIg6yY>Bg!6xCn9&I$+n!^8@V!F++YhmD<7o<>7(DmCMMVX zPEF$XTd6?#)TH4;yhi)c4n!(b=!t5z>KM<@SR;_mJ=B?f8rDJ4byRvDY+>IsmRs4< zv%Q*c<56Qi~+av(ft9 zs^!0elP;Gz7>;YG6_alv!6yisz30)cn4HH+f%RZ}i9Zhu?=-nG(2k{hJsGc}TCol5 z;l{j&Xs>SAQ$%k#u4I;7u1a&ecnj|FmTu7Q{k5c%RzZ`eXWV`c#rH^Y9Ga!5zxp++ z_TfT>R(l(fq&i+C(}e2GMUr3K`8f@d(RmARPm!SIzX)d2dC1WwBP}C=~4rDEbcC7vdrX2a-#2wux7H&MN*7$XV6VU{dcMh4qV2EzdH z6G9H|GgEWmya73z4RZi`VlVpUw>}D1xVhurzSiz79kH!1G+o#!*K^AuN!ikM%LUF; z<+|oceuJw(Kk?XF2go1`h*WjiVL;BXfas)tNZ3SVGAld7QPu-w3rUsL{skDx948zGWEVt}*32UH z@gyLUyIbCAjxW?AwCCYPZqV3?8d zJXJx?8xyJ(!#yPB!a2>pSc^aHRe;w1#cyQYO)PAGyUOdF!4KT3q^@g}$aCqcztM4+ z6j(n3bvHHWk*Dj3V<7@s2H!`zLKV-7)HGlezH<>~yxx5eKVoGy? zV;KQN`gBH;H*c0NGB$fDDmo`b#zwIX4kjXl@J^=YKd@oTE3@dA#B7c3x)REB0n8-8 z9S>5-b08!Q_s|;MoMqh?UgWumdX<-F_6su8`NgfmkIa~AjA+4^L@XhN#%>0FcA96o z>}@k^tm1V*Dx!TMn~pv9Dm-k&WL#WT@J3a^Dt~xP9`21WdempsWZ8rl7J{1Kb4u#H z+;}kVfXt3=9|{Jwu)npJV^viJdt%LAV`oGZIvMft<5lnv0xmnVua^HNIII_G=RX7a zmpyra9JI+s4k6dp^9(R2t1Gsu=pjT;Tczdy-IRI*I6PObT{5k&{0x|OhByQI2dJG? zZwfDJn&jw?Hf^<8Q@aU;B$)wab{U{fiu&;mAfszvK?257KMdmfo#)UqZ>oj?M6PXN7ou3B#N%@#FthMzO53| zyN~9MJvsZXnTEt(>A8IB*D$<>lv zy;cTI8e0u|#stwIW&5t>9lM`xePfe|9anTccPiq`6uAsvCicJ|0ra^h=;)tF(yK@3 z31TZ{vF|JWv}TOQ*wM3}Lxsc43cq6(k`A7hrfQRWNw-C>7a$SrJ_Vl!Hv?@;3PKb( zqkOQUC3qF6MIW(?=Z_ z@XA8jZM+4CtG7)&49B~BxOL9k? z>K++E`bY@8&$WtZXlZYij?ks@UwC3`P|{G;TC=^Sr?`pJ7XAZ4qv+|4%-jdWHBa&jE}AI&^uq`f&Dmuti9uWqJIlmR2O@nz*w^buqvN5OLagi zN%8jok}%j#R@efB_74+4N%W6$%c5M`@uI6V*G=WMKMs|ZT1aS(vJt%eQE8N=zuYPi z!6&~rKF1#cpJ!x6YdFqL!l%E9&%0tt6(C2zXR3+M{1>Ix(%e7e?OuD2NBjw;OJ1Dh zEgk)P;Y^Mz4J5(Ia;3?$G7`8>q)}WjvHR$e5xcH8mpd#1p6O{m59=5Xm}gWL!!c_WIm~&cP&L1UiaYNR zw6aEZ$$rCwGk6I*M(*Z^wRpcK98GN^`pBajz5kPnieWoXTA?vEmMe97RW7i0VQsbnUGca9UEO%VYSxyKP1tl)@VGXhr z>hb-k??}A7>yZc4y)~SX>?Tvp>5iwwoK7n^HRkL`&@i*a!LeSF{UGz=Gt{k2#Z*_V z1h6>_rW3<=4zxQF4$nJW{P20Ll6kS%Og6x9BQDy`#%6z_<-1k`9FvIRYdHES=qIf?`<&{qd2F=ocnOwIEw+s*)#@K1IOek8i9X|1k(={5+T75rh@<(sI_gM8hz4gWe52JR z+(JCCv{ zBWJr_xQ5gYnR#N4m&nl}E{35maj-V4dc41Y>AW-aWm=F6CO1XTv)~420P_)nS(ReJ z^qVjpk;|{{92axUC$aM!t+P+e zQAMKhnM{oHDI5vi!f+0C_q|gj#D@^rnHQuV<-X!ZCHpE+;u&79iAMdJ*>4~p8u3`} z9OPA7)X{)+wwW<{I|*>ZX>@qZ`Sz7PDKTfedV?uq&KC(X^BbReLI-Eeb-^*!;xm-Q zF$b>TT}Zr#FHEUP9}a2SPj8605w?+OQP>DqyLqV~f;f?JBI4v3_O4});Z+?nn`TZj ziQNFk+eH`Z#x4v5b7Y}D9gNFAmqGKcI*8&8Uo)8Jah|7mp5=Lt$HkM+!`CIRX^J_U zK`~U;mvRn|@siQ5{ff&^_cDG$-81HKAm*ZF9vYMybKXKmqy4&yWpe+eTu~a%%A-_h z|BQKapmiqUCEQB@!75ZvDSssi0&59-za$J#B#a|rizEPxgn@~K5hN^^1cWFF`!APD z1yl|R&q@M=goJlg0&}?;tN0GH8cO#j^elcBZlyBdu?Gsa;2}!2V zo~LAE`l82U&gyCL?s60TY|$2JtYRjQsN@&*+tlZ8Khu;gqa^5UeNZm3||yi0RG z!i`;9$Twk71K}FHdqQjGTqZNPTc)#%JX4yQxDO$^aXfrguoFm)O@z!zZ4oI(*7Ja1 z*u`2rD*+Re5AyCp&5u6$lJK8nax3|jibqHARZE5mOU1L^7e0MBZzmwsuDtqX^O0Xs z*Pi7!=6vWGhJh&{laZhj~YwGGG z+W<}^i|yv`M?c^g+;|wl?khoF{f{;B0(T+tyEoaD$=d3LM>Fex-qDJdmCc4 zNRrWKfdiVsEf5V;!`v%GhTKeP;idJLNT3~BI>do|bY1Cpf`h~z93LYzKFNcN((lNH z*H-l^7VhD1%gSu6eXxyBl#19&+twtt7OYC^ZivnMm6*xsy6}i6TTqfd)atJm@n)1g z`(lc%?p!9`3*=oWueaiVF6cJbjbS+MEfdYVrf_Mgbb@4n|EHL(JWstBw5Tj|ONVZ_o`)DcMK}itJttHL7vGa8864 zUPJjvnL3u8bK+tPTJa+_X$9eom~)sAie8W`eAiFCDHOAXHX~Lv%hdHED7B#|cHBa{ zD)7Vz9n943xr~ab@z=pvtlVh)>!%n3^|TGKcPu7Kl8+WY4Jo`$mhnE(sCLPP2{gmjA6iKVz8c)_+{^^L` zPZkzg=J+ujepyU~Gt){x(iZ+)^=8?U)hS{h(PW8T3~6G{){Dr*I!^4+%QS>IxAYT zEGH}mh1QIiH!Y)d^Z?N(8_hmiL(e$4&#rTXr%5z3UO(sbW#_j&O%F&zBf0O(s}}A0 zF5X{`=(f{Dw`-QGY!}{5emdO~sf%k$C0+wf2EF0F=dgcPH^W|CHz-D%VAQV`9Z5Gh zc@G~=XWBK{Y)U=wWj0<+&UjMPLo9H*>BgAzsf&A3V$Mg@n_|BE33@_b&XA87JI?xt z2!g$(lR(3EOOZ1rxL2FF(_^gB4R(VmEehO+F0#*G zBa;UT92a?AA$!y-)vChzIJO@3p`OOPI+%zfV4N^&j_$i#=xD|vPZVE`&Ov%~R53=e zao!Bu{TI*EJkRsA@U-*n;1S*Y6P_=5e$Ml)Mw{(BJaLr~O))=u-UwM6EMF!X9%}}ks@61TEUvd$o;E`2jmi3l*_9v9#~PoB`_FoS2pW6jBy3Cw8b7iBHR*NC2J^u zBtMCt9NM{~ZXb*N6@87(UTs`6u^gvUk=l8y zIMEl>*tV=F9ui!=QdG#!TB&ddUbY@FIp9>WcoOwBbBhTH!4H_IzQmYVRs9Ng#{1J= ziQCJlAt$wdi&p<6K)lBKx(_T{L*4!%+KOziv5MN)sn|9w5X54DX!Dk?3(gg(&K$IS zrD&>5&Py0`(Hg?CL<&~3x&Ih3aQLzh;L=vFVV^IGWwESGBBSObz;78V{B_s2M1Lw) zt0qw=T%yyP7w6`$j`fi@lFcYdR+MkLU&$}YmWY!+OZHz@A0>5c`3p$!ZBo27ZU-Mw zjf`GQoXP)wW4oVQJ^Te*&3EWg9y?E4;T;$=+J;|+6~@?%HD=5ZkI{lHh8|Gn7}F5b zQo1U5{MfoN18u=Rp1SYb0@avgI+r1&l(j|lmtWKU(R=2_Vr83OMNNz^z$alXIzr>;X~&!WzzYK_QdFwIJTRxGaS?!G@N zGUfgrS%KYf;Z0m!81vMX*aCC4#c4(B>YD@ENCPZ_-XS6m5C&a-uEUC(0jI!!1Gsob zjDMH`-`T+cG|hl*Y78p5pvGWxXy z>|x256swHJgR{y}Ij{k)6+|1ZMK-EI)Nw!gX~db&Sd9oo5ofzt$rQzAE)v*U{f|^n z9s~ZwcAR}CtF5xTJ(vYd1S=9z9WTt_1_Zc}_1%%jSj2GSf*1=WBa# z{xgNa`ERJF7S8{U*!A!f+Jj~Pu7uv~x54DM1rl)Q#ZHfjt53jOpVXLt#S4ku;{CV%YQ=S%_x`Q(cj}V zMaNYjAT)lc7mejU6O%c{Dg?8hcwUIM%m*Q-tb?X4ca&n2&f1O&EN{1E35|X)bj+pz zFIf-COPX2wMpb$trHwWWoBd2`M8TrzOxUKhO{;1NJC>pkcL-{W1|h}X;(71^E}X;k znufQ=B%Zr@p5ysFlJHs{(dR;CyP5yf4prn3Ho2cImJZw?0^hAvx#)&F6Z0KP^k}GV zG&4Dg5DgsjeD|IB{KR|*WVOn&!@m1fI!D@boOo&qwb-H^h8?EG1l`#Nq!Dp<( z9m%v$9BKZ}Ow?B)KERHdYTYnqB`xev3yEua-|i3Rq{lT?#+K4lg?|oHRbRS-$*dX& zsBQkV?PF0@`=hG*zJ{uri+EI%6w0vUjdxNw29=&KqrXFL7cW{Tsw+z1YWW_LXs=pa zdqu-VdF@19o}_TtTvf0ca9E(s1JCKPh#Gt$s9x+_t~MLLVBhR#?lN zp~5^qV}tPHk@%+u>!e=&hOc0oFKxRlb>JVZe*M?%uwRg0I;?nD@C67t9wcO}6tJ>4 zb!#uSe}|riuSqqU7tZd(yS2tg6fz0vYUpiNPidhulo~bq7tk`%XHVlP0N~yz=#W$`$>&CFDe%@Sc2t1hPyZ)2NN=z(`UJaWcYU!6HKp!dnnqn7C=ZrG1`jN>5S-UL!ss9=bl8i9Za2@Uew&-6H_l1`8vsCA(xglLV1Z2l|y83-CZz{jho47NI%Z%TX1=NQo^)P-^8U7bJez`6% z`q^YFUTN>iSjA=GxdJ<_So9p3Yk_w^v~j9quRomECI(bJ^bu~jlhvxkY?bU}xx~gNU4|iPD%NJ%nU$V28-rO;x*5gz z)5nA*;TytT5^gnj0OZEQ@QD47vqd*zC-LDC{~$bb5jGBY@o@YN_>QAWY*mRb6OK-r z!zs)Ws|f1GR;@v7u_Ys(=Qa2POelS!Zx8duhVU#VyGb}pZ3*yF&PQ{b1G!K|`a?HZ4a;X~#8MsH z-RTgQs_z4Y?CS!K=oj%?)!RqvjZK#?&!NtS4+9i*q-?`H9KO+>!TDoH)6d~lF`b$t z#2h$sgR<#B)2Mdc#S;3@{y;F@rLIUiKxTR7s-D0e{3|l`j99PnjvBIRuoi7GM{YDY zSS-3_2O+E{6pO399oK^hD~rxY0KovBt@`h&ygB?9eJH+EYDmM_f~jn-34?o$&y<>UaDZ>|5d`d?7y*w=u!SPO2Hf#n#W z=iH9$DG_8CFGE=Fnd7BgnUm%tL*wQow)GO$wmND&%J{!2F=cBMryx>iUiK2bta88$*V9V53}e(Bnbejqx3jr1W#?rD7M&6B|wXKL=( zjV@2<3r63yLSEDR@X6Q6%xA%FY#XjM+@|8kEEe^hzD%vHL^bxYHmrzDIjHF0BV6jG zc}eo6%19~NvItepp4}s0x;R^d4<^U3@rZWJ8%VV>QW?Ajzmu+2TOEw%@Q8DN&wJQ0 zRHDr>9Ud`=m+*)olF~DbkK;8w!lsh?5RQh?&`L%ekb*Ldo4~4ML>I4G!&8LSQ2wss zr}$7lm3_3Hp*(~)YbZZcDnP#GP@c%(P4L^H20^F5qs2n?4l4ay0@oqs1j zlDSy?NW(X_=|sIuls6n`D`YA)O(>3~k_&$YH_6YK$?3yMzE7+OB0V}55Q=N;V(+$8 zb?ft)g`u+JA#R$S+;nM;>t%vAM&}?l*{EQLg0?+Nd>fCXv41cL9IVX=_{uHD za+9CbP6ZYXL+Saj)HLhb7k9Bk!ot{;A+`83ou?Q47=8 zW-dzTv*Q79?AT}x+)2{29$iVNnQlA&NZBQSKya^+r6?ob!*wX-EqpGC)!WAC=~!`1 zQFopabq^xrnDx{ z?o_KNOix{=ex&vbl^geulVITLE-Nu)ZZ7Du&6yo^Te?yO?o4bo#-Kkb3|V+-Ps1!6T#umt`; zz$V^S6HoMpOf}h{KHLX2WvxG5)?TyZpsDPKsVmjh4I|jMibG`s(B$o+pOaRsb}4a} z4dAH6?j%--vJ(Ui4#bFvh<40ilVZEcMsCGMS0c9KY;?Nfpw_S6pDK#ams^ZaXywZP zGU>*r+t-Yin()+xDT)WzW}6F<2Wf@JxHY453+9Bo$j#Wdj0tM|D`P?(J#j>P!el=% zm2~p;Y@Ob5?1L>>sq6@Boq}tcg{wQ}>^{rvW2INpBW|5z*yb!;wTUXNUM)6zb#q5M z_#I`{t2SN5ZuKl8&acD+t6uC|3Hc!M=4+sQwV*8fJS)I?;%`m*g0o%W97s3y6pyf< z8&>@3MhoBS$ti>Je|9%)sl~$Ph)BG7J*za%yytYlD7MYuEz>ZhI7E0whDV&i5_cHD zU)-wmXY@{ckNs3Rjb9&E|CYVAQYd~Bm z{{a0pRQACyabc~w1%cpHE!`A-Yr54^Ep!1{lr*?X`pVp`*6PO)nYQmWY)&=6wDP zX+*oMz%nA`*K{m1h48Ziphw9U+=E?wb>bzaLHxVe=PiV;u=u?{5haS|#1t=o1aff65>`Jr-`z%{ z$Jkp@T%y&tkODLNj7>*d0LAsG1V4*B_*#38(@l1!zTnb^*qj+!y{tDvAE#*b&!J1G zfOv?jfOyT}{1dz$=`lc7e36TaW6o1)mu^(xp4H|pF0RGJxoq;f6q}OKogP^5Qx1)+ z|c~KO{%OBhN?ofS4c)f~oXD&!dfN7wbN2{|OK{B~Z@6a1D05!#M`K1bA7-4V_~A(S{n)HaYy2xaqDR0_{Eh`bIxod#;dgNYzgh~#@ly@u?X@0-k^e}e_38~)Uk#1- z)i|?E?OPqUQAlWkL0J0A2cptfroD=xi@TS7;IWL~Rl(`>*Aei0W3`1}`VsK!+k>C< z)ljRi{$Q2?Ke?GMj$cn-EhCn`s>b+`BySS^)ql9zU!~NjS64}Yu`fiMl?@lZD9z18 zyP~g#rqrzKxEW|N<5~OPs1k=cGP;npAN~vg$l6z@#%1j}O4gQ1A6v3^c#@1g%KSe# zG5?De=~7A$b3nc_bzyVnV5jiaR#4sm84!DF6{R)2q9ktC&4LCB415_HCKzFYQvMk$ zNw?eyw7dVpOQ`G=X-n-q+(g}!!s^NCFJ|3AJ~7}Pas80zrZLr9)J{~prH}`{uIV7L zpM5sx&W?|MN84=i3N;XDSh82XAxp#^lfB``^SB*DE}4yaf$v)=zFUv@-@~k zxV4CR2r;1;uSvF^8pV5pJ4Df<(i}Ia|8jOT%`rv(ukHMy$M9vSGve1XFEc(QTKP6! zwmOmYCzUizC8arX`4wd?DZ@u9L#CBME{{ude7+){?T~fKhh%O-%wiU`RyT$JA7$?X z-(-aMy9sL)bq3&_>wCW_!~gVnW)O7WKe_sk?siu!-wAD<7+Gc#w-oS8Xu z=FH5QGqR>B(>O)`utLP1vXgxQCkQnRVlmQXcWZ2Y@-|H!wd1yoT$uTPxlaT4NsfV^ zrfvl*etkD%x4d#*=SUEvV| z+1#CTjxbt1OA&RQ=3=={Q>d@g{3{8Ak;pYbafg7bG(J4U@VpBbN4QhNJ1KIlCXoBq zDrqENNlWfAZqz)g)_vmoOPM?#ce1{r_1|d;A??TcRqA~aWuxS~7MX!5iPNaPT-G3M zp{mct$iQK;TclRC0V{jzP<%_YRgYE^OklONt(;5Z|EkUJX$%iu%WVbmbAcb3&v8R> zVb|(kc;2ZV=C_)xU5sb$D#+{H1HrnAg^tz^JO^sGYc;=2*05}7b0bcAo-M%C#?++7 zm5i9I)_uATO1=#M%bXXaPc~L}Nw`)@_rzS^Um`z_@&5q5>sg758rKLE^MoAt;f)P( zf8aIH)$p#Q5quHBTSCV5I^+4kCR{Uh#y%vfT)P2hV#`yAlwp^<*|A+8b4;VQ0V}U-K%d))-Tn}{ zjg?8RqF>iF2tqpO0&-E0kZgpl7W|+v6Rr}STA)+0GggLCJP*Lr0JcExCIt#2K(hc< zmvTmX2CXOFTp|~8wAGOerN46yU^)IuiZG5lYTV2U3p4xYjr#@qdB=VHG#t!nIFu7L zMv*qKKI*WR0nU!+gvON#>00%f9v`gVBcF_pcwZr_bni6jUUU9^gjl)zOTBjq>Lqs( zwjAg3?Td}Il{!x2ONQ2Lv%=v}-@?wagQdiOY+SYwd?x!Vz}qnptZGZRoEgD*!j(-h zP{l3uug&@ErM={8+^c*D^S;QhWvp41ym_mn48zVVZUHH#h)X!un*%q-!w?p#GNJ(D z%iP9Pbk*}oj!d|orv&b+lEz|WZ*3#p&E9%rIFMc+b;1WAHWnyQg7T6y%EWUWC?|qa zRyM_?)~-`>sM#1rK(b=|zxFFWJ%vqn<<+AHi8SE^N5WU(5N2+J)wY} z%K$p>$3Sxdq6{Y~f@+##cwNYiBq@bVNJ_KM@$-{7g6;H%laKk228s3k_baR-csImq z4^?gSTOYIaGotFY7!Ou`7Ov)^-HcyX#HQMVFz@Gc|Z*)j7PYeO%v z)ZNoH(GqF-AyIGbD%qY~k42htcn|Ox+XIi3tQ)vyV@Y^g1IIdD#jd zYj_m0@oaCL!?L^wf{A*3#@)M&o7KK{b@{rotc_JdSsO9I@67Ssysiw01GqptG1(eK z))CxIcLr^c16c})y|#QVKt}3|DoUDbo>MesLzAj6z_#D(%(guM+T=MHKx#ia{Elkf zZJxvCVhp9_GN^ekH{Nixc)7jYY7WJEJjWx){|R~;rGdB1ypxM5c>5S@4|>+!WrRGN zW=;-z-juXmu<)*V?^vC7|q;IJc7eBc_F%t7rUfm>%TCs^XKfPW%w(Jfw*ec$pMKA zsHn0}l5oz00_Qxa;E1I8CkG@hprV9}G`_gP7gumZDmaM?sHn0pQ*hGbR9L|gso*3o z&{k2h&0H`_rbo}_xfdZewn|Sfk#U+LMwr9z6z<4dBEwl{*DOP>+O0|q;D!koXAhwM z_*pe$05F7I8b;Xv5TlJR*p&|O+P1k^c3kBub!<2f8GS5l%I1z7oZewv2{a02piNrt zi1`uKoYW$OZkN=7$<)2+6o#23bBpc{R{_bS>`XdmloV%KoD|15XknyK?@8jwuq+-d z*;BJrs{Bh}^0o=`-5MrUV%|3DD%Cp>@xDir&0MemDouCKhD$}+RnkIcS0yd}%100; zPDzUjhN4J}6Dm9nW`uj4SwA5)Dy(KW&Dt8`s(T4e3x^k`=Tngth>u{T-j0LGY-B|N zkEc#-F~_jV;3We@2hs5J#O>yoH_dz{KhgjaED{K0Nh(v3h!g0keLPgPF63!6m%apD zuskFLOX`IL&GO;9b?+dlw~vU~7zQ8bs*XzV8o6zm8t*il-wqEv|jpv|f?l}}piOm#@_yF1_2(xtdEI=V? zPtCt0-q9%Qxi$UihEmtAzhgvP9Ego#c=9NL-p|L6_lXD~{R+It^$%cbTa&$}4kbj! z&z1Ve@(?zcBW#NIF@A$( zQ_b-$ME_m*5q4DpxJfam3T&6aK}nI1c!j5(_YQd0QKZk4x+@Sp9df6dC?(uQ?l8fO zbtZ*7az})F!6qf#^X7@%p{<6>pmEAm>=aRdMA)3z5e$v-8wmyEN%o;qyh>yE^YD5q z?Mv~^S+iP3#2HAmB_!J5$TFLNGY|yZcQP72lC|PAS#?bpeQdVq!RmyCJJXp8P1)7T zljllREu%{fQ@yqqTuuxcag*@|hnYF7y+cuN6{;pHu)U8nNk_fMo>D(AkWOgx6G)Ur z-nIM?+VUiZU1j%4w>ef36~B;gmhM2TCh3Sd*JwiP!WHNovJ?9f$V|84E#+tIMsEK6 zk+MMahUjM2o02uEY-c6w9@3hPCrJ`{6e?*X(y>tRMZNnaL$k4*A2E_4<^ev*{1=_D zmY;*awUPg6zMLm2kga?Ixm1_gqC-3M&pQ3HS^o^tAQk%OQvEYo|Fi?bdqKQ6B)uyK zRJ=Fj8sU~2usS&A;v;H2NQLF3GU=RdDz~G>3_1?6xEgpnB0?*@pTAm`-K*qoFn)y! zR8DjL^=b-iS$#}Zurw6C+s=Oq4VLlCQvr7$x#Gof9GI z;`nJVr-~_w-_AY@uC{*3D)@euRuBgpjE1;YE?nf2?MoEWSHGe_|6p$xd|&MciMg~+ z>3EK>iAio!oGk5tAH>t;$FYk}PPn=fhj-XjxW<+)r#&~2!SwG_IEE0*#CzZw#rcgF z%a7x2)El!m+YJncI*ICy>Q1~(edCpm_?7A#hX&M^q+3*QzIyV2)W1rQM=IRN21o2d z3E*L)rjVpFRgz(+sgP`rLVjD%ApT+<-v%XQGNuhw=|($Y%W>n$sdheWFPv1jNm{9DmM1N!pQ0 zI>?Qg_NOUgwJM?1_>4gK8aa>X*x%*0*fHSQK?~&<)to4e_m5=${2~(HP9+xV#K%&J zg)-+ijP@9hN(n1rD|koxrn;Y;gcPlENc*^MJV~T0-p`Ae5ahIBiIiXVTDf@`f?!mC&KQDqi;*>7@0e#$rG_Oe`vII*bq(=FJA0 zrF-~nl*Z)xaR?sHf_AaJ`(OnxBeU3djUsdFhiYY9>fK4Kx%d+D%SDjAP%Xyf2l-vI zoIlD<6TcnjkH+Vep`5}5s&4CI3sqHjv12!8LJwQEQ~l8a(b+h%a(oO}z$!S5slJ`y zehEfxhm-DP9!kPrB*62Uq@<`@oY*^F0C0p=@Od)d;}VS8KKFQg3!zKqz&WjVQHlFW z&^{=zMVV?DT}Wn8kALl8(BjZh>oaVEohlNcq=SAWT-0_d{vCw^%QZ~s(m*xuSw=k; znc6Xpr>&OjkDKtrcA}b$PFH}*7Gn8*5R#Q66@KxmdM>07e+*oDk5uZ1=o&-}iQRa! z48*iCW$C#^R!obFmrD#L=1*cCC4N*0`X(z!tI0hMW$%)D{}f}H!{t0$XR&U3D}HDQ zvT{3H--8k5`aq~0_3b|)tAInNoz>V_l(9U|K^OX8>`Be}f1}_E>neO!?5tr=CAp6l zNN&E1>0zop6Ag7ky0aOXXo%Ny=qNnMYq}-a%GH5``L_F_ywmZgEpG*WQDI%keY~yl zi-gp@n#S{#8EV4yphFsq8y@Vp90)}5)i>L&H*2hJ%uyUVpyfb_Jj^Bj1kj&GqcthJ zlN-^O|8}4FXXsJ1kXKWunhAYVP9xmdw4fHsK}8vY1_lVMDWW@NH+8hd<2EgFiKaRL+Gl^QeG9c zj=RnzT5l$k4|P+ud;wIkYd^4zC(}8bbW;CR(*5bAXLOR>yHL4irjwTGq!UQueHP*Y zNS0NjlSF^Plaq0II@1JFlHQ@BMnAIhsP!*MF1J1kPqO~QyG;bp$dicr2qMc-4xlVX zqyFA@%Q!09kDfmAbb2pIkKJCx?t{RzF^S40geJfHyDYXNR+FLj2}=4WAC#o`9$wdd z{WNju0$)8r75KKMLXg2r3)2PuQK!F_P9IrXA5K@R3bUsg0_{PlrFtUtO_~wpgTO~TCs~{P!k#uDyFg$z{{WhNi z^yfi7rH#1k{(&gq1WzHjXiV2Q?>#Ng#u-EH3M%j+pQ-{3@$k7F^P`asa7ApclhbPu zL+EP&)_%l0U;Lt-uIiI)Oj!__% z*SWGXsy-><+R;VA#(PqWXqafr*qsDXmka@UPJ^sXf;iDLUKEhrHv>#=prN@_{NjU3 ze9z8NSzL=V!DCe~1NjnPtZsLP-$p1_HSUJl^=9pzVI(M+!XZ$8~7Un~7wRANKL&2f82!0R_2& z=4|e}$`mgBv)`tgMA|z8q~=}lvS9ak?-Rr*jHu{;2Nd1!Fm3tt#k% z9N>>k)<1TQGayGViY-dg<=v{wdq{G}xa^wCy=H-_c?Udlk5rEIHx&6eSA12_!($XZ zNEbax7429Gn37LY8Arl(s!pA)q8)e3k52d@S5bVkPMDTX_)sTYs}shi6W-7X4X<`!hD_ZdOG1zo$!oKcs89dPbWO86aJV^n5Gk=I^n8h!f#-sb5N^=jV97w6Hg2T zJQGhWt3E?+`?0(kSr~5`Dw-*KJiS1{ba;wF0ZC2|k9&hs>>B}dR zZS!7^YMVDjx3?VsQa?!QWa@gI`npbCBR{%HpV0}=>V(_V2@mRo2|D4SWWq#hHHKot zTJ^~ozY|RaPpV>{`jQn3fdz7|A-j5+Lmo;Qbh6OBB}u?}x}1TkoDAJLbGK337lOyD z$uQ^NBjeOERy_)OQT7HV@T)m{jEL0%1NX~#uytp6bQhNEhrJE=xfvhb6!WdjRy2JM z6&YYPZ-eg^@ad7_WA_#-anL1P_o)mr5i}dGkW2odo2rLBlS+J<(v=5_b#l~u7g(a+ za{f+@dhaEJY(D-{ieo=X|Ah6=0{ydpMvW&WolU>)D`hW9 z>%*L3KayT+ONG^f`>ia&Z@fyWY8}qIcYq~lwAXdw8K6rhTIs~)I`M>b;vMP4h)(=6 zjrPiP;#8gZZaVS8bYf5^Zb~PfnojJa6aSe`{N~{fYE2R?$A?5HVyV^dfTP|DB)3H^ zkr*}qPVo4uXvB;mfLa8-YiH-kS5@Te5^3vz{6R&oAkykNE2EgNB_2zHJJPg700MU( zMZmSGcvUL?v?Z}>v&I}X#Qr(qx>6#sa{|(SwoZ|6=*Z!nB45#wLpw$OMMvJ#DN^QK3Ywk~SsmtuFGWZ743dn@r0a?J zj+&;3l8ZBrBbgDG5%F~c6i^8Sv9 z*j;Dx=xq2Jyfy3j3|F+CZQ+a1{8IC~V--cP|BgOa&#MI|IPp<)0!ouVr=8V8w|2`> z2_nCoC;JlXLb+T09@izr)V@^ey+~55J>gN>O%C!#ALr06wH1E1g82AUkmbaWH+mcJXfw*B3T zuzw;aRlJU*&nQB6SE>rS$55at3Il^za9LjxaH}1Ig#xbBPVnL^zT9(;I zSRqC8GsKRFhO$8S64`5aTaM-Y@-AGAAKsk^S%bC#Q*P~HoBl}^hcb0EfZalvVY(q0 zyLMu5M|?!=!g67_)PB*Lp$B1(GJkFho?Pqwx!Xe+NgNJ%zM9)D(D0FQxw&TIMLhym z-#OqO7PEB=Rk?~l?$6yTm$$5=7*GWx-{gb`Rj{uS``r|9Q_2;wJXOjvbIrY6k;5?m z!7@^E+X&ZV^XkuSlX4DKcs9*-Vt5mk7ohMW>n;++G22D_$i<@Bl)O*Xr8!XbIklvE zA(TXJnXzhNV=Y7?NLJuqgHZ@SxINeoX{urtm}Ghygw`8>c>#`3m1aQIn(qmRxcm z6;>;*YGP8~fsAi|#&=o9_mGV5j(Csv9tf!YFI4Phd{lRh|7{n$x4B|mhVU-SFhWgk z>~&U7WWUT}0gn1hov*$|J#?ryL+5?c0uzO-UJ($>3ePg;@dZy{wX~Ekv-k8BX7AY# z`_0~Ei}?>*d;m85j_5x?o|+5HTfZY?4HwO#fFQN8LJ{&s$mk-w>i6LbGzv=a1&wo6?c;u2}Nzec0E9iOKT-uXUw2;+` zURZk)b9DUcZsPdT+4t*026!87Q3GTsw=v`~X3AI8xRD>67T|iChg{61Z$Uo|wQ#=l z`{Lpv72Kfa+k~r#b4=`{vS)T%bBqLaw!rDolUQ;l=X%E=!D`i8kEyIoDq{IK7;HSM zB*<7VwS%PUAr)f3+S8E2HkM>$)VE*@Sy(VSvV{mRBuoDb8QB>ZEE&1Zl3 z{FEM5eeun`Kh+lxk*NBjtLlr^9!cV0^xVe4!+~2`)LS*!*)G-0bL12h0PlB8nAZL5 zWh|DnPT$Jq6y{S8&M*W9K(IV48Okc;+-s|L?I#fvvoMV5cYue+)zj?bj5`$4ac`2C z@6W2_{K_$bC~$ltDa0<$dKlD13?$-+JS-_Q-&O*uH8`sq=LjTWLs?UJQi**e!pwYG z(^}6X^bMqTWc*z^Bkz2_!Ev5E{+_Sjo1QI+?nWZU`Lm|UPm?72v!;Va=#taBS3#GC zAaPpAa$PEkJhFPDQ)>KCjbXaCwsK?Kr~!IpRmf=@SvAHf53b}bI$}=D!|e{&Wo}G%}g+eg~QPmUV+w@@`<~rl#P!G$gaqIcd!@rYS=>G%q82e&poo<;1O_6hcmPAPQ z4O7i4TjYa!@k8~PXN*UH3r1hdS_ITAEP9MZMEFd%JcEm+&^V(lrmLpjKAx}O;HMiT zo8`Bc1*7xr%gBrFpkCmfSHGMPDn#32+HFZL(;kvx0!R=GxA9}f*Z{|GTYb$*@rRHo zB0*j%z(ean@p(*D=gc|!D!yeV)bSj*AQC~ zwdF!&^)EzE30h@E!Dyf;Xte~RWo}Xbq5m+T4+2{5$;&B^LP+^LiDv!O`#PJ)`}7y?l88 z0wg1hw%JA71g#%l7bSAp8WOSWzgtRFFA&Ejoq3#o6$M=+>~?1h8#c9GOdtMU3aav- zR>)mDG<=r|$82?|39wW3I_J!;sG#f0aA(HDt8&C|>x$evI*)9KZ#RX00ZXb55_@UP zj^?Xa?EjA-jWPOfEbfv|l=F|O0vzW6+5p?N}1OnRxvtGnW>=;Y?@obz4d6YWQSb8W!4=K%-tjw$5uA* z3Wr80CQ2Ve=*mTkJP6H^#tOtRFq6vE`Uyk6RWvp3~^%Sx`m1d`RHqwS7J*E1_V>;l>lfWNzpi%`M%nbY~305Frb;*>1E;GAe zF1fwchD|r}yPrs^IV9F}2}Xx>X~k{Aq#aUHK^G-kn;0`aAHPq=lK3nYNzyewa0`5w zV>S6rH=1N9_E@nfsEF^GasJHNTW-3CweV-;O8#8EfJD#q4Su~Vfgfi)ZDwcT7^Y`F5TjxRQAYF+R1$I2 zl^9vzGE<&z6UG@)0=O6~vgg)X|^CRKUE#ajyL49+R>EIfNZ$#Kyn9R7@F| zbB0RjdlYKR5h`Sz4LtP@8V`` zI&IL{uesVJhm#yiFl4oQ37$ra81@v~=p)o!uwe>z!sTF*1*>YR_l`^%o+)J1SuI|EMbo#p# z!ZKe&$2bhK$F=cTd;cTm!oN@t%Me^X&w8I(v7VjjC9;o*DSf?|=Udo=Pio6(Zar$CnZ!mB)0}PsGL|?#yLc&(4E5#MZ}$yii?hrJh>7C z+S7L*3l26}@PkHF0x62;nHq8N0=x3UR1-qD(Vn!;^7MTMX#4@;MgvhbMhUD?aT(vr zHZoj1CE~RJVU{~;E`A!8!-Z*XO?K8zA*;AoB{+SrzRh2XTSeukUT*fA=ysa(Zv`^q zy+-HU7WQ6IRp8dWEdoc*8;rYwmz^lJl@`j89_vR`&>CZBM{P_Nhr$jQ2x{N7`WpNW z+z3PuY2n=elsX>23TbBLeHWMf{f@xkV@_y)fO2QzSx;Av1b0l#0{6=#`-A#gkFG=CTQ3 zjF+fb-df@8gpKFE46&QVUFKTK|6WwHhJPDEBb!{zc1`iKprtbEV}t)ux=C!0%`>aK1gF=6X^xK0IKcM(id5P!UfDxGuu=ulc>sIMnt%%=s0grk5TF_)C<*BXQH;%5S@H$@cjpQ}-wr>ce@_Bbrs3%_ zZws+OYr=q_b?e}uHM2~n>gAa;^Wi_7*74vN@>x7UOn+4i;@Nvkd(IQgZk)sa6W&H} z+hez4ygc2h%qauW*@dw=ymLCeNZx?%Jw49EBcd4H0GoQG?@E!!j+eTtZK}~Lln6e@ zu0*h(t!gQ!)YXeJ!e^?7VrjQCskk!oT*p1tY<6h7kX-u_{ceyVd^hM9(%Ozm0vNT4 zki44DkkzAWg*-0&ii``(aVl|$uF#3eeSzgF+NcDZY;d@JX1{ul@`?2i9+U$x=Y<52 zZ1rRtb0Tt&wJ;Koh48o?YW>_mQOl%3#_qQqzpjNtR*?gmK4L|^7gNQqfWFHmueW@j zjp0juu`9c3xAtj!lyPMDMZ#Gum`)5@!?0MtFvoJ7Ex6cRkJPh@S%-k$Sj&+^{{!a2 zgW$)GQJ-bX)G)%X3#AlR?3IV${(Vx~Rq4_)>O)fAzRW{uH>OM$_3foXl-xI0}Q{`iN<Tb+$}* zgYGe4FyL$KjqfZn5jK2q%11dCV> zUsxdUONe630kF0&l_oVK!kE65!bt3@g?p=0!_@l2$Om)syotOyoUe#|ryMZ7N4dGG z9{++bDzCPi?zc@h&rlUm{&l+*(@48yoUaJ~47H5d(p z?pTUg0pUpo606{OQjZi5O_ZIS&U`cu>W<^1)uwx&lrhsG%p`OzkoS5z3N#llk-B#b zmbASp#rIAZKY^^(auoPIWuT^MKGrnAVkurG)7uJwaXXPsH~3F8qPq2`1CZ0lISWN& zh|_XB^_w4&ys*NW;5OawNe3>tmSvIh8(_NOmB@N$he>l%Uk?`x)7)U!zJU$}s*YjN zY`Q--7d}s~hN{M6L2gWercoT0ROHq(&(^z9-5(&e?viZs8bfngps}(U*K2SN9bPrm zDfjlDqg`%sTnl}&cff0Uw-^;20oUbV48pddss{E>bB!xV3Oo`#+WyF}qv3q}FwdC$ zyy}VfoHf$&=Q~G6{rN0UjC?Zrn*G^%pa!EWoAAg;IKMEf`ut_XO389hZ^-~`z& zQkmXXEkq_VZ0B2NsM)Ro+0A0D>69^Y&|HJc>3Rqlru!@8M#o_Jb7F*R9WzZg-7#)U z>#qVFnQ%nKYRRb`FR@WTT|=SiQ;>2|Ek3BWSC8e13K>SsZhP0tAT9OYGF!@(iEcC}GH#UE=|xIY6bnU}BV~f* zN!dd6vit0~KQ(qUiadOjh9FUa^ihMcVXDT$hkiT{pgL#J(Hlu>SBkVISr?Brx30NbFMnu^`z)qC1 zeF>!qzemayrNu2ZvI2TX0?}dtxd0HYqq)xIvsLcM45iSCtkv^HG*X-U1|gkV)y-!p zCD#P8Suz)_RdT?1MHPBL-X->z-k4ih!yc#c#Vp~qCYd7s&gOc;_2+lcp(Q&@E0@rP zo69fCQ6{XdMCWs-hM0Zv^K7c4EO3S_Tbt|*k4?+JU=P>A`Qg@> z(`e&adT|0ScLTTL@u4FiM%6%lc*q1kj2X z=FX7Akl%(J0t6RXS9a2n3f41SU^!|x!*aTW-Z)`!PxUy+xD>p%@nV>rp2w_ZkI zr>i7t%S3xjH5Mphz6ezvQ|!9Z9AlisFheCnI>1nP+v~U2oL|iVuv{zo5xI>81a4o} z$cUCnd4S(K5S!FBRy)eGJM8mYoBh@vsgJZ3(_aq$!KI%+CdhtOJ8zbpAF!@;2BWro z%XK3-*-Q)N?g`~?_Iuu{Z36UWK(DY0+SNq-Uuy8ZCAKK2VZU;6b{;MVXaqn(u8G5j zjytlTEK)x$Si-HBt+FpbtgSc9nQe{{Wh~2#{1b9S;)yu@^96Uz9L!l_}m=8@0JJ*$ctnX$SradFj`hN0ofgLEF^st zOBiG>WeFGiN^K{Yu}c_k;9Hu+4?W|gytyh|(B5fL)lDKJL)uwX;XJAxu&iXZ%=P6b z;8&#TMb$eJ1e(Kv7iPd0OL5;OC4NP`kJaVj%XQds90lJiG{;e}NFqB?P^-Xn!=&~p zewB*T6ikqyreJ`gKwK(A!A#=Wzg&AE-t>B?c)Q|q*>#(ZR^A?pPAlT}6&o)sTE1dtLrU!eyljQ( z=G7nLU(m?VYYbwuqFAd<>1I5^CK4=x{`WS8GdruU+Lki+tq+KlPXPoy$aL^}VKwzFjKSIxL3c|i zK_~9a!tG9KX)bUvvP%cu06|j2!I+Ar_kkbLMOuADSI*Ma<0@x-g%k? zsIJ0mWmLiO;0@_2-1bvdXdzSSkE*aG-b+_G3u#-KzZbtGQpjq|Z12OA zjv%gQ?&t?9QQcK*BQk7q9y6{%!~iB)NbXHyo?$tzlag4vt~flB zg6QF%5f1#RlJJ4Gd)CNO*Cl|2X9ydNZkMJ-6m{nwa|ymY zu48x5T6(OYY~5u*S5P z5%qhbR3mbb?bK#+Z0eN>9dZ`a%m?Ju0i~v^Wpey3BS*AQ|1sHe%jZWkujQ~SaKi_< z+SCbJL%QJS%AEftye&OP-buK#>2Eyu72;qadIwj-(6__PS90M0-{kDnA}`-AEs~td z!SELUx8w1K!BlcYn15~&1=M^P@eaI{egwsOXt4U`Oo2bt@aa6HWH4a_b$PUpi0u^u zn=zgqR@=$j;-e9=mg5r2W}FCl92Ikc#IX{1Mmjma<_peXyFjsBdO^pIh~>zVoGg10 zg2shFDs^SFXexEoSY8AZU4*H+3oZ_cttTY37d`4Yp0S-ld^7Q^`)`xp zHm;Iln6#^S(@kAyHRt~k!XjQb>Di`xH+8PO$}a462klZ}t(WKK6fj8@EBSvnI{SxRf;A&xtTAm3LiBW=7^G5+P7o~d*3M$%28S)R9k&NzYZI! zLYify6+Tvm{u*B?0{8N0kE~&q?by($El2j6x5Xdgm`Q#^ezDp>_dWbK`~q>r0)5j! z1p{(u>w29}sYp@;arAeZu1#g$$wK|fmgAdWiIx(?nVZs5J~x-hV}hczPJtox9zOf| zXpAyBiqH4VOI6ABddh!g+8)^WJ$MIxny6okKF;#Hh0*X8_7Dlz(>sKX_R0;-8B%sV zi3!(li4Ad6Sk_hF3)jeM{YyUlypI8x-p(m!JEwBhaxkX%|5nlH>=TNlaZvji5*(9l zZ*@k#N#M$peF7b03skL3*dpLd+yXwzjWn|{)*#r#UDZo|tLGt7R#GVAVsH4IpcrtD zw3YU*aVDCgLu~-m1HgWwO>#G2v(;F8NG9$C^nqfCr8e&Y z4`#794WQKgJhIAmFPE|#sBU$EtoN#%rG0)ocSwLWhFGqA7EH8&WA2{SLRGM8Gghpg zP3Gc{2nj!z_KD0jIiH6fs_^;Yt;CBo#&H0+*6CJ@_KEnS*V;x^^;jtPoGjxb8WhA> zdHAC}Rzml6M2xfw_Q|^q(>tA?RgIAK(lw;}t-M9JimNUo>>!LgF&0km$>KK0PQu;l zi#FNJYkO4I{qKE#x@}>bA4yaSHx`_M};FnZ}spRiVXi zzo-vgqF2tA+J@pVhg{&{2Ey&zWDgfFhWJ=YxF!=)2BYF~Rh$;0EzAC- zy6>HFSStD+>l8K&B^eRiqW3=@p#U*H z7X76urMUV}Lx;)duV+vx*lYJB7f0!}Qfir$sqO3jM`y=hFr&rWl39q4?@?MW~;l0$6?!{){<ZXz0L z3W6m}Sx%))jw=(rzM=Kp&T-@$M?R8J`6u~v*guF8e8XRz1d5U;Vp=i)r^M$%2|gsm#H5J#u|!-kBMmFUZaj~q)+<&8s8oD~ zOXlvqYK9Zfjh15;<;C*0*d_ITNsSI;7kx@bY_-Hj<~Z3|8CF<5MW%}hx^3vSnRXoG zTmW>quRiL?)ZcBF$YP0Wk4~BL~u_XExBfeTNumw>swD8ogF%>k2jn2{hc zO~%Ev8e4~w5WM(XpxPDF2Jmi7+4zBLDGK+Nyg}T*4YJ-~% z`(R3=pl0K$kp7C-IOrDRRLCebd_>Z@JDFr^jQ9jnpykcKsVX?W~iNcy3a7){+GZrX=yy zDLjAGcs6tF06jfA(=U=*wQ}rqrJk!#6c5Re; z_1Aa~qHIXL+E~Rzjng$AkH)jOGoJ6!SK>u!JTZmm-y>ALmM8J7PuIlCQ zjOU+%XD^HJWc!pWJpWA=A>?L--~o-`1&ts#iNJ;Ly6b2KI%~Qh`K=&vV15-KGU58J zMJje}644n7Q9vWQMI%}*jD`9mh+bAq<~mmpjYuK-Gm#0`iy%rE4zfnPIiO*{qGD)I zot*VePD)45=CFTl5ln~JTM1ZQxNDEBYK-4pZw1j`QE|F~Xy8sc@#zr(Oi8mWjz`iu%tV9tl+ z?Ij}AI2u63LUER%7jtZrmU2a)BVoLgPWkbCjlPz&-zy4L^}H1N#6-p`ZOOtHP0c#s zk6oJ`jC`9DzBnijP)AJ+$c?K4S!k-}=$L=aHNJx^-MLT3-76pW$y(HHN1R5!IagiM z;|+(2m-LWpSGkSot|QcZOfQ@aD$CKp`b^Dk^k4r}|FuI=+2HD~J*rPq&~(*JEP5=* zZ-MUUs@>d7TSx>XGnU^V5BuXjrF-ZLYC&sfAZ96+5#sYS@%n-oH^#~!K<=l_)A!S8 zMr>UV$_2F(Q|cpE#wHdPF`o|bDdI>^Gvch*c?u#wk^Pk2x9#}|kAG0SmOWxRViS!0ft3pkxU@&)tA$}zXxep69V5rfEh zk-UMG(`H<9`z?2YSn=Gfb09e6Xkb&ekFFA92VOOtUYShM1fffieE z{J0u_CWS|9|H@D6iG-il;TPm5-zW$BB4ZSPNqR~rJm{n*BsB^5q3%cxbC?#-@Wu0S@sfzz#)8pk&k3 zW%$obzdrqij!$e%mtekPl^59FB|vh_UN+b7JdJU-4d)KPgv`-Httt5ld5C0(W2T;WSJt*xl6yv8{pEJoEyt*%Z^y3ihZeg8NUdNlS+&N zKZ3vAeoxo<1(^P}4uPHj-3Up=j3~Z8?GI}g>hEn5pC{jJ6WaLYN=y7ZagZxLHD~x8IRny?!;hGOU;C{uN(WsD!Pa4O zNf%^&Fgk%lwmF3r(K(1|?{9{)^oHrKwYIK|E?TsRcN&HPo$K)N_vm4NEH59zd=1A~ z-ZwPF&qQP@IN#C3zT6!R-x$_9Vsp3Ox^9SHuGqSsK7jIH(h@)avmX+zB|JlyUDHeE zfnkt9)@m5Z_+jr=j~i-L11-rhA_p(Y@v(tV z?g#col+xRN{MVla0?T!AKj?RT+6NALezz~t;?LcXyNNq>^H7xDtdJvt`h@Gedf|9S zBVomw8T#U7BysMHwKU{?{EiwKM?{Z+g$J19_g`-Lb1$44G;8<8Lp-MwjE#cT=0nW! z<8i?MIvy>@Z$xbnCoziOoXnHF`$b%-(c)8@&|&%v!Y>&G0Zgs=xVMI^XCN!S^)k_f zXh!_HLUY3S9a$1homTY``3!=6pK8Te9#`|k}%9Q+)~UX9ORpn<}I0t z;V;-r`5d02avKl!_z{DBQ#z=PiQjLrdFbrmuv-g7>Q_Xo_9E~K%4Im0!D)$1PTNPe zT*n^%ra0}5{|8RHjJ;9ewB}FXG~Q+BLCkY#nunPxaa@&fZCj&QZ4qHE{E+h0ej4o& zpm`^lGCNpJj^LDtR{I;YUF?qRB)h?_@YshX#Engu&$}A0fx|YyYD>;jjATB))t9?F z*O)^v((qlZU>V}ka@>YCoNzV0u6S&+=*uGhGI(r1NgX`45W0}QOQGo}cr4y3JQgZe z^6YK_Ny+>F3xAys!D;^LA^i1KYfhrcG6s`UYTR&{;<5@QUB3sx0+tOw>n>$Bs*H$w=4l#c^Nh zYQeFu)M)go?)iXbrh5hnC(%8>(96!JI3kX3#64uf_#<$ll}%vn&g!AhYeLDwj>wc& z&3G2s&jXdutYGa-b0_DGR}0B6&Ap&3S2+Itt1`yNBuHo4uyZX0ea@+TcIo*W*}M-@ zIV0+mZ7wJP4%uFX>a{wHZ^g{p@@OZ@8 zg19&n@lp`eaCTj%QdOt@9_SImRUz!=^~lvT%>AmQ#j2#20b;SWM|#e3xQ{RC4|^zS zb!kTH_0lChM*~oY&qz-gcmB8}h=~BgK3S^N0#)iMs?;)F>h-$R7g(xwYPhqcRDWiv z&#zMTE7PSuqDuW1t@tPF_t#IQC7x}PO-XMJ&Zu9xF6jVt zQom8Eqz8Vkq%u{~P*u`xx}=yc=>R%Vr#e+gNz*e++P_lODXdE}R7vOlTuHk>kvi>V z#x6B-bV+CHlB$m{>HS@l)Frc|J9SB?>yloDl7#Vk>Cd#@ZK|X@R7np5MC+~kMzvnI z<4d|*N_y<#jMnQ)NeSb6ve9@mC@6!$PgaOs3h`wc@f3~tAF@iz963dTcvvRl=Ux%S zcCuNHN3YQHPm?}hM5k_1P4QCkG?5VK)LOBKiQEx!x$0hteyw=AB+pwf@~K1JeWQ$L zy{}=Da0)D232~MttsA|&)Yl!S9_XUK5m=<-suOyP3$Q+fD zxc?&g$L?2aGz7P@LlNKB%uuY=UQ;IUSHy<=jUYxr94S@geve5HvkYb`7_P|W!7^>N ziuB?v`J*o`=XON<0CORn4{2{RpeD;c^hB}NK5$nqrSb6}%dr5hQ+X9K7s?K>oU>p| zA_X(@z30MR2zW6&GJZ?r`mIeV{SvZop|;8W?hw#p?VR=22dv?kePXLyxr>9Hae3h3 z2pdlXxEiR;E99$14t(;c_wdv)kU6f zix4-3PnmTrBM$M}es5&Js-ReGB0y?7ui=b_LMxSd9JVe=LMk~u$4`S4pB=Euf1>zV zs(5yS*Ns-?Z>)V-Ogcxgd+#jgPi5obB5BbG>WH*ZxtNtU%{p1^^T+ml7y(MSk@j`( zRj2orcu?ryWG;LbaQ2PCo~*Xfz zs#V0Bm0P4@x_SjrBgTJ~+ocnzCT9)f_DGu-NSkk$N*7S+pK9}Y%;gvlWK{ZIY4llV z^Y^2S>d)fxab;ucFERhZ&ZvLWU4^Zj-B;c$jCI{1%nLqZ#eOqn%3X8SGI!Zmp&4^{ z#GEcx9dN9&?HC}Z`eidGMZC}cf)vYjFZw~+2m#h#Mz)Z3my=zG?KDL{TCN-;l%W`1 zYI`nOn--qI`^Nlk=LvbSSd~l}1wvyD)G%IV4vTn)>XHgGOX3hPRl*xILgx}>HT-f< z5n)^6cThs zrEO4ur3Fc|s4-%|XwI)BMl>ba_F6+5b5FFY2%~k86$3COq;a-k6kBfg9=1}A?-#Lq zFc*H9#@oUeeN9STLi7G zYl6Jx;9ehp@dN2{4F9Kadv%JN9=Ma_P-$^{4VOxkUFtLLgze*>=eBYF~R9@&kc&3aZ#H){E@O5ouTWv~Bt-DiIz4lre{zct_~Xs6l>ypy3m7b98;=|LqTeG%8 zc^KI<3#&k5FU2LroJ=k3OIk)Am>7cfWyl^|_tt(ytpZHd-!lHgr%Dxbk1o7b*u6Cm z>klV(PbYKFu)A1CV;MbY7Uk9cLH5~X3ha2i5NS0)_ME3H=~W~$rHld06OX=0$y3-e zvD{Tx`?*hiE@;pLputPQp{hgWx!QhkZKuG3c(+mp z^)qkhO>1#vjlkegrS^ceM=B6xSjqSh_<&5Q8SgFO&Ut8dBNN+m*b)UX_dW zkXi{Lt!rc$RH|W6X>Xmbq(@`C=Ae=u+!TVnr!fMIfdB_e`?M+PAx(6iL`Z8fGE&mx zlvJFS9$h7<9#Hna&2FW-C49ET#qwTGN{@(lBPqP0PK%j~N3q$(D0zZWlD5xifL`q^ zFWEV9iO`)>UzRaddFO(vcFSRL!DU8r`K#NimujmHd4IjaC-R4Lb+NwK?HL2LJnNH^XIu|4CJHf8#q+Dwr^vHkaaY3iSAstw)801kV{ygQV)Pbx?(?Xh z%r-JiqEZdiOSm*G|8;XsD+*fiOn*|A(a26K72U(mlKATG|F2md%J?TW;P$~2C}TKK zfsYZCPIZ0ieNy20%Di6$tWXQ$Qfx}|^Sa}|K=y291K5u1U5cvritX6A~H{@ zZAA#aG6dhm&O2t>UP4f0VcB4Zhk(&v{M-c-F*Wss$jyc@VNZ@S(+Dt?UNqb<{Et+>^)Y1soA)Y82MM{b;}plnlVR@fwE7!@PAZMCV}|s!mO+&ql-W! zTon{64~+d1(9bUr&|%3KPHY_S5+l?c=I}(<`whK+7V+LJ6tRJZ2j?VFYG=&x5=97A zJrb^bsH*e+i3m-~0}B7QPYEfmMI1{r3=^&+LR!=at9;@Rx?K>fjW)HLD|;Gc+#}V` z5F6mc(xgniQoUd^WFfc8BrjlrjP2jIK}%AvWYXY_qy~~0+w8HH@(>u$V`?nlNM*s2 z3Ho~lIv@#JgY}-{O~6)TgTax=(616Mzb@zXpU6Cpq+2K<6)K=E0|1vj(8stMiJ$psQNY-jlDvw-1nY2eO;YqLsm+(=Bqb$~#mJyCteGA4ZS!>{u>E?24bI<@9~#c;n- z87W3JJ3|>UP?WZK>S*~?eePjpg(oUq--vgF1kD96y_HA|tmnQh1ZUX0rq((vN#qgP zp#Yonx054&OqbVA$XDq)9C*qKh)qZ8_NLOzX{ zM72gIBy@s3o$#bi_*y57N+&GV30{e@9OtAHX6l3jo#09*jMoXdI^lyPRla~#%0;^C z@`RQ|HB&23ky>Zs_YQCj=o7AAs*i6m)~n(EzhfYfynn8dog>-smz+dKqkQ=nRrd-_ z@D=HV{W@WYPVlA^*6D;2ozN$p@U%`iT_^k^ov=(NoS+lBr4#Pb3GM7RL)9_)(Oor3 zC;Xcj9QaO`4PMJ}0?Z}p*v6fs>gafdvx{U*fr>G9ov%RG43LESY8OW2$(JIIfD$B6 zs1$|d5HY-}csodx=)S(MwAAK5tJu4MQ?a-9m)L(2i-5j^*o12Z0T}6S#0ozbke{EC zB=Iu_0^&D6%0@zL&@v|`-*!Y-(7H&TsJ|p=!IF7D2+5~)=vU)-?eY#m&s7}y>_1}B zJ})6JZidl~IrY1eMBEc$Yxrq)%}dl_0C)vQx#oo{yGbxn-CM8MlKk)sg%W-^Nquzi z!`VP5T;DHORX9bmG9Jqqn;nMcwD>pdbjqBNu`o%F)8zO|*)I*;kGZ5TT8NcsY0vet zt?E((SC9_Ku&m)BY%Wq|BQ*}^nDY}(AK8`@oHq#0i@<3v_$yIpsgno8t~`*;h6sv%cA&W)4Vlwr zKdFiOIvzT$IqHit@5^p)w3#AF%(gZ!ES)Cc9 zN5T9r4Xo_5X<(yykZRyM-jdY~T+M6sIo0P2=F`AjGlAum zSFN<)x>mQ2dNw1$W3x#NEFbWe?lL&ohe$F;wwe9`c#c0Vkg5Qy_xnB z_PQBzJF(YALhU(1?I{`Tg}+Atqd9ancX!dblb@faKi^7yDmG4=Vya6v1M8!>f;r|} z#At2_M7su}T}q8l$kEXm9max`8lK^CSR~H<759UDE1gg({mH>^4`GRAkb(~go4iF8 z?H06PI9FKWBJ0=*c$0SpA5-i*P2vE;-+*|k8kY=;!lYU#il2mzV%6tQwUi!}fmDNC z1YPL{gVrLCqm>zSF0$I_B1KefRQwuhu~SgATjP&-Q!oabK_eaT5qUfCiDz(gu?$FT z?;jw=TpA&OExVs#9R7{RC2#o7ok3C0Ku2n9R*lIn#PR=CM9X`;Fvo+C5UkoROUS`& zqU{Jqv*|ivzX4oexxnKp7Ch&{Py(e#+VzrE4fRlVMkXy^j;}b_zyabvBzPIL#sQVqN{JWll=bqLUS+G6y}u&a z3j7?R%{4j581_5aE6--vlTwI1o}N_q`~l>h%0JWN7%c^!N`Xt$1>&-i?n(DfP|I6( z1tZ?81qW5~t&%=URYn|d{mSFW6=XMXn-qoNGQr1fFTZC@H~ZWXY}s_<&Ja(0V54(3 zX(KrO67N3jf8mBSr?A|!iPxp@?!*4Zh-fHB;JyW)hO606y}0`jjCTKV1v~iVWfY+_ zO|q*n2VS|3*ts*{lL6Aow|HD-5^+6sj(|VOCz>I$odfIHY_KU$wAqR$2Er4AJT9l? z>D!4XDkOK3C+O~se8;hcUQZ{f3|jjlUWX7Gs@mCUWvvg69LmAq<^nl# z6CTl*f#8#SR5AzmbiVNz*fgsOYe&K@cyTjvgCI2J^VYc-w9uNr6EI87SooG@RMgiF zVEMd+=s?USE@sIiE*1R^&Y7pM0ouS0i_^w)t7$ZJRkmzmc8-;?(~A?&a0#S+gz`G~ zmp*H|&)O9K^9osX=EIem3_WuwiaO*;hu%M(45!N zwpvg@xsp`JjVRW?nfZ0UEzdY_mMBHzk70)5a+ZtyUP4Lg@;kO^NO- zlvIQF*rC|3AFVpT<9a}_$h4OhNn4>I#eRdKw8st^8KT!7NA4RD@1MxtQD05(eVX1f zL0k*HN(9w-TxUzf?GSc3_$#Vf#9?%jtFmfB#9txhrW7BXyFx7ov^_RvlKURZn&Zel zGlN|B|1Y^pKPeOgg#i)o`(VNlF>Z+yAkGXpz&H}9dJ7qoq4kfJeT*WQV8C^aYLt9W zYz)9z>=dK@_ir=ry8JEtxy9dE0?CMCAN zSmh=|!gUm_NIZjbKlx1kKpLBtWR~L@=8w!OLBl>MWf_NVz_Ao|U=oaqU&s6zi0ZOM z=S9ccqBESWt5=G3a_dTkLXEJDrb!J0_`eUW`jb+8w#VTmaqe_^E$1dJ%B!Wc4pBb3 zlPH%qPKxpiQ|GHcE6+M*rFVp}&Jcjv<4)W24oL}%>lqgvTgVE3#2Z=t9 zXu@$H;W**b1&oL`0ca!Qgk%K%IYMV}O!1HN*v)@lU3b}|wCwn(h`h9ScW;abcn9`@ ztSrSmhhKyQU*v8(e11N1QMIXvT)Bq0Eq*%pUCIaU*ROGpR?YU`S?OlGwDW%b|Ly(j zyj0t5udv<>!ttY`1s4yGPQ2JYia$>IgWBh~m{v*dmwbovmM{+Vmfg@$bWl%H!2>_#jYWBTPr6f$Q|o)58EhASY4pI!PNDIf)On3O{Nz8GO_CraGq21LTuG>! zgB&3N&pC?3RvnGrmTTu0b~Qc=bbj^VSHk5|d1Zu~^J8=mFK_%1h=LhUeE5@<%%!*G zI%_z^9fKZjIr0?6W4b%px5YXh)toyc_=BQWNf6_(d?%WD?8=Tu_3-aV-c1xFpcgte zORDAXE{az7LQ&;a>r#EK)TdgPR#RNldZ1$xCaR;w_5STG(vF?ZBVw-me=p;Mt?7j8 zOjSD$=<91(KoFJQUWMaS!^azo<E z6MgnzO#764NegDxulr;-oATF!5Ep|I28^bwA#quM6iD^{X+O{CP!_ zu{)5fJ!n52u)ew>)bHznr)9>j)f4HTB;p_FE6ySWi-AwGRwE>3aI@xhIpT?3otPTU zL|A-JJ9y%OXx<(%t-=36E6=tp_`3F&@_y=qPvym~ymv!9 zh=)(gfji?1r-G7Ogjn#fKi%BQT0J=;)Yy=3d(m#%as9qO`qDr!eBx>>K5LYP+zzo?}XK5;$! z!j+M4Z8NS8S~LWw{qKE;uU2)-Uye@^CerK7Urt+#IcEJ-b8-u=fLom6HARQF#&} zhhAvw8pO4K$g|m8V!$~eYq2tQYduvi#v=}B_e%WXT!$A$VSc;sRho+p_#VYR&wg{U z9O(t3&lcAa85@?MPi(%})u=%nV+AcH=NpRyK`I%kXV{1(X>X2teO4VsAkk<+#~RvT00RLF4Uh~ZI0G{f zA!wqJi<2PKm|!k~7P%O-#Fqi|XpdUkgVy%g^S3Saw3S*f37`a22;PeKcuX~mdE==^8 z$Hbyo(Z}v>U$C!~;R)pLm14X^-z9Vh1n#D7p3{w8yVEz-praVw2 zCTWJvZIc1RJ}r877MMskg+ixl&|sT?%3RY`V2|J2HdlAA%Z`+U5_22fV;Uy$yxzT1 zxXghV=WfaL?>=kR&91xd++T!l2Fe}`AC{&Br^>?flCVY=2rnl6lFm}_eY;4FTG!<| z9P8FWiBb;xQUc&&en)F01(;I_y0< zFra&2KqMZZ2H}3%vZ2`A%RcsbDp$sc>6KMJlVX>z62F7F)My~r;fp>dBuIp&J&&Mi zFJVL_1WV7i{gfzmgf4t*Nx*~{$*Nc`2HrN(dqv@P3%DeZIct4XON*~9keizL;%4i+ z8Q3M{8O%Wb>%808mYeG}|EhMha!vvVUlzWW=i)vJgs)5uhL<^5Y1nW0LoTM-kt=|d zbpUiM0Ok&elKxieX7k|3jAs60XvP)2=iZL)2RjA!x7Ym#UqSO^U+6Ig=S6>b6c1xz zMXRV|&9Hf4tWX#2ZQ6jgJ^Fm!P2C)qY`hjjZJplM&f^qiK2D|{Z+^QagAPK3L)gof z{g*o<35z-mo&(YhXu7}}N9GE&b=(<1H?(gB+WZn>NFbiqeQ3GyQHiN|^s}?E#8b&s zS3ZNftb6;@s+~jpvYzeH>zVcNo9sMzMK_QSBj|#X{w2jyI^4fsghL8v^I!1ie+EM{ zH=K2ITtC;_2QIk5n<{0>iDw!CeHN`M|1sLENV78YM5^J00@T$<1k2=3K$V}BJ&}Hc zsnG9dHjKB+XC9OYu?hunQR9Vd)4xcs3p9GJc}TcEDQLnJI&!ha#6yDejNU#6#b;&} z$f0X^PEt`R?-gx3ONqd8bAbuuAC>Gta?1muqoP&l-ui3i)*rr{qW)1DUY!JCdLg0y zEZ*~ds4vijcJ$O922W!{XaYA?zSJjXC zQ=Vl~6`jjS_Hip2t|MVSM_BVYi}~C$*nA%TlKF%%?6caT=F{d+?D^b_mL&5D@@E|c zB~u|QW+BGer*2^O+TI^pH3D zm@kSV@sg}0nJkiLG6}7{(Bk(wHoT0v6rOV#q##4ixV@Knt1;OF-|RE@1=>n-xPu-y zpc@Fi5rmz@>O<>sCi?>>+t*f^s+K9tD}z}?@_+$T#rPK{x04)zX`>k&I=ozaB^klJ~~p_fpWW0;a5d< z*&BThDe(mO9*E!mmLY_F*gK45)g63(q|yb=Lz0y2glht$B?&!w>>C4hC7epb3O)>$fvs|Q*Ml?z+DDN62h z?GiV^Tx9IB1zQwZHP};4#kdoi^HAqXe^5F-y+ehuE1WVucTCp;*dT@x#I)u>S#^=+%64 zayvaszW@O97LA&)K5aLbIHNs94ia$#OnM?#JEUhpvu1)P&~~31v7lKu0j~X_+>OL| z6+Xc{ASosRC6-PTlqR0jrk9F2wdn!n6o*@pf6zES-?SR*E6W zLy<-H2cF2CT)OmAS*rPr_aSLJZ$U0F>%Ntf`Z3ian;&GIC^fo;dBAE$ ziTlFGq3or`P8Gb%_U=+%j$EwRcIEA|y=?4`tbc%2al>WvFwJc3%tuhD>35d($+q*!jf%9fXWi+ZjjYicdu=rz< zqUc4$ia;5=RrhsVhXvZ^r@}0}fTZEoV7Q6_>0C1mRdshOCor%a&%l{@+0T0an1Mf# z|EgL?V*6RFVRU$Tui2Lmi=KyGJ-bU9%Z1%kIFC~m6R-pY=E^#Tu6S7C`7E5~D=YuWgUU-&hyD&gokI^=m z3aAfZ!a=a$c$M`x7*zlMy|U;8@}H;q@H>&Ruwx_3(ser^3I0BMKO80!vd4BAon(0< zBGcO^OhOi)qI{p>XVbwZ`A-tB2+>k`6Gyh!vO6GUwQK`eP?o&FNRUD9{?KE)yrnPN z$rX#w>v>_>YFcG;0l+R>-Dpv}cD6s62rq>_q4->B$m{NkKQjVvh$@%+ddwb28H){b z0OccUEFjQOI>i^$0#{nBQM>EJoh*;5k5O3*FZ8Mq-!Chl?mdmClx(Ck4#ts>sd^q0rZsh zUDj@sgvz(Pa@r_9Y@w9Eq1#gP;nVCM3o`7=!b4DRSoHH>k>040dl5K_bgoR$M z@bZQvq<5^3_f5y%wvquS;H7x)|4>5zN=>A0f1+BYV$EwKh)xPbRwB!XN5ymCi|3P7T&5?FysY}Pkt5-K+Zs4!F2(70*Fg zSdAY%y_{^TI=BoR&mpEjsU!8v@+jl;0fT2a6Y{`hkY})ZkW_itx4Wc2;9}4F0f#Hq!s9*cOv`5sGir}JUzu+iL(b6edENJer59M|< ztU$~y8r#O+ql77hSi4p}ScUnO_4fwr%tl?XOf6ziTGzy(9k`N9|G>6POVS^E5~ZyXEczvj#5^4yF5{f~3U z3MqaT;+szs*6&%}6nL_5mkMIpT0Ozy$98#EAH0K0=>Et7G07@I_GS6|2Sm+6{gO;{ zgCh5o^ozBMLu!1Zh3N=x-P^gus?m|#arB?kShG|x+ifspuB?HX$iu8&NJ?u%?yj^f zE31A>m~6W%^;XU5fr!WcU4+r2BpX{Z7X+cwb(qgg*8z5EB9VSe5Xn;}4Bjd50@3F% zh;IYL=pmeC2@t%bfZ$K`6Ci-Sd5SL$1oRppsN$ah!O=Ct0@xI8z0V#k0Rpk>7LVdM z78BqVlRXT;euK>?#r_SX=)3}!qd zO9Ug_zpvuba@DgID3lJB_iaU7B7otLIS!=uS?Maf2pKBTT|{>gl?4;f?(s9xcd02B z3M`Q8;Z#787bZDqo)VkqD9u6uZp|}iY%T?SJPxvdF_lJ-liA31+v4coU0%J`8NqmnSPuK_GT&-Kb$|voy97)nUxC_TvTLe zxcJ(l(?}t&3j9;eU|iVms|@rIj%X$rDS$MQwq&?uo6m8JwCjW}Xy_6dfIt_k)+xZ2 zg-4Js8P+_3v3G138}kNA9u%bs%@M{J7)y3vC!$fm`5jvPn!s2fd;$MluPSQ7GwtqH z?hP?r)syoW+n4+ZWa3e#iel}IgJ0JgVC-O1a{}mnPvs!^siwv5yzJX=6{s8i297`U zn6I__3;KFcbrlFoKMiQa<-Lx|P6>qiRKZ;eE#ciKKA_ZcOr>so@*JFEA{2jf?8ldd`lT1N{Axk*eAhQpg%Y?{l z6!Huk204_xrV<`o0ZheI1zZ)RmOP5J4j?C>oN7ZHor{lG$;x6_`2tz_uB@J_fUVlf zB&I0j#K8jQuc|U@s=!c|N?IY*jCvJNL(aaYt&%KLpj!}Bf#7frf-|MXSzwHu&+)0C z@yolNrKnw&4Uc-lo7F;`}$51r$V*o%l<$>;R*T8NQJZ=!IdWNW=Sv_tLtlF)jD#i_hRX^uR!DxBv9BI1Y1i^#O5zjEkvGr;_~<= zQG&!Q?Lk#&tcFG5@?vlq`TMv$wirP(Fix1jpjiQR6DF{F9B3?qXW_DMi-pTuEO*RK zTnm?f#aMsk%DDsJskX4#UM@876;E;Rs?je{` zBZ7NkEZ3Ok(OAyKZVMBG=DKm7Anz1`lCQC1gO&>tSW~x3Hz=O}jZy`Q2f_0fhzelU z>xM2q1ndV{o`0vJ2E}SNW+I+SFJX2x2FLc-j8~T0tI2wt{RM-D>m0(tz8sCP{9-uI z+OvsZfMvLnC#kEPP7>IWvNk*argB=T4@!ZQYp&W-D>0as|;`d^DBWIwE(Dnx9oagJN}al zilq~iM%k}hzN&USAcbt*o@rH4^Mqi~n446ZjM762 zpF+AW6dcNM_2~o*>Uv~5;)o_hdQKls!EAf)v3M(4ye34`d6n}k<99Y#8O?3YS}^M)I0&h zP&MY~Do2%bz2&C=M7bz`5=-x_ZqY-@lh`}SoPK8i>f*gqilGPs+}mdAHT~)syjpW( z%?H0M@$~Nu-HcB+$#_+zpJFuwj$O^B8eA=Sks-F`Q$fOyRSv~@$q3tB9%b))cX%HG zqy))1S-62uk*vs>LLE@ase;J?JSV;Zj&7zRP3M$BP8~RDK*3K`go5UabHbCA;sISK zmF8tsaNgj~s6>K%Pz$A%d>K$s0m7vvj`DER3uAc8NbR3StOLfBE_7wli!kP zOHm@+mJ__z#Z zGi8mH>97t})r`pH*r_OEoh&bIGB1aPOOu12LmadE^4}}tNSMP8dX|+*carr8#)j@B zzlnLJgG?;3SxNjj&Q?tadb37I-?K&{;?v!?TP`ZL^o83cWJrHzgG}=IqP`O8DOVGo zz5pnL0MpY9ju0bHTfw8tH>&9D+r+gHL?mP9>}hne6!l6I)9WaXpboK}D)T#IIEm%4 zUNj-E%7groqg1jus6gICUDBry*aU7lljzyNhqb;bQ0A~^#=pbo!PBBwXdRicMN_L6 z+V+4pylb7jvz{GTnr9!2ns`O|6TndLS!s#;3M;J`&G?BM7xY)p$J+p>; zE!N2+gHgcvYCza4r+iPa?yGZ3>u`=JG2(bgq7GTYC9IClGfQ3Na+$ydq;V7~EJTz` zt&BU*>qvH~EwLIopWVgJymo#r-bpHT2A6kV z?nY|GYai0(S;uznJnJ0KZ@!tROs0<7dw*n|zTcwHq3wfm&dpI9@^MPe(XSll8gy=@ z9DFOwS)6f4^hvlJeRp#be)l|@$Vqv4?&pLYjjRo-6Yyo6fcxSn;OhK)|6G0kO_CGO zznQ%99C_^y6*sv}vFY6m>PNSz^c}g^5-`VHxKG%AG~Tx63RlN12%kBA5`p@(+qZ?W zoyb6>zXG~(IvG3g=6h!)5>yVq-%2?A&Y*vR&|lO!=4!wBiq=#5hv)hToWPngk5&%Km#4mfwlTsB7J} zn(^~)$pO4pI+DNa?0VpNx2glm`M+}Bt@5zMe8qWpApdauyn8f*^=xmwujsXPD;Nzu zHu)$)GAz$B#;1!45QBqy`;%XK@*V5jmz=Sua)+X2zp4s@;ZNJj3+iSbC&1?%7riqf zJ8~|5e62v)L%Dql)5dPj?Y2H{$!)hjc!`4#M)#6W0jJ;QZp7!l;jMH<4n|*bwIIm_ z8G`fU@1-myL{B*aAk{w>OzGh6UhXn={B0hTTSY6;)dU})7QHS-pV50!P-Y#2`)DvSdf(M_7Nb)1;%%@k$pnfX#l#q_2Z))*DM?Phtq%xsU z0;^BZ}6(&(ts^vDb($p zYXIool*Z64`GO+%qxY{4)#2LE;u7@^_Ap?J>m>V_SZQMil_s`cpV0EnnICp2rfUcG zEBX+Lb3{v5Ek!ChDMsmZ76WBzPGzba6MIlVmWY&O!f8MztEVJO^{0r+xV|bNCw$iZ ziQcpQyg_}ov?W2_PS>RrVYVFV^16c?Z|wozp?=$M7BeVH4VtBl3fARTvfmuy;qvB? z$eRZ&9l^yeImr^vMYLO)uIO`0S+2C`FYc{KT7(xxonRARj4TUc#8w)-(r-SMpft$t zh(Fn{qc4cApfE0!#~E)`rwZN0QBlCyX@?2FXP_!b*e*LvrDF$3SbIDSpVA@xsp$TF z-_N0bqW1i{3V*olbNjr_nnR!rrFEr5m?u(=z!4}xCcn%tUi1m^s$ZgVR1}*4OT+MC zsU@3o;)U3Hg&d_bqK^tSMmRK626ATP?}wsMuNty48M0m?ts#4zFSe62bI^WyFA!eB zvFNN+4x9g?h3ZeZTOT0_6rx8C=HsFFs`4L0m(NzeP*wU{yN@Zp@(Znd5y<~!2e%Nq z+4`R(oU2gGB-#IRlq9D_+&sy2anr{!d|*tHM994c(ODdjDMQ6^qk#Q0XxlHATtSpD zZ#Q5{k_Ck5Mo%?5&5bQ2uA%UWr2n}Qaieh9F~L%ndF$!XPyE+1+elA07T{k7BL;1AbKpV zGHO8%EpNC@J~XEJZS~yP{*(z)`nesc?BbKVnfP|@pmeI>n2tp|W0Tx13DB`nkq%L0 zQu-Gvu8(O>j^)cph;t=NHk4JXJ5{KZB)h2+f6;;U*C|=)QL8u1y^!7neVZQrRpgH4v5Kc&J$2fT|JE6HtTz9f%+omRgXBKh!L< z{}|_6jeJ1@j>|N>s8ny{>kY3^O%(c!4;i{XDlKhsy6N_b+EaUL*bxm^v|yp z-cZz!<&011Rtb_H0hJCU>Q-qi7u_n^7o%IXfMa9Po3rp+SRf!RkA<(wF;uP2m4471 zDn^(baZ{rtDjf=7AfyoRI3Jv+A65c{1QtD0C8=VF70itnp@@T3fmI=~HZ?%EM^z(h zt^4{FzzE~80SnW}SPql%u+%TwTOvcDc!Ru(oOJTIN2aTjTdZVQ{~Y{}Fw78yx2})6 zH?L07Y;|eT`|hpD5~CEejxk&q{>j})NDyXP_M0HN#X(Xjh<@DSto{4<2#I7rfIcke z^{3|q^Pi2=M_DnG`XC`p;C=@f;$p*iM7S+bRy3*d{ARm9f1kh#Dlyd}UM=Y(Uc{A1jB(U`Vz8I1aVITByS8TDzOl{Xq6#3p``5|fj22ZXMT}uz`U19+lhEHroLX; z?JN3+d;2SNT&|nQ0Kj;lSOdqbc$HxOKIE=La)3S50RcM;z%G!4m@HwZ0S}JG_mkM$ zOYthLu3-M(WY^)fR_6TU{{8!o$qeSRJ7QwE?Y!NlKdgo>o31AdMTw0Uq^Lr!LUV17 zPvA<3f2E~*Q-#v3^cOZ!%xPr=QbgW<5{aL7=gCp(s5BXJ`~q=E7ORgYRsy6DO}ZtP zC@_W0ZpN1MFR5xJT5`)n9F=dztFLlM8)-zp+FdD9u~ekWpxGIAe&`~?MU@3A-QgkJ zYP8P4m;v6OBKMLTo&`+Bh6_YVIqW(vqsob+*+I(z7=S&4cY**L2Z%`_)md6IS^7vN zaGX5fgPP}Hb+kNyI74mAu>wH9Ym_)4`&U;8t9`y`qb+@Eh5LMXWV&Pz+Z(~WJ~ChO=~ZX(Iptd&r^lN+lQ{GqJeDL-Q9Enard$DS@_38CoS)dRg!IFj0$S#}X-!Y9gDWS7pnD zZ3wtA5nB4>R%M9@iI<6lc%`-JVLU3hfqC6>ZUs@4a3ySYtev08ZbW(ky;5=;EwZ8L z&<+w=n?*kC?PH#`p%jUYFnx0COLm^5z)HQyZ|tjpSO*6KqrJCU;+t)@7)6Xqcx)>a z9@Dw;4HlCN+szr@=cCl@E6tzM!k4bpAR%O!B!61sxrcTAsSc^GF1O@iisaE- zxwqhpoJpwJC-K=*Q^?u;IwOkmcsc6czM{w0ZNOU3%M^+&o*2J}(DCnuFNp|nk=k#! zV%ubfm>Lw@$2?=<`nyl;iC^NAwrBr@+>)dBOkdkP7D!@dtC-n%vNsajivXH|HD!R;4g}NN&5`{7c&kBfl? zpIoG_LCNF*UM1GS*na*<$1Ezs)TyoywqcJi8?)6!E&yYAbVw@joj&Q+3>tqUA&8yAv_(qDer;C&hEWHMmB z$w`TO>rjgEn(uiZ-ATt1 ze1MEL;lY4_^JcPn=}FtArVr4adk8HDx1IPUH7(h*0{p<-chE{p`_>3d62T(T=(|y{$+G`E#=7smkSVA%6uI#E=%|iNro1q`wWC z0fMfaC6%TBLduFKYk65&i+T-vM>K>NbiFE>*elxayjl$e>BZ=%KwQZp^_=F)K*;&_ zi%f{RBIh-add+9@N54b}cjLCuDfQ^vZ-tz+9?NiF_g{R`_s4-0_I}rsfSJqwHQp8O zhU`Dr$mCTzkaA@DQab(NS&&97b0|T_Bc%13?PJ`Q{f5rg&b}y@?T?n`vo1O7D8l>T zFjZdqWq1PloxZRy%N`GJc-HY1?s~R1tJ{HEf5{5>7kKJBKk~Xaln&cPyrXqb226r? z7ikXAo-YojCPuuRy1N}2F-W&0^+opGvMK-?%@ z4)rSY7-I6sFFegwWzZ(^zFDdHM9_RCU{d;18@{t*$Gnj1I_j;Z4l`?uw+NF>?S6L< z!yN5+0!*Yk$YV?ggDfl02se2f^{~JFF%GRlWIi{9z|8D|L*Ai-08nRzG}_E!5$Dk- z%%39A*{HJc9vDy&2w#JpjWjT83(FP=yRC;<46L-#@Zvz|o4~Sr^K(*QNa*Hc*@`Ecy}pz2vE^gG1c=6GFYHAgQ}8O!X9pHoL^o2RW(ayAf0Cwp|xW#Vmf^w73! zK4(Q8JNZnL0vz}H%nhu#QTO%v;JJuO7?|tdQyZ)72T-80$ClGl!56RTxKS8$/ z2Hl*ukc9oe46#6pY`mPiRJIB^y0GSDzeC~;*(T!vI!j2wi{X}^Tj1M1$2@@re%O0T zS~tzlk$DKK;BrXqoJwj;|7^k9kH6@-4WlSvG(o+9OLi6?J$`a45+z3DgmYsTf&Dmb z{0F!cf(6wQSZ&?6(tC**Hp3{KKra>@At7Sr!+LHn5c)u^?ZS=OoZ{gbG7b^F=D%<> z&WHVu7*0$dC&s~>? z#YMUGOu}=eZ9z-}aCu^$L+}<|1-Q2q?slg+AXkn+(V_Ldy+ikxIcO+Toc>cvfklIl zyNNHj^y|c7)TgS$UUj)t#@`d!q#EpOBtB>=qpv8e?H3#_uo&-ht0)N(6rQFE0>dM) zxs)txk@-|Kd*XDVF1&P-r#_y<9wr|Qel+`J^--O>Qr;d|$8B*yVKty2505SJRG@*ejVC0#q0Q}AFoYqLN9WeJY$kKn3D2Ez-P8K!Hy z*K}?3VqO&E^IXBESiy(0z2@BGZLUe)C^kNl);%TYf&8?r=(Y8CNj)CvDoxa&UoLAS z{l&x$7A|A_81OGiMIRx40Uk5YJUT5#70vYI=VdNT_*GI1?}y?9LwjeL>TQMT_~wPOHu*xX9h5N|FLDCcVXpnpF)KDY z7v#JlnRk7@5vY`AoLESbH_X%-~^o}6+ z|F&aV9{7^u&X_Ro9XcEgU-UWq9n<*>604)n?8AJ`52=mKoqRHvTWEyiu*jMma@jW1 zu}7tJwh%4*Ta}@73&h*`J(VM{#qlLsW?5M-*I9rr=XZ1##7=|O;=e-MK~N;$Y5D}OIBnb%KeMJap< zkyi#b(cIOrHs|bh-*AIdrucl3^krt{QpY6}SB5|dp4&CV8$D23bilpU(mr=yNgND9 zFm%A%<{CocsRa0#FCZ|;C)4I_bDTs(F}}8O%vy(g`;}_eI{X+Du|=?=OpF+utK^>} zw>zlh59Im)n`TV^Mm}HV6EJf8iLQzN3+1ntQXeeuj!>&!BfwTYP}VDn&^8{(O#>&!Bzd5M{sSZukN&e?+%FhLg(L^*m} zlA7m^4Rh7e#FB$#dgn-ND4yXnHWYH8Xgd2;(16i+i9i_*27Ud*(Z>YCv76@b7X8(| z?F@{M$YQ+GZ~iqX^q>JYTV1ftf5)~L24sxj2x3WAmH>mW7UxsqEHkj%!KCbt9smWm zp3Te!LI(n1A(*`V8`j(=TA%~0!N{u5$$u*O(Nxq^I#M+{!|}XKDbvWsVT@xDFVp!v z$^X(NeYWQC9loX0BxVi=OZ|{eEpxOxF}2{}31x57sb!XKOiZn2DV9Sug%dOPwi$X( zrYF!xKN;iwnH?|2wUK!lSV+hECzTPqJ*mN>&)wVZ1pnrTr@xm_-Ul4y3PPS?R^00d zgdF!q5Awpcd+YCIkj*J?5RFc!Ir<16-u%vJ2Ub|!*Zqb8R);v4MC{u1Iuj|@>JGFX zI3Dc~11V4BcVIfq!R~1jX7PggXt^u<@1fFR$Gw0g2mB0ZM%Ls0kYm^i_sLn0`&bGI zaqahoIP*K%wck%#2d6Kbz*KVvq0*xLXeXBJl33Z)Vb4Pjo%k>EFz>A#)4ZK`LYBd~leFhvgefD)@uqH=REh2RS&&C1nZU z-ymqe^Mijg45@a%vzIRbo3M}d*KUM|hVSxr3QYeiVZQy2B&j(bZl+(mgYdS1!(#`+ zF{CfE1IajfGA)cUzI041xs@!sKzPU!Mk1PhxPaW|e;=dJLTvrF%gdk3I2Da%kC7Pq zI?dNwlRK3b1ms;@Vnt5Gu%LtucOPJ?@Z=RD!R5Fin*GT+jMM(sX!5$>P+!T?C6=vn zcvhsY(>U^N&Xb>$F;B{?xzb&d;dVjO@j6|6b-G4^zHf;`X>nBu`}Dig8f9 zIb_njp_md^d!q}isr?XJ+DHH|WzF8qR<)Ciksk2>#-m#p@{$LVT4!Y6Mxgup$N1gv zbmEaFL?%=1=Jw_Vk=cxRWIb6TxANl)XFoDYob+GgM6OGd*>4#eIYJ!CJ;ZOb;x|Zq zHSznMyZ#+r6bdbw6ut3@$eba3ZH~4SN4D}MJ1fo+kVTrEk$+RoY(_Qvab=6oFIt`; zb$S|wd80?7PCrGdF-kB!&H>zhfDw@Gd8?Y-M-#2<;-vExafvRj3{zLK1_a^}aEivF%lPzet( zntx}Cke<7zW!F*khM|S+J?~LPcor|wCaoz0Q*IHwW0=!WH!hIb>CNKZ6QI#NDjTkt zh|+xA{1ZbK*~!*A9z~B?8g$f6WVfQ&Bek4Mp_7P{eZrwgi-6Jfp8!>n#|1e|=Qpg1 zn@_USM6)+iEr)^5)@VvgNvzlj2{ks4CFkoFuCxpbS0;%Nu{X<38_k{(YkBXG!j~kL z({^S21#0+kuy}6_G1=60E7aBI6_`{rlV&&P1p0z z+czdJ0>4YNbLCb#_s2w z`QBlDhl4qmzf=5WoX-aPcv;WmE9AQnA#P!Z?+>j1{87?bcnafH`P`)_uR7m0r4o_H ze%giika&T=OOzZ|I>xE_jQ@mM@WN0uJ4!R-)Zj@l?h>Jt(J`+Q0bGaEgZO*i6C8q; zM2f3E12Qz4#+n2_dZJe=%tOieqU)K6r(wgr@-ewY*$vh5Rb7^Ix6r4?7 zx-PB0M*L3YZ=S#?^J;yAvsMP6wKIzB*y$w!us0V+yyD_rg!8y_G`~q|#A$+h-81rc zDpzm-N$%JkyojCOG-tN|i)hPQUnt$j2L#_KPRhYe)5^<$p{2WrLo8QJ^X9Zv1oHQ| zA2>e?)+fi8a>V_BcL32N))jGy6sg=Ajb+IpeUv3Eo%DHRN&d8cC zXwGL&o|+1W`NUIW)g!2pePF*RTLk;OyStdE$c2*GeCtsn;kDo{ z;5WX_H%*^za~0uk6{`}(ISW)+!x4!P-a=6yK0Ly>{ZI-pukVydxQ}vQ+x1e7G(-h@ zcgq5A@m|+&;WN_C1lc)QK$fwrlxG9JxD~RzM6(+ylhsGKHp&y`EL_&-zJ(D%Azmt- zD3wxM33>~B0)8%rJ~ix1i9Dj#jyrR^7%a?A%9vqvH?|IYeBsfBizN4qaX7u~8dIeI zki6Wp32xns5!BZj5qt|>7m{wxgIWg2JJiZ+49FW9J9yqb0I<{@CmTGK#c}xErDg|q z;N|VEO?~yvwRPT2AFise^>e0S_7xuRhG!?04exT_?cMajdA0Q|ZI0Zs;YTRPVSdKI zry_cD@ycpz`Z+f+USs--qi#;LPQhbrG>jSTLz0Z-ls)_~$Hlt3WgXs|olcl+|b(y~>LF zM$^@#7}eB7@kw30Pv-Fr?-JRfN7!=DH}`&bZ_9jDUEs|pYL%>{Bae3S<1^ZF zA+O`6r&E{=Ly7EjeF6(C)7%#k& zu=DuaE*B%SyOff&T)FeNeg9~wd4RBcLHWor2%RtVkUIP_?^7p`h+4M8wZSAi_dG0J zyfb$rUh9N3Jo!;|Kw4^!dHq+UfdeV24VdGU0dHT&J5Kddj{Cw-b_-|j3olu=VwQVC z^N^h8?_zAhG$(KjI3gn9e zxze<$@>L*TCGy3tx|CygFUrAm*qp z1$W5E|HxEnRj5hd)Y>iR&`K(R(scS05@f~_JSv1zpcYwaLV~_C?Ghg9rh_Cn!*mW! zNO0Ir@bED!ew69_^Mmmw{MwH9KJ1|e0c_3$6B2AA!CVX6FYjPv?jH%by9L~N#(f~T zdt(?N;4V)N#erW?ArAcLwL9_?QDLq|1#T9lCsUE2f*SowL4{>8ERbgoddg^oMGX1n z9%>N#&HlDUSX`bb51_!KsLq%l%7!WXr+<**dK7}}M2|rsg)Hg1-LyJ99-S zA?E4@3dB;q%yR(a$Z9%8?}ER+V!1vj^HWwBl?#F0e98?%pOvDVW8d~CIC@!pcVlQIaoQ=vK^_vCIQMBXHu>U~IB<9%4# z(qDh5jS)j1_2ap%(~lbN&A(;&W%D?kPy~8E0>yUnNw=LlsaW3foaH{paodM;(1cIU zXdFV;r+PEUafIdXBhg~M&3(~EvSanoXXJ2vOa3_qIKU@iO{GxPi zqy#_bzTtX;Ika(C>`_{|?i-p3K&qY0$ygtS*HJiS_96M^G6L7&KcYpBEg!k79Xq6+ zPu%D1$6Yez-)Jm$7B1Y&SdyXhBlkteq<&OP&Y7_SHH53iA_bjML9=Li2Sv$ANtJq{ zZ%zx;z2o^aS@YnjLZuq5^+BA{mRkT$~TpF5rN)%)r-B&(i^!T zC=zpL3z?-CVgnw#1avt28p%Q$ZW!e4abM^h0T4#Ys0{yM{=J60m2;pB=PzcevX{tf z982h3^$Y4=7nW5iODdDoB2kpDd^rZ?rKW`n%Hjfrj9*7>GBd9<$y6U=Hs-fYKiad# zX$60L6^8d8=T<#MN!N!mfO3K9oTnPQ%=91KOAFjpg#>=YG)##;z#Q$SoEs>Irar~1 zVh8=^`_jXg)x^zzrXcZ%DSb&u&=-VGh^i{q#PNqBdR>*FYS`${D{>G9g-m-00`~UA+o$5 z$&rHqw!Z6s)B8=djyHTWL0%tAtIN0ak|WIh2fvk}a2*vc6lL73LQ0`F-ql0*w#{3B zF0+TYmUk__C-fmIzrLam)>orn;#@b!7rsE9cRS7qw7EK^P0+zk)m-^dt&|TM*MWN6 z!FA92iVj_ShB`gz-#(RJjKdvT*JsU&G&(jjzBcab3U!ykmr0Nbcu-B3=@>c4Ox$~) zJriuYbV6rJLT^telQKlIVn@8cC9(bv(uP2r>X-rx_jS+G7=UQx*Fc2FZb#2daK&#P zQIPOG0eY)dtzV?9s}F?d41fnFWhCPng9po>2oH8h93JeDM0n_0{~Mm)bZ?he_2TD! zjx+j|k7gB`J&~RlNJJAwSi5CA{bQ0-)?F!$>v!HI^V~0g%>TdJz74rj!Pm79c=g^N zhu3j>TJ~%&EV3Ox=B*bFRTW?upazcYy%%QBf))? zon$7&W;XIH_CqeFD8_~RE!|Q)O&7=)Yd*qh$TL%l3*wy)i#N8oq{tGOt4NR^#3ddQ zTCZ8j{trpRBDLk&^zKeo(uYCW^*r%w0nww1uiKK6z}HQN!YIB@F?lh@E=9@?VI~L> z=wvyB_mfFXcgV)h7an)Byf1WAeT#06jLbc1YZM6Q-fH>n+c;y97r~IV!%!h>;#X`X zz!qc=ohC*8R*itK<85dD!I*`IvE0uo4X+Z#ox6Uc7U~SwP(fUbFf4_&A>6-xXX&hWh+4$EbX)8{1WaY4{Tv!G`&IYs4}u|V^}OMfrE6gz zbjaWFx>M_ir1y};7aGYkRcTVFOSD$1e4M**HjUq*?yLCHB|ikm1!DwXAFv)D-GNNPJ_7(hr9*;SS~T<~I=&(Vw(h!QAqdkaOvtPzn7=BIHc;ya+7br1bx6qpV$uIo7GpbG9TbsvYICh(*F~h8j;fiLMqSYC-Yo3 z95+d5AEBsa%Dc>Z_~=-sv^~Qd{?(mgv9&u@)VIDVzt0!q3{-V#J;e>)r2s>kM=Whs zos)fRm0JdwUS={cRr^&pRS${!yWLHdP<4|u@vc4j-*jT+z^?sXLbD0=ZF+1cK#X>a zgL|rIxcrrCh^slV0)>HIeibD1rr0udl`M8Y4Sd}}MtN7~He4Y^3Q53c!E+%*foB?>vJ?BkFQM6;i<(s;f^$TUE{q$I4deSG0x5iq^? zV=3u_KUfX@yNHwEIZ|GTwucv^A<@~E?`yjp2IO)Ux65;)*%zq_XQzf2r*qdugvsZdJ^l~gC)!oq6t0lK0R*tWHLQ8 zIG)Y%X?gzcpehql?N(d-OW?QEYVJQ)&pm82X%m6UVe3~A47Iqi8C;u!gc zkn+~=`;6wHI2oKB?iZOc-An(i#E+Et(8*pC?K^!^UecBlc8my^voiuBJ_vI?u5F%& z$?}ICos^vyb}Wqh3NSCD3XH{14Lfd*$Ct#$#Fi7;0*d(f=t=mGAN7ZSx{@#r!oZ4% zb+qbXlP3Y#)2twXJ%%Npy2;xgOWv}Az>=Z?7;#Wy1S2|B5;*vNhsIj!`nC9w{puZ3 z&I?MNAHgdiJ=dJhghJ?$ybfJ8zt?tpTiP04o|i{DaXuhjVYKJ2ae3zP9t2 z;_V)2gk_3LR^<5w`D_8ik)L`LD0aR~t0{LA*_pE1NTuSAccW6o8-dFuBx^*det zev4nb4VD`nlXjBiaH-!rDnMA=nd1CS-?-+#8Ru5{F*56BkehFEpD# zA!mkipc4qEZ)WfVX4z_U@k*Z=To$>9hm@ow)DWa3m80;$rm3uE?e1GT%nrgC_5b_# zPmI8-5#yZ|A!~mv_H*@6hfJ?LMvD zmj~pVFxjf_J?-ACUAx?U1N`sla*k=&7!d!UF8{aMJ*4A*rTu%f+iAyZ_g?MZq0{fw z{vF!AO}o$A?tpr4m}2$gC))LCcY=0DX*XHB-_!0%+O_+8w=UPG-I>}wSG!r-{V(m_ zuiazX{hoH;(eA6-eMq~PYS*r>S^KwWcfEGg2BaIO;p{Z+y0rU+JY~vXx%OYG-A3(h z*6t6rd#`qXuibsx?b7Z{?e^(%?RMVshop_HcZThHp0)fX16(_OvJSWX|0=g+cCu4^4;pJ?S0t^F0srJRWc#4oBSE0=T=_*cfiyfIBOar4%gOu1 z%IDMWO6_jZ?k??iYd7OlD}9M}*J^jCcI|q09<$Qz)^0?*IiKnJw7XHeyR{q9ZqDCz zI_+-JZo78-w43)2E8R-%-mBe+c0I?f_)6{W&~CeS`?Tx%+)B4hyZ36>9;eEv6~9`$ zTeQ1VyInfH=L?-qyY1S|7?3V>@tB%R7_8>n#w+s1)Qt0l#(6Fu=UF|@vr-}aY8`*M zc2{b5LI@hsz`vThIvMLV&DMxFw$xu0nsDjzX3v-={x>cQg*@Z=e?g)649j14g=c)z z%H@rz*0gAC*k*a&cZL%C8VjXuUWMsA+eQu>C%5P{XbQ9 ztSRw&<83Jo1R(PZ7FKwcF0H8z)itfI4dpTR(7}er=CRVW+PbFNe(j0pkyzaWQe4%r zs>b7q$9fpX%W9j;SFNsH$mllZ)iktR%AlS-&hyWGjV=1}QY)6%U;eKzRoYs1Wy`9% ze|cN~^`%N%=QK24(NeekpB>t-8_@rq;`CH1L|;{p(fWUWZZ&R-W9L%qpjCoutS(Ge z*Aqiolm`n|YvqZln^^i2LemDR(zAA~=lcrQ8*7_e8tXlI!VeIb?~#x3YsZfDz=Y_) z@v*=n&$Z+_p{*wrH*rD%`Gs{@OYai$B=lsEOjEv7@SSPr7EU_%JJTjlop$cI6Q@lo zgfuN5q@aYp#|whQFDRQc2Y*G`!k~ng`^zQC#ccTIsdNh#FPu%f^A~#q{)#Gs zNaJ1TmBiL}1zFYJQTZ2?SNIpqH!faSCftW{ajAdKoWe-(zE~m`%ET3Ui_=9Ek zo^)Zwf`Ej3wJYDV7X-_xQs-v>T6SKrY`#?sBN8ZM_d9>VeASK%W*f$N{F}XCKEH^8 zy^C~fBwt1O0{?uqSDq7CaG}J{shDI0Cy}0?MP;*%AX{u7HI;g+jIzZ6W8u6h#=-@Q zNI}}g0o69?m+~)I7+f6i8fE7%_De)5|IX(hLuV|k#f2H3vx2@{C3Y;>$Jf>qBl9G4 zdWn%Xrb$t{G(EA4gh}TwZPwzzJRx?j_73Ms?NtTLr3m?#4j`iF}Z=QLVId9f5yTAILFVi~F(3H1y7eN}v# z4UtyU(#{JknB}Es32l;&qzT}CRXGBXUlq@QDh$v=kj79IG{vhK&}>7;Sp8L)VPzyA z11;;0HN*p!6~pq!$h`K)*w%!2MJ5yCZ8BobTfCh9;bo1D4UL}31rt4a%?%BnE0)(^ z?Fq4^S{`CyMpk3TPqN}y)UNTYs$bpG>{-=ZdqqNgp(k%u{Z-5B*b!V_d-a-z#u`h` zW9Oe7kFRgJqPB5W$V2LuS}PSYBHfNDp1j7|6}64E^`Tl%bAw0ive-n`cp5JKUTvs( zVES_@m)*-{%j-NXEbdBKW(yH2~SeE5YO{*@G7A>zAhLGBtRyEY?hS~Y1#oHyj#uF0i zbQ23ac@3+Z$?vIe@YFTbUq&06T2{+utX77wys;r971UqmVG8xwuaK=OFf%NT6CT4j zhkrsFZ1Ss65x<}~jv=Tmu7wJuvq-tf0#*DRe`T4_m2ZNNR=Z|5u-%3KsDWpL?ex^i zHg*hiumYas5>FEoL6g5ro_IgTdxVuE-V|<5UeVCVJYBVXRo!xSl~(dt`bnf` z1g-tNrv_Hpqee-_vTjvvjZPj*FZ^_qJUR~3;yv6EX zQ%hZQld5q*zA63k3Cwx^seI?2n6Ll*52)umq!$Dh1eLX)AqRy8uHqotL>_CtrW8y~ zNH09X*QKA3L zE8*Gycy^VTn~ySj<#XA|QQ7Rck7U)v0?aXF0Fz`uW@ zJUhz;a5_RMCrv;`Vh0X%b$MQh+w#k5Jr@Y`LbdiN1XtCsx}xQZ6T_FU9W;F5a+Z3* zXI+q8&h+Wikw1g|tfMn$&NRdySOtC7e%Q=&VHaf|XQk8awDU{2NR7@WfWjukpTZM{3XcS)o4o_)CQ$LbOhnC zJhPV9Er$#Iu5>+iGB)FD{_OVo>sP6DNlN;z)xa?mCry}Q?_*RA{`wVl4Qq5XgE26E zK}&N&f)nEx${JgXTuJ@)i=V?HRmXuttacgff#ok01h=av!T1SN>;e9oZq7)fqm7qx zZc=Ua_^eqsyY9Mkf6*luKyleV*w-&sy?dr0bzF$9d$A^EqW@g{YH@E!m*jqC{ z(C*#e`un_y@mu;;-&W6~+4=OI07 zzkg%%&x$K^4nBP(?Z1i()!%>X@*XH2^YDfx>pLIN<@|x`RPxteJkhncz_qu%c<;w~ z)!X+xrsEG3KV>N@>2zJi=REns>b6ZsijS0?a!K=%BgJKfr$6|UJD=9|JX1V!>jU>6 zzU$fIe>g9=!{7e0&evW1vsKR?nEvpaRy&@1tN0qjJpT7Hdy31;7FPTN*XmbK@u>Y* z^8dTK-gk@t<8OZce_xl=S3H*1eVo@<+^7G{3X(} zU0L^jod4L6l1*3cb-(+Qp(R%Nu98<@k-v16#xOFpn^j_sS5}F6dgD(|?mDw%$HM97 zF8tY9IzG2#vwP;T?$$9SZ+UKgdica|>+ph-FP>f7^R4rzm(*2FDZFQmw?vKG%d@Tc z)W(v~dl$``nHskICEG3c*j*)aWEdxYqWoPW7I_W+x<-V&dfp$k+Pm&t_^3lYr~uE+Tk|5+3;k$HeA`R4Og~n z!RrGtIJ4o&c5OJaT^oLE*M=9{r3?IZ>v`=ie#d$Ay#M^wTg8{&_59@br@kJ8BULZ( zWW$N=TKSK~;6nMg-cgeCtwqkC-kefm!-ehI@L{_)oY<}n54LN=h3#7P_38TZN}Q83 z&z=5owAhA={_*omKL5erUi#CfXDm2(HI>-$KY9N@AD@@LuH@V+%-di1?|Cy-IPjvt zeqEIXpQC?jrT5%txj7$~pnS4nz(3JPkudq&V3ludOmO8p_D|EDM{QTr84YK*KdR|T z%+++@QQOsY;8EMvbl_3j)%ezKyBd$$ZCB${yX}?;F#jL;OD(bVcm@_-`KER5zEZmb z;}vq95cq#CAaB^Gqyvx%=uYcXvX2kc1dH)R(+5d1DD}8OL`Wt_Ros>mKBIanLoxYp^kt`*WNFzT&3&m zAEwfE^$U|5-iC3sf0#d3g)-UWLRrkuounH^PYQjX#dxGSxu+jlnR#{~{|-Dq*`vk!G#culBQ(jfk|h*7DywKG}F#>apfnoday1 zkZfed!wRM7+Xzd5g~<{o`iY+miRBe=g40MgN(5%~Frq7Hc%a-9E^V^7{T<21%8~e2 z>jb-!jb&t;(Ad-%$}N~EMJyw1qx8!PQ*Dy)|NHmiR4N2Czg|RTAFcM^DyJInpESoilN47lZP0mO**+d zsXWanuShjU)}$FDCl515PIC99cMo5kl$B~^)eJMTh|8Kh)X18Yu{z1^Fx=#GPa-}o z*+`o-q~O#ksYdQ?j^uA7Wjcm*J65MGOD-4M>+#U1SuSJN7H9IbwL_98t{j>?c5;p* z=iZd$)W2moc6`GyUgzIiy6uVnBR5-7lQi_SSeadvne8yLo6}EAo$NZT zfKFHOuf$FNQ^EPShMXq;_57=lFvet{KQT{|o4(WxjrU3FU6@>OrZd@aGTtTQ4dYWp zKf82UiT+c$XEiM8TSjt$wbpo&m`fS6#*Ds`x?SyQtA{O1Egx!?wKB!n0rfbWm7~vY z>$4-2eQJC5vj(A zis8nH$!W%jNhh_tRu5mM%KqChV`Dk%B?qX-rEDqdtyJajAS@%(8ViX}^!LjnJDS1D zA*_56bhDy=+2X&6e|5U-f&PAZblHhvNuylGD8_0OI5!IX9JMf~@8s^Rt`Y6v#OW^M z^yYNq^cr0Hdpi9+ec@?+Io&6Botit;7*TT}V{m~nBB{a{zS@G79W?*c)18JZX=;+Q z59rn~v}+jfEpXgCGif72h`abVY6RmUVHGoy#6Ni@|0L}6WaIR=iu;EF?}_;oZJ7mJ zo|I&qbSbXj@BPD9r!5;+aHb>Ka8zU%8|w^XJO6g5dK}=;FvIa|nhLv>@H-{^%pt~^ z`-U4Q0msh2r5Y0c?JMYu#8GE|Kb@ltDKnN|+J)b)Cn+<@$h?mBVAXlp2xnJHxyHGg zAx3u-d(~#c@QkEvY46`KBG)`rg-s%SoP?)4jP$pX4ClU7L&BExuSCMBXP{roisd6d zvHVm2-}cT1IIiltCM6)0s{?6U`j`&pq#cz5DLFU+;hKZdfh_)^YL8dM9$C*9~KSCKjY}*fW?Rh(G0&z{arv4Y~+=~&1({9`=Ss|w`RB2lJ ze4CHU;O!!>BSl4|708jm^nmzd_lURVe%rq84mkUIjr&l4rrQi_x6RgiDXmy8e(Sik zVs?2tdt#xUh4V;L<3IDT<&QmNdFxJCgZ=#c+J|{gZv3X(@+}kJ_m)*@p393oQp9_f zeVRz_;u}6PsbTCkbEWNG`%#fIYSVf%?UVd7xsuKMqxMb6SvQTvZt4y1kr`)cWsa<| z9?9~~=A=9mSz+y028-PCsyUezzFXuaq;^fFydKW-$3C0ot@})t+FwTM^_rG%>$@y< zuNt5oP#a~q)V(MS*B8aFBiQMOIk@q&Swj4>H2o5fl*Byr-#Josoac}9>-(YQLLZ~< zJ3hg^+iB-;uRM6{veds|*K14c)*3JU-U?Ym|GkF(cujRdy1X<;O7UBSEgPE*iIgCA zx{^tQd@s4?)WPGD6?W=iEy*V@VdR@zQ?p{&%wQ-TtYNPBHyLq<1`>wU6*nsNDdx5|0p%ER9EJw#4(>{8^>lmZfFh)I6oOa%wZ0Uc2owSHO4%0ZP^Xh){ zYdmkp(^}t_y3H{5c=Exl+46N>S;svUQ@#bHlU96xlCPW4_9yh=0z8e{I<6i96 z_mgKt_(frba>TyaMt@_(Zw2$@S#tEj)Ls_F64 zIU#$_L7S4T_3b-k9~pGxG2NDTnRqYrq;;H9zR4$><~$N)JWw3-Ngi{AY~~2zzv4Yc zChhRl3H%7xh3kv2VRx@Bwo`uC7u#rqjd+*jKU&Uj8JD{0SG^|k`$%Y=mIHBNUu=`b zZnqwVzbo=VWWKGY-BtJ9$Vodc=ep@O!?<%5XWUF!NsII$({5PPZ3TQ1ppFNqI|1r= zpt@*wb(%5cUFXSN=d$FEnPt+!SO9FX(tO62^S zVmbe9oFTxR!NZ(Ee#m+m(qHD(Dbvj~PYU|7#rvwKs(i0s_9nAr z$IvplaKIxKtvRx8x=@N@t0lL&z#d=5e=IVAoN?na-In$_ts*(AGjlGF^#4pG>*tJ_ z);npNZhKA?GGl+?vwdhb2j-|CZTLg z29Prvht{n+kL|WN`S}euUcGL*7lqOB1@Q^-31MYvoOXZiUSD#}+L0$ac!m``!xElf zA@jYwG;_T$^Uq?h6wmn?gO$>E2e{u7spZtE+mTl05aoFu$aL@r?fm<@~u3Jv1Zy6a>qqH5~q#KwLHzMt^W0_LnBXVcwL7$?X$c!eoJkS zooC5uH{PXgGhAsfTUJ^33M2CHd^$Yt^1K|$n`8VH8x&6se%m_aC%NFa z8OADG#=3+@JeM&p4e*YUo}V;4ck=A)_rW8f-IjDA=9tg4*=;NH5nXR`!sJMFzacodol4|NWAOM1Zd|10scbpr4#F9@9@$K;f?pN#8oX>VoU^}Qb+6ukC;MVtOg)9n(AJgruZ?dk* z`ehko$Fgc;e5h$qN5?)(oXC8CN}W^pw~^Csx=Y<=7<&%!k|$-)A#}}jZn>25-WE|O z^O-037`N)0a_wW(lQ`dSE1i2;>}I?{IQ#u2oHM`3WxTOCoIU@IcGSe~r3^XQZ46MR!fo^`{U zZmXQ<${eqpw99#i%8#s{U6(FRl}xOO@+!0DX~_z$>-zq8+uuv73g*{#Sl6Lkb!{ii zcWj=VJUeE|hA&$7H))*mG4uxvx7%ig3heI%&X`EU(yGdz(`_5>}jKk5hp0VVZ z>&`_lMl#pcU1D5cp?xxQ68AU zT)AZ+Pa@~CrG6$y4o@wY{e3H$zpaw$x$`AB9b`SNoHne2v^Pj}f;#b{B~xzNrrRpW zW{tW?*QnDuRixEfB%RD*+L-rT-@I1d#T@8z<~HwOZd1cIrH!X`{6r?mDAvEbEAn;Jn*TeIW@q zJNDKv*N+jrr>nQSDU(HaTbBBQdu?Y*w*#o#Vf(Ar(|C++YJIvDDC6vc)SGceV&*;d zL}D6KCPAEw@@u>2OKZV3pIJ-`IkdNc9JCYF9Wn2V|=!MLv5!$iKg zU~yVE`D4eTF={+~DIZ(#qkGdN;kb3fL@%ua`A`&~)*b}q2 zSc!al*&%jk9pcObb`S35m}A+e9p1sl&SpA?=he4vw%yy@tUG!|{=_=a9f`R9L`*nen;lQF3kHjy>8cC$ZUHCy#cL&LrXcY9n@ zL#v%WJ~m?L%YI;*16uY1p|k!nC+yJ|Hbru^xF?x+AynG(}G6J;u6j=Jzb^`|gQ$$|qFo zY>M6r*OoNeAaz>ZJnUx5zlEPVY?r&Gr6&@(nJ_JO1?Fe5^d1_U<($h zXrx|#18nQ$mx-l?J?Kr+XXl|wZgf&6506T$BgzhMfmur_wrPLeA(t-b4H4pPpaX88 z|K(zX9y}Hhilnop?WW%DNCUe|ySr{_Xzad;GZl6?A=%>E_JR3Jk>`P_= zW|5Ds&InbaA*NfD*-oPqoiGllM3tQ|r_|WZ#=H;b%)NxDCtsFem@tb^cfSWck zrkC$}j>OvcHAXpUDYB0};xM7*O|>2B>bki%dcfUkxxbT*mm>eBSFUaAjxl_^rqiim zf02Dnr}M%z@9%4h*c;~$*pCs$SoYPC*sr}@u5atU-fj*SuwQe1#h=QqqjIoOYyP!{ zH?-`^9`|ML>OR05PhLZMpa75hde3`%Bi*-#BHiq=H2Pu&^|B3eytvCh-F-_KBLJEe(emuxvtW z&0+&m2VD%gSnp!k#a0(%F7~@P z=;DxzaThb07;?|`Jn3TG#m8OD_&a=+qy2B^k9{irT1JB|o>-Evr0agl#jz#V>sxWT%2?)66t&4|T%;Y zUGbeI@H5eC!Pof2exJqz{*X`ZkE64|B;Q1oW0eB;!>v!Dhrj{k4Rn)ZuiX202Px0| zEF0(0H=|3r$OVXUy{f?L5arh^-hn8uUQsS0Z|WbcLi*J|m_i2875`w16Hgf2wUuuU z*i8<-a_g_!&b}t>iq+NZQB^fd*Cyno4j`AyZ6!lO<`BO zgZ1CD=q5kiGf7F^#>{?UVAFEW5`a>Pyk zxbny|d~?NElsw~K@iAl?U9q5t&qL^nM-VT(>@fH`5EC2iD5Ar_XM{)c%>Iu5y{kOB{0}iyw**5vy%Im)2 zL)2mXC`OTbbj6cMD|#Hfzn{9O@qo8|n7pAYrapo{bj7!jadeYct(@%)N899JZ~Can zAAXGI3rAV87b!zmyzy@CA3Y3aIM*g$+T>Cz$NFFI~7yW$C?4_$F`lyXK-fq(Zo$`(Bh?)p6RYIKu_ zZ1RnjhkP&M4P@DvL@z^EdeweHGdmy5cR!G`iyLuHEDcD~I?qh``HLd=4o>p8!Ab0&Oh1$@?`q z!O9iB`|Fe;eiZ*4X+>B3Yorg|K}d-k07Vf6(h(Qbj3d8EV|;F zm&hkv*dX}NFT-m`H@UbbPgnW6qpy-T{3yPTM9~$0g!H4Ed|c(}2F_5=u`AXfbI#UCK2(G`D$oI#f~@gd6NQQY}G$`)O* z^B>7Ke9|cRgEuK#beR$P`CGIj=)pPm?IEpd|KS3c^$PUQ{Rj0EyW*#QOuFbMCsnzs zy+0#)?25`i^~2vZd8o=y{rWE`AMA?XL~7Af;1?{uVWOLyQIk)qywXX&jo*bI#n+H$ z(G~Y*!=*qsd7&m}RJo&XBIod<_#-3_uBPHokTP_|lglmHg05Htx8@MK$=ftJoyzxo zZ=NNO<45t1m6kk@uJ|I7LRVY`-zAN%cnhNTesJSzzQs~jRbWLCJRUfZCSOx|oX6Mj z%@(_2Z!zDa(fh$D9L+j(#aEDK^c0xkZ7OE?nu>R?gL{J?#aEG&=xOlw^?WC0tZ4Eq zhp}ZinToL>oHYC^9!KWT75@|Q1gR(G3w%rEUGCaI8Ddww204gsawnBj`NSsf0lVT$ z$RK(OOkF^JR0lU#!qp*fCQnlNlaufvC-I{=gQU?-exk`;G`Ww;iBz8B7PyBd-%)vx zpG4}hD?Wy_qbpWHBD)P;aTjtQy2(*A`HRY9++WQ-;79T74me5Zia$Z-&`s{4$xBqe z;+>aJ=PGFb!GGFGxuGl0A@%6`t-lXxMc427`FzLMzFxoQ-|~A-S?M?a6@255;m71C zDu3~N$X(bKe}D|3EBD|;ty2$`Z}9kKPJK{5!t(u=-5#3UMddV>AFyPcu!`G}SJ0K0 z@L{+I`n;68@DGUQ&Ey=K+(qRyejE`vfr@dY2wm|NWFxxbcaYuaiZe(E-Q*oAUvUx% zV^{opq#s@Jp%C>7-Q*K04{`3jhsGh!^gi;;l#-`XG4w z)jTise(*pY&rAJ)zH8vmqno@y`#Gu@gz6N5MN9$Pc>7>r=kpP$P94yW%Jk z*hJe1o<%mJoBTcH@jcW+`+!|BiA2>uc=1h?3A)L_Q!d`$ew6kTdm6m-W4z<)2h4Ek z6o($6ZopA9Id3LMPPuaTe~R+QkK&t;QuojmpE=3>qAR|L456n$<+df!O^%z%e^Xvu z`C~j6{3u?EoJCjMjr?W7&E^Haz znc~;JMqKz&d=(i-S9~3rL{Eb^O*nPWQYYd_5nLEluY^MAbm7}P-qVfz?S5*Gs47%bJQbySS zAAh_bWEAONoL}XVG3WagcDBdML9XdJFt<~Mm;UX3XJ1EqkS~dPa^{{&e)gj>$eG<; z&3vBRQ+Z9@fvr0$gM3r!Y;NRK>&TwUTO&P{@BIChzTF&&80k3Leru2jI(zn1^0O=N z=+OgL8+*2Pv^8~i^>nqww(YvEhCdrqg58c_v~dqP_${&RsIbEkk}qJrd5v|j`2y})^&5FyE53@wzo+S?cP(_(#UTqRR*`s$FqCeuTN$7wncf`y>0&H z2)=t;rrdBWeHg#Wou+TXUVkcls`XU#RNtwAQ|VJPr_xW%JTd#kxhG`QJL(?|j0Q(H zk5-ND9IYKaI2szQ9}SPTjz&iZMh8cSM&qN&(Xr9-(TUN?(bVYF=Y+TqY}{cw0VI@~whKRh@*G#nouAD$Ra4NncHhi8Uohh@Y&;vWf&Y#yl^**Q`> x5*}$CiH`J*^p6aT42}$q#7B}N6C;x&sgbFX^vKM}?8vzhIpt-gr@=^!eM2>A3Q-zwu2`PcdvOKm`WJ!!h zj+64?R1U=%ludWxoY2x9YT9Jm!*1!vX`Rs1BjX(GkU*V4yH4pYF71H*Nswb9ArKPkKfguj3b#pRR%@Qa zQ2pCCejfYIgJY}H_fvnXTm5~cpPYBP_z0)JEdB|nFBj|hOT~wgu05~kKM%Plkp9kt zr&oUy^!a(?#oy+1?P{H#;pxo*e<#(EZc$SMV{H%SvW0`o+tb(-D`NRsSFC0QK#Fv< z$qq_sxWq(H;eW-M72(FJ)Mn~+Iz*JcQTb>qKG zj>>-U+$SwyNDjWryxd$)3Wgy_J|bUnxiU&zzTAv$yqx-kBM*oPbKrW$hEExn*za*z z#QtVSfv3OTQRqQZ*s|?*F@DY|s+Yus;@EzahEvME`AU>l$F*arRI0&sLhM%@f=3+@ z)t5xolCpn>vg5~{-km$9m7@;#*4k}QCMIhCBC2oItAC7NG}*qg5WOn)-|1)}EuEq& z7mEG&I^3eV#}dC}j^&E#9m3>1F>%e87Lv)G@R1AJU@eSZT>aeK(N>qQ5vcHH? ztd8$X+V(vGV{K~`hZB;6khHD2*CA+&si?ZCAZ0%_Em;al2>prFo&OsI?8)goi=MXu zgJ1hK@)DmjrR8uNJ{%x2)|=1sQCt_i*0#5V^tTF z0`=b^xr1~aK(=~8Of)-s#DvEYN!cr)6b0%X5q10>+ZRUOv0Zm@UozIiv7UC@+UIut zjF(?ZO1|IK{w60}l)KMeH#`H=n=q$e9w_BR2h>|e)o z-zzZ>GDbj5z8m^Okk@CVoTIXsc0 zkQ=`b+*SgItHZVu>I0ScF7>lY-5WnH*6zG(7$YWOokYX6`?(?uRH(y~r-51t?F0&b z9r1U9cO}y$)1$V%-L||Boq(#VtZPacixr4NLj~;@hEl1RX;>UOQSj#XFvc+cwqW!L zdhQ5I?S+1J5P;3$+TYg?&jSs;!*Q+qE4;`-K^gf6@y|5Qe)q z^R#vX;J&1?0Op3kYPF>HVdB0*k2~-{We*T4gNJ6bwuVw}%Dym<>&iv*gdM|2kz(4{ zk%4By>Jshq;CbUqhIx9W1p>JM)ln2Fd9xInNER~*b69Z{@Oi5@b}ioWeMwv2^%%_O7?j~TLyNVZ&;wTNoIR)LDNKT)r!7d1N)qFSiU1JxHH)uJ7I zAG2#*`z{;=M{jlaosXHdKca-|%nwZ30CZuLErA5}4J4|1F;p33UV;oQCU?>jq&P%4 z*XcF-BOf*$)Vqd(RZnVrA$<_^0iwKLMxdH^h>SUz9&@64)^#Ffe}!9mGG*TnCT0H( zPmUg&pTlTW3p>QrsxiX&IvhV&dGuc_dfrnlR$n{{D!!1sa`W#;^DN#aio;w{_ zvTUMVXiQO#N9q?W0oWzsBGjVg;=$tltH1M4}&3bD7# zsSiqqpEgZiFy^dNGzxIXJ?VLd?Us4i268eHwRu=!FR433Yc z{$zW=ycGiIz?~qJB#LAQ$aCg(c$&BYw0OW)rtO4LeC;Uos6&IB?qIBay?MTdMX^Wp zTdTofdS7}2B>VZj>nSFVc?a`RsC|8HVXWEnnP+W3y={>gf3{G}K5hGHZLXMD(CbMo zcwX#Zx{VXjP9lQ9tXRR{FMj4=7MH% zHx~};Yw`ZG+9Zs1ok5r9_q`IECw|4gvy_@li=ZykTeAfS+kaNc={pl!pwS|R1!XNr zy20o#T~>_OltCEp_p`BiS~;fnq>X}-gtZW`wiE!>CEDr{s64CJVyv&vP*`wbd};E+ zc#5y6!+b3*+$yT)Fp%*6GM`!v%bqD8c(wE~nqF1IF-43^1sJ6iP5cVVMYW+o>~EM# z*~gGllj1t!Pw9MOQ=y(dPU(h16q^!fy>S@#Psb|3;?z;`R z{vNsTXPToHhxR(^1(T%@Vpnp#xdhs6k0gg7zn;q{%xj3oS1kcSd3x7u6%$W6+*obJ zz2}nXOZBX=YQ2sGx-~~V`NEo`SQMFd95rBUpxL#9WAr|-;z7xj{T>L5>NhlqiHS$Y z30F^IWk}gaCjL*I7=aeu5Ldl#l-K2f=lb_iHDm|} zYX=Wet$f|w_Ym3HO-s0{mp~xgGE(oLt)LsUnOvN*{~F5FaV$Sra-pyu?}`LE5R90z z|JkU?ow5&rMSx(9zi(132{Bt6q7_kn+%ZN*?LAHoyKDH(4g6KX-}7X#LJDXRJgU!H zOKh#^7pukWQDdG8m*=THezXrJUD3TDew5ZzW_vU}$x0~p#u&ibNMm3pv>NdNg$9DC zB0#*fx5^*wnuslnf2lAhwpiUFB)&ZHUhwt!#jI}o-uIaMF_U7Y0q5kghu|I7JXj*c z{z6gpTC|&VUV9OAhVH~Q4_pDUL`@IKSIZ_ zD{;*hy{uPdCV zb)q&=XKKhFvklbl{o~D2DAu3jXvjZ}@tmVx!oaa$6SN?MLYO+6>#V-_4KaHRKPW>|qocF&`|_ zU)lBj)&yAFu{Rdk;$J02{nj1;6w0#xYwpqWmPU6&Vp%i_^`p+DICi^gu7h-Z)G}f&2Sd}f-|Pfedwy6@D&wQVh!pWA!V?>#N3N z7!1(ln5dq>P`6%Ofw|Iu&D$WiKha4jYvIpld0kKO zXNV&O{7HM!)T%}NxtKqDAcJX?ab4bTq$V=pX*MIDx5K?vpKWi6DuSfbh)tJa9YnBr zT)1l(dtz*bk>fhCw-U}x+8!BFhk(P+AN$o;u2=D#L0@#~>0<`{wn6tBR59pIgVr0g z#GtPkdVXk7X5fnqdMJ$>E&JhGof$Rg*9`i)L8pvzhBymhW084npOtQ+@Gj$e&q!Mg zxy1$*40^3We{aaO8T2;>Jz(U2&!Ep4^ksvV8FEh;)NRlg4SK&ppEYROwEKFsXs=r@FVyN3(`3e#*BI*d1p{q@Kit*j3$+PBtmuMI?ud0s zAtic49)jh}D;D*2NH@?4v=s4$B&93bBUA@M5pR1SDBUPjBb{btDH4_yBekP75c0{p zz2TS=iRs{7q&lyxtW0QVs=c+LxpdQ(?ZP%mjt0UZp}fpl=7d0=AcTb`Iqa9B(Lkuf z5XI>?v670KK>; zv#MP_MUsVkV!)N%Y=(aVX?ZEb^>f#e?tUxPbGbb;lnXvZ=nThXIM%2qqeC%Llt7oH z_rTnBO#5pyA2HO3nfhfZ8Vf4iWqLa@_46{qE;&HW<^4QYEi>95^>t^qTrl+W@ibRq z>d)B&74sz$loY8=h{pUhI@@Ex;O;V`TiB~V`&!Soit-I^yz4%e%b3@*bt6#VRa%O4 zIy;|-P#*w4Mxf+F>@e&rFleDc1%s9tlq^esQ?i2ZLj=)`h^={uO1+au!CQdnSg{4@9Fgutr|CX%`oKv>CwN}(Ra!plRbL> z@MzA0a}^p#2F4>c0T_LEG_VR}Gm1f8!w%HIXsDo*_-=}&zZ>=b3W-Vf}fy^>YT)Uj-k`~po^#}%fzVtCY;AuakOsT zoZDowo0+}h7_*xOSuW+}<*>YpT$Wd!8!>SkVP}Pz*%szUNGDxH$EV*aj0Mr>gDbG9 z$-oW(dji-K7$fOx3Rthe*r5!$3G{9cT7`7#gY=XAk?xcKZ~LQch6vjq3`Y^L+li+b44VNxgkQ#yaIjkv*_Fgo zgvu5Y7mi3Fycns3B1PC$#OXT=HoXHWYYPThKWn&Euizv&Ud)gv=lK@q_11Z#5y>BD z5BR;E*z5!)nX#q7{V`d_cE>CA_@#(~{Rdk%7wYwgaqNZPcihOjq^_u>Ft)93^VVCN z8#gtqt8nsa(7j%-&yS5yAl&M0kA?g=`SE(AN?Ra|@?Blwkhi-%A_qcBJ99H{RO+NH z5`tIMF0qY-C|+MA;#GD>BsQPQN=hs$$z49B6Y(v*8_1CMKu1iLyx3LA;ay(r*t&55 z%eJG@^5bfvarz74D=r^S161iU20fV~OXD{vu8s?RyjsSX9_9~sUW%J?}C%z!L!Hc~M zYVaZ%Z1wr?rgyN>W?hs^N~D*(6_R#&xe+G4R_q_oTs{*skW|99yNcL`_OU)GOkOejn@#VUFf${9V$Sv@~? z$Vhxb{>ME~fVdT(FB!%8nQ>`mJWFwH*Fx+M5$h7|!(9)a=;OGX!4v&C?g;oX(6@2- zf~URVVZ^O{;Bh9%aBj#R22b>~!M_YjAJ-lMPP7#_$+UqU!cAp~esM8lFM|(){s->g zfS&+ef>@U1mw|3G`0b#-!%by>4|*?RTn#+YCvX!^^n}5m0?l2b;}+26xJjn~dJ1;| zZH_;Mw=ZtO-JlO)AG{3sLD1jgCj4E{&ttED9q=a5hYgP4U*|n@TH-g{XqX$`{02t)_Ul6fNFxqcyME7mZ3? zt-;*_6ojHR#W6W_L)70Xb@`&DT>-xwj)vQnQoK5E@I|}Iy4Mv8Sb78PQdBX{WcAvh zN)W0QITlqKL+xQhThZUq<|^XlP%iy0J!gNYUxc%LXe&{#l9#`u)}vta~3fy#lVf$aka2M!H%9_~H-(BXn3B}be` TDv!92h)3qs@d@~U)&u_qzGcht diff --git a/epyt/libraries/win/epanet2.dll b/epyt/libraries/win/epanet2.dll index 45de0b1c199841e99bafca0bd38c1889bb04d8de..e6fe4d85e479d39b496bdf9e8a6a1f5ac128214b 100644 GIT binary patch literal 464896 zcmd444R}<=^*_Fw7g!*0Hwqe%m({Ks4b|1CB(Bw6vLSb6BSBH2Qb>(bC~8yLg{Uzv z-NfX2S-@iZ(^gyhuGLyC)&{k@Nt7hK2DAvZReWpj8d0Dv2CVG=^O?DKcN5V6_y2!> zzvuboc_uq|X70?HGiS~@bLPz4%CE1pW!r4F9E4=jX6wK&|9s;Am;ZCxZMJdKo*!p> zcGUJWJM5wDXUYRo8@v)3abW2b{QkkhmMn~N@e68YLD@&(E`YpOPAKPF zd~Lu#&u_E+m#nx&KeXEI0mjo zeR(I8^IdS~t+#y#1&MRw-ZmP)<4!1-IYKD#fA60f%T0Vd!q&ab{8P1gZf8gfxC=sB z$nCoBh8xxBM;=xGs~QWtt5yA|u_c*IhV-qf7Iqh^J>7UpsyzX>i+v2~-KzeEsyozZ zpWU#vWZPQfirTG4U-2wnbQ2rNsQP+QcS%q`sK#z{*Rc&$znt}Hx48>L`VLlSRh?1q zV^P+-i7hK?Cn_&lyyzRE_HEl#ZK2yim|dvs`Gc52n>g~uvsY)^RDG}78jp;Nl_gbu zq1%HuU5mTbSo_}!P~!VlSvEDM@1KbHeKP+3B*gD#T$@%L&v?he*0ycF>ttK|)YiVp zsF**=N^k0pZrVQq&4zQ0A9HfXbkW3&xd6g!qDaO?6Vn*iw;C6=X4}w?s3A2T8T~OD z(3j}T3-eJm`l1KiRjSrzpp#)G`q?dwg{r>O_$wOJ_wsQf9|siiICx9rXg-F}Rld5@ z$YQy+_W@>WJe=#@tAzG)^ip_{00?|?Je(Zx0)bh*-d$CEK-C^+AN~3v?Q!R+=%l_+ zd;EPyw8yIfVNdh3U;{*cPxE7D%pW~ET4{R(Y0+es(zYIvO1(Fvcd4-nPrR6GGY%93 z+4@$!-&j$SWs4rWrSUZ5=!15f-XE1c*lOHgnuW*K-QgU)YhVG#O$cMtJp4hFMX z1w<3JzL1NbklSPUrgn)-gw9_8MmiaMqWco=)6hjFpM)8HqcM!6^Wogv&Xas&EMXegQmR2uyQl z8W`gt)*sU|A=zU@Wnv~IZy0xc2_zDpkiH9~+Zg@O9=?J9ilfKuVW;w3?vtBxZT@z< zpuKK?bkJV^?||1|*!Xd zoAO+izda{kja_SRiAN3<$GiQTIcqF|!SR+u4N7m_t+bp2qCv-$mY4B1dw45)sI=aM z91E5(Lx0- z$&pR+VULv6|G{g-i?VhAFDeONZ1& z@-LBmOUx!ydO+R^dMmZ4Y}TJnMrC=D$}%aX#l8W(F)5{=KyDpEDFJ&eWNG-UP*JZk z&1YMpOlv`T(u>32o@ZBMK6^{w|2w^eYXo)t0&fcH_>qYCf$MdMnP@o)uCq5FI|Di8 zLE?H25Zy9{SwoN`sJ)DRxbh1ST~M1**HKl}1uO?9)()xYBv|(Mpfz&IK9ki&MhN!S z9X&Q;)lF&*CEG*)NGA2w--|=DP_wrr-|_2qzs5P_*Zn!ESY9gTPQ?mSvB{~JOU5Ll zSQkd6_ad|*Jb>_HgkK^29)UzK45~!v8oNlh2t>@^8%!O>`1n$GeXDVwVD&o3p!f(h zn{b}-n{r4WZ6lM^(v6g>;R{u*-t7_km8!oWMD5qgP|76sA^d=|< zvc4N-CKI%cl)aF|8-*UBZKV33Z4|l$>6!v!k;!m;*WC!&J0GkAvbW+_DcLKf@jfGj zb$~tyt+VxqC=;u)vpb)r5}Wy=_N2Q`{66b$!f!}>)(wpSzc0G0@LOJ-T#};afUegA z{*G5S{`>*|rwPB_S02mB_jeAC@$2zUV_G0P?q3#njL=Kv5q=$m^&oK)pJkZvkOc`~xb_{r`qO9g8vxN&7bnSz`bpM(vQC z-5EJIAV<|VQqxddkEFGW^?Z-q(r3JP8Y@C9xhI;urE$3$o5vB@YHSh6pgMJ9fa4b^ zeSv5X2T~>G=Rx5LyFJ8XI8X2ATd&W{vJIS$vP&^G;c=};B6&SgjuQ}OYdxZ@eeHNM zIgtDEx5Q+S2vv27U{#k059t!YtnZiE7^f(;Pw${o*+V@?3?cNKeaAtB&988b7n@qW zMXk`kOtpedg9MI7#&j%YOzIF2Mjrj){pe0lGyn6CdTWXCKGv?%_LbgE>s!Ocxf~BawIKhqb5Ai9F4wQpz|OW z9$y!7j5DsJr;T+Hcg6+#Fl8`M9^)azLV6rjaM~X@cxwd}eETrQI`+TB$O2k@Bc~{; zkRY3isni%RO!XwCuV%{UeI4IgvSdkdUqJ8r^g~T&KlEdo&Ozu*X6Zeo*uherkYSPJ z|CVS*_9T|`GV$oij%zw8AW#%9Z;dw;a41Ke5B#xzYEP7T>=o1JerCtgB61cNgjVZNLFA(9jMmtjt;RR69nw>Cxt1mc5fke#PY-CCjqZzX zBJ>;u5+Y#t+|;c%a|UZ!2Bpv`1tbWe1=IjE_UpJTL?LewPY z(rEd5`&=LlBoA;Tgc*HGkC)Y_V`iVIIy+^zET)LXD+k5+jYCpcc(RRYt7yaYB~|ea(!z`5rU8=d9HE=w!;^wy5>UH$=P#_Wh+6@Kx$8vY5ePn zPBvr4lVk086t5uzLyw7)ImzXGQ=^-jKuM?uD~6*=%l8nEZX&?8@LiZ6qkoV2!O0GN z(0J6#_QcZO$-a0xE&>Tkx>fa;SrO>ic}^DB=LO1hWAFc6uB~0?8$d0KlIW#iO(SuLd_4Cj!{p;p<0CY#@1=bF zBVv?~kbX^s2v}K+8lx`@#;Na(oUiJCIzhrrSPv+KTrrxRW-Pg<^-ZPq8=_k#r$14o zn(K*xzV?5gJY73Xo__ik=`I}rYUB38s7!B^}T^o zP=d1deIY(yScV}DL2ObVIZhq;rD& zx~aQVh_}e8r9!}Ao?CMDCU6n8O)0a&G7Tmr_7yQT?E?wI|!AMQia8Jud8I zTa9_y=*K~;$Z_K_Q6wyYh)gft2%52lX8`~j@Bly^0XS6x&~5^d`;q|QIFu!@+q7r| zID{%?sZezZvliu>1Fxr;3nG#qTC(71R3M7-jg(^YI5I-x7m${j^!61jY`?&sS3vx` zV8nuzwD?F!KdfEMF?dFd!T8uLF$O*YsImqBB2$Et3`+Fl-sW}ae4|4jEZWqL7_Ebz z(r3sv!t+{_4ORNbrO$lC@jQ3QI`1d<`tzil^LZ?4^rI3WAEkVc-$);WfwE(>$>G(_>$Wej4%`a5Y z;sYTlPvDXJN`=)kk{2sqCWJWo)O1_q2BEF6cTdAItwY1t4NYf>fyv^1p>F*$ z{eF*p-(Pe*`U3F{<*xNWL}^VbYwv&weIWPGx0-Wm4)w<nf@2Pa~l@l z8Hw9`f=W~R$Ds`UV-c_nJ(%R@D?U*AI3ZG6o?>4>s2IRad&eW*nhck!r5A>$E7Jma z)TgO>wyITtUS>OtKi^In4_PmMk*JL%>)1yQ{xgxb#y};;4`loxE7YD6N#B!6{W6I; z#&=}WpiE+pvCvEcYAwJ?H-61PyNx!Q0fDal(%7BMwb;xt{qe9DO zFxpz(6m}cqQM1s43N6c@H6PNZ@Qxp()D0J=Q*;wY8Sw0jjPCe0Vu}4oRk6zEMkI!Z z$^{qS!fuXXN*l?a`jwQiE@QI8j3wU)=o=pcX%=I9=t(zMhuRChcvfR`lI2(gU#04u zOV+8$xUb~J><_SG82J~6vQRA*rit*h(idJt@vvYNAAnXl?g!R_+y)b)1Ypm)tNEMk zL=9uC8v2x$_t=Zr`VR4HtDv^n`ga5zGV5+LYrW|E6Ay{32~NldNDJ}u zM;;-kL=GUFplYJj%NL^cfF?RQa3`SaiL$>)v>Dgm2FCWn(<%5{Z|8HmKNHOUOhJDj zv{VsUa69G|yR-uN7k-_Sn*ba|<{!;u9Ydrz< zJ_*f6u$oPHqCB(4b+y~Ya#+bLpP+uZV__)*QXheSPY_X=*bx|A+^2IN4=VwP(u-aJ zswirx+{Z8E1Rdl^Lb*p`2eD+9l^rFo^%x`B*VqJ`pd6h8VzlsGEo$O9>}7q<%cbIf zmZ^_oTao(zSJ{d{oAEK$0$c-pU?u$SVrK3%e#PI|gdcW`krXYQC7?s|#eD)efcdO0NZD!!{Zq8gq){*wZ_P9;o_iHz6Z!uJ}mO zCLS%?N3&W1ll8gMEtqW*2v|fd%OEz``HarLlk% z<+&-lehP}wj|FQE>WSjr?a7}eeFj|etsWvq5{4QpJ3yjXcMI+&}p z{gfSuO_<#e{5=G7a^6LFra3u;rG9L}#tm!)`@LDYw!~qSmC4)82_ow*G?VL?+=%1=BzJ5=DU;DPkMaArlgU`?Wf<}3 z;P{neVy#XQov`YB6_yu|n(STIRL7C^ab%sjYzHQnv8Ur#$wxF_b*ixk1!nZ^hNn0S z1D|VW{qRt50i+Py!G5XnOEjhSbfSJxS7*}|3aG0%{`_Zv3RVdv06v4U=Lli!SA9sn z_lUcW&)`q^!G3CY_k}jwUl9%=I6OAnG=$3#QiCt(W2Dmdd)8Xh6^f1h^NwWFuRqv4 zh`|VE?@GSAM7g8+zc33G$N#1LBYxPAZgitd%^O5o`dNk1tvG&IS8!H=dcp8IJBHO6ANE`*>k=>o%|G zb^;lqzMNqw6N!$KCFTuF6b)4mZ%7431;TQF-)}V}O0JU`>0x+ic*2I^2^j;`fxHZ; z4bg0R(g~;sPnPHdThBzZC`n$QdKucWB*G=@-nX$O@Cd^1 z5MDxf4dH!+{~(OJ#Af>nLJ2}8!XkuK2<-?DBm5TO6@+~VA0uRgYB}eGJl%k4kRd(C zNj<#z6{f@LdTdJeT zy2C1R3Q|yb!UH?O#oKa3e*Stn=Mu*tZ!ve)n**ujujhnIyoY1~V)S)Uz!~K
    7<5=1KSwn(zq)Zs2`8@A7wmze9wL ztF@XvVYYgv<5->QoizCcAO2ZdTK68!r-AvCHuFtcO#YrRR{j~RvARye*7CPGSw0<` zzJ3{1M;VDQ0N9Dtbo22KCH8Br9Qp6wh)JGY5L#C7|RFXHXwnEOe){>1yo)*s(9;Zk`&e(8h@d1_4_ zR`dGphd&~OwSAD)OPYe)CC$kh;|^MBC*4mEwWjY`v3WHrbkCS+^4ve~SjPJO|JWdP zb*$gLXWa9orL=LkNuI};CAGTO$KnOQk@TO$^Pc0$BK~R%pT}lwTo;|k>Ly?ueP4fU zdUXBC{4p^}doq8*%RJW|_~gYg9m$sock#l2b*j)`s$|po*uJu3-GTipH&Z~~=094Q z#qZj>0~>zdyM}ixPp;wh@w$H!wbHRorLAjSe>^?U%c!_umkOWZ=#*!?Zrl2kcWxwn zT&Jore?pH{^C#<%)oq~8?duN2UL5yVRblMK2^%FgK7IT8J<|{H+@aogPCvAMPu+X# z_sn>oK_1hlN|>>huujtDT_82>nLh3kc^;hZP~Qiqj~T35QnzmX$vTFnZf&2I%BWtW z8aSiiN_lRdw`1b^*q(x){(+C<#jWeNpO~;(B2KUvh199mNAMDQk~f?*tjC*ZhIuGY z(x*qj+P-P}nWT1FsmDp`zxPiK{mQW$W$?g-ytK%Rtj`a4QJ{`Gj?o13yW~O$40=|d znyj;yE1u)W9U0=rBh+&$c!?aarC#BVBXt15{x$M*2zfd8Tw?smohaCKH47{3_&T{1 zg7q{eP5?b_B?l$=yOHNpamPQOKOj-CyGos{eePiverHjELNj+k=;*02I*g+T$m&pK z5vDfs?39owh)|WWi*x+GL_ydvdm86~HXOx6|fo}XWQ7~53CS2S)dXyq^&y>CiVsIw>RM_gZ@Y2Ce4V;F3 zf)M(m!60(bVayip`hs81vN+2^Dr=xkkV?Urx5;Jc=cE87x{Tu(p5om_ZknRlqezF+ zCPGTFkSf<?PwWNmd5zaQqz=pECj_zu zxezRz;$@KY6}$-pWEcy@7|_VdQ(BWaSQGCY-xo?aA_|MK*gkC}A{mK-la(@}TGJAe z(5#Bk!jYMCFVZ8vbG_x?IyW%ZTRuA@Fv_!Z@Kw&agRasuwC^q?rEqh-<;B7MYL&!< zcT0P(QkgGKXLhN~XM2|B7Nv7v(g zmMKjXbO^IJx}AIb^-!j^i_5OU?OK!430;}CNy?Rx0h@mbev%;Swa&MT7?~I<9Xo`U zTZT$4ir$lyn55|8Rc)hrBX`^{q36veX`e>QHc!#>wwe!-Pg;06iPY{9%9PqCHO9Jh zS87RBJ*!g^4pLp&{6!+$5xSi+xca4pw%hWP{YVko1h6CtZD*NbD8OGrX8R%Ou!rTW zj?6zIh8r01EtUke5Z7e5{~+XJ;bon@Mr^5iDy|MXg@EyEt|MY%wW1>aHDelfs_-a^ zu%Mz=DzsiM4n|GBD%IL)cR(drErl38o{B51V(v&4gTWHBmJh^n&gy5nwUR*4exs&T z=xBc&3T-BGkDj8P-E}7t0G4sOf1Spon|V47&28qOrIn(Iami434~vHO3kJfXq0wpt zo|}}UN{Vo{j97u!X0}B*Lxcla47!`Vqzjms(?`Yv)V-JPk)#PA)qGD2G=ZVpnCdgq z1TI3@BTW;~!!<7f9aac8&8~;DJqRC1roE&t{C96Wg+THDLMr%i?HNb~kEy^SMd*Vq zrmUGgf=J>)iw3FA8b@O}gq3Z=3xgVzyoMxiPokTHiTJ^CQyGNo+J?zaTkxo)2~{=A zeIc0L?s!;U+yZon5PFe$|x9WPvielR|h4rGW92G`$Ehtty)MSZ~wH?SgJA?TBM(Whc<2$&5n3B$p?WptUBcMG#+#}u$@A2cVLXCG2XHm zR3q0DI_VA$C4OW)mpn)^snnxbnV#-#-onrebpW$dH)b+A8F`X#H8*R7BTWENzq$%Vea>G8uW6ATO3$ z%J9ZbwwYEZ;)A7G@jQw2Gc-DFvFB~x`-a;ApML>0?K35J!XeOPnWFNidw`UUh^ zoARpYFUmHg0+N;-G1QR+wrZfF8!-q2;+bj{DP^Yol3<6kG59|ad-O?`lTah{i4aaqG z$CMlj`WZ)cWGR4D0$Dy02i>Jc4Qv%SW+Lf~dC3GftKe)f!P`R%=VXHah^^*1U_cH0 zE#vPO{Jq2<5x#A~T+G=8f6?xHi3S54e3T_D6u}i$sUR^k*CSu6^V!41kUfvM$U<0^?8m^n?lAE)2AS-<;;umD|7R`+3 z@i{T|DW_xpDbAV@ z?p#F!CJzW|mI+eISx7l?%o;fYykN8oxD%K}&R>Rl20nUm*@hKBVJa$X>00XwjBa=M zNhX8e?x;+@u|)E3$5tJMjVH+Z?AKj6U&Ogq47}R25{VMU>~fjoJK%%V$95VM0qqisw8^;OUaB z6raGGD1zBoW-3X!rFF_XpiGjVpG+MTL) z0+U_4u?Pb?HIkzsmp6XK( zgE+dA5zc-Q*_bg(Mr8Gi$gyuohG!B^=~7lSmYWRBAkh3BppWbD3mL*ctjQ1gbMw1e zv(g{Vu2!df`0_(~ZdO-oe)=P`tJRhM$S~~IA?d+Vu#2U05l=VIAv|Y-=mD1~!f6-o zI4>^5Z{#~OKEnF`-1^SIb)<^_Od1pYz)@Dw_(5kP!**GPgu@Fj59zLq&_cH@U==yj zwV#+$L$wiSiYmK46U`LLpE*+^^9?Pm*T!MX*5n%=SE%!#=rMYja35u;jC#ME)AEfe zGn2`t%#;#zV}u^Atu>zoqlZTwp`b0o2TK&ZT_QWQCcn$$%*VD(W8q>r5PUe*hlncj zk!5|HR3Dkv2g1Ggv@Msot0))8T ztZx_JQgh;Y_+c_K0}W3t-YXeOPc3dNEtG>()tx>`Q^$b71Ej$MXUmTxbUY(?j+yTi zE|NeXwVh3y`aUo9o!ZLkSv|`$8S)hBP}Rl`6oB2s@I+CEBy!70zr96F{G4ml=2lnk zn44|rPW#5{%I$LpixO9;rPx=wY3>1q_4gL3?mfCBhq;}5c^Tp?| z61g)UW0-}Hq8aWY6rj4dp-?PF(xkJcG~D7Pt*H4Lw780lAdam(lQA6HSYGR6ISyHw zlPMAU$lw5Vka27Xh)BvjMjQvBgD8qiMptV_AbZtF8eo1`#y}C!6Ssw|%|Qh-Y6U{AHN!P8~S!calrERW%K*37ES>fTk24%V!W>cZ{*S!>~D zv&yFCGfd(Ss>_>U*SNd9$`jf{wY{UdjB0RlvDb$XY_u zqj{iN*eI=zOwBS8*-RL|tfKm^U8?K8b6PyzyS(-mZ}U`eK@s5tOSANNtC3f;MifMh z0{gBZi>f7a*N0vo`Vb1$u%c>E0B4O@puM$dWOd258g0tXd#a7mttHYS>6KzO45y#4%FX%eWkIny z7Xup7H~H76eU5T~JNR%14Qa3X6N=mq$t%{o{?+|COnpdb(-XZzHDqcs*>qrR0 zp{UEB*bscfk2Ta}C4rx%^5aW9ifHGC;KxJ{jECei{b%H&M$n;a8{kG-wPP`C1A-iw z$+!kf2%3<5LkEs@`rMjNa4L+ReWd*z8zrr4Lsdt9 zqZp_nIi$VXS_7k*68#isbVT<%!74#2Dfy^2r-KV@x_FOOKGAcw!=ieywLTewomBpJ z1Se>(Z`5vs6ZT-M-@dVVN44hL;HMpuE<2T&=(o1PNZn~fyLS~v6CH)y$kv-4OBeX9 zz!qN(WCBkEf`}iAecP@UE%*VgrEM(~b=54JdtP4ktPM5xj^t-xonM>*A7J*i<@n!= zGGdZibwjlo&CGELjb&GLgx~pv$2{7DAatY((y1V2$9cXL1z{hvLY94eNWG^bKQOM| zSK$ndR#d2JdrN$|_V_KP4~d6) z`!gP=F>e=0j>itrqZISDO_deTTP=AadGmiGg{8R0VTz{0FS2qwDTgb}m>zQR%xh84 zFS2qwRCrz9GAq6lKBcgG6)X2yE3O|aS6Agu@6W;wb*V~(g)1!E{Bc9AR4F#@X)N46 z{Kxdw6P1V%LkiXS^&(!!5DkEi0i%J|63goJ8ak{>%%CF{qJCDY$k+6}*tt&2Wl z$r7A6ri#mLg?;*l;=?XcIpJ{j;X`L%RUGGiiaY~9b(fX;6-oU>|J1@yeUWIzPhBQ2vc8t{0+apQ zNB}xQlIyGFVo7_YQEASt9Mqc)$K|aVHW2B_b}TYFk?F|>PN^vMBlzV=(Hm?0@FgO+ zQa2TC;{_X-B2q7}S}~-G_(Y$vlh`Lzkp4R1@~=Udh>}S58YTt~PsG`uSGx$-p(<(@ zQC_Whf7L0774uw1`#3QwH9`E=R5cLCAp@^KQpLn@c6B6cXiBbVU&4!#iThL&FaFo#)Hx)&`V4BJG$Bqh$9Ytn9Ko1Inhzijt zRY567ih{9#6~%%^qp_ko_qh# zbN?IWyz}n0dz(Fb?U~7i=2!Ie0oa0Lc!i?*s_f*??9EzGf$$8z!wGozjS+@?6xJG1zGw%Q|Pz22?oWKJT?yYm&%tzh=64AyEa;UT| zy$@OFl+9h>=Bk|X9=}3ZNw9!n%j3Yhn|*)gI8XB^=(6_>!C%Kh_r(U55E>+WQ6II9 z5!;B74SgDfqv6u+e-VnU46tX*S_%Oy{hO=k|}yufT!fZS?PE z?gw_~Ae=iGMx6^RQ2z^H@fHrly~ttX+f8se8l&+)jqdK^PcHuCLx>pK40H(m7W{x4 z@ERfq1#uKIr(6W|H^>HN(eD~028tX6qv5c|YJgiYK_~~p>&x7lS7l{`fKdyFJxqED zIKxHlw&(?yjM=E4JY%k;DW(shwwo=aKnlkY>rdY2?s~!))+S)4JU9v%?EL8 z=)=$-3lM9v5D;dFe)z^mczZCEpL*`)_-=B~)WXdd-%bhJBEczc>O(aA8iu{%Mkc%j za?u+sWut*F>~J4N=GJh%cma-|Lnmq8myMHtSK*Rj?rZp=2)ekdd6(kJk>(@c!2Ln# zWD}?yrR^vXKoviLMuZLb3}7B0ZZyQrf{@8808lD^yc>-(?|f~lX}qzzbsn}65Kwc# zj>+4Sxj*c@q$@0><}#$9cpY4_q3)j7K~I<=C=43E5J0>MX>^{)4D|AZHG`N}yHY8X<0O?C#T;`kokocM`)U#XZ|fZF;qumIur z^v+{kWV)0%SYEJ)Elvm0;RVPrDpxMvyHgRDgANH6{&nm9u8RkK0FP|Vzu4z@2nxbH zAx8yof16tXJBQ(R?STX@w40M3|6Qs1P+UXz)8&B8SJ)%bIAwvDVWtOd6*KAq4HXe? zOx<&y!F&a_$U$jx(K?3eqaa6<1nS> z>}f#_n1KaW%($<{=R3gMgKZTJOkjr$T;ETa&pHN<*p^EuELaVp(uNre?koXQIb%6K z#R=xFbsF4;P`zQUAeWt1a)%eKbpAW97%`}{_>AZHLJ~c*NO@`K&ZZKTDpgL$*AHX$kKf zV5!Xws(5>X&#iLe!#!HV>#Xn%jM+8R@aYhqOPs|(>9Sc2OeKEflbFT&bC@|0g8$xZXt`qgO*`FR=$B~?6F&hs!}m{n5{L5+?+`_vh1zz4jz3MMVi z$?s{_f^QCj$x+>6Z`rFQ2DDseroiAj5#L3>u;fznHw?Nf*KOu9pQ{AZ`uN>wt zSVr)gxrUeDeFlEGO%i5^nveD~q|fo)CrD>P2UIBOW--9=-SRchz=<#J-^+1teH_j~ zQHud5fPzq!_qDQTyIT-Cyv$TLZ^20n%vf-;f;TkBbDdQqZ{@Y_SO~6HG{Nag?t@L+ z4>!U2M{fU$?bq^l`ZrI(6hKL(0p{ie`#;EacJTwRqx|x7b4K|;%gsr!zJx!ppE$v~ z6k6f-o}DLQz#qQCwviZCeOnC=}kE9;~nN>NS)tl+~a&Z z@BT=`A6c7*s{kLN_~3;j7d1Cb{0qFVF3$Uj1q($CPi^7!07K4w@ZG_uI6DZ0Ic&@q z5J{a2*Rkfa&FB0H7kBJwL$H}W00NJFu_;0~XcIg_=x^$|`&ry^b&H2X2g$>pcK{q0 zzlG6_u^)iJtpyhLH@E^&Zv7h;UY#XKxyA{cYk(9o z52>(2=|le$xY_#|M)DM=M{^%xlZClKSGjewxdAq>Z14(O!(o3otYsJmLPZyU0LN(i z6z?%1O>I-*MWKL>-La|4V<}D*FaY#-2U34I@2Rih{X%eA(WPke_`K62-{d_%eo~Qp z!hi5fTsb+OciHa&)Y7fI%cEf*y5A+Jp5wr8=RF*KHLs%cH7LDZtkn3N;3S3)8_Vk* zW|oiuU5CA(D`;4?I8~fV34UG|z2xv5RUAAAC%m`93Gc?x5TV=24?DtUHCX()<4PR&U!X6&KKo!2q+_z30$P+wu0rQ+X%VA-`{G0543K(hX{(*ZZPI4s} zn|r`T*`C&8?O~0V`G+Y^4tSob1Ru9w{JjqrA4Ud~j-D;9!hP21I8!(`tPO1!Udan8 z{E;x-gIxk@u=T~?F(okVDJ@>eLu9e*v~esAm9rbRK5Wl3gSqGoa~rtbSOYNTO+Qd^ z6uUwwr-YVJh!_4P~KB@Q;AK*CCjOP;f={(Zv0 zy9s8`2E3nuxt4Asqn~I!eah#eDgq*v`j*dayD9b8Z@2?}dHw%V4j-WRtPOAcg?AFX zIbJKy8b6wsVqj`M2WGwS-lyZBm5HkblK98Z&ERE{@NA}mDJVNY1y{p;cCqo~cJ2p1 ze`00^s^C%!+-H}5_UwKUZa@{xBzwYT9`q8hmu?QWRSJGiW$+1e9;LJ~jf%#tF?h4xOz@4$veGorUtyu@3fZ&f87g6n zvT7+`R?mKF48EPg_nb#@eF1n$#dYB}@GP=y)12Eh0$^nYQ+nnJzL%Kud?B@ljtgr* zTYwN7P${yO@a%d0ZrDaJb7}uw?P2a;+QVduQ?ES)lNGfGU!r>L0kY1TEVYMjL@V2a zifpJoKsBLz-X3(h`b(FqtS@+F2kI>+yv>1WF1*9t{AW;bn#O+x#fDwQ2MTM5nhWC} zy8oI)#{CfWl23~bOqo{9u^g3Ra5s(mP1E>aSao8LGWT3;Rs;3`!WxbH+!JvZK-Y!u z)__gB*p!@x!-%9(r#@Tg=>#K{>Z_+e|MBs&zO|}&3)rMF;fYECcWn4Vc5DY>K;)@R zX>7f~m%ZWX=%bJDt^qeq>hLhwvJp@`;5iS;4sIDCX6B>&>12DDT4tNC$VtsX`(csl}r)l-U6q;glQOyv8;UK!VgPL2|`G zTKwP%b;!y}oK6(KYyugOYpb#>Q$6jAT|Rz<{VFOUzOOoUJvt`!e5cu8Ljkr;by3-3 z>A?q%r&y{}2U{19fmh-{>#V&GcK7^Ne7h8CulVE}mhEgzDU@LG&x}LsS)jJom6n{i zVhx0#OO4KU7WkQ+U?) zfM*5dRK;7CE)ZR z6L=p3>s6GE0G@&_I!|bS&)p|)GWUApKaSnT$rU&f$H6}0=7{hX0{AWi z+@tZl(Di~1%u42df#*Maf#~(GFW|n)NY6_9#90XY|2KLipkg&82t5dg5C##>AY4b7 zNtjDmMEH(Sc?g#6z_cTDA{;?Dfp8jO8sP@Qp9xPAUL$--X!I)&{|mwagg%4;gi(YE zg!2ej6Yd~9M0l34i0}pBJ3{4Q$`@fT!a;;z5{41R5hf8XB3wh5LAZ~wfbap~D?)=K zJl^_*)`YzXT?zdNLkOo5E+Sk+V1 z!%-?ZR`<8A33rzk%Q3Sicemv$9$t0#|HLy3j99$h7dguAXq{IF(>hfRH+>L~4=;*n zGKu5W6HQh%c|LIyE*1)j<1Ps_#npH@ahxBZF&@n0ll?a!&TB^yRMq5m)wmOJIelv4 za{PY8@fwUKteXEm7pm4n9LezlhbD=*9RBDUygadOph+P)toSjrs2WcrF1ue*O}@Gs zUssK%6PN2_S2cO@HJ*Ms{LE_d{ndCDaoPRhYCO9d&m|7)o6O`_lb@}|BdV282ywZ5 zG}Yu`)#L@$!n;CT_Fq^{e!Chks>UBx^Iu$zzo^Ew)%dGwyu2F!P>l;7yguaeGN{Il ziOcyhtHzbpxFvD9e^^)J_Qd7(=|o&^FW$r(Q2m8flP3_bPx3V4&4_0bhxrmS1=Zx* zYI3C~&%f;7j(BVG??>ESdD<7f5pa&pYg`)$q7&~@cU~HT|pBx$-7ab$pK)4Yy z89O#KFesdd4B<`*9~U>at1dm9chhlATuiSX5PwW)Y+OuuaGdNfJ}NLGe0)@B2(yr- zm=RS}=oIoUs6s*`LgPXOQ51xJ{RFm>@8}2!$EdFaAzBj}6A0-<_qO1s6Es9yTR4DY zo5X%-D|QsR0Aic9fy26kAj|+91IIKt+JU2KaMBUNgy*>hTR6JF(H0I-bcA>vg?4a0 z4UREzpb3~fE-o-ABD6iHz=NuBEV=eVKwP3GG#(@moX-xGJaj?`eL1&C;y*9!EnN3;^LtsLc(J;5rM&>k)cs>s>nc% zoX^lO)xRW#m3%;@yUMasRVGPK{$D03AUIl+_)mp~`Hl~XQ^kbF#m7XkY6@^u3jsd9 zzV34U^Lo{_3aV$~e;+Wmb8N$Cc!h+@R0xQUj0#s_8;T9bRuNEHNW4erS1S1bi+t2q zRa^u_21W&r4-NUZLapxZZwnRUt1S1wlw4)$S8*qof3B*gAVgeJXT*-?%9J+c;a9E`7JjF|c@$u<5G}+Ap>Q@1Y=Yn{hRGv@u3*Oxp7MY5A1fq6h`~Y__~X92 z!I_;d+Y?#XQScifbQk2Ss324gmpjKf`GAO6=Ll$Hx&YvW><7ezhB9m714H9R1V+Sj zI~0)pFnxQhE3|jlbw8IF=!h^74TD+_kB)LnK(BCNxrjBDY+{+K)N7Tp`OKXgQ4 z^B8ntq2zzlpiT_)ykZ_N2n-JEBOSOC5-^z8e{yFx-$<}$uDCmEXl?P(mLjkxg0YT@ zkBH!>+|{Gnz8JnBD1&XsoSI1G==AK5xB&(0Y&M#qDDd^coyWF}K2g#kxH)nm_N=*$K)UX`w4@`UhQCxV2i-xLtd%jbQIoV`Z(J1tZ!t`{7;Q_{jX& z+mXAU$FNGxIUmw~bMP6Y z!|ltq<(DRn7HNa7+UIlUw6Fbq+KClyce~@n-O1|C zP2Y`Yj|KYQ-nn!1DKl5Y*W()fY~MK0sMo&1 zUlonLon*S>lh*0Rl8k~RtBI|lSB2Pnbo=(y$k|u>4|){XYWodGWxpdaWxp?rYv`X{ zXIt|Z5jQ$2FF%Gjm2*3N0Sfp^Ro6<05==Q1#LC zn}2unnTdC6%3l*!yseQP*L0Eal{Pc}dg1iS z_QQ8RxYqu0#=31kvdOU1pn?~#v?;A;=0%$NMH?J*Iq{Wkx!Sni%Vz%R@2s`2&PiK4 zH%Xs#?eKip@ac-E3g!9{R*CUjmI}iCeFyu+r_B1Mk#ufi-~9{j&fj1>z|AwvY}>7m z%f4xI&*DXxU3=I4-@SBB{`th28h#~1!)|PDJ9+xzNkgCog}i?}`^!@E-6L1jJCG!d zJJ3OO;Zol9>5R6=z3aTC$9(6&Wh+Mp6wp*HN{q@ z>^gj>$t6FtZNIe(95H`(vk5t`=EqMicD1=MFx`2Bq48zeGE)e66X2mpvV5JEbCO%@e2EjdIJEn<=$pOY23PXxl%v;`I7uwPW{A z`)oMZ)+IAMzLTxZoRQmUpq`a2R zDom2y22Cj3aebP{edBdo*TxGe{T?-DMd7skin7GuXiSKuSx&F{?{_9N=&*O_hd!&G zw{2+G$)k4NnwuQ@eX>6EA!Ul6%Z98ij~ru%wz@1Ek*<+4jjH4@W%L->ld>%2>L-#%rt+tI$a=gHWD@sZDrGS&_)FRhuo z`Mytj-`2|O+hgat9=cKgLQTv0nzemz`xN`^`+dm!#&H zmQLfY2(ue*dK~}oY-xusbCNOrj~Y)2dH?$IB*)3=PrEdjKF;G+_s%6*WlQRqTZFIh zh|Mr>7vN-}=x3TT>1<2et-b#|eRJXduD|wo_NcfPVVIhqr7(Oj?T=MHxq&Bwb`;*6 zfA?AUtiUksiX&^zT1>c_v)Gn37^OvVuc;?DbZGR-RB|u7ux;yHJa{7drExQSnh}iCj^j?rH>Q-^I9|U$X?2$;S51P4#@uO= zv3J0i9j~3gU8CctI|I%yZe!7Y_oddqH2Kvax6@gpU(P)Lap3L2ChO1CxSh9T=;N+Q zBTg*I@axi}{}%?S4SqlN$>PIjL-WMo@gI9#9XHwg{=p!e8U$vJw=z{+%D!({;1FB? zmehIU_Yca#feoI;!G3?8-l&YQ(4|I~o0tO@fV0~0}EP)AT0))y2;@NH$I zFN7Mk+QR(O7Uq{dg_L$i3nu+A*Oux^@QXueS}GT$Q@ zDUS+9^)3jt>JX!<&EDROK7M2R*hPDdhMlK4IM*a$u#u|l*Ws1VoGF@TXaxPL=}SfJrY1FNH)~s?c5@s@aHR~t*Q#uf^Ff8+)Zbi4`gS#3M_(HXXVy4i1|r!V zi~e22Xt>*m5#r!}Wi-qL`T1z(Dj00!I~#64mf6SAJxCzT8pndaIOacENDw;1eM?m{ z7F@`F^-<7A2L7)j~XYq4{`VP2gkTvkq9`%d591d7$ppY6P#wp z0zq^i;@TlRDx||`ILD(i9KN33IG4|s*Q&uvfcbScUW;S{&)`(yi-E&Ujm|8o#$i@f zMGpJes_xWPJ*cT99}Xl(4?hX>A>Q4wPJ{}iv? zA|t_C&t0}L*K3oNU}jR4+gNj+PFPOvWsLLT@R@;lGhBEmwlFD4Ymb2+v_G)m%@gepR7LOVixLMK8sp&wxwVFFw0vPZEI-o@K7sF1#4*Um)0YVtzIL1L3>~aX<;3WpbijSp*VF)uW zG%_eO1_fXs{AgqlhrTt&SA~0eb_ogTlE}hCe<5IORGwf|c#;SPtp&BZZ)9X&99g*; z2G?g?)ANKYHKH%Of(yb(xMJh{#201=@qhzh&JYebj9vc`(O(EK9xnG^$$2=jIu|@V zTnDYRgWxE9Tz#$di}pOeN;@8JJfx!14&4oc6kxgsK*&LWp1`r}oMCQ)h#XTmi1LYu zb>Iv*9&i}=(*SzG)d;I#2$aKQKv%HG8s*`~vrsV{9#0JT#&~$%!J6X5bzp9I{NXGv zwBhlyYG)33Ix7A1^u$9s@P@$Cg)_HETA$|O@^nV)?09;syOPsi)!rFWiN>1{&pqL< z3zTUH{3hz<2W{}r2CnYt2LDt#8+6HCs|7X8_9Ef0FQi@9tRUUE&ORKf?}P!I6?zv2(${GaiMabZ3&KH2=6f4svBhFBt?yr#0U z3ujjb{q%R00|WeD4-dz%SO^j8`6+*sroYb*`VEFKaLy11C1MMqVY%?@**K7( z&J_D3&N`~rl$=uD1VUkz0?VSR{ze%Uup#GEa^mB}9<|`hU z(!bUTwlrM%KrOSrepi3RCJ5wMB4{w>^1Uwdzb`+u)j*!3!7XZzZJ{Kw%>Hf^<1JgR zFF6fW^U1G$7@u=Y=z#EuP-jhetn-jz?(EuGAM9~EKwwPhFt%$6bixX-vw#Ei(XyVI zMTFO9bnoHf8K}{@=GSdzkK3U_hrpHr-)IjPcUN#K;NCW8jmA4VB0M+|LZh2|-_V%I z@F>_f6&>Xn8W$EFf^JnY{CXf`8{#rr6PMA3xQuqy3*>mSF6kNP?`O4L6*9&jlymkA|-Frp%A3S{Y`{O6Y zPoF)1@yE+QwI!uxuU@}-TVC<*{fCdAJ`0K(H4O}nY8jiD);6nC*IZezzD0wEjT&1v zv1;0^`4=rzEnBs2)3#lE>kb_|+1PgOV%N1>_Z~fa^|tTR*8%owNlt-5upxKc_^|K^ z6C)y{qBWCZV&mc`Pf19eI%@P+W5x#jv;6C6(`U^5zn%a8+wuQzm%np=7gx6d1J&+> z277o8@$w$(Gt3v>f9mJ|B`^Pfmj8dE{Do?xAC7YJ_-Fk$vcHak{|zIcB3bvxU;6Ry zzw!u%I7?CaS3~ii{mK6I^YfqOSKkMo8~@GtUtfXY+vy|?ga&ZVZIy5?pP{RN&#S(R z>hAxu+*Z0$3YF*lOrgMwz(46zR;L*W8FZDvxmLkcJ|8L~)Dj9`bNdM}gS3U!C2#UG z74Cp+1s7Py;$|YuA#H`hY#jq_xZIbmW5f#+$yFt=!~qRhz{AHi1~g&BalHnOhBz!c zFq1$W(~KsCIIiQMNh6MHHfUB8$F&BMnu1Wg8UTsuLNNgUTY&}0$EwGK4d#Bq%T zO+N9uoC*cR<$bD!#FZp3B93b-Xo`vBoED9iIL?XDloM~jsUR%m#{yjl(BK`#z3u@x>b4=dERV4Q#-ja9# z@m9pmsC~629!Byu#5Kg*5>FtG8<)@|5pU0_kV0IZD5nv}H7hi$iFe{uNGEPXJcGC` z@l4`fh-VS+MLe50?s-9zPh4IPDP67gcN@a ziQ`-G(8&6s+Qf@VZbrPEcpc)#i+Fj|C2mRFoVYb{C2@P=^@z*ka(&|RxNJdOP3{{I z_aokrco^|U#1n|)t02*&5N|?!HE}EA8N{0s&m!K8cs}vw#0!akLA;oF3*zO(Rm6=K z^YUp)+>&@J;?~4l6SpVchB$naj+mpDGcrW5A;=PI65w|DqM7$4iZ{mH42M~84t|2ZG zPa-Z6Pb2O`Je@ecQxr`maTns*#9fIO5_cnBOnd>K9f(^K zSI`8{p11*VHSt=+{fL_o4vKYi0k|+`q7b=huX|lDH{x6>)_PcW)=VC+;M>C+;n~x8v>u zWcS21vU}o5vily~eVXi^c)IMKc&6;$p1aSM<-`kQc|R^MlI6s;vfPQwg_S)2ro@#p zcja=G%+;LR$=ri;Cz*S5?oHfa8s`DTt%z%g^W7H$=wZe)hp050{b;7Jk&R#!TVw~c>jwgio%T|t|1OD z8e?+QBBDV(3mViTqKTz@DR$scMN(S(tI)RUo^NbV<6c(I_pLlaNo z#!>tl3THgUgW4`MsHsCUk?J8*R~}p*N%rF@e^|~F!9D8vuq03?$4d%B!Tg{uaTwcY zfgIb1tta2-RwAHjBF3%hdU`ybScA$P;Tz;G?uK;1eAwijF2 zts~!0VY@-@!=1DCV+&Gh?!eW$o``sN66*- zFKl17uqq?Vv7KRl<@m9^*#eW@W4l8x$B*p~(<8gbc8KLC=O5dnEtIAlek_zW%H{IF z_Gt^LrS1)}V|c#0@UXpN`sDDi-D3V|c!1Pke8ctX3(LDd+xLPcfbAONlgk%%_*j2( z{MgQIA$9WoCboCva`|Dq$N1#@Vf(iQ*Yf==_5;kHCzUt$2jpMEuLt;z(~S>UZk6o@ z`-v_1lJkY`Y{8c^g_FR_rIJr&JQM>8}>WQhn((6mQPPz zK2h(h-!8Zw+f!GL*iUhNPHyMeUy;lG0{bm;IezTFSTEJf0sFIl`w3$Cu1pv9bNzH; zf7j>O@2hf5ccp(E2lRO)tN%(ljt~0s*lOY7c!BjIms2py=Rjyt+~7E(Uypn|sSJ^i zE7;<2=aoFZV2HehO@jPj$@Hh1;kybd>lL4)zA!cZPPw0_L5i>|-${cDx! z!~G=~n;*I7<4J#Az2J36-#;H8D&Z=KZ>I9MkUyE^Mrg zU@7A5tg`>}cGh24-umrE-=AD=Zjg60yjaF4f3d8c@O!mXi<`9)Vm&fm_Yd<`GPu(~m$6q-fV*HiujmPhz8}E4hmFdO3P}q8%;a7ir zi-lbvm=3vSc{)6G>Ez|_u4{)p9&eqT$Ky%0i{m!7v%ilAM*z8n@_2l8?T5!x*`Ihk zuDbl|hg-E?BiTq$HT_=DleppG4$|XT4kL8=!Th6*+%kB&{B?5f-$gf$$mJ|wSJ6M# zL{GH|r^VPK@?%r8fuiU+dUV1S0FPXjtbIje#y-n_K zgZ1R--dk@R!rZ$+o8X3r@2r=9ln>YS3oh?p&A)dw`A}W^;OUV^O*wtTbk}VzSL?L{ zjBkkEbsxF6F8`JDe14_JcA;d1;x~zF ziT@~j*uuk0C$1#El(>rc1>$zZuM&46eu=m@@$JL|h#w@bA)ZS-iTG{eX~bncK|1lX zB+n#%jCeNjeB!bmqyzB+lCLFROnf5oFw#r3Bra^_yWj$pr;>9GF^)#~H(wOAsB>$ec@it!m=ZISp z-$mS-_-W$y#FrCS6F)@Uk9Z#OFyi}(ClJ3zJcW1x@zuoT`EmyFY?5aYzf3%n>c@n5 zKFKc14cro$o#LJ1FA#VHwFOLJnEs5t4wE;I5>KH1*qV4b$wP_DdQDj`YMjB# zCxYZ@t@s9=$ekHOW^H_anZQco^|L#1n|i z*Y_0SKa+el@x#PrJ*2F6%^-OS$t|fr_9mW1a#;^4>-o({o=WGy zQ+ZkvFDCh3;^oBU`9T4-|2iZ$-p=dCi@2<}wkB>#@(IKPD83fNtw|n8T;7*Zm$*I2 zX&FwC_bHf@Tut(o#Qlg5B`)t{P!bO#xqRQ9PwBBGc>>Aht9CKTyOKPGsDAnq zUrq8^#I*}}`P3usNA4x!8RUKe@hsxQWd9U@H{$su=c{C(Cnb4Xk{6PEJnN4=K99IP$sJ@)@;Std7V_}zh^tAy zp12=zzIq4ie8l5PoJ&dfaL%j^HKj8Cg-0*cNe1Zv|eX0zH z>uYdzfE%u_3D%V}rp1;$kHzI&e-i?$-7?2?V0ikx^7(1Lo`%2ra(pVWDwnT=T;GJx ziSdz`>x0JYRv-AfO(3iibHjO%F1?(~+Dds{C|Fm|T#nC|>H81YrH{)e=<1pCsA}PB zbnTMMWi6Z>A3nvUAAV&!=kBNK+96+;!PYOk$8{Kd`c0n)L!DLS)#X+F<5Pb6?)fwD zXv5>HtZ&Z8>*|m5FkQRhJQAM8(+@97SASeCYaiwCHG1WV`Qgv-SH`c=wOj5VSI70k zkFO@5tQQ`xw}!Go{<@U+fSu5L*%;j;2 zbNrR#!*y7EUy?qLgr_38;rfuu^l^PnWxquIH}+Gxez_h>Uyk8pzvYInZ_8S3)E8s^ zW$ig~?5}~k_RIBwvNoIR*D*f1ytuxjvcGaJYu~y4-4<4^<#C(q(Z=h_i|f56>iP%Q zFIA>r*8j*h$ZcWtkjszj$tLQ?ajsvKwd$x}NByI$ZRhXN!Y5nhc>~uI%35`lqy9;b z4LOd3_{$B~Z|Tc-CV^$3nUPoqKMtfBocoJvnyFFSb`Xwa8KL zi%${D>A^Ih3x4J1`r69!=1X(ncy?%bVet$Bgf*Y=fuS^fu8{l}tN0>^^dyvd!|D1>E(!)7E zG0hFejs?Y54_a}Ug!hw@qt(Oz*~Fh#X$JME1a|Ug~J~X zyr2ITj{R_4hNBb?r2@WF0f#3X5pbZ9{o(q-mvG?q6z|m!z;OkRGC1miTRS+0z!3?D zuTGlfH%o{qEN%9my{grASKq~qGpU*-2m>Zjuv4u&a*hs9L`4!Ie)fF=}m#KWPL z$!lsLPJ#nX5>L-PNk+8OKfqqpKR_m%v<*i_VLCKd_D)0$Sa~oGF@5riuNivwNJjKF zUONXdd(x-*h)HQ_Svtb>5Ab zKFMGYq9)`d!^}PN_ae`>Zo}G-w%r_tX_p={w6k&f5#>%jHZu%(F6=|D^cl;rDC`JB zZ@Z>Hp?y(C0ztuW7@)c^&7GAJTtNn!=!zq84CAjGW4$4%uw?_k74GMVusoy zwa;LDNi#Y#4CpYFVfxWnh8po(hT4oQhN@3D8QO^-Ifl3R4gEXKbY`eY3TCK{n9DHJ z^#{&too1N*^D~BaL(R^jKkw_d9NoPbI{lzwXjig~^Y%Y6Ome@%Q0e!Yp)jn`IrJaU zw>QVSehh^R2@EyUzGIl)=n%t#^*0%6>%C`a7u)na`iFkR(EH;kh5_xSF)Zr0j-%6I zhDqISGc2h0f!p70dI9|xeCNP0z5ghNNjIi4)QnlfFzw<&hT3j77^crEXXss2yMV<% zxhX?CgH8;U3;Hs2G91LPD8Zkh_F))9&42`kN$K+$Doej*Xy>qvq4w(o488Z~G7NZh znaj-{GR*E&%24T|xQOvP`6xO1w_s@J*O{T<<;bwW(Su=nn^6okH779izL~(#Y5RPJ z0h(_argz!O5XJ|F+20;#m?>UlsJ(lSp=QcUh5^PO8Ky6*eF@X!ZDGYwv)G!UQs~Xl zZlW8*g7d=|3Y~&DpQ&N!bZ!R20E@*8RX%GOrZ3peu;}0~93SK{%rv;d(7VM0hS}Y; z3{}!6h8kBhHh;_PZ^f{vk2OPO$6gGp%?8{ekP&8$?f zr;ZKn`u|y&B8a;aJ8iQtFcxz!zszpD%22G~er5NRLAxF6+V$2-lk18n-WUzM9(3Qa z!C}u9XB9@`vESbeEh>BF_`J;Oi`r97#8Wl0H4DDab{u*NG*z9IV%?~7FNIMJ#k~h= zYC6oj=NS2Yub&Q%REl2Dj0WWowh(t8-n8MSOCz!4v$y+y7}s3<^TS*FqJ3{1Q?#0s zzE8^>e>&6G#3aT*{NbziPnK$$i%$+tnzG?u3o*dR^oL{ZjYXc0M&hV36O?ay8;OI1 zrj=Mss4w;nN;WQ-oi~@4&H5SW_yY}mB(naihzth9K293ovUa=p4__duldrr}TrLR6ZuB`2OYHgR+ zqJ>$ax;VDNG0N|x@!_*yh^q(rR6K3iQq1bw)!(Uc7qO>(NZZs4O~s@?Qk!RtZ6Q9o z(V@a~P#bZDS*t?T>iVL|LxXSBwL6NRLbvT4;n_kA9@?u(npsP+S9||Y3FhUFXPV`= zP4Q8R6XGJL4_jH}$jir4?Dvh^i;PSoar>>;P0PPjiVd$0Z};v&WAWIdJ;z@7*Ac&$ z!ftj+Z7%li-S^|2tTv)S{XKy*W?6_E&7Zn|y~svv?!T&`_E`t9*VkR6w(V#l4mXN1 z84=T2^xZY}L-%IwM4!!p7dnmWAlkLht(Wg&Dfas9%i6z&sKhOb_H)d7n2OgDmmV0t z#7bPVe$2X-woe@=e4JV5aj+yd2p)Q)?%K|xSO zBFe72=pCPmmrpUI`SnFTGet3O#oSi;llzJf=iT)=S=UkA>o>3H?3OO#2Gi_Io98%) z7e^g0&D^RIzk4&PRlqezvA1^ZT=O4|#rwad9cY~*if_LCqO6`pFL90e=F#(8bQZTB z?BgD@(nfsXCr({yXfO7tx$#-Mk}jgjh$a57hxHNFxg*M>b9#xd0!z(X{nkd@Jk0T` z>V8jgMCpRSnLd3*^L1A~e;8pe-n?!-tFxJ%Sai>IMS(?$<2L_ib%T{{#d_DfnJ08^ zCtfI5THO%;aGZN?@QgvBt;LqRliU+V8HyoMKVGrz(o!^g-RH*c+}`4cq)9<@8e5Bj z?)Ogx4SnXw+h12PW%8y@p8a}@$&OEpwib63_qJ@LJ(<~295?DtTY%Pwq*__j`_GiZd zCe5C>`Suj&MjDmdJ$4ZLMBLEc`>w5+oVoPJxo3Nc`59jbkpp{(EiO0OkRtUK=XXr3 zqa4{?e4_~5lX%fVeDLPP2<7)?;(OzDK^kj#A<_6tN%n{Oirc1l_^o>{8?nZ-Kfkk| z(^7nFtXhBitb^!%`G~8bU@zXE5YX=UvQFZ?PCvK1H?^a9I%-zF*JMjk8)p8yqgM;@ z;mXALGXZZM2M$fTJY(Dk$LM<#n!M@WTbwvsEK~l{MYK?c9EwWmBU&xmTM#zvz2l?~ zi<^co>IvzHY!$lVljABuGMeGnU9{X-zs3{GUeu3ziGu=+=WMGbi7kCsJUZ5+pIF<@ zxvus{doj4_wK@G=B(YaqpD`xEeZ{*?4vv`DzlXT(#y-XJGrh!S-*oId%f7v6x4d!P zlzRQdPd<^0Z##As8$WHe;Oa|gr*|gKS?=FKOl{wJtmmydVs1~PjwM@59DDS$NzwKn zAdVUM=7+T}JBp722F;#1xSiNJ(d9w^IvqrXmxZyay@xpJ!nH=769$RuaW@l3d%KD) z&v`z(vfV>Ge05ro&OS0NsfX#QpK zv_nS+h*{f)d<mn9;Ipum}cM#VX#!np_>m=51RFrGr z+EiSjK7Twk&q+Mj^M-SSQ{BZO4ikqj-xA~Ka@)D4$vc(!>c&G8&C<@I+d_lXH%$kN zBeuW0=krn&kAyxFOeVU~_~0o9Jm@`dbCg=tZZ<2~8#+LYd!gR@v0fMP)Wt3HnjZBK zLnmi^8kN~rY(B`!^!RyaapPJi)3N8AMU8j6{1Ls}#DG@TJqu^_7B3xivOCndE=J#>}a;>v!p6dZc(26SvqhleU~!$voxvypbep}z)f4bzG?eeGHx+Vn^WtvRAY%- z`KhO$r0f@ppK6``Bt2IgnwqrdlQjMp?ar>tK1q+fS8cV5`y|Evt~lLyZC>UQF? zzMrHom;o$O!2c&{;k@#P*M9#fooSwaTXE*2bSwGb{|9NFd!36b{60w9@)L@s64T0JMX2h#gx#Gx$mWdLpcp9cDAX?lAa(Ee(v74Dr(UY}(w0^?x(+sZFIn&1 zba-CrJ84YXikZc?-bqb0c~+Xdchbk_^Sd85h{vo?DwB)+~@A$`tXQm4z@3MnSbto)ItLfSLsVeMZ>S4c%q zuYJf=S4fX-*3LZHqeANNpuqjTszSP&rl{{#r$TyXxo&ArMY$yPE}81{xLmqyX}4H$ zxm@b|875N4%B3A;6U`6qDwozRP`t_hu3Q?Fxl{Z5ymIN_^6bOyE;TSp zI4*dVOLva$o4TrBxs<+TmSRvxkTX**8CeD-DU8Y`r6PJh z=dlHErD=-J%YQohRyy&b$hg(+w^C}KpC|5E`&P=|l924N@U2wmj$N}A-_ql;?1 zl^O?>HVPd;^ zf|R}kmw`Mixlvg18_8$SAwZ0nN1^{=Hr{F3c1EqN^k82TwjB)yjU zPW0~g$E4TN1D|P!Rt3M7_C>!VAGaO&T6%8&N^R2TwKUi;W5nlWqV~3(pLOPybbsl# zJK~X7(x_uT>DTtYk_IUz@1D8&l{CI!-@`sDUr9-7MJvOUSJKxF_6)o~^_4U(z`w`& z$XC*u3$IW87Vt_sGx^km8^c~n?{5T!mJfI(dA{6f*S_y7X?}~VZO7TZl7{+^X?H;N zN@~Ci_z$gnaaJvGZ;>e}-j_+W_HOOJ^ktb;WBa4SHV?|Alkq#2-MCsNJ=yv7mX)W= zq~RS}-v~HTCN*&Q(Zb=!GO1PmRQont%cS6$mNw14E0dNOkGtGzG05$cE$oxaq?c}| zFOG^Ylhn2DmMso1lgc}89DDw&GASpa)B9#VWzqnPqFspt%A|dVM~-^bw@iB1e8L~2 zyOc@Cl${1WY+WY({QRlk6w5Lx?V_EcNu4q&phj-Td_|cQ)@9R?Id4j(!52Sm8uGkU zT9q_7yKPaal2e^ZX|JchgIyp6!#fykkqH_KIuMehMp@gM2}LbWBv42ijJjH!uyuVzqBZo9uHS1 zB{nRTZe)))8(6zks;^SOf2pKtku%-kZHeTOHM8HV7bQ|$mgMl~gA(b;pw8o87nVrP zlQ-`+x=)+JIq z^$$(#tU%68iIk*N9DQF4xb~A$`$;QpZu`@_KVEC4v~`aszJ8&V>IKXiZuCeieLG-j zhU%79>bs%m2-izm$>HWzIi|~At@ML3%rtqM zRtlKCciXM?TFKW$(MMXTl^%q~|FmaHh!&@PQD#z+AdZry|16R z?!W}C^kI9+CC?zOG%r3T{iVNFGU##r?W&<#DKDhaS$B7>q%?4be{eT&)-NaRwUX7C z76+EuX{DzfrhEvo)=I_(HIkiFTB-Ncp}pEzf_rAPQWCr<(!f}Y>lk2U1ie@^?2L#W z-xYOsv6EuBauCkT>3g)=Mtr{*DB{@XZP7OxpU~LQn90%MxPQPmFp6zMav1@OB;gvS zV)c%XWLp)yeMSi0!{F#YLKpxJeBl`A4ICYV!B4NlSGR*gg9GE?!_2{fQBl$O)#`}w z$?#$8F!&lYb0)w?JT%ep>E-YU_zF4mBl~6Fgl1~YKuFr~E@W}W`)wqag)D`OF)nX*^Kgu;R@EIleRy{|(sh=32C3y{3HL_8q_pBIV2 zu+U0vJ5q3k!^PH9PzO#8jj|nyz5*jbHR}rBGD)-@85$lN6c`MfTU^3IrzYBZLNV~b zg2#c*RTC*hjt>#s@dr$x?YJ&@;?X5m@Bo>o2ctq{_bzOE3?Op{$dtb>1K_z%Z%@H< zpsV1HKVX~(xC$QL!{7jW4_Cp(Qw;|qJWC4iu^#LV&x*VGy7>$fg#OMx!T>inU-akd z>MVG}F~n<#8*&%5ng8iD?O-91^@a4NWXc)1MLvv3~a=7Vv0!iU8?heO(({TTW<4*^?< z)7_7S+0DfZz8(hgxDW8ca6AZy0P}YnCJY$v;eqxeygY_uY~I6}bHQ!E0CyL#SGzg8 zdU#c)f1ukCHy@CUaQ0wn9Odio`#)%V54fh1CvbcNp^Az$0TCYxiXadW8;19S6h$eK zq9~RiT@et1V&|;b!HS-z*v_ulTQu0ahrMg;o~H>amb0Ay*?lkJ1--BL`~Cm__hFdq z&d%&?o1HCri3shF61&Go1;>R)N5!%?Y!hQbV?$$lMTf_*5s7g@Q9a;eqBL9@N-$)E zF%iV3!FnV@rNzZWM`&XbW8x!7`jF7bpr{aSG)jz(j*kh(6!u9BjSP>&&BR3{N`r7v zs}9JGkLgvL93}RQ4~l@FWYh7-#s$U2Yq>#>nCSSf-J(Kcxu`^3?ykDzKo1SlD=$=d zcvM%dI82vD$Hdi!aod5c#Aqq6mPmP{V?x5Cg5p@^5}{q=!fOkb7!d^Bf~QxPpx_=M zG0{?x40YO7OG%6f4e9|M0%r)ihG;Vm%}O0kUWE?vA*t}A^e`g2>8uH~cb#$Evmhx8 z|3Y0vYIeFDMo|b1Pxv)=ay=@HH5sJBd!@pUiL*atN5WVpm?JXIV&zHlR1ynkqp5N^ z9>FoG*edCM<{O21g+WA)_SzMq;E73vx5TFohvZats(eIF-ViD!NuES`dwXMYod+Q| zFJBSK5c0xA{I2-|oEw!fG9@pm0A359kAKlVBc~vbB8fQ>kUl6oDQjeYW+*XQ`1z-1 zr-0oj`C~~~PH+56>X3C#fgH*M8i2)@f1fc<3J?1`Fuj9fqM-i;P_ZNPVUDP+fut;$ zDGIU&C1oXLC#R-(<4oYGn|^50NT`bM*z)B`gR)YAsc!m|%>3k>>}>e0cUGp3jwihQ zy7O0Rc1}Th2AOlH9CkY66w&d)PtFfd{a=hMgD$_oyv-2tBmd{qb8#HVFiaP zIed)6r#O6$!&Myq$l+WrpF$27ak!Ynk~6Gc85|zN;Yl2x$>A~%@8$3f4kIofQx4m6 z7(FsB!goJpTsVcp863{yu$;qVI9$ZxNgSTZ;rSe1%Hf{Bo(`ufOWAs0XE)vodnCo1R=F5d_a$8lK3 zVcf?iU0)Q`CoeEMXrz^dz0dTQa`}#(uDP!VGv@QV=laYjldyQ5L@U<_Gs5GvKJ&q` ze$Qw(Fo^*a8BAbQptplJnL>e^rk<_qwasLbI6X=D0t}RFm&{x3&Hy>haG3-Va+JTfyIf-EI6sW2jSc&hfAC<2;ZI2?XAmLKt*Ui?yh z|5;l!?R1Is^(VCg#r_#)e+!JQLzvrPo-g1eg1$L<5u5`6MT)@&AAT7TlX0v2aaj9( zPoDm)ZaNKF>2?0M*D9{lTc7KH=uUj+SmF$W4$x;nv`!rKmps@AGHl z&7{%2Lu1HDArWTSab~+Z2}8b=o39@pNcu=OkVM`hj)WP^IR8~E!Yo!A8VUk&-;5i{ zt}Su8f7h23lV6QE`499bN!a>>YSAAB#K*!)^AbVDgB(1Jc=2q#0wEYYpY$B~p-S%I z>F4W@t6tY`Yyw?<`ucmfPs4Iq`N27tQ^CJ5=WGjBjgy146^!HX)5i;JIQ$lA0*CqK*V-?fPN#={dzi7->tE@JiU^PD z0i6r~VL7#7t^WB`co-EG9TLi=B3%!+GZhp^q97sF4OU^Xn4cFl)f;iH5 zi6nChmR~S%sV?ymJ#=FcKDc>#`$0qM=)Hp?BI?jZd^%p=)}gcfT_d8q1V#KvKJM@4 z6i5Goe3l*&4l7%5?I~$=Txe8WILN{e=*QA^3sovOIwmGGA_%W9b#%NB<)hu0!u0^t zAgMBT9KuWi`wmcau3AYw@#rKEtQw}{BG#tk^p?VIK&ZChpcLu-ymD#n7^`$``)kWh zHX44!&o20>;BG-NU9}nT<>Q?Swii%Z9csx?4nCdT3&7n^FJ7BBi4Td7;i^un4OAje z-)?eIOm1s+wO&Ta_kk@e(rbl8W8iPLJp&tF@SwYlrd*V6d{ z`21u5@|htMKAq*$?K2S->d@oDV_|PXt6Uv^_yy3oSRM_3eTJn`7{pQ$M2P&8YCGcraYB zZ9*P%O54u0QgAu7Mg1|I>qr!`g(BeKMfx0{jyIa{?j!}HAAB29YyA4|6&@QL9Sd7%JOzLs8zp!k z|M0M|_}K7X{1kjTI5ffGu*pbujS12w;?v_|z|__0P;Oqe?GO|UTY5pk{Ooc0I%@Ne zi;jRTQfO~|{d9ELv4sN0g!a^<*UE<-Rg#292Klx0kf2DYRn0w&f#l=+W5?)qm%Q?b2AR0zU;` zepom-6m=dx9lI`i%#fBpettyfCOXo8e?$lWly#S&{Mdo|U-ExM=ga>Q9giC~FF#Q} zG){1MES|`@D(B+K5do|MxKXA{PmT3!7q9UKlOotV#ZbP(AdMXp|32T`k zqi88U$pP7TnFko_NW$P+V2qb%81vm);#oo*_RuhmSPQ_|bHZUV!T}Ta1u%9;aJ-b8 z2G|h>vSB3QcswF7#v=z~+?#Mm!JqMHz!>vjjJ+9*vDbnzp0zN>UI50}dSHxaeT=d9 zfw9&q;Ll(f5KOfQPp3E>86-t;JVE&IY>DHvGbo-ZahSDQkQSRQ2;*4<$CF6}aBOH- zQWk9eaXg-dFa~Rdh{cA_c;>)y_|aKeHb~CPSgXlK=&URR@r;CH$;<&5&k#7=4FqG{ zlfyCE4-luD1#kj*v{oN~&V!dSu>Asls}XlU(gR_w1Yep=g+7}z1oz$i0_{ST8k#y3 zmcCTd@TANvyl)ONvUBv$GWax{hwh|;%Flrf@H`41`{F~{RMyl2zb;8W*@LTdw!ocZ zU|IOlr+zOJPAx9)UuAJ;t ze9{2z0Se-ML>Tbd@P`jn@Hq}!TX5Dt5>5gN*(5kFGkbVaR%VKJ49DTnKWfAB%%N~X!EI0S;*-gC zAdZKlbKD&Ga3U`!iwf@L12+UHR*p7*@Bnnj96%bHDQBxlOUGJ30_Z_`@{u|%pmk=^w2Mtbv_!SJ9Xe&6S0QyieYzk4~ zAruS>?E*b76%N=^;Y13TxHj`#?z)7o9dHB%qaiPSBsmP!wwty*&<=3$!yQFo4MCh7 z?qO&P@W0X}!C1?HAxC6zf`?}2d*x<94Wv+c1<;X`v&el6=sP&*H7E&hr*kcYS@L1` zkb+Y(IG}^GRnU~}2<%X0n~q4v!qt?lo;#I;0_l#R~|l3^b$ zAM+J@k$%tS#dchh8?kfbtQNZ7@JxK7iKXyTfZh3?t{V-&&mH(?z<4Uu!HGSUMCy)`XTS+~z8uB@h3gjQ1II$T`i0?=3B~;ZKhZoX zKOg)gXii{FqTpa025c0rh=0uwnw^vdS1uf}0xOK2B;AnV@eR#M$xIumGyeJVynU7}kKIq)Bl0=UZoi^}`_M^Z0-LU@5ha#}9L2 zBSR@E6+}f*p%j1ZU5CM=Ru=yBBYEAlw?v5P?hV5-kK*pX)DZ^3{~%9yrv%$Ryzxp! zu~serdvX6o9>>)S=2kqjxutmHKapR`55$ou&=FSf9q^?X91bVmP6)n26UJR#fvYrn z59iUc>7xpU4uUGkNu#v49P{-OLqN9!g5}qykI~Iobr}97J>HPc$2VH)KL3&)SLXjw zdU6S+u5bwdi~L^f<&*Cj^wMkZI8k9RNfcy}i%E4@^y@Px1?&!c>xv?W6Wmm^1=7N zs9^R|z>k>N`u(1dJxc@5)Z`&lSRQ!k;P~n5s8`Q$7EZ3H#^q%ufnP)TU>@ODwO;y= zq@lUkJ7IN-%K-l=BPUCbfh`Z%0bKq%^7(SLpY`NxZGvumYg5%?m=sx;7t8-I>D@RF z;J>D4r`|BQqeSLkUCaDe{-AW$g}~|cEgkM_RBWBjhU*LZ*-*SSL!KY--+v0o12=P35U5<*Sw_RaA%Ou!11ztT>HeNX0i9VdVv1`^CNKf!q?66Yk7a1 zUc2c;g=D6s7362uW~P^3J0f*QvfnGDmp(2>j>j>KEV2gT6<7C>O|NSewx7k2i+i|d z2E&a$ST-gFAY6~|MCFiX%ts_dQ9ljHNV5xn+- zv^st*k-Z<(g}V(%C8gm>54N=_xOxeL4YBli-F?CDQc&*rIyYYSad(5Tp=hnugQ(}r zdY&2Jy1?=jF0tclr{JZe6yRmmAlM**RT{2Rm}%UgySTZr^+lNBA65tZdHLY6rf}@} zKjCNf#`6j^0tJpB{0GNZ*Bx29Zl2O5;;M@)H!zVum`BMyDmKiPmD>k_DDbni!xz=s zUSb`&ilyA$@>>(pfj@b)`Llg2JR4VT09z6Gl)5c@ngRP%uor^29=PcQC()yGeL4g- zBj8#tk)THp1sji>8f*C@`S`vBcKH5{&gvIkAg@(WPkt=i<^5m$SS}TV2N0Kg9sPe& zO@Vk*nQ|YRj%$^2FW@lT)`W&yP{L_XL3&viJrwve9dG%%&-rKiFMCr-Hy zcGytC81eRlio@6g7%7S!H&{gNxL{|0yjPDO${jBZGqVd)Q^)|JD4(HiA>JnvcGm!h zvRggz`OulPJcN&}OZ=bE00#|EXYYmg7~z$X$I^9iloVeGA`jLd;cLlkkiBuoscR5MnX^%7gXL$>&tj6R-WY9QYArT!21Y|06qYpbhLdLqFAd0lNOFr6&!7 zFR1b9ZX(~50KCQ~|KR>`7@Q+T!SB(*DOp@M_6!idj}wY@gL6A_W(F4+LU2SxXfJZ+ zg-`Y|9Y64WFMN3mpU=TPj7Y+VN4yijWHkynwohyv{#IEad=|r- zDaG)C1`tCSzo;@i7Qy$=;!pxS5QOutxN!EQ4rpZU&z)Y0eBu0)chG^iG9X`JRe0BW$gO7g~pr3Es0N&m{=`#P8vpyf3w$+{qfPO>%HA8*A4gt{R zzB@=sf}@mw6QIZM2ld1|0I1#j|8Zr-@b+c7@2P3ejgUE9p2YJZ+yfe0 z_Z9*=gyq)vyF$OtcvQUW<70Yd%THtGH+n{EzsCT%lkezy1v~xqu)QPq{cJz(d%+S8 zOBwC=Be?H<08bI&>r-uIRj=_R?tAu=7{8}m+#XMy&3*5=l({*kUlWfLiWU8+Adg*iEHut?_6*FkXHGfUV2h3BW8(r6KdCa|! z;0f~vzV&RG@Psk8vSCi#dB%)FGroLs`IBkgZ_bf-?k}11=kW8AlT*!{PdqeKG_ZzQ z;q@%0U;H~R{v(&}3zK6tvGUA{uZ)p@qxRy1-!NSQpnW9vEn|&V%{7#;5kg7Z7|r^n zPffV6sYD82NBrz!CTUBa`V#iN8TC23r9}IEl~wr;sOLT_$l_!yX*=<*+}8J4*h!Qut@fo?-|~NF33} zK_VF-I62?0w2Oq)&z)dS?{JPUio<;*q#DQcVZ#y`iz{bLv-U)f z`eV5CbGYx{l(FHNOIZAI1zSH&SLwc=gYZLbV(Iqp2rioB9fYIt_k1u;J%5nH=P{-R zmK$_wlG!_WZ{uZMxp8u+7kN>|Ri*a(K$s7{x2~LOck{xB*mp{<9xEXd^B>{(PkPmP zfR5Xq4-yFT0M{oUfXeBOF}z!Md>w!wi6a&2fQ?sk<4K$9b)B%PHvB^cWVLi6qBcGI{*kM7=;XbR zBqck}$ooG@m`zXKcdAteUQRHlQXBZ$`=4fFs_)oY!$}kiPP6$T%90ai!qwmZ#~Ajce`xFxM)bL%@|jT z%(r4JDl4eKSk*pt8^+Z8*zFjXTo2lTam5{P_I<@BP00I+%M*;rdx?uKRTC^5ev7=1 zxGMB0`~KlB8_D~IMMLM3_X|^}3d#F~i{b{5_Xk&52b1>&%S>9a?*|r{llK9ON?#Ie zX`5b&^UWQ1o#3L$UCH}=t339w@Ab`TN#4_29kYO7%j<^ZJ-pPHVFXtkxlgdnGm^Y# zx4Qj)f>lpivhUCBIFI05(Kmu6=LfUz%WZg#;OdVO^4?oCZ6m?umA2%4wzBf^1XsEL zNpMNu7}8&<_6G>IRJ35nb)p z=eNz-#!vt9n_k$> zbAl^}*^~E=mfY=1u&m_>f~66^6I>pBmEazxR;j7lR|x@IoH=-wfMMIT?V^cuSxIDOT{E(Dj9W)oc0b_v0idycbV=hp8#gk41SGPzaSk%3k;G%@B1XI!12u9vt39k6mh|DYHF>VB_mUSe! zdv)t=M zaLF(qg5kSU1Xmr6Be=X@I>8k$MiPv&XR_g^%UB$@jbO{YM+vUByhgBe;B$f{t3DB2 zb;sf%&ab*&GlHu`z68s91QT4D7*8-7luoeafRSuiI)mWq4!^P3b}PZEKPy@K&PxP~ ze|< zTze2KotH>()!#!1uI@dC;EK&N38p?TC0HWaOt5I|L4vEcohMj&?=HdR25L6m`5%I- z{TdMep_+CkSkIrp?SP-Y!BT?(#k&G8Wq)k+2lX`2t^590HU{4Uqi(+)Ii^S%=(%R( zTF-Vb0%}Oo+Jf#sfAY8OU9ITd1~JM}U#)59tM=

    prI z9liHh)!}zxUi9Vnuf5!Dyy^OB-Me(nv8U;R5vo}cUbIv6rEww)Z~F4VbE;*R+exixpG}@q zX7BN)Z`L1KaDKZ3-SFz=vrppNaC&SDba=9I!^T5j1G}D(4m%rTM?dsFzujp?C)&Dr z!*T zyzFb>_O*YAKP~J;cMx6l*m}u{Za_6YxT1bjx?sld^@8Aiy+LCdj2!i*Ca}r3_frNh zu%>VJY?s$9y$${4e9L+F;Jv?nn%wVpYKkTOt$oJkaqWb(Ymuaj>qJ*Na9i9jw=4r` z*@TxFo1b^0?YC|;{_t5$x5)N8G59#Vul0|~z5^^f(UnWLJsB?ur2nzL+igg*Ksw;r z+Jv^dDcZ?pra`i(B`sT2F(qTLH*I*nbngsnG40rVPxBGW+tV`#Ic}OW_FW)bKVsVZ zpKjkS#n{pc-_=>$_jaI%4s^Qn(yKK+bAx027)1cxqn%^EWLJAyGi``r&}Bcmp?84e z_9fBu!R4PFr!H+lOWyy|=I&sc4q|*aEa(?Z$DVsXA@ny_dQK-3r-Gz+zVUR zgMOBw*t&eN9c?IR@+7o0f;OKVa`w%#u5^LbgTRyOdUV<9caH69ylH9o&fx*WLg~4E zIwl1i38fe3y)&D*t_yu(`lj`tM4@!T+PT+{{NqMnS2(S0yrvz!>ZTKY$D{)tE~=Tm z+%bTbw;$4~$}EJwnfToL{X>c#=#1LR4XOiE{f16_c()xb+&U`K8nvL`xwhJ=+9Re- zlgHW3%l4vg502TEX&XofIZki;WpM-AsmY4@))i4)I|}K)M~z-DzTigpzR_TQ!)EUE zn90TcTepv-TfXc5a>XVWx@9Z-lfk`1=y7c~Zz(<2g7%%3?#}CX2p?jpCo-)v=EA5y)#B+U6588eBTyML;5PI9+){@3)A@rc7*9Myz zb*2+GG_=j!CV}^ne{4GArkGwgr{QSnj4*otV);9-F5PIk!J;X)?HbYQx%)Snj%!4> zHn?jOtZGR+4t=snG(Mc3VpS6Vv{zgD+WhgMNqa2lO~3VBm%g9Z{^?fy7AlD<9G;kfhSuC&A4fCEoQcBhZiX|IAK0_cu4lWh7n z38MonG#}bW^`M*7KR?)DU?bY-j|=T~wP)xPyJ+S3&purLqv@ju-nIIxoiE+{)B9`B z>UE_%?&y9>{5XOxJ$Q7(bwLCzvs`F0>v$-g9UAnv!o59x$ti5z_Jjy}N!jNKRwixf zrPW1)H`eb$JCE)ZapPkM-ECPPQ+1VuZhx!8xWbI4^q2jmSEnYmr}LieM``}e>Df)L zRgEz0M4RkOyIFrgH2n}Q*&{Xxr*BL@lF(BXLO-6q&2;pq&UE^~9f40@N72!N;hnY| zX+W3zY!v;uRYG5>|I3Px1Dn%phB0L}-(BLft=-aD{R<&N*pB^yimidPH68enk;hfF+edt9S zZ~ORl?Ml0J`R&u(_I>D^CqH{F?%R(Z)zRQV+h$SpOku?9L(yS$=K*J|-<5>Wzm1HD z-1>V5ZXETdoo0>?YP+pBZIjyAV%c8<=?{6n2i%qi(J_0Kqo= zD;Yo+m=-S7`1Yrzn=gH-AKZfe`*7m*;z)n`i*SHZ!a_oChg zc6^uDxaqXMbmZCtw@$xmPEU~vR+yFapdB0&XL_uNp(k(pT0OZifG#}|aOF$%Kzg%z z%EJKH82WO%lGfI#akSfYuiuY$N~C)(7fSB_o=BU?8((*B8cN&6jQ{$kq91MDJnFo3 zTL2x>(c$grul?wQO$Ua4{1!`}9#~Q@MLm#?Fzxnk^TRm$(s}1Qqxy8F3j&6k9SjYo zXNW^D?GyB*N1i^_@5xLlJ#1i~aROx`eP`a~&iNNQ&?`O~uBqtUg0l}ITAY~NH$Hs; zJ!3%Nhgs{q>2>zEI;$E7(&M6q!^g@J=`Tl`JUg~IhQ4`mQ2w381L?toXQNN~ar9)f zvt|bhJn8*Q>RpU1A3)0&F1l7_kU-Bbxp}TQtTEmE{=SWNIpK74hYfFrJ`JPI<5v%e zNsFQnTD)(4-=+d_ygWko!~WT=AKUU=^jU1pSJ5t-*>$GVZ~ov>G;_9edr+x zbYzq9$+I6h(I;Oyoc6wvKzI0bXI4r~1Z}nH!HYKCV(94oj=ol_;%T=xt&>|g2hmxs zKIcz$OQh@WC$QcC{0tuZ6mhtk!`k3@_CxjfehZyw2Tl@ii+i6p@ScXTexKeh=F&{D ze6sE3iklk7r-f%q>(B*?Y0bn9%&%&gPqY7SQFLL3;@WSYO>U`3P5|7=bBRl}^Qj;hF*FasQm>+YgO8m7TPACH(` z3lu#Qt*Qj`G|aibR)%CBTcX(QF<|5E*%~JPMbu19kyLTcH>>jCbPXf>c)BDiH&wAw z_{L`46b)lnb9G;f)1?ZP*ZM6>CTN(VL63XC7&A@b?HfIB!8i@GHNM}Uk1iL9d(K{S zs%(^oxwP+LYn$p`;v+|g#jPH$VYZJ)x_{otrE6>E9utWx9q@##%Eor_B%-oXz zxkS8SUxx40I1S^wA~q~z-h4$X$<6`Kq#EY8j#JJ~cs57T^yZi5(nt+s9y6k3+QTwM zTzR*%hMB)^-J`Fw7m7O$D##wyQNv8ql$`lIYO2`WX2R!Y z?SQ|V{Ehv9sbc2$?a>!}HH><=yQxplQgOir=V6n*HO!l5&B{Ex7K!hUd6*jNsbNkG zxPG$QV2QZ({igm6+%?Pq(_zf$y$cn;B)@xb-xcahHsRSKzamBMfzpEgE>PZ$W_;|ui3lboPoale7|vf7AUM6UQC{PD#IKr3#-W zBRY+<)i68FE%GLGm?5rb`1tq9RvM;n;fL3a)|ZK=*`_pG*iggFIeTH+T$^lhFCTjS zRtpVtVC?O()6bF=Ly8Y}zhtIic5keREQp*aw%y}v{*SSSsoDIgQNJ#e#b39pU-=0& zOoV*XLqV4*V&5APUvdQ+rmH($-gvVsa&qao&!BZ8Ti|?)Utx+=>(jMnt zb)Ty^yFQ@9+Sh7kzL(1UQRD(e_X6h@Ej4OpwpY(4A59i3(ry?H-SSe+yfkzg*X_-G zg+?;0iR6Wvxzv6>{ruuE#fRlj{BJ)~Gd0`4_{DWE71w0FRE~e5W^9{W*x}%?Sn*_? z^--@!YR1Q-*O~)IM~d?wyb5`uQZqv%Jl1wwK3Uw{-zwtwduk@Z?xB_4+R2K7o=*33 z@2HvSneL-xR`V22MVo}7x75rv*QPnmpgvs7(~ma4p=J`NHSRWNZGytX`-6-5H8qoZ zVc;*ncblh}9%k0+^JO*DWJ!4XuWiOC7Oj)se0NdJ3@eK)3+^{jd}ZGx=F=Z)rqQM& zvRBE$Vy|gQGSdrcraXWCtS=tP3cpKhyHMxUj3&jnvsv0gac|W0RnQqV)4YDQ$$keU5$p7`G7 z>(w4d)lBoEbr%CBjZ$3SGxWvS!)m5t>!<@4N`{MDd9=TJOQ~j(qimF`+DsGM9B#Zf z=#ZKjp^E$KVAFZx`ggxB-mZZ3>$+DgZd0Q8w(-UVT<*nUnrn-Ez!?slg3QZLAeC#eYGq7XB zgD374Dken#*2{Az?hhu#?gxJnx7z%^=HYfV^Se1gHQ5O5J?)~TUBG;W;iz?= z8*NZCFHSf}C!h2e?+NQOz2$l}Q&P0yZbGvKig_~@mxQiUGwmuKZ-l|t%1>y8PM&0NBJx?4u{L0-s%VE5)AG%kQo~-b3Ocig3ux8h~P9x)| zDxL)NDVq!7p2e!Tz&k~XN%MRDJr=@_zkTZE^QxzKs&`GA9KwIleaEFVD^$n_zIqSU3&cm;edYA4fa&d6`N&m+~x}UUcO>B;Ox>8G1LEEbS8vno?Ke2Y6Q&KLU~771QK_=xRS zOPi}x#nn^34H^vf9iMe=eI~viEp9);cJUS%pOao~E4#aRhIo1#_o{zj{7wvXUfaxUp5nx}(t3$7 zzNLH4N;gj~R6O+A5PKBHe{1Kg8GG0FS3Eg>zM{h(H6t*j2R^?#LGh$)pyyt&AAR%@DWs>i+WAD$r+Y zt3&+)OB6TE!-`H{g8Auy;_}4?Xj#?f$FJr~~ zv)j4g`EBQKvlpGeKS43-?PcYVM`~v50p}J`)4|_vB@Xxo^W)UEXXlP^oGIRXx$olT z&(+M6E-M<%npv#)_NMvMh`-d#r<)hM&lz2!NZUQDwTW8IoNQ~e+IwlSIA+?CtP9m@ zX8)Euy>1?jSA4dO-n;Uxnko8r>ed!{o?=`09@|MU-%H;A9@t=Yi6WrSlUaG-4;bGc zet|kMS?qEAb?a>K7yRdK?pSjzL(z4>=QqQ@shJ?>T@PYz%~3oKZ}n!Tfre=}Jz>a0 zb*ZAe@d{Cek%qa^h92!`3K}qg*8fJ&ZR?(L1eDTtl$#;Ks z&@dUZ?r#{2rYqW{e!A(@6#T=l%lr8~nk^nx^=;rrO2b_KrBNrd%!%UWpFb6L1%GZ+ zAG3>dRFlL#F820*-3t7p1@~`Xclt%q_H^;Ib>I)CJ4SWfdOlga>zVQVp*|YMB~3GW z#*tBq+sAtLmb8WZ9Oh=V8Imr}EYaMdI%t>&`%Ll@M7fFryP@6)b^9=|zf9 zNBhUu1ON5Q2ai7fCub_;8xs?4gEdUfr*BOE&2toErkQm2>Z)O$Pkk5SQ7~1UaoW@~ zwugoZUtiF1OZ^hXn`!k;r$)p2>781WvwO1m+KMwTPQ_}NwI+eTPhKS#PhI`_jy?F} z+3QVj-t5y;eEI31=fnGHn1;8w2Zy9zz71`UFf8%XSLhy5wt^-``yQ{Pg$P ziUeb)l&d2&Of!0?i3^PPfxnJ!yJ!sfvuC%zc=SA3(Ri%Gkn~?P%<1}FJMZ(Drf9w5 zolO|5cW$<+e?D#G426~2u5;TN&>qDBGU0By_&qb@nRkhX`Qx=u#D=U9is3`kT{|t% zFvIeG>-qBdMDfIklb?Go(J+$5{bRmd{Y4?!bAH4~Sf5pwUY=w1VUFTf$?BC`S3~;* zzSwZ1-(+$2nK4sp)`R~qZ}G5f%Phs~^x0nBwrZH}uRO=h&zvB(oNT{x!%hujN^J;I z9Gxw0)i+7qWIwEb{#i24diO+yN6>DkrAk;Y|F!<;e9uYZMf-32=Tyn596@%|386*h;K zZvJ{3)&rAXJzYAur(&Ae)!@bhSRb7)jqE&ag!o3uvR@8A(=fxoXts}CnyIk4I=B7) zR~ly8Ia$zQqge6lVRJl>yoK_YjZaV5nIgW~!ehwIzcmc%$nFz}(ofFo{ni^_*@Q=> zl#z=YPn5=Nn2Cz-1HYU7Co^hwYoI(){u$cs*TnEQ%A-un8J^nTqbPr0yPt4s-y1l` zRTlN?;O@Hf6TbQhHx_tw(*z})`zomqsvD+joDLGYj7LuhZ4Bqc%AwNTS62^e!O|r> z`bV#+aIUPpnqIN&@ua5;!cXz&g(DWgIkZwmx1N{TM9A_Z9$n^i1kSCM=O#sT^SNQo zmRt3%R{wQVrocJ3GN9gsS8u!AVfC-%(Ys~F!@0OpHoxbT6Wb`3znn)eDq8~Q=*qc8 z$FD^8abxN5dp<-@{EvFDAI{yCH$3+&b{^f5rOSBq;(OL`POoGt{@87E#`eF_B|QGZ zKR&~`zjFAkSa;XHb_dz|;nB-755qkHr7#Yk5Hw@yh(}+yaULW^Ded znp*w4ZTTDSAt=-O8ht&st|iM~$)lI#KZJV=$_9otNx^>FZJuN+1x`aos_Q-~N z8A{7IOBUt%7D05ky8p^v+YyF zqgOZk2=|(lrpJag7R_>H^Oy1HGM}q(4@$Xk6+Qv={%>>%kH4g94BV?y)+9bJUYKdl z>i;u3#p74q_Jw;|$~SFS^@}Uu`VZpKktd9gLrO8K_Gshp!OH&`UG=)Q{wovbz&$ag z@u7hUy)Bxu<*Ve;Row&NUYYXLhQ#OXI&t>#XY_I&f4T29xTmJf=;agHdJJd3e?~9j z@ynh}hkI|zTlx6Jo3mds9-T5~;GUea_ka^gi3Xhg`x#xr<5x9V2>0%k_pSdvcWXc! zu6=$&r+D5cHcKV|9c_7j)&@%nFcRdsFq6gdoodxXk} z+-pxpO>koQe@3t5@mKo2hkJ=i^@=zCVPD!DWXI1>=;eI+Kl|XGqjJMPE#K`ic*ohd zpU{hVbX3>??oBEmn~fXOvZyti|Ig?$9)HnQ6S#+|?DYGmd2zGcS$+wRj=tb~o64oX zUw%Kv`93>8{ftiW`7MXQJy7Li$*ua#LkCv=&*+HHud`&l4?m$-fmofepef{>AbMph@(IwBO^$#j% zVz0mMSJ_AqNV0|XwJv+)ePv79YR3KR!Ge4{u74Eq=#|TDHq2kgjBVMsYQadZek6SQ z-ShcpH!&veH@d#baOCQbPdBdgeX)fZ-T8Dh-KYUeSG}suUlw+;^P+9cugmK9>hGtW zA9-}u#kKDa?qIG*-Ci@`6gNI)JbL+}$i9E>Vw{`y7aM1C`b&89$`|IB(H_R{)o<%( zIlpB4FXGW9efke*yN|im^Y4=_(MK6ny{*nU>e1#X6r8Z2d@h^oq6<151xFg}cATjhx8Ye~M3E@%Txr(E3k2dTzlCtLhWX1DB;wW;N2bKaVaAnLKOSNyaF+ zG}kgsyZ+$OQK!GQ9y-NbZ1d-axIh!Ge);qdcl!1{&E$M5PjG)@!j>QL=&I@BSM$y= znJ&Gg!Fim0QT|I-36x6>;tK`E@xQzh)1v3k>#}b4@Pv~;>^plP1y2RKCdlbLZqxC++Qw@ zdS!Qe=|@(6Igc(&O7}We#r*j~Y&XN6^Ph`&^yj#LUSyoA*CaP^;l`hgNB_9#Y`-BF znP2SId^o>E>wog-8GVx%D=#v84tDMN>UXaHQat+J217$_E-^3mhwZ;NmGhre&uaBA zxihBv&?TluDDD1fDd+!G^60Y54_@0`X7-9*E{}T1wQo6(Zh2^U`jE@asS&R$&Sy8` z#s`lsYC9t4$YrMALF3(Vo$Xn=j7NWdwZ%?{E6i`Il9%lto3eBXkA7;{ky*p8Fa_7r z%`UX^IY{g-#iNTFFH@bq!mPew-eel(&C(H%Uf$7UOY^HtpOY!ShzRGAM{nf8FbN){yk1p$T|KQcD%$?NLrXKaoiTpd7+vN8P>w^S)_yR>q7h_c7 z&+Z^-=Y@_x{Jx2n`hSm2E7{*?sw-h#7xwp!_Hwu`9sU2L&v*H75n0TS^{n9ZtK{%0 z4i{hhar%Fg|9=|KFMhWwW8_XldtvyO2d9_t=u+Ni%z|ZTAAC~VFcKg< z)esc`Yz5d4a2Vhmz&(KQbVKwd!w`KNWr*TO8=@VP43X7jLzD{OF~txm0BolkqGW(| za}CjbfT%@=XePiSfC_*$cMQ=DfRww2X!|`w^cLVNfa!fhG!4L3Wr*Yt4bgIdeE?qo zhCebyjh`5zIDj)x4beq_Ezb?nD}ca14N(F>=nF$s2rv=A>b)WI1Ly!S5TM0p$nPtF znGjv5Cq&CEgs7j55ETKOu@j=d0ZJPS(ItR~0B-^E?S*IxKncKVfTIAX0L}wk16bf7 zL`$88=r({F;0?fMfDz4vXm@iV>efPt4gvIb6(R+IftwHo0L%y2+fs<016*n)L^5|F za%~Md0c--O#NaPPX92DOr~sY;yaW)n6QV$XRRG%n6aep|g-9S3qLBb|0c!F=<|rW= z1JHk}5Ul|iK2wMm&JvaO#F&U*LENR!JL5Hu`H1&ISt;wQw3pD91f0&b4>^i!f9^k$MwZ=D!sUHlJ2=y z7U3m7J&P=Z`SQXEuf1NJl<-mzhiw9zuQUPY(NRBL0!}E=k0bKB>BYqnc~Xdjs^jFv zk#sVMEB^#>dE6^H!Nz3?v|-mgoF~jl$Q9QkN#i;^CrdsQUd==1Z%J+Zs8OR*2I1Eg zRfQU}^_3@2b`1|AdEd~B>r3)h@#EsybkFtT*mTtpmkV!G_bz00lq~_j0rFwPuF!~Z zGZEtYHG#NPHciBCV`PKVu)F&I)7RMDr9IyTTaU8YJ7&XUzgiY5T$KlRN zLFIXK)r98}DMXVnR1>!EqS`Qil>sV;xCD6bi1#4&_hS(?-obQ8I`tB5g$CNZD}w{}+z{?5kajRc<4h zrAT09gscWN$gMB4kk*633CxAa9Q-wNKjU11u>msnGY|=EOp#3rK%5D(0h*1UWv&Bd zf*J_ik%`JES12=-8UU|TV&TV52^s3w*X5y z8T>F;j$9WWzl($M%u6E>3y~P=AGfiKsR1&Dx~zf*5H#oN(H_PU)UzejGp=JC9|a)n#_C!( ztjCLW0@QlGehNI_^$%o z;CT39flz>iU7$^x7$P(1-`ajn;eLnfNZtxb;9a%D0Bpjc9&jDTc_P!tElFGv#Jl5o zQlD)Q4x4+zdv9d9^fd%^#E)n7E!OD^ zT@5+7;4v7D8Vb50(_9moF&Hy4Mh&2i&2af_NP04!%8Za>F^ug(6J(lUib`OXybDl+ z^|mucc6$wxWsMc|k;WwcH*7Jx1FeNAYOxOdmdDn}N^TGR#13Iv4FHAdkgRSP%hmA% zou3!0mldlQsc#!Z!OlTXMybf>mmCXn`$eSWv;-^6xn4MfIX`Rb!m@|5Aw9^0pIfkn2-5zAE^rIz^tmgIkm)f?B7d80)7PidUV`&8AfPN8bV&+R3&gS z^}|rEIy%+%N$8LMW^A9tvS3Xj8w_hn01IMofcLvNm`8YNNPEhmUQ#f>fbCDfqZ*1( z1Ms@}a`fY1p5dhtSQsOV7}F}_N@1>{4C)e(k(vg`=y81{%R$I47v38d#r0PhV>mnv zAP&cY4bTrme*|7smlx9M$+7`^#TyqA@W>Vcka2Y~$^ey&N9fK}n6EK!Lm`aI#t7Ao$K?eZ*`yfWkp^%Ir^WnW z6LB~SK!xL+jFA)AOgpfd#$YpXd>lXx(F@vyv#0v;tW2E@D63vR5a#Ph>H+MbUcUvq zP(2;iJu|=ul;S#oe*0Y<`2YMgHbT<&*gq33gx}%6+3o_p9|GZ>`~kTRI~)4qX0!%o+p<)36%ix2=da4$8G%B6y1PyPXNkDTJY!Ug!w#dTao;@wlamb z0-t{+LY-HEsnO;K^CS8$9`-2s>2UtwgGp9{y#ZkTa+q&ze8b;*;>*P@AW9D+uAJ#0=4Nye@tBD+3U!Z@T zc!4SG=XDXPh%bTjhcZexf*k`;VZL_8sGXekr?G#aM?)Z!^BeTzp}zpn4{3NT)CiH$ zv3e+A6Zmcb{?LXl(C6xg`7%ivFM*$q$F>~iTYpO=+lkfp9b^!91{NtXg4_dI2}LC=VjNy;LF9C z!8#b$!!fW9CO)}?zZKLJ2DpF+G|9Bvo6F|t%5)EN4RRuEu_0>B3m z9sxS>bq#BM-8`*-2m7uUp#A{(`RT`jz2&757zmI7%u}5*`GIa8&FQcfN}%+9s-arvsv zR3?=!jg3)bxdqIP^`I@xk?bBU3jnG(UVfO=)dZ*uJU`Bb{PAANb0IPjG~?EEEl~BJ z2zkDMe%2exGOYoccEbpTodSEX*93J~2jjS~9yFdrSfZRVGn8Cx zj(TQTpx_!u)bWZFYAtt0&T-A5zq=ru_BntUr-$*PA2x@MY6KHFj6KK;L0$;*!n)}4 zKtE2Sr!)3T>&Vfk!~Dc6qrlMsISQH}7oh4%|QAP0dA1Tt_QI(|sY&sTu= z0b&|eH&oTnwUE^lxxgIS>d4th_bf^x$ zz}5`eLcg)CwpKN&YFJ5fltLeIHb>6>4Uw~-W3|1?uF9s8?5RlwJxoy#@Jk!OTBCuV zc{Q9%%3QEN41Nh&zkNe!0)Vs+TL+fBuprb3h05Vv0c-{tyK_v@oMHns3D!2FV6BAv zBpCx40@(K!pg`EKAhrUxO(8IslHKtx|Cua5=tfwfqx3`68xV+wmYu+IbI-W1kHIL%6c1e^}qyKa~- zhm21vs0%Ew2FBxK0cr_$!S;#?tgmq&fb)?00@NE|CnrxYjMs$FMz&yU>eqmc#&cXl z0crujt{*@FURc01Kn%2lC$vKgXa}2=1~3oQhk3vP+02D~0yyWWCxCu00-GlSpY)>v zYI+0a!Bb#cQ<|V$D*>7T5RwRG6Wbv1USqHoCa{NLio6QVQR|F)$mO{q_|9g?>Ty$4 zPwoU`$dT||13oF{1C_80ewZ&;(8&^Yf_(kKPxk>I-UEDiH}LVBg74n|))3|bYa|G= zMnRBIXUM+|zvnIkWd-3ny8fG$>` ziy7#G>Gn;aAK)}l=DJ}$83@+akOu-e2;?Bh3xO;IvJl8ZkT0s6?^hxE3jUjs+yseQ z2v9gc?R;A|4qmFrOGEaj9vVqWJL55zVudPP1!x~YoBp7$n>ljJfU`ANyEeYk0Q$BK z63VR!T?uJA;xu8VD6Gr?c@@K4TL^ux#sXp5OE(xJm=0yG8^-c={6OdDiG2`jK^tUJ zP4?nN24I`Cd+{z5?9Dv(fN=qPl*jy0uDbwDZVk4B%SSJa$7_ZSa`zA*g{J_0WEz{4hI) z?2r)jcL}mXL50RhoB?xcjU{S(#R~ZxvqqkB8{}LjM7G67$l@{hh$*&YPO4}Nx&Rb& za`|D-R^+ZuO2LUpMizq5CJwGh41-m4-1>0bQY%h^HrqU&}0Se84z3CKd z0Z$X0{vmvZ!>8sT$4TCR z*gmSW08IywVSaa0+7HVF5FVfJVkjO8pC%jsZW`hq>`0pnc^!8orkZvx}d5mho!4uF}Qj{GoLGsMAODqf4>y*;q|4Zs&R$}m8(E&?55~C=`V18c;~c;>iLE1kSkMIa zVYIeZ;LP@Q;#ajmRS^R8|FHKq;8hie`tPiroe&^EfB*>u*dPeVhY_Npf(8i)7BE8O z!=fgTK%#+clZ}F+rW6&G)`%#vqNa!%6*VGSwAen<+&6@A8HEYf1phVZ5oNP`eo+F6kK;qx`K&nY=N;6${ zGOkqLP|(+P`xWjh+KUfFF2 z`|R~?&8@Ce{t_02ITjA`(;p8vz1Jnw2kV&Eozcyl!MewUHI5mxoH|q#X9h3^NM{Vt zE0WCkybI&=&ZauYF1ooMdo}i`qnwXUFr#+`S$~Tse-cdHJjWb6pElOs!*6y}m$$a7S1&Z+xMck1S;)?A zJf}`J1J(q1hNEXS^ta5Zg3P1q&!Jp_TI-kJ?2QMz8`rPJsb(?ter^rvM;kkiHuh-B z_fX1tKic5lw6{Ge=iPRuQPvsj@GK~l@0iKpkoDVdPU}lJolZ`$Ind~?Y0)LSZE=Y0`GrKwZ?K)7R-zigV&Hn4t2F26=-RHQgXSVOF zPEwjOpFD84b5zqk&cKEmr`OJV@w?W^VoZD;sFUBxJbzgJGX35wuHBQ^?~#4`fN5Xz z5_Q}$FM>m|>lQTK_Pk))Z-3FXdma0fLhE)-y>ZPKIA&X=;F5jXwrH@CV*b&Pu|46*xhOQq{&aBClT3O6V2+&5Tqk{W zYID!Vl=^OUjBOKHKYE&6%!uY+vT44VwXF?~2`wTHn%gX=Z)r+$?b>5MLiTEtBHfJ4 z<`&XGcEb~S<`ZxFRs~G=HTcW8U%#b;x%!=Owl*`a!*7E>x?jw1x9#cHIviZ;50|57 zZL}$!*0paOkdb6E7^@#a{pd;k=t7-Ir0)&#%rEO!$|Bff@9#G|?wWdv>GB0_&G;lU zp87GC`jJlk=tceLNc{*>KWaBR<|UB6m^iRstrz12%CT#Ado^W3_6jrha@S&Keqi?d z<)-~AoA&C18CPX&qJIG!<)@yNE%%;nbs|3T#7DnP1~vL!*RWP9^ZYv**SX;^KQOnt zhII7bBdvctWBO}NLNjZKdA{{E)t%f*;(5KPzQ-|rYbXzl5!^bpa}DWxjcfNf_G4v_ zzjEU@`>#vu$C%C;KoGXL(tI;y)5 zCWW=WCi+O40-@?z62cTZzNM&5JGtqRZ~NRZYCVKTo8RQV#oqkD?Dx}| z*VD|~6<{49&P=XhpJi3N8NDWfbusovF%Rv|Jk;&ISr>8p9gTnJ8^bR!uH4Ps;CwHA zTAPVjTQ`c&fo>+uH7mj9=yg7`JN7RNctQ*!l<_54=Zo4L!uHd+YhmW%84{vP!Cy#oo^x8?8ev`HxOe-O5-I>!c z<}+>WyJ(LC_c`2e?Bnfc%jZ-0)BY{Ttd?JHez1=P^M<|Dd)X15w&qsX7}B45;oe90 zBOEHHvzUB^sWLikSWU{0fr zIJGI>oS<@t8`IW}n{J)V3a)8vWDKP16mG6FT<2c1vy*$B%97uIXJQvKv5GZ)`plv9 zvpt@6=dbl0>-5~XT}}dhxVxXK%;Ka4=`U zmHo_>%%A?F`PH$^twu4oI+FQmzo!1ovHJ1+s4w%Ybd%LLU~u|JEhfoy z9o?z1V}1L&cHx8^cOFVU#M2L&0kmHO1192L>*Y^tJ0jw9<8)Ua#&Z|OuH8p>X~tKt z%_pBiM+VHrV5bd--<)=84>N{2*QlBVGmQD#Am(fRnXmO>zSfI%!(Obx_R35%y_l;d zhrO{+7PofJ?O@K`nPkr7o=KzKJ~pgZ#X6`x+rk2A?X#j}}lP<@BG=$^p=Gm^{< z(&!Y@D1$T_KpG{JMv0_R^6>%l9SD|r_xGFAXh%{RZ=}+`rczc@*Lig)I)-ug42@1~ zWOcwzJGZ=2-%JkAD8X|1>9$YQGt7O!nyB4@B-gwJyN&kV`rU7Cbq#U!`|Au$G6Si{ zy(1mjm&X1y>TPf8ZSR>q8{Kp4H9(AA`YfqWm=F?Zl z6Nfym`z^>U_tK@cnYxWT)5e`MKHiL{%&_l|l0+Fvq3@^7*WN!pH>#aY`!|O)uzt2O zE1f8JW-j~YfV&4+cC;ZfhrmvIU0bvN8mDJ_+WdId#dz+S%i4V=^QA_{o9@{BNW)G! zH*CtokV6=IuofE`L0KGb>gNSa|Fa1rX{WO2H#;4fE8%CyOrDcakG#ANn2hrR=37u; zuko9`=eRtl=Gkv-uVF6rY5{A2pvqq3H@kC{g5k_pj&z?v#KM`#STXY`Hk}2`BCy+D z>o+@z%n3((s|a4&vrmcsUwbv{xn_JBek@bm)E;$cV@G^_ZoKxWEA3IT>AsHksE+nX z`ykhN>ob~vc4%U~i|0u7ki((Z?7_fu*2yVC9_GCmK|mes8cn72XjBCj0y&F=cH)7#Ku*16A6F6d`2 z!2kL9KOO&1!~Y5Re-igUj(Z$K7={ss!Q88FQ>y9FkY>6@LOkPR4UcD$wO0hpYoNs5 z%WrmiQjSUQ_M~-ilPz=fkdu@UCO|a*HwxG*8@>**}+&i9ohpq~k3qe-&TA$e&mS~3IuGO{fdPP5P_r;iBoyh#^Xy#W#nP2s$&+1K|)tmi-El;e8i=KZlCrc#HDy|Kf zgVzPjcI&U->>S(K97{SKN!WWwy3js$#?MapnPhseW8ZGSB-4*}vmfndKibWH)DQa% zyv{kY1M95;(~ovBwr84sByPRT>_xpyiPg(W+K9B{J8_?EGca<48CX!sUj6IMK-L=E zo+77Zts!j?eV22Sv10{y-l)2rNAVt@JsL$*O|a<>Q&$@>pMuTH$*0k*sjfMVewO|3 z2iCjxpFhkvNWXD!x$~R-*QSNyP3OpP-f=n7v}^Rj;kI`gvlSdgTQba4K1w+UDJwkx z{N}X2dLCS9RK{cB)OtzLX_VU=P2+ab)6dHt`FpS;cQlV&Pz7) z*5sHe%gC|8tUo+L{I}AFJZx&8Vmt$KF7eXTZ%!N4&h*Xf z5$Nl54n)T$ZrUc}x6<%HN+7YRd!YJR()M}Az}64H+3Qn$`=9g{mD@&B z?t3=z?6M)rbmW<1knv02s{ykN9Fm_}SET*d+NSJ&(?Gj$slrRUik;uB^UEajOX|Wk z4eib9OrDQ#ZQsnAO&#eHo9|cd377}}OdE(FPB+%0Ht{}I4q?%HV`gXe2k@LkVd9=$ znv!W_IZN_w*8IR)_r9i;*q%Q&^9xP%`?6C|_}y>zU*q;OuQ2AL z^>_PNp67OCO*ELxbMy}aW(O#dKc{yvryoe-8AKe<*w}BuTsFR;llyzlhl~yFz2x3+ z_WR)^#F+%f8wp{;ulN@POvT3mQw#Rk>-}c;na@oB*f&1I&FdnqGw}|>rvY>4e)MIE zClv*I)7IX-PX`nJEMRU0^-5>GzeGE!^}Sa1eR-~jAKht7^_#&>tKa2UCj0unpbhvt zX+Bl=<(@yVGp*dXb5X`OsRi_9xk1L>%$ZrucT%*L)bb9WJ6@$sXfJCXeQ+`G_CYW& z_nFh!+mXWjB!#xyU+*f(Yj5AB_a2eT3Xk{LXV}4{5vMfbl$P1vq>XlWPSts1KK7UX zGhjaXj(odZ@nKl*GrQL^SFqQ_c3U|;ncq8IjXSgR=8JA0;I6~2Vr4oU9W!gKmbn(~ zVF%VMG;U6g=lyxG!`{zt_MUrm<+(>P&po=B^fKRbk0jQkPi3T1&(q5c%Fy6MGq_26 zQ&RRG z{bKJl<=Og3-<6XVXUafP1^03HWHHy<$@6*Yg2vtY?J5w_@A%i&?7yC9ny&8N4fg9% z&U<7s_Zi)_v3h8nYK=)vk26;Ty&tZ>Ptafb%x=3mI*`*f+HSH(K-ZGW=4kr!8Q^Mr z?I83bP;Jen=u3RR%Y3Qt_x8Pc=ZW&wyNsu5;qH0zSK)maHyirJnQizZwrzKg)1GzC z1(cIS<|Jia>2{xIQJ*@EPRMB=WPCc1wO8xU{YS)^V|ju56Z{do`)_l&z6b4j<`cB% z+uiou>;G75&7_WW(@YFE`j0=cS0AVgxzq*v9)Epk--&%At6J{)=aO= z6x^qjC5PLm(pJ5ak`aynX~)Ew#h{9?h~2QP^4?1h1cD}xa0K$4u)>knkMZivR(m#G zf2c`j@+`iG0iGQj?{Y`<_h2t({hgQ_XR<)loR&=c@`}5rS08=%NnuiX>w9LLITZ}! zTCvPefEm^=FReR~);xF3Z1c?3Z9{1X8PlaP_D-X{NL$yV(Q8|2Qw!M3o!buk1htio z?Ope{pD0{INcHXNqPx!2)+BR*`@Uahis`+zXLCwpxBBEd@BMOTa7Xr}A7KWwKd@Em z=WrALqVL}RC?6(_UU}|9dG74ayPR$brdy4v%6){Z${-9As{hJE{#n`nCIdn;4V zCU0$CoQYoMGpFf!1pQa^J*91_@orijHJ|(kX(xE)!P}p1*ZF29g}bV)q>d(|qh)i& zxwK&*J9>@Ak32`|^h!cbtG<#pFO4>jylYI;UVVQbid{4eDFtz62#EUERnMr2pZ4=d zmO2={&keZ$5L^@ux5mn>57HXBdkoWt zvu5UOGTtuxXesde9F6zAdTZZ*B~9G-C5~l{pS^WQ6r`B`ncYqIt+Be3Q%(5^=f;~^ zgiGJg*)l>k(wH7sdHnd*! zq%n5}cEC-0+_3kRIy8_vG;nmk#(PuIWAJ##%NO3UQogu-XeT|Nuyg+<%>9epvA8=X zAqkyy+C19z!?t~_yR~WKnqzY}!WUZ)B%Bp5#+hj^@r@(aKn9TZesfxP`bqjx-7}=T zbK8fmv=7Oq+bbP&oOJDX>1Waz+x}pGe-dNvviO|CSAK5w_7Ft# zEfY6ygL`c`IGkTS-(gQVXkAw5e{(4>ZOcj@*1=y%Ic%7&YK${CfT%xR)h95IO^d+f zt8H7FqhY)HBgQY_*=QM+d-XHkcs(}uPCJ^lx6E$LyE_C9m-ku8q^tWbM5pLFQ0!fZ zG`Ib2DbLZiC2?PzIR?bab8LM$;I0pQePc8YC?mf5l6LsMu1E7CU)$@_dU)>usq9Qq*%92f)~oAjUHF}OcFu8eW^8`E z8T3!DJxJ5@YSOXmx(+$|Esx*yxAc(LZnRJEu8ZcwFusR%F&M@-lb(hTS4RH&E$unz zqVFp4=dLevkM1*Do+mnelT2UwjK1_+ed$a3(wFod?d>q^%GgcyK;fw+Jl^w4zIBjG zou}`Jeeb~SW0M#MbY$Gf`w?Yb8@p16I@)XZaP3;gr20EtIQzC^KR<|uGfm^vQ;mtH z@haMdYk<;HtUu|lDa@+~FXj9P<8@!2MAP&s z=1?z#XgCh%W&-cR%mM$An``*}@qgh)YZ_gAZqi1P_60jh|7T2J=Xb_!5g6mB95t$6 zbldx6um9I`Kj+Pa*alBKNUeJ>^r3Y?6ql@qxqCg87>9aMEyw77@V*W z&geIQy#8JLlYH;NMDxgX-{u_|w-3~K_lJ87y*ZcHcSPgy-B7-J#`o7^VMugL;-iIAFm%`EnqbLkmi?+3wg#D9hb)H{*I%A<{;Q%uTRsyI^6b|*{iun zWB2;5bzNd^-^^go*)c6{y?&`>?cb}1ohSp;N8;L-denEOTMz5KcC9;U(2aaxp0%!} zmvzU2JQGTbv>Nj_JE`=?^aZKZclJ9p>Mb+PVY-yX#wdB3>A3x>>XYJL#`>S?$LRQs zw4ubCb++EDv-M_;q4yWbIdU78Tcs&=`*8JR>MXu(2V!ZOLjFJ9cGS-D zZQ;2sX{GVm;LL%{A9_dkaMvY-c^i%Tq4D3EOZWyI;nLrj*?bp|zqFA&kI$_P^vV2X zppSEH!0TbX`jnNz*yI?-Cb>5U`e&{W^ml$4Xc@_RZt`%`Rb!2vlsnqSbjDWE{jJe( z7B1%df#B6>`EmO~_GfQxJt}Zgm`9LrjAdIrCHL%k-=dAZ+gBZ?503U#Ri!~QFdQ_W z*!xaJpX)RKtLraY!v2w^E!U4gPw<(&@eX^onQyq`9d}-1_pOw5414v?dmln+5g^_5 z&BAUG=FBH~ea-JM_ru)Rn%({9T9a^R0hA%GaeA>|g0j_XU7K`q`)cN|)P*$af;%@Y zV}9e#9g0lr8KjqA8FZ6r!}(53WG>}(4s(oL)6uq{l?2dhcbL=RUvyrVHdyNk>`y0e zdX}}60F`s?Z}8@GEzgpp?c8O*2%6m>CmJ{Hoh+C|8J)>Ib%tSgemI4Dd*L}ic>Yd! znq%SNGi|o+F#jSwqvfgnRY6m8bwWHRTT*_E|fwXcBr zNUVLeeW$+-Yuna;b_ee!SJT$V?&J0ab`8sG_o87s7Iy{Us)y;e zF7Dd^tlpF)tp>y#5F?g!XX=YhdZky&F^O zd)B$-&rLt}nJ}MFADO7(?YU zh9d9Nx3=`(X#i5;Gudgu~#OrA=WrLlc z`^;W_r%f)4u5a+%gSy$}71lRKb~>w7*_-tvWlv>|_u={%P~I{rZz^Z{qM6ECv|Oq$ zXkz~odr#bNm2^P!JW6{d(uQ0IdDQCAxNILcgv?&kD~c= z6VFd>2VwG0?6rHed6dH*jCHj(?>(2}+l8It%??mh<)w$;?2ccGSkrR`7*aM*{f@%W zNEqDrae2lPe3~${DIfaAZD&x;{l!i?@0vyE`)Oy>xqtfT9ywmPTep*!_2eB%P|tN@ zH@$ep)9LJ(&cs#yo&KD&+ncj@(Z;#&E3&sQ+%8YgOx-mY_QutR;!XM>`kz~f(|MiE zdHcNg!p3ip=N-}nGn~D2eb`Hv$X+_R8xC^h)=+40YxeM-Nh^Ey2KoGS!?lTU%x-UH z@8Y>JdF_2Cif5`}!oeINjXj3#*<)BSEZ)2|BHq-=f5xMk_& zD(veH^P9fGsy~eb#i=0A`XzJpFZ#`Kzq=iWaTj$Tb(ej&_pR`LWU7#QD`oKx-nrdO zKkxw0RY~9KV(!T|%(5mE4<2ypn=s*#_|)5&Pzdu-%p=H~Waifo;%+nU&xiRInZBK; zZy;r{eLv$7{Hw-Xg8Lr0$89oxWfg%muDuW3jemC;Q+E&k*BDa?k}u%f7r4n;Li#U- ze}ns@`F$MjHsF2*b|Cq3!gDFtT!Fi5@t?9-0WxOd2Gq^N4fn1dO&D&+d>gm}e+W}} z8}9I{_Ehvl{E-{Nn~Z(Vc78jCFz{K9ipRjo*fFNgAPiYIktXYL-;Lk-{%Lp+zw@0b zeV?>>FmAf@8}^Mya4)pJZ&^p$={u*@{9aAE=)0?xA>5D#jf5|&Ct<4P9;8jR;(b3x z(j|+u&^M7X$Paycu9>u`BQ5kD#~kt{xq#~~A>5=xm~?0+4fGvCeJfDknAG>6YKeCq z@vXlR_m5%^8bJo}swLi8qquGu{t(Ve;vE9X#50@<7xEkKGP1aa_}ATpzM1PN2lWHc zL%5Fg%R(n}ef4{|f0Jwf$Zvnb%^%>`aQ{C1G=BdMH^0aJDKzFr+?%(E3lpF`+&AMs z3-@)nuU9zUz>eQ^QeMtqxCZ;?U0nAh_jnsWxi%Tpf@V;$7kk`SKaamJ5uX?FZy$Eg z;O9<$Z@^#fQvvGg@e^ddj2YxTi(jA-3|zSz%{}T#mptyBN1XLtpGwjpgLKFueVVb;H;R%;hdR=sk+38a zhb+=CgSdx?cQu?$nCggk2>WWe*@M5ht0k@(`i=PJe8_L0SxlTm#4!itfokHMA)xCB zQy72hiF-2c!pb|+st)84?rOqcM_jVFPYB(J&Y?{@7n~0+2CKj?z^&kJ@F@5l*acnz zjo@z}a1ZY@fdSxXFdobR=Yb{QYET942HU{%;5G0b_$&AaNTOfrqrM4@12aG#xDZ?k zZU&pcR`48X08QWkh`TqzbO(dLF<=770eRp;unJrc?f_fCGvIa51pW>J_Yr<@1Q-QQ z0@J}cU@=$@)`0b36L<(b1)c}5fVaSB;A>#+rws>PL2qyb7zxIKY%mR+4Hkkj@H4Ou zRD%b>GvH6)E$}h;26WiM_YuKJFagX23&6$TDsUsX6Kn-fgFk_H!G7>9=V5%?AaA0%DDAdm^Nz;rMlECOM$0;~nU0{4Jz;P>DK@EUj* z><3?g;6vmy=mGkH;ou}N70d;NpbV@6*MlnXFn9{Q1l|IlgKt56E&H)SUoaA!1WpHM zgA2e)uom0_9s*B*=fT_HV{j0(dzi3*K_C-kfiu84paiT0Ye5yb2Rsg*2XBFW;42W^ z%JUa+1Q-cU0H=d_U;!utKLcyQE#NNj7od8 zz)4^#m;)Ar2>2Pe2~>mo!FKQ*cmwPM2SLYe)Gu%pI2lX>bHQS;46Fu~;0|y<*bbfp ze+D0c10dm1p812}-~=!U%md57RiFyo2Oa@WftNue_!N8%;vXYUpcm*5jsYhFjcnN+ zXjoA)1lc~7GsaG>0{DOU(?U@Hz7u@1I-a; zkQr=_G(*f#GmLI@xEWzano;IxzMX%J8EwXxOmnO`&K%FW%n9a1a}vXt@#bW6ipeq) z=sqW!Y%|GBHmC8-WvV&d{KQN%)6EQX2H)a8)6C@QaIQJa%rKs<%#CKfxyjsYHn7+2 z7V|4}tJ!F7Gq;;NOtty7*<|iCo6TM3ZgUUAw|mWf=66>9*labAm~G}! z^O*UK*=`;;Pnh4D9p*{8u-}_H^OSkoJY#m6KbU9Db7q%$-u#i((B0-my6-=kdh@b* z#k^`7%xmU#^M=`D{%qc4z_8c6ZQe2Onnv@U`HOkqG?@>~hvp-*&wOk?F`t_K=C9^6 z^SNm@e=}d0zncT*OY@ca+8i|Bm~YKLIG^C3<~#E}+3&DzD2{1GypzB~h(spz9h{C% z65nv>>~wLGovuzdr@NEl^l*AQy_{5sRa~c!lkW6&3d8wJ3nQaP6_k{iNi)vNFDO`8 zx-?Q&8Z#{`yQt9qQc$=ge`$d=loT($z{;hi1yLvA{79s*Y^nXBY*~r>!@`on{Iasb zaA{dYzbq^%Ew}cFDKV=vT~!)h;d5G6m>($&mzADhxX`_}ps=JcQs@h#wTK4OGq!}( zGe-mKnWEwKOuisni?(-*Mq_bdB>$qqvi!v)nj6iF@=KPv5#g5w`Q?Qzx5Z*%>5?Ud zOWi=brdX=BmU%%W3F7&(t^U}O1bFIC53MKM~#sc z;b<7$tNnrY0$l9#!LwOHj=CiPPduBY`Aed{cox27!%<;Ld13y-NO5WO)`ewdrDZl$ zi%Lo_UbeJ2Qf|#fh4}?uM0__^7R4gw8ruA*T#Ndk-+l3t(I2gtIqF{5#yocoKF?+L zc_yRZvzR&N*|H^G5=1RZ!@h{ybcx+9YWCgGTD9bpwea6HTvoWG*sCQZZ+O{~urG)g zF3Ts1i%M;J%IN#Gtgw7pNyMM2z5*;cHQQb&L+dhF9?6dsmq&^hS{IT0#Zgs+OMebW zikDCi%JP>)9TZ2r+D>?>CFLz;0TZVIS!bSMVW}3AZ6ADa|ji3A3o! z^LZ&}3b~FXTt}s0uds{VUnF9`%$3hAjR^@;81WgGd6$$e^R9q>4NW;!-SttTXhlIZ z3^Eok4abaaYd*K|)qK|!tNAS^U#h#7w&qJmYkO3CB`Io(=5y2>D>GQMsk(Yxa8`E)IK#4tb&U)hhYs)v;JjX|Yl@SQZVvb>{chU*ou{rA);P z3-e1#7UVBY!t2{x1`gJ2 zL*kiYf$@wsJf6V@$uqQs$}`)5d4nnLOcQwckpe%o8Yp0HX)Rnsw6SP0w6qnjo!3;j z(rZH{Z8W0Ntr9VV?RuhSuiuH9Y`u&cqoo|Pmm1O95wnPn4Pq9yd5M`@5(leRjf>27 zT!8d9GZ=r+%3!A)h{na$Em4tCd7@fsUA9C;Kl)-4Gg`;GF6ynTTfCLA#UGh`{=|$? zfBYi>0ugJg&^8sKw}~2C?qqFZxna$|+qJY-@~>qGfXO!ku%?zkx9

    *_KYL+}_{n zRz=I-_w&2gx=8q26PbODiEH%Q5@bua?-{&aKc=IdzU}j)U4FF3|6zw8?eC-Az3uIz zoqe>g7ptp}HIA)2dir%W3$~k&_Uo;?_13*Q4PmQVin*nhx`t>iZ85YYrEBNaQb}7i zqtY!9QG?C2s4<%Nm|OSdF$-JQVrE-th#pq0>KbN$1;hA*3WlAp7supQF-AGc#jfYzd(Wa@zCf0AaSozY_ z*K6~8thB_muh0I0ov+K*Z>T5qu88&4GWn~Q%)aX78ola;jP=x3 z+m5NWHcS^CFR$6+&vhZYPFq*heqA}+wY%l#XySOaEZ2GLF7t^?KqDcH%ON&_ZVv%Oj z@`Z)&Jb!X=38NTeeiJ{dF!G~6X9Z3xj7(g{s@Kv;PFX2K>T>f&d~RXclH#STXhp5e zZ{ntwTSIBtWEQ&!YmWLamVYXOXD%x&Tai;(wy3m>rMHE|f*~I_pYTK9r_yfwY;%iP zIV-@@q{R`ESu1E0mgLg3OeiM;g;M60xT#FGi&;y!q;S?Wru|d6#5_cZvI`e1TfDfi zEE*Ey`Vq+|al%tsc$i~0>t54K3up+ZxCu0ev%r*sUeZlkZf?VO!dg}ST>RQLoqG#EEfK>lwdxOn^wr6`Um!-oNRYZ zu{3nwr^Q8t?|t<1B?X7Z&- z=`FJj3|1!Kpm1VQewjJemJmgHj#=f#U}m8gpXUf0MN>bWx@^%R)~z`6H(`z@ zud*{kl@c@_^sR+wEMpWNnV4hDAfGLjfc&}3%`5AWaF#?cw*ItDuZr^c3dJEBk0|Tje*Le)vghdp*PkDA_y6_pZNpXh{Evk9A}>8E zF80_gwA|K%e_;+k<@ukp)8mQ%!hPGHl~4MM+E4X`$Mzw3!#-{tYo?r1zDm34WA z%Qd)v>drUs40%8Q;Qya}=UHW0e)RvL`w7n-oG z++?}gviXzePt<*qHK$q*S8fx#maWUuW%iS+2Ld$MQbQ&6cD0 ziSogy{fl1wk}ZcU54D_Od939rmgic|vmCZuVY$+BwdGpNb(ZTbH(GACY;3wGTMk(s zYI&^XDVFD2F0vf4Tw!^w<}e8c0_*1nB%llYPMd$V48#&AHZ`YR&uXb-6Y?d6q-=_YBL?`_|a&_t^XFwcKdA$?|^72P`Mr>!SWd zx$$`~d{OhLQzpz_kY8|KVRR`wt2|PWm1Pd+uB{vSaX5E+CdlTkMWy)jzkmPlra&^I z|70`z@Qy|dN3n`f{0zD9L7CWO7-^?DLyqV=xV z^b}9)U9mSo4)%I)s-TCb^`6%oy%^hJulK9Q^Zu8#-m4oAO3*H&m!nJI`@mYX-nsfa z*oYQ$456t-i+>I3@A<7C?B%20%3K=$IxLHab}0zUlb&dCk0Qc@77qh!(c&>+Bielz`Fz5F);q?lf$D|09_++k z{CBViE&iv~;&vApvmblCQ{1J5bVlo4+RjTof5eleXC$~>gbty_ypLfr(RvrUXPCAE zExr)sqQ!^G$XB$uTRHU;ElvZKXz@v)2Ces_Hvp9raX3O9!(MzTXh4f6Tuk4D77trN zxjln4fv1BMwBCJQ4^$rX{_n4V%7eHW48o1L_obviTJHuYUQYU>^{(*ypa3mC{R-M` zwD=mZ7OnTG_g+o z1JlsrmDkb^p!E*-#~?(!^e*$*>quMd#b5mbcW80yjifDFybEkb>;2}>)_ZxXca#?a zwZq~{unjljgbl{*MvMD^MznYsXh!Ru@NK|t_uy>ih0=Q8`ZBAxQV)q7Ow+4(c(>@0j=*3oOCB)MvJ>_CSTCv zK_GD!?@hv)AcWSp2Q~nWF~k?%MH`O2_y&-T*7pS_-EG4RKY5QAW_@cQ{a(s0ZuFl0 zWney9yakk?#bfUyE@<&|upX^%7ev5jw0QLWT!R)*0lVY|{uO9Mi=P1d(c&YvP=0cG ze-l0tq@%^BgG{tI%i?bi3tfR$efEu*Exp3$qFOK@g zK*GbcIoRu)4u1qY(c*8x9<;cAE8*0&@LxdUSqUx=e1vk0)^{Cpf!bkxGa-JP=fB?B zfA4YfMfDe6@C0=M_j<2==x?d}x)$DNwcd+gumgW^ulK}1usZZRV}1(czutMj+G_Fd zz+C(h?*U=7-k(1XsGf?8z-sKpH-Rd&zB>?C=lL0etF5kuzqDGM_7wSud+``hht|9I zzXlEHM!3_{ow5vSK%>F~KW%mLvy5$k+s-^k zJp$7D20`~-q!;e>&i?s8*M{NG!6E5CGJbf0JerOBm&i|`bQ6CE(y2;) z^Fc2668~Lhw7C5q@(!(U4ZQd!^$V?U7AysB9N{OyM(o8WzeB#D#krskod?%|dbD`u zdt8ea-vADwtKoM+(j4;fFT@d~p!MB^uJ3#H`rd@T-=K68Kh)%vXMN{k8&Lb8Z#nD+ z(pmc$(*fz`kLm9|A)WD4d>j~x7ViV&(Bg~!O1VUf7k);WM2lbjoH(GxpMu?J@iWbY z2`zpZB+sSn!Et{hFVW(5U?^JrDj0_rXCI({M~jQVaOEtEqvv-xICkb@RCfdaJnTd)$XC;#^V zrC}|6ljE4R*k|$Wut(xJ*A-m{kLMdlDu?3pK`r*;H{v|Lj~2hu zfpcup;$TO|j60jK!K1)5w0IMkix$@;arP)${1jM^7N6LOvv$#0@EouWE&ir6=S!o- z--9MJAH*_80FCj)gS$HB0QTY$AmyjjJ9ud~#|%P;;p;#)TKqc5L5n|2aZDI3PV7PW z(BiIOJ30jK?CF?Y=z4flFXE0C-<3wX&F8&;n3tAKCOR2j2(r=Q)IP)=Exs?^G0V~7 zXTe6a_+79CEiUg%e9_`Nf$VGHIzA+%akcpJkmI)h74X=Bj@!0p9O0O$K=~;C#URdI zY=vw%3Faj<9Js67??;lLwp~aUEA$`!|J3%E{JZ7k4s?p*SP>T-3 zR}LerXz|daI1?Ey-Z7kVf)>9!lJJ~MeBmCW2oE|0pLMhsm*fn`ya*JRdU)C~oLP$& zUk66uUVH<{LRZ7jfgH5BZnR?x(Biwskml%GxDl*Di+3DP`9X{S0P4~8aKc#Jp~cN$ zA6onkVDp_ZCpabpB%{UOpGX-)i_=ab4CoMiEyzQQKLio9`26vtAzHj1)S|`rf;x09 z-05V(gBG6$n$Y4xa0o5l1CsL?`@tEf5C*h(JQ#}>&j3@<;w4}%T6`ZUL5u6aO0>8M ztVN3_oJzSti)Vtp=sfr`upcdcbRv0*7T1B4eEfmOW|NP!^I7l{R);2G4+h~zoHdR5 zf)?)t^U?M2=b!{F{t8r}#jB>1UTAUQ46Z?o%fKGAcstmK7JqRD`L!Uy8B5uE{_3$~!e&&;Mgp~bI&;6ln6JZcVU zf)*#ul;Ial<;wG+O)_IDl@3AHK7-0s(;8(RE1Scw)7-9&iM8Sq%J5iOn!YS7~OcT$$n;`_l~ zwD?ufj27qKMf{6cbAZ>~Lw=yE;l4GF38BT0gRyAw(k+AyEq)Rdp~aaG&<>-s;CI0q zw0QV~lrglpTP@*1i;n{hXz^K~37rRLJWf8M#jk?oV(J=v%@dxkgxCJo%il`)_1_Vm z$+&?V>%2ZxeD_m?pKCLoX6ykn(c(uzHd@^K8QO5PI0HoF9)1a|M%TkbcR8j?_V5MI zlh^1l{5Ysbi{A$O(BhB&NEp!KnJ>^TozFL);IlynS{w#hXmRpx!jBe@1r=y<7_65Y zcqQ137Mpt7LA1CK>_&@Af$JW=0qn(I`~+x1i~j)*qQ!YHtKO34@URBri58CnaI{8<>x-hMxx&Xz|~`8nk%hYXB`?_&VW4i~H;$to=Z;@YU@rJ#WH?(-y+k^ovehutKi$4W>(c<5}LwL~Q zKY^4be1i*q3yeiK!g24?#-hb5KrUL`*hm=U1}=M#ejhEa0GrX`O&@Y!bS>Njn$hCU z9}#!7c;3g9gQesJyzUdqDq1}FQ_3n@{4mHvi{Amu(T#BW-${RT2%hv6_eJ~9sn_}S zr+iC%u@}z<&1mtd|DZgTvSton2xMOY9~tC)QtUI}hxs1-2y`91AUR;N(P22H7iUkR z{b$hYEcz|>xr(?E_W=9R;$y%ewEz5foeO_`h%>yx zd}9p01r(sG;csM5JK#UxU1!1f8_e0)xDo#iRHMZ`j|`Y?=nxz|=UsgEP{M<~cq!PA z4#OWEMR?H7@JS;%qx(X_248Y?z)VB?&rJ89r>=9>XJrP=dfbT1!7j9TKiGqAh7*qu zn0;vfS?D?={iE!F36;^Fz-f~LW(qn4Uon}p5Q%REJZTE&IZq?s;oDCSn7O#AhCBYm zOOvc=0rS-v_@ng6X*nm|f7ZGG9CV$Be%zUyd5J&b5wkc494)>QG@!+epb0JhC^ujZ zpqt_7`RC#ZAi11zCY%cfq5bEY>%8-$IHP#qx#c>~d>Pn-8}YSZKU!P~4xz<=n8z7D5!!z^dN#TEF)$8$@mnAl zo%hp#c?M_>UJoBL-_u#*b2yWCCT`%n&-LtU;SuL~dEq~|T<4jmDYxhx z_*S5}SHtZW5H_^`{BoUZem|(ey?7Vcfv$&7TIk)^e`dMPGQSHn;YR!{I4JjU^t^I$ zVLA1D8T||VB*;LE{{XVl{xipQ7Wr!z6JPAbh08f-7VSSnTxX8&2DR9W8^JELcq2O!~$21#mZzf%c!(tuwpdzM3@0Ui<|pLHp0( z*4f;PuBFUjFJ1|1(EjtZbj@9`;e)-AH`VW_`e%e=}h~*TY|Ipe>Sp zRluBh3vDAh3x2$od!YSiRr}Ae)_KIGuVqaf_-TJdC@vY z`tqkphf7$yfbRoYX#d&IIup9+S%AIxCQya;pY5zOpS!l!@w zRoV*d^Wf;2&i-?pb)NINZ;%(4GUkVMKJyf`|D0x>*ZlQf`bX^jXEEzc=DXh^Y}kwM z0d?qFxc|G}dB7p~DWJOVKaW}GGS`A8xrZy?Q$69n@b9b^>pW%I`_EPOpSi5FmqQ-} z%-EHbXZTn!4K3aR=A-@RB>T@$)>+C!KcTq8PZ~mG*Lf67)A0!-T|5?a7Be@YA#9sV0 zNWPph@C{|{AEZ0F5uWl-`WLkSY-62yy#9O2F!tgHOq^MXu7zI;#F@3|dN_fziZ`SE z=M?Mw;u-DY%x>((3&4JK7(R(_uOCAD&mPv9#3_8wf9Ms=<>3&Rf))?wyX|w){-vwZ#M{ObJQBl^UdHMkMa05xdwSztRl4F3}BLRZ3#K<_{# z`x1wrG5>-e=oe=S(6#VifyQ9X@Sy&jcZwE&1=i!{AY2@ZGaJz*aOwcUfX;@`1G-lp ze2di^;d-mZA6UH)P9EsF7Z0|2D7*$}TqoXc?ZvyT7WX*93tK9Dr`4O`af3MPk?@G~ zfWj}n#_EmmM}s-H7B~CgK}Qk>#SzZ4x&V&n450nE(HRc+ABCG$tjWON0r_b-?{_Fr ze8uCe7SFIc2QId{1YT*i_+u~>KbztHobM?=v*G)I!lN@kACt!adbknHm3z2i6#0d& zglj+%x)y#Il%VV2r$88e2<~&V=TACZ40Nv&_)2TP20o3$hLrD9;Ol|zTM2KqdK>(q z)%)Q7$9VpP;0wVv?iGQb1M+7V`~}dx4#0Cqd-mc1V>rhe_k-YtncNFq053k4x{oe` zHvwI{8U7k5O%B2xj`PBn1oyK#1dj!BFV?wv(&E=aHGVe3=6KQ(oeW<&p8Q3xfnPtF zZ~ZRPx-@4KpWzf1Ua8nbpCZI5Qb24X41PXHs5qp9%jKxbES}xp9miaRa{tR0kX37ti7hRovIZ zb7y<@)o>$NLwK6u-g9U((II#;s6yw!8$dO>3LZR{@`@e`PY1eh4%`fOU@z`B&kJV= zUd=hgd$AXP3i5Ct{3&q+yRol<^XJpPUrDmnJ@;ohWzks@mnF{rW z{NE1$1E_2S7ss(S9cSveHUxhK4xtaiHx_$tHo|`fSy!{q3SND_m*(QJOQ`$Ui%%-` z!Z{8;o! zSVK6u*C6=k_Y!yfSq-m#mVQMV)_KEI(Ef9Wbslli3#32Sig$oUw0QJxFRwG<-vXsc zJ-qBi(i(sKXZq@_-+6zckHlV_^D=&-#lsrBaxwyb_ASa7_PgNadujL3;*__!*ENib z;4eWo`XD^^9r6?{z6qqFtKdQJdSMfP1yr_8BkeX&*(ieV0o!n210VSw`Gx&ZcqiC` zz4*2FNptibctw*Jo|W*2ACiXG(!Rm*A9;Qz!ViEwxUYrB?<4+P` zKVtPZ_-oLFpQc^VoCL<==Q#LG&e2sJ&xJRD5cUo5*FgRs61VrXcq&jFbK&(?i$4c$ z8{2{3fwXw2)#7uk&V$2Ni?0Xsxo;)hxubV&GQ7y@&G7r64mVBk0M5A`@e9%lE(T55 zm%uN8MC^CNw{!}cTI@H%J3tLu{BY->*^b@@7jtH>>UatKDo`FZzymojtqM1T;PF6l z$%0n_rQvEgrEAcv#*Mht>M*5C z&G2Y$sxJx>5z&;ty0ZJ?JAHX5(cflL_qNmed!A}B}lREe> zRyV=zIL}vMPK1YBJpx_@g1@9MfUoHvG=tD<;pqdtFz3LZfU(#&!y}FenrY|?c=X_) zDMDw$l|c6uzX^1&z3^>Ek`}mWfS(=W>0R(qL%q0+fago&UVOXN)$n^jem2234nO?__PKD6;gmOYDqIWHR*Nqi;l-r_eg`z*COk4|ehuW$X86xm?}a;! z^6Zo0NmfsROM$`}hCcy&@n=8WE+c66p%dXFkD-iSPx}u)0@T)RgBOnW%2EM*FMS0Uyda%gn!KmLDOe^(3Ie3IvhHg`cK&qJ6XgF`yl*hpmg2~4?ERs zTSmZ_PYjwhxT%0|&JMb5W)*zdX+e`EdpKii&{U(vHK%)RV>?p_rY;L^>h$kKA$>; zy*T+CFU`dx&m~Q;&w$U%Cy&s1@J|<#o;MIj__{^Z0rXnwjflpn^nX0(YhF=8km8sT2mlpk~mUI7}=YsDaI zJ^2dX_FnpK+;4-+@AJy`M)=M9XvH3*MkS0F_n$ z8M``r_W&4lGvy!7d6Tk^-U$ca;yhV&GJM}&uP^YQud8!+$GtCaEJx?UcLUY& z(7UuzK=;jouduoTe#q)tc*=WTyDc937cbwl;1fTfZQOwW@G&3ZCpr`Ev5)qjd!@oR ze?qxJSHYqE^hap%@qeXVLXU;F1Jzmax1a|5L-2^tC~s*0`MEkrx8`qzhkJ>4feLgz zT<`^T1TDVlOUf;}3LfNpJ}JX1EXM{VF|m?(Yde;U5QY0II*$ zaR1bJx6jRhF9)GpsDtpsU?^JWW`7UVwj`&;n>RoP_7#2N&HW)S{r%_b`p@3g*}NAW z8E*=3FTQOkX@V9%25QiC@N&-C-7Y_U=k5B>(AD|6>qn7ZxDh{`LEim}y+Ck17>X8m zI)<}=(aG>BR%gLCfNbom;Ww;qgpV3c{$ig8F93%1%nJA_kch5^?*>_vpE`J8X1qDb z`db$K+Ogc1@k2Abl<#a~-3 z)>-xPUp&le@ocNbI!|71#Mf9Y-ek3Sht=X&f$k;##M+DFII~^$;=VwBijT8eoMW}P z*y=ER71+&qK)ewgM2nvU@<*&Q;ibhoAAJ{fM7$Wd;fHUxTIXZG2$Xj^^SasE^HR$H z{{8&9XaKLn0KcL4@e zVD1Zl0KX3Mz~4a~r~+9a;Y6NeoDgUJ2Hpp+fv3O&;1+NtIPRo4b2JzLx`TM|H?Dgd zJP#fP>&C^I>%e886y$?hU=lbU3TZOFWk;t#x~@(f8$PBzN92%5A_*8Br%9fs3zOab%L(4}lDPCAsT3)&+ zGLkcOPRuV~GU}pZhJ^T5dGVsc^2luOb>+y^br( z3pssE~b*RJmA&c@k`*KL==$Jp_j{fnxj61qjn8qC)iyW7aJ35+f7}{pW z;mlc#iT_V~=L$3{k_F*5Hv)-7B9Vv@NF)-8L?V$$Boc|N;!#yVJ&;Hw5{X12k;u*e zzjrn!cE!ZViJ3P25Y<%Xck(n%1P8u}c4^mkYj@n$@@Zd;vb8$5^E$r^x~$8)x+C4v zZQapb-Gec=cJKCnANFyd_IY3Sbx-=G-}VXW)unos> z4G%`-+RSA>3t7xkma~%8jIf1m>|hsrFhJMlF86uJW1jMym%QeLFMQ(%zxadky0&nI zFG3NEROF%*wIE^fTJ9t_{LM|bqcaE!-v%*S%9M=~zsHXh?OJ{ZkwPwwPT;S^8l zluzYUPY@^mfqBMX_iMQ5O`Y%kM_t?{9X?EP4)Vo!YqxIewSF74VH>q^o3vS*w?$jF zRa>`BOQ7T4p6&GqCGGC#YF}!G-On}CZ(WP7>?)|+KwklcS7^LL<8o|8G9vpJuOxty!Ho|~D>VqWHT-f-`RPmbTCcp_BL zg|2j?J3Z+6t>8mn3`Mq}nA0xPI&ITFd002XniAI?RZ3sGLG>~U?P*4%oL_FjS*%wyE)BmUh^q`e13z+7IBD20uqsgWTYS!X^0>z*~v+6 z@)CVh;0I zz#^8gj1{b64HIl-J3HCUUS@HJdpzI~Pk6=)Uh#$tzVe-){N^vWgd;o=h)5(N6NRWm zBZOGRE>3ZaS6HJndSfs~V={i~AD;x8{T(WtObZx1rfYgIn%f5FJ{XU|cMi5|aJ_)( zW4`7GgS&0%N?(RDmZ{8TDQijOA~$)+OFkIuZ7Wy#DpavbRjx`^E20*)sY6}r!O(A8 zyV}>Gj&-VYUFupBz35FJ`qB?Zg4@P5z6niiQj?p~)P|VFZ00bRdCZ64TpV@vAvSS| zPeKxtl;or&H6dgn8#%~D9*iBgsY`tt(wL?+rzNc^K_zae!izqrzpuRVkyUYk>Oe|; z9m9j9`l7=DA0GIKKu7{cGBEP{(Fu^Uf|VV#oZ#gKF)x_0K#c=#JdhKBoe1AK0Z9&h?{i{}qK%qCOcAshReUhcL1 z;`L_#_KT-3xO1^%;iCKQSajP@9p$&(d+&X!3wtOU6Ga5 z+nE6U_XlQ|oH~4!E&1#J>rvUAi1+{X=>9jZ<&fr#|rd>P^7-oqUiDGFq!6Dv1smX>TM>|?b!ehn5KSsS9JAW zly(E_D~w{MwN*%ZA;V;vj`uI|?(yd~nIcy#GzyA7qOYbx6yV<~=e}am;zi}i5@Uj~ zp|LkP@b2;Frgj(2yXQU>q%ksKtW3S}9{R0vV|!Hl|8-CaTPmGaQ~kEYpFiYxI{YDz zGgk>sb=nj}t%~-k!uRO9t}v6LHJcUYcP^xyJPIwKki(DA96$3o%M>=%S*oyRzG{id z1VH)PN@u=lRqrN`b2MP+aVtvYBV#n)qZMtl($zR{_>T4q6#*Kx9NvN!Y6neBbt;5_ zn~x{lw9SP8^uzTD(^7(L4=7DRgB zvlOrhRRw*{qveIx90r2t4DDI)%DUm5+ry8~d?&=7*nW5ad4E8lo}!V&bR`A>!{}C+ zmH&CM39~B(u?NWi?fx5}=g*gh5Mw}#uB_$1%P<9PN;GPle=4f$L36zlZL!6Efo%!n zuYHnm)6sxKVJH0TctHz)A3&-iQdKi5@_FEDwfky3PPhA2vo@yX z6tz&@fUG9V21E!2{sIbBMbt_BFJLtMgawamBq?G0OKZ~c%36UJUv$c3s*VIN*0_-> z_}C7GrTSUcTdUJevc5~VR3FbUi7|?&(8`?U%vYG|1Qo5svez~{)%&gu%#n*LE_C7xk+nYqE^WZdA#iU9UHXEF+P@C!m{RWE|RyiS5H==T{$)s{V$;7%cWSMv6cCjjkgLObAP(>Q_CpF2jyzWNErN_!Gbzg=z)6 zsajv;Db?**Onj%HC5yvoQ|+59quZyU*=k+2XnJa}xU0o$dbFqx2eyY%tP5LPvYc)o z(1mq8z2E?0&+2LRmSFtOFF>^O)bXyKc%82qe>?NMk!bWJ+u zdv@#z;EZ{8Pcat!{(=_WKIG>>gKgFAeG$;@xgy%Uu~(Xj=*Tfs(T8VJT4EC@+%OP> zrQ1zNtB$A{8))rqzZ8qS@hDcsb|Noux+1g^!2UEx zG7+0p)|_M_Dz1b)!*z_oTJ#JX1x6un0|Dk(wKYVcce~mytUG+g#(dOCEtAI_n|5_mB1;6kf)9n?Av50aNh3_%K;XtktpGt9W zE~*_Hf8g(=HAHbvH7w~d` z$2QR{b{#csR3x6kFF^-iFpCDM4mP{Xu>i5zJ!Zg5!kPr6t0FqS`R%rNm8WpMM^G<1c+7pj&ttfu8;R z9WWKeUdF~mFsfUE8I6`+sBPv8A!YCaWF-2W!_R;)5$S~yx&!I)BV8RdcxT0!R#3Nz z?GN6eb()vn#XGU-VdnCx4+NdSY9n&_ZNLa!B`oVGK3T-oD=?}B^QHSN7V5Cpte=$D zSV9J~_$6Kxr8kz@6L>XR=HY1;2smceZ$LvP{uLf#-m(2h*9UGkndTQ+uKoyu(=w$z zYXJffE{4-9bxUOt>9@hz>-&IV&M%U4gH!z@>ZDgE=O|iTu9CV-dR0zW!kHERaOM{9 z9jDK=OU-3BWcppvMZMWrYiiW*iY$T#P?s0~pkTLxO_)|jj`nk>X%&TfV;!dBog$WH zZoM%^wfp&pSc(O^F)n?o4g@ol2kgHDd!xCWnJ7~+<^iObYWJ&YRl9?k{7noIg;`m)ExfB|dX5Mjlb!Zbo5+{f-l@g&*5T+dJDTIOx$u$N}obNsbn76S<;LH&?4y z!eLGs#76~ZLBK&9>nj9+RX0;6IA5s}s-|WL5s@gbf1Fwsdt-Htz_Yx&21JuN&>Tu( za&Y54l{O09z7a6lKCtVg=HXVtU|=Y$K<=Oh(UM!Yk3|qmFAG$rTEj{zj|yq!NoOlY zN~zpT19posj)Fp!@Zd?KFg4*Z3SRMkkR++^>AJl}1yHTts<=K_6f>xjXz}d2!;HEY zo>SNV9d+xlcxl5iSj04v@dU586+{YJq(69A)Wdeml_&1Jcb-qKJa(@-?;a1^>S4zU zS_He5{^0G?3T`h~9v?sN-eBmKFT8zrg#sO{Gc@h%;7mo!dgPG|lRo^|^}3`qS(YPW zsxX@&aWXrI+i+>4Q5b1jk6;CcXV-%hgn8^nqiWm z?0P~L2ZHeoqzyy>>Zi<(d)a<3+a+sfGFHx$!*T}U4y@P-AOw7Y5YUk}e%Nbq9{@=K zkOL5eA*`;vU_CH0g_WPYSGqDvuy*9)28c8dP)^?`J z@@qs1<0i{mgh(I)*I0$1wDFUi#e-1jXp`k<-C4II7#h65C@@IUMxZhpGPf$xLk^`+ zs}h>#K-CK+t({;ouVZNawe^x%xXhA|dM~wU&DJK%U<8S_LY6@Y$?Z{xdW+WVXtJas zip7PD6ofXw0M-h$k35`V@(gPMKHmVrcPZv-362sC)LmN_yclH~k*Z~F#nX*)2SS72 zKoF(>hF3fT1)f1b+IV>2;!H)_cnr1)%de0kV}$!JzM%`0TV`8iR;NT`w&6OgSK7gh zkmc4R09DzNXEK?UQ@fO5Su+IetQ+ydge>W!Xa_ebp{%h6z(e-MIRp^xwDn)y3$Lp$ zK@O0Zu>kj8Jp-d_+YvgAW=!!}Cd%QoqiIcCt9DTG^l8Pa z0k_}NHeZ(RtvewtY&J5$qx3{Ut0VNlwgXYNQ%P-MN1119n%{Lyx_>>TdA3?9 zqWuLCZRJ**Nve9v2xgkqLCDVZvAw?3&BUDY^;T$HH4h_y_3Fy&$`}8%EeOGROvcZ! zs@03ISDsl2nb(KK3((04B?<_oZ&*v#=69tS{vv9YTeV zZD%?4J~rO%OZ}%Xs34q20f%mX=%;``16A}UmrJ_;GHed9H-QfH$=C7nvHKjp5ue6> zkFbaB45YSP-$Bce!)Hz z%tSC#&Cu&)SL>o}uKqztK8hZpQH`L!R$OmVZ7i)Gb%R3)e(;j`!0>o8`YMOUD;@&z zqB)SdS=L+iCJ#%MT^-W>)6fMmD*o^+Cv@eR`95}cp^q&__(OTNe5-tmJPXpi;@YBK zfNi{&5|(=@BU)>%*Jj#+y@5bgOYlTNq<&BY%&tD6A3}b<2Sbj|^;cLfnHyE{p#Zc*>3A?qXzla)nc9Zk`e=cWY%Om9%*ts{lZ0&+g};Tom9Gz}z^ zt)xzdOzF$xmtivFj`&6GCL2bD$uMME32K(Ypg6jrSv-i9f_@6yq@o|{)|>g8Se6Pa zEsOV3ihiVGySx!qcLz^|$C7jn@unaWZ{MbrrzojW?dNHxl>_|cH>4@$H(GrxvzNa- zt#=?b>PrQ?5W2jv2eTrmbd}fNSW?oa_N%-;FbVJ8mDf|()S>bI+=oWBW%;JnR(>6V zx&qw@`aSrO*pd0Agj8smLt!(m{6Y~a%j16sCnp(-ljezNpbM&F|>Tb_P!mE(Oh-vupU}XNQgcz#kMG2aVgd% z85^;~m;m}6}VV`P+RL8vr5X=tYN8`~Sjnd+<2-rL)F+5^Ugndvv8=5qTd+G}1Ki42-bRdAx4*jp z1I!u|x)Pc8#6l2#10#JAKsclo?8UVJpmpf5JB95#J_Op${4Z94R^KMeRTv~{4^n&v zN2)2IT?#lXYa-RfNM~{mSX$N?#8K9mjs#5<901@i0azFXGM|7tv1Q{^Fun4}jb^fS z%Nb}tlKltSv_k5Qo(*c=+X{g zGxUcPVKY<`Mnkf0Ed(iPbDBX9N*nBnoM(~%40A;p>thi2^O!>j)^1>7ij#5PjUFxR zvOo0PKLO9dmS?gPP+(!$8xfwZv(tPd40=j9=LvwD0~FUP<*-4dMqLZjR$E*Pt*g_4 z=Ux&PgbnU2O%@9`K%UX*bPxCM(%}-`Tl-$7`KcY%!nFfVC4|)6^XD)26QxnpHLuLyz z{p_F+7div%m>*3xVig2fjuY}jXkfhDS3b@bo~X0q7=w@!zOcrZI@{{HJ8iYkb+>hm z$HydLm=ZeG6Z6td{_+wVPH$47+j!W7Ob@epLGA;6;nGa-OCLz6j}B9PU5@N(S@an_ z(yQBp{}s>iu{5aGnIT`fzs9DpOtTV_s263lhq8N|b7=L8-ELO5jkL=SakdQfq>~64 zy@A=(CnmthI=!$_+?~k}LlE&6?Dnwc>d&OA4@9}yR$1GoE9En7UbflGK4p8uKgZ-} zZt{iGn8)SMO26;*b5MX7oXq63 zBJ=8t@U|AoX>05r*HtTR9@o#(*7WweHhb6+kL0P->l7`T%yP~bOoIvDak?}w5M(RJD;AL}P%Kc&gL zlXfoMUMn>1fTR>`lXSUX31#!QJCWroD_h)$Z=)bn%5atfW9bAd ze~l7CWmtW%>(Q2vJq0?gI6rYHtdsv%R9;pVyqZ5ODwmc)Mo=$N*v*g)zfyZEu+d|m z8W8`C-`fR@s8Voo{)?kDD`KCTB< zQ~}r;XDy)k1yH0G8Wv?An*sTRY;|Cz*fL}ME!w+7WpfmEOCfJDA`5tg0&G&DpY5b$ zi)@8$S5iyo6hv@N2E#u_ot7dA3=Tp2d{RGy;b5?cPN6;#7Q(=s;BDulQwQtxhsVs` zrRzRzhaMm{L@JAqRp~XER?}LatI;^sA#PdyC(K{K6_u(UMSumdc%D49kc!b5_wl*j zm#U-4iQgSyub;~OLpnB8AKNLfH-TsB_SkK-mC|k;T&>$zAf|QP6ujIMF3CVCY;I4% zP{cp{TCy>UL)2z;M!1-=hdiMAE3A^Shi%K~p>ODLtG zz<8)V_?D2;v7P|s&Yn;pBJ=`>*X;#p4XS_$Ur8+^XB{MS-vbW{(D7%w*MUErl?I$a z3SrAhVHvW2ffr}A5uzS==T@;4V6y)2+X0J~1;WqIA@g+t4%-hfdr=Lx5%9~fC2Byb zBSdLU!0Aa_?*P~W z)MTBQnArpsdI3S5K;ZsN`!d^uSp#M`1#HAX#bL=hjMGVD*Aw(bG9b}wx11+qe+y?_ zLV(eNWdH)8V>FRNO+cA3@ri^gPSynMJ|5Pn+wVw#zpo2C<}@jZ8T1<{S1t_DzHF9R znpx{O6YS$>DL%G^-w&V|yDqtwwst6O`}j`nM;dSScBFgmjv}05!cGzC}ves0qIzK zYK1yVZcn$VBNb)|?87dH&cQbDTbe|0ld3CGhYotHeoTQ7DmBMvx2IawK|U79!#GJ* zb(@+3-eo2!{Fg`^fP(BVOr5)To9;fr#>Kv<7P397%=sKzD z4-{a1ec|a=-h3Qg3Z=&$LYiE(I#-o^<+tYYUewcYW-1PY*iQBV5D1R;6|KrM*qvyF zp$5w45Ew#|uOd*aRmgoic+)tLfs5*>ccQ#H7i=+`zbJN*W(aXO2{1;G7QuMAHr<)l zzHd;=sr`Bsc2(H4SyR%F0K7{j-nCNju6)D7P|x>rP)I91w$h`K9#K5j^4I9ulirN^ z7k(GmaLDiCfLxTj3Y|L<&+wHm#5|4S+d*s^H><_4&;{>M!Z)E?6Z8209Mg3_J61G1 z7b?kdTIl7of&4yM@TdUkLv;4d4`I`Z=XX`RuV=N5-PO7)Jc9~rd&tG;pPOh7eiFR% z6Ol*$30Cq?m?os;q*ZN>pFQV{VEkcP^Rq+#uwujR8DI@Q@;2DUfByxc{GhWHMS!}( zUUoK9X^b@a4PcV6h4S}^Go#c#WML;}MO;5cy_=XBU_1P*%J~8^pkdTL=H6zn0>x%)ze`feD4ws@cz$K?YpuT)ct$h9i>QfUZV&KF zVeuu~gTBDXWrsY#Pl&KoH5avGEpIs$P%(CYGbNZJ|z@UT_;=KG}8kbMI+kdd*b zOfY)cWT;0t-Sa`s@Q2fCWyzKXKH)dnLV@)JMauTBlOakyOlQIK6{ILp?!Xy@^za~B z2dNXS-hz*eMn!HY@Hmw~PuCKwJPfq4SNsuhD*+3tbfqoiwejg+()>(-I2(cGYjUQN zT1P8#As>^>K%$3@w8gLDmx&~}2l!b@zEa)`s~jVMHQ0()D)?`(Vj!70WPQ7$0YsX& z`m;4#WPP*8HE*qYpTYu<$Cg9Hs;wrw62{HX=E7fwZ6z1F1wQsq2&QGVSRQznVrZTs zL~u6u6iOrHhUIu2B^4sCf&yS0Ua);3#X{xcDPO~95t=Zd#(RmEp9N}Um|$J2V1Rvy zB%zGqz+lLji=kjh_n!u2ZH>dE_T|@t_?7ZW4)iH_F&poU@|1OEscJt;B=qrPSZO$f zuWm$ASApuj7<>UDo1en$(^!;`2b5N@VHmo$@>Q9%Af@VuQOzF?RFF#tdyDwZm7s{) zurU_RVhq3&iCMrHKzu@>GflS%T)hxK=#dbGR+9h9T&Kgtzr?-~A44m1$u$*k5EPK$ z?+CZ*r|_iV1$!wBuqGNQjIIYD^N3CW#KC`#GW>U+CMXJwn+4!zv5gPdhos8Q#9O*~ z(9B!vUxKxDD<63Tx#7S%eh1WV$Xv_Dg7;8-X|Nz`m2m zTSeydLqcBy3xqW&>ATvKPve{zs8tq$TtN+B&!8}vbdF0^{XvQRNL<%F;N$r~(8FGL z8cgtYrvq{D9h*s=NyoZP(;y;1LVFFxm7+46>aDy^m}3BvF;Z`N1Yb_jHFtle>!i9oN-Z!icn2|5RGDM2h2Ib+q6Ycd09=9{fSw<8(!B5i zSUHl-h@8tBKus=V&yciH1PPn=vIK*8&`HOJ!d7B%iYjLX znw4Em(!+FQ(t}%cNDn`U6ex;T92bAugIy4-0A!fTYL(P?v=wP4^(udPc^bbM>kOwt z>L73RN1&5_B(9WCfFu_sL8AgA9-QT8e{|Y_YI~|XIH||LD(q1w$z2#*u>CT$y94i1 z*n~jXO4z`Y#?DPC5Xa}j|Cr?cJY$hw1py!lTh<$CbEXmTxLy{!taN{y*o>ca=F&Lf zz?{0BJW0XM$vF%|*gg|JiHrcUi%ClP(lnk;`&c+Lon*YN>}25#2(lYdpgp5P?cMG**$j~p<+J(6 zn0N@X;0PG6VWOr${?_L4NLxQ?q6ie{&w@cQ!gHvfo-^on(? z^h%Ct#1^<~=n))gdT%kpo^ecy#T>9N=;My%2nxb*dyjfy(Li{#q#6u*C{h;nZZC0~!8(Cy`}nl^QWeSD zv^J%x6-d)w7xV?b_fw+;j<<^j2Cwn6aSrfUVpvTlAf1w2b2m!3N+8$VjsUENWDQ|& zLF(q~v2DdhA{8iI-CaH@SRIYJQ!6ma5 zHa=flW;LnP_;Un~O@dD#wwTFQf9h`4Exq!fljJ;bd$2QNHV~9)!+_XHLh4gUA0I0vMPi?D+!C8qTNPLgq9~ox{TtMN)g14L`Ui8z`pvtu!j)rBt-Couq7)2 zLyKBtQFVTKjKgEG91#-77U*N)Yj&>QN+L-L`oVFe0fNO*ui552^#~lKkReBZjs9-r?Fn~EPr?+ zqT_Pe^fcC2xA&Qt4obz)(J15c25l3G_Wal-OG(1R`S~_}8M*^gLvU2WQ{gggH53Ua zxIotl^FW1^(t~IlCWPJwCbJRazx|MgYng*Tf`C7?09~SG4_lCrrIY_Mb{ODGYjI)s z)W5EFl4`@3nNBN!B zvsYifm%$i&Oo5#YhVB_LnsY9uO=z=wNJUBoQ^D!zqi9HX=WCEts^Wy0>uc$uLkLjH zLpeaewHlnT4+8%3Q#=c>pz&I72&Wxm#bzN;b`sN1q-iV7kRLAOANNR8%4eC=_#R40 ztruOuOw8~kq~V=>JA_64a*qm0AW!v3Gk`qQ4Mbi~11S{1X8u(Q1-J8GBR>vS{zqpG zxxnm>+ZkT|dpBZvcgbXv7w2-Y~e(Yu0VS#5K|i~>gu zI6?E!+hjM<=-FjA>9Ud2c_i!$@cYO12$Kmf00=VtDTWGwZ3F`9WgwTXIDZo2s%zis zVIC|vDhbttzbqtPC`qI@(BAVr65_V*_#KFoT@KPdsu>)~aD5UyDPcdwnIS0^j-LDp z_#N@Hn6QJ9SB-ZR&c};JNe_{-!d=+Qq0ji3H{V}AC)1~GPV=W8;?C}5kO_3d(Y?LZ z?W?CM<&aI&DrkX~aUFisK6VTCj}BisP6Sgs_&y|&vw0cqqUC`!6kbcJRcbT81=bH} zj(uf)2ekrlYu<>b%CDOBMpw`zJ@_+0gYfH?YcU8t4kwJ0L}8KVU++!Gdf22O>76wX z1)q_Ccj@ZVf_7d?c$80q^wnrAu|a%HcapKfMp8mznPPW>rZfKy@)dqp@Q;i221RSk zab3CcB^<(^BRGkj07vJaV5_6sO?n&lKOc+u8Pvg6FN^x%qoQcbt+b~-J`>xFBaCfyhQ$=y1DR@c=PcrlDGGj|X?uCA^&G1cN z_07EZKPkChZX9Pd`$D)TLz~n*Hw=C_Rf7_c(l{2QkX*39soRu?&Kdlb5P76ER;p$Q#_AVpDTbS)?bkhQ*zLPJ_jwEOz!_O8*XkGoIE093^ttZ1lK1LE2J83 zPk3yqZl6p5(65DLf?WnoOUbW`)@8zn2q<>)Vf$!!=$yhIb_1#8p%X>7SdNr zZH8Z92pSSN3Ob3Sd4lxT(P{!6dW#x-6`a_Ie^4I)YT4AMV#oR zK?=-lZkNZHRd?g~d~?%yfj=$0gnc8?h27{x0XhK+gdGJKLYC!6_M34L4gHD@!@}0? zwwagXk^(rx9>^E_+aOwZ#Ni*7>aNLG^i&ARXQ*c#kn>qn>=-t5F&AP)9g0>2sGUJ9 zh!Ng&Q^gt^*_!f$S&DXt6{nAl<89_R&SP!@6QH*LhDjqNgankK+s}9~)mT1#6_!E6 zoH$eB_wJ%O)b6sGrJ8X-Nnt59Rz**dULlz^!IM`yZPN^=YD~<$h)EkWy$+&iqqh}5 zj^8o-I&kGuvRN#5;Ff`xn_*7$;{3=P;RhgFSFGYGtRo0-nLtE)dL4`=-&CwRW>O_~ z%cn5RM0h`p5Nt6Ot2#vD7b5W+j6tXjwlyqK8n=~VkyW|*_89--OLqeuyU4zhw$;@hB~5r3-#sat&72|ZA-i$rJN29sI*RR*eese6bH zaSd}SDp!4^2JnKJ(uS0=MvALD1+zzGF2&0zGQ>#8#VcNWF8?EMhY?%a>oU|KwJ9}e zy#W$VlXXZ49*x7dwH_QUtv7sDzy?yfk@cs-_68qdf$!P4?yQOcjyeNSsy?c5_Esk$ zWME6_a##8_XQcz*M0wy_Coret{koE|4(eib^O%q_)*|r|aSbOQ=bM6sb<*k4P<|~Y zq{&3Y%};|Z7{}5I(Q+wh8CN}N@$Ij;)};Qk0wkBkdv#Ta;|>E3CHX+4(A8%*PBKt{ zL#}Hw?8Oi;|C1Nedlk1{D@p!dK6}4g4s4wHq&A zcw#=dqT%p%2hKVbW?6vpI7B}FCc)gRM88V+hekv7Y|z?>Q$@h3TG8=lFr_H2fI&7- zZ%P*$f!^TL8q36;3-LZ`4*oyJN3;m)J_EOIUe0a2A_~n!z&XRR}Zg5q&_Mo*yAV6`{j`Voy!d7dae9ZQIoKHRZsx)R;`PTstc2KT(Y z`A#gaF5XOsL%cuw{DZuC366EY#hY&viRaQl>Ho@}@jlG1-@=Rh ziq5-dbj|5GbPr-{m!VvcJSLc#(^I%8j~useu<;Ub6i>}!*e({^@XN)|5u>vdPvKR; zY5t-`xj}D_;yH=p!ZC#}A-V{a!0hyva%$h8$f;JXEmL~54p#a{qcxc7(3D)V*hjDg z6;@)K?+N9{e@8x+;tT|$0+~!4Y`Ywu+?&@BwDMzMOapZLC1c=M(##9r13_-WgPG#1 z6gDMSah+HqdkPl|{3qDB1|~}QgGu~^AEwoJE#9I};84w)?N5Sg6hjc+<=2?j|eUKk600N`V_ga^tu?2FM5J+iE~IJ_UP+Yb_Nt-vniOvqCOAxQJ`r$Y|Dfiy zd94uZ0xux24}un6ZIsCAVaPpvFpUKBu9r8&zQK4GDVf3k6|0&}kQJEs1??#z@5Ha> zJ}eK+Uv8ndS%oOnm1Q^^#B)TQo*7^?5TVdXxGqm?b`s2@ss0G;9j62GPNMjLLQKHSkp9Y=L;I(4Qcycap;ronQ$T>y{g3lGo+$ zk#|e>^x(ATPP%p`W$A0&0Y{UyaO}g*E$nhz`3VfE!ESBH1G|j~ev!~Oh|9__K}l6_ zP&qm0*$AXzsfsMmh^U}{3U=dG7c?L=&Cw(0A}msKlz3!xkM%6?zj6h}Dc^T6xab@j*z?+T>z6m@Trb>&(H7 zrVawVekSP7&?%sT86d#ZGl1bs*A3_tsng4mG9bvKEAmpuP@(?v*rk& z`>(M3qc|h^7Q25(B%Ws*5`L}Z4iACB&Y!@}oDffELE|CGYp`}F6f)@BxbE%$oQBPe z11p?ULE(oCM5cyqu~*Ui1pk6|>rZ^pM1gwiNKnc}{Q7R#CIdFHnS|KO2g7k>Ev<1( zOHzq_8goiwKoN?crNr9)@h>Q`ugyp(u`eO;?>0B*1>aN$i8S(r^Jiivt)8hG+cy@|shheuBUndiry^rk|2EyL_G+Z?>*E{(` znTBl8hkt=2lG2i<#vU@{S@v>eJ!X*p*5Cv~akVbV7Iwx_5wbJ_nkhaDYcV{!pHj5J z3P~c^OQ}3#LSRWR#q}ZumZrf5ehnS?HMbE{CZ~OMu)@MroO{46mC)}fj4yU6p?^>n znEFN{-Ay)rAx?Iw(Z*gc^wzWO3rW|`d_TKZ#^Dwnb;SZW3hc+tySt{pZVM0|RsESd z4hG3HTF1~OV@L{v5SWm|U=|R*m{323K?Ex2oA7xgc?1L}RaJpDU{AzpaBMk(a_uz% z_$$k>7AcwB37 zucf`*(wmK1q&0p~c--%cFG$9pjrR?Y+l2V7Mt%!Kt0{7=6?d;NQvJj7x^*9@msfx0 z52cE45=q_$#;aOXmt1I7f5LlV?@KKEE$9Qps`$n3+EIRpWugwQ9BqeM7SF8yY<+Lw zBB~ec#?F1}OZY{EC$?5}8o2GyqOI{^-MAtCY`njL8{v+4OFR|ojBESid~{c4jneZC z;T&s0i>p=oWwapTbsY!el718E(;PjRqP1B2bc!)ajXw^)i4M52_U&?EzG~x>v1=yq z?gzZx?M>Do?8YTlf5=5^C)FRqrT*9hKp6+pCR2qstmr5Ok5N3$>U2C))C{ld*pkU{ z3tC}I#Q*W6?;v>$AN8^J8 z)KvKtE_uQ)9e5apt>~;FjX*UkBeiD^8GE|mVQeBxnPOg%%U}>qTL-nPBv)YzI}%YC zp{v^=d7XM+YjKArVrWUOwFe+ILytx!yK zg=d1hq9`9@sZVfIq|uzOmnhgez?6{CrHKn07U8X1h{J-=3J@Y(w^Z(L3m%vi? zz4Lr4rdQ1KGo*(7-+BK3mY!GE{V&b)OlW%FJI_O5k`nVg4-D)7e4bfl85Rz{4Fgdf zx1YCw>nG1FV7zShv5HdUE4#Q7E`^uCE?=k=e4$QeN`7_A8Vg;ra)xDHu5FP+?)-{_ zxSQy9S48vWXe_nH>eCfBCB%2iBT!F|$e~ij7jnCWES78=f=IN~TMM}#U-CMq`N~A| zI5pP&snI}42EYjXhZ4>2Rwq*PAvu5jcJL?p)S>8+)Y`g8TM87vlororyX1;GY}j>j z?H0fdnESMgQR5@55Z;)FSJ z$Wl?4kM>vbe|x^@e$RR5%l9A57kPR7d-D~* zSWHdKmm(&NG!fsaLr@RCYu3=p56;@}&z-fi=j_Ozy&K0D|Sg)77h9wL62obt(0p^#4myMact3|a8xS_mye(Vn3gdEvq*&0V{L zj{}xuHx7$F6l~-F_#g5D!%Z)A627zWmt716e+9ZEJ^}=}k)PyS@s#R&{4kdR&Ow8Dc1#Abt8))$5jq&NFQ6OQ@9 zQ=nnpGE#mKpLZhF!54x^%(mmj`K@Fx#K+a>c2%L0ucm9uMh?aIVc<>aR$Sxg6EdN3 zwihvnxRh8MRYJFnB!NmHfhu9rOUP0%o*3V^po@pV1|Gk#owLv!3>ZXrxN^Y;Qq)tx zAR*EaF{!GffSg9oyoPZXB08jV@)#3mCNPTdx$vpSh#pdk?zRP?2mGLTN-+7~0FSJj zf7P`Ggve|3gq&Lo(E?c z5@)eh(g+M|CV=!ge<5>|>0boMaF2j`D?KLDV<3X{mo_0U?bLomUckb|Jz%sOD=?}#R5vOQQ?J5vggO+@%W)sMq9b3brhB@m zX^qi+5dsm@sW%hy%rSiLhXRh+XGS0;_7MU~=wZ5=T50ltXh5TJ4(j37GU2by-iKN=`JE z*&aOyD6ShDK&3ZZ`1S+mgPL4Q=se*%Mz!yus(}VES;f)1pel=zVvc=n5R)Tz(g>u) zju82Lo2qaci7uW?Ro7*AQ5A78SK~@t@N7-cRX17PtT0CFM6mH9*%q|93-8P|=w=w` zCVmkpNYQDl5#$G=^weOJFd{nYorkUrGs%Af8Ir--kk3b3&wrb?mKwB0JJvbd$-hcz z_u|a^Jd`E~;@rJ!EXuOR_#?0_XrC6=%0;hU3%SW4njm18x>IKYov0tkCJ-w$I_pOQ- zsP`1#rOqn8M;%?Ps?Or2YEJRbrD}Lbn409#>3GFpbEGg?hGPvzn9Sxed|8yH-d0g~ z4=#Gqjwsvcz7@Q`){~qRl1B@J59(qwGQ~n&1j)`+ zJYIU}&-9+6&XlihR4*yMS-r6MHmQotk;Uaw^{?^9u|NTqRg8?Z{7x+JI7GI+{6pNK zi3f}CSbb0No$Acud)3n7`_z%e3)S4>#cEb@P@UkuwkcRvusi-wemB-$+}9-M)0qI) z87;;5Mtta!46zouszJ?=HpVhw$~10|zlxhS_)L5SnvM6#mHk9}D?r3mWAWsU1T2ufX;S-iCk@l@}q2xT>``#^d$0?9U*24Q+oqvz_jeEHh9 za3px`+rd=1_Kdq`<<$pqO(Mm^R*dwFSfO}EoN13{2Iu(MVk`bHLAAa*DRVI)8WB41 zKr;BVxbt{HLNP(O3#F z3r_a4a%(|5p^Z;SrFVnuodl`kn-c>9Z1aYELNz6U>HsDYrWu52mYn*f>^ik_6HZMe zy<&wQ9yknz$?z;aREZE8ag)yp^s4Z*kG#^WnfRDqpiP_CW(tJoI#cBJ#BPa=JNT3E z)Q717pPTiz(N}+P2#T|bDb{Y(q$FxVi^rT1&*{L5P zV0c)G;%8Ib-wCUK5*ChS3Dg9D(ylkHoF&X}7_kO*vO*Jm;D<&GchQW=ZEZCs_nZ-X zPj-Ef7%`db_yPPUh;977-;fp!ZxE=^P@U-;x+|1~3Qgb9g>zOye*GSv@#oRs#WURC z8LynhGw>0!@8cQn@8KCb_6UP#Turi};2F;oUH^+b;~L^L{|3*{aElZ?!;huX#WQZg zr7iG`JRp$Z8Ed+D#-g)$#_s=+XY3^%ORkN$zs)ta6W3@#p5Q2gZL}oWhP^G{gR!%C zuWbxM^Ch-n2ivGiVT(tOI5A?eLOf$OBqUrhD+Ag44F&-Vs?}HIwgsU+F3UBkY4D+- zqsY(%M;yjHVhsT^98wePgjpNSjzq+7&I26!R;tyTy4~a2vGOkl!L4w3;E_hO;s%Zd{%B+8*jp3_GAmw6Kr83R2yJ6o`KeI$8@Y!DH>}FW>@^YCr(oQM}i0V&3D;+ zbWH@|78WhTmw%Ss)J@TTqqE+Bv#V(P zJYDTU%zyaR4-vDX$z*1b;YsK22!Pp*4=}|_mfP#t z1}R`<`MRUhV|DTLm(1`R-0ctf+_Lnl3H}$kjk4doi-RSG?Q@5xn-XkwvK#3TN^#oP z#Xq|4O+pSVr5zZu1-@1d-|_*}gzWqPAK;2;ZJk;q3nuLNg~1=;^3xrv6(7e~UNkgBWpHpG0<@|jw`i{^RAtseR*TWvLq8Mz=isWg6p~>B4iSe^v8TRm*7_ovA_=IPN^yb|~C!}n+^1zB4 z%=CvJrsigcfS9qx(32BZMYw}D%AhVNO!GBv3VLekE9swu6^$GZ;pNgKI>8}lBSPGd5P@%VF0ZAp+8_dp>E&>2o{;AT8u)xD z5=Q!phcC@lHeQT|=_eEfc!B1fYAh*QOdpg+qZP&3bQ2P0#)WiDj4OYkDGKR|!F_5te4oSSLz& zN@=`z*F<4{V7124x8jjrRXW6dWRS=ejU|QVI853lrG8dHs|AGPmprgG3Y*=8+}g<< za*eI2L=p3fqjSRk5o2BL#=6=CM|!NQ&H3HmTQ)4j1~tMcE5nMmtb-T9#{k^tUoob_ zIsZe7PkbVqK%Nk59O^Y7eennmkzOrv%nxP6FR3kY)MUgRa5BJ1AzPx+ z>rJ7-uxbV$f^)G0UhLG>}orB6mj+o@`g`(=8H(<_&gjX2v@3ZxBP986{V{GqP2V;hbr;0KYZ!WSKfg;v+yM& z!+}DEo9v3^*wZYsxhU?HwO)E0uH0m{!McafSCb-*1;ULyz1;%FlCIDOhv!0Uco71t?v+4s@oDP~-TINQmq=Uu6DeJYY)x)zQ$^zqwrPCoUixV_$~xb`aS){*LR zY%{X-<^V%xB||Gjb685~>nRi9%1%cz1NmKzLdpylRjkg(Jpyg@$jgF|dNa;f3j+N> z5>KzkVDYPrijXuig!t~m_lR6y#%r*P8crdhTg8cnn{cEP4RJRe#E)?^q5unD(vcH;L5en;^;B|b8kj*q^X>AuEfe7oJa^l7`CoVq^|mp}n>#92 zeUc(BpKj{9e0o&eGsWGzz$X6K=7eYYDUo%n)HO`y@1ht9OJT<67qre%Q){m21=&ytMoj){hJxWK=%DiU$(CK;a z((z;)iuyyV*5Y%5PkBPmbRf#diZ5n#pfR{EVuWS#kGm2m2kjV=Y=wn672EVz=p`e_ zhsrpls}D}E)|X9JT&Lkd_f7zv8$#U#zgTYZ)ciPJ+*R%hbf!QjXSoCFi(RQ;TLQ4i zUq{#3de2;k*hp8ysOJi4~=MCjQ?q?j#_& z2LEd1mMSCFD^h9cu&`JQ&;;k<(jit7trhWo7Wy)W_+}<%j*KkyPXlbRJ%UYkQzJS%j_R!xlW*vbv<4u zq*-GIqKI$TLE+I+<*dMH&6lQ*i6RwM9ux__C?7drirc>yP~%x&5QK2nUr`3q_A5@& z)|l1Q*8S^5TeG&H^1%}&(u~X~La`HLr5R5A?(;_(7Y_ylv zBCwkA&IxG-K+HguSx1oHhH8Vii@dU|$BZ&a6XlvI?`b3N8>GF9_*VROqTb~fARRcS zOr>UKd=89kX~1X}VPv}y;LF}aF%+MLCT(Nh!7!uT8KgHM-hp>L-W)?>xd?f*!1I-1 zmVTmK*&ftGlhoU?(|B`Q4GU3Wt}`D=o%kW!HkHz59YP4W*^c6O42^t%AN2wKn{fhZ zJ5ZW%2SS9ujnF)f@JWQn>>5FcLEd+xG&b_7PB-Rv%x{q_J&*&@mts#+?Eb@GW+$Y> zpTH-7&`g@B!8y02uXj%bc{rlV=h zQrTOmh5p$rZyK3{e{H;n-)lfZ9!-;&3hH7EVHyw1n->tuWrLR(<&a)B{01XT<@e+F zF{}Vcre4>(vQ}M&uR}=_Ta?PE4sNDI4~~YuU>jLa&rGU=@4wDyMyw2JQrUJ2QMxUP z|75*0H{GO;A)gO7{I!BpP!yvzUz!g31ZfzI00DzFfWHu{sGm=N$^VCqF|=5LwWQSv zGMH}p>QY+U1S0<0{IxQ}M>q~psY7VYBbDs;xCS?&NYLK1wfI_TNCf~8srs6tm=0nC zAE4Zt%PXU!Kp;LzY4+{Gr<`zp1AKc{j@?9z%BWAH{&*J#u`$Rw3tvAQd?&K~ePA_< z9R<4-x!wIi{)U0c{GH#Pm#9hkdkpG5cLca)53MXZ;Ql-<~7>5%wpjOwC@QsaeJ$q6`z} znK^VZ(Pe)SDQm6(mt>+wEHG><{=Wc9BdMY*317WumR)vKCf19Qy&73k)eu@TF1tfS zh8mS#Ln(vXzKD=i^%s=Eph9bo{R0QMv~tjQTHVB}Y!^ns70QS!%=i!#KYS!$A@5Vf z+fWYlGlK||$a*{8NgnnXz72!u-~fgV?<~7`_vB#){~9dP%d$QeU=^afa`Hcb3`X}kvW8KaK7;QOMQJna zhY-|L{QJJFYeb?^e*(f%)jzVttXX~vgko0#PLf``;O*%z;9b}SuMP;8 z3s_Y|?zBvOq6Bs6dW57ZI?%_e{H2JjL>Y{;$LYWmG6$aaGURwz*4}>j4+>9i!$6e^ zfE5XNok%xU@KJ=Ms+iGCZ=)IYa=^Yqz|MzU22V*0`sY-|mGw52e{crckEwW2e?gef zB9*!-WQ`{gQEx`7h5(XagRwl0U~mBSEn+af*d|OpNZxZc?ob*cuG#HyoO?C6HK*0f&JDhFIgyb1~ z8bSEwVw|%HXdlaE1PbDmf;OEk6~>F4lQ1HW-7LE|ZT2hT(>erXqfH1dC(%=Zj- zA=smTV$Bh<{gDo2XC+Fy>?sH(kiCTRlF0rU(@);0UNIjS_@`~itseXpUbqI7^;^7q zt}yD@9`4zKiRr-C9?rpEbUXF|We9kJp6tH>3}bz)L@0rUXb1lpbJn+@1BpzO;~%u3 zkza{MlJkGQvL8t(`*$jPM;AiL@-%a0h&*d^0EkYKD!kVF24y8wC`3Zv*j9Tsfc|+$^%Uu|yq|AOR!VU4VJq`7< zzClm6G}M=!2AYPnp@su9KESW7p?<~@^y35o??7MP#qT|I zdn@A6hOM)XH*76CDOQggrN#_%P_t8=ZjAnz_8}Pk2im}9DAqx-`(L8iX(6L8okYVt zc;RGV_toKTn-3j-!*UXZ8ajIj=nW@lWPL6Y^9gA!rK$HaHE{AZ<5vlBnF!nUJ;-IFGd5&EGK|md63ykhf9UQhO0~T*%uS zlJYi{T7*&wdHW_53EF$M7k{W*-Uh8LL4kzW{T=dl&&siDKv{|UG>~~+7{mr6M{vv} ze}X*Si9|!*-U(tpho2(fmzm6e{@eLPUF%SwAwJ9g6umq1jx@v$*heEw1l-!N3-Wfu zuCFd1ivD6Xd>NYnai?oP0bhvqPBMT^2uTlLAOv0eS4OfSZ(rUA10dw>5eP{&&tS2E zE4_s>NqHOl;Segtwg`E9kf>qE+e=Xze96|8B;@VesB%KyZlIQ{juKRt{RI&rhhejiak2*yWKOXCuo4LHg9?1J|z1Kzu$D#5$I8{VG` zcv3aF!frm;3Hfo5fZ@iV+J8m`&ypXYpH#*hObj9*I1ox?t_>A=pc zfEKchR;B8XfS+hFR*Bj@_zNbz8I@vp380|2njGkp_DK$-C|834FYR`ylgM^5k2|e9z!Gg6ESb>yZxRGEv0?K3l(Ahy2G_kX_c|NnS6IcN6SXJ6J{d+oK>UTba4hLQuR4f?$?Hy2GWl?<;+ zhW)U&>@d?C3;IHLW2f}zfp+pTDF{~B@Zww z*b}-n4Cl)BJUf*^STQFK7CQ<7Q6PnuIYoEE;=;k!@E7ucy1e34UJ#AU!*iJ!*IM<> zY-^sKsf%b3jT^Q5TMTW*?u)ehnj6}qzuc!?%Bd$5q5cZ-mUgh^{YrAfLrUk4GISHV z46&n~hO(W&Yq4>)b472}_&5~bQBPOwbX3%Gbdjj2HCipZpxTO0FM_Ffk^;2YBqw`T zZ~dlHkz6}s6q(Vpo%<$tt>Iy&kmzH+XCZ zojFcb(jRTiG*SDExZcV2KEGe)S_w#jvKoh+`9{vtPNm$r*6VWW68VO@uM?ft2&ev% zvph~8_R1;&QSJ{PM6K68?Q2ly+g(y*cg9&?iTD+LacbZYFP9csfgy=Y!{* zRlr?q$OBPVZTjRRQox!&f;A#wRZ5=2*N%uedC#q+qgumd&fDT~Ds}sipxk%O{VZ?Q zu2!64`vlPMatsEznuOQS2(%7lKc7Y zx$gz7L?0J9orj(BAox|l2f}=`Q^yu+x9;LAXZ_2m=@rK`1MjQZWyV+Iv{vOrN0qRt zMsA!|Zwz9_Mk)qKa{OaVBDGo-4J6LoE1pX4J+7hxVNK9s{l$>H*cQc$B(R;tvil%0 zL4{%(hFyuATCZaMm2M>XbUNy{p@Mf4kqNti(j~nMT=m!29C6~|mFGpgDjpsNh06K> z)09Ij0un!p7nA#AF4AGmrUA*TQ9!arC_4|#z&~VhVBxr-na$VBs0*WqgHPsOp*LKn_pyIr3xNK65Ha2tR7^R1)aUabcbX(v!-MUW_ao@`p}P9fTZ?r zL4o5Y-B4adiW41Pj6ASUSQ9Rgg-`SL~S@y6N;TX6|!q|6d+0@}0WTRN?fKyymai_kwtRsc5V*?U^qDoGTFlId zK!-i4xr(>iGlT+fHaXI+Kr&h*REFpdGD|e3y2PVmaEQUNzQj|W4$Q=f2n9{@86S~P zzDrDaR)1=T-mp?@$VYliOn6E?zstASEeDo_%NI~wRdg}|P@DROvE>cN3lifWBNxX8 z#5D{`t7`g2&a@JDXF+{&z4*uRrCq8w4GJavdALner7BGftYWM2)7mUnso+ih;i~8f zaw<)>X{1D$ujlJcE&I0y2R9StjL1dJJ#}J~CTb;oRH61_Ys{*$PfgTH^eE@&mG%jV zS_vNI{5+piG&q34*F67}r}FB2Uq*W9OA10M>?aCz>?Q{piP<#jeETmg+c=EVnmWS1BheAk@Uo}!oRaj^S_*?|NaH`ul+@Ib(9`X0 zaoVe=+sjXBubyr%KfBsH_}KP#HTJJYiX%7AZ`d5IZrC09#YZ)}fl^o3zpPbAmgRGs6*-w6-`2>JB^$92D<&DDr=luGE!ASr5gHs~C z>JQ!^e`ZH}F&?&;Kcn+F4EOmd_!f(kb193s-qgpz-hx2Wra)6m{lUtJxBlQ+(W10p zFzGGeQ~klJ=m0?m2HSBMmKUT(KFR`WQ)~~G#EA@`_<5yW>;UR)?L~f`A3M}*?(l@? zHx!gOdA#oX=R$~UZh`hw&s|FE#Jl?T;`)PQ7J?BiF`|ui70b`ZGsO;8Z`Z^+d(Azz zpy$oj16%d_Lqs=gHMauN=t!zk5sC|Na_&#qu@dV(R+uz>yzCCpCoX^#WH>hCOceoE_bR$d*U92wC-(^^Hj-GYM2e>^$dET@<@D8Ailt3uC&ir0n_ZNWj%Rek91rL zhv8l%ba{c8FfU{vZNm6Hxi^4zZ7R(9BIXG8?f& z-snd4rkw(^Be-#KwvwMwiSo~sm8VMRLXB_}e&8UX?7#Z$(ynhW=UcrElX{tPM!ed7 zE}I>1u}Ep4#s#{}?E0WQ{ek3d5}x4e%u)$T5i+f&p5cUd?-W^j-V8LYsop&Pf_w5^ zR2b z%~z(o{$NEUq_7=WX$_}$J5#GOITK-0=410?#$8Fs4_f_F)#%FQ&jgr?qCubO%#RnldktK58##h+Xo-+(No zLr%Mdv)hOiXtqzhVCjj2)Hur1$uf?E<)jWg0@Cfs4-juPcF+@jRev%McOuR|Q)TQX z*j!f`h1oJnzP=1^R~axUHSC3}h0-6>Jd$E73 zkyfa<>W#r`jN$D$`Vu#hQwo#f-|u8LWajg4@51AKmVQT2skIan;$&znUW(f7=f1Y4 z;qCTAid_?~s|*t%j7ux>texc`%a;^)oOjoP5y_pr`z9@-;r!csY>SN8nmiS=SVjMX zqN}(g5dqI6vCIF@Z&J1@`m1Ft!UNRoi~dEg73r2tCxv2Vj&F^vWyYa16^cthT%6>E zRx`eGij*87m8a4i`)J6>NOsHh<=g2bvdlgFKwtJAH|xoHj=5;&Tk&2w=G%|hn$(x? za=zW@d^-{`&x&NeMFbc`r2mrK(~V(<@qn1^T88|Sg5lj8gjW!|r)`F>ecnKcIm=1B z+6(Qe&H^wJi1>6hBoM-o)gTZgvLU z?FV*yfKsdfw%P75x*7_gnxlFnz7DYWo+50iw*hkR@w9^Qwba|86N&l zkR_~Gh*M*0)XV8|Hfzw4y2f|;(U6K>P?LM4hhWN}3{I6>M?hD{=M+?LPyVJ0Uh4zqN9L-~miP3;#VH^c9&UdVSk+j| z{;FU#*nySiK#0(;3POVgLIVUsnn1`~N4!}t;E{OwU7%PGD7wZUpa75z7OBYtUJP~R zbe8}eba$$;$!=PiTAfB1a4Oca(0B08v2|tvpgd7PnN?RSpcb_-192-CxMGi0zfg}m z42AvuJA3G87Ph=ohb#q@>jpQ6hp!4PY8KdrhqqGRu*6T5MW@-eXjcj@f)b0Mf@0wr zDuSN&w968gETrsR1NB8a<-0|@qz>vTYS;N6?RHxJ4hiH)=p5dSSOTa? zyUs&|&6#2z(qHiNS+J>-c;`*QLi)TJIW4w(NNnXm-FIaE$iSGs^ZLZbUeADe zX`#qiME_f>6GD$ha^7!y@>R;<@W_@=yovco1LpVs=7GgEuU+H`nEUmX_q~X7L!;*z zE$@`+?$<-^f6BMIc}Ohwf6k}qPbgC23y+yu*h~TF$ z4ad@daKLN{nrlIciDRb5q{j9Xd_s$Fee}IRQ@bvwgmeUn%#6d|l=w`JfVjw)M%=4S!lW<7DuX$(WqJgn97 z*A7%}l+(Lg0+dx1;tN?I7Z~o9bqNX4j^Qd%Jc%$<7*(TU0TH5K>jsu*wqD-bQeHqrYfokOi~ zp-hZ51SpL*%C%tQM_R)`c+Yew$@feSG;;&D8nd0hW5t(j0}bq>a~$O)i{#LECZ-q_4vYj&HLjL$Ya->fpKS4PYG z`GydEyl z4ML@zQRTolXJ8phGd+mf6KjtQ*9uAzrsXw zpXl6z^h@4{7InTtb@LI^?w9siAHV2z*+Y=lmPxv`aFy3(T^ALJYZ!%EL;o|2BGQ%Z zTEn-X#j(SAkvjwp7G&DJ<(s!#uyM>c#>N49Q)^~YnV;DZHie~547dAO7?bM+e7@J| zkaRF;Vjb*^lUB<)G0rGx<9Ew^y^+nqbiR;QyOAC>AmdIgH>hE+M?UTdYQfhTtzhH3 zc$`qOZnl`C7oi(Gm8qmPegRN|i67+!;tw`{&KFD?`7rsGq(iD2H>ZQSmPU>+^p4U0a)v4?LW9oubND9^IW(NobjZp1(isk5= zvVge_z3krsic{X%^j;3vyHQmIwF&xO(HcLL$%o4#NR}oTUx!{&y!BJ83vxy^Ub;F1-X4f$9*qcKK8lOfK+9;d^DprR%<*LW)Koolkn8Ln*)`W*6@1;$sjyo zL&G#MStfjpG&Qvvco6hl=%8ode=@BEJ__NRI9zlFu_|a*1Tk|C~rpZuzD}a?y(aGl?WSh`CsNbu(BzW_A{f58arH#s9kz z$wncPPiKgvLb#xLG@N)u=zmzN-4#y!MNv*|{Gl}IBsB@CRP^yUq>)pidN`y}H%B*Q zY2*7c>yASk*GqbuHWEP&lDh4HqA`(aBGEbY>V;$I71YnIrpweuKIo#3DxX6g-HJM@ zgznTa`iC5{7*j3%Uq=?tlk$WZZqOPJ{m+Qu;%B>|Q9qVmYu^vDX!Q44xo8A2`NP=m z#8ARpKn&{~VmMmO@iawbq7Rpb5qi6eB6j0DL@}s{<6(z5Y7Ga}xCl4-KjJ$SRY5*> zWr*bI|At7a=y~9htRpjI|8QE^%x|g}9aW&_>cYqc$h2wo6Pl{D&I;9z=&aUe-t1j? zjPgm8EW`G1l@IH6(=~X_@U=YGFLbXRzOtxYNnXSnFH~Bar0;|-(2A=wYoI+;1l@py z5Yb+6xL9-<&1z$+WtZ38PDA|ya36lZT5JRQb|I&0xQmI}7fSVq2}Z*_Dd%hZ*6ETwpRTJrG!qqap+P-hy3SY^HgNVR9& z$N&!`0~o2+Kmz*#VBGj%Mh5tzYkAAc02pWqyD!7_7D#5ctPpO(w^p0DQV9Yzi3J1} z@Yaq&+w{ym%S0ML7+Ci2gn^l?UMS*v^O?v1hy}|XvEXMS1Y}4jVu72}8~ZP|e*X7v ztDSZ?hX}bGu|P=$gPpNTBafW?s0JTa^&=z+J>d;43YZ~TG<=y(2?B|jrpOOQRcY?k*((;mS?l834O}aMz zO_3##9d1nb8A4KpP(cW6M2I)oIiL!~MoAWlGFQ5Kb9g0>m=ensX!wG`i4AK*V|(@Zkmfr5aq$ zSyQr;phR3DWH-RiRIMPzks-R(H}b+dqglZLrr6k2;yc4DFv!#Tg}}*LR?Kw5|sHS z^)+_;l!iY!nlDB4R2o|m98!_?<_d@{tN&o_nDRVCT} zf)rxqHDqzM?6$&BI5AaGXO{bo)e5&{paSRws{)l}fiZ)WmM9Sai-^zxt&V*9fp;^~ zkfSnE%f)!!e`UEaoaLfFwf)=WLRMYQh2XC>`X6e!cx%+xEf zMfMzbDUt8HEhQ>JEhX#JQWE)7>;-|J;zSf6;Y1`;xj<0uXt0!ThcKW+71>64GJ5&Qc=nur8!1wUi7#hN#P1 znvy(Ct)E?BQ7g-tvetx2>Z&)Bj3nr z*G`YE9~Ece!t&z)Mr4>E;iMAx3(n}~TgO?0q;1{Spx4rCkYJ3gL2`frrx12qgDg-? z)*ulDIlq!MNOG&N**R;FQZ#0TwkvbiAo(t>(2@_oR%nxa-4-E9$Sy+iY4nfBUxbdS z0X3GSs6{BP#**KrYWHy$Az4qmEkcL0i;&ZZUHJ;7oaHxXAS^Zoy3eKbVk9C*dNC5E zB8$-)_7|W-HPEDw&rYS%Ytqh0t&aI(?n>0ar)p*RPCe1A8q%_Lw|ViSW2%*LK!j*K zm*GSCo(v1d-B8cW3O2+Z5#*5-Nk(6FgVN2{tuwm{;d`Y*l?iqs6O10(3xpQ@Noc|E zk4x~s0pedpQQsKxp`0nz$*=Z3gZ4jW$3@ZdreBI+D33GX51FRcg5Zx3Z1QN(+NAN zn51q}rj@pE$23_vFQQhGrrDt$N)?%v;JFzZ4 zB}u>qK@A#E+2Y%){bHr=-l)6ZfH@rcd|M-T!k!ty#EcYtS&jYz z1B1e#l|3g;t<-(1=k^MiOI4$YjmxfpZ-b=VqxcRB#k?w1ceuD1P zkqsO;g8@?zu*X)e23~|`*a&|z*tc~aCzGH@P*$sA4*W)Pg3#~EEkQOx%jbIjmS>+T zLvHs=tGvfFs8Nqj6{z?&MlHRmqX9vgFldR|JlR|fZVj3r>apEJISI`htlT4G$~NVT zG|Xjec|Wz@Y*T|~bQ`pug!V1e9%!+jaz<{9jGUbJ6NqPL_g6;l=jaBKPf~86a+hqS z`Ce7SwaFQ-8X2w^f{E{{;SylpBEz*JJ4!9-QR-&4J;qG+*Ch z4L`~*>Xr`zMXM*o8`KyD*k{chqsIjeWMBl+)obL8I4$N)n6syRMVl1*&D6#g!8im+h#v*GozajEBV#C$nb{WxUlJ3KqCYp+AJ~E~pW5WYrb_m`0@}pJ3TQ4%&#bob9UDw#ULI(ggniC7wyUexpyNWd zU+W1ct|<%--W*QU7J_j@!WcTRfgf=9tMj!+&eQjA%e8mdY~YT%h~RQ!@340MK=v$Q ziS~Hd&G&F%EkYPyMc);8^%Y3=)tg+TH#F+;SLDmOUy5l>=5eFg=y{o}@sVUx`LkL7gFMxn zp-cxpXLtPyk6*igRs8H^n{?(SnGc3}By4_xWFDywnXlydzl=8n4|q5bz2*I~p!loFx^}TU>NP2-#D#9q->f7PUt>MbIjYRLCnR)sc zPf@h5o?2sIj~+{U$bU!D9>@+O%x3d+kw z?a`olEt#|zgm{+M^EPtIOGBy6A+(j9fyxh%_R44T28wyHt-Vyn+xVYVO2B+i>XXId zl`VVB4O@0{kfgrloj?)M8=c}}hx6wRO4J@9hi(S$@(_8YXlv$WFfkjC66|in=3C54 zZONBHz0nz}F$q&k1@#6KXPzRq41S3KTov@~nO`v8ocdRfoo~J-cKl=!NnQ0e5yTFK z9tkT|0V%2Z8#;bB=*xgG0dG9cF$_UM=HM|Z?!{%!N^DT5IKMb1>6FO4n!Sf2tq1elw zj6arcddlUH1do&sabl6L26Jd0`+d>@IjSJF5@!guT{eRXda5-Z_=zXr+dc=u$SKf) zZ-8oKTrnXR7>0Z+=hg+x*Jwd)7@8z4zyT!`YxU&J2kIMzQ-uH8?v$;{gE5 z3T3=Uw9NtEmN{?G(_rFq;xDl>>Zx@hF#i~Y6YjdT+gAScEtx--a4UW1RrH@_XJ{-&M6k_5qR$hf6FcpTPmwL5~b>4bO2;n zMTWV(Ew6k(jPLCimq{_{)^r6yW@StEUJG#(Pixcr`_1T;#UP2P1jP!AITr)6$%u89 z1rt~0&HWK>JD#$T8z<(@vfKAI<=aEGXEw?Somfo8b{1&Qg!`9i|J_pOZe79?%LB38 z-wG6h#deRNyQ9v%C5VxYq6ZQ>#~s^Mux0o7hN+&i$WG{ynuoIN{Q|`lOUATT%ZvJ3 zmW}McV}^@OIlK)%I2FD!_KrsQ+fe0aKoYYg?aJ*TDA{M)53%*{>@$C^+0fX37f^7o zO6|nWdRv}7LvH!@RdRFN-70lWm%S_B^KQAV(c4X>a1{JiFg= zG)~aAmQZB}ee$(v_rX@J)GJ|&SO7Ng(!8f}it50+)GmrYm?w4QCI7)I`I#?2^OKLH zf4b$TJNZERr$>Hzk|3tatlHXX^4!PPhP<(fve=zxG@Y{oEM zQG%~AUfU6(ioMay(dfBJRt;ilKx8C+3xfR=e<<`d*fE`ku-i*69-ts?OE4&rX2UYiS zYTPUpH*N-Zxn?&rKni2pp#mBi{dvNDrB*VT;2D({%F3)G%JkM*_fB}5)t_rB*EL+% zbKS%>n`=JTom`Dv_i+83>(^Yr=X#8*V28^!fNKQTXs%kWOSrD#`aaiOu7zAC*DtvK z$n^x*b6l&rF5BsHUCs4ft{b_2$Tg4a4z30+lj}aNUvd48>rt-1ay`xUJl8QkL|t~M z%3*StZd#CxBwj9TXo$)53D(({$R4&3H0zUz5Vuh%7A7Ec;z>Ge-ncf-nSgk$*3Xn2 zP&n}{l*1NP$bE>UJwXsgP7+{U{X26}yg1@{$;WsE*rUrsu#*(A9|z1p&5tUg{j6!f zhk?gb8ZuYqIIYwrCJtJGa?E9}x1Kqef-{Zo)XgJ_39rRAp zT&N`FGi-a?QwP2XnC*#+H`X6?+Obm`$Oq22!ds|%w83^|`AK3rm%yTkD^)-54qoCCogd=M#>T%PD4{^mul;BS7U zAn4mm{BAFG&#S{Qv~6NlUhIQ>ef7jMWkq}}FNz=O`jq`G@$7{MEXncil_N(8>b+T< zgNtx|hA7*ERjF>Q*`+Dc4(DYd-4!x6LnbD+YmxHVBI{&@G<*T@e-Li7FxMD((TDfa zim*8>h#aFm^J$QC4&b7fkf`_o!Se~>EFcPkg6Cq_70e*|SjEAD=?=m-rx9LG{SCv> zlv(b8ly!-N=U4WS9|eNvVIDCuJz3#-zIYj%9|dY|s)+WtW(m{8_QX_(JYY)V?;Wu_fC5v(*jdTj|SeFl^Z@{t!x~ z>V59&R4{&w-ph{_B^1Punpq;&E}KEa_%&99+(5#p=h;82H*Z$#b>0MK%dh8Vp^oC6 z@jkz}hxa=7DYJ^z@2Rt$`?M+O>3M(c)y{p!M(6&$H=X;9Wtw__%Nfpnwx3x+{>UWf zzF;S&3;e!)kK7x|>*-I)AobY5<4Lq#KhWk(=i6W{XZf~ii(4Qfz~zFuy|iarD_fF( zmfyZNwb)X5z#~&z{18ve|AQX!!Q3LU!Gk9yS`@F})E0~D7*Mf{n>PSSX=xl3_SU#sPz9zr%%-u zZ*$V8sdSmoQt!0@(Mg{{`kc9v_C0O!U!1fXC2hK--J&i2m6JAG(k4q_YM{@vDqCj7I(yDPF?ki~0uC8YXTVlUjD}&LdqRIH)_EeH$Mbq} z*X}mS!oz%btYv3H7gBsXUhw+z9e_)FR-EDU9cTDidSgq(V5Z^_uZS`WL0iDwI}36$ za@Lr>k#g%l4UouLzs}J!i0>e|gWUEx&SbDpXP%1Fyi7zVDVK6nNxE=Fy!8Y7_2;W- zr~Z=6D=0Y#^-pc_6Ef(6lHgj0UinJ$SCYVSa#~Dq%|Xg0o|ZXCxiy`!UHR)dNO`lo zc91gjdTsJj=WCEsHVKwFNSS%vksKw7?<-UU^+xh5Vf12H1kxRq?MXSfThRuEnqn`O zLCraDBV2=xe72AN$S97Uvz9b4ku;bVl{R+HGo<-d+S+tlV9p;%0|UwTOgb$*=O?6r zeWd*%od)*J6Kq8Rr_!6!>0sY=PWlYe=ggD3!9LkyCokBybmD|lC&LB6i_ zwm|o-pF37Cgdh;w6K$-xs9}AW^si#o)qP2GPiD!@XUTQ&M=iVsMV}^j!XJxA)JB>G zh8-1^f?9pz1+x(FOJ|K4#9G|Sx|2rLh6`maZc}UVMAqWdbJk*+K)Gvin_7$8@* z1#7YHv*t}9UVtw-Z?f6uti|u=uEpNix|EHed}Sd^TxKcO)Y98*k4!Jc&hHlcL{(`1 zfwv@o&O03L&`Rv2EeQMfN|UDR*U2e}%Hb)^XWot@q7!I^b^3;80sNXmDD{c+X0EXW?gYm))?G+B>almsSbf@&K?4@SDp9rp=7o01+O^D zqyCQE04%qu#Bw>pakjadLmW9L=(a%|;P@TIHvndiv{GsbIqkw)T~w4J6hZ-IGeJp{zA3wiYt}V{|wc< zy|gYm-{rd3Fo%>5Eg;m6w+FXyVzlZ_P007Q*5I%>aNM{^8s-4OqEk6_DAWAX+~)UD z%`Z&l8?n|x@u0t=#4s193fT?Kn!*wb=Du_T&Hk@X0v z=4wZ~q9C+HxIG8U{IMGhCCVnZYtG7_0#Nes!kHu`-j=Tgf3+dlVw5@xPeykAzHL{KkHBmYj9)itkX zsCmUkL~PtoPx-p3bsU{qJHQm0ok4spnFOPV6Ir!tJ=l#hegGuly}9Ifk|51l+hCm}RL#M*^GRc)AP3zt`ovs4Cd8D`Dxk!Vm@XBDxz0L#vkZBW zUtBslEzZ1b5K?dn$J-XxnLX=pvNzea>KT@;DQh*=iLH?Nn!jm-VQ#hVx<%^01xSe2 zQ8sjBQ;p`UU7fJ`&pM7At&7(V3dJug3B@O8(0{hj=d;9Tr$UsQl?2$SLM9KzYoDy% zTzBf^$BABHN@(DS9CqvV9Ba3*dF0+tLH z8?7|!d*x;95=nzmFr=IO;CZUa84+-{07ft=M+D>yYx;iDu|*oELfk3W{;R=^3mw=W z_U)X1w+>}~yxGG(OOK#=D|%D?B^Lro$UKTd|4TV&PAt3!3-PJ#znm_n9&3(_hq%*p zpSDDlfxLJuPiy?E;LOZgNan{v{@xw~V@f}qop3Y*vS477Sd?9Ynm4v)*0fuIWHr_(|ywQ3A zu!Pf0w@H|{Ra9<0c$>4xoZwq!wrdmD@kQkqKKQD+wN6~L%A*v?LU>?*^8cc1oMTr9 z+7YhA5x*>VjZ?tuoTgnybQtA)Pg54U1MJVaKSKGP+`)$-^X24C+|e3;?Yh73#IGYx zzke~8I30jjRa1heVfx)(Sxr2_W_&us@u<~G?`Kmf6&M-d-gKUDJqU7d7 zu_ajOd_6Bbb8d;KFn*vdspDkHdM@Af5ENuJYrgaQlRk@L6+i zHhkD2e!(98K7iN@Qxl9VJ`Ggv;~w&@((eAHfJrnvW`|lX<8JE^Wy_X5G2o;bI~L1w zqcuoQZHWkk>6%pi;hB4>o=Sy{?Xa$%;vni=i9m3X%3-j_m0G7OGY@@9KCnzfu+IIu zqPhmExW;y{R_2Y2MaXPPmh)SU75hDm6?@Otq$Xf6k~PqAnoS-8FV*z1Rdm5Zqw+|4 z79B{w$2;bL#C8!@QiA)ME9Jaat57=ZEI+RpnOH-!VM!JY3KMV9iC7mhKXoG35y(kU z@Ek$GGaP*vRB{|alu{9nV8zkF`g@#a-8UvXG?$Ia;H6(^A}h!39QwwSipHo<2Rl2g z>!!&9$MRPeHrJ!4QyTyEmW{c!TJAb5gB(m5`x%)hs-3j4TRce22DZtpsQy>+Ait<$ zK-wt@0~cwIY6Kx6-?~z*u;SNmoh2Y)kyQ)zIKkXI`?O79b()}7CpZzw^(pyuEoknjryTzR?(^spe@PM0Gd<;qedUZJKQOH zC@<||Rku5|Y0u<@ht)96MHmhjAxOY_4w4F6-z{u*r>rL0-_9IN0`UqXkZ-*^Sx8k|^b~=EfFsd=q*aNu#6yLG0>?btSE#Rq zvoT-iOY5(E#g-ExNQ|Opd)5k4IN-V6{QOLN^;-D~(@;4uFd7!eGvJepI%E+)599BhW0%6@1nD zm$R%an^FSOy2$3ru!bS*gAYR^EU-uQ*aaLh)FNfBL*u* zWo@AZLj6_9d|MX(mcu=aO&pcDA)F`&_V8fdsUGo4XoiQ_I;Bq`?8W*?=G5I)*3wCW zvxq<5QREg4_r=s$g>#PFJ}x0Cu=-7L|*bBCT$!^R1m*T|cHc%8BRW`PDv`Q_Ayt@e}Jh zjT5&gX)iXo>i^CdxZ4HZ9Dq%<5qL|HG%MRDB|IZ-kIY>fuHYrR)yY!n2urQBcG1fM z;M@^-*c^(rm`#Rnc4{f#VzRvQ=vq6*(TU0;ub?Rp+7?;1_eOQPFhbOT>>}x zm*x+}79)(=TH@T_<%{zGg1u{wCADAo1;B2(b%T~1DGq7EkUSqEnK;->Fo><7S*=t)cwWk0~oc~vGvwx>#t zN8d=Az@=3i>bmbJ`}ADD<9d|quUt=aJ#z#PvDX#q2qJhwB!u z+qjyz9^m=|*I&6-aJ6x5=6aiJ57&OKd`zqQaNWc8bFN=={hsSFt|z#j;d+7VWv&jc z&0O2Kc5;2d^)c5MTv^`mMg;xYIq|HN9l;(JfRBj=A{M6A@4{ilXTTmAh1TN>p&}eh zp2xD%H`X~oYZ%W`t(*T$E=nWD43VDZ3rF2yb<``B6A>#98|G&ra&0D8poul{Rd|sw zw&oahTm+>b#sZUPXhBT*)*1XKQc6=EFQe~>#&Za33Ca~-SpDHTh3RCh&OitDErgDc ziJZT|I!)vc7O%^s?)BCsPTfJnJZfLthHClH)KH+t~Gi#wcgq&Ki6BAOOu)f z1#c8x(riJzV^k$@qk$!5Fj3NibMI6VSK}&RoLisaUTvVP)Wi4{thkn!dQJaw*?>k* zMqg2*u-8yOw)~vPV20f$UP!vYciF>c_-R&DybIoyuAP8jnSQ;>+2X#+z_qNVyfS*g zaN9w68k8iAmDzDIrj*tc>I2HKiybQTBmMhTgVVn#oILum`4{TTd(j)jF3{Jy zjhLlC<{E2#rC1z_thwHLQ-LJ%ytSOfSWR){DeDQI^rp9Lul0yztXa9#!cld=_=ZO5*r5knRg7jX4 zqqWjhE?S?B`W`1Ph-FAt5SeUA9+b+^wDL2O6>AOplp`E)m)G#%A_+?Oimv zzpG5R+YX79F_3&9)l9)be znO!uFQy3o++Ob3^^8;xEdrX+)Db_op8Q=ra!lFd>U#4~e_@atD+aym_s`NC3a)J`p zx14e6#n&Ij*uQ?_TMPEaJcgUs@V|GI8OvT6|Ks;wTl&)L#(|{a-ej~K8YnVGi**qk zv@pACQvxG)Y*4;gFrqrVTT?HE3{zCKGF|xBb^ZkL3G0gBgq{F4 z`&$YkS`$oSWFee8zoPr@MGuaDacFt!sQPzjoqKI4wl7szjah3;VQ9H4PyJg|*SION z1v~jdzSjA=;oZmu!v42dC8V6=q*QdJ3~^EhaC5Tsb`reY>?Wgf?f#Voku#d|mw0;d zJp#tcP^vvrKx%Z4eZr__(h=cXQGR%O8L^e%RemUD70x@YtEpi(1HUod+U_k~6N)t# zY7HixZjhq1hDN~+r;-H??=C6t6`7a*d6Uxzaz$pQldf=bOills*p-8>tA>tta*Rs< z9HIIsMWA+78TvUH`Z_JBV9fh4VQ z4xLg3_L;C`>WQgfV#<`{b)-?N_2_9d9OTB`SthIqbw1T;$Bf)j1+mx4%32ayG23|a ziU%(Iv@um`qk5P9OahBUcc`v9UCh8N_jAe|A^WwI(VsG^zJ1-q)4f|#rH@hu?JP={ zV=GZdOwARrURgGC?hkhQ+9U4j=2o*kiHzXNj7RPs5oBkddC)p(kgSS`?XqCYhA_Cu zkvWT+`7A^!#bat1by(pLp&&kU7VxUH9cnrnx(rZrizJ1^=*Y_=IxlrHhPg|P*mLap&->R=wSvGcQgd9>Me4Hc450yv|eEviYlT+QZf zC6OO5s`&|zk((FQ{8aAOE~+7abEIxj&Cle1;i8)Rj45NX5Xxv(zoJ+Y`8bT6D%}&zaBI?qn&$3KT0!a~obr(Mi>7Ql;i%S_U$W zTV8iHLhqQuXtgoZ7>iVgT)4}Z73IqdeNgno*m4=cKJ!Xq%R6~+MG9C^U*MrF zsJ7o_XAqr}+8LA`!U}$ODyQ9e@Kv?JSof;4D}VV`HWxQqm(rwrV|SFfBA7>rd1vh9 zDc@%EV=upO5=-YvDt1iLGR*`%xqL}OO;NiFEakI4=b#JuvFp@ zJ@^Lnd?RK^j-Nfx-M4+t)e>lpOsA(xpOe;*ass1%+tt_o=I*>dNKgVJoR7<Dg9`ISa*X@Q>QxR3PD9UZoXd z%Oak!J);GD+f-nGD#?N_!V(sQ;-^UCLMczVl55zaWmR9DYHrf%4_+Jjy#C;@XjQ{X z?2W0lSIs4mHeTC3t2dKCC)zeyc8Ns$-X7`E=DwC5&>_(JL#aM8flSdt>K`|@XJib( zI7{_a^|Yx#d$HYm3zC-UCOXI*NC;q3tCO>2x;Uk?=1b{H6p_YzLb20u%Je90oIkx~ zFI)ADh%m&CZur_PzqpK|L6<~eR@s= z8vIBHSq~#iB>w~GAo*eGvqcqeuFsZk9f0VGZ*X*g8T8BH6GOZ-DegVsW_MzZeG~Qy zHPl}t{QW@I5pyr&%D#GCjb%_a$@113%QI5_MTSXsk?U6)V=f>zd&19=B`wC7n&{{8 z;yQx4jok04NO<3eWkkN(xNLMwk(;SiXU5B(*S!!{h@INvL!qo zerD}Thfj3cdN$Id`%xN)-NeQ(;WVW;0J*Yyw{9JrZLF9lJ#eb1FYGyC^RuQNOyudJ z9YI%6KlW@Fx`NcIvEw4=s;MF7He=PtqSuLxa7<~a)jC=rs6{6yhT<0rk+J-gYPi3! z|Ey#{KtN4rl4d7(7%ndzY1aSMxm+cO&?q@IBU4*P`^)N-=DoALUPhH58ibF`b)4&i z+2{Zc$&DQkCbRT0XZoZ2>k=M6Qbs;mOR!#!ZqCBxyI3Qo2T|a1XPJV_tzk|B(4Orv ziyqH3@U1XXZBo>{=ze*MbqaLy1*M?mr>G(nbWW3FhD71hZj~|V6?7(q;up!$VAe3o zu1k!bXFnp~@$)qm7L#b-#e;{3GK7-Xqd3Ww?JqF}spi!!od+jTeG6|iC1 z>&B-$W>N<^H-i>D1u-%b3*mrSfuPt@>qC+zB8iYs<;314+sLNNAY}sSH_UNUi0Cd} zC1L^5_)8j_b`GI&vg0g^B4zl~!&ZYw_j(z>DpUr|+$%&Mr^b`M-F^?X&J=pFB8^k) zEeita06ucDWXvf+HjN7)S`o+avCJAP-O)#;wr7=^Z}LkOwx zS>7cllkipiai-F^oA&o`3Cg2Mxl@d7)dub@&VIURA+QBgy$G1=oNmx9rTjXxBGZ@l zEC!t1)t3utI^Rg!CA%WrRwsOw)BaOw|Evd8`}=ikfAnX``Lvg|A09&6Ifu{Dn^a)O z#%Z~mzkt+vts9kIjAOZRCZF{AtD*?;@U+KkkXvGi;6l%AQsp zrSX~_Qt#E0Redac9SN7_d^@h|+mAEfKGOB=X}RCl7#R)^-rK_)>wLO$FF#VB^J9Yg zVHW4hn{m=&v-o3PPEUQ-yV?hI9LC2*Wb8e4FlCnDuU0NZ&) zyIUj`-qe|Uc^Nioylup6k$&e)m(65fTjZ0Fc}{Kd==V4)DEIjY=8sfgtR}^!D*TYIg5l@V*k>JrBV^5^#*G@#F(<0@0a%W zK*9~jnfA_u&TL3Ol{mt!KZn$&Ii~5Y*f@$^BST#iT3x%Bp-kakT!kms!P;bp~Pinp~U18>-%IC1{)n6v?uBTgy^>P5@SqW^aQY`QW`~b;xr_#(**J< zd@AnC!e^DKb)>kMXCpS^NGIZ-)!Rw?)nS$PsY>fq6ty_vq}{>IWxXqDu@MX8$CDz4 zF$tc`qx^*T1_5i_yMJE~-pF3Esxwji2np6yItTXsO`cKZr!wD49&0ifmrh9Q9L*u$ zUrK3^O1rn3wAM9CoqO&5&iydtN8bPDv-GzPk4UVvrwhT{OgY7mvf=}uy;@72Xbgse z=}UzPNDR6Em)v|E9I>TIr{Y6yCtWpzqL6u>{xf0?a_oP5UCBID0FJD65z8&JS-Zbk zbzZgqhu$nOM`->mzJnZ|S= zT-j3F+!A;+k@#1pGUXx<;n6TY>~@;+3ELhXs5KJ*K#q-vHr=={oYF% zr2NPk%Y_J}N0gb? zO``Joj{_}IP-F;36c>1UMZW{LAPUcK)7py-=VkPr&~x?af1wp=h3wIUr`HIMVRDV@ zV<6L*G7$yofuKZ)`|$}8koi=rCAt?_#w1Jj)JCDQ7|r19!k;_`}F z@g<@hk)J%up;Y1|q29)R_dA84r$Jz8+(z0(BQB@bx>)7_D||o|I?uu^F0e z-PHACnssg0j~Uh_T|aKL#&`WNtaH15OtC7uek`yCXMe=&X}wj{^}87uScf41GCpY# z0BS(+I)s|Uoh0H}B3>pWjuHL=9<co}$>TC9bH~`VgIr5&tjeyY0^YSXk0>IA(|DnZ-MQ3VA=6ikxA+4G~In zvO~<`cG6+;HmSr8>jyG+4A2OA9ZB`bX_KX7TsQrL126lME0HuWX`Uy`ml1EeEAs)=z}q7W*Zevlm}Ndvr3x zTt3tf!nz*IRIAGQ`UJChfYaiks=f_2kt{Y?Z72iC{zI~hqRsvRxQ>-Pn+_s7h=iQo z&akdf3|j^+?LTqgGT3TkMyBBctARh(0{aJM@ngJK&3}T|5V@H-Eq|3I*DStEayUEg z((=2>M^oNCftH_#;=-DzK8(`xYspED8&pLd(((?gx6|^c$u8oQT6L_y6V~8(a4(`? zW^t($lZCscO8Y9@KS`t;z8{1=9^410*0)QxF1W8DGp#>OTCd=~%=wzuKSWMi|0oH7 z+=2VW7{QVKKwk&$b8itE^A(UEgFj~RWl|K~-zTUu*b1v6RTmt{-ztzlJJSJ~n?U}1 zIgr1)NFd+4d)tf2M`Qkj#)!||8`hT~F+Hd4yYEqLw*{*+ZNCpZAiIz3#!YVvJ{s;F z4x%_>e^%%e9s`>BEjnx6OA&GJeUv9Ark+vFcBwU0CJhz!q&R@;vXdFE&EZ$f;_D?p zeeG>cfwvi_A_ zv`(-TL&Q&Ot}clVN|iS8849fU^uo4@C3&gR#r&3c*XHZ4hjiJ;7~)CSLqnkEUR0X!~q^nW!_Y4Oc0fp+sGY zzHB4etrtlUU82B`l#-hcJ{Xz4S(r;GR}y!(zXSK?(ZURH;t7aHr=vIt-}* z

    !Fq9*QkxV@-@r)S6yS<5IeTwW$y9ew0ev$0Ux9&dC?c7CxR&fw6F#>Z%BHczk~ z4NW9fdKMoNtF|*$y8ZjoWOhqZrR_X2WlB(J^o|`)sZFE6=Q8>U0frbK6z@68BKlyt zKnu5>ijX-M1C)1g6J-TuzvPkk*bGs$CCxLtwcE-=l+Nxd~(y$v^o zruNX54%yS!x+;=rZTE>)%M5k;#A*c*r5#*niGZVM88!jmD=(8h>-09Jb(_QOrO&yo zNQ*c};EjJxs3Otr^x;!E9misP3{C{^p00D1R{)+&#Nc}gq5!tp2N zHN<}7$y6ye^H|&qHzZYmTB~*`wWZBz3Uv$Q2^wW&XjGbaxwJo|o_))R>|0)k?;?(a zJyCBIqTYyv&Cnq0KzfHkxEY_W*e%(>tPx?UJyrTWfDN*ps_KUsNtI4=QV@gavN49N zv?9GHnzOgmMIYrr^iBx_3$%k^0>)a8^@x_@l!6fJ691H}Tk`^C$kiLKi=MnzBJ&Q( zo)MH#KVl-%EAb@lrmzX={NaJE2$TvV@&bk{Sza3Hqu+ zNOlc6t3llT=&cH^Yk);J90wXXd%ah%gwR`BXe>#UzJ9%z`M7^pU`(X^dadEt@`B;J z5jvtZ+#|nc4l)w6JukV+cy_-%rbY|bz%!r59+Yp~0;q&`$+#bJgJGVb<3kwpr65Kz z-_eM^zeiqV?EW5wV&PeoDy^NV5atZST!nS#IQj!M5|<}PO33WpE?!S!GZPPNs%Yx5 zB(SN5tr>P8l&y?d`}|SpxisBz!@QYz3vrw)z>b&x4#wZ zbVtvW=R)?lBnfTujtZs$%b52kZ_!G=EW)j;$7=r|NlvxN##8L5TWgflHPe`>!paE` z!Y+lHUxpBqN_O{*!y{%1@`1d>~%Q~`P0~%91z-moYq!9Kc zG4B4i1zf#-B3t&db|B>&v2q`OFoark*u`o)hXsi_;^_3Ir|TAPMPahmDF4;O_?^aq z&oD!pQ;XZ_R%aWRFoIfOD;)60NS$<*m9)d!y-+yar zU2MI_xU6;wvy9%?Y4t0wpo&fufAEml3~vgs0qg4(sZ2G8+#6$^XU*A{&_9ZG_MP8j z8SnR=h81N)LwUCO%2`b)JULc+Fwo34st3j0sgl>=he+Gr{M&eAo(~oEkOI2Hjit)oZMaqkDL1d0}Sp84IZ=-m! zIN0G^z9Lz?SNq%K{?X5fin4!Wd0rF_vx9viAkF@l{nUzSl$4nCxV024u4d1vzmI_X_FyBLsHqr-?0*sMpKI)QBSXf{iIj|;uQgsy0v0qh z($-e%ViMu9d#=utz)A5RNqlZXnEOYif}=JEM{R#9Pp_|WX$?W%;zeH=J9wG)(?9Wv z*1+_2#fX>QAg8m(l0}h_5TvoOlXBPpo|hEs8Gi%&p8rr;{Lkk38``u+sWZ0osK4orqBdc3Jh7c$ z#@apcT2Jy9yi!#xmOMpeI*o4HoUE5$$*Ga=$C7;_m!;cQ6se3Qd!*YonYIy&amCJ_ zb0=vltX{lw9~`1&iX-f{O+dDYEy{r={#Tkeg2gT@6Lh$g!LKfFMv7!$3ozo;zINn-Sb zK+RCCaT$$nt1Zk+zQlvBP634bDtu6g`37sNC7Xs?BLqrN+O0}xDqxroj2#!nR@o_z z0~&dsD1GfWax@Qkw80W{aKX@B~MSd)&cen|7VnKdz^DZmr)Amqx@@%oVX2-Vy7 zX)s9s!hKp_xHn-cE@+KRRA)yjK{8;jm(9+4hR`ryv+^HM{W~q?{qS{M6C^NT&x!rH z&yG)rTuiSJG1rI>HOw9HiGyTP-I(6+pCQdmi|DdGoTv1=`05E?S^N-eL8`QZJsF@k zAXR$B)gm)nLs7Rta6jZ07Y1JTjvT#WRzAXrE#rDo7BCNn6X!OqIhs3l-C{&iu#zof}0{gt&|cEJL0uJs@JXQtxSvPm(iL+DJ;Q z^U7#2G3`k*a`p$q{@Bf4mu0`NwyMu`k{(ej*?Q|WCv||5nD`)7`p0aUQDC{6j{ctD z1EIScoR-B_d8EaS7qdpu*~SH!Hki%J{nSoBE8E%UW!rc1-S~z94rk*O)lrTSMwc5h z;$SP~>$&B#&><(l?ibMxiA*BT1=1$o{Dd0&QR51!&e{5{+|&evzY*|;sy9x)d#S3{ zj%W7{x3O&3(AnjK_yoqVf@eT7f}165j}%*mpxL}>^qT{lUl41q)h*zG@VI5yAoX1a ziYyzE?`lrt1#2cn-uhe78&KXYJW$>bxLNIBx|CN+d1;$$J`&Nfj}!uKgBY^z9)nw~ z!&4BvkyZ#flPDe|MVd(pKiw(3f}5j{o<$9g-+yE}l@wn75GZ&qBr>M#3d<*Yh;l3$-U*7HRz#^l+hhPAK zOCXRq*e1LeDoP0{DV>T+VYzJ4Sl1(;3zSa+0B>#{HRZzJEru$Jd%%WN=_AuXD(nTeiq|Icd7}74)i+##N;T;eYIK0San$U!DKnS3^OBb?{qtRFNtyWZ$R-9-kY{^^MQBXA4YiM;M@b7 zV!KZH%m6{j=-3lDJSB_oIf$~4Lfj<=5p??hX6;SjqpHrv|4C*-21vX?2!u@ri8UIm z(SRlda0X`Nj!YzqDAtX>(MT0vDVYIOmc&Uklj~I5+GU%>#_zW}@>T)MrkaqLBH?6$lO)~mK{l|Lk0V()TXjQXK8!~-=rk{vHmTsg1zgi^(xnb8Uof48C>5KG?gIYFeQ^4mN2I!U`wQj=UKqCriyh9|LPuJ9ydCsoib#kT zDfHw8sjO6@9=THC`Bo}vkYJ?}MIo4y<~lxEzRh7JpC?AxESMe8TS5CQCDRcHUL=v` zgt(H&F@%MRZ?|yFsy^p}MM+`oAbN+)^%TO`zX8Dmgt5dyn8yG`{Q5sed1}czg#h-C z>LCJH70prhg3u?6lCd27Us+2N3@r>2JMwBRW7H`G$61Qdb!BWZ$MJ{xH+D%T=YTYROWdw!S5z3~bVY&Y-z z2Kbo-O8}XyjyB{Z}HB`*>Sn%)^KG zuOKJI7VFHj`0%Q*;=RujT=I>j>RR^SP&PPxc=4`8ZUem%Ec6OY_#(b^A`@PFc zL0r+=SIT6s4qlPv+3+Ou;?bUHS(Xt#d~WFc;$88=+QW~&hRunq_V91tBI^9u+QWa5 z-}h<{n_u$$AGL>L{D$n|cd(;A>l=JE#g{YJN4E>EcwH||4~{fyMaW*Cq1}zepVMqw z&SZ&1&0?=pG)6R|-Kuk$;b=Op-X2In>NT9Yo{`b{>dD`F!m9K5jbHJtpICKH`qu4M zy~QWg6COX2yQV^|{OQP5=P8OeM1bnlLJCP@$sLm-Y83v51yy2Ex79pbw%r7=^2;=T z4;v64riYL2Uw)psktX_9s2^jPYiiZn?vr(1_TTE7vpIVb{l*0r0z#JhbGji*y%W=< zep$K1m|EnD;2xHuwcV%zea3#T@h^5qIB_gA&eP^8N%MriImO0RQJRMU=Yqc!hlLYC z!+qS8&6vT?u3jVbD?xyo4*<`(=e`Vp69p-n1#*S_VFr&_i0EoI!u2ZvBeBtqW~5P& zmxzujrAmZyMXb_3+Y%hlE=dblPQf9J;rJv``K#1#0HxyN&eaiV$!LpD5i+mfE4q7< zs$vO*I13_30#;^K{!($07Chm$V#f5#AK`z#a-QHs{l_ z+Pn2XnkR^PnP=uHpyp|pw8T73{g39!`%li@|7D{3{N|67ON)Z55|zMSJT)o_@MfC9 zm4f_w6{;QHx4I+*z?$_(fDy+DCsY9_(Hp%CjcQjQwTsT+3Z^ZP3C6y|4H--54NIn>^6#}FNTnj?JdrJ}_ z?-+=XYi{0I@})qDTPST^C|lSo%ZW!B{#$3=K>C(pLoDnyIw7u!1#7MbK-HLs4S;Hy z)A-e};c6hdFkYM(Z_Q1OcrsVki0|cajdxi?lI~*hE$7F!j#HfDjL%AQ-@ogm~n~&I!isY4rpbN(|1A>OX>dq zrH?J`U)9HNFFCP~H-St4_dc#B0MsrLR2gUwz`7 z&UdiypCCk_qJ)VGS~o0phZ0PyS3!&=6g1Q+!GHZDa$*O8Pq|8?j-}?xFn=GC4YbCI z>xOZoOOMPn-=t-cFc^Cft2|W%F@9+dItx@5+I>Hz1>@2Yh(=Ju-5~BBPgA2&c&}Mynlkfko<4m zPf7z~pHfxvPzBN#`C76u}7WoffEo%;a#y;~GZt<6G)$0GPT0yhXQC`^M z5AWX}us5OA2#(wQ$$>4KKMxMx{NTHKmAfpQS!h zJd8L)2V%eC24$1>K)qbNt*I0NdLjOLdr$1w+-TO2|Dj`{o0PgmIz@UW`gJhbuhE27 zBH5Ic#!76A=oH@I9ib0Yr<`;uh$WEf&}Z?Hn4t{Adyw(-obg-F89W>d^ZC6hnNMtX zn$?uPOt(EfO=&?~R~=VKSctL?t?n0qY4Mh-QX(7tkV`S<#hW?waZJwN@Y@sA3NT8M zyvab{2u$ks?~Iq1?Jn15yabaJ;Oi={KbWKXe$s3r;Dl&7QPwp;j#_~T z=_y7?cGdbOZ^IamakSjnsrezi2(I=?bk5K~B~Bd8D~d&IB`l98dfk~qyCsiLNd)L3 z@G@jzcnasltKiJ!wCwv*jl-g|HaxX2v z_znAKG#$@S4}B#Q0-Eobr|G>6PtB$ZU&Gnu(Ru0gUZCYHfgHihka0Wj8svwZL$Y1J zYh5ADl^e}Cy=!`lr(sT-r=e7btz?QN0fI3tH|URA8G8@lI-r89=?d7>}a&Y%-2N=9A%_LiRxs5oR* zp}y``a%{>!>vK>)$9*nYtA|?d^iEHM)7P*NEtVvf0Kr{X0-Nt;p@fY_BGE`#mm?_{~CS*5%hQ1%3$lKPY*yvOpYc*$3hC)J44a4opYP=z=se zdaoRce^pTHjrt`0S^%AHQJACjJThq~w-(f{BnoCqBz@nCkR zd0)f3T(=WOG?4E$pQQ_IzKk|vQ%v=;$sVFhB10;JKvonR%Y} za0`)M`TiQBB;bsnXqr_sJ>BwC*5OdhC(l9qGZVe{zEEac=6QPbrnLHx)?Cmyn^;GG zRee*~##6JV0J#KP&iuiJ5*7W@fqUH9FjRZ)0rhpr`h)dsobV?^l6zCP@6`(tr*8A( zK*x!A30luR=Im{j5)*wQi!e9cSNBm6Y~$07OPw`jZo9^7TZR0foZqZ@7%|BsFA_`0|%RB(26)=kM{0|D|1hfT?(Kr-&?QH_(;(w^%+#k&v z4RFIf30Nm%s%3Dd#K%i{746oIZUb<30SF?H7gyhtz*pHL_tXDzYgM~9El~skTY6rI2o>i^42en)Mhu;(sn_~L z*?tW8SkqK664h={;#eVHsZNvdfz?17L6rqC?Mc8CWy}sU>+B3$o1OFIEi}#cZnpS$ z?pF}=l{H@fS_bHYUE!%&Yk_O0`TqF=u5(TRR}TZr)9hoZ!&XQPrRO*fUhc^&k5pT6 z&<6mGDgMKxR)1LSvg3iKA7t)966oWIFn=;HxQI3CJ`-kSbg$@Zw2ydPS_Q zhreXojRV11x;Q}RRRuZ%7m`CkQ6!nRSeTIsU?w`ky216jiOcM8CznSVst7@u|=f=yMRn8LMISrNk1&w*I>Z>UfQVp%27 zN-E}w@t%_Tp@|zHqv?wiqZ_0BFZPi&lV0~}FCFwx`UeP?z|KAl?03fzWcXlfvq)j) z)V|*odx9~We?dVAAF>R`aSDpkVbW&*q)kGKgnOOKGnEfOd|ovq(4M%i?l>=Z?27@+~9-x#UL;3VaH5~7>1OVPo1LTE~8_OWtqOFiXAs@6)9l|&X!j&G94{rdyF zui?FTZ0=5;V&TJ{V0P5=0yc%qGl-EBx4WOiH0h@btM#-xt>C)4G0Gx2ESd=!7nGA$ zzm3N9e!`S|#p}eLPM_3_PGd{_JYo;3e`4ye>#iZf2xp)$ilZHCp%ApIs1L($e*s77 z#A^hp?JP&2th;)Ur!CzUzg3PuGMWzO?mWp_&ckx-U-2~AhE?rrs1}#3;VAqx&Ay8U z?acuri*PtivumcOftA4JBz^lKnU@_XiG^2s^vgJ{_n2iED7bVx0-baAEhugIgcdqNn9o)hCp z^G;nM{b8jP4n3IcH?e3QO60DZDuzIJTd_P&(Zg}{aO0WM!xfVuU_@XDS1oiZ-IaS- zYje+b@JL&1CX@S>GIcDU5iYZ6=q@chrPWD7Q5H_C8^eXS@c@7cZ^Bg0@I)Aw-IK7Q?4m{&EK%n z67%dAjL2%~=44BlDbINHIn0ztS|1D~pWn^%2A(G}W<8CiUdjccQp{oR<@`xT%qdmr zfy~$6PFdA1f(c5#8xPwsu6=e6rCIN}%+=8L*)F*g9~5N>f%$F3P7#sY@=ku@?^vg4 z(olhT4Hqj@KVue$$m`AKV1&Ldk(e<9?_yCcrWI>J6X8l13=IK#EhCepD%aBG=Ex3! z2hG^{w?Q`YN2ihES^H(gfjB6~mIn>yoYcX5IY8A}$o3F9X=z=0^E)nmXqVU_xRh4J zYh$EOvNP4)%rN4_B%HA=){_CejK%1(j%Z8yU2A-y!}2 zsu|jSKd`O_1#i{vd)vBpE{8@rJXovW$vxoZCMR+lW|bu5wTvsVqbxX+cVbV8|EMkY zK(e4`y@RW-Dk|nc@tdVV3yM!HH<9W1Gv6u(Bzq`U5LaG0)bczfN!pOC<{*BkzV*59cO_NF0DN`H@tKFV&+F@;<9Nd%a8EtW<9fDAhx86HW~r zutmbIg_Abq#-;`H)!`XkyanHz{Z!J!;d?2(|6SgPo(^}|Bfgis zhVLdhv)s~9fmreAxG&y`E>R}GLY}(JKh!gr_!TN9<`len-~)hC7V~ zw@UFM_4NY&$|?7`@FC;C{*N~ZJ_+ROY9!{{+@^Y5en7l3S3Gkpp%wg9Wv?aUip+&1 z?z~R?9g~DR`+jJL5YJ9k)d?%2{sCv$8D(7i-3*&&y^;~BZl6UHOm&IuS9w2Gy~k4y zOeMq0=zEWEQ24{eOueZUz+&&z3c5w=5j+=ZMq21w-iW(fyJihB z-V`j%gzJV3Gie86g;Ie1p)1e7UWLkr*`s4zRi6%E*(x}L zp5LN9@6ac;#=l;isA4|d!bBETan2#Ry(-@wotNe{n#~X4@*&|!9nV+dUDjDwVnJ{J zzEk>2PyqKLSdoxE9*~hR9oMi63S|FS*yh5|09}106>nj)k(#p?y{2OE6YkSeBdn2kc)e zuyaDxIasslnq)@6pbw}4|{kB^Lz z_Wgm#Ee{e$naPa!9xG0GN>)RNqvJ3e#))*T975ca<&F5B0Olfg>`()xw>+fi@fB0C&s*hk(w7OTNgt6esxklY?sWnS`F3>ykQf=d}MoR)NPXdFh zO@%EH-y>}H2lc|&0+l4lYSAA2Hq-|^f~PU9!JAE#N#abQc;B(=V>ppDW7yIOza;>y zJzdC-1y9o9wnxOPe-GXp>RY;f>#T-Vhi6Lg`m)znvFlgA#O`NJeC(YNLY+ptI9pktI>@I$HBToYt^5%_*Qq|Ypzm{;e9mwG z+-JNGcsv~ws!;|wFFCB)je)~6dYT=T(dB7@ve1KCcojV?H?}8>!;s0C-xG^a8M4?E`;DIX*m6!n zIk@*g9Y3P3K-UB>DBO1KKdW)jY-u)CcvelIcZP#-+&Im}oy7k*iw$j8 zZcyc;<2+1>rVj}XPRv1fo{c10DWvphUH&C}0}giC9!q4T@NFR$KoAwmWeJi3oR`Sm#xObf zP8X^rZH}X?b(u!f%YGtLaDP5ifXWqfod;B>Wg7mAgwJyH%J4XPUFbZ~drGJdaq3Re zAo!d1&q3GosX6$~?Eh^JUiroUWe&9Py#hI@dANXhxO%uP9jWw?P)>M`GktwF@2et` zxgotuIqj#*q|8iC3aRmK&Uev(z;AL^^qof)^xBb_iKAB{_ZfzNim7RksaZ1V6jL*Y z(4${HHOJ4563(w%N{7s6o=eToeY5)JXAy4{j35hY@nLjk!N^}9x8|qZevouUDj-7& zOm4Qo#9m(3#v!AHMT#mTtnil|t3FSAUc)DnDLOnPl(oT{o*W$)`YM9Ni6?#Zf&AV< z)F^9Sro!cxP+8awW{SwU(hhb&LNza-vXmx!fsJ&OLj1bCM#p+NrU)8!?o=>`$-McC zd-z+Nn(BvD1u=-^ltZaZ5*!ePx3DddJBP`nXr4Wo?*{g^b2b#VvkmEZYzk*M{!kP9 zHsb^NGBpB;-A`E4Et8nkz5~;i=KXr0F$s$&+d^bTqGpKPHHA1VqRqj@27`8yVk@C62IT6vGRv*cD-nyI<%s59_cJwJfTS`H zj+EnWGZ{)DYwIj+V=z`q-kRxYD+YUv_CsBW!oIIE$GRk5LMnyr=2wYQPxZ*^{pKG- z^vPI28yV>|EZr18a0uWol?PXgN>C-jSQS_@#T!l+#!;2u^;2+w$Vp4rDN(GJs#L1g z?Pegjk-)hvI7kB5SV1CptjjvE|HvyuD_UKxTv+LBwfoEX%Dia)Oghz7ZX7Ew`?nSr ziN6tg1$jMOWC#4&LGy=@KHBr;2dhvVT?8VHgkDjIVywcW<_cb07?t-U6K%ZaFb12H zmwlmyxAVdHvx(em&tQ-Gx|EAL`P^jpxm1X$a$=ReVqS@}12O`evCNEmW7$L1`A1J($J4Y7xTB{pZx;;X#5w)Kf9xsXHhjx z>}0Ys`Z&lYdh=b%tXv{zb|-RQrqggkgA=(w9aR&!^YG#fJ zP7t4mWaV*8hg6PzOKSSwD{NODK}a0>tcXPD;-25f>cHY+h8`nlnGPn6X8-KR3VH*^ zt3n4!$TTEWp9i9jCU*8tC0-Lez4CJ7`lbSJ^qYf3PnnG<|IAS4EN7spBtB?X&CN|E zM=y(xxJ>MWNjO~gsTS6O70-H+&-kL>`b>hqN`BM2EFK4<{&em(2hlWciBH1Dv3hEi zuXLhC{c2uOv)DUeF63dANAqpwAhz0)Q<=;|%bt#zv>f0pso_`c%oOo_l_YkO%+p!7vmPOB432Nn^AoTZf=?$znr02i!$ypQw>*Dm&G3%@L<@_$s4=JJ z2-?)Qc}8G?w3;K?WQ#GH8-~Zn`^&aepG89C(2zF!5G65-W4(g03b`+v#fAk6p((am zYAPy94)m2i0YkNDTNAmRW7K(m4>lPqZ9%MMWvPA_fqd>;DvKE%uw1T2;@{OkoM5ms zBz~*o}h3mAiF2+}Sr0 zHDxwQVE%gSHw+#>rFc&Gh-1ZQy0mPBzwk|u{Z#@Z&Z>D)@uarkJ8*yY*`&Hw_aKhp z=3bQe?Y48N&fymm^+ckntc6dZRqu{p*+ai{BEs3<^wPy?;UnqGhBXf5Hnr3Zf!?z4 z5qs#Qr_*Vnusfb}=yjQ!N)Dw?^U)oEtfdeyd`l#6_?@GnQwcMRcPV}{t^7k$H* z?a@5(Nil!R*%-S4aK~Ibn*G`R!u3256F{rE`S6S{4|R`e%1?KC56_4?kX~9cI0e!J znITKRc}m|Zmk$Aq@lMjQD$o42oW(Ai`FDOT0aQ$^V8!|D$NZMfXku$=VPz0EzyU4$ zw?D9O9>+9D?l9ZlM6z_7r&hM=+U2=sAldNEs$n4l;x{oZ&2A;)LOypZEePdfRV4=9 zw7xEwnpHWj`HVL5c2dtr1Io#Bv4@M+_*gUkyw!7if3;1|^wBlC&@~m}ceYSuhXef1 zka^|ICr)IFv2$BZF6rW)t6~QIgd??xUQ~V|;C+OA=p=tYO;1wMpJ%#~-z!ny zlevoBPXQl>Wp%f5@l?82e-po?bPn!9dUXA#rNwU`2>Z0aV~|}3>j`gzWx?T%-sA8T zb_9z(sPxbaZ$8w;_d?^$zdx5qOe9`1KglpCk30>eJ;E0A7$21zN8)Q!rGvolM>{|A zlpP@1>H$P)pI}H*i~z3NT=9ZjnM?U06N>mzjy1!oNwJ7A7phCA^nWG|r>L_ulf#4x z%!D;T-bSmpml;`|mqomv;J!Gbvp5kzl2QRUd|IM=qu1aSQAT7oMuFQ~?3 z8**{-_Z8@DEw}e3wiC{i#Dxc^5vV3OAAs6At1)n}%rk9kkogOGJPn#BdUvn9P{pNe znQvNm=ywLZ1302RwwCz>ok;EI^f_@4R&6?;KdDjLqg~>z(vbA{Q!02%|DY;r z_rJ%T{Y9$}D8?AZdHcUB!|=XpOOC@x^*K=4E?IpnBP~C8Z6|_}J&MMLj59a&(y!jw zwQP6)PLo4Gw*{AT7>X@+i{CghFPb&0yliLn0?!LW_^S526QXuZu#CUiA#xVGpG@ZBE*liJz;C3b1-V^l|yf193_S7X5e5+x@4{2nXr?n1AHS+ zh{POu*<9EINZ(4261o22Vlt8ee7;L?N^29F>(r&l>6A@vxc3gN{yQ{KoQO#*bu=Gi z&4(!?2=Nd7)$aI%g;wx$?;{C?bT}biP@c*UC${CT;x`a1(Q)Mh^m+-#(ZSQ&($5P- zzmfI=3u(ifN4&)Sn3x*P1nE8WxzQ0mGI-rJyz@qv?j_6`lH}HO%<}Efiq3#gg!`6l zmp`M$K+Mdhd&)K&<-zvfvlOlIad?*zSj*EmSmjXIf`vS0V$AZg7!oW|wTek7)=)6| zf*o~*7)5TR^fO4Nb_ypq+I;rUv@KYOw!f{~mJ{YWtbCe+?;yd>UqlZi&lC>h6hH1Hzh3gZT58#& z7LiTG3JJV^C~ccIe2O1Jg+wgk;ifjAhn>HJ(^yJ`GE7w@gYN_}5aP_n9-Ml(=iJYXCF$*qEb3~%)`uY zJ}PjmLUS(^+b3)Vw$b6%n(1eV(JvZJMln;zUI=AC&2*$ea z9p>gc1yhOtQai*_X1qh}Qt-C0Tbb)DDCi3yBRU*<$n5voSqu0|hqCBU@khxnT_;@v zvQ?L=N+;jg*CkJ~OFY!AE{(1VPhWUkpFX+c_&y=g1dBVEqo(u$(HHt)lk-}l>x!J_ zlyHIIRzL$Q0BaTgi6s)C!MXz)|K?ar0qXviE^O)}wAl3;`5*f`RKiE>9Er6)L6FKb(#X+gb~wCB2Xq6{;1w$-U$ z(W(CkG|r~8uLIx5W9#LY(SmzdFbtuJp z>Xo&i@e!(yXxvjTzz^t(a>P6}x}eMa;f`aX4bNb=#jyw|-;XE*R+OM_HLH7VVzgJj z-~0$fB>~5-7gqhce)YTLF^w@G82W*BKyI;TM3{~63W0HP!u(?=gMofK-E8G_OOk|j zzh=K&C*~JLp3;@hkR~`~oB8JBG-ve2J=$|a2@?T@mNwcEoCJ2#o*Rzka!&Kx&Y@e& zJ_%^PPGb4QF_08Lr=#(~jXTRek))MJDNEYHmmm{x7tWG}a`hP%a5^e2hlMrW7}T=| z3e4e4_-Ysnf^;i)|FZYffHuVsuB-=}syLnTPk8sb0)uh1*E0ho7ltsB!jWZ`xB zQy?2ZJ^pnuyxhL^7}@UUB;zIx*TcAENT)i@_%`MlXp`%|P>MiEPgq}il`kH)_scl+<@ILiA)7aV^ zn_%Dht*sBS-=&0|;8GWoA*&BJBSTj%Ysk)eSw&@j`g;nqJGHuBa?zH?Od(OY_Xpf? zN)wKl3y-0X5SFDzuEQ&HhHCeRtV`!8?f%=WOGlY@|4r($WV&|$0l2P;QI=h9D$-bU$gc<6qrs%*lynxv_GfbWoKB zW-pV{>B-VKzwWe3lQ+S*CJTr+TYwSIGihx$mk3mhYn(Q0a9f=?jjZ}P`e4HMm6JbpZNWitrHx<}#RSZ;c*J@)XG*EBNUQr0$d?zdFIS(e`-j|D`rr|%cMi#ycz1fT z(oia43rq=H?60aGROdGHv)ioRlC6Uf5@j?i@zu7O_p2s}1L1SoY4FixRbuo?zY2T( z>mm)-Km3L`Rt_D&*An?(hUMQP9=x}=OfT$+483b`)H7WVADAA&)w+p-sPISmn-3#b z7GLvAuy4^TXFK@ewf|7eZ{K-BJ6qw9cNXr%PT{U0(aWa$!?Ed+xsn^6(&a=+@UQ>< z@6^9@{ms2J+hjG{M6*tby+A~XLndtwbob4=k{m0fWtL{0(rlhTZ02E3ZIvd318u<> zrrHu)ghFF(-n#GS`@e^QL6*nfaVTcr*}rjaZ^v52?miftLPTw2WKr3fHibi>9x*P!{m4_GP8u?#Hu7Mn4#E3kOeyk`!~e= z4j7qMXdPl~JR*lgADukF_e^+DH@*yF-OxwvlcKs3Y0F(3;70=Uz;p%Sq{Gq_k|^Uj;L}Z&d8yz@cu0Pc{z9_NH*}{KNV~j+r!LbCmV=NBQAlYOu?*ewGii8-Ops$(FJ-{yH7v& z5;#0>!|Kb-!lm>`Vof%MrlVfluh>honPyb>ZJJrVAIE9EY_+M?y{TqysJQ`Du42)b z-Cz=Aq>aaros{b`HE0;A8G>&lQl(*!-+NpWA`0ev=8EH+2&>1d_xr;y)18pWhXO{A z9$8QkD1>Ki_ctHIi>*y3!@-#W0|`HoQ=5Gy)17dN7zBlzoY*12Nrm2#I+kou7BT2_c31;>D|EnP{9CBCH+hD4j~wYJmk@Cu0xvHNps}G= zKrd{^>@}Q{YD6M9a4MYV~lCR`*ZqsxsQ67;!vT-*b~(qW)7dQ2#E{fGUQ-|Yn=t5;?g7YoO)zV zPW+BQ;l(LO)x=r>oFikn1Sl8Pel*MEm*_6$UsNUelmvS8 z5BW`k*=s)}r%ThbmsfIfEzsuVY>NcNmQY`$VeWM;p-=9)k z`a=T-eUbSNK*FF$pY%G##Gmw{Z^+RF^8GBcvRA}NA-oXlA#!#=6mP95{d#CZqbCjW zUMpG99h@e}ZW2R@7ft_qD5KlI_JP_V?;9fbDTVfH{C2RM9$ zhy>`+(KmhRumK*jNfS_sDADu%$itm_A>QV*v@Aq}3Q~+_Z#YC;oam)a^Dg18 zrT$XtA2+q%=M%6jg*B_YZPrI?d7{dCDGLj~*p^y`TX}=pNH?Og4@C6RyqX!V-6Z=Y zrDYe773iOR%tt>@J5b)}F8;`aja?t5GS*#kTS3s_Zn&*LkKBgv<~Bs@x4B}iY_F=) zb3#+}(%bSvXZ4pd6EHIC&*U{?+h%ve?bN$HPniyrM?1&eP!QiJBF+*y^W{S54}OIF z!18Y9X8z#s7Gl6bS4;|(lq;7tciSXy8fxs6oU7E_$l~+CF(v53EX0v|ncO5Jt$GTl zq+Tgm7xN-$L1&-Tm~jvt4KD_WWMBeBtH^aGrkpbJowZH?q%M%jB^vaF1JpcgkwqVCk7~U-CpN)?gYXJZ6rbqYd+uz|QT0 z-*jZtmUOS8!j!{UYucVPemtr94tG$grCVJ=bU>gW1`rKG&r&8nZU$u$hZ~ z)F)z__&s)vveJ>y9^c=L(K3E|%pzs4Tx0dPNP2vu^f>VUrjulgel9*(k-^hJNiNR*&&!htL&HM)0!E5SxQ?nGzIiZ_vAMA0*`>F%N+3nZXahwRu6)CKYA>5dV9v*T+>q$ zLVVcku*Gx3N52e>XwRtZd%T^;L;xQZKKexnqX_1&J;RrLYb?wH3QrU|Du&A47k|Ca zXP8ceoAZ)O*Y<%!B*D>pvb5)0z@0r~WJTsXMA;Jgz6;olUN)%ev)?1A`ixg7Bnq1# zIW!EK8a;WQ2CuV7uT2OP;CvCy=#oh*?54yJj_bx+S?q?op%=>Tu00|nT=lLc6N1;X zG)F19HMpP#!8y2~2Jr^C;Ei0`61jW*QsxQb!|*$-Pykw;NbO{Ik(_eVAwdaR-4q@{ ziV9Wmf_$hU4UJHu8FTZ`8@>5gOX;g+`@7;UtY&7V;c6BiTDGk^tIeCW)Rkz)m|*!q ziR9Oq&e8P`V~#^k_oX0}BIIG)1Y#BasYmOVG8`fE1oi#;YpmhTpbjxoT1qVyO!E<$ zx#BI9;1KgI6+T$OJQptWPj{S91t^sXGLEZNzm!27Uok{QXp5zRLb7~B<$a(K+T#b( zALy&mJ?RAhta0Xe8UwZu;=_8<)8*F1ZQ2Lq-P=M=ZtAFLh0IMjo)+33zeHAl-e@&t z2-zOl5j<*VQu`)1@~FavR#QfU3c;TJ zz&JvwU&U@w^UqFDNdoeD@RTfwYz;*|s|@tAI|~$UXeXqxr9FHgd>dH zZ&hW)90v;9SuHQ8Wod_%YL&-HD+PrK&FnSuS#&}*GeRrCccB30H&5m9g-G@lJm7oZ zkncsa!=vP3hF2a&vd`nkTos05CZ{ylD0TmwwjOdLVcy5?Y0Eg9hiS?aG?_o{9uYi5 za~)D2>)tThC#(Y?8L<&nbfRJjuST+ifDJr6KZk;XhXt7#pPJ``rHkJ%dIjlT#q0;7 zXXQY)d5zDobC2GhMoP%K%UNQt{d1_3BGfDy%i^^OiR7=CP8~YWkK=A8C z6bib+vFzaKW!r;@p^NNlOXYOA zUYyFVf0;LwQJoSPqa4 zbRh2NSJbx=?5ZiAp{yoOK~Y&W9X2px`67fJ%`3}yW&09CrUvsTdpMDM(E<4UNJeM1 zq%XU`y4lK2awF2;K7VmY-)w}YK_>$K(739|XfyXa{ko!8?*r2%MdO%3V8Sq)t~#qc zk+gELkB4Svv9Mz>MezEnRDUg+vSWBDH80mhYx9s6`N#;~n?@uFkM_fs;zTk%$GCy% zIo3T1Fp{35X<0GpIpSYSrsm*RrRK;>rsf!#OwDncMUe$bZ1-sMKJLRmc8HIAAFXhrtUr-^_#=o_=bNQs!D@C5qd_K_@Hz)6H6du3%x66L5W@%mtQ1|o7453U(yG{ z{_{YI!x7VPu3#{b2vmxYc&HKvJjfU0KNO+FP8dzgP$(oG`&Yt2#Q&k1mD~Z+th8sf zCbS_~#}qqZnnIk@X-7U$R&zsUK!6T^MF%|+fR~}0$-%>`uIbp0?Q?t zieRN~d{$Lj5FFDt2a_*F`W&5dsq$GwAoIRn_?cYmJCEshW^jj@);FHuFjSln4vbEKUY{<3!B>2MJ+rncY8Nme$sn;&=MVq!on!BgUNSqC2{ zf!Mo6GM?b2<;X5>==ED^mcw;{UOM%=ya@)(PruC&nEx}(O_<_YRFEZI?liv#?PF|? zRau`~XnpQm{DfA?SN1^)SYMgJv-o0n9ahSDAWW5gRwU?WMZiw1bH+Fdn6qh)Zs%|< z^5q}Vi7aXC{J!#^Hzdpdo2cpLa3Q@)rvjHGTM_rx_WH~v{(h{MQR zvcyx$F%>hqM2_9Ai@r1j=CXTgraNW?HBZSDhgic|T8%D0n6~*S)&$85{SX#~Z>+q= zUwTpSN<5+7G9L!PFeHSrk?C*6exeq{`xfzoiP4YyMd_5cLLYlnj1%BO=Hq#0ozY?) zeJxdmh*_dX#!sZj@k$!Pz2M^*uBi$6RCGSBH@mfa#oDw_(mes$uNGdzBdc9$^uJW2 zOta~rQ8n}%C?I|EM}luTiMI99EkdLmBN_Ed;>XKwM>~Mu5ek>tB~va=sRW{zr<)Jo z&*v=EARF{qkYId1!gPQ1>U03v393G?0YpBFJC8_Rn;^*^1X=K&5+ODQ6<02knJ${A2V!(XmzZsO;S-16dAhokf z9#A{$HtS=9tdC{#W9_Uv`o0sdl$}-OtA9_clhhW{;Mb!S$Xm9V?e)psvXMgOKfxgE zmOpbHe3YH?EEjYxG)3($DgQ{S{12u4-zZP9Myr@s_f0m`aXYK-Xlog?#4XmRrVE;-jvuYZeOPMh(|Ws9LBXA#bYV3Qs8fJ~j| z&_Dcy5Z9xQ*}P+aRYjH_()>eDHd1gL|e`DBCMK|f~3pS z%(r01MA_t{`G!g4HGy(pPKdBMc~&CN1s}L+Byq zT&&{6Iy4=}SM6yGzwlq(ZQg~PTeocQN9tuqtB2`@`_MsQY=Pf{dHb$D;_f8EN!CU2 z2{YfN5Y}XojK4xJ5Pwqmamf9%e#I@^Lekzs2+SN|$X#&YvTUR_SuDmD2%o{oBgg{! z%j>V-^z(=JC35G}BoV%a9>~FQF!Y8vG?w925xkH`y?Xc_3~a|FYo1QcvTJ9Ce)FS8 zink90@LS2LlAU)GQ~nCk!v0z6*QQ0Fa49XM6xXfUF=o<2AVe+-AHf7vQ`ZFLI%Wf0bWDw?t4G9J-!U z%x1oa-4n}uu{=TnlJVk~Vm_so`JlcVTmEAt#ZpI@(9jYK!SiAc!N$Tzhpw0bL;H{F zi;0s2RaKW?Lwh35D)NVKaZXmNfR`M#bONRMZ zHOxQh_|VA^{Slv2n*EvCK(okERz~!k_=D05XY_Kr`Tnygl&!hFj=5E5MeZ$MFs)nl z;@qpCo@91OgN_OI50bXp*)wc4%@+mCkMslemWjDR>vc)~{s%jV$aP zx)I)=?ASNu%)eeY46EZ?f+NE?a}P6Ta5?!j(ltu1tpw^UK5`j-N(|87m>J*cQM?h{BYopVqQ24%H$x{N8?yiHX-&HOL<4Xi^hpb1XHXIxNL9qT87~vmO$6sTO4^3rq4s+E zlxS*Q2fkd(xktGoJj6Kiq8X1#VOE9mqYPCLM3Zgit2snZ1j0!j2vU#WaT!aJ?VkoZ z>ubFu)w*^5Qr2QC#b)B5Hw~ptKXf{H;N(69o~ip3e5USGD`njegwPAvBML&X4p0y( zMTS@)nyniah$f#UVHEmO!KgVkb!zmVwPy2e3^Te;^cI$u#mM-Y9loqXl++Vo8bXtm zIMQ7AM};eM_g@Y48l7f=EV|Kcy*$86VK7chsv(evi7wVOZc#{}|9fJ-&K|l{X4FH5 z2fgg|5K`^-_(gi8RGK|c)N`~HXT{Aw2ok#|#};~%$?rTYi`yNP!`u8G#p3N2k(vCM z;F=S7Tv_Q2IvtH()@!z}fJRJ8`hwT#(Wh)gJJtyWf>vZ@5eiGm?_$N(Tq1iXJg=9T znRi;vt=YW@vmzI_&vDvpLx!}?$s%s(1xgc)r|dF>VC`6B%;}=7&^p9sPzLwI4kY0f zF<3C)ZArOOXS|I5vSerbh_L9hszXA6LHz8H0|`CE-aSI<@PV>pp^s(cllz-Ko_137 zoW*wt8C7I_QhV6uve}lMW9D&Uz5rZ{V`?`hu$HcfP6dTHUu8Mw;B{G?h|bG2cl@43 zGxix7UoK>+nNnBT!BrQb6Zq&VqTZBF-xo}epJ_hC+Q4J%ljAufx-u(1!pL};3gISq zB%@Vo;sn&ZUfc@IE?Q)b8}UxT5#~2E1OAqPpDH|97SZw@O%S;fm2~fGNNm4KUhC2; znVlmi1KMCcN893h8A!&U%b zjV$aA4kefTxb^>LJH)frljNR+(`Ix2erd_IBg5 z*mo%xh;FnX@0fs4fxj#fT;4N>s1)h(JOzV3`l=ofR2`6x_!4^*@D;}*MmXH*j{s`3ldXRF0g0pAj-$5@ytYPY&6SYjs7RU z6&pFWj}l~yf`lnv1Y)tWV_mOk-;}RjKff(70)Q+l8$T0FRehTUAQxVFJb*|X8b?o$ zx0hkg0Zw`g62VK%e_w9F$=L(oWb7&6M653NGYb}w1*ojx&Y*yCo6ff)q3)vdScYb-Ym=hyY=vH>tTcS@EPmjE!IOhcPaUV^{_%7 zGIc6O0%t^3|2zz))JI3u5YJUr=Q?@vuJt6(dIHCkz1Mm&$a=DnCz{pvzrkEg!y=w! zSWn)OC+ceh&gbZK&R2+{PRnIrqbh?E08X3u^P;b@meyJ;p&a`UT@}LN?}G7Z!g$sE zwV>4K+!8L)3?-tW41{{oxl2vNxx6sCC`m4^HP&4b>mFTj)PzZ*qlTMX^Ago*LznAf z>$*a&&z9?`v50FLpJ6rdsC9RKvT?b4&77EQ96;r6xOMjsck(HR+#1H?+?ub1)b&$x z-C+59PN^>;z=p-q$GwrfT(1|hCw3A9L+m%hhZCVZG`GW( zx^7Y2{$8;q|B4sObKN*J;MGI&iY#s618JeRQ4C{wAnwMbKp`OrUpiepVC!#XPE^ZU z)uoZEu04ikzan-e52Y{W4pv9`v&W|L$h}~I7GV+kQNSZ|!y=*=FD7>1Qn=OIK89#3 z-mFJ_E-%Ttplqb~`!Qg(ng8{@V+rH$vMq2i28H>Y#>%WiKa(v%OgxlRM(5aF*ufQW z+T5Jaq5FAStIHsudULQI7`4 zg;T-0gLIpJn&iJVKl~((r$b6P0ESr3&M$F z6(~0m@NufXfrSKpRXSSHrpW=Va4Lv&K24~w&8-A{42}yJ(HiNKvD;&8Pvri#6WhyP z8YEbI6B0m*;KZgMtSyy~!2@}#B~5r9xR;r+C9Q`M6dUC(y?DF%-Faeqz+4;5wZU9R zZ%Jm2^jxp(#*K^~C61I5Ws2@|jm%Q4X zE!;&fbKzvI&DmPm92!b~wII$vn4@hvxvl4hNZu`+*-vW5PcZtgY^hDjrR4mZ5xES8 zF?5malQHJE@92~9Tv(MztYe+ls)Ipx(A)mnUU{$rM+eM{kS!^Ztz5Iy2hvhM^(F`&{Vb>=reJm7W;D%kk0h@mU9IR-?{&k`Qgd@h$uYdg&i))3I+0@N z115ihCXzW~$q#!w`C+SF#E(`MUJ~R{0&KiW1PqUg>!1B+U8tAMB%YLyU_e9a)Oo~- z<^#>MO0MrJ(V{&}@Jlv#rp;U59-1g(PIgm;x!5NPG_C$qUb7SxliEWwwGAJiX6%^M zsmKpDxf@HVOQN-~`iTvRm*{3o@C>;n9z;uUqFjB!RcL~zZBSZ#^w5Lxmi1`}sf@Ns z&Bz#?o`#umyQkrdLv1!&Cd%_Ae9F_4>DKE1ORkI+4k4$Tq`0W?+`-}UQ=`?@@Iz$D z`Z85)j#DV_^SLf-Uw#^y!fWFVQc|rxlc(zv9H6mXJR(=I zxOAF7Udt&2F6dNh2p&Y_0kPFXS>~0n>Ns@DsoDJT1d&L#a%rVJm8lXUtAZ+5A_t^K za7S5taCErW9-6=IzzZ+gN}0USV3~rL=&L0gT1D;QW90Wh>e0iAWGQ{)kEmV|25lUD zfFq(sN3s)I9b`p9rYn%@UyRdR^>11XfnVY!k^QO90bv!Aff=4d`sFQb#d(^x#yzQe zr`1iSxV^jV=-Ry&8xMWI1p1z{a52EHkl9VGN-G0WRiA^gp7vi#-otQ_x-PNeb+d<{ zE%y@4!PrX7X^&wVM>f(pSrF_&+^W+sphGS_!W`B&NORXWnadsVBDJvba}Hs_%F6$s zndCc81e0fW^z0qGrS@$GQ&Zc_UpE}0+~EE)*Rg@Jwn;6)Z>sDg!TBohW6(E4RHMO* zXULf&cWkuanKNu4xZpWuEx}RdcNeE7*}PJ|Ki7dua-xz|#m6Y$hWK!0x*E^2VtQpL zEdbTr*7@xw)m)xvL5jqF@dqg z2X6%CunH{h30ID=MXIy#!miL z#KIuuYSs&hUVk_^(#Y6w`5+si@+P&_HLc8~Ir#u{=nkHyZMc2J82&hN!gI46+J+CZ zs_ld4=5Uc+ogptrQ_e+B7%s=ghpMbc>iM`N93T-EpcYV&DD5YyB+qBKNtqAoR$#$m zYLE~_vuAq+-9TU|hF4G!ct+BTGzPj#dYbjn%Hogew%oOhjMRvCw| zF4<i88qim2+ zA8;|j3c7PPXo~Po-EF?}ZRTK<_z(>T2Dl;-a3^5}-1#8oh&0ul%Ap8dK){`ZqB2si zl5R)@+@X$;AE_7YMtlYKLHXc1m1&+uludAz3b=EQ;alr9I>~1-im*;{0-@bEd@Hyr zFno9N<1%kyEE0_8d}SeBKFVAKMpOPu@&c0fx*SZdRZO08%k*08u8HdeIU+IK1-QKE z92WVEF31|?mjs1Hh908sn!krU09qu$N}v2l#YVGy1NtacYhIgZi%cj?nb#;^0jWSX zhda^U604b+O_)D|D8Ry=sLJBniyGyTmUyAE}EhlZXH?@zOGLn6Zz(?CUYD$gudqxoO1cHcf}3flVva(x9z zAd<)pY=+3Z;r9y3i6&0^aF5ZdPCd7$XH!~mTJpoHNo~Vt6CyYKULsD@fdL;Vze&E3 z$o*oI1NgJrDb_0qGdN?fyI(9J)I*ktCE69uK=~HF-(hA~VqG1BNFf?;BKNUYWvg*T zBKJ-88UwHo!RmVDD4J_j&23e(!NVfuU}>{DYi{0Ia!ghJom759tN#hDnI77;qFBWY z?!AqnC&RtzAwpH}aK{JB$>-qGX%LM3Rr9I1d_%hYHLJ_KN)uuPQU@Q`m-zol>ADO7 zrD6vOgV@cMyrq9&Bxda>W#-a@<5A$&03<3uNl@eN$M8l7tYYQBDZ#i&EmQuOp#eeV zG`avo*-hFxzJ$9W^q4@7W^U|Jwe`wO9|i#qGT*+4y`+kntcKpy=zB~?-{9R@dO~MJ z_>go>R^7 zr7R0QW$9oXAaYRx3Z8WA4-)QADL? zPWuqh*da21)!pQJq}G9SiXDhx1w}N`PY?uHrMiTiS$&q;#G@uCK#CsVAP@(QRL*n3 zm5|Gqi2!xRzVnYIUV4{iqK*lkbql!o5h$v#g=7$wCQkA?mO^&G?cqJojLfu|n?4of z7(C~$jOgk_+#bClt!&?#O&0og3;ITKE@mwV0VF;Fj%W5Be`VdFbyTizTKU?H_xM6J z(GkE;b?p^jpo(T+C-M9MJLEo@FSK#e25+jO|5GYgMFN5Sgc?(PaPcm@z!pxH?9Jx1 zh2WXi*dRbon3=ZXCdeT8O^-H@97Xug;(m|}xA!!*TESoYjc+;i=(V^Qe%Y2*6whtU z#I7R)R)&0_MJiB~C(%IzYu_gYy@q2JCz%Aq_81q0oHdtB)qd7QsJ3}{0daB^{eRrO z4R}=5wfH^B%s?Os6BINm$Y_E_5sd{k7_2im(Gwfm*sC?PsJW%mSZzxsk=XJPoKP9Z zwDcBl?Y;W1f7{#I-d=0(Z58k<2?7B>_^>J#t3g{m<7kW80)CPAx7I#q=FDV*_TKwG z&-=W2p2<09f3Cgu+H0@9_S$O`u;S9CSCL{76VgTKQqy>*>b<3;>)qP+{oPwT&avu0 zY(M{&i-xK>yqyj?H)MC6U)z3a{Lu9Fsp+H44cU_<=xBmEj!66Eiuj?&Z}HEb)&AE* zy{j=vJ^xHb_0WZZ^zn_T-t`jar3la+7;W}8_FRtn`F8tP_h7!9AXkWbu~L-Vyvz{o?b za{RutDKU4otghPaw%NKaX^lQA(^GtK%Iql}qd64V=1Ye(z5So0h^-blMBnphm}JQ< zb19{S6=%<9%DKi?<%DP=z)>bn{Mq-_3p5*}8{{Hw)V(ts*NZ&MjO1&q>hCzQan; zny@-VC3}X*a$Dj9#SQ58aa6XYJtqIomVY%-jCZ*8EV%y*ASrp91#Du$cTuCzLTJ^K z6|7~x&p(npPLec(F1SHnSmkMIzVGH+G9BS$x?M7TfqxmR-W68WZd{)*qPYN)8#>K3 zkSvl}MBu*&w6$cKFhN}Kp zPxYt<|Db&?ePMqC^u8TBZ6I;Q+Mbp4T33AVkoe=V`qJU5zQh%`)3J5QjRfsF@cXF$ zxx{5_qANd`iC7=H=~yJ`8NFLp)rnwDWr!-eJXgNs8q%h<$&L9G6zXy^x+O!{@f=i@P$xD0IQs}N|)$fu|J^gyD>T&#H zN1xssE!{aMap`SqqeI)Ih+y)vHR*L6NP!<75&u%pT3^(^J<1C49VuylEYY#1A^BP? z@v!J)x2*aS|G||H?|cjhx3y3H|G2fXx=NkNfBc}I9qNvOfWy&>DhOCH_swn1^(vXoI`Oe&WF= z_(!qQuTAwELpPtK-?vF_d)AKwzLe-ZqG*$&#CD7RK9<}O>xn4EU6^dT%}`uS2yl)P zVDXHteW~N2}*XH0OT0fMBkQ-tk z>XEZP4l+*oc_Cz^{)`;yw50w1kJXAPIB6V{*Mb|J7Cd6CHh;^^WUpnW-r_rv=GvEC zA{bI6vzn<}_aw_$aX5()v+uxO_5*q*e&XaqLw&X%MubSn|A=%33?6mQNfg20!%Jr9 zqF$n6Lj%c!q5E&WsedEZp7;Oerj0zs{&bQew*Lttdb74s{x2r@{=dAPV9TN zIP^gG`d%_wJ>R=;gFKXi`VVIzD|<2N#2I~=azgSsca1aprm2OA5)dm z`*P4m4q~e5y+h#Q?s3M}Imug(4Hh>fUydbibEvXCvMz@rdzXykz`9c7zu(2#s$4_lf6S(g&Ut^sF(Ob4~sllpK;2gv|u_Cv0a`y>~f>8H)OtQeHfW>;&vN-7i zk4-%R>%s)zpiVJZ|5V3I02JyjCw+X`n#G~`AOcLXVGTkGQ%KRWHL14=XsBm(dz&CO zikYeDXDf687oTd6a&LjIs+&Xq)XM}s+ezCPx?o3luiR~3+YoB_9iRda(29mjP$}+9 z=Okw)Fhe+jo(!!L1=O4qe$x{mK|{|!7CC8Cd!>VC>}g2$HHZt=M}(4-&mY)>KY+zJ z7D*m#;NF`f;y-yk!YIv}xD13;~0 zX=E;sqIDZBf&*^!8rZj)EA@oB&=D@P@Tsq_T8{JqoI2>Xu@*?Em}rOHh$k73sZjeL&~ z9k2hyi;mZXyl?~Z-#1=m1f1%OfKa@iGDaE&sS}8FXg)QG_XE!(3x4{t9$u` zkICw;xg&?wUFKzV`%`}vvJ_V5gXDF99w0=ShhcS1J!|v$93dGd_f*FpQa_Lk^#?*X zKhI0@inSRI_jU|9lS#MzT!+2QT`TtlWO&>5f6dazg1e!QIqb?hGm8IHg5QocG8&;8 zWo)gYRrrF3v3(?L(xE2__gFkJ!#OCl!GAzx3oezJv0r!?ugH-I8-{yr1Qp7&;#aTX z<;7G&*jYV0{g;7@7f0eUbGrUgaF}PQNIA@JT@Eubhr{3{PYhzS9OfHv z7)_fR6zm?J!)z|ZVGu?9hQqjg#c&znH~t+G>*X+7R}P11&fzd`x*SI98pdG^M^O$# z=~)h=#pZIDh~Y4ID2JKbrK=#9!K9VJY&Mcx#|WgOtYz&Fv!qkQ6lsrc&X5j9cS<_2 zNnBzE*B=jGxwP8Su?NSW%^l9DXJ9EYSW9h&t$dDkGi(LjMwiQ14luBFaGXn=4vsVB zCCgVn76G1UrmtTJJ8`G4ED@$&M9VA0mwJYmxXP<6ICb_?`s(>u1>byDzoIwwE@W~GN81yaezK&x5cKn#gGF0RdQpEOuFhlP<+L|8?dhnxhF7sSdSI~cb^k5fdiNIN^0*iu+`Z8riz`+7 zseZ{=Q6rT`Z#lqehh*RCGC4*P^AE&Wda|Lt#hS*oZkroJpFvRFEiGO(0sKf?(OuEp zj-Xu2$P!iVT2tqHqQ9}9YiX!@JHp-vBrN8g>QPt;{bzQJJ zaAc#{7`z!ByED4_2oB6~H9>0pnWBjiCr7DqygGg$B4W9)NQ}8?HFi0&1LG$e6>VV2 zu_6`W(#7YK`cQ0KM4R@s`xhpTM58GlzC;7#?5kzAPU5oBdhU!~G-8cOn=O2!U=4M@ zMkA?7myGxE-jw`hbr;XN(d@394bDk*7Zu3|lLMNuTP`ZzzkBX+_`2TR81MDtyispb zXZy_P%syW$1*$r^{aa}D&~0AFKxmZ_0N(1Y_=iO|G|JX2JZGJ6H&baJl0<8tjgzn^ z7e-6D1;zIk`ZYqMn;UA2qFWkHgKT{1uUSshuzmkKS|=NnVOqx)_KGvK4~E(+WuyN)(j8p& zfIENxLH=V%dXH4-)aM>VMR$n10=gz+mrf zB_;+B#Ppa2t*BlbYFUK0pU$wAuu7auLufNjQ{I}f>(O$buQzc?0FG9XkOSHBD2wjz zt>D}%ACGcmtT%22iU=xpg1&EpiU}%mg0NSXQ~`nlP7qvMf=UP~af0CO5>#O&=koKT z*c{Cns{=b`L`&j>6=z1N-i;X3H|TdFN^&B`vg~vs0yz<-ejImeNyUVVr#{N+v&)>o zA_DE#pmNBUD|fZ3cw{sC#T~WjTBMhPoJzW;X~%TIL#g`5#bNbcM*r+^!o#Otb7$Uvaj#e z;L7k6EMz2Tj246`SzX);7sZ!FeB6Ld_=dfVjT4&b#D-dNYe=72AXLC^We1_5;)Lc_ zc_hartmd>On24@>g*?eThQC6b4*?t4c z!Xs_Z+zM>#xZHkd;)yKgrTApD97oa{f&lmp)S7$H{v+s9RYz^dn>q!3uRYCq@Z6 zqs?;n6>C7Y^7VX&b1#_M-mzzmZFf=oM6UIsk|mY)KVRqyT8~cZW$qe-|NLw zeUw}ETwRo>L^ zD=HLFDcAC>6LhC1@FZKhjAxi{K%Kd=Uk>8@#lSAyE>#mu?W;fvVRlL66i^bYOR~|G2Hd7T+5_uv^PO!#r3~ zI-nrRCJ?}xuM+bWFkcnAy@Y8Pu$2xR_`M`7CW@-!gY@h9-f9;z084}k*uOtTY^U0% zh+D!s$3+8!&;A6$1mWCe&Y}wMU?SC+(WAWMyl+flc6IGy=P@Nau3wI={|LL-^54ml zYpax%f^su7%qp~(10Q14FTyf6?ICdE(&I_{+NYTxcBiMy z=^?ck!a5wzwxI~(aqxvf;?@coReaFiz5vk08hyr|)LjNAOdjYpkG6jo$+Y*j zS(xYwCekZB2>GvUf_4(57YGiR6W16VaD#=obG5RFxY!_~J{g%HLa&HdxOsRIywoBy zgAKt;jSP6(5BH|4%I!~QDsj=$;-Dqsphf)IwYtVs*ySb{hZ~cxWcYZ`U9gFE~khvq|>mBoX${;Ih_rE%N!~mk9Ps0u}Xz?C?FI z-}~Mg8j@ckc#nMd1m|sI^EeT_+kAb&eBHqp#_3NGzl>LQD}pyV&ujFV41Oc$$ReS#bedrF}PfT}$pSl9{E2Xo2N!rl(QDNKnf-qFI&FXuX()9);GzxmHP`oct;7TED zU2y3;UwL`nP79d0EQnKs__WIfO9|&6O03MKOh88JM!?R$k_q?Hv1#ZgIpbi2GAPve zg2qlbbG}j!C|Su_O)~D^if)jr%dBfrN>m^PBE^#^t!Y~GqOPqRT_q?a& z!k*+b5PTpN>-p3WH=DgX8u`JV;%DQsU+)k=-Wn|9DjeDcPr*2*niGxiomlbpHxB)cK@OKap(IBv@9 zxmnX8ZdKg@;!HU!|*t6(qmO5 zIxFn|LbZpseU+Sgn)Oii?TnsK_Ye3;c1(!%EGeo#YwPBqucNH~tereV-TP?5tn-2= zii^1`cwac{yu0}5_)_SB@*ndOOKuK5F!2Wx|3Gl91n~K7^PK!m4W8U#KFhD+3Ar~j zS6Ub}U0NN9CZCP*tP>6xV@TET3)@wIlj;I8$~r4TrsPw+oj21IGxb#SoF3*GdSLRA zJnTEZD=37b(_;<|wU0^Odix7!jK&oRFF)Z0*!G<;%IEJ(ob~!9hDy-pfArc-v!njU zt{ve2_G{RWK&td_j;hIYBDjqdH1;a8QF-}1^PG6Oc}~8BCzUtp5DK!0;K8NlVt5;lhVJN_u{9d+^V_1AA*Q+K0zVI&gGjoF6epQOcd~~( zS4$xESf>a~{w73|Pf1Dk&$PDSz+*V@DBmUj8zynp;xevD?_GL5eCTVuEI&s>#CI}N zk1^7_Hp0Z?HPX9kV}0M!J)~aoY<=JIpydC=wR1~m`{xF(-8tKTneUoyigHBFarNb2 zpsGmd&Mjc<7xm>==+_-v()-Yk{EJ98fEq?qE0%Ef$)Cux1IO8o40O5gvKd@q(#sfp zo--%O_w1W`#Nv4J)1wa!MQ*Xq1Kq-mQj&j2&Y@xy5 z-{9|y`Q@I=sDDS!Woy@7TD@pAtSmZhN7TQ|e`$4RtRCG<&zyHdpXnF>iesb6TmN-X z$hkz`?%_?$?}8XYcbo!hr($^VZhDF)ZAf-!n$)dLiut>%yJ+yW<^a)bKG(?Sz-<4m zI{dHMD&4@xT?C`V?>H%z2oCf!O3F9O|FhQdUl%|9tPRQ@eK(np*pA4|sveLs2ry`kWj2}=a8 zmj7p6F7Z9Xl(Dt7+U=e*^o~gP9=9B0VXz@W130hV2up3*j82Q|WUw2SK%FrEIL}C_ zR_0C{xvm3gszKy7SDH$nV~3c9X~r>J*U@6G>u@7gx0`mdm3gy?0RAOzPr%8)QJ^99 zi3R)lRF7$f$h-Cf_sFiXIEsXucOtyDGGUP`%pQc^d%e|eI>WTlYqOX{CHDpjm3Qq| zu^$#ceDY*Z9{oFfEt_5|AuE183?8D(zv_q;C&B zPyug3jW%sZ2Y$YKi&6b|ypG;=y1JReByEVb)~xE!h$Gyxxx$C+3XuUDmiD*C0Y9Q75y6bU?daYq9LDl;xFcl+sYmkp}#SCwBR4p(A~0`w2@j*ZV%wO z0L3ro8TW-AILGR_s(2w*r;M4g>_fI#AwAt-PdU-&yXIiUIJoCBYhk>8T6=lu0sq3d zU5iFy%n}azZ7fc|M#Q-tD^!y#c`=<^H zC4(>XNR)TV|I5N0guJ$Qw!fc)#-u3cUXk`AlEEW+vdo64d#~L+8{N<2z=$cq+#01Y zD>)9bvM0txx#*J6X#EO#NbGMnNxVyfukmG{_^6CMe2bNrQ9pXiSaN`a3}2>AP05R} zur9YW{BzJHcf1muydrF$_KsjXc}0zVg!5KwSLmBCf;JgDS8>Ok&Txo6Zcj8!qbD32 zcRgp$eQG*}gQdTQ=Zd{@cXcfxY>(lxf9#n-Tv{iB$3KizqnFhr&iZU6P|BI5MDV~v zhEIp>)J@V?9c5MzG6Wm=)DMh<}>dt!$L zrkI_CE&o>gJ=R!I2)i5V*7{o%kp2%@n}h-GtF_c_c6n;-HU&W3+HX(G)=0C|g{B1d z#;t`1tx)X6g|p5vCWSJN|N0)M1@z>p=o9q}pmXj%!rFloP|@{a+Mw6mKd*;gxuocl zu-(!tJ}rRf95Li}ZnHuSgJGO-N_~=UI~srcF?peK8o^Hx%5%_j+fqq$ahAM3h;R)vIcpJx?+V zz9S3|+$u>1`*s37YTze~9FMtrGfGp;)ysaB>HZ2r*p|}^4pXxJJXZG1CfbvkCLP_; zi)=flehz1pg8;A2#q4b_w_g`?`!!)!;*M%dN=^K-I-<|tRM+YAq3T+mO^Ju9YvkGU z&7rxWUma@lzbkSWI9a%GVQ5M>;L6n2i09U6n;H+m+gpk(JjI1>mMM2`{f9Sne5z;W z>5WMoT^?$zKd|J~&=emo-4ZWedD{aW-`B%>%+-$#O?+*QoDZ@>pLwa#Ps*Vio}ZiC z%;kxV80%FxPJ78ypWZ-Fb|kx^t6|@tEov0L{yO(9Qs0ubh9EirsbGdye;bPB4!9@i z_J^Jb^O0&AqBC};F-v^$;+~n)yx=^`Q5XfMMZsBq2G=`c5!qD#=l1GMd$B-**zkb! zbm;!EtBa$nOXNHPHFo?dTb6+ClvQTRsx=LoTmP5#sdJN0&YiYBG^I=MM|&u;Y=p5Y|L*Lx!_f$9(4ke|-_x9Shb`GimdiT9=0JsGm<|F*bhP2;pbTlIgwVM-o6rsIC} z9l=lgp7d0bHP*j53>=fJ(@Dk=5(}5~(;kO@*;`ZMSvsw${>{Y`*_wWW4fJ0s(I5sX zJ%NZ&{Qn?WG$qq1KTiS{PlPK$UkO8BZc+*f#bs&Ul>9KYn>pA@nn7hHok7N)vJSeW z8H5n14mRPt6*36nyLXi%udaNonNQtmK%0Iv%s8 zanR!F_}(IG+D;N6E7z&!kuu`{_Z~P1n~iufF-LY`nZtd9uw!;bg!73OzCmEF!B77} zxR>|_DX|uGwCXXN%Q%#2qd{A>e>u*k7=&Bxi;lqva5Gm^EiF#&!}O<9RweAf`D4jN zxC`l`{W0i1`524V0{%jtKo{GzKyQ}$qE1=(XYUpLhjcP$KC1dKTqeTWun)T8FT@Tj zNM16XL?OHbF7bG)ZT&RBHmeJ}l1pnRxb`e#Xi7)FkWJ`t2 zWvdWlwjl(>WQ}d0)itc{2mrTz5?K+Oy8lgtA{GG=aVuih5F#NHQi~?xnWp5`a-yOJ zuEPW*YX!S@29?V75;*-Q^9F%Ew(9lv&n6odN#Lmj*6#~__fv;2ndLrr9icgDXfviF zyIEGt)yAP!HW*HoN%rJZ%00&S)Ac$1v~&23<_!Cm`p5WDvjv4|bWLPa~{G zBEt6h|7sf6aWcM$vi??nH=QAZd%%~{(*ze8M5LecBpbBF-KS{Ra0d=iT9xw^u=$=JD1%IGF#;4We-f|aUXE^|-@X0v_4r?6J* zuI?5563_xv5!fU_vK56gi2$}(o+aQu0{E(xBZK!ydT9agcbV|8{dJfQBNiJdmZ=o( zj95|Fuy5lYyGDpZu99u5Ew_olgl+oTK9sp}wFPl?isnr9WqQW4r|thbXVmqsZqcf8 zAo^&zO?KH7#D6XbUv@ITGonfEFJE>JmvEoY^EG}PQC@a{pM;MlJY;_sfeEy4e^9P& zn$=R)!6mcHUeW{TTb#`egz5Cz_A*Y0(5GB7n-}dKTpt#}VB+99$Gqvx%Z|3Mv*h4< zXw_=)1HAyJ{Y;~&T{Cz5@cs1hj4oCM+Jy+jG&WiOe@a;k(5LLu*HgLdkp}-5lSY3SB> zDovM1yWTHiG!W6soy$Aw;B{JdR7$mg3IcJQ|>3>iz0GiwDjJ>X9`+OW5zv2zZuh;(0Cl3uJ zTEbn+4r(B$xCp#a1F`34l*;xg=Wyw_RxA_UvDlWexngNxobQAY0ayUd*oEd(Y-j9? zm|8gEC*tcM0mb&&I!&dmX?A1$116?J04V3SL)~KDF21PV41GtuUURTkxAg5>Pjs1d zM;Wd@H(yv=lvsXR`kD=bQJKEpLAZ$}53UmffEZF#y^Sb}xIkPiL`z=#qB?zPKbjNC z(`+hO@jI?Jmz;8~Tsj=7TVB^bKE8Zru%lE;-*Vw;|9PIXwSYQ%i75cGl=+7;>*DTOm?oRiAq(IdTCf)}v^!kj}0@+6~=@%|YJ{ z+M2kF|%GS@Id)eHZ zdFp`fR$EUG%Kg#@c34&Yo?MjIQEp-VLMbi5cV+}(kHQ~Y7KT=!y^WvuV?Qh)v?_(@ zxG+?+o8KTlLY|(v&g`rEQe_!9vn4aVr>Rx5??06^i>N^WV zm%q6%bjGI8x6jbfJrf@w&D){*Q_l}e{xijTK0 z{Q8La6s3c$$rq5GXL+eU=l%Ze(7bK@`lXfNWAc$2-cr6tVVy^qrWug9*EFm}(!ap> za^o6t|nsmGWUuafgIe$Viu)~|zd$f#u_i+|7h zp9~XAG{gL0g+5z$03u*qN%a*|%S*BvjAw)_e30kGn%CcY_)&fhcHi{J%3`OJ}X|Q$cg_knc^WQ+O+tYnF~YjO@EwNsOE2}w_uwK*K`~Y6y+z8 z40Y&L0B)blA;+}k>SH9f#>6&A>?DajHLD-6>Vxl2!l&rbybQ|AQ&wqkw5j!Ly$jcP zU<^%(F>Ge^ZrZze$IQp}zPp^a_a~>xwCTN9-`Vu;p6S1m_jk{j{xhDT?kLo}Y3EfV$}Pn;^Hy_GJX%o8I1HZHR_y)%E?V||OEZUQ_7W3Vy}(Zk~_5 zy!GF+G<@Po4h?Tgw>(4C`e3uBZRy|iZl<5tQ1QeT4WA!um1nwT$ENqM+(!7+RtK<7 zQ}bJ!-f7uNojV_UIra0YGZe_w&!=B3vFUj`H|?4CGS6N5{`9=pH|=Tp)22Q1Uj@mN zFVqs|ZzODxbmc!ijy!wjO}$s1ugnYT_bc-ze@DLGZ+VO#sA<{gfmE>is6?mdPkcb0 zI~VVoxhb`0;<57aZcYEDo$pQmq_p5Yh*8czDt&aEPD{%F`B;X3L=LJs1DV(xMKo2uTLiv?MkwWSxd45>Gug$=VlKdPgR8&lxNokxof*58mA#|P6LzOOc>su%{*Tl%U8XUj35`-;=Y%h$fygYxC))@;5G&fXVV z^%rPAdS3ulVek6UyiXfQKJ)a;(OY&;dnQ`7Gkr?KEpr0VX&h84WN{|4n$i3(H4US6g zEZxC2VdJ#N8kv`$YpQ>8@g%7}dg}As8agKsx__fQM@17yr2Mqnd&VV(WbYgATRdAb zpl%O$Q83SHF;ErtyU5@5mv&cPf2<-UnmFnJ66`KjFg$6`1dC||XLLc^Y+U#tiixrc zjo5eI`%o4(5%6=ITB;LpSF;%{IWI;lDtz!u`Ml8vaZ9Yawy1zpcJ!O#hru!W)1 zgU3Q_izmoiC2u#3ecK96AK>4qYSXOpRs>bn#vilgvIkl8kX$%CAN7M+T+By}&{O`} zF+pgE^U^eZ15J+%P5jM`Y$zpyJ>*is`?ig$<&UUMovgu<<=@b_cRyS*YG~qbJ4r5! z@I1NSX#C=>yHN)noSPg-zKzkbl}w>Uko{ds7@BwuRV8;L%zR~N;#Zf*j@qb>tB4)% zDgQDp--w9ib%2YsSHsp3O1*r@-*b|N5kkFR5;!z`8|DHJY){V9k=`62iAQx3zp60)8V3wKv%R7Uj?aW33=+(=K2_>kUCb zklXETq(ERk6X}nAYSEj?maj^!;=h2GT0BIHI)nwds@&}O@etI}({}68tK`PMgHv$- z!Wkq~Q!&)On6P+EN}V-Vv$|~0_zp74kCkuS4lv^Nm{tb6ZW9h7+DzP^J}ep;u32hI z{+lRkaP1UJG>9B+B`#yFe09mHq2(1U|3$y~ezoD8XeMvbTgs|4C8@I2 zl$6Ha>pHapW*C!l2f^P4ZUr@=xxzm;pRCAqw#1U+m}1qN0heP?4~M1V^EOS(=$YMxd%AaG&&soUNcY2+Wz22y0Siji9p-vD5evRV){t?T3x)$c5JqRXr)CZ{g3cFJT{gz^(@&J zWA9&7)5b_$46LLZzC&i+Ii38d_@$1{`ea9msIq=q3D#)XtXV0vO}J}8U(J=pSfYxv z5!qywf3-BULJKxSuY{HEBT^2h_-CDMN}BJMbY@4;{tO>D7k&XYuZy$PE_s83e5nCp z{YD?-?D;ZIb9JT>J9M_{Oz#oGU}Y-nIZUcWXL=VwMrR68*r9i;wUetTT|=z!XZu*A zC^bgav?jB)k!z>JEHg|ug#EedhVK7Ma0K1Z)oVSvAuBQWKDfa;*{1bdiLudN7co5V zQ^n68Hyy(F_eZFVzHnLrmC=P7Sgnd(=4(~$ehYKfSM*%cj9#w0;N)08dc~pMuGuBN zj<;pbOa_a&TxY#6BD@tYmd3xm4BS#FY()F016%}FuaKNrTo$O z-U>|M&^ijgkt$0Xsy0*o&g3>=nJTP-D#c!Ry$Bu(RFuu17-xa{IW2>pMN$?;tAJC| zJ%U(5ve1UtkF474Bzx4?O6gTw#IJ7{ZDsbb(Uy+T%58EU2W#olXVb-{&qi0i9O)u; z{PjrtxS2lX<+{fN1vR5s(K+-x)EPVq3*i? zKv222g0n)H8**%^^jRbp0l7E14aAMD4k)l1wX?d|jpEErb&(VEeCdl*eKa`~!v?Z< zs=(M@Rlm9YxG4WB7*P>*T-D5eZ(NyVBFd(s+E`%OG zUf->JMVb;%N7|2DnbwXgjlW;8-^`xpaCM-{p-l^-vl%Uztv4liaW*M3p&|4@3)W-3 zm5u&haY=K0vbn6Oe%JM5lU9j;TT}hc>&J<)eZ04(q5kpfUp7Nf%aVV}b42P3izv}^ zUfCa*Kj6|c=@i)eiE>w{cs<^3-vm<@jvq=!sxeGIu!F--;yzB~n_3xa>UVhE+|P>* zcTvaj)`ClBW1GJ6+~x+(9ffA}t}kUAEu3|6WoT_Lhmte8$DZItXcAPCDcav()IN4Y zC6(LX=AUfQn?Wr52y>HBcBi&+xW*QhtI@T^WhY6_r#B=kBUDaWc2#>&F%SD?iU=2;!c3jj(tr@@`6Fmc0E=>L-OQtIs2@p$868cqw#NJje|HY z=ZnN<RwH1NQ>`6~wq<(CC|?hj2g9pZYhD zA3yKAw*-B~p`LsB2;I-5f^+VHxyjvqdrKPQuk6Fo8a2S37lyvpN9k{e77h5MxM&FH z1)=A5YjuluqL%x5|I>qRFkUTpRqgJW9(s6N=yKG5U+-`9KfY=gCtS8Ra<7LZ<8-Mh z;(3bM!O(nKJU~`$92%(FLAGpqrYa$UjnTS_xy)|SF6*Qo^u!Y zB8$tL7HpmCA89(2@7YwkfCg?>0i^x@D!?g z&d61tJaW|x9tK9Tu_jTHTl*8}XUD?;G6PFdDp!@L=^s)J=(>^`eUXZ2cQ)KJJ zf+%kns6GaZN;Z}ljs?FKcGg&CK0BSy3i<5TraB=LOvq{)pJ8$`o#Zn)504%;U!q^0 zcu7j+adZ{-WPG;?xV3px_61B5b;Jt*H1#F0eFVGC1^iuk;=8VlH*!sxe1g%nm| z3KQApBMQ^$`ePN=tc59S(Unmyf-{ndi1i*^=67NRSgVuXsH^G7BkdHY+(yAd4sXS?LL@8E2f@`D~2!cSI_~05WStKZIFdPY^)5W|;MI=Z^ zvs;Vo4{%hfgk&X<2MG>uiQwCXyym@Rl)f|Qom%Up6Y6}SZV|jTjMZ55iT2n3!eW>D zY9zkKCx&u-Y?gwg^{D%r?cV{GY>b5V`cbeE zX<59p%*PG7=jTDoRox1GNTEjyCrz@_V=Q*UENalqSV%K4Qtyb$GgB7YYN2HD#^lsh zK3nL9!m@PL0hTN@6dhJ^F%s&4TNL=}t^!;%04|$a#<0U!<66INm z|MvP|Qo;2BRHW+zH8s|LED_@U-(4T%RGnEL46mAyk=6$V=F`tzj=`($`y_)s-^vV~ zF2%R8#MK^^adIDlE-N0ZtEbfa67-N-@cNcx1WKnTBa>zso8IMPbsd#@)+8F>;p?c9 z-7nchg7y?t3;x%(B>?e>jaBOBJSb5UFLg^SqeKazMA=7e;4m+jl_FDNMrE;&D(&#Lsh@caS-oR%ngHe1137O2v)Fq!~u zlV})B<0NhC7V3~j#H!n}ubtV~=Dc2#s|aafi?bN4lrBOFaQo*uqGjr8al53FwQiP{ zTOER8me4BAr?b9c8B-C_RU^wu05adQ!TjA&(D%*a_HUUy3w+i!y@t-3WIk)GV;R_) zU?9$}_P0;qe}L8c?CM~93I9j6SEVB^hhpCg2}CB*>I$rm0!0QT=_zi4(IX_#15~)a!lkYb(-vVQ&(@bZj))|Lqe@Bc4Oe77sws(=F5$xz(4f#6R zDiN1vl`KC)0zeXDU(iCO^P{ycl$4{*a2rsQo_@IGZmYA&UHqOJk+q{t9MrbR#mjig zH}aT<)R4qTURIVCGpvwNAAdusO&d}Ianxls1wtGmP^l8+D^yaK2vny_k{*eq1QHq= zm=&mAakd8QLU(voE_!ch#? z!Lo1^8J=MJ4rMFCUU~_Hy{zMrVK38$iX~w)_-*zr9|Ja;Q#We@!zhvPWDew~mm4WZ z+##reCs=Lv8kzpVDf1`ekr5hkM=0@)ZNidTa#@n*B}XJ-aqpl(hkmZcvPdapP{5P~ zvfzS!DdJ#X6&xyOCe2}AAH}b90OT{9*}2RH*{;T6HcwG?YO*jJ@X;y~56?DV$Jlim z<2M->`BscoeO>Bp(j!KM2^S|wyeYoIye*>0@UmJB8-Vy0FtkK&Y88rWrC$R5=qS$! z3|v2U-K$dVPo<29TrLOt7^95iR_S3;lq`~v8v9?4_p|c=?O!eFb+J@K1S`GM1QG%Z zLt;tE;S3lI&Cjw?E1-x~XfKo#*fu-~o6E3pPm;9EDRFT@dYJj5PC7Y~$KqcBGO%em zqZmD$VBLbE6}OKOT^Q?PHzkmHlyojyq@J4Sx+#*vte%?f6sso*Z&7?D8&6~DPyjKS zH5oZgyU9V0AXpf`wSZ$wnSSb{`QrmPZW8=CNg|mfZPJxalJs4QoQ(EF^_|1`1B?yW zz`Q$lgGY^V*nS;_1$#@JFBx`=h6ZFDYx+EdE;7{E<{;D|<2Dzecsx?HwJ{>|sEKY+ z8W!0obqeXIC_FTEVZq9rt^sO=V(bJZhv~uOy@U#)KkptUk=AXqf zm+{oEh)eHkPfC$BrV|z!HL!f?7=qk2u9gm3wDd&xE8aWSbaV~8$2$_Pc2Y=(E?TY# zGi51siRfu=yn|40ZwlIhPsTuBZZ{L*PFcih@3v%TD`!2PC&UYyj5OraIz8_td0qH3 zI)Kioa8w1%Su!Rn+%6Q(M|5S;(n$hVjyAj%=|tLE2`i9(OkY_b3A%PpmM-87Qmm*> z5FrynUr4jO-<2KXDdV6Dq9&c{?oNY)%uo> zmPgQS({Tc2c7G$;*a{=8OS=l6^2y9D`r!lMMs9)vBKlwavKP!u@#SWS;bbf z{nXKN3Xr{%=O{USO8S?Q!^74+Ido%Szp< zKSDnz*bs42330f7F1HyG`(ziW;R+<}kKD~+#a4FZlMjmWCBzifCk@!?Lq;PKNwAEQ zo~)C-CI!q;U2dJZ@-l4RnO2y_5&fAcJuW|`D!1# zZWIYp*YXeIX>)i~tLb=|W|VlEWcs*N9D<5;^1+dQ6eRR&X4U}`=pfltRA&#x=#AlV zTi{L9$65f|*jOL|nIm@ph?yfFl{sv$8ZmP?n;A^B$z1CdP-3a6d~ONpp5IeoG}Hee1yf5~o*mV9Ur$-AoDzZ?UhN=pFE1*KnEX zBQ+U8R;GNfk`WGLwc0-j8NnYdE+VRT;MciAD@3j8O9f)UeruF77OgFjunT+b7VcDa z+QIv2o_Fzm;@eQdKlS=$|1D^0WIY(I^MwDw6CN>D#yc4`V+BW2p4nB$2B$OP4gF-! zvKL?*Rr>nohjLPDe4u1lw8%8UFSyYRiE7NcoHkl@_6c*`_9d-|eI#E-M4v24>cDmw zZJWF|>-%cXU=3UTn*HlxOg-E2E>0u5@H55bb-yaSvZ@rs!fL2jR4F=MUl42qe59WPoQ@HR~k_T`JlZl^SYffXl3F1}6^uWgS8ER-$)En}DRLq}E<3E;F)G;sGEL z8>Q(xZtWoP1i)Da$jkROd5h1QiCYbuL*bx~HS^1*{u@$|GP2#9~yU5PzOH zuQaXHO|u(Y9H=wWw04pR+@2&}X`0^hO4Eg8Gm%sB=nv5I!OfEgbHL5WgIOR1bs`U{ z5SpcPS0>7$6)4XPTZpb@5e1tqGWfYVL6?#~6V@sYq_z3Kx zpgcG{ha(UElKV51Q2riy@W+q4^59p=E(pmCZbvB3+pm?Dh&-q?laU7%DEd9G84>$v z7pTmzbGyUzf6gSX9nzeY2O}=~c0jpK_@Pc)9(|H_qTx8<73UhB=#b`cyju3cGR3Rz zc$wJ-Ra*Lp^u1D!Q@1vbRZK1-N0KLLc8)x$tw6r)b+#mxA0as!!!?Ixrf7!dJFI*u zx7jf)J@TcXKOWNCe8^u;Q4*LbN9oEsu~I(FyqlF<-2tHd$V2~`P4JCZF($K{;I0tB)5x{F)JPL~)_#JgZXHlj9*N08 zW>$P>cFG7xRZI%|gAdKNwX>~_m~%R*QVaMeV)0B19XM{`G=uISU(OK}5&Ty!tq#kO z@4yjFUXmD@B?*KY_O%}=#K?MvaS!stsS<$#UAB}4x=1)vL=&!`kZO8_lTKksVjhma zDQQg4#3f6BSYvKHXuyq#REC6FoW>jfrJ`S#73^_Sie*J!oW7R=tABWa88_KazTmdIqTV(fiCbpeF4Z!ZHxz-VkgB7-nx=RIpx0;Rj=D!)VX*u?Z=NM#2w7d6xWv^=NJ$v6CQt)a)p~@Wg z5~16xK@?aWzHF6KaGCXu@`YA=Eq*Gq>zfJMA8-i!))MaoCRzv6NSvx4seP;9bW|e^=6pazDW) zoo0x4A`fTRE17LWfR%K~M%kkBKI4(yFz8dY0R>-o=Iv)(9np6RR_0 zv?W(&$WvW%`G?o-n3WN&qZX=jDq%9N{`juvp*V#q4_uI^8TO&46#yGFZEmfrp-n@)mmK_RWg z>=wm+fjW(>7%PexCY6JLVe*ov{ZcSMM<4;G8u`*nm0qRM#DpcCXTv*#DrZ7(HF(n5 zTyZp7ag^3Q2QPxqfC_R(uiH%<)2C!{aPvWQLbroTxACn)bZ8@r>m1KemfNWR#rD7g zl%Dh3vtWewd@3LLx$RLsSF>rye(*+G8 z@5`dW);ETys5lWxjjW!1b^%a$VmT=oO(BH zp(Vo*;xMzgH2q`aq-A8B$eitI`4}0+0xjEzSYGBvHqwWzc`~uXFk^>3IZl5K1E__M5uYhzRkPBpb239RXa2erYbN*vwjk z4N*&aRHq$ft^6~9D|7YO8_7h7xJv=bo5_<$+#fL80#b`J#+m7J#`qsZGRPa_Vd1+) z%jH%sxqF1^LN_W~7oXt1wkyyn^K$vH zz+RNGxfvxmGp(x8^iI?AVbl^yL0;9u zMS;OXDH$d60%HXT0INVt@9L9=13=ZPA-(H0%_W9K!xK?NLHJM}QWHL+uGAgYeDMEU zxd13)CKQpdFR3dUu1^Ig!}VV)-?&GHv}1fCTodwh40D_nt?T~64IN}h#7a0v*dbLi zWaI)jjcXIvB89Ei8YGRm@58Mik6io9A=iBCL^1YRM}AkDx|2i{*-H?xiagPJTtUR&|tnP48VkOEJ z=)oj$>C$`^DqE;iI`~RA!*~`$fSZ?AOO$X(!6YE$)@mmt^MW$dj0yIANU7>g*Wl69 zAf@+6UKMWE3?RV8VouO0E0g+I8@-dI4V?} zLRp&+!cWc;5c*3G148J#4*+Z-FnUJF<^e{=s!N9Pbu;PnqK?nyftSM%q$R;W|H;D- zghP1wfnyV!-vM>`P1{OsYf`UaMxIxnc8$uoq3#Fsn&z_7|0J70GW!*U?xyIkJt9g!~CzCRji_#a)?poXz|tN}J)h&g?( zn{0Fe4w6lFWO}@zq90K&mSvP{W;Ul)&9 z>@OOnmv@gU+y#c&p6j9eD}!qoB^fC4*^SQBLb+QaqIIKl|BjN+K3vJo!Y{ogbKzt` zI1CG0^;2rkz%8Tu;2(yK?mxVk8QpDpqr2Y|1p&4}eKDvn=BPxFFGLLM0VX7^F!29r(n>S0|22LFWw&x-6o1Q2T*!~gY=n?^DI0CB=*C1yc#ZpHcrX^!S ztAu%E8ZR{Y>hr@|^0+zz*7?3OuO-rMr;(ksM5d+@NI{gOjuFo=QW*QDYSs`=Wk`v_ zjn3~2q&_#oBq%(fB(&-~`LLfl9QIHaz@>Sx|CQ7Z>`Q@t=|{l+IJMeniNpoIh2d6KE4#*mcBHnywNH-rKA6?!WN|+yIV2KTlv^M0JU-9njc(I z?0fXeV&9yrihYw?i+vyPyO3K@PWw`^@7w%7{7Uxc#<^jGp7>u}UF`ef!eZZR{C@rA zVqZ<0$#?HH#lE+BZ>603_`O5fSuwx8+Wu+i+X?6!~qIoByXROXwo^hd;=N&%37qu-Q6Yt`vM`d-xv5s3RlqzJ%55W z(X23IBY>tg$m|}x6;II_jS~t3v%=IRzSF#LUKv7Ak`RvIq!^RIMQYw*fGZAl>k)(D z6P_t9Vu~BFI@DM>=yCyJ=|~G$_KXxeLQG~+IuCX4mBG*dPB2lSdN*(TJ+1pz;YFsP zerfRv4@u}*!9FceMnr1P$Qe5euc@>CCRtP;{2+_mKe417v6f~@ygi#(rj|@%ncJ*nLRQD|*(-B;@H97(J1AKk za^%Y$&4K=$F)6EBH-l%R#^Dv?vg2dCchb+V-jgmRywxRW(xFRcS3(_OoiT6&UZxyc z_e2H1VOrT;-9_efcA=h019D9yg}E<;h?JBmFuS}ngYqK=9VL}VcPR@It)Psfi}e$- z@6>9H40a`-?yO!S0~bQc&`_$1rE~@YB6B*$gB208GU+^!!oG``b~NJ{Yk{L(yk?iw zt!5I93ofltg9*%PWRUCmu=#rKMht;mY&lH8F5xOVsdB|2jT^3(1-kF;=B_x+=fE*x5Kc_1}D?`+tB4Kj=rEDi>nFk}S5zAUL zVq~a@-C11|o8{KrYqp9;u?e=<46~C{Y8Qm&#l}|9yK-X+d`Q{$O;5Q*IjmqadIEhn zc;?V^SinlJgr!$HGoU-Yvg`us70#?U@}7v3F1Y!lvtw>1w>13iXWfR&Zcx@X0~I0~ zkdA`o(3EUP+*x=r=`is^J-dP`bL>D&&q6Oc>x)0|k)bbC;OT`6ob43&zIXN*hK@o7 z{^6P75Yl9(P=)Xpe|Lem7AO#6jyVO+J4}INxENsgLO=Zng%B!b&CsX_>v%cp9hPFf&=JMXig%@M}s>~%(pPha;j zb1llrb#{hu9dPz{7H3$FYN5R>$6eP>5bO;AsZgy5Vd|~HS?PZItHr+m;P)!O_}7Yk z|M>M{-@owNhR>e^{HniE?E5Ca_172sezUmP_XfXEN3m}PzpMG(&+p%EDE4jTcRrr( z*YMlR?-M{ap5@R^o^gKX^1g`QPx)n6vDvo*{$hq(6R;ibIp4-t&iOVN^WiK8PBPJ$ zs$m@=J0m_;!L6+Eq_@@b6WO&bCsu5iHTHFqkVlTPw6ZDmqT~=)GqV2k?trr>Rc|BW zC#<#Oq>-Z4F1kbP6ux(uLPT#=3rw}e%g>a``3#E%XREByYoRU(U-!%3PzE-Wq%(c( zvPPfDbzKD^!)pNwL|9rOu+7n+YF*ps*eXdc6|&c&rphfe06g#-&c5a!jkprfJSRCs z{U9efo*-v>jsR2P5q=T#IJi&q*^!!Ct7B~I*WlhW5QxnN564VL;T3Ce$qM^lfnsmN)^-JnY*`q|P%F$>8yaS4YXC3F#? zkxaw;E;Q&+6=^2)-wA~(XS<^&A`D$xkyGMCE}cQfi%o#wgXOSXR0F0VkE5YFfW$gFWrdlY{HTul5!vg1x7;3I1Xa4y5 z2QIOmP- zcphwzT)3(|9lP;N4fby5JVcJB({$1>{K$Frzz<+6KpnB4eB7}iclm~6pLd~-D0A|V z0~s=`GxnM|1LMoncnBX(m~Ffi+)lyDp}oeH%AaAz9#-erRvyMw5TQ!>n{!_M!TXS> z1a{AP^)ZG;2h{z2+&G|jXf)T}T%A0@3&e;CS_g36+@?FmnO~6giV62j;-t!9mS>R) z9C>`92##bTR{Fw|szfg`{v{S=IOZWnr-T=EoFZM>=5RSCOZz{~&gvq~<}$aZWHf{B zwj6XjCc<^XW2&LnHbF?My$EfYK+deRL!LCx(C?R_TPI?*jCuQ2=LmD1{lYF|_}eB7 zB3}hBJ&#K(VpiNhdFJ3kmgr5t>#3fsEv>=?*f(*e37Q*@P-u#S@ zRnj8Z$Vi(5KsG_)!a~H9ZFrfgNOU8*ZPtXM<)0`V8z^EsK@FzO8c;?&jrpvV2#iht z^I__&)H=^IrGj(8fUt8a>szkA(P@ht9O!dvaf)wF1h%FBo&K#Z>QFbxw4#DEk|Pln z%_P@*tXc)i+&<;}*?=Z{K}vl{r3&9t5f+8E#=y!{SlmRc6kw)IZI#t&KZGqA zO>CB!yGSmbPkV{E+r(T-w>NWN0gp??&`sAlH)d-pUe39c>Pv+{WYN(q@{QCh_nwv8g%eC^_Lt}S(rLPK4`;(Dcf>Jrg17g_o(4xU#BJn5)IdO4>4DGVDVC?a$c z@tozVv(rzQ6IX2VMFl#OgA;T4$y;e@t^JUboH>aDTAtD*y3W4S6YVWc?8kB{C;4j8 z_1o8GbF5U;ILeH9_^+HO12$&@taU{Yw{r*Vqjr8c16xb3qhM3=mdI?+d&Kh|%e*^v7zoi| z1n+)O^@fqobf**up;cyZqmVcudX%ydVw&wAZ_CmVBSc2Vf(Us9Rc7LeB_^mRhTMoP zu|DJv1AHx`Kv8cg7;USDJ}DE{oC!0ttu&@=5L z(4*N4Ho(QqVbG+IfoSO*efJWLn_oNH{b=(hTjc#{@qV=G$CfT(&hqDc-fF(gr?sU^ z=s^B7n(r?Ca=w+dW!adK9D9&v-KoY5JDtHgGb_Qu`Y^?TS%gVl5qDm4Ru?zYr>x9W zzZF*fmfVgaoINcnm=?ztjYXSipjwD~QsPtvBi_3}1PcI$fM}P%m-u@6uP0a+Kt1jm zC1bF7J3Z;)M>?6V3GqG!RP;<4|*288In%{uy57Pk77L1JMpKUAH z0QKoe13D{w?K(S!tz>hBK;B|M_RxnzYw}qesS4SStI@K5n-$G!9+ko`p1pUpC3HqwTfqq_L(5K~q4w{Xl zA#5tu7dKR9_?_Z+7?9%HU!mk#BhbpiL!MHO z$00de0XYs!ULy%@;P9XlO|!N^4z;V4yHyGxx>e*}VH7E&o|5Iomqawc0fD%htzq6& zErGbaQr-wp^t89uv=;=J_TrgL{3x|w0&vDHfe`_8WOR&Iq_(RMTPZj_MY^w5F@m^O zVc)pKFlE?u`h|hS{}*zWeHM#CRQ*3r3V8+)2Yhvzl>Hy*LxAmb<)Ki)3#Pk`QKrxY7vS zaQI)72ul9>uSQU-v2W!KX9L#@in+n!bdt2nN^_Z_*c9mGGo4XG3Rdk@6i#n5xm*NJ zmxR=kt+Fy(WmTriV|X*HYuIjxvme4h%RBxmR+wRsqXe4ayN(9z5yAoAouOS;=1}Eb zl1n?G9h?a7+`UC<@rEg)j|vO5=v)@Dzy5$Y$#AFduL$s&iAY>BwB)fCr*8@|J~mDr zsjG=Pb!#acsu@t^*st~Ka@BG0X53b0r=TpcW%zj>LTF8e(bQFBG{FHU16fB#fY9w-Cbk2Yhv3z6zzj{~zBVjR0x(q_%<_KJ{DAbV}35-bK7`VkD%9nMIiK8vLP!eQ2 zsU<`j2BLBB;B6Oy1@YY`Sr%Cd^1&+P_F3(^McJD;B3dXMRONj7l=N<|IPEqL_9?e4RoqkTPZ+CDQ6*Y?{7V#*C=B zS+8Ym_65yLCYgb0lt4?wxQ+p6i~t#_J4upSMIOpCNipDhT=a@nKs$Usp=-abtIA~Q*q^fkU)fs^4MUf>ZaB5eurk5GV zai(6!tmE|y>=gONBRUz2vzJ=1Hj`QSK1gk*hzw#*n7ZBBL715>$Z=-hEVVILo~91U zEqBb*8DeIShMu+uKsnfxh2s)+P;Gf*4O&To3Dnqiij`BG>N4pf>Nyp+Uuvn?jQLeW z$`uFp^8*#q#7t7-WYwEgKq%9sWfgEc>@P9vX-P{@1%GjmtoS+BeHXxaUakz@qcM^) zr%h6CcXgMhcKjq{>C0Mx=Y;=|hRtE&3OC&?TLkT_FlAwbaq0}fDOl&XWEo?^tQ z78tNfsq9%xeL2%~Achqk!DR?zdnTArisMPx! zml8uw)YTQ0I<#@Ag81UTL`)1mHT1_*25cF)69@_cTYRu@BDTlDPDX5azX)daIC?k) zUIU|tvkwX*wu(qF`2JTUVl(%0%5Xz0G@NspB1G#A;}Hs*F(A8oUX46(u>MB04Oxl_ zg^_@7ZYplCy&P{#mgPXoTSLfv(D5BNv^&%)oMVsWuv)1Eb^FTNh7q9hH!pMVM!5~=~e+`}*@2G+?&_a`+gw-Dt} z+H7J10hlLdE2ilGbGX1j;gfa>A{qq@a2m}ENaqtX+n$!LsS3bF*0ml{30e_WQkPHe zgvIE3N^&(7Z(vFm3UhHaVzqrbWavocq!3BiNnzhFOzX9l?cprZRBVUd$+4zX^^1EM zk51Xrqu+2%cy?69-RrH}#4c9Oj@t8=nzhgyaI!!r&tK-CXgTalgz8bJIqHQ*a^|*r zEGlzb1CN>D6#NrggY8(!3{ni%;4<^}+CfC(=m{2)|dN0NlPF-@%()W;N zBSE&nMrWUw@dr9g%Y-j{2Ho0Q>sZRuK)7m#P_*2Bcqm*+zxltO+ipQ+1P5b5#}_Jf zU0YDh3I}>o4)ay=bD`b{j2Pp-6l9#28$`rqxZyx}b0H|y0VR24TH|K@1nHKrbksGg z?4)Z>Fj=gaEwf%=#nEBa&^Of13uVMQ?;FSaUGBoIPD9c+b5DH{eRZ}cRU($%%heN_ zQ1v>byI4sW9cGI-%Zm0;gOyuy;Bs&$FSmqJ+2q~jBGKwoS(QL#tKS7MkwyiQMb-Kn zw=_t)Wn5@2(2oj+ye&SwCq1J#DC?RPS0vBKD#uIl+nbCd%wBa^Y$hfK0#kZf7fH`{^R+$+EafpgNv4|2FyOsdf}vo^{tY8#C+2O& zWHbx@00(t!^*dzTUZB=>)0l6&4^pW<*U?b_9yQ53segBEbSDnJgu+v4Ac(hO3Y|6v zo2sGN&RJK`;Gn>+fX+U%bn0$!o0Hz}5 z`e2Wl_Mot>C7p{pEUYu!4Lz2tFB?QnVC-JD&s>D}(YPH?8)?SG`(z z^JF8gC7D4wlWBFz`oP}*rm|ksxL~1r1%d{LGe>$?Z>a0&F95SlCwnm@k?818i|3+~ zB~Yk>IxxrRk5hZIZCHFTs%>BkFEPnGX$wzW=Gwx2yQ(W`pz0B0ttU3!opXtU`jz%j zXts0K6TPZV)(j+%Cc_S_fyo?iNHMAv?_!-gyTq4GT_=N6%r)y=WiMNT`31dlhP5kU zFr#QDa*`VwW3~o^lsT<K*S1pjW31 zrgEZPXEk@CIqO8RZjz91tiM=sCYjT~fMVoMq4*~NKh+Ae>uw*A+jA$?3Jp|$Ugh0p zjUu8Nrr8?^|* z0(s$H;Tt%$6|V_`vi$C9AhadfhC(Y;aZwV59C{w_!`|(=LY`nZ7Wac*R-GZv-$L6(G zs%s5KJ0WOBdqYTeRq>p?Vy*usS`TqbynaGGO>9*?-<7liNt1(kvDn9nUHYoefHMua z@`y=xT0d1yKe`w-%?{~?pYbk(5R!z!*ZZ7*-308IP(W)^we#E&9lIXv3u&qF?Fk$U z*WMc<<^0Ve)Pv>P&aJDuH=wW}*uy;Fc?yAHnuR4WQIWXsYXYgb@9SOH;%qaH9-i>I z*3==N$JymCw5Go3e9rx1YwAxoH~w7mElvOZmvEN)%dM$*e-(FreI0jt!6;7uHtr6? z$Cf=0IHFbW=vUp=CoW8MvrYKU*>7oZ-Rq=eN^qyH^Ew2GAjiaYUSE?HllZiLqy26p zk8MPGD?pt^GSZCh^Md!dzZL7!xviZfQ-6`jVpq{8}gH`I%tn`C9>l zM%;uXR91#}DCaU4-e*P#yh`@o<7J+I<{f69pE^tooW76GN^lkfGZ47OtAJ?CUI37< zUIc8&%9*NH&T~=7#EqG`J*qwfKD=ma!R$0n%b)`IL)`x^L!o?iRsuVYgGU6q*bl7F zAa-1F;A0sO!>WAk5RwT$!1i$sA@YI*>uKpVb+U_#1f8spENJ0)%)0{bcFKJG0${V9 z;;t0oFcKv41f+M{82$UAIThPXyr*)5;joU`@ybX}Zee<=qn(VMH;r98wmD$)66@+7 z3eLS3Q=MeLvr`_x8F|g3A-WAjyDYHvVRjc&N|EqNG2#700`Me9!8p<6Ue37oa-+cG zXjAoD0EWg>BR88}9933tmTt8;Ka(#kA93sHK%5f%u{ECaKPo^At7Bpp#kwk|VGUSf& z;#Nf6p&|h%qu6%41i!0QB-x&^APoUiu+`O0A9bISye{nMe+&WyZqe)SVW~!AooL7jk zHTR;`)o?x`Ru=*x$Qth>8Kumrp9hh5%ogm)!DpA-anCS5 z@5kpde13>eG*ZxCiSYs?-ROQ0vtM)s?LbU|D|qDWK)Y<@BmO5f}ry>kUdW|=`-8fuxU;T>o~7A(%$iQJHWd-8|TJ@-4< zJ@UHenAeMt)av)~k0w?QmR;_ir2c}WN7swsnDcipckdQiMF31bg-5e;ARq69n~Ys7 zf?^v!*&HxBo>eZ5PX=>8iTJV!PVTot2(XPDKvh6|C5E33##vUb33>ARjAmvebuUCNR0J(M7 ziQv9W#XUa!IJVeeZJ`h0Jm0uf{kAF6l36_trJ|tw=q|ba@2!|PSiO0`T%a@#NDkh` z77~MY-d@0sJS*iqRoxvP?1+xWTH=6NjZWMRVzRqI6MCmq^+42A`wVrl&vrt5-y!zn zV-rc@GLt+0Rd<;QwDamq*cUw6~d0Nx0;Q;M_a zTaMZc*c=O1f+Ht*tH;$-v`v&Xv+m2R3u@L>VOQW%^G4Y{Exc)7RzcnO6^)-#9P8OV z*SL%}rMo#wzRtP{%I@mX=B=mTV3Qk9Ua8gA-FPy;CGB2$^6HP0Ik!*29KG@cGdOH{ zBXlc{Xpo2Zt62JDm!9=DLsX+-3dPj%SDR@loB&c2?AQ#Kt+u({z+#Y@NJzWH}HXXB+85n{ju@ z@ESTk?0B#*cMgl_btADN;7O@HIKdRb1w39rI4Mn3RLMln=h@WXoOvH@hoX=VW(T4rW%b<8X;w zk?Rnx(-%La$#VWZx8h8|(4U%(4*hgx;N&UjhcK49yJviJiGwO-?@;jEMcR7W3t-7- z#AEbG+ix!|z8_~*bZ1V3ZlZdgvFtpJ0BBK|3>PA07kG)h2_rqeU|M=YpCCT2HYtMj zDQt>|55&#rMBoR{B3zO80aG=TT^njr=N{TItVC({$Kk=lW+PdfEgt;VWj6=02 z0bGYlRul!%_$lq%?`9lO?*j!0Gmat8Be#mI#%{G9aRcXS5#s=J(z#m1-PKo4afKKf zrw;K=6hr6`DTY4!l!}#<`lia!bJ8osfnoALt@5ml%}Lk36y8*c-aZwazoZR!myJL? zT0SKwyLL*{rb2@p$|By8LPd3Er}H)el9*@ps>t+3XJ9RU8j5O!-Zm#%u;32rlHQq9 z-0JsIv5f7ss;B0}g!h-FG9BW#*JOND)VU+QQO7=HNq~LmavyT;17r|^72F4?Oq3&Z zTWlparz{VKR`Xl;$+7rWzrr?1Iw^mRp}fyPGE$RV_yd(yp7#Zs9)mV9zT4QElnKp! zJ7Tgfdoq|V9**agb$(^6R3U2LutZu!8})5PHb)v^AEXh!(+KcA$;Vs|uU?spUc;PIYc1EAZ@-4m{gF zQyS`=`V>9c+Ha=Kq_N3UpGz^3M=S-m%X}{q5f}{VG3%i=+tax6q!jbr^N?zSp%E@4gGv01;{{jzWX%)u1w7%2;eFU_w zH+*j${6LcDYiB(1q&DhW@n?)QB9^b6@l%sKI#pfQ8KCFScIq0y%MGZ7#kRpSp?dk2 z!PA>{bp0|Vkz0AZ?F#zIFZ`QZuv2qs&QemRc)L7j?j^Db;{t)@6lqJT_BlIwDLj!f zeC_(Q=+vlv?E+@;;u#|GMkVU?dXcNwV)eC?GO>!xiV1XtRT21&Tj<#I#D#lG~CyK}b zF1s5t>&AD^d}Bt=jF`*8302t}P+$_=B^~R#arOexvjCmLOhA75%h_;Tc7@3q(9O*a zj8xnCvkyOKjkVWK#BW~3l?#F4h(q991Y7{{fd(HVRErN+zz9AadFdc8aq?Bvr~W<| zX{jG|P&wkkv*iS|5zmP++-};dlvB%hpZEpHs6GS#3AoZ&x_k84?vBib57D76PIqII z#Fq}1O%lc5+D#Gw>>{hiN(CYpeeZ%RIJz`_1+Ivs1^LiJpuGlI;9AP`rc#gi>8L!c zHY%S!y41c>CjYv0`$)Q`*i?)Pi+a;zrDVBmSS}0Ewa3Z{V@Yp&eYx(i92KM^R?gHt zue$?R09MUa?omsAWcmfeiS9&8;+V5B%y1ye!7MSK4@5B@oe{^Z^iwy%_IR*0brL?y@c9`&hrt3m z@Od1+pT|cnGXB4A{=dXZ;hAgzDJJ81syy>6cE&}fRbp3QU9OVEoqycd*qgC|A>W~m zlD*(w4jH*j=E4t9#xho0+xgc6#c2C~=NN5;Y|Fz?$J(oJF#2HA(nvcrkp`zEXCj0` zQ??yxEeW^|r2WZ=+v3Y24Hvto+_KY=_QOOPyl3_6Zdze{F5zUUk(^<@NMpTYE*u9a z?X`1V{4|d{Y@1#m42kPa>5eWq%31jM z_{_(r51(cDtjFi`_)Oq)4?Yj$^Ef^&5J(oEJ@GjTpSbqib5C?@PW_>KsM4zL&16D& z48CZS5)S?_bXGRX+LbJ1%w*o#SFstg3?63aAj#%oOb{#7XEPvCCquUg+C15y5+cOj zEt`R%rBg`u{Ao)tdZa5ETXQTrZnRDw&|g9F{%GKV`974}_s)?ycZAQK`@c*S+yAdn zu@%$S;UZ8#GgF*Kb<>apqBUi7LZEoPp#||#jDI!s^A&Z?v5t z*1AP#9b#F%c)+$l#uz{h2?Pgo79z%PKw$p@aBw(fA!1?#1cq*a7zPAHYky$7L=KNv zNlE1sUwFmmCqWQ@whf$EoxpEPeyBI9GIE3gEr7$b5TQD%CPomwRj$xku#gYJ0zFUe zUfcV+g>rxW#&F%pL)T#*`P@07iY@^maLc5v1t}! z!r7U%;Hl2R2&3Be{B|xK zkK9R7-H~}&>WPP28-A>xaz-t%(QNZ~nMfy&Fhhnyv~FH?3fVwTlL1bz1TBNfLKSGVr zXInVw$pE4k>DyY;Ex~1<#as!BW1?uYxJ%To)~l|xk+TAGhfxAX248g{e$88}i%D}P zIQ~LUk7(;+(WKz1ZQHj)H&!7X(&krc@Dynv-7wj77v5}g_M1Z5!o1*_Yh^Y`T_~uM zYnF^x>}M08qUJ)Za&?gzxYMZBfh)`UcWuP@VbooHC$enQ#eFqkJkU)W-bm{nzhio)X9Qo zoCXyyK*b9hsN!X3Mkme{3ZQXdRAFq*Y+x1z)OS>yg-~+Kn-GlC{9auMm9+2KwCa&c zuJ;k7KwPR@XXzmu+kzDfBTa9y^@eRE3+d;o{{?qcZv>Ofx(iuh0cyoJ7t}FjBlu*P z(wAV$awiK+=>tdlBH8`ZiA=?;wxyv@CwND|*N zZTNZ?JzqfL9<{_qexN}H??|f7MMgaxn~3a)WPN#4UoWWl`>HQ7Me!KAt!cy3gs0#R z!c-nW`t7N50BJ@nF$+yIO$*3^tXe+js%pT)m=u+1d%LS$Ly!i}o?3G1O( z3~%=*;lmHG&?#{OkMxcOflK#yiuHO2qPa%x&Pb@;E>0GRKVt`K_b5VHVX~?n??$}E z%lRF3E@e6wF`${!66@X=+ouL!0xwj?pdUT+b0Et`0w(k~+45Swhn#G%qCB>Sfxi`= zg!Oc;=E|Z?KyLGF4`uVH?KUrT;ieol(B_2>+vHKPtd0Z~SbznLRgR8y69Aztdgjjp z#i#%fsSu!T_+f!!an3l;`zHppE;_;Inh{K@pT z-pLqW)bwH=>zqG4zfJ>Ad}pWu0|^Z{%E^KT3_t_o-HVwJI>5?TyO#+F&>f?X+!=t< zJJ#R!->s>?;`1ix{zve+`i~f!bj}VTvOL=bMe#n! zw_$4zt{0NPtR?}=`XttyoYb8K9|Dlln9SiK(rlxX(mCA!&PbqHcq$wDLRfi@fD0lSNVwoPia` zVKUk<={A58@v$>C>GmZ<9SZonj(vjLc0fccs}^exCb@VWQ$an^HMA#f%77gRV{LPORM8(?a02) z-{I|~SS=Hmv}@+VmrxniC7rT|xTJgj=D4IB1^O&59i*@d6jSvth7F(}bN*DEO~{w5 zpCijEm-vZX=qIih80TdgitMva32_%uiJKahsGUVhgsd(s=Z0jdrbaYP7@BHt7LbtE z%{Kk;czS+@wxPC{q#Lg;n;XqbI=k*zf9qdcQ@_CHaeNK}n?8-t$@qL2pAmdqJ+i-h z&`;v!3-fV-mc7B)y>|aw02eZ9DX|x7i=oK)2Tc{q#Pky4?kc>lHk8MYf=6R}*3_*VM=NeQx{6_ayyp zz%1)D4}ACdiv7&P%1$5>17`+49h4v&(doG6p` z7yI+pde3endH02^?F9+z!>6}>5W5BNev;i(+w>3za8fHuc%Sj>F(-uyL8{IB?pXhs zzqh9Dz$d_`^J%;f9-mY3vHDh`no)<_x2EQuRDV7w@@k`x*;m!T>*Q0*_T^XW%00QD zmluN>8`0=(Yr31ee8;i+JQ}-B`$>8=xeDN3z}d#jj7ndO52d5FCJ=1rSK-FI=(T*DNiFHA=%Q{ni8)5Y&6~N>aPp$H;1Qv3G3=f!_p;LIkB1?K=#&QIWq-T zX~uT68!YR)mnYtrlJvraQOSe=zICH7lpp>z2!xu@0AY!zNu%N z>Xr3vQ`YGEQ(i5T15-u#Nm*gtn_`-|LUqH)AcWpJETY0QL{dr(bSwCumbhHA(jzFP z2dO4a$l8CL7FQ9W7b^d-?u3C28r{*iiQ^S6qDd8F_+C)Y+SiC zvgKh!i5e>X>F#tY@TZ|uajF`SkrDQiglJ-A##pAqmMM9}X3oZhbiILeL5*fnI7ue& z#a(d)AtspqoHRAY=|~`X#Ib#ZhVzv00Zc&*wY9?i1jHwI`u}gd>$y;!w+~3qmWRl4!6)VdruJ*{ARkPeWX=;Og(LJ&(I0U&oBgNC1(wV@ z5Bn=Fh?8IIzk&TW0$EAfw_fIT=JK|ZwtuM8&F zK7WK`2cbu`9YJk+#NR94*eYDByg+wkH+@KY45;Ds26xzq{J>Xi_?}npgKZ{oVVt6Hq2(R#y#!-5x0F z$S!zR<6ZTxs{Zmifm&b=`e%$iC%tj@Jn#4;c3ut6+grcDhH0bMGea@5ELh#(% zlxcdFkj8 zW<+@S6#N*TUlDH|mU1X#>t%1^!1FP<(t($J3%_+(_N_*bu1R8OBAOlLMk5upF$xf; z><_>s>0fk%tQnty>EZb7A#6j94=U^DBZ(u&KC)e~MWdaZ^%G{I^@|`Du=z2Wyxb*o zp+p!udHKn|Kf8T=)yT6P?zU~&{;;4Tm)m7q>PMaDx!81CTj(ZWzbu_4Wh*7-a$l*w zs@)`T*2i_*0ES*`&%@GfqqZ^@a^zw*T*@?M+fWZ{h z!;NyM!2iT;3H+Ne

    X+1Nz4J-&c>n2lI`&dj2PepROxHh~v5)EKyd|Ud@CrYflt>c@S$mv|MUnH$3L5tEG*s^^Z6| zBF&?abuYGktc4;bstH&a6ey+7K5YVu(Fsws zfmaJ@4Z@4r$?#$}DxAH8@FI+tWx!bAfDy6G_Sz!WVrM!BaDxYfkABdyUNR7ub&*Mv z!NMLJ9(WJzt4VXCqzCuYq}NIkaojl6-1pE2*?6;fYXC85gmU9CsDlmRpf(rM2w%*! zkdy-#X+(r1OUg^4BumP_-m6eP+k}2zU#%XxD7!MoDOGlLylJOU8t=UETZlM+Hv__m zb$2>mmo*L)puO4x=d-{Y_f8ggikH{Q+8b+lD)VlX$mF+~T8?L-vAROmIpbUWn=Ilv zloka~MHaO4pg|7(^ib2;1nNCn+gbf4kYB9G!}dn@GMEnR40}kt`Y!XG&kG9f&5urxYIR6X!4`ns85NkK~2me0(+r9zBqd>e9 z^rKB?Ke`pV@ZQhlA8^%WIZ-~Ww8o-@r0Aez@UU*t<5=`HT}j0;I{1Hdf@}KSIOf8bW6$O157h#s$%}|Di-_8 z%(`N3t7HCf2@9Nv`SQ2}1=|J2}yVH`5 zrDZk)w!7tbz2$YtD9YP=4mCNLRMO&~+_G`SwCHRw86>%&P zKO6FT8DACAh7^DJ{DE&dFExNQNZzlA=|g#I`o92ygrOE3Am_G*>i^&$cYT=G zRU>lvqLG%!^KsCzhw-EfsO5Nn^Pe^SUUchYZQ3(8DjWg(ATgHZIdIvIA)7B<$%6!9{}!8 z;xV<{a&x%{3vdGflsmnJ49yV-I6W;r57P~ngW`>#`IjcC{} zA&3z*w(4u6nf<>EiJW+lSV|bpxcqfISFi0~%uPu&LfExW_QMxIBfrsh}G=<-T@JAe+te`3UZ@vWhGj|^T z%Y=X9Ar0||or;)@?OD!ciK`MN68`R;gb5NbuEB(;E!LN_#O3)U9kz_LH!KvRr+Pg~ z&O9n!QbHk@Nkw|NJPm<{Rti1ZWlW)g>4i3MU^9+X2WHmV1{O84AlP16tS6_oA@}CN zGtpzK?_rMy-*b<|>m)djY^Yf0(WLjPLq!j}#piTepOX(xTOyu@JD?oxkH;%=C9K6( z`y#M?<}ksQ6Ezmc06IjCb4f&op>>v-2jMWCM7+C}*!{!fyd?^migAo0w7~p4?3@x4 zp=8zUPdWq6U}!NO-#`ZOJF?cKkz?3DnsvtjoiK3 zbKv*F_)z$v&jaiGUn|7Lu}1x~!#Nqw%CJNtgV?D0GNRh$bq!Dng-!YM9+vyFmUHw6 z${zNI_#Mp^&|%1!njtZMV~~aa3#E+52il9^IFtXiG{2w|3kX0v|MWT3RwxRU zVc$yvchbJU!t#~ZC#4zJ7f!Nv({s`ha`G;Izoyp*Bz9Bb8+gg9_$CAox!^5;hS_&R z4|sv_MurqmPyh3OHvVq5{u#p3Q7u8fozA}%OP z`27N+opEYCtAxU6YT8iC)NMi&|_3_8oqR^S| zN!HpF{z}5%w)5~y2>;cE4e^I#>> z%oaK{Gg~5KD-IP?5&;SahWH3ha3Z-k3blmc+Ve}l7tX3nfA8ZzR)CEX|LH2!`>;06 z>1~buC6t6jqdHsm>nz*zA9bRW`kV5bV^^J;#1FmA0zWo%52L5UkA>Z6)w@sQB>B6~ z;Cl_CIZaTG19+UUz$jkY$9^4B&Ey}<PS@~ZHl;0hQ$zM^qS}lm`;(r!>c(9&FE^BubAC!Q^TqK$Z4~~C9 z;lT~f!-E$x9=YWTwCTZ%UnGCCgxHSQnBaZQ4t*D=6&$_0rEDb2(UraBQ47h2Iwo^Wc z*gkljV5{$xV_quW-s(maoOMH-j70sm6%7fn6l@}*cPOGH1 zz`b8f7O>s4@oO^(6?{DjC9X;S*#_mUFdq37O1$glW+h@y1F<)phO<6-9SeWBY2ieB z+_An1_TjibKpftdq*)=_Z!{4R^~YgLqJY`9DMOU43CSuClJP}-e0KlkDE!Ggn=r(c zPviDn%JK*Qa3|YSH{T>tEP6fmRa_u{&yQl1gstX?s1ST*GM3w5KA?@{eEi1=uuvf! zd}jUUlT*Sc^z93TE+vTwu{WUSESC6C(-L}gsq+LvrS7Vy+T_2I`8PGnw**>UXd~ox z4Iq_BgYUN+b{5|^3HkRO;af|n{<|B{pQLXwA+KuyY3NJBA4T}RcV3=tgl{f?i{AK; zUt9+0$)?yLPwY~F(SC(+g?k#bPxIF@|KUdYwn8hP#e{tAz4e%ywV&{hHiy^xI|()X z(|W9R`u@nJfV{Z@WRv>8N%*~SIaqw0pwQTlZ;m?{ey%2TZ&T=ypYJ7H`M!FrhTm^s ze(L_F`3Eq+(memUPauEu&$e$54#y=Q%{Kd?5q12zgC(!~d40{6Kj!E-33a37ahCgP zUAZ0m-&0s{^)H%Kxa0DB?znt1D6j#()ybc(2MHH6Bw?repLHzX`pZU5s4vebIEQ!^ z_7dOc2NmMb?l>YF1Ts#8BkqaM%uj`HeM5Xtt|Nb&;fwa;#F)fI5Lsmnjsa3oAuGt7 z8>mp|z2qF{6+cPjYZSTcT!WRw<`ENP0#h2Ceqzeg6_H#)dn~ z&N+aqrQY?DX!n+VKoc*MM7z7}1SGC^J%z#d(Kx=>aSxi;8^@=KZ;s@}H&Aq-Zmnk+^TZF-M z)~0AHkkVyS6a!Ln-~s;gUZUUahI@&o%X1fQIg~t>sqHCg*(dSBbXjze%Vv%oB+!zDj)Q(*T5Ex&AOwO8DDC5W32dNk`r+Q2F zplq_Tt)Q1TbqZ*?cASfZY=EzT>+Gw~c-znr*#n)L z>*IB5W8jvmlbn`z-aB|4$T_bxc)Sn@!#mO|AZ4kVYfK(B3PIGs8-(rQ zp-$>uNL2L;S*(xp>N6=`c6CWJ&whDW3>vks#SLyp8b#KlZqm2j0|O6~=YDa6$Xnn& z35k$XX!kVHb6eX2Se41hu2B~zXhUF4Q!R)At9Oe7YZ`znsMN(w2W4xtp`kHg z_26;Lng(DrDh9l<0cK4DFjOc8yr}`OriFru!K=THQ^GXfydv%ox2t^WXV3DA8v4h? zba5E(ijrcdc+`KwnaE9gVXtQ%$w2yL^GFssk7R=L$Ywf^Y>4xybcU#IV(w`C2Ad}F zQXWnat>MaQ)_h|FzC6SE%J+2h-Og`H6t4wE7tm4XK9SV{*SYc?*7`u<2q32;f|{OM zxvwNI?vM$$A{~T3XFNSTmcB^xSL|nt!G=ekexPI_0Z_YYC+f|t`ymN5mR}q_b|kgJ ztKNt-Fd1Z|Y5ZwA3e9V+&4^N@N&?k>1;Wz!C9jb}{|<0uiUVp#R(nL556Xza0L{mX zUZ#)K)nzevp_N^!m94b{fF(;Tc%ux%-6GH+sY`0#TE(6vJr}tHF5}{N?G=<=DBT{V zC@mxoT^Cz0y&JUEzT14j)rW1$8TV8|#C+YJmq( za6HupFytfnSS6Q;%E~}td28)_rVwUp3I-&qJ|w7Sf{Jz~$-V=;GnC9mMSM+V`^r}v zHtQQDc%joa*0bl)(?^z1kL7Jmk02*iyVX_{5rY~mA8fm&ov4MnD|m3Tz3x1RN+GQa zdDGHr+j*?tc0Kl$wtBF{PHLYpZK} z@YkSMy&klyid`)Cw9>+md~qTfXxJII*-HRKO_e#&_5$?KBDo1AiDaO)hS!)=n=h8F z`ABOWY^~vTDNWl9I58A!Ud5Vm7Wz^Q4+X~-tn{i|c-5Fe z8dmOAmwK*#@U@hBtL#_{(B#334qIrLlqmNpSvdQMb+BrH^P27K;6C_;poRNQk^ouq zmWAOq!se!+eg}q$6Iu(n*kQQXQ9TS+NPrhv32p#)h!$?bB{U8C)2as02Q(=SL7xj) zII(nU`L5NE@i141JRxVTT=)toVj=ZLHE~ak?9X$Z_tI)Sqqim0u4D4mt9o5pJN=P9Wp#2-W|poV4_h8JXZI9MrKF*lJR(xc%~OU!c36F zIK~DP?dCaezO&}r#yJ}QgmH4tWOteGg8BB%x9!JgnP(dZ+4#rCGbQFz$10`8_*QYy z0|`&}q^!eCY|Yee2X~90fLJp67ERV$P|=_qF(RLHlI{5BEM?w&bB>bfSyAGwXaf7I zBKxb%I?A2=l~}f4>q@J#dh!+|W{N-DM97dz1UYcyeNA#*eH}(Qb_?j~4j{M$rv1>h zwCb7(tJv$CnnZPQos#A=CeKxUXgJ8qu{Zw+`~+H%Q)h|MKhEN5EY0Z0s(Hvdnrw&q zHHU9LQhk7vKeO;XUHAikz~4wCf2L>F{Wn_;!r(h_98vkh_-dwflI#d)GFTdyK5-`9 z+&4`Lc=e=c85xQRNuI-)<*cGX0p$Qs?6iY@Fjkp?Q$mygCc&n|#!~$Cjm_642pF<{ zW{maKHZYg@Ig%{gmry5Hy$CJ^2!()^(;^hMUql{svJumHR=l2$0#d1*J5b6CrB8E} zG73*SOn7=p7@jV0dcZYcz6wc)0R!?%H7fad>gfl-$8N-zORUqQ1QhyM2onBH;xqAY zf(Um=fl=0(X3Tvtw$c zlJlsNE8j^mxaw%k)eWjPpjzmY*};u?7M?T;l}kZ^cz`0tEVq2^6iL*Ywb9hmOF^FF;w+xL1wI=qj)u zP$L7Nc4kdVkXjYHhLxpVw%=~pU+Yo?SUNx+Zq;+*=I1JY;}5AEf$|T4{pNd_e6Q*r z<~RP3HNYhqPNn{sw)!rOYx7Nyj!+yM`o_5fYmX!NS*L z3(@UK<#&|-~j-Rr=SS~GLBVAIbvi3 zLL}O#ezd%w$X*&D115?X_BjAT^QgY|!?5iMenjZzgK^@um!($hO=QZDWn{=Upo1PF zwE>$*IrTwiX9hTA6ed#i;~f{R?P-6W?Iy%nOGt*~%FM?Q+e!$s_m~z?{2EXUoWpnq zck~A6O<0cgE&wot#Bk5Z{x7UlUM2>AoggaI}_tt|4&d;TINas6QU zu}?DFx{&KjYYlc`pI4SHvU`0#%4 zXN@#fRSw3z%&T5w1`rfOsO2{h%xPht+ro<5!d^bGDz;r1L7GBFY%>qyA|}m)xQK_% z18(`EcB8cT2igK3#6N7t1O3AU6VVpZSX!&Y$KYfCgX?grSK|6Wx)Rn(P^rVHuGOyK zkifh~^Ljv8S1LOWY=^`R5jkYW&PG|Mj`NcdIt8H~~ZB1{HIxiN~K?acAZQ$(S!2X4zoOr#3gailv z6)P)F?XRAaY>Cf=?0m^q^?=el8b7vbc3(vMksu=M(h0twMk^3DNR>#*2Q^+-h(~OT zA$JC5NSDZ10V3v6vbzt&^_r|CzH!Fx?=br(_^tsDcT5Rj=C%|t%48b8+qJOP%G;XS zQv-XBr@Oa2?6sx4+W_ajZX^7Iqqx1${0YDaQCrw18bv8^@IvQlssx>n@n ztc;hYkJ?;&r;yE-ml9$=nk_6T@5bAM*QB1?j(0T3+d=Yx$Lr18C&b|(f_C&FU;BZC zMBz5&ru005u|pj_AG)Or`VpLSyz<=MDoj%4HrG-xkFyvQObJewH5+1VL!g-=ne^?Y zu{j*biaMZq2xdxS)3*rGV45W`#wxUzmlc$fq;av}Mi3V6BC>d4|1s;xtYQ$w%6dcA z{qy-}$+|N22Rj}Z#S2X+OPa<{fgw%bqOX`NXw$~$BCV7SQT*|h*0z3&U&{BFX)aiZ zLaqd44pxNVn3bdN;f4;m&l=HK&$RoP0+%lv6N*5T`S?#E zVOcsa1poPFzK9ij6H0760lllF(gnUR%g!aq1uxJzqA6o}9z4+Crm_tXBh3vdEur+(s!4NbLWKLuh-^(%Nyv^Et)i?eX9L4!2-Y z?kFf!x5WKnVeiBChr7v)3KvQqRh#k_N}(Q@--Eo#Si3KVjjUKJDQIkH^ajx2^jwpO zIepnTC@8FEq%*4@VHFk$u#e?b?yLa2tVGkKf+)|`lqgk5!d|UNH={gLB5Z-xSX+V3 zFiK~@#oXA0tZA?XcQXvE3;q_Y z;dmF?_fT7LSiEk47w!LbdxFx=_=Aeo$sL+~1taHvLYL_e+?M$CB|R-<3)BwHHuf8u zgy}-yD86MJMVLk9*G)OvbJz^6p<-<$@+WZ{p?3&iQUHn?~}iysqRorj;*L0 z@)n|?i*&b8q{6nyH36P`#LfWx*>7NpNLpl6!)6!@jUYqhO|3uco$|1Ho!cJ@n-pqD z(_#rVL@To1ZU)i05u#9qElJwkgypY)`u|z}|9>oBV}cja{-uZSYwQ$W1p7bWh1q{! zBl|aoV?D)A*#B=rV+nQK8oPC;j_0O*u#fNc7NTHd`xg#b`-lI6^{2NqGX1GqVC~G% zkTA4Ym?@ejX6-uQefP4GaqbAo!2^m<6#{iQ63NdTH5zA zwy#0Ak3P;hMVV%Fi|BYIhJ{It9v4VUIZ!P@Hx}5KFRD%b3txC- z>e!8S)J}4-nIU-A`@%2DcGK%eI7GpK-CK?PSivZQ8V%=gBJFYYedMt5!rgBlb8Urs`+STd*Hg^DN7KDb%7_p~T8?6#NNCgPMS4zX(3DdJ9A zE3`#^m)N3@{Q@oGnJr00UPVuEEkL@!RwNJqS&p;WKF92Gv1LE9Ab1GB%*p8WkU+o< zrBXsBQTB?k`+}iQvH$Dm278~t;yZ*l_N}^-3}_xqTAs73uvx84 z&2aZ|bB3w*pWGNR7(Guj1qa&+GC3w&C}hi!uIJiq=sB4P1kUvBGU%U_dTef%xva56 zayuriE3BZ6V!6O(Hnhvog0QVXv;ddm(tWWgyoz>gz(sA0zeF2;8Z)|pYXR<6t>hos z5Car0R~$g|rfn+)c|8emEK>fnyb@UFL?VA|&%4>vYkG1+`a-)vQ#U;&7ORUlao@5+ z&og2E?+EXS`{0EugNx84@0CBJ)-Up|MjEx-E$htA#4b}E{)OIpN%p=Z(tyC}{A&9|`TfWTD$PK$_qw09rQmlo;cPkf zJ5OQ6!DhV`@`P#4QYH^qL8llTHiL^BN?M6b2@gra@>MNTnbn8FYfAz0*yx899RwKi zu*e?lqBl zl%Vso02Pq_;8S~XT_dagw<{5tf&}n(C8K!uoG3-5(3nIjD@jCUV3G`N1-!5JnyCxG zGC^H^v15c(wgZfx8bw`U6!pFZ>4@DY3rA`pHS{$Gio(#uu|Fps0ByJrO(<+HX*3Fy zmhFq&7hp(L5`2B{$1ueUCRJRWy9kxE$DnObkxA$I002#qkqFL>QectyPAPzRMmdug z#QEU0hic*DrEp|nImyR==mdXvUVTp-J6uxMyIvC2S*h|Y@SeTf@DEi$MktI1sc+Z! zXrSGx>NFS%FlcZF5bxW9s@MCW6o>3Ag&Xop;pZh|3JU*~Xg{18_yaVy3CAgA%AjoL z9$KS50tWD*vnY`yg-4ptw$8I{1ss=O1bT=$?{;#so!Wj0TaelLZDp)@~ZVqLm?p^jpJ|E!tj7r8E)bMG#T4V z=Aem@RhCJ|{aTeoN(Q>~AzM8vVl$IiBK)CxFYv za1+17@tcG$*E7jZT$p{-(OR*2lMCWYbij$oM@CIjJdy2f5ynFi%&4gzNR$DV1%Bf{ zAanG7MI`w8EWNutgYC%2h?edNHAy1=Et->8m0}L4)0|<}1woli6wZ1#Y^8-ks2nz- zs>}r!2vF9`TFC$|)Mx~S_01ON36LBRA|MTAtRwl*hd^vu?+*}@;48`hWD&HcT;(e$ zbqNHz#tYS{a2lOsPcwd_s^A|urhzuvxG)S5l~nj9Q~+!h0mpyR*MNBGF90XRy~Pq| z;89j8Um&f*e~_#HjrElQ;r&!tD8XHvISD6^DjET~PM*3L8~B+?hiJSo`q&Vabr^t= zvP#3&FbR@|wuF-nD<%9tLJ9Of^FxglT*z4X?__BB&jcBnVO2I6{-4bW3#b=fAUYe- zK#NRlC^*|zIiopiCqM-s8 z8Ln_kSNMBcd?`|*E=&d1D_{~FLh53AP$5mNNV}0*!t=t;d%;(spb*@FxA)?wc*m%F zkpNw=*sU2y2nIVg_0fPuGNBoERidy3p`lpA6*p)fOq$AV>Rx1=K~eIgSAYHv1f=uy z*_Kyx06~C@TrUfGrwZ8sP*X%@07E4am^i_Do?E$b#)C&oTk;cNP$!U~? zRoUNJJVQV^sV6ji!f;cjN@hbh)!Pu&hIe4=PYEorvpx%ZAGVGA^c}t$|YR59rCFQMiWzc6S{31YKx~+AfRzlDiXQHV~a(aC?egGSSg~ zqvU4Q65^1crKhC~YC6yTfebJwmuB(gEy0rrr%-#Tnnt5iaLn2g{Ksz$a*Pq>fSV$) zMnppR>{mpe(O7^>*uvBjQWtivfhdq}=P~oa?`B#{3C{4$Pw+;Jh6slMof6EH5T10r z*mCyk!bDK*M(gHdpgM{MUbVTx)Lxy(AdbeyyMP>Pu8 zlI_qw0e!=eBfLkykKuV5XU@LOV5&3^Mp6dVIkK%k*vy^k5S%=M9ai~e;oGh(it;~t zTQlW%z!G~ap!}$cw4hSzc%iY5TMWr1Oz=ha&T(Z`CW*1%Nan$yTH($YA>Bekme^Oh zRc)m1WUdBOJC;Wo{MQS*cm))1=)!-)|1LNs+|l(Eq(jCD>2yk%+|xa*qS+-ma3wY; z^pybt#fMFB%H#?dn8@T><-HA7=-$i_!xt%{wWu16gG9&uZv2*Qo%lV3-+6AAZyVt8 z_I!GP#|`tl3>0f8^G?HAJt$L%1pUW{xI%VJqpW*=%`AEUV6xP;xCU`Ou0#7f7+QUz z30EyY#hOF~yGStf+0JLT^SM3J@9fq__n&o9xp9-wIyv#TI4!J2QKJHlZ}zfF5*AJr zz$Rv?(0CZ3vhyM9To5+w?xK<e<5aBZ4*$`1V~1A_P*8V&Yc1hsZP$Sj>rL*l~Hws^Y~5G!7_;?;EZL0sa>X5 za?J`QBS6DdbGUBG;%2i$xje$aYW}WPxw{1*{ z5j#6ngOarvf~CE6g~En6%#QSlNZm2gR7j1NtMyYJ!lz`lal9O*amQslcU+>PJ>mOw z!{vhd4VO*uCApQ3xYe-4j=0shP{^%@+3{An+%o%oo0Jl)%B`J{g5_3vXSme_pVU~b zU<3<;x5qflXguoAOY~}G4L#*o=~kIcwDEFe zXK5!W^CrL1ma68Eh2RG-w&abOnhm5dxoVfpKcN|R69o64$tH+Cs(PPpbb!oc?4lbY ziuOtRa^EiS!$xIZBb#oK1xONl_Ur3%ZS{-NEwMZ_b3wYrki|3gv^4u(IEIFn%iKD- zR5QgatfE9P7%=Jfa8W6ycb2}%=zJjurPwECi!k!;d}Wk{ja5#Ty$Cj6eG*NfN#aY$ zq6sd?Mk1r4QO#&LsOtcA#%OEX!1!Eh&`sjqB?Y3uRuBSCvKiqo8CD}Op2x8@1_vBR zke)N=Swy*=WlaBGv68`5%nBVAyJq#XW7<#aHL zbe*OEN#VSCFDd%N*9=9yOL12*s75MmhEqT_CU{!_5GEnPP9dQRBEbJ9cZbqv%!7RN zJg3lv*IqwXB+}2rwuCZY(sP0c{}(_&7|eM$qS9b-2M6b2Qy5lFbEcCuFe@3kkI)k*9(gxuh5jf)L~51HJSbuHK1nqg(0 z62N$XU1$NOTSyHY#IKft{rT0JS@k?z6MycOStWZAW|^6O@F2^hEfBRhNO{ITJi`qM zkFsXlhc99tALhyc>X{96xW;}Tezgpo&o9(dh4NO{0RniveT7}2XnKvF$P_yir5N-* z^{h^XJFA_{(T0kb4JfHd>Rc zYA?+(RdLO;^O>)R?P-S-tMpOLF_ogS1tEtqOq|b6Zn6*Poa_9^YF+v8x{x`Rz5C+?gTwK*MySP++vAHTWh(3bdItqaJvB&w& z0AQe29@h?rpo47YAKdyy(f`jd7z(DpjMV@bD9@taACwPVAVO|uLN6Op&YSv znKM)0)sQy6>|n#yaDKGdjN_Q@nof?de7kZxQVecsHIx6OrsUc6s(fi=%PfxMc7hE>1Z z5X8+%038IH%dl8A42)=GFG0TJaIa+l$YKIB!C;4Ga7dL(r$bfTiGRVUkeg*D@$>Wv`wE{PTHvhRh?U zR=l5N=dHju3D%^*nd%BWEYVQX5^60lhhTm4su3UlO;=;Yy{YJifmi5+TZx2;6uYMf zEl1ZM?(BeJ2^iORkO=p~$7y^-Bd-^1sKum99AN@bg##{Ngs)tr{1ci&=n9Z(tftU- zR%jO`#1RAPvn2J4T9oKDmBxN)2b(BDkb2QDCKwQXU;_Y)s+30{&#iDMQQ=VaPR>wS z^QPmFntPXa#S*1<+J>neZAa})uwdbEVVFqJUr*vIoac_+UjoK+mS7Bx&|jW)dU-x0 zw48}N_%&#%+`m<5)7!WugeZ*;VX!#E7Y#pF3;(c3N!K_cgRWX|$fVUFl@8NxyHkIk$bGu_p(@S)PPbFxWxBq+m2hw>>b z#BK(rA~CXM`bG<7B`)3jJbiGtGv^tem#iqX$V?q}=8}`yK?4a$;1WnabIF^SB2F1{ zLTl{lT^RgE*63t0=ERzk-OnQ(6QnK0!aOhYxv*Q4Im-kDT!{`nY-coV+C`G6HM9cM zql1R=ZQ(hGR~%@95$lKC0-`!7b#m4z@wc4mB8G$$qeD1rr0+nYV^j|c|EIoeX*-$B z=)wZG3?3q`6~GIvyTyD9t4FEH`U0(k`$<_6(+531y3{^chqY}`{8k@yK;YV1K7GqD z#Pak%)N2)vnd6j#X%|~Et2w)_a#n6fJN9<{5fr$!=JBgdYR}y4=hpOeALzn|NBWW}vGA z5_cOs5IAv)H&*j8Rds#nb}^*1COJAW;i0mDeYmoHY^=Z)^YBVJq~cmNIGR%RJ?Izt z*m%;*`hy9Q4i~VQ-zWzn%|qx9%2AT_2mPeI-^jb)2HX7_Yzu?U`@)8a7h2eGcN2y* zW_ME=%3y~JedHwe3hB)vWLg2Wwa76&oRAc*mEccFZH1S8RZ^K%(q)6D3Q!_lXIlm{ z1TK#c=YgK7#5~)^b|N%m=?vz38wB$usSVN*@oG_9gyB5%8O|fTldAA*co;1fMT3zc ziW!1oc^|qG!D!BaWQ8d(SJ^uQ0s(E30MCfZMuvUWm#_mAexOMN>L;Q;5vuy#mu@#K`D_J!IB~3;Ybogcl8XEy0*m(;IF*`JH;;I z`f_IVbu4NC#{J%q<(W$^W{%5eak-XhA)lEV#n9lRRwiQ^>{h7L05BWuzhB>5gq8YU zE(Vw8j?d51v?+w+AcebKUYT+C^HcMJqb%^kzR{xSjIzwY+J=exJ?=A5Q3cCf@(sfW zdeDgWP{%e&w)Q5Gjxp73yDQ(K?4Uv0AXquvdnu1im)3UR1sM%lFmFuXVj`@dO<<4E zU1aC=s0FN-BNdfCbXzd++R5iWEP`$v1=WxL#|Au#|1O?DFt5HW~i zHDq!rXdAPvV!8xE3j)OB_2Y#+@ z=4*T|h5@SH3-G!)tvW&rTc{l;xB%tn?Jqgy#*Vl1@=vo?Go!S~y9SR9aJWH}jUUxy zA_j;NTtj3R++#)%bmTVEg1^^?KUjQ*%* znTrF@lxf%|!)0>0!m~6!8B{ir5;A&hgro@%l0e5eKqOazaEC2R=EvuDY~OOsmSy5K zWsx0J6xHJ*o=1IrCg1etP*z*LCaRY0wbdGgY24P^0xB^*gRIHmRtKEiV3>c}3Ojo7 zYlpIYp)@+dCg2n`eAuxc#4kNijvp!H9}6;NRq0q#y>J-7rsv?R;g67HAP*heZb}+ z?mWU<_o+C>l@=o_CbHcI4`P8l=*HxGc;U%D51Zj3+Qb+sUfrlW1Zp&X551b08m7H% zcq2xS=ZzlJ7F_g&bn0{wF)-eQf?pW_Vz8yZu0fQ@J*BvEI2;|<3KDaO08)b=BL*CZ z=Eb&X1UxcYVaCzdzJ>1sHq8SPh(%`c&OSgAM<@6St?e4j;dWbkINxj<7G_v+w8gKU9y^iN;}$E z(?(NzjK*g!?ytVb%p+i+S+}_eHI=%8j%~XCs2M~q_@AFn4UrEf0kOV0S9pPXZl%0= zDBQ3t{UVx~8=K#<(6XvuS*1NDHmB20yFURtm3K$vOaoEjAOtOfpLVt?L0wE~%>vopIj9Ii0^nJ@kA6>v z)2S8mZnY38`c1Hf`#kd4CCQi$1!rz~OXlYE`WVB`;uMZctMcA0P0hxQtaHZF>#Nf= zx@~5NvSgH5#|>VJGg>yH;APne@R~NrH8N3$n++(oTe7`fV zsy3Bz8`+FI)%%KbUa=d9$yGVD;Byq{rj}EYc#g-ae3l4cG)WMSV~OR7?9{Ip+=vq^K7fE;El1G8k-T9w+2M=Y8!kj$6@~45aNSIGYo8pvwoNeZB@{ z6*+{(N_6|qbRx&^PP&;d6t_SN5|2AvZ(2^3t`pzom(}KPj&ahAF!T&{ugt3dT+3TflDyA^JB_Qm{ zjNHeCqpR`Uh29BHE~u0++LGHksO_;NjgKw!@M4Wp`wEFDAxtGz(;+dLSxe4Y_088yh&rcH1@^Kc}$0U)%k%q7E(M>|6~Y?8DnZ0lmO{Ss=s1d<^(G>ta1%xb?v77egW0H0ByA zCkTjjGrxfhYLc8C%<~xWB=e(~f)gh)6@WpC$pkwgxTw3vkV7{NXul)1JOC`_vDyct zP83db+Hz)EDpuTKwpS75l73sRWvd4YyKa~~ey{2tW&_Bv(qcbH34mCMKap^Xya^25 zHoI(lI>fFR$m+)nDCOM&Ymw?JwWD58jaow1xg=*1xUpqo-qcrKhUm_Z0!0gl-91CW(B`JtHqEG zXm8yb@(_CxbHWH}HIh3^I5Pyd^#3vUE?{;}*Z=sL%Sk4YI1_SYLU1tZAmt#K5WK_S zgrOr1CPX?KmvQZgnHVIKiJ6cwIg+;8qA04UYiQNDHX+PJsZb?atxKu*bx_q?T)y@D zeAd3a`#tAO;`{u5&;R**WX}8Uz1G@muf6u#Yp;EIWy{w%bE!`C*!wSMGFD$$BX0jn zJty10)Hn8QSg3kzog&LcZzU#{wG$G>0;lvwSeA*2rrOXN7Zkn&R{r7{5O_|}JU@uC zBY1iv>ejYrzs{SB@zi#c0u9~!-WIUYUuVHx5GZ44*NX&k=k9E(xJezj#KEfly~gL z7L@_-$4jIifE^Wj=-@IY#u_>jZ>)zSAqZXkY@wqFE2e1>ue=)4dyn|!;G1dGArv^9+YBUahQR|9&hycHR^)>n96>oo;Z-uFrzO=J>=^iF( zf&z5}v!FPBb&|udm$vyRn_iw7AZy(wj|_Hg0d6jC%6>j8yr2RevRq7FVi{z{n8~ zfBp-3aLh))(>E_*fliR~Ar%D{I@oXJzGLgF3rGJiTPP*%>*BHmRM*HeW zh)?Pf^8}Yi`|34Pa}PzwmoCynf(KuH8hmvTM-A=$LS)UCc!n^^G?YAFdI5OH`9<;$ zVa~3H5Mke&@&|{-TSVXh)2l8-OuLBjU==1@Qg)Mg`b#*W_ zp!8;nt&>49Y`eriY@TjL!9(-o!D)uJjAK9R!Z-%{9M|aG=TJ}W-KX$~!TEs5f%jtAJ};1ld-LGom%l@kcpy%OvW+aKY6IsMVb z7}G2Sy?-P9Q5jr}l1_hwj8%WUh5hjc{2_VUA4y*NqjWR3D?!)A2bF;e(9i%?ECn>a$%R(_o_e! zeKl&TZgv$4Q3fqoSrkg@iHUKFW{o1{%p1?rWAR*rXYR#Gl`YT_%+M)lf=FP%hO%nU z6fPrM{U+{}#fD_CgCO`B(-U3mvbp5t@yeJ#>nOFDhJltqcBs6-gQd^UK@qiO3r=KX z)EetW`e=|%(*J8E=zluBH2ra;59;Z%1t*bu+VN^OQGq&Bfx}tAHNzCJ@(>PHJ)v^} zoi_U~7!jj)Cf>F+lhDEH_{Eo+J`1BMF%ad^U;r`?V2}Kwk%{5Kjf`A1gBV#et*n#* zK!w)50q-DLB4()gzcsL_#0*QbqXfv>y>ur0-XL=1lL6=>yx>I=fyc zcZ$4?eSxw%suh1=HT*4CsTEA*C~rJ^_CQ7rsJ*JcvVd8XR=L`*fAxzm#lAPs=a#69 zh*?a91I<|#_H#5Vesl(_F@~Rq8JaH(L+O5LC*!3oW}_7$pxHr6&(g#Nv20bl!DVi9 zveQ&N!okxPO(fG4Y-TKb9XN>prV}I94k8S|F{Z;w!`GpETD;>#Um% z9Yl{YT1;y5`O&}M;X$kvvpt`mej~J}wmX$~R6Chld=5{P zxg^ugxgV=h$!aKPGg1We=kvRU7g`i{HKM$D5m01}t;wKBux&8`1m_UJF(<*{O_I5n zb}Yk2*ACL$UgxuOmUUp(!TcSu?W?^Qy7IQ&;Q2Nv*;xo_s`ePm7E}O&!A_` zTn~cd1YO34jDF_kSJ`QW1nD(m8>Z-`j~E)w#85;ZBbqFCz`M#Exe8;B*+ehe3Oz*x zz%zlEZK8?slP@;bQ*XJ~@KR{A0OK!wpcW%tNo#>-pg%;@0B73(bxL6^Ay|%Hg!VNH z3gP`zPD?NTU;xcTTC4aA!8F?!+t|`i>cShu&Sm5aVnsS!STLo{I#u?s9dN@$%L{X* zDorX_unJJ>U8;m`jR=<-Xry~r$G1b%qO;5OV@mnV5F?AZ&JARYh+{B7nEho;k*O@w ztSCM*7~lpn9l=K>aS53o(D1@udVOs->W>HY)nJ%l5YZcw4!a+6bjXUf*sH>t3x^Sr zjJEcu6}va+s^XArQgEW-Cdonrdm0Dk-h*xHu0nSZ@!*YVe&>rA0vr}(lik?s+9@Mk z{SCpdo_{pDA|3!fe>7y3h1ahx{mX(H;Basa!$S4g(-f8*oG2h^F52`WWz_(SMxDA` znBng6qr?@g(Rf+4w5?(C;@_6GrDCg9%K`|gc?;EWosu1x#{lJ|jAIa1*HtZEpp(Tn zGh|!!3!Z>5ib&aOwNt3$)37jH-~L1wivnCq%&}^`gA^*`j%9k~(L#I>eUNf)c6j z4uY!Pos_V((t73yhcUjTA!{bWU`BN+Wm7CAkF;rJkZ(1}rL^`!ZI-gS*%T#=f6DPf z4^oXj(=@t^-EXj)BG^qKHtif+9MqJN7DL%-+WHJ-u#2abGQ%v{-o;1FMO^d`Lcb<6 z+yGo>{ph{4>EtA`P0TtPHN$4-=8iq$M}9{)`xCsLu8muXT9l%wD7L@deac9hR(IWP zGD+CK|vohnUMcI+p^3wo64B+AbMx^hJjeyHu1H ze-^qe40r|lX-YC$b(83j)=$wYl~P)(E;M9|w90OQMX|7O&@+=#n$oU@Qjvz4Q3diu zdqwP$tD=6JuAvFCCa8X^c5hYw#o^RD^e<17wL0ofIP)**B2J^~!Cj<_D1#jmLKo2+ z&PD9Biix@m<07it!1SR?IX|xNoq$%s2*SRK#zXHNjhBojE}wOrZ47hPzj?j{%Ed8t zw}V5r({bLQ4Cn5rxg6=BPX?NSdtqb|SF|6@N)~(3oOm97ov6P=tBL^7NsBVvZWa{ZCw(qPj=_E}U9J zt|rOs?&VgaCSWioR&t{h7BhLc5$h6TVCewWNNBb;1Cc01d1Q zD;&FBzG7VFsFA1^F7T_AQ`br|p?BhJP(l^Z z{kXUR=SQCDolL`H-BdN7Y3C>WrsNGy>ErgS%O zg8G@^h2J~Z`0zU*eF7A(Z|hEV`=1-6o(ClLD^_K>?Po$8Vbai zYwAG;NYV(1oHGCeV$yna^5XS##les`j~VY;%>%{<6fpd{2(w{O&@x*lPJD?QB=kw( zb4F=7qDW5_Dei1qozIAMO%Tfc-8`*z(>RE)ZgNgMOWyO-3zL^-}=Y_T5&ULu3%H4qp$^U}8OImHI7vnw%@iJOi z$yKNjfMo`%E~!^yg^L=SOSHQOqN?4I*?kjUFvP{HS`f%T zOvFzztB~wum(BZ{WRcuo0SOjGHEfCXn~4H>d2FoEOzfeP==-38R|`#>Tm2rzo9JDJ zf=mtA4(a|rYR1&6u6XbY^1$#E{KQ}ryqF9)ybLaE?xka6yfT9$Q8Z&uNYc#!fhqjB z#A3l#>eLT9D6(R)(f|C>1-x*~pIWsDn`t!$!pT#sI?w>RmQ^TUD=mqDT%A^0bS6^@ z7p0cT#ie~^!NHi9f|*RLOD@JNt$k&q%USiz`QR46C2h7-Hl_3>J2OY?4fc`$zRH zDjYb<7sUgHSxKb^y%xDmvOT%7*4-#WB2pYWl)CXsZIpR;HXIS&lyx;}pyVcs z9Q0+AD;;d^GT!shnt7-x_iS{w#o)H+IB@fP88)&SM+P%}v?_l@Not2yE8kN|oO?>* z-v$fwWsoUF2SbWkDw82)7EdY03Ag~8q@*b%}$&+cILNaug=i? zG1zg$aZar@LIP=B8(uFkQxFc#Vxqf~Lf{Rr2IFR+QR_!^?9IwLh{h?ag8z-um4mrw z<+^#JfXlN=`Br=mxU%EhqIibC2o2!GB5p*^l}&XXCBA-^oT41^Uw>t!wpXw$h&=Y3Hc^ ze1Y;eBJ7t>Dk?$SM5p;hEkc`Nb?7G09!3?mHR%W(DkW?Ul@Om-FVfJB>5i?@CUqxn ztFsZ^p#eviFW9e#F3e%anjY9YzGGVD)tDbqXpM zPtFoYj&48fqacHx*r52t6O715s;SF7xJE7%>@X~KQIa-ZfGjE*#<-yjCJh!+dVp#| z&}pXKM8{Sgn0rFv1C%CAvE54UjAzACsi73?fQG%VddPJHo-3MlWve2w*QzY~t+aF% zy0hoahXbhY+T(id$v{Ffq&t7qfVAszd5A~>aG*QD0Mr?POn#&=pWh|FvkO^W1UVvK z3AVAL-3~Y<_p_mG(KLE5fNgk4&?K2TT^syFbJ~wCv|2>b!SF;4%9K;|1PFKk@g8*3Ck`YNvsuA^e2 zlt!}*`Ts3nXJJ-TiZ9Gj6I`2hTFD3-P2SL6PjR<}u`1J)0u;uoqC&X-Go0L|R#BUR z`_$HA9)WY#)TCqTKPBVGkdFzgm{=9$X_AccwxSq`2;+CSqpCb;i#;??YUM4dr%kLU zCPq|4Q87GQHAI5wuV_X#su}VXFwu{Qsv9AKoCht%6m%qi$~wfAi%1d9yjU$VfG|<4 zL#Aa0B&xgN;dLk=f>HJT<5y7kx*=#kiN%3ZZ7fxjIPF zVb-uOdrNH#jMkEG;ts0xI-~DW=665cc$p(Q+Dj7OBR&Dt5DGq?*^#c-5EU@HUW#3B z(mHlGFH-yreley*cVm_H-j9Z^-69-hP@hSwBRyAY^3dP))<%t&?Fu*2LGiTL4KZ}h zpcvMZ0=-oNK=yLUmOMA04*3JKFxPe<-T@bTh3}_sR}j9Ji^OmvN;}Us%r%vgEUtW9C0dqnr>Nb3-bNHpNOnn^55^H z1e3OKrYfe64At?1%6loJy2KN)o((7C{+wL$N(M673H_!{6)=)cwcr@QdEij4uiO?> z>`5pQY3#ZZ9G<8?PPcXYC?KS_!4;`k|Dx-YOP)_2(013L>i(=rxY{6i4fW^Ehla#t zAWfc_=)D%{eB2sU(vRD;$Ac>&RYR=v$2ZGvR(vp0p{)U!|7C}u?E9m)nHLBq4qt6R6nPTzr;(PBrGn9**b6T>Jng<&qQlBea*0Hmib) zMyf)c?Nrg{mc;TOA=mKRM$Aq)Z&(#k3ozz1i>S#`f+8Zzdc%y?!ovpFUv{$<6pv6iQ2JYhfs|M>k*KJk0M3mWFYo`IEMItsbwczw4sE`3DAC5bNV@p=MMes;rSH( z3`-lY*UuR|@2sEMKSt?iD#eFyi&DIe9~Ai${zx^X{+m{cYItW~St<66|K|uO#pSQi z+5F$AgYHtjWjys6>2x}0ndG3uA;f3(FpJ5s+^kpvBRuie3&%5L2kJX^>nvxrv$9p# z*D>~AN7A8L?N7w@KEu;7rPA)Pr-Muuv+~)~?MXINSeZmnR@|1rX+qF#_HiX~u9g~> zz-h*GYxb;?IM)};tH4N|N+We^ImJrSn)SOyB=FnM<-T-=7VsB-4gSg*B`zo=(yu$V zY|l5TKDz(ywx!$uc*wD^|A|Y>{@3F6zrVhrh)Dl?cMJBv15AY(_HUm64Sn1NT6L`H zq_?=qKWB1@PI>`>M7ytWSQOF|VHl4U8p%T})Tw~N3_{7Jv|%1?fu|5Sc$vGQa>>8_ z*_5;`OUfl*u?b@&A^tEEAR6}HoAopM?-KpY{(F{wX8%22KePYV>u2`guj3iK@5rQF z^1VNqa(_noZKVHl-Up-JrRRMuPJDu9x#T@CiRDM>p4+W-+(Qq;S%-CaqnJ!8)kW=R zV=CR8o&l~SmUT=i(S>kE;u?TJ5mo=jL;Q-vC9q_20Kzf|QdpQ1%Ex`-8p=K(I58)_ z#bKIQ4R|mNj0pRqLp{=A;sohNxz4E0na-?bw!=v7T#vi0w0FRGii{~1dG2)Vu3n4m znH+LvAp6B^|Ffh?Y*>n`Ff5MnS?6#b0hlg|^_HwzZA8yF8bC`j2dI z-Qxxls>hL_%#ztteykx@jlyvDLqO>6q<|KbcM#}&7w7^3;+XeMH~FNafy?ehO3s+K zBY~tl)m4Y(`zViozF#;GXf-|_AIG0>&lmEtwpY6VK58*-XkMr}9S_x}7!Ii1zdLIcWcVcJvAZx-?5!ZkW?&qvq=0 zaOEl5Kg1()(dF_wwV~Tc0C)HNU#Lj5;itXEy6T4i^;jkNJEY;U|97$}5{lI1nM1%E z)+-#bto^`Q5!|Q;Jz^s27aD2Va6u=jw2{8SCFKdJZ#vxy=epIc&rY9-p6>3IU0S9a zmV)P!x$a}o{AIP62#R?jtE?9GiYB)@RQmMQwcH=TI_u1A#(D9o{NMJ50s^je3Glp3 za4~rDNR;6RC*tiet;~@_FN>1LUSD5fjfe|vToCkMZbOsqjGl{E@-MHnmgvKY^lNJ9 z4Bf{GuNuw$a12}LXz3VNiBf>5$gs9VcEJXh`#tt&;eheRE7u^BO>caB0GO=%l57cc(aV7!U~Rs{R1 z!Sz=*d6kr#yw)b%CkgRRCP1YrlreaQNhxDeF8SM+ z4GS~L!bVIAR{>yBFjv+NF{(;iB0K%QqAhX8&`pi3&@44N@|cd#mfE~yjM_^U4!vwO z-gnen`zD@n0Vsbe+K<&wmF*4sDc*j7ej0%&&`G8@NbfYxci||lhxq(t16>jJo#HWF zLkrvg7i0Mm2RdW9)uFjwCjv_kJX#Sm7siZege)!RQeZv22e~%J486QSOp7|2BNgM6aRiXN0w601lxfjKm%0NQwemMU=6-R1!j3i@OFMjs{lmMgn>N|RwNS|r|-_hSaGk#6ZPjX>%7y*7ceW}U;F{xQt2Ij^Ry(92rK+p_W#@!=cyT4wne9FmDJYpCZaF!E|ef{LOthMeB zpH-?RU?B*+g^Id~c+Ct=L{#%Z5K-}({oUjnz0wLWfy=X3hCsMKd=cqApz~&js NN5LkFeR5q_yc*{5RW3 zN8N^RMKp%j#Mb!XzPdH;GdeVq?bs;|r8-Hj&8j(5mEe}_b{yA%5yH(_p){pH4 zsAZ$&k}cTHY!i&zvf4IKNu-C6)ho|_+oei&G_+Jz7DL1;bvu{&6fo?mly52H*gX;) zE3^G`M#LXhP{bc8=~mk0SC9)f2^g5E?f^=+Kc%3N||VAETz zI~*1i@grr&efzUUG@5o@JB2k7USYnoYP22~f~&kN~lbVR|n4ueFBET$0(e z*q&n3>PZkMuIyFO8IqO`7g-a_|0y6!UOks{GNTWKvK4VCt?tYgI*q@Q=UI5iT>iC;cpSqgB?_F`;|>@MKW~ZTAOep z5}+!bNPw!G#q?ZqhRv=cnT@DQts0S}?X@kdQ%%7TJkENhV(q&cD;MTqt-CCRg5G+@ z@cY7-pG!e)5Sv=HX_E!0wqj)9rcrF$!Ub5+X}k7eZn5Qe-*7{Y>_OzP7#8KmA^zf6cf#{_N3 z2Jj3y|C~u!-?gCY0J@bcNgg`4l-a+*_o>x>toj# zG5+#@DDxSV`8!JHd)T~dkOx7Ivk6xacq0nSQLyp`chH>yk|xdJ*j_St(_XKN%e zBVjn)o?z$=m9#)QlL?;)d*m5so4rwuU;#1U3-|p#0gamJ2?*}_EqF-WFW!K z+}PLeR$8eUGogE#6XUR>GHo~>7zVu#SVas@!Zv(Lb(I?}t;+1?RWW#f0~9o@LvCyb zijkQ%LgDZaLTWGn+EBZb)bcaP-%3acw;Q7eEt4M9e_R!}B6PlA77IP!Trx%8#rF1( z8ST()vouc-4qsN2zT<52AxK8wtFsAv5N;!eg`eVWS#**yDlnre+=xI?n>z-*@`S0) z>l;4*lG~|TxPZ`V;Qa^j0TPsan}z!&;8x_XLfTa}?Ixrl;R2hm90?f5n~;F*jWmYmp5F;n1T-!u;0gVlf)GA`OoZ?;et`Bo ze?%G2A^A-Tp^DvilS05e+T(DMA~XyDf4PV2PD)7<=VGFr8++d!EL~kf#vzee+}0PW zy0-G03%AG>ABCDRYwi}q#Q&H}`O7_YjMwy!(G9TgBewoz zJZMyExV255%tpy2|A$+^L{8f<0Za^#W}rAF@#Y`ezi1&<5%P3-v+))G7yR zcMJ9NC{*_lpwPSGv(ntlVExrUU{Aebv9kbSokmDU5&A5`kp&3r$p>PV6L!X?*oH_y zXGNTTzL=o4t2^9`vBcm12L$U#OjZwRNy@+u=3j@E%DbUf@^*3ZR;(ab`Xb-lL#DF* zLOz$g$fjJ36g1gMHlbA#;!~NRUGi=54D}t&B&_fM%1}Fq)Hb5NI=Ju&r6B4%+&UsO zq#Hn(C6{%T=O1D{_)b$v5pt}jIbF=ggb)rf0FuGhy%Z`RCNe;P+l;~T{^T{6oMc(P z@)IrJLi&s#EoR#n(r+UDZHA%$(1Sw%dj5#Q??(E;Col{fk&E6`#?D~O=vV005A9gg ztsVJzj(l)Qe`pds@_#aP(R(E&ZsU*CYUbZrt0}6x_uJ%y zkPPXbZxbdn0cBJ9&^FTfsJvh75Gtt7Tfw$83OdG8c>iPFJ_PF-m<%f&YsWrVz0Y%Q zH&ce4z25o@!|^RH9aX zqJWF2EltKdDVPlSK{_6ThH-m{b4#~cR|ej!EGwa7Eyqj5h)(1${-(ut2g=30mtF(O zFCqEnki6GWLUQb6#LCVcl|5_iHNv;rtx>0TYp^Hbrf{qWN0iunG4t0m59#N@&mbV?6gChY9SE-}OeB zo;g3Z(&))0!=k`Z8}g5~C}&xeBZo!7w*Mi&#-eOxQN|C8QcaY1|7;k0>ORBRTOSTr z7c5i^`43o>Hj8rauqahTS!7YRwJ4Vki-LQThx|s1^6b5avFxxY*nctPPqZi(S(M~( zD7f2U$bauoruI8qjK6%~)PAlv9?nbCPcR5^GL=jINhab{#77C2OAgtDJ5|D6HsM-L zsZKg)_uY(YVvPpn zA*BB9G1x=~pLh&j;1csECbN7#Vb+|Ncn3jMh-a=P^I{%-Adic&)joKYU2C%+U^X+! zk@-0777)!_cbSG;UJMdjARCp4)1dB10mc;;;}nBI>-2kI4^~#Q2>x{Z`gK zQ9qTpU!$Nc-OoU2${j9+k$Ne zFjE?!;s;NXg(t7Y@%;9-&>sgObarmH=xc85N!MEKdr#&`RH>&OP!R4`Mt@HH`K=>9 z?hh@()f#~^1p+<$Iq{34&{+$8MwEQSX)m`>o&yEt@hG}n@=2Lukja#jPZ=$BWVFCS zedd2|SA1n^EX|HNir&9a-%`q7o@DVK0ltwjxX3ClUcb#W)pgPQMwNfP&A-ISCzm%l zT%KT|W=5gx{r0sJU6)_NOkxp2{uf^(BGSn@<|GM@r_a>5)FqHt zNS*Jc1az{ceyvMg-Di#q;T{AYT5G%on+Gs6b&&vAK}pVfol}Wl-fAkb_onbWOR+iA z;(zkjupJ?TrdHFP##xXT0I~v1fBsWb=;K7nCI4&_?$%URqIwOuX&;$4+sx%orj8~* zca7~`vn<@1Q8c znJxLfcXU-~F;qR@yvcC;EHa6&R=$FHoRVn4^m~(0>+!1A{86>$ld1IrOXo5c5b9p^_I19BRfR3p6?JIe|tJTn1w$( zDa2q-L;rLfyj=w`eRQMYvH^@3YXK4p5ZyMuzLP!ySv&+pqhW^|_ zOE~{Fs&5cw2ara)_(NeYm!&2VNQvNO}EB}ckRgGSU8>r+ykJ-V1nqoX| zlTSu67`)yl93=_y9wzAM$anCJNplO6a>;rNx;;q_KWo$hCcif zla@6rY7{fl%y^3#j5Pm-gpl| za>;fJ`G+?MNz1Tu`!9IOBN}xbcO2nN?slZIc#V%&eJ0o3mrw_(q)-!SRL}nb55>Z8 zc-gp|u*I-)8NTVRlKPjf0HD8fJH{Cl36BF%yBwm=L&h+9WR+wb2 zA5DcxtOZrEDNHiQiMyGF`lot2t73~Vv&G|}S5>{aO|FjdYeq8j&rZZ4~sUQ1rS1WKIvH%%I$ zn)+p$j^g;1?eXJ$ggR#97s*bUEL^CYpT$_%yZE0|D`VM;)nC3Th=bjCVA77x7|SP| z1S3>@`c?APhijV#yE(<@e;gN3ZqI-ubQoN|VXS1wk1tjn;)VtdDwH}lXWpO2>UCMk z^N=J{GRonoYRF+CjvIkKGvd1{SOLhNY?3wnp7FhrJzwf=$uNHVk1;eWLSmdkg{CTs z@{0MK<_u^Gg89-Ot>oj$1o+s>X@!eH5ujdczR`u;Gky&+=Hm>u!DjJ|x_HndhI~0! z(GCk%dBT-C@fK61Nv+ROwf34-n@ievOd5=pOvS~7;Ttfh<`@U`?_XSoV+J2;jt(Z73_T z1fO{nffL@Y!R)&ksBPCVNzg2{b)q5Tyry7ZjU?sEKK2S=Brd1pZHvNay=Oc>n&}&W z$#i^CjS-|+2cj_$J1LWdlnVi)nyOML!vTlCCaclRGbp^mXik0FKMWUbm`@UjEQ=s^ z5QzA*su3{Ysqdy0!F_rrKg*33l{VqcVM`~0(T^tww&VR7suLfaEIFg2`}d zzy*`^BDvHujrdF_tIPKHXz=ldKVZz`8c2LSbk#Ju07jbJ%ilt9+~~ZjN`K3;#XlXJ z^Qd$%G3i*B^nMQ|r2CdiKnUPy6z<0JU~kz<8VLM{ftaJ(Q!CEd zw=!1hpL?&7c{bzW9VCDuP(1Xw8OhLaCdu4tlnRr~-A7Gfk{KwyFv;9}Av95uv^If> zB{0yUd}#!mbX4^Dr8q>Q>i812pTf3J&s|-;LZ%C{>u>yO3J;nvHY}WqYYh3< z6V5uI?iwzitENJLUD~O5*Kt&i3<-y{uWLdP`qdv zvve6B;$Wy@1XsXDfhKF9AqNOUdKBoLKXRNH@_*_8L7$^QDqe#15CEau#Q$5Rhp!gC zEj4d21=1)~juC30`)8@Vkt*+wk(!E&SEce6l)@XO@>Z708?EwYk1#aJ*;VGPE}|}K z>?Xi@0x+wa-AHU!a~}KC(c76>BmB9UOuf?3Yz?lXp0mnf3qQ6bY~jKVVWtdhWHYT8 z@^{1GThoL^-QrXU*9`e_2dJo9)M=nMHxDTlb%cZldei|b((k`YNM*?Xp#xN;-;Zmc z3jkD5`zLzC+864#+ODHi+)Ouz{K-y9MOyw1UD8Mgs7T9q)Ie|JbghwNk(U3@dZp!$ zJ3vKR{;~vhhWu*)#FkzfceVV1N~2j?m#F1sO6&e>AYDx^S9yn)!mChuTb0VIRC)7k z9(kE!-b9l{J=a!{p+fcC%mB6;VPNcu_U6C6s)Vr;2TMtNy%55Hon_6uo;vsmwEoPS z6wSjR=sm3L{aVn);k|5b*=XAE`ho3bNLuGV%qxaS$OXpeT@rX1fDNO7i86Yi#Ic6_ zGkKUa|831(d1&s7sutH6zZVQ?4b-Qi!y5h~jNeGS2lkH`kvNjF3AnJ1{z{3 zDZiLLI^jn1M@RCD`A17T_{I6?zcxQUwM;r*v<1+4Ed=H-@@J2ts%A@4>ikNS_STfP zASL*S^z_0D)NH&)^)QL-*AG;1x{yn5{j%!V`^%M1=z)XY7+}j7h36X17z7XBg>s%# z4ot1{oOYfk^V!6RWZIRIX_v%&l8Kx-4hDNLHoXvR@B;wYF4#;j$D>o&rk%pHu@uVJ zNz?hbJPDJ5*%~lbHB+>n>n9gx{1TM#zs&DKjI54Ro1MyHz8;S$qg^F;zzz>wCU(#Q z2a^zgGiFH!6Eehd;R1^oD8525R4&qAIWMS$z`ji3LCcD;Mr{-e_cNMMn7*Hp*Zuc= z04XsDW<7ry7VvJ|elg{EH$Hz#!yAVmVi$Z9786qmcy)6gnrxtn5*00CQd!u&dCLB8L@K7$vQWtb8&g(sw$g1TIarvnTZH( zu>18Sgg`lf#X1#1a$dzR2y;!uNa`~v+c`veftwxl!tmXo>1Dy6iln72D`Z_fZBD5gE(Cq3v@M{;ND(v4UIM4nP>%>)txURfuiFAR)%)1ee5c$w;N&~T? zfFdi)nq>yPjA1qt)(XjXRKc?iapT#J9(cCFay(a?FgTuNB+=xR_V=u5wga4rZ(Jih zh4FqUd||vFCeS1qs|GDLNm3~+SuO=3nqI1aYp}_I`etfsQKuPufX^={$-#feb$~SF z(q^>}9*xQ)M03sr#KnX?4xzKf(AnSubeZ89)8BKFlbRg13OJKeu@Hq- zV??s@7@{Pqh0_rd-a=TaGuCcTGl^kFf3_T9xO3R=1pBf4V?ieey($X+oK-S^goG^$ zw{ti+&8%|U@X(-H2;FI*;eE>2JgRY_9lW@kP$Fci94!CnX&6vKCQSAml}$&iwi^hW zlw8X&ZK~T#E&$jw{)2y&$L3?13hNtSAuD~f4o_Z_|Kx!(J5pgg)J8r9ZyLKPzZ4wM z5Gti|uDD05F!<;tmhT6PK`uPV6Vg|jB>~6`OUz(@99EUUES|PM*Rcen%E+_um;nEX+ zg+l<;gEO<3z%(`@k92WK;9gv2Wr|fj#cBM-G;5KPn}H>Ry}=RJ%I&#&Lz%;^;LySv z95Go?Kr1?Z?!>`qV>uj4hQ+CGi7-Y4HR$0s(tDEL(Ph$DiphMJVbH(C8raDMA zwx&A1A6S6CDVsxh=tgxGtz@kL62^H}nIuMra;*HgeZmo*KwD*!uv-K=Qw%N2#A4%% z|1QiZFOVr&RU8{uMwMLY9XCIQgJF?LB;Fxc667a zdXweVC9(A1fH9CF!SM!cRDP`Rsx(g z_3)YGpHUooJcO}vJuOO!`)W9FcGVk6KzN)`I^C)|A_>SPI`+W=jq|GWhZq7Pn*Tik zasyKO&Vh%aCM8<)T-55^iuMWoQC~YdH!hzBICn(*-eGGNvrrSMgRoo^wx+axgymB3 z!8GnW(+h}ZZIHj>KcARg`~erG@$H7YXJO{6?$&RS6u3|PWwSsV>d+*#uUY;keieUp zbwv!{Z^q2Lq4v~l|Au{5J^Uqd{&6Q@Wad=3;_fML2P^K&wC335R?jTAiYbGM(^sAE z@B!q>eP<6+&Y6CXcOFlJ7^gu;>NOR65QtP-$Zm?z+>G+&5Z>wp7c`rzB^{SfdGe6$ zZ<4%Je|EBeKEA@B0mpe_8OcU-%|=iTbWtql&8qa$rBt~n@*yj5!0;fh?Jzg&feq}6 z%JwgU5tDm5W>-#NU$BsMMUd2Pe#>h1mPUhByD`N2=fi zst1oKXr^{xJd-BJzOS!6BKy9m6W_8^Em51sJ}}wZQa}U`^=Dp}=sfvZwV&hfBpkYlW|AqmDh;9bIY@il@PaN8#a1c!6 zJ_p={N#sRG3No5|4cc%WLDT*kgv4-H&{*ncTfRINTu+{J$tDoP=Stq?aW+z7A69|m z{GFtRrKUH)A&Ip5-{GBGpfcXrZ>V{7LuDrTh9dSQ7FQMI&e)8IPn1k507O5DU-v#r z-%cSsYZ3lgJuJef0T4bEMNIy{B0QxKidb2r09!5Kb;D7f6+e@dzYhedY1fICTN9%$ zWBtaU)6R)s2w1!|R^m9pc7sKs+CaN6=c9(#lL}!fY*5Ci^R8ttmcwC zST0UhTv(^k;i8)KN2B`j?Z8F;n1YhX=)3O$WXpn#{7(6a1xdUL^kKl}t4Qtz5T+hw z*{Mc92-S2$Q0{Q*ey^tI1N3=X3MZ(ZOD^wG^33|*#pY1xB&MOz@i3a3hha>fZlTU8 zhGO&OcLUUc7V7X~C}?ynuf9wu?cEby7|>it?1ABT1%-~@mqHm^+A`k4E@1F0+bqE^ z!`A#ScvLCMUoSHi8z=@O2f_Cg;KLShc`+b~24^Y2Wft&^Vn9|eU_b>to@@aRDhA{V zOfW$K?qLDP7X!u#_!0hqVwnZZBX(I(YuD%3WxoE-Z$U)gWreH!ajL#ZZhhi+1d4p>`>TVr4};B$$=z86X?+1%|2U zCRemJ6ZoI99ic9j&>x-+g6`0U#k!7CwqKvp_S{q2G7@C{18}Dg?9a%3Rt2NkN*E@y z>};Oj@)kwk#hi~(wDds#Qd|w2?b)#X{Lusa1gm^-ogJuWRk>)ao{NA4=(G3rXIuQU zYQsSUi6-+&AXR`(EIbkT;66@^1D&!yOf>{J#2TBk$%| z$4HTP{ya&-?Os;cn9Q-Q)J6W9^$MV(VkL#W1eGx2N`WII;Iw^)P&0ffkYgh#hOR3X zMnPWuGB}w2cd#mrzCLo`RUqasl^Xb?aU+=sV5BHq{xs!=het><5Hc<@7{Zs1^dg|5 zIOM;<%X-9VFA2?ir;OY{WN9}_^>_dGe|ZR_XH7clcxx5dDF27N@A5xS@qZLA(PD?u z{GY5i(n|znUVl=ffcYIQ^TnVAoM$`z_J5UTyNF*@SjI#%#-#BoV-4-aq{J25&=ZqR zoEy9Sk7Wn`7iTy-@Ugx0CUmcgg$r4|CjT6CJG5yn$kcv0l)Xk$>C^OV7~L^0lKM;~ zon~s(+-}l9zitv4Wur^bXg;J5`6;z;+2~%)a!>+@H*DM{`L&K{ugSZa=*13 zUjJraGr!}<`MRLdWNOB9s-qyeZV4rza8m6wXd~v@Org< zeYzE|OYG~{8i9YYqIw;=S^hkH0r@QTe$ouQpQ4_RJsZ!MiMq+;(4li zK6^hre_cJ#IU3J9sOK3+;W??EkJuB>qvR{gYsmyH;~6VHJPjvjPOpqzrT^W4-@Ebe zQT+Q4{*8d%`1m~xzccXfSv*v z{fBAU{CPM$N{OVieT#>nh3GR=PU{*Cot}aM8uBt}#_Vf=nHb(MOY=Cw<*WFF2byk= zp!nr1ehMkX+DDN>@EW7ycuEh7z7w3Ub>UKO9hPasWRHbtkZ_3?Fx5`_c;~ssd7k7v zr_8gcZe9QM+P|UkcBXgVdGdPM${|~iKamxXI zp{*LLu|K9i9I65z{ujKLYRRfZ@7=UPxvNz;B!^Hz9I}4^CsGwdaha1#Gc1;f1VRS& z18ksd|BG1z|2^TBd;Aw)Zx|nxXa+eEN<9P2iFGihn;IjZ=}nF8_*#ilSd01rhSo67 z`d9F_pkRNHi6Ev7qO>EmWbtan>N@|QJStjRIOLdtA3w$V9~1*iiOa5HQDTOnCCvzS z^qd66Mz90^CvJj%_!Z>)-@rAbj5mme>re_p9Wb8wusbewdsUrSTt6QHjSFw1_)G_I z;u%Etms}5HWhAaC`fW&r{$*tTZWI@eh(tDZuuvA_+YkQdqSp&%X#Z zsr9k^76uXgRZ1gQQspY8wG@p+?~{Ox&|wF?wJ@<~!>J1}tUKlRY`A1m0RwNo0XdJ! zkBh)DDOxIN$#h3ar&VoW<{-=l-A&`*^hd)CwxI&~3w zhlgsV=RuU&Y|pgS*qOmXpfXI5GanpKk3-NF-s%Vxm&()AF@dtx17cw~NSbD~zhV3~ zQgU;or90^FWlg7drDQPy?i4cghnEw*%Qa4&e=TBv$k7v;OVEYCF;8{jI)ChUzK}c~8KyN{ zMCMX}o-9M$WTqj72T)TYGg=_@B8cEI;KvFwrFX!O^kgc7+?Sv_?g=NCM%ark;P_xoU+Wi4VcPZrnSx%SLg9-)z#(jK z8NcUXw4q-9l9b-sZvKWWK*>4Mt11n46VG`iu=Bbg`q~?PT^fB|7JXe2eWmlm|4{y9 z>E0MiSsFIcxvx-yV{W4!4*4(sO$L@Uv=p&;x_Iee8C-(_1{*N<0T6}+kU&^NX4vRSFhWZDmL%#X3M()80 zsyEQYWKdv6mKQT1kVz)4SP2AnxePp}Q?oz3J+@IDm;Z7EhWE3aN!0y8We)l0eW-Ly$|-8%;O0^|Yx5;>w1b~-Lj(QxT+=}3{znEmTz!+c`H)ynS=m?ai*ABDIh5?d|eRRxI0`ao3uqZ|&^rD8RtA(TCU0jXFl zT}0WEHb_T{l=2q~Q?Z!R){m5}wmaI0Ps4G z%34?g^hy-#(YwiTHl~tzlKP0}u(UtAgPv;!9UO50Vpeo)sWIc{Juf!ItIKc6obnD_ zDp6Uh)*-Q(HDrL-8cOLE3-;E?rdS6`F^(X&@D)$Ips8b2DDuqI0Ou~3wz2`+!sQ&4 zFYjhIvDi=Ko8ihswNmJ3;aV6~!^4b4<{{ZWu@lMQY^CfOf6+fh*=Y~2#UcY#_i39q zSMu;Nn_Th^n|Q2BJPV2aHgT#-oQcHqZDOrTJOqiy+r)%Q2 zd{+|N*-$Aq6e>>7rgI^A{V)z*Vf0d*8bYO|j>}|Z_FtE7*fFtw;8~){#D`1JS@(twaBq4@4TC5b;qWUP?sp0OtbQB|E!Xz{qKeUZbVA$EN9> zLwdUx(`yC2@rvHZt%kope--F0K)X1=lLN@0@As_}SlC$3*Y# z0NM!8`;hiOB+{T{;dQb{Pg{!~J*i`BBb?^=Zb;Gf8s~MwO6xj$oml!60alM40T?v+ z5Sx1)$_<j+iW+$)f zTkJu3f)A7ioo_)01XOKjRC>Ur_bZ>l(mOA+QBuQhq`X{hGY{z)9@JhX`HN?C>FW5$ z$Wdk>g4e9@UNU&iLKA<9S5Wb#tjp1g!KY6%6`!E$g5a{-jXf{eK|y}sLVoy>)VdHd z8~jJ9-KiGxDFwM_SmFCw;n8Bg0vf-9(wc%_C>rA|jYWz^RK`4A6R;l8@>k}XD$G=% zTSl6r5uo`Nz};ryCM!7h$9PI4hHHF`l(64AzZby2W5NFi{v2AlpuXMRC_X=OU@d>j zWp%1mhZfxNv6(f*+!l6OJ=u*9GE%l=<7TA99Gj4Kq!fnmZch_ppl*#V94#dVam1V^0taSc37p=Sq?E^ULPzVFfQ$>aEA%!P;xgjuA&rvZdp4QVSPhk;dTJw z5F>Lef2Mw6!67!fc7_*%hilxSFsHuyIV0$;tBP>fW{`%SFeQ2@8Z%Fy$ni^u2CtkFkRkpP%+6z<|vZ8F|a~`@;VMJuUzsPojZnP0)!cD4cWuz zOD=9B5if8V4W%mMU*nN4}obFoAQBSm|(S^o?Te&-4zoDhYj&7 z2S=OQp4I03dZZP$N4R7~(Cfgnj9Eox48BVdC3>#~yQ(L!!H;$DD4>Z&c*_M3yRbx{ z+d1&~x@z*Z0}AW%0_p8qxQ?9TI{SF?ha6}Q_bMLU~*x1A>gr_*je_0X#i3tA_wC@q}{|1WFS05_o>%ctx zE}^abuEGF(xSj+5w=vw>EgqLw;9)f*+S*W0~crf-N(&Z6EyKv$Fem$n+@WDY2&K)Yy)Thcql-DjrHK6^R z{a1jj0%UdH(pzEY@KzXxG4Xkh&s;uc`_RMm?2C0G>z-+-J*^TEirIi+oV<;{WCp<8 zL(qr#S8Qr_jB;;HB13jlvo+AdA%F*8U;rjgU4QrW$U#vp(1(`z!iikto&5;gLdf}h z;VF3D8Ly=?LGYoi_x!up2#uMbF;i^(Z%~MJH|zWlu!t8db%=;{C?ImCBGL>Z*hB}t z7a~S)>ipYD`bLzp4PAQep&!1^!Mq%2G{_-s`b)zB3 zOogoRnodLb3yR=haNsM0GAOGHe^3$pPaODoKm~H)M-{<;$AKRq!DJWy_uP@dhPC`3 zqTol8|B?B27x>m9;4K{Bs{D~I@P$Rd@4hLL5z3>i^9%h@9QZqPDSkEH6HlOQFx4#Q zWbiPvfh&;E!Tu)1F4Z^U{S#i7je6&+3^~R&vujfQz#pT^@dA$E1?PZjzQKWPwveF) z{EU$GgoJj0c+An$KIZL=JX1yC+3TM^=F8O*<;N!x#jV8V6)^1i>t7KwI~(dYJJ!CH z=)KV-oVNcmz~yM5!8&<0YUKd?WovZG7@LCnvhU5sR}#X&GS6oru&n2ZEO2IDHbqE2 z<9cBHqW9@bB-I74uq)N^I|o#-Hmxprm9))Gn&87m!2o#~_XWxU$~wn$U$X8?ll#)@ zzO+e;k~i!f?v$KCkHLSDKz2|rQo);fUB+kpN65NxsWJ;^hqf!+#Pc>B5h07cTw>LL zKw&|S54ANE8^ zzhz07Yv_{7SketJ68L%;M;Sj;Qgs=L2YdZ*4dE0DE9szu3Vyh4Ho- z*&tILe@Kx-Bdd;wG1NS?0&a@wJy`J6W323c8esxH4Pe+vNe0!Ft7&!q;LRc>S#*{0 z@HrH02i27SBP==uU!oMcI2p(Ifbr>d{S9S2U9Hx|sWC4^v1bvRoy)L5XRdjs8f?Ic z9xPw_gLJN=SRv{s+B>bUaD3cjo#RvOZ8CDS(`V1IabIW`4n}y|lTa|Yx z%cJ2}<&83eWw-lEMdeRbkQinBAcP%O52K$`ZFtTyP6qN+6Dr z{j5@V*|8&1H;mFjxphXN%=UOq+Gs3fHkm~P45hdzrx&4ozCJ`@vr6y+6>6+9+Ibr& z85&{-3$*iLtc60q3cNMd2O&rQQ>?lLr#eJndXnq(mV{8u^Asba$vgOnnkI^{tX!ncue9Mm<_+ zZaMzgK_ulrh7~>8*%0dJNNc%6;hp}+h>jWqn(`MA{~gu>h1d0ala#ko*H@MruwjA|g10=KDH z2RC?KY``&T)~9R2fX7oI`P3QJ!zcKNRbVK_g58<&{w* zm+bwKfuzh>husJPbB`0=$&-&!T?8W5bL$&k7VE+pR;nVnoO-BXcPWCsK*4g(kt)ZD z3I(XmaY*tK>G#eGJ0u8I^uLGIJvmivx>FNZS7~ikjE6Ai6NV?<(R67Xt!4nyG@Z0G ziV0h~&Oa70S+sO5!13*n0s-wnV!MMFIjwaXOGe$E1!bLr!a>K#^dl_91shV`KLpDizsE&ub zB<^x*FK!2gEOA@^c?H=3$Ob?z1|;lqEl8`w@_HvHRRczaw+z)TI;mu(^u|iWZZB3e zrON^#yI>b!H}GlEw!>BFpx3$6=_*+%+7ttc<@7c;!i2HPXz6vL)YcZ?_G_LI+-MC9 zG6YqCe3l?D7`6@i>fFcG;Zk)1^jivNt~Xh7>6XhVhGB6WKENv+I+<#;-Ww zg4$OP5;BT$T~*0)spVE2q>{r^0hgCmTjr8uicpR!g~AY! zL3#1;kQY_TgaQsUW(-!F>L zb}mM%42~&4YcE3k=r={B)dpJ?pzT|P_E0g}(;H%xF-Kg00;LJ zU_4fYajak@dapn`8@X|v=E@?-T18v*SIey`j3^Q3*dm;dpAB_hrm8+FLONHBuns4{653v3{yBp6I=dEhMg}nS&5U8HmHh+&E6NxQrS96f6S< z^(ewP&E7@TYGC3Pwmok_)GRbg8fRDHj0KMD#q!u+F`c9qZ@|3M<+Y-S*W3_=oap^- z$ZPU7Piala?U@4AF7b32-xPpN&62klK~F7!mWEeyNM29`y;%V?IybHBK?SU59K4)e$3S(PL6gUl#o{{2*Y-b%l3L~2cV?FN?uj~O}1$X5Wa9__#+2VF*3b?kqaCM z#mFvE(vw_94k?2E^cks`VVj5X$;j>njQscDum*~eRSMBcWW58S7`ZV@y4Gdnwj$`Z z0%*<1Ed{>D=?=@ zi>s@nwdi~#ucAnt!QPD!eXs)5iO-u_+DHR7W_kvT2+d?Lzk=M6U9H=v0^C)p>Vpbf z^51Jzx8#-tBaOGGg-}X>>jcU=YZ9eXu_Z0@yNXb5C_oVb-cOl}02y|G1S8?>j6a0M z$KYIc{6`RvjU*+O%|?S^#+}-{OAlgZ ziu0>C!1Hy;B}aNLSk`Wdb41;yh?yOp66H-PIq7e1u!0D^Nd-}*Bk*WgB$XErC}i=E z_>3;PKxrzd8%;$l%2|bp4Y|8@Nd255>I)Th3QYQA{t}m)eTv|Zap0wmY>=4rKc8C2 z{k9G~m<)r&M3%PjPeOPCU$oP|pO=+UtupBaPSYd~wYW+3X zC(R%zf~a(ccfHm+!;|ya3$4;;$HzJ8QL<3x$$eML_g3<|M6*AXPX+*j~J{gl-1u?NlWi#pd=(zhjrXzP`z+hCPpy5EA!)fKSxL-AD3Org@MR| z_-m(KLW91;1?sKsW((N$v@|pzixkmt9%V784e=egO= z)B=av!jLt-D&tSV+cbD6j?p^11fYiees8=@QM>*MwlFZ1B3l^H^lZGj-grbi)f&E9 z7T^I{?mA+ixUsfT$Nc%+q}Kv;)LCCLt3uFf=YpJ_?f4=40N2JzLuV_3`bFGmlhfpa zwYo2D@-pZ#$SW1b7d2!#U8P5MFJuP0mr>>LA9K^;?uAUz?uFWWRO4kLyBDZ3XcWB+ zGU!!8%0dfYli~ql^E}OY_UyA;GaxiD17>7qrL00^Py>!5&;shoOu7w;Tn$q3hRHS# zuIG{;?x%V&v{-xkyFV_y_;h6!FcWAIowNA|u9kee#^1uDHrzvCM#!|E#X>}IKRP|7 z0>;RJJhQ1VmtjMBK^FiVPEIc3)JCrxf(x$whg>{~ zIKRFqO070wiK#BAikAAPeT(Y9iBf;FP)b#seHNlr?vD*iZDgqr>iTj43m@Y4QDc=K-jYZ9ziix{T8VEMm7(#UxU+z(XOswr7;?BZ6#l_{wB7{IVCIdMk1^q z3X#@m;;jI1`8Z4%tNj#W@WCK@yEKntltvZ?!Yda8aVIk6EwN;cBmd$SYx1}HvD;z= zCCy?}yI@%2?Y5(6?+6z9T zMZrvgA$rxQqUUJLaSdhJ;5B3$4oWSLUM3yea)1&w2iKA~_gNKl5CXLmsM9IJh)HYS z>-)>nm|5_GhFfNgo1h^dP>^b8VDw zt>&SH5@HU1>y!^DoefLp{e5j1(WX`z5Aq5}^+hW({nM+|R#7kNXJ!2J?r}^*muwYH zsUGY3<6eS_9ROmK5U%a7QeG8Ky;P|bed`3miG25LpB7ar>pIkEzx2OmnmtrmYhCZd zVnMfHwK!U{TB3GiL_3;Q?O_hE$~7H7+47K{^rixOQ%cZdZ^^s#S`@uQNw1>oK*OJW zvH`4xE^o$fpDz|h`OOQf$tDL@vT1xGiUbx+6pVZJlnpS3UCbh9Eb+6hQodkHG>s`I z>J$s3zG$laNBxyHFDu~KJ?WubX#LgULs9KxI?PUr#j()94BJ;CeJ;vXMJONNPmUA4 zH2!R-N)yMxCj)G0W;6(uzscXFQ2x0CJO^iQ79MBPu6>IW8QSNfaEN~b{;W~n1qoFwCJ$|{&3x2+9C=YSD{VjFnFpqKE zc4rfk0-N-pw3=PelbOLf)g~F1G#w>{4QJtaErIb)s|dFP;2@7o3^!{;n{WuA`E4l* zZdDb7j|yT|q1zbF09yDhShwI+`~h;xRO?ynk~Yn(_?@;=wOOxQE$OJvT%*bV{RPrO zYIt90xfb7F*KP*9zTg}bsJNCeaWg12^evr?)cnLEj?p#^eKX4%!0kTdcGm)K#}{#X z)qRRvZYxm5EM)c6WUigl#d;*2-;*1%&$n;0hXH07?0aY~jTc z`yC_-v!UFa4m%5xIhvMO3bb(#O<_YqEV$LIOfs@&I|l5K+U5?mKnD(kMg<%8jJ*?c zCH^ziKeB%<5-F0t5k`v4kbW@ME{GNeg}D8_u0&91HkJ^BgtOF9+`m2l)#c9MRw5`g zfkd7~Aj;U6;-HY{e@_t^HYoHGmhplmAOgNi28He?0Iz&8rJ#y*XNCz1d4BBH;e$e_ zk=O(fqnNPQvRXMSIM-6GQ@-lCmK5Pr;KYP|_-w*Hm{;BbOJAlgc}<~@#~)duhWCu% zF=drbN#`*E11+YlDT3O`zx$tCNTaBeX6@Bz-WPYtli|Zi>_vjR;JBrr`qRZx`O>z*R zg0T?cr>Lak;`OW`;-~6M(s8f zlqotcllG@!DKYpPI<2WRtTx7BY;{6^stoC4Kl)5gW?lO0?xp=IMIS05%%=U<5m*nF z7t>FZemta)9oR+m+lHkNz1H*>kp7;<^u->GNLaV?^M-u>F$}t-TnOE|9n2r^z)pmI(6#QsZ*y;-CQzTw-F?x znccM0!sSRrmt!8wI3 zM7T8ux_hic1i1xz2@~ceVek(HOq5Sej-z~*)(h@lp8(8y1eSU8q3%wvRKotLm4)pq zy7Cm|@=OKRaS@oJ!0fr)Vn+3MS-&e4+3WX{_Bw059zBBlz41NY@Ah*!pzC-0Czlu0 zZtxlffH?`E!0#ASQ^oPurJ{Y2q8akhrGXYI{+6EGfmNfO{4zAau|*iTpMy27Q^OjSkjge zLgX^qn$GC#kddICJG;OUQLrFc?3jR7r&zG^58S-4?ZKD9?~qA)d~br`7~34 zYLcfu1<7wvJeux77E2|Dba_bCASu7lz`k1S7gAc+E|j>}qB{NJJWT^>Pt$-8=_e7! zsSXBwDKn7QmqzFB+uSow0gMfY`40)XAw<3vIO#4{uP5%O0hXVq+)p1w?p3@2xu29$ zhkab`rX6vMK&TosVsQ@uwE(;Ylo4 zDo#zLEa(J}E!^ZTI_sc|uXZ>5g1TmG=PmvbDXo&l*}=)W?Kx%*)gUFYx)R#r*PvF^ zN#$_^fw}Q|QT*ICptV~irYOvK*mU21l7&7oZ9ue-Z)rC0v>u-w*YCeg)gj3m@Ad{N zk^$`!NLUiv6^|odp^YW(V+7o{$aDV2YycchEjGYfCN3MFPo*|FBVnR8>e08xXRu0+ z7KU)7Gu}pLm1rLEO3;eR*&EIYw6zb6>(SCd!|u9EopPg2B;FxgjqYF#N8@O4W$X~x z#zju-Z8q;_O@4|RTRY{ubMdGVSZU7J!d|t=1!|GAMz}|b5ihlA`oW#mu8Cfb_3heC zE^f6JfNJaZkkkSJ^4nWpzWX>uXM4yY81@nYR1f24GnZ1?7vJW@rm(lUTA2qtEYZQN z`r@z_+;bcI3w!M;Z*oVN3astzi$w z_G;VwZ)|6ny&AiMUp1p-^hT#%HiKm3m}7895g133Gcl;Ql?=f0V|lymu8_*4lL5PR z*EGWWp50_{Km0)bPCNH_y&}DrNQn%#Pf(xevIsV^Q_zS&w2aivD+B)8`gR-nXvJ9J zD!rwMCS+1dEAm6rM?e;dzyYtFmQc0pi$1R(!r78mv#s;XiJq`#<@UAS!jibm{q(QJ>C)yur$!J|&U%+OIW?W{oUXrqw^fK7jzsYb86Hprs78l<7IvSU%843X z^w&qW=Cs*z8tGPH28>T)!}#sglO4w%=v3;}ZK==goO+K^e>7FqN_}`+>Moc1YL~54 z!^fHSxqjiOIevU!KE4|~&2y7D55A5#M~yx?P+Z&#Kr~y#m>05If+PG1oav3HV!w3Q zMe*+nn?)Fk@^Or>P+(Qei;rk!*Gt|mj*nbAL#4cuQ3u*0CM4~-U$4yGLN0-L(|`-c z)yI(k>s#{w@`Bd5IKIKGjLB`>Q#RjbB~49Qm|&_uZ@wfDsibdeOL}|fqz@=5-I^pL zHTwQHy!(wj^iTo6Wq=WIO8`!8!@b(!R$ox3apJpA$NxpCwHQ6A_|j&{fltE!xwiPf ze5)1P@TXlPVU}r$sC_YH()H9i1oBlNouMKgvL@D97#qyYHM$%s&c1(DC`h~Ky)Sy% znCo98w=7*W+hU_^i~S7a0ua4pm&l;2{4f9=xsqz5i&y2X$k%LxRcl7xHu}LLTl(Rq zu1jx9uYL;VijVnO7qcH8^s_7aFX3yT!R`yHq?h`;5Vr`#ug3Fp-lC2LP5bLyIK#f^ zS2(PzDdH+TI;%H4n>Wn>tlnt5QdRDQC}MMSL%YQfilEYt_baM(%k4x>zuM!*n{189 zw8aT2;Tzq7ES<2rWQC>N@W&LWvHS@H0|6iImZQvtx_l(;B6}@rR7NansHjDkcmUlL2^dC~*_ zTTED^ivHz6Q7v~xN3Ldf1n}OC65Y}cZ0dtS&@RC@8G;S}s|9}&1^)OIV=9&w)n4i@$J-)eDjs*$XnYYUyzDCtNHA7 zXWa|MxFWcnk53YvYnR9ZOF?ifm&Al~8sb z-RTshvO82m4@DeP5WvIw$JdMDqjow)h;8HL_R}c{PB)*i7g;@2VNNx-krARC7|w9& ziyp@VZ)@cxciON=VmS)@9b~va;gL({vjLk9w>ZujETd0R}(3R5Ca zIQa&J%?lMje7OyaaCY23BMv(*rlN+3D@WT%!VZSFTe}@?Ss>pReUcfx=2_F{Y_iCK z8O=Al`gbMSDk11Rww9|T=-UCMF?oZKjJ#P5^|h_g?v0)XJ&ljj>>ZcGM9pHvV6j`F zy(87R`wB`4PG7X~HEHt#!ATZ?_eS^pE$FrN%1V>AedP>FtGlvA!q&%D5Bw@z%pv1 zJ}WM+$x8Hv52)n4QUG)RtFVK_wo>y_CaL3|GE*pCo(0@oskVjk=gV+z_ydO{Q7K_J zh0$-7lD=sL4IwPCj~x94LX>I6i{<1X!Y!2fvV`UP>kyXSQM*RAbF^+n`>diJYWFdo zriL~%(n-bUswXR|oA9yH`ZeddrtSV|%dUPIrLAA}AU8dt>Cc}U7pbcd`yp3W-o&p( z$G=?cF0aa$f3dt&E|jBZ8f&Jd$x84m_H6{3hEp{8De@c+=S~QwrD-gtX;?J<7ezLj zx<%89a#!@u-&0@CO+Im7JnNr0o!j+k&G?nno#rz-4o!68AGQ-ilMngI(4qsYVFpF1 z8a6@gg)aE1Ii#PhWe!QLmT!|fh0Qc*js>l~?=1 z5V36SjM-O-jOQxr>!=k6kKXw{Ybf(?G0*|1={^88W=OTsYSbY1rx$nPdj%AKK(NZ5?`oWlh-Nivd;NE})PI?bidT3XoOX=T zrMlhz8MaJdW_Bq>w>ws@tF(jJT5FnJsfE+s*iTIS6tHRvc3tC*vzq^)cMKbqeOP)y zk!+I{UAl$zw1t>(a{S?7&fWV`v)5u{n1PuRL2GSDs$$!vp`kgT&GB9*;2iEvm8Zf- zUm-=hrZ)78(z@c4Ln)D8e>0>74m$}BeK@Ct&Z8h~)g-&+5@F6KUnG6DuBbBsEH>=` zX%l&)$LZB59bKqevwo@gZxG{R8cd4WLcCHBZKLAyjKk&nqx<0w0r@XJ=&WY?oUTDt<7G*7~ zITw01USgNgCmyG=YskLQcj@L;n(`Nvq{}zH(~G4`X63H4t?34%?VVnH{9=^U9P5di zh2|}0*;U(T+!HIJeUI5-ods%|0!cb2?lG2OK`}VbRBjjEY-v(`6`w;>x488|;a-Ca zer;xO7ffpWm33Nv0TJ2nRi)Xp2xm3sjGO$ zs(4peOCGXy4E<;Wbc+cWO?zBQ(^9h^-)Gux4i)m2c7`bQ1|j#FEo*5NUo92A? zAr-}{m(C%x{sI)`;*VB)W!gVodknJ?r5(D3r(>HG8O|QP0Cd-%GU|`@ZSPZ2HR@!Z zp=br}^1j94qfoRfq)3NIdlBmEC_=SRiDnsh>ivz9(~I}Ln3`QYEx8)*tRrePcDoXy`GF8(ES2ZqM)9JlxBHO;vTqA_e1Fu*Bnbt#>aTj!8BB5YTiUw#EX$9< zS3UYG2uFlzRqJ&!^W4Tc*eJnZ9coh$PJgxQ21LD8H`F93Y!MVP>4iQ-Lnnhd)1}u; z7aBeK!x^%@r5%wMjoA4$5KNLmsTb=%Ix8Amg6(fliGE>PW>)i7v6(E)Te7lus;~(% zmRRvkY5e#?>caX5TabigA4*`cn<{eJgRgnC4!2+mT&ZX}X*2~{Sq=sXYL67pgTK;0 z(_vUyPFh~SRLDy^)3WU%PfP!Fm>_uuT80x^rp4fCiJ3*kO=`p;aiS*NNURn{VywdH zJ^!jNB4ey`IDhKR>XF?D>=(~RgUs#ngxdJL4W|*?_?^szw!NDg6{Y*1+tk${R$AmB z0iq`TM?A1K4LcBI%h4Y7J^;?JhyNrChz54*$2%sai#Sp?~k;-TL)lmfYx0^>vcpbEBnwwKv>Jq@{~3 zij1LfhrTd1o;nIL{6)Ax=_iMp@$C;o6u|^jLoihe#3XrO&AI-za~`gv!#8z$@$WB) z^8gC6;Uo`4jXd}dxE6DWoYxiq6w-ii?ip9T#LTm(V=1%V^tW4=4YC%~{*%ll8WNcx z1Q)vuuqG_#TvvRLWwWMuI#gOrOS#EQgDfboBkSKQ*ux4Ik`NbfGEll$EY26dbVBpWe>+m4JG+E4woUhrzQ`$t;o zsVKur7!ZuOEok+rtysYJ7!jdj(>5nhz@7jjwLtm-8 zvCgKJN;LKxiZt<9{#vcy?a}@lLq0YBJ)At#CtKc@jO3Ly^?RS%IhzG-@hJiuxHE2A zbo^TRi;@X~z=5IqRPo)PX4>M6`=kKquWeWq7-9;GWeD*B@ggQLgus{~H6`qw7-N0B zxypOF{!AVHx?<&p){Vh4cccAyJ$#403JbIPi_)cgY~mKjPwr8=qyh?_75(F6W;SRh zMm`n8b!e?PW~E}dp0+i{Y!^dZtu42#lCrKr zNr&U4!#?RSNk&LI5|ZXhTfWV@O+fvC7Tcmfu4m9YurcN^7MFH>h8SYW;KbO%{OD78 zb4x+s*{Z2MVRgU_H|29Xn-`F;1}JVMSus=h&o?ySG<)AgPpZp1YCOwDpLv@D!>I@O-}n?|jw?ZRqllUlEuFsq8h;{I z3I#;V)t(_*fD8&3$MDB+)o)>waUzA*L5b-$Q)SRf6K0aTIF9TqG-)Hr^!0kf@vg_h zx#=2yRyNjOjBGR-8sWM`3la1c)X<9j$npA_HFAx9W|ua9oNV=4C~f{RuXZZROyaO{ zNlfJ6qotE|PL>n$c`!0HSLWr*$Zzg$d=K0+qD9u#G;DtjrIKvQ``Y)YCRWFV=8et$ zb}Gt$2TeVLrg`CvIL=6u!crGU2V~p?mbHbgo&ljPAXd#g;&w0wGZEm|&6tBfb28>p zxmc;q%9TzpY+8S83-)sHoaJ75xUHV3kC1bjS*#HDcJ?&)?1F2V*1h+508%7p@3qdb zSDj(#SV~(i;R_}&Mmp?Fj{L}zA)muIv}bfRBB9mEjnj!WV{!aWnwYLj3!B1#nnj)4 ztT)6AV9zVYQ(V4V!L6YQh7AjVZfmH@XUyjLaZ*Knw3Nz*rJplr<2+Q&4>hltF^d;W zpG9H%EN-)sOh){;!hE3lDv80I(O1rx+YEeTC-BS#(!wprw`cvvjbZzudnf3DsqT7o z2X9m?XX4%`TP8cgan@tI{}g-LtC85G#%c(lV76d$22j|}G)O7EB_jhou`7qAeun5x z+2wZxQl!s*2F&V(0J)o*R=CAvh{C+3T^sC5cZOAnyg5TJs#G8^n;d6OgHHvmG4h)^Wq*KKjQ(%sL$RrMusGJ!;^n1ws>+tY~sLijVnG zeAUFz`F1jed-;{%h@`CG_yIPQFdkV&)b6yawAE;?N>KKQ%-B`hn}CAsm^isuZrI|C z0Yw~FT4%DFDT~f zv-dvnaHn=Crd8dNg-WVhgGgHysW~Yed*3EMjc;Pj@BjeUt$n(&k}MB|y0l}lMBlo% zWD*tbxc!u~Se@jI6nAg}29)dbwbsvvI9~!So>|Cn1C(Dgf+!^fV{ARK%n#58-05c( z30o4wq-em#Zv6LlNJrWfCy%dMLf1kzL96l%>DFl0ZvI2hQI7G3^6%RxnAOGzcV>*# zzlY4o)5dNroyIRP#1G8YSHx^}MVuT`%U`x>Ryd3m0as<<&*hlU*w^dueh;*{aFDYJnwy&f? ze|Bfh@C;f6{+su@6X$IM?#AWBD_-f?4#JMPYuKGfVmb=$iH?#3$aiBxb#Z0!z;&_l zSy&w~&~;f+^R=q^8SAMBMv6r>C;i#T$G_cw5Vyojd2Oi zsdS!Fu|slBo*0y^?X5@#)c&xTldjd6dd-1qZ=)U3YAuz1WAbOlKC8T$h3%7#U3C8k z!d}{OJ+WLtTPoYyU1*!67dbnJ`1M!LFVzQmnBvP5y! zn?-xaY$d}sOW-@LY0^o3x}a2D&$9{lzBpw@t>ba-*i<)O#YEOfZq9BE5GP~~GxtYzm|H^ab++yyY!-~0M z<`r{S^E{50-FkR2m*-c{Q+du#J=gO75uPvj-!O-g{-s>)_TI!J=4~F7#}8WuLo{RN z*>|wJk%h;(qQ7lXNhNBTq?{s2#Xp0n1 zWG*xhvlEGcXxU8yPHs6crb!93wr=4-3Cs z-|4O5!hd)x{@#PZ|9LmuvSF6PFNV~j;)speHTyG=8F!_oCYUJ{3#r5L@dd8!aIa9O z39LJR0J}7Sr8z_@P>pO=Pi4}dmot%?HO=53i$`A2M#J{Quy_d9pMXMh9)v%(s7kpE zLRznH){tp9oaPGEUA5}2yXw~Xi;RrEOm&}frmOBgKSiL8+>_w-Gd?ueTs-455PkJw zUs}x{^b&@oxq%0T9+>R1DmH4SOqlzkKPzQ~SUh*4cWSyjP@Nsar;U@JAK081QaHBF^FC33$xttj9xXK$-S5>5zT(m5`=0j;3!$w z&^2{fTgaqQwX}m%a?G64Rg0FTS`q8l>LR)#Tgt8TIr$_8NhgdxO*si%qkCFYTycuq zNC#v=ZLIMzYmGiazmcGRjrOK7s_SDcDq(_Zjn_9Q#QF!+&vtc}6nap!hhv*`gZJ$(p{0mTG9F13$9qa1SZA^xmy=c|oOe8#)J<%vw$ z(3sgKMWJfBNf(@L&q?dG-tl(P*EZAdpw4CP`k|!3hP49YRg>6*e~=c6&DLuo&l7Wp`1UMza&FxWm~1W?_701f;33C0!v!FC=(-Ow!{8hJ?}5 zZ$AFS?tWle5TtReH3;rGefUYS38!Fxwia_asRTA>c%TH|`o|;(oBcabf)A2Fx?_yB zm1Z+*-4NYiOu`n6;9G0)e1d%0GO=FnV~wkD6MHH?P9y&wWI@6(V zaeTQWdOG2~*zkVpfO!47j8?qbA0rcsVNkxZe6p}pdqFi?xUA--a$;}6@@46bNmlg3 zZ_LOgZ@3;remw`5-^l+~eq#rhU*Q1x6-*4gVeU^&L-nt$ncu)MvyivE?hU;3daI3> zw>~g4FI`@qm+8FZA=dsc>@VqvemY*(Km0@5Ah$gGBNpy-URjhDYU^sW_i0$zRGQw; zby>@K5NUQjq0B<2GM3}?F1tOpDHn(*;JqmV%0^i91)9MOjmnG5c^$?6zeU5lQZ%?B zSbwC|SqCQK#*Rd|38a|`JS4-U>dZ_!BB{3E!Ed~pMdlsoR$pN?;$4m!SNFMPu+r~q zE|W5)`lA=|M!V(C=@zRgjE27Qm6n;}iAQMUN?~10n`F+S71Srv>yQ7q^ml)?HGRgv zF(m1;O@s(rX0_~q{|?&?Y7}`DY=93oQj6UhP%cF!c};n-4$iHy`b4P1@?kN#tu6O! z7T&A@7g)#4!0wmc>uWKv`=cLzWyUt^dI|3<06~q$gyZv4w@IvG>~^j73$6f{k)?Wh zUj>YKy`p{n!DQqQ8*mxn4egN6{RhbB$eHu;E%ZgP)Ka2kj(1@U)(z9HV9A`g3eWhm z15t1HM74A?N$GF+@{DZuRQWsHUGa^o^u#1=brkJAP;RAz$}L-~8veA`>U{^w>iu7G zjaE_{7KE)z+Vqx}yWqa)v-ew@UPUvE7fC10nf(!~d)RQIT@@f>J<7K~ zy28(wy8A?KbzKlc)~8Wwi@`AjPA$7dRC|ku-{MQZTOZR?+HpL=LeP_14FaB(EX2uIh+dg4&>Zh>f6M!Dai_K4 ze6p=-glLyDDL>smzj(4My!K4i3++@hZ0oI0(E=u)m$F1cnJjd2;a->J=`C4mP-{fFlHs0uh>9$nSort@kv?8!~Y8ZyI9ecjwet6a4dccDi2Aaau7pR zNKhFRR0WD5o3LwiiP7l}kTViFfbW5q=%L zs)M72dd%SUQ&;gRd{ZlNMbcJLtq+J#_2?a^*fD@^XWyLWXF1)SC6Q^BkkVes{wM3l znNHg6T2iqQ4q@#~j_Y4v8;hfQBi9}!iPUnuKG*u*Y?!)x1mlzrsc|XPr!HbY)Iv&x zO%eTW4Qj6Wca7Jp6ygMX3YAgx?*uqNa_8I`d*JnVGKDq$a!GyDBiaGN4xtU>u>)G> zsJuvn`W4M^-^8!SFf>#e-N8UyV+pRm zfBJ#B{=~DFXL|rVk754XMA!FxRj}dZvTf7a(Mc&eS)YOw!s;7n#*Sn7Qpnp9u=+LK znV^~lHI5@OTEJKwYXPtoIDDnF;}^zTrvMBW7h|x&qF%b`AAJZX5k2umZ54q-ZrVb4 z@6ohzVZZs?O%bG{)y(8?jn*C3s&)CbYLu<`@r8cgpzPPGVNXw9Hbp4AO7sqUQy?)aO*2z# z+zsTMtZjNDqpv_{m%d6~r?!q$1<^;Vf5?nj0)1n&z1$7H?b+PS<{l+58=pSJf7J?5 z!M4)ysrgWFhtF<4xfwHjYA1(uW(`Ehmjk22G##89d2WEP4I02KJ16f$W?1-`&`dxy z^i(m!!}i%^at2{LXlh&-$-QEHE^WSr1bWSnyj(xCMv8u_$73yivs)By>lr5^cVF6c z78kF~KPr{Avm3WBD%`30k^Rx-M=Q{$ncO5=o0rCfhS(2&&c!~nL+qHb-YdU-(Jmjm zt37s%*)xz+ot{ZMY^=BOm@9~5Wv;aOKPU&B?~!+z->R;33yx#$vRFL1s!$JrJb>Ob zU>1NSX~1j%eQ7`ez_K&|-?HPx)a1@0ya# zoL>v25ALDF6OSEot>H#+qkiyAY51Nv3fDk#Q|hBW1!~;kkyTWdIQL6$3RaB zpqBbk;K&>+aTDF-q=(J_)Dz{83nH}vDEiG85>cPrbTuGURZSXdP`gym{Vx4c$2n#@ z?{Nh!F}3`jff%VxpE)(CZC*6ZORZ^^HopY|^vZH7je#1!bKm`Wx8b5@KIZ-#=k9)7 zq3VmIf%}7F4zk?MO+%(s8xO_FnGk?#H%f@p|BzspK5_dBg}9R6sX(Z&+DYRO1rY&@ zEWQ}ayJIXF+fU;SOW(XGo49I;=U5S%mk0W3GR_w=2&ExqHzvf_|5ZvvJ276r5P!W2 z-aO6QX`JO?W|=}?M(EDw5$-&qtM<4w_cJMA=a(hJ&e+Cu_Ci|)L5Mi2dUJ2d@z`jS z3faf!gy6X-7Z=U<9dDP9Zo8+%IE)38W@>0KH5vo0jmE}^Q-(EVjSjyK+Qy&L0{|Gv zZJ48<*`b~<3Gfkv=SQX6hrLX6n@kK7S4SK-P9d&M^_@dthz*4KsxNr3Vu^6j!h7@$7#MI$?KDIvU#}$ z{YJ+36EajE&AEs#OTgh=_uTJ@IjPoz( zU#U}#@0~X0YgjIY%R%Y)r>n&Ic;i@QR%!FEDYl^Kcx~)#Xl9e| zX>|O1y+BN-qYKRGUQg}r2lb!!9da%wB`99$0p?@ zfy+?mOU|vZl=3x>qoI(QKIg)aPp3YoEuSr^d`RH(84URptwYL;>w}1d@dd=mV37Fh zt>T=U?zN^40(J>p>q@=POTCvb)A?8AOfm$B;>X?`iq| zS<83z$ZY(_TEcrgr>gTCHGDu7`!QjzwkZQQi$=E@2xH0 zyIQ_)Yx%yt<$HI__nwyT{Vm@$trs!+Xphl%vGdspn{wd?QMcdB_}l!2D3dmC6gH?D zV`XFPFHE({h302l47tSLKkqghPR7Ne!NuXH$7zHs zwT!&Fl*2=cMCXj#FB$6K`1GZU@ykc2h12*6zJ0a#6KpnL8}7JMA2N4brM`Vd&(qTG zxJ`H2b#l)pA;(xx7#BA?H`c^%Eji1LyiR?X99t8+KW%_P_WalRzWm0EubC%JC2R4d zIR*s%Rh4w&>ChbH)Z`fLuD*2ZR(?kKRtTP1HO3K&@7yi=j6ODB<0b*{f-0Q95MM}g zBX+)6j976%tf0|y=Y&%h8ofA$*)R$7M9T9N=x6>bOn*U0O&XXXZ)HF6H!cltrOktI zKppZ}=?&*GYE|z*b-QyDhQv_U0r&^k*Rc_ z_UV4N%F-RnkENrU{_;a^EK`p@F^ADg zf5?G95QATA;5R$)Yh&;-1HayZ&x*k(8u)Ste(Y}p?!ygyz5~BE2LJjH(S4=^UmAlS zHt=x{d}Iv%qJecGA*K8#2VP2w>d~hR{B!y~z#ogj?=bK`JMfJ$c(Z};b>J7p;MW*f zE9^j0jlmZi_$>~ckHOD1@Qn`q;0FRFRRjN-1Ain2FEDVw1CPYu-xgK)r4IZjG5FsN ze7pl65`({D;KLmF>+cU){=I>JiO~<;yJGOW4g4<-{JI$Y1_R&kz|V@o!v_9@1J91Z zYYcp=1ApajLYB`n@FoX-OAJ26z^``Ti(~LY1HagTOELKO1r>go1Mf%QxVrp520qb& zCu8u}4Scu*UlfCP8~E1@$te7hG5Ea(e%OJ(`QCv0jRyXr1HUB(Uu)n`IqD`feQ zffu^i!!h`71OHyCdi$cIV({M@`2RTYPu>}j>@={PBE-Hk2LFYDcRTR582m~Dzt@3Z z7K6_-@EaZY=`nbTz|Hj_{sqF~s-|MFSE^oO*gS(>0POl0_E=tNp9AdN81_ShJssHG z81{g{jsSM}S3@3m38s#%ZZ_1;!E=ha>v-P8^8uc_c>a;+Cp`Ici@9!|(|OM2c`=<& z?y&z4{_?YC7mA0>={oGtIJ3E><8mX=@IIb9cpl*SG0z`(7QLXDTg>x(o=bUN$Fr5^ zJv^V``6|y3c^>CEqF&6M#KSq?xl4Fn%d>^&ojiZX^Cg}i@I1y-T3O6Jo##(@R`XoN za}&?od2Z*~$Mb!jU-8U)VKH|C&vSS#1&OL12{KHFUl@}awgTEd4$8IQ!vWbv^dRvIjDsi~H1XA1!S-ZqAeR8!DAkHF zxLBj18T!%7?$GErdh9|tkOKR4dM`9?5_?}Q9z63N51y;_WDw4KGV&%Xd?@uvn=w@0 z&<$W}yq7!_u?VIe) zjj%?`j#xZK`SnJ-mdbc$;wgG7Z@aG`-{zRhnd+XbFN|r!v(puS;BRp!=t7`er&OH& zS()s>dR9onX16FUz_t1iFY%xYaHT7=$y2E~cGvsJg486x?mjDWVFov~(rh4j$@%Sp zZe!TszVUCfI3V>|P7O5){bBY~lQF5tmuEk9xN9m@V<$Bdu>n-K#h>^TqxBpZEhF7+ zU#Un|norTfP4*qhONv+ysi=d|R}c>civ#?cX`j3C$wa8Q2u)6*Ca_|6PG)f~ZsKVY zl3yQ}*_CWalB|0}wBExkuduneCEAh@?K=Ay~twH9g^cnq0 zP9meJhJAMVyrQ5!#`QaLs>scaEDVF5k-5}PpMq?zKuSW>TG|*?Yd*~)+rFS>3a}{4 z6qzVGO{+$PT5bfsk)5A)9A!dZ4EW%~#sGIe;*C#%dnRXt(Z_z~mdQ{!4OEultlzBo39bepfkL`ZEEX&q$avp8gHQ5tMdzdd za&kpWQh>(Z=}YN`3W5*QUOPqATLBi7{qLt`^mBvy&srEnKrZFU2h= zjor@7iA2W;ljl}8tP(wOhRFR`AaEf1sQ`gngH++x8LQAc!ML+Y(tOpPddQphyei)p zy$5ui!)npQv|*L#&y23W40H`f7dyJ-zdP@{uF0{MZfqD3pw2Z+tTnz(&-b-H?N@Lyr>OBB{ znN{p91yuKbBWSn|v6h8c?;_UD=G$k;uv;0HcGx8i)(m~~?`O@j zu@RuQ*57K(cdCK?togA+N3V3HjT5ZcTOft+^i~=P*yTM@cT8#=l@4)o_1*%~(39hO zm`-^xhm9yv;*O!BplkGkj$xW<&8rvhNocs`0mrVkqHyK_5nWD=?`t(*Mi4UfZvsXc zxQ3#)w4FZM)OkI1(KYo{?~BfRoKXk)Bhs=s!hPni6t%6fYtd7D>|oV%*d-zzy^k%+ z&gMPY3$_>Z_zM%gPKF4*Xqv3|TBFV`@<`Jk^aVt5kGRfSL1CFmbb{InN`tGxx~I}} z2cgYWnhz->3Ups~f*{rpCh*azxC@e!=dXFTWpLber{V;7?_W75KrQ<5`>frMKH0TA zzfPs*7JeUZ*KXJ?Sh;Lns7>1bs*I`KmuyXtm{Tbv(>3za?Q*of9hZZni4yeJCGYFm zgsk^e9hnY-n_baKrxKrFCd`D4Y1`)Y?pt?iu-eA7Ojoqr*^v=PZ{KZtMDF`g+~~T;e@_PP04^>G z8H=vW05**iSrwhw;ES6lY1-uh0<0f2JGXiTpJwM)d6Au4g+Yt?T`WdrF)V4?;zftS z^?HV+H%8Lyk@S){Hr`F%N?ZO^K2cA=)OfC#%lT~_w2+?94UM5bQDjfN z*W~Xrp_^prs(~dDZplWF;hT+cZ8m}|(rko_vJqtVW+OZ^8$o7pHbOZYL1u9_!hilp zx{RA-CTAJFEK^nfsDi$j%Qk+YilpztLBB0kwIWkh;*&eHpcW&k`KqdcBpj{Vf@D<& ziFoOd)MF%dk3_9X!%8*P79^`PNNjf6gr+}6((jSJ(hh!+GWXMx81O-<^$<^(YjAW3g{vDE; zFN!cqI8x$!8dJm#sZh)|B-d&0kKWi!3mK!4Ogp(c6S_&`!EA){vJo^sbP+Jmtf8Kq zjiB*jR){xbgxKGrF&49F%(H0>_H2Mn8xl6n=d;3bM4O4?R;qfHBQkTN^Y?A;8Rx}N z9p*py*6GXR{P>i72|+vBZ9p?65eq|9p;y$6*{GPMt{a#d z?+#JBeALz1sQpRQV?)$lAN8bc)FD^lCiWvtZGhSp{b9a3oX=9y`b7BU)M=yC~z2j7v);jwRX zeq5;dn<>st7bVxc)$E2*I|p6`jef~GUol47f$jYJfpv87Pvf8UW5vWt=!~^}c@O1|59yJ*or@ZF-a)xX@4{?30+-IhuZk} zryR~K%W)w3=6~_VP#F$@YTx((`I1Ynd3p-KT&pL%`0b`K|h zTRgg6S)LFg*n<1*8rUNRB6orQ@CAX`;czN>HNIu&Ma{WBIYzUO+aEociTe>Bw;mns z40`fmxS?=)5WUgRZ(x7JiGB9Y+6O`N|5`&Q#i# z$9wUCeyv^apFMJfehRi4x&IKZZz2O_%B|#Gw1k0;wgl6E4YEodCseNSX=2fm=BY@w z4|<*%!4PICH8P)9+ObWz=&z05vV1vQvt*k%jdvAQ6nn;JHSbosN}ZDuLW7h4#$V*x ztw0t>SD?Az-+OrP^6z7lg`SCJJ+ntow*rk;i9QGcT_aj~K45Qh!3tJjss8s=fJga9 zqJm3QutbVlutXMhM2ReUNOX5dbd1YM_%m4FL~YV=QIZJ4`hWU9{*C26$q!=B~@Se4vqxqrqNsL z+rH>t7GJ2rpZ>!{HlAHFSl5$xXw2XHjq~o+Ga7CS1v0^6yE>q!vTTOht}%i9sq{(?k)HrJVdyx=C9~2R)V6hS=8hY_zSF+&$%v z%N=QC$IAV=hQixf?w8>Oy=o7NPOV{TGncIQbBmZ^c*M!w6sB8h4_D=x;u`H#{=~wl zZ?$l0X}v2@ak~&H7S0)zCNIrg=G;Hx7z2UdM zuQM1J@%R$h{ANc|(YI0=Rv8Pi&%H)Av_TJR(O<$H^XlC`4(; zl<`nv;-_xtF6Pe=x1A-qBo2%^#|8uv;y>-><=}MZfy4})7ouxUq2Ums))uD&W}b;!H9bEzZeohZAuEe~q6e z=-uKh{Z!y=B^181enmIUlYV`fDG1d!oa=(1x*c+osE6kWuU1v)7Gw9umtDhyVoL9| zDqDD>H12M`i9)hz(VImDGmC=NVw$nEJnz4+;lKRbHI*~57lga=UCHcDnJSU(e^(FSKtqK5|W^_K?vYn@1R|YR4ov z81JO2YJcJ9Np<~E?p!3HF8=a?q%6&&0y^E48y7{zY*S1vu6~N05!!IJzo+!()jf`v3}D91KmrCjRwJ z^yNqF#E|D`5$|Qr^A&ntGI2ex)rapb-2o$qDLM#L8dThA#ZP<{X_)H*e`+#zvUBnf z!JTJJ_2^t{zUN<0Wa-6gEbD)eP{7V!c`;PL=qDV%Y$AxrlLwQ!6uC+V#E~@`QdHS! z_*Nq7m5qj<;+qR7|P?O9K+DgDK>=_w$+?Jy%Bg?;ZSSxFm+@?}k5dVPhEOi+r?M?p!bE zKi!s4XjR%S?vUj0I(OCmVDy7?oC{4UV!miJUWJUF+52^974%FlKNgs3aUib6q(kdi zpP~LjeTMqe0t%})WjW+#R{>REmGOZ3MvBoZaFTPwh!h}IMs=rXJ%aJD1{+G7%Z>h-=$6rR!^?Q<0e9sTU#h;P%X^$trjMh$z`M9vPR9|1Z_Rt! z^2ERqzO|^ps(dioxD4Jl-xTL)#+l8csvv_==`nxE+9-#tQDRZxq?25$SR<5%0#7b? z>T8ts#Ke*j@LY$J+CEBetS{V+oW$z`|LGNeT?_$E()`NHuf8!E+IOt6bf;m>%hb2y zYSQqe|4c`e!wa%W$0X8BEkEXKjIrQu8GpHvSIbbQQ_x9^X@jspKfJ8RRzww?2`t5e z9z+8n=mwL8XfNvd)Ctfp63O)l#3OUi*r1Y~ik~nYR+bLDcpt_I_)s$>z?vvGU(tNI zqa<;HQ94}C;VLqb7m0j2-FiK_Iuw_Tq&pz9OY6<@QTPGBOn`7_va z16EDyeUXhBm0Hz@ryE5|aJ_!2aF4o0oZ6|=R$Ll?7|RMyTiGc{A3OM=(L#AYHhwp; zLQAu_$x`k!oulA=2%YMy_1wi?cW`%U$D0XMn(9O!hZe-6AE-92IeFj?!rIbvY}=8TQNGSTULYq^o*I)q>f)m%=sa^uCA)t;i<=%J9-(~vJhh(DutxF_B0>*EHwFuGjAs=A@$c#nd=oDNnFB5*L;{0zH*#;Bdt#pe*mbVg2fZ;|vpwN>pn8v6?|SgHP0 z3T+0)>X?K|d}FEOqej#F3Y&zr`8CVO*W7UWV=VPCK2F^9_g4EB0WbTxuWOkQ64Z1w zjcC%}8p));HGD~b*IK?cz>xT)72_Y>f5lDJcN|r5mS$g3&V6Dd9a!95sS{BbwD^Ws z@n*|t6i*%4NIb+JjLtmM>+{xrL6On%woiaF%O=DqY!if8-1>yO6dKh?)(%C| zoicdn+0$e|O3fft)iF{EWJ1)@ds<)Ca|IdF$FfLI2dz|dr5*FFH7fUK`npOLy7v^b z8HOhFF3~}EXvLRK)1m!tB5`-8>n&IyLH|O8np$i+Rwcy{?*zi^h3|(i`Yg%4U&|FY zgHNu>C$AfBpl@LsOTH1XaeXji%m@_ z`fw_m0BzCg-O5y{8FrCGTHvbC3#9j$hx{2qu<(*psCf`oN-+5rUf8~(D-V?(XP4#0`NyeLl9(*c*{M(oiVH3H zv_IMx)8kD4WVzl7EuWEKPV6?3u=P$g70}#_HD09IY7jK-@~s$y$(~{OBiC-l7_2S) zcNT8N7_6E6cUEm#mkJ+P)@{iLVS!N^BaFY@{ zdbZej3{k*PaEn!BMXbLIE8=JascSdi!Y+HkD(+8)_5B%?mX*A*WL=jn~ zcjF?a`gDx5^or+^%tIEEmjy&zRZs1o{_nfSGqkODM*BiJSEs8L078 z#EII1I9G10z@zImU3-^mJ$9HSVV`eIR zq=eJ5Knoj;PFm>9%IUSOvh~SgZ97QLw-|pj)v>u6nv4>mQGzZ(3~R#Cs$s9uX_2uW zEIz_v8|$4Ca|o0!G~530Lgk`^YGTEmB={d{VTTE2lTpD#{%G%-HKBuTi}M_1mWIX$ zm2^uutX)IwPcuJmh!WM<2jztcvY3i~yda{a&6!V|PVS1d9APoZahw|zr5elaVc zYiLb>NmII8H2b4uV&JN>*572BR5naHS_hk=ljOXBj1$TE)Zal1M}{L}F&u42iw7jx z-s(GzaIq<{1=eeHQVE^)!NenD@eqc#G!%ct#vAui#Pe6gbwdpn$C>d)S10eR8E;ZT zph%228m2Se%yuXwY*9eksK6I0M<+j89)oT1J=B90(wIm|Ye?&wL{{W&uQ%) zU9jYNYeGbqDQzW0no!zGvOt{{?Z_OlU;QMwUZBDX*fQhqv#1la#!aG|-d9YX0Ry?N zfKSjibP^8ip`5PdrJKKLv^ea>r?tw^%p9SCEG80nS+e;bLimkEwpP{$!|{4kbHN_t zCB>VFW?ZQQHQ^*q!XXIrW&8QI5&WIS-CMY6+uJgW&8ou2b<=Pd$OuJMmv1RX%B%vv)>z!yH(uM9Os@?gyozQ$Et zmGrHR5}0q4K4YgkbIrKY9V#XaTI938X>(GRz2ydvp~;%RfToGDBj1q}U4?Rm_M#Se zLV)H5tad50@fR5AxIfl#xdLNYS(uyZj8nJKHmD_$DJ+9=xW!&Aa zb);@en~%vmZQ~h@RHzJYWW#@WR(!_Ckz^Z#cL|kZn&p`{AsVut05T(ByP$B$yGeV=9F9Pi^P3r?ZTQz4 zDw1TJu(={Hcf=BUgeC0w)K7k-rk`0Ouhb96ACDvVjrZ}-aP}Fh3h!%s#`wP)r$X%S zeGf|?b~gXwz!Cq6iN~GI{sTvR*Dn?E83&GdA1BDzXgym%CCsZKgt_4~KY6E8gNL>* zKBnZpYMC-wa$0f6M_3;+Ys9T68WiLPLHvpltuj|yB^ck$ha#*cLg|fP;j6Uee*L%Z zf?nKK;8k!^yA^nvLx8jF@rI{Zb_4dGnnO5;!y+Kiv+e`*Zuw6ecw63G<>}`pX()cx z21xjjC`7OC(y~5@yen7qY6GCIw2W%+dZ(UT#x9M}6xV)Ky$}`}s>rJ_Phw|*ou0p5 zVq?96Bth7in05Mx;pU>zBY_mJf^kOYP~-4;P)@wk&F@dKargji98!fShppc>{w8*^ zD}HZu6~1%A=l>&)8tLox&kR-6Yq)jOma8H=vo>tQ=bm~Jq#0@40jqf3c&S%%%6eQ` zt9bpSxc~#*Ni;=$1-Ad^IZ{Nwo3?{j-&|9>nyH?Kd$g6jk*WRk^P?pV)cTDZ*&i*S{hr2L)KdzB9mzkTQKgC8~5oA zoj_{V)?}iZ)IguFfvOeCwL<tY#31!i9(qC z+<-4#My}Qw%LbxXa})-toa@V~ihw$q#Bv4I3u*umioxjYj?u|C8yx`A2dqL}c@Mgl zgX4rch4n**i2q3~cN%Xe>xDKwB6pUGu6mYbM9uq;c%3Pod;o<-U^enrx1HLSM#`0x z9@~NXfq;tm!)w{rKS-x<_#4#ThEY3s!vaFbf0+Unm_NOE$p`bS?PQeQyhwsHO(w<1 z-meBhA6p@ZRr!8jm#J=ko0W+;&H!lKP0tu(MDI|n4!Z*eo5!|9N^cOLc2u!eK2>sY zjgf&Gg$(z9UGZfGg9EN!hodDNU}v-fz~4U(-$)x?luWFu6D84pRA{;QSMbGDQSW-| z=kMj)^6qaOP2)9UY(e)=$nu&&zUTK_6o~ANUJ_Y_rVz&cy(OnFQ_Q^RYl>W$(dmFEmci3uu=qv8|~8@B<;(Kzncz*@%^D#yh4RsG)__o8wg>s+4-YgNZHAsUkdtsqujKrWr@! zC1XpqHMqw$gJl5 zbmzvG*au&C@nHar$v7xuw#vU2cqIn_VlxPJvFp?GvpdA;?{Z^Mzd)lt4O<5_Oo#PW z8;-3K?^d<~OW4Xvs630YeU2i=<~~l1 zvg+29aq*OQ;rm!>-$)H@jf5=QSDE=_(dn9EgrsJe_cIG*ZJ*l))+?zJQw4W?FYIkB zcY=^CaSuzA>^F>ljh7X*HDgd^Vz=7b?9qA8+GD$Y8~^F+#D~lpop*b_@jZZzhxoUz z)6E`T5)-y!VMXB^N(6))ynt-%?-V2^&S#?RPt)waiG~VPv{1D+(S$6)l@pmDO ztRfNXk8WmRpNlmu8aD#T54s4XLh`eMDK!OyvtBP9%9PnTL^5?30=u`k6VT$B`Xmdk zyQVl2Za;6D-?;HAt6wsN)|K6EA0<1Vybli~naiZh^01nN8qGi^WzCMTD&Yi!+U>Fh zB`#ROCzfr>-KhNzh33-czUCV`3YzZvL+ayu#rrLlzr^OBvfJ~&0v9`suhRZlTD8@0 z*l9|!GWG2p!0;!i+Oi0i$97mmlYS+81aR~@28|pAo7jW&c7%X8wjljnt+?nl`GC@h zb*MU)mbWlts z^YuW3ZJLcHRhhdLRmmCL&U4$I`uGl+YL$HAn5|6*GB9i$6DUaeZbfx9gqMAi z1qRBB^fde7U?1g6b{1JBr*;a4eH~2uK35ANM%u1--A-ThMow;_LO4U4f>U@n zP6ff%s`S%cZ>3GoVG{6P;C-A~jY=v@5d1nM)~0RfsbJ`&Js-Xk9FD5tY#7k`Nc|xittFu(>sb63BcLAUC%L$QwZl%o*oVN}wYk*W`XeT+R|M76+k; ztmuQ$sxH_z3x!q?2@Csriv^f}CQS*V40rooh$g_`wMfJ);ZY{=D3VxlkkXGv}`X zPkPdH^ooyuLlV792~`a6bmd2}yr6?JAkfb6vh{x4@znyR_Te+7rV_mUrQJtcslgs*(DSH^`uJa~(APNcgN>xVS=_*;@ zgtpmf6PS@R9L;4?M$&7a*#zqx+;6H#fv}l(+M*T>Lq;Lt=MNLo0p^?*W=@bMXp% zaDI?{i+KqW&OLAsoKuy7C1DUb+lRFDlc4|lr?_oS9dfYUo^4F?lX^%oCs2$$SwD35 zH^Fkf&KkM6ahurRTBP76Rofr9>ETXMW+-j*H3xyPX=A@kK|-#Up~LSu;+W9HifR*G z`f@bEP>UvTCUSBNo22lc_W>t0 zQHe8CY4@Rp``)+LLe0nZr#rNm;wJSF>Efk*489+shYoW}YK0QG(2olf?|$(a{U{;R zd&;XC-*2T>9TuhtQV@S4x)BH>TW1mbw7QT7xArN3Y}JPi5f}`+j8lbs#hWPHP0C7K z7S%+8*4#DMbttWkDg093HeT4eFFWES78>hO_7(Pm-r<*W?xWVs;p5i^^DQGby*Ai$ zPXv3iSkv+9HYW*O>}ZdJQMN)XF%?6?eg|cn8*w-}JKs?eG7%XBtz?qfEmL0dx$cB+ zx4Z3y%h3XiJeYT}HQ%->sKP!HA#Qx!M~BO>k>12rmHR~Ayvd~damqwBd8)h8r}}sf z?SQvgIC_ZH(=4z~ha}y&9eN(82>rM#kht8ID#n-Tq?1;-=@F?xN#QR2Qev?CkGNqD zB%t8y8x*Gptyeo~>K0q5tEmzpiB9_uR`s^PKG$R=0EW*p@z1uAE;IiiE6K>xwvjF? z?Rb*bzEK9COxsaKex$g>^;fQ+4Fjs7@PfM{V^@9XWDmut2GsC98&Uv=N(kuuv2*?vl!_S#<0mE_P=wnxB9*skE&G}qkLbk zGCHGbl!*|}L9(50j5+4=Hs5O!%@o{NXa^`T-lg))!cr*-N?TY8^W}#pNds~^X|2sL z#l{SIdG>txSLWMr$}*;wB4o_|Y3q9jgqW^4Kz&=?#dUxL9z=bcjKuYQf=mlv?psW? zXR7%owmzpmNqP4}sx`rb8Zzji&CnZ4Qd=vWHFy z0gnSRy_E&D4BpI7UfOb}q^46i6;`ZmwMj2#q^66qDqo#0XmuXRU-Km%XRma|fz2r4 zvWl}IqDmFHHsuYSn#qp-qfC$;E8}qVWi91uJV=wL!g^wz8z1~j%X4!woIUto1dGo2 znrC>QJ`?L1H)HN)dVe?@+X$+$Hu$||C* zgt4Jwn@6tRT+v?cKL(?52M%IjI6hi87t3&Ht`-4po3Z}%jZ)~$814V&{$ve6r?b~X zdmK~8KQ87_Gqw05Zk0pQ2YrO+^itOgzZL)6>wj14SJhmbatDyhiKEj8Puk9W4VV$@ z_P}{Qu&zE^(|Y?fz0P}`_d9tfr;d`X$wInbB-@ren`9$S=oVAv&c!nTqJjLV9V3yR z1)-2}$6sxpqF7H%A4}auwOO?34b?WHkLn=@&RM_Aj7${lWZ{kB+(%pVW!BGPvwm#p z7hHkd#T!o*1|VRNfiZdvObHVOgj5uwf!X58g`1jpd6toqOJ!ILrD0?xH+qrOxqMZ$ zD?jn}+{kuD_Y;AW$%~B}d`sxJto$Ji)8y4pULwn9Uf4u|?Q{Y>`#?z*rg@1(md0kR zHb-S#Ah??8r&+cr`UituHmG_Xq+T_3Wg)JgPBdSrJ>$%*rrF2S)|>J*eVI<>47N^b ztQH|>G0d!v*u7$|B5jJ`1;Un8?EXx}CSfyHSrs-m=4t}?98|LHzFvJr(kN7kH*_J- ztH%t81VrDtpSA(WT9z;kUM0vF)dg}6u1@$YJbF|x@^|}CQZes&= zxtn%`LW+rwX9IQqH~dK|Vd4>JvY7=PJ8l|}&mki9nlkWh2-vW-=N-&G<|JBLCP7k} zGut=kRh&Dzl<8Gplv!QezR9iL>8h7**2GbJlAR=xz=G(D#upH^@WYv+qSd zAAJn2+_d-MMY){3H#JdhhANy`S-SB%oag%5lXZl%bqxEXqgJ`OcTJa&#%?mQ^FE#@ zZ~u&C$&0~VHs3y*68-nfl3#UDWvO>4%S|V_veeZtoqt~EvRtv8vNXro&6yD!%%Cm}yedZ9q+ zOVIk%P1a}cue;;k*oW&Rg-fZnFIr!nm5UC2q2r7{Zwnq{s zc+3(VOlzda#5InV5`DNQ zQ%_eGHDv)HDbs;0%=Z|E{)C+r*pp&{9Yc&qPdC;nIBNn?GE!54sy(&UAKl~vwLhlEoqf_n+||wFovnBf2aed?gGti0E-AOo%!R6% z?}u{N7LM4})Ai`Ye~`?hETdz15fIO;y+YtWTh(t-~#+L$6CDDjT1#)JT>y&9p87uPrDsWe zn1-+8soW)sHr-=-YVwwzaXwc~?O%m%+rDT)k2;3U22{dlo})SrQXZ=|&ynY!jdmkz ztH;J~X*!}OS9;S2z!}q&95p-l#%nv0cPB@CL0xsC!JUI`1a5T%t}p`oPH+SYC<1q` zn2EsmJqH3+opn{G&Vfg;Jn?6;#C@ljQjcDGSCHfjc@uZD4ycr^qt~{s54L)iQLUyG z#zkH+sDN4=UJNP#9b{46MXWePyss~D&Gh;X2b7G3-737gThj03^0HNP$E2DDskceo z8ZsU+YbfVRs^3bzocdp>`hT{#yOO0OL4auKQW%{v%2PZ`S+$!U=_`tq;%;_J)X%uDKDoK4Vvx-}HT_ar z1kG(Xw<;KN8MSe!-iz`TX# zl$g~kH%Or?tcNek|=0DP@JHQXb+`LRn=F^rp|4r14Y^-?*3>s7yq2 z7%*VUqJwVfsT+q1_t;U4kCrYiY!#Ak_BZd96!lJwEzY|mA_FZF>%NJ*@@gd*NT;Hh zm)~(X@5^@|!vFeqf1y!tH2$d0^(}3lE7MuXl#~;K=Pj)-89i#bS^ZhY-pCkjXS(2) znG;qgFT15gwr}f^<1zZr8V7Nzw3MN}w51)kM8$NrH~xE}`*x_oQ6;aBm~zw z-LPPAgA$F3vSPqRP**`41bH?Zb%Q}yL=B3vT!KL&L`X1RfW&|jmq@JE`z2a!)z%iT z1wUGYphQKbUh1XVqOIkLYZXN+-pKd;J~Q*|v%3M?&-eTK{qYMV=b77?GiT16IdezE zP_(Uo)t5QYdRRAUE6UO2dPr`B z%LJLH)iLHwX+8zXrJN;41K(hcPniGu9nIMLCkaja4 zs-nI76;8sp6}>uy+E$00#Spq!mC;d~?0WDDijpllZJs-=y@y10eO(_o?VT_4u|0aX9Tg#OBPJWp)g*{pccg*__qIte66uK%NSZbY}}Csyf?J({h2515C6k;zh;q z=<}3ixzsC89BHEwN-bm}OKQDKN3f0dbh(ew4og(itj zzG#w^ORTmIE1O zmm{$1F?cHh(XB6(YJGCct(Nxk4H5g9O{yLI>yq?#5HaoGouJBj8<5)Hj6=@7wgZVT z?I7f82RFDAKgGms2Si1Im8Ruwgl~5#ZGLJhHPKVD2rOt05HHyEC=Ofj0IQ*CRUvJAXW`(&>1fvNfWi6ZaU?B z!vWW{4J1$SInvz!dn?o((uKf5vC0WEdmHak8Da5xA9VVha9t+4m!g=5=`!RUN^Sxc zWAyf}#dnQmq{cEbxk*gJ29EF?693I&zylBV;__fqYW*14ZMYAO7Tyrlx+<%R*>BB7 zC`mWf0|+bk!@;8C{Uc1Wf$$g_OV7Ho>#me*7Q`FHs8U1N7-q}Ga^?g>75wWc{pHSk z$;%s5W;i?I9$&@PAPF~nv(K4YO;&OSb1FV)jq~x`IA9!550ZFkXG!-!MP-oj+{{N{ zImauDrK6~G?%VV+f9W-7eneZnFR9jva^YkOZbp=AJLSsRS&yQXbns7;hIPpGL}%XNf%JEuy+aUQdJy*2i97 zp&`yJd$))1CaPo^DPW#0-F$W*5I%*eC`E9_{?;0|uh7Y6A!1!{1Y zfA`;H7J!0Tk91_F|1vNWM21W0dx;AmD~R8be-+ugVUpglsUETL~84C9ZDQ?BqAnq18qj3m)EyqfmQtwOj(V=92SKJ z2E@_(%Jd_Y3z{44GwzE@)&wru#m7P(&_U7Ruxu36 zWPA5}5T3F%76KkUJldw0rPgd^f07YD5An$Z)j~nPT-N||q6mrv=7QC<-d;5 zS+|9~?^`n#B%{TI@$F?r;v1_2zHKZDz9aa4Uw^Zm2T=i1H*&Q-wZ77b@&+LMa-}B- za!8S!z&ga%xlSM{x|>m`Wv zlw5PxhHlONdK4>MMs6#mg!cO3n7V26y;+Yye)UPV^CeGyNZiO49L$+0YW^9BlWMl*5rzlfl( zZL=faO0k;T1B`wTLV7}#r>l9vTh|sI>hXN@EoGeoXWWVBZe2SI2qk1>6cSZxFO*Rp zzgqbPC5U&T*PS62#Af@Li$NezU>_)JLFxqGqeV{Jimu~0gTc{+-|oxuio?g`N@3Qx zV{AQ&wN+Foe(Ej(I}en?@3%DGsZNlI{rNEQi@N>(qWu1$jd6*$5q{;M7@OOrRTnK{ zD2f%auM9IQ8B%Gawq`b?%7c&cdF*~x$SgIzUI#BU8ZU>K4yp0=l_V}UTS@Igx zV>@G^9$9+(P^vFs>O(WB*DnQJSu2bmmymlbyt;)=mYsdU?5 z%nvhyYM~))$|M#BYQnwCt1PZ2h>)OEteMi}8VVA+greh}tVd;KeTE?ulE)>D5$noj ziu7HYQxLwm-E(+m(GE0eP_#neU+lzvBP;F~hosmr5OEK7;{G}-?(?p=#fba7*e9gn zimbS|>bTgV*EAYz!*KYIn32&lVCOk0%d%2VbETvjN6N=jDZgMpCgtvvm2xOjuBk#5 zVRTtY<$}IqBLW@gdQ ze6XRRJRxsrLXL`@_@lDopMm&7GNM6oWbj4|d`p>B}OMM@LrlKkDf6UW`15M$wAM3HWoTqM7rF&9rj4~UVw=NtzcJ43C|(Jc0XlJP)%Q2Zi>sk@ z?rkz(1oY|HZv=KD+}>UV3%=+!UBZ1rd{Lo+$^mje}Nu+oDIMVAd!jiSv-k;qE%U@8UX z28$qfr!%&ZvuhD76$Ff-90}jo9e$BJJXga17I3AX!0@s)(AOSk(m;CsFW#jc34=@~ zBAM^a?sR*(@QzgZPIHHUIVeTfNR{uQ?(o+cUbdz$^UcQ}r$Cn>U$mv7FK}O@<9VOL zhQSgDr8T#ne8S8NoNkjFWB#<4PFg<2gaP$|vmO!DZew_H-974QIGx_u$)^_ELwd3O zU;C0U7@}$0g!=TsBI-v&L4ZQ-tf10j{q6viD|wT-asfzS~#nN zcRtn8QLk(a3j1VZP&mK-kYvOx)#MQ+6h3B_(C(*rvAd3&@RNg01nEJuBlMQDQsP`| z7g|$m?btQMwRZFiZ_{Q{EURelWF2xdK%L2-b4Rk50`s;Q*LYcBoMT3y#huQ0Q_Ld>Rh%JCs|`}ll$SG}bTx;S z5(be~7x}3fP}7a&kOaq2r!2SmM*3ZIAQAgw7RU^*nT>*#pUO&?rrel$M2|H5MR zg24+6a;&P{D5E;vMIoRODyW=!MeQG6h0%2jw^FSj4Q>7Zz8M;#Rd4r#j(&&UMn{AA z%Dm?)641bE2UsPtW{iod6XqIT>~y>Y+*k>W9SEpw>pvVAD}nJAI+1g{qUAYkF~b4Y zvc#F#V)l~#4Yn7tj)cc*e>AlucBo+wCHu@KB;_cdG*%=AB750*mfD3DWT?tO<$GG9 z;5ns8`~8Ru%I+V;aT`YyWR@yZC*zX~F~b>smn=GQ72`z}gVW|}!`w=B2Wnf!E}*h{Kk=DJcX zVXA1Gs#i)RSzzB%sOe}~69!4xTqfIF*os@$P?3PvCj1pzl}}ECJOdF${_Q&uWX7;x z=eTk!6dGk#fDvyo5oLc1CNrCe8zxSZJJDbE>y5;(u_uJnn$&V?TGO>akLxZut%(Kt z3t+j?LWw{rG*a|YQFui`j;2B(C?(}*HO3iDbVMAaIrpe7l4}*x{C&5cCilp|R>eys z>8XV4v~Yd3r|Ro->lXC~oiUoA-K8v_lfv0=EfF|Q>)tmlf)K)au4gCk?901|kyaRv z4$5=7vUx$QpI52T859rN?+U{(g|jc0u$(9ftUU~a7gKh%K>=|pxJ z0ks_qESsyj=hU`~L049gh0h`{W4&Q=QfqxP(~7+$;M`>9ycf?4mE-JF9aVhQM0IZ2 z`w}hzpNezcW}*T(Zj?6TOvQ3TN(?ew@*)QVnK&lqbxlF8q((wjVT6{W3@z?*Rm>dNj_NEzSS3UQ z#7HMgy8y&YDm8;cv{Pqfs0M;&aQGh4YBIxSGzfXY@Cx+4;i7l*_bz&WIk2~ieFp8W z7hcLhEL9n3a%HXF_U_@_+S684PrRmcxB?j3>FT6#!oa)@jDdm4ZrACRjddyS5v0u* zWuFX!N>(OJYETC58ZR>_L;E*g#^#K_fT1V|Lv19QD1>8_J+owq_(AKWI#KqK3uekCgSo zuraLo-Wc}I7hu?ky~r?AS1uc_10}YPhqf0kb@4<s+ z{$>07!rk$!Klb?vzkG7EaW_mGsF>E^FfFyUjQo+UWp!jiot*a6OjOb$tWy0frtipH zmp_iL=Uo|hdskq&SReR^h^|HKI;?#ZdN*?gq^uB9S%8CBc%+A$b$B8}D$<~>&~Ju7 zXeAuM9OFej^?MNb0?Qv_3d)|Uu$zoCv%>KH7%Je$qD=sT5Nge5;Op<+YWu9r$>B^Piyo0dL~2ZMJ`@Ul6-WEvxrS4NxPmX z?LJqstO|Q>FmjZgHly8c?!g&{va8)WbD$9z50X~Jy9wrE;%(dr(FRCV%1Y!0moVr5 zF)v&6Op=9$DQ4f^UvUU}KjZ3Z>7>kDC}b1$moWp1`AckL=DB_e=ITWSv0~mj2bt`E zHAT*P^04V{c_%JJI1+V`#K~T+Q_T2F4-R@}t}&SWs+b?9IZgitRUz(nRyT?hLBk2+ z8yP^4Y>b4RZ?0?ASBiJkH<1khB>1MFlpsO+5p1t3_0-FN42LOj8Pgu5C~j|lQ=j6C z+sil0%^$(;ivKI`#bN+Z7&>;_qm@}2F<7p<(at*+am2woY%4lIQg_*JpF)4uc`N3* z8JR-$Gxdpd-<2i0SLj!$=9zxhs8 z<=o!#GR-Mh8j(5C?>aBF%caMbH4#h?c zP2Jc1v~f!_6B!AT4MDx@dKOa$F~Cq(RIs(IbWMzD=5_)xEi;TJxn&H?0TLA(nYdAE z>L)BJD;T`%)9*X9oyAZT@Ic#E5-8uY)}-jh`80Q;*Zb}wQ6d5xQfO=~8=a|d(&u;A zJWvQDY{daT^h8H&!6exQzXnxmlB^ve>>XAUx+Tnbnfo0hsaWkSID`OlX<`}UTs2@} z;&>JlZFzJ{rzoP(*s_8pN;`>wDb6nD#*?c>ZDUG{WDY>DNN3 z(t5NL6wRj9C$w5FT5njBN$ZEQL$&CkZo`g_d^EST;`|X&IAA2Hpyp>z)P}66Hy~DAUaaoYE}1LXu#=1V%LWvA_twX%3p9 zW#56(RMu@pWjbaPCROYL=56|R_kK)h=%6>yc0XAI6Fdlo0viGPH+9Hx8NyJ;a7$-D z>G#s2MWJ`I5GScJTIb;}x3DB27AaL`DDPV^f58@?1p_GKP^1+03ktjY!jL zeu6FHMkU-ZU8Rw4`c`=|7h134`3LPuT#o0x+EdzwiP;8EBjLCQT@D0+Oqc>%!bc00 zMMVy=BS7qKCH&ea9SPs~4^zaibCD`j!f$bc|1811OZY>0a#wLI=EVOMY_^~CQI6fueztJ(JZVqGKlyDCFG9`S^ zz^ea85`LsZ$=V#3c!)Ih;aSt&NOO{!xP3OcDA6;;%r(a`HW5UaP~5rwrNv_{nJK^>z$WL1HV4w7nFv3 zI~B~IsQn8M&`SGCO=tf@ zh4}zNmhk-pgvowOOmn&RTW-OW2dS&F^FdB~@`^dY&QTrqpmrh^#L9VI;R4^$NQ`Vc zq3TBOGU8kWjzjV;B*cBG61x=TbVh`ur4}K%XF8d;_IxX4HYR0ivJzjMhnMwm%&(FI zJlq<|Z!f^CQZk2j$L}uj zV-EF>-?ffkmE*UFer_>vcq06830?E2Yf#BB9S^w^BrDUgLwuH%bP~=?z00W=xKlS* z;h+{K&>)cEwV2oP*f`JysoY&cy;7}~Oq-bIXz669tEFf2n~e(me(ZLK z-&`Uh3swWRGO(f?8v9Jf2+ z2ai2u9h^k|o{^wn%pNGjdnElNBYX*htVNpDMzmcAxJ>794U4A)04C zLUQy<{LD!Ourxd2RS8Lrad<@SV1h+VY#vgtMBn0Q|+Kk|wwy zNxtF{vH-6psL?aW;Ey_25%k0vj*#JEVozY%v#{r#1u~2z)E$m-7Bem@0HawqvR(v2 zTq^*w!fgEIi9vm#c#Wi`ocqNR z1@Qnj-tfA(Lz$^C#V9hgFCLuNT8y?psoG{;s_GuuY7&03X59A@HSxAkt~nZ$Si1{v2!JR+X9F(d3mK}Jb3^L%{ai9dar4g+f>I#$lv<9>iAtUvcJd9S-u)gz% z7{QFMwLn$(G3cI%I#X#m_L*t8XqD7gkf=g_;mYh*uc#(a(4<-ruFPbs@S{~Eq{Yxf zH;7^;@=Js8@>4wq*>EO#RcdGlX3&l`FE2J*$n|)ISoh*SpYog_Z~rYX3@+MFFi}T9 zE%C)*;)R*f>R$u7@?cJgKBk2J?l~Al%hYDt!v|UAi!vGJd`(e=v2m6cGqR$H8#rAU z0!P6<+C99M6EpLttu02j_K0QBq-<|m-O3Cu)UC|yDl&s`RH<2V2|yNoQ3RBloJC;J z%%L0VL&+AXz1|GyG*eNTF1nio4Y6z`7y=W0)-Wx{rBYZ_4I-mvbV}zQJ5Z;(96w7W zoC$#>sr|SKlP;rC5Sg$V<3gBGvO-M+RV8IqkG(Tv3XgHo2Eg`Ix%@_Kfr7v_w>w+P z+WHUv=vzG2(LDN)d`~oQUC$Pi5=zV85HjstwuysIY{fxgn>$e}JbjU?Mp>}par>&- zP=vTpm8?+4^*+b-RIgIE{_aC1YZA!HOY}7tSm!$N*GYV=zv6I(zxx|>0p@B~#*fY% z$VUrgw@?kyGdebdg$<>0Km-|^qapt8$NyUt*!=)`aih4zg(5Dw8g+(ua#UfAw{JXD zuvTaT(*u>SAyf{kAQxyuw89j**njPmn0q7Cb)a1kFWy&po9yZ zkibIfA|9cHP{SBwsk!M7{niktT@3^EcXSjxk=+MhrK=XuhMpFGTSa$QGzO*8gceW4mH@) z!hF}4XmhLyEt)4+mD+Gcf^0d~oBBX;(XT8bnR|kmZm)}0S3=W5c9HYGCg&Bq&6%Ns zv@~S|Fy|ZL-+e9qxJZr^UTY06Mpjt=X>f7&i5?Pkl*|r8qD`>!taClK4eI~ z=Q;fPQKxqTZpE)Nk)c0a{Zs0JB=gj$^mw?cU?611Pm3X^es6-@`T~NydY@(+Z37Oq z(H@aTjOW0U-sTnF5?tY3(y~LHAj4S=2*v@*OPx^jLjS0JudI1g05GX*p}aWpOc$5T z%+m@(+~HWz(&0HKTrG{J*$-*uD`g67YA}m(#oBFbi6Grkyn@pg56zZsXvMyPS zyT0)4O`c{V^=rUcE)|IdFV4%kb!`*&2z>Kx;yHJ!-U7YSGCd;g$PzPkkzz7gaI0K7 zyM-%DulY0iB1!=FF1#m=w0M~AV39p{$a$}%7;|@xJdJ65m(ceP`f|Uz@fEFlH9V3_ zjn`ss=~$GU{{o(-fFC!idKd4nzx<2);fou{{Y$-wk&`SoAy@919-=ve3M*hG!{{R7 z1C4i1Lw{BGIpVK{yamI>+3j}@g^c2N7Jl3Cdm4T($L~+eD?s8*j52js`1CjwMe#i#BDlq{JQ_hhg_k2K0bRcF^CE4rEr4V}BUsty5@AFHtyT%n(GY z=E@te(dvcOFZvVx;{aItX&Vt7eWKcLM zl93ecc*+SPpwb@v4X3eIL70;u7YP<&J}H$Tq!Q@0oMLLCzV&>&J=o8*zahx6`$7nZ z$u#DOs0=TdpIAr6D{%QvJivyaq$8R#tGOnh=6 zzc?+P)JX1ENJ>m2&krnbN-K~my3z-AcK5-e4@M$C+!ot!4R?%oPggjCz%dH}vkESi z`9AEI=|4vi;ty*=l67X6%6yqVuk3^A^IU`dNkm1I5L!7nQG>jcg;aw&5KEv2ydQmAss`8Dvm?TL zwJv6OKTl;zwu!RJmx=pmpZfiQJ?fX$x@h0}U^0YkN`c#x9L6uIfFy5wRo4gX#V;TI z{3rmimBOc%@zJ_{R}^bS5d&7p4Yw=@`vsP_A>1X&`3++XzkFtJ4;3L>(FTHp)B%YC zzg;kLCp7UC-{Uy?CHg0p9BC3_#j5B??h0~5{jVcb?5myFMzzL_YOO(Wy3I6KRicUA zirl`9^{87@xYpT2EEf+&ud}SR$w^WQcS6|=qgvZK`!^7K^qN{Be}__&0ejTk)vB7L}zDbm^yqS^Ow;v89oSv#^DQB>+5G~>8?Fr@V;zoAn_hsv(P)~Fbz{4O;! zQNBd z$;c1lDg4Ave(qn9vpFydk;79_q~yNi>-Hx$8j-Ews_?0OJQjN)+du0@U#PV-! zx&>vX#%Cfwc;e;}-EJPy?eIv)=dg`GI=w1OTJLP+qxsWDP>)sP#f#D8N6FJ6G6+Nm z-NX=8PVI1dYlx2Hg}fLm!py=cYgN^YS{@A|D0n#SRYa72aA4q?dr2S}hMuMeyRR@m zI`tUc(?FjM`V$ChTPZgr+dcbnQJ0s+JipoHZHxDGcrS8$|4F252ENMsIGo*VWZHb83cp^o?1Hr(#Vh*z~7!?I8RD(13?UgVeR)0#8VeSK;#bn z0IRo7)i9>PC#t#2{?!{K%G8}ZLec5W5I9=0qR2yh*s%b4u z_;s@B*U`2cg#la{6T13?E-(q3Ye6M5s~xoEXez~N zNK=|z&Sb^S@RM&}iPlD|WE0fu9He3XCe|r8Qa$q**~=vBKxc3n0PRyR1cmI?A8?n2 zXtW5%6Z}BWi=}%^D@qrEdg}l3_0D$0LI>?^qD6J+jMXYU6JuqMyNUk#vLRrcApjxc z(+LRL&*JC=aRfm;n8=S5j-NX?c3_qV*U+2XBAGGcPRv&sQ{%|W?Tp>!HqgOwtt&Se zE0G}PA${lXfkTo93kC3t1VKMsUxk z8i8ywP&9FbC>bZ?hC}EHbb>mQpj^VF5VGnng{V)Zh2SYhDQk>Hdpzl;mbIreRnSD` z0A0Spi6Dj}B%}*|zyz&^LtC@kzZ#S8$vH0Ha~6KD$L~MzI{-p)5`Guq*XaaYA8!32 zS|dyum-b(%*1^3SF$ax|FdX$#2E9T(0{O1z(iyT^ryDYoaR{R~YUxc6_3B|~*(fM; zLVlFMJ0|L1B7-GAa>)}7g^A48GC#|RKdQsXh%`j3W^l|O z)P{N&zsbp*z{3UE#7J-7ZrLKoS3cvwFc$x1xxL}OUp=u*`nch+*O7e@iq`!3{- zRE!}yoO}jJtNH|%cQB~eoTNuH-63aAkdx{a1$PE&RE+As@W4;+_@vMJU*VIy>jNph z`4R-Wz59>Y#6c00ny0}9EkRzgq~tLNJ%LpN5!^dLB1VRlastcYp%Q7$!zD7qh%i4U z3E&sjA`nh-lkdZjn<>j)is0Pf;4P;3%k?{L+*Oga(!-#-X&%XyP8b298Va3iD3of@#gb|$ z46GUgt;d3Jkv>W;BC#XUXs<2f@b=I$i=V{3WI?)FIx!X|5>z!W7#P!bR1rl`rtP_h$M{!k>n-;ltjTXdZhexmki)Dv;C4#9EvGUB8KTZx8tKA>PYWGL6+Wk?S zUw=??3PU1S_O2%Oub>ry&(e$3Wqu zLDTfOjALB**PukE-*j|+2;$$+|hPW-UqHP>Dl#k9? z%NeWf_a%SFOf#k{(ubC==|0YtI@5i0L=49jC8FJEsY1g}yI{TReR~5;w#vWyd*QM zQuyhCKU}8;(<2G*RWe4-^Ii*v7cdla%h+X~kVno{a>RxwW>;iLTbA%PwR*2rh!C|3 zm{Ac1Wfj8YdG+q&*pAa=EG1v+Y@7>?IM2aZ_Rki;5YXPJ!H)sCMnT{G#-0 zLO7z)@@(nMjo#wChW8DRprSzN#uOF^PI`>DB!=1lxQj@ubtKNL_nOZtoe!5k%GJ~8 zoYR=4Uj3`W0u+iEuSRkiCB*ST8#&H6fU^K)J60-bZE|Q7XB9b~Q>km5)HOPF4N}!2 zb!~R)dX<{=s?>E(YMJXrsyd{q2dvLdeWfBhrjj-~NgH*>?AfkF(ko3;+~|ZEOxm## z5pbGj5s}7-W*4L|vUG3CN`zt+GjjgtpGqSg5z^=zBfZVYGb-X9l?>R7krn0LiGs|c zi{%bKs20qbfowFGX35wQQUu+ogRu9WQVoGk{<^yX(z-^*TXQ>QMF4Fwho$-{O6B^$ z2<0E-V!BB;sTi6RN*w9IuKyP$fcZR4x*_8-#?Y5n!V#vNnlXHcajF;x#{yPLW2i)M z6KEmrD*)k5p|=w_jh&9MgRu<8ChY)5-GB^IN(hlkotTa+z4;Ht66ilu6IK~Pkg942Y7$P!WVA9dtEDr7;p7!QcK zEnUWOspOMW$#K0uTYbz)9@EKVNH!VCCub+0no6!)UzL-*N++*EvZ+YUCqpH7Pd%Rs z4R)WcnqZjm(j*wwUJ=>o^=m24ny=QJMzg^S$OQ^ZDY3AX_5E0%zu z(MwKEQ8#+&czEmQmhcr84S=m8(r^?mwy@E-hcV4F2G3c%oN=l)DV;*0<7>|2;IR@@ zS*C@8Uy~y2zIbQ=`LJJabc=L3dh{R_yz7!^oQhpr2yWP~ovHd9q~g@D>~fRsU)&xO zOKp#-;<7GChm4BK(7cqXLSA!!g7ne7gtiV`r*?+6I16?e24WUz#morB;)WJ?rFlzu zF_RbUV3h%KP*#uWAq>c1D~$1*O_ko{J2K6iVJPZ+<$T62=kLKm%<`J{4HXBiCc_Y9 zD_ye^myi-4P^sPIUkKv!zQ`Ecu?H+yA|JSJot94&2=*fGW5fNs55un{h7>VO5$S}%slvLkYpusrW@>OQ{7e~1+C-M_LfGeGr!0@ayg_-=Y8LG3 zouBnnSs*trmqb$}l8;LSXNu%5_Gu2uRD5yLFX9xlJtKQBU!JrK~N*yxD#AD)hQdYOjB2-ia(`B z-byKNn2txepb(&{mJD*zQbQ@*Hprrf*@ZusT=|o^S2!4=(7_>KK{2H72m_6h7<*5} zL3S1)(e`2|NnqI6Nq0*P+uLy<7t~=+E$u=q#b4a=EezB*$-^#w!0pz&R{QZcE-T@V zBuHNmJ~!Z#Kltndfag+HNF)9DQKvpshityv`GKD(Qr)6H<-0?FBVC+5ju>lkQPpvF z_arLeLFL4k9!>VZQ{SkL`-G)kDDCa`4{878;|>Nn4mB&~EI@fXiCTfSa!-y+gg*OL ziBKcBH!IzwctZ!(F(^&$)=G#fbynaVI*@G03S6oK$(O9a89J~7ft0yM=(s1rDSp@C z`yu&$TC5*9v8@k5dMFTBwo*HV<$-0`${?XchRE~aOzZpWQr2q?!q{N4YK0WCJ_4)c z{zX$KN_t#vMx8uMVuoCwK@&}_zd_+@(om26@XAZnbu9{2>sc~X=TW=#0M>a8#hDKf z)S_2LP>qO3P4a$xLsZo0wGQDm?6oIBAfs(cOsNN|=%Ap|5o2~8+JRPtjKSR*oRhxh!fLSTZT6t6^qG75#n5>gAjn!6JGRtoM@dvh;CZOd{au4lb z!<9nWr;kSeZ(7f&PIM7l8Bk{*s{`to&;+PKi@m>ur5cz7f5?`>0@&Y=B2HBrC$$7q z4D9!HuxW;=)Ex|dMhDZu9~F#JH^Bjm{T%?edE@A77Nb}78j}W$x%M}R!E|t_3YWBy zvq&FC3=wU1<#+QN9K}v}PXjic$(A>Hp(02gr4UH>G6^;buBAXg$o`h^!|pPpyYlVAZXotQQBJ4rpiRl!8 z-KxTjy;xPHu&M^LC=o+0WOHCiVv-lKF8yb6zhq~61jt_mp}R7{(x|Ee(|Jdz3|I-7 z4c1TJ-YJa0Id@TVehKNa-~5W(Xb>aX+Pp&isFGXO@Eao-wZr>Ps1DX8HHheQV|s&s zaZKGqdxQh4<{+4Khg~z_aXoL$v6XDL?Jckbft<(-1Im@9rL@N|9&n}uFGnAVz;VjN zuGLpKMkzrYXDKRa5Wr)cr=dS9mZic$+wBu1u(v=mJuZLMUB`f|Q;-j43ge zTduUEtu@j~JyNG0iBw_45iv|pU7E_gP-Q;aNj_R9AC2Uc;?nHQalwJkoZD=f`#2}L zv{fV)gwcjCoKdGm0KdC6BAzE1l$(Iyr|NF(i*MIbaYH zV>(Gy|-3o03V4e9A&uq5Hc+ zS#4rCI70Tr=c%;3qas_9Vvr>41!8Udmy#rv$>d>`{C^`#OpZ>Fx&MSHp=hj))bP+X zpJr~JQbuo-H??R32;F-pcxpyBX!MRpA!P(g&+#bkWnx`Mn{}>85vHngc|_>}OU^+f zbCpn8jtBY_WwXGG_L^9B>$c?Kt_wa|r){6{hoI`yBH--4MBs+P;4VY8ZPYUaTLZww zEJH=(>S(M+tF778me5o|=^oUG%n1Hy$jNArHmVUv^na<2!$k1V=io7tTUOFU z2G7(GdK_El)iiS>7F6YwxH3)QG9OdS2Tl}6aJm?8RO5;^zBmbTiBDAYNYpv+uf2st zVkWt{rwhEMkdKtEcIB&*vzwsFI2)h_P9vG9Mo}Fi)%c_Dn<=F^Tk2Z5f$<9_qo3uR z8POw~66xW&c8G8Ig^^{+(rLsbeQFkJ_|iU}spiq8>@Q()UYq5*n!$qtlvE0=h;jl3 zc-JM{kP&sy=rNv@i_~1i%1B!uf{yIij;{$rRLo` zy6(wVWJp#AcgO1On$*Qo0>i8*%j-&p>ShI@p8%T_H-JX9MAbgL>$+=b2R{bWVk3Ct*nHp; z_!UfRR$Dct!PFcP>ES@c&~pLlfq)Ao((2+F1c>KRqFq+fVI0Vpd9P` z55)pH-qgVq)&VpQDqTvbDkOQAZVXO46S2Vk7TRC<0uFTZ1hSm$S%YGx4HabuID38% z>|+;`Hoq4{S`Yn0xc(c{&iF_alKD~lcHH=Bm}!0Nu6 zlX@WA?pE6#sWQc!V|EG?Zq~-BrSxQ@O|nU9$0HwIpgETjtu!fH?Lvu|U*&QLPSqfq zWA)KDWIz1k&YpDqld?^Rhpe zV<%c{#*C}VsxVVu=&OM>RZD1yNQUD`$(`*FAr9`5)kAsL zTT3t&^@};HFt<9(kK7Ej?(E^aCaR#)#Y*f^vjELI@gL z7-ritAynweLa%Sm1dbSQJcy&AhVAnAIVYk>biKa}(-*5ec&mUd33G)-Ph$?&zVHDK zC^V;27Y6GBUUrxCmJyKP>HZbF3$`raj+2u(qqE{cByZlp8l0BdAYJn}NLGl_5e-XP z=sr$}5w^Qr&_TjB-`7|n<7UX5h}pZ3%Pg?7$GK!rFhS>Iev>%CYTqN0W&o}UGd}aR zPqE{3zV?BV)~Rkl)ew(=RHwTP96VwS;T#H5H$572yUKjT%m?o7>r`Ek`G}iQLn6Z7 z9h_5x2z`JO6&%4!1IvXgdIckbor><$3gC68gsbZrQFgZQ3GD+HG)*5EIud?mEX9u6BG zQ|0nflV%WnJZt`rKiyX$o9-*{Mc)s*sHu!$rbOv?nRl-Uf?5vx&GEi*+sGZdigb@X!Xlk4NkNZDH| zyHpaiFCg~~ds~Vm>A@)!yZxn9_BOm3Y>0McrLWs`XHsaQ zxylA=A^yEYRtLKuKo0JPzsvQ1Q6gAtXJhtKeS{$KkQh&I`x?F2ox1o$v!@Xn39r!( zEa`bEI`egoSHsx989@PYFB)!@^lo0Dj4<5?C<%ETsFS}%WUn0Sr*@}yWG57oq^N=u zoB~6NGb7|+XnH~+ithUyF9sRTfPq;0b}>Z68TFGE0kw_(0@?79w+oi#hH(~E%FKGt z&NPyJMPUxcZ5J#nOiM_Pr|p{5%mx77spBnL(4ja&OD?wdpGc1V;=NKF zaVYka;$PmiJBpvUF-39G*L?MoUDvbq5ZOIgY|RgHDWwKlNW`~6ArSI9_7M9AUqJMG}_ ziFYdgN-VcT(8E6K2H~$P)^wi)?xNB$m$6a?EVPklv3i;}kZWm-b=ngJ3;cX~tiw;q z3FU5L2>4kFe#+Pe{4BU{*W({)fHIF0l4&heFcPa1b)mqjKIp5+xe&P1$WDL<&m+tr z$cRD6qk3dv3}#|4_hMJ$6UbN=k|bRB8|ol+Surj=Vk*bC5XuR@(vfBO2IcwBkthyI z$~3U~@#40kLA|(*ql}`#ViF+{;Z9IFIfX57Tzw(oVb%T>;nMh_4Pb7d@yonbMAEVt zg`(GErbk1rYDmKw+#L2uu8`DNtpFY7)c)taA{|ZFrKdXRihl|nsYC8ARGb#>U#L*2 z*H5MRFtSH_>aP&YnOsN-DK>*(IJfpg3TgeTy^iOq93edw=b7!hZc{=kBI6cPdf2Pm zMMz~)uloaa;kHcsi=;tFpS@j#l%i;aROD06ved8*Hn9#+Cy*)aaL#3;5{#F5I<89U zg$xNLD*TD2MhyPs5zld8z&KPX-&cZgl~N=`V)YJKrVA;FEe))~QGTg-4#Y)bkvr@t zZw`e6F~=c;u)aK3FT`uHV#Kgws9tv8ET}OL)M&5618S_X479RfAdA5iG?7k)23i|$ zG^^{BdGIFe9K5Lm`P=V9L4r;}bWflQ!d(QxrHh$c(6xhrc)3Cm9y2*7*nsPidk-Fs z`-#w4dJkmUlHI2*>7EOXv>WmU33;Pb7IQnpQe)5xHLPlBiZQZyOw`*Tlbdvn#x{fG z6XgCk@2F>GDI4~n^<2M)aikIysswZ)L1FiP=yMnxHA2z4f;@1OC&R<>^^&iT82kr7uv zOS37RJv%UX8S=oI*_Pf);R+vmbg?Jv6kRG@rB1oeIXjy8Hk$adBGI+|z6++U#|<`k z&-&!$-}Y3r><9#|;S|7Z{FwYtNvynT+bMlK6Z2jw>-lhfdu1XwF~MIR_``&P^1zdm z_N;96U_;XEa-5JaUlH4LJ;D)&2v1Jvhp^cQEMF1rw?6QPezRNs>)R9kkoE*G!}D92 zF5*RaKGPYzE|g4$s3+tiZTX5wZYuvLClsi7NL^rZ)ftNO$q9ZqS4909wTiu7=dZIC z=aVOR1-lo_=obZ%fhYT|@FR%yf-AvG_uU?t-*5W~f%%hjw`~tB?TgQ)lXJGMKdr4G zH#+vE%D~AlR*ZcyaFqplZ8<)MPC74e)kn~670o+5LD=d0@WWH=xwQYkeFv|~@!;{q zg=h)S@0_2z;hrV)Yjd|S0$3lodOa!~Pi0iJd^otGr8`(L;>C&)f0~%L&WUg@B4~7h zYhZmzbvg9~l>P8KDTqJkM(}4w{P`c3_QmfRLHwB#!Jp}I_+Q%uJb*v%Q1G@+1@GNL z_~X*nCIzqWQ1I4H1@GAch#5sv8*P4$prYAUKoy~-5!z;ATNLzvxMgDE-HLTd-zkYZ zZVN{#M(>sN{GDZ9*^irX@wIeiU;PEYpyQ{%;1_ZH^cVc%j-URTU)isT$SV61z}2B# z1aNgKmw?)wEzj><>Un<0rMSZZ9LVO^R`6>p`L&h&+WMdHYpdqhR?V-inqOQ0_xzgN zE589fKETeWv=?6-p9}*71j;<8J zz75B#&|Y%cUTSl4arBj0VGd&Fd2@yt%FWP8AS}7TyRM z1t}kHQ!?tMj5azvC;5;mHg)hwx!RSBfD)!$1aPfZE&|G%auL9_S-A+{+M-+nYICSi zJnNnI8z|f>I^s_id0m)87_co$Mzz?5|6UiUF9!3Xpf*s5FzsmJzk?TO+OiZ=7%FFP{r)L=2n@&}(WDRv8@3^4pgu2v!~=3t z{ah-3R{xZE4jmMGr-v#M>s0@gcoALHFPD7V6L|9VivP*cKb3*szlUp^=B-y9R|^X@ z*aOb7%j%GNWS3RhI^~P<)+yhjtC{j+`HCq$>*4by9N*Dr=lTqOA#gkVzn7T62lrQS z|G-pVr{Va!I#!K_|lqYX}PFm0O}S1 zQ7YvwCG6HGP`99eE9u`#`nQt)t(yL=n*OcLivF$5{~i6_ic}A@c&nkGUy6QyDf;=P z=wG~5=qCXE1aA5rrD*IWRLv9&@u&|=uaP=E3ty_Z0;N=@kW) zZiS}WZ{#c()4^!slWQkNV9N&2@1Ah;w>_I&-a)$*KJ5~?J{6!MKllq18H0{bqKO=A zo4^UgkgQU+^*;^o@m3~Is!NMi_N^gw=;0#y2LvApGlH1 zwE864Ia?EKlMj+V`RJ z&l9S6Ap}M(Bn!*16QlM9rb)ClAtrFuMHA25!q3Dszx|*>7e~%f5}lY*YX3s{)gbRE zUQH{7qMe1sVf+ap(ee&KgCRv_;QPu{bfY)Qi?L17bWeJ#FjWpcHy2Njvi_e}Y2ZlixT4@GClUSE7La{H+MnJx2{ZvU3Q?<*K>43UVUsNG zPER4NCMV%(323Fy>(gR>al2quAVQB$u z00vj+sPA2+hCV<7uzi5z&CJ1dh3C7lJNDW=99}&CmkeG+?W=I3UzPx=YrKV~pJyaF zsm9RMm=>}Yibxk@T3Wy;m~JdwMVfEZ;yO?L9&5Q8Y#)h`Y!bWO3D#+{7E zw=6D~L!HZ;7;Prh#JcFZ9r;+qc)lga)AFGeZ7aaV4BqFOW_6YBgpOdmgx~(#k>5*R z5z`n{t>q|1T3^sydLR^PecA$0S`EvSvZ_Rvz6WlmejLRQU7n_yCHDGFAmIPkKXteF zk@79m@GcD>)$mmfKh@B4hl)Q?!?1=EG>mJwNW*pwf2HA58g9~Xi-wq zX<}b*VC?dI<<5X6{%Y-S+?lZBG=(p6L5|=l@0+XeeWBc?gOxioUHRcE+_PN44aF+n zo2M&$nelh!uJidNzruV4O+3tkr2RZzl8$%vZK~YtZ}`)x-HMwYPgh3xJKEh>Mfcd+ z-A}uBWVrpeEBx$w`BSXjCVh!^=c`~(I3qlg;f`gvy+D+Nv&u_IGlbiChI>Y^VM*KAy;ZJ9{J2Tu}+HLCR&5ZDO zwA;}0en$9~4EH}W;@cVSPcz)xw3~f0f4<5H-;v?|A;aytL)E|Gk5{`5z5a~wf{gIO zjPQXO;l&y5K^g8~M*5NrcPPU>GQ%CtaF5P#mu9%fX}955B*R^v5kH#YuFP=9wA-|o zc!s-9yN!G{YPXS>71}*eRiCFLBYd@X@1?`Lw0n?t+u98SNPhfxs`@nHA?-Hd(TwmK z?LI`OZ`bbqwR^R82etbh?H;V%JG6V4b_efL`J40+?GEVhn06cfPu6Z4qWp-~ z@4rXUW8^ES-G)CA?cPu4mx(`9zh&yD%=VqB4>I*rru@fs{@DB=Khvhon7*)jmSLY~ z+O(Oos%O>$)=ghHb9$|g2KU1HS#TSVY18U!<}iZxm^N+p^o8|q_oC{V_45}PAK*^OAI~w#Xs9spVV9v~XgQsEM^x8QW z&a0j!9ww9p3(l*)R44ZYXI0l$*H?RvhsXHw9?!UO9?!w}J{}$iMtX5B0?B zFRQDbKifp}#B1jxAh@u8di|W4!3!IvFPJ4^aWZY*g{gRpSpVP({2N$dIwY>DPq7OL zGGoMNRnMN@P+K3IIe(r>8k|`>e__J{p*2p~n7&}w={0_L@;UX2=OiJOzk}T!?1U@w zcZG#`<}9dh04HY6Sy)#)eP;E=)${6u7f-J<<*cp={sbwC@2PkxUIkMm#Z%$CB`H30 ze%)oeVj9ccFsnYept`nrZH#UoccM?9G6!w2+p3rAZX;mgio)pZk$u^5`T9r;Bka! zx7j)I{v+a8?kqn31pc)4USG4IdipF^v-cQ%7927p2=poU%=y!%Upjq`R-=ypxZ|nC zpgSi+uLR4h7tUNTr!J))Ji!yFHcqUazHp%{G&sFJsJaq&c-evl(=XF})k&gr(9{>q zthvmUSYiZEoPTj0HFWUw85f}k306Xnx$=!qpErNrWf#wHSQte8RWGbVlh&w(UZ`6c z7mCC6$Jk4p-FJEafA$%^SJ?%18m`uGx~I-F2R+Kgo`v{(DZb|c&h*UpEbvt0Yc_ml z;A??|*LseEpZZm#|5W;gp38u7rl$t!RO+Mg6?V!!S8&h6-&)TokLh(io^-q_I>$68 z*Dfrpg{(OU@S*)rUQk^v-r9Xib^Y1XYa5gw1GN8{Zhwx8=wIP9!xI;vK|&#&iQ1nt zf8I%rOzLT>=p*$SFH`lq=@bRenm2de{7dHrs~cxl*D=1t_IP&eBK{0Ci?q1P@a10_ zqRF2;58e5mT)4bmAOCrre|bLI+CH5RsK;@kJU@c{o<7_Pk=G~BljrgEL5x0(l*{rl zO#S%rwmE<0AHDkc`|wx(Njw#o@%{3Tku+|VgM*79|Cc`@NJj(ezSe`5gP+j6hT2;7 zDQ;6gEHmc_SZ*>$k>~OB#dr44mJ_ufO(Om@$zRX59u1f7!fh#kxu}oxI7`)Jj%mF+ zbb1GBJYc*0Yz6DJtQ1IJ2gB;IX&rk3zhFSosU7Me6g3Whxr;v-zNUSPm}!h zwnx%nS9_49Ctch;De^y#1#274h6TIaKt|?<2CNGV?H1A-8`kd zji<*GNqzEbn-gF8Z%Mg($-v`Dg`XuqZ>8c3g3XTmwp;o0qT^QapLg6hmQ?(_q~bZp zEy;JR>Qr=iJU^OtVmt(P>iC_O;!n@gv|v-dEj=n;r-mIGHfb2wFrr~lLyv}AcIxyR zc4*kHVV#CC4Z|81YUt5$%a0n5h8-HVYgngYOv8wVK@B|`Zu>#u*{tDe4LdY!(y&g$ zn1*2ugBp4?-1fc3r(vgt9U8W4Sf^oJ!-$4q4TBnbG~D)`#;akch8-HVYuKb=T*H`# z5ehlcGMHfdO=VO+zQh7k?J8U{5i)X<~hwy$;m8gACGQ^VC7c4*kH zVN(XI)9$#2F%2UchBXXoSg4^V18)0D)1%>L4Ldbltzkz7Y}f844eKGs; z7|ei$+U?PB+jdP?2HdROof@vrfF0W1u3=LKtkdqehOrD7(eAK@!3 z2HdROof@vrfF0W1o&lS*yDkI9wL6vpBibF#fI;mp%zz&4HgMY)n*I#9S-U$k;A-tQ zutU4sGhmZ;8(62^@eCN#ZUZCQ9nOG3?KZGbyAAYc_cq8f)`gdG%j=F19)rEZXDQ{YP21Uw`8HH(eC79)0x} zeM*v3t)>4Qy=ME6YHOVQ)LI8^$-)2e)}Z10f3)hnb1d(TVfHj$iLKDeaf%CqG;13%e!pgH&0Z~wgzpy1pmib%l5co z|9gi|w@SBsaZTPq^R3(Knx6W{o99|vI-B$Q>{)BA9&zmcPX*4lZu+c$Xzz0_vbsP0 zHh9z5XIh8c-Ow`p%Q@E6wjXBxwsEp`_C6Ore#JW%St|#w`Tn}ZIac1C$8MgJcd-@y z*#Yqp2cK`f+f*AlHn@lNr&CUPbmmPntP4)OtpCTylv{aE2Z#4;zR=odZfDWl&aF0#%J4Zrt5@A=mL_m$!Qan_xY zG1mspsE~JdcjVyzan^B?&rzcy@r|)@l&fO!eq33=6!oG{!rypp>vvRbwuRXVt3rZwn?_ctUfrdS2HywEhKAZq2+?|j~K z=X~pwGq=8d(1JPE;L^SGK5d?9ojGjX@1DE)JnN~yPsrVVSIjEDdOH4>T1|%*Y+IHy z&zkhq;_9!Dm}7+_6~4S1XIWwSiCg)_@ur;oDr;%ZkG`+=jaeVqjjvyOSef;eZ*keQ z&HGw^{w8;7$%PkN4_^K5x&h@ES%2GSVeQ+KFSL$qulOSO)>&4~{wt3;q;Q6nzu{M} zw=bM#J@V*VKL3dGtdsXWzy41ronvh{`nx_w>(8|I-FEo_Ki(6wjyq|~-)q;OYSlIG zF?CDsDb@{t@ZkT6)+4o7j(U8NWvvceJ*Z~Jan`=I>-MQ#cdWJXwO=0fQ2S_Wym$D| zie4FI9r5EHZ4WFQZS7mryiZN@vDUG7U$Rep`xtAV_9OSY|Aq0^Yx|w`-ta3=ux1^+ z$CR!UPPX>gmVfq!Cni|qejKpJnm10j9y;x*7dl>s*PZC&&EAMV@SKE;}U z=Q)wT&pY3mGvWDnuX!zQRsJqG?3}`x*1bc%UbXVFYU|;qCvyMXug01``PNfDT7Qvs z@_UcuPQUMBEAFexIlHOII^?#;@}GZWycG}J{LvfFR9b4hahB!VvBzh(-8|L0?ybT0 z^?S{*ntstQ_VCVX>$tIOv4*@k>yv%1sI)%(c;M4_ zTy>5Wyt!)4;%nm8C+}Zy>YkTWTV3l0PyC<77g>2vEV)1O@O&$BM!(f_e>~B8@bhgmwwm#ZBI&^Dwnf3WTZ$EhQ>~pLYub%Twbi_<6|G`NoKf3NBYv9;N_8$Al zC~H}3F!^EoWNY3FJHu6_Gpr>C4A}ImlMr6oymx8yD9itceTSYh|19gUReL_Y^?;dH z`L?shKMQ&v?EAub?{1A)TlbsT^w>YASkKM8?DtQ0Ra?1VjeYaIwezf>eZRcwjQvly za%-q%t-sxN$BCDGHP@Q@z?i-pmQS$unV9?AZ)Z=p4*h6o&WGiQ z-~LSEt7N5x!6p9BuogbqdBhR(FaAH=y$4hjOS|_wAW9H*00SZ_A}HB05uNHGibxnS z0OFP`NrD6g27{Ro~j2Sa#FruPj9zYNbcq=?Tpl6@6-?i>p_q*#WZT|DC zr@E@Ty1KfjLJ!w`a&^p$fFYbRUheIx9L^cZYn_!761e88{kkc=9?rGdKmDfe;xU}I zffD}ThwFM~ipp25QQYX&iNDe+qPdP+&iyP+AIPbuuNZaXT?qHwPT4iERXi6NHa%Is zU>K+D`*4vgYYf-Te4qKWi#FUq|4-4gUg7gLpnG9o<*}T0;`~0!-b1+L!+r*;ArYLm z?sP5P>AksN;mCw=lhNFR%Ga~BTaD%LYwYCC{e3xgJ@0p?28`hf7LIztt##mTk6+tP z|5Pw%>%KTjuX8;2z{LRn_v0q{O@E}*A)1q}oBr1Rk_T7ond#j(IGod>t~V!da8#-L z6vQ=jEBo244Bxlrti1N_h#z;NtKIbn@1nU(XPNqlj#93V`JygE9LI1gZ&dEtZ|KC$ zNIjIk=|w1aUCS!!mfVQ*>M~(v{<U)aw6%FFf*BV#Z#zt@s&wLiGig)5J zYQ8U*JPG6693{z9rrB|o^DkShULMK`RUGku5m)|oiAutv5bo)qbMLoW8*&S84gFMi zIha#ZQJyX_5OUk&zib)n9?S`;lOvfxNm)fLm_5feJ_ZPs@v9!2Abc#F_Fw&&&!62N z#igI0xk=_0{vKW~`Hip1750W1<`Dzi`8Bo6ovh|4@|9K<^ECO(&y)QAti2tfu(R_w zUBRq9+x7=H_NTCT8vAFG$0hMy`P9Vsm+;EM%YX6d15f*%>;AC+-XSIsKz|wDiN(wJ z&;3XJRk-`9F+5H8&*=I797U%1=RDrylcGGB4?Oqs<|h4BtXEfIfDeDxlg9F6<$dpu z_=^?%Z~a>|fq(7K%2&kq`*{%vUJoNVIIOVWy?6}wr_EFFrXiK8-EsTIACdgmUq$_7 z0~Cz?|HuA7Qol)myP{jMyyY;$_?(7Wj=mHN{o0auA5+|l*IR7TB&Lv>qq|S%j5=3o z8rGSxApG#pe$CI{o;zk)eLIJ-F4RvTEX|C_vTzE0pyX<}wnLAeKAW(=M0thknRz3O z^mlx_5E)mL{5Wp!`y_giow*U-b4%D2-JH+HlWtv4{QNAoD|)vfh-IuizTw>U7|j!7 z`gFCkYNqTu(zx#SxDg&_&ppKbgTf_NxoXY_c1_mnwpemwes#+m=V$e7`F`@bEaSa{ zv`M0RPaY22bnSFVz~kM!M_tl%Xx-ACzL+ejp+-;mS z*z2W=V7leG?_Y`yeWfOCj#O9a`02EDdOYPXyZdW82Gr@>E)(2udvMOt3EL)yG#t^6 z3Bfa0%C$N#iaa;Mplg=>0&DekYSD=&PeqJ3cz?dfx(yYP?c&wjZ7{FuGfroS`>7jS zUb*^CBeQLU$J4UDDi@}7S}6ESo}YU0(ayF;6(NAZU*@{I1&F2rg0C#aluKKGYpox7UWC;fozZzl3D*ST$0 z9ka*XKQY%OdWuqfy>P<_z4X+aB?7_o14jp>X3SXLp1U4ve`wy*xf|8oT)m<+w?F#1 zbh*(poexo>o-T*hd~%%r_qi*|{*^pTro%Y?m$ z?^eIeBl!p*QQ%l-x04y=$tWL_29k9toJMLOmG;~ zWuIl&fd;mFSKhkuZT_R{Prc_9Mh)NmSM-5-1GJ6CxlX|isiS^Rj}GyE`$9kLnrHa= z$@eXPmw$fVq3YzAzOsx%Hprsj^wOt$I;w?#x$7PCtAFd55s__=K9XETgj4f~WPZMX1%QH7zTAO=yu(9rVc`Nmd+^;FZuJ%8)++Xco92Ovab9Gfk^n)HKsr=BKU73M~ zc74~Us!kld^zA^)3H9-7-$+`vKVP>@Qz#Fr(i(ft*l9uihiI-l57F5J!ln7s~zFu@;_&nk8zXOWzp8D?JdqzRCj;@}~>@ItC z+#|Tq^+lm)`exZ>hg+8W-_{w%jb1y?c2Y^l^czXzFQ#oe`YPSKSynl1Is}5vZ|{y8 zn=qw(-J4Q}`ppTU6NdC#aIqr5{Hg!b0XO}Bxf!;b?3Wvm`liRw$O#?7j=X*!r1A4* zv|UBt{@KlQ=N|1{>)fVmw@1z+OIFr&+P$SC7o~y=FuY;Psa`6V2j_pRdH&FQ^OEF8 z>gDS{`9!wb)Nbef!-s2Iue42GdUnwJYpcwIR&cg$Y7Z_oXls*p>zUK7GfxdsJHKan z^MhX1OjvN`&DKEQUd_ZlZ=5u6yaM5qFTU!oe?50Pw9l&F!L12fuXFJeO%8pXaAt6E z(e22xy4-z{4wv^H98om3<%SI_1ZUg>#q&>je6cR|^{RL@?m{>HdiCk99x)}m9!&Op zuC{*Lx>P~NfbtF`Zh>UkU16olsibgS%`?_>zwb_KYnnIYhuy08#_dGro-JE9+w3r) z!Q|MFj0yhE8w+yE#mQ%@+$OIMOEeFr2!flw)ujh0;T3JCVyPzdp_h`=&q87bDzHJTM!Z@&pNsGnoi8U zGmG#tS?q*571k3kZZvKGMS~kueRKP^30u3L%9#(WujXRm7O^i%JeTip}e*SF`YMt8WStk+O^8137A z^jyLxHT_fUCMwx=Rx-VGLY;;9!Sived%d}*9yTQDNypqgw~=P|Z#-5uYk1;zW08?g z&%L+1AL)2p<-GZ|7DukU-#_s2VD$}GlpkMMJmht6*@$zCbNzeubLyh9pzW*E4LU!5 zHE)w17Wvcq-k9;y=SM@y0BlHpq@IS-?ZW5Hiye}+A8}Tjw!YYKAmqj4FtZaXJ+ju_ zOAJ|Q{POJ4)Rt|#S#<6i9HUdP#o_k6Q#+8-Jnqkxc6gP9{Z*)At!Yr4v8H9nY-IxVOf_xm53sY>Sn+HddTIXomC7 zH|ZX)e;Te$ykGYD=9T6Tau%H&D+qsi@Ui!{c(vTk8(o*A6b)Pa!|!6swY%pEoZ`bu z{jLQb?*FzyXKcuj^LmettvI~FyK=MiP5t9>)528EH}!hD!H}FUfpFf*(E~=WzMkZF$h1^$V(1zkSHKx97}AbmLmy>_o2XhC6YV6`HzJ zIwWL8kA7~kINaTC^9rr9HvRkubU2h%>)!LEUysRF4;Q3nXUZIO{(fYc>3%bAs!F-h z8YxYa|D%jgWi$L7q@pfRQfVbnYOXC%YN0DoZqY@ctZIzM`z`T!e}6$UbtGt};Vw|o z@D-@E{7ays87*k8nJQ@BYKEYB>r6rOHk$-3+Uygw5S|jW(7Gv5)hZLHYF7zVb($-w z>F6q{wX;-GYwxV2-abG{y+fjsx^9M&hHkc!M#rN{8hUq>G&+4!YS~F$xuw3ba?8%7 z9SO%<1-^3$d*XTebCd)Ur#1rFO1v)cc};V{m9-A!0OIHjlBTmdM&a2XNrDtSe`FLM z>1Uru(NJO7ho5P}{DY`}3d{)!!LtH_@O~+D{{%srzzWYJ`P~KK5d6MPL)r`M@!XZM zcpgg#-k;2BiNqljF_X_J`15#d8H;lifkWEk&&k*?9NSaze3!ANk7lAH4Jr zUiJqs|AP-H{~q7rKbU?$z?o%_?Tzz6$ogLX7m5?-2-|Ev=Foiv;?#q zR1W$BRB(-@s{*P9stGCtZ40Ukst;-aY6NNmDgw0ybpiDR<>Ma)JPI@%G!aw=ngO~R zGzT;nG#|7Ov;>sYE#fMG<)C$-g6r(~)j)-yx}XN2B2Wpa6f_D{2AT<)3z`pF09puI z1X>JQ0$K)I0V)Tr0~OqW{DSI&ia;fxeEd@2V9-QR8R%-zT+l+$yP%IjD?kM|S^6fR z640Tk@d7VAD{vT|hvd zm6}8i_%q&L5gx~rngry5+kLl)P=QxSlE5)B32VB*1E=qiI#%GA8YvhWktp!N3l_W+ z#tU2`aOVPccpp4BKb`ECL_c6Zynh(E&*C_uNgIdbptnOD54pvVxKfj$mk-C85)l^~ zkwgsG;rJ5>;WV0hlk^nq=p_(H@kX4NSFiB!UgN6<7`>AV1b+C=O`cPR;U|SutZw+(AsXvY`W!%%>=%xS#mn|@ zWEM}dA_R+%%uj9f!_h(fWL9kBzQmuU*XYO6O~tur^dsRsa1Kbm-EhpISiLZlGIYex zC`1X99D2ZU5+&!t5o;vYp?JSUtUmazL{5b_E{E}0U9dknvn>8p8Y_v1rIUpBCh4$a z$KH@GnV-uXOFx>XMSNKL^z_pJEFX>gv;3sua$psL<%>MQ#lgH`7B9v# z{(tv(#JMC+3Q9hE;eWkwnTF%P=}nG@_>g}V_-;$WkbedW9}<#ndJ=SW^#@1nu17?!oTI0w1y*_%isn_}F(u_I=^0<(P!iW;r6?d?)-vp8h#LvTqoUgWOwF zaEoe*V#!NTQl6<{@)KRd!W%Db8kXScJjewHrR}$4Vxlx*Y;;&UUR48M zc85hI#YM;C^_>avUJ)r#3E?EH-~nqlc~t@CRSlR|O<-Pyf7lKFu#5h%Oa8F){UUrn z2v!rmFN9c|?6#b0@c4&E2p7AaDbG+4FgDWW(Z zr-_P|exNFB7gvoWe9-J1u^aptM>YTKGpfPn zUgwFw-1->RvR6Ime1l@!N zo4lo(IntM|4>7PlPE~lK`xTnrhXqt6m#e8}4hg(U{1fM#r7Ddwy+*k3>k_Jx{#={2oLW5~;p7kO zs0zKuP?c_5Mpf|i6jf2(J7)jVzJ!D?zU4$Ub7?$PS>Lr(3y)l2+@+FgS)_g`2`|hV zNL8{miK=YH2C9PCBC2KGtEmPTc7900XG+|e<|Hxwu%2q6?j@=s(@Ls>E}b5c@QGht zsAe9HXX?M2s;uk`W3TsA<(t|*CgHOmh^dx+8ABDMg8|s6~x?S_SrwE3NwtJ(sagoQVn)WVft+y)#5ehs1_Q$rz%~d{fvaq ze`QBi-aUk>$RmTQ%s-E+fzN%a0;``?^S^1)c`n($##GBT+EUGYHkfLD+aRh^ltfiF zYBp6#!fIw8znf}V(kZHiVYjHt29;A48hxdjS*`w@5L^W8slxk+*cT{D8->FI_ zYL=69%a(Me8ob_$@g|O{bgh&sZXc+MQj(|^51mO>W|l=&T9-pL_~c=#+36RliYy;c z6_&hVJh6^yp^o}1l5Sy6N2&&vW>f`x?WqPE4W=qx9!RygK9;K7Z!*>Vy$h)td|yvh zBH2q-H031K;{DgDN}oQVnyvha`FClcD(};pu5Xm1E>wS;-$c#>aU-3j%A+$5i*Lu* zY27qh#I7(_-^&={wB(zZ2ivloNA)#4qv6A)kZXPBn<@D%S|c z$TiVlS+jo~7^sc@R`xwT@uv>za!+^X<)vNGl{>nX$ye1-O7XY*mzH)$p0`XsbXxUX zJpWSnoc4dWL*p(_4%r^MS!^0tcz$VEdsJ|~_)LwPCAw2vX=&2d3bh*J;WRKo7opS% zWs5v5k-pFEsUl4)bmwH)+|BWZsPAQ)RrjwLBc*w2Ym95nQ1OBLGsj-kMQsiy9K0dZ zML8X=T->$72rZl|bb1uh6ZP6-K4<9X@s6_{kHOO+dinE^QEzl%<#mUYB{#$u+YPn5u==O?z>b>(zOA%FHlkZ*dAIdZYl99aH@E7HQWtD* z=_u-p94EITDVJZ_~aAzXmEeMWXWM` z^m$%vGsio9P#Y_Iy#s4~(8*2T_2#bcjwH3yEuO?6jYQu2yXvh*Gtmi!Xg@iB{*-==J|% zg`^%1gY3t-qGbWLA@*lo(VC+#5#hdi(QHphJ&ti2KR2o>JQ~SaI1$7bhO;MJMBl^V6eDS0|Qpua>r6cH$ zYK(dwDmyX&sfA5#zdYU&J&N(&AKgxj9QEe+{jsJs((kl6ODEqO&Z7#dpEzmffE&ih zucUQWo318k^6ZSiOs&08j~b5;oA-1>J$mY1a`tmUQ~U1SxAc5>)O%jCp5(JVGBr~l z|MW&TbjZBUWyvugq=yDf3rcW7gCj4`32HtN>BYyI?{plDOvW#>YA<#{`|EWi9mcqz z(DnCY)SEjX|6Og`MemoO9e>qzUQjv!(Vh(>b0hQY(56hi<-&fh zsK!6oVD1G&WVn8w|2YRkbhZ2Kzw0J>p+{3XUg)xBAnLfx{`l*34|D;I`RMFvk8Hop zYCE!%8?x8@{MFifFzVFmdW>?A7HWR;M*qXs9J+WIou2l+7t}w5&KN3gBv!u=ixo-?m`&2AJ)(>r_rbTr|KaMTEH#fu@CA~Q&7}L)XE$(!` zctSHfqpva(u;@6el$VWWLZr|C~ zD7)8g(c3%;y4z~{=DHw5v~8T;cjr}ZXx#9$@fX(zp&9j8bG&>5Q9=K9whKH*B8$BB zvQu{cNXMc;fBs4-I?N?G#_Su79_7fkny&u~jShXNu`5f0uBe?!*qa=HR_%V&tIxoJ zsGHM4Lk^>_=+tDopbhDsUU}PX;5za{ z`U|Hy_TBG?+D3HH-1t5SeNF0p+<22C@+~+$X@0FMsx(a>l=fmY^4}nAQFdb#I#@C( zdwSU@RM0_pwRUSiRNSn8>EC9isLS8y9!$CFj~=GA)cE<$8!a|DADNUn8l|eGt^C~k zFC^W2`$sG1?x_Au;DZdWe&~nF=;m!c1fso1GuwsC{tKD*@n1Z`pjvEOlhmQ}yphOj z$MJ`kKN_MrQl-u6nS)VBy}*TLn|;yjJwN5M)9lgGi}rVa_ynQ78sRVOjeOCa{+Xsa z5yO!21Iz8_>;ln{O)8Qn+XIn$N{0tsI=iCwzSDkI<&Q!-hThku`|Xj7ZO7_KKS!aH zor7HKeho#JgECu&e+ojLYVI|AUkpRHuXlMoF~9+(+Q+G%bah4x2Dsinsx$>$y!*fRaj`2n(HLLpdDt1B{<5VJU z+;l?){+6>A91-G3l@ruXFQ=Jx~9@S(K7Xa9>ZPz32Hm3wK}Sb4;(d_SWIZxXLuFdlyGE)~MI@BKJV_&+j{sljjxDS_`Vh z`2kdgu5+md`yXcZ4=Jfm8c+Vv~3OWy}kO>DcFs;K$} z)y#Rub;O=o8bwv|Y7gUml~nU>Z0f0f#uTcurRS+8j?w%^{PUX)rz(xzNHud)1@qt1 z_dBu6$4{f0+2tD5;&mN=5PyTpNUFsKN2p3HReuuyVqJf#g4a8#idOxgT4u%GyO5oi z(?G(Nb^1nCI$rvVuQ5c5+43z4^^Qw_xANH-Bny=7Si8U)-S0eM zPsafcGB{KhEpFi>saEkrqg$u0 z&n+2-LT?^gdmv>bYGXE86{U_ug$LF}Z@N1Y1uxt0o0}PfmM0wRHv7;B)ND$f|5>wE z=q8$Hq_xutow9K1^Z7>ry5Ly;SHCM!=(*dmH>XNMP|UHPhMUv_(Dd9>)|&o4NF&8D z!%iHCv^KRfUcV+3ITR_C8qXVp%j?O*7Q-Epx5#hoC$msAx7qxSCkjlFk+{RA^(PWg z{}(T1v%0#X!~G*JUpYPo8EKC!H>-3+nS0v&tbH>aMYldVa>wCNw0YXc8uN|8XqI@m zP1VDJNLV#T|Z>y+;`KiyPwz1%`E%-C-hcIzyV5!PvC@^F+@tA7#|Q8G$<3eErF+$~ zpIkqSf??$i%%>GRRe59a*foaTQY*<-;ESP%Szn=`1@tt|f^oV@Ow(h?5)XIt4F z?(qZG1OMO_ESmFaX3cl*Ym2OT=1;zJlTb#)&-358;$vsp*6;bwb^oPn-etviZb9FN z;;~b{bIm`Udif&aJLl7>;?Q*O@7#?RB_8fJ-(fxQcP_`UwD(~3@0>~A<`Z+OzHy^7 zv!+!%`o?uiyr7qO;T!k!{oG!i^S*JX!eW9yul~jbJQodlJ>we}r&qjPDefERF+WPx z(eE3q2mZ!o>tC2_X7PSw_Wn*z};DQ{G(eed}yJ z_fRpE~ZzsRI*N4XER? zb7m-cm|;70b+8_|j+4*@!C$$~J|l-1Y${$C5<>FG6&R!Yu71jfPE(pZ;wQVmxoQo`};rxWl z%`-07a7(`pym;bR4Oci)DYp5Z8gAFM?v)`MYPgU7(?z!z*T8z<8qPjeI^g5D8t#Sf zMxvK^Ikj3UVY&_Egqk8F8RX6=NZo}xblU2zGV9obn*)qc-lAne%=?( zLuvfpXleU%2n3p%Ha%UpTK%yG1?izi@NA-ZLI!`Gp%2FuKQK{GO1u)ZzUjTHl(Xio@&V zb4uT)ZSpH?r5uIB2@HU-`ItC~BL zX8v8@x0-X)Dch6oR?Qta;TKqLU(J2%9P@EhuWIhJ(A?u?_iFC%_iz0t=vH%?w?s-E zTUB$x%ID3Bl&ZNXx*)iU8+@x_v-kTdSPxvqWlJrUH11)wnC|ucauug#GjehLsVYuF z7X(*v&CgUX)8AReZPYF|b;QqC+f)hyla^O;I{6ve`59H5*Nx4#-=I)?6j0Rn#B9X8|2&;-?&VAQTUw=48&i&X~ zdD|;g&do_p%Kn6((^dLC__}I{oVyU-{@S2Ha##w)R>J$@A670 z?vwi;9Gz_XjG41$&zYMsZ~lUXixw}*T)J#|){2#@RemcM%arsD0p_a8of`Yf-ks{T?_`?aqA+xH(o8-C$s`^{9Ew@_76 z*J!EPs&yNombOmYcI`XpcGT;n-?>XygKmc1jf{KrG%+Q5Hnw*5 z4)`6loFpU^zp#8vWK?ua?AW;Ygv4=4$tkJhC#0oM3>@{>=%C>L-acval&RDHPapsP z>Gc0!m%pQvvx}?SK=(l&gFU^xeWXKthYlM)!p}coBrE^_-v0lK@)!Kk`jJ+SZ~sjG z!S-KU!T*I8P-(j2AOGv7|E7EkMs$W!<3DAk|Lh;Xf79dn&yKh09^|vyKeYeaN+f=f z!qQgI7Jp{GLj0NkL_+=Bk^XM~GyH#cw2h&Jg2vD6ladl?CjYzjN@c;Sf&yqq$y{T> z4>rF_2x>*o}a*fsKK4fqMYw1NQ_j0Olv& z6#|nv;lvdIn==#?16u%>09yi=0rvu~0Ja8}1KR-C0rT_C1)8ir*nwRQn17M65SVoI z5~m9+p(GF(06PMk0F(Lo#EF3Egi6e|z;4uv>jUsWV0Yj_z*1ljV1MAjz`?-$bsh!m z1NKBE$OTpgE&y%@Tm-BF%(q|7flI*N z0=NQL6}S#q4Op!eJAdlH{Q9ewz`9`91U3O~1#Ao48rU7U4X{735I7203z%=0wSoC| zSqC@`!nXy^0B#4o8n``hF0d|e0dPm)B49n>65vk26~Owyb-H@3_+!fda z*Z|lTxEruLupzKNaChJ+U?bo(U}NA6;2yxMfqMey0-FLC0Gk090hQA1FHfj0;>bdfHiRx)7cD<4=LxDZ$axR~D`xQyT5i0v=u_XifVgX0Aj0y_X304tfW{YAj) zz!H9cU@0Hof`t#}!viPs;elm*co7Sq$%hBd=EDQ$^Wpok@P&MM;9@>Ja2X%omW7w| zc3?q!cKk{Mm|Y000c^nACCo13?Z6VAU6@_UvpeHpo;?{S@+@U616G;LI1^Y8I2)L) zY8K#iTah#%S$jwv|Gm^5R@#Q)Rbs@E^^r{3lO|a$MI2d|%any9>mZ36gI7`!7llJG zC9A&i`%oZ0vObMC^1YZi^8J^%c!)P1I1w2CAUd^^Rfoipby~!cb%(?y!*}Fl!8qXY zRLROj;>f#dh$Cy`h>ONYL>&1ICE}75$HUSYOIK}^b-9ekKt9LA@kQZvb;O0>5+g1G z@)HO72*D*lTrBKIRwWV_1^bhAb;QL&_*jT98L##uE*0WUf%Fq0o=8ZCtd1j&tn4E$ z7S2PQqCA*A4*c=x282tXDUx-8q$J21K2}oHjAJEh4~Noq%*2P(4@-fQfdBqO>WQVm zRk046)DO~+!G9ki^~4gdcIUtUkacy0U0L*)$SS*mihd4KUo7z|c>enosW*guAv~!+ zme>l_9hYA!W_P?2oHKQp+ zK7CT(EHUxnNxdV?r%&o1$qyf%)I(B!{PC0eXo*XcPd^!#HnH>NLF%U^&MjQtICT== zFhzW%zFOj5BR)P-Z^`jN^MG?h(i`67e39~UqU*{@36OeC(&NjQtobG9k58Y}b4#2% z{`)4W?}YjCBlVu7#~&Z5|CTtk;`=PFN96dtpuEZTKzJnn>xuVGQM3=F+#2f*xlSzc zUi@*9aF%#4M~EklmP;c~q~+eo+Q_?@j*K=~c66UW9a@`W<(f1G%1?)}K&%+>QAn*Ll-? zlIy)Glk5I>X4eOQT%;XnYLBDmzcGH&J~Xu_{}CT)FUWb};|rt5IS|(<=14oz^gNPw zo0JTn0&7=DjU#V1;M*4xBdcNK@bQq6ae_0$Rv|Z@SMr`Ravu0{X6?}+!4Q@_uKnbA zofX#$doM&|{>XZClA1q+XYGlT;=GXiPSgEa`_O2Qr^ny4eIVhbP3j3LzoFRY_xjDQ z>&AAh>2=^t+gjHCvU=8d{j+-Jq$uyE^`_~5e7U*eV<(Q4i>spkvHP~W;(B7`@p@$C&Q7CCu{Wskm-fzJ@CD$@1mdBp;-{ zHKxn*HBganK3{zM$l6<{Ci#rR&k&7QE=%7Az&n96fsX=b z1D^-Z2Yw7(2+WTY6a!xadl~R)U^#FRFh34r3M}Zs%3~d{E^sXHY8dzE1}p-57;lGh zG9_RM*!kx`Dex4q2Lm4g=Eni~al$mP^VbhQ4yXd*Gr-P2->e3n3wC~-usLup*!gyv zA2;O36$`+=1;Q5rF9j|E=G)~8;DcbV1KthHk8|+Pi)uYt`7QuEKTfF%tP6I2oQ5B_ zR0F#S*tY`P0$&Gq2i^nh4}2Lo3V0cC8t^gT4B!jEtAP&z=K|jcE&whDE&}GCmrH;P z!CnD;2bdp+RR^vE`z>HK6INbNfOUZ%0Gj|`0k#D`4D1ek2G}3?E^riZ4saUqUf>Mi zXTYn0mjmYlmjM?59|tZ1z5!eU{2aIf_z`d&@KazlQ+E8Nz`DQ}f%$RL?!YEsj{xS! zHTiK-TdJ3nsP1K1txQNaATxCXF4*gb&-Fpg#g90m4dV169EC2$(pvw$;zw*jvP z-Uplu%-`P&fd2-25%39MejJh?cP#;X2H4#pzc#=XVCTmn`EhKh4SkS_5!e{0SANK z9=HhXGk^^sel6e(2+skRK=^sU6~IIJ{ULlG;5x9gUNSt-1mZUayP7#WzmdTCU^fER z1v~3S!@oZbycq2KJOXoITd>Cgy93VzPJ{f3f&IZg2RI7s4m^W>7O)WPBH%QzZvf5! zX1#ZK9u9CS*mHr01DmvD$FB`s0QQx@MZm*=OMq7ai(r2p;0mxW0+v92t%2*nJ{8y& z_HPTUX2J3^g5MwP?SOT`?gwlFyc*aRcp^g03;fjtm78|;R_C14K+t^hs-TnBs( zSk02CRxB%D$_$sh1@Fn0VNM8@w9qglk`F{PE!2V!A3!Dgi5;y~RJHJ2h8a_Ov z*9o`)>}!FGfd2wE(PYQh7q|rM6M^}8DiYudu+ImU!v40vbzqkP`-9yMSj~#1Hyt<) z@~aQ53--~#CcyE)G6>%p*cR+TJVSc@f!)DA8JM4UWdQ6C_E6vqh`$SP6xf4-MG${K z;54vr1kMDW1Y891^#slZdo*wXZ~`A5xEXK>@C)Dy;7s5;;LX5ly;%7k0M-TG1#ANB z25bwQ2+aCt$(t;hW8Zf}@b~Jb9Ey8+n{qgedhp-3BVcrj=V%z+;W-9IRd|kt(G#A> z;@NkoR3O$NHs0aSY^LiH-5F@fy-Qz#JQ|2~(6a z$%`d@e)+-_waIufIezxe zbP|G$JCo~?Z>QLJAU~ST#@9)^z?T;r?`XVU8S|s>Z2a94_gwSsHXBEaRFoGR_li|q zA8dT7G5`Gd5AVa~vBxUPkByVXD%x>2zQ~WNlks&j{>YEEv)`#9Z^GrD8`wA@KdMgb zWc-OwjWB5k$zSH!_*PRpyWSe@gyR(TkBtM8zs#}mVSe@jn~%`6{;=^PewG5Ulk}U0 zC-FD72W&jAF+XHJ1G!%K>z$1^hbqd8F+bZufbVx~M2K%Oc;>Hop7|@1jaT!tB-lI& z_EuYVd~Ce0F+XfPr}6q>+;}{U$zOhdGTO(_w&2H?$(xsXJGrMemI&$BC(OsdkCX5z z@Z8i+N|etLv6B*QWHO#k-a5>u$6r5|_?jeh8kmKRbNtu)A@fhhXW*a0GykUdPd2W{ zr%sNS)K@;Ygvq!s`CTPGKO_$%1iN#y@!H1nW^deX%4GbXpQS?PbC9ENtUqi%06%+$ z*h%}y&we5EM9BFdzaGFGn=g>4xPP%zkap(&F_Euz1`NYdbFE#mA>y(u}@kP?!RK3iOtSjq%h+52poDZskwa0c7 z&RjHg4^iPgNBUmx>~Sjl2q%VLq?*5PE`85;p@~sG@t60QMK$yGOR6FZ=l#TA(r*jZ z;P-+9G(O)Ts%23psY*qi4if*e+%&49JNKw&=k+;6{EN{Nss_{FQx#1Zc$oMHciT!; zB5Pop74SFlm;ZH$YW|bfM+ghrMpF$|I!9HsUB7_(Hyck?q9~ssEX#5QO~bETNL6H6Mm76v$3hyvk2BTalVhpMG*?m; zh)+`$`czPrJ87LE;j?w^smh8&sb}RmpiD_{(RatE&)nKIps%7%0R7Dq>pQpz$)q-lV{!qr* z=}gtLsS5lrQWY)yKvl9``vTcdwB44fbm3^Knf|k=N?PusnwWEwu~7}x;`w^?J?zpF zj%u-H1XY>Ie5U4kRLk1kW%f69R1-IMrtfPnb8@08xi*Gsws-+m(W*SE!qPibrOoQ7 z8noAE?{n9ZP%W$pqgr-$E>%JLZmPKcQO(Y-qME4Pp1$`zKhBP-?7%3hg6GqyO6#{! zP5gd=YW|xFs`8U9>3iX2Q>~~5n+~CxeJYu1B3emRo?AfGpy44^5&FqAx+{H;ykwdq z)kIksRr%Q2RP$YSFjl=xweatER7FEH>3im-4=kAu@}Vl(kw{fkxs-9wgH&aM?ot){ z*H9GV6I5k=9#bvW`oa94cB1dQFJ9w7HQOnWs;qP()x^B?bo!PiPzv-)&{pH@eM! zvES{f6|Gj>5J$&_I=EEd5&I$QZSO{Y5w|@3d_a`*d9l{Ei^13D)r&V-bu~x`{VBeF z@?pUOpSR+6BB#$K83MF7-F&-_iW)k9=Tl*aRn3v|pu2k~ck{$no_avg&u@_tkn`T253)my`<==WQ(%54nU#o~(qZb^P^Dg1~kt z?{Kq3(>c$?aa*kq9`zFvjOCqo-Nz-rf?mMZL3^2!*kokz>`dmh0!XN9HHCk5*FqB_11j@w)hL zQ)IFG{0R$XbL0~7WJ+;|dhte^W`4nvb||>h#Hpyh}gb+gjZJ-HpIGPre-%}-7}yetxcWyihhxChOZFCq{K}b zx}r?X%10LsSnm2EH@^ki`KYE--AEy7cW-!)Z!bEa)8+e4e+X!WwsKJqdoAdUY;5d* zJ}EFlD%$%(rq0koo7%h`G-;s)>Kw4Do&23CvYymCe*3PDXn2bx^$|%{XxN^KKl&eNf)^-JUUl4oH9e;>R(Da`8t!``!;c z2A~d$k|$S$w?n#P=2w1L(ie>xKcQyhGBGO1UL<#Lw?jSrcYSL8!~q?%Q4V-=-VR;5 z^1keCwI15js^^TMH~OPvN6m(&_}HOgb23)+?5B$4gI~53jMRkl*b~(){CLP1zvn#r zcGZmqxA5_$YG_)SbVFBm1oW*=Y=w*^xjIv)nWHZAx}A&1?@O1aE+Ds06yEv4!v6UP zrDV-EEE;c*Ue0;yd$F|`<@wJkyOz@nZPX~dy=9gIx)pe~Du0^+T2mWn7<^xhY~<@^ zx7n|To?p#8+&u%K+Lc|ZwREh}+BRE8&FyN1wjH$_l(fPEz3@j9S2VXp{hDoh*Q2r* zQXjE6pk}BYaz8(!F5!$d`Vvyr#_*~U+A>sp&)|7~G@@!=$TVMj)MowNUq43JqK6Mm zW>{&8P}wt=tYV!?@%Dgst;2-INb5nLHfdHp(9JrbUMc!0o_&4rRF8=6sM}uIptQi| zC_H}uUCUnGkYE81;=!a}v=&TMVC}hy{OQA#FiCO*YjWWh>HuoA}gQkn$mTjvr zLwViW%P;1ep)r9^QWkU(p{!xYKO`7fBEdDEqy>lMV$&BPExXR-P~HjE^Q-jg#Ji4M z)gNnu&~gpKK`p~f&?t*7XWF&=C3aKSf8#o=KbjraqE7VM0ojc$l|Nf!jHc%=*+2W5 zH7d&OB8VH<4|ToMeq#n_gXWs0w-WmGMYT#H`_gYYpcl30MhLfRqVHC#+ai=M{>_c*)M96dAtyT`MM zX6SPKj3S@$x=0??=9So|D|)#iJ@rcPSMk6hvO819{17KRi|JU~*9OJTMAgD0y^xMD z{8)U39nxEvR~$9;yLg=GqE68Z`{R7X8AfC^h*t@?7E}HEBHc~e%5QY7;X1NL9>Hp} zwyWazbsE>lC}u>S6ZiX~&}@<~a33+e;59ExTfk z^p~62&#>)@M9Vs~&d?fw8hqmxJr?&y9o`zwyY~s#(px!l{)hQu5JJGwA7w0&m`LZ4`-L8ARySvj9owzqSR6NBL>FhdDKWe`LdNTfIm_cA~@KwnBX`MtP=(;0Hl=dhZVeN{74Ndx&OtnF`k4i)*IvAm< z&*_ssFP5OUevj=EE_orpFPb}+t9T;K?b~kLpXq^)`CVw0cwdAxPF84-z3hV8b$_|M zqlFkb%?Q%zcF7P;NqOjn*7ii^I~=1o)%_6nR;yIrF{m4QlsbL#;Jw~R<4stDDB2tK z`c!(V#dAlrOuur5d6XrZobxE7Qq>;SCY`bDS1&<)e@&VP8}}X6U0Fu@6o#z3I_Pto z)YFST9?t%HF`xG5%zCiOF(66owS;M|gx^np zXY}*)quwa`gX|ZIUMx;`MF;e`fIII7Blo-$YpWhiM0|LA8@I$(eeR;lsFxXs>&nrV z9^WQsY0>@3GnT;8S^xbDYdv^xV;^{5pafKk!^mj30J*ky%MP>PeVenmKCkx~m(N@b z?>}71l};Yj$?W19ZpEknhq`xxuez@P_}}O30t}D=12#oDAShmdiPKOqHnsuN0mp4z z6ts=)z?Ne>?Sf#Y6H%!wrC8FfB)};H?Q~S_Wry-@6Y}7{haSU|M1ke?{?{X7DNyH{ItjOcDi);FL<`~ zUBkX#@Wll)9>4C2YoC79eLwaqE`INVw{AZC-#@+nM+;88tl@$em;cy>Kfj>w$14xb z`PzRQUD#SKSa}h*tT=5NG{?&mGE*xKcXXyu< zUw-d+7cbA@tDec%)Od!{<~bcZt?p6>80heZzO760|Q&A&e7lKHrcji1q@pt$&o z(6{cGc-z8aW0x07oxT+=-7<^4RnC2Bu`%N{ms)pmtqX6p*xzd9jB2;;o{r*sUj6hp zFCKl3i+`)dTRv{_$i3DsC*Eh>k=+*aUo+UXZFY(9#J=~q!|y3Z-qjOcSbWQuHlO%~ z31ufVtt#C+>7K=}hbKfeu515K*zaHVKB;~j?L2w&#OJ^Nm+IG^boT4TQ|0V)a`rnp z-$G8Grf^SJ0F_Trama=Ir(usBKhnkSxZQpqYnQ|HaQS~rpFtT}k3(*pOAqdG`t5PJ z*I}>2ryXj#qXiGGR~!uu=iqhn(qS_B!eQzq|8sS=?0;{zcdP%ShM>L=}k@5`1?LAOCSK%Gz>v=llIngRXf+HCm&^mXWA=mF?9=zUNVv;vyj zl`UsLCqiSO5cH?(vgMc1PoZx^`s}o2J|vC06h=&LA}s@ z&~4BeH)P9n=tO8DGzQ9o-rSlke}G_@H%Di}(96;a;mBWl}mQNJx`4k&4Q=4k-ep|G zy9LUL@C`3$3$!1aFqQXYrw|8veWu9gXN&w8x?~P_JD|IuuS54N6uIE6uuMEVESrkL za_>1|IrY4-)Se%f;%HdLRfXlXYr?Yrx-fr`Gc4yG3Co+%dtVRB&(6z`=iiwjJ^dL{ z`^yaZ#NiBi;?EiKCRD|Th*t5jn~PRw%15EGeAs3Q)O2~K+_fQ7PUFKhE8mkTPj+TX z?9EKM`DmtO7i7t&CTGdbbF$>)g;|nuc9zU~N0yvXnk5IJ4=&A;r=W|!pCw0sm?alH zn7heotP~*&CQmwbFyXehHQDIFtZ&oQB&oP7l9qeceL6)h>ak z|L$pF=>p@^!_v1RQwHe6k7z^xAY&o0xU{BHWfZ?VTV{8}Hg`@RkP+o;eo1fwrHEARGY5%bKMptXv zd8zSMYsBJIKO=8RieHV97sU_LIe9fEUM+szys)0#rsZe#uy~kshrC;@$U=ZINZ(!C zIMdB_C+0*cRJ)mU(>Jv?cWi7RuFh*k%x}*B>Z`AASceHE8XabB*w#@$y`seEvpU7^ zGOJI}ug1n}O!2ev;`sHPNj{sc-ns8XZ!Mc~Pp4vOWB85YQu6GWjk9~lFuog#+t&45 zjnj*tv9a|#Tm25;7ibej>KFgSFrhp7wCAdy>=`EgHTYTaW}J=UZQPhi$3L~7bGK`f zTJ>WLn!T>wxTScwJc6{@aVMl}xYTNzw)VFA>4oMe8nyUopKyLgZNgpLt1p<$RzD9V-zbI11gO||chXVP!)g0yey^9FnthV|}Hc386KhNEM1 zG9{;Ixa3r2$2DyxaTgHp3TPN(g+4{_ZBWFy-wS_JAY9!y2f{T?C^ICP3q?j8pDo81 zjgjNqCidsW$Jc5es{7-_|M&!CBU91nQx%Se#<13)JYy)&n7Je4q2VDJj-1elkc`lB z8+}JhPFpr%nKHaBGoDc!E_CH74Dq4C(M35jx+*(5LUowN*x>Sfl6F?X-1KhpROA!7 z5~eYP_!wAT15`uXBj3Eax$)41ENuE!nGo75*&4^>n=LtW$ye=8{0T+aecW;Vqv9i@ zS|)uwhQpbXF;TL^wV`;5e<(x3_^WSd@+g_ykSmjG#>nKN<79GM{s30$8`ql~A2B*4 zqqin?|J`)fr_fe(R}2lykYNimqTxc5t%N4#$i$jaGO=i+Oq@GzAh-XxUi7Lhn4BTU z@v$i_=k}8suT@7=-qDnI6y+T$d2QsEAC~-Q^9sGK{+9tU<22@O<^#oqt;x~qjqWug z(K|;b&rRxGaMEx&sp|NF{Qil3dA;M}V{3DbOokh|r;PPRIp4OqIon`8?p3(2$F0xp z@H+zT0zTrF`|PNJoc`f`*}b-&RlhKCw=A@4gkJR1wSu}QGIIY?=Pw?s<7jk5&omuF z1vyeczbT*&3#jt~>bzj?g#Ho6e-!>B@gq*vgn{w>WBYubf1p>NQiN>e*Mf^6MeiPA z`lGgu)c&a9cM@+DGnewy6ir@Z$txEf#*p7}Qt;4({(@7=4~*;|(KoC&E1p@K zQ5cSD-7y46==dD^Q=T0E(8Phf{&9V|y~o8z*N%#YrjC@UMJLNtK3tY!ed=8w(`GwT zb+dhK41Mi58FM>*ZCtjD>lh>BaF2V4Hf`GcFw^G8=Fu-2w7uk*_Tp_)a}j^<{$i2) zT^;7b&kwk@yh;V8U+0k52pLl~GCqAq*!W+zjBy)!!le(f{>g0^A-Rl6xmBa$WBCwh zE@_naZF3i8`V#bOpT_k0u`>GE?5MRX_1AzMYp7%7P>=lu1z?BsN1pn59mcK{nGSh* zWBC~A7|N-7`f}!RdF)9jwB5F^r{SLsxV4P>n6mOQ!HGqqWnxvbANss5S}XD?=maOn z*e5rOJ7^Py7EVoLt20K(@u8hEa$rP%vIW@wD_P``pCkE{FQ4+|Q@;GUc?0A68MDR> zmvOZBarEhNRc2hOwSApFUPHZ6?z}4E>A1L#d}fW3DIMcwO2asrQZ!bk+@9#iro9zw zd32trqR;2)7&!(x$03KY<96f(=8l51N6NI0Psp@}kIS^8kIA&q9b&YiJlb})brf{Ax7~@OHR66y#5&{ zcB_WTRO}aYn|dqCmHaAWnLay0=R`yKBdJg7vWB|ECW%^zQ%8j(shiEADWR57?f`Y# zm(x2uKCD*fB(-bpNG+4j;mnD*XU7YsWHJA3l+mF^$tJzVDP-^s@d3>7RjFDh<}vER zuOIA~FkHsqr}OXBtgvLEll+g!cc25SZMlN(g7LH`?5TN~He<$-v9v?J1^+DLh?(b@ z-)b0-ix`iqk|hjH);VOdOb(3`JKB!v9UUK4JCgE+MulZmTUKxufaY%uuqn5`HV>Wm$chlWFUN^gSUgCp?=sq)vYv5P1voa>nWy ze~>Y!1EhZ4STx{u`_W%S4nbG?_N?(4d;PrQEm1H>+xEEdiJ_eEP;H<%7h9c_BPY=Y zPMVuK`WKjSJK3)NI8<{)^@?ok%-!R3=^Yh!QEiE3COVS2uCa0Wtn)*oj_>=AB! z^K~+Tbyo}Yee(YbI8=LiepEC)~Z?VjUpIfl~n zyn>LFLSD}TwPtT(OP4Lcs3cUYDK}k|xOK zF;txA34itP#F;uJB$q&cOU}oT@#%n^0zT56!`?#2JwNso%*NIY`?2>^a$@KSv8!`C zHudY=Y1Sc(Z$)-|vvWYMT{}z~E|ch|lNg655k6_|_;_eoh;=r5Ez^&Z^OGDt0ryRRzr;n#Ap{G-r>_uF-Y8SgqKvF@M9_%eaWL&&@Zu1F@8EPGbhsq&AhB*b_exp!kDiEVRpYaBC+4o`p%vol5J2TAKi29 zq|8Iq_glm(y)Yz;olXUlS^w{6oaoT8l5wKVj_tk-OBROYW~lBTj2|xz$rm6W-`3Y? z>T8skHL6)RvtDjsoTOX@_!rzhq2G>IU8FCIlhDSdc%0u?c?P5KjxaX6+q&@g2u|BD}Gd!i}j_{Pwhr`JguZ>en9IGSq zJoDgW)>nSN=yiN)b4Uudgk*EDoj(+q=~!Wf@^t;m-;}8e__GQMjiE1B1@=npPYaGQ z?`oS2Q?{b(L-GW4tIO|~@NWd%e=mK(bs@PA^69?=|6;&x_fg|mkFW;P^^X~IM%q0^ z+sL@>gE@&ls5&*=7?SIuT~4Rj@E?Nqd7J3IsACv=A#m=f{t$m~VWggYuww{K%3-`3 zCzEbZvyJI1^byv_1`$m}l~C15qP@9=BIf-{EEW>?c*SFsPN5nYREST~B= zF@%NPE5tcrNdDW)&CZZ));GE? zw)-@H2lDQr#?m{Hy&Fo*d4V$~UxvCzL(&eFdmT)j4mzXg_3?lD)sTGaYk~R3 z%v;HGEqi8|Qtrfh^y06Cw1u~^0pFQRznNl=Srto2Rt;^7@{_5Y%$8r?Y^B1`v!9qbcM5pYgf_azBebi@71=(Jeip1 z&7OHQZjGydxPhdT9!rZ**2-62R1EJ07{>slIyrETpl6T>=XFqBcMi_O}I)p$jfztze& zcG`-c&)b(rWlnQx*E!U*Dns1?83i+We;q8V+J2`?vvmmcd1)RhQ{9R_Z}xHpnoiFk zLKCe2I^4&HnGbQh^aZmtyujFakJ?4kYdkNh>74o%;Ja916D*?)C9{ zb0#uM)49H$u*bxZOk9V*qNYoC`#K)Wd5fm^sPT5X`1?RFSM^mn!FPk2E2P@Am1_RBvCdo#>etlDvh1 za%i~v>)4|4yqxs%`Fzqby&OKhFOLuR`gr}kob>wf@qPY&y!H0*{yrbyUeYmLu3NvE zxm?Td<9q*OxxK$fFW0B@=)*l8%l}yEeSD8zj<=I9zejJEAZq=oTT$)3HGp2ON0m=_ z0qdSz=09C8bnASl{?lB#g%0;Q-04um{XFXA7`v{+U)>%xp4Z2t*6&vQ6*ZogZzt%- zk#y8>jUPl!XXc`@$^L5G%;P78<)je)#?4%)>0Tnfwr|Zx^;5Uzkos>t-juZcHBoi@2_^#^uAmg zZy|0)l{Z$`h?Lu`1(4_M>Fuudpy}1U4-C3Bz0m{v1?%f2{QX)(_0V+2O+1fYzPGQ_ z&#vPF?Mu_IBfa7@hu*EI`ECXM+Q;kT4rc6k)gwnqim#NLK#>wU!cZO)J7X|^*qP`PRYjqhzS6uy)e zzAlh%D7jwVR^pj(+WJuW_;?<72J-QJ>4cD+unvFUc8Ah$t4p^K^nK6g=k+uGX?3r1 zeVu81O|N63`VZyaN}ZjKKKtyN*6er97(n0h`2_pMPA5mv=cD)%a!maN`hrQ1e!(`f z(52fKNUwTrb?#|t{_A|3Iz7>bi)q8Ae=P(xEpd!4xC>}AI{s-pX6bKjtl`?0wg%k6 zbQ-R0YZ~cK&R~2wMRHugy?8_M|J!=0{f5oj1HNCcbbt`(eqEF}Bv*x=Gf5n$T&1V{@_cRtd_f}BLyAJgE zczb)j)qfx1Y9~c?YkZTBn>!ccR{0w4%cF9q;Z}Ky>fQ+>H|3%{*rGOpSJCS z_ldThJYd{h<4N=<+fP1f{JZ^LaUtQFKWM{eneeEN*J=IAx^FY#aZT^rhxXGy=5fyv zyP>a*cZP{)`pkqdcNPoS$Ljv}6UM(+)0_V8?6KA9vCbiKOgmA3*Iw)y!i2C{Q{^W8 zL%d%fqw(C@-R3jNY<~o?f<=Whe2BO}L}v%jVmp>Z;)?Zy)H>`FwnO#dVZ*h;@LickHTpPeTUp z`6qAnanDSQx26r6^r>U;kTUiC=01JM`Fdj?rj}H;npUEPK z$N&B$AO5jo^+|pFZ*+q3@?D;(F|EtTduIDEp^I@wX6b2kDBQ~Z@te@|Jm!#c?nr%< zyRkQgW#GH;Rh*-q#oFwRFxSWV4M{jd`rc%3fx9O+L!$FImn{+sYi*@F<) zS4f;Cq`wWhoDuh(L)h8G*+KXSE@I7xUkFe7+!AE!0n-BfZVyZGUF3IbSfU?>KMnss zBjaFLdTYq%dJu|SLz?RdZzk@Qr27VP$bZjM;9lI1hNYjpyI+MWiH}~9i;;5?{NtJ`T#fru;*83W-i!?Ce+zk0bO}?oqlDq# zpGn-m;;(VkMz2!_;>L;F%lq>^S^O43>lO+ekSS8 zAPg$}5j`@5yQQk;Cvams|+5$WDV~41gpSZo~)Qc_yl%XH{6;kfvlktOcDSJ2N zEu_2=%8`rBg?NROvj=^Jvi6QgH>eouro6T2r57msv|PyUf(mg*k=-?paLo(-`mj+K z)Qj#>Ef?k3LmqMX2>b!YpkG0Mgx-d7-p`#&=wxU%bRo0|ib9t`jnEe81JK8y&p?kt z-++Dsy$rnujrqVZi9oZV`OqcM3nNSI|6uK1J09^%bhdvH{7J3rugZiP@pv+r`$yjJAR0tJAOQFl5cSD<@?a(Kn z|AO{H--TX;{s@J-hskl!$xty=1;wDv(9O^eXczPd^mV8Y`WbW(`W+;woE9lQq#_jyp3Yr0(11*G>L-kM#v<2D* z-3HwYeF1s``abj`Gyus*hRJy7WN0>YA#@3JIn)fj7kWRm1KI^W0zC!&5bB2pAh`oQ zpc9~3(1p-)Xf5<^Xft#ZbQg3l^f~AW=zGx5p+nGLpv;d_$Iw)0CR7N`gD!%qpv#~- zs0n%xv<2D&TuI8(}m&qDgE0@a^@-C^BI$0<6qJM#4y=>sS#7%t7{7Sw8t=|N1;WUHS#{WR<4sSxn8!)4YEycl$+#c*)H#w56B1Q7Wt5T zSZ?Kf_%^v+J|cI>NBIu$U9y845FeLM$ldZuxko-FJ#w$?l>6jU!}6N^S^gqND++4_tL<+5=b$7Udp1B{7mQ1aO@$KrJ@v5vX38=9M? zeA&C|8XD?bTRPfW6Rys-O)(eJ5ZhSS(%>A;O)XbCwxzYfM~T;Ubi~?PTtHiAvk9ng zj@7lb#p11P9U4;K+}iH^VU{GkE-_qdd`lo|Tdb}l7H?~PcdXu|ZHP6;I${AGorhP` zI+L1Ow^!D>yuQ{IP}zB;=jMyCA=Xj1Db`lE0i&5>ZmMhUGzB4KU0r)DnJpgmts6JS zT8z@hm9T2k6>F(m*BmnzHJ+_)Nxn0g)R#@;DBqNbWn3){vCV2ZAKV->_V>#>gqe1T7A~Bwzk$br`7uA)~h;O znmXE@yD?VRU<(q+SgR;eFylxI)LQcrG(1o)bq0%-aQpb0HX+afD5T?$cu!K7y ztaGC^f%j;Q2MX@&lE}@w0~tE6WIZ{LV6O4D*v2N?OE7P|b7MT9;(I#lDB}87XHRto zLfc~Poy{G=N)0q%Wh=^DLUp9J!S;^2j;8jGrg|5nqml4ny>>Khr1iJeZS)bEI&2?D zOZrB8vIXGc_x~=Mb=0@IR^3Ev&=5t_|CKS_zqz%p!I@)yla<`UR|HHXWlW^jxNYK! zCPbM;$ZD0G96~ThtRvv;v`N}JZ3-|jytLE7jYMS{w={Si)Y;S$PdL;2J6Qz!yKyD@ zd(suKwefWQU3uTfJ#X8Oclp}&?nFz$Bdy0Ke0+~hcsR4Fb?{5=v3R8PQrv@kDW31{ zY^gUtgttPpqa`#|hjtdzEr_e`fa2;5>a9@|X%n5yX_xF$2ufAlxe`g8J19Ed6t|xg zuv!NCl1j5ZE73oaUfTFOz4k6zP;9WDkt*4y5{~-1=H_*E^=4um7o4HFa!pcCad?$$BQT8Uydt zrGsBN7}S1h7*(=9xNNZVcyf{8+)fkgN+@HUP9N)VDp^NTE9-WO*@Y81Gw=<)Dj*D0NNVAnbwXJ&fGr!=kLJWqJaAfoQTEN`542!Tz`@z!Cd_yq4~csIfO`Q1 zJEyX)M|#$@1MhHk<(n)2@luB5^mR4C>~xZT?}`yU*R0oukZ^@*|<#4(*1+u zwV7)Rch01?iGE}QHJ&e5qHEZoL{C6Qin7k(lchC!jh&pQ)s7-Y{ zrhzG%@I-4#@PP?>kY8Ya*07YdvGWMb&iJHF&iDl8W_1M@&*~2JD&w@h3N|q>JKjyp z?S57^j81cYP98iZr_9L730c3DGkL!t>Nk}1+2-&bhYvaYzQaQfhKwd{SJTcF#D5M{zQkTIDDtWl@41R-sy0s!#xh4aQL*t zpE!KQ;TsNf?y>nzc39|ezQc* zcR1JK5{D}tHaOhuaGS%AJKXK?F^A7N?00zBVP=oBv%`qPGab%zc#*@k4%-~w;_yL- zy$+vs_>#lJ4#V0Gc_urY>2RLIl@3iL{(CXAs-wBIF5c1E7Axg+iiN1WtbUcPtygx& z7qKVN4R|>t_7;)fYsku`whng1D_X8%1QGdu){2%!&aOCYDc@WlGyC;LP0g%O_)2S5 zb*$rteRNc#-EsBiTaMu3eq3?wD( z6duj1#Zm0AZDERiCA; z4UBe6jDc2({7x-sO;^5Iu0cAwHn-Ma8EaV7+}Yk}@{lVvWo2D^N4Z(%$x^jrzFqvNvdA*sbOOPY(y=dl{867R-bE^Fn3jY%e{aBT%}uu#%RB>UdL&v8FtcRny#F z(u|&bc}02DTWJpHzOF8mv#uxAwWuu?lP`r7Dx21|)zNSs)ADE)mazHIYL*{mRB{^O z!pk>fnR6&pJu_jnwaL_9TV_=qr!qd@&V$~gOO)VSH?&}$qrAzDL z3HSS@R8M)GB5!9b)g!5eTRLJjt*e?EVx^6BZTt@1*0>g8mDCxHs$y2Z&yW{QO@kJ8 zu3yi|lE~TFt8}BOev+dlV=!Q5j4khE#oSRE)6 z9Y(I|^`CxJt}W}oFF9RKy1n)s&hFAO_;PsEoP+$|(WaN3jM9$$=qrp@{^{~G2V^Re^{Qj?{s#{mz5L>^YvFY7cHg9Zc zjlYK_LFcBcHgCDwYFe_ew5)v5;w2RqU0k_z+4ATmRn;{sR<2rosrgp&|FzQm=kz&d zv&gl19J5(O{&PC~ACmO{^JWqXyGz*4r1xit)Nb9fb*ghe_@ZU*eZb=NpXxuVT=BJC z26qwv>-YWazK9JT^#ApLwO+*zzw{5rFLCj|O#C10Jh=0C`Q^@6cCIv`}!Xp_@DmQxq5o7)vWQWZl0Vp+^iGi-^A|K3%R}dwsk4nr%N_ z4%644>29r0eSDpE>W^gt4}Z|!ot0S6DvpubHnlc!SS2;Q{Z-#mzF8dQ_+0rYuZs*; zt(0grv~Z;?B0>$cIEq^%^O%>V4Uu)R`Z`XFBlUGHEv+39-fA{+{v2u4LnHHW!o*cA zwu{YMA~uar%Xe4x>IIKp3gKdydDJh$Ryq>nY%SK%9@$v8xoKnP#)!V1AVwlQEk_r8 z%y3=^w6}APW^>`YolVWWmDnJt*Re$z_q3wE%2KZ-vsOtNR61*^EUCLX)-r3ArmEY> z`9WD-Tm6<x}&S{rQ z!j@JVr))fX4iZGs!~@9znTx8i`BGWBxJ)YaKc13BWl|ZfhVZW}lhUP2AjN9xt3oc0 zmdMibn)0e@bSx{8D70+(vT`GDN%>MEV{y6ERF#yfXX)}~rRB>w%P6TP1%H#hye7K5 zVp*a~EUH|-DoRw%d|^2buw>!#m72DuVyTe}E2WjoOD}dFK0oy@Sy^6HLVimtmQ^fW zfzBnX4OW#b!#?S$WZA{AYoZm=a)T?DMip0JQFQB|5uxTbt*MU9%&vQKwf&)|9TOO3CMv z6(yAwHJAE~*HqV()U5ESRsZEH7B5*=UhTZrlrJltf8K2Dv||TQ&~cF2lQH4QhIS&)$%BkvFTzT zvZk`UsKZRB?%w#}7uyTfjW zI~?Bau*c#34tF`+?QoC7h?76v;Y^3ME5r?}SKH~5(hfh0P zUS;h)&*fL_FzWMn*yu3saI?eh4tF^0ak$4}ufslv{SF5litAsw4kHc=9Tq!`I;?fr z=y0>c?GAT1+~x2QhrJG;ap;<{^tgVd(~9~rr%25boq0tVXN_O9s=~~DcFN&*uH_|W z&R<+rQl=3q%U710Nf18DJXgJ<%B0gdTIJZOL^(5$*DxBH1rR#n36ZzpzLJF1^qGlG7-n7&rz-Gy1cEn9BXWbR(ZU+zGMORH;i#WA1GJf8vZ zolpg|$ojcQ|8*0;58lmz-U=A4E)Ghe62^WihvXC&tD^=`is;Wck_q@FkQ zbxkep5iu`@BQqM#k7&-k!7Qm-M*BWLV&7s%8td94EwK$OIX1;2ezD&^I~mV3(ssnA zY*b<`t(_Yh&E`UP#{s#z5&B!vBdvCuW0NKGar!hgwWE9sFREh=8YNxdjdfetJVm(p z+E&-utS`0MAa%BI4T#rjBuI~+9&ue=v%dT{vQ3?EOr~!%S?fev%{$D9y|EOTJ$v?$ zM`)(FQqoe_yrsRVJrd)FVM8QQ5t>Bb%XS)xSFxCCi#uUYkVE?Vd>2-+hZtr7NIvBBzyTy@5}q#o;H8#-H#rANXF?SqvV ztVb0$ubN_;R11EWbX9BHl@Yz{JXi%)S_{FW+`pPm)22Rt^J+H45p#z%61gxkV|LN{ z2roJ#yt%!SvQmMm>AWkEUbm!?daj*phy~Lx$cz$L3x9)Z- zsyVYtNDIc#i4a~@6G`lM29-y5Vi9vXR#P5zGLre_M11{QIX1#j;Xx6>aC;Ev)EGj( z3lAm_ls6~h+ea`$P=2C50)+^Mm(hFm$j@bMAQ{g2sW}%+&Vx}7Ms3rJlrPeLYs`rq zlK$Q#h)MOYsxZSyvilJ3`WHiBRbmKCM#zaQu3S#TP2^?u3-nJH?(^&>rxlu8i&in*PTC4 zj=GN#1ke9{y9%s()7HCIU(HZ&RjVwMIsdJ3-CNJgjT{${V}>QKz1qpXhtN3su>Ove z)G$!Eu_EBsO~n%4PE`AN6^kOe=(CZ{rh|QkE!mP1c zoC^luTlq0WOXM5K(x#Tyw#wuStKfUcv~p@P8No7|m7Sg#Sht@K-4LPu-wu~)kQlQI zXBWC4BTu&-ZtO5_b3mMwKiEDd+rMEK+XvI_5Y_KG=nFj8;nwIfg4zt0Q6;0lF|6_t z$e;VVYX&k{A7lK$(39>~Nh$qna6KkQCR>qS0qxW2&uKclRu8DC4zzPam|ChNaub&y1<| z8KT_Qq^6Iiym$8Vc-lRILHVX-5EvJNRy4VIyQ#i@Z1dw<@P2~kL3uP9<+b-0u44IT z>f4>E`*$b)j9n*ijj!pvA74H)XYL!DTEw5Z>)CqZoShpybIvL(EL`6q>*MW0G=Y_P zdy_%sujDd~iNksQMy{J|R3x7(qjd(ASJJU<z8|-Uj*xLht41{T#ig!_^ma2gcrsvG-#1j*Q-w@potR3XR^M(K|JIw??0UvM5f! zbM>IZq!!w{b$6=qz1vPtl#fNY`uo!u<@HINzQ9*q!dVOGK$ci1@3u-;Xk2rW0_us0 zy7lBkQ6Il+R-UsQwFxD)?*`53kve#ir%l$KI6cCtCoSr0PJBRQ{$2U$<@35#moKJ< zs3$#i0reC{-R2k!^yze(Qhz;(Q1mAadJ3U#uA7*0EG>x+dVl2K3+ZVIb~O3eik4Q2xG5z7G7mT(6VY zLwDXrj=STeyubJ4P8AdPqV(X|mra+B8dpzZ6@5MV`&Rz`mA?a}af0_>bi3+h`EexZ z=f@JgPo*;S#8zc^x1R6@-FjlHZh!a6$FoaZ^mE5qdR(CKynW1;T;1+2q3$#_+_VkQ z&+-0UuiqB?{kGp%r@Orzv-3rc?vPckkLTt1^k#=jxX!8CKm0v5O%uH5=I_4wyKw3D z*7%8YBzWIW(#xTDBlV7?-j&ollX`d3+@a(yr7q)Cj<=DvRpWN==e;ewOkMvB<>%`@ zOB3@1$5(Z`_nZ2Gir}j^_byQ1z-g>w#!EzSa@c@0Bwtdtn^$-yec(-;d9Byb8sh~l zS3vpkUVUTA`?g?y=K5w@+Cky#_&Idj7XKR4s^s)B>4Sv{`twmOE{@vx{4TV`{8re$ zb!=fVY9`(mePhP!PF1xo(&28vayOHY@NpGXUsLj-nx^$z5=Cg|^9}X-6YR)Ujrs!9 zd_SR0Wd!f72GVml!NM2mCNE|`E}C9x<~v?x>r1s3!t~9yei?CaI+Lody`6cH$h_9B z(-*4sv4}2Bhlua;>1gD&EMHsWt+~Dn*F1TR*XmwDYq|JLnn;U&dx@WQW1Wb8mV!&U z`l@e`zo``dYiilV#k>Yv2KQ+R4KrF^)zm>%w~`I7@XT-6jg4)1G9UYK65c5Wws>A{ zMOj4aCXtW%9-QtQ5K3_q{`O~~srq{xrsvnr%jtU8&i#vDwMktIZ`hM2Nfx1^%wH>z zVEpvRS~yB;-XX`^S~tgmelV(`gM)zuI&|3u&8&6fzM(O16 zLBd(_W}07E^&vjI_nL$PnYEg=W;r9f|d(4_o6BsiBiYCvDjgT5@yUI=@ls zXk{R&YvIy6zfNbMU?Z%BvqKbiaLqH3zy0uy7JXRE8 ziDZdz)42aeIBzNw*JP-djrv7ReFEc=>t2!4m2;TYT;(P8vduN=*3Za95^#dxb*vWEj(?x{svvGxzMG^L76?!!$;{7o^m-&fXC+ZYD9^|IR2ptKs|^g>&tH$gz)^kq}U~ zjvsQcg`Yily%m-gPCw;BO&~n|zE$x4R^nGKt?T`b9oC%g{@D!X=mvX1hN`z?T}oo6 zWfao=xju<>%jnP=aE!S2K90LgMrTQ0!=dgGY5F&2iWsSszkGFh=?e3{Z%IjIO?er2 z$n;6%=R|e3_?u%Y#VV#z6Y+G>uKxTBMo5I)ptR6H`elPI;SDW^gCq019l zy6Jj`b!w1AW~%X;S~_D5r>R@xaAD5g@k=zA^Hcow{0933qpFvAj^(ds7Ufm;y{1M? z=;n1yN2jxPD;wVwVUWJ2+YO;_(BJ8s?&b9z(m!2a(~V3cu)i~jlqr_gs8c zI_J;uOlJJ&!@(8pT78j7$)*if&c#>FYHYI+5`K}WzBn>ZX={7Opz@d7C61A$<(#vW zRh7wS&c?G9)9QDLpEM%&R9n+Tf`o&*nSDC1Clu#m{X|{4Ix+Ewis!<0eAhVo%s6{q zd!(kdgASnjpRXmEaUR3C4YuL-kTs$o{@D;?!U%@XB0Y`U4E*+g4YhHC|06E~UHEq% z?H~FqWk(jN(p7>{$rzaKdydzOFaDsi#!7_iYngLQV@#yiA0fr));9T|a6Uey{rs5W zd>tnl97&PyzSnc2BP z2ZG4VjRyZ-KHi>-bpB1Xr|NsQw`VoK&C=$s@dEZpgxe;PVz89-`o8pUr7vg2tGmo& z$#+exjP*W0H!~Wf$S-BJs7u#~ji?b)!mWNO6_yhI_w1x?PM>7|GZu4o5t%sy<3|YB zzUG!piJ4`n2`Ly)Ytp(I2<=W!r+ZE`Y#nR9HoQi6N3gUpuGg1v+Qa{6SEC*0{%{VtKW*iYG%Dwr%rBe zMKN=|HnHTLX`M1pbLDboWF?iBDlrZ@^{P3`(JpHyFP#&ee+kDdI-jYRd7S^UR_C3b zUMG#T^xi8iz4g}gRpzf;=&Y{as$-i}cfP2yFJ^zMAMvV>tkj=Dv?rp^PKjR~kJUHP zzaop<>XIT;%90X4b!@8PYi;b{*qH}X*!Y2VtmQ~cr~A}uzDGVpI(?&NA5G^+!NhMQ z0vS0rQo`5T^!Z2Q+oQZiy2I0oPH6g%ruRMcAC13^jk4FzFS*V7vOQS*M8U9ML!vxo zbsPC2;s#nYgJnd&9@*a5+T0LKsP;BDdR3n^`Lr7S%wsUR)_+pIT~RQN6EDKI0N>Ne zL5pix-oC;3W&~u?*B?Pxof3L`#_E%>s;w9QjwE6?nL{NVI$dJzQ&P`qM_rn3nrBM+ zlVi1h&Q3qCn^JZk-)~71cBUb)cJRHER?$2}Iycg&ofG9*#JBP~o6Qeeya600ETHk1 zb#7e8*vRO+Qcur@s`-?9NygVz>`>8D>oE|YTaN!se4StZnfQtMs(ny-1MMoQkH2-4 z9z9k63iIBeOn(}*$o)hqO+4|je}o#Ny}!fml1%l<>Hqd)<@oFzou`daTPLVdWykxuABj41~HXzBe|A0K7 zraTgjlth+AxTfvB24lLs|3H11y0)9;vj%54*hlTG_c-dnHsu`w!Y>vBr&PGzMK1r_ zSo0YQ;_3A$jjx}nQ1tI={T=1RbrlWd@t?i0F65dM8~*3lWja(O@+q$|zXSH~Y!mSe z6Nu-2tDB=gLax$ZUCb~`@f?1r9Eos_pg&Sp^lts}vbtx?G8^q2E}LpR{+YWPMhSR# zf7M_6FyU34@DpSn+xOh*-`um#j|5%}*jH0}Y`(sgZ}I9kS@aZ|gWvTLmz?`a`p(a# zFMP-OEK(CM^85jI9Y@&5l9HO9)5qjNHCbJGtYm5Vo*hirqVxK(lupfW?)mx?JM&_r zC3p~i%;ahLVz1!A_%V|CdkShZYbpI5t!)6#a%UHM4`*2KPY$l7*Z}X3=0o|Fnb6j)vl587f|S98Et|ybeAq%b$N*--?|7 zzdgCRA~!yGaO$B%Pyz*fh1f%iaN$mszGpvWcs z%}g*mk8kqhKOEc+Jq@q8XM)H~;wb(OTCMTH=@a?PKfK~!pg8;yaMUC#Q}HuUBmTR= z0{-asX86hAhoEin-QfHJksa`j;0=)KvkiRQ@x9<-$19FF-pL1x9Isg6_)2g$^bB$o zUvU141CCcb{RAuLOz=@i%d!`YP8PWzUa_S;}!39{Qck~j#r#IL!=g&Gr?7m z%De`A2~vFyg1?7Ue&iI93!p;c7lS2^kAjyt{uc1FkjCE){sB^%hr!XOTK`<|2avXb zK5)`Z>z@yv@A&!PR!Gxs1Hb0@$H37X2=%EQz&1$hr~|wQ()c}KCiAw+S9}iYCca|U znbwBG!I85>cHut?Tm)&_CEzEZ0rWja?+0IiG``|t$17gV%Z|s8c@6m8 zIn*8eGvL@l8$S=c%<*f%osPdBd=1ikkARn+W%XYR-T_;uX*5%#UefU z&jj~CT91(>v`0wGtN1%;4>}Bh6Dphz;FHjP{CmOQL#o37crmvH2k_TlPCX1AgntHX z;8x#r@Lgc;QtYyVyuhDAXTl!jSEi{ft}waFpy=G9jIcJRB9 z+UGg&7njl&Ny{Inl?_ntO3Dbnv<92Q9|XU!mcL&CzX!bNa+@{|=3l}2AO4CfpxRZ# zWHrd2w>9}H?x|yp#b5EG^}LUP-vPcaX8A5Kw!!kxyqoWxT!{|EscA+xXqV~$#^d}s zWq8FuvVc_nFu1uBJHsm;-DG*iIq#)@@h=3AUTgXIbs}HA9{b?`82G-eNLk!wi17kuF+^oLiR^?s4H@KNv=pQ3#d{~-9e z9&7>M3;y;2k-aJh{NaO)MexsoS9}^h;cLOHUDWSt=0Wg5Xb1c*@B^Pi4*V_PFF#Lw z_*cLm?6K`_^%v&A_|Q?x1)uj8>jy~39L0&cC-v!>46Eb7Y4)A&C8vI`XPaYXEW9B^YE2BcjwvT~_p;w5b_~hu2 zJPqFq-gsO{df>N%UxhT^$G}67jzx-V#)M?M#sL?P#eXgB6MO*D_`AT_<3lnE|3dIS zXaN8F!Et$(&jU}M5He%tba27MkW>=C7`z@*{kMVZCWWK{{|4}+eBw~o5%7FS^_dT@ zbo^@YBaXiV{DI^9!0`nknU9>w;3}vael@uHc=E#jieG~^<9`rbaDtV;8ho$guK{my zyyCYZE$?$+-ek+q1m{CWH?Y$2iq|`S8+eD~6`z0}A>Uqb%86D^1l$CvoNjRRNg+8v zocZ8;p~LXkfM0=XFQ<;c(3Ftm!)Jo^(0up?@T^Ek4idiztbtyDSFD&yy~0<54?|i< zkASa1TCOADcc2fd3ufoYQEN@P**pkk-4LP8)!bV)rJD0wOzhV^9 zx>Fo8kFkI?XD-+XX?-c~hBPn59p{DQe$ws*XP$3mD&}2a{T1H>X<0hJ2cWx&zYF{| zq%seIpPWy9;ok%HL+Y=%>O$HT{;R=)ccL5oWbhG4$3w;I7ubBafiFRtwz!ylA>}*3 z&p3WJ_;bhigA+<@oP2Nrq~$6GzX}b&KL-9{VMvC*i?#&jlu>u^qrlvJ~t6MGjhT}6Aha|ovWY(WME)L1X%gGlxmEe*nV*uK;$$ogn18c3G1K_!r+w#r>pbZg6u@BNXiup0Ca}ju@ zo6#SB9(c({%h!PWTd2P})+gZFR$E_+*T?A##NP(q(N3MgD_+@&Kk=Kv1)K4QF9t8& z5|T6F*Mbke4_WZLz?N%mzm9`Hg>-Fs0Q{}`!yf|sucJK^U$Lpn+OrwVyxz{Cif=-9 z6Xz&+!d9DhI`~OQ+jb9l(G7OKt^_aGhMm_j=74WQXTtM`on#!O_RIqxgy!Qv{3h!0 zX37E|-5!#kK)NnE0RHHMT7S&%VE!#OuQS0%KSZ0ve=qp@t;|*MN5LCzBQMrJ+rS^* zfu5QceC?wlIRbwKEVzsE!cPW&vjds+*a2+%7-`{~!OV}_HmUgAPcU9-9B|D&*cN^* znD;5hJ9xzoNXwsWB|XULazsp56JZF#%E*ylphOWH272(*hhialSUAHhEj-uzYcW}eyu{{Cx>SNIQr z|Mi$1({_VXAGdi;2XBQ`emD4}^X~<}^922!w9kO^p0s)@z8li`&0t3_YX;&d#=mZD zr8wd##u@x~gKt7=&!gaH_S^d14Yq!RF(}5~5PbPt=m!4^_{VS4R^bnWU-}MZgWn7O z=({1A4*wjO{fzBj!@(mzV4aM=Vo#qPdljcW%bEfI>0rY_$^t+9myG9-w&67=l+e=~UEl(5;W)`0sU)$@Xt^Oyqp)7tIx-_@Lk{=7to&7 ze|}gdT}YdNkASbe6WgkPF>#^Y@ZI2Fp-14mO2TsGLhP(OD5YW951$KmK+mW@cxgH9 z6TTK)v=|%0N5Q+6U_oQU>1*u3brgfRBT*RkS_j!Ii5CgRceS zmr|GTUEq|#;3-A^0%#2z)Pi%2sTv{@~L$QD*o)aQla7pYYva*@tOQ@KNv()DJJW(zc;j z;P-$H-PjgB4i?;oZQ&!}Pa(OIwg+y$9oxcpflqt{+rsyOQ$C7q;S0et?xcNc{JZFD zJ7}L8A6)b?+9!MzeD)sNr^W$i^@ODuz8GwNl(wqz!OXq1Rrp-6=PBAMe0)D~zCj<* zIN;k*qsIAWST;d%^#_0bU37&X08jrBc7`tmPx>k21AGtIcYtvfz8`$%d953Gu=(fM z1-=X1^CAS_3$8xM_yE5L-1aJC0(>`k_n)x4#y^a0Uqddu{29HDU~`QF{s=k*-w%G| zb^1Ac4|w?-l(U&~f!m=`@ZI1;P#%0Qc=DT!f$)W36Eq#Z4?OKCW32jvPe4WL4_@&W zZ5Tcd_CaOv{owk)(uUO^oc%U!7`_;MNHSzCd@tA?%8&;59&mX$Lz>}h!AGGEjRRI> zWXLt}QE(5mP5r@VGBe~B_jc=pcL-_!H<5d_VY= z<1*whd@uOcm<%}zpPQQ@AA~YDA`>han<1m%Bj6$^4?YTB1x<$U0(V2x;d{Xm<1*w- z_*`%cRHSjhZ$tCp`@r+YXGj@*G1v)JY8-G6R0H1&4nS++B`-rZLk$`SJY@p*hc5(I zK^^~3d*>ePMs?WXlXxWy>LyBSg8~K=FkE4Sy?_A$*YSqfAi$&xL$CltW$*=oUyEPJ z#tCaMAc`|qixUJj&FZbIH^l@cb&X0*&`?OW#Wdo*Neo=Tz(O2Q8Yk^{Y!yO=PN#o# z`bXoL-+Z6FgdebMJ!3;FDxMZo{|9MqC^+P8>xx$?@<~vPF)Ecap7m3cg12 zxC@hqaz64ntdnhc2L=N4j|bu6FVa75!n+Qme>oohgzUl{IR9|^$7ApgvRjUUkB~ih z2fj}B;x0UNGX3L0crHAQkwth4*2xmQ179Jla2FmDq<=gJ&m|ji z9o|GX;U?Tcw%|6L_$B(6qq#&u|t$#@EO z$Q0a$;yC)p{ZJz_<#>2I8J6RrL+0QvJamZu@gTg2T!P2o9b|zV51%EAa0gBe(Lb)j z$H*$&hMwc;ANRwrkd3$we?m6l4xBob{&5wKkgd1@_mDg;rj6s@Vf2s3;GJX}o`R2% z?RW>iPIlrh{Nf4pj|bs7WEZZ(Tgi)f3fg2h?!bdiH43@|gyaj(wPLShaa0dP3D!hpd<0h<-IdVMgl6kld-zAse zLgl_e7T_wpkSxMu@D{QJPr(9Ng}312WIb-fcgaRvoHR~MBAf6aoK3diIvgQeaRY89 zdEA1Jk{WKqcgZ$foIFk(LAK*6oJ)4%IvgQS;Rf7HcHtI$l)Q-B@Kv%Kcj4zxp?^FG zXOq3S4wsUBxCy^alpA>+_%NA(ci^*RBJRL_WHRobIZn(VQ*aGlM^3;EXpxzC3p!*N zci}Oo(m$@kYsfq~9=6FPcnA7Uqkr5FN5~>M27c~z`p1Ltda_C$huz@c=Sn)q#Z~lhHJ!`j z@Uz#_xpcVrdOF8Vc*G5Kj;rvH#dMAb;Z;lM95>*uWps`^FlW#?-hyLm=p1+9m)6la zuEM9+)43cEe{l<)%H_$n*!4Gexb9wx>apEsG(h+XK!|$LMT!lB@$(qMaXe8-h zI$XGk{&54|@-6zuQ&4QCf7}mGyodgA4eld5!_(Yxl zaT^}mq$4~C4{OoCba?#3^pC4BM&{uL{HyQLKW@QkKcIhHgL8J!Kd!^`9;JWjaQGkS zUpid-82#fWw0F`!?!ezZPXD<0;W$xzg8uOqT=FFS%kl93f1-cfg6p29e|a39{m=A| z>u}mL^p9)s`Df`Lci^7q=pPr)j}v{eOZp3ZjxWi?}LDcFW`No<)k- zgImzJP7!-?6P~?95&Li*KDbm7{?)8Kc+@gQ1aKAJXec6xo3KMdxD8LeQ4uPxNv=^u zSdNDm+@y#I9)s(?sqhRfz8AiKry`=bNGhU2Vz>h@ODQ5Q$HSw)!~Ad+PP$j&XLjff z?z~?SCT_#Y4=5rj$G|OFMWk>G{!LX8X}krGd5{j}7#R9nMUF$yhn6#8`i$y5jNg| zul=b<^l%r>oa7M>uE8`J!!7tiz{5Vn82HF!kLcqa`1Y|L;k$|TcAQ6?PW-qAZz2KQ zggcJ+h#+pm_*9Pw;r?kJG5$o4P^H6zr+Y+LI=q=^cnZd6ctiv@;6tiM=y(T4PWFgJ zxDFp8OXP9*23du>aQ5jQv0jdWuY^5flROS5&+>>ZxC*t|9COlI2@I!OV0X}#! z9pW8$+@*9VkHdRO0Jq?~B#4Xo9`Rce!u?S?yqpfD!<{6I+i=PioExsfdq@Pg;CB|# zp>()?#3Q0|JluDkN5pV{+#`;^f!=Wy-oDr)3_JxFEcJ*4Zos#ed4!3J<(wBu;wH2W zk4WJTykG@u2#>*yD?P%(Q*iSt`o%36y~!h5atu6jtw*$R724}qx3~jC>shz*IDF$4 zzJ|Lnvw_a>7JTMbI+x>N?{?O$bhzPe`o~jn%Vzq=EqKxv`d`au4PX8?{o^h?^IrOw z$KmEQ{o@uq=CA1=S7CfBbHWX%e3$-lKeV&-k2~<>JpJPuJgZ3mxDHpA=pQ%XJ0yyW zvPbM9G2DUOQQiZ$VW~?0cnh9hr+-|7pKa1V?uQc|qJKOH=RZvUcnp@lNB?*W-tYtZ z#|?PG-_bv=!RX`qKd!@nCtcjX(<453ob$xR51Gpobd8(v)h_+x zE_~}L`j=y#_J|{XME|%7C;kil<3Tv-Svp^b!wa6HXFLX{y-3fv2BSok$6GN|#BG>)i{9`Sy!{=%A5Xy>-laF(fZuwbbH*(g{Uu%DG5F3t zy28b8JmR2nUeUt+a5HJk@zA4qMMoZor+U4ji)--w@m|(0y}{K!ujt_>9QJ!z%N&QJ z#Kl|ifiHMPUpj34iC2i5xevhOCVGVrSK&Q}ctrrW;Fd$ZA|xHYPE_25k;A;kJ zhgGjg;yOI`B(F%}D!iYhaSQ&6Sh#UA=Xk1Dl<^J}r_m?whtHnw6&>7x>KXKjYjDCa zed0mbB|Y4RH_xU|JO$OSdc~L=5APu^ZoyxWJ}%~X#VbUt=k?)-b9r4{oZ}TgJI^a7 z;x2r6o>xr9JMe-Fy$=is0P06hTm)u6=>q!1+;F7-{xa6d}4vdkUK5)r% z2QImA;F1X<-%E1y;J9RYa9r}S!EwnK1}^!_flGewFAlt~Y)GnCTPW;KxRO z|IhI3#8RG`dEj@)XAPY+T^-^vmpogQU#6Wk^z}>5IWasWpVzr;(ZVG>Dq_~q+L4t* zv%mbu2M_ZoqmiXo^M57f1(vOxHMDxgvNKm+!{gr4_@u)|K`y?k!ztd%WiTiJHDn;px#*?v~!e7RsQlv8uzTs&vwQaLNv%5`#f&dIqsk@x3= zc{Q))^?WRE2Sx6PELaWdz*afHH7DUls z3>MX*R@95JqER%9siIYE6+1<{=oHiN@gilvP!K|r(~C$l3NmG ze>qrI%UW44$I3?8ET_s=xmE6z?XpvL%lu<#G&rh`YNPsSY}6PvM^mHLXlt}HYL7aj z?x?8vE5V9d(JFc+Rxv7OB~`I16lAeigFrTz4P~Rb80Vhk+|xM@cG%0nff@9fgO6DR zm`A7_W+oBl5@j}V=94U^%Vp-%W=37+)MHj-%&X7Le9SGt>_W^h%nT#UG0H6C%rn7E zlgu^EY|G5I&5XOuxyP)>n0KF<`EU%oJpEgdhN@~cT-Bfw5%9<9ggiF&f0u9xfW zdbi%IkJbBiUn9^6HNuTZBie{J5{+ad-6%KOjc%jY7;E$!zGk2qYKEJUX0#b^CYs4+ zx>;_vo84xwIo9kqnSkJDpIGZYD`17JuobbQR@_QhNh@uYt+v&*dYp0J@^P*q&NIR} z#xsdbGLz1fGwn<_)60xy`Was~z}g6BBiU#+o=s$v*)-RVymES6JN>LL7vQ=H=OVc% zt0%$wN$1MBcCMT2<;HUToG%~9hw|ZkBp=Pk^ND;ipU#)_?R+=i%a7&zd0!z=2o=JG zNFiE?7ZQbJAzdgJ+J$bRR~Rew3%+8Y7%GN~kz%wMFDB?eP4{hj@6ma`=qm+Ep;EXM zDMd^1QlgYBrAy^fyVNc9N@Jyd$;X-vv0@{v)_6HFSgUQ;X^%D9FZ)=XAy#IDRT*bR zCRvSTR$`Y`IK~R}vHC)lFe@+0s!OoqsMgQVX4CEe^%dM=#oMfQmzC~km8-09oz-oy zvQt&7+NyS{cGY1WikiO`tf@7vrq^OMqh{7pHLKRDb!v9askt>#_t%4UwXW6mdaQ2L z&3dYC)m!yW-L5-zw=Np~MzEnaw1(b@HH?PYNHwfRtI=uL4X5EYMAP34Hr1xq)SI!U z(KMT>rqygUJ59UkG+ntKgZ#{$T$YyK3RGVk8y{e8T* zk^8j!SBSgs@7}-o5l%jlK#dpb@Ow0@r6lK>=1j|6d-7a+`_Hz|`T98H19xbZ_tUr% zb>20`)oAeECRe0vK+gBTEPC|t@vbJ@2<_k3G_Fydt5n|QWiJQr^cGiZi|e(+6>D?N zI$X6b*R9C=_V0Qj_PsDWUxd9c%I+6u|4Xm~CfNhi?1E+X!8SW#m%XsJe>d#2ANtr4 z1MG<*cEvFJVuYPB%H9}fcTBK9CfOm=?2%=5$u|3Bmz`2x?a+j_>)8nF$a)p@>apP3~1(tDr# zxu4JP_s4@~&ffd%z4qQ~uf6tKYp=ae!*%N%g${?q#a}k-aBScy|AOlGU;k7(9geZ5 zZ5r$N)##n4Z*WF;o_^JW+m`qiExzm4#W&sIYrg5uJMW75K6i_6ar{o-ZFl-YSIqL= zao5eaoL5>}?9YLoeE2V|%m2;XoBu04@qvARCtiBugZtv@xpv>0-1}ubC%pQ=z8lr^ z!F{)>=h}UXc$S{nv2O*>^{;m9yNBoUf9u%$DHVTkpOjnwYHY9lOse>mw>2-2IzOq0 zjbVr5<}Z32e|qbM1^GM!jx!u%3dW9i%%J0zo!U~t)2qTkQtfbo!!b%F4L=?0NE9UV zuh7xdnlF?qOR5bd|B!sS6bU+ZI0_t-B(SK!aZoC%E^v5`mxSEEmIB90DqZ$hr(;|` z?PH#g^1fCzH21Q}=~zqCKIz|iv0IkKcC=6NO05&wda)p>R{$H7y0;icjdp8xzvzRvR&*%?(I>8qohe4b+)D)8oA8Pc!P z0l{lWBkv{4xR2&LZ~mg#O`ltMi$khv%H=!tBl$YdTfAg(Gg%HwzD2owzK`S!p11gx zg?EuraPDZ~y@%%+AIUd`)c;@qGg9u2rxZB4cjW#V$*cU{Xfoulj3%Rg->j>zF%oZ7 z8|J%4D&}u8%mdc5*=#mkv&~4x{JyB!Ynb~C(_<~T+2Jq}TdL>Xc>NG80cj*}@O!Q? zTHgqQP{VXTlyy3cnk`1M&0nojp6?0yeGcA$vT}EHJ#}}@F`jS*@_>|bUH$2$nW3qpXLh-^ut!z>mfS(G(3f%vs)Os`PKt7IV5MTX7Ce0mdD`F!x(`livP9+)K*$rRnpD z*K}qsO}uyWDoOmAB+j%G&(=4w;Mn&HQjF`t!9T6 zQpkJ6PiBYFx<#-%PY`b~YMxIT#G^8Zb2gIKVSRtH0NiiA_x{HX=hr{S+m9K}9l=@9 z1KmGhLz%0f^cks&cW6n}?6#f)p8ZbGy-RHIU7!A`E&$)CYB2R$!+bVk?y*XxU(yyT zs*<(`XNAp5!+c&(ym};RZqo-HuBf>ucD!x|Jq^u`uEYDIg?o(VzUY~IBF){?%yO?` z)_YCE!^1Neau#Z_G1_{biGu^t!oFw?)oi;yeG*j&DUSFzf4+8F8_CoiD0RN?bTCw1 zUEcYJyRzB1v)ky}=1u>Y$t-P>{@NWH#~@g*GU3fW>*l)%Z$^7=(I4w4yr8FoYil0inofmY6~CDL)(Iq< zeUg~I47ie4=BUhPubS+3XU|6}XzSG4KFbINCk_VJGTp5g!AZw{v-GcH3LJ@}POa@s z-nMUxPwRE>CP@uus^T%$2s(5d538KU(!pXyGN3Z)!lm@mV z;|Z>Js=7M1TjRi`)eY{TQzKF9h@EPHj5}4sV#kGRI`vdz0i4Jz%vS7Z0M>U#ht2thC%bZ6*c}YkV)8WjKEef+GTN5;V74h_UZ#p4`eHDj|d)qc?6&}tUsN?BAX0zSGM9> zc|%|8jKt0UT3QhGFEC8rMj><1QXMsWByo{Ms$}K5!SBmfe1>A#-bA)w<3UXx@MboHtCtyJG#}7+PsjK_*y34 zFEWpLAbu;;ZRzK&_n|ymR>k7t2V-{&V4YbE7m#&jwZtz_@z{CPQ8Qn=%e@iN%}DfR z-_h2%!(?DUXYi1yJc(YzqsM(Zzs@I|b`v(zT8DKbl`CFS88y2$G+gI!%&&8AdkrSJ z%xEtCCjn;jMtKxI+gc|wb9~+grZU;|%J@~$37fSi^>QOMv(hN+CpgMTm9#`tCC?hk za(^VSCst`rD~SfW78jdSJcV7+K<8qQk=R_7c?of#eXotD#65n;D#2JWcpk;GK%u>| z+s1dt0qZpyTeBCujA?rzUS!-?F{6lnDW+)WX_;J4ilgH|%+gJ#hxca{ zhwWCp)i>KP-;m)H`Dc*9cxvMJUOM;d6QHX=cRXe!ZmEQ78!EFEFJ3N09ICu50pVRNycg%uZbncH`sy%8qqu(nWxh>8sZ`i6d4A13f4(QHM8%!c_bi)=>f ztNSJ0+zzM6R$MG^Adg9T4v{*j-l|N)T!O}>EO{Y(LSRb3CrtPQ#4W>Y?^AU}{f$Pl zU8<3Ws6>6k*Q8d(N88s*J0B93o-2Vg-P9ZMH=-&Ad0r)aAzM*EqY_7)!hwM&j5ZY> z&>jLKA-^G&eqAbsZw0dzUnIyBFM+&0DWlMOT9~Byh`%3XA^i!?=63H$2h{SR)_wu- zgaDx1mu$3Wt|wk?G#itQ!oJ*GJ$-nto{-qsMzhA=U7FY^Jk}9&G285!Cc+tXz+`c- z+7tjaCo_n+;4{pV4D)Dfpn1t12jk-sD=J;_6U8%ISzzO>TnzW2aAEB#)EbPaOScHgUwa)Ndeu$$ub6`+nDw z@{s8sC@65~i9Tm2>HZ7BOc7~+B(OmQzEH||FEFt3Q_@yy51B7W?fJU3O|On#QXC%B zMcE%wq}P2K4H4*}Wa&79+NRgawZxa~gd!52Vuf)e$2;tIrz}}cj&Vzt0N&YebiLv; z#`KGN!LWz?zB9Tn>5gAxy7#^fE%$kP-CYD^o+jPT5Yh*`eX-g^pRd>b7*VK{7ym&B zD^p>A=*<10!2UQC03`pxNeAPliPHOc8%&O0#Y0B53UWcBs%CJ#O1}}F;w>$3XkUd{ z4gDLI=dXb!n@1yN-#b5!nBA%fxrX0I%>&x{y^)R1+`p*y__LA35wG^eL$q#wM7y(V zzSh(kX+6?He5p5${OXuLTz=4f6M{`a{9&!k87=HG5?x*+@$x`)LRW*?7wJkD#U@7s zrMm{e?0roX)y{TmXX{?0wW~$N^hb$45y@`j(aB#we+TFDGZ6n>Byn(!4aF5ZUOP<+ zIH*SIpg{cZyw_r*rf6j$=K!7S)=mpLv^z@K2lp8)&`z@MNW`F3*V(fP@l@2{Pi?Uwl8 zlQaLxJezq~5_rCoocW#vwbMc}qh}sU&U}~rAMnmAfAf=#p0$m|`S&U==?3XMmF}_7 zPgEuz#+=#u)w)c;pkbyP)L2GL^ugDyze8CK=B=Iv^Wum(ueM>r-v`64`MSB((Axh9 zu8ibDC?&blUmK{=5*<*v`GHZGHAC;YqJaVJUNK1#@kk``Eh34P?|B_s+n4QNi8FR0 zuhGSj86$;TBIfV2{q3F0R;`Y;u5u{$R)uh|ydJ=)BB|0vgsk_f)e<#!lbW*TPUKON z&FFhxU9F{&!W{szT(mu6P7OxQt>#tlc_Ze|klEmf6#h=weHCx2B!F02co{%PkvrRy zzDO3k&h%E=7ctlPLgtvrgn#ORx3$E7k`y+(%s=SJxP^Po&_271vi1;>E-qOUGUvL` zrG2qbxMpt{zImZ;K5Gl;Xwc5 z9lE(K9M}`TRPq3$gaUDY7yPBlsJThb4n+il)Bot z#co}Tt&2*H);cx1vl7c$ys%LC&h@#!auRFTQfN@GmL=z60|P|+-dLGYIJ4F;BURRC zKy}8KId#zCrAAY)!VD%*S>{k|g2-&O3?+=q5JqKWU&-kQ$d%T;5Q||p&dH26>Q0Wa ztX)abz41e-DLL^QW6|Iaqq)E+>`L6@a;!Wd+C0r=G+*h7m?fj5&935x!mdamEKtp# z+&Wwb=+?`wtgk;9JFfMzhAVg$w_YY)i=B}<-YTWi#IkC~YL8VwFl%7e8@V9ANr#N& zGM`~y@39W5$eb!``z^MOK;*pbl9=f9+2Wl&UQgO-%nW73QDgY9U1o?qkKn%|QlV^K z<*y7u@7_pnm!LZ1vGdMfmt*Qf{7K=?bpL6xtmGB(5TBQJdsxSJl;n3erD=;EyV z5NQgm$d7rjxw&AD{~d2L;~Aju6Uc5yKl~y=S}AJ2J<(Emn|0LN6g)rr@>CPVryM~mpe6L_R!uH`)TieZK`e~vDFm`ypg_DjeIw6=Z<{K zP>oimpo@V5vsK|5fyf)!PG97{`&Cyn#SQoUN`*vxx&i&dTe``#|V}?%#)A; zs%dl0wrI+I8Ugy?lRlV`g}_G#-Y$j3;53i1$%oBaQ3vwlc>pj@ifx3!IDqu#GzIBz zJS-hZzyMZBzVHbn09~g5+4{OEaJErMnXiEJYa7mbfpZiK^M~N<5+vjrSD@gG>)~;*uN`GfyyM3)-4rqKL#B7J)=g;u;kwhtPC2)=8J(T3{n6qLGnX9K{p2gJWBvm zgL?`AL{F*+N);}uux3b8F%u}*V?t&Rbe#h~eF*%BS<5Hm@yVJI8z* zI{#F5yEXVO{g-KH2Ahmj`C6m-a<5UiIk3#N`cHvno;CY31vVA2TnzIUdz>)V8|EJ2 zM+WzqQ(Se<)n{V6tJ7U;P6-9-R-OTDXgP^(@rTRUQuXEZ)kyX!2%1gR@zl)skg|WVj?K60x2NJ2h{}?+a;R z$ZBf{k)c-eBAH{i42$uy0U=tX$Pp5x_2OI+R)W}*7W!Ytm~>E)m;1C=nVPcc7}lcZ z?4_(WTQO#7Ua)vTN&A}D@SPf?+TvZF`C2kc>a+1H9Vix)`!>d?2VXH zf;nwqN>w!3@G!fq(Pa2>*>FUynf*+}JWeSIMsIkxNKM&_KTH&!)1VnOJFJO+VcxZF zIY_G_R?Rn!DK|FpJepHwulWn$EQ$*&+e&LW{}_XqY>#`w$j$Ggqc9 z+(%jw%v%{gPTsxdYFQJ^L$IKC{{6;$&SCxAFrod5yZc3GIihLzm9TJ*)X%4y_ut!y zR^CwfEc$r&x~N%TPVMv z2Fmx7#q*P%?saA{Wv960{ivjr3%YneO3LNojsPje$U3EfvZ1xXg5mntW4BjTQ@SKy zYpy~ST|do3bgkjZfwpsZ=jzW@t)lCvxD<33gIR3QNNs)bS`V+Jy!2mOVG{H4jIS0Cpz@8;zXQWEtyW6yTb(Y+9iOKp)n4q+KUqt}LisSG(9Cx1} z0Y{}{Y3ZQ*dv7@%1zP*f2qRlRxT|2xcURxFu;8F%0Q1@xw=jL!dyXVtJ}r_+`yvyz zMJDVKWhtuJrM9U67y8HEn%=&1n8+`uMpv$j?npq<6Fc zi079dwV&VUw4dKQD9`uTC_cjTOOM*|uXozd?;hldIZ2vpv~HG1q}8$?b{`VUSUek2 z1|4|$V1s!e(v@*fH6QuLIz>j$>)BVO)AtwS@0BIA=Kj&S5NW=lv|Na^;80pFL|W5O zS}t@~w75lpMMukn*rRq#9>hBBn0hR99^CrD8pqZnOS|W<0|Ot$*K6SGHNn?wg0I*9 zJNSAnhp*Ri_g+vwI8ZQOCEwoY0Aq3HjTQ3M)wclT$&F}$y5hNc5Iy;lZQ~49g_#K zC+wI!gx>6!Jc#w%F?kR>XvfrJp;H)&qkG8SfJ6{A_Zk!SU;{<|C>t;YR|(5I*rmlz zgj4B*cNS=(49B^-ld)G%#ok5IUk|KC)Gl;*%7w<}E3U|4bl?9apQ$nVem*lZWX+*^AR; zb(M+DctF{VJ-X&C*0r)RycNSS3zg{X4b8^51`*nwy6JKzj(iXw!!i&tpSA9#h4zAM zue&0$2NBt=ul`+@OpnoAKTcM~pc(SG?1flhHeWdoV4^bo;dC z^0G+bUL)}QVvLtv;XvPFON8^|^;9H_th;@R8S>^@i$t9HhxPa@+qPxP+t_-TrsVod6~;P4=D=4xF|CUl_X?}G_18Pg%yWUD9S8N30Zw$ z$;D<{rVs@%Si9V-waM0B-3m|KQy0)uQza5uSxh#MQ3#}g!NQiAYXYcUCsw_LzTBdxOpl-aNJxn0(K zK*$87OzbvV6}uTxvdnr}iDrGMW_S+R7!)Fys&|a?y9W24vhDDJY?s<%^O?PQ1+`Hm zG6dO`N~Nl{%^cm{A`k+U-PrhdR%@->ZkVjU(Mw3AwWjWw`*R|>nc~# zxkH(vNb@4bX`;0gr9NRfW0Tmujo)gduAy5qs;n8WXR}drpl)6zX0p?z{mt`e{C-{8 zLK;NZ!xFH|T74V}I?jE$VkeF)_PWduyV!66odWAd=)3eUD05D~vD#XxtGiQ`En7g88oBs)3V5si6-;b09#r%FPTjaoxGMfz9 z)(JAfYKc@wQPAy;4(pmj0`(F9qf#WXrD@10btBq~=x{jy3~dIX&h1B?s}hPf-HpG` zt8;Ycx1wlC=gj|nj8FqxMab+p0HOKJZo#)pHRO)3p(^8P+JrLpw)N6j_CL)5tfAWd zS0XhArnxVW3wEKQWf{|EJ?a=@=Vy+iwKa4K`>T z-zHg&gaJ}(O(nqaiNz$*RExhKePO?(0<)v_AeLA0*}I<7>52SAp%qYZITrVDr;%K> zA>YBDA|2Zu{2rkZEzs`!5((j&H$!!Im1tl5H5fPBAC*3*W^Yi+P^w{n)Z8UA#TPbv ztSjEiW;Jhkzo_MX^R*@WJ@d8IodH}K63ZwYH5>Ma%v<`!n|K)-Z=Yd0*h=y0=xz7{ zMNHijO}RQ)pj>c?sKc9VctQYZW#LD447LxRp~gJ?sL^HlLTubUDEuvIu6j%iPld3Q zuD5)Q^g1}N)+T$ny17*#1F!=iN6b)%HyQR=556tqG97DPCmSgyV*zp$d&B_-p%cu zYuEzA$njR}bA~y4U3wvcVMqJdXc=gWlAQs;+BLfc9dk|x#KE%>%zRCngUiUH!O zcJI5uWI%nfvDOmiywQAxkM6`zH>di$tb)gII4EubQqz3$f=)p1eJGB!5mV z=n{V?8rWLLTxBj`qGY4{?bw~xO@L(D++~=nZl&d3M=UNLJy+ucFHYN2q{g~A-q<|7 z^-{IbcQpao`3sqMER8ilGHYa#nzOF}F(IsM7|NKlU?>E(as;#vR)TzSny}$YnPzwr z(VAg=%$Q2oLG8h>NJ8NZk73T;ZFFUP zhU_4XV+U#6*ApvTj@Y@;=G$FX%bT#w!mY7W!tHM|1HM4iXr7K})+Lfd3)qb}NJj?? zgYi%fby19Sf-*1&1E1sIr_m`0G?;~86nd2y+if@ds~uu7%OUlyBQkP#EY-8Uba!ef zu|)nFQP384#N2~Lo|s<=q6D3>lL)#b)fF47w~fLrvnb|P z4zsveyEi~z479TFGq**o3yN50K{5*EW5MpTx4DBVL=^A+N5};@-rXN-aLtXkF8!cBKpIPQ*jC@GQki&w!IIE*`A+ zJGJ%)Y2e^g*LBV=OZ>*amIOG|9d-_1Y;N6&@r$G8JdCXM*tH!q83?@imhL%YU)sIDrKDM(Ukx57 zX5%G(Cpalwyr6ZBPcq&;&oHM}Czg2}vDwxnCA#)YiqUL%IGhm+YU}U!=hiym=Sqsb zU+q{R7mCUVi{6YdDQF@Fquwo(2OX#QRQBC2HIOH5iB7RA0YHl6ro8Yk3UsuoDp)s} zbCk7qBW(}SOq1-XED)MmBs8-OnrReKc{6)W`F%=}4sjGqmCi+>(yr+=l4Fe2ERT^g zJX%?SrFp0>|ctjV;&-O zoN^yHPpT0&FHia`Y98s+k#avJZ!sY!o$R%d#VR1nU^niRn<^Dnc3Xbd=G<)Ql^G&d zX7QaL5}(!n;n8qSHY96e==9$xkv)34EV4xUfMdP&qOg|*YSj%|FB4-!&}VQ?t5a38 zw9!cZ%D+K{ry6Q0!F4mJ24C1>)Lcs0n20jlt!Wguz9lfQ$y*Pp0KO!qg4*cA-v$5L zsK3dYjqiBWJg8V{v~JCu*tlL>pMb(0*7YjCvB*f?uNr9|4vPrENBxGi$StVcFNL9_ z->8OWmaz%yQ>DjKI?)s)i`{M}r)VlTUCJWA%R2gk^s!ArMm55{Dp+YYx=c@|G@6=0 z^zuscYL_`STk+aSa?T9Y36`s(&{r^DUlclPjGAhJ-C=EJ5+aDkC$?UyJc>S(SdB-K zpV>d;QG^W%W$|t5X6Y@qTXGjM>&`z3x|aE@TL?sx3+R%NJ2sk#IZDn`d;lA=DQD5} z5-l6NIU9{R8e@f?@HsY0-TDS$VY=xIbj9cD%CqTe-PC>hgidj6q8U@FB6WIIytKDa z&}HYWv2&iIn-OyMC5{#>^+giPs~z!^tet<%W_yD{$*d-uT}~OKusUqA4?Dn)anw9&y@>!5H7zxCO4HmY`pd1X%y`q>OhwsXbpkm;`D^Hbe`*iB zLba0eKsgNvtcDAYArNgoY<*XRq2?K$X(`u$ImxNSzSM}c#7ZZkz&LC9h%}@52B*uq zRZR2^D}M`J5zP$E0$EJxiZ=VxCG^@_04e00wB{1TNsCU$+@N3$zP(#isFs{0`YPhWskUq=D{_CnZZG<_zm$S;(1#Ok9D=5`tX0{-6v?E^ax< z64<}`%nL!m-A>>av`i#{z|va?Ci? zyeY!n*{d6C2CYAfWYT;El2?ySVy9SphLdax>y(5XnX*Emk36so$Ca|@6c0H)yVXea zln2gV`3typbPss%@fcC^*!n+I%Xf~=EB?{P<`?D^6gFkhb!qe+Qi8=KNKIc-VY}tIX3rP` zn4{Yv8?lnrTfke?JcKVzEGk}~@Q{#^*qt@9y)Bc_HV+%AE1cHGN%k_u+i_7?dFmRL zpFZmsD!E(lx!mK7BuCY}APeUz5;N?mqiPiNOkq^=69`-moBhC`&GV%J$TBgHVUD(R z0hl<`(Nj;N&5`Z-20NCi1}a#baoBnL8Ce=+6My_*fj3r3VRkuyLA&NKNrJ&_#Y)($ z?1%ek753-jh=DtwZ1ii`o8xXe8+Sh=2Rk;&iePK(a0#dbe|@zC3C?PzSTK~D!Wqp+ z1qvNnB*K}J%Q&xLD%<5p^&r#zg?+fAz3>dGu^3v4Hpl_d%&0)`Di6B8dlqjw3%m(w z$YK3eci_2ZB;8?BtvOR@Pu=)B!twJ}hU8?wWQVc;CZF>Z$$6fgQQf=3}qoTP)``bY zKUCFMg}}yHC>GICy`$9fo!uHq^vqEQSJd+@XZ+hk-c=u`>OiKc(uX^#==RPzXsj|d z?XkCJq9#~PQ|URRQ#zeC8D_~CtH4lg4A}8Pnoyms_`R36a$F|yUS%Agq0(`@w$29` zM&c}uaGqi$J05;tB|m&Yg}>X<(sdk%hkU?*@_@d$DFY%%r1Z7q=LA6u&Xm(tZjOE%wkuzAOk(uds~DgZOFVbF`I1f4_fEO7(?sEpSy?tH@i>e z5lvmFcBg8^$FnUdv@8BOh%SbCf^0IJF|zp;Bbz@~HQ$qEOuIdqO@?_jtrzRVD0L}- z;x0n(hJZs}W_eMETO^HnfjB2CZk1#X%H+bLXKO;%x1f&9kLcQC*az~ODwDWLzj1_5 z*hu^zU?~^;Pp2e3#65GgB`T$)jiD?N zNYv4Tqj8wXWn-O=mNi~6XI95cjl``Uyl8u-dYu{e`>tUjLmjl%Ur(b6C`rC3TX7tP zgw5b1$CwKTQHz*WP%A5Hjt?KRo+@qbbw*9bY8|w81+*5MW(Fp#@Fbd1*~}##BU#g) zUHw_%v8|vuD(5f2&mUmKTiFE)9ElYVB&L^pg$W#I)|anScF~x7Akkd@{zqr1YErH( zEB)RaW}7(5*-3Q=5|iuu8H=89KYtc~1NF%g;C^(JA&Zb~ay#kKz39T+nJB z$xHo(fWadz}=&bz|SSHR1QC0EK1@Zua)_zT=d5q zW=gVKM*^fJza`<|ldROgmLd$|LDGXF6CP{08c8cdbUQ*fua25$=;%VC8KoQA{~SNg z`s*beu6LXuOIuAH?VX6>@^U>D{2+1UjJqfI=+#a(zI*j^BnOL=Sit3AJGMxl91@ty zRFP{*7(1*hbJCe!LQwCx&>vwWfH0_Q>$^a0vN)VtU7(N223tNjR|_ABjUq51 zK04TOfq^q?viR^;HhHp|I@y}KynoW@rK5w|(>;mK{>-VV%fB<}q<`%_MwD4BbYTFyDsV$40Z@o=VbDh4F4rIpb z9o3Ok5Cj))@XDyUHx%<|e^V8UnuRrcnXQNaf$c0cqrc^--Kt%QuKvuK!>uCzqs;Mk ztEAP$w`B_1cnIuVQcVrI*`qzaHC67Z*%s*6zT8#Q84kQ1G7o7FcaG`ndbuF6%`@g` zBnyrUGhd@Q=;(#q3=yjc)>g;7)}-M^Cog9B2YWs76J*JXCeIXkurQkRab`qz!?9jC z94+CLktLTaHd-ms=I+d?M4hqg^|oxRC>$8L`|6CFCft3c+Be2}e`Z$i30FJy-takR zNdNo9D|%NpbAhb7;&9*@|T`C;?^GAMksbJ?igBIg%BEh@fI1Pb_m>1+ySO?k%myb3MznFM7n4DFmwq8>Q z0n=MwO*M{mh97fg)iVeT5c)?z(Od1A3o=h=PhODuiR6<)L-~Sj>^<0ZO2(%z$lRx` zzaVojtsSMc-2mC!?Y`0u6=-b+q4fFu80=k&|A`##5dH#lk@+aeB8$qBuO_6m;X*n1 zlKyJ0oiK~x`iHxWq|Z6WO$5vK_NZ4NiCJIOWfie-j8CjE9CCD|KG*`$jy1B=gRqBS zkFz>kZ*a5*A|PR*X!y#2w-UB3lz=z-C&}mkj|TqlXy8{9|F>wM_~^f;fzL7YiU#ED z%>Sc-A(rz0Js)_Y`hSZCMjigwG%yxHP|?6mFuVU18ej?MzzY{@wTRdw%70EFFO8a= zhS}OEse3HW!Ch3P3UAeaC(wJeCb$pF%VD7d&+Ya_yo@GOE$V?4Fp7F#EjGSdYX&R@O=uaf*fDtHJYtC- zNDSY*9`-(h9lNZ%X{A{IQ>qU&JFKrhA-fHD`_V}*06^+n!bb24x}=V8%_VPvVXix( zM5BUGho{5Y))_1B=L`BOGHU!+(qvtm;_a&DY!L>{Lp$;eLO<%=}x+OmC{u>COg&v%A-O}SC+S8pz!t&vXu6IN) zcV-G1cx`>XUt7P8vy^>_SJt3jx~^VZ@1Nw+5(}ixK5Wr@zqsMFXF|$xYvjLO&oZfQeGl;RNSq$5D>s(~z%nZ6$nU~~EXR;pd zzx?9l?bVry$tBh4FH)B(h53EfIhno>=RSwrqZ8AsxMMO|f6fySpVodQW$-2ZWZ@Wq zzF3goGh-LDPH@(V}F17=%w9^ha(?aIF@}=Lh0|n{73gIW0 zRDtzc8l7BnA)#n`w-Cbs&FTs!m2A{4@`yd@E0Tw+I;^iZV*}e7b7$*)nZo4l zK6C|dsDtIE6K%{JT3cTiX42i0gDQ%rX#h1{GT8MYs3+>$(|xS{IpEf1p8z>!px95( zgVx%=iAgAH6XR1tnw-(Pnwa}zt9oynH165#1mmsRBQW=Jg>6-h$bzFEu8fE*bS2w#x9%`i}@!l zjg?QjM{7Swo?iXJQ9RPWv%_M=O841e97-JN-|!>MtEF}!4oos^x_1L;6srld$C1=8 zOn;3haL^GQ>HGPy^Dh|APYWHH->V(F%r0_5XO7G*1VqWt+<>g+)jJ%MYT}i8%QEN0 zco{-l0k6d@BNb-qCVkd^cVYaz+`BRPcjM2QGl`>o#wMrtUge;{{Z^Zo6j6LMS=0p& zVh=R8%pS6hsax}!IPQ9oK@wlfp|z8Ra@r4b3nd0?E_Hf3Qup*S040vzyk?2k_OJ@h zT2rmH?Ui6!k5wkp1vu^VGgjEkXxNL^{vt1hiPVCX^s}na9Ifq16}S$~`RGltgNdWf zTKlg_;=VVs-UhtDXy<|iKB~R;}S=g#7YxKlSX%E9_7J3Jv%Vs2J@GoyLqQ}&aN>2)a`YhIjJs_FU@ z&Uj(CV{1x(=CPN!@DFwocfm4F=?P8VU)^$aPR!kMRF4-1*U#a4*U1NrL~lXJTyail z!U`iaAv?IaB;FLoPOqE)z@)|gz0JQqhRa0j7I{WL$~qJ_L|o3cpjERjDOD+-gRGCn})hF6X706V(-Gc(%$W zL25Rl{Vr=g$j%K_Ay~S$D_sEdi_eUj&9wS`X?6Hmkoe;$kgK&lOz(+y$$ zt;SljI6j6W;pZ#nGSk^1o2{6`j zu%`=dj_t(QJYL)(XHlj+hZwF)m~9DG9;GSxMJzGmkEZ`f^$9JjcoZ0sCWuWiSAB?v zg|#P3>?Y*dwol(6d`-a7n*G*=v(?5%BxHv7%gL_bM_Z)jTQn-G1sON zX;W`tg%LM1(`Dc@;b=D(g(CwzBw z?06QV(pZ_^Vm0f7oo{hpM`jee9$fhtMSE}Sgj~wZ&9TZJJ?h+JG4iR3CyThcPYoA2 zNM}{Se5iI);mo;v6B`qeDrD#bN&#Pf0`;Dw`(NVBR%hbi(L`q{nt0~qcxB7-x?5wT z_?;Rr=|xI~2$VsbMFy+q@<#VuMfSUm=6>r$@!wB+G+diG z8;qLQRED+noZ-9|AsvBslH-*V_8NmPyWKaaXuQ=UC^x zB6ebdD2SjIAue_}*A}1_brk3weIXSLb;vDgf9t5PJ7+4q{p@_p;-?+ko`)F%uouLY zrP7+B4suNoqIsRm4UW^Rg6Is0b|jn=nRM3DN@LUMR4jjL#b-;l>Tpke-4eMli~3t8 zm5HYe8q%UCoXJ^mv>R~W#c9{pjl}Ojwg#&^X4VN+MJ|*zb+N3jm5HN5#w#G>&$YbX zJh)kim^Fvp*kN4&IaKII_zgE7jFz$FN|#xU?8c~Gyqn>un@v8c6^)TSupziAqvf+6 zYZP7-JHMyC)|olm2D+lrFdw!_iOXLhRW0jo0`$gDIs& z6a9b6D4n6Y(-L!<>F0g2ozO>|*Br zbit2^Iq}o9C+mIllSP?NchvjV7G->i^r%?5yw(Jf#S%iyamF9u9IDSq7D;dOdjhJ# zh~N~r@_r{DYP0OMvd>y96ODbKtT_u_GrcaPg^)p~2ZiTM7M^pm@SF-YSm)|3X?RXo zZn#brZ599PQUmWvDHCb#XK%x4HC`&>P5$jA!*8wsn1n>Dwl3IQJ?4WGx&7e$y=^!m zSU0^S+~XQFq&|*5MD5F3qDfZ4mbDONG&$85HK%&4@j;noQ{g_>_+;yMIdSugvZwx7 z0fgOGkW`VLsa2RN)E4jXbx5K=RGIj&bXg_LJqEueekbEE`?(V% zNtd3|3phJ^H)nRc^?x{ENCd z@!T0Dt3EhovNKk0{Sq?B?VdVLQ4~?2WNI$&{qP=n{&pmpbF3&wBh8k0u@&NddDJj( zJjV$9KDH`i7NNT^C5r+Gym zTZ}V`CsJ-Bu8|Jw({{<2D_exrqh%x6o@n47@wF;qZ$>3)ikdfSSBjAqw`aHlXG5=% z8-C>Yl;}}-T|9$J#cuvyE>ro1nnle0cJ zxh&5aYNjO_BEKE7N@-*M51Hozoy zQiSre(Nef%DAfSPg`Xi_MEpc#EqG4&R>G$tq!baRzVN4!c-9bJO89*1(2L>%(z5C` z<<8OYOyavacaFD|=LT+R4bNC##Wh;Fa~xKQ@2JEUmFP!QZQUaHn8!J`505$Y2~i(n zI;>}#TDoLAHNe?f?6`xbwUd$&Zb&SxtBv_MCFzX>FqeIj>kD1}b5y>|LEr^0X>rH7 zZpQFn9r|ZxCvm6kPlp-cc4U$zp2RX2TJ=WiP+n!JFRde(VV69DPg<9kYdhobwAONT zu+v=Ojos5)%fXt?*zK*g56bg~)>`s+#u{2{za-B~TWis|V9l+y90B8qd~5Bm3V4>a z*8ZBO`CL4>30RKIXE(_Koy_^0+T~HTsY4#8Z)%gr$(v-BW{%(VMR}BLlGQik-gGaI zI&U*bN;w!uvP3|D0i<0&S(v0Nop0v2?>@eNW|Jcc8>B-W)>M17d{6E8V zfA?#!HM3$9@8Cc+{fU<^Gxj|Tov~UmPNm-+S%~~!Aio$h&5HX}5y@ZEZx@Lda)qh# z;NF~`Nh8pgD|9=*xp`xdCc_>k^hNgZ^%HK_a)$->$JrN$u1FI{^d@y#;(q1IdNh*w zv?J0hwko!H_QoLKlkr*f1Sh`Pa@iSiE!g&EaQzuU?V+uBxn?eoWQ)XEtEi)BZK1&( zz)xRHGR$-T?P~2j?nCc+Db5q)fD(TKFB6~gH5ncMcL6fGryfT?!0hIOBOOIzEEL^+ zk}u|(G+GXp^>!3x-j?L2NN(UjTTvu=sx&T=b@`PWDy~Rw@?|?aw3eec#QxrL^o)3Q z+va$s)LLA71!T$V%;=iEB+!W-BwH_c^;7$(p28dG0S#tn;0>uh79vyJL;ZnCqght> z#wJKccdn%%oa9mY-s{J?I%f^&I!6tIi%e=7Wd)ZciWl# z2H6YCoh!}UkBby;Q&_Qj zU|DL)Ta!*?SUF?I!AE2)d+k)bLQba2t$E7kQq55zE(k<{n+6@Qu_nva3Dy;Wc}BQj zvex=$Iff6hFh060)LBY&PmHkT2VEPnK2z5iAR| zWW||8tX;G*4?@~2W8DOwMy^t8nSIxR!oPBV!!50D@^?X`Iy-rV_597?w+t%F^|}PS z-UA$lUEF`RTNkNWiYK-#L}PJ)UMW_wqbexbmtL5Fv$hb~~Sh!K25F3_7(K;OQL2-#H?9@BFd{E;#a9}%P&xI;-Z56l1 zT|}9ZH$}~NGEsvK3?sX>Wzu;f?`OA8njE{x_8m8OT7FgV2)lBz8A@0FJvCYnV1cX= zC$brl}mWv4I+Hz;UEf);8WvpaPx=)jb-PiO~vca3>zHv52 zb4sdDK9nbCOVwv8+}6*Y6QtsHA9zXnG=fk*QUo~IbXB?0*4>n&mD~nmm;GyA3{#U= zmHn_UIIiH8$o=bNgNWhc3sYmP>q!_*Cq+!` zAAp#iuyT{fMxc@zTE2)t9*|5sn*N4 ziGJkdLq>Zu#nyL-A-+7cS>Cd#4M8-~!N$4WR9Qfk`L*6WfLCl;w&L3_$^iD6`?3|^ zBuFmV_>mJiD@FLr%Ldg$vjf_LOBg7dA$FNl6?6X~lRH~6TQGu`yHZG&@O=h5@(m(+4Vip=pNItcK9T*DDJ?clK8A_4PFZVEm6>I~K!SqtD0zpYLbpFa z+sW*sWgqi zrFjI*&SBsb|C+@Bk}}5nhKOCq$}KW3A5(T*zHBdyO_jaz7$Va1X#Lew2S3n$RiMq>etYWz;+m1QGSG^|3RD`X@1B~=8g%kJ1)F|!eOhe5jO3mIa_xIIsQ86{ArZQoUyszE&ZE};1 z3qr^f<@P?#{3SB7NH1m|r;zUi#NLX?sfrpFJL~n`f^YW=YlV}IqMRZHx({YMqcz1w z%@mKKguaHrZq!TMD1NR!TZ1jlLL|$4-$-zT8yRx9^)$;EupYEwfrx05uHcSO09$fC z#HXkJ1zM2Z_ps0&`li#7Ms{=9{!G)cqr6cY>8&4tZ*n~$*SZ-j5mftOUm zOK{Sh<%5TKt;dmJgvZOiJIlTcR3b^^0afRWABPO^+I_;?u!7Mxw)f@xaIz`J0FO9L z#*#>aoFHp}e#5d{axZ?^t{U~~Ad8|e8Lr|0nN>iA)W?xAxa9?m7EJjYtoHI%Ih&Wz zv6JYSwNThws`M-g%ay5lPA!bl%5dLDE+MBIo8tr0R@m(im9c-jRlkTCN&GHmkUYP_ zX1YAj$9-CrwfPy!<9~jg)hiFDbQaA44+C14Qx@*ikR*d7!SLUf_6D|dyWe3}DfGxH z)pDCPO1sGV57tR*zq~d}-zLoI%9nX?|Dc^#`VE!#dzJQto#wRD-u}AedqmO_XT2ej zp+2W7{_;1HQ>8Dyi6DN{os7BE*S0No0v{x5#Qr0axc=-AR#@SGX_xpZC4~E?e6e$H%K6_L=kIC5-4 z4G!ulqrj3&Ui(w z0(lw#3$M5?dqUTT_CtM~WkIh;GK0eh`0gkzV>VU?YgfpJiIOWkJ@xj9$Q5va=j=m~ z-=*jFp~wMbhit|BzmpM@!;o@jN3KIsngHWDB&XO01dam3g5R#a&Ku`@l220%PMw_R zkyDr1iuJ_h>?I5_<>ENdvAY-oi>b^$?rb?noBFBWE9XsG-xvTVu!H>xh*!C$9%O)Z zR@p-wb>y=!ZtGmW`hbSYp5`L^TZqmR&bF7gV1z?S3-@< zCv{j*cnMps*@_kWgjN39!$8Rq!XVBD$c20dmUJ2W&q^`-Yp;e}0}#xA$5A{(Xh);+ zbyV<0fD<9OR*IVK9_dZ8-G*$(_;4fLUPS6+LUH*#;TAkzV|?F*f;HRBBiRbKfB^cO zY{emLlMsiO>t0Gk#u6d=Qz>CG_SYqAc39tOx4m8kf5Tp{ud<1eJ2P84_uumJQ0@pR zc)6w1k(gY_3p9|AIX`-3`^fX7DY@4%#GW$uVo1PeO```b|N2nq6?{eWBZopSQHhu% zAMv*c5)xY$(aIcs4V_zL{-Z&rby0Go{srm~@*%5O&T}#-lMJ&(+|4A+38A5DLfGoI zH@&g+d;P`2xt=PqD`qcs)+4rn?Hn${ck z*QL>o=TaAMOLx_blScN?|){zcs&JKHoE? z)|s4kp|Z{5I@`mcynH6Xu{CwPLL4j7Us`1C>qG~YZSl>5Md(ZNoH>-|w{{-iF?mL? zx}{7Ye|+*2!DXUak2@H=c*Ev}DfkMCEk9;-W*?9WtK)3|UA956$$*WIdynp>(% zO;%m*eofS?Zmzzt5w zR!l=)H2bVq#d&qVH4b1S(3S@?^n|Wu{fGEVm+un%9L=irM(Tl4ckvOZ(k7O2br_U8 zC!%UuuV~-_>CkAK|L5lChwjrsjtQABt6Qwu_kLG>?&>KDMN{Xx?xcB_^3kjJ2hPlW z^lB_hi`HHb-$^IQ6fuALzT+NLY&y9!|J|#dyJR%Q%&4_H$eFFUo)r1^RU|d%2{Nj? zf+}_$gyDA`QHX~RAnjG$E`kWt|0j0p$!boLkgZrg0_IPpOEjA=VyT8Hn{%RvuVM{q z?NM;ag&Fojx6DZU*?LOCEhYS2&6JSsSw#{ zh%8(2H3TaAir#F+Lxe$C`f}>DF0*Bg{M>P0L9<0L5ZAi^IE|mdXzzVPy5a8S0ou0k zNEs(v<-)qCp(kS_k+sfZ)6<@HGM}KSvvvqA0rq?WdpcmV8KrHe z+=mDN_#GbB(>cC9S|(%KA)r7aC2f1|F|?&VirWa|hv&i-6!9^d|n zh*Eq+iI7mweb1uzBSzYkS(B$spWVkYyN}25NEzkUJ?cy{A9YigQd>`T(k_oM+b^hX zhLJXJXp(+?u3J z?J4&|VzA_^#QR6+h)OP27CcEa zMJzI$Yf2V!+yfYD(fjy4!v90to4`j^osIuVW+sG?aD#$uB2l772QV7Y!~x8N8Mz}9 zjSGr(qeWBdQYo1MtboBuG?VL8>eAZ9YTxQx`_|T_7QuBAAPJxlKm}YNXsdU;F2RKa zROa`6&YejDV&C@v`~CSanLFp6{XFM6&w1A6AEAmNr$S6`gcUr`{L>xuj1^@ko(XM- zUx^xDd8p_ITK%udD8$)3S(5s@RlRw?s8SIm zwH-C8ILsVq!Y##3*^Ry}Wr!U0WUE@|2!5CTAogf76ex38IoN_3q7!~=aR8e%I}V%i z9lohb_c2I)?k3`r->4dH7G@L5SvVd>v1SUSnQu3D+cn0-`>= zQu-FtHPr@Z4!iZCT=O>&Zi>CptayH{|ESMy1^`r&pyTV1`B6D+|5y7>+8 zK*-_adK)rtKus9JjxND%wE0i~L3o&X0Qx*7i;hy=6Zw z4io2kgL&WUa$-t$HnfxKwd^MXOao;ktt>s}^6H%Ph4*cE90iUzOx)YuLV^4}d@ zdaw5dj=hZK`)!L2;3mV^9yGdxu@istgJkl&Sl&0&ct6u|*W1#iin8+1;A9KRk*HV% zA_rYdK1NWW{S4wQW2RC6k>tVicCcsKx!OyQ9A7XpD}zt~1XpmkNaR4n|4`7~8k`Gj zx?Q_F#vuzAnkCLwO$|*ob>9xDrYWn@myd!5R1q9@%uceoU{|Pj8<`UX`Zz78+(pF}luf6nmp&DPT3Kjh- z2DXV!jh>Ts_lIPmy(jc&c(>6O*`IEzt6x)3(9~|#)H}uLrgCU1;P}#SydN}fYE$-c zXz3>4H(y}XTQa2SO~Ib2`;cg$6{e4$U@I~Iy#)TOde+SJ3nh*olU9E+C8JA!DTQRZ zf608%S&aY@9}s0BIqalnMQ_!2QyHc)?pZH8-iTi8^p%Hysof5J2P5h3-0(ETS-@!Q z?!Jm*6}S?cb+@XeGj7-N6a^wnf0?P>{sd3S={d>iPUB)i&C3-0mL%CQL4(~;^?c$Z zC}Wtb%iIC?KFGPyHOb`6*wBMBjl0xdtZZ_g+33rimTVK)pWDXme#vg^eVo>%0+;Zh zaj!qCjUqi1c}>;|Gw+ggk+>?-EJbEIt#LD0tZ9I$TGPrpR?dkZhbXlX@b_0QGf570 z$*USJ);1;{UWE--AoIR_tzetp8=q)wDcr7n*ow~Fs_LQKqc9{%U1|7{*hZvS`YL5tM00KIcDQF}HUf45mRk)B+%@@M2^)wDVCg@PbR zrAXPcWLBo7X64l*&WfIz7JbWCOpD_!rYAXU6yra_+}t5^v+%_u%uVyn|L)u63Zvlj-?sy0LeD=I}^2*Be(*wd1vCQPgj+azP>190L#B+KSaM^o7Hl5nZK?8XPC^`g{AxWTSnmuGT)~%_km!A7*Vd% z9b0^EEC#?iPrsn%d9))`Q~~U@b2zx$*oyRAyS)rbR3_X-rqrIit4O9tfUz2$l@RSR zkpLrrcteE%qi|y+bh5xB;ztCOLh)SMYeo#q8XW_I5$kjJMh+efPw=*S%QC%@?@!9$ zNj$50$1D2DmPXHq^62%fef1g$B+WCqo;_PTKygPzcNRjd^gC*iUO@X_TXYEP`5BXe z{SN6(&^Q=qPI6PoKm9i7ETKS(pg^4aEBE<2p|JjhX27j8z&N5T7<1*3iMKuW+wd^q zueMEB-4#Qf$lOU8*07+l(a#(U|D4hYxdi|7bcNJov?fksR-w5Ljj5#+edm=X{g6v@ zaSRTr^qF$rwpYjm*cxZ40YY(mqqj^d-KwUlbiGWLNZrJQK#f$+7V~xd_(R<#o|O}o zuEg>$#_u4bt1|u>X#N@sSIDfqJ(W$q{pF4R_Ji$HG8YY`Z`~bSM}NWS_LmWzh*n@B z#wxSSYp;;5!_r^cY2GzE#kxu^g#zbT8x3NfX*fG8%Yr>+S}c#BWiyMzs4Q$WzrrCc zS`{(ZRx<1OjMd8<%g7Mc(k05Z`ZpOs6w}Jstge|xUgvp6aDQ=f*ptuM=h)wQtG!g! zF8a@R@GLhq+giMuiq4M}ok_PkWFb9YXpu8W^BLjSu$LU5J=@MP*>3*zd(`l3ReKH2 z_shLtD_=DHT1{ksZg|XUwp4~0BZGR99K*fIR>{Cw$F8mNe7)dr%9a*>$SV5j?@;;; zq7ll37m9W)YGz*Jb#pi5H5Q8*#^Rg=c!jO&dK*#$uk*47AQ8y;fWbXDmbbp5Y{`bQ zrL*jDh0aWyeQ6C53QFD7N!3zq5qB!hs$H#duZAhuyPYi)ZH<-p&0t&HI6Tc zo8uKl0=?qzi28RVhs7BM8)jf~*hG6g#?l>h+uwnCrN5I-pG>DA)H@}v4;gRd5sWfk ztV)I-2Jq48lM?p|YrTrIcAFUn?h+AxA2w#E8uLD1dszjB=hH@o#>!4f)paZ*md%qm zPb%{N!)-?pjI5p4cg$l#W1nyR?{JFsnQK0|SGgwTtmNjgyph_vk{M_#eMGvtyr%A5 zvRp^fRhn;?*M!SC(7c+Pf+%bL^{~<@+3peAFR{zdp!EXf`S&QP=a^JIHUD-!ChiBg zi`wIe$~fd&ejNKat^IHm80Y|OSj-JV*=7clEj@J})&lX?6*58OS_Qq~-@(d@I!NJj zYz=@CT@ayGqkd5XNxc_M%1-k2C@nVyDX-C3td7Re6p3C)#{3Huzf$VU;nz>3BbbFp zSBQd}Jn7L!>2>V9O7$x?tGFiG$jPBz^4LQAz%?W}c_R-$OtB2}ByNp#u7iFF0-)8Z z5$4ZHWYy5bl)EXjFiOdIxImgBZV<$h^}fmiXDmJ53dUeEWqiyV_mT2C345poN_`9;1*(Ya+uC*6f|#ouAN4e0Lz^E4|ZJsX;Q)vDN-0u z80Hcwwch+a?<}a#ZRQOm@NT$~?;I zrX?Z+K>Vw?AE|wm;%)C&9`K_pWKmh>@g}Y@DR#F?@Z{%nY7yoaKJc}45vU&&xrOjx zF7uLe$rgRcF83C`I_bkRT(l0^@9?+H%T&#HZ>IU;HD>S~TfIc_U(!14M*ak<7g3+6 zzh|32l#L~~U&K3%JJ-BNz!4NEm6WY92iTQVC?0gLuCJh%iqd37+0=_U>O!X)`P=8F zY9%IWwmGu5R$Xd!nNy@zyiAuThds)51%6ciqp1=u=zfaq0>dsQEG6 z+8Wd7SKx237bp244BX;D%rP}eoqC5$6D5~j*&g7HKbtg)ZhW4Z+0$}+0mpP#KWmN_S$vG zDqLMfv$B@%4RC{5McobCYXi}x13{){j4a^V=5RQt-wFmI@j_mP-(&JG2QESdHC}8d zLIZh`C2-PZ!%3=}YAHL@<2)5=kOpPKwEB-ot)Zw^|1M8TV!^aB#AbaH7`N zKux7@e0hvdW?r?Qu7L4L1uPt~@~D`_XP91ApLJ*TiLZ{A&;T6?vZN>Wi)XLa->ZcM z0OH^Z8Bzh6!tei!u?mn$fBQxjIz}5?N5g7xGVh3Ds3g@d4tbmBuN$t>i{&hOQ!md7 z9b+sP%A&#b0jEwl$IO||ln77ZP@R{U>jOf4Q-*t4{E%`_*yTDZk66xdb=&0*DRZk` zrh38=%fM&-j<%-T6@HLL|8edfzTeLur@;tvc zHe--t6gMxz{O2we70nyF;slXMiwQjUK=Eo)h_7p|%+brogKc;3_M&{}y zTmne=N&2{ECfjy`Afozq8WpA{yaOG63n_6@_*KCpHv)MqlZ+4Z>}y2&!=18Nu^P-c zb%S2vdSxW;=lQwo$Rp_ZGBSgBwfd!`5_($hKXrRE<9l3n&DD+gf1|(;cvV$?+|umU ztO@YUn(WYW!Pwl)Ntxc4ldLsNThqI$gtA`aV_o{fzpmSw|LF>>=3>J?EhDmSK%gNz zJi^zASBC5WgX`W=H9F~C{=q?NupF(9(*vktvy+?Q5QB*cc2_EU0JUmY-t=~ISzW0G(1Md%GhM=epzO! zqG`MN_j#Pmj?byha;Zdr*|9|d&G&^j{!f>;Ze6vnaUwzVvgolu#EAkLXs)?8gJ5sT z#+FyGT*KB?ZtCMy!D>j;TN=;J^fs33%lDhi>yknNvXbS(DpyfpPIY<4^qmZJZv0R5Yy|p zenZP|`xVSx;?`IF5L_hx?B;OvaY%EiQu`=Xk+s>|nB#Apoyo?4QCr=|k*WpCZLZW+ z@TJzI{EecIe*->8Yw<$H6iX=dLL4ci2kHRneL4XzrV_ zS()OEsKRt1;0qGdQ1&wBBoYcj0xyj zl4$7xI>E0(b2JY^8_wycgp&#^BH=e}pR0$?K{`x*NogDxB=Da6O$pT0V3%tbtc%14 z>JM<WVX#Ml0FwRocTVFV363hQ!}3^xo|zum zo2fhA(H%Q=H)-5YCc;C5p$>>#M8>|bx-DdLvm$>E|>*&b1I151cVXO_yoD2fuDnnLp z2FDF8`^ezSnC=9M=4XY6)|HotpQHEt+Cuz z`hj>)YO2%)EDho;p};pnFCg3o?~~34tPxQ7Smu5pt$@+MaO!ada{}4|$3#9U@i|%* zKr(#_&Y>$t0^Hkeus%aifwe<~`w}TdrTdIlz_}1Wpw5lv2$|-?z_(Y2O!zobvOp=v z+kO)8r&711Xby#T2IdBw0Rx@ruFz%OF~BP!lMPo|I_G6Fg62C6%n6(jG_>KL(ox&@#=xbLq9tJ_NC*3y@9W zSUWEo)Y8xX*!4xxYwHJ|Y*L9lyO?>c_R6FlNmr}a$BS-^47`vgXY_Gz`n8w40^{BW z(R#(IBB^h)h`ouM{%~GRle2Ju z;_q1()I#=bw{Yw#^MrwTr|yPGi3b|iA|#0%ED4Pa5ZpyyW%mFm9k(vX>un}J7JEsq zU;`cp?~i*=z~#49JT(K-jox6l`iEfoIZJ+L-8)tE1?{92BrP?pI+S}9H=+;B0EXFV zSo4bWloUOTg1dsSDg!S!B9IjUhoW;IqtmhP9izzH6lMD@1lPSu(YZGZIf(|)XgRl~ z-18y`QEMgchNH8`TWb+chdP72uj3WB`p~x2=@r@U4dutY&!e-o(1m{+3sDU4x41srwZYuHNXeW(0d6|a(GweNz%AxI7sW!`4`7Z{L6tP-g*m+ zgXS=%5$!l_WIYtYs*hf;NA`S;Zeb3t_0cn`bOt>;YO}qqSsB(3<=DgG{Ahkn2qar1 zu?jn8MRe{!X0ABN(jiy+ZoojJ%r}*^ssGtG&Q{vY#dn!`6&m5aK@l`aFw~Wq7l+awv(tG z7giZ-%%zAj6nv)(lS>M71rdrSRsPU2$M0wFE=U*nPg+ZUNlB`xO5n%9ivo0ewcuyxQEy3i&%*0$ix^~5A+co zk%6>kQ%Cx8P*w7_g}E;YfG18NOW8HW*t>CN{N_ncS?$>%xQCO&(DQ6nrtoBLEL%i& zJWt$h(wlj57%acsu00Dsw>?hnXQCKVc1=mhVO%pFFGOeQmys7bd+83TF z-jR;diFih6k#(3NQ_Z30S`d!$p+A+^ZT#l_OU60c%O3qb%oPAe_-?6$e#4<%ksKC!5U}gP z88>v0^51k=4w89Q@Sg^xjLIqV4;aPb{bV2312J!J7|_7 zi)GOe$J%&Gs~^WeSU9bI6c4_#Gr}~^3W|q$R{M12VcuW%6XhLvqq+aDQvJmve8xq2 z-sJ~GSRXza6`S%O!nKfoFs(wwvzSfLc7#HsYOKav>3y*LX|*2kp;5&WUL~qmc#ll{ zN<9JrSt$2T(wBbUXPlSgWe+ZMdp(IICy6_o1_+GS=Y$0-h}_s9yH05gnY+fSgXCy+ z<(*3iV^3m%<||u>Tvd|rBWKMN;T&iP;kGQa<)KDoZJ1_q;(XJNZ9bcgV$zjZ1|K&z%9rSbZ$i=EW9rm3Zj22OOb?_f0$w*%D3Rl_)C$VOfCJR ztQz{jEnI4_=E7cSt2cIIQ6|r(uK5orKEl4>xV?aFI8SejLtG~lrD|2n=Vpg5kR=kg zJHfeeZRG$VzeJsw3D6G`R93r_m4#8TvST%eM235Vzo}iF!Q0+VZWz~LmCKfJc%xjm zu9`lW=kl+DO4b`GH)Gz&~F#C>OZ?(i~LC*w3R!9o_GA=b7!`(Wl#q~fq)wYt(FDbt32CkN719W|I`gN=ydSd%y)M5 z=)@St5xYI3IGI#u+Cty*0~r}ZGHRztb`gx!(JEh)9MkDD{p{7)L@ZGS!k1MUML@f; zg|*nRS~x+DmWU@KJOg?BBIt2g;2X{P(#G6X8FaxaH}N&ljl z23sIL*!d_}Z4k=iibU)Zwk5e&3$m_&Cg%oC7Tzy^H#shubR2D7PZk*qVnB!VUCO0w z?*J{aj>WL{TDfdyjL5lYq>OYq2ND4*U8}$0OI*x3YNEIcT3bOqvdOus z+$hR0hw%V`)U)vmul)UWsbe9bP>IFl)22c)$kCXY7mDim_LZF$&awFr))*X+XUZ?g zpbSfEnvt~+K3F`^y#pStqsn;2N0W27PX%RjO3&w*>x4Ih{fo%97K@zZdOANR)%kL` z5Sa^SEN@0xFo}iP4#>x5*o||V&0IaXsm419PxX#fvN|>6+C{Z%RmR&q4?@XeknT93 zl)WOK;BIx6U{v=zI0-|g3rSMq=X4SG_FzZ1^*+g7LBrm*88&X=Ab+N)PGx!LKN_K$ zPeusu(-N~68P+HnmcbRByL^u<5L+8(6PIUNkF=hPvd+1xO=ZXiTAC+liRHCv_g*z4 zbuU7)6h2qsugLmLy*&S66hFDUtchG-kf}8;R4|j(h@d8mZ3S(c=3(!YNN*YDmIitR z)pm+4YHhK9N;JxiW^5}bPrF$;S@1Bp&&o!0W;=*grXDt(EU2vzFfjj%`4m5k4^yvQ zTPRiAKoDC2{j!d+8@)1>ehcXtq$gb)F2i_;0J?vQJ2`m1-?e<^(A(*s9yuo?JalzN z0X@AFsjZxe1I)j)3Vdk5An|HqGmmYXULa$^3os~tP}}rE`NggHSe1gRLexPPsf2g( zWxZ=(0!m~LF^l*_C{v<)qY~ox&1Q3;n7$Mu50Pnj=}z0?+GWNsmynhVLStbbBG ze*AgWDnA&UBAyKd0sW4abAJBZ5?z{V=ZK7EiQy= zNAM|3C|#kl(+PD@zFq%+l7KL*HjR*zmh0`^)6Z|!l5Ti5gg=^q5TbkDHuwpI65if^O`WT5p| z$(9y(jnfPN<$*5x8sA~3Qz0R4ziWL;8SuB($7`Rxr-!fk)&ebZNhJx@wI* zDr{NJ;}7ZMf4WSb^fIZgrogBKV?XEw=!Dn@?s@D$N!QB=4Yr@Zp*IZZc~cEZWkJxfik-c}YG zWS+>ha-2YzUS)(Xf*-zpNNV^IaKBc?eag`bBpAH6EW+|HWy?{%B}PWM{6ypjaj)wTg1s2e6$ z%A^_v`)^%xFL+5^a)qwpSm@)!UgGT)A&7I)0Io}ucy$7jWN^uK6=hRS33n@+82cX_ zoZ}c*_m~R{W0fiAd%!3svTZQj?=Y^4EzS%&z7Za&@v@9%htQw|oxu=hoigoiH!ngA z1EOkpoq4Zv9~54w0)khojJ4+E)JtJ+1&xITzSv?6gBHT&iODjRPYb)f#`c)*G~LuM zXJNMad(~1lpcSgrqvv9>6))twz`82vJ~PcdOWr1s74&p1I!-qR&y0;f6W(E!(PoyO zNWDPiF+j~_s-}%E3y;V=j~~{FvhXybN6$xOgd zGI+LxPH4&+f7+A@i*gCI948#angyJ3o6Vo8JGtidnkmxzK zOF+rlLxTx?eRFLwPZRu3#I;3vDi|HLJ(;<{;caTw-C|VK$wu?8swS_{sUHW&eJJ;Q z3>?jFE>-rOze32=`GVqf`BN=_X3L*BKKMrS%$q1J1o>j6^Iop!g@^mf!i}QA2bCUq zSo8(H@fqu_GV^v|n)x5~?f3RI)*ANhH|W#K^`L~2DLW1G=MvZz61iHi4^n!10tLbO z%{>K9?Rrr;8i`0qP=sheo!WnH-iFvVcKFKZIGR;bi&^!e!k!VZUjQ)A3AiT}=>U+7 zKKvw;w1V$de88;Xc0L`x#_$evA^F+k5A=@u82bL0c&zlV=r`yy%^2Xqphte|b!yB* zzxASb$gx?{ex5lEE#jaNhE>uK2LnPqZ>TGu7#`c?&4jJ4mCf1_I$JQ~?SP+EGG$`e zRd!)k$YkK`MQCyJpHSjHu|x=m%KSUfl_K*jG6&h*Wt{tn|jY(rs z0EPJ+-Q9s)8HatJq4(#8)d_-(<$np+&L2BB$9x5?FIE0Gls{x@KYLzqnB}fpx+BAG zw38H-_h#}UJeh}^N_!bvdE=Gd#$;p2Ewz5CY@D^SanguSRE`hhR~NQ=N6`F!J@ylL zTll-t3bG`g!9S~5pm4rc;PSEMI1aO|^UbB(sZuO>xDz)D7gLYIuTdJZdh`OJCC%)2 zq=(4$E-Nr=>}Ol&B^}{HDZsSO7@;_9fFbYBO6aY_@UY@De(V*Od}&H} zbVb?q#UW=!5$n!0nWHMFPE~j5R?&KqieXHcPv%pxP^FU}=oTNe>g|UFDL^7MoR<9QF{M zru##&f3ds&V`L^sU4;)PhvGcN4=9#pp&48ZkE-!%4S9Qabp>)UWOfnHY8Ik&Anq^;cyFPKqh4d}*)xq#lZLTby`Gtp% zC3kXX9~SxQoAA&!mxVozoqQF^xXK(J`ReQNQ3^=gT(73y8ng3&Lev|9LaI;2MM2ZU z=60pcAXx*SC|X2^RjC`|1%2TZeAG& zg6=q!lHzuHM|c~3IVJk?q(H$ElRP;xY3?25fIrpJv|JXuv3}4Qvb$ktO1Afe_ncxz z$eslCrEx(WEIV*P9n4y2C1VnG3H!KVezvH|gXN8YlPiwwX3>PGPT7dp&!Aq}Yt_kN z=iZ@c&U(s95ush4mu4F?(Pm0EW6$|zldlNZeU}tnD#)PFDn!GrGLuMP)*#Qu+Pqd@ z-u%L3vllr_mnfq)NlfIojTuha(eo9{5q~=Zzlv(sV-52eoY1F&2up{tqSq>(CM{D+ zTss-RlzGIzyhzYu{`m~LMC||`3eEZp4l9z5yLCvZhWQNQ(1J552oW?t=xz(fV)8!d zhDf?!`U7P+a$gqiGwN~(NE*!ez#6hIi&$25Ifa!?!JH3JqFB$lM;WDX%iKh)%|b0EIz# zx3!aP{3fgUE&P_|N6d%wqZbCF6)A^`k1e*30~v#_3FnD0ngblm9)26x6F|Sw#KSa+ zYd71n$m=1Z+W^jhgQTu5CZieHBH5Jnga%oD{omManBKi3!!;VDv;aoMbFkmgj=;s6 z3UlR)owr1=kHU|jNkNZ-CIvkTniTXXXj0Ilph-cGf+qF(0Y|f7N>s%JO9sT(<;qk| zI1!~9^wI*rxwjDFM}%#Z{=aWWc?SKCc8tx(BTCw4p2c)+O%)k!V&~*&6DP0z)7j}R*`4TZyUan<)8=4OdnY&g zfWnP-5u;J54Cg-sY6xG#eo^z!UMLYIkRlQulLe8@p(uT2A0+z|qZ^PJ=|y~sO%u|J ze#$N1E&=Y2=KmOB5KDX~Bg1l(<5VCAa4W=D4J^QvC&?6^NyT4e6-01oxQ?ew4T_*6 z)N^FDP=um_Zv0BRZ(X|@2}XwbkLT2x`;d+9W$Sv53r!P&!U^`l;gEyl7^dX2Gnf(( zFgaviK1U8L4vV9A+C>>L$AiLtcFnt}S?Xb>KoZJzDHgvrDQQlI&9MTyvAAyP$H>t# z!f2%CcTA>*X#RQ;ti@cnOM9{WKg&u)T`x#tH2+b)%qL%wy_f$do{5g}bfyqIN%IbN zPpj)85+!_H1mhd2-~1t&vCUc{<>6G4o_IxeA=n1e;>Myv{zP7A&tj_d!#W#{4<%uh$Y(u0M8t@m>(rya6J#2_dPGh1>SOiTGS00v z5_>d*Ln`qG*#&e8#oWo0s$(rL(dHe|ORkKX3O+yplNDW-u1{-#(@U;k(Me@j7M&Ct zUv_zB=wxlBmxEylDwadtEwP_w#)cNx1 z_a(t`!Pv1Cf#&y|RSpbdws^}%hNhK$FEd04!j%Y0Dl>ha_@W|ztU426xE$rR!@W%d ze2#VA9N!rue2&*sc@}ocVNo_J3>Da%1NSHB{xbYmCXpU4|5Oe3l*p&f(CEmg`JsHz zH(|y(=3_{68RwX{<$-aI*(eW;bIfx*1l_w*ORC2%%~K0GGd5+M_N;GsPfZj<{EM<= zK0g(9?Iy1N7Ub9_b39K%5Cl0;IchFHO~4(AHXEPM4SHI;IBoL|rby{GRdAo+w#Y1? zuqXJ%d|cUT0=?SGZ58!PvPOnSz{#ScARXvK?OErA4Xw%y&84L1N1(K1^H$3}P&BLL zmP7TcolLwk3P}8v#Up;f=s>iXRatvC`Q$uG=$RZ`==Hv*SB!7;_ zS(P=)Xr3@x(vO}n_b9&f2}kAd!sZEoq2|yhQZ6BX{vm&M%bz#p z&+GE1W5Q%q0YX?4!c?H$c?JIc}p7pQj#B8bTwBG!y)A=hT zznlEznZ&bJKaagk;jwmMt$sGYG2y_8LzNqkLA$I|s(?GJ4q2)n_!P4ORN_D@*f}*c z)mt{n89J+cy5E8lSUe|Cer5=}#k^hS-{}J*2_07zow7^uH&R)xHv)!l z7j^=;Cr3@XeA2G)C+Ub7N{@LaTpmV?|FfS^hY%Py;)?&KvzeQ@5>;@3f%rxac-o9z zjMdjR?RI6|4J$?c8w*cai!39HU9U{?J~%vfD2`*PR2H%RDl$mt0@2Vem=%);(SmLq z#IfOGt^OCXqmVcRjV}@MOfQ>sR$9z}&5Jqvk2G&@Ke0(&&rj=Oc=UnTr5KcKG*>+= z0IxL|QVWVBIJ645+psCwcO|L;qqkNzPAb;NDHW98+mn2}`PzR=oe;O89Az$~O5;n} zFgMCmtL2t@=csl!tM=hc4mTg75KEP!h`sV!wm)K*I%ztRwu%t%DOX|b2N1Er)BOIO z5X@;_pE!t?i>y*AED??*;_eZ0NGVOLkf?btQ5*qLvXb>_)5|qP;kXl%72rSA zQR2>0gOM9d2>yw}coz~PP9$gI^(5I^H-#YBw%`WZCezHOfXJ4d)684dnDQV|*N40) zCUdZ6nl%q86f(LmfLZwO%=`taoizz1oaEwK2nV>=8Tf%eFg){dN{VG@;(3@Bd|#&< z&J#;yb_{)vv0UVX&1O!KicfLKJKgXWqPK>HMX!%Sxxkv+0W$8?xpMrLm_q<3h_RAP z?fx~2VTD9)lQ~Tj?a%476g#iS9Q`OmO=0iQ6?*Kk3=T&LDguSPxPRtwNUsX0N3CpI$*h@sGLi|3SVs^12&ktlC5c^K~FW_3;8!CkK=m%cc ztSL>#E*M~*ikjmJW4GZ-fUTtJLQmI{GocK3o`nmP@+rGRS=I^W3brwDvsW++kDw`W z+T6F#*Mnmq+@LP$DNcsYG4F~3R8Tr6gZz$h?+6XTU+w54xDgd$k&lIuI`l}8!eE7C z%qUZ9JB&2H$77^W=Zbmp4KA=2QfS{EwjwrqgQ${KIh{AvofT^GVI7-UgO0S}Gu=xu~`7b+Vrkzqu z$^&*vxt+p2HveaK%E@+087cL4$}l^nf|Q@yDGoaY2+yByr|hNov^9^EWp>JLJ7qp8 zAv@(&J7qB`*V`%2s}!RSFemXUJMq8mM0Jz) z>6-@$$`~tF({QOOIx~lqh@IlIQwm7A#ZEcHPMJ;06Lw0Woic}%N9~lslA>Bud)MZ% z#-?yI?bJP+ZIy%%)yj$L#BRCB$d*qb5c;Rp%gr&h@j-Z^HdXi{JTrh~r}4T80s?!@ zEaUOlJjTK}UAK z8Ro_E95d$dOy%5(<<|rDFD_K_t3!UhVIH5V972mUWe z(seriaeNr!s4JX^&tp|N=7;Zrm0lFkz`&R-P<*T9U5EZO5B(`9r#ExVTjpIQTp1Wk+s3kV<<(sx9B1TP zr8?X`FE*9DqMEBvIw@YLc&8h6BU(spiCg${L|TBp^+@HS4HXZeS((2QV+~d&bdzpG zI#V6{zR*-x0-JWni3JrY&mb=H_a0P`DK(gz4yb2)EWJ6(`sG*!*+U&tsae=BeW-el zq=!928mlB@j?BaIgzRdw>$j?G0ZA{{k)XRbn{V4`azT-wui8JQ8nfAcma&`gfSA0$ zfn_pYv?uabga@uWWFM5z=#o&Vq7)iBO2(9L-l2*PHkZkF3&}uYsx{YIFuDd0(puYCd2t#FD!3N7Wk5-eo(cJwT>7GK)Qf?IWUzw_ZFlTIU z?d|E>?emqq_LV|p+g-j)nCX4c=_DbC-)Znn|4zea`geMz?BD$%^z<<)2t|ITAXKvC z+8~Oqstuy4v=od&zbhCuk#fk0;H3%;qwv2u>{-%ct5z^yHuu|btvmr%bGrx=$Flju z;}v_zY=j0}K_I|Y!op>@7t5j>JM5P)3xNotKt(~3d8t#w9DN^!n3vx6B%l?0=vs5!HXO5y~}(m&?FKOF5hr^&Lx zi-=37Hk%rCa1mEmv;KrjzY35!{0KorZ>6@*J?;M)(g@&otvLp{v5Jjsj5$X{7Nt7~ zHc5tEikcEBwXI=qS9(Z)$aSq<&9Eg>jfC11$SWQ5<>^u@6|JtI%Wj@jY|ZG@w|POa z<*CZQ)oauaPN%8_yGY46`t&Rc(X%je&CelXq~C-3_4^?zwfl{D|DHAeHN*5yea9~;TI^k!De8Cg ziKg{oR_J8;bCLWRBYzMKIzrPUA38&WBOhktnDYPzAh*-CNFqzCe?~nxwR%BMk;Fi) zUM$xliEOR@PII3C4=`jBO$d7Siey49WXK z0r%&~SA!N|j`@eTYfq~(ZUzD%I0KO%=I|mXe33azq=^*;h_n{-DK!23ZmTFjXH8`| zotA$0QyFTfGvI*W%zr@rQUh0leW65PB+n7kiFknp-gUirw5<04E8FgY8iO5QaXX}% z^i&D4egBEU#rPGLRcL1ETW|;lI55_HkMYKw$9Y$wdz$ep z(1E*UOOHO+gr`^K*f-O-ue<9p_@f)o5F8PjfFFDe3PdKsmvc+kecsAal zu<24!Wu}@xx{+E zKQ)Ois)LZZ6jqNKR|-$i%O$-5-{+))Bfc-T%SQ~3IGHWd>Nk~zzz&q^;-t0Nqu z(Ib+Is(4C$sBUQ&CzEm2N8GXE=Cq5C5D@Vcl~^Q;JYVh>ASSvtNA%Neo=Cnq?dNF* zhE)kKWTGekO0Ma(C&3HhYEX^9w?8i=53+xd}#VV763y* zdPqP2!7?w_mG&)JX)yW>2sIpZv?qs6`n~{a_^9NtrfUF4fOnfYf;F)=h@`Gi>I%Iq zwv92@Etq2qR}h_T!VTFGTk_iLuH91h&9@PP1b0vM_uFuM9Axv6;rON@{ooiYmbm%B zH#QtYXZ{O74p$!mkmsmG8<2%D-v`O?y`Nxzu-9r3Gje%CVPe|p3gH#OOejOPjv9oz zt=s(UpW82SbnPoDv0Pk|gq};^4-VsL!}zX7%M~XhtO-P1B0Q+>?8(}LaTQX5j&6XOm+}NvIoI)D<~6A^g%A>n)^v0c6ZqQWKvt_O~IcbSt`Wv&V}^5c8!b5aF7{|IkypORO)A zw{pgdr;`hag`z(o{;dWmzgE`Mn7M}@3lNt}k6n%0<(Ag$5^I>~=b=@RY{6Kw#C9^3 zY^Q?T-p3){VmBR_=i^YE<1+@RvpmddQsOA_N{4r#jZ8~<=!=8#Mn~PW)5EUh45xKm zfNg;D4sYEO2#zoUthmTfMDgHew?abSI@JV-Q~#8E{eHIa%RdrD4xceZIqur)Z`i8U zSHn#*&K3s(=knxDZiwBS#P?XkyG(=6_<^(ZW5U5?hEFmsS89hoG)GxOa9)h3(1NS_!@8b7Y$pZmpUu7``1M$CSHYF^}Y z4kVFF0@8Io<`lMDMwPKU=-weJBC))m8=2m6=b-QqZ*sk!#E?8e*pzKc6V`Aqj$++$ z^x6Y+n~mTdPH%bem(E&;HyH;EwEBNA`+g(%gflkdpx?OiPMKWo#b#gB))k9BUNnas zq2r!MKLUN3LjJmU_}riSqR*%|+`!MbwC5!~mDgu{DQyZLZqv38jg8wneMGL=_MUH0 zd%D(0GHc<8*o<$;L1^1Mo!d;`pdIO#{@9$fg8n=HhJR>{nRGy$IoOK> z-(%yaD55guuhZ}OaM6HDfnJm7&RtSeME6UT zqKsd-2q0>_3PDG1>kJNx(`Rqw8^?m-6ql|VzB}xmTCSkN>1-U78pN$p_g)NQ@K2~7 z(V49BY+g8AS1cicAT%Jw2u^#VIq1OGP1~Yr#(hc^FKFy#kxB3Mw~IO_cZ9;gpp8(; z3kL^SPIpU{qm@z%-}7O1F3W*e2(7-EDGw5=)Od%Df2}yHn#U_2hWC;MlRBq1wt|Vv zu8J*mN*h5($Ml$U9AHIHn?Ed+@!+~f{PlRyADO-tIPoUeM14PV`aHWA0CwHJs9l>q z_dx`|(uPs5W;GC5L(q+u+OvGd>vUm4&{$Wq!fOno5pF6&@9-vDj7n!!>gt*!``V5R|vsqRih8M1Ob>IxtSlZs`q6%UU0`dWh_4b#IC}^Y=$!C_r|kIjZ4tH zmQ7Q|H8zJDmvsYx4awNdd`)lW=&a@{N8k)+k+6@%5^Ee4gD;-zb&|STAWQs<>f>6_ zC2QCp8r+T6H+6EWTf>)^YMh+Fu4e!h3#kmwbpK4c9N{>A!kD_vI+ZqWIi{ccCvKwy zluLcOOTK2a6npG(ZISjYKZLZCP%9yy{5ezp6nkO8TtN#zrUl)&e>Srt>JY>0Yy}19 z5ZKf$Tp`FZT{^+#$#sT2z}Z*1`8|r?Qs~{=>_VH#&qY4b#5W_D0-raC>R4L+;x_L~ zV{!4p?1)6*N~ULAkC}~DgZTWrQu0pmB8K_m6nmlClC3hkE##d-)Mu}9G7A(=67?L~ zZ4Zotsuq{5X;)$e8T#lXm8M&i3GNVY5g5|P{o|T_v7&6hqth3?7Ww>(tcq#U`e)ks z_UO|4V#_m8bc}Q!?A|dtt~Y;LIIcOm^Z{UFlF>%e*6ugGj_uJ|E4<6Up2XRt-5#YI zrSZ0gG7x?S4hfnnr6jRQ<3XdF#lEeai9f^*Ua-Yndk6|#0s)t4d>qJ^StHNe%b1C zeCBs_p{`oH=p}D#Hnwl)Cw-ocp^L@6UWt7M#q=cDVt~)Mq~Sixf$wWvC1e|y#O|XP zTfO79%W>fwx7}-O^lp3CJ7{ZVly{tGQjg1+wZd9uZz@zUxKQUuu8rN7;dN}r79q@W z6kgG$dd#e5L>^VsX=@q!qA$vb_?p8Q6I+<@-YI+a|Nki)j=s^qIc1kJW!rkEtOa!3 zJ7uhwOxgM)P8pXLrfiRQ&=#ibex?jOx$QrgGT8}`!?VkVGOu<|tCvudfQ-P)!jr!f;=DlI4mjm9ebxou*txjI zTobCqMXfJZp*oAf}@uNT3$L6 zNYP_4*=}ys6(Io+Hh=0O0_%%X3?{o-PyoZ?{juQ5il$B5I-~VtB(t@od$&G1u3#wA z>C|5IxnwW(4bGBXoJ9Wv_XJ7wOiSu)Osz+=EH+Hhk`|uK(Lp09Zarz75W>hp>dCNz<5-OcJDE8 z@ahnpAe7(Zx{T3>10rKS?_fqL2i*EVQ0S4Qnbp=11x&3?}-VR8Jc)&EJ*io!6p zwPOsmG`?tkgRDhry8Vt15@&E=_YLTbcw&jP==ngq^Di>!2PHf1tOL!RS;P?aMPsr~ z;&QKIl_2QU;^Luy(O^uO1RBk+#=vA4g$6JjwrldSWB72HFojN_KJ%=lGDm9i8s4&} z4B*u29nz`{_yCov0dMi9^jH zoK<-P+VqZkEa4%5IU)~aHBYK~D#nefWK(kfog=GyZn{HbV`nfbzNjqA7 zy&8T;sx8&Yer*|d+1+-usoLA4_U}}+asl)iC~<}V1`&*1vQ#LdHMx(>QEhR-1e0qG z9|Ep^W37NiYA<{zOvrG}4@URF#LPj!#2ZU`VPf2^y)fZzY7-|-FEc^VP8b}yCVq4< z=|-_!;Q>JmTEizCktsw{z*~h#y7x4H=!iM*am3x|fczcAA!x#=uPfUqJnPVWwXGf` zT|wD>@&LW||6yBQMA7uN8ueY0XJByln&x_5T(0ro1=_^nKK=pF2q|0nou|3HP` zvaEj-zg<4+Q2chg%y$~U<#8&=fslBPJ*lScDYZEf$cUa$KWr3)7&;Uck8(F%dwsr`v7JN~tMmatGj&AE$sg}SxVtM5EbZd8t9;4JBX$AUn3UT>^4$KqnK|a7S+}vh-J#KQFkAuu@WX+BprRoMq_#lnOhmn_ zPB(T*JK_Oc9f7{seX!H&*lEF-Q$IJ#Z_atO%{-gJyQPT{s)@n9O=K=zVL9!K(*1H? zvvpROLoJz@ONu6WSC&Ym+3T6|)@)SduFeD}hHgr?SFdP{Lz=XcdRu)Zyi;2Bq|xB; z!_Z)+qB^Y65p~XISVuuMx%}?!)Bd&Y)e<8u{%^){UZ!EGa_?S9Xe@SFek#J!b}iNhII+~?lrU7bTa3SPY3og6w% z8{&JiV$LC1ao?%&>9M?Qm~GU*DA#-TrqCd7Q#TT1qq#9}1Uzb=qaA<1;b!4uxYqAK~^wW6jb~KR&ciY7=i}u+UAQp7T(M= zPaeg5P^%FWwvgD^eMu~Nt@xRuPMN~xYlVfBW;EfJ#b)dSU(A@W_sy4Tl@1w%5%S5j zj*N2Ki=^WK>^)^scd3YThnXY8sI|j57Pa>4Cq;CCF&Cf$ht z5zzB&#M6>tooEf^nL9(2KY{YrORJ=sl)R#!vP_ye&$klc{IQT@pa<44>&|5OtmSAK7Gx|s&8r0QPZ6wmXH!e_huKBv-&#$iPF{KZOjeC z0-1??#$g-3Cvtg|exJa=2<8 z6Spy|Gl#AS&h6OO%pv-7N*SKgkMV+>pEJ?+AE@wu|1zu#sQj zVXBhwwa>u@fyXJ~YX|;=B^3GNe|JS@4lNK5mNY5GyCq(=0@8GlrfEikLh9o}3jUw=WOmwaY8X+D$E=K`=g?UK_4cbnj#8RMFc4sf9 zXyPK|yuc?CH_^?yR{55tHwfU9!_KkO;TSRjdN~|=`Xv4j03no@Qu50*oEv*pC~5?w zZ<>?2tcbJE$Fjr2@UAK-Mm(*mL5sBYHhGD9!ee-P=DmXAU8(>Uk|O*c0r*Ac7Kj!Z z6`~Xtb#z7M4m~I}WXV&vyzTQRic`;xrsL1b#wJIeA1ai~K6`l^mwa;zQc|IbA(E37 z+RC(gUEf~mRXAGykq)H^k2q_upa6Kp^+g4wzz=84(+v$kS>}83&I7iGCIGU1_yD-KEpV*1Fl1QMJEbaCL zi2>p^A*!j6hP5XS>PSV(qQ9^;@`eyRYe>Hyo61R_J?>?t z>2W4Q#W<&@a9_N^?=JsN!04`70SaC?I^fvFp;L!?o`>wIfyp z+{nT|UC36YJ$rIOmNkszfal{>bLnJE|8$&=xrr^vQNlUOnk{h$Js;N&LnrJNj1V4I zizY^TvYre?iyX&YHE38W$TA7F!`S_-Z`5AjbXF?SBA>I_g2p$Ad3=jUWdT=-&m#~l zMuq~_5>h|`uW^^!UUJwr!qDQ7mHn62PU$CKPU{&XZ6{PDNG2$Lsn>^x%WmY)*6<`- z^D3ppOGJ*)38G0n23bfLPhsVUz1|ug=W85d-g8s$4&HqO;RO1QQjpv=YpUGa1dT*E z@7x4P(#F=aspz1#(wR$`F%B(I)E&wziDgYa^nI1lp3b7xUn6T3`4C%gwRd*W;{fDw z059^QB$!1`gyaonDjTgG?QOhdbTU?1ZJ+C^GhWCVbI*;vWcoxptX{7=fj$XVPD|uD z?>RVJQ(?L(B<5pV;`RVfsRmwKoJHcjqJW-{>D@1J4zD8Z&za)(Kz2CBiXSq{96TqF zt670(>AF1wkQ+I)l|!9dKjhd67xG%qWM9^=5AT-A6(qnq#y?>lBLt`wxoJA_&*?;) zDCs>rMqDO=S7MWmw+_Omeis0KGvIzx+`h8F&Dv#e1rTg}uHB4MWzXP6wMP9NSDp;F z(b1ahtkG(BW?FOPE6ciEz8uy?^5wK<%9qRX$yc^4OYP19)|v8^W1S{n1Fd5D%C(M{ zuR+!*`O347malv(Pre3QF8LxPY23RS0STceLkM&w{G?WY8i-tbp`!}0!)yL6pIJjz zBiBMzSK@Vgnk%$>pdy;xh+vzwJ2%UlyY6^Eb$nBD57q9^l)5t$&!~E9_h-q^ti+?K zpAPxyNcOyyZ^1(}L9H7gz|%FOsPpQrh(<`d`B#%B|s*ZI87 z=RH0j^4ZI$hfk7EHhP0s@wt)Dt$dpJ{EE+`e4gU-BA@kqUgxui&&PcB^KqS&nK6XV z7(Tz|^Lsvz@p*#JN_u&e8zk%?CKc4 z&)AHl1Lct;nAi<`o{?`2&Q;EUYK55N{BVF?bx{gO#DtVytDh<_`t0eZW^n3>shy6g zUHc*;igHie)5X=t%;d78yZ4BhT{W|*)w?K~GPN54{ccvH;VhKAGMqou-cGCE0iyCD z;>Uncx-9Evo7vHM^XliMq~Nos$Y!(eAr4^Ui#3XTqui!kd&_g72=2PCSB;4YA>=fr zaNI`M{SBR=3l0B#NxhL&PnUN0RsX6^RO6@)4#qrD^C>hRQuW#nwcQj$vuxtW2DenA7&Xa+&w=s&t=~%f3S~joroTekPE$ zycSBbDn~3HC&R77;*m|t9x&JgvFi%bv{j$a&0b!`e0*8Ku27DGkOhivD zi6LP&-LHT|B}sf(b6F+P+Y^N8RSHLJ_7vujHlQSw$>0FC} z#eAF?fh387YP=^jjN(^({x^<=mGMXy_Zi##yO*QUXEv|gAkWg3zxX+ksqgNiHFXjF z3@t2T%HMu8z;w9+MVe{#_h1_gbAyco8t8<_Y~l$|^d9)h)?l%l^YP}USB zQVHc$g^>dH0$inRGDkD)bnR80Y3GUEE^XufLS;X&@M8g#R|4xA;X9RRmQ0%CQ zf)qh1Bg`lo3yO)DiIF6lnAnI>gE1;eOhjV=D|WEAD3<6biDHRjjC$AFd+lMEH~HT8 z-tT$-_y62`j}E`{+iUlB_TFoseX#tXFU7KZM;*>jpkrqiSG`Yw=MeF;cNQmni3i_8 zhQO*E{{R`B*k2zHo}S$dA_kwOnB4|`owO$S2*T{1aCU!Rz`O8!2*2m>L-U$ot~B4- zz)I!R&v-0YuSho|oJT$TI?K?*l%a5JWqA+tt5|jr2%JZ4Bj)QMy@X>??9aZ))yCm z!rPdWfU&H%{CdnCnDY>h*;2kXl$CVyzuU|M*aI|MO3%o6!8>bdBw>%bcQo4_ii6 z^!Z+Tehz`n*}`?RKcGz10TmdtutHqF=k#RLo&wxPf}C{|;dHk!K( z$C5T&$3>*`huJ+WmAI!vG;nH;E3t1pyF*N1)@CSW@6F&?$Z~G6+H!93afo9MzT_CA zz=c*=bi^HLaA*h|QW*9Go}BQuz>vj`uyW&A)bCkvAsmI_Y%a$FyI5X}7CLd|3^vuk z`*$0_H{ReVrpIA!j$891!(xhH4I1=8uZ>=Z`uT&(YhX7k=l2$aAMh4RRB(XPIp`hJ zN5kMEY_aE&$KdsizBn@F2btiJ9Pqv0Vu(jKJg+l~Jqd%Mr^sL{lz0c)WO&z#ZU4vT zHt7H1#8>m5usBfO0mFvzAqL;|2u1+i`@kzpmM*K$HLI95yY0QFlW87GdgP)6cmG}M)!ahM)kAIOt^%A}xHQNb9puTbG{) z1dn2;tuTav*G;j&I${R+1uqVA0EDwY-5r)=&j=sphC$IzNERI2meB!wXQvt93bRBU z8KhxneZZ?3P&?mdvKOzW*LdSO6s_a)lCO^|bc^^|aM(IDx~!;+_;`f&Zh8z&R0pe> zSU24pfe&!LIJh-kgf3w68_&<-KC7~ZaRNwR{fd5a{~y8LNU>7vKH@X56bpw;XxaDi zY+}BLtg4~uoMKO0rysy4_{K84U-QQEGZ4e571p;SdCiW%>0%T_9!B$4jT>(HnzvTD zv%&**d$ufuz2~r6xv}i8ioXo)p(8Q4G6jrh9Tmc^eL`m#hMPRj*Q!{1zm&b z2o9T+W^-+{45h^+=1V{YsrrVNISq6^;N>6%K#-%bfW<~t7G5uMHh%zO(;!FlHmK|H zwl}m2SVn_qs~Ltcc#54G=R3Vzjb4D=dJV$25f0{pBWFZ0?(laP*e2J0$DRyEH^_Apvc|)F+AHvtS$ay)v0!61vbAdN%qRcPv9)) zd$6}rbhKm(3RXG#^kb!}M0{`d&0O4o3q3UZl59W;X!hVky|Bm0+%0roWmlLJq}3N2 zkSpfmuJ>5zkME^}{~*VYx23nlE_5&~;=#d_IGV&O6SrX(?uU?^6w5%#v!g2*a@9yX zc-^@S6`An0mX`aNJzM~EhaJ!c#bafp(}ktrfJYen#dzghm~m$X-UUSroFIzp>hVgS zi|{LhDgK#m7=M_|zijdl+<~b%UOB?|2X^1dcN3s;!Mof|$rI(BC-KVBzsD;(9aO&8 ziJ4yU#PA*~-}0US5d}&2yMTPg1wMKA`V^lS#k!VGd%<2tV*Fc7eDuN%#s}cnz zG?jV%mS-YE)qU{N^TfyCJya)1Q~EhrYWmZ+9HdZd{4!*eJd+H;&f6>YJFradQ7Hads(uco;3DoUd zFg67{o-fhP%eTC<(A|qp-CZF)$_4O}GD_WlXFgnM@(1FL^e1))Z=5}XVHF>|bj7mAeN5LM6Tf6P<%k-a2}qC>?4y82pGXpNuIw_)^tm z5!!vJ@*N6z;O3)^O%mwF_YH&!8CJ$j`!Q={fRyeiK5+BKj^p5gdlE(r9IpdBaP!Ef zsyaMz1=Zn$<&oz=w8Kfy>_+Z8_`*`oIpEeagPFhOl!;g#S#t2@_@iL%okb{VI;iuXpsRRr1(Rf$T3Cg|I_!BjBzPi#qMx2O z$}KRa##a~>+MSwA)VFLe+9APBytd^&(5L^5i%#%0Rs8NK4&uuj#Aj7%7=tHqxof;O zU?1)wQ3k^!zsOsPf+)2Ql+*xC0woQAG7t@SV6gCMp>ov@3EDxq^9~8BIJ{$aREwu2 z7Zu&N_r@>JYFnOhg^@#%w&i{>Vz=JtfRlMQGQkyS<6*Bp`&;5#YTD-wn`l!yiBD<=6XfY_LOD(*TQ4fy&0;!=!uyXs!@_Jg9>*cky?8Fh+hO+~U z!?cfmEJ3>y^MHA4@PVOrW5{*PSO~@l-`cS!rSKTtDm4w z*nSeYT^dTR!Pi}n0kcm7|D&csdg=Xei>caLs8x6 z%ZoY~in^?jg{iz8m#OVM*WH9ev+x6^Ffs8N3M+k}<_}VsSHUfungdJa zHE{=orrZ<1pNfSC??yM?3xxnPgdoMDchtC90=GuM7?4j-*yxhaw@pr)Tfiv41oi(m z3u;|)_E`%@QqFJ;bY>rgWPDt$KH)qA25RsL_0tAt9Khj+;8o@k@D91y|1cOv+GuR+ zH#TX_@T|ZAw;-Ap-K{YW{Tqw^jU@l3hvDi2jIm*yuKdXr)*0;JuyzL>Ag(twvR!X5 z9mVf*IBK&B)qJU;5%^d?6qKySz2o+eyEg!00|VD_Y&=_i$Xk8hsewbl*-0C4w9^rz zw|UMGORA2Ai&R0yVe^wnNFU5kFyiNR^Il?#r=Nfs1umOlmRnm2=~5V+jVo;sF;^Hx z!6z|-TltjF&I;@e1uYqC!7%spQs{x0alE;dDRg0FG8jft>}wEWZ4#VW7AIjEZXOOB zPq=awHxHTf1vRlRJHU6lJmB3vZNA+i##toFp-KOQ69s4ou;C$F1$~wnf57M5b&IEg z;&-lHKhW?hls^r412=98)4ujau!M8kP=kFeo?GUek*UAM)!3mz8g9o}vu+T6UPR1SSrNxtMZ#Bh* z1LcBjumaKQl{MSTKCP{8aY)l(|Kz5IX2Jdmc7_Jp_iOc5q&fH2*(u+f4K_iUX&>zG zW4ys;$M?d~@v}L-nd5dA$7<%dq4s^ZRuOkjxpO*nkq{)9RF1n7Ad$LWM_XTo^co>~C)MJm5)v&I%> ztK-p_*T8`$pr^^hJcY#twzj}^Jh@=RbvzL3^QhQijTyQpRP5w{6niSO3s>w!l43_= z)ivmGNrxSfQ*B9y>38bG(hAIw^ZLSjH*lucO*+=2%_#Tp_MjylVZ%^rz|4 zyt~aD6b|M#5T9W9QYL&juIQeFHtU8e1O|awM-|GQWzHeWAQ%uHh1dXd(ZVZHEH*$~ zL4pE1xOZdb%ANN;fG9w~hn{Wt(6h1i(9>9F-ccMWmAim-XBZamysyyCyM@CmZC1I) z&_p}0yl^gz#N4!5FEz$GAonVF12>Z7z-%|bt*XyUf?Muuc|F*5KfEdlFPA`r!92U6 zf%T!%c`huSr^qUEGpCf|GC2AWrao6nM$f27L*Sb z6t1jV*7kUrRWkxR4XPPf)lIx*^%Kv{fvwHh<*);i;Zu5VvTij4t(oZ_j8pI%9{7?M zYVQ2Zlc6sUg)jM6GR z?YOZE7{fFGj9-^~f-#g8+ICG>WZimYdX;ro1%@gZ0D_@gdQDx{DRtJZhq#cs69?Qo zGMm8!FAkr}@Pvg!g%05|-Mfbk4Pa#Cu5*2k2g#hr>JC~EI1d&rLeJpG7k*((!Ztb2 zV#j>(BgU)c2#zTr6JQik3F<=y)N*CpZLQc-z~nUgAb8dlw(5d@_Ob3T3~?YG(6c-W zgWk!{6b@={*wLUhT{7brAYkRdm;eipbFPxUmOhzQRL13ZG)A2VuiDb7!z=ZVc~B!AJ==A%;SLAyH^S z19#B>cP#`z;YbJg3vUF1Pr+~ppV5H^ph0c6&Rh#z!?UF()by4$*m4DEW6Iru))f?= zB4xPSZrEY|iUNNk9>A>8j>qo5TKe+V=IWUBj|YCV9E#v#xAf(YzLpsy{Xo@mav@mn{rzAIpoHUM&O#44RjS~-5<|tOHj6j z!}*jxkKow@D}!3t(QN1hS~NRjN-z|PhOKwkhKdtnf@Ml5Fh8hSKFu*EkSJ^_<-TyI zfegn_&@(Ik{4EH$hpq~(w;=1-;B=-B*dvpbb_Sj`lVNTJLsq5FA*ByLCon;j0G~8M zUc;IBWrYwOxM9;qI8Y7k;PVsh_~Gj;ei&az)4t~=?sGHYHNBRFEsw%X)3H@%V9ap{ z*w8%>`Y5pDhhF%VH$CJu2+d87t+LAYf<21}eRIUOeX>A*gfihqn2B7rOlm2@P%ZdW zn)tJ#zJ~f1OE3$rHuF7B>mO`VEYhRH%8~(@<_A$@<;CYKmueBEKe0?=^SAcQD{#_ zu>OcfFvx&f$!)>H6&k@Hq|lL!KIBF)N-0#3Q4Tj!=}aTx=L#?D)r2!apO2QNwn0LXb6phftx;t~MWIk-QZCX(l*2ZQaFt1`&MLbFbKFH* zDDV*QgE@qQGp$^XRGIokk+ptN=!4EwAI`FjFt3CWE2yLwgGVRf%^bToo()ylLc>+h zvEt z*rmYtVqG!+Alty!bto#}kgt$!!1r>l#*PvB8c;D~&eSw%BjEH@$VzPl`-C?RDd4H8 z!BsIGGzYcl=CMD3Ef$7`_{S;h1$@-kTp;5r2KGR#Ih*qs#}15f(Ucj6#c2D$QVAUA z1lzG;!Aw&Zc6vm@oWIa3)S(bxjc;m-a0?4Ko#tZFDIAW51(c@M(!vV@S%p3!0mssA zvafJdd5P_lp9_xD`Ne_XZpMvhr_9|Tba?i*z%#GeD=6mqkj$OJD)6 zO1Tb6Wb=lC@UgI{*9$hC>ma6Z2;e;bh!CibwRgDMqd@0ntic{s@L0eug6oUn3GfxP zXtttYhi^)`?DT>NnDN~*e2oHphh?FA4}pRk8-2Ou+i9?)V+>^bV|f1u)aCGc8VqG% zlSkO%AV+i5-q&wTA&#x$pIv0ZhcqhGKED|3P#FAf5RA9*wGtQ!;neAbIRUn~^EEjb z?AVke`>0A)_R*b{{wM162z;8ma_#s?s-S)PT|@-xBrmzBjj=2?(qywQDL zKumganGruMh&#sMS&H>x!hZ8#r=Xk`MXJqD*iD9y`C2#3ENma9BG_uz7gp(&xNRcq zW(7>Pw6LEA1_0VKpiMN`<0g1`0vll}x=#hh!VGfhcjYd4k9ObwtiWxs5&_C~oN+6E z+7}L+62Qk$@Xl0RbOV-`VXHYDwFkoveKAZ1E#7On{~*?vf;tm+-IEEN7)g`v9u{*X+@TnJMrt?^iU&X6gvtc=Ag|zP z2q>lsZP8752r7eJ@%$A?4P=y7nF6|2NFC-7L=IBJlXMiB0yN=}$P1+{ON`CYPe>4? zi`i6=b#4I`Ca)`Zoep&<3HGlO2J_d@DjgD>UTV=_y(#;b#svmea__Y;!mzbtEua5i z%3+H-wu8yfi*WP`uhskn4aUXzHg6DyVK5gMtm8uCtI-P zCH$FQ$m_d{aXYK;S!TsFW%yz@dze#&wk!&Lcfa8jv@qOD4vQeHzZ(fp05u$Oiw;et zCWX09Q`~*V9}yZD8lj}?k$L_w1TIuAEix6sqeC+so%x_}Q8?@=3HQsK4U0HQ;(@v- z9AqIr^ZZ#$0Z&4FvNF6Jjf0qJhFb0PNdx>Q2Uy8aH%Ed)CL}F@7+aaYJC0o*_yXU% z1_?Z+BNgVAXt*fS$GosJMDcKl8gfiBg{UF2K5%>=#Y)Fx1<$>3ojH;Dvp5qhf>(O* z3d9N>^vmYK+_wY>Mh6G-`NLk}SQtXGO-bXKIA znA4!Mg16BNF{Y4%=824lYk>Gza!W+ctT<{F8;fa2aFdncC(TiqTf*%d9qZ<>@P!r3 zIi1Ow)s=hAp1po!En=A_ge|nt4_0$0B#P=1R&nf1ibdhAx)#oRfz=0I9bOco=EaP| z7He-Jg*QbS>j2m(0X$lH)dkqdxL`>&0VYNGWrV}Tc_>ir?wi7+z=7Y}_r_a{d2@ogsR4x@6Fu)MLdRf)>5XcpnX}>S0ax~Ry!kLl zEL90h1|tp0(ePMjKZRnkx-8*At2Qa-y}(v&fO&WmM9`qY8O%5@WpSbYfi-d!v%e_( zpPld#rM3UndJXas{QiH}|G_!X+Zl${aCIPTN_fbDn_nh;N~mz;=B)_(5so69O!yvQ zF5ypv#|iHc{za(5m!05hLD+*Zm~aGPEa5D|rG(!So+T_Jd_edYVGVp`9j>~BtqJ`J zb%bLHQwZk}zE7A-xP|Zl;dw$c;Zs7XCJ)z*upyxjVHd&(!ij_i!UcpM6K){fMR=0% zGT{Tl*Muqs55FN{Yr-ysI>PaU8H67beoMHE@FZaw;Zs6Ksy`}1mf7%UCDosA33CXA zyjw$wJ&y&JjIv|A!UlzXvj?{?xIi_TUnI;N%gg7w!Zu&EoRBu3Wxt z$lr$}?7MrXi(7^+Bh#ZN#r1Ykd#9`WB&O(%h6(YBNpUIB$#Jr}PgCtHzzjPSl#3aPUOi>#W;?%

    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\mkiri\\anaconda3\\envs\\python99\\lib\\site-packages\\IPython\\core\\pylabtools.py:152: UserWarning: constrained_layout not applied because axes sizes collapsed to zero. Try making figure larger or axes decorations smaller.\n", - " fig.canvas.print_figure(bytes_io, **kw)\n" - ] - }, - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "print('Add a CV pipe')\n", "# Plot network components.\n", - "d.plot()\n", - "\n", + "d.plot()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cb96fb13", + "metadata": {}, + "outputs": [], + "source": [ "# Get from and to nodes for add cv pipe.\n", "fromNode = d.getNodeNameID(2)\n", "toNode = d.getNodeNameID(6)\n", - "node_index = d.addLinkPipeCV('CVPipe', fromNode, toNode)\n", - "\n", + "node_index = d.addLinkPipeCV('CVPipe', fromNode, toNode)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ef34405c", + "metadata": {}, + "outputs": [], + "source": [ "# Plot new network with changes.\n", "d.plot(linksID=True)" ] }, { "cell_type": "code", - "execution_count": 3, - "id": "d9ba1158", + "execution_count": null, + "id": "6795ee17", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Close toolkit for the input file \"Net1\". EPANET Toolkit is unloaded.\n", - "\n" - ] - } - ], + "outputs": [], + "source": [ + "d.plot_show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4aba4131", + "metadata": {}, + "outputs": [], "source": [ "# Unload library.\n", "d.unload()" @@ -121,27 +98,10 @@ } ], "metadata": { - "kernelspec": { - "display_name": "Python 3.10.6 64-bit (windows store)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.6" - }, - "vscode": { - "interpreter": { - "hash": "0df096debc758afc4e07b4a6d7176310e13b87e5b446a84739768769d4d90649" - } + "jupytext": { + "cell_metadata_filter": "-all", + "main_language": "python", + "notebook_metadata_filter": "-all" } }, "nbformat": 4, diff --git a/examples/notebooks/EX13_hydraulic_and_quality_analysis.ipynb b/examples/notebooks/EX13_hydraulic_and_quality_analysis.ipynb index 6ef33f9..ac139c0 100644 --- a/examples/notebooks/EX13_hydraulic_and_quality_analysis.ipynb +++ b/examples/notebooks/EX13_hydraulic_and_quality_analysis.ipynb @@ -1,316 +1,46 @@ { "cells": [ { - "cell_type": "markdown", - "id": "4e52f002", + "cell_type": "code", + "execution_count": null, + "id": "9da3b226", "metadata": {}, + "outputs": [], "source": [ - "### Runs the Hydraulic and Quality analysis of a network.\n", + "\"\"\" Runs the Hydraulic and Quality analysis of a network.\n", "\n", - "This example contains:\n", - "* Load a network.\n", - "* Hydraulic and Quality analysis STEP-BY-STEP.\n", - "* Display nodes pressures, links flows, nodes actual qualities, links actual qualities.\n", - "* Unload library." + " This example contains:\n", + " Load a network.\n", + " Hydraulic and Quality analysis STEP-BY-STEP.\n", + " Display nodes pressures, links flows, nodes actual qualities, links actual qualities.\n", + " Unload library.\n", + "\"\"\"\n", + "from epyt import epanet" ] }, { "cell_type": "code", - "execution_count": 1, - "id": "c17e0def", + "execution_count": null, + "id": "b4381192", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "EPANET version 20200 loaded (EPyT version 1.0.5).\n", - "Input File Net1.inp loaded successfully.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ - "from epyt import epanet\n", - "\n", - "# Load network\n", - "d = epanet('Net1.inp')" + "# Load a network.\n", + "d = epanet('Net1.inp', loadfile=True)\n", + "d.setQualityType('Chlorine', 'mg/L')\n", + "initialQuality = 0.6\n", + "nodeIndex = d.getNodeReservoirIndex()\n", + "nodeIndex = [nodeIndex[0], d.getNodeTankIndex()[0]]\n", + "d.setNodeInitialQuality(nodeIndex, [initialQuality] * len(nodeIndex))" ] }, { "cell_type": "code", - "execution_count": 2, - "id": "16273a4e", - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Pressure:\n", - " [array([127.54072491, 119.25732074, 117.02125399, 118.66902368,\n", - " 117.66115716, 118.75815405, 120.73696519, 115.86077993,\n", - " 110.79018511, 0. , 51.996 ]), array([128.58963612, 120.45028753, 118.34940585, 119.99139321,\n", - " 118.94074548, 120.07340709, 122.05444889, 117.14855347,\n", - " 112.0894993 , 0. , 53.32542596]), array([129.24743752, 121.19853401, 119.633948 , 120.91182173,\n", - " 119.34717535, 120.82394882, 122.78398354, 117.00731724,\n", - " 111.88895591, 0. , 54.6243226 ]), array([129.95740184, 122.00620684, 120.53119195, 121.80401471,\n", - " 120.21268816, 121.70906898, 123.67069653, 117.87722459,\n", - " 112.76452393, 0. , 55.52219246]), array([130.2807869 , 122.37412937, 121.39879063, 122.22626599,\n", - " 120.12852018, 121.88262608, 123.82066328, 117.12817501,\n", - " 111.89206413, 0. , 56.39910545]), array([130.66581304, 122.81220852, 121.88417723, 122.70842025,\n", - " 120.59761555, 122.35995953, 124.29888252, 117.59909621,\n", - " 112.36522402, 0. , 56.88469473]), array([130.67296063, 122.82034125, 122.35404163, 122.65949442,\n", - " 120.05043713, 121.99713313, 123.90925151, 116.27646055,\n", - " 110.86955714, 0. , 57.3588257 ]), array([130.74630016, 122.90378911, 122.44621817, 122.75097749,\n", - " 120.13971557, 122.0875427 , 123.99983233, 116.36598084,\n", - " 110.95932278, 0. , 57.45101172]), array([131.18618207, 123.40432512, 122.54022505, 123.36008274,\n", - " 121.23167202, 123.00507407, 124.94519528, 118.23560812,\n", - " 113.00477303, 0. , 57.54101105]), array([131.54976976, 123.818075 , 122.99861945, 123.81539416,\n", - " 121.67471938, 123.45577412, 125.39673394, 118.68034567,\n", - " 113.4515494 , 0. , 57.99958929]), array([132.26981375, 124.63753647, 123.45427607, 124.71035299,\n", - " 123.03261446, 124.59180141, 126.55864067, 120.71122109,\n", - " 115.61661061, 0. , 58.44725465]), array([132.9081991 , 125.36415115, 124.26141912, 125.51278568,\n", - " 123.81133141, 125.3875497 , 127.35583525, 121.49373493,\n", - " 116.40390485, 0. , 59.2549267 ]), array([133.88680955, 126.47817303, 125.06096964, 126.67233084,\n", - " 125.40691528, 126.71568902, 128.70816244, 123.65496369,\n", - " 118.65176767, 0. , 60.04320918]), array([120.59982888, 120.59982888, 125.59789324, 126.72157821,\n", - " 123.67823733, 126.01248102, 128.12522043, 122.15478433,\n", - " 117.43828898, 0. , 60.66200396]), array([119.72714683, 119.72714683, 124.72521117, 125.84889614,\n", - " 122.80555525, 125.13979894, 127.25253835, 121.28210223,\n", - " 116.56560676, 0. , 59.78932188]), array([118.06362698, 118.06362698, 122.83656012, 124.31324937,\n", - " 121.56672858, 123.84418927, 125.97512723, 120.55898112,\n", - " 115.97230308, 0. , 57.88066123]), array([116.53669822, 116.53669822, 121.30963133, 122.78632058,\n", - " 120.03979981, 122.31726049, 124.44819845, 119.03205234,\n", - " 114.44537431, 0. , 56.35373243]), array([115.20762617, 115.20762617, 119.79885261, 121.56045664,\n", - " 119.05350363, 121.28513392, 123.43076019, 118.46198944,\n", - " 113.9800889 , 0. , 54.82680367]), array([114.0624293 , 114.0624293 , 118.65365572, 120.41525974,\n", - " 117.90830674, 120.13993703, 122.2855633 , 117.31679255,\n", - " 112.83489201, 0. , 53.68160677]), array([113.06571303, 113.06571303, 117.52057856, 119.49599535,\n", - " 117.16882472, 119.36606182, 121.52271086, 116.88967054,\n", - " 112.4863997 , 0. , 52.53640989]), array([112.30224803, 112.30224803, 116.75711355, 118.73253034,\n", - " 116.40535971, 118.60259681, 120.75924585, 116.12620553,\n", - " 111.72293469, 0. , 51.77294488]), array([111.39030247, 111.39030247, 115.98152883, 117.74313286,\n", - " 115.23617988, 117.46781016, 119.61343643, 114.64466569,\n", - " 110.16276515, 0. , 51.00947988]), array([110.24510567, 110.24510567, 114.83633201, 116.59793604,\n", - " 114.09098307, 116.32261334, 118.46823961, 113.49946888,\n", - " 109.01756833, 0. , 49.86428306]), array([108.90205226, 108.90205226, 113.67498516, 115.15167443,\n", - " 112.40515374, 114.68261438, 116.81355234, 111.39740626,\n", - " 106.81072821, 0. , 48.71908625]), array([124.4831854 , 115.78099069, 112.71091155, 114.63566436,\n", - " 114.22834321, 114.80094528, 116.79751402, 112.82805366,\n", - " 107.68452096, 0. , 47.66296063]), array([124.9202083 , 116.27777213, 113.26479332, 115.18812073,\n", - " 114.76197098, 115.35222879, 117.34954608, 113.36596568,\n", - " 108.22952344, 0. , 48.21751382]), array([125.96844577, 117.46948081, 115.03090243, 116.68717365,\n", - " 115.74356883, 116.78665622, 118.76214433, 113.930796 ,\n", - " 108.8426114 , 0. , 50.00371456])] \n", - "\n", - "Flow:\n", - " [array([1866.17582999, 1234.20718031, 129.33513459, 191.15813055,\n", - " 120.66486541, 40.81051913, -766.17582999, 481.96864968,\n", - " 188.69621573, 29.33513459, 140.81051913, 59.18948087,\n", - " 1866.17582999]), array([1848.5811499 , 1220.42735204, 130.11161003, 187.68931035,\n", - " 119.88838997, 40.46448751, -748.5811499 , 478.15379786,\n", - " 191.7345921 , 30.11161003, 140.46448751, 59.53551249,\n", - " 1848.5811499 ]), array([1837.46107838, 1164.40006184, 172.96024101, 150.84406805,\n", - " 127.03975899, 42.21694849, -517.46107838, 493.06101654,\n", - " 293.97874245, 52.96024101, 162.21694849, 77.78305151,\n", - " 1837.46107838]), array([1825.38318977, 1154.81751895, 173.49038595, 148.51329828,\n", - " 126.50961405, 42.05237255, -505.38318977, 490.56567082,\n", - " 295.94394323, 53.49038595, 162.05237255, 77.94762745,\n", - " 1825.38318977]), array([1819.85520335, 1100.06346451, 215.82218122, 114.26706329,\n", - " 134.17781878, 45.52467555, -279.85520335, 509.79173884,\n", - " 394.38607993, 75.82218122, 185.52467555, 94.47532445,\n", - " 1819.85520335]), array([1813.25153977, 1094.75900825, 216.10333393, 113.0288248 ,\n", - " 133.89666607, 45.46370672, -273.25153977, 508.49253152,\n", - " 395.40413455, 76.10333393, 185.46370672, 94.53629328,\n", - " 1813.25153977]), array([1813.12872281, 1041.7853794 , 257.80609022, 81.35402836,\n", - " 142.19390978, 49.98931505, -53.12872281, 531.34334341,\n", - " 490.85056637, 97.80609022, 209.98931505, 110.01068495,\n", - " 1813.12872281]), array([1811.8684852 , 1040.76173077, 257.85789686, 81.12504898,\n", - " 142.14210314, 49.98170545, -51.86848521, 531.10675443,\n", - " 491.03534871, 97.85789686, 209.98170545, 110.01829455,\n", - " 1811.8684852 ]), array([1804.28817716, 1087.55602801, 216.48434526, 111.35020292,\n", - " 133.51565474, 45.38194623, -264.28817716, 506.73214915,\n", - " 396.78350559, 76.48434526, 185.38194623, 94.61805377,\n", - " 1804.28817716]), array([1797.99885729, 1082.50107855, 216.75174811, 110.1725689 ,\n", - " 133.24825189, 45.32520984, -257.99885729, 505.49777874,\n", - " 397.75047315, 76.75174811, 185.32520984, 94.67479016,\n", - " 1797.99885729]), array([1785.47819904, 1123.12405866, 175.23829868, 140.82904569,\n", - " 124.76170132, 41.52509469, -465.47819904, 482.35414038,\n", - " 302.40756095, 55.23829868, 161.52509469, 78.47490531,\n", - " 1785.47819904]), array([1774.30359304, 1114.24059758, 175.72719557, 138.68121978,\n", - " 124.27280443, 41.38177567, -454.30359304, 480.06299546,\n", - " 304.20980897, 55.72719557, 161.38177567, 78.61822433,\n", - " 1774.30359304]), array([1757.03555296, 1148.59656553, 134.16017712, 169.68634942,\n", - " 115.83982288, 38.75263802, -657.03555296, 458.43898743,\n", - " 207.40083544, 34.16017712, 138.75263802, 61.24736198,\n", - " 1757.03555296]), array([-8.44188003e-04, -3.58364874e+02, 1.88567513e+02, -7.03036978e+01,\n", - " 6.14324873e+01, 2.86677284e+01, 1.10000084e+03, 2.08364031e+02,\n", - " 4.03068457e+02, 8.85675127e+01, 1.28667728e+02, 7.13322716e+01,\n", - " 0.00000000e+00]), array([-8.35041012e-04, -3.58364866e+02, 1.88567513e+02, -7.03036968e+01,\n", - " 6.14324872e+01, 2.86677280e+01, 1.10000083e+03, 2.08364031e+02,\n", - " 4.03068456e+02, 8.85675128e+01, 1.28667728e+02, 7.13322720e+01,\n", - " 0.00000000e+00]), array([-8.21050001e-04, -2.86692025e+02, 1.50854015e+02, -5.62429775e+01,\n", - " 4.91459851e+01, 2.29341815e+01, 8.80000821e+02, 1.66691204e+02,\n", - " 3.22454781e+02, 7.08540149e+01, 1.02934182e+02, 5.70658185e+01,\n", - " 0.00000000e+00]), array([-8.05439731e-04, -2.86692013e+02, 1.50854015e+02, -5.62429757e+01,\n", - " 4.91459855e+01, 2.29341816e+01, 8.80000807e+02, 1.66691206e+02,\n", - " 3.22454780e+02, 7.08540145e+01, 1.02934182e+02, 5.70658184e+01,\n", - " 0.00000000e+00]), array([-7.89317208e-04, -2.15019169e+02, 1.13140517e+02, -4.21822561e+01,\n", - " 3.68594834e+01, 1.72006351e+01, 6.60000790e+02, 1.25018379e+02,\n", - " 2.41841104e+02, 5.31405166e+01, 7.72006351e+01, 4.27993649e+01,\n", - " 0.00000000e+00]), array([-7.78005235e-04, -2.15019160e+02, 1.13140516e+02, -4.21822546e+01,\n", - " 3.68594838e+01, 1.72006352e+01, 6.60000779e+02, 1.25018381e+02,\n", - " 2.41841103e+02, 5.31405162e+01, 7.72006352e+01, 4.27993648e+01,\n", - " 0.00000000e+00]), array([-7.66423148e-04, -1.43346319e+02, 7.54270184e+01, -2.81215354e+01,\n", - " 2.45729816e+01, 1.14670887e+01, 4.40000766e+02, 8.33455533e+01,\n", - " 1.61227428e+02, 3.54270184e+01, 5.14670887e+01, 2.85329113e+01,\n", - " 0.00000000e+00]), array([-7.58144855e-04, -1.43346312e+02, 7.54270182e+01, -2.81215344e+01,\n", - " 2.45729818e+01, 1.14670888e+01, 4.40000758e+02, 8.33455544e+01,\n", - " 1.61227427e+02, 3.54270182e+01, 5.14670888e+01, 2.85329112e+01,\n", - " 0.00000000e+00]), array([-7.51397910e-04, -2.15019134e+02, 1.13140515e+02, -4.21822508e+01,\n", - " 3.68594847e+01, 1.72006354e+01, 6.60000750e+02, 1.25018385e+02,\n", - " 2.41841100e+02, 5.31405153e+01, 7.72006354e+01, 4.27993646e+01,\n", - " 0.00000000e+00]), array([-7.36246450e-04, -2.15019124e+02, 1.13140515e+02, -4.21822492e+01,\n", - " 3.68594850e+01, 1.72006354e+01, 6.60000738e+02, 1.25018386e+02,\n", - " 2.41841099e+02, 5.31405150e+01, 7.72006354e+01, 4.27993646e+01,\n", - " 0.00000000e+00]), array([-7.22297458e-04, -2.86691937e+02, 1.50854012e+02, -5.62429641e+01,\n", - " 4.91459882e+01, 2.29341821e+01, 8.80000719e+02, 1.66691218e+02,\n", - " 3.22454770e+02, 7.08540118e+01, 1.02934182e+02, 5.70658179e+01,\n", - " 0.00000000e+00]), array([ 1916.54228288, 1316.48687425, 85.64017322, 237.11315857,\n", - " 114.35982678, 42.94225006, -1036.54228288, 480.05540863,\n", - " 74.30441815, 5.64017322, 122.94225006, 37.05774994,\n", - " 1916.54228288]), array([ 1909.42463732, 1310.99431773, 85.91245887, 235.69131646,\n", - " 114.08754113, 42.73900312, -1029.42463732, 478.43031959,\n", - " 75.65722155, 5.91245887, 122.73900312, 37.26099688,\n", - " 1909.42463732]), array([1892.24322638, 1254.6080378 , 128.18624539, 196.30201792,\n", - " 121.81375461, 41.33317067, -792.24322638, 487.63518859,\n", - " 184.17856603, 28.18624539, 141.33317067, 58.66682933,\n", - " 1892.24322638])] \n", - "\n", - "Node Quality:\n", - " [array([0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.6, 0.6]), array([0.6 , 0.44065898, 0.43224269, 0.42156536, 0.41220038,\n", - " 0.42324871, 0.43861269, 0.39244434, 0.37149602, 0.6 ,\n", - " 0.58365015]), array([0.6 , 0.49437298, 0.42577835, 0.35533819, 0.38954069,\n", - " 0.35918986, 0.38484738, 0.31374675, 0.27603482, 0.6 ,\n", - " 0.56797076]), array([0.6 , 0.51279731, 0.45759788, 0.2990145 , 0.42899036,\n", - " 0.30875086, 0.33161544, 0.27539607, 0.22039886, 0.6 ,\n", - " 0.55444257]), array([0.6 , 0.51235741, 0.46657224, 0.28134861, 0.43933109,\n", - " 0.30669367, 0.28706012, 0.29376502, 0.18757709, 0.6 ,\n", - " 0.54163168]), array([0.6 , 0.51191928, 0.46410138, 0.32015069, 0.44143906,\n", - " 0.33778808, 0.23779388, 0.31085311, 0.16822717, 0.6 ,\n", - " 0.52973192]), array([0.6 , 0.51169295, 0.46356947, 0.33976056, 0.44096135,\n", - " 0.35040186, 0.19479036, 0.32349113, 0.17991922, 0.6 ,\n", - " 0.51818837]), array([0.6 , 0.51146967, 0.46114932, 0.34347846, 0.44352242,\n", - " 0.36039191, 0.17509076, 0.32396227, 0.19456082, 0.6 ,\n", - " 0.50729225]), array([0.6 , 0.51145758, 0.46097162, 0.35203486, 0.44336987,\n", - " 0.36566259, 0.19083883, 0.33449617, 0.20991245, 0.6 ,\n", - " 0.4966389 ]), array([0.6 , 0.51136686, 0.46290959, 0.34843223, 0.44038159,\n", - " 0.3552587 , 0.20650956, 0.33526969, 0.21325961, 0.6 ,\n", - " 0.48605373]), array([0.6 , 0.51106915, 0.46254935, 0.33718181, 0.44008712,\n", - " 0.34503745, 0.20850087, 0.3233874 , 0.20181358, 0.6 ,\n", - " 0.47577505]), array([0.6 , 0.51077117, 0.46387904, 0.33044218, 0.43677341,\n", - " 0.33361572, 0.21038283, 0.32200108, 0.19323187, 0.6 ,\n", - " 0.46577646]), array([0.6 , 0.51026458, 0.4631913 , 0.32022694, 0.4361491 ,\n", - " 0.32866768, 0.20656877, 0.30975674, 0.1804681 , 0.6 ,\n", - " 0.45611016]), array([0.6 , 0.52359199, 0.46946603, 0.34613448, 0.45651143,\n", - " 0.33156719, 0.21503454, 0.3087006 , 0.18696529, 0.6 ,\n", - " 0.45110058]), array([0.59423914, 0.49347632, 0.44668877, 0.32531282, 0.42248039,\n", - " 0.36667129, 0.19231757, 0.34807597, 0.19112664, 0.6 ,\n", - " 0.44680364]), array([0.58176043, 0.43139804, 0.43585547, 0.31694882, 0.38727769,\n", - " 0.35277683, 0.18030273, 0.28742836, 0.16736293, 0.6 ,\n", - " 0.43749523]), array([0.56954376, 0.3556181 , 0.426453 , 0.30273396, 0.32527702,\n", - " 0.35320953, 0.17953409, 0.26385459, 0.16019232, 0.6 ,\n", - " 0.42838075]), array([0.55758363, 0.33008286, 0.41756856, 0.29967748, 0.28609597,\n", - " 0.33415512, 0.1733796 , 0.2464519 , 0.1694515 , 0.6 ,\n", - " 0.41945615]), array([0.54587466, 0.31285701, 0.40839245, 0.28082473, 0.23895974,\n", - " 0.32064147, 0.17537915, 0.20716989, 0.15470746, 0.6 ,\n", - " 0.41071748]), array([0.53441158, 0.29787277, 0.39988428, 0.26397302, 0.20894242,\n", - " 0.30780003, 0.16028426, 0.17777953, 0.14032978, 0.6 ,\n", - " 0.40216087]), array([0.52318921, 0.29636033, 0.39076575, 0.26003341, 0.18968857,\n", - " 0.29780043, 0.15064064, 0.15851342, 0.13004108, 0.6 ,\n", - " 0.39378251]), array([0.5122025 , 0.26923396, 0.3826248 , 0.23324558, 0.17615701,\n", - " 0.27717363, 0.14183608, 0.13183748, 0.11707945, 0.6 ,\n", - " 0.38557871]), array([0.50144652, 0.26253633, 0.37540858, 0.2254776 , 0.16715779,\n", - " 0.2668525 , 0.13303044, 0.11059688, 0.10642351, 0.6 ,\n", - " 0.37754582]), array([0.4909164 , 0.25680111, 0.36758757, 0.21992494, 0.16176739,\n", - " 0.26740782, 0.1270844 , 0.09817248, 0.09964924, 0.6 ,\n", - " 0.36968028]), array([0.48378601, 0.26194992, 0.36272436, 0.22878313, 0.16126596,\n", - " 0.28361114, 0.12269215, 0.09616079, 0.10288207, 0.6 ,\n", - " 0.36435329]), array([0.6 , 0.43618044, 0.33353743, 0.23384247, 0.19019592,\n", - " 0.25787605, 0.12808958, 0.10730828, 0.09896751, 0.6 ,\n", - " 0.36171436]), array([0.6 , 0.41108954, 0.36052959, 0.23175993, 0.2934005 ,\n", - " 0.17734685, 0.13226249, 0.0972196 , 0.08178798, 0.6 ,\n", - " 0.3543075 ])] \n", - "\n", - "Link Quality:\n", - " [array([0.5 , 0.5 , 0.5 , 0.5 , 0.5 , 0.5 , 0.5 , 0.5 , 0.5 , 0.5 , 0.5 ,\n", - " 0.5 , 0.55]), array([0.56883274, 0.44065898, 0.42541161, 0.4137579 , 0.43661404,\n", - " 0.38271284, 0.43224269, 0.44065898, 0.43286334, 0.43009696,\n", - " 0.4045507 , 0.3926812 , 0.6 ]), array([0.58554326, 0.49437298, 0.38410691, 0.36748614, 0.37811947,\n", - " 0.29830148, 0.42577835, 0.49437298, 0.39365275, 0.36832887,\n", - " 0.36389704, 0.32950645, 0.6 ]), array([0.58521002, 0.51279731, 0.39618198, 0.36717394, 0.32447455,\n", - " 0.24440986, 0.45759788, 0.51279731, 0.41424392, 0.30384902,\n", - " 0.39215417, 0.28865259, 0.6 ]), array([0.58484858, 0.51235741, 0.41930027, 0.37818893, 0.28692926,\n", - " 0.22525233, 0.46657224, 0.51235741, 0.43394831, 0.25821554,\n", - " 0.40842809, 0.27306661, 0.6 ]), array([0.58468333, 0.51191928, 0.43256916, 0.37631104, 0.27326122,\n", - " 0.23132827, 0.46410138, 0.51191928, 0.44760688, 0.24695532,\n", - " 0.42200042, 0.30546965, 0.6 ]), array([0.58448607, 0.51169295, 0.43149161, 0.37398361, 0.27559775,\n", - " 0.2447027 , 0.46356947, 0.51169295, 0.44683896, 0.25869098,\n", - " 0.42190414, 0.32067721, 0.6 ]), array([0.5844824 , 0.51146967, 0.43829969, 0.36114049, 0.28865773,\n", - " 0.25522316, 0.46114932, 0.51146967, 0.4575377 , 0.28677072,\n", - " 0.43460787, 0.34341691, 0.6 ]), array([0.58444477, 0.51145758, 0.43762378, 0.35473793, 0.30032735,\n", - " 0.26305723, 0.46097162, 0.51145758, 0.457292 , 0.29916097,\n", - " 0.43463529, 0.34895511, 0.6 ]), array([0.58421857, 0.51136686, 0.4301437 , 0.36121598, 0.30140386,\n", - " 0.26203645, 0.46290959, 0.51136686, 0.44589815, 0.29142899,\n", - " 0.4216917 , 0.32960002, 0.6 ]), array([0.58403106, 0.51106915, 0.43061438, 0.36660827, 0.29777941,\n", - " 0.25772236, 0.46254935, 0.51106915, 0.44612976, 0.28392133,\n", - " 0.42098303, 0.3201774 , 0.6 ]), array([0.5836582 , 0.51077117, 0.42344094, 0.37928478, 0.28986155,\n", - " 0.25138857, 0.46387904, 0.51077117, 0.43496866, 0.26838539,\n", - " 0.40897503, 0.29996094, 0.6 ]), array([0.58332594, 0.51026458, 0.42227637, 0.38127374, 0.28169208,\n", - " 0.24318059, 0.4631913 , 0.51026458, 0.43524305, 0.2560167 ,\n", - " 0.40771305, 0.2938189 , 0.6 ]), array([0.57735881, 0.51741702, 0.41101577, 0.3895849 , 0.27663147,\n", - " 0.23588175, 0.46946603, 0.50300134, 0.42546652, 0.24926974,\n", - " 0.40867892, 0.28364468, 0.6 ]), array([0.57181535, 0.47676245, 0.40814457, 0.36054362, 0.27288807,\n", - " 0.23286238, 0.44668877, 0.48249658, 0.42386554, 0.25338813,\n", - " 0.38818914, 0.28734197, 0.59711957]), array([0.55980754, 0.41905668, 0.4010572 , 0.31060176, 0.26510997,\n", - " 0.21593219, 0.43749523, 0.42003539, 0.4229984 , 0.26236686,\n", - " 0.36195901, 0.30266139, 0.59088021]), array([0.54805188, 0.39759194, 0.38782202, 0.28353933, 0.2569954 ,\n", - " 0.19781009, 0.42838075, 0.35789259, 0.40548909, 0.25589865,\n", - " 0.31625956, 0.30049002, 0.58477188]), array([0.53654308, 0.38548833, 0.37429038, 0.26221994, 0.24939255,\n", - " 0.18041614, 0.41945615, 0.31312078, 0.39693827, 0.24924317,\n", - " 0.27004803, 0.28462099, 0.57879182]), array([0.52527597, 0.37147992, 0.35773119, 0.24769141, 0.24063888,\n", - " 0.16201137, 0.41071748, 0.28560215, 0.38184184, 0.23138673,\n", - " 0.22969296, 0.26183691, 0.57293733]), array([0.51424546, 0.36102009, 0.3463123 , 0.23719868, 0.2320885 ,\n", - " 0.14418351, 0.40216087, 0.2671693 , 0.37090759, 0.21756818,\n", - " 0.19675383, 0.24596422, 0.56720579]), array([0.50344658, 0.34421201, 0.32711246, 0.22679527, 0.22382163,\n", - " 0.12860004, 0.39378251, 0.25177949, 0.35217585, 0.20312624,\n", - " 0.17062507, 0.22510101, 0.5615946 ]), array([0.49287447, 0.33294911, 0.31441707, 0.21682886, 0.21558782,\n", - " 0.11316694, 0.38557871, 0.23534033, 0.33974782, 0.18790173,\n", - " 0.15183754, 0.20813943, 0.55610125]), array([0.48252437, 0.33012567, 0.31398435, 0.20760481, 0.20778469,\n", - " 0.09772865, 0.37754582, 0.22917508, 0.34247228, 0.17930374,\n", - " 0.14214499, 0.20527312, 0.55072326]), array([0.47239162, 0.32698131, 0.31290244, 0.19975461, 0.20084747,\n", - " 0.08461304, 0.36968028, 0.22418188, 0.34089326, 0.17269422,\n", - " 0.13664741, 0.20528314, 0.5454582 ]), array([0.4655303 , 0.32821905, 0.3166339 , 0.19876971, 0.19874566,\n", - " 0.07729886, 0.36435329, 0.2281427 , 0.3397983 , 0.17486016,\n", - " 0.13770185, 0.21754035, 0.54189301]), array([0.49018354, 0.3723495 , 0.31028068, 0.17551612, 0.20039821,\n", - " 0.07591127, 0.33353743, 0.3158344 , 0.33158789, 0.17442228,\n", - " 0.14246925, 0.21203701, 0.6 ]), array([0.58737408, 0.41108954, 0.29755726, 0.24076328, 0.18687015,\n", - " 0.07269817, 0.36052959, 0.41108954, 0.31065259, 0.17285853,\n", - " 0.21738256, 0.17881377, 0.6 ])] \n", - "\n" - ] - } - ], + "execution_count": null, + "id": "3a9696a0", + "metadata": {}, + "outputs": [], "source": [ - "d.setQualityType('Chlorine', 'mg/L')\n", - "initialQuality = 0.6\n", - "nodeIndex = d.getNodeReservoirIndex()\n", - "nodeIndex = [nodeIndex[0], d.getNodeTankIndex()[0]]\n", - "d.setNodeInitialQuality(nodeIndex, [initialQuality] * len(nodeIndex))\n", - "\n", "# Set time hydraulic and quality steps\n", "etstep = 3600\n", "d.setTimeReportingStep(etstep)\n", @@ -318,14 +48,30 @@ "d.setTimeQualityStep(etstep)\n", "# step = min(Pstep,Hstep)\n", "# Hstep = min(Rstep,Hstep)\n", - "# Hstep = min(Qstep,Hstep)\n", - "\n", + "# Hstep = min(Qstep,Hstep)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ad7ee9c6", + "metadata": {}, + "outputs": [], + "source": [ "# Hydraulic and Quality analysis STEP-BY-STEP.\n", "d.openHydraulicAnalysis()\n", "d.openQualityAnalysis()\n", "d.initializeHydraulicAnalysis(0)\n", - "d.initializeQualityAnalysis(d.ToolkitConstants.EN_NOSAVE)\n", - "\n", + "d.initializeQualityAnalysis(d.ToolkitConstants.EN_NOSAVE)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9581b32b", + "metadata": {}, + "outputs": [], + "source": [ "tstep = 1\n", "T, P, F, QN, QL = [], [], [], [], []\n", "while tstep > 0:\n", @@ -340,11 +86,27 @@ " T.append(t)\n", "\n", " tstep = d.nextHydraulicAnalysisStep()\n", - " qtstep = d.nextQualityAnalysisStep()\n", - "\n", + " qtstep = d.nextQualityAnalysisStep()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "74913f5b", + "metadata": {}, + "outputs": [], + "source": [ "d.closeQualityAnalysis()\n", - "d.closeHydraulicAnalysis()\n", - "\n", + "d.closeHydraulicAnalysis()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ea8357ba", + "metadata": {}, + "outputs": [], + "source": [ "# Display nodes pressures, links flows, nodes actual qualities, links actual qualities.\n", "print(f'Pressure:\\n {P} \\n')\n", "print(f'Flow:\\n {F} \\n')\n", @@ -354,19 +116,10 @@ }, { "cell_type": "code", - "execution_count": 3, - "id": "83dcbaf4", + "execution_count": null, + "id": "4e555a33", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Close toolkit for the input file \"Net1\". EPANET Toolkit is unloaded.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ "# Unload library.\n", "d.unload()" @@ -374,27 +127,10 @@ } ], "metadata": { - "kernelspec": { - "display_name": "Python 3.10.6 64-bit (windows store)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.6" - }, - "vscode": { - "interpreter": { - "hash": "0df096debc758afc4e07b4a6d7176310e13b87e5b446a84739768769d4d90649" - } + "jupytext": { + "cell_metadata_filter": "-all", + "main_language": "python", + "notebook_metadata_filter": "-all" } }, "nbformat": 4, diff --git a/examples/notebooks/EX14_create_multiple_scenarios.ipynb b/examples/notebooks/EX14_create_multiple_scenarios.ipynb index 6df2072..3725791 100644 --- a/examples/notebooks/EX14_create_multiple_scenarios.ipynb +++ b/examples/notebooks/EX14_create_multiple_scenarios.ipynb @@ -1,55 +1,44 @@ { "cells": [ { - "cell_type": "markdown", - "id": "b9a95f26", + "cell_type": "code", + "execution_count": null, + "id": "e4a8844f", "metadata": {}, + "outputs": [], "source": [ - "### Creates scenarios based on node count of inp file EPANET.\n", + "\"\"\" Creates scenarios based on node count of inp file EPANET.\n", " \n", - "This example contains:\n", - "* Load a network.\n", - "* Create scenario parameters.\n", - "* Create Multiple Scenarios.\n", - "* Set quality type.\n", - "* Run Scenarios.\n", - "* Get computed quality time series.\n", - "* Plot Quality VS Time.\n", - "* Unload library" + " This example contains:\n", + " Load a network.\n", + " Create scenario parameters.\n", + " Create Multiple Scenarios.\n", + " Set quality type.\n", + " Run Scenarios.\n", + " Get computed quality time series.\n", + " Plot Quality VS Time.\n", + " Unload library\n", + "\"\"\"\n", + "import random" ] }, { "cell_type": "code", - "execution_count": 6, - "id": "a74b44ab", + "execution_count": null, + "id": "2bfeac3b", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "EPANET version 20200 loaded (EPyT version 1.0.5).\n", - "Input File Net1.inp loaded successfully.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ - "import random\n", - "from epyt import epanet\n", - "\n", - "# Load network\n", - "d = epanet('Net1.inp')" + "from epyt import epanet" ] }, { "cell_type": "code", - "execution_count": 7, - "id": "1cbff2ef", + "execution_count": null, + "id": "c9beb330", "metadata": {}, "outputs": [], "source": [ - "# Add uncertainty function\n", "def add_unc(ext, unc):\n", " # Add uncertainty (unc) to the parameter ext\n", " ql = [i - unc * i for i in ext]\n", @@ -61,52 +50,92 @@ }, { "cell_type": "code", - "execution_count": 8, - "id": "26ba7d5b", - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Number of Scenarios = NodeCount: 11\n", - "Scenario: 1\n", - "Scenario: 2\n", - "Scenario: 3\n", - "Scenario: 4\n", - "Scenario: 5\n", - "Scenario: 6\n", - "Scenario: 7\n", - "Scenario: 8\n", - "Scenario: 9\n", - "Scenario: 10\n", - "Scenario: 11\n" - ] - } - ], + "execution_count": null, + "id": "7207247a", + "metadata": {}, + "outputs": [], + "source": [ + "d = epanet('Net1.inp')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "01716e3b", + "metadata": {}, + "outputs": [], + "source": [ + "# Close any open figures\n", + "d.plot_close()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b4f0b0de", + "metadata": {}, + "outputs": [], "source": [ "# Create scenario parameters\n", "# Times\n", "duration = 48\n", "patern_time_step = 3600 # in seconds\n", - "d.setTimeSimulationDuration(duration * 3600)\n", - "\n", + "d.setTimeSimulationDuration(duration * 3600)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "de52d6d3", + "metadata": {}, + "outputs": [], + "source": [ "# Contamintant\n", "source_injection_rate = 10 # mg/L (Concentration), instead of mg/minute\n", - "source_injection_times = [5, 20] # from...to in hours\n", - "\n", + "source_injection_times = [5, 20] # from...to in hours" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "59d6699d", + "metadata": {}, + "outputs": [], + "source": [ "# Uncertainty\n", - "qunc = 0.05\n", - "\n", + "qunc = 0.05" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1187e7a1", + "metadata": {}, + "outputs": [], + "source": [ "# Set quality type & units\n", "quality_type = 'chem'\n", "quality_units = 'mg/L'\n", - "d.setQualityType(quality_type, quality_units)\n", - "\n", - "print(f'Number of Scenarios = NodeCount: {str(d.getNodeCount())}')\n", - "\n", + "d.setQualityType(quality_type, quality_units)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0311bc59", + "metadata": {}, + "outputs": [], + "source": [ + "print(f'Number of Scenarios = NodeCount: {str(d.getNodeCount())}')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "28f2ac0e", + "metadata": {}, + "outputs": [], + "source": [ "# Create Multiple Scenarios\n", "# Create a scenario for each node of the net\n", "CN = {}\n", @@ -154,109 +183,17 @@ "\n", " # Get computed quality time series\n", " res = d.getComputedQualityTimeSeries()\n", - " CN[n] = res.NodeQuality\n", - " \n" + " CN[n] = res.NodeQuality" ] }, { "cell_type": "code", - "execution_count": 9, - "id": "78430263", - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "data": { - "text/plain": "
    ", - "image/png": "iVBORw0KGgoAAAANSUhEUgAAA6YAAAMQCAYAAAA0EXiDAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAC4jAAAuIwF4pT92AAEAAElEQVR4nOzdeXwTdf4/8NfkatK7tKVQyiH3KYIcKiKHNwqKt7JfRUEXdV11dT1QFHZ/u667rqvuKrJeeK3iiXhfgArIJfepCJQCBUrp3eacz++P0pCZSdIckyZNX8/Hw4fJdDLzSWgzeef9+bzfkhBCgIiIiIiIiChODPEeABEREREREbVtDEyJiIiIiIgorhiYEhERERERUVwxMCUiIiIiIqK4YmBKREREREREccXAlIiIiIiIiOKKgSkRERERERHFFQNTIiIiIiIiiisGpkRERERERBRXDEyJiIiIiIgorhiYEhERERERUVwxMCUiIiIiIqK4YmBKREREREREccXAlIiIiIiIiOKKgSkRERERERHFFQNTIiIiIiIiiisGpkRERERERBRXDEyJiIiIiIgorhiYEhERERERUVwxMCUiIiIiIqK4YmBKREREREREccXAlIiIiIiIiOKKgSkRERERERHFFQNTIiIiIiIiiisGpkRERERERBRXDEyJiIiIiIgorhiYEhERERERUVwxMCUiIiIiIqK4YmBKREREREREccXAlIiIiGJm9uzZkCQJkiRh9uzZ8R4OERElKFO8B0BERBTM0qVL8c4772D16tUoLi5GVVUVjEYjMjIy0KVLF/Tu3RvDhw/H6NGjceqpp0KSpHgPmZKcx+PB1q1bsWbNGqxduxZr1qzBpk2b4HK5AABjxozB0qVL4ztIIqJWhoEpERElpO3bt+Omm27CypUrNT9zuVyw2+0oKyvDTz/9hLfeegsAMGDAAGzZsqWlh0ptyMKFCzFlyhTU19fHeyhEREmFgSkRESWc9evXY/z48aisrPRuKygowLBhw9ChQwdIkoTy8nJs2bIFu3btghACABT7E8VCZWUlg1IiohhgYEpERAnF5XLhuuuu8waZhYWFePbZZzFp0iQYDNrSCGVlZfjoo4/w+uuvY/fu3S08WmrO7Nmzk3JtaUFBAYYPH+7978svv8TTTz8d72EREbVaDEyJiCihLFy4EDt27AAA2Gw2LFmyBL179w64f35+PqZPn47p06fj119/balhUht1wQUXoLi4GF26dFFsX7VqVZxGRESUHBiYEhFRQvnqq6+8ty+55JKgQalajx49YjEkIq8OHTrEewhEREmJ7WKIiCihHDhwwHu7a9euMTmHx+PBO++8g+uvvx59+vRBTk4OzGYzcnNzMXLkSNx555349ttvvWtXg1mzZg3uvvtunHLKKcjPz4fFYkGHDh0wZswYPP7446ioqGj2GN26dfO2VNm7dy8AYP/+/Zg1axYGDx6M7OxspKWloW/fvrjjjjtQXFwc0vOsqqrCW2+9hd/+9rcYOXIk8vLyYLFYkJmZiR49euDaa6/FO++8A1mWmz3W/PnzvWOcOnUqgMbX8e2338Yll1yC7t27w2azQZIkLFy40Pu4cNvFuFwuvPLKK7j00kvRtWtX2Gw2ZGZmok+fPpg2bRq+/vrrkJ47ERG1LsyYEhFRQvFdR7pnzx7dj//DDz9g+vTp+PnnnzU/O3bsGFavXo3Vq1fjmWeewf3334+//e1vfo9TUVGBm2++Ge+//77mZ4cPH8bhw4fx/fff429/+xteeOEFXHHFFSGPceHChZg6dSqqqqoU23fu3ImdO3fipZdewrvvvouLLroo4DE++OADXHfddXA4HJqfuVwu1NTUYPfu3Xj77bcxePBgfPjhhzjppJNCHuPBgwdx9dVXY9myZSE/pjmrVq3ClClTNFOy7XY7ampq8PPPP+Pll1/Gueeei//973/Iy8vT7dxERBRfDEyJiCih+E7H/fjjj7Ft2zb0799fl2O//fbbuP766739JgGgd+/eGDJkCLKyslBdXY2tW7di69atkGUZdrvd73EOHTqE8ePHY/v27d5tAwYMwODBg5Geno4jR47ghx9+QHl5OSorK3HVVVfh9ddfx5QpU5od4zfffIMZM2bA4/GgS5cuOP3005GZmYk9e/Zg6dKlcLvdaGhowFVXXYUtW7YEDCaPHDniDUqLiorQv39/dOjQAampqaitrcX27duxbt06CCGwceNGnHXWWdiwYQNyc3ObHaPD4cCkSZPw008/wWQy4YwzzkCPHj3gcDiwbt26Zh/vz/fff48LL7zQW/FWkiSMGDEC/fv3h9PpxMqVK70B69dff41Ro0Zh2bJlyM/PD3hM3562jz76aFIWYSIiShqCiIgogSxevFgA8P6Xm5sr/v73v4v9+/dHddx169YJq9XqPe6QIUPEypUr/e5bWloq/vGPf4jHH39c8zOPxyPGjRvnPc6IESPEunXrNPs1NDSI2bNnC0mSBACRlpYmdu/e7fd8Xbt29R4vJSVFpKWliddff13IsqzYb8uWLaJTp07efW+88caAz3fRokXiscceE7/88kvAfXbv3i3OP/987/GmTZsWcN9XXnnFu5/JZBIAxJgxY8SePXs0+9rtdu/tRx991Pu4Rx991O+xjx07pnhevXr1EmvXrtXs98Ybbwibzebdb+LEiQHHK4RQ/B4FOrdefJ/nmDFjYnouIqJkxMCUiIgSzsSJExVBBQAhSZLo06eP+L//+z/x9NNPi1WrVgmXyxXyMUeNGuU91rBhw0RNTU1EY3vttde8xznttNNEfX190P19A5YZM2b43cc3MJUkSXz++ecBj/fJJ594901PTw/rNfDH6XSKk08+WQAQVqtVHDt2zO9+voEpADFo0KBmn7sQoQWmjzzyiHefnJwcsW/fvoDH++CDDxTj+O677wLuy8CUiKj1YPEjIiJKOP/73/8wefJkxTYhBHbu3InXX38dd955J0aOHIns7Gxcc801WLJkSdDjrVq1CsuXLwfQOL3z1VdfRXp6ekRje/LJJ723n3/+edhstqD7P/DAA8jOzgYAvPXWW80WGrr44otxwQUXBPz5hAkTvJVhm6bkRsNsNnunGNvt9pDXjD7++OPNPvdQCCHw3//+13t/1qxZ6Ny5c8D9J0+ejAsvvNB7f+7cuVGPgYiI4o9rTImIKOGkp6fjgw8+wGeffYannnoK3377rd+Arq6uDgsWLMCCBQswadIkzJ8/Hzk5OZr9vvjiC+/ts88+O+I1q6WlpdiwYQMAoH///hg8eHCzj7FarTj99NPx+eefo6qqClu2bMHJJ58ccP8rr7wy6PEkScLgwYNx6NAhAMDevXsxaNCgoI+prKzEypUrsXXrVpSXl6O2tlbxejb1jQWADRs2YOLEiUGPl5OTg/POOy/oPqHavn2797kYjUZcf/31zT5m+vTp+PzzzwEAS5cuDbifCKGqMhERJQYGpkRElLAmTJiACRMmoKysDEuXLsWKFSvw008/Yf369aitrVXsu2jRIowePRo//vgjMjIyFD9buXKl9/a4ceMiHs+PP/7ovd3Q0IDf/e53IT3Ot8psSUlJ0MC0uSATgKJAUXV1dcD99u/fjwceeADvvfee3+q8/hw9erTZfU455RQYjcaQjtec9evXe2/36dMnpOJLo0aN8t4+dOgQDh48iMLCQl3GQ0RE8cHAlIiIEl5+fj6uvPJKbzbR7XZj5cqVeOWVV/Daa6/B7XYDALZu3YqHHnoIzzzzjOLxhw8f9t7u3r17xOM4ePCg9/aePXvw7LPPhn2M5vqaZmVlNXsMs9nsve1bYdjX+vXrcfbZZ4fUR9VXTU1Ns/sEq4QbrrKyMu/tUPvWFhQUwGq1eqsmHz16lIEpEVErxzWmRETU6phMJpx55pl46aWX8N133ynWi77wwgtoaGhQ7O8bbEW6thSApq9oJJqC6EB8W5xEyuFw4PLLL/cGpfn5+Xj44YexZMkSlJSUoK6uDrIsQzQWQcQrr7zifWxza2AB6LK2tIlv5jstLS3kx/nuG0owTUREiY0ZUyIiatXOOOMMzJw5EzNnzgTQWMBnzZo1OOuss7z7+E7tVU8BDodvMDRp0iR89NFHER8rlt5//33s2bMHANCpUyesWbMGHTt2DLh/PAM73y8K6urqQn6c777qqdtERNT6MGNKREStnrqKbWlpqeJ+QUGB93ZTwBYJ3+M0FexJRN9++6339l133RU0KAWA4uLiWA8pIN9pwfv27QvpMUeOHPFO4wWAvLw83cdFREQti4EpERG1elarVXE/JSVFcf+0007z3l68eHHE5xk5cqT39oYNG8LK8LUk37WwoRRT+v7772M5nKCGDBnivb1jxw4cO3as2cc0tf4BgA4dOnB9KRFREmBgSkRErd7GjRsV97t06aK479v38ttvv42492f37t3Rr18/AIDT6cRLL70U0XFizWA4cXmvr68Puu9PP/2ENWvWxHpIAfXr18/bl9Xj8eCNN95o9jG+r3s0VZaJiChxMDAlIqKE8uSTT+Kbb74Jef/6+nr89a9/9d4vKCjAKaecothnxIgR3hYjQghcf/31Ea81vf/++723H374YWzevDnkx7bU9F/fysOLFi0KuF99fT1uueWWlhhSQJIkKcbwpz/9CQcOHAi4/6JFi/Dpp59678+YMSOm4yMiopbBwJSIiBLK6tWrce6552L48OF47rnnFK1e1FatWoUxY8YogsP7779fkTFs8swzz3in+K5duxZnnXUWVq1a5fe4hw4dwhNPPIF//OMfmp/95je/wfjx4wE0Fg0688wzMW/ePDidTr/Hqq6uxptvvomxY8fijjvuCPzEdTRx4kTv7VdffRX//Oc/4fF4FPvs2rUL5513HtatWxdWNdxYuOuuu9CpUycAQHl5Oc4++2xs2LBBs9/bb7+Na6+91nt/4sSJiiJXapIkef+bPXu23sMmIiIdsSovERElpLVr12Lt2rW4/fbb0aNHDwwYMAB5eXkwmUwoKyvDhg0bNIWMJk+eHDD4Gzp0KF566SVMnToVbrcb69evx2mnnYY+ffpgyJAhyMrKQlVVFbZt24YtW7ZAlmXceeedmuMYjUa88847OPfcc7F+/XpUV1djxowZuO+++3D66aejU6dOMBqNqKiowM6dO7F9+3Zvi5jLL79c/xfKj/POOw9nnXUWvv/+ewghcO+99+LZZ5/F0KFDkZWVhV9++QUrVqyAx+NBp06dcOedd+K+++5rkbH5k5OTg//973+48MILUV9fj507d2Lo0KEYOXIk+vfvD6fTiZUrV2LXrl3ex/Tq1StuU6knTJigWMcLKLPha9eu1WTtAeCzzz7jelgiogAYmBIRUUI5++yzsXr1akXQ+euvv+LXX38N+BibzYYHH3wQDz74IEymwJe2KVOmoGPHjpg+fbr3+Dt37sTOnTv97h+o52lubi6WL1+OP/zhD3jxxRfhdrtRXV2NL7/8MugYTz311IA/19s777yDCRMmYN26dQAaqxGrA/n+/fvj3XffxerVq1tsXIGcddZZ+PbbbzFlyhTs3r0bQgisXLkSK1eu1Ox7zjnn4H//+5+iom9L2rZtW9BKxnV1dZp1zwACZtWJiIiBKRERJZibb74ZN998M7Zs2YLvvvsOK1euxI4dO1BcXIyqqioIIZCRkYEOHTrg5JNPxrhx43DllVciJycnpOOPHz8eO3fuxNtvv41PPvkEa9euxZEjR+BwOJCVlYWePXvi9NNPx+TJkzF69OiAx7HZbJg7dy7uv/9+vPHGG1i8eDF+/vlnlJeXQ5ZlZGVloXv37hg8eDDOPvtsXHDBBcjMzNTrZWpWQUEBVqxYgRdffBFvv/02tmzZgvr6erRv3x59+vTB1VdfjSlTpiA1NTUhAlOgsXry9u3b8cYbb2DhwoXYsGEDjhw5ArPZjA4dOuDMM8/Etddei/POOy/eQyUiIp1JQggR70EQERERERFR28XiR0RERERERBRXDEyJiIiIiIgorhiYEhERERERUVwxMCUiIiIiIqK4YmBKREREREREccXAlIiIiIiIiOKKgSkRERERERHFFQNTIiIiIiIiiisGpkRERERERBRXDEyJiIiIiIgorhiYEhERERERUVwxMCUiooQ2f/58SJIESZIwderUeA+HqMXt3bvX+zfQrVu3eA+HiCgmGJgSUauyc+dO/Otf/8JFF12Evn37Ijc3FxaLBbm5uejbty+uueYaPPPMMygtLY33UImI2oyxY8d6g+fZs2cH3K9pH3//paeno7CwEP369cP555+PmTNn4v3330d1dXXLPZEQHDx4EB999BEefvhhXHDBBcjNzVU8j71790Z87H379mH27Nk49dRTkZ+fD5vNhh49euCKK67Ahx9+CCGEfk+EKNEIIqJWYNu2beLyyy8XkiQJAM3+ZzQaxeTJk8X27dvjPfSIvfLKK97nc8MNN8R7OHHD1yG4Rx991Pv6PProo/EeTrNa23gTwZ49e7yvWdeuXeM9HL/GjBkT0r9rKO/f6v/S0tLEtGnTxNatW1vuCQXQsWPHZse7Z8+eiI794osvirS0tKDHPuecc0Rpaam+T4ooQZh0j3SJiHT29ttv48Ybb4TdbvduMxqNOPXUU9GlSxe0a9cOFRUVOHDgANauXQun0wmPx4MPP/wQH3/8MYqLi1FYWBjHZ0BERGqXXnopOnXq5L3vdrtRUVGB8vJyrF+/HseOHQMA1NXV4aWXXsIbb7yBv/71r7j77rshSVJcxhyr2Tgvv/wypk+f7r2fnZ2N8ePHIysrC1u2bMGaNWsAAN988w3OP/98LF++HOnp6TEZC1G8MDAlooQ2d+5c3Hbbbd77ubm5eOihhzB16lTk5ORo9q+pqcFnn32Gv/zlL9i8eTPcbjecTmdLDpl0NnXqVK4tJUpCd955J8aOHRvw59u2bcPzzz+Pl19+GXV1dXA4HLjnnnuwe/du/Oc//2m5gapYrVaccsopGD58OIYPH46CggKcf/75ER9v586dmDFjhvf+lClTMG/ePKSlpXm3LV68GFdccQUqKiqwadMm/P73v8fLL78c1fMgSjRcY0pECWvlypW48847vfdPOeUUbNmyBXfffbffoBQAMjIycPXVV2PDhg2YN28erFZrSw2XiIh01L9/fzzzzDPYsGEDBg0a5N3+7LPPYu7cuXEZ07p161BTU4Mff/wRzzzzDP7v//4PvXv3juqYs2bNgsvlAgCMGjUKr732miIoBYDx48fjzTff9N5/7bXXsH379qjOS5RoGJgSUUKSZRk33HCD92LdqVMnLF68GB06dAjp8QaDAbfccguWL1+OjIyMWA6ViIhiqGfPnliyZAk6d+7s3TZz5sy4FEUaMmQITCb9JhwePnwY77//vvf+3//+dxgM/j+eX3jhhTjnnHMAAB6PB88//7xu4yBKBAxMiSghffDBB/j555+99+fOnRswSxrM0KFDkZubG3SfL7/8EjfddBN69+6NzMxM2Gw2dO3aFZMnT8b8+fO9wXEwU6dO9VZknD9/PgCgvr4ezz33HM4880wUFBQgJSUFnTt3xrXXXovly5c3e6wbb7zRu+3VV1/1W8XS3zQ4l8uFL7/8Evfddx/GjRuHwsJCWK1W2Gw2FBUV4cILL8RTTz2F2traZp9XoDYVP/zwA/7v//4PPXv2RGpqKrKysjB27Fj873//81s1csmSJbjyyivRq1cv2Gw2tG/fHhdddBE+//zzZscQSruYpUuX+n1NFi9ejGuuuQbdu3eH1WpFbm4uzjrrLPznP/8J6d8VALZv345//etfuOyyy9CnTx9kZGTAbDYjPz8fw4YNw913341t27aFdCzfyqVLly4FABw7dgyPP/44hg8fjry8PNhsNnTv3h3Tpk3Dli1bmj3WnDlzvNvmzJnj9/ck2qnQxcXFmDt3Lq699loMHDgQWVlZMJvNyM3NxaBBg3Drrbdi5cqVIT33WI/X9zhNdu7cibvuugv9+vVDeno6MjMzMXjwYDz44IM4evRoWMffunUr/vjHP2LIkCHIy8tDSkoKCgsLMXbsWDz++OMoLy8P63ilpaV46KGHcPLJJyMzMxOZmZkYMGAA7r77buzcuTOsY/kqKSnBn//8Z4wePRqFhYVISUlBu3btMGTIENx7772K99fWIDc3Fy+99JL3fmVlJZ599tk4jkgfixYtgizLAIDevXvjjDPOCLq/79/GwoULYzgyojiId/UlIiJ/xo8f761C2Lt3byHLsu7nOHz4sDj77LObrbDYq1cvsWbNmqDHuuGGG7z7v/LKK2Lr1q2iX79+QY/7yCOPNHus5v4bM2aM4rH79u0Tubm5IT02NzdXfPXVV0Gfl7oaqNvtFnfddVfQ4954443ef6+6ujpxySWXBN3/j3/8Y9AxhFKVd8mSJYrXxOFwiJtvvjnoeYcOHSrKysqCnvvKK68M6bWUJEncddddwu12Bz2eb+XSJUuWiGXLlolOnToFrS793//+t9ljNfdfNNWM77333pCrYV9zzTWirq4uruP1PY4QQsydO1ekpKQE/Tto7u9bCCFcLpe44447hNFoDDr27OxsMX/+/JDG+sEHH4js7OyAx0pJSREvvPBCWFV5PR6PmDVrlrBarUHHaTKZxMyZM3V7b42kKu+SJUvCPs+gQYO8jz/55JMjH7COfP99gPCq8l577bXex91yyy3N7n/gwAHFuX755ZcoRk6UWFj8iIgSjsPhwIoVK7z3r7nmGt0rMB4+fBijRo3Cr7/+6t3Wo0cPjBw5EikpKdi2bRtWrVoFAPjll18wbtw4fPHFFxg1alSzxz548CDOOecclJaWIjs7G6NHj0aHDh1w9OhRLF68GFVVVQCAP/3pT+jfvz+uvvpqxePPOeccpKenY8eOHfj2228BAH379sXZZ5+tOVevXr0U9+vq6rwZm5ycHAwYMABdu3ZFeno6nE4n9uzZg5UrV8Jut6O8vBwTJkzAd9991+y39E0efvhhPPXUUzAYDBg+fDj69+8Pt9uNH374wdu775VXXkGvXr1w//3344orrsDnn38Ok8mEUaNGoWfPnqivr8eSJUtw6NAhAMA//vEPDB06FNdcc01IYwjFLbfcgldffRUGgwEjR45E3759IcsyVq5c6c1CrVu3Dtdffz0+++yzgMfZt28fAMBkMqF///7o1asXsrOzYTQaceTIEaxZswYHDhyAEAJPPfUUHA4HnnvuuZDGuGXLFjz44IOora1F+/btMXr0aOTm5uLAgQNYvHgxGhoa4PF4MGPGDAwaNAinnXaa4vGTJ0/GwIEDsXr1am/FzuHDh2PEiBGac6kfG46SkhIIISBJEvr06YM+ffogNzcXZrPZWz216e/o7bffRnV1NT755BPN32xLjdfX/PnzceuttwIA+vTpg2HDhsFms2HHjh1Yvnw5hBAoLy/HpEmTsH37dmRlZfk9jizLuPzyy7Fo0SLvtnbt2mHs2LFo164dSkpKsGTJEjidTlRWVmLq1KmorKxUrJFX+/TTT3HVVVfB7XYDaFx+MGrUKPTu3Ru1tbX4/vvvUVpaiptvvhnPPPNMSM/X4/Hg6quvVkwN7dSpE0aMGIH8/HzU1tZi1apV+PXXX+F2u/HXv/4VZWVl+O9//xvS8RPBlVdeic2bNwNo/BuqrKxEdna2Zr+pU6fi1VdfBQB07do1qt6iseS7TnTo0KHN7l9YWIiCggIcPnzY+/iePXvGbHxELSrOgTERkcYPP/yg+Eb4008/1f0cF154off4aWlp4q233tLss2bNGtG9e3fvfp07dxYVFRV+j+eb5WzKztx///2a7FF5ebkiG9y9e/eAGYtI+nfu3btX3HHHHWLVqlXC4/H43aeqqkrcc8893mP37t074L6+mQCz2SwkSRJ9+/YV69evV+zncrkUmdScnBwxZ84cAUCceeaZYvfu3Yr96+vrxVVXXaXb6+CbMW16/YcPH67pYyvLsnjqqacUv1/fffed32MKIcQDDzwg3nnnHVFVVeX357Isi0WLFon8/Hzv8X744YeAx/PNKqWkpAij0Sj++c9/CpfLpdhv3759YuDAgd59x40bF/CYse4L+ve//1288sorQbPL33//vejZs6d3HK+//nrcxuv7b5uSkiLy8/PF559/rtnvu+++E5mZmd5958yZE/CYjz/+uOK4DzzwgHA4HIp9SktLxXnnnafISK5cudLv8Y4ePSrat2/v3XfQoEFi27Ztin08Ho94/PHHhSRJwmKxhJQxnTVrlne/Dh06iPfff9/v39U777wjsrKyvPsuWLAg4DFD1VIZ0y+//FJxjC+//NLvfr7vybHu/RpNxtRms3kf5+/31J/hw4d7H/P3v/89wlETJR4GpkSUcF5//XXFRX7v3r26Hn/x4sWK43/yyScB992zZ4/iA1ygD6/q6bcPPvhgwGMeOnRI0UQ90IfXSALTcMyYMcN7/M8++8zvPuoPXPn5+QGbu7vdbtGnTx/F/v369RP19fV+96+urhbt2rXz7rtq1Sq/+4UbmAKN069ramoCPvcrrrjCu++MGTMC7heqlStXeo931VVXBdxPPZ113rx5AffdvHmzdwqtJEni4MGDfveLdaAXqj179ninj44YMSLgfi0dmG7cuDHgvv/5z3+8+/bt29fvPlVVVSI9Pd2737333hvweHa7XRE0BPpCYebMmd59CgoKxOHDhwMe8//9v/+neE6Bgqw9e/Z4pxm3a9dO7Nq1K+AxhVC+D/br1y/qKb0tFZju3btXcYzXXnvN736tITCtr69XPG7dunUhPW7ixImKL0mIkgWLHxFRwmlqqt7E3zStaMybN897e9KkSbjooosC7tutWzfMnDnTe//555/3W9zHV35+Ph555JGAPy8oKFCcc/Xq1aEMW3e+xZW++eabkB4zc+bMgJWRjUYjrrrqKsW2xx57DDabze/+GRkZMXsd/va3vwVtPn/TTTfpet6RI0eiX79+AOCdft2cQYMG4ZZbbgn484EDB2L48OEAACEE1q5dG/U4Y6lbt24YN24cAGDNmjVxqZiqdsstt+Dkk08O+PPrr7/eW2F1586dfsf8v//9z1sorKCgAH/6058CHi8lJUXRX3PJkiWaAkZCCEX/yUceeQTt27cPeMz77rsPXbt2DfjzJk8//TQ8Ho/3mD169Ai6/7hx47y9N7dv347169c3e45EoJ5uXVFREaeRRE9dgC7Qe6Wa736hFLEjai24xpSIEk5NTY3ifrAAIxJLlizx3vYNUAK58cYb8eCDD0KWZZSWlmLnzp3o27dvwP0nTpzYbP/UIUOG4J133gGAmK19crlcWLVqFTZu3IhDhw6hpqbGu54NUL7OGzZsCOmYV1xxRdCf+/YatNlsmDBhQtD9Bw4c6L29Z8+ekMbQHKvViokTJwbdZ8iQId7bob7+P//8M9auXYtff/0VVVVVcDgcii8pmtYOl5eXo6SkRNHawp8rr7yy2XMOGTLEGzgnwhq5ffv2YfXq1fj5559RWVmJhoYGxWvQ9G8ohMDGjRsxevToeA0VQPOvcUZGBnr06IGdO3dCCIHi4mLF7zDQWNm5ybXXXtts8DBixAgMGjTIuw5yyZIl6NOnj/fn27dv966vNplMuO6664Iez2w247rrrsNjjz0WdD/ftdLNHbPJ+PHj8eWXXwIAli1bFtIax3hTXw/U14sm8+fP91ZIT1R2u11x32KxhPS4lJQU7+2GhgZdx0QUTwxMiSjhqPuO1tbWBixKEq4DBw7gyJEj3vuhFP3Jz89H7969sWPHDgCNRXOCBabqD7b++Law0Tuz1NDQgL/+9a94/vnnQ26FEcp+WVlZKCoqCrqPb0uf3r17w2w2B92/Xbt23tt6vQ59+vRp9rzhvP6ffvopZs2aFVZG6ejRo80GpvH+PQnHjz/+iAceeAA//PBDszMGmoTbhiUW9HiNff/dQy0SNmrUKG9gum7duoDH69u3b0gzQk4//fSgPy8vL/e2f7FYLIqWPMH4tjkqKSkJ6THxpg5EMzMz4zSS6Km/wHQ6nSE9zuFweG+HmmUlag0YmBJRwvENVoDGfnV6BaZlZWXe2zabDfn5+SE9rlu3bt7AtLkP3KGM1TdwCrWfZigqKiowfvz4kDOgTQJlHXyF8rx8G8+Hu79er0O4r79vFllt9uzZIX/I96XX6xmr35NwvPzyy5g+fXrIAWmTUF6DWNPjNfZ9zwhlSi0ARc9f9fuF7/G6dOkS0vGa26+0tNR72+l0RtTfs7VMiW2amdBEfb1oTdTZ31Czn7776T2jiCieuMaUiBKO74c6QPmtfrR81+OkpaWF/DjffZv7wK13a5tw3H777d6g1GKxYPr06fjoo4/w888/e6fyisbCd4qps00N3oMJ93nF63XQ67xff/21Iig9/fTT8d///hfr16/H0aNHYbfbva+lEAJjxozx7huL1zMetm3bht/+9rfeoHTAgAF4+umnsXr1ahw+fNg7lbfpvxtuuMH72FBeg1jT4zWO5D0j2PuF7/FSU1PDPp4/6mAtEsG+oEkkTV8QNgm05r01sNlsioxnUwuY5jRNBQdad2BOpMaMKRElnOHDhyMlJcU7XWnVqlW48MILdTm277fLdXV1IT/Od1/1VONEceDAAbz99tsAGnsifvHFF95iNP4kQkYrkf3jH//w3r7pppvw4osvBg10kvH1fOqpp7wBy/nnn49FixYFXQeXjK9Benq6N/AL9T0j2PuF73tQfX192MfzxzdwzczM1CVQTVRN/aWBxoJrTQXCWqs+ffp4v0wsLi4O6TFN/ZUBBF1WQtTaMGNKRAknJSVFsZarKdjSg+/U3YaGhpDXwfkWnsnLy9NtPHpavHixN7N14YUXBg1KgdA/BLVFHo8H3333HYDGIP+xxx5rNvvm+2ExWfhWGP5//+//NVucJRl/p3zfM0L9Nw72fhHJ8Zpb/1lQUOC9XV1dHXLA2xq999573tuDBw9u1WtMAXireQMIaR37wYMHFZlV38cTtXYMTIkoId16663e2zt37sQnn3yiy3E7deqkaM2wYsWKZh9z9OhRb2ERAC1WuTLcaYgHDx703g6l6Mv3338f9pjaiqNHj3oLkbRv3z5oOw+gccprvIr9xHJKcDi/U1VVVdi0aVOzx2wNU5h9+VZwDuX9Qr2f+v3C93g7duwIKbv5448/Bv15x44dFcW2Qh1na/PVV19hy5Yt3vvXXHNNHEejD98vEJcuXdrs/k1fmAGNa4979uwZi2ERxQUDUyJKSJdffjl69erlvX/rrbeisrIy7OOsW7cO5eXlim2+HwRCaScwf/5873q5wsJCReuHWPKt2BhK4RuD4cRbenMZk/r6erz22muRDy7J+b6WoRQkmTt3biyHE1S4vyfhCOd36sUXXwzp/LEcbyyMHz/ee/vtt9/WtPhQW7t2rSJAV89c6Nu3r3ddpNvtxltvvRX0eKHsAwAXX3yx9/Zzzz3X7P6tTXl5OaZPn+69n5ubq/gCs7WaNGmS9+9s586dWLlyZdD9fa9Zl1xySSyHRtTiGJgSUUIyGAyYP3++t2rr/v37cfbZZytavQQjhMALL7yAUaNGada9/fa3v/Xe/vDDD719/PwpLi7GX/7yF8VjWyrj49vG4sCBA83u3717d+/tzz77DB6PJ+C+99xzT8iFNtqi3Nxcb0XXqqoqRZZCbfny5XENTMP9PQmH7+/UokWLAu73yy+/hFy9OJbjjYXrrrvOuy60tLQ06PN0Op244447vPfHjRun+SLLYDAo+ifPmTNHUalX7Yknngipx+8999wDo9EIoPF9LZwenr7FdBLRrl27MH78eMWU5r///e9JUZG2oKAAl112mff+fffdF7AC9ldffYWvvvoKQOP62hkzZrTIGIlaCgNTIkpYZ5xxBv71r395769btw4DBw7E008/HTB7WltbiwULFuCUU07BLbfc4je7MW7cOEUxpSuuuALvvvuuZr+ffvoJ55xzjvdcnTt3xu9///vonlQYBg4c6L29atWqZtejjR8/3lvlc9euXbjhhhs0r1N1dTVuueUWPP/882FVJW5rDAYDJkyY4L0/depUrF69WrPfO++8gwkTJsDj8cTt9fT9Pfnqq690LXwzceJE7+0//OEPfr/E+fbbbzF27FjU1NSE9BrEcryxkJmZiVmzZnnv/+1vf8OsWbM0PScPHz6MSy65xJvxMplMeOyxx/we8+677/auPT106BDOPfdcTbVZWZbxz3/+Ew899FCza3sBoEePHnj44Ye992+66Sbce++9AaeYu91ufPXVV/i///s/xfTiRLJ9+3bceeedOOWUUxRZ6D/84Q+K4N6fqVOnQpIkSJKkqfSeaP785z972xb98MMPuOGGGzQFr5YsWYLrrrvOe//6669H//79W3ScRLHGqrxElNB+97vfIScnB9OmTYPD4UBZWRnuuusu3HPPPRg2bBi6dOmCnJwcVFZW4sCBA1izZo3iA6PFYkFKSormuK+88gpGjRqFX3/9FbW1tbjqqqvQq1cvjBw5EhaLBdu2bcOqVau831ynpaXhrbfeQnZ2dks9dXTo0AFnnHEGVqxYAbvdjsGDB+OCCy5Ax44dvVO/evTo4Z3OlpOTg3vvvRd/+tOfAABvvvkmPv/8c4wcORKdOnVCaWkpli5dirq6OphMJjz33HOK9h6k9PDDD2PhwoVoaGjA3r17cdppp+H0009H79694XQ68eOPP3ozWTfffDN+/vnnoJnVWBkxYgQ6d+6MkpISlJaWom/fvjjvvPOQl5fnze4PHz4cV199ddjHvuuuu/Diiy+irKwMx44dwwUXXIChQ4eif//+kCQJ69atw9atWwE0Vu1t3749Xn/99biNN1buvfdeLFu2DB9//DGAxkJQc+fOxbhx45CTk4OSkhIsWbLEW0kcaKzqPHLkSL/Hy8vLw0svvYTLLrsMHo8HGzduxIABA3DmmWeid+/eqK2txffff+9d4/uPf/wDd955Z7PjfPTRR7F37168+uqrEELgn//8J/79739j2LBh6NGjB1JTU1FdXY29e/di06ZN3uDHN4vdkp5++mlFMSO3243KykqUl5dj/fr1mmUYNpsNjz/+OH73u9+19FC9nn/+eTz//POKbeovKSZMmKD5MmHGjBkBM5x9+/bF3LlzvVOVX3/9dXzyyScYP348MjMzvdejJieffDKefvppPZ4OUWIRREStwJYtW8TkyZMFgJD+M5vN4rrrrhO//vprwGMeOnRIjB8/vtlj9ezZU6xevTro+G644Qbv/q+88kqzz+eVV17x7n/DDTcE3G/NmjUiIyMj4NjGjBmj2N/tdovrr78+6PPJzs4WH374odizZ493W9euXf2eP5R9fC1ZsiTg2CJ9HULZJ9zzCiEUr0kgCxcuFKmpqUFfz1tuuUXY7XYxZswY77YlS5b4PV4o+/h69NFHvfs/+uijAff7+OOPhcViCTjGYL9jzVmxYoXIy8sL+hpceumlorKyMuS/g1iON5R/V1+h/pu4XC7xu9/9ThiNxqCvRVZWVkjvAUII8e6774qsrKyAx0pJSRHz5s0L++/wmWeeETk5OSG9V0qSJCZNmhTSeIPxfR2D/a6G+h7u+196erq4+eabxY4dO0Iej+/vYiivWah8/ybD+S/Ya9LkhRdeEGlpaUGPc/bZZ4uDBw/q9nyIEgkzpkTUKgwYMAAffPABduzYgU8//RTffPMNfv31Vxw9ehQ1NTXIzMxEQUEBhgwZgtGjR+PKK69sNgtQUFCAb7/9Fl988QUWLFiAZcuW4dChQ3C5XGjfvj2GDBmCSy+9FL/5zW+806xa2rBhw7Bp0yb8+9//xpIlS7B7927U1tYGXD9qNBrx6quv4sorr8R///tfrFq1ChUVFcjJyUGXLl1wySWX4KabbkJhYaGipQX5d8kll2DLli148skn8dVXX2Hfvn0wmUwoLCzEqFGjMHXqVJx11lnxHiYuvvhirF27Fs8++yyWLVuGffv2oba2NuBatXCcfvrp2Lp1K5566il8/PHH2L17N4DGSrCnnnoqfvOb3yim/MZ7vLFiMpnw73//GzNmzMDLL7+Mb7/9FiUlJaipqUG7du3Qu3dvTJgwATfffHPIGcgrrrgCZ5xxBv7973/j448/RnFxMSRJQlFREc455xzceuut6NevX9h/q3fccQemTp2K119/HV9//TU2btyIsrIy2O12ZGRkoKioCAMGDMDYsWMxYcIERUXfeLLZbMjKykJmZia6du2KU089FcOHD8e5556bsP2j9TR9+nScd955eOmll/Dxxx97/y46duyIoUOH4je/+Q0uvfTSVlfZmihUkkjkqwARERERERElPRY/IiIiIiIiorhiYEpERERERERxxcCUiIiIiIiI4oqBKREREREREcUVA1MiIiIiIiKKKwamREREREREFFcMTImIiIiIiCiuGJgSERERERFRXDEwJSIiIiIiorhiYEpERERERERxxcCUiIiIiIiI4oqBKREREREREcUVA1MiIiIiIiKKKwamREREREREFFcMTImIiIiIiCiuGJgSERERERFRXDEwJSIiIiIiorhiYEpERERERERxxcCUiIiIiIiI4oqBKREREREREcUVA1MiIiIiIiKKK1O8B0CtW2VlJb777jvv/c6dOyMlJSWOIyIiIiIiIofDgZKSEu/9MWPGIDs7O34DagYDU4rKd999h0svvTTewyAiIiIioiAWLlyISy65JN7DCIhTeYmIiIiIiCiuGJgSERERERFRXHEqL0Wlc+fOivsLFy5Ez5494zQaIiIiIiICgF27dimW3Kk/tycaBqYUFXWho549e2LAgAFxGg0REREREfmT6AVKOZWXiIiIiIiI4oqBKREREREREcUVA1MiIiIiIiKKKwamREREREREFFcMTImIiIiIiCiuGJgSERERERFRXDEwJSIiIiIiorhiYEpERERERERxxcCUiIiIiIiI4oqBKREREREREcWVKd4DICIiIiJKdEIIyLIMIUS8h0JJSJIkGAwGSJIU76HEDQNTHVVXV2P9+vVYu3Yt1q5di59++gm7du3yvoHt2bMH3bp1C/l4P/30E55//nksWbIEBw8ehM1mQ/fu3TF58mTcfvvtyMrKitEzISIiIiIhBGpra1FZWYm6ujoGpRRzVqsVGRkZyMzMhMViifdwWhQDUx2NGTMGGzZs0OVYf/7znzFnzhx4PB7vtoaGBhw7dgxr167F3Llz8f7772PEiBG6nI+IiIiITrDb7di3b5/isxhRrNntdtjtdpSVlSEjIwOFhYUwGNrG6su28SxbiO+3aFlZWRg7diw6dOgQ9nGeeeYZPPLII/B4POjYsSOeeeYZrFy5Et988w1++9vfQpIk7N+/HxdddBF2796t51MgIiIiavNcLhdKSkoYlFJc1dTU4MCBA5BlOd5DaRHMmOropptuQn5+PoYNG4aePXtCkiSMHTsWhw4dCvkYBw8exIMPPggAaN++PVatWoXOnTt7f3722WdjyJAhmDFjBo4ePYp77rkHH374oe7PhYiIiKgtEkJg//79cLvd8R4KEWpra3Hw4EEUFRXFeygxx8BUR7///e+jPsZTTz2F+vp6AMBf//pXRVDa5Le//S3eeOMNLFu2DAsXLsT27dvRr1+/qM9NRERE1NbV19fDbrcrtqWkpKBdu3ZITU1tM9MqqWUJIeB0OlFdXY3q6mpFlrSmpgZOpzPp15wyME0w7733HgAgNTUV1113XcD9pk+fjmXLlgEA3n33XTzyyCMtMj4iIiKiZFZbW6u4bzab0aVLF5hM/NhMsWU2m5GWloasrCyUlJRogtPc3Nw4ji72+JVPAikpKcGePXsAAKeffjpsNlvAfcePH++9/d1338V8bERERERtQV1dneJ+VlYWg1JqUampqcjMzFRsq66ujtNoWg7/yhLI1q1bvbf79+8fdN/OnTsjPT0dtbW12LZtmy7nP3LkCMrKysJ6zK5du3Q5N1FrIVd6UH3fEbjX2SFaoBaBDIG3ztyNFX0Ow2kM44RCYNz33+DsI6tggzN2A/SxJycfn/UZigpbWpiPlCAZJCAZerdJaHwuBgAGCTBKkJpuGxp/nogkAJ1y2qNf4UnoU9AF6dbUeA8pJgQkQABN/xBs/EFqQgjU1zQGphZT47RJs9kMu8Me7GHUBkiSBAmAFNEbuQSzxRzWIzIzM1FZWem9b7fbIYRI6j6nDEwTSHFxsfd2ly5dmt2/c+fO2L59Ow4dOqTLvPPnnnsOc+bMieoYRMmu5v4jsL/Rct9aLjnjEF4bE/4XQIM37MLt1R8B1hgMyo8KSyqeP+081Jlb6IStiXz8vwSTarbg5MIiDCnqgiGdOiMnNdwvFIiSjyzL2FfrAABvAGBNscBsNMZzWNTKeeTwvwYzm7WBrCzLMCbx7yID0wRSU1PjvZ2ent7s/hkZGYrHJvu8c6JE4FzTst+ab+xfGdHjTtu0Xd+BNOOtHmcwKG0FOmfnYEhRVwwt6oI+7QtgMiTvBxyiSPi2/muSzBkqSlz+imz5+/1MJgxME0hDQ4P3dijZz5SUFL+PJaIYamjZi0Jp+8j+trtVlQEtlAArSWuHLzsNbpmTUVisJhMGduyEIUVdMLRTF+SlZzT/ICIiojhgYJpAfIsdOZ3NrwlzOBx+Hxup2267DVdeeWVYj9m1axcuvfTSqM9N1FoIh3JOZtoDuTAPSgmwd/QOy6sU93+D/ugrBZ8d4XK60VX+h2Lb2pSzcKT9UN3HBwCfFRkh+3yza5IFxpR6YAwlhs8uAMw+71/OesBeG3j/GDKZ3cjMr0FWXg3SsuujWvLqcRvgtJvhcpjgcpjhspvhcpog5JapOZiTW4CBQ05D+45FMBpDv9TXVFWg9MBelJcdgkjAhu4CgMtgg92UBSFF8loKGGUnjLILknd+tVCtGGv8xfWuQk3uBAWpSJIB7fI6AgAyMhqLz9TW1bbs9EkB5e9dgpcqFRB+/0ya1mPqmXCWPY0vjhEypOb+OI0mCKMZ0S3ud0GCBx4hwSUDLjn8YxkkCWaTGblJ3upFDwxME4jv1Fx1qXJ/fPfxfWyk2rdvj/bt20d9HKJkJhzKC2HK+FRYzoxNoRiHx42yhfWKbRed3R99svOCPm7jD7+iKLVSse3kP96J1NPP0XuI2LR/L4rff0Ox7YqRZ+KGM8Y1+1iHU+C5DzzwnZl06VkGdO/Ucp/CZOcReKpWwV35I+T6nQgtCjFAsrSHZM6DwZIHyZwH6fj/DZb8xvvG6L8sjJSQZdTVVgAhTvkymswwmiwwmSxIz8pDxy69YjzCyFQcq8ZPq7bg2JFjAFzN7m8wGJDTLhPtcrPQLi8buXnZyMhMh8HAaZkUmNvtxi+//KLYlpWV06JVeV07HED9ib9fQxcTjHmJ+5FdCIFyRwOONNTB33tojtmGgtQ0GCL6MkmpeMcR2OsakzfpZgfapzth8gRZYiNJQEY7IKc9JEv4y01k1zEIV1XjHSPg8NhQ4cgFDE54hAMOtyukq0ZOGF8QtmV8lRKIb8Gjffv2Nbt/SUkJAKCgoCDpG+4SJQxVYIqU2H3IPVhXo7ngdUrL9Luvrz2L12KA0a3YZuszSMeRNZKFwIs/fKvYlm1Lw5XDzgjp8cWHBIQALIY69M/5Gu2sJejokmDf1zKBg7Dvh9zwa2g7SyYY00+GMes0mLKGQzJlxXZwUXA6GoIGpZJkgNHcGIgaTeaEXz/ndLqwecPP+GXH3oDrqyRJQlZ2BtrlZSE3Nxvt8rKRlZ0BozHBU01EfkiSKrxL8Ky9JEnIs6Yi1WTGgbpquGSP4ucVzgbUe1zolJoJa5QBvtlihP14N59aVwosljzktTMAFYeB+hrtA4QAqsuB6nKI9GwgpwBSGFXHJcmiePnNBheMUgogUpCXmQGTUaDB6US9y4F6pwNOt9vvcVL5OT0kDEwTyIABA7y3m2sBU1JS4i2W5Ps4IootYVd+QpBiGJjur1NW/822WJFubv7iduyntYr7DkMqUnP0nw3x3c6t+OVIqWLblNPOQqoltKnNew42Tsk6u+hpdEnfAACQq3QeZDQkC4yZQ2DKOg3GzGGQjIlftVaWZbic2nXJRqMZRrMZJpMFksGY8MEo0JiF2bv7ADas3Q673eF3n8JO7dF/UE/k5GbBZGIhJ0oSBgmKaDTBA9MmqSYzumfkoLS+FtUuZRbT4XFjT00FCmzpyEmxRvweZE5Rhi4upxtSai6QmgFhr28MUGsr/T+4thKorYTIK4SUUxDaCQ3KyrgGyQ1JkiGEATV1QLssCelWK9KtjdlYt8eDeqcD9S4nGpwOuDweSJBgDeHaTQxME0qXLl3QrVs37N27FytXroTdbofV6n/awZIlS7y3x4wZ01JDJGrThFto2n5I1thlZNSBaVF689lSj0eGZ+9OoPOJbY7ck5CmcyDidLsxf8VixbbOObm4YMApIT1eCIG9pQIFtp+9QWlCMNhgzBzWGIxmDIFkbF2Vhl2Oes221PQcGFpZe4GKY9VYu2ozjh6p8PvztHQbhg4fgE6dC1pFkE0UFvWvdOIt9w7IaDCgU1oG0p1mlNbXKlafCggcaqhBnduJjqkZMPmpOtscs0UZujgdJ7KzkjUV6HgShNMOVBwBao75nz1SfggiKx9SKOeXtC1bjJIbbmGB2wPUNwDpPglYk9GITFsqMm2pEELA5fHA6XbBGMFzbYsYmCaYK664Ak888QTq6urw5ptvYtq0aX73e+GFFxSPIaLYU2dLAcR0Ku/+WmX6sHMI03j3bjuMAmOZYltKL/1nVXy0YTWO1CgD55vOPBumEAOgsgqgzg6c1ulz3ccWNmM6TJkjYMw+Dcb0wZAM4TVBTxSy7IHLqcxSmCzWVhWUOp0ubF6/E7/s3Ov386TBYED/QT3Qb2BPZkgpealjmFbWIkSSJGSn2GA7PrXX7lFOb61xOdBQ40an1AykhZlJNKco/+5dDjeEEIovqCSLFSjoApHbEag8AlQdBXyLuQkZ8LgBQ/PnliQDIJkAceI5GCUX3Gh8bJ0dsFoETCbtZwFJkmAxmWBpwfXJrR1fqQRz11134dlnn0VDQwNmzpyJ888/H0VFRYp95s2bh2XLlgEAJk2ahP79+8djqERtj3p9KWI9lVe5XqYorfl1jVtWFKNrqjLLZOs7UNdxVTXUY8Ga5Yptgzp1wciTQi+as6dUIM1Uju6ZKxXbjZkjYLAWBXiUziQzjGn9YEgfAElq/UGO067NllpS4leEKRxCCOz5dT82/LQdDrv/qvSFRe0xdPgAZGQm/pRqoqi04oyprxSjCd0ycnCkoQ7HVLM53LIHxbVVyLOmIt+aGvLMB/VUXtkjQ/bIMKq+qPJ4PNi6bTvWrFmDNatXY+2KH7Bp5y9wuRoDzDFnjcbS774P6ZySZIbwCUx/+P5rvP7mh1i3diVKDx1AiiUFnTsX4fzzz8e0adPQt2/fkI5LWgxMdbRr1y5vwNjk0KFD3tvvvfce8vJOVNNMT0/XZDs7deqEv/zlL/jDH/6AI0eOYMSIEZg5cyZGjBiB2tpavPvuu5g3bx4AoF27dnjyySdj+IyIyJewaz8dtOQa005pzVff3rx8D0anHVNu7NxHz2HhrdU/oM6pXPM3ffQ5YU2p3HNQxoB2X8Ig+bymhhSkdP4dJFO6XkNtM2SPB26X8t/EbLHCYEj8gLviWBXWrtyCo2X+p+2mp6di6IjGabtEbYImYxqXUejCIEnokJqONJMZB+tr4BG+11GBo/Y6SADybaF94WQ2G49XhzrxorgcHkVgunDhQkyZMgX19dov63xOHcaTMANyA6qrazDjjll4571PFT9uqK9HZWUFNm/ejKeffhpz5szBgw8+GMYJqAkDUx0tW7YMN954Y8Cf//GPf1Tc79q1q99puHfffTcqKyvx//7f/0NpaSnuuOMOzT6FhYV4//330aNHj+gHTkQhEU4/GVNrbAJTWQgc0KwxbT5jum/1dmT2UAYoUufeuo3rQMUxfLLpJ8W2sX0GoHdBYcjHaHAIHDnmxDk9lRV9TTljGZRGyOlnbak5JTZtjPR0cP9hfL94rd9qu0ajAf0H9US/gT1atockUbypv+RrpRlTXxmWFHQ3mXCwrnGNqa8alyPkwFQySDBbjHA5TmQwXU43rGknpuVWVlYGD0oBhBWZSha4XC5cfs3tWPLdj97NffsNxKCTh8Jht2PVqh9w+FApXC4XZs6cCZfLhUceeST0cxAABqYJa86cOZg4cSLmzp2LJUuWoLS0FFarFT169MDkyZNx++23Izs7O97DJGpbWnCNaVlDHZyqkvvNrTE9vK8StqpixTZhsgDtu+o2rldWLIbHZ62O2WjE1BB6lvoqLhXokbkMNpNyqrI57yJdxtjWyB63n2ypDYZWUGxj2+Zf/QalnToXYOjwAUjPSPzgmkhvkkEZNrWyJaYBmQ1GdEnPwmHV1F45zCeoDkx9CyD5KigowPDhwzF8+HAMK8rDl98vwzOvvhX2uCXJjP/3t2e9QanVmoL/vvAKzr3wmhNjcDrxz8cfxjNPPwEAmD17NsaMGcMCpWFiYKqjqVOnYurUqbodb9iwYXjppZd0Ox4RRUeo15iaG7+9jQX1NN4UgxF5zfRe27JiL7qo1pdKRT0h6ZRt2nqwBMt37VBsu+SUESjIzA7rOHtKZQxq95limzH9lJZbW5pkHJq1pVKrWFsqyzKOlVcqtqVnpOLUEQNQWMRpu9SGqS8ryRKZorEgULrZjGM+36WF++zMKSag5sQBXE5lcaULLrgAxcXF6NKly4lz7N6MVes3RjJkHDlagaf+/Yr3/pN/fwi/mXIVquqApk5WFosFD876O0oPluDddxdACIEHH3wQK1asiOicbVXif51KRJQg1IFpy64vzWx2DefmH4vROU0VmOq0vlQIgRd/+EaxLdNqw9XDR4V1HFkWaKjYilzrPsV2U/6EqMfYFnk8bnhU0+LMKdbQ2iDEWVVlLTwe5RzFcy8cxaCUKEmKHwUiqZ5g2BlTdS9TVca0Q4cOiqC08aSq98Qwzvnqa/9DXV3jF4C9e52Em2+6BpBdyEg93nLWx8xZj3tnq/z4449Yv359yOchBqZERCHTZEwTrIfplhXFmoypXoWPlu3ajh2HDii2XTdyNNJTwuvzefgY0DtDmS0V5o4wZgyNeoxtkdNep9rSOrKlAFBRrmyHlJZmg9WWEqfRECUQdbSTbIGp6ktWEWbO1GzRtowJ4aRhncPXRx995L19/ZTLGscvXDAaJEUPUwDoUNgFY8aM997/8MMPIz5vW8TAlIgoVKo1ppIllj1MVYFpM+tLayoasGfrYXTRZEyjL3zk8njw8vLFim2FWTmYMOjUsI914GApumWsVWxLyZ/Q2CuOwuJxu+BxuxTbLCm2VvNaqqfx5uQ2X9yLqE3QTOWNyyhiJtqZypqMqdPjd626QoSzSOx2O1auPNHWbMxZIwEAQjS+99pSALNqYeRpZ4z13l68WHntpOBax9WLiCgBqNvFxKoiLwBtRd5mephuXbUPKQYH2ltrFdv1mMr7yaa1OFRVqdh246jxMEewdtVU+wUk6cQHCI+wwdQuvOJJ1EhTiVeSYG4l2VIAOHZMmTFtx8CUqJH607mcXJGpwU/GtNnA0oc5RXXtEQIup/8CSF7qjGmI59u5cyfk4wX/JEnCkMH9G38gu7zbMtOUhx948okZQNu3bw/pPNSIgSkRUYjU7WJaco1pUTM9TLes2IvOqZXKjZIEFEbXUqrG3oC3Viv7M/fvWIRRPcNvIF5XV48uVuW3x8608ZCMrLwaLv/Z0tCb1MebLMuoPKb8HWdgSnRc0mdMte9T4TxFo9EAg1EZwjQ7nTfC98adO3d6b7fPz4XVeny5gTjx/ms2SUj1WdXSqejE+tZjx46hrKwsonO3RazKS0QUKnW7mBgFpjUuByqddsW25nqYbva3vrSgK6QoM2gL1ixHjb1BsW366HMiCoDKS5Yi13giyyeEhKxOF0Y1vrZICAGHam2pJBlgtoS33jeeqqu0hY/a5WbHZzBEURKygChvJmMXzvEqZcgVPsezSzCUhbCOMkFJuUZFBXt/lw8hRMjBoyRJMKcY4ag/8R7SfMY0slxceXm593ZB+zzvbSE7IYTwXgvTbIDdCXg8QPv2HRTHOHbsGPLz8yM6f1vDwJSIKEQtVZVXvb5UAlCYGjhj6nS4sWPtfpzaSd+KvIeqKvDRxjWKbaN79UO/juG3dRFChrXhc8U8naPuoeiWWhjVGNsij9sF2aP8kNq4trR1ZEsB4Jiq8FFqmg0pVkucRkMUHVHuwZGuv8Z7GAmrfXEPSPknQg5/GVMZAuEsDjFbTHDUn8hahp8xDS1HW1t7YnmMsjibDMCDplDKIEnITBWoqAGsVlvAY1BwDEyJiEKkCUxjVJVXvb60IDUdliDrOX9edwAuh9tPRd7oCh+9umIp3J4T30KbDAZMPSOy9aDu6g1IMyir+rozLopqfG2REEKztlSSDDC1omwpoA1MOY2XqO3w1/476gJIzQam6nYxoZ3Hbj8xe8liUX15JrsA44lxpFgkWC0CsqysLl5Vo+41TYFwjSkRUajU7WJilTHVrC8NXpF3y4piAPBTkTfyjOnOQwex9Oetim0XnzwMhdntIjpeXemnivvH7EUoKDo54vG1VR63U5sttbaetaVN1BV5GZgStR3+15iGF5laVAWQwi5+FOL5rNYTX/o5ncr3XiFc6t2RkQq4nA7VmWxhFXdqyxiYEhGFSFOVN0aBaUmYrWI2/7gXRsmDQpsyCxVpYCqEwIvLvlFsS7Ok4NoRZ0Z0PNlxEGaHssl4sf1CZKTxEhQOIQScdlW21GCAydy6en+y8BFR29b4RZqqMm+YgZvZEmXGNETp6ene23a7MuBsqszry2iUYJSUdRlSrOmoa9DsSn5wKi8RUYi0U3njnzGVZRlbfyxGoa0KJoOqC3tRr4jOv3L3z9hyYJ9i2zUjzkSmLbLqua4yZbbU7kmDlD0momO1ZW6XE7KszAq0pkq8TVj4iJKNlGtE++LoKqD7kutleHb5BD0SYB7Uur6A8iXlapeiGNC4SrOJrNkjOHXLGI9bhsctw2gKEIBG+D6Zm5vrvX34iKq6rp+MKQBUVRxS3M/OaYcGJ5BmE63u/bqlMTAlIgqROjCN1VReTQ/T9MCB6b6dZag+1oBBeZXKH2S3h5SRE/a5PbKMl5Z9q9hWkJmFSYOHh30sABCeOriOLVF8N76j4mx0O7n19NtMBP7WlhoMxlaXLQVY+IiSj2SQFMV9otYgQ5SrZujkGZMqqJEkSbGwNNyMqcliagw2fR7ncrphNAV4L9GsMQ3tfH36nJh5dOTIUdjtDm/LGH9TeQGgpKTEezsnpx26FOUj3Yak+veLFc6jIiIKVQtU5XXJHhyqV1bwK0oLPM2xaX1p57RjyrFFOI33lyOlOFCpPNbUM8bBYorsQ5f72GJI4kTxCFlI+KXmAnTMDfIg0nC7HBDqbGkrXFsKsPARUXP8/lkn2RLFaFu1GgwSTGZ1L9Mg60wjfK/s06cPDIbG8wghsGHTthM/PN4yRm3dunXe2/369UNmmgSDv4pPpMHAlIgoRMIe+8C0tK4GsuoSHWwq7+YAhY8irchbXlujuJ+XnoGzeg+I6FhCeOA6+pli296aEcjPz+dFOgz+1pYaDMbAmYEEV8HAlCg4f5/Oky0wlaJbYwoAFnVlXmeQdaYRrjG1Wq047bTTvPe/+361z08FILTn/O6777y3zz57fETnbasYmBIRhUg4Y98upkQ1jTfTnIJMS+DpmltW7AUATauYSDOm9apqgtmpaTBE+E2zp/onCOdhxbbNxybgpEIGpeFwuxwQQjmtz2JNa5XZUlmWUXFMGZjmMDAlUvL3tx3uIswEZ1DlTNVfyIZC2zImSMZU/WVoGIHwpZde6r392psfqI6jnM5bUlKCb789sRzG97HUPAamREShUmVMYdE/MAhnfWnZgSqU7q2ABIHOOvUwtbuUF1mrOfKsnDpbWtZwEg7V90W3jq0voIoXv9lSowlGkzlOI4qO/8JHDEyJFPxO5U2ulKk69o7k6Zkt6pYx+mdMAeCGG25AWloaAGDnz7vx0vx3vD8Tqsq8999/PzzH+3+ffvrpGDp0aMTnbYsYmBIRhaglqvKGU5F364+N03jzUmphMykvyFKEgWmDy6m4nxphYCo3FEOu3aTYtuXYhShoJyE1RtWMk5HLafeTLW2da0sB/4WPmgqJENFx/j6dJ1nGVN3LNNw+poC/jGmwwDTy98z27dvjD3/4g/f+Xff+Ge++f/yL1+MZU5fLhQceeABvvfWWd7/HHnss4nO2VazKS0QUIuGIfR/T/aoepp0iWV9qywByCyM6f4NqKq/VEllgqs6WNrgz8Wv1GRg+oHUGVPEghIBLVYnXaDTDaGyd2VKAhY+IQuLnbVII/4nU1kqPNabajKkHQjS2ZJkwYQIOHjx44oeyB4dKS713127aglNOOUVzzM8++wyFhdrr56xZs7B8+XIsXrwYDQ12XHv9nfjr489hyJDBcLgkfP/99yj1Of6cOXMwZgzbooWLgSkRUYhaol2MOmPaOVhgejxjqp3G2yvijFqDaiqvLYKMqXDXwF3xnWLbtopz4REWnNSRE3VC1bi2VPk715qzpQALHxGFQpKkxijU988/yTKm6itBJE9PnTEVsoDb5YHZYsK2bdtQXFwc8LF19fXYuHGjZrvT6fSzN2A2m/HBBx/g5ptvwrvvNq4z3bx1JzZv3anZb/bs2Zg5c2a4T4fAwJSIKHQxrsorhNBO5Q2wxrSu2o7dmxq/nVVnTCMtfAQAdtVU3kgCU9exrwFx4jgeYcS2inNhSwEK2kU8tDbH5bQr7htN5la7thRg4SOisBgA+NbySbo1ptFnTI0mAwxGCbLHp5epozEwjYWsrCwseOtNTLt+AV5/80OsXL0epYfKYDZb0LlzZ5x//vmYNm0a+vXrF5PztwUMTImIQhTrNabljgbYPco1MoF6mG5bXQJZbhyPpiJvUWTrSwGgQfVtsS3MqbxCeOA++oVi2+7q01Hvbod+RezlFipZ9kBW/S6YLdY4jUYfLHxEFIZoG30mOO0a0wiOIUkwW0xwNJyY6eNyuIGMFOzdu1d5/Lpq4OCvJzaYzJBOGhj+SQ1mnDN+FM4ZP+rEJmsXSIbW2b4r0XBOFRFRiDSBaYq+b6H7a5XZJLPBgHxbqt99m9rEAP56mEaeMVUXPwq3Kq+nahWE66hi2+byCQCAk1iNN2Ru1VpfSFKr7VvaRFv4yMrCR0SBqN8uk2wqr7Yqb2SRt6YAkjNAyxj1CeXIXlBJMgKScm2rumUMRY6BKRFRqGK8xlQ9jbdTaiaMAUrcbzm+vjTDZEe2pUHxs0gr8gLawDTcqbyuo58q7h+u74Uye09IEtCVgWlIhBCaabxmc0qrXlsK+Flf2o7ZUqKANH034zOMWNGjjyngpwBSoMq86mtpFFOjJUm5pELdMoYix8CUiChEwh7bqryhri91uzzYvroEANBZnS01mYGOJ0U8hmim8nrqf4Vct12xbfOxCwEAHXMBWwyKRSUj2ePWtIgxmVt/ZlGdMc3JzY7PQIhag6TPmKrXmEZ2nJBbxmhStFG8oKrAlBlT/TAwJSIKUazXmIbaw3TXxlLY6xsvhOr1pSjsAckYefmAaIofuVUtYupcOdhTfRoA4KRCXm5Cpc6WSgYjDFH8myYCWRaoqFD+fnN9KVEQ6gSfnFwpU+0S2kin8iozps5AU3kN2mtQpNOHYVAFpsyY6oafFIiIQqWeymvROTANsYfpZsX60mOKn0UzjRfwt8Y0tCqwsuMg3JU/KLZtrTgP8vEae1xfGhohBNyqfwOzpfVP462pqoXHrfzAyMCUKDDNn3xyxaW6VOUFoKnA63F5IHv8ZEP9vYdGmDWVJOUXtoIZU90wMCUiCpFQt4uJU8Z0y4oTvdk0GdMoCh8B2sA01dL8FFIhBJwHXgTEiSlUbtmM7RXnAgDSbEB+TlTDajPcLgfUn0CTYRpveXml4n5qmhVWW+t/XkQxk/RrTJUinVirzpgCAQog+avXoFfGVLg0yy8oMgxMiYhCINxCc+XUc41pvduFYw5lEaPOftaYCiGw5ce9J/ZJq1SOKYpWMUII2J3hV+X1VK2Cp2aDYtvWivNh9zSOv1tHqdVn/FpKY2B6gtFkhsGg/eDV2rDwEVGY2twa08iCRIPBAJM5hAJI/q5BEVbm1awxBbjOVCcMTImIQqDOlgIArPq9haqzpQBQ6CdjeuDXclQcqQMAWAxuFFiVj4tmKq/D7dJ8KW9rZiqv8NjhPPiyYludKwc/lV3pvc9pvKGRZQ88buWHG5O5dfcubcLCR0RhUl9eoqgim4j06GPaRF0AyenwlzH1N5U3srNKkgGQVOv+uc5UFwxMiYhCoV5fCn0zpur1pfnWVFj9FLzZ7DONtyi1QjPbC0W9Ih6DuiIvANiamcrrOvKepm/pj4evh0u2AWj8LNC1AwPTUGh6l0KCKcx2PYmIhY+IIpD0GVPl/YgLEUE7ndfl9Jcx9TeVN/IXVdMyhhlTXTAwJSIKgbpVDKBzYFqnzCgVpfv/4L5FUfhItb60fRdI1rSIx6BeXwoEr8or2/fDVbZIsa1KHohfq8/w3u+UD6ToXCQqGQkh4HIpq/GazJakmALNwkdEEdBkTOMyipjRq48poC2A5G8qryRJ/qLhiM/pb50pRY+BKRFRCITTT8ZUx+JHB0IsfLQ5SOEjvSvyGiQJZqP/9Y1CCDhUBY8gmfBD6TT4ftV/UkdeZkIhe9wQqvVOZkuSTOM9pvzSJTWVhY+ImqUOopIuY6pPH1PAX8Y0QMsYPQNT9TpTTuXVBT8xEBGFwt8aUx0zpiWqqbyd/QSmFUdqsf+XE9NmNRnTaCvyOrUVeQNl7DyVyyHXblJsc2dcjANVnRTbTips/Rm/luBSFT2SDIZW37u0yTFVRd4cZkuJmqWeeZpkS0x162MKaNeYuhxu/1ODNS9qNFN52TImFhiYEhGFQKjXmJoBSbPAM3KaVjF+KvJu+bFYcb9LeqXivhTF+lIg9B6mwtMA58H5ynOb87Cr4QrFtoxUgDFI84QQmvWlZrM1KabxAtrCR5zGSxQCTeSWXJGpXlV5Ae1UXiELeFwh9DLVdSqvG0IEyNRSyBiYEhGFQB2Y6rm+1C3LOFRfq9jWyU/G1Ld/qUGSUZRaqRxTlBlTuyowDbS+1Hl4AYT7mGKbpfAm7C5VTs88qZBtYkLhdjmh6V0aQv/Y1kCWBSqOsfARUdiSvPiRXn1MAcBkNmi+KPZfAEkdmEZxVskEzT8Sp/NGjYEpEVEINBlTHVvFHG6ohVt1gfS3xnSzT+GjDtZqmKD6dlbnqbz+epjKDcVwl32i2GZIPwWrioeh5IjyNWKbmNC4VUWPjMbk6F0KADXV2sJHbBVDFAL1jJwkC0z1zJhKkhRiyxg9p/L6aRnD6bxRY2BKRBQK1RpTScdKs+pWMekmC7JVhW8a6pz4ZcNB733N+tLMXEhZuVGNQz2VN9WiXkMj4DjwAhSfkCQTvj94E1ZtUx7LaAQ6FzAwbY7f3qVJki0FtNN4U1OtsLHwEVHztIswk4q2j6mIcjpvKC1jdJzKC0AysGWM3hiYEhGFQDiU36zqWZG3xM/6UvW3yTvWlsDjPjGGrqr1pdFmS4HmM6aeyu8h1ykj0K2Vl2Dr/g6aY40aZIDFzMC0OW6Xv96lyRO4sfARUYQ07WKSKzL1t8ojmmforwCS9qQ6V5RiZV7dJUfJPyKiGIvlGlN1D9Pm1pcCwMAi5fTPaFvFAMHXmApPHZwHX1X8vMaVj5UHL1WOQwLGDjXglF4MSpvjr+hRsvQubcLCR0QRSvo1ptr3OSGE/4g1BJqMqd+pvDquMQW0gSkzplFjYEpEFAr1GlMdA9MDdTWK+/7XlyoD025Z1UDDiftSUfSBaYNLeVG1+UzldR56G8Jdqfj58tIb4RYnsnu2FODiM43o3D55AqtYkj1uyLLyw1Oy9C4FWPiIKBrqYj5JljD1+wVcNE/Ros6Y+p3Kq8qYytFO5bUoxiyEE0KIpPpysaUxMCUiCoFQrzHVM2Naq8wqqQNTj9uDrSt9A1OBXHep8iC6TOVVZu+aMqaehj1wH/1c8bPimqEorh3mvd8+B5g02ojMNF6QQ6WexitJydO7FGDhI6KoJHnG1N+VQo5mjakqMHU7PZBlGQaDTzAa84ypDMADhleR4ytHRBQC4VQFpjpV5RVCNNvDdPeWw2ioPTHNtp2lHiZXnXI8XfTPmFrNFgghw7n/v/D9VOSWzVh+6Cbv/X7dJJwz3ACziUFpqIQQcKkCU5MlJam+aVdP47Wx8BFR6JJ+jam/jKl+xY+Axum8KTafF9Kg9xrTppYxPseRXUASfcHY0lj8iIgoFKqMKXSqylvptKNOVZVVnTH1bRMDAKf2Uk1RSkkF8oqiHotmjanFAnfFEsj1OxXb1x+djBpXe0gSMGaIARecxqA0XB63U/OhKJmm8QJcX0oUlTaYMY0mTjQYDTCa1ZV5VetMdc6YSpKkyZqyMm90GNITEYVAU/xIp6q86mypSTKgwJau2KYufHRqHwFU+mwo6gVJ/U1wBOpVU3mtBhn1Ja8rLhRVzgJsLJ8EqwW4aJQBXTvw+81IuFSvtcFoSprepU0qGJgSRU6TMY3LKGJGkiRIkBRZ0mgypgBgsRjR4DoRjGoq8+pdlReNLWOEx+dLXVbmjQo/URARhUDYVe1idFpjqu5h2jE1HSafIFMIoSl81DOvVjkWHSryAoBdNZW3qnQNTFCOb3npNORkWTDlfCOD0gjJstyYMfWRbNnSxsJHysCUrWKIwqDO7iVZxhTQTueNpo8p4KdljLoAkt5rTAFW5tUZM6ZERCFQZ0wRo4xpUbryw/uh4gqUlyr3KZCOKO5LOhQ+AoAG1VTeQssmxf3d1SOQmjsEl47k1N1oaHuXNraJSSY11bVwqwofMWNKFAY/GdNkq/hqgDLejjZM9A1MPR4PNm7chH1f/oK1a9dizZo12LRpE1zHv4AdM+JULPnovbCOv2fPHqxZs8Z7vJ9++gk1NSeq6rvrfmFgGiUGpkREoVBP5dVpjam6h2lRWobivjpbmp2fhpTyPcqD6JQxbXAqA1OryWdKlJwCd7sbMaG/Iak+GMWD26nsQWsyp0BSTzFr5fwXPkqurDBRLPl9mxXwvzizlZIkSTFFOeqM6fECSN8s/QJ/fPj3aLA3BH9AiBnT0tJSDBo0COXl5c3uK2RX0n2B0JIYmBIRhUDTLka3jKm6h6kyq/TrRmVbmKEj2wPHDinHEqOMqdV4IjB1ZFyBIT0LdDlPW+bx07vUZEm+SrUsfEQUJX/fVSXbOlNVlB3t02vKmFbXVDcflAIhrzF1OBwhBaWNZEC4tVN8KSQMTImIQqBpF6PbGtPgPUxrq5QX197ta4G9PhsMRqBj96jH4ZFlOFTVgW3Gxm+ThbkQ7btPivocpM2WSpIBRmPyfYBh4SOiKPnLuMkAkqhGmmbJp04Z0yZ5ufkYOXIERowcgeHDh+OLjz7EM/NeOLGDHN7k4fT0dAwdOhQjRjQez26344YbbtDuKFwAku99vSUwMCUiCoW6XUxK9FMv7R43yuz1im3qHqb1Ncr1iOr1pSjsDkmH9YnqwkfAiYyprfMtkAy8yEZLCKFZX5psvUsBFj4i0kXAfirJ835hUD0XOcqcqclihCRJGH36WCz+ZCUKO3RClz75sKU3zkpZ+d1i1SNCO19BQQG2bNmCfv36weBTnHDp0qV+9xfClUT/Si2LgSkRUQhi0S7mgKrwEQB0SgsemObJh5XjKNKrIq9Ts81qlFHn6Yi0jJN1OUdb53E7NRkBszn5pvGy8BGRDvx995lklXm1VXmjP545xYj8vPbebS6nB7YTOygfIId2QpvNhgEDBoQ+ELaMiVhyVVsgIooR4dC/XYy6VUxuig2pJmVmUh2YZjsOKA+iV+GjAIGpR9j87E2R8Nu71Jh83w9rCh/ZUlj4iChcfi4xOrTdTCjqpxhtH1MAMFtULWMUvUxj0C7GH1bmjRgDUyKiEGjaxegRmGpaxWRq9lEHphl1JYr7ehU+UmdMTZIMs0FAlhhQ6EH4612ahNlSwN/60uz4DISoFZMkSRu5JVnG1KDKYMo6RN7aXqY+sze0i1qjPp8/ghnTiDEwJSIKhboqbywC0zTtdEffwNRscMNWq6zSK+mUMa1Xt4ppKnyE5AyeWprLX+/SJKzGC2gzplxfShQhTS/T5EqZajOm0TOnKAsgKTOm6hPGLmMabSGntir55hAREcVALNaYNleRF1AGpp1sVZDUF9IYrTFtKnwkmDHVhabokdmSdL1LAf+Fj9rlMTCl5CYLgSpVxW09uDwOwCfhZ3S4YTC3vrK8WRarJjsK+Ftjqv9UXqej5TOmgGDLmAgxMCUiCoEmMNWhKu8BVQ9TdeEjIYQiMO2cWqE8QF4nSKkZUY8D0K4xbWoVAwMD02h5PG7IHuW39iZzcr6uLHxEbVGV046zP3k19ifaF/tTxMK3F9+AnBRtvQJtH1M9pvIqA3e3ywNZFjAYJGjXmMYwqymcYMuY8CXf17VERLGg8xpTj5BxoF45lbezao2p0+6Gx30iQ9olTRmYSkW9ohqDr4YAU3kZmEZPnS2VJAOMpuT8wMLCR0QUKkNkRXKDUmdMIQTczuNfDGoyprFbtMt1ppFhYEpEFAJh17cq75GGOrhUzb3VU3nVhY/UgSl0KnwEaDOmTVN5JQamUfO4lR9QGqfxJmeXOxY+IqJQxSJjajQZYDQpwxtFASTFCUXs1oKyMm9EGJgSEYVAOPVdY6puFWMzmtBONdVJE5imHlOOQafCR4C/NaaNQbNkTM4CPS1FlmXNNF6j2RKn0cQeCx8RUaj07mPaRFOZ1xEgY6rnSdWYMY0I15gSEYVCVZUXlugC0wOqiryd0jI1F2nfwNQAGUWplcqD6JgxVVfltZmOZ0yNzJhGQ90iBpBgNCbnNF4h/BQ+YmBKbUCWxYpvL75B9+O6dzkh6k9cewyFRhjzWt9H9yyL/+tILPqYAoDZYoS97sT9EwWQ/AWmMmKRpxPMmEak9f12ExHFgd5VeUvqgq8vBYD6mhNVHttba5BiVE5H0quHKRA4Y2pkxjQqbtXrajSZk3Yab011HQsfUZtkkCS/xX2i5bYYIRwnlnwYzCYYU5Lno3ssqvICwTKmfnaO4VReIeSkrL4eS3y1iIiaIdxCUbIfiH6NaWg9TE8ENZ3V60vTs4Hs/KjG4Eu7xrTxw5DBpP+HrbZCCOF3fWmyOlZeqbhvs6XAlsqMO1HE1JeZ2NXqiQuD6gnq9fQ0gamzuYxpjDBrGjYGpkREzVBnSwEA1ujePtVrTP32MK0+kTHtom4VU9Rb18ybuiqv7Xh2NlnbmrQEj8cFdct4oymZA1OuLyXSlfoyE8v2JnGgbSuq31ReXy6Hu/HYsV5jKqmy2VxnGjYGpkREzVGvLwUgxWCNqVp97Yk1pppWMToWPgICZ0yNJgamkfK4lB9KDEYTDIbkveyqA1NO4yWKUpJnTGNRlRfQZkxljwzZE+DF0zFjKknK+gFcZxq+5L1CEhHpxF/GNJo1ptVOB6pVvS2L/Kwxrav2CUxT1YGpfutLAcCuCqKs3owp15hGyu3Wri9NVkIItooh0psmYxqXUcRMLPqYAsczpqrsqMvh8T/LSM+MqUH1Hs/ANGwMTImImuFbfKJJNGtM99cpP8AbJQkdU9M1+zV4M6ZCu8ZU58BUO5W38TmbOZU3IrLsgZCVC5NNSTyNl4WPiGJAHUgxYxracSXJ73Rev3SdyqsKTDmVN2wMTImImuNnKi+iCExLVOtLO9jSYTYYNfs1ZUyzzQ3INCszrPpP5VUe3zuV18ziR5FQV+OVJAkGY/JU01Rj4SMi/akLuibZEtOYVeUFAHOK8prqdHr876jrVF7ll4+cyhu+5L1KEhHpRDOV1wRIxsgD01DWlwInMqaabKk5BWjfJeLz+z1XgKm8koFTeSOh7l9qNFmStk0MwMJHRDGhafSZXJGpto+pfqbech0OHjzovW80GnD0WJn3/tot2zBk0jWA2QL4fDH82WefobCwUHO8Rx55BIsWLVJsq62tVdwfMuwMQFa+98/582O45JJLo3kqbQoDUyKiZujdw1TTKsbP+lLgRMZUW5G3FySjNsMaDbvTf/EjGJj1CldbaxMDsPARUUwkefEjg+rLOlnHwPuXXT+jZP++gD+vq2/Axh0/a7Y7VdfCJvv27cPGjRuDnnPjxk2abcfKy/zsSYFwKi8RUTM0GdOUKFvFaHqYBs+Yxroir0eW4fQo19/YjB4IIQFScgdUsaDOlgLJX/io8pjyd5qFj4h0oKkOFJ9hxIp2jamOx06UCSoiwBRi8osZUyKi5qjWmEZT+AjQ9jDtnO4/u+TNmGoCU50LH7m0gZTVKMMtrEk9/TRW3G5tmxhJvVgsidTXNcDlUn6xkd3O/5ctRBSGWM51TQDay4uAEEKX687O7b+geMcRxcl6DykE9v8M2OtPbG/fGVJWXrPHmz9/PubPn9/sfrL9IIR84viSuV04w27zkvdKSUSkE3VV3mim8jo9HhxuUK5LaW6NqWYqr96Fj/xMXbIaZXjA9aXhEkLAowr0k30ab2VljeK+2WxCKgsfEUVP0y4muSJTdcYUAGTdepmqlrsIAZfTE/uKUuqWMazMGxYGpkREzdCsMY0iY3qwvkZz2Q00lbeu2gGb0Yl8qzKQbZmMqQeyYHARLln2QKiqPCZzmxgAqKpQBqZZORnMtBPpIenXmGq36RUnGowGGEzKMMflcGvTtDpW5QWgbRnDyrxhYWBKRNQczRrTKHqY1iqLxGRbrEgPkFFrqHWgKLVSudFgAAp7RHx+v+dRZUwtBhlGAyBLzJiGS50tlSQDJD+tgJKJOmOanc1pvER6kAzqdipxGkiM+MuY6tvLVLlisSUyppIqYyqEU9c2OMmOgWkCW7x4MaZOnYq+ffsiIyMDZrMZubm5GDVqFB555BGUlJTEe4hEbYLQcY1pqBV5hRCor3Fo1peioCski76ZTLtLXZG3sViDDGZMw+V2a6fxJnv2sKpC+TudlZMRp5EQJZkkz5j6e2/UM4izqKbztkzGVPVFs5CRdP9wMcTiRwmooaEBv/nNb/DBBx9ofnbs2DGsWLECK1aswD//+U/85z//wY033hiHURK1HcKpbhcT+Xd6oVbkddrd8LhldE6NbeEjQDuVt6lVjJAYmIZDyDJkVXVjY5JP45VlGdVVdYpt2dkMTIl0kfRrTLX0DOFM6oypww2kxniNqWRC4zPzOa7sAnRu8ZasGJgmoOuvv94blObk5OCuu+7CiBEjkJubi+LiYrz11lv44IMPUF9fj2nTpiE/Px8XX3xxnEdNlMRUGVNYdMyYBghM62saCx9lmOzKH+R1ivjcgain8np7mHIqb1jU2VIgudvEAEBNdR1kWflRkhlTIp20gYypBEkxfTemGVOnB0hTt+DReSqvJDWuMxUnrgdCOCFxBlJIGJgmmI0bN+K9994DAOTn52PdunUoKiry/nz48OG44oorMHfuXNx2220QQmDWrFkMTIliSFP8KIqqvOpWMc0FplajMgMHW1rE5w5EmzE93nfNwAtpODyqNjFGkznpp/FWqgof2WwpSElJ7iwxUYvRZEzjMoqYkiRJEYzq+RTNKX4yppo1pvpH+5LBDOHxua6yMm/IuMY0wfzwww/e2zfffLMiKPU1Y8YMFBYWAgA2bNiA2tpav/sRUfSEXdUuJsI1prIQOKBZY+q/h+mJwFR5QZOs+gem6jWmtqaMKQPTkAkhtOtLk3waLwBUVaor8rLwEZFu1F9sJVnGFPDTqlXHjKnZosyYetx+mtHEYno0K/NGjIFpgqmuPvGhtVu3bgH3kyQJXbt29d6vqakJuC8RRUe9xhQRZkzL7fVwyB7Fts4BM6aNU3g1GdOU1IjOHYx2Km/jGCUGpiGTPW7NBxxjkvcvBYBKVeEjri8l0pGfjGmyVXg1qIJvvaryAsfXmKqO71EH9zHImGp6mTIwDRkD0wTTu3dv7+29e/cG3E8IgeLiYgBAVlYW2rdvH+uhEbVd6qq8Ea4xLVFlS1MMRuRa/Qea9TWNwaJNlTFFgP2jEaj4kcHINaahUmdLDQYjDEneJgbwlzFlYEqkF78rAZIrLtUuo9Xx+RkMEkxmVdbUozpBDAJ9SZUxFbIr6b5QiBWuMU0wF198MYqKirB//368+OKLuO2229Cpk7bYybx583Dw4EEAjdN6jTpU+zpy5AjKysrCesyuXbuiPi9RotNrjam6h2mntEzNt8VN6qubMqaqwNSWHtG5g1EHprbjGVODiRnTUKn7l7aFbKnb5UZtTb1iWzYDUyL9+EsfJVl8o16Hr2fGFGgsgOR2nph55PGodohFxlTdMgYyIDzHK/ZSMHyFEozVasXHH3+MiRMnYv/+/Rg0aBDuuusujBw5Eu3atUNxcTHefvttvP/++wCAq6++GnPmzNHl3M8995xuxyJKJprANMI1pqH2MAWA+lr/a0xbZipvU8aUgWkoZNkDWTVFu02sL63S1jbIzGJgSqQbf19cygCSaDKGpMqZ6p1ZNKeYgOM1G4CWyZhCMqLxWwWfoFc4wbCreXyFEtApp5yC9evXY968efjHP/6BRx99VLPPyJEj8cc//hGXX355HEZI1MaoAlOkRLYKQlP4KMD6UgCoqw5QlTcGU3nVxY+aAlMjM6YhUVfjhSTBYEz+y6t6fWlGZhpMpiT6xEwUb36n8ooAP2idDDGu76QugOR2q84Qi6q8ktRYmVc+ERAL4Uqif7XY4RrTBPXee+/hzTffRFVVld+fr1u3Dq+++io2bdrUwiMjanuEeo1phBlT9RrTYIFpQ1PG1BD7qryB2sUYzQxMQ+F2qavxJn+bGMDP+lIWPiLSl79P6UlWmbdFMqY+3O4WyJgC2sq8bBkTkuT/SreVkWUZ119/Pd58800AwLhx43D//fdj5MiRSEtLQ2lpKT799FPMnj0bH3/8MRYvXoy33noLEydOjPrct912G6688sqwHrNr1y5ceumlUZ+bKJEJh6pdTMRrTMPNmIqWKX6kmsprMzU+X5OJxY+aI4SAR1X4yNgGpvEC2h6mXF9KpDM/lxohkilf6m+Nqb78Zkx9o59YrDEFAIOtMeg2mBuLIRl4PQ0FA9MEM2/ePG9QeuWVV2LBggWKP9ouXbrg1ltvxYUXXohhw4ahvLwcU6ZMwe7du5GXlxfVudu3b8/qvkR+qNeYIoKqvLUuJyqddsW2QD1MgcaMqVmSYTSoW9XEvvhR01Rek9mm+7mSjWYaL9rG+lIAqKpgxpQoliRJaoxCfS8DSZcxVYp1xlSWVWeMUcbUYM4CEPgaT/5xKm+CeeGFF7y3n3jiiYDTwbp164bf//73ABp7mL711lstMj6iNkk9lTeCjKl6fakEoDA18Af5umqHtvAR0EJrTFmVN1TqbKnBaIJkSP5Lq93ugN3uUGzLzgk8A4CIIqTpZZpcZXnVlellnXOmRpMBBuOJF1FzdD3701DUkv/q2cps27YNQGP2skuXLkH3HT58uOZxRKQ/ParyqivyFtjSYQnS5qmhtuUC03r1VN7jGVOJU4+CEkJo+pe21WypwWBAeob+v5tEbZ4mpRiXUcSMdo2pzseXJMV0XqF+QWM1lZciwsA0wZhMjVMOXK7mF0n77mM2m4PsSUTR0PYxDf+ts0TVwzRYqxggWMZU/+JHgTKmMDBjGoyQPRCy8kNNW+hfCvgrfJQOQxvIFBO1OHVgmmRxlHpioN59TAHldF4hWmYqL0WGV5EE06NHDwBARUUFNm7cGHTfxYsXax5HRDGgwxpTTQ/TIIWPgKaMqapVjDkFks5tSFweD9yq4MrqzZgyMA3GrVpfKkkGGAxto12KuvAR15cSxYi6n0qSxVGxrsoLAOYU34ypipBjck6KDAPTBDN58mTv7VtvvRW1tdoG5gCwfPlyzJs3DwBgNBpx8cUXt8j4iNoiYY++Km9ZQ73ifrD1pUCAjGlMKvI6NNts3owpp/IG43Gpq/G2jTYxgDZjyvWlRDGS5BnTWPcxBQCzxSdj6r85bAzOSpFgYJpg7r77bu/a0h9//BEnn3wynnzySSxfvhwbNmzA559/jttvvx3jxo2D3d5Y4fP3v/89M6ZEMSSc0Rc/snuU2c9UU/Dp937XmLZAD1OgMWPqEWZIUtvI/kVCCBkej/Lfx9RGpvEKIVDJHqZELUP1ST3ZsnstkzE9EZjK6qm8jRt1PydFhu1iEkxWVha+/fZbXH755di0aRP27NmDe+65x+++kiTh9ttvxxNPPNHCoyRqY+zRT+VVB6ZWU+C3XyFEY8a0nWoqb0osKvJq17GmGGW4hf5BcDLx1ybG2MyXDcmirq4Bbpfyd5M9TIliQ5JU+bwky5jGuo8p0MxUXoDrTBMIA9ME1LNnT6xduxYffPAB3nvvPaxbtw6HDx+Gw+FARkYGunfvjlGjRuGmm27C4MGD4z1coqSnLX6kQ2AaZK2o0+6G7JFhM7XAVF514SODBwYJkAXXlwbj9juNt21MQlJX5DVbzLCl8veFKCYMqkamSRZDxbqPKQCYzD6Bqb+MKSvzJgwGpgnKbDbj6quvxtVXXx3voRC1acItAI9yWyTtYhyqwDQlSGBaV904Td9qUAWmtvSwz9sc9RrTpsJHssRAIxAhhKZ/qbGNtIkBoJnGm52d0WbW1hK1uCRfY6rNmOoTmHo8HmzduhVr1qzBmjVrsOz7Ffj5lx1wHZ/tMmbEqVjyxgvHT9r8i1pRUYFvvvkGS5YswYYNG7Br1y5UVlbCarUiPz8fw4cPx8SJE3HVVVexU0YUGJgSEQWhzpYCACJoFxNOxrSh1nl8H+VjpBhM5W1QTeVtahUjwMJHgciyR/OtflvpXwoAVRXKCtNZnMZLFDvqy02STTs1qCJvPZZ7Lly4EFOmTEF9fX3zOwNBX9Pa2lpce+21+Oqrr+B0amsyuFwu1NTUYPfu3ViwYAEefvhhvPrqqzjrrLMiHX6bxsCUiCgY9fpSAFIEa0zVGdNggak3Y9oCVXm1PUwbvzkWbBUTkLoar2QwwGBsO4Wi/GVMiShGkj5jqryvR8a0srIy9KAUaDYw/eSTTxTbCgoKMGzYMHTo0AEulwsbNmzApk2bAAB79+7F2WefjQ8//JAdMyLAwJSIKAh/GdOI1pi6w8mYNk6vtbVAVd561TfAVtPxTz2cyhuQWzWNty1lS2VZRk2Vso0ZM6ZEMaTJmMZlFDGjzZjq9wQLCgowfPhwDB8+HEV5PfDdsiV47a2XtDuGMJU3JycH119/PW688Ua/9V2WLVuG66+/Hnv27IHb7caUKVPw888/o6CgQI+n0mYwMCUiCkI4tBescNeYykLAISsXqgaryltX3RiYtkS7GG3GlD1Mg5FlGbIq+21sI21iAKCmqg6yaq4dM6ZEMaROKSZ9xjR6F1xwAYqLi73tFwFg95ZDWLfhJ/8PCBIMWywWPPLII7jnnnuQmRm4X/OZZ56JxYsXY/DgwaiurkZ1dTWeeuopPPbYYxE/j7aobZQQJCKKlL81pmEGpuppvACQYgiSMa1pCkxVj4tFVV51xvT4VF5wKq9f6qJHgASjse0UuqisVK4vtaVaYUlpO4E5UUtTF/tOsiWmMelj2qFDB0VQCgAGQ5DrdpCMabt27TBnzpygQWmTbt26YcaMGd77n376afODJQUGpkREQQj1GlMTIBnDC0zVhY+AZjKmNf4zplIMMqbqdjG24xlTycjA1B9tNV5zm6pIq24Vw/6lRDGm7acSl2HESqyq8mrOEzQw1e+co0aN8t7eu3evbsdtKxiYEhEFIZzR9zB1eDyabcHWmNa3ZMY0QPEjAwNTDSEE3KoqxqY2NI0X0BY+yuI0XqLYSvbiR6r7sYq7I82Yhss30Pb4ufZTcAxMiYiC0GRMU6JvFQMAKUGquNYHyJjGpCpvgKm8RgamCo1BqQPqFVBGU9uZxgv4y5g2P72NiKKgDqiSLDA1+MmY6jGdV62lMqabN2/23u7cubNux20rWPyIiCgY1RrTcAsfAdrA1CQZYDaEEJga1IFpetjnbk59gKm8BhOLHzVxu51w2us1RY8MBiMMQf4dk43L5UZtrbIFAzOmRI1F0arLw2hPEgbPMQ/kihPvPZLLAFOWtp9mIsvMTYXB4P9LXfUaU6AxOPW3PRpBl1zI+kT7sizj9ddf994/55xzdDluW8LAlIgoCGFXXrAiCUzVxY+CZUuBFs6YBpjKazQxY+pxu+C018Pjcfn9ucnctoL3atU0XkkCMrP0/7KEqLWpLq/HZV3+Gu9hJKwP9s1Edr7/9wp/8aIQ0M7xjZIhWG0InTKmzz33HHbs2NF4PoMBt956qy7HbUsYmBIRBaHHGtNwepgCLbzGVDOVtzFjamrDganH44bTXgeP239ACgAGowlmS9t6jdTrS9Mz0mAytZ2MMRHpz19mVIaA3u8sQTOmOqwx3bp1Kx588EHv/WnTpmHAgAFRH7etYWBKRBSMeo2pJfqpvKEGpjZ1Vd6U2PcxtR3PmJrMbSvoApoC0no/LWFOkCQDLNZUmMwpbaoaLwBUsiIvEenM39LPWBRACl78KLoTVlZW4tJLL0VtbS0AoFevXnjyySejOmZbxcCUiCgIdfGjiDKmmqm8oQSmQjuV16Z/YKpeY9o0lbcttYuRPR44HfXHixv515YD0iZVmoq8LHxERNEJtMZU9/PEKDC12+245JJLsGvXLgBAZmYm3nvvPaSnc5lDJBiYEhEFoZnKq0Pxo2A9TAGgvsYOi8Gj/Sa5RaryHi9vb0j+wFSWPXDamwtIJZhTUmG2WNtsQNqksqJacZ8ZU6JGmbmp+GDfzJgcW66W4dnr8yWlBTD3bV3r2zNzA1+7JEmCBEkRjMaiKm8s2sW43W5cffXV+P777wEAVqsVixYtwsknnxzR8YiBKRFRcDq0i9EWP2ouMHVqs6UAoPNUXiFEwD6mUhIHpkIIOO11cDntgXeSJFhSbDBbbG0+IAUAe4MDDrvyd4UVeYkaGQyGgMV9oiWneOCp8rkemABzfnK9P0uSMmkZi444emdMZVnG1KlTsWjRIgCAyWTCu+++izFjxkQ6RAIDUyKioIS6XYwOU3mbX2NqR6q/wFTnjKnT44asuiDbTE0Z09b1jXw4XI6GIEHp8YA0xQpJYqvvJurCR0ajAekZ+k8tJyIV9dtQDNZfxlvjdN7WlTGdMWMG3nzzzePHNuC1117DxRdfHOnw6LiED0xLSkqwd+9eHDp0CHV1dQCAtLQ0dOjQAd26dWPzWiKKKX3axXgU94MFpkII1Nc4kWv1lzHVNzBVV+QF2kbG1B2guJE5xQaLxQYpQL+9tky9vjQzKyP4Bz0i0od6xkYs0olxJkmSIuCOReytZ8b07rvvxgsvvOC9P2/ePFx77bWRDo18JFxgunPnTnzyySf4+uuvsWbNGlRWVgbdPzs7G8OHD8e5556Liy++GH369GmZgRJRm6BeYwpdMqaBC+E77W7IHhlWg6pVTIoNUjP9T8MelytwYJrMa0yFqpm6yZwCizUtYAN4AqpU60uzuL6UqGX4yZgKIZJqiYH6mcQkYxrs9ZJDj/YfeughPPXUU977//rXvzB9+vQoRka+EiIwbWhowPz58/Hyyy9j3bp13u2h/GJWVFTg66+/xtdff4377rsPQ4YMwbRp03DDDTcgNVX/QiFE1Maoq/JG0i5G1Q8zWMa0rtp+fB9VxlTnbCmgzZhKEEgxyJCFEZAS4vKgOyEEhGraljnFxqC0GeqpvNlcX0rUIvzGUwLaaK4VUweNciyq8hqjz5j+5S9/wV//+lfv/T/96U+46667ohwZ+YrrJ4/q6mo88cQTePbZZ72ZUXUwajKZ0LFjR+Tl5SE1NbWxWEdDA8rKynDo0CG43W7FY9avX4/f/e53eOihh/C73/0O9957LzIzWdKeiCKjzxpT5VTeYMWPGmobg0WrUZUxteq/ns9f4SNJAjwieVuiqINSADBwLWlQQghUsYcpUXz4e3tKsnWm2oxpDM4R7JoWwhrTp59+Gg8//LD3/n333YdZs2bpMTTyEZfA1OPx4N///jf+/Oc/o7KyUhFY9u/fH+PHj8fo0aNxyimnoGfPngF/mYQQ+OWXX7Bx40b88MMPWLx4MbZt2wagsdntX/7yFzz77LOYNWsW7rjjDhh1ngZHRMlPE5jq0S4mhIypTZ0xjUGrGG1g2hhAy2g703gBBEhJUJO62ga43covV1iRl6iF+Ht/kgEk0Uda9ef8WPQxDV78KPj5Xn75Zdx9993e+7fffjsef/xxvYZGPuISmA4ePBjbt2/3BqQnnXQSbrrpJlx11VXo1atXyMeRJAm9e/dG7969ceWVVwIAdu3ahQULFuCVV17B7t27UVFRgXvuuQcvvfQSNm/eHJPnQ0RJzKF/u5hgfUwbaht7amqm8sYiMFVN5bUdX18qS8lbkVeWlQGWZDAmbXZYL+rCRxaLGbbU5P3ygiih+J3Km1xzeQ2q56KuFh+JCRMm4ODBg977QhY4eLDUe3/tlm0YMuma4wMwAObG695nn32GwsJC736bN2/GzTff7I1Z0tLSIITA7373u5DGceedd4YV27R1cQlMm7KaZ511Fh544AFccMEFuh27Z8+eeOihh/DQQw/h888/x9///nd899133nMSEYVDqNeY6pAxTTEEy5j6D0ylFprKCwCiDWVMuba0eZXqwkfZGQzmiVqKv7eoJKvMq5nKq8Mxt23bhuLi4oA/r6tvwMYdP2u2O1Vf2JaXl0P2uW7U1dXhueeeC3kcV1xxBQPTMMTlinzaaadh6dKlWLp0qa5BqdqFF16IJUuWYOnSpTjttNNidh4iSl7CoWoXo0dV3mAZ05qmwDT2a0ztLnVRpsZsokjiiryyai0Re5U2T50x5fpSohbk55ITizWY8aSZyptsT5BCFpeM6YoVK1r0fGeddRaWL1/eouckouSgXmOKCKryqqfyBit+VFfTglN5A2RMkcRTeYVqKq/BkEQLtWKkUlX4iOtLiVqOJEmNwanvpSjZMqYxWGO6d+9exX2P24NdGxun8qaZnOiUWnXihyYzpJMG+j3O2LFjGSi3IH5VTEQUjC5VeZWBqS1IYFofKDCNSbsYh+J+U8ZUSuKMqXoqr8SpvEF5PDKqq2oV27JzWOmeqEX56WWaTFqkKq9P8SOhPiMDz4SRdI3qDh065J0f3qVLlziPhohaOz3WmDpU7WKCVeWtDzSV15Ye9nmb06CayttU/EgyJmdgKoRQrBUCGJg2p6a6VpMtyOJUXqKW1RKRWxxpih/Foo+pT1ZWFurANMlS0K1Y0gWmF154ITZt2gRJkuB2u5t/ABFREMKpzpiGH8hoih8FaV3lDUwNsZ/Kaw8wlTd5M6YC6lSDQeJU3mDU03hTU62wWMxxGg1RG6UOTJMsjtKuMY3NOQxGCbLHz0ThJAv0W7Ok/KpYCMH54ESkD3v0a0zt7tD7mAaayivFZCqvKjA1NWZ2DUmaMVVnSwFmTJujLnzEbClRHKh7cCbZR1xtVd7YPMGmANjfVF7GDYmBV2QioiDUxY/0WGMarPhRU2Bq0xQ/arl2MQZTcgammvWlksS2J82oYuEjovhrcxnTGAWmxwN8v4fndN6EwMCUiCgITbuYMNeYumUZbtUFL6I1pi1SlbcxY2o0JWdVXnVFXokVeZtVqWkVw8JHRC1O9Wk92bJ7Bkm9xjRG5zEEyJgCnM6bIBiYEhEFo57KG2Zgqm4VAwTvYxqwKq81BsWPVFN5m4ofGZM0Y8oepuFxudyoq61XbGMPU6KWp5nYkWTJPW1tp1hnTBmYJipelYmIgtBM5Q0zMFVP4wWay5jaj+8T+4xpoOJHyRqYqqfyGri+NCj1+lJJkpCZpf8XJETUjKRfY6ruYxobJzKmfnAqb0LgVZmIKADhFoBy9mfYa0zDD0ydx/eJfVXeQFN5k7VdjMypvGFRry/NyEyDMUhFaSKKkSTPmKrjbjlmGdPGsEfmVN6ExcCUiCgAdbYUgC5TeYMXP2rMmKqLH0mxKH4UYCpvsraLYcY0PJWV1Yr7LHxEFCdJ3sdUU/woRjlT71u+8PMS+qnaTi2PV2UiokDU60sBSCnhvW2qM6YWg1FT6KGJEAL1NU5IEH6m8uobmMpC+JnKezyjmISBaWMbMdUaU2ZMg1JnTLm+lChO1JedJIuhNFN5Y5Ux9bn2+msZQ/HHwJSIKAB/GdNwp/I2hNHD1NHgguyRkWLQZln1nsrrdLs030lbkzhjqg5KAcDA4kdBqSvyMmNKFCfqt6oki6G0fUxjw2A88UJqzsE1pgmBV2UiogDUrWKA8IsfOTzKdY0pQdboBazIC+ieMVVP4wUAmzdjmnztYtTTeAH4KXVJTewNDjjsyt8RZkyJ4kT9XpVkMZSmXUxLZEzVlXmZMU0Igb+6j7Hvv/8+Jsetra2NyXGJqA3SYY2peipvaD1M/QWm+mZM1YWPGs+bvBlTWdZO41Wva6IT1NlSo9GAtHT91zkTUfMkgzLDl2wxVEtlTCUDp/ImurgFpmPHjuWHAiJKaEK9xtQESMboih9ZTeaA+54ITP1M5bXYwjpvc9SBqQECZsPx55uEgakQysw1Cx8FV1WhLXxkUJfOJKKW0daKH8Xo+fm+h2mSzpzKmxB4ZSYiCkA4VT1Mw1xfCmgzphFN5bWmecvc60U9lddq9JyYLWaw6HquRKCeyitxfWlQXF9KlECSvF2Mv6q8sQhOFRlTzVTeJHtRW6m4ZUyB2H0jQkSkB03GNMyKvIBOU3lboIepzdR4UfaIlKQM2rQ9TJPvOepJXZE3i+tLieJH0+gzPsOIFX9f+YoA26NhUEzlVZ+QMUkiiFtgql7vQ0SUcFRrTMMtfAT4mcobLDCtDjCVN0X/wFTbKqbxPVmWkm8aL+CvhylbxQQihECVKmOanZ0Zp9EQUYstwowTg58QVAihe4G64BnTJHtRWyl+ZUxEFICwq6Z/RhCYNoQTmNY2BqY2P1N59eZvKi8ACCRnYKotfsTLXyB1tfVwu5UZZmZMieJI0y4muYIofzVnRAyib0PQPqZMmCUCXpmJiALQY41pZBlTVWBqi0Fgqp7KezxjKqQkbBUjZKhTDAaJGdNAKlXTeC0pZthsyfd7QdRqJPsaUz/b5BjE3r7FCzmVNzHFLTC99dZb8cUXX8Dpp5ceEVFCUK8xtURQ/MitLn7UfMbUalA+RorBVN5AGdOkrMjrZ+kIM6aBaafxZrCKPlEcSQZ11do4DSRGWixjGmwqL5cYJoS4XZnnzZuHiy66CLm5ubjsssswf/58lJWVxWs4REQaQr3GVIeqvMEzpvbj+8R+Km+gNaZIwjWmmmm8ksRAKwh1xpQVeYnirE1kTGMffEtBp/ImWbTfSsW9Km9dXR0++ugjfPTRRzAYDBgxYgQmTpyISZMmoX///vEcHhG1cZrANKLiR8q1ekHbxdQ2BovaNab6Z0zrNVN5j4/TmHxTNoVQry/lNN5gNBnTHBY+IoqrNrDGVIJyem3sM6aqH3KNaUKIW2C6YcMGfPzxx1i0aBHWrl0LIQQ8Hg9WrlyJlStX4qGHHsJJJ53kDVLPOussGIN8oCMi0p0jBu1iTJFkTGNQlVczlbfxoiwZbLqfK940rWKSsB2OXjweGdVVtYptLHxEFGdJnjEFGgsTeXyiRTnK4Nvj8WDr1q1Ys2YN1q5dizVr1mDTpk1wuRqvr6OGDccP/5t34gFBztfQ0IBVq1bhxx9/xObNm7Fz506UlJSguroaQghkZWWhZ8+eOP300/Gb3/wGQ4YMiWrsbVncAtOTTz4ZJ598Mh566CEcPnwYH3/8MT7++GN88803aGhoAADs3r0bzzzzDJ555hlkZWXhggsuwMSJEzFhwgRkZWXFa+hE1Eao+5jGvF3M8Yyppl2MNT3s8zanwaUMfpsCU0MyZkw1rWIYmAZSU12r6THOqbxEcabJmMZlFDGlZ0echQsXYsqUKaivrw+4j7b4UeBo/9lnn8Uf//jHgD8vKytDWVkZfvzxRzz55JO4+uqr8dxzz6Fdu3ZhjpziOpW3SUFBAaZPn47p06fDbrfjm2++wccff4xPPvkEpaWlAIDKykosWLAACxYsgMlkwplnnunNpnbv3j3Oz4CIklHirDFtiT6mjVlFgzEZ15iqMqacyhuQen1papoVFos5TqMhIgDafp7JGJhKkuJ5qb8gC0dlZWXQoNSvEM+XmpqKfv36oUePHsjOzobb7cb+/fuxcuVKVFdXAwAWLFiAbdu2YdmyZcjM5FKIcCREYOrLarXi4osvxsUXXwwAWLt2LRYtWoSPP/4YGzduBAC4XC4sXboUS5cuxT333IO+ffti0qRJmDhxIs4444x4Dp+IkohwqL5BjSBjGlZg2lSVV5UxlWKxxtTpUI3reMbUxIxpW6atyMsPVURx52cqrxAiqYq4SeriRzpE3wUFBRg+fLj3vy+++ALPPPOM94zKEwbOmPbq1Qt/+ctfcP7552Pw4MEw+VmSY7fb8dRTT+Ghhx6CLMvYvHkzZs6cif/85z9RP4+2JOECU7Vhw4Zh2LBh+NOf/oSSkhLvlN+lS5fC4Wj8YLVjxw7s2LEDf//735GXl4eLLroIEydOxPnnn4/UVP0/0BFRG6HDVF51YBq0XUygPqYxqcqrPEdTH1OjKbnWmAohtMWPuMY0oMqKasV9ri8lij+/b1kC/huAtlIGdfeWKOLSCy64AMXFxejSpYti+8qVKwM/KEjG9JJLLsEll1wS9JxWqxUPPPAAnE4nHn30UQDAa6+9hieeeAJWa/LNRIqVVnV17ty5M2677TZ8/vnnOHr0KN577z1cf/31yM3NPf7hQ6CsrAyvvvoqrrjiCuTl5WHChAmYN29e8wcnIlLRoypvZBnT2AemDQGn8iZXxlQdlAKcyhuMOmPK9aVECcDfpSfJpvPqmTHt0KGDJigF1O1iVHSqdHzTTTd5b9fU1GDXrl26HLetaFWBqa+0tDRv/9PDhw9j2bJluO+++9CvXz9vkGq32/HFF1/g9ttvj/dwiagV0mONaajFj4QQqK85XvzIEPs1pg3qqrym41V5k2yNqXoaL+C/mTsB9gYH6mobFNvYKoYoAajTiUDSVeZVvy+3eEccndrF5OfnK+7X1NQE2JP8abWBqS9JknDGGWfgb3/7G7Zu3YpffvkFTz75JMaOHQuTyRTVAmoiasPU7WIsEbSLcYc2ldfR4ILsabwwaqvytlzGVDIkV2Aqy+oepgYGpgEc3H9Ecd9kMiIzS//fPSIKk9+MaXJ9ttVW5W3h56fT67lt2zbF/W7duuly3LYiKQJTtR49euCuu+7C4sWLUVZWhjfffDPeQyKiVkjTLibMjKkQIuQ+pvU1J4oR2dRTeVP0zZh6ZBkOt/81pkiywFQIZUVeg8RpvIEcKDmkuN+hMJ/9w4kSgb9P60mWMTWovjCMto9pc8JpFxMqp9OJBx54wHv/jDPOQMeOHaM+bluSlIGpr6ysLFxzzTXxHgYRtULqqrzhBqYuWdZc/KwB1jf6BqbqNaaSzhlTdeGjxnMmZ8ZUPZVXYkVev9xuD0pLjyq2depcEKfREJGCn0tPkiVM/awxjTGhT7Ulp9OJ4uJivPHGGxg5ciS++uorAEBGRgb+/e9/RzvKNifhq/ISEcWLeo0pLOEFpupsKdB8xtQAGSlGZZYPNr0DU6dmm9WbMU2u4kf+pvKS1uHSo/C4T/zeSRLQqYiBKVEohBBocDS/XzTcHiiiNUODgEFqHdGpLaX5tf2aVq0tHXmHkTE1mUzweDwBf967d2+8//77GDhwoB4ja1MSLjD905/+FNXjDQYDMjMzkZ2djX79+mHw4MGwWCw6jY6I2pQoix+pCx8BgNVo9rtvU2Caol5fCuhe/Ei9vrRxXE3Fj5KsXYysmsrLirx+HSg5rLifl98OKVZeO4lC0eAAnv8wcKCiD9VH9l8FgFifUx8zJhuR2sxknFj0MQ2LDoGw0WjE/fffjzlz5vjtdUrNS7hXbfbs2boWprBYLLjssstwzz33YOjQobodl4iSn2aNaZjtYhr8BKYpAdbsNQWmmlYxAJCib8ZUXZHXJMkwG44/12TLmLKHabOEEDiwXxmYchovEbUkPfuYhiKaNaa33367N2NaV1eHkpISrF69GjU1NfjrX/+Kd955B//+979xwQUX6DfgNiLhAlNAm76XJCloSj/Yzx0OB95++228++67mDVrFmbNmqXrWIkoeQmnOmMaXlCjnsorAbAEWmNa3RiYagofATHPmHqn8SK51pgKITTfghs4lVej/Ggl7Kp5iEVdGJgSUctJhIypECKk5NjTTz+t2VZXV4dnn30WjzzyCHbt2oWLLroIL7/8Mm644YZYjDZpJVxg+uijjwIAqqur8dxzz8HpdEIIgS5dumDEiBEoKipCeno66urqsH//fqxevRrFxcUAAKvVittuuw1WqxXHjh3Dpk2bsGrVKng8HrjdbsyePRvp6em4++674/kUiai1sEe3xlQ9lTfFaAp40auvbcqYqrKsBgNg0TdYVK8xtfquaU2ijKl6Gi8ASJzKq6GexpuZlY6MzPQ4jYaI2qK49zFtOmmEszbT0tJw3333oVevXrjssssgyzJmzJiB0aNHo3v37joPNHklZGD6888/46KLLoLD4cDw4cPxxBNPYPTo0QEfs2zZMtx7771YvXo1PvroI3z22Wfo1asXAKC4uBh33nknFi1aBCEEZs2aheuuuw4FBfw2mIiCUxc/CneNqbqHqTVAD1PgRMbUalC3iknTve9mvdN/xlSGCZKUcJeFiKkLH0GS2MPUD3Vgymm8ROGxpTSuo4wl989OxZelhi4mGLJbxxdtthC+72zpPqYiRqWOJ0+ejLPPPhvffvst7HY7nnvuOTzxxBNRH7etSLhPIPX19Zg8eTJ2796NCRMm4MMPP4TZ7L9YSJMzzzwTP/zwAy677DJ8+umnuOyyy7B69WrYbDZ07doVCxcuxKWXXopFixahoaEBL730EmbOnNlCz4iIWitNu5gw15iqM6aBKvICQTKmOk/jBbQZU5s3ME2eabwAIFRrhgxcX6pRU12HqsoaxTYGpkThkSSp2eI+0XJZAPhcHgxmwBjml6WJrKX7mPolZADRB/vnnnsuvv32WwDA8uXLoz5eW5JwV+n58+dj+/btsFqtmD9/frNBaROz2YxXXnkFVqsV27Ztw/z58xU/f+qpp7yNwpt+WYiIglK3iwkzMFWvMbUagmVM7QD8rDGNQWCqXWPaOOVVSMkVmMqqqbycxqulzpamWC3IzcuJ02iIKBDNZI/Qa/W0Ci3ex9QfnYLhnJwT76Hl5eW6HLOtSLjA9O2334YkSRgzZgzy8vLCemxeXh7GjRsHIQTeeustxc+6deuGIUOGQAiBnTt36jlkIkpS0Vbl1QSmQTOmjcGipiqvVd+KvIC/NabHP+EkWWAqVFN5WfhIS1ONt6gABnV5TCKKP/XfZetoYRqyuPcxBcKqzBtMaWmp93a7du10OWZbkXBX6V27dgEAOnfuHNHji4qKFMfx1bdvXwDAsWPHIhwdEbUVwi00LeLCXmOqasAdqFUMcCJj2hKBqXqNqc10fJxS8hQ+ArSBqcTAVMHhcKLssPJ6yGm8RAmqzWVMY7zG1N/hdQqGP/nkE+/tfv366XLMtiLhrtIVFRUAIg8emx7XdBxf6emNVQaNQT4cEhEB2sJHACKYyqsMMoMWP/JmTFUtZlpgjak3Y5pEFXkBQBaqqbwS3/t9Hdx/RJGVMBoN6NAxvJlKRNRCNNWBkitl2tJ9TP2ew0/GtK6uDna7PeRjzp07F2vXrvXev/zyyyMdXpuUcIFp+/btIYTA0qVL4XL56ecXhMvlwtKlS73HUauqqgKAsKcIE1Eb5CcwlVLCe8t0qDKmVmPgNfMtmTEN1MdUMtp0P1e8CCE4lbcZ6vWlHTrmw2ROuJqIRARoP7EzYxo1TWVeP8H+L7/8gp49e+If//gHSkpKAh7r0KFDuPvuu3H77bd7t40ePRoXX3yxbuNtCxLuCnTGGWdgwYIFOHbsGB5++GE8/vjjIT921qxZKC8vhyRJOP300zU/37FjBwAgPz9ft/ESUXJSry8Fol9jGnQqr7cqr7pdTAyKH6mn8h4vfiQlUcbU3/okTuU9wePxoPRgmWIbp/ESJTBtP5Wkou1jGt0TnDBhAg4ePKjYdujQIe/trds34dRLrla+rOYUfPbFFygsLFQ87sCBA7jvvvtw3333oVu3bhg4cCDy8vKQkpKC6upq7NixA5s2bYLH58voPn36YMGCBVE9h7Yo4QLTm266yfsP+cQTT6C2thaPPfYYMjMzAz6mpqYGM2fOxHPPPefdNn36dMU+5eXl2Lx5MyRJwoABA2IzeCJKGsKp/Tq6RfqYqtvF2FouY2owJk/xI6GqyAsAEtvFeB05VA63S/m7VthZO9OIiBJEshc/Ut2P9ult27YNxcXFAX9e31CPTTt+1mx3qr64NZvNMBgM3r7Ye/fuxd69ewMe12AwYNq0aXj88ccV1XkpNAkXmJ577rmYMmUK3nzzTUiShOeffx6vv/46LrroIowcORKdO3dGamoq6uvrsX//fqxatQqffvopamtrIYSAJEm45pprcM455yiO++abb8LtdkOSJIwfPz5Oz46IWg0/GdNw15hq+pgGXWMaIGMak6q86rWvjUGcwZREgalqrZAkGTTfyLdl6mm8ufnZsNmS59+fKNlIkjJY06mAbMJIiD6mfgwYMACHDh3C119/jRUrVmDTpk3YvXs3ysvL4XK5kJGRgdzcXAwaNAijRo3Ctddei06dOsV72K1WwgWmAPDyyy+jvr4eH374ISRJQm1tLd555x288847fvf3TfdPmjRJ08MUaMyY3nDDDQCASy65JCbjJqLkoZnKawIkY7RTef2/5QohTmRMDS0xldehuG9rypgmUWAqsyJvQEIITWDaqXOHOI2GiEKifgtLkMBNL/7WmDYlnCIRKKvZUOvAvp2Nyxi6plUgxXeWUkFXSJna9i75+fm47rrrcN1110U0FgpdQgamZrMZ77//Pl566SXMnj0bBw4caHaueWFhIWbPnq2Zwttkzpw5sRgqESUp4YyuhyngJ2MaoI+po8EF+Xh5QJsqYxqLqrxtcSqvwcCKvE0qjlWjvl5ZZbKoiOtLiRJasreL8XOJFdA+7ajP4zMlWhNZJFmw3xolZGDaZNq0abjxxhvxxRdfYOnSpdiwYQPKyspQW1uL9PR05OXl4ZRTTsHYsWNxwQUXJGUbGIfDgTfffBMffvghNm3ahMOHD8NqtaKgoACDBg3C2LFjMWXKFM5jJ9KZJmNqDT/j1hDiVN6mbGnjPqo1pjGpyut/Kq9kSJ7AlBnTwA6UHFLcT89IRWZ2epxGQ0Qh0fRTic8wYkWdMQWOz4jUeQmGQRGYqtftJtmL2goldGAKNC4injBhAiZMmBDvobS4H374ATfddBN27dql2O5wOFBVVYWff/4Z77//PgYOHIixY8fGZ5BEyUrVLkayhH9xVE/lDRiY1voGpi3QLkY1lTcZ+5iq15gaWPjIa79mGm8B198SJbokr8qrXmMKxOYp+mZMZdF8uxhqWQkfmLZVX3zxBSZPngy73Q6r1Yobb7wR5513HoqKiiCEQHFxMZYtW4YPP/ww3kMlSkrCrsq4hVmRF/DXxzSSjKm+U3ndHg9cqnHZkjBjqp7KK3EqLwCgrrYBlceqFdvYJoaoFUj6NaZa0baM8ccQdCovM6bxxsA0AZWUlODqq6+G3W5Hr1698MUXX6B79+6KfYYPH44rrrgCTz31FFyqaXlEFD3NGtMIAtNQ+5i2ZMbU7ta+X5zImCZHYCqE0Hyg4VTeRgf2K7OlFosZ+e21xT6IKMEk/RpT7TVWjkHOVLHGlBnThMMrdQK68847UV1djZSUFCxatEgTlKqZzeYWGhlRG6JeYxrBVF5tuxj/f6t11YEDU72LHzWoerQ1nrPxE06yZEyFrP3EZmBgCgA4sE+5vrSwqD1fG6JWQFKtMU22GMp/xjQG55Ek77pVZkwTT8JnTGVZxo4dO7Bnzx5UV1eHlR28/vrrYziy2NizZw8++ugjAMA111yDvn37xnlERG2TUK8xjWHGtKGm5TKm6oq8jec8Pu01SaryysKj2iJB4hpTOJ0uHDlcrtjGabxErUQbyJhKkCB8wkURi4ypJMFgAGSPv+JHSRbtt0IJG5gWFxfjz3/+M9577z3U1NSE/XhJklplYLpgwQJvNcnJkyd7tzscDhw8eBAmkwkFBQWwWCzxGiJRm6AJTCNoF2N3h1b8qK6msXWHQZJhMag+begdmKoyphaDDOPxmE1KkuJH6owpM4KNDh0s87YlAhpfl46d2sdxREQUsiRfYwo0fnb3XYYRizWmwPHss0f4mcqbZNF+K5SQgelHH32EKVOmoKGhIWa/lInqxx9/9N4+5ZRTsGXLFjz88MP47LPPvNliq9WKcePG4f7778eYMWN0O/eRI0dQVlYW1mPUFYOJkoYqMEVK+MGNeiqvLUAf04aaxmDRavAzI0Tnqbx2TQ9Tn+xikk7l5frSRvtV03jbd8iF2ZyQHwOISC3JM6ZAY+zt+7Ri9RQbZ9DI2uPLbSvmSEQJd0XasWMHrr76ajh9vtXv3LkzBg4ciHbt2sEU4INdstiyZYv39vLly3HTTTfB4VC2drDb7fj888/x+eef49FHH8Xs2bN1Ofdzzz2HOXPm6HIsotZO3cc03IypLAQcqsqwKc1kTG3qabyA7oGpeiqvt/ARkmeNqcyKvBqyLOPgAeUXj0WcxkvUemgypnEZRUxJkqR4XrFKTjV9V8niR4kn4aK8v/3tb3A6nZAkCX379sULL7yAM844I97DajHHjh3z3p42bRqcTifuuece/Pa3v0XXrl1x5MgRvP3223j00UdRX1+POXPmoFu3bpg6dWr8Bk2UhKJdY6rOlgKBp/I2rTHVtIoBYj6V1zcwTZY+puxhqnXk8DG4nMovPri+lKgVUVetTcIYqqVatTbNotGuMU3CNHQrk3BX6yVLlgAAUlNT8fXXX7epoBSAYj2t3W7Hv/71LzzxxBPo1asXLBYLioqKcO+992LhwoXe0toPPvgg7HZ7vIZMlJSEQ3WBCjNjqi58BATLmDYFpqqMqdEEmPRdT67NmDZmFwUMgJQca9dlTuXVOFCibBOT0y4LqWm2OI2GiMLmZypvsi13U7eMiV3GlFV5E1XCZUyPHDkCSZJwzjnnoLCwMN7DaXE2mw21tbUAgF69euH3v/+93/3OPfdcTJo0CR999BEOHTqEb7/9FhdddFFU577ttttw5ZVXhvWYXbt24dJLL43qvEQJKcriR/4C0+YzptqKvP56u0VDHZjajmdMBVJ0P1c8CCEgVFN5DW18Kq8QQhOYFnVhtpSoNfE78UPAf5+VVkpSPZlYVOUFTrTe4VTexJNwgWl+fj4OHDiAgoK2edHMyMjwBqYTJkwI+kHxoosu8raWWb16ddSBafv27dG+PSs0EgHRrzF1eNQtSwK3i6kLNJVX5/WlAGDXTOU9njGVkmN9qb8PFm09Y1pVWYO62nrFNk7jJWpl/Db6bPFRxJRB9Zk3VrWITmRMGZgmmoS7Wvfu3RsAUFpaGueRxEfXrl29t7t06RJ0X9+fHzlyJGZjImqLhDO6NabqjKlJMsAcIHPXlDHVFD9K0T8wDVT8SEjJsb5U9jMVq633MFVnS1PTbMjOyYzTaIgoIgY/16Akm3mqXWMa64yp+oRJ9oK2Qgl3tb7hhhsghMD333+Purq6eA+nxQ0cONB72+Mn4+LL9+fJXq2YqMWpMqawhPd2aXcrg8xA03iBIGtMbfoWPgKCFD8yJMd6Q/U0XkkyJMUU5WioA9NOnQva/GtC1Or4zZgmV4av5deYMmOaaBIuML3mmmvQt29fVFdX4/7774/3cFrcuHHjvLd/+eWXoPv69hAtKiqK2ZiI2qLoq/KqW8UEXucYsCqvzhV5AX9rTBvHKSVJRV4WPlKqr7ej/GilYhun8RK1QoHWmCYR9VOMXR9TFj9KVAl3xTabzVi0aBE6deqEuXPnYtq0aTh69Gi8h9ViJk2aBJutMXOxaNEiTQ9TX++884739tixY2M9NKI2RdhVAU6UxY9CypgalBlTKQZTee0BpvJKxuQITIUqMDW08cD04H5lttRsNqF9QW6cRkNEEfNzCUq2OKqlM6Yyix8lnISc/9mzZ0/89NNP+O1vf4tXXnkFb731FkaPHo0BAwYgKysr5ClIjzzySIxHqr/09HTcddddeOyxx3D48GHcc889+M9//qPZb+7cuVi+fDkAYPjw4Rg5cmRLD5UouanWmEbbLsYaYLq9EOLEGlOTuipvS6wxbcqYJkfxIyHUU3nbdkVe9TTejp3aw2hs28E6UWskSVJjcOp7aUqyOEpblTdG5wk4lTfJIv1WKCEDU6BxGmtVVRWAxn6e33zzDb755puwjtEaA1MA/5+9M49zorz/+Gcm994HLCy3CCgIKCqiooWq1EqLWtCfgge0HsWrWmsPf2q9WrWH9Wg9qxVQa6tUhVbLTxFEwYNLFFC5cbmXvdgz2SQzvz+ym808M7ubbM6ZfN6vFzUzmZnnSTbNk898vgf+93//F//+97+xadMmPPHEE9ixYweuvfZaDBkyBJWVlXjllVewYMECAEBubi7++te/pnnGhFiPeKvyisK0sx6mvhY/lLbSg6JjmpRQXiHH1GMPLcSy3RrClKG8Hfj9ARzcr404YhgvISZGFKYW01Gi75Qsx7TTdjHJKgNMoiYjhem8efNwzTXXQFEUSJIU6ksX44fTzIUd8vLy8H//93/4wQ9+gNWrV2PJkiVYsmSJ7rg+ffpg4cKFOP7449MwS0KsjU6YxlmVt7NQ3uZ6X8Qxqc8xbQ/llW3WEKYM5e3g4P7DGqEuSRL69e+dxhkRQuJChlaMWiz0VBYcTCVJnmlH8SMBOqZpJ+OE6SeffIKrrroqLERtNhtOP/10jBkzBsXFxVlTfbZfv3746KOP8NJLL+Ef//gHPv/8c1RVVSE/Px8jR47EtGnTcN1116GggCX/CUkGYruYWEN5fVE6ps2NkcI0+aG8+hzTUOirFYRp6Cam6JhmbyivGMZb1qcETpczTbMhhMSNuAxZTEfpc0yTNE5nobwIrSNmNrfMTsapvD/+8Y/hD8UZZ5yBF198sdt+nlbFZrNh9uzZmD17drqnQkj2oQvljbFdTIY6ps1iKG+4XYwVhKn+V5qcpT1MFUXFvr36NjGEEBMjC7G81jJMU9bHVO4slBcIuaZZXpsgnWScMF25ciUAoKioCIsXL0ZhYWGaZ0QIyUZ07WJidky1RXg6FaZdOKZSCh1TK7SLEcN4AeiTlrKE6sO1aPVpP0/9B/ZN02wIIQkh6xzTJOeYGj1psfBos5FxwrSurg6SJOHss8+mKCWEpA3VJ4SExppjGtCKAncnfUyb6rsI5U1wuxh/MIiAIN7cFnJMFUWoyCvbsjYka++eg5rtwuJ85OUn/kYHISSFCAEgyRJu6SKRfUx3796Nd999FytWrMDGjRtRUVGBxsZG5Ofno1+//jhuxPE4/7wLMHTyMO2JXeSZ7t+/H2vWrMGaNWuwdu1arFmzBjU1NeHnd+3ahSFDhsQxa5JxwrSsrAz79u1DSUlJuqdCCMlmfAluF9OJY9reKiZ0jCBMPXkxjdkdLa36vsieNsfUCsKUhY86EPNLBwxgGC8hZkeSBJfP6o5pD0J5P/vsM8ydOxerV682fL62tha1tbXYvHkTXn3jZTw34WTM+929GNSvPHRAJ5V5+/XrhwMHDsQ8HxIbGSdMR48ejX379qGioiLdUyGEZDHxt4vRunedFT9qavCGH7tlMcc0sQ6XWJEX6HBMrdDHVBELH2VpfmlDfSMa6ps0+/oPYhgvIabH8jmm8YfybtmyRSdKR4wYgdGjR6NXr16oq6vDqlUfYd++vQCA9z9di9P/Zw4++PvzGDpoQKehvBSlqSHjhOnll1+OJUuWYMWKFaiqqkKvXr3SPSVCSJahBlRAqyvjbxfTSUXxloYOseixi6G8iS1+5PX7dfuc7aG8VqjKK4TyyllakbfyYI1m2+12oaSUqTGEmB7L55hqt+OJVB42bBiuvvpqXH755ejfv7/muZYmHx753Z/xmz/8Gi3eFuyvPIzLb7sDq/45D1IXobxutxsnnHACxo8fj/Hjx6NPnz4499xzez5JoiPjhOnMmTPx/PPPY/ny5fjxj3+MhQsXZm2OECEkPYiFjwDE3S6ms1BerWOa3OJHzUIor0sOwtb2sqxY/EjK0lDeykqtMC3rW8J1lBAroCtbay3LNBF9TMvLy/HCCy/giiuugK2T2g52uw0zLrgUBQWFuOnn1wIAPtmwEe+s/BjnzjzG8Jz169djzJgxmraVu3fvjnl+pGsybtWWJAmvvvoqzjzzTLz55puYMmUKNm7cmO5pEUKyCQNhGm+7mM5CebU5pkIoryfRjmknrWIA0+eYqqoKhcIUAHD4ULVmu3ef0jTNhBCSUBJZHSgD0eeYxs6kSZMwZ86cTkUp0FGVd8q3z8P4saPD+996f2WnxY/GjRunEaUkOWTcO/yjH/0IADBo0CA4nU4sX74cJ5xwAo4++miMHj0ahYWFUd35lSQJzz//fLKnSwixIGJ+KdCTHNNoHdOQMLVLQdhlYUFMcB/TFr9YKbgj9NX8OaYqxJ8x2RjK29TUgqbGFs2+sj4sJkiIJdA3+rQUekM4ue1iAOC0cSdgzRebAADf7NtvORfabGScMJ03b55hH6MdO3Zgx44dMV2LwpQQ0hPUVv0d01hzTKMN5W13THUVeYGEt4vR9zC1jmMquqVAdhY/OnxIG8brdDpQWJSfptkQQhKKLCZhpmcaySJVfUzliPcxcsxgUOmyXQxJPhknTAHjD2KsH07m0xBCeoyBYxpzu5hAbI6px0iYJjzHVBCm9o4F2OyOqS6/VJKych3QhfGWMb+UEKsgtouxmoYSbyUmS3dLkgRJlqAqKjZt3RbeP6C8Dx3TNJNxwvSFF15I9xQIIVmOrviRHZBsMTqmQoXY7h3TgP7JBIfy6h3TiDnKzoSOlWrEirxSFobxAkCl4Jj2ZhgvIUlHVRSgoab7A+Mdp8kPNEV81zlkqEdM8N2dXxJVzr9RH1NVVZNyc02SJezbvxfvf7omvO+c0ydYT+2bjIwTprNnz073FAghWY4oTGPNLwX0jqmrk0IMTZ2F8tqdkOyOmMftihbRMW0L5VXghCSZW8ixhyng9fpQf6RRs4/ClJAU0FCD4KyjUzKUuBoFDY/KLGx/3wEUdt/+UexjCoTEqdH+eJElCQ/96T4E23qOD+rXF9PO+hYd0zSTfSs3IYR0h+iYumP/qtT3MTUWmZ06pgkO4wWAFl1V3rafNJK5w3gBfSivnIUVecX8Upvdxv6lhBDTYGSMKknSia//+zW8s+zt8PYDP7sJLqeTjmmayb6VmxBCukGsyis5Y7tb61eCCAiLW3c5pm6bVjQmOowX0AvTdsdUNXl+KQAoDOXVCdNevYuzUqATQsyJ2McUCDmmiWbt2rW46/5fhrdnfv+7mDXtvNBGspQwiQquWIQQIqAL5Y25Iq8+uMoolFdV1Q7HVE6+Y+rtJJRXkl0JHyvV0DHV55eyTQwhxEwY5ZImOrJ2165dmDZtGnw+LwBg9IgReOq+/40YkI5pOsm4HFNCCEk3qk9YmGLMMRVbxQDGjqm32Q+l7e6sLsc0CY5pc2ehvCZ3TFVVhSrmmGaZY+pv9aOu9ohmH/NLCUkR+SWhPMokE6wOQN3Xsb5IHgm24Sa4sZgf3XeR0UqbSMf0wIEDmDJlCg4ePAgAGNh/EP717LMoyMuLGJCOaTpJizC98MIL8dBDD+HYY49NyXhff/01fvWrX+HNN99MyXiEEJMTZ/EjMb8UMBam7W5p6HnRMU28MO2sj6lsemGqv8MtZ1nxo8OHazW/p2RZQmmv4vRNiJAsQpLlqIr7xIscDCJY13ETU/VIkApNIEyjRJIkSJA0YlRJkFCsrq7GlClTsGNH6AZCWVkfvPDkKyjrXQzA23EghWlaScvKvXjxYowdOxaXX345vvjii6SN8/nnn2PWrFkYO3Ys/v3vfydtHEKItdDlmCZAmLoMhGmTRphqHVMpGcWPdKG8IcdUspv7h40YxgvAuIqGhRHzS0t6FcFuzy7XmBDLI36tWTDqVPzqToRMrK+vx7nnnovNmzcDAHr16oV/LngdA/oP0utQhvKmlbQI0379+iEQCOCVV17BuHHj8K1vfQsvvvgiGhoa4r52Q0MDFixYgDPPPBMnnngi/vnPfyIQCKB///4JmDkhJBuIP8dUaBUj2yAbCKVIx9QjhvK6kl+VN+yY2sztmCqKPow3GX3vMhlRmJb1KU3TTAghSUP81W5Bd09sDaPG+RqbmpowdepUrFu3DgBQWFiIJUuW4JhjQlGbqqj2Lfiemom0hPJu2bIF999/Px577DH4fD6sWrUKq1atgtPpxOTJk3HWWWfhzDPPxJgxY5Cb23U4W1NTE7744gusXLkSy5Ytw/vvv4/WNldAVVW4XC7ccsstuPPOO1Px0gghVkBsFxNjVd4WXQ/TzirydoQPpSLHVN8upr34kbmFqapqi01lW+GjQCCI6qo6zb7eZcwvJcRyZIVjKmls0nhyTL1eL84//3ysWrUKAJCTk4O33noLJ510Eg5W1LZdXxSmFnxTTURahGlubi4eeugh3Hjjjbj33nvx4osvorW1FT6fD++88w7eeecdAKEPZ79+/TBgwACUlpYiJycnVMWypQVVVVXYu3cvDhw4oLmb0v7Y6XRi9uzZuOuuuzBgwIB0vExCiEnRhfLG2MdUrMrrtht/1TY3dAhFXY6pJwk5pp2E8pq++JHomGZZfmlNVZ3GNZYkoFcZ80sJsRw6xzQts0gq4kvsafcWv9+PGTNmYNmyZQAAl8uFRYsWYeLEiaFx2qJqGMqbWaS1Ku+AAQPw17/+Fffffz+eeOIJzJs3D/v27Qs/r6oq9u3bp9knIlr8/fv3xw9/+ENcf/316Nu3b9LmTgixLrpQ3jhzTF2dVIht7soxTXAor6qqnYbymt0x1fcwzS5hWnmoWrNdVFwIp9ORptkQQpJGMhIwMwwxDaMnjmkwGMSsWbPw9ttvAwDsdjteffVVnHPOOR3jyG3ClKG8GUVGtIvp27cv7r//ftx3331YsWIF/v3vf+Pdd9/Fl19+qcsdEpFlGaNGjcKUKVMwbdo0TJo0KetyiwghiUXXLibGHFNvUCsy3XZjkdDcRY6plOBQ3tZgQFfd0GO3pmMqZ1mrGDG/lG1iCLEoBqG8qqpa6nevPsc0tvNVVcVVV12FhQsXAgjphBdffBHnn3++5ji5XZiqFKaZREYI03YkScLkyZMxefJkAKH80U2bNmHXrl04dOgQmpqaAIRCgfv27YujjjoKxx13XLd5qIQQEhNxOqa6UN5Ockyb67tqF5NYx1SsyBsas90xNXdVXkXXwzR7HFNFUVB1uFazr4zClBBLYpiloMK4AahJkYXXosTomD711FOYP39+ePvoo4/GypUrsXLlSs1x3uZWtDS2wmULaG4M/+Wh+w2v+/TTT+Ppp5/W7GsV1tWpU6fC6XRq9s2dOxdz586N6TVkMxklTEVyc3MxYcIETJgwId1TIYRkEYluF+OydRLK2xghTGUhlDfBOaZiD1OgQ5ia2TFVVUV3h1uWsscxra0+gkBAeyOEjikhFsVoKbKYwRdvVd7KykrN9rZt27Bt27aoz//Lg/cZ7j948CA+//zzLs/96quvDM8j0ZM9t5UJISRK1NbEtouJzjEVc0wTK0xFx1SCCpfc5piauF2MUQ/TbHJMKyu1YbwFhXlwu83tgBNCOkG0EwHLVebV55immG5SCElyyWjHlBBC0oJXbBcTm9BpiVaYNqYwlNeg8FF4/TdxKK+uh6kkWSrfqjuYX0pIFmHomForlld8JbE6pvfccw/uueeebo9rqG3G/p01yHP40M9THzlgXNcl8ZE9t5UJISRKdFV5Yy1+FEiAY5p0YdoR/inJnoSOlUpUXX5p9oTxqqqqE6bMLyXEwnSWY2ohZOHGYqw5ptEisfhRRkJhSgghAqpXEDsxFz/qiWOa3Kq8YiivxxbxGk3tmAqtYrKoh+mRuga0tmo/N737lKZpNoSQpGOwFFmt7abeMU3SOOF2MeKAFntDTUb2rOCEEBItQo4p4i5+1J1jqhqE8iZYmHbSwxQwdx9TfauY7FnWRLc0N9eD3Fzzut+EkK6RJMlAuaVlKkkjEX1Mo6HdmWUf08wie1ZwQgiJknir8uraxdi7dkwdchA2SVgMExzK6/ULvVUjQnnNXJVX55hmUShvJfNLCck+DHqZWol4+5hGPU6nobwWe0NNBoUpIYQIxJ1jGm27mDbH1CPmlwKJd0xbfZptOqbmJpRfWq3ZV8YwXkKsj/gVZzGHT6xdlzTHVO7cMY214BJJHNmxghNCSAyIwjT2UF7RnezaMdUVPgJSWvzIrDmmqqrqix9lSY5pY0MzWlq0NxvomBKSBVjcMZWFF6gkSSS2O6aK0eUpTNNGdqzghBASC6Jj6ortq1IXymtz6I5RVRUtDW3CVA7onk94H1MhlLe9+JEKGyRZPz8zIIpSIHtCecX8UpfbifyCxH5mCCEZiNjL1GIaKlV9TNuja3SOKcBw3jRCYUoIIQLx5piKobxug1Beb7MfStutWp1j6nRD6iT8t6d0GsorWSeMF9D/qLEqlQZhvNny2gnJaizumMbbxzTqceT26xsJU4upfRNBYUoIIQJqa2JzTI1Cedvd0tDzYkXexIbxAgbFj+whV1c1aRgvYNTDVM4acXa4kv1LCclKLJ9jmpqqvKEKx5Lx1emYpg0KU0IIERH6mCajXUxThDDVFT9KcBgv0Hm7GDMXPhIr8spSdoTxNje1oLGhWbOP/UsJyQ50xYEspqFEYWKYA5oAJEmCLEudhPJaS+ybCQpTQggR0FXljVWYBmJ1TAVhmgTHtLPiR2YWpmIor5QlFXlFt9ThsKOwKD9NsyGEpJSsyzFN3guU5JAG1Y1AYZo2Mm4VP/nkk/HMM8+goaEh3VMhhGQhakAFhMja2PuYCsLUoI9pU4O343lRmHqS4Ji2aoVpe/EjyWZeYapkqTA16l8qiz9WCSHWxPI5pmIf0yQK07ZEU/YyzRwybhVfv349rr/+epSXl+OHP/whVq5cme4pEUKyCF2rGACIIcdUVdWoQnmbGzqEophjKiUhlNfbWSivzcQ5pmIob5ZW5GWbGEKyCH11oLRMI1mk0hDu6GUqYLH31ExknDAFQj/smpubsWDBAkyaNAkjR47Eww8/jMOHD6d7aoQQq2MgTCVn9F+VfkXRLXJGobzNEY6pLseUobxRoWRhD1OftxVH6rQRRWVlzC8lJGvQJWGmZRZJQ3RMk9XHFOjoZUrHNHPIuFX8+eefx8SJEwG0N09XsXXrVvziF7/AwIEDcfHFF2PJkiVpniUhxKqIrWKA2Kryim4pYNwupjnVOaat1ip+pKqq7q52NoTyivmlNpuM4tLCNM2GEJJydI5pWmaRNFLVxxTowjFNVsUl0i0Zt4r/8Ic/xIcffoivv/4at912G/r06RMWqK2trXj99dfxve99D4MHD8a9996LioqKdE+ZEGIh1FaD3pgxCVO/bp/b5tDta66PEKay2C4msaG8iqrqQnk9bY4pzCpMDXqYytkgTIUw3l69i2GzWf91E0LasHrxI2E7qTmmYWFKxzRTyNjVbMSIEfj973+PvXv34vXXX8f3v/992Gy2sEjdu3cv7rvvPgwdOhTnnnsuFi5ciEBA71QQQkhMGDimsbSL8QaDun2GobyNXTmmiRWmrQG/QXixuR1TRRXfZykrQnkrD1VrttkmhpDswvLtYgyq8iZLnMqdhvJaTO2biIxfxW02Gy688EIsXrwYFRUV+O1vf4thw4aFBaqiKFi6dCkuueQS9OvXD7fddhu++uqrdE+bEGJSdMWP7IBk63korwTAYeDkaRzTJIfyNgthvKEx237NmLT4keiYZoNb6vcHUFtTr9nHwkeEZBniV53FRJTRapusV9jumOq0vdXUvokw1UpeXl6O22+/HVu3bsX777+Pyy+/HB6PJyxSq6qq8Mgjj2D06NGYOHEi5s2bh+bm5u4vTAghbcTbw1TXKsZm1+XMAF07plKCHVMxjBfoCOWVZE9Cx0oV2djDtOpwrcY5kCQJvXoXp3FGhJCUY/V2MQbrJR3T7MG0K/m3vvUtLFiwAAcOHMBTTz2F0aNHA+gomPTJJ5/gqquuQr9+/XDTTTdh69ataZ4xIcQUiI6pO7avSW+g+x6mgOiYCmkIrsQ6pmJFXhkqHHLb65RN6phmYUVeMb+0tFcR7PbsaJFDCGnD8jmmemGqr3WfoLGYY5pxmH4l37RpE1avXo1du3ZBkqTwv3aBWl9fjyeffBLHHXccrr32Whw5ciTdUyaEZDBiVV7JGZtjGk0PU6CbHFNPYh1TfUXeYDhPSTKpMFWy0DHV55cyjJeQrMPyjql+X7IMzPZ8VvYxzRyMfzFlOIcPH8b8+fPxt7/9DVu2bAnvb7f6TzjhBEyfPh3Lli3DihUroKoqgsEgnn/+eaxcuRIfffQRioqK0jR7QkgmowvljaEiL2AcymtEl45pgkN5RcfUY4/4JWPaUF5t8SNZtrZzGAwGUX24TrOPwpSQLMTiOaaygWOqJtsxZShvxmCaW8yqquKtt97C9OnTMWDAAPzyl7/Eli1bws5obm4urr76aqxevRrr16/HnXfeiWXLlmHbtm34yU9+AqfTCVVVsWXLFtx///3pfjmEkAxF9Qm3n2PMMRUd006FaYRj6hEd0wSH8oo5puHCRzCvY5ptobw1VUd0LnHvMgpTQrIOyzumEsQXmfQcU4byZgwZv5Lv2LEDd9xxBwYOHIjzzz8fixYtgt/vDwvSk046Cc888wwOHDiAZ599FieffLLm/KFDh+LRRx/FypUr4XCEegm++eabaXglhBBTEGfxo6iFaQqr8hqF8oYxYbuY9u//SKweyiuG8RaVFMDp1PfHJYRYG0kWRVuaJpJExG/zZMnEDsdUHNCCb6pJyMhQXq/Xi4ULF+L555/HBx98EN7f/kMkPz8fs2bNwrXXXotx48ZFdc2TTz4Z5513HhYvXoy9e/cmZd6EEPOjyzFNgWPqloWqvJ68mMbsDl0or8YxNaEwVfQ/U6zeLqZSKHxURreUkOzE4o4p0OaaRqjFnjimu3fvxrvvvosVK1Zg48aNqKioQGNjI/Lz8zFgwACcdtppOH/qDzBswGgoUTimTU1NWL58Od577z2sX78eW7duRU1NDex2O3r16oVx48bhvPPOw+WXX47c3MSm42QTGSdMr7vuOvzjH/9AfX2oV1vkh/GUU07Btddei0svvRQ5ObE7CoMHDwYABISqmYQQ0k68OabRFD9SVRUtDe3CVIVLl2NKx7QrFDUo7JEsHcqrKAqqDtdq9jG/lJAsRZdjmpZZJBVx1Y3lJX722WeYO3cuVq9ebfh8bW0tamtrsXHjRjz77LM45aTT8OxDv0Hx4IjWW4IQvvzyy/HGG28YtqBsbW1FRUUFKioqsGjRItx555145plnMH369BhmTdrJOGH6zDPPhKvqAkBhYSEuu+wyXHvttRg7dmxc17b6HXVCSAIQ28XEWJXXF9SKJiPH1Nvsh9IWKuSSA7rq/8wx7Zps62FaV1uPgF9786J3n9I0zYYQklZ0jqn1lGnIMe3YjsUx3bJli06UjhgxAqNHj0avXr1QV1eHjz76KBw9uXrdx/juZTOx8u/PYeigAW0DateYhQsXwufriHIqLi7GKaecgn79+kFVVXz11VdYvXo1VFVFVVUVZsyYgaeeegpz586N8ZWTjBOmQOgDeNppp+Haa6/F//zP/8DjSUzVyF//+te45ZZbEnItQog10Tum8fUxddn01WKb673hx7rCR0DCq/I2dyFMYTNfVV5RmFr9pmPlQW0Yb35BLjwe891QIIQkgKxwTIU82h68yGHDhuHqq6/G5Zdfjv79+2ueUxQF8+bNw0033YTm5mYcrKzE5bfdgVX/nKcLI24nJycHM2fOxI9+9COceuqpunVn8+bNuPzyy7FhwwYAwI033oiJEydizJgxMc89m8k4YfqTn/wE11xzDY477riEX7u4uBjFxcXdH0gIyVpSkWPa3Nga8bxBakGCQ3m9rWKOacjVVSEBkjOhY6WCbKvIe7hSyC9lGC8h2YvY6NOCwlSMIorFFC4vL8cLL7yAK664AjaDG8NA6Gbmj370I+S48zDzsksAAJ9s2Ih3Vn6Mc888XeeY3nTTTbjtttvQp0+fTsc97rjjsGzZMowbNw7ffPMNgsEgHnjgAbzyyivRT55kXlXeRx99NCmilBBCoqJVKHoQbx9Tu4EwjXBMdRV5gYSH8rb4tWOEHVPJ1Vaa31yIbVOsHMqrqqquIi/DeAnJYgyKHyWrnUq6iMcxnTRpEubMmdOpKI3kwgsuxNjjTghvv/X+yrYBteP94Q9/6FKUtlNcXIxf/vKX4e233347ukmTMBnnmN53330AQoWOvvvd78Z8/tKlS/HRRx8BCIXuEkJILOgc0xhzTKMpfqSpyGvQwzTRQqvF79Nsh4sfmbDwEQCoijaPV5a7/wFiVuqPNKLVp/2M0DElJHsxDBBRoResJka8YZos3S3JEsYdfzK+2LwBAPDNvv1tA/a81PHEiRPDj+vr61FTU4OSEn5nR0vGCdN77rkHkiThhhtu6JEw/b//+z88/PDDkCSJwpQQEjM6YRpnVV6PkTBNYQ9TwKgqb2jRNWPhIyC7QnnFNjE5uW7k5iX+M0IIMQlGS5K1DFODPqbJeYGyLGlEcDDYtrbEoYRFUR0MilXkSVdYdzUnhJAeoLYKC1KcOabdO6bJbRUDAF4hlLe9j6lkM59jqqqqLmzNyqG8hxnGSwiJRFfGHZbrZap3TJMjTCVZwtbtX4e3B5S3hevG4Zhu3Lgx/Njj8aBXr149vlY2knGOaby0f3jNmDdFCMkAdMWPYqzKG03xoy4d07yYxouG5k5CeSUThvKKFXkB61blDeWXsvARIZmOqipAsCE1YwVVqNBGwah+RycxvhmCLT+myBZ9jmly2Lt3Dz5d+1F4+5zTJ7QN2PMR582bF3581llnUY/EiOWEaV1dHYBQWWdCCIkVXbuYGB3TaPqYNjdECFM5BY5pq1D8yN4m7swoTHV3siXLhvI2Nbagpdmr2VdGx5SQzCPYgObNP0zdeEJavX9b6obuCTnHvQDYC6M+Xld4OEmO6W0/vy0cajuoX19MO+tboSd62Bv2P//5D959993w9g033BD3HLMNS63mfr8f77//PgDoehYRQkg0qF4hfzHWHNOAVgQahvI2dO6YSsnIMdX1MW13TM2XY6oIhY+sHMZbdbhWs+1yO5FfkNget4QQkmnIgmOajBzT+fPn41//+ld4+4Gf3QSXs619Wg9CeQ8cOIBrr702vD1lyhScd955cc8z20irY7pgwYJOn/v666+7fD4Sv9+Pffv2YdGiRdi5cyckScKECRMSNU1CSDYRZ46pT4nNMfXoqvImVngEFQW+gHGOqSkdUyGU16phvABQW31Es13aq4hhYYQQy5Psqrxr167F3Llzw9vnf/d8zJoWISJjHLC1tRUXXXQRDhw4AAAoLS3VhPSS6EmrMJ0zZ47hIquqKt577z289957PbquJEn48Y9/HO/0CCFZiK4qb6zFjwJi8SN9K5OuHNNEh/KKhY9CY7Y5pqYsfpQ9FXlrarTCtKQ0+lA4QggxK+KqG0sf0+7YtWsXpk2bBq83lCZx7IhR+M0dvwEQsXbH4JiqqorZs2eHW1U6HA688sor6NevX8LmnE2kPce0s7jxnsaTezwe/OlPf8Jpp50Wz7QIIVmKLsc03nYx9u5CeYUcU09iHVOvEMYbGrPdMTVjKK8gTC3qmKqqitqaes2+4hIKU0IyElt+KI8yRfg3+4CI4BzbUDvkvAzu52zLj+nwZFXlPXDgAKZMmYKDBw8CAIYOHYoXnv478vIKAGgLzamqGlWEyo033oh//OMfAEIRPPPnz8eUKVMSMt9sJK3CdPbs2bp98+fPhyRJOOaYY6IKx5UkCW63G6WlpRg9ejTOO+88FBQUJGO6hJAsQBSmsYTyKqqK1hhDefWOaWKFqZhfGhqzvY+pJ6FjpQJVeH9lOYN/jMVBU2ML/ELRqmI6poRkJJIkx1TcJ+7xZK9GmEqSA5LdOt+F+j6m8VNdXY0pU6Zgx44dAIDy8nIsXboUUksOFJ9Pf4KqAFLX7+ntt9+OJ598Mrz9xBNPYObMmQmYbfaSVmH6wgv6u0vz588HAJxzzjl4/PHHUz0lQki2o6vKG70j5xPcUqD74kf6HNPEhvK2tGqFqV1S4JDbXqMJHdNsCeWtFcJ4XS4ncnLMF3pNCEkCsgRNE5Vk9VNJE4l2TOvr63Huuedi8+bNAIBevXph6dKlOOqoo/DN15XGwldRuywR+9vf/hYPPfRQePt3v/udJm+V9Iy0h/KKDBo0CJIkobSUJfEJIaknnhxTMYwX6Mwx9UY8rz0n0VV59RV5O5Zgs/UxVVVV9wPFqqG8NULho+KSAhY+IoSEEL8KEmEpZhCJ7GPa1NSEqVOnYt26dQCAwsJCLFmyBKNGjQIAyLIEVTX4bu0iz/TRRx/FnXfeGd6+88478Ytf/CKOWZJ2Mk6Y7t69O91TIIRkMWprz3NMjYSpsWPaIRaTHcor5pi2Fz4CYLqqvGJFXsC6VXlFx5RhvISQMOLXXpL6fKaLRPUx9Xq9OP/887Fq1SoAQE5ODt566y2cdNJJHWPJElSd0ken7+mzzz6Ln/70p+Htm2++Gffff3+P5kf0WHNFJ4SQniL0MY0lx1SsyAt0VpU3wjGVkytMm1u7ckzNFcorhvGGbAPruYiqquocU1bkJYS0oxNuFnNME9HH1O/3Y8aMGVi2bBkAwOVyYdGiRZg4caJ2LFky1qAGb+pLL72kCde96qqr8Mgjj8Q8N9I5FKaEEBKBripvDMJU7GFql2Q4hOI8qqoKjqkgZhPeLkYrTD0RwtRsjqkivL+SLFsyvLWlxQefV/t3Y0VeQkgYWVSm6ZlGsoi3j2kwGMSsWbPw9ttvAwDsdjteffVVnHPOOfqx2t5LRRxDGPT111/HnDlzwu7tzJkz8eyzz1pyDUonaQnlraio0GwPGjSo0+fiIfK6hBDSHWpQ1bQyA2LMMQ1o3U+j/FJvU6smLCnVVXkjQ3lNl2MqhPJaNoxXcEvtDjvy8hN7w4IQYmIsn2OqJZY+pqqq4qqrrsLChQsBhNaJF198Eeeff77h8XKbMA2F80YWlOp4U5csWYKZM2ciGAytnxdccAEWLFhg2TUonaRFmA4ZMiR8h0GSJAQiwt8in4sH8bqEENItYqsYAIghx9QXFFrFdNPDFDASpsmtyus2sWOarRV5WfiIEKJBp9ysZZnGU5X3qaeeCnf4AICjjz4aK1euxMqVKw2Pb2n0wdvsR6HTCwkq/nL3r9oHBQBUVVVh+vTpaG1bS202G3r37o1bbrklqvlcccUVUbW/JCHSWvyoqw9aoprpWo3du3djzJgxaGxsBAAMHjyYBaMISRBiRV4AkJzRix+x+JHLoMdmc6MoFMWqvHlRjxcNomPqsUc4pjZzCVNFcEytWpFXdExLGMZLCIkkGY0+M4h4Xl5lZaVme9u2bdi2bVvU54vCtLGxES0tLeHng8Egnnvuuaivd/LJJ1OYxkBahGl7S5hYn8t22sMT2kUpISSxiPmlQHxVeQ0d0/qOwkcylJTnmJraMRVyTGUD4W8FamrqNdusyEsI0aCPdbUUie5j2iOsVlHKJKRFmHbl8NH965ynn34ay5YtQ58+fXDo0KF0T4cQy6H6DBaiOPqYGvYwbewI5XWJohRIfChvl31MzV2V14qhvD5vK5qbWjT7iksK0jQbQkhGYvXiR7o+pqEe1tEYV/fccw/uueeeqMeqOdSAw3uPYHBuDVyR7dTa1pshQ4YwijOFWG9VtyjffPNNuHnvn//85zTPhhCLYuSYxiFMDXuY1ncIU11+KZD44ketYlVec/YxVVVV9+PAiqG8NUJ+qc0mo6AwseHdhBBzY/V2MUb6M1nSUFv8KHJAitF0YL1V3aK0h/BeeOGFuPjii9M9HUIsiS7H1AZI9liKH8XmmOrCeAHAlRrHVJUckCTzhMLqe5hasyqvWPioqLjAkq+TEBIH4leCxUSU2McUSF44r9SpMLWY2jcJXO1MwDPPPIP33nsPRUVFePLJJ9M9HUIsi66HaQz5pUAPHFNZcEwlCXB5Yhqz2zn5xRY2IcfUdGG8ivgjQYI+0cr81FYzv5QQ0g1WbxdjYJkm3TEVB9A1NiWpgMI0w6moqMDPf/5zAMAf/vAHlJeXp3lGhFgYMZQ3hjBeAPAGonBMG7pwTN25CS/+1tIqtqcJ/YIxWw9TRSh8JMmyJQvlGbWKIYQQDZbPMdWTesfUYm+qSUhruxjSPddccw0aGhpw1lln4eqrr07qWJWVlTh8+HBM52zfvj1JsyEk9YihvJIrtnt3UYXyRghTj5hjmuAwXsCgXUx78SOTCVMxlNeK4a3+Vj8a6ps0+0romBJCRLLQMVWSpL7bHVNFZShvJpAWYTp06NCkjyFJEnbs2JH0cZLJc889h3feeQc5OTl49tlnkz7ek08+iXvvvTfp4xCSqehCeWN1THXC1KCPaUMXxY8SXJEXAFo6DeU1mTAVe5hasCJvba02jFeSJBQW5adpNoSQjEXXLsZa7p6xY5qksdpucuoub7H31CykrV1MMkOwoi0pncns3bsXP/vZzwAA9913H44++ug0z4gQ66NrFxNzjqk23NRtd+iO6VKYehJffbWzUF6zOaaKKEwt6JjWVmvDeAuL82EzuLlBCMlyxK8/i5l7kiRBggQ1Qi6qSXJM2+UCix9lBmkL5WVPoK655pprUF9fj/Hjx+OWW25J93QIyQ4S7pjGmGOa4FDeQDAIvyCW29vFSDZzCVNVyDGVZesJtpoaofBRCcN4CSF6JCHH1Io/qSVJ0miFZOmG9rQQVRfKa8E31QSkRZju2rUrHcOahr/97W9YsmQJHA4Hnn/++ZTdMb/++utjbkWzfft2XHjhhcmZECEpRp9jGm9V3q5DecUcUynBobzegL5PaodjarKqvGoWhPIKjmkJCx8RQoyweI4pEDKFI19Wsl5iR/EjATqmaSEtwnTw4MHpGNYU7Nu3D7feeisA4Je//CXGjBmTsrHLyspQVlaWsvEIyTTibRcTa/EjfY5pbkzjdYcYxhsa03xVeVVV1d0tt1oobyAQRP2RRs0+toohhBii62OallkkFUmSNK8reY5pe7sYOqaZAKvyZhiPP/44jhw5gpycHAwbNgz/+Mc/ujy+qakpfExubi6mTZuWimkSYk3EdjHOJPQxbfBGPC+2i0msYyoWPgI6ih+ZKcdUdEsB61XlPVJbr/vhVVxMx5QQYoDOMbWeiJKEF5msV0jHNLOgMM0wfL6Qw9Hc3Iw5c+Z0e3xVVRVmzpwJIOREU5gS0nP0jmky2sV0tG9xy8l2TLWtYpyyAlvbS5JMFMorVuQN/Sozd4E7ETG/tKAwD3YHl2hCiAFZ4Zhqt5PWx1QK/Y8irikWFPtmwFq3nAkhJA7izjENRCNMvRHPJ1mY+sWKvBEFhEzkmCpC4SNJlk1feV1EzC8tZn4pIaQzdKotPdNIJrIgFJPVx1SSJMiyZBDKS8c0HVCYZhiPPvpoOJ+qq3/tDB48OLxv9+7d6Zs4IVagNd52MV0LU1VVNY6pWPwo0aG8Xl0P047XZ64cU+3fxWphvABQWyMIU+aXEkI6w6D4kdW6XYg3H5P58iRZYh/TDCHj44S2bNmCpUuXYsOGDaiqqkJDQ4Oun50RkiThvffeS8EMCSFWQeeYxphj6tP1MdV+xXqbWjU/HsR2MVKC28WIobyRwtRMjqkYymu1iryKoqCutkGzj61iCCGdYfgVqMJSGQ7iS0lWH1MgVABJVeiYZgIZK0x37tyJuXPn9khcqqpquTAvQkjyibcqb3fFjyIr8gIGobyevJjG644WvyhMO4SzmRxT8Wak1SryHqlr1L1GtoohhHSK0dJkMYNP1jmmyXuBkiRBFd9UOqZpISOF6YYNGzB58mQ0NDRE9UFsF6FWC2MghKQWUZgihhxTvxJEQLjDKobyNumEabKr8nblmJqo+JEulDc1vZ1ThZhfmpuXA6fLmabZEEIyHtlgbVIAWOirMZWtWmVZghoUdlJTpIWME6Z+vx/Tp09HfX2oQuF5552HOXPm4JVXXsGbb74JSZKwbNkyNDQ04JtvvsEHH3yARYsWobW1FXl5eXj44YcxYsSINL8KQogpER1TV/TOnBjGC+iFaYsgTHPsSc4xFUJ5PZGOqc08jqkqFj+yWChvjZBfWlJKt5QQ0gWGjqm1Ynn1OaZJdExZ/ChjyDhh+uKLL2L37t2QJAlXXHEF5s2bBwD44IMPwsdMmjQp/PiGG27A/v37ce211+Ltt9/Gz3/+cyxZsgSnnnpqqqeeUugOE5J44qnKK4bxAoDLpr19LTqmHrtwjivRVXnNn2MqFnwDrBfKqyt8xPxSQkhXdJZjaiH0fUyTLEwZypsRZNzq/p///AcAYLfb8cc//jGqc/r164fFixfj/PPPR319PS699FIcOXKk+xMJISSCeHJMxR6mQPeOadJDebsofmSWHFMxjBewVlVeRVFRJ/QwpTAlhHSJ0dJkMYNP38c0eWOF2sUIO+mYpoWMW90/++wzSJKEU045Bb169Yr6PFmW8cwzz8DpdGLPnj2YP39+EmdJCLEkPmEhitsx7TrH1CVrQ3klT3IdU4+mj6k5ckzFiryhX2TWCVdrbGhCIKANVWarGEJIV0iSpPsatJrBl6o+pkDIMVWs/oaahIwTplVVVQCAYcOGafbbIkLiWlpaDM/t06cPvvWtb0FVVSxcuDB5kySEWBKdYxqDMBUdU5ds01UVjHRMZUmBQ0puKK+3i1BeSfYkdKxkoYj5pbJsqarrNULhI4/HBY/HHDcNCCFpJJXVgdJAKvuYyp2E8jJtLvVknDBtbQs9y8nRhrTl5+eHH1dWVnZ6/pAhQwCE2s0QQkgsxJNj2hLQikyxhykANNV3CFO34JaGdiY2lLdZF8prQsdUV5E345atuNDll9ItJYREg/hVaDERlco+ppJRKC9guffUDGRc8aPi4mIcPnwYTU1Nmv29e/cOP966dSsGDx5seH67aG13XgkhJFp07WJiyDHtrocpALQ0RghTMb8UANzJdUw99naRJwOSI6FjJQsxlNdqFXnFVjHMLyWEREXWOaaxicTdu3fj3XffxYoVK7Bx40ZUVFSgsbER+fn5GDBgAE477TTMmjULkyZNMnZMgbY8Uxl+vx9r167Fxx9/jM8//xxff/01KioqUFdXh0AggMLCQgwZMgSnnHIKZs6ciTPPPDOOV57dZJwwHT58OCorK7F3717N/jFjxoQfv/POO5gyZYruXK/XizVr1gAACgpYbp8QEiNiKK8zllBebcipWPgIAJrqvRHPGzimSc4xDYfyym7ThMMqojC1kGOqqipqhMJHJXRMCSHRIEvQlOK1mLmnzzGNjs8++wxz587F6tWrDZ+vra1FbW0tNm7ciGeffRaTJ0/GI7//C/JsBrqhTQwvWrQIF198cadjVldXo7q6GuvWrcNTTz2Fs88+G3/7298waNCgKGdN2sk4YXriiSdi1apV2Lx5s2b/qaeeivz8fDQ2NuKvf/0rrr76ahxzzDGaY+666y4cOHAAkiRh3LhxqZw2IcQC6EJ53dGLIG9QKzSNHdMOoagTprINsDujHi8a9FV5Q+JZMkkYL2AUymudDvJNjS3wt2o/B3RMCSFRYXnHVLsdrWO6ZcsWnSgdMWIERo8ejV69eqGurg4fffRR2AB7//33cd75U/DSM6/i6JHCzWGDyrxOpxMjR47EsGHDUFJSAlVVcfDgQXzyySfhaM333nsPZ5xxBlauXElxGiMZJ0zPOuss/PnPf0ZlZSW+/PJLjBo1CgDg8XhwxRVX4Mknn0RDQwNOOeUUzJ49G2PGjEFzczMWL16M999/P3yd2bNnp+kVEELMitoqLHxxVOXtzjH1iMLUnZtwF1NflbfDMTULqlj8yEKhvGJ+qdPlQE6uef42hJA0okvCtJZlGm8f02HDhuHqq6/G5Zdfjv79+2ueUxQF8+bNw0033YTm5mYcPHgAP7vzZqxf+FftOtz2npaXl+POO+/Ed7/7XZx88slwufQ3dwOBABYsWIAbb7wRLS0t2LNnD66//vpwG0wSHRknTM8991zk5uaiqakJr7zyCu6///7wc/fffz/+/e9/Y8+ePWhsbMQTTzxheI3vfOc7mDVrVqqmTAixCl4hbDSmPqbdh/JqHdPk9jAFjKrytjum5hA/qkFVRCuF8hrll5olxJoQkl4kWRu9a7W2m7LwVahEqUvLy8vxwgsv4IorrtB09NBcW5bxox/9CMXFxZg+fToA4PON6/F/Kz/Gd888vePAtjd14sSJmDhxYpfj2u12/OhHP4Ldbg+bY2+//Tb27t2LAQMGRDd5knlVed1uN9577z3897//xbRp0zTPFRcX48MPP8Rpp50W/sES+Q8ArrzySrz++uvpmDohxOTE0y5GX/xIvyB2mWOaYGHqDwYREPIzwzmmNrMIU/0vLStV5a0RHFPmlxJCokZUbtYyTHvsmE6aNAlz5szpVJRG8oMf/ACnnHJKePvt91dqD4hWDUcwc+ZMeDyhdmyqqmLDhg0xXyObyTjHFIDmQyIyaNAgrFq1Ch9//DHee+897N+/H7IsY+jQofje976nyzslhJBoUIMqIJiY8QhTT6xVeRNckbel1afb1y5MzZJjKlbkDWEdR7G2Wlv4iPmlhJCosXyOaXxVeaNl4sSJ4ZzU3Xv3a5/sgQ3tcDhQWFiIlpYWAEBDQ0Pcc8wmMlKYRsNpp52G0047Ld3TIIRYBbFVDBBbu5hA9+1iuuxjmmhhKoTxAoCnvY+pSUJ5FTG/VLZZJtS1pdkLr1d786C4hNXkCSFRYvkcUy3JenWRa0pQvBnag/e0qqoKhw8fDm8PGTKkp1PLSqwTE0UIIXEgVuQFAMkZS1Xe7osfRTqmYvEjKcGhvF6/vh2NM+yYmkOY6ivyWmfJEsN47XYb8gsSe3OCEGJhxK9Dizmmcooc040bN4Yf9+/bV/tkjGOqqopf/OIXCLbVnBg0aBDGjx8f9xyzCdM6poQQkkjE/FIg1uJHgjC1a79eVVVFc0MX7WJciRWmzUIor0sOwtb+ckwaymupirwsfEQIiYdUWYppIhWRyhUVFVi2bFl4+9unnao9IIpQ3kAggMrKSnzyySd4/PHHsWLFCgChkN6nnnoKdjulVizw3SKEEACqz2ABiqv4kfbr1dvUqrnjq8sx9eRFPVZU8+msVQwASfYkdKxkoYjC1EKOqU6YsvARIaZFVVX4fPr0iWQSDASgBjrSHSSfDTZvZtqmLpcz5htv+uNDhU4TeQPv1ltvDbub/fr2x9RvTxaGNFb7w4YNw44dOzq9bnl5OV555RVMmjQpQTPNHjJOmC5YsCBh17ryyisTdi1CiMUxckxjEKbdtYuJzC8NPZ/cqrwtQihve6sYAOZxTHWhvN1XWTQLtTVi4SPmlxJiVny+Vrzxz3fTPY2M5QeXTIHbHdu6I1blBQAFKmwJKoA3f/58/Otf/wpv//TGX8LpdEJTBbEHxY+uuuoqPPbYY8jNZWpGT8g4YTpnzpyE3A2RJInClBASNbocUxsg2WNxTLVCUGwX09yoFaZijmmiQ3nFqrxujWNqkhxTsfiRRUJ5fd5WNDW1aPaxVQwhhHRgJAVUFQkpzL527VrMnTs3vH3pJZdi2nd/AFWtMxhQzxVXXBEucOT1erF//358+umnqKmpwfPPP4+3334bv/vd73DFFVfEP9ksI+OEKRB7grMkSUlLiiaEZAe6HqYx5JcCRsWPHJrtlgZBmDq0oivx7WK0YWWRwtQMVXkj+1O3Y5VQ3lqh8JHNJqOgMLGh3IQQYmZkAwUabS/Trti1axemTZsGrzfUV3zs2LF46qmncGhnI1RxzE4c07vvvlu3r7W1FS+++CJ+9rOf4cCBA7jyyiuxe/du3HXXXXHPOZvIOGE6e/bsqI5TFAVHjhzBxo0bsWvXLgCA2+3GxRdfbKnKjYSQFCGG8sYQxgtEEcorCNNcp+AGJjiUt6a5UbNd4OwQzpLNDMJU/4PAKt/tYkXeouICy7w2QghJBEbRk/GaUAcOHMCUKVNw8OBBAMDQoUOxZMkSFBYV4hAa9bI3hvGcTieuuuoqjBkzBmeccQb8fj/uvvtunHXWWZg4cWJc884mMk6YvvDCCzGfs3btWtx88834+OOPcfDgQbz22msoKGC+DiEkenSOqSs2oSD2MXULobyiY5rjTK5jWtWobepd6opwUE2QYypW5A1hjaq1tdXMLyXESrhcTvzgkikpHTN4OAj1QMQNxzwZtqGOLs5IHy6XM+ZzjL7t45Gl1dXVmDJlSrhoUXl5OZYuXYry8vLQeLIEVRVGNVyHuuaUU07BlVdeieeffx6qquKRRx6hMI2BjBOmPeHkk0/GBx98gO9973t49913ceWVV+LNN99M97QIISZCzDGNpfARAHiVrvuYio6pxy5U5U24MNWKnxJXRE6rCUJ5FTG/VLZZpp2KGMrLiryEmBtJkmIu7hMvQVcAir3jBqpkl2BP8RySiSRJkCBpwneVHjqm9fX1OPfcc7F582YAQK9evbB06VIcddRRHePJkkEob8/GmzJlCp5//nkAwKpVq3p0jWzFMrFDNpsNzz33HBwOB/7973/j9ddfT/eUCCFmolVYgGLNMRUdU6F3meiYuuXkVuXtyjE1Q/EjfUVeayxX/lY/GuqbNPuKSyhMCSExIn4lZmanmLgQb0b2RCY2NTVh6tSpWLduHQCgsLAQS5YswahRozTHybKk16E9qMoLAMXFxeHH1dXVPbpGtmKNlb6NAQMGYOLEiVBVtUchwYSQ7EUV+r9JzviKH4l9TMV2MS5Z6HmXZMe0VOOYZv5ddTGU1yoVeWtrtX8XSZJQVJyfptkQQsyKGEBixRqguk6mMb5Ir9eL888/P+xa5uTk4K233sJJJ52kH0uWoCTIMT1w4ED4cUlJSY+uka1YY6WP4OijjwYAfP7552meCSHETMRTlVdVVfh0VXkFx1RoF+OUtI6plEBh2uTz6aryah1TT8LGShaKKEwt4pjWVmvDeAuL8mCzWac/KyEkRciiiErPNJKJrHNMo3+Rfr8fM2bMwLJlywAALpcLixYt6jTfU05gKO9//vOf8OORI0f26BrZijVW+gjayz9XVlameSaEEDOh62MaQ45pqxLULZd6x9Sr2XaqWqGayFBe0S0FgBKnyRxTXSivNcRbbY1Y+IhhvISQHiAuUVYM5RW2lSh1YjAYxKxZs/D2228DAOx2O1599VWcc845nY8lGYfyBgIBHDlyxPAcI95++23861//Cm/PmDEj6nOJxYSpoij44IMPAIRiyAkhJGp0VXmjF6ZiqxgA8Ogc0w7H0i4FYUPyqvKKwrTA4YfT1vH6TJFjKhY/skgor9gqpoSFjwghPUGXY2o9y1SfY9r9a1RVFVdddRUWLlwIIFSf4MUXX8T555/f5XnGjqmCxsZGHHXUUfj1r3+NLVu2dHp+bW0tfvOb32D69OnhkONhw4bhmmuu6XbOpANLVOVt584770RFRQUkScKJJ56Y7ukQQkxEPO1ivEG/bp+uKm+EY+q26Y9PrGOqLXykqcgLZLxjqqqqLpfICqG8gUAQ9XXa/rJ0TAkhPUKXgJmWWSQVSXiR0eSYPvXUU5g/f354++ijj8bKlSuxcuXKLs9rPNICW8CH5+77WeSAAEKi8/7778f999+Pfv36YezYsSgrK0NOTg4aGxuxfft2rF+/Hq0RKTR9+/bF4sWL4XJl9nqbaWScMK2oqIj62EAggOrqamzYsAHz58/Hxx9/HH5u9uzZyZgeIcSi6NrFxJBjKlbkBfShvEeqOiqxum364+FKXiivpvCR5Mx491EM4wWsUZX3SG297odVEXuYEkJ6QlbkmGq3o4lWFlP5tm3bhm3btkU9pihMZVmG3W5HoG2d379/P/bv39/lNaZPn47HH38c/fv3j3pcEiLjhOmQIUPi7lU3depUXHrppQmaESEkK2gVlrwYQnm9QtipDAkOQUjVHOpwyowd00SG8gqOqTOiEJLNDGG8Rj8/zN/DVMwvzS/IhcORccswIcQMGOSYqqpqmX7PQM8c04SiKigoKEB1dTWWLl2KVatW4bPPPsPOnTtx+PBh+Hw+5Obmori4GMcddxwmTJiAWbNmYdiwYamdp4XI2BWxJx8+WZZx3XXX4eGHH07CjAghVkbnmMYiTANiqxib7sdBzaEOseiWBcfU7oDkcEY9XndUNXTumJohv1QR80tl/ftpRphfSghJFIaBLyqscA8vTE/6mN5zzz245557Yh7rUEUtlLpqABE3dtu0SEFBAaZPn47p06fHfF0SGxknTAcNGhT1DxCHw4GCggIMGTIEEyZMwCWXXIJBgwYleYaEECsST7sYXasYu1D4qKlVU/zIYxcc0wSG8QJ6xzSyVQxMIEz1FXnNH8YL6FvFML+UENJjjJYoi4XzxtvHNKaxDPuYWrDUcYaTccJ09+7d6Z4CISQLEYVpTKG83fQwra3UFrxxy4IwTWAYLwBUN4nCNNIxzfxCDGIob6bnxEaDoiioq9X+XYrpmBJCeoqYgAmEkjCt0VkLgL6PqZJE5S3JElRVTGq1mNI3AeZf7QkhJBHEVZVXDOXVCtOag1pBkp8jLHaexAlTr9+PBm+LZp/WMfUkbKxkoYjC1AKO6ZG6Rt3rKmbhI0JITzF0TK0lpPQ5pskbS5ZlveylY5pyzL/aE0JIAognx1QXyisK00NCMaIi4as3gaG81UIYL6BtF2MKx1QXymt+C6BWyC/NzfPA5UpcXjEhJMvoLMfUQoiZfdH0MY1nLH0fU4u9oSaAwpQQQhBfjmm3obyHtKG8JYXCV29CK/JqCx+5ZAkee4TQM0OOqVj8yAKhvMwvJYQkFKMlymIGXyqr8spGobwUpikn43JMI6msrMTOnTtRU1ODI0eOwO12o6ioCMOHD8eAAQPSPT1CiJXwxdEuJsYc06J8CYiIrpXcyethWuDQirpMr8qrqqrux4cVQnnFirwUpoSQeJAkKSROI74uVdVSRXkNHNMkjtVJKK/VWvBkOhknTDds2ICnnnoKy5cvx44dOzo9rqSkBFOnTsVll12G73znOymcISHEiugc0wQKUzGUtyAXGmGKhApT7VhFYrRohofyimG8gPmr8qqqijqhh2lJKfNLCSFxIghTqzmmsiCzlaQ6poAiOqZAm9qnME0VGbPa79q1C1OmTMFJJ52E5557Dtu3bw/fOW+/ex65XV1djZdeegnnnXcexo8fj3Xr1qX5FRBCzExi+5iKwlTrmOZ5hF8P7ryox+oO0TEtcoruY4Y7porRLytz/yhoqG9CIKANT2ZFXkJI3Ii/4i0WetqTPqY9HkuW9TmmgOXe00wnI4Tpq6++inHjxmHZsmWdxo93tX/dunU47bTT8Nhjj3V6zHXXXZew+RJCLEir8B0TUx9TregQ+5iKVXnzXKIwTZ5jWuzUzi3Tc0z1FXltpg+jqhHyS90eFzyezP47EEJMgPjVaDHHNJV9TEM5pgZPsDJvSkl7KO+bb76JWbNmQVGU8I+P3NxcXHDBBZgwYQJGjx6N4uJi5OXlobGxEbW1tdi0aRM+/fRTLFq0CI2NjZAkCYFAALfeeisCgQB+9rOfha/v9/sxa9YsvP7663jqqafS9TIJIRmOzjF19jyU1yVUkRUd0xy79vjEClMhZNSl7Zkq2TJbEKmqVkibPYwXAOpqtX8TtokhhCQEWUwyTdtMkoLeMU1yH1M6pmknrcL0yy+/xKxZs8J3QPLy8nDvvffimmuuQW5u51UqJ0+ejBtvvBFNTU149tlncffdd6OpqQmqquJXv/oVxo8fj29961toamrChRdeiPfee8/0d9wJIclFX5U3ekGkaxcT4ZiqqqorfuS2CWIxkVV5G7SOqaaHKZD5OaaiY2qBirx6YcowXkJIArC4Y6rPMU3iWJ0KU4u9qRlOWlf82267DV6vFwAwfPhwbNy4EbfcckuXojSS3Nxc/PSnP8XGjRsxbNgwSJKEYDCIG2+8EZWVlZg8eTKWLVsGQH/XhRBCIhGFaaKq8jYd8cLv0z7vlASxmKA+pq2BAOpamjT7erl8mm1J9iRkrGShD+W1gDAVCh8VFdMxJYQkAH2sa1qmkSxS2se001Bea72nmU7aVvx169ZhyZIlkCQJvXv3xgcffIBBgwb16FqDBw/GihUr0Lt3b0iShM2bN2PkyJFYt24dVFWFw+HA/PnzE/wKCCGWQmgXk6g+pmJFXgBwqIIw9STGMa1tbtTtK/M0a3dkumMq3J2WhbBos+H1+tDSor05UFScn6bZEEKshBhQYjVzL5V9TNsNLJ0ra7U3NcNJmzBdvHhx+PEf//hH9OnTJ67r9e3bF7///e/DH9ra2loAofDg//znP7jsssviuj4hxNokMsdUK0y1YjG30A3JJ4jFBIXyHm7QOnMyHChwaMfK/Kq82hxTs4fy1tVqb0zYbDLyCxIXuk0IyWJS2egzDcjCy0umRJTbBtOF89IxTSlpW/Hfe+89AEBBQQEuueSShFxz5syZKCzsyN0pKyvD+++/jylTpiTk+oQQa6IGVUCoRxSPYxrZLqZWEKYlffIAnzbcNlGhvGJFXrctH06bV3tQBgvTyPZg7Zg9lFcM4y0syrdEQSdCSAagaxeTllkkjZQ6phSmGUHaVsd9+/ZBkiScfvrpcDgcCbmmw+HA6aefDlVVIUkSPv74Y5x44okJuTYhxMKI+aVATDmmunYxXYTylvTJB7yiY5ooYaoVQW45DzZJcCAzOJRXDOMFzF+VVyx8VMj8UkJIotAVP7KWiEppVV4p9D86HcpQ3pSSthX/0KFDAIB+/fol9Lrl5eXhx0cddVRCr00IsSZiGC8ASK7ovx69AW2V3a5CeYvL8nTCVPLkRT1WV4iOqcdmUOgokx1TxegHgLkL1+kq8jK/lBCSKMRlymIaKpW1nSRJMq7MS8c0paRNmDqdTgCAz+fr5sjYaG0NFRXJz+fiTwiJDl1FXgBSHFV5XV05pmW5gDdZobxaEZRr1wvTTM4x1VfktZm6orqiKDhSp70xwYq8hJCEoVNuaZlF0pANHNNkh/OqqihMLab2M5y0CdP2YkfffPNNQq/bfr2ysrKEXpcQYl1Un8HCE0OOqS6UN6KPqdjDtFeZGxAK/CSq+JHomObZnfqDMjqUV/u+yCYvfNRwpEkntilMCSEJQ6wOZDFhKuaYAsl9iSHHVMBi4dGZTtpW/aOPPhqqquKTTz4JV9CNl5qaGnz88ceQJAnDhg1LyDUJIVlAgh1Tt62jxYkYytur1A4dScox1QlTyQ5JTkxOfzIQQ3nNXvioVgjj9eS44XIb3CwghJAeoCvKazFzzyhgJumOqS6U12JvaoaTtlX/vPPOAwAEAgH86U9/Ssg1//SnPyEQCP1A/O53v5uQaxJCrI8ux9QGSPbohKmiqmhVOi9+VHtQCOUtNujLmQBhGlQU1DZpRXC+Qxgrg91SwCiU19zCVJ9fSreUEJJAdFV5reXuGTmmShI9U1k2Kn5krfc000nbqn/BBRfA3hbu9oc//AErV66M63offvgh/vCHPwAA7HY7fvCDH8Q9R0JIdiDmmMbSKsYnuKVAhzBVFAW1h7X5pMX5BtdOQChvTVMjFGEBLRB6sWZyfimgr8orywYi3kToK/Ky9gEhJIHoqvKmZRZJQ4xUBpJfAEmhY5pW0iZMBw0ahGuvvRaqqqK1tRXnnXceFi1a1KNrLVq0CFOnToXf74ckSbj22msxcODABM+YEGJZxFDeOMJ4gY7iR/XVzVCCQo6hWIDX4YJkMwjvjRExjNcm2ZBvExbUTBemgvMsmTzHVOxhWlxCx5QQkkCyMsc02Y4pq/Kmk7Su+vfeey8GDBgASZLQ1NSE6dOn46KLLsKqVauiOn/lypWYPn06pk+fjqamJkiShAEDBuCee+5J7sQJIZZC55jG0iqmC8dUzC+VJAn5HmGRS1h+qVD4yJkPp01b9TyTHVNV1VdbNHMor8/bipYW7fvPwkeEkIRiccdUkiSdOE1+jqkAHdOUEv9t+jgoLS3FkiVLcOaZZ6Kurg6qquKNN97AG2+8gYEDB2LChAkYPXo0iouLkZubi6amJtTU1GDTpk349NNPsXfvXgAdH9Li4mIsWbIEpaWl6XxZhBCTIeaYxlT4KNC5Yyq2iinslQM54NX+dkhQRd5qQZjmOPJhl4V2XBmcYyqG8QKAbGJhKobxyrKM/ILE/K0JIQRAaht9pglJ0r6saGRiVVUVVq1ahdWrV2Pjxo3YsWMH9u/fj8bGRjgcDhQXF2P06NGYPHkyrrzySvTv3z80Vjd9THft2oU1a9Zg7dq1WLNmDdatW4eGhoaIQ633/qeatApTABg1ahQ+/PBDXHLJJdi8eTOA0B+2oqICe/bswcKFCw3Pa//jt/e4Gz16NP75z39i5MiRqZk4IcQ6tIouZgw5pkL4qV2SYW8TVKJjWlyWB/iEHqYJaxWjFUIuOR8O2avZl9GOqWL0c8O8PUzFiryFRfmmFtqEkAxE/EqxoLkXckw71uhoxN+cOXPw1ltvGT4XCATQ0tKC/fv345133sG9996L22+/HXfddVenobwHDhzAmDFjUF1dHc9LIVGQdmEKhMTp2rVr8dvf/hZPPvkkampqAIQ+fEbN1SM/lMXFxbjxxhtx++23w+XKXDeAEJK5qF6hGqwzFsfUr9mO7GFaI1bk7ZMPeJu1F0hSqxi7mg+7fEh7UAYLU31FXpvh979ZqKvV/u2LWPiIEJJgdO1iLGjYSZKkyZ2N9SX26tULI0eOxODBg5GXl4fm5mZs374dq1evRiAQgM/nwz333IOdO3fi9795zDCU1+fzUZSmiIwQpgDgcrlw33334fbbb8drr72G5cuXY+XKlfjmm2/CLWCAUMXdwYMH44wzzsC3v/1tXHzxxfB4PGmcOSHE7MRTlVffwzSiVUyl4Jj2yQNahL7NCXNMtULIpubDIVdo9kkZHcqrdZ5lixU+KmLhI0JIorF48SPAKFq5+xc5efJkTJs2DWeffTaGDRtmeMyhQ4fw05/+FK+88goAYMGCBZh0+tk4f+IE7YFKx3h5eXk48cQTccopp2D8+PHwer2YPXt2TK+HdE3GCNN2PB4PrrzySlx55ZXhfQ0NDWhoaEB+fj7y83nXmRCSWHR9TGPIMfUFu+hhKoTyhhzTvZp9kis5jqlRKG8mO6ZiKK+ZCx8pioIjdaJjSmFKCEkwFi9+BACy8CKj6WN62223dXtMnz598PLLL+PQoUNYtmwZAGDByy9g2sRTtQeqCvr0KcemTZswcuRITUrG+++/3/0LIDFhipU/Pz8f/fr1oyglhCSH1jiKH3XhmIrFj4rL8qD6Eh/Kq6iqrviR26YvfpTJOab6UF5TLE+GNNQ36V5PMYUpISTRiF+TFozlTWa4siRJ+OEPfxje3rjpC4NQXhUejwfHHXcc6wSkAL7DhJCsR1+Vt+ftYlw2W/ixKExL+ubpc0w9YmPT2DnS3ISAIIQMHVNb5gpTsSqvmUN5xYq8Ho8LLrczTbMhhFiWLHBMxVoDie5j2rt37/DjxqZGg+JHFnxTMxjzrvyEEJIgUpVjWtInH2jR7kMCQnnF/FJZkuCSc2GXzOOYqkJ1Y0m2dXJk5qMrfMT8UkJIMsiKHNPk9jH98ssvw48HDRxs6JiS1EFhSgghPuGOaBx9TNt7mAb8QRyp0rqjJX3ygCSE8or5pbmOfEiSbJocU1VVdT82zBzKqyt8xDBeQkgyyALHNJkdcfbv348//vGP4e0Lzr+QjmmaybjiR4QQkmp0jmksxY8UY8dUdEsB43YxUgKq8oqOaY4jlI9v1/UxzcyqvGIYLwBT5/KIobwUpoRYG0VVUd/S3P2BicanINCqbVlmbwroEzPTTIEnB3IP56QL5Y3TwWxubsbu3bvx3//+F7///e9RWVkJABg5ciR+9tPboAoRL3RMUwuFKSEk69HnmPbcMW3vYypW5JVtMvJLPFC9TdoLJESYihV5Q3mrpnFMFaM70pn1wypafL5WNDdr33cWPiLE2tS3NGPmXx9J9zRCfJruCeh55ZqfoiinZ2udLpQ3xvNXrlyJM888s8tjpk6dipdffhkO2a1LxaBjmlrMe0uaEEIShCpU5UUcOaYuOSRMa8QepmV5kGUZqlj8KAGhvGJFXrsackwdJqnKq6/Ia9PdJTcLolsqyzLyCxPTq5YQQrINfVXexDmYxcXFeOWVV/DWW2+hqKgIsiwZhPLSMU0ldEwJIUR0TJ2x9DHtzDE1qMgLAClwTG1oD+XVClNkbCivtvCRqSvyCvmlhUV5pg5LJoSQdNKTPqaR9OvXDzfccAOAkKhtaGjAli1bsH79etTW1mLmzJl49tln8fTTT2PQgCFQxGgdOqYphcKUEJL16EJ53T1vF9OeY1pzyKAiL2AgTBNfldctFwBQTOOYiqG8pi58JFbkZRgvIYT0GH2OaWznDx06FH/5y190+/fv34877rgD8+bNw/Lly3Hqqafinf97F70dpdoDFTqmqYTClBCS9cRT/Mgb1Lp9YWF6UCtQisvaHdPEhvKqqqpzTN1yPuxSq/7gDBWm+lBeMwtTFj4iJNso8OTglWt+mvqBVRWBjdrvevsIBxDDzdVUUODp+TonrsaJ6mPar18/vPDCCygoKMDjjz+O2tpaXHHlFfjPS//WjqeqJq14YE4oTAkhRGwXk4A+pjViKG+fNmHqE6vy5kU9lhGNPi98upY1+frCRwAkW2YKU7Eqr1lDeRVFwZE69jAlJNuQJanHxX3ixe/yaioC2dxOyDnm/A41ItFVeUUefPBBzJs3D/X19fj666+wfNUKDD1vXMf4CLUzM2vdA7NhnU8uIYT0kPgcU1EU2gDo28WU9MkPLagJDuWtatA6dBJCVXmNhGmmOqaqonWdJdmWppnER2NDM4JBrcguKs5P02wIIVmBxXuZim1mEv3ycnJycPrpp4e3121Yqz+IeaYpg8KUEJL1xNMuRlf8qNMc0zzA16JPkIlTmB7W9TDNhSzZdD1MAQmQnHGNlQxUVdHdATdrKG+tUPjI43HB7c7MglOEEIsgfl1arIqsLpQ3Ca+vuLg4/Li2rk5/gMXe00zGnKs/IYQkknjaxejCaI2r8hb3ydOF8YZOiC/8S8wvzXEYt4qB7MrIUKSg8P4BgGxSx1SXX8owXkJIsrG4YxpvH9NoOHDgQPhxYWGx/gA6pimDwpQQkvXoHNN42sXY7PC1+NFUrxWGxX3y9WG8AOBJrDB1ycatYjK1Im8w6NdsyzZ7RgroaGDhI0JIypHF9ibpmUayEF+ekmD3srq6Gh9//HF4e9jQ4fqD6JimDArTDGTHjh144okncMkll2DkyJHIz8+H0+lEWVkZJk+ejAceeACHDh1K9zQJsQy6HNN42sXY7br8UqCtXYxYkRcAXHHmmAqhvA60O6ZCKG+GClNFcExtdkeaZhI/emHK/FJCSJLJOse0a5FYU1MT9bUVRcGNN94Iny90I9flcuHbk6cYHEhhmiooTDOMOXPmYNiwYbjxxhvx6quv4uuvv0ZjYyP8fj8OHz6MFStW4I477sCIESPw0ksvpXu6hFgCUZgijuJHbptd1yrG6bYjt8AFtAiOqcsTdz6l6Jja1JBLJwpTSc68XEdVVXWOqc1mTmHa6mtFc5P2PadjSghJOvokzLRMI1nEWpV3wYIFGD9+PBYsWID6+vpOj/viiy8wdepU/OMf/wjv+/nPf46SklL9W8hQ3pTBdjEZxt69ewEAubm5mDZtGs466ywcc8wxyM/Px549e/Daa6/h5ZdfRn19Pa688ko4HA5ccsklaZ41ISZHaBcjxZBj6jPoY3r4kPaObUmffEiSBMUnCtP43FJA75i6beZxTJWgPr/UZjPnslRXq/07yLKMgsL4WgERQkh3SLI2etdqGkrfx7R71q5di9mzZ8Nut+PYY4/FMcccg+LiYkiShOrqanzxxRfYvn275pwZM2bg7rvvxt5t1VAhQYocSVXx61//GosXL9ac09iojY464YQTdHO57777cP7550cxawJQmGYc/fr1w6OPPoqrrroKeXnaHzXjxo3D+eefj+9973uYOXMmVFXFjTfeiGnTpiEnJ/4fuIRkKz3NMfUrQQSEXwEum13Xw7S4rO3/y2Iorzv+vnfVgjB1yaGx8h2Vmv2SvTDusRKNLr9Utpm2Iq8YxltQlAfZpK+FEGIiJAkauWYtwzRmx9Tl6ogOCgQC2LRpEzZt2tTp8fn5+bjnnntw8803w2azQZYk/VuoKqioqMDnn3/e5dhGz8cSWkwoTDOOBQsWdHvMpZdein/+85948803UVVVhaVLl/JuDCE9RA2qgGDcReuYim4pEHJM9T1M24Wp4JjGWfioyedDc6u2yJFbDoWPFrn2afbL7gFxjZUMxIq8sonzS2tZ+IgQkg507WLSMoukIb687gzh6667DmeffTaWLl2KTz/9FJs3b0ZFRQXq2trAFBQUoLy8HCeccALOOecczJgxQ2MESbIERZVgk7SOKUkNFKYm5eyzz8abb74JANi6dWt6J0OImRHzS4Goc0zF/FKgLcdUcExL+rYVwRGFaZyhvNVNDbp9LltogS12aoWp5Oof11iJxji/1LxLUp3Qw7SYwpQQkgp0xY+sJaJidUwBYMSIERgxYgSuv/762MeTJahBsdKxgnnz5mHevHkxX4/EBuOMTEpra2v4sc1mzp5/hGQCusJHACRXdF+NYg9TAHDZbKg5qHVMi/sYh/JK7jgr8jZoxZDH7oFNckCW/Mh3ait3Z5pjqipB3V1os1bkVRQVR+q0NwlYkZcQkhIs7pgaVeWNRpz2FFmWDIofWexNzWDMe3s6y1m+fHn48XHHHZeQa1ZWVuLw4cMxnSMmjxNiNsT8UgCQonRMfYqRMLWjttMcU8ExjTPHVKzIm+MIiaFC5wHIkvZ1yRnmmAYFt1mSZMiyOW+yNTY0IRjUBpgVldAxJYSkAKu3izFYjlXoX3bCxpMlqOLVrVZRKoOhMDUha9euxX//+18AQP/+/fHtb387Idd98sknce+99ybkWoSYBbXV4E5olDmmomPqkkOFE2oOiTmmIcGoJrj4kViR1yWHxtGF8TpKINkyq0BaMCCE8ZrULQX0hY/cHhfc7sxrz0MIsSCyKKLSM41kIRtIUFVVjRVrIsYzFKYWe1MzGIbymozGxkbMmTMHwbaiKw8++CAcDvP+oCMk7Xj1d0KjdUx1PUztdqiqalD8qC2s0ycK0zhDeQXH1IHQOGLhI8mVWWG8gIEwtVB+KQsfEUJShajPrGbuiTmmQHK1tyTL7GOaRihMTYSiKLjsssuwefNmAKHqvFdccUWaZ0WIudHlmNoAyd5DYWqzo7nBB1+LVnSV9G0L5W3RCtZEO6b2NmFa7Nqr2Z9p+aWKEoQqLPRmrsgr9jBlfikhJGXockyt5e4ZrcZKEl9jqC+sMKrFCkplMua9RZ1lqKqKa665Jtzcd8KECXjuuecSOsb111+Piy++OKZztm/fjgsvvDCh8yAkleh6mEbplgJ6YRrqYdqoO67zPqaJdUzdbaG8Rc79mv1yhjmmYpsYSJJp80sBtoohhKQRy+eYGjmmySx+JBv0MaUwTRUUpiZAVVVcf/31+Nvf/gYAGDduHJYsWYLc3PjcFpGysjKUlZUl9JqEZDyiYxplfikA+AwcU7FVTE6+C+4cZ2hDrMobZ7sYXY6prQCAgkKXIEzdmVX4SDFoE2P048MMtLb60dzUotlXzMJHhJBUYfEcUyn8vx0vLJk6UZIkqKrF46MzGIbymoCbbroJTz/9NABg7NixePfdd1FUVJTeSRFiEcRQXskZn2Naqyt81NG4Gz6hKq8nDz3F6/ejwasVRG45H/mOKjjkVs3+TMsxtVThIyG/VJYl5Bf0/O9KCCExkQWOqfgSk+uYAgqLH6UNCtMM56abbsITTzwBABgzZgzee+89lJaWpnlWhFgHXSivO/qvRV9bEbJ2jBzT4j4d+YZqi9gupueOabXglgKAS85DkZBfClsuJHtRj8dJNKqqQFG075vNZmJhKoTxFhTmw2bj0koISRE61WY9ESULETXJzTFl8aN0wtUzg/nJT36Cv/zlLwBCvUrfe+899OrVK82zIsRiiO1i4sgxdXfrmAo5pq6eh+NXN2kFkdPmgl126VrFyK4BGRUmq8svBSCbuSIvCx8RQtKJ+EveghpK75gmD7aLSS8UphnKzTffjD//+c8AQqJ02bJl6N27d5pnRYj1UIV2MTEVPwqIwtSmd0zLIoSpN3GOqZhfmuswbhWTaRV5g0J+qWzi/FJA75gWMb+UEJJCdO1iLKihxDVCTapjaiRMLaj2MxQK0wzkpz/9KR5//HEAwKhRo7Bs2TIWJSIkSehyTGMofmTUx1TXw7RvhIMmVuX19NwxrWrQCiKX3FkP08wqfGSl/FJFUVFXJzqmFKaEkBRi8eJHACBmmSY3x1QyCOW14JuaoZg3fsqi/PKXv8Sjjz4KAOjduzf+/Oc/o7KyEpWVlZ2eU1xcjP79M+vHJyFmQcwxjTeU95AulLdzYSrFEcorOqZOKR+Aqg/lzSDHVFVVKMJ7Zub80saGJgQD2nzZYgpTQkgqsXjxI0CvvZPZVpSOaXqhMM0w/vnPf4YfHz58GGeffXa358yePRvz5s1L4qwIsTCtPe9jKraLcdnsqDmoFYztOaaqouhzTOMK5dU6pnY1H25bPdx2rTDOpB6moigFAJvdvMuQGMbrdrvg9rjSNBtCSFYixj5a0N1LvWOaBfHRGQpDeQkhWY2uKq8r+q9FXbsYyaYL5Q3nmIqiFEhojqnLlo9iIYwXkgOSM3Ny08UwXlm2QZLMuwyx8BEhJO1kgWOqzzFN4liypJO9T3aUHQAAWfRJREFUqmLBNzVDMe+taouye/fudE+BkKwikTmmaFQQDGgXsHAor5hfCgDueEJ5BbdOzkeRc6dmn+zqB0my9XiMRCMWPjJzfinAwkeEkAwgK3JMtSTVMZUkgz6mFKapwry3qgkhJBH4hAUnjlBetU4fqlpU1iY+xYq8QI+FqT8YRG2z9npGjmkmFT5SVVXXKkY2cX4pYCBMmV9KCEk1WeCYpraPqUEobzKTWokGClNCSFajc0zjKH4UqG3VbBeU5sDhbAtMEYWpJAEuT/QTjaCmqUG3zy0XZHSrGEUJQryVb+b80tZWP5oaWzT7KEwJIanGKBsime1U0oE+xzSJYxmE8tIxTR0UpoSQrEafYxqLY6qtyOqv0QpTbQ9TIZTXldPj/p2HhVYxdtkBu+RCkWuvZn9GFT4S8kslSYYsZ06YcawcEfJLZVlCQWFeJ0cTQkiSMFpGLKaj9L1ak+iYSjCoymstoZ/JUJgSQrIaVajKi1hyTIXQ1NZqn2a7vSIvAKiiY5rAwke5jnw4ZB/yHdWa/ZnkmAbFNjEmzy+tFcJ4CwrzYLNxSSWEpBgxxxSwXJ5pKqvySpKkt6EpTFMGV1FCSHYjOqbOnofyemtEYdp5D9N4Ch9VC6G8bjkfRa79wlESJFe/Ho+RSEL5pRYvfMQwXkJIOjB0TK0lpFLZxxSAgUVrMQs6g6EwJYRkNfqqvD1vF9NS5dVsa4SprodpHBV5hVBeh5SHYiGMV3KWQZKdPR4jkaiqAlVY2G028+aXAkBdDYUpISQDMFqyrKVLU+qYAtC3MaNjmjIoTAkhWU08OaaiMG2q0hbDKY4I5UWLtr9pIkN57ShAkVMofJRB+aWiWwpJgmTi/FJVVVFXJ/YwpTAlhKSBrMgxTV0fUwA6i1aCarmCUpkKhSkhJLvpYY6pqqq6djGNh7WuaGSOqRjKK7niEab6HqZiq5iMzi+1OXpc+CkTaGxoQjCgLXxVVJLfydGEEJI8QjmR2n1W01Cp7GMaGtCw1HFyxyQAAHPHUhFCSJyoXu2t5WhzTFuVoG5pbKjSis/iZIXyCsLUZcvXtYqRMsgxFSvymrlNDADUCRV5XW4nPB53mmZDCMl6JGjDdy3mmMbax7SqqgqrVq3C6tWrsXHjRuzYsQP79+9HY2MjHA4HiouLMXr0aEyePBlXXnkl+vcXen4bCNPammq8t/x9LF++HBs2bMD27dtRV1cHt9uN3r17Y/z48Zg2bRr+53/+Bw6HuWsopBNz/zoghJA40eeYRidMxTBeBFWdMO2yKq+nZ8I0qCioadKGBefIOShwHtTsk93CQpsmVEVp62Hagc1m7kWbhY8IIRmFDK0YtZi7F2sf0zlz5uCtt94yfC4QCKClpQX79+/HO++8g3vvvRe333477rrrLshySJBKEaG8jU3NmHXr7Xhn1adobW3VXc/v96OhoQE7d+7EP//5T9x5552YP38+vvWtb8X2IgkAClNCSLYjCFNEmWMqhvFK9Yrut4Cm+FGLIEx7GMpb29you1vcy90Cm6QVf5mSYxoM+nX7ZJMXPqoVCh8VU5gSQtKJuGxZzDGNp49pr169MHLkSAwePBh5eXlobm7G9u3bsXr1agQCAfh8Ptxzzz3YuXMn5s+fHzpJlsPvYWNzM/6z/EPNNfv06YOTTz4Zffv2hd/vx4YNG/DFF18AAHbv3o2zzz4bb7zxBr7//e/3+DVnK+b+dUAIIXHS0+JHYg9T+YggDGUJBaUR4jNBobxi4SObZEMfj7Z/qWQvgmTPQyYQDFgrvxTQh/IWlVCYEkLSiCzE8lrLMI25Ku/kyZMxbdo0nH322Rg2bJjhMYcOHcJPf/pTvPLKKwCABQsWYNq0abjooosgRQjTdoqLi3HllVfihz/8IY4//njd9VauXIkrr7wSu3btQiAQwGWXXYatW7eiT58+MbxSwuJHhJCsRhfK64rua9Erhqce0a5iRWV5sNkiriWG8vawKq/YKibHkY8Sd+bml4qOqWzy/FJ/qx9NjdqbDAzlJYSkFYs7prH2Mb3tttvw4x//uFNRCoRcz5dffhlnnXVWeN8zzzwDAJBkOSx9nQ4H7rrhGuza8hUeffRRQ1EKAGeccQaWLVuGgoLQelBfX49HH32064kSHRSmhJCsRhSm0VblFR1TZ4P2OpqKvADU6gOabSmnZ1VcRcfUbcvTt4rJlPxSVYViUJHXzIhtYiRJQkFhzwtZEUJI3OjK1lrLMk1WH1NJkvDDH/4wvP3ZZ5+F9stS+C0sKSrEvTdfh4L87qOQhgwZgrlz54a3O8tzJZ1DYUoIyW58QlXeaEN5BcFlrxeFaYfwVINBYMcX2gsMOS6GSXYgVuR1ogBFrv2afZmSXyqKUsACFXmF/NKCojzYbObtyUoIMT9iEVnVYo6pvo9p4oR37969w48bGkI3HmVZgtrDHjwTJ04MP969e3fc88s2KEwJIVlNT3NMxeJHYihvcVnE3dW9W3U5ptKwE6KfZASiMLVLmeuYBoU2MbLNDsmoP5yJYEVeQkjGoasOlJ5pJAt9H9PE8eWXX4YfDxkyJDSeLEFVxfc0OrUfKaKDwWAXRxIjzP0LgRBC4kANqoBg6vW0XYwsCtPIVjHbPtOe3HsApKLe6AnVQihvgV2G0+bV7MuUHFMxv9Rm8mq8gL7wESvyEkLSjvhr3mLCNNY+ptGyf/9+/PGPfwxvX3TRReHxdCNEOebGjRvDjwcOHBjvFLMO8/9KIISQniLmlwI9bxdzRLutCeUVhGlP3VJAn2Pay+3THiB7IDlKe3z9RKGqqr4ir93c+aWqqho4pj3LFSaEWAdVVdOa16nKClS5Y3xVCUJVMsh7kqS4qrEb9TFVVbVH12xubsbu3bvx3//+F7///e9RWVkJABg5ciR+9atfhcYzCuVVundMFUXBiy++GN4+55xzYp5ftkNhSgjJWnSFjxBDVV5BmKp1ojCNcEy3C8J0+Lhop6hBUVVUNWmFaR+Pdlt29c+IdiyKEoR42142eeGjxoZmBALa0CyG8hJCoKpoaqhJ3/ilbf8iaTA6MD3k5pfow41jQH9qqPxRNFdcuXIlzjzzzC6PmTp1Kl5++WXk54duNMqGobzd33h48skn8fXXX7ddQ8Z1110XxQxJJBl0O4UQQlKLmF8K9LyPabBWG7Za0je0wKkBP7Bzo+Y59FCY1rc0IyDkrPTPqdJsZ2p+qSTLkGVzLzmiW+pyO+H2uNI0G0IIyQ5ExxRITGXe4uJivPLKK3jrrbdQVFTUMZ5sFMrbtWO6efNm3H777eHtq666Cscd17Mih9kMHVNCSNaithosbNHmmCoRwrRVhdKoFYzh4kcVXwOtQg7osJ4JU7HwkQQJA3MPavdlSH6possvNbdbChgXPsoEd5oQQqyM2McUaDMwo/j67devH2644Ya2c1Q0NDRgy5YtWL9+PWprazFz5kw8++yzePrppzFixIjQeLIEJQbHtK6uDhdeeCEaGxsBAMOHD8ef/vSnqF4b0UJhSgjJXrz6O6A9cUylen3lvfYcU3X7Bu0TfQZDKiiJfo4RiPmlOY48lLi3a/bJ7vQLUyvmlwLAoQPVmm2G8RJCSPIxdEyjzOkdOnQo/vKXv+j279+/H3fccQfmzZuH5cuX49RTT8X777+PsWPHGueYdjKe1+vFBRdcgO3bQ2txQUEBFi5ciLy87vueEj0UpoSQrEWXY2oDJHvsVXnlI1ph6nDakFfkDo0hFj7qYRgvAFQ1aB07jy0HOfYjmn2Z0MNUVRSoQtiT2R3T1lY/qg7Xavb1LU9/kSlCSAYgSaE8yjQRPOCHcrjjO1cqlmAf6EzbfHTEGVliFJmixBnK269fP7zwwgsoKCjA448/jtraWlx66aXYuHEjZFkSC/YbhvIGAgFccskl+OCDDwAAbrcbixcvxtixY+OaWzZj7oQfQgiJg572MAUAX0Sup1QnhPH2yQ8vpIkqfAToQ3nzbDbNtgo7JFefHl8/UYhtYiRJgmTy/NKD+w9r7tDLsoyyvr3SOCNCSKbQ/h2Xtn+SDEmROv4F0zgXw/nFKUwN9iWqBvKDDz6IgoJQ9MtXX32F//73v530MdWOqCgK5syZg8WLFwMA7HY7XnvtNUyaNClBM8tOzP1LgRBC4kHMMY0yvxQQHVOhh2lbfqnqbwV2btKemMBWMYUOrSBWHX0hSekPhBELH8k2h+lzMffvrdRs9ykvhd1u6+RoQghJIWISpsX6mEqSpG8Zk6D2PDk5OTj99NPD26tWrYqqXczcuXPx8ssvAwjdqFywYAG+//3vJ2RO2QyFKSEka9E5ps5YHNOIHFMhlLekb1tuyTdfAoFW7RhHHx/jLDsQHdPe7hbNti1TKvIGrZVfqqoqDuw7rNnXr39ZmmZDCCEC4tLVfctN0yHe3EyUMAVC1Xnbqa6uhizpq/KqEcL0pz/9Kf7617+Gt5955hnMnDkzYfPJZihMCSFZi5hjKrmj/0rsKsc0XPhIyC9Fv6GQ8ovRU0THtK9Hm19q9wzs8bUThaooUBXt+2F2YVpbcwRer0+zr5zClBCSKYjCNIGiLVPQvcQEXvvAgQPhxyUlJZAMqvK2102444478Oijj4b3P/LII7j66qsTOJvshsKUEJK9iMWPYsgx9XblmPZpC+UVCx/1sE0MELo7LDqmA3O1Ll4m9DAV80sBQJbNHfK6f6/2fc4vyEV+QW6aZkMIIQLir3kLOqay4JgqCRLf1dXV+Pjjj8PbI0eOhGzUx1RR8dvf/hYPPPBAeNd9992HW265JSHzICEoTAkhWYvq067esRQ/0jimYvGj9hzTBBY+avR54RNasAzM1eY9ZkIPUzG/1GY3f37pgX3a95luKSEkkxC/Yi1omEbtmNbU1ER9TUVRcOONN8LnC0XEuFwufP/73zcsfvT4X5/HnXfeGd7+xS9+gbvuuivqsUh0UJgSQrKWeKryavqYCsWPSvrkQ231Aru/1F4/roq8Dbp9xS6hyJArExxTIb/U5G1ifN5WXZsY5pcSQjIKixc/AgxyTDt5kQsWLMD48eOxYMEC1NfXGx4DAF988QWmTp2Kf/zjH+F9P//5z1FaWhoaK2K8vy18Ez+797fh7RtuuAG/+93vevpSSBekv3wjIYSkCV0f0xiq8vq6yzHdvRmIFGmSBBzd895mYhhvrt0Bh9wx/1b0Qq7N3ePrJwJVVaEIwlS2m3uZObBfG8Zrs9tQ1jd9/QoJIURHNhQ/iqEq79q1azF79mzY7XYce+yxOOaYY1BcXAxJklBdXY0vvvgC27dv15wzY8YM3H333ZoRAWDjlm249s7fhMfLzc2Fqqq48cYbo5r3zTffjOHDh0d1LKEwJYRkM2Lxo56E8noVSMJ1ivvmQf3qXe0J/YdDyino0TQBvTAtFCoIB20ZEMZrkF9qdsd0vxDG26dvKWw2c+fMEkIshhj/aMFYXn2OqfFxLpcr/DgQCGDTpk3YtGmT8cEA8vPzcc899+Dmm2/WfLerUuhNra47AiWiIm9TUxOefPLJqOd90UUXUZjGAIUpISRr0Yfyxl6VV8wvBYCSsjyoi8XCRyfEPsEIqhq0obzFDkEEZkAYryLkwMo2u6nzSxVFxUG2iSGEZDpZ4Zhq6SyU97rrrsPZZ5+NpUuX4tNPP8XmzZtRUVGBuro6AEBBQQHKy8txwgkn4JxzzsGMGTOQl5dnMKB51y4zQ2FKCMladO1iYnBMfcGQIBUr8rpznfDkuRDYvkF77TjySwGjHqbNmm27J/McU7O7pTXVdfD5tH1oywdQmBJCMoyszDHtnBEjRmDEiBG4/vrr4xgwdKN68oSToWxdj6DNBfvQUT2/HokKFj8ihGQvQlXeaHNMg6qC1rZenbKu8FEeVG8z8M1Xmv3xC1OtY1ou9DD15KfXMVVV1aAir7nvfYrVeAsK85CXl5Om2RBCSCdkgWOq64iT7HDlbCh1nIFQmBJCshadY+qMTpi2BjtcUn0P03xg1yZAidgvy8DQMT2fKIwcU69m25k7MK7rx4soSgHzO6b792qFaT+6pYSQDEQy+DXfVXEgMxJtVd4EDijssNb7malQmBJCshZdjmmUjmlXPUxL+uRB3abNL8XAYyB5DHJYYkB0TEtcHSGmvmA+JHthXNePl4BfK5Rlmx2SbN4lpqXFh5pqrSvN/qWEkIzEaOmymGuqr8qb5PGE9UtSLfaGZijm/dVACCFxorb2rF1Mi6aHqVaYFvfJg7pdLHwUXxhvk8+H5lafZl9pRA/TZjXdYbwKAn5tLqbd4erkaHNwUGgTY7fb0LuMbWIIIRmImGMKWM7g00fWJl2ZigMmdzwCgMKUEJLNiI5plKG83fUwVRNc+Ki6qUG3T+OYSukVpqIoBQCHyYWpGMbbt19v2GxcMgkhGYihY2otISULL1JJtvIWHVOrKf0MhassISRr0eWYuqP7SowM5ZWE4ke9Su3Ani3a68YrTIX80jy7ApetY+6qPb0Vef2t2jBem91p6jBeRVFwYD/bxBBCTILR163FdJTOMU32eDoX2mJvaIZi3l8OhBASJ/o+pvE7pv3lfUBEM27INuCo0T2fJPT5paUurUMpu9PnmCrBIJSgtn+pw2lut7S6qg7+Vm0xp/L+vdM0G0II6YaszDFNbSivlIoxCYUpISSL6WGOadgxVVVIQvGj3s27tAcPHgnJ5enpDAHoK/KWurT5ps7c9DmmfqHoESQJNrszPZNJEGIYb1FxPnJy4/sbEkJIspAkSSdOraahdFV5k/wCDaN+WAAp6VCYEkKyFtWrXWSizTFtF6ZSkwJJq0tRUCuE8Q47ocfza6eqoXPH1K+4kJuXHjdPVVUEhKJMDodL9wPCbOwX+peyGi8hJOOxeC/TVAfWGgtTi6n9DITClBCStehzTKMN5Q2pUTG/FACc+zZprxlnfimgd0xLIiry1vn6IS83PV/lSjAAVbiDbPZqvM1NLair0b7f7F9KCMl4xGXAYiJKllJb/MhQmCoWU/sZCIUpISR7EYQposwxbWlzTMX80rJSGdK+7Zp9iRGmnTumDYF+cNjT41CKRY8k2QbZZk/LXBKFWPTI4bCjV+/iNM2GEEKixPKOaYpDeY2qsFtM7GciFKaEkKxF55jGWPxIzC89vr/WaYPdEXfhI8Aox7TDMW1JUw9TVVV1bWKsEMZ7YJ++TYxs4grDhJAsQawiazENlfqqvMwxTQdcbQkhWYu+Km+U7WICxo7pyOJq7YGDR0GKM7TVF/Cj3tui2RcpTAO29BQ+ColS7ftnN3k13lCbmCrNPobxEkJMgcUdU10f0xQUP9INQcc06VCYEkKyFjXOqrxijulQzyHNdiLCeKuFMF5AG8qrOtMlTMXepQ7Isi0tc0kUhytrEPBrW9+wTQwhxBToqgNZS0TpqvImezxZgqIrdWwxtZ+BUJgSQrIXsSpvjKG8uh6mqNBeLwmFj3JsQXjsoXkrqgSHuzzuMWJFURQEA9o+n2YvegTo28QUlxTC43GnaTaEEBI9QttNy2kove5OrjSVZUkvfi0m9jMRClNCSNbS0xxTr0GOaZ7di8LWxDumYuGjkgi3tL61L3JzHHGPESuiWwpIlhCmB/ZpCx8xjJcQYhpSnYSZYvSOabJDeSWoqsWbw2YgFKaEkKxEVVRAa/rF5ZgOy9eKGtidwKCRcc0RAKoaOi98VNfaH/k5cQ8RE0a9S+0Op+mLHjU1tuBInfYmQD/2LyWEmAVdu5i0zCJppLobTsgxZShvqqEwJYRkJ2KrGKAHOaYdwnSEKEyHjobkcPZ4ekBIBH60Y4tmX68Ix7TW1x/5OakVhIoShKJoQ5jNXvQI0FfjdbocKOlVlJ7JEEJIrFi8+JGRY5rMcN6QY6rdp7KPadKhMCWEZCViRV4AkJwxCFNFhVTfsUiNKNAKG2lY/GG8Xx3Yiy2H9mv2HV/S4aDW+fojL8WOaUDsXSrJsNlSH06caPYLwrS8X2/IYvsFQgjJVFJtKaYYsY8pkNxwXlnSO6ZqkMI02Zi7EzohhPQQQ2HqjrJdTDAIqUGBFHGJEfmCME1Afunrn32q2e7tasWEXnXh7WalPxz2xIsnr+8w9h18C17fYdjtObDbcmG35UC2eRD0BSHLHthtObDZPHB7ShAIOGCz50CWzFmVNxgM4tABbZuYcobxEkLMhOUdU/0+RdW3b03YeAahvHRMkw+FKSEkK9G1igGAGIofRRY+KnC0oK9Hm58YrzA9cKQWHwthvFMHVMIWoZ2D9v5xjSGiqiq2f/M81m+6DX7/kZjPl2UX7LacNtGaA7s9t+OxLQc2e472+bZjwo/D5+Xo97WdL0uOhOezHj5Ug0BAG57MNjGEEFMhKjRrGaa6PqZAkh1Tg1BeUJgmHQpTQkh24tUvMFKUOaa+YEBT+Gi4mF/qdAODjo1reos2rNY0EPc4bDi7vMPVa/IXw+3JjWuMSBoad+CTz67BoarlPb6GovjQqvjQ6q9N2LxEJMmmFattzq1dELTt+wy37TmwyZ7w8Tt37YMqVwOqE1BdKC0tg8sVX34wIYSkEknSalGr1ekxuh+ZzGhlOqbpgcKUEJKViK1iIANSlGGx3kBAU/houBDGi6FjIdl6/vXa6PPi/zZv0Oz7ztAC5Ng7FsVa34CEVORV1CC+3v4YPv/qTgSDLfFfMMmoahD+QAP8gYbuD46FvI6Hh/3Ay29KsNncOvEb+V/N47DQjXgse2C3eSLO97SdlxPxOPTPrGHQhJAMgTmmCYfCNPVQmBJCshIxxzRatxQIhfLKRyIKHwmOabxhvEs2fQavv6MtjCxJmDrYC3QU5A21iimKL6S1rn4TPl5/FaprVxs+37tkIiTJhkCwCYFAE/z+RgSVFgSDLQgqzXGNnfmoodcZbAFQnfTRZMmhF7vh7ZDY1WxH/pP1+8RzbDZ3aH/bPlk2f4sfQkgEls8xlSBB0ohRJQrxvWLFCrz00kv48MMPceDAAbS2tqK8vBxjx47FJZdcgosvvhh2eydySNcb1mJvagZCYUoIyU7EHNMYhKlPyDHVV+Q9ocfTCgSDWLRBKxTPGDYSvW2rNL8z6nz9MLCHjmlQacXmLQ9i05bfQlH9uudzPYMwYdwz6Nfnu+F9zY11UNra5ACAbLPD6XYiEGxGINiEYCD030CwCcFgCwKBZgSCzQgG2/c3tx0Tub/tv4GI84LNCAQ6nrdcolQnKKofSsAPf6C++4MTQsgR1opad1joarfdHcfIbt1z2v1tz0UcZ7d5ILddQ5LsFMSEJAOL55gCbeHKEa+rq5dYXV2NK664Av/97391z+3atQu7du3CokWL8PDDD+Oll17Cscfq0290fUwVC76pGQaFKSEkK9E5plG2igHaHdOQMC1yNKPM3ai9VhyO6YfbvkJVozZM9QfjToFy+FXNvlrfAIzsgTCtqlmNTz67CnX1mwyfHzH0Bowb9SAcjvzwPiUY1IhSAHC6cmC3O2G35wDoFftEokBVVShKq4GQ1YrbQKAJQaUlLGjDAjfYzXagCa2tTVBVHyBl253wDke4VX9vImlIkCG3idVI8SqHxW/EY9kN2eYOiVvZE3rc9pwcFr+Rwtit/2/b9Ww2d1IKZxGSMVjcMQXaw3k71u7O+pjW1tbi9NNPx9atW8P7hg4ditNOOw1utxs7duzAqlWr4Pf7sW7dOkyePBmffPIJhgwZIgwohPLSMU06FKaEkKxEzDGNtlUMAPiCQbjahOlwwS2FKwcYMKJnc1JVvP7ZJ5p9o8oHYESpEy2VrZr9da39kZ8T/Y/sQKAZn3/1a3y9/RGoBr9Y8vNG4LRxz6Gs15m65/x+sXepBJs9+b1LJUmCzeaCzeYCUJzw6wcCQbz+j/9DIBgEEADgw8mnjUB5v8I2EdsS/m+HMI7c18njdpGsaPe3/1dVg91NzbKoUNpuDqQjFFwyFK+yTtS6tMI3fJxLI3htcts+4VjZ5tKe23aMbHMzl5gkD3E5sFiOKRBaE6BxTI1f41VXXRUWpW63G88++yyuuOIKzTE7duzAzJkzsWbNGhw6dAgzZszA2rVrhZtXwu8CCtOkQ2FKCMlOxOJHUbaK8StBBFQFnrYcUzG/FMOOh2Tr2Y/PTfsrsL3yoGbf9BNPheLdq9nnC+agOVCEPE901z14eDk++exqNDbt1D0nSTaMGv4LjD3217DZ3LrnVVVFoNWn2Wd3uCzhPFUerEYwqLTdhXdAkhwYPHh00ivyKoofgTYxGxa1SguCbWJW91yb2NXta//XzTmK0tr9pLKCiLzhFLrEkUiSTSt024VwhIDViOCwSHZF7HcJQtkVIZI7rhUWyOHHrrBwpntsQcR7qxbUUNHUd1q3bh3eeOON8Pbf/vY3zJw5U3fc0UcfjXfeeQfHH388KioqsH79evz973/HZZdd1nF98f8jDOVNOhSmhJCsRPVpV20phh6mAMJVeUfki/mlPQ/jfX39p5rtvoVFOHXoCCjV/9Hsr/P1h9spwdFNFeFW/xGs3/QLbN/9rOHzxYUn4NQTn0dp0YmdXiMY9OvCl+xOvYA1I/v3af92pb2LU9ImRpYdcMoOwFGQ9LGAUOVlJejrEMBhAeuNcHXbtjUiuH3bGyF2vQbnezWCWFFCYxk589mOqgbDudjpRi9yXWFxqxW6Ec+Jx9u0zxmeY3AN/XksxhUvujo9FtRQ4mdEMXBMX3vttfDjsWPHGorSdoqKivC///u/mDt3LgDgscce0whTFj9KPRSmhJCsRJdjGqUw9QWDgF+F3NjmmIqFj3qYX7q3thqf7tyq2XfhCRNgk2UEvPs0+0NhvJ1fS1VV7N77D6zf9DO0eA/onpdlF8YeezdGDb8Nstx1SK7olsqyDbJs/nBEVVVxYK/2b9evf1maZpNcZMkG2R7q3+pK0ZiqqkJVAxrxGhKtXsPHwXZBGxa+XoPHkUI54vnwcx37LFn5JcEoig+K4kthwa2ukSWHRrDKstNA3Do1Ijd8jK1D4EaKXe35TkEgO4VxnJBtLkC1t4XbS5Ck6FM80k42FD8S27cYvMZPP+24wTt16tRur/m9730v/HjNmjWoqKjAoEGD2gaUheawFnxTMwwKU0JIVqLrYxplVV5vIACpPuSWljibUOrS5sr1VJgu2rBas/7lOl34zqjjAQCKTxvKW+vrPL+0rv5LrPn8RhyqWm74fO+SiTj1xOdQmK+vQCiiqioCfm0YqN1pjTDehvomNDZq/3b9BlhTmKYDSZIgSQ7IsgMO5Hd/QgLRimKv7r9KWBj7DERtxzFG5waD3jZHuO24iMeRzxlVuyZd016ZOoDG7g9OIrKUj0FlTwAACvNHAgBqjnwOu00GJLlNHElt34Ny239DrUzCz0sSJMia49DW7qRD8EoR50Y83/5c5HUMztXuk7Ki+JFee+uF4qFDh8KPBw8e3O01+/fvD5vNhmAwtK4vW7YMc+bMCT0p5LRSmCYfClNCSHYiFj+K1jFVOiryimG88OQD/Y6OeSoN3ha8++Xnmn3njTkRHmcorFTMMa3z9UeRUAvIH2jExq/vx1fb/wRV1VbQBQC7LRfjjnsII4ZeH7ULEPD7IN52tzusGcbr8bhQVJya0FqSXNIpittRVQXBSAEb9Ia3OwSxr/Pn2s+N2KcEfaH9GkEceZ6v41ptx1MgJwhVDbmoajAzjUhJgqRKwKCQUIUaEq1SvQy9eO4QzZFiWCu4jfd1JZy1+wQRHXmNOG5sio6pUR/Tzir1dnpNSTunzZs3RzypXSslK6r9DIPClBCSleiq8rqiE2veQABSW+EjsSKvNOwESHLsoV9vfbEOvkCHmLTJMs4/fnxonoEjQFDbPqbWNwAD2hxTVVVRsf9fWLfxp2hu0QrYdvr1OQ+nnPAU8nK6v3scSUiYdmCzOyD34PVlImIYb3n/Mks4wSQzkCQZdluoR2w6aRfI7aK2XcBqxGyEyA097uK4iGtFimXttTrfNrppRhKAqobcw4gsCxUAMrIAuIHb25mIbTu23VV2KwHYoACQoAJQ/Y1oUhwaB7q0tDA80s6dX8Pnq2q7hixcL/R4/74DCESsv19+uRmK4g/NRQbUoNo2a4mOaQqgMCWEZCU9zTH1BgOQ69odU31F3lhpDQSw+PO1mn3fGj4KvfND7p3olgYVOxr8ZcjPAeobtmLNFzfhQOU7htfO9QzCyWMfw4DyC2IWXYoSRDCgdVus4pYG/AFUHqrR7GMYL7Ei7QIZaRbI7YSFstKqF8GCgFaU1s7FbuT5amvEea0Rx7WGr6morcI1WiOu3xq3YFagoF7KjFzdTKRALYAcrqmrtgnptq0YtJ4dgnAJAF7hTzd6zFCsWhXKM13yf0vwy9sv7/Kar0dU8AWAw4f3ovZIWwRTIVAb+aTaAqluPfSh2UZCWvvY5SqDM0UF78wMhSkhJDtp7WGOaTDQVpFXTUjhow+2fYnaZm1O1Q/GTQg/DjZv0zxX11oOFV4crvodNnzxR8NWILLkwKjhP8foY/4XdntuzHMC9EWPAAl2R/Ir1qaCQweroSgdIVmSJKFPea80zoiQ7CDThHI7ihqEqvgRVHzw+73YvesgVKiQpVBxuPy8gbDbpLacRhVQldBjVYUKBbWowv84pqT3RWQwr9b/C0VqUUrGOm/qJDzz9CsAgI1fbMHiRe/h/AvONjy2oaEJjz82X7NPrD2gQUJblXol9DGIYV4OR2H3BxEKU0JIdqJ6hXYxzhgc0yNB9HY1otjZor1GjMJUVVW8IbSIGdN/EIb3KQcABGo/hP/AS5rjv2moQ6lrLPbs/cbwmn17n4Pxx/8FhfnHxDQXcV5+v9i71BrtHHzeVmz6XFv9uHefEjidXVcnJoRYF1myATZbqBWOlAtZ1kZUOOw5sNs7/8nsVqXYVApJGmeccRImTDgen34acj1vuvFeBAJBTJ/xHc1xFRX7Mffau7B7t7bqvdcr3pRNDJKuCysxgsKUEJKV6HJMo3RMfW2OqS6MN7cQKB8a0xw27NmNnVWHNPumn3gqAMBf/S5a9z6N9l87Tf4mfF79OQ41H4LNYKo57v44aewjGNTvorgFpBIMQFW0yUkOC/QubWpswftLP0X9Ea1DXd6/d5pmRAgh1qcwfySKUBrhMqttPUFV7b5INxpqWyGjjseNfm8oaqltn8tmQ47NHr5G6HoK/vrcw/j25ItRXV2LpqYWXHvNHXjowWdw8slj4XI7sWvXHnz6yWfw+wPIyXHj1FNPwLJlnwAA8vK66MUWDxa4sZsKKEwJIVmJrl1MTDmminHhoxgXnjc+07ql/YtKcMpRw+E//G+07n8BABBQAthWtw1bj2yFYtDcW5LsOPboWzD22F/D4UhMBVKx6JEky5Bt5l4u6mrr8f7S1Whp9mr2u90uDBs+KE2zIoQQ62OTXbBJ8d/crFcb0RjsCLW12TzIy9Wve2NGj8DHH3+KGTNmYOPGjQCAnTsrsHNnhea4Pn364OWXX8aiRYvCwrS0tBzFhcdDhYrmwzXwNO0HEJLHiiRBHjhcENIhMWwkpCMf2zIsfD1TMfcvDUII6Sk9bBcTqsobxIi+QquYGMN4K2qqsGb3ds2+C8dNQKDyX/Af/Htb2O43+Kr2K3iDXsNrlPWahFOOfwJFBcfFNHZXBAN+XRivw+E2dRjv4UM1WLFsDfyt2mJOOTluTJ4yAU6XNXJnCSHpoRAlWCrtSOsc1KCKwGYhBWOkC5Ij/d/dhShJyHXEZcioj2k7w4cPx4YNG/Dqq69i4cKFWL16NQ4fPgyXy4WhQ4di+vTpmDt3Lnr16oXnn38+fN7AgYMgy6HUDllywhbsGFQFINvzEvJaiDEUpoSQrKSnVXl9ShDykQCGD9eG8saaX/qm4Jbmuz34VvFmtB54A5UtldhUvQn1fuMqj5LUF6ef9DCGDJiZMMGoqipafc3w+1p0z9mdroSMkQ72VhzERx+sRzCodZsLCvMwecoE5ObyLjYhJD5kSUYx0ltATZVUBIKCMFWdUfetNgNyFH1MNcfLMi699FJceumlXR4X2bt0/PjxkRfQHCchtFaa+UZtpmOdT6tFqaurwwMPPIDx48ejtLQUOTk5GDZsGK655hqsW7cu3dMjxLTohKk7uq/DxgYv+qIehU6tixmLMK1rbsJ7X23U7Dt3sIyGA/Ow6uAqfHTwI0NRqqo2NAd+grJ+m3HUwFkJWxyDAT+aG+sMRWmod6nN4KzMZ8fWCqx8f61OlPbqXYxzzjudopQQYh2MljB99oepEde8RNSbqqurw1dffRXePv300zvGsxm8qexlmlTomGYwq1evxowZM7B3r7aP4Y4dO7Bjxw688MILuPvuu3HXXXelaYaEmBixXUyUjumRw00Yka8N41XzS4Cy6PMU39q4Dq3BjuZr+fYjGCQ9j+X7dnd6ji94LhoDDyKojkFhbmLuKaqqilZvM/ytekEKALJsg8uTmLzVVKKqKjZ/sR0bN2zRPddvQBkmTjoJdrs5xTYhhBhhdKNSVQEreXvia1ETIBJff/11+P2hNI9Ro0bhpJNO6hhPNhKmCujrJQ8K0wxl586d+N73voeqqipIkoRrr70WF198MfLy8vDpp5/ioYcewoEDB/DrX/8aRUVFuOmmm9I9ZUJMha5dTJTCtOFwM8YUCGG8MRQ+ag0E8J/PQ9EOdsmH4wo+xKiCVTjUbNzgvahgLKqbf4cj3nPC+xJRNDAY8MPb0gBVMb6l7nTlwOHymC5kSVFUrF+9Cdu26NvpHDVsIE45bQxkox8bhBBidmRoXVLLO6bxCVOfz4ff/va34e25c+dqnpdtBjcw6ZgmFQrTDOXWW29FVVUVAODpp5/GtddeG35uwoQJ+MEPfoCTTjoJhw8fxq9+9SvMmDED/fr1S9d0CTEdunYxUQrTxqoWnWMaSxjv8i2bcKSlHsPz1mFM4TJ4bE2Gx+W4++P4Ub/BUYOuwJMLtXPNj0OYhlzSJvhbjQsqyTY7XJ482ExYhTcYDOLjDzdgzzcHdM+NGjMMY8cdYzqhTQghUSMKU4uJKPGWohLHy1NVFddddx127twJABg9erROmBo6pp3czCWJgbeNM5Avv/wSixYtAgCcccYZGlHazsCBA/HAAw8AAJqbm/HYY4+ldI6EmB6xXUyUfUybDzf3WJgqioIVXzyL75X/BaeU/NtQlNptOTh+1G9w/pStOHrwHPgDMloFMzU/p2fiKhBoRXNDbaei1OnOgSe30JSitLXVj/eXrjYUpSeechyOP/FYilJCiLURv+IspqGidUzfeecd3H333WHRKbJjxw5MmzYNL7wQasvm8Xjwt7/9DQ6HQzueQY6pErTYm5phmO/XRxawcOHC8ONrrrmm0+Muu+wy3HzzzWhubsbChQvxu9/9LhXTI8QS9NQxLTi0D3mOVu25gjBVFD+amivQ0LQ99K8x9N/K2o0Y5daHmAKABAlHD7gYx495HB53n/D+hmb9sbGG8qqqAp+3GYEuXFK3J8+0vUpbWrx4f+lq1NVoC0bJsoRTzxiHwUcxmoQQkgXIEjQlgaxlmEISlHdnOaY1NTW47777cN9992HEiBEYM2YMSktL0dDQgC1btmD9+vXhY91uNxYtWqStxts+nixDhaD3aw5A9eQCThdgdwIOFySjkF/SI8z5K8TirFixIvz4rLPO6vQ4j8eDU089FcuWLcPOnTuxZ88eDBw4MBVTzCgUVcER1KR7GsRk1HpqoPaKsCLzPHCpvs5PaKNX4GvUFgCKrKI5V0F1vhNS3Tw079uF5qZdaGrahZbmPVDVYNRzKc0tx8jj/4jCsu/AC8CrVoWf29eiwOvquEPrdgINsj3qHxyBQCtaW5pCDcANtLfDlQOHww2fVGfKHzGNDc1YuWIdmptagIiuNna7DadOPB4FfZ2ojXg/CSGkK4JqEAGE1gYbQoIjoPpNERYbtAeAYMc8VUiQVes4fKoUBKSO16NIbX8bgaDasbZv3boVW7duNbzeSSefhCeffhInnjjO8DqKrEKRhf6pviNQfEe0B9psbSLVCdhdkBztj51A2w1fG+yM2okCCtMMpL2fUkFBAQYMGNDlsaNGjcKyZcsAhEKA4xGmlZWVOHz4cPcHRrB9+/Yej5co/vnWjfAqT6V7GsRsiMWsGwD8u/vTBlwE/AeAPdiu85qATT2rjH2oUMYHo93Y26sJwHXGwrAMwIXaXS/H8vvIBiCafuCZ/5vLmDwA3zN+6nHAvK+LEJIWctQ83KL+AQBwlHQMAGAHvtK5dRnJiHRPIMnYARR2bAYAbMU+3WEjvn8UHn/9YXzy3mp8sXoTqg5UoeZwLdweF3qV98KYU0bj3IvOwZnnTYQsy9iKTcbjyQCGRjOxIICWtn/GlO8pRvGgIdFcLKuhMM0wfD4fDh06BABRiczIY775xjhEMFqefPJJ3HvvvXFdIy1IKhzRm1OEpJ16j4SVo9zY0t8u3IolhBBCSDzk5uXg7Au/jbMv/Ha6pxJGspBznUwoTDOMhoaG8OO8vO5tjvz8jh6DkecSQtKP1wHU5crhf0dyZdTmyThYZIMqU5ASQggh2UBAouSKBr5LGUZLS0cYgNPp7PZ4l6sjqSryXEJIamhySTiSK6MuR0ZdnqwRoj4nxSchhBCS7SgUplHBdynD8Hg84cetra1dHBnC5+so1hJ5bk+4/vrrcfHFF8d0zvbt23HhhRfGNW68DC+ajh2HS9I6B2JibBIkW+wCUnZ6kNfrWPSx53bsDAKob/vXCU6bGwU5fY37o3WBBCDXE6o0GxNqe5qldUWyw2FHXl4OC0sQQuImKAVxQAq1BGsvfjQUR8Fulp/MKqB6rZ1cH1AVBFIYGqsqKgL+WHPGVEhKELLih6z44Szh79RoMMn/y7KHyNDcxsbGbo+PPCby3J5QVlaGsrKyuK6RDk6eOAUnY0q6p0EIIYQQkxOQAjgsVPq3Sw7YzeJ4SQBibClmNhzdH0JMSmy37EnScblcYXG4Z8+ebo+vqKgIPx40aFDS5kUIIYQQQgghyYLCNAM57rjjAAD19fXYu3dvl8d++eWXuvMIIYQQQgghxExQmGYgkyZNCj9evnx5p8e1tLTgk08+AQAcddRRcfUwJYQQQgghhJB0QWGagVx00UXhx3/96187Pe7vf/87mpubdecQQgghhBBCiJmgMM1AjjvuOEybNg0A8OGHH+LZZ5/VHbNnzx787//+L4BQNd6bb745pXMkhBBCCCGEkERhkhJj2cef/vQnrFq1CjU1NZg7dy4+++wzXHzxxcjLy8Pq1avxwAMPoLIyVM78gQceQP/+/dM8Y0IIIYQQQgjpGRSmGcqwYcPw1ltvYcaMGdi/fz+efvppPP3005pjZFnGXXfdhVtuuSU9kySEEEIIIYSQBEBhmsGceuqp2Lx5M5544gm88cYb2LFjB7xeL8rLy/Htb38b1113HU4++eR0T5MQQgghhBBC4oLCNMMpKirCHXfcgTvuuCPdUyGEEEIIIYSQpMDiR4QQQgghhBBC0gqFKSGEEEIIIYSQtEJhSgghhBBCCCEkrVCYEkIIIYQQQghJKxSmhBBCCCGEEELSCoUpIYQQQgghhJC0QmFKCCGEEEIIISStUJgSQgghhBBCCEkrFKaEEEIIIYQQQtKKPd0TIObG5/Nptrdv356mmRBCCCGExIeqqmhtbQUAuFwuAIDX64XNZkvntEgWEgwGoSgKgI7f219//TUkSYr6GuLvcvF3e6ZBYUriYs+ePZrtCy+8MD0TIYQQQgiJk/z8fDzxxBMAgJEjRwIIiQFC0slXX30FALjhhhvQ0NDQ4+vs2bMHJ554YqKmlXAoTAkhhBBCCCGWYf/+/fj000+xfv167NixAwcPHkRzczNyc3NRVlaGMWPG4Nxzz8VJJ52U7qmSCChMCSGEEEIIIaZny5YtePDBB7F582bD5+vr61FfX4/t27fjjTfewEknnYR77rkHffv2TfFMiRGSqqpquidBzEtdXR1WrFgR3h44cGA4JyOVbN++XRNG/Oabb2LYsGEpnwcxD/zMkFjhZ4b0BH5uzIVRjungwYNTmmPq8/k0uYHDhg1Ly28rM/Laa69h9uzZmn3Dhw/HqFGjUFpaiiNHjuCTTz7Bvn37ws+Xl5dj6dKlOOqoo1I93S4JBoP45ptvAHTkhjqdzk5zTI2+awYOHKhJu5s0aRKKioqSNud4oWNK4qKoqAgXXHBBuqehY9iwYTjuuOPSPQ1iIviZIbHCzwzpCfzcZDaBQADbtm3T7HO73bDb0/eT2eVywePxpG18M+F0OgGE/n929dVX4/LLL0f//v01xyiKgnnz5uGmm25Cc3MzDhw4gKuuugofffRRTIWFkk0gEIAshxqotP/9hw8fHvVnsf27JpNzSkUoTAkhhBBCCCGmp7y8HC+88AKuuOKKTl1uWZbxox/9CMXFxZg+fToA4JNPPsE777yDc889N5XTJQLsY0oIIYQQQggxPZMmTcKcOXOiCr3+wQ9+gFNOOSW8/dZbbyVzaiQKKEwJIYQQQgghWcfEiRPDj3fv3p2+iRAAFKaEEEIIIYSQLCQypzQYDKZxJgSgMCWEEEIIIYRkIRs3bgw/HjhwYBpnQgAWPyKEEEIIIaTHqKoCX2t1wq7na21BIFgbsX0YkmzeqrwuZykkKfO8sIqKCixbtiy8fc4556RxNgSgMCWEEEIIIaTH+FqrsfDtsqRdf/v+pF06JVw0tRJuV+90T0PHrbfeGg7fHTRoEKZNm5bmGZHMu31BCCGEEEIIIUli/vz5+Ne//hXefvDBB+FyudI4IwJQmBJCCCGEEEKyhLVr12Lu3Lnh7ZkzZ2LWrFlpnBFph8KUEEIIIYQQYnl27dqFadOmwev1AgDGjh2Lp59+Os2zIu0wx5QQQgghhJAe4nKW4qKplQm7ntfbgq+/3hLePvbYY+B2m7v4USZw4MABTJkyBQcPHgQADB06FEuWLEFBQUGaZ0baoTAllqB37964++67NduEdAU/MyRW+JkhPYGfG+sjSXJCi/vYZD8GDez4iZ6b0xsOhyNh189GqqurMWXKFOzYsQMAUF5ejqVLl6K8vDzNM0scVviukVRVVdM9CUIIIYQQQtJNIBDAtm3bNPuGDx8Ou51ejlmpr6/HWWedhXXr1gEAevXqhRUrVmDUqFFpnlnXZONnkTmmhBBCCCGEEMvR1NSEqVOnhkVpYWEhlixZkvGiNFuhMCWEEEIIIYRYCq/Xi/PPPx+rVq0CAOTk5OCtt97CSSedlOaZkc6gMCWEEEIIIYRYBr/fjxkzZmDZsmUAAJfLhUWLFmHixIlpnhnpCgpTQgghhBBCiCUIBoOYNWsW3n77bQCA3W7Hq6++inPOOSfNMyPdQWFKCCGEEEIIMT2qquKqq67CwoULAQCyLOPFF1/E+eefn+aZkWiwblknQgghhBBCSNbw1FNPYf78+eHto48+GitXrsTKlSujOv8vf/lLsqZGooDClBBCCCGEEGJ6KisrNdvbtm3TtVzpCgrT9MJQXkIIIYQQQgghaYXClBBCCCGEEGJ67rnnHqiq2uN/JL1QmBJCCCGEEEIISSsUpoQQQgghhBBC0gqFKSGEEEIIIYSQtEJhSgghhBBCCCEkrVCYEkIIIYQQQghJKxSmxNTU1dXhgQcewPjx41FaWoqcnBwMGzYM11xzDdatW5fu6ZEUUV9fjxUrVuDhhx/GzJkzMWLECMiyDEmSIEkSdu/eHdP11q1bh2uuuQbDhg1DTk4OSktLMX78eDzwwAM4cuRIcl4ESSk7duzAE088gUsuuQQjR45Efn4+nE4nysrKMHnyZDzwwAM4dOhQ1NdbtmwZZs2ahSFDhsDtdqOsrAxnnnkmHn/8cXi93iS+EpIq/H4/Fi9ejLvvvhvf//73MWrUKPTp0wdOpxP5+fk45phjcNlll2Hx4sVRV/fkd0324vP5sH79eqxduxZr167FF198EdV59fX12LlzJ7744gusW7cOGzZswNdff41Dhw5BUZQkz5qkgi+++AJr167Fhg0b0NTUhKampvDnpKSkJPzbRpIkPProo91ez0zrk6SyNjIxKatXr8aMGTOwd+9ew+dtNhvuvvtu3HXXXSmeGUk148aNw4YNGzp9fteuXRgyZEhU17r//vtx7733IhgMGj4/YMAA/Otf/8Ipp5zSg5mSTGDOnDmYP39+t8cVFBTgiSeewOWXX97pMYqi4Prrr8czzzzT6TEjR47E4sWLMWzYsB7Nl2QGe/fuxcCBA6M69vTTT8fChQtRXl7e6TH8rslMAoEAtm3bptk3fPhw2O32hI2hqiq2bt2KhoaG8D6n04mxY8d2eU5FRQUOHz7c6TFutxvDhg2D2+1O2FxJ6vniiy/Q2tqq2ffVV18BAG644QbN5+aRRx7BLbfcYngdM65PFKbElOzcuRMTJkxAVVUVJEnCtddei4svvhh5eXn49NNP8dBDD+HAgQMAgMcffxw33XRTmmdMkskJJ5yAzz//HABQWFiIcePG4euvv8bBgwcBRC9MH3/8cdx8880AgPLyctx+++045ZRT0NjYiNdeew3PPvssVFVFr1698Omnn2Lo0KFJe00keZxzzjl47733kJubi2nTpuGss87CMcccg/z8fOzZswevvfYaXn75ZaiqCkmS8Morr+CSSy4xvNatt96KRx55BEDox+svf/lLjB07FlVVVXjhhRfw2muvAQCOPvporFmzBsXFxSl7nSSx7N27F8cffzwmTZqEk08+GUcddRT69u2L4uJiHDlyBJ9//jmee+45bNy4EUDoB9/69esNRQK/azKXVAjTyspKVFRUwOFwwO/3A+hemO7ZsyccxeFyudC3b1/k5OQgEAigqqoKtbW14edGjhyZ0PmS1NIuTD0eT3ifz+cDADgcDkiSFN5fXl6O0tJSw+uYcn1SCTEhF1xwgQpABaA+88wzuucrKirU3r17qwDUnJwcdd++fWmYJUkVjz32mPr3v/9d3bp1q6ooiqqqqjpp0qTwZ2TXrl3dXmPfvn1qTk6OCkAtKytTKyoqdMc8/fTT4WteeOGFiX4ZJEVcccUV6qOPPqo2NDR0eswrr7wS/lv36tVLbWpq0h2zbt06VZIkFYA6cuRItba2VnfML3/5y/B1brnllkS+DJJigsGgGgwGuzzG7/er06ZNC//Nn3jiCd0x/K7JbPx+v/rll19q/vn9/oRd3+v1quvWrVPXrFmjVldXq2vWrFHXrFmjfv75552e09jYGD5u48aNhvPZs2dP+BijzxQxD59//rm6Zs0a9auvvurxZ9Gs6xNzTInp+PLLL7Fo0SIAwBlnnIFrr71Wd8zAgQPxwAMPAACam5vx2GOPpXSOJLX85Cc/wcyZMzF8+HDNncRYePTRR9Hc3AwAeOCBBwxD9n784x/jjDPOAAC8+eab4dAaYi4WLFiAm2++GXl5eZ0ec+mll+LCCy8EAFRVVWHp0qW6Yx566KFwLuGf//xnFBUV6Y75zW9+E3brn3zySdTV1cU7fZImZFmGLHf9s8lut+P2228Pby9fvlx3DL9rspvdu3dDURQUFRWhpKQkqnPao38AYNCgQYZuaP/+/eF0OgGEHNlAIJCYCRNTYtb1icKUmI6FCxeGH19zzTWdHnfZZZchJydHdw4hRrR/RnJycjBr1qxOj7v66qvDj9vDYIg1Ofvss8OPt27dqnmupaUFb7/9NgBg6NChmmMjsdvtmDNnDgCgtbUVixcvTs5kScZQUFAQflxfX697nt812cvhw4fR0NAAm82GQYMGRXWOoijhQlgul0vz+YpEkiT06tULQCgfNRNEBkkPZl6fKEyJ6VixYkX48VlnndXpcR6PB6eeeiqAUE7qnj17kj43Yk727NmDXbt2AQBOO+00TV6HSORnLvKzSKxHZPEJm82meW7t2rVoamoCAHz729/u8jr8zGQXL730Uvjxscceq3mO3zXZi8/nC/8OGTBgQNjd7I6mpqZwtd38/Pwuj418vrGxsYczJZmGqqrwer1Ru+BmXp8oTInp2Lx5M4DQXekBAwZ0eeyoUaPCj7/88sukzouYl/bPFKD9zBgxcODAcAgoP1PWJjIM87jjjtM8F8tnht9D1kZRFBw8eBDvv/8+LrvsMjz00EMAQsVs5s6dqzmW3zWZj1E6iJqAOqHffPMNFEVBfn4+evfuHfV5LS0t4cfdVduNvNEReR4xJ01NTWhubkZTUxM2bdqEDRs24KijjsJll12GNWvWdHqemdcnClNiKnw+X7gqXTRl+yOP+eabb5I2L2JuIj8b0YRXtX+uDh48qCvpTqzB2rVr8d///hdAKHdLvOscy2emvceyeB4xL+0V4SVJgs1mQ3l5Ob797W/j73//O4BQdfA33ngDI0eO1JzH75rMxyiPOF6Rd/jwYdTX10OWZQwePDimcyP/7t25rHa7PTx/fl7Mj6qqUFU1/LcMBALYu3cv/v73v2PChAm47bbbDHvXmnl9ojAlpiKyd1NXhUvaiQxriTyXkEj4uSKRNDY2Ys6cOeH+kg8++CAcDofmmFg/M+3H8PNibSRJwq233ootW7Zg6tSpuuf5XZP5SJIU/qHeTk1NTY9d09bW1nC/9X79+sXcYzRSeIgpBUa0C9PO+uOSzMfhcKB3797Iz89HTk4OiouLMW7cOIwePRo/+clP4HA4oKoqHn74Ydx222268828PrHJETEVkXcto8nPcLlchucSEgk/V6QdRVFw2WWXhUOhLr30UlxxxRW643r6meHnxRoUFxeH+5UGg0FUV1fj448/xrPPPovHHnsMW7ZswTPPPIP+/ftrzuN3jTkoKCgIV04GQu/9N998g5KSErjd7m6rM0eya9cuBINB5OTkoLS0tNM8QVVVDZ+L3KcoSrd5hu2hyNEcSzILVVXh9/tRWlqK+vp6KIoS/nvabDYce+yxeOyxx/A///M/+M53voPm5mY8+uijmDlzJsaPHx++jpnXJwpTYioi8yeiCVNpb0gsnktIJPxcESD0o+Caa64JVyacMGECnnvuOcNje/qZ4efFGthsNowePVqz76yzzsLNN9+MGTNm4K233sJJJ52E5cuXa8J5+V1jDvLz83Ho0CGNS9rS0oJ9+/bFdJ1AIACfzwdJkqCqKrZv397pscFgENu2bdPtj/yc7Nu3r1vXtF2MSpJkeD1iTux2e9jZnDhxIn7zm9/g1ltvhaqqeOqppzTC1MzrE0N5iamIteJc5DHdVbMj2Qs/V0RVVVx//fX429/+BgAYN24clixZgtzcXMPje/qZ4efF2uTl5eHFF1+Ex+PBoUOHdMWP+F1jDux2OwYMGNDjvtgANLmBkbmf8ZCIIkzEfNjtdgwcOFDzeZw9e3b4MyVW0zXz+kTHlJgKl8uFsrIyVFZWRtX+paKiIvw42p5hJPuI/GxEfmY6o/2z16dPn6hL/pPM5qabbsLTTz8NABg7dizeffddw4bk7cTymamurg6HBfJ7yPqUlZXhjDPOwLvvvosPPvgABw4cQHl5OQB+15iJvLw8DBgwAHv37u2RINy3bx8OHjwYLnjUmcjduXMngJD4aP98yLIc/v45cuRIuCjNwIED0adPn07HDAQC4cqqubm5uuJbxHy43W4MGDBAV+egpKQEvXr1QmVlJQ4cOKB5zszrE4UpMR3HHXccKisrUV9fj71793bZMiay9LXY7oGQdiI/G92VS9+zZ0+4QAA/U9bgpptuwhNPPAEAGDNmDN577z2UlpZ2eU4snxl+D2UfvXr1Cj/evXt3WJjyu8Zc5OXlYdiwYWhoaEB9fb0m77Q72sWsoijh3rVdEQgEwiLV6XSGhWlksaTucgAjn8+EsEzSM1wuF3Jzc5GXl4ecnJxOb2q0F7iy27VyzszrE4UpMR2TJk0K9xdcvny5YWESIPQF/cknnwAAjjrqqKjay5DsZNCgQRgyZAh2796NTz75BF6vt9PKiZG9LSdNmpSqKZIk8ZOf/AR/+ctfAPx/e/cfVXV9x3H8dfkRP02hkGTyQzRMLM2ZoA3yx2ZNC6ulOWM75GTH7VSO02lLt5NoO+uUnebOZmUmSlOLZhPOarMzI3NqIODKJiJMBgnoUECnCMav7/7w8D0Xgcvl57erz8c595zP5b6/n/v5fu/1yovv934+V/5Tzs7O7hAqunPXXXfJ19dXDQ0NHd4TXeE9c/1pn4VV6nh5HJ81rsfDw0MBAQEKCAiQYRhqa2tz6gzq1q1bzasweis0NFRHjhyRdOV3mYSEBDU2NioiIkL//Oc/u91u3bp15jq6r732mubOndun54c1bDab3NzcnLqEvLKyUrW1tZLU6QSNS///ZAAu5ujRo4YkQ5IRHx/fbd3mzZvNup///OdDOEJ8HcycOdN8/cvKynqsf+aZZ8z6zZs3d1sXFxdn1hUWFg7giDHUVqxYYb6WEydONKqrq3u1/cKFC83tP/rooy5rmpubjYiICEOSccMNNxh1dXUDMXR8jZWVlRmenp6GJMPPz89oaGjo8DifNbDX/hqHh4d3W8NnDa72i1/8wnxPPPnkk50ed9X3DMEULikhIcH8B/fGG290evzkyZPGyJEjDUmGj4+PUVlZacEoYaXeBtPKykrDx8fHkGSMHDnSqKio6FSzceNGs88FCxYMwqgxVFJSUszXMjo6uteh1DAMo6CgwLDZbIYkY8KECcb58+c71axcudJ8nhUrVgzE0GGR7du3G2fPnnVYc+bMGWPatGnma56cnNyphs8a2HMmmPJZc/14//33jYsXLzqseeuttww3NzdDkuHp6WkUFxd3qnHV94zNMJjiC67nxIkTio2NVV1dnWw2m5YvX65FixbJ399feXl5euGFF8wvg69fv14pKSnWDhiD6sSJEzpw4ECHn7344osqLi6WJL388ssdLs/09/fXwoULO/Wzfv16Pf3005KkUaNG6Ze//KViYmJUX1+vnTt36o033pBhGAoMDFReXp7Gjh07iHuFwfLss89q3bp1kqSgoCBlZGRo5MiRDrcJCAjotCalJP3sZz/T73//e0lSVFSUVq5cqTvuuEM1NTXasmWLdu7cKUmKjIxUfn6+AgMDB3hvMFRmzZqlQ4cOaf78+Zo9e7aio6MVEBCglpYWVVVVad++fXrrrbd07tw5SdK4ceOUm5vb5feV+axBu/bLNsPDw1VeXt5tHZ8114dZs2bps88+U0JCguLj4zV+/HiNGDFCly9fVlFRkd555x3t2bPHrHf0O65LvmeszcVA3+Xk5BghISHmX3uuvrm5uRmpqalWDxNDYOvWrd2+D7q6OfrL9OrVq82/RHZ1CwkJMXJycoZu5zDgwsPDe/V+kWQkJSV12Vdra6uRnJzscNvx48cbJSUlQ7uTGHD2V2H0dJs/f75x+vRph/3xWQPDcO6MqWHwWXO9cPZzxt/f30hLS3PYlyu+ZzhjCpd2/vx5vfrqq8rMzFRpaakuX76sUaNGafbs2frpT3+qu+66y+ohYgikp6dr6dKlTtf39JfpgoICvf7669q7d69Onz4tb29vjR07Vg8//LCeeOIJh8uI4OsvIiLCXH7BWUlJSUpPT+/28ezsbL355pvKyclRdXW1hg0bpvHjx2vRokVavnx5txPcwHVUVFRo9+7d+vTTT3Xs2DFVV1fr7Nmzam1t1fDhwzVu3DjFxsbq+9//vmJjY53qk88aOHvGtB2fNde2w4cPa+/evcrLy1NRUZFqa2tVW1srd3d33XTTTZo0aZLmzp2rpKQkBQQEONWnK71nCKYAAAAAAEu5WT0AAAAAAMD1jWAKAAAAALAUwRQAAAAAYCmCKQAAAADAUgRTAAAAAIClCKYAAAAAAEsRTAEAAAAAliKYAgAAAAAsRTAFAAAAAFiKYAoAAAAAsBTBFAAAAABgKYIpAAAAAMBSBFMAAAAAgKUIpgAAAAAASxFMAQAAAACWIpgCAAAAACxFMAUAAAAAWIpgCgAAAACwFMEUAAAAAGApgikAAAAAwFIEUwAAAACApQimAAAAAABLEUwBAOjCmjVrZLPZZLPZtGbNGquH4xIOHz4sd3d32Ww2/fa3v+2y5vHHHzePa3p6+tAOcBBs3LjR3J8DBw5YPRwAcFkEUwCASysvLzeDwUDdCKK9ZxiGnnzySbW1tSk8PFxPPPGE1UMaEsnJybr11lslSU899ZRaW1stHhEAuCaCKQAA6LedO3cqNzdXkrRq1Sp5eXlZPKKh4eHhoVWrVkmSPv/8c23fvt3iEQGAa/KwegAAAPTHjTfe2OPZuby8POXn50uSQkJC9PDDDzusj4mJUV5e3oCN8VrX2tqq1NRUSVJwcLAef/xxawc0xH7wgx/oueeeU1VVldauXavHHntMnp6eVg8LAFwKwRQA4NICAwO1YcMGhzVr1qwxg+mtt97aY70kzZ8/n0t6nZSVlaXjx49LunJp6/VytrSdp6enkpOTtXbtWpWVlelPf/qTEhMTrR4WALgULuUFAAD98rvf/c5sL1u2zLqBWOhHP/qRbDabpI7HAwDgHIIpAADos5KSEnM22piYGI0ZM8biEVkjLCxM06dPlyQVFBToX//6l8UjAgDXQjAFAKALziwXk56ebta0f6+yra1Nb7/9tubNm6fQ0FB5eXkpODhYjzzyiHJycjr10dTUpG3btunb3/62QkND5e3trbCwMCUlJamoqKhXY25ubta2bdv06KOPKjIyUsOGDZOfn5/GjBmjJUuWKDMzU4Zh9PZQOLRjxw6z/dBDD/Wpj4aGBr322muKi4tTcHCwvLy8FBoaqiVLlujgwYM9bt/Va9XY2Ki0tDTde++9CgsL0w033CCbzabPP/+8w7b19fXauHGj7r//foWFhcnX11eenp4aPny4brvtNiUkJOiFF17Q0aNHexyH/XeXmQQJAHqH75gCADBAampqtHjxYn388ccdfn7mzBnt2rVLmZmZSktL09KlSyVJJ06c0IIFCzoF0IqKCv3xj39URkaG3n33XacC3yeffKLk5GSVlpZ2eqy8vFzl5eXKyMjQ9OnT9d577+kb3/hG33fUzvvvv2+258yZ0+vtjx07poULF3Y6BpWVlcrIyFBGRoZWr16ttWvXOt1nUVGRFi1apMLCQod1OTk5WrRokaqqqjo9duHCBV24cEHFxcX64IMP9Ktf/UrNzc3y8Oj+Vyf7/f/ggw/00ksvOT1mALjeEUwBABgALS0t+t73vqf9+/fL29tbM2fOVFhYmOrq6pSdna3z58/LMAxz3cuoqCjNmTNHFRUVuvHGG3XPPfdo1KhRqq6u1kcffaSGhgY1NTXpscceU2FhocNLZHfu3KnExEQ1NzdLknx8fDR9+nRFRETIzc1NJSUlysnJUUtLi3JzczVjxgzl5+crODi4X/tcU1NjnoH08fHR1KlTe7X9qVOn9J3vfEenT5/WiBEjFB8fr1tuuUU1NTX6+OOP9b///U+S9Pzzzys6OlqLFy/usc/a2lp997vf1cmTJ+Xt7a24uDiFh4ervr7eXM5GuhL+77vvPl28eFHSlQmMpk2bpnHjxsnX11eXLl1SeXm5jhw5ogsXLji1P1OmTJG/v7/q6+t17NgxnTp1SiEhIb06JgBw3TIAALjGpaamGpIMScbMmTN7vU1qamqXNVu3bjVrvLy8DEnGgw8+aFRXV3eoq6urM+Lj483a2bNnGw899JAhyfjJT35iXLhwoUN9RUWFMWHCBLN+6dKl3Y7z6NGjho+PjyHJsNlsxjPPPGOcO3euU11paakRFxdn9jlv3jynjoMjf/3rX83+pk6d6tQ2SUlJnY7Zs88+a1y6dKlDXW1trTFnzhyzNjIy0mhra+uyT/vXysPDw5BkLFy40Dhz5kyHutbWVqOpqckwDMNISUkxt4mPjzeqqqq67Lu5udn45JNPjMTERKOlpaXH/ZsxY4bZb2ZmphNHBABgGIbBd0wBABgAX331lWbNmqU///nPGjlyZIfHAgICtG3bNrm7u0uS9u7dq6ysLCUlJen111/XsGHDOtSPHj1ab775pnn/vffeU0tLS5fPu2LFCjU2NkqSXnnlFb388ssaMWJEp7rIyEh9+OGHio6OliTt3r1bhw4d6vP+StIXX3xhtm+77bZeb//VV19p1apVevHFF+Xr69vhscDAQL399tvy8/OTJP3nP/9xam3ZlpYW3XvvvXr33XcVFBTU4TE3NzdzfdH9+/ebP9+yZUu3ZzY9PDw0c+ZMbd++3Xz9HJkwYYLZPnLkSI/1AIArCKYAAAyQ9evXdxtewsPDdffdd5v3vby8tG7dum77+ta3vqXQ0FBJ0sWLF811Qu0dOXLE/D7rlClTlJKS4nB8fn5+eu6558z79hMX9UVZWZnZHj16dK+3DwoK0urVq7t9PDg4WPfff79535lgKl1ZrsXNzfGvOPaX514dYPvD/ru75eXlA9YvAFzrCKYAAAyAsWPH6s4773RYc8cdd5jt+Pj4TmdWr3b77bebbfsQ2O5vf/ub2V6yZIm5jqYj9hP0tC/z0lfV1dVm+6abbur19gkJCfL29nZYM2XKFLPtTNCbNGlSh7OW3WkP/ZK0cePGHuuddfPNN5vt//73vwPWLwBc65j8CACAAWAfIrsTEBBgtidOnNhjfWBgoNnuagIe++Vn9u7dqy+//LLHPg275WIqKip6rHfk0qVLZvvqS3GdYR/Uu2MfeJ2ZhMjZCZgeffRR82zzypUrtWfPHiUmJmru3Ll9Ovvbzv442B8fAIBjBFMAAAbA8OHDe6yxX2qkt/XtM+7aO3XqlNnevXt3j/1d7dy5c73epjtGH9ZHdeYYtH8nVOr6GFzN2ctyk5OT9eGHHyorK0uSlJ2drezsbElSWFiY4uPjNXv2bD344IMdzoL2pC/HAQDApbwAAAwIZy6j7U99V9qXU+mr1tbWfm3fPjGRJHMCpt4YiGNwNR8fH6fq3N3dtWvXLm3evNmcEKrdyZMntWPHDiUnJyskJETJycmqq6tzql/742B/fAAAjhFMAQBwUfbBZ9euXTIMo9e3/rjlllvMdk1NTb/6soLNZtOyZctUWFio4uJibdq0SUlJSYqMjDRrmpublZaWppiYGJ09e7bHPu1r7I8PAMAxgikAAC4qODjYbFsx0c6YMWPMdmVl5ZA//0CKiorSj3/8Y6Wnp6u0tFTFxcV6+umnzVmWS0tLtXbt2h77qaqqMtsRERGDNVwAuOYQTAEAcFGxsbFm++DBg0P+/JMmTTLbxcXFQ/78gykqKkqvvPJKhzD6l7/8pcftioqKzPbkyZMHZWwAcC0imAIA4KIeeOABs71r164Oy7cMhWnTppnfEz127JhaWlqG9PmHwoIFC8x2T8e3ra1NR48eNe/HxMQM2rgA4FpDMAUAwEXFxMRo1qxZkq5MuvPDH/5QTU1NTm3b1NTU71l5b775ZnPt1sbGRh0+fLhf/Q0lZ78Ta7+kTk/rzn722Weqr6+XJEVHRyskJKTvAwSA6wzBFAAAF/aHP/xB/v7+kqQ9e/bonnvu0aFDh7qtLykp0a9//WtFREQMyOW/CQkJZrt9XVBXEBYWpuXLl2vfvn1qa2vrsqagoEBPPfWUeX/evHkO+7Tff/uz2QCAnrGOKQAALuz222/XO++8o8WLF6uhoUGHDh3S9OnTNXbsWH3zm99UYGCgLl++rDNnzuiLL77oMDnPQEhMTNTzzz8vScrKytKqVasGtP/B0tjYqE2bNmnTpk0aNmyY7rzzToWHh8vPz081NTU6fvy4CgsLzfqgoCCtWbPGYZ+ZmZlmOzExcbCGDgDXJIIpAAAu7oEHHtCnn36qZcuWmZfTlpaWqrS0tNttIiIiNHr06H4/d1RUlOLi4nTgwAHl5+errKysw2y9X1f+/v7mZbcXL17U/v37tX///i5rJ0+erIyMDIeX5lZUVCg3N1eSNHXq1A4TQwEAekYwBQDgGjB58mQVFBTo73//u7KysnTw4EGdOnVK58+fl5eXl4KCgjR+/HjFxsbqvvvu04wZM8yJi/orJSVFBw4ckGEY2rx5s37zm98MSL+Dqba2Vv/4xz+0b98+5efn69///reqq6t1+fJl+fr6avTo0Zo6daoeeeQRLViwQG5ujr/9tGXLFnNd2JSUlCHYAwC4ttiM/q6uDQAArmttbW2aOHGijh8/ruDgYJWXl8vb29vqYQ2Z5uZmRUZGqrKyUhERESopKZGnp6fVwwIAl8LkRwAAoF/c3NzM9T6rq6uVnp5u7YCG2I4dO1RZWSlJSk1NJZQCQB9wxhQAAPSbYRi6++67lZubq/DwcBUXF8vLy8vqYQ26lpYWTZw4USUlJZo8ebIOHz4sd3d3q4cFAC6HM6YAAKDfbDabNmzYIDc3N3355Zd69dVXrR7SkEhLS1NJSYkkacOGDYRSAOgjzpgCAAAAACzFGVMAAAAAgKUIpgAAAAAASxFMAQAAAACWIpgCAAAAACxFMAUAAAAAWIpgCgAAAACwFMEUAAAAAGApgikAAAAAwFIEUwAAAACApQimAAAAAABLEUwBAAAAAJYimAIAAAAALEUwBQAAAABYimAKAAAAALAUwRQAAAAAYCmCKQAAAADAUgRTAAAAAIClCKYAAAAAAEsRTAEAAAAAliKYAgAAAAAsRTAFAAAAAFiKYAoAAAAAsBTBFAAAAABgKYIpAAAAAMBSBFMAAAAAgKUIpgAAAAAASxFMAQAAAACWIpgCAAAAACxFMAUAAAAAWIpgCgAAAACwFMEUAAAAAGCp/wPmAQ5xpZInOwAAAABJRU5ErkJggg==" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": "
    ", - "image/png": "iVBORw0KGgoAAAANSUhEUgAAA6YAAAMQCAYAAAA0EXiDAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAC4jAAAuIwF4pT92AAEAAElEQVR4nOzdd3hUZdoG8Hv6pHcSkhCQ3psUAZFiR1GxoriCYMFe14Ki4Kp8lnWxoa4FWHUpNsRe6L1Ir0oLISSQ3qef748sQ86ZdiYzkzPJ3L/r2mvnnLznzDsxTPLM877PoxIEQQARERERERGRQtRKT4CIiIiIiIgiGwNTIiIiIiIiUhQDUyIiIiIiIlIUA1MiIiIiIiJSFANTIiIiIiIiUhQDUyIiIiIiIlIUA1MiIiIiIiJSFANTIiIiIiIiUhQDUyIiIiIiIlIUA1MiIiIiIiJSFANTIiIiIiIiUhQDUyIiIiIiIlIUA1MiIiIiIiJSFANTIiIiIiIiUhQDUyIiIiIiIlIUA1MiIiIiIiJSFANTIiIiIiIiUhQDUyIiIiIiIlIUA1MiIiIiIiJSFANTIiIiIiIiUhQDUyIiIiIiIlIUA1MiIiIiIiJSFANTIiIiIiIiUhQDUyIiIiIiIlIUA1MiIiIiIiJSFANTIiIiIiIiUhQDUyIiIiIiIlIUA1MiIiIiIiJSFANTIiIiIiIiUhQDUyIiIvLLjBkzoFKpoFKpMGPGDKWnQ0RELYBW6QkQEVHkWblyJRYvXozNmzcjNzcXFRUV0Gg0iIuLQ05ODjp37oyBAwdi+PDhOPfcc6FSqZSeMrVwdrsde/fuxZYtW7B161Zs2bIFu3btgtVqBQCMGDECK1eubPT9ly1bhvnz52Pjxo3Iz8+HwWBAdnY2Lr30UkyZMgVdu3YN0ishImqeGJgSEVGT2b9/PyZPnoyNGze6fM1qtcJkMqGoqAh//PEHFixYAADo0aMH9uzZ09RTpQiyZMkSTJgwAbW1tUG/d2VlJe666y4sWrRIdL62thZlZWXYvXs33nzzTcycORNPP/100J+fiKi5YGBKRERNYvv27Rg9ejTKy8ud59LT0zFgwABkZGRApVKhpKQEe/bswaFDhyAIAgCIxhOFQnl5eUiCUqvVinHjxmH58uXOcz179kT//v1hMpmwZs0aFBQUwGq1Ytq0abBarXjuueeCPg8iouaAgSkREYWc1WrFLbfc4gwyMzMz8e677+Kqq66CWu1a7qCoqAjffvstPv30Uxw5cqSJZ0u+zJgxo0XuLU1PT8fAgQOd//vll1/w5ptvNvp+//jHP5xBqdFoxNy5czF+/Hjn1y0WC5599lm89tprAOq/ryNGjMCIESMCeyFERM2QSjjzkTQREVGIfPHFF7jxxhsBAFFRUdixYwc6d+4s69rDhw+jQ4cOoZweRbjCwkJYLBbk5OSIzs+YMQMzZ84E4P8e09OnT6N9+/aoqakBALz//vu4++673Y4dP368c6nvkCFDsH79+ka8CiKi5o1VeYmIKOR+/fVX5+Orr75adlAKgEEphVxGRoZLUBqo+fPnO4PSzp0746677vI49tVXX3WuHNiwYQO2b98e1LkQETUHDEyJiCjk8vPznY/btm0bkuew2+1YvHgxbrvtNnTp0gVJSUnQ6XRISUnB4MGD8dBDD2HZsmWQs1Boy5YteOSRR9C3b1+kpaVBr9cjIyMDI0aMwCuvvIKysjKf92jXrp2zpcqxY8cAACdOnMD06dPRp08fJCYmIiYmBl27dsUDDzyA3NxcWa+zoqICCxYswN13343BgwcjNTUVer0e8fHx6NChA26++WYsXrwYDofD573mzZvnnOOkSZMA1H8fFy5ciKuvvhrt27dHVFQUVCoVlixZ4rzO33YxVqsVc+fOxTXXXIO2bdsiKioK8fHx6NKlC6ZMmYLffvtN1mtvThp+vyZNmuS1snROTg5Gjx7tPP7mm29COTUiovAkEBERhdgVV1whABAACDfeeGPQ77969Wqhc+fOzufw9r8nn3zS431KS0uF6667zuc9EhMThS+++MLrnNq2bescf/ToUeGbb74REhISPN4zKipK+P77773e86uvvhIMBoOs19mnTx/hyJEjXu83d+5c5/iJEycK+fn5wvnnn+/2ft98843zuueff955/vnnn/f6HBs3bhQ6dOjgc74XX3yxUFRU5PVeTa3h6xwxYoTs6+rq6gS1Wu28dv369T6veemll5zjhw0bFsCsiYiaJxY/IiKikGu4HPe7777Dvn370L1796Dce+HChbjtttuc/SaB+qWT/fr1Q0JCAiorK7F3717s3bsXDocDJpPJ7X0KCwsxevRo7N+/33muR48e6NOnD2JjY3H69GmsWbMGJSUlKC8vx4033ohPP/0UEyZM8DnH33//HVOnToXdbkdOTg6GDBmC+Ph4HD16FCtXroTNZkNdXR1uvPFG7NmzB+ecc47b+5w+fRpmsxkAkJ2dje7duyMjIwPR0dGorq7G/v37sW3bNgiCgJ07d+KCCy7Ajh07kJKS4nOOZrMZV111Ff744w9otVoMHToUHTp0gNlsxrZt23xe787q1atx+eWXOyveqlQqDBo0CN27d4fFYsHGjRtx+PBhAMBvv/2GYcOGYe3atUhLS/N4z4aZx+effz4sizAdPHjQmbFWqVTo16+fz2v69+/vfNzwZ5CIKGIoHRkTEVHLt3z5clF2LCUlRXj11VeFEydOBHTfbdu2CUaj0Xnffv36CRs3bnQ7tqCgQHjttdeEV155xeVrdrtdGDVqlPM+gwYNErZt2+Yyrq6uTpgxY4agUqkEAEJMTIzHrGTDjKnBYBBiYmKETz/9VHA4HKJxe/bsEbKyspxjb7/9do+vd+nSpcKsWbOEv/76y+OYI0eOCJdeeqnzflOmTPE4tmHGVKvVOjODR48edRlrMpmcj+VkTEtLS0Wvq1OnTsLWrVtdxn322WdCVFSUc9zYsWM9zlcQBNHPka9sbaAamzFdtGiR87r09HRZ1+zdu1f02k6fPt3IWRMRNU8MTImIqEmMHTvWZfmmSqUSunTpIvztb38T3nzzTWHTpk2C1WqVfc9hw4Y57zVgwAChqqqqUXP7z3/+47zPeeedJ9TW1nod3zBgmTp1qtsxDQNTlUol/PTTTx7v9/333zvHxsbG+vU9cMdisQi9e/cWAAhGo1EoLS11O65hYApA6NWrl8/XLgjyAtPnnnvOOSYpKUk4fvy4x/t9/fXXonmsWrXK49jmEJjOmTPHeV3v3r1lXVNSUiJ6bQcOHGjkrImImicWPyIioibx3//+F+PGjROdEwQBBw8exKeffoqHHnoIgwcPRmJiIsaPH48VK1Z4vd+mTZuwbt06APXLJefPn4/Y2NhGze2NN95wPn7//fcRFRXldfxTTz2FxMREAMCCBQt8Fhq68sorcdlll3n8+pgxY5CRkQEAziW5gdDpdM4lxiaTCWvXrpV13SuvvOLztcshCAL+/e9/O4+nT5+ONm3aeBw/btw4XH755c7j9957L+A5KKm6utr5WO73Uzqu4T2IiCIB95gSEVGTiI2Nxddff40ff/wRs2fPxrJly9wGdDU1NVi0aBEWLVqEq666CvPmzUNSUpLLuJ9//tn5+MILL2z0ntWCggLs2LEDANC9e3f06dPH5zVGoxFDhgzBTz/9hIqKCuzZswe9e/f2OP6GG27wej+VSoU+ffqgsLAQAHDs2DH06tXL6zXl5eXYuHEj9u7di5KSElRXV4u+nwcOHHA+3rFjB8aOHev1fklJSbjkkku8jpFr//79ztei0Whw2223+bzmjjvuwE8//QQAXvuFCs2g/XrDfcx6vV7WNQaDQXRcV1cX1DkREYU7BqZERNSkxowZgzFjxqCoqAgrV67E+vXr8ccff2D79u0uWaKlS5di+PDh2LBhA+Li4kRf27hxo/PxqFGjGj2fDRs2OB/X1dXh/vvvl3XdmaI9AJCXl+c1MPUVZAIQFSiqrKz0OO7EiRN46qmn8OWXXzoLIflSXFzsc0zfvn2h0Whk3c+Xhn04u3TpIqv40rBhw5yPCwsLcfLkSWRmZgZlPk3NaDQ6H1ssFlnXSP9bBiNzTUTUnDAwJSIiRaSlpeGGG25wZhNtNhs2btyIuXPn4j//+Q9sNhsAYO/evXjmmWfw1ltvia4/deqU83H79u0bPY+TJ086Hx89ehTvvvuu3/fw1dc0ISHB5z10Op3zccMKww1t374dF154oaw+qg1VVVX5HOOtEq6/ioqKnI/l9q1NT0+H0Wh0ZhuLi4ubbWDacEm53MyndFxjl6UTETVX3GNKRERhQavV4vzzz8fHH3+MVatWif4w//DDD13+cG8YbAXyR3xFRUWjrz3jTBDtScMWJ41lNptx3XXXOYPStLQ0PPvss1ixYgXy8vJQU1MDh8MBob6wIebOneu81tceWCC4GbqGme+YmBjZ1zUcKyeYDlcNM8QNP0Dx5szS5zOSk5ODOicionDHjCkREYWdoUOHYtq0aZg2bRqA+j17W7ZswQUXXOAc03BpbyCFYhoGQ1dddRW+/fbbRt8rlL766iscPXoUAJCVlYUtW7agdevWHscrGdg1/KCgpqZG9nUNx0qXbjcnXbp0cT4+ffo0TCaTaHmvO8ePH3c+Tk5ODmoGm4ioOWDGlIiIwpK0im1BQYHoOD093fn4TMDWGA3vI81ahZNly5Y5Hz/88MNeg1IAyM3NDfWUPGoYVDUMuLw5E8CdkZqaGvR5NZUuXbpAra7/E0sQBGdxLW+2bdvmfNytW7dQTY2IKGwxMCUiorAkzTBJq5aed955zsfLly9v9PMMHjzY+XjHjh1+ZfiaUsO9sHKKKa1evTqU0/GqX79+zscHDhxAaWmpz2vOtP4BgIyMjGa7vxSo/9lt+PPprcrwGatWrXI+Hj16dCimRUQU1hiYEhFRWNq5c6foOCcnR3TcsO/lsmXLGt37s3379s4MlcViwccff9yo+4TamQwcANTW1nod+8cff2DLli2hnpJH3bp1c/Zltdvt+Oyzz3xe0/D7HkiV5XBxzTXXOB/PmzfP69i8vDxRRrzhtUREkYKBKRERhdwbb7yB33//Xfb42tpavPzyy87j9PR09O3bVzRm0KBBzhYjgiDgtttua/Re0yeffNL5+Nlnn8Xu3btlX9tUy38bVh5eunSpx3G1tbW46667mmJKHqlUKtEcXnjhBeTn53scv3TpUvzwww/O46lTp4Z0fk1h4sSJzv3LBw8exEcffeRx7JNPPgm73Q4AGDJkCPr3798kcyQiCicMTImIKOQ2b96Miy++GAMHDsScOXO8VirdtGkTRowYIQoOn3zySVHG8Iy33nrLucR369atuOCCC7Bp0ya39y0sLMTrr7+O1157zeVrt956q3P5ZFVVFc4//3x88MEHHntQVlZW4vPPP8fIkSPxwAMPeH7hQTR27Fjn4/nz5+Of//ynM5g549ChQ7jkkkuwbds2v6rhhsLDDz+MrKwsAEBJSQkuvPBCt3stFy5ciJtvvtl5PHbsWFGRKymVSuX834wZM4I97aBp1aoVHn30Uefxgw8+iMWLF4vGWK1WPPXUU1iwYIHz3KxZs5psjkRE4YRVeYmIqMls3boVW7duxX333YcOHTqgR48eSE1NhVarRVFREXbs2OFSyGjcuHEeg7/+/fvj448/xqRJk2Cz2bB9+3acd9556NKlC/r164eEhARUVFRg37592LNnDxwOBx566CGX+2g0GixevBgXX3wxtm/fjsrKSkydOhVPPPEEhgwZgqysLGg0GpSVleHgwYPYv3+/s0XMddddF/xvlBuXXHIJLrjgAqxevRqCIODxxx/Hu+++i/79+yMhIQF//fUX1q9fD7vdjqysLDz00EN44oknmmRu7iQlJeG///0vLr/8ctTW1uLgwYPo378/Bg8ejO7du8NisWDjxo04dOiQ85pOnToptpR6zJgxon28gDgbvnXrVpesPQD8+OOPHvfDTp8+HevWrcPy5ctRV1eHm266CS+++CL69+8Pk8mE1atXi4p6zZw5EyNGjAjOCyIiamYYmBIRUchdeOGF2Lx5syjoPHz4MA4fPuzxmqioKDz99NN4+umnodV6/nU1YcIEtG7dGnfccYfz/gcPHsTBgwfdjvfU8zQlJQXr1q3Do48+io8++gg2mw2VlZX45ZdfvM7x3HPP9fj1YFu8eDHGjBnjrOB69OhRl0C+e/fu+OKLL7B58+Ymm5cnF1xwAZYtW4YJEybgyJEjEAQBGzduxMaNG13GXnTRRfjvf/+rWJuUffv2ea1kXFNT47LvGYDHrDoA6HQ6fP3117jrrruc2dLdu3e7LBXX6XSYMWOGsz0SEVEkYmBKREQhd+edd+LOO+/Enj17sGrVKmzcuBEHDhxAbm4uKioqIAgC4uLikJGRgd69e2PUqFG44YYbkJSUJOv+o0ePxsGDB7Fw4UJ8//332Lp1K06fPg2z2YyEhAR07NgRQ4YMwbhx4zB8+HCP94mKisJ7772HJ598Ep999hmWL1+OP//8EyUlJXA4HEhISED79u3Rp08fXHjhhbjssssQHx8frG+TT+np6Vi/fj0++ugjLFy4EHv27EFtbS1atWqFLl264KabbsKECRMQHR0dFoEpUF89ef/+/fjss8+wZMkS7NixA6dPn4ZOp0NGRgbOP/983HzzzbjkkkuUnmpIJCQkYNGiRbjzzjsxf/58bNiwAQUFBdDpdGjTpg0uvfRSTJkyhS1iiCjiqQRBEJSeBBEREREREUUuFj8iIiIiIiIiRTEwJSIiIiIiIkUxMCUiIiIiIiJFMTAlIiIiIiIiRTEwJSIiIiIiIkUxMCUiIiIiIiJFMTAlIiIiIiIiRTEwJSIiIiIiIkUxMCUiIiIiIiJFMTAlIiIiIiIiRTEwJSIiIiIiIkUxMCUiohZh3rx5UKlUUKlUmDRpktLTIWpyx44dc/4baNeundLTISLyCwNTImqRDh48iH/961+44oor0LVrV6SkpECv1yMlJQVdu3bF+PHj8dZbb6GgoEDpqRIRRYyRI0c6g+cZM2Z4HHdmjLv/xcbGIjMzE926dcOll16KadOm4auvvkJlZWXTvRCZCgsLMXPmTAwbNgytWrWCXq9HRkYGzjvvPLz88svIz89XeopEYYOBKRG1KPv378f111+Pbt264dFHH8WPP/6IgwcPorS0FFarFaWlpTh48CAWLVqEhx56CG3atMG1116LAwcOKD31RmOmkOSYMWOGrIAgXDS3+VLTqampQUFBAQ4cOIBff/0Vs2bNwvXXX4/MzEzccccd2Ldvn9JTBAC88cYbOOecczBjxgysX78eRUVFsFqtOHXqFDZt2oRnnnkG3bp1wyeffKL0VInCglbpCRARBcvChQtx++23w2QyOc9pNBqce+65yMnJQXJyMsrKypCfn4+tW7fCYrHAbrfjm2++wXfffYfc3FxkZmYq+AqIiEjqmmuuQVZWlvPYZrOhrKwMJSUl2L59O0pLSwHUB6wff/wxPvvsM7z88st45JFHoFKpFJnz3//+d7z++uvO49jYWIwYMQKZmZkoLS3FqlWrUFxcjKqqKkyZMgUWiwVTp05VZK5E4YKBKRG1CO+99x7uvfde53FKSgqeeeYZTJo0CUlJSS7jq6qq8OOPP+Kll17C7t27YbPZYLFYmnLKFGSTJk1ixpioBXrooYcwcuRIj1/ft28f3n//fXzyySeoqamB2WzGY489hiNHjuCdd95puon+z9KlS0VB6YQJE/DOO+8gMTHRec5sNmPmzJmYNWsWAOD+++/HoEGD0L9//6aeLlHY4FJeImr2Nm7ciIceesh53LdvX+zZswePPPKI26AUAOLi4nDTTTdhx44d+OCDD2A0GptqukREFETdu3fHW2+9hR07dqBXr17O8++++y7ee++9Jp/Ps88+63x86aWX4tNPPxUFpQBgMBjw8ssv48EHHwQA2O12PPnkk005TaKww8CUiJo1h8OBiRMnwmq1AgCysrKwfPlyZGRkyLperVbjrrvuwrp16xAXFxfKqRIRUQh17NgRK1asQJs2bZznpk2b1qRFkQ4cOIDdu3c7j2fNmuV1OfGMGTMQFRUFAPj999/DZn8skRIYmBJRs/b111/jzz//dB6/9957HrOk3vTv3x8pKSlex/zyyy+YPHkyOnfujPj4eERFRaFt27YYN24c5s2b5wyOvZk0aZKzoMu8efMAALW1tZgzZw7OP/98pKenw2AwoE2bNrj55puxbt06n/e6/fbbnefmz5/vtoqlu2VwVqsVv/zyC5544gmMGjUKmZmZMBqNiIqKQnZ2Ni6//HLMnj0b1dXVPl+XpzYVa9aswd/+9jd07NgR0dHRSEhIwMiRI/Hf//4XgiC43GfFihW44YYb0KlTJ0RFRaFVq1a44oor8NNPP/mcg5wiUCtXrnT7PVm+fDnGjx+P9u3bw2g0IiUlBRdccAHeeecdWf9dgfrCW//6179w7bXXokuXLoiLi4NOp0NaWhoGDBiARx55RPYfnQ0rl65cuRIAUFpaildeeQUDBw5EamoqoqKi0L59e0yZMgV79uzxea+ZM2c6z82cOdPtz0mgS6Fzc3Px3nvv4eabb0bPnj2RkJAAnU6HlJQU9OrVC/fccw82btwo67WHer4N73PGwYMH8fDDD6Nbt26IjY1FfHw8+vTpg6effhrFxcV+3X/v3r34+9//jn79+iE1NRUGgwGZmZkYOXIkXnnlFZSUlPh1v4KCAjzzzDPo3bs34uPjER8fjx49euCRRx7BwYMH/bpXQ3l5efjHP/6B4cOHIzMzEwaDAcnJyejXrx8ef/xx0ftrc5CSkoKPP/7YeVxeXo533323yZ5/06ZNzscZGRno16+f1/FJSUkYOnSo8/irr74K2dyIwp5ARNSMjR49WgAgABA6d+4sOByOoD/HqVOnhAsvvND5PJ7+16lTJ2HLli1e7zVx4kTn+Llz5wp79+4VunXr5vW+zz33nM97+frfiBEjRNceP35cSElJkXVtSkqK8Ouvv3p9XUePHnWOb9u2rWCz2YSHH37Y631vv/1253+vmpoa4eqrr/Y6/u9//7vXOcydO9c5duLEiW7HrFixQvQ9MZvNwp133un1efv37y8UFRV5fe4bbrhB1vdSpVIJDz/8sGCz2bzeb8SIEc5rVqxYIaxdu1bIysryeF+NRiP8+9//9nkvX//z9H2T4/HHHxdUKpWs5xk/frxQU1Oj6Hwb3kcQBOG9994TDAaD138Hvv59C4IgWK1W4YEHHhA0Go3XuScmJgrz5s2TNdevv/5aSExM9Hgvg8EgfPjhhy7/Dr2x2+3C9OnTBaPR6HWeWq1WmDZtWtDeWxv+933++ec9jms4hxUrVvj9PL169XJe37t378ZP2E+vvPKK83kHDx4s65rJkyd7fK8miiQsfkREzZbZbMb69eudx+PHjw96BcZTp05h2LBhOHz4sPNchw4dMHjwYBgMBuzbt8/5Cflff/2FUaNG4eeff8awYcN83vvkyZO46KKLUFBQgMTERAwfPhwZGRkoLi7G8uXLUVFRAQB44YUX0L17d9x0002i6y+66CLExsbiwIEDWLZsGQCga9euuPDCC12eq1OnTqLjmpoaZ8YmKSkJPXr0QNu2bREbGwuLxYKjR49i48aNMJlMKCkpwZgxY7Bq1SrRJ/vePPvss5g9ezbUajUGDhyI7t27w2azYc2aNTh27BgAYO7cuejUqROefPJJXH/99fjpp5+g1WoxbNgwdOzYEbW1tVixYgUKCwsBAK+99hr69++P8ePHy5qDHHfddRfmz58PtVqNwYMHo2vXrnA4HNi4caMzC7Vt2zbcdttt+PHHHz3e5/jx4wAArVaL7t27o1OnTkhMTIRGo8Hp06exZcsW5OfnQxAEzJ49G2azGXPmzJE1xz179uDpp59GdXU1WrVqheHDhyMlJQX5+flYvnw56urqYLfbMXXqVPTq1QvnnXee6Ppx48ahZ8+e2Lx5M7Zs2QIAGDhwIAYNGuTyXNJr/ZGXlwdBEKBSqdClSxd06dIFKSkp0Ol0zuqpZ/4dLVy4EJWVlfj+++9d/s021XwbmjdvHu655x4AQJcuXTBgwABERUXhwIEDWLduHQRBQElJCa666irs378fCQkJbu/jcDhw3XXXYenSpc5zycnJGDlyJJKTk5GXl4cVK1bAYrGgvLwckyZNQnl5uWiPvNQPP/yAG2+8ETabDUD99oNhw4ahc+fOqK6uxurVq1FQUIA777wTb731lqzXa7fbcdNNN4myc1lZWRg0aBDS0tJQXV2NTZs24fDhw7DZbHj55ZdRVFSEf//737LuHw5uuOEG55LaPXv2oLy83GWfJ1C/8mT+/PkAgLZt2zrfnxpLcLMSxB979+4N6HqiZk3ZuJiIqPHWrFkj+lT9hx9+CPpzXH755c77x8TECAsWLHAZs2XLFqF9+/bOcW3atBHKysrc3q9hlvNMdubJJ590yR6VlJSIssHt27f3mLGQkymUOnbsmPDAAw8ImzZtEux2u9sxFRUVwmOPPea8d+fOnT2ObZip0el0gkqlErp27Sps375dNM5qtYoyqUlJScLMmTMFAML5558vHDlyRDS+trZWuPHGG4P2fWiYMT3z/R84cKCwf/9+0TiHwyHMnj1b9PO1atUqt/cUBEF46qmnhMWLFwsVFRVuv+5wOISlS5cKaWlpzvutWbPG4/0aZpUMBoOg0WiEf/7zn4LVahWNO378uNCzZ0/n2FGjRnm85/PPPy8rU9VYr776qjB37lyv2eXVq1cLHTt2dM7j008/VWy+Df/bGgwGIS0tTfjpp59cxq1atUqIj493jp05c6bHezbMlgEQnnrqKcFsNovGFBQUCJdccokoI7lx40a39ysuLhZatWrlHNurVy9h3759ojF2u1145ZVXBJVKJej1elkZ0+nTpzvHZWRkCF999ZXbf1eLFy8WEhISnGMXLVrk8Z5yNVXG9JdffhHd45dffnE7ruF7sq8ssxwff/yx836tW7eWdc1FF10kmquvFRpELRUDUyJqtj799FPRL/Njx44F9f7Lly8X3f/777/3OPbo0aOiP+A8/fEqXX779NNPe7xnYWGhEBMT4xzr6Y/XxgSm/pg6darz/j/++KPbMQ0DUwBCWlqaUFBQ4HaszWYTunTpIhrfrVs3oba21u34yspKITk52Tl206ZNbsf5G5gC9cuvq6qqPL7266+/3jl26tSpHsfJtXHjRuf9brzxRo/jpMtZP/jgA49jd+/e7VxCq1KphJMnT7odF+pAT66jR486l48OGjTI47imDkx37tzpcew777zjHNu1a1e3YyoqKoTY2FjnuMcff9zj/UwmkzBw4ECfHyhMmzbNOSY9PV04deqUx3u++OKLotfkKcg6evSoc5lxcnKycOjQIY/3FATx+2C3bt0CXtLbVIHpsWPHRPf4z3/+43ZcsAPTHTt2iJ7X28+VIAhCeXm5EB0dLbrm4MGDAc+DqDli8SMiarbONFU/w90yrUB88MEHzsdXXXUVrrjiCo9j27Vrh2nTpjmP33//fZ9LutLS0vDcc895/Hp6erroOTdv3ixn2kHXsLjS77//LuuaadOmeayMrNFocOONN4rOzZo1y1mZUiouLi5k34f/+7//Q2xsrMevT548OajPO3jwYHTr1g0AnMuvfenVqxfuuusuj1/v2bMnBg4cCAAQBAFbt24NeJ6h1K5dO4waNQoAsGXLliatmOrJXXfdhd69e3v8+m233Qattn7308GDB93O+b///a+zUFh6ejpeeOEFj/czGAyi/porVqxwKWAkCAI++eQT5/Fzzz2HVq1aebznE088gbZt23r8+hlvvvkm7Ha7854dOnTwOn7UqFG49NJLAdQX+Nq+fbvP5wgH0uXWZWVlTfK8vXv3xjnnnOM8fuaZZ7yOf/HFF1FbWys6V1VVFZK5EYU77jElomZL+svbW4DRGCtWrHA+bhigeHL77bfj6aefhsPhQEFBAQ4ePIiuXbt6HD927Fif/VP79euHxYsXA0DAe588sVqt2LRpE3bu3InCwkJUVVU597MB4u/zjh07ZN3z+uuv9/r1hr0Go6KiMGbMGK/je/bs6Xx89OhRWXPwxWg0YuzYsV7HNKyoKff7/+eff2Lr1q04fPgwKioqYDabRR9SnNk7XFJSgry8PFFrC3duuOEGn8/Zr18/Z+Acqp8Tfxw/fhybN2/Gn3/+ifLyctTV1Ym+B2f+GwqCgJ07d2L48OFKTRWA7+9xXFwcOnTogIMHD0IQBOTm5op+hoH6ys5n3HzzzR4/aDlj0KBB6NWrl3Mf5IoVK9ClSxfn1/fv3+/cX63VanHLLbd4vZ9Op8Mtt9yCWbNmeR3XcK+0r3ueMXr0aPzyyy8AgLVr16J///6yrlOS9PeBp2Bv3rx5zgrpwaBSqTBt2jTceeedAIDvv/8et99+O2bPni0Kli0WC15++WW8/vrrLveoq6sL2nyImhMGpkTUbEn7jlZXV3ssSuKv/Px8nD592nksp+hPWloaOnfujAMHDgCoL5rjLTCV/mHrTsMWNsHOLNXV1eHll1/G+++/L7sVhpxxCQkJyM7O9jqmYUufzp07Q6fTeR2fnJzsfBys70OXLl18Pq8/3/8ffvgB06dP9yujVFxc7DMwVfrnxB8bNmzAU089hTVr1sguAuNvG5ZQCMb3uOF/d7lFwoYNG+YMTLdt2+bxfl27dpW1ImTIkCFev15SUuJs/6LX60Utebxp2OYoLy9P1jVKkwai8fHxTfbcd9xxB3755Rd8+eWXAOqD36+++gojR45E69atUVpaitWrVzt/x1x77bX4+uuvndezpzZFKgamRNRsNQxWgPp+dcEKTIuKipyPo6KikJaWJuu6du3aOQNTX39wy5lrw8BJbj9NOcrKyjB69GjZGdAz5Cwxk/O6ziyLbMz4YH0f/P3+N8wiS82YMUP2H/kNBev7GaqfE3988sknuOOOO/yuShoOyxaD8T1u+J4hZ0ktAFHPX+n7RcP75eTkyLqfr3EFBQXOxxaLpVH9PZtqSWygzqxMOEP6+yLU/vvf/yIjIwPvvvsuBEFAVVUVvvvuO9EYlUqFRx99FOPHjxcFpsHelkLUXHCPKRE1Ww3/qAPEn+oH6sxeMQCIiYmRfV3Dsb7+4A52axt/3Hfffc6gVK/X44477sC3336LP//807mUV6gvkCdaOutwOHze29/XpdT3IVjP+9tvv4mC0iFDhuDf//43tm/fjuLiYphMJuf3UhAEjBgxwjk2FN9PJezbtw933323Myjt0aMH3nzzTWzevBmnTp1yLuU987+JEyc6r5XzPQi1YHyPG/Oe4e39ouH9oqOj/b6fO9JgrTG8fUATTs58QHiGpz3voaLT6fD2229j165deOCBB9CrVy8kJCTAYDDgnHPOwaRJk7Bhwwa8/vrronoJOp0O6enpTTpXonDBjCkRNVsDBw6EwWCA2WwGAGzatAmXX355UO7dcH9STU2N7Osajg3X5Vj5+flYuHAhgPqeiD///LOzGI074ZDRCmevvfaa8/HkyZPx0UcfeQ10WuL3c/bs2c6A5dJLL8XSpUuh1+s9jm+J34PY2Fhn4Cf3PcPb+0XD9yBpcRw593OnYeAaHx8flEA1XJ3pLw3UF1w7UyCsqfXs2dNnf9mGvUt79erls/YAUUvFjCkRNVsGg0G0l+tMsBUMDZfu1tXVyd4H17DwTGpqatDmE0zLly93ZrYuv/xyr0EpAOTm5jbFtJolu92OVatWAagP8mfNmuUz+3b8+PGmmFqTalhh+MUXX/QalAIt82eq4XuG3P/G3t4vGnM/X/s/G2biKisrZQe8zdGZ/Z0A0KdPnybdY+qv9evXOx/L3Z9M1BIxMCWiZu2ee+5xPj548CC+//77oNw3KytL1Jqh4R8OnhQXFzsLiwBossqV/i5DPHnypPOxnKIvq1ev9ntOkaK4uBgWiwUA0KpVK6/tPID6Ja9KFfsJ5ZJgf36mKioqsGvXLp/3bA5LmBtqWMFZzvuFdJz0/aLh/Q4cOCAru7lhwwavX2/durWo2JbceTY3v/76K/bs2eM8Hj9+vIKz8a66ulpUKflvf/ubgrMhUhYDUyJq1q677jp06tTJeXzPPfegvLzc7/ts27YNJSUlonMNM4ly2gnMmzfPuV8uMzNT1PohlBou+5JT+EatPvvW7ytjUltbi//85z+Nn1wL1/B7KafFw3vvvRfK6Xjl78+JP/z5mfroo49kPX8o5xsKo0ePdj5euHAhTCaT1/Fbt24VBejSlQtdu3Z17ou02WxYsGCB1/vJGQMAV155pfPxnDlzfI5vbkpKSnDHHXc4j1NSUkQfYIabWbNmOf/N9O/fH4MGDVJ4RkTKYWBKRM2aWq3GvHnznFVbT5w4gQsvvFDU6sUbQRDw4YcfYtiwYS773u6++27n42+++cbZx8+d3NxcvPTSS6Jrmyrj07CNRX5+vs/x7du3dz7+8ccfYbfbPY597LHHcOrUqcAm2IKlpKQ4K7pWVFQ4l/W6s27dOkUDU39/TvzR8Gdq6dKlHsf99ddfsqsXh3K+oXDLLbc494UWFBR4fZ0WiwUPPPCA83jUqFEuH2Sp1WpR/+SZM2eKKvVKvf7667J6/D722GPQaDQA6t/X/Onheaavarg6dOgQRo8eLVrS/Oqrrwa9x3Ww/Prrr84+pmq12udeVKKWjoEpETV7Q4cOxb/+9S/n8bZt29CzZ0+8+eabHrOn1dXVWLRoEfr27Yu77rrLbXZj1KhRomJK119/Pb744guXcX/88Qcuuugi53O1adMGDz74YGAvyg89e/Z0Pt60aZPP/WijR492Vvk8dOgQJk6c6PJ9qqysxF133YX333/fr6rEkUatVmPMmDHO40mTJmHz5s0u4xYvXowxY8bAbrcr9v1s+HPy66+/BrXwzdixY52PH330Ubcf4ixbtgwjR45EVVWVrO9BKOcbCvHx8Zg+fbrz+P/+7/8wffp051LvM06dOoWrr74aGzduBFDfCmnWrFlu7/nII484954WFhbi4osvdqk263A48M9//hPPPPOMz729ANChQwc8++yzzuPJkyfj8ccf97jE3Gaz4ddff8Xf/vY30fLicLJ//3489NBD6Nu3rygL/eijj4qCe3cmTZoElUoFlUrlUuk9ELfeeiuWL1/u9oO/uro6vPLKK7j66qudPx+PPvoohg0bFrTnJ2qOWJWXiFqE+++/H0lJSZgyZQrMZjOKiorw8MMP47HHHsOAAQOQk5ODpKQklJeXIz8/H1u2bBH9wajX62EwGFzuO3fuXAwbNgyHDx9GdXU1brzxRnTq1AmDBw+GXq/Hvn37sGnTJmcxoZiYGCxYsKBJ+9BlZGRg6NChWL9+PUwmE/r06YPLLrsMrVu3di6x7NChg3M5W1JSEh5//HG88MILAIDPP/8cP/30EwYPHoysrCwUFBRg5cqVqKmpgVarxZw5c0TtPUjs2WefxZIlS1BXV4djx47hvPPOw5AhQ9C5c2dYLBZs2LDBmcm688478eeff3rNrIbKoEGD0KZNG+Tl5aGgoABdu3bFJZdcgtTUVGd2f+DAgbjpppv8vvfDDz+Mjz76CEVFRSgtLcVll12G/v37o3v37lCpVNi2bZuz8uill16KVq1a4dNPP1VsvqHy+OOPY+3atc5+lS+++CLee+89jBo1CklJScjLy8OKFSuclcSB+qrOgwcPdnu/1NRUfPzxx7j22mtht9uxc+dO9OjRA+effz46d+6M6upqrF692rnH97XXXsNDDz3kc57PP/88jh07hvnz50MQBPzzn//E22+/jQEDBqBDhw6Ijo5GZWUljh07hl27djmr/TbMYjelN998U1TMyGazoby8HCUlJdi+fbvLNoyoqCi88soruP/++5t6qk5ffvklPv/8cyQnJ+Pcc8917u3Nz8/HmjVrREve77jjDrz66qtKTZUofAhERC3Inj17hHHjxgkAZP1Pp9MJt9xyi3D48GGP9ywsLBRGjx7t814dO3YUNm/e7HV+EydOdI6fO3euz9czd+5c5/iJEyd6HLdlyxYhLi7O49xGjBghGm+z2YTbbrvN6+tJTEwUvvnmG+Ho0aPOc23btnX7/HLGNLRixQqPc2vs90HOGH+fVxAE0ffEkyVLlgjR0dFev5933XWXYDKZhBEjRjjPrVixwu395Ixp6Pnnn3eOf/755z2O++677wS9Xu9xjt5+xnxZv369kJqa6vV7cM011wjl5eWy/x2Ecr5y/rs2JPe/idVqFe6//35Bo9F4/V4kJCTIeg8QBEH44osvhISEBI/3MhgMwgcffOD3v8O33npLSEpKkvVeqVKphKuuukrWfL1p+H309rMq9z284f9iY2OFO++8Uzhw4IDs+TT8WZTzPZPLYDD4nG9CQoLwzjvvCA6HI2jPS9ScMWNKRC1Kjx498PXXX+PAgQP44Ycf8Pvvv+Pw4cMoLi5GVVUV4uPjkZ6ejn79+mH48OG44YYbfGYB0tPTsWzZMvz8889YtGgR1q5di8LCQlitVrRq1Qr9+vXDNddcg1tvvRU6na6JXqnYgAEDsGvXLrz99ttYsWIFjhw5gurqao/7RzUaDebPn48bbrgB//73v7Fp0yaUlZUhKSkJOTk5uPrqqzF58mRkZmaKWlqQe1dffTX27NmDN954A7/++iuOHz8OrVaLzMxMDBs2DJMmTcIFF1yg9DRx5ZVXYuvWrXj33Xexdu1aHD9+HNXV1c6MfyCGDBmCvXv3Yvbs2fjuu+9w5MgRAPWVYM8991zceuutoiW/Ss83VLRaLd5++21MnToVn3zyCZYtW4a8vDxUVVUhOTkZnTt3xpgxY3DnnXfKzkBef/31GDp0KN5++2189913yM3NhUqlQnZ2Ni666CLcc8896Natm9//Vh944AFMmjQJn376KX777Tfs3LkTRUVFMJlMiIuLQ3Z2Nnr06IGRI0dizJgxooq+SoqKikJCQgLi4+PRtm1bnHvuuRg4cCAuvvjisOkfvXr1avz+++9YuXIljh49itOnT8NisSA9PR2dOnXC1VdfjZtuuknUFogo0qmEcH53JyIiIiIiohaPxY+IiIiIiIhIUQxMiYiIiIiISFEMTImIiIiIiEhRDEyJiIiIiIhIUQxMiYiIiIiISFEMTImIiIiIiEhRDEyJiIiIiIhIUQxMiYiIiIiISFEMTImIiIiIiEhRDEyJiIiIiIhIUQxMiYiIiIiISFEMTImIiIiIiEhRDEyJiIiIiIhIUQxMiYiIiIiISFEMTImIiIiIiEhRDEyJiIiIiIhIUQxMiYiIiIiISFEMTImIiIiIiEhRDEyJiIiIiIhIUQxMiYiIiIiISFEMTImIiIiIiEhRWqUnQM1beXk5Vq1a5Txu06YNDAaDgjMiIiIiIiKz2Yy8vDzn8YgRI5CYmKjchHxgYEoBWbVqFa655hqlp0FERERERF4sWbIEV199tdLT8IhLeYmIiIiIiEhRDEyJiIiIiIhIUVzKSwFp06aN6HjJkiXo2LGjQrMhIiIiIiIAOHTokGjLnfTv9nDDwJQCIi101LFjR/To0UOh2RARERERkTvhXqCUS3mJiIiIiIhIUQxMiYiIiIiISFEMTImIiIiIiEhRDEyJiIiIiIhIUQxMiYiIiIiISFEMTImIiIiIiEhRDEyJiIiIiIhIUQxMiYiIiIiISFEMTImIiIiIiEhRDEyJiIiIiIhIUVqlJ0BEREREFO4EQYDD4YAgCEpPhVoglUoFtVoNlUql9FQUw8A0iCorK7F9+3Zs3boVW7duxR9//IFDhw4538COHj2Kdu3ayb7fH3/8gffffx8rVqzAyZMnERUVhfbt22PcuHG47777kJCQEKJXQkRERESCIKC6uhrl5eWoqalhUEohZzQaERcXh/j4eOj1eqWn06QYmAbRiBEjsGPHjqDc6x//+AdmzpwJu93uPFdXV4fS0lJs3boV7733Hr766isMGjQoKM9HRERERGeZTCYcP35c9LcYUaiZTCaYTCYUFRUhLi4OmZmZUKsjY/dlZLzKJtLwU7SEhASMHDkSGRkZft/nrbfewnPPPQe73Y7WrVvjrbfewsaNG/H777/j7rvvhkqlwokTJ3DFFVfgyJEjwXwJRERERBHParUiLy+PQSkpqqqqCvn5+XA4HEpPpUkwYxpEkydPRlpaGgYMGICOHTtCpVJh5MiRKCwslH2PkydP4umnnwYAtGrVCps2bUKbNm2cX7/wwgvRr18/TJ06FcXFxXjsscfwzTffBP21EBEREUUiQRBw4sQJ2Gw2padChOrqapw8eRLZ2dlKTyXkGJgG0YMPPhjwPWbPno3a2loAwMsvvywKSs+4++678dlnn2Ht2rVYsmQJ9u/fj27dugX83ERERESRrra2FiaTSXTOYDAgOTkZ0dHREbOskpqWIAiwWCyorKxEZWWlKEtaVVUFi8XS4vecMjANM19++SUAIDo6GrfccovHcXfccQfWrl0LAPjiiy/w3HPPNcn8iIiIiFqy6upq0bFOp0NOTg60Wv7ZTKGl0+kQExODhIQE5OXluQSnKSkpCs4u9PiRTxjJy8vD0aNHAQBDhgxBVFSUx7GjR492Pl61alXI50ZEREQUCWpqakTHCQkJDEqpSUVHRyM+Pl50rrKyUqHZNB3+Kwsje/fudT7u3r2717Ft2rRBbGwsqqursW/fvqA8/+nTp1FUVOTXNYcOHQrKcxM1F8XlxzH7X5ejMu844GfbAJuQCAcMAPzoUSYIMJTaoDLZ/H26RrNGAeY4QPD3o0uVAEHjAJspBI/aIUBrEaASAMj9zv5vWOR2wiMKhArX3PYmAKBV6/bQaLSoLDuB2sp8hedFzZlNF4sOOR39uiY+Ph7l5eXOY5PJBEEQWnSfUwamYSQ3N9f5OCcnx+f4Nm3aYP/+/SgsLAzKuvM5c+Zg5syZAd2DqKV7c/YVqNyxv1HXalHbqOsENSBEN+rSRtEC0Nb4HEZE1OJodVFQCfVFj+r3kgrQwP6/D4eIGsv/qro6nc71Lg4HNBpNMCYUlriUN4xUVVU5H8fGxvocHxcX5/ZaIgqdityjSk+BiIhCRK05m7NxZqZaboKKwpi7IltCUy2dUggD0zBSV1fnfCwn+2kwGNxeS0ShI9jY046IiIgo2LiUN4w0LHZksVh8jjebzW6vbax7770XN9xwg1/XHDp0CNdcc03Az03UbEgC0zYXXoi27Qf4vGxZQQ5KzGfX47aPLUN6lO+lvaWvnIbpdKnzOCorBcbecV6uCMyutjU4kn72vSWtUot2p40+rytPOIaTmVudx3pLDFqd7uXzOrvFipqKswUdVCo1ouKacN1yuLIJ0JaIf9YcMWr3+35VHh4zzRMwAYC9vApCg36WKrUampjAf+dSeDLojbDpEwEAgqp+yaRVFwO1mv+eqPGijKH7vd2SMDANIw2X5kpLlbvTcEzDaxurVatWaNWqVcD3IWrR7OJ9Iv0GXIuLht7j87I1aytRXXk20Li4dzQuzjZ4uaLey09+DmtBwdnnu2I4rvtgsB8T9s/EPcuQX5LnPL4xpw+eOKefz+vmFr6Ct/IXO4+HxF+COZ0+83ndql+3Yc7/feE8zmmfgddmP+TnrFuehT//hi9+Xe48TklMwPvPPsH+iU1s15bNeOlh8c/jnU88iYuuvkaZCVHI2Ww2/PXXX6Jz52S3Z1VeoibA33BhpGHBo+PHj/scn5dX/8djenp6i2+4SxQ27OL9HUaD7/3gAGBxiK/Ty/z03VpnFR1HJYX23/oJk/hDsWxjjKzrSqyFouMUbYas60qLxeXvk1L4qbIgCFi/Y7fo3JA+PRmUNjFBEPDFxx+JzqVlZGDkmCsUmhERUcvG33JhpEePHs7HvlrA5OXlOQseNbyOiEJMEpga9PICN4ukIJ9eZlE9m1m8rD862XeWNRD5ZnE53myjvMC72HpKdJyqS5d1XVlRheg4OTVB1nUt2fGCU8g/LW7dNbSP72XRFFy7t2zBn7vFHxCMmzgJWjeVMomIKHAMTMNITk4O2rVrBwDYuHEjTCaTx7ErVqxwPh4xYkSop0ZEACxWk0vLAKNBXobPKsmY6mRmTO2S/ebRqaHLmFbZLKiwiZ8vW2ZG2CVjqmtcxjQ5Nd7DyMixfucu0XFqYgI65bRRaDaRqT5b+qHoXFpGBkZcPkahGRERtXwMTMPM9ddfDwCoqanB559/7nHchx+e/YV55hoiCq06U4XLOYNBXsbUKsmY6mS8+zpsAuxW8VLe2LTQFV05YXJtXppplFeIqMQWnMA0KcIDU0EQsH7nHtG5IX16cRlvE9u1eTP+3CP+7zBu4u3MlhIRhRB/04WZhx9+2Flhd9q0aThx4oTLmA8++ABr164FAFx11VXo3r17k86RKFKZLK5FyaIM8gIpi93/Paa1ZTYIDnFl1phWoVvKe8Isfn1pOiOMankFP0pclvIyY9oYuQWFOMllvIpyu7e0dWuMGMNsKVFzYbfbsWvXLnz88ce45557MGDAAOj1eqhUKqhUKowcObLR9162bBluu+02dO7cGTExMUhOTkbv3r3x97//HQcOHAjei4hALDEWRIcOHXIGjGcUFp7NInz55ZdITU11HsfGxrpkO7OysvDSSy/h0UcfxenTpzFo0CBMmzYNgwYNQnV1Nb744gt88MEHAIDk5GS88cYbIXxFRNSQu4ypUS+3+JH4WM4e0+pTZpdzcemhC0zzTY3bX2pxmFFpLxOdk1P8yG63o7ysSnQu0veYSosepSYlolNbLuNtSjs3b8Jfe8XZ0msnTmJVVqJmYsmSJZgwYQJqa323ZPNHZWUl7rrrLixatEh0vra2FmVlZdi9ezfefPNNzJw5E08//XRQnztS8F02iNauXYvbb7/d49f//ve/i47btm3rdhnuI488gvLycrz44osoKCjAAw884DImMzMTX331FTp06BD4xIlIFpPZdalrtNF3hs/uEKQ1k2RlTKtPuwamMalNlzGVG5iW2E65nJOTMa0orYYg2XsbyRnT+mW84v2lQ/v0gkrF/olNRRAEfPGROFvaKjMTF3BvKVGzUV5eHvSg1Gq1Yty4cVi+/Gwbr549e6J///4wmUxYs2YNCgoKYLVaMW3aNFitVjz33HNBnUMk4FLeMDVz5kxs2rQJkydPxjnnnAOj0YjExESce+65ePHFF7F3716cd955Sk+TKKKYLFUu5wwylvJK95cC8vaY1px2LYCmjwndHjdpq5gsmftnpYWPdCo94jSJPq+TLuPVaDWIS5C3p7Ulyj1ZiIKiEtE5LuNtWjs3bcShfXtF55gtJWqe0tPTceWVV2LmzJn48ccf8dBDje+R/Y9//MMZlBqNRixYsAC7d+/G/PnzsWjRIhw7dkyUgJoxYwZWrVoV8GuINHynDaJJkyZh0qRJQbvfgAED8PHHHwftfkQUGLMkYyqoAa3G99uotIcpAOg1vrNgNSXijKnmf/tjQkVa/Eh+qxjXwkdy5umyvzQlLqKL/KyTZEvTkhLRMSdbodlEHnd7S9MzszD8sssVmhERNcZll12G3Nxc5OTkiM5v2rSpUfc7ffq0aOvc7NmzMX78eNEYvV6PV199FcePH8eiRYsgCAKefvpprF+/vlHPGaki9y8AIiI/uRQ/khFcAq77SwFAL+Pdt1YSmGr1oa0I6rKUt5EZ0xStvB6mpcXiPbtJEby/VBAEl/2lQ7iMt0nt2LABhyQ9xMdNYraUqLnJyMhwCUoDMX/+fNTU1H9w27lzZ9x1110ex7766qvOD1g3bNiA7du3B20ekYCBKRGRTBbpHlONvLdQaUVeQGZV3lJxT1FdVOh6mJoddpyy1InOBZIxlYMVec86drIAhcXiZbzD+nIZb1MRBAFffCLJlmZl4YJLL1NoRkQULpYsWeJ8PGnSJK8fGObk5GD06NHO42+++SaUU2txGJgSEclktjQyMG3kHtO6cnHGNJSBaYGbwk7ZRpkZU0kP01SdvIxpWQkD0zOk2dJWyUno0IbLeJvK9g3rcXj/ftG5ayfeDg2zpUQRzWQyYePGjc5jOW1mRo0a5XzcsFgS+cbAlIhIJmlgqtLKewu1SvaY6tSQtUTTVCEOTPUxoQtMpftLYzU6xGvkPZ+0h2ljM6ZJKZEZmNYv4xXvL+Uy3qZTv7dUXM8hPSsLwy+9VKEZEVG4OHjwIByO+k+XVSoV+vXr5/Oa/v37Ox/vl3zgRd4xMCUikslqkVTJ1choRgrXqrxysqUAYK4UL+UNaWDq0iomRnZgJA1MU2X0MAXcLOVNi8zA9Gj+SRSWlIrODeUy3iazbf06HDkg/uPxuknMlhJRfWB6RqtWrWA0Gn1e03B/a2lpKYqKikIyt5aI77pERDJZzOK+aCqdvLdQ6R5TOftLAcBcLQ5MDfEh7GFqkhY+kre/FHBT/EhmxrSMe0wBeFjGm52l0GwiiyAI+FKSLc3Izsb5lzBbSvI5BAeqLWVKTyNsxeqToFY1z1xYScnZvf/p6fK2qWRkiH8HlpaWIi0tLajzaqkYmBIRyWSxiosDqWVmTKV7TOUGppYacWBqjA9dxjTf3LhWMYIgoNjmf2BaV2tGXa14qXIkBqaCIGD9TnFgOrRvby7jbSLb1q3FkYMHROeuZbaU/FRtKcOdv/VRehph68OLdyLekKL0NBqluvrsh7ZRUVGyrpGOa3gP8q55fnxBRKQAq6RqrVrmH6/SPqY6efEsLLWSwDSh6faYym0VU+uohskhziSnyghMpa1iACA5AtvFHDlxEqeky3j7cBlvU6ivxCvOlrZu0wbnX3yJQjMionBjMp3dwqPXy/sdbDCIVzfV1dV5GElSDEyJiGSyWsV7TNU6eX1FrXbxsdyMqc0kDkyjk5tuKW+WzIq80lYxgLw+ptL9pTFxUdAbQtunNRxJs6XpKclon52p0Gwiyx9r1+Jog/1jALOlRCTWcE+pxWLxMvIss1m8GkhuppUYmBIRyWaTFD9qbMZUL/Od12a2io5DFZg6BAEnpUt5Ze4xle4vjVbHIkrjO6hlD1P31XiHshpvk3DXt7R1mxwMu+hihWZEROEoNvbs70K5mU/puIb3IO/4sSARkUw2m/hTUI1O3rIel8BU4zvwsFsF2CWfzkanhCYwLbLUwSKIN8LK3WMq7WHa2FYxkRiYHj6Rj9Ol4oIprMbbNLauXYNjf/4pOnfd7cyWUuPE6pPw4cU7lZ5G2IrVJyk9hUZLSTm7N/bUqVNeRp5VWCj+vZicnBzUObVkfAcmIpLJahUHpmqtvKWnFslSXjntYizVAhw2ccY0plVoAlNpqxidSo1WenlLj6RLeeXsLwWAsiLxHtNI3F8qrcabkZKMc7K4jDfU6ivxMltKwaNWqZttcR/yrkuXLs7Hp0+fhslk8tky5vjx487HycnJrMjrBy7lJSKSyS4JTLUyM6ZWl6W8vjOmlhoBdrs4MI1NC1FgKil8lGmIgVp2D1NJxrSxPUwjLGMqCAI2sBqvIrauWY1jf/0lOnfd7ZNlV9kmosjRpUsXqNX14ZIgCNixY4fPa7Zt2+Z83K1bt1BNrUViYEpEJJPNKl5aq9HKXcorPtbL+PvXVG6DYLeJzoVqj6lLD1OZhY8AoMQqXtqUopPX500amCZFWGB6OO8El/EqwOFw4AtJ39LMnBwMu+gihWZEROHMaDTivPPOcx6vXLnS5zWrVq1yPh49enQoptViMTAlIpLJLglMtXp5gaJr8SPfWbHq02aXc4b4UC3lbVzhIwAosYkDU9lLeUskGdOUyApM10mX8aamoF1ma4VmEzm2b1iP3EPMlhKRfNdcc43z8bx587yOzcvLw7Jly9xeS74xMCUikkm651OrlRcoWiUZUzl7TKuLXANTY0JoAtP8ADKm0j2mcoofOewOlJeKnzOSMqbul/GyGm9T2CTJdmS2bYuhFzJbSkSeTZw4ETEx9b8XDx48iI8++sjj2CeffBJ2e31hiSFDhqB///5NMseWgoEpEZFMdmlgqvdeAOEMi12cMdXJyJjWFrsGpvqY0PT5dMmYyqzIC7juMZWTMS0vq4bDIY7WI2mP6aHjJ1BUVi46N6xPb2UmE0EEQcCuzZtE5y4Zdy2zpUTkVatWrfDoo486jx988EEsXrxYNMZqteKpp57CggULnOdmzZrVZHNsKViVl4hIJodVEpjq5AWm0oypnD2mtaWSQksGHdQyAtrGkO4xzTLIy5g6BAdKpXtMZRQ/Ki0WV+TVaDWIT5SfpW3u1kuypZlpqWibKW8JNDXeiaNHUVZcLDrXZ9BghWZDRKE0ZswYnDx5UnSuYRuXrVu3om/fvi7X/fjjj8jMdK2OPn36dKxbtw7Lly9HXV0dbrrpJrz44ovo378/TCYTVq9ejYKCAuf4mTNnYsSIEcF7QRGCgSkRkUwOm7gYkV5uxrQRe0xdAlOjvEJL/qqwmVElqf4rN2NaYS+FDeLviZyMaZm08FFynLPqYUsnCIJLYDqkD5fxNgVptjQ1PQOtc3IUmg0RhdK+ffuQm5vr8es1NTXYudO196xF0j/8DJ1Oh6+//hp33XWXM1u6e/du7N6922XcjBkzMG3atABmH7kYmBIRySQNTHUyM6bSPqZ6GTFYXbn4l6MuKjSBab6kVQxQ3y5GDukyXgBI0rXyeV0kt4r563geiiXLeFmNt2ns2rJFdNx70CB+IEBEsiUkJGDRokW48847MX/+fGzYsAEFBQXQ6XRo06YNLr30UkyZMoUtYgLAwJSISCbBJo4w9fpoWddJM6Zy9piaKsQZU31MaAJTaQ/TdH0UDGp5e+6khY8SNSnQqXzvg43kVjHrJdV4M1uloW1rLuMNNavFgn3bt4nO9R40SKHZEFGoHTt2LGT3vuiii3ARW0yFRGSsnSIiCgJpX1GdLkrWdY3ZY2qqEmdMQxaYmiUVef1pFdOIiryA6x7TSMmYOhwO12q8XMbbJA7u3gWL+eyHPSqVCr0GDFBwRkREJMXAlIhIJsEmjjANMpe8SqvyytljapEEpsZQ9TCVFj7yo1WMtIep/MBUupQ3QfZzNmd/Hc9Dcbk4KB/ah8t4m8KuzZtFx+27dkVsfGT83BERNRcMTImI5JIs5dXp5WVMLdKMqZzAtEa8lNcYH6qMqaRVTAAZUzmFjwA3gWlaZGRMpUWPslqlIad1ukKziSw7JYWPerMaLxFR2GFgSkQkl12SMdXLzJhK95jKWMprqRNXyjUmhqr4kWQprz8ZU2mrGJ28IEtalTcSlvLWL+PdIzo3tC+X8TaFirJSHPvzT9E57i8lIgo/DEyJiOSSLMmVG5haJVV55RQ/stWJl/JGJYVoKa80YyqzVQzgWvwoVUYP07paM+pqxdngpJSWH5j+mZuHEi7jVcRuSTVeY1Q0OvfoqdBsiIjIEwamRERySQJTo8xlr1aXPqbex9ssAuxWccY0Ojn4ganJYcNpS53oXJbMfbNA44ofSbOlQGRkTKVFj7LTW6FNBpfxNgXp/tIe/ftDq/NdPZqIiJoWA1MiIhksVhNU4vhSfvEjP/eYWqoF2G3ijGlMSvAD05OmWpdzfmVMbf4HptL9pTGxRhiMoVmmHC4cDofL/lJW420agiC4BKZcxktEFJ4YmBIRyVBnqnA5ZzTEybpWusfUV7sYS7UDDps4YxqTFvzAVNoqJl6jQ7xWXpBoFawotxWLzsnZYyptFZMUARV5Dx47jtIKcUA+pC+X8TaFvKNHUFYi/jll4SMiovDEwJSISAaTpdrlXJTB9xJUQRBc+pj62mNqqRHgsIV+j2m+qfH7S8usp13OpcjYY+raKqblL+P9ae0G0XF2eivkcBlvk9gtyZamZWSgdZs2Cs2GiIi8YWBKRCSD24yp3ncgJw1KAd97TOuX8kqq8oagj6k0YxpI4SMNNEjUpvi8LtIC08LiEpf9pSMG9FNoNpFn1xbpMt7BXEJNRBSmGJgSEclgklSvBYBoo++gSrqMFwD0Gu9/GJsq7RDsNtE5Qwj6mJ6QtIrxq/CRTdwqJlmXDrXK96+USAtMl65cA4dw9mfAaNDjkiFcStoULGYz9m3fLjrH/aVEROGLgSkRkQwmS5XLOYOMpbzSwkeA74xpTbHF5ZwxJIFp45fySivypsoofAQAZZI9pskteI9pRVU1Vmz+Q3TukiGDERsdpdCMIsvB3btgMZ9tTaRSqdDz3HMVnBEREXnDwJSISAazJGMqqAGtRuvzOovdTcbUxx7T2mKzyzlDCJby5kt7mAbSKkbG/lIgsjKmP65dD4vtbOZbq9HgyguGKTijyCKtxtuhWzfExrfcD0KIiJo7BqZERDK4FD/ysRz3DHd7THU+3nlrS00u5wyxwe276BAEnJQGpgHsMZVTkddhd6C8VPx9TGqhgWmd2Yyf124UnRvevy9SEhkYNZVdmzeJjnsP5DJeIqJwxsCUiEgGi3SPqUbe26d0j6lGBWh8ZUxLxRlTrUEHtcznk+uUpRZWQRw1Zxsbv8dUzlLe8rJqOBzi52ypGdNlG7eguq5OdO6a0RcoNJvIU15aimN//SU6xzYxREThjYEpEZEMZkvjAlPXVjG+r6krF+8x1UWHfn+pXqVGqk7+3kfXjKmcVjHi/aUajRrxifKD4ebCZrfju1VrRecG9uiG7PRWCs0o8uzeskV0bIyKRqeePRWaDRERycHAlIhIBotFnP1SaWVmTCV7TH3tLwUAU4U4MNWHIjCVtIrJMsZA7UcbjcYUPyqT7C9NTImDWt3yfg2t3bYTxeXiIPya0SMUmk1kki7j7XnuudBqfe8JJyIi5bS8vwiIiELAYqkVn9Bo5F0nyZjqZVxmrhQv5dXHBj8wzZdW5DXI318KuAamyVrfe0xLS1p+4SOHw4ElK1aLznU9py26ntNWoRlFHkEQXDKmbBNDRBT+GJgSEclgsUoypjp52RerZI+pTkbG1Fwtzpga4kKfMfWn8FGdvQY1DnH7nMZkTFtiq5jtB/5EXqF4/y2zpU0r7+gRlJUUi85xfykRUfhjYEpEJIPFLM6YquVmTO3iY189TAHAUiMOTI0JwW8VI91jmuVPqxhJ4SNA7h7Tlp8x/Wb5KtFxdnornNuti0KziUzSNjFprVsjIztbodkQEZFcDEyJiGSwWsUtXNQy96tJq/L62mMqCAKsdeLANCohFMWPpBlTf3qYigNToyoKMeo4n9dJA9OW1irm4LFc7D9yTHTu6lEXtMh9tOHMpU3MoEFQ+bF/moiIlMHflkREMlglxY/kB6biY52PRKvdDNgtVtG5qKTgZkwFQXBdyuvHHlPp/tIUXYasP/xbesZ0yXLx3tKUxAQM799HodlEJovZjH3bt4vOsX8pEVHzwMCUiEgGm01ckEit08m6zupnVV5LjQC7TZwxjU4JbmBaYbOgxm4TnfNnj2mxzf9WMYBru5iWtMf0xKnT2LJ3v+jclRcMg46VYJvUgV07YbWc/fejUqvR89xzFZwRERHJxcCUiEgGm0W6lFdeYOpSlddnYOqAwybOmAY7MJVmS1UAWhuiZV/fmFYxpjoz6mrEwX1Lyph+u2INBOHshxAxUUZcfB4zdU1Nur+0Q9duiI1vOR+AEBG1ZPwol4hIBqtVHFRpdPL2fbrsMfWxlNdcJbgEplFBLn4kLXyUro+GXi2vmBPgbimvjFYxRZUu51pKYFpaUYnVf4iXj1467DxEGYNftIq8kwamfdgmhigi2e127N27F1u2bMHWrVuxZcsW7Nq1C1Zr/e/XESNGYOXKlX7d8+jRo6L7/fHHH6iqOluhvuGHk9Q4DEyJiGSwSwNTuRlTSVVeX+1i3C3lNcQHt/hRIIWPAKBYUvwoRet/Rd6YWCMMxuAXdVLC96vXwWY/+x9ap9XiiuFDFZxRZCovKUHuob9E59gmhijyLFmyBBMmTEBtba3vwTIUFBSgV69eKCkpCcr9yDMu5SUiksFmFQeLWp28bJhrH1Pv4y01rhlTY5AD03yzOGPqT+EjoJEZU8n+0qSUlpEtramrw6/rxVVgRw06F4lxvqsUU3Dt3rpFdBwVHY2OPXooNBsiUkp5eXnQglIAMJvNDEqbCDOmREQy2CWBqdylvFZ/95hWuwtMg72UN8CMaSOKH7XUiry/rN+EOvPZbLpapcJVI85XcEaRa6ekTUyPcwdAy+JTRBErPT0dAwcOdP7vl19+wZtvvtno+8XGxqJ///4YNGgQBg4cCJPJhIkTJwZxxsR3bCIiGaTBok5nlHWd/3tM7XDYxc8V9KW80oypHxV5BUFoVPEj1x6mzb8gjcVqxQ+r14vODe7dE63TUhWaUeQSBAG7t4gzpr25v5QoIl122WXIzc1FTk6O6PymTZs8XOFdeno69uzZg27duon6Uvu7R5V8Y2BKRCSDXRKYavUyA1M/28XUlphdzhmDXvxInDHNMsjPmFbbK2AVxNljOXtMy0paXsZ01dbtKG9Q+AIAxo0eodBsIlvekcMolyy1Y+EjosiUkSGvhZlcUVFR6MFtAU2Ce0yJiGRwWCWBqeyMqfjY1x7T2hKLy7lg7jGts9tQbBW3vgmkhykgd49pywpM7Q4Hvl25WnSuV6cO6NAmS6EZRbadkmq8aa1bIz0rW6HZEBFRYzAwJSKSwWGziY71MjOm0uJHeo2PjGmZa8bUEBe8wPSkZBkv4F/xI+ky3jhNIgxq39+LshYWmG7Zsw8FReIM3TWjL1BoNiRtE9N70CCoVN7/rRERUXhhYEpEJIM0MJW/x1R8rPfxrmsql1T/NWqh1gTvrVrawzRRq0eszNY3AFDciP2lDrsDZSXiJa/Jac13j6kgCFiyfJXo3DlZmejTuZNCM4psFrMJ+3eI+8j2Gcg2MUREzQ33mBIRySDYxA1J9fpoWdf5u8fUVCHOmOqjg134qPH7SwE3rWJk7C+tKK+GwyGO0JtzxnTv4aP46/gJ0blrRl/ADJ1CDuzcBavl7Ac6KrUaPc49V8EZUaRxCAIqLYLvgREqXq+Cmu+PJAMDUyIiGQS7NGMaJes6lz2mPqrymqrEGVN9bJADU5dWMf71MJVmTBvTKkajUSM+0b+AOJxIs6WtkpMwpHdPhWZDuyRtYjp2647Y+Ob7wQc1P5UWAeOXVfgeGKEWXpiARAMDU/KNS3mJiGQQbOII0yAz0+iyx9RnH1NxYGqIC25F3vwAWsUAQIntlOg4tRGFjxJT4kQl95uTYycLsP3An6JzV40cDo3GxycOFDI7t7juLyUiouanef5lQETU1CRLeXV6mRlT8WVe95gKggBztXgpb6hbxWQHuJQ3WVZgKs4kNOdlvN8uF1fijY+JwehBXDaqlPKSEhw/dEh0joEpEVHzxMCUiEgOyV5Rg75xGVOdl4ypzQTYJW1pohKDvcc0sIypS/EjOT1MJRnTpJTmGZieLi3D2h27ROfGDB8Cgz64/41Ivt1bt4iOo2Ji0LE7+w0SETVH3GNKRCSHXbKUV2Zg6lKV18uKT0uNAw6bNDANXsbULjhQIAlM/S1+VGoVL+VtzB7T5pox/WX9JlERJ4Neh8uGnafgjGinZH9pz3PPhVbLP22oacXrVVh4YfOtNB5q8XruLyV5+O5NRCSHJGNqlNn70+LHHlNLtQCHTbzHNCo5eNm4QnMdbIJ4Pv5kTO2CHaW206JzctrFuAamze8POEEQsG77TtG5CwcPRFxM8y3i1NwJguCmfynbxFDTU6tULO5DFARcyktE5IPFaoJK0glATvEjQRBglewx1Xl517XUCK4Z0yDuMc2XtIoxqjVIldmPFQDKbcVwQJwCjpSM6V+5eSgqKxedu3DQAGUmQwCA44cPo6K0VHSu98CBCs2GiIgCxcCUiMgHk7nK5ZzREOfzOrsASRjnO2NqlwSmhvjgZUxPmFyX8frTe1O6v1QNNZK0aT6vc9lj2gwD03WSvaWZrdLQNtN3UE6hI20T0yozE+lZ2QrNhoiIAsXAlIjIhzpzpcs5o973Eljp/lIA0Gt8LOW1i5fyGoPYLuaEJGOa5W+rGElgmqRNg0blvU2Kqc6C2hqT6Fxzy5g6HA6s37lbdG5Y315+BfUUfC7LeAcO4n8TIqJmjIEpEZEPdW4yplEG38GVRbIvFfDeLsZS44BDUpU3mO1iAm0VU2wTB6bylvG6Np1vbntMDxzLRWmF+MOJYX17KzQbAgCL2YT9O3eIznF/KRFR88bAlIjIB5PJzVJeo++lvFY3GVNv7WIs1QLskoxpMJfy5ksr8gaYMW1M4aPoGCOMUc2rvcq67eJlvDkZ6WiT4bt/K4XO/h07YbWc/beiUqvR81z2kyUias4YmBIR+WCyuMmY6n0HptKKvICvdjGuxY+MIdxj6m/GVBqYJmt9B2fS/aXNbRmv3eHAxl17ROeG9WO2VEmCIODXr78SnevUvTti4nz/myQiovDFdjFERD6YJZlGQQVotb4DRoukIq8KgNbLFjhzlWsfU2N8cJbyCoLgupTXz4xpsaSHaarOd2Da3Cvy7jt8FOVV4u/bUC7jVdT3C/6LrWvXiM71Hsx+skR01pgxY3Dy5EnRucLCsx+ubt26FX379nW57scff0RmZqbL+eeeew5Lly4VnauuFv9ucHe/F154AVdddZUfM49sDEyJiHwwWcS/fLxGlw1YXXqYwmtxlroyi8u5YC3lLbOZUeuwic75mzEttYkD08bsMU1qZvtLpct422dnIjMtVaHZ0L7t2/Df998TnYtLSMDF14xTaEZEFI727duH3Nxcj1+vqanBzp07Xc5bLK6/hwHg+PHjbsc35O7rpZKWVuQdl/ISEflgkWRMoZH31imtyuttfykA1JaZXc4FaymvdBmvGiq09rf4kbUxxY+kGdPms9zSZrdjwy5pNV5mS5VSVlyM2c9Nh8N+dimCSqXCA8/PRGJysoIzIyKiYGDGlIjIB7OlsYGpOGOq895ZBaZy18DUEBecwDRf0iomwxAFndq/zyaDUfyoOfUw3f3nIVTX1onOcRmvMmw2G2Y/Nx0VkuzD9ZOnoM9gVuMlIrFjx44F9X7z5s3DvHnzgnpPcsWMKRGRDxaLODhRaeW9dVrt0qW83jOmdRXiJURaoxYaX9GsTNKMaZbBv/2lFocZlfYy0bkUre/A1LX4UfNZyrtuhzhb2imnDVolJyk0m8i28P33cEDSHqbveUNw7aTblZkQEREFHQNTIiIfLJZa8QmNvGBRupTXWw9TADBVSlrFxAazIm9ghY9KJPtLAd8ZU4fdgbIScUXj5lL8yGqzYdPuvaJzrMarjE0rV+K7Bf8VnUtNz8D9zz0PtZ9ZfyIiCl98Ryci8sFilWRMdfJ2QUiX8uo1njOmgkOApVoSmMYFpyIvAJyQ9jANsFWMTqVHnCbR6zUV5dVwOMTReXMJTHcc/Au1JpPo3NA+vRSaTeQ6efw43nvpH6JzWp0Oj7z0EuISmk/2nYiIfGNgGsaWL1+OSZMmoWvXroiLi4NOp0NKSgqGDRuG5557Dnl5eUpPkSgiWMzijKm6kRlTnZd3XKtJgN0qDkyD28NUmjENvPCRtwrDAFyypWq1GgmJ/mVqlbJeUo232zntkJLIQKgpmU0m/OvZaairFf/7m/TQw+jYrbtCsyIiolBh8aMwVFdXh1tvvRVff/21y9dKS0uxfv16rF+/Hv/85z/xzjvv4PbbuceGKJSsVnHmTK2V99bpzx5TS7Xg2sM0MXiBab4kY5rt5x5Tl8JHMvaXlhZJWsWkxEEts3CUkswWKzbv3Sc6N7Qvs6VNSRAEfPjaKzh++LDo/PDLLsNFbA1DRNQiMTANQ7fddpszKE1KSsLDDz+MQYMGISUlBbm5uViwYAG+/vpr1NbWYsqUKUhLS8OVV16p8KyJWi6rpPiR3MDUZY+pl0SrpcY1MI1KDM5S3lq7DSWS4NrfPabSjGmyLt3nNc21Iu/2AwdhMp/NXqtVKgzhMt4m9fu3S7Dm559F59q0b487//6kz0w9ERE1TwxMw8zOnTvx5ZdfAgDS0tKwbds2ZGdnO78+cOBAXH/99Xjvvfdw7733QhAETJ8+nYEpUQjZbOI2LmqdTtZ1LntMfWRM7fbQLOWVtooB/F/KWyopfpTaiMC0uewvXbdDvIy3e4dzkBTffPqvNneH9+/HvNn/Ep2Lio7Goy/NgsFoVGhWREQUauG/pirCrFmzxvn4zjvvFAWlDU2dOhWZmZkAgB07dqC62vUPTyIKDptFupRXZmBqFx9722NqqRHgsEqW8iYEJ2MqbRWTpDUgRiPvNZxRbBUHpimN6GHaHAJTk9mCP/YdEJ0bxt6lTaaqogL/enYabJJ/C/c8Mx2ZOTkKzYqIiJoCA9MwU1l59g+5du3aeRynUqnQtm1b53FVVZXHsUQUGJtVnDHV6ORlMq2SjKnOW8a0RoBDkjE1xAcnMJXuL83yM1sKNG6PaVmxeI9pc+hh+se+AzBbzgZFarUa5/XuqeCMIofD4cA7L8xEUaH4Z+3Km2/G4JEjlZkUERE1GQamYaZz587Ox8eOHfM4ThAE5ObmAgASEhLQqlWrUE+NKGK5BKYyM6ZWP/qYWqocsEuLHwVpKa9LRV4/Cx8BroFpYzKmSSnhvxxWuoy3V6cOiI/1P5An/30zfx52bNwgOte1dx/cPPVehWZERERNiXtMw8yVV16J7OxsnDhxAh999BHuvfdeZGVluYz74IMPcPLkSQD1y3o1MttXeHP69GkUFRX5dc2hQ4cCfl6icCcNGLU6eZlMf/qYuit+ZIgLUWDqZ8ZUEAQU2wIPTMM9Y1prMmHb/oOic1zG2zR2btqELz7+SHQuITkZD73wD2hlFhsjIqLmje/2YcZoNOK7777D2LFjceLECfTq1QsPP/wwBg8ejOTkZOTm5mLhwoX46quvAAA33XQTZs6cGZTnnjNnTtDuRdSS2CyNW8or3WPqNWNaI8BhkxY/CtIeU+lSXj8zprWOapgc4l6SqT4CU1OdBbU14r254b7HdMue/bDabM5jrUaDwb16KDijyFBcWIi3Zz4PQTj7QY5KrcZDM/+B5LQ0BWdGRERNiYFpGOrbty+2b9+ODz74AK+99hqef/55lzGDBw/G3//+d1x33XUKzJAoskgzmTqdvMqg0oyp1z2mbvqYGkK1lNfPjKm0VQwApGi9V+UtlewvBYDktPAOTKXLePt06YjY6CiFZqMMQRCwb/t2FBcWNOp6hyDAYbfDbrfDbrPDYbfVP7bbneedX//f4z1/bEVVhfjn5eap96BH//7BeElERNRMMDANU19++SU+//xzVFS4/nEHANu2bcP8+fPRqVMn9O7NpWZEodTYpbwue0y9LuUNzR5Tm+BAoVmc7fS3h6l0f2mMOg5RGu/BrXQZb1SMAcao4GSAQ6G6tg47D/4lOjc0ApfxfvLG6/j1f320lTLwggtw1S0TFJ0DERE1PQamYcbhcOC2227D559/DgAYNWoUnnzySQwePBgxMTEoKCjADz/8gBkzZuC7777D8uXLsWDBAowdOzbg57733ntxww03+HXNoUOHcM011wT83EThTJrJ1OrlZdEsdmkfU89jzdUOl+cJRruYQnMt7BDPw9/iRyWN2F9a1sz2l27avRc2+9m11zqtFoN6dldwRk2vtqYGv3/7raJzSM/Kwj3TnoVK5flDHCIiapkYmIaZDz74wBmU3nDDDVi0aJHoF3ROTg7uueceXH755RgwYABKSkowYcIEHDlyBKmpqQE9d6tWrVjdl8gNh9UmOtbJLn4kPtZ7WcprKrcCkgAyGBlTaQ9To1qDFJnzP6PEpYep92W8AFBa0rx6mEqX8fbr2hnRRnlLtluKE0ePwGG3+x4YIoaoKDz60izExIV/9WYiIgo+BqZh5sMPP3Q+fv311z1+atyuXTs8+OCDeP7551FVVYUFCxbggQceaKppEkUUh00cmOrlZkyle0y9FM+uKze7nAtGH9MTZvH+0ixDjN/ZKJdWMbJ6mDafwLSiuhq7/zosOnd+vz4KzUY5J44eFR0boqKQ1badX/dQqQCNVguNRgONRgO1puFj8f9rtGcfx8TG4fxLLkX2OecE8RUREVFzwsA0zOzbtw9AffYyJyfH69iBAwe6XEdEwSfYxFkknU5eYGp1WcrrOSCsq7C4nAtGuxjXwkf+9zCVFj+SlTFtRoHppl174XCcTW8b9Dqc272rgjNShjQw7Tv4PDz60ssKzYaIiCKNlx1PpIQz/dqsVquPkeIxOp0uZHMiinSCXZoxjZZ1netSXg/3dwiwVIkDU61BA60+8P7E+ZJWMY0JTEts4qW8vlrFAK5VeZPCODCVLuM9t3tXGA3BqYjcnJw4Jg5Mmb0kIqKmxMA0zHTo0AEAUFZWhp07d3odu3z5cpfriCj4BJs4wpS7lNcqs12MpVZwqchriAtSD1NpxtTgX6sYwF3GVE5g2jyKH5VVVmHfYXFANiwCq/ECrhnT7HYMTImIqOkwMA0z48aNcz6+5557UF1d7XbcunXr8MEHHwAANBoNrrzyyiaZH1FEkizl1csM7lwyph4SoJYaAQ6bOGNqTAhSD9NgZEwlgamvjKnD4UB5SZXoXFJKeBa02bBzNxzC2Q8QjAY9+nXtouCMlFFbU4OS06dF57LbMzAlIqKmw8A0zDzyyCPOvaUbNmxA79698cYbb2DdunXYsWMHfvrpJ9x3330YNWoUTCYTAODBBx9kxpQolCR7RQ16eYGp7IxpteDaKiYx8IypIAguGdMsPzOmDsGBUmlVXh/FjyrLa2C3i6PycM2Yrt+xW3Q8qEd3GPSRtzVCmi1VazRond1GodkQEVEkYvGjMJOQkIBly5bhuuuuw65du3D06FE89thjbseqVCrcd999eP3115t4lkQRRhJkyQ1MLZLOG572mFpqBNilGdMgtIoptZlhcogn4W/GtMJeChvEe2x9ZUyly3jVajUSk/zP1IZaSXkF9h89Jjo3tF9kLuPNl+wvzcjOhk4feftsiYhIOQxMw1DHjh2xdetWfP311/jyyy+xbds2nDp1CmazGXFxcWjfvj2GDRuGyZMno0+fyGtpQNTkJBlTo8F3kGUXBNjEl0Gv8SNjGoQ9ptJsqQYqtDbIK9x0hnQZLwAk6bz3Oy4tEhc+SkyOhVoTfgt01u8UZ0ujjUb07dJJodkoK4/7S4mISGEMTMOUTqfDTTfdhJtuuknpqRBFNIvVBJUkwDTIWA5rdbie85wxdbgEpoYgZExPmMT7SzMM0dCq/AsQpYWPEjUp0Km8L3VtLq1i1m0XV+Md3KsHdNrI/LUozZi2YUVeImrG7HY79u7diy1btmDr1q3YsmULdu3a5exoMWLECKxcuVL2/crKyvD7779jxYoV2LFjBw4dOoTy8nIYjUakpaVh4MCBGDt2LG688UZ2yghAZP4GJiKSyWSucjlnNPgu5CPtYQp42WMaoqW8J8yB7S8F4Lq/tBEVeZPCcH/p6dIy/HU8T3RuWN9eCs1GedKMaRYDUyJqppYsWYIJEyagtrY24HtVV1fj5ptvxq+//gqLxbXfuNVqRVVVFY4cOYJFixbh2Wefxfz583HBBRcE/NyRiIEpEZEXdeZKl3NGve+lvNKKvICXqrxulvIa4oO/lLcxFXmLbcFoFRN+GdP1kt6lcTHR6NW5o0KzUVZtTQ1KTok/gGDGlIiaq/Ly8qAEpUB9YPr999+LzqWnp2PAgAHIyMiA1WrFjh07sGtX/e+UY8eO4cILL8Q333zDjhmNwMCUiMiLOjcZ0yiD70DL4nDNmOr9qcobhIxpvgKtYgCgrCT8A9N1O1yX8Wo1Hj45aOHyjx0THas1GrRuk6PMZIiIgiQ9PR0DBw50/u+XX37Bm2++2ah7JSUl4bbbbsPtt9/utr7L2rVrcdttt+Ho0aOw2WyYMGEC/vzzT6Snpwf6MiIKA1MiIi9MJjdLeY2+l/JKK/ICgM6vqrzByJhKAtNGLOUtcVnK6/uXbLhnTE8WFePIiZOic8P6RmY1XgA4cfSI6DgjK4sVeYmo2brsssuQm5vrbL94xqZNm/y+l16vx3PPPYfHHnsM8fGef5edf/75WL58Ofr06YPKykpUVlZi9uzZmDVrlt/PGcnCr0wiEVEYMVtqXM5F6WXsMXXpYQqoVZ72mIaq+FEQlvJKM6Y+epgCQFmxuCpvuPUwlfYuTYiNRY8Okbt09YSk8FH2Oe0VmgkRUeAyMjJcgtLGSk5OxsyZM70GpWe0a9cOU6dOdR7/8MMPQZlDJGFgSkTkhbT4kaACtFrfQaN0j6mnbCngaSlvYBnTWrsVZTaz6Fxjih9Jl/L62mNqNllQU20SnQu3jOnOg3+Jjof06QlNhC7jBYATLq1i2ikzESKiZm7YsGHOx8ck2yTINwamREReuGRMte6znlKuGVPP17lbyhtoxlS6jBcAso3+B6b+Fj+SLuMFgKQwCkwFQUBuQYHoXKT2Lj3jxNFjouPs9syYEhE1hqrByii73c2eHvKKgSkRkRdmScsVaOS9bUr3mHrqYQoA5ioHHPbgFj+StopJ1hkQrfGvt5pVsKLcViw656v4kTQwjYo2ICo68P2ywVJaUYmaOnFGt21ma4Vmo7y6mhoUnxJ/+JDdLnKXNRMRBWL37rNbRdq0aaPgTJonFj8iIvLCbKkTn5AbmEoypp4q8gKAudIGCOLxgS7lzXcpfOT//tIy62mXc74zpuL9peGULQWA3AJxEGY06JGaGF57YJtSfu4x0bFKrUZmkPZmEUUKwSHAXOVaiZ3qGeJUUHn5HdhSOBwOfPrpp87jiy66SMHZNE8MTImIvLBIlvKqtHIDU/GxTuP+l7LDLsBcZXY5H+hS3nLJ/tI0fZTf9yixiSvyaqBBgibZ6zXhXpH3uCQwzclIh1oduYuH8iT7SzOyslmRl8hP5ioBC28uU3oaYWv8giQYE1p+YDpnzhwcOHAAAKBWq3HPPfcoPKPmJ3J/GxMRyWC1SjOm8orkWO3SjKmHcbUC7JLCR0DgS3krJXtW47X+LeMFXCvyJuvSoVZ5/7VRFu6BaaE42M5p7bvKcEuWLy18dA6X8RIR+Wvv3r14+umnncdTpkxBjx49FJxR88TAlIjIC7OlVnSs0soLTKUZU09Leesr8oqDSK1BA60hsAUtlZJgN15GJWEpaUVeX/tLAXcZ0/BaJivNmLaN8MBUmjFlYEpE5J/y8nJcc801qK6ur+3QqVMnvPHGGwrPqnliYEpE5IXFLA5M1Vp5AaPLHlMP8Wx9Rd7g9zCtsouD3ThN4IFpioweptI9puGUMbXb7Thxqkh0LuIzppIepm0YmBIRyWYymXD11Vfj0KFDAID4+Hh8+eWXiI31v64DcY8pEZFXVqu4gqtKbmBql9cuJhQ9TAGgIgRLeVN06T6vCec9pgXFJbDabKJzbVv7fk0tlam2FkWF4v/GWazIS+Q3Q5wK4xckKT2NsGWIa5n7S202G2666SasXr0aAGA0GrF06VL07t1b4Zk1XwxMiYi8sEqq8mpkBqZWl6W87sdZahwuS3mDkjENxlJeSfEjX0t5HQ4HykuqROfCqSqvtCJvUnwc4mL87+3aUpxgRV6ioFCpVRFR3IfOcjgcmDRpEpYuXQoA0Gq1+OKLLzBixAiFZ9a8cSkvEZEXNkl1W7VOXubR6rKU10PGtMZdxjTwwNS1+JH/93TNmHoPTCvLa2C3iyPycNpj6lKRN8KX8Z44Iq3ImwW9IXx6zhIRhaupU6fi888/B1Bfgfc///kPrrzySoVn1fyFfcY0Ly8Px44dQ2FhIWpq6ts2xMTEICMjA+3atWPzWiIKKZtFvJRXLXNJrEu7GE8Z02o3e0zjAg8OXALTIOwx9ZUxlS7jVavVSEwKn302uQXiDHCkFz46cYyFj4iI/PXII4/gww8/dB5/8MEHuPnmmxWcUcsRdoHpwYMH8f333+O3337Dli1bUF5e7nV8YmIiBg4ciIsvvhhXXnklunTp0jQTJaKIYLOKM6YanbwAT7rH1GNV3hrXqrxRCUEITO2BZ0z9LX4kbRWTmBwLtSZ8FuZIM6ZtMiJ3fykAnJBW5OX+UiIir5555hnMnj3befyvf/0Ld9xxh3ITamHCIjCtq6vDvHnz8Mknn2Dbtm3O84IgeLmqXllZGX777Tf89ttveOKJJ9CvXz9MmTIFEydORHR0dCinTUQRwCUwDXLG1Oym+FGge0xtggM1dnGRH3+LH9U5alHjEO8X9VX8SJoxTUoJn/2ldWYzTpWUis4xY8qMKRGRXC+99BJefvll5/ELL7yAhx9+WLkJtUCKBqaVlZV4/fXX8e677zozo9JgVKvVonXr1khNTUV0dDQEQUBdXR2KiopQWFgIm80mumb79u24//778cwzz+D+++/H448/jvj48PnjiIiaF+kyW61OXjZT9h7TaofLcwS6x1Ra+AjwP2Naaj3lcs7XHtNwbhVzovC06FitUiE7vZVCs1GeqbYWRQUFonPMmBIRuffmm2/i2WefdR4/8cQTmD59uoIzapkUCUztdjvefvtt/OMf/0B5ebkosOzevTtGjx6N4cOHo2/fvujYsSNUKvd/0AmCgL/++gs7d+7EmjVrsHz5cuzbtw9AfbPbl156Ce+++y6mT5+OBx54ABqNh0aCREQe2CyNXMoruyqvAIddWpU3sKW8VZKlwYD/gam08JFRFYUYdZzXa8K5VYy0Im9GagoMev9b6LQU+bm5omOVWo3MtqzIS0Qk9cknn+CRRx5xHt9333145ZVXFJxRy6VIYNqnTx/s37/fGZCec845mDx5Mm688UZ06tRJ9n1UKhU6d+6Mzp0744YbbgAAHDp0CIsWLcLcuXNx5MgRlJWV4bHHHsPHH3+M3bt3h+T1EFHLJV1mq9MZZV3n3x7T4GZMpT1MNVAhWu3f273L/lJdhscPCc9wWcqbxoq84erE0SOi4/TMTOgN8n62iYjC3ZgxY3Dy5EnRucIGfZu3bt2Kvn37ulz3448/IjMz03m8e/du3Hnnnc6YJSYmBoIg4P7775c1j4ceesiv2CbSKRKYnslqXnDBBXjqqadw2WWXBe3eHTt2xDPPPINnnnkGP/30E1599VWsWrXK+ZxERP5o7FLewKryBriU103hI19BpVSxzb9WMUB4Z0yPF0or8kZ24aM8aeGjc9orNBMiouDbt28fciUrQxqqqanBzp07Xc5bLOLfnyUlJXA4zv5Cr6mpwZw5c2TP4/rrr2dg6gdFyiWed955WLlyJVauXBnUoFTq8ssvx4oVK7By5Uqcd955IXseImq5pNlMrT5K1nX+9TEV/yI0BriUt1Iy5zg/Cx8B/reKAYCyMN5jKl3KG+kZ03xp4aN27ZSZCBER0f8okjFdv359kz7fBRdcgHXr1jXpcxJRy+Cwiqvb6uRmTO3iY897TB2uS3kTAsuYuvQwDUarGB8Vec0mC2qqxT1fwyUwLa+qQmV1jehcpAemzJgSUUt27NixoNxn5MiRsrqEUHCET4M5IqIwJNjEgaleZsbUIs2Yutlj6rALsNYKsNuCW/zIJTDV+B+YFkuq8vrsYVpS6XIuOTU89pjmFohfi16nQ3pKskKzUZ6prs61Iu857ZSZDBER0f+ERR/TYCosLHSuD8/JYYVBIgqMwyZOfep0cpfyio91bpbyWmoECA47IPk0NtDiR9LAtCmW8paXVYuODUYdoqIDC7CDRVr4qE16K2jUkfu5bL4kk6BSq5HVtq0ykyEiIvqfFheYXn755di1axdUKhVskkwHEZG/BLs4MNXro2VdJ82Yuit+ZKl2rcgLBCEwtYvvmdCYpbw2ScbUR2BaWSZeKpuQFOv3c4bKcUnGNNKX8Z6Q7C9lRV4iIgoHLS4wBcC14EQUNILNjoa5TrlLea0ue0zdZEyrXZfxAsHvYxrnZ2AqCILfe0wrJBnT+MRwCkylhY8iuyLvCen+0nbnKDQTIiKisyJ3LRMRkRx28ZpcvSFG1mWue0zdjHFT+EijU0Nr0Pg3RwlpH1N/95hW2ytgEcyic772mFaUiwPTxDDJmDocDuSdkraKYca0oexzGJgSEZHyGJgSEXljEwemBhlLeQVBcOlj6q5dTH2rGEkP03iD3z1HpaQZU3+r8kp7mALNN2N6qqQUZov4exzxS3ldKvIyMCUiIuUxMCUi8sYuDUx9B1zSwkeAh4xptQCHXdLDNMBWMYDrHtN4P4sfSZfxxmkSYVB734MoDUzDZY+pdH9pfEwMEuPCY25KcF+Rl4EpEREpj4EpEZE3dvGSXIPe91Jed4Gpzt0e0xoBdqukh2mA+0uBwPuYFvtZkRdwF5jKW/Icarlu9pcGmpFuzk7m5orqMKhUKmTmsCIvEREpj4EpEZEHFqsJKkktNaPRd7ZNur8UAPRuto3WV+WV9jANQsY0wMDUpfCRj/2lAFBZLq3KG+fXc4bK8UJpYBrhy3gl+0tbZWbCYGRFXiIiUh4DUyIiD0zmKpdzcpbyug1M3WZMHbBLlt0a4wIPTF32mPpZ/EiaMfXVKgYAKsrE36v4xHDJmLLwUUOsyEtEROGKgSkRkQd15kqXc1EG35lAi931nMc9pm6KHwXC5LDBLIjXEsf5u8dU0sM01UfhI5vVhppqk+hcOFTlNVusKCwqFp3LyWCrmIa4v5SIiMIFA1MiIg/q3GRMowzxPq+zSjKmahWg8bDHVBqYGgNcylsluR8AJPi9lFccmPrKmFZIlvECQHwYBKb5p4vgkPS1bsPAVHTMwJSIiMIFA1MiIg9MJtfA1Gj0nTGVFj/SeXindbfHNNDAVNrDFADiAt5j6l+rGLVajdi4KL+eMxSOSwoftUpOQpQx8OJSzZXZZMLpgpOic9nntFdoNkRERGJapZ549erVIblvdXW170FERDKYLa6ZwCi9jKW8koypu/2lwP+q8kozpgmBBU7S/aVGtQYGtZvKS164BKY+MqaV5dIepjFQq5X/3FNakTfS95fmu6nIm9WWFXmJiCg8KBaYjhw5MqJL9hNR+JMWPxJUgFZG9lG6x9Td/lKgvvhRsKvyVkoC3TiNf/tL7YIdpbbTonO+2sVIM6bhUvhImjGN9Iq8+dKKvK1ZkZeIiMKH8h9pExGFKZeMqVbeh2kuGVONh4ypm+JHxrjAMqaV9sBaxZTbiuGAeC2yzz2mZeLvUzgUPgKA46zIK5J35IjoOOucdspMhIiIyA3FMqYAREuKiIjCjdks2RqgkfdZnpw9pnarAJsZLkt5A8+YBhaYSlvFqKFGkjbN6zUuGdMwCEyrampRWimuqpzTOrILH+UfOyY6bsP9pUREFEYUC0wdDofvQURECjJb6sQnZAamFrvvPabW2voxrsWPgrvH1N/CR6WSVjGJ2lRoVN73qFZI9pgmhEFgKl3Gq9Vo0DotVaHZhIe8o5KMabt2ykyEiIjIDS7lJSLywCJZyqvSygxMJZ+76d3EdZbqM4FpcDOm0qq88X7uMa2wlYqOE7W+gzlpxjQhUfnAVFr4KDu9FbQa/4pAtSRmkwmnT4or8jJjSkRE4YSBKRGRB1arNGMqL7CRU5XXXO2Aw2GHIIij2ID7mNrFga6/S3mr7OWi4zhNos9rpFV5wyNjKs785kR4/9KTx3Ndts9ksiIvERGFEcUC03vuuQc///wzLBbXnntEROHAbKkVHau08gJTq6Qqr7s9ppYa18JHQODtYlwypn4GppW2Msn1Sb6f0yVjqnxV3uOFksA0wgsfnTgqqcibmQljlPK9ZomIiM5QLDD94IMPcMUVVyAlJQXXXnst5s2bh6KiIqWmQ0TkwirZY6rWytuWLydjaqkW4LC6fjAXcMY0wMC02s+MqcPhQGW5eMlzQrLvXq+hJAgC8gqlrWIiO2MqDUyzub+UiIjCjOJVeWtqavDtt9/i22+/hVqtxqBBgzB27FhcddVV6N69u5LTI6IIZ5EEpiqZgam0Kq+7djGWGgF2SWsXtVYNrTGwt+VAq/L6u5S3pqoOdrv4BSvdx7SorBy1JrPoXKS3inEJTLm/lIiIwoxigemOHTvw3XffYenSpdi6dSsEQYDdbsfGjRuxceNGPPPMMzjnnHOcQeoFF1wATQQXriCipmezmkTHmkZmTN0u5XXXwzReD5VKXq9UT6SBaZyfxY8q/QxMKyTZUkD54kfSirzRRiNSEhMUmk14OHGMGVMiihx2ux179+7Fli1bsHXrVmzZsgW7du2C1Vr/e3fEiBFYuXKlrHvV1dVh06ZN2LBhA3bv3o2DBw8iLy8PlZWVEAQBCQkJ6NixI4YMGYJbb70V/fr1C+Era9kUC0x79+6N3r1745lnnsGpU6fw3Xff4bvvvsPvv/+Ourr6LMWRI0fw1ltv4a233kJCQgIuu+wyjB07FmPGjEFCQmT/kUFEoWeVBKZqrbwgzyLZY+p2Ka+bPaaBVuQFgEpJ8aMEfzOmtnLRsa89ptL9pdExRuj0ii7GcSl81LZ1RsABf3NmMZtwKj9fdI4ZUyJqqZYsWYIJEyagtrbW92AZ3n33Xfz973/3+PWioiIUFRVhw4YNeOONN3DTTTdhzpw5SE5ODsrzRxJl/3r4n/T0dNxxxx244447YDKZ8Pvvv+O7777D999/j4KCAgBAeXk5Fi1ahEWLFkGr1eL88893ZlPbt+cvWCIKPptVvBxUrZMZmMrJmNY4YHfJmAZW+AgIvI9ppV1c/MhXxjQcK/JKW8VE+v7Sk7nHXSryZrEiLxG1UOXl5UELSqWio6PRrVs3dOjQAYmJibDZbDhx4gQ2btyIyspKAMCiRYuwb98+rF27FvHx8SGZR0sVFoFpQ0ajEVdeeSWuvPJKAMDWrVuxdOlSfPfdd9i5cycAwGq1YuXKlVi5ciUee+wxdO3aFVdddRXGjh2LoUOHKjl9ImpBbBbpUl55gamsPabVAhySIDLQjKkgCKi0SdvF+LeU1989puWl4ReYSpfyRnpF3jzJ/tK01q1hjI5WaDZERE0jPT0dAwcOdP7vl19+wZtvvun3fTp16oSXXnoJl156Kfr06QOtm209JpMJs2fPxjPPPAOHw4Hdu3dj2rRpeOedd4LxUiJG2AWmUgMGDMCAAQPwwgsvIC8vz7nkd+XKlTCb67MZBw4cwIEDB/Dqq68iNTUVV1xxBcaOHYtLL70U0fzlS0SNJM2YanTyAkeLXVqV180Yt3tMA8uY1thtcED83P4v5fWvXUy4ZUytNhvyT4srvEd64aN8yf7SNueco9BMiIhC77LLLkNubi5ycnJE5zdt2tSo+1199dW4+uqrvY4xGo146qmnYLFY8PzzzwMA/vOf/+D111+H0Whs1PNGIsXaxTRGmzZtcO+99+Knn35CcXExvvzyS9x2221ISUmBIAgQBAFFRUWYP38+rr/+eqSmpmLMmDH44IMPlJ46ETVD0qW2WrmBqZx2MTUC7JKMaaCtYirtru1n4jTy7ykIgt8ZU2nxI6Ur8p48XQy7Q5yybpMR2Ut5pRnTrHYMTImo5crIyHAJSpvK5MmTnY+rqqpw6NAhRebRXDWrwLShmJgYZ//TU6dOYe3atXjiiSfQrVs3Z5BqMpnw888/47777lN6ukTUDNks0oypvIymdCmvzk1BcffFjwLLmEor8gJAnB9LeWsd1bBDXLkpXuNf8SPFK/JK+pemJCYgNjpKodmEB2ZMiYiaRlpamui4qqpKoZk0T802MG1IpVJh6NCh+L//+z/s3bsXf/31F9544w2MHDkSWq3WpegDEZEc0sBRKzMwlZUxrXa4bRcTCGlgGqvRQaOS/zYvzZYCMoofSQNThZfySivy5kR4ttRiNqNQUpE3i4EpEVFI7Nu3T3Tcjq25/NIiAlOpDh064OGHH8by5ctRVFSEzz//XOkpEVEzJF3Kq9PJ2yfi2i7GzZhQLOWV3C/QwkcqqBCj8V5R0CVjqnBgKq3IG+n7S08ePw5BsrQ5u207ZSZDRNSCWSwWPPXUU87joUOHonXr1grOqPlpkYFpQwkJCRg/frzS0yCiZsglY6qXtyTUJWMqqcprswiwW1zvH/hSXmlFXj9bxUgKH8VqEqD2kXGtCLPiR6zIK3bi6BHRcVpGBivyEhEFicViQW5uLj777DMMHjwYv/76KwAgLi4Ob7/9tsKza37CviovEZFSHFab6FjX2D2mktjOWlMfuDrskqW8cYFlTKskxY/8KXxUf3256NjX/lKzyQJTnSRLq2Dxo1qTCUVl5aJzkZ4xPXHsmOg4+xz2/SYKNofDgerK0PTNbAli46OhVrecXJhWq4Xdbvf49c6dO+Orr75Cz549m3BWLUPYBaYvvPBCQNer1WrEx8cjMTER3bp1Q58+faDXB/bHHhFFJsEmDkz1MjOmVknGVCfZY2o5E5hKl/ImBJYxrXBZyutnxtQuzpj6W5EXABKT4vx6zmCS7i9Vq9XISk/zMDoySDOm2dzvRBR01ZW1uPPal5SeRtj68OtnEK9wYbymoNFo8OSTT2LmzJlue52Sb2H3XZsxYwZUKtdCIY2l1+tx7bXX4rHHHkP//v2Ddl8iavkcNvEnojqdzKW8PvaYWqrrU6rSPayGAPeYVgUYmFbbykXHcdpEr+MrysTVBrU6DaJiAguuAyFdxpuZlgpdhP9xcOLoMdExM6ZERIG57777nBnTmpoa5OXlYfPmzaiqqsLLL7+MxYsX4+2338Zll12m8Eybn7D8jS2toqtSqbxW1vX2dbPZjIULF+KLL77A9OnTMX369KDOlYhaLkGyVEevl7c3z9ceU3P1mYxpsKvySveY+lf8yDVj6n0pb2WZOGOakBQb1A8W/cXCR2L1FXlPiM5ln9NOmckQEbUQb775psu5mpoavPvuu3juuedw6NAhXHHFFfjkk08wceJEBWbYfIVdYPr8888DACorKzFnzhxYLBYIgoCcnBwMGjQI2dnZiI2NRU1NDU6cOIHNmzcjNzcXAGA0GnHvvffCaDSitLQUu3btwqZNm2C322Gz2TBjxgzExsbikUceUfIlElEzIdjsaBhmyV3Ka5HsMXXJmNYIcDjsEBziwDfYfUwD3WMap0nwOr483HqYSlvFtI7sVjEFeXkuFXmzWJGXiCjoYmJi8MQTT6BTp0649tpr4XA4MHXqVAwfPhzt23OlilxhGZj++eefuOKKK2A2mzFw4EC8/vrrGD58uMdr1q5di8cffxybN2/Gt99+ix9//BGdOnUCAOTm5uKhhx7C0qVLIQgCpk+fjltuuQXp6ZH9BwsRyWAX/1GvN/gu7GN3CJAkTF33mFYLLtlSIAgZU0nxowS/q/KWi47jtT4ypmFUkVcQBBwvZEXehqT7S1PTMxAVo1xxKqKWKjY+Gh9+/YzS0whbsfGRUwl83LhxuPDCC7Fs2TKYTCbMmTMHr7/+utLTajbCLjCtra3FuHHjcOTIEYwZMwbffPMNdDrvy9HOP/98rFmzBtdeey1++OEHXHvttdi8eTOioqLQtm1bLFmyBNdccw2WLl2Kuro6fPzxx5g2bVoTvSIiarZs4sDUIGMprzRbCgB6jWRMTYgCU2nGNMA+pj6LH0kypkoWtyirrEJ1bZ3oXKQHpnlHj4qOs885R6GZELVsarU6Ior7kDwXX3wxli1bBgBYt26dwrNpXsKudvO8efOwf/9+GI1GzJs3z2dQeoZOp8PcuXNhNBqxb98+zJs3T/T12bNnQ6Op/+vwzA8LEZFXdmlg6vsPD+n+UgDQu1TldbhU5FVrVNBF+xdISkn3mPqbMfW3XYw0ME1UMGMq3V9q1OvRKilRmcmEiRMugWk7ZSZCRBRBkpLO/u4sKSlRcCbNT9gFpgsXLoRKpcKIESOQmprq17WpqakYNWoUBEHAggULRF9r164d+vXrB0EQcPDgwWBOmYhaKrs4yDTofS+DlFbkBdwEptWCm4q8hoALB0mr8vq/x9TPdjHSjGmScstEpRV522Skt6i+eY3hGphynxMRUagVFBQ4HycnJys4k+Yn7H5rHzp0CADQpk2bRl2fnZ0tuk9DXbt2BQCUlpY2cnZEFCksVhNUkuSn0eg7IyjtYQoAOnfFj6Q9TANcxgsE3se0yqVdjI+MablrVV6lSAPTSK/Ia7VYXCvytuNSXiKiUPv++++dj7t166bgTJqfsAtMy8rqP7FvbPB45roz92koNrb+j6YzS3qJiDwxmatczslbyut6zn1gGtwepjbBgVqHTXTO38DUtV1Motfx0oypklV5c1mRV+Tk8eMuFXmz27VTZjJERM1UTU0NTCaT7PHvvfcetm7d6jy+7rrrQjGtFivsAtNWrVpBEASsXLkSVqtrcRBvrFYrVq5c6byPVEVFBQD4vUSYiCKPu8A0yhDn8zppxlSvhssSXXdLeY0BtoqpclNMyZ8+pjbBhlqHOND0Fpja7XZUV9aKzimVMbXb7Thx6rToXKQXPjpxTLyMNyU9nRV5iYj89Ndff6Fjx4547bXXkJeX53FcYWEhHnnkEdx3333Oc8OHD8eVV17ZFNNsMcKuKu/QoUOxaNEilJaW4tlnn8Urr7wi+9rp06ejpKQEKpUKQ4YMcfn6gQMHAABpaWlBmy8RtUy15kqXc0Y5GVPJHlNpqxgAsFS7Fj8yxAW3Ii/gX8ZUWvio/nrPS3mrKmohCOIgXKnAtKC4BFabOFsc6RnTE0fErWLasCIvEUWQMWPG4OTJk6JzhQ1aim3duhV9+/Z1ue7HH39EZmam6Fx+fj6eeOIJPPHEE2jXrh169uyJ1NRUGAwGVFZW4sCBA9i1axfs9rN/AHTp0gWLFi0K7ouKAGEXmE6ePNn5H/L1119HdXU1Zs2ahfj4eI/XVFVVYdq0aZgzZ47z3B133CEaU1JSgt27d0OlUqFHjx6hmTwRtRhmS43LuaioBJ/XSavy6t2sS7HUCHDYpRnT4AamGqgQrZb/Fi/dXwp4z5hKl/GqVCrEJSjTq+64ZBlvYlwsEmIju3XDiWPHRMdZ3F9KRBFk3759yM3N9fj1mpoa7Ny50+W8xSL+XarT6aBWq+H439aIY8eO4Zjk/bUhtVqNKVOm4JVXXhFV5yV5wi4wvfjiizFhwgR8/vnnUKlUeP/99/Hpp5/iiiuuwODBg9GmTRtER0ejtrYWJ06cwKZNm/DDDz+guroagiBApVJh/PjxuOiii0T3/fzzz2Gz2aBSqTB69GiFXh0RNRcmk5ulvHrfS3mle0x1GnHGVBAEj1V5A1Fldy185E+VX2lFXr3KAKM6yuN4aeGj2PhoxfbvHy8UFz6K9GW8AHDiKDOmRESB6tGjBwoLC/Hbb79h/fr12LVrF44cOYKSkhJYrVbExcUhJSUFvXr1wrBhw3DzzTcjKytL6Wk3W2EXmALAJ598gtraWnzzzTdQqVSorq7G4sWLsXjxYrfjGy4nu+qqq1x6mAL1GdOJEycCAK6++uqQzJuIWg7pHlNBBWhlLI212r1nTO0WwGGDa1XehMAyptKKvHF+7C8FXJfy+i58JP7+JCQq2SqGhY8aqq/Imy86x4wpEUUSb1lNf6WlpeGWW27BLbfcErR7knthGZjqdDp89dVX+PjjjzFjxgzk5+e77GWSyszMxIwZM1yW8J4xc+bMUEyViFool6W8GnnZR9elvJLCRzX1X5dW5Q128SO/W8VIAlNv+0sBoLIsfFrF5LJVjEjhiRNw2MWbnbOZMSUiojAXloHpGVOmTMHtt9+On3/+GStXrsSOHTtQVFSE6upqxMbGIjU1FX379sXIkSNx2WWXtcg2MGazGZ9//jm++eYb7Nq1C6dOnYLRaER6ejp69eqFkSNHYsKECVzHThRkZrN4DyW08oqYS5fy6iVvS5bq+gH2IPcxdelhqvGzVYxNvJQ31s9WMfEKBaYmswWnSsTtxSJ9KW9JkbhCcXxiEqJZkZeIiMJcWAemQP0m4jFjxmDMmDFKT6XJrVmzBpMnT8ahQ4dE581mMyoqKvDnn3/iq6++Qs+ePTFy5EhlJknUQpktdeITGpmBqWQpr7Qqr6eMaaBVeaukgWmgGVON9w+7KsrFgWmiQoHpiVOnRCtqVCoV2qS7tguLJOXFJaLjxNQUhWZCREQkX9gHppHq559/xrhx42AymWA0GnH77bfjkksuQXZ2NgRBQG5uLtauXYtvvvlG6akStUgWyVJelcyMqVWaMZVcZqkOzVLeSrt0Ka9/e0wrJcWPfO8xlWRME5UJTHMl+0szUpNh0AcW5Dd3ZSXFouNk9u4mIqJmgIFpGMrLy8NNN90Ek8mETp064eeff0b79u1FYwYOHIjrr78es2fPhtVq9XAnImosq1WaMZW3VcBlj6lkb+qZwNS1Km9w28XE+ZsxlbSLidN6b40jzZgqtcf0uGR/aU5GZC/jBYDyEknGNIUZUyIiCn/yUgDUpB566CFUVlbCYDBg6dKlLkGplE7nX2aEiHwzW2pFxyqtvMDUZ8bUuZRXusc0wIyp5H4Jfgamlf4u5ZVkTJWqysvCR67KisUZ06QUZkyJiCj8hX3G1OFw4MCBAzh69CgqKyv9yg7edtttIZxZaBw9ehTffvstAGD8+PHo2rWrwjMiikxWyR5TtVbe26U0Y+q6x9QBweGA4BBXTQ20XYx0j2mcn8WPqv1oFyMIgmtV3mSlMqZsFSMlXcrLjCkRETUHYRuY5ubm4h//+Ae+/PJLVFW5Nrr3RaVSNcvAdNGiRXA46lMu48aNc543m804efIktFot0tPToY/wPVREoWaRBKYquYGpON6Ezs0eU2lFXgAwBJgxrbBLix/5ucdUUpU3zku7mLoaM6xWm+hcggJ7TCuqqlFRLc7cRnpFXsB1KS8zpkRE1ByEZWD67bffYsKECairq/PZv7Sl2bBhg/Nx3759sWfPHjz77LP48ccfndlio9GIUaNG4cknn8SIESOC9tynT59GUVGRX9dIKwYTtRQ2q0l0rJEZmFp97TGtEVwKHwGBt4sJdh9TbxlT6f5SQJniR8cLxdlSvVaLjAivQCsIgstSXlblJSKi5iDsAtMDBw7gpptugsVy9tP/Nm3aoGfPnkhOToZW5h+HzdWePXucj9etW4fJkyfDbDaLxphMJvz000/46aef8Pzzz2PGjBlBee45c+Zg5syZQbkXUXNnlQSmapkZSJc+pm4yptLAVKUC9DGB7RV36WMawnYx0v2lBqMexqimX8Uh3V+andEKGnVkl06ora6G1SL+WUhKTVNoNkRERPKFXZT3f//3f7BYLFCpVOjatSs+/PBDDB06VOlpNZnS0rON4qdMmQKLxYLHHnsMd999N9q2bYvTp09j4cKFeP7551FbW4uZM2eiXbt2mDRpknKTJmqBbFbxB0JqmUXGpH1M9W76mNoly24N8QaoVOJx/gqkj6kgCH61i5EGpkr1MHWpyMtlvCiTLOMFgMTkZAVmQkRE5J+w+2h5xYoVAIDo6Gj89ttvERWUAhDtpzWZTPjXv/6F119/HZ06dYJer0d2djYef/xxLFmyxPmH7NNPPw2TyeTplkTUCDaLdClv4zKmLntMaxxuepgGlm00OWywCOInjvej+JFJqINNkC4F9pwxrSwXFz6KT1KmIq80MGVFXqBcUvgoJi4OekNg+5eJiIiaQthlTE+fPg2VSoWLLroImZmZSk+nyUVFRaH6f8U8OnXqhAcffNDtuIsvvhhXXXUVvv32WxQWFmLZsmW44oorAnrue++9FzfccINf1xw6dAjXXHNNQM9LFI6kBYo0OnmBns89pm6W8ga7hyngX/GjKknhI8B7xrS8TFyQTonCR4IgIO/UadG5NhmsyMtWMURE1FyFXWCalpaG/Px8pKdH5h8YcXFxzsB0zJgxXpf3XXHFFc7WMps3bw44MG3VqhVatWoV0D2IWgqbVRzsaWUGptKqvNKlvOZqwbWHaUKgPUxdiynF+bGUV7q/FABiNQmen0+SMU1QYClvSXkFTGbx9zGHgSkLHxERUbMVdkt5O3fuDAAoKChQeCbKaNu2rfNxTk6O17ENv3769GkvI4nIX3arNGMqL3iU9jFtWPxIEIT6PabSpbxxwe1halRrYFBrZF8v3V8aq46HRuX5eukeUyUq8kqzpVEGA5IT4pt8HuGGrWKIiKi5CrvAdOLEiRAEAatXr0ZNTY3vC1qYnj17Oh/b7XYvI8Vfb+nViomamjQw1coOTMXHugZLeW1mQLDDJWMacA9Tyf3iNP5V+K2ylYuOY7WJ3p9PEpgqkTHNlwSm2elpAReQagmkxY8SU5gxJSKi5iHsAtPx48eja9euqKysxJNPPqn0dJrcqFGjnI//+usvr2Mb9hDNzs4O2ZyIIpHDZhMd63RGWde57DFt8C5rqXb8797BLX5UZQ+sh6k0Y+qtVQwQHoGpNGOalc5tCIBr8aOkVGZMiYioeQi7wFSn02Hp0qXIysrCe++9hylTpqBYsmemJbvqqqsQFRUFAFi6dKlLD9OGFi9e7Hw8cuTIUE+NKKJIix/JzZhavewxtdQI/7t3aIsfBdrD1FvhIwCoLFc+MM0/VSQ6bsPAFABQVsylvERE1DyF5frPjh074o8//sDdd9+NuXPnYsGCBRg+fDh69OiBhIQE2cu1nnvuuRDPNPhiY2Px8MMPY9asWTh16hQee+wxvPPOOy7j3nvvPaxbtw4AMHDgQAwePLipp0rUojls4ghTp4+SdZ10j6lOlDEV/ndvyZ7QAJfySgNTfwofAa6BqbdWMVaLDTXV4lY6CYlN2y6mviLvKdG5bAamAFj8iIiImq+wDEyB+mWsFRUVAOr7ef7+++/4/fff/bpHcwxMAWDatGn47rvvsGfPHrz77rs4fPgw7rrrLrRr1w6nT5/GggUL8J///AcAEBMTgw8//FDhGRO1PIJVnNWUu5TXpfiRxjVjGup2MQn+LuWVtIvxljGtrHDd+9/UGdPK6hpU19aJzjEwBUy1tTDV1YrOMWNKRETNRVgGpvPmzcOdd94Jh8MBlUoFQRAgCILvCxtozkUwYmNj8csvv2DcuHHYvHkzfv75Z/z8888u49LT0/Hll1+iT58+CsySqGWTZkz1+mhZ11mlxY8aZkw9LOWNCnbG1M/iR9V+LOWV7i9Vq9WIiZOXTQ4W6f5SvVaLtGTv+2IjgbTwEQAksfgRERE1E2EXmG7cuBFTpkxxBqIajQZDhw5Fr169kJSUFDHVZzMzM7F+/Xp89tlnWLhwIXbu3Ini4mLExcWhW7duGDt2LO655x7Ex7M9AlEoCHZpYOo7+HIIgktgKtpjeqb4kT3IGVPJ/fzOmAYQmCYkxUCtbtpyBScky3gzW6VB08RzCEdlksJHxqhoGKPlfaBCRESktLCL8l5//XUIggCVSoXzzz8fn376qc9+ni2VRqPBxIkTMXHiRKWnQhRxBJsdDdddyMmYSoNSANA3aAfq3GNqDe4eU2kfU7/3mEraxcR5aRcTDj1MT0gKH3EZb71yaeEjVuQlIqJmJOwC07Vr1wIAEhMTsXTpUiQkJCg8IyKKSHZxlKnT+Q5MpftLAQ9VeYOcMZX2MQ1lu5iKMKjIe8JND1NyzZgmsfARERE1I2EXmJaXl0OlUuHCCy9kUEpEyrGJA1Oj0XflWYvd9ZxeUpVXcDgg2MU9UgPuY9qE7WJclvI2cUVewF1gmt7kcwhHLhV5WfiIiCLUsWPH8Ntvv2HVqlXYvXs3jh8/jurqasTFxSE7OxtDhgzBLbfcghEjRsi+58mTJ7FlyxZs2bIFW7duxZYtW1BaWur8+tGjR9GuXbsQvJrIEXaBaatWrZCfn4/k5GSlp0JEkUySMTXofWcGrW4ypjpJVV7p/lIAMARa/Ehyz3g/ix9VSaryemsXU+myxzTOr+cKVE1dHcoqq0Tn2mRwKS8AlJdIe5gyY0pEkWX79u2YOnUqNm/e7PbrZWVlKCsrw+7du/Hvf/8bI0eOxPz5831uG8zMzERBQUEopkwNhF1g2rNnT+Tn5+P48eNKT4WIIpldHGQa9L4zg+72mEqr8kor8gKBZ0wD6WNqF+yodlSKr/eWMS0Xt4uJT2rajKk0W6pRq5HBJasAXJfyJjIwJaIIc/DgQZegtHPnzujZsydSU1NRXl6O9evX48SJEwCAlStXYsiQIVizZg3at2/v8b4MSptG2AWmt956K37++WesWrUKxcXFSGXxBiJqYharCSpJ8tNo9J0xle4x1aoAjUpcldchCSJVKkAf2/jAVBAEVNkaX5W32l7hcs7rHlNJxjSxifeY5hWKA9PWaanQajQeRkcWFj8iIqrXsWNH3HHHHbj11luRlZUl+prD4cC8efPwwAMPoLa2FidPnsSECROwfv16r+0mjUYj+vbti4EDB2LgwIFIT0/HpZdeGuqXElHCLjC9+eab8fHHH2PFihW4++678eWXXzbrnqRE1PyYzFUu5+Qs5ZXuMdVJOphYagQ4JEGkIU4Ptbrx73E1dhscEAfE8Vr5S3ml+0sB7xnTynJlq/LmnxZX5M1qxcJHZ7gWP2JgSkSRpXXr1pg7dy7+9re/QePhQ0u1Wo3JkycjKSkJ1157LYD6dpW//vqrx0Bz27Zt6NWrl6ht5bFjx4I+/0gXdo3fVCoVFi9ejOHDh2PJkiW4+OKLsXv3bqWnRUQRxF1gGmXwvZdSmjHVa8QBZ/1SXnHGNND9pdKKvIB/xY+kgalWpYNR7b4CscPhQEWZeClvU1flzSsU9zDl/tJ6FrMZNVXin1sWPyKiSDNixAhMmjTJY1Da0Lhx4zBo0CDn8Q8//OBxbL9+/URBKYVG2H2HJ0+eDADIycmBXq/HihUr0LdvX3To0AE9e/ZEQkKCrAyqSqXCxx9/HOrpElELVGuudDlnlFX8SHzcMGMqCAIs1a4Z04Ar8tpdA9NYP4ofVUoKH8VpEj2+x9ZU1cHhEL/Ipg5MXSrytmJgCrgWPgJY/IiIyJdhw4Y596QyA6q8sAtM582b5/JHkSAIOHz4MA4fPuzXvRiYElFjmC01Lueiony3r7JICiY17GFqqwMEB1yX8ga5h2msRgeNSv5imEBaxQBAfELTFT8ymS0oKisXnctmxhSA6zJenV6P6Nim7zFLRNScNIw57HY3Pd+oSYVdYArUB6JyznnDfalE1Fgmk5ulvHo5S3nFx6IepjX1X5Qu5TXGBbaUN9AeppV2SasYb4WPJBV5Y2KN0Omb7teIdH+pSqVCZhr3mALuCx/x9yARkXcNtwu2adNGwZkQEIaB6dy5c5WeAhFFOGnGVFABWhkBn3SPqaiHaXX914KdMa2U3M+fwkcAUG0rFx3HaRM9jpVmTJu68JF0GW+r5CQY9P693paKrWKIlONwCKgtqVN6GmErOiUqoCJ/oXL8+HEsX77ceXzRRRcpOBsCwjAwnThxotJTIKII51L8SCPvF6pVsgqo4VJeS437wNSYEFjG1KWHqSawjGmcH61iFN9fms5lvGdI95gmsfARUZOpLanDCxlzlJ5G2Hqu8F7EprkvqqekRx991Ll8NycnB2PHjlV4RhR2VXmJiJRmsdaKT2jlvVW6VOUVLeX9X2BqD27xo0pJ8SN/epgC7vaYet5Ly8A0fLFVDBGRfPPnz8dXX33lPJ41axYMhsA+KKbAMTAlIpIwmSTFjzRyA1Pxsd7NUl67VdouJsCqvNKMqb97TCVLeeO1njOm0h6mDEzDhzRjyqW8RETubd26FVOnTnUe33zzzbjlllsUnBGdwcCUiEjCKsmYqmRmTK3SPaZuih+5ZkyD28fU3z2mgVTljU9suoq8VpsNhZICP9npLHx0RmmxJGPKpbxERC6OHv1/9u47Pqoy6wP4707PpEMogdAjSl2RJiKCBV1REEFXARVcxbWjvu6qa0PdVdddV+zgWgALu8qqoCiLFFGQjnSlQ+ghfVKm3vv+ETLJfe4kM5OZycxkft/340vunTt3nkA2yZlznnMOYvTo0bDb7QCAvn37YubMmVFeFdWIuT2mRETR5nQKpbwBDOoGAGcDe0wdNRlTIZA0p4aaMRWaHwW5x1QMTBvuyqsOTDMy/XcqDpcTpwsgC93ZmTGtJXblzchixpSoqVhbJuGpk3dHexkxy9oyKdpLAACcOHECI0eOxMmTJwEAXbt2xeLFi5GWlhbllVGNqASmY8eOxYsvvohzzjmnSV7v119/xaOPPoovv/yySV6PiOKb06nurigZAgtMG8yY1tOVN9Q9ptqMabCBqdj8KKP+14pixvSIUMbbMiMdVoulyV4/lrndbpSVqP8dmTElajo6nRSTzX2oVmFhIUaOHIn9+/cDALKzs7F06VJkZ2dHeWVUV1RKeRcuXIi+ffvipptuwrZt2yL2Olu3bsXEiRPRt29ffPXVVxF7HSJqXsSMqS7QjKnY/EgfQFfeEEt5bZ4QA9OgxsWo996mt2i6PabHxP2lrVnGW6O0qEhzLpN7TImIAABlZWW44oorsHPnTgBAVlYWli5dii5dukR5ZSSKSmDarl07uN1uzJs3D/369cNFF12EDz/8EDabdqh9sGw2G+bOnYthw4bhvPPOw3/+8x+43W60b98+DCsnokSgyZgaA9u3qS3lrfOYNzBVB5Khj4sJbY6pOC6mvlJee5UTDrvQAbgJ55iKGVOW8dYSO/LqDQakpNffXZmIKFFUVFRg1KhR2LRpEwAgPT0dixcvRs+ePaO8MvIlKqW8u3fvxnPPPYdXX30VDocDq1evxurVq2EymTBixAhccsklGDZsGPr06YPk5IZLxSoqKrBt2zasWrUKy5cvx/fffw+ns/qXJ0VRYDab8cADD+CJJ55oik+NiJoBt8uuOtYFWMorZkyNdfaYuipkKIoM2eNWXRNqV95Q5pg6ZDucikN1LqWeUl6xIy/QtF15j546rTpmYFpLs7+0ZUvodOxtSESJzW63Y8yYMVi9ejUAwGq1YtGiRejfv3+UV0b1iUpgmpycjBdffBH33nsvnnnmGXz44YdwOp1wOBxYsmQJlixZAgCQJAnt2rVDTk4OWrZsCavVCkVRUFVVhYKCAhw9ehQnTpyAUqchRs3HJpMJkydPxpNPPomcnJxofJpEFKdcQmCqD7A81qUZF1P7sbNC0ZTxAmGYY+pu/BxTMVsK1D8uRmx8ZDQakGRtmplvHo8Hx/OFwLQtA9MaxQXqvxuW8RJRonO5XBg/fjyWL18OADCbzViwYAGGDh0a5ZVRQ6LalTcnJwf/+te/8Nxzz+HNN9/E7NmzcezYMe/jiqLg2LFjqnMiRejS2L59e9x66624++670bZt24itnYiaL7dLnUXUGQL7VqnZY1onY+qs9B2YmkPYY+pWZFTK6gxsMHNMxf2lAJCi910CWlokND7KTIYkST6vDbdTRcVwe9R10jmtGZjWKNbMMGXjIyJKXB6PBxMnTsQ333wDADAYDPj0009x2WWXRXll5E9MjItp27YtnnvuOTz77LNYuXIlvvrqK3z33XfYtWsXZFlu8Lk6nQ49e/bEyJEjMXr0aAwfPrzJflkioubJ7RQypsbAgr2G9pi6KhR4fAWmKcHtCa1LzJYCwe0xFTOmVl0KjJLv55eWCI2PmrSMV72/NC0lGWkpTdcRONaVCIEpM6ZElKgURcFtt92G+fPnA6iOEz788EOMGTMmyiujQMREYFpDkiSMGDECI0aMAFC9f3THjh04ePAgTp06hYqK6l+MkpOT0bZtW3Tp0gW9evXyuw+ViCgY4qzRgANTcY+pXsyYqu9rSjFCp2/8XkBxhikQXCmvOMM0mFExTdn46OhJdWDagftLVcTmRxkMTIkoQb399tuYM2eO97hbt25YtWoVVq1aFdDz33jjDZ/nZ86ciZkzZ6rO1fS0qTFq1CiYTOqfwXfeeSfuvPPOgF6bYiwwFSUnJ2Pw4MEYPHhwtJdCRAnE7VL/sDEEGJhq9pieiTk9LgWyK/yjYsSMqR4SknSBf1svFwLT+vaXAtrmR02aMc1XB6btGZiqiM2PMrNYyktEiSlf+Hmxd+9e7N27N+Dn1xeYnjx5Elu3bm3wub/88ovP51Hg2LaPiEjgcYkZ08ACSFc9e0xrRsV4PEJgmh7exkdpBlNQWxnK3OpS3vo68gJACTOmMUvMmDIwJSKieMTAlIhIIAamhgAD0/r2mLq8M0zDnDH1aAPTYARTylsmBqZNlDGVZRnHhI68zJjWkj0elBQVqc6x+RERJarp06dDUZRG/xfu+06fPr3pPvlmgIEpEZFAdqs73RqNloCeV98cU6c3MFUHkubUMM8wDaLxEaBtfpSmr7+UV9xjmpbZNHv7C0pKYRf28TBjWquspASK0CSQzY+IiCgeMTAlIhKIzY8CzpjWM8fUVXmmlFeTMQ01MFXfL5jGR4B2XEyqwfeoGMBXV97UoF6rsY4JHXmtFjMy05rmteOBWMYr6XRIz6z/DQYiIqJYxcCUiEggu9U1uUZTUkDPc3nqyZhWymfuK2RMQyzltYkZU31wgWmZ2Pyonoypx+NBeVml6lx6RtNkTI8IgWlOm9YcCVaH2PgoPTMTOr0+SqshIiJqPAamREQCxaXORAZSyqsoijZjqinlDW/GtFTT/Ci4Ul6xK299e0xtpZWavTdNtcf02Cn1/tKcNm2a5HXjBUfFEBFRc8HAlIhIIHvUGVOTyer3OW4FENsmeEt5K3yX8ppDDExtQpffYJsfiV15U+sZFyN25JUkCanp/v9OwkGbMW3VJK8bL4oL1RnTFuzIS0REcYqBKRGRQHGLgan/Ul6xIy9QJ2Na6bv5kSU9vHNMI9WVV+zIm5puhb4JykUVRcHRU6dU53LY+EiluEDMmDIwJSKi+MTAlIhI1IiMqTjDFACM/sbFpIY3MA12j6kYmNa3x1TTkbeJZpiW2MpRUWVXnWNgqlYizjBlKS8REcUpBqZERALFrd4sajT6D0zF/aUAYNKrM6Zit99QS3nFOabBdOWVFTngjGlpiTowzWii/aVHhTJek9GIVpkZTfLa8aJYaH6UwVJeIiKKUwxMiYhEHnWUabH470DrK2Nq8pcxDXlcTOPnmFbINijCrthUQ4bv1ylWj4pJa6KOvGJg2r51K+h0/LFVV4mwx5QZUyIiilf8CU9EJBIypqZAMqbCHlMdgDMJ0zp7TMXANNRS3sbPMbUJjY+A+kt5xeZHTdWRVwxMO7CMV0VRFJQUCRlT7jElIqI4xcCUiEgkzCO1mFP9PsUpZEyNenjnbTorFCiKAtkTvq68iqJo55gGE5gKZbx66GHV+Q44y0piIzDNacvAtK7ysjK4hdFGmSzlJSKiOBVzgemAAQMwa9Ys2Gy2aC+FiBKQ02WHJFTlmk3Bl/Iaz3TkBQBXpTYoBUIr5bXLHjgVdWY3LYjmR2UeYVSMPsMbSIui1fxIE5i2ZmBalzjDFAAyWrSIwkqIiIhCF3OB6ebNm3H33XcjOzsbt956K1atWhXtJRFRArE7tG+KWSwBZEyFUl5Tne+urkpZU8YLhDYuxiY0PgKCGxdjc5eojuvbXwpEp/mRraISJTb16zJjqlZ8Wh2YpmZkwGAMfJ8xERFRLIm5wBSoLlGrrKzE3LlzMXz4cPTo0QMvv/wyTp8+He2lEVEz5yswDSRjKpbymupkTJ0Vis/A1Jza+IypuL8UANKCaH6kzZj63l+qKIo2Y5oZ+eZHx/LV2VKDXo+2LZkNrIujYoiIqDmJucD0vffew9ChQwFU/0KkKAr27NmDP/3pT+jQoQOuv/56LF68OMqrJKLmqtJRpjlnNaf5fZ44Lsakr/5T9ihw27WjYkzJRuj0jf8WLHbktej0MOn0AT8/0FExVRUOuF3qdHB6pv8McqiOnFQHptmtsqDXB/75JYLiQjY+IiKi5iPmAtNbb70VP/74I3799Vc8/PDDaNOmjTdAdTqd+Pzzz3HVVVehU6dOeOaZZ5CXlxftJRNRM+JwVmjOJSWl+32epvnRmYypq56OvCHPMBUC02DKeAFtYJpmqK8jrzaDnN4E42KOChnTnDatIv6a8YajYoiIqDmJucC0Rvfu3fHSSy/h6NGj+Pzzz3H11VdDr9d7g9SjR4/i2WefRdeuXXHFFVdg/vz5cLvd0V42EcU5u10biCWZ/GcIXfXsMXV6Z5gKGc4QR8XYhGZKqfrg9haWucVSXt/Bd1mJOlC3JJlgtoQWVAfi6EkxMOX+UpHY/CiDgSkREcWxmA1Ma+j1eowdOxYLFy5EXl4e/vrXvyI3N9cboMqyjKVLl+KGG25Au3bt8PDDD+OXX36J9rKJKE6JGVNFAgwBZCM1e0z16oypRzPDNLTgrlQIdIOZYQoA5Z5S1XF9pbzi/tL0purIm6/uKdChTZsmed14UlIgZEyzmFUmIqL4FfOBaV3Z2dl47LHHsGfPHnz//fe46aabkJSU5A1SCwoK8Morr6B3794YOnQoZs+ejcrKymgvm4jiiKb5kd73CBWRZo+pJmMa3lLeUGaYAoE3P9IEpk3QkbfK4UBBcYnqXHuW8moUFwjNj7KYMSUiovgVV4FpXRdddBHmzp2LEydO4O2330bv3r0B1DZMWrt2LW677Ta0a9cO9913H/bs2RPlFRNRPHC6hDezDIF9m6xvjmntHtPwlvKKGdOg95gGOC5G25E38oHpMSFbqpMktGvFxj51KYrCUl4iImpW4jYwrbFjxw6sX78eBw8ehCRJ3v9qAtSysjK89dZb6NWrF+644w6Ulpb6vykRJSy7XWh+FGDn3PrmmNZkTMNdyitmTIMNTMWMaVp9GdOSps+YivtLW7dsARPnc6pUVVTA6XCozmWyKy8REcUxQ7QX0BinT5/GnDlz8P7772P37t3e84pS/Qvgueeei3HjxmH58uVYuXIlFEWBx+PBe++9h1WrVuGnn35CRkZGlFZPRLHMJWRMpUZmTGv2mNbX/MgcYsa0TGh+lBZk86NAx8Vo95hGviPvkVPqwLQDGx9piNlSgKW8REQU3+ImY6ooChYtWoRx48YhJycHjzzyCHbv3u3NjCYnJ+P222/H+vXrsXnzZjzxxBNYvnw59u7di/vvvx8mkwmKomD37t147rnnov3pEFGMcjqFUt4AZ2eKe0yNZ7671jcuJtSMqTguJtg9pjahK29942LErrxNkTE9JgSm7RmYahQLjY+sKSkwmS1RWg0REVHoYj4w3b9/Px5//HF06NABY8aMwYIFC+ByubwBaf/+/TFr1iycOHEC77zzDgYMGKB6fteuXTFjxgysWrUKxjOlYF9++WUUPhMiigdOZ5XqWDIEGJh6hIzpmT2mzsrqiNWjyZiGNzANpiuvU3bArqg/z4Azpk0QmDJj6l9Jodj4iGW8REQU32KylNdut2P+/Pl477338MMPP3jP15TqpqamYuLEibjjjjvQr1+/gO45YMAAXHnllVi4cCGOHj0akXUTUfwTM6a6RmdMzzQ/qtlj6lIHkkkZoWW3QunKK46KARrYY9rEganT5UJ+YZHqXA478mpoOvKy8RERkdehQ4fw3XffYeXKldi+fTvy8vJQXl6O1NRU5OTkYMiQIZg4cSKGDx8e0P0qKiqwYsUKLFu2DJs3b8aePXtQVFQEg8GArKws9OvXD1deeSVuuukmJCdHfstLcxVzgeldd92Ff//73ygrKwNQG4wCwKBBg3DHHXfgxhtvhNVqDfrenTp1AgC43e7wLJaImh2Xy646lgJsuqPdY1r9Z+0eU3WjGmtmaIGpZo6pPvDAVGx8BAAp+nTNOZfTjcoK9d9HWoTnmB4/XQBZUf9dtm/NjKmouFBdypvBxkdERPj5559x5513Yv369T4fLy4uRnFxMbZv34533nkHI0aMwJw5c9CxY8d673nTTTfhiy++8DmC0ul0Ii8vD3l5eViwYAGeeOIJzJo1C+PGjQvb55RIYi4wnTVrlrerLgCkp6dj0qRJuOOOO9C3b9+Q7q3TxXzlMhFFmUso5dUFXMqrPjYJ42I0GdMQA1Ob0Pwo1RB48yOx8ZFFSoJJp23GJHbkBSLf/OjYKfWomKzMDCRZQmsU1RxpSnmZMSUiwu7duzVBaffu3dG7d29kZWWhpKQEP/30k7d68vvvv8eQIUPw448/omvXrj7vOX/+fDjqdEHPzMzEoEGD0K5dOyiKgl9++QXr16+HoigoKCjA+PHj8fbbb+POO++M3CfaTMVcYApUZ0mHDBmCO+64A7/73e+QlJQUlvs+9dRTeOCBB8JyLyJqntwudWZTH2CJrFPMmNaMi6ms3g8v7jFNymx8sCUrimaPaTDjYsqExkepATY+0ut1SE4Nz/fj+hw5dUp1nNOaZby+iM2PMrjHlIjIKzc3F7fffjtuuukmtG/fXvWYLMuYPXs27rvvPlRWVuL48eOYNGkSfvrpJ0iS5PN+VqsVEyZMwO9//3ucf/75mmTXzp07cdNNN2HLli0AgHvvvRdDhw5Fnz59IvL5NVcxF5jef//9mDp1Knr16hX2e2dmZiIz0/cvYEREgLaUV2cI7NukGJga9bV7TGWPCxDKU0PJmFZ4XFCEc8EEpgGPiimyqV8jIznilSdHhYxpTluW8frCjCkRkVZ2djY++OAD3HzzzdDX0yNCp9Ph97//PTIzM70lt2vXrsWSJUtwxRVXaK6/77778PDDD6NNmzb1vm6vXr2wfPly9OvXD4cPH4bH48Hzzz+PefPmhecTSxAxV9s6Y8aMiASlRESB0GRMjYEFfC5NKW/1n84KRVPGC4QWmJYJo2cAIC2IUl5xj2m9jY+iMCrmqNCRN4f7S33iHlMiIq3hw4djypQp9QaldV177bUYNGiQ93jRokU+r/v73//eYFBaIzMzE4888oj3+JtvvglgxVRXzGVMn332WQDVjY5++9vfBv38pUuX4qeffgJQXbpLRBQMT2MDU00pb824GAWycE9JAsypjR8XI5bxAkCKPog9pu4S1XGqIcPndWJH3kg3PvJ4PDhxWp0J7MCMqYa9qgpVFeo3DTguhogoeEOHDvXuST106FBY7lejrKwMRUVFaNGiRcj3TRQxF5hOnz4dkiThnnvuaVRg+r///Q8vv/wyJEliYEpEQXML2U1DgIGpOC7GpAcUWYGrUru/1JJhgU7nex9LIMo8wqgYvRF6KfACGFvAGdOmHRVzsrAIbo869cyOvFpiGS/AUl4iosaou6fUI/z8CfV+4bpnIom5Ul4iomgSy24b2/zIqJPgsiuA4qsjb2hdZkOZYQpo95j6GhUD+JhhGuGM6dGT6jLejNQUpCYHPxqsuRMbH5mTkpDEuXlEREHbvn279+MOHTqE9X5JSUnIYjVLUGIuYxqqmjEz9XXVIiJqiBhEGkyB7QV1CRlTo67uqBh1KW+oo2LEGabB7C8FAJunVHh+PV15xcA0whnTo/nC/tI2zJb6wsZHRLFFVmSUuAv9X5igMgwtoQuiqqep5OXlYfny5d7jyy67LOR7zp492/vxJZdcwngkSM0uMC0pKQFQ3daZiChYstutOjYYA8tuOj3aPabOMuXMPdWBpDUjxBmmQvOjNH1wGVPNuJh6uvKWaALTyGblxIwpA1Pf2PiIKLaUuAtx6Tb/zXES1bK+p9DCGHujvx566CFvqW3Hjh0xevTokO739ddf47vvvvMe33PPPSHdLxHF3tsXIXC5XPj+++8BQDOziIgoEOJ+UKMxsCDS1x5TV0V9GdPQSnnFPabBjIoBAh8XI84xZcY0NpQIgSkzpkREwZkzZw7++9//eo9feOEFmM2N/9l84sQJ3HHHHd7jkSNH4sorrwxpjYkoqhnTuXPn1vvYr7/+2uDjdblcLhw7dgwLFizAgQMHIEkSBg8eHK5lElECkd3qRgVGU5Lf53hkBULCtDpjWlEdrWr3mIaWMRW78gYfmPpvfiTLsiYwjWRXXlmWtTNMGZj6VFwglPJyDxMRUcA2btyIO++803s8YcIETJw4sdH3czqduO6663DixAkAQMuWLVUlvRS4qAamU6ZM8Vl7rSgKli1bhmXLljXqvpIk4Q9/+EOoyyOiBKS41GWygWRMxf2lQPUe00rvHlMhMM0IMWMaamAawLiYclsVZFn9iWVEMGNaUFIKp/B3z8DUNzEwzWBgSkQUkIMHD2L06NGw2+0AgL59+2LmzJmNvp+iKJg8ebJ3VKXRaMS8efPQrl27sKw30UR9j2lNs6JAz/uTlJSEf/7znxgyZEgoyyKiBCULrd1NJv/71cWOvABg0ksorazZYxre5kdiYJoaxAxTRVE0pby+MqZi4yMASMuI3B7TIydPqY6TkyzISI1s6XC8EveYspSXKLoyDC2xrO8p/xcmqAxDbHyPOnHiBEaOHImTJ08CALp27YrFixcjLS2t0fe899578e9//xsAoNPpMGfOHIwcOTIs601EUQ1MJ0+erDk3Z84cSJKEs88+O6ByXEmSYLFY0LJlS/Tu3RtXXnllSF9gRJTYFLcYmPov5RX3lwKASVd3j6mYMQ01MFVnFtODyJhWyuXwQP05+tpjKjY+Sk5NgsEYuR8ZR0+J+0vbsJthPcSuvBkMTImiSifpYrK5D9UqLCzEyJEjsX//fgBAdnY2li5diuzs7Ebf87HHHsNbb73lPX7zzTcxYcKEkNeayKIamH7wwQeac3PmzAFQ3bL5tddea+olEVGia0TG1OUrY6qT4KwJTN1hnmPqafwc0zJhf2n1831kTMXGR5GeYSrsL+3AMl6fXE4nysvKVOcy2ZWXiKheZWVluOKKK7Bz504AQFZWFpYuXYouXbo0+p5//etf8eKLL3qP//a3v6n2rVLjRL2UV9SxY0dIkoSWfAeYiKJAccuom6czGgMo5fVozxl1gDMG55iK+0slSEjWpWpfo9imOo54R95T6jK49m2YffClpEg7KzEziz8viYh8qaiowKhRo7Bp0yYAQHp6OhYvXoyePXs2+p4zZszAE0884T1+4okn8Kc//SnktVIMBqaHDh2K9hKIKJF51HW5Fov/fZXiHlOjrnqbgatChqIoYe/Kq5ljGkTG1NeoGF+Dz0uLxY68kdtfqigKM6YBKi5QB6ZGkwnJqdy+QkQkstvtGDNmDFavXg0AsFqtWLRoEfr379/oe77zzjt48MEHvcfTpk3Dc889F/JaqVqzmmNKRBQytzowNQWQMRW78hrPfGd1VipQPG5AUV9gDfe4GH3jS3nrm2FaKuwxjWTGtLjMhsozHRJrtGdg6pOmI2/LltyLS0QkcLlcGD9+PJYvXw4AMJvNWLBgAYYOHdroe3700Ueqct3bbrsNr7zySshrpVoMTImI6hIGklrM2jJXkVN4jklXHSi4KhXN/lIAsIQwLsYly6iU3apzoWZMfSkrabrAVGx8ZDGZkJWRHrHXi2di4yN25CUiUvN4PJg4cSK++eYbAIDBYMCnn36Kyy67rNH3/PzzzzFlyhTv1JAJEybgnXfe4RuDYRaVUt68vDzVcceOHet9LBR170tE5I/b7YQk9DEymwIp5VUf1wSmzgptGS8Q2hxTsfEREGRg6lZnTNN8ND4CtF15I9n8SAxM27duBZ2O75v6Io6KyWDjIyIiL0VRcNttt2H+/PkAqke4fPjhhxgzZkyj77l48WJMmDABnjPNEa+55hrMnTuXP6ciICqBaefOnb3vMEiSBLfb7fOxUIj3JSLyp8pp05yzWALImIp7TPXVf7oqFHiEGaaWNBN0+sb/MBPLeIEgmx8JGdOUGMyY5rRlGW99mDElIqrf22+/7Z3wAQDdunXDqlWrsGrVqoCe/8Ybb6iOCwoKMG7cODid1T979Xo9WrVqhQceeCCg+918880Bjb+kalFtflSTDg/2sUR26NAh9OnTB+Xl1b80durUiQ2jiMKkqqpUcy6QjKlL6MrrzZhWKpDD3PhInGFqkCQk6QL/Vi7uMU0LcI9pWmbkmh9pZ5gyMK2P2PwoI4sZUyKiGvn56p8ne/fuxd69ewN+vhiYlpeXo6qqynvs8Xjw7rvvBny/AQMGMDANQlQC05qRMME+luhqyhNqglIiCi+7U/u/LavZf8dTMWNq0lX/79VVqYR9VIxNyJim6k1Bfc+0udXBd6ohQ3ONvcoJh10dAGdEMGN6hIFpwJgxJSKi5ioqgWlDGT5m/+o3c+ZMLF++HG3atMEpYeYfEYWuyuGjlDeQ5kdiYKqX4HECshs+RsU0fn8pAJR6xBmmge8vBXxlTLV7TMVsKQCkRWiPaaXdjrJy9Wia9q05w7Q+YlfeTGZMiYi8pk+fjunTp4ftfp07d2YVZxPirt04cfjwYe/w3tdffz3KqyFqnhw+MqaBdeVVHxt11Y2PAGi68iZlhDdjGmxgGkhX3lJhf6nRZECSNbSAuj4FxSWac60ytWsiwON2o6ykRHWOzY+IiKi5YGAaJ2pKeMeOHYvrr78+2sshapbsdnVApkiAyeg/kHRpSnkluCqrz8liKW8IHXkB7R7TYBofAUC5EJj66sqrmWGakRKxLRanhcA0IzUFJmNwn1OiKC0u0rxzn5nFUl4iImoeGJjGgVmzZmHZsmXIyMjAW2+9Fe3lEDVbdrGUVx9YMOYSx8XoAWdF9UlNxjTk5kfaPabBPV9dyuurK2+ZGJhGcH+pGJgyW1o/sfGRXq9HanpGdBZDREQUZgxMY1xeXh7++Mc/AgD+/ve/Izs7O8orImq+nK5K9YkAx7pomx/VZky1e0zDG5imR6CUVzPDNIIdecVS3iwGpvUSGx+lt2jBOXpERNRsRHVcDPk3depU2Gw2XHLJJbj99tsj+lr5+fk4ffp0UM/Zt29fhFZD1PTsdnUTHhgCDUzVx0Yd4LTVBKZiV97QSnltHnUpb2oQpbwuxYVKWRgD46P5kXaGqf99to2lzZhq10PViguFUTHcX0pERM1IVALTrl27Rvw1JEnC/v37I/46kfTuu+9iyZIlsFqteOeddyL+em+99RaeeeaZiL8OUaxyNTZj6lFnTI2qPabhbX5UGkLGtNyjndPqa1xMaYk6QE/LiGDGVGjmk5WRHrHXindiR94W7MhLRETNSNTGxURyVqmiKHE/C/Xo0aP4v//7PwDAs88+i27dukV5RUTNn9OpDkwlgz6g5/neY1rTlVedMbWGe45pEIGpuL8UCGxcTJPuMW3BjGl9ioVS3gzOMCUiomYkaqW8nAnUsKlTp6KsrAwDBw7EAw88EO3lECUEp7NKdRxoYOprj6k3MA3zHlMxY5oWRPMjsSOvSTLDrNOup6maH7k9HhSXlqnOZWVkROS1moMSoflRBjOmRETUjEQlMD148GA0XjZuvP/++1i8eDGMRiPee+896PWB/XIcqrvvvjvoUTT79u3D2LFjI7MgoiYmZkx1Af5vT5xjatIBrkoFsscNRVY/aAlxXIzN0/g5pmUedcbUV7YU0GZM0zIiE5gWlZZBFt6kbJXJUt76iHtMM5kxJSKiZiQqgWmnTp2i8bJx4dixY3jooYcAAI888gj69OnTZK/dunVrtG7duslejyjWuFx21bEU4DxNMWNas8dUFrKbAGANsflRKHNMbe4S1bGv/aUejwe2MnWAnhGhjKlYxmsxmZBitUbktZoDsSsvA1MiImpO2JU3xrz22msoLS2F1WpFbm4u/v3vfzd4fUVFhfea5ORkjB49uimWSdQsuYRSXl2Ie0zFMl4gtFJeRVG0c0yDyJhqR8X46shboTkXqeZHvkbFxHt/gEiRZRmlRUWqc+zKS0REzQkD0xjjcFQ3SqmsrMSUKVP8Xl9QUIAJEyYAqM5EMzAlajy3MNpFH2DQJ3blrdljKo6KMSUboTc2vjTfLnvgUtRRcDBdecVSXl8zTMWOvJIkIS09MoGpdlSMdj1UzVZaAo9HXRaemcWMKRERNR+czE1EdIZYyqszBPbenSZjqpPgqpThcYe38ZG4vxQAUoNofqTNmGZoriktsqmvSbdCF+DYnGBpMqZsfFSv4tPqMl5JkpCe2SJKqyEiIgo/BqYxZsaMGVAUxe9/NTp16uQ9d+jQoegtnKgZ0GRMjQFmTMU9pvWU8iaFuL9U7MgLBLfHVBwXk+Zjj2lZqTjDNHKjYjQzTJkxrZfY+CgtMxP6AN84ISIiigcx/1Nt9+7dWLp0KbZs2YKCggLYbDbIsuz3eZIkYdmyZU2wQiJqLsTS28ADU/Wxqab5kXC/kDOmQuMji04Pky7w0mCbp1R17CtjKu4xjdT+UoClvMFg4yMiImruYjYwPXDgAO68885GBZeKorCBBhEFzS1kOA0BBqYuj9iVF3BWKtpS3vTwZkyDGRUDALYAxsXYhIxpalpkuuQqiuKz+RH5JmZM2fiIiIiam5gMTLds2YIRI0bAZrOpylbrUxOEBnItEVF9xNLbgJsfCRlTgwx4HNr7hZ4xDTEwFcbFpPgq5W2ijGl5ZSXsTvXnw4xp/UoKhIwpGx8REVEzE3OBqcvlwrhx41BWVgYAuPLKKzFlyhTMmzcPX375JSRJwvLly2Gz2XD48GH88MMPWLBgAZxOJ1JSUvDyyy+je/fuUf4siCgeeYRSWYMpsEBS3GOqd1Qfi6XBoQamZR5hhqk+8P2l1c/3nzEtK1XPMI1UYHq6WF1WrJMktEhPi8hrNQfMmBIRUXMXc4Hphx9+iEOHDkGSJNx8882YPXs2AOCHH37wXjN8+HDvx/fccw+OHz+OO+64A9988w3++Mc/YvHixTj//PObeulNitlhovCTXUJgavRfeqsoiqYrr3Smua+s6cobWilvKDNMgcC68oqlvJEbFaMOkjPT02DQN36UTnNXrMmYMjAlIqLmJea68n799dcAAIPBgH/84x8BPaddu3ZYuHAhxowZg7KyMtx4440oLS31/0QiojpkIWNqNPrPcIpBKQBI9WRMraFmTIXANJgZpoqiwKbpyusjY6op5Y1MV15xfynLeBvG5kdERNTcxVxg+vPPP0OSJAwaNAhZQbwjrNPpMGvWLJhMJhw5cgRz5syJ4CqJqDnyuN2qY0MAgalYxgsAOJMx1ewxzQjvHtNgMqZ2uRJuqD8/n115S8tVx5HKmBaUqN885AzT+imKwlJeIiJq9mIuMC04U66Um5urOq+vU+JVVVXl87lt2rTBRRddBEVRMH/+/MgtkoiaJUUITE2mJL/PERsfAQCqzmRM3eIe0zB35Q1ij6lYxgtoA1OPx4PyMvX318jtMVVnb5kxrV+FrQxuocyczY+IiKi5ibnA1HmmS6PVqh5RkJqa6v04Pz+/3ud37twZQPW4GSKiYMhCYGoMIDB1+ciYKmdiOzncGVOx+VEQGVOx8REApOjT1fcXGh8BkQtMOSomcMUFhZpzGS0YmBIRUfMSc82PMjMzcfr0aVRUqPc5tWrVyvvxnj170KlTJ5/PrwlaC4RGEURE/ihuj+rYbPI/w9Pp0Z6TqxQosgzZow50w938KJjAVMyYpujSoJfUzYbKhMZHAJASoTmmp7nHNGDFwv7SlLQ0GE3BNb4iIkokhw4dwnfffYeVK1di+/btyMvLQ3l5OVJTU5GTk4MhQ4Zg4sSJqoaq9XG5XNi4cSPWrFmDrVu34tdff0VeXh5KSkrgdruRnp6Ozp07Y9CgQZgwYQKGDRvWBJ9h8xRzgelZZ52F/Px8HD16VHW+T58+3o+XLFmCkSNHap5rt9uxYcMGAEBaGscOEFGQPOoo02gMPmOqlwB3lQKPEEQCYRgXE0JgWiY0Pkr10fhIzJgmp1hgMIS/U67T5UKJTb2XlYFp/diRl4goMD///DPuvPNOrF+/3ufjxcXFKC4uxvbt2/HOO+9gxIgRmDNnDjp27FjvPRcsWIDrr7++3scLCwtRWFiITZs24e2338all16K999/v8F7km8xF5ied955WL16NXbu3Kk6f/755yM1NRXl5eX417/+hdtvvx1nn3226ponn3wSJ06cgCRJ6NevX1Mum4iaAcUtQ6pzbDL5L2MV95iadICrQtF05AUiEJjqG58x9dn4SNORNzJlvIUl2q7pLOWtX4nQ+CiTjY+IiHzavXu3Jijt3r07evfujaysLJSUlOCnn37yJsC+//57DBkyBD/++CO6du3q9/4mkwk9evRAbm4uWrRoAUVRcPLkSaxdu9Zbrbls2TJceOGFWLVqFYPTIMVcYHrJJZfg9ddfR35+Pnbt2oWePXsCAJKSknDzzTfjrbfegs1mw6BBgzB58mT06dMHlZWVWLhwIb7//nvvfSZPnhylz4CI4pZHHWWaA2l+5FFnTI06Cc5KRdOR12AxwGgJ7Vuudo5p4M2PxD2maXofo2KEjryp6ZEZFSOW8SYnWWC1hBa0N2dixjSDo2KIiBqUm5uL22+/HTfddBPat2+vekyWZcyePRv33XcfKisrcfz4cUyaNAk//fQTJEnS3Cs7OxtPPPEEfvvb32LAgAEwm7XbctxuN+bOnYt7770XVVVVOHLkCO6++27vGEwKTMwFpldccQWSk5NRUVGBefPm4bnnnvM+9txzz+Grr77CkSNHUF5ejjfffNPnPS6//HJMnDixqZZMRM2FWwhMzf4DM03GVA84KxTIrvB25JUVRdP8KJg5pjZ3ieo41ZChuaapMqYFJeq1cFRMwzQZU5byEhH5lJ2djQ8++AA333yzaqJHXTqdDr///e+RmZmJcePGAQDWrl2LJUuW4IorrtBcP3ToUAwdOrTB1zUYDPj9738Pg8HgTY598803OHr0KHJyckL8rBJHzHXltVgsWLZsGb799luMHj1a9VhmZiZ+/PFHDBkyBIqiaP4DgFtuuQWff/55NJZORPFOyH5azKn1XFhL3GNq1EnVpbxCdtMaYhlvhccFsf9vMHNMbZqMaYb2GjEwjdAM09NFJapjlvE2TDvDlBlTIiJfhg8fjilTptQblNZ17bXXYtCgQd7jRYsWhfz6EyZMQFJSdbWVoijYsmVLyPdMJDGXMQWg+iIRdezYEatXr8aaNWuwbNkyHD9+HDqdDl27dsVVV12l2XdKRBQIt9sJSYj8zIHsMRW68pp0gMtHKa8lI7wzTAEgLYhSXptHva8zxdce09LoZEzZ+KhhJUJX3kwGpkREYTF06FDvntRDhw6FfD+j0Yj09HRUVVXPjbPZbCHfM5HEZGAaiCFDhmDIkCHRXgYRNRNVTu0PD4vFf8bUKWRMTToJzkoZHrdQyhvqDFO3uoxXApAa4eZHqekcFRNtiqL42GPKUl4ionCou6fU4/Ex/y1IBQUFOH36tPe4c+fOId8zkcRcKS8RUTRUVWk7xQaUMRX2mBq9e0zDW8pb5lHfL0VvhM5Hk4Z6ny+Mi0nzNS6mTD0uJmKlvJrAVLsWqlZVWQmH3a46xz2mREThsX37du/HHTp0COleiqLgT3/6kzfA7dixIwYOHBjSPRNN3GZMiYjCye4s15yzmv3PQ3Z5tBlTX+NiQm1+FMoMUyB2xsXIsqwZF5OVmR7212kuSoRsKcDAlIgoHPLy8rB8+XLv8WWXXRb0PdxuN/Lz87F27Vq89tprWLlyJYDqkt63334bBgNDrWDwb4uICECVw0cpb0DNj9THJgCuKu0e07DPMA0yMPU3LkZRFNg0e0zDPy6mtLwCLrdbdY5deesnNj5KSk6GmaN1iGKKLMsoL9VW3VC1lPR06HSxV6T50EMPqbKbYtPV+uTm5mL//v31Pp6dnY158+Zh+PDhYVlnIom5wHTu3Llhu9ctt9wStnsRUfPm8JExDSQwFfeYms/EXJo9pmEOTFP1gTc+AoByP+NiKsrt8AhzXCNRylsglPEa9Hpkpvn/e05UbHxEFPvKS0sx9epR0V5GzPrX198gLca2bMyZMwf//e9/vccvvPCCz/mkwbrtttvw6quvIjk5MlthmruYC0ynTJnic7htsCRJYmBKRAGz29WBqSIBJqP/YFIzx9RV/f1L3GOaFGJX3jJ342eYehQPyuUy1TkxY1pWog3MI1HKK+4vbZGeFpPvpMcK7agYlvESEYVi48aNuPPOO73HEyZMwMSJEwN+/s033+xtcGS323H8+HGsW7cORUVFeO+99/DNN9/gb3/7G26++eawr725i7nAFIB3JmmgJEkK+jlERHU5nOoyVugDe4PMKe4xdVYfi3NMQ+7KKzQ/CmaGablHW2Im7jEVR8WYLSaYzMFlZQOhHRUTW++ixxpxj2lmFjOmRESNdfDgQYwePRr2M03l+vbti5kzZwZ1j6efflpzzul04sMPP8T//d//4cSJE7jllltw6NAhPPnkk2FZd6KIucB08uTJAV0nyzJKS0uxfft2HDx4EABgsVhw/fXX8913IgqappRXH9j3EXGPqfFMBa92j2l455gGs8dU3F8KAKlCV15bEzQ+Anx15GXjo4YUaQJTZkyJiBrjxIkTGDlyJE6ePAkA6Nq1KxYvXoy0NP+NDv0xmUy47bbb0KdPH1x44YVwuVx4+umncckll2Do0KEh3z9RxFxg+sEHHwT9nI0bN2LatGlYs2YNTp48ic8++ywsX2RElDgcTvWoFBgCC0zFPaZGJ6AoMmQxYxriHlNbCIGpTdhfapCMsEhJqnPRmmGaxYxpg0pYyksU81LS0/Gvr7+J9jJiVkp69N+ALCwsxMiRI71Ni7Kzs7F06VJkZ2eH9XUGDRqEW265Be+99x4URcErr7zCwDQIMReYNsaAAQPwww8/4KqrrsJ3332HW265BV9++WW0l0VEccTpEEt5AwxMhVJeowPwuFya60JvfqS+Z1oQzY98jYoR9/KXNdEMU7H5UavMjIi8TnNRzOZHRDFPp9PFXHMfqlVWVoYrrrgCO3fuBABkZWVh6dKl6NKlS0Reb+TIkXjvvfcAAKtXr47IazRXzabmVa/X491334XRaMRXX32Fzz//PNpLIqI44nRWqY4lgz6w5wmlvDqHounICwDWMM8xDWaPqb9RMQBgE5ofRa6UV70WzjBtGDOmRESNV1FRgVGjRmHTpk0AgPT0dCxevBg9e/aM2Gtm1nmTolD4Hk4NazaBKQDk5ORg6NChUBSlUSXBRJS4nEIpr6QPLDB1CaW8eqd2f6neqIPRGlojoTKh+VEwXXl9ZUw19xf3mKaHf4ZplcOB8kr1GwBsflQ/p8OOynL1GwZsfkREFBi73Y4xY8Z4s5ZWqxWLFi1C//79I/q6J06c8H7cokWLiL5Wc9OsAlMA6NatGwBg69atUV4JEcUTl0sdMOkamTHV27UdeS0Z5pDHYNmEUt5UQxClvG4hY2rQBoNiV95IZEwLS7TdgbMymDGtT3GB9p32TGZMiYj8crlcGD9+PJYvXw4AMJvNWLBgQZPs9/z666+9H/fo0SPir9ecNLvAtKb9c35+fpRXQkTxRFvKG9gWfHGPqWQHZJe6lDfU/aWAtitvKBnTlEAyppGYYVokBMgpyTCbAv88Ek2x0JHXZDYjiUPbiYga5PF4MHHiRHzzTXVDKoPBgE8//RSXXXZZ0Pdyu90oLdW+qVqfb775Bv/973+9x+PHjw/6NRNZswpMZVnGDz/8AKC6hpyIKFAuITDVGQMLTMVxMZJd0ZTyWkMMTF2yjCrZrTqXqg9lj2mG9hoxYxqB5kenhYxpqwztOqjWqePHVMeZLbNCzrwTETVniqLgtttuw/z58wFUN6b68MMPMWbMmEbdr7y8HF26dMFTTz2F3bt313tdcXEx/vKXv2DcuHFQlOo3rHNzczF16tRGvW6iahZdeWs88cQTyMvLgyRJOO+886K9HCKKI24hy6kLsFRWHBcDuwKPmDHNCLHxkbC/FAh2XIw6IEw1ZKiOFUVpknEx2sZHGb4vJADArp83q447nNmqQkREvr399tuYM2eO97hbt25YtWoVVq1aFdDz33jjDc254uJiPPfcc3juuefQrl079O3bF61bt4bVakV5eTn27duHzZs3w+ms/Vndtm1bLFy4EGZzaD//E03MBaZ5eXkBX+t2u1FYWIgtW7Zgzpw5WLNmjfexyZMnR2J5RNRMuVx21bE+wMBUzJgqPvaYhnuGKRBcYOqvK6/D7oLLqc7IRqKUl6NigrPzTBfJGr34hisRUYPErXx79+7F3r17A36+GJjqdDoYDAa43dU/I48fP47jx483eI9x48bhtddeQ/v27QN+XaoWc4Fp586dQy5VGjVqFG688cYwrYiIEkGjM6bCHlOlykfGNMwzTA2ShCRdYM2ZAP9decUyXiAyXXlPC4EpM6b1yz9+HKdPnlSd6x3hTpJERKSWlpaGwsJCLF26FKtXr8bPP/+MAwcO4PTp03A4HEhOTkZmZiZ69eqFwYMHY+LEicjNzY32suNWzAWmNWrqs4Oh0+lw11134eWXX47AioioORODSYMpsPIbsSuvXKVAdoU3Y6qZYao3BfUGXrm/wFSYYao36JGUHP7yI2ZMA7dj00bVcVpGJnK6dI3SaoiI4sP06dMxffr0sN4zLS0N48aNw7hx48J6X9KKucC0Y8eOAf/CZTQakZaWhs6dO2Pw4MG44YYb0LFjxwivkIiaI7cQTBqMgZXKintMPZU+SnnDvMc0mI68AFDmZ1yMTTPDNDnsTXY8sozC0jLVOWZM67dzs3p/ac/z+kGna1b9ComIiFRiLjA9dOhQtJdARAlI7KSrDyD4UxQFLo/qBDxV2q68SRnh3WOaGmRgGmwpbyT2lxaXlkGW1ellduX1TVEUzf7S3uexjJeIiJo3vv1KRATAI+7jNPkPJj0KUDfU0rsByNqy4KTM0DKmocwwtctVcCrq9aQKzY+aYoZpQUmJ6thkMCAthTM5fTmedxjFheoZpr36D4jSaoiIiJoGA1MiIgCySwhMjf6DSXF/qfFM/CeHvSuvem2pATZmArTZ0urnZ6iOm2SGaZF6HVmZGZzJWQ+xjDczKwvZHTpEaTVERERNg4EpEREAWQj+jEb/waTYkdfkrC7DFEt5rSEGpmLGNE0fxKgYYX8p4Kv5URPMMBUypmx8VD+x8VHv/gMYxBMRUbMXc3tM68rPz8eBAwdQVFSE0tJSWCwWZGRk4KyzzkJOTk60l0dEzYjHrZ7jaQggMBVnmBqdNQGuOmANtZTXJjQ/CmaGqZgxtepSYJDU3/ptpZXq+zfBDFM2PvJNlmXsEjKmvTgmhoiIEkDMBaZbtmzB22+/jRUrVmD//v31XteiRQuMGjUKkyZNwuWXX96EKySi5kgRAlOTKcnvc1xCR16jE/C4HZrrwj3HNC2oUl6hI6+wvxQAykrV42KaZIYpGx/5dOTAAdhKS1XnerHxERERJYCYKeU9ePAgRo4cif79++Pdd9/Fvn37oCiK9z8AquPCwkJ89NFHuPLKKzFw4EBsEjoYEhEFQxYCU2MAgalmj6kTmhmmkk6CKSW4LroizRzTYDKm7hLhuRna+zdF8yNxhmkL7TpIW8bbul07tM7OjtJqiIiImk5MBKaffvop+vXrh+XLl3uDUFFD5zdt2oQhQ4bg1Vdfrfeau+66K2zrJaLmR3F7VMdmk/99luIe0ySnduxMUoYZOl1o+wPFwDSYrrxiKW+KsL8U0DY/Sg1z8yNFUZgxDZA4JobZUiIiShRRL+X98ssvMXHiRMiy7G3ukJycjGuuuQaDBw9G7969kZmZiZSUFJSXl6O4uBg7duzAunXrsGDBApSXl0OSJLjdbjz00ENwu934v//7P+/9XS4XJk6ciM8//xxvv/12tD5NIop1HnVgajQGnzG1uLSlvKGW8QLaPaapwTQ/8lPK63K6UVWhXnO4M6aVdjuqHOrXaNVCW1Kc6DxuN3Zt+Vl1joEpEREliqgGprt27cLEiRO92dCUlBQ888wzmDp1KpKT6//FaMSIEbj33ntRUVGBd955B08//TQqKiqgKAoeffRRDBw4EBdddBEqKiowduxYLFu2jB0NiahBiltG3e8SJpP/4Mwp7DE1u3xkTENsfAT46MobwrgYsSOvTciWAuEPTMVRMZIkoWV6Wlhfozk4uHcPqirU/x69zjsvSqshIiJqWlEt5X344Ydht9sBAGeddRa2b9+OBx54oMGgtK7k5GQ8+OCD2L59O3JzcyFJEjweD+69917k5+djxIgRWL58OQAwMCWihnnU6U9zIM2PxHExLsDjEjKmGaFlTBVF0cwxDaYrrzguJs3PDFNJkpCS4v9zD4Y4KiYjNQVGQ9QLdmKOWMbbrlMntGjVKkqrISIialpRC0w3bdqExYsXQ5IktGrVCj/88AM6duzYqHt16tQJK1euRKtWrSBJEnbu3IkePXpg06ZNUBQFRqMRc+bMCfNnQETNihiYmv13phVLeU0OQHaLGdPQAlO77IFLUb9QcONi1B1eNTNMhVExKWlW6PTh/dGgaXzEUTE+7dzM/aVERJS4ohaYLly40PvxP/7xD7Rp0yak+7Vt2xYvvfSStyy4uLg6S5CSkoKvv/4akyZNCun+RNTMuYWy3EaU8pp8NT8KeVSMU3MuuMC04T2mthJhVEwEOvJqGh8xMNVwu1z4detW1bnenF9KREQJJGqB6bJlywAAaWlpuOGGG8JyzwkTJiA9Pd173Lp1a3z//fcYOXJkWO5PRM2T2+2EJDT+tphT/T5PzJga6unKG4oyj4/ANIjmR+K4mBQ/pbxpYe7IC/jKmLLxkWjfL7vgOLO1pUbPftxfSkREiSNqgemxY8cgSRIuuOACGI2BN/JoiNFoxAUXXABFUSBJEtasWYPz2DiCiPyocto05wLJmIp7TA0OX115QwxMhYypRaeHURf4t25/XXmbYobp6WL1GrIy0uu5MnGJ+0s75uYijSN1iIgogUQtMD116hQAoF27dmG9b3adQeRdunQJ672JqHmqqirVnLNY/GdMXULGVO9QIGsypqGW8qobHwUzwxTw35W3aTKm6r9f7jHV2iEEpr25v5SIiBJM1AJTk6n6lyuHMNsuVE5n9S+Fqan+f6kkIgIAu7Nccy4poFJedcZU79B25bWGuMfUJmRMU4MITGVFRrm/5kcRzpi63G4U29QZaZbyqjkdduzduUN1jvtLiYgo0UQtMK1pdnT48OGw3rfmfq1btw7rfYmo+apyaEt5k8z+52yKe0x1DsAT5q68mhmm+sC3PlR4yqBAHTynGRou5U0Nc8a0sLTM25SuBpsfqe3ZsQMuZ+2/s6TToce5/aK4IiIioqYXtcC0W7duUBQFa9eu9XbQDVVRURHWrFkDSZKQm5sblnsSUfPn8JExDaj5UZ09pjqPArgU7RzTEPeY2jyNn2EqlvEC2oyprUw9LiYt3Rrw/QMhNj5KMpuRnBRasN7ciGW8Xc8+G9YU/+OKiIiImpOoBaZXXnklAMDtduOf//xnWO75z3/+E263GwDw29/+Niz3JKLmz25XB6aKBJiM/oOnuntMjQ5A8bgBITsY7nExwQSmYuMjPfSw6tQBjyZjmhHegEjT+CgzA5IkhfU14h3nlxIREUUxML3mmmtgMBgAAH//+9+xatWqkO73448/4u9//zsAwGAw4Nprrw15jUSUGBxOdXAGfWCBU909pkantowXCH1cTKFLPUIkmOZHvhof1Q0KZY+McjFjGuY9ptpRMRlhvX+8q6qowP5du1TnenF/KRERJaCoBaYdO3bEHXfcAUVR4HQ6ceWVV2LBggWNuteCBQswatQouFwuSJKEO+64Ax06dAjziomoudKU8uoD+9bo9NR+bHRqGx8BgCU9tMD0mF0dNLczBx44lrnV2cpUYX9pua1Ss/8z3F15TwuBKfeXqv26bRs8ntovJL1ej3P6/iaKKyIiIoqOqAWmAPDMM88gJycHkiShoqIC48aNw3XXXYfVq1cH9PxVq1Zh3LhxGDduHCoqKiBJEnJycjB9+vTILpyImhWHU501hCHAwFTMmAqjYizpZugCDHLrc8yhDkzbWwIvtfU7KkYo4wUiv8e0FWdzqohlvLm9esGSlBSl1RAREUWPIZov3rJlSyxevBjDhg1DSUkJFEXBF198gS+++AIdOnTA4MGD0bt3b2RmZiI5ORkVFRUoKirCjh07sG7dOhw9ehQAvO/4Z2ZmYvHixWjZsmU0Py0iijNOh1jKG1gwKe4xld3hbXykKAqOOdTZ3PbmwANHcY9pml7oyCvMMLUmW2AwhvfHwukSzjBtyE7OLyUiCquCggKsXr0a69evx/bt27F//34cP34c5eXlMBqNyMzMRO/evTFixAjccsstaN++fUD3PXjwIDZs2ICNGzdiw4YN2LRpE2x1xqGJFUgUvKgGpgDQs2dP/Pjjj7jhhhuwc+dOANX/sHl5eThy5Ajmz5/v83k1//g1+6V69+6N//znP+jRo0fTLJyImg2ns0p1LBn0gT2vTldek4+MaciNjzxOVHjcqnPtzUFkTN0lquNUQ4b6/hGeYaooiiZjylLeWuVlZTi4Z7fqXK/+A6K0GiKi5mHKlClYtGiRz8fcbjeqqqpw/PhxLFmyBM888wwee+wxPPnkk9DpfL8pfeLECfTp0weFhYWRXDYhBgJToDo43bhxI/7617/irbfeQlFREYDqX2p8dW+s+45EZmYm7r33Xjz22GMwm0PLThBRYnIKpbySPsDAtG7G1Edgag0xMBX3l0oA2gaRMdWW8qarjrUzTMNbxltWUQGnSz3uhhnTWr9s3aL6eWY0mXBWr15RXBERUfOSlZWFHj16oFOnTkhJSUFlZSX27duH9evXw+12w+FwYPr06Thw4ADmzJnj8x4Oh4NBaROJicAUAMxmM5599lk89thj+Oyzz7BixQqsWrUKhw8f9o6AAao77nbq1AkXXnghLr74Ylx//fVI4n4cIgqBy6XOmOoCzJi6NHtMhVLeEDvyivtLW5uSYNYFtjZAG5iKpby2MiFjmh7uUTHq19fpdMhM8z8fNlGIZbxn9+kDE99gJSIKyYgRIzB69GhceumlyM3N9XnNqVOn8OCDD2LevHkAgLlz52L06NG47rrr6r1vSkoKzjvvPAwaNAgDBw6E3W7H5MmTI/I5JKqYCUxrJCUl4ZZbbsEtt9ziPWez2WCz2ZCamorUVP5SQ0ThpS3lDexboypj6lAgC+NiLBmhZUyPOxrfkRfQBqYpfpofRXpUTIv0NOgDzEYngh2bNqqOWcZLRBS6hx9+2O81bdq0wccff4xTp05h+fLlAIBZs2b5DEzbtGmDHTt2oEePHqpy3++//z5sa6ZqUe3KG6jU1FS0a9eOQSkRRYRLyHTqAmwA5PI03JU31OZHR4VS3vZBBqbiuJg0YVyMJjAN86gYzjCtX2lxEY4cOKA61+u886K0GiKixCNJEm699Vbv8c8//+zzuqSkJPTq1avePagUPvwbJqKE53aKpbzGgJ6nGRcjdOUNeY9pCKNigADGxQhdeVPDnDEVS3k5KqbWrs2bVcfmpCR069EzSqshIkpMrVq18n5ct8MuRQcDUyJKeG4hY6oPODCt/djo8JExDbGU95hdHBUTZMbU37iYCJfyioFpVouMsN4/nu0UAtMevzkXhgBLyImIKDx27drl/bhz587RWwgBYGBKRASXy646DjRj6rf5UYgZ01D3mJb7GRdjK23iUl5mTL12CI2PWMZLRNS0jh8/jn/84x/e44YaH1HT4NuzRJTwxEynwRTY3lCnp/ZjoxOQw7jH1KPIOOFQj7Fpbwk8cHTKDtgVdYly3YypoigoK1XfP9zjYk6XlKiOOcO0WtHpfJw4kqc615uNj4jilqwoKBLemKRaLYxm6HyMf4yGyspKHDp0CN9++y1eeukl5OfnAwB69OiBRx99NMqrIwamRJTwGlPK61EUuGsTpmf2mIqBaeMzpqecVfBAUZ3LCSJjKu4vBdR7TKsqHPC4ParH0zLCNy7G4XShrFydkWXzo2piGW9yaio6n3VWlFZDRKEqcjnQZ82/o72MmLV9yI3IMoVWQdRYq1atwrBhwxq8ZtSoUfj444/ZZDUGsJSXiBKex+1SHRuM/jOdLll9rK9yQ5HVgV4oc0yPCR15zZIOLY2B/2D3F5iWlZZrHg9nKW+BkC0FmDGtIY6J6XFuP+g4RoeIqEllZmZi3rx5WLRoETK41SQmMGNKRAlPU8obSGBaZ1SMJCvQVTk114SSMdXsL7UkQwqiFEocFWPRWWHUmWofFxofmcxGWJJMCBdxf2mKNQlJ5tDG5zQXO4X9pb3794/SSoiImrd27drhnnvuAVC9hcVms2H37t3YvHkziouLMWHCBLzzzjuYOXMmunfvHuXVEgNTIkp4skvImAZQclS3I6/Bx/5SIMSMqTgqxhzmUTERnmGqGRXDbCkAIP/4cZw+eVJ1rhcDUyKiiOjatSveeOMNzfnjx4/j8ccfx+zZs7FixQqcf/75+P7779G3b98orJJqMDAlooQni6W8hkBKeWszpiYfHXlNKUbojY0vz4z4qBixI2+kR8WwTAqAtow3LSMTHbp0jdJqiCgcWhjN2D7kxmgvI2a1CKAKqam1a9cOH3zwAdLS0vDaa6+huLgYN954I7Zv3w49t1ZEDQNTIkp4HrdbdWw0Jfl9jmqGqdPHDNMQR8VoMqZBdOQFgDz7XtWx34xpmAPTgmJ1YMyMaTVfY2KCKdEmotijk6SoNfeh0LzwwguYPXs2ysrK8Msvv+Dbb7/F1VdfHe1lJSw2PyKihKcIgakpkMC0zh5TowPwuNUZU2uYA9NgZpjKioyvC+eqznW3qsuTxIxpathLeUtVx2x8VL2/aZfQkZfzS4mIosdqteKCCy7wHq9evTqKqyEGpkSU8OQwZEzDOcMU0HblDaaUd3P5jzjqPKA6d3XLW1TH2j2m4Z1hKnblbZWZ6fvCBHI87zCKCwtU53pxfikRUVRl1vn5VFhYGMWVEANTIkp4ijDP02zyH6TV3WPqs5Q3vfEZ00qPC8VCBjaYUt4FBR+ojrtaeqK3dZDqnE3MmIZxhqksyygsETOm6WG7f7wSy3hbtGqF7A4dorQaIiICgBMnTng/btGiRRRXQgxMiYg86sDUaAyklLfO9U5tKW8oGVOxjBcIPGNa7inD0uLPVOeuybpVs49R0/wojKW8JbZyuIW/U+4xBXZuFveX9uf+UiKiKCosLMSaNWu8xz169IjiaojNj2LQ/v37sXjxYvzwww/Ytm0bjh49CofDgYyMDPTs2ROXX345brvtNrRp0ybaSyVqFhS3jLrhgcnkP0hzysIe0zA2Pzpur1QdZxrMsOqNAT13SdF/YFeqvMcGGHBVi5s019ki2PzotND4yKDXIz0lfBnZeCTLsnZ/KcfEEBGFVVFRUcBZT1mWce+998LhqH5j2Ww2s/FRlDFjGmOmTJmC3Nxc3Hvvvfj000/x66+/ory8HC6XC6dPn8bKlSvx+OOPo3v37vjoo4+ivVyi5sEjqw7NQe8xVTTjYkIJTI85hFExQZTxflmoLuMdlnE1Whq1b2JFMmNaIDY+ykiHTpfYP26OHDgAW6n676U3A1MiorCaO3cuBg4ciLlz56KsrKze67Zt24ZRo0bh3//+t/fcH//4R7Rs2bIplkn1YMY0xhw9ehQAkJycjNGjR+OSSy7B2WefjdTUVBw5cgSfffYZPv74Y5SVleGWW26B0WjEDTfcEOVVE8U5MTA1+8/uuTzqPaayO3zNjzSjYgIs491ftQvbK9aqzl3T8lbNdQ67Ew67enZreDOmJarjVi3Y+EicX9q6XTu0apsdpdUQETVfGzduxOTJk2EwGHDOOefg7LPPRmZmJiRJQmFhIbZt24Z9+/apnjN+/Hg8/fTT9d7zqaeewsKFC1XnysvVbyKfe+65muc9++yzGDNmTOM/mQTDwDTGtGvXDjNmzMBtt92GFKH0rV+/fhgzZgyuuuoqTJgwAYqi4N5778Xo0aNhtYa3oyZRQnErqkNzQKW8tR+bHIBbzJhmhJAxtTduVMxCIVuaZWiLoelXaq4TO/ICkS3lzcrICNu949VOzfxSZkuJiMLNbK59U9jtdmPHjh3YsWNHvdenpqZi+vTpmDZtGvR6fb3X5eXlYevWrQ2+tq/Hi4qKAlg11WBgGmPmzp3r95obb7wR//nPf/Dll1+ioKAAS5cu5bsxRI3kdjshqeNSWMypfp9XtyuvwQk4NBnTEPaYNiJj6lJc+LrwQ9W5q1veDIOk/TYvlvHq9TpYk8M3HL6AHXlVPG43dm35WXWOZbxEROF311134dJLL8XSpUuxbt067Ny5E3l5eSg5M8IsLS0N2dnZOPfcc3HZZZdh/PjxmkQQRQ8D0zh16aWX4ssvvwQA7NmzJ7qLIYpjVU6b5lzQGVMnUCY2P8oIYylvAHtMV5V+gyJ3vurcmCxtGS/gY1RMenJYu8OeLlJnTBN9huneXTtRVaH+O2fGlIgoMrp3747u3bvj7rvvDts9Z8+ejdmzZ4ftfuRbYnejiGNOZ+0vwQ2VHhBRw+x2bWBqsfjPmDrr7DE12GUoHrfq8cZmTBVFwTG70PwogD2v4uzS3yRfgC6Wc3xeK5byhrOMFwAKzrwzXSMrgUfF5B8/jteefkp1rl2nTsjMyorSioiIiGITM6ZxasWKFd6Pe/XqFZZ75ufn4/Tp00E9R9w8ThRvqhzarn1JQZby6ssdmsetjQxMC112OBR1MyZ/e0wLXCexqnSR6tw19WRLgch25K2021FRZVedS9QZpgWnTuHZ++9FYb46kz14xMVRWhEREVHsYmAahzZu3Ihvv/0WANC+fXtcfHF4fsl566238Mwzz4TlXkTxwu4s15xLMqf5fV7dUl5dhVPzeGO78oplvHpIaGNueHzNosIP4YHHe2zRWXF55u/qvV7MmKaGMWNaIHTkBYCW6Ym3x7S4oADP3X8vTp84oTrf5eyzcc0k7VxZIiKiRMdS3jhTXl6OKVOmwOOp/iX0hRdegNFojPKqiOKX3eGjlDeAjKm3lFdRoKtUZ0wNFgMM5sa97ycGpm3NVhik+r9VK4qCBUI33sszf4dkff2fQyQzpuKomPSUFJhNifU9qrS4CM9Nuw8nz4z/qtGxWzc8/sqrSEoOb+k0ERFRc8DANI7IsoxJkyZh586dAKq78958881RXhVRfHMIgaAiASaj/zLcmoypwQV4wtn4yB5cR95tFWtx0P6r6pyv2aV12SK4x1QzwzTBynhtpaX4y7T7cezQIdX59p0744lXX0NqAmaPiYiIAsFS3jihKAqmTp3qHe47ePBgvPvuu2F9jbvvvhvXX399UM/Zt28fxo4dG9Z1EDUlu0Mo5dUH1p22Zo+p0QnIkRwV46cj74LC91XHHc1noV/KhQ0+R9P8KIwZU7GUN5EaH1XYbPjrg9OQt3+/6nx2hw548tXXkZ7ZIkorIyIiin0MTOOAoii4++678f771b+A9uvXD4sXL0ZymMvBWrdujdatW4f1nkSxziHuMdUHVkhSkzE1OgCPS13K29j9pYCPUTENZEyrPBX4X9F/VOeuybrV7+gXW5l2XEy4JGrGtLKiAs8/9AAO7t6tOt+6XTs8+dob7MJLRETkB0t548B9992HmTNnAgD69u2L7777DhkZGdFdFFEz4XBWqk8EmDGt2WNqdGpLeRvbkRdAUKNiviv+DJVy7fU66HB1i1v8vkYkx8Uk4qgYe2UlXnz4IezbtUt1vmWbNnjytTfQkm/4ERER+cXANMbdd999ePPNNwEAffr0wbJly9CyZcsor4qo+XAKGUoYApsL7KrJmDoBj1vMmIYQmAZRyvul0PRoaPqVaG1q1+D93W4PKsrV41wiWcrb3DOmDrsdLz3yJ+zetk11PrNlFp567XW0zs6O0sqIiIjiCwPTGHb//ffjjTfeAFA9q3TZsmXIYjkYUVg5nVWqY8kQaClvnT2mYvOjRgamTtmDfGE99c0wPWzfg5/Lf1Sd89f0CABsQkdeIHwZU7fHg6JS9VzY5hyYOh0O/OOxR7Fz8ybV+fTMTDz5+utom9MhSisjIiKKPwxMY9S0adPw+uuvA6gOSpcvX45WrVpFeVVEzY9TKOWV9IFtva/JmJrCuMf0pKMSinCuvj2mCwtnq44zDFm4KP1qv68hlvFKkoTUNGswy6xXUWkZZEX9GWQ1020HbpcLrzz5OLatX6c6n5qejideex3tO3WOzsKIiIjiFAPTGPTggw/itddeAwD07NkTy5cvZ1MioghxudQZSl2ApbyR2GN6VCjjTdYbkG4waa5zK258VThXde6qFjfBqNNeKxJnmKakJkEXYMMnf8TGR2aTEanJ4Ql6Y4nb7carTz+FzatXq84np6bi8RmvomPXblFaGRERUfxiV94Y88gjj2DGjBkAgFatWuH1119Hfn4+8vPz631OZmYm2rdv30QrJGpetKW8gX1b9HbldSracTEZjQtMtR15U3x22F1TtgSnXcdV58Zm/T6g1xAzpqnhbHwkjorJyPDbITjeyB4P3nzuWaxf+b3qfJLVij//8xV06X52dBZGREQU5xiYxpj//Kd29MPp06dx6aWX+n3O5MmTMXv27Aiuiqj5cglluDpjoIFp/RlTS0bjSnmP29VBYzuz72zjggJ106Ne1oHITeod0GtEcoZpcx8VI8syZr7wPH5a+p3qvDkpCY++/E/k9uwVpZURERHFP5byElFCczvFUl5jQM9zear/NDq0XXkbW8p7zCGMirFoR8UUuU5jZelC1blrsvw3PaoRyRmmmoxpMwtMl3z+X6z89hvVOaPJhEde+gfO6fubKK2KiIioeWDGNMYcOnQo2ksgSihuIWOqDzAwrcmYGuwyqtwu1WONbX6kLeXVBo3fFn0Mt1L7embJgt9m3hjwazTlDNPmlDGtLC/H/PffU50zGI3444svodd550VpVURERM0HM6ZElNBcLvVMz0AypoqiePeYGsqdmscbOy7mmL3hwFRRFCwQZpdemjkeqYaMgF+jKUt5m1PGdOEnH8NWWqo698Bzf8FvBg+O0oqIiIiaFwamRJTQxP2hBpP/bGfNqBgA0FeELzA97idjuqtyE/ZWbVedC2R2aV3iHNNwZUwVRdGU8rZqJqNiik6fxqJ/z1OdGzDsIgwcdlGUVkRERNT8MDAlooTWmFJeVWBaLjZP0sGYFPwuiTK3EzaPuiS4vUUdNC4ofF913M7UGQNSRwT3OhEq5S0rr4DdqQ7SW7XIDMu9o23+B+/B6aj9d5Z0Oky4864oroiIiKj5YWBKRAnNI+wPNRgDyZgq3o+lSqEjb6q5USNSxDJeAMiukzG1y1X4tkidtRvTcgp0UnDfxsU5puEq5V256WfVsUGvR4v0tLDcO5qOHT6EFV9/rTp38VVXI6dz5+gsiIiIqJliYEpECU1TyhtAYFqzvxSKAqlKCEzTw9ORt7UpCWad3nu8ouQLlHtq9zhKkDC65eSgXkOWZdjKKlXnwpEx9Xg8WPTjT6pz/XueA4NeX88z4se8mTMhezzeY5PZjOtvuy2KKyIiImqeGJgSUUKTxYypyX9g6fRUZ0z1HgBOdSlvoxsfOcQZpuqA8Uthdung1MvQztwpqNeosFVBqZPtBcIzLmbNth2a/aVjRlwY8n2jbc+O7djww0rVuVG/uwEtWrWO0oqIiIiaLwamRJTQZJcQmBoCyZhWB3dGhzbjam3RyFExDXTkPe44hPW2ZarHg5ldWkMs4wVCL+VVFAULv/9Rde6sjh1wdufgguZYoygKPn7zTdW5lLQ0XHPTzVFaERERUfPGwJSIEprsdquOjaYkv8+paX5kdAIeoXmStWV4MqZ1A9OFhbNVj6XpM3FxxtigX0NsfJRkNcNoCm2c9S8HD2H/kWOqc2NGDGvUPttYsnn1Kvy6bavq3LjJU2BNSYnSioiIiJq30H4jISKKc5rA1BhAKW9NxtQJeNzqjGlyuALTMx15ZUXGAiEwvbLFRJh1wb9OJGaYLvx+leq4dYtMDO7TM+T7RpPH7cYnb7+tOteqbVtcPm58lFZERESBKigowOrVq7F+/Xps374d+/fvx/Hjx1FeXg6j0YjMzEz07t0bI0aMwC233IL27dv7vWdxcTGWLl2KFStWYMuWLdi3bx9KSkpgsVjQqlUrDBw4EKNHj8bvfvc7GI3+u/uTbwxMiSih1W1sAwAms9Xvc5xnnlKdMVUHpuGaYVqzx3S9bTlOOvNUj43N+n2jXkMs5U0NsfHR8dMF2LjzF9W5qy4aCn2cNz36YfG3OHrooOrcDXf8AUaTKUorIiKiQE2ZMgWLFi3y+Zjb7UZVVRWOHz+OJUuW4JlnnsFjjz2GJ598EjqdtpC0vLwcEyZMwJIlS+B0aueWu1wu2Gw2HDhwAP/5z3/wxBNPYM6cObjoIs65bgwGpkSU0BSXOmNqMvov5a27x1QWMqaWjOD3mHoUGSeEwDTHXF0yurJkoer82Unn4hxrv6BfAwh/xvTrlaugKLXNlKwWCy4dNCCke0ab02HHp+/+S3WuU+5ZGDry8iitiIiIGisrKws9evRAp06dkJKSgsrKSuzbtw/r16+H2+2Gw+HA9OnTceDAAcyZM0fz/PLycnwtjAxr06YNBgwYgLZt28LlcmHLli3Ytm0bAODQoUO49NJL8cUXX+Dqq69uks+xOWFgSkSJTcyYmvxnTBvcY5oRfMY031kFt6LulltTyrurcpPq/KWZ44K+fw2bOMM0hIypraICKzZsVp0bOWQQkiyNa/4UK7797DMUnT6tOjfx7rt9vpNORESxZ8SIERg9ejQuvfRS5Obm+rzm1KlTePDBBzFvXvV88Llz52L06NG47rrrfF6fmZmJW265Bbfeeit+85vfaB5ftWoVbrnlFhw8eBButxuTJk3Cnj170KZNm/B9YgmAP2mJKKEpbll1bAqg+VHNuJhwlfKKHXnNkg4tjRa4FTf2VG5RPdbLOjDo+9cQM6ahjIr530/r4azT0Viv0+GqYRc0+n6xoLysFF9+OFd1rveAAfjNoMFRWhEREQXr4Ycfxh/+8Id6g1KgOuv58ccf45JLLvGemzVrluY6k8mEp556CocOHcKMGTN8BqUAcOGFF2L58uVIS0sDAJSVlWHGjBmhfSIJiIEpESU2jzowNZv8B2vOBjKmSZnBZwzF/aXZ5mToJAkH7b/ArlSpHuuR3D/o+9fQZEwbGZi63G58u2qN6tzQc/uiZUZ6o9cWC76YOweV5eWqc5PuuifuOwwTEZGWJEm49dba0Ws///yz5poWLVrgmWee8QacDencuTPuvPNO73F9+1ypfgxMiSixCYGpyew/WHOd2WNqsMuaPaaNypjW05H3lwp1GW9bU0dkGrKCvn8NsflRY0t5f9y8BSU2m+rc6BHDGr2uWHD65Aksnj9fde6Cy0ai6znnRGlFREQUaa1atfJ+bBN+rjXG0KFDvR8fOnQo5PslGgamRJTY3Oq9nRaT/zmVNRlTk03boS8sganZ9/7SntbQGgtpmh81IjBVFAVfCSNieud2RdecdiGtLdo+/de/4K5bmmww4Iapd0RxRUREFGm7du3yfty5c+eQ71e3wsYj9LAg/xiYElHCcrudkNRxKSzmVL/Pq9ljaigPT2B61K4uH21/piOvNjA9L+h711AURZsxbUQp75bde5F38pTq3OjhFzZ6XbHg8L59+PF/i1XnRo69Fm1zcqK0IiIiirTjx4/jH//4h/e4vsZHwdi+fbv34w4dOoR8v0TDrrxElLCqnNqynUD2mNZ05dULgamkk2BOCX6w9nFHpeq4nSUZbsWNvZVbVed7Jjc+Y1pV6YDbpX73tjEZ06++/1F13K51K5zX4+xGrysWfPL2W6qxN5YkK8ZNmRK9BRFRXJFlGbbKSv8XJqhUqzVmOptXVlbi0KFD+Pbbb/HSSy8hPz8fANCjRw88+uijId1blmV8+OGH3uPLLrsspPslIgamRJSw7HZtYGqxBJAxPbPHVF+hbnxkSjE3qlHOMYeYMU323fjI2vjGR2IZLxB8YHr4+Els3bNPdW708Atj5heOxtixaRO2rFU3chozaRLSM1tEaUVEFG9slZX4/VN/jfYyYtb7zz6O9BT/22QiYdWqVRg2rOEeCKNGjcLHH3+M1FT/P/8b8tZbb+HXX38FAOh0Otx1110h3S8Rxe9vE0REIapylGnOJQVUylv9p1ShzphaUoPvyFvpcaNI6Ozb3pyMXRUbVeeyTZ2QYWgZ9P1riGW8RpMBZospqHt8tVK9tzQtJRnD+/dr9JqiTVEUfPL2m6pz6S1a4KobbozSioiIqKlkZmZi3rx5WLRoETIyMkK6186dO/HYY495j2+77Tb06tUrxBUmHmZMiShh2Z3lmnNJZv8t4WsyproqITBND35/qTgqBqjuyvt5YXgbH/kaFRNMdre4rAw/bt6iOvfbC86H2RR86XKsWLtiOfb/8ovq3PW/vw0WqzVKKyIionBq164d7rnnHgDVb0babDbs3r0bmzdvRnFxMSZMmIB33nkHM2fORPfu3Rv1GiUlJRg7dizKz4wbO+uss/DPf/4zbJ9DImFgSkQJy+7wUcobQMa0Zo8pqoQZphmhzzDNMJiQrDdiV+Vm1fkeITQ+ArSlvKlBNj76ZtUauOt0GDQaDPjt0PNDWlM0ud1u/HvWTNW57A4dcfHoMVFaERERhVvXrl3xxhtvaM4fP34cjz/+OGbPno0VK1bg/PPPx/fff4++ffsGdX+73Y5rrrkG+/ZVb3NJS0vD/PnzkRKl0uV4x8CUiBKWQwgKFQkwGf1nPZ0eBZJHgeIQZpi2aMSoGLt2VIxbcWNP5RbV+Z7Jjd9fCoQ2w9TucGLJ6nWqc8P790N6avz+4F22cAFOHj2qOjfhD3fCYOCPRSIKTqrViveffTzay4hZqTFYhdKuXTt88MEHSEtLw2uvvYbi4mLceOON2L59O/R6fUD3cLvduOGGG/DDDz8AACwWCxYuXBh0cEu1+BOYiBKWXWg6BH1gpa1OWYHRCchudcY0uWVjZpgKjY8sKThQtQsOxa46H0rjIwCwhTDDdMWGTSivUjdiGj0i+iNi3G43Vv3vf9i7cwcUKP6fUMf6lStVx7k9e2HQiBFhXB0RJQqdThe15j4UmhdeeAGzZ89GWVkZfvnlF3z77be4+uqr/T5PlmVMmTIFCxcuBAAYDAZ89tlnGD58eKSX3KwxMCWihOVwCvs79YH1g3PJgNEJeFzqjKk1qzGBqTZj+oswv7SdqXNIjY8AHxnTAEt5PbKMr39YrTp3Xo+zkdOmdUjrCYdP//UOFnz0of8LAzDp7rsb1VGZiIjil9VqxQUXXIDFi6tnWa9evTqgwPTOO+/Exx9/DKD6jYm5c+cG9DxqGLvyElHC0gamwWVMxcA0OasRe0yFUt525mTsqlR35A01Wwpo95gGmjHduPMXnCwoVJ0bM6Lh1vtNoaqiAt98+p+w3Ou8Cy5Az36h7eElIqL4lJmZ6f24sLCwgSurPfjgg/jXv/7lPZ41axYmTJgQkbUlGgamRJSwXE51eSoMge0rcXkAkwPwCKW81sykoNegyZhakvGL0Pgo1P2lgI/ANMCM6Vffq0fEdGmfjd65XUNeT6g2/PgDXE6n/wv9SLJaMeme+8KwIiIiikcnTpzwftyiRcMzrB9//HHMmDHDe/zKK6/g9ttvj9TSEg5LeYkoYYnNjyRDYO/VefeYChnTpMzgMqaKomgC0zYmM3aLjY/CkTEtDb4r797DR/DLwUOqc6OHD4uJktfV3y1RHed06Yo+A4IbqWNN1QQUHAAASIxJREFUTsb5l16KnM6dw7gyIiKKF4WFhVizZo33uEePHvVe+9e//hXPP/+89/jZZ5/FAw88EMnlJRwGpkSUsFwudcZU0gf2LdEpA2Yn4HEJ42Iyg9tjWuhywC57VOc8ynE4FfV9zwlxVAzgY45pAKW8C1f+qDpukZ6GC87tE/JaQlVaXIRtGzaozo2bPBlDR14epRUREVEsKCoq8pv1rCHLMu699144HNU/c81mc737RF999VU88cQT3uM//elPePLJJ0NfMKmwlJeIEpbTWak6lgIt5ZUVGB0KPG4xYxpcYCrOMNVBQr57u+pce1OXkBsfOZ0u2KvUa/VXyptfVIy1W3eozo268AIYY2CcypplyyDXmalqtljQ/8Lo73slIqLomjt3LgYOHIi5c+eirKys3uu2bduGUaNG4d///rf33B//+Ee0bKn9efv+++/jwQcf9B7fc889+Nvf/hbehRMAZkyJKIG5XOqRLLoAgy6nBzBWuAFFPaLEGmQprzgqpq3Zit1VK1TnItH4CPCfMV3042rIdT4/i8mEkUMGhbyWcBDLeAcMuwiWpOD39xIRUfOzceNGTJ48GQaDAeeccw7OPvtsZGZmQpIkFBYWYtu2bdi3b5/qOePHj8fTTz+tudf27dsxdepUKGd+HiYnJ0NRFNx7770BrWXatGk466yzQv+kEgQDUyJKWE5nIwNTWYGh1K45b8kILmN6zO5jVEyFuvFRj+TQy3jFwFSn08GaUv9aK6rsWLZW3Rn4ksEDkGKNfvB36tgx7NmhzuQOu/yKKK2GiIhiidlc+wax2+3Gjh07sEP4mVFXamoqpk+fjmnTpkGv11ZNFRYWQpZl73FFRQXeeuutgNdz3XXXMTANAgNTIkpYbqErr85oDOh5Thkw2Jxw1z0pAZb0YDOm4qiYJPxctVV1rqc1uIY+vmgbH1mh09W/k2Pp2vWoctTuc9VJEq6+aGjI6wiH1Uu/Ux2npqejz6DYyOQSEVF03XXXXbj00kuxdOlSrFu3Djt37kReXh5KSkoAAGlpacjOzsa5556Lyy67DOPHj0dKSkp0F01eDEyJKGG5heZFeoP/wNQjK5AVwFCuDkyNSWbodMF1qxX3mFr1VZrGRz3C0fgoiBmmbo8Hi378SXVucN9eaNMysGYSkaQoClYt+Z/q3PmXXApDDOx7JSKi2NC9e3d0794dd999d8j3GjFihLeMlyKPzY+IKGFp95j6D0ydZyp6dBXqANKcEly2FNCW8so4qTpub+qCdEPoAWEwM0y3/LoHhSWlqnNjhsdGY6HDe/fi2KFDqnMXshMvERFRs8DAlIgSlkeYQ6o3mvw+xyVXv3OqL1c/15zaiMBUyJhWKOpmDD2TQy/jBQBbWeAzTNdsU+/FOatjDrp37hiWdYRqldD0qFXbtujeJ/rja4iIiCh0DEyJKGGJpbyGAALTmoypVKV+riUtuMDUKXtwShhXk+/cojoORxkv4CNjWk8pr8vtxoYdu1TnLjzv3LCsIVSyLOMnYX/pBZeNbHCvLBEREcUP/kQnooTlcbtUxwaj/+DS6anOmErCXNCkIDvynnJWQty1csy1TnUcjlExQOClvDv27kdFlbq8+fw+vcKyhlD9unULCvPzVecuvJxlvERERM0FA1MiSlhiKW9AgWlN13i7EJgGOcP0qLC/1KLTwa0Uq871DFdgWhpYxlQs4+3eqQOyMjPCsoZQiWW8Hbt1Q8duuVFaDREREYUbWxkSUcKSxYypyX/W0yUrgKIADnUpr7VlkDNMhf2lGUYPUKepb46pK9IMmUHdsz6BlPK6PR6s275TdW7Ib2Jj/6bb5cLa5ctV54ay6REREVGzwowpESUs2SUEpoZASnkBo1ObbU3OCjIwFTKmJkndCTdcjY8AX3NMtYHpzn0HUF6pnut6ft/eYVtDKLauW4sKm011bujIkVFaDREREUUCA1MiSliy2606NpqS/D7HKSvVgalbnTFNbhVcYCrOMHXhuOo4XI2P3G4PKmzqgNNXxnTNVnUZb7cO7dG6RXgytqH6cYm6jPecvr9Bq7bZUVoNERERRQIDUyJKWJrA1Og/uHTKgNGhzZimtA6tlLdCVo+KCVfjo/KySs05sfmRx+PBuh1CGW/f2CjjraqowKZVP6rODWXTIyIiomaHgSkRJSzZ41Edm8xWv89xeRTfpbwt/Wdb6zrmKFcdS5K642zYRsUIZbwAkJKm/jx3HTiEsnL1dUN+ExtlvBtX/Qhnnf28er0e5198SRRXRERERJHAwJSIEpbiUmdMTcbAS3lld2hdecU9pjqpyPtxB3O3iDU+Sk5NgsGgV51bK3Tj7dK+HdpmtQzL64dq1ZL/qY5/M3gw0jIyorMYIiIiihgGpkSUuMSMqcl/xtQpA8YKNxRZ/VxLEHNMy9xO2Dzqxkt6XW1gGq4yXgCwiaNixDJeWcbabWI33tjIlpYWF2Hbhg2qc+zGS0RE1DwxMCWihKW4ZdWxKYDmRy5ZganUqTlvDSJjKjY+AgB9nYxpuOaXAv5Hxew+dBglQsfbITHSjXft8uWqcmuzxYIBFw6L4oqIiIgoUhiYElHi8qgDU7NJ261W5PQAxlKH5nwwGVNtGW8pJKm2rDicGVNNYCpkTMVuvB2z26Jd61Zhe/1QiGW8A4YNg8XqP6tNRERE8YeBKRElLiEwNZn9B6YuWYHRpg5MDWYj9IbAv52KHXnr7i8Fwtf4CNA2P6qbMZVlGWuFwDRWsqWnjh3Dnh3qtV14+RVRWg0RERFFGgNTIkpcHkV1aDGl+H2KUwZ05erA1GgNsvGREJjqpULvxx3MuUg1ZAR1v4Y0VMq75/ARFJWVqR6Plf2lPy39TnWcmp6OvoMGR2k1REREFGkMTIkoIbk9bkjqhCnMAWRMnbICQ7l6j6k5OdiOvOpRMZFqfARomx+lptV+jmu2bVc9ltOmNTq0bRPW128MRVGwaskS1bnzL74EBoMhSisiIiKiSGNgSkQJyeEo05yzmFL9Ps/pAXQVQmCaGr6Mac8wlvEC9ZfyKoqiLeONkWzp4X37cPTQQdU5lvESERE1bwxMiSghVdp9BKYB7jHVVapLec1pwQWmYlfeuhnTnskDgrqXP2Ipb+qZwHRf3lEUlJSqHhvSt09YX7uxVn+nzpZmtWmL7n1iY21EREQUGQxMiSghVfnImCZZ0v0+zykDqFJnTIPpyOtRZJxwVKrO1W1+dE4YM6ayLMNWqn6tmq68a7aps6XtWmWhY3b0y3hlWcZqYX/p0JEjodPxxxUREVFzxp/0RJSQ7M5yzbmAmh95FEh2dcbUGkRgetpph0tRb26tKeXtYM5Fqt5/cByoynI7ZFn9WmkZyVAUBWu2qveXnv+b3pAkKWyv3Vi/btuKwlOnVOcuvPzyKK2GiIiImgoDUyJKSHaHTXMu0IypYldnTK0tg5hh6hADYhd0UvVaelojW8YLVAemB44eR35Rsep8zJTxCk2POnTtio7dcqO0GiIiImoqDEyJKCE5hH2eigSYjP4DTJdHhuJUB6bJWYEHpseFMl69VAxJqh5bE+nGR5YkE0wmoyZb2qZlC3Rpnx3W124Mt8uFtSuWq84NHclsKRERUSJgYEpECckuZi71gZWxuh2A7FKX8ia3CiJjqhkVU9uRt0dyhEfFpJ8p490mduPtExNlvFvXrUW5MFeVgSkRETXWypUrMXXqVJxzzjlIT09HUlISunbtirFjx2LevHlwu93RXiLVwaFwRJSQHE6hzFUf2Pt0nkoFHpc6Y5rSOvDA9KiQqY1U4yNAW8qblp6Mw8dP4mRBoep8rIyJWfWduunR2X37onV29DO5REQUXwoLC3HzzTfj22+/1Tx28OBBHDx4EAsWLMDLL7+Mjz76COecc04UVkkiBqZElJC0gan/jGGlW0FxqYxWbnVgmto2mIypOMO0OjDtaD4rrI2PAN8zTNdsU5fxtsrMQLec9mF93cawV1Zi448/qM4xW0pERMEqLi7GBRdcgD179njPde3aFUOGDIHFYsH+/fuxevVquFwubNq0CSNGjMDatWvRuXPn6C2aADAwJaIE5XJWqU8Y9H6f8/HeKthL3VA86tKf4PaY+p5h2sMa3jJewMcM03Qrftoam2W8G378AU5HbYm0Tq/HkIsvieKKiIgoHt12223eoNRiseCdd97BzTffrLpm//79mDBhAjZs2IBTp05h/Pjx2LhxY0z8PExk3GNKRAlJbH4kGRr+dniwzIMvDjlgLnFqHkvKDKYrr5gxrS6r7Rnm/aWANmMqJUk4nn9adW5I3xgp4xW68f5m0GCkZWZGaTVERBSPNm3ahC+++MJ7/P7772uCUgDo1q0blixZgo4dOwIANm/ejE8++aTJ1km+MTAlooTkcqkzppK+/gISWVHw+s4KyApgKnVoHg80MK3yuFHosqvO1WRMezZBxrTArW4s1DIjHbkdc8L+usEqKy7Gtg3rVedYxktERMH67LPPvB/37dsXEyZMqPfajIwM/PnPf/Yev/rqqxFdG/nHwJSIEpLTqR7bIjVQyrv0mBO7ij0AAGOpOmOqMxhgMPkvAwa0ZbxAbfOjcDc+ArSB6ZGSfNXx+X16QaeL/o+BNSuWQ/Z4vMdmiwUDhw2L4oqIiCgerVu3zvvxqFGj/F5/1VVXeT/esGED8vLyIrIuCkz0fyMhIooCl5C51Bl8Z0xtThnv/VqbXTXa1BlTo8Uc8GuKgamECugkOzqZuyNFnxbwfQJlK62Acub/ZLOCogp1xnTIb/qE/TWD5XQ4sGzBAtW5AcOGwWK1RmlFREQUr06dOuX9uFOnTn6vb9++PfT62jeXly9f3sDVFGlsfkRECcnpDCww/WB3FUqdivdYXy4EptbAA1PN/tIwNj4qL6/CkaOnkHf4FPKOnEJe3knkVRRCSa5dO/YCkKr/0+kkvPDshzAY9DAa9DAYDTAY9LXHhjPHRj2MhtrHDAY9jEaDj/MGGI3VH+v1Nfesc5+6zz9zTqeT8NHrr+Lg/sOQJAOgKAAUDLl0ZMh/H0RElHgURfF/UR2SJKkaHu3cuTPcS6IgMDAlooTkFjOmRqPmmt0lbnx7RF2628LpRkmdY1OyKeDX1I6KCb7xka28EkfyaoLPmv9OorCoTHuxr+aC1bEfZFlBYWFpwK8bUZkDVYfTX1oA6e8LNQGt+j8DDHpdbUCtr/9afZ1gW6/XwWis/rM6aBb+PHNeb9BV39NYe++a++h9vJ6+5hq9jl0diYiipFWrVvj1118BIKCy3GPHjsHtru20/8svv0RsbeQfA1MiSkhuIWOqN6gDU4+i4PUdlaj73qtZD2S5XKrA1JwS2YypxyNj6bIN+OHHLcjLO4UiXwFoM6QoClwuN1wut/+LY0xNgCoGvGJgW/2nOhD2XlMn0K0NpNXnvffX171n7fmaa2teu+5r1ndcc+9Y2HtMFC9kWUaFrTDay4hZyaktm+x7Sv/+/fHjjz8CABYvXoznn3++weu/+eYb1XFRUVHE1kb+MTAlooTkdqtLcnVCYLrosAP7yjyqczflJuG0UMprTmv8qJjaxkf9fF5/4mQhXpnxb+zceTDg16Doc7s9cLs9cDhc0V5Ko+l0khAEVwfFer2uNgAWA+Izx3qdzvfzvIG1ruFzde6r0+tUQbZep1O9pl5fG1h7n6vXqdau955jNpsio8JWiMdvaRPtZcSsv849hdT0Vk3yWtdccw1mzJgBAPj5558xf/58XHfddT6vtdlsePHFFzXnKHoYmBJRQnI71QGm3lhbklvkkDFnjzqj2jFFh7FdzHijXH0+KSOIjKm9XP2aUiE6m8/WND5SFAWL/7cO7763EHa7dm5qffR6Hdq3a4UOHdvAKOmxZuk26GQJni4ALDhTxqtgYO9euOrCC84EUNVZSbfLA9eZgMp7zi3D7XZ7Ay2323PmvEf4r/qc68zjnpprz/zp8X7shtPpgtPhBCRm5GKZLCuQ5fjMWDekJkBVBca62sBWDL5rAl9dTQBcEwTrdN6AWvWYXhsMe6/T1bymDnpd7f3Vr1v9sU4VZNd9TfF1fL8mA3BKVCNGjMDQoUOxevVqAMCUKVPgdrtx4403qq47dOgQJk2ahAMHDqjOV1WpR8lR02JgSkQJyeNWB3yGOoHpu79UocKtbqBwby8rin91o6JACEwDnGGqKIrPUt4eyer9lYWFpXjt9c+wcdOv9d7LYNCjfbssdOjQBp06ta3+s2MbZGdnwWg0wF7lwKvPzYPRo4NiAhRV3Cvh6ssuQN/uuQGtO5yOHjyIp+76AypstjMl0tWdmMZN+T2uuO531UGuxwO360yw6zkTGLvOnHf7fszl9sDj8cDlqv6zOih2w+MNrOXa59QE1h510FwTTHtfx+2Bp+Z6T+19ZFlu8r83Ch+PR4bHIwNoXgG3SKcKYnXQ66oDaDH4rft4TWBbc95Q9xqdOvDV1TlXHZyfCbb16tfVCee869LV3EcvrEF9Xrxe9bhOuGed12Bgntg++ugjDBw4EAUFBaioqMCECRPw5JNP4vzzz4fFYsH+/fuxatUquFwuWK1WDBs2DP/73/8AAKmpqVFefWJjYEpECcntUgememN15nNroQvLj6sfu7S9CcnbZHz7zzI4K9TBZWqbwALTIrcDdlldGqyXCtGjzvzSlT/8jLfe/hzl5dp3bNu0zsTNN1+Jbt3ao112Fgz1zF0tyC/BS4/PxeH9JwAASrr68bTkZPTq1iWgNYdT0enTeOH/HkLFmTKp6l8bFYwcOxY33P77uPlFUpZldeBaExTXBLc1gbXHUxsYe+TaALgmIK5zXU3gXHO/2vuLH8tn7uv7/rWPyarnqF6TwXVCkOXqf2dX/FaTh0Snk+oErHp1YKyrDb5VQe2Z8xazEReP6AlJktCqVSYgASdPFnpHitR8r6r7Z4WtJFqfKvnQuXNn/PTTTxg/fjy2b98OANi3bx/27dunuq5Nmzb4+OOPsWDBAm9gmpGR0dTLpToYmBJRQpLd6t/YjEYzXLKCN3dWqs4n64Ghm4HlH57CsW0/wF6mbnDRqkdg8zaPCx15ARk6qQQ9rQNQVlaBt97+HD+u2urzuVdcMRi3/340rNaGg+B9vx7B35/4ECVFtXtk5Az1NYP69FTNbGsKlRUVePHh/0PBqZOq8/2HXohbH3woboJSoDoTZTLpYDJpuzjHC1mWz2QOawPXuoF1TXDrqQm+hXO+A2B1oF77sXDOz/1lj+/HPHLt/cSAuzoIC25EBDVv1aXo1V8fQHDRucVixPnndztzn+o3cSor7ZAa2H6gyCbcPn1zo9fbpGq+30qAVP3/qt8olKTqGpY634/Vj6uv8z7fe0vJe+va16i+oqJKQpWjuMHn1Ab6vs8H9Lp1Ps7J6Yg1a9bhv/+djy+++AIbN25EQcFpmM1mdOnSBWPHjsUdd/wBWVlZePfdd72fc05ODjweuf51UEQxMCWihOQRMqYGgxlfHHQgr7w2m6R3KRj/kw6bFu/B8R2r4HE5xNug46C2Ab2etvFRCXSSgspdybj7zX+guFjbcKFFizTcf9/1GDigh9/7r/l+O9588VO4nLUliooRQLL6uiG/6R3QesPF7XLhlcf/jMP79qrO5/bshWnPPgd9PfNjKXJ0uupMkdHYfP7utcF2nUyxXCeg9gbXdYLgM9d63DI88pmsck1QXPNYnQBblhVVkFwTQMseWXNeDK49HvHesuoxj0f7/LofU2ySdDokpbSM9jKiRhH+FB+w2aK3b3PIkBEYMmSEz8fKy10oLz+Bn3+ufVO4c+ezcODAMd83ayA49he4t2iRhpSUwN7ITmTN56dSM1VSUoK33noLX3zxBQ4cOICqqiq0a9cOF198Me6880707x/4/EMiqiULNW4eQxo+3lf7w9NSoeCyr904/MMGFOdp55rp9BKu/scItO2VFdDriYGp0VmA9ivG48WN83xef9FF5+KuP1yLtLRkn4/XUBQFn3+0Ap9+8J3msdROyShB7eumJCWhd263gNYbDoqiYNaLL2DbhvWq821zcvDIS3+H2RJ4R2OihjTHYFukKEqdAFwbtIpBrfvMx3LN47I2CK97L1kVRFdnHNWvdeY5dQJ/jyx7718TnNcNwL3P8Yjn6qzX7TmT4ay7xtrHmRGnSCorK8WBA7Ulvued18Dv1YpSHWsrgKINwxvEr+HANN/v4M3A+vXrMX78eBw9elR1fv/+/di/fz8++OADPP3003jyySejtEKi+CW71c1PDtu7wHFmC2jGaQXnzyvGqbUr4bBpZ5pldEzFxI+uRueh7QN6rROOCiwvqv3fcUpeOTovtkMu66i5NjXVinvuGodhw871e1+n04VZ//gcq5Zu0TzWu183lOc4UHKkNjAd1KcnDE1Yxvuff72DHxZ/qzqXlpGJx15+BWmZmU22DqLmQJKkM/slm7YUPxbUBKeyGLjWCYxVj9UJwmVZgVw3gJdlTYAv1wmmZcWDjAwjoCjevfyZmWneOZzKmcjE95/VbyAoZy5UBTEKhPO+Hg/0Ou9CKERLliyG68wb1bm5Z6F3775RXlFiY2Aaow4cOICrrroKBQUFkCQJd9xxB66//nqkpKRg3bp1ePHFF3HixAk89dRTyMjIwH333RftJRPFFTEwPe2qnkHXfr+MHu/vwYmd66B4tJ07+4w7C+PfuQLWALrxbikrwDvHduGr0wfhVhRILhntVp1Cm02FALT7lQYMOAfT7vsdWrRI095MUFpcjn889RH27DysOq8A6HfZOUjpbMWWjeo9T+f3bboy3u++/AJfzJmtOme2WPDIP/6Btjk5TbYOIop/1RlxAIh8UO52u7F3r3rrQWZmKgwxtu1AOROYNhQg139d/Y8Hds8gX0sIvBtc/5ll+Lz2zBMaDvjrWVvti3k5nQ68/fbr3uMbb7wJEcMtqgGJrf+VkddDDz2EgoICAMDMmTNxxx13eB8bPHgwrr32WvTv3x+nT5/Go48+ivHjx6Ndu3bRWi5R3JE96g65it6Es39yoNUHq5F/8qDmeoNZjzEzLsHgqX0bbILgVmQsLsjDO0d3YUNZPvR2D1LzypF6qBzpB2wwlWuD3aQkM6beNgaXXz4ooAYLeQdP4qXH5+L0yeLa9VsApQVgybFgY8GvQIH6OVaLpclGxGxa9SPee/kfqnOSTodpzz6H3B49m2QNRETNmdgsiPyrGwwriozbb78dR47kAQB69eqNP//5TzAYDZqsdH2BtnhP34F99fVJlsBnnicyBqYxaNeuXViwYAEA4MILL1QFpTU6dOiA559/HlOnTkVlZSVeffVV/O1vf2vqpRLFLcWlDhA7r3HA+M2XKKsq11zbukdL3PSf0Q3uJy11O/DJib1478gulBwuQOqhcnQ/ZEPyiSpIDVRc9endFQ9MuwFt2wbWOGPL+t2Y8ew8VFU6oBgBJROQMwEkVT9e6bT7fN7Qc/vC2ATv+O/btRMznnoSijCS5PaH/4j+Qy+M+OsTEVFiW7JkCVavXo3Jkyeja9eu3vM1wfyBA/sxbdo0LFq0CACQlJSEDz54H0lJ7HsQbQxMY9D8+fO9H0+dOrXe6yZNmoRp06ahsrIS8+fPZ2BKFAwhY+pZvQ2o6qW5bPAdv8GYf46AMcn3eJADlWV4e/sGLFu/HZaDZWiZV442jgC6Zxo8uH3ytbhmzIXevUsNURQFi79Yg9kzv4KcBijZgJICv2+US5KEQb17YtJVl/tfUwBkWUZVRQUqbDaU22yosJWhvKwMFTYbKmw2fD1vHpwOdfficZOn4LJrxobl9YmIiBpSVFSEZ599Fs8++yy6d++OPn36oGXLlrDZbNi9ezc2b67d5mKxWLBgwQIMHDgwiiumGgxMY9DKlSu9H19yySX1XpeUlITzzz8fy5cvx4EDB3DkyBF06NChKZZIFPcUt6yO6TwGKFCgSAAkwJhiwrVvXYJzruqKcrsdcmUlZFnxdor85tcd+GrtZlTsLoSl2InsIF7bmXMcfW42Ycz5F8Ijy3C63GcactQZG1HToEOW4XS68Mncxfh5714oPeFre6pG53bZuKj/ubiw32+QmZYKR1UVSgoLYa+qhL3KDntVJRxVdtirqqo/ttthrzzzZ1Ul7JVVqCgvrw5Ay8pQYTsTfJaXa7KhDRk+6ir8bqq26oOIiCjS9uzZgz179vh8bMCAAZg1axbOO++8Jl4V1YeBaQzauXMnACAtLQ05fpqE9OzZE8uXLwdQXQIcSmCan5+P06dPB/Wcffv2+b8owsbfPgmOU4GN7CCqdeeZPyUo0AEDdQBOqa7Y9skc4JOG7xJQ4Y8E6CyAzipBlwSYzTk4PF+P381/PLgl+2lkKzkd0BcXwFBcgPwtazD/m8/xmaLA5XQ2/MQI6TtoMO545FEOJicioiZz9dVX44svvsCyZcuwbt06nDhxAqdPn0ZSUhKys7MxaNAgXH/99bjyyisDqliipsPANMY4HA6cOlX9y3EgQWbdaw4fPtzAlf699dZbeOaZZ0K6R1QoChT4LrMkihbJBOisujPBqARJF6HgzO2GVHQaUsEpSLaS6lOReaWgdO7eHQ/95a8x18mSiIiat5SUFIwdOxZjx46N9lIoSPyNIcbYbDbvxykpKX6vT01N9flcImpiujMZUasO+mQJkiGCWUJZhlRSBKnwFKTiQkhK4KW14aTX65Gcmobk1FSkpFX/mZyaivadOuHK392ApOTkqKyLiIiI4g8D0xhTVVXl/dhkMvm93myubT9d97lEFHlSkgS9VYLOKkEyS5EtWZVloLwMusJ8SEX5kNyNz4tKOh0sSUmwWJJgsSbBbLHAkmQ983ESLElJMCdZYE1OqRNw1gagKWcCUIvVyjJdIiIiCgsGpjEmKSnJ+7EzgH1hjjrdL+s+tzHuvvtuXH/99UE9Z9++fVEvlRj12zFY+dNK/xcS+WBIS0N6m9aQJFSX20rVc+EkSQJ01X9KZxoi1T4uwSoZ0ElqAbMUfHt5nU6CTpIgSTroJMn7n9TAxwaDAa3aZlTPWAuSyWyuDjyTkmBJssBoMjOgJCIiopjCwDTG1C3NLS/XzlMU1b2m7nMbo3Xr1mjdunVI94iG266/Ebddf2O0l0FERERERI3EVlQxxmw2e4PDI0eO+L0+Ly/P+3HHjh0jti4iIiIiIqJIYWAag3r16gUAKCsrw9GjRxu8dteuXZrnERERERERxRMGpjFo+PDh3o9XrFhR73VVVVVYu3YtAKBLly4hzTAlIiIiIiKKFgamMei6667zfvyvf/2r3us++eQTVFZWap5DREREREQUTxiYxqBevXph9OjRAIAff/wR77zzjuaaI0eO4M9//jOA6m6806ZNa9I1EhERERERhQu78saof/7zn1i9ejWKiopw55134ueff8b111+PlJQUrF+/Hs8//zzy8/MBAM8//zzat28f5RUTERERERE1DgPTGJWbm4tFixZh/PjxOH78OGbOnImZM2eqrtHpdHjyySfxwAMPRGeRREREREREYcDANIadf/752LlzJ95880188cUX2L9/P+x2O7Kzs3HxxRfjrrvuwoABA6K9TCIiIiIiopAwMI1xGRkZePzxx/H4449HeylEREREREQRweZHREREREREFFUMTImIiIiIiCiqGJgSERERERFRVDEwJSIiIiIioqhiYEpERERERERRxcCUiIiIiIiIooqBKREREREREUUVA1MiIiIiIiKKKgamREREREREFFWGaC+A4pvD4VAd79u3L0orISIiIgqNoihwOp0AALPZDACw2+3Q6/XRXBYlII/HA1mWAdT+vv3rr79CkqSA7yH+Xi7+3h5rGJhSSI4cOaI6Hjt2bHQWQkRERBSi1NRUvPnmmwCAHj16AKgOBoii6ZdffgEA3HPPPbDZbI2+z5EjR3DeeeeFa1lhx8CUiIiIiIiajePHj2PdunXYvHkz9u/fj5MnT6KyshLJyclo3bo1+vTpgyuuuAL9+/eP9lKpDgamREREREQU93bv3o0XXngBO3fu9Pl4WVkZysrKsG/fPnzxxRfo378/pk+fjrZt2zbxSskXSVEUJdqLoPhVUlKClStXeo87dOjg3ZPRlPbt26cqI/7yyy+Rm5vb5Oug+MGvGQoWv2aoMfh1E1987THt1KlTk+4xdTgcqr2Bubm5UfndKh599tlnmDx5surcWWedhZ49e6Jly5YoLS3F2rVrcezYMe/j2dnZWLp0Kbp06dLUy22Qx+PB4cOHAdTuDTWZTPXuMfX1vaZDhw6qbXfDhw9HRkZGxNYcKmZMKSQZGRm45ppror0MjdzcXPTq1Svay6A4wq8ZCha/Zqgx+HUT29xuN/bu3as6Z7FYYDBE71dms9mMpKSkqL1+PDGZTACq/3d2++2346abbkL79u1V18iyjNmzZ+O+++5DZWUlTpw4gdtuuw0//fRTUI2FIs3tdkOnqx6gUvPvf9ZZZwX8tVjzvSaW95SKGJgSEREREVHcy87OxgcffICbb7653iy3TqfD73//e2RmZmLcuHEAgLVr12LJkiW44oormnK5JOAcUyIiIiIiinvDhw/HlClTAiq9vvbaazFo0CDv8aJFiyK5NAoAA1MiIiIiIko4Q4cO9X586NCh6C2EADAwJSIiIiKiBFR3T6nH44niSghgYEpERERERAlo+/bt3o87dOgQxZUQwOZHRERERESNJssybLbKsN2vym5HRYXde1xaVgGnM36zeampVm932ViSl5eH5cuXe48vu+yyKK6GAAamRERERESNZrNVYuJN06O9jJj1yUfTkZ6eEu1laDz00EPe8t2OHTti9OjRUV4Rxd7bF0RERERERBEyZ84c/Pe///Uev/DCCzCbzVFcEQEMTImIiIiIKEFs3LgRd955p/d4woQJmDhxYhRXRDUYmBIRERERUbN38OBBjB49GnZ79R7evn37YubMmVFeFdXgHlMiIiIiokZKTbXik4+mh+1+VXY7dv/6q/f47HPOQZLFErb7N7XUVGu0lwAAOHHiBEaOHImTJ08CALp27YrFixcjLS0tyiujGgxMqVlo1aoVnn76adUxUUP4NUPB4tcMNQa/bpo/nU4X1uY+VqsZZ53V1XvcskU6jEZj2O6fiAoLCzFy5Ejs378fAJCdnY2lS5ciOzs7yisLn+bwvUZSFEWJ9iKIiIiIiKLN7XZj7969qnNnnXUWDAbmcuJVWVkZLrnkEmzatAkAkJWVhZUrV6Jnz55RXlnDEvFrkXtMiYiIiIio2amoqMCoUaO8QWl6ejoWL14c80FpomJgSkREREREzYrdbseYMWOwevVqAIDVasWiRYvQv3//KK+M6sPAlIiIiIiImg2Xy4Xx48dj+fLlAACz2YwFCxZg6NChUV4ZNYSBKRERERERNQsejwcTJ07EN998AwAwGAz49NNPcdlll0V5ZeQPA1MiIiIiIop7iqLgtttuw/z58wFUd0z+8MMPMWbMmCivjALRfNs6ERERERFRwnj77bcxZ84c73G3bt2watUqrFq1KqDnv/HGG5FaGgWAgSkREREREcW9/Px81fHevXs1I1cawsA0uljKS0RERERERFHFwJSIiIiIiOLe9OnToShKo/+j6GJgSkRERERERFHFwJSIiIiIiIiiioEpERERERERRRUDUyIiIiIiIooqBqZEREREREQUVQxMKa6VlJTg+eefx8CBA9GyZUtYrVbk5uZi6tSp2LRpU7SXR02krKwMK1euxMsvv4wJEyage/fu0Ol0kCQJkiTh0KFDQd1v06ZNmDp1KnJzc2G1WtGyZUsMHDgQzz//PEpLSyPzSVCT2r9/P958803ccMMN6NGjB1JTU2EymdC6dWuMGDECzz//PE6dOhXw/ZYvX46JEyeic+fOsFgsaN26NYYNG4bXXnsNdrs9gp8JNRWXy4WFCxfi6aefxtVXX42ePXuiTZs2MJlMSE1Nxdlnn41JkyZh4cKFAXf35PeaxOVwOLB582Zs3LgRGzduxLZt2wJ6XllZGQ4cOIBt27Zh06ZN2LJlC3799VecOnUKsixHeNXUFLZt24aNGzdiy5YtqKioQEVFhffrpEWLFt7fbSRJwowZM/zeL55+PkkKeyNTnFq/fj3Gjx+Po0eP+nxcr9fj6aefxpNPPtnEK6Om1q9fP2zZsqXexw8ePIjOnTsHdK/nnnsOzzzzDDwej8/Hc3Jy8N///heDBg1qxEopFkyZMgVz5szxe11aWhrefPNN3HTTTfVeI8sy7r77bsyaNavea3r06IGFCxciNze3Ueul2HD06FF06NAhoGsvuOACzJ8/H9nZ2fVew+81scntdmPv3r2qc2eddRYMBkPYXkNRFOzZswc2m817zmQyoW/fvg0+Jy8vD6dPn673GovFgtzcXFgslrCtlZretm3b4HQ6Ved++eUXAMA999yj+rp55ZVX8MADD/i8Tzz+fGJgSnHpwIEDGDx4MAoKCiBJEu644w5cf/31SElJwbp16/Diiy/ixIkTAIDXXnsN9913X5RXTJF07rnnYuvWrQCA9PR09OvXD7/++itOnjwJIPDA9LXXXsO0adMAANnZ2XjssccwaNAglJeX47PPPsM777wDRVGQlZWFdevWoWvXrhH7nChyLrvsMixbtgzJyckYPXo0LrnkEpx99tlITU3FkSNH8Nlnn+Hjjz+GoiiQJAnz5s3DDTfc4PNeDz30EF555RUA1b+8PvLII+jbty8KCgrwwQcf4LPPPgMAdOvWDRs2bEBmZmaTfZ4UXkePHsVvfvMbDB8+HAMGDECXLl3Qtm1bZGZmorS0FFu3bsW7776L7du3A6j+hW/z5s0+gwR+r4ldTRGY5ufnIy8vD0ajES6XC4D/wPTIkSPeKg6z2Yy2bdvCarXC7XajoKAAxcXF3sd69OgR1vVS06oJTJOSkrznHA4HAMBoNEKSJO/57OxstGzZ0ud94vLnk0IUh6655hoFgAJAmTVrlubxvLw8pVWrVgoAxWq1KseOHYvCKqmpvPrqq8onn3yi7NmzR5FlWVEURRk+fLj3a+TgwYN+73Hs2DHFarUqAJTWrVsreXl5mmtmzpzpvefYsWPD/WlQE7n55puVGTNmKDabrd5r5s2b5/23zsrKUioqKjTXbNq0SZEkSQGg9OjRQykuLtZc88gjj3jv88ADD4Tz06Am5vF4FI/H0+A1LpdLGT16tPff/M0339Rcw+81sc3lcim7du1S/edyucJ2f7vdrmzatEnZsGGDUlhYqGzYsEHZsGGDsnXr1nqfU15e7r1u+/btPtdz5MgR7zW+vqYofmzdulXZsGGD8ssvvzT6azFefz5xjynFnV27dmHBggUAgAsvvBB33HGH5poOHTrg+eefBwBUVlbi1VdfbdI1UtO6//77MWHCBJx11lmqdxKDMWPGDFRWVgIAnn/+eZ8le3/4wx9w4YUXAgC+/PJLb2kNxZe5c+di2rRpSElJqfeaG2+8EWPHjgUAFBQUYOnSpZprXnzxRe9ewtdffx0ZGRmaa/7yl794s/VvvfUWSkpKQl0+RYlOp4NO1/CvTQaDAY899pj3eMWKFZpr+L0msR06dAiyLCMjIwMtWrQI6Dk11T8A0LFjR5/Z0Pbt28NkMgGozsi63e7wLJjiUrz+fGJgSnFn/vz53o+nTp1a73WTJk2C1WrVPIfIl5qvEavViokTJ9Z73e233+79uKYMhpqnSy+91Pvxnj17VI9VVVXhm2++AQB07dpVdW1dBoMBU6ZMAQA4nU4sXLgwMoulmJGWlub9uKysTPM4v9ckrtOnT8Nms0Gv16Njx44BPUeWZW8jLLPZrPr6qkuSJGRlZQGo3o8aC0EGRUc8/3xiYEpxZ+XKld6PL7nkknqvS0pKwvnnnw+gek/qkSNHIr42ik9HjhzBwYMHAQBDhgxR7esQ1f2aq/u1SM1P3eYTer1e9djGjRtRUVEBALj44osbvA+/ZhLLRx995P34nHPOUT3G7zWJy+FweH8PycnJ8WY3/amoqPB2201NTW3w2rqPl5eXN3KlFGsURYHdbg84Cx7PP58YmFLc2blzJ4Dqd6VzcnIavLZnz57ej3ft2hXRdVH8qvmaAtRfM7506NDBWwLKr6nmrW4ZZq9evVSPBfM1w+9DzZssyzh58iS+//57TJo0CS+++CKA6mY2d955p+pafq+Jfb62gyhh6BN6+PBhyLKM1NRUtGrVKuDnVVVVeT/212237hsddZ9H8amiogKVlZWoqKjAjh07sGXLFnTp0gWTJk3Chg0b6n1ePP98YmBKccXhcHi70gXStr/uNYcPH47Yuii+1f3aCKS8qubr6uTJk5qW7tQ8bNy4Ed9++y2A6r1b4rvOwXzN1MxYFp9H8aumI7wkSdDr9cjOzsbFF1+MTz75BEB1d/AvvvgCPXr0UD2P32tin699xKEGeadPn0ZZWRl0Oh06deoU1HPr/rv7y7IaDAbv+vn1Ev8URYGiKN5/S7fbjaNHj+KTTz7B4MGD8fDDD/ucXRvPP58YmFJcqTu7qaHGJTXqlrXUfS5RXfy6orrKy8sxZcoU73zJF154AUajUXVNsF8zNdfw66V5kyQJDz30EHbv3o1Ro0ZpHuf3mtgnSZL3F/UaRUVFjc6aOp1O77z1du3aBT1jtG7gIW4p8KUmMK1vPi7FPqPRiFatWiE1NRVWqxWZmZno168fevfujfvvvx9GoxGKouDll1/Gww8/rHl+PP984pAjiit137UMZH+G2Wz2+Vyiuvh1RTVkWcakSZO8pVA33ngjbr75Zs11jf2a4ddL85CZmemdV+rxeFBYWIg1a9bgnXfewauvvordu3dj1qxZaN++vep5/F4TH9LS0rydk4Hqv/vDhw+jRYsWsFgsfrsz13Xw4EF4PB5YrVa0bNmy3n2CiqL4fKzuOVmW/e4zrClFDuRaii2KosDlcqFly5YoKyuDLMvef0+9Xo9zzjkHr776Kn73u9/h8ssvR2VlJWbMmIEJEyZg4MCB3vvE888nBqYUV+runwikTKVmILH4XKK6+HVFQPUvBVOnTvV2Jhw8eDDeffddn9c29muGXy/Ng16vR+/evVXnLrnkEkybNg3jx4/HokWL0L9/f6xYsUJVzsvvNfEhNTUVp06dUmVJq6qqcOzYsaDu43a74XA4IEkSFEXBvn376r3W4/Fg7969mvN1v06OHTvmN2taE4xKkuTzfhSfDAaDN7M5dOhQ/OUvf8FDDz0ERVHw9ttvqwLTeP75xFJeiivBdpyre42/bnaUuPh1RYqi4O6778b7778PAOjXrx8WL16M5ORkn9c39muGXy/NW0pKCj788EMkJSXh1KlTmuZH/F4THwwGA3Jycho9FxuAam9g3b2foQhHEyaKPwaDAR06dFB9PU6ePNn7NSV2043nn0/MmFJcMZvNaN26NfLz8wMa/5KXl+f9ONCZYZR46n5t1P2aqU/N116bNm0CbvlPse2+++7DzJkzAQB9+/bFd99953MgeY1gvmYKCwu9ZYH8PtT8tW7dGhdeeCG+++47/PDDDzhx4gSys7MB8HtNPElJSUFOTg6OHj3aqIDw2LFjOHnypLfhUX1B7oEDBwBUBx81Xx86nc77/ae0tNTblKZDhw5o06ZNva/pdru9nVWTk5M1zbco/lgsFuTk5Gj6HLRo0QJZWVnIz8/HiRMnVI/F888nBqYUd3r16oX8/HyUlZXh6NGjDY6Mqdv6Whz3QFSj7teGv3bpR44c8TYI4NdU83DffffhzTffBAD06dMHy5YtQ8uWLRt8TjBfM/w+lHiysrK8Hx86dMgbmPJ7TXxJSUlBbm4ubDYbysrKVPtO/akJZmVZ9s6ubYjb7fYGqSaTyRuY1m2W5G8PYN3HY6EskxrHbDYjOTkZKSkpsFqt9b6pUdPgymBQh3Px/POJgSnFneHDh3vnC65YscJnYxKg+hv02rVrAQBdunQJaLwMJaaOHTuic+fOOHToENauXQu73V5v58S6sy2HDx/eVEukCLn//vvxxhtvAKj+obxs2TJVUFGfAQMGwGq1orKyUvU14Qu/ZhJPTRdWQF0ex+818cdgMCAzMxOZmZlQFAWyLAeUQf3ggw+8VRjB6tChA7Zu3Qqg+neZ0aNHo6qqCp07d8bmzZvrfd5LL73knaP71ltvYeTIkY16fYoOSZKg0+kCKiE/evQoCgsLAUCToInrn08KUZzZsWOHAkABoAwbNqze6959913vdX/84x+bcIUUC4YPH+799z948KDf6x9++GHv9e+++26911144YXe63bu3BnGFVNTu//++73/lr169VJOnToV1POvu+467/OXLl3q8xqXy6V07txZAaCYTCalqKgoHEunGHbw4EHFaDQqAJTk5GSlsrJS9Ti/11BdNf/GnTp1qvcafq8h0Z/+9Cfv18S9996reTxev2YYmFJcGj16tPd/cLNmzdI8npeXp7Ru3VoBoCQlJSlHjx6NwiopmoINTI8ePaokJSUpAJTWrVsrR44c0Vwzc+ZM7z3HjBkTgVVTU3nggQe8/5Y9e/YMOihVFEXZuHGjIkmSAkDp0aOHUlJSornm0Ucf9b7O/fffH46lU5R89NFHyunTpxu8Jj8/Xxk4cKD33/z222/XXMPvNVRXIIEpv9ckjq+++kqx2WwNXjNnzhxFp9MpABSj0ajs3r1bc028fs1IisIWXxR/9u3bh8GDB6OoqAiSJOEPf/gDrr/+eqSkpGD9+vV4/vnnvZvBX3nlFTzwwAPRXTBF1L59+7Bq1SrVuRdffBG7d+8GAPz9739XlWempKTguuuu09znlVdewUMPPQQAyM7Oxp///GcMGjQI5eXl+OyzzzBr1iwoioIWLVpg/fr16NatWwQ/K4qURx55BC+99BIAoFWrVvj3v/+N1q1bN/iczMxMzUxKAJg2bRpee+01AED37t3x6KOPok+fPigoKMD777+Pzz77DADQtWtXbNiwAS1atAjzZ0NNZcSIEVi3bh1GjRqFiy++GD179kRmZibcbjeOHTuGlStXYs6cOSguLgYA5ObmYu3atT73K/N7DdWoKdvs1KkTDh06VO91/F6TGEaMGIGff/4Zo0ePxrBhw3D22WcjIyMDdrsdv/zyC+bNm4fvvvvOe31Dv+PG5ddMdONiosZbs2aN0q5dO++7PeJ/Op1Oefrpp6O9TGoCH3zwQb1fB77+a+id6aeeesr7TqSv/9q1a6esWbOm6T45CrtOnToF9fUCQJk8ebLPe3k8HuX2229v8Llnn322smfPnqb9JCns6lZh+Ptv1KhRyokTJxq8H7/XkKIEljFVFH6vSRSBfp9JSUlR3nvvvQbvFY9fM8yYUlwrKSnBm2++iS+++AL79++H3W5HdnY2Lr74Ytx1110YMGBAtJdITWD27Nm49dZbA77e3zvTGzduxNtvv40VK1bgxIkTsFgs6NatG6699lrcc889DY4RodjXuXNn7/iFQE2e/P/t3XtMlvX/x/HXDfgFPIsSZgqIisdEYwIaeCo181ieUmpo0mwrG2tt5ZqKtlqHWW1ZORVjeQjTlJWly/AQKiiy1ASFIlHQQkENDyin6/eH49qNcrg5yPXDno+N7XNzv6/P/bk+MMZr13V9PhGKjY2t9v2EhAStWbNGSUlJysvLU5s2bdS7d2/NmDFDCxYsqHaBGzQfOTk52rlzpw4dOqT09HTl5eXp0qVLKisrU7t27dSzZ08FBwfrueeeU3BwsEN98rcGjl4xrcDfmgdbamqq9u7dqyNHjujUqVMqKChQQUGBnJ2d1bFjRw0cOFBjxoxRRESEOnTo4FCfzel3hmAKAAAAALCUk9UDAAAAAAD8txFMAQAAAACWIpgCAAAAACxFMAUAAAAAWIpgCgAAAACwFMEUAAAAAGApgikAAAAAwFIEUwAAAACApQimAAAAAABLEUwBAAAAAJYimAIAAAAALEUwBQAAAABYimAKAAAAALAUwRQAAAAAYCmCKQAAAADAUgRTAAAAAIClCKYAAAAAAEsRTAEAAAAAliKYAgAAAAAsRTAFAAAAAFiKYAoAAAAAsBTBFAAAAABgKYIpAABViI6Ols1mk81mU3R0tNXDaRZSU1Pl7Owsm82mjz/+uMqauXPnmvMaGxvbtAO8D1atWmWez4EDB6weDgA0WwRTAECzlp2dbQaDxvoiiNadYRh69dVXVV5eLh8fH73yyitWD6lJREZGqlevXpKkhQsXqqyszOIRAUDzRDAFAAANtmXLFiUnJ0uSFi1aJFdXV4tH1DRcXFy0aNEiSdKxY8e0YcMGi0cEAM2Ti9UDAACgIdq2bVvr1bkjR44oJSVFktSlSxc988wzNdYHBQXpyJEjjTbGB11ZWZmWLl0qSfLy8tLcuXOtHVATe/7557V48WKdP39ey5Yt05w5c9SiRQurhwUAzQrBFADQrHl4eGjlypU11kRHR5vBtFevXrXWS9LTTz/NLb0Oio+P1+nTpyXdubX1v3K1tEKLFi0UGRmpZcuW6cyZM/r2228VHh5u9bAAoFnhVl4AANAgn376qdmeP3++dQOx0IsvviibzSap8nwAABxDMAUAAPWWmZlprkYbFBSk7t27Wzwia3h7eyskJESSdPToUf3+++8WjwgAmheCKQAAVXBku5jY2FizpuK5yvLycm3atEnjx49Xt27d5OrqKi8vL02bNk1JSUn39FFcXKz169friSeeULdu3eTm5iZvb29FRETo1KlTdRpzSUmJ1q9fr5kzZ8rPz09t2rRRq1at1L17d82ePVvbt2+XYRh1nYoabdy40WxPnTq1Xn3cvHlTX3zxhUJDQ+Xl5SVXV1d169ZNs2fP1sGDB2s9vqqfVVFRkWJiYjR27Fh5e3vrf//7n2w2m44dO1bp2OvXr2vVqlWaMGGCvL291bJlS7Vo0ULt2rVTnz59NGnSJL333ns6efJkreOwf3aZRZAAoG54xhQAgEaSn5+vWbNmac+ePZW+f/HiRW3btk3bt29XTEyM5s2bJ0n6888/NXny5HsCaE5Ojr7++mvFxcVp8+bNDgW+ffv2KTIyUllZWfe8l52drezsbMXFxSkkJERbt27VI488Uv8TtfPDDz+Y7dGjR9f5+PT0dE2fPv2eOcjNzVVcXJzi4uK0ZMkSLVu2zOE+T506pRkzZigtLa3GuqSkJM2YMUPnz5+/573CwkIVFhYqIyNDO3bs0Ntvv62SkhK5uFT/r5P9+e/YsUMffPCBw2MGgP86gikAAI2gtLRUzz77rBITE+Xm5qYRI0bI29tbly9fVkJCgq5evSrDMMx9L/39/TV69Gjl5OSobdu2Gj58uB5++GHl5eXpl19+0c2bN1VcXKw5c+YoLS2txltkt2zZovDwcJWUlEiS3N3dFRISIl9fXzk5OSkzM1NJSUkqLS1VcnKyhg4dqpSUFHl5eTXonPPz880rkO7u7goMDKzT8RcuXNCTTz6pv//+W+3bt1dYWJg6d+6s/Px87dmzR//++68kafny5erXr59mzZpVa58FBQV66qmndO7cObm5uSk0NFQ+Pj66fv26uZ2NdCf8jxs3TteuXZN0ZwGjIUOGqGfPnmrZsqVu3Lih7OxsHT9+XIWFhQ6dz+DBg9W6dWtdv35d6enpunDhgrp06VKnOQGA/ywDAIAH3NKlSw1JhiRjxIgRdT5m6dKlVdZ89dVXZo2rq6shyZgyZYqRl5dXqe7y5ctGWFiYWTtq1Chj6tSphiTj5ZdfNgoLCyvV5+TkGH379jXr582bV+04T548abi7uxuSDJvNZrzxxhvGlStX7qnLysoyQkNDzT7Hjx/v0DzU5McffzT7CwwMdOiYiIiIe+bszTffNG7cuFGprqCgwBg9erRZ6+fnZ5SXl1fZp/3PysXFxZBkTJ8+3bh48WKlurKyMqO4uNgwDMOIiooyjwkLCzPOnz9fZd8lJSXGvn37jPDwcKO0tLTW8xs6dKjZ7/bt2x2YEQCAYRgGz5gCANAIbt++rZEjR+q7777TQw89VOm9Dh06aP369XJ2dpYk7d27V/Hx8YqIiNCXX36pNm3aVKrv2rWr1qxZY77eunWrSktLq/zc1157TUVFRZKkFStW6KOPPlL79u3vqfPz89OuXbvUr18/SdLOnTt1+PDhep+vJJ04ccJs9+nTp87H3759W4sWLdL777+vli1bVnrPw8NDmzZtUqtWrSRJf/31l0N7y5aWlmrs2LHavHmzPD09K73n5ORk7i+amJhofn/dunXVXtl0cXHRiBEjtGHDBvPnV5O+ffua7ePHj9daDwC4g2AKAEAj+eSTT6oNLz4+Pho2bJj52tXVVR9++GG1fT3++OPq1q2bJOnatWvmPqH2jh8/bj7POnjwYEVFRdU4vlatWmnx4sXma/uFi+rjzJkzZrtr1651Pt7T01NLliyp9n0vLy9NmDDBfO1IMJXubNfi5FTzvzj2t+feHWAbwv7Z3ezs7EbrFwAedARTAAAaQY8ePTRo0KAaax599FGzHRYWds+V1bsNGDDAbNuHwAo//fST2Z49e7a5j2ZN7Bfoqdjmpb7y8vLMdseOHet8/KRJk+Tm5lZjzeDBg822I0Fv4MCBla5aVqci9EvSqlWraq13VKdOncz2P//802j9AsCDjsWPAABoBPYhsjodOnQw2/3796+13sPDw2xXtQCP/fYze/fu1dmzZ2vt07DbLiYnJ6fW+prcuHHDbN99K64j7IN6dewDryOLEDm6ANPMmTPNq81vvfWWdu/erfDwcI0ZM6ZeV38r2M+D/fwAAGpGMAUAoBG0a9eu1hr7rUbqWl+x4q69CxcumO2dO3fW2t/drly5UudjqmPUY39UR+ag4plQqeo5uJujt+VGRkZq165dio+PlyQlJCQoISFBkuTt7a2wsDCNGjVKU6ZMqXQVtDb1mQcAALfyAgDQKBy5jbYh9VWp2E6lvsrKyhp0fMXCRJLMBZjqojHm4G7u7u4O1Tk7O2vbtm1au3atuSBUhXPnzmnjxo2KjIxUly5dFBkZqcuXLzvUr/082M8PAKBmBFMAAJop++Czbds2GYZR56+G6Ny5s9nOz89vUF9WsNlsmj9/vtLS0pSRkaHVq1crIiJCfn5+Zk1JSYliYmIUFBSkS5cu1dqnfY39/AAAakYwBQCgmfLy8jLbViy00717d7Odm5vb5J/fmPz9/fXSSy8pNjZWWVlZysjI0Ouvv26uspyVlaVly5bV2s/58+fNtq+v7/0aLgA8cAimAAA0U8HBwWb74MGDTf75AwcONNsZGRlN/vn3k7+/v1asWFEpjH7//fe1Hnfq1CmzHRAQcF/GBgAPIoIpAADN1MSJE832tm3bKm3f0hSGDBliPieanp6u0tLSJv38pjB58mSzXdv8lpeX6+TJk+broKCg+zYuAHjQEEwBAGimgoKCNHLkSEl3Ft154YUXVFxc7NCxxcXFDV6Vt1OnTuberUVFRUpNTW1Qf03J0Wdi7bfUqW3f2d9++03Xr1+XJPXr109dunSp/wAB4D+GYAoAQDP22WefqXXr1pKk3bt3a/jw4Tp8+HC19ZmZmXrnnXfk6+vbKLf/Tpo0yWxX7AvaHHh7e2vBggXav3+/ysvLq6w5evSoFi5caL4eP358jX3an7/91WwAQO3YxxQAgGZswIAB+uabbzRr1izdvHlThw8fVkhIiHr06KHHHntMHh4eunXrli5evKgTJ05UWpynMYSHh2v58uWSpPj4eC1atKhR+79fioqKtHr1aq1evVpt2rTRoEGD5OPjo1atWik/P1+nT59WWlqaWe/p6ano6Oga+9y+fbvZDg8Pv19DB4AHEsEUAIBmbuLEiTp06JDmz59v3k6blZWlrKysao/x9fVV165dG/zZ/v7+Cg0N1YEDB5SSkqIzZ85UWq33/6vWrVubt91eu3ZNiYmJSkxMrLI2ICBAcXFxNd6am5OTo+TkZElSYGBgpYWhAAC1I5gCAPAACAgI0NGjR/Xzzz8rPj5eBw8e1IULF3T16lW5urrK09NTvXv3VnBwsMaNG6ehQ4eaCxc1VFRUlA4cOCDDMLR27Vq9++67jdLv/VRQUKBff/1V+/fvV0pKiv744w/l5eXp1q1batmypbp27arAwEBNmzZNkydPlpNTzU8/rVu3ztwXNioqqgnOAAAeLDajobtrAwCA/7Ty8nL1799fp0+flpeXl7Kzs+Xm5mb1sJpMSUmJ/Pz8lJubK19fX2VmZqpFixZWDwsAmhUWPwIAAA3i5ORk7veZl5en2NhYawfUxDZu3Kjc3FxJ0tKlSwmlAFAPXDEFAAANZhiGhg0bpuTkZPn4+CgjI0Ourq5WD+u+Ky0tVf/+/ZWZmamAgAClpqbK2dnZ6mEBQLPDFVMAANBgNptNK1eulJOTk86ePavPP//c6iE1iZiYGGVmZkqSVq5cSSgFgHriiikAAAAAwFJcMQUAAAAAWIpgCgAAAACwFMEUAAAAAGApgikAAAAAwFIEUwAAAACApQimAAAAAABLEUwBAAAAAJYimAIAAAAALEUwBQAAAABYimAKAAAAALAUwRQAAAAAYCmCKQAAAADAUgRTAAAAAIClCKYAAAAAAEsRTAEAAAAAliKYAgAAAAAsRTAFAAAAAFiKYAoAAAAAsBTBFAAAAABgKYIpAAAAAMBSBFMAAAAAgKUIpgAAAAAASxFMAQAAAACWIpgCAAAAACxFMAUAAAAAWIpgCgAAAACwFMEUAAAAAGApgikAAAAAwFIEUwAAAACApQimAAAAAABLEUwBAAAAAJb6P778z74cf3/vAAAAAElFTkSuQmCC" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "execution_count": null, + "id": "5c98072b", + "metadata": {}, + "outputs": [], "source": [ - "# Plot Quality VS Time\n", + "# Plot Quality\n", "for i in d.getNodeIndex():\n", " d.plot_ts(Y=CN[i], title=f'Scenario: {str(i)} \\n Contaminant at node ID: {d.getNodeNameID(i)}',\n", " xlabel='Time (hrs)', ylabel='Quality (mg/L)', color=None, marker=None, fontsize=8,\n", @@ -265,19 +202,20 @@ }, { "cell_type": "code", - "execution_count": 10, - "id": "688bc7ef", + "execution_count": null, + "id": "77af002b", + "metadata": {}, + "outputs": [], + "source": [ + "d.plot_show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3638bd51", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Close toolkit for the input file \"Net1\". EPANET Toolkit is unloaded.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ "# Unload library\n", "d.unload()" @@ -285,27 +223,10 @@ } ], "metadata": { - "kernelspec": { - "display_name": "Python 3.10.6 64-bit (windows store)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.6" - }, - "vscode": { - "interpreter": { - "hash": "0df096debc758afc4e07b4a6d7176310e13b87e5b446a84739768769d4d90649" - } + "jupytext": { + "cell_metadata_filter": "-all", + "main_language": "python", + "notebook_metadata_filter": "-all" } }, "nbformat": 4, diff --git a/examples/notebooks/EX14_write_msx_file.ipynb b/examples/notebooks/EX14_write_msx_file.ipynb new file mode 100644 index 0000000..a8dbf1c --- /dev/null +++ b/examples/notebooks/EX14_write_msx_file.ipynb @@ -0,0 +1,127 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "8ce80bc9", + "metadata": {}, + "source": [ + "# Writes MSX File e.g.Net2.msx.\n", + "This example contains: \n", + "\n", + "* Load a network. \n", + "* Set Input Arguments: Filename Section Title Section Options Section Species \n", + "Section Coefficients Section Terms Section Pipes Section Tanks Section Sources\n", + "Section Quality Global Section Quality Section Parameters Section Patterns. \n", + "* Write MSX File.\n", + "* Load MSX File. \n", + "* Compute. \n", + "* Unload libraries." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ca60d2f0", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "from time import sleep" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "200196bb", + "metadata": {}, + "outputs": [], + "source": [ + "from epyt import networks\n", + "from epyt.epanet import epanet, epanetmsxapi" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4e182f9e", + "metadata": {}, + "outputs": [], + "source": [ + "nets = networks.inp_files()\n", + "inpname = nets.net2_cl2\n", + "d = epanet(inpname)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "37d74dfc", + "metadata": {}, + "outputs": [], + "source": [ + "msx = d.initializeMSXWrite()\n", + "msx.FILENAME = \"cl2testwrite.msx\"\n", + "msx.TITLE = \"CL2 setMSXwrite\"\n", + "msx.AREA_UNITS = 'FT2'\n", + "msx.RATE_UNITS = 'DAY'\n", + "msx.SOLVER = 'EUL'\n", + "msx.COUPLING = 'NONE'\n", + "msx.COMPILER = 'NONE'\n", + "msx.TIMESTEP = 1000\n", + "msx.ATOL = 0.001\n", + "msx.RTOL = 0.001" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e11c7cff", + "metadata": {}, + "outputs": [], + "source": [ + "msx.SPECIES = {'BULK CL2 MG 0.01 0.001', 'BULK TRS MG 0.001 0.0012'}" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "26b6e951", + "metadata": {}, + "outputs": [], + "source": [ + "msx.COEFFICIENTS = {'PARAMETER Kb 0.3', 'PARAMETER Kw 1'}\n", + "msx.TERMS = {'Kf 1.5826e-4 * RE^0.88 / D'}\n", + "msx.PIPES = {'RATE CL2 -Kb*CL2-(4/D)*Kw*Kf/(Kw+Kf)*CL2'}\n", + "msx.TANKS = {'RATE CL2 -Kb*CL2'}\n", + "msx.SOURCES = {'CONC 1 CL2 0.8 '}\n", + "msx.GLOBAL = {'Global CL2 0.5'}\n", + "msx.QUALITY = {'NODE 26 CL2 0.1'}\n", + "msx.PARAMETERS = {''}\n", + "msx.PATERNS = {''}\n", + "d.writeMSXFile(msx)\n", + "sleep(.5)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e994c93b", + "metadata": {}, + "outputs": [], + "source": [ + "d.loadMSXFile(msx.FILENAME)\n", + "d.unloadMSX()\n", + "d.unload()" + ] + } + ], + "metadata": { + "jupytext": { + "cell_metadata_filter": "-all", + "main_language": "python", + "notebook_metadata_filter": "-all" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/notebooks/EX15_add_multiple_controls_pipestatus.ipynb b/examples/notebooks/EX15_add_multiple_controls_pipestatus.ipynb index 89d6b8d..3bd85ac 100644 --- a/examples/notebooks/EX15_add_multiple_controls_pipestatus.ipynb +++ b/examples/notebooks/EX15_add_multiple_controls_pipestatus.ipynb @@ -1,83 +1,108 @@ { "cells": [ { - "cell_type": "markdown", - "id": "c384c400", + "cell_type": "code", + "execution_count": null, + "id": "44536204", "metadata": {}, + "outputs": [], "source": [ - "### Defines pattern time for pipe status.\n", - "\n", - "This example contains:\n", - "* Add paths and load inp file.\n", - "* Get times.\n", - "* Get Pipe infos.\n", - "* Find the max length of link pipe names.\n", - "* Times.\n", - "* Create random status for pipes every hour.\n", - "* Unload library." + "\"\"\" Defines pattern time for pipe status.\n", + " This example contains:\n", + " Add paths and load inp file.\n", + " Get times.\n", + " Get Pipe infos.\n", + " Find the max length of link pipe names.\n", + " Times.\n", + " Create random status for pipes every hour.\n", + " Unload library.\n", + "\"\"\"\n", + "import random\n", + "import time" ] }, { "cell_type": "code", - "execution_count": 1, - "id": "c06a96a8", + "execution_count": null, + "id": "8c057251", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "EPANET version 20200 loaded (EPyT version 1.0.5).\n", - "Input File Net1.inp loaded successfully.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ "import pandas as pd\n", - "import random\n", - "import time\n", - "from epyt import epanet\n", - "\n", - "# Load network\n", - "d = epanet('Net1.inp')" + "from epyt import epanet" ] }, { "cell_type": "code", - "execution_count": 2, - "id": "0b4343bc", + "execution_count": null, + "id": "da02ee6b", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Create random status\n", - "\n", - " Overall time is 0.006897926330566406 sec\n" - ] - } - ], + "outputs": [], "source": [ "start = time.time()\n", + "# Load inp file.\n", + "d = epanet('Net1.inp')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c485f7c5", + "metadata": {}, + "outputs": [], + "source": [ + "# Close any open figures\n", + "d.plot_close()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "dece5a62", + "metadata": {}, + "outputs": [], + "source": [ "# Get times.\n", "hydstep = d.getTimeHydraulicStep()\n", - "duration = d.getTimeSimulationDuration()\n", - "\n", + "duration = d.getTimeSimulationDuration()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "527e91ea", + "metadata": {}, + "outputs": [], + "source": [ "# Get Pipe infos.\n", "pipe_count = d.getLinkPipeCount()\n", "pipeIDs = d.getLinkPipeNameID()\n", "# Find the max length of link pipe names.\n", - "spsmax = len(max(pipeIDs, key=len))\n", - "\n", + "spsmax = len(max(pipeIDs, key=len))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "89dc1719", + "metadata": {}, + "outputs": [], + "source": [ "# Times.\n", "hrs = int(duration / 3600)\n", "hours = list(range(0, hrs))\n", "# step = list(range(0,hydstep))/list(range(60,55)) # step 30min\n", "Time = []\n", - "Controls = []\n", - "\n", + "Controls = []" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5097fb09", + "metadata": {}, + "outputs": [], + "source": [ "for u in range(hrs):\n", " status = []\n", " # Create random status for pipes every hour.\n", @@ -87,85 +112,69 @@ " for npp in range(pipe_count):\n", " Time.append('0%d:00:00' % (hours[u]))\n", " Controls.append('LINK ' + pipeIDs[npp] + ' ' + status[npp] + ' AT CLOCKTIME ' + '0%d:00:00' % (hours[u]))\n", - " d.addControls('LINK ' + pipeIDs[npp] + ' ' + status[npp] + ' AT CLOCKTIME ' + '0%d:00:00' % (hours[u]))\n", - "\n", - "print('Create random status')\n", - "# Print overall run time\n", - "stop = time.time()\n", - "print(f'\\n Overall time is {stop - start} sec')" + " d.addControls('LINK ' + pipeIDs[npp] + ' ' + status[npp] + ' AT CLOCKTIME ' + '0%d:00:00' % (hours[u]))" ] }, { "cell_type": "code", - "execution_count": 3, - "id": "f711f290", + "execution_count": null, + "id": "3615fff5", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\mkiri\\OneDrive - University of Cyprus\\GITHUB\\EPyT\\epyt\\epanet.py:11809: UserWarning: WARNING: System has negative pressures.\n", - " warnings.warn(errmssg.value.decode())\n" - ] - }, - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "d.plot_ts(Y=pd.DataFrame(d.getComputedHydraulicTimeSeries().Flow), title='Change status of pipes every hour',\n", + "print('Create random status')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "727b2baf", + "metadata": {}, + "outputs": [], + "source": [ + "d.plot_ts(Y=pd.DataFrame(d.getComputedHydraulicTimeSeries('flow').Flow), title='Change status of pipes every hour',\n", " xlabel='Time (hrs)', marker=False, color='b', fontsize=8)" ] }, { "cell_type": "code", - "execution_count": 4, - "id": "45e97c63", + "execution_count": null, + "id": "fcd6a87e", + "metadata": {}, + "outputs": [], + "source": [ + "d.plot_show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6241c97b", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Close toolkit for the input file \"Net1\". EPANET Toolkit is unloaded.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ "# Unload library.\n", "d.unload()" ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9b98b413", + "metadata": {}, + "outputs": [], + "source": [ + "# Print overall run time\n", + "stop = time.time()\n", + "print(f'\\n Overall time is {stop - start} sec')" + ] } ], "metadata": { - "kernelspec": { - "display_name": "Python 3.10.6 64-bit (windows store)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.6" - }, - "vscode": { - "interpreter": { - "hash": "0df096debc758afc4e07b4a6d7176310e13b87e5b446a84739768769d4d90649" - } + "jupytext": { + "cell_metadata_filter": "-all", + "main_language": "python", + "notebook_metadata_filter": "-all" } }, "nbformat": 4, diff --git a/examples/notebooks/EX16_change_status_pipes.ipynb b/examples/notebooks/EX16_change_status_pipes.ipynb index acb3e68..f609b00 100644 --- a/examples/notebooks/EX16_change_status_pipes.ipynb +++ b/examples/notebooks/EX16_change_status_pipes.ipynb @@ -1,67 +1,79 @@ { "cells": [ { - "cell_type": "markdown", - "id": "465e1b4e", + "cell_type": "code", + "execution_count": null, + "id": "e4e52fbf", "metadata": {}, + "outputs": [], "source": [ - "### Changes status randomly at pipes during simulation.\n", + "\"\"\" Changes status randomly at pipes during simulation.\n", "\n", - "This example contains:\n", - "* Load a network.\n", - "* Get pipe count.\n", - "* Get pipe indices.\n", - "* Run step by step hydraulic analysis.\n", - "* Set status random 0/1 for pipes.\n", - "* Plot flows.\n", - "* Unload library.\n" + " This example contains:\n", + " Load a network.\n", + " Get pipe count.\n", + " Get pipe indices.\n", + " Run step by step hydraulic analysis.\n", + " Set status random 0/1 for pipes.\n", + " Plot flows.\n", + " Unload library.\n", + " \n", + "\"\"\"\n", + "import random" ] }, { "cell_type": "code", - "execution_count": 1, - "id": "e6b64c0d", + "execution_count": null, + "id": "53c8c697", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "EPANET version 20200 loaded (EPyT version 1.0.5).\n", - "Input File Net1.inp loaded successfully.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ - "import random\n", - "from epyt import epanet\n", - "\n", - "# Load network\n", + "from epyt import epanet" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1c999d26", + "metadata": {}, + "outputs": [], + "source": [ + "# Load a network.\n", "d = epanet('Net1.inp')" ] }, { "cell_type": "code", - "execution_count": 2, - "id": "616ea35a", + "execution_count": null, + "id": "f7b34fc8", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\mkiri\\OneDrive - University of Cyprus\\GITHUB\\EPyT\\epyt\\epanet.py:11809: UserWarning: WARNING: System has negative pressures.\n", - " warnings.warn(errmssg.value.decode())\n" - ] - } - ], + "outputs": [], + "source": [ + "# Close any open figures\n", + "d.plot_close()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "30bec39f", + "metadata": {}, + "outputs": [], "source": [ "# Get pipe count.\n", "pipe_count = d.getLinkPipeCount()\n", "# Get pipe indices.\n", - "pipe_indices = d.getLinkPipeIndex()\n", - "\n", + "pipe_indices = d.getLinkPipeIndex()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "939f895d", + "metadata": {}, + "outputs": [], + "source": [ "# Run step by step hydraulic analysis.\n", "d.openHydraulicAnalysis()\n", "d.initializeHydraulicAnalysis()\n", @@ -79,19 +91,10 @@ }, { "cell_type": "code", - "execution_count": 3, - "id": "78bca89b", + "execution_count": null, + "id": "772005ac", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# Plot flows.\n", "d.plot_ts(Y=F, marker=None, color=None, title='Flows')" @@ -99,47 +102,22 @@ }, { "cell_type": "code", - "execution_count": 4, - "id": "a1433c19", + "execution_count": null, + "id": "03b15ee8", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Close toolkit for the input file \"Net1\". EPANET Toolkit is unloaded.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ + "d.plot_show()\n", "# Unload library.\n", "d.unload()" ] } ], "metadata": { - "kernelspec": { - "display_name": "Python 3.10.6 64-bit (windows store)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.6" - }, - "vscode": { - "interpreter": { - "hash": "0df096debc758afc4e07b4a6d7176310e13b87e5b446a84739768769d4d90649" - } + "jupytext": { + "cell_metadata_filter": "-all", + "main_language": "python", + "notebook_metadata_filter": "-all" } }, "nbformat": 4, diff --git a/examples/notebooks/EX17a_external_controls.ipynb b/examples/notebooks/EX17a_external_controls.ipynb index a890628..6e9c747 100644 --- a/examples/notebooks/EX17a_external_controls.ipynb +++ b/examples/notebooks/EX17a_external_controls.ipynb @@ -1,77 +1,105 @@ { "cells": [ { - "cell_type": "markdown", - "id": "93f0accc", + "cell_type": "code", + "execution_count": null, + "id": "79c59b4a", "metadata": {}, + "outputs": [], "source": [ - "## a) External Controls, Changes control status of pump STEP BY STEP\n", + "\"\"\" a) External Controls, Changes control status of pump STEP BY STEP.\n", "\n", "This example contains:\n", - "* Load network.\n", - "* Delete Controls.\n", - "* Hydraulic analysis STEP-BY-STEP.\n", - "* CONTROLS.\n", - "* Add new controls in live.\n", - "* Unload library." + " Load network.\n", + " Delete Controls.\n", + " Hydraulic analysis STEP-BY-STEP.\n", + " CONTROLS.\n", + " Add new controls in live.\n", + " Unload library.\n", + " \n", + "\"\"\"\n", + "from epyt import epanet" ] }, { "cell_type": "code", - "execution_count": 1, - "id": "5d89f3aa", + "execution_count": null, + "id": "0f50466a", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "EPANET version 20200 loaded (EPyT version 1.0.5).\n", - "Input File Net1.inp loaded successfully.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ - "from epyt import epanet\n", - "\n", - "# Load network\n", + "# Second way\n", + "# Load network.\n", "d = epanet('Net1.inp')" ] }, { "cell_type": "code", - "execution_count": 2, - "id": "34262c7f", + "execution_count": null, + "id": "0b167ef3", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Hydraulic Analysis completed succesfully.\n" - ] - } - ], + "outputs": [], + "source": [ + "# Close any open figures\n", + "d.plot_close()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "03b6ce31", + "metadata": {}, + "outputs": [], "source": [ - "# First way\n", "# Delete Controls.\n", "d.deleteControls()\n", "tankID = '2'\n", - "pumpID = '9'\n", - "\n", + "pumpID = '9'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "362863fa", + "metadata": {}, + "outputs": [], + "source": [ "tankIndex = d.getNodeIndex(tankID)\n", "pumpIndex = d.getLinkIndex(pumpID)\n", - "tankElevation = d.getNodeElevations(tankIndex)\n", - "\n", + "tankElevation = d.getNodeElevations(tankIndex)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5e328b9a", + "metadata": {}, + "outputs": [], + "source": [ "# Hydraulic analysis STEP-BY-STEP.\n", "d.openHydraulicAnalysis()\n", - "d.initializeHydraulicAnalysis(0)\n", - "\n", + "d.initializeHydraulicAnalysis(0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "69c4c39a", + "metadata": {}, + "outputs": [], + "source": [ "tstep = 1\n", "i = 0\n", - "T, P, F, S = [], [], [], []\n", - "\n", + "T, P, F, S = [], [], [], []" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b48c1524", + "metadata": {}, + "outputs": [], + "source": [ "# CONTROLS.\n", "Below = 110\n", "Above = 140\n", @@ -97,93 +125,57 @@ " P.append(d.getNodePressure(1))\n", " T.append(t)\n", "\n", - " tstep = d.nextHydraulicAnalysisStep()\n", - "\n", - "d.closeHydraulicAnalysis()\n", - "print(\"Hydraulic Analysis completed succesfully.\")" + " tstep = d.nextHydraulicAnalysisStep()" ] }, { "cell_type": "code", - "execution_count": 3, - "id": "570cdfd3", + "execution_count": null, + "id": "620b80b7", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "d.plot_ts(Y=tankHead, title='Tank Head', marker=False)" + "d.closeHydraulicAnalysis()" ] }, { "cell_type": "code", - "execution_count": 4, - "id": "52a3c2cb", + "execution_count": null, + "id": "71141653", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ + "# Unload library.\n", + "d.unload()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9cdc13ba", + "metadata": {}, + "outputs": [], + "source": [ + "d.plot_ts(Y=tankHead, title='Tank Head', marker=False)\n", "d.plot_ts(Y=S, title='Link Status', marker=False)" ] }, { "cell_type": "code", - "execution_count": 5, - "id": "8682b13d", + "execution_count": null, + "id": "ff5042fc", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Close toolkit for the input file \"Net1\". EPANET Toolkit is unloaded.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ - "# Unload library.\n", - "d.unload()" + "d.plot_show()" ] } ], "metadata": { - "kernelspec": { - "display_name": "Python 3.10.6 64-bit (windows store)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.6" - }, - "vscode": { - "interpreter": { - "hash": "0df096debc758afc4e07b4a6d7176310e13b87e5b446a84739768769d4d90649" - } + "jupytext": { + "cell_metadata_filter": "-all", + "main_language": "python", + "notebook_metadata_filter": "-all" } }, "nbformat": 4, diff --git a/examples/notebooks/EX17b_external_controls.ipynb b/examples/notebooks/EX17b_external_controls.ipynb index c80b64f..eaa6fe5 100644 --- a/examples/notebooks/EX17b_external_controls.ipynb +++ b/examples/notebooks/EX17b_external_controls.ipynb @@ -1,78 +1,105 @@ { "cells": [ { - "cell_type": "markdown", - "id": "f6277b1c", + "cell_type": "code", + "execution_count": null, + "id": "246276d1", "metadata": {}, + "outputs": [], "source": [ - "### External Controls, Adds controls in hydraulic analysis STEP-BY-STEP.\n", - " \n", - "This example contains:\n", - "* Load network.\n", - "* Delete Controls.\n", - "* Hydraulic analysis STEP-BY-STEP.\n", - "* Add new controls in live.\n", - "* Delete controls.\n", - "* Unload library." + "\"\"\" b) External Controls, Adds controls in hydraulic analysis STEP-BY-STEP.\n", + " This example contains:\n", + " Load network.\n", + " Delete Controls.\n", + " Hydraulic analysis STEP-BY-STEP.\n", + " CONTROLS.\n", + " Add new controls in live.\n", + " Delete controls.\n", + " Unload library.\n", + "\"\"\"\n", + "from epyt import epanet" ] }, { "cell_type": "code", - "execution_count": 1, - "id": "69467685", + "execution_count": null, + "id": "951bcdae", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "EPANET version 20200 loaded (EPyT version 1.0.5).\n", - "Input File Net1.inp loaded successfully.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ - "from epyt import epanet\n", - "\n", - "# Load network\n", + "# Second way\n", + "# Load network.\n", "d = epanet('Net1.inp')" ] }, { "cell_type": "code", - "execution_count": 2, - "id": "9b0ded79", + "execution_count": null, + "id": "bba90aa8", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Hydraulic Analysis completed succesfully.\n" - ] - } - ], + "outputs": [], + "source": [ + "# Close any open figures\n", + "d.plot_close()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1a1f1fb9", + "metadata": {}, + "outputs": [], "source": [ - "# Second way\n", "# Delete Controls.\n", "d.deleteControls()\n", "tankID = '2'\n", - "pumpID = '9'\n", - "\n", + "pumpID = '9'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "80751087", + "metadata": {}, + "outputs": [], + "source": [ "tankIndex = d.getNodeIndex(tankID)\n", "pumpIndex = d.getLinkIndex(pumpID)\n", - "tankElevation = d.getNodeElevations(tankIndex)\n", - "\n", + "tankElevation = d.getNodeElevations(tankIndex)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "379d9479", + "metadata": {}, + "outputs": [], + "source": [ "# Hydraulic analysis STEP-BY-STEP.\n", "d.openHydraulicAnalysis()\n", - "d.initializeHydraulicAnalysis(0)\n", - "\n", + "d.initializeHydraulicAnalysis(0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d151cc91", + "metadata": {}, + "outputs": [], + "source": [ "tstep = 1\n", "i = 0\n", "T, P, F, S = [], [], [], []\n", - "tankHead = []\n", - "\n", + "tankHead = []" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "343893e3", + "metadata": {}, + "outputs": [], + "source": [ "# CONTROLS\n", "while tstep > 0:\n", " H = d.getNodeHydraulicHead()\n", @@ -102,91 +129,47 @@ "\n", " # Delete controls.\n", " d.deleteControls()\n", - "d.closeHydraulicAnalysis()\n", - "print(\"Hydraulic Analysis completed succesfully.\")" + "d.closeHydraulicAnalysis()" ] }, { "cell_type": "code", - "execution_count": 3, - "id": "693c3688", + "execution_count": null, + "id": "04ff8a66", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "d.plot_ts(Y=tankHead, title='Tank Head', marker=False)" + "# Unload library.\n", + "d.unload()" ] }, { "cell_type": "code", - "execution_count": 4, - "id": "77d08bbe", + "execution_count": null, + "id": "f28d2083", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": "
    ", - "image/png": "iVBORw0KGgoAAAANSUhEUgAAA6YAAAMQCAYAAAA0EXiDAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAC4jAAAuIwF4pT92AACKLklEQVR4nO3deZgU1dn+8btnoWeAAVkERBjEQQUREIEQEAEj7q+DImgSY0DFRImiEY1Gg0iCGo0Lhkg0JoIxRg2CIkbQaHBAHDZFFgFlkH1H1hlmerb+/eFPQp3qYbp7uruqu76f6/K63jp2VT28xrLvPk+d4wsGg0EBAAAAAOCQNKcLAAAAAAB4G8EUAAAAAOAogikAAAAAwFEEUwAAAACAowimAAAAAABHEUwBAAAAAI4imAIAAAAAHEUwBQAAAAA4imAKAAAAAHAUwRQAAAAA4CiCKQAAAADAUQRTAAAAAICjCKYAAAAAAEcRTAEAAAAAjiKYAgAAAAAcRTAFAAAAADiKYAoAAAAAcBTBFAAAAADgKIIpAAAAAMBRBFMAAAAAgKMIpgAAAAAARxFMAQAAAACOIpgCAAAAABxFMAUAAAAAOIpgCgAAAABwFMEUAAAAAOAogikAAAAAwFEEUwAAAACAowimAAAAAABHEUwBAAkxdepU+Xw+y18bN250uqxamTU/9NBDTpcEAEDKyXC6AAAAkDgbNmzQ8uXLtXfvXh08eFClpaWqX7++GjRooFatWumUU05R+/bt1ahRI6dLBQB4CMEUADxq48aNat++vWVswIAB+uijj5wpCHFTUFCgv/71r5o9e7a++eabWj/v8/mUl5enXr166dxzz9Ull1yivLy8BFQKAPAqWnkBAEhRX3zxhfr27auBAwfqH//4R1ihVJKCwaCKior06quv6rbbblOHDh3UvXv3sM596KGHbO3PyWjjxo22P8fUqVOdLgsAUhbBFACAFPT3v/9d55xzjgoLC2NyvQ0bNsTkOgAAhEIrLwAAKeaVV17RDTfcoOrqatvfa9y4sQYNGqSuXbuqTZs2ysnJUSAQ0P79+7V161Z9+umn+vTTT3XgwIHEFw4A8CyCKQAgIUaMGKERI0Y4XUbK27p1q2655RZbKG3VqpUmTJign/zkJ/L7/ce9RnV1tT7++GPNmDFDb7zxhrZt2xbPkgEAIJgCAJBKHnjgARUXF1vGzjjjDH3wwQdq06ZNWNdIS0tT//791b9/fz3xxBN688039Y9//CMe5QIAIIl3TAEASBmBQEAzZsywjPl8Pv3zn/8MO5SaMjIyNGzYMM2cOTMWJQIAEBLBFACAFDF//nzbbGnfvn11zjnnOFQRAADhoZUXAJASDh48qIULF2rdunU6ePCgGjZsqBNPPFHnnHOOOnbs6HR5CbFp0ybbWI8ePRyoJL5KS0v11Vdfae3atdq7d68OHTqkjIwMNWnSRM2bN9fZZ5+tU045xekyXa2qqkrr1q3TypUrtWfPHh06dEhVVVWqX7++GjVqpLZt26p9+/bKy8tTWhrzGAASIAgA8KQNGzYEJVn+GjBgQNzuN2XKFNv9NmzYUOt5w4cPt5zTrl07y99ftmxZ8Oqrrw5mZmbarn/sOZMmTQqWl5dHXLd5rXHjxkV0fiAQCF533XW267Rp0ya4YsWKiOs5nkceecR2n1//+tcxvUcoAwYMqPH/9+H+NWXKlBqvX11dHfz444+Dv/rVr4Lf+973ghkZGbVer02bNsE77rgjuGnTprD/HKH+NxrpXzX9O2T+/yjaf9ei/ffoO0uXLg3edNNNwcaNG4f152nUqFFw0KBBwaeffjq4ZcuWqGoGgHDwExgAICkFg0GNHTtWPXv21PTp01VRUVHjZzdt2qTbb79dvXv31u7duxNW4/79+3XRRRfplVdesYyfffbZWrRokbp06RLT+2VlZdnGQs2iJpOCggK1a9dO/fr10+OPP67FixersrKy1vO2bt2qZ555Rnl5eRo7dmzIrXO8JBAI6Oc//7m+973v6W9/+5sOHjwY1nmHDh3SBx98oF/+8pcaOnRonKsE4GUEUwBA0qmurtb111+vCRMmqKqqKuzzli1bpv79+9vew4yHDRs2qG/fviooKLCMX3LJJZo/f75at24d83u2atXKNjZnzhwdPnw45vdKlA0bNmjLli1Rn19ZWakJEyZo8ODBYQXaVFReXq7LL79cf/nLXzwf0AG4F++YAgCSzgMPPGCZhWzbtq0uv/xydenSRc2bN1dxcbHWrFmj6dOna8OGDZZzv/zyS913333605/+FLf6Fi9erCuuuMI2O3vzzTdr8uTJysiIz39++/btaxvbt2+fbr75Zr388svKzMyMy307dOigAwcOSJJ27typXbt2Wf5+t27dar1G06ZNw7pXq1at1KNHD3Xq1EmnnHKKGjVqpPr166ukpES7d+/WypUrNWfOHNv/79955x3df//9evzxx49bw3e1lpeXa82aNZa/37Zt21rr7NChQ1h/jkR69NFH9eGHH9rG27Ztq4suukhnnnmmWrZsqaysLB05ckSHDh1SUVGRVq1apcLCQpWUlDhQNQDPcbqXGADgjGR9x7RevXpBn88XlBTMyckJ/uUvfwlWVlaGPDcQCATvvfde233T09ODW7duDatu89za3jGdMWNGMDs723KOz+cLPvLII2Hdr6569uwZ8l3BLl26BF977bVgIBCI6/3HjRtnu3ddTJkyJXjqqacGJ0yYEFy+fHlY51RWVgb/8Y9/BFu1amX757B48eKwrhHq34/jvQdbG6feMS0tLQ02bNjQ8vn69esHX3zxxWBVVVWt9ysrKwu+//77wR/96EfB/v37R1UzAISDVl4AQFIpLy9XMBhU06ZNNX/+fN18881KT08P+dl69erp97//vW6++WbLeFVVlaZMmRLz2p555hkNHTpUpaWlR8f8fr9eeeUV/frXv475/UIZP358yPGVK1fqhz/8oZo3b64hQ4boySefDLm9jNtcffXVKioq0gMPPKCuXbuGdU56erquu+46LVq0SLm5uUfHg8Ggnn766XiV6koffvih7Z/x5MmTdcMNN4S12q7f79eFF16of/7zn5o9e3a8ygQA3jEFACSnKVOmhNUiKkm///3vbQsDvffeezGrpbq6WnfccYfuvPNOyzt8TZo00fvvv68f/ehHMbtXbS677DLdeeedNf79w4cP680339Tdd9+t/v37q3HjxjrzzDM1fPhw/fWvf9VXX32VsFrDkZOTI5/PF9W5ubm5mjx5smVs2rRpYS/8kwq+/vpry3F2drauu+66qK5Vv379WJQEACERTAEASWfAgAHKz88P+/NNmzbVZZddZhn7/PPPY7IQzJEjRzRkyBD98Y9/tIy3b99en3zyifr371/ne0TqySef1G9+85uwZsSqq6u1Zs0a/f3vf9fNN9+sM844Q506ddIjjzxie1c0GV166aVq3rz50ePKykotWrTIwYoSy1z4qnHjxnF7xxkA6oJgCgBIOmZrbji+973vWY6Li4u1bdu2OtWxa9cuDRw4UDNnzrTda+HCherYsWOdrh+ttLQ0/e53v9P8+fM1cODAiM9fu3atHnjgAeXl5emhhx5SWVlZ7ItMkLS0NOXl5VnGFi5c6FA1idesWTPL8a5du1RUVORQNQBQM34yAwAknQEDBkR8jhlOJOngwYNq27ZtVDWsWbNGl112mTZu3GgZHzx4sP75z3+6ou2xb9++mjt3rpYuXap//OMfmj59urZu3Rr2+SUlJRo/frzeffddvfnmmzr55JPjWG34Vq1apSVLlmjFihXatGmTDh06pMOHDysQCIT8vBnENm/enIgyXaF3796W42AwqB/+8Id68803o/7fPgDEA8EUAJBUsrKy1KZNm4jPa9y4sW0s2ncN586dqyFDhhzdIuU7o0eP1tNPPx1WC20i9ezZUz179tTEiRO1fv16zZ8/X4sWLdJnn32mlStXWhZrCmXJkiU6//zztXjxYp1wwgmJKdoQCAQ0adIkTZkyRatXr67Ttcx/bqns7LPPVvfu3bVs2bKjY59++qlOP/10XXPNNbrmmmv0gx/8QNnZ2Q5WCQAEUwBAkgl3v0tTqD08KyoqIr7O7Nmz9eijj6q8vPzoWFpamp588snjLjrkFnl5ecrLy9OIESMkfbtC8fLlyzVv3jzNmDFDH3/8sYLBoO28devW6aabbtL06dMTXLG0YMECDR8+XOvXr4/J9by0+JH07Sq8AwcOtMwol5WV6e9//7v+/ve/q169eurVq5e+//3vq3fv3urfv79atmzpYMUAvMhdP+kCAFCLUAEzkRYvXmwJpZL01FNPJUUoDSU9PV3nnHOO7rzzTs2bN09ffPFFjQtLzZgxQ0uWLElofXPnztVFF10Us1AqRfeDRDL7/ve/r3feeceyCNSxysvLtWDBAj355JO65ppr1KpVK5155pl68MEH9eWXXya4WgBeRTAFACACoVY0ffzxx7VmzRoHqom9Tp06aebMmXrooYdC/v2//e1vCatl//79uvbaa3XkyBHLeFpami666CI9+uijmjNnjr744gvt3btXxcXFqqqqUjAYtPwVzTvJqWbQoEH68ssv9etf/7rGgHqsNWvW6He/+506deqkoUOHasOGDQmoEoCXEUwBAIjAnXfeqUGDBlnGtm/frgEDBlje40t248aN00UXXWQb//DDDxNWwyOPPKI9e/ZYxnr27Km1a9fqvffe03333aeLL75YZ555ppo1a6YGDRqEfL+3tndovaJp06Z65JFHtGPHDs2ZM0d33323vve976levXo1nhMMBjV9+nSdffbZMd37FwBMBFMAACLQoEEDvfPOO7Z21z179ugHP/iBCgsLHaos9kaPHm0bW79+vaqqqhJy/9dee81y3LZtW33wwQc67bTTIrrOvn37YlmWo2LRhpyRkaGLL75Yf/jDH7Ro0SIdOnRI8+fP16OPPqqBAweG7Ao4dOiQrr76an311Vd1vj8AhEIwBQAgQn6/X9OnT9cPf/hDy/iBAwd00UUX6b///a9DlcWWufer9O0M2jfffBP3e69Zs8a2tc3o0aNDrq58PBUVFRFtkRMv5rvR0QbMePz/3u/3q1+/frrvvvs0d+5c7dy5U4899phtBeaSkhKNHTs25vcHAIlgCgBAVDIyMvTKK69o5MiRlvHi4mJdfvnl+ve//+1QZbFTUwgMNaMWa1u2bLGNnXfeeRFfZ9myZSorK4tFSXXSqFEjy/GhQ4eiuo65J2s8NGvWTL/61a+0cOFC5eTkWP7eO++8U+N+sQBQFwRTAACilJaWphdeeMG2Im9ZWZmuuuoqTZs2zZnCYmTXrl22sXr16qlJkyY1nhMqtEbT+rt3717bWDRbBb3++usRnyPF7s/xHXP2cePGjSG35alNQUFB1DVE6owzztBNN91kGTty5EhMV0gGgO8QTAEAqKOnn35av/nNbyxjFRUV+tGPfqSpU6c6U1QMhGpJbt++vXw+X43nmDNs0rezyJFq0KCBbSxUWD2eAwcO6MUXX4z43lLs/hzfOeOMM2zXWr16dUTXmDt3bkJmTI/VsWNH25jX9oEFkBgEUwAAYuB3v/udHn/8cctYVVWVbrzxRj377LMJqeGzzz7T/PnzY3Kt8vJyPfHEE7bxyy+//LjnhZpN/frrryO+/0knnWQbe//99yO6xm233aYDBw5EfG/p22BqzppG8+f4To8ePWxj//znP8M+v6KiQvfdd1/U94/Wjh07bGMnnnhiwusAkPoIpgAAxMg999yjyZMnW2YUg8GgbrvtNj322GNxv/9XX32l/v376wc/+IH++9//RtUqKn0bgkaMGKFVq1ZZxn0+n370ox8d99wuXbrYxt59992Ia+jevbsaNmxoGXvmmWfCXsjot7/9rV555ZWI7/udtLQ0nXnmmZax9957T9XV1VFdr2/fvrZ3dv/4xz9q06ZNtZ5bXV2t2267TYsXL474vk8//bT+85//RHye9O17sOaM/wknnKB27dpFdT0AOB6CKQAAMXTrrbdq6tSpSk9Pt4zfd999tnbfeJk7d64uuOAC5eXlaezYsWG3jFZXV2vOnDnq1auXXn31VdvfHz58uHr27Hnca5x11lm2hX4effRRTZ06NaL9RDMzM3XllVdaxvbv368LLrhAK1asqPG87du368c//rHGjRt3dMysJ1x9+/a1HH/55ZcaOXJkWGHSlJ2drR//+MeWseLiYg0aNOi4/3yKiop0xRVX6C9/+YskKSsrK6L7FhQU6KKLLtJZZ52lRx55RGvXrg3rvC+++EKDBg2y/VmvueYa2wrDABALvmC0P6cCAJLaxo0b1b59e8tYgwYN1KFDhzpf+7rrrtM999xjGZs6dapuuOEGy9iGDRt0yimnHPdaI0aM0EsvvXT0uF27dtq4cWPENX300Uc6//zzLWNz587VwIEDj3ue+T7luHHj9NBDD9V6vxkzZuhHP/qRysvLLeN33HGHnn766eO+pxmt1157rcYZzaZNm6p3797q3r27WrRooWbNmikrK0vFxcXauXOnVq1apf/+978hWzclqVOnTpo/f76aNWtWax2/+MUvNHnyZNt4enq62rZtq5ycHKWlWX8b/+1vf2vbG/arr77SWWedZdtaJS0tTZdccol+8IMfqE2bNqqsrNSOHTv00Ucf6YMPPrCsGnvjjTdq/fr1lkWDBgwYoI8++qjWP8eSJUtCbpkjfdvOeuKJJ9pCWs+ePfXXv/415DmbN2/WWWedpcOHD1vGMzIydMUVV2jgwIFq1aqVysrKtG3bNs2dO1dz585VZWWlJKl58+a64447bFu2HO/foyuvvFIzZ860jJ1yyinq3r27unXrppYtW+qEE05QRkaGDh06pKKiIs2fP18LFiywzbg3a9ZMq1atUqtWrULeCwDqIv7rvQMAkkZJSYmWL19e5+vUFva8YMiQIZo5c6aGDBlimSl85plnVFJSoueff94WzuJp3759mj17tmbPnh3xud27d9d7770XViiVpLFjx2rGjBnauXOnZbyqqqrGHxX27dtnGzv99NM1adIk3XLLLZbx6upqvfvuu7W2CP/gBz/Q5MmTdfHFF4dVt6lXr14aMWJEyAWs9uzZoz179tjGzdV3j5Wbm6tJkyZpxIgRlvHKykq9+eabevPNN2s8t2HDhnrnnXe0Zs2acMuv0caNG7Vx48bj3s90wgknaMaMGYRSAHFDKy8AAHFyySWXaM6cObYVXv/617/qJz/5ydGZsFjp27ev7rjjjpi9A5iTk6M//OEPWrRoUUQL3rRq1Ur//e9/Qy74E6mf//znmjx5surVqxfReTfeeKPeffdd+f3+Ot3/ueee0x133BGzHxGGDx+uF198MaK9YE899VR9/PHH6t27d8T3i0WQ7NevnxYsWKD+/fvX+VoAUBOCKQAAcdS/f399+OGHtj04X331VV199dWWttO6ys3N1cSJE7Vx40YtW7ZMTz75pK666iq1bNky7Gs0bNhQF198saZMmaKtW7fq7rvvjuqdwk6dOmnJkiUqKCjQnXfeqfPPP19t2rRRo0aNbO/f1ubWW2/VZ599pmuvvfa4tdSrV09XXHGF5s2bp7/97W91DqWS5Pf7j/7/9PHHH9eQIUN0xhlnqFmzZhGH5e/ccMMN+uKLLzRs2LDj1ti6dWtNmDBBK1euVLdu3aK613PPPaeNGzfq2Wef1dChQ3XyySeHdV52draGDh2qWbNmaf78+baFoAAg1njHFAAAD/jmm2+0bt06ff311zpw4IAOHz6syspKNWzYUI0aNVKzZs3UuXNnnXrqqXF5/zVWSkpK9Mknn+jrr7/Wvn375PP51LRpU5122mnq1auXbSVftzty5IgWLFigTZs2ae/evfL5fGrZsqW6deums88+Oy7/LHbs2KGioiJt3LhR+/btU0lJidLS0pSTk6PmzZurc+fO6tixY0SzugBQVwRTAAAAAICjaOUFAAAAADiKYAoAAAAAcBTBFAAAAADgKIIpAAAAAMBRBFMAAAAAgKMIpgAAAAAARxFMAQAAAACOIpgCAAAAABxFMAUAAAAAOIpgCgAAAABwFMEUAAAAAOAogikAAAAAwFEEUwAAAACAowimAAAAAABHEUwBAAAAAI4imAIAAAAAHEUwBQAAAAA4imAKAAAAAHAUwRQAAAAA4CiCKQAAAADAURlOFwB3OHDggAoKCo4et23bVn6/38GKAAAAACRSIBDQli1bjh4PGDBAJ5xwQkLuTTCFJKmgoEBXXnml02UAAAAAcIm33npLgwcPTsi9aOUFAAAAADiKYAoAAAAAcBStvJD07Tulx3rrrbfUoUMHh6oBAAAAkGhFRUWW1/vMjBBPBFNIkm2how4dOqhz584OVQMAAADAaYlcDJVWXgAAAACAowimAAAAAABHEUwBAAAAAI4imAIAAAAAHEUwBQAAAAA4imAKAAAAAHAU28XEwZo1a/TZZ59px44dCgQCysnJUV5envr06aOmTZs6XR4AAAAAuIprg+k333yjpUuXasmSJVq8eLGWLFminTt3Wj4zbtw4PfTQQ84UaKioqNCf//xn/fGPf9T69etDfiY9PV0XXXSR7r//fvXr1y/BFQIAAACAO7kqmD711FNHg+jXX3/tdDlhW7dunYYMGaJVq1Yd93NVVVWaPXu2Zs+erdtuu01PPfWUMjMzE1QlAAAAALiTq4LpmDFjnC4hYmvWrFH//v21d+/eiM7705/+pC1btuiNN95QRoar/jEAAAAAQEKx+FEdHDp0SFdccYUtlPbu3Vuvvfaa1q1bp2+++UbLli3TuHHj1KxZM8vnZs6cqfvvvz+RJQMAAACA67g6mDZs2FADBgzQ3Xffrddff93pcmzGjx9ve5/0l7/8pQoLC3XttdeqQ4cOatq0qc4++2w99NBD+vzzz9W5c2fL55944gmtWLEikWUDAAAAgKu4qof0e9/7nnr16nX0r44dOyot7X/Z+dprr3WwOqtt27Zp8uTJlrErr7xSTz31VI3ntGnTRrNnz1bnzp11+PBhSVIwGNTYsWM1c+bMuNYLAAAAAG7lqmC6aNEip0sI2x/+8AeVlZUdPc7OzrYF1VDatm2r3/72t/rlL395dOztt9/W8uXL1a1bt7jUCgAAAABu5upWXrcKBoOaNm2aZWzYsGE66aSTwjr/xhtvVIMGDSxj5vUAAAAAwCsIplFYunSptm/fbhkbPnx42Oc3atRIV111lWWMVl4AAAAAXkUwjcLs2bMtx/Xq1VPfvn0jusbAgQMtx6tWrdLmzZvrWhoAAAAAJB2CaRTMVXTPOeccZWVlRXSNc8891za2cuXKOtUFAAAAAMmIYBqFtWvXWo47deoU8TVOO+00paenH/e6AAAAAOAFBNMIVVVVad26dZax3NzciK+Tnp6u1q1bW8YIpgAAAAC8yFXbxSSDvXv3qry83DLWtm3bqK6Vm5urLVu2HD3etm1bnWpLFasWL1HJocNOlwEArpGemaG8M89UkxObO10KADimorxc61as1OEDB50uJW7S0tPV6/wBTpfhCIJphIqLi21jjRo1iupa5nmhrh2N3bt3a8+ePRGdU1RUFJN7x8K///FPbfpqXe0fBAAP8Wdl6Zd/+L1yT+vgdCkAkHDV1dX6469/o/VfrHa6lLjyZ2URTBGeUOExOzs7qmuZ58UqmE6ePFnjx4+PybUAAO4QKCvTgvfeJ5gC8KSt679O+VDqdbxjGqGSkhLbWKQr8n4nXsEUAJCaDu3b53QJAOCIA99843QJiDNmTOE6Ldu0UXVVtdNlAIDjDh88qAN79x49LjtS6mA1AOCcQKn1+Zfp96tVmzYOVRM/mf56TpfgGIJphBo0aGAbKysri+papca/YA0bNozqOqZRo0Zp2LBhEZ1TVFSkK6+8Mib3r6sRvxrjdAkA4AoLZr+nV56ZdPTY/GIGAF5h/jDXNu9U3f3UHxyqBvFAMI1QqPBoBsxwxSuYtmjRQi1atIjJtQAAzvHXt77yUUYwBeBR5vMvK8o1XuBevGMaoVDh8dChQ1FdyzwvVsEUAJAazC9etPIC8CqzY8RPME05BNMINW/eXPXqWXu/j92LNBLmea1bt466LgBA6skyZkxp5QXgVWVHjliOzecjkh/BNELp6enq0MG6VP/mzZsjvk5VVZW2b99uGevUqVOdagMApBZ/dn3LcVlpqYLBoEPVAIBzmDFNfQTTKJgBcs2aNRFfo6ioSJWVlZaxjh071qkuAEBqMVt5g9XVqggEHKoGAJxjf8e0fg2fRLIimEaha9euluPPPvss4pV5P/74Y9tYly5d6lQXACC1hGpVYwEkAF5kvmNPK2/qIZhG4dJLL7Ucl5eXq7CwMKJrFBQUWI7POuss5ebm1rk2AEDqCNWqRjAF4EW08qY+gmkUevbsaVuo6KWXXgr7/MOHD2vGjBmWscGDB8ekNgBA6sisV09padb/VAdYmReAB7FdTOojmEbB5/Np2LBhlrFp06Zp586dYZ0/ZcoUlZSUWMaGDh0as/oAAKnB5/OxlykAyP6jnPlsRPLzfDD1+XyWvwYOHBjWeffcc4+ysrKOHh85ckS33XZbredt3bpVY8eOtYzl5+fr7LPPjqRsAIBH+LPYyxQAbDOmWQTTVOP5YBqtk08+WaNGjbKMTZ8+Xffcc0+NS/lv3bpVl156qQ4dOnR0zOfz6Xe/+11cawUAJC/7XqZHavgkAKQuM5gyY5p6Mpwu4Fiffvqppk2bFvbnP/jggxpXw23SpInuvffeWJUW0rhx4/TWW2/p66+/Pjr2xBNP6OOPP9Zdd92lHj16qEmTJtq8ebNmzpypSZMmae/evZZrjBkzxrbKLwAA3zHfo6KVF4DXVFVV2bbK4h3T1OOqYLpy5Uo99thjYX9+wYIFWrBgQci/165du7gH00aNGuntt9/WgAED9M033xwdX7hwoa655ppaz8/Pz9ejjz4azxIBAEnOXHmSxY8AeI25Iq/EjGkqopW3jjp37qwFCxaoc+fOEZ03atQovfHGG8rIcNVvAwAAlzFbeZkxBeA1oZ57zJimHoJpDJxxxhlatmyZJk6cqFNPPbXGz6WlpemSSy7RvHnz9OyzzyozMzOBVQIAkpFtxrQ09CssAJCqQj332Mc09bhqum7EiBEaMWJEQu9Z00JFkcrMzNQdd9yhO+64Q1988YWWLVum7du3q7y8XDk5OcrLy1OfPn3UrFmzmNwPAOANWdn1LcdlLH4EwGPMRd8y/X6lp6c7VA3ixVXBNFV07tw54tZeAABCsa/KSysvAG8xt8mijTc10coLAICLme1q7GMKwGtse5gSTFMSwRQAABdjuxgAXmeuRs6KvKmJYAoAgIvRygvA65gx9QaCKQAALkYrLwCvM3+QY0Xe1EQwBQDAxcyZAWZMAXiNbfEjWnlTEsEUAAAX89c3t4shmALwFnObLFp5UxPBFAAAFws1Y1pdXe1QNQCQeLTyegPBFAAAFws1M1BeVuZAJQDgDHsrb/0aPolkRjAFAMDFQm2LQDsvAC9hxtQbCKYAALhYqBlTc08/AEhlbBfjDQRTAABcLCMzU+kZGZYxZkwBeInZyuvPznKoEsQTwRQAAJczZwcIpgC8xGzlzcrmHdNURDAFAMDlzPepaOUF4CXmj3Gh3r1H8iOYAgDgcuZm8uaefgCQygLsY+oJBFMAAFzOnDGllReAV1RWVKiyotIyRjBNTQRTAABczvwSFihlH1MA3hAIsW8zrbypiWAKAIDLma285kIgAJCqzBV5JWZMUxXBFAAAl/MbK1CWHeEdUwDeYL5fKkn1stguJhURTAEAcDl7Ky8zpgC8wb6HabbS0ogwqYh/qgAAuJz5PhWLHwHwCvN5Rxtv6iKYAgDgcuYXsVDvXAFAKjI7RMxVypE6CKYAALgcrbwAvMr8Ic5cDA6pg2AKAIDL0coLwKvM5x0zpqmLYAoAgMvZZkxp5QXgEWaHCO+Ypi6CKQAALpdlbhfDjCkAjzC3x6KVN3URTAEAcDlaeQF4FYsfeQfBFAAAlzNb1yoCAVVVVTlUDQAkjn27mPo1fBLJjmAKAIDLmTOmEivzAvAGVuX1DoIpAAAul5Vl/yJGOy8AL7C18mZlOVQJ4o1gCgCAy4WcMWVlXgAeYNsuhhnTlEUwBQDA5dLT05VZr55ljBlTAF5g/gjHdjGpi2AKAEASMFeiZMYUgBfYZkxZ/ChlEUwBAEgC5oIfZaVHavgkAKQO81nH4kepi2AKAEASMNvXAqVlDlUCAIkRDAZtzzpaeVMXwRQAgCRgtvLyjimAVFdZUaFqY89mFj9KXQRTAACSgNm+xj6mAFKduYepxIxpKiOYAgCQBMwFP0J9YQOAVBLqBziCaeoimAIAkATML2MsfgQg1ZnPOV9amjL9foeqQbwRTAEASAK08gLwGrMzJCs7Wz6fz6FqEG8EUwAAkoBt8SNaeQGkOPMHOPM5iNRCMAUAIAnYt4shmAJIbebq4+xhmtoIpgAAJAFziwS2iwGQ6kK18iJ1EUwBAEgCtsWPaOUFkOJo5fUWgikAAEkgy9guhlZeAKmu7Ih1VV5aeVMbwRQAgCRAKy8ArzGfc8yYpjaCKQAAScC++BH7mAJIbWZniNk5gtRCMAUAIAn4s7Msx5UVlaqsqHCoGgCIP/NdevM5iNRCMAUAIAmEWo2Sdl4Aqcw+Y0orbyojmAIAkAT8IVrYAqzMCyCF2d4xZfGjlEYwBQAgCYRqYWPGFEAqYx9TbyGYAgCQBNLS0uTPsoZTgimAVMbiR95CMAUAIEmYWyWwlymAVBYoo5XXSwimAAAkCXNzeYIpgFRGK6+3EEwBAEgS5oyp+aUNAFJFMBhUoKzMMmY+A5FaCKYAACQJc7aAd0wBpKryQEDB6mrLmNk1gtRCMAUAIEmY71fRygsgVYXqCKGVN7URTAEASBLmipRlR444VAkAxFeg1P58C7WfM1IHwRQAgCRhzhYwYwogVZkzpukZGcqsl+lQNUgEgikAAEnCbOXlHVMAqcp8vtHGm/oIpgAAJAnb4kesygsgRZkdIazIm/oIpgAAJAlaeQF4hW0PU1bkTXkEUwAAkgStvAC8ghlT7yGYAgCQJGwzprTyAkhRZcaqvLxjmvoIpgAAJAlzqwRmTAGkKlp5vYdgCgBAkjC/mJkzCgCQKuytvOxhmuoIpgAAJAl/VpblOHCkVMFg0KFqACB+zI4Qf3ZWDZ9EqiCYAgCQJMwZ0+rqalWUlztUDQDEj/kOPe+Ypj6CKQAASSJUKxtbxgBIRfYZU4JpqiOYAgCQJEIt/mEuEAIAqcAMpix+lPoIpgAAJIl6fr98adb/dAfKCKYAUo/ZDZLF4kcpL8PpAsKxY8cOLVq0SBs2bFBJSYmys7OVm5urnj17qn379k6XZ3H48GEtXbpUGzZs0IEDB1RaWqpGjRqpadOm6tKlizp37qz09HSnywQAJCGfzyd/VpbKjvxvNV5mTAGkIvuqvMyYpjpXB9NZs2bpscce0yeffFLjqoPdunXTXXfdpeuvv14+ny/BFX6rqqpKr7/+up5//nl9/PHHqq6urvGz9evX19VXX61Ro0bp+9//fgKrBACkgqz62ZZgyjumAFIR+5h6jytbeYuLizV06FDl5+drwYIFx10Kf/ny5Ro+fLjOP/987dq1K4FVfuuLL75Q7969dd1112nevHnHDaWSdOTIEb388svq06ePRo4cqcOHDyeoUgBAKjBnDcz3sAAgFdhbeQmmqc51wbS4uFiDBg3S9OnTIzqvoKBA/fr1086dO+NUmd3SpUt17rnn6tNPP43q/L/97W+66KKLCKcAgLCZX85o5QWQaqqrqxUoK7OM0cqb+lwXTG+88UYtWrTIMpabm6uJEydq5cqV2r9/v1avXq0XXnhBnTp1snyuqKhIQ4YMUWVlZdzr3L9/vy677DIdPHjQMt6qVSv99re/1cKFC7Vr1y4dOnRIGzdu1FtvvaUf/vCHSjMWrVi4cKF+9rOfxb1eAEBqMNvZaOUFkGoCpWW2MVp5U5+rgumsWbM0bdo0y9iAAQO0YsUK3XHHHTrrrLN0wgknqFOnTho5cqSWLVumYcOGWT5fWFio5557Lu61PvTQQ9qzZ49l7MILL9SaNWs0duxY9e7dWy1atFBOTo7atWunwYMH69VXX9V///tfNWrUyHLea6+9po8//jjuNQMAkp+5l+mx75sCQCoIlNqfa6zKm/pcE0yDwaDGjh1rGcvNzdWsWbPUuHHjkOf4/X69+uqr6tGjh2X84Ycf1pE4/oe6qqpKr7zyimWsbdu2mjFjhk444YTjnjtgwABNnTrVNm5eDwCAUGytvMyYAkgxoZ5rfmZMU55rgunMmTO1fPlyy9gzzzyjnJyc456Xnp6uF154wTK2c+dO21gsLVu2TN98841l7Pbbb1fDhg3DOv+qq66ytSF/9NFHsSoPAJDCzC9ntPICSDXmu/OZ9eqx3aIHuCaY/utf/7Icn3LKKRo8eHBY53bv3l39+vWzjJktwbG0bds221j//v0juob5+e3bt9epJgCAN7D4EYBUxx6m3uSKYFpRUaF3333XMhbpvqQjRoywHBcWFmr37t2xKM+mpKTENta0adOIrtGsWTPLcXl5eZ1qAgB4gxlMmTEFkGrMVl4WPvIGVwTTwsJC2+q2AwcOjOga5uerq6s1Z86cOlYW2oknnmgb279/f0TX2Ldvn+W4VatWdaoJAOANZisv75gCSDVmJwh7mHqDK4LpihUrLMfp6enq3bt3RNfIy8tTy5YtLWMrV66sc22h9OjRwzabG+mquubnzz333DrXBQBIfbTyAkh1tPJ6kyuC6dq1ay3Hubm5atCgQcTXMRcUMq8bK02bNtVFF11kGfvjH/+o0jB/tX7nnXe0atUqy9hNN90Us/oAAKnL3DKBVl4AqabM2C6GVl5vcEUwXbNmjeU4Nzc3quu0bdvWchyvYCpJEyZMsKwOtmnTJg0dOlSHDx8+7nkLFy7UT3/6U8vY0KFDdf7558elTgBAavFnZ1mOzS9wAJDsAkYniD+LYOoFrgim5oq0ZsAMlxloQ62eGys9e/bUM888Yxl79913ddZZZ+mJJ57QihUrVFxcrMrKSu3Zs0fvv/++brzxRp133nmW91H79eunKVOmxK1OAEBqMVvamDEFkGrMd+dp5fWGDKcLkKTi4mLLcaNGjaK6jnleaWmpqqurlZYWn/z9i1/8QieeeKJuvfXWo4sZbd68Wffcc4/uueee455bv3593XnnnRo3bpzq1asX07p2796tPXv2RHROUVFRTGsAAMSH2dIWKC1TMBiMaCV7AHAz2+JHtPJ6giuDaXaUv4qEOq+4uDjqoBuOa665RhdffLGef/55TZ061daWbPL5fLr11lv10EMPhVzdNxYmT56s8ePHx+XaAABnme+YBoNBBcrKWLUSQMowO0F4vnmDK1p5zX1Bs7Kyavjk8dUUTONt0aJFKigo0Ndff13rZ4PBoCZPnqxBgwZp2rRpca8NAJBaQrW0BUrLHKgEAOIjUGa08jJj6gmumDFNVnv27NENN9ygf//735bxnJwcnXvuuTrllFNUv3597du3T59//rlWrFih6upqSd9ukXPNNddo6NCh+vvf/x71LDEAwFtCtbQFSo9IapL4YgAgDuz7mNav4ZNIJa4Ipg0aNNCBAweOHpeVRffLb6jtWho2bBhtWce1e/duDRw40NK627BhQz366KMaOXJkyFnf9evX64EHHtDrr79+dOyNN97QoUOH9O6771pW+a2LUaNGadiwYRGdU1RUpCuvvDIm9wcAxE9GZqbS0tNVXVV1dIy9TAGkEvYx9SZXBNOGDRtagmm4+4GaEhlMf/rTn1pCaZMmTTR//nx17ty5xnPy8vL02muvqXPnznrwwQePjr///vv6wx/+oPvuuy8mtbVo0UItWrSIybUAAO7i8/mUlZ2tI8e8qmKuYAkAycx8prH4kTe44h1TMzweOnQoquuY52VnZ8dlRd53331X7733nmXshRdeOG4oPdbYsWN16aWXWsZ+//vfJ+R9WABA8rOvzEswBZA67K28BFMvcEUwbd26teV4y5YtUV3HPM+8bqz85S9/sRx37NhRV199dUTX+M1vfmM5PnjwoN566626lgYA8ACzrY1WXgCphFZeb3JFMO3YsaPlePPmzVFdxzyvU6dOUddUk2AwqHnz5lnGLrnkkoiv8/3vf18nnHCCZeyTTz6pS2kAAI8wZw+YMQWQKqqqqlRRXm4Zo5XXG1wRTM0AuWXLFtsWMuFYu3at5dgMvLFw8OBB7d+/3zLWvn37iK+Tlpamdu3aWca2bdtWp9oAAN7gr29dobKs9IhDlQBAbAVCdIDQyusNrgimXbt2tRxXVlZq8eLFEV1j/fr12rlzp2WsS5cuda7NdOSI/T/+0W71Ut/4YhEIBKK6DgDAW8wvabTyAkgVoX5o87NdjCe4Ipj26dNHjRs3tox99NFHEV2joKDAcpyWlhZVi21tmjSx7xO3d+/eqK61Z88ey3GzZs2iug4AwFto5QWQqkL90ObPtm/DiNTjimCamZmpyy67zDL28ssvKxgMhn2Nl156yXLcp0+fuGyZkp2drUaNGlnGFi1aFPF19u7dq/Xr11vGTjrppDrVBgDwBr/xvhXbxQBIFbaFj7Ky4rLLBtzHNf+Ur7nmGsvxhg0bNGvWrLDOXb58uW1BomHDhsWsNlPfvn0tx++//7527doV0TVeeuklW/Du379/nWsDAKQ+24wprbwAUoT5Qxsr8nqHa4Lp4MGDbe+ajh49uta9PauqqjRy5EjLWKtWrXTzzTeHdV+fz2f5a+DAgbWeY87ulpaW6s477wzrftK3ofuRRx6xjGVnZ4d1bwAAbNvFMGMKIEXY9jBlRV7PcE0w9fl8mjBhgmVs06ZNys/P16FDh0KeU15eruuuu05Lly61jD/wwAO2hYVi6YYbbtCJJ55oGXvttdf0s5/9rNYFjFauXKkLL7xQ+/bts4zffvvtthZhAABCMb+oEUwBpAr2MPUu1wRTSbriiit09dVXW8bmzp2rrl27atKkSVq9erUOHDigL7/8Ui+++KK6d++u119/3fL5Pn366JZbbolrnQ0bNtTjjz9uG3/hhRd02mmn6dFHH9WSJUu0e/duFRcXa/PmzZo5c6aGDx+uHj162N4tPeWUU3TffffFtWYAQOrwZ9HKCyA1mavyEky9I8PpAkxTpkzRli1bLNvFbNq0SaNHj6713Ly8PE2fPl0ZGfH/Y40YMUJFRUV6+OGHLeNbtmzR/fffr/vvvz+s6zRv3lyzZ88OudovAACh2GdM2ccUQGqwtfISTD3DVTOmkpSTk6MPPvhAV111VUTnnXfeeVqwYEFCV7adMGGCXn75ZdtWN+E6//zztWzZMnXs2DHGlQEAUpk5g8B2MQBShfk8I5h6h+uCqfRtOJ0xY4ZmzpxpWwHX1LVrV02dOlUFBQVq2bJlgir8n5/85CcqKirS73//e51xxhm1fj4rK0v/93//p9mzZ+vDDz9UmzZtElAlACCVmF/UQu37BwDJyLYqL4sfeYbrWnmPlZ+fr/z8fG3fvl0LFy7Uxo0bVVJSouzsbLVt21a9evXSqaeeWqd7RLJXak2aN2+ue++9V/fee6/27t2rJUuWaNu2bTpw4IACgYAaNWqkJk2a6IwzztDZZ5+tzMzMOt8TAOBdZitveSCg6qoqpaWnO1QRAMSG+c48M6be4epg+p3WrVtryJAhTpcRlubNm+vSSy91ugwAQArzZ9tXng+UBZTdIH4r0gNAIgTKWJXXq1zZygsAAGoWal+/AAsgAUgB7GPqXQRTAACSTKjWNvYyBZAKzGdZVogOEaQmgikAAEkmPSNDGcZ6BSyABCAVmKvy0srrHQRTAACSkNnexpYxAFIBrbzeRTAFACAJmbMItPICSAXMmHoXwRQAgCTEXqYAUpH9HVOCqVcQTAEASELmgiC08gJIdhXlFaqqrLSM0crrHQRTAACSkL++2crLdjEAkluoba9C7duM1EQwBQAgCZntbQFaeQEkuVDvyjNj6h0EUwAAkhCLHwFINea78r60NNXz+x2qBolGMAUAIAmZswgsfgQg2dlW5M3Kks/nc6gaJBrBFACAJGRr5WXGFECSs63ISxuvpxBMAQBIQrTyAkg15rvy/iyCqZcQTAEASEJmMGXxIwDJzlxd3HzOIbURTAEASEJmKy/bxQBIdrTyehvBFACAJGTfx5QZUwDJzez8MH+AQ2ojmAIAkIRY/AhAqjF/YKOV11sIpgAAJCGzxS1QWuZQJQAQG+ZzjFZebyGYAgCQhPzZ9S3HFeXlqqqqcqgaAKg7Fj/yNoIpAABJKNS7V6zMCyCZma8k8I6ptxBMAQBIQqFa3FiZF0AyKzMXP6pfv4ZPIhURTAEASEL+rCzbmPmlDgCSiTljSiuvtxBMAQBIQmnp6arn91vGWJkXQDJjH1NvI5gCAJCkzC9t7GUKIJnZWnmZMfUUgikAAEnKbHOjlRdAMqOV19sIpgAAJKksY8sYWnkBJKtgMEgrr8cRTAEASFJ+Wysvq/ICSE4VgYCC1dWWMfPHN6Q2gikAAEnKfP+KVl4AySrUO/K08noLwRQAgCRlBlNaeQEkq1DBlFZebyGYAgCQpOytvARTAMkpYHR8pKWnKyMz06Fq4ASCKQAAScqflWU5Nr/YAUCyMH9Y82dnyefzOVQNnEAwBQAgSWXVty4MwowpgGRl38OUhY+8hmAKAECSsu1jSjAFkKQCxqri5jv0SH0EUwAAkpRt8aMjbBcDIDnZWnlZ+MhzCKYAACQpc8VKZkwBJCvzHXlmTL2HYAoAQJIyW3kDpWUOVQIAdRMosz6/2MPUewimAAAkKfYxBZAqbIsf0crrOQRTAACSFKvyAkgVZSx+5HkEUwAAkpTZ6lZVWamK8gqHqgGA6JkdH7Tyeg/BFACAJBVqRsHccgEAkoG9lZd9TL2GYAoAQJIKtZ0C7bwAkpFtuxhmTD2HYAoAQJLyZ2XJ5/NZxsxZBwBIBmYrL++Yeg/BFACAJOXz+eTPzrKMsTIvgGTEqrwgmAIAkMTMdjdaeQEkIxY/AsEUAIAklpVtXSAkQCsvgCRk/qhGK6/3EEwBAEhi9hlTVuUFkFyqq6vt75jSyus5BFMAAJKY+eWNVl4Ayaa8rMw25s9muxivIZgCAJDEzHY3WnkBJJtQP6gxY+o9BFMAAJKYuSovM6YAkk2oH9T8WVkhPolURjAFACCJsSovgGRnPrcyMjOUkZnpUDVwCsEUAIAkxqq8AJKdGUx5v9SbCKYAACQxFj8CkOzMH9TYKsabCKYAACQxs5U3wHYxAJKMuc2V+VyDNxBMAQBIYrZVeUvt2y4AgJuZzy1W5PUmgikAAEnMTysvgCRnPrdo5fUmgikAAEnM/AJXxuJHAJJMwLb4EcHUiwimAAAkMbPlzfyCBwBuV3bE+o4prbzeRDAFACCJmdsqlJWWKhgMOlQNAESOGVNIBFMAAJKa2cobrK5WRSDgUDUAEDn7O6bsY+pFBFMAAJJYqJY3FkACkEzMd+Np5fUmgikAAEksVMsbwRRAMqGVFxLBFACApJZZr57S0qz/OQ+wMi+AJMJ2MZAIpgAAJDWfz8depgCSmvljmvlMgzcQTAEASHLmQiHsZQogmTBjColgCgBA0jO/xAVKj9TwSQBwH1swZcbUkwimAAAkOVp5ASSrqqoq2xZX5v7M8AaCKQAASc6flWU5ZvEjAMnCXJFXkvzZWSE+iVRHMAUAIMmZbW/MmAJIFqGeV7xj6k0EUwAAkpy55x/BFECyCNXhwT6m3pThdAHh2LFjhxYtWqQNGzaopKRE2dnZys3NVc+ePdW+fXuny6vRjh07tGzZMn399dc6dOiQ0tLSlJOTo3bt2umMM85Qhw4d5PP5nC4TAJDkzFV5aeUFkCzMH9Iy/X6lp6c7VA2c5OpgOmvWLD322GP65JNPFAwGQ36mW7duuuuuu3T99de7IuSVlpbqr3/9q1588UV9/vnnx/1s06ZN1b9/f+Xn5+uGG25ITIEAgJRDKy+AZGX+kEYbr3e5spW3uLhYQ4cOVX5+vhYsWFBjKJWk5cuXa/jw4Tr//PO1a9euBFZp9/bbb+u0007T6NGjaw2lkrRv3z699dZbuvXWW+NfHAAgZZltb6EWEwEANyorI5jiW64LpsXFxRo0aJCmT58e0XkFBQXq16+fdu7cGafKju/+++/X4MGDtW3bNkfuDwDwLvOLHDOmAJKFOWNqbn8F73BdML3xxhu1aNEiy1hubq4mTpyolStXav/+/Vq9erVeeOEFderUyfK5oqIiDRkyRJWVlYksWXfddZceffRRy1h2drauu+46vf7661q1apX27t2rffv2af369Zo1a5YefPBB9ejRwxXtxwCA5Ga28jJjCiBZmD+kMWPqXa56x3TWrFmaNm2aZWzAgAGaOXOmGjdufHTshBNOUKdOnXT99dfr+uuvt5xTWFio5557TrfddltCap46daqefvppy9ill16qyZMn65RTTrF9vkmTJjr11FP1f//3fxo/frzWr1+vv/71rwmpFQCQmmyr8rL4EYAkYf6Qxoq83uWaGdNgMKixY8daxnJzczVr1ixLKD2W3+/Xq6++qh49eljGH374YR05ciRutX5n165duuuuuyxjP/nJT/TOO++EDKWh5OXl2WZbAQCIhDnDwIwpgGRh/pBmdoDAO1wTTGfOnKnly5dbxp555hnl5OQc97z09HS98MILlrGdO3faxuJh9OjR2r9//9Hjnj17aurUqUpLc83/WwEAHuCvb90uhndMASSLslLrZBKtvN7lmgT1r3/9y3J8yimnaPDgwWGd2717d/Xr188yZrYEx9q6dessNft8Pk2ePJl9lwAACRdqxrS6utqhagAgfLTy4juuCKYVFRV69913LWOR7ks6YsQIy3FhYaF2794di/JCMt8L7d+/v3r16hW3+wEAUJNQMwzlZWUOVAIAkbG38tav4ZNIda4IpoWFhTp48KBlbODAgRFdw/x8dXW15syZU8fKQqusrNTUqVMtYz/+8Y/jci8AAGoTansF2nkBJANmTPEdVwTTFStWWI7T09PVu3fviK6Rl5enli1bWsZWrlxZ59pCWb58uW02dtCgQXG5FwAAtQk1Y2ruDQgAbsR2MfiOK7aLWbt2reU4NzdXDRo0iPg6nTp10q5du2q8bqwsXrzYctywYUO1b9/eMrZ582bNnz9fGzduVHl5uZo1a6ZWrVrp3HPP1cknnxyXugAA3pSRmamMzAxVVvxvH29mTAEkA1blxXdcEUzXrFljOc7NzY3qOm3btrUcxyuYLlmyxHLcqVOno+/DLly4UPfdd58KCgpqPL9z584aM2aMfvrTn7JYEgAgJvzZ9VVZcejoMcEUQDKglRffcUUr7/bt2y3HZsAMlxlot23bFnVNx2MG6aZNmyoYDOo3v/mN+vXrd9xQKklffPGFbrzxRnXv3l0bNmyIS40AAG+xrcxLKy+AJEArL77jihnT4uJiy3GjRo2iuo55Xun/Xy4/1vuK7tu3z3Kck5OjX/3qV3riiScius7KlSvVu3dvvf/++zr77LNjVt/u3bu1Z8+eiM4pKiqK2f0BAInnz86yHJt7AwKAGwWMZxUzpt7lymCaHeX/IEOdV1xcHHXQrcmBAwcsxwUFBXrjjTeOHp900kkaM2aMLr30UrVr107V1dXasGGDZs2apaeeesoSbPfs2aOhQ4fqs88+i1mdkydP1vjx42NyLQBAcjC/zNHKC8DtKisqLO/GS8yYepkrWnlLSkosx1lZWTV88vhqCqaxZm5tc+zs5EUXXaQvv/xSY8aM0ZlnnqkGDRooJydHXbt21QMPPKAvv/xS3//+9y3nr1+/Xvfee2/M6wQAeAetvACSTagf0EJtfwVvcEUwTTbV1dUhx7t06aK3335bOTk5NZ7bvHlzvffee2rXrp1lfMqUKdq5c2dM6wQAeIe5kiUzpgDcLtQPaMyYepcrWnkbNGhgaY8tKyuL6jqlIf4j3LBhw2jLqlHDhg21f/9+2/jkyZPl9/trPb9Ro0Z6+umnNWTIkKNjgUBAf//73/WrX/2qzvWNGjVKw4YNi+icoqIiXXnllXW+NwDAGf7s+pZjc6VLAHCbUD+g1YuycxLJzxXBtGHDhpZgGipghsPJYNqlSxf169cv7Gvk5+fr5JNPtqwcXFBQEJNg2qJFC7Vo0aLO1wEAJA9bKy/BFIDLhdoqJtaLliJ5uOKfvBkeDx06VMMnj888LztO/+MOFXZ/8IMfRHSN9PR0DRgwwDK2cOHCOtUFAPAu870sWnkBuB1bxeBYrgimrVu3thxv2bIlquuY55nXjZU2bdrYxs4666yIr2Oes2/fPlVWVtbwaQAAamZ+oStj8SMALhdqxhTe5Ypg2rFjR8vx5s2bo7qOeV6nTp2irul4Ql23SZMmEV8n1DnmHqkAAISDVl4Aycb8Ac1cxA3e4opgaga9LVu22LaQCcfatWstx2bgjZUzzzzTNhYMBiO+TqhzfD5fVDUBALyNVl4AycZ8TjFj6m2uCKZdu3a1HFdWVmrx4sURXWP9+vW27Va6dOlS59pC6datm20s1Cq9tTHP8fl8atq0adR1AQC8i31MASQbs7ODd0y9zRXBtE+fPmrcuLFl7KOPPoroGgUFBZbjtLQ0XXLJJXUtLaTvfe97tlVvV65cGfF1zHNatmyp9PT0OtUGAPCmLGO7GGZMAbhd2ZEjlmNaeb3NFcE0MzNTl112mWXs5Zdfjqg99qWXXrIc9+nTJ25bpqSlpSk/P98y9uGHH0Z0jcrKSluYPu+88+pcGwDAm2jlBZBsWPwIx3JFMJWka665xnK8YcMGzZo1K6xzly9frnnz5lnGhg0bFrPaQvnRj35kOV69enVEs7wzZszQjh07LGODBg2KRWkAAA8yW+AqAgFVVVU5VA0A1M6+XUz9Gj4JL3BNMB08eLDtXdPRo0eruLj4uOdVVVVp5MiRlrFWrVrp5ptvDuu+Pp/P8tfAgQPDOu8HP/iB+vfvbxkbNWqUSsP4hXr//v0aM2aMZaxZs2a67rrrwro3AAAmc8ZUYmVeAO7Gqrw4lmuCqc/n04QJEyxjmzZtUn5+vg4dOhTynPLycl133XVaunSpZfyBBx5Q/frx/8XlsccesxyvWbNGl19+uQ4cOFDjObt27dKFF16orVu3WsbvueceNWjQIB5lAgA8INSiIbTzAnAzWnlxLNcEU0m64oordPXVV1vG5s6dq65du2rSpElavXq1Dhw4oC+//FIvvviiunfvrtdff93y+T59+uiWW25JSL3f//73NXr0aFu9p59+uh5++GEtW7ZM+/bt0969e7VkyRI9+OCDOuOMM/Tpp59azrngggt09913J6RmAEBqCvWFjpV5AbiZvZWXYOplGU4XYJoyZYq2bNli2S5m06ZNtgAYSl5enqZPn66MjMT9sZ544glt3rxZb7311tGxPXv26De/+Y1+85vf1Hp+jx499Nprr7EaLwCgTtLT05Xp96siEDg6xowpADczfzwL9UoCvMNVM6aSlJOTow8++EBXXXVVROedd955WrBggU466aQ4VRZaZmampk2bprvuuktpaZH9v/PHP/6x5s2bp+bNm8epOgCAl7CXKYBkwowpjuW6YCp9G05nzJihmTNnqm/fvsf9bNeuXTV16lQVFBSoZcuWCarQKiMjQ08++aSWLFmioUOHql69ejV+Njs7W/n5+Vq4cKFeeeWVhLwLCwDwBn92luW4rPRIDZ8EAOeZzyjeMfU217XyHis/P1/5+fnavn27Fi5cqI0bN6qkpETZ2dlq27atevXqpVNPPbVO94hkr9TanHPOOZo2bZpKSkpUWFior776SgcOHFBmZqZOPPFEtWvXTn369FFWVlbtFwMAIELmbAOtvADcKhgM2ro6mDH1NlcH0++0bt1aQ4YMcbqMsDVo0ECDBg1iX1IAQEKZsw208gJwq4ryclVXV1vGeMfU21zZygsAACJn7gHIjCkAtwq1zzIzpt5GMAUAIEX4s63rFgRKyxyqBACOL9TziWDqbQRTAABShP0dUxY/AuBO5vPJl5amTL/foWrgBgRTAABShNnKG6pVDgDcoCzEwkc+n8+hauAGBFMAAFKEufiR+cUPANzC/OGMrWJAMAUAIEWYrbzMmAJwK3NxNrPjA95DMAUAIEWYWy2wKi8AtwrVygtvI5gCAJAibIsf0coLwKVo5YWJYAoAQIrIsm0XQzAF4E5lR6yr8tLKC4IpAAApglZeAMnCfD4xYwqCKQAAKcK++BH7mAJwJ7Ojw+z4gPcQTAEASBFmMK2sqFRlRYVD1QBAzWyLH9HK63kEUwAAUoTZyivRzgvAnVj8CCaCKQAAKSLUdgsBVuYF4EK2fUwJpp5HMAUAIEXUy8qyjTFjCsCNaOWFiWAKAECKSEtLk98IpwRTAG5ka+XNIph6HcEUAIAUYr6nFTjCyrwA3KfMWDU81Dvy8BaCKQAAKcRsh2PGFIAb2beLIZh6HcEUAIAUYpsxJZgCcJlgMKhAaZlljFV5QTAFACCFmLMOZcaXPwBwWnkgoGAwaBlj8SMQTAEASCHme1rMmAJwG3NFXolWXhBMAQBIKVnZ9S3HZSx+BMBlAqX255LfeHbBewimAACkEHPWgRlTAG5jzpimZ2Qos16mQ9XALQimAACkELOVl1V5AbiN+VyijRcSwRQAgJRiW/woxLtcAOAks5ODFXkhEUwBAEgptPICcDvzBzNW5IVEMAUAIKXQygvA7ZgxRSgEUwAAUohtxpRWXgAuU2asyss7ppAIpgAApBRzywVmTAG4Da28CIVgCgBACjG/4JkzEwDgNHsrL3uYgmAKAEBKCdXKGwwGHaoGAOzYLgahEEwBAEgh5uJH1dXVqigvd6gaALAz3303n1vwJoIpAAApJNTMA1vGAHATZkwRCsEUAIAUEmrbBXOhEQBwkhlM/dlZDlUCNyGYAgCQQur5/fKlWf/zzsq8ANzEbOXNYvEjiGAKAEBK8fl88mdZZx8CrMwLwEXM1cJDdXrAewimAACkGNuWMbTyAnAR87139jGFRDAFACDlmLMPgbIyhyoBALtAqfWZxOJHkAimAACkHPNLHjOmANyiurra9mMZrbyQCKYAAKQcsy2O7WIAuIU5WyrRyotvEUwBAEgxfmOFy7IjLH4EwB1CLcbGqryQCKYAAKQcWysvM6YAXCLU88jPjClEMAUAIOWYX/Jo5QXgFuY775n16ik9Pd2hauAmBFMAAFIMix8BcCvzhzIWPsJ3CKYAAKQYM5gyYwrALcxWXhY+wncIpgAApBizlZd3TAG4hdnBwR6m+A7BFACAFEMrLwC3opUXNSGYAgCQYsytF2jlBeAWZcZ2MbTy4jsEUwAAUoy9lZd9TAG4Q+CIOWPKHqb4FsEUAIAUw+JHANzKtvgRrbz4/wimAACkGPOdrUBpmYLBoEPVAMD/2BY/opUX/x/BFACAFGPOQASDQQXKyhyqBgD+x7b4UVaWQ5XAbQimAACkmFCrXJrvdQGAE8xWXvOdeHgXwRQAgBQTqjWOvUwBuIH5I5m5iji8i2AKAECKycjMVFp6umWMBZAAuIG5Sjj7mOI7BFMAAFKMz+ezvWdadoQtYwA4z7YqL628+P8IpgAApCDzyx6LHwFwg0Cp9VnEdjH4DsEUAIAUZLbHmVs0AIATbKvyEkzx/xFMAQBIQeYsBO+YAnBaVVWVKsrLLWO08uI7BFMAAFKQv751pUtzwREASLRQ21bRyovvEEwBAEhB9sWPmDEF4KxQP5D52S4G/x/BFACAFEQrLwC3CfUDmT87y4FK4EYEUwAAUpDfeG/L3KIBABLNtvBRVpbS0ogj+Bb/SwAAIAXZZkxp5QXgMPMHMlbkxbEIpgAApCDbdjHMmAJwmNnKy4q8OBbBFACAFGR+4SOYAnAae5jieAimAACkoCxjpUtaeQE4zVyVl61icCyCKQAAKcjeyss+pgCcZbbymou0wdsIpgAApCCzlZftYgA4zXwOmZ0d8DaCKQAAKcifZd0bMNT+gQCQSPZVednDFP+T4XQB4dixY4cWLVqkDRs2qKSkRNnZ2crNzVXPnj3Vvn17p8sDAMB1zBnT8kBA1VVVSktPd6giAF5nvuvOO6Y4lquD6axZs/TYY4/pk08+UTAYDPmZbt266a677tL1118vn8+X4ArD8+KLL+qmm26yjQ8fPlxTp05NfEEAgJTnD9EiFygrU3aDBg5UAwDsY4rjc2Urb3FxsYYOHar8/HwtWLCgxlAqScuXL9fw4cN1/vnna9euXQmsMjy7du3S3Xff7XQZAACPCbU/IO28AJxkBlP2McWxXBdMi4uLNWjQIE2fPj2i8woKCtSvXz/t3LkzTpVFZ/To0dq/f7/TZQAAPCZUixx7mQJwUuCIuV0Mix/hf1wXTG+88UYtWrTIMpabm6uJEydq5cqV2r9/v1avXq0XXnhBnTp1snyuqKhIQ4YMUWVlZSJLrtE777yjf/3rX06XAQDwoPSMDGVkZlrGWJkXgJMCZWWWY1p5cSxXBdNZs2Zp2rRplrEBAwZoxYoVuuOOO3TWWWfphBNOUKdOnTRy5EgtW7ZMw4YNs3y+sLBQzz33XCLLDqm4uFijRo06ety5c2e1bt3awYoAAF7DljEA3MR8nYBWXhzLNcE0GAxq7NixlrHc3FzNmjVLjRs3DnmO3+/Xq6++qh49eljGH374YR054uxG4r/+9a+1ZcsWSZLP59Nzzz2nTOOXawAA4smcjaCVF4CTzB/HmDHFsVwTTGfOnKnly5dbxp555hnl5OQc97z09HS98MILlrGdO3faxhJp4cKFmjx58tHjm266Sf369XOsHgCAN5nvmbL4EQAn2RY/IpjiGK4Jpua7mKeccooGDx4c1rndu3e3BT+zJThRKioqdPPNN6u6ulqSdOKJJ+qxxx5zpBYAgLeZC4vQygvAKRXlFaoy1oGhlRfHckUwraio0LvvvmsZi3Rf0hEjRliOCwsLtXv37liUF5Hf//73WrVq1dHjJ598Uk2bNk14HQAA+OubrbzOvuYCwLsCIZ4/ofZbhne5IpgWFhbq4MGDlrGBAwdGdA3z89XV1ZozZ04dK4vMl19+qYcffvjo8fnnn6/rr78+oTUAAPAds00uQCsvAIeEesedGVMcyxXBdMWKFZbj9PR09e7dO6Jr5OXlqWXLlpaxlStX1rm2cAWDQf3sZz9TIBCQ9O3CTG5YHRgA4F0sfgTALcx33H1paarn9ztUDdzIFcF07dq1luPc3Fw1aNAg4uuY+5qa142nv/zlL5o3b97R4/vuu0+nn356wu4PAIDJnI1g8SMATrGtyJuVFdFre0h9rgima9assRzn5uZGdZ22bdtajhMVTHfs2KF777336PHpp5+uX//61wm5NwAANbG18jJjCsAhthV5aeOFwRXBdPv27ZZjM2CGywy027Zti7qmSNx2222Wd2QnT54sP60JAACH2Rc/IpgCcIb5jjt7mMKU4XQBklRcXGw5btSoUVTXMc8rLS1VdXW10tLil7/feustzZgx4+jxT37yE11wwQVxu184du/erT179kR0TlFRUZyqAQA4xbZdDK28ABxirgrOHqYwuTKYZkf5P9RQ5xUXF0cddGtz6NAh/eIXvzh63KRJEz355JNxuVckJk+erPHjxztdBgDAYfbFj9guBoAzaOVFbVzRyltSUmI5zsrKiuo6NQXTeLn33nstbciPPfaYWrRoEbf7AQAQCX+29b+ntPICcIqtlTeLYAorVwTTZPTxxx/r+eefP3p87rnnauTIkQ5WBACAFYsfAXAL84cx3jGFyRWtvA0aNNCBAweOHpeVlUV1ndIQ/8Ft2LBhtGXVKBAI6Oabb1YwGJQkZWZm6vnnn3fNktejRo3SsGHDIjqnqKhIV155ZXwKAgA4gu1iALgFrbyojSuCacOGDS3BNFTADEeigukjjzxi2YpmzJgx6ty5c8zvE60WLVrQUgwAkN9Y/KiyokJVlZVKz3DFf/4BeAir8qI2rmjlNcPjoUOHorqOeV52dnbMV+RdvXq1fv/73x89bt++vR588MGY3gMAgFgIteol75kCcIJtxpRgCoMrgmnr1q0tx1u2bInqOuZ55nVjYeTIkSovLz96/Oyzz0a9ijAAAPEUqlWO90wBOMF89mTVr1/DJ+FVrujl6dixo/773/8ePd68eXNU1zHP69SpU53qCqWwsPDo/928eXMVFBSooKAgrHP3799vOf7000913333WcaGDRumHj161L1QAIDn+UOscs97pgCcYAZTWnlhckUwNQPkli1bVFJSogYNGkR0nWPf+5S+DbzxtHfvXj322GNRn79q1SqtWrXKMtaxY0eCKQAgJtLS01XP71d5IHB0jBlTAE5g8SPUxhWtvF27drUcV1ZWavHixRFdY/369dq5c6dlrEuXLnWuDQCAZGZbmZdgCsABZrcG75jC5Ipg2qdPHzVu3Ngy9tFHH0V0DbOdNi0tTZdcckldSwMAIKmZ7XK08gJwAq28qI0rgmlmZqYuu+wyy9jLL798dJ/QcLz00kuW4z59+sRly5RgMBj1X+3atbNca/jw4bbPjBgxIuY1AwC8K8vYMoZWXgCJFgwGaeVFrVwRTCXpmmuusRxv2LBBs2bNCuvc5cuXa968eZaxYcOGxaw2AACSld/WynvEoUoAeFVFIKBgdbVlzPzRDHBNMB08eLDtXdPRo0eruLj4uOdVVVVp5MiRlrFWrVrp5ptvDuu+Pp/P8tfAgQMjqhsAADcz3+OilRdAooV6t51WXphcE0x9Pp8mTJhgGdu0aZPy8/N16NChkOeUl5fruuuu09KlSy3jDzzwgOqzNxIAALZgSisvgEQLFUxp5YXJNcFUkq644gpdffXVlrG5c+eqa9eumjRpklavXq0DBw7oyy+/1Isvvqju3bvr9ddft3y+T58+uuWWWxJZNgAArmVv5SWYAkisgNGpkZaerozMTIeqgVu5Yh/TY02ZMkVbtmyxbBezadMmjR49utZz8/LyNH36dGVkuO6PBQCAI2wzprTyAkgw28JH2dny+XwOVQO3ctWMqSTl5OTogw8+0FVXXRXReeedd54WLFigk046KU6VAQCQfGzbxTBjCiDBbHuY0saLEFwXTKVvw+mMGTM0c+ZM9e3b97if7dq1q6ZOnaqCggK1bNkyQRUCAJAczC+ABFMAiRYwVgNn4SOE4uqe1/z8fOXn52v79u1auHChNm7cqJKSEmVnZ6tt27bq1auXTj311DrdI5K9Uutq48aNCbsXAACS5M8yW3nZLgZAYpk/iBFMEYqrg+l3WrdurSFDhjhdBgAASYcZUwBOM99tN999BySXtvICAIDYMGcm2C4GQKIxY4pwEEwBAEhh5syEuQgJAMSbbVVeFj9CCARTAABSWFb9+pbjstLShK6vAAC08iIcBFMAAFKY2TJXXVWlyopKh6oB4EWBMlp5UTuCKQAAKSzUzIS5dQMAxJN9H9P6NXwSXkYwBQAghflDvMvFyrwAEonFjxAOgikAACnMn5Uln89nGWMBJACJZK4GzjumCIVgCgBACvP5fPJnZ1nG2DIGQCLZW3kJprAjmAIAkOLMtjlaeQEkkvljGK28CIVgCgBAisvKti40Ym7dAADxZNvHlGCKEAimAACkOPuMKavyAkiM6upq+zumtPIiBIIpAAApzvwSSCsvgEQpLyuzjfmz2S4GdgRTAABSnNk2RysvgEQJ9UMYM6YIhWAKAECKY/EjAE4J9UMY75giFIIpAAApjlZeAE4xnzcZmZlKz8hwqBq4GcEUAIAUZ86Y0soLIFFsK/LSxosaEEwBAEhxZtscM6YAEsX8IcyfRTBFaARTAABSnG3GlO1iACSIuT2V+TwCvkMwBQAgxdlmTGnlBZAgtPIiXARTAABSnJ/FjwA4xGzlZUVe1IRgCgBAirPtY0owBZAg5g9htPKiJgRTAABSnNk6Fygtc6gSAF5j/hBGKy9qQjAFACDF+bPrW47LSksVDAYdqgaAl5jBlBlT1IRgCgBAijNbeYPV1aoIBByqBoCX2BY/Mn4oA75DMAUAIMWFap1jASQAiWCuAk4rL2pCMAUAIMWFap0jmAJIBFp5ES6CKQAAKS6zXj2lpVn/k29u4QAA8WBv5SWYIjSCKQAAKc7n87GXKQBHmD+Cmc8i4DsEUwAAPMBccMR87wsA4oEZU4SLYAoAgAeYXwYDpUccqgSAl9iCKTOmqAHBFAAAD6CVF0CiVVVV2bamMvdVBr5DMAUAwANsM6a08gKIM3NFXolWXtSMYAoAgAeYWzQwYwog3kI9Z2jlRU0IpgAAeID5ZZBgCiDeQnVm+LOyHKgEyYBgCgCAB/izaOUFkFjmD2CZfr/S0tMdqgZuRzAFAMADmDEFkGjmD2C8X4rjIZgCAOAB9ndM2S4GQHyZzxmCKY6HYAoAgAewKi+ARDM7M8xtq4BjEUwBAPAAWnkBJBqtvIgEwRQAAA8wW3kDpWUOVQLAKwJl1ueM+RwCjkUwBQDAA2ytvMyYAoizMnPGlFZeHAfBFAAAD/DXr285ppUXQLyx+BEiQTAFAMADQs2YVldXO1QNAC8wOzNo5cXxEEwBAPCAUDMV5WW8ZwogfuytvPVr+CRAMAUAwBNCbdNAOy+AeGLGFJEgmAIA4AGhZkzZyxRAPJk/fvGOKY6HYAoAgAdkZGYqIzPDMsaMKYB4YlVeRIJgCgCAR/izWZkXQOLQyotIEEwBAPAI28q8tPICiCNaeREJgikAAB5hzlaYewwCQCwFzH1MWZUXx0EwBQDAI8z3u2jlBRAvlRUVqqyotIzRyovjIZgCAOARtPICSJRQP3zRyovjIZgCAOAR9lZegimA+Aj1w1eo/ZSB7xBMAQDwCDOYmitmAkCshPrhq57f70AlSBYEUwAAPMJsozP3GASAWDGDqT87W2lpRA/UjP91AADgEWYbHa28AOIlcMRYkZf3S1ELgikAAB5hW/yI7WIAxEmoGVPgeAimAAB4hD2YljlUCYBUZz5fzO2qABPBFAAAj6CVF0CiMGOKSBFMAQDwCPYxBZAo5qrfvGOK2hBMAQDwiKzs+pZjZkwBxEuZufgRrbyoBcEUAACPoJUXQKKYM6a08qI2BFMAADzCbKWrCARUVVXlUDUAUpn5w5fZsQGYCKYAAHiEOWMq2Wc1ACAWyox32GnlRW0IpgAAeESoxUdo5wUQD7TyIlIEUwAAPCLUF0NW5gUQD/ZWXoIpjo9gCgCAR6SnpyvT77eMMWMKIB7MH71CvUoAHItgCgCAh7CXKYBEYMYUkSKYAgDgIeaXw7LSIzV8EgCiZz5bWPwItSGYAgDgIexlCiDegsGgvZWX7WJQiwynCwjHjh07tGjRIm3YsEElJSXKzs5Wbm6uevbsqfbt2ztdniSpqqpKRUVFWrVqlXbt2qUDBw7I7/eradOmatu2rXr37q2cnBynywQAeBytvADiraK8XNXV1ZYxWnlRG1cH01mzZumxxx7TJ598omAwGPIz3bp101133aXrr79ePp8vofWtXr1a77zzjv773/9q/vz5OnKk5naotLQ09ezZU6NGjdIPf/hD+Y3FJwAASAR/dpblmBlTALEWan9k89kDmFzZyltcXKyhQ4cqPz9fCxYsqDGUStLy5cs1fPhwnX/++dq1a1dC6nvllVfUpUsXde7cWffee6/ee++944ZSSaqurtbixYs1YsQIde7cWYWFhQmpFQCAY5ntdARTALFWFqITgxlT1MZ1wbS4uFiDBg3S9OnTIzqvoKBA/fr1086dO+NU2f/MmjVLq1ativr89evX67zzztMrr7wSw6oAAKgdrbwA4s38wcuXlmbbqgowuS6Y3njjjVq0aJFlLDc3VxMnTtTKlSu1f/9+rV69Wi+88II6depk+VxRUZGGDBmiysrKRJYsSerdu7d+/etfa86cOVq7dq327dunPXv26NNPP9Xjjz+u3Nxcy+erqqo0YsQIvf/++wmvFQDgXebKmMyYAoi1gLkib3Z2wl+5Q/Jx1Tums2bN0rRp0yxjAwYM0MyZM9W4ceOjYyeccII6deqk66+/Xtdff73lnMLCQj333HO67bbb4l5v06ZNddNNN2nkyJE6/fTTQ36mefPmOuecczR69GiNHj1af/nLX47+vcrKSt1yyy1avXq1srLouwcAxJ/fnDElmAKIsUBpmeXYfO4AobhmxjQYDGrs2LGWsdzcXM2aNcsSSo/l9/v16quvqkePHpbxhx9+uNZ3PuuiYcOGeuCBB/T111/r8ccfrzGUHsvv9+v555/XT3/6U8v4hg0bNGXKlHiVCgCAha2Vl2AKIMbMTgz2MEU4XBNMZ86cqeXLl1vGnnnmmVq3WElPT9cLL7xgGdu5c6dtLJaef/55TZgwocbAfDwTJ07UCSecYBl76623YlMYAAC1YB9TAPFmLn7EwkcIh2uC6b/+9S/L8SmnnKLBgweHdW737t3Vr18/y5jZEhxL6enpUZ/bpEkT5efnW8YWLFhQ15IAAAiL+QUx1OqZAFAXZicGrbwIhyuCaUVFhd59913LWKT7ko4YMcJyXFhYqN27d8eivJjr1q2b5bikpESHDx92qBoAgJdkGdvF0MoLINbKjFfqaOVFOFwRTAsLC3Xw4EHL2MCBAyO6hvn56upqzZkzp46VxUd2iF+NSkpKHKgEAOA1tPICiDfzucKMKcLhimC6YsUKy3F6erp69+4d0TXy8vLUsmVLy9jKlSvrXFs8bN682XLs8/nUvHlzh6oBAHiJffGj+C0WCMCbzE4Ms1MDCMUVwXTt2rWW49zcXDVo0CDi65j7mprXdYuCggLLcbt27ZSR4aqdewAAKcoMppUVlaqsqHCoGgCpyLb4Ea28CIMrgumaNWssx7m5uVFdp23btpZjNwbTr776SoWFhZaxSy+91KFqAABeY7bySrTzAogtFj9CNFwRTLdv3245NgNmuMxAu23btqhripdx48bZxq699loHKgEAeFGobRsCrMwLIIZs+5gSTBEGV/SPFhcXW44bNWoU1XXM80pLS1VdXa20NFfkb73zzjt67bXXLGP9+/fXgAEDYnqf3bt3a8+ePRGdU1RUFNMaAADuVC8ryzbGjCmAWKKVF9FwZTANtWptOEKdV1xcHHXQjaVt27bphhtusIxlZmZq0qRJMb/X5MmTNX78+JhfFwCQ/NLS0uTPzra02hFMAcQSrbyIhiumEs2tUrJC/JobjpqCqdPKysp01VVXae/evZbx8ePHq2vXrg5VBQDwKtvKvEdYmRdA7JQZq33TyotwuCKYprLq6mpdf/31WrJkiWX80ksv1X333edQVQAALzNnL5gxBRBLthnT+mwXg9q5opW3QYMGOnDgwNHjsrKyqK5TGuI/rA0bNoy2rJi4/fbb9cYbb1jGunXrptdee00+ny8u9xw1apSGDRsW0TlFRUW68sor41IPAMBd/NnWziTzSyQARCsYDCpQav0u74+yGxLe4opg2rBhQ0swDRUww+G2YPrggw9q8uTJlrG8vDzNmTMnru+9tmjRQi1atIjb9QEAyc1sqzMXKgGAaAXKyhQMBi1jLH6EcLiildcMj4cOHYrqOuZ52dnZjq3I+9RTT+l3v/udZax169b6z3/+o1atWjlSEwAAkn0vU1p5AcRKqO2neMcU4XBFMG3durXleMuWLVFdxzzPvG6ivPDCCxozZoxlrHnz5vrPf/6j9u3bO1ITAADfycq2vu9FKy+AWAn1Q5c/m3dMUTtXBNOOHTtajjdv3hzVdczzOnXqFHVN0Xr11Vd1yy23WMYaNWqkOXPm6Mwzz0x4PQAAmGjlBRAv5g9d6RkZyqyX6VA1SCauCKZmgNyyZYttC5lwrF271nJsBt54mzlzpn7605+qurr66Fj9+vX1zjvvqEePHgmtBQCAmpitvIEygimA2DBnTGnjRbhcEUzNvTwrKyu1ePHiiK6xfv167dy50zLWpUuXOtcWrvfff1/XXnutKisrj47Vq1dPb775ps4777yE1QEAQG2YMQUQL7atYgimCJMrgmmfPn3UuHFjy9hHH30U0TUKCgosx2lpabrkkkvqWlpYPv74Y1111VUKBAJHxzIyMvTaa6/poosuSkgNAACEywymvGMKIFbMH7pYkRfhckUwzczM1GWXXWYZe/nll21LTR/PSy+9ZDnu06dPQrZM+fTTT3X55ZfryJEjR8fS0tI0depUXXXVVXG/PwAAkWJVXgDxwowpouWKYCpJ11xzjeV4w4YNmjVrVljnLl++XPPmzbOMDRs2LGa11WT16tW65JJLbNvU/PnPf9Z1110X9/sDABAN24wprbwAYqSs9IjlmHdMES7XBNPBgwfb3jUdPXq0iouLj3teVVWVRo4caRlr1aqVbr755rDu6/P5LH8NHDgwrPO+/vprXXjhhdq7d69l/KmnntLPfvazsK4BAIATzK0bmDEFECu08iJargmmPp9PEyZMsIxt2rRJ+fn5thnJ75SXl+u6667T0qVLLeMPPPCA6teP335J27dv16BBg7R9+3bL+O9+9zv98pe/jNt9AQCIBfOLojnDAQDRsrfysocpwpPhdAHHuuKKK3T11Vdr+vTpR8fmzp2rrl27asyYMbrgggvUunVr7dq1SwsWLNCTTz6p1atXW67Rp08f2z6isTZs2DBt2LDBMnbSSSepuLhY9913X9TXZEsZAEAihGrlDQaD8vl8DlUEIFWwXQyi5apgKklTpkzRli1bLNvFbNq0SaNHj6713Ly8PE2fPl0ZGfH9Y23bts02tmPHDj322GNRX7Njx44EUwBAQpiLH1VXV6uivFz1/H6HKgKQKsx31s3nDVAT17TyficnJ0cffPBBxCvannfeeVqwYIFOOumkOFUGAEBqCDWDwZYxAGKBGVNEy3XBVPo2nM6YMUMzZ85U3759j/vZrl27aurUqSooKFDLli0TVCEAAMkr1BdFc8ESAIgGwRTRcl0r77Hy8/OVn5+v7du3a+HChdq4caNKSkqUnZ2ttm3bqlevXjr11FPrdI9I9kr9zsaNG+t0TwAAnJTp98uXlqZgdfXRMVbmBRALtPIiWq4Opt9p3bq1hgwZ4nQZAACkBJ/Pp6zsbJWWlBwdC7AyL4AYYB9TRMuVrbwAACC+/NlZlmNaeQHEgn27GIIpwkMwBQDAg8wvi7TyAogF80cuZkwRLoIpAAAeFGovUwCoi+qqKpUHApYxZkwRLoIpAAAelFWfGVMAsRUoK7ONmc8aoCYEUwAAPMifXd9yzD6mAOoq1LvqWcazBqgJwRQAAA8yW3mZMQVQV4Ey+3OE7WIQLoIpAAAeZH5ZZMYUQF2ZM6aZ9eopPT3doWqQbAimAAB4kG3GlMWPANQRW8WgLgimAAB4kG1VXmZMAdSR+UoACx8hEgRTAAA8yGzl5R1TAHXFHqaoC4IpAAAeRCsvgFijlRd1QTAFAMCDzC0caOUFUFdlpUcsx7TyIhIEUwAAPMjeynukhk8CQHgCR8wZU/YwRfgIpgAAeBCLHwGINdviR7TyIgIEUwAAPMh89ytQWqZgMOhQNQBSgW3xI1p5EQGCKQAAHmR+YQwGgwqUlTlUDYBUwOJHqAuCKQAAHhSqxc58PwwAIkErL+qCYAoAgAeFWpSEvUwB1IVt8SNaeREBgikAAB6UkZmhtPR0yxgLIAGoC3N1b38WwRThI5gCAOBBPp/P1mZXdoQtYwBEz9bKy4wpIkAwBQDAo8wvjbTyAqgLs+uCd0wRCYIpAAAeZd8yhmAKIHrmdjGsyotIEEwBAPAoeysvwRRAdKoqK1VZUWEZo5UXkSCYAgDgUf761pV5A2UEUwDRCZTa90GmlReRIJgCAOBRzJgCiBVzRV4p9LZUQE0IpgAAeJQZTHnHFEC0Qv2w5c/OcqASJCuCKQAAHuVnVV4AMWL+sOXPylJaGlED4eN/LQAAeJRtxpRWXgBRMn/YYkVeRIpgCgCAR5lfHJkxBRAts5WXFXkRKYIpAAAeZX5xJJgCiJatlZcZU0SIYAoAgEdlGStm0soLIFrmqrxsFYNIEUwBAPAoeyuvfbsHAAiH2cprLq4G1IZgCgCAR5mtvGwXAyBa5vPD7MgAakMwBQDAo8xWu1D7EAJAOMx31GnlRaQIpgAAeJTZylseCKi6qsqhagAkM/MddVp5ESmCKQAAHhVqO4dAWZkDlQBIdsyYoq4IpgAAeFSo7Rxo5wUQDTOY+rOzHKoEyYpgCgCAR4Wa0WAvUwDRCBwxt4th8SNEhmAKAIBHpWdkKCMz0zIWYMsYAFGwz5jSyovIEEwBAPAw8z1TWnkBRMO2XQyLHyFCBFMAADzMnNWglRdANMwftZgxRaQIpgAAeJj5nmmglFV5AUTOXNGbVXkRKYIpAAAeZi5QYrbjAUBtKsorVFVZaRmjlReRIpgCAOBhfvMdUxY/AhChUIum+VmVFxEimAIA4GG2Vl4WPwIQoVDvpjNjikgRTAEA8DAWPwJQV+bCR760NNXz+x2qBsmKYAoAgIexXQyAujLfTfdnZcnn8zlUDZIVwRQAAA+zr8pLMAUQGbPTgjZeRINgCgCAh9kXPyKYAoiM+W46e5giGgRTAAA8zLZdDK28ACJkrubNHqaIBsEUAAAPsy9+xHYxACJDKy9igWAKAICH2RY/opUXQITsrbzsYYrIEUwBAPAwFj8CUFe2GVNaeREFgikAAB5ma+XlHVMAETKDqbmoGhAOgikAAB5mBtPKigpVVVY6VA2AZGRr5c3KcqgSJDOCKQAAHhaq5Y73TAFEglZexALBFAAADwu1eibtvAAiETC3i6nP4keIHMEUAAAPC9VyZ37JBIDjMX/MMl8RAMJBMAUAwMPS0tNVz++3jDFjCiAS7GOKWCCYAgDgceaXyEBZmUOVAEhGgVLrM4N3TBENgikAAB7HljEA6sLc/5hWXkSDYAoAgMdlZVsXKjG/ZAJATYLBIK28iAmCKQAAHuc3vkSWsfgRgDBVBAIKVldbxswfu4BwEEwBAPA4830wWnkBhCvUvse08iIaBFMAADzODKa08gIIV6hgSisvokEwBQDA4+ytvARTAOEJGB0WaenpysjMdKgaJDOCKQAAHmebMaWVF0CYbAsfZWfL5/M5VA2SGcEUAACPs20Xw4wpgDCZ76TTxotoEUwBAPA484skwRRAuALGKt4sfIRoEUwBAPA42z6mR9guBkB4QrXyAtHIcLqAcOzYsUOLFi3Shg0bVFJSouzsbOXm5qpnz55q37690+XZrFmzRp999pl27NihQCCgnJwc5eXlqU+fPmratKnT5QEAYEErL4Bome+k++uzhymi4+pgOmvWLD322GP65JNPFAwGQ36mW7duuuuuu3T99dc7+qJ1RUWF/vznP+uPf/yj1q9fH/Iz6enpuuiii3T//ferX79+Ca4QAIDQzFZetosBEC5mTBErrmzlLS4u1tChQ5Wfn68FCxbUGEolafny5Ro+fLjOP/987dq1K4FV/s+6det0zjnn6I477qgxlEpSVVWVZs+erfPOO0+33367KioqElglAACh+bOyLMfmYiYAUBMzmPqzs2r4JHB8rgumxcXFGjRokKZPnx7ReQUFBerXr5927twZp8pCW7Nmjfr27atVq1ZFdN6f/vQnDRs2TJWVlXGqDACA8GQZrXdlpaXH/VEYAL5jtvIyY4pouS6Y3njjjVq0aJFlLDc3VxMnTtTKlSu1f/9+rV69Wi+88II6depk+VxRUZGGDBmSsLB36NAhXXHFFdq7d69lvHfv3nrttde0bt06ffPNN1q2bJnGjRunZs2aWT43c+ZM3X///QmpFQCAmpjvmFZXVamSrh4AYbDPmBJMER1XBdNZs2Zp2rRplrEBAwZoxYoVuuOOO3TWWWfphBNOUKdOnTRy5EgtW7ZMw4YNs3y+sLBQzz33XELqHT9+vK1195e//KUKCwt17bXXqkOHDmratKnOPvtsPfTQQ/r888/VuXNny+efeOIJrVixIiH1AgAQSqgZDtp5AYSjzNguxuzAAMLlmmAaDAY1duxYy1hubq5mzZqlxo0bhzzH7/fr1VdfVY8ePSzjDz/8sI7Eean7bdu2afLkyZaxK6+8Uk899VSNizC1adNGs2fPVk5OztGxUH9uAAASyV/fHkxZAAlAOGyr8jJjiii5JpjOnDlTy5cvt4w988wzlhAXSnp6ul544QXL2M6dO21jsfaHP/xBZWVlR4+zs7NtQTWUtm3b6re//a1l7O2337b92QEASBR/VpbtR1W2jAEQjsAx34cl3jFF9FwTTP/1r39Zjk855RQNHjw4rHO7d+9u237FbAmOpWAwaLv+sGHDdNJJJ4V1/o033qgGDRpYxuJZLwAAx+Pz+WwraTJjCiAcZtu/uf0UEC5XBNOKigq9++67lrFI9yUdMWKE5biwsFC7d++ORXk2S5cu1fbt2y1jw4cPD/v8Ro0a6aqrrrKMzZw5Mya1AQAQDbP9jhlTAOEwf8SilRfRckUwLSws1MGDBy1jAwcOjOga5uerq6s1Z86cOlYW2uzZsy3H9erVU9++fSO6hlnvqlWrtHnz5rqWBgBAVLKyrQuWmO+NAUAo5o9YtPIiWq4IpuaqtOnp6erdu3dE18jLy1PLli0tYytXrqxzbaGY9Z5zzjnKyopsM+Fzzz3XNhavegEAqI19xjS+iwgCSH7V1dW2GVNaeREtVwTTtWvXWo5zc3Nt72CGw9zX1LxurJjXNe8bjtNOO03p6enHvS4AAIlifpmklRdAbcqNhY8kyZ/NdjGIjiuC6Zo1ayzHubm5UV2nbdu2luN4BL2qqiqtW7fOMhZNvenp6WrdurVljGAKAHCK2X5HKy+A2oT6AYsZU0TLFcHUXEjIDJjhMgPitm3boq6pJnv37lV5ebllzM31AgAQDhY/AhCpUD9g8Y4popXhdAGSVFxcbDlu1KhRVNcxzystLVV1dbXS0mKXv81aQ903XOZ5oa4djd27d2vPnj0RnVNUVBSTewMAkpM5y/HB9Dc19623HaoGQDIIBoOW44zMTKVnuCJeIAm54n85ZiDLjvKXllDnFRcXRx0cQwkVHmNVb6yC6eTJkzV+/PiYXAsA4A3mjGmwulqV1dUOVQMgGdHGi7pwRStvSUmJ5TjSFW6/U1MwjSWzVil29ca6VgAAwtW8VSunSwCQ5JoZO2QAkXBFMAUAAM7qOaC/2nbIc7oMAEkqs149/d/11zldBpKYK1p5GzRooAMHDhw9Lgux9HQ4SkMs1NCwYcNoywop1DY2sao3VrWOGjVKw4YNi+icoqIiXXnllTG5PwAg+dTPaaj7Jk3U7q3bFIjyv2sAvMnn86llm5NVL8ouQkBySTBt2LChJZiGCpjhSEQwDXW9WNUbq1pbtGihFi1axORaAADv8Pl8atm2jdNlAAA8yBWtvGYgO3ToUFTXMc/Lzs6O6Yq8UujwGKt6Yx2iAQAAACAZuCKYtm7d2nK8ZcuWqK5jnmdeNxaaN2+uevXqHfe+4UpEvQAAAADgdq4Iph07drQcb968OarrmOd16tQp6ppqkp6erg4dOhz3vuGoqqrS9u3bLWPxqBcAAAAA3M4VwdQMZFu2bAm5LUtt1q5dazk2A2+smPWuWbMm4msUFRWpsrLSMhavegEAAADAzVwRTLt27Wo5rqys1OLFiyO6xvr167Vz507LWJcuXepcWyhmvZ999lnEK/N+/PHHtrF41QsAAAAAbuaKYNqnTx81btzYMvbRRx9FdI2CggLLcVpami655JK6lhbSpZdeajkuLy9XYWFhRNcw6z3rrLOUm5tb59oAAAAAINm4IphmZmbqsssus4y9/PLLCgaDYV/jpZdeshz36dMnblum9OzZ07ZQkXn/4zl8+LBmzJhhGRs8eHBMagMAAACAZOOKYCpJ11xzjeV4w4YNmjVrVljnLl++XPPmzbOMDRs2LGa1mXw+n+3606ZNs7US12TKlCm2d2iHDh0as/oAAAAAIJm4JpgOHjzY9u7m6NGjVVxcfNzzqqqqNHLkSMtYq1atdPPNN4d1X5/PZ/lr4MCBYZ13zz33KCsr6+jxkSNHdNttt9V63tatWzV27FjLWH5+vs4+++yw7gsAAAAAqcY1wdTn82nChAmWsU2bNik/P1+HDh0KeU55ebmuu+46LV261DL+wAMPqH79+nGrVZJOPvlkjRo1yjI2ffp03XPPPTW2IG/dulWXXnqp5c/j8/n0u9/9Lq61AgAAAICbuSaYStIVV1yhq6++2jI2d+5cde3aVZMmTdLq1at14MABffnll3rxxRfVvXt3vf7665bP9+nTR7fccktC6h03bpxOPfVUy9gTTzyhvn37atq0afr666+1f/9+LV++XL/97W/VvXt3rVq1yvL5MWPG2GaKAQAAAMBLMpwuwDRlyhRt2bLFsl3Mpk2bNHr06FrPzcvL0/Tp05WRkZg/VqNGjfT2229rwIAB+uabb46OL1y40PbObCj5+fl69NFH41kiAAAAALieq2ZMJSknJ0cffPCBrrrqqojOO++887RgwQKddNJJcaostM6dO2vBggXq3LlzROeNGjVKb7zxRsJCNAAAAAC4leuCqfRtOJ0xY4Zmzpypvn37HvezXbt21dSpU1VQUKCWLVsmqEKrM844Q8uWLdPEiRNtrb3H+m5v1Xnz5unZZ59VZmZmAqsEAAAAAHfyBSPZLNQh27dv18KFC7Vx40aVlJQoOztbbdu2Va9evY4bBJ3yxRdfaNmyZdq+fbvKy8uVk5OjvLw89enTR82aNXO6vJC++OILnXXWWUePV61aFfEsMAAAAIDk5WQmSIo+0tatW2vIkCFOlxG2zp07E+oAAAAAIEyubOUFAAAAAHgHwRQAAAAA4CiCKQAAAADAUQRTAAAAAICjCKYAAAAAAEclxaq8iL9AIGA5LioqcqgSAAAAAE4wM4CZEeKJYApJ0pYtWyzHV155pTOFAAAAAHCFLVu26JxzzknIvWjlBQAAAAA4imAKAAAAAHCULxgMBp0uAs47cOCACgoKjh63bdtWfr/fkVqKioosrcRvvfWWOnTo4EgtAJIHzw4AkeK5AVgFAgHLK34DBgzQCSeckJB7844pJEknnHCCBg8e7HQZIXXo0EGdO3d2ugwASYZnB4BI8dwAlLB3Sk208gIAAAAAHEUwBQAAAAA4imAKAAAAAHAUwRQAAAAA4CiCKQAAAADAUQRTAAAAAICjCKYAAAAAAEcRTAEAAAAAjiKYAgAAAAAcRTAFAAAAADiKYAoAAAAAcFSG0wUAphNPPFHjxo2zHANAbXh2AIgUzw3APXzBYDDodBEAAAAAAO+ilRcAAAAA4CiCKQAAAADAUQRTAAAAAICjCKYAAAAAAEcRTAEAAAAAjiKYAgAAAAAcRTAFAAAAADiKYAoAAAAAcBTBFAAAAADgKIIpAAAAAMBRBFMAAAAAgKMIpgAAAAAAR2U4XQBwrB07dmjRokXasGGDSkpKlJ2drdzcXPXs2VPt27d3ujwAKWTfvn0qLCzU+vXrdfjwYfn9frVu3Vrdu3dXp06dnC4PwHFs3bpVq1at0ubNm7V//35JUpMmTdSyZUv16tVLrVu3jst9i4uLVVhYqK+++koHDhxQZmamWrZsqa5du+rss8+Wz+eLy30BLyCYwhVmzZqlxx57TJ988omCwWDIz3Tr1k133XWXrr/+eh78QAr45ptvtHTpUi1ZskSLFy/WkiVLtHPnTstnxo0bp4ceeiim9/3444/18MMP6z//+Y+qqqpCfqZDhw66/fbbdeuttyozMzOm9wcQuV27duntt9/Whx9+qLlz52r37t3H/fypp56qm266ST/72c/UvHnzOt9/5cqVmjBhgt566y2Vl5eH/Ezr1q3185//XGPGjFGDBg3qfE/Aa3zBmlIAkADFxcUaMWKEpk+fHvY5AwYM0Ouvv66WLVvGsTIA8fDUU08dDaJff/11rZ+PZTCtqKjQL3/5Sz377LNhn9OlSxdNnz5dp512WkxqABCZpUuX6le/+pUKCgpUXV0d8fk5OTmaOHGibrzxxqjuHwwG9fDDD2v8+PGqrKwM65zc3FxNmzZN3/ve96K6J+BVBFM4pri4WIMGDdKiRYsiPrdDhw6aP3++WrVqFYfKAMRLpN0OsQqmlZWVGjp0qGbOnBnxuSeeeKIKCgpo7wUc8Nxzz+nWW2+t83VuueUW/fnPf474vF/84heaPHlyxOdlZ2drzpw56t+/f8TnAl7F4kdwzI033mgLpbm5uZo4caJWrlyp/fv3a/Xq1XrhhRdsXwiLioo0ZMiQsH+9BOBtv/71r22htHnz5ho/frw+//xz7du3T+vWrdOrr75qm+XYs2ePrrjiCh06dCiRJQOoQYcOHXTrrbfq9ddf14oVK7Rz504dOHBAa9eu1Ysvvqjvf//7tnOee+45jRs3LqL7PPvss7ZQ2rBhQ40ZM0aLFy/W3r17tWHDBr399tu68MILLZ8rLS3VVVddpS1btkT+BwS8Kgg44O233w5Ksvw1YMCA4IEDB0J+vqysLDhs2DDbOZMmTUpw5QDqwvx3uGHDhsEBAwYE77777uDrr79u+/vjxo2r8z0///zzoM/ns1y3c+fOwa1bt4b8fHV1dfDOO++01TJmzJg61wIgMn/+85+DkoIZGRnBn/zkJ8GPPvoorPOef/75YGZmpuXf4YyMjOCqVavCOn/nzp3B+vXrW84/+eSTj3v+E088YXvWXH311WHdD0AwSCsvEi4YDKp79+5avnz50bHc3FytWrVKOTk5NZ5XVVWl3r1769NPPz061qpVK61fv17169ePa80AYqN3797q1avX0b86duyotLT/Ne+Yrb6xaOXNz8/XrFmzjh7n5OToiy++UNu2bY973pVXXmmZZc3OzlZRUVHcVvsEYPeXv/xFH330kX7729+qQ4cOEZ07ZcoU27ul11xzjV5//fVazx09erQmTZp09Dg9PV2LFi1Sjx49jnvenXfeqWeeeebosc/n09KlS3XOOedEVDvgRQRTJNxbb72lq666yjL25ptv6sorr6z13GXLltke7hMnTtQdd9wRyxIBOCTWwfTzzz9X9+7dLWNPP/207rzzzlrP3bFjh/Ly8lRaWnp07M4779TTTz8ddT0AIlNVVaX09PSozx84cKAKCgqOHufk5Gjv3r2qV69ejefs2rVLubm5ltV377jjDk2cOLHW+5WUlOj000/X9u3bj45deeWVevPNN6P7AwAewjumSLh//etfluNTTjlFgwcPDuvc7t27q1+/fpaxadOmxaw2AKnFfN40aNBAN910U1jnnnTSSbr66qstY2+88UbMagNQu7qEUkkaPny45fjw4cNasWLFcc+ZOXOmJZT6fD6NHj06rPs1aNDANks7e/ZsFRcXh1kx4F0EUyRURUWF3n33XctYpPuSjhgxwnJcWFhY635mALzJXPBoyJAhx31lwGQ+b7Zu3Wp5nQCAu3Xr1s02tmPHjuOeYz43+vXrp1NPPTXse5rPjUAgoPfeey/s8wGvIpgioQoLC3Xw4EHL2MCBAyO6hvn56upqzZkzp46VAUg1mzdv1urVqy1jkT5v+vbtq8zMTMvYv//977qWBiBBsrOzbWMlJSU1fr68vFwffvihZSzS50ZeXp7atGljGeO5AdSOYIqEMttn0tPT1bt374iukZeXp5YtW1rGVq5cWefaAKSWUO165557bkTXyM7Otr3XzvMGSB6bN2+2jbVo0aLGz3/11VcKBAKWsUifG6HO4bkB1I5gioRau3at5Tg3N1cNGjSI+DrmvqbmdQHAfC5kZGTotNNOi/g6PG+A5HXswkffycvLq/Hzof79Np8B4TDP+fLLLyO+BuA1BFMk1Jo1ayzHubm5UV3H3OaBL4oATObz5uSTT7ZsTRMu83mzbt06VVVV1ak2APFXVVWlf/zjH5axTp06qV27djWeYz430tPTdfLJJ0d8b/O5cfjwYW3bti3i6wBeQjBFQh27fLpkf3CHywy0POwBmOL1vAkEAvrmm2+irgtAYvz1r3/Vli1bLGPXXnvtcc8xnxsnnXRSVCsDh/rhne8qwPERTJFQ5nLpjRo1iuo65nmlpaWqrq6Oui4AqSdez5tQ1wbgLlu3btW9995rGWvSpIluv/32457HcwNwDsEUCWU+lEOtlheOUOfxwAdwLJ43gDdVVlbqxz/+sW0XgEceeURNmzY97rk8NwDnEEyRUOYS7VlZWVFdhwc+gNrwvAG86c4779T8+fMtYxdffLF+/vOf13ouzw3AOQRTAAAApIRJkybp2WeftYy1adNGL7/8snw+n0NVAQgHwRQJZW4NU1ZWFtV1SktLbWMNGzaM6loAUhPPG8BbXnvtNd15552WscaNG+vf//63TjzxxLCuwXMDcA7BFAllPpRDPbjDwQMfQG143gDeMWfOHP30pz+1LISYnZ2tWbNmqWvXrmFfh+cG4ByCKRLKfCgfOnQoquuY52VnZ0e1PyGA1BWv502oawNwzscff6yrr75aFRUVR8cyMzM1bdo0nXfeeRFdi+cG4By+ySOhWrdubTk29xcLl3meeV0AiNfzxu/3q1mzZlHXBSB2Pv30U11++eU6cuTI0bG0tDT9/e9/1+WXXx7x9cznxo4dO1RVVRXxdUI9b/iuAhwfwRQJ1bFjR8vx5s2bo7qOeV6nTp2irglAajKfN9u2bYtqv2PzeXPaaacpPT29TrUBqLsvvvhCF198sW128rnnntMPf/jDqK5pPjeqqqq0bdu2iK9jPjdycnLUpk2bqGoCvIJgioQyA+SWLVtsS7OHY+3atZZj8z8kAGA+byorK7Vu3bqIr8PzBnCfoqIiXXjhhfrmm28s408++aRuvvnmqK8b6ofuNWvWRHwd87lxxhlnRF0T4BUEUySUuQBBZWWlFi9eHNE11q9fr507d1rGunTpUufaAKSWUAuefPLJJxFdo7S0VJ999plljOcN4KwtW7Zo0KBB2rFjh2X8oYce0l133VWna59++uny+/2WsUifG5K0YMECyzHPDaB2BFMkVJ8+fdS4cWPL2EcffRTRNQoKCizHaWlpuuSSS+paGoAUk5ubqzPPPNMyFunzprCwUOXl5ZaxaN5bAxAbu3bt0gUXXKBNmzZZxseMGaNx48bV+fr16tXTBRdcYBmL9Lnx9ddf294x5bkB1I5gioTKzMzUZZddZhl7+eWXFQwGw77GSy+9ZDnu06ePWrRoEZP6AKSWwYMHW45nzJih4uLisM83nzdt2rRRjx49YlIbgMjs27dPF154oa0l/+c//7meeOKJmN3HfG7Mnz9fX3/9ddjnm88Nv9+viy++OCa1AamMYIqEu+aaayzHGzZs0KxZs8I6d/ny5Zo3b55lbNiwYTGrDUBqMZ8PxcXFevHFF8M6d+fOnZo2bZplbOjQoTGrDUD4iouLdemll2rlypWW8Z/85Cf685//HNN7DR48WPXq1Tt6HAwG9ac//Smsc48cOaK//e1vlrFLL72UrWKAMBBMkXCDBw+2vfs1evToWmcxqqqqNHLkSMtYq1at6rTIAYDU1r17d/3f//2fZezBBx8Ma5XNUaNGqbS09OhxVlaW7rnnnpjXCOD4ysrKdMUVV9jWpBgyZIimTp0qn88X0/u1bNlSP/vZzyxjkyZN0rJly2o99ze/+Y3l+eLz+TR27NiY1gekKoIpEs7n82nChAmWsU2bNik/P7/GjazLy8t13XXXaenSpZbxBx54QPXr149brQCS34QJEyxfXA8ePKhLL71U27dvD/n5YDCoMWPG6M0337SM/+IXv2AfQiDBKisrNWzYMNt7npdeeqleffXVuG3dZH6/qKys1ODBg7V69eoaz3n66ac1ceJEy9iQIUN0zjnnxKVGINX4gpG83AfE0NChQzV9+nTLWLt27TRmzBhdcMEFat26tXbt2qUFCxboySeftP3HoE+fPpo3b54yMjISWTaAOvj0009t7bHHeuyxxyzH5557rvr16xfys02aNNG9994b1n3vvvtuPfnkk5axE088UaNHj1Z+fr7atm2rffv26dNPP9VTTz2lRYsWWT6bl5enzz77TI0aNQrrfgBi44EHHtAjjzxiGcvIyNCoUaOUnZ0d1TV79OgR1mtAf/rTn3T77bdbxnJycnTLLbfo2muvVfv27VVcXKwVK1Zo0qRJev/99y2fbdq0qZYtW6bc3Nyo6gS8hmAKxxw+fFiDBg2KeLsY6dsvifPnz9dJJ50Uh8oAxMvUqVN1ww03xORa7dq108aNG8P6bGVlpYYMGRL2++zHat68uQoKCmwr/AKIvxEjRtgWE6qr4cOHa+rUqWF9dtSoUVG9w5qdna3Zs2drwIABEZ8LeBWtvHBMTk6OPvjgA1111VURnXfeeedpwYIFhFIAYcvIyND06dN16623RnRe586d9cknnxBKAY969tlnNX78+Ihahtu2bau5c+cSSoEIEUzhqJycHM2YMUMzZ85U3759j/vZrl27aurUqSooKFDLli0TVCGAVJGZmanJkydr3rx5uvjii5WWVvN/Ak899VRNnDhRy5Yt02mnnZbAKgG4ic/n04MPPqjPPvtMw4YNs6zWazrppJP00EMPafXq1erdu3cCqwRSA628cJXt27dr4cKF2rhxo0pKSpSdna22bduqV69eOvXUU50uD0AK+eabb1RYWKj169fr8OHDqlevnlq3bq1zzjmHGVIAIR0+fFiffPKJ1q1bp4MHDyo9PV0tW7ZUt27d1L1795ivEAx4CcEUAAAAAOAoWnkBAAAAAI4imAIAAAAAHEUwBQAAAAA4imAKAAAAAHAUwRQAAAAA4CiCKQAAAADAUQRTAAAAAICjCKYAAAAAAEcRTAEAAAAAjiKYAgAAAAAcRTAFAAAAADiKYAoAAAAAcBTBFAAAAADgKIIpAAAAAMBRBFMAAAAAgKMIpgAAAAAARxFMAQAAAACOIpgCAAAAABxFMAUAAAAAOIpgCgAAAABwFMEUAAAAAOAogikAAAAAwFEEUwAAAACAowimAAAAAABHEUwBAAAAAI4imAIAAAAAHEUwBQAAAAA4imAKAAAAAHAUwRQAAAAA4CiCKQAAAADAUQRTAAAAAICjCKYAAAAAAEcRTAEAAAAAjiKYAgAAAAAcRTAFAAAAADiKYAoAAAAAcBTBFAAAAADgKIIpAAAAAMBR/w9CzoUt16QcqwAAAABJRU5ErkJggg==" - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ + "d.plot_ts(Y=tankHead, title='Tank Head', marker=False)\n", "d.plot_ts(Y=S, title='Link Status', marker=False)" ] }, { "cell_type": "code", - "execution_count": 5, - "id": "4b7568c8", + "execution_count": null, + "id": "44c02254", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Close toolkit for the input file \"Net1\". EPANET Toolkit is unloaded.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ - "# Unload library.\n", - "d.unload()" + "d.plot_show()" ] } ], "metadata": { - "kernelspec": { - "display_name": "Python 3.10.6 64-bit (windows store)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.6" - }, - "vscode": { - "interpreter": { - "hash": "0df096debc758afc4e07b4a6d7176310e13b87e5b446a84739768769d4d90649" - } + "jupytext": { + "cell_metadata_filter": "-all", + "main_language": "python", + "notebook_metadata_filter": "-all" } }, "nbformat": 4, diff --git a/examples/notebooks/EX18_Pressure_driven_analysis_option.ipynb b/examples/notebooks/EX18_Pressure_driven_analysis_option.ipynb index 8b5275a..60c7e6b 100644 --- a/examples/notebooks/EX18_Pressure_driven_analysis_option.ipynb +++ b/examples/notebooks/EX18_Pressure_driven_analysis_option.ipynb @@ -1,125 +1,159 @@ { "cells": [ { - "cell_type": "markdown", - "id": "d39841a4", + "cell_type": "code", + "execution_count": null, + "id": "690175ba", "metadata": {}, + "outputs": [], "source": [ - "### Test the Pressure Driven Analysis option.\n", + "\"\"\" Test the Pressure Driven Analysis option.\n", + "\n", + " This example contains:\n", + " Set Demand Multiplier to 10 to cause negative pressures.\n", + " Run single period analysis.\n", + " Solve hydraulics with default DDA option which will return with neg. pressure warning code.\n", + " Check that 4 demand nodes have negative pressures.\n", + " Switch to PDA with pressure limits of 20 - 100 psi.\n", + " Solve hydraulics again.\n", + " Check that 6 nodes had demand reductions totaling 32.66.\n", + " Check that Junction 12 had full demand.\n", + " Check that Junction 21 had a demand deficit of 413.67.\n", + " Unload library.\n", "\n", - "This example contains:\n", - "* Set Demand Multiplier to 10 to cause negative pressures.\n", - "* Run single period analysis.\n", - "* Solve hydraulics with default DDA option which will return with neg. pressure warning code.\n", - "* Check that 4 demand nodes have negative pressures.\n", - "* Switch to PDA with pressure limits of 20 - 100 psi.\n", - "* Solve hydraulics again.\n", - "* Check that 6 nodes had demand reductions totaling 32.66.\n", - "* Check that Junction 12 had full demand.\n", - "* Check that Junction 21 had a demand deficit of 413.67.\n", - "* Unload library.\n", + " https://github.com/OpenWaterAnalytics/EPANET/blob/a184a3a39a7bf3663943c0504c6c1c2f632f44dd/tests/test_pda.cpp\n", "\n", - "https://github.com/OpenWaterAnalytics/EPANET/blob/a184a3a39a7bf3663943c0504c6c1c2f632f44dd/tests/test_pda.cpp\n" + "\"\"\"\n", + "from epyt import epanet" ] }, { "cell_type": "code", - "execution_count": 6, - "id": "67d8d601", + "execution_count": null, + "id": "64893866", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "EPANET version 20200 loaded (EPyT version 1.0.5).\n", - "Input File Net1.inp loaded successfully.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ - "from epyt import epanet\n", - "\n", - "# Load network\n", "d = epanet('Net1.inp')" ] }, { "cell_type": "code", - "execution_count": 7, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "True\n", - "False\n", - "False\n", - "True\n", - "False\n" - ] - } - ], + "execution_count": null, + "id": "47aff4d8", + "metadata": {}, + "outputs": [], "source": [ "# Set Demand Multiplier to 10 to cause negative pressures.\n", - "d.setOptionsPatternDemandMultiplier(10)\n", - "\n", + "d.setOptionsPatternDemandMultiplier(10)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d1ae61e6", + "metadata": {}, + "outputs": [], + "source": [ "# Run single period analysis.\n", - "d.setTimeSimulationDuration(0)\n", - "\n", + "d.setTimeSimulationDuration(0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7b78e1c4", + "metadata": {}, + "outputs": [], + "source": [ "# Solve hydraulics with default DDA option which will return with neg. pressure warning code.\n", - "d.solveCompleteHydraulics()\n", - "\n", + "d.solveCompleteHydraulics()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "66e387c5", + "metadata": {}, + "outputs": [], + "source": [ "# Check that 4 demand nodes have negative pressures.\n", "deficient_nodes = d.getStatistic().DeficientNodes\n", - "print(True) if abs(deficient_nodes) == 4 else print(False)\n", - "\n", + "print(True) if abs(deficient_nodes) == 4 else print(False)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fa2cba44", + "metadata": {}, + "outputs": [], + "source": [ "# Switch to PDA with pressure limits of 20 - 100 psi.\n", "Type = 'PDA'\n", "pmin = 0\n", "preq = 0.1\n", "pexp = 0.5\n", - "d.setDemandModel(Type, pmin, preq, pexp)\n", - "\n", + "d.setDemandModel(Type, pmin, preq, pexp)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "12a8770a", + "metadata": {}, + "outputs": [], + "source": [ "# Solve hydraulics again.\n", - "d.solveCompleteHydraulics()\n", - "\n", + "d.solveCompleteHydraulics()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "82613872", + "metadata": {}, + "outputs": [], + "source": [ "# Check that 6 nodes had demand reductions totaling 32.66.\n", "deficient_nodes = d.getStatistic().DeficientNodes\n", "demand_reduction = d.getStatistic().DemandReduction\n", "print(True) if abs(deficient_nodes) == 6 else print(False)\n", - "print(True) if abs(demand_reduction - 32.66) < 0.01 else print(False)\n", - "\n", + "print(True) if abs(demand_reduction - 32.66) < 0.01 else print(False)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5c4f7fb1", + "metadata": {}, + "outputs": [], + "source": [ "# Check that Junction 12 had full demand.\n", "junctionIndex_12 = d.getNodeIndex('12')\n", "demand_deficit_12 = d.getNodeDemandDeficit(junctionIndex_12)\n", - "print(True) if abs(demand_deficit_12) < 0.01 else print(False)\n", - "\n", + "print(True) if abs(demand_deficit_12) < 0.01 else print(False)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a6b778bd", + "metadata": {}, + "outputs": [], + "source": [ "# Check that Junction 21 had a demand deficit of 413.67.\n", "junctionIndex_21 = d.getNodeIndex('21')\n", "demand_deficit_21 = d.getNodeDemandDeficit(junctionIndex_21)\n", "print(True) if abs(demand_deficit_21 - 413.67) < 0.01 else print(False)" - ], - "metadata": { - "collapsed": false - } + ] }, { "cell_type": "code", - "execution_count": 8, - "id": "047acd54", + "execution_count": null, + "id": "b15d8b40", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Close toolkit for the input file \"Net1\". EPANET Toolkit is unloaded.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ "# Unload library.\n", "d.unload()" @@ -127,27 +161,10 @@ } ], "metadata": { - "kernelspec": { - "display_name": "Python 3.10.6 64-bit (windows store)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.6" - }, - "vscode": { - "interpreter": { - "hash": "0df096debc758afc4e07b4a6d7176310e13b87e5b446a84739768769d4d90649" - } + "jupytext": { + "cell_metadata_filter": "-all", + "main_language": "python", + "notebook_metadata_filter": "-all" } }, "nbformat": 4, diff --git a/examples/notebooks/EX19_Overflow_option_for_tanks.ipynb b/examples/notebooks/EX19_Overflow_option_for_tanks.ipynb index 08fbbcc..98e7c49 100644 --- a/examples/notebooks/EX19_Overflow_option_for_tanks.ipynb +++ b/examples/notebooks/EX19_Overflow_option_for_tanks.ipynb @@ -1,153 +1,230 @@ { "cells": [ { - "cell_type": "markdown", - "id": "dfe94d77", + "cell_type": "code", + "execution_count": null, + "id": "17794ff0", "metadata": {}, + "outputs": [], "source": [ - "### Tests the overflow option for tanks.\n", + "\"\"\" Tests the overflow option for tanks.\n", " \n", - "This example contains:\n", - "* Get index of the tank and its inlet/outlet pipe.\n", - "* Set initial & maximum level to 130.\n", - "* Set duration to 1 hr.\n", - "* Solve hydraulics with default of no tank spillage allowed.\n", - "* Check that tank remains full.\n", - "* Check that there is no spillage.\n", - "* Check that inflow link is closed.\n", - "* Turn tank overflow option on.\n", - "* Solve hydraulics again.\n", - "* Check that tank remains full.\n", - "* Check that there is spillage equal to tank inflow (inflow has neg. sign since tank is start node of inflow pipe).\n", - "* Save project to file and then close it.\n", - "* Re-open saved file & run it.\n", - "* Check that tank spillage has same value as before.\n", - "* Unload library.\n", - "\n", - "https://github.com/OpenWaterAnalytics/EPANET/blob/dev/tests/test_overflow.cpp\n" + " This example contains:\n", + " Get index of the tank and its inlet/outlet pipe.\n", + " Set initial & maximum level to 130.\n", + " Set duration to 1 hr.\n", + " Solve hydraulics with default of no tank spillage allowed.\n", + " Check that tank remains full.\n", + " Check that there is no spillage.\n", + " Check that inflow link is closed.\n", + " Turn tank overflow option on.\n", + " Solve hydraulics again.\n", + " Check that tank remains full.\n", + " Check that there is spillage equal to tank inflow\n", + " (inflow has neg. sign since tank is start node of inflow pipe).\n", + " Save project to file and then close it.\n", + " Re-open saved file & run it.\n", + " Check that tank spillage has same value as before.\n", + " Unload library.\n", + "\n", + " https://github.com/OpenWaterAnalytics/EPANET/blob/dev/tests/test_overflow.cpp\n", + "\n", + "\"\"\"\n", + "from epyt import epanet" ] }, { "cell_type": "code", - "execution_count": 1, - "id": "c678b2b5", + "execution_count": null, + "id": "ee2d701d", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "EPANET version 20200 loaded (EPyT version 1.0.5).\n", - "Input File Net1.inp loaded successfully.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ - "from epyt import epanet\n", - "\n", - "# Load network\n", "d = epanet('Net1.inp')" ] }, { "cell_type": "code", - "execution_count": 2, - "id": "ee64b796", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "True\n", - "True\n", - "True\n", - "True\n", - "True\n", - "True\n", - "Close toolkit for the input file \"Net1\". EPANET Toolkit is unloaded.\n", - "\n", - "EPANET version 20200 loaded (EPyT version 1.0.5).\n", - "Input File net1_overflow.inp loaded successfully.\n", - "\n", - "True\n" - ] - } - ], + "execution_count": null, + "id": "c7c165f2", + "metadata": {}, + "outputs": [], "source": [ "# Get index of the tank and its inlet/outlet pipe.\n", "Nindex = d.getNodeIndex('2')\n", - "Lindex = d.getLinkIndex('110')\n", - "\n", + "Lindex = d.getLinkIndex('110')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f1572b6e", + "metadata": {}, + "outputs": [], + "source": [ "# Set initial & maximum level to 130.\n", "d.setNodeTankInitialLevel(Nindex, 130)\n", - "d.setNodeTankMaximumWaterLevel(Nindex, 130)\n", - "\n", + "d.setNodeTankMaximumWaterLevel(Nindex, 130)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "36ace7fe", + "metadata": {}, + "outputs": [], + "source": [ "# Set duration to 1 hr.\n", - "d.setTimeSimulationDuration(3600)\n", - "\n", + "d.setTimeSimulationDuration(3600)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d1b427a2", + "metadata": {}, + "outputs": [], + "source": [ "# Solve hydraulics with default of no tank spillage allowed.\n", - "d.solveCompleteHydraulics()\n", - "\n", + "d.solveCompleteHydraulics()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cbb76f95", + "metadata": {}, + "outputs": [], + "source": [ "# Check that tank remains full.\n", "level = d.getNodeTankInitialLevel(Nindex)\n", - "print(True) if abs(level - 130.0) < 0.0001 else print(False)\n", - "\n", + "print(True) if abs(level - 130.0) < 0.0001 else print(False)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e71bd6a3", + "metadata": {}, + "outputs": [], + "source": [ "# Check that there is no spillage.\n", "spillage = d.getNodeActualDemand(Nindex)\n", - "print(True) if abs(spillage) < 0.0001 else print(False)\n", - "\n", + "print(True) if abs(spillage) < 0.0001 else print(False)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c32c7126", + "metadata": {}, + "outputs": [], + "source": [ "# Check that inflow link is closed.\n", "inflow = d.getLinkFlows(Lindex)\n", - "print(True) if abs(inflow) < 0.0001 else print(False)\n", - "\n", + "print(True) if abs(inflow) < 0.0001 else print(False)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "49248291", + "metadata": {}, + "outputs": [], + "source": [ "# Turn tank overflow option on.\n", - "d.setNodeTankCanOverFlow(Nindex, 1)\n", - "\n", + "d.setNodeTankCanOverFlow(Nindex, 1)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f98adbce", + "metadata": {}, + "outputs": [], + "source": [ "# Solve hydraulics again.\n", - "d.solveCompleteHydraulics()\n", - "\n", + "d.solveCompleteHydraulics()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c28dfc30", + "metadata": {}, + "outputs": [], + "source": [ "# Check that tank remains full.\n", "level = d.getNodeTankInitialLevel(Nindex)\n", - "print(True) if abs(level - 130.0) < 0.0001 else print(False)\n", - "\n", + "print(True) if abs(level - 130.0) < 0.0001 else print(False)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1acc5e49", + "metadata": {}, + "outputs": [], + "source": [ "# Check that there is spillage equal to tank inflow\n", "# (inflow has neg. sign since tank is start node of inflow pipe).\n", "spillage = d.getNodeActualDemand(Nindex)\n", - "print(True) if abs(spillage) > 0.0001 else print(False)\n", - "\n", + "print(True) if abs(spillage) > 0.0001 else print(False)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c3589d34", + "metadata": {}, + "outputs": [], + "source": [ "inflow = d.getLinkFlows(Lindex)\n", - "print(True) if abs(-inflow - spillage) < 0.0001 else print(False)\n", - "\n", + "print(True) if abs(-inflow - spillage) < 0.0001 else print(False)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d2d4d2d4", + "metadata": {}, + "outputs": [], + "source": [ "# Save project to file and then close it.\n", "d.saveInputFile('net1_overflow.inp')\n", - "d.unload()\n", - "\n", + "d.unload()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6db6ba09", + "metadata": {}, + "outputs": [], + "source": [ "# Re-open saved file & run it.\n", "d = epanet('net1_overflow.inp')\n", - "d.solveCompleteHydraulics()\n", - "\n", + "d.solveCompleteHydraulics()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "16a7eb3e", + "metadata": {}, + "outputs": [], + "source": [ "# Check that tank spillage has same value as before.\n", "spillage2 = d.getNodeActualDemand(Nindex)\n", - "print(True) if (spillage - spillage2) < 0.0001 else print(False)\n" + "print(True) if (spillage - spillage2) < 0.0001 else print(False)" ] }, { "cell_type": "code", - "execution_count": 3, - "id": "933f4ff9", + "execution_count": null, + "id": "502eec5c", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Close toolkit for the input file \"net1_overflow\". EPANET Toolkit is unloaded.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ "# Unload library.\n", "d.unload()" @@ -155,27 +232,10 @@ } ], "metadata": { - "kernelspec": { - "display_name": "Python 3.10.6 64-bit (windows store)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.6" - }, - "vscode": { - "interpreter": { - "hash": "0df096debc758afc4e07b4a6d7176310e13b87e5b446a84739768769d4d90649" - } + "jupytext": { + "cell_metadata_filter": "-all", + "main_language": "python", + "notebook_metadata_filter": "-all" } }, "nbformat": 4, diff --git a/examples/notebooks/EX1_Plot_network_topology.ipynb b/examples/notebooks/EX1_Plot_network_topology.ipynb index 11ec0f8..1c531da 100644 --- a/examples/notebooks/EX1_Plot_network_topology.ipynb +++ b/examples/notebooks/EX1_Plot_network_topology.ipynb @@ -1,74 +1,64 @@ { "cells": [ { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": null, + "id": "52cb132c", "metadata": {}, + "outputs": [], "source": [ - "### Plots the network topology.\n", - "This example contains:\n", - "* Load a network.\n", - "* Plot network topology.\n", - "* Plot node IDs.\n", - "* Plot links IDs.\n", - "* Plot node indices.\n", - "* Plot link indices.\n", - "* Plot specific nodes ID\n", - "* Plot specific nodes index\n", - "* Plot specific links ID\n", - "* Plot specific links index\n", - "* Highlight specific links.\n", - "* Highlight specific nodes.\n", - "* Plot only links.\n", - "* Plot only nodes.\n", - "* Hide legend.\n", - "* Unload library.\n", - " " + "\"\"\" Plots the network topology.\n", + "\n", + " This example contains:\n", + " Load a network.\n", + " Plot network topology.\n", + " Plot node IDs.\n", + " Plot links IDs.\n", + " Plot node indices.\n", + " Plot link indices.\n", + " Plot specific nodes ID\n", + " Plot specific nodes index\n", + " Plot specific links ID\n", + " Plot specific links index\n", + " Highlight specific links.\n", + " Highlight specific nodes.\n", + " Plot only links.\n", + " Plot only nodes.\n", + " Hide legend.\n", + " Unload library.\n", + " \n", + "\"\"\"\n", + "from epyt import epanet" ] }, { "cell_type": "code", - "execution_count": 51, + "execution_count": null, + "id": "63755708", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "EPANET version 20200 loaded (EPyT version 1.0.5).\n", - "Input File Net1.inp loaded successfully.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ - "from epyt import epanet\n", "# Load a network\n", "d = epanet('Net1.inp')" ] }, { "cell_type": "code", - "execution_count": 52, + "execution_count": null, + "id": "8c9a0d09", + "metadata": {}, + "outputs": [], + "source": [ + "# Close any open figures\n", + "d.plot_close()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8c617c8e", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "execution_count": 52, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# Plot network topology\n", "d.plot()" @@ -76,27 +66,10 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": null, + "id": "131144ac", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "execution_count": 53, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# Plot nodes IDs\n", "d.plot(nodesID=True)" @@ -104,27 +77,10 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": null, + "id": "e2d0e4c9", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "execution_count": 54, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# Plot links IDs\n", "d.plot(linksID=True)" @@ -132,27 +88,10 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": null, + "id": "115ac2a9", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "execution_count": 55, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# Plot node indices\n", "d.plot(nodesindex=True)" @@ -160,27 +99,10 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": null, + "id": "7de87255", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "execution_count": 56, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# Plot link indices\n", "d.plot(linksindex=True)" @@ -188,27 +110,10 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": null, + "id": "0cfae55b", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "execution_count": 57, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# Plot specific nodes ID\n", "d.plot(nodesID=['10', '11', '9'])" @@ -216,27 +121,10 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": null, + "id": "92c6e96d", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "execution_count": 58, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# Plot specific nodes index\n", "d.plot(nodesindex=[1, 2, 10])" @@ -244,27 +132,10 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": null, + "id": "b3a67dba", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "execution_count": 59, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# Plot specific links ID\n", "d.plot(linksID=['111', '122', '9'])" @@ -272,27 +143,10 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": null, + "id": "bfb02ae6", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "execution_count": 60, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# Plot specific links index\n", "d.plot(linksindex=[1, 2, 10])" @@ -300,27 +154,10 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": null, + "id": "1a76e76f", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": "
    ", - "image/png": "iVBORw0KGgoAAAANSUhEUgAAA6YAAAJ6CAYAAAA7CV8LAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAC4jAAAuIwF4pT92AAA6RElEQVR4nO3deZzd86H/8ffJjggakiCpRNRWDbG0XEGCtIoQS1NrBaHXVT/U2uZejfaqK21RpbcltWtytWpro7eISMRaGvsaif0WoSRCtjm/PyJTYyaR/TOTeT495sF8vt/zPZ8zzuObeeW7nEq1Wq0GAAAACmlRegIAAAA0b8IUAACAooQpAAAARQlTAAAAihKmAAAAFCVMAQAAKEqYAgAAUJQwBQAAoChhCgAAQFHCFAAAgKKEKQAAAEUJUwAAAIoSpgAAABQlTAEAAChKmAIAAFCUMAUAAKAoYQoAAEBRwhQAAICihCkAAABFCVMAAACKEqYAAAAUJUwBAAAoSpgCAABQlDAFAACgKGEKAABAUcIUAACAooQpAAAARQlTAAAAihKmAAAAFCVMAQAAKEqYAgAAUJQwBQAAoChhCgAAQFHCFAAAgKKEKQAAAEUJUwAAAIoSpgAAABQlTAEAAChKmAIAAFCUMAUAAKAoYQoAAEBRwhQAAICihCkAAABFCVMAAACKEqYAAAAUJUwBAAAoqlXpCQAArAzeTrJvkurH31eS3JKkY7EZATQdwhQAYBm4Osm9DYydXGAuAE1NpVqtVj97NQAAFqSaZLMkz35qfJMkT2fe0VMAFswRUwCAxVTNvFN353sw9aM0H4+NTvLlT4ytHaEK8GmOmAIALKZHkmyzhI99OMnWy3AuACsDd+UFAFhM1y/FY3+3zGYBsPJwxBQAYDFUk2yU5MUlfHzPJM/H6bwAn+SIKQDAYnglyZSlePzkj7cBwD8JUwCAxfD5JGOyZHeQbJ3kro+3AcA/CVMAgMW0S5LXkuy2GI/ZLcmrSXZeLjMCaNqEKQDAEuiUZJ/FWH/fjx8DQH3CFABgCT28nNYFaG6EKQDAEhq3nNYFaG6EKQDAEqhZwPi6SVb9YGa98epCHgPQ3AlTAIAl0CLJY0lOzD8/k3SnJBOT7Pe7h7PTJ9Y78eN1/eIF0LAludM5AABJVk9yYZJDk0xI8v8yLz5X+XB2xia5KMmOSbYrND+ApkKYAgAspe1SPz5bJDlpxU8FoElyRgkAAABFCVMAAACKEqYAAAAUJUwBAAAoSpgCAABQlDAFAACgKGEKAABAUcIUAACAooQpAAAARQlTAAAAihKmAAAAFCVMAQAAKEqYAgAAUJQwBQAAoChhCgAAQFHCFAAAgKKEKQAAAEUJUwAAAIoSpgAAABQlTAEAAChKmAIAAFCUMAUAAKAoYQoAAEBRwhQAAICihCkAAABFCVMAAACKEqYAAAAUJUwBAAAoSpgCAABQlDAFAACgKGEKAABAUcIUAACAooQpAAAARQlTAAAAihKmAAAAFCVMAQAAKEqYAgAAUJQwBQAAoChhCgAAQFHCFAAAgKKEKQAAAEUJUwAAAIoSpgAAABQlTAEAAChKmAIAAFCUMAUAAKAoYQoAAEBRwhQAAICihCkAAABFCVMAAACKEqYAAAAUJUwBAAAoSpgCAABQlDAFAACgKGEKAABAUcIUAACAooQpAAAARQlTAAAAihKmAAAAFCVMAQAAKEqYAgAAUJQwBQAAoChhCgAAQFHCFAAAgKKEKQAAAEUJUwAAAIoSpgAAABQlTAEAAChKmAIAAFCUMAUAAKAoYQoAAEBRwhQAAICihCkAAABFCVMAAACKEqYAAAAUJUwBAAAoSpgCAABQlDAFAACgKGEKAABAUcIUAACAooQpAAAARQlTAAAAihKmAAAAFCVMAQAAKEqYAgAAUJQwBQAAoChhCgAAQFHCFAAAgKKEKQAAAEUJUwAAAIoSpgAAABQlTAEAAChKmAIAAFCUMAUAAKAoYQoAAEBRwhQAAICihCkAAABFCVMAAACKEqYAAAAUJUwBAAAoSpgCAABQlDAFAACgKGEKAABAUcIUAACAooQpAAAARQlTAAAAihKmAAAAFCVMAQAAKEqYAgAAUJQwBQAAoChhCgAAQFHCFAAAgKKEKQAAAEUJUwAAAIoSpgAAABQlTAEAACiqVekJlFaTmkzN1EVat2M6poWWBwAAWKaafZhOzdR0SqdFWvfNvJl1ss5ynhEAAEDz0uzDlE94KcnkRVivR5INlvNcGpnZs5PWrUvPgsbEewJYmJq5ldJTABoxv0fUJ0z5p2lJ+n3GOpUkj62AuTQGNTUZ8fMPcs6Fq2bKyy3T/fNzM/SkGRly2EelZ0ZBI65tV/c9MbSSIcc6xR+YZ8SI5JxzkilTds6YnyVDhyZDhpSeFdBY/HMfkXTvbh/xSZVqtVotPYmS3spbTuX9pEFJfvcZy/9nBc2lsBEXTMsx31293vhlGZIh+U2BGVHaiBydYzKi3vhll/lDBZj3C+cxx9Qft48AEvuIzyJMhWldTyT50gKWzT9ausWKm05JPTaYmykvt6w/nhfzYnoWmBGl9ciLmZIe9cd7JC++WGBCQKPSo8e8oyANjdtHAPYRC+dU3sVw8hX3ZpWP1iw9jeXu21tvlm0fqR/rD/V+M5eOfzoZX2BSK1jN3EqmvLxzg8smZ8PMTqu0zpwVPCtKmp1WDUZpkkyenBx98bi0aNms/54PmrWauZVMmbKAPzfsI6DZ+6x9hGtOHTF1xLQhCzpq+niazdHSxBFT6nPEFFgYR0OAhbGPWDhHTKlviyTfSN1rTQelWUVpkgwdWskx364//v3z10kOe3PFT4jihl7bLsd8t/7497+/4ucCND5DhzZ8/Zh9BJDYR3wWR0wdMW3YJ4+aNrNrSz9pxIjkxz+ed4pFjx7zdhwuTm/evCeAhbGPABbGPmLBhKkwXbD5d+htRnfiXRDn/fNpR188Lr/5TsPXigDYRwALYx9RX7M/lbdjOubNLNppmR3TcTnPppE5K8kNSf6j9ETKE6V8mpuYAAtjHwEsjH1Efc0+TFukRfM6Cro4tkjy2zTLU3gBAIAVp0XpCdDIfbP0BAAAgJWdMAUAAKAoYQoAAEBRwhQAAICihCkAAABFCVMAAACKEqYAAAAUJUwBAAAoSpgCAABQlDAFAACgKGEKAABAUcIUAACAooQpAAAARQlTAAAAihKmAAAAFCVMAQAAKEqYAgAAUJQwBQAAoChhCgAAQFHCFAAAgKKEKQAAAEUJUwAAAIoSpgAAABQlTAEAAChKmAIAAFCUMAUAAKAoYQoAAEBRwhQAAICihCkAAABFCVMAAACKEqYAAAAUJUwBAAAoSpgCAABQlDAFAACgKGEKAABAUcIUAACAooQpAAAARQlTAAAAihKmAAAAFCVMAQAAKEqYAgAAUJQwBQAAoChhCgAAQFHCFAAAgKKEKQAAAEUJUwAAAIoSpgAAABQlTAEAAChKmAIAAFCUMAUAAKAoYQoAAEBRwhQAAICihCkAAABFCVMAAACKEqYAAAAUJUwBAAAoSpgCAABQlDAFAACgKGEKAABAUcIUAACAooQpAAAARQlTAAAAihKmAAAAFCVMAQAAKEqYAgAAUJQwBQAAoChhCgAAQFHCFAAAgKKEKQAAAEUJUwAAAIoSpgAAABQlTAEAAChKmAIAAFCUMAUAAKAoYQoAAEBRwhQAAICihCkAAABFCVMAAACKEqYAAAAUJUwBAAAoSpgCAABQlDAFAACgKGEKAABAUcIUAACAooQpAAAARQlTAAAAihKmAAAAFCVMAQAAKEqYAgAAUJQwBQAAoChhCgAAQFHCFAAAgKKEKQAAAEUJUwAAAIoSpgAAABQlTAEAAChKmAIAAFCUMAUAAKAoYQoAAEBRwhQAAICihCkAAABFCVMAAACKEqYAAAAUJUwBAAAoSpgCAABQlDAFAACgKGEKAABAUcIUAACAooQpAAAARQlTAAAAihKmAAAAFCVMAQAAKEqYAgAAUJQwBQAAoChhCgAAQFHCFAAAgKKEKQAAAEUJUwAAAIoSpgAAABQlTAEAAChKmAIAAFCUMAUAAKAoYQoAAEBRwhQAAICihCkAAABFCVMAAACKEqYAAAAUJUwBAAAoSpgCAABQlDAFAACgKGEKAABAUcIUAACAooQpAAAARQlTAAAAihKmAAAAFCVMAQAAKEqYAgAAUJQwBQAAoChhCgAAQFHCFAAAgKKEKQAAAEUJUwAAAIoSpgAAABQlTAEAAChKmAIAAFCUMAUAAKAoYQoAAEBRwhQAAICihCkAAABFCVMAAACKEqYAAAAUJUwBAAAoSpgCAABQlDAFAACgKGEKAABAUcIUAACAooQpAAAARQlTAAAAihKmAAAAFCVMAQAAKEqYAgAAUJQwBQAAoChhCgAAQFHCFAAAgKKEKQAAAEUJUwAAAIoSpgAAABQlTAEAAChKmAIAAFCUMAUAAKAoYQoAAEBRwhQAAICihCkAAABFCVMAAACKEqYAAAAUJUwBAAAoSpgCAABQlDAFAACgKGEKAABAUcIUAACAooQpAAAARQlTAAAAihKmAAAAFCVMAQAAKEqYAgAAUJQwBVgCNXMrpacANGL2EcDC2EfUJ0wBFsOIEUmPHsnlJ+ycHj3mfQ8wn30EsDD2EQtWqVar1dKTAGgKRoxIjjmm/vhllyVDhqz4+QCNi30EsDD2EQsnTAEWUY8eyZQpDY+/+OIKnw7QyNhHAAtjH7FwrUpPAKApmD274T9MkmTy5OToi8elRUt/zwfNVc3cSqZM2bnBZfYRwGftI2bPTlq3XsGTamQcMQVYRP6mE1gY+whgYewjFs7NjwAW0dChDY9///srdh5A42QfASyMfcTCCVOARTRkyLwbFPToMe/7Hj3csAD4J/sIYGHsIxbOqbwAS+Doi8flN99p+FoRAPsIYGFcU1qfI6YAS8BNTICFsY8AFkaU1idMAQAAKEqYAgAAUJQwBQAAoChhCgAAQFHCFAAAgKKEKQAAAEUJUwAAAIoSpgAAABQlTAEAAChKmAIAAFCUMAUAAKAoYQoAAEBRwhQAAICihCkAAABFCVMAAACKEqYAAAAUJUwBAAAoSpgCAABQlDAFAACgKGEKAABAUcIUAACAooQpAAAARQlTAAAAihKmAAAAFCVMAQAAKEqYAgAAUJQwBQAAoChhCgAAQFHCFAAAgKKEKQAAAEUJUwAAAIoSpgAAABQlTAEAAChKmAIAAFCUMAUAAKAoYQoAAEBRwhQAAICihCkAAABFCVMAAACKEqYAAAAUJUwBAAAoSpgCAABQlDAFAACgKGEKAABAUcIUAACAooQpAAAARbUqPYHFNXfu3NTU1KRarZaeCiyRSqWSli1bpkULfy8EAABJEwnTOXPm5K233soHH3yQ2bNnl54OLBOrrrpq1l577ay22mqlpwIAAEU1+jCdOXNmXn755bRs2TKf+9znssoqq6Rly5alpwVLZfbs2XnvvffyyiuvpFu3buIUAIBmrdGH6dtvv502bdqkW7duTn1kpdGmTZusuuqqSea9x4UpAADNWaMuvZqamrz//vv53Oc+J0pZ6VQqlayxxhqZMWNGampqSk8HAACKadS1N3fu3CRJ27ZtC88Elo/WrVsn+ed7HQAAmqNGHabuvEtz4b0OAEBz1qjDFAAAgJWfMAUAAKAoYQoAAEBRwhQAAICihGkTVKlU6ny1aNEia665ZnbaaaeMGDGi3o10KpVKunfvXmayAAAAn6FV6Qmw5I444ogk8z5qZNKkSZkwYULuueee3HnnnRk5cmTh2QEAACwaYdqEXXnllXW+v/3227Pnnntm1KhROfTQQ7P33nsnSZ5++unaz8sEAABobJzKuxLp379/Dj/88CTJTTfdVDu+6aabpmfPnoVmBQAAsHDCdCXTu3fvJMkrr7xSO9bQNaZjx45NpVLJ4MGD88Ybb2Tw4MHp3LlzVllllWy99da5+uqrF/gc77zzTr73ve9l8803zyqrrJI11lgju+66a/74xz82uP4TTzyRww47LBtuuGHatWuXddZZJ1tttVVOOumkvPHGG0v/ogEAgCbNqbwrmWnTpiVJ2rZtu0jrv/POO9l+++0zc+bM9O3bN++++27uuuuuHHHEEXnxxRczbNiwOus/99xz2X333fPKK6+ke/fu+drXvpZp06bl/vvvz4ABA/KTn/wkp556au36Dz/8cPr06ZOPPvoovXr1yr777psZM2bkxRdfzM9//vMMHDgw66677jJ7/QAAQNMjTFci1Wq19qhlr169Fukxt956a/r3758bb7wxq622WpLkoYceyq677pof/ehH2WeffbL11lsnmXeTpQMPPDCvvPJKhg8fnlNOOSUtWsw76P7CCy/kq1/9as4888zsscce2WKLLZIkF110UT766KP89Kc/zSmnnFLnuZ955pmsscYay+S1AwAATddKEaYnX3Fvpn80u/Q0Fqp9u9a54Mh/WS7bnjt3bl588cX8+Mc/zn333Ze2bdvmyCOPXKTHtmjRIr/4xS9qozRJtttuuxx//PE577zz8stf/jIjRoxIMi9iH3/88RxwwAE57bTT6mxno402ys9+9rPsv//+ueyyy/Lzn/88SfLWW28lSXbfffd6z73pppsu0esFAABWLitFmC6v4GvsKpVKvbHVV189V1111SLf7GirrbbKJptsUm/84IMPznnnnZfx48fXjv3lL39Jkuy///4NbmunnXZKkjz44IO1Y9tss01uu+22HH/88fnP//zP9OnTJ61arRRvOwAAYBlRCE3Y/M8xbdGiRTp06JAvfelL2X///bPWWmst8jY22GCDBsfn3yzp9ddfrx2bMmVKkuTQQw/NoYceusBtvv3227X/fdppp+Wee+7J2LFj069fv7Rv3z477LBD9tprrwwePNipvAAAgDBtyj79OabLW01NTZJkjz32SOfOnRe43tprr1373x06dMiYMWMyYcKE3HrrrRk7dmzGjBmT22+/Peeee27Gjx+fL3zhC8t97gAAQOMlTJu5l156aaHj6623Xu1Y165dkyRDhgzJAQccsMjPUalU0qdPn/Tp0ydJ8uabb+akk07KyJEjM3To0Fx//fVLOn0AAGAl4HNMm7mJEyfm+eefrzc+atSoJKmNySTp379/kuTGG29cqufs1KlT7cfQPPHEE0u1LQAAoOkTps1cTU1NTjjhhMyYMaN27OGHH87FF1+cSqWS4447rnb8gAMOyOabb57rrrsuP/rRjzJz5sw626pWq5kwYUImTJhQO/arX/0qkydPrve8o0ePTpJ069ZtWb8kAACgiXEqbzO3995759FHH03Pnj2z884757333suYMWMye/bs/Pu//3u23Xbb2nVbtWqVm266KV/72tdy1lln5eKLL06vXr3SqVOnvP3225k4cWLefPPNXHDBBdlxxx2TzAvT4447Lptvvnk222yztGrVKs8880weffTRtGvXLmeddVaplw4AADQSwrSZ69ixY+6///6cccYZ+d///d+8//772XzzzXPSSSdl8ODB9db/whe+kL/97W+5+OKL84c//CH3339/5syZky5duqR3797ZZ599MmjQoNr1f/SjH+Wmm27KAw88kDvvvDOzZs1K165dM2TIkJx66qkNflQNAADQvAjTJqharS7T9ddbb71cc801i7y9NdZYI0OHDs3QoUM/c90BAwZkwIABi7xtAACg+XGNKQAAAEUJUwAAAIoSpgAAABTlGtNmqm/fvot9rSoAAMDy4IgpAAAARQlTAAAAihKmAAAAFCVMAQAAKEqYAgAAUJQwBQAAoChhCgAAQFHCFAAAgKKEKQAAAEUJ0yaoUqnU+WrRokXWXHPN7LTTThkxYkSq1WrpKQIAACyyVqUnwJI74ogjkiRz587NpEmTMmHChNxzzz258847M3LkyMKzAwAAWDTCtAm78sor63x/++23Z88998yoUaNy6KGHZu+99y4zMQAAgMXgVN6VSP/+/XP44YcnSW666aaykwEAAFhEwjRJXkoydhG+XlrB81oCvXv3TpK88sorSZIpU6akUqmkb9++Da4/bNiwVCqVekdfu3fvnkqlkiS55JJLssUWW2SVVVZJjx49Mnz48NrrWB955JEMGDAgn/vc59K+ffvsu+++eeml+j+owYMHp1KpZOzYsbntttvSp0+ftG/fPmuttVb233//PPPMMw3Ob/To0enfv3/WX3/9tG3bNuutt1769OmTs88+e0l+PAAAQCMkTJNkWpJ+n/G168frNXLTps2bZNu2bZfJ9k4++eScdtpp2WCDDbL77rtn6tSpOeOMMzJs2LBMmDAhO+20U15//fX0798/6667bm655Zbstttu+fDDDxvc3u9+97vstddemTVrVgYMGJD11lsvN954Y7bffvs8+uijdda95JJLstdee+Wuu+7KRhttlAMOOCBbbLFFXnrppQwbNmyZvD4AAKA815gmyRZJvpHkdwtZ5xsfr9eIVavV/PGPf0yS9OrVa5ls8/rrr8/jjz+enj17JkmeeeaZbLXVVvnpT3+aq6++Oj/72c/yr//6r0mSWbNm5etf/3rGjBmTUaNG5cgjj6y3vV/+8pe59NJLc8wxx9TO+Xvf+17OO++8DB48OH/7299q1x0+fHgqlUruv//+bLvttnVe5913371MXh8AAFCeI6bznbWQZZUk/7GiJrL45s6dm+effz5HHXVU7rvvvrRt27bBKFwSP/zhD2ujNEk23XTT7LnnnpkxY0a6du1aG6VJ0qZNm5x44olJssBw/Jd/+ZfaKE3mffTNj370o3Tt2jUTJ07MPffcU7vsrbfeypprrlknSuc/ZkGnJgMAAE2PMJ1v/lHThjTSo6XzP8e0VatW2XjjjXPllVdm9dVXz8iRI+vE5NL46le/Wm9sww03/Mxlb7zxRoPbO+igg+qNtW7dOgceeGCSZPz48bXj22yzTd59990cffTRefLJJxd/8gAAQJPgVN5POisNn87bSI+Wzv8c0xYtWqRDhw750pe+lP333z9rrbXWMnuO9ddfv95Y+/btP3PZzJkzG9zeBhts0OB49+7dkySvv/567dgll1ySgQMH5vLLL8/ll1+ezp07Z5dddsn++++fAw88MC1btlys1wIAADROwvSTGrrWdFAa5dHSpP7nmC6JmpqahS5v0WLBB9UXtmxZ6NWrV5566qn8+c9/zujRozN27Nhcf/31uf7667PDDjtk7NixadOmzXKdAwAAsPw5lffTPnmtaSO/tnRRzA+36dOnN7h8/sfKrCgNfZTMJ8fXW2+9OuPt2rXLwIEDc+mll+a5557LE088kV69euW+++7LiBEjlvt8AQCA5U+YftonrzVtpNeWLo611147rVq1yuTJkzNnzpw6y2bPnr3C7257/fXX1xubM2dObrjhhiRJnz59Fvr4L37xizn++OOTJE888cSynyAAALDCCdOGnJV5P5kmfrQ0mXfEdIcddsg777yTSy65pHZ8zpw5OeWUUzJ58uQVOp977rknl19+eZ2xH/zgB3n55ZfTq1ev7LTTTkmSGTNm5KKLLso//vGPOuvW1NTkz3/+c5KkW7duK2TOAADA8uUa04ZskeS3afJHS+c766yz8rWvfS0nnXRS/ud//iddunTJww8/nBkzZuSII47IVVddtcLmctxxx2XIkCH59a9/nZ49e+axxx7Lk08+mQ4dOtS5ZnbWrFk58cQTc+qpp2abbbZJ9+7dM2vWrDz00EN55ZVX0r179xx77LErbN4AAMDy44jpgnyz9ASWnd133z233HJLtttuuzzyyCO5++67s/322+ehhx6qvRvuijJo0KDccsstadmyZW6++ea8+uqr2XfffXPfffeld+/eteu1b98+l1xySQYMGJC33nort9xyS8aMGZO11lorZ599dh5++OF07Nhxhc4dAABYPirVarVaehILMmvWrEyaNCk9e/Z099UmbvDgwbnqqqty1113pW/fvqWn02h4jzddx/z33bnsuF1KTwNopOwjABaPI6YAAAAUJUwBAAAoSpgCAABQlDBlhbjyyitTrVZdXwoAANQjTAEAAChKmAIAAFCUMAUAAKAoYQoAAEBRwhQAAICihCkAAABFCVMAAACKEqYAAAAUJUwBAAAoSph+wttJdkzyLx9/7ZhkatEZ1VWpVBbrq3v37st9Tt27d0+lUlnuzwMAAKy8WpWeQGNydZJ7Gxg7ucBcGnLEEUfUG7vnnnsyadKkbLnlltlqq63qLFt77bVX0MwAAACWnDD9WDXJpQ2M/zrJSUkawzHBK6+8st7Y4MGDM2nSpAwcODDDhg1b4XMCAABYWs02TKuZd+rufA8mebaB9Z5NMjrJlz8xtnYaR6gCAACsDJrtNaZ/S9LpE197L2TdvT+17t+W++yW3gsvvJBhw4Zlhx12SJcuXdKmTZt07do13/rWt/Lcc881+Jj516XOnTs35513XjbeeOO0bds23bp1yxlnnJGZM2cu8vO/+uqr2XzzzVOpVDJ8+PDa8bfeeitnnnlmNt9887Rv3z5rrLFGNt5443zrW9/Kgw8+uNSvGwAAaHqa7RHT65fisb9LsvWymshyMmLEiAwfPjxbbLFFtttuu7Rt2zZPPfVUrrnmmtx8880ZP358evXq1eBjDznkkIwePTp9+/bNJptskvHjx2f48OF57bXXcu21137mcz/33HP56le/mldffTWXXXZZhgwZkiSZNm1avvKVr2Ty5Mnp1q1b+vfvn1atWuXll1/OqFGjsuGGG+bLX/7yZ2wdAABY2TTLMK1mXlwuqd8l+XEa9+m8AwcOzLe//e306NGjzvgVV1yRo446KieddFLGjBlT73EvvfRSVl111Tz//PPp0qVLkmTy5MnZeuutc9111+Xss89Oz549F/i8jzzySPbYY4+8//77uf7667P//vvXLvv973+fyZMnZ5999smNN96YFi3+ecD+rbfeyt///velfdkAAEAT1CxP5X0lyZSlePzkj7fRmG2//fb1ojRJjjzyyOy4444ZO3Zs3nvvvQYfe9FFF9VGaZL06NEjhx12WJJk/PjxC3zOu+++O/369cuHH36YP/3pT3WiNJkXn0my66671onSJFlnnXWyxRZbLNqLAwAAVirN8ojp55OMSbJ7kjmL+djWSe74eBuN3fTp03Prrbdm4sSJeeeddzJ79uwkyRtvvJFqtZpJkyZl663rnpTcunXr9OvXr962Nt5449rHNuSWW27JN7/5zay22moZPXp0g6fkbrPNNkmSn/zkJ+ncuXP22muvrL766kv1GgEAgKavWYZpkuyS5LUkhyS5cxEfs1uS32beDZAauzFjxuSggw6qPUrZkGnTptUb69KlS1q2bFlvfH5ALugGSAcccEDmzJmTsWPHLvA60d122y0nn3xyLrzwwhx88MFp1apVtt566/Tv3z9HHXVUNtxww0V5aQAAwEqmWZ7KO1+nJPssxvr7pmlE6fTp0zNo0KC8/fbbOeuss/LUU0/lgw8+SE1NTarVag4++OAkSbVarffYT59iu6jmb/PUU0/N9OnTF7je+eefn6effjrnnXde+vXrlyeeeCLnnHNONt1009xwww1L9NwAAEDT1qzDNEkeXk7rljR+/PhMnTo1BxxwQM4+++xsttlmWXXVVVOpzLtd04svvrjMn/OKK67IIYccknvuuSd77bVXPvjggwWuu8kmm+T000/PX/7yl0ydOjU/+clPMnv27Bx33HHLfF4AAEDj1+zDdNxyWrekd999N0nStWvXesteeOGFPPLII8v8OVu2bJmrr746Bx10UMaNG5e99947M2bM+MzHtWvXLqeeemrWXXfdvPXWW3nzzTeX+dwAAIDGrVmHac0Cxtf9+OvTqgt5TGMy/0ZFf/jDH+pcY/qPf/wjRx99dO1NkJa1li1b5tprr82gQYMyduzYDBgwIB9++GHt8ptuuin3339/vcc9/PDD+fvf/5727dtnzTXXXC5zAwAAGq9mHaYtkjyW5MT88zNJd0oy8eOvnT6x3okfr9sUfmDbbrtt+vfvn5dffjkbb7xx9ttvv+y3337p0aNHXn/99ey7777L7blbtmyZ6667LgcccEDGjBmTffbZJx999FGSZOzYsdlhhx3StWvXDBgwIIceemj69euXr3zlK6mpqcnZZ5+dNm3aLLe5AQAAjVNT6KzlavUkFyZ5IMkFScZm3g2OOn383xckuf/jdZrSB5vcfPPNGTp0aNZZZ53cdtttefjhh3PQQQfl/vvvX+5HJVu1apVRo0Zlv/32yx133JF99903H330UQYPHpxTTjkl6623Xh588MHccMMNmTx5cvbcc8/ccccd+e53v7tc5wUAADROlWpDt2ZtJGbNmpVJkyalZ8+ejqSxUvIeb7qO+e+7c9lxu5SeBtBI2UcALJ5mf8QUAACAsoQpAAAARQlTAAAAihKmAAAAFCVMAQAAKEqYAgAAUJQwBQAAoChhCgAAQFHCFAAAgKKEKQAAAEUJUwAAAIoSpgAAABQlTAEAAChKmAIAAFCUMG2CKpVKna8WLVpkjTXWyPbbb58LL7wws2fPLj3FJmPKlCmpVCrp27dv6akAAECz1ar0BFhyRxxxRJJk7ty5mTJlSu6999488MAD+eMf/5g///nPadXK/14AAKDxa/blUpOaTM3URVq3YzqmRSM6yHzllVfW+f6BBx5I3759c+edd2bUqFE57LDDykysCVl//fXz9NNPZ9VVVy09FQAAaLYaT2UVMjVT02kR/1nUgC3lK1/5SgYPHpwk+d///d+yk2kiWrdunU033TSf//znS08FAACarWYfpiubL37xi0mSN998s96yarWakSNHZtddd81aa62Vdu3aZbPNNsuwYcMyY8aMeutPnz495557brbccsusscYaad++fXr27JlvfOMbDYbvjBkzcu6556Z3795p37592rdvn+233z5XXXVVg3OtVCrp3r17Zs2alR/+8IfZdNNN07Zt2wwcODDnn39+KpVKzjjjjAW+1gMOOCCVSiW33HJLnfGnnnoqhx56aNZdd920adMm66+/fr71rW/l2WefrbeNBV1jeuWVV6ZSqWTYsGF57rnnctBBB6Vz585p0aJFbrrppiX6+QAAAA1r9qfyrmymTZuWJOnUqVOd8Zqamhx22GEZOXJk2rdvn2233TZrrbVW/vrXv+bss8/ObbfdlrFjx2aVVVZJMu+61d133z0PPPBA1l577fTt2zft2rXLq6++mtGjR2e11VbL1772tdrtv/nmm+nfv38ee+yxdOnSJbvsskuq1WruvffeDB48OH/961/zi1/8ot58a2pqMnDgwIwbNy677LJLevXqlY4dO+aggw7KaaedllGjRuW//uu/UqlU6jzuvffey5/+9Kd07NgxX//612vH77zzzgwYMCAffvhhevfunb59++aZZ57JNddckxtvvDGjR4/OTjvttMg/z2effTbbbbddOnbsmH79+uXdd99N69atF/vnAwAALES1EZs5c2b1qaeeqs6cOXO5Pceb1TerWcR/3qy+udzmsTiSVBf0v27nnXeuJqlee+21dcaHDx9eTVLt27dv9Y033qgdnzlzZvXoo4+uJqmeccYZteNjxoypJqlut9121Q8//LDOtt57773qX//61zpje+65ZzVJ9cQTT6x+9NFHteP/93//V912222rSaq33XZbg69jo402qr766qv1Xstuu+1WTVIdN25cvWUjRoyoJqn+67/+a+3Y9OnTq507d64mqV588cV11j///POrSapdu3at83omT55cTVLdZZdd6qx/xRVX1M7vO9/5TnXOnDl1li/uz2dBVsR7nOVjyC/Hlp4C0IjZRwAsHqfyrgRqamoyadKkHHfccRk3blz23XfffPOb36xdPmfOnAwfPjyrrbZaRo0alS5dutQua9OmTX7xi1+kS5cuufTSS1NTU5Mkeeutt5IkO+64Y9q1a1fn+Tp06JBtttmm9vuJEydm9OjR2W677XL++eenbdu2tcs6d+6cSy+9NEny3//93w3O/9xzz836669fb3z+zZuuu+66esvmjx166KG1Y9dff33+/ve/Z4cddsjxxx9fZ/2TTz4522yzTV599dXccMMNDc6jIeuss07OO++8tGzZss744vx8AACAhROmTdj8zzFt2bJlNtpoo/zqV7/KMccckxtvvLHOR8U88sgjefvtt/Mv//Iv6dy5c73trLLKKtlmm23y7rvv5vnnn0+SbLXVVmnRokWuuOKKXHbZZZk6dcE3fvrLX/6SJBk4cGBatKj/lpp/zemDDz7Y4GsYMGBAg9vdf//9065du/z+97+v89msr732Wu6+++507949O+64Y+34+PHjk9SN1U+aH7rz11sUu+++e4N37F2cnw8AALBwwrQJO+KII3LEEUfkm9/8ZjbddNMkyWWXXVbvZkNTpkxJktx+++21Mfvprz/96U9JkrfffjtJsvHGG2f48OGZMWNGjj322HTq1Clbbrllvvvd7+axxx5rcPtDhw5d4PanT59eu+1P6tSpU50jrJ/UoUOHDBgwIFOnTs2f//zn2vGRI0empqYmhxxySJ1rT19//fUkSffu3Rvc3vzx1157rcHlDVnQ3XoX5+cDAAAsnJsfNWGf/hzTn/zkJzn99NNz/PHHp1+/ftlggw2SpPb03I022qjOEcaGdOzYsfa/TznllAwaNCg33XRTbr/99owfPz4XXHBBLrzwwlxwwQU58cQT62y/T58+6dmz52K9hk+fBvtphx12WH73u9/lt7/9be2R1YZO410Un76B0tLOb1F/PgAAwMIJ05XIaaedljvuuCN/+ctfcvbZZ+fyyy9PknTt2jVJsummm9aL2c/SrVu3nHDCCTnhhBMyZ86cjBo1KkceeWROP/30fOtb38paa61Vu/2BAwfmlFNOWaav6etf/3o+97nP5ZZbbsn06dPz8ssvZ+LEiendu3c233zzOuuut956SZKXXnqpwW3NP7Lb0PWsS2pRfj4AAMDCOZV3JfNf//VfSZJrrrmmNtC22267rLHGGrn77rvzzjvvLPG2W7VqlcMOOyzbbbddZs2aVXs9av/+/ZMkN95441LOvr7WrVvnG9/4RmbMmJGbbrppoUdL538MzMiRIxvc1rXXXltnvWVtQT8fAABg4Zp9mHZMx7y5iP90TMfP3mBhvXv3zsCBA2vvxJskbdu2zemnn55p06Zl//33z4svvljvca+99lquueaa2u/vuuuu3HHHHbWn6c43efLkPP3006lUKrVHSr/yla+kf//+mTBhQo4//vi8//779bb/6KOP1rlOdHF88u68I0eOTIsWLXLwwQfXW2/QoEHp3Llz7rnnnto7Ac930UUX5a9//WvWX3/9HHDAAUs0j09anJ8PAACwcM3+VN4WaZF1sk7paSxTw4YNy80335zLL788//Ef/5EuXbrkzDPPzDPPPJNrrrkmm222WXr37p0ePXpk1qxZefbZZ/PUU0+lV69eOfzww5PMC8mTTz4566yzTrbZZpt07Ngxb731Vu6+++7MnDkzJ5xwQu2ps8m8o5F77LFHfvnLX+a3v/1tttpqq6y33np577338thjj+WVV17JiSeemD322GOxX8+OO+6YDTbYoDZsd9tttzrPPd9qq62W6667LgMGDMi3v/3tXHrppdl4443zzDPP5G9/+1vat2+fkSNHfuZ1rYticX8+AADAgjX7MF0Zbbnlltlvv/3yhz/8Ieeff36GDx+eFi1a5Oqrr86BBx6YSy+9NA899FAeeeSRrLXWWunWrVtOO+20Op99uvfee2fq1Km566678uijj2bq1KlZZ5110qdPn/zbv/1b9ttvvzrP2alTp9x777257LLLMmrUqPztb3/Lvffem86dO2fDDTfM//t//y8HHXTQEr2eSqWSQw45JOeee26Shd/0aLfddstDDz2Uc845J2PGjMljjz2WtddeO4cddlj+/d//PZtssskSzeHTFvfnAwAALFilWq1WS09iQWbNmpVJkyalZ8+eadOmTenpwDLnPd50HfPfd+ey43YpPQ2gkbKPAFg8zf4aUwAAAMoSpgAAABQlTAEAAChKmAIAAFCUMAUAAKAoYQoAAEBRwhQAAICihCkAAABFCVMAAACKEqYAAAAUJUwBAAAoSpgCAABQlDAFAACgKGHaRFUqlVQqldLTWGpTpkxJpVJJ3759S08FAAAoRJiyXF155ZWpVCoZNmxY6akAAACNVKvSE6B5W3/99fP0009n1VVXLT0VAACgEGFKUa1bt86mm25aehoAAEBBTuVdgNmzS89g8YwdOzaVSiWDBw9ucPngwYNTqVQyduzYOuOVSiXdu3fP3Llzc95552XjjTdO27Zt061bt5xxxhmZOXNmg9v74IMPct5552XbbbdNhw4dstpqq2XTTTfN8ccfn+eeey5J0rdv3xx55JFJkrPPPrv2uthKpZIrr7wyyWdfY3rNNdekT58+6dChQ1ZdddX06tUr5557bj766KOFvsZx48Zl1113zeqrr54OHTpkr732ylNPPVXvMdVqNdddd1369OmTzp07p127dunWrVt23333XHLJJQ3OCQAAWLYcMf2UESOSc85JpkxJundPhg5NhgwpPavl75BDDsno0aPTt2/fbLLJJhk/fnyGDx+e1157Lddee22ddd944430798/Tz75ZNZaa6307ds3bdu2zYsvvphf/epX+cIXvpCNN944e+yxR+bMmZMJEyZkyy23zFZbbVW7jY022ugz5/Ttb387l156adq1a5ddd901q666asaOHZvvf//7ufXWW3PHHXc0eArwrbfemp///OfZdttts+eee2bixIkZPXp0HnjggTzxxBPp0qVL7bqnn356fvrTn6Zt27bZeeeds/baa+f//u//8thjj+WFF17I8ccfv+Q/VAAAYJEI008YMSI55ph/fj9lyj+/X5nj9KWXXsqqq66a559/vjbaJk+enK233jrXXXddzj777PTs2bN2/cMPPzxPPvlkBg0alN/85jdp37597bIpU6bk/fffT5KceeaZ6dKlSyZMmJCBAwcu1g2Qbrjhhlx66aVZb731Mnbs2HzhC19Ikrz33nvZe++9c8899+Sss87KT3/603qPvfDCC3PDDTdk4MCBSZK5c+fmm9/8Zm644Yb88pe/zA9/+MMkyUcffZRf/OIXWX311fPoo4+mR48etduYM2dO7rvvvkWeLwAAsOScyvsJ55zT8PiPf7xi51HCRRddVOdIYo8ePXLYYYclScaPH187/uCDD+bOO+9Mp06dMmLEiDpRmiTdu3dPr169lsl8kuQHP/hBbZQmyRprrJFLLrkklUolv/71rxs8pffggw+ujdIkadmyZb73ve8lScaNG1c7/v7772fmzJnp2bNnnShNklatWmWnnXZa6tcBAAB8NmH6sdmz5x0hbcjkyU3vmtPF0bp16/Tr16/e+MYbb5xk3qm7891xxx1J5sXf6quvvlzmM3v27Nx///1JkkMPPbTe8l69eqVXr16ZPn16Jk6cWG/5V7/61XpjDb2WTp06pWvXrpk4cWLOPPPMvPjii8voFdAc1Mxt+p8jDCw/9hEAi0eYfqx163nXlDakR495y1dWXbp0ScuWLeuNzw/PT94A6ZVXXkmSOqf2LmtTp07NrFmzsvbaa2e11VZrcJ3uH//Peu211+ot69q1a72xhl5Lklx11VVZZ511ct5556Vnz57p3r17jjjiiNx2221L+SpYWY0YMW+fcPkJO6dHj3nfA8xnHwGwZITpJwwd2vD497+/YuexPNTU1CxwWYsWTe9tUKks+G+iF+f17LrrrnnhhRdy3XXX5fDDD09NTU2uvvrq7LnnnjnwwAOXxVRZicy/Dn3+2RXzr0P3iyeQ2EcALI2mVyTL0ZAhyWWXzfubzmTevy+7rGnc+KhNmzZJkunTpze4fP6RzqXVrVu3JMmkSZOWyfYa0rFjx7Rp0yZvv/12PvjggwbXmfLxn/rrr7/+Uj9fhw4dcsghh+Tqq6/Oyy+/nPvuuy9du3bNDTfckNGjRy/19ll5NOfr0IHPZh8BsOTclfdThgyZ9zV7dtM6fXfddddNktrPEP2kd955J4888sgyeZ7dd989Q4cOzciRI/Of//mf9W5+9Gnzg3nOnDmL/BytW7fO9ttvn3HjxmXUqFE5+uij6yx/4okn8uijj6Z9+/Z1PoJmWdl+++1z+OGH59xzz80TTzyRPffcc5k/B03PZ12HfvTF49KiZXWFzgloPGrmVjJlys4NLpt/r4qm9HsFwIomTBegqf3h0aNHj3z+85/P448/nptvvjn77rtvkuSDDz7IscceW/sRLkvry1/+cvr165e77rorxx57bC677LI614FOmTIl06ZNy5e+9KUkyXrrrZckefbZZxfreU444YSMGzcuw4YNS79+/bLhhhsmSaZNm5bvfOc7qVar+fa3v5127dot8Wt5+eWXM2bMmAwaNKjO56F+9NFHueuuu5L88wgxzL8OvaE47dEj+c13Gv6FFGg+xvxswfuIpvZ7BcCK5lTeJuzT11n+4Ac/SJIccMAB2XXXXbPPPvukZ8+eeeyxx2pDdVm45pprsskmm2TkyJH5/Oc/n3333TeDBg3KNttsk549e+bOO++sXXf77bdPp06d8vvf/z59+/bNUUcdlSFDhuTee+9d6HMceOCBOfbYY/Pqq69miy22yN57751BgwalZ8+eufvuu7P99tvXfh7pknrnnXdy5JFHZp111skuu+ySQw89NAMHDsznP//53H///dl2222z//77L9VzsHJZma9DB5aefQTAkhOmTdD8z+789B1rjzrqqFxxxRXZbLPNMmHChDz44IMZMGBA7rvvvqy55prL7PnXX3/9PPTQQ/nhD3+Yrl275vbbb89tt92WGTNm5N/+7d+y9957167brl27/OlPf0r//v0zceLEXHnllfnNb37T4CnHn/brX/86V199dXr37p277747t956azp16pRzzjknY8aMqXOUc0n07NkzP/vZz9K3b9+8/PLL+cMf/pB77rknG2ywQS644ILcfffdadu27VI9ByuXpnwdOrD82UcALLlKtVpttBdFzZo1K5MmTUrPnj1rr1Ukeeqpp/LFL34xm2++eZ588snS02EpeI83Xa4XAxbGPgJg8Thi2sRUq9VcfPHFSZK+ffuWnQw0Y37hBBbGPgJg8bj5URPx9ttv58QTT8zjjz+exx9/PKuvvnpOOeWU0tMCAABYao6YNhHTp0/PyJEj8+qrr2afffbJ+PHja+9UCwAA0JQ5YtpEdO/ePTU1NaWnAQAAsMw5YgoAAEBRwhQAAICiGnWYViqV0lOAFcJ7HQCA5qxRh2mLFvOmN3fu3MIzgeVj/nt7/nsdAACao0b923DLli3Ttm3bTJ8+vfRUYLn48MMP07p167Rs2bL0VAAAoJhGHaZJ0qFDh7z77ruZNWtW6anAMlVTU5N//OMfWW211UpPBQAAiqpUq9Vq6UksTE1NTV577bV8+OGHWXPNNdO+ffu0auVTbmjaZs6cmXfeeSezZs1Kjx49vKcBAGjWGn2YJvPi9J133sm0adPy0UcflZ4OLBMdOnTI2muvnbZt25aeCgAAFNUkwvST5s6dm5qamjSxaUOtSqWSli1buuERAAB8rMmFKQAAACsXh2wAAAAoSpgCAABQlDAFAACgKGEKAABAUcIUAACAooQpAAAARQlTAAAAihKmAAAAFCVMAQAAKEqYAgAAUJQwBQAAoChhCgAAQFHCFAAAgKKEKQAAAEUJUwAAAIoSpgAAABQlTAEAAChKmAIAAFCUMAUAAKAoYQoAAEBRwhQAAICihCkAAABFCVMAAACKEqYAAAAUJUwBAAAoSpgCAABQlDAFAACgKGEKAABAUcIUAACAooQpAAAARQlTAAAAihKmAAAAFCVMAQAAKEqYAgAAUJQwBQAAoChhCgAAQFHCFAAAgKL+PxXpIpHZNpBnAAAAAElFTkSuQmCC" - }, - "execution_count": 61, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# Highlight specific links\n", "d.plot(highlightlink='10')" @@ -328,27 +165,10 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": null, + "id": "30a1c212", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "execution_count": 62, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# Highlight specific nodes \n", "d.plot(highlightnode=['10', '32'])" @@ -356,27 +176,10 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": null, + "id": "cfd79e40", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "execution_count": 63, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# Plot only nodes\n", "d.plot(point=True)" @@ -384,27 +187,10 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": null, + "id": "e0f2e8d9", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": "
    ", - "image/png": "iVBORw0KGgoAAAANSUhEUgAAA6YAAAJ6CAYAAAA7CV8LAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAC4jAAAuIwF4pT92AAAXBUlEQVR4nO3df4hVdf7H8fe9jek0Npppta19s19UQlJbQW3WtlEYlbuhsbBYZFB/SAQGRYVLBEZLu0VUUgsF1cbSjz9qwCgqNKMsC9pNKopC++GSkLNWaqnZnfv9o22+26b7NVd7XWceDxDGD2fOfR85XHh6zzm30W632wUAAAAhzfQAAAAADG/CFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQ1ZUeAAAA+PEMDAxUq9WqdrudHoVdqNFoVLPZrD322CM9ynYRpgAAMAxs3ry5+vv7a926delR+BGNHDmyent7a9y4cdVsdu4Fs422/yoBAIAh7euvv67333+/9txzzxo3blyNHDkyPRI/glarVRs2bKhPP/20uru766c//WnHxqkwBQCAIW716tW1cePGmjRpUseGCbvOV199VR988EGNGzeuxo8fnx5nq5yVAAAwxH3xxRc1duxYUTpM7bnnnjV27Nhav359epRtcmYCAMAQ1mq1asuWLdXd3Z0ehaDRo0fXpk2bqtVqpUfZKmEKAABD2MDAQFXVbvN0VnaNrq5vnnv77fnQaYQpAAAMYR4pw7/q1PNBmAIAABAlTAEAAIgSpgAAAEQJUwAAYFhpNBrf+dNsNmvs2LF16qmn1r333vu9+zAbjUZNmjQpM+ww0ZUeAAAAIOHiiy+uqm++UmfFihW1dOnSevHFF2vRokX10EMPhacbXoQpAAAwLN1///3f+fuzzz5b55xzTj388MM1a9asOu+886qq6u23364RI0YEJhw+XMoLAABQVWeddVZddNFFVVXV19c3uH7UUUfVYYcdFppqeBCmAAAA/3TcccdVVdWqVasG17Z2j+mSJUuq0WjU7Nmza/Xq1TV79uzaf//9q7u7u372s5/Vn//8522+xtq1a+u6666ryZMnV3d3d40ZM6bOOOOMeuKJJ7a6/ZtvvlkXXnhhHXrooTVq1KiaMGFCHXvssTV37txavXr1f3/QHcClvAAAAP+0fv36qqoaOXLkdm2/du3aOumkk2rz5s11+umn16efflrPPfdcXXzxxbVy5cq64YYbvrP9u+++W2eeeWatWrWqJk2aVNOmTav169fXsmXLavr06fXHP/6xrrrqqsHtX3vttZo6dWpt2rSppkyZUr/+9a/ryy+/rJUrV9btt99e559/fv3kJz/Zacef4hNTAICd7Mr7XkqPAOyAdrs9+KnllClTtut3Fi5cWEceeWStWLGiHnnkkXrmmWfqpZdeqtGjR9f8+fPrr3/96+C2rVarLrjgglq1alX94Q9/qBUrVlRfX18tWrSoli9fXoccckhde+219eabbw7+zh133FGbNm2qW265pZYvX16PPPJILVy4sN566616++2368gjj9y5/wghPjEFANjJNmzakh4BfpAr73tptzhvR48aUbdd8vOdvt9Wq1UrV66sm266qV5++eUaOXJkXXLJJdv1u81ms+68887q6ekZXDvxxBPr8ssvr5tvvrnuuuuuuvfee6vqm4h94403aubMmXX11Vd/Zz+HH3543XrrrTVjxoy655576vbbb6+qqjVr1lRV1Zlnnvm91z7qqKN26Hg7kTAFAIBhblfE3u6g0Wh8b23vvfeuBx54YLsfdnTsscdu9VPL3/72t3XzzTfXCy+8MLj2zDPPVFXVjBkztrqvU089taqqXn311cG1448/vp566qm6/PLL68Ybb6ypU6dWV9fQy7ihd0QAAADb4dvvMW02m9Xb21vHHHNMzZgxo/bZZ5/t3sfBBx+81fVvH5b08ccfD6598MEHVVU1a9asmjVr1jb32d/fP/jz1VdfXS+++GItWbKkfvnLX9bo0aPr5JNPrnPPPbdmz55dY8aM2e5ZO5kwBQAAhqV//x7TXW1gYKCqqs4+++zaf//9t7nd+PHjB3/u7e2txYsX19KlS2vhwoW1ZMmSWrx4cT377LP1+9//vl544YU64ogjdvnsu5owBQAA2EEffvjhf1w/8MADB9cmTpxYVVWXXnppzZw5c7tfo9Fo1NSpU2vq1KlVVfXJJ5/U3Llz66GHHqp58+bVo48+uqPjdwxP5QUAANhBr7/+er333nvfW3/44YerqgZjsqrqrLPOqqqqxx9//L96zf3222/wa2j+9Qm+uzNhCgAAsIMGBgbqiiuuqC+//HJw7bXXXqsFCxZUo9GoOXPmDK7PnDmzJk+eXH/5y19q/vz5tXnz5u/sq91u19KlS2vp0qWDa3/605/q/fff/97rPvnkk1VVddBBB+3sQ4pwKS8AAMAOOu+882r58uV12GGH1WmnnVaff/55LV68uLZs2VK/+93v6oQTThjctqurq/r6+mratGl1/fXX14IFC2rKlCm13377VX9/f73++uv1ySef1G233VannHJKVX0TpnPmzKnJkyfX0UcfXV1dXfXOO+/U8uXLa9SoUXX99denDn2nEqYAAAA7aN99961ly5bVNddcU08//XStW7euJk+eXHPnzq3Zs2d/b/sjjjii/va3v9WCBQvqscceq2XLltXXX39dBxxwQB133HH1q1/9qn7zm98Mbj9//vzq6+urV155pRYtWlRfffVVTZw4sS699NK66qqrtvpVNbsjYQoAAAwr7XZ7p25/4IEH1oMPPrjd+xszZkzNmzev5s2b9/9uO3369Jo+ffp273t35R5TAAAAooQpAAAAUcIUAACAKPeYAgAA/ECnn376D75XlW3ziSkAAABRwhQAAIAoYQoAAENYo9FIj0AH6dTzQZgCAMAQtscee1RV1ZYtW8KTkLR58+aq+r/zodMIUwAAGMKazWbttdde9fnnn3tYzzA1MDBQa9eurd7e3mo2OzMBPZUXAACGuPHjx9eqVauqqmrMmDE1YsSI8ET8GFqtVm3cuLE+++yzarVadcABB6RH2iZhCgAAQ1xPT08ddNBB1d/fXx999FF6HH5EI0aMqJ6enpowYUJ1dXVu/nXuZAAAwE7T09NTPT09NTAwUK1Wy2W9Q1yj0ahms9mx95T+O2EKAADDSLPZ7Nj7DBm+nJEAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFGNdrvdTg/Ria6876XasGlLegw6xJp1G2tCb3d6DDrI3/+xoSbuOzo9BtChPurfUP8z3nsEsHVr1m2svmvOTo/RUbrSA3Sq2y75eXoEoINddvfzdc+cX6THADqU9wjgP7ns7ufTI3Qcl/ICAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACI6koPALA7+vs/NtRldz+fHgPoUB/1e48Atm3Nuo3pETqOMAXYARP3HV33zPlFegygQ1129/PeIwB+AJfyAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiOpKDwCwO1qzbmNddvfz6TGADrVm3cb0CAC7lUa73W6nhwAAAGD4cikvAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACI+l8t25wRhDKQXAAAAABJRU5ErkJggg==" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": "
    ", - "image/png": "iVBORw0KGgoAAAANSUhEUgAAA6YAAAJ6CAYAAAA7CV8LAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAC4jAAAuIwF4pT92AAAXBUlEQVR4nO3df4hVdf7H8fe9jek0Npppta19s19UQlJbQW3WtlEYlbuhsbBYZFB/SAQGRYVLBEZLu0VUUgsF1cbSjz9qwCgqNKMsC9pNKopC++GSkLNWaqnZnfv9o22+26b7NVd7XWceDxDGD2fOfR85XHh6zzm30W632wUAAAAhzfQAAAAADG/CFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQ1ZUeAAAA+PEMDAxUq9WqdrudHoVdqNFoVLPZrD322CM9ynYRpgAAMAxs3ry5+vv7a926delR+BGNHDmyent7a9y4cdVsdu4Fs422/yoBAIAh7euvv67333+/9txzzxo3blyNHDkyPRI/glarVRs2bKhPP/20uru766c//WnHxqkwBQCAIW716tW1cePGmjRpUseGCbvOV199VR988EGNGzeuxo8fnx5nq5yVAAAwxH3xxRc1duxYUTpM7bnnnjV27Nhav359epRtcmYCAMAQ1mq1asuWLdXd3Z0ehaDRo0fXpk2bqtVqpUfZKmEKAABD2MDAQFXVbvN0VnaNrq5vnnv77fnQaYQpAAAMYR4pw7/q1PNBmAIAABAlTAEAAIgSpgAAAEQJUwAAYFhpNBrf+dNsNmvs2LF16qmn1r333vu9+zAbjUZNmjQpM+ww0ZUeAAAAIOHiiy+uqm++UmfFihW1dOnSevHFF2vRokX10EMPhacbXoQpAAAwLN1///3f+fuzzz5b55xzTj388MM1a9asOu+886qq6u23364RI0YEJhw+XMoLAABQVWeddVZddNFFVVXV19c3uH7UUUfVYYcdFppqeBCmAAAA/3TcccdVVdWqVasG17Z2j+mSJUuq0WjU7Nmza/Xq1TV79uzaf//9q7u7u372s5/Vn//8522+xtq1a+u6666ryZMnV3d3d40ZM6bOOOOMeuKJJ7a6/ZtvvlkXXnhhHXrooTVq1KiaMGFCHXvssTV37txavXr1f3/QHcClvAAAAP+0fv36qqoaOXLkdm2/du3aOumkk2rz5s11+umn16efflrPPfdcXXzxxbVy5cq64YYbvrP9u+++W2eeeWatWrWqJk2aVNOmTav169fXsmXLavr06fXHP/6xrrrqqsHtX3vttZo6dWpt2rSppkyZUr/+9a/ryy+/rJUrV9btt99e559/fv3kJz/Zacef4hNTAICd7Mr7XkqPAOyAdrs9+KnllClTtut3Fi5cWEceeWStWLGiHnnkkXrmmWfqpZdeqtGjR9f8+fPrr3/96+C2rVarLrjgglq1alX94Q9/qBUrVlRfX18tWrSoli9fXoccckhde+219eabbw7+zh133FGbNm2qW265pZYvX16PPPJILVy4sN566616++2368gjj9y5/wghPjEFANjJNmzakh4BfpAr73tptzhvR48aUbdd8vOdvt9Wq1UrV66sm266qV5++eUaOXJkXXLJJdv1u81ms+68887q6ekZXDvxxBPr8ssvr5tvvrnuuuuuuvfee6vqm4h94403aubMmXX11Vd/Zz+HH3543XrrrTVjxoy655576vbbb6+qqjVr1lRV1Zlnnvm91z7qqKN26Hg7kTAFAIBhblfE3u6g0Wh8b23vvfeuBx54YLsfdnTsscdu9VPL3/72t3XzzTfXCy+8MLj2zDPPVFXVjBkztrqvU089taqqXn311cG1448/vp566qm6/PLL68Ybb6ypU6dWV9fQy7ihd0QAAADb4dvvMW02m9Xb21vHHHNMzZgxo/bZZ5/t3sfBBx+81fVvH5b08ccfD6598MEHVVU1a9asmjVr1jb32d/fP/jz1VdfXS+++GItWbKkfvnLX9bo0aPr5JNPrnPPPbdmz55dY8aM2e5ZO5kwBQAAhqV//x7TXW1gYKCqqs4+++zaf//9t7nd+PHjB3/u7e2txYsX19KlS2vhwoW1ZMmSWrx4cT377LP1+9//vl544YU64ogjdvnsu5owBQAA2EEffvjhf1w/8MADB9cmTpxYVVWXXnppzZw5c7tfo9Fo1NSpU2vq1KlVVfXJJ5/U3Llz66GHHqp58+bVo48+uqPjdwxP5QUAANhBr7/+er333nvfW3/44YerqgZjsqrqrLPOqqqqxx9//L96zf3222/wa2j+9Qm+uzNhCgAAsIMGBgbqiiuuqC+//HJw7bXXXqsFCxZUo9GoOXPmDK7PnDmzJk+eXH/5y19q/vz5tXnz5u/sq91u19KlS2vp0qWDa3/605/q/fff/97rPvnkk1VVddBBB+3sQ4pwKS8AAMAOOu+882r58uV12GGH1WmnnVaff/55LV68uLZs2VK/+93v6oQTThjctqurq/r6+mratGl1/fXX14IFC2rKlCm13377VX9/f73++uv1ySef1G233VannHJKVX0TpnPmzKnJkyfX0UcfXV1dXfXOO+/U8uXLa9SoUXX99denDn2nEqYAAAA7aN99961ly5bVNddcU08//XStW7euJk+eXHPnzq3Zs2d/b/sjjjii/va3v9WCBQvqscceq2XLltXXX39dBxxwQB133HH1q1/9qn7zm98Mbj9//vzq6+urV155pRYtWlRfffVVTZw4sS699NK66qqrtvpVNbsjYQoAAAwr7XZ7p25/4IEH1oMPPrjd+xszZkzNmzev5s2b9/9uO3369Jo+ffp273t35R5TAAAAooQpAAAAUcIUAACAKPeYAgAA/ECnn376D75XlW3ziSkAAABRwhQAAIAoYQoAAENYo9FIj0AH6dTzQZgCAMAQtscee1RV1ZYtW8KTkLR58+aq+r/zodMIUwAAGMKazWbttdde9fnnn3tYzzA1MDBQa9eurd7e3mo2OzMBPZUXAACGuPHjx9eqVauqqmrMmDE1YsSI8ET8GFqtVm3cuLE+++yzarVadcABB6RH2iZhCgAAQ1xPT08ddNBB1d/fXx999FF6HH5EI0aMqJ6enpowYUJ1dXVu/nXuZAAAwE7T09NTPT09NTAwUK1Wy2W9Q1yj0ahms9mx95T+O2EKAADDSLPZ7Nj7DBm+nJEAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFGNdrvdTg/Ria6876XasGlLegw6xJp1G2tCb3d6DDrI3/+xoSbuOzo9BtChPurfUP8z3nsEsHVr1m2svmvOTo/RUbrSA3Sq2y75eXoEoINddvfzdc+cX6THADqU9wjgP7ns7ufTI3Qcl/ICAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACI6koPALA7+vs/NtRldz+fHgPoUB/1e48Atm3Nuo3pETqOMAXYARP3HV33zPlFegygQ1129/PeIwB+AJfyAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiOpKDwCwO1qzbmNddvfz6TGADrVm3cb0CAC7lUa73W6nhwAAAGD4cikvAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACIEqYAAABECVMAAACihCkAAABRwhQAAIAoYQoAAECUMAUAACBKmAIAABAlTAEAAIgSpgAAAEQJUwAAAKKEKQAAAFHCFAAAgChhCgAAQJQwBQAAIEqYAgAAECVMAQAAiBKmAAAARAlTAAAAooQpAAAAUcIUAACAKGEKAABAlDAFAAAgSpgCAAAQJUwBAACI+l8t25wRhDKQXAAAAABJRU5ErkJggg==" - }, - "execution_count": 64, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# Plot only links\n", "d.plot(line=True)" @@ -412,29 +198,10 @@ }, { "cell_type": "code", - "execution_count": 65, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "execution_count": 65, - "metadata": {}, - "output_type": "execute_result" - } - ], + "execution_count": null, + "id": "d5b09952", + "metadata": {}, + "outputs": [], "source": [ "# Hide legend\n", "d.plot(legend=False)" @@ -442,48 +209,24 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": null, + "id": "b3beb684", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Close toolkit for the input file \"Net1\". EPANET Toolkit is unloaded.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ "# Unload library\n", + "d.plot_show()\n", "d.unload()" ] } ], "metadata": { - "kernelspec": { - "display_name": "Python 3.10.6 64-bit (windows store)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.6" - }, - "vscode": { - "interpreter": { - "hash": "0df096debc758afc4e07b4a6d7176310e13b87e5b446a84739768769d4d90649" - } + "jupytext": { + "cell_metadata_filter": "-all", + "main_language": "python", + "notebook_metadata_filter": "-all" } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 5 } diff --git a/examples/notebooks/EX20_Change_connection_links.ipynb b/examples/notebooks/EX20_Change_connection_links.ipynb index 0815fe1..f30c488 100644 --- a/examples/notebooks/EX20_Change_connection_links.ipynb +++ b/examples/notebooks/EX20_Change_connection_links.ipynb @@ -1,66 +1,65 @@ { "cells": [ { - "cell_type": "markdown", - "id": "1964e4da", + "cell_type": "code", + "execution_count": null, + "id": "1b2dbf5f", "metadata": {}, + "outputs": [], "source": [ - "### Change connection of the links\n", - "\n", - "This example contains:\n", - "* Load network.\n", - "* Get all link node indices.\n", - "* Set link node indices for specific link index.\n", - "* Unload library" + "\"\"\" Change connection of the links\n", + " \n", + " This example contains:\n", + " Load network.\n", + " Get all link node indices.\n", + " Set link node indices for specific link index.\n", + " Unload library.\n", + " \n", + "\"\"\"\n", + "from epyt import epanet" ] }, { "cell_type": "code", - "execution_count": 1, - "id": "f41279ff", + "execution_count": null, + "id": "7d7af84f", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "EPANET version 20200 loaded (EPyT version 0.0.3).\n", - "Input File Net1.inp loaded successfully.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ - "from epyt import epanet\n", - "\n", - "# Load network\n", "d = epanet('Net1.inp')" ] }, { "cell_type": "code", - "execution_count": 2, - "id": "1497c746", + "execution_count": null, + "id": "6231519e", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[3, 4]\n", - "[2, 4]\n" - ] - } - ], + "outputs": [], "source": [ "# Examples: >> help d.getLinkNodesIndex\n", "linkIndex = 3\n", - "# d.getLinkNameID d.getNodeNameID\n", - "\n", + "# d.getLinkNameID d.getNodeNameID" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5237e3c7", + "metadata": {}, + "outputs": [], + "source": [ "# Get all link node indices\n", "linkNodes = d.getLinkNodesIndex(linkIndex)\n", - "print(linkNodes)\n", - "\n", + "print(linkNodes)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f3ef94c6", + "metadata": {}, + "outputs": [], + "source": [ "# Examples: >>> help (d.setLinkNodesIndex)\n", "startNode = 2\n", "endNode = 4\n", @@ -71,19 +70,10 @@ }, { "cell_type": "code", - "execution_count": 3, - "id": "46fed625", + "execution_count": null, + "id": "7494789f", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Close toolkit for the input file \"Net1\". EPANET Toolkit is unloaded.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ "# Unload library\n", "d.unload()" @@ -91,27 +81,10 @@ } ], "metadata": { - "kernelspec": { - "display_name": "Python 3.10.6 64-bit (windows store)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.6" - }, - "vscode": { - "interpreter": { - "hash": "0df096debc758afc4e07b4a6d7176310e13b87e5b446a84739768769d4d90649" - } + "jupytext": { + "cell_metadata_filter": "-all", + "main_language": "python", + "notebook_metadata_filter": "-all" } }, "nbformat": 4, diff --git a/examples/notebooks/EX21_set_node_name_ids.ipynb b/examples/notebooks/EX21_set_node_name_ids.ipynb index 8eed8c7..bc985b3 100644 --- a/examples/notebooks/EX21_set_node_name_ids.ipynb +++ b/examples/notebooks/EX21_set_node_name_ids.ipynb @@ -1,127 +1,117 @@ { "cells": [ { - "cell_type": "markdown", - "id": "ed74f34a", + "cell_type": "code", + "execution_count": null, + "id": "e1e48ff6", "metadata": {}, + "outputs": [], "source": [ - "### Set node name IDs\n", - "\n", - "This example contains:\n", - "* Load a network.\n", - "* Get node name ids.\n", - "* Set new node name ids.\n", - "* Get new node name ids.\n", - "* Unload library." + "\"\"\" Set node name IDs\n", + " This example contains:\n", + " Load a network.\n", + " Get node name ids.\n", + " Set new node name ids.\n", + " Get new node name ids.\n", + " Unload library.\n", + "\"\"\"\n", + "from epyt import epanet" ] }, { "cell_type": "code", - "execution_count": 1, - "id": "c0eb3251", + "execution_count": null, + "id": "46606ae9", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "EPANET version 20200 loaded (EPyT version 1.0.5).\n", - "Input File Net1.inp loaded successfully.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ - "from epyt import epanet\n", - "\n", "# Load network\n", "d = epanet('Net1.inp')" ] }, { "cell_type": "code", - "execution_count": 2, - "id": "f437a458", + "execution_count": null, + "id": "49308f0b", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - " Node name ids: \n", - " ['10', '11', '12', '13', '21', '22', '23', '31', '32', '9', '2']\n", - "\n", - " New Node name ids: \n", - " ['J-1', 'J-2', 'J-3', 'J-4', 'J-5', 'J-6', 'J-7', 'J-8', 'J-9', 'R-10', 'T-11'] \n", - "\n" - ] - } - ], + "outputs": [], + "source": [ + "print(f'\\n Node name ids: \\n {d.getNodeNameID()}')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5e1b0fbd", + "metadata": {}, + "outputs": [], "source": [ - "print(f'\\n Node name ids: \\n {d.getNodeNameID()}')\n", - "\n", "# Set your prefix \n", "junction_prefix = 'J'\n", "reservoir_prefix = 'R'\n", - "tank_prefix = 'T'\n", - "\n", + "tank_prefix = 'T'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9734c064", + "metadata": {}, + "outputs": [], + "source": [ "# Update node names \n", "for i in d.getNodeJunctionIndex():\n", - " d.setNodeNameID(i, junction_prefix + '-' + str(i))\n", - "\n", + " d.setNodeNameID(i, junction_prefix + '-' + str(i))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "891e7c1d", + "metadata": {}, + "outputs": [], + "source": [ "for i in d.getNodeReservoirIndex():\n", - " d.setNodeNameID(i, reservoir_prefix + '-' + str(i))\n", - "\n", + " d.setNodeNameID(i, reservoir_prefix + '-' + str(i))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "37692adc", + "metadata": {}, + "outputs": [], + "source": [ "for i in d.getNodeTankIndex():\n", - " d.setNodeNameID(i, tank_prefix + '-' + str(i))\n", - "\n", + " d.setNodeNameID(i, tank_prefix + '-' + str(i))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9c636cd2", + "metadata": {}, + "outputs": [], + "source": [ "print(f'\\n New Node name ids: \\n {d.getNodeNameID()} \\n')" ] }, { "cell_type": "code", - "execution_count": 3, - "id": "e44f7a55", + "execution_count": null, + "id": "1bf8b4b2", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Close toolkit for the input file \"Net1\". EPANET Toolkit is unloaded.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ - "# Unload library.\n", "d.unload()" ] } ], "metadata": { - "kernelspec": { - "display_name": "Python 3.10.6 64-bit (windows store)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.6" - }, - "vscode": { - "interpreter": { - "hash": "0df096debc758afc4e07b4a6d7176310e13b87e5b446a84739768769d4d90649" - } + "jupytext": { + "cell_metadata_filter": "-all", + "main_language": "python", + "notebook_metadata_filter": "-all" } }, "nbformat": 4, diff --git a/examples/notebooks/EX24_Parallel_Computations.ipynb b/examples/notebooks/EX24_Parallel_Computations.ipynb new file mode 100644 index 0000000..c994517 --- /dev/null +++ b/examples/notebooks/EX24_Parallel_Computations.ipynb @@ -0,0 +1,138 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "3b678604", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import shutil\n", + "import tempfile" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4b9b90da", + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "from multiprocess import Pool, cpu_count" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "33ebfad5", + "metadata": {}, + "outputs": [], + "source": [ + "from epyt import epanet, networks" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bbd18955", + "metadata": {}, + "outputs": [], + "source": [ + "# Paths\n", + "nets = networks.inp_files()\n", + "inpname = nets.Net1" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "50c31509", + "metadata": {}, + "outputs": [], + "source": [ + "# Number of simulations\n", + "Nsim = 1000\n", + "# 5% max uncertainty in base demands\n", + "eta_bar = 0.05" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e9bd5263", + "metadata": {}, + "outputs": [], + "source": [ + "def run_simulation(i):\n", + " with tempfile.NamedTemporaryFile(suffix='.inp', delete=False) as tmp_inp_file:\n", + " # tempfile.NamedTemporaryFile(suffix='.bin', delete=False) as tmp_bin_file:\n", + "\n", + " shutil.copy(inpname, tmp_inp_file.name)\n", + " temp_inp_path = tmp_inp_file.name\n", + " # temp_bin_path = tmp_bin_file.name\n", + "\n", + " try:\n", + "\n", + " G = epanet(temp_inp_path, display_msg=False)\n", + "\n", + " # Modify demands\n", + " base_demands = G.getNodeBaseDemands()[1]\n", + " rand_factors = (2 * np.random.rand(len(base_demands)) - 1) * eta_bar\n", + " new_base_demands = base_demands + rand_factors * base_demands\n", + " G.setNodeBaseDemands(new_base_demands)\n", + "\n", + " res = G.getComputedHydraulicTimeSeries()\n", + " # res = G.getComputedTimeSeries_ENepanet(tempfile=temp_inp_path, binfile=temp_bin_path)\n", + "\n", + " print(f'Epoch {i}')\n", + " return res\n", + "\n", + " finally:\n", + " try:\n", + " # Clean up temporary files\n", + " if os.path.exists(temp_inp_path):\n", + " os.remove(temp_inp_path)\n", + " # if os.path.exists(temp_bin_path):\n", + " # os.remove(temp_bin_path)\n", + " except:\n", + " pass" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3e9e082a", + "metadata": {}, + "outputs": [], + "source": [ + "if __name__ == '__main__':\n", + " with Pool(cpu_count()) as pool:\n", + " Pmcs = pool.map(run_simulation, range(1, Nsim + 1))\n", + "\n", + " node_index = 4\n", + " plt.figure(figsize=(12, 6))\n", + " for i in range(Nsim):\n", + " plt.plot(Pmcs[i].Pressure[:, node_index], color='gray', alpha=0.05)\n", + "\n", + " plt.xlabel('Time Step')\n", + " plt.ylabel('Pressure')\n", + " plt.title('Pressure - 1000 Scenarios at Node 5')\n", + " plt.grid(True)\n", + " plt.tight_layout()\n", + " plt.show()" + ] + } + ], + "metadata": { + "jupytext": { + "cell_metadata_filter": "-all", + "main_language": "python", + "notebook_metadata_filter": "-all" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/notebooks/EX28_Leakage.ipynb b/examples/notebooks/EX28_Leakage.ipynb new file mode 100644 index 0000000..a72c3b7 --- /dev/null +++ b/examples/notebooks/EX28_Leakage.ipynb @@ -0,0 +1,228 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "abe311aa", + "metadata": {}, + "source": [ + "EPyT (EPANET 2.3) — FAVAD leakage demo" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a1348168", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from epyt import epanet" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f1ba81fb", + "metadata": { + "lines_to_next_cell": 1 + }, + "outputs": [], + "source": [ + "def main():\n", + " # ===== Input file =====\n", + " INP = \"Net1.inp\"\n", + " d = epanet(INP)\n", + "\n", + " q_unit = d.getFlowUnits()\n", + " p_unit = d.getOptionsPressureUnits()\n", + " print(f\"[Units] Flow={q_unit} | Pressure={p_unit}\")\n", + "\n", + " # ===== Simulation settings =====\n", + " SIM_HOURS = 24\n", + " HYD_STEP_MIN = 60\n", + "\n", + " d.setTimeSimulationDuration(SIM_HOURS * 3600)\n", + " d.setTimeHydraulicStep(HYD_STEP_MIN * 60)\n", + "\n", + " n_links = d.getLinkCount()\n", + "\n", + " # ===== Apply leakage to multiple links =====\n", + " # (LinkID, LC1, LC2)\n", + " leak_links = [\n", + " (\"21\", 1.0, 0.10),\n", + " (\"12\", 0.8, 0.05),\n", + " (\"31\", 0.9, 0.08),\n", + " ]\n", + "\n", + " print(\"\\n===== APPLY LEAKAGE =====\")\n", + " leak_link_ids = [x[0] for x in leak_links]\n", + " leak_link_indices = []\n", + "\n", + " for link_id, lc1, lc2 in leak_links:\n", + " link_idx = d.getLinkIndex(link_id)\n", + " if (link_idx is None) or (link_idx <= 0):\n", + " raise ValueError(f'Link ID \"{link_id}\" not found.')\n", + "\n", + " leak_link_indices.append(link_idx)\n", + "\n", + " d.setLinkLeakArea(link_idx, lc1)\n", + " d.setLinkExpansionProperties(link_idx, lc2)\n", + "\n", + " print(f\"Applied leakage to link {link_id} (index {link_idx}): LC1={lc1:.6g}, LC2={lc2:.6g}\")\n", + "\n", + " # ===== Run hydraulics and retrieve time series =====\n", + " # EPyT expects strings (not lists) for each attribute\n", + " res = d.getComputedHydraulicTimeSeries([\n", + " \"linkleakagerate\",\n", + " \"nodeleakageflow\",\n", + " \"emitterflow\",\n", + " \"demanddelivered\",\n", + " \"demandrequested\"]\n", + " )\n", + "\n", + " time_s = np.asarray(res.Time).reshape(-1)\n", + " time_h = time_s / 3600.0\n", + "\n", + " leak_link_ts = np.asarray(res.LinkLeakageRate) # [time x links] (L/s)\n", + " leak_node_ts = np.asarray(res.NodeLeakageFlow) # [time x nodes] (L/s)\n", + "\n", + " # ===== Core results: totals, averages, peak, volumes =====\n", + " total_leak_ts_lps = np.nansum(leak_link_ts, axis=1)\n", + " avg_total_leak_lps = float(np.nanmean(total_leak_ts_lps))\n", + "\n", + " if time_s.size >= 2:\n", + " total_leaked_volume_m3 = float(np.trapezoid(total_leak_ts_lps, time_s) / 1000.0) # (L/s)*s -> L -> m^3\n", + " else:\n", + " total_leaked_volume_m3 = float(\"nan\")\n", + "\n", + " idx_peak = int(np.nanargmax(total_leak_ts_lps))\n", + " peak_total_leak_lps = float(total_leak_ts_lps[idx_peak])\n", + " t_peak_h = float(time_h[idx_peak])\n", + "\n", + " print(\"\\n===== LEAKAGE SUMMARY =====\")\n", + " print(f\"Average total leakage : {avg_total_leak_lps:.3f} L/s\")\n", + " print(f\"Peak total leakage : {peak_total_leak_lps:.3f} L/s at t = {t_peak_h:.2f} h\")\n", + " print(f\"Total leaked volume : {total_leaked_volume_m3:.2f} m3/day (over {SIM_HOURS} h)\")\n", + "\n", + " # ===== Per-link mean leakage and peak snapshot =====\n", + " avg_leak_per_link_lps = np.nanmean(leak_link_ts, axis=0).reshape(-1) # [links]\n", + " leak_at_peak_lps = leak_link_ts[idx_peak, :].reshape(-1) # [links]\n", + "\n", + " # ===== Links by mean leakage =====\n", + " topN = 3\n", + " sorted_ix = np.argsort(-avg_leak_per_link_lps) # descending\n", + " topN = min(topN, n_links)\n", + "\n", + " top_link_index = sorted_ix[:topN] + 1 # EPANET link indexing is 1-based\n", + " top_link_leak = avg_leak_per_link_lps[sorted_ix[:topN]]\n", + "\n", + " top_link_id = []\n", + " for idx0 in sorted_ix[:topN]:\n", + " idx1 = int(idx0 + 1)\n", + " top_link_id.append(str(d.getLinkNameID(idx1)))\n", + "\n", + " print(f\"\\nTop-{topN} links by MEAN leakage (L/s):\")\n", + " for rank in range(topN):\n", + " print(f\"{rank+1:>2}. LinkIndex={int(top_link_index[rank])} | LinkID={top_link_id[rank]} | MeanLeak_LPS={top_link_leak[rank]:.6g}\")\n", + "\n", + " # ===== Consistency checks for ALL leaky links (end nodes for each link) =====\n", + " print(\"\\n===== CONSISTENCY CHECKS (per leaky link) =====\")\n", + " tol_L = 0.01\n", + "\n", + " for link_id, link_idx in zip(leak_link_ids, leak_link_indices):\n", + " nodes = d.getLinkNodesIndex(link_idx) # [node1, node2] (1-based)\n", + " node1 = int(nodes[0])\n", + " node2 = int(nodes[1])\n", + "\n", + " # numpy uses 0-based indices\n", + " node_cols = [node1 - 1, node2 - 1]\n", + " link_col = link_idx - 1\n", + "\n", + " leak_nodes_total = float(np.nansum(leak_node_ts[:, node_cols]))\n", + " leak_link_total = float(np.nansum(leak_link_ts[:, link_col]))\n", + " abs_diff = abs(leak_link_total - leak_nodes_total)\n", + "\n", + " print(\n", + " f\"Link {link_id} (idx {link_idx}) nodes ({node1},{node2}): \"\n", + " f\"LinkSum={leak_link_total:.4f} | NodeSum={leak_nodes_total:.4f} | Diff={abs_diff:.4f}\"\n", + " )\n", + "\n", + " if not (abs_diff < tol_L):\n", + " raise AssertionError(f\"Leak mismatch for link {link_id}: link != nodes (Diff={abs_diff})\")\n", + "\n", + " # ===== Plots =====\n", + " fig = plt.figure(figsize=(12, 8))\n", + " fig.suptitle(\"Leakage Results\")\n", + "\n", + " # 1) Total leakage over time\n", + " ax1 = plt.subplot(2, 2, 1)\n", + " ax1.plot(time_h, total_leak_ts_lps, linewidth=1.5)\n", + " ax1.grid(True)\n", + " ax1.set_xlabel(\"Time (h)\")\n", + " ax1.set_ylabel(\"Total leakage (L/s)\")\n", + " ax1.set_title(\"Total leakage time series\")\n", + " ax1.plot(time_h[idx_peak], peak_total_leak_lps, marker=\"o\")\n", + " ax1.text(time_h[idx_peak], peak_total_leak_lps, f\" Peak {peak_total_leak_lps:.2f} L/s @ {t_peak_h:.2f} h\", va=\"bottom\")\n", + "\n", + " # 2) Leakage over time for each leaky link\n", + " ax2 = plt.subplot(2, 2, 2)\n", + " for link_id, link_idx in zip(leak_link_ids, leak_link_indices):\n", + " ax2.plot(time_h, leak_link_ts[:, link_idx - 1], linewidth=1.5, label=f\"Link {link_id}\")\n", + " ax2.grid(True)\n", + " ax2.set_xlabel(\"Time (h)\")\n", + " ax2.set_ylabel(\"Leakage (L/s)\")\n", + " ax2.set_title(\"Leakage on selected links\")\n", + " ax2.legend()\n", + "\n", + " # 3) Links bar (mean leakage)\n", + " ax3 = plt.subplot(2, 2, 3)\n", + " ax3.bar(np.arange(1, topN + 1), top_link_leak)\n", + " ax3.grid(True)\n", + " ax3.set_xlabel(\"Rank\")\n", + " ax3.set_ylabel(\"Mean leakage (L/s)\")\n", + " ax3.set_title(\"Links by mean leakage\")\n", + " ax3.set_xticks(np.arange(1, topN + 1))\n", + " ax3.set_xticklabels(top_link_id)\n", + "\n", + " # 4) Sum of leakage at end nodes (per leaky link)\n", + " ax4 = plt.subplot(2, 2, 4)\n", + " for link_id, link_idx in zip(leak_link_ids, leak_link_indices):\n", + " nodes = d.getLinkNodesIndex(link_idx)\n", + " node_cols = [int(nodes[0]) - 1, int(nodes[1]) - 1]\n", + " ax4.plot(time_h, np.nansum(leak_node_ts[:, node_cols], axis=1), linewidth=1.5, label=f\"Nodes of {link_id}\")\n", + " ax4.grid(True)\n", + " ax4.set_xlabel(\"Time (h)\")\n", + " ax4.set_ylabel(\"End-node leakage (L/s)\")\n", + " ax4.set_title(\"Leakage at end nodes of selected links\")\n", + " ax4.legend()\n", + "\n", + " plt.tight_layout()\n", + " plt.show()\n", + "\n", + " # ===== Close EPANET object =====\n", + " d.unload()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3dfb6e01", + "metadata": {}, + "outputs": [], + "source": [ + "if __name__ == \"__main__\":\n", + " main()" + ] + } + ], + "metadata": { + "jupytext": { + "cell_metadata_filter": "-all", + "main_language": "python", + "notebook_metadata_filter": "-all" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/notebooks/EX2_Hydraulic_analysis.ipynb b/examples/notebooks/EX2_Hydraulic_analysis.ipynb index a2b274f..4c74fd1 100644 --- a/examples/notebooks/EX2_Hydraulic_analysis.ipynb +++ b/examples/notebooks/EX2_Hydraulic_analysis.ipynb @@ -1,39713 +1,109 @@ { "cells": [ { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": null, + "id": "2a0cb5ec", "metadata": {}, + "outputs": [], "source": [ - "### Runs the hydraulic analysis of a network.\n", + "\"\"\" Runs the hydraulic analysis of a network.\n", "\n", - "This example contains:\n", - "* Load a network.\n", - "* Set simulation time duration.\n", - "* Hydraulic analysis using ENepanet binary file.\n", - "* Hydraulic analysis using EN functions.\n", - "* Hydraulic analysis step-by-step.\n", - "* Unload library." + " This example contains:\n", + " Load a network.\n", + " Set simulation time duration.\n", + " Hydraulic analysis using ENepanet binary file.\n", + " Hydraulic analysis using EN functions.\n", + " Hydraulic analysis step-by-step.\n", + " Unload library.\n", + "\"\"\"\n", + "# Run hydraulic analysis of a network\n", + "from epyt import epanet\n", + "import time" ] }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, + "id": "658ff22b", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "EPANET version 20200 loaded (EPyT version 1.0.5).\n", - "Input File ky10.inp loaded successfully.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ - "from epyt import epanet\n", - "import time\n", - "\n", "# Load a network.\n", - "d = epanet('ky10.inp')" + "d = epanet('L-TOWN.inp', loadfile=True)" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, + "id": "cf5e33cf", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\mkiri\\OneDrive - University of Cyprus\\GITHUB\\EPyT\\epyt\\epanet.py:11805: UserWarning: WARNING: System has negative pressures.\n", - " warnings.warn(errmssg.value.decode())\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "\n", - "Time: [ 0 3600 7200 10800 14400 18000 21600 25200 28800 32400\n", - " 36000 39600 43200 46800 50400 54000 57600 61200 64800 68400\n", - " 72000 75600 79200 82800 86400 90000 93600 97200 100800 104400\n", - " 108000 111600 115200 118800 122400 126000 129600 133200 136800 140400\n", - " 144000 147600 151200 154800 158400 162000 165600 169200 172800 176400\n", - " 180000]\n", - "Pressure: [[105.81751251 133.46382141 106.69873047 ... 61.65564346 52.76333237\n", - " 64.38582611]\n", - " [103.24545288 133.525177 104.59546661 ... 57.61453247 54.13212585\n", - " 61.79781723]\n", - " [103.2245636 133.62767029 103.06373596 ... 54.36142349 53.97198868\n", - " 61.81839371]\n", - " ...\n", - " [ 65.39229584 111.6625061 78.00791931 ... 50.82314301 52.70422363\n", - " 57.88632202]\n", - " [ 68.65584564 119.59001923 80.45279694 ... 50.82314301 52.70422363\n", - " 57.88632202]\n", - " [ 70.70777893 124.13030243 82.0353775 ... 50.82314301 52.70422363\n", - " 57.88632202]]\n", - "Demand: [[ 2.21099988e-01 1.03289998e+00 2.01629996e+00 ... -2.52340430e+03\n", - " 4.17301318e+03 -4.35716846e+03]\n", - " [ 1.67500004e-01 7.82500029e-01 1.52750003e+00 ... -2.03979651e+03\n", - " 2.51403833e+03 -2.68572290e+03]\n", - " [ 1.40029997e-01 6.54169977e-01 1.27699006e+00 ... -1.55582349e+03\n", - " 2.60898853e+03 -2.81175439e+03]\n", - " ...\n", - " [ 2.21099988e-01 1.03289998e+00 2.01629996e+00 ... 0.00000000e+00\n", - " 0.00000000e+00 0.00000000e+00]\n", - " [ 1.67500004e-01 7.82500029e-01 1.52750003e+00 ... 0.00000000e+00\n", - " 0.00000000e+00 0.00000000e+00]\n", - " [ 1.40029997e-01 6.54169977e-01 1.27699006e+00 ... 0.00000000e+00\n", - " 0.00000000e+00 0.00000000e+00]]\n", - "Head: [[ 959.69824219 1110.01831055 886.15917969 ... 900.\n", - " 945. 960. ]\n", - " [ 953.76226807 1110.15991211 881.30511475 ... 890.67364502\n", - " 948.15899658 954.02722168]\n", - " [ 953.71405029 1110.39648438 877.77008057 ... 883.16589355\n", - " 947.78942871 954.07470703]\n", - " ...\n", - " [ 866.40209961 1059.70373535 819.94451904 ... 875.\n", - " 944.86358643 945. ]\n", - " [ 873.93395996 1077.99938965 825.5869751 ... 875.\n", - " 944.86358643 945. ]\n", - " [ 878.66955566 1088.4777832 829.23937988 ... 875.\n", - " 944.86358643 945. ]]\n", - "NodeQuality: [[0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " ...\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]]\n", - "Flow: [[-1.84155106e+02 -9.11535263e+01 3.76199991e-01 ... 4.47908974e+01\n", - " 1.83358673e+02 1.76532379e+02]\n", - " [-1.71684555e+02 -8.67958374e+01 2.84999996e-01 ... 3.39324989e+01\n", - " 1.87016205e+02 1.74853836e+02]\n", - " [-2.02765915e+02 -8.35634308e+01 2.38259986e-01 ... 2.83675690e+01\n", - " 1.91047211e+02 1.73284851e+02]\n", - " ...\n", - " [ 0.00000000e+00 0.00000000e+00 3.76199991e-01 ... 4.47908974e+01\n", - " 3.43754364e+02 1.94540100e+02]\n", - " [ 0.00000000e+00 0.00000000e+00 2.84999996e-01 ... 3.39324989e+01\n", - " 3.31127960e+02 1.92217499e+02]\n", - " [ 0.00000000e+00 0.00000000e+00 2.38259986e-01 ... 2.83675690e+01\n", - " 3.23494507e+02 1.91000427e+02]]\n", - "Velocity: [[1.17542136e+00 2.32725120e+00 4.26880224e-03 ... 1.82969852e-05\n", - " 7.49016253e-05 7.21130928e-05]\n", - " [1.09582448e+00 2.21599460e+00 3.23394127e-03 ... 1.38613523e-05\n", - " 7.63957141e-05 7.14274138e-05]\n", - " [1.29420996e+00 2.13346767e+00 2.70357472e-03 ... 1.15880912e-05\n", - " 7.80423725e-05 7.07864820e-05]\n", - " ...\n", - " [0.00000000e+00 0.00000000e+00 4.26880224e-03 ... 1.82969852e-05\n", - " 1.40422926e-04 7.94692096e-05]\n", - " [0.00000000e+00 0.00000000e+00 3.23394127e-03 ... 1.38613523e-05\n", - " 1.35265058e-04 7.85204320e-05]\n", - " [0.00000000e+00 0.00000000e+00 2.70357472e-03 ... 1.15880912e-05\n", - " 1.32146801e-04 7.80232585e-05]]\n", - "HeadLoss: [[6.10536814e-01 4.85696030e+00 4.39923133e-05 ... 8.37191162e+01\n", - " 2.79299927e+02 7.61162109e+01]\n", - " [5.36072075e-01 4.43571901e+00 4.39923133e-05 ... 8.33018799e+01\n", - " 2.71003906e+02 7.41800537e+01]\n", - " [7.29705095e-01 4.13467503e+00 0.00000000e+00 ... 8.29500732e+01\n", - " 2.62103271e+02 7.32941895e+01]\n", - " ...\n", - " [0.00000000e+00 0.00000000e+00 4.39923133e-05 ... 7.46746826e+01\n", - " 0.00000000e+00 0.00000000e+00]\n", - " [0.00000000e+00 0.00000000e+00 0.00000000e+00 ... 7.59517822e+01\n", - " 1.57950439e+01 0.00000000e+00]\n", - " [0.00000000e+00 0.00000000e+00 4.39923133e-05 ... 7.73254395e+01\n", - " 2.66548462e+01 0.00000000e+00]]\n", - "Status: [[3 3 3 ... 4 4 4]\n", - " [3 3 3 ... 4 4 4]\n", - " [3 3 3 ... 4 4 4]\n", - " ...\n", - " [1 1 3 ... 4 3 3]\n", - " [1 1 3 ... 4 4 3]\n", - " [1 1 3 ... 4 4 3]]\n", - "Setting: [[150. 150. 150. ... 39.99000168 139.99000549\n", - " 150. ]\n", - " [150. 150. 150. ... 39.99000168 139.99000549\n", - " 150. ]\n", - " [150. 150. 150. ... 39.99000168 139.99000549\n", - " 150. ]\n", - " ...\n", - " [150. 150. 150. ... 39.99000168 139.99000549\n", - " 150. ]\n", - " [150. 150. 150. ... 39.99000168 139.99000549\n", - " 150. ]\n", - " [150. 150. 150. ... 39.99000168 139.99000549\n", - " 150. ]]\n", - "ReactionRate: [[0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " ...\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]]\n", - "FrictionFactor: [[0.0189722 0.01925045 0.0777354 ... 0. 0. 0. ]\n", - " [0.01916611 0.01939052 0.13544616 ... 0. 0. 0. ]\n", - " [0.01870384 0.01949989 0. ... 0. 0. 0. ]\n", - " ...\n", - " [0. 0. 0.0777354 ... 0. 0. 0. ]\n", - " [0. 0. 0. ... 0. 0. 0. ]\n", - " [0. 0. 0.19380018 ... 0. 0. 0. ]]\n", - "LinkQuality: [[0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " ...\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]]\n", - "StatusStr: [['OPEN' 'OPEN' 'OPEN' ... 'ACTIVE(PARTIALY OPEN)'\n", - " 'ACTIVE(PARTIALY OPEN)' 'ACTIVE(PARTIALY OPEN)']\n", - " ['OPEN' 'OPEN' 'OPEN' ... 'ACTIVE(PARTIALY OPEN)'\n", - " 'ACTIVE(PARTIALY OPEN)' 'ACTIVE(PARTIALY OPEN)']\n", - " ['OPEN' 'OPEN' 'OPEN' ... 'ACTIVE(PARTIALY OPEN)'\n", - " 'ACTIVE(PARTIALY OPEN)' 'ACTIVE(PARTIALY OPEN)']\n", - " ...\n", - " ['TEMPORARILY CLOSED' 'TEMPORARILY CLOSED' 'OPEN' ...\n", - " 'ACTIVE(PARTIALY OPEN)' 'OPEN' 'OPEN']\n", - " ['TEMPORARILY CLOSED' 'TEMPORARILY CLOSED' 'OPEN' ...\n", - " 'ACTIVE(PARTIALY OPEN)' 'ACTIVE(PARTIALY OPEN)' 'OPEN']\n", - " ['TEMPORARILY CLOSED' 'TEMPORARILY CLOSED' 'OPEN' ...\n", - " 'ACTIVE(PARTIALY OPEN)' 'ACTIVE(PARTIALY OPEN)' 'OPEN']]\n", - "\n", - "\n", - "Time: [ 0 3600 7200 10800 14400 18000 21600 25200 28800 32400\n", - " 36000 39600 43200 46800 50400 54000 57600 61200 64800 68400\n", - " 72000 75600 79200 82800 86400 90000 93600 97200 100800 104400\n", - " 108000 111600 115200 118800 122400 126000 129600 133200 136800 140400\n", - " 144000 147600 151200 154800 158400 162000 165600 169200 172800 176400\n", - " 180000]\n", - "Pressure: [[105.81751251 133.46382141 106.69873047 ... 61.65564346 52.76333237\n", - " 64.38582611]\n", - " [103.24545288 133.525177 104.59546661 ... 57.61453247 54.13212585\n", - " 61.79781723]\n", - " [103.2245636 133.62767029 103.06373596 ... 54.36142349 53.97198868\n", - " 61.81839371]\n", - " ...\n", - " [ 65.39229584 111.6625061 78.00791931 ... 50.82314301 52.70422363\n", - " 57.88632202]\n", - " [ 68.65584564 119.59001923 80.45279694 ... 50.82314301 52.70422363\n", - " 57.88632202]\n", - " [ 70.70777893 124.13030243 82.0353775 ... 50.82314301 52.70422363\n", - " 57.88632202]]\n", - "Demand: [[ 2.21099988e-01 1.03289998e+00 2.01629996e+00 ... -2.52340430e+03\n", - " 4.17301318e+03 -4.35716846e+03]\n", - " [ 1.67500004e-01 7.82500029e-01 1.52750003e+00 ... -2.03979651e+03\n", - " 2.51403833e+03 -2.68572290e+03]\n", - " [ 1.40029997e-01 6.54169977e-01 1.27699006e+00 ... -1.55582349e+03\n", - " 2.60898853e+03 -2.81175439e+03]\n", - " ...\n", - " [ 2.21099988e-01 1.03289998e+00 2.01629996e+00 ... 0.00000000e+00\n", - " 0.00000000e+00 0.00000000e+00]\n", - " [ 1.67500004e-01 7.82500029e-01 1.52750003e+00 ... 0.00000000e+00\n", - " 0.00000000e+00 0.00000000e+00]\n", - " [ 1.40029997e-01 6.54169977e-01 1.27699006e+00 ... 0.00000000e+00\n", - " 0.00000000e+00 0.00000000e+00]]\n", - "Head: [[ 959.69824219 1110.01831055 886.15917969 ... 900.\n", - " 945. 960. ]\n", - " [ 953.76226807 1110.15991211 881.30511475 ... 890.67364502\n", - " 948.15899658 954.02722168]\n", - " [ 953.71405029 1110.39648438 877.77008057 ... 883.16589355\n", - " 947.78942871 954.07470703]\n", - " ...\n", - " [ 866.40209961 1059.70373535 819.94451904 ... 875.\n", - " 944.86358643 945. ]\n", - " [ 873.93395996 1077.99938965 825.5869751 ... 875.\n", - " 944.86358643 945. ]\n", - " [ 878.66955566 1088.4777832 829.23937988 ... 875.\n", - " 944.86358643 945. ]]\n", - "NodeQuality: [[0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " ...\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]]\n", - "Flow: [[-1.84155106e+02 -9.11535263e+01 3.76199991e-01 ... 4.47908974e+01\n", - " 1.83358673e+02 1.76532379e+02]\n", - " [-1.71684555e+02 -8.67958374e+01 2.84999996e-01 ... 3.39324989e+01\n", - " 1.87016205e+02 1.74853836e+02]\n", - " [-2.02765915e+02 -8.35634308e+01 2.38259986e-01 ... 2.83675690e+01\n", - " 1.91047211e+02 1.73284851e+02]\n", - " ...\n", - " [ 0.00000000e+00 0.00000000e+00 3.76199991e-01 ... 4.47908974e+01\n", - " 3.43754364e+02 1.94540100e+02]\n", - " [ 0.00000000e+00 0.00000000e+00 2.84999996e-01 ... 3.39324989e+01\n", - " 3.31127960e+02 1.92217499e+02]\n", - " [ 0.00000000e+00 0.00000000e+00 2.38259986e-01 ... 2.83675690e+01\n", - " 3.23494507e+02 1.91000427e+02]]\n", - "Velocity: [[1.17542136e+00 2.32725120e+00 4.26880224e-03 ... 1.82969852e-05\n", - " 7.49016253e-05 7.21130928e-05]\n", - " [1.09582448e+00 2.21599460e+00 3.23394127e-03 ... 1.38613523e-05\n", - " 7.63957141e-05 7.14274138e-05]\n", - " [1.29420996e+00 2.13346767e+00 2.70357472e-03 ... 1.15880912e-05\n", - " 7.80423725e-05 7.07864820e-05]\n", - " ...\n", - " [0.00000000e+00 0.00000000e+00 4.26880224e-03 ... 1.82969852e-05\n", - " 1.40422926e-04 7.94692096e-05]\n", - " [0.00000000e+00 0.00000000e+00 3.23394127e-03 ... 1.38613523e-05\n", - " 1.35265058e-04 7.85204320e-05]\n", - " [0.00000000e+00 0.00000000e+00 2.70357472e-03 ... 1.15880912e-05\n", - " 1.32146801e-04 7.80232585e-05]]\n", - "HeadLoss: [[6.10536814e-01 4.85696030e+00 4.39923133e-05 ... 8.37191162e+01\n", - " 2.79299927e+02 7.61162109e+01]\n", - " [5.36072075e-01 4.43571901e+00 4.39923133e-05 ... 8.33018799e+01\n", - " 2.71003906e+02 7.41800537e+01]\n", - " [7.29705095e-01 4.13467503e+00 0.00000000e+00 ... 8.29500732e+01\n", - " 2.62103271e+02 7.32941895e+01]\n", - " ...\n", - " [0.00000000e+00 0.00000000e+00 4.39923133e-05 ... 7.46746826e+01\n", - " 0.00000000e+00 0.00000000e+00]\n", - " [0.00000000e+00 0.00000000e+00 0.00000000e+00 ... 7.59517822e+01\n", - " 1.57950439e+01 0.00000000e+00]\n", - " [0.00000000e+00 0.00000000e+00 4.39923133e-05 ... 7.73254395e+01\n", - " 2.66548462e+01 0.00000000e+00]]\n", - "Status: [[3 3 3 ... 4 4 4]\n", - " [3 3 3 ... 4 4 4]\n", - " [3 3 3 ... 4 4 4]\n", - " ...\n", - " [1 1 3 ... 4 3 3]\n", - " [1 1 3 ... 4 4 3]\n", - " [1 1 3 ... 4 4 3]]\n", - "Setting: [[150. 150. 150. ... 39.99000168 139.99000549\n", - " 150. ]\n", - " [150. 150. 150. ... 39.99000168 139.99000549\n", - " 150. ]\n", - " [150. 150. 150. ... 39.99000168 139.99000549\n", - " 150. ]\n", - " ...\n", - " [150. 150. 150. ... 39.99000168 139.99000549\n", - " 150. ]\n", - " [150. 150. 150. ... 39.99000168 139.99000549\n", - " 150. ]\n", - " [150. 150. 150. ... 39.99000168 139.99000549\n", - " 150. ]]\n", - "ReactionRate: [[0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " ...\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]]\n", - "FrictionFactor: [[0.0189722 0.01925045 0.0777354 ... 0. 0. 0. ]\n", - " [0.01916611 0.01939052 0.13544616 ... 0. 0. 0. ]\n", - " [0.01870384 0.01949989 0. ... 0. 0. 0. ]\n", - " ...\n", - " [0. 0. 0.0777354 ... 0. 0. 0. ]\n", - " [0. 0. 0. ... 0. 0. 0. ]\n", - " [0. 0. 0.19380018 ... 0. 0. 0. ]]\n", - "LinkQuality: [[0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " ...\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]]\n", - "StatusStr: [['OPEN' 'OPEN' 'OPEN' ... 'ACTIVE(PARTIALY OPEN)'\n", - " 'ACTIVE(PARTIALY OPEN)' 'ACTIVE(PARTIALY OPEN)']\n", - " ['OPEN' 'OPEN' 'OPEN' ... 'ACTIVE(PARTIALY OPEN)'\n", - " 'ACTIVE(PARTIALY OPEN)' 'ACTIVE(PARTIALY OPEN)']\n", - " ['OPEN' 'OPEN' 'OPEN' ... 'ACTIVE(PARTIALY OPEN)'\n", - " 'ACTIVE(PARTIALY OPEN)' 'ACTIVE(PARTIALY OPEN)']\n", - " ...\n", - " ['TEMPORARILY CLOSED' 'TEMPORARILY CLOSED' 'OPEN' ...\n", - " 'ACTIVE(PARTIALY OPEN)' 'OPEN' 'OPEN']\n", - " ['TEMPORARILY CLOSED' 'TEMPORARILY CLOSED' 'OPEN' ...\n", - " 'ACTIVE(PARTIALY OPEN)' 'ACTIVE(PARTIALY OPEN)' 'OPEN']\n", - " ['TEMPORARILY CLOSED' 'TEMPORARILY CLOSED' 'OPEN' ...\n", - " 'ACTIVE(PARTIALY OPEN)' 'ACTIVE(PARTIALY OPEN)' 'OPEN']]\n", - "\n", - "\n", - "Time: [ 0 1942 3600 5496 7200 7997 8398 9726 10800 12568\n", - " 14285 14295 14400 18000 19737 21600 23050 24899 25200 26515\n", - " 28800 29096 30365 32400 33647 36000 37241 38429 39356 39600\n", - " 43200 44141 46800 47345 50400 52716 54000 57600 61200 64800\n", - " 65310 68400 72000 75161 75600 79200 79287 79780 82800 86400\n", - " 90000 93600 97200 98209 100800 104400 104665 108000 111600 115200\n", - " 115538 118038 118800 122400 126000 127926 129600 133200 136800 140400\n", - " 144000 147600 148479 151200 154800 158400 158559 162000 165600 169200\n", - " 172800 176400 177894 180000]\n", - "Pressure: [[105.81752434 133.46379601 106.69873399 ... 61.65564356 52.76333097\n", - " 64.38582353]\n", - " [ 92.41471376 133.50941357 103.75429237 ... 59.42800166 56.44723472\n", - " 57.88528167]\n", - " [103.24544196 133.52514889 104.59545976 ... 57.61452954 54.13212363\n", - " 61.79781941]\n", - " ...\n", - " [ 68.65683381 119.59160653 80.45391027 ... 50.82314356 52.59805224\n", - " 57.88632353]\n", - " [ 68.92503474 119.88840036 80.70000022 ... 50.82314356 52.59805224\n", - " 57.88632353]\n", - " [ 70.70912041 124.13229859 82.03685014 ... 50.82314356 52.59805224\n", - " 57.88632353]]\n", - "Demand: [[ 2.21100000e-01 1.03290000e+00 2.01630000e+00 ... -2.52340453e+03\n", - " 4.17301335e+03 -4.35716849e+03]\n", - " [ 2.21100000e-01 1.03290000e+00 2.01630000e+00 ... -2.40611887e+03\n", - " -3.07169460e+03 3.07169460e+03]\n", - " [ 1.67500000e-01 7.82500000e-01 1.52750000e+00 ... -2.03979639e+03\n", - " 2.51403820e+03 -2.68572276e+03]\n", - " ...\n", - " [ 1.67500000e-01 7.82500000e-01 1.52750000e+00 ... 0.00000000e+00\n", - " 0.00000000e+00 0.00000000e+00]\n", - " [ 1.67500000e-01 7.82500000e-01 1.52750000e+00 ... 0.00000000e+00\n", - " 0.00000000e+00 0.00000000e+00]\n", - " [ 1.40030000e-01 6.54170000e-01 1.27699000e+00 ... 0.00000000e+00\n", - " 0.00000000e+00 0.00000000e+00]]\n", - "DemandDeficit: [[0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " ...\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]]\n", - "Head: [[ 959.69827256 1110.01826902 886.15918973 ... 900.\n", - " 945. 960. ]\n", - " [ 928.7663303 1110.12354842 879.36380173 ... 894.85889244\n", - " 953.50197035 944.99759553]\n", - " [ 953.76224122 1110.15986348 881.30510658 ... 890.67363486\n", - " 948.1589953 954.02722337]\n", - " ...\n", - " [ 873.9362358 1078.00306136 825.5895527 ... 875.\n", - " 944.6185582 945. ]\n", - " [ 874.55520864 1078.68802288 826.15749629 ... 875.\n", - " 944.6185582 945. ]\n", - " [ 878.67264614 1088.48238761 829.2427719 ... 875.\n", - " 944.6185582 945. ]]\n", - "TankVolume: [[ 0. 0. 0. ... 302190.43575989\n", - " 258606.88587981 186728.8531951 ]\n", - " [ 0. 0. 0. ... 291272.18012251\n", - " 276662.66173502 167876.27572345]\n", - " [ 0. 0. 0. ... 282383.87897159\n", - " 265315.69674113 179223.24071733]\n", - " ...\n", - " [ 0. 0. 0. ... 249097.51990729\n", - " 257796.81159385 167879.2972711 ]\n", - " [ 0. 0. 0. ... 249097.51990729\n", - " 257796.81159385 167879.2972711 ]\n", - " [ 0. 0. 0. ... 249097.51990729\n", - " 257796.81159385 167879.2972711 ]]\n", - "Flow: [[-1.84155132e+02 -9.11534977e+01 3.76200000e-01 ... 4.47909000e+01\n", - " 1.83358709e+02 1.76532411e+02]\n", - " [ 0.00000000e+00 -9.04934165e+01 3.76200001e-01 ... 4.47909000e+01\n", - " 1.93539978e+02 1.80927351e+02]\n", - " [-1.71684558e+02 -8.67958103e+01 2.85000000e-01 ... 3.39325000e+01\n", - " 1.87016235e+02 1.74853829e+02]\n", - " ...\n", - " [ 0.00000000e+00 0.00000000e+00 2.85000000e-01 ... 3.39325000e+01\n", - " 3.31124196e+02 1.92216221e+02]\n", - " [ 0.00000000e+00 0.00000000e+00 2.85000001e-01 ... 3.39325000e+01\n", - " 3.30507269e+02 1.92210149e+02]\n", - " [ 0.00000000e+00 0.00000000e+00 2.38260000e-01 ... 2.83675700e+01\n", - " 3.23489960e+02 1.90999706e+02]]\n", - "Velocity: [[1.17542147e+00 2.32725044e+00 4.26880244e-03 ... 1.82969859e-05\n", - " 7.49016367e-05 7.21131086e-05]\n", - " [0.00000000e+00 2.31039783e+00 4.26880245e-03 ... 1.82969859e-05\n", - " 7.90606631e-05 7.39084321e-05]\n", - " [1.09582455e+00 2.21599382e+00 3.23394124e-03 ... 1.38613530e-05\n", - " 7.63957284e-05 7.14274115e-05]\n", - " ...\n", - " [0.00000000e+00 0.00000000e+00 3.23394124e-03 ... 1.38613530e-05\n", - " 1.35263519e-04 7.85199114e-05]\n", - " [0.00000000e+00 0.00000000e+00 3.23394126e-03 ... 1.38613530e-05\n", - " 1.35011506e-04 7.85174309e-05]\n", - " [0.00000000e+00 0.00000000e+00 2.70357487e-03 ... 1.15880911e-05\n", - " 1.32144950e-04 7.80229676e-05]]\n", - "HeadLoss: [[3.01727440e-01 8.09937360e+00 7.17849039e-05 ... 8.37190085e+01\n", - " 2.79299798e+02 7.61161980e+01]\n", - " [0.00000000e+00 7.99108714e+00 7.17849041e-05 ... 8.34368520e+01\n", - " 2.54400033e+02 6.30172413e+01]\n", - " [2.64982143e-01 7.39691992e+00 4.29269667e-05 ... 8.33018170e+01\n", - " 2.71003780e+02 7.41800459e+01]\n", - " ...\n", - " [0.00000000e+00 0.00000000e+00 4.29269667e-05 ... 7.59516504e+01\n", - " 1.57996838e+01 4.28259682e-07]\n", - " [0.00000000e+00 0.00000000e+00 4.29269671e-05 ... 7.65016388e+01\n", - " 1.71948778e+01 4.28246153e-07]\n", - " [0.00000000e+00 0.00000000e+00 3.08074837e-05 ... 7.73254180e+01\n", - " 2.66610556e+01 4.25549274e-07]]\n", - "Status: [[1 1 1 ... 1 1 1]\n", - " [0 1 1 ... 1 1 1]\n", - " [1 1 1 ... 1 1 1]\n", - " ...\n", - " [0 0 1 ... 1 1 1]\n", - " [0 0 1 ... 1 1 1]\n", - " [0 0 1 ... 1 1 1]]\n", - "StatusStr: [['OPEN' 'OPEN' 'OPEN' ... 'OPEN' 'OPEN' 'OPEN']\n", - " ['CLOSED' 'OPEN' 'OPEN' ... 'OPEN' 'OPEN' 'OPEN']\n", - " ['OPEN' 'OPEN' 'OPEN' ... 'OPEN' 'OPEN' 'OPEN']\n", - " ...\n", - " ['CLOSED' 'CLOSED' 'OPEN' ... 'OPEN' 'OPEN' 'OPEN']\n", - " ['CLOSED' 'CLOSED' 'OPEN' ... 'OPEN' 'OPEN' 'OPEN']\n", - " ['CLOSED' 'CLOSED' 'OPEN' ... 'OPEN' 'OPEN' 'OPEN']]\n", - "Setting: [[150. 150. 150. ... 39.99 139.99 150. ]\n", - " [150. 150. 150. ... 39.99 139.99 150. ]\n", - " [150. 150. 150. ... 39.99 139.99 150. ]\n", - " ...\n", - " [150. 150. 150. ... 39.99 139.99 150. ]\n", - " [150. 150. 150. ... 39.99 139.99 150. ]\n", - " [150. 150. 150. ... 39.99 139.99 150. ]]\n", - "Energy: [[1.04738629e-02 1.39165961e-01 5.09049677e-09 ... 7.06841625e-01\n", - " 9.65340253e+00 2.53285187e+00]\n", - " [0.00000000e+00 1.36311063e-01 5.09049680e-09 ... 7.04459371e-01\n", - " 9.28102842e+00 2.14917541e+00]\n", - " [8.57543373e-03 1.21020218e-01 2.30612749e-09 ... 5.32817627e-01\n", - " 9.55350886e+00 2.44495289e+00]\n", - " ...\n", - " [0.00000000e+00 0.00000000e+00 2.30612749e-09 ... 4.85804267e-01\n", - " 9.86160414e-01 1.55169184e-08]\n", - " [0.00000000e+00 0.00000000e+00 2.30612753e-09 ... 4.89322119e-01\n", - " 1.07124390e+00 1.55159381e-08]\n", - " [0.00000000e+00 0.00000000e+00 1.38361613e-09 ... 4.13478244e-01\n", - " 1.62572243e+00 1.53211303e-08]]\n", - "Efficiency: [[0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " ...\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]]\n", - "State: [[3 3 3 ... 3 3 2]\n", - " [3 3 3 ... 3 3 2]\n", - " [3 3 3 ... 3 3 2]\n", - " ...\n", - " [3 3 3 ... 3 3 3]\n", - " [3 3 3 ... 3 3 3]\n", - " [3 3 3 ... 3 3 3]]\n", - "StateStr: [['OPEN' 'OPEN' 'OPEN' ... 'OPEN' 'OPEN' 'CLOSED']\n", - " ['OPEN' 'OPEN' 'OPEN' ... 'OPEN' 'OPEN' 'CLOSED']\n", - " ['OPEN' 'OPEN' 'OPEN' ... 'OPEN' 'OPEN' 'CLOSED']\n", - " ...\n", - " ['OPEN' 'OPEN' 'OPEN' ... 'OPEN' 'OPEN' 'OPEN']\n", - " ['OPEN' 'OPEN' 'OPEN' ... 'OPEN' 'OPEN' 'OPEN']\n", - " ['OPEN' 'OPEN' 'OPEN' ... 'OPEN' 'OPEN' 'OPEN']]\n", - "Pressure: [array([105.81752434, 133.46379601, 106.69873399, 80.32773025,\n", - " 113.41805787, 114.16361717, 115.09330128, 108.72680981,\n", - " 101.00449194, 69.27792584, 115.74888288, 116.75401309,\n", - " 101.56427365, 103.73766377, 106.28426173, 107.78451962,\n", - " 94.80318628, 95.70506152, 94.23205119, 105.31211131,\n", - " 105.65718121, 104.60553498, 104.028473 , 106.87770243,\n", - " 116.06803655, 114.38904963, 103.8955252 , 82.61432956,\n", - " 56.24121245, 145.0075438 , 107.07426986, 88.52399842,\n", - " 92.82556529, 72.71040251, 110.9669775 , 78.85322127,\n", - " 98.93975513, 89.38246117, 55.25387226, 69.74904015,\n", - " 102.92346792, 105.271581 , 109.99037884, 104.65732248,\n", - " 114.23744077, 67.08022163, 107.92088202, 75.56057174,\n", - " 114.56112359, 141.57550678, 109.28734473, 109.01600047,\n", - " 108.02512562, 114.08241151, 81.0549582 , 113.46301864,\n", - " 113.27260728, 120.05499124, 95.48325578, 66.56579334,\n", - " 84.81809697, 88.21354908, 98.54032463, 98.47961863,\n", - " 90.80577661, 97.24448811, 95.25039154, 92.93433595,\n", - " 102.26112195, 384.94018986, 89.75581065, 97.59204291,\n", - " 101.77192763, 102.3039767 , 83.38587913, 97.97150682,\n", - " 49.70144907, 102.75306259, 99.59680491, 97.77993879,\n", - " 44.37512073, 111.94410854, 99.95904277, 103.16759622,\n", - " 95.55214896, 96.05943469, 103.52843202, 103.28542368,\n", - " 103.35869015, 60.33346749, 54.81504994, 107.16716619,\n", - " 88.40702838, 86.50674776, 110.17903994, 96.30059758,\n", - " 113.5884927 , 113.59819862, 64.87391989, 100.00626282,\n", - " 120.70456162, 131.93109726, 105.97733571, 116.61519431,\n", - " 109.89804307, 109.47487046, 98.79076405, 105.63671734,\n", - " 106.09868029, 102.63050549, 106.75388115, 102.46722828,\n", - " 144.91911506, 104.88186742, 93.93880185, 147.57552404,\n", - " 109.77762907, 120.49577619, 113.5559898 , 148.47109864,\n", - " 117.67729734, 100.69000917, 102.11995433, 108.48215665,\n", - " 111.71620228, 143.80947508, 89.30053202, 88.8257029 ,\n", - " 129.17519941, 127.76515996, 110.21331051, 102.76199803,\n", - " 106.0868605 , 105.79102776, 103.44813803, 105.6158146 ,\n", - " 119.23500511, 113.79736322, 112.78889513, 112.82399666,\n", - " 91.05098181, 88.94377359, 99.22374257, 107.43330736,\n", - " 103.00177737, 115.70417437, 115.6269918 , 103.44108788,\n", - " 102.11017328, 111.34614 , 108.65281673, 90.65329645,\n", - " 142.52121465, 147.15206834, 113.06298184, 102.24671602,\n", - " 97.1662156 , 97.8919063 , 111.97156011, 66.12106681,\n", - " 66.87397884, 113.37826278, 104.67447816, 100.34888561,\n", - " 108.30690933, 108.30667757, 127.85235684, 110.51171052,\n", - " 97.0792054 , 113.42363444, 103.41853589, 109.00983852,\n", - " 97.77325143, 92.02531891, 80.54285136, 113.61480831,\n", - " 114.17462545, 92.90653564, 92.81397903, 112.19572838,\n", - " 115.77349802, 102.69070632, 111.10756101, 94.21112898,\n", - " 92.00925208, 74.44235097, 102.13907458, 96.81647468,\n", - " 98.75857263, 86.38005941, 77.19893978, 107.11732994,\n", - " 69.62232952, 106.22649754, 109.48636398, 110.5199525 ,\n", - " 99.53621261, 103.6650416 , 137.83904747, 107.58316086,\n", - " 113.89743713, 145.20423825, 105.77531006, 111.32514879,\n", - " 137.38716478, 109.50213126, 109.48142249, 103.22502792,\n", - " 113.57492259, 112.4948169 , 113.03662655, 128.93211577,\n", - " 125.50766418, 127.69237277, 112.12899997, 95.25826683,\n", - " 117.58975725, 117.59048998, 124.8592365 , 124.25133417,\n", - " 102.6636294 , 73.69372566, 93.3200666 , 116.98410934,\n", - " 105.52079217, 108.66149287, 92.95262501, 92.35709734,\n", - " 103.43400462, 103.64084056, 104.61787453, 108.70286119,\n", - " 115.97791249, 114.29898878, 117.34877131, 101.50786299,\n", - " 92.93559932, 100.62051842, 112.89431039, 112.93687976,\n", - " 113.968269 , 106.61222622, 95.01384108, 109.30550249,\n", - " 104.96324573, 116.31634013, 79.09193812, 67.80128295,\n", - " 77.29672857, 94.58353891, 96.36184467, 143.1014118 ,\n", - " 110.04639414, 107.82159915, 111.01769307, 114.21165094,\n", - " 99.28166992, 114.17727543, 99.64465075, 60.70141973,\n", - " 62.21482504, 102.78445756, 94.49907284, 99.84311783,\n", - " 110.91288168, 71.7725721 , 85.80267687, 96.35625608,\n", - " 111.30152474, 128.80249051, 91.58518097, 97.29711651,\n", - " 94.79616845, 109.35701894, 109.14451787, 107.75249144,\n", - " 109.38028334, 102.69125325, 125.15233269, 122.29495899,\n", - " 90.06068314, 111.21080862, 110.91645667, 103.45800889,\n", - " 107.99875458, 86.16313191, 109.7920508 , 85.74982244,\n", - " 80.76912961, 78.98947985, 139.80711227, 105.38729181,\n", - " 71.2668766 , 73.21014076, 127.68390561, 115.81685218,\n", - " 93.5273303 , 129.07036111, 78.81546215, 97.42433493,\n", - " 103.19102317, 107.86715324, 101.41559866, 105.32900841,\n", - " 107.80848276, 104.84597423, 107.76277879, 110.64446459,\n", - " 119.83644487, 110.1238734 , 105.24397757, 111.73445143,\n", - " 83.45089838, 83.03007708, 145.46072627, 145.74275949,\n", - " 109.80678138, 81.4448895 , 85.00013307, 97.54288353,\n", - " 108.30535173, 110.0687081 , 89.82095024, 88.55634423,\n", - " 102.82365076, 101.04999724, 108.73950882, 100.80241662,\n", - " 108.27422449, 109.51793776, 109.52377543, 136.04058137,\n", - " 103.37029802, 103.98663317, 96.63774586, 94.94540604,\n", - " 142.54671101, 139.28680834, 113.54386317, 111.86101941,\n", - " 113.55610423, 98.57706302, 142.40287523, 116.24571175,\n", - " 104.37087001, 104.00251568, 109.04826555, 119.0345165 ,\n", - " 93.67792159, 69.71123159, 112.85233129, 106.77300988,\n", - " 102.9660969 , 101.08073499, 101.64997154, 107.8823853 ,\n", - " 145.3547656 , 139.94973234, 110.49876614, 101.69215477,\n", - " 104.57669768, 102.68618365, 108.77986411, 110.24376588,\n", - " 113.08832262, 133.16785699, 143.59124402, 116.84990552,\n", - " 117.2863792 , 113.40477844, 112.64605049, 109.65114612,\n", - " 101.77741697, 113.67624819, 105.61060789, 97.23001022,\n", - " 109.7570003 , 101.24968034, 83.19085202, 139.36557138,\n", - " 89.26458535, 129.82004771, 110.09848032, 110.07982491,\n", - " 108.03881778, 91.4234192 , 45.20412952, 113.59866576,\n", - " 115.57738937, 120.9150814 , 106.24704545, 106.79486218,\n", - " 104.82517438, 69.11524733, 91.02485684, 113.75606945,\n", - " 104.61551692, 78.2022497 , 117.43782125, 109.18130879,\n", - " 115.89747144, 114.36393608, 77.93691092, 117.31916572,\n", - " 79.84623541, 97.73066276, 106.75148232, 114.70952447,\n", - " 113.36578078, 102.1600319 , 102.12613495, 114.44968144,\n", - " 75.19319937, 144.46685845, 101.12504609, 68.83033303,\n", - " 109.12772907, 107.99712419, 76.74617111, 80.16231397,\n", - " 106.55590399, 110.99817344, 90.404764 , 102.96390996,\n", - " 102.9713427 , 113.07601455, 102.04959293, 108.2327007 ,\n", - " 107.06504946, 118.29714233, 105.56815861, 77.71177767,\n", - " 112.40322427, 102.82945394, 89.14706816, 112.38834056,\n", - " 102.75876678, 87.20839024, 107.67568936, 80.39605964,\n", - " 124.67333715, 126.63037613, 93.72750883, 110.47092052,\n", - " 109.31886314, 116.06950206, 69.21086582, 116.36795799,\n", - " 93.46097437, 92.88108723, 98.50127533, 109.70003905,\n", - " 64.16441265, 65.49617367, 92.54844087, 110.96079393,\n", - " 67.62802312, 64.97083766, 51.603093 , 109.66346526,\n", - " 116.56531466, 103.46441826, 94.33140225, 47.32281494,\n", - " 111.28625837, 102.41868675, 114.06395978, 103.73353318,\n", - " 102.94835588, 108.8704475 , 103.9355661 , 115.8330254 ,\n", - " 106.29817007, 95.60279595, 108.59041061, 101.66833387,\n", - " 114.10602506, 133.95293041, 105.48070509, 113.26727935,\n", - " 85.09613751, 72.15888526, 113.51678192, 107.43353023,\n", - " 111.87634647, 112.3627294 , 116.92516963, 135.05796939,\n", - " 96.85649761, 118.10690132, 118.79507561, 112.06311679,\n", - " 108.42346223, 106.57998469, 99.87089652, 83.23575041,\n", - " 83.4918875 , 107.34566939, 107.32835597, 114.92703309,\n", - " 94.79043811, 59.69909276, 59.95566825, 84.2323666 ,\n", - " 113.81515799, 112.17443259, 84.64156011, 104.62419793,\n", - " 113.4597646 , 105.65822577, 91.4654435 , 92.57890296,\n", - " 111.3240536 , 115.36845655, 115.73924703, 114.50054716,\n", - " 115.86080194, 100.08228089, 105.78909313, 113.72289681,\n", - " 104.58608182, 108.15698839, 84.48264905, 109.67046505,\n", - " 111.98366455, 108.00747898, 112.87491878, 107.58460613,\n", - " 108.36277407, 102.79195505, 139.24720755, 123.02380537,\n", - " 146.34452338, 125.46210622, 96.54682274, 95.58567588,\n", - " 103.72961984, 111.60597082, 112.71317555, 111.37963789,\n", - " 131.14406025, 112.7855672 , 117.25312182, 77.77585808,\n", - " 136.59151598, 107.02061968, 100.68452491, 86.56557443,\n", - " 112.12861739, 84.25372579, 120.84355569, 113.83049491,\n", - " 119.82594637, 108.12199846, 104.80986038, 101.44063051,\n", - " 102.60779642, 124.5755418 , 137.43995688, 109.01034722,\n", - " 113.15524237, 110.81586176, 68.21523284, 113.86518607,\n", - " 111.57740731, 104.41561625, 102.68903504, 103.35397107,\n", - " 85.1593429 , 103.87256726, 87.3013948 , 97.88202093,\n", - " 83.33460326, 93.50714643, 114.37859102, 99.39328468,\n", - " 100.14650902, 106.15756804, 106.75586866, 83.8799923 ,\n", - " 106.09806179, 100.14139234, 102.7283714 , 69.51853857,\n", - " 122.33893122, 105.07146375, 102.40673801, 104.68927292,\n", - " 139.48920063, 102.52354549, 104.11374338, 117.7531818 ,\n", - " 108.0994975 , 109.57624706, 105.27081623, 113.50767673,\n", - " 131.294635 , 99.07403003, 104.80926233, 108.37412244,\n", - " 110.19398241, 108.44792822, 99.8863243 , 99.16604857,\n", - " 103.74510641, 110.14504614, 103.28749721, 103.11164112,\n", - " 107.02587477, 96.72668464, 109.77260502, 107.49123061,\n", - " 108.36030017, 130.25542057, 74.45173611, 86.86245339,\n", - " 109.92512387, 72.68876796, 52.42419352, 76.79095957,\n", - " 112.02066966, 109.70303448, 120.3611113 , 118.12483015,\n", - " 117.29592618, 79.36577774, 103.74083464, 108.35115483,\n", - " 107.62783422, 135.55642182, 86.11911811, 148.46541447,\n", - " 109.37697809, 85.89989499, 84.15425928, 145.94911312,\n", - " 103.50172917, 105.78268546, 113.94364972, 106.35044699,\n", - " 83.24419131, 82.84818443, 109.00993413, 113.65362369,\n", - " 105.38220734, 113.99495273, 100.52775841, 133.51327437,\n", - " 106.82813898, 146.10254032, 95.79744138, 117.11657792,\n", - " 117.22677801, 106.75222625, 103.83545318, 108.30502675,\n", - " 112.73432477, 108.82794243, 107.70898566, 112.61276166,\n", - " 114.34594936, 73.53372214, 103.70589407, 110.3058775 ,\n", - " 103.57190904, 106.35889464, 66.22226259, 107.57899679,\n", - " 106.14699546, 104.29192521, 113.18091456, 107.65277556,\n", - " 88.61019102, 92.2259796 , 110.97859163, 82.79009661,\n", - " 98.94758799, 121.61541393, 106.60070112, 107.27507888,\n", - " 102.72303493, 102.72299348, 108.30674345, 106.76679508,\n", - " 106.48475775, 116.65118336, 116.05396597, 83.09391047,\n", - " 77.6475364 , 114.39386856, 113.22899313, 65.89774463,\n", - " 93.756506 , 111.55873806, 102.91266753, 70.69964029,\n", - " 120.31040876, 86.09795039, 102.21607719, 99.43855494,\n", - " 108.75342126, 76.87028409, 83.47359297, 111.0351436 ,\n", - " 91.82160127, 107.02322723, 104.14940855, 70.46192645,\n", - " 104.59621841, 95.6969657 , 114.38689356, 103.8747588 ,\n", - " 102.19469495, 97.48688217, 127.94908936, 54.60810344,\n", - " 79.86023562, 116.0385322 , 86.051385 , 89.02288781,\n", - " 79.5550584 , 95.92902643, 73.83804273, 89.30932946,\n", - " 125.43653412, 82.03762445, 84.38404432, 84.8877601 ,\n", - " 105.85919928, 99.48279101, 67.9234163 , 91.23792092,\n", - " 114.25279952, 80.43096175, 76.22662602, 99.9769782 ,\n", - " 106.70512648, 105.67244259, 103.69715069, 92.3732693 ,\n", - " 117.30284387, 111.87211 , 103.10430706, 62.69197234,\n", - " 119.39845639, 103.53892185, 106.35763662, 106.60741887,\n", - " 75.31057371, 110.48918901, 100.76100992, 99.9161819 ,\n", - " 78.40620574, 106.37119544, 147.80931525, 103.71037892,\n", - " 86.96339641, 104.55344717, 111.64646122, 107.20052612,\n", - " 73.52012889, 90.20495455, 85.64834777, 102.0702105 ,\n", - " 110.41881677, 89.81119046, 102.36490473, 104.22481115,\n", - " 111.14232344, 78.08300644, 105.93784585, 103.86415826,\n", - " 119.17382451, 107.04517795, 51.01326297, 105.62015329,\n", - " 117.2543947 , 65.68306258, 88.52938216, 108.1261933 ,\n", - " 103.96482067, 106.74394787, 84.8060918 , 104.57894298,\n", - " 71.49485773, 104.79545236, 102.85411237, 87.56787886,\n", - " 107.50314904, 90.97724316, 109.0076988 , 69.05713108,\n", - " 93.77566076, 80.50247482, 82.7063181 , 104.00736568,\n", - " 51.63675062, 83.39996574, 103.8827519 , 72.03041659,\n", - " 109.51757341, 109.77769758, 110.74264655, 106.09250871,\n", - " 93.46097257, 108.30515372, 88.84188773, 108.47545953,\n", - " 102.1810962 , 121.76851067, 104.90854743, 106.97758397,\n", - " 103.40530878, 99.34555164, 105.44596106, 103.16225342,\n", - " 101.48324571, 108.59167561, 100.10761826, 147.02335486,\n", - " 147.94324685, 68.2332874 , 99.33497049, 135.52449065,\n", - " 117.3820868 , 105.50529993, 117.29592613, 100.34628353,\n", - " 65.44709428, 146.41666926, 97.65382092, 68.77973866,\n", - " 104.65528245, 80.16512976, 107.70716574, 98.41884846,\n", - " 112.9329187 , 108.59364078, 132.15058933, 108.27593456,\n", - " 101.46973704, 96.40258152, 106.84857756, 112.92820212,\n", - " 87.78734896, 81.28531571, 124.42314786, 100.48365937,\n", - " 120.06332088, 87.80951778, 101.81526517, 102.5670962 ,\n", - " 109.61867977, 99.69310133, 107.01561054, 107.04854106,\n", - " 108.06515317, 114.73346529, 104.54371928, 117.44802069,\n", - " 82.79568418, 138.38100316, 112.05549456, 93.94428585,\n", - " 86.51865395, 105.82796904, 98.87528875, 52.07515961,\n", - " 110.35819094, 133.70383264, 104.00088471, 102.69498008,\n", - " 92.5468308 , 107.10755973, 108.59608786, 94.77883548,\n", - " 107.86621945, 62.76345419, 110.95015204, 111.67591009,\n", - " 65.02087672, 73.84033703, 107.47078615, 109.24964304,\n", - " -1.6634491 , 85.39832158, 74.33567091, 160.32057251,\n", - " 102.59993443, -0.43018829, -0.79414017, 110.05622658,\n", - " 82.21365498, 101.10389344, 120.10442647, 31.44830044,\n", - " 39.88899569, 129.96943119, 80. , 39.99 ,\n", - " 261.01060246, 150. , 1.72776122, 182.49852248,\n", - " 261.30614674, 100.58015535, 164.71727426, 114.36560088,\n", - " 113.56645947, -0.45729186, 169.21911867, 58.5892715 ,\n", - " 79.61554726, 171.68788398, 122.07500427, 128.42873047,\n", - " 103.20329205, 76.26544638, 139.99 , 182.98114858,\n", - " 0. , 0. , 60.99841412, 77.62920473,\n", - " 44.027613 , 68.61829793, 30.5399026 , 35.81955477,\n", - " 29.37517053, 36.66153467, 58.21944457, 44.50705945,\n", - " 61.65564356, 52.76333097, 64.38582353]), array([ 92.41471376, 133.50941357, 103.75429237, 77.38328863,\n", - " 112.2017279 , 112.84233017, 113.77492874, 107.98377069,\n", - " 98.84278296, 67.07011534, 113.79575747, 114.81220906,\n", - " 100.3440136 , 102.93974349, 105.09883484, 106.59909274,\n", - " 91.99800487, 93.59006182, 92.90721481, 103.98727492,\n", - " 104.90913149, 103.86976419, 102.83968896, 106.91906619,\n", - " 114.12904858, 112.52212753, 102.7056041 , 82.81880785,\n", - " 56.44569074, 145.0314822 , 106.77764884, 88.45919199,\n", - " 92.75721913, 70.83327758, 108.3407245 , 76.97609365,\n", - " 97.06267746, 87.5053835 , 53.37675791, 67.87191927,\n", - " 101.25603807, 103.60415115, 107.34527237, 101.3000787 ,\n", - " 113.02783921, 66.95796321, 107.8775496 , 75.83862899,\n", - " 113.31070381, 141.62112434, 108.5103688 , 108.13288951,\n", - " 106.81535097, 112.87278146, 79.38752835, 111.79558878,\n", - " 111.60517743, 120.46205708, 95.32799824, 66.97285918,\n", - " 84.64263986, 87.64147893, 98.62792303, 98.56721703,\n", - " 88.92863519, 95.36734668, 95.29175531, 92.97569971,\n", - " 100.38392499, 382.50805203, 87.87865998, 95.71496525,\n", - " 101.46238012, 101.99442919, 83.3949919 , 97.92817439,\n", - " 49.65811665, 102.67383298, 99.52040692, 97.8675372 ,\n", - " 45.0299892 , 112.35117952, 100.36611375, 103.44565347,\n", - " 95.35900009, 95.82425786, 101.65122758, 103.15423608,\n", - " 103.23228993, 58.45637115, 52.93794061, 107.20852996,\n", - " 86.52987883, 84.62960634, 110.58611078, 96.70766842,\n", - " 112.37886266, 112.38856858, 64.90642474, 100.03876767,\n", - " 121.1116477 , 131.93109726, 105.48028174, 116.61519431,\n", - " 107.84895762, 107.42202574, 98.87836246, 105.49475871,\n", - " 105.38910361, 101.94387101, 106.57866514, 102.29201227,\n", - " 144.91911506, 98.5028751 , 87.55980953, 147.57552404,\n", - " 109.60241306, 120.58895415, 113.64916776, 148.47109864,\n", - " 117.67729734, 92.20618198, 93.75031078, 101.17300027,\n", - " 104.40704589, 143.83341348, 89.80685111, 89.33202199,\n", - " 122.81640414, 121.72703434, 108.54588066, 101.09456818,\n", - " 105.93766585, 105.64329991, 103.53573644, 105.703413 ,\n", - " 106.58095189, 112.12993337, 111.56306215, 111.5928975 ,\n", - " 91.1614579 , 89.05424968, 99.31134098, 107.52090576,\n", - " 102.87597807, 113.8565893 , 113.79037146, 90.78703466,\n", - " 102.15153704, 111.6973868 , 108.6941805 , 88.21293076,\n", - " 142.52121465, 147.1976859 , 113.71785031, 102.07150001,\n", - " 96.94004889, 97.65812179, 110.10463801, 63.79794717,\n", - " 64.51447725, 112.13361064, 104.76207657, 100.43648402,\n", - " 108.39450774, 108.39427598, 128.20045315, 110.83111355,\n", - " 96.85518422, 111.55671234, 100.94770187, 106.53900449,\n", - " 97.55643466, 90.14823926, 78.66577171, 112.34534873,\n", - " 112.93459593, 91.0294565 , 90.93689975, 110.62138607,\n", - " 113.90657593, 100.17913037, 108.5746058 , 94.04841026,\n", - " 91.85901506, 72.14575841, 98.94378655, 93.62118665,\n", - " 95.80638058, 83.42786736, 76.0417549 , 105.72670282,\n", - " 68.46514464, 105.92298358, 109.18979414, 109.77691338,\n", - " 99.47325104, 103.60208003, 137.83114 , 106.37347837,\n", - " 112.66680717, 145.24985582, 104.17615107, 108.69418753,\n", - " 137.46947006, 107.48160415, 107.45400789, 99.9071107 ,\n", - " 110.31929143, 111.27261579, 111.81467425, 123.32731493,\n", - " 119.62922569, 127.4183081 , 108.75278969, 91.88205655,\n", - " 115.63632497, 115.63725015, 119.52653901, 118.8814573 ,\n", - " 100.0364337 , 71.06652997, 91.44298706, 116.98410934,\n", - " 102.32550414, 106.41063312, 91.07554534, 90.48001759,\n", - " 101.556755 , 101.12926462, 104.6592383 , 108.73536603,\n", - " 115.97791249, 114.29898878, 114.72530374, 100.663244 ,\n", - " 90.08193722, 99.87395223, 110.94169415, 113.59174823,\n", - " 112.69415486, 106.38091912, 94.78253398, 108.56044316,\n", - " 104.50403994, 116.31634013, 76.1474965 , 64.94762085,\n", - " 74.35228695, 94.86596921, 96.10781353, 143.12535021,\n", - " 110.45347876, 104.85072015, 109.80372274, 112.98581796,\n", - " 99.00193208, 112.3132917 , 99.3649129 , 60.90589802,\n", - " 62.41930333, 102.48783654, 94.20245182, 97.7239036 ,\n", - " 108.90624494, 68.82813048, 85.84404063, 96.39761984,\n", - " 110.25447899, 128.82642891, 90.42799608, 96.13993162,\n", - " 94.63414723, 109.44461735, 109.23211628, 105.27700968,\n", - " 107.35108345, 100.20729412, 118.79353742, 115.93616371,\n", - " 87.10849109, 108.78214614, 108.48786166, 103.34176591,\n", - " 107.8825116 , 85.93182482, 107.74454558, 85.51851535,\n", - " 78.89199518, 77.11234542, 139.97800354, 105.78414946,\n", - " 70.10969172, 72.05295588, 127.3872846 , 115.52023116,\n", - " 91.05184854, 129.4774472 , 76.33998038, 85.01003817,\n", - " 103.13147073, 107.80760079, 99.36690739, 105.09770132,\n", - " 107.57717567, 104.93357264, 107.8503772 , 109.43846136,\n", - " 120.24353095, 108.92162709, 103.91963855, 110.5096077 ,\n", - " 82.2937135 , 81.87289219, 145.35250714, 145.63179466,\n", - " 108.61717711, 78.96940773, 85.20461136, 96.38569865,\n", - " 108.39295014, 108.01586339, 81.38810179, 80.61582602,\n", - " 101.15622091, 101.13759565, 106.69359018, 100.94535253,\n", - " 107.08984652, 108.32379807, 108.32974515, 136.04058137,\n", - " 102.21311313, 102.80919688, 94.76066767, 93.06832785,\n", - " 142.54671101, 139.28680834, 112.30358386, 109.81510077,\n", - " 114.2109727 , 99.23193149, 142.40287523, 116.24571175,\n", - " 103.55504878, 103.19687817, 107.99972577, 112.99639089,\n", - " 93.63458917, 69.66789916, 110.57516563, 106.30274357,\n", - " 97.08765841, 100.34863495, 101.06600579, 106.67263444,\n", - " 145.3547656 , 139.94973234, 109.56853876, 100.53496989,\n", - " 103.75464072, 101.90033731, 107.99734458, 109.04298395,\n", - " 111.89037765, 132.87123597, 143.294623 , 114.28635189,\n", - " 114.67538363, 112.01925753, 111.26232275, 108.45027396,\n", - " 101.00697866, 111.79891636, 102.65841583, 97.1866778 ,\n", - " 107.88557856, 99.37264082, 83.19085202, 139.36557138,\n", - " 89.10074265, 123.46125244, 107.15108841, 109.30895367,\n", - " 101.65982546, 85.04442688, 45.16079709, 107.27723384,\n", - " 111.62007084, 120.9150814 , 106.03877819, 106.5817159 ,\n", - " 102.57431463, 66.16785542, 88.77399709, 111.88914735,\n", - " 102.74859482, 78.70856879, 117.94414034, 109.12175634,\n", - " 113.94422405, 112.41068869, 75.77520194, 114.70273279,\n", - " 80.0507137 , 98.38553122, 106.29675034, 113.39519494,\n", - " 110.21876282, 101.27236012, 101.23859214, 108.8448806 ,\n", - " 73.31611972, 144.51247601, 98.64956433, 69.03481132,\n", - " 109.08362268, 107.92877763, 75.89467643, 79.39591129,\n", - " 104.44604263, 109.67691967, 90.30062649, 102.0744511 ,\n", - " 102.08324448, 111.12410934, 100.86212189, 107.13733578,\n", - " 106.02376422, 118.70422842, 105.52482618, 77.66844525,\n", - " 111.02740392, 96.45046162, 80.5172546 , 111.17458131,\n", - " 99.56347875, 86.02076919, 107.76328776, 77.31110874,\n", - " 124.7665151 , 126.72355409, 93.83798492, 108.39555566,\n", - " 107.27285596, 113.43065851, 70.27863822, 113.72911444,\n", - " 93.39475069, 92.81486356, 97.79012557, 109.87093032,\n", - " 60.99371022, 62.32547124, 90.43344117, 110.03056655,\n", - " 68.69579553, 62.02639604, 51.80757128, 109.75106367,\n", - " 114.00227934, 103.35702617, 94.41589478, 47.40730748,\n", - " 109.9535707 , 101.01433358, 112.83918809, 102.14611162,\n", - " 102.67071747, 107.68800072, 102.78003801, 113.87978563,\n", - " 99.91917776, 89.22380363, 107.8420358 , 101.09818793,\n", - " 112.88222716, 134.4592495 , 102.66010399, 110.44667824,\n", - " 81.13881899, 68.20156674, 112.27650261, 107.30234262,\n", - " 110.586992 , 111.07337492, 110.18406877, 135.10358695,\n", - " 96.55716094, 111.43875477, 112.12692907, 112.41440118,\n", - " 108.51112195, 106.66764441, 96.7001941 , 76.85675809,\n", - " 77.11289518, 106.04573157, 105.28243732, 113.63767862,\n", - " 94.62865528, 57.82200309, 58.0785733 , 82.35523218,\n", - " 112.61713894, 110.97627666, 84.67406496, 104.6420504 ,\n", - " 112.2501573 , 105.67607824, 91.48329598, 90.70182333,\n", - " 109.39884996, 113.44367273, 113.81324435, 112.9450319 ,\n", - " 114.02928802, 100.16987929, 105.78909313, 112.52038581,\n", - " 102.46110677, 108.81185686, 83.91057889, 108.28056207,\n", - " 110.40076088, 108.04884275, 110.96093703, 107.13811347,\n", - " 108.44960416, 101.99356063, 139.16902034, 123.11698332,\n", - " 146.34452338, 125.46210622, 96.63014145, 95.66927239,\n", - " 101.29764268, 110.39205459, 111.48780755, 110.16570987,\n", - " 131.55114592, 111.56028677, 114.64764308, 77.20378792,\n", - " 136.29489496, 104.96872315, 99.95113104, 86.84850619,\n", - " 108.86670905, 77.93229386, 120.84355569, 110.883103 ,\n", - " 115.49899999, 100.00886453, 101.49194317, 100.25267632,\n", - " 101.41989227, 120.07791502, 137.8470086 , 108.23389209,\n", - " 111.27339495, 107.86846985, 66.01202737, 110.6168648 ,\n", - " 110.23755642, 103.04647138, 99.52447518, 96.97497876,\n", - " 78.78035058, 102.68649228, 87.38899321, 97.58539991,\n", - " 84.0484937 , 93.40291776, 111.73974748, 99.26748538,\n", - " 100.02070972, 106.09801559, 106.69631621, 83.58337129,\n", - " 106.04067795, 100.0840085 , 100.11367654, 70.23242902,\n", - " 122.23071209, 104.96324462, 99.21144998, 104.6459405 ,\n", - " 139.58237859, 101.07668967, 102.78006177, 114.44397246,\n", - " 104.79028816, 108.36661702, 102.42633555, 112.29804669,\n", - " 131.18641586, 98.98203383, 104.59288397, 106.32820379,\n", - " 108.14806377, 106.36722175, 99.6550172 , 98.93474148,\n", - " 100.54981838, 109.35892635, 100.09220918, 102.99512112,\n", - " 107.11347318, 96.81117724, 107.90241461, 105.44531196,\n", - " 106.31438152, 124.98802719, 75.13702341, 87.1712098 ,\n", - " 109.01720203, 73.43605553, 53.17148109, 77.50248595,\n", - " 110.37424448, 108.05660931, 120.06449028, 118.77969862,\n", - " 114.68334648, 78.59937506, 102.90455971, 105.80490942,\n", - " 107.6456867 , 135.55642182, 86.07578568, 148.46541447,\n", - " 109.78406376, 84.7427101 , 82.99707439, 145.94911312,\n", - " 102.66857305, 104.1152556 , 113.6470287 , 106.05382598,\n", - " 76.86519899, 76.46919211, 108.9666017 , 111.22496121,\n", - " 104.04421782, 112.12638458, 100.67069432, 133.920359 ,\n", - " 106.91573739, 146.10254032, 92.54054833, 114.53375749,\n", - " 114.62566992, 106.53907973, 102.50102778, 108.39262515,\n", - " 111.52032727, 106.78202378, 106.49929466, 110.50453612,\n", - " 113.15277765, 74.24360344, 101.2741128 , 107.87703733,\n", - " 101.44658519, 104.23357079, 66.42674087, 105.96359173,\n", - " 104.73739937, 103.10227478, 111.97072695, 107.74037397,\n", - " 81.30103464, 90.17408307, 111.6334601 , 76.41110429,\n", - " 94.62064161, 115.98583187, 104.65127947, 101.64549682,\n", - " 100.10834007, 100.10829862, 108.39434185, 104.88642773,\n", - " 104.38923273, 114.08596382, 113.48874643, 81.90625897,\n", - " 76.45988489, 112.51651073, 111.85977416, 66.96551704,\n", - " 85.27267881, 110.34634577, 102.78262573, 71.45177855,\n", - " 120.31040876, 85.9880134 , 102.00011702, 97.77112509,\n", - " 108.54027498, 76.91164785, 80.66841155, 110.73852258,\n", - " 88.50368405, 105.99289146, 103.21401847, 67.84723159,\n", - " 104.37984004, 94.02953585, 114.38689356, 103.81179722,\n", - " 100.79260664, 97.57448057, 127.94908936, 54.69195625,\n", - " 77.9831012 , 112.84852284, 79.67239268, 88.72626679,\n", - " 76.29315007, 95.885694 , 73.79471031, 89.24310579,\n", - " 125.43653412, 82.18056036, 83.22685943, 84.59113908,\n", - " 104.28696926, 100.13765948, 68.99118871, 85.90522343,\n", - " 112.38447602, 79.27377686, 76.9381524 , 100.63184667,\n", - " 106.49197996, 105.45929606, 102.50680175, 90.70583945,\n", - " 114.68911713, 109.82619135, 102.99569843, 60.81489269,\n", - " 119.29023726, 103.94599253, 104.31171797, 104.56150022,\n", - " 75.45350963, 109.43877097, 101.267329 , 99.68487481,\n", - " 78.81327592, 106.15804892, 147.80931525, 102.52975384,\n", - " 85.08631133, 102.02049197, 110.59386733, 107.09230699,\n", - " 72.66863421, 88.15626328, 85.07627761, 99.93018112,\n", - " 108.38961688, 90.21826099, 102.13112023, 103.03988927,\n", - " 104.65424726, 78.28748473, 105.64122483, 102.70863017,\n", - " 118.49020389, 104.9992593 , 51.72478935, 103.73978593,\n", - " 115.30110208, 63.54303319, 81.22022578, 106.06052693,\n", - " 102.38959955, 104.69802922, 82.92895738, 104.66654138,\n", - " 72.1497262 , 102.67047732, 101.67126722, 87.45796861,\n", - " 107.26936454, 88.82212968, 106.94203244, 68.20563641,\n", - " 93.47903974, 80.39253783, 83.21263719, 103.69781817,\n", - " 51.8412289 , 81.13107702, 101.37117595, 68.86585672,\n", - " 108.32348241, 109.60247088, 109.45329208, 105.50854296,\n", - " 93.3947489 , 108.39275212, 80.47224418, 108.56312027,\n", - " 99.66952026, 122.42337914, 104.99614583, 103.84747386,\n", - " 100.97359411, 99.38691541, 103.01382323, 100.73011559,\n", - " 98.28795768, 106.24591495, 97.76185759, 147.06897243,\n", - " 147.94324685, 67.38179273, 99.4225689 , 135.44630344,\n", - " 117.3820868 , 102.31001189, 114.68334642, 100.43406724,\n", - " 64.2899094 , 146.46228683, 97.69518469, 69.28605774,\n", - " 103.76463878, 77.68964799, 105.34720675, 97.64997322,\n", - " 111.01986583, 108.54953439, 132.15058933, 108.1920933 ,\n", - " 98.27444901, 96.44394529, 104.76212894, 110.65103646,\n", - " 87.67741197, 81.17537872, 124.83021637, 99.67335984,\n", - " 120.06332088, 87.72630542, 100.63782887, 101.37919205,\n", - " 107.19008476, 99.78076105, 104.376767 , 104.40969751,\n", - " 107.94891019, 111.62062169, 103.68743836, 115.4946898 ,\n", - " 82.56437708, 138.47418112, 109.62689955, 92.06720819,\n", - " 84.64157628, 103.18286257, 98.57866774, 52.73002808,\n", - " 109.39069342, 133.7970106 , 101.56910344, 102.0083456 ,\n", - " 90.50091215, 105.06164108, 106.55016921, 94.86332801,\n", - " 106.97842161, 62.80481795, 109.10237618, 110.62328859,\n", - " 64.8986183 , 74.90810943, 105.41888962, 107.19774651,\n", - " -1.6634491 , 82.10877307, 73.41338919, 159.78034866,\n", - " 99.99229425, -0.43023725, -0.79418752, 109.76016244,\n", - " 79.2202727 , 94.98191653, 107.49865804, 30.91918659,\n", - " 39.93035945, 130.3764997 , 80. , 39.99 ,\n", - " 250.22153437, 150. , 1.72776122, 176.85029492,\n", - " 250.54818794, 95.38197797, 164.03365364, 113.11611136,\n", - " 112.3735277 , -0.4573371 , 169.29287352, 50.28510864,\n", - " 70.49848209, 171.9716615 , 121.95274585, 128.83581656,\n", - " 102.70623808, 76.14318795, 139.99 , 177.30537064,\n", - " 0. , 0. , 61.29983351, 77.4547683 ,\n", - " 44.58157151, 68.67182416, 31.20802332, 36.92223456,\n", - " 28.83119604, 36.53927624, 58.30725577, 46.44462003,\n", - " 59.42800166, 56.44723472, 57.88528167]), array([103.24544196, 133.52514889, 104.59545976, 78.22655397,\n", - " 111.75934115, 112.31801859, 113.25324029, 107.92216461,\n", - " 97.16953342, 65.31335959, 112.96515817, 114.06877017,\n", - " 102.02360707, 102.82590492, 104.68202122, 106.18227912,\n", - " 93.66580801, 94.29520229, 92.38135638, 103.46141014,\n", - " 104.84850942, 103.81448424, 102.42025966, 107.01487262,\n", - " 113.74305643, 112.16487375, 102.28528961, 83.45078907,\n", - " 57.08356329, 145.30687732, 107.09540436, 88.97818634,\n", - " 93.27506419, 70.47590332, 108.06576992, 76.61871798,\n", - " 96.71257572, 87.15531493, 53.01938863, 67.51454704,\n", - " 101.32164362, 103.66976727, 107.10633723, 102.05281716,\n", - " 112.59202121, 66.85498265, 107.95317866, 76.12161451,\n", - " 112.84917639, 141.64036563, 108.41796839, 107.9809236 ,\n", - " 106.37970149, 112.43699669, 79.45342549, 111.8606524 ,\n", - " 111.67028366, 122.39570348, 95.22665288, 68.90687249,\n", - " 85.12249067, 88.40039121, 98.78553682, 98.72568462,\n", - " 88.57125092, 95.0101352 , 95.39618755, 93.08479236,\n", - " 100.02649297, 382.36056555, 87.52126641, 95.35760755,\n", - " 101.47038776, 102.00243683, 83.93985405, 98.0039886 ,\n", - " 49.73395006, 102.73165084, 99.5796633 , 98.02537247,\n", - " 45.75864951, 114.42256475, 102.43751148, 103.72868793,\n", - " 95.80098084, 96.22091622, 101.29378918, 103.20308869,\n", - " 103.28204949, 58.09900785, 52.58057326, 107.30431118,\n", - " 86.17248638, 84.2722219 , 112.65205247, 98.77361681,\n", - " 111.94307794, 111.95278386, 65.0010737 , 100.13338624,\n", - " 123.78327846, 132.87840959, 105.27667436, 117.56263038,\n", - " 106.5602575 , 106.12812829, 99.03634525, 105.54150929,\n", - " 105.2849548 , 101.84642101, 106.61881374, 102.33220213,\n", - " 145.75028605, 104.29543858, 93.35153184, 148.46868087,\n", - " 109.64255876, 121.13394558, 114.19418073, 149.23776468,\n", - " 118.57050914, 99.60049927, 101.06430276, 107.71436387,\n", - " 110.94552557, 144.10063682, 91.47239018, 90.99765578,\n", - " 128.7365576 , 127.45533239, 108.6107881 , 101.16014787,\n", - " 105.98299704, 105.68892253, 103.69821106, 105.86330695,\n", - " 116.66468244, 112.19352966, 111.11226403, 111.13677671,\n", - " 91.55805552, 89.45249553, 99.38988345, 107.66642272,\n", - " 102.92612607, 112.87582842, 112.77709849, 100.8707661 ,\n", - " 102.2468621 , 112.20619769, 108.78971992, 88.06932768,\n", - " 143.38453084, 147.47652493, 115.21861355, 102.11198836,\n", - " 96.96894185, 97.6851798 , 109.74741056, 62.61966887,\n", - " 63.4449047 , 111.66436668, 104.839994 , 100.51823441,\n", - " 108.54168652, 108.54154793, 128.71407327, 111.35186385,\n", - " 96.88458207, 111.19948514, 100.8184793 , 106.40978216,\n", - " 97.58748766, 89.79087941, 78.30841892, 111.86436209,\n", - " 112.47789527, 90.67209022, 90.57953513, 110.54620571,\n", - " 113.54935234, 100.03154557, 108.4079369 , 94.51972239,\n", - " 92.33735063, 70.88821134, 100.05342554, 94.73108131,\n", - " 96.17760196, 83.79908827, 75.64799193, 105.11758675,\n", - " 68.0698715 , 105.93263729, 109.20134048, 109.71533518,\n", - " 99.53924723, 103.66807624, 137.90491489, 105.93792139,\n", - " 112.21662056, 145.52788282, 103.33071835, 108.43322841,\n", - " 138.01385603, 106.27854907, 106.23093596, 100.63536757,\n", - " 111.00867336, 110.82822624, 111.37046979, 128.72802372,\n", - " 125.24529292, 127.59032764, 111.19578641, 94.42612753,\n", - " 114.80630547, 114.8068676 , 124.67753248, 124.06163982,\n", - " 100.95980203, 71.99085059, 91.08562549, 117.81598703,\n", - " 103.43518424, 107.19903924, 90.7181852 , 90.12265761,\n", - " 101.19928681, 100.98168222, 104.75201165, 108.82703784,\n", - " 116.9184269 , 115.2383078 , 114.47722479, 100.50095559,\n", - " 90.93502734, 99.78333949, 109.93593778, 115.08384159,\n", - " 112.20930063, 106.61113837, 95.01283392, 108.49485474,\n", - " 104.60485829, 117.25891921, 76.99077009, 65.80090791,\n", - " 75.19556228, 95.38511794, 96.31269254, 143.40074612,\n", - " 112.98564857, 105.68666706, 109.36314342, 112.5353795 ,\n", - " 99.20705355, 111.95719454, 99.57001478, 61.54572535,\n", - " 63.05914068, 102.80676408, 94.52149946, 96.31880149,\n", - " 107.65113763, 69.67226527, 85.94038985, 96.49391905,\n", - " 110.06367987, 129.10169403, 90.03270511, 95.74464 ,\n", - " 95.1055522 , 109.60400394, 109.39150719, 104.55388242,\n", - " 106.12260895, 100.08423964, 124.71443166, 121.8601318 ,\n", - " 87.47971191, 108.63308175, 108.33876628, 103.39339232,\n", - " 107.93618474, 86.16208725, 106.46063353, 85.74884127,\n", - " 78.53461578, 76.75496602, 140.35774333, 106.24355991,\n", - " 69.71440106, 71.65766509, 127.69506663, 115.83632457,\n", - " 90.32874224, 132.03817592, 75.61721841, 94.9727021 ,\n", - " 103.19913131, 107.87526146, 99.97811967, 105.32792051,\n", - " 107.80739415, 105.0113872 , 107.92991531, 109.00458573,\n", - " 122.91244444, 108.49089424, 103.39444255, 110.06340365,\n", - " 81.89843392, 81.47761276, 146.0619507 , 146.34181373,\n", - " 108.19684315, 78.24630155, 85.82955117, 95.99040732,\n", - " 108.54075508, 106.72196594, 87.25610509, 85.98789597,\n", - " 101.22182037, 101.29228346, 105.41957341, 101.38920663,\n", - " 106.6742711 , 107.90006693, 107.90609384, 136.97767674,\n", - " 101.81780193, 102.39851311, 94.40330943, 92.71096961,\n", - " 143.41078627, 140.15092384, 111.83842601, 108.54109443,\n", - " 115.66316118, 100.68460377, 143.34428246, 117.18783813,\n", - " 103.43269566, 103.07936961, 107.71204243, 118.72533146,\n", - " 93.71042703, 69.74373719, 110.35319904, 106.397499 ,\n", - " 102.70383071, 100.26927848, 101.07821661, 106.23701058,\n", - " 146.27656284, 140.85252786, 109.39385634, 100.13966499,\n", - " 103.62931968, 101.79223868, 107.9006475 , 108.61346353,\n", - " 111.46368192, 133.14443348, 143.56950657, 114.09225454,\n", - " 114.43857868, 111.41547219, 110.6602621 , 108.02068133,\n", - " 100.90688384, 111.44139347, 103.02963626, 97.26250553,\n", - " 107.52882499, 99.01528174, 83.22177561, 139.3966447 ,\n", - " 89.57189793, 129.38148847, 107.99216758, 109.22112586,\n", - " 107.43271768, 90.82938643, 45.23663541, 112.99116165,\n", - " 114.73785335, 120.93344402, 106.07177785, 106.61371592,\n", - " 103.38575268, 67.01575709, 89.58720081, 111.53191724,\n", - " 102.39136566, 80.37797329, 119.6151836 , 109.18941701,\n", - " 113.11385576, 111.5803204 , 74.10240084, 114.46101515,\n", - " 80.68849559, 99.21604927, 106.4001683 , 112.8771336 ,\n", - " 110.99636877, 101.07921579, 101.04550323, 114.24772728,\n", - " 72.958767 , 144.79081248, 97.92645121, 69.67426 ,\n", - " 109.14382255, 107.98736596, 76.84420307, 80.28815583,\n", - " 103.05843805, 109.15240704, 90.8019235 , 101.8805354 ,\n", - " 101.88991643, 110.18065283, 100.44374145, 106.79811532,\n", - " 105.73085962, 121.37337007, 105.60048649, 77.74410578,\n", - " 110.43318518, 102.24302565, 88.01362604, 110.73420468,\n", - " 100.67301864, 85.60230476, 107.83521226, 78.73691795,\n", - " 125.3070879 , 127.26348391, 94.23648538, 106.8748496 ,\n", - " 105.81742512, 113.18197955, 71.1877656 , 113.48043593,\n", - " 93.91367175, 93.33378532, 97.7206701 , 110.25067118,\n", - " 61.95004841, 63.28218723, 91.14251301, 109.85588413,\n", - " 69.60493943, 62.87016813, 52.45639614, 109.91028683,\n", - " 113.80864777, 103.41016709, 94.48247922, 47.47389203,\n", - " 109.41520278, 100.38454363, 112.38955756, 101.31369395,\n", - " 102.68697307, 107.27326671, 102.38593812, 113.04940297,\n", - " 105.71081069, 95.01242855, 107.76535937, 101.11893217,\n", - " 112.43374121, 135.97862247, 103.50314674, 111.28972102,\n", - " 84.25779673, 71.32094411, 111.81134476, 107.35124924,\n", - " 110.10564732, 110.59202877, 116.27360103, 135.12032479,\n", - " 96.73549691, 117.46303847, 118.15131437, 112.92314782,\n", - " 108.57518176, 106.73214078, 97.65163459, 82.6448659 ,\n", - " 82.90254787, 105.5589857 , 104.00843051, 113.1559703 ,\n", - " 95.10025967, 57.46464144, 57.72121037, 81.99785274,\n", - " 112.19027219, 110.54909026, 84.76907265, 104.70460988,\n", - " 111.81337322, 105.73863743, 91.5458193 , 90.34446347,\n", - " 108.18686987, 112.81395853, 113.1913107 , 112.17555597,\n", - " 113.00086982, 100.32928125, 105.80799784, 112.08951324,\n", - " 101.04865201, 109.69710469, 84.66949668, 107.6721848 ,\n", - " 109.59527552, 108.15479091, 109.86882429, 107.24630103,\n", - " 108.51484254, 101.87762634, 139.21953408, 123.66198133,\n", - " 147.27143619, 126.39171907, 96.69754605, 95.7365196 ,\n", - " 101.1500808 , 109.95156131, 111.03747767, 109.72520846,\n", - " 134.10652255, 111.11005761, 114.41581921, 77.96270581,\n", - " 136.57900379, 103.67862615, 99.87014106, 87.49985774,\n", - " 111.15838104, 83.6692672 , 121.18535252, 111.72386795,\n", - " 119.87079759, 107.13836382, 102.22020229, 99.83400087,\n", - " 101.00125449, 124.57896261, 139.73372788, 108.14158406,\n", - " 110.14761988, 108.70947534, 64.47535878, 111.30285601,\n", - " 109.69015402, 102.46159861, 100.43130117, 102.76973456,\n", - " 84.57838698, 102.26917505, 87.5487647 , 97.86248474,\n", - " 84.84191213, 93.90419992, 111.49106897, 99.31790014,\n", - " 100.07127363, 106.16567627, 106.7639769 , 83.92770345,\n", - " 106.10936086, 100.1526945 , 101.03741973, 71.0258612 ,\n", - " 122.96170168, 105.69894903, 100.32134462, 104.72178436,\n", - " 140.11734521, 100.39056242, 102.24196275, 116.79899918,\n", - " 107.16361289, 107.93092648, 103.28121424, 111.86228161,\n", - " 131.91421803, 99.29067798, 104.62548622, 105.05419821,\n", - " 106.8740582 , 104.83885721, 99.88525494, 99.16497968,\n", - " 101.65971649, 109.27080828, 101.20210772, 103.04674901,\n", - " 107.17767892, 96.87776146, 107.54574617, 104.17130628,\n", - " 105.04037595, 130.08590512, 75.92155381, 87.83120576,\n", - " 108.8538873 , 74.23937799, 53.97480357, 78.29595829,\n", - " 109.50074022, 107.1831051 , 120.34942849, 120.23061121,\n", - " 114.44511234, 79.49161993, 102.76831303, 106.63155956,\n", - " 107.7082459 , 136.32319117, 86.15162957, 149.17446197,\n", - " 112.33952615, 84.34741914, 82.60178343, 146.88044256,\n", - " 102.53399932, 104.18052987, 113.96491756, 106.37173635,\n", - " 82.65444243, 82.25878956, 109.04170985, 111.07589696,\n", - " 103.49968101, 111.76980973, 101.11208807, 136.45237116,\n", - " 107.06150689, 146.99629892, 94.00369138, 114.32237181,\n", - " 114.39779063, 106.57107989, 101.96226144, 108.54056074,\n", - " 111.07972455, 105.50800819, 106.06371992, 110.20819291,\n", - " 112.72724647, 75.03578222, 101.12645896, 107.72805356,\n", - " 100.03331049, 102.82029609, 67.06660536, 105.05372169,\n", - " 104.10065513, 102.6822741 , 111.53380334, 107.81215599,\n", - " 87.84400254, 88.88442217, 113.12655925, 82.20410873,\n", - " 98.99253215, 121.35730238, 104.28507075, 107.01704165,\n", - " 101.03422856, 101.03420377, 108.54158732, 103.62164709,\n", - " 102.83576483, 113.89038041, 113.29316302, 81.48777697,\n", - " 76.0414068 , 112.1589704 , 111.27210191, 67.85859331,\n", - " 92.66700008, 109.90866608, 102.83177504, 72.2564186 ,\n", - " 120.66015449, 86.48292419, 102.03145382, 97.83690928,\n", - " 108.5722751 , 77.00806674, 82.33621934, 111.05605497,\n", - " 89.23194517, 105.7038646 , 102.98918317, 68.77312689,\n", - " 104.41250808, 94.09532021, 115.32626957, 103.87779343,\n", - " 100.16570671, 97.64627283, 128.88042087, 54.75551542,\n", - " 77.62572337, 113.47198466, 85.49867957, 89.04531831,\n", - " 78.58529833, 95.96152195, 73.87054085, 89.76201919,\n", - " 125.4896258 , 82.62460569, 82.83158345, 84.91021438,\n", - " 103.43434498, 101.58987846, 69.89849857, 91.05716102,\n", - " 112.02791409, 78.87850089, 77.73510998, 101.51737299,\n", - " 106.52398015, 105.49129625, 102.08614939, 90.77165144,\n", - " 114.44984614, 108.55218578, 103.04869045, 60.45754081,\n", - " 120.02050103, 106.00465817, 103.03776235, 103.28760297,\n", - " 75.8997075 , 109.15242637, 102.92734781, 99.91511125,\n", - " 80.84752719, 106.19021796, 148.6729889 , 102.11662497,\n", - " 84.72895058, 101.85388258, 110.3090615 , 107.82606069,\n", - " 73.61817575, 88.76911422, 85.83519873, 98.29617547,\n", - " 107.16114239, 92.2697009 , 102.15817856, 102.62346433,\n", - " 110.52220909, 78.92479683, 105.95750301, 102.31453028,\n", - " 119.2848782 , 103.72536362, 52.53294033, 102.4750053 ,\n", - " 114.47081917, 61.90902774, 87.76181694, 104.74556866,\n", - " 101.5329712 , 103.42413351, 82.57158089, 104.73074714,\n", - " 72.98819128, 101.25802257, 101.25643557, 87.95284974,\n", - " 107.29642303, 87.36179402, 105.62707417, 69.15518108,\n", - " 93.79809451, 80.88745372, 84.8782089 , 103.7058258 ,\n", - " 52.48427462, 79.7907367 , 101.22359358, 69.77268285,\n", - " 107.89978021, 109.64260848, 108.97230133, 105.52075421,\n", - " 93.91367068, 108.54063667, 87.78749893, 108.62717801,\n", - " 99.52193786, 124.18561279, 105.07401077, 104.40662064,\n", - " 100.82590701, 99.49134827, 102.86633675, 100.5826291 ,\n", - " 99.39785232, 106.05701721, 97.57295986, 147.34729828,\n", - " 148.70388825, 68.33156803, 99.50111145, 135.49701681,\n", - " 118.2788882 , 103.41991044, 114.44511231, 100.4977647 ,\n", - " 63.89461875, 146.74063905, 97.79102907, 70.94632238,\n", - " 103.59055942, 76.96666703, 105.16513008, 97.54042889,\n", - " 109.92749375, 108.62043055, 133.01468124, 108.2502506 ,\n", - " 99.38433951, 96.55018831, 103.22552967, 110.42906987,\n", - " 88.17237293, 81.67456314, 126.77158921, 99.53498284,\n", - " 121.01125735, 88.23241183, 100.22742985, 100.96130865,\n", - " 107.04098941, 99.84561108, 104.12808858, 104.16101921,\n", - " 108.00280292, 112.16122115, 103.54045809, 114.6644791 ,\n", - " 82.79570748, 139.0144214 , 109.47783009, 91.71921289,\n", - " 84.29382344, 102.94392743, 98.89777866, 53.61582652,\n", - " 109.19701261, 134.33725101, 101.4214496 , 101.91089578,\n", - " 89.22708581, 103.78762886, 105.27627384, 94.93022291,\n", - " 106.82149204, 62.91599539, 107.97753967, 110.33850219,\n", - " 64.79563774, 75.81859252, 104.12870106, 105.90660511,\n", - " -1.6634491 , 83.6168631 , 74.40864846, 160.36038794,\n", - " 100.91558347, -0.43025571, -0.79420475, 109.77168902,\n", - " 80.61557249, 100.69681449, 117.53416004, 32.68634134,\n", - " 40.02677834, 132.31787254, 80. , 39.99 ,\n", - " 257.41593787, 150. , 1.72776122, 181.6492178 ,\n", - " 257.722493 , 100.41402739, 164.8279876 , 112.65493472,\n", - " 111.94808385, -0.45733534, 169.63227947, 57.5543506 ,\n", - " 77.04990506, 173.84276319, 121.84976529, 131.39654528,\n", - " 102.50437811, 76.08467732, 139.99 , 182.14221387,\n", - " 0. , 0. , 61.54778643, 77.31237637,\n", - " 45.03187786, 68.67287384, 31.77384771, 37.82449316,\n", - " 28.370136 , 36.43489699, 58.3708678 , 47.91817644,\n", - " 57.61452954, 54.13212363, 61.79781941]), array([ 91.19321655, 133.58569447, 102.18833187, 75.81942607,\n", - " 110.77592818, 111.25194464, 112.18937211, 107.32038231,\n", - " 95.46233803, 63.57072376, 111.41602595, 112.52646242,\n", - " 100.93920257, 102.179367 , 103.72273755, 105.22299545,\n", - " 91.14137911, 92.43946725, 91.31249861, 102.39255237,\n", - " 104.24290771, 103.21865369, 101.45824188, 107.05646958,\n", - " 112.1964195 , 110.6744713 , 101.32234557, 83.69566439,\n", - " 57.32843861, 145.34753582, 106.8475061 , 88.99113404,\n", - " 93.28494896, 68.97738746, 105.99410989, 75.1202 ,\n", - " 95.21409716, 85.65683637, 51.52088111, 66.01603437,\n", - " 99.90420798, 102.25233162, 105.0192036 , 99.33278907,\n", - " 111.61172301, 66.76455596, 107.93475625, 76.4022513 ,\n", - " 111.83601259, 141.70091121, 107.78847712, 107.26570978,\n", - " 105.39963921, 111.45673714, 78.03598984, 110.44321676,\n", - " 110.25284802, 122.85265328, 95.09850606, 69.36382229,\n", - " 85.04136981, 87.99771114, 98.86244595, 98.80259375,\n", - " 87.07272207, 93.51160636, 95.43778451, 93.12638931,\n", - " 98.52792049, 380.46483023, 86.02273031, 93.85912899,\n", - " 101.25993575, 101.79198482, 84.01670644, 97.9855662 ,\n", - " 49.71552766, 102.68813482, 99.53812441, 98.1022816 ,\n", - " 46.4544276 , 114.87951455, 102.89446128, 104.00932471,\n", - " 95.70177012, 96.08364608, 99.79521083, 103.12238408,\n", - " 103.20476806, 56.60051455, 51.0820697 , 107.34590814,\n", - " 84.67395116, 82.77369305, 113.10900227, 99.23056662,\n", - " 110.96281839, 110.97252431, 65.03636192, 100.16867445,\n", - " 124.24022816, 132.87840959, 104.81915894, 117.56263038,\n", - " 104.93968864, 104.50467706, 99.11325438, 105.45310539,\n", - " 104.71253863, 101.29479935, 106.50664167, 102.22003006,\n", - " 145.75028605, 98.50095918, 87.55705245, 148.46868087,\n", - " 109.5303867 , 121.26581441, 114.32604956, 149.23776468,\n", - " 118.57050914, 91.84616166, 93.41985654, 101.07705444,\n", - " 104.30821613, 144.14129532, 92.02446997, 91.54973557,\n", - " 122.97215209, 121.9798436 , 107.19335245, 99.74271222,\n", - " 105.88942102, 105.59639478, 103.77512019, 105.94021608,\n", - " 105.31577661, 110.77609401, 110.12146477, 110.14201079,\n", - " 91.66502175, 89.55946176, 99.46679258, 107.74333185,\n", - " 102.84926456, 111.40922695, 111.31978499, 89.52186027,\n", - " 102.28845906, 112.53484783, 108.83131687, 86.16599188,\n", - " 143.38453084, 147.53707051, 115.91439164, 101.99981629,\n", - " 96.82040166, 97.53120815, 108.25700811, 60.78687767,\n", - " 61.58345093, 110.65917887, 104.91690313, 100.59514354,\n", - " 108.61859565, 108.61845706, 129.03949849, 111.65018529,\n", - " 96.73757215, 109.70908269, 98.88699832, 104.47830117,\n", - " 97.4456177 , 88.2923993 , 76.80993881, 110.83776278,\n", - " 111.47373201, 89.17361051, 89.08105531, 109.22146495,\n", - " 112.05894988, 98.06312724, 106.42026746, 94.44818596,\n", - " 92.27685286, 69.0763186 , 97.42449472, 92.10215049,\n", - " 93.80670093, 81.42818724, 74.71173375, 103.99980657,\n", - " 67.13361332, 105.72763869, 109.00261807, 109.11355288,\n", - " 99.50709266, 103.63592167, 137.9143322 , 104.95797501,\n", - " 111.21989022, 145.5884284 , 102.05397314, 106.3578575 ,\n", - " 138.13710567, 104.67915177, 104.62642315, 97.94324187,\n", - " 108.36093876, 109.83810844, 110.38055329, 123.64158334,\n", - " 119.91334275, 127.3673117 , 108.1235329 , 91.35387402,\n", - " 113.25698331, 113.25766459, 119.83415657, 119.18528493,\n", - " 98.86244857, 69.89349712, 89.58714546, 117.81598703,\n", - " 100.80625342, 105.39518376, 89.21970508, 88.62417742,\n", - " 99.70067291, 99.0132639 , 104.79360861, 108.86232605,\n", - " 116.9184269 , 115.2383078 , 112.40806428, 99.8167289 ,\n", - " 88.65201401, 99.1781053 , 108.38698009, 115.77961968,\n", - " 111.17915507, 106.42108223, 94.82277777, 107.89138132,\n", - " 104.23146249, 117.25891921, 74.5836422 , 63.51789458,\n", - " 72.78843438, 95.60839608, 96.10406145, 143.44140462,\n", - " 113.44259828, 103.27542958, 108.38186255, 111.54458024,\n", - " 98.9779749 , 110.46908523, 99.34093613, 61.79060067,\n", - " 63.304016 , 102.55886582, 94.2736012 , 94.64467318,\n", - " 106.06320129, 67.26513738, 85.98198681, 96.535516 ,\n", - " 109.22014946, 129.14235253, 89.09644693, 94.80838182,\n", - " 95.03451897, 109.68091307, 109.46841632, 102.60105472,\n", - " 104.51677339, 98.14069139, 118.95002615, 116.09572629,\n", - " 85.10881089, 106.74041567, 106.44616065, 103.32337622,\n", - " 107.86616863, 85.97203111, 104.84123544, 85.55878512,\n", - " 77.03609245, 75.25644269, 140.53167435, 106.61742702,\n", - " 68.77814288, 70.72140691, 127.44716837, 115.58842631,\n", - " 88.37591454, 132.49512562, 73.66439071, 83.82862461,\n", - " 103.16935915, 107.8454893 , 98.18701312, 105.13786436,\n", - " 107.61733801, 105.08829633, 108.00682444, 108.02945296,\n", - " 123.36939414, 107.51868771, 102.32595145, 109.07120366,\n", - " 80.96217574, 80.54135458, 146.03416433, 146.3118885 ,\n", - " 107.23470681, 76.29347385, 86.07442649, 95.05414914,\n", - " 108.61766421, 105.09851471, 79.89493379, 79.07715464,\n", - " 99.80438472, 101.36919259, 103.80127517, 101.52521998,\n", - " 105.71658733, 106.93467191, 106.94077077, 136.97767674,\n", - " 100.88154375, 101.44574277, 92.90483046, 91.21249064,\n", - " 143.41078627, 140.15092384, 110.83663978, 106.92279619,\n", - " 116.35893927, 101.38038185, 143.34428246, 117.18783813,\n", - " 102.7717787 , 102.42663276, 106.86358315, 113.24984267,\n", - " 93.69200463, 69.72531479, 108.60337095, 106.01521626,\n", - " 97.37188054, 99.67568769, 100.60396058, 105.2569798 ,\n", - " 146.27656284, 140.85252786, 108.64057464, 99.20340681,\n", - " 102.96339389, 101.15539929, 107.26666458, 107.64239584,\n", - " 110.49421854, 132.89653521, 143.3216083 , 112.07703465,\n", - " 112.38064603, 110.30148966, 109.54764195, 107.04954529,\n", - " 100.28243863, 109.94271491, 100.65873524, 97.24408312,\n", - " 106.03482438, 97.51683337, 83.22177561, 139.3966447 ,\n", - " 89.50012865, 123.61708296, 105.58438579, 108.59659467,\n", - " 101.63823829, 85.03490704, 45.218213 , 107.24803564,\n", - " 111.13320842, 120.93344402, 105.9360082 , 106.4744607 ,\n", - " 101.58189719, 64.60797529, 87.78334533, 110.04151479,\n", - " 100.90096321, 80.93005308, 120.16726338, 109.15964485,\n", - " 111.56464807, 110.03111271, 72.39520544, 112.3981875 ,\n", - " 80.93337091, 99.91182736, 106.0303735 , 111.81632549,\n", - " 108.42343929, 100.36031081, 100.32670049, 109.16128689,\n", - " 71.46028689, 144.85135807, 95.97362352, 69.91913532,\n", - " 109.12566027, 107.95170462, 76.21474438, 79.72778679,\n", - " 101.39143955, 108.08635456, 90.78097028, 101.1602136 ,\n", - " 101.17067335, 108.63217769, 99.482791 , 105.91255489,\n", - " 104.88907118, 121.83031978, 105.58206409, 77.72568338,\n", - " 109.32658238, 96.44854626, 80.11847925, 109.75306194,\n", - " 98.04408782, 84.64122964, 107.91212139, 76.17250631,\n", - " 125.43895672, 127.39535273, 94.34345161, 105.23399508,\n", - " 104.19923929, 111.1000546 , 72.17732664, 111.39851098,\n", - " 93.92538307, 93.34549663, 97.14393943, 110.4246022 ,\n", - " 59.34967858, 60.68181741, 89.28677798, 109.10260243,\n", - " 70.59450047, 60.46304023, 52.70127146, 109.98719596,\n", - " 111.79389454, 103.34648648, 94.55695983, 47.54837265,\n", - " 108.34065278, 99.25611312, 111.39944489, 100.04588477,\n", - " 102.50174296, 106.31686482, 101.45103202, 111.50019998,\n", - " 99.91633129, 89.21794915, 107.15887401, 100.6558094 ,\n", - " 111.44416498, 136.53070226, 101.22314141, 109.00971569,\n", - " 80.6531518 , 67.71629918, 110.80955853, 107.27054463,\n", - " 109.06294934, 109.54933079, 110.16352116, 135.18087037,\n", - " 96.49039004, 111.41707985, 112.10535575, 113.25183706,\n", - " 108.65218904, 106.80914805, 95.05126477, 76.85038651,\n", - " 77.10806847, 104.50823555, 102.39013226, 112.11327232,\n", - " 95.02944264, 55.96615341, 56.22271817, 80.49932941,\n", - " 111.22084141, 109.57971975, 84.80436086, 104.73126062,\n", - " 110.83523857, 105.76528817, 91.57247004, 88.84598337,\n", - " 106.66173872, 111.28222926, 111.65852843, 110.93232167,\n", - " 111.54788175, 100.40619038, 105.80799784, 111.11692653,\n", - " 99.37011033, 110.39288277, 84.26681662, 106.55486082,\n", - " 108.33117741, 108.19638786, 108.35031301, 106.88313973,\n", - " 108.59107259, 101.23067131, 139.15596734, 123.79385015,\n", - " 147.27143619, 126.39171907, 96.77111908, 95.8103032 ,\n", - " 99.25449303, 108.97036428, 110.04702866, 108.74400852,\n", - " 134.56347226, 110.11966459, 112.36285318, 77.56002575,\n", - " 136.33110552, 102.05588008, 99.2755188 , 87.81235416,\n", - " 108.19484168, 77.92614119, 121.18535252, 109.31608616,\n", - " 115.9819024 , 99.73890312, 99.52807659, 98.87264961,\n", - " 100.03994454, 120.53711318, 140.19067758, 107.5125007 ,\n", - " 108.65607429, 106.30169355, 62.73703661, 108.66087282,\n", - " 108.61029383, 101.36004304, 97.83804959, 96.97525516,\n", - " 78.78390759, 101.30936353, 87.62567383, 97.61458647,\n", - " 85.52594181, 93.88316277, 109.40914401, 99.24103863,\n", - " 99.99441212, 106.13590411, 106.73420475, 83.67980519,\n", - " 106.08110532, 100.12443896, 98.94974777, 71.70989088,\n", - " 122.93391531, 105.67116267, 97.6924138 , 104.70336195,\n", - " 140.24921403, 99.2296693 , 101.16659904, 113.79029547,\n", - " 104.15490917, 106.95066693, 101.0166821 , 110.88202206,\n", - " 131.88643167, 99.21270433, 104.4838632 , 103.43589997,\n", - " 105.25575995, 103.193916 , 99.6951988 , 98.97492353,\n", - " 99.03078567, 108.63415218, 98.5731769 , 102.97653253,\n", - " 107.25458805, 96.95224222, 106.05272112, 102.55300804,\n", - " 103.4220777 , 125.30067863, 76.58091026, 88.16596242,\n", - " 108.1186384 , 74.95222866, 54.68765424, 78.97792802,\n", - " 108.18831217, 105.87067705, 120.10153022, 120.9263893 ,\n", - " 112.38575353, 78.9312509 , 102.09087342, 104.58995752,\n", - " 107.73489664, 136.32319117, 86.13320717, 149.17446197,\n", - " 112.79647586, 83.41116096, 81.66552525, 146.88044256,\n", - " 101.85906959, 102.76309422, 113.71701929, 106.12383808,\n", - " 76.85996303, 76.46431017, 109.02328744, 109.18323088,\n", - " 102.42117782, 110.27807023, 101.24810142, 136.90932087,\n", - " 107.13841602, 146.99629892, 91.30304515, 112.28980467,\n", - " 112.34875938, 106.43182449, 100.88633359, 108.61746987,\n", - " 110.09838264, 103.88970995, 105.08374052, 108.55825272,\n", - " 111.75959811, 75.71635343, 99.23105118, 105.83523064,\n", - " 98.35450487, 101.14149047, 67.31148068, 103.76411157,\n", - " 102.96822057, 101.71952384, 110.55550934, 107.88906512,\n", - " 81.2066931 , 87.2616761 , 113.82233733, 76.40962933,\n", - " 95.10363695, 116.24594684, 102.72932315, 101.90568611,\n", - " 98.9465566 , 98.94653181, 108.61849645, 102.12965289,\n", - " 101.17944926, 111.87366043, 111.27644304, 80.52667655,\n", - " 75.08030639, 110.66027138, 110.17052261, 68.84815435,\n", - " 84.91266246, 108.92623649, 102.75188683, 72.97345848,\n", - " 120.66015449, 86.45746128, 101.89019167, 96.41947364,\n", - " 108.43301989, 77.04966369, 79.81179044, 110.8081567 ,\n", - " 86.53981947, 104.87055928, 102.23202224, 66.68545493,\n", - " 104.27088505, 92.67788456, 115.32626957, 103.84563886,\n", - " 99.03900499, 97.72318196, 128.88042087, 54.829972 ,\n", - " 76.12720003, 110.88355173, 79.70420018, 88.79742004,\n", - " 75.62175897, 95.94309955, 73.85211845, 89.77373051,\n", - " 125.4896258 , 82.76061904, 81.89532527, 84.66231611,\n", - " 102.17769752, 102.28565655, 70.88805961, 86.21378511,\n", - " 110.53636847, 77.94224271, 78.41707972, 102.21315107,\n", - " 106.38472474, 105.35204085, 101.12285723, 89.3542158 ,\n", - " 112.38945472, 106.93388753, 102.9841365 , 58.9590607 ,\n", - " 119.99271466, 106.46160798, 101.41946411, 101.66930472,\n", - " 76.03572084, 108.30223103, 103.47942759, 99.7250551 ,\n", - " 81.30447699, 106.05096256, 148.6729889 , 101.16125527,\n", - " 83.23046617, 99.86621313, 109.45684647, 107.79827433,\n", - " 72.98871705, 86.97800767, 85.43251866, 96.60564648,\n", - " 105.55530682, 92.72665071, 102.00420691, 101.66459207,\n", - " 104.63282841, 79.16967215, 105.70960474, 101.37962418,\n", - " 118.80954869, 102.10706537, 53.21491007, 100.9830111 ,\n", - " 112.92158348, 60.21849875, 81.12450751, 103.11232459,\n", - " 100.27403876, 101.80583526, 81.07305755, 104.80765627,\n", - " 73.68396937, 99.57948089, 100.29925615, 87.92741132,\n", - " 107.14245138, 85.66022204, 103.9938301 , 68.52572239,\n", - " 93.55019624, 80.86199081, 85.43028869, 103.49537379,\n", - " 52.72914994, 78.00066932, 99.25517525, 67.17943127,\n", - " 106.9344082 , 109.53042896, 107.92960335, 105.04649818,\n", - " 93.925382 , 108.6175458 , 80.14305271, 108.70418571,\n", - " 97.55351953, 124.88139087, 105.1509199 , 101.87316566,\n", - " 98.93056437, 99.53294522, 100.97060143, 98.68689379,\n", - " 96.7689215 , 104.24240033, 95.75834298, 147.40784386,\n", - " 148.70388825, 67.70210933, 99.57802058, 135.43345007,\n", - " 118.2788882 , 100.79097962, 112.3857535 , 100.5750276 ,\n", - " 62.95836057, 146.80118463, 97.83262603, 71.49840216,\n", - " 102.86948409, 75.01383933, 103.3371503 , 96.91720466,\n", - " 108.4094103 , 108.60226828, 133.01468124, 108.20339412,\n", - " 96.7554087 , 96.59178527, 101.57619533, 108.67924178,\n", - " 88.14691001, 81.64910022, 127.22853903, 98.87839601,\n", - " 121.01125735, 88.22991777, 99.27465952, 99.9999987 ,\n", - " 105.14838378, 99.92261836, 102.04616363, 102.07909426,\n", - " 107.93278682, 109.64361126, 102.84691869, 113.11521972,\n", - " 82.60565134, 139.14629022, 107.58522447, 90.22073433,\n", - " 82.79534488, 100.85679381, 98.64988039, 54.3116046 ,\n", - " 108.41360014, 134.46911984, 99.52604182, 101.35927412,\n", - " 87.60878756, 102.16933062, 103.6579756 , 95.00470353,\n", - " 106.10254454, 62.95759235, 106.51139316, 109.48626147,\n", - " 64.70521105, 76.80815356, 102.505955 , 104.28385904,\n", - " -1.6634491 , 80.88719759, 73.72163973, 159.88472738,\n", - " 98.83338749, -0.430297 , -0.79424463, 109.57330754,\n", - " 78.12394475, 95.14061447, 106.23060462, 32.25063353,\n", - " 40.06837529, 132.77482236, 80. , 39.99 ,\n", - " 249.02229288, 150. , 1.72776122, 176.75851166,\n", - " 249.35413994, 95.69187456, 164.3526581 , 111.64255543,\n", - " 110.9806376 , -0.45736584, 169.72042619, 49.95340655,\n", - " 69.04609855, 174.18401007, 121.7593386 , 131.85349498,\n", - " 102.04686269, 75.99425062, 139.99 , 177.22702507,\n", - " 0. , 0. , 61.84730509, 77.1666163 ,\n", - " 45.54835459, 68.74585163, 32.48307405, 38.84420942,\n", - " 27.86443587, 36.34447029, 58.44819199, 49.47368616,\n", - " 55.85646657, 56.29892689, 57.88584963]), array([103.22456983, 133.62768912, 103.06373329, 76.69570857,\n", - " 110.38277151, 110.78860798, 111.72803133, 107.25936008,\n", - " 94.0822407 , 62.12277567, 110.74469497, 111.93065626,\n", - " 102.44956926, 102.07218784, 103.34990044, 104.85015836,\n", - " 92.83170364, 93.17861293, 90.84776549, 101.92781658,\n", - " 104.18316972, 103.163157 , 101.08310118, 107.12707294,\n", - " 111.91329622, 110.4123969 , 100.94642462, 84.236052 ,\n", - " 57.87130041, 145.54191875, 107.00816274, 89.41488945,\n", - " 93.70732252, 68.71573635, 105.88353799, 74.85854834,\n", - " 94.95549978, 85.39825292, 51.25923197, 65.75438408,\n", - " 100.0112038 , 102.35933188, 104.94230665, 100.24061429,\n", - " 111.21976526, 66.68387381, 107.98817951, 76.68406398,\n", - " 111.42149316, 141.74437826, 107.70047339, 107.12866361,\n", - " 105.00848202, 111.06491308, 78.14310812, 110.54998498,\n", - " 110.35963413, 124.23706518, 95.00410636, 70.74838828,\n", - " 85.42476131, 88.55753817, 98.96214589, 98.90265226,\n", - " 86.81106699, 93.25002384, 95.51201046, 93.20257249,\n", - " 98.26624619, 380.42987218, 85.76107147, 93.59748432,\n", - " 101.25729108, 101.78934015, 84.47021228, 98.03906721,\n", - " 49.76903674, 102.73016912, 99.58107262, 98.20207456,\n", - " 47.17750134, 116.32177411, 104.3367261 , 104.29115795,\n", - " 96.05354881, 96.39713073, 99.53353396, 103.15554382,\n", - " 103.23878161, 56.33886773, 50.82042131, 107.41650091,\n", - " 84.41229277, 82.51203789, 114.54897563, 100.6705428 ,\n", - " 110.57099436, 110.58070028, 65.10558818, 100.23788795,\n", - " 125.93458151, 133.27625284, 104.53773146, 117.96052561,\n", - " 103.88055471, 103.44138978, 99.21310929, 105.48431678,\n", - " 104.59556135, 101.18454138, 106.53178732, 102.24519303,\n", - " 146.09935337, 104.38619569, 93.44193569, 148.84378042,\n", - " 109.55553113, 121.69870559, 114.75894979, 149.55974182,\n", - " 118.94563177, 99.69168582, 101.16009349, 107.83823899,\n", - " 111.06818951, 144.33224633, 93.24477707, 92.77008246,\n", - " 128.95651888, 127.73401578, 107.30005508, 99.84969718,\n", - " 105.91932026, 105.62656167, 103.87686153, 106.04087362,\n", - " 116.48461481, 110.882246 , 109.72146664, 109.73791788,\n", - " 91.9100232 , 89.80515541, 99.5332849 , 107.83795147,\n", - " 102.88350682, 110.59880544, 110.47984381, 100.69069885,\n", - " 102.35886025, 112.93649219, 108.90180809, 86.13715472,\n", - " 143.7470982 , 147.68956096, 116.96172585, 102.02510462,\n", - " 96.83574653, 97.54501996, 107.99494476, 59.85435677,\n", - " 60.74969283, 110.24457906, 104.98313296, 100.66298309,\n", - " 108.71391319, 108.71381373, 129.44204563, 112.04334904,\n", - " 96.75334347, 109.44701945, 98.88082727, 104.47213022,\n", - " 97.46280314, 88.03075376, 76.54829623, 110.40902659,\n", - " 111.06458375, 88.91196226, 88.81940777, 109.19078678,\n", - " 111.79688816, 98.04881734, 106.39211363, 94.8261576 ,\n", - " 92.66119402, 68.07178376, 98.54574662, 93.22350976,\n", - " 94.31271254, 81.93419865, 74.35873664, 103.4722746 ,\n", - " 66.77998198, 105.7266908 , 109.0036219 , 109.05254236,\n", - " 99.55433973, 103.68316875, 138.01448719, 104.56697087,\n", - " 110.81620649, 145.74057783, 101.33937506, 106.26003847,\n", - " 138.57156116, 103.6917091 , 103.62220776, 98.82117888,\n", - " 109.19124258, 109.43919597, 109.98180089, 129.05071632,\n", - " 125.54457667, 127.4787999 , 110.58150632, 93.85429565,\n", - " 112.58614386, 112.58651708, 125.00352662, 124.38611024,\n", - " 99.74468218, 70.77613067, 89.3254992 , 118.16535114,\n", - " 101.92752258, 106.13332559, 88.95805942, 88.36253183,\n", - " 99.43898416, 98.99895501, 104.86293818, 108.93030199,\n", - " 117.31341523, 115.6327941 , 112.32104467, 99.66562609,\n", - " 89.5202424 , 99.08918554, 107.56488871, 116.8233128 ,\n", - " 110.74728511, 106.60241594, 95.00414538, 107.82667363,\n", - " 104.30530076, 117.65477464, 75.45992817, 64.38620568,\n", - " 73.66472108, 96.03065603, 96.26336333, 143.63578788,\n", - " 115.07838134, 104.14993493, 107.99085409, 111.14473317,\n", - " 99.13745291, 110.20786279, 99.50040591, 62.33428341,\n", - " 63.84770295, 102.72001467, 94.43480049, 93.4919093 ,\n", - " 105.02942543, 68.14178502, 86.05281812, 96.6063263 ,\n", - " 109.05709493, 129.33668087, 88.74280811, 94.45474273,\n", - " 95.41252114, 109.78135754, 109.5688626 , 102.0821015 ,\n", - " 103.50803536, 98.14421391, 124.93470405, 122.08169511,\n", - " 85.61482226, 106.70304516, 106.40874226, 103.3591756 ,\n", - " 107.90282757, 86.15338296, 103.78610718, 85.74016364,\n", - " 76.77443931, 74.99478955, 140.83373088, 107.01592008,\n", - " 68.42450418, 70.36776816, 127.60363644, 115.74838491,\n", - " 87.85697012, 134.14290338, 73.1455909 , 94.8207035 ,\n", - " 103.21767688, 107.89380706, 98.83343479, 105.31919806,\n", - " 107.7986714 , 105.15448294, 108.0737349 , 107.64364239,\n", - " 125.06260632, 107.13538591, 101.861716 , 108.6707784 ,\n", - " 80.6085417 , 80.1877206 , 146.56980656, 146.8480582 ,\n", - " 106.86015675, 75.77452949, 86.61185692, 94.70051017,\n", - " 108.71324472, 104.03522743, 86.04763354, 84.72104588,\n", - " 99.91137798, 101.4676637 , 102.75432153, 101.80565823,\n", - " 105.3467047 , 106.55802532, 106.56416525, 137.37122917,\n", - " 100.52789643, 101.07835411, 92.64318557, 90.95084576,\n", - " 143.77367241, 140.51382688, 110.4253999 , 105.87584693,\n", - " 117.38587352, 102.40751928, 143.73964575, 117.58350345,\n", - " 102.65780223, 102.31652352, 106.60779478, 119.00428469,\n", - " 93.74551558, 69.77882581, 108.44970898, 106.08407951,\n", - " 103.00315858, 99.5966399 , 100.60217784, 104.86586612,\n", - " 146.66369051, 141.23167537, 108.48545566, 98.84976213,\n", - " 102.84704881, 101.05280356, 107.17493854, 107.26006261,\n", - " 110.11275839, 133.0384788 , 143.46425998, 112.02901937,\n", - " 112.30176111, 109.7781093 , 109.02560234, 106.66715723,\n", - " 100.18636044, 109.68100432, 101.16474644, 97.29758982,\n", - " 105.773386 , 97.25518779, 83.2347626 , 139.40969458,\n", - " 89.87798924, 129.60148443, 106.45981834, 108.51251489,\n", - " 107.51521345, 90.91695012, 45.27172415, 113.06311144,\n", - " 114.27631955, 120.94115579, 105.95486398, 106.4924127 ,\n", - " 102.32971175, 65.4862731 , 88.53190142, 109.77945032,\n", - " 100.63889914, 82.15198355, 121.38988209, 109.20796262,\n", - " 110.89351266, 109.3599773 , 71.01529645, 112.31575712,\n", - " 81.47619463, 100.67767835, 106.10637811, 111.35774854,\n", - " 109.29285002, 100.18253631, 100.14896951, 114.57131772,\n", - " 71.19864435, 145.00363746, 95.45467624, 70.46265904,\n", - " 109.17201274, 107.99509133, 76.89587716, 80.37236182,\n", - " 100.25284435, 107.62254356, 91.18702889, 100.98183463,\n", - " 100.99275475, 107.86372523, 99.10855977, 105.60977878,\n", - " 104.62691533, 123.52362778, 105.63550047, 77.77911986,\n", - " 108.81068396, 102.333783 , 88.09855912, 109.36212601,\n", - " 99.1652981 , 84.26690655, 107.97583436, 77.5352946 ,\n", - " 125.86999221, 127.82611819, 94.5892522 , 103.97774193,\n", - " 102.99658072, 111.01389678, 73.05158002, 111.31235334,\n", - " 94.34876936, 93.76888323, 97.07275366, 110.72665917,\n", - " 60.35007077, 61.68236825, 90.02757472, 108.94748345,\n", - " 71.4687608 , 61.33953555, 53.24873291, 110.08757179,\n", - " 111.74621618, 103.38379194, 94.61825485, 47.60966771,\n", - " 107.8664591 , 98.71141152, 111.00013781, 99.34153252,\n", - " 102.50662299, 105.94705441, 101.09848951, 110.82905239,\n", - " 105.801177 , 95.10153158, 107.08386118, 100.66123109,\n", - " 111.04537533, 137.68962391, 102.0781667 , 109.86474099,\n", - " 83.79676489, 70.86008011, 110.39831865, 107.30372705,\n", - " 108.63103912, 109.11741994, 116.39268023, 135.22328604,\n", - " 96.62748354, 117.57365871, 118.26197728, 113.65346717,\n", - " 108.71257136, 106.86971371, 96.04960007, 82.73375177,\n", - " 82.99208253, 104.07174813, 101.3431828 , 111.68120937,\n", - " 95.40763318, 55.70450721, 55.96107149, 80.23767625,\n", - " 110.83950309, 109.19860486, 84.87373778, 104.78440077,\n", - " 110.44667012, 105.8184282 , 91.625595 , 88.58433783,\n", - " 105.65811118, 110.78488164, 111.16807339, 110.27972973,\n", - " 110.69419137, 100.50664129, 105.81593727, 110.73315548,\n", - " 98.21154841, 111.18171865, 84.82664596, 106.02784135,\n", - " 107.64975061, 108.27125045, 107.45015718, 106.96313741,\n", - " 108.65198343, 101.12146998, 139.18849601, 124.22674409,\n", - " 147.66071225, 126.78212907, 96.83268581, 95.87182372,\n", - " 99.21941655, 108.57941294, 109.64739136, 108.35305648,\n", - " 136.20900207, 109.72008676, 112.28756411, 78.11985514,\n", - " 136.47763154, 100.99528177, 99.19495012, 88.38075543,\n", - " 110.50257642, 83.75089544, 121.32889712, 110.19138675,\n", - " 120.26034055, 107.2422136 , 100.40601455, 98.49811224,\n", - " 99.66544185, 124.95700562, 141.55538117, 107.42455023,\n", - " 107.72276652, 107.17709516, 61.47895721, 109.48681008,\n", - " 108.12936488, 100.85118054, 98.80317805, 102.86141239,\n", - " 84.67144256, 100.93608229, 87.72627994, 97.75816262,\n", - " 86.26303467, 94.28919026, 109.32298638, 99.27539293,\n", - " 100.02882905, 106.18422189, 106.78252252, 83.85162323,\n", - " 106.13008811, 100.17342305, 99.83109759, 72.44698952,\n", - " 123.47860624, 106.21783369, 98.81377307, 104.75687543,\n", - " 140.67789509, 98.63985601, 100.69271437, 116.16084708,\n", - " 106.53314541, 106.55888245, 101.88317698, 110.49020627,\n", - " 132.42978397, 99.45940131, 104.50178491, 102.38895103,\n", - " 104.20881102, 101.93152064, 99.87654028, 99.15626521,\n", - " 100.1521464 , 108.55096036, 99.69453781, 103.01230663,\n", - " 107.31505937, 97.01353709, 105.79130889, 101.50605906,\n", - " 102.37512876, 130.41363672, 77.30706473, 88.74453481,\n", - " 107.97266647, 75.70186747, 55.43729305, 79.71449254,\n", - " 107.45338005, 105.13574495, 120.24840456, 121.95278771,\n", - " 112.30583654, 79.57582607, 101.96506286, 105.39418001,\n", - " 107.78803667, 136.64521169, 86.18672065, 149.47224101,\n", - " 114.44204169, 83.05752214, 81.31188643, 147.27157348,\n", - " 101.73462675, 102.86995091, 113.87773193, 106.28455976,\n", - " 82.74380522, 82.34830103, 109.07649194, 109.14586043,\n", - " 101.94239984, 110.01668498, 101.52750639, 138.54503772,\n", - " 107.2331417 , 147.3716512 , 92.71122409, 112.22927601,\n", - " 112.27631841, 106.44977653, 100.41195408, 108.71310525,\n", - " 109.7073354 , 102.84275681, 104.69267374, 108.34747662,\n", - " 111.37569575, 76.45191604, 99.19583018, 105.79798337,\n", - " 97.19527 , 99.9822556 , 67.85517903, 102.99553596,\n", - " 102.41795895, 101.34379047, 110.16774024, 107.95271825,\n", - " 87.96855141, 86.20126093, 114.86645285, 82.29505103,\n", - " 99.38211414, 121.66712875, 102.46457642, 107.32689925,\n", - " 99.82880737, 99.82878959, 108.713842 , 101.07727339,\n", - " 99.89671734, 111.82456682, 111.22734943, 80.15233458,\n", - " 74.70596606, 110.39855383, 109.65975099, 69.71566675,\n", - " 92.75818829, 108.53284462, 102.78528621, 73.72486188,\n", - " 120.80703738, 86.85930101, 101.9075839 , 96.52654448,\n", - " 108.45097193, 77.12052425, 81.50211692, 110.96871963,\n", - " 87.41775826, 104.61111204, 102.02724965, 67.56770857,\n", - " 104.28883439, 92.78495547, 115.72077981, 103.89288595,\n", - " 98.49660908, 97.78683938, 129.27155266, 54.88966238,\n", - " 75.86554755, 111.64599224, 85.60359953, 88.95862096,\n", - " 77.92969373, 95.99660633, 73.90562633, 90.19711359,\n", - " 125.51192274, 83.0411376 , 81.54169275, 84.82352702,\n", - " 101.45469054, 103.3126036 , 71.7615497 , 91.38355166,\n", - " 110.27498681, 77.58861018, 79.15510792, 103.00210391,\n", - " 106.40267679, 105.3699929 , 100.74664115, 89.46129832,\n", - " 112.30878959, 105.8869386 , 103.02126145, 58.6974185 ,\n", - " 120.53710077, 107.89852552, 100.37253615, 100.62240128,\n", - " 76.3171434 , 108.04809218, 104.69741635, 99.90639604,\n", - " 82.73114094, 106.06898552, 149.03570638, 100.79169263,\n", - " 82.9688203 , 99.8380843 , 109.20461959, 108.3441261 ,\n", - " 73.66985609, 87.62511753, 85.9923494 , 95.25744586,\n", - " 104.5465688 , 94.16053358, 102.01801885, 101.29209949,\n", - " 110.6154405 , 79.71229857, 105.86964094, 101.02708167,\n", - " 119.43771283, 101.06016259, 53.95763917, 99.9306316 ,\n", - " 112.25052049, 58.87029821, 87.88578762, 102.03210724,\n", - " 99.54782302, 100.75893246, 80.81140564, 104.86812759,\n", - " 74.45315788, 98.42091896, 99.92817977, 88.32924106,\n", - " 107.15626339, 84.46329093, 102.91361275, 69.20686274,\n", - " 93.71139853, 81.26383268, 86.65060951, 103.49272912,\n", - " 53.27418432, 76.92092281, 99.24086638, 68.14455978,\n", - " 106.55775812, 109.55556881, 107.49784176, 105.04471562,\n", - " 94.3487686 , 108.71315974, 87.88381998, 108.76456746,\n", - " 97.53921064, 126.03853495, 105.21712767, 102.57037224,\n", - " 98.89528931, 99.60717143, 100.93564339, 98.65193574,\n", - " 97.89028077, 104.1415367 , 95.65747936, 147.56011879,\n", - " 149.02333522, 68.38334654, 99.64451293, 135.46606257,\n", - " 118.65551836, 101.91234053, 112.30583652, 100.6351666 ,\n", - " 62.60472188, 146.95347064, 97.90324533, 72.71649416,\n", - " 102.71120616, 74.49494756, 103.24715595, 96.8114804 ,\n", - " 107.50905526, 108.65311288, 133.37757438, 108.24514285,\n", - " 97.87676623, 96.66677169, 100.30719638, 108.5255798 ,\n", - " 88.54877081, 82.05273475, 128.61619585, 98.74785967,\n", - " 121.40936273, 88.64334559, 98.90739044, 99.62581283,\n", - " 105.1109654 , 99.98333255, 101.96000603, 101.99293671,\n", - " 107.96953798, 110.3220127 , 102.71233375, 112.444218 ,\n", - " 82.7874517 , 139.57718606, 107.54781696, 89.96302159,\n", - " 82.53773396, 100.77989686, 98.81110626, 55.10067172,\n", - " 108.24319567, 134.90001573, 99.49082082, 101.24901623,\n", - " 86.5619139 , 101.12237889, 102.61107294, 95.06612893,\n", - " 105.96100027, 63.03465106, 105.57644377, 109.23405886,\n", - " 64.6245289 , 77.68297631, 101.44531823, 103.22282211,\n", - " -1.6634491 , 82.33579485, 74.43222209, 160.49409835,\n", - " 99.71390225, -0.4303142 , -0.79426073, 109.57430964,\n", - " 79.45710983, 100.96908506, 117.34379843, 33.69991531,\n", - " 40.13923585, 134.16247918, 80. , 39.99 ,\n", - " 253.55932163, 150. , 1.72776122, 181.2558158 ,\n", - " 253.87822627, 100.73862036, 164.9806793 , 111.22836284,\n", - " 110.59681682, -0.45736569, 169.97815001, 57.66412162,\n", - " 75.98730372, 175.55960888, 121.67865645, 133.50127274,\n", - " 101.76616907, 75.93224453, 139.99 , 181.75842887,\n", - " 0. , 0. , 62.10883885, 77.04269026,\n", - " 45.99056679, 68.76972496, 33.11602461, 39.72427737,\n", - " 27.41364811, 36.26320073, 58.50827195, 50.69366332,\n", - " 54.36142571, 53.97198179, 61.81838685]), array([101.5382839 , 133.66134389, 102.61812508, 76.25010036,\n", - " 110.10806587, 110.48659356, 111.42671859, 107.11379049,\n", - " 93.54169872, 61.56732479, 110.3105477 , 111.50578304,\n", - " 102.32594686, 101.91060569, 103.08293122, 104.58318914,\n", - " 92.35026316, 92.78063006, 90.54493114, 101.62498222,\n", - " 104.0368559 , 103.01964699, 100.81520528, 107.14653489,\n", - " 111.51901236, 110.0336639 , 100.6782147 , 84.38620289,\n", - " 58.02145129, 149.0488773 , 106.94654674, 89.48906087,\n", - " 93.78049 , 68.33511022, 105.38564376, 74.47792169,\n", - " 94.57488272, 85.01763586, 50.87860786, 65.37375872,\n", - " 99.66828775, 102.01641583, 104.44406695, 99.69272569,\n", - " 110.94505501, 66.65209592, 107.99303837, 76.80630168,\n", - " 111.13622215, 141.77803304, 107.54518074, 106.94733474,\n", - " 104.7340373 , 110.79024651, 77.80019207, 110.20706893,\n", - " 110.01671808, 124.48523531, 95.21304696, 70.99655842,\n", - " 85.4692383 , 88.53374795, 98.99050034, 98.93100671,\n", - " 86.43043768, 92.86939453, 95.53147241, 93.22203444,\n", - " 97.88560622, 379.9813368 , 85.38044039, 93.21686726,\n", - " 101.21486181, 101.74691088, 84.56532132, 98.04392607,\n", - " 49.7738956 , 102.72896367, 99.5803447 , 98.23042901,\n", - " 47.483922 , 116.56992326, 104.58487524, 104.41339564,\n", - " 96.08948524, 96.41848202, 99.15289256, 103.14524813,\n", - " 103.22932227, 55.95824708, 50.43979817, 107.43596286,\n", - " 84.0316619 , 82.13140859, 114.79712584, 100.91869301,\n", - " 110.29632778, 110.3060337 , 65.12351149, 100.25581126,\n", - " 126.1826083 , 133.27625284, 104.35960644, 117.96052561,\n", - " 103.3917042 , 102.95146044, 99.24146374, 105.4721403 ,\n", - " 104.45037964, 101.04526712, 106.5138053 , 102.22721101,\n", - " 146.09935337, 103.51182452, 92.56756451, 148.84378042,\n", - " 109.5375491 , 121.79005583, 114.85030003, 149.55974182,\n", - " 118.94563177, 98.60297871, 100.08335627, 106.87099659,\n", - " 110.10094711, 147.83920488, 93.51608783, 93.04139321,\n", - " 128.10944745, 126.93953123, 106.95713903, 99.50678113,\n", - " 105.90588037, 105.61337782, 103.90521598, 106.06922807,\n", - " 114.90305813, 110.53932995, 109.44431704, 109.45946522,\n", - " 95.22132631, 93.11645852, 99.56163935, 107.86630592,\n", - " 102.8741489 , 110.17034112, 110.05059942, 99.10914217,\n", - " 102.3783222 , 119.62349947, 108.92127005, 85.6880066 ,\n", - " 143.7470982 , 147.72321573, 117.26814652, 102.0071226 ,\n", - " 96.80888674, 97.51683503, 107.61621176, 59.32939445,\n", - " 60.22797922, 109.96263435, 105.01148741, 100.69133754,\n", - " 108.74226764, 108.74216818, 136.05474632, 118.19860495,\n", - " 96.72685709, 109.06828645, 98.42941015, 104.0207131 ,\n", - " 97.43757117, 87.65013633, 76.1676788 , 110.1196266 ,\n", - " 110.78236306, 88.53134493, 88.4387904 , 108.85963481,\n", - " 111.41815516, 97.58805899, 105.92489237, 94.87275238,\n", - " 92.71134728, 67.54445272, 98.24001863, 92.91778177,\n", - " 93.8190005 , 81.44048661, 74.09957598, 103.15249973,\n", - " 66.52082132, 105.68580886, 108.96452072, 108.90697277,\n", - " 99.55587869, 103.68470771, 138.03879296, 104.29258555,\n", - " 110.5363565 , 145.7742326 , 100.96425111, 105.76256467,\n", - " 138.66113553, 103.21482215, 103.14248093, 98.28375602,\n", - " 108.67046169, 109.16142799, 109.70409955, 128.32692385,\n", - " 124.77618864, 127.43137269, 110.03211849, 93.30490782,\n", - " 112.15199321, 112.15236855, 124.32307345, 123.70041776,\n", - " 99.37077467, 70.40222316, 88.94488179, 118.16535114,\n", - " 101.62179459, 105.80296535, 88.57744198, 87.98191437,\n", - " 99.05833408, 98.53819666, 104.88240014, 108.9482253 ,\n", - " 117.31341523, 115.6327941 , 111.82646255, 99.48994086,\n", - " 89.10781892, 98.93950463, 107.11600288, 117.12973346,\n", - " 110.45674609, 106.58265569, 94.98438512, 107.68027169,\n", - " 104.22956045, 117.65477464, 75.01431995, 63.97378219,\n", - " 73.21911287, 96.13704731, 96.23667586, 147.14274643,\n", - " 115.32641994, 103.70246632, 107.71700531, 110.86758356,\n", - " 99.10578038, 109.82976386, 99.46873338, 62.4844343 ,\n", - " 63.99785384, 102.65839867, 94.37318449, 92.98145321,\n", - " 104.55066837, 67.69617681, 86.07228007, 96.62578825,\n", - " 108.84250791, 132.84363941, 88.48364745, 94.19558207,\n", - " 95.45921958, 109.80971199, 109.59721705, 101.57074428,\n", - " 103.02755691, 97.69180423, 124.08763262, 121.23462368,\n", - " 85.12111022, 106.25480362, 105.96050622, 103.3514916 ,\n", - " 107.89514358, 86.13362271, 103.29792197, 85.72040338,\n", - " 76.39381135, 74.61416159, 146.34548359, 114.63447739,\n", - " 68.16534352, 70.1086075 , 127.54202044, 115.68676891,\n", - " 87.3456129 , 134.39093016, 72.63423368, 93.2767293 ,\n", - " 103.21979151, 107.89592169, 98.44354802, 105.2994378 ,\n", - " 107.77891115, 105.1828374 , 108.10208935, 107.37174458,\n", - " 125.31063311, 106.86443269, 101.55901027, 108.3923503 ,\n", - " 80.34938105, 79.92855994, 146.62826195, 146.90607695,\n", - " 106.59255433, 75.26317226, 86.7620078 , 94.44134951,\n", - " 108.74159918, 103.54529809, 85.14665316, 83.85426754,\n", - " 99.56846193, 101.49601815, 102.26717182, 105.51210485,\n", - " 105.08078282, 106.28955046, 106.29570735, 137.37122917,\n", - " 100.26873577, 100.81359373, 92.26256842, 90.5702286 ,\n", - " 143.77367241, 140.51382688, 110.14460648, 105.38869721,\n", - " 117.69229418, 102.71393994, 143.73964575, 117.58350345,\n", - " 102.49202532, 102.15313298, 106.38106902, 118.20980015,\n", - " 93.75037444, 69.78368467, 108.01198961, 106.00565654,\n", - " 102.23477056, 99.45087587, 100.49372475, 104.59143806,\n", - " 146.66369051, 141.23167537, 108.29299883, 98.59060147,\n", - " 102.67981067, 100.89405074, 107.01814602, 106.98947599,\n", - " 109.84234401, 132.9768628 , 143.40264398, 111.55254843,\n", - " 111.81094905, 109.45956358, 108.7075039 , 106.39654953,\n", - " 100.03130241, 109.30033845, 100.6710344 , 97.30244868,\n", - " 105.39385659, 96.87457807, 83.2347626 , 139.40969458,\n", - " 89.92440775, 128.754413 , 106.01391182, 108.35885644,\n", - " 106.64084227, 90.04257894, 45.276583 , 112.19480013,\n", - " 113.66289946, 120.94115579, 105.93112087, 106.46781839,\n", - " 101.99935152, 65.04036658, 88.20154119, 109.40071732,\n", - " 100.26016614, 82.4232943 , 121.66119284, 109.21007725,\n", - " 110.45936405, 108.92582869, 70.47475447, 111.82330145,\n", - " 81.62634552, 100.98409901, 106.03174374, 111.05740919,\n", - " 108.81349047, 99.99551122, 99.96197354, 113.84752525,\n", - " 70.81802692, 145.03729223, 94.94331902, 70.61280992,\n", - " 109.17702999, 107.99581355, 76.82391727, 80.31508028,\n", - " 99.74542984, 107.32046886, 91.25010945, 100.79440607,\n", - " 100.80563338, 107.42022922, 98.84102509, 105.36880253,\n", - " 104.4010516 , 123.77165456, 105.64035933, 77.78397872,\n", - " 108.49458694, 101.45941182, 86.9945109 , 109.08830352,\n", - " 98.85957011, 83.99932896, 108.00418881, 77.66580747,\n", - " 125.96134245, 127.91746843, 97.90055531, 103.4647988 ,\n", - " 102.4941872 , 110.51599618, 73.44604263, 110.81445274,\n", - " 94.4225339 , 93.84264776, 96.9318962 , 116.23841189,\n", - " 59.95573268, 61.28803016, 89.62959184, 108.75502662,\n", - " 71.86322341, 60.89392734, 53.39888379, 110.11592624,\n", - " 111.26990192, 103.37765664, 94.64599163, 47.6374045 ,\n", - " 107.56149102, 98.38737476, 110.72316545, 98.96948679,\n", - " 102.4708129 , 105.68134394, 100.83978731, 110.39490386,\n", - " 104.92680582, 94.22716041, 106.93553492, 100.55625887,\n", - " 110.76849399, 137.96093466, 101.65716095, 109.44373524,\n", - " 83.1833448 , 70.24666002, 110.11752523, 107.29343136,\n", - " 108.33706145, 108.82344228, 115.48258374, 135.25694081,\n", - " 96.58955724, 116.67017922, 117.3584978 , 120.34142417,\n", - " 108.74095569, 106.89809805, 95.65526198, 81.85938059,\n", - " 82.11771136, 103.77542491, 100.85603309, 111.38723171,\n", - " 95.45441427, 55.32388785, 55.58045111, 79.85704829,\n", - " 110.56916667, 108.92841258, 84.89166109, 104.80042717,\n", - " 110.17369725, 105.8344546 , 91.64162141, 88.2037204 ,\n", - " 105.19694401, 110.37250812, 110.75614399, 109.9185103 ,\n", - " 110.2645837 , 100.53499575, 105.81593727, 110.46199227,\n", - " 97.699499 , 111.48813932, 84.80285574, 105.70815865,\n", - " 107.28084585, 108.2907124 , 107.00070401, 106.89054243,\n", - " 108.68015708, 100.95954874, 139.1749837 , 124.31809434,\n", - " 147.66071224, 126.78212907, 96.86019285, 95.89938361,\n", - " 98.77089335, 108.30558867, 109.37035679, 108.07923151,\n", - " 136.45703222, 109.44306675, 111.7984197 , 78.09606492,\n", - " 136.41601554, 100.505733 , 99.04876264, 88.55308225,\n", - " 109.96659779, 82.88258413, 121.32889712, 109.74548023,\n", - " 119.71214642, 106.19213993, 99.86859169, 98.2304396 ,\n", - " 99.39778344, 124.3857599 , 141.80355659, 107.26935991,\n", - " 107.27633536, 106.73118864, 60.94328721, 108.96750429,\n", - " 107.82257429, 100.53690962, 98.3867823 , 101.98704121,\n", - " 83.79707138, 100.66893417, 87.75463439, 97.69654662,\n", - " 86.55721643, 94.35224323, 108.82508578, 99.266035 ,\n", - " 100.01947113, 106.18633652, 106.78463715, 83.79000724,\n", - " 106.13256933, 100.17590427, 99.45916031, 72.74117127,\n", - " 123.53706162, 106.27628907, 98.50804507, 104.76173428,\n", - " 140.76924533, 98.30383874, 100.38757808, 115.61928365,\n", - " 105.99158198, 106.28421587, 101.47536948, 110.21553969,\n", - " 132.48823936, 99.47384921, 104.47660533, 101.90180131,\n", - " 103.7216613 , 101.41702484, 99.85678003, 99.13650495,\n", - " 99.8464184 , 108.3945349 , 99.38880982, 103.0045734 ,\n", - " 107.34341382, 97.04127392, 105.41201631, 101.01890934,\n", - " 101.88797904, 129.74244848, 77.59315187, 88.92416194,\n", - " 107.78554948, 76.00550665, 55.74093223, 80.0079951 ,\n", - " 107.06800215, 104.75036705, 120.18678856, 122.25920837,\n", - " 111.81454563, 79.51854453, 101.79398843, 105.02113685,\n", - " 107.80406307, 136.64521169, 86.19157951, 149.47224101,\n", - " 114.69007183, 82.79836148, 81.05272577, 147.27157348,\n", - " 101.56430593, 102.52703486, 113.81611593, 106.22294376,\n", - " 81.86943405, 81.47392985, 109.08135079, 108.69761889,\n", - " 101.63610987, 109.63770442, 105.23395301, 138.79307632,\n", - " 107.26149616, 147.3716512 , 92.62821806, 111.74698088,\n", - " 111.78849518, 106.42518216, 100.10664034, 108.7414597 ,\n", - " 109.43346149, 102.35560709, 104.41826434, 107.93201999,\n", - " 111.10477037, 76.74496314, 98.7473218 , 105.34972678,\n", - " 96.68309349, 99.47007909, 68.00532991, 102.61205893,\n", - " 102.0924456 , 101.075636 , 109.89496789, 107.9810727 ,\n", - " 87.00130901, 85.71171217, 115.17287352, 81.42067985,\n", - " 98.83392 , 120.94781872, 102.07004776, 106.60758921,\n", - " 99.45687009, 99.4568523 , 108.74219645, 100.6188977 ,\n", - " 99.37757851, 111.34759228, 110.75037489, 79.8847483 ,\n", - " 74.43837977, 110.01788296, 109.34532482, 70.11012936,\n", - " 91.66948119, 108.25749338, 102.77518963, 74.02987624,\n", - " 120.80703738, 86.9208952 , 101.88249987, 96.18362843,\n", - " 108.42637761, 77.13998621, 81.02067644, 110.90710363,\n", - " 86.8803354 , 104.38752361, 101.82803109, 67.19577129,\n", - " 104.26365482, 92.44203942, 115.72077981, 103.89442491,\n", - " 98.17320054, 97.81519383, 129.27155266, 54.91744146,\n", - " 75.48491959, 111.13160295, 84.72922835, 88.89700496,\n", - " 77.3937151 , 96.00146519, 73.91048519, 90.27087812,\n", - " 125.51192274, 86.74758422, 81.28253209, 84.76191102,\n", - " 101.08333332, 103.61902426, 72.15601231, 90.70309849,\n", - " 109.89605331, 77.32944952, 79.44861048, 103.30852457,\n", - " 106.37808243, 105.34539854, 100.47831332, 89.11838227,\n", - " 111.81715195, 105.39978888, 103.01491236, 58.31680107,\n", - " 120.59555615, 108.14667706, 99.88538643, 100.13525156,\n", - " 80.02359002, 107.82114201, 104.9687271 , 99.88663579,\n", - " 82.97929656, 106.04439116, 149.03570638, 100.5260507 ,\n", - " 82.58820182, 99.37086304, 108.97740829, 108.40258149,\n", - " 73.5978962 , 87.23523076, 85.96855919, 94.72391484,\n", - " 104.06609035, 94.40868636, 101.98983392, 101.02526971,\n", - " 109.73008192, 79.86244945, 105.80802494, 100.76837947,\n", - " 119.40488062, 100.57301287, 54.25114173, 99.47225591,\n", - " 111.81637138, 58.33676719, 86.91854523, 101.53824594,\n", - " 99.17561916, 100.27178275, 80.43077768, 104.89648204,\n", - " 74.75957854, 97.90886955, 99.66192409, 88.39084304,\n", - " 107.12807846, 83.94213827, 102.41975145, 69.13490286,\n", - " 93.64978253, 81.32542687, 86.92192026, 103.45029984,\n", - " 53.4243352 , 76.39111796, 98.78010802, 67.72816403,\n", - " 106.28928345, 109.53758499, 107.20386409, 104.93626253,\n", - " 94.42253313, 108.74151419, 86.80708276, 108.79295186,\n", - " 97.07845229, 126.34495562, 105.24548213, 102.06103271,\n", - " 98.44678498, 99.62663338, 100.48710801, 98.20340036,\n", - " 97.58455278, 103.69908193, 95.21502459, 147.59377357,\n", - " 149.02333522, 68.31138665, 99.67286738, 135.45255027,\n", - " 118.65551836, 101.60661253, 111.8145456 , 100.66363124,\n", - " 62.34556122, 146.98712541, 97.92270728, 72.98780491,\n", - " 102.52601893, 73.98359033, 102.80370906, 96.65555956,\n", - " 107.05963496, 108.65813013, 133.37757438, 108.24311605,\n", - " 97.57103823, 96.68623364, 99.79103146, 108.08786043,\n", - " 88.610365 , 82.11432894, 128.86436499, 98.5811296 ,\n", - " 121.40936273, 88.71246332, 98.64263007, 99.35815442,\n", - " 104.66272936, 100.01171688, 101.46210544, 101.49503612,\n", - " 107.96185399, 109.81412876, 102.53642524, 112.01006847,\n", - " 82.76769145, 139.66853631, 107.09958092, 89.58240453,\n", - " 82.1571169 , 100.28165716, 98.74949026, 55.40709239,\n", - " 108.04181656, 134.99136597, 99.04231244, 101.10974197,\n", - " 86.07476418, 100.63522917, 102.12392323, 95.09386571,\n", - " 105.77826376, 63.05411301, 105.13571026, 109.00684424,\n", - " 64.59275101, 78.07743892, 100.95576947, 102.73327335,\n", - " -1.6634491 , 82.249481 , 74.34802757, 160.4421163 ,\n", - " 99.34308071, -0.43032614, -0.79427219, 109.53527575,\n", - " 79.70187235, 100.18619797, 115.76899452, 33.73211843,\n", - " 40.15869781, 134.41064832, 80. , 39.99 ,\n", - " 251.85700935, 150. , 1.72776122, 180.90955855,\n", - " 252.18129082, 100.07735167, 164.94784708, 110.94331876,\n", - " 110.32594949, -0.45737171, 174.58345515, 56.60212077,\n", - " 74.99063367, 175.77999095, 121.64687856, 133.74929952,\n", - " 101.58804406, 75.90046664, 139.99 , 181.40938093,\n", - " 0. , 0. , 62.23500554, 76.99066867,\n", - " 46.194113 , 68.80633158, 33.42580628, 40.12864027,\n", - " 27.2089893 , 36.23142284, 58.53675607, 51.20905449,\n", - " 53.79775182, 54.91721673, 60.09678909]), array([101.4000519 , 133.67808928, 106.5148333 , 80.14680858,\n", - " 110.09630157, 110.45747824, 111.3980896 , 107.16896167,\n", - " 93.30206658, 61.31045405, 110.27778875, 111.49454202,\n", - " 102.33851164, 101.95561956, 103.07600275, 104.57626066,\n", - " 92.31877877, 92.75214377, 90.51527558, 101.59532666,\n", - " 104.09285273, 103.0759827 , 100.80787129, 107.1667103 ,\n", - " 111.60266792, 110.11761604, 100.67074345, 84.84063051,\n", - " 58.47587892, 149.12510647, 107.56205541, 90.01897882,\n", - " 94.311391 , 68.41998042, 105.61109001, 74.56279208,\n", - " 94.65974966, 85.1025028 , 50.96347734, 65.45862864,\n", - " 99.64177934, 101.98990742, 104.68115724, 100.23352043,\n", - " 110.93621568, 66.63610731, 108.02365345, 76.50028567,\n", - " 111.11887463, 141.79477843, 107.59456704, 106.98981827,\n", - " 104.72469084, 110.78132384, 77.77368365, 110.18056052,\n", - " 109.99020967, 124.62066547, 95.2415228 , 71.13198857,\n", - " 86.0566909 , 90.10994455, 99.00433145, 98.94483781,\n", - " 86.51530903, 92.95426588, 95.55164782, 93.24220985,\n", - " 97.97048143, 380.24781114, 85.46531238, 93.3017342 ,\n", - " 101.27937104, 101.81142011, 85.07472324, 98.07454115,\n", - " 49.80451067, 102.76391585, 99.61495535, 98.24426012,\n", - " 47.63843049, 116.70536942, 104.7203214 , 104.10737964,\n", - " 96.62344869, 96.92168249, 99.23776829, 103.1866971 ,\n", - " 103.27017348, 56.04311531, 50.5246673 , 107.45613827,\n", - " 84.11653382, 82.21627994, 114.93257119, 101.05413835,\n", - " 110.28740511, 110.29711103, 65.14478671, 100.27708647,\n", - " 126.31814773, 133.27625284, 104.3904103 , 117.96052561,\n", - " 103.24443454, 102.80324137, 99.25529485, 105.51493351,\n", - " 104.59118603, 101.181687 , 106.56074791, 102.27415362,\n", - " 146.09935337, 103.46621029, 92.52195029, 148.84378042,\n", - " 109.58449171, 118.5587048 , 111.618949 , 149.55974182,\n", - " 118.94563177, 98.54737783, 100.02833961, 106.82134187,\n", - " 110.0512924 , 147.91543405, 93.65909367, 93.18439906,\n", - " 128.06741981, 126.90153191, 106.93063062, 99.48027271,\n", - " 105.94957658, 105.65689103, 103.91904709, 106.08305917,\n", - " 114.82393892, 110.51282154, 109.43107281, 109.44532907,\n", - " 95.26909666, 93.16422887, 99.57547045, 107.88013703,\n", - " 102.91492758, 110.08209682, 109.95216666, 99.03002297,\n", - " 102.39849761, 119.70073904, 108.94144546, 85.95753186,\n", - " 143.7470982 , 147.73996112, 117.42265501, 102.05406521,\n", - " 96.86217479, 97.57107026, 107.70016391, 59.25368324,\n", - " 60.1884211 , 109.94619983, 105.02531851, 100.70516865,\n", - " 108.75609875, 108.75599928, 136.13119189, 118.27062102,\n", - " 96.77987824, 109.15223859, 98.71023321, 104.30153617,\n", - " 97.48969571, 87.7350034 , 76.25254587, 110.09926383,\n", - " 110.76698449, 88.61621197, 88.52365745, 108.83354882,\n", - " 111.5021073 , 97.86371107, 106.1927544 , 95.42983833,\n", - " 93.26514023, 67.44238105, 99.28266895, 93.96043209,\n", - " 94.28400422, 81.90549033, 74.09605405, 103.11125583,\n", - " 66.51729939, 105.74916915, 109.02655875, 108.96214395,\n", - " 99.58886806, 103.71769708, 138.05495788, 104.28320431,\n", - " 110.5229206 , 145.79097799, 100.88301333, 105.99268748,\n", - " 135.25605392, 103.08749687, 103.01049961, 98.83857093,\n", - " 109.24739245, 109.14980094, 109.69251779, 128.29433964,\n", - " 124.74018836, 128.11791582, 109.99819278, 93.27098211,\n", - " 112.11946446, 112.11969544, 124.2937559 , 123.67075199,\n", - " 113.73945049, 84.77089898, 89.02974886, 118.16535114,\n", - " 102.66444491, 112.29210116, 88.66230906, 88.06678145,\n", - " 99.14321295, 98.81384874, 104.90257555, 108.96950052,\n", - " 117.31341523, 115.6327941 , 112.06133814, 99.52488682,\n", - " 99.05079587, 98.98614896, 107.03458566, 117.28424195,\n", - " 110.43559065, 106.67295562, 95.07468505, 107.73443762,\n", - " 104.30433193, 117.65477464, 78.91102817, 73.91675914,\n", - " 77.11582108, 96.26221937, 96.3220148 , 147.2189756 ,\n", - " 115.46195036, 107.05192289, 107.70572229, 110.85433934,\n", - " 99.19277129, 109.91372809, 99.55572429, 62.93886192,\n", - " 64.45228146, 103.27390734, 94.98869316, 92.8115245 ,\n", - " 104.40724892, 71.59288503, 86.09245548, 96.64596366,\n", - " 108.89025293, 132.91986859, 88.48012552, 94.19206014,\n", - " 96.01515352, 109.82354309, 109.61104816, 101.64643413,\n", - " 102.89431615, 97.97751796, 124.04560498, 121.19259604,\n", - " 85.58611394, 106.51993545, 106.22561228, 103.39107395,\n", - " 107.93472592, 86.22392264, 103.15176714, 85.81070331,\n", - " 76.47868221, 74.69903245, 146.43626513, 114.72143537,\n", - " 68.16182159, 70.10508557, 128.15752911, 116.30227758,\n", - " 87.42130275, 134.5264696 , 72.70992353, 93.19659335,\n", - " 103.25236916, 107.92849934, 98.41535255, 105.38973773,\n", - " 107.86921108, 105.1966685 , 108.11592046, 107.36163677,\n", - " 125.44617254, 106.85488763, 101.52944882, 108.3801671 ,\n", - " 80.34585911, 79.92503801, 140.17885986, 140.4117889 ,\n", - " 106.58486543, 75.33886211, 87.21643543, 94.43782758,\n", - " 108.75543028, 103.39707902, 85.4416606 , 84.17310217,\n", - " 99.54195352, 101.50984926, 102.12338145, 105.56270256,\n", - " 105.07399583, 106.28130686, 106.28747475, 137.37122917,\n", - " 100.26521384, 100.80762908, 92.34743539, 90.65509557,\n", - " 143.77367241, 140.51382688, 110.12890555, 105.24490685,\n", - " 117.84680267, 102.86844843, 143.73964575, 117.58350345,\n", - " 102.53633715, 102.19784419, 106.39932335, 118.17180082,\n", - " 93.78098952, 69.81429975, 108.22217801, 106.07975967,\n", - " 102.19877028, 99.49946742, 100.5547742 , 104.58208056,\n", - " 146.66369051, 141.23167537, 108.33359781, 98.58707954,\n", - " 102.72387795, 100.93953813, 107.06680299, 106.98014987,\n", - " 109.83389777, 133.59237147, 144.01815265, 111.80926005,\n", - " 112.05037051, 109.41957852, 108.66777256, 106.3872103 ,\n", - " 100.07760586, 109.38522303, 101.13603812, 97.33306375,\n", - " 105.4783335 , 96.95944238, 83.2347626 , 139.40969458,\n", - " 90.48227397, 128.71238537, 109.83598468, 108.40898877,\n", - " 106.59522805, 89.99696472, 45.30719808, 112.14940393,\n", - " 113.62667119, 120.94115579, 105.98218122, 106.51948713,\n", - " 108.48848732, 68.86243944, 94.69067699, 109.48466947,\n", - " 100.34411829, 82.56630015, 121.80419868, 109.2426549 ,\n", - " 110.42669661, 108.89316125, 70.23512233, 112.06074109,\n", - " 82.08077314, 101.1386075 , 106.10683771, 111.02945479,\n", - " 109.89015135, 100.02552263, 99.99198884, 113.81494104,\n", - " 70.90289399, 145.05403762, 95.01900887, 71.06723755,\n", - " 109.20753591, 108.02938836, 79.09765417, 82.37627707,\n", - " 99.57905363, 107.29128365, 91.79089921, 100.82436362,\n", - " 100.83563194, 107.35590926, 98.83385028, 105.37596874,\n", - " 104.41667767, 123.907194 , 105.6709744 , 77.81459379,\n", - " 108.45609442, 101.4137976 , 86.93816117, 109.07704071,\n", - " 99.90222042, 83.99213671, 108.01801991, 78.62558443,\n", - " 122.72999142, 124.6861174 , 97.94832566, 103.25642838,\n", - " 102.30014912, 110.75000192, 73.65645836, 111.04845848,\n", - " 94.95285027, 94.37296413, 96.98127981, 116.32919342,\n", - " 61.01573936, 62.34803684, 89.60110556, 108.7956256 ,\n", - " 72.07363914, 64.79063556, 53.85331142, 110.12975735,\n", - " 111.52680242, 103.41613214, 94.66026316, 47.65167602,\n", - " 107.53022169, 98.34131507, 110.71003995, 98.89036874,\n", - " 102.5304985 , 105.67459912, 100.8364653 , 110.36223072,\n", - " 104.8811916 , 94.18154618, 106.98671652, 100.61847056,\n", - " 110.75542394, 138.10394051, 106.43546846, 114.22204275,\n", - " 83.14711654, 70.21043175, 110.1018243 , 107.33488033,\n", - " 108.31380605, 108.80018687, 115.4357281 , 135.27368621,\n", - " 96.67153217, 116.62351718, 117.31183575, 120.41867395,\n", - " 108.75476568, 106.91190804, 96.71526865, 81.81376637,\n", - " 82.07209713, 103.75058951, 100.71224272, 111.36397631,\n", - " 96.01051692, 55.40875561, 55.66531924, 79.94191916,\n", - " 110.56059048, 108.91959611, 84.91293631, 104.82306723,\n", - " 110.16301267, 105.85709466, 91.66426146, 88.28858747,\n", - " 105.05495661, 110.38904062, 110.77493413, 109.85337919,\n", - " 110.161406 , 100.54882685, 105.81593727, 110.45244648,\n", - " 97.52830969, 111.64264781, 86.37905234, 105.66736146,\n", - " 107.20911546, 108.31088781, 106.89051698, 106.96623648,\n", - " 108.69411678, 101.0039618 , 139.37061395, 121.0867433 ,\n", - " 147.66071224, 126.78212907, 96.87462824, 95.91378128,\n", - " 99.03730774, 108.29432217, 109.35719131, 108.06796434,\n", - " 136.59256909, 109.42991215, 112.03985191, 79.67226151,\n", - " 137.03152421, 100.35812058, 99.09697852, 88.98536116,\n", - " 109.93315394, 82.83718793, 121.32889712, 113.56755309,\n", - " 119.69242177, 106.13842419, 100.4234066 , 98.22320866,\n", - " 99.3905583 , 124.36428194, 141.93898271, 107.31872086,\n", - " 107.15267705, 110.5532615 , 60.74841334, 109.55254333,\n", - " 107.78998683, 100.49889803, 99.45110967, 101.94142699,\n", - " 83.75145716, 100.66192741, 87.7684655 , 98.31205529,\n", - " 86.86778994, 94.8930482 , 109.05909152, 99.30681368,\n", - " 100.06024981, 106.21891417, 106.8172148 , 84.4055159 ,\n", - " 106.1648848 , 100.20821974, 114.03441502, 73.05174479,\n", - " 117.08765954, 99.82688699, 99.55069539, 104.79234936,\n", - " 137.5378943 , 98.24744984, 100.35623078, 115.58563912,\n", - " 105.95793744, 106.27529321, 112.21002101, 110.20661703,\n", - " 126.03883727, 99.57360512, 104.52869208, 101.75801095,\n", - " 103.57787094, 101.20720965, 99.94707996, 99.22680488,\n", - " 100.88906872, 108.44618049, 100.43146013, 103.04419092,\n", - " 107.35724492, 97.05554541, 105.49640838, 100.87511898,\n", - " 101.74418868, 129.71374662, 77.91181006, 89.34914949,\n", - " 107.82722728, 76.30663435, 56.04205993, 80.31924697,\n", - " 106.98523805, 104.66760296, 120.80229723, 122.41371687,\n", - " 112.05338972, 81.57974132, 101.8362121 , 112.38489369,\n", - " 107.82670313, 136.64521169, 86.22219458, 149.47224101,\n", - " 114.82560871, 82.79483955, 81.04920384, 147.27157348,\n", - " 101.60670986, 102.50052645, 114.43162459, 106.83845242,\n", - " 81.82381983, 81.42831563, 109.11196587, 108.96275071,\n", - " 101.60389822, 109.72198474, 105.28455072, 138.92860674,\n", - " 107.27532726, 147.3716512 , 93.62724458, 111.99667128,\n", - " 112.03152036, 106.47685094, 100.07517089, 108.75529081,\n", - " 109.42216964, 102.21181673, 104.40891257, 108.08022097,\n", - " 111.09999749, 77.05666992, 99.01366314, 105.6149273 ,\n", - " 96.51172587, 99.29871147, 68.45975754, 102.51487076,\n", - " 102.04511581, 101.0682086 , 109.88440874, 107.99490381,\n", - " 86.95165429, 85.56409974, 115.32738201, 81.37506563,\n", - " 98.81419536, 120.91602268, 102.15990421, 106.57579317,\n", - " 114.0321248 , 114.03210701, 108.75602755, 100.45665486,\n", - " 99.16269333, 111.60369689, 111.0064795 , 79.8775525 ,\n", - " 74.43118398, 110.10276935, 109.30786651, 70.32054509,\n", - " 91.6138803 , 108.24798143, 102.81649627, 74.32963045,\n", - " 120.80703738, 87.46386305, 101.93451865, 96.15712002,\n", - " 108.47804635, 77.16016161, 80.98919205, 111.5226123 ,\n", - " 87.43515031, 104.40314892, 101.85331574, 81.771026 ,\n", - " 104.31574157, 92.41553101, 115.72077981, 103.92741427,\n", - " 98.12765857, 97.82902494, 129.27155266, 54.93168478,\n", - " 75.56979046, 111.69144646, 84.68361413, 89.51251363,\n", - " 77.36027124, 96.03208027, 73.94110026, 90.80119449,\n", - " 125.51192274, 86.79818193, 81.27901016, 85.37741969,\n", - " 100.99647703, 103.77353276, 72.36642804, 90.67378095,\n", - " 109.98031677, 77.32592759, 79.75986236, 103.46303306,\n", - " 106.42975121, 105.39706732, 100.47079031, 89.09187386,\n", - " 112.05557796, 105.25599852, 103.05354065, 58.40166814,\n", - " 114.14615407, 108.28212139, 99.74159607, 99.9914612 ,\n", - " 80.07418774, 107.84007998, 105.11173295, 99.97693572,\n", - " 83.11473779, 106.09605994, 149.03570638, 100.51970146,\n", - " 82.67306927, 99.63872507, 108.99714123, 101.9531794 ,\n", - " 75.8716331 , 87.2070353 , 87.54475578, 94.49238903,\n", - " 103.93284959, 94.54412975, 102.04406915, 101.01840224,\n", - " 109.68407218, 80.31687708, 106.42353361, 100.76505746,\n", - " 103.52346609, 100.42922251, 54.56239361, 99.31001307,\n", - " 111.78373787, 58.10524138, 86.86889051, 101.38594387,\n", - " 99.08802486, 100.12799238, 80.51564854, 104.91031315,\n", - " 74.91408703, 97.73768025, 99.65530709, 88.93379053,\n", - " 107.1823137 , 83.76181319, 102.26744939, 71.40863975,\n", - " 94.2652912 , 81.86839472, 87.0649261 , 103.51480908,\n", - " 53.87876283, 76.26151625, 99.0557601 , 68.7924914 ,\n", - " 106.2810415 , 109.58452888, 107.18060869, 104.99731198,\n", - " 94.9528495 , 108.7553453 , 86.7520661 , 108.80676181,\n", - " 97.35410437, 126.49946411, 105.25931323, 102.59497907,\n", - " 98.71310318, 99.64680879, 100.75358234, 98.46987469,\n", - " 98.62720309, 103.93409671, 95.45003937, 147.61051896,\n", - " 149.02333522, 70.58512355, 99.68669848, 135.64818052,\n", - " 118.65551836, 102.64926285, 112.05338969, 100.67738458,\n", - " 62.34203929, 147.00387081, 97.94288269, 73.13081076,\n", - " 102.56236082, 74.05928019, 103.04388288, 96.69869884,\n", - " 106.94930443, 108.68863604, 133.37757438, 108.27865504,\n", - " 98.61368855, 96.70640905, 99.57966317, 108.29804884,\n", - " 89.15333285, 82.65729679, 128.99979591, 98.61978793,\n", - " 121.40936273, 89.24788643, 98.63666542, 99.35092928,\n", - " 104.92783542, 100.02552688, 101.69611117, 101.72904185,\n", - " 108.00143634, 110.34060855, 102.57749262, 111.97746367,\n", - " 82.85799138, 136.43718527, 107.36468698, 89.66727147,\n", - " 82.24198384, 100.51874744, 99.36499893, 55.56160088,\n", - " 108.08061297, 131.76001494, 99.30865378, 101.24616185,\n", - " 85.93097382, 100.49143881, 101.98013286, 95.10813724,\n", - " 105.81970155, 63.07428842, 105.0081502 , 109.02658729,\n", - " 64.5767624 , 78.28785465, 100.80815704, 102.58566092,\n", - " -1.6634491 , 83.2488435 , 76.79888033, 160.45342587,\n", - " 114.03441502, -0.43032687, -0.79427239, 109.59720705,\n", - " 80.64065147, 100.15037314, 115.6936868 , 33.79611051,\n", - " 40.17887321, 134.54607924, 80. , 39.99 ,\n", - " 282.79524361, 150. , 1.72776122, 181.93523525,\n", - " 283.0416867 , 100.04928115, 149.06643256, 110.9259851 ,\n", - " 110.32117764, -0.45736216, 174.67590076, 56.54843554,\n", - " 75.23163071, 175.9062444 , 121.63088995, 133.88483896,\n", - " 101.61884791, 75.88447803, 139.99 , 182.43534108,\n", - " 0. , 0. , 62.29811412, 77.01627105,\n", - " 46.194113 , 68.82325773, 33.58141578, 40.32916786,\n", - " 27.10651276, 36.21543423, 58.55049568, 51.45309053,\n", - " 53.52753605, 54.97593516, 59.94315929]), array([101.77777338, 133.73394555, 105.79445631, 79.42643159,\n", - " 109.6725723 , 109.99363588, 110.93503456, 106.96213992,\n", - " 92.51811137, 60.5048438 , 109.6801272 , 110.91560755,\n", - " 102.42339194, 101.72027079, 102.65949894, 104.15975685,\n", - " 92.01018499, 92.37656581, 90.0505369 , 101.13058799,\n", - " 103.88567848, 102.87270573, 100.38958917, 107.18441593,\n", - " 111.09441393, 109.62848069, 100.25185765, 84.19559829,\n", - " 57.83084669, 149.18162447, 104.0787938 , 88.98198713,\n", - " 93.26930485, 67.92887314, 105.00482954, 74.07168422,\n", - " 94.16865236, 84.6114055 , 50.47237229, 64.96752222,\n", - " 99.22200595, 101.57013403, 104.07837672, 99.69507583,\n", - " 110.4972329 , 66.58315747, 107.99289335, 76.47233627,\n", - " 110.67295977, 141.8506347 , 107.37076651, 106.72714405,\n", - " 104.28824347, 110.34274914, 77.35391027, 109.76078713,\n", - " 109.57043628, 125.0748447 , 95.3256717 , 71.5861678 ,\n", - " 84.77987284, 85.67494359, 99.05087341, 98.99137977,\n", - " 86.02419823, 92.46315508, 95.56935345, 93.25991549,\n", - " 97.47935874, 379.6967055 , 84.9741996 , 92.8106369 ,\n", - " 101.09099055, 101.62303962, 84.14404904, 98.04378105,\n", - " 49.77375058, 102.71293651, 99.56556879, 98.29080208,\n", - " 48.15017016, 117.15955078, 105.17450277, 104.07943024,\n", - " 95.48015504, 95.82102466, 98.74664399, 103.10564274,\n", - " 103.19188708, 55.55201408, 50.03356332, 107.4738439 ,\n", - " 83.62542128, 81.72516914, 115.38675245, 101.50831961,\n", - " 109.84883042, 109.85853634, 65.15739409, 100.28969385,\n", - " 126.77234156, 133.27625284, 89.26287803, 117.96052561,\n", - " 102.54627256, 102.10357601, 99.30183681, 105.42765389,\n", - " 104.03450573, 100.64618275, 106.45425113, 102.16765685,\n", - " 146.09935337, 103.47306976, 92.52880976, 148.84378042,\n", - " 109.47799494, 118.53075532, 111.59099952, 149.55974182,\n", - " 118.94563177, 98.67545099, 100.1502336 , 106.88721692,\n", - " 110.11716744, 147.97195205, 94.13613648, 93.66144187,\n", - " 128.11758111, 126.96289377, 106.51085723, 99.06049932,\n", - " 105.85811508, 105.56627709, 103.96558905, 106.12960113,\n", - " 115.12116039, 110.09304815, 109.00374792, 109.01664322,\n", - " 95.34207544, 93.23720765, 99.62201241, 107.92667899,\n", - " 102.83697947, 109.46984239, 109.33504613, 99.32724443,\n", - " 102.41620325, 119.75666885, 108.95915109, 85.40568638,\n", - " 143.7470982 , 147.79581739, 117.93439468, 101.94756843,\n", - " 96.72627925, 97.43078487, 107.21102855, 58.53310642,\n", - " 59.48157289, 109.5131431 , 105.07186047, 100.75171061,\n", - " 108.8026407 , 108.80254124, 136.18758085, 118.32957209,\n", - " 96.64521955, 108.66310324, 98.15564803, 103.74695098,\n", - " 97.35919168, 87.24390568, 75.76144815, 109.64973055,\n", - " 110.32560969, 88.12511435, 88.0325598 , 108.40433447,\n", - " 111.01297195, 97.29900199, 105.62112045, 94.25394495,\n", - " 92.10469165, 66.71179408, 98.76349315, 93.44125629,\n", - " 93.73737664, 81.35886275, 73.69459008, 102.62713204,\n", - " 66.11583542, 105.56633455, 108.85010664, 108.7553222 ,\n", - " 99.54704186, 103.67587088, 138.11118754, 103.84713621,\n", - " 110.08271704, 145.84683427, 100.32709211, 105.38820155,\n", - " 135.22810444, 102.40949278, 102.32774105, 98.29925469,\n", - " 108.70675053, 108.71027494, 109.25305545, 128.37075792,\n", - " 124.80710846, 125.92245668, 109.74413674, 93.01692607,\n", - " 111.52186023, 111.52205528, 124.37814251, 123.75528481,\n", - " 112.71722409, 83.74867258, 88.53865115, 118.16535114,\n", - " 102.14526911, 111.05674331, 88.17121133, 87.57568371,\n", - " 98.65207901, 98.24913966, 104.92028118, 108.9821079 ,\n", - " 117.31341523, 115.6327941 , 111.46037294, 99.2629606 ,\n", - " 98.06324439, 98.76723235, 106.40345896, 117.79598162,\n", - " 109.98476133, 106.65581045, 95.05753989, 107.52577549,\n", - " 104.20286669, 117.65477464, 78.19065118, 72.92920767,\n", - " 76.3954441 , 96.43496061, 96.29203238, 147.2754936 ,\n", - " 115.91614299, 106.35697736, 107.28411338, 110.42701444,\n", - " 99.15771928, 109.42537206, 99.52067228, 62.29382969,\n", - " 63.80724923, 99.79064573, 91.50543155, 92.08188548,\n", - " 103.72131846, 70.87250804, 86.11016111, 96.66366929,\n", - " 108.58817754, 132.97638658, 88.07866155, 93.79059616,\n", - " 94.84203149, 109.87008505, 109.65759012, 100.98334801,\n", - " 102.21028873, 97.42175141, 124.09576628, 121.24275734,\n", - " 85.03948636, 105.96914444, 105.67482738, 103.31866254,\n", - " 107.86231451, 86.20677747, 102.45472844, 85.79355815,\n", - " 75.98757291, 74.20792315, 146.48436359, 114.77174492,\n", - " 67.76035762, 69.7036216 , 124.6742675 , 112.81901597,\n", - " 86.75821662, 134.98066343, 72.04683741, 93.4838787 ,\n", - " 103.21246251, 107.88859269, 98.03327671, 105.37259257,\n", - " 107.85206591, 105.24321046, 108.16246242, 106.94193024,\n", - " 125.90036637, 106.43623893, 101.06486005, 107.94036704,\n", - " 79.94439514, 79.52357403, 140.15091033, 140.38383938,\n", - " 106.17107587, 74.67577599, 86.5714032 , 94.03636361,\n", - " 108.80197224, 102.69741366, 85.22764594, 83.92763917,\n", - " 99.12218013, 101.55639122, 101.42833511, 105.63404497,\n", - " 104.66423484, 105.86800118, 105.87414409, 137.37122917,\n", - " 99.86374987, 100.3953798 , 91.85633798, 90.16399817,\n", - " 143.77367241, 140.51382688, 109.69749259, 104.54986051,\n", - " 118.35854234, 103.3801881 , 143.73964575, 117.58350345,\n", - " 102.29507496, 101.95994611, 106.05988792, 118.23316268,\n", - " 93.75022942, 69.78353965, 107.68494224, 105.97430967,\n", - " 102.26569037, 99.28719036, 100.40039104, 104.14574276,\n", - " 146.66369051, 141.23167537, 108.05513684, 98.18561557,\n", - " 102.48055582, 100.70817784, 106.84050399, 106.56190324,\n", - " 109.41084653, 130.10910986, 140.53489104, 111.2277125 ,\n", - " 111.4534482 , 108.93763946, 108.18638163, 105.96894843,\n", - " 99.85161832, 108.89407156, 100.58941054, 97.30230365,\n", - " 104.9884211 , 96.46835308, 83.2347626 , 139.40969458,\n", - " 89.29913333, 128.76254667, 109.11902875, 108.18786948,\n", - " 106.60208751, 90.00382419, 45.27643798, 112.15139778,\n", - " 113.4240213 , 120.94115579, 105.85660819, 106.3910961 ,\n", - " 107.25312947, 68.1454835 , 93.45531914, 108.99553411,\n", - " 99.85498293, 83.04334296, 122.28124149, 109.20274825,\n", - " 109.82905786, 108.2955225 , 69.45116712, 111.46205627,\n", - " 81.43574091, 101.65034717, 106.00705013, 110.56749176,\n", - " 109.33624246, 99.744988 , 99.71149203, 113.89135932,\n", - " 70.41179627, 145.1098939 , 94.35592274, 70.42220532,\n", - " 109.17708757, 107.98476944, 72.43389284, 76.3917101 ,\n", - " 98.8539791 , 106.82732147, 90.69755345, 100.5433047 ,\n", - " 100.5549722 , 106.73683758, 98.41625462, 105.00938155,\n", - " 104.07603834, 124.36138783, 105.64021431, 77.78383369,\n", - " 107.97725081, 101.42065706, 87.07415429, 108.65529807,\n", - " 99.38304463, 83.57445088, 108.06456187, 78.17366221,\n", - " 122.70204194, 124.65816792, 98.02130444, 102.51231165,\n", - " 101.57216405, 110.14646657, 74.27886342, 110.44492313,\n", - " 93.91379568, 93.33390954, 96.77588598, 116.37729189,\n", - " 60.47883848, 61.81113596, 89.2255276 , 108.51716463,\n", - " 72.69604419, 64.07025857, 53.20827919, 110.17629931,\n", - " 110.94542283, 103.34884442, 94.70481543, 47.69622829,\n", - " 107.0629244 , 97.85030953, 110.28283666, 98.33835941,\n", - " 102.36495044, 105.2637131 , 100.43588333, 109.76459054,\n", - " 104.88805106, 94.18840565, 106.77328882, 100.46948837,\n", - " 110.3282168 , 138.58098332, 105.59951608, 113.38609037,\n", - " 82.94446664, 70.00778185, 109.67041134, 107.25382597,\n", - " 107.85900954, 108.34539037, 115.47246526, 135.32954248,\n", - " 96.62442922, 116.65375166, 117.34207023, 120.47459786,\n", - " 108.80139337, 106.95853572, 96.17836778, 81.82062584,\n", - " 82.0789566 , 103.29342453, 100.01719639, 110.9091798 ,\n", - " 94.83716583, 54.91765578, 55.1742183 , 79.45080985,\n", - " 110.13869519, 108.4998375 , 84.92554369, 104.82891882,\n", - " 109.74121787, 105.86294625, 91.67011305, 87.79748975,\n", - " 104.38851094, 109.83488459, 110.22213373, 109.3182851 ,\n", - " 109.54201917, 100.59536881, 105.81593727, 110.03256279,\n", - " 96.79649956, 112.15438748, 81.94405139, 105.18387643,\n", - " 106.66362204, 108.32859344, 106.2480522 , 106.86954604,\n", - " 108.74009368, 100.76768257, 138.7451949 , 121.05879383,\n", - " 147.66071225, 126.78212907, 96.91843808, 95.9577629 ,\n", - " 98.48621657, 107.87258702, 108.92998653, 107.64623101,\n", - " 137.04676258, 109.00271088, 111.4447178 , 75.23726056,\n", - " 133.5482626 , 99.65908838, 98.88383974, 88.45538324,\n", - " 109.66833464, 82.83918178, 121.32889712, 112.85059716,\n", - " 119.77502576, 106.24655648, 99.88409036, 97.80532241,\n", - " 98.9727022 , 124.44676233, 142.3931614 , 107.09503292,\n", - " 106.50821477, 109.83630556, 59.98258444, 109.01154939,\n", - " 107.32058541, 100.02083507, 98.90979631, 101.94828645,\n", - " 83.75831663, 100.24508031, 87.81500746, 94.82879368,\n", - " 86.97001112, 93.79961323, 108.45555617, 99.22886557,\n", - " 99.9823017 , 106.17900752, 106.77730815, 80.9222543 ,\n", - " 106.12620026, 100.1695352 , 113.01218862, 73.15396597,\n", - " 117.05971001, 99.79893746, 99.0315196 , 104.76158926,\n", - " 137.50994482, 97.74038355, 99.88880083, 115.32530254,\n", - " 105.69760086, 105.83671851, 111.18779457, 109.76804233,\n", - " 126.01088775, 99.60795203, 104.39837926, 101.06296461,\n", - " 102.8828246 , 100.46097061, 99.92993479, 99.20965972,\n", - " 100.36989293, 108.22265589, 99.91228434, 102.97161719,\n", - " 107.40378688, 97.1000978 , 105.00675342, 100.18007264,\n", - " 101.04914234, 129.79787472, 77.9720381 , 88.85704724,\n", - " 107.55647647, 76.45791626, 56.19334185, 80.41794861,\n", - " 106.41871604, 104.10108094, 117.31903562, 122.92545654,\n", - " 111.45595396, 75.59517435, 101.58650637, 111.29407831,\n", - " 107.83255472, 136.64521169, 86.19143448, 149.47224101,\n", - " 115.27980219, 82.39337557, 80.64773986, 147.27157348,\n", - " 101.35810958, 102.08075306, 110.94836299, 103.35519082,\n", - " 81.83067929, 81.43517509, 109.08120577, 108.41195971,\n", - " 101.13509542, 109.23266873, 105.35589313, 139.38279937,\n", - " 107.32186922, 147.3716512 , 93.15261931, 111.40888109,\n", - " 111.43780289, 106.34845976, 99.60754242, 108.80183277,\n", - " 109.00063604, 101.51677039, 103.97262668, 107.5589343 ,\n", - " 110.65817465, 77.15300477, 98.46258961, 105.0641202 ,\n", - " 95.779714 , 98.5666996 , 67.81472531, 101.944209 ,\n", - " 101.55213154, 100.64930004, 109.46482942, 108.04144577,\n", - " 87.01752934, 84.86506754, 115.83912168, 81.3819251 ,\n", - " 98.89679935, 121.00466524, 101.65364525, 106.66443574,\n", - " 113.0098984 , 113.00988061, 108.80256951, 99.78538033,\n", - " 98.40982383, 111.02160976, 110.42439237, 79.45984837,\n", - " 74.01347985, 109.61161233, 108.8311495 , 70.94295015,\n", - " 91.74195347, 107.80919053, 102.73610168, 74.48804556,\n", - " 120.80703738, 86.35875412, 101.80450549, 95.73734663,\n", - " 108.34965532, 77.17786725, 80.68059828, 108.03935069,\n", - " 86.89583407, 104.06507928, 101.55366997, 80.7487996 ,\n", - " 104.18542874, 91.99575762, 115.72077981, 103.88558808,\n", - " 97.63748561, 97.8755669 , 129.27155266, 54.97626939,\n", - " 75.07868115, 111.14937572, 84.69047359, 86.02925202,\n", - " 77.09545195, 96.00132017, 73.91034016, 89.7621399 ,\n", - " 125.51192274, 86.86952434, 80.87754618, 81.89415808,\n", - " 100.44202958, 104.28527243, 72.98883309, 90.75816755,\n", - " 109.49105187, 76.92446362, 79.858564 , 103.97477273,\n", - " 106.30136003, 105.26867614, 100.05167922, 88.67210047,\n", - " 111.45777039, 104.56095218, 102.98554631, 57.91057042,\n", - " 114.11820454, 108.73630251, 99.04654973, 99.29641486,\n", - " 80.14553015, 107.50095695, 105.58877576, 99.95979055,\n", - " 83.56891849, 105.96766876, 149.03570638, 100.10575373,\n", - " 82.1819704 , 99.06709111, 108.65838079, 101.92522988,\n", - " 69.20787177, 86.82495945, 83.10975483, 93.71861662,\n", - " 103.24882217, 94.99831074, 101.90378376, 100.6021659 ,\n", - " 109.6997549 , 79.67184485, 102.940272 , 100.36447549,\n", - " 103.49551655, 99.73417617, 54.66109525, 98.63873854,\n", - " 111.18610756, 57.33146897, 86.93476555, 100.6805649 ,\n", - " 98.53243939, 99.43294605, 80.02453924, 104.95685511,\n", - " 75.4258267 , 97.00587012, 99.24017689, 87.82875832,\n", - " 107.04202831, 83.01688978, 101.56207041, 64.74487843,\n", - " 90.78202959, 80.7632858 , 87.54196891, 103.32642859,\n", - " 53.2337306 , 75.52047483, 98.49105102, 68.25117804,\n", - " 105.86768271, 109.47802611, 106.72581219, 104.84292882,\n", - " 93.91379491, 108.80188726, 86.87396009, 108.85338979,\n", - " 96.78939529, 127.01120378, 105.30585519, 102.05179967,\n", - " 98.16203554, 99.66451442, 100.20247671, 97.91876906,\n", - " 98.1080273 , 103.39072697, 94.90666963, 147.66637523,\n", - " 149.02333522, 63.92136222, 99.73324044, 135.02276147,\n", - " 118.65551836, 102.13008705, 111.45595394, 100.72423822,\n", - " 61.94057532, 147.05972708, 97.96058832, 73.60785357,\n", - " 102.28999115, 73.39619406, 102.49924223, 96.46885528,\n", - " 106.30688057, 108.6581877 , 133.37757438, 108.22496908,\n", - " 98.09451276, 96.72411468, 98.83114261, 107.76081307,\n", - " 88.04822393, 81.55218787, 129.45397523, 98.37239846,\n", - " 121.40936273, 88.18196338, 98.22441613, 98.93307317,\n", - " 104.37705052, 100.07215456, 101.09257583, 101.1255065 ,\n", - " 107.92902493, 109.79710932, 102.32069584, 111.37984051,\n", - " 82.84084621, 136.4092358 , 106.81390208, 89.17617417,\n", - " 81.75088654, 99.91596693, 95.88173732, 56.07334055,\n", - " 107.78926913, 131.73206547, 98.75758025, 100.71065759,\n", - " 85.23592748, 99.79639247, 101.28508653, 95.15268951,\n", - " 105.55440163, 63.09199406, 104.36795391, 108.68783146,\n", - " 64.52381256, 78.91025971, 100.10912484, 101.88662872,\n", - " -1.6634491 , 82.77648956, 69.56889291, 160.51267368,\n", - " 113.01218862, -0.43034572, -0.79429124, 109.42105893,\n", - " 80.20087521, 100.2467881 , 115.98571777, 34.03537561,\n", - " 40.19657885, 135.00025856, 80. , 39.99 ,\n", - " 210.55403605, 150. , 1.72776122, 181.64129897,\n", - " 211.04932261, 100.1330168 , 149.03848301, 110.48042846,\n", - " 109.87945035, -0.45738936, 174.72303696, 56.67928828,\n", - " 75.09116763, 176.33288672, 121.57794011, 134.33903279,\n", - " 86.49131564, 75.83152819, 139.99 , 182.14332105,\n", - " 0. , 0. , 62.27016473, 77.10208298,\n", - " 46.194113 , 68.87899777, 34.09647625, 41.0029251 ,\n", - " 26.77547469, 36.16248439, 58.59740374, 52.24605402,\n", - " 52.70891382, 54.63995716, 60.3435896 ]), array([100.70943945, 133.77731698, 105.3423957 , 78.97437098,\n", - " 109.39423589, 109.68502166, 110.62716266, 106.82735457,\n", - " 91.94754521, 59.91747255, 109.23871707, 110.48664192,\n", - " 102.3689857 , 101.56738755, 102.3895831 , 103.88984101,\n", - " 91.61299085, 92.02187937, 89.74103101, 100.8210821 ,\n", - " 103.75026007, 102.74022049, 100.11863727, 107.20960982,\n", - " 110.7090413 , 109.25907228, 99.98055464, 84.41904785,\n", - " 58.05429626, 149.22261739, 104.03216759, 89.12187195,\n", - " 93.40808988, 67.55766398, 104.50017809, 73.70047455,\n", - " 93.79745229, 84.24020544, 50.1011652 , 64.59631385,\n", - " 98.89536698, 101.24349506, 103.57452921, 99.18958933,\n", - " 110.21818971, 66.54033509, 108.00550061, 76.44973261,\n", - " 110.38172456, 141.89400613, 107.2250623 , 106.55364666,\n", - " 104.00978135, 110.0637969 , 77.0272713 , 109.43414816,\n", - " 109.24379732, 125.42428395, 95.39300793, 71.93560705,\n", - " 84.88722177, 85.71531228, 99.08326442, 99.02377078,\n", - " 85.65298584, 92.09194269, 95.59454734, 93.28510938,\n", - " 97.10813526, 379.23392253, 84.60298535, 92.43943683,\n", - " 101.06247752, 101.59452659, 84.30687745, 98.05638832,\n", - " 49.78635784, 102.72025308, 99.5733024 , 98.32319309,\n", - " 48.56242346, 117.5089921 , 105.52394408, 104.05682657,\n", - " 95.57629686, 95.898564 , 98.37541902, 103.10519003,\n", - " 103.1921498 , 55.18081044, 49.66235719, 107.4990378 ,\n", - " 83.25420725, 81.35395674, 115.73619366, 101.85776082,\n", - " 109.56987817, 109.57958409, 65.18126752, 100.31356728,\n", - " 127.12179485, 133.27625284, 89.21625183, 117.96052561,\n", - " 102.03640842, 101.59249594, 99.33422781, 105.42559185,\n", - " 103.90176184, 100.51943245, 106.44722064, 102.16062635,\n", - " 146.09935337, 102.87574846, 91.93148846, 148.84378042,\n", - " 109.47096444, 118.50815163, 111.56839583, 149.55974182,\n", - " 118.94563177, 97.95611548, 99.43786322, 106.23865466,\n", - " 109.46860518, 148.01294497, 94.51052661, 94.03583199,\n", - " 127.54895194, 126.43317272, 106.18421826, 98.73386036,\n", - " 105.85497193, 105.56335307, 103.99798006, 106.16199214,\n", - " 114.10312543, 109.76640918, 108.72273446, 108.73425369,\n", - " 95.39877786, 93.29391008, 99.65440342, 107.95906999,\n", - " 102.83733075, 109.02834291, 108.89147134, 98.30920948,\n", - " 102.44139714, 119.79711038, 108.98434498, 84.94148998,\n", - " 143.7470982 , 147.83918882, 118.34664797, 101.94053794,\n", - " 96.71164271, 97.41501191, 106.84162015, 57.98636356,\n", - " 58.93988594, 109.22697893, 105.10425148, 100.78410161,\n", - " 108.83503171, 108.83493225, 136.22846086, 118.37289712,\n", - " 96.63090316, 108.29369483, 97.68621761, 103.27752056,\n", - " 97.34595046, 86.8727052 , 75.39024767, 109.35458602,\n", - " 110.03814159, 87.75391396, 87.66135939, 108.0836874 ,\n", - " 110.64356354, 96.82135645, 105.13886257, 94.36373987,\n", - " 92.21819251, 66.1613647 , 98.27673178, 92.95449492,\n", - " 93.24657109, 80.86805719, 73.43339403, 102.29986972,\n", - " 65.85463937, 105.53939092, 108.82496915, 108.62053685,\n", - " 99.55675474, 103.68558376, 138.14849419, 103.56872617,\n", - " 109.79795238, 145.89020569, 99.93976285, 104.88420337,\n", - " 135.20550075, 101.91412469, 101.82894251, 97.79469623,\n", - " 108.20359209, 108.42785314, 108.97071305, 127.89333847,\n", - " 124.29669522, 125.87583046, 109.31233493, 92.58512426,\n", - " 111.08045482, 111.08064692, 123.93243055, 123.30605229,\n", - " 112.34810091, 83.37954939, 88.16745069, 118.16535114,\n", - " 101.65850774, 110.74620245, 87.80001084, 87.2044832 ,\n", - " 98.28084512, 97.77149411, 104.94547507, 109.00598133,\n", - " 117.31341523, 115.6327941 , 110.95857325, 99.09388467,\n", - " 97.68459294, 98.62678721, 105.94191332, 118.20823492,\n", - " 109.68839823, 106.65574667, 95.05747611, 107.38996945,\n", - " 104.1428778 , 117.65477464, 77.73859057, 72.55055622,\n", - " 75.94338348, 96.56985831, 96.28400997, 147.31648652,\n", - " 116.26559512, 105.89793289, 107.00683312, 110.14600098,\n", - " 99.14496522, 109.05661414, 99.50791823, 62.51727926,\n", - " 64.0306988 , 99.74401952, 91.45880533, 91.54724432,\n", - " 103.22232041, 70.42044743, 86.135355 , 96.68886319,\n", - " 108.38133349, 133.0173795 , 87.8174655 , 93.52940012,\n", - " 94.95183242, 109.90247606, 109.68998112, 100.4577772 ,\n", - " 101.7105787 , 96.95006094, 123.52713711, 120.67412817,\n", - " 84.5486808 , 105.50697011, 105.2126648 , 103.32044348,\n", - " 107.86409545, 86.20671369, 101.94567126, 85.79349437,\n", - " 75.6163619 , 73.83671214, 146.5173275 , 114.80682024,\n", - " 67.49916157, 69.44242555, 124.62764128, 112.77238975,\n", - " 86.23264582, 135.33011672, 71.5212666 , 92.48837547,\n", - " 103.22267775, 107.89880793, 97.68271389, 105.37252879,\n", - " 107.85200213, 105.27560147, 108.19485343, 106.6667481 ,\n", - " 126.24981966, 106.16208506, 100.75548848, 107.65719721,\n", - " 79.68319909, 79.26237799, 140.12830662, 140.36123567,\n", - " 105.90062074, 74.15020518, 86.79485277, 93.77516756,\n", - " 108.83436325, 102.18633359, 84.53058165, 83.24914285,\n", - " 98.79554116, 101.58878223, 100.92061695, 105.68918836,\n", - " 104.39572287, 105.59667816, 105.60283777, 137.37122917,\n", - " 99.60255382, 100.12793173, 91.4851378 , 89.79279799,\n", - " 143.77367241, 140.51382688, 109.41259351, 104.04214235,\n", - " 118.77079563, 103.79244139, 143.73964575, 117.58350345,\n", - " 102.13778277, 101.80516215, 105.83582371, 117.70344163,\n", - " 93.76283669, 69.79614691, 107.24850385, 105.91145992,\n", - " 101.75527714, 99.15109141, 100.30458745, 103.8672942 ,\n", - " 146.66369051, 141.23167537, 107.86994527, 97.92441952,\n", - " 102.32172776, 100.5582683 , 106.69314195, 106.2881478 ,\n", - " 109.13707787, 130.06248364, 140.48826483, 110.73885058,\n", - " 110.95434259, 108.61163415, 107.86085348, 105.69517049,\n", - " 99.70562581, 108.52282143, 100.09860498, 97.31491092,\n", - " 104.61827814, 96.09716014, 83.2347626 , 139.40969458,\n", - " 89.40830297, 128.19391749, 108.66602853, 108.04396247,\n", - " 106.00476621, 89.40650289, 45.28904525, 111.55716285,\n", - " 112.9596066 , 120.94115579, 105.84464298, 106.37840216,\n", - " 106.94258862, 67.69248329, 93.14477829, 108.62612571,\n", - " 99.48557453, 83.41773308, 122.65563162, 109.21296349,\n", - " 109.38764961, 107.85411425, 68.88060096, 110.96177619,\n", - " 81.65919048, 102.06260047, 105.94824774, 110.26064932,\n", - " 108.83845427, 99.56345598, 99.52999033, 113.41393988,\n", - " 70.04059579, 145.15326532, 93.83035194, 70.64565489,\n", - " 109.1896835 , 107.99372167, 72.42697483, 76.3992046 ,\n", - " 98.3228641 , 106.51860481, 90.82527394, 100.36135252,\n", - " 100.37333993, 106.28263488, 98.14570698, 104.76878307,\n", - " 103.85233899, 124.71084111, 105.65282157, 77.79644096,\n", - " 107.65387007, 100.82333576, 86.34589139, 108.37802965,\n", - " 98.89628325, 83.3038559 , 108.09695288, 77.72270977,\n", - " 122.67943825, 124.63556423, 98.07800687, 101.97278687,\n", - " 101.04473968, 109.64255237, 74.77115082, 109.94100894,\n", - " 94.0532358 , 93.47334966, 96.64493645, 116.4102558 ,\n", - " 59.98644991, 61.31874739, 88.87084116, 108.33197306,\n", - " 73.1883316 , 63.61819796, 53.43172876, 110.20869032,\n", - " 110.45667281, 103.3519489 , 94.73671572, 47.72812858,\n", - " 106.75117633, 97.51815481, 110.00197269, 97.95435535,\n", - " 102.34263645, 104.99534194, 100.17519793, 109.32318218,\n", - " 104.29072977, 93.59108435, 106.63501688, 100.37744385,\n", - " 110.04738272, 138.95537344, 105.17921575, 112.96579004,\n", - " 82.48005195, 69.54336716, 109.38551226, 107.25337326,\n", - " 107.55857825, 108.04495908, 114.85720291, 135.37291391,\n", - " 96.6043368 , 116.04160535, 116.72992392, 120.51503375,\n", - " 108.83380069, 106.99094305, 95.68597921, 81.22330454,\n", - " 81.4816353 , 102.99051711, 99.50947822, 110.60874851,\n", - " 94.94707167, 54.54645341, 54.80301493, 79.07959884,\n", - " 109.86505642, 108.22643868, 84.94941712, 104.85083891,\n", - " 109.46479412, 105.88486634, 91.69203315, 87.42628927,\n", - " 103.90798247, 109.42255564, 109.81053326, 108.94663763,\n", - " 109.09747782, 100.62775982, 105.81593727, 109.75812976,\n", - " 96.26007346, 112.56664077, 81.98442008, 104.85663997,\n", - " 106.28351565, 108.35378734, 105.78282297, 106.81293151,\n", - " 108.77235316, 100.61434915, 138.73191694, 121.03619014,\n", - " 147.66071224, 126.78212907, 96.95015422, 95.98952208,\n", - " 98.02346129, 107.59531661, 108.6490945 , 107.36896032,\n", - " 137.39621554, 108.7218311 , 110.94680374, 75.27762925,\n", - " 133.50163639, 99.14846951, 98.74724071, 88.70324069,\n", - " 109.24336252, 82.24494685, 121.32889712, 112.39759694,\n", - " 119.42368475, 105.5496979 , 99.3795319 , 97.53462182,\n", - " 98.70201758, 124.07929637, 142.74260009, 106.94942956,\n", - " 106.04445925, 109.38330535, 59.41917604, 108.50868593,\n", - " 107.00693575, 99.69936024, 98.41600689, 101.35096515,\n", - " 83.16099533, 99.97496449, 87.84739847, 94.78216746,\n", - " 87.35197949, 93.92730487, 107.95164197, 99.22921685,\n", - " 99.98265298, 106.18922276, 106.78752339, 80.87562808,\n", - " 106.1367352 , 100.18007014, 112.64306543, 73.53593433,\n", - " 117.0371063 , 99.77633375, 98.54475822, 104.77419653,\n", - " 137.48734113, 97.39508224, 99.57689272, 114.89748591,\n", - " 105.26978424, 105.55776627, 110.81867138, 109.48909009,\n", - " 125.98828404, 99.64448734, 104.38519509, 100.55524645,\n", - " 102.37510644, 99.91973038, 99.92987101, 99.20959594,\n", - " 99.88313155, 108.07617558, 99.42552296, 102.97335645,\n", - " 107.43617789, 97.13199811, 104.63683917, 99.67235448,\n", - " 100.54142418, 129.35838692, 78.34509923, 89.11293963,\n", - " 107.37692623, 76.85029015, 56.58571573, 80.79917181,\n", - " 106.02083671, 103.70320161, 117.2724094 , 123.33770983,\n", - " 110.95650623, 75.60266885, 101.4234409 , 110.94381091,\n", - " 107.85447481, 136.64521169, 86.20404175, 149.47224101,\n", - " 115.62925515, 82.13217953, 80.38654382, 147.27157348,\n", - " 101.19584539, 101.75411409, 110.90173677, 103.3085646 ,\n", - " 81.23335799, 80.8378538 , 109.09381304, 107.94978538,\n", - " 100.82197643, 108.86305522, 105.41103652, 139.7322515 ,\n", - " 107.35426023, 147.3716512 , 92.68000125, 110.91586041,\n", - " 110.94083279, 106.33576578, 99.29544602, 108.83422377,\n", - " 108.72334034, 101.00905223, 103.69419962, 107.14912385,\n", - " 110.38329203, 77.53372458, 97.9998681 , 104.60191474,\n", - " 95.24313739, 98.03012299, 68.03817488, 101.54681173,\n", - " 101.21835619, 100.37805701, 109.18878561, 108.07383677,\n", - " 86.36896708, 84.35444867, 116.25137497, 80.7846038 ,\n", - " 98.54545833, 120.53322303, 101.26890792, 106.19299352,\n", - " 112.64077522, 112.64075743, 108.83496052, 99.30570716,\n", - " 97.86338006, 110.53238847, 109.93517108, 79.18924377,\n", - " 73.74287524, 109.24035706, 108.50956147, 71.43523755,\n", - " 91.02261796, 107.52948187, 102.73581983, 74.88193215,\n", - " 120.80703738, 86.48464692, 101.79139169, 95.41070766,\n", - " 108.33696138, 77.20306114, 80.28340413, 107.99272447,\n", - " 86.39127562, 103.8437052 , 101.35886648, 80.37967642,\n", - " 104.17224458, 91.66911865, 115.72077981, 103.89530096,\n", - " 97.30601792, 97.9079579 , 129.27155266, 55.00813069,\n", - " 74.70747014, 110.64888227, 84.0931523 , 85.9826258 ,\n", - " 76.67047983, 96.01392744, 73.92294743, 89.90158002,\n", - " 125.51192274, 86.92466773, 80.61635014, 81.84753186,\n", - " 100.05793883, 104.69752572, 73.48112049, 90.31245559,\n", - " 109.12148368, 76.66326757, 80.2397872 , 104.38702603,\n", - " 106.28866605, 105.25598216, 99.78024431, 88.3454615 ,\n", - " 110.95807488, 104.05323402, 102.98846855, 57.53936994,\n", - " 114.09560083, 109.0857436 , 98.53883157, 98.7886967 ,\n", - " 80.20067354, 107.27679813, 105.96316588, 99.95972677,\n", - " 83.91835917, 105.95497478, 149.03570638, 99.83732079,\n", - " 81.8107689 , 98.58483323, 108.43411223, 101.90262617,\n", - " 69.20095376, 86.47439663, 83.15012352, 93.15595237,\n", - " 102.74911214, 95.3477517 , 101.88801079, 100.33240584,\n", - " 109.09683767, 79.89529442, 102.89364578, 100.10379009,\n", - " 103.47291283, 99.22645801, 55.04231845, 98.15906537,\n", - " 110.74470001, 56.76880472, 86.2862033 , 100.16497983,\n", - " 98.14741884, 98.92522788, 79.65332823, 104.98924611,\n", - " 75.83807999, 96.46944402, 98.97105825, 87.95465903,\n", - " 107.02625534, 82.47006443, 101.04648535, 64.73796041,\n", - " 90.73540337, 80.88917859, 87.91635904, 103.29791556,\n", - " 53.45718017, 74.96619529, 98.01340548, 67.75738862,\n", - " 105.59635768, 109.47099404, 106.4253809 , 104.74712523,\n", - " 94.05323503, 108.83427827, 86.16158971, 108.88579723,\n", - " 96.31174975, 127.42345707, 105.3382462 , 101.55374595,\n", - " 97.69932507, 99.68970831, 99.73969373, 97.45598608,\n", - " 97.62126592, 102.94264929, 94.45859195, 147.70974666,\n", - " 149.02333522, 63.91444421, 99.76563145, 135.0094835 ,\n", - " 118.65551836, 101.64332568, 110.95650621, 100.75668621,\n", - " 61.67937927, 147.1030985 , 97.98578221, 73.98224369,\n", - " 102.11147836, 72.87062326, 102.04875026, 96.32141723,\n", - " 105.84173789, 108.67078363, 133.37757438, 108.23159106,\n", - " 97.60775138, 96.74930858, 98.28805823, 107.32437468,\n", - " 88.17411672, 81.67808066, 129.80341459, 98.21312689,\n", - " 121.40936273, 88.31614713, 97.95696807, 98.66238856,\n", - " 103.91488794, 100.10456188, 100.58866163, 100.62159231,\n", - " 107.93080587, 109.29975938, 102.15249041, 110.93843355,\n", - " 82.84078243, 136.38663211, 106.3517395 , 88.8049741 ,\n", - " 81.37968647, 99.41211942, 95.83511111, 56.48559384,\n", - " 107.59465139, 131.70946178, 98.29485874, 100.5839073 ,\n", - " 84.72820932, 99.28867431, 100.77736836, 95.1845898 ,\n", - " 105.37928178, 63.11718795, 103.90956155, 108.4635615 ,\n", - " 64.48099018, 79.40254711, 99.59850597, 101.37600985,\n", - " -1.6634491 , 82.30241551, 69.54995373, 160.4988177 ,\n", - " 112.64306543, -0.43035815, -0.79430308, 109.39596487,\n", - " 79.76151314, 99.73334231, 114.970926 , 34.14945925,\n", - " 40.22177274, 135.34969792, 80. , 39.99 ,\n", - " 209.72158801, 150. , 1.72776122, 181.05274804,\n", - " 210.22215759, 99.70018156, 149.0158793 , 110.18942944,\n", - " 109.60462773, -0.45739324, 174.75508189, 55.97880492,\n", - " 74.34814595, 176.65227323, 121.53511773, 134.68848608,\n", - " 86.44468944, 75.78870581, 139.99 , 181.55354175,\n", - " 0. , 0. , 62.24756107, 77.17100384,\n", - " 46.194113 , 68.92424045, 34.51235281, 41.50610198,\n", - " 26.77547469, 36.119662 , 58.62986132, 52.81954767,\n", - " 52.1121279 , 55.19287828, 59.25877375]), array([102.5476449 , 133.85007844, 105.21313288, 78.84510816,\n", - " 109.71360744, 109.9892481 , 110.93435803, 107.15963438,\n", - " 91.15830677, 59.0598132 , 108.94098899, 110.2278502 ,\n", - " 102.63956085, 101.90278931, 102.76648039, 104.2667383 ,\n", - " 92.14683531, 92.46740056, 90.04179289, 101.12184398,\n", - " 104.07955634, 103.07279093, 100.49859374, 107.52146808,\n", - " 110.58256457, 109.16735238, 100.36155621, 101.91039392,\n", - " 75.54564232, 149.32804862, 104.01883889, 104.16972491,\n", - " 108.42388274, 67.4623361 , 104.17620325, 73.60514551,\n", - " 93.70214401, 84.14489716, 50.00584183, 64.50098771,\n", - " 99.28260545, 101.63073353, 103.25973197, 99.04591129,\n", - " 110.73662584, 66.46984171, 108.70655035, 76.41252285,\n", - " 110.77370474, 141.96676759, 107.55733278, 106.86147445,\n", - " 104.46886595, 110.5726717 , 77.41450977, 109.82138664,\n", - " 109.63103579, 126.04945812, 95.50529732, 72.56078123,\n", - " 99.04271617, 99.85166015, 99.13933175, 99.07983812,\n", - " 85.55765073, 91.99660758, 95.9064056 , 93.59696764,\n", - " 97.01277489, 379.0447682 , 84.507646 , 92.34412856,\n", - " 103.00630854, 103.53835761, 100.02585892, 98.75743805,\n", - " 50.48740758, 103.5803093 , 100.42085567, 98.37926042,\n", - " 49.24265052, 118.13416644, 106.14911842, 104.01961681,\n", - " 109.16448342, 108.71525475, 98.28005524, 104.21002735,\n", - " 104.27449196, 55.08549452, 49.56703593, 107.81089606,\n", - " 83.15886841, 81.25862163, 116.36136799, 102.48293515,\n", - " 110.07875297, 110.08845889, 65.53436584, 100.6666656 ,\n", - " 127.74697019, 133.27625284, 89.20292314, 117.96052561,\n", - " 101.49991094, 101.05129011, 99.39029515, 106.58099766,\n", - " 107.88417906, 104.38470728, 107.75868281, 103.47208853,\n", - " 146.09935337, 103.82520401, 92.88094401, 148.84378042,\n", - " 110.78242662, 118.47094187, 111.53118607, 149.55974182,\n", - " 118.94563177, 99.12542138, 100.59496678, 107.28421567,\n", - " 110.5141662 , 148.1183762 , 95.1575695 , 94.68287488,\n", - " 128.47788411, 127.31334722, 106.57145673, 99.12109883,\n", - " 107.04434465, 106.74584307, 104.05404739, 106.21805948,\n", - " 115.75827179, 110.15364766, 109.02810153, 109.03396857,\n", - " 95.50830143, 93.40343364, 99.71047075, 108.01513733,\n", - " 103.91702033, 108.7465293 , 108.60650685, 99.96435584,\n", - " 102.7532554 , 119.90239957, 109.29620324, 84.75143906,\n", - " 143.7470982 , 147.91195028, 119.02687503, 103.25200011,\n", - " 98.2613963 , 99.00028729, 106.74990024, 57.36296802,\n", - " 58.35248203, 109.5128376 , 105.16031881, 100.84016895,\n", - " 108.89109905, 108.89099959, 136.33386432, 118.47893748,\n", - " 98.17064333, 108.20197493, 97.49284655, 103.0841495 ,\n", - " 98.85203967, 86.77739592, 75.29493838, 109.72460581,\n", - " 110.44657075, 87.6586048 , 87.56605019, 108.45847303,\n", - " 110.55184364, 96.60372431, 104.90354865, 108.51692073,\n", - " 106.48539725, 65.51172508, 98.18384333, 92.86160647,\n", - " 93.08102735, 80.70251345, 73.78402226, 102.50722272,\n", - " 66.2052676 , 107.45251292, 110.70274916, 108.95281666,\n", - " 100.34493475, 104.47376376, 138.23006836, 104.02304551,\n", - " 110.23198136, 145.96296715, 99.90587738, 104.56487245,\n", - " 135.16829099, 101.4282216 , 101.33103462, 97.64980949,\n", - " 108.05686892, 108.89166792, 109.43440426, 128.70797107,\n", - " 125.15267411, 125.86250176, 109.91808179, 93.19087112,\n", - " 110.78284513, 110.78296303, 124.70681899, 124.08536221,\n", - " 112.24255796, 83.27400645, 88.07214143, 118.16535114,\n", - " 101.56561928, 110.65741087, 87.70470155, 87.10917386,\n", - " 98.18546136, 97.55386198, 105.25733333, 109.35907965,\n", - " 117.31341523, 115.6327941 , 110.64826824, 99.44353302,\n", - " 97.57632506, 98.97949927, 105.57436139, 118.88846198,\n", - " 110.05239872, 107.09076237, 95.49249181, 107.7236601 ,\n", - " 104.53197561, 117.65477464, 77.60932776, 72.44228833,\n", - " 75.81412067, 97.10858257, 96.72233794, 147.42191775,\n", - " 116.89077037, 105.76667217, 107.31342647, 110.45136805,\n", - " 99.57030188, 108.96630914, 99.93325488, 80.00862533,\n", - " 81.52204487, 99.73069082, 91.44547664, 90.91570564,\n", - " 102.7277453 , 70.29118461, 86.44721326, 97.00072145,\n", - " 108.63089811, 133.12281073, 88.16809372, 93.88002834,\n", - " 109.10307796, 109.95854339, 109.74604846, 99.98509162,\n", - " 101.20949267, 96.75524298, 124.45606928, 121.60306034,\n", - " 84.38313706, 105.31823422, 105.02393681, 104.35501502,\n", - " 108.89866699, 86.64172939, 101.4119883 , 86.22851007,\n", - " 75.52102991, 73.74138015, 146.62066817, 114.91071112,\n", - " 67.8497898 , 69.79305377, 124.61431259, 112.75906106,\n", - " 85.75996023, 135.95529206, 71.04858101, 94.10845898,\n", - " 103.9957693 , 108.67189948, 98.11966651, 105.80754449,\n", - " 108.28701783, 105.3316688 , 108.25092076, 106.98768107,\n", - " 126.874995 , 106.48663643, 101.05684999, 108.11280371,\n", - " 80.03382732, 79.61300621, 140.09109686, 140.3240259 ,\n", - " 106.23080432, 73.6775196 , 104.28619884, 94.12579578,\n", - " 108.89043058, 101.64512776, 84.99191207, 83.65187912,\n", - " 99.18277964, 101.64484956, 100.3913471 , 105.79830622,\n", - " 104.71587745, 105.91080107, 105.91750867, 137.37122917,\n", - " 99.95318204, 100.49740264, 91.38982926, 89.69748945,\n", - " 143.77367241, 140.51382688, 109.70099854, 103.5128725 ,\n", - " 119.4510227 , 104.47266846, 143.73964575, 117.58350345,\n", - " 102.46783274, 102.13825675, 106.1386791 , 118.58361614,\n", - " 94.46388642, 70.49719665, 107.07540251, 106.29816174,\n", - " 102.61125603, 99.50339648, 100.68050316, 104.32492331,\n", - " 146.66369051, 141.23167537, 108.16376935, 98.27504775,\n", - " 102.64991335, 100.89727963, 107.02506154, 106.61413303,\n", - " 109.52474477, 130.04915495, 140.47493613, 110.47820531,\n", - " 110.65438293, 108.77857234, 108.02966879, 106.02104337,\n", - " 100.0486608 , 108.42740128, 99.93306125, 98.01596065,\n", - " 104.52514339, 96.00186648, 83.2347626 , 139.40969458,\n", - " 103.55461992, 129.12284967, 108.53649694, 108.3768589 ,\n", - " 106.95422177, 90.35595844, 45.99009498, 112.50021049,\n", - " 113.63308269, 120.94115579, 107.31078638, 107.86741648,\n", - " 106.85379704, 67.56295169, 93.05598671, 108.5344058 ,\n", - " 99.39385462, 84.06477597, 123.30267451, 109.98605504,\n", - " 109.08996864, 107.55643328, 68.09136252, 110.65730683,\n", - " 99.15053655, 102.74282753, 106.33821259, 110.57195916,\n", - " 108.69611181, 99.9110453 , 99.87763836, 114.22857248,\n", - " 69.94528651, 145.22602678, 93.35766635, 88.13700095,\n", - " 109.88057406, 108.80138382, 86.54980552, 90.5261552 ,\n", - " 97.70481865, 106.82130615, 105.51316688, 100.70812797,\n", - " 100.72073507, 105.94025378, 98.52452668, 105.08637225,\n", - " 104.16987304, 125.33601646, 106.35387131, 78.49749069,\n", - " 107.83037592, 101.77279132, 87.53083667, 108.69086809,\n", - " 98.8033948 , 83.68288565, 108.15302022, 77.69889449,\n", - " 122.64222849, 124.59835447, 98.18753043, 101.31018504,\n", - " 100.43002719, 109.32574914, 100.02048474, 109.6242057 ,\n", - " 109.08854192, 108.50865578, 97.00387724, 116.51359647,\n", - " 59.8683244 , 61.20062188, 89.31636235, 108.62579714,\n", - " 98.43766552, 63.48893514, 70.92307482, 110.26475765,\n", - " 110.19645688, 104.34481337, 94.81091223, 47.80232509,\n", - " 107.04092794, 97.72093148, 110.31285802, 97.93474797,\n", - " 104.13224034, 105.3287037 , 100.52428576, 109.02549828,\n", - " 105.24018532, 94.5405399 , 106.97357687, 100.75556209,\n", - " 110.3672334 , 139.60241633, 105.05903568, 112.84560997,\n", - " 83.15352804, 70.21684325, 109.67391729, 108.35821058,\n", - " 107.90820606, 108.39458688, 115.84457318, 135.44567537,\n", - " 97.034186 , 117.02183199, 117.71015056, 120.62032147,\n", - " 108.88872049, 107.04586284, 95.5678537 , 82.17276009,\n", - " 82.43109085, 103.328434 , 98.98020837, 110.95837631,\n", - " 109.10262554, 54.45114018, 54.70769957, 78.98426685,\n", - " 110.23574866, 108.56572713, 85.30251544, 105.24176989,\n", - " 109.79050441, 106.27579732, 92.08296413, 87.33098 ,\n", - " 103.48099528, 109.21603952, 109.60606138, 108.93903128,\n", - " 108.81104581, 100.68382715, 105.81593727, 110.09118378,\n", - " 95.62165584, 113.24686784, 96.12076794, 105.02056168,\n", - " 106.24399387, 108.6656456 , 105.40820787, 107.20448027,\n", - " 108.83418847, 100.95127403, 138.72812129, 120.99898037,\n", - " 147.66071225, 126.78212907, 97.03103006, 96.06888802,\n", - " 97.83432473, 107.90537903, 108.95495911, 107.67876383,\n", - " 138.02139085, 109.02804042, 110.65141897, 89.41397711,\n", - " 133.48830769, 98.60890579, 99.10036434, 106.90141305,\n", - " 109.83492079, 83.18799448, 121.32889712, 112.26806535,\n", - " 120.07222009, 106.67962202, 99.23464517, 97.91411833,\n", - " 99.08144391, 124.74835628, 143.36777425, 107.28192187,\n", - " 105.68358426, 109.25377375, 58.67713414, 108.3617505 ,\n", - " 107.28848764, 99.947259 , 98.29159867, 102.30042071,\n", - " 84.11045088, 100.35245231, 87.9034658 , 94.76883877,\n", - " 109.43023464, 108.61452268, 107.63483874, 100.30890643,\n", - " 101.06234256, 106.96231431, 107.56061494, 80.86229938,\n", - " 106.90020925, 100.94354419, 112.53752249, 95.61418948,\n", - " 116.99989653, 99.73912398, 98.45186977, 105.47524626,\n", - " 137.45013137, 97.5431198 , 99.86708882, 115.49495381,\n", - " 105.86725213, 106.06664107, 110.71312843, 109.99796489,\n", - " 125.95107427, 100.10762847, 105.89038231, 100.0259766 ,\n", - " 101.84583659, 99.24998223, 100.36488671, 99.64461164,\n", - " 99.7902431 , 108.40002853, 99.33263451, 104.00926981,\n", - " 107.49224523, 97.20619233, 104.54416967, 99.14308463,\n", - " 100.01215433, 130.12407412, 100.16630919, 107.54373601,\n", - " 107.67694836, 99.22825433, 78.96367991, 102.85688276,\n", - " 105.9130498 , 103.5954147 , 117.25908071, 124.01793689,\n", - " 110.65523315, 89.72961945, 101.75076409, 110.84365926,\n", - " 108.24540579, 136.64521169, 86.90509148, 149.47224101,\n", - " 116.25443047, 82.48280775, 80.73717204, 147.27157348,\n", - " 101.52395913, 102.14135256, 110.88840808, 103.29523591,\n", - " 82.18281354, 81.78730935, 109.79486277, 107.76104948,\n", - " 101.10610139, 108.77099543, 105.52015438, 140.35742675,\n", - " 107.41032756, 147.3716512 , 92.65054232, 110.63926105,\n", - " 110.64907208, 107.82478145, 99.5846423 , 108.89029111,\n", - " 109.02704933, 100.47978238, 104.15160355, 107.00176037,\n", - " 110.96617402, 99.57595651, 97.81075317, 104.41315742,\n", - " 94.60415229, 97.39113789, 85.52952094, 101.47751545,\n", - " 101.41437592, 100.75993315, 109.49227742, 108.12990411,\n", - " 87.41452809, 83.81488495, 116.93160204, 81.73405935,\n", - " 99.19399367, 121.3448801 , 101.14571006, 107.00465059,\n", - " 112.53523227, 112.53521448, 108.89102786, 98.89347809,\n", - " 97.17232724, 110.27036561, 109.67314822, 79.56831616,\n", - " 74.12194764, 109.14492539, 108.69248758, 96.68457147,\n", - " 92.19192386, 108.02967848, 103.83532396, 97.30331905,\n", - " 120.80703738, 101.12363578, 103.29353826, 95.79794613,\n", - " 109.8259757 , 77.5149194 , 80.81724859, 107.97939578,\n", - " 86.24638888, 104.16747352, 101.69814231, 80.27413347,\n", - " 105.67743179, 92.05635713, 115.72077981, 104.68348096,\n", - " 97.51169755, 97.96402524, 129.27155266, 55.07831285,\n", - " 74.61213815, 110.4982558 , 85.04260785, 85.96929711,\n", - " 77.2620381 , 96.71497717, 74.62399717, 104.93688614,\n", - " 125.51192274, 87.03378559, 80.96697836, 81.83420317,\n", - " 100.0443354 , 105.37775278, 98.73045442, 91.08684403,\n", - " 109.02951562, 77.0138958 , 102.29749815, 105.06725309,\n", - " 107.77768171, 106.74499782, 100.16162688, 88.73269997,\n", - " 110.65585035, 103.52396417, 103.98710988, 57.44406066,\n", - " 114.05839106, 109.71091792, 98.00956172, 98.25942685,\n", - " 80.3097914 , 107.57582571, 106.61020877, 100.39474247,\n", - " 84.54353346, 107.44399044, 149.03570638, 100.20975925,\n", - " 81.71545749, 98.34951931, 108.72867925, 101.8654164 ,\n", - " 83.32378446, 86.91134925, 97.28647138, 92.39887918,\n", - " 102.24802611, 95.97292601, 103.47328618, 100.70884305,\n", - " 110.05790831, 97.38664048, 102.88031709, 100.45287792,\n", - " 103.43570306, 98.69718816, 77.10002939, 97.7468363 ,\n", - " 110.44703648, 56.01173153, 87.33176431, 99.60649886,\n", - " 98.1299472 , 98.39595804, 79.55799624, 105.04531345,\n", - " 76.51830706, 95.8310264 , 99.34556278, 102.59393384,\n", - " 108.61153073, 81.79171418, 100.48800438, 78.86079111,\n", - " 90.72207468, 95.52816745, 88.56340193, 105.24174657,\n", - " 70.94852623, 74.28914585, 97.79577334, 67.6329804 ,\n", - " 105.91102781, 110.78250306, 106.7750087 , 105.12304094,\n", - " 109.08854115, 108.8903456 , 87.31869327, 108.9407149 ,\n", - " 96.09411761, 128.10368414, 105.39431353, 101.39931909,\n", - " 97.51021633, 100.00156657, 99.55053941, 97.26683176,\n", - " 97.52837747, 102.76250561, 94.27844827, 147.78250812,\n", - " 149.02333522, 78.0372749 , 99.82169878, 135.00568785,\n", - " 118.65551836, 101.55043723, 110.65523313, 100.80840799,\n", - " 62.03000749, 147.17585997, 98.29764047, 74.62928658,\n", - " 102.43285405, 72.39793767, 101.86713439, 96.67633944,\n", - " 105.46825215, 109.3616742 , 133.37757438, 109.11408032,\n", - " 97.51486293, 97.06116684, 97.61062691, 107.15127334,\n", - " 102.81310558, 96.31706952, 130.42858877, 98.56516491,\n", - " 121.40936273, 103.1976215 , 98.32643897, 99.04181489,\n", - " 103.72615995, 100.15948168, 100.27185839, 100.30478907,\n", - " 108.9653774 , 109.14423618, 102.4747424 , 110.64078478,\n", - " 83.27579813, 136.34942234, 106.1630115 , 88.70966583,\n", - " 81.2843782 , 99.09732218, 95.82178241, 57.16582091,\n", - " 107.87811902, 131.67225201, 98.10574381, 104.44918213,\n", - " 84.19893947, 98.75940446, 100.24809852, 95.25878631,\n", - " 105.68823794, 63.42904621, 103.57599044, 108.75807172,\n", - " 64.4104968 , 104.65188103, 99.05894225, 100.83644613,\n", - " -1.6634491 , 82.28019731, 83.66934806, 160.65407919,\n", - " 112.53752249, -0.43034145, -0.79427808, 111.27057738,\n", - " 79.74071694, 100.60617491, 116.61426901, 34.56768772,\n", - " 40.533631 , 135.9748721 , 80. , 39.99 ,\n", - " 223.6108434 , 150. , 1.72776122, 181.6035973 ,\n", - " 224.1129232 , 100.45628736, 148.97866953, 110.58109215,\n", - " 110.18738299, -0.45710983, 174.85818307, 57.12329109,\n", - " 74.97673501, 177.25111164, 121.46462435, 135.31366142,\n", - " 86.43136075, 75.71821243, 139.99 , 182.11049979,\n", - " 0. , 0. , 62.21035132, 77.28370561,\n", - " 46.194113 , 68.99427134, 35.19575491, 42.31905477,\n", - " 26.77547469, 36.04916863, 58.68079854, 53.67736593,\n", - " 51.21414945, 53.93498887, 61.15477493]), array([ 99.35658172, 133.91945013, 104.73618314, 78.36815842,\n", - " 109.45662895, 109.70286555, 110.64866062, 107.08592923,\n", - " 90.77996704, 58.67449311, 108.61309713, 109.90499619,\n", - " 102.42767586, 101.80367545, 102.51352264, 104.01378055,\n", - " 91.46011188, 91.96247365, 89.75367804, 100.83372912,\n", - " 104.00596512, 103.00229985, 100.24403134, 107.59562234,\n", - " 110.27677418, 108.87477973, 100.10644894, 101.64250972,\n", - " 75.27775812, 149.40393306, 103.96967308, 103.90187764,\n", - " 108.15603733, 67.16807787, 103.74959029, 73.31088667,\n", - " 93.40789553, 83.85064868, 49.7115859 , 64.20673037,\n", - " 98.89761991, 101.24574799, 102.83083234, 98.5065299 ,\n", - " 110.45842042, 66.40138181, 108.73570037, 76.37638644,\n", - " 110.49280819, 142.03613928, 107.468343 , 106.73923793,\n", - " 104.19638388, 110.29538635, 77.02952422, 109.43640109,\n", - " 109.24605024, 126.58905996, 95.61266439, 73.10038306,\n", - " 98.77279059, 99.51110917, 99.24516392, 99.18567029,\n", - " 85.26338871, 91.70234556, 95.98055986, 93.6711219 ,\n", - " 96.7184992 , 378.65437517, 84.21338164, 92.04988008,\n", - " 102.89420351, 103.42625258, 99.75797471, 98.78658807,\n", - " 50.51655759, 103.59136625, 100.43333327, 98.48509259,\n", - " 49.89860233, 118.67376403, 106.68871601, 103.98348041,\n", - " 108.89742073, 108.44909022, 97.98577772, 104.19250114,\n", - " 104.25958962, 54.79124225, 49.27278105, 107.88505031,\n", - " 82.86460434, 80.96435961, 116.90096579, 103.02253295,\n", - " 109.80146762, 109.81117354, 65.60372513, 100.7360249 ,\n", - " 128.28654304, 133.27625284, 89.15375734, 117.96052561,\n", - " 101.14816913, 100.69895808, 99.49612732, 106.55757516,\n", - " 107.6293935 , 104.13811091, 107.71706819, 103.4304739 ,\n", - " 146.09935337, 102.28208367, 91.33782367, 148.84378042,\n", - " 110.740812 , 118.43480544, 111.49504964, 149.55974182,\n", - " 118.94563177, 97.13137161, 98.62591743, 105.54351249,\n", - " 108.77346301, 148.19426064, 95.74339116, 95.26869655,\n", - " 126.96254338, 125.88674935, 106.18647119, 98.73611328,\n", - " 107.01696186, 106.71926263, 104.15987956, 106.32389165,\n", - " 112.80880241, 109.76866211, 108.76787468, 108.77364199,\n", - " 95.60298569, 93.49811791, 99.81630292, 108.1209695 ,\n", - " 103.90241897, 108.42122886, 108.28109852, 97.01488646,\n", - " 102.82740966, 119.97764022, 109.3703575 , 84.35878466,\n", - " 143.7470982 , 147.98132197, 119.68282684, 103.21038549,\n", - " 98.19204202, 98.92680314, 106.4573276 , 56.97103624,\n", - " 57.95637795, 109.25046985, 105.26615098, 100.94600112,\n", - " 108.99693122, 108.99683176, 136.4096302 , 118.55762905,\n", - " 98.10245368, 107.90940229, 97.09181813, 102.68312108,\n", - " 98.78776519, 86.48314677, 75.00068924, 109.44302287,\n", - " 110.16705285, 87.36435547, 87.27180091, 108.09910726,\n", - " 110.259271 , 96.19484992, 104.49135167, 108.24919837,\n", - " 106.21757819, 65.12283572, 97.64788575, 92.32564889,\n", - " 92.60043856, 80.22192467, 73.5446456 , 102.20776014,\n", - " 65.96589094, 107.34255885, 110.59527061, 108.87911151,\n", - " 100.36416096, 104.49298998, 138.28353925, 103.75109669,\n", - " 109.9526426 , 146.03233884, 99.58548323, 104.13772202,\n", - " 135.13215455, 101.08138842, 100.98302604, 97.11419044,\n", - " 107.52731497, 108.61295277, 109.15581683, 127.40066305,\n", - " 123.77011378, 125.81333594, 109.08333481, 92.35612414,\n", - " 110.45493636, 110.45506486, 123.4730453 , 122.84234238,\n", - " 111.85314709, 82.88459558, 87.77789222, 118.16535114,\n", - " 101.0296617 , 110.3298094 , 87.41045238, 86.81492468,\n", - " 97.89117336, 97.14498758, 105.33148759, 109.42843894,\n", - " 117.31341523, 115.6327941 , 110.22195208, 99.32202391,\n", - " 97.17685816, 98.89424982, 105.23911449, 119.54441379,\n", - " 109.77043417, 107.17656424, 95.57829367, 107.64816565,\n", - " 104.54692737, 117.65477464, 77.13237801, 72.04282143,\n", - " 75.33717093, 97.35376386, 96.79654375, 147.49780219,\n", - " 117.43034561, 105.28234708, 107.05872841, 110.1911412 ,\n", - " 99.64119051, 108.67427364, 100.00414351, 79.74074113,\n", - " 81.25416067, 99.68152501, 91.39631082, 90.55139399,\n", - " 102.37829783, 69.81423487, 86.52136752, 97.0748757 ,\n", - " 108.48181049, 133.19869517, 87.92871707, 93.64065169,\n", - " 108.83537957, 110.06437556, 109.85188063, 99.57569001,\n", - " 100.86117672, 96.3506501 , 122.94072855, 120.08771961,\n", - " 83.90254828, 104.92869326, 104.63441299, 104.34568687,\n", - " 108.88933884, 86.72753126, 101.06051882, 86.31431193,\n", - " 75.22676954, 73.44711978, 146.68695427, 114.97952595,\n", - " 67.61041314, 69.55367712, 124.56514677, 112.70989524,\n", - " 85.35055863, 136.49486491, 70.63917941, 91.22956071,\n", - " 104.01671177, 108.69284195, 97.63237451, 105.89334635,\n", - " 108.3728197 , 105.43750097, 108.35675293, 106.73412572,\n", - " 127.41456785, 106.23384653, 100.76882773, 107.83396898,\n", - " 79.79445067, 79.37362956, 140.0549604 , 140.28788945,\n", - " 105.98199332, 73.26811799, 104.01831463, 93.88641913,\n", - " 108.99626275, 101.29279573, 83.60338747, 82.34562023,\n", - " 98.79779409, 101.75068173, 100.04022167, 105.89112905,\n", - " 104.47070074, 105.66277221, 105.66951347, 137.37122917,\n", - " 99.71380539, 100.24828644, 91.09558061, 89.40324079,\n", - " 143.77367241, 140.51382688, 109.43975282, 103.16174707,\n", - " 120.10697451, 105.12862027, 143.73964575, 117.58350345,\n", - " 102.36377148, 102.03701009, 105.95216143, 117.15701827,\n", - " 94.49303644, 70.52634667, 106.72972034, 106.3097884 ,\n", - " 101.2286957 , 99.42371688, 100.64979642, 104.05260153,\n", - " 146.66369051, 141.23167537, 108.02802463, 98.03567109,\n", - " 102.54412853, 100.80150248, 106.93390673, 106.36162949,\n", - " 109.26589419, 129.99998913, 140.42577032, 110.06124315,\n", - " 110.23001708, 108.48816046, 107.73934737, 105.76853245,\n", - " 99.95740858, 108.13309418, 99.45247246, 98.04511067,\n", - " 104.23186381, 95.70762414, 83.2347626 , 139.40969458,\n", - " 103.28673259, 127.60750894, 108.05855506, 108.29022566,\n", - " 105.41110142, 88.8128381 , 46.019245 , 110.97030128,\n", - " 112.65877865, 120.94115579, 107.25116008, 107.80512516,\n", - " 106.52619556, 67.08500982, 92.72838523, 108.24183316,\n", - " 99.10128198, 84.65059764, 123.88849617, 110.00699751,\n", - " 108.76207005, 107.22853469, 67.71302279, 110.23209092,\n", - " 98.88265235, 103.39877934, 106.3545796 , 110.28720863,\n", - " 108.17088494, 99.77384962, 99.74047249, 112.92126445,\n", - " 69.65103736, 145.29539847, 92.94826475, 87.86911675,\n", - " 109.91156247, 108.81861286, 86.15939369, 90.15094055,\n", - " 97.34245311, 106.53546738, 105.2453417 , 100.57051885,\n", - " 100.58344077, 105.60772806, 98.27058276, 104.87745505,\n", - " 103.98271783, 125.87558931, 106.38302132, 78.52664071,\n", - " 107.54102924, 100.22967097, 85.50474148, 108.43591892,\n", - " 98.26743722, 83.42885851, 108.25885239, 77.17509948,\n", - " 122.60609205, 124.56221803, 98.28221469, 100.94452284,\n", - " 100.06975459, 108.89762331, 99.75260054, 109.19607988,\n", - " 108.82069491, 108.24080877, 96.93001841, 116.57988256,\n", - " 59.33784281, 60.6701403 , 88.81143544, 108.49005242,\n", - " 98.16978132, 63.0119854 , 70.65519062, 110.37058982,\n", - " 109.77957553, 104.34035582, 94.91446195, 47.90587481,\n", - " 106.75265216, 97.42151472, 110.05267002, 97.61560981,\n", - " 104.03500839, 105.08219256, 100.28570581, 108.69760011,\n", - " 103.69706498, 92.99741956, 106.89330743, 100.72942362,\n", - " 110.10706869, 140.188238 , 104.61560367, 112.40217797,\n", - " 82.17922399, 69.2425392 , 109.41267157, 108.34068437,\n", - " 107.62518582, 108.11156665, 114.22286896, 135.51504706,\n", - " 97.09395235, 115.41523376, 116.10355233, 120.69555536,\n", - " 108.99472401, 107.15186636, 95.03737211, 80.62963975,\n", - " 80.88797051, 103.04491647, 98.62908294, 110.67535608,\n", - " 108.83492235, 54.1568892 , 54.41344757, 78.69000649,\n", - " 109.97862855, 108.31180934, 85.37187473, 105.30817455,\n", - " 109.53498698, 106.34220198, 92.14936878, 87.03673085,\n", - " 103.1406825 , 108.89995754, 109.29023335, 108.6348174 ,\n", - " 108.48558723, 100.78965932, 105.81593727, 109.83705743,\n", - " 95.25662921, 113.90281964, 95.78021697, 104.72897719,\n", - " 105.93671594, 108.73979985, 105.07216521, 107.22345973,\n", - " 108.93924815, 100.85131601, 138.71412029, 120.96284394,\n", - " 147.66071224, 126.78212907, 97.1337453 , 96.17178918,\n", - " 97.44397519, 107.65039785, 108.69474127, 107.4237836 ,\n", - " 138.56096438, 108.76784028, 110.22791533, 89.07342614,\n", - " 133.43914188, 98.25674057, 99.0199857 , 106.63352885,\n", - " 109.02938813, 81.65808528, 121.32889712, 111.79012347,\n", - " 119.08875624, 104.76623956, 98.69902611, 97.6599068 ,\n", - " 98.82725999, 123.72298867, 143.90737719, 107.193011 ,\n", - " 105.35020067, 108.77583188, 58.29895751, 107.83290609,\n", - " 106.99858603, 99.65090121, 97.76248034, 100.75730036,\n", - " 82.56733054, 100.09918479, 88.00929797, 94.71967295,\n", - " 109.16235044, 108.34670146, 107.20671291, 100.29430507,\n", - " 101.0477412 , 106.98325678, 107.58155741, 80.81313357,\n", - " 106.92224668, 100.96558162, 112.14811162, 95.34630528,\n", - " 116.96376008, 99.70298753, 97.91591219, 105.50439628,\n", - " 137.41399494, 97.23954041, 99.57726779, 114.6772541 ,\n", - " 105.04955243, 105.78935572, 110.32371756, 109.72067954,\n", - " 125.91493782, 100.23665398, 105.82615652, 99.67485117,\n", - " 101.49471116, 98.8837118 , 100.45068858, 99.7304135 ,\n", - " 99.25428552, 108.31184844, 98.79667693, 103.99978317,\n", - " 107.5980774 , 97.30974242, 104.25109268, 98.79195919,\n", - " 99.6610289 , 128.90664588, 99.89842499, 107.27585181,\n", - " 107.54782785, 98.96037013, 78.69579572, 102.58899856,\n", - " 105.60023 , 103.2825949 , 117.20991489, 124.6738887 ,\n", - " 110.23061982, 89.3544048 , 101.63945788, 110.47413951,\n", - " 108.31181045, 136.64521169, 86.9342415 , 149.47224101,\n", - " 116.794004 , 82.2434311 , 80.49779539, 147.27157348,\n", - " 101.41358729, 101.75636702, 110.83924226, 103.24607009,\n", - " 80.6396932 , 80.24418901, 109.82401279, 107.37150852,\n", - " 100.81622327, 108.47818188, 105.61297721, 140.89700198,\n", - " 107.51615973, 147.3716512 , 92.10082179, 110.21929691,\n", - " 110.22625137, 107.76248996, 99.29475232, 108.99612328,\n", - " 108.77254708, 100.12865694, 103.87933271, 106.67605576,\n", - " 110.68912844, 99.30807231, 97.42045672, 104.02357297,\n", - " 94.23902933, 97.02601493, 85.26163674, 101.15731368,\n", - " 101.11444349, 100.5047864 , 109.2393888 , 108.23573628,\n", - " 85.67382491, 83.46271974, 117.58755384, 80.19093901,\n", - " 98.21052983, 120.03975963, 100.83897512, 105.69953012,\n", - " 112.1458214 , 112.14580362, 108.99686003, 98.54679838,\n", - " 96.80399629, 109.85314463, 109.25592724, 79.31427214,\n", - " 73.86790362, 108.85061225, 108.40395463, 96.41668727,\n", - " 90.19787408, 107.75161231, 103.81841732, 97.03543485,\n", - " 120.80703738, 100.85574736, 103.2297196 , 95.41296059,\n", - " 109.76368439, 77.58907366, 80.13052516, 107.93022997,\n", - " 85.71076982, 103.98220828, 101.54500054, 79.8847226 ,\n", - " 105.613206 , 91.67137158, 115.72077981, 104.70270717,\n", - " 97.21247773, 98.06985741, 129.27155266, 55.18264689,\n", - " 74.31787778, 109.97896758, 83.49948751, 85.9201313 ,\n", - " 76.45650544, 96.74412719, 74.65314718, 104.66903913,\n", - " 125.51192274, 87.12660842, 80.72760171, 81.78503735,\n", - " 99.72841412, 106.03370459, 98.46257022, 89.85307034,\n", - " 108.73674158, 76.77451914, 102.02961395, 105.7232049 ,\n", - " 107.71539023, 106.68270634, 99.90631646, 88.34771443,\n", - " 110.23105766, 103.17283873, 103.98197554, 57.14981151,\n", - " 114.02225461, 110.25051599, 97.65843628, 97.90830141,\n", - " 80.40261423, 107.38947469, 107.19603044, 100.48054434,\n", - " 85.08313235, 107.38169896, 149.03570638, 99.95910942,\n", - " 81.42120735, 97.93732233, 108.5425228 , 101.82927995,\n", - " 82.93337263, 86.42405725, 96.94592041, 92.0238189 ,\n", - " 101.89971016, 96.51252433, 103.39980202, 100.45612668,\n", - " 108.4908273 , 97.11875628, 102.83115127, 100.21429797,\n", - " 103.3995666 , 98.34606273, 76.83214519, 97.40015659,\n", - " 110.1191354 , 55.63667125, 85.59106113, 99.25191211,\n", - " 97.81372867, 98.0448326 , 79.26373587, 105.15114562,\n", - " 77.17425887, 95.46599977, 99.09384521, 102.32604698,\n", - " 108.53804657, 81.42161754, 100.13341763, 78.47037928,\n", - " 90.67290886, 95.26027903, 89.14922359, 105.12964155,\n", - " 70.68064203, 73.90343415, 97.38689895, 67.10386207,\n", - " 105.6630088 , 110.74088314, 106.49198846, 105.0923342 ,\n", - " 108.82069414, 108.99617777, 85.34964392, 109.04671883,\n", - " 95.68524322, 128.75963594, 105.5001457 , 100.88986428,\n", - " 97.11994097, 100.07572083, 99.16014637, 96.87643873,\n", - " 96.99241989, 102.39687312, 93.91281578, 147.85187981,\n", - " 149.02333522, 77.64686308, 99.92753095, 134.99168685,\n", - " 118.65551836, 101.01447965, 110.2306198 , 100.91489817,\n", - " 61.79063084, 147.24523165, 98.37179473, 75.21510825,\n", - " 102.30257935, 71.98853607, 101.49740941, 96.58187488,\n", - " 105.13264224, 109.39266261, 133.37757438, 109.12248243,\n", - " 96.97890535, 97.1353211 , 97.24370229, 106.80559117,\n", - " 102.54521716, 96.0491811 , 130.9681904 , 98.45591031,\n", - " 121.40936273, 102.92973524, 98.07732277, 98.78763097,\n", - " 103.33663613, 100.2654852 , 99.84373257, 99.87666325,\n", - " 108.95604925, 108.63761754, 102.35744241, 110.31288159,\n", - " 83.3616 , 136.31328591, 105.77348769, 88.41541735,\n", - " 80.99012972, 98.66842255, 95.7726166 , 57.82177271,\n", - " 107.73130563, 131.63611558, 97.71544736, 104.20258575,\n", - " 83.84781403, 98.40827903, 99.89697308, 95.36233603,\n", - " 105.56384544, 63.50320047, 103.24042976, 108.57191775,\n", - " 64.3420369 , 104.38399683, 98.70677703, 100.48428092,\n", - " -1.6634491 , 81.72480672, 83.26626033, 160.57210093,\n", - " 112.14811162, -0.4303534 , -0.79428992, 111.16327606,\n", - " 79.23079031, 99.18360708, 113.68037719, 34.66782041,\n", - " 40.60778526, 136.51447373, 80. , 39.99 ,\n", - " 222.36790509, 150. , 1.72776122, 180.59864855,\n", - " 222.87555565, 99.25647129, 148.94253307, 110.30042277,\n", - " 109.91039741, -0.45712569, 174.92336841, 55.17487098,\n", - " 73.36746961, 177.7350625 , 121.39616445, 135.85323427,\n", - " 86.38219495, 75.64975253, 139.99 , 181.10076738,\n", - " 0. , 0. , 62.17421491, 77.39296499,\n", - " 46.194113 , 69.06851174, 35.85841518, 42.31905477,\n", - " 26.77547469, 35.98070873, 58.78740873, 54.44467635,\n", - " 50.82493974, 55.70320543, 57.88695479]), array([ 99.33697093, 133.91870225, 103.24707501, 76.8790503 ,\n", - " 107.6927002 , 107.89345343, 108.84007275, 105.66821355,\n", - " 88.79543906, 56.6796892 , 106.78577314, 108.10055098,\n", - " 102.34831498, 100.33859847, 100.76297548, 102.26323339,\n", - " 90.02304158, 90.3648634 , 87.94265773, 99.02270881,\n", - " 102.58878081, 101.59020095, 98.49112508, 107.46914952,\n", - " 108.57006005, 107.18513851, 98.35274201, 99.92478141,\n", - " 73.56002982, 149.32840823, 103.81630769, 102.18426487,\n", - " 106.43843036, 65.47714603, 101.98068926, 71.61995409,\n", - " 91.71697485, 82.159728 , 48.02065685, 62.51579963,\n", - " 97.19409687, 99.54222495, 101.0666448 , 96.85644965,\n", - " 108.67838593, 66.40098309, 108.42654177, 76.37617597,\n", - " 108.7092158 , 142.0353914 , 106.02316294, 105.2403002 ,\n", - " 102.42160619, 108.51619723, 75.32600118, 107.73287805,\n", - " 107.5425272 , 126.5812298 , 95.60898234, 73.09255291,\n", - " 97.04869532, 97.56672823, 99.24296645, 99.18347282,\n", - " 83.57245206, 90.01140891, 95.85408704, 93.54464908,\n", - " 95.0275443 , 376.92757742, 82.52244183, 90.35895939,\n", - " 102.00595996, 102.53800903, 98.04024641, 98.47742947,\n", - " 50.207399 , 103.20815421, 100.05594013, 98.48289512,\n", - " 49.90181259, 118.66593831, 106.68089029, 103.98326993,\n", - " 107.18225379, 106.73672231, 96.29482036, 103.69382273,\n", - " 103.77151675, 53.10031737, 47.58185323, 107.75857749,\n", - " 81.17366491, 79.27342297, 116.89313985, 103.01470701,\n", - " 108.0222785 , 108.03198442, 65.45784219, 100.59014195,\n", - " 128.27874419, 133.27625284, 89.000392 , 117.96052561,\n", - " 99.2151622 , 98.76556848, 99.49392985, 106.03505996,\n", - " 105.9524932 , 102.50651084, 107.12099971, 102.83440543,\n", - " 146.09935337, 101.60146201, 90.65720201, 148.84378042,\n", - " 110.14474352, 118.43459487, 111.49483907, 149.55974182,\n", - " 118.94563177, 96.71220166, 98.19390016, 104.99558679,\n", - " 108.22553732, 148.11873581, 95.73994665, 95.26525204,\n", - " 126.43107769, 125.41917018, 104.48294815, 97.03259024,\n", - " 106.47843596, 106.18398072, 104.15768209, 106.32169418,\n", - " 112.64532869, 108.06513907, 106.99337368, 106.99638262,\n", - " 95.57044873, 93.46558095, 99.81410546, 108.11877203,\n", - " 103.41558004, 106.5420344 , 106.39238209, 96.85141274,\n", - " 102.70093684, 119.90069797, 109.24388468, 82.63161104,\n", - " 143.7470982 , 147.98057409, 119.6860371 , 102.61431702,\n", - " 97.48373772, 98.20177834, 104.76768637, 55.06426005,\n", - " 56.06619977, 107.47020416, 105.26395352, 100.94380365,\n", - " 108.99473375, 108.99463429, 136.33389053, 118.48857835,\n", - " 97.39886367, 106.21976106, 95.36325264, 100.9545556 ,\n", - " 98.10002063, 84.79222512, 73.30976758, 107.64943803,\n", - " 108.38271876, 85.67343325, 85.58087883, 106.37296241,\n", - " 108.56962977, 94.45892743, 102.75017286, 106.5319751 ,\n", - " 104.5000534 , 63.20395601, 96.05000946, 90.7277726 ,\n", - " 90.91616998, 78.53765608, 71.81402259, 100.35867592,\n", - " 64.23526793, 106.46619859, 109.73258657, 107.46139583,\n", - " 100.01440486, 104.14323388, 138.27902038, 101.97683968,\n", - " 108.16896 , 146.03159096, 97.71155986, 102.37095638,\n", - " 135.13194398, 99.16745219, 99.06471118, 95.46206778,\n", - " 105.87184398, 106.83076549, 107.37378092, 127.01895682,\n", - " 123.33423638, 125.65997054, 107.77698559, 91.04977492,\n", - " 108.62771505, 108.62777925, 123.13987562, 122.50691237,\n", - " 110.6375253 , 81.66897379, 86.08697041, 118.16535114,\n", - " 99.43178542, 109.30717364, 85.7195307 , 85.12400298,\n", - " 96.20020262, 95.4090651 , 105.20501477, 109.282556 ,\n", - " 117.31341523, 115.6327941 , 108.45837799, 97.81045425,\n", - " 95.92982394, 97.44992319, 103.36833025, 119.54762405,\n", - " 107.97532919, 106.02785158, 94.42958101, 106.22698818,\n", - " 103.27876407, 117.65477464, 75.64326989, 70.79578722,\n", - " 73.8480628 , 96.47339759, 95.62563556, 147.42227736,\n", - " 117.42254416, 103.77017709, 105.29474444, 108.4166402 ,\n", - " 98.4676467 , 106.98532361, 98.8305997 , 78.02301282,\n", - " 79.53643236, 99.52815962, 91.24294544, 88.60508126,\n", - " 100.44852224, 68.32512675, 86.3948947 , 96.94840288,\n", - " 106.94077025, 133.12317034, 86.19809406, 91.91002867,\n", - " 107.11823105, 110.0621781 , 109.84968316, 97.73840783,\n", - " 98.94165275, 94.62148926, 122.40926286, 119.55625392,\n", - " 82.21827969, 103.20204368, 102.90776636, 103.8801401 ,\n", - " 108.42379208, 85.57881859, 99.12858401, 85.16559927,\n", - " 73.53583505, 71.75618529, 146.58951615, 114.88787684,\n", - " 65.87979013, 67.82305411, 124.41178139, 112.55652986,\n", - " 83.51327644, 136.48706606, 68.80189722, 91.05259843,\n", - " 103.67398151, 108.35011169, 96.01919167, 104.74463369,\n", - " 107.22410703, 105.4353035 , 108.35455546, 104.9748941 ,\n", - " 127.406769 , 104.47600856, 98.95812937, 106.05146203,\n", - " 78.06382765, 77.64300654, 140.05474977, 140.28767881,\n", - " 104.2323665 , 71.43083581, 102.30058633, 92.15579612,\n", - " 108.99406528, 99.35940613, 82.52519173, 81.21199284,\n", - " 97.09427105, 101.74848426, 98.11111906, 105.85435027,\n", - " 102.72667634, 103.9124733 , 103.9197691 , 137.37122917,\n", - " 97.98318238, 98.50337732, 89.40465968, 87.71231986,\n", - " 143.77367241, 140.51382688, 107.66180592, 101.23264445,\n", - " 120.11018476, 105.13183052, 143.73964575, 117.58350345,\n", - " 100.89102308, 100.56862609, 104.32819452, 116.68943909,\n", - " 94.18387784, 70.21718807, 105.01020343, 105.03604666,\n", - " 100.7928183 , 97.98999572, 99.30084737, 102.27797988,\n", - " 146.66369052, 141.23167537, 106.50888746, 96.30504808,\n", - " 101.06870729, 99.34159895, 105.48477979, 104.60431503,\n", - " 107.50663848, 129.84662375, 140.27240494, 108.3125148 ,\n", - " 108.46954183, 106.6560204 , 105.90747945, 104.01119891,\n", - " 98.50477873, 106.44209903, 97.76820388, 97.73595208,\n", - " 102.54182654, 94.01670906, 83.2347626 , 139.40969458,\n", - " 101.56899461, 127.07604324, 106.56634534, 106.84916248,\n", - " 104.73047977, 88.13221644, 45.71008641, 110.27800892,\n", - " 111.4756983 , 120.94115579, 106.58222623, 107.12541394,\n", - " 105.5035598 , 65.5928001 , 91.70574947, 106.55219193,\n", - " 97.41164075, 84.64715313, 123.88505167, 109.66426725,\n", - " 106.93478697, 105.40125161, 65.72849481, 108.47026522,\n", - " 97.16492404, 103.4019896 , 105.08880995, 108.47976908,\n", - " 106.53088846, 98.23340453, 98.20007221, 112.53955822,\n", - " 67.96011571, 145.29465059, 91.11098256, 86.15138845,\n", - " 109.60850199, 108.46022324, 84.05948947, 88.09843902,\n", - " 95.39818544, 104.7253082 , 103.52779783, 99.02945143,\n", - " 99.0428473 , 103.75248772, 96.51858909, 103.20437958,\n", - " 102.352391 , 125.86779046, 106.07386273, 78.21748212,\n", - " 105.71048289, 99.54904932, 85.10204068, 106.67444432,\n", - " 96.66956094, 81.67674691, 108.25665492, 75.69051924,\n", - " 122.60588148, 124.56200746, 98.24967773, 98.97862224,\n", - " 98.11361519, 107.13229538, 98.03487224, 107.43075195,\n", - " 107.10308294, 106.5231968 , 95.50520159, 116.48244444,\n", - " 57.71847226, 59.05076974, 87.21382518, 106.97091525,\n", - " 96.45205302, 61.52287728, 68.93746232, 110.36839235,\n", - " 108.03097534, 103.89448372, 94.90338114, 47.894794 ,\n", - " 104.93602452, 95.57647144, 108.28039818, 95.74342001,\n", - " 103.21381987, 103.33714036, 98.55624934, 106.87031448,\n", - " 103.01644332, 92.3167979 , 105.46258158, 99.38838108,\n", - " 108.33819461, 140.18479349, 103.2311873 , 111.01776159,\n", - " 80.99614365, 68.05945886, 107.63472467, 107.84200596,\n", - " 105.83390403, 106.32028486, 113.6148275 , 135.51429918,\n", - " 95.89850665, 114.79069579, 115.47901437, 120.61859764,\n", - " 108.99314446, 107.15028682, 93.41800156, 79.94901809,\n", - " 80.20734885, 101.25179964, 96.69998033, 108.88407429,\n", - " 107.11775884, 52.4659657 , 52.72252299, 76.999072 ,\n", - " 108.21991158, 106.55408932, 85.22599179, 105.14738331,\n", - " 107.77350298, 106.18141074, 91.98857755, 85.34580921,\n", - " 101.21903449, 107.12515682, 107.51767699, 106.77882787,\n", - " 106.59243563, 100.78746185, 105.81593727, 108.07787023,\n", - " 93.30947414, 113.9060299 , 93.83583603, 102.89488804,\n", - " 104.07458822, 108.61332703, 103.17546491, 105.96210614,\n", - " 108.9341298 , 99.38420041, 138.67044718, 120.96263337,\n", - " 147.66071225, 126.78212907, 97.11940464, 96.15817994,\n", - " 95.71718471, 105.88700517, 106.92048565, 105.66023722,\n", - " 138.55316479, 106.99379557, 108.46880947, 87.1290452 ,\n", - " 133.2857765 , 96.32394801, 97.58469122, 104.91580054,\n", - " 107.69723853, 80.96579291, 121.32889712, 110.29791375,\n", - " 118.8201657 , 104.30562521, 97.04690345, 95.9075327 ,\n", - " 97.07492545, 123.44411861, 143.89954676, 105.74791687,\n", - " 103.44173198, 107.28362216, 56.3374576 , 106.17738975,\n", - " 105.17757942, 97.81199527, 96.13775871, 100.07667871,\n", - " 81.88670888, 98.34818227, 88.0071005 , 94.56630757,\n", - " 107.44462214, 106.62916996, 105.44138499, 99.80746615,\n", - " 100.56090227, 106.64052652, 107.23882715, 80.65976819,\n", - " 106.58399673, 100.62733167, 110.93248983, 93.62857698,\n", - " 116.96354945, 99.7027769 , 96.3180359 , 105.19523769,\n", - " 137.41378437, 95.38674667, 97.7602185 , 113.35584955,\n", - " 103.72814788, 104.01016659, 109.10809574, 107.94149041,\n", - " 125.91472718, 99.16072674, 105.13872515, 97.74574855,\n", - " 99.56560854, 96.91696277, 99.30197592, 98.58170084,\n", - " 97.65640923, 106.87029409, 97.19880065, 103.5335999 ,\n", - " 107.59587993, 97.29866291, 102.56122735, 96.86285658,\n", - " 97.73192629, 128.57747081, 98.18069669, 105.55812351,\n", - " 106.03881788, 97.24264183, 76.97806741, 100.87127026,\n", - " 103.72825314, 101.41061804, 117.05654951, 124.67709896,\n", - " 108.46975161, 87.30190327, 100.15395776, 109.32060625,\n", - " 108.15101921, 136.64521169, 86.62508291, 149.47224101,\n", - " 116.78620441, 80.51280808, 78.76717237, 147.27157348,\n", - " 99.92960097, 100.05284398, 110.68587688, 103.09270471,\n", - " 79.95907154, 79.56356735, 109.5148542 , 105.64485894,\n", - " 98.99637439, 106.78853456, 105.57619844, 140.88920054,\n", - " 107.51396226, 147.3716512 , 90.55696709, 108.46581082,\n", - " 108.46823003, 107.08277809, 97.47756023, 108.99392581,\n", - " 107.0085355 , 98.19955433, 102.10477314, 104.96532021,\n", - " 108.91580927, 97.59034401, 95.69367512, 102.29691581,\n", - " 92.29181226, 95.07879786, 83.54390844, 99.2741096 ,\n", - " 99.26845114, 98.7510702 , 107.47876916, 108.23353881,\n", - " 85.12589921, 81.52992717, 117.5907641 , 79.51031735,\n", - " 97.94193929, 119.69906147, 99.13657153, 105.35883196,\n", - " 110.93019962, 110.93018183, 108.99466256, 96.61559169,\n", - " 94.83419871, 108.10400694, 107.50678955, 77.56213659,\n", - " 72.11576806, 107.15960935, 106.57451152, 94.69895897,\n", - " 89.77870413, 105.97115139, 103.32224835, 95.31770655,\n", - " 120.80703738, 99.138006 , 102.5438258 , 93.70943755,\n", - " 109.08397317, 77.46260084, 78.69345487, 107.77686458,\n", - " 84.05864717, 102.35430081, 99.97564082, 78.66910082,\n", - " 104.92577463, 89.96784854, 115.72077981, 104.35295108,\n", - " 95.36782895, 98.06765994, 129.27155266, 55.17410077,\n", - " 72.6269433 , 108.31770153, 82.81886585, 85.76676591,\n", - " 75.12435584, 96.43496859, 74.34398859, 102.95142717,\n", - " 125.51192274, 87.08982964, 78.99697869, 81.63167197,\n", - " 97.85286411, 106.03691485, 96.74484192, 89.51990066,\n", - " 107.04712657, 75.04389613, 100.31188565, 105.72641516,\n", - " 107.03567836, 106.00299446, 98.15231036, 86.64419139,\n", - " 108.46990445, 101.24373612, 103.533374 , 55.45888986,\n", - " 114.02204398, 110.24268975, 95.72933367, 95.9791988 ,\n", - " 80.36583545, 105.76716891, 107.19258593, 99.33183167,\n", - " 85.07530522, 106.70198709, 149.03570638, 98.21194965,\n", - " 79.73028474, 96.19614352, 106.92215524, 101.82906931,\n", - " 80.8334684 , 84.81087441, 95.00153947, 90.04411772,\n", - " 99.98018619, 96.50469782, 102.67477723, 98.70593416,\n", - " 107.83137522, 95.40102798, 102.67778589, 98.4848415 ,\n", - " 103.39935594, 96.41696011, 75.11441689, 95.4689499 ,\n", - " 108.29186744, 53.65697008, 85.04313543, 97.31608051,\n", - " 95.93763115, 96.11572999, 77.57280138, 105.14894815,\n", - " 77.17746912, 93.5188447 , 97.34511849, 100.60831049,\n", - " 107.81302177, 79.46894414, 98.19758603, 76.37047505,\n", - " 90.51954348, 93.54253767, 89.14577909, 104.241398 ,\n", - " 68.96291373, 71.9719126 , 95.65097646, 65.47914045,\n", - " 103.91321862, 110.14479291, 104.70070668, 103.74338515,\n", - " 107.10308217, 108.9939803 , 84.91762665, 109.04514039,\n", - " 93.94932073, 128.7628462 , 105.49794823, 99.22268403,\n", - " 95.39316268, 99.94924801, 97.43334862, 95.14964098,\n", - " 95.39454361, 100.67411849, 92.19006115, 147.85113193,\n", - " 149.02333522, 75.54695885, 99.92533349, 134.94801375,\n", - " 118.65551836, 99.41660336, 108.46975158, 100.91505917,\n", - " 60.06000783, 147.24448377, 98.24532191, 75.21166374,\n", - " 100.78227279, 70.15125388, 99.77398807, 95.11955012,\n", - " 103.23626411, 109.08960213, 133.37757438, 108.72861903,\n", - " 95.38102906, 97.00884828, 95.27604149, 105.08607426,\n", - " 100.8274758 , 94.33143974, 130.9603603 , 96.9666562 ,\n", - " 121.40936273, 101.21200059, 96.33241365, 97.03529643,\n", - " 101.6099895 , 100.26390565, 98.07840464, 98.11133532,\n", - " 108.49050249, 106.96873172, 100.86223129, 108.48562642,\n", - " 82.21288733, 136.31307534, 104.04684105, 86.72449666,\n", - " 79.29920903, 96.90423501, 95.61925121, 57.82498297,\n", - " 106.19524592, 131.63590501, 95.98866576, 102.57098568,\n", - " 81.91871142, 96.47917641, 97.96787047, 95.35125522,\n", - " 104.06030217, 63.37672765, 101.33006655, 106.95157489,\n", - " 64.34163818, 102.66626853, 96.77398447, 98.55148836,\n", - " -1.6634491 , 80.1788283 , 81.12681655, 160.5339705 ,\n", - " 110.93248983, -0.43043138, -0.79436774, 110.30203223,\n", - " 77.77791478, 98.83294529, 113.50762745, 34.61809531,\n", - " 40.48131244, 136.50664363, 80. , 39.99 ,\n", - " 217.69684084, 150. , 1.72776122, 178.88577552,\n", - " 218.22186813, 98.93166666, 148.94232241, 108.51831201,\n", - " 108.13747263, -0.45725455, 174.82340984, 54.77875974,\n", - " 72.42071915, 177.72194617, 121.39576573, 135.84543542,\n", - " 86.22882961, 75.64935381, 139.99 , 179.38610263,\n", - " 0. , 0. , 62.17400445, 77.3935962 ,\n", - " 46.194113 , 69.06887733, 35.8622619 , 42.31905477,\n", - " 26.77547469, 35.98031001, 58.78799807, 54.44844919,\n", - " 50.82311866, 55.69084693, 57.90666486]), array([ 99.52527847, 133.91628162, 103.00848742, 76.63937037,\n", - " 107.62200546, 107.81741709, 108.76403702, 105.61576362,\n", - " 88.72374996, 56.60797813, 106.71631056, 108.03176937,\n", - " 101.98091659, 100.28373066, 100.69111197, 102.19136988,\n", - " 89.54461235, 90.05189454, 87.86663477, 98.94668917,\n", - " 102.5363429 , 101.53803221, 98.41902214, 107.43883306,\n", - " 108.50421867, 107.1199017 , 98.28055754, 99.72751505,\n", - " 73.35969605, 149.11828987, 103.5567716 , 101.99125675,\n", - " 106.24542241, 65.41182391, 101.90311515, 71.55463212,\n", - " 91.64787402, 82.09060989, 47.95533433, 62.45047733,\n", - " 96.99976957, 99.34789215, 100.98890568, 96.77349821,\n", - " 108.60052516, 66.39606829, 108.38919679, 76.3697319 ,\n", - " 108.63168028, 142.03114533, 105.96936267, 105.18378397,\n", - " 102.3458355 , 108.43865929, 75.13152207, 107.53883292,\n", - " 107.34845989, 125.80429784, 95.59703149, 72.3154299 ,\n", - " 96.84782817, 97.07560917, 99.19790559, 99.13796741,\n", - " 83.50713116, 89.94599805, 95.81927942, 93.50741494,\n", - " 94.96223179, 376.85139601, 82.4571229 , 90.29363649,\n", - " 101.94579856, 102.47784763, 97.84725698, 98.43998809,\n", - " 50.16994761, 103.17372618, 100.02125737, 98.43771893,\n", - " 49.83856109, 117.81728852, 105.83223399, 103.97680039,\n", - " 106.99469313, 106.55635868, 96.22950894, 103.65220279,\n", - " 103.73050675, 53.03499467, 47.51653061, 107.72827416,\n", - " 81.10834575, 79.20810215, 116.04732443, 102.1688881 ,\n", - " 107.94474054, 107.95444646, 65.42619809, 100.55851368,\n", - " 127.11755474, 132.78302025, 88.71997419, 117.46722858,\n", - " 99.14343314, 98.6938372 , 99.44867686, 105.99210748,\n", - " 105.85308975, 102.40920105, 107.07400577, 102.78739 ,\n", - " 145.66659153, 100.85535474, 89.91153271, 148.37874471,\n", - " 110.09775108, 118.39545 , 111.45568298, 149.16056546,\n", - " 118.48056744, 96.258012 , 97.71996556, 104.35977983,\n", - " 107.59123192, 147.91287222, 95.12584711, 94.65110317,\n", - " 125.69801187, 124.6870091 , 104.28898434, 96.83827642,\n", - " 106.43459299, 106.14031585, 104.11009036, 106.27544611,\n", - " 112.80680346, 107.87185793, 106.92304483, 106.92610789,\n", - " 95.38240617, 93.2766802 , 99.81021427, 108.08000957,\n", - " 103.37447282, 106.47114194, 106.32115118, 97.01288704,\n", - " 102.67087101, 119.61137251, 109.21370724, 82.55520557,\n", - " 143.29759947, 147.8411645 , 119.22077845, 102.56714617,\n", - " 97.43128852, 98.14861176, 104.70243586, 54.9906125 ,\n", - " 55.99202413, 107.39988948, 105.26038777, 100.93824222,\n", - " 108.95510603, 108.95495806, 136.0413259 , 118.20059415,\n", - " 97.3466243 , 106.15451041, 95.28601741, 100.87732025,\n", - " 98.04851171, 84.72690251, 73.2444413 , 107.5731978 ,\n", - " 108.30635156, 85.60811374, 85.51555851, 106.20847208,\n", - " 108.50437725, 94.38130587, 102.67253141, 106.34000519,\n", - " 104.30749577, 63.13069517, 95.82707903, 90.50470905,\n", - " 90.83439663, 78.45588299, 71.74355243, 100.28629445,\n", - " 64.16558407, 106.40665587, 109.67375699, 107.40893138,\n", - " 99.97856636, 104.10739537, 138.26564358, 101.90124309,\n", - " 108.09254611, 145.89260417, 97.63908685, 102.29332814,\n", - " 135.09738672, 99.09607161, 98.99324258, 95.37867199,\n", - " 105.78769803, 106.7539359 , 107.29696968, 126.33139443,\n", - " 122.61313177, 125.47491334, 107.17669806, 90.39686153,\n", - " 108.55824987, 108.55831557, 122.50455202, 121.87063604,\n", - " 110.25337114, 81.28432381, 86.02164862, 117.73222135,\n", - " 99.20883358, 108.94507053, 85.65420822, 85.05868039,\n", - " 96.13489517, 95.33144228, 105.17627751, 109.252462 ,\n", - " 116.82372207, 115.14372334, 108.38072725, 97.7529144 ,\n", - " 95.56071771, 97.39605901, 103.29782334, 119.0868795 ,\n", - " 107.89911115, 105.98942951, 94.39111693, 106.17437895,\n", - " 103.23407897, 117.16400648, 75.40358567, 70.42657845,\n", - " 73.60837768, 96.44946986, 95.58629423, 147.21215859,\n", - " 116.3339684 , 103.56132294, 105.22480733, 108.34612409,\n", - " 98.42747801, 106.92011267, 98.79044121, 77.82166127,\n", - " 79.33507559, 99.2680133 , 90.98273659, 88.53325996,\n", - " 100.37696531, 68.08499413, 86.36429563, 96.91782986,\n", - " 106.88179187, 132.91311967, 86.12841948, 91.84035443,\n", - " 106.92632995, 110.01619419, 109.80369701, 97.662567 ,\n", - " 98.87016234, 94.54390792, 121.67581133, 118.82120195,\n", - " 82.13650664, 103.12592998, 102.83165413, 103.84046188,\n", - " 108.3830482 , 85.54037404, 99.05687371, 85.12712166,\n", - " 73.47051346, 71.6908637 , 146.33783648, 114.62295743,\n", - " 65.81011539, 67.75337944, 124.15743815, 112.29785918,\n", - " 83.43742471, 135.38361944, 68.72586621, 91.16363251,\n", - " 103.6378779 , 108.31400804, 95.72314978, 104.70621165,\n", - " 107.18568537, 105.43179132, 108.35014588, 104.90465402,\n", - " 126.24699433, 104.40577468, 98.88208709, 105.97469904,\n", - " 77.99414714, 77.57332596, 140.00911841, 140.2420411 ,\n", - " 104.16238729, 71.35498401, 102.10698619, 92.08612172,\n", - " 108.95411154, 99.28767485, 82.51489778, 81.19455806,\n", - " 96.89994693, 101.70494685, 98.03940489, 105.64427819,\n", - " 102.65734951, 103.84301554, 103.85028032, 136.88331619,\n", - " 97.91351833, 98.43212003, 89.33933684, 87.64699703,\n", - " 143.32377846, 140.06391198, 107.59156135, 101.16092486,\n", - " 119.6702173 , 104.69161117, 143.24948773, 117.09297099,\n", - " 100.83577528, 100.51359437, 104.26524806, 115.95694347,\n", - " 94.14642414, 70.17973428, 104.93880227, 104.99107835,\n", - " 100.07165898, 97.93672079, 99.25207619, 102.20226162,\n", - " 146.18374273, 140.76162113, 106.45137985, 96.23538076,\n", - " 101.0133274 , 99.28698785, 105.43077231, 104.53408375,\n", - " 107.43395075, 129.61028747, 140.03519078, 108.23485879,\n", - " 108.39188542, 106.5852289 , 105.83668817, 103.94096741,\n", - " 98.45053651, 106.37679894, 97.68643103, 97.69850365,\n", - " 102.47656563, 93.95138991, 83.21866177, 139.39351578,\n", - " 101.37663128, 126.34293442, 106.3310117 , 106.79556923,\n", - " 103.99461464, 87.39006827, 45.67263247, 109.54159429,\n", - " 110.82923506, 120.931595 , 106.53159542, 107.07421062,\n", - " 105.12946477, 65.35391422, 91.33073512, 106.48694281,\n", - " 97.34639113, 84.03104099, 123.26808628, 109.62816359,\n", - " 106.86532323, 105.33178787, 65.65657223, 108.39261099,\n", - " 96.96463748, 103.28570432, 105.04424969, 108.40373612,\n", - " 106.42691344, 98.1742987 , 98.14096811, 111.85088271,\n", - " 67.89478938, 145.15550267, 91.03513437, 85.95023404,\n", - " 109.58151908, 108.42808119, 83.36833122, 87.46762886,\n", - " 95.32637665, 104.64940949, 103.3350025 , 98.97032193,\n", - " 98.98373579, 103.68236018, 96.44656955, 103.13875959,\n", - " 102.28896198, 124.70789699, 106.03650147, 78.18012074,\n", - " 105.63970948, 98.80294176, 84.67358409, 106.6041926 ,\n", - " 96.4466821 , 81.60470293, 108.25620948, 75.35035881,\n", - " 122.56903725, 124.525498 , 98.06064442, 98.90695618,\n", - " 98.0420116 , 107.05460358, 97.8324993 , 107.35305991,\n", - " 106.91006619, 106.33017968, 95.45236183, 116.23076422,\n", - " 57.54703542, 58.8791362 , 86.8988094 , 106.91340764,\n", - " 96.24967147, 61.28293351, 68.73142606, 110.32249354,\n", - " 107.95331943, 103.85603891, 94.90437246, 47.89578527,\n", - " 104.86050892, 95.50257159, 108.2097884 , 95.67085767,\n", - " 103.15667722, 103.26729078, 98.48673151, 106.8008508 ,\n", - " 102.27082055, 91.57274131, 105.40953485, 99.34003168,\n", - " 108.26709686, 139.64679755, 102.9607357 , 110.74730998,\n", - " 80.34905809, 67.41216523, 107.5644801 , 107.8003579 ,\n", - " 105.75597953, 106.24236113, 112.91856392, 135.51135657,\n", - " 95.85786398, 114.08576554, 114.77403121, 120.32932094,\n", - " 108.9969657 , 107.15388076, 93.24911478, 79.20523073,\n", - " 79.46275713, 101.17400803, 96.62826098, 108.80633913,\n", - " 106.92583038, 52.40064302, 52.6572003 , 76.93375043,\n", - " 108.14793807, 106.48344317, 85.19416091, 105.13477126,\n", - " 107.70287093, 106.16879884, 91.97598432, 85.28048661,\n", - " 101.14755192, 107.05727627, 107.44986203, 106.70780362,\n", - " 106.52104801, 100.74146995, 105.80609424, 108.00728336,\n", - " 93.23764503, 113.76124874, 93.3447141 , 102.82408985,\n", - " 104.00352737, 108.57773013, 103.10418807, 105.91778296,\n", - " 108.93659856, 99.32921194, 138.61657666, 120.92348508,\n", - " 147.17810097, 126.29811197, 97.11949255, 96.15844963,\n", - " 95.6410075 , 105.81691491, 106.85015243, 105.59016146,\n", - " 137.45250517, 106.92344132, 108.39115128, 86.63792322,\n", - " 133.04375907, 96.25167158, 97.53132206, 104.72213151,\n", - " 107.11865209, 80.21737928, 121.15093539, 110.06274371,\n", - " 118.18965631, 103.79037104, 96.96350649, 95.83544337,\n", - " 97.0028407 , 122.81051634, 143.14704775, 105.69412017,\n", - " 103.37030054, 107.04832688, 56.26557012, 106.09291698,\n", - " 105.10234456, 97.73797147, 95.98542596, 99.32942997,\n", - " 81.13775205, 98.27627208, 87.96091619, 94.3279473 ,\n", - " 107.25063424, 106.43637015, 105.36369295, 99.76622003,\n", - " 100.5195785 , 106.60442285, 107.20272348, 80.38639456,\n", - " 106.54774696, 100.59108029, 110.54832293, 93.43458193,\n", - " 116.90669982, 99.64347242, 96.09497236, 105.15778086,\n", - " 137.37985907, 95.31295417, 97.68463158, 112.76777255,\n", - " 103.13054374, 103.93257959, 108.72678962, 107.86394223,\n", - " 125.85953713, 99.1262224 , 105.08629969, 97.67402856,\n", - " 99.49388855, 96.84530693, 99.26354422, 98.54326891,\n", - " 97.43334388, 106.81664212, 96.97573507, 103.49385105,\n", - " 107.59945338, 97.29965473, 102.49597598, 96.79113665,\n", - " 97.6602063 , 127.9449153 , 97.98672272, 105.36443288,\n", - " 105.98180855, 97.04864493, 76.78407051, 100.6772738 ,\n", - " 103.65710962, 101.33947449, 116.81410025, 124.23779581,\n", - " 108.39209557, 86.67109294, 100.09804647, 108.96340927,\n", - " 108.1384073 , 136.24598155, 86.58762607, 149.10306463,\n", - " 115.68550013, 80.4431335 , 78.69749779, 146.78666261,\n", - " 99.87376557, 99.85868917, 110.42627137, 102.83308799,\n", - " 79.2146929 , 78.81900439, 109.47778043, 105.56874518,\n", - " 98.92101526, 106.72329364, 105.36740737, 139.80070686,\n", - " 107.47506831, 146.90630216, 90.22436545, 108.38814778,\n", - " 108.39057063, 107.03157461, 97.40198319, 108.95390405,\n", - " 106.93871269, 98.12783956, 102.0290639 , 104.89679696,\n", - " 108.83651288, 97.39635797, 95.61750304, 102.22079868,\n", - " 92.21997868, 95.00696428, 83.34253753, 99.20085941,\n", - " 99.19456703, 98.67884398, 107.40911596, 108.23316756,\n", - " 84.48925695, 81.45742368, 117.12949588, 78.76398049,\n", - " 97.31138151, 119.07332354, 99.07083134, 104.73305533,\n", - " 110.54491574, 110.54488927, 108.95500012, 96.54314505,\n", - " 94.76254718, 108.02634925, 107.42913186, 77.49008783,\n", - " 72.04371727, 107.09431163, 106.50375306, 94.50494328,\n", - " 89.3245124 , 105.8937741 , 103.28072379, 95.12370963,\n", - " 120.62493694, 98.94534978, 102.49234791, 93.51501724,\n", - " 109.03276979, 77.4319655 , 78.21502321, 107.51744467,\n", - " 83.97524917, 102.29090248, 99.91510323, 78.28381339,\n", - " 104.87331492, 89.77342815, 115.23167938, 104.31711257,\n", - " 95.29392105, 98.06728336, 128.78664071, 55.17780554,\n", - " 72.56162089, 108.23378699, 82.05519997, 85.50655504,\n", - " 74.54552142, 96.39752005, 74.3065387 , 102.7584144 ,\n", - " 125.48427975, 86.87965799, 78.92729631, 81.37144872,\n", - " 97.77942729, 105.59693151, 96.54341529, 88.88408549,\n", - " 106.98188706, 74.97421374, 100.11607454, 105.58148899,\n", - " 106.98447486, 105.95179097, 98.08009714, 86.4497566 ,\n", - " 108.39224893, 101.17201613, 103.49472083, 55.3935631 ,\n", - " 113.96557226, 109.40066286, 95.65758767, 95.90742241,\n", - " 80.15454305, 105.70436044, 106.58136059, 99.29340066,\n", - " 84.24599047, 106.65069567, 148.58602153, 98.14044997,\n", - " 79.66496209, 96.11847109, 106.85951889, 101.77078051,\n", - " 80.14230239, 84.51397932, 94.51041581, 89.97244048,\n", - " 99.90869578, 95.66643324, 102.62161048, 98.63410832,\n", - " 107.10703691, 95.20098602, 102.419019 , 98.41532367,\n", - " 103.35307439, 96.34518291, 74.91277778, 95.39650326,\n", - " 108.22240334, 53.58529273, 84.40720998, 97.24433156,\n", - " 95.86420142, 96.0439528 , 77.50747828, 105.1525216 ,\n", - " 77.0570461 , 93.44701558, 97.27345021, 100.41568681,\n", - " 107.75985494, 79.39709233, 98.12583707, 75.67930741,\n", - " 90.25933092, 93.34987879, 88.53166254, 104.1812366 ,\n", - " 68.75988647, 71.89905723, 95.57335364, 65.32680762,\n", - " 103.84372732, 110.09780288, 104.6225979 , 103.69461375,\n", - " 106.91006504, 108.95398511, 84.44303458, 109.04896203,\n", - " 93.87169792, 128.161449 , 105.49440982, 99.13937265,\n", - " 95.31699317, 99.91444007, 97.35716722, 95.07345957,\n", - " 95.17148006, 100.600559 , 92.11650165, 147.71198953,\n", - " 148.62729569, 74.85567113, 99.92144226, 134.89403928,\n", - " 118.18858504, 99.19353779, 108.39209553, 100.91957657,\n", - " 59.99033308, 147.10532765, 98.21498569, 74.60031041,\n", - " 100.72456802, 70.07533689, 99.6999917 , 95.06466542,\n", - " 103.16499403, 109.05705003, 132.92767176, 108.69283466,\n", - " 95.15796767, 96.97309784, 95.20439684, 105.0146731 ,\n", - " 100.63479346, 94.13655839, 130.17940551, 96.91031679,\n", - " 120.91580516, 101.01929432, 96.2610081 , 96.9628189 ,\n", - " 101.53387726, 100.26731545, 98.00071255, 98.03364317,\n", - " 108.44964427, 106.88559703, 100.80583353, 108.41616201,\n", - " 82.17388673, 136.27640423, 103.97071534, 86.65429908,\n", - " 79.22888522, 96.82649588, 95.35900941, 57.67991512,\n", - " 106.13690634, 131.59923383, 95.91249368, 102.47367581,\n", - " 81.84689811, 96.40745988, 97.8960931 , 95.3520849 ,\n", - " 104.00354536, 63.33840805, 101.25833674, 106.88894082,\n", - " 64.33672338, 102.46318972, 96.70175571, 98.4797557 ,\n", - " -1.6634491 , 79.83639476, 80.38688676, 160.45757326,\n", - " 110.54832293, -0.43043485, -0.7943713 , 110.24330204,\n", - " 77.43989753, 98.23898461, 113.66740729, 34.09101529,\n", - " 40.4506771 , 135.72568884, 80. , 39.99 ,\n", - " 214.00525262, 150. , 1.72776122, 177.78103471,\n", - " 214.5517139 , 98.30730556, 148.89621806, 108.44084248,\n", - " 108.05819431, -0.45726344, 174.57882678, 54.32928692,\n", - " 72.43444295, 176.9979283 , 121.39085093, 134.7419888 ,\n", - " 85.94750198, 75.62128507, 139.99 , 178.27306696,\n", - " 0. , 0. , 62.17179459, 77.40009948,\n", - " 46.194113 , 69.0725397 , 35.90263989, 42.31905477,\n", - " 26.77547469, 35.97612347, 58.79268657, 54.4718209 ,\n", - " 50.82314356, 55.56184902, 58.10973109]), array([105.74152601, 133.99900388, 103.77569614, 77.40377988,\n", - " 108.51754249, 108.7053256 , 109.65174588, 106.50232659,\n", - " 89.65412236, 57.53933592, 107.65861431, 108.97466566,\n", - " 101.98045253, 101.17143211, 101.58127221, 103.0815301 ,\n", - " 90.2516268 , 90.80792321, 88.75466159, 99.83472448,\n", - " 103.42336836, 102.42438809, 99.30885602, 107.5692466 ,\n", - " 109.45319657, 108.06532362, 99.17027993, 100.33412121,\n", - " 73.95844162, 148.98320378, 103.118254 , 102.60878175,\n", - " 106.8629454 , 66.35767339, 102.98881497, 72.50048258,\n", - " 92.58403237, 83.02672398, 48.90118047, 63.39632541,\n", - " 97.80621082, 100.1543193 , 102.07951296, 98.02934577,\n", - " 109.47783373, 66.21632505, 108.58849159, 76.26498926,\n", - " 109.51014502, 142.10918971, 106.85680024, 106.07668936,\n", - " 103.22829945, 109.3167722 , 75.93757427, 108.34599725,\n", - " 108.15556736, 125.42735333, 95.77076341, 71.93799584,\n", - " 97.45506435, 97.27594068, 99.22161954, 99.16054218,\n", - " 84.4529879 , 90.89162425, 95.93818387, 93.62010119,\n", - " 95.90812761, 377.91522548, 83.40298766, 91.23947619,\n", - " 102.36792082, 102.89996989, 98.46482328, 98.63903585,\n", - " 50.36896975, 103.41438999, 100.25861437, 98.46113737,\n", - " 50.95233805, 117.25656099, 105.27148977, 103.87199245,\n", - " 107.62165469, 107.19601337, 97.17540995, 103.93076075,\n", - " 104.00546698, 53.98083727, 48.46237556, 107.85872133,\n", - " 82.05420955, 80.15395913, 115.49386018, 101.6154149 ,\n", - " 108.82285337, 108.83255929, 65.56256094, 100.69491709,\n", - " 125.75592325, 131.51905662, 88.22794415, 116.20309983,\n", - " 100.08087976, 99.63129449, 99.47189847, 106.27884069,\n", - " 106.63122046, 103.16659608, 107.38612791, 103.0994571 ,\n", - " 144.55759096, 102.3842014 , 91.44150171, 147.18703874,\n", - " 110.40987709, 118.20690839, 111.26711263, 148.13763146,\n", - " 117.28878813, 98.96807134, 100.36259592, 106.40456088,\n", - " 109.6398609 , 147.78868944, 95.0697511 , 94.59488078,\n", - " 127.18015875, 125.99396479, 105.09635706, 97.64475218,\n", - " 106.72682788, 106.43143063, 104.1273187 , 106.29611774,\n", - " 118.51546471, 108.68098006, 107.82143514, 107.82546572,\n", - " 95.28243478, 93.17450965, 99.93943015, 108.11986388,\n", - " 103.64862016, 107.40076448, 107.24841269, 102.72154709,\n", - " 102.80192684, 119.33513621, 109.34447705, 83.62189619,\n", - " 142.14570876, 147.57283728, 119.30436716, 102.87881501,\n", - " 97.78380617, 98.50736883, 105.64782265, 55.97158162,\n", - " 56.98561091, 108.29984088, 105.39043761, 101.06317789,\n", - " 108.99274303, 108.99247075, 135.7578784 , 117.9242726 ,\n", - " 97.69740027, 107.09989686, 96.36330309, 101.95460562,\n", - " 98.39349219, 85.67274334, 74.19027272, 108.45730897,\n", - " 109.18828087, 86.55396173, 86.46140465, 107.03519558,\n", - " 109.44975888, 95.46415879, 103.75623799, 106.95954871,\n", - " 104.92607629, 64.10246309, 96.81266731, 91.4899562 ,\n", - " 91.9925127 , 79.61399969, 72.63475403, 101.1884546 ,\n", - " 65.05880062, 106.82346298, 110.08444901, 108.29545715,\n", - " 100.20034571, 104.32917469, 138.35105597, 102.78412341,\n", - " 108.97425341, 145.62536038, 98.5492745 , 103.38064882,\n", - " 134.92060138, 100.03382171, 99.93090725, 96.61577033,\n", - " 106.99543316, 107.63433235, 108.17740266, 127.48928215,\n", - " 123.85425447, 125.22725647, 107.86952138, 90.95482522,\n", - " 109.50061494, 109.50064216, 123.6229652 , 123.00284629,\n", - " 110.50326387, 81.53294593, 86.96749135, 116.62227787,\n", - " 100.19436702, 109.07772312, 86.60004936, 86.00452131,\n", - " 97.08081891, 96.41429198, 105.31073801, 109.39279717,\n", - " 115.56882865, 113.89042488, 109.46826426, 98.63960555,\n", - " 95.86843235, 98.28035634, 104.23642759, 119.18203611,\n", - " 108.78357972, 106.85116097, 95.25274073, 107.06078473,\n", - " 104.10680364, 115.90635824, 76.16798417, 70.73403032,\n", - " 74.37277385, 97.28746874, 96.44884567, 147.07707144,\n", - " 115.15841628, 104.40444472, 106.12312417, 109.24403452,\n", - " 99.29040082, 107.86539594, 99.65339017, 78.41779866,\n", - " 79.93119961, 98.82793193, 90.54249497, 89.47145608,\n", - " 101.31232751, 68.84824356, 86.49398494, 97.04758591,\n", - " 107.78516573, 132.77820703, 87.02165983, 92.73359565,\n", - " 107.54593786, 110.03754276, 109.82503981, 98.69636248,\n", - " 99.80780829, 95.62570017, 123.15696981, 120.29825912,\n", - " 83.29462345, 104.18868417, 103.89438669, 104.1078642 ,\n", - " 108.64771965, 86.40204788, 99.99433577, 85.9887108 ,\n", - " 74.41636654, 72.63671678, 146.14727848, 114.40260072,\n", - " 66.70335533, 68.64661955, 123.73222781, 111.86155928,\n", - " 84.47119222, 134.16996042, 69.7591743 , 96.59866089,\n", - " 103.85576502, 108.53189505, 96.48566717, 105.56794319,\n", - " 108.04741785, 105.56197842, 108.47803331, 105.80097246,\n", - " 124.88898839, 105.30199248, 99.77002487, 106.85531975,\n", - " 78.88737229, 78.46655092, 139.80395478, 140.03686117,\n", - " 105.0579092 , 72.38875137, 102.72298744, 92.97936255,\n", - " 108.99091308, 100.22513214, 84.58864569, 83.1886734 ,\n", - " 97.7063963 , 101.73256483, 98.97680371, 105.50614475,\n", - " 103.55394392, 104.74036615, 104.74732305, 135.63298467,\n", - " 98.80678568, 99.32312851, 90.28517682, 88.592837 ,\n", - " 142.17087495, 138.91095478, 108.49135549, 102.09830976,\n", - " 119.8186175 , 104.83936587, 141.99340305, 115.83592677,\n", - " 101.72451684, 101.4017439 , 105.16164716, 117.26304186,\n", - " 94.34544033, 70.37875026, 105.94588875, 105.86438721,\n", - " 101.3126415 , 98.8208409 , 100.12983672, 103.08485151,\n", - " 144.95382293, 139.55705462, 107.34708492, 97.1286397 ,\n", - " 101.90243214, 100.17398913, 106.3184122 , 105.43025922,\n", - " 108.32303416, 129.23122199, 139.65387565, 109.31982737,\n", - " 109.47887458, 107.4888267 , 106.74016479, 104.83715127,\n", - " 99.33668975, 107.32276454, 98.84454837, 97.89753337,\n", - " 103.42214454, 94.89723315, 83.17740158, 139.3520558 ,\n", - " 101.99587923, 127.82497113, 107.10695679, 107.68276753,\n", - " 105.54970792, 88.92906057, 45.87164806, 111.07397451,\n", - " 111.65048027, 120.90709444, 106.86972138, 107.41610205,\n", - " 105.23138672, 66.1207563 , 91.43030118, 107.43233314,\n", - " 98.29178019, 83.96978749, 123.20464625, 109.84605059,\n", - " 107.80765134, 106.27411598, 66.58634629, 109.47983814,\n", - " 97.56350402, 104.26357628, 105.91676246, 109.29116942,\n", - " 107.5798994 , 99.06214747, 99.02881057, 113.00591794,\n", - " 68.84062069, 144.88784597, 92.06891097, 86.54687666,\n", - " 109.80136294, 108.6622513 , 83.2916179 , 87.47405247,\n", - " 96.26455035, 105.5376038 , 103.95298353, 99.85825967,\n", - " 99.87160565, 104.62217428, 97.33651073, 104.03382449,\n", - " 103.18296539, 123.34958661, 106.23575458, 78.37937355,\n", - " 106.54297547, 100.33178768, 87.47048223, 107.50060292,\n", - " 97.43240261, 82.49460343, 108.39425548, 76.14436799,\n", - " 122.38639127, 124.34370992, 97.95813413, 99.83535788,\n", - " 98.97024849, 108.14375999, 98.42601929, 108.44221573,\n", - " 107.52756585, 106.94767841, 96.3351104 , 116.0402048 ,\n", - " 58.59783818, 59.92943487, 87.64959258, 107.80911271,\n", - " 96.8431694 , 62.04666688, 69.31555838, 110.34406016,\n", - " 109.03826622, 104.11700274, 95.05120069, 48.04261333,\n", - " 105.75050617, 96.40078997, 109.10691953, 96.58032066,\n", - " 103.55166732, 104.16239559, 99.3802138 , 107.74317739,\n", - " 103.8009088 , 93.10684304, 106.2955655 , 100.21720317,\n", - " 109.1621776 , 139.78572554, 103.57663922, 111.36321346,\n", - " 81.16870854, 68.23128247, 108.46427424, 108.0788438 ,\n", - " 106.63650513, 107.1228887 , 114.68563044, 135.59274121,\n", - " 96.72248995, 115.81233542, 116.50046553, 120.05319294,\n", - " 109.14544648, 107.30177906, 94.30645234, 80.74002241,\n", - " 80.99548755, 102.05564573, 97.56564653, 109.68734992,\n", - " 107.5453944 , 53.34648474, 53.60304269, 77.87960354,\n", - " 109.03902868, 107.37825838, 85.33004513, 105.32030015,\n", - " 108.59831043, 106.35432812, 92.16156146, 86.22632746,\n", - " 102.07434381, 108.00077873, 108.39361858, 107.61977005,\n", - " 107.44721119, 100.76279803, 105.78087038, 108.90260623,\n", - " 94.17601052, 114.66609679, 93.54503824, 103.72765934,\n", - " 104.91639524, 108.69461195, 104.03763781, 106.78992463,\n", - " 109.08401625, 100.21677767, 138.54360179, 120.73493471,\n", - " 145.94135566, 125.05776409, 97.26584745, 96.30486975,\n", - " 96.70478198, 106.71443473, 107.7484575 , 106.48777629,\n", - " 136.24598775, 107.82164387, 109.47790022, 86.83824723,\n", - " 132.65013501, 97.18771917, 98.41530074, 105.33795623,\n", - " 107.80953834, 81.71901071, 120.69488858, 110.83910806,\n", - " 118.89925574, 106.28553366, 98.20060182, 96.72526941,\n", - " 97.89267381, 123.58203013, 142.83271733, 106.58153603,\n", - " 104.29667033, 107.82437028, 57.20493631, 107.29837043,\n", - " 105.99360219, 98.63450645, 97.06698813, 100.85535149,\n", - " 82.65929639, 99.16636841, 87.98175121, 93.9436951 ,\n", - " 107.86564185, 107.05432913, 106.45284876, 100.04001145,\n", - " 100.79317091, 106.82230984, 107.42061046, 79.91241674,\n", - " 106.76320617, 100.80653538, 110.79818301, 94.04957118,\n", - " 116.67278812, 99.4032699 , 97.08021955, 105.35678906,\n", - " 137.20469321, 96.21304713, 98.57450743, 113.45854825,\n", - " 103.7969051 , 104.81056676, 108.98398098, 108.74202885,\n", - " 125.62987829, 99.9814831 , 105.4290291 , 98.61141245,\n", - " 100.43127243, 97.77389128, 100.12525101, 99.40497509,\n", - " 98.41858643, 107.70522686, 97.96097705, 103.76139075,\n", - " 107.74779822, 97.44648317, 103.44152188, 97.72852067,\n", - " 98.59759019, 129.04131434, 98.60176601, 105.98020225,\n", - " 106.87622041, 97.66362945, 77.39905501, 101.29225945,\n", - " 104.57284832, 102.25521312, 116.41936958, 124.38789838,\n", - " 109.47915332, 86.67751609, 100.98767252, 109.21602414,\n", - " 108.32393657, 135.2229097 , 86.78663423, 148.15700891,\n", - " 114.47886829, 81.33637385, 79.59073814, 145.54402435,\n", - " 100.76322172, 100.66557245, 109.98757587, 102.39436379,\n", - " 80.74796936, 80.3518085 , 109.67777027, 106.63149918,\n", - " 99.81183088, 107.66880512, 105.23255668, 138.62536508,\n", - " 107.51458566, 145.71379327, 91.08322386, 109.47391714,\n", - " 109.47712984, 107.37346597, 98.29190386, 108.99053127,\n", - " 107.8375629 , 99.0652368 , 102.91167212, 105.87475125,\n", - " 109.70808837, 98.01137031, 96.68121037, 103.28360773,\n", - " 93.15832037, 95.94530597, 83.93862535, 100.10851313,\n", - " 100.09301948, 99.56846533, 108.30794174, 108.37140365,\n", - " 86.53189746, 82.3928894 , 117.2233105 , 80.29223879,\n", - " 98.02085694, 120.32787543, 100.02104252, 105.98750805,\n", - " 110.79191343, 110.79186473, 108.99254814, 97.46247245,\n", - " 95.69150194, 109.11138398, 108.51416659, 78.37998041,\n", - " 72.93360463, 108.04029061, 107.40684316, 95.11987964,\n", - " 92.03456645, 106.77246214, 103.55831594, 95.73869411,\n", - " 120.15828422, 99.56385869, 102.83652497, 94.32122014,\n", - " 109.37466109, 77.56156186, 78.92203146, 107.07922481,\n", - " 85.21234183, 103.1844397 , 100.80482498, 78.53080198,\n", - " 105.21595657, 90.57963082, 113.97830487, 104.53889188,\n", - " 96.19203107, 98.20550581, 127.54399969, 55.32876464,\n", - " 73.50747186, 109.43011723, 83.53905073, 85.06630826,\n", - " 75.23577219, 96.59654948, 74.50556466, 103.37592428,\n", - " 125.41344149, 86.7412694 , 79.82051666, 80.93117021,\n", - " 98.6850832 , 105.74529103, 97.13936031, 90.00123898,\n", - " 107.92739392, 75.86743409, 100.72640997, 106.48596547,\n", - " 107.32636619, 106.2936823 , 98.96978142, 87.2559224 ,\n", - " 109.47935706, 102.10940002, 103.75649186, 56.3393933 ,\n", - " 113.73262899, 108.85690697, 96.59490491, 96.84466177,\n", - " 80.0132824 , 106.60140478, 106.53263008, 100.15510918,\n", - " 83.73481039, 106.99236171, 147.43365388, 99.03111898,\n", - " 80.61080336, 97.20209828, 107.75733402, 101.53318075,\n", - " 80.0655692 , 85.2743103 , 94.71073552, 90.90234872,\n", - " 100.84634173, 95.13231856, 102.98036712, 99.52432085,\n", - " 108.72652203, 95.80047939, 101.98247258, 99.30880596,\n", - " 103.14624468, 97.28242016, 75.50817827, 96.31583066,\n", - " 109.16474049, 54.51520072, 86.45168742, 98.18194793,\n", - " 96.76998678, 96.9811901 , 78.45332746, 105.30086642,\n", - " 78.02431463, 94.38538106, 98.16388321, 101.03426309,\n", - " 108.11861136, 80.33583362, 99.06345344, 75.60257003,\n", - " 89.81907979, 93.96838089, 88.47552299, 104.60335887,\n", - " 69.35172968, 72.86121451, 96.6562033 , 66.40836961,\n", - " 104.74077046, 110.40994493, 105.50265127, 104.5723737 ,\n", - " 107.52756375, 108.99068044, 87.08398007, 109.19744521,\n", - " 94.95454762, 127.89616746, 105.62452971, 100.32631708,\n", - " 96.38067365, 100.0333437 , 98.42099668, 96.13728904,\n", - " 96.15672724, 101.63297218, 93.14891482, 147.444347 ,\n", - " 147.61240013, 74.77862604, 100.05065804, 134.82079806,\n", - " 116.99201626, 100.17877976, 109.47915325, 101.06839274,\n", - " 60.88357301, 146.83764993, 98.34534859, 74.5512519 ,\n", - " 101.61589302, 71.10893716, 100.73759849, 95.94908994,\n", - " 104.09758821, 109.26262221, 131.77474602, 108.93536797,\n", - " 96.14322037, 97.08958623, 96.13317766, 106.02175957,\n", - " 101.25323543, 94.74936516, 129.79215173, 97.79597469,\n", - " 119.65100876, 101.63764259, 97.15163665, 97.85164547,\n", - " 102.59660978, 100.41474186, 99.08986824, 99.12279871,\n", - " 108.71402273, 108.06983462, 101.69655043, 109.35850681,\n", - " 83.03413563, 136.09420191, 105.0334133 , 87.58764688,\n", - " 80.16190953, 97.91710315, 94.91868336, 58.58402852,\n", - " 107.03477417, 131.41703134, 96.97620101, 103.23107059,\n", - " 82.78404286, 97.34485263, 98.83332994, 95.49849888,\n", - " 104.89625942, 63.44831261, 102.18117802, 107.78676591,\n", - " 64.15698014, 103.05490082, 97.63792546, 99.4171968 ,\n", - " -1.6634491 , 80.69524075, 80.24410485, 160.64661929,\n", - " 110.79818301, -0.43039592, -0.79433252, 110.65330342,\n", - " 78.21191586, 99.7495935 , 119.34340456, 33.96016965,\n", - " 40.58027346, 135.33843506, 80. , 39.99 ,\n", - " 210.1349534 , 150. , 1.72776122, 178.6389288 ,\n", - " 210.71045032, 99.39022934, 148.68984247, 109.31856743,\n", - " 108.92957328, -0.45720165, 174.40413931, 56.95683898,\n", - " 74.97105394, 176.70685299, 121.21110769, 133.52832978,\n", - " 85.45314044, 75.38220727, 139.99 , 179.13095058,\n", - " 0. , 0. , 62.07790251, 77.60398117,\n", - " 46.194113 , 69.15919574, 37.21478444, 42.31905477,\n", - " 26.77547469, 35.79824645, 58.94158157, 55.23396033,\n", - " 50.82314356, 51.41943488, 64.56803416]), array([ 87.27306051, 134.01647373, 101.74264189, 75.37072563,\n", - " 108.00989671, 108.17181992, 109.11870201, 106.13462173,\n", - " 89.03510713, 56.91659921, 107.04435289, 108.36774978,\n", - " 100.28889312, 100.79053028, 101.07590246, 102.57616035,\n", - " 87.40387483, 89.02229558, 88.22101511, 99.30107799,\n", - " 103.05354099, 102.05767136, 98.80241198, 107.61081778,\n", - " 108.87193762, 107.49517482, 98.66347108, 99.77420509,\n", - " 73.3985255 , 148.95211231, 102.89903073, 102.04901043,\n", - " 106.30318173, 65.7860302 , 101.53513234, 71.92883829,\n", - " 92.01240105, 82.45509266, 48.32954122, 62.82468381,\n", - " 96.70861242, 99.0567209 , 100.59897945, 95.63620425,\n", - " 108.9533505 , 66.09703143, 108.56927793, 76.20202028,\n", - " 108.98478488, 142.12665956, 106.48364715, 105.67654765,\n", - " 102.70910213, 108.79314189, 74.83997587, 107.24839884,\n", - " 107.05796896, 125.68757394, 95.84647918, 72.19821646,\n", - " 96.88599536, 96.39067025, 99.29408498, 99.23300761,\n", - " 83.88133723, 90.31997357, 95.97975505, 93.66167238,\n", - " 95.33643989, 376.54819129, 82.83133139, 90.66784487,\n", - " 102.15814015, 102.69018922, 97.90490716, 98.6198222 ,\n", - " 50.34975609, 103.36910887, 100.21539151, 98.5336028 ,\n", - " 51.49877016, 117.51678287, 105.53171166, 103.80902348,\n", - " 107.06548491, 106.64403214, 96.60371706, 103.84847372,\n", - " 103.92659258, 53.4092029 , 47.89073788, 107.90029251,\n", - " 81.48255396, 79.58230845, 115.754082 , 101.87563672,\n", - " 108.29922306, 108.30892898, 65.59780166, 100.73015782,\n", - " 126.01615241, 131.51905662, 88.00872099, 116.20309983,\n", - " 99.44234978, 98.99233252, 99.5443639 , 106.18887355,\n", - " 106.13186278, 102.68383886, 107.27244305, 102.98577223,\n", - " 144.55759096, 94.00658076, 83.06388107, 147.18703874,\n", - " 110.29619222, 118.14393922, 111.20414346, 148.13763146,\n", - " 117.28878813, 87.6870325 , 89.23361088, 96.69603323,\n", - " 99.93133324, 147.75759797, 95.44493287, 94.97006255,\n", - " 118.72952828, 117.95317479, 103.99875866, 96.54715378,\n", - " 106.63170095, 106.33734976, 104.19978413, 106.36858318,\n", - " 101.40729494, 107.58338166, 107.31079656, 107.3131164 ,\n", - " 95.32774934, 93.21982421, 100.01189559, 108.19232932,\n", - " 103.5701826 , 106.80195699, 106.65104484, 85.61337731,\n", - " 102.84349802, 119.30935328, 109.38604824, 82.235501 ,\n", - " 142.14570876, 147.59030713, 119.85079928, 102.76513014,\n", - " 97.63374642, 98.35186533, 105.07767385, 55.09055527,\n", - " 56.03543572, 107.78519343, 105.46290304, 101.13564332,\n", - " 109.06520847, 109.06493619, 135.73444453, 117.91255521,\n", - " 97.5488733 , 106.52974806, 94.90521266, 100.49651519,\n", - " 98.25011076, 85.1011115 , 73.61864088, 107.93055078,\n", - " 108.66523117, 85.98233227, 85.88977458, 106.08045234,\n", - " 108.87961008, 93.97970197, 102.27511816, 106.40034159,\n", - " 104.36642658, 63.2718672 , 94.40715291, 89.0844418 ,\n", - " 90.04727762, 77.6687646 , 72.13839249, 100.65337962,\n", - " 64.56243908, 106.61805115, 109.88406541, 107.92775229,\n", - " 100.16688728, 104.29571627, 138.31678425, 102.26538018,\n", - " 108.45137501, 145.64283023, 97.98746317, 101.91812234,\n", - " 134.8576322 , 99.40006459, 99.29609476, 94.28203015,\n", - " 104.75700443, 107.11113591, 107.65429026, 120.00284524,\n", - " 116.01768731, 125.00803316, 104.14215415, 87.22745799,\n", - " 108.88599268, 108.88624547, 116.48186245, 115.81727137,\n", - " 108.83092052, 79.86060258, 86.39586014, 116.62227787,\n", - " 97.78885262, 107.66829059, 86.0284176 , 85.4328894 ,\n", - " 96.50910053, 94.92983517, 105.35230919, 109.4280379 ,\n", - " 115.56882865, 113.89042488, 108.00145128, 98.24129267,\n", - " 94.15434493, 97.91227588, 103.61304016, 119.72846822,\n", - " 108.25624636, 106.63072222, 95.03230198, 106.69449643,\n", - " 103.82075503, 115.90635824, 74.13492991, 69.0199429 ,\n", - " 72.3397196 , 97.21343851, 96.2220712 , 147.04597997,\n", - " 115.41864474, 102.34242508, 105.6146726 , 108.73339594,\n", - " 99.05785589, 107.29569681, 99.42084524, 77.85788254,\n", - " 79.37128349, 98.60870866, 90.3232717 , 88.82678864,\n", - " 100.68437316, 66.8151893 , 86.53555612, 97.0891571 ,\n", - " 107.33948978, 132.74711556, 86.52529829, 92.23723411,\n", - " 106.98683777, 110.1100082 , 109.89750525, 97.52588399,\n", - " 99.17269204, 94.13696853, 114.70633935, 111.84762865,\n", - " 81.34938837, 102.82923007, 102.53508339, 104.0362281 ,\n", - " 108.57608356, 86.18160913, 99.35607841, 85.76827204,\n", - " 73.84471938, 72.06506962, 146.08244499, 114.34893337,\n", - " 66.20699379, 68.15025801, 123.51300454, 111.64233601,\n", - " 83.30071374, 134.43018959, 68.58869581, 79.89828951,\n", - " 103.82478282, 108.50091285, 94.80202112, 105.34750444,\n", - " 107.8269791 , 105.63444386, 108.55049875, 105.29545345,\n", - " 125.14921756, 104.79674658, 99.23641175, 106.33214522,\n", - " 78.39101074, 77.97018938, 139.74098547, 139.97389186,\n", - " 104.55566435, 71.21827288, 102.16307132, 92.48300101,\n", - " 109.06337852, 99.58617016, 76.05306194, 75.24866774,\n", - " 96.6087979 , 101.80503027, 98.33926999, 105.54598455,\n", - " 103.05351769, 104.23721726, 104.24499593, 135.63298467,\n", - " 98.31042414, 98.82031543, 89.71354538, 88.02120556,\n", - " 142.17087495, 138.91095478, 107.97750141, 101.46077605,\n", - " 120.36504961, 105.38579798, 141.99340305, 115.83592677,\n", - " 101.3393546 , 101.01900606, 104.70924828, 109.22225186,\n", - " 94.32622668, 70.3595366 , 104.95527953, 105.57494052,\n", - " 93.47607433, 98.45704885, 99.80923969, 102.56579195,\n", - " 144.95382293, 139.55705462, 106.93647371, 96.63227815,\n", - " 101.51578392, 99.79595793, 105.94354541, 104.92514596,\n", - " 107.81370451, 129.01199872, 139.43465238, 107.84351709,\n", - " 108.0100739 , 106.96443366, 106.21609566, 104.33200621,\n", - " 98.96266502, 106.75099946, 96.89931329, 97.87831972,\n", - " 102.85127659, 94.325611 , 83.17740158, 139.3520558 ,\n", - " 101.4359423 , 119.37434066, 105.06995613, 107.31120877,\n", - " 97.17208728, 80.55143993, 45.8524344 , 102.78562272,\n", - " 107.02404496, 120.90709444, 106.73244558, 107.27534559,\n", - " 103.82195418, 64.08375564, 90.02086864, 106.86218434,\n", - " 97.72163139, 84.34496926, 123.57982802, 109.8150684 ,\n", - " 107.19324578, 105.65971042, 65.96733106, 108.01190334,\n", - " 97.0035879 , 104.81000839, 105.63196644, 108.75877151,\n", - " 105.35235455, 98.65070401, 98.61738365, 105.51948102,\n", - " 68.26898885, 144.90531583, 90.89843249, 85.98696054,\n", - " 109.78091881, 108.62466714, 82.18337119, 86.43373396,\n", - " 95.62041776, 105.00458761, 103.39330917, 99.44658431,\n", - " 99.46010712, 104.00230479, 96.83048443, 103.56311056,\n", - " 102.73017613, 123.60981578, 106.21654092, 78.36015989,\n", - " 106.01990773, 91.95416704, 75.99529017, 106.9942675 ,\n", - " 95.02688821, 81.9885268 , 108.46672091, 73.61512618,\n", - " 122.3234221 , 124.28074075, 98.0034487 , 99.22360286,\n", - " 98.35998524, 106.67118322, 97.86610317, 106.96963896,\n", - " 106.96779613, 106.38790869, 95.97686007, 115.97537131,\n", - " 56.28290368, 57.61450037, 85.86396495, 107.3985015 ,\n", - " 96.28325328, 60.01361263, 68.75564226, 110.4165256 ,\n", - " 107.56187414, 104.05167004, 95.12164286, 48.11305551,\n", - " 105.21658355, 95.86029301, 108.59672849, 96.01978704,\n", - " 103.36481733, 103.6618129 , 98.88437104, 107.12878077,\n", - " 95.42328816, 84.7292224 , 105.93013231, 99.90063016,\n", - " 108.65245651, 140.16090731, 101.68334652, 109.46992077,\n", - " 76.54227323, 63.60484716, 107.95042016, 107.99655678,\n", - " 106.10451115, 106.59089472, 105.74685955, 135.61021106,\n", - " 96.48281435, 106.98527695, 107.67340705, 120.02737946,\n", - " 109.21793032, 107.3742629 , 91.99151784, 72.36240178,\n", - " 72.61786691, 101.52189394, 96.92811281, 109.15535594,\n", - " 106.98627242, 52.77485166, 53.03140861, 77.30795639,\n", - " 108.53096767, 106.87254409, 85.36528586, 105.34359339,\n", - " 108.09136876, 106.37762135, 92.18485469, 85.65469565,\n", - " 101.47192732, 107.40377449, 107.7968432 , 107.06831307,\n", - " 106.85051425, 100.83526346, 105.78087038, 108.39623727,\n", - " 93.53051033, 115.2125289 , 92.65976781, 103.20317749,\n", - " 104.36160539, 108.73618313, 103.41925299, 106.50739506,\n", - " 109.15608246, 99.83512913, 138.48111024, 120.67196554,\n", - " 145.94135566, 125.05776409, 97.3355159 , 96.37472516,\n", - " 95.33812215, 106.20680953, 107.23797111, 105.98004298,\n", - " 136.50621672, 107.31120768, 108.00822199, 85.9529768 ,\n", - " 132.43091174, 96.54897783, 98.05127879, 104.77804011,\n", - " 104.25839069, 73.43065892, 120.69488858, 108.8021074 ,\n", - " 113.22090722, 95.49965071, 95.86686163, 96.21907594,\n", - " 97.38649905, 117.68364678, 143.09293756, 106.20847563,\n", - " 103.69716715, 105.78736962, 56.55196476, 105.06319196,\n", - " 105.45912778, 98.09784323, 94.77471533, 92.47773085,\n", - " 74.28167575, 98.66079152, 88.05421664, 93.72447183,\n", - " 107.30572573, 106.49467155, 104.98027199, 99.96157388,\n", - " 100.71473334, 106.79132764, 107.38962826, 79.69319347,\n", - " 106.73379816, 100.77712736, 109.12583966, 93.48965506,\n", - " 116.60981882, 99.34030059, 94.67470514, 105.3375754 ,\n", - " 137.14172403, 95.66795208, 98.04026706, 109.83450416,\n", - " 100.172861 , 104.28693646, 107.31163756, 108.21839855,\n", - " 125.56690898, 99.80080505, 105.28601837, 97.97387874,\n", - " 99.79373871, 97.16157182, 99.90481226, 99.18453633,\n", - " 96.01307203, 107.32767803, 95.55546264, 103.68955918,\n", - " 107.82026366, 97.51692553, 102.87084292, 97.09098696,\n", - " 97.96005648, 121.97806834, 98.04184989, 105.42028613,\n", - " 106.47072911, 97.10371333, 76.83913889, 100.73234333,\n", - " 104.0085335 , 101.6908983 , 116.20014631, 124.9343305 ,\n", - " 108.0106043 , 85.63719758, 100.59623413, 107.62948372,\n", - " 108.34722981, 135.2229097 , 86.76742057, 148.15700891,\n", - " 114.73909726, 80.84001231, 79.0943766 , 145.54402435,\n", - " 100.3725898 , 99.56797404, 109.7683526 , 102.17514052,\n", - " 72.37034872, 71.97418787, 109.65855661, 105.27204508,\n", - " 99.27742409, 107.0983904 , 105.27239649, 138.88559355,\n", - " 107.58705109, 145.71379327, 88.45100257, 108.00064041,\n", - " 108.00675684, 107.23270935, 97.75761671, 109.0629967 ,\n", - " 107.328475 , 98.42770309, 102.39264929, 105.0933714 ,\n", - " 109.18499128, 97.45145419, 95.31500745, 101.92376643,\n", - " 92.51277487, 95.29976047, 83.37870923, 99.54547276,\n", - " 99.55196136, 99.06162917, 107.80019758, 108.44386909,\n", - " 76.82336981, 81.75414806, 117.76974261, 71.91461816,\n", - " 92.34250842, 112.81007005, 99.43820914, 98.46970267,\n", - " 109.11957008, 109.11952139, 109.06501358, 96.87131015,\n", - " 95.07786967, 107.63533343, 107.03811604, 77.87389344,\n", - " 72.42751767, 107.46851068, 106.88461158, 94.55996353,\n", - " 80.7535276 , 106.24875625, 103.4768482 , 95.178778 ,\n", - " 120.15828422, 99.00391607, 102.69375822, 93.22362173,\n", - " 109.23390463, 77.60313304, 76.07427949, 106.86000154,\n", - " 82.87860165, 102.73290998, 100.38020592, 76.85845863,\n", - " 105.07294583, 89.48203242, 113.97830487, 104.50543346,\n", - " 95.65178052, 98.27797124, 127.54399969, 55.39858778,\n", - " 72.93582471, 107.2524151 , 75.16143009, 84.84708499,\n", - " 71.68462455, 96.57733583, 74.486351 , 102.81615456,\n", - " 125.41344149, 86.7811092 , 79.32415511, 80.71194694,\n", - " 98.12653343, 106.29172314, 96.57944419, 82.86013623,\n", - " 107.35702018, 75.37107254, 100.16649385, 107.03239758,\n", - " 107.18560958, 106.15292568, 98.4628359 , 86.158324 ,\n", - " 108.01099086, 101.4718663 , 103.69029495, 55.76776146,\n", - " 113.66965969, 109.11712871, 95.95737119, 96.20712805,\n", - " 80.05312221, 106.14910695, 106.90781185, 99.93467042,\n", - " 83.99503189, 106.85160509, 147.43365388, 98.52728535,\n", - " 80.03917091, 95.72097845, 107.30515325, 101.47021144,\n", - " 78.95732249, 83.59066425, 93.82546509, 90.28509376,\n", - " 100.21122548, 95.39254022, 102.82486362, 99.01911179,\n", - " 100.17935494, 95.24056327, 101.76324931, 98.8129632 ,\n", - " 103.08327532, 96.64488645, 74.94826215, 95.72466835,\n", - " 108.55028185, 53.89794575, 76.74315976, 97.54181994,\n", - " 96.21111479, 96.34365639, 77.88168031, 105.37333185,\n", - " 78.57074674, 93.73988088, 97.65933897, 100.47432845,\n", - " 107.96310786, 79.68744786, 98.42332545, 74.49432333,\n", - " 89.59985652, 93.40843828, 88.85070475, 104.3935782 ,\n", - " 68.79181356, 72.08329782, 95.17174649, 64.11609682,\n", - " 104.2384253 , 110.29625228, 104.97065729, 104.25177667,\n", - " 106.96779403, 109.06314587, 75.95499504, 109.26993006,\n", - " 93.47009081, 128.44259957, 105.69699514, 98.2078199 ,\n", - " 95.01464274, 100.07491488, 97.05396248, 94.77025484,\n", - " 93.75121283, 100.47487098, 91.99081362, 147.46181686,\n", - " 147.61240013, 73.67037933, 100.12312348, 134.75830651,\n", - " 116.99201626, 97.77326536, 108.01060424, 101.14097799,\n", - " 60.38721146, 146.85511979, 98.38691977, 74.92643367,\n", - " 101.20884776, 69.93845867, 99.54503038, 95.57354332,\n", - " 103.48183671, 109.24217808, 131.77474602, 108.88683821,\n", - " 93.73770597, 97.13115741, 95.52025218, 105.03115036,\n", - " 100.69329282, 94.18942254, 130.05237242, 97.40798375,\n", - " 119.65100876, 101.07771212, 96.64882357, 97.34547071,\n", - " 101.23730647, 100.4872257 , 97.61729147, 97.65022194,\n", - " 108.64238663, 105.96841928, 101.29993716, 108.74400328,\n", - " 82.81369688, 136.03123274, 103.67411 , 87.01601556,\n", - " 79.59027821, 96.43656964, 94.69946009, 59.13046063,\n", - " 106.61560523, 131.35406216, 95.60999809, 102.74831338,\n", - " 82.14650914, 96.70731892, 98.19579622, 95.56894106,\n", - " 104.4948725 , 63.4898838 , 101.58836487, 107.33458662,\n", - " 64.03768652, 102.4949847 , 96.99918411, 98.77845545,\n", - " -1.6634491 , 78.01775255, 79.0792833 , 159.96360351,\n", - " 109.12583966, -0.43041909, -0.79435569, 110.45325588,\n", - " 75.73736309, 91.60142572, 102.32296041, 33.07593097,\n", - " 40.62184464, 135.59865575, 80. , 39.99 ,\n", - " 205.99943635, 150. , 1.72776122, 172.6565765 ,\n", - " 206.59979662, 92.41133817, 148.62687311, 108.79364767,\n", - " 108.4065936 , -0.45723172, 174.33437899, 45.89854396,\n", - " 65.19235949, 176.82307791, 121.09181407, 133.78855895,\n", - " 85.23391728, 75.26291364, 139.99 , 173.11040801,\n", - " 0. , 0. , 62.01493356, 77.68546324,\n", - " 46.194113 , 69.18332898, 37.77612304, 42.31905477,\n", - " 26.77547469, 35.67895282, 59.01419495, 55.63163651,\n", - " 50.82314356, 55.11191181, 57.88501463]), array([102.6179182 , 133.97464921, 102.91430201, 76.53601108,\n", - " 108.46844384, 108.6320447 , 109.57857639, 106.55946375,\n", - " 89.57522217, 57.45960926, 107.58376036, 108.90304653,\n", - " 100.54899381, 101.21458394, 101.52966166, 103.02991953,\n", - " 88.46797257, 89.76623658, 88.68138193, 99.76146415,\n", - " 103.4801928 , 102.48318056, 99.2561034 , 107.61489366,\n", - " 109.3930744 , 108.01120885, 99.11713871, 99.77722763,\n", - " 73.38364709, 148.6099672 , 102.01901718, 102.07714767,\n", - " 106.33131628, 66.30280831, 102.76348905, 72.4456177 ,\n", - " 92.50712157, 82.94971238, 48.84631523, 63.34146014,\n", - " 97.26757237, 99.61564875, 101.84970811, 97.65237773,\n", - " 109.40054049, 65.96483447, 108.60027941, 76.10977365,\n", - " 109.43401337, 142.07418205, 106.90597217, 106.10712575,\n", - " 103.15956493, 109.24082224, 75.39804984, 107.80900548,\n", - " 107.61844612, 123.8053132 , 95.89238931, 70.31484085,\n", - " 96.89627947, 95.66865214, 99.07510975, 99.0114381 ,\n", - " 84.39812564, 90.83623696, 95.95762124, 93.62537781,\n", - " 95.85329411, 377.71546185, 83.34813368, 91.1846128 ,\n", - " 102.29937378, 102.83142285, 97.93288928, 98.65026109,\n", - " 50.38013663, 103.43256926, 100.27623658, 98.31395458,\n", - " 51.82077222, 115.21599552, 103.23088632, 103.71662815,\n", - " 107.11134275, 106.71324475, 97.12058004, 103.92447308,\n", - " 104.0012576 , 53.92597368, 48.40751064, 107.90444499,\n", - " 81.99935459, 80.09909739, 113.46983518, 99.59136953,\n", - " 108.74690325, 108.75660917, 65.60243782, 100.73488635,\n", - " 121.89148294, 128.6406232 , 87.00684191, 113.32429039,\n", - " 99.99694753, 99.54733138, 99.32426744, 106.26801331,\n", - " 106.4544429 , 102.99551278, 107.36152522, 103.07472904,\n", - " 142.03205603, 98.36546077, 87.425317 , 144.4731582 ,\n", - " 110.38528319, 117.86085733, 110.9209961 , 145.80809652,\n", - " 114.57474057, 95.23835843, 96.61106153, 102.47770858,\n", - " 105.7217715 , 147.44028307, 93.90597952, 93.43082137,\n", - " 123.17056601, 122.04446937, 104.55983987, 97.10619234,\n", - " 106.71296664, 106.41817621, 103.96603914, 106.14267963,\n", - " 115.6702936 , 108.14844681, 107.77240404, 107.77606704,\n", - " 95.17614598, 93.06321266, 100.03318063, 108.01011064,\n", - " 103.64403991, 107.32686174, 107.17429195, 99.87637323,\n", - " 102.84903664, 118.82985717, 109.39093548, 83.41885288,\n", - " 139.52249979, 146.74903507, 117.82674627, 102.85317999,\n", - " 97.74063594, 98.46175961, 105.59362788, 55.84490745,\n", - " 56.84676248, 108.24980993, 105.48608727, 101.14718102,\n", - " 108.87794029, 108.87738492, 135.2458817 , 117.4516542 ,\n", - " 97.65494272, 107.04570132, 96.14811491, 101.73941673,\n", - " 98.35351791, 85.61788142, 74.13538936, 108.3850259 ,\n", - " 109.11650229, 86.49911946, 86.40655728, 106.61672416,\n", - " 109.39555238, 95.24246967, 103.53350318, 106.43267239,\n", - " 104.39703992, 63.98467534, 95.9446098 , 90.62112184,\n", - " 91.69150364, 79.31299207, 72.58851786, 101.12561791,\n", - " 65.01715315, 106.75663642, 110.01960617, 108.35250957,\n", - " 100.21553069, 104.34435962, 138.28642957, 102.71610114,\n", - " 108.90235756, 144.80402551, 98.48033445, 103.15383099,\n", - " 134.60132298, 99.95163033, 99.84829759, 96.24869127,\n", - " 106.64419422, 107.56092796, 108.10408605, 123.76800306,\n", - " 119.97050284, 124.56266859, 105.50818603, 88.28637305,\n", - " 109.42570273, 109.42576582, 120.13160797, 119.49879419,\n", - " 109.1607334 , 80.1875219 , 86.91263463, 114.09459563,\n", - " 99.32618461, 107.81574393, 86.54518825, 85.94965946,\n", - " 97.02599818, 96.19259554, 105.36560145, 109.44172025,\n", - " 112.71105087, 111.03627933, 109.24127561, 98.66899954,\n", - " 94.58294788, 98.33144469, 104.15836832, 117.73075887,\n", - " 108.7112263 , 107.00285259, 95.40418719, 107.11719549,\n", - " 104.21642879, 113.0423069 , 75.3001903 , 69.44794745,\n", - " 73.50497469, 97.53416655, 96.59435004, 146.70383247,\n", - " 111.717733 , 103.63186426, 106.07630912, 109.19391057,\n", - " 99.43285264, 107.81152293, 99.79590154, 77.83706449,\n", - " 79.35043499, 97.72513392, 89.43933204, 89.38636846,\n", - " 101.23086581, 67.9778329 , 86.53798265, 97.09173563,\n", - " 107.79406565, 132.40536546, 86.98006653, 92.69200434,\n", - " 107.01925501, 109.88564625, 109.67313017, 98.51881171,\n", - " 99.72508907, 95.40539384, 119.14512618, 116.27707554,\n", - " 82.99361609, 103.99004323, 103.69576904, 104.10818726,\n", - " 108.64182371, 86.55360829, 99.91049959, 86.1400783 ,\n", - " 74.36150229, 72.58185253, 145.69446377, 113.92529761,\n", - " 66.66176111, 68.60502571, 122.6632957 , 110.76737286,\n", - " 84.29357778, 130.64249889, 69.58051361, 93.70937093,\n", - " 103.87044058, 108.54657036, 95.51762591, 105.71963499,\n", - " 108.1991118 , 105.65794068, 108.56875851, 105.75389517,\n", - " 121.03280458, 105.25502781, 99.69670477, 106.78215193,\n", - " 78.84574437, 78.42492258, 139.42005062, 139.65291992,\n", - " 105.01286918, 72.21113657, 102.18748937, 92.93777034,\n", - " 108.87420772, 100.14116902, 83.83526827, 82.47218383,\n", - " 97.16777637, 101.5949457 , 98.89310514, 105.3447718 ,\n", - " 103.51172015, 104.69688075, 104.70389057, 132.78559573,\n", - " 98.76525386, 99.27433279, 90.2303138 , 88.53797397,\n", - " 139.54535954, 136.28531708, 108.44181861, 102.01457951,\n", - " 118.48859228, 103.50787065, 139.13291242, 112.97325096,\n", - " 101.76484741, 101.44367949, 105.15451997, 113.3115941 ,\n", - " 94.35659368, 70.38990311, 105.81356846, 105.9720142 ,\n", - " 97.42857061, 98.87524479, 100.21327137, 103.01633233,\n", - " 142.15291774, 136.81388667, 107.3700952 , 97.08708873,\n", - " 101.94177985, 100.21904373, 106.36630503, 105.38333917,\n", - " 108.26736567, 128.2673759 , 138.68490642, 109.09562761,\n", - " 109.25245548, 107.43370066, 106.68512485, 104.79022528,\n", - " 99.38436395, 107.26796122, 98.54354221, 97.90871752,\n", - " 103.36770416, 94.84239659, 83.08343946, 139.25763869,\n", - " 101.46785198, 123.81512748, 106.2550422 , 107.73324265,\n", - " 101.59073892, 84.93342469, 45.88280004, 107.1351566 ,\n", - " 108.91672504, 120.85129911, 106.83273295, 107.37715954,\n", - " 103.89942442, 65.24811137, 90.0929738 , 107.37814646,\n", - " 98.23759061, 82.7942707 , 122.02415006, 109.86072589,\n", - " 107.73277359, 106.19923823, 66.50608352, 109.25317001,\n", - " 96.98898496, 104.82251303, 106.02722104, 109.21816205,\n", - " 107.13396176, 99.0821847 , 99.04886107, 109.27814285,\n", - " 68.78573709, 144.06557079, 91.89131722, 85.96729303,\n", - " 109.84301967, 108.68763358, 80.9628946 , 85.36282143,\n", - " 96.17956471, 105.46485606, 103.42246944, 99.87811203,\n", - " 99.89159886, 104.54537347, 97.2841759 , 104.01301545,\n", - " 103.17491654, 119.4927095 , 106.24744745, 78.39106572,\n", - " 106.48818214, 96.31304538, 83.7693758 , 107.4533854 ,\n", - " 96.56464622, 82.44218478, 108.50811484, 74.88426405,\n", - " 122.05376635, 124.0130387 , 97.84606348, 99.75799236,\n", - " 98.8933398 , 107.9152647 , 97.83932451, 108.21371909,\n", - " 106.99585056, 106.41596099, 96.39288985, 115.58738683,\n", - " 57.90637905, 59.23682778, 86.59596035, 107.83212299,\n", - " 96.25642438, 61.17735832, 68.70748497, 110.19266023,\n", - " 108.81409094, 104.12152137, 95.18286089, 48.17427318,\n", - " 105.67868976, 96.33229101, 109.05717951, 96.5113963 ,\n", - " 103.49255205, 104.11839549, 99.33931041, 107.66830108,\n", - " 99.78499567, 89.10006983, 106.34984073, 100.30334757,\n", - " 109.1111089 , 139.0660835 , 102.60836218, 110.39493635,\n", - " 78.43132155, 65.49268119, 108.41473736, 108.07239206,\n", - " 106.5573035 , 107.04369155, 110.73040193, 135.56534037,\n", - " 96.85944854, 111.85460844, 112.54242982, 119.5480281 ,\n", - " 109.28349437, 107.43850047, 93.62987496, 76.73482045,\n", - " 76.98559145, 101.97702075, 97.48191773, 109.60925323,\n", - " 107.01860999, 53.29162193, 53.54817926, 77.8247394 ,\n", - " 108.98594508, 107.32997236, 85.36883202, 105.40715617,\n", - " 108.54964666, 106.44118502, 92.24852735, 86.17146563,\n", - " 101.99913234, 107.93351696, 108.32653341, 107.55750038,\n", - " 107.3729916 , 100.61085484, 105.72342791, 108.85428875,\n", - " 94.09075233, 115.05873569, 91.93773294, 103.67251324,\n", - " 104.85328924, 108.70944318, 103.9587396 , 106.90192456,\n", - " 109.22023415, 100.25937096, 138.34986328, 120.38886368,\n", - " 143.12490671, 122.23311098, 97.39538038, 96.43489145,\n", - " 96.50508057, 106.6673355 , 107.69946043, 106.44069058,\n", - " 132.73478902, 107.77259956, 109.25173486, 85.23094162,\n", - " 131.65313458, 97.10060872, 98.46930521, 104.80205614,\n", - " 105.557095 , 77.71016837, 119.65632991, 109.98814824,\n", - " 115.69463002, 102.4897321 , 97.83351589, 96.67267878,\n", - " 97.84010464, 120.31733194, 141.3532674 , 106.63073986,\n", - " 104.22203823, 106.97267956, 57.11850301, 106.94635844,\n", - " 105.92249209, 98.56647688, 96.44920884, 96.82994943,\n", - " 78.62392614, 99.11453631, 87.82868517, 92.96803727,\n", - " 107.32788095, 106.52378994, 106.22435211, 100.03462065,\n", - " 100.78732689, 106.83698509, 107.43528569, 78.73242611,\n", - " 106.77764428, 100.82096409, 109.45557818, 93.51176851,\n", - " 116.2234158 , 98.93957143, 96.21138525, 105.36792419,\n", - " 136.88910281, 96.14386718, 98.50239949, 111.15973617,\n", - " 101.44249405, 104.73433047, 107.65807191, 108.66601906,\n", - " 125.19019101, 100.15893127, 105.38618975, 98.52767989,\n", - " 100.34753984, 97.69645105, 100.27688645, 99.55660914,\n", - " 97.54974158, 107.75439293, 97.09213089, 103.76147757,\n", - " 107.88511123, 97.57814632, 103.38718207, 97.64478842,\n", - " 98.51385764, 125.57586269, 98.06408638, 105.44417612,\n", - " 106.90288606, 97.125816 , 76.86124151, 100.75444857,\n", - " 104.50727252, 102.18963716, 115.41984905, 123.06174999,\n", - " 109.25266103, 84.56628403, 101.02373951, 107.97050813,\n", - " 108.41079344, 132.89306086, 86.79776929, 146.00254944,\n", - " 110.96740898, 81.29478054, 79.54914483, 142.71415534,\n", - " 100.79982602, 100.12794063, 108.88793394, 101.29465647,\n", - " 76.73931676, 76.34208024, 109.6911409 , 106.43285783,\n", - " 99.74037299, 107.61461261, 105.07865958, 135.18516083,\n", - " 107.40406505, 142.99808424, 89.82739385, 109.24879984,\n", - " 109.25116599, 107.33452305, 98.2198122 , 108.87342894,\n", - " 107.79099558, 98.98153466, 102.84319481, 105.77908852,\n", - " 109.62697867, 97.47362021, 96.48158503, 103.08490961,\n", - " 93.07305559, 95.86004118, 83.35777828, 100.03704037,\n", - " 100.0244452 , 99.51519074, 108.26232014, 108.48569594,\n", - " 82.60017048, 82.30445386, 115.76897715, 76.27215831,\n", - " 94.81594883, 116.78788458, 99.96058783, 102.44729136,\n", - " 109.44279009, 109.44269076, 108.87754277, 97.38729986,\n", - " 95.61382024, 108.88710242, 108.28988503, 78.32754499,\n", - " 72.88115734, 107.985493 , 107.35225584, 94.58195653,\n", - " 88.30484146, 106.69703725, 103.55234378, 95.20088057,\n", - " 119.09557263, 99.0341704 , 102.79665042, 93.78203889,\n", - " 109.33571827, 77.60534788, 77.13836312, 105.98066601,\n", - " 84.84524985, 103.17694338, 100.81574351, 77.18165792,\n", - " 105.17291733, 90.04044907, 111.12398613, 104.5540768 ,\n", - " 96.12356203, 98.31976701, 124.71412439, 55.46692941,\n", - " 73.45260285, 109.08824043, 79.41784062, 83.96313355,\n", - " 72.98188168, 96.60773297, 74.51674024, 102.84423226,\n", - " 125.25212102, 86.5793154 , 79.77887781, 79.82792325,\n", - " 98.61403692, 104.41517314, 96.55818806, 86.50701302,\n", - " 107.87322479, 75.82579523, 100.1780091 , 106.87775817,\n", - " 107.2874232 , 106.2547393 , 98.91649952, 86.71665667,\n", - " 109.2528124 , 102.02566745, 103.76030623, 56.28450716,\n", - " 113.28546208, 106.85499058, 96.51102055, 96.76060006,\n", - " 79.84478787, 106.5945505 , 105.38563197, 100.30674856,\n", - " 81.80707814, 106.95290565, 144.80935876, 98.98119852,\n", - " 80.55594106, 96.97918265, 107.75082739, 101.07540958,\n", - " 77.73680063, 84.30128992, 93.10342011, 90.82384527,\n", - " 100.76362251, 93.15235785, 102.93475693, 99.47288591,\n", - " 104.7674747 , 95.22738782, 100.88772474, 99.26790257,\n", - " 102.75854649, 97.19835368, 74.92576597, 96.24065807,\n", - " 109.08985425, 54.43669667, 82.52414367, 98.09775653,\n", - " 96.69889172, 96.89712372, 78.39845437, 105.43817938,\n", - " 78.5591041 , 94.30012286, 98.11318006, 100.50471411,\n", - " 108.07300067, 80.25012793, 98.97926202, 73.27379194,\n", - " 88.71589519, 93.4386771 , 87.31165222, 104.53481185,\n", - " 68.76121634, 72.7527168 , 96.4345068 , 65.79058994,\n", - " 104.69732408, 110.38536088, 105.42237423, 104.65580704,\n", - " 106.99584627, 108.8737332 , 83.32860875, 109.33550695,\n", - " 94.73285119, 125.62406183, 105.7203389 , 99.9950298 ,\n", - " 96.18108241, 100.0527792 , 98.22123303, 95.9375254 ,\n", - " 95.28789292, 101.47037348, 92.98631609, 146.62210408,\n", - " 145.30117121, 72.44914719, 100.14440829, 134.62645297,\n", - " 114.26706161, 99.30993359, 109.25266091, 101.20899202,\n", - " 60.84197874, 146.01532688, 98.39088034, 73.40350685,\n", - " 101.64095805, 70.93094186, 100.5688316 , 95.9945771 ,\n", - " 104.01934587, 109.27177796, 129.14917999, 108.94878979,\n", - " 95.27439862, 97.10352149, 96.05565784, 105.88943928,\n", - " 100.7233947 , 94.20669133, 128.14663447, 97.83265712,\n", - " 116.77067887, 101.10755527, 97.1019757 , 97.79678409,\n", - " 102.39799204, 100.55038863, 98.8613713 , 98.89430142,\n", - " 108.70745952, 107.7416168 , 101.72917093, 109.28361341,\n", - " 83.182451 , 135.76258735, 104.83471689, 87.5043356 ,\n", - " 80.07786155, 97.68729829, 93.81532814, 58.97499437,\n", - " 107.05167679, 131.08541637, 96.77657567, 103.05998675,\n", - " 82.69976569, 97.26114025, 98.7492625 , 95.62921573,\n", - " 104.92553981, 63.44725439, 102.10741045, 107.78026392,\n", - " 63.90548956, 102.46408664, 97.55109321, 99.33325978,\n", - " -1.6634491 , 79.401104 , 77.73997943, 160.24785541,\n", - " 109.45557818, -0.43039926, -0.7943361 , 110.58856914,\n", - " 76.97053518, 96.18221402, 116.51630631, 32.50875639,\n", - " 40.62405948, 133.6929178 , 80. , 39.99 ,\n", - " 198.99227195, 150. , 1.72776122, 174.52742018,\n", - " 199.6448541 , 95.96822489, 148.30317845, 109.24249922,\n", - " 108.84848168, -0.45721136, 173.96711288, 53.27384632,\n", - " 73.9615761 , 175.23096219, 120.95961711, 130.00086825,\n", - " 84.22672865, 74.99559366, 139.99 , 174.98712377,\n", - " 0. , 0. , 61.94739688, 77.7690161 ,\n", - " 46.194113 , 69.14576287, 38.37205627, 42.31905477,\n", - " 26.77547469, 35.55100581, 59.08283575, 55.79062421,\n", - " 50.82314356, 53.0715769 , 61.33318063]), array([ 99.28946321, 133.92928703, 102.62040802, 76.24211708,\n", - " 108.50510482, 108.66369755, 109.61030153, 106.62244373,\n", - " 89.59207589, 57.47573838, 107.60485158, 108.92666734,\n", - " 100.2883658 , 101.27509768, 101.56662923, 103.0668871 ,\n", - " 88.1048109 , 89.58810467, 88.71302272, 99.79310494,\n", - " 103.54260181, 102.5463136 , 99.29284906, 107.65895326,\n", - " 109.42603843, 108.04583765, 99.15380903, 99.79835809,\n", - " 73.40477755, 148.63706803, 101.98570294, 102.09829737,\n", - " 106.35246706, 66.33717414, 102.60818963, 72.47998337,\n", - " 92.54148896, 82.98407976, 48.88068165, 63.37582621,\n", - " 97.206655 , 99.55473138, 101.68896262, 97.3081084 ,\n", - " 109.43333353, 65.81850355, 108.64251342, 76.03253301,\n", - " 109.4665396 , 142.02881987, 106.96804532, 106.16411231,\n", - " 103.19355631, 109.27380933, 75.33713247, 107.7480881 ,\n", - " 107.55752875, 124.09299263, 95.9331958 , 70.60252028,\n", - " 96.9160114 , 95.64012289, 99.11974109, 99.05606945,\n", - " 84.43249031, 90.87060164, 96.00168084, 93.66943741,\n", - " 95.88765291, 377.57670503, 83.38249745, 91.21898018,\n", - " 102.33605314, 102.86810221, 97.95401974, 98.69249511,\n", - " 50.42237064, 103.47397517, 100.31770817, 98.35858592,\n", - " 52.18452816, 115.50367383, 103.51856463, 103.63938751,\n", - " 107.13305589, 106.73562393, 97.15493803, 103.96480816,\n", - " 104.04169184, 53.96034077, 48.44187728, 107.94850458,\n", - " 82.03371847, 80.13346206, 113.75751355, 99.8790479 ,\n", - " 108.77989034, 108.78959626, 65.64631139, 100.77875992,\n", - " 122.17915474, 128.6406232 , 86.97352769, 113.32429039,\n", - " 100.00882716, 99.55910034, 99.36889879, 106.30812493,\n", - " 106.48511829, 103.02653147, 107.40094616, 103.11414998,\n", - " 142.03205603, 96.93190289, 85.99175912, 144.4731582 ,\n", - " 110.42470414, 117.78361666, 110.84375543, 145.80809652,\n", - " 114.57474057, 93.3630409 , 94.7552082 , 100.81452191,\n", - " 104.05858484, 147.4673839 , 94.22463936, 93.74948122,\n", - " 121.71100315, 120.66069441, 104.4989225 , 97.04527497,\n", - " 106.75292809, 106.45816813, 104.01067049, 106.18731098,\n", - " 112.63165874, 108.08752944, 107.8085909 , 107.81194573,\n", - " 95.21628898, 93.10335567, 100.07781198, 108.05474199,\n", - " 103.68448804, 107.34884835, 107.19594512, 96.83773837,\n", - " 102.89309624, 118.85970686, 109.43499508, 83.27592965,\n", - " 139.52249979, 146.70367289, 118.19050221, 102.89260093,\n", - " 97.77899214, 98.49995573, 105.62825667, 55.80780659,\n", - " 56.79531385, 108.28523261, 105.53071862, 101.19181236,\n", - " 108.92257164, 108.92201627, 135.27617637, 117.48390061,\n", - " 97.69334393, 107.08033011, 95.98976315, 101.58106497,\n", - " 98.39207004, 85.65224875, 74.16975669, 108.41767754,\n", - " 109.14969645, 86.53348729, 86.44092498, 106.57926564,\n", - " 109.43018117, 95.07883671, 103.37089434, 106.45390843,\n", - " 104.41820629, 63.95804052, 95.59739454, 90.27390657,\n", - " 91.43054721, 79.05203564, 72.62732686, 101.15793251,\n", - " 65.05596214, 106.79340651, 110.0564807 , 108.41548955,\n", - " 100.25731354, 104.38614247, 138.23446487, 102.75019441,\n", - " 108.93557877, 144.75866333, 98.50769122, 102.99671524,\n", - " 134.52408231, 99.96532038, 99.86158453, 95.91300142,\n", - " 106.3216615 , 107.59405461, 108.13723121, 122.48747927,\n", - " 118.62467475, 124.52935434, 104.98873073, 87.76691776,\n", - " 109.44671801, 109.44682842, 118.91526165, 118.27475732,\n", - " 108.91686905, 79.94365755, 86.94700209, 114.09459562,\n", - " 98.97896935, 107.60979582, 86.5795556 , 85.98402678,\n", - " 97.06035217, 96.02896258, 105.40966105, 109.48559382,\n", - " 112.71105087, 111.03627933, 109.08312037, 98.72643643,\n", - " 94.33323903, 98.39464112, 104.17601327, 118.0945148 ,\n", - " 108.7437951 , 107.09540139, 95.49673598, 107.18049136,\n", - " 104.29581892, 113.04230689, 75.0062963 , 69.19823859,\n", - " 73.2110807 , 97.65579246, 96.68559581, 146.7309333 ,\n", - " 112.00540543, 103.33420939, 106.11288223, 109.23009743,\n", - " 99.52327595, 107.84621228, 99.88632485, 77.85819495,\n", - " 79.37156544, 97.69181968, 89.40601779, 89.39767177,\n", - " 101.24566716, 67.68393891, 86.58204225, 97.13579522,\n", - " 107.83880102, 132.4324663 , 87.01887553, 92.73081333,\n", - " 107.04050732, 109.9302776 , 109.71776152, 98.42167577,\n", - " 99.73826116, 95.24046149, 117.68556332, 114.81751268,\n", - " 82.73265967, 103.85288246, 103.55864026, 104.14883152,\n", - " 108.68246797, 86.64615709, 99.92248252, 86.23262709,\n", - " 74.39586752, 72.61621776, 145.71711696, 113.95003561,\n", - " 66.7005701 , 68.64383471, 122.62998146, 110.73405861,\n", - " 84.19644184, 130.93017069, 69.48337766, 90.76735278,\n", - " 103.91230219, 108.58843197, 95.35704219, 105.81218379,\n", - " 108.2916606 , 105.70257203, 108.61338986, 105.7910139 ,\n", - " 121.32047638, 105.2921752 , 99.72834586, 106.8152887 ,\n", - " 78.88455336, 78.46373158, 139.34280993, 139.57567923,\n", - " 105.05056663, 72.11400062, 102.20861983, 92.97657933,\n", - " 108.91883907, 100.15293798, 82.75311904, 81.46076431,\n", - " 97.106859 , 101.63957705, 98.90546324, 105.38447655,\n", - " 103.54978346, 104.73444409, 104.74160023, 132.78559573,\n", - " 98.80406285, 99.31182488, 90.26468117, 88.57234134,\n", - " 139.54535954, 136.28531708, 108.47738947, 102.02693761,\n", - " 118.85234821, 103.87162658, 139.13291242, 112.97325096,\n", - " 101.82449204, 101.50381881, 105.20159806, 111.92781914,\n", - " 94.39882769, 70.43213712, 105.75643656, 106.05071103,\n", - " 96.08274252, 98.9392271 , 100.28584179, 103.05035468,\n", - " 142.15291774, 136.81388667, 107.42506782, 97.12589773,\n", - " 102.00112105, 100.28014259, 106.42802316, 105.42050743,\n", - " 108.30351118, 128.23406166, 138.65159218, 108.93450662,\n", - " 109.09367585, 107.46830939, 106.71979034, 104.82738453,\n", - " 99.44627533, 107.30230788, 98.28258579, 97.95095154,\n", - " 103.40217656, 94.87676508, 83.08343946, 139.25763869,\n", - " 101.48897875, 122.35556462, 105.9606263 , 107.79560662,\n", - " 100.15718105, 83.49986681, 45.92503406, 105.71959541,\n", - " 108.22357587, 120.85129911, 106.87146408, 107.41578914,\n", - " 103.69347631, 64.95369547, 89.88702569, 107.41277526,\n", - " 98.27221941, 83.11293055, 122.3428099 , 109.90258749,\n", - " 107.75383433, 106.22029897, 66.52293724, 109.09466215,\n", - " 97.01011542, 105.18626897, 106.10686185, 109.2499887 ,\n", - " 106.81388734, 99.13710847, 99.10378741, 107.99761906,\n", - " 68.82010442, 144.02020861, 91.79418128, 85.98842349,\n", - " 109.88511917, 108.72925459, 80.90037399, 85.31065081,\n", - " 96.19083436, 105.49661575, 103.44363342, 99.93299878,\n", - " 99.94651395, 104.56432448, 97.32100877, 104.05664884,\n", - " 103.22190602, 119.7803813 , 106.28968146, 78.43329974,\n", - " 106.52304003, 94.8794875 , 81.8694816 , 107.49032749,\n", - " 96.21743096, 82.47900864, 108.55274618, 74.51914551,\n", - " 121.97652569, 123.93579803, 97.88620648, 99.77629491,\n", - " 98.91190735, 107.75612044, 97.86045496, 108.05457482,\n", - " 107.01700061, 106.43711104, 96.45803171, 115.61004002,\n", - " 57.57293843, 58.90338716, 86.41782845, 107.88709561,\n", - " 96.27755484, 60.88346432, 68.72861542, 110.23729158,\n", - " 108.65294453, 104.16234797, 95.22746348, 48.21887578,\n", - " 105.71039336, 96.36320182, 109.09340872, 96.53896553,\n", - " 103.52982525, 104.15640629, 99.37822333, 107.6893637 ,\n", - " 98.3514378 , 87.66651196, 106.41345148, 100.37671705,\n", - " 109.14735485, 139.38474334, 102.33414694, 110.1207211 ,\n", - " 77.73817237, 64.79953202, 108.45030822, 108.11272714,\n", - " 106.58882083, 107.07520888, 109.18123584, 135.51997818,\n", - " 96.94812808, 110.32696497, 111.01478635, 119.57787194,\n", - " 109.32813285, 107.48313895, 93.29643435, 75.30126257,\n", - " 75.55203357, 102.00826652, 97.49427584, 109.64077056,\n", - " 107.0398589 , 53.32598918, 53.58254639, 77.85910463,\n", - " 109.02239565, 107.36698694, 85.4127056 , 105.45046638,\n", - " 108.58644209, 106.48449522, 92.29183756, 86.20583296,\n", - " 102.01931983, 107.96047666, 108.35363593, 107.58718399,\n", - " 107.3944893 , 100.65548618, 105.72342791, 108.89119164,\n", - " 94.10189065, 115.42249162, 91.9092037 , 103.70711809,\n", - " 104.88233954, 108.75350277, 103.97608342, 106.98201436,\n", - " 109.26485574, 100.31974034, 138.3403567 , 120.31162301,\n", - " 143.12490671, 122.23311098, 97.43997025, 96.47948511,\n", - " 96.36640411, 106.70405125, 107.73567479, 106.47738742,\n", - " 133.022461 , 107.80882004, 109.09268015, 85.20241238,\n", - " 131.61982033, 97.11246776, 98.53327433, 104.8231866 ,\n", - " 105.06947998, 76.29460717, 119.65632991, 109.69373233,\n", - " 114.71821095, 100.679465 , 97.49782604, 96.70948035,\n", - " 97.87691007, 119.30075194, 141.6409471 , 106.69282231,\n", - " 104.24286378, 106.67826366, 57.12874672, 106.62497391,\n", - " 105.95417007, 98.59806451, 96.11923268, 95.39639155,\n", - " 77.19036827, 99.15146114, 87.87331652, 92.93472303,\n", - " 107.34901141, 106.5449563 , 106.06520785, 100.07506878,\n", - " 100.82777502, 106.87884669, 107.4771473 , 78.69911186,\n", - " 106.81955581, 100.86287562, 109.21171383, 93.53289897,\n", - " 116.14617511, 98.86233074, 95.86416999, 105.41015821,\n", - " 136.81186214, 96.17395315, 98.53403997, 110.65904807,\n", - " 100.94180595, 104.76731756, 107.41420754, 108.69900615,\n", - " 125.11295032, 100.25938637, 105.42476106, 98.54003799,\n", - " 100.35989794, 97.71462983, 100.36943524, 99.64915793,\n", - " 97.20252631, 107.81554889, 96.74491562, 103.80211645,\n", - " 107.92974258, 97.62274894, 103.42169202, 97.65714652,\n", - " 98.52621574, 124.3728637 , 98.08521684, 105.46530657,\n", - " 106.95884343, 97.14694646, 76.88237196, 100.77557902,\n", - " 104.5345686 , 102.21693324, 115.3865348 , 123.42550592,\n", - " 109.09396019, 84.5141134 , 101.08211616, 107.73922279,\n", - " 108.45410365, 132.89306086, 86.8400033 , 146.00254944,\n", - " 111.25508096, 81.33358954, 79.58795383, 142.71415534,\n", - " 100.85836691, 100.06702326, 108.85461969, 101.26134223,\n", - " 75.30575888, 74.90852236, 109.73337491, 106.29569706,\n", - " 99.77204034, 107.64917778, 105.11836433, 135.47283326,\n", - " 107.4486964 , 142.99808424, 89.44585812, 109.08861907,\n", - " 109.09189365, 107.37315265, 98.25144696, 108.91806028,\n", - " 107.82745633, 98.99389276, 102.87722522, 105.76819648,\n", - " 109.65969186, 97.49475067, 96.34300668, 102.94766733,\n", - " 93.084177 , 95.8711626 , 83.37890873, 100.06394478,\n", - " 100.05525616, 99.55185765, 108.29903278, 108.53032728,\n", - " 80.93698381, 82.3163129 , 116.13273308, 74.83860044,\n", - " 93.83952976, 115.50912084, 99.99366422, 101.16852762,\n", - " 109.19892574, 109.19882641, 108.92217412, 97.4091763 ,\n", - " 95.63172638, 108.72606104, 108.12884365, 78.36436697,\n", - " 72.91797931, 108.01983734, 107.3872744 , 94.60308699,\n", - " 86.42952393, 106.73002054, 103.59270302, 95.22201103,\n", - " 119.09557263, 99.05529601, 102.83522098, 93.72112152,\n", - " 109.37434788, 77.64940748, 76.77520144, 105.94735177,\n", - " 84.50956001, 103.22405726, 100.86811444, 76.93779357,\n", - " 105.21148864, 89.97953169, 111.12398613, 104.59585965,\n", - " 96.15451633, 98.36439836, 124.71412439, 55.51151911,\n", - " 73.48696808, 108.77872792, 77.98428275, 83.9298193 ,\n", - " 72.49426665, 96.64996698, 74.55897426, 102.86538231,\n", - " 125.25212102, 86.61902015, 79.8176868 , 79.794609 ,\n", - " 98.64172012, 104.77892908, 96.57931852, 85.2906667 ,\n", - " 107.90779866, 75.86460422, 100.19913955, 107.2415141 ,\n", - " 107.3260528 , 106.2933689 , 98.95314144, 86.6557393 ,\n", - " 109.09416898, 102.03802555, 103.80110814, 56.31887449,\n", - " 113.20822139, 107.14266901, 96.52337865, 96.77295816,\n", - " 79.88449261, 106.64165134, 105.70429182, 100.39929736,\n", - " 82.0947568 , 106.99153525, 144.80935876, 99.01848128,\n", - " 80.59030837, 96.81657381, 107.79795438, 100.99816889,\n", - " 77.67428003, 84.1407062 , 93.07489087, 90.84104282,\n", - " 100.7767946 , 93.44003636, 102.97295305, 99.50988647,\n", - " 103.29844001, 95.24851828, 100.85441049, 99.30681549,\n", - " 102.68130579, 97.21071178, 74.94689643, 96.2625345 ,\n", - " 109.11090384, 54.45389422, 80.860957 , 98.10941201,\n", - " 96.72651662, 96.90948182, 78.4328196 , 105.48281073,\n", - " 78.92286004, 94.31126118, 98.15031704, 100.52584109,\n", - " 108.11119679, 80.26091274, 98.9909175 , 73.21127133,\n", - " 88.68258095, 93.45980271, 87.63031206, 104.57149121,\n", - " 68.7823468 , 72.73701677, 96.27087383, 65.46061377,\n", - " 104.73503038, 110.42478158, 105.45389156, 104.72837746,\n", - " 107.01699632, 108.91836455, 81.47275542, 109.38014548,\n", - " 94.56921823, 125.98781777, 105.76497024, 99.69778785,\n", - " 96.04254189, 100.0968388 , 98.08247621, 95.79876858,\n", - " 94.94067766, 101.37687666, 92.89281927, 146.5767419 ,\n", - " 145.30117121, 72.38662658, 100.18903964, 134.61694639,\n", - " 114.26706161, 98.96271833, 109.09396006, 101.25365278,\n", - " 60.88078773, 145.9699647 , 98.43493994, 73.72216669,\n", - " 101.696362 , 70.83380591, 100.46786194, 96.05639773,\n", - " 104.0372127 , 109.31387746, 129.14917999, 108.99010678,\n", - " 94.92718336, 97.14758109, 96.07370383, 105.83230739,\n", - " 100.74452031, 94.22781695, 128.43431385, 97.89208266,\n", - " 116.77067887, 101.12868303, 97.1394678 , 97.83358952,\n", - " 102.26086326, 100.59502711, 98.70222703, 98.73515716,\n", - " 108.74810379, 107.44791905, 101.7864934 , 109.30465358,\n", - " 83.2749998 , 135.68534668, 104.69758811, 87.53870299,\n", - " 80.11222894, 97.5265528 , 93.7820139 , 59.3387503 ,\n", - " 107.10500287, 131.0081757 , 96.63799732, 103.09100544,\n", - " 82.7121238 , 97.27349836, 98.7616206 , 95.67381832,\n", - " 104.98243259, 63.49131399, 102.12928967, 107.82739123,\n", - " 63.75915864, 102.4852171 , 97.56295224, 99.34511882,\n", - " -1.6634491 , 79.01259369, 77.66885202, 160.09168996,\n", - " 109.21171383, -0.43039783, -0.79433466, 110.62538191,\n", - " 76.61406776, 94.79926937, 113.49636627, 32.47581593,\n", - " 40.66811908, 133.98059718, 80. , 39.99 ,\n", - " 198.53753115, 150. , 1.72776122, 173.65041597,\n", - " 199.1938958 , 94.7787749 , 148.22593775, 109.27499833,\n", - " 108.88118756, -0.45720584, 173.98883349, 51.4428533 ,\n", - " 72.61451302, 175.47803109, 120.81328619, 130.28854005,\n", - " 84.19341443, 74.84926275, 139.99 , 174.10423533,\n", - " 0. , 0. , 61.87015624, 77.81042768,\n", - " 46.194113 , 69.10371752, 38.73922938, 42.31905477,\n", - " 26.77547469, 35.4046749 , 59.12750212, 56.00594585,\n", - " 50.82314356, 54.9282002 , 57.88737554]), array([102.25107238, 133.88193878, 104.38543559, 78.00714466,\n", - " 109.30782585, 109.47771225, 110.42402424, 107.33843077,\n", - " 90.45668023, 58.34222216, 108.47376083, 109.79182911,\n", - " 132.59034555, 102.00147382, 102.36583882, 103.86609669,\n", - " 89.83202138, 90.88731591, 89.52713352, 100.60721574,\n", - " 104.25969493, 103.26115603, 100.09258981, 107.74465041,\n", - " 110.28093647, 108.89295401, 99.9537299 , 100.61401799,\n", - " 74.22043745, 149.31165773, 102.18607188, 102.91384198,\n", - " 107.16800525, 67.18518388, 103.82788357, 73.32799431,\n", - " 93.38948562, 83.83207642, 49.72868702, 64.22383419,\n", - " 98.23392015, 100.58199653, 102.91890911, 98.86271596,\n", - " 110.23847635, 65.63190629, 108.80832509, 75.93403791,\n", - " 110.27404758, 141.98147162, 107.68962404, 106.90459783,\n", - " 103.9979648 , 110.07883316, 76.36439761, 108.77535325,\n", - " 108.58479389, 105.48732785, 96.01342442, 51.9968555 ,\n", - " 97.74008405, 96.75449784, 99.17777272, 99.11410107,\n", - " 85.28050833, 91.71861965, 96.08737799, 93.75513456,\n", - " 96.73570916, 378.77451329, 84.23052164, 92.06697684,\n", - " 102.74904312, 103.28109219, 98.76967965, 98.85830677,\n", - " 50.58818231, 103.67581319, 100.51669068, 98.41661755,\n", - " 51.76136495, 96.89801002, 84.91290081, 103.54089241,\n", - " 107.94520897, 107.54376603, 98.00299954, 104.21396219,\n", - " 104.28646712, 54.8083407 , 49.28988091, 108.03420173,\n", - " 82.88174191, 80.98148008, 95.15184968, 81.27338403,\n", - " 109.58491417, 109.59462009, 65.74020081, 100.87264934,\n", - " 103.57349649, 128.6406232 , 87.17389649, 113.32429039,\n", - " 100.88634468, 100.4367588 , 99.42693041, 106.5671445 ,\n", - " 107.24331172, 103.76499745, 107.69045393, 103.40365775,\n", - " 142.03205603, 101.10251191, 90.16236814, 144.4731582 ,\n", - " 110.7142119 , 117.68512183, 110.74526061, 145.80809652,\n", - " 114.57474057, 97.84616941, 99.23552991, 105.27885143,\n", - " 108.52291435, 148.1419736 , 83.16173841, 82.68658026,\n", - " 127.14017782, 126.91147204, 105.52618764, 98.07254011,\n", - " 107.01857704, 106.7224724 , 104.06870211, 106.2453426 ,\n", - " 115.46718394, 109.11479459, 108.6140434 , 108.61865364,\n", - " 95.34559933, 93.23266601, 100.1358436 , 108.11277361,\n", - " 103.92865816, 108.20541447, 108.0510022 , 99.67326357,\n", - " 102.97879339, 119.4331814 , 109.52069223, 84.48193882,\n", - " 139.52249979, 146.65632464, 117.767339 , 103.18210869,\n", - " 98.11546291, 98.84348227, 106.47537304, 56.78669257,\n", - " 57.80361925, 109.09317061, 105.58875024, 101.24984399,\n", - " 108.98060326, 108.98004789, 135.83167666, 117.95819833,\n", - " 98.02783034, 107.92744648, 97.2261409 , 102.81744272,\n", - " 98.71990193, 86.50024597, 75.01775391, 109.22708088,\n", - " 109.95650783, 87.38148187, 87.28892024, 107.55182749,\n", - " 110.27729754, 96.32384686, 104.61245762, 107.26893373,\n", - " 105.23365112, 64.91546102, 103.25928772, 97.93579976,\n", - " 92.88232476, 80.50381318, 73.42213836, 101.97716048,\n", - " 65.85077365, 107.20117792, 110.45824546, 109.1314766 ,\n", - " 100.44276181, 104.57159073, 138.29797473, 103.55451852,\n", - " 109.74217568, 144.71131508, 99.3412485 , 104.22008682,\n", - " 134.42558749, 100.84064495, 100.73739903, 97.47651694,\n", - " 107.90000377, 108.40011413, 108.94325611, 129.85676912,\n", - " 125.2866271 , 124.72972333, 107.07653313, 89.85472016,\n", - " 110.31579232, 110.31580024, 126.93891636, 126.25547427,\n", - " 110.38182203, 81.40861054, 87.79499861, 114.09459563,\n", - " 106.64086253, 108.84705227, 87.42755272, 86.83202406,\n", - " 97.90844031, 97.27397273, 105.4953582 , 109.57948324,\n", - " 112.71105087, 111.03627933, 110.30941493, 99.46189989,\n", - " 95.83325743, 99.11159173, 105.04653008, 117.67135159,\n", - " 109.55361269, 107.7143221 , 96.11565669, 107.89638561,\n", - " 104.95786257, 113.0423069 , 76.77132388, 70.698257 ,\n", - " 74.97610828, 98.17912978, 97.30972878, 147.405523 ,\n", - " 93.39974664, 105.12174493, 106.91676488, 110.03554993,\n", - " 100.14961455, 108.69302887, 100.51266345, 78.67385485,\n", - " 80.18722535, 97.89218862, 89.60638673, 90.27681422,\n", - " 102.11730628, 69.44896649, 86.6677394 , 97.22149238,\n", - " 108.61079484, 133.10705599, 87.81368703, 93.52562484,\n", - " 107.85543476, 109.98830922, 109.77579314, 99.52360207,\n", - " 100.6142147 , 96.4897883 , 123.11473799, 120.24668735,\n", - " 84.18443721, 105.04753836, 104.75323316, 104.38433058,\n", - " 108.91796703, 87.2650778 , 100.79987507, 86.8515478 ,\n", - " 75.24388165, 73.46423189, 146.58308327, 114.73151042,\n", - " 67.4953816 , 69.43864621, 122.8303504 , 110.93442755,\n", - " 85.29836814, 112.32451245, 70.58530397, 93.73971501,\n", - " 104.09432482, 108.7704546 , 96.61559521, 106.4311045 ,\n", - " 108.91058131, 105.76060365, 108.67142148, 106.59283918,\n", - " 102.71481813, 106.09382454, 100.54240991, 107.62146097,\n", - " 79.67936486, 79.25854308, 139.24431528, 139.47718458,\n", - " 105.85014416, 73.21592693, 103.02427973, 93.77139084,\n", - " 108.97687069, 101.03059645, 84.76090775, 83.42494134,\n", - " 98.13412414, 101.69760867, 99.78241605, 105.53700489,\n", - " 104.34847326, 105.53488289, 105.54161858, 132.78559573,\n", - " 99.59887436, 100.10978182, 91.11267796, 89.42033813,\n", - " 139.54535954, 136.28531708, 109.2848076 , 102.90389041,\n", - " 118.429185 , 103.44846337, 139.13291242, 112.97325096,\n", - " 102.55399298, 102.23154143, 105.97361219, 118.17859677,\n", - " 94.56463936, 70.59794879, 106.79313913, 106.71492963,\n", - " 102.74469487, 99.65360025, 100.97196878, 103.85473812,\n", - " 142.15291774, 136.81388667, 108.17356355, 97.92070923,\n", - " 102.73171226, 101.00441387, 107.15076456, 106.22207839,\n", - " 109.10470461, 128.4344306 , 138.85196112, 110.17100969,\n", - " 110.32213556, 108.28250376, 107.53378956, 105.62897338,\n", - " 100.16773544, 108.15044476, 99.73436333, 98.1167632 ,\n", - " 104.24974166, 95.72475157, 83.08343946, 139.25763869,\n", - " 102.3046609 , 127.78473929, 107.72877935, 108.51604657,\n", - " 104.32779006, 87.67047583, 46.09084572, 109.84931835,\n", - " 110.70795657, 120.85129911, 107.19140293, 107.74020834,\n", - " 104.93073276, 66.72184852, 91.12428214, 108.25989162,\n", - " 99.11933577, 72.05002959, 111.27990894, 110.08461013,\n", - " 108.62281018, 107.08927482, 67.38754158, 110.3221805 ,\n", - " 97.82577532, 104.76310576, 106.76806598, 110.06330081,\n", - " 108.73579058, 99.88068989, 99.84735482, 115.3669089 ,\n", - " 69.66810164, 143.97286036, 92.89610758, 86.8040834 ,\n", - " 110.05612769, 108.92153266, 82.21920801, 86.5672303 ,\n", - " 97.0699673 , 106.31046924, 104.25909227, 100.67677803,\n", - " 100.69014218, 105.43402397, 98.12053953, 104.83783602,\n", - " 103.99250497, 101.17472306, 106.45549313, 78.5991114 ,\n", - " 107.33656161, 99.05009652, 86.35615936, 108.2925376 ,\n", - " 103.87932414, 83.27855976, 108.61077781, 88.68073083,\n", - " 121.87803086, 123.8373032 , 98.01551683, 100.63717833,\n", - " 99.77218817, 108.9831727 , 98.67611486, 109.28162708,\n", - " 107.8325431 , 107.25265353, 97.16843723, 116.47600633,\n", - " 62.33344319, 63.66389192, 87.71703969, 108.63559134,\n", - " 97.09321473, 62.6484919 , 69.54427533, 110.2953232 ,\n", - " 109.88953459, 104.38978986, 95.286993 , 48.2784053 ,\n", - " 106.52525198, 97.18361531, 109.89817099, 97.37173753,\n", - " 103.91402266, 104.95480146, 100.1727863 , 108.55833547,\n", - " 102.52204682, 91.83712098, 107.12980441, 101.0602147 ,\n", - " 109.95113154, 128.32184238, 103.98108601, 111.76766018,\n", - " 80.22255307, 67.28391272, 109.25772635, 108.36188116,\n", - " 107.40006926, 107.88645731, 113.63830588, 135.47262993,\n", - " 97.58077499, 114.71042336, 115.39824474, 120.15158234,\n", - " 109.38589426, 107.54090036, 98.05693911, 79.47187159,\n", - " 79.72264259, 102.82047734, 98.37122864, 110.45201899,\n", - " 107.85480682, 54.17398766, 54.43054599, 78.70711875,\n", - " 109.82363674, 108.16831615, 85.50659501, 105.56758474,\n", - " 109.38870861, 106.60161358, 92.40895592, 87.05383015,\n", - " 102.87605333, 108.82049162, 109.21363331, 108.41638926,\n", - " 108.24884268, 100.71351781, 105.72342791, 109.693061 ,\n", - " 94.98141651, 114.99932842, 93.02357864, 104.52130716,\n", - " 105.71332244, 108.83919993, 104.84304828, 107.64170169,\n", - " 109.32329387, 101.04643052, 138.39753586, 120.21312818,\n", - " 143.12490671, 122.23311098, 97.50013429, 96.53947018,\n", - " 97.56405443, 107.50730267, 108.54101509, 107.28072581,\n", - " 114.4168026 , 108.61409626, 110.3220913 , 86.31678732,\n", - " 131.82018928, 97.99001869, 99.24774085, 105.6388465 ,\n", - " 107.08398075, 80.42433011, 119.65632991, 111.46188538,\n", - " 129.66181563, 105.15324432, 99.06134156, 97.50908162,\n", - " 98.6765027 , 133.22425888, 123.03528206, 107.41436044,\n", - " 105.09835837, 108.44641671, 58.01049228, 108.20822948,\n", - " 106.76968679, 99.41624222, 100.14448327, 99.56700057,\n", - " 81.36097729, 99.95077303, 87.93134814, 93.13509197,\n", - " 108.16467131, 107.36040088, 107.29226011, 100.3192389 ,\n", - " 101.07194514, 107.06086933, 107.65916993, 78.89948081,\n", - " 106.99940606, 101.04272588, 110.67666681, 94.34855887,\n", - " 116.04768046, 98.7638361 , 103.52606317, 105.57596987,\n", - " 136.71336731, 96.99701414, 99.34901589, 112.70367415,\n", - " 102.98643204, 105.57234139, 108.87916061, 109.50402998,\n", - " 125.01445568, 100.85233186, 105.75180503, 99.4169908 ,\n", - " 101.23685075, 98.57581611, 100.98835595, 100.26807864,\n", - " 104.86441949, 108.5389824 , 104.4068088 , 104.03785568,\n", - " 107.9877742 , 97.6822776 , 104.26914143, 98.53409933,\n", - " 99.40316854, 132.47064438, 98.90087674, 106.28096648,\n", - " 107.70346975, 97.96260636, 77.69803186, 101.59123892,\n", - " 105.37078563, 103.05315027, 115.58690374, 123.00234271,\n", - " 110.3221479 , 85.7706929 , 101.8157426 , 109.12859792,\n", - " 108.57122201, 132.89306086, 87.00581497, 146.00254944,\n", - " 92.64942256, 82.12840104, 80.38276533, 142.71415534,\n", - " 101.59142181, 101.09428841, 109.05498863, 101.46171117,\n", - " 79.4763679 , 79.07913138, 109.89918658, 107.49035296,\n", - " 100.58740412, 108.49645247, 105.27089266, 116.86717447,\n", - " 107.50672802, 142.99808424, 104.28955331, 110.32191653,\n", - " 110.32205682, 107.69757199, 99.06645192, 108.97609191,\n", - " 108.63175188, 99.87084557, 103.68159501, 106.71219975,\n", - " 110.46317391, 98.31041057, 97.54046419, 104.14248416,\n", - " 93.96370606, 96.75069166, 84.19456864, 100.89721731,\n", - " 100.87599021, 100.35176036, 109.10258454, 108.58835891,\n", - " 85.40131333, 83.19386383, 115.70956987, 79.00920946,\n", - " 108.78313444, 123.2237937 , 100.84952917, 108.88320048,\n", - " 110.66387872, 110.66377939, 108.98020574, 98.25842862,\n", - " 96.49359063, 109.96229662, 109.36507923, 79.16392233,\n", - " 73.71753468, 108.86798972, 108.20039706, 95.41874689,\n", - " 90.91265244, 107.53543291, 103.84079261, 96.03767093,\n", - " 119.09557263, 99.87098517, 103.16224285, 94.74838666,\n", - " 109.69876707, 77.73510463, 78.50241193, 106.14772071,\n", - " 86.07307553, 103.99380921, 101.62030996, 78.40274655,\n", - " 105.53853261, 91.00679684, 111.12398613, 104.78130792,\n", - " 96.97478619, 98.42242998, 124.71412439, 55.57162448,\n", - " 74.3349822 , 110.33514975, 82.15489177, 84.13018824,\n", - " 74.50876743, 96.81577865, 74.72478592, 103.6809248 ,\n", - " 125.25212102, 86.77154849, 80.61249831, 79.99497794,\n", - " 99.47248364, 104.35576587, 97.39497842, 93.31432141,\n", - " 108.75504526, 76.65941573, 101.01479945, 106.8183509 ,\n", - " 107.65047214, 106.61778824, 99.75313047, 87.68300444,\n", - " 110.32215756, 102.91497836, 104.02964309, 57.16687171,\n", - " 113.10972675, 88.53700509, 97.40033146, 97.64991097,\n", - " 80.03702095, 107.41402812, 94.64139086, 101.01821807,\n", - " 63.48909269, 107.31595459, 144.80935876, 99.81693807,\n", - " 81.43830613, 98.05813709, 108.57074767, 100.89967424,\n", - " 78.99311405, 85.39925922, 94.18926582, 91.70475273,\n", - " 101.65274813, 74.83437237, 103.31647959, 100.30901705,\n", - " 107.54931206, 96.06417818, 101.05477943, 100.10137846,\n", - " 102.58281122, 98.08766459, 75.76255633, 97.11178683,\n", - " 109.97990387, 55.31760412, 85.32528652, 98.98739989,\n", - " 97.55746527, 97.78643462, 79.28083372, 105.54084235,\n", - " 78.49969683, 95.19078704, 98.94912192, 101.34152198,\n", - " 108.45472333, 81.14129172, 99.86890538, 74.53010535,\n", - " 88.88294989, 94.27549187, 76.5674111 , 104.98448119,\n", - " 69.5980067 , 73.67200525, 97.51588398, 69.48586436,\n", - " 105.53505938, 110.7143002 , 106.26513999, 105.41450445,\n", - " 107.83253881, 108.97639617, 85.95307712, 109.43790458,\n", - " 95.81422838, 125.56465456, 105.82300187, 101.22642114,\n", - " 97.23992395, 100.18253595, 99.28028447, 96.99657684,\n", - " 102.60257084, 102.48539526, 94.00133787, 146.52939365,\n", - " 145.30117121, 73.7054606 , 100.24707126, 134.67412555,\n", - " 114.26706161, 106.62461151, 110.32214777, 101.3105578 ,\n", - " 61.67559924, 145.92261645, 98.52063709, 62.65926573,\n", - " 102.43984027, 71.93573222, 101.59112751, 96.77760937,\n", - " 104.90263 , 109.48488598, 129.14917999, 109.19590716,\n", - " 102.58907654, 97.23327824, 96.93521497, 106.86900996,\n", - " 101.56020948, 95.04350611, 109.82864912, 98.62108193,\n", - " 116.77067887, 101.9443592 , 97.93742474, 98.63318215,\n", - " 103.45545616, 100.65278852, 99.92927929, 99.96220942,\n", - " 108.98360285, 108.96852044, 102.52378778, 110.17367403,\n", - " 83.89392051, 135.58685185, 105.89218101, 88.38669964,\n", - " 80.9602256 , 98.75649929, 93.98238284, 58.91558709,\n", - " 107.85996729, 130.90968087, 97.83545483, 103.82947142,\n", - " 83.5890766 , 98.15045116, 99.63857341, 95.73334784,\n", - " 105.72342461, 63.57701114, 102.98055887, 108.60018979,\n", - " 63.57256138, 103.300877 , 98.44050317, 100.22266975,\n", - " -1.6634491 , 94.59125939, 79.03945321, 160.98112989,\n", - " 110.67666681, -0.43036277, -0.79429963, 111.02647755,\n", - " 90.4156085 , 102.00730813, 116.3237585 , 127.38935899,\n", - " 40.75381623, 115.37493245, 80. , 39.99 ,\n", - " 202.26784037, 135.07339061, 1.72776122, 114.23553639,\n", - " 202.90145453, 102.76916163, 148.12744318, 110.08184023,\n", - " 109.68449213, -0.45714597, 174.89248252, 56.26459903,\n", - " 74.73754954, 145.70484478, 120.62668893, 111.68288181,\n", - " 84.39378323, 74.66266549, 139.99 , 115.30942711,\n", - " 0. , 0. , 61.77166111, 77.86263277,\n", - " 46.194113 , 69.03988257, 39.20572797, 42.31905477,\n", - " 26.77547469, 35.21807763, 59.18419069, 56.21959521,\n", - " 50.82314356, 52.99141913, 60.86846037]), array([101.53508486, 133.83554232, 102.7680316 , 76.36809431,\n", - " 108.71577457, 108.85225225, 109.79863935, 106.87032805,\n", - " 89.84988723, 57.73513648, 107.87369624, 109.19461548,\n", - " 124.99559611, 101.51655361, 101.76827842, 103.2685362 ,\n", - " 86.88413628, 88.99260895, 88.90167875, 99.98182663,\n", - " 103.79165043, 102.79505762, 99.49347243, 107.59560403,\n", - " 109.69509421, 108.31354273, 99.35408209, 98.74965441,\n", - " 72.29528788, 148.20580645, 99.15724261, 101.13570121,\n", - " 105.38989891, 66.60464864, 103.18135859, 72.74746141,\n", - " 92.73407024, 83.17631875, 49.14814513, 63.64329585,\n", - " 97.01217649, 99.36014386, 102.27143862, 98.18897576,\n", - " 109.6028039 , 65.58709858, 108.54041134, 75.83409688,\n", - " 109.64229486, 141.898901 , 107.21183234, 106.40679199,\n", - " 103.37569531, 109.44527028, 75.13964544, 107.55920119,\n", - " 107.36820219, 102.33355301, 95.9696094 , 48.83929494,\n", - " 95.90115598, 92.44192386, 98.1942609 , 98.1217799 ,\n", - " 84.69999383, 91.13632237, 95.84933191, 93.46900304,\n", - " 96.15534117, 378.13289016, 83.65004337, 91.48642749,\n", - " 102.21387361, 102.74592268, 96.99007086, 98.58848267,\n", - " 50.31816003, 103.3991973 , 100.24077025, 97.43082045,\n", - " 51.02517563, 92.3230496 , 80.33781137, 103.44044646,\n", - " 106.22245667, 105.89082718, 97.42265041, 103.86884198,\n", - " 103.94730702, 54.22779639, 48.7093376 , 107.88541544,\n", - " 82.30125934, 80.40096736, 90.63305574, 76.75452092,\n", - " 108.95135073, 108.96105665, 65.57378806, 100.70655027,\n", - " 92.80520056, 118.8663731 , 83.73124744, 103.54876343,\n", - " 100.27826953, 99.82867531, 98.43961126, 106.20889754,\n", - " 106.35799031, 102.89853933, 107.29215422, 103.00493234,\n", - " 133.45613767, 94.82321926, 83.89175459, 135.25767768,\n", - " 110.31594205, 116.93716636, 109.99708284, 137.89773218,\n", - " 105.35869292, 92.78831133, 94.1189906 , 99.56841074,\n", - " 102.84222975, 147.12043785, 79.47234905, 78.99621354,\n", - " 120.67523793, 120.23799776, 104.3116471 , 96.85106338,\n", - " 106.65154414, 106.35720375, 103.03503688, 105.23830442,\n", - " 114.74370289, 107.91378227, 108.02341036, 108.02807836,\n", - " 94.53052346, 92.40058394, 99.96817974, 107.25407544,\n", - " 103.58882218, 107.60202366, 107.44665892, 98.94977321,\n", - " 102.83471411, 117.94503044, 109.37440105, 83.8391354 ,\n", - " 130.61491129, 143.89525706, 109.06468821, 102.78030352,\n", - " 97.66114407, 98.3814931 , 105.8956901 , 56.16580885,\n", - " 57.17930511, 108.50225782, 105.42753541, 101.04908122,\n", - " 108.10475858, 108.10324192, 134.3213569 , 116.5238091 ,\n", - " 97.575722 , 107.34776091, 96.57896678, 102.17026621,\n", - " 98.27541036, 85.91970256, 74.4371377 , 108.60145711,\n", - " 109.33070267, 86.80100258, 86.70842432, 106.49448911,\n", - " 109.69757475, 95.67504938, 103.96389574, 105.50511294,\n", - " 103.46499496, 64.2970893 , 102.25096995, 96.92484402,\n", - " 92.21393118, 79.8354245 , 72.82240534, 101.37149952,\n", - " 65.26662236, 106.67149997, 109.93489642, 108.66308617,\n", - " 100.17062746, 104.29945618, 138.14645995, 102.93334674,\n", - " 109.11611867, 141.95862577, 98.7334866 , 103.57320607,\n", - " 133.76854361, 100.23384355, 100.13025937, 96.80031127,\n", - " 107.22019722, 107.77130371, 108.31456635, 123.24933609,\n", - " 118.59371399, 123.17682572, 103.28351013, 85.01882552,\n", - " 109.71570605, 109.71572668, 120.59583509, 119.90939969,\n", - " 107.63761595, 78.65457885, 87.21447216, 105.51138567,\n", - " 105.63212064, 106.2365622 , 86.84701199, 86.25148098,\n", - " 97.32815694, 96.62515038, 105.37760829, 109.44378849,\n", - " 103.00694079, 101.34450315, 109.66222495, 98.9599637 ,\n", - " 93.24344542, 98.63443155, 104.44307969, 109.05815553,\n", - " 108.92803159, 107.34644822, 95.7469503 , 107.42714901,\n", - " 104.54545102, 103.31689378, 75.1321884 , 68.106413 ,\n", - " 73.33695484, 97.91169177, 96.93415605, 146.29966358,\n", - " 84.07039882, 103.67337208, 106.32888956, 109.44120595,\n", - " 99.77197389, 108.11387543, 100.13522498, 76.72853615,\n", - " 78.24180323, 94.85126667, 86.56422561, 89.66822602,\n", - " 101.50993573, 67.80094523, 86.5130922 , 97.06736135,\n", - " 108.09535819, 132.00254605, 87.22971973, 92.94166426,\n", - " 106.09193692, 108.98650584, 108.77394517, 98.88846972,\n", - " 100.00699647, 95.84075119, 116.64215476, 113.74238861,\n", - " 83.5160494 , 104.40640938, 104.11211353, 104.05805344,\n", - " 108.5705721 , 86.89675835, 100.19186717, 86.48257331,\n", - " 74.66335524, 72.88370548, 145.30941438, 113.37034242,\n", - " 66.91141114, 68.85467707, 119.90442636, 107.92274783,\n", - " 84.66301956, 102.70048992, 69.94640266, 92.67076725,\n", - " 103.82340667, 108.49953561, 94.82316147, 106.06323123,\n", - " 108.54271534, 105.6004503 , 108.49348471, 106.00358655,\n", - " 91.97455864, 105.50471322, 99.91689728, 106.9930935 ,\n", - " 79.09527999, 78.67445678, 138.36782433, 138.60056766,\n", - " 105.26305597, 72.58057713, 101.23256855, 93.18742721,\n", - " 108.09456534, 100.42251296, 84.01484936, 82.68510377,\n", - " 96.91244336, 100.74428674, 99.17433003, 104.64396981,\n", - " 103.76531005, 104.95057197, 104.95718934, 123.11676291,\n", - " 99.01511581, 99.51607637, 90.53213009, 88.83979022,\n", - " 130.62993907, 127.36948136, 108.6944136 , 102.2956968 ,\n", - " 110.22772246, 95.24200918, 129.41959037, 103.25250875,\n", - " 102.06621037, 101.74538729, 105.43241592, 111.49849296,\n", - " 94.29457112, 70.32787888, 106.17523871, 106.30043197,\n", - " 96.05069769, 99.18033807, 100.53013079, 103.23280125,\n", - " 132.64192903, 127.49895538, 107.66807872, 97.33688568,\n", - " 102.24293235, 100.52142399, 106.67153839, 105.63301967,\n", - " 108.50163021, 125.86534545, 136.2654794 , 109.52285208,\n", - " 109.67471925, 107.68654551, 106.93786655, 105.0399103 ,\n", - " 99.68745162, 107.57028379, 99.0659796 , 97.84679958,\n", - " 103.66972814, 95.14427786, 82.76437379, 138.93702801,\n", - " 100.53843273, 121.31894737, 106.1289377 , 108.03974273,\n", - " 98.251463 , 81.4696396 , 45.82077286, 103.79500591,\n", - " 106.35208664, 120.66183583, 106.7560325 , 107.29909044,\n", - " 102.08260216, 65.05161318, 88.25793343, 107.68023614,\n", - " 98.53967044, 68.32075723, 107.5337281 , 109.81369105,\n", - " 108.02273614, 106.48920078, 66.77612167, 109.67486121,\n", - " 95.90156118, 102.97596104, 106.3565443 , 109.4380338 ,\n", - " 107.97325754, 99.36812347, 99.33480137, 108.73741749,\n", - " 69.08748458, 141.21697803, 92.26082926, 84.86267159,\n", - " 109.83579048, 108.66220945, 76.2090982 , 81.06830302,\n", - " 96.46141849, 105.68587034, 102.48470643, 100.16403019,\n", - " 100.17753265, 104.83184955, 97.52198526, 104.27965531,\n", - " 103.44913206, 90.43210934, 106.18725695, 78.33087288,\n", - " 106.74076863, 92.7707982 , 81.372294 , 107.70315781,\n", - " 102.87202888, 82.67990885, 108.51139736, 87.43680675,\n", - " 121.17566635, 123.14157281, 97.18080761, 100.03084371,\n", - " 99.16619472, 108.33595271, 96.71055588, 108.63440251,\n", - " 106.05410909, 105.47421229, 96.69850646, 115.2023264 ,\n", - " 61.37146566, 62.69801628, 85.78176929, 108.13010651,\n", - " 95.12748516, 61.00421301, 67.5061212 , 109.29520604,\n", - " 109.2413694 , 104.07523921, 95.25788365, 48.24929474,\n", - " 105.90269069, 96.56943897, 109.30608574, 96.7635748 ,\n", - " 103.40902096, 104.36879154, 99.58988173, 107.95826196,\n", - " 96.25235546, 85.59846593, 106.65739971, 100.62130954,\n", - " 109.35647817, 126.14057656, 102.0926216 , 109.87919549,\n", - " 75.85435083, 62.91158715, 108.66733235, 108.01620376,\n", - " 106.76162677, 107.24803006, 107.71384339, 135.41588963,\n", - " 97.19607018, 108.76507909, 109.45185212, 118.66379624,\n", - " 109.37241344, 107.52291524, 97.1454953 , 73.23855196,\n", - " 73.47338317, 102.1849863 , 97.76303999, 109.81732851,\n", - " 106.09106151, 53.59344367, 53.8500017 , 78.12659269,\n", - " 109.22465601, 107.5769304 , 85.336481 , 105.45307869,\n", - " 108.79715526, 106.48711051, 92.29482295, 86.47328698,\n", - " 102.2708109 , 108.2270669 , 108.62043475, 107.81708361,\n", - " 107.64405984, 99.71155591, 105.52837143, 109.10189272,\n", - " 94.37274616, 112.64748874, 88.71094776, 103.92526077,\n", - " 105.11358735, 108.58551282, 104.2375685 , 107.23182464,\n", - " 109.29576808, 100.56078104, 137.94375497, 119.46510491,\n", - " 133.5611363 , 112.64148181, 97.46810373, 96.50797899,\n", - " 96.92245372, 106.91865463, 107.95037911, 106.69214452,\n", - " 104.84800432, 108.02335463, 109.6745791 , 82.00415541,\n", - " 129.13852246, 97.37112888, 98.77391095, 103.84577018,\n", - " 103.45388436, 74.13223681, 116.12971294, 109.86528582,\n", - " 122.39505668, 99.90064831, 98.38511261, 96.9102072 ,\n", - " 98.07765939, 126.00614044, 120.36570068, 106.9366 ,\n", - " 104.49335765, 106.84733527, 57.40104118, 107.52697046,\n", - " 106.14862462, 98.80161009, 99.27037625, 93.26508781,\n", - " 75.02521572, 99.35291046, 86.92557341, 90.52589789,\n", - " 106.36527635, 105.58594323, 106.6450355 , 99.97665055,\n", - " 100.72781783, 106.78995011, 107.38825065, 75.59643711,\n", - " 106.72946297, 100.77275089, 107.93220821, 92.54902204,\n", - " 114.9488803 , 97.61638889, 102.51510767, 105.3058398 ,\n", - " 136.06884664, 96.38317142, 98.72599463, 109.00480485,\n", - " 99.09876623, 104.93780618, 106.19139639, 108.87026391,\n", - " 123.94854288, 100.51169324, 105.30272022, 98.80878935,\n", - " 100.62864921, 97.96951394, 100.62029128, 99.90000927,\n", - " 103.85342814, 108.06210286, 103.39581302, 103.71101363,\n", - " 107.96803491, 97.65318744, 103.68931746, 97.92589894,\n", - " 98.79496713, 126.13844737, 97.10175772, 104.48746217,\n", - " 107.20180904, 96.16303292, 75.89845826, 99.79167422,\n", - " 104.76990381, 102.45226789, 112.89667945, 114.81404465,\n", - " 109.67475842, 80.27176213, 101.32329385, 106.59596058,\n", - " 108.45671885, 124.9816306 , 86.73568462, 138.68668606,\n", - " 83.07973942, 81.5444337 , 79.79879799, 133.10481463,\n", - " 101.09953287, 99.87596296, 106.0247837 , 98.43128423,\n", - " 73.23133101, 72.83044186, 109.63664755, 106.84922258,\n", - " 99.96569118, 107.9169382 , 104.40324317, 107.53945326,\n", - " 106.6454241 , 133.77639474, 103.14525803, 109.67402392,\n", - " 109.67446976, 107.25645365, 98.44346433, 108.09243855,\n", - " 108.04447602, 99.26274742, 103.05971828, 106.11064423,\n", - " 109.82280738, 96.51105226, 96.89889083, 103.50133009,\n", - " 93.35506038, 96.14204598, 82.24886656, 100.28525389,\n", - " 100.26186692, 99.75189028, 108.51642875, 108.49044852,\n", - " 79.67431978, 82.57047442, 107.08599622, 72.7253671 ,\n", - " 101.51541658, 116.93517023, 100.26355171, 102.59381012,\n", - " 107.8972853 , 107.89701404, 108.103673 , 97.64921826,\n", - " 95.88725729, 109.31415663, 108.71693924, 78.56525131,\n", - " 73.11882333, 108.28786826, 107.60471277, 93.61880108,\n", - " 85.85475335, 106.90296098, 103.49669352, 94.23809719,\n", - " 115.48693997, 98.09927617, 102.7182332 , 93.52479983,\n", - " 109.25764814, 77.57973858, 75.5544789 , 103.12119381,\n", - " 85.39682601, 103.45104853, 101.09775817, 75.63608277,\n", - " 105.08876906, 89.78320829, 101.43162187, 104.50917334,\n", - " 96.36058016, 98.32441406, 115.10476231, 55.57558693,\n", - " 73.75443959, 109.65664497, 75.52764517, 81.08798713,\n", - " 70.8737569 , 96.54581276, 74.45479322, 101.90256981,\n", - " 124.7043277 , 85.87654032, 80.02837633, 76.9525315 ,\n", - " 98.85982211, 96.1539887 , 95.44817222, 86.96149886,\n", - " 108.17558213, 76.07529371, 99.17927448, 104.4636378 ,\n", - " 107.20935356, 106.17666965, 99.15329189, 86.45913074,\n", - " 109.67478889, 102.3067769 , 103.71323375, 56.58624606,\n", - " 112.01841548, 84.09328535, 96.79161457, 97.04059185,\n", - " 79.11980318, 106.87344392, 91.00895893, 100.65016681,\n", - " 59.29727996, 106.8730938 , 135.89808204, 99.22169191,\n", - " 80.85776259, 97.40896123, 108.0309141 , 99.77235425,\n", - " 72.98285051, 83.58991794, 89.87660063, 91.0981073 ,\n", - " 101.0455299 , 70.46520754, 102.85448711, 99.71169634,\n", - " 101.52103444, 94.14481134, 98.04119329, 99.51847389,\n", - " 101.69343759, 97.47832925, 73.81153931, 96.50257646,\n", - " 109.37982676, 54.71095669, 79.61249792, 98.37920987,\n", - " 96.94482466, 97.17709962, 78.70027726, 105.52110292,\n", - " 76.63055558, 94.58211664, 98.35280363, 99.57020651,\n", - " 107.99272916, 80.53232428, 99.26071531, 68.51980945,\n", - " 85.8407152 , 92.50373021, 72.87768495, 104.44931174,\n", - " 67.61948104, 73.05626729, 96.86706139, 68.61175599,\n", - " 104.95061367, 110.31605251, 105.62304574, 104.97266202,\n", - " 106.05409737, 108.09326948, 80.82350878, 109.42447997,\n", - " 95.16540606, 114.16418475, 105.66232873, 100.55077753,\n", - " 96.5983628 , 99.94448351, 98.6386613 , 96.35495369,\n", - " 101.59161527, 101.856863 , 93.37280551, 143.77362089,\n", - " 137.45296832, 67.69278516, 100.07940663, 134.21828491,\n", - " 105.0139769 , 105.6136157 , 109.67475808, 101.31668305,\n", - " 61.09162864, 143.16657158, 98.37119914, 59.02429741,\n", - " 101.93500718, 71.29909036, 100.96042793, 96.29381955,\n", - " 104.29731468, 109.1541857 , 120.23358762, 108.9077545 ,\n", - " 101.57816366, 96.97654871, 96.32894857, 106.25110953,\n", - " 99.78798284, 93.22770235, 106.59515294, 98.12736413,\n", - " 106.98998895, 100.17117195, 97.34078126, 98.02655525,\n", - " 102.81433624, 100.63115426, 99.28205369, 99.31498264,\n", - " 108.63394211, 108.29370561, 102.02774819, 109.57359436,\n", - " 83.51458196, 134.88791817, 105.25079393, 87.70955025,\n", - " 80.28057463, 98.10902876, 90.93956878, 56.55806628,\n", - " 107.34809268, 130.21074583, 97.19388147, 102.96301145,\n", - " 82.97902586, 97.54231825, 99.02923483, 95.70103517,\n", - " 105.22407146, 63.2693682 , 102.37466079, 108.06036603,\n", - " 63.52775367, 101.32132987, 97.82255802, 99.6145559 ,\n", - " -1.6634491 , 93.44696411, 72.61851095, 160.17361454,\n", - " 107.93220821, -0.43039014, -0.79432749, 110.50400148,\n", - " 89.17244127, 95.91659596, 115.6000603 , 119.79460955,\n", - " 40.59845018, 112.14143627, 80. , 39.99 ,\n", - " 179.9834361 , 129.62909765, 1.72776122, 110.94169991,\n", - " 180.79760175, 96.52226299, 147.24158125, 109.45060743,\n", - " 109.04426675, -0.45722408, 173.67150907, 51.14984289,\n", - " 73.99456823, 143.0352634 , 120.58188122, 102.05885928,\n", - " 80.93310462, 74.15902271, 139.99 , 112.01559063,\n", - " 0. , 0. , 61.75562702, 77.87496769,\n", - " 46.194113 , 69.04597911, 39.13975256, 42.31905477,\n", - " 26.77547469, 35.18770134, 59.19526697, 56.28202548,\n", - " 50.82314356, 53.35056524, 60.21092045]), array([ 86.19150433, 133.70085437, 101.6325183 , 75.232581 ,\n", - " 108.56580637, 108.68042153, 109.62718678, 106.78450858,\n", - " 89.6230266 , 57.50582954, 107.64994216, 108.97394066,\n", - " 119.90869925, 101.42316312, 101.61794574, 103.11820353,\n", - " 86.00071244, 88.49183161, 88.72952818, 99.80967606,\n", - " 103.70525016, 102.70995137, 99.34248932, 107.60232653,\n", - " 109.48613544, 108.1110448 , 99.20287823, 98.54717526,\n", - " 72.09280873, 148.15994362, 99.01461345, 100.93328273,\n", - " 105.18748381, 66.40105176, 102.39169509, 72.54386387,\n", - " 92.53047952, 82.97272804, 48.94455059, 63.43969992,\n", - " 96.70225927, 99.05022664, 101.46294654, 96.72517672,\n", - " 109.43902351, 65.35881342, 108.53117276, 75.71359673,\n", - " 109.47579814, 141.76421304, 107.12211918, 106.30824927,\n", - " 103.21559549, 109.28209597, 74.82972821, 107.24928397,\n", - " 107.05828497, 101.83772557, 95.9710653 , 48.3434675 ,\n", - " 95.69263555, 92.02511492, 98.20677613, 98.13429513,\n", - " 84.49639234, 90.93272088, 95.85605441, 93.47572553,\n", - " 95.95171593, 377.39898598, 83.44643829, 91.28283678,\n", - " 102.14653125, 102.67858033, 96.78759171, 98.5792441 ,\n", - " 50.30892146, 103.38160739, 100.22384947, 97.44333568,\n", - " 50.52935182, 91.82722207, 79.84198384, 103.31994632,\n", - " 106.02257514, 105.69404102, 97.21902185, 103.84046585,\n", - " 103.91994056, 54.02420451, 48.50574395, 107.89213794,\n", - " 82.0976547 , 80.19736587, 90.13722822, 76.25869339,\n", - " 108.78817642, 108.79788234, 65.57898738, 100.71174959,\n", - " 92.30937248, 118.8663731 , 83.58861844, 103.54876343,\n", - " 100.03991491, 99.58988942, 98.45212649, 106.17823835,\n", - " 106.19910087, 102.74485522, 107.25442383, 102.96720196,\n", - " 133.45613767, 88.82469003, 77.89322536, 135.25767768,\n", - " 110.27821166, 116.81666598, 109.87658246, 137.89773218,\n", - " 105.35869292, 84.19774907, 85.62286783, 92.11883529,\n", - " 95.39265429, 147.07457502, 78.97652282, 78.5003873 ,\n", - " 114.13420488, 113.87637842, 104.00172987, 96.54114615,\n", - " 106.61934981, 106.3253213 , 103.04755211, 105.25081965,\n", - " 100.44428621, 107.60386504, 107.8729785 , 107.87709454,\n", - " 94.50793295, 92.37799343, 99.98069496, 107.26659066,\n", - " 103.56162868, 107.38937756, 107.23540587, 84.65035653,\n", - " 102.8414366 , 117.90107921, 109.38112355, 83.09280584,\n", - " 130.61491129, 143.76056911, 108.5688644 , 102.74257313,\n", - " 97.6123726 , 98.33104288, 105.69319217, 55.76078559,\n", - " 56.72709864, 108.34984259, 105.44005064, 101.06159645,\n", - " 108.11727381, 108.11575714, 134.27878328, 116.48618346,\n", - " 97.52742096, 107.14526298, 95.78662508, 101.37792451,\n", - " 98.22868183, 85.71611162, 74.23354676, 108.43511101,\n", - " 109.16739021, 86.59741367, 86.50483489, 106.21846609,\n", - " 109.49507682, 94.86567708, 103.15655251, 105.30305907,\n", - " 103.26260838, 63.92649805, 101.05888427, 95.73275834,\n", - " 91.14786102, 78.76935434, 72.67725951, 101.20315713,\n", - " 65.12147653, 106.60554603, 109.87054075, 108.57726669,\n", - " 100.15687003, 104.28569875, 137.9911943 , 102.77356741,\n", - " 108.95289555, 141.82393782, 98.54542965, 102.77769152,\n", - " 133.64804322, 99.99855181, 99.89430982, 95.42670871,\n", - " 105.99343564, 107.60804765, 108.15138165, 117.13552282,\n", - " 112.32275774, 123.0341965 , 101.98677012, 83.72208552,\n", - " 109.49169253, 109.49187382, 114.63727799, 113.93318836,\n", - " 106.67694921, 77.69391211, 87.01088176, 105.51138567,\n", - " 104.44003495, 105.42172804, 86.64342113, 86.04789001,\n", - " 97.12451226, 95.81577807, 105.38433079, 109.44898782,\n", - " 103.00694079, 101.34450315, 108.86419677, 98.85676251,\n", - " 92.26184189, 98.54366746, 104.21426889, 108.56233171,\n", - " 108.76121312, 107.30663573, 95.70713782, 107.34128928,\n", - " 104.48556396, 103.31689378, 73.99667509, 67.12480947,\n", - " 72.20144154, 97.91368788, 96.88871552, 146.25380075,\n", - " 83.5745708 , 102.52717515, 106.17907139, 109.2907741 ,\n", - " 99.7318276 , 107.91165673, 100.09507869, 76.526057 ,\n", - " 78.03932408, 94.70863751, 86.42159645, 89.42498229,\n", - " 101.27839189, 66.66543192, 86.51981469, 97.07408384,\n", - " 107.97744125, 131.95668322, 87.08457391, 92.79651844,\n", - " 105.88995205, 108.99902107, 108.78646039, 98.28617245,\n", - " 99.77085055, 95.0289042 , 110.10112172, 107.20135557,\n", - " 82.44997924, 103.67696596, 103.38276158, 104.03281767,\n", - " 108.54533634, 86.85694587, 99.95368911, 86.44276082,\n", - " 74.45975595, 72.68010619, 145.24407051, 113.31130404,\n", - " 66.76626532, 68.70953125, 119.7617972 , 107.78011867,\n", - " 84.06072229, 102.20466184, 69.34410539, 78.70999204,\n", - " 103.81044557, 108.48657451, 94.3537339 , 106.02341874,\n", - " 108.50290285, 105.61296553, 108.50599994, 105.85505762,\n", - " 91.47873056, 105.35633938, 99.74473505, 106.82982883,\n", - " 78.95013417, 78.52931096, 138.2473238 , 138.48006713,\n", - " 105.11585224, 71.97827987, 101.0300894 , 93.04228139,\n", - " 108.10708057, 100.18372707, 75.72100024, 75.05054115,\n", - " 96.60252613, 100.75680197, 98.93678879, 104.61981735,\n", - " 103.61887645, 104.80268066, 104.81009335, 123.11676291,\n", - " 98.86996999, 99.36724242, 90.32853932, 88.63619946,\n", - " 130.62993907, 127.36948136, 108.54229263, 102.05815556,\n", - " 109.73189864, 94.74618536, 129.41959037, 103.25250875,\n", - " 101.97178949, 101.6515533 , 105.31021624, 105.13687362,\n", - " 94.28533255, 70.31864031, 105.69053248, 106.23945896,\n", - " 89.77974144, 99.09144332, 100.4556849 , 103.07279882,\n", - " 132.64192903, 127.49895538, 107.56653796, 97.19173986,\n", - " 102.14815058, 100.42872544, 106.58128033, 105.48473124,\n", - " 108.34883962, 125.72271629, 136.12285024, 108.71854925,\n", - " 108.87534208, 107.52499705, 106.77651448, 104.89160243,\n", - " 99.59577736, 107.36660955, 97.99990944, 97.837561 ,\n", - " 103.46659596, 94.94069136, 82.76437379, 138.93702801,\n", - " 100.33594057, 114.77791433, 104.99184264, 107.95075638,\n", - " 92.25293376, 75.47111036, 45.81153429, 97.89880724,\n", - " 104.22905245, 120.66183583, 106.71116691, 107.25318116,\n", - " 101.26776801, 63.91451812, 87.44309928, 107.47773821,\n", - " 98.33717251, 67.824931 , 107.03790187, 109.80072995,\n", - " 107.79887695, 106.26534159, 66.54926105, 108.87606941,\n", - " 95.69908203, 102.48013723, 106.29705563, 109.26711646,\n", - " 106.7537411 , 99.25960298, 99.22628579, 102.62360422,\n", - " 68.88389364, 141.08229008, 91.658532 , 84.66019244,\n", - " 109.82498611, 108.64673002, 75.64591447, 80.54964671,\n", - " 96.21867902, 105.51456853, 102.28233904, 100.0554431 ,\n", - " 100.06899614, 104.60500558, 97.37126766, 104.14713033,\n", - " 103.32503614, 89.93628126, 106.17801837, 78.3216343 ,\n", - " 106.58024515, 86.77226896, 72.66521643, 107.55408998,\n", - " 101.67994319, 82.52918313, 108.52391259, 86.34100057,\n", - " 121.05516597, 123.02107244, 97.1582171 , 99.80882828,\n", - " 98.94530064, 107.53316888, 96.50807674, 107.83161868,\n", - " 105.85169196, 105.27179515, 96.61091667, 115.13698253,\n", - " 60.16583251, 61.49238313, 85.28099195, 108.02856575,\n", - " 94.92500601, 59.8686997 , 67.30364206, 109.30772126,\n", - " 108.43701369, 104.05183878, 95.26973654, 48.26114763,\n", - " 105.73121314, 96.39541223, 109.15540812, 96.57635004,\n", - " 103.34886385, 104.2222141 , 99.44500463, 107.73440918,\n", - " 90.25382623, 79.5999367 , 106.57012359, 100.54819683,\n", - " 109.20525823, 125.64475033, 101.02866207, 108.81523596,\n", - " 73.73131664, 60.78855296, 108.51521138, 107.98782763,\n", - " 106.58858837, 107.07499166, 100.9637344 , 135.28120168,\n", - " 97.14661941, 102.1598845 , 102.84665753, 118.61982662,\n", - " 109.38511751, 107.53561931, 95.93986216, 67.24002273,\n", - " 67.47485394, 102.0101315 , 97.52549875, 109.64429011,\n", - " 105.88906141, 53.38985241, 53.64640998, 77.9229934 ,\n", - " 109.07314399, 107.42777782, 85.34168032, 105.4538217 ,\n", - " 108.64755006, 106.48785352, 92.29556596, 86.26969606,\n", - " 102.05562748, 108.01050738, 108.40396794, 107.63706005,\n", - " 107.43345733, 99.72407114, 105.52837143, 108.95255894,\n", - " 94.12896651, 112.15166492, 88.29413883, 103.76339882,\n", - " 104.93113312, 108.59223532, 104.01250839, 107.17300918,\n", - " 109.30770637, 100.46683947, 137.90297353, 119.34460453,\n", - " 133.5611363 , 112.64148181, 97.47975491, 96.51965653,\n", - " 96.18878733, 106.76920396, 107.79999708, 106.54266062,\n", - " 104.35217625, 107.8729595 , 108.8746119 , 81.58734647,\n", - " 128.9958933 , 97.13256521, 98.68480969, 103.64329103,\n", - " 102.25613999, 68.23603814, 116.12971294, 108.72819076,\n", - " 117.30815374, 91.6418553 , 97.01151004, 96.75943943,\n", - " 97.92690297, 120.91923699, 119.86987329, 106.84703399,\n", - " 104.28042193, 105.71024021, 57.15187627, 106.30289037,\n", - " 105.97714462, 98.63021579, 98.06116031, 87.26655858,\n", - " 69.02668649, 99.20245313, 86.93808864, 90.38326873,\n", - " 106.1627972 , 105.38358427, 105.84225167, 99.94945704,\n", - " 100.70062433, 106.77698901, 107.37528955, 75.45380795,\n", - " 106.71700335, 100.76029126, 106.97154147, 92.3465429 ,\n", - " 114.82837977, 97.49588836, 101.32302198, 105.29660122,\n", - " 135.94834626, 96.20592173, 98.55410304, 107.76905918,\n", - " 97.86302056, 104.77463188, 105.2307296 , 108.7070896 ,\n", - " 123.82804235, 100.48333782, 105.25642995, 98.57124811,\n", - " 100.39110797, 97.74712203, 100.5804788 , 99.86019678,\n", - " 102.66134246, 107.97263622, 102.20372733, 103.68573068,\n", - " 107.98055014, 97.66504085, 103.48634469, 97.6883577 ,\n", - " 98.55742589, 120.20894437, 96.89927858, 104.28498302,\n", - " 107.10173412, 95.96055377, 75.69597911, 99.58919507,\n", - " 104.58092983, 102.26329391, 112.75405029, 114.31822084,\n", - " 108.87554937, 79.75310582, 101.22663433, 105.6855071 ,\n", - " 108.45746186, 124.9816306 , 86.72644605, 138.68668606,\n", - " 82.58391135, 81.39928788, 79.65365217, 133.10481463,\n", - " 101.003098 , 99.56604574, 105.88215454, 98.28865507,\n", - " 67.23280178, 66.83191263, 109.62740897, 106.11977916,\n", - " 99.79410327, 107.71419875, 104.37909071, 107.04362524,\n", - " 106.65793933, 133.77639474, 101.98541939, 108.87165627,\n", - " 108.874037 , 107.21054434, 98.27153289, 108.10495378,\n", - " 107.89412161, 99.02520618, 102.89974404, 105.76652149,\n", - " 109.65911339, 96.30857311, 96.16551494, 102.77165903,\n", - " 93.11122829, 95.89821388, 82.04638741, 100.09584945,\n", - " 100.08745586, 99.60070251, 108.36676299, 108.50296375,\n", - " 72.22474433, 82.33191076, 106.5901724 , 66.72683787,\n", - " 96.42851365, 110.76305795, 100.05381147, 96.42169784,\n", - " 106.93661856, 106.9363473 , 108.11618823, 97.44068542,\n", - " 95.66398311, 108.51001073, 107.91279334, 78.41452336,\n", - " 72.96809538, 108.08418461, 107.44488134, 93.41632194,\n", - " 77.26419108, 106.73958327, 103.46857262, 94.03561804,\n", - " 115.48693997, 97.89677454, 102.67170685, 93.2148826 ,\n", - " 109.21173886, 77.58646107, 74.67105505, 102.97856464,\n", - " 84.02322345, 103.32754755, 100.98444095, 74.67541603,\n", - " 105.0424788 , 89.47329106, 101.43162187, 104.49541591,\n", - " 96.18672235, 98.33692929, 115.10476231, 55.58829742,\n", - " 73.5508403 , 108.46331472, 69.52911594, 80.94535797,\n", - " 69.67601252, 96.53657419, 74.44555464, 101.70015267,\n", - " 124.7043277 , 85.85238786, 79.88323051, 76.80990234,\n", - " 98.67328718, 95.65816488, 95.24569307, 81.00294176,\n", - " 107.97287938, 75.93014789, 98.97679533, 103.96781398,\n", - " 107.16344425, 106.13076034, 99.00200302, 86.14921351,\n", - " 108.87570392, 102.06923566, 103.68959296, 56.38265512,\n", - " 111.89791495, 83.59745783, 96.55407333, 96.80305061,\n", - " 79.09565072, 106.75170938, 90.51313269, 100.61035433,\n", - " 58.80145245, 106.8271845 , 135.89808204, 99.07226022,\n", - " 80.65417155, 96.601618 , 107.90969345, 99.65185372,\n", - " 72.41966678, 83.12049036, 89.4597917 , 90.87241592,\n", - " 100.80938399, 69.96938002, 102.80403689, 99.56145826,\n", - " 95.29406597, 93.94233219, 97.89856413, 99.37359679,\n", - " 101.572937 , 97.24078801, 73.60906016, 96.29404362,\n", - " 109.15592963, 54.48526531, 72.16292246, 98.1395263 ,\n", - " 96.75806332, 96.93955838, 78.49667797, 105.53361814,\n", - " 76.13473177, 94.33833699, 98.20295545, 99.367712 ,\n", - " 107.94227894, 80.28645213, 99.02103173, 67.95662572,\n", - " 85.69808604, 92.30122859, 72.38185871, 104.38196939,\n", - " 67.41700189, 72.72166366, 96.05768909, 67.40254005,\n", - " 104.80351 , 110.278319 , 105.45000734, 104.89821613,\n", - " 105.85168023, 108.1057847 , 72.32738602, 109.43718546,\n", - " 94.35603376, 113.66836094, 105.67484396, 99.38959855,\n", - " 95.86510741, 99.95120601, 97.90475713, 95.62104952,\n", - " 100.39952959, 101.26072012, 92.77666262, 143.63893294,\n", - " 137.45296832, 67.12960143, 100.09192186, 134.17750347,\n", - " 105.0139769 , 104.42153001, 108.87554903, 101.32996458,\n", - " 60.94648282, 143.03188363, 98.37792163, 58.52847117,\n", - " 101.83208194, 70.69679309, 100.34148057, 96.1995585 ,\n", - " 104.07387948, 109.14338133, 120.23358762, 108.88949356,\n", - " 100.38607798, 96.98327121, 96.10615346, 105.76640329,\n", - " 99.58548122, 93.02520073, 106.0993255 , 98.02823088,\n", - " 106.98998895, 99.96868089, 97.19194731, 97.87579883,\n", - " 102.08498429, 100.64385833, 98.47926986, 98.51219881,\n", - " 108.60870635, 107.14184758, 101.929644 , 109.34966519,\n", - " 83.47476947, 134.76741779, 104.52144197, 87.50595953,\n", - " 80.07698391, 97.30053667, 90.79693962, 56.06224246,\n", - " 107.24409672, 130.09024545, 96.46050558, 102.80932733,\n", - " 82.74148462, 97.30477701, 98.79169359, 95.71288806,\n", - " 105.12441426, 63.27609069, 102.16584065, 107.93915171,\n", - " 63.29946851, 101.11885072, 97.58399435, 99.37599224,\n", - " -1.6634491 , 92.28712547, 72.01840558, 159.52353035,\n", - " 106.97154147, -0.43039742, -0.79433468, 110.43975397,\n", - " 88.1099687 , 89.36816157, 101.36802493, 114.70771269,\n", - " 40.60517267, 111.64560883, 80. , 39.99 ,\n", - " 178.22052797, 125.80421371, 1.72776122, 108.37882889,\n", - " 179.05091985, 90.65710022, 147.12108066, 109.28424916,\n", - " 108.88060922, -0.45723375, 173.60329476, 42.69165004,\n", - " 64.74589632, 142.53943601, 120.35359606, 101.5630312 ,\n", - " 80.79047562, 73.93073755, 139.99 , 109.45271961,\n", - " 0. , 0. , 61.63512691, 77.87650043,\n", - " 46.194113 , 68.9500435 , 38.64392925, 42.31905477,\n", - " 26.77547469, 34.95941618, 59.20869303, 56.42319416,\n", - " 50.82314356, 54.57404064, 57.88599507]), array([102.77390431, 133.40561703, 102.00964276, 75.586852 ,\n", - " 108.60087409, 108.71827589, 109.66465387, 106.80763322,\n", - " 89.73526375, 57.62049692, 107.76905775, 109.09222414,\n", - " 119.70351545, 101.44745234, 101.64928353, 103.14954122,\n", - " 86.06443398, 88.5447512 , 88.76764222, 99.84785941,\n", - " 103.72890145, 102.73298958, 99.37361021, 107.42175524,\n", - " 109.60287208, 108.22284038, 99.2339242 , 97.5100264 ,\n", - " 70.99148419, 147.42808952, 96.3865327 , 99.98743903,\n", - " 104.24169192, 66.51320605, 103.05058633, 72.65602225,\n", - " 92.56356114, 83.00544828, 49.05669206, 63.55184861,\n", - " 96.71987782, 99.0677301 , 102.14037559, 98.05278907,\n", - " 109.46063167, 64.94689928, 108.37493174, 75.41562485,\n", - " 109.50326153, 141.43078431, 107.14583633, 106.33409527,\n", - " 103.24191316, 109.30444653, 74.84417047, 107.27280592,\n", - " 107.08134276, 97.71618064, 95.9419702 , 44.21792574,\n", - " 94.70744054, 89.29320882, 97.17299168, 97.09121008,\n", - " 84.60857965, 91.04302598, 95.58152048, 93.1504247 ,\n", - " 96.0641107 , 378.00464379, 83.55867221, 91.39495929,\n", - " 101.97503466, 102.50708374, 95.83992393, 98.42098619,\n", - " 50.15045432, 103.27186021, 100.11049401, 96.40713851,\n", - " 48.96020091, 86.20524271, 74.21986828, 103.02144136,\n", - " 105.12264072, 104.85045625, 97.33144383, 103.70987523,\n", - " 103.79103813, 54.13633636, 48.61788164, 107.71184125,\n", - " 82.20988305, 80.30955505, 84.57454729, 70.69593943,\n", - " 108.81052639, 108.82023231, 65.39650361, 100.52959698,\n", - " 80.1487066 , 108.54706836, 80.52364341, 93.22811063,\n", - " 100.16470387, 99.71508762, 97.41432239, 106.04404802,\n", - " 105.96766323, 102.51592081, 107.10943486, 102.82176355,\n", - " 124.40198886, 91.54239257, 80.62009099, 125.52830195,\n", - " 110.13325422, 115.83454531, 108.8942271 , 129.54625157,\n", - " 95.62871842, 90.09132206, 91.40965224, 96.63574955,\n", - " 99.94098397, 146.43173825, 74.28949312, 73.81232573,\n", - " 117.05888949, 116.29490119, 104.02695321, 96.5590465 ,\n", - " 106.48276385, 106.18920933, 101.96081746, 104.19219691,\n", - " 115.84026605, 107.64337099, 107.91013397, 107.91511506,\n", - " 93.24522721, 91.09733314, 99.80825369, 106.36458001,\n", - " 103.43184639, 107.49076377, 107.33387537, 100.04632655,\n", - " 102.66610948, 116.49499682, 109.20346114, 83.71022952,\n", - " 121.21059696, 140.5992788 , 98.58900753, 102.59388322,\n", - " 97.45469451, 98.17197055, 105.80470096, 56.04582803,\n", - " 57.05776981, 108.38919085, 105.27441803, 100.85421053,\n", - " 107.19716048, 107.19462892, 132.83545432, 115.03446185,\n", - " 97.37016682, 107.25676898, 96.44761867, 102.03891558,\n", - " 98.07299622, 85.8282411 , 74.34559938, 108.46638986,\n", - " 109.19495386, 86.70960697, 86.61701162, 106.25594554,\n", - " 109.60654354, 95.54285756, 103.83185093, 104.37112172,\n", - " 102.32789867, 64.17825 , 101.86868854, 96.53977755,\n", - " 92.06846359, 79.68996209, 72.69396265, 101.25230866,\n", - " 65.15463031, 106.43511593, 109.70134469, 108.60008758,\n", - " 100.0268498 , 104.1556783 , 137.69567807, 102.80023667,\n", - " 108.98023144, 138.671493 , 98.61459957, 103.44229735,\n", - " 132.76190383, 100.12169962, 100.01778972, 96.65808091,\n", - " 107.06757115, 107.633663 , 108.1770006 , 119.11947007,\n", - " 114.54934486, 121.96435107, 102.09606506, 82.73035376,\n", - " 109.6110568 , 109.61108347, 116.53154689, 115.84832613,\n", - " 105.95571555, 76.96230492, 87.12302811, 96.44953866,\n", - " 105.24939145, 104.58690125, 86.75555328, 86.16001992,\n", - " 97.23704019, 96.49293228, 105.23680155, 109.29893502,\n", - " 92.7616874 , 91.11227144, 109.53112506, 98.88288648,\n", - " 91.70551498, 98.56751456, 104.3341095 , 98.67691794,\n", - " 108.79308373, 107.32051653, 95.72013967, 107.36420455,\n", - " 104.50332658, 93.04914939, 74.35085622, 66.56633727,\n", - " 72.55560371, 97.92031842, 96.90414478, 145.52193806,\n", - " 72.93309346, 103.01435994, 106.21674921, 109.32401168,\n", - " 99.74489282, 108.02322035, 100.10835739, 75.40343861,\n", - " 76.91659652, 92.06778973, 83.7794404 , 89.55397899,\n", - " 101.39673749, 67.01023176, 86.33333017, 96.88814428,\n", - " 108.01590251, 131.22624525, 87.11792193, 92.82987357,\n", - " 104.95810353, 107.94592503, 107.73331728, 98.76206733,\n", - " 99.89443731, 95.70842285, 113.01773677, 110.08448652,\n", - " 83.37058791, 104.27828702, 103.98399438, 103.90764943,\n", - " 108.3978727 , 86.87035624, 100.07838189, 86.45547962,\n", - " 74.57192544, 72.79227568, 144.31150357, 112.2174868 ,\n", - " 66.79961 , 68.74287734, 117.24236011, 105.17014379,\n", - " 84.53638888, 91.25207901, 69.81602113, 93.47324656,\n", - " 103.67643684, 108.35256489, 94.40540091, 106.03730018,\n", - " 108.516792 , 105.44845358, 108.3227129 , 105.89028758,\n", - " 79.34766456, 105.39142798, 99.78283339, 106.85574299,\n", - " 78.98335806, 78.56253335, 137.12950114, 137.36211148,\n", - " 105.15050099, 72.45394517, 100.06964435, 93.0756333 ,\n", - " 107.18014629, 100.30892527, 84.15455207, 82.79839857,\n", - " 96.62021104, 99.75489092, 99.06129257, 103.26147468,\n", - " 103.65483184, 104.83977351, 104.84629066, 112.90875397,\n", - " 98.90353841, 99.39918359, 90.44066356, 88.74832365,\n", - " 121.21735603, 117.95645993, 108.58153383, 102.18254574,\n", - " 100.28117844, 85.29019515, 119.1646113 , 92.98969573,\n", - " 101.99624553, 101.67591442, 105.34136154, 107.54839717,\n", - " 94.12681689, 70.16012289, 106.06315913, 106.25748132,\n", - " 92.00518403, 99.11505072, 100.47645505, 103.09922409,\n", - " 122.60056628, 117.66458307, 107.59317621, 97.22523965,\n", - " 102.17266479, 100.45290217, 106.60498539, 105.51973668,\n", - " 108.37949492, 123.58001699, 133.96178426, 109.39107476,\n", - " 109.54345632, 107.57282742, 106.82413418, 104.92662761,\n", - " 99.61981045, 107.47933358, 98.92052242, 97.67915579,\n", - " 103.57855707, 95.05288097, 80.13398133, 136.30500438,\n", - " 99.40230507, 117.70169941, 105.38053018, 107.97429658,\n", - " 95.18492012, 78.27164439, 45.65301375, 100.75207267,\n", - " 104.74592995, 118.16827295, 106.55740227, 107.09791119,\n", - " 100.18204882, 64.22888651, 86.33814606, 107.58927598,\n", - " 98.44869988, 63.09579424, 102.29091374, 109.66672024,\n", - " 107.91809272, 106.38455735, 66.65661327, 109.54366789,\n", - " 94.59874508, 99.80142507, 106.31474235, 109.30404455,\n", - " 107.80073978, 99.28671392, 99.2533936 , 104.58426303,\n", - " 68.99594536, 137.92647418, 92.13427276, 83.54169881,\n", - " 109.74063889, 108.54479792, 71.72317711, 76.98448788,\n", - " 96.34729904, 105.55243977, 101.34058791, 100.08259517,\n", - " 100.09611713, 104.72444043, 97.40244722, 104.18012352,\n", - " 103.35603225, 77.80272975, 106.02143693, 78.16505038,\n", - " 106.62709596, 89.48996551, 78.69242571, 107.58982029,\n", - " 102.49082699, 82.56034835, 108.42356251, 86.8383711 ,\n", - " 120.12117861, 122.09408914, 95.87478317, 99.91620368,\n", - " 99.05175594, 108.20495119, 95.36408942, 108.50339614,\n", - " 104.90554142, 104.32563698, 96.63422936, 114.20440393,\n", - " 61.01854254, 62.34097768, 85.29108611, 108.055204 ,\n", - " 93.78083859, 60.21745059, 66.08301134, 108.25640548,\n", - " 109.10958691, 103.93026805, 95.23772231, 48.22913213,\n", - " 105.77088399, 96.44435407, 109.19169726, 96.64431024,\n", - " 103.18260643, 104.25663067, 99.47872297, 107.8536188 ,\n", - " 92.98166548, 82.36054297, 106.5932624 , 100.56871084,\n", - " 109.24017326, 122.54994367, 101.0865067 , 108.87308031,\n", - " 74.23517412, 61.28805718, 108.55445258, 107.85664875,\n", - " 106.61683283, 107.10325222, 104.69370975, 134.97504368,\n", - " 97.16279421, 105.75546285, 106.44112908, 117.21430501,\n", - " 109.37619506, 107.52194138, 96.84592391, 70.00626194,\n", - " 70.22426449, 102.04363045, 97.64989417, 109.67649583,\n", - " 104.9570264 , 53.50198277, 53.75854143, 78.03516326,\n", - " 109.10509338, 107.46212974, 85.15528888, 105.41700517,\n", - " 108.68246301, 106.45104013, 92.25914333, 86.38182575,\n", - " 102.15681315, 108.12745788, 108.52107299, 107.70338827,\n", - " 107.53056688, 98.67080775, 103.02890344, 108.98734382,\n", - " 94.25848311, 108.87676797, 85.56217265, 103.81148188,\n", - " 104.99981721, 108.30118816, 104.12524934, 107.19058398,\n", - " 109.27780078, 100.49128223, 137.58836309, 118.36241227,\n", - " 123.46404851, 102.51498174, 97.44309844, 96.48359866,\n", - " 96.79421895, 106.80596081, 107.83707584, 106.57950724,\n", - " 93.45789678, 107.90996698, 109.54324785, 78.8553792 ,\n", - " 126.73433428, 97.24623463, 98.70835586, 102.68140473,\n", - " 102.34796629, 70.83826303, 112.40643649, 109.12030118,\n", - " 117.44925863, 97.16376671, 98.24285766, 96.79058103,\n", - " 97.9580513 , 121.11169549, 116.25952264, 106.87061603,\n", - " 104.37957977, 106.09973035, 57.28627891, 107.37385092,\n", - " 106.01799188, 98.67590688, 99.00264304, 89.96037961,\n", - " 71.68477116, 99.23374802, 85.88079979, 88.19822385,\n", - " 105.19423991, 104.44175979, 106.5140291 , 99.8167689 ,\n", - " 100.5663114 , 106.64297916, 107.24127963, 72.53622138,\n", - " 106.58064569, 100.62389993, 106.2500412 , 91.37783583,\n", - " 113.47585098, 96.09199975, 102.13004143, 105.13802029,\n", - " 135.07542836, 96.25867614, 98.59387099, 107.86636482,\n", - " 97.76100158, 104.7959559 , 104.56908583, 108.72922563,\n", - " 122.51023487, 100.49520076, 105.09900293, 98.69563003,\n", - " 100.51548979, 97.8549116 , 100.59415816, 99.87387118,\n", - " 103.46832405, 107.99654667, 103.01070425, 103.56033622,\n", - " 107.96428236, 97.63304875, 103.59829339, 97.81274072,\n", - " 98.68180783, 122.07320233, 95.93101262, 103.32264486,\n", - " 107.12806037, 94.99180806, 74.72723323, 98.62045858,\n", - " 104.65611671, 102.33848021, 110.4834566 , 104.88139923,\n", - " 109.54351449, 76.18794331, 101.25153934, 105.05801512,\n", - " 108.42064838, 116.62902463, 86.56786482, 130.96285836,\n", - " 71.68869768, 81.43263587, 79.68700016, 122.95961535,\n", - " 101.02796451, 99.58727311, 103.25262142, 95.65888755,\n", - " 69.98667033, 69.58192486, 109.47684238, 106.72109874,\n", - " 99.83461891, 107.82615859, 103.04754924, 96.40386521,\n", - " 105.75317762, 124.04046378, 102.64517977, 109.54242396,\n", - " 109.54308537, 107.05527371, 98.31135595, 107.17659634,\n", - " 107.93271955, 99.14969716, 102.92617935, 106.00873635,\n", - " 109.67902646, 95.34005452, 96.77067033, 103.37320156,\n", - " 93.24077217, 96.02775776, 80.92336426, 100.16334068,\n", - " 100.13685998, 99.63164195, 108.4051884 , 108.40416572,\n", - " 76.72418267, 82.44082966, 96.69380234, 69.43973699,\n", - " 96.56860616, 112.94657357, 100.17177103, 98.6044038 ,\n", - " 106.19174914, 106.19129636, 107.19534846, 97.5312182 ,\n", - " 95.77268067, 109.18239011, 108.58517272, 78.44568658,\n", - " 72.99921602, 108.19697162, 107.49109006, 92.4471831 ,\n", - " 83.15772078, 106.76291449, 103.33807735, 93.06687201,\n", - " 111.67707429, 96.95750944, 102.51588834, 93.23055519,\n", - " 109.0564678 , 77.3992176 , 74.73472599, 100.35291465,\n", - " 85.25454937, 103.35806104, 101.01260543, 73.93047232,\n", - " 104.88433519, 89.48896184, 91.19876928, 104.36539543,\n", - " 96.23545532, 98.23801983, 104.95954048, 55.60488041,\n", - " 73.66299268, 109.50497048, 71.87946111, 78.3031597 ,\n", - " 69.76265064, 96.37816659, 74.28711873, 100.75408556,\n", - " 121.83245274, 84.49196208, 79.91641523, 74.16744505,\n", - " 98.73715736, 86.2071125 , 94.12150427, 82.88692616,\n", - " 108.08484294, 75.96333257, 97.97009328, 100.68988337,\n", - " 107.00817337, 105.97548945, 99.03302579, 86.16458322,\n", - " 109.54355996, 102.19361755, 103.56737155, 56.49469778,\n", - " 110.55329266, 78.11403739, 96.67791106, 96.92625252,\n", - " 77.71177683, 106.78292122, 85.88623661, 100.62404785,\n", - " 53.58398591, 106.67007425, 126.48987382, 99.10395935,\n", - " 80.76630153, 97.2762682 , 107.9410034 , 98.26921471,\n", - " 68.49676714, 83.154307 , 86.72778931, 90.98349734,\n", - " 100.93297074, 64.56467182, 102.64496108, 99.59283212,\n", - " 98.47489166, 92.84711284, 95.28657653, 99.40731513,\n", - " 100.44151372, 97.3639728 , 72.48042571, 96.38457639,\n", - " 109.27518186, 54.5963446 , 76.67735788, 98.26550555,\n", - " 96.82219882, 97.06274353, 78.60881573, 105.51735021,\n", - " 73.3694506 , 94.46785354, 98.23448637, 98.4288094 ,\n", - " 107.78320133, 80.41786995, 99.14701094, 64.03369192,\n", - " 83.05585233, 91.36190789, 67.69447343, 104.21047287,\n", - " 66.25932477, 72.93862797, 96.73484305, 68.34402137,\n", - " 104.83970803, 110.13338792, 105.47439641, 104.91898159,\n", - " 104.90552185, 107.17798328, 78.10041484, 109.42832988,\n", - " 95.03318801, 100.84024293, 105.50978325, 100.40075192,\n", - " 96.47015293, 99.67666537, 98.51041489, 96.22670731,\n", - " 101.20654898, 101.73733645, 93.25327884, 140.4832327 ,\n", - " 129.16711556, 63.20415539, 99.91947977, 133.86071842,\n", - " 95.2449 , 105.22850691, 109.54351392, 101.34396293,\n", - " 60.97982737, 139.87589612, 98.19693695, 53.89889725,\n", - " 101.85831627, 71.17109428, 100.8394287 , 96.22403831,\n", - " 104.18490148, 108.94251672, 110.82082309, 108.7757834 ,\n", - " 101.19314243, 96.68901197, 96.21438723, 106.13902993,\n", - " 98.64566962, 92.03938195, 101.8936136 , 98.05359932,\n", - " 96.66388529, 99.02780002, 97.22078662, 97.89872951,\n", - " 102.68621678, 100.62632777, 99.15104624, 99.18397395,\n", - " 108.45885055, 108.14417129, 101.95479776, 109.46894822,\n", - " 83.47654627, 133.83705257, 105.1223924 , 87.51609515,\n", - " 80.08447847, 97.97796567, 88.15409422, 52.78134756,\n", - " 107.27125942, 129.15987879, 97.06566097, 102.58039097,\n", - " 82.86391411, 97.42923128, 98.91487497, 95.67749187,\n", - " 105.15064661, 62.9280787 , 102.25948017, 107.97046303,\n", - " 62.88755437, 99.96009521, 97.69866111, 99.50103854,\n", - " -1.6634491 , 92.94688585, 67.81083375, 159.4014689 ,\n", - " 106.2500412 , -0.43039622, -0.7943338 , 110.27084311,\n", - " 88.56349801, 92.13582607, 116.68764199, 114.50252889,\n", - " 40.4179292 , 107.43989693, 77.70646569, 39.99 ,\n", - " 166.07302939, 125.93455257, 1.72776122, 108.84469042,\n", - " 167.02859953, 92.49880421, 145.99336492, 109.31168967,\n", - " 108.90051785, -0.45725927, 172.75592451, 48.3325261 ,\n", - " 74.26154233, 138.92908536, 119.94168192, 90.61044837,\n", - " 77.70646572, 73.03440171, 139.99 , 109.91858114,\n", - " 0. , 0. , 61.42574074, 77.8766074 ,\n", - " 46.194113 , 68.72059272, 37.78236533, 42.31905477,\n", - " 26.77547469, 34.56273819, 59.22846626, 56.406741 ,\n", - " 50.82314356, 52.39986335, 61.5603547 ]), array([102.0041272 , 133.36295138, 101.95424002, 75.53144927,\n", - " 108.58985254, 108.7053356 , 109.65170874, 106.8020852 ,\n", - " 89.7208227 , 57.60595163, 107.75516753, 109.07854444,\n", - " 119.45148658, 101.44159212, 101.63799477, 103.13825246,\n", - " 86.02798173, 88.51379741, 88.75470215, 99.83491934,\n", - " 103.72330439, 102.72742276, 99.36222269, 100.30848341,\n", - " 109.59012362, 108.21028415, 99.22250322, 97.45371698,\n", - " 70.93517478, 147.41817125, 96.37905284, 99.93113165,\n", - " 104.18538465, 66.50059274, 103.01137021, 72.6434089 ,\n", - " 92.55094824, 82.99283538, 49.04407891, 63.53923536,\n", - " 96.69364354, 99.04149582, 102.10045131, 97.9907272 ,\n", - " 109.44678065, 64.91845648, 106.64373465, 75.37985702,\n", - " 109.48988943, 141.38811867, 107.14028429, 106.3279212 ,\n", - " 103.22897555, 109.29074925, 74.81793619, 107.24657164,\n", - " 107.05510848, 97.56900664, 95.9333656 , 44.07075175,\n", - " 94.65081262, 89.22559264, 96.90198906, 96.82020746,\n", - " 84.59596604, 91.03041237, 89.01071464, 86.57961886,\n", - " 96.05149562, 377.96734489, 83.54605837, 91.38234638,\n", - " 101.7705637 , 102.30261278, 95.78361451, 96.68978911,\n", - " 48.41925724, 102.97807034, 99.70256459, 96.13613589,\n", - " 48.81302642, 86.05806932, 74.07269488, 102.98567353,\n", - " 105.06647051, 104.79445735, 97.31882854, 103.43549087,\n", - " 103.51486046, 54.12372338, 48.60526854, 100.62983528,\n", - " 82.19726924, 80.29694145, 84.42737387, 70.548766 ,\n", - " 108.79682911, 108.80653503, 60.86073003, 95.99382341,\n", - " 80.00153672, 108.54706836, 80.5161629 , 93.22811063,\n", - " 100.14956545, 99.69992703, 97.14331977, 105.77373026,\n", - " 105.91373171, 102.4534655 , 106.85173374, 102.56406243,\n", - " 124.40198886, 91.24935608, 80.32705449, 125.52830195,\n", - " 109.8755531 , 115.79877747, 108.85845926, 129.54625157,\n", - " 95.62871842, 89.71315332, 91.03353767, 96.27747875,\n", - " 99.58271317, 146.42181998, 74.14231886, 73.66515148,\n", - " 116.73682734, 115.98409406, 104.00071893, 96.53281222,\n", - " 106.21518181, 105.92107081, 101.68981485, 103.92119429,\n", - " 115.14088141, 107.61713671, 107.89922301, 107.90420747,\n", - " 93.23562595, 91.08773187, 99.53725108, 106.09357739,\n", - " 103.15531348, 107.47708768, 107.32020648, 99.3469419 ,\n", - " 96.09530363, 116.48488218, 102.39243426, 83.67239898,\n", - " 121.21059696, 140.55661315, 98.44183304, 102.3361821 ,\n", - " 97.21689437, 97.93722322, 105.79214473, 56.02338404,\n", - " 57.03319745, 108.37821644, 105.00341541, 100.58320791,\n", - " 106.92615787, 106.9236263 , 132.82538153, 115.02452251,\n", - " 97.13151374, 107.24421275, 96.40781944, 101.99911634,\n", - " 97.83149839, 85.81562818, 74.33298646, 108.45331541,\n", - " 109.18179485, 86.69699417, 86.60439879, 106.23274549,\n", - " 109.59398731, 95.5024016 , 103.79153506, 104.31483269,\n", - " 102.27158958, 64.15736118, 101.81109005, 96.48217906,\n", - " 92.01631994, 79.63781843, 72.6834219 , 101.24031109,\n", - " 65.14408956, 106.2283558 , 109.49194916, 108.59453956,\n", - " 99.07816878, 103.20699728, 137.65297506, 102.78736979,\n", - " 108.96702011, 138.62882735, 98.60169587, 103.40283468,\n", - " 132.72613599, 100.1069222 , 100.00297669, 96.59701432,\n", - " 107.00845306, 107.62029555, 108.16364362, 118.82440489,\n", - " 114.24427361, 121.95687146, 102.04744632, 82.68173502,\n", - " 109.59715386, 109.59718826, 116.24615261, 115.56211822,\n", - " 105.90813617, 76.91472555, 87.11041523, 96.44953866,\n", - " 105.19179296, 104.54642029, 86.74294037, 86.147407 ,\n", - " 97.22442389, 96.45247633, 100.38513218, 104.76316144,\n", - " 92.7616874 , 91.11227144, 109.49149952, 98.87608358,\n", - " 91.65697617, 98.5617827 , 104.31966006, 98.52974345,\n", - " 108.78002496, 107.3187911 , 95.71841424, 107.35878897,\n", - " 104.4999412 , 93.04914939, 74.29545348, 66.51779845,\n", - " 72.50020097, 97.92159035, 96.90185682, 145.51201979,\n", - " 72.78592324, 102.95859315, 106.20593234, 109.31310072,\n", - " 99.74369352, 108.01068127, 100.10715809, 75.3471292 ,\n", - " 76.8602871 , 92.06030988, 83.77196055, 89.53868091,\n", - " 101.38197883, 66.95482903, 78.49720919, 89.16363756,\n", - " 108.00956732, 131.21632698, 87.10738119, 92.81933282,\n", - " 104.90181806, 107.67492242, 107.46231466, 98.73074636,\n", - " 99.87959858, 95.66780579, 112.69567461, 109.76242437,\n", - " 83.31844425, 104.24113635, 103.94684706, 103.62769849,\n", - " 108.11792175, 86.86863081, 100.06326788, 86.45375419,\n", - " 74.55931198, 72.77966222, 144.30075438, 112.20692627,\n", - " 66.78906926, 68.73233659, 117.23488026, 105.16266394,\n", - " 84.50506791, 91.10490913, 69.78470016, 92.8025515 ,\n", - " 102.5910127 , 107.26714074, 94.37465418, 106.03557474,\n", - " 108.51506657, 105.17745097, 108.05171029, 105.87944389,\n", - " 79.20049468, 105.38058763, 99.76988772, 106.84241082,\n", - " 78.97281731, 78.5519926 , 137.0937333 , 137.32634364,\n", - " 105.1397644 , 72.4226242 , 100.01333493, 93.06509255,\n", - " 106.90914367, 100.29376467, 83.94505165, 82.60264768,\n", - " 96.59397676, 99.48388831, 99.04631663, 103.25179271,\n", - " 103.6442676 , 104.82913534, 104.8356748 , 112.90875397,\n", - " 98.89299767, 99.38811496, 90.42805065, 88.73571074,\n", - " 121.21735603, 117.95645993, 108.57058245, 102.1675698 ,\n", - " 100.13400395, 85.14302066, 119.1646113 , 92.98969573,\n", - " 101.99033301, 101.6700319 , 105.33314364, 107.23759004,\n", - " 92.39561981, 68.4289258 , 106.03732306, 106.25398689,\n", - " 91.70011278, 99.10948624, 100.47198258, 103.08630835,\n", - " 122.60056628, 117.66458307, 107.58685797, 97.2146989 ,\n", - " 102.16673337, 100.44707615, 106.59938688, 105.50890208,\n", - " 108.36782482, 123.57253714, 133.95430441, 109.35097774,\n", - " 109.50372694, 107.56142508, 106.81274022, 104.91579119,\n", - " 99.61405318, 107.46671544, 98.86837877, 95.9479587 ,\n", - " 103.56596738, 95.04026837, 80.12650081, 136.29752385,\n", - " 99.34599544, 117.37963726, 105.32506773, 107.96880465,\n", - " 94.89188363, 77.9786079 , 43.92181666, 100.46456757,\n", - " 104.65583476, 118.16079243, 106.31253731, 106.85491514,\n", - " 100.14156786, 64.17342405, 86.2976651 , 107.57671976,\n", - " 98.43614365, 62.94861998, 102.14373948, 108.5812961 ,\n", - " 107.90419721, 106.37066184, 66.64217223, 109.50398342,\n", - " 94.54243566, 99.65425058, 106.31138757, 109.29109249,\n", - " 107.74191282, 99.27945402, 99.24613411, 104.28919785,\n", - " 68.98333245, 137.88380854, 92.10295179, 83.48538939,\n", - " 109.519015 , 108.27375882, 71.64784968, 76.91150483,\n", - " 96.33202007, 105.53952435, 101.28428229, 100.07533032,\n", - " 100.08885596, 104.71019186, 97.391102 , 104.17085196,\n", - " 103.34752569, 77.65555987, 104.29023984, 76.4338533 ,\n", - " 106.6157438 , 89.19692902, 78.3112353 , 107.5789525 ,\n", - " 102.4332285 , 82.54899978, 108.15255989, 86.78493572,\n", - " 120.08541077, 122.0583213 , 95.8651819 , 99.90196951,\n", - " 99.03758083, 108.165227 , 95.30778 , 108.46367195,\n", - " 104.84923409, 104.26932965, 96.62874188, 114.19365474,\n", - " 60.96034254, 62.28277767, 85.26013232, 108.04888576,\n", - " 93.72452917, 60.16204785, 66.02670192, 107.98540286,\n", - " 109.06948601, 103.64708814, 94.59105862, 47.58246844,\n", - " 105.75806499, 96.43178581, 109.18068998, 96.63142618,\n", - " 102.96555096, 104.24595474, 99.46821639, 107.8397236 ,\n", - " 92.68862898, 82.06750647, 106.58785611, 100.56433815,\n", - " 109.22899504, 122.40276941, 101.03443206, 108.82100567,\n", - " 74.14507894, 61.19796199, 108.5435012 , 107.5822644 ,\n", - " 106.60348688, 107.08990627, 104.35870969, 134.93237803,\n", - " 97.16020506, 105.42825971, 106.11392594, 117.2041898 ,\n", - " 109.16211292, 107.30785923, 96.7877239 , 69.71322544,\n", - " 69.93122799, 102.03028353, 97.63491823, 109.66314987,\n", - " 104.9007401 , 53.48936983, 53.74592846, 78.02254979,\n", - " 109.09366668, 107.45115111, 80.6195153 , 105.30496029,\n", - " 108.67147363, 106.33899525, 92.14709844, 86.36921284,\n", - " 102.14290698, 108.11400975, 108.5076376 , 107.69112817,\n", - " 107.51690137, 98.39980514, 103.02142292, 108.97637784,\n", - " 94.2431694 , 108.72959348, 85.49455647, 103.80006082,\n", - " 104.98743829, 101.73038231, 104.11090519, 107.18727437,\n", - " 108.82575589, 100.48536955, 137.5862218 , 118.32664443,\n", - " 123.46404851, 102.51498174, 96.66677941, 95.73283559,\n", - " 96.75692996, 106.79512332, 107.82616457, 106.56867232,\n", - " 93.3107268 , 107.89904862, 109.50347342, 78.78776302,\n", - " 126.72685443, 97.23110738, 98.70276665, 102.62509532,\n", - " 102.30298775, 70.55075792, 112.40643649, 109.06483872,\n", - " 117.19722947, 96.78969068, 98.18179107, 96.7792288 ,\n", - " 97.94670068, 120.85966631, 116.11234849, 106.86506834,\n", - " 104.36578775, 106.0442679 , 57.27088867, 107.31478556,\n", - " 106.00524045, 98.66342799, 98.94428145, 89.66734312,\n", - " 71.39173467, 99.22244043, 85.60979717, 88.19074399,\n", - " 105.1379305 , 104.38545454, 106.47430491, 99.54023599,\n", - " 100.28977849, 105.55755502, 106.15585549, 72.52874152,\n", - " 105.40860753, 99.45186177, 106.20246182, 91.32152642,\n", - " 113.44008313, 96.0562319 , 102.07244294, 103.4068232 ,\n", - " 135.03966052, 96.2459898 , 98.58103602, 107.82009658,\n", - " 97.71473334, 104.78225861, 104.52150644, 108.71552835,\n", - " 122.47446702, 100.4943148 , 104.85626076, 98.68065408,\n", - " 100.50051385, 97.84066322, 100.59243273, 99.87214575,\n", - " 103.41072556, 107.990825 , 102.95310576, 103.28045668,\n", - " 107.69327975, 96.9865315 , 103.58571244, 97.79776478,\n", - " 98.66683188, 121.78912904, 95.87470321, 103.26633544,\n", - " 107.12182384, 94.93549864, 74.67092382, 98.56414917,\n", - " 104.64343372, 102.32579721, 110.47597675, 104.73422474,\n", - " 109.50379787, 76.11496027, 101.24545086, 105.01295427,\n", - " 108.3086035 , 116.62902463, 84.83666774, 130.96285836,\n", - " 71.5415277 , 81.42209512, 79.67645941, 122.95961535,\n", - " 101.02189064, 99.56103883, 103.24514157, 95.6514077 ,\n", - " 69.69363383, 69.28888837, 107.74564529, 106.68394807,\n", - " 99.82184791, 107.8135906 , 103.03786726, 96.25669499,\n", - " 105.482175 , 124.04046378, 102.5889913 , 109.50246754,\n", - " 109.50327549, 106.81227778, 98.29852122, 106.90559372,\n", - " 107.92190572, 99.13472122, 102.91326866, 105.98950774,\n", - " 109.66515227, 95.28374511, 96.73339348, 103.33604335,\n", - " 93.22544922, 96.01243481, 80.86705485, 100.15022899,\n", - " 100.12427808, 99.6202252 , 108.39443925, 108.1331631 ,\n", - " 76.36591187, 82.42570241, 96.54662785, 69.1467005 ,\n", - " 96.31657701, 112.65300657, 100.15895188, 98.3108368 ,\n", - " 106.14416976, 106.14371699, 106.92434585, 97.51742897,\n", - " 95.75839576, 109.14230385, 108.54508646, 78.43433748,\n", - " 72.98786691, 108.18435289, 107.47977282, 92.39087368,\n", - " 82.77955204, 106.74930219, 103.06322588, 93.01056259,\n", - " 111.67707429, 96.90119905, 102.27401106, 93.20432091,\n", - " 108.81347175, 69.35642406, 74.69827374, 100.34543479,\n", - " 85.19348277, 103.34956219, 101.00495741, 73.88289295,\n", - " 104.64159302, 89.46272756, 91.19876928, 103.41671441,\n", - " 96.22289279, 97.96701721, 104.95954048, 55.59643326,\n", - " 73.65037922, 109.44721749, 71.58642462, 78.29567984,\n", - " 69.7176721 , 94.6469695 , 72.55592165, 100.69777822,\n", - " 121.82497221, 84.4822801 , 79.90587448, 74.1599652 ,\n", - " 98.7241374 , 86.05993802, 94.06519486, 82.60153189,\n", - " 108.072277 , 75.95279182, 97.91378386, 100.54270889,\n", - " 106.76517744, 105.73249351, 99.02159156, 86.13834894,\n", - " 109.50385289, 102.17864161, 103.28460228, 56.48208486,\n", - " 110.51752482, 77.96686392, 96.66293512, 96.91127658,\n", - " 77.70209486, 106.77477064, 85.73906235, 100.62232242,\n", - " 53.43681233, 106.42707832, 126.48987382, 99.09280302,\n", - " 80.7536886 , 97.23595233, 107.9329236 , 98.23344686,\n", - " 68.4214397 , 83.12356026, 86.66017313, 90.96910695,\n", - " 100.91813201, 64.41749832, 102.41021375, 99.58155734,\n", - " 98.16899502, 92.79080343, 95.27909668, 99.39680855,\n", - " 100.40574588, 97.34899686, 72.4241163 , 96.37078717,\n", - " 109.26128451, 54.58195422, 76.31908709, 98.25032203,\n", - " 96.80917048, 97.04776759, 78.59620227, 105.24634759,\n", - " 73.22227611, 94.45253983, 98.22326889, 98.37249942,\n", - " 107.548454 , 80.40252568, 99.13182742, 63.95836448,\n", - " 83.04837248, 91.3055975 , 67.54729917, 104.00600191,\n", - " 66.20301535, 72.91936648, 96.69438709, 68.28565978,\n", - " 104.82909146, 109.87569317, 105.46105046, 104.91450911,\n", - " 104.84921452, 106.90698066, 77.72430026, 109.21455004,\n", - " 94.99273205, 100.69306845, 105.23878064, 100.34441598,\n", - " 96.43288231, 93.10585953, 98.47311599, 96.18940841,\n", - " 101.14895048, 101.7063182 , 93.22226059, 140.44056706,\n", - " 129.16711556, 63.12882795, 99.64847715, 133.85857714,\n", - " 95.2449 , 105.17090841, 109.5037973 , 101.29939103,\n", - " 60.96928662, 139.83323047, 91.11493098, 53.75172299,\n", - " 101.85170299, 71.13977332, 100.80736276, 96.21799441,\n", - " 104.17063401, 108.72089284, 110.82082309, 108.5009158 ,\n", - " 101.13554394, 90.11820612, 96.20012368, 106.11319386,\n", - " 98.58935922, 91.98307156, 101.74643963, 98.04714298,\n", - " 96.66388529, 98.97149017, 97.20971799, 97.88737888,\n", - " 102.64906946, 100.41224562, 99.11132205, 99.14424976,\n", - " 108.17889961, 108.0882503 , 101.9486151 , 109.45504932,\n", - " 83.47482084, 133.80128473, 105.08524509, 87.50348225,\n", - " 80.07186557, 97.93804139, 88.14661437, 52.63417308,\n", - " 107.26480398, 129.12411095, 97.02838412, 102.51793567,\n", - " 82.84893817, 97.41425533, 98.89989902, 95.03082817,\n", - " 105.14435577, 54.88528516, 102.24580643, 107.96238408,\n", - " 62.87461617, 99.90378579, 97.68353385, 99.48591128,\n", - " -1.6634491 , 92.89069738, 67.73356587, 159.33872777,\n", - " 106.20246182, -0.4303968 , -0.79433441, 110.06180227,\n", - " 88.51148015, 91.82804643, 115.99280198, 114.25050002,\n", - " 32.24169873, 107.29272296, 77.69898517, 39.99 ,\n", - " 165.94713119, 125.79512447, 1.72776122, 108.81786308,\n", - " 166.9035541 , 92.21733644, 145.95759708, 109.2983287 ,\n", - " 108.88664676, -0.45729101, 172.7450887 , 47.96073538,\n", - " 73.98764242, 138.78191121, 120.21090654, 90.46327849,\n", - " 77.69898519, 73.00595891, 139.99 , 109.8917538 ,\n", - " 0. , 0. , 61.38997291, 77.8680916 ,\n", - " 46.194113 , 68.68028241, 37.6351908 , 42.31905477,\n", - " 26.77547469, 34.49497672, 59.22615578, 56.4185647 ,\n", - " 50.82314356, 52.83407874, 60.75538528]), array([ 83.81684338, 133.1221629 , 100.23656062, 73.81376987,\n", - " 108.35270332, 108.43697461, 109.38392394, 106.60502421,\n", - " 89.35385807, 57.23532351, 107.37937551, 108.70445126,\n", - " 113.45619449, 101.24055496, 101.40197199, 102.90222968,\n", - " 83.98041876, 87.04867879, 88.48540489, 99.56562208,\n", - " 103.52545189, 102.53105126, 99.12540533, 100.22606718,\n", - " 109.2189065 , 107.84808208, 98.98541795, 97.1273732 ,\n", - " 70.60883099, 147.3339882 , 96.147908 , 99.60484893,\n", - " 103.85910539, 66.13675104, 101.83701416, 72.27956626,\n", - " 92.18711527, 82.62900241, 48.68024055, 63.17539502,\n", - " 95.76478089, 98.11263318, 100.90024267, 95.91338162,\n", - " 109.19482611, 64.96564264, 106.54765796, 75.22651444,\n", - " 109.23354077, 141.14733018, 106.93982822, 106.11894979,\n", - " 102.98122931, 109.03951187, 73.88907355, 106.31770899,\n", - " 106.12624584, 96.9380397 , 95.89360202, 43.43978481,\n", - " 94.31463867, 88.5502443 , 96.80578063, 96.72399903,\n", - " 84.23211776, 90.66656409, 88.9270196 , 86.49592382,\n", - " 95.68761316, 376.86246136, 83.18220496, 91.01851342,\n", - " 101.61885804, 102.15090712, 95.45727073, 96.59371242,\n", - " 48.32318055, 102.87836097, 99.60314209, 96.03992746,\n", - " 48.18206464, 85.42710231, 73.44172787, 102.83233095,\n", - " 104.74441785, 104.47768586, 96.9549413 , 103.32474263,\n", - " 103.40515167, 53.75988879, 48.24143145, 100.54734496,\n", - " 81.83341646, 79.93309316, 83.79640686, 69.91779899,\n", - " 108.54559173, 108.55529765, 60.77223125, 95.90532463,\n", - " 79.37056927, 108.54706836, 80.28501807, 93.22811063,\n", - " 99.7642721 , 99.31399906, 97.04711134, 105.66062519,\n", - " 105.660685 , 102.20615609, 106.73131714, 102.44364583,\n", - " 124.40198886, 84.34428839, 73.4219868 , 125.52830195,\n", - " 109.75513649, 115.64543444, 108.70511623, 129.54625157,\n", - " 95.62871842, 80.07754294, 81.4699311 , 87.68446147,\n", - " 90.98969589, 146.33763693, 73.5113536 , 73.03418622,\n", - " 109.15191439, 108.60332551, 103.07185629, 95.60394958,\n", - " 106.10049126, 105.80670275, 101.59360641, 103.82498586,\n", - " 98.15304767, 106.68827407, 107.66129642, 107.66514605,\n", - " 93.1616212 , 91.01372713, 99.44104264, 105.99736896,\n", - " 103.04580935, 107.12789141, 106.97526273, 82.35910817,\n", - " 96.01160859, 116.39346223, 102.30930533, 82.55008745,\n", - " 121.21059696, 140.31582466, 97.81087125, 102.21576549,\n", - " 97.0849499 , 97.80351106, 105.42994266, 55.39962647,\n", - " 56.34181898, 108.13650623, 104.90720698, 100.48699948,\n", - " 106.82994943, 106.82741787, 132.73539071, 114.93907534,\n", - " 97.00006323, 106.88201068, 95.22097071, 100.81226761,\n", - " 97.70169548, 85.4517949 , 73.96915318, 108.19534862,\n", - " 108.92985999, 86.33316384, 86.2405677 , 105.46480976,\n", - " 109.23178524, 94.29307707, 102.58620607, 103.98911512,\n", - " 101.9452492 , 63.58295232, 100.02913228, 94.70022129,\n", - " 90.42268234, 78.04418083, 72.4529805 , 100.9706069 ,\n", - " 64.91364816, 106.07819131, 109.34355895, 108.39747857,\n", - " 98.98010714, 103.10893565, 137.39164585, 102.53999079,\n", - " 108.7152447 , 138.38803886, 98.29884881, 102.22011273,\n", - " 132.57279294, 99.72413658, 99.61954783, 94.61219609,\n", - " 105.17567036, 107.368584 , 107.91203051, 111.72905817,\n", - " 106.96751659, 121.72572661, 99.64510455, 80.27939326,\n", - " 109.2209829 , 109.2212518 , 109.33044091, 108.62730278,\n", - " 104.43402919, 75.44061856, 86.74658274, 96.44953866,\n", - " 103.4098352 , 103.2924088 , 86.37910721, 85.78357367,\n", - " 96.86051347, 95.2431518 , 100.29751381, 104.67466266,\n", - " 92.7616874 , 91.11227144, 108.30440557, 98.67160689,\n", - " 90.15303489, 98.36537715, 103.94333124, 97.89878167,\n", - " 108.52108199, 107.1631906 , 95.56281374, 107.16099469,\n", - " 104.32551776, 93.04914939, 72.57777409, 65.01385717,\n", - " 70.78252157, 97.81260839, 96.74703349, 145.42783675,\n", - " 72.15495583, 101.22939108, 105.9687963 , 109.07517412,\n", - " 99.57935836, 107.64889243, 99.94282292, 75.02078541,\n", - " 76.53394332, 91.82916504, 83.54081571, 89.14678054,\n", - " 101.00641945, 65.23714963, 78.41651366, 89.08266995,\n", - " 107.7759327 , 131.13214393, 86.87693978, 92.58889142,\n", - " 104.57621051, 107.57871398, 107.36610623, 97.82428898,\n", - " 99.49601287, 94.45358621, 105.11076166, 102.17751142,\n", - " 81.72480665, 103.1425429 , 102.84838233, 103.52017709,\n", - " 108.01040036, 86.71303031, 99.6781086 , 86.29815369,\n", - " 74.19546684, 72.41581708, 144.18767862, 112.1002904 ,\n", - " 66.55862785, 68.50189519, 117.00373542, 104.9315191 ,\n", - " 83.59861054, 90.47394169, 68.87824278, 76.25966284,\n", - " 102.49329616, 107.1694242 , 92.97859705, 105.87997424,\n", - " 108.35946607, 105.08124253, 107.95550185, 105.64390872,\n", - " 78.56952723, 105.14540418, 99.50060635, 106.59066155,\n", - " 78.74237591, 78.3215512 , 136.94038996, 137.1730003 ,\n", - " 104.90564881, 71.51616683, 99.68699115, 92.83465115,\n", - " 106.81293524, 99.90783671, 73.85677459, 73.28598744,\n", - " 95.66511412, 99.38767987, 98.66090449, 103.17500632,\n", - " 103.41114888, 104.59426867, 104.60104866, 112.90875397,\n", - " 98.66255626, 99.15377775, 90.06421761, 88.37187771,\n", - " 121.21735603, 117.95645993, 108.32945369, 101.78215766,\n", - " 99.50304217, 84.51205888, 119.1646113 , 92.98969573,\n", - " 101.78751222, 101.46822392, 105.11007958, 99.85682149,\n", - " 92.29954312, 68.33284911, 105.28138008, 106.07879853,\n", - " 84.42335576, 98.91440762, 100.28900459, 102.83867472,\n", - " 122.60056628, 117.66458307, 107.37369329, 96.9842575 ,\n", - " 101.96329641, 100.24725021, 106.39866019, 105.2738977 ,\n", - " 108.12863877, 123.3413923 , 133.72315957, 108.15161541,\n", - " 108.31400111, 107.29556986, 106.54717848, 104.68075819,\n", - " 99.41562044, 107.10276253, 97.27474116, 95.85188201,\n", - " 103.20282629, 94.67644128, 79.89535596, 136.06637901,\n", - " 99.01964595, 109.79472431, 103.60551096, 107.76874523,\n", - " 87.98681594, 71.07354021, 43.82573998, 93.67130534,\n", - " 101.56059434, 117.92964758, 106.18468463, 106.72597958,\n", - " 98.88755637, 62.45386728, 85.04365361, 107.21451769,\n", - " 98.07394158, 62.31765473, 101.51277423, 108.48357955,\n", - " 107.52825151, 105.99471614, 66.2752076 , 108.31539999,\n", - " 94.21609188, 99.0232888 , 106.13733644, 109.02412689,\n", - " 105.91708304, 99.07141219, 99.0381173 , 97.19385112,\n", - " 68.61949917, 137.64302005, 91.19649442, 83.15904561,\n", - " 109.42000248, 108.17425022, 70.73446416, 76.07048968,\n", - " 95.94072043, 105.27147568, 100.95805188, 99.86695331,\n", - " 99.88073297, 104.33421796, 97.1546496 , 103.9450029 ,\n", - " 103.1262761 , 77.02459243, 104.19416315, 76.33777661,\n", - " 106.35160539, 82.29186133, 68.58774576, 107.34252702,\n", - " 100.65127074, 82.3124993 , 108.05635146, 85.14808782,\n", - " 119.93206774, 121.90497827, 95.79117716, 99.54233493,\n", - " 98.67954042, 106.97270529, 94.98143623, 107.27115024,\n", - " 104.52295279, 103.94304835, 96.43540338, 114.08057898,\n", - " 59.15739909, 60.47983423, 83.7950137 , 107.83572108,\n", - " 93.39818539, 58.44436845, 65.70035814, 107.88919443,\n", - " 107.87002011, 103.54143914, 94.49552908, 47.4869389 ,\n", - " 105.48904738, 96.15603433, 108.94263984, 96.33017806,\n", - " 102.82159553, 104.01255943, 99.23797855, 107.46378727,\n", - " 85.78356129, 75.16243878, 106.39004884, 100.38249993,\n", - " 108.99051347, 121.77180416, 99.42016297, 107.20673658,\n", - " 71.04983851, 58.10272157, 108.30237244, 107.47151616,\n", - " 106.33605179, 106.82247118, 96.53903093, 134.69158955,\n", - " 97.00151363, 97.77310893, 98.45877516, 117.11275066,\n", - " 109.06581489, 107.2115612 , 94.98478045, 62.80815775,\n", - " 63.0261603 , 101.75977235, 97.24950609, 109.39571478,\n", - " 104.57510709, 53.1255361 , 53.38209408, 77.65870466,\n", - " 108.85563832, 107.21525182, 80.53101652, 105.20644676,\n", - " 108.43473321, 106.24048172, 92.04858491, 86.00537959,\n", - " 101.79327504, 107.74267882, 108.13610037, 107.39620544,\n", - " 107.1739458 , 98.3035967 , 102.79027807, 108.74007345,\n", - " 93.85046926, 108.0986317 , 84.81920813, 103.53333408,\n", - " 104.68864919, 101.64668727, 103.74447493, 107.01398647,\n", - " 108.72984756, 100.28457407, 137.52005235, 118.1733014 ,\n", - " 123.46404851, 102.51498174, 96.57148794, 95.63749545,\n", - " 95.65238015, 106.5583504 , 107.58834114, 106.33186852,\n", - " 92.67975937, 107.66122286, 108.31259559, 78.11241468,\n", - " 126.49570958, 96.84529514, 98.50744645, 102.29875154,\n", - " 99.95889284, 63.75749569, 112.40643649, 107.34528196,\n", - " 111.2019286 , 87.42260642, 96.19697284, 96.54266481,\n", - " 97.71014701, 114.86436469, 115.48138157, 106.66475755,\n", - " 104.01945603, 104.32471113, 56.87052673, 105.48355858,\n", - " 105.73579664, 98.39240459, 97.13569753, 82.76227543,\n", - " 64.48666698, 98.98626724, 85.51358874, 87.95959915,\n", - " 104.81158672, 104.05923601, 105.28178319, 99.43073186,\n", - " 100.18027436, 105.45983848, 106.05813895, 72.29759668,\n", - " 105.31111035, 99.35436459, 104.72835484, 90.99518264,\n", - " 113.28673979, 95.90288856, 100.29048518, 103.31074651,\n", - " 134.88631749, 95.96452831, 98.31152922, 105.45054303,\n", - " 95.3451798 , 104.53102124, 103.04739931, 108.46429097,\n", - " 122.32112368, 100.35122337, 104.72716449, 98.29524194,\n", - " 100.11510171, 97.4804336 , 100.43683223, 99.71654525,\n", - " 101.6287678 , 107.79001002, 101.171148 , 103.17289356,\n", - " 107.59707131, 96.89100174, 103.22280785, 97.41235264,\n", - " 98.28141975, 114.90405796, 95.54835943, 102.93999166,\n", - " 106.91056038, 94.60915486, 74.34458004, 98.23780539,\n", - " 104.33446746, 102.01683095, 110.24483191, 104.10326295,\n", - " 108.31440046, 75.27394511, 101.04133693, 103.61682678,\n", - " 108.21008997, 116.62902463, 84.74059105, 130.96285836,\n", - " 70.91056027, 81.19165372, 79.44601801, 122.95961535,\n", - " 100.81804889, 98.63217618, 103.01399672, 95.42026286,\n", - " 62.78856614, 62.38382068, 107.6495686 , 105.58535462,\n", - " 99.55238944, 107.4510312 , 102.96108087, 95.62572759,\n", - " 105.38596657, 124.04046378, 100.85619913, 108.30689998,\n", - " 108.31148843, 106.68334215, 98.02891988, 106.80938529,\n", - " 107.68427932, 98.74930908, 102.66567214, 105.42948957,\n", - " 109.41320058, 94.95740133, 95.62925134, 102.23712889,\n", - " 92.83272535, 95.61971094, 80.54071107, 99.84748088,\n", - " 99.84785088, 99.38320634, 108.15713579, 108.03695467,\n", - " 67.77289459, 82.03989017, 95.91566606, 62.24163281,\n", - " 90.32127614, 105.51129645, 99.78612038, 91.16912668,\n", - " 104.67006278, 104.66961001, 106.82813741, 97.18126673,\n", - " 95.39681509, 107.94325071, 107.34603332, 78.19782856,\n", - " 72.75135799, 107.82038646, 107.21682314, 92.06452991,\n", - " 73.14394166, 106.49763712, 102.95274803, 92.68421881,\n", - " 111.67707429, 96.57482563, 102.14442759, 92.27545827,\n", - " 108.68453619, 69.276238 , 72.65071077, 100.11428995,\n", - " 83.20866454, 103.12960668, 100.79273548, 72.40878597,\n", - " 104.51249675, 88.53386491, 91.19876928, 103.31865278,\n", - " 95.94744454, 97.87080878, 104.95954048, 55.49969054,\n", - " 73.28653408, 107.66262438, 64.68135693, 78.064535 ,\n", - " 67.37357719, 94.55089282, 72.45984496, 100.37149692,\n", - " 121.59382737, 84.40549371, 79.67543308, 73.92882036,\n", - " 98.42631749, 85.42897623, 93.73885108, 75.68582019,\n", - " 107.70977185, 75.72235042, 97.58744008, 99.9117471 ,\n", - " 106.63624181, 105.60355789, 98.78439545, 85.2094863 ,\n", - " 108.31469755, 101.79322947, 103.17871484, 56.11825158,\n", - " 110.36418148, 77.33589692, 96.27752298, 96.52586444,\n", - " 77.62530846, 106.55127567, 85.10809709, 100.46672192,\n", - " 52.80584534, 106.29814269, 126.48987382, 98.85779548,\n", - " 80.38985518, 96.03062334, 107.7089672 , 98.08010352,\n", - " 67.50805419, 81.72750314, 85.98482479, 90.60389664,\n", - " 100.5345463 , 63.78653132, 102.27650159, 99.34564339,\n", - " 90.98181561, 92.46445965, 95.04795184, 99.16657071,\n", - " 100.25240242, 96.96358472, 72.09777252, 96.03462492,\n", - " 108.88528341, 54.21674391, 67.7260698 , 97.86316045,\n", - " 96.51095114, 96.66235545, 78.23235713, 105.15013916,\n", - " 72.59131433, 94.05983969, 97.98779356, 98.04613874,\n", - " 107.41474184, 80.00684415, 98.74466583, 63.04497897,\n", - " 82.81722764, 90.97922408, 66.91633391, 103.85429625,\n", - " 65.87667157, 72.39653801, 95.48506256, 66.47707585,\n", - " 104.59446022, 109.75527289, 105.19361537, 104.73153112,\n", - " 104.52293322, 106.81077223, 68.1606937 , 109.11825158,\n", - " 93.78340752, 100.06210666, 105.1425722 , 98.60851999,\n", - " 95.32890838, 93.02216448, 97.36823246, 95.08452488,\n", - " 99.36699272, 100.79437657, 92.31031896, 140.19977857,\n", - " 129.16711556, 62.21544244, 99.55226872, 133.79240768,\n", - " 95.2449 , 103.38895065, 108.31439989, 101.20282792,\n", - " 60.73884522, 139.59244199, 91.03244066, 53.12075773,\n", - " 101.64298865, 70.23331594, 99.86348817, 96.01981264,\n", - " 103.80673807, 108.62188032, 110.82082309, 108.39950485,\n", - " 99.35358618, 90.03451108, 95.83925727, 105.35725088,\n", - " 98.2629858 , 91.65669814, 101.11547269, 97.84551383,\n", - " 96.66388529, 98.64513329, 96.97538078, 97.65082521,\n", - " 101.55060473, 100.31594759, 97.91880034, 97.95172805,\n", - " 108.07137822, 106.36646635, 101.74275932, 109.07900146,\n", - " 83.31922034, 133.6479417 , 103.98678035, 87.13964928,\n", - " 79.7080326 , 96.73783276, 87.91546953, 52.00321129,\n", - " 107.04846959, 128.97076792, 95.92424198, 102.27062625,\n", - " 82.46352603, 97.02884319, 98.51448689, 94.93529864,\n", - " 104.93481284, 54.8050991 , 101.90711698, 107.73842211,\n", - " 62.9217612 , 99.57744202, 97.29772161, 99.10009905,\n", - " -1.6634491 , 91.15790521, 66.76027533, 158.58777309,\n", - " 104.72835484, -0.43040808, -0.79434555, 109.91366458,\n", - " 86.92401192, 84.28653137, 99.08239712, 108.25520793,\n", - " 32.16186655, 106.66175602, 77.46784032, 39.99 ,\n", - " 163.50407254, 121.12677232, 1.72776122, 105.47645087,\n", - " 164.48682234, 85.39593033, 145.80425362, 109.04219429,\n", - " 108.63475148, -0.4573136 , 172.62905571, 38.50166119,\n", - " 62.8021643 , 138.15094429, 120.25730327, 89.83231105,\n", - " 77.46784035, 73.05314507, 139.99 , 106.55034159,\n", - " 0. , 0. , 61.2366304 , 77.83152307,\n", - " 46.194113 , 68.50603 , 37.00422973, 42.31905477,\n", - " 26.77547469, 34.5421877 , 59.12952667, 56.4543136 ,\n", - " 50.82314356, 54.36131205, 57.88636727]), array([102.15862922, 132.80399698, 101.53590413, 75.10409858,\n", - " 108.38084576, 108.49041039, 109.4367868 , 106.60601768,\n", - " 89.50962665, 57.39472452, 107.54531394, 108.86879802,\n", - " 117.34381948, 101.24298806, 101.42784764, 102.92810529,\n", - " 85.58065878, 88.09986409, 88.53971441, 99.61995894,\n", - " 103.52743861, 102.53168925, 99.15183199, 99.8790596 ,\n", - " 109.3815025 , 108.00214969, 99.01202978, 96.81596288,\n", - " 70.27210588, 147.10583356, 95.31256885, 99.32944974,\n", - " 103.58372653, 66.29213434, 102.78750207, 72.43495183,\n", - " 92.3113014 , 82.75304599, 48.83561645, 63.33077516,\n", - " 96.33937608, 98.68718297, 101.87629587, 97.75935477,\n", - " 109.230239 , 65.0395833 , 106.31573519, 74.94566702,\n", - " 109.27390343, 140.81409925, 106.94250858, 106.1290582 ,\n", - " 103.01458375, 109.07456114, 74.46241582, 106.89463285,\n", - " 106.7029866 , 94.64028531, 95.81233765, 41.14045383,\n", - " 94.03241869, 87.87904895, 96.22365842, 96.13820809,\n", - " 84.38751869, 90.82122256, 88.54781524, 86.0966939 ,\n", - " 95.84311996, 377.74413265, 83.33762787, 91.17387808,\n", - " 101.48732428, 102.01937336, 95.18115719, 96.36099407,\n", - " 48.09037967, 102.71781748, 99.43685899, 95.45685353,\n", - " 46.89112486, 82.53748588, 70.55205771, 102.55127325,\n", - " 104.48311721, 104.2333325 , 97.1104622 , 103.1677745 ,\n", - " 103.24775196, 53.91525826, 48.39680498, 100.20070249,\n", - " 81.98883674, 80.08849484, 80.93018131, 67.05154463,\n", - " 108.58064077, 108.59034669, 60.45881406, 95.59203807,\n", - " 73.90170069, 104.47650654, 79.27733557, 89.15701705,\n", - " 99.93827976, 99.48860887, 96.46340353, 105.50471335,\n", - " 105.59580643, 102.13720469, 106.5788049 , 102.29095631,\n", - " 120.83048153, 89.93894248, 79.02025537, 121.69044403,\n", - " 109.60263669, 115.0947177 , 108.15430691, 126.25191934,\n", - " 91.79062432, 88.57795742, 89.89066619, 95.07334286,\n", - " 98.39096943, 146.14459614, 70.99053602, 70.51296161,\n", - " 115.2853294 , 114.40692383, 103.64945127, 96.17865593,\n", - " 105.94529882, 105.65135946, 100.99059742, 103.23306591,\n", - " 115.25513451, 107.27150298, 107.69077778, 107.69590066,\n", - " 92.63912785, 90.48415141, 99.1986866 , 105.46722635,\n", - " 102.8878979 , 107.26657664, 107.10958862, 99.46119113,\n", - " 95.67153743, 115.86978677, 101.96614621, 83.44890994,\n", - " 117.50096304, 138.86711303, 93.20223717, 102.06179338,\n", - " 96.93929696, 97.65909925, 105.58389713, 55.80804745,\n", - " 56.81670408, 108.16989555, 104.66753669, 100.23085914,\n", - " 106.29266603, 106.28973413, 132.19383345, 114.38204596,\n", - " 96.8540743 , 107.03596406, 96.1833054 , 101.77460131,\n", - " 97.5546402 , 85.60716253, 74.12449049, 108.2382335 ,\n", - " 108.96661537, 86.48855456, 86.39595242, 105.91763208,\n", - " 109.38572312, 95.27758204, 103.56682061, 103.71874382,\n", - " 101.67444545, 63.94287212, 101.49002028, 96.16001069,\n", - " 91.78527343, 79.40677396, 72.46857654, 101.02953404,\n", - " 64.93573333, 105.94569619, 109.20995918, 108.39835222,\n", - " 98.78691919, 102.91574761, 137.09122673, 102.57314997,\n", - " 108.75167795, 136.94281642, 98.39032 , 103.17885001,\n", - " 132.05993708, 99.89598223, 99.79200698, 96.36460159,\n", - " 106.77401509, 107.40470536, 107.94807822, 117.16194737,\n", - " 112.6248268 , 121.5050524 , 101.56139495, 81.76137172,\n", - " 109.38729203, 109.38733125, 114.5930935 , 113.91087516,\n", - " 105.2005474 , 76.20304483, 86.90195647, 92.87499469,\n", - " 104.87054656, 103.86798053, 86.53447581, 85.93894151,\n", - " 97.01609245, 96.2276464 , 99.99165404, 104.37403822,\n", - " 88.72033593, 87.07605652, 109.26739008, 98.67530178,\n", - " 90.99902875, 98.36306864, 104.10903511, 93.32740169,\n", - " 108.56496014, 107.12673612, 95.52601256, 107.16227225,\n", - " 104.30620881, 88.99892611, 73.86806734, 65.8590048 ,\n", - " 72.07280735, 97.73196219, 96.70781049, 145.19967872,\n", - " 67.28534731, 102.56548131, 105.99770856, 109.10311004,\n", - " 99.55113664, 107.80257551, 99.91468541, 74.67566071,\n", - " 76.18877555, 90.98878979, 82.6999244 , 89.32730587,\n", - " 101.17084074, 66.52374233, 78.06169359, 88.72852452,\n", - " 107.81056016, 130.9045479 , 86.89910158, 92.61105602,\n", - " 104.30578573, 106.98897411, 106.77634779, 98.51060979,\n", - " 99.66860487, 95.44287822, 111.24099355, 108.29453513,\n", - " 83.08740015, 104.01798104, 103.72369317, 103.36192897,\n", - " 107.84335757, 86.67639028, 99.85200648, 86.26124086,\n", - " 74.35085854, 72.57120878, 143.90099714, 111.7352681 ,\n", - " 66.58078833, 68.52405622, 116.21125194, 104.10332201,\n", - " 84.2848413 , 85.48161459, 69.56299398, 92.82296996,\n", - " 102.29345674, 106.96958443, 93.96759106, 105.84352002,\n", - " 108.32301488, 104.84201431, 107.70886758, 105.67089302,\n", - " 73.11233464, 105.17204381, 99.55489954, 106.62687791,\n", - " 78.76448874, 78.34366343, 136.33614451, 136.5687024 ,\n", - " 104.93137573, 72.20239708, 99.40583748, 92.85681447,\n", - " 106.27296124, 100.08244651, 83.78804142, 82.43853981,\n", - " 96.23973549, 98.81813047, 98.83507243, 102.61714346,\n", - " 103.43637261, 104.62116561, 104.62773093, 108.88209399,\n", - " 98.68480499, 99.1785341 , 90.219583 , 88.52724308,\n", - " 117.50446043, 114.2433914 , 108.36228207, 101.95628079,\n", - " 95.10313179, 80.11006969, 115.11942343, 88.94141768,\n", - " 101.79169976, 101.47141517, 105.13012462, 105.65765889,\n", - " 92.0667231 , 68.1000284 , 105.82078707, 106.06019052,\n", - " 90.0802145 , 98.91114102, 100.27524888, 102.87196918,\n", - " 118.6396417 , 113.78530811, 107.38777909, 97.00647916,\n", - " 101.96809016, 100.24849222, 106.4015032 , 105.30036417,\n", - " 108.15677094, 122.69751713, 133.07203946, 109.12644243,\n", - " 109.27951824, 107.35210108, 106.60341651, 104.70725265,\n", - " 99.41551654, 107.25844873, 98.63733636, 95.61910556,\n", - " 103.35763003, 94.83182835, 78.74728744, 134.91766706,\n", - " 98.74905092, 115.92778449, 104.90908457, 107.77118183,\n", - " 93.66599661, 76.70086807, 43.59291803, 99.25027876,\n", - " 104.02106627, 116.83555298, 106.0363894 , 106.57821761,\n", - " 99.36416088, 63.7281249 , 85.51267105, 107.36848359,\n", - " 98.22790339, 59.78022756, 98.96830539, 108.28373975,\n", - " 107.69434002, 106.16080465, 66.42904927, 109.27981729,\n", - " 93.87975633, 97.29467054, 106.11769639, 109.07617838,\n", - " 107.4914449 , 99.07780501, 99.04448598, 102.61755394,\n", - " 68.77483613, 136.19646786, 91.88275444, 82.81554796,\n", - " 109.25958059, 108.01373655, 69.8032121 , 75.216654 ,\n", - " 96.12065384, 105.32474558, 100.68425578, 99.87367054,\n", - " 99.88720424, 104.49983233, 97.18080903, 103.96556939,\n", - " 103.14377138, 71.56641941, 103.96210611, 76.10571858,\n", - " 106.40647042, 87.88651305, 77.18741769, 107.37038261,\n", - " 102.11258456, 82.33868527, 107.84243257, 86.40164804,\n", - " 119.40033771, 121.37601107, 95.26050734, 99.69082624,\n", - " 98.82650976, 107.94114341, 94.62788232, 108.23958645,\n", - " 104.24743238, 103.66752493, 96.43038025, 113.7938929 ,\n", - " 60.64554116, 61.9663529 , 84.82930604, 107.84980688,\n", - " 93.04456044, 59.73251969, 65.31657141, 107.30015679,\n", - " 108.84494735, 103.38260042, 94.30130329, 47.29271261,\n", - " 105.54373284, 96.21923728, 108.97189121, 96.41997792,\n", - " 102.68468713, 104.03765397, 99.2601182 , 107.62986661,\n", - " 91.38221391, 80.77401671, 106.39030924, 100.36775059,\n", - " 109.01959388, 119.87905625, 100.53870952, 108.32528301,\n", - " 73.50517455, 60.55634042, 108.33520082, 107.31431598,\n", - " 106.38509152, 106.87151725, 103.12409431, 134.36911586,\n", - " 96.9657845 , 104.19633021, 104.88155985, 116.58933878,\n", - " 108.88972737, 107.03359784, 96.49396769, 68.42195766,\n", - " 68.63332196, 101.81320714, 97.42363128, 109.44631707,\n", - " 104.3046328 , 53.28090439, 53.53746325, 77.8140965 ,\n", - " 108.88333882, 107.24216347, 80.21605791, 105.04653169,\n", - " 108.46252559, 106.0805679 , 91.88882522, 86.16074728,\n", - " 101.93202848, 107.90440454, 108.2980597 , 107.48127655,\n", - " 107.30623439, 97.71379082, 101.69385414, 108.767469 ,\n", - " 94.03179227, 106.13484187, 84.14798908, 103.59068168,\n", - " 104.77749199, 101.26096909, 103.90006673, 106.99364974,\n", - " 108.53898631, 100.28663552, 137.45380975, 117.62255643,\n", - " 119.48114258, 98.52047381, 96.37310895, 95.43972561,\n", - " 96.53372262, 106.58675791, 107.61770712, 106.36032433,\n", - " 87.71043055, 107.69056394, 109.27922261, 77.4411952 ,\n", - " 125.80494891, 97.01530953, 98.50432779, 102.01702935,\n", - " 101.83219104, 69.23744343, 110.93774966, 108.65020576,\n", - " 115.22615869, 95.63870339, 97.94936864, 96.56889213,\n", - " 97.73636836, 118.90885243, 113.38527334, 106.66730053,\n", - " 104.15500636, 105.62860134, 57.05941256, 107.08012267,\n", - " 105.79123801, 98.45079634, 98.66134946, 88.3475092 ,\n", - " 70.05780415, 99.01224655, 84.92219497, 87.29902031,\n", - " 104.52723309, 103.78540909, 106.25021939, 99.27167417,\n", - " 100.02057575, 105.25999862, 105.85829906, 71.34805882,\n", - " 105.10717912, 99.15042008, 105.49476789, 90.71076994,\n", - " 112.58991196, 95.1858013 , 101.75027467, 103.07790074,\n", - " 134.37867697, 96.03349813, 98.36660449, 107.34420909,\n", - " 97.1602201 , 104.56566558, 103.83742362, 108.49925563,\n", - " 121.63799205, 100.30295576, 104.57921401, 98.46936181,\n", - " 100.28922154, 97.62952564, 100.4002983 , 99.68000936,\n", - " 103.08854236, 107.79404169, 102.63092071, 103.01461372,\n", - " 107.41631961, 96.69678946, 103.377438 , 97.58647295,\n", - " 98.45553962, 120.13460643, 95.26412072, 102.65809123,\n", - " 106.92290487, 94.32472691, 74.06015202, 97.95338108,\n", - " 104.43330213, 102.11566539, 109.55050741, 99.70883503,\n", - " 109.27960096, 74.42010798, 101.04651004, 104.3617363 ,\n", - " 108.05017611, 113.33424849, 84.50774516, 127.91611065,\n", - " 65.94086295, 81.2138155 , 79.46817979, 118.95773131,\n", - " 100.82296708, 99.20819491, 102.17808467, 94.58425834,\n", - " 68.3974863 , 67.99121968, 107.41988417, 106.46079218,\n", - " 99.60773231, 107.60541983, 102.41379004, 90.75679648,\n", - " 104.85473878, 120.20002008, 102.23123216, 109.27804949,\n", - " 109.27899179, 106.53557991, 98.08409095, 106.2688499 ,\n", - " 107.71372722, 98.92347196, 102.69894118, 105.77696444,\n", - " 109.44832503, 94.67306297, 96.51019217, 103.1128852 ,\n", - " 93.014066 , 95.80105159, 80.1954267 , 99.93807182,\n", - " 99.91173887, 99.40972378, 108.18639134, 107.823648 ,\n", - " 75.15488242, 82.20803068, 91.33996426, 67.83439213,\n", - " 94.34510688, 111.03161763, 99.95037475, 96.68912848,\n", - " 105.42725761, 105.42673323, 106.29056746, 97.30576997,\n", - " 95.54725474, 108.91777642, 108.32055903, 78.22401945,\n", - " 72.77753208, 107.97610701, 107.27054153, 91.77994688,\n", - " 81.64433906, 106.53327852, 102.79554674, 92.39979073,\n", - " 110.17423139, 96.30204739, 101.9971094 , 92.84928585,\n", - " 108.53677379, 68.92061065, 74.25093083, 99.27990964,\n", - " 84.96105178, 103.14581017, 100.80265408, 73.16595149,\n", - " 104.3642636 , 89.10769178, 87.16230945, 103.12546473,\n", - " 96.01033883, 97.65745816, 100.95764755, 55.34150265,\n", - " 73.44191903, 109.21324605, 70.13110291, 77.22362704,\n", - " 69.24482885, 94.31811542, 72.22705639, 100.09600942,\n", - " 120.35050346, 83.84680914, 79.69753045, 73.08781023,\n", - " 98.51185596, 81.02893483, 93.39310691, 80.94441595,\n", - " 107.86412332, 75.74444778, 97.28803984, 97.94676061,\n", - " 106.48847947, 105.45579554, 98.81108659, 85.78319441,\n", - " 109.27966511, 101.96734933, 103.01988853, 56.27358496,\n", - " 109.67047245, 74.50093649, 96.45142818, 96.69951884,\n", - " 77.05737454, 106.57192673, 82.61099987, 100.43019357,\n", - " 50.07579319, 106.14965479, 122.77870392, 98.88299625,\n", - " 80.54522311, 97.01098218, 107.730265 , 97.37139839,\n", - " 66.57673811, 82.70945587, 85.31359146, 90.75792813,\n", - " 100.7071383 , 60.98261975, 102.1320884 , 99.37144579,\n", - " 96.94048146, 92.13014279, 94.2189608 , 99.18871036,\n", - " 99.64279222, 97.13723237, 71.75027472, 96.15912816,\n", - " 109.05142615, 54.37077456, 75.11397339, 98.03899056,\n", - " 96.5968924 , 96.83600323, 78.38773631, 104.96938739,\n", - " 70.82854798, 94.24116268, 98.01330471, 97.773489 ,\n", - " 107.27032795, 80.19110665, 98.92049592, 62.11364941,\n", - " 81.9763057 , 90.70642392, 64.39537607, 103.72276251,\n", - " 65.51771757, 72.70576645, 96.46955707, 68.00272722,\n", - " 104.6211461 , 109.6027865 , 105.2411343 , 104.71777356,\n", - " 104.24740972, 106.27045618, 76.57600274, 108.94220145,\n", - " 94.76790215, 94.32994504, 104.90312751, 100.11122251,\n", - " 96.20968531, 92.64295748, 98.24990373, 95.96619616,\n", - " 100.82678219, 101.48671335, 93.0026557 , 138.753272 ,\n", - " 125.89867095, 61.2831219 , 99.30991236, 133.72530728,\n", - " 91.39138153, 104.84872335, 109.2796003 , 101.04112546,\n", - " 60.76100564, 138.1458221 , 90.6855268 , 50.62260421,\n", - " 101.65177929, 70.9190081 , 100.58714958, 96.01861114,\n", - " 103.95980915, 108.41549687, 107.10785591, 108.23802368,\n", - " 100.81339342, 89.64752586, 95.98899241, 105.89665787,\n", - " 97.989992 , 91.36555631, 98.78451772, 97.84700009,\n", - " 92.59064155, 98.37170179, 96.99891356, 97.67380502,\n", - " 102.42591545, 100.13646452, 98.88723612, 98.92016334,\n", - " 107.90339182, 107.85528765, 101.74956252, 109.24518999,\n", - " 83.27799131, 133.11764046, 104.86197981, 87.25478411,\n", - " 79.82212563, 97.71388594, 87.0743063 , 50.03705551,\n", - " 107.06545582, 128.44046612, 96.80518281, 102.20167408,\n", - " 82.63687574, 97.2029916 , 98.68813318, 94.7397388 ,\n", - " 104.94516088, 54.38605487, 102.03479824, 107.75972768,\n", - " 62.99556441, 99.21806264, 97.46812942, 99.27460117,\n", - " -1.6634491 , 92.53293824, 65.76905052, 158.68833945,\n", - " 105.49476789, -0.4304063 , -0.79434399, 109.78029297,\n", - " 88.12888582, 90.2879409 , 116.10452487, 112.14283292,\n", - " 31.80742218, 104.33080105, 76.45264916, 39.99 ,\n", - " 161.09986352, 124.22354339, 1.72776122, 107.78236803,\n", - " 162.10896999, 90.5743395 , 145.1961059 , 109.08252312,\n", - " 108.66986804, -0.45733402, 172.38265869, 46.78316009,\n", - " 73.86648643, 136.05483606, 120.32860498, 84.83998395,\n", - " 76.45264919, 72.93600033, 139.99 , 108.85625875,\n", - " 0. , 0. , 60.99072649, 77.76950925,\n", - " 46.194113 , 68.16712711, 35.99240463, 42.31905477,\n", - " 26.77547469, 34.61712041, 58.97143926, 56.24025612,\n", - " 50.82314356, 52.55156918, 60.94483272]), array([ 82.61635229, 132.52754703, 99.48784546, 73.05603991,\n", - " 107.99681953, 108.0732655 , 109.02031912, 106.26939068,\n", - " 88.97794887, 56.8589122 , 107.00332446, 108.32894035,\n", - " 110.73961106, 100.90247129, 101.04633414, 102.54659179,\n", - " 82.58948756, 86.03186376, 88.12135335, 99.20159788,\n", - " 103.18965294, 102.19570845, 98.76960393, 99.78610028,\n", - " 108.84448693, 107.47549476, 98.62956159, 96.34305355,\n", - " 69.79919655, 147.01700422, 95.03098306, 98.85663417,\n", - " 103.11091604, 65.7636219 , 101.35316018, 71.90643833,\n", - " 91.78279873, 82.22454332, 48.30710775, 62.80226424,\n", - " 95.04442751, 97.3922344 , 100.41332441, 95.33066383,\n", - " 108.83349887, 65.06034468, 106.20735766, 74.78255146,\n", - " 108.87202611, 140.5376493 , 106.60281209, 105.77731792,\n", - " 102.62181909, 108.67851518, 73.16746725, 105.59968428,\n", - " 105.40803803, 93.96910413, 95.75855428, 40.46927265,\n", - " 93.54750653, 86.98036395, 96.12239727, 96.03694694,\n", - " 83.85899886, 90.29270274, 88.45374195, 86.00262061,\n", - " 95.31456174, 376.38561029, 82.8091023 , 90.64537541,\n", - " 101.28399271, 101.81604179, 94.70824785, 96.25261654,\n", - " 47.98200214, 102.6047294 , 99.32414316, 95.35559238,\n", - " 46.21994979, 81.86630463, 69.88087647, 102.3881577 ,\n", - " 104.01549393, 103.77219964, 96.58189862, 103.03571468,\n", - " 103.11748539, 53.38675378, 47.86829769, 100.10767865,\n", - " 81.46031186, 79.55997501, 80.25900006, 66.38036339,\n", - " 108.1845948 , 108.19430072, 60.36018418, 95.49340818,\n", - " 73.23051905, 104.47650654, 78.99575423, 89.15701705,\n", - " 99.38602468, 98.93565627, 96.36214238, 105.36858263,\n", - " 105.21313163, 101.76467256, 106.43003598, 102.14218739,\n", - " 120.83048153, 82.25237678, 71.33368967, 121.69044403,\n", - " 109.45386777, 114.93160155, 107.99119077, 126.25191934,\n", - " 91.79062431, 78.17329354, 79.55377202, 85.65163914,\n", - " 88.9692657 , 146.0557668 , 70.31935683, 69.84178242,\n", - " 106.92616457, 106.2846725 , 102.3545027 , 94.88370736,\n", - " 105.80642897, 105.51304704, 100.88933628, 103.13180476,\n", - " 96.98503408, 105.97655441, 107.30557251, 107.30931889,\n", - " 92.55208528, 90.39710884, 99.09742546, 105.3659652 ,\n", - " 102.75800557, 106.75491464, 106.60268315, 81.1910907 ,\n", - " 95.57746414, 115.76743844, 101.87256607, 82.07088497,\n", - " 117.50096304, 138.59066307, 92.53106211, 101.91302446,\n", - " 96.77051718, 97.48723961, 105.05724221, 54.98894203,\n", - " 55.92200732, 107.78019562, 104.56627554, 100.12959799,\n", - " 106.19140489, 106.18847298, 132.09281141, 114.28513879,\n", - " 96.686154 , 106.50930913, 94.73306078, 100.32435669,\n", - " 97.38958411, 85.07865951, 73.59598747, 107.83371354,\n", - " 108.56947118, 85.96005486, 85.86745187, 104.83811374,\n", - " 108.85906819, 93.80251278, 102.0964831 , 103.24663075,\n", - " 101.20161353, 63.17893302, 99.37410879, 94.0440992 ,\n", - " 89.87486446, 77.49636499, 72.09148828, 100.60811713,\n", - " 64.55864508, 105.74509383, 109.01249889, 108.06172522,\n", - " 98.67596895, 102.80479737, 136.78049761, 102.18073381,\n", - " 108.35484842, 136.66636647, 97.93162982, 101.73516397,\n", - " 131.89682091, 99.3464279 , 99.24168856, 94.02936866,\n", - " 104.59305527, 107.00796107, 107.55143858, 109.37235137,\n", - " 104.62363211, 121.22346496, 98.01386223, 78.213839 ,\n", - " 108.8448777 , 108.84517977, 107.01201219, 106.30920112,\n", - " 103.43464714, 74.43714456, 86.37345433, 92.87499469,\n", - " 102.75463508, 102.36439372, 86.00597292, 85.41043843,\n", - " 96.48750284, 94.75257715, 99.89415267, 104.27540834,\n", - " 88.72033593, 87.07605652, 107.81863271, 98.33104824,\n", - " 89.19827244, 98.0294398 , 103.56713143, 92.65622662,\n", - " 108.15923957, 106.85005538, 95.24933182, 106.82513465,\n", - " 104.0021785 , 88.99892611, 71.82000868, 64.05824849,\n", - " 70.02474868, 97.52451647, 96.43397013, 145.11084938,\n", - " 66.61416571, 100.50561719, 105.61372507, 108.71790477,\n", - " 99.26186624, 107.27638985, 99.62541502, 74.20275138,\n", - " 75.71586622, 90.70720401, 82.41833861, 88.76752322,\n", - " 100.62952637, 64.47568367, 77.97023182, 88.63682646,\n", - " 107.42909822, 130.81571856, 86.52201332, 92.23396776,\n", - " 103.83380498, 106.88771296, 106.67508664, 97.37549272,\n", - " 99.11812034, 93.96200892, 102.88182872, 99.93537031,\n", - " 81.17699118, 102.66648666, 102.37234269, 103.23543129,\n", - " 107.71685989, 86.39970953, 99.29988868, 85.98456011,\n", - " 73.82234225, 72.04269248, 143.77865042, 111.61887811,\n", - " 66.20370008, 68.14696797, 115.92966616, 103.82173622,\n", - " 83.14972422, 84.81043295, 68.42787691, 75.0296344 ,\n", - " 102.18295406, 106.85908175, 92.00282474, 105.56683928,\n", - " 108.04633414, 104.74075316, 107.60760644, 105.28852138,\n", - " 72.44115301, 104.79009325, 99.13656842, 106.2300776 ,\n", - " 78.38740048, 77.96657518, 136.17302796, 136.40558585,\n", - " 104.55070161, 71.06728001, 98.93292814, 92.47972622,\n", - " 106.17170009, 99.52949391, 72.85181398, 72.32108902,\n", - " 94.94478692, 98.71686933, 98.28256258, 102.52733701,\n", - " 103.05687367, 104.23987277, 104.24649638, 108.88209399,\n", - " 98.30771674, 98.79839404, 89.69108025, 87.99874033,\n", - " 117.50446043, 114.2433914 , 107.97335326, 101.40377094,\n", - " 94.43195672, 79.43889462, 115.11942343, 88.94141768,\n", - " 101.44870599, 101.12982819, 104.76155316, 97.53540756,\n", - " 91.95834557, 67.99165087, 104.85295401, 105.75502486,\n", - " 82.07901981, 98.57915253, 99.96064172, 102.47931202,\n", - " 118.6396417 , 113.78530811, 107.03008347, 96.62939091,\n", - " 101.62424001, 99.90965631, 106.06137515, 104.91862072,\n", - " 107.77224472, 122.41593134, 132.79045368, 107.66316819,\n", - " 107.82764742, 106.93340692, 106.18505131, 104.32547989,\n", - " 99.07868817, 106.7298114 , 96.72692739, 95.51072803,\n", - " 102.82991392, 94.30333222, 78.46570622, 134.63608583,\n", - " 98.27612685, 107.56861966, 102.8589987 , 107.4319801 ,\n", - " 85.97943091, 69.01430238, 43.4845405 , 91.67341047,\n", - " 99.88799004, 116.55397175, 105.87472235, 106.41467573,\n", - " 97.86057406, 61.67803902, 84.00908423, 106.84182866,\n", - " 97.70124846, 59.10904837, 98.29712621, 108.17323707,\n", - " 107.15217818, 105.61864281, 65.89737149, 107.82929795,\n", - " 93.406847 , 96.62349547, 105.81419727, 108.66067451,\n", - " 105.32364651, 98.72886579, 98.69557358, 94.82795794,\n", - " 68.24633311, 135.9200179 , 90.74763736, 82.34263863,\n", - " 109.14727345, 107.90091313, 68.61424934, 74.11592963,\n", - " 95.56156368, 104.90787199, 100.21152341, 99.52437157,\n", - " 99.53817794, 103.95806374, 96.79894805, 103.59431996,\n", - " 102.77775017, 70.89523777, 103.85372858, 75.99734105,\n", - " 105.98969095, 80.19994735, 66.69871952, 106.98701229,\n", - " 99.99667308, 81.95675366, 107.74117143, 84.45925848,\n", - " 119.23722157, 121.21289493, 95.17346477, 99.16744241,\n", - " 98.30489599, 106.48664788, 94.15497299, 106.78509092,\n", - " 103.77461891, 103.19471146, 96.10104243, 113.67154619,\n", - " 58.50430447, 59.82511621, 82.76130571, 107.49211126,\n", - " 92.57165112, 57.68446103, 64.84366208, 107.19889564,\n", - " 107.38155053, 103.25931979, 94.2003403 , 47.19174962,\n", - " 105.12553551, 95.79248583, 108.58677462, 95.96316984,\n", - " 102.49496394, 103.65772347, 98.88322001, 107.08771528,\n", - " 83.69564822, 73.08745102, 106.05429683, 100.05478818,\n", - " 108.63437949, 119.20787706, 98.61213764, 106.39871114,\n", - " 69.37209832, 56.42326419, 107.94627201, 107.18225616,\n", - " 105.97001002, 106.45643575, 94.49376643, 134.0926659 ,\n", - " 96.68634328, 95.7371378 , 96.42236744, 116.48697262,\n", - " 108.78842632, 106.93229678, 94.352731 , 60.73539196,\n", - " 60.94675626, 101.39447076, 96.87112144, 109.03123557,\n", - " 103.83262094, 52.75240086, 53.008959 , 77.2855802 ,\n", - " 108.49965923, 106.86003803, 80.11742803, 104.93829389,\n", - " 108.07908141, 105.97233009, 91.78058741, 85.63224429,\n", - " 101.41986283, 107.3679799 , 107.76139495, 107.03015624,\n", - " 106.80155339, 97.61252967, 101.41227291, 108.38469492,\n", - " 93.47110052, 105.4636668 , 83.24930408, 103.17099974,\n", - " 104.32204812, 101.1668958 , 103.36915073, 106.69125066,\n", - " 108.43785801, 99.94640308, 137.37317173, 117.45944029,\n", - " 119.48114258, 98.52047381, 96.27225036, 95.33884574,\n", - " 95.17557364, 106.20305391, 107.23262734, 105.97659152,\n", - " 87.03924892, 107.30549818, 107.82598888, 76.5425102 ,\n", - " 125.52336312, 96.46246402, 98.17213565, 101.54412002,\n", - " 98.36415613, 61.66057515, 110.93774966, 106.60011989,\n", - " 108.62193987, 85.48044373, 95.61413571, 96.18686269,\n", - " 97.35434621, 112.30463273, 112.71409218, 106.32774554,\n", - " 103.64653604, 103.57851546, 56.49004482, 104.90057064,\n", - " 105.37239093, 98.02953132, 96.51327031, 80.6609435 ,\n", - " 62.37123846, 98.63059999, 84.82093382, 87.01743452,\n", - " 104.05432377, 103.31268883, 104.79572386, 99.14178183,\n", - " 99.89068342, 105.14949594, 105.74779638, 71.06647303,\n", - " 104.99696081, 99.04020178, 103.72886762, 90.23786061,\n", - " 112.42679542, 95.02268475, 99.63436319, 102.96952321,\n", - " 134.21556083, 95.60014403, 97.94778512, 103.83858608,\n", - " 93.65459709, 104.16961961, 102.07152316, 108.10320966,\n", - " 121.47487551, 100.04481459, 104.41561846, 97.91685196,\n", - " 99.73671169, 97.10546179, 100.12361756, 99.40332862,\n", - " 100.97263088, 107.45248241, 100.51500923, 102.88804977,\n", - " 107.31505846, 96.59582637, 102.84998962, 97.0339631 ,\n", - " 97.90302978, 112.58628786, 94.7912114 , 102.1851819 ,\n", - " 106.56788541, 93.85181758, 73.58724269, 97.48047175,\n", - " 103.9665047 , 101.64886796, 109.26892162, 99.03765996,\n", - " 107.82811871, 73.31938362, 100.70158816, 102.68968472,\n", - " 107.9419383 , 113.33424849, 84.39936763, 127.91611065,\n", - " 65.26968132, 80.83672725, 79.09109153, 118.95773131,\n", - " 100.47842955, 97.91324634, 101.89649888, 94.30267256,\n", - " 60.71092061, 60.30465398, 107.31150664, 105.1092978 ,\n", - " 99.18889124, 107.07836199, 102.32398359, 90.08561488,\n", - " 104.75347763, 120.20002008, 100.17434241, 107.81926705,\n", - " 107.82468234, 106.37203788, 97.6651621 , 106.16758876,\n", - " 107.32944461, 98.37096212, 102.30632202, 105.02851895,\n", - " 109.05167109, 94.20015364, 95.15249932, 101.76103216,\n", - " 92.45335398, 95.24033957, 79.72251737, 99.4801826 ,\n", - " 99.48420776, 99.02731008, 107.80245051, 107.72238685,\n", - " 65.73317869, 81.65518516, 90.6687892 , 60.14782644,\n", - " 87.74088807, 103.21296996, 99.41155526, 88.87048081,\n", - " 103.66135735, 103.66083297, 106.18930632, 96.80936549,\n", - " 95.02165763, 107.45486837, 106.85765097, 77.84207502,\n", - " 72.39558766, 107.44745449, 106.85508643, 91.30703756,\n", - " 71.23967518, 106.13667384, 102.66395942, 91.92688141,\n", - " 110.17423139, 95.82909571, 101.83244024, 91.55433728,\n", - " 108.37323191, 68.82959092, 71.25975961, 98.99832385,\n", - " 82.62581885, 102.78108747, 100.44814198, 71.40005123,\n", - " 104.20066805, 87.81274321, 87.16230945, 103.01451449,\n", - " 95.5839392 , 97.55619701, 100.95764754, 55.23965766,\n", - " 72.91340273, 107.08656486, 62.44453722, 76.94204126,\n", - " 65.77679394, 94.20973789, 72.11867887, 99.62319595,\n", - " 120.06892223, 83.75700269, 79.3204422 , 72.80622444,\n", - " 98.05961375, 80.35775976, 92.92019759, 73.36333464,\n", - " 107.33712683, 75.36735953, 96.81513051, 97.27558555,\n", - " 106.32493744, 105.2922535 , 98.42851182, 84.48824584,\n", - " 107.82846922, 101.41483948, 102.89620358, 55.74508194,\n", - " 109.50735591, 73.82975525, 95.89891834, 96.147009 ,\n", - " 76.96756809, 106.20276247, 81.93982068, 100.15351283,\n", - " 49.40461196, 105.98611276, 122.77870392, 98.50231143,\n", - " 80.01671992, 95.54064468, 107.3604799 , 97.20828185,\n", - " 65.38777535, 80.74468955, 84.41490645, 90.22823137,\n", - " 100.15665376, 60.31143851, 101.96022875, 98.99002288,\n", - " 88.96344637, 91.65723346, 93.93737502, 98.81181217,\n", - " 99.47967552, 96.58472252, 71.27736539, 95.66272368,\n", - " 108.50920221, 53.8410778 , 65.69226966, 97.48463052,\n", - " 96.14418847, 96.28349339, 77.85922002, 104.86812624,\n", - " 70.15737291, 93.68047093, 97.63223921, 97.30055327,\n", - " 107.0984683 , 79.62704183, 98.36613588, 60.92468665,\n", - " 81.69471991, 90.23347223, 63.72419688, 103.51943094,\n", - " 65.04480824, 71.99948931, 94.99448782, 65.85464807,\n", - " 104.23990567, 109.45401089, 104.8260528 , 104.40316641,\n", - " 103.77459625, 106.16919503, 66.23910858, 108.84090019,\n", - " 93.29283289, 93.65876998, 104.80186636, 98.03975596,\n", - " 94.85218097, 92.54888419, 96.89138137, 94.6076738 ,\n", - " 98.7108707 , 100.34420239, 91.86014474, 138.47682205,\n", - " 125.89867095, 60.09415914, 99.20865121, 133.64466926,\n", - " 91.39138153, 102.73281187, 107.82811806, 100.93970625,\n", - " 60.38391739, 137.86937214, 90.59250296, 49.95142502,\n", - " 101.30093062, 69.78389103, 99.40888542, 95.68271514,\n", - " 103.43172057, 108.30318973, 107.10785591, 108.12211548,\n", - " 98.69748193, 89.55345257, 95.46420099, 104.92882481,\n", - " 97.51704031, 90.89260462, 98.11333654, 97.50651152,\n", - " 92.59064155, 97.898772 , 96.61877351, 97.29178287,\n", - " 101.07456497, 100.03516346, 97.43274059, 97.46566781,\n", - " 107.77689413, 105.7998223 , 101.40218214, 108.70291363,\n", - " 83.00131057, 132.95452432, 103.51062933, 86.72628144,\n", - " 79.29362295, 96.25091448, 86.79272052, 49.36588044,\n", - " 106.70330128, 128.27734997, 95.44748996, 101.82914195,\n", - " 82.08436589, 96.65048175, 98.13562334, 94.63877581,\n", - " 104.59300172, 54.29503513, 101.53513025, 107.38993521,\n", - " 63.01629033, 98.74515331, 96.9152839 , 98.72175566,\n", - " -1.6634491 , 90.47604849, 64.50708502, 157.86724249,\n", - " 103.72886762, -0.43042411, -0.79436165, 109.58317136,\n", - " 86.2451933 , 82.04919061, 97.91655784, 105.5386245 ,\n", - " 31.71670764, 103.65961987, 76.17106794, 39.99 ,\n", - " 158.19136277, 119.08873001, 1.72776122, 104.11694969,\n", - " 159.23255227, 83.09238299, 145.0329892 , 108.68098421,\n", - " 108.27330358, -0.45736432, 172.25757229, 36.57230137,\n", - " 61.7663926 , 135.3836549 , 120.34868554, 84.16880231,\n", - " 76.17106796, 72.95676171, 139.99 , 105.19084041,\n", - " 0. , 0. , 60.82761101, 77.72065333,\n", - " 46.194113 , 67.97019297, 35.32123043, 42.31905477,\n", - " 26.77547469, 34.6378926 , 58.86999063, 56.24500021,\n", - " 50.82314356, 54.1840889 , 57.88626491]), array([102.38414585, 132.14444312, 101.17808061, 74.74236407,\n", - " 108.06424016, 108.17232274, 109.11869341, 106.2917277 ,\n", - " 89.1945191 , 57.0796712 , 107.23074888, 108.55424365,\n", - " 116.26091549, 100.92829138, 101.11086859, 102.61112622,\n", - " 85.13736801, 87.68611819, 88.22160484, 99.30186123,\n", - " 103.21319364, 102.21745497, 98.83479067, 99.52745263,\n", - " 109.06712851, 107.6877619 , 98.69496731, 96.31328589,\n", - " 69.7584463 , 146.88503057, 94.8305337 , 98.8424154 ,\n", - " 103.09670226, 65.97765471, 102.48317147, 72.12047281,\n", - " 91.98329063, 82.42497337, 48.52113494, 63.01629469,\n", - " 95.95885507, 98.30664226, 101.57228458, 97.46554861,\n", - " 108.91159366, 65.09854647, 105.98846759, 74.4596043 ,\n", - " 108.95544911, 140.14800958, 106.62795232, 105.81437968,\n", - " 102.69647846, 108.75600421, 74.08135124, 106.5151221 ,\n", - " 106.32339643, 92.14476435, 95.65539192, 38.64424887,\n", - " 93.53733711, 87.0400918 , 95.74127484, 95.65423287,\n", - " 84.07304409, 90.50642585, 88.17982018, 85.72001094,\n", - " 95.52867766, 377.4391546 , 83.02316077, 90.85939382,\n", - " 101.16730587, 101.69935495, 94.69379338, 96.03338132,\n", - " 47.76273111, 102.41433934, 99.13146097, 94.97405705,\n", - " 44.83240118, 79.78519212, 67.79974065, 102.06511931,\n", - " 104.00435989, 103.76461734, 96.79602411, 102.85982737,\n", - " 102.94018801, 53.60077545, 48.08232293, 99.84911442,\n", - " 81.67436874, 79.77402056, 78.18803541, 64.30938624,\n", - " 108.26208373, 108.27178965, 60.1101348 , 95.24341549,\n", - " 70.03042852, 102.71053113, 78.72053259, 87.39081095,\n", - " 99.62359637, 99.17393078, 95.98033206, 105.19592848,\n", - " 105.23733391, 101.78078101, 106.26746951, 101.979544 ,\n", - " 119.28101627, 89.2624889 , 78.34536989, 120.02542505,\n", - " 109.2913067 , 114.49157457, 107.55112363, 124.82270393,\n", - " 90.12550286, 88.01775261, 89.32456416, 94.475807 ,\n", - " 97.79880979, 145.93902697, 68.39824104, 67.92049004,\n", - " 114.55678543, 113.61196282, 103.27023169, 95.79818314,\n", - " 105.63595391, 105.34212666, 100.49915231, 102.74643168,\n", - " 115.42725068, 106.89472763, 107.37437112, 107.3795546 ,\n", - " 92.28328866, 90.1252396 , 98.86370742, 105.00739364,\n", - " 102.58023553, 106.95137318, 106.79427418, 99.63330562,\n", - " 95.32051994, 115.51119754, 101.61486059, 83.14415657,\n", - " 115.89157285, 137.71708241, 89.70416266, 101.74982463,\n", - " 96.6245459 , 97.34390046, 105.26946027, 55.4963915 ,\n", - " 56.50594392, 107.85357486, 104.33372269, 99.88989977,\n", - " 105.82973536, 105.82662977, 131.82773841, 114.00994092,\n", - " 96.5394524 , 106.72152672, 95.87938403, 101.47067951,\n", - " 97.24047133, 85.29267944, 73.80999424, 107.92000024,\n", - " 108.64829945, 86.17408267, 86.08147762, 105.55474649,\n", - " 109.07127905, 94.97390835, 103.26306144, 103.23417433,\n", - " 101.18934075, 63.63056266, 101.1612627 , 95.8307765 ,\n", - " 91.4871741 , 79.10867552, 72.14921426, 100.7128242 ,\n", - " 64.6191863 , 105.62628501, 108.89124797, 108.08401026,\n", - " 98.47254986, 102.60137824, 136.43015976, 102.25508787,\n", - " 108.43326092, 135.79429956, 98.07401114, 102.87463115,\n", - " 131.47321954, 99.58130355, 99.47732578, 96.07052715,\n", - " 106.47939599, 107.0862605 , 107.62963999, 116.31112182,\n", - " 111.80491392, 121.28968328, 101.10864808, 81.12020266,\n", - " 109.07273189, 109.07276803, 113.73359501, 113.05300743,\n", - " 104.74830619, 75.74902836, 86.58747633, 91.32421202,\n", - " 104.54171236, 103.45104576, 86.21999318, 85.62445848,\n", - " 96.70167033, 95.92396822, 99.64782155, 104.03090898,\n", - " 86.96703317, 85.32498219, 108.96324957, 98.36018393,\n", - " 90.56473714, 98.04831356, 103.79438374, 89.84548953,\n", - " 108.24674008, 106.81262644, 95.21175246, 106.84789671,\n", - " 103.99205098, 87.24177438, 73.50631746, 65.42434605,\n", - " 71.71105422, 97.41828722, 96.39362359, 144.97887426,\n", - " 63.67405795, 102.21597332, 105.68136533, 108.78603289,\n", - " 99.23694084, 107.48818771, 99.60052615, 74.15835705,\n", - " 75.6714532 , 90.50456978, 82.2154805 , 89.01264406,\n", - " 100.85599032, 66.160387 , 77.70992353, 88.37654824,\n", - " 107.49606216, 130.68398726, 86.58258779, 92.29454344,\n", - " 103.82125125, 106.50328568, 106.2906513 , 98.20270119,\n", - " 99.35392349, 95.13930887, 110.51106861, 107.55887995,\n", - " 82.78930186, 103.71292874, 103.41863928, 103.05519479,\n", - " 107.53280791, 86.36220009, 99.53732324, 85.94693232,\n", - " 74.03638118, 72.25673142, 143.64150302, 111.44290295,\n", - " 66.26427397, 68.2075421 , 115.74780933, 103.62438538,\n", - " 83.97689363, 81.81708551, 69.25440442, 92.93768855,\n", - " 101.97688463, 106.65301217, 93.55813926, 105.52941045,\n", - " 108.00890663, 104.50839209, 107.37203233, 105.35440126,\n", - " 69.246128 , 104.85555097, 99.23679205, 106.3084496 ,\n", - " 78.4479537 , 78.02712814, 135.70977837, 135.9423135 ,\n", - " 104.61490153, 71.8944492 , 98.91628705, 92.54030135,\n", - " 105.80886328, 99.76776843, 83.58757274, 82.22941933,\n", - " 95.85922584, 98.34120149, 98.52036465, 102.24529285,\n", - " 103.1200425 , 104.3048438 , 104.31139873, 107.13516498,\n", - " 98.36832892, 98.86170084, 89.90509904, 88.21275911,\n", - " 115.89365518, 112.63251113, 108.04596406, 101.64155357,\n", - " 91.69561012, 76.70164614, 113.36445628, 87.18510988,\n", - " 101.47700117, 101.15671764, 104.81470884, 104.86150008,\n", - " 91.73906623, 67.77237123, 105.51132248, 105.74603237,\n", - " 89.26010575, 98.59645694, 99.96075349, 102.55387705,\n", - " 116.92123139, 112.10232072, 107.0730628 , 96.68999134,\n", - " 101.65339097, 99.93379691, 106.08693426, 104.98387044,\n", - " 107.83956285, 122.29854685, 132.66992604, 108.8225566 ,\n", - " 108.97543136, 107.03569408, 106.28700352, 104.3907594 ,\n", - " 99.1008227 , 106.94405618, 98.33923881, 95.29146759,\n", - " 103.04318324, 94.51735612, 78.12957934, 134.29967981,\n", - " 98.2640832 , 115.19908657, 104.55193212, 107.45664561,\n", - " 93.0262141 , 76.03858971, 43.26526033, 98.61270528,\n", - " 103.5280051 , 116.24126096, 105.72276577, 106.26422743,\n", - " 98.90429009, 63.35825398, 85.04950868, 107.05405169,\n", - " 97.9134697 , 57.18072667, 96.36574954, 107.96716747,\n", - " 107.37977692, 105.84624155, 66.11310575, 108.97570706,\n", - " 93.36626576, 95.04606412, 105.80354164, 108.75807806,\n", - " 107.18952566, 98.76253599, 98.72921709, 101.76274297,\n", - " 68.46033973, 135.04737409, 91.57481947, 82.29895019,\n", - " 108.95619821, 107.71029166, 68.72844573, 74.21287609,\n", - " 95.80599656, 105.006698 , 100.19793171, 99.55840011,\n", - " 99.57193485, 104.18521143, 96.86379239, 103.64971323,\n", - " 102.82818684, 67.69978741, 103.63478025, 75.7783923 ,\n", - " 106.09004959, 87.21005844, 76.6356695 , 107.05389891,\n", - " 101.78401173, 82.0216596 , 107.51979059, 86.05625737,\n", - " 118.80543179, 120.78230378, 94.90112087, 99.37560516,\n", - " 98.51128462, 107.63704114, 94.10692173, 107.93548334,\n", - " 103.76034596, 103.1804372 , 96.11567471, 113.53439679,\n", - " 60.3177333 , 61.63784075, 84.40823129, 107.53509059,\n", - " 92.52356903, 59.36984052, 64.78249459, 106.81477302,\n", - " 108.5410637 , 103.07663053, 93.98873393, 46.98014303,\n", - " 105.22584664, 95.90207015, 108.65537319, 96.10361753,\n", - " 102.36702014, 103.72118922, 98.94366543, 107.31530339,\n", - " 90.70749506, 80.10490538, 106.07578431, 100.05327199,\n", - " 108.7028894 , 117.55924346, 100.15923691, 107.94581036,\n", - " 73.00988523, 60.06030611, 108.01888281, 107.00626818,\n", - " 106.06568435, 106.55211284, 102.50129455, 133.7076931 ,\n", - " 96.65155406, 103.57009272, 104.25513295, 116.2308605 ,\n", - " 108.58326793, 106.72632457, 96.17529008, 67.75381031,\n", - " 67.96229467, 101.49440008, 97.10890496, 109.1275878 ,\n", - " 103.82006375, 52.96642141, 53.22298039, 77.49961921,\n", - " 108.56633688, 106.92554205, 79.86670992, 104.74440477,\n", - " 108.14592918, 105.77844151, 91.5867657 , 85.84626422,\n", - " 101.61671729, 107.58985961, 107.98352652, 107.16525499,\n", - " 106.99086829, 97.22807375, 101.09855156, 108.45087755,\n", - " 93.71713983, 103.78420845, 83.30902165, 103.27426497,\n", - " 104.46151214, 100.89014806, 103.58513621, 106.67949874,\n", - " 108.22707806, 99.97191916, 137.390845 , 117.01940105,\n", - " 117.75319586, 96.78749368, 96.05926607, 95.12604254,\n", - " 96.22874025, 106.27035387, 107.30129504, 106.04392714,\n", - " 84.0558789 , 107.37414315, 108.97515941, 76.60222758,\n", - " 125.38563779, 96.69867634, 98.18962084, 101.52723228,\n", - " 101.38233598, 68.55690859, 110.30057353, 108.29363908,\n", - " 114.20251726, 95.06477134, 97.65528999, 96.25185666,\n", - " 97.41933399, 117.8939994 , 110.97723444, 106.35275141,\n", - " 103.83966621, 105.27158624, 56.74479991, 106.78532298,\n", - " 105.47347023, 98.13351706, 98.34685022, 87.6669687 ,\n", - " 69.37114798, 98.69525553, 84.43578901, 86.8928033 ,\n", - " 104.03629441, 103.2990793 , 105.94611628, 98.96351451,\n", - " 99.71213804, 104.94342632, 105.54172675, 70.81647962,\n", - " 104.78926426, 98.83249946, 105.04248105, 90.21980562,\n", - " 111.92337982, 94.51047978, 101.42104052, 102.7502327 ,\n", - " 133.79422206, 95.71645312, 98.04869265, 106.8936763 ,\n", - " 96.67557625, 104.24693297, 103.39538029, 108.18066198,\n", - " 120.97740188, 99.98895691, 104.26518945, 98.15463317,\n", - " 99.97449289, 97.31431713, 100.08615414, 99.36586435,\n", - " 102.75930173, 107.47965157, 102.30167929, 102.70784593,\n", - " 107.10806689, 96.38422537, 103.06301129, 97.2717445 ,\n", - " 98.14081099, 119.2730974 , 94.77323189, 102.16821684,\n", - " 106.60820934, 93.83375598, 73.56918106, 97.46241172,\n", - " 104.11745766, 101.79982082, 109.12965016, 96.30369187,\n", - " 108.9755073 , 73.41632944, 100.73177389, 103.9413002 ,\n", - " 107.7480497 , 111.90484049, 84.18007708, 126.59430747,\n", - " 62.28615142, 80.8973017 , 79.15166599, 117.22155113,\n", - " 100.50823262, 98.82829149, 101.69580097, 94.10193454,\n", - " 67.72722192, 67.32029536, 107.09358766, 106.15573962,\n", - " 99.28992797, 107.29102744, 102.04652601, 87.14580101,\n", - " 104.39443528, 118.53387928, 101.89033774, 108.9740833 ,\n", - " 108.97494734, 106.22158955, 97.76617955, 105.80450839,\n", - " 107.39742578, 98.60876199, 102.38085203, 105.46500547,\n", - " 109.12950598, 94.1821309 , 96.20520453, 102.80783671,\n", - " 92.69941406, 95.48639965, 79.67805377, 99.62151453,\n", - " 99.59458688, 99.09264678, 107.87011276, 107.50127162,\n", - " 74.55435585, 81.89058451, 87.85617711, 67.15711653,\n", - " 93.32129221, 110.19320186, 99.63604237, 95.85057415,\n", - " 104.97097153, 104.97041609, 105.82751247, 96.98997325,\n", - " 95.23206928, 108.61388393, 108.01666654, 77.90699226,\n", - " 72.46049761, 107.66172397, 106.95411416, 91.28890867,\n", - " 81.08412684, 106.21477037, 102.48765005, 91.90881975,\n", - " 109.52223697, 95.81611928, 101.6829512 , 92.46843182,\n", - " 108.22278342, 68.56941493, 73.8076314 , 98.79829047,\n", - " 84.66696942, 102.83022391, 100.48728906, 72.7096527 ,\n", - " 104.05011641, 88.72683744, 85.41112888, 102.81109535,\n", - " 95.69316448, 97.33506271, 99.2214635 , 55.04184541,\n", - " 73.12743875, 108.91782653, 69.39178229, 76.73917592,\n", - " 68.79408592, 93.99047705, 71.89941318, 99.60893728,\n", - " 119.69146969, 83.47460205, 79.38098872, 72.60331478,\n", - " 98.1951745 , 77.62135631, 92.87553451, 80.08315743,\n", - " 107.54973667, 75.42790604, 96.79057331, 95.59560803,\n", - " 106.17448907, 105.14180513, 98.49401611, 85.40228855,\n", - " 108.97556652, 101.65262069, 102.71379691, 55.95908701,\n", - " 109.00529338, 71.77235461, 96.13660642, 96.38458827,\n", - " 76.6811547 , 106.25655052, 80.02899574, 100.11605184,\n", - " 47.39272458, 105.83534961, 121.16864735, 98.56610482,\n", - " 80.23074009, 96.70711208, 107.41492938, 96.69971339,\n", - " 65.50194397, 82.29694928, 84.47461783, 90.44279506,\n", - " 100.39245692, 58.26750807, 101.81688901, 99.05447588,\n", - " 96.30564906, 91.61752801, 93.73967973, 98.87225759,\n", - " 99.01409861, 96.82229886, 71.23194152, 95.84333144,\n", - " 108.73686378, 54.05564112, 74.51601332, 97.72431785,\n", - " 96.28021925, 96.52106979, 78.07325353, 104.66113464,\n", - " 68.56512673, 93.92651023, 97.69637274, 97.28762291,\n", - " 106.95512825, 79.8764704 , 98.6058232 , 61.03884942,\n", - " 81.49184851, 90.22048629, 61.80302023, 103.40274412,\n", - " 64.9944142 , 72.39277415, 96.16587885, 67.68822774,\n", - " 104.30481362, 109.29146012, 104.92106735, 104.40327737,\n", - " 103.76032196, 105.80620981, 76.00754668, 108.635757 ,\n", - " 94.46422397, 90.34443855, 104.56941139, 99.8151509 ,\n", - " 95.90469556, 92.27496127, 97.94492567, 95.6612181 ,\n", - " 100.49754803, 101.17925179, 92.69519412, 137.60419803,\n", - " 124.48068664, 60.20789198, 98.97493304, 133.66197039,\n", - " 89.71956836, 104.51948192, 108.9755066 , 100.7402214 ,\n", - " 60.44449126, 136.99669896, 90.33382099, 48.04014182,\n", - " 101.33687712, 70.61082677, 100.28009896, 95.70373302,\n", - " 103.64482885, 108.0921745 , 105.49701961, 107.93323196,\n", - " 100.48416697, 89.27615514, 95.67379739, 105.58719327,\n", - " 97.50397036, 90.87166132, 96.27459304, 97.53199204,\n", - " 90.82350262, 97.88549767, 96.68154948, 97.35536434,\n", - " 102.1208615 , 99.82853193, 98.58313283, 98.61605984,\n", - " 107.59243278, 107.55902673, 101.43481537, 108.93062823,\n", - " 82.96181023, 132.52335442, 104.55687759, 86.92284651,\n", - " 79.48973606, 97.40987464, 86.58974443, 47.68539564,\n", - " 106.75070411, 127.84617982, 96.50019517, 101.84525007,\n", - " 82.32181298, 96.88827535, 98.3731991 , 94.42659067,\n", - " 104.63043715, 54.00734632, 101.71925055, 107.44439253,\n", - " 63.05439807, 98.69457472, 97.1516669 , 98.95991494,\n", - " -1.6634491 , 92.19204382, 64.6372786 , 158.01137582,\n", - " 105.04248105, -0.4304204 , -0.79435817, 109.46212926,\n", - " 87.78690764, 89.49699454, 116.27322107, 111.05992893,\n", - " 31.45734108, 101.82087637, 75.89258867, 39.99 ,\n", - " 158.67575611, 123.38803397, 1.72776122, 107.19425317,\n", - " 159.70991522, 89.71489748, 144.56804677, 108.76433668,\n", - " 108.35112084, -0.457383 , 172.14012476, 46.20001749,\n", - " 73.71448021, 133.64679716, 120.38508171, 81.17545487,\n", - " 75.8925887 , 72.91206287, 139.99 , 108.26814389,\n", - " 0. , 0. , 60.51982371, 77.62382413,\n", - " 46.194113 , 67.52521696, 34.05477231, 42.31905477,\n", - " 26.77547469, 34.67631036, 58.67193267, 55.92687907,\n", - " 50.82314356, 52.2201641 , 61.20529782]), array([ 99.19787167, 131.9283201 , 100.9032888 , 74.46757226,\n", - " 108.03247677, 108.13481487, 109.08127841, 106.26648146,\n", - " 89.13943607, 57.02396643, 107.17343556, 108.49720346,\n", - " 115.18463853, 100.90307002, 101.07898666, 102.57924429,\n", - " 84.8329769 , 87.46254557, 88.18396983, 99.26422622,\n", - " 103.18780315, 102.19230439, 98.80277064, 99.43673495,\n", - " 109.01056115, 107.63265608, 98.66290071, 96.25206928,\n", - " 69.69722969, 146.82709401, 94.79231218, 98.78121257,\n", - " 103.03550017, 65.92223601, 102.29854424, 72.0650539 ,\n", - " 91.92787389, 82.36955664, 48.46571698, 62.96087629,\n", - " 95.81613505, 98.16392224, 101.38392227, 97.15922462,\n", - " 108.87662549, 65.10800692, 105.88914969, 74.29215009,\n", - " 108.91975447, 139.93188656, 106.60255005, 105.78812712,\n", - " 102.66236558, 108.72118363, 73.93863122, 106.37240208,\n", - " 106.1806764 , 91.45573677, 95.60071737, 37.95522129,\n", - " 93.47448929, 86.92103299, 95.63797767, 95.55093571,\n", - " 84.01762393, 90.45100569, 88.0881292 , 85.62831996,\n", - " 95.47325017, 377.26317669, 82.96773948, 90.80397709,\n", - " 101.08632177, 101.61837085, 94.63257677, 95.93406342,\n", - " 47.66341321, 102.31300999, 99.03029062, 94.87075989,\n", - " 44.14337418, 79.09616442, 67.11071294, 101.8976651 ,\n", - " 103.94386478, 103.70500776, 96.7405956 , 102.76283418,\n", - " 102.84278489, 53.54535835, 48.02690526, 99.75834038,\n", - " 81.61894759, 79.7186004 , 77.49900771, 63.62035854,\n", - " 108.22726315, 108.23696907, 60.01496514, 95.14824582,\n", - " 69.3414001 , 102.71053113, 78.68231481, 87.39081095,\n", - " 99.56464776, 99.114856 , 95.87703489, 105.09986596,\n", - " 105.18843447, 101.7300689 , 106.17429644, 101.88637093,\n", - " 119.28101627, 88.04267823, 77.12555923, 120.02542505,\n", - " 109.19813363, 114.32412033, 107.38366939, 124.82270393,\n", - " 90.12550286, 86.44980562, 87.76830058, 92.98623653,\n", - " 96.30923931, 145.8810904 , 67.70921368, 67.23146268,\n", - " 113.2124197 , 112.3096817 , 103.12751166, 95.65546312,\n", - " 105.54051761, 105.24656291, 100.39585514, 102.64313451,\n", - " 112.51021016, 106.75200761, 107.34256997, 107.34756555,\n", - " 92.22516942, 90.06712036, 98.76041025, 104.90409647,\n", - " 102.4827465 , 106.89921163, 106.74295986, 96.7162651 ,\n", - " 95.22882897, 115.45152852, 101.5236005 , 82.96548485,\n", - " 115.89157285, 137.50095939, 89.01513566, 101.65665156,\n", - " 96.53594928, 97.2560084 , 105.21435445, 55.39930024,\n", - " 56.3978737 , 107.82110563, 104.23042553, 99.78660261,\n", - " 105.72643819, 105.7233326 , 131.76820541, 113.95082759,\n", - " 96.45065919, 106.6664209 , 95.69073691, 101.28203239,\n", - " 97.15102302, 85.23726263, 73.75457743, 107.88413295,\n", - " 108.61338942, 86.11866647, 86.02606127, 105.43757138,\n", - " 109.01617324, 94.7820961 , 103.07211007, 103.17306765,\n", - " 101.12813871, 63.54149009, 100.87694988, 95.54646367,\n", - " 91.23268674, 78.85418816, 72.11830238, 100.67525648,\n", - " 64.58827443, 105.54481234, 108.8092128 , 108.05876402,\n", - " 98.3721336 , 102.50096198, 136.21089878, 102.22104853,\n", - " 108.3983765 , 135.57817654, 98.03029686, 102.6887015 ,\n", - " 131.3057653 , 99.52270098, 99.41860074, 95.76907295,\n", - " 106.18691174, 107.05136925, 107.59476836, 115.0680661 ,\n", - " 110.52416983, 121.25146038, 100.76961985, 80.78117443,\n", - " 109.01535371, 109.01542955, 112.52731183, 111.84348628,\n", - " 104.51075729, 75.51147947, 86.53205969, 91.32421202,\n", - " 104.25739954, 103.2486864 , 86.1645764 , 85.56904166,\n", - " 96.64623682, 95.73215598, 99.55313143, 103.93573932,\n", - " 86.96703317, 85.32498219, 108.77641932, 98.33439019,\n", - " 90.3225645 , 98.02375058, 103.73702625, 89.15646253,\n", - " 108.21071536, 106.79088642, 95.19001244, 106.8228481 ,\n", - " 103.96866026, 87.24177438, 73.23152565, 65.18217342,\n", - " 71.43626241, 97.4019482 , 96.37298178, 144.92093769,\n", - " 62.9850296 , 101.93974546, 105.64962405, 108.75423175,\n", - " 99.21462343, 107.43315425, 99.57820874, 74.09714044,\n", - " 75.61023659, 90.46634827, 82.17725899, 88.95291821,\n", - " 100.79891985, 65.88559519, 77.62051378, 88.28693231,\n", - " 107.46489676, 130.62605069, 86.55167592, 92.26363157,\n", - " 103.76016241, 106.39998851, 106.18735413, 98.05978077,\n", - " 99.29517831, 94.94648141, 109.16670288, 106.21451422,\n", - " 82.5348145 , 103.5377963 , 103.24352505, 102.9569302 ,\n", - " 107.43454332, 86.34046007, 99.47839005, 85.9251923 ,\n", - " 73.98096172, 72.20131196, 143.5797853 , 111.3817957 ,\n", - " 66.2333621 , 68.17663023, 115.70958782, 103.58616386,\n", - " 83.83397321, 81.12805709, 69.111484 , 90.13300535,\n", - " 101.8766595 , 106.55278704, 93.34471614, 105.50767043,\n", - " 107.98716661, 104.40509493, 107.26873516, 105.32297445,\n", - " 68.55709958, 104.82417711, 99.19915973, 106.27355586,\n", - " 78.41704183, 77.99621627, 135.54232412, 135.77485925,\n", - " 104.5837002 , 71.75152877, 98.85507045, 92.50938948,\n", - " 105.70556611, 99.70869364, 82.49640581, 81.21222626,\n", - " 95.71650582, 98.23790433, 98.46140259, 102.18688602,\n", - " 103.08885386, 104.27343887, 104.28004807, 107.13516498,\n", - " 98.33741705, 98.83011194, 89.84968228, 88.15734236,\n", - " 115.89365518, 112.63251113, 108.01357491, 101.58259151,\n", - " 91.00658312, 76.01261914, 113.36445628, 87.18510988,\n", - " 101.45145459, 101.1313553 , 104.78589224, 103.55921896,\n", - " 91.63974833, 67.67305333, 105.39169449, 105.72259314,\n", - " 87.97936167, 98.57211256, 99.93747418, 102.51978678,\n", - " 116.92123139, 112.10232072, 107.04621626, 96.65907947,\n", - " 101.62773325, 99.90879829, 106.06156611, 104.95252963,\n", - " 107.80713208, 122.26032534, 132.63170452, 108.63292715,\n", - " 108.78799038, 106.99912037, 106.25048491, 104.35941203,\n", - " 99.07603198, 106.88861353, 98.08475145, 95.19214969,\n", - " 102.98789031, 94.4619408 , 78.09136166, 134.26146212,\n", - " 98.20286417, 113.85472085, 104.27688433, 107.43129453,\n", - " 91.80640343, 74.81877904, 43.16594243, 97.41413266,\n", - " 103.04876503, 116.20304327, 105.63254233, 106.17443269,\n", - " 98.70193073, 63.08320618, 84.84714932, 106.99894587,\n", - " 97.85836389, 56.49169931, 95.67672218, 107.86694234,\n", - " 107.32243688, 105.7889015 , 66.05802272, 108.78853054,\n", - " 93.30504916, 94.35703712, 105.78017803, 108.72079626,\n", - " 106.89927057, 98.73617663, 98.70286935, 100.51968725,\n", - " 68.40492292, 134.83125107, 91.43189904, 82.23773358,\n", - " 108.85480015, 107.60893346, 68.56996092, 74.0663749 ,\n", - " 95.74630744, 104.96924754, 100.13674126, 99.53188677,\n", - " 99.54553801, 104.12792189, 96.83183575, 103.62006248,\n", - " 102.79954505, 67.01075899, 103.53546235, 75.6790744 ,\n", - " 106.05379374, 85.99024777, 75.05102103, 107.02231432,\n", - " 101.49969891, 81.98969329, 107.41649342, 85.79174647,\n", - " 118.63797756, 120.61484954, 94.84300163, 99.32178984,\n", - " 98.45773894, 107.44973903, 94.04570513, 107.74818124,\n", - " 103.69914343, 103.11923468, 96.09148888, 113.47267907,\n", - " 60.0305226 , 61.35063005, 84.18465867, 107.50824404,\n", - " 92.46235243, 59.09504871, 64.72127798, 106.71147585,\n", - " 108.35141096, 102.97763075, 93.88612032, 46.87752942,\n", - " 105.18821885, 95.86325449, 108.6234998 , 96.06018914,\n", - " 102.28321485, 103.69006573, 98.91278907, 107.25796495,\n", - " 89.48768439, 78.88509472, 106.05072128, 100.03009354,\n", - " 108.67085294, 116.8702161 , 99.90061399, 107.68718744,\n", - " 72.53064515, 59.58106603, 107.98649366, 106.90927499,\n", - " 106.02833765, 106.51476613, 101.10888156, 133.49157008,\n", - " 96.63055024, 102.21114103, 102.89618125, 116.17118966,\n", - " 108.47987871, 106.62293536, 95.88807938, 66.53399964,\n", - " 66.742484 , 101.45659867, 97.0499429 , 109.0902411 ,\n", - " 103.75897068, 52.9110045 , 53.16756333, 77.44419974,\n", - " 108.53420341, 106.89395436, 79.77154026, 104.64216952,\n", - " 108.11425413, 105.67620626, 91.48453046, 85.79084742,\n", - " 101.56462152, 107.53329704, 107.92692844, 107.12326333,\n", - " 106.93995093, 97.12477658, 101.06033387, 108.41926723,\n", - " 93.65729583, 103.09518145, 83.18996285, 103.2375379 ,\n", - " 104.41879974, 100.79845709, 103.52970188, 106.6562143 ,\n", - " 108.12408653, 99.94684392, 137.37989708, 116.85194681,\n", - " 117.75319586, 96.78749368, 95.95689166, 95.02361945,\n", - " 96.05281315, 106.23868632, 107.26951123, 106.01225248,\n", - " 83.3668505 , 107.34235448, 108.78745264, 76.48316878,\n", - " 125.34741628, 96.63962372, 98.16521778, 101.46601567,\n", - " 101.04700708, 67.35833598, 110.30057353, 108.01859129,\n", - " 113.12623936, 93.52346499, 97.3538358 , 96.21987732,\n", - " 97.38735643, 116.81772141, 110.28820691, 106.32742699,\n", - " 103.7881533 , 104.99653844, 56.68405401, 106.49318711,\n", - " 105.43577591, 98.09557207, 98.05885537, 86.44715803,\n", - " 68.15133731, 98.66334746, 84.33249184, 86.85458178,\n", - " 103.9750778 , 103.23789036, 105.75881417, 98.86602548,\n", - " 99.61464901, 104.84320119, 105.44150162, 70.7782581 ,\n", - " 104.68916054, 98.73239574, 104.80493215, 90.15858901,\n", - " 111.75592556, 94.34302553, 101.1367277 , 102.6509148 ,\n", - " 133.62676782, 95.67657444, 98.01101776, 106.55737131,\n", - " 96.33927126, 104.21211239, 103.15783134, 108.1458414 ,\n", - " 120.80994762, 99.96864508, 104.17540193, 98.09567112,\n", - " 99.91553083, 97.26039721, 100.06441412, 99.34412433,\n", - " 102.47498891, 107.45407919, 102.01736646, 102.60959639,\n", - " 107.00476972, 96.28161153, 103.00776361, 97.21278245,\n", - " 98.08184893, 118.07201686, 94.71201529, 102.10700023,\n", - " 106.58155376, 93.77253937, 73.50796445, 97.40119511,\n", - " 104.07285352, 101.75521668, 109.09142864, 95.61466487,\n", - " 108.78814179, 73.26982826, 100.70623115, 103.71641061,\n", - " 107.64581446, 111.90484049, 84.08075918, 126.59430747,\n", - " 61.59712302, 80.86638983, 79.12075412, 117.22155113,\n", - " 100.48272785, 98.68557147, 101.65757946, 94.06371302,\n", - " 66.50741126, 66.10048469, 106.99426976, 105.98060718,\n", - " 99.2522377 , 107.23584653, 101.98811918, 86.45677266,\n", - " 104.29113811, 118.53387928, 101.61276813, 108.78529985,\n", - " 108.78703123, 106.13179485, 97.72849354, 105.70121122,\n", - " 107.36552128, 98.54979993, 102.34676899, 105.37734023,\n", - " 109.09446258, 94.1209143 , 96.02933957, 102.63266119,\n", - " 92.63956219, 95.42654778, 79.61683716, 99.57780695,\n", - " 99.55564827, 99.06058688, 107.83827976, 107.39797445,\n", - " 73.06478537, 81.8315319 , 87.16715011, 65.93730586,\n", - " 92.2450143 , 108.95415928, 99.57919559, 94.61153157,\n", - " 104.73342264, 104.7328672 , 105.7242153 , 96.94023006,\n", - " 95.17791429, 108.4243208 , 107.8271034 , 77.87502424,\n", - " 72.42852959, 107.60627841, 106.91807781, 91.22769207,\n", - " 79.51617985, 106.17987304, 102.39054874, 91.84760314,\n", - " 109.52223697, 95.75489656, 101.59341431, 92.3257118 ,\n", - " 108.13298868, 68.48039072, 73.50324029, 98.76006896,\n", - " 84.36551523, 102.8022782 , 100.46032675, 72.47210381,\n", - " 103.9603289 , 88.58411742, 85.41112888, 102.71067909,\n", - " 95.65440457, 97.23176555, 99.2214635 , 54.93820333,\n", - " 73.07201928, 108.63292778, 68.17197163, 76.7009544 ,\n", - " 68.45875703, 93.89115915, 71.80009528, 99.54773475,\n", - " 119.653252 , 83.41619522, 79.35007685, 72.56509327,\n", - " 98.1522959 , 76.93232931, 92.8143179 , 78.87687426,\n", - " 107.49456628, 75.39699417, 96.72935671, 94.90658104,\n", - " 106.08469437, 105.05201043, 98.46193025, 85.25956853,\n", - " 108.78825718, 101.59365864, 102.61488944, 55.9036702 ,\n", - " 108.83783912, 71.08332691, 96.07764436, 96.32562621,\n", - " 76.62274786, 106.22769604, 79.33996839, 100.09431182,\n", - " 46.70369691, 105.74555491, 121.16864735, 98.53439938,\n", - " 80.17532326, 96.51616071, 107.38603832, 96.53225913,\n", - " 65.34345915, 82.08352616, 84.35555902, 90.38801338,\n", - " 100.33371174, 57.57848038, 101.72899696, 99.02261286,\n", - " 95.03349544, 91.55631141, 93.70145821, 98.84138123,\n", - " 98.84664435, 96.76333681, 71.17072491, 95.79358825,\n", - " 108.67951431, 54.00085945, 73.02644284, 97.6650964 ,\n", - " 96.23726622, 96.46210774, 78.01783406, 104.55783748,\n", - " 67.87609973, 93.86666623, 97.66458598, 97.22640239,\n", - " 106.8672362 , 79.81626828, 98.54660175, 60.8803646 ,\n", - " 81.45362699, 90.15926357, 61.11399287, 103.32176002,\n", - " 64.93319759, 72.31208903, 95.9740666 , 67.40023289,\n", - " 104.27346217, 109.19828859, 104.88372064, 104.37999806,\n", - " 103.69911943, 105.70291264, 74.4512831 , 108.53236733,\n", - " 94.27241173, 89.65541156, 104.46611422, 99.53795119,\n", - " 95.72885981, 92.18327029, 97.76894777, 95.4852402 ,\n", - " 100.2132352 , 101.03426176, 92.55020409, 137.38807501,\n", - " 124.48068664, 60.04940717, 98.87163587, 133.65102247,\n", - " 89.71956836, 104.2351691 , 108.78814109, 100.6365596 ,\n", - " 60.41357939, 136.78057595, 90.24304695, 47.35111446,\n", - " 101.31056666, 70.46790635, 100.1299561 , 95.6788927 ,\n", - " 103.58988088, 107.99077644, 105.49701961, 107.83256711,\n", - " 100.19985415, 89.18446417, 95.61976585, 105.46756528,\n", - " 97.44274764, 90.8104386 , 95.58556545, 97.50664034,\n", - " 90.82350262, 97.82427802, 96.64996057, 97.32338678,\n", - " 101.94574728, 99.72514272, 98.39583073, 98.42875774,\n", - " 107.49416819, 107.2840712 , 101.40903105, 108.87327083,\n", - " 82.94007021, 132.35590018, 104.38176337, 86.86742978,\n", - " 79.43431932, 97.22151233, 86.55152292, 46.99636865,\n", - " 106.72354167, 127.67872558, 96.32433021, 101.79453795,\n", - " 82.26285092, 96.82931329, 98.31423704, 94.32397706,\n", - " 104.60408989, 53.91832211, 101.66909755, 107.41550106,\n", - " 63.06382767, 98.63335812, 97.09261428, 98.90086233,\n", - " -1.6634491 , 91.91447421, 64.46888198, 157.71582049,\n", - " 104.80493215, -0.43042198, -0.79435973, 109.38023575,\n", - " 87.52908319, 88.20078108, 113.37356548, 109.98365197,\n", - " 31.36858235, 101.13184878, 75.85437098, 39.99 ,\n", - " 158.28747216, 122.57804768, 1.72776122, 106.65055755,\n", - " 159.32598728, 88.52373734, 144.40059251, 108.7286722 ,\n", - " 108.31608537, -0.45739568, 172.07812618, 44.65317961,\n", - " 72.37696122, 132.95776963, 120.3939499 , 80.48642645,\n", - " 75.85437101, 72.92152333, 139.99 , 107.72444827,\n", - " 0. , 0. , 60.3523695 , 77.56974848,\n", - " 46.194113 , 67.3201083 , 33.36574539, 42.31905477,\n", - " 26.77547469, 34.68577562, 58.56820299, 55.92597658,\n", - " 50.82314356, 53.99751272, 57.88762712]), array([100.38224086, 131.65471192, 98.69284491, 72.25712838,\n", - " 107.79207917, 107.87951013, 108.82628637, 106.04475203,\n", - " 88.81441327, 56.69656632, 106.84062637, 108.16540266,\n", - " 93.19908084, 100.67992426, 100.84019081, 102.34044845,\n", - " 84.25261094, 86.99161443, 87.9282596 , 99.008516 ,\n", - " 102.96533931, 101.97079896, 98.56358489, 99.34726172,\n", - " 108.67955693, 107.30724454, 98.42358427, 95.89781245,\n", - " 69.34297286, 146.57169042, 94.48628385, 98.42706283,\n", - " 102.68135619, 65.59578815, 101.46416613, 71.73860544,\n", - " 91.60143163, 82.04311437, 48.13927125, 62.6344293 ,\n", - " 95.44364434, 97.79143153, 100.53548659, 95.88396982,\n", - " 108.63065929, 65.11672043, 105.78797589, 74.13184734,\n", - " 108.6718405 , 139.65827838, 106.3794387 , 105.55894244,\n", - " 102.41823462, 108.47553911, 73.56614051, 105.99991137,\n", - " 105.80818569, 107.79065339, 95.49956437, 54.29013792,\n", - " 93.10717837, 86.10381531, 95.53978668, 95.45274472,\n", - " 83.69117186, 90.12455362, 87.99770477, 85.53789553,\n", - " 95.14677635, 376.45116534, 82.64128414, 90.47753482,\n", - " 100.93125301, 101.46330209, 94.27831993, 95.83288961,\n", - " 47.5622394 , 102.20843761, 98.92598688, 94.7725689 ,\n", - " 45.60191403, 95.43108096, 83.44562949, 101.73736235,\n", - " 103.59537192, 103.36359014, 96.41411874, 102.64766415,\n", - " 102.72861716, 53.21891504, 47.70046034, 99.66881207,\n", - " 81.29249265, 79.39214833, 93.83392426, 79.95527509,\n", - " 107.98161864, 107.99132456, 59.92079943, 95.05408012,\n", - " 85.67631617, 102.71053113, 78.37628544, 87.39081095,\n", - " 99.22715948, 98.77698762, 95.77884391, 104.98242012,\n", - " 104.93257302, 101.47990315, 106.04978446, 101.76185895,\n", - " 119.28101627, 86.6282249 , 75.71110589, 120.02542505,\n", - " 109.07362165, 114.16381692, 107.22336598, 124.82270393,\n", - " 90.12550286, 84.93787983, 86.25266799, 91.43915696,\n", - " 94.76215974, 145.62568682, 78.01215004, 77.53439904,\n", - " 110.80459218, 109.18694358, 102.75502095, 95.28297241,\n", - " 105.42154043, 105.1278974 , 100.29766416, 102.54494353,\n", - " 113.46655881, 106.3795169 , 107.10126932, 107.10543725,\n", - " 91.93732533, 89.77927627, 98.66221927, 104.80590549,\n", - " 102.36878993, 106.58508455, 106.43184757, 97.67261374,\n", - " 95.13840454, 115.08442425, 101.43359717, 82.14206465,\n", - " 115.89157285, 137.22735121, 90.47367551, 101.53213958,\n", - " 96.40024083, 97.11857572, 104.88894291, 54.91171877,\n", - " 55.86765091, 107.57728024, 104.13223454, 99.68841162,\n", - " 105.6282472 , 105.62514162, 131.40829606, 113.61279981,\n", - " 96.31543186, 106.34100936, 94.8250689 , 100.41636438,\n", - " 97.01739876, 84.91082016, 73.42813497, 107.63462658,\n", - " 108.36728335, 85.79222588, 85.6996202 , 105.09411064,\n", - " 108.69076169, 93.90570734, 102.20152969, 102.81968532,\n", - " 100.77398604, 63.08502903, 91.19054668, 85.86006047,\n", - " 90.04601315, 77.66751456, 71.88194483, 100.4149469 ,\n", - " 64.35191687, 105.39127819, 108.65744546, 107.83703459,\n", - " 98.269104 , 102.39793238, 135.90270902, 101.97707764,\n", - " 108.15246366, 135.30456837, 97.74819909, 101.84906014,\n", - " 131.14546187, 99.18656085, 99.08209218, 94.45624699,\n", - " 104.8157861 , 106.80546331, 107.34890894, 110.93779276,\n", - " 107.03521589, 120.94543243, 100.13341648, 80.14497106,\n", - " 108.6822944 , 108.68252494, 107.78584473, 107.14189251,\n", - " 102.60191014, 73.60263231, 86.20561773, 91.32421202,\n", - " 94.57099633, 101.62292199, 85.83813401, 85.24259917,\n", - " 96.31974519, 94.85576721, 99.45977582, 103.84157361,\n", - " 86.96703317, 85.32498219, 107.93198366, 98.110496 ,\n", - " 88.37635075, 97.80437225, 103.40457332, 90.61500237,\n", - " 107.96064583, 106.60102995, 95.00015597, 106.6006538 ,\n", - " 103.76416147, 87.24177438, 71.02108176, 63.23595966,\n", - " 69.22581852, 97.24920217, 96.1849599 , 144.66553411,\n", - " 79.31994571, 99.71726271, 105.40886613, 108.5129311 ,\n", - " 99.01676024, 107.1079961 , 99.38034555, 73.74288361,\n", - " 75.25597976, 90.16031994, 81.87123065, 88.61141689,\n", - " 100.46780045, 63.6751513 , 77.53231878, 88.19853581,\n", - " 107.21924274, 130.37064711, 86.31531836, 92.02727402,\n", - " 103.40692329, 106.30179752, 106.08916315, 97.39394608,\n", - " 98.95858552, 94.06290228, 106.75887536, 103.8066867 ,\n", - " 81.34814091, 102.72988714, 102.43569994, 102.84486859,\n", - " 107.32248171, 86.1506036 , 99.14097101, 85.73533583,\n", - " 73.65451166, 71.8748619 , 143.1046306 , 110.93886664,\n", - " 65.99700454, 67.94027267, 115.40355948, 103.28013553,\n", - " 83.16813852, 97.46297316, 68.44564931, 90.90082096,\n", - " 101.77395283, 106.45008037, 92.88659287, 105.31781396,\n", - " 107.79731014, 104.30690394, 107.17054418, 105.08330168,\n", - " 84.89201565, 104.58473068, 98.94349106, 106.02762409,\n", - " 78.18068428, 77.75985872, 135.38202025, 135.61455538,\n", - " 104.34486189, 71.08569408, 98.50081361, 92.27303192,\n", - " 105.60737512, 99.37082526, 81.91740661, 80.56740933,\n", - " 95.34401511, 98.13971334, 98.12380851, 101.88327904,\n", - " 102.85063443, 104.03408113, 104.04074312, 107.13516498,\n", - " 98.1010595 , 98.59208561, 89.52323997, 87.83090004,\n", - " 115.89365518, 112.63251113, 107.77015868, 101.24499743,\n", - " 92.46512296, 77.47115899, 113.36445628, 87.18510988,\n", - " 101.22702151, 100.90765342, 104.55015401, 100.43648084,\n", - " 91.53857453, 67.57187953, 104.80843284, 105.5175042 ,\n", - " 84.49040773, 98.35342488, 99.72778402, 102.27570536,\n", - " 116.92123139, 112.10232072, 106.81396963, 96.42272192,\n", - " 101.40285487, 99.68652574, 105.83824774, 104.71319544,\n", - " 107.56671967, 121.954297 , 132.32567619, 107.77095192,\n", - " 107.93981148, 106.73978854, 105.99134904, 104.12006094,\n", - " 98.85481194, 106.56209484, 96.89807786, 95.09097589,\n", - " 102.6618814 , 94.13550234, 77.78533225, 133.95543271,\n", - " 97.84858921, 111.44689333, 102.06432865, 107.20836148,\n", - " 90.3919501 , 73.40432571, 43.06476862, 96.01906899,\n", - " 102.29315468, 115.89701386, 105.50081476, 106.04165675,\n", - " 97.07616632, 60.8706505 , 83.22138491, 106.67353433,\n", - " 97.53295234, 66.79463567, 105.97965854, 107.76423568,\n", - " 106.98952617, 105.4559908 , 65.73299991, 107.94197765,\n", - " 92.95079232, 95.81557697, 105.57596528, 108.46625018,\n", - " 104.56246248, 98.51028216, 98.47698455, 96.3894139 ,\n", - " 68.07848045, 134.5576429 , 90.76606435, 81.88347675,\n", - " 108.75054992, 107.50447718, 67.43715519, 73.02949634,\n", - " 95.40514895, 104.71398498, 99.78268728, 99.30586182,\n", - " 99.31961205, 103.79544645, 96.59284535, 103.38458615,\n", - " 102.56585268, 83.34567506, 103.43428854, 75.5779006 ,\n", - " 105.79556841, 84.57579444, 73.54449381, 106.7820979 ,\n", - " 91.81329571, 81.75066685, 107.31830243, 68.15841569,\n", - " 118.47767415, 120.45454613, 94.55515755, 99.00155923,\n", - " 98.13847945, 106.60516543, 93.6914483 , 106.90360764,\n", - " 103.34499607, 102.76508732, 95.87429189, 112.99752437,\n", - " 54.00028959, 55.32039704, 83.71372753, 107.27599742,\n", - " 92.1080956 , 56.88460482, 64.36702115, 106.61328486,\n", - " 107.48928702, 102.86736604, 93.78831337, 46.77972247,\n", - " 104.93191183, 95.60065374, 108.38236004, 95.77923918,\n", - " 102.13577997, 103.45166775, 98.67648728, 106.92506043,\n", - " 88.07323106, 77.47064138, 105.82953384, 99.82125936,\n", - " 108.42984359, 127.17315246, 97.82066051, 105.60723395,\n", - " 71.77503481, 58.82545569, 107.74307743, 106.79410496,\n", - " 105.7757162 , 106.26214469, 99.51593918, 133.21796191,\n", - " 96.43955312, 100.66614949, 101.35118971, 115.8039885 ,\n", - " 108.38163601, 106.52469265, 89.85784637, 65.11954631,\n", - " 65.32803067, 101.20272812, 96.71234882, 108.83761965,\n", - " 103.4056977 , 52.58456175, 52.84112016, 77.11774969,\n", - " 108.29408431, 106.65437317, 79.67737455, 104.54006729,\n", - " 107.87406679, 105.57410403, 91.38242823, 85.46440497,\n", - " 101.25071464, 107.20318144, 107.59663869, 106.84494758,\n", - " 106.63024866, 97.02658559, 100.75430446, 108.17934503,\n", - " 93.3152786 , 104.5537213 , 82.37274516, 102.97766346,\n", - " 104.13797718, 100.70803266, 103.20425708, 106.45259931,\n", - " 108.02606727, 99.72386685, 137.29225026, 116.6916434 ,\n", - " 117.75319586, 96.78749368, 95.85921908, 94.92591953,\n", - " 95.24102016, 105.99818276, 107.0282862 , 105.77172395,\n", - " 99.70176658, 107.10114697, 107.93763237, 75.6659511 ,\n", - " 125.04138794, 96.30181689, 97.94645723, 101.11175884,\n", - " 100.41542844, 65.9632723 , 110.30057353, 105.80603561,\n", - " 103.55863314, 92.00377119, 96.04100984, 95.98080079,\n", - " 97.14828364, 108.07889382, 126.62312355, 106.10434986,\n", - " 103.47633216, 102.78398277, 56.33736097, 105.1057994 ,\n", - " 105.17885678, 97.83626592, 92.98283761, 85.0327047 ,\n", - " 66.73688398, 98.42447852, 84.23430085, 86.54855345,\n", - " 103.62082097, 102.88384888, 104.91424058, 98.7520689 ,\n", - " 99.50069244, 104.74049452, 105.33879495, 70.47222977,\n", - " 104.58665903, 98.62989423, 102.896085 , 89.80433218,\n", - " 111.5956217 , 94.18272167, 91.4503245 , 102.549741 ,\n", - " 133.46646441, 95.41002553, 97.75456825, 105.92258277,\n", - " 95.70448272, 103.96646787, 101.24898398, 107.90019688,\n", - " 120.64964376, 99.78871104, 104.04259145, 97.75807704,\n", - " 99.57793675, 96.93976501, 99.87455766, 99.15426787,\n", - " 92.78858571, 107.22983756, 92.33096326, 102.49749828,\n", - " 106.90657874, 96.18380445, 102.68190365, 96.87518837,\n", - " 97.74425486, 113.26553469, 94.35775846, 101.7527434 ,\n", - " 106.35071861, 93.41828254, 73.15370762, 97.04693828,\n", - " 103.7853928 , 101.46775596, 108.78540031, 97.07320472,\n", - " 107.94043141, 72.2329497 , 100.48083749, 101.90917308,\n", - " 107.54371223, 111.90484049, 83.97958537, 126.59430747,\n", - " 77.9320391 , 80.63003228, 78.88439656, 117.22155113,\n", - " 100.25753222, 98.31308076, 101.35155112, 93.75768469,\n", - " 65.09295792, 64.68603136, 106.89309595, 105.17269802,\n", - " 98.99542048, 106.91020417, 101.68451219, 102.79168877,\n", - " 104.19294712, 118.53387928, 83.11405766, 107.92878749,\n", - " 107.93591465, 105.99901882, 97.47200192, 105.60302023,\n", - " 107.12456997, 98.21220585, 102.10270539, 104.92247693,\n", - " 108.84846272, 93.76665747, 95.21781334, 101.82454269,\n", - " 92.29753976, 95.08452534, 79.26258033, 99.29662011,\n", - " 99.29258201, 98.82131479, 107.59742842, 107.29978347,\n", - " 71.5177058 , 81.49372506, 88.62568996, 64.52285253,\n", - " 82.67740809, 104.51470402, 99.24704169, 90.17207631,\n", - " 102.82457548, 102.82402004, 105.62602432, 96.63607219,\n", - " 94.85639051, 107.56279563, 106.96557824, 77.63599125,\n", - " 72.1894966 , 107.2797511 , 106.66061295, 90.87343524,\n", - " 78.00425406, 105.93397125, 102.27564337, 91.49334631,\n", - " 109.52223697, 95.40059192, 101.4600073 , 91.95322109,\n", - " 108.00021274, 68.39257248, 72.92287433, 98.45404062,\n", - " 83.05268927, 102.56886793, 100.23174082, 70.56325665,\n", - " 103.82751841, 88.21162671, 85.41112888, 102.60764949,\n", - " 95.39201507, 97.13357456, 99.2214635 , 54.83955484,\n", - " 72.74556923, 107.28745245, 66.75751829, 76.39492607,\n", - " 67.82717839, 93.78998534, 71.69892147, 99.19358739,\n", - " 119.34722259, 83.11258823, 79.11371929, 72.25906493,\n", - " 97.87446473, 78.39086916, 92.46006108, 74.13540716,\n", - " 107.16895813, 75.16063661, 96.37509988, 96.36512088,\n", - " 105.95191834, 104.9192344 , 98.22255664, 84.88707782,\n", - " 107.94089108, 101.25606456, 102.50439939, 55.57722774,\n", - " 108.67753526, 87.41824347, 95.74005029, 95.98803213,\n", - " 76.31914088, 105.99148735, 89.64290474, 99.90445535,\n", - " 63.03861348, 105.61277888, 121.16864735, 98.29606788,\n", - " 79.84888071, 95.64558033, 107.14934257, 96.37195527,\n", - " 64.21065343, 81.62540289, 83.53834134, 90.06413032,\n", - " 99.99711895, 73.91339694, 101.59156427, 98.78386781,\n", - " 93.56994738, 91.20205457, 93.39542988, 98.60507944,\n", - " 98.68634031, 96.42574273, 70.81646808, 95.48943038,\n", - " 108.34656705, 53.67697639, 71.47936327, 97.32647373,\n", - " 95.95915913, 96.12451366, 77.69138401, 104.45964649,\n", - " 69.33463958, 93.524649 , 97.4260412 , 96.87211524,\n", - " 106.72980351, 79.47243406, 98.20797908, 59.74755888,\n", - " 81.14759866, 89.80495893, 71.41692923, 103.16669126,\n", - " 64.57894075, 71.88815708, 95.09767784, 62.32421513,\n", - " 104.0341546 , 109.07377283, 104.63109919, 104.1703079 ,\n", - " 103.34497207, 105.60472166, 72.93565051, 108.43412437,\n", - " 93.39602296, 91.1139514 , 104.36792323, 98.23618895,\n", - " 94.91744412, 92.09284587, 96.95693641, 94.67322885,\n", - " 90.526832 , 100.34871141, 91.86465375, 137.11446684,\n", - " 124.48068664, 58.91660145, 98.77344488, 133.56337564,\n", - " 89.71956836, 94.5487659 , 107.94043071, 100.53816372,\n", - " 60.17722183, 136.50696777, 90.15351864, 57.65405082,\n", - " 101.08259271, 69.80207166, 99.42347253, 95.45868732,\n", - " 103.26613807, 107.88652622, 105.49701961, 107.7264114 ,\n", - " 90.51345094, 89.09403974, 95.29870405, 104.88430363,\n", - " 97.088443 , 90.45613395, 111.92048208, 97.2843935 ,\n", - " 90.82350262, 97.46999769, 96.41193424, 97.08431399,\n", - " 101.13792217, 99.62690001, 97.55125713, 97.58418414,\n", - " 107.38210658, 105.99497174, 101.18237083, 108.54029272,\n", - " 82.75021375, 132.19559677, 103.57393826, 86.54098751,\n", - " 79.10787706, 96.37307665, 86.24549459, 48.45490849,\n", - " 106.48894411, 127.51842217, 95.51280398, 101.5443722 ,\n", - " 81.92525684, 96.49171921, 97.97664296, 94.22617011,\n", - " 104.37479489, 53.83050387, 101.36262065, 107.17879958,\n", - " 63.07251103, 98.27910129, 96.75480745, 98.56305549,\n", - " -1.6634491 , 72.49107955, 63.25672513, 157.08899891,\n", - " 102.896085 , -0.43043305, -0.79437076, 109.22873127,\n", - " 70.33676276, 84.26866612, 114.31519048, 22.03112858,\n", - " 31.28102354, 117.46676541, 75.54834157, 39.99 ,\n", - " 155.36377449, 150. , 1.72776122, 156.09340287,\n", - " 156.43716262, 83.75868619, 144.24028847, 108.4809685 ,\n", - " 108.07014142, -0.4574192 , 171.58813129, 42.81111735,\n", - " 72.00660254, 161.05868369, 120.40208467, 96.82134252,\n", - " 75.5483416 , 72.93023683, 139.99 , 156.3871668 ,\n", - " 0. , 0. , 60.19206684, 77.51771712,\n", - " 46.194113 , 67.11847201, 32.70614507, 42.31905477,\n", - " 26.77547469, 34.69449368, 58.46976897, 55.88691603,\n", - " 50.82314356, 53.07907675, 59.2001416 ]), array([ 78.28510388, 131.38651011, 94.72351493, 68.28779839,\n", - " 106.7955877 , 106.84267257, 107.79056292, 105.17087482,\n", - " 87.58830284, 55.4635785 , 105.6034003 , 106.93244473,\n", - " 90.43748917, 99.79276706, 99.84702777, 101.34728541,\n", - " 79.44996749, 83.64065833, 86.88944492, 97.96970131,\n", - " 102.08972856, 101.09872871, 97.5696968 , 99.25196049,\n", - " 107.45240455, 106.09953264, 97.42945108, 94.79507661,\n", - " 68.24023702, 146.43466833, 93.94275607, 97.32450177,\n", - " 101.57880466, 64.38498346, 98.67917033, 70.52779947,\n", - " 90.39063829, 80.83232103, 46.92847104, 61.42362645,\n", - " 93.22001231, 95.5677995 , 97.70236075, 91.45820407,\n", - " 107.62794175, 65.12325685, 105.6575534 , 74.00676249,\n", - " 107.66288379, 139.39007657, 105.49759052, 104.64786562,\n", - " 101.41780634, 107.47326052, 71.34250848, 103.77627934,\n", - " 103.58455366, 107.47286303, 95.43295527, 53.97234755,\n", - " 91.98128294, 84.17941889, 95.46055092, 95.37350895,\n", - " 82.48035819, 88.91373995, 87.90141984, 85.4416106 ,\n", - " 93.93591168, 373.78148514, 81.43046336, 89.26674148,\n", - " 100.54336273, 101.07541181, 93.17558408, 95.70246713,\n", - " 47.43181692, 102.06448799, 98.78310658, 94.69333313,\n", - " 45.53147241, 95.11329036, 83.12783888, 101.6122775 ,\n", - " 102.50281932, 102.2835447 , 95.20324685, 102.45340999,\n", - " 102.5391447 , 52.00811968, 46.4896618 , 99.57345388,\n", - " 80.08167274, 78.18133466, 93.51613367, 79.63748449,\n", - " 106.97934004, 106.98904596, 59.81826038, 94.95154106,\n", - " 85.3585242 , 102.71053113, 77.8327608 , 87.39081095,\n", - " 97.97206964, 97.5208256 , 95.69960814, 104.7772945 ,\n", - " 104.00367729, 100.58163194, 105.81087796, 101.52295245,\n", - " 119.28101627, 78.01389579, 67.09677679, 120.02542505,\n", - " 108.83471514, 114.03873083, 107.09827989, 124.82270393,\n", - " 90.12550286, 73.32890875, 74.726032 , 81.01790089,\n", - " 84.34090367, 145.48866472, 77.80536191, 77.32761091,\n", - " 101.71821725, 100.45715671, 100.53138892, 93.05934038,\n", - " 105.20909797, 104.91694495, 100.21842839, 102.46570776,\n", - " 92.67823533, 104.15588487, 106.10279331, 106.10497483,\n", - " 91.82116172, 89.66311266, 98.5829835 , 104.72666972,\n", - " 102.18038726, 105.39332361, 105.24681292, 76.88429027,\n", - " 95.04211961, 114.9487373 , 101.33774773, 79.4371803 ,\n", - " 115.89157285, 136.95914941, 90.40323389, 101.29323308,\n", - " 96.10754513, 96.8175677 , 103.68123101, 53.19475368,\n", - " 54.02095097, 106.57225753, 104.05299877, 99.60917585,\n", - " 105.54901144, 105.54590585, 131.27446299, 113.48450096,\n", - " 96.0250559 , 105.13329746, 91.98982091, 97.58111639,\n", - " 96.73474118, 83.70002649, 72.2173413 , 106.61855786,\n", - " 107.36328542, 84.58143675, 84.48882991, 103.1641229 ,\n", - " 107.48304979, 91.02984309, 99.3375294 , 101.71847569,\n", - " 99.67137584, 61.46270207, 86.82949945, 81.49901325,\n", - " 86.30704613, 73.92854755, 70.89599019, 99.36317099,\n", - " 63.36596223, 105.01161604, 108.28725598, 106.96315738,\n", - " 98.13129516, 102.26012355, 135.571223 , 100.97683942,\n", - " 107.14900498, 135.03636656, 96.63987701, 99.04766311,\n", - " 131.02037573, 97.93632544, 97.83052941, 90.08579564,\n", - " 100.53339217, 105.80231913, 106.34585066, 102.71094463,\n", - " 98.48818961, 120.40190349, 94.35478303, 74.3663376 ,\n", - " 107.4443452 , 107.44502607, 99.8808319 , 99.2004612 ,\n", - " 99.18249718, 70.18321936, 84.99482527, 91.32421202,\n", - " 90.20994911, 98.71193309, 84.62734052, 84.03180543,\n", - " 95.10883913, 91.97990296, 99.36045941, 103.73903456,\n", - " 86.96703317, 85.32498219, 105.11983446, 97.21037254,\n", - " 84.88911806, 96.93167849, 102.16752645, 90.54456076,\n", - " 106.94262474, 105.87046354, 94.26958956, 105.72640157,\n", - " 102.96916499, 87.24177438, 67.05175178, 59.74872698,\n", - " 65.25648854, 96.67104436, 95.45288262, 144.52851201,\n", - " 79.00215388, 95.72432662, 104.4131942 , 107.51445508,\n", - " 98.26498149, 105.9011226 , 98.62856679, 72.64014777,\n", - " 74.15324392, 89.61679216, 81.32770287, 87.34137631,\n", - " 99.22943575, 59.70582132, 77.43833944, 88.10434811,\n", - " 106.25770207, 130.23362501, 85.32936372, 91.04131938,\n", - " 102.30596971, 106.22256176, 106.00992738, 95.13416218,\n", - " 97.70672654, 91.17203752, 97.67250043, 94.72031177,\n", - " 77.60917389, 100.07372716, 99.7798108 , 102.66543022,\n", - " 107.14304333, 85.42003719, 97.88613482, 85.00476942,\n", - " 72.44370232, 70.66405256, 142.94120767, 110.78372566,\n", - " 65.0110499 , 66.95431803, 114.8600317 , 102.73660775,\n", - " 80.90835462, 97.14518119, 66.18586541, 70.67594435,\n", - " 101.63742936, 106.3135569 , 89.69054547, 104.58724755,\n", - " 107.06674373, 104.22766817, 107.09130841, 104.08897699,\n", - " 84.57422368, 103.59114791, 97.90476526, 105.02434467,\n", - " 77.19472964, 76.77390408, 135.25693332, 135.48946844,\n", - " 103.35392049, 68.82591019, 97.39807777, 91.28707728,\n", - " 105.52813936, 98.11466324, 68.66494873, 68.16429836,\n", - " 93.12038307, 98.06047758, 96.86800378, 101.76287594,\n", - " 101.8612085 , 103.04299105, 103.04937191, 107.13516498,\n", - " 97.11510486, 97.60081805, 88.31244656, 86.62010663,\n", - " 115.89365518, 112.63251113, 106.76649127, 99.9891927 ,\n", - " 92.39468135, 77.40071737, 113.36445628, 87.18510988,\n", - " 100.33484093, 100.01832852, 103.59568178, 91.70669397,\n", - " 91.40815204, 67.44145704, 102.82776227, 104.71954484,\n", - " 75.94338145, 97.48480444, 98.90119111, 101.27533749,\n", - " 116.92123139, 112.10232072, 105.88984996, 95.43676728,\n", - " 100.50893016, 98.80276576, 104.9549266 , 103.71991717,\n", - " 106.57110073, 121.41076922, 131.78214841, 104.92423613,\n", - " 105.1203701 , 105.68971375, 104.94179546, 103.12676972,\n", - " 97.9753929 , 105.35112612, 93.15911085, 94.9605534 ,\n", - " 101.45249943, 92.92471515, 77.24180767, 133.41190814,\n", - " 96.74582743, 102.3605184 , 98.09099073, 106.32805788,\n", - " 81.77762099, 64.7899966 , 42.93434614, 87.49474876,\n", - " 96.17333226, 115.35348929, 105.22728577, 105.76311466,\n", - " 94.16517742, 56.89731258, 80.31039601, 105.46582243,\n", - " 96.32524044, 66.58784754, 105.77287041, 107.62771221,\n", - " 105.75200959, 104.21847422, 64.50688949, 105.1257092 ,\n", - " 91.84805648, 95.74513535, 104.7822238 , 107.43210228,\n", - " 100.35807693, 97.59820214, 97.56494035, 88.16256578,\n", - " 66.86768678, 134.28944109, 88.50628046, 80.7807409 ,\n", - " 108.6159852 , 107.36351257, 64.9525382 , 70.71518004,\n", - " 94.13673154, 103.67745335, 98.6802805 , 98.39329387,\n", - " 98.40741472, 102.55848308, 95.59920358, 102.41819487,\n", - " 101.61333723, 83.02788309, 103.30386606, 75.44747811,\n", - " 104.74834407, 75.96146534, 61.83411379, 105.78632826,\n", - " 87.45224848, 80.7568991 , 107.23906667, 63.76257528,\n", - " 118.35258806, 120.32946004, 94.43899393, 97.7890968 ,\n", - " 96.92893986, 103.78603522, 92.58871248, 104.08447743,\n", - " 102.24243894, 101.66253018, 95.01153704, 112.83410144,\n", - " 49.71786524, 51.03797269, 80.36277143, 106.35187775,\n", - " 91.00535978, 52.91527484, 63.26428531, 106.5340491 ,\n", - " 104.64227537, 102.69646263, 93.70748284, 46.69889194,\n", - " 103.89262179, 94.54508353, 107.38454404, 94.67404875,\n", - " 101.78650582, 102.46204066, 97.69117807, 105.68756174,\n", - " 79.45890195, 68.85631228, 104.95583026, 98.99861515,\n", - " 107.43284209, 126.96636433, 94.08744882, 101.87402226,\n", - " 65.65521239, 52.70563327, 106.73941002, 106.5998508 ,\n", - " 104.74531028, 105.23173877, 90.02346812, 132.9497601 ,\n", - " 95.69448357, 91.33818997, 92.0232302 , 115.66827657,\n", - " 108.30261498, 106.44567162, 85.57542202, 56.50521721,\n", - " 56.71370156, 100.16641699, 95.45654409, 107.80721373,\n", - " 102.30468409, 51.37376739, 51.63032505, 75.90694034,\n", - " 107.29953177, 105.66176515, 79.5748355 , 104.42912267,\n", - " 106.87899039, 105.46315941, 91.27148361, 84.25361135,\n", - " 100.05668825, 105.97672724, 106.36984555, 105.74524132,\n", - " 105.44835502, 96.94734983, 100.21077989, 107.18579789,\n", - " 92.04363465, 104.48327968, 80.44834874, 101.92626971,\n", - " 103.03168101, 100.61174772, 101.98307321, 105.6612829 ,\n", - " 107.94611845, 98.83660431, 137.13661051, 116.56655731,\n", - " 117.75319586, 96.78749368, 95.7778305 , 94.84464452,\n", - " 92.57201918, 105.00242276, 106.02998976, 104.77596553,\n", - " 99.38397465, 106.10290764, 105.11498057, 73.74155467,\n", - " 124.49786016, 95.04571263, 97.07746728, 100.009023 ,\n", - " 94.79170368, 57.43895208, 110.30057353, 101.83269769,\n", - " 97.25719605, 80.69675717, 91.67055849, 94.98684076,\n", - " 96.15433103, 101.55690774, 126.30533327, 105.22265955,\n", - " 102.28827366, 98.81064484, 55.04852304, 100.83253845,\n", - " 104.13801215, 96.78947566, 88.72060324, 76.41837559,\n", - " 58.12255487, 97.43117276, 84.15506509, 86.00502567,\n", - " 102.51808515, 101.78146625, 102.09511036, 98.56366624,\n", - " 99.31228977, 104.60397105, 105.20227148, 69.92870199,\n", - " 104.45095208, 98.49418728, 99.47667205, 88.70159635,\n", - " 111.47053476, 94.05763473, 87.08927727, 102.41931851,\n", - " 133.34137832, 94.34402442, 96.71427684, 100.22703834,\n", - " 90.0089383 , 102.96418928, 97.82957058, 106.89791829,\n", - " 120.52455682, 99.09923686, 103.7632015 , 96.50227231,\n", - " 98.32213202, 95.72618943, 99.14399125, 98.42370146,\n", - " 88.42753848, 106.34423675, 87.96991604, 102.31790345,\n", - " 106.82734297, 96.10297446, 101.47295971, 95.61938364,\n", - " 96.48845013, 105.41998518, 93.25502263, 100.65000756,\n", - " 105.43270037, 92.31554672, 72.0509718 , 95.94420246,\n", - " 102.66163963, 100.3440028 , 108.24187253, 97.0027631 ,\n", - " 105.12190898, 69.91863339, 99.58310048, 98.67131856,\n", - " 107.4327676 , 111.90484049, 83.84916289, 126.59430747,\n", - " 77.61424717, 79.64407764, 77.89844193, 117.22155113,\n", - " 99.36065589, 96.08944873, 100.80802334, 93.21415691,\n", - " 56.47862882, 56.07170225, 106.76267347, 102.51653804,\n", - " 97.95470266, 105.70188856, 101.5641091 , 102.47389693,\n", - " 104.11371136, 118.53387928, 78.56066895, 105.09300164,\n", - " 105.11072366, 105.72047625, 96.43150161, 105.52378447,\n", - " 106.12905706, 96.95640112, 101.10236429, 103.32664116,\n", - " 107.84617121, 92.66392164, 92.54964149, 99.16769218,\n", - " 91.02585214, 93.81283772, 78.15984449, 98.19094071,\n", - " 98.23576055, 97.82715463, 106.60285974, 107.2205477 ,\n", - " 61.09644973, 80.23762081, 88.55524834, 55.90852342,\n", - " 76.375971 , 96.26660569, 98.01701601, 81.92397798,\n", - " 99.40516254, 99.4046071 , 105.54678855, 95.46828395,\n", - " 93.64029784, 104.71700165, 104.11978426, 76.64219982,\n", - " 71.19570517, 106.06876243, 105.61533364, 89.77069942,\n", - " 66.39528299, 104.93124464, 102.08266938, 90.39061048,\n", - " 109.52223697, 94.29777638, 101.17842071, 89.72958906,\n", - " 107.72167064, 68.29898276, 68.12023088, 97.91051284,\n", - " 78.68223792, 101.61853414, 99.3065911 , 67.14384371,\n", - " 103.54812846, 85.98799468, 85.41112888, 102.46984066,\n", - " 94.33700846, 97.05433879, 99.2214635 , 54.75944269,\n", - " 71.53475988, 103.11930229, 58.14318919, 75.85139829,\n", - " 62.20345362, 93.65956286, 71.56849899, 98.09103026,\n", - " 118.80369801, 82.99218514, 78.12776465, 71.71553715,\n", - " 96.77831108, 78.32042754, 91.35732525, 66.23039433,\n", - " 105.96074061, 74.17468198, 95.27236405, 96.29467927,\n", - " 105.67337577, 104.64069183, 97.22833783, 82.66344578,\n", - " 105.12303932, 100.00025983, 102.3324412 , 54.36643407,\n", - " 108.55244832, 87.10045289, 94.48424556, 94.7322274 ,\n", - " 76.19873779, 105.0365452 , 89.43611661, 99.17388894,\n", - " 62.72082295, 105.33423631, 121.16864735, 97.30404242,\n", - " 78.63808661, 92.78158004, 106.19389167, 96.24686833,\n", - " 61.72603643, 78.42935549, 81.61394492, 88.8412906 ,\n", - " 98.74525997, 73.59560638, 101.29055625, 97.79082508,\n", - " 84.68757486, 90.09931873, 92.8519021 , 97.61977023,\n", - " 98.56125305, 95.169938 , 69.71373226, 94.32164214,\n", - " 107.10894434, 52.45413666, 61.0581072 , 96.06753199,\n", - " 94.86227685, 94.86870893, 76.48057466, 104.38041072,\n", - " 69.26419796, 92.25300505, 96.43348947, 95.76933035,\n", - " 106.4287955 , 78.1941414 , 96.94903734, 57.26294189,\n", - " 80.60407088, 88.70214339, 71.2101411 , 102.77880098,\n", - " 63.47620491, 70.36470943, 92.22181358, 58.06198076,\n", - " 103.04276766, 108.83484736, 103.60069328, 103.34371499,\n", - " 102.24241494, 105.52548589, 61.40901452, 108.35510441,\n", - " 90.52015871, 91.04350979, 104.28868747, 94.17670711,\n", - " 92.2495911 , 91.99656093, 94.28725621, 92.00354864,\n", - " 86.16578478, 98.0611278 , 89.57707013, 136.84626503,\n", - " 124.48068664, 56.43198445, 98.69420912, 133.40773589,\n", - " 89.71956836, 90.18771867, 105.12190829, 100.45977864,\n", - " 59.19126719, 136.23876596, 90.05816045, 57.44726269,\n", - " 100.1701762 , 67.54228776, 97.07280816, 94.57958113,\n", - " 102.04919095, 107.75196149, 105.49701961, 107.57724824,\n", - " 86.15240372, 88.9977548 , 94.08393539, 102.90363306,\n", - " 95.98562746, 89.35331842, 111.6026917 , 96.39375248,\n", - " 90.82350262, 96.36722383, 95.42066669, 96.09036138,\n", - " 98.48203302, 99.54787899, 94.73212692, 94.76505392,\n", - " 107.2026682 , 101.96688013, 100.27911979, 107.30258032,\n", - " 82.01964734, 132.07051068, 100.91804911, 85.33019417,\n", - " 77.89708372, 93.53995081, 85.70196681, 48.38446687,\n", - " 105.55464257, 127.39333608, 92.84463213, 100.646101 ,\n", - " 80.66945211, 95.23591448, 96.72083823, 94.14533958,\n", - " 103.46253246, 53.73691415, 100.18874081, 106.22334249,\n", - " 63.07901629, 97.17636547, 95.49870319, 97.30695124,\n", - " -1.6634491 , 67.88423079, 60.63119893, 156.32054081,\n", - " 99.47667205, -0.43047884, -0.79441645, 108.85918731,\n", - " 66.02067188, 75.42697603, 93.61136979, 20.31817278,\n", - " 31.18770208, 117.14897503, 75.004817 , 39.99 ,\n", - " 149.89656936, 149.23614737, 1.72776122, 148.9874862 ,\n", - " 151.03188388, 75.96995525, 144.1152012 , 107.47288181,\n", - " 107.06808144, -0.45747696, 171.4208901 , 31.4933157 ,\n", - " 57.55670308, 160.55385666, 120.40802267, 96.50355055,\n", - " 75.00481702, 72.93677325, 139.99 , 149.23614757,\n", - " 0. , 0. , 60.06698216, 77.46241502,\n", - " 46.194113 , 66.93615418, 32.64101914, 42.31905477,\n", - " 26.77547469, 34.70103466, 58.39154225, 55.7909964 ,\n", - " 50.82314356, 53.71846734, 57.8861319 ]), array([ 99.3809185 , 131.4153611 , 98.40322046, 71.96750392,\n", - " 107.61087432, 107.69665887, 108.64348126, 105.86655605,\n", - " 88.62315792, 56.50501852, 106.64865281, 107.97357292,\n", - " 93.05708344, 100.50148457, 100.65928295, 102.15954059,\n", - " 83.97883712, 86.74958129, 87.7453375 , 98.82559389,\n", - " 102.78705533, 101.79263722, 98.38265057, 99.25671546,\n", - " 108.48788566, 107.11629622, 98.24264117, 95.71190625,\n", - " 69.15706666, 146.49655029, 94.44637095, 98.24117016,\n", - " 102.49546425, 65.40471588, 101.2083835 , 71.54753311,\n", - " 91.41035995, 81.8520427 , 47.94819922, 62.44335713,\n", - " 95.22900161, 97.5767888 , 100.27767745, 95.55811239,\n", - " 108.44928657, 65.12490736, 105.68684612, 73.97383853,\n", - " 108.49015854, 139.41892756, 106.20107731, 105.37970793,\n", - " 102.23695969, 108.29418384, 73.35149778, 105.78526864,\n", - " 105.59354296, 107.70182319, 95.42825903, 54.20130771,\n", - " 92.91957042, 85.85754797, 95.43925175, 95.35220979,\n", - " 83.50009914, 89.9334809 , 87.90620476, 85.44639552,\n", - " 94.95570123, 376.20080901, 82.45021106, 90.28646315,\n", - " 100.80579542, 101.3378445 , 94.09241373, 95.73175985,\n", - " 47.46110964, 102.10439903, 98.82217824, 94.67203397,\n", - " 45.51851346, 95.34225097, 83.3567995 , 101.57935354,\n", - " 103.41021583, 103.17935494, 96.22304329, 102.53917553,\n", - " 102.62054986, 53.02784326, 47.50938839, 99.57821059,\n", - " 81.10141962, 79.20107561, 93.74509426, 79.86644508,\n", - " 107.80026336, 107.80996928, 59.825667 , 94.95894769,\n", - " 85.58748744, 102.71053113, 78.33637216, 87.39081095,\n", - " 99.0345245 , 98.58430678, 95.67830897, 104.87297459,\n", - " 104.75947133, 101.30949501, 105.93736733, 101.64944182,\n", - " 119.28101627, 86.15648797, 75.23936897, 120.02542505,\n", - " 108.96120451, 114.00580808, 107.06535713, 124.82270393,\n", - " 90.12550286, 84.38392677, 85.70139978, 90.90483268,\n", - " 94.22783546, 145.55054669, 77.92575406, 77.44800306,\n", - " 110.31443786, 108.71434618, 102.54037822, 95.06832968,\n", - " 105.31145098, 105.01793902, 100.19712923, 102.44440859,\n", - " 112.53055165, 106.16487417, 106.91993665, 106.92400791,\n", - " 91.8631591 , 89.70511004, 98.56168434, 104.70537055,\n", - " 102.26081253, 106.39522118, 106.24231467, 96.73660658,\n", - " 95.04690452, 115.00911399, 101.34251939, 81.89029394,\n", - " 115.89157285, 136.98800039, 90.39027493, 101.41972245,\n", - " 96.28311019, 97.00071868, 104.69799459, 54.70001932,\n", - " 55.65056735, 107.39565085, 104.03169961, 99.58787669,\n", - " 105.52771227, 105.52460669, 131.33309344, 113.53791973,\n", - " 96.19850393, 106.15006104, 94.56806062, 100.1593561 ,\n", - " 96.90114602, 84.71974847, 73.23706327, 107.45265068,\n", - " 108.1858206 , 85.60115439, 85.50854866, 104.88729786,\n", - " 108.49981338, 93.64692252, 101.94310496, 102.6338924 ,\n", - " 100.58809173, 62.87725797, 90.87098238, 85.54049617,\n", - " 89.75463625, 77.37613767, 71.70116066, 100.23139212,\n", - " 64.1711327 , 105.2665458 , 108.53354797, 107.65883861,\n", - " 98.16638588, 102.29521427, 135.66206251, 101.79581249,\n", - " 107.97104807, 135.06521755, 97.56209987, 101.59260409,\n", - " 130.98745302, 98.99410921, 98.88959032, 94.13584216,\n", - " 104.50384495, 106.62405161, 107.16750096, 110.48997731,\n", - " 106.57162163, 120.90551968, 99.84185717, 79.85341175,\n", - " 108.49029092, 108.49054004, 107.35361328, 106.70815189,\n", - " 102.35205912, 73.35278129, 86.01454609, 91.32421202,\n", - " 94.25143203, 101.41016444, 85.64706232, 85.05152747,\n", - " 96.12866812, 94.5969824 , 99.36533661, 103.74644118,\n", - " 86.96703317, 85.32498219, 107.67514962, 97.93183052,\n", - " 88.12158166, 97.62641746, 103.21262233, 90.5316018 ,\n", - " 107.77858561, 106.42714189, 94.82626792, 106.42243114,\n", - " 103.58831804, 87.24177438, 70.73145731, 62.98119057,\n", - " 68.93619407, 97.08006816, 96.01118355, 144.59039398,\n", - " 79.23111686, 99.42599918, 105.22761337, 108.33159843,\n", - " 98.84208368, 106.91707967, 99.20566899, 73.55697741,\n", - " 75.07007356, 90.12040704, 81.83131775, 88.41821587,\n", - " 100.27591045, 63.38552685, 77.44305418, 88.10906919,\n", - " 107.03799621, 130.29550698, 86.13453419, 91.84648984,\n", - " 103.22114911, 106.20126259, 105.98862821, 97.15972833,\n", - " 98.76607238, 93.80366559, 106.26872104, 103.31653238,\n", - " 81.05676401, 102.48005904, 102.18588253, 102.73768635,\n", - " 107.21529947, 85.97671555, 98.94834553, 85.56144777,\n", - " 73.46343916, 71.6837894 , 143.02770862, 110.86242582,\n", - " 65.81622037, 67.7594885 , 115.36364658, 103.24022263,\n", - " 82.93392077, 97.37414443, 68.21143156, 89.99714447,\n", - " 101.67151112, 106.34763866, 92.64817662, 105.1439259 ,\n", - " 107.62342209, 104.20636901, 107.07000925, 104.9021676 ,\n", - " 84.80318692, 104.40362353, 98.76057411, 105.84620611,\n", - " 77.9999001 , 77.57907454, 135.22401138, 135.45654651,\n", - " 104.16384118, 70.85147633, 98.31490741, 92.09224775,\n", - " 105.50684019, 99.17814442, 81.4333717 , 80.09816785,\n", - " 95.12937238, 98.03917841, 97.9311488 , 101.80886866,\n", - " 102.6696718 , 103.85300459, 103.85967281, 107.13516498,\n", - " 97.92027532, 98.41122227, 89.33216829, 87.63982836,\n", - " 115.89365518, 112.63251113, 107.58858033, 101.05233772,\n", - " 92.38172239, 77.38775842, 113.36445628, 87.18510988,\n", - " 101.04841611, 100.72914219, 104.36983976, 99.96388344,\n", - " 91.43744476, 67.47074976, 104.58605311, 105.34157395,\n", - " 84.02681346, 98.17557179, 99.55115455, 102.09443345,\n", - " 116.92123139, 112.10232072, 106.63431838, 96.24193774,\n", - " 101.22419204, 99.50819826, 105.65985214, 104.5321008 ,\n", - " 107.38569361, 121.9143841 , 132.28576329, 107.51305498,\n", - " 107.68275224, 106.55630679, 105.80789039, 103.9389647 ,\n", - " 98.67662234, 106.37101479, 96.60670096, 94.98984612,\n", - " 102.47086352, 93.94443104, 77.74541896, 133.91551942,\n", - " 97.66268082, 110.95673901, 101.77442082, 107.03003511,\n", - " 89.92021317, 72.93258878, 42.96363886, 95.55193129,\n", - " 101.97474846, 115.85710057, 105.38536082, 105.92576192,\n", - " 96.86340877, 60.58074268, 83.00862736, 106.48258601,\n", - " 97.34200403, 66.70823968, 105.89326255, 107.66179396,\n", - " 106.79754054, 105.26400517, 65.54174457, 107.68501634,\n", - " 92.76488612, 95.73217639, 105.4001598 , 108.28351065,\n", - " 104.25602974, 98.33130374, 98.29800746, 95.94159845,\n", - " 67.88740876, 134.31829208, 90.5318466 , 81.69757054,\n", - " 108.64680442, 107.40053559, 67.14973772, 72.75458743,\n", - " 95.21200383, 104.53113842, 99.59680665, 99.12686537,\n", - " 99.14062929, 103.60349725, 96.4119264 , 103.20412595,\n", - " 102.38571638, 83.25684633, 103.33315878, 75.47677083,\n", - " 105.61221537, 84.10405751, 72.98664527, 106.60090185,\n", - " 91.4937314 , 81.56974449, 107.2177675 , 67.83249147,\n", - " 118.3196653 , 120.29653729, 94.48099131, 98.81088891,\n", - " 97.94793014, 106.34795193, 93.5055421 , 106.64639414,\n", - " 103.15910371, 102.57919495, 95.69663129, 112.92060239,\n", - " 53.68731498, 55.00742242, 83.47169439, 107.09634617,\n", - " 91.9221894 , 56.59498037, 64.18111495, 106.51274993,\n", - " 107.23138102, 102.76093844, 93.68826258, 46.67967168,\n", - " 104.74892753, 95.41688893, 108.20106694, 95.59327796,\n", - " 102.01370824, 103.27069644, 98.49570856, 106.73307553,\n", - " 87.60149413, 76.99890445, 105.65142565, 99.64474537,\n", - " 108.24860315, 127.08675648, 97.54818845, 105.33476189,\n", - " 71.45662859, 58.50704947, 107.56149908, 106.68561634,\n", - " 105.59321059, 106.07963908, 99.00580797, 132.97861109,\n", - " 96.26538502, 100.16285492, 100.84789515, 115.72867679,\n", - " 108.28103586, 106.4240925 , 89.54487175, 64.64780938,\n", - " 64.85629374, 101.02000045, 96.51968911, 108.65511404,\n", - " 103.2199191 , 52.39349002, 52.65004839, 76.92667718,\n", - " 108.11304748, 106.47331659, 79.58224212, 104.43744973,\n", - " 107.69290186, 105.47148647, 91.27981066, 85.27333328,\n", - " 101.06082253, 107.01158119, 107.40502026, 106.6592448 ,\n", - " 106.4408702 , 96.92605066, 100.71439117, 107.99823284,\n", - " 93.12201166, 104.47032072, 82.12647783, 102.79411974,\n", - " 103.95198061, 100.61653264, 103.01307633, 106.27686921,\n", - " 107.92574886, 99.54543877, 137.28082004, 116.53363456,\n", - " 117.75319586, 96.78749368, 95.75933771, 94.82600368,\n", - " 94.99069102, 105.81695451, 106.84696231, 105.59049293,\n", - " 99.61293782, 106.9198265 , 107.68047415, 75.41968376,\n", - " 125.00147504, 96.10914198, 97.76859879, 100.92585264,\n", - " 100.12585594, 65.4961346 , 110.30057353, 105.51612778,\n", - " 103.19285885, 91.45554835, 95.720605 , 95.79987362,\n", - " 96.96735665, 107.69932124, 126.53429329, 105.92599546,\n", - " 103.28669404, 102.49407494, 56.1434389 , 104.79441338,\n", - " 104.99579268, 97.65289175, 92.67155547, 84.56096777,\n", - " 66.26514705, 98.2435658 , 84.13376592, 86.50864055,\n", - " 103.43491477, 102.69796993, 104.65702707, 98.64409151,\n", - " 99.39271504, 104.6380528 , 105.23635323, 70.43231687,\n", - " 104.48439289, 98.52762809, 102.64623398, 89.61842598,\n", - " 111.43761283, 94.0247128 , 91.13076019, 102.44861123,\n", - " 133.30845557, 95.22579494, 97.57155592, 105.63187945,\n", - " 95.41377941, 103.7851126 , 100.99913295, 107.71884161,\n", - " 120.49163489, 99.61610064, 103.92666614, 97.56541732,\n", - " 99.38527704, 96.74904618, 99.7006696 , 98.98037981,\n", - " 92.46902141, 107.05130184, 92.01139896, 102.39030102,\n", - " 106.8060438 , 96.0837535 , 102.49090352, 96.68252865,\n", - " 97.55159514, 112.83579346, 94.17185226, 101.5668372 ,\n", - " 106.17125757, 93.23237634, 72.96780142, 96.86103209,\n", - " 103.59861765, 101.28098081, 108.74548741, 96.98980414,\n", - " 107.68340048, 71.95804079, 100.30208437, 101.67260744,\n", - " 107.44109466, 111.90484049, 83.87845561, 126.59430747,\n", - " 77.84321034, 80.4492481 , 78.70361239, 117.22155113,\n", - " 100.07880578, 98.09843803, 101.31163822, 93.71777179,\n", - " 64.621221 , 64.21429443, 106.79196619, 104.92286992,\n", - " 98.81236799, 106.71922982, 101.61010181, 102.70285992,\n", - " 104.09241219, 118.53387928, 82.7783748 , 107.67122478,\n", - " 107.67867817, 105.88312395, 97.2889824 , 105.5024853 ,\n", - " 106.9432989 , 98.01954614, 101.92143478, 104.71575549,\n", - " 108.66715587, 93.58075127, 94.96751741, 101.57468762,\n", - " 92.10427164, 94.89125723, 79.07667413, 99.11063947,\n", - " 99.10876179, 98.64037549, 107.41617779, 107.19924853,\n", - " 70.98338152, 81.30105015, 88.54228939, 64.0511156 ,\n", - " 82.31163379, 104.07032283, 99.05524011, 89.72769512,\n", - " 102.57472446, 102.57416902, 105.52548938, 96.4473492 ,\n", - " 94.66556322, 107.30492664, 106.70770925, 77.45506826,\n", - " 72.00857361, 107.08867011, 106.4773481 , 90.68752904,\n", - " 77.450301 , 105.75257471, 102.16726632, 91.30744011,\n", - " 109.52223697, 95.21467963, 101.34384654, 91.73857836,\n", - " 107.88431791, 68.30368563, 72.6491005 , 98.41412772,\n", - " 82.73228443, 102.38880537, 100.05238398, 70.31340563,\n", - " 103.71159311, 87.99698398, 85.41112888, 102.50493138,\n", - " 95.20827532, 97.03303963, 99.2214635 , 54.73861016,\n", - " 72.55449672, 106.97995618, 66.28578137, 76.35501317,\n", - " 67.53760589, 93.68885558, 71.59779171, 99.00769502,\n", - " 119.3073093 , 83.03817785, 78.93293512, 72.21915203,\n", - " 97.68889521, 78.30746858, 92.27415488, 73.70317571,\n", - " 106.97798782, 74.97985244, 96.18919368, 96.28172031,\n", - " 105.83602347, 104.80333954, 98.04160929, 84.67243508,\n", - " 107.68388086, 101.06340484, 102.39787745, 55.38615604,\n", - " 108.51952639, 87.32941345, 95.54739057, 95.79537242,\n", - " 76.2447305 , 105.81113088, 89.55650876, 99.7305673 ,\n", - " 62.94978342, 105.49688401, 121.16864735, 98.11518701,\n", - " 79.657809 , 95.3871556 , 106.96894095, 96.2139464 ,\n", - " 63.92323595, 81.38698664, 83.292074 , 89.87301458,\n", - " 99.80460581, 73.82456691, 101.47370723, 98.60296303,\n", - " 93.08634375, 91.01614837, 93.35551698, 98.42430072,\n", - " 98.52833143, 96.23308301, 70.63056188, 95.30070739,\n", - " 108.15457704, 53.48586065, 70.94503899, 97.13368713,\n", - " 95.77355706, 95.93185394, 77.50031151, 104.35911156,\n", - " 69.25123901, 93.33138206, 97.24514802, 96.68620522,\n", - " 106.61194647, 79.27891331, 98.01519248, 59.46014141,\n", - " 81.10768576, 89.61904664, 71.33053325, 103.04123366,\n", - " 64.39303455, 71.68449127, 94.83889302, 62.01293299,\n", - " 103.85308393, 108.9613541 , 104.44859358, 103.99367843,\n", - " 103.1590797 , 105.50418673, 72.3843823 , 108.3335239 ,\n", - " 93.13723814, 91.03055083, 104.2673883 , 97.9327276 ,\n", - " 94.66716139, 92.00134585, 96.70658009, 94.42287252,\n", - " 90.2072677 , 100.11384847, 91.6297908 , 136.87511602,\n", - " 124.48068664, 58.62918397, 98.67290995, 133.55194542,\n", - " 89.71956836, 94.22920159, 107.68339979, 100.43737044,\n", - " 59.99643766, 136.26761695, 90.06291716, 57.56765484,\n", - " 100.90344289, 69.56785391, 99.18604876, 95.28058319,\n", - " 103.07515209, 107.78278071, 105.49701961, 107.62175121,\n", - " 90.19388664, 89.00253972, 95.10793328, 104.6619239 ,\n", - " 96.90253071, 90.27022166, 111.83165188, 97.10598047,\n", - " 90.82350262, 97.28408853, 96.23107091, 96.903387 ,\n", - " 100.88810475, 99.52629987, 97.29404363, 97.32697064,\n", - " 107.27492434, 105.69267719, 101.00344692, 108.348299 ,\n", - " 82.57632569, 132.03758792, 103.32412084, 86.34991584,\n", - " 78.91680538, 96.11526751, 86.20558169, 48.37150792,\n", - " 106.30897571, 127.36041333, 95.26250805, 101.37396406,\n", - " 81.73259713, 96.2990595 , 97.78398325, 94.12611932,\n", - " 104.1955391 , 53.74161702, 101.17361747, 106.99839741,\n", - " 63.08066774, 98.09319509, 96.56213254, 98.37038058,\n", - " -1.6634491 , 72.15159676, 62.95895943, 156.83598682,\n", - " 102.64623398, -0.43044121, -0.79437894, 109.10504914,\n", - " 70.01578399, 83.80370453, 113.38340091, 21.91208125,\n", - " 31.19239679, 117.37793521, 75.50842828, 39.99 ,\n", - " 154.84898247, 150. , 1.72776122, 155.56899831,\n", - " 155.92691841, 83.33055283, 144.08227959, 108.29944151,\n", - " 107.888876 , -0.45743847, 171.51098753, 42.26687989,\n", - " 71.46280258, 160.96576001, 120.4096914 , 96.73251379,\n", - " 75.50842831, 72.93842376, 139.99 , 155.85955636,\n", - " 0. , 0. , 60.03405803, 77.44708761,\n", - " 46.194113 , 66.88120729, 32.62285762, 42.31905477,\n", - " 26.77547469, 34.70268503, 58.3689276 , 55.73254033,\n", - " 50.82314356, 53.55410132, 58.16391047]), array([101.35102507, 130.72818917, 98.57148148, 72.13768567,\n", - " 107.32714222, 107.41989661, 108.36659674, 105.56992184,\n", - " 88.37127489, 56.25403753, 106.39870902, 107.72312393,\n", - " 93.26140961, 100.20603353, 100.37489293, 101.87515058,\n", - " 84.04239241, 86.6997267 , 87.46879346, 98.54904403,\n", - " 102.49072925, 101.49587038, 98.0984449 , 99.03105763,\n", - " 108.23673695, 106.86278673, 97.9584971 , 95.5222327 ,\n", - " 68.97278679, 146.32729569, 94.68330841, 98.04381126,\n", - " 102.29810026, 65.1516621 , 101.15484736, 71.29447925,\n", - " 91.16394942, 81.60566253, 47.69514557, 62.19030343,\n", - " 95.07900791, 97.42680477, 100.23028623, 95.715347 ,\n", - " 108.16891485, 65.14934593, 105.40813357, 73.49551806,\n", - " 108.21065085, 138.73496544, 105.90518864, 105.0874025 ,\n", - " 101.95547354, 108.01361721, 73.20177103, 105.63477879,\n", - " 105.44309212, 107.71939748, 95.22101861, 54.21921792,\n", - " 92.72618046, 85.83345346, 95.22481954, 95.13855925,\n", - " 83.24704445, 89.6805844 , 87.68424724, 85.22870474,\n", - " 94.70263888, 376.13095133, 82.19715391, 90.03340958,\n", - " 100.52606128, 101.05811036, 93.89521969, 95.4532168 ,\n", - " 47.18258418, 101.80390214, 98.52342228, 94.45780453,\n", - " 45.27548295, 95.48592963, 83.50048961, 101.10107787,\n", - " 103.20878028, 102.97297054, 95.96998002, 102.24368326,\n", - " 102.32460238, 52.77478936, 47.2563347 , 99.35229162,\n", - " 80.84836275, 78.94802076, 93.88378918, 80.00514614,\n", - " 107.51969679, 107.52940271, 59.57842441, 94.71167726,\n", - " 86.28071079, 103.577823 , 78.61003094, 88.25821611,\n", - " 98.78690747, 98.33683699, 95.4642146 , 104.57850088,\n", - " 104.49872337, 101.04773615, 105.64603279, 101.35814505,\n", - " 120.04197738, 86.90075265, 75.98286353, 120.84313599,\n", - " 108.66986732, 113.58498749, 106.64455627, 125.52460889,\n", - " 90.94326413, 85.31647681, 86.62771375, 91.79648196,\n", - " 95.11684442, 145.37381057, 77.95304848, 77.4753842 ,\n", - " 111.10963594, 109.46702105, 102.38974538, 94.9183123 ,\n", - " 105.01766094, 104.72401071, 99.98714724, 102.23206393,\n", - " 114.31714352, 106.01304093, 106.63639456, 106.64071419,\n", - " 91.75545471, 89.59891465, 98.27486004, 104.47986334,\n", - " 101.96485365, 106.13889846, 105.98500922, 98.52319928,\n", - " 94.81660912, 114.90225814, 101.11428055, 81.82477291,\n", - " 116.68196382, 136.54170752, 90.85412702, 101.12869896,\n", - " 95.99645715, 96.7147498 , 104.4445092 , 54.51113524,\n", - " 55.47826717, 107.11299514, 103.74430308, 99.30398934,\n", - " 105.3037265 , 105.30070622, 131.2299004 , 113.43769566,\n", - " 95.91165792, 105.89657588, 94.51859855, 100.10989424,\n", - " 96.61364648, 84.46669439, 72.98401566, 107.17353896,\n", - " 107.90532396, 85.34809411, 85.25548998, 104.70499249,\n", - " 108.24633152, 93.60286456, 101.89790923, 102.43532023,\n", - " 100.38977662, 62.67627225, 91.05758362, 85.72733149,\n", - " 89.81094786, 77.43244885, 71.41714276, 99.95557156,\n", - " 63.8857322 , 104.98651173, 108.25316817, 107.36222992,\n", - " 97.87582126, 102.00464966, 134.98516293, 101.5142323 ,\n", - " 107.69052048, 134.61818125, 97.29436084, 101.54112915,\n", - " 130.55856564, 98.74586682, 98.64151879, 94.27819463,\n", - " 104.62299445, 106.34354074, 106.88696469, 111.16515134,\n", - " 107.29829609, 121.0114935 , 99.96506001, 80.06915101,\n", - " 108.24044012, 108.24063162, 107.96840197, 107.32783439,\n", - " 102.56942691, 73.57102093, 85.76149037, 92.08582013,\n", - " 94.43807091, 101.61116622, 85.39400799, 84.79847337,\n", - " 95.87560258, 94.55292664, 99.11814234, 103.49647291,\n", - " 87.82810134, 86.18495595, 107.624874 , 97.63747064,\n", - " 88.32985978, 97.32904458, 102.96267362, 90.98751636,\n", - " 107.49970196, 106.11297205, 94.51217194, 106.12604058,\n", - " 103.2821463 , 88.10473283, 70.90164661, 63.189649 ,\n", - " 69.10638497, 96.74621669, 95.69650983, 144.42114009,\n", - " 79.79665942, 99.58972364, 104.94363351, 108.04838562,\n", - " 98.53142679, 106.66346476, 98.89499415, 73.37448719,\n", - " 74.88759252, 90.3584175 , 82.06943817, 88.17234574,\n", - " 100.02596759, 63.55650461, 77.22332305, 87.88851633,\n", - " 106.75234467, 130.12613335, 85.84911737, 91.56107242,\n", - " 103.02255999, 105.98845343, 105.77582301, 97.04018716,\n", - " 98.51803955, 93.76102547, 107.06459733, 104.11522286,\n", - " 81.11307511, 102.40860601, 102.11439708, 102.440771 ,\n", - " 106.92025794, 85.66258523, 98.70069615, 85.24737559,\n", - " 73.21038508, 71.43073531, 142.87244873, 110.72322257,\n", - " 65.53080383, 67.47407184, 115.59145302, 103.47563836,\n", - " 82.81439878, 97.96583375, 68.09222482, 91.7049553 ,\n", - " 101.38298798, 106.05911559, 92.58507442, 104.829756 ,\n", - " 107.30925154, 103.91887829, 106.78409649, 104.61805734,\n", - " 85.49392252, 104.11942574, 98.48401677, 105.5656971 ,\n", - " 77.71449371, 77.29366828, 134.81459608, 135.04714239,\n", - " 103.87930318, 70.73195445, 98.11878725, 91.8068306 ,\n", - " 105.28342769, 98.93067463, 81.92169937, 80.55611045,\n", - " 94.9793731 , 97.82206738, 97.68360638, 101.70923236,\n", - " 102.38465534, 103.56837071, 103.57506828, 107.99310292,\n", - " 97.63483998, 98.12648757, 89.0791146 , 87.38677467,\n", - " 116.6847411 , 113.42363389, 107.30572738, 100.80480485,\n", - " 92.80110288, 77.80758183, 114.22634185, 88.04765386,\n", - " 100.75360578, 100.43396783, 104.08197737, 100.71714656,\n", - " 91.15892338, 67.19222852, 104.42988114, 105.03574302,\n", - " 84.75358411, 97.87777189, 99.24825568, 101.81291818,\n", - " 117.76516345, 112.92885616, 106.34368325, 95.95650817,\n", - " 100.92960363, 99.2123131 , 105.36412443, 104.2478629 ,\n", - " 107.10208582, 122.1105274 , 132.48345022, 107.46618176,\n", - " 107.63320073, 106.28019522, 105.53170965, 103.6547309 ,\n", - " 98.38018528, 106.11794492, 96.6630117 , 94.71131546,\n", - " 102.21761514, 93.69137022, 78.04898903, 134.21922659,\n", - " 97.46431125, 111.75201269, 101.9423005 , 106.73400159,\n", - " 90.64646824, 73.66989184, 42.68511788, 96.26392201,\n", - " 102.19299561, 116.14917073, 105.09708373, 105.63794487,\n", - " 97.08549695, 60.75486855, 83.23233207, 106.22909818,\n", - " 97.08851707, 66.73907301, 105.92559621, 107.3732709 ,\n", - " 106.54763439, 105.01409902, 65.2902721 , 107.63515016,\n", - " 92.58052325, 95.5823996 , 105.09383154, 108.00645143,\n", - " 104.39472711, 98.03825994, 98.00496013, 96.61872977,\n", - " 67.63436122, 133.8715391 , 90.41231838, 81.51473366,\n", - " 108.34585925, 107.09988926, 67.24171965, 72.81162764,\n", - " 94.96596256, 104.25434334, 99.39909579, 98.83386912,\n", - " 98.84759697, 103.35352427, 96.12762323, 102.91704055,\n", - " 102.09729894, 83.94779083, 103.05447483, 75.1980871 ,\n", - " 105.33568935, 84.84832269, 73.9280938 , 106.31697764,\n", - " 91.68024192, 81.28546586, 106.92488426, 68.04809484,\n", - " 117.89479932, 119.87108265, 94.37502903, 98.55719991,\n", - " 97.69385346, 106.29876492, 93.32484786, 106.59720754,\n", - " 102.96177032, 102.38186221, 95.39805456, 112.76534348,\n", - " 53.85746133, 55.17791466, 83.42543909, 106.80571104,\n", - " 91.74151029, 56.76562606, 64.00686223, 106.29979115,\n", - " 107.18453671, 102.46317112, 93.39322855, 46.38463775,\n", - " 104.47239937, 95.14220758, 107.91753408, 95.32512995,\n", - " 101.73164739, 102.98596051, 98.21025509, 106.48316708,\n", - " 88.34490686, 77.73956326, 105.35451995, 99.34136427,\n", - " 107.96513186, 126.9802316 , 97.72789041, 105.51446388,\n", - " 71.67597001, 58.72675676, 107.27864613, 106.39017352,\n", - " 105.316319 , 105.80274613, 99.83559768, 132.29235699,\n", - " 95.95232937, 100.97359619, 101.65872944, 115.62176679,\n", - " 107.97983203, 106.12328835, 89.71053413, 65.38799477,\n", - " 65.5978935 , 100.74339639, 96.2721558 , 108.37788952,\n", - " 103.02134701, 52.14043601, 52.39699447, 76.67362307,\n", - " 107.82921808, 106.18908003, 79.33532795, 104.13462354,\n", - " 107.40902488, 105.16866001, 90.97695137, 85.02027918,\n", - " 100.80468473, 106.76033416, 107.15382294, 106.39005388,\n", - " 106.18310516, 96.71325557, 101.00695763, 107.71415617,\n", - " 92.87634462, 104.37065062, 82.10238836, 102.5182372 ,\n", - " 103.6837186 , 100.39596299, 102.76085544, 105.97022507,\n", - " 107.6288379 , 99.24997881, 137.31180675, 116.11281999,\n", - " 118.60181137, 97.63858116, 95.46590843, 94.5322962 ,\n", - " 94.92075014, 105.53301158, 106.56339751, 105.30654821,\n", - " 100.19972707, 106.63626149, 107.63124043, 75.39559439,\n", - " 125.20760797, 95.86261009, 97.47081655, 100.72985361,\n", - " 100.24334773, 66.22922417, 110.61349843, 105.68371978,\n", - " 103.68528094, 92.37399036, 95.86295954, 95.51562821,\n", - " 96.68310962, 108.20520577, 126.50890403, 105.63009187,\n", - " 103.02975431, 102.66188716, 55.89977947, 104.91259767,\n", - " 104.71940311, 97.37701905, 92.83037822, 85.30723958,\n", - " 67.01442234, 97.95921009, 83.92130915, 86.7083428 ,\n", - " 103.23947641, 102.50026226, 104.60784048, 98.34837685,\n", - " 99.09713694, 104.34952976, 104.9478302 , 70.69358601,\n", - " 104.19713904, 98.24037707, 102.86362418, 89.42300021,\n", - " 111.04792354, 93.63934007, 91.31759549, 102.17009533,\n", - " 132.87845697, 94.95254668, 97.29512722, 105.75295199,\n", - " 95.5516043 , 103.50463225, 101.2114925 , 107.43829301,\n", - " 120.09902743, 99.29664842, 103.63890417, 97.31788515,\n", - " 99.13774487, 96.4955049 , 99.38651668, 98.66622731,\n", - " 92.65585989, 106.75607974, 92.19823783, 102.09341094,\n", - " 106.50609382, 95.78871593, 102.2375862 , 96.43499638,\n", - " 97.30406296, 113.44210599, 93.97638941, 101.37087614,\n", - " 105.87985475, 93.03695382, 72.77237891, 96.66560878,\n", - " 103.33277904, 101.01514225, 108.95237966, 97.40801652,\n", - " 107.6337582 , 72.0150813 , 100.00791539, 101.8745112 ,\n", - " 107.13826821, 112.60684004, 83.59993974, 127.24346098,\n", - " 78.43007811, 80.16383128, 78.41819557, 118.0742102 ,\n", - " 99.78453089, 97.94814103, 101.54869774, 93.95485101,\n", - " 65.36244608, 64.95584362, 106.51277672, 104.85141701,\n", - " 98.53597307, 106.4658097 , 101.50821299, 103.26825815,\n", - " 103.86713619, 119.35214116, 83.00416657, 107.62328779,\n", - " 107.62969552, 105.59530702, 97.01257236, 105.27919241,\n", - " 106.65925829, 97.7720048 , 101.63990974, 104.51117914,\n", - " 108.38691456, 93.38530965, 94.89747491, 101.50331602,\n", - " 91.85860799, 94.64559357, 78.89421794, 98.84272073,\n", - " 98.83424976, 98.35622343, 107.13205361, 106.90623485,\n", - " 71.87649958, 81.05491752, 88.99912478, 64.79578398,\n", - " 82.80414097, 104.72002856, 98.80447471, 90.3774689 ,\n", - " 102.79407874, 102.79353855, 105.30156467, 96.18779258,\n", - " 94.41235553, 107.25796521, 106.66074782, 77.17079408,\n", - " 71.72430301, 106.83559881, 106.20053372, 90.49213955,\n", - " 78.38285469, 105.47209768, 101.87167779, 91.11201761,\n", - " 109.84243931, 95.01678156, 101.05628201, 91.58874821,\n", - " 107.59650095, 68.08539953, 72.71266005, 98.65086088,\n", - " 82.87464079, 102.10026243, 99.76090328, 70.53276615,\n", - " 103.42389136, 87.84715398, 86.27115482, 102.21436677,\n", - " 94.93351757, 96.74003531, 100.07412446, 54.43279529,\n", - " 72.30144407, 107.0860343 , 67.0609208 , 76.59313714,\n", - " 67.65553372, 93.41032511, 71.31926362, 98.81035463,\n", - " 119.63117491, 82.93871663, 78.64753202, 72.45729777,\n", - " 97.41974658, 78.72687699, 92.09179666, 74.31882876,\n", - " 106.7245514 , 74.69444935, 95.99696122, 96.18230517,\n", - " 105.54820655, 104.51552262, 97.75749315, 84.52263039,\n", - " 107.63417198, 100.81587267, 102.1002288 , 55.13310927,\n", - " 108.12917259, 87.46144691, 95.29990413, 95.54793942,\n", - " 76.14723999, 105.52339737, 89.57874922, 99.41641319,\n", - " 63.05946473, 105.20922169, 121.95936558, 97.83058871,\n", - " 79.40475494, 95.34201436, 106.68134282, 95.82678774,\n", - " 64.01523153, 81.32538469, 83.26798758, 89.62069985,\n", - " 99.55657298, 73.94998498, 101.18773864, 98.31854995,\n", - " 93.84443641, 90.83135539, 93.59110188, 98.13884725,\n", - " 98.12005926, 95.98565145, 70.4485773 , 95.04115077,\n", - " 107.90468449, 53.2335461 , 71.83689661, 96.88654337,\n", - " 95.5045087 , 95.68442235, 77.24726008, 104.05916159,\n", - " 69.10873795, 93.08571503, 96.96064518, 96.48827659,\n", - " 106.32597803, 79.03402483, 97.76804873, 59.55213985,\n", - " 81.34581271, 89.42115324, 71.35785755, 102.76149952,\n", - " 64.21349087, 71.47085762, 94.79483728, 62.17175585,\n", - " 103.56848103, 108.67001619, 104.17202602, 103.69077995,\n", - " 102.96174698, 105.28084711, 73.31185236, 108.03231087,\n", - " 93.09318238, 91.73378665, 103.9799437 , 98.02621967,\n", - " 94.59707769, 91.7793889 , 96.63672241, 94.35301484,\n", - " 90.394103 , 99.9962292 , 91.51217154, 136.42835332,\n", - " 125.17707587, 58.72139356, 98.38608573, 133.5831149 ,\n", - " 90.54061601, 94.41604047, 107.63375752, 100.1323337 ,\n", - " 59.71102113, 135.8208784 , 89.83705602, 57.59012035,\n", - " 100.61089778, 69.44844668, 99.07632915, 94.98387518,\n", - " 102.82233454, 107.49162832, 106.28812078, 107.32222019,\n", - " 90.38071816, 88.78224003, 94.85455006, 104.50575193,\n", - " 96.70467857, 90.07623622, 111.85630002, 96.81056625,\n", - " 91.69136591, 97.0863257 , 95.9465969 , 96.61983063,\n", - " 100.81661933, 99.22581951, 97.24485712, 97.27778423,\n", - " 106.98008386, 105.78252702, 100.70995573, 108.09841794,\n", - " 82.26317313, 131.61241752, 103.25265913, 86.10543381,\n", - " 78.67254533, 96.06787629, 86.44376004, 48.27234192,\n", - " 106.01962027, 126.93524304, 95.19246555, 101.11220537,\n", - " 81.48522904, 96.05152124, 97.53655197, 93.83136952,\n", - " 103.90331528, 53.5368428 , 100.91476709, 106.7108009 ,\n", - " 63.10503115, 97.91374205, 96.31551683, 98.12289251,\n", - " -1.6634491 , 72.38285642, 63.07899493, 156.24455541,\n", - " 102.86362418, -0.43045383, -0.79439165, 108.82515925,\n", - " 70.22383701, 84.5064843 , 115.15812896, 22.01720536,\n", - " 30.97475758, 117.40258335, 75.78368692, 39.99 ,\n", - " 155.56060054, 150. , 1.72776122, 156.0667203 ,\n", - " 156.62620758, 83.92575211, 143.67369581, 108.02017368,\n", - " 107.60869912, -0.4574823 , 171.34744195, 43.17322732,\n", - " 72.11924573, 160.95806463, 120.43268691, 97.32420311,\n", - " 75.78368695, 73.00357583, 139.99 , 156.36189143,\n", - " 0. , 0. , 59.5482923 , 77.23162782,\n", - " 46.194113 , 66.17053448, 32.36961341, 42.31905477,\n", - " 26.77547469, 34.72706684, 58.0629295 , 55.33762287,\n", - " 50.82314356, 51.82029246, 60.23340752]), array([ 99.10177955, 130.54361546, 98.11607928, 71.68228348,\n", - " 107.17739827, 107.26527212, 108.21208301, 105.42797648,\n", - " 88.19483389, 56.07682689, 106.22036715, 107.54515684,\n", - " 93.01952437, 100.06350771, 100.22578231, 101.72603996,\n", - " 83.67659864, 86.40554407, 87.31400425, 98.39425482,\n", - " 102.34852686, 101.35399228, 97.94921978, 98.96090352,\n", - " 108.05919573, 106.68713623, 97.80923367, 95.35559087,\n", - " 68.80614496, 146.26595103, 94.62088222, 97.87718971,\n", - " 102.13147982, 64.97568444, 100.80894811, 71.11850142,\n", - " 90.98797337, 81.42968649, 47.51916853, 62.01432603,\n", - " 94.84852188, 97.19631873, 99.87906592, 95.18528662,\n", - " 108.01767277, 65.1586404 , 105.32945784, 73.37043942,\n", - " 108.05865444, 138.55039173, 105.76284143, 104.94267365,\n", - " 101.80475738, 107.86246735, 72.97128499, 105.40429275,\n", - " 105.21260608, 107.6438669 , 95.16576349, 54.14368734,\n", - " 92.55687845, 85.5724376 , 95.14684244, 95.06058214,\n", - " 83.07106557, 89.50460553, 87.6133345 , 85.157792 ,\n", - " 94.52665356, 375.79959905, 82.02117408, 89.85743353,\n", - " 100.42443865, 100.95648773, 93.72857786, 95.37454108,\n", - " 47.10390845, 101.72287009, 98.44257647, 94.37982743,\n", - " 45.21713888, 95.4103991 , 83.42495907, 100.97599923,\n", - " 103.04330862, 102.80893592, 95.79399379, 102.15836145,\n", - " 102.23968642, 52.59881301, 47.0803579 , 99.28209358,\n", - " 80.67238304, 78.77204189, 93.80825864, 79.9296156 ,\n", - " 107.36854692, 107.37825284, 59.50461236, 94.63786521,\n", - " 86.20518052, 103.577823 , 78.5476024 , 88.25821611,\n", - " 98.60680094, 98.15660827, 95.38623749, 104.49225745,\n", - " 104.35205711, 100.90361757, 105.55692769, 101.26903996,\n", - " 120.04197738, 86.01597148, 75.09808236, 120.84313599,\n", - " 108.58076223, 113.45990874, 106.51947752, 125.52460889,\n", - " 90.94326413, 84.21991672, 85.53833233, 90.74981616,\n", - " 94.07017862, 145.31246592, 77.88519613, 77.40753185,\n", - " 110.17428855, 108.57508733, 102.15925934, 94.68782626,\n", - " 104.93079735, 104.63727335, 99.90917014, 102.15408683,\n", - " 112.24301017, 105.7825549 , 106.48637825, 106.49045985,\n", - " 91.69537355, 89.53883349, 98.19688294, 104.40188623,\n", - " 101.88002351, 105.96613045, 105.8131168 , 96.44906594,\n", - " 94.74569638, 114.84022505, 101.04370365, 81.48972165,\n", - " 116.68196382, 136.35713381, 90.79578294, 101.03959386,\n", - " 95.90281631, 96.62041033, 104.2688587 , 54.28096017,\n", - " 55.23394473, 106.96221303, 103.66632597, 99.22601223,\n", - " 105.2257494 , 105.22272911, 131.16804971, 113.37639303,\n", - " 95.81821203, 105.72092538, 94.16984966, 99.76114535,\n", - " 96.5208501 , 84.29071829, 72.80803956, 107.020978 ,\n", - " 107.75396944, 85.17211857, 85.0795143 , 104.49313815,\n", - " 108.07068102, 93.24940605, 101.5453403 , 102.26885405,\n", - " 100.22315002, 62.45641989, 90.55396716, 85.22371503,\n", - " 89.37300901, 76.99450999, 71.26871438, 99.79950882,\n", - " 63.73730382, 104.88557453, 108.15302008, 107.22028457,\n", - " 97.79585879, 101.92468719, 134.79666081, 101.36356294,\n", - " 107.53923135, 134.43360754, 97.13149996, 101.19346368,\n", - " 130.43348689, 98.5662482 , 98.46176728, 93.76333488,\n", - " 104.13178869, 106.19226995, 106.73570852, 110.33444929,\n", - " 106.42861305, 120.94906819, 99.56177427, 79.66586527,\n", - " 108.06201964, 108.06225992, 107.17626048, 106.53188131,\n", - " 102.1770261 , 73.17862012, 85.58551442, 92.08582013,\n", - " 93.93445445, 101.27709589, 85.21803191, 84.62249726,\n", - " 95.69961198, 94.19946813, 99.04489274, 103.42266085,\n", - " 87.82810134, 86.18495595, 107.27623892, 97.49444171,\n", - " 87.92968596, 97.1878682 , 102.78438088, 90.92917228,\n", - " 107.34694315, 105.98272698, 94.38192687, 105.98394323,\n", - " 103.14656038, 88.10473283, 70.44624442, 62.78947517,\n", - " 68.65098277, 96.62909524, 95.56670517, 144.35979544,\n", - " 79.72112913, 99.13163421, 104.79386768, 107.89836931,\n", - " 98.39885106, 106.48789805, 98.76241843, 73.20784536,\n", - " 74.72095069, 90.29599131, 82.00701199, 87.99076536,\n", - " 99.84783492, 63.10110241, 77.1541885 , 87.81922102,\n", - " 106.60228569, 130.0647887 , 85.70068899, 91.41264405,\n", - " 102.8561232 , 105.91047633, 105.69784591, 96.75084677,\n", - " 98.33825786, 93.40645147, 106.12924994, 103.17987547,\n", - " 80.67513626, 102.07862835, 101.78444727, 102.3567078 ,\n", - " 106.83619475, 85.53234016, 98.52061493, 85.11713052,\n", - " 73.03440678, 71.25475702, 142.80768317, 110.6592726 ,\n", - " 65.38237545, 67.32564346, 115.52902683, 103.41321217,\n", - " 82.5250584 , 97.89030348, 67.80288443, 89.71772263,\n", - " 101.3032494 , 105.97937702, 92.2992121 , 104.69951093,\n", - " 107.17900647, 103.84090119, 106.70611939, 104.46854345,\n", - " 85.41839225, 103.96998203, 98.3292388 , 105.41441645,\n", - " 77.56606534, 77.1452399 , 134.68951727, 134.92206357,\n", - " 103.73010015, 70.44261407, 97.95214542, 91.65840222,\n", - " 105.20545059, 98.75044591, 81.08678016, 79.74914473,\n", - " 94.74888706, 97.74409027, 97.50344462, 101.64874016,\n", - " 102.23570546, 103.4190818 , 103.42579335, 107.99310292,\n", - " 97.4864116 , 97.97759658, 88.90313854, 87.21079861,\n", - " 116.6847411 , 113.42363389, 107.15508772, 100.62464309,\n", - " 92.7427588 , 77.74923775, 114.22634185, 88.04765386,\n", - " 100.61062882, 100.29124721, 103.93450646, 99.82521285,\n", - " 91.08024766, 67.1135528 , 104.17182882, 104.89992705,\n", - " 83.88390107, 97.73685384, 99.11065595, 101.66221648,\n", - " 117.76516345, 112.92885616, 106.1978055 , 95.80807979,\n", - " 100.78647037, 99.0700929 , 105.22168519, 104.09845184,\n", - " 106.95249396, 122.04810121, 132.42102403, 107.11491749,\n", - " 107.28400838, 106.12435234, 105.37592711, 103.50531577,\n", - " 98.23834342, 105.94194631, 96.22507285, 94.63263973,\n", - " 102.04178016, 93.51539521, 77.98656042, 134.15679798,\n", - " 97.29766635, 110.8166653 , 101.48644077, 106.59173855,\n", - " 89.76168707, 72.78511067, 42.60644216, 95.39120286,\n", - " 101.71630877, 116.08674212, 105.0050558 , 105.54549237,\n", - " 96.75142662, 60.29900882, 82.89826174, 106.05344768,\n", - " 96.91286657, 66.67122067, 105.85774387, 107.29353233,\n", - " 106.36926077, 104.8357254 , 65.11383109, 107.28620012,\n", - " 92.41388142, 95.52405552, 104.95834979, 107.85209519,\n", - " 103.91244457, 97.89441447, 97.86111761, 95.78802773,\n", - " 67.45838512, 133.68696539, 90.122978 , 81.34809183,\n", - " 108.26504923, 107.01893222, 66.91635946, 72.50582724,\n", - " 94.78452573, 104.09974159, 99.23249217, 98.6899836 ,\n", - " 98.70374184, 103.17524065, 95.97845721, 102.76929663,\n", - " 101.95036144, 83.87226056, 102.97579911, 75.11941137,\n", - " 105.18019233, 83.96354152, 72.82119857, 106.1673047 ,\n", - " 91.17662546, 81.1362882 , 106.84690716, 67.53581056,\n", - " 117.76972057, 119.7460039 , 94.31494787, 98.3822987 ,\n", - " 97.51927369, 105.94910884, 93.15820602, 106.24755145,\n", - " 102.79514923, 102.21524111, 95.25767475, 112.70057792,\n", - " 53.36455361, 54.68500695, 83.13125645, 106.65983329,\n", - " 91.57486846, 56.31022386, 63.8402204 , 106.22181405,\n", - " 106.83325002, 102.37983535, 93.31562675, 46.30703595,\n", - " 104.31748426, 94.98540228, 107.76757296, 95.16262691,\n", - " 101.63325491, 102.83691252, 98.06183444, 106.30479541,\n", - " 87.46012569, 76.85478209, 105.21286132, 99.20407836,\n", - " 107.81522529, 126.91237925, 97.29955819, 105.08613166,\n", - " 71.19928318, 58.25006993, 107.12800647, 106.3048517 ,\n", - " 105.16242802, 105.64885515, 98.85080928, 132.10778328,\n", - " 95.82145459, 100.00725262, 100.69238587, 115.55973124,\n", - " 107.90180447, 106.04526079, 89.21762641, 64.5032136 ,\n", - " 64.71311233, 100.5889933 , 96.09199404, 108.22399854,\n", - " 102.85490332, 51.96445982, 52.22101816, 76.49764477,\n", - " 107.67969625, 106.03968667, 79.2615159 , 104.05480403,\n", - " 107.25937126, 105.08884051, 90.89713187, 84.84430309,\n", - " 100.63184138, 106.58296808, 106.97640911, 106.22831802,\n", - " 106.01162194, 96.63527846, 100.94452901, 107.56463357,\n", - " 92.69459105, 104.31230655, 81.84137251, 102.36221839,\n", - " 103.52120053, 100.32505025, 102.58459791, 105.83495297,\n", - " 107.55102845, 99.10748304, 137.29393093, 115.98774124,\n", - " 118.60181137, 97.63858116, 95.38843799, 94.45479901,\n", - " 94.58946894, 105.38328309, 106.41340283, 105.15681494,\n", - " 100.1241968 , 106.48627203, 107.28180314, 75.13457853,\n", - " 125.14518178, 95.68239868, 97.32989196, 100.56321177,\n", - " 99.8434498 , 65.35650502, 110.61349843, 105.22786006,\n", - " 103.03304428, 91.29330292, 95.34809979, 95.3664343 ,\n", - " 96.53391673, 107.52771338, 126.43337344, 105.48775981,\n", - " 102.85758355, 102.20602744, 55.71632098, 104.422768 ,\n", - " 104.56431024, 97.22123653, 92.3402195 , 84.42245841,\n", - " 66.12964117, 97.81007809, 83.84333204, 86.64591661,\n", - " 103.07283458, 102.33366139, 104.25818439, 98.26354671,\n", - " 99.0123068 , 104.26979118, 104.86809162, 70.63115982,\n", - " 104.1175427 , 98.16078073, 102.47122337, 89.25635837,\n", - " 110.92284473, 93.51426126, 90.81397903, 102.09141961,\n", - " 132.75337822, 94.79451826, 97.14014329, 105.35082654,\n", - " 95.14947885, 103.35348239, 100.81909172, 107.28714315,\n", - " 119.97394861, 99.16992571, 103.54643281, 97.13772339,\n", - " 98.95758311, 96.32047645, 99.25627161, 98.53598224,\n", - " 92.15224342, 106.61321372, 91.69462137, 102.00933305,\n", - " 106.42811672, 95.711114 , 102.06179818, 96.25483462,\n", - " 97.1239012 , 112.65626821, 93.80974758, 101.20423431,\n", - " 105.73449914, 92.87031198, 72.60573708, 96.49896695,\n", - " 103.16819674, 100.85055995, 108.88995347, 97.34967244,\n", - " 107.28463588, 71.7092809 , 99.86453946, 101.5029503 ,\n", - " 107.05844871, 112.60684004, 83.52126401, 127.24346098,\n", - " 78.35454783, 80.01540291, 78.26976719, 118.0742102 ,\n", - " 99.64122718, 97.71765499, 101.48627156, 93.89242482,\n", - " 64.47766491, 64.07106245, 106.434101 , 104.52143936,\n", - " 98.38090485, 106.29008993, 101.44772079, 103.19272785,\n", - " 103.78915908, 119.35214116, 82.47434423, 107.27284982,\n", - " 107.28006462, 105.50285448, 96.85757094, 105.20121531,\n", - " 106.50947629, 97.59184304, 101.48921346, 104.29417099,\n", - " 108.23570734, 93.21866782, 94.56628051, 101.17326818,\n", - " 91.67685166, 94.46383725, 78.7275761 , 98.68010492,\n", - " 98.67729913, 98.20697313, 106.98231972, 106.82825775,\n", - " 70.82983377, 80.87470611, 88.9407807 , 63.91100281,\n", - " 82.15190431, 103.89732938, 98.62659109, 89.55476972,\n", - " 102.40167793, 102.40113774, 105.22358757, 96.01798593,\n", - " 94.23704189, 106.90676998, 106.30955259, 77.0216143 ,\n", - " 71.57512323, 106.65959766, 106.04527514, 90.32549772,\n", - " 77.28629459, 105.32085594, 101.78646323, 90.94537578,\n", - " 109.84243931, 94.8501305 , 100.96357378, 91.35826217,\n", - " 107.50404845, 68.01656562, 72.34686628, 98.5884347 ,\n", - " 82.35978104, 101.95346236, 99.61602574, 70.14036534,\n", - " 103.33142 , 87.61666795, 86.27115482, 102.1344043 ,\n", - " 94.77677789, 96.66205821, 100.07412446, 54.35448756,\n", - " 72.12546578, 106.60629388, 66.17613963, 76.53071095,\n", - " 67.25563579, 93.33164939, 71.2405879 , 98.64373354,\n", - " 119.5687463 , 82.87822443, 78.49910364, 72.39487158,\n", - " 97.25820493, 78.66853291, 91.92515482, 73.52668727,\n", - " 106.54884234, 74.54602097, 95.83031938, 96.1239611 ,\n", - " 105.45575402, 104.42307008, 97.60821262, 84.29214435,\n", - " 107.28510091, 100.63571091, 102.01680189, 54.95713316,\n", - " 108.00409378, 87.38591637, 95.11974237, 95.36777766,\n", - " 76.08674779, 105.37580017, 89.51089687, 99.28616812,\n", - " 62.98393418, 105.11676915, 121.95936558, 97.68161071,\n", - " 79.2287788 , 94.98944542, 106.53361082, 95.70170893,\n", - " 63.68987133, 81.03952236, 83.00697173, 89.44462646,\n", - " 99.37679129, 73.87445444, 101.09339917, 98.16945394,\n", - " 92.92898124, 90.66471356, 93.52867569, 97.9904266 ,\n", - " 97.99498042, 95.80548969, 70.28193546, 94.87134413,\n", - " 107.72629936, 53.05747271, 70.79023081, 96.70603921,\n", - " 95.34288158, 95.50426059, 77.07128179, 103.98118448,\n", - " 69.05039388, 92.90396145, 96.81160634, 96.32162906,\n", - " 106.23163856, 78.85161046, 97.58754456, 59.22677966,\n", - " 81.28338652, 89.25450218, 71.29000521, 102.6598769 ,\n", - " 64.04684904, 71.26179302, 94.44137877, 61.68159714,\n", - " 103.41920509, 108.58090957, 104.01813504, 103.55318023,\n", - " 102.79512589, 105.20287001, 72.22247094, 107.95428306,\n", - " 92.73972387, 91.67544257, 103.9019666 , 97.55695018,\n", - " 94.26591798, 91.70847616, 96.30537013, 94.02166256,\n", - " 89.89048654, 99.70546072, 91.22140306, 136.24377961,\n", - " 125.17707587, 58.39603337, 98.30810862, 133.56523908,\n", - " 90.54061601, 93.91242401, 107.2846352 , 100.05415673,\n", - " 59.56259275, 135.63630469, 89.76685797, 57.52226801,\n", - " 100.46648164, 69.15910629, 98.77885144, 94.84232085,\n", - " 102.64659274, 107.4108183 , 106.28812078, 107.24056959,\n", - " 89.8771017 , 88.71132729, 94.67938539, 104.24769961,\n", - " 96.53802751, 89.90958517, 111.78076944, 96.66819929,\n", - " 91.69136591, 96.91967945, 95.79770591, 96.47063774,\n", - " 100.48666952, 99.14779195, 96.89520103, 96.92812814,\n", - " 106.89602067, 105.31628595, 100.56611763, 107.92002308,\n", - " 82.13292806, 131.48733877, 102.92270931, 85.92945777,\n", - " 78.49656928, 95.71665598, 86.38133386, 48.21399784,\n", - " 105.87287211, 126.8101643 , 94.86127115, 100.96808679,\n", - " 81.30506729, 95.87135948, 97.35639021, 93.75376772,\n", - " 103.75854433, 53.46800889, 100.74426228, 106.56306728,\n", - " 63.11430155, 97.74710021, 96.13530541, 97.9426811 ,\n", - " -1.6634491 , 71.84656107, 62.73745109, 156.01581119,\n", - " 102.47122337, -0.43046073, -0.79439855, 108.72518702,\n", - " 69.72044895, 83.63207746, 113.09530299, 21.84717125,\n", - " 30.90613084, 117.32705277, 75.72125831, 39.99 ,\n", - " 154.87653087, 150. , 1.72776122, 155.21524389,\n", - " 155.94925026, 83.14514694, 143.54861697, 107.86830843,\n", - " 107.45752686, -0.45749804, 171.28230053, 42.10052952,\n", - " 71.12409611, 160.86971853, 120.44151922, 97.24867284,\n", - " 75.72125834, 73.0128703 , 139.99 , 155.50495396,\n", - " 0. , 0. , 59.42321367, 77.1775514 ,\n", - " 46.194113 , 65.992685 , 32.31158659, 42.31905477,\n", - " 26.77547469, 34.73636605, 57.98471532, 55.26101454,\n", - " 50.82314356, 53.05624214, 57.88677769]), array([100.02494934, 130.06953027, 98.33936783, 71.91035826,\n", - " 106.99992596, 107.09427397, 108.04100375, 105.24013617,\n", - " 88.03857761, 55.92113637, 106.0652397 , 107.38967204,\n", - " 93.40770594, 99.8766637 , 100.04814038, 101.54839804,\n", - " 83.87675821, 86.48855397, 87.14319145, 98.2234275 ,\n", - " 102.16093573, 101.16607554, 97.77177871, 98.87738763,\n", - " 107.90313255, 106.529506 , 97.63186002, 95.39840309,\n", - " 68.86239757, 146.20333181, 95.18818677, 97.9008474 ,\n", - " 102.15512475, 64.81845297, 100.774994 , 70.96126936,\n", - " 90.84729968, 81.28908848, 47.36193879, 61.85709534,\n", - " 94.82562182, 97.17344278, 99.84875747, 95.27309213,\n", - " 107.84463926, 65.1845893 , 105.15881502, 73.03555517,\n", - " 107.88606864, 138.08430502, 105.57562495, 104.75837131,\n", - " 101.6303381 , 107.68919699, 72.94905015, 105.38015633,\n", - " 105.18856688, 108.11345774, 95.03044783, 54.61411524,\n", - " 92.58946325, 85.99334633, 95.15048408, 95.06617162,\n", - " 82.91382908, 89.34776322, 87.54388354, 85.09897321,\n", - " 94.36938342, 375.75688232, 81.86392929, 89.70020622,\n", - " 100.24770973, 100.77975881, 93.75264995, 95.20432065,\n", - " 46.93373184, 101.5087772 , 98.23196672, 94.38397437,\n", - " 45.07251841, 96.19422673, 84.20881523, 100.64122663,\n", - " 103.0572086 , 102.81099939, 95.63671933, 101.95356472,\n", - " 102.03405869, 52.44158421, 46.92312859, 99.19820777,\n", - " 80.51513923, 78.614805 , 94.57966738, 80.70103964,\n", - " 107.19527669, 107.20498261, 59.38963858, 94.52282208,\n", - " 88.35840726, 105.73900717, 79.2064107 , 90.41968261,\n", - " 98.45330923, 98.00321253, 95.39072097, 104.28930806,\n", - " 104.22456449, 100.77349966, 105.35965224, 101.07185863,\n", - " 121.93819846, 86.84714372, 75.92733557, 122.88077064,\n", - " 108.38348018, 113.26830671, 106.32792464, 127.27366933,\n", - " 92.98102418, 85.07326052, 86.39180748, 91.60797979,\n", - " 94.92176289, 145.23120369, 78.3977592 , 77.92031103,\n", - " 111.0494661 , 109.45308623, 102.1347666 , 94.66486718,\n", - " 104.72908653, 104.43531273, 99.9239012 , 102.16293038,\n", - " 113.08534321, 105.75507093, 106.30888207, 106.31309514,\n", - " 91.79649539, 89.64371557, 98.02013246, 104.37793033,\n", - " 101.67443988, 105.80698697, 105.65335959, 97.29140104,\n", - " 94.65546842, 114.93911911, 100.95645597, 81.44967469,\n", - " 118.65152047, 136.48328948, 92.41262656, 100.84309351,\n", - " 95.71376611, 96.432531 , 104.11128854, 54.16378673,\n", - " 55.12703596, 106.78529238, 103.48814955, 99.05658025,\n", - " 105.20558476, 105.20277702, 131.27649647, 113.49349213,\n", - " 95.62882992, 105.5633558 , 94.13968909, 99.73098531,\n", - " 96.33033432, 84.13348961, 72.65082697, 106.84840385,\n", - " 107.58045623, 85.01487567, 84.92227509, 104.43096983,\n", - " 107.91311967, 93.22236933, 101.51743866, 102.28953767,\n", - " 100.24439185, 62.33175406, 90.81059957, 85.48093072,\n", - " 89.41000458, 77.03150447, 71.09331484, 99.62788936,\n", - " 63.558459 , 104.7080685 , 107.97461825, 107.03250788,\n", - " 97.60160407, 101.73043252, 134.33356721, 101.18902979,\n", - " 107.36573303, 134.55791069, 96.96526783, 101.16076872,\n", - " 130.22178339, 98.41233391, 98.30797051, 93.84670279,\n", - " 104.20815164, 106.01885815, 106.56227223, 111.17179742,\n", - " 107.29734031, 121.19002802, 99.81915734, 80.15383765,\n", - " 107.90695123, 107.9071551 , 107.95818701, 107.31692673,\n", - " 102.55498942, 73.55875598, 85.42828197, 93.98365345,\n", - " 94.19118064, 101.63944625, 85.06080263, 84.4652685 ,\n", - " 95.54232199, 94.17243691, 98.92738861, 103.30089503,\n", - " 89.97377686, 88.32790432, 107.24439221, 97.30843316,\n", - " 88.28120404, 96.99945805, 102.62928988, 92.52623657,\n", - " 107.17452494, 105.78070609, 94.18009006, 105.79642275,\n", - " 102.95104961, 90.25511866, 70.67433802, 63.14144255,\n", - " 68.87908034, 96.4108509 , 95.36415709, 144.29717802,\n", - " 81.55619098, 99.34123696, 104.61595035, 107.72169366,\n", - " 98.19992149, 106.33019634, 98.56344414, 73.26855757,\n", - " 74.78168577, 90.86596968, 82.57726435, 87.83833241,\n", - " 99.69284278, 63.33116075, 77.07891965, 87.74293708,\n", - " 106.42257167, 130.00187289, 85.52180348, 91.23375705,\n", - " 102.87677654, 105.91816242, 105.70554185, 96.67657143,\n", - " 98.18448723, 93.38047738, 107.0061175 , 104.06375565,\n", - " 80.71213055, 102.03495882, 101.74075819, 102.1493038 ,\n", - " 106.6334601 , 85.33041779, 98.36710159, 84.91535298,\n", - " 72.87717312, 71.09752335, 142.77961171, 110.67310945,\n", - " 65.20349064, 67.14675836, 116.07357801, 103.97672479,\n", - " 82.45083086, 99.79051996, 67.72944244, 90.55396013,\n", - " 101.1130528 , 105.7891806 , 92.3681354 , 104.49748991,\n", - " 106.97698383, 103.66249006, 106.53164035, 104.29070216,\n", - " 87.56541986, 103.79207886, 98.15841542, 105.24099681,\n", - " 77.38720583, 76.96638071, 134.52633555, 134.75890971,\n", - " 103.55192087, 70.3683868 , 97.97889347, 91.4795159 ,\n", - " 105.18671447, 98.59705017, 81.36272319, 80.00761284,\n", - " 94.7259731 , 97.74105663, 97.35001961, 101.76896656,\n", - " 102.05698105, 103.24066486, 103.24741964, 110.13097829,\n", - " 97.30747993, 97.79955022, 88.74591088, 87.05357097,\n", - " 118.65602948, 115.39501409, 106.97800665, 100.47124187,\n", - " 94.2487847 , 79.25636735, 116.37405423, 90.19700691,\n", - " 100.42428653, 100.10461991, 103.7536479 , 100.7046776 ,\n", - " 90.91008121, 66.94338672, 104.07528683, 104.70468239,\n", - " 84.75286804, 97.54810703, 98.91774122, 101.48776207,\n", - " 119.86813791, 114.98848037, 106.01485768, 95.6291625 ,\n", - " 100.60030171, 98.88290867, 105.03460619, 103.92052002,\n", - " 106.7756698 , 122.51375175, 132.89052113, 107.08572544,\n", - " 107.25273167, 105.95241936, 105.20395194, 103.32738648,\n", - " 98.05071172, 105.78462745, 96.26206623, 94.46245016,\n", - " 101.88438601, 93.35815217, 78.71990395, 134.89048312,\n", - " 97.31881255, 111.69203124, 101.7084487 , 106.40441436,\n", - " 90.5479816 , 73.59893542, 42.43627674, 96.1667013 ,\n", - " 102.06463517, 116.79142926, 104.81318743, 105.35445124,\n", - " 97.16632166, 60.5365815 , 83.31718499, 105.89587145,\n", - " 96.75529252, 67.19260227, 106.3828641 , 107.10333593,\n", - " 106.21415738, 104.68062201, 64.95859787, 107.25467604,\n", - " 92.4699272 , 95.61181178, 104.76271073, 107.68089847,\n", - " 104.04544232, 97.70945209, 97.67615492, 96.63025318,\n", - " 67.30117272, 133.81197455, 90.04873493, 81.40794019,\n", - " 108.05053899, 106.80469601, 67.6029161 , 73.11249655,\n", - " 94.63199262, 103.92868895, 99.25526822, 98.50502494,\n", - " 98.51878042, 103.02012284, 95.80091792, 102.589027 ,\n", - " 101.76906838, 86.01980871, 102.80522758, 74.94884036,\n", - " 105.00797705, 84.79471503, 73.67422057, 105.98958541,\n", - " 91.43303178, 80.95877619, 106.65505853, 67.89063841,\n", - " 117.56803792, 119.54285438, 94.42041084, 98.22490515,\n", - " 97.36162312, 105.91775303, 93.22339355, 106.21619666,\n", - " 102.81887047, 102.23896395, 95.06828823, 112.6725089 ,\n", - " 53.57817004, 54.89948528, 83.22323533, 106.47688547,\n", - " 91.64009371, 56.53945472, 63.92145945, 106.22912729,\n", - " 106.80408037, 102.17084695, 93.11530117, 46.10671064,\n", - " 104.14646835, 94.81501518, 107.59018079, 94.99615229,\n", - " 101.45200988, 102.65856173, 97.88287762, 106.14969056,\n", - " 88.289175 , 77.67696896, 105.02482628, 99.01076862,\n", - " 107.63804153, 127.09148117, 97.56413698, 105.35071051,\n", - " 71.55033637, 58.60203483, 106.9509254 , 106.10017817,\n", - " 104.99254207, 105.47896583, 99.68742476, 131.63598522,\n", - " 95.62023064, 100.83482974, 101.52019479, 115.65848462,\n", - " 107.68963061, 105.83408288, 89.42006932, 65.32422075,\n", - " 65.53764393, 100.41878903, 95.93859172, 108.05328299,\n", - " 102.87559661, 51.80723108, 52.06378938, 76.34041103,\n", - " 107.50252267, 105.8618696 , 79.14736051, 103.83746938,\n", - " 107.08179538, 104.8715052 , 90.67971472, 84.68707435,\n", - " 100.47286209, 106.42692023, 106.82038914, 106.06088091,\n", - " 105.85157716, 96.6429996 , 101.65045287, 107.38690671,\n", - " 92.54228336, 104.52492249, 82.26229381, 102.19046865,\n", - " 103.35437937, 100.25905768, 102.42811114, 105.63905067,\n", - " 107.34777072, 98.92065705, 137.3645447 , 115.7961542 ,\n", - " 120.71645639, 99.75938603, 95.19101733, 94.25690912,\n", - " 94.54670122, 105.205469 , 106.23589436, 104.97899244,\n", - " 102.0122029 , 106.30877109, 107.25077577, 75.55550007,\n", - " 125.63572526, 95.53137958, 97.14115484, 100.59026167,\n", - " 100.09633005, 66.18457918, 111.39326861, 105.44915112,\n", - " 103.74648771, 92.1465984 , 95.43147285, 95.18895731,\n", - " 96.35643757, 108.25028417, 126.7959044 , 105.30054008,\n", - " 102.69808094, 102.42786727, 55.56522051, 104.49951222,\n", - " 104.39328036, 97.05010288, 92.52504163, 85.25863219,\n", - " 66.97329926, 97.63247391, 83.85189624, 87.12043564,\n", - " 103.10128159, 102.35644775, 104.22682961, 98.05857166,\n", - " 98.80767203, 104.07959482, 104.67789527, 71.25909592,\n", - " 103.92985466, 97.97309974, 102.84924252, 89.28483675,\n", - " 110.80881779, 93.41099067, 91.07119467, 101.92126684,\n", - " 132.53890573, 94.62504383, 96.96922557, 105.60687131,\n", - " 95.4472684 , 103.18042702, 101.18457507, 107.11391772,\n", - " 119.85264995, 98.96355583, 103.35545962, 96.9843239 ,\n", - " 98.80418364, 96.16317421, 99.05429291, 98.33400458,\n", - " 92.40946699, 106.42653143, 91.95184591, 101.80198335,\n", - " 106.21865864, 95.51078066, 101.90433829, 96.1014349 ,\n", - " 96.97050171, 113.43203249, 93.83813357, 101.23137884,\n", - " 105.55092748, 92.89879846, 72.63422359, 96.52745149,\n", - " 103.00294584, 100.68530918, 109.38238909, 98.85278754,\n", - " 107.25328809, 72.31595098, 99.67873239, 101.85079439,\n", - " 106.84111342, 114.35613616, 83.3511113 , 128.86107134,\n", - " 80.24274959, 79.83651741, 78.0908817 , 120.19893126,\n", - " 99.45533657, 97.69399913, 102.05388028, 94.46008263,\n", - " 65.30126287, 64.89546804, 106.26226977, 104.47777014,\n", - " 98.20991005, 106.13252801, 101.56233418, 105.02743004,\n", - " 103.76577934, 121.39114867, 82.83303907, 107.2428372 ,\n", - " 107.24923402, 105.31181359, 96.6866653 , 105.18277725,\n", - " 106.33142905, 97.43842071, 101.31474891, 104.1673337 ,\n", - " 108.06287208, 93.24710673, 94.52345049, 101.12964725,\n", - " 91.52454597, 94.31153156, 78.78837308, 98.51394351,\n", - " 98.50701813, 98.0296039 , 106.80421112, 106.63608408,\n", - " 71.69165742, 80.72468191, 90.54013957, 64.74318105,\n", - " 82.86555976, 104.69420395, 98.47075704, 90.35181385,\n", - " 102.78459131, 102.78408914, 105.20357507, 95.85703541,\n", - " 94.07994875, 106.87751103, 106.28029364, 76.84410714,\n", - " 71.39762498, 106.50226949, 105.87285931, 90.35406653,\n", - " 78.13964746, 105.1476008 , 101.58150916, 90.97386232,\n", - " 110.64034398, 94.87244848, 100.77296633, 91.33576966,\n", - " 107.31300755, 67.94296294, 72.54703646, 99.15523017,\n", - " 82.44315864, 101.77220902, 99.43233637, 70.52329428,\n", - " 103.14059688, 87.59417581, 88.41423322, 101.94014964,\n", - " 94.60634297, 96.46990787, 102.19885025, 54.13218138,\n", - " 71.9682357 , 106.67515425, 67.08424797, 77.10097215,\n", - " 67.5096026 , 93.16146031, 71.07040475, 98.6674373 ,\n", - " 120.35266379, 82.9988871 , 78.32025234, 72.96518703,\n", - " 97.09131135, 80.17462838, 91.98619593, 74.3107677 ,\n", - " 106.39126397, 74.36716967, 95.8667551 , 96.33721238,\n", - " 105.26471318, 104.23202925, 97.43086801, 84.26971527,\n", - " 107.2537007 , 100.48231142, 101.80804384, 54.79992266,\n", - " 107.88841097, 88.14072556, 94.96645685, 95.2146253 ,\n", - " 76.21232122, 105.1950385 , 90.01086609, 99.08418645,\n", - " 63.68304452, 104.92611354, 123.92973774, 97.50372486,\n", - " 79.07155005, 94.96167954, 106.35294749, 95.59398801,\n", - " 64.37646197, 81.11218409, 83.42790062, 89.2880979 ,\n", - " 99.22302066, 74.61277889, 100.90552058, 97.99178552,\n", - " 93.73096706, 90.71968755, 94.09260983, 97.81146978,\n", - " 97.83464712, 95.65234092, 70.34390762, 94.7103936 ,\n", - " 107.57120458, 52.90094459, 71.64891359, 96.55284097,\n", - " 95.17605206, 95.35111174, 76.91405477, 103.77172644,\n", - " 69.15628038, 92.75165377, 96.63383264, 96.34387192,\n", - " 106.04376034, 78.69977172, 97.43434633, 59.91337745,\n", - " 81.85365515, 89.27683181, 71.80264275, 102.48314796,\n", - " 64.11490364, 71.12929466, 94.41434761, 61.86641957,\n", - " 103.24083274, 108.38362445, 103.84905653, 103.36026648,\n", - " 102.81884877, 105.18431549, 73.07882694, 107.74208825,\n", - " 92.71269265, 93.88880088, 103.7236704 , 97.6175747 ,\n", - " 94.22306163, 91.6390266 , 96.26265341, 93.97894583,\n", - " 90.14770219, 99.63301047, 91.14895283, 136.36876455,\n", - " 126.9123918 , 59.0831573 , 98.13135831, 133.63630829,\n", - " 92.58656532, 94.16964856, 107.25328746, 99.83364033,\n", - " 59.38370797, 135.76134979, 89.68311625, 58.02279805,\n", - " 100.28195166, 69.08516472, 98.71132593, 94.65443735,\n", - " 102.48972603, 107.22071042, 108.25944716, 107.02861226,\n", - " 90.13430791, 88.64600743, 94.52218069, 104.15115763,\n", - " 96.56045995, 89.94165294, 112.26798744, 96.48135016,\n", - " 93.85397399, 96.94233517, 95.62030918, 96.29487961,\n", - " 100.44298051, 98.9374209 , 96.86384647, 96.89677384,\n", - " 106.69378701, 105.37452338, 100.38084505, 107.76493557,\n", - " 81.93344212, 131.28489753, 102.87907938, 85.79358969,\n", - " 78.36125432, 95.68634754, 86.95173059, 48.42786994,\n", - " 105.69096384, 126.60772336, 94.81844113, 100.83796929,\n", - " 81.15207669, 95.71794484, 97.20324215, 93.55415044,\n", - " 103.57429202, 53.42807614, 100.58359648, 106.38240509,\n", - " 63.14021986, 97.81538066, 95.98407744, 97.78927933,\n", - " -1.6634491 , 72.21564421, 63.48794763, 155.6370879 ,\n", - " 102.84924252, -0.43046861, -0.79440647, 108.5470996 ,\n", - " 70.06723521, 84.43912868, 113.93238125, 22.22427778,\n", - " 30.83279141, 117.81427077, 76.38405324, 39.99 ,\n", - " 157.00073555, 150. , 1.72776122, 156.09180647,\n", - " 158.0453548 , 83.90994071, 143.3875072 , 107.69587222,\n", - " 107.28473173, -0.45752617, 171.23270682, 42.94682107,\n", - " 71.47450165, 161.23422486, 120.46688087, 99.14888932,\n", - " 76.38405326, 73.14027221, 139.99 , 156.39028081,\n", - " 0. , 0. , 59.0697768 , 77.02382441,\n", - " 46.194113 , 65.48364991, 32.14686103, 42.31905477,\n", - " 26.77547469, 34.76204099, 57.76210423, 54.99261597,\n", - " 50.82314356, 52.11097643, 58.84660775]), array([ 78.30171066, 129.89277601, 94.60799187, 68.1789823 ,\n", - " 106.1668236 , 106.21987052, 107.16764765, 104.50877179,\n", - " 86.9796401 , 54.85548536, 104.99404036, 106.32229186,\n", - " 90.87425655, 99.13498992, 99.21907267, 100.71933033,\n", - " 79.70373848, 83.56464641, 86.26694999, 97.34718604,\n", - " 101.42770122, 100.4360607 , 96.9420054 , 98.82227999,\n", - " 106.8406946 , 105.48533457, 96.80184912, 94.4561348 ,\n", - " 67.92012928, 146.12299156, 94.68582003, 96.95871528,\n", - " 101.21300033, 63.77134145, 98.19854073, 69.91415662,\n", - " 89.80019897, 80.24198777, 46.31483153, 60.80998556,\n", - " 92.89006022, 95.23788118, 97.22542442, 91.09771222,\n", - " 107.00235596, 65.19499039, 105.08085395, 72.96591197,\n", - " 107.03759002, 137.90755075, 104.83794293, 103.99487014,\n", - " 100.791323 , 106.84749297, 71.01348855, 103.44459474,\n", - " 103.25300528, 107.84940533, 94.9922819 , 54.35006283,\n", - " 91.62582542, 84.29244016, 95.10628443, 95.02197197,\n", - " 81.866709 , 88.30064315, 87.48815646, 85.04324613,\n", - " 93.32221486, 373.2926376 , 80.81680246, 88.6531055 ,\n", - " 99.94118245, 100.47323153, 92.81038165, 95.12635958,\n", - " 46.85577078, 101.42202036, 98.14590489, 94.33977472,\n", - " 45.04714446, 95.93017502, 83.94476352, 100.57158342,\n", - " 102.12427246, 101.88954176, 94.5895439 , 101.82106368,\n", - " 101.90588987, 51.39448157, 45.87602291, 99.14306425,\n", - " 79.46801323, 77.56768492, 94.31561563, 80.43698789,\n", - " 106.35357267, 106.36327859, 59.32989596, 94.46307945,\n", - " 88.09435957, 105.73900717, 78.70404253, 90.41968261,\n", - " 97.36560385, 96.91447002, 95.34652132, 104.14696755,\n", - " 103.44165532, 100.01758219, 105.18675605, 100.89896244,\n", - " 121.93819846, 78.64098443, 67.72117628, 122.88077064,\n", - " 108.21058398, 113.19866238, 106.25828031, 127.27366933,\n", - " 92.98102418, 73.77495435, 75.18235419, 81.57292294,\n", - " 84.88670603, 145.15086344, 78.23954115, 77.76209298,\n", - " 102.34464198, 101.08848995, 100.199205 , 92.72930558,\n", - " 104.58012491, 104.28769885, 99.87970155, 102.11873073,\n", - " 92.67544644, 103.81950933, 105.47386065, 105.47611247,\n", - " 91.72073856, 89.56795875, 97.97593281, 104.33373068,\n", - " 101.547196 , 104.78110653, 104.63432209, 76.88150427,\n", - " 94.59974134, 114.8479288 , 100.90100311, 78.95120798,\n", - " 118.65152047, 136.30653522, 92.3872526 , 100.67019731,\n", - " 95.49240074, 96.20369597, 103.06711711, 52.62694657,\n", - " 53.46393116, 105.94382346, 103.4439499 , 99.0123806 ,\n", - " 105.16138511, 105.15857738, 131.18673532, 113.40804136,\n", - " 95.40954912, 104.51918437, 91.51449572, 97.10579194,\n", - " 96.1179968 , 83.08638858, 71.60372594, 105.99363851,\n", - " 106.73711203, 83.96777895, 83.87517727, 102.75749811,\n", - " 106.86894824, 90.55767341, 98.86425982, 101.34863652,\n", - " 99.30214432, 60.88702009, 86.68512744, 81.35545859,\n", - " 85.90638113, 73.52788102, 70.27027051, 98.74044725,\n", - " 62.73541467, 104.40878221, 107.68366802, 106.30114349,\n", - " 97.51883884, 101.64766729, 134.10303321, 100.35030058,\n", - " 106.52284188, 134.38115643, 96.02177203, 98.5683484 ,\n", - " 130.15213902, 97.32913038, 97.22353198, 89.7266538 ,\n", - " 100.17633132, 105.17628393, 105.71981002, 103.28563634,\n", - " 99.10676752, 120.68766181, 94.83012677, 75.16480708,\n", - " 106.83504845, 106.83569043, 100.37943705, 99.70145411,\n", - " 99.35240134, 70.3561679 , 84.3811821 , 93.98365345,\n", - " 90.06570851, 98.91497432, 84.01370177, 83.41816741,\n", - " 94.49511406, 91.50774099, 98.86975608, 103.2411524 ,\n", - " 89.97377686, 88.32790432, 104.64152762, 96.55688303,\n", - " 85.0138347 , 96.27100765, 101.55835979, 92.50086262,\n", - " 106.31791233, 105.17596427, 93.57534824, 105.06443916,\n", - " 102.28920491, 90.25511866, 66.94296206, 59.87407321,\n", - " 65.14770438, 95.94190734, 94.75930537, 144.21683777,\n", - " 81.29214289, 95.58490769, 103.78352117, 106.88667224,\n", - " 97.5755486 , 105.28681327, 97.93907126, 72.32628928,\n", - " 73.83941747, 90.36360294, 82.0748976 , 86.73627582,\n", - " 98.62153395, 59.59978479, 77.02464484, 87.68853082,\n", - " 105.61120541, 129.92153264, 84.69875915, 90.41071272,\n", - " 101.93611441, 105.87396277, 105.6613422 , 94.61142627,\n", - " 97.09977415, 90.70121537, 98.30129339, 95.35893154,\n", - " 77.2085071 , 99.58386572, 99.28992848, 102.0302355 ,\n", - " 106.5143918 , 84.72567598, 97.27963103, 84.31061117,\n", - " 71.83005716, 70.0504074 , 142.66699495, 110.56688647,\n", - " 64.38044631, 66.32371403, 115.57121127, 103.47435805,\n", - " 80.38568571, 99.52647227, 65.66429728, 70.7101159 ,\n", - " 101.03112327, 105.70725107, 89.57905725, 103.89274809,\n", - " 106.37224201, 103.61829041, 106.4874407 , 103.45981628,\n", - " 87.30137217, 102.96190733, 97.28225702, 104.3982884 ,\n", - " 76.5641615 , 76.14333638, 134.45669045, 134.6892646 ,\n", - " 102.72415867, 68.30324165, 97.03662518, 90.65647157,\n", - " 105.14251482, 97.50830766, 68.56481401, 68.03955315,\n", - " 92.79041151, 97.69685698, 96.26162071, 101.69001639,\n", - " 101.23075148, 102.41257409, 102.4191048 , 110.13097829,\n", - " 96.48443561, 96.97214493, 87.6988101 , 86.00647018,\n", - " 118.65602948, 115.39501409, 106.13784305, 99.38284297,\n", - " 94.22341075, 79.2309934 , 116.37405423, 90.19700691,\n", - " 99.67807903, 99.36098958, 102.9543373 , 92.34008132,\n", - " 90.83212015, 66.86542566, 102.2806591 , 104.04023403,\n", - " 76.56229525, 96.8230336 , 98.22940095, 100.6488354 ,\n", - " 119.86813791, 114.98848037, 105.23958242, 94.80611817,\n", - " 99.85252045, 98.14430155, 104.29569841, 103.0906587 ,\n", - " 105.94398881, 122.01138501, 132.38815439, 104.44932183,\n", - " 104.64279287, 105.06682905, 104.31887033, 102.49749588,\n", - " 97.31599757, 104.73735994, 92.75844278, 94.38448909,\n", - " 100.83862316, 92.31105736, 78.21753572, 134.3881149 ,\n", - " 96.37653039, 102.98720712, 97.97300298, 105.66798021,\n", - " 82.34182231, 65.39277613, 42.35831567, 88.05572328,\n", - " 96.67633419, 116.28906104, 104.60906425, 105.1457948 ,\n", - " 94.44184973, 56.80113577, 80.59271306, 104.85170002,\n", - " 95.71112109, 67.03438422, 106.22464605, 107.0214064 ,\n", - " 105.14267547, 103.6091401 , 63.89966036, 104.6478154 ,\n", - " 91.52765891, 95.58643783, 104.10197828, 106.80902296,\n", - " 100.08162307, 96.94780192, 96.91453356, 88.74409211,\n", - " 66.25407169, 133.63522029, 87.98358977, 80.46567189,\n", - " 107.96893194, 106.71960235, 65.38458964, 71.0514806 ,\n", - " 93.5314766 , 103.05453997, 98.31325313, 97.74298227,\n", - " 97.7570359 , 101.9492743 , 94.97143179, 101.78119542,\n", - " 100.97250395, 85.75576101, 102.72726651, 74.8708793 ,\n", - " 104.12523248, 76.58855574, 62.26701239, 105.15726812,\n", - " 87.30755966, 80.12917784, 106.61085889, 63.71754309,\n", - " 117.49839359, 119.47321005, 94.34465402, 97.17929063,\n", - " 96.31885299, 103.30805628, 92.28112527, 103.60649991,\n", - " 101.87674151, 101.29683499, 94.3485631 , 112.55989214,\n", - " 49.53390261, 50.85521785, 80.29932778, 105.70161021,\n", - " 90.69782543, 52.80807877, 62.97919116, 106.18492765,\n", - " 104.16738965, 102.05953795, 93.07003679, 46.06144626,\n", - " 103.26973412, 93.9227168 , 106.75572751, 94.0556968 ,\n", - " 101.17983435, 101.83199175, 97.06029215, 105.07822606,\n", - " 80.08301571, 69.47080967, 104.29438357, 98.32588292,\n", - " 106.80424311, 126.93326312, 94.05732955, 101.84390308,\n", - " 66.16203539, 53.21373385, 106.1107618 , 105.96767713,\n", - " 104.1239567 , 104.61038047, 90.59383651, 131.45923096,\n", - " 95.00390769, 91.9075051 , 92.59287015, 115.56727505,\n", - " 107.64557319, 105.79002545, 85.3758019 , 57.11806146,\n", - " 57.33148464, 99.54466838, 94.85019282, 107.18469762,\n", - " 101.93487914, 50.76012939, 51.01668697, 75.29329507,\n", - " 106.67180535, 105.03291942, 79.08761789, 103.77125369,\n", - " 106.25004687, 104.80528951, 90.61349903, 83.63997336,\n", - " 99.44521562, 105.36542307, 105.75853507, 105.12625202,\n", - " 104.83573485, 96.59879995, 101.14808465, 106.55668776,\n", - " 91.43866769, 104.49954854, 80.56138764, 101.30349593,\n", - " 102.41324202, 100.2033306 , 101.37327733, 104.98048008,\n", - " 107.3030972 , 98.17898276, 137.220732 , 115.72650987,\n", - " 120.71645639, 99.75938603, 95.14538005, 94.21134787,\n", - " 92.08311682, 104.37303975, 105.40105008, 104.14655425,\n", - " 101.74815509, 105.47397731, 104.63772231, 73.85459389,\n", - " 125.13335851, 94.4426955 , 96.41582668, 99.64799338,\n", - " 95.23124519, 58.07360116, 111.39326861, 101.7137054 ,\n", - " 97.73838936, 81.17554763, 91.31142386, 94.35919424,\n", - " 95.526681 , 102.0273654 , 126.53185179, 104.5629979 ,\n", - " 101.67625376, 98.69242155, 54.44504971, 100.47634557,\n", - " 103.51510089, 96.16636618, 88.50159072, 77.0524729 ,\n", - " 58.76713997, 96.80326998, 83.80769659, 86.6180689 ,\n", - " 102.15901331, 101.41445824, 101.61713286, 97.93132777,\n", - " 98.68042814, 103.99766528, 104.59596574, 70.75672917,\n", - " 103.84845614, 97.89170122, 99.64665445, 88.34256847,\n", - " 110.73917269, 93.34134557, 86.94572254, 101.84330577,\n", - " 132.46926139, 93.72256122, 96.09160547, 100.68294781,\n", - " 90.5233449 , 102.33872299, 97.98198661, 106.2722137 ,\n", - " 119.78300485, 98.39540429, 103.14644921, 95.895925 ,\n", - " 97.71578474, 95.11647187, 98.44955109, 97.72926276,\n", - " 88.28399486, 105.6849324 , 87.82637379, 101.68276075,\n", - " 106.17445899, 95.46551663, 100.85899101, 95.013036 ,\n", - " 95.88210281, 105.9136407 , 92.89586529, 100.28911055,\n", - " 104.78111961, 91.95653018, 71.69195531, 95.58518321,\n", - " 102.0445817 , 99.72694503, 108.88002234, 98.82741359,\n", - " 104.64424086, 70.25493503, 98.92776262, 98.81763871,\n", - " 106.77489773, 114.35613616, 83.27315023, 128.86107134,\n", - " 79.97870178, 79.01347308, 77.26783737, 120.19893126,\n", - " 98.70513046, 95.75843753, 101.55151354, 93.95771589,\n", - " 57.09510358, 56.68930875, 106.1843087 , 102.02667704,\n", - " 97.33186311, 105.08777693, 101.48338402, 104.76338196,\n", - " 103.72157969, 121.39114867, 78.50859668, 104.61704089,\n", - " 104.63371707, 105.10315677, 95.80884647, 105.1385776 ,\n", - " 105.49911974, 96.35002181, 100.47586127, 102.74660888,\n", - " 107.2207365 , 92.30483845, 92.06067216, 98.67788243,\n", - " 90.42089006, 93.20787565, 77.84610479, 97.57269188,\n", - " 97.61349747, 97.19957723, 105.97264646, 106.59188443,\n", - " 61.65660056, 79.63599784, 90.51476562, 56.53702176,\n", - " 76.85746142, 96.77038058, 97.40543056, 82.42799049,\n", - " 99.58200324, 99.58150107, 105.15937542, 94.85510518,\n", - " 93.03078856, 104.2420023 , 103.6447849 , 76.01448792,\n", - " 70.56800576, 105.454983 , 104.99206628, 89.41179825,\n", - " 66.84134129, 104.3053978 , 101.45015549, 90.03159404,\n", - " 110.64034398, 93.93011478, 100.56157519, 89.40020806,\n", - " 107.10435111, 67.88893406, 68.37401672, 98.65286343,\n", - " 78.32310966, 100.97746436, 98.6593637 , 67.32070621,\n", - " 102.93158647, 85.65861421, 88.41423322, 101.85738441,\n", - " 93.7145942 , 96.42570822, 102.19885025, 54.08733649,\n", - " 70.92111974, 102.75423872, 58.87808868, 76.59860541,\n", - " 62.64451775, 93.08349925, 70.99244369, 97.72530834,\n", - " 119.85029557, 82.91993693, 77.49720801, 72.46282029,\n", - " 96.15937944, 80.14925443, 91.04392765, 66.73201774,\n", - " 105.34660597, 73.54412534, 94.92448682, 96.31183843,\n", - " 105.05605636, 104.02337243, 96.60076537, 82.33415367,\n", - " 104.64530409, 99.39391252, 101.69576484, 53.75282163,\n", - " 107.81876587, 87.87667376, 93.87805795, 94.1262264 ,\n", - " 76.13337105, 104.3950646 , 89.85264803, 98.47944463,\n", - " 63.4189926 , 104.71745671, 123.92973774, 96.67565674,\n", - " 78.02444862, 92.3085007 , 105.55225144, 95.52434291,\n", - " 62.1581355 , 78.32310594, 81.72699444, 88.23235272,\n", - " 98.13830758, 74.34872705, 100.67668555, 97.16282523,\n", - " 85.25384274, 89.77741926, 93.59024309, 96.98888431,\n", - " 97.76500172, 94.56394202, 69.40163934, 93.70846338,\n", - " 106.49961943, 51.84519941, 61.61385674, 95.461428 ,\n", - " 94.24340879, 94.26271284, 75.86693881, 103.72752679,\n", - " 69.13090643, 91.64803811, 95.80530339, 95.40156592,\n", - " 105.81492532, 77.58975467, 96.34293337, 57.69505098,\n", - " 81.3512884 , 88.3344981 , 71.6444247 , 102.17662068,\n", - " 63.17263535, 69.78079411, 91.74965169, 57.84296865,\n", - " 102.41250711, 108.21071177, 102.98047116, 102.67192622,\n", - " 101.87671981, 105.14011584, 61.86937366, 107.69803152,\n", - " 90.04799673, 93.86342692, 103.67947075, 93.80236072,\n", - " 91.760593 , 91.58329952, 93.79840868, 91.51470111,\n", - " 86.02223007, 97.54012028, 89.05606264, 136.19201029,\n", - " 126.9123918 , 56.86483083, 98.08715866, 133.49249558,\n", - " 92.58656532, 90.04417643, 104.64424023, 99.79000392,\n", - " 58.56066364, 135.58459553, 89.62797273, 57.86457999,\n", - " 99.51851475, 67.02001956, 96.55713014, 93.92075933,\n", - " 101.43910194, 107.13910338, 108.25944716, 106.93596469,\n", - " 86.00883578, 88.59028035, 93.47431236, 102.3565299 ,\n", - " 95.61812624, 88.99931923, 112.00393507, 95.73785756,\n", - " 93.85397399, 96.00003765, 94.79290389, 95.46512304,\n", - " 97.9921508 , 98.89336347, 94.25414972, 94.28707709,\n", - " 106.57471871, 101.58984167, 99.62498343, 106.69326317,\n", - " 81.32870031, 131.2152532 , 100.42824966, 84.74648897,\n", - " 77.31415361, 93.06301449, 86.44936384, 48.40249599,\n", - " 104.90656603, 126.53807903, 92.3556628 , 100.08205182,\n", - " 80.0636778 , 94.62954594, 96.11484326, 93.50888605,\n", - " 102.80991516, 53.37404727, 99.57573477, 105.58170023,\n", - " 63.1506012 , 96.87311238, 94.89539337, 96.70059526,\n", - " -1.6634491 , 67.83796487, 61.13940788, 154.95642301,\n", - " 99.64665445, -0.43050783, -0.79444558, 108.25666528,\n", - " 65.9710123 , 75.91932239, 93.60727282, 20.66522555,\n", - " 30.77893247, 117.5502184 , 75.88168501, 39.99 ,\n", - " 151.91075774, 149.45592892, 1.72776122, 149.20236911,\n", - " 153.01260277, 76.4500785 , 143.3178618 , 106.84813895,\n", - " 106.44279434, -0.45757233, 171.11714416, 31.9337727 ,\n", - " 57.4751045 , 160.79637686, 120.47690286, 98.88484163,\n", - " 75.88168503, 73.1506733 , 139.99 , 149.45592912,\n", - " 0. , 0. , 59.00013375, 76.9953895 ,\n", - " 46.194113 , 65.38638964, 32.12463877, 42.31905477,\n", - " 26.77547469, 34.77244894, 57.71857266, 54.95111451,\n", - " 50.82314356, 52.59805224, 57.8854758 ]), array([ 77.93515981, 129.27374975, 94.23472715, 67.80745953,\n", - " 105.60377031, 105.65919158, 106.6069512 , 103.93057656,\n", - " 86.42272448, 54.29875258, 104.43642884, 105.76435172,\n", - " 90.72924272, 98.5587962 , 98.65673395, 100.15699162,\n", - " 79.38526336, 83.15499559, 85.70634922, 96.78657999,\n", - " 100.84951349, 99.85760669, 96.37979459, 98.62375252,\n", - " 106.28204053, 104.92570123, 96.23968214, 93.99201088,\n", - " 67.46089702, 145.98470726, 94.8350149 , 96.48763465,\n", - " 100.74191594, 63.21189385, 97.68498612, 69.35470882,\n", - " 89.24677755, 79.68859389, 45.75538453, 60.25053824,\n", - " 92.41017715, 94.75800689, 96.71313433, 90.6255357 ,\n", - " 106.44192038, 65.25287771, 104.82305668, 72.58227968,\n", - " 106.47685812, 137.29143556, 104.26085111, 103.42075377,\n", - " 100.2299631 , 106.28688993, 70.53384759, 102.9642617 ,\n", - " 102.77270762, 107.92765454, 94.82954598, 54.42861669,\n", - " 91.15555589, 83.87982891, 94.92255374, 94.83895021,\n", - " 81.30725964, 87.74133726, 87.29267716, 84.85163643,\n", - " 92.76275375, 372.77619347, 80.25735014, 88.09365935,\n", - " 99.60055286, 100.13260194, 92.33943722, 94.86871605,\n", - " 46.59814319, 101.14008905, 97.86589913, 94.15622794,\n", - " 44.91663346, 96.12279168, 84.13739056, 100.18799177,\n", - " 101.65066229, 101.41288082, 94.03008128, 101.5277247 ,\n", - " 101.61365156, 50.83503488, 45.31657606, 98.94428231,\n", - " 78.90856126, 77.00823542, 94.5037124 , 80.62509022,\n", - " 105.79296967, 105.80267559, 59.1094696 , 94.24262785,\n", - " 88.78537371, 106.52557489, 78.88653866, 91.20635308,\n", - " 96.80919874, 96.35810323, 95.16309703, 103.85111287,\n", - " 102.9330951 , 99.51861841, 104.8830639 , 100.59530455,\n", - " 122.62833228, 78.43282975, 67.51232316, 123.62237223,\n", - " 107.90688943, 112.86717794, 105.92681376, 127.91024371,\n", - " 93.72267141, 73.5285616 , 74.93846505, 81.35209769,\n", - " 84.66348621, 145.00579398, 78.34074429, 77.86337477,\n", - " 102.15140136, 100.90605777, 99.71874228, 92.24940104,\n", - " 104.28257559, 103.9904954 , 99.70000688, 101.93689329,\n", - " 92.30341905, 103.33795795, 104.91057859, 104.91280769,\n", - " 91.64150159, 89.49009032, 97.72654802, 104.13995581,\n", - " 101.25527888, 104.22289667, 104.07610324, 76.50947762,\n", - " 94.3967002 , 114.76679944, 100.69996344, 78.43576338,\n", - " 119.36834493, 135.90596794, 92.89783032, 100.36678726,\n", - " 95.17597102, 95.88526545, 102.50750562, 52.08375475,\n", - " 52.92438805, 105.38063505, 103.19404613, 98.76565939,\n", - " 104.96899008, 104.9662597 , 131.10918098, 113.33393484,\n", - " 95.09367589, 103.9595731 , 91.00275246, 96.59404887,\n", - " 95.80396597, 82.52694193, 71.04428515, 105.43260507,\n", - " 106.17586485, 83.40832709, 83.31572676, 102.2565893 ,\n", - " 106.30933996, 90.04702583, 98.35322908, 100.87661354,\n", - " 98.83017094, 60.3411652 , 86.29623258, 80.96677601,\n", - " 85.4207395 , 73.04223901, 69.70784166, 98.17936678,\n", - " 62.17173191, 104.07069103, 107.34849858, 105.72297141,\n", - " 97.24790538, 101.37673385, 133.48946518, 99.78887287,\n", - " 105.96164403, 133.97991492, 95.46204662, 98.05524304,\n", - " 129.8133386 , 96.77242661, 96.66690756, 89.25518924,\n", - " 99.70600023, 104.61528727, 105.1587918 , 103.10140445,\n", - " 98.92577689, 120.71808344, 94.57293125, 74.99153506,\n", - " 106.27745812, 106.27808701, 100.18286422, 99.50509996,\n", - " 99.10523477, 70.10979203, 83.82173407, 94.67437404,\n", - " 89.67684778, 98.72045557, 83.45425491, 82.85872073,\n", - " 93.9356461 , 90.99709542, 98.65038422, 103.01825405,\n", - " 90.75470016, 89.10783508, 104.12876544, 95.98270711,\n", - " 84.74868317, 95.69356373, 101.00086609, 93.0042416 ,\n", - " 105.75691367, 104.58332926, 92.98278022, 104.48628016,\n", - " 101.7030364 , 91.03775629, 66.57144615, 59.6090852 ,\n", - " 64.77618992, 95.33397581, 94.16718601, 144.07855412,\n", - " 81.86736006, 95.20237857, 103.21988119, 106.32368881,\n", - " 96.98504753, 104.72713685, 97.34855392, 71.8686801 ,\n", - " 73.38181662, 90.51377095, 82.22516533, 86.18040454,\n", - " 98.06470056, 59.22898395, 76.83189882, 87.49497822,\n", - " 105.03947719, 129.7831404 , 84.13506158, 89.84701461,\n", - " 101.46410847, 105.69170407, 105.47908709, 94.08348525,\n", - " 96.54316822, 90.19104162, 98.10866785, 95.16885826,\n", - " 76.72286501, 99.06705963, 98.773115 , 101.74029694,\n", - " 106.22615266, 84.13307682, 96.72321019, 83.71806473,\n", - " 71.27060879, 69.49095903, 142.53818019, 110.45376458,\n", - " 63.816749 , 65.76001661, 115.712125 , 103.62217284,\n", - " 79.85776209, 100.12540277, 65.13665957, 70.34853135,\n", - " 100.76245741, 105.43858528, 89.15960399, 103.30011303,\n", - " 105.77960636, 103.36830122, 106.2388826 , 102.896533 ,\n", - " 87.99013012, 102.39859426, 96.72165677, 103.83725241,\n", - " 76.00047339, 75.57964839, 134.13554963, 134.36813392,\n", - " 102.16060723, 67.77531813, 96.56665467, 90.09277371,\n", - " 104.9506397 , 96.95194087, 68.16527824, 67.63314223,\n", - " 92.31052338, 97.51069681, 95.70523662, 101.61751691,\n", - " 100.66697529, 101.84866345, 101.85531005, 110.90906271,\n", - " 95.92072124, 96.40944477, 87.13936382, 85.44702391,\n", - " 119.37348421, 116.11250223, 105.57456537, 98.82646754,\n", - " 94.69365611, 79.70164046, 117.15571885, 90.97926866,\n", - " 99.10232207, 98.78498435, 102.38545485, 92.15818264,\n", - " 90.57449626, 66.6078019 , 101.7441681 , 103.45435832,\n", - " 76.38139185, 96.24508988, 97.6469681 , 100.08745426,\n", - " 120.63352007, 115.73808511, 104.66666718, 94.24240903,\n", - " 99.2769151 , 97.56781242, 103.71880319, 102.52733688,\n", - " 105.38203864, 122.12358268, 132.50175202, 103.93772244,\n", - " 104.13027944, 104.50567351, 103.7577038 , 101.93417068,\n", - " 96.73910071, 104.17788205, 92.27280037, 94.12685679,\n", - " 100.27909407, 91.75160547, 78.42715906, 134.59786257,\n", - " 95.90451954, 102.79403506, 97.59863989, 105.09069 ,\n", - " 82.11733429, 65.17830779, 42.10069215, 87.83004746,\n", - " 96.42551069, 116.48825482, 104.29720864, 104.83277099,\n", - " 94.26645474, 56.43243751, 80.41878415, 104.29208633,\n", - " 95.15150819, 67.13879688, 106.33041939, 106.75274062,\n", - " 104.58507256, 103.05153719, 63.34311708, 104.13519396,\n", - " 91.06835137, 95.54050085, 103.51568296, 106.24830064,\n", - " 99.64197488, 96.37502955, 96.3417589 , 88.56163533,\n", - " 65.69463097, 133.23423573, 87.4556605 , 80.00774832,\n", - " 107.68951918, 106.43846909, 65.00986467, 70.66556599,\n", - " 92.9755388 , 102.49382611, 97.84186339, 97.17024085,\n", - " 97.18427099, 101.39175399, 94.40918648, 101.21439448,\n", - " 100.40396561, 86.44470842, 102.46949519, 74.61310816,\n", - " 103.56400905, 76.38040151, 62.01739107, 104.59401189,\n", - " 86.91858251, 79.56696968, 106.35597909, 63.38372359,\n", - " 117.16324029, 119.13752288, 94.26699701, 96.62201354,\n", - " 95.76147642, 102.79540817, 91.82514491, 103.09385217,\n", - " 101.40568437, 100.82577843, 93.77009326, 112.43107826,\n", - " 49.12652544, 50.44815438, 79.89294123, 105.12869497,\n", - " 90.24185879, 52.43697676, 62.52905277, 106.00253325,\n", - " 103.6558001 , 101.77153246, 92.8127499 , 45.80415947,\n", - " 102.70894948, 93.36182815, 106.19254588, 93.4959039 ,\n", - " 100.84973269, 101.26834721, 96.49646657, 104.52062263,\n", - " 79.87408838, 69.25938474, 103.71650103, 97.74302836,\n", - " 106.24123498, 126.91310234, 93.72764745, 101.514221 ,\n", - " 65.91220432, 52.96423459, 105.54748412, 105.67438299,\n", - " 103.56396572, 104.05038826, 90.37469318, 130.84103711,\n", - " 94.41312303, 91.68706476, 92.37251418, 115.48609317,\n", - " 107.38320079, 105.52801553, 84.96435811, 56.90620717,\n", - " 57.12091308, 98.98450321, 94.29381699, 106.6244047 ,\n", - " 101.46288155, 50.20068273, 50.4572403 , 74.73384668,\n", - " 106.10940598, 104.46969655, 78.86748938, 103.49746957,\n", - " 105.6868684 , 104.53150515, 90.33968489, 83.08052669,\n", - " 98.88737905, 104.80701657, 105.20011845, 104.56621254,\n", - " 104.2775114 , 96.41655401, 101.34772854, 105.99338977,\n", - " 90.88284243, 104.49905452, 80.14878098, 100.74238019,\n", - " 101.85336749, 100.00910998, 100.81576445, 104.39393913,\n", - " 107.04437569, 97.60287306, 137.23005418, 115.39503089,\n", - " 121.48608608, 100.53125761, 94.88938663, 93.95513609,\n", - " 91.56665357, 103.80958394, 104.83776988, 103.58308092,\n", - " 102.34264155, 104.91070524, 104.12531783, 73.44198731,\n", - " 125.25461602, 93.88719538, 95.83794166, 99.17813273,\n", - " 94.96415351, 57.86706039, 111.67706768, 101.33908141,\n", - " 97.56118066, 80.93697089, 90.83996117, 93.79704248,\n", - " 94.96452685, 101.8445425 , 126.57113627, 103.98590435,\n", - " 101.11823525, 98.31799728, 53.88980031, 100.0063522 ,\n", - " 102.9542595 , 95.60526735, 88.08297843, 76.84613854,\n", - " 58.56352954, 96.24095674, 83.62575748, 86.73349427,\n", - " 101.68966114, 100.94307621, 101.10448512, 97.63963215,\n", - " 98.38885637, 103.72899951, 104.32729997, 70.92799103,\n", - " 103.58120547, 97.62445312, 99.3995082 , 87.87322772,\n", - " 110.43592186, 93.04200953, 86.55703995, 101.58568686,\n", - " 132.1294532 , 93.16193055, 95.53088535, 100.42038287,\n", - " 90.27597307, 101.7781982 , 97.73027792, 105.71162701,\n", - " 119.47710746, 97.79864456, 102.83327981, 95.3395502 ,\n", - " 97.15940995, 94.55922101, 97.85693143, 97.13664348,\n", - " 87.89531515, 105.10798443, 87.43769443, 101.39279357,\n", - " 105.91317019, 95.20822668, 100.29943184, 94.45666111,\n", - " 95.325728 , 105.71641667, 92.42649092, 99.81928434,\n", - " 104.20762323, 91.48719238, 71.22261752, 95.11584471,\n", - " 101.48510616, 99.16746954, 109.0019685 , 99.29659956,\n", - " 104.13169634, 69.86902071, 98.35265747, 98.57959366,\n", - " 106.50111338, 114.99279632, 83.01553134, 129.44980417,\n", - " 80.57325945, 78.44977551, 76.7041398 , 120.97222815,\n", - " 98.12994276, 95.27827939, 101.70081911, 94.10703933,\n", - " 56.88419222, 56.47869133, 105.92607891, 101.50987106,\n", - " 96.7710552 , 104.52817201, 101.40884167, 105.33846823,\n", - " 103.52801451, 122.13324993, 78.16350929, 104.10508033,\n", - " 104.12139862, 104.79013292, 95.24812873, 104.94681096,\n", - " 104.93530484, 95.79363869, 99.91447386, 102.19879678,\n", - " 106.66037071, 91.83548333, 91.54418555, 98.16109481,\n", - " 89.86506705, 92.65205264, 77.38852646, 97.01298445,\n", - " 97.05263853, 96.63745378, 105.40870764, 106.33688634,\n", - " 61.43710738, 79.08085982, 91.01897973, 56.32923321,\n", - " 76.68032988, 96.57208106, 96.84679536, 82.22975269,\n", - " 99.33663825, 99.33614992, 104.96703576, 94.29685606,\n", - " 92.47360236, 103.73037324, 103.13315585, 75.45228671,\n", - " 70.0058078 , 104.89550191, 104.43079531, 88.94249042,\n", - " 66.59495183, 103.74470786, 101.15713242, 89.56225626,\n", - " 110.93074313, 93.45852526, 100.24782054, 88.92047332,\n", - " 106.79132738, 67.69761091, 68.05554546, 98.80187302,\n", - " 77.85164863, 100.40884289, 98.08799371, 67.07534688,\n", - " 102.61847169, 85.17887961, 89.1942113 , 101.58645097,\n", - " 93.15369211, 96.17071862, 102.97214886, 53.82039472,\n", - " 70.36167268, 102.28110785, 58.69793506, 76.74887636,\n", - " 62.37782152, 92.82586712, 70.73481372, 97.25424484,\n", - " 120.07832541, 82.84759623, 76.93352289, 72.61311098,\n", - " 95.59947372, 80.61952511, 90.58643818, 66.53622882,\n", - " 104.78699373, 72.98044022, 94.45804216, 96.31157564,\n", - " 104.74303253, 103.7103486 , 96.03861198, 81.85444202,\n", - " 104.13273669, 98.83753772, 101.40753084, 53.1933816 ,\n", - " 107.51491238, 88.05872907, 93.32172463, 93.56994154,\n", - " 76.06281764, 103.82609458, 89.94926761, 97.8868239 ,\n", - " 63.58077612, 104.40457309, 124.646859 , 96.11310153,\n", - " 77.46500196, 91.79751937, 104.98318188, 95.22338717,\n", - " 61.78342291, 77.90501329, 81.31439054, 87.67534907,\n", - " 97.58170164, 74.52478268, 100.35825529, 96.60046449,\n", - " 85.03091301, 89.31772165, 93.73821129, 96.42505873,\n", - " 97.44489758, 94.00765846, 68.94448873, 93.15021425,\n", - " 105.94201962, 51.28819593, 61.39322043, 94.90515894,\n", - " 93.68352125, 93.70642926, 75.30749287, 103.46623801,\n", - " 69.091568 , 91.09221285, 95.24284879, 94.92995194,\n", - " 105.4964952 , 77.03415278, 95.78666431, 57.32034099,\n", - " 81.50156205, 87.86291282, 71.74565494, 101.83599108,\n", - " 62.71769845, 69.23215541, 91.23900613, 57.42435647,\n", - " 101.84871406, 107.90701068, 102.42077405, 102.08949372,\n", - " 101.40566326, 104.94830682, 61.62653301, 107.43565101,\n", - " 89.53735115, 94.59110747, 103.42952339, 93.32595883,\n", - " 91.24409667, 91.38782073, 93.28196456, 90.99825699,\n", - " 85.63354748, 97.01259473, 88.5285371 , 135.79101691,\n", - " 127.54396383, 56.49031233, 97.83777393, 133.50198352,\n", - " 93.33119305, 89.65549708, 104.13169573, 99.52431277,\n", - " 57.99696634, 135.18362405, 89.42924323, 57.96140368,\n", - " 98.94506155, 66.49220002, 96.03143897, 93.34416702,\n", - " 100.88151739, 106.86857191, 108.97691572, 106.65319055,\n", - " 85.62014976, 88.39630457, 92.9170895 , 101.8200389 ,\n", - " 95.14657838, 88.53127817, 112.08859974, 95.16259112,\n", - " 94.64105994, 95.52857478, 94.23044016, 94.90359526,\n", - " 97.47533734, 98.63164721, 93.74150206, 93.77442952,\n", - " 106.28666191, 101.11249231, 99.05040706, 106.13566597,\n", - " 80.7369879 , 130.87982381, 99.91145771, 84.19481656,\n", - " 76.76268251, 92.55072441, 86.59968412, 48.40245915,\n", - " 104.33462054, 126.20264975, 91.83917619, 99.58308819,\n", - " 79.50745181, 94.07316562, 95.55855996, 93.25185695,\n", - " 102.23596947, 53.19497836, 99.01746082, 105.01262943,\n", - " 63.20841252, 96.41825769, 94.33981723, 96.14422795,\n", - " -1.6634491 , 67.49524551, 60.77312493, 154.36579008,\n", - " 99.3995082 , -0.43053424, -0.79447209, 107.92209504,\n", - " 65.64071865, 75.71276498, 93.23487694, 20.59885819,\n", - " 30.58826342, 117.63488307, 76.06563203, 39.99 ,\n", - " 151.71565597, 149.22240349, 1.72776122, 148.96684585,\n", - " 152.81379093, 76.24987227, 142.99747507, 106.28790891,\n", - " 105.8825629 , -0.45762594, 170.98029359, 31.68961281,\n", - " 57.08079038, 160.82163379, 120.53333103, 99.48377213,\n", - " 76.06563206, 73.24548466, 139.99 , 149.22240369,\n", - " 0. , 0. , 58.6097492 , 76.82670423,\n", - " 46.194113 , 64.75410556, 31.98821618, 42.31905477,\n", - " 26.77547469, 34.8302225 , 57.45204876, 54.29408072,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 72.64409802, 72.61873772, 92.64269896, 66.21543134,\n", - " 104.80127012, 104.83922063, 105.78751577, 103.17804923,\n", - " 85.56217701, 53.43653494, 103.57591919, 104.90534704,\n", - " 77.65369044, 97.80025186, 97.85487637, 99.35513404,\n", - " 73.7271552 , 79.47627912, 84.88506537, 95.96529614,\n", - " 100.09663031, 99.10587776, 95.57758469, 98.42346606,\n", - " 105.42560871, 104.07508539, 95.43735247, 93.17428158,\n", - " 66.64316773, 145.8221165 , 94.62360095, 95.66997032,\n", - " 99.92425525, 62.36042482, 96.43190522, 68.50323953,\n", - " 88.39531074, 78.83712708, 44.90391639, 59.39906958,\n", - " 90.17432505, 92.52215479, 95.44777171, 88.9505909 ,\n", - " 105.63725647, 65.30338103, 104.57848007, 72.29075961,\n", - " 105.66966761, 80.63642352, 103.50482103, 102.65397467,\n", - " 99.42621804, 105.48239338, 68.29799549, 100.7284096 ,\n", - " 100.53685552, 106.63782806, 94.69950441, 53.13879021,\n", - " 90.32884064, 82.7431613 , 94.71799134, 94.6343878 ,\n", - " 80.45578877, 86.88986639, 87.09005148, 84.64901075,\n", - " 91.9112711 , 371.55320358, 79.4058778 , 87.24219254,\n", - " 99.21460836, 99.74665744, 91.52170792, 94.62413943,\n", - " 46.35356658, 100.88048136, 97.6074791 , 93.95166554,\n", - " 44.81323365, 94.83296496, 82.84756384, 99.8964717 ,\n", - " 100.83684691, 100.60384711, 93.17859693, 101.24293841,\n", - " 101.33127172, 49.98356768, 44.46510825, 98.74386035,\n", - " 78.0570891 , 76.15676455, 93.21388569, 79.33526352,\n", - " 104.98847312, 104.99817904, 58.89604245, 94.0292007 ,\n", - " 87.4955456 , 106.52557489, 78.67512689, 91.20635308,\n", - " 95.9428475 , 95.49147705, 94.95853462, 103.5608479 ,\n", - " 102.18195586, 98.78822204, 104.57576153, 100.28800218,\n", - " 122.62833228, 69.69981705, 58.77931046, 123.62237223,\n", - " 107.59958706, 112.57565749, 105.63529331, 127.91024371,\n", - " 93.72267141, 63.78200242, 65.21904849, 71.90852637,\n", - " 75.21991489, 144.84320322, 77.57814588, 77.10077636,\n", - " 90.26873703, 86.72186784, 97.48289018, 90.01354894,\n", - " 103.98862245, 103.69729375, 99.49544448, 101.73233089,\n", - " 87.20571213, 101.10210585, 104.10761655, 104.10924917,\n", - " 91.48532499, 89.33391372, 97.52198562, 103.93539341,\n", - " 100.97347055, 103.37159009, 103.22595546, 71.4117707 ,\n", - " 94.19407452, 114.60003274, 100.49837333, 77.20374611,\n", - " 119.36834493, 79.2509559 , 92.79443051, 100.05948489,\n", - " 94.84140566, 95.54647195, 101.65688978, 51.10035251,\n", - " 51.90836095, 104.57558477, 102.98948373, 98.56109699,\n", - " 104.76442768, 104.7616973 , 130.94340275, 113.17112812,\n", - " 94.76029042, 103.10895726, 89.73730612, 95.32860253,\n", - " 95.474501 , 81.67547504, 70.19281826, 104.62181942,\n", - " 105.37029935, 82.55686114, 82.46426057, 100.37214856,\n", - " 105.45872412, 88.77110621, 97.08031004, 100.05947312,\n", - " 98.01248204, 59.38155813, 83.96562455, 78.63616798,\n", - " 83.92362541, 71.54512492, 68.90955337, 97.35886378,\n", - " 61.37344362, 103.69028884, 106.97447653, 104.97044409,\n", - " 96.9951187 , 101.12394717, 77.27046898, 98.98520998,\n", - " 105.15655294, 77.32490288, 94.62872237, 96.7980047 ,\n", - " 129.52181814, 95.90763756, 95.80170689, 87.59493393,\n", - " 98.06987244, 103.81045601, 104.35398332, 85.66718285,\n", - " 83.56103038, 120.50666868, 87.4665758 , 67.88517961,\n", - " 105.41676805, 105.41750957, 80.73164094, 80.22424275,\n", - " 97.74283023, 68.74738749, 82.97026743, 94.67437404,\n", - " 87.34623975, 97.56211795, 82.60278806, 82.00725383,\n", - " 93.08415402, 89.7211758 , 98.44056567, 102.8048269 ,\n", - " 90.75470016, 89.10783508, 102.86884606, 95.21841712,\n", - " 83.35828935, 94.93999698, 100.14015812, 92.90084179,\n", - " 104.94531375, 103.88305691, 92.28250787, 103.73361313,\n", - " 100.97937423, 91.03775629, 64.97941795, 58.21869138,\n", - " 63.18416172, 94.68828854, 93.46533286, 143.91596337,\n", - " 80.57753209, 93.59878742, 102.41806275, 105.52072676,\n", - " 96.27786845, 103.87676805, 96.64137483, 71.0509508 ,\n", - " 72.56408732, 90.30235699, 82.01375138, 85.30982261,\n", - " 97.20218871, 57.63695575, 76.63475781, 87.29734062,\n", - " 104.25855576, 129.62054965, 83.33677329, 89.04872632,\n", - " 100.64706901, 105.48714167, 105.27452469, 92.96353682,\n", - " 95.67787147, 88.91130517, 86.22600352, 83.28619392,\n", - " 75.22575092, 97.84760623, 97.55373198, 101.46295992,\n", - " 105.94881564, 83.43280447, 95.85694203, 83.01779238,\n", - " 70.41913881, 68.63948905, 142.35660387, 110.27660847,\n", - " 63.01846071, 64.96172832, 115.50071105, 103.41075888,\n", - " 78.73781366, 98.83557466, 64.01671114, 64.87798579,\n", - " 100.51109884, 105.18722671, 85.68424265, 102.59984068,\n", - " 105.07933402, 103.16373882, 106.0343202 , 102.09490912,\n", - " 86.70030201, 101.59724914, 95.90035088, 103.03230647,\n", - " 75.2021851 , 74.78136009, 133.84402891, 134.0766132 ,\n", - " 101.36031477, 66.6553697 , 95.74892538, 89.29448542,\n", - " 104.7460773 , 96.0853147 , 63.97884504, 63.68970385,\n", - " 90.07467128, 97.30613441, 94.8387858 , 101.45911504,\n", - " 99.86725734, 101.04847687, 101.05497001, 110.90906271,\n", - " 95.12243295, 95.608539 , 86.287897 , 84.59555708,\n", - " 119.37348421, 116.11250223, 104.77000078, 97.96001672,\n", - " 94.5902563 , 79.59824065, 117.15571885, 90.97926866,\n", - " 98.34204046, 98.02569053, 101.60110814, 77.97399271,\n", - " 90.32991964, 66.36322529, 100.69648672, 102.72960951,\n", - " 61.01664535, 95.4931367 , 96.9106435 , 99.2837337 ,\n", - " 120.63352007, 115.73808511, 103.89528548, 93.44412074,\n", - " 98.51602976, 96.81044211, 102.96215898, 101.72609376,\n", - " 104.57904554, 121.91216873, 132.29033807, 102.66915345,\n", - " 102.86854186, 103.68568501, 102.93783032, 101.13293283,\n", - " 95.98327066, 103.32637577, 90.77568628, 93.88228017,\n", - " 99.42803678, 90.90014012, 78.21574734, 134.38645085,\n", - " 95.08678093, 90.91137073, 96.00477438, 104.33530315,\n", - " 73.38432159, 56.44529509, 41.85611554, 79.12017561,\n", - " 88.79445184, 116.2768431 , 103.97237867, 104.50541157,\n", - " 93.10811712, 54.838572 , 79.26044653, 103.44147048,\n", - " 94.30089234, 66.37619848, 105.56782099, 106.50138204,\n", - " 103.72449069, 102.19095532, 62.48256961, 102.87424792,\n", - " 90.25062208, 95.43710104, 102.79247853, 105.42961887,\n", - " 97.94691097, 95.6060852 , 95.57282643, 71.12741373,\n", - " 64.84316408, 76.5792237 , 86.33571207, 79.19001902,\n", - " 107.43931736, 106.18181769, 63.65561456, 69.37747433,\n", - " 92.10545904, 101.67438164, 97.02425498, 96.40113401,\n", - " 96.41528763, 100.53110753, 93.60708492, 100.42429457,\n", - " 99.61959242, 85.15488031, 102.22491858, 74.36853155,\n", - " 102.74467201, 67.64738881, 52.2370725 , 103.79186313,\n", - " 84.58797448, 78.76480692, 106.15141669, 60.36561627,\n", - " 116.87171984, 118.84600243, 94.11082041, 95.76474442,\n", - " 94.90497081, 101.53363432, 91.00741562, 101.83207831,\n", - " 100.58802153, 100.00811559, 93.02018592, 112.24950195,\n", - " 47.11539448, 48.43702342, 76.21422476, 104.35731327,\n", - " 89.42412951, 50.84494857, 61.71132347, 105.79797085,\n", - " 102.38715687, 101.49847135, 92.60777112, 45.59918069,\n", - " 101.88920425, 92.54015465, 105.38972294, 92.66327377,\n", - " 100.48636429, 100.46858549, 95.69845031, 103.66004523,\n", - " 71.14107568, 60.52637204, 102.9633862 , 97.00816918,\n", - " 105.43855275, 126.15050394, 92.23233469, 100.01890825,\n", - " 58.28114547, 45.33317575, 104.74291953, 105.38959669,\n", - " 102.74369371, 103.23011624, 81.1095228 , 74.18602507,\n", - " 93.70652827, 82.58783359, 83.27328301, 115.31931316,\n", - " 107.17869387, 105.32350861, 82.95322715, 48.17319447,\n", - " 48.38790038, 98.16046229, 93.42736617, 105.80413268,\n", - " 100.64581896, 49.34921569, 49.60577314, 73.8823767 ,\n", - " 105.30706561, 103.66855108, 78.65406223, 103.26737378,\n", - " 104.88493666, 104.30140935, 90.10958909, 82.22905981,\n", - " 98.03472362, 103.95020161, 104.34326637, 103.7350613 ,\n", - " 103.42790437, 96.2119916 , 101.13631682, 105.1920519 ,\n", - " 90.01185148, 104.3956547 , 79.01211336, 99.92206551,\n", - " 101.02070048, 99.8064843 , 99.95783268, 103.67160797,\n", - " 106.83962825, 96.84418655, 137.16954628, 115.10351044,\n", - " 121.48608608, 100.53125761, 94.68426199, 93.75004121,\n", - " 90.3438383 , 103.00759828, 104.03486146, 102.78110969,\n", - " 101.05281348, 104.10780911, 102.86277877, 72.3053197 ,\n", - " 125.04320207, 93.02057923, 95.08582062, 98.36040344,\n", - " 88.11422216, 49.15718854, 111.67706768, 99.7452159 ,\n", - " 77.17245398, 71.28418116, 89.17970586, 92.99478237,\n", - " 94.16227182, 80.97597907, 125.28130984, 103.22991187,\n", - " 100.26706147, 96.72413177, 53.01401628, 98.37052838,\n", - " 102.13446207, 94.78555792, 86.15364102, 68.11312584,\n", - " 49.83051684, 95.43902943, 83.42119508, 86.52208032,\n", - " 100.87193186, 100.12547893, 99.84271126, 97.35782382,\n", - " 98.10704804, 103.47764094, 104.0759414 , 70.71657707,\n", - " 103.33075436, 97.37400201, 98.03710366, 87.05549844,\n", - " 110.14440114, 92.75048882, 84.22643191, 101.34111025,\n", - " 131.83793275, 92.33791901, 94.71013993, 93.45803626,\n", - " 83.31362646, 100.97370165, 96.36787326, 104.90713046,\n", - " 119.18558674, 97.11311261, 102.50521612, 94.47309938,\n", - " 96.29295913, 93.70169479, 97.15665909, 96.43637113,\n", - " 85.56470712, 104.35105194, 85.1070864 , 101.11538752,\n", - " 105.70860779, 95.00324804, 99.44849438, 93.5902103 ,\n", - " 94.45927719, 85.97884816, 91.60876163, 99.00155505,\n", - " 103.43842993, 90.66946309, 70.40488823, 94.29811542,\n", - " 100.64849245, 98.33085583, 108.79055455, 99.19319975,\n", - " 102.87018837, 68.58092905, 97.59020044, 97.28907214,\n", - " 106.27101758, 114.99279632, 82.77095473, 129.44980417,\n", - " 79.28343138, 77.65148722, 75.90585151, 120.97222815,\n", - " 97.36779572, 93.04242729, 101.48940516, 93.89562538,\n", - " 48.15117952, 47.74567863, 105.6815023 , 100.29041766,\n", - " 95.95103358, 103.67740448, 101.2504398 , 104.04864025,\n", - " 103.32345211, 122.13324993, 75.04922438, 102.8392589 ,\n", - " 102.85822536, 104.46277324, 94.42725457, 104.74224856,\n", - " 104.13366157, 94.92718788, 99.11076034, 101.24895522,\n", - " 105.85595584, 91.01775405, 90.32158338, 96.94146074,\n", - " 88.99406053, 91.78104611, 76.57079716, 96.17998625,\n", - " 96.2306826 , 95.8351079 , 104.60747264, 106.13232393,\n", - " 51.99353605, 78.21424367, 90.91557991, 47.59622051,\n", - " 56.2916032 , 78.12926425, 95.98979005, 63.78693588,\n", - " 97.97423372, 97.97374538, 104.76247335, 93.44979305,\n", - " 91.61547837, 102.46203757, 101.86482018, 74.65011236,\n", - " 69.20363345, 104.04399111, 103.61190621, 88.12476113,\n", - " 56.84839266, 102.94009176, 100.87299965, 88.74452698,\n", - " 110.93074313, 92.64076672, 99.91891182, 86.68462122,\n", - " 106.46396797, 67.50139908, 62.39743729, 98.59045907,\n", - " 76.19139331, 99.62522044, 97.31408128, 65.71294235,\n", - " 102.290408 , 82.94302751, 89.1942113 , 101.33366429,\n", - " 92.33214475, 95.96615622, 102.97214886, 53.61461581,\n", - " 69.5102027 , 100.67294056, 49.96492236, 76.53746241,\n", - " 55.52789017, 92.58129051, 70.4902371 , 96.436582 ,\n", - " 119.86691369, 82.68919436, 76.13523459, 72.40169703,\n", - " 94.76867088, 80.5161253 , 89.76870889, 47.08500554,\n", - " 103.93625262, 72.18215193, 93.64031288, 96.20817583,\n", - " 104.41567285, 103.38298892, 95.23624267, 79.61858992,\n", - " 102.87139594, 97.97108691, 101.13394948, 52.34191472,\n", - " 107.22339167, 86.76890238, 92.45527381, 92.70349072,\n", - " 75.90441576, 103.04175437, 89.18666921, 97.18655155,\n", - " 62.29094948, 104.0772134 , 124.646859 , 95.31181469,\n", - " 76.61353494, 90.52460033, 104.19884886, 94.93186645,\n", - " 60.42917279, 74.42965195, 80.17772293, 86.81559353,\n", - " 96.71640489, 73.23495601, 100.0194618 , 95.79866594,\n", - " 76.16093617, 88.49999235, 93.52679734, 95.62704247,\n", - " 97.15337677, 93.14120765, 68.12675944, 92.30315124,\n", - " 105.08141123, 50.42844038, 51.94964911, 94.03775155,\n", - " 92.85255499, 92.83997845, 74.45602289, 103.26167561,\n", - " 68.98816819, 90.2212219 , 94.44129727, 94.11220485,\n", - " 105.1577017 , 76.16131047, 94.91925692, 55.96609088,\n", - " 81.2901481 , 87.04515429, 70.98305654, 101.45004658,\n", - " 61.89996915, 68.29740625, 89.96308651, 55.49501906,\n", - " 101.04836654, 107.59969825, 101.60050204, 101.35316912,\n", - " 100.58800042, 104.74374442, 51.90711645, 107.23114437,\n", - " 88.26143153, 94.48770766, 103.22496099, 91.74631095,\n", - " 90.02157444, 91.18519505, 92.05897467, 89.7752671 ,\n", - " 83.30293944, 95.88692319, 87.40286556, 79.13600488,\n", - " 127.54396383, 55.13606221, 97.63321153, 133.44147561,\n", - " 93.33119305, 87.32488905, 102.87018775, 99.31997006,\n", - " 57.19867805, 78.52861201, 89.22882128, 57.19880528,\n", - " 98.17691193, 65.37225159, 94.88971503, 92.58798801,\n", - " 100.02447496, 106.61837009, 108.97691572, 106.39243949,\n", - " 83.28954173, 88.19367889, 92.05928752, 100.77235752,\n", - " 94.32881984, 87.71351964, 110.79877325, 94.40196528,\n", - " 94.64105994, 94.71083169, 93.42953439, 94.10134023,\n", - " 96.25595432, 98.42714029, 92.4797282 , 92.51265567,\n", - " 106.00932489, 99.54107579, 98.28596333, 105.27503516,\n", - " 80.03671555, 130.58830336, 98.69207468, 83.34334975,\n", - " 75.9112157 , 91.28536179, 86.38827016, 48.29905933,\n", - " 103.55958559, 125.9111293 , 90.61657402, 98.85269181,\n", - " 78.641001 , 93.2067148 , 94.69210914, 93.04687817,\n", - " 101.46866128, 52.99876654, 98.16936109, 104.2282965 ,\n", - " 63.25884118, 95.60052841, 93.47320108, 95.27761181,\n", - " -1.6634491 , 64.25728679, 59.36409414, 102.23701494,\n", - " 98.03710366, -0.43057297, -0.79451085, 107.5487479 ,\n", - " 62.67140592, 58.88722517, 88.14965102, 12.40049002,\n", - " 30.39269416, 116.34505658, 75.85422031, 39.99 ,\n", - " 149.21105874, 140.76834145, 1.72776122, 140.61712351,\n", - " 150.33326855, 55.98046088, 142.70595425, 105.48145416,\n", - " 105.07834445, -0.45768633, 170.79668028, 20.83969049,\n", - " 52.71749595, 158.66190324, 120.58240094, 98.19394402,\n", - " 75.85422033, 73.29598799, 139.99 , 140.76834166,\n", - " 0. , 0. , 58.31822918, 76.70309036,\n", - " 46.194113 , 64.285228 , 31.90229861, 42.31905477,\n", - " 26.77547469, 34.88075472, 57.24774695, 53.82298691,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 72.37524786, 72.36418163, 92.39513092, 65.9678633 ,\n", - " 104.51614239, 104.55447134, 105.50277071, 102.88834613,\n", - " 85.27758145, 53.15196278, 103.29098223, 104.62032048,\n", - " 77.4255735 , 97.51118844, 97.57000539, 99.07026306,\n", - " 73.45116187, 79.19668004, 84.60031582, 95.68054659,\n", - " 99.8069165 , 98.81609423, 95.29275935, 98.312666 ,\n", - " 105.14037953, 103.78962429, 95.1525426 , 92.89632574,\n", - " 66.36521188, 145.74859531, 94.59081272, 95.39202481,\n", - " 99.64631032, 62.07499229, 96.15407749, 68.21780701,\n", - " 88.10987814, 78.55169449, 44.61848384, 59.11363704,\n", - " 89.89213996, 92.23996969, 95.17014789, 88.679547 ,\n", - " 105.35289339, 65.33047431, 104.44894793, 72.12913968,\n", - " 105.38520092, 80.38186744, 103.21547524, 102.36546353,\n", - " 99.14157673, 105.19797887, 68.0158104 , 100.4462245 ,\n", - " 100.25467042, 106.55089288, 94.62804692, 53.05185503,\n", - " 90.04949137, 82.41575126, 94.59888131, 94.51527777,\n", - " 80.17035631, 86.60443392, 86.97797242, 84.53693169,\n", - " 91.62583903, 371.2748781 , 79.12044538, 86.95675994,\n", - " 99.04871825, 99.58076733, 91.24375207, 94.49460729,\n", - " 46.22403444, 100.74509962, 97.47255958, 93.8325555 ,\n", - " 44.73986688, 94.74602969, 82.76062857, 99.73485177,\n", - " 100.55949768, 100.32723794, 92.89316492, 101.10162932,\n", - " 101.19053188, 49.69813509, 44.17967569, 98.63298621,\n", - " 77.77165667, 75.87133209, 93.12695043, 79.24832825,\n", - " 104.70405862, 104.71376454, 58.7786269 , 93.91178515,\n", - " 87.40860982, 106.52557489, 78.64233829, 91.20635308,\n", - " 95.65821036, 95.20684634, 94.83942459, 103.41824117,\n", - " 101.91431291, 98.52636249, 104.42911651, 100.14135716,\n", - " 122.62833228, 69.43138457, 58.51087798, 123.62237223,\n", - " 107.45294205, 112.41403754, 105.47367336, 127.91024371,\n", - " 93.72267141, 63.51581641, 64.95277012, 71.64127074,\n", - " 74.95265926, 144.76968203, 77.49726828, 77.01989876,\n", - " 90.0035983 , 86.45916784, 97.20070508, 89.73136384,\n", - " 103.84514199, 103.55399141, 99.37633445, 101.61322086,\n", - " 86.93674821, 100.81992075, 103.82240718, 103.82401288,\n", - " 91.41230369, 89.26089242, 97.40287559, 103.81628338,\n", - " 100.83287337, 103.08674241, 102.94115148, 71.14280679,\n", - " 94.08199547, 114.52638408, 100.38686048, 76.92559055,\n", - " 119.36834493, 78.99639982, 92.72106374, 99.91283987,\n", - " 94.68826951, 95.39232581, 101.37142868, 50.81783925,\n", - " 51.62641428, 104.29034627, 102.8703737 , 98.44198696,\n", - " 104.64531765, 104.64258727, 130.869813 , 113.09771504,\n", - " 94.60743606, 102.82349616, 89.45977975, 95.05107616,\n", - " 95.32258188, 81.39004245, 69.90738567, 104.33714832,\n", - " 105.08567399, 82.27142852, 82.17882795, 100.08934552,\n", - " 105.17326302, 88.49376349, 96.80290025, 99.78160905,\n", - " 97.7345335 , 59.09863163, 83.70975631, 78.38029975,\n", - " 83.65064181, 71.27214131, 68.62423741, 97.07394242,\n", - " 61.08812765, 103.5259423 , 106.81190688, 104.68074099,\n", - " 96.86239156, 100.99122003, 77.01591287, 98.70054864,\n", - " 104.87195166, 77.0703468 , 94.34389242, 96.52024923,\n", - " 129.36019819, 95.62292529, 95.51701369, 87.32417948,\n", - " 97.79959202, 103.5259101 , 104.06944241, 85.40795094,\n", - " 83.29958731, 120.47388059, 87.19327219, 67.61187599,\n", - " 105.13183428, 105.1325738 , 80.47462854, 79.96699535,\n", - " 97.53109031, 68.53564757, 82.68483483, 94.67437404,\n", - " 87.09037151, 97.38211383, 82.31735546, 81.72182123,\n", - " 92.79872226, 89.44383308, 98.32455352, 102.68741136,\n", - " 90.75470016, 89.10783508, 102.59114599, 94.92998533,\n", - " 83.14218643, 94.65060214, 99.85525695, 92.82747502,\n", - " 104.66063477, 103.58930452, 91.98875549, 103.4439344 ,\n", - " 100.68742904, 91.03775629, 64.73184991, 58.00258846,\n", - " 62.93659368, 94.39033196, 93.17180331, 143.84244217,\n", - " 80.49059636, 93.34939403, 102.13275106, 105.2355174 ,\n", - " 95.98463887, 103.59129713, 96.34814526, 70.77299496,\n", - " 72.28613147, 90.26956876, 81.98096315, 85.02530612,\n", - " 96.91751437, 57.38938771, 76.52567753, 87.18798885,\n", - " 103.97053573, 129.54702845, 83.05145733, 88.76341036,\n", - " 100.36922061, 105.36803164, 105.15541466, 92.68339502,\n", - " 95.39318294, 88.63404782, 85.9608648 , 83.0210552 ,\n", - " 74.95276732, 97.56921404, 97.27533847, 101.32341144,\n", - " 105.80926716, 83.13905209, 95.57230084, 82.72403999,\n", - " 70.13370632, 68.35405656, 142.28207296, 110.20234093,\n", - " 62.73314474, 64.67641236, 115.46792282, 103.37797065,\n", - " 78.45767186, 98.74863888, 63.73656934, 64.60924121,\n", - " 100.37892748, 105.05505534, 85.40427666, 102.3060883 ,\n", - " 104.78558163, 103.04462879, 105.91521017, 101.80972513,\n", - " 86.61336623, 101.31205511, 95.61560292, 102.74774823,\n", - " 74.91686914, 74.49604413, 133.68240895, 133.91499324,\n", - " 101.07507481, 66.3752279 , 95.47096953, 89.00916945,\n", - " 104.62696727, 95.80068398, 63.70935699, 63.42006522,\n", - " 89.79248619, 97.18702438, 94.55414677, 101.38596036,\n", - " 99.58191369, 100.76310952, 100.76963676, 110.90906271,\n", - " 94.83711698, 95.32354817, 86.0024644 , 84.31012449,\n", - " 119.37348421, 116.11250223, 104.48474374, 97.67537769,\n", - " 94.51688953, 79.52487388, 117.15571885, 90.97926866,\n", - " 98.05309438, 97.73667773, 101.31417363, 77.71129271,\n", - " 90.2003875 , 66.23369315, 100.41486429, 102.43774673,\n", - " 60.75520228, 95.203593 , 96.6198254 , 98.99908615,\n", - " 120.63352007, 115.73808511, 103.60710085, 93.15880478,\n", - " 98.22712447, 96.5212994 , 102.672872 , 101.44090411,\n", - " 104.29432708, 121.8793805 , 132.25754984, 102.39164648,\n", - " 102.59088236, 103.40074564, 102.65289061, 100.84773495,\n", - " 95.69401628, 103.0409445 , 90.50270267, 93.75274803,\n", - " 99.14258981, 90.61470747, 78.18295872, 134.35366223,\n", - " 94.80882352, 90.64623201, 95.75691761, 104.04589752,\n", - " 73.11588911, 56.17686261, 41.7265834 , 78.85170697,\n", - " 88.52244576, 116.24405448, 103.82156482, 104.35399787,\n", - " 92.928113 , 54.59071524, 79.0804424 , 103.15600939,\n", - " 94.01543125, 66.29532087, 105.48694339, 106.36921068,\n", - " 103.439555 , 101.90601963, 62.19797405, 102.59657076,\n", - " 89.97266623, 95.36373427, 102.5004976 , 105.14487977,\n", - " 97.68320476, 95.31806625, 95.28480694, 70.86818182,\n", - " 64.55773148, 76.32466761, 86.05557027, 78.91206317,\n", - " 107.30678052, 106.04732573, 63.29446478, 69.02658373,\n", - " 91.82092474, 101.38962659, 96.74631836, 96.1131226 ,\n", - " 96.1272705 , 100.24620005, 93.32224455, 100.13803073,\n", - " 99.33279707, 85.06794453, 102.09538644, 74.23899941,\n", - " 102.45972769, 67.37895633, 51.97100165, 103.50668101,\n", - " 84.33210624, 78.47997218, 106.03230666, 60.12484816,\n", - " 116.7100999 , 118.68438248, 94.03779911, 95.48010571,\n", - " 94.6203143 , 101.25595234, 90.72945978, 101.55439633,\n", - " 100.31007625, 99.73017031, 92.73050088, 112.17497104,\n", - " 46.85558491, 48.17721385, 75.93462569, 104.06912864,\n", - " 89.14617366, 50.59738053, 61.43336762, 105.67886082,\n", - " 102.10965156, 101.35993011, 92.48890649, 45.48031606,\n", - " 101.60441903, 92.25528131, 105.10455606, 92.37844123,\n", - " 100.32634272, 100.18331299, 95.41310166, 103.37510946,\n", - " 70.8726432 , 60.25793956, 102.67382147, 96.71723163,\n", - " 105.15345618, 126.06962633, 91.9998337 , 99.78640726,\n", - " 58.00913938, 45.06116966, 104.45766249, 105.2482876 ,\n", - " 102.45907103, 102.94549356, 80.84163272, 73.93146898,\n", - " 93.41337246, 82.31975622, 83.00520563, 115.2456637 ,\n", - " 107.05955114, 105.20436588, 82.69341758, 47.90476199,\n", - " 48.1194679 , 97.87579936, 93.14272714, 105.51951001,\n", - " 100.36796697, 49.06378311, 49.32034055, 73.59694421,\n", - " 105.02221464, 103.38345803, 78.53664668, 103.14071579,\n", - " 104.59978879, 104.17475137, 89.9829311 , 81.94362722,\n", - " 97.75000011, 103.66505262, 104.05811186, 103.45018329,\n", - " 103.14312078, 96.09288157, 101.1035282 , 104.90688821,\n", - " 89.72734262, 104.32228793, 78.68470332, 99.63713177,\n", - " 100.73583603, 99.69440525, 99.67302926, 103.37955888,\n", - " 106.72062728, 96.55515211, 137.16016259, 114.94189049,\n", - " 121.48608608, 100.53125761, 94.56548333, 93.63124501,\n", - " 90.06550953, 102.72234833, 103.74965451, 102.4958538 ,\n", - " 100.96587772, 103.82260564, 102.58513716, 71.97790966,\n", - " 125.01041384, 92.73594794, 94.79629598, 98.08244759,\n", - " 87.84043185, 48.8887199 , 111.67706768, 99.49735914,\n", - " 76.92461982, 71.01767776, 88.90895141, 92.70995689,\n", - " 93.87744575, 80.7267278 , 125.19437469, 102.94056625,\n", - " 99.98231128, 96.47627501, 52.72963411, 98.10032132,\n", - " 101.84965747, 94.50067285, 85.892823 , 67.84469336,\n", - " 49.56208436, 95.15416745, 83.30208504, 86.48929209,\n", - " 100.59397601, 99.84754406, 99.56502928, 97.21722664,\n", - " 97.96645085, 103.34546958, 103.94377003, 70.68378884,\n", - " 103.19893615, 97.2421838 , 97.82536375, 86.77754259,\n", - " 109.98278119, 92.58886886, 83.97056368, 101.2115781 ,\n", - " 131.6763128 , 92.05306118, 94.4253608 , 93.18445707,\n", - " 83.04004727, 100.68928715, 96.15613333, 104.62271596,\n", - " 119.02396678, 96.81822458, 102.35358626, 94.18846035,\n", - " 96.0083201 , 93.41705823, 96.8629067 , 96.14261874,\n", - " 85.30883889, 104.06170745, 84.85121817, 100.97582501,\n", - " 105.58949776, 94.88438333, 99.16304324, 93.30557127,\n", - " 94.17463816, 85.72223726, 91.33080579, 98.7235992 ,\n", - " 103.15008477, 90.39150725, 70.12693239, 94.02015958,\n", - " 100.36365236, 98.04601574, 108.75776632, 99.11983298,\n", - " 102.59252374, 68.23003845, 97.30144437, 97.08849832,\n", - " 106.14435959, 114.99279632, 82.64142259, 129.44980417,\n", - " 79.19649561, 77.36617126, 75.62053555, 120.97222815,\n", - " 97.07901677, 92.7602422 , 101.45661693, 93.86283715,\n", - " 47.88274704, 47.47724615, 105.55197016, 100.01202547,\n", - " 95.66623479, 103.39194745, 101.17728512, 103.96170452,\n", - " 103.20434208, 122.13324993, 74.80302958, 102.56169056,\n", - " 102.58059791, 104.31135946, 94.14247492, 104.62313852,\n", - " 103.84829307, 94.64254885, 98.82611276, 100.96547707,\n", - " 105.57170913, 90.7397982 , 90.0432506 , 96.66307196,\n", - " 88.70955235, 91.49653794, 76.29284132, 95.89518772,\n", - " 95.94581113, 95.55029578, 104.32206548, 106.0132139 ,\n", - " 51.72628043, 77.92961237, 90.84221315, 47.32778803,\n", - " 56.04376904, 77.87113414, 95.70455142, 63.52880576,\n", - " 97.7624938 , 97.76200547, 104.64336332, 93.16508932,\n", - " 91.33084888, 102.18452539, 101.587308 , 74.3652787 ,\n", - " 68.91879979, 103.75855998, 103.32695804, 87.84680529,\n", - " 56.58220665, 102.65564278, 100.73184722, 88.46657113,\n", - " 110.93074313, 92.36280628, 99.76712794, 86.40243613,\n", - " 106.31255427, 67.3928268 , 62.12144397, 98.55767084,\n", - " 75.92063887, 99.33840681, 97.02646593, 65.50120243,\n", - " 102.13877814, 82.66084242, 89.1942113 , 101.20093715,\n", - " 92.04727066, 95.84704619, 102.97214886, 53.4949295 ,\n", - " 69.22477021, 100.4021686 , 49.69648987, 76.50467418,\n", - " 55.25409986, 92.45175837, 70.36070496, 96.15863673,\n", - " 119.83412507, 82.61603968, 75.84991863, 72.3689088 ,\n", - " 94.4838581 , 80.44275853, 89.49075305, 46.82799314,\n", - " 103.65079466, 71.89683597, 93.36235703, 96.13480906,\n", - " 104.26425908, 103.23157515, 94.9514381 , 79.33640483,\n", - " 102.59372759, 97.68644788, 100.9952875 , 52.05648212,\n", - " 107.06177171, 86.68196712, 92.17063478, 92.41885169,\n", - " 75.83126108, 102.75478568, 89.1057916 , 96.89279916,\n", - " 62.20401424, 103.92579963, 124.646859 , 95.0268718 ,\n", - " 76.32810235, 90.24719054, 103.91184235, 94.7702465 ,\n", - " 60.06802301, 74.14968595, 79.85031289, 86.53098688,\n", - " 96.43171637, 73.14802075, 99.86531566, 95.51378746,\n", - " 75.89263559, 88.2220365 , 93.49400911, 95.34169382,\n", - " 96.99175681, 92.85656862, 67.8488036 , 92.01844752,\n", - " 104.79647601, 50.14383374, 51.68239348, 93.75314263,\n", - " 92.56774332, 92.55533941, 74.17059039, 103.14256557,\n", - " 68.91480142, 89.93671304, 94.15638769, 93.83424618,\n", - " 105.00355556, 75.87685058, 94.63464801, 55.6049411 ,\n", - " 81.25735987, 86.76719385, 70.90217893, 101.28415647,\n", - " 61.6220133 , 68.01404806, 89.68574379, 55.23420104,\n", - " 100.76303525, 107.45305075, 101.31587936, 101.06235101,\n", - " 100.31005515, 104.62463439, 51.64083807, 107.11200148,\n", - " 87.98408881, 94.41434089, 103.10585096, 91.47495664,\n", - " 89.74324016, 91.073116 , 91.78064919, 89.49694162,\n", - " 83.04707121, 95.60676728, 87.12270966, 78.88144879,\n", - " 127.54396383, 54.77491244, 97.5141015 , 133.43209193,\n", - " 93.33119305, 87.06902081, 102.59252313, 99.20073055,\n", - " 56.91336208, 78.27405593, 89.11794714, 57.11792767,\n", - " 97.88863985, 65.09210979, 94.60986102, 92.29884909,\n", - " 99.73967507, 106.48583326, 108.97691572, 106.25704222,\n", - " 83.03367349, 88.08159983, 91.77465327, 100.49073509,\n", - " 94.05085941, 87.4355592 , 110.71183806, 94.11321397,\n", - " 94.64105994, 94.43287365, 93.14454356, 93.81651416,\n", - " 95.97756081, 98.30799756, 92.20204622, 92.23497369,\n", - " 105.86977641, 99.26955342, 97.99735397, 104.99010034,\n", - " 79.74296316, 130.42668341, 98.41368117, 83.05791716,\n", - " 75.6257831 , 91.00773797, 86.35548193, 48.22569257,\n", - " 103.27166897, 125.74950935, 90.33824124, 98.59083227,\n", - " 78.35636196, 92.92207577, 94.40747011, 92.92801354,\n", - " 101.18020487, 52.89019425, 97.88461249, 103.94128952,\n", - " 63.28589365, 95.32257256, 93.18856978, 94.99298051,\n", - " -1.6634491 , 64.01132715, 58.99444899, 101.98204143,\n", - " 97.82536375, -0.43058681, -0.79452474, 107.38647367,\n", - " 62.43338866, 58.62739443, 87.88067976, 12.22897212,\n", - " 30.28447312, 116.25812139, 75.82143169, 39.99 ,\n", - " 148.67468004, 140.53144764, 1.72776122, 140.3800313 ,\n", - " 149.80062338, 55.72390425, 142.54433429, 105.19725059,\n", - " 104.79416817, -0.45771276, 170.72202797, 20.57474436,\n", - " 52.44811195, 158.56487298, 120.60871067, 98.10700824,\n", - " 75.82143172, 73.32308127, 139.99 , 140.53144786,\n", - " 0. , 0. , 58.15660925, 76.63200558,\n", - " 46.194113 , 64.28529793, 31.82917576, 42.31905477,\n", - " 26.77547469, 34.90786348, 57.12848333, 53.51138947,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 71.04905706, 69.73984163, 91.39807708, 64.96814169,\n", - " 103.63597141, 103.67228332, 104.6206701 , 102.00952439,\n", - " 84.38813858, 52.26228153, 102.40072158, 103.73017113,\n", - " 75.71243799, 96.63235014, 96.6903137 , 98.19057136,\n", - " 71.98386132, 77.9603851 , 83.71794632, 94.79818518,\n", - " 98.9280128 , 97.93728392, 94.41308339, 97.92545005,\n", - " 104.25033147, 102.9001308 , 94.27287196, 91.90616244,\n", - " 65.36755713, 145.47576405, 94.15194037, 94.41257355,\n", - " 98.6668681 , 61.18532407, 95.21512403, 67.32813914,\n", - " 87.2109807 , 77.65275486, 43.72881458, 58.22396835,\n", - " 88.82740565, 91.17522195, 94.22974562, 87.69281216,\n", - " 104.47360575, 65.40485581, 104.03778751, 71.66565876,\n", - " 104.50558528, 77.75306922, 102.33661689, 101.48606236,\n", - " 98.26197529, 104.31863227, 66.95070531, 99.38217932,\n", - " 99.19057106, 105.89523655, 94.41626717, 52.39573213,\n", - " 89.0597949 , 81.02914634, 94.13472178, 94.05003255,\n", - " 79.28069104, 85.71454894, 86.5781178 , 84.13115087,\n", - " 90.73619334, 370.3391628 , 78.23078484, 86.06708922,\n", - " 98.54028021, 99.07232929, 90.2640342 , 94.08321143,\n", - " 45.81261415, 100.33519609, 97.06252923, 93.36811433,\n", - " 44.51808596, 93.91522258, 81.92980556, 99.27130862,\n", - " 99.58776499, 99.36497114, 92.00352177, 100.67245262,\n", - " 100.76320013, 48.80846524, 43.29000617, 98.24569842,\n", - " 76.88199557, 74.98166703, 92.30306542, 78.42443472,\n", - " 103.82471195, 103.83441787, 58.38391288, 93.51710979,\n", - " 85.81452 , 105.32096662, 78.15246522, 90.00158745,\n", - " 94.76745541, 94.31605374, 94.37479583, 102.98486797,\n", - " 101.05879484, 97.69046273, 103.98269477, 99.69488295,\n", - " 121.57141006, 67.58720106, 56.66776411, 122.48662843,\n", - " 107.00652398, 111.87069342, 104.93030184, 126.93534639,\n", - " 92.58685771, 61.77071831, 63.20149594, 69.83137464,\n", - " 73.14643039, 144.50724207, 76.86050921, 76.38301924,\n", - " 88.09510765, 84.49265792, 96.13685851, 88.66666244,\n", - " 103.4089442 , 103.11836892, 98.90599386, 101.14616187,\n", - " 85.62756439, 99.75774144, 102.9420119 , 102.94347998,\n", - " 91.05826747, 88.9047603 , 97.03926363, 103.36750626,\n", - " 100.405941 , 102.1983992 , 102.05311878, 69.83362182,\n", - " 93.6937216 , 114.16975935, 99.99904998, 75.98881208,\n", - " 118.27054668, 76.0374955 , 91.51747191, 99.4659861 ,\n", - " 94.22107041, 94.9219206 , 100.48190171, 49.912462 ,\n", - " 50.71687524, 103.4095726 , 102.50755654, 98.0742958 ,\n", - " 104.19442734, 104.19157849, 130.50824464, 112.73244018,\n", - " 94.14113396, 101.93396887, 88.51906432, 94.11036044,\n", - " 94.85926315, 80.5003725 , 69.01770675, 103.45650006,\n", - " 104.20592145, 81.38176643, 81.28916383, 99.07167091,\n", - " 104.28373114, 87.55183921, 95.86134967, 98.80411727,\n", - " 96.75640478, 58.19629275, 82.65415258, 77.3243709 ,\n", - " 82.68295276, 70.30445287, 67.74246149, 96.1911524 ,\n", - " 60.20827207, 103.02278835, 106.31483647, 103.80188379,\n", - " 96.45185197, 100.58068041, 74.40726587, 97.82092702,\n", - " 103.99228197, 74.11247504, 93.45884808, 95.58079021,\n", - " 128.82805829, 94.73230288, 94.62635196, 86.33864867,\n", - " 96.81611109, 102.64635777, 103.1898897 , 83.38049336,\n", - " 81.30833076, 120.21690667, 85.56209224, 65.85216937,\n", - " 104.24154936, 104.2423038 , 78.42177147, 77.91894979,\n", - " 96.56434881, 67.56769513, 81.79516696, 93.61655319,\n", - " 86.03471551, 96.53576498, 81.42768584, 80.83215133,\n", - " 91.90908832, 88.50190573, 97.93674428, 102.29648311,\n", - " 89.55873617, 87.91339115, 101.65132663, 94.05114201,\n", - " 82.17565656, 93.77211464, 98.96502925, 91.63490786,\n", - " 103.77983972, 102.71318792, 91.11253628, 102.56511972,\n", - " 99.81007129, 89.83916685, 63.73211781, 57.03580817,\n", - " 61.93685937, 93.51740642, 92.29592213, 143.56960991,\n", - " 79.0738466 , 92.3557772 , 101.25237924, 104.35466477,\n", - " 95.10784387, 102.70182946, 95.47137518, 69.7728545 ,\n", - " 71.28597827, 89.82920608, 81.54044775, 84.13417642,\n", - " 96.02741435, 56.38856051, 76.14032028, 86.80217738,\n", - " 103.08937639, 129.27436251, 82.17162442, 87.88357828,\n", - " 99.39180297, 104.90161779, 104.68899532, 91.76063126,\n", - " 94.50251316, 87.6916695 , 84.05143216, 81.10771385,\n", - " 73.98507898, 96.63386845, 96.34000053, 100.89994568,\n", - " 105.38319878, 82.26288057, 94.68155247, 81.84778775,\n", - " 69.2440394 , 67.46438964, 141.9905394 , 109.88914562,\n", - " 61.85331145, 63.79657923, 115.04173283, 102.94121187,\n", - " 77.53488145, 97.29557278, 62.81334108, 63.2674456 ,\n", - " 99.96830764, 104.6444354 , 84.19216456, 101.42997177,\n", - " 103.909466 , 102.68194245, 105.55033215, 100.92959638,\n", - " 85.0227317 , 100.43196138, 94.7332442 , 101.86816422,\n", - " 74.03702174, 73.61619656, 133.12322377, 133.35579254,\n", - " 100.19505737, 65.45243734, 94.48976013, 88.129337 ,\n", - " 104.17528073, 94.90989138, 62.48003142, 62.21395937,\n", - " 88.72775963, 96.72658554, 93.66334856, 101.02036911,\n", - " 98.70184727, 99.88290256, 99.88945716, 109.71744639,\n", - " 93.95730981, 94.44382163, 85.11279387, 83.42045395,\n", - " 118.27472072, 115.01368756, 103.60401855, 96.78456621,\n", - " 93.37506567, 78.38243482, 115.95861955, 89.78125487,\n", - " 97.17413633, 96.85778768, 100.43421718, 75.74396575,\n", - " 89.78896155, 65.822267 , 99.50079836, 101.56033651,\n", - " 58.76381212, 94.32515442, 95.74212694, 98.11947797,\n", - " 119.46135694, 114.59008469, 102.72741906, 92.27898959,\n", - " 97.34812505, 95.64254243, 101.79400192, 100.5608291 ,\n", - " 103.41469607, 121.49716842, 131.87319375, 101.45065836,\n", - " 101.65081053, 102.51803575, 101.77020107, 99.96765573,\n", - " 94.81535359, 102.15132767, 89.53501484, 93.34133498,\n", - " 98.25299018, 89.72504533, 77.651541 , 133.8220541 ,\n", - " 93.83073251, 88.73763635, 94.75980638, 103.16705391,\n", - " 71.29671969, 54.3423483 , 41.31515688, 77.03364028,\n", - " 86.83546855, 115.72860936, 103.361775 , 103.89227534,\n", - " 92.05247661, 53.58492847, 78.20256076, 102.2664858 ,\n", - " 93.12590645, 65.6536465 , 104.84318516, 105.95859073,\n", - " 102.54928442, 101.01574905, 61.30796094, 101.6566084 ,\n", - " 88.97512677, 95.01243041, 101.62316341, 104.26290413,\n", - " 96.68900779, 94.43906292, 94.40580508, 68.8380057 ,\n", - " 63.66805246, 73.36640234, 85.13278852, 77.91240421,\n", - " 106.90955626, 105.64136238, 61.63324041, 67.44834985,\n", - " 90.92982515, 100.50749778, 95.76739032, 95.23409961,\n", - " 95.24826239, 99.35596951, 92.44256183, 99.25815397,\n", - " 98.45306608, 83.47701986, 101.68418628, 73.82779896,\n", - " 101.57713126, 65.53477212, 50.23381451, 102.62646789,\n", - " 83.27662853, 77.60028577, 105.67711016, 59.04242693,\n", - " 116.17237454, 118.14747474, 93.68134321, 94.59114899,\n", - " 93.73145488, 100.31596339, 89.72682487, 100.61440682,\n", - " 99.33059037, 98.75068354, 91.852196 , 111.88343612,\n", - " 45.81997924, 47.14112776, 74.69333159, 103.18944685,\n", - " 88.14351773, 49.59701454, 60.42178585, 105.21265479,\n", - " 101.16865362, 100.93974828, 92.13912359, 45.13053301,\n", - " 100.7221414 , 91.37232575, 104.22425399, 91.49351848,\n", - " 99.83733219, 99.30333208, 94.53329136, 102.48483948,\n", - " 69.02964298, 58.41876435, 101.79513268, 95.83960363,\n", - " 104.27329466, 125.61873299, 91.03069277, 98.81726629,\n", - " 56.3206423 , 43.37216441, 103.5769373 , 104.81904224,\n", - " 101.57682543, 102.06324985, 79.01528072, 71.30585417,\n", - " 92.53724202, 80.49600319, 81.1813234 , 114.88911225,\n", - " 106.71559761, 104.85985723, 81.66403983, 46.06624434,\n", - " 46.27898578, 96.99342096, 92.25191628, 104.63772682,\n", - " 99.39051339, 48.17411319, 48.43067068, 72.70727733,\n", - " 104.14246899, 102.50350355, 78.1414765 , 102.76951058,\n", - " 103.71966556, 103.80354652, 89.61177187, 81.0539573 ,\n", - " 96.86168326, 102.77508925, 103.16813117, 102.56551833,\n", - " 102.25523364, 95.6264482 , 100.58739375, 104.02682373,\n", - " 88.83616303, 103.90138935, 77.29809139, 98.7543672 ,\n", - " 99.8509111 , 99.29262298, 98.78351253, 102.50227439,\n", - " 106.37208497, 95.67633616, 137.08566303, 114.39853801,\n", - " 120.30741797, 99.3491561 , 94.21432413, 93.28029709,\n", - " 89.12981446, 101.84204877, 102.8692719 , 101.6155468 ,\n", - " 99.51961755, 102.94223076, 101.64495513, 70.5912976 ,\n", - " 124.61432685, 91.84382629, 93.91785711, 97.10106995,\n", - " 86.23745416, 47.04134837, 111.24243669, 98.50064747,\n", - " 74.89996189, 69.25283789, 87.92341773, 91.83026744,\n", - " 92.99775608, 78.68276801, 124.59839185, 102.06171618,\n", - " 99.09420704, 95.47925747, 51.83801943, 97.11680602,\n", - " 100.96730437, 93.61807113, 84.87234555, 65.99772208,\n", - " 47.71094145, 94.27447875, 82.83518176, 86.10213686,\n", - " 99.61181966, 98.8686151 , 98.62503977, 96.78995505,\n", - " 97.5389896 , 102.93484961, 103.53315005, 70.21112148,\n", - " 102.78830422, 96.83154794, 96.85859112, 85.79536876,\n", - " 109.39619794, 91.99629021, 82.91463487, 100.80014454,\n", - " 131.1457163 , 91.16967933, 93.54296614, 91.56896645,\n", - " 81.4012888 , 99.80982072, 95.19634793, 103.74334431,\n", - " 118.44143668, 95.94296146, 101.89077033, 93.29764791,\n", - " 95.11750765, 92.52806034, 95.98676658, 95.26647805,\n", - " 84.25290565, 103.182684 , 83.79528439, 100.55231921,\n", - " 105.24411648, 94.53460454, 98.27347338, 92.41475895,\n", - " 93.28382572, 83.6620407 , 90.34868345, 97.74216882,\n", - " 102.27052671, 89.4093289 , 69.14475402, 93.03798231,\n", - " 99.47804439, 97.1604077 , 108.36062468, 97.97963154,\n", - " 101.65248329, 66.65180413, 96.4224111 , 96.17890167,\n", - " 105.77315474, 114.01776764, 82.22998899, 128.54817495,\n", - " 77.75012639, 76.48633835, 74.74070264, 119.78794382,\n", - " 96.20000129, 91.69592916, 101.01757505, 93.4237679 ,\n", - " 46.04278531, 45.63683426, 105.14147213, 99.07667971,\n", - " 94.78386728, 102.50242455, 100.81482247, 102.54515524,\n", - " 102.75524382, 120.99674091, 73.70113091, 101.62106084,\n", - " 101.64032898, 103.84963657, 93.26006506, 104.17128585,\n", - " 102.96785988, 93.75174913, 97.94650453, 100.06361382,\n", - " 104.69267075, 89.75764637, 89.10758026, 95.72770752,\n", - " 87.81837219, 90.60535778, 75.29265362, 95.01027312,\n", - " 95.06280631, 94.67061309, 103.44164108, 105.65819858,\n", - " 49.9143443 , 77.03693618, 89.64836702, 45.4830438 ,\n", - " 54.01899293, 75.85066857, 94.8143943 , 61.50824567,\n", - " 96.79299321, 96.79248369, 104.19238822, 92.2777652 ,\n", - " 90.44176019, 101.24356613, 100.64634874, 73.48559168,\n", - " 68.0391078 , 102.86894867, 102.44443937, 86.86458105,\n", - " 54.83710349, 101.77624331, 100.30316003, 87.48439275,\n", - " 110.48600428, 91.38404876, 99.30422682, 85.33747466,\n", - " 105.8508316 , 67.00845023, 60.65413751, 98.11908225,\n", - " 74.93510265, 98.45875494, 96.14722475, 64.53169317,\n", - " 101.67587856, 81.59588074, 87.99969489, 100.79039753,\n", - " 91.16433774, 95.49201786, 101.78786189, 53.15460729,\n", - " 68.33510129, 99.42176383, 47.80942346, 76.06415385,\n", - " 53.65051654, 92.04034503, 69.94928832, 95.17916058,\n", - " 119.27451826, 82.25020527, 74.97006666, 71.92835823,\n", - " 93.59927632, 79.30089589, 88.49042929, 44.77393553,\n", - " 102.76127939, 71.016984 , 92.37574791, 95.71355635,\n", - " 103.80253615, 102.76985222, 94.07176958, 78.27140801,\n", - " 101.65371035, 96.79563543, 100.57470853, 51.16680204,\n", - " 106.47611142, 85.86733445, 91.27975881, 91.5279015 ,\n", - " 75.46268949, 101.87477888, 88.47605214, 96.0166607 ,\n", - " 61.42042726, 103.46386199, 123.5486062 , 94.14715914,\n", - " 75.43843244, 89.30556429, 103.03178432, 94.18014838,\n", - " 58.4067797 , 72.93549012, 78.46369673, 85.64165913,\n", - " 95.54104659, 72.34257643, 99.39491003, 94.63409356,\n", - " 74.07173533, 87.22509444, 93.05701538, 94.46188352,\n", - " 96.43098394, 91.96561643, 66.84796089, 91.13112339,\n", - " 103.9062019 , 49.25450574, 49.87220802, 92.86227951,\n", - " 91.68313164, 91.66438727, 73.28091977, 102.79718428,\n", - " 68.55339205, 89.04553344, 93.27668472, 92.85553766,\n", - " 104.53314972, 74.98550169, 93.74378487, 53.9436938 ,\n", - " 80.8168354 , 85.78842983, 70.26537836, 100.77571844,\n", - " 60.61778032, 67.11488605, 88.74381641, 54.21372343,\n", - " 99.88285568, 107.00662721, 100.43318371, 100.18465201,\n", - " 99.33056835, 104.17284662, 49.88795816, 106.76805922,\n", - " 87.04216146, 92.87826165, 102.74310056, 90.49781561,\n", - " 88.80758059, 90.67326059, 90.84493388, 88.56122631,\n", - " 81.99114239, 94.68299585, 86.19893821, 75.92319702,\n", - " 126.57672748, 53.11337187, 97.15048945, 133.35733852,\n", - " 92.19081479, 86.01308703, 101.65248265, 98.86117339,\n", - " 56.03352877, 75.31577063, 88.73057903, 56.48787562,\n", - " 97.00938371, 64.16915999, 93.6841092 , 91.42030271,\n", - " 98.85033321, 106.07500751, 107.87813105, 105.84840204,\n", - " 81.97774993, 87.6794426 , 90.88561143, 99.57666915,\n", - " 93.07203809, 86.4513673 , 110.04635662, 93.23450337,\n", - " 93.43565801, 93.45393732, 92.26445493, 92.93586522,\n", - " 95.04222283, 97.96303918, 91.26205659, 91.29498391,\n", - " 105.44342879, 98.2933597 , 97.11820691, 104.09982325,\n", - " 78.86543362, 129.88938088, 97.47831027, 82.15634115,\n", - " 74.72389879, 90.06733569, 85.91488606, 47.80409382,\n", - " 102.39178113, 125.21220665, 89.4025709 , 97.75493228,\n", - " 77.46532161, 92.03127178, 93.51651753, 92.57783585,\n", - " 100.30079796, 52.48705062, 96.99705461, 103.06123089,\n", - " 63.3601384 , 94.31821371, 92.29656455, 94.10218692,\n", - " -1.6634491 , 62.90146046, 57.26578054, 99.48592548,\n", - " 96.85859112, -0.43063031, -0.7945684 , 106.89031444,\n", - " 61.36408778, 56.66785692, 86.57261699, 10.96216782,\n", - " 29.9012734 , 115.59263995, 75.32933659, 39.99 ,\n", - " 145.65122515, 139.11603569, 1.72776122, 138.97134172,\n", - " 146.80680863, 53.64907551, 141.98399422, 104.31846145,\n", - " 103.91535105, -0.45779429, 170.44170719, 18.79726178,\n", - " 51.20290054, 157.88928163, 120.68046688, 96.65394214,\n", - " 75.32933662, 73.34091454, 139.99 , 139.11603591,\n", - " 0. , 0. , 57.70346927, 76.43229417,\n", - " 46.194113 , 64.28529793, 31.6233137 , 42.31905477,\n", - " 26.77547469, 34.98247753, 56.79003062, 52.64808104,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 68.40372289, 62.95453134, 89.66801551, 63.2293718 ,\n", - " 102.54691344, 102.57429434, 103.52294256, 100.95309788,\n", - " 83.26480148, 51.13799801, 101.27673111, 102.60710508,\n", - " 71.54758009, 95.57194 , 95.60133895, 97.10159657,\n", - " 68.93219073, 75.68129573, 82.6193714 , 93.69963667,\n", - " 97.87137792, 96.88138934, 93.32388348, 97.3559453 ,\n", - " 103.1288343 , 101.78192369, 93.18359574, 90.43543306,\n", - " 63.87237358, 144.99122598, 92.65691303, 92.97675708,\n", - " 97.231078 , 60.06636179, 93.88303271, 66.20917794,\n", - " 86.06189212, 76.50352858, 42.60984911, 57.10500463,\n", - " 87.12124042, 89.46901287, 92.89150881, 86.1577024 ,\n", - " 103.38272031, 65.45463089, 103.5008264 , 71.16825028,\n", - " 103.41435184, 70.95320608, 101.27787027, 100.42039511,\n", - " 97.17189483, 103.22789177, 65.24332976, 97.67826359,\n", - " 97.48647846, 104.3247611 , 94.16441281, 50.8237337 ,\n", - " 87.60127136, 78.6436892 , 93.3660142 , 93.27778098,\n", - " 78.16173799, 84.59487867, 85.97519831, 83.50888663,\n", - " 89.61730167, 369.0209995 , 77.11184694, 84.94811922,\n", - " 97.91838896, 98.45043804, 88.82740162, 93.54548179,\n", - " 45.27480479, 99.83549744, 96.55980346, 92.59848739,\n", - " 44.19616716, 91.77300701, 79.78753809, 98.77369701,\n", - " 98.17252387, 97.97482987, 90.88463798, 100.14930562,\n", - " 100.24231157, 47.68949798, 42.17103989, 97.67641453,\n", - " 75.76305587, 73.8627147 , 90.18344548, 76.30478695,\n", - " 102.73397122, 102.74367714, 57.82980886, 92.96313196,\n", - " 81.18074192, 101.38878938, 76.49096051, 86.06889653,\n", - " 93.63998024, 93.1884128 , 93.60455657, 102.45658479,\n", - " 99.94739198, 96.60651321, 103.43843318, 99.1504501 ,\n", - " 118.12132123, 63.24731031, 52.33136495, 118.77924399,\n", - " 106.4622744 , 111.11258928, 104.17210827, 123.75300971,\n", - " 88.87924511, 57.74722595, 59.15921014, 65.6053508 ,\n", - " 68.93237741, 144.05662411, 75.2886572 , 74.81077404,\n", - " 83.55275448, 79.76251631, 94.43359109, 86.96060459,\n", - " 102.87720417, 102.58733285, 98.11710958, 100.36798965,\n", - " 83.03725899, 98.05991642, 101.85272246, 101.85390684,\n", - " 90.33342133, 88.17307258, 96.59877139, 102.64901117,\n", - " 99.88549931, 101.08031555, 100.93581062, 67.24331267,\n", - " 93.12860492, 113.43512932, 99.43197507, 74.66600546,\n", - " 114.68702708, 68.16007401, 87.99064858, 98.92031427,\n", - " 93.65147045, 94.34843052, 99.36358532, 48.72257734,\n", - " 49.50946456, 102.31922171, 102.06965875, 97.62048788,\n", - " 103.46903422, 103.46579864, 129.75772524, 111.97041654,\n", - " 93.57262596, 100.81565141, 87.17906311, 92.77035827,\n", - " 94.29438963, 79.381405 , 67.89870997, 102.36308279,\n", - " 103.11516099, 80.2628248 , 80.17021549, 97.52209693,\n", - " 103.16539871, 86.20663765, 94.51784143, 97.37409253,\n", - " 95.3250051 , 57.01920027, 80.7958523 , 75.46500937,\n", - " 81.22335226, 68.84485433, 66.64938421, 95.09216554,\n", - " 59.12146332, 102.40838705, 105.70905984, 102.74534153,\n", - " 95.93506127, 100.06388962, 67.67318204, 96.73090583,\n", - " 102.90162538, 66.23842414, 92.35172285, 94.24654549,\n", - " 128.10652786, 93.60573287, 93.49953345, 84.80540524,\n", - " 95.28617539, 101.55568413, 102.09921986, 78.44927438,\n", - " 76.49714853, 119.31564528, 81.96120816, 61.83173842,\n", - " 103.11745753, 103.11827452, 73.40332524, 72.91680313,\n", - " 94.67769274, 65.67708622, 80.67620631, 90.16353096,\n", - " 84.17624461, 94.8066763 , 80.30871943, 79.71318398,\n", - " 90.79023295, 87.15669416, 97.39686663, 101.75473694,\n", - " 85.65477624, 84.01439314, 100.31551667, 92.98683178,\n", - " 80.32117121, 92.7149004 , 97.84093872, 88.14407213,\n", - " 102.68598909, 101.69058876, 90.0896022 , 101.50856135,\n", - " 98.77226254, 85.92663671, 61.99331368, 55.18050535,\n", - " 60.19804801, 92.53119047, 91.27273126, 143.08506857,\n", - " 75.01895547, 90.64810566, 100.16381049, 103.26388242,\n", - " 94.0797925 , 101.5837694 , 94.44340515, 68.26955691,\n", - " 69.78263908, 88.32931385, 80.040057 , 83.00468737,\n", - " 94.90236645, 54.64618162, 75.56628934, 86.22835492,\n", - " 102.01479986, 128.79036406, 81.08488969, 86.79684626,\n", - " 97.96190118, 104.12555153, 103.91291112, 90.49749766,\n", - " 93.37563899, 86.34438277, 79.50600407, 76.54952663,\n", - " 72.52548079, 95.31737339, 95.02353959, 100.38378403,\n", - " 104.85854146, 81.24010216, 93.5541242 , 80.82474581,\n", - " 68.12508117, 66.34543141, 141.46482377, 109.29379699,\n", - " 60.76657545, 62.70984376, 113.58810421, 101.45308378,\n", - " 76.27166086, 93.12213548, 61.54869122, 60.57160542,\n", - " 99.44810662, 104.12423405, 81.99386752, 100.40737285,\n", - " 102.88687002, 102.24447169, 105.10570713, 99.84099922,\n", - " 80.40023268, 99.34351456, 93.63469621, 100.77747499,\n", - " 72.95023971, 72.52941396, 132.31341007, 132.54592816,\n", - " 99.1072119 , 64.18921626, 93.04825879, 87.04260375,\n", - " 103.44728848, 93.78225044, 60.14583322, 59.95626174,\n", - " 87.02161969, 95.97002334, 92.53574148, 100.25699225,\n", - " 97.61452194, 98.79528731, 98.80174551, 105.82767848,\n", - " 92.87065906, 93.35546022, 83.99382449, 82.30148456,\n", - " 114.68805032, 111.42685011, 102.51394145, 95.65691585,\n", - " 90.04987017, 75.05523119, 112.05095364, 85.87060383,\n", - " 96.1126084 , 95.79689503, 99.35701983, 71.01115708,\n", - " 89.2511337 , 65.28443847, 98.27604333, 100.52184811,\n", - " 53.95219377, 93.26901755, 94.69626652, 97.02941727,\n", - " 115.63508966, 110.84269124, 101.658817 , 91.19231269,\n", - " 96.28620945, 94.58288889, 100.7348562 , 99.47243071,\n", - " 102.32499701, 120.18709596, 130.55612266, 100.10967179,\n", - " 100.31389051, 101.41945773, 100.6716933 , 98.8792701 ,\n", - " 93.75669813, 101.03252509, 88.0754183 , 92.8035492 ,\n", - " 97.13434496, 88.60610368, 75.85442305, 132.02431459,\n", - " 92.39941132, 84.19494041, 93.03143851, 102.10872303,\n", - " 67.03848191, 50.03402053, 40.77732717, 72.77969602,\n", - " 83.04289703, 113.9836304 , 102.80120283, 103.32934235,\n", - " 90.22778523, 51.82824124, 76.37054024, 101.14818045,\n", - " 92.00759713, 64.06574958, 103.24848596, 105.43838934,\n", - " 101.42525269, 99.89171731, 60.18276245, 100.32017022,\n", - " 87.48031953, 94.26771263, 100.5856523 , 103.16555091,\n", - " 95.07802892, 93.37168607, 93.33843649, 63.89791263,\n", - " 62.54905534, 65.49106688, 83.86959619, 76.41067837,\n", - " 106.43529238, 105.14946668, 58.61002671, 64.61740365,\n", - " 89.80054887, 99.40973543, 94.33323565, 94.1666114 ,\n", - " 94.18085866, 98.2319051 , 91.35343077, 98.17711829,\n", - " 97.37577627, 78.85357374, 101.14709545, 73.29070719,\n", - " 100.47896689, 61.19487908, 46.23428 , 101.53760314,\n", - " 81.4187396 , 76.51110853, 105.26408831, 57.0013474 ,\n", - " 115.43261163, 117.41038072, 92.94859859, 93.46971199,\n", - " 92.61045587, 98.97947927, 88.21538467, 99.27792085,\n", - " 97.89465959, 97.31474985, 90.79736915, 111.35771605,\n", - " 44.05092204, 45.37050236, 72.39792356, 102.12084479,\n", - " 86.6320089 , 47.85614121, 58.8811406 , 104.43726689,\n", - " 99.82762333, 100.4276015 , 91.74222667, 44.73363561,\n", - " 99.62405105, 90.27244055, 103.13500363, 90.38681531,\n", - " 99.24130869, 98.21581273, 93.44682931, 101.36081025,\n", - " 64.69361482, 54.09522209, 100.73829283, 94.79471 ,\n", - " 103.18406357, 124.65359853, 89.28223947, 97.06881288,\n", - " 52.5231095 , 39.57297279, 102.4868602 , 104.29567108,\n", - " 100.47798524, 100.96441578, 74.73521475, 64.51638256,\n", - " 91.51093048, 76.22402359, 76.90892205, 114.15471803,\n", - " 106.33944363, 104.48189117, 79.91531234, 41.74484851,\n", - " 41.95117738, 95.89440245, 91.12426791, 103.54039606,\n", - " 97.96052214, 47.0551458 , 47.31170338, 71.58831924,\n", - " 103.05317661, 101.41495554, 77.58588346, 102.34701723,\n", - " 102.63087529, 103.38105437, 89.18942862, 79.9349899 ,\n", - " 95.74292307, 101.65339985, 102.04641702, 101.45998976,\n", - " 101.1382895 , 94.85031816, 98.84016465, 102.93831132,\n", - " 87.7064585 , 102.929495 , 74.91261136, 97.65556596,\n", - " 98.74442446, 98.68341111, 97.6612164 , 101.46534656,\n", - " 105.98017075, 94.61582283, 136.60086376, 113.64040659,\n", - " 116.45991663, 95.49044719, 93.81238221, 92.87916232,\n", - " 87.81173991, 100.75333417, 101.78000895, 100.52684561,\n", - " 95.36839656, 101.85297132, 100.3075493 , 68.20581715,\n", - " 123.25896283, 90.71185051, 92.86160144, 95.65901943,\n", - " 82.73130144, 42.69174496, 109.82367997, 96.77358388,\n", - " 69.93311515, 65.16864399, 86.39016493, 90.74102431,\n", - " 91.90851579, 73.66423187, 123.22270722, 101.00299652,\n", - " 97.97632674, 93.75119542, 50.70605756, 95.58624365,\n", - " 99.86906713, 92.51944078, 83.15861627, 61.64873126,\n", - " 43.34833327, 93.18545931, 82.05751783, 84.7759286 ,\n", - " 98.16722717, 97.43444487, 97.28855379, 96.26840609,\n", - " 97.01682152, 102.41464816, 103.01294859, 68.60577777,\n", - " 102.26605977, 96.30929066, 94.97183346, 84.3507192 ,\n", - " 108.49694932, 91.0774709 , 81.05527343, 100.2622918 ,\n", - " 130.42922394, 90.06827393, 92.44446281, 88.02082813,\n", - " 77.77719771, 98.71868905, 93.33239848, 102.65252207,\n", - " 117.55541864, 94.93016216, 101.32544697, 92.16999439,\n", - " 93.9898541 , 91.40647195, 94.96409067, 94.24380024,\n", - " 82.39352979, 102.1233868 , 81.93590674, 100.03612879,\n", - " 104.86313425, 94.13772147, 97.15495217, 91.28710586,\n", - " 92.15617221, 78.61859448, 88.90420197, 96.29994611,\n", - " 101.20332038, 87.96466461, 67.70008967, 91.59332153,\n", - " 98.36911173, 96.05147482, 107.00181799, 94.65973212,\n", - " 100.3157018 , 63.82085653, 95.35946891, 94.3948215 ,\n", - " 105.35066255, 110.83500213, 81.69213614, 125.60500579,\n", - " 73.59854943, 75.3996036 , 73.65396789, 115.92210956,\n", - " 95.13725858, 89.99113907, 99.52199427, 91.92809781,\n", - " 41.71667563, 41.30925513, 104.60667327, 97.76018408,\n", - " 93.68555704, 101.38409467, 100.06165822, 98.49091849,\n", - " 102.03570044, 117.2868586 , 71.63129815, 100.28167712,\n", - " 100.3025397 , 103.28670282, 92.1615142 , 103.4427513 ,\n", - " 101.8794309 , 92.62413718, 96.8564441 , 98.89147175,\n", - " 103.6017618 , 88.31306862, 87.78961412, 94.41112736,\n", - " 86.68866145, 89.47564704, 73.78920179, 93.90336904,\n", - " 93.96274479, 93.58131238, 102.35347915, 105.24576814,\n", - " 45.68166125, 75.90315022, 86.15335638, 41.14132269,\n", - " 49.05176042, 70.93932905, 93.69258607, 56.59659764,\n", - " 94.89733072, 94.89675204, 103.46671829, 91.16220864,\n", - " 89.31982317, 99.9027106 , 99.3054932 , 72.39640598,\n", - " 66.94990587, 101.7501631 , 101.34656183, 85.41976697,\n", - " 50.81359464, 100.68553125, 99.78059844, 86.03972834,\n", - " 109.03425268, 89.95058044, 98.7398575 , 83.63056792,\n", - " 105.2878982 , 66.43443985, 57.60244764, 96.62498114,\n", - " 73.40184158, 97.38183335, 95.07658353, 62.63600238,\n", - " 101.11028215, 79.88897331, 84.10046029, 100.27360673,\n", - " 90.0645329 , 95.07954496, 97.92201904, 52.79332218,\n", - " 67.21613654, 97.90528352, 43.32955096, 74.56374701,\n", - " 50.14238686, 91.50255835, 69.41149085, 93.74326159,\n", - " 117.38538326, 81.48603463, 73.88326971, 70.4278527 ,\n", - " 92.49357928, 75.97557382, 86.98653333, 39.75157038,\n", - " 101.64298028, 69.93018702, 90.91662033, 94.74050602,\n", - " 103.2396023 , 102.20691837, 92.98246814, 76.56438586,\n", - " 100.31703095, 95.66798191, 100.06208657, 50.04780146,\n", - " 105.57987558, 83.77791668, 90.15189794, 90.39979835,\n", - " 74.68958394, 100.79762008, 86.92711408, 94.99399018,\n", - " 59.43235113, 102.90022725, 119.96360283, 93.05855222,\n", - " 74.31946504, 87.96180905, 101.9546821 , 93.26942625,\n", - " 55.38350416, 70.73039119, 76.07820289, 84.51877755,\n", - " 94.41417241, 70.28315193, 98.82141862, 93.54515713,\n", - " 69.80831869, 85.73223727, 91.56812033, 93.37542147,\n", - " 95.61598762, 90.83750675, 65.3423709 , 90.01556683,\n", - " 102.78215537, 48.13162335, 45.64523961, 91.73426515,\n", - " 90.57732786, 90.53627773, 72.16194945, 102.41620198,\n", - " 67.77568711, 87.91582889, 92.18790732, 91.42221522,\n", - " 103.95965763, 73.85492102, 92.6157705 , 50.92040524,\n", - " 79.31641506, 84.35494033, 68.69339085, 100.15382722,\n", - " 59.10112358, 65.95116614, 87.39860475, 52.49999361,\n", - " 98.79513696, 106.46237509, 99.33287441, 99.1387898 ,\n", - " 97.89463458, 103.44452395, 45.84043078, 106.39194275,\n", - " 85.69694991, 88.26610671, 102.30542069, 88.9960378 ,\n", - " 87.48965999, 90.07033855, 89.52677057, 87.24306301,\n", - " 80.13178092, 93.4164463 , 84.93238862, 68.04790564,\n", - " 123.41939832, 50.08912603, 96.7099969 , 132.87171061,\n", - " 88.4683022 , 84.15370938, 100.31570107, 98.49986101,\n", - " 54.94679272, 67.44036978, 88.16103298, 54.93791717,\n", - " 95.94273216, 62.90541911, 92.40901293, 90.36132067,\n", - " 97.7286029 , 105.55634462, 104.29139149, 105.35280341,\n", - " 80.11840564, 87.06900677, 89.76386134, 98.35191412,\n", - " 91.63836153, 85.00015968, 108.44380932, 92.17259596,\n", - " 89.50089003, 92.01986777, 91.17491155, 91.84349359,\n", - " 93.72576178, 97.58360508, 89.92557021, 89.95849706,\n", - " 104.91785993, 96.79584253, 96.05398718, 102.97576424,\n", - " 77.83822223, 129.15099819, 96.16174174, 80.99850898,\n", - " 73.56506025, 88.72909886, 84.41423264, 46.82991395,\n", - " 101.32085066, 124.47382341, 88.08460476, 96.67098202,\n", - " 76.33692412, 90.90364583, 92.38840655, 92.17965024,\n", - " 99.23477474, 51.8517793 , 95.88099675, 101.98412947,\n", - " 63.40973062, 92.80114608, 91.16496882, 92.97454632,\n", - " -1.6634491 , 60.80398908, 54.08747923, 93.11320811,\n", - " 94.97183346, -0.43068574, -0.79462406, 106.2856646 ,\n", - " 59.34764429, 51.9562831 , 83.98593711, 7.89979262,\n", - " 29.32883671, 113.99009265, 73.66057864, 39.99 ,\n", - " 139.6764948 , 135.98400151, 1.72776122, 135.86262536,\n", - " 140.90023574, 48.55864157, 141.17041066, 103.2282812 ,\n", - " 102.82472416, -0.45789511, 169.95209061, 14.66561006,\n", - " 48.81732713, 156.31695601, 120.72673142, 92.48050484,\n", - " 73.66057867, 73.20610044, 139.67649442, 135.98400173,\n", - " 0. , 0. , 57.23981647, 76.21972528,\n", - " 46.194113 , 64.28529793, 31.36752002, 42.31905477,\n", - " 26.77547469, 35.03249903, 56.43244531, 51.7774794 ,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 64.1225639 , 51.98579514, 86.60141508, 60.14741966,\n", - " 101.14979365, 101.16004366, 102.10921086, 99.62221692,\n", - " 81.79348757, 49.66457694, 99.80351086, 101.13580028,\n", - " 64.49494162, 94.23304198, 94.20535127, 95.70560884,\n", - " 64.06858002, 72.18331054, 81.204031 , 92.28434284,\n", - " 96.54003062, 95.55157916, 91.92747385, 96.57681777,\n", - " 101.66059053, 100.32075325, 91.78704283, 88.59835564,\n", - " 61.9921864 , 144.12755485, 86.27972807, 91.20096382,\n", - " 95.45531763, 58.60366292, 91.94332965, 64.74648092,\n", - " 84.54608473, 74.98747843, 41.1471448 , 55.64230329,\n", - " 84.63496929, 86.98266443, 90.93802661, 83.76341054,\n", - " 101.98278259, 65.43468565, 102.79818857, 70.61210177,\n", - " 102.01391162, 59.95881497, 99.94226402, 99.07074075,\n", - " 95.77272267, 101.8281291 , 62.75492496, 95.19595804,\n", - " 95.00386112, 101.83028955, 93.83815011, 48.32657729,\n", - " 85.81267359, 76.14928877, 92.24828346, 92.15380259,\n", - " 76.699055 , 83.13093131, 85.13909767, 82.63868352,\n", - " 88.15472424, 367.11152127, 75.64919032, 83.48540723,\n", - " 97.15467438, 97.68672346, 87.05043273, 92.84148913,\n", - " 44.57067158, 99.20065788, 95.91948188, 91.47913591,\n", - " 43.6246917 , 88.27062725, 76.28506683, 98.21719041,\n", - " 96.42118912, 96.25288825, 89.42207408, 99.49173392,\n", - " 99.58697588, 46.22679075, 40.70833424, 96.8977918 ,\n", - " 74.30039612, 72.40003297, 86.72089907, 72.84219148,\n", - " 101.33420816, 101.34391408, 57.08613178, 92.21967734,\n", - " 73.28604159, 94.45683773, 69.82029449, 79.13603932,\n", - " 92.15958547, 91.70765943, 92.48412565, 101.79388863,\n", - " 98.53719367, 95.23240022, 102.75971401, 98.47142903,\n", - " 112.03923301, 56.05940501, 45.14961491, 112.24357479,\n", - " 105.78357641, 110.0968656 , 103.15622694, 118.14293604,\n", - " 82.34317369, 51.10029955, 52.48371763, 58.63069681,\n", - " 61.97882659, 143.25275001, 72.70610581, 72.22752949,\n", - " 76.07990825, 72.00211438, 91.95242844, 84.47452275,\n", - " 102.21105484, 101.92188887, 96.96380976, 99.23357388,\n", - " 78.84751792, 95.58834806, 100.45494336, 100.45553499,\n", - " 89.12233504, 86.94992539, 96.05964449, 101.61979895,\n", - " 99.23074276, 99.62044933, 99.47773675, 63.053565 ,\n", - " 92.35914605, 112.19552714, 98.65820995, 72.7460106 ,\n", - " 108.36971657, 55.2660782 , 81.76931505, 98.239109 ,\n", - " 92.94680168, 93.63972048, 97.90222223, 47.10246477,\n", - " 47.85012444, 100.91926495, 101.53510553, 97.05788705,\n", - " 102.4276616 , 102.42374427, 128.49170729, 110.68825976,\n", - " 92.86909099, 99.35428645, 85.22012442, 90.81141789,\n", - " 93.59460893, 77.91869741, 66.43595074, 100.9579569 ,\n", - " 101.71533587, 78.80016301, 78.70754182, 95.31202802,\n", - " 101.70400736, 84.2362008 , 92.55145843, 95.6069005 ,\n", - " 93.55689191, 55.42771517, 77.72207006, 72.38935627,\n", - " 78.98871967, 66.61022522, 65.24638155, 93.67471269,\n", - " 57.72951132, 101.65459397, 104.96669255, 101.41425652,\n", - " 95.26923059, 99.3980588 , 56.79475186, 95.33177842,\n", - " 101.50190428, 53.35037025, 90.91640868, 92.30198367,\n", - " 127.15527918, 92.1272356 , 92.0205176 , 82.40983955,\n", - " 92.88892868, 100.15597379, 100.69951327, 70.38274897,\n", - " 68.61296748, 113.98519832, 76.12557814, 55.25649813,\n", - " 101.64401166, 101.64496821, 65.20549974, 64.74524804,\n", - " 90.77780633, 61.77023145, 79.21351084, 84.0762715 ,\n", - " 81.10216157, 90.62742754, 78.84601375, 78.25047663,\n", - " 89.3277174 , 85.18623967, 96.67668672, 101.03284524,\n", - " 78.77256828, 77.14093244, 98.36733174, 91.64016864,\n", - " 76.54840549, 91.3825427 , 96.36761057, 81.98618038,\n", - " 101.27999798, 100.42843083, 88.82685385, 100.17737238,\n", - " 97.47921881, 79.02932051, 58.91130116, 51.40629853,\n", - " 57.11602276, 91.34262872, 90.00926807, 142.22139167,\n", - " 68.14476242, 87.63608066, 98.76746474, 101.8634715 ,\n", - " 92.80686721, 100.12291222, 93.17062326, 66.37506568,\n", - " 67.88807451, 81.94355271, 73.65341703, 81.51976248,\n", - " 93.42729761, 51.55786726, 74.77643595, 85.4393586 ,\n", - " 100.64618545, 127.92764421, 79.69306817, 85.40502951,\n", - " 96.19463763, 102.99484831, 102.78217628, 88.71338551,\n", - " 91.89650653, 84.3689099 , 72.02773715, 69.0487669 ,\n", - " 70.2908523 , 93.41175104, 93.11799562, 99.73309103,\n", - " 104.19287161, 79.97762823, 92.07382811, 79.56180731,\n", - " 66.66238923, 64.88273947, 140.57029249, 108.28350221,\n", - " 59.37475168, 61.31802093, 107.28390021, 95.08806138,\n", - " 74.48739536, 86.03896011, 59.76190611, 56.20653968,\n", - " 98.77607012, 103.45219695, 78.63860651, 99.14521535,\n", - " 101.6247177 , 101.71067128, 104.55929462, 98.44468944,\n", - " 72.52541594, 97.94749369, 92.21941564, 99.37774323,\n", - " 71.5583348 , 71.13750804, 131.20652847, 131.43895723,\n", - " 97.71254582, 62.4049499 , 91.26270685, 85.65078484,\n", - " 102.40133391, 92.30149707, 56.37444466, 56.31669886,\n", - " 84.53539314, 94.87370344, 91.05508514, 98.97330979,\n", - " 96.22106195, 97.4010696 , 97.40743267, 98.97048934,\n", - " 91.47898559, 91.96061592, 82.53111359, 80.83877363,\n", - " 108.36518534, 105.10369064, 101.11452835, 94.1761832 ,\n", - " 84.18398209, 69.185803 , 105.16221249, 78.97660027,\n", - " 94.77141754, 94.45700737, 97.983918 , 63.24605345,\n", - " 88.5469679 , 64.58027148, 96.57646393, 99.22741833,\n", - " 46.06724389, 91.9388319 , 93.38686936, 95.6302589 ,\n", - " 108.88984443, 104.236491 , 100.30317463, 89.80059311,\n", - " 94.94422314, 93.24554248, 99.39845232, 98.07653129,\n", - " 100.92765116, 114.13596406, 124.49265301, 98.14928295,\n", - " 98.36310181, 100.0028775 , 99.25526957, 97.48336628,\n", - " 92.42138697, 99.57009944, 85.8407927 , 92.09945759,\n", - " 95.67229933, 87.14344201, 68.94468711, 125.11348292,\n", - " 90.63185919, 76.72148993, 89.97104231, 100.7739546 ,\n", - " 59.99452091, 42.90175695, 40.07315808, 65.74453045,\n", - " 76.86111642, 107.16580918, 102.10585864, 102.631622 ,\n", - " 85.88000051, 48.71792145, 72.00983514, 99.68683683,\n", - " 90.54624653, 61.45491293, 100.62565773, 104.76635218,\n", - " 99.95194089, 98.41840552, 58.70816711, 98.37051257,\n", - " 85.60079577, 92.95089385, 99.29321352, 101.7525608 ,\n", - " 92.43450416, 92.01883256, 91.98560041, 55.81574331,\n", - " 61.08629552, 52.60074849, 82.08538053, 74.51895793,\n", - " 105.8442023 , 104.5279839 , 55.64198188, 61.79059512,\n", - " 88.31610783, 97.99586998, 92.56012955, 92.81352229,\n", - " 92.82794831, 96.75860631, 89.95715093, 96.79638784,\n", - " 96.00266338, 70.97708737, 100.44422895, 72.58783903,\n", - " 99.063295 , 54.00696975, 39.62333239, 100.14072698,\n", - " 78.34568253, 75.11474156, 104.77338838, 53.59872769,\n", - " 114.44922131, 116.43169536, 91.72358822, 92.00261365,\n", - " 91.14431679, 97.02991868, 86.30653899, 97.32835701,\n", - " 96.11865917, 95.5387443 , 89.46985805, 110.46317693,\n", - " 41.13277177, 42.44958752, 68.87117055, 100.76520242,\n", - " 84.72304223, 44.77048095, 56.92080998, 103.30775955,\n", - " 97.86713098, 99.78076886, 91.27969192, 44.27110001,\n", - " 98.20933903, 88.85317995, 101.73732819, 88.95244136,\n", - " 98.50911763, 96.82189706, 92.05550037, 99.88750403,\n", - " 57.51251881, 46.9361372 , 99.4065671 , 93.48726755,\n", - " 101.78646737, 123.14061659, 85.93427713, 93.72085034,\n", - " 46.33258274, 33.37952175, 101.0874471 , 103.63770423,\n", - " 99.06311871, 99.54956006, 67.66331086, 53.54031045,\n", - " 90.24114535, 69.16299772, 69.8471527 , 112.91550993,\n", - " 105.91366034, 104.0529134 , 77.03300087, 34.58954752,\n", - " 34.7845718 , 94.47895549, 89.64353878, 102.12819048,\n", - " 96.19317122, 45.59243835, 45.84899607, 70.12562754,\n", - " 101.65621583, 100.01868709, 76.83958143, 101.84402089,\n", - " 101.23420827, 102.87806015, 88.68669687, 78.47228248,\n", - " 94.28171707, 100.18495353, 100.57790347, 100.02804256,\n", - " 99.68105577, 93.71950253, 92.0183767 , 101.54211435,\n", - " 86.22105013, 101.21219146, 72.41817058, 96.23850815,\n", - " 97.3103751 , 97.83621777, 96.19207788, 100.17408857,\n", - " 105.5267804 , 93.27673759, 131.55540832, 112.62463483,\n", - " 109.67723833, 88.68801131, 93.34083136, 92.4090734 ,\n", - " 85.90246322, 99.356742 , 100.38228483, 99.13027828,\n", - " 88.32438578, 100.45525623, 98.355619 , 65.71137564,\n", - " 117.12798738, 89.22345782, 91.53117554, 93.87249934,\n", - " 77.06357949, 35.4879439 , 107.32258392, 93.715487 ,\n", - " 61.86212952, 58.42706209, 83.99458273, 89.34453064,\n", - " 90.51202821, 65.5150162 , 121.07162833, 99.66745118,\n", - " 96.51705067, 90.69133838, 49.21553682, 93.18667976,\n", - " 98.45392658, 91.10293722, 80.33700453, 54.44478365,\n", - " 36.1203799 , 91.78938805, 80.9239981 , 78.69635122,\n", - " 96.37622591, 95.66129398, 95.33898992, 95.61169754,\n", - " 96.35902153, 101.74261091, 102.34091129, 62.03411844,\n", - " 101.59028743, 95.63349569, 91.07176797, 82.55961732,\n", - " 107.23240482, 89.77842565, 77.97962049, 99.55808215,\n", - " 129.48685678, 88.64568828, 91.02902777, 82.27874204,\n", - " 71.90121611, 97.31823681, 89.47254105, 101.25261529,\n", - " 116.31419804, 93.68783542, 100.6238045 , 90.68925619,\n", - " 92.50911583, 89.93903649, 93.70179743, 92.98150366,\n", - " 79.31785143, 100.78667691, 78.86022524, 99.38527139,\n", - " 104.42891626, 93.67521087, 95.69315245, 89.80636841,\n", - " 90.67543403, 70.38080872, 87.11339641, 94.51312249,\n", - " 99.85052358, 86.17353677, 65.90896171, 89.80219989,\n", - " 96.92965415, 94.61201684, 100.86477354, 88.80318036,\n", - " 98.36523902, 60.99404553, 94.01542894, 90.47172229,\n", - " 104.84766826, 105.22417251, 80.9879263 , 120.41655545,\n", - " 66.55391111, 74.00778206, 72.26214634, 109.10711256,\n", - " 93.79362559, 87.50729215, 93.14383369, 85.54977979,\n", - " 34.5530647 , 34.14305374, 103.90784722, 95.85456074,\n", - " 92.27033679, 99.92267091, 98.79597936, 91.61787903,\n", - " 101.00464021, 110.74678595, 68.18392154, 98.32509205,\n", - " 98.34970778, 102.58898128, 90.74598189, 102.39584073,\n", - " 100.48329016, 91.14347224, 95.45728868, 97.30984635,\n", - " 102.20191563, 86.52209335, 85.8805836 , 92.50530825,\n", - " 85.203239 , 87.99022458, 71.89443867, 92.46860531,\n", - " 92.54309531, 92.18468441, 100.95788357, 104.75611078,\n", - " 38.69526788, 74.41156639, 79.98810479, 33.95019072,\n", - " 40.98009474, 62.91285081, 92.22360356, 48.56957551,\n", - " 90.9815671 , 90.98086648, 102.42485769, 89.70830776,\n", - " 87.85161372, 97.94263587, 97.34541848, 71.00002297,\n", - " 65.55349426, 100.28776645, 99.9315179 , 83.62837506,\n", - " 44.16663915, 99.28582994, 99.12364035, 84.24860028,\n", - " 106.47499066, 88.17930372, 98.04064249, 81.14298959,\n", - " 104.59017711, 65.64365861, 52.73880294, 90.24942904,\n", - " 71.0062448 , 96.00954077, 93.71708642, 58.72018885,\n", - " 100.40815832, 77.40139377, 77.22658253, 99.60777589,\n", - " 88.64544895, 94.58981275, 91.10700689, 52.39372248,\n", - " 65.7534331 , 95.538671 , 35.89487482, 68.17707867,\n", - " 44.47117977, 90.79846514, 68.70737862, 91.96731721,\n", - " 110.31343241, 80.20095285, 72.49133849, 64.04101037,\n", - " 91.06155261, 70.1094626 , 85.09098722, 31.54683632,\n", - " 100.18161676, 68.53825578, 89.09999547, 93.02116464,\n", - " 102.54188059, 101.50919665, 91.58586778, 74.07660408,\n", - " 98.36680765, 94.1872437 , 99.41483635, 48.58503555,\n", - " 104.32064224, 80.36861301, 88.67079418, 88.91826749,\n", - " 73.38875099, 99.42454669, 84.3849572 , 93.73170645,\n", - " 56.20170039, 102.20126996, 113.64367662, 91.6632502 ,\n", - " 72.85675759, 85.99499061, 100.58166247, 91.98465533,\n", - " 52.41535031, 67.36313925, 73.58373779, 83.0484746 ,\n", - " 92.93503995, 66.92672273, 98.11270624, 92.14924065,\n", - " 62.75793312, 83.85615123, 85.20174589, 91.98409253,\n", - " 94.49996962, 89.35596439, 63.44383844, 88.56166594,\n", - " 101.3088106 , 46.66131897, 38.66892047, 90.25267149,\n", - " 89.14506797, 89.0547356 , 70.69923619, 101.98198388,\n", - " 66.40071593, 86.43042049, 90.79228744, 89.65115776,\n", - " 103.25094405, 72.36753064, 91.1341768 , 47.95222844,\n", - " 72.92972292, 82.58362627, 66.11060059, 99.39011268,\n", - " 57.18308179, 64.38960294, 85.42815009, 49.67838091,\n", - " 97.40081496, 105.78367728, 97.91541804, 97.82938949,\n", - " 96.11862889, 102.39798688, 39.15569801, 105.96622485,\n", - " 83.72649545, 80.13146517, 101.77125165, 86.66372194,\n", - " 85.58073033, 89.23423339, 87.6172923 , 85.33358476,\n", - " 77.05612794, 91.62306859, 83.13901084, 55.15766494,\n", - " 117.8534099 , 47.11926164, 96.17086945, 127.82479439,\n", - " 81.9059639 , 81.07802785, 98.36523815, 98.09999745,\n", - " 53.55496886, 54.5499361 , 87.38194809, 52.39396146,\n", - " 94.59116165, 61.12023642, 90.59642665, 89.02542498,\n", - " 96.26072844, 104.88698445, 97.9684046 , 104.71297014,\n", - " 77.04278293, 86.21965573, 88.29606546, 96.65233471,\n", - " 89.8667177 , 83.19761072, 105.89279896, 90.83079002,\n", - " 82.56437123, 90.24747614, 89.77798359, 90.44148584,\n", - " 91.8202176 , 97.15203932, 87.97600564, 88.00893166,\n", - " 104.25058316, 94.47345553, 94.70734037, 101.50239163,\n", - " 76.56793348, 128.17004103, 94.25600808, 79.46728771,\n", - " 72.03206484, 86.77561663, 78.0271296 , 45.10858132,\n", - " 99.9604607 , 123.49286528, 86.17557424, 95.29686771,\n", - " 74.85487439, 89.42295624, 90.90686189, 91.71484367,\n", - " 97.88439583, 50.95300246, 94.4258232 , 100.61111065,\n", - " 63.38956421, 90.88237993, 89.67724608, 91.49379599,\n", - " -1.6634491 , 57.3078649 , 51.00941678, 82.84510858,\n", - " 91.07176797, -0.43075935, -0.79469797, 105.54470316,\n", - " 55.98377311, 44.25109109, 79.80221874, 2.74350875,\n", - " 28.53995897, 111.43908229, 66.97712582, 39.99 ,\n", - " 134.75255827, 130.75297945, 1.72776122, 130.6727301 ,\n", - " 136.02464945, 40.2414958 , 140.05688318, 101.82923973,\n", - " 101.42525256, -0.4580209 , 169.1179489 , 7.8421763 ,\n", - " 44.96059422, 153.8276396 , 120.7025399 , 85.39732947,\n", - " 66.97712585, 72.86074686, 134.75255788, 130.75297968,\n", - " 0. , 0. , 56.7431752 , 75.96924069,\n", - " 46.194113 , 64.28529793, 30.95940234, 42.31905477,\n", - " 26.77547469, 35.01374001, 56.03909038, 50.82294487,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 61.6699796 , 49.95209679, 81.07896911, 54.62497368,\n", - " 100.45137095, 100.44337232, 101.39309262, 99.00136057,\n", - " 80.95980731, 48.8266736 , 98.96311831, 100.29795342,\n", - " 62.39011991, 93.60355864, 93.51027174, 95.01052931,\n", - " 62.78110568, 71.13597179, 80.48658768, 91.56689951,\n", - " 95.91817901, 94.93188384, 91.23189645, 96.46672101,\n", - " 100.82592599, 99.49820987, 91.0912965 , 87.73192952,\n", - " 61.12576028, 143.97771272, 81.02945725, 90.33473895,\n", - " 94.58910351, 57.7792485 , 90.14136838, 63.92206601,\n", - " 83.7216745 , 74.1630682 , 40.32273208, 54.81788956,\n", - " 83.75866428, 86.10635942, 89.10735289, 81.0115946 ,\n", - " 101.28295341, 65.41643205, 102.63271301, 70.87650638,\n", - " 101.31287189, 57.92511661, 99.31612669, 98.42690534,\n", - " 95.07359696, 101.12836761, 61.87861996, 94.31965304,\n", - " 94.12755611, 101.58978755, 93.78441765, 48.08607529,\n", - " 84.92250159, 74.44086003, 92.18282365, 92.08834278,\n", - " 75.87463708, 82.3065134 , 85.02817553, 82.52776138,\n", - " 87.33028227, 365.36705805, 74.8247696 , 82.660997 ,\n", - " 96.90019614, 97.43224522, 86.1840066 , 92.67601358,\n", - " 44.40519602, 99.01206644, 95.732721 , 91.4136761 ,\n", - " 43.52275264, 88.03012487, 76.04456445, 98.48159502,\n", - " 95.56526844, 95.40986178, 88.5976286 , 99.2939153 ,\n", - " 99.39012482, 45.40237976, 39.88392213, 96.7876473 ,\n", - " 73.47597574, 71.57561506, 86.48039671, 72.60168912,\n", - " 100.63444666, 100.64415258, 56.96730909, 92.10085465,\n", - " 73.04553697, 94.45683773, 64.57003703, 79.13603932,\n", - " 91.30890135, 90.85633441, 92.41866584, 101.59379066,\n", - " 97.85011862, 94.56993435, 102.55239657, 98.26411159,\n", - " 112.03923301, 54.20837485, 43.29858476, 112.24357479,\n", - " 105.57625897, 112.63471226, 105.69407361, 118.14293604,\n", - " 82.34317369, 49.0468083 , 50.43860549, 56.68583848,\n", - " 60.03396827, 143.10290788, 72.53194662, 72.0533703 ,\n", - " 74.17030075, 70.05859791, 91.07612344, 83.59821774,\n", - " 102.00941426, 101.72056678, 96.89834995, 99.16811407,\n", - " 76.38015886, 94.71204305, 99.75507706, 99.75464519,\n", - " 89.01759224, 86.84518259, 95.99418468, 101.55433914,\n", - " 99.03452891, 98.80767854, 98.6690466 , 60.58620594,\n", - " 92.2482239 , 112.07461943, 98.54765324, 70.97910468,\n", - " 108.36971657, 53.23237985, 81.667376 , 98.03179157,\n", - " 92.72668805, 93.41747467, 97.07967884, 45.96517905,\n", - " 46.63247457, 100.21597428, 101.46964572, 96.99242724,\n", - " 102.36220179, 102.35828446, 128.37256954, 110.5741297 ,\n", - " 92.64956516, 98.53174307, 83.37011145, 88.96140492,\n", - " 93.37699311, 77.09428701, 65.61154034, 100.25158247,\n", - " 101.01492431, 77.97575434, 77.88313271, 94.47625106,\n", - " 100.88146398, 82.36324884, 90.68839791, 94.74207585,\n", - " 92.69068072, 54.34904225, 74.0106674 , 68.67795361,\n", - " 76.52117662, 64.14268216, 64.55600075, 92.94649926,\n", - " 57.03913052, 101.40667454, 104.72632316, 100.79340018,\n", - " 95.09114786, 99.21997607, 54.76105329, 94.6327359 ,\n", - " 100.80177737, 51.31667189, 90.1544603 , 90.48976999,\n", - " 129.77980353, 91.27946003, 91.17196985, 79.6271107 ,\n", - " 90.05485531, 99.45600522, 99.99955439, 68.39008903,\n", - " 66.65174679, 108.73492254, 74.65753741, 53.7884574 ,\n", - " 100.80316786, 100.80440618, 63.1830383 , 62.72394433,\n", - " 76.64004409, 47.63246921, 78.3891009 , 84.0762715 ,\n", - " 77.39075891, 82.98950371, 78.02160342, 77.4260662 ,\n", - " 88.5032563 , 83.31328771, 96.56320486, 100.91402255,\n", - " 78.77256828, 77.14093244, 96.54704821, 91.00263146,\n", - " 66.98003901, 90.76174773, 95.52748656, 81.88424132,\n", - " 100.57265769, 99.89426749, 88.29269051, 99.5562293 ,\n", - " 96.90623155, 79.02932051, 53.38885518, 41.83793205,\n", - " 51.59357678, 90.89855426, 89.47295427, 142.07154954,\n", - " 67.90425801, 82.50854863, 98.06924861, 101.16360519,\n", - " 92.26179592, 99.30088184, 92.62555197, 65.50863956,\n", - " 67.02164839, 76.69328188, 68.4031462 , 80.65955093,\n", - " 92.58660683, 46.03542129, 74.66744627, 85.33019519,\n", - " 99.97193871, 127.77780207, 79.00268737, 84.71464871,\n", - " 95.33007249, 102.9293885 , 102.71671647, 87.23973397,\n", - " 91.04778065, 82.48336039, 70.11812965, 67.13915939,\n", - " 67.82330925, 91.676105 , 91.38252488, 99.53820515,\n", - " 103.99798573, 79.44346488, 91.22329845, 79.02764397,\n", - " 65.83797301, 64.05832325, 140.42319331, 108.14424935,\n", - " 58.68437088, 60.62764013, 102.03362939, 89.83779056,\n", - " 73.01374382, 85.79845549, 58.28825457, 53.76766805,\n", - " 98.6001849 , 103.27631172, 77.61560496, 98.61105201,\n", - " 101.09055436, 101.64521147, 104.49383481, 97.747356 ,\n", - " 72.28491133, 97.25065582, 91.50205214, 98.67770586,\n", - " 70.867954 , 70.44712724, 135.34992556, 135.61279776,\n", - " 97.01755274, 60.93129836, 90.39628072, 84.96040404,\n", - " 102.3358741 , 91.45017205, 53.84139974, 53.76249008,\n", - " 83.65908813, 94.80824363, 90.20415247, 98.86406651,\n", - " 95.52717553, 96.70582552, 96.71217276, 98.97048934,\n", - " 90.78860479, 91.26681658, 81.70670332, 80.01436337,\n", - " 108.36518534, 105.10369064, 100.41196545, 93.32525053,\n", - " 84.08204303, 69.08386395, 105.16221249, 78.97660027,\n", - " 94.13889284, 93.82621208, 97.31258703, 61.30253698,\n", - " 88.38149234, 64.41479592, 95.26732895, 98.65260707,\n", - " 44.1060232 , 91.32053276, 92.79388304, 94.93115646,\n", - " 108.88984443, 104.236491 , 99.65148129, 89.11021231,\n", - " 94.31064116, 92.6181139 , 98.77141279, 97.37989442,\n", - " 100.23087149, 108.88569323, 119.24238219, 96.30054805,\n", - " 96.53684204, 99.2754161 , 98.52812692, 96.78671808,\n", - " 91.79657638, 98.74560968, 83.37324965, 91.93398204,\n", - " 94.8487854 , 86.31903514, 63.69442977, 119.86322558,\n", - " 89.76539741, 74.81188242, 84.49469878, 100.14879283,\n", - " 58.14349076, 41.0507268 , 39.90768253, 63.89747544,\n", - " 75.29757669, 101.91555184, 101.89048387, 102.41514963,\n", - " 78.24207669, 43.24157792, 64.37191132, 98.86429345,\n", - " 89.72370314, 61.28075375, 100.45149855, 104.59046696,\n", - " 99.1113678 , 97.57783242, 57.87448685, 96.54685479,\n", - " 84.73436964, 92.84895479, 98.72098513, 101.03722006,\n", - " 88.50097066, 91.37397765, 91.3407686 , 53.82308337,\n", - " 60.26188512, 50.56705014, 80.61172898, 73.6525318 ,\n", - " 105.67962568, 104.34679636, 53.35964046, 59.68269493,\n", - " 87.45696258, 97.27919434, 91.69408562, 92.16835108,\n", - " 92.18301752, 95.91848184, 89.26174369, 96.11724961,\n", - " 95.33244579, 70.73658276, 100.2787534 , 72.42236347,\n", - " 98.33751953, 52.1559396 , 37.55962206, 99.44236186,\n", - " 74.63427987, 74.41927868, 104.70792857, 50.24935422,\n", - " 116.98706797, 118.96954202, 91.61884542, 91.1772777 ,\n", - " 90.32075622, 95.20740083, 85.44011288, 95.50583915,\n", - " 95.25243875, 94.67252388, 88.8550845 , 110.31607776,\n", - " 37.31003963, 38.62685538, 67.82383181, 100.11350908,\n", - " 83.85661612, 39.24803497, 56.05438386, 103.24229974,\n", - " 96.0181517 , 99.58740801, 91.21039858, 44.20180666,\n", - " 97.49073594, 88.12348029, 101.03779705, 88.19241495,\n", - " 98.27425817, 96.12796287, 91.36544889, 99.04694211,\n", - " 55.66148865, 45.08510704, 98.78533445, 92.89665251,\n", - " 101.08734898, 122.9664574 , 79.84138346, 87.62795668,\n", - " 44.76904301, 31.81598202, 100.3848842 , 103.4398856 ,\n", - " 98.35192534, 98.8383667 , 65.79111465, 51.5066121 ,\n", - " 89.69704406, 67.29821412, 67.98236909, 112.7945783 ,\n", - " 105.84872758, 103.98798065, 73.21026873, 32.73851736,\n", - " 32.93354165, 93.76502046, 88.79260611, 101.41699712,\n", - " 95.32854446, 44.76802766, 45.02458516, 69.30121132,\n", - " 100.95948055, 99.32203226, 76.72075874, 101.72563903,\n", - " 100.53649724, 102.75967829, 88.56831501, 77.6478721 ,\n", - " 93.46760067, 99.35094924, 99.74368509, 99.2707465 ,\n", - " 98.87426984, 93.65404272, 86.76811936, 100.84516445,\n", - " 85.35984083, 101.11025241, 70.70974183, 95.5103285 ,\n", - " 96.54914567, 97.72529563, 95.36166603, 99.60329879,\n", - " 105.45958555, 92.6471899 , 126.7021562 , 115.16248149,\n", - " 109.67723833, 88.68801131, 93.27019955, 92.33871261,\n", - " 84.15843427, 98.65846203, 99.68251053, 98.43200547,\n", - " 88.08388123, 99.75551045, 96.52672415, 64.00294689,\n", - " 111.87771656, 88.37216342, 90.91263603, 93.00607321,\n", - " 75.62849611, 33.6408889 , 107.32258392, 88.23914346,\n", - " 59.79907448, 56.40371271, 81.21185388, 88.6489725 ,\n", - " 89.81647752, 63.45639581, 120.83112642, 99.04141661,\n", - " 95.70654394, 85.21499485, 48.34332919, 90.338348 ,\n", - " 97.73416525, 90.37854411, 76.4856124 , 52.5937535 ,\n", - " 34.26934975, 91.09421095, 80.85853829, 73.44608039,\n", - " 95.50979979, 94.79527189, 93.51647206, 95.4154837 ,\n", - " 96.16280768, 101.56672569, 102.16502606, 56.78384762,\n", - " 101.41579657, 95.45900483, 76.75356315, 81.69319121,\n", - " 111.37580191, 93.92182274, 74.26821783, 99.39260659,\n", - " 132.02470345, 87.90971804, 90.31017732, 80.82942198,\n", - " 70.45189606, 96.61847531, 79.30208294, 100.5528538 ,\n", - " 120.45759513, 93.17801698, 100.40617848, 89.83832352,\n", - " 91.65818316, 89.11301955, 93.16763408, 92.44734032,\n", - " 75.60644877, 100.15866232, 75.14882258, 99.19025764,\n", - " 104.36345645, 93.60591887, 94.86989645, 88.95543574,\n", - " 89.82450136, 68.35637824, 86.24697029, 93.64669636,\n", - " 99.2025264 , 85.30711066, 65.0425356 , 88.93577378,\n", - " 96.15791733, 93.84028002, 95.61450272, 88.7012413 ,\n", - " 96.53973429, 58.88614534, 93.37951392, 82.50614448,\n", - " 104.72928641, 105.22417251, 80.82245074, 120.41655545,\n", - " 66.31340655, 73.31740126, 71.57176554, 109.10711256,\n", - " 93.15823418, 86.63098715, 87.89356287, 80.29950896,\n", - " 32.70203454, 32.29202358, 103.74237166, 94.1189147 ,\n", - " 91.55076419, 99.09977944, 98.68673608, 91.37737463,\n", - " 100.9391804 , 110.74678595, 64.74426298, 96.48540326,\n", - " 96.51872767, 102.37250868, 90.02702669, 102.33038092,\n", - " 99.7851043 , 90.29253957, 94.75819246, 96.2432725 ,\n", - " 101.50228452, 85.65566724, 84.13708462, 90.76921175,\n", - " 84.34199857, 87.12898416, 71.02801254, 91.70849653,\n", - " 91.81263737, 91.4889296 , 100.26031778, 104.69065097,\n", - " 36.75040956, 73.56027199, 79.88616573, 32.09916056,\n", - " 38.9170397 , 60.8870103 , 91.38712452, 46.543735 ,\n", - " 76.66336228, 76.66266166, 102.35939788, 88.91046951,\n", - " 87.02405819, 96.09467024, 95.49745285, 70.30454942,\n", - " 64.85802071, 99.46326756, 99.206884 , 82.76194895,\n", - " 42.1131479 , 98.58603856, 98.92619277, 83.38217417,\n", - " 106.47499066, 87.31278834, 97.82339465, 80.26668459,\n", - " 104.37370474, 65.5349931 , 51.45132859, 84.99915821,\n", - " 68.22351595, 95.34088294, 93.06416269, 44.40198403,\n", - " 100.19053229, 76.52508876, 77.22658253, 99.42969316,\n", - " 87.91609011, 94.52435294, 91.10700689, 52.32758809,\n", - " 64.92901688, 92.7684137 , 34.04384466, 62.92680785,\n", - " 43.03609639, 90.63298958, 68.54190307, 91.10109678,\n", - " 105.06317507, 80.09170957, 71.80095768, 58.79073955,\n", - " 90.30735819, 70.00752354, 84.22456111, 29.52437487,\n", - " 99.35878188, 67.84787498, 88.23356936, 92.91922558,\n", - " 102.325408 , 101.29272405, 90.89006241, 73.20029907,\n", - " 96.54185255, 93.33631103, 99.2213664 , 47.76062514,\n", - " 108.46403933, 80.12811068, 87.81986151, 88.06733482,\n", - " 73.27950771, 98.752945 , 84.21079802, 93.19754311,\n", - " 55.96119813, 101.98479737, 113.64367662, 90.96893898,\n", - " 72.03234692, 84.13193009, 99.90976415, 96.12805242,\n", - " 50.13300889, 66.3401377 , 71.87530904, 82.21679596,\n", - " 92.08631408, 66.68622042, 97.89046042, 91.45424117,\n", - " 60.90185405, 82.98972511, 79.95147507, 91.29404105,\n", - " 105.47067144, 88.50503172, 62.57741233, 87.7638277 ,\n", - " 100.46817117, 45.82964034, 36.72406214, 89.3995783 ,\n", - " 88.39043583, 88.20380293, 69.87481997, 101.91652407,\n", - " 66.29877688, 85.56921119, 90.09762035, 88.7846744 ,\n", - " 103.02869823, 71.50207487, 90.2810836 , 45.66988702,\n", - " 67.67945209, 81.71711088, 65.93644141, 99.13563444,\n", - " 56.31665567, 63.37215929, 83.55519813, 45.82698878,\n", - " 96.70554456, 105.57635122, 97.20422467, 97.23640317,\n", - " 95.25240847, 102.33252707, 37.11058587, 105.90129474,\n", - " 81.85354348, 80.02952611, 101.70579184, 83.97393922,\n", - " 83.83742941, 89.12331125, 85.87282909, 83.58912155,\n", - " 73.34472528, 90.12030403, 81.63624628, 53.12396659,\n", - " 117.8534099 , 44.83692022, 96.10540964, 122.97154226,\n", - " 81.9059639 , 77.36662519, 96.53973341, 98.03662714,\n", - " 52.86458806, 52.51623775, 87.27180359, 52.21980228,\n", - " 93.94613737, 59.64658488, 89.05379969, 88.40074168,\n", - " 95.4328689 , 104.72240783, 97.9684046 , 104.52280737,\n", - " 73.33138027, 86.10873359, 87.46931801, 95.34319974,\n", - " 89.00020231, 82.33109533, 105.65229694, 90.19906316,\n", - " 82.56437123, 89.38100565, 89.08418425, 89.74593515,\n", - " 90.08474686, 97.08710656, 86.15348778, 86.1864138 ,\n", - " 104.05569728, 91.80689626, 94.06806909, 100.66169611,\n", - " 76.03377014, 130.70788769, 92.52053734, 78.64287748,\n", - " 71.20765462, 84.94494291, 72.77685877, 45.00664226,\n", - " 99.3025962 , 126.03071195, 84.43207526, 94.63440184,\n", - " 74.00394172, 88.57202356, 90.05592922, 91.64555033,\n", - " 97.2397694 , 50.84433694, 93.62400432, 99.9392087 ,\n", - " 63.37128501, 90.01595382, 88.82595168, 90.6425016 ,\n", - " -1.6634491 , 53.88642851, 48.58279532, 80.81365476,\n", - " 76.66153213, -0.43079729, -0.79473601, 105.30479499,\n", - " 52.67937514, 42.21647695, 77.33390574, 1.3462103 ,\n", - " 28.4315138 , 111.19858027, 61.72686848, 39.99 ,\n", - " 130.05867023, 127.96721481, 1.72776122, 127.87159199,\n", - " 131.3941692 , 38.21677343, 151.02758499, 101.12892089,\n", - " 100.7258142 , -0.45806217, 168.96722098, 5.7842685 ,\n", - " 42.44106713, 153.46094245, 120.68379477, 85.15682485,\n", - " 61.72686851, 72.84249326, 130.05866983, 127.96721504,\n", - " 0. , 0. , 56.66516568, 75.9249814 ,\n", - " 46.194113 , 64.28529793, 30.86601006, 42.31905477,\n", - " 26.77547469, 34.99550207, 55.97610924, 50.66602707,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 56.12012805, 36.4787036 , 77.36722415, 50.89278 ,\n", - " 98.71039516, 98.6796745 , 99.63012008, 97.35938327,\n", - " 79.11594875, 46.97985524, 97.11695902, 98.45460401,\n", - " 52.89775964, 91.94954629, 91.77306439, 93.27332187,\n", - " 56.52415379, 66.65736536, 78.72139515, 89.801769 ,\n", - " 94.27556868, 93.29150794, 89.49411727, 95.53451268,\n", - " 98.98700158, 97.66945036, 89.35332321, 85.43916644,\n", - " 58.77557436, 142.68661044, 73.4890259 , 88.12345658,\n", - " 92.37785819, 55.94835021, 87.63738252, 62.09117014,\n", - " 81.8200352 , 72.26110555, 38.49182669, 52.98698804,\n", - " 80.59747271, 82.94506487, 86.58389218, 77.86388662,\n", - " 99.53992108, 65.30185194, 101.77354275, 70.8819145 ,\n", - " 99.5683042 , 44.4175507 , 97.66700804, 96.7572405 ,\n", - " 93.33165576, 99.385468 , 58.71458632, 91.16374368,\n", - " 90.97123144, 98.61295796, 93.39789622, 45.10566944,\n", - " 82.6972528 , 71.37398571, 90.82216528, 90.71936246,\n", - " 74.04375967, 80.47395183, 84.02014294, 81.4743038 ,\n", - " 85.4995439 , 362.90609697, 72.9939271 , 80.83008156,\n", - " 96.01917989, 96.55122898, 83.97130897, 91.81503867,\n", - " 43.5440339 , 98.22547965, 94.94027066, 90.05085889,\n", - " 42.65489421, 83.71074863, 71.72506633, 98.48652616,\n", - " 93.38501 , 93.26667906, 86.76690803, 98.49809969,\n", - " 98.59543129, 43.5714706 , 38.05301499, 95.8561204 ,\n", - " 71.64512909, 69.74473933, 82.21407896, 68.33530602,\n", - " 98.89154653, 98.90125245, 56.07853295, 91.21237483,\n", - " 62.87553682, 85.22337469, 56.63869137, 69.90137007,\n", - " 89.45248406, 88.99941191, 91.05441078, 100.79523189,\n", - " 96.09650547, 92.86503541, 101.74493762, 97.4562505 ,\n", - " 103.93780074, 44.8900277 , 33.98843651, 103.53796588,\n", - " 104.76882823, 112.4851023 , 105.54425365, 110.67023419,\n", - " 73.63702902, 40.4511003 , 41.81064586, 47.6834146 ,\n", - " 51.05965412, 141.89145614, 69.30427921, 68.8247796 ,\n", - " 64.60203184, 60.18868074, 87.92173644, 80.43727832,\n", - " 101.20898844, 100.92053173, 95.49031304, 97.785231 ,\n", - " 70.9436492 , 91.57043579, 98.01283291, 98.0116888 ,\n", - " 87.34097235, 85.1524974 , 95.40423524, 100.31158875,\n", - " 98.24054735, 96.98005119, 96.84385128, 55.14968749,\n", - " 91.32895914, 110.34191892, 97.6226263 , 68.50330135,\n", - " 99.95496471, 37.19451213, 73.27382232, 97.2210211 ,\n", - " 91.90232183, 92.59019053, 95.25066272, 43.91174284,\n", - " 44.52376301, 98.47092994, 100.88578851, 96.37121019,\n", - " 101.10325358, 101.09842814, 126.60797631, 108.79607493,\n", - " 91.82599968, 96.70272446, 80.83934615, 86.43063735,\n", - " 92.55600164, 75.26337743, 63.78056199, 98.50072142,\n", - " 99.27152438, 76.14490591, 76.05226842, 91.67545417,\n", - " 99.05241021, 79.81619799, 88.14702299, 92.5419938 ,\n", - " 90.48925371, 52.33594409, 69.88497484, 64.54976905,\n", - " 73.60194117, 61.22345134, 62.80946628, 91.17781434,\n", - " 55.30731568, 100.53904856, 103.87411762, 99.15115108,\n", - " 94.27149945, 98.40032747, 41.40794899, 92.89090827,\n", - " 99.05863222, 35.2867189 , 88.36093456, 87.97893118,\n", - " 129.71418221, 89.42577478, 89.31754109, 76.47919458,\n", - " 86.90685589, 97.71294321, 98.25650325, 58.20822442,\n", - " 56.65398018, 102.58875929, 67.13496046, 45.28070853,\n", - " 98.95669111, 98.95812586, 52.8755412 , 52.44574125,\n", - " 72.70535939, 43.68850253, 76.5582075 , 75.96795106,\n", - " 73.2646657 , 78.41398297, 76.1906964 , 75.59515694,\n", - " 86.67259909, 80.76621336, 95.70803298, 100.05426486,\n", - " 69.60536458, 67.98538023, 94.03113235, 89.33717284,\n", - " 63.01668373, 89.11727351, 93.68120922, 73.57519303,\n", - " 98.82057901, 98.35268 , 86.75031657, 97.91371795,\n", - " 95.31955554, 69.84199242, 49.65658109, 37.87265721,\n", - " 47.86128573, 89.4640482 , 87.92911687, 140.78043958,\n", - " 59.09358757, 78.91422426, 96.3292462 , 99.41785542,\n", - " 90.70485932, 97.47257119, 91.06880638, 63.13940042,\n", - " 64.65231156, 69.14142691, 60.85012062, 78.79667516,\n", - " 90.73763626, 42.29475305, 73.72064115, 84.38466503,\n", - " 98.27514424, 126.48796692, 77.27104634, 82.98301403,\n", - " 93.12988302, 101.55145059, 101.33873644, 84.95519826,\n", - " 89.19318393, 79.92925477, 60.54264029, 57.53370928,\n", - " 64.90407925, 89.22059795, 88.92712861, 98.74572973,\n", - " 103.18556092, 77.90145649, 89.36702358, 77.48501676,\n", - " 64.00708381, 62.22743405, 139.10278327, 106.68394315,\n", - " 56.95272686, 58.89599737, 94.59040976, 82.31355991,\n", - " 70.72900385, 76.70941869, 56.00015843, 48.11378114,\n", - " 97.77396606, 102.45009208, 73.32288402, 97.0694651 ,\n", - " 99.54897435, 101.062357 , 103.89418085, 96.00791454,\n", - " 62.14139642, 95.51179181, 89.73694508, 96.9345865 ,\n", - " 69.1362019 , 68.71537379, 135.04382695, 135.30364008,\n", - " 95.28097677, 58.64655724, 88.17215035, 83.22876648,\n", - " 101.07082267, 89.59324955, 48.91336379, 49.00486146,\n", - " 80.49795594, 93.4761048 , 88.34738279, 97.0803441 ,\n", - " 93.79223142, 94.96932571, 94.97563604, 89.83661107,\n", - " 89.05716096, 89.53114327, 79.87578934, 78.18344935,\n", - " 99.94303483, 96.68114787, 98.66766955, 91.4683792 ,\n", - " 76.16194798, 61.15905342, 95.98630649, 69.79368464,\n", - " 92.48153066, 92.17075396, 95.60787928, 51.42635708,\n", - " 87.5202868 , 63.5535888 , 93.10232524, 97.0639052 ,\n", - " 34.1072325 , 89.67925028, 91.18299314, 93.18924759,\n", - " 99.90507712, 95.4369337 , 97.97308979, 87.37870708,\n", - " 92.65211656, 90.96636804, 97.1211185 , 95.64127398,\n", - " 98.49180034, 101.77956941, 112.11982431, 93.76756202,\n", - " 94.01728542, 97.50790276, 96.76083204, 95.0480836 ,\n", - " 90.1478037 , 96.9150703 , 80.45402351, 91.07287532,\n", - " 93.01880685, 84.4881869 , 55.44463957, 111.61197584,\n", - " 87.56529973, 65.24280864, 80.79165252, 98.50091579,\n", - " 49.01687956, 31.80649525, 39.04647262, 54.78346189,\n", - " 67.32083495, 93.78819342, 101.07250242, 101.59578214,\n", - " 73.44206353, 39.47203269, 59.55468802, 97.03530326,\n", - " 87.89470365, 58.01540997, 97.1701818 , 103.76424724,\n", - " 97.26507976, 95.73154438, 56.02625739, 94.02887976,\n", - " 82.3850674 , 90.98828793, 97.13519392, 99.27528321,\n", - " 84.95058655, 89.69943534, 89.66625254, 43.62038082,\n", - " 58.43090596, 34.53408079, 78.32705538, 71.2869834 ,\n", - " 104.96571984, 103.58269971, 49.72986631, 56.2205217 ,\n", - " 85.59478365, 95.51600328, 89.48622836, 90.49345356,\n", - " 90.50838958, 94.07221911, 87.5241444 , 94.40119249,\n", - " 93.62778789, 60.59084389, 99.41927855, 71.56288641,\n", - " 96.57126563, 42.83758709, 29.00370189, 97.70175009,\n", - " 70.50955324, 72.68156834, 104.18248458, 45.6602788 ,\n", - " 116.88052653, 118.86926765, 89.92367844, 89.33933485,\n", - " 88.48416732, 92.68948999, 83.05175342, 92.98792398,\n", - " 93.04087752, 92.46095582, 87.21770155, 108.99565729,\n", - " 33.39468645, 34.70781977, 63.30690622, 98.43511758,\n", - " 81.4680955 , 35.51090203, 53.59744568, 101.86595475,\n", - " 93.48502085, 98.79638249, 90.72081048, 43.71221742,\n", - " 95.72628572, 86.35239643, 99.2955604 , 86.40020411,\n", - " 97.42963706, 94.39260712, 89.63445829, 97.20066192,\n", - " 46.35221158, 35.8051491 , 97.14188154, 91.28861898,\n", - " 99.3450013 , 121.16347248, 76.01016661, 83.79673958,\n", - " 36.78065127, 23.82369509, 98.6405883 , 102.64354363,\n", - " 96.58773025, 97.074186 , 56.64676457, 38.02344737,\n", - " 88.14397841, 58.1618474 , 58.84501203, 111.06235792,\n", - " 105.4098398 , 103.54483777, 69.34265337, 23.46359965,\n", - " 23.64356605, 91.99994498, 86.93573947, 99.65634646,\n", - " 93.12824686, 42.93711825, 43.19367592, 67.47032244,\n", - " 99.22053854, 97.58334515, 75.82848611, 101.15464747,\n", - " 98.7964474 , 102.18868954, 87.9976759 , 75.81696274,\n", - " 91.63794982, 97.51177347, 97.90442054, 97.48185945,\n", - " 97.05021455, 92.27595507, 78.6354772 , 99.10609863,\n", - " 83.49628269, 98.71613388, 67.64281376, 93.74216176,\n", - " 94.7573307 , 96.70248739, 93.52110758, 98.01922909,\n", - " 104.98336218, 90.99289769, 120.89082781, 115.01280748,\n", - " 100.64260961, 79.62706519, 92.7679827 , 91.83858644,\n", - " 81.69775772, 96.91817428, 97.94033272, 96.69174614,\n", - " 79.04701192, 98.01333352, 94.00557107, 60.93601784,\n", - " 104.66523995, 86.50506683, 89.27099449, 90.78065325,\n", - " 68.32454983, 24.30225035, 103.99108666, 84.53915991,\n", - " 49.76747372, 47.69656337, 78.06391576, 86.91109991,\n", - " 88.07861323, 53.3433009 , 118.31170077, 97.39238782,\n", - " 93.87960715, 81.51266673, 46.47249107, 87.1859669 ,\n", - " 95.96906533, 88.61131021, 72.6987137 , 43.25403775,\n", - " 24.89765798, 89.35689056, 79.47684876, 66.30206677,\n", - " 93.27841085, 92.58736965, 90.99855686, 94.61890205,\n", - " 95.36477222, 100.74050584, 101.33880616, 48.9843735 ,\n", - " 100.58566042, 94.62883856, 72.82859261, 79.46166825,\n", - " 110.85969396, 93.35975927, 70.14003349, 98.53134264,\n", - " 131.97280547, 86.13399329, 88.54475539, 73.42865246,\n", - " 62.87277571, 94.87465718, 75.32091231, 98.80976224,\n", - " 119.97255495, 91.66529373, 99.58215587, 87.98144479,\n", - " 89.80130435, 87.27460493, 91.62586637, 90.90556816,\n", - " 71.47823055, 98.50811553, 71.02060018, 98.39751965,\n", - " 103.91324726, 93.1163631 , 93.04026025, 87.09855801,\n", - " 87.96762266, 58.00519646, 84.01584202, 91.4208721 ,\n", - " 97.52829116, 83.07555312, 62.81097791, 86.70422449,\n", - " 94.35857361, 92.04093578, 88.39394211, 80.79358238,\n", - " 94.02063348, 55.42396882, 91.7179659 , 78.26366462,\n", - " 104.15829758, 97.75046372, 79.96118653, 113.50546217,\n", - " 57.27570134, 71.58576019, 69.84012448, 100.02943484,\n", - " 91.49728224, 83.47302466, 80.35183198, 72.75756834,\n", - " 23.41604786, 23.00258636, 102.88827875, 91.66340633,\n", - " 89.78556577, 97.27066511, 96.92699473, 82.5682408 ,\n", - " 99.69396844, 102.03531158, 60.10565095, 93.95774008,\n", - " 93.99631366, 101.55313978, 88.26147013, 101.06405607,\n", - " 98.04531324, 88.43575842, 93.01629029, 94.24456221,\n", - " 99.75941881, 83.42431292, 81.6767556 , 88.31342637,\n", - " 82.47841976, 85.26540534, 68.65841124, 89.91575491,\n", - " 90.04101033, 89.7508613 , 98.52135577, 104.16659572,\n", - " 27.73234864, 71.68892476, 71.56731402, 22.77651543,\n", - " 28.88453309, 50.77315885, 89.54718505, 36.42915909,\n", - " 72.71748159, 72.71661856, 101.09979967, 87.09098725,\n", - " 85.1845583 , 93.56212404, 92.96490665, 68.56681865,\n", - " 63.12025183, 97.63276618, 97.44149955, 80.53003966,\n", - " 33.51740116, 96.84307162, 98.1307967 , 81.15061634,\n", - " 103.06601545, 85.10772859, 97.00296567, 77.10375181,\n", - " 103.55433628, 64.58662984, 45.19433142, 77.46090184,\n", - " 65.07555841, 93.63753928, 91.37978846, 40.45603688,\n", - " 99.3658685 , 73.36215436, 68.07047477, 98.61004453,\n", - " 86.14525296, 94.00019799, 82.02930899, 51.92219444,\n", - " 63.09811237, 89.66278257, 24.39679507, 55.37374449,\n", - " 35.72750785, 89.77188073, 67.68076888, 88.8896102 ,\n", - " 96.5973122 , 78.30612324, 70.06917053, 51.23744443,\n", - " 88.51844883, 62.08713127, 81.85391689, 19.20767546,\n", - " 97.52975108, 66.11608779, 85.9680494 , 90.52239261,\n", - " 101.50603887, 100.47335491, 89.15202409, 70.03709529,\n", - " 94.0230866 , 91.47943228, 98.43002539, 45.92963787,\n", - " 107.95500593, 75.93271292, 85.96249586, 86.20940025,\n", - " 71.47294058, 97.04825883, 81.03693671, 91.65578806,\n", - " 52.00376832, 101.16378242, 105.2254406 , 89.23265171,\n", - " 70.2014375 , 81.58997515, 98.20513108, 95.58500257,\n", - " 46.50308953, 62.03144467, 68.80834856, 80.37435695,\n", - " 90.23171735, 62.56125211, 97.06317316, 89.71712947,\n", - " 51.77156372, 80.64500198, 72.42544348, 89.56305045,\n", - " 104.56309759, 86.64708183, 60.20279023, 85.94434543,\n", - " 98.62183672, 43.98719942, 27.71942024, 87.54145846,\n", - " 86.60120099, 86.34585337, 68.04390238, 101.46631475,\n", - " 64.36065017, 83.705653 , 88.36090663, 86.57989884,\n", - " 102.20140937, 69.63569476, 88.42296372, 42.03993709,\n", - " 60.12635702, 79.51200139, 62.70845583, 98.25461826,\n", - " 53.91604683, 61.40122238, 81.00812356, 42.04008881,\n", - " 94.96899371, 104.76892064, 95.43657987, 95.62550908,\n", - " 93.04084022, 101.06669974, 28.47031808, 105.46249407,\n", - " 79.30646917, 69.08741761, 101.12244636, 80.91695033,\n", - " 81.37724235, 88.11527265, 83.41186797, 81.12816045,\n", - " 69.21654088, 87.82306475, 79.33900689, 37.09110074,\n", - " 110.43943025, 41.2047224 , 95.51545948, 117.1582681 ,\n", - " 73.16483135, 73.23840277, 94.0206324 , 97.63250028,\n", - " 51.13294392, 36.48311485, 86.33966109, 49.04354491,\n", - " 92.27346219, 57.36062318, 86.72947575, 86.7510776 ,\n", - " 93.59406085, 103.90424505, 89.54609171, 103.73928377,\n", - " 69.20323619, 85.08305126, 85.63039898, 93.17819601,\n", - " 86.79465357, 80.08438049, 102.60015685, 88.54073163,\n", - " 73.32482467, 87.17444217, 87.34573547, 88.0007179 ,\n", - " 87.62935031, 96.64051644, 83.63557164, 83.66849654,\n", - " 103.24113204, 88.76398771, 92.4027027 , 98.81532249,\n", - " 74.4813523 , 130.60458726, 90.06488842, 76.72070665,\n", - " 69.28312063, 82.42148216, 65.22321638, 42.60715692,\n", - " 97.61726974, 125.92741022, 81.97174624, 92.92950115,\n", - " 72.14531601, 86.71520958, 88.19797628, 91.15293613,\n", - " 95.56900927, 49.75212193, 91.80277229, 98.23457649,\n", - " 63.25647208, 87.61438014, 86.95974748, 88.78558477,\n", - " -1.6634491 , 49.18058867, 44.8230962 , 68.22725684,\n", - " 72.7430904 , -0.43089502, -0.79483408, 104.45424889,\n", - " 48.1337695 , 32.47172892, 71.90486243, -5.56704724,\n", - " 27.48515431, 108.14644018, 53.77849077, 39.99 ,\n", - " 124.39084802, 120.98707604, 1.72776122, 120.9481712 ,\n", - " 125.78344605, 27.76589842, 150.12332856, 99.38621007,\n", - " 98.9834455 , -0.45821064, 167.72058407, -3.01576223,\n", - " 37.4072297 , 150.48150298, 120.56474474, 76.06778805,\n", - " 53.7784908 , 72.29446439, 124.39084761, 120.98707627,\n", - " 0. , 0. , 56.67889751, 75.65080113,\n", - " 46.194113 , 64.28529793, 30.29082007, 42.31905477,\n", - " 26.77547469, 34.88423842, 55.58070949, 49.57264132,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 53.55157618, 31.76062259, 75.35451305, 48.87407613,\n", - " 97.20752877, 97.17076551, 98.12143698, 95.86037277,\n", - " 77.58211401, 45.44518379, 95.58044009, 96.91842521,\n", - " 49.23644168, 90.45052759, 90.27074897, 91.77100643,\n", - " 53.73992034, 64.37710781, 77.21204944, 88.29244147,\n", - " 92.77628611, 91.79252516, 87.99181446, 94.825012 ,\n", - " 97.45111126, 96.13548218, 87.85102477, 83.83645928,\n", - " 57.15603865, 141.94789684, 70.42297305, 86.54460295,\n", - " 90.79901433, 54.41387587, 85.92471601, 60.55669654,\n", - " 80.26482895, 70.70580454, 36.95735015, 51.4525127 ,\n", - " 78.69101556, 81.03857753, 84.86598264, 75.97845635,\n", - " 98.03897387, 65.03847865, 101.01899211, 70.80341388,\n", - " 98.06593716, 39.6894549 , 96.16793085, 95.25642125,\n", - " 91.83005804, 97.88443411, 56.80729625, 89.25883456,\n", - " 89.0662006 , 96.99457811, 92.96708003, 43.48624151,\n", - " 81.11467409, 69.55598053, 90.0146012 , 89.90935951,\n", - " 72.50929167, 78.93899027, 83.2862967 , 80.72714515,\n", - " 83.96511828, 361.2045174 , 71.45946952, 79.29560191,\n", - " 95.21641157, 95.74846066, 82.39206607, 91.05995914,\n", - " 42.78889951, 97.46514741, 94.18037199, 89.24266213,\n", - " 41.5758795 , 81.69891751, 69.71319949, 98.40788575,\n", - " 91.81502525, 91.70723741, 85.23248787, 97.73444055,\n", - " 97.83194994, 42.03699285, 36.5185379 , 95.14669758,\n", - " 70.11067028, 68.21027182, 80.21779734, 66.33900524,\n", - " 97.39051248, 97.4002184 , 55.36695281, 90.50088154,\n", - " 59.14910269, 82.51738216, 53.4580797 , 67.19502404,\n", - " 87.9143434 , 87.46114351, 90.24579264, 100.03117238,\n", - " 94.64732208, 91.45235838, 100.97950339, 96.69069841,\n", - " 101.56356529, 41.24695001, 30.34776162, 100.98666821,\n", - " 104.00340226, 112.35899719, 105.418087 , 108.48025679,\n", - " 71.08557435, 37.00986319, 38.36184259, 44.13529808,\n", - " 47.51977555, 141.17608522, 67.59012369, 67.1103535 ,\n", - " 60.90478342, 56.41535755, 86.01727346, 78.53089506,\n", - " 100.44465278, 100.15625612, 94.66886402, 96.97115366,\n", - " 68.40664728, 89.66971809, 96.509447 , 96.50787274,\n", - " 86.50020199, 84.30701889, 94.82253795, 99.53857921,\n", - " 97.47707253, 95.45004059, 95.31490089, 52.61268299,\n", - " 90.62112754, 109.47948765, 96.91404696, 66.79777948,\n", - " 97.48890668, 31.72487681, 69.98929976, 96.45461638,\n", - " 91.13196269, 91.81871171, 93.71661933, 42.3208615 ,\n", - " 42.91792322, 96.9663613 , 100.30587663, 95.78034948,\n", - " 100.32549705, 100.32040547, 125.73715089, 107.92364612,\n", - " 91.05592851, 95.16868034, 79.11922565, 84.71051619,\n", - " 91.78679163, 73.72889951, 62.24606391, 96.99582524,\n", - " 97.76896209, 74.6104458 , 74.51780369, 89.8716925 ,\n", - " 97.51835579, 78.09180016, 86.42417093, 90.96638742,\n", - " 88.91321647, 50.75597942, 67.75016198, 62.41422587,\n", - " 71.77813591, 59.39964744, 61.3027294 , 89.66675508,\n", - " 53.80489258, 99.74612704, 103.09253291, 97.65206093,\n", - " 93.51382099, 97.64264896, 36.72512015, 91.38925608,\n", - " 97.55647395, 29.8194031 , 86.84226117, 86.26441438,\n", - " 129.61259769, 87.88807609, 87.77971389, 74.59394878,\n", - " 85.02200011, 96.21123483, 96.754795 , 54.35782568,\n", - " 52.84875541, 99.93131428, 63.99269679, 41.84972677,\n", - " 97.42008609, 97.42157407, 48.99581852, 48.57352212,\n", - " 70.71314041, 41.69356334, 75.02373429, 73.59169695,\n", - " 71.12973542, 76.18494871, 74.65621922, 74.06067912,\n", - " 85.13819856, 79.04180864, 95.01205796, 99.35118897,\n", - " 66.91879025, 65.30222053, 92.31523179, 87.83811035,\n", - " 60.96466347, 87.61936062, 92.14479608, 70.31543593,\n", - " 97.31530045, 96.86238239, 85.25978848, 96.41476125,\n", - " 93.82527742, 67.14952036, 47.63785365, 35.8200744 ,\n", - " 45.84255332, 87.98377607, 86.43947765, 140.04172372,\n", - " 55.76552337, 76.92725258, 94.82590251, 97.91344215,\n", - " 89.21261559, 95.93868988, 89.57661863, 61.51428091,\n", - " 63.02716342, 66.07202621, 57.78037685, 77.25708542,\n", - " 89.20170106, 40.27356559, 73.00966863, 83.67364228,\n", - " 96.76860995, 125.74962466, 75.76867418, 81.48064374,\n", - " 91.55424678, 100.73882251, 100.526096 , 83.30178293,\n", - " 87.65532994, 78.20293905, 56.84327582, 53.82556439,\n", - " 63.08027559, 87.52045709, 87.22701703, 97.98265887,\n", - " 102.41664362, 76.41103552, 87.82890519, 75.99441445,\n", - " 62.47261224, 60.69296248, 138.34747764, 105.89177572,\n", - " 55.45035383, 57.3936247 , 91.55284612, 79.25225489,\n", - " 69.07552866, 73.29977565, 54.34569967, 45.51627102,\n", - " 97.01693683, 101.69306262, 71.09535693, 95.57916765,\n", - " 98.05867892, 100.48273899, 103.30963951, 94.50509227,\n", - " 58.42272416, 94.00904384, 88.22762984, 95.43274433,\n", - " 67.63379719, 67.21296869, 134.87013005, 135.12865954,\n", - " 93.77836116, 56.99308171, 86.58955694, 81.72639534,\n", - " 100.29127751, 88.05498114, 46.51565897, 46.65618519,\n", - " 78.59151619, 92.67689876, 86.8091164 , 96.20522285,\n", - " 92.28946532, 93.46632802, 93.472658 , 87.15980322,\n", - " 87.5548466 , 88.02881586, 78.34131012, 76.64897012,\n", - " 97.47480852, 94.2128066 , 97.1632581 , 89.93008303,\n", - " 73.01617895, 58.01190245, 93.29718184, 67.10250572,\n", - " 90.98213556, 90.67157266, 94.10550174, 47.65119851,\n", - " 86.76513969, 62.79844123, 91.47956916, 95.56945091,\n", - " 30.3017076 , 88.18149285, 89.68759082, 91.68763356,\n", - " 97.27196828, 92.85810318, 96.47136664, 85.87637472,\n", - " 91.15259126, 89.46760465, 95.62200219, 94.13856182,\n", - " 96.98955201, 98.84079631, 109.17623499, 92.04699792,\n", - " 92.30038917, 95.99711545, 95.25011431, 93.54536668,\n", - " 88.64933791, 95.38070624, 78.63022097, 90.31775716,\n", - " 91.48453942, 82.95372671, 52.17070343, 108.33761197,\n", - " 85.98975962, 61.54532433, 78.78050586, 97.0018849 ,\n", - " 45.42999271, 28.18513814, 38.29132422, 51.20003287,\n", - " 64.05200229, 90.55013759, 100.30427236, 100.82729942,\n", - " 71.1472387 , 37.44139759, 57.25481952, 95.50126747,\n", - " 86.36066514, 56.29021288, 95.44030361, 103.00721775,\n", - " 95.72852588, 94.1949905 , 54.49114169, 92.31241598,\n", - " 80.76579066, 89.61831713, 95.64099105, 97.76692235,\n", - " 82.96506942, 88.19985574, 88.16667685, 39.76387523,\n", - " 56.89640765, 29.065881 , 76.67359965, 69.66294551,\n", - " 104.25068985, 102.83643514, 47.7544861 , 54.29198842,\n", - " 84.05532472, 94.00722072, 87.90835095, 88.99382159,\n", - " 89.00879729, 92.53580488, 86.02183257, 92.89903072,\n", - " 92.12603952, 56.87151986, 98.66463863, 70.80824584,\n", - " 95.06086341, 39.19450782, 25.57153742, 96.19875115,\n", - " 68.37502346, 71.17924475, 103.61969149, 43.42388291,\n", - " 116.76704324, 118.75762101, 89.0774726 , 87.80719025,\n", - " 86.95236136, 90.97307162, 81.42103045, 91.27150434,\n", - " 91.46194168, 90.88201797, 85.72037013, 108.2403486 ,\n", - " 31.31214089, 32.62419503, 61.01541872, 96.93339443,\n", - " 79.83732531, 33.49075065, 51.94662475, 101.05379349,\n", - " 91.76441721, 98.03391104, 90.16563603, 43.15704264,\n", - " 94.21703279, 84.84080258, 97.79246807, 84.88194608,\n", - " 96.65117065, 92.89005185, 88.13216032, 95.66411017,\n", - " 42.711792 , 32.17332189, 95.64334026, 89.79344016,\n", - " 97.84235191, 119.86683963, 73.96752477, 81.75409766,\n", - " 33.50840442, 20.5503067 , 97.13617685, 101.87973023,\n", - " 95.07909787, 95.56555784, 53.05689898, 33.30250267,\n", - " 86.65354906, 54.57346326, 55.25633766, 110.20005441,\n", - " 104.87279497, 103.00654593, 67.27409803, 19.83324954,\n", - " 20.00880303, 90.49092279, 85.39744467, 98.14875281,\n", - " 91.55258004, 41.4026404 , 41.65919813, 65.93585098,\n", - " 97.71822457, 96.0809046 , 75.11588129, 100.52669644,\n", - " 97.29368031, 101.56073933, 87.36982815, 74.28248489,\n", - " 90.10802461, 95.97616424, 96.3687508 , 95.96441169,\n", - " 95.52176037, 91.4632831 , 75.39587289, 97.60345808,\n", - " 81.95651192, 97.18982778, 65.82479283, 92.23119139,\n", - " 93.23900377, 95.96431096, 91.98713928, 96.52518126,\n", - " 104.43371623, 89.49394619, 118.32684746, 114.8866836 ,\n", - " 97.99488819, 76.97163111, 92.2080941 , 91.27951765,\n", - " 79.99625365, 95.41498597, 96.43698615, 95.18854158,\n", - " 75.65265721, 96.5100115 , 92.28823838, 59.11799662,\n", - " 101.69529872, 84.96381318, 87.7732383 , 89.19768191,\n", - " 65.2440179 , 20.65299192, 103.01474586, 82.52891082,\n", - " 45.98668397, 44.22778881, 76.17866351, 85.40876491,\n", - " 86.57627764, 49.54572631, 116.82736937, 95.89333475,\n", - " 92.35041212, 79.50173053, 44.93102975, 85.30005673,\n", - " 94.45955696, 87.10090393, 70.65125722, 39.6046977 ,\n", - " 21.23894691, 87.85457726, 78.66312121, 63.35218955,\n", - " 91.69369023, 91.00948229, 89.28213721, 93.85466523,\n", - " 94.60010934, 99.98347632, 100.58177661, 45.84240463,\n", - " 99.82911221, 93.87228151, 70.84147527, 77.87690835,\n", - " 110.62445095, 93.11104837, 68.00449036, 97.7761784 ,\n", - " 131.87533619, 84.62097779, 87.0352412 , 70.32075839,\n", - " 59.71261349, 93.3733541 , 73.26659785, 97.3086721 ,\n", - " 119.74641679, 90.17768278, 98.81210835, 86.44314645,\n", - " 88.26300598, 85.7423179 , 90.13551593, 89.41521642,\n", - " 69.34267751, 97.00847531, 68.8850459 , 97.63445459,\n", - " 103.37250275, 92.56119909, 91.50607531, 85.56025996,\n", - " 86.42932432, 54.11447515, 82.4311978 , 89.83778227,\n", - " 96.02696645, 81.49078309, 61.22620784, 85.11945688,\n", - " 92.83791772, 90.52027973, 85.42163174, 77.65145791,\n", - " 92.30386182, 53.49543458, 90.21832853, 76.12441218,\n", - " 103.53034734, 95.56019122, 79.20602222, 111.48007184,\n", - " 53.88110166, 70.08338803, 68.33775231, 97.36909733,\n", - " 89.99770109, 81.56751383, 77.28539827, 69.69107317,\n", - " 19.78245384, 19.36798112, 102.13521609, 89.96326507,\n", - " 88.27604853, 95.73660792, 96.05890146, 79.24062692,\n", - " 98.92023751, 99.48229496, 57.84217875, 92.2386282 ,\n", - " 92.2786363 , 100.78465661, 86.7519151 , 100.28413771,\n", - " 96.54184824, 86.89748868, 91.5146744 , 92.66602801,\n", - " 98.25929487, 81.83960245, 79.97534376, 86.6132121 ,\n", - " 80.93864613, 83.72563171, 67.03318559, 88.39751157,\n", - " 88.52924976, 88.2485514 , 97.01790941, 103.60420961,\n", - " 24.17964948, 70.1464254 , 68.3046839 , 19.13217815,\n", - " 25.10347787, 46.94353688, 88.01089913, 32.59932481,\n", - " 70.72423625, 70.72332561, 100.32185265, 85.564543 ,\n", - " 83.65195629, 91.84167969, 91.2444623 , 67.06449307,\n", - " 61.61791509, 96.09841388, 95.93136083, 78.94516655,\n", - " 30.0761527 , 95.34192113, 97.36717909, 79.56584623,\n", - " 102.06696868, 83.53073444, 96.23409767, 75.19678438,\n", - " 102.78585327, 63.87597736, 42.41008471, 74.3954864 ,\n", - " 63.19030047, 92.13601498, 89.87950434, 38.46277205,\n", - " 98.59563307, 71.45518645, 65.38715226, 97.85236601,\n", - " 84.63373521, 93.43778267, 79.36896556, 51.3933287 ,\n", - " 61.56363632, 87.78929836, 20.65738663, 52.30398965,\n", - " 32.64561544, 89.01676195, 66.92564267, 87.31069623,\n", - " 93.26005301, 77.43045574, 68.56675555, 48.16762167,\n", - " 87.00138983, 58.94127513, 80.22838561, 15.32525592,\n", - " 95.99571446, 64.6136728 , 84.37332622, 88.99529101,\n", - " 100.73755564, 99.70487167, 87.64972802, 68.13004843,\n", - " 92.3064065 , 89.94113393, 97.66739507, 44.39513719,\n", - " 107.72183621, 73.95721534, 84.42405482, 84.67079248,\n", - " 70.59112437, 95.54573853, 79.3385498 , 90.16544134,\n", - " 50.09801043, 100.39481686, 102.75836148, 87.73032894,\n", - " 68.66695965, 79.86695312, 96.70246335, 95.34186388,\n", - " 44.52766676, 59.79923675, 66.99031814, 78.84092364,\n", - " 88.69386336, 60.60639483, 96.29169343, 88.21481332,\n", - " 48.18410289, 79.02706721, 69.36361068, 88.06075248,\n", - " 104.12593103, 85.10846957, 58.57609318, 84.41790118,\n", - " 97.08527027, 42.45376556, 24.17065371, 86.00291827,\n", - " 85.08404245, 84.8072412 , 66.5094225 , 100.9255702 ,\n", - " 62.96797871, 82.16588222, 86.85858722, 85.00298651,\n", - " 101.42992917, 68.09526829, 86.88442352, 40.06450536,\n", - " 57.05659289, 77.93499267, 60.99420707, 97.45184996,\n", - " 52.281734 , 59.83266826, 79.28371877, 39.99263196,\n", - " 93.46601525, 104.0034885 , 93.9269365 , 94.13010552,\n", - " 91.46190232, 100.28692718, 25.01790772, 104.92547664,\n", - " 77.58206446, 65.05600623, 100.54268444, 79.05640699,\n", - " 79.67586851, 87.38142466, 81.71028838, 79.42658087,\n", - " 67.08099774, 86.16507447, 77.68101659, 31.62293128,\n", - " 108.26666219, 39.2286319 , 94.93376197, 114.59371751,\n", - " 70.603123 , 71.10284849, 92.30386068, 97.10677222,\n", - " 49.63057085, 31.01487006, 85.63005786, 47.3444558 ,\n", - " 90.77313819, 55.70678995, 85.06427232, 85.25297391,\n", - " 92.06068714, 103.15866115, 87.07781781, 102.98241935,\n", - " 67.06770487, 84.34403253, 84.09795966, 91.55543992,\n", - " 85.21751612, 78.49517875, 100.95970624, 87.04209859,\n", - " 70.61704928, 85.59700386, 85.84259467, 86.49622743,\n", - " 85.92923865, 96.10121434, 81.91915172, 81.9520763 ,\n", - " 102.47158745, 86.90719146, 90.90270571, 97.27874542,\n", - " 72.9878807 , 130.49205379, 88.36470279, 75.15948336,\n", - " 67.72120478, 80.7035726 , 62.15329185, 41.079278 ,\n", - " 96.1148827 , 125.81487637, 80.2703344 , 91.51682361,\n", - " 70.60650569, 85.17693021, 86.65936312, 90.59687485,\n", - " 94.0681806 , 48.99931172, 90.27547126, 96.73190701,\n", - " 62.99297628, 85.97978456, 85.41875536, 87.24731443,\n", - " -1.6634491 , 46.89726391, 42.8114257 , 63.76031138,\n", - " 70.75905246, -0.43098316, -0.79492248, 103.67422011,\n", - " 45.91581427, 28.73896525, 69.36993902, -8.44483488,\n", - " 26.77555611, 106.50598957, 50.59288767, 39.99 ,\n", - " 121.86695324, 118.06760428, 1.72776122, 118.04544841,\n", - " 123.27550003, 23.84710625, 149.68713421, 97.88551775,\n", - " 97.4837696 , -0.45834986, 166.98497144, -6.511985 ,\n", - " 34.98007158, 148.85741957, 120.29901957, 72.65814501,\n", - " 50.59288771, 71.90406301, 121.86695283, 118.06760451,\n", - " 0. , 0. , 56.60720872, 75.25637725,\n", - " 46.194113 , 64.28529793, 29.31048537, 42.31905477,\n", - " 26.77547469, 34.62218581, 55.05782026, 48.12271591,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 43.81814383, 5.66794509, 70.08293814, 43.60250122,\n", - " 95.20546327, 95.13630392, 96.08811266, 93.9630657 ,\n", - " 75.40829969, 43.26615489, 93.40037002, 94.74187466,\n", - " -7.91750281, 88.5414528 , 88.27498301, 89.77524047,\n", - " 44.69706722, 58.28927898, 75.17540668, 86.25579871,\n", - " 90.87774754, 89.89679534, 85.99541137, 94.22206113,\n", - " 95.27927595, 93.97933276, 85.85440562, 81.8602004 ,\n", - " 55.17977978, 141.56801782, 66.60140824, 84.56845266,\n", - " 88.82286963, 52.25535236, 82.54535843, 58.39817252,\n", - " 78.1063099 , 68.54728549, 34.79882844, 49.29398993,\n", - " 74.69227495, 77.03983692, 81.44985482, 71.35784871,\n", - " 96.03948086, 64.77434198, 100.26714009, 70.7075941 ,\n", - " 96.06141001, 13.5967774 , 94.26341235, 93.32847606,\n", - " 89.83041337, 95.88492236, 52.80855564, 85.26009394,\n", - " 85.06745999, -126.36252817, 92.60479953, -179.87086477,\n", - " 79.12771204, 67.2006486 , 89.52415788, 89.41891619,\n", - " 70.35076446, 76.78046306, 82.68036321, 80.12121166,\n", - " 81.80656229, 357.90666462, 69.3009393 , 77.13708286,\n", - " 94.33700479, 94.86905388, 80.41580717, 90.30810712,\n", - " 42.03704749, 96.65093113, 93.37110461, 88.75221881,\n", - " -200.70569854, -135.76554742, -147.75126544, 98.31206597,\n", - " 89.84357556, 89.74170178, 83.07392762, 96.90612745,\n", - " 97.00466019, 39.87847294, 34.36001683, 94.54357439,\n", - " 67.95214042, 66.05174461, -137.527098 , -151.4058901 ,\n", - " 95.39100073, 95.40070665, 54.73782179, 89.87175052,\n", - " -130.6818955 , 82.51738216, 49.63651912, 67.19502404,\n", - " 85.7204368 , 85.26643293, 89.75534932, 99.20087864,\n", - " 92.7533343 , 89.6161404 , 100.14361365, 95.85480867,\n", - " 101.56356529, 24.50674881, 13.60756042, 100.98666821,\n", - " 103.16751252, 112.23177849, 105.2908683 , 108.48025679,\n", - " 71.08557435, 20.37841697, 21.72312257, 27.38055589,\n", - " 30.76503336, 140.7962062 , -164.47797161, -164.9577418 ,\n", - " 42.3168365 , 36.1879286 , 82.01853285, 74.53215445,\n", - " 99.61305888, 99.32491017, 94.17842071, 96.48071034,\n", - " 58.907888 , 85.67097748, 94.50510036, 94.50204963,\n", - " 86.26963504, 84.07645194, 94.33209463, 99.0481359 ,\n", - " 96.64994749, 93.3028408 , 93.17239795, 43.11392371,\n", - " 90.01519405, 109.28233322, 96.30943407, 63.47210233,\n", - " 97.48890668, 5.63219931, -172.29227828, 95.61872664,\n", - " 90.29137504, 90.97756668, 91.5604699 , 39.76952931,\n", - " 40.26655384, 94.95705624, 99.81543331, 95.28990617,\n", - " 99.83505373, 99.82996216, 125.53569237, 107.71061789,\n", - " 90.21549439, 93.01253091, 75.69051268, 81.28180323,\n", - " 90.94694285, 71.57038024, 60.08754464, 94.98101922,\n", - " 95.7653561 , 72.45192825, 72.3592857 , 86.36346456,\n", - " 95.36220637, 74.63284798, 82.97606591, 88.99088011,\n", - " 86.93712852, 48.27760616, 58.73292394, 53.39698783,\n", - " 67.60722152, 55.22873305, 59.31286991, 87.62156243,\n", - " 51.8150331 , 98.8820938 , 102.24619624, 95.75475386,\n", - " 92.7280033 , 96.85683127, 10.63243956, 89.38961729,\n", - " 95.55410326, 3.7267256 , 84.75574818, 82.87227545,\n", - " 129.48091667, 85.69807182, 85.58868552, 69.97554703,\n", - " 80.40735484, 94.20999283, 94.75357424, 31.67290951,\n", - " 31.74521016, 96.1097479 , 52.70909155, 30.56612153,\n", - " 95.23945975, 95.24129525, 24.54797925, 24.41129413,\n", - " 65.9941499 , 36.97457283, 72.86521548, 73.59169695,\n", - " 62.11249738, 71.33738256, 72.49770002, 71.90215982,\n", - " 82.97961992, 75.58285647, 94.39681035, 98.72205796,\n", - " 66.91879025, 65.30222053, 88.91393332, 85.91828513,\n", - " 55.95574678, 85.72173252, 89.96493503, -171.96614211,\n", - " 95.29872075, 95.07952021, 83.47692629, 94.51702409,\n", - " 91.99120043, 67.14952036, 42.36627873, 30.81115771,\n", - " 40.5709784 , 86.31937861, 84.65339159, 139.6618447 ,\n", - " -136.57441107, 71.58786729, 92.82400838, 95.9090955 ,\n", - " 87.41575019, 93.7832022 , 87.77975323, 59.53802203,\n", - " 61.05090454, 62.2504614 , 53.95881205, 75.05097475,\n", - " 87.01999896, 35.00199067, 72.41071017, 83.07406043,\n", - " 94.80180855, 125.36974564, 73.7788147 , 79.49078425,\n", - " 89.57885241, 100.24837919, 100.03565268, 80.33171874,\n", - " 85.46406187, 74.73015143, 38.2553289 , 35.23761748,\n", - " 58.9093612 , 84.23357635, 83.94035418, 97.15773694,\n", - " 101.59172169, 74.62817334, 85.63520685, 74.21155226,\n", - " 60.31408684, 58.53443708, 138.03841489, 105.73870646,\n", - " 53.46049434, 55.40376522, 87.73128132, 75.43069008,\n", - " 66.10546446, -116.53122254, 51.37563548, 35.5650543 ,\n", - " 96.23705095, 100.91317674, 65.30571899, 93.79630547,\n", - " 96.27581674, 99.99229567, 102.8191962 , 92.50506815,\n", - " -131.40827403, 92.009856 , 86.1910434 , 93.43113863,\n", - " 65.64393771, 65.22310921, 134.66025491, 134.91627653,\n", - " 91.78192284, 54.02301752, 84.61329807, 79.73653586,\n", - " 99.80083419, 85.86027057, 38.00455452, 38.52144804,\n", - " 74.59277558, 92.18645545, 84.6149775 , 95.98653831,\n", - " 90.29414782, 91.46882023, 91.47517778, 87.15980322,\n", - " 85.56498711, 86.03466796, 76.18279102, 74.49045102,\n", - " 97.47480852, 94.2128066 , 95.15500127, 87.73594412,\n", - " -169.26539909, -184.26967559, 93.29718184, 67.10250572,\n", - " 89.0690546 , 88.76076985, 92.14046471, 27.42376955,\n", - " 86.01328767, 62.04658921, 88.72062931, 93.73296348,\n", - " 9.19816235, 86.28717535, 87.82673529, 89.68798989,\n", - " 97.27196828, 92.85810318, 94.53306547, 83.88651524,\n", - " 89.23811733, 87.561236 , 93.71627216, 92.13971644,\n", - " 94.99155771, 95.0192315 , 105.35467018, 88.6145832 ,\n", - " 88.8925607 , 93.95344751, 93.20682577, 91.54649714,\n", - " 86.74642304, 93.22209386, 74.45930658, 89.56590514,\n", - " 89.32717333, 80.79521209, 48.34914276, 104.5160513 ,\n", - " 84.01347698, 42.95737742, 73.50124946, 95.09867926,\n", - " 28.68979151, 11.44493694, 37.5394722 , 34.52782285,\n", - " 51.47642643, 86.72857692, 99.46513538, 99.98754091,\n", - " 66.29967255, 32.1621412 , 52.40725337, 93.34511804,\n", - " 84.20451571, -175.77788242, -136.62779169, 102.22733188,\n", - " 93.5482334 , 92.01469802, 52.31732736, 88.90743097,\n", - " 78.78953179, -152.6632609 , 93.8079165 , 95.73519521,\n", - " 77.61867779, 86.27032645, 86.23717853, 17.07895907,\n", - " 54.73788838, 2.9732035 , 73.70353545, 67.68668663,\n", - " 103.5011938 , 102.04233221, 45.14099819, 51.75693975,\n", - " 81.85060856, 91.97344424, 85.93230182, 87.06386794,\n", - " 87.07916626, 90.35594496, 84.02565265, 90.92344731,\n", - " 90.16247718, -132.95947833, 97.91278661, 70.05639382,\n", - " 93.01929544, 22.45430662, 8.94847168, 94.19697599,\n", - " 59.35778542, 69.18300196, 103.12924817, 30.20078299,\n", - " 116.63982454, 118.63040231, 88.84690565, 85.643644 ,\n", - " 84.79107561, 87.56754497, 79.44477161, 87.86597768,\n", - " 89.48579372, 88.90587002, 83.83070044, 107.93128585,\n", - " 24.13340146, 25.44545559, 54.92758989, 94.99509326,\n", - " 77.86106647, 28.21917573, 49.97036588, 100.56335017,\n", - " 88.33173504, 97.21148073, 89.6651818 , 42.65658841,\n", - " 92.18097481, 82.79254052, 95.78857313, 82.79771433,\n", - " 95.80646687, 90.89509242, 86.1427054 , 93.48383147,\n", - " 25.9715908 , 15.4331207 , 93.74528557, 87.93571785,\n", - " 95.83899693, -112.20125567, 68.74539583, 76.53196872,\n", - " 20.93282857, 7.97473085, 95.12792002, 101.05141713,\n", - " 93.05045249, 93.53691246, 36.20231557, 7.20982517,\n", - " 84.85718886, 37.77823339, 38.46110779, 110.00295827,\n", - " 104.38375417, 102.51750513, 60.09535859, 3.09304834,\n", - " 3.26860183, 88.45547862, 83.20330576, 96.12010744,\n", - " 89.57715773, 39.24412078, 39.5006783 , 63.77732557,\n", - " 95.72020065, 94.08282235, 74.48675027, 99.89885246,\n", - " 95.29302243, 100.93289535, 86.74198418, 72.12396564,\n", - " 87.95851701, 93.80485244, 94.19720569, 93.88437346,\n", - " 93.38144895, 90.97283978, 71.57431223, 95.60432249,\n", - " 79.7491539 , -145.09175025, 63.4694609 , 90.18652235,\n", - " 91.15411977, 95.35837747, 89.8184894 , 94.69400141,\n", - " 103.93869116, 87.58476916, 114.6834228 , 114.7594649 ,\n", - " 97.99488819, 76.97163111, 91.70415188, 90.77627837,\n", - " 76.69893954, 93.41313623, 94.43277211, 93.18668561,\n", - " -115.11012746, 94.50583581, 88.87752972, 56.76266469,\n", - " 97.87373391, 82.76915409, 85.87859951, 87.22142305,\n", - " 54.37307576, 3.9807819 , 103.01474586, 77.24965442,\n", - " 14.80602353, 27.56735387, 71.56026176, 83.41241212,\n", - " 84.57993424, 20.18625409, -106.52973664, 93.98894759,\n", - " 90.20541788, 74.22247414, 42.70964057, 80.67791771,\n", - " 92.4222373 , 85.05900548, 63.94642145, 22.8644965 ,\n", - " 4.49874572, 85.85868674, 78.17267789, 59.53062475,\n", - " 89.71743139, 89.03344024, 85.87661056, 93.02754019,\n", - " 93.7729843 , 99.20359044, 99.80189074, 42.02083982,\n", - " 99.05298517, 93.09615447, 66.13581845, 75.90064951,\n", - " 110.41457581, 92.90117323, 58.98725233, 97.02432638,\n", - " 131.74811749, 82.56517417, 84.99779362, 59.27231899,\n", - " 48.6641741 , 91.37384235, 68.2794776 , 95.30916035,\n", - " 119.53654165, 88.42684539, 97.97202821, 84.24900754,\n", - " 86.06886708, 83.57794594, 88.35265375, 87.63235424,\n", - " 60.32543947, 95.1016543 , 59.86780787, 96.8094486 ,\n", - " 102.88205944, 92.06074843, 89.34903545, 83.36612105,\n", - " 84.23518542, 29.17822951, 80.45493896, 87.8615234 ,\n", - " 94.09354766, 79.51452425, 59.249949 , 83.14319804,\n", - " 90.74021931, 88.42258132, 81.60006693, -164.63012012,\n", - " 88.89685879, 50.96038591, 88.30072922, 71.13865218,\n", - " 102.90250336, 95.56019122, 78.4541702 , 111.48007184,\n", - " -136.88168301, 68.09352854, 66.34789283, 97.36909733,\n", - " 88.08079447, 77.56877322, 73.46383346, 65.86950836,\n", - " 3.04225264, 2.62777992, 101.38336407, 86.67638434,\n", - " 86.23870383, 93.58002749, 95.84021691, -113.09930751,\n", - " 98.42979419, 99.48229496, 44.34260369, 88.81611843,\n", - " 88.86564817, 99.94489805, 84.71419426, 99.7936944 ,\n", - " 94.53989549, 84.70334977, 89.5150372 , 90.20733927,\n", - " 96.26188954, 79.86334361, 76.67868698, 83.32577078,\n", - " 78.73124607, 81.51823165, 65.05692671, 86.31261968,\n", - " 86.48007452, 86.25193799, 95.01680981, 103.11376629,\n", - " 7.42490729, 67.9517663 , -173.97689414, 2.39197695,\n", - " -6.07718256, 23.69873238, 85.83693125, 9.3545203 ,\n", - " 66.01857943, 66.01766879, 99.83140933, 83.43417726,\n", - " 81.48569907, 88.41010876, 87.81289136, 65.06823816,\n", - " 59.62166019, 93.93979074, 93.8912295 , 76.96890772,\n", - " 13.44470648, 93.34203479, 96.5391838 , 77.58958739,\n", - " 102.06696868, 81.55442822, 95.3941669 , 71.19804376,\n", - " 101.94609477, 63.27817942, 33.36723158, 70.57392159,\n", - " 58.57189872, 90.17464018, 87.93919418, 33.75711523,\n", - " 97.75555293, 67.45644584, 65.38715226, 97.06654832,\n", - " 82.58588191, 92.94733935, 79.36896556, 50.9013001 ,\n", - " 59.40511091, 83.25840627, 3.91718543, 48.48242485,\n", - " 21.7746733 , 88.26490993, 66.17379065, 85.33454828,\n", - " 89.43849234, 77.2117712 , 66.57689607, 44.34605686,\n", - " 84.92364747, -183.3403029 , 78.25212677, -9.12258335,\n", - " 93.83920525, 62.62381332, 82.39706738, -153.28628703,\n", - " 99.89779707, 98.86511311, 85.65303235, 64.13130782,\n", - " 88.90000404, 87.74699503, 96.84444195, 42.23661791,\n", - " 107.51196107, -144.15051895, 82.22991591, 82.47665358,\n", - " 70.37243983, 93.58034309, -152.7295455 , 88.38257916,\n", - " -169.17544082, 99.55505829, 102.75836148, 85.73553428,\n", - " 66.50844005, 76.41884809, 94.73667537, 95.13198873,\n", - " 41.91417885, 54.00959881, 64.63498621, 76.66957947,\n", - " 86.50259529, -157.85251275, 95.45054841, 86.21914877,\n", - " 31.423262 , 77.05080833, 65.54204587, 86.07129756,\n", - " 103.36694533, 82.91433067, 56.59983434, 82.28753543,\n", - " 94.90489598, 40.28242139, 7.41591152, 83.80594651,\n", - " 83.00577348, 82.61310229, 64.35089709, 100.43512688,\n", - " -179.31359933, 79.9585242 , 84.86334284, 83.02669549,\n", - " 100.58878414, 65.88249383, 84.68745175, 37.45101745,\n", - " 53.23502808, 75.95868645, -171.07388823, 96.57244318,\n", - " 50.30547512, 57.43050868, 75.8247666 , 33.28779619,\n", - " 91.468521 , 103.16758482, 91.89829113, 92.26924999,\n", - " 89.48575437, 99.79648387, 8.37918771, 104.43644295,\n", - " 74.12311229, -177.22557181, 100.05224112, 74.6195145 ,\n", - " 76.37945622, 86.77549117, 78.41243561, 76.1287281 ,\n", - " 58.0637597 , 83.16649046, 74.68243258, 5.53025378,\n", - " 108.26666219, 36.61514398, 94.44331865, 110.95029284,\n", - " 70.603123 , 62.08561045, 88.89685765, 96.62189287,\n", - " 47.64071136, 4.92219256, 85.02693466, -184.7236395 ,\n", - " 88.84338022, 52.73672575, 82.01633938, 83.35018668,\n", - " 89.89508935, 102.40916509, 87.07781781, 102.17180401,\n", - " 58.05046684, 83.73809904, 81.93270183, 88.79650008,\n", - " 83.2412099 , 76.51887253, -122.3974001 , 85.1299772 ,\n", - " 70.61704928, 83.62072007, 83.84844677, 84.49988403,\n", - " 82.6425758 , 95.61217354, 78.51362506, 78.54654964,\n", - " 101.64666552, 82.49742055, 88.98066606, 95.09830197,\n", - " 71.20501852, 130.36483508, 85.07803994, 73.00096431,\n", - " 65.56268573, 77.28744478, 58.33172704, -201.20230003,\n", - " 94.16842915, 125.68765767, 76.97367762, 89.68060563,\n", - " 68.41236678, 82.9827913 , 84.46522421, 90.09642062,\n", - " 92.13915948, 48.40151378, 88.14082046, 94.76611423,\n", - " 62.72874929, 84.00352573, 83.22409626, 85.05265534,\n", - " -1.6634491 , 32.67957471, 40.13313058, 37.99335595,\n", - " 66.06050523, -0.43110689, -0.79504634, 102.82960611,\n", - " 32.82756366, 7.27094223, 59.88633466, -152.06338913,\n", - " 26.17853546, -117.14155666, 46.77132701, 39.99 ,\n", - " 118.29510905, 87.74839339, 1.72776122, 88.33208777,\n", - " 119.73213713, -1.13149275, 148.92814851, 95.88334177,\n", - " 95.48699195, -0.458504 , 166.60326494, -24.31014452,\n", - " 26.2542151 , -59.077689 , 120.03314892, -117.14155671,\n", - " 46.77132704, 71.63992634, 118.29510863, 87.74839368,\n", - " 0. , 0. , 56.51896946, 74.89091481,\n", - " 46.194113 , 64.28529793, 28.37332507, 42.31905477,\n", - " 26.77547469, 34.35816468, 54.57397763, 46.83661911,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 47.13899926, 14.78110885, 71.90993276, 45.43912969,\n", - " 95.53449141, 95.48126734, 96.43257265, 94.20849526,\n", - " 75.81246424, 43.67257644, 93.80505867, 95.14429299,\n", - " 3.7491077 , 88.79726376, 88.60066959, 90.10092708,\n", - " 48.21779971, 60.52363303, 75.52138948, 86.60175229,\n", - " 91.1236028 , 90.14086459, 86.32160807, 94.40644274,\n", - " 95.67806762, 94.36997816, 86.18077556, 82.48730323,\n", - " 55.8339358 , 141.68222112, 69.92066932, 85.15717926,\n", - " 89.41157909, 52.64748196, 83.46571373, 58.79030108,\n", - " 78.5317663 , 68.97289423, 35.19096103, 49.68612091,\n", - " 75.99038726, 78.33799775, 82.38565479, 72.79321782,\n", - " 96.37065289, 64.73922436, 100.39858605, 70.70327742,\n", - " 96.39333475, 22.7260407 , 94.51499067, 93.59690286,\n", - " 90.16064968, 96.21600662, 54.10800692, 86.55571769,\n", - " 86.3632794 , -96.21037211, 92.57625912, -149.71702385,\n", - " 79.72454728, 68.24766199, 89.90793085, 89.80660982,\n", - " 70.74288496, 77.17337701, 82.89940772, 80.36165691,\n", - " 82.19862312, 358.79248187, 69.69304395, 77.52921965,\n", - " 94.4501445 , 94.98219359, 81.00518935, 90.4404033 ,\n", - " 42.16943186, 96.74352952, 93.46682226, 89.13700886,\n", - " -168.93853895, -105.47601332, -117.46167392, 98.30797401,\n", - " 90.41709334, 90.29705328, 83.46598093, 97.00452381,\n", - " 97.10262946, 40.27060694, 34.75215012, 94.72757235,\n", - " 68.34424696, 66.44386432, -107.23899759, -121.1177589 ,\n", - " 95.72208524, 95.73179116, 54.8961609 , 90.02995002,\n", - " -99.95796208, 86.86747541, 53.13995182, 71.54568557,\n", - " 86.13326055, 85.67963976, 90.14081677, 99.30013003,\n", - " 93.11672438, 89.96575725, 100.24535251, 95.95673699,\n", - " 105.38033325, 30.71258473, 19.80953366, 105.08807745,\n", - " 103.26923809, 112.31437538, 105.37356412, 112.00081562,\n", - " 75.18723599, 26.21215444, 27.57065743, 33.4173811 ,\n", - " 36.78861544, 140.87288433, -132.97305471, -133.45238992,\n", - " 48.78270187, 42.94674368, 83.31343937, 75.83014797,\n", - " 99.71287445, 99.42461659, 94.58451478, 96.87495387,\n", - " 62.14552438, 86.95986318, 94.83494803, 94.83227032,\n", - " 86.55193718, 84.36632281, 94.35276919, 99.37635974,\n", - " 96.74804558, 93.69434833, 93.56227533, 46.35156423,\n", - " 90.19241802, 109.51183999, 96.48984125, 64.36970214,\n", - " 101.45328658, 15.95354501, -136.97959346, 95.72202563,\n", - " 90.39539476, 91.08172705, 91.95123621, 40.33653077,\n", - " 40.87664536, 95.28867276, 99.83323768, 95.32531161,\n", - " 100.17090874, 100.166245 , 125.7900505 , 107.99802997,\n", - " 90.31945484, 93.40329839, 76.63174422, 82.22303583,\n", - " 91.05065738, 71.96251431, 60.47971111, 95.3171561 ,\n", - " 96.09639644, 72.84403317, 72.75139819, 87.41813877,\n", - " 95.75299041, 75.58699581, 83.92570203, 89.57425529,\n", - " 87.5212871 , 48.81316952, 61.34043463, 56.00567256,\n", - " 68.85872345, 56.4802328 , 59.64072126, 87.9702201 ,\n", - " 52.13594969, 98.99135922, 102.3509986 , 96.00031147,\n", - " 92.8382392 , 96.96706725, 19.68893299, 89.71974605,\n", - " 95.88504155, 14.04434249, 85.12248342, 83.79803682,\n", - " 129.52208812, 86.10869908, 85.99989742, 71.41092606,\n", - " 81.84261819, 94.54096909, 95.08454202, 38.83199159,\n", - " 38.65159109, 98.77213662, 57.16807198, 35.48923873,\n", - " 95.64439282, 95.64607653, 31.97600336, 31.78251545,\n", - " 67.89939675, 38.88419262, 73.25734184, 77.41171008,\n", - " 64.72019683, 73.48207777, 72.88983287, 72.29429375,\n", - " 83.3716471 , 76.53701536, 94.54098733, 98.86672581,\n", - " 71.23766723, 69.61560823, 89.84364192, 86.18385936,\n", - " 57.87260618, 85.96986882, 90.36975121, -136.69326969,\n", - " 95.63568112, 95.24278217, 83.64055877, 94.76294484,\n", - " 92.19127871, 71.4778784 , 44.20294509, 32.72892145,\n", - " 42.40765275, 86.39622721, 84.81932133, 139.77605162,\n", - " -106.28009702, 73.3651748 , 93.15190212, 96.24059476,\n", - " 87.59046275, 94.17349457, 87.9543758 , 60.20115446,\n", - " 61.71408299, 65.5751044 , 57.28400655, 75.46915056,\n", - " 87.42736995, 36.8426117 , 72.60344542, 83.26594218,\n", - " 95.09101465, 125.48335197, 74.09964941, 79.81161597,\n", - " 90.16225597, 100.64029293, 100.42758628, 81.07895684,\n", - " 85.87540911, 75.68996611, 44.72459598, 41.72099975,\n", - " 60.16086056, 85.11493661, 84.82162476, 97.25472517,\n", - " 101.69810853, 74.7916336 , 86.04791464, 74.37530406,\n", - " 60.70621253, 58.92656277, 138.09203767, 105.7389783 ,\n", - " 53.78133046, 55.72460074, 91.00474376, 78.74231864,\n", - " 66.8527988 , -86.31655541, 52.12455097, 38.96261258,\n", - " 96.35082097, 101.02694714, 67.40736162, 93.95956716,\n", - " 96.43907518, 100.00962762, 102.84444277, 92.83273523,\n", - " -100.69681841, 92.33705645, 86.53697902, 93.7621278 ,\n", - " 65.96482474, 65.54399688, 134.78218899, 135.03944284,\n", - " 92.10718703, 54.77035239, 85.20806647, 80.05736893,\n", - " 100.13956456, 86.27347739, 40.89307602, 41.27026172,\n", - " 75.89085992, 92.55679221, 85.02798295, 96.2926299 ,\n", - " 90.61794251, 91.79384171, 91.80024623, 91.46297983,\n", - " 85.88572891, 86.35902011, 76.57492713, 74.88258715,\n", - " 101.44267409, 98.18085698, 95.4860519 , 88.14899746,\n", - " -134.17577134, -149.17782627, 97.62015867, 71.42878494,\n", - " 89.32756823, 89.01774697, 92.43832182, 34.18553515,\n", - " 86.1456925 , 62.17899478, 89.37421118, 93.93471697,\n", - " 16.10502576, 86.53265484, 88.04730681, 90.01819587,\n", - " 101.50489534, 97.00377362, 94.80858028, 84.20728597,\n", - " 89.49756961, 87.81521963, 93.96884298, 92.46672598,\n", - " 95.31895533, 98.13388048, 108.47706161, 89.55760831,\n", - " 89.82509162, 94.30124394, 93.55446253, 91.87351555,\n", - " 86.99799496, 93.61407235, 75.71080414, 89.69826342,\n", - " 89.71863378, 81.18731632, 52.00260198, 108.17019814,\n", - " 84.59691499, 49.42362198, 75.32480396, 95.34920774,\n", - " 34.80529629, 17.61585533, 37.67187909, 40.62523005,\n", - " 56.35692387, 90.32435576, 99.56853649, 100.09126169,\n", - " 68.55013121, 34.01702487, 54.66582012, 93.73587213,\n", - " 84.59527418, -144.25521534, -105.09759938, 102.34110231,\n", - " 93.95302064, 92.41948527, 52.72355115, 89.83873471,\n", - " 79.44327149, -120.42836681, 94.00727037, 96.07894012,\n", - " 79.37817991, 86.54344965, 86.51028138, 24.24785837,\n", - " 55.13005523, 13.29224147, 74.45083851, 68.34808027,\n", - " 103.5634425 , 102.12554781, 46.49113559, 53.01655103,\n", - " 82.26817432, 92.31806028, 86.51942958, 87.33726787,\n", - " 87.35235602, 90.76075231, 84.35168077, 91.23120357,\n", - " 90.46058468, -102.24697495, 98.04437608, 70.18798433,\n", - " 93.36617378, 28.66014507, 14.76586016, 94.52557119,\n", - " 61.96484104, 69.50910797, 103.11953275, 33.70087462,\n", - " 116.70213087, 118.68975609, 89.13794575, 86.04333604,\n", - " 85.18972064, 88.49892197, 80.11691206, 88.79735674,\n", - " 90.07465186, 89.49473138, 84.07302591, 107.98491354,\n", - " 26.35330078, 27.66708979, 57.17999696, 95.27060807,\n", - " 78.53328284, 30.0581312 , 50.67481531, 100.95451346,\n", - " 89.27487371, 97.30745143, 89.63841992, 42.62982707,\n", - " 92.52649427, 83.1429315 , 96.11859255, 83.16348602,\n", - " 95.91111509, 91.21929233, 86.46308212, 93.88861266,\n", - " 32.17315361, 21.62087059, 93.99226238, 88.1539523 ,\n", - " 96.16938413, -81.36753891, 70.61309441, 78.39966742,\n", - " 25.81881458, 12.86255197, 95.45897065, 101.15006148,\n", - " 93.3948921 , 93.88134528, 42.33428745, 16.32759252,\n", - " 85.03063852, 43.90484811, 44.58818908, 110.23210583,\n", - " 104.33330217, 102.4690578 , 62.29276755, 9.27842368,\n", - " 9.46107127, 88.8012581 , 83.6163569 , 96.46287718,\n", - " 90.160616 , 39.63625484, 39.89281233, 64.16945111,\n", - " 96.04754319, 94.4100526 , 74.64673664, 99.90143561,\n", - " 95.62127134, 100.93547718, 86.74440128, 72.5160996 ,\n", - " 88.35187938, 94.20394864, 94.59635437, 94.24777683,\n", - " 93.77056318, 91.36482407, 75.17258035, 95.93176007,\n", - " 80.16786648, -112.60553501, 64.51649961, 90.53479311,\n", - " 91.51966523, 95.58438311, 90.21940793, 94.89196259,\n", - " 103.90567661, 87.84084824, 117.16123147, 114.84209196,\n", - " 102.2513061 , 81.24044773, 91.68329173, 90.75444032,\n", - " 77.58453001, 93.74135764, 94.76258513, 93.51487436,\n", - " -84.84175507, 94.83566298, 89.81130103, 57.80970386,\n", - " 101.03848809, 83.18714226, 86.1243844 , 87.816799 ,\n", - " 58.66571526, 10.18401501, 104.58428956, 79.07176601,\n", - " 23.35425635, 33.45254839, 72.99565115, 83.73863961,\n", - " 84.90615389, 28.52158189, -76.59307282, 94.24046088,\n", - " 90.59672443, 76.0456903 , 43.13438523, 82.11669372,\n", - " 92.76823423, 85.40660409, 66.03121873, 29.08039966,\n", - " 10.7297135 , 86.1844736 , 78.56635911, 62.66312447,\n", - " 90.31561947, 89.62058403, 86.80798962, 93.12686325,\n", - " 93.87299228, 99.31736093, 99.91566126, 45.4621418 ,\n", - " 99.16888472, 93.21206822, 68.03711416, 76.49890074,\n", - " 110.63545004, 93.14369814, 61.59593696, 97.15675873,\n", - " 131.78468005, 82.91891803, 85.3439748 , 63.63774431,\n", - " 53.11362452, 91.70535935, 70.20177418, 95.64033504,\n", - " 119.74277914, 88.56678513, 98.07723932, 84.66206437,\n", - " 86.48192394, 83.9779898 , 88.51600063, 87.79570321,\n", - " 62.93414006, 95.35414809, 62.47651042, 96.90653366,\n", - " 102.8368992 , 92.03397143, 89.74026822, 83.77917741,\n", - " 84.64824223, 36.70029053, 81.05300423, 88.45708984,\n", - " 94.36566831, 80.11279177, 59.84821658, 83.74146166,\n", - " 91.11127628, 88.79363854, 84.76862967, -129.54635131,\n", - " 89.82903503, 52.21999874, 88.56272638, 73.16044378,\n", - " 102.90508523, 99.08122444, 78.58660267, 114.73604417,\n", - " -106.61291681, 68.41436326, 66.66872755, 101.64579659,\n", - " 88.3423052 , 78.86536424, 76.78370679, 69.18948049,\n", - " 9.23284282, 8.81999572, 101.51241798, 87.55774523,\n", - " 86.58474982, 93.97092092, 96.13501049, -82.8057174 ,\n", - " 98.75917774, 103.58646754, 47.89333474, 89.75495728,\n", - " 89.80039996, 100.04861936, 85.06048121, 100.13302471,\n", - " 94.86754106, 85.11636063, 89.84523577, 90.73078802,\n", - " 96.59355747, 80.46151538, 77.56400058, 84.2073586 ,\n", - " 79.14997771, 81.93696329, 65.72022976, 86.67887347,\n", - " 86.83086251, 86.57836883, 95.3437485 , 103.10339661,\n", - " 13.46909946, 68.37175705, -138.69940311, 8.59983775,\n", - " 2.47147702, 30.88054556, 86.23646628, 16.5366748 ,\n", - " 67.92972638, 67.92889226, 100.16757057, 83.82006316,\n", - " 81.88655984, 89.35278372, 88.75556632, 65.39435873,\n", - " 59.9477987 , 94.3317535 , 94.23747448, 77.56734095,\n", - " 19.2784622 , 93.6730663 , 96.63749972, 78.18785504,\n", - " 103.67301399, 82.14020825, 95.49796423, 72.4969764 ,\n", - " 102.049816 , 63.47213884, 36.88798541, 73.89215798,\n", - " 60.00729726, 90.47165021, 88.22042184, 35.6682935 ,\n", - " 97.86106612, 68.75537924, 69.70080169, 97.17678432,\n", - " 82.93609381, 92.93701664, 83.64567433, 50.83469394,\n", - " 59.79724382, 84.6594774 , 10.27788051, 51.80763715,\n", - " 26.06949987, 88.39726921, 66.30616187, 85.92337125,\n", - " 93.19374828, 77.51874093, 66.89779962, 47.67137835,\n", - " 85.28699458, -148.25053513, 78.91592117, -1.69022382,\n", - " 94.23004484, 62.94471688, 83.01133536, -120.79879295,\n", - " 100.00151849, 98.96883453, 85.97946178, 65.43036813,\n", - " 89.83192071, 88.16005186, 96.94064795, 42.62878859,\n", - " 107.72950233, -113.86534292, 82.64320214, 82.89020783,\n", - " 70.68929409, 93.87812187, -121.24997787, 88.54592006,\n", - " -138.90442778, 99.65955509, 106.72438285, 86.06042023,\n", - " 66.90057411, 77.36875747, 95.03435277, 95.3655559 ,\n", - " 43.26438467, 56.11876625, 65.68204019, 77.07266658,\n", - " 86.91394253, -127.57101032, 95.55471024, 86.54475209,\n", - " 37.54324385, 77.70239072, 68.85452289, 86.39167428,\n", - " 103.73250904, 83.32789214, 57.26550281, 82.67342134,\n", - " 95.30971904, 40.68550939, 13.45378168, 84.22014287,\n", - " 83.36935552, 83.02666362, 64.74303616, 100.38996671,\n", - " -147.04221215, 80.3772368 , 85.18859976, 83.61234057,\n", - " 100.69294674, 66.30354073, 85.10164813, 38.80123767,\n", - " 56.56025533, 76.54448991, -139.56882144, 96.68558286,\n", - " 50.98338652, 57.93322023, 76.7789256 , 35.37259407,\n", - " 91.79360132, 103.2693077 , 92.24435597, 92.48982349,\n", - " 90.07461582, 100.13557979, 14.23252123, 104.38595018,\n", - " 75.07727117, -140.71220518, 100.06980441, 75.98151457,\n", - " 77.26466081, 86.99453851, 79.29825288, 77.01454535,\n", - " 60.67244436, 83.92364131, 75.43958348, 15.84924299,\n", - " 111.75955567, 37.96642324, 94.46399355, 113.42901822,\n", - " 74.72126822, 64.69431302, 89.82903399, 96.55519171,\n", - " 47.96154754, 15.24130287, 85.21122265, -153.24294303,\n", - " 89.11462951, 53.48463567, 82.79474848, 83.60265628,\n", - " 90.29475627, 102.52053159, 91.04575989, 102.26370171,\n", - " 60.65913249, 83.96545874, 82.33312231, 89.45008195,\n", - " 83.8272203 , 77.12427721, -92.20976377, 85.38963267,\n", - " 74.97000862, 84.20720857, 84.17410651, 84.82956782,\n", - " 83.52384651, 95.56535029, 79.44500457, 79.47792967,\n", - " 101.75406077, 83.84812582, 89.24578011, 95.50315527,\n", - " 71.37338291, 130.42561451, 85.95942955, 73.43609358,\n", - " 65.99892834, 78.22324477, 61.65721214, -168.71355637,\n", - " 94.44960909, 125.7484377 , 77.85899122, 90.0302233 ,\n", - " 68.82624665, 83.39581763, 84.87878713, 90.0710844 ,\n", - " 92.40852489, 48.66324501, 88.52795116, 95.06379028,\n", - " 62.69369359, 84.68189169, 83.64166401, 85.4658476 ,\n", - " -1.6634491 , 36.37668694, 41.5541382 , 46.62037861,\n", - " 67.959148 , -0.4310859 , -0.79502527, 102.93419298,\n", - " 36.2952862 , 14.0614089 , 63.11852951, -128.72181534,\n", - " 26.37196206, -86.92951894, 50.28278399, 39.99 ,\n", - " 120.69463929, 93.9449631 , 1.72776122, 94.4051603 ,\n", - " 122.10052153, 6.44641146, 149.29214932, 96.21486757,\n", - " 95.81855309, -0.45848472, 166.67774552, -18.23393476,\n", - " 29.21984555, -31.22339454, 119.99921992, -86.92951899,\n", - " 50.28278402, 71.80901624, 120.69463888, 93.94496338,\n", - " 0. , 0. , 56.50361962, 74.84038695,\n", - " 46.18830922, 64.28529793, 28.3734026 , 42.31905477,\n", - " 26.77547469, 34.32110966, 54.50319685, 46.63670374,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 69.30034006, 86.10078661, 84.1201913 , 57.72101462,\n", - " 97.09355425, 97.18366616, 98.13187193, 95.3227438 ,\n", - " 77.90558058, 45.78093025, 95.90898747, 97.2352968 ,\n", - " 81.1415025 , 89.96507828, 90.1543478 , 91.65460558,\n", - " 72.32414887, 75.62178693, 77.23107479, 88.31122036,\n", - " 92.24174982, 91.24839745, 87.87912166, 95.93298933,\n", - " 97.74751637, 96.38877787, 87.73958944, 86.62289258,\n", - " 60.17066198, 142.78114921, 96.31877689, 89.00728777,\n", - " 93.26156132, 54.67602709, 89.00755405, 60.81883823,\n", - " 80.80809387, 71.25035441, 37.21952927, 51.71467664,\n", - " 84.48985777, 86.83782897, 88.03028184, 81.75440823,\n", - " 97.99442784, 64.50309457, 101.25811848, 70.71123444,\n", - " 98.0224976 , 94.16541639, 95.66144412, 94.84177192,\n", - " 91.76102784, 97.8358643 , 62.61743243, 95.03668599,\n", - " 94.84570244, 107.80853979, 92.36245483, 54.31441475,\n", - " 83.64903222, 75.98503276, 92.74418573, 92.67201428,\n", - " 72.77136065, 79.20775184, 84.66861187, 82.28997264,\n", - " 84.22663948, 364.10695996, 71.72140032, 79.55782044,\n", - " 95.00499245, 95.53704153, 84.8603308 , 91.30625694,\n", - " 43.03594126, 97.18637127, 93.94323625, 91.98082558,\n", - " 41.39601353, 97.84797566, 85.86274197, 98.31760176,\n", - " 94.14382187, 93.87232044, 85.49393904, 97.46477418,\n", - " 97.56148933, 42.29918656, 36.78072382, 96.25044205,\n", - " 70.37261749, 68.47233412, 96.15600821, 82.27747582,\n", - " 97.34194477, 97.35165069, 56.13548145, 91.26823264,\n", - " 98.54774983, 119.20982557, 80.90732665, 103.89226076,\n", - " 88.28812008, 87.83704612, 92.98966987, 99.76332291,\n", - " 95.08232342, 91.85515598, 100.7175879 , 96.43038098,\n", - " 133.75748256, 71.79813725, 60.86636761, 135.58149583,\n", - " 103.74137468, 113.47735915, 106.53728344, 138.1756905 ,\n", - " 105.68253099, 65.09111604, 66.59332024, 73.84029575,\n", - " 77.11306917, 141.69281789, 78.6624919 , 78.18639072,\n", - " 93.59566979, 91.00503298, 91.78907527, 84.32873527,\n", - " 100.17803296, 99.88938218, 97.58672402, 99.78905593,\n", - " 83.66194703, 95.39073508, 96.39534162, 96.39624666,\n", - " 88.81290538, 86.68356343, 94.48943689, 101.7996145 ,\n", - " 97.2071987 , 95.70486027, 95.56009275, 67.86801768,\n", - " 91.65069222, 111.35021063, 97.9784699 , 69.76247984,\n", - " 130.92791057, 96.25589082, 99.71545561, 96.20586037,\n", - " 90.88096417, 91.56952406, 93.97093479, 43.51947849,\n", - " 44.34758896, 96.86404058, 99.94856596, 95.57150142,\n", - " 102.65090015, 102.64941726, 127.80125345, 110.19918707,\n", - " 90.80441895, 95.42300569, 82.31447133, 87.90577084,\n", - " 91.53363074, 73.99109481, 62.50853251, 96.96334458,\n", - " 97.70992814, 74.87239773, 74.77981873, 94.18374036,\n", - " 97.77282084, 81.35529492, 89.66380903, 93.38377985,\n", - " 91.33720161, 51.78598836, 77.71823297, 72.39219974,\n", - " 76.60452626, 64.22601941, 61.21233271, 89.67881231,\n", - " 53.65600221, 99.52411855, 102.85830275, 97.11551202,\n", - " 93.47151886, 97.60034758, 90.58727272, 91.31826303,\n", - " 97.49648532, 94.31896513, 86.95893083, 89.37592574,\n", - " 130.40616644, 88.25008752, 88.14491315, 80.37464665,\n", - " 90.80926584, 96.15529384, 96.69858353, 91.02304933,\n", - " 88.26792651, 120.28649652, 87.79146557, 69.5634259 ,\n", - " 97.74995988, 97.75062689, 86.58740742, 86.00917816,\n", - " 80.93224983, 51.94955799, 75.28586519, 105.81298678,\n", - " 81.09939856, 89.14504472, 74.91840435, 74.32287314,\n", - " 85.39940104, 82.30539679, 95.69149561, 100.0044025 ,\n", - " 103.34792865, 101.68505761, 95.44801483, 87.40173205,\n", - " 70.72606496, 87.09131391, 92.47505847, 99.70577961,\n", - " 97.28713412, 95.8745553 , 84.27508664, 95.8811962 ,\n", - " 93.040075 , 103.65863019, 56.4851117 , 45.58910395,\n", - " 54.68987878, 86.5150926 , 85.46100272, 140.87500664,\n", - " 89.76238574, 85.21870503, 94.700421 , 97.81326761,\n", - " 88.29348223, 96.19008714, 88.65672622, 64.60461896,\n", - " 66.11788968, 92.01322586, 83.72622835, 77.65854055,\n", - " 89.54489524, 49.15418077, 74.21033719, 84.86437043,\n", - " 96.466696 , 126.57784168, 75.61909312, 81.33103742,\n", - " 93.97202313, 103.53707341, 103.3245143 , 85.46642338,\n", - " 88.02125298, 81.49611454, 89.5628552 , 86.66420349,\n", - " 67.90664428, 90.39996282, 90.10605727, 97.71052842,\n", - " 102.22378914, 75.42488109, 88.20206705, 75.01071906,\n", - " 62.73472772, 60.95507796, 138.77494831, 106.02154036,\n", - " 55.30078464, 57.24405053, 117.0623447 , 105.0836795 ,\n", - " 71.24098082, 108.40283113, 56.52448875, 61.71772095,\n", - " 97.02261073, 101.6987397 , 81.57235595, 94.59133829,\n", - " 97.07082214, 100.12144355, 103.01510284, 94.38273756,\n", - " 97.71612275, 93.88460504, 88.24648234, 95.37636221,\n", - " 67.48465751, 67.06383435, 136.77642493, 137.04378144,\n", - " 93.64487949, 59.15853844, 89.10325382, 81.57680047,\n", - " 102.64093393, 88.43088376, 59.47101931, 58.9245241 ,\n", - " 84.39012242, 95.29315074, 87.18429213, 98.7380998 ,\n", - " 92.14556602, 93.32707436, 93.33492327, 123.45651117,\n", - " 87.40448187, 87.90309991, 78.60352288, 76.91118301,\n", - " 130.94321355, 127.68277044, 97.05716693, 90.30566268,\n", - " 100.86087885, 85.87534096, 129.76090192, 103.59408103,\n", - " 90.51133146, 90.19244395, 93.83699592, 82.26576113,\n", - " 87.01235397, 63.04566179, 93.14187887, 94.79330091,\n", - " 65.7249483 , 87.63952758, 89.00979755, 91.61800331,\n", - " 132.97613089, 127.82626808, 96.09622505, 85.72625402,\n", - " 90.68686973, 88.97224736, 95.12079765, 94.01327964,\n", - " 96.88606543, 123.01072501, 133.41147025, 95.25140442,\n", - " 95.44843924, 96.00329363, 95.25542123, 93.42009604,\n", - " 88.14075693, 95.64144616, 83.45657434, 90.56457874,\n", - " 91.74285789, 83.21567753, 80.88540264, 137.05811115,\n", - " 88.40792003, 94.23940918, 87.5123984 , 96.49019784,\n", - " 75.21924907, 58.44180074, 38.53855587, 80.94406107,\n", - " 89.6354294 , 118.77831065, 100.04916797, 100.57309261,\n", - " 84.99943501, 46.43754741, 71.17540644, 95.75547987,\n", - " 86.61491451, 67.5123015 , 106.72586651, 103.01289514,\n", - " 96.05761093, 94.52407557, 54.83197761, 95.4538333 ,\n", - " 83.77690241, 93.38372793, 94.85180122, 97.77382517,\n", - " 90.47873732, 87.80323058, 87.76998158, 76.51190583,\n", - " 57.15887942, 93.57742959, 78.83878805, 72.73861712,\n", - " 103.82264136, 102.51160522, 56.79413969, 62.55359878,\n", - " 84.45373164, 94.01807128, 90.35729264, 88.59813911,\n", - " 88.61240003, 92.86555767, 85.90781138, 92.67711111,\n", - " 91.85689453, 96.17375617, 98.90497541, 71.04859143,\n", - " 95.06165221, 69.74571638, 53.46128574, 96.08014404,\n", - " 78.33925597, 71.0657305 , 103.03025514, 55.41565124,\n", - " 117.71425714, 119.67993049, 91.46387941, 88.10618959,\n", - " 87.2455803 , 94.1141562 , 84.58735005, 94.41260616,\n", - " 93.92573581, 93.34583926, 85.16074951, 108.66786072,\n", - " 40.37304384, 41.69973144, 72.41237261, 96.55825284,\n", - " 83.00428532, 42.35731704, 55.38546612, 103.84571435,\n", - " 94.96943168, 97.76026118, 89.43286884, 42.42427997,\n", - " 94.22970027, 84.86914053, 97.67996436, 84.99344417,\n", - " 96.41243425, 92.75192342, 87.97941774, 95.99316243,\n", - " 73.22693607, 62.57195597, 95.11169796, 89.10288021,\n", - " 97.73311563, 125.27772621, 83.40150026, 91.18807416,\n", - " 59.13812693, 46.19550813, 97.03008568, 101.61215554,\n", - " 95.107172 , 95.59357476, 83.12725769, 87.68149739,\n", - " 85.71645087, 84.54611547, 85.23292534, 112.06796244,\n", - " 103.93815989, 102.08881996, 76.14529781, 50.21185452,\n", - " 50.44724583, 90.52094606, 85.7730057 , 98.16274191,\n", - " 93.97084558, 41.66483508, 41.92139218, 66.19796516,\n", - " 97.6076171 , 95.95716923, 75.89830445, 99.795968 ,\n", - " 97.17547939, 100.82999971, 86.63769915, 74.54467927,\n", - " 90.37217552, 96.27578424, 96.66865992, 96.05928915,\n", - " 95.76243795, 94.26212905, 103.64504278, 97.48074972,\n", - " 82.36082601, 103.07509817, 72.25405867, 92.24051527,\n", - " 93.34614489, 97.40534238, 92.29509447, 95.72823251,\n", - " 103.6509022 , 89.00998729, 137.11810793, 116.00530008,\n", - " 133.89719283, 112.97851725, 91.52484342, 90.58826447,\n", - " 82.89750227, 95.29281414, 96.3226479 , 95.06605703,\n", - " 110.54840507, 96.39579564, 95.44298442, 65.54726635,\n", - " 126.28785797, 85.38013581, 87.23281128, 91.71650345,\n", - " 88.14410787, 51.28964724, 116.25363296, 91.2486326 ,\n", - " 83.43922227, 72.79299335, 81.95944881, 85.29600876,\n", - " 86.46346631, 87.38110189, 125.82366748, 95.38667263,\n", - " 92.60317823, 88.23076926, 45.36643348, 91.10625029,\n", - " 94.47264817, 87.11374335, 79.17717445, 70.24080063,\n", - " 52.00211794, 87.73889935, 81.47628052, 87.67268682,\n", - " 94.23623173, 93.45871589, 92.42323915, 93.59512378,\n", - " 94.34634514, 99.98915421, 100.58745475, 72.76760687,\n", - " 99.86414507, 93.90743411, 81.04484004, 80.41998241,\n", - " 113.36529251, 96.03451048, 77.98246338, 98.02362482,\n", - " 132.60540489, 84.66811393, 87.05208083, 93.61932867,\n", - " 83.71992408, 93.32843437, 83.12750567, 97.26086507,\n", - " 122.36379948, 89.0602351 , 98.57059155, 86.81875551,\n", - " 88.63861537, 86.04323862, 89.14840507, 88.42812322,\n", - " 79.32078511, 96.50902846, 78.86317014, 97.36280896,\n", - " 102.48409422, 91.8282997 , 91.76298235, 85.93586506,\n", - " 86.80493328, 91.94614248, 84.97270341, 92.35821048,\n", - " 95.63301387, 84.03399458, 63.76941993, 87.66263557,\n", - " 92.97627183, 90.65863593, 110.04631566, 105.44673846,\n", - " 95.44999981, 61.75705801, 89.76628287, 87.45827005,\n", - " 102.79960805, 125.25962638, 79.45346965, 138.94375451,\n", - " 88.78017127, 69.9338071 , 68.18817138, 133.44247243,\n", - " 89.54303359, 87.35352413, 103.18636632, 95.59287465,\n", - " 50.2050453 , 49.8042845 , 102.35416582, 92.84277607,\n", - " 88.29027076, 95.99136906, 98.49648115, 113.23138302,\n", - " 101.19105473, 134.10043106, 69.96969618, 95.42068403,\n", - " 95.4386714 , 100.53045435, 86.76920079, 102.63885451,\n", - " 96.4130664 , 87.27270995, 91.44492183, 93.63157325,\n", - " 98.22683798, 84.38200636, 82.87513415, 89.49388838,\n", - " 81.34305178, 84.13003737, 70.12496285, 88.51354206,\n", - " 88.55978716, 88.13749221, 96.88582955, 103.00925465,\n", - " 53.94678643, 70.57963946, 97.73398496, 49.70044496,\n", - " 62.55961587, 83.52615168, 88.3113625 , 69.18481851,\n", - " 81.01069492, 81.0104297 , 102.64983874, 85.78889186,\n", - " 83.95734607, 95.04423726, 94.44701987, 66.95107182,\n", - " 61.50464526, 96.35900457, 95.92837613, 81.48977585,\n", - " 58.1575595 , 95.29158453, 97.09753818, 82.10905886,\n", - " 115.6137419 , 85.96879086, 95.98058124, 81.00254587,\n", - " 102.53165035, 65.09143956, 60.99449317, 100.28264718,\n", - " 68.97116294, 91.86440438, 89.5251814 , 48.74949486,\n", - " 98.35666424, 77.26095439, 101.77219699, 97.81006474,\n", - " 84.6610801 , 92.84322389, 115.44242086, 50.30277189,\n", - " 61.82581264, 93.39887826, 52.51478973, 78.24999127,\n", - " 55.56415307, 89.26359201, 67.17257341, 89.77419375,\n", - " 122.8333937 , 79.97073964, 68.41775515, 74.11454426,\n", - " 87.1019233 , 86.78715614, 83.32430744, 52.95341349,\n", - " 96.25013246, 64.46467254, 87.05149942, 94.89134819,\n", - " 100.48335427, 99.45067036, 87.5387435 , 73.93688686,\n", - " 95.45114036, 90.31674305, 97.39423754, 44.6576412 ,\n", - " 110.43456454, 89.61359984, 84.80159884, 85.05059728,\n", - " 73.21478291, 95.27722629, 90.19710037, 89.17828013,\n", - " 64.80874286, 100.14715573, 136.21121092, 87.60833524,\n", - " 68.92915434, 83.1088961 , 96.43379802, 98.18976861,\n", - " 53.56789741, 70.33970652, 73.41971274, 79.15850243,\n", - " 89.05978641, 75.98290229, 96.04251819, 88.0978267 ,\n", - " 78.0423819 , 82.01998224, 95.20219195, 87.9080099 ,\n", - " 107.62991175, 85.48833525, 61.68782247, 84.64225006,\n", - " 97.41454926, 42.77135189, 53.88446543, 86.38394452,\n", - " 85.18589492, 85.18710561, 66.7716508 , 100.03716223,\n", - " 67.04120371, 82.57019649, 86.73918202, 87.43984766,\n", - " 101.1807603 , 68.5116313 , 87.26544996, 49.10485749,\n", - " 83.00272053, 80.37324676, 72.06783962, 97.24043058,\n", - " 55.49673069, 60.68645167, 82.54730781, 48.51855424,\n", - " 93.32833706, 103.7414118 , 93.96871929, 93.45232893,\n", - " 93.92572435, 102.63966692, 53.29829624, 103.99048514,\n", - " 80.84565247, 104.90974945, 100.18334025, 84.46149238,\n", - " 82.57506522, 88.7637637 , 84.61273111, 82.3290235 ,\n", - " 77.05897099, 88.38138907, 79.89733158, 96.13406859,\n", - " 137.72874239, 48.27791681, 94.60066381, 133.39271024,\n", - " 105.3391164 , 81.08097282, 95.44999948, 96.03014211,\n", - " 49.48100215, 95.52702885, 86.73624865, 58.21252797,\n", - " 90.36879045, 57.87709706, 87.3940807 , 84.747295 ,\n", - " 92.36152247, 103.14491457, 120.54686814, 102.69832414,\n", - " 77.04551788, 85.79648518, 84.4009347 , 93.21774968,\n", - " 87.65751572, 81.09876647, 112.07294218, 86.57445616,\n", - " 107.33366771, 88.04095251, 85.72790803, 86.41263567,\n", - " 88.80827999, 95.19718721, 85.06025738, 85.09318637,\n", - " 102.28723876, 92.2530896 , 90.46745543, 97.60818813,\n", - " 72.04309189, 131.42638841, 91.24474706, 75.78433758,\n", - " 68.35544986, 83.86787198, 88.10159446, 46.98587533,\n", - " 95.77112924, 126.74921611, 83.17012479, 91.91962816,\n", - " 70.989057 , 85.552282 , 87.03924095, 89.87613292,\n", - " 93.65775799, 50.78641996, 90.50525202, 96.46323874,\n", - " 62.45808134, 89.19861556, 85.83153175, 87.62318418,\n", - " -1.6634491 , 59.28483333, 52.45604864, 114.24625443,\n", - " 80.94770572, -0.43098576, -0.79492444, 103.44046273,\n", - " 57.74832405, 63.44714813, 84.59269923, 14.69760301,\n", - " 27.98680871, 117.61922551, 78.10981736, 39.99 ,\n", - " 141.39910095, 140.25494591, 1.72776122, 140.01339238,\n", - " 142.5417775 , 62.11777504, 153.17793202, 97.8421277 ,\n", - " 97.45132262, -0.45839216, 167.50094117, 22.61743929,\n", - " 48.39653136, 159.4166363 , 119.77302615, 107.76120049,\n", - " 78.10981738, 73.09114148, 139.99 , 140.25494611,\n", - " 0. , 0. , 56.41670226, 74.43913461,\n", - " 46.18489975, 64.28529793, 28.3734026 , 42.31905477,\n", - " 26.77547469, 34.07505046, 53.94553756, 45.12342373,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 69.30739889, 86.11610241, 84.13487894, 57.73570227,\n", - " 97.08735467, 97.1776458 , 98.12584821, 95.31641675,\n", - " 77.90033894, 45.77571716, 95.90382003, 97.23011881,\n", - " 81.18431611, 89.95876614, 90.14812243, 91.64838022,\n", - " 72.32359297, 75.61902675, 77.22505925, 88.30520481,\n", - " 92.23542785, 91.24206616, 87.87290318, 95.92594363,\n", - " 97.74233269, 96.38352673, 87.73337329, 86.61730676,\n", - " 60.16507616, 143.99899477, 96.32065107, 89.00170101,\n", - " 93.25597451, 54.67078694, 89.00879741, 60.81359808,\n", - " 80.8028537 , 71.24511424, 37.21428911, 51.70943649,\n", - " 84.48546217, 86.83343337, 88.03171822, 81.76205428,\n", - " 97.98831945, 64.51035903, 101.25018694, 70.71748344,\n", - " 98.01640048, 94.1807322 , 95.6551407 , 94.83550864,\n", - " 91.75488813, 97.82975071, 62.61303683, 95.03229038,\n", - " 94.84130683, 107.82046471, 92.51126685, 54.32633967,\n", - " 83.64352485, 75.98223086, 92.73537349, 92.66320204,\n", - " 72.76612052, 79.2025117 , 84.66144354, 82.28280432,\n", - " 84.22139947, 364.10782319, 71.7161602 , 79.55258028,\n", - " 94.99715218, 95.52920125, 84.85474497, 91.2983254 ,\n", - " 43.02800972, 97.17827528, 93.93515323, 91.97201334,\n", - " 41.40422298, 97.85990324, 85.87466955, 98.32385077,\n", - " 94.13820283, 93.86666266, 85.48869905, 97.45671491,\n", - " 97.5534263 , 42.2939464 , 36.77548366, 96.24338923,\n", - " 70.36737736, 68.46709399, 96.16793581, 82.28940342,\n", - " 97.33583118, 97.3455371 , 56.12789901, 91.2606502 ,\n", - " 98.55967464, 119.20982557, 80.90919965, 103.89226076,\n", - " 88.28300171, 87.83193185, 92.98085763, 99.7552725 ,\n", - " 95.07618704, 91.84892206, 100.70956548, 96.42235857,\n", - " 133.75748256, 71.80014719, 60.86837754, 135.58149583,\n", - " 103.73335227, 113.48382921, 106.5437535 , 138.1756905 ,\n", - " 105.68253099, 65.09721492, 66.59922566, 73.84429546,\n", - " 77.11706888, 142.91066345, 78.67283426, 78.19673309,\n", - " 93.60123868, 91.01293123, 91.78467966, 84.32433967,\n", - " 100.16998853, 99.88133652, 97.57791178, 99.78024369,\n", - " 83.66903846, 95.38633947, 96.3891538 , 96.39006897,\n", - " 90.64935609, 88.52001414, 94.48062465, 101.79080226,\n", - " 97.19913338, 95.69948679, 95.55468632, 67.87510911,\n", - " 91.64352389, 113.74706852, 97.97135585, 69.76349298,\n", - " 130.92791057, 96.27120662, 99.72366505, 96.19783796,\n", - " 90.87299102, 91.56155909, 93.96568365, 43.51626894,\n", - " 44.34491662, 96.85788276, 99.93975372, 95.56268918,\n", - " 102.64208791, 102.64060502, 130.14745195, 112.42813159,\n", - " 90.79644355, 95.41775455, 82.31603962, 87.90733914,\n", - " 91.52564801, 73.98585464, 62.50329234, 96.95726336,\n", - " 97.70381195, 74.86715756, 74.77457856, 94.17893844,\n", - " 97.7675697 , 81.35701538, 89.66546265, 93.37818827,\n", - " 91.3316141 , 51.78238704, 77.77760889, 72.45157566,\n", - " 76.61023962, 64.23173277, 61.20605261, 89.67284032,\n", - " 53.64972211, 99.51625255, 102.85040713, 97.10918497,\n", - " 93.46349737, 97.5923261 , 90.60258853, 91.31212069,\n", - " 97.49036683, 94.33428093, 86.95319831, 89.37723793,\n", - " 130.41265269, 88.2449545 , 88.13978409, 80.38249455,\n", - " 90.81744581, 96.14917736, 96.69246652, 91.03418666,\n", - " 88.27700722, 120.28837115, 87.7924875 , 69.56444784,\n", - " 97.74479544, 97.74546058, 86.60051226, 86.02212696,\n", - " 80.94543142, 51.96273957, 75.28062502, 105.81298678,\n", - " 81.15877448, 89.15620328, 74.91316418, 74.31763297,\n", - " 85.39416112, 82.30711725, 95.68395403, 99.99682006,\n", - " 103.34792865, 101.68505761, 95.44938104, 87.39542124,\n", - " 70.73983558, 87.08498073, 92.46988615, 99.71398906,\n", - " 97.2810585 , 95.86795482, 84.26848616, 95.87487711,\n", - " 93.03359848, 103.65863019, 56.49979935, 45.60287456,\n", - " 54.70456643, 86.50819683, 85.45440408, 142.09285219,\n", - " 89.77431082, 85.23344524, 94.69422913, 97.80707979,\n", - " 88.28692574, 96.18483316, 88.65016973, 64.59903314,\n", - " 66.11230386, 92.01510005, 83.72810254, 77.65348227,\n", - " 89.53970829, 49.16886841, 74.20345685, 84.85746381,\n", - " 96.4606006 , 127.79568724, 75.61281302, 81.32475732,\n", - " 93.96643064, 103.52826117, 103.31570206, 85.46546269,\n", - " 88.01612481, 81.49792046, 89.56842409, 86.66977238,\n", - " 67.91235764, 90.40076654, 90.10685982, 97.70245771,\n", - " 102.21571843, 75.41828061, 88.19694791, 75.00411858,\n", - " 62.72948758, 60.94983782, 140.74505665, 108.91509802,\n", - " 55.29450454, 57.23777043, 117.06421889, 105.08555369,\n", - " 71.24002013, 108.41475594, 56.52352806, 61.72474952,\n", - " 97.01460486, 101.69073383, 81.56936693, 94.58473781,\n", - " 97.06422166, 100.11263131, 103.0062906 , 94.37652672,\n", - " 97.72804756, 93.8783905 , 88.2404664 , 95.37024578,\n", - " 67.47837741, 67.05755425, 136.78319476, 137.05055624,\n", - " 93.63865575, 59.15757775, 89.097668 , 81.57052037,\n", - " 102.63212168, 88.42576949, 59.47826828, 58.93181153,\n", - " 84.38572682, 95.2843385 , 87.17917566, 100.73186331,\n", - " 92.13933791, 93.32086586, 93.32871108, 123.45651117,\n", - " 87.39820177, 87.89685872, 78.59828271, 76.90594284,\n", - " 130.94321355, 127.68277044, 97.05100496, 90.30054621,\n", - " 100.86908829, 85.88355041, 129.76090192, 103.59408103,\n", - " 90.50502841, 90.18613573, 93.83077455, 82.27365938,\n", - " 87.00442243, 63.03773025, 93.13984593, 94.7868295 ,\n", - " 65.73402901, 87.63318618, 89.00338156, 91.6118628 ,\n", - " 132.97613089, 127.82626808, 96.08998561, 85.71997392,\n", - " 90.68056983, 88.96592909, 95.11449511, 94.00706342,\n", - " 96.87986621, 123.0125992 , 133.41334444, 95.25296154,\n", - " 95.44984545, 95.9973068 , 95.24943221, 93.41388008,\n", - " 88.13443166, 95.63620639, 83.46228769, 90.55664721,\n", - " 91.73761243, 83.21043734, 80.88727561, 137.05998412,\n", - " 88.40233441, 94.24497807, 87.5270883 , 96.48389341,\n", - " 75.22125901, 58.44381068, 38.53062433, 80.94601444,\n", - " 89.63679628, 118.78018362, 100.04117662, 100.56510551,\n", - " 85.01059358, 46.4522373 , 71.186565 , 95.75022873,\n", - " 86.60966337, 67.52264387, 106.73620888, 103.00488927,\n", - " 96.05244469, 94.51890933, 54.82673597, 95.45522209,\n", - " 83.77131659, 93.39193738, 94.84532219, 97.76779675,\n", - " 90.49417257, 87.79693325, 87.76368406, 76.52304316,\n", - " 57.15363925, 93.59274539, 78.83782736, 72.7330313 ,\n", - " 103.81439282, 102.50346181, 56.7932412 , 62.55212099,\n", - " 84.44866692, 94.01205033, 90.35170512, 88.59184454,\n", - " 88.60610337, 92.86038579, 85.90159007, 92.67087031,\n", - " 91.85064433, 96.18568098, 98.89704388, 71.04065989,\n", - " 95.05565306, 69.74772632, 53.46762928, 96.07394206,\n", - " 78.39863189, 71.05950929, 103.0214429 , 55.57233435,\n", - " 117.72072721, 119.68640055, 93.30033013, 88.10089162,\n", - " 87.24027052, 94.11553767, 84.58176423, 94.41398763,\n", - " 93.92014903, 93.34025248, 85.1543969 , 110.63796906,\n", - " 40.4102299 , 41.7369175 , 72.40961243, 96.5520134 ,\n", - " 82.9986995 , 42.37200469, 55.37988029, 103.83690211,\n", - " 94.97099044, 97.75218447, 89.42415601, 42.41556715,\n", - " 94.22368965, 84.86319582, 97.67377476, 84.98769896,\n", - " 96.40451755, 92.74569115, 87.97313481, 95.98799612,\n", - " 73.22894601, 62.57396591, 95.10537902, 89.09645719,\n", - " 97.72692472, 125.28806858, 83.41546067, 91.20203458,\n", - " 59.13949381, 46.19687501, 97.02392371, 101.60409628,\n", - " 95.10112663, 95.58752939, 83.13013178, 87.69681319,\n", - " 85.7098773 , 84.54873463, 85.2355445 , 114.46551034,\n", - " 103.92933509, 102.07999517, 76.18248387, 50.21386446,\n", - " 50.44925577, 90.51491486, 85.76788923, 98.15669653,\n", - " 93.96525329, 41.65959492, 41.91615202, 66.19272502,\n", - " 97.60141349, 95.95095753, 75.89072201, 99.78743394,\n", - " 97.16927723, 100.82146565, 86.62916509, 74.53943911,\n", - " 90.3668024 , 96.27058917, 96.66346687, 96.05351463,\n", - " 95.75701614, 94.25331681, 103.64691575, 97.47454312,\n", - " 82.35577438, 103.08330761, 72.25125677, 92.23453439,\n", - " 93.34039813, 97.39817405, 92.28984417, 95.72174855,\n", - " 103.64213282, 89.00367261, 137.1186434 , 116.01177014,\n", - " 133.89719283, 112.97851725, 91.51616561, 90.57957943,\n", - " 82.89836259, 95.28661702, 96.31645917, 95.05986037,\n", - " 110.56032996, 96.38960673, 95.44440829, 65.54446445,\n", - " 126.28973215, 85.37502135, 87.22647497, 91.71091762,\n", - " 88.14485755, 51.2916006 , 116.25363296, 91.2633225 ,\n", - " 83.46046067, 72.79844804, 81.9672967 , 85.28978798,\n", - " 86.45724542, 87.40099314, 125.835576 , 95.38036966,\n", - " 92.59778087, 88.24545916, 45.36145238, 91.11452366,\n", - " 94.46664366, 87.10776318, 79.20872749, 70.24281057,\n", - " 52.00412788, 87.73267531, 81.46746828, 87.674561 ,\n", - " 94.23064591, 93.45312825, 92.42462062, 93.58705846,\n", - " 94.33827982, 99.98114834, 100.57944888, 72.76948105,\n", - " 99.85614913, 93.89943817, 81.05799767, 80.41439659,\n", - " 113.37206234, 96.04128031, 78.04183929, 98.01569328,\n", - " 132.61187495, 84.66221123, 87.04607211, 93.62019924,\n", - " 83.72079465, 93.32232078, 83.1411289 , 97.25475147,\n", - " 122.37056931, 89.0535551 , 98.56260881, 86.81363904,\n", - " 88.6334989 , 86.03794527, 89.14180459, 88.42152274,\n", - " 79.38016103, 96.50272183, 78.92254606, 97.35473869,\n", - " 102.47528198, 91.81958684, 91.75773541, 85.93074859,\n", - " 86.79981681, 91.95951544, 84.96711758, 92.35262465,\n", - " 95.62676292, 84.02840875, 63.76383411, 87.65704975,\n", - " 92.97059951, 90.65296361, 110.04818985, 105.45494791,\n", - " 95.45140096, 61.75558023, 89.75998671, 87.47077163,\n", - " 102.791074 , 125.25962638, 79.44553811, 138.94375451,\n", - " 88.79209615, 69.927527 , 68.18189129, 133.44247243,\n", - " 89.53673592, 87.34912852, 103.18824051, 95.59474883,\n", - " 50.20705524, 49.80629444, 102.34623429, 92.84357979,\n", - " 88.28426511, 95.98612005, 100.49024466, 113.2433081 ,\n", - " 101.18224249, 134.10043106, 70.08391533, 95.42218027,\n", - " 95.44010924, 100.52246725, 86.76319282, 102.63004227,\n", - " 96.40687943, 87.26759348, 91.43878108, 93.62792988,\n", - " 98.22073153, 84.37642053, 82.87599092, 89.49469515,\n", - " 81.33800032, 84.12498591, 70.11937702, 88.50780239,\n", - " 88.55384756, 88.13127567, 96.87964213, 103.00044241,\n", - " 53.95078614, 70.574525 , 97.7421944 , 49.7024549 ,\n", - " 62.58085428, 83.53851248, 88.30619292, 69.19717931,\n", - " 81.02385254, 81.02358733, 102.6410265 , 85.78340675,\n", - " 83.95206311, 95.04578918, 94.44857179, 66.94485064,\n", - " 61.49842407, 96.35376485, 95.92236852, 81.48419003,\n", - " 58.16365837, 95.28547125, 97.08947752, 82.10347304,\n", - " 115.6137419 , 85.96320533, 95.97259711, 80.99815027,\n", - " 102.52366325, 65.08460858, 60.99393727, 100.28452137,\n", - " 68.97901083, 91.85814975, 89.5189003 , 48.76265248,\n", - " 98.3486815 , 77.25655879, 101.77219699, 97.80204326,\n", - " 84.65513311, 92.83441165, 115.44242086, 50.29391998,\n", - " 61.8205725 , 93.40662633, 52.51679967, 78.25186546,\n", - " 55.56490276, 89.25566047, 67.16464187, 89.76860696,\n", - " 122.83526667, 81.96450315, 68.41147505, 74.11641845,\n", - " 87.09614316, 86.79536559, 83.31872162, 52.96651832,\n", - " 96.24488313, 64.45839244, 87.0459136 , 94.89955764,\n", - " 100.47536717, 99.44268326, 87.53252826, 73.93249125,\n", - " 95.45253783, 90.31162659, 97.3861613 , 44.65240103,\n", - " 110.44133437, 89.62552747, 84.79648237, 85.04548081,\n", - " 75.20854643, 95.27101218, 90.20744274, 89.17167965,\n", - " 64.82067058, 100.13916863, 136.21121092, 87.60210036,\n", - " 68.92391417, 83.11054972, 96.42759212, 98.19653843,\n", - " 53.56699892, 70.3367175 , 73.41691085, 79.15324728,\n", - " 89.05465825, 75.99482995, 96.03455322, 88.09160034,\n", - " 78.04462023, 82.01439642, 95.20406613, 87.90172697,\n", - " 107.63774059, 85.48321878, 61.68223664, 84.63676495,\n", - " 97.40938346, 42.76609674, 53.88846514, 86.37884144,\n", - " 85.18011771, 85.18198914, 66.76641066, 100.02834999,\n", - " 67.04941316, 82.56514487, 86.73295154, 87.43426204,\n", - " 101.17279532, 68.50660688, 87.26034688, 49.103959 ,\n", - " 83.00459471, 80.36766123, 72.07818199, 97.23259031,\n", - " 55.49114487, 60.68244112, 82.54902827, 48.55010728,\n", - " 93.32212489, 103.73338942, 93.96267392, 93.44591295,\n", - " 93.92013756, 102.63085468, 53.30420167, 103.98166029,\n", - " 80.84737294, 104.9179589 , 100.17452801, 84.46869979,\n", - " 82.57592068, 88.75659537, 84.61359433, 82.32988672,\n", - " 77.11834691, 88.38064344, 79.89658595, 96.1493844 ,\n", - " 137.72874239, 48.27701832, 94.59185157, 133.39324571,\n", - " 105.3391164 , 81.14034874, 95.45140063, 96.02128026,\n", - " 49.47472205, 95.54234465, 86.72919583, 58.22287034,\n", - " 90.36251082, 57.87613637, 87.39360029, 84.74096096,\n", - " 92.35625352, 103.13666604, 120.54686814, 102.69021966,\n", - " 77.10489379, 85.78931685, 84.3956463 , 93.21571674,\n", - " 87.65193019, 81.09318094, 112.08487021, 86.56813493,\n", - " 107.33366771, 88.03536685, 85.72166685, 86.40641478,\n", - " 88.80908253, 95.18836241, 85.06163885, 85.09456783,\n", - " 102.27916805, 92.26014106, 90.46116903, 97.60302271,\n", - " 72.03649141, 131.43285847, 91.24554961, 75.77909741,\n", - " 68.35020969, 83.86930836, 88.10346865, 46.99408478,\n", - " 95.764909 , 126.75568618, 83.17098156, 91.91339425,\n", - " 70.98394053, 85.54716553, 87.03412448, 89.86742009,\n", - " 93.65149569, 50.77958897, 90.49979402, 96.45703294,\n", - " 62.46534175, 89.19302973, 85.8264173 , 87.61806972,\n", - " -1.6634491 , 59.39819608, 52.4556312 , 114.26126962,\n", - " 80.96085011, -0.43098613, -0.79492481, 103.4325831 ,\n", - " 57.92688902, 63.45838206, 84.59979277, 14.72782335,\n", - " 27.98001252, 117.63115354, 78.11169033, 39.99 ,\n", - " 141.4078943 , 140.32977295, 1.72776122, 140.08894194,\n", - " 142.55035944, 62.13118709, 153.18576086, 97.83603754,\n", - " 97.44521804, -0.45839359, 169.05690889, 22.6245281 ,\n", - " 48.40375053, 159.43079098, 119.780213 , 107.7731253 ,\n", - " 78.11169035, 73.09840593, 139.99 , 140.32977316,\n", - " 0. , 0. , 56.42292543, 74.43262956,\n", - " 46.194113 , 64.28529793, 28.38152825, 42.31905477,\n", - " 26.77547469, 34.08231998, 53.93666649, 45.11559292,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 68.71100057, 85.54702071, 83.57193062, 57.17275394,\n", - " 96.46455393, 96.52673759, 97.47432739, 94.7805101 ,\n", - " 77.28208805, 45.15770551, 95.29594288, 96.62365422,\n", - " 80.72366088, 89.4100882 , 89.51717698, 91.01743477,\n", - " 71.68821973, 74.97385224, 76.57454001, 87.65468557,\n", - " 91.69942187, 90.70733601, 87.24023156, 70.47148121,\n", - " 97.14049067, 95.7848522 , 87.10011702, 84.83572243,\n", - " 58.38349183, 143.98116393, 95.85211415, 87.22012274,\n", - " 91.47439658, 54.07180037, 88.40740663, 60.21461146,\n", - " 80.20386766, 70.6461282 , 36.61530275, 51.11045001,\n", - " 83.83301298, 86.18098418, 87.43070686, 81.17138089,\n", - " 97.30047419, 64.54647931, 86.80331507, 70.75077935,\n", - " 97.34104266, 93.61165049, 95.11149647, 94.2737023 ,\n", - " 91.09008704, 97.14574935, 61.96058764, 94.3798412 ,\n", - " 94.18885765, 107.81239584, 92.50058837, 54.3182708 ,\n", - " 81.86143385, 74.182668 , 61.71938274, 61.64721129,\n", - " 72.16713352, 78.6035247 , 59.04856817, 56.66992895,\n", - " 83.62240845, 363.50822155, 71.11717284, 78.95359424,\n", - " 88.00549053, 88.53753961, 83.07316063, 76.85145353,\n", - " 28.58113785, 87.43269825, 83.82031126, 60.95602259,\n", - " 41.4490983 , 97.85183121, 85.86659752, 98.35714667,\n", - " 92.35683295, 92.08554293, 84.88970742, 88.30728554,\n", - " 88.34829034, 41.69496025, 36.17649738, 70.7797413 ,\n", - " 69.76839005, 67.86810698, 96.15986378, 82.28133138,\n", - " 96.65182982, 96.66153574, 31.27080916, 66.40356035,\n", - " 98.55160421, 119.20982557, 80.44066372, 103.89226076,\n", - " 87.66936585, 87.21825451, 61.96486688, 90.73184517,\n", - " 93.29815781, 89.77373122, 92.07645091, 87.78924399,\n", - " 133.75748256, 71.17630283, 60.24453319, 135.58149583,\n", - " 95.10023769, 113.50022467, 106.56014896, 138.1756905 ,\n", - " 105.68253099, 64.4926722 , 65.99375793, 73.22970071,\n", - " 76.50247413, 142.89283261, 78.68719366, 78.21109249,\n", - " 92.99235431, 90.41364563, 91.13223048, 83.67189048,\n", - " 91.23128859, 90.92542137, 66.56192103, 68.76425294,\n", - " 83.0729579 , 94.73389029, 95.77152087, 95.77387518,\n", - " 90.63329757, 88.50395562, 63.4646339 , 70.77481151,\n", - " 87.98421908, 95.08375524, 94.937182 , 67.27902855,\n", - " 66.03064852, 113.72828232, 72.42860482, 69.16395438,\n", - " 130.92791057, 95.70212491, 99.76854038, 87.56472339,\n", - " 82.84989501, 83.63126153, 93.36700912, 42.90437834,\n", - " 43.73429276, 96.24201864, 68.92376297, 64.54669843,\n", - " 71.62609716, 71.62461427, 130.12888877, 112.41022386,\n", - " 82.74733404, 94.81908002, 81.71673447, 87.30803398,\n", - " 83.38961108, 73.38686857, 61.90430627, 96.2962108 ,\n", - " 97.03698244, 74.26817167, 74.17559263, 93.52468112,\n", - " 97.16889517, 80.75745534, 89.06562507, 91.59664107,\n", - " 89.55004065, 51.16957264, 77.2214825 , 71.89544927,\n", - " 76.01687169, 63.63836484, 60.58876259, 89.04394479,\n", - " 53.03243209, 92.44564175, 95.68891955, 96.57327833,\n", - " 81.59464957, 85.72347829, 90.03350678, 90.64909529,\n", - " 96.82235524, 93.76519923, 86.32612892, 88.77600944,\n", - " 130.4278092 , 87.63259062, 87.52710635, 79.79219317,\n", - " 90.22775632, 95.47536121, 96.01887509, 90.44824824,\n", - " 87.68259416, 119.81983385, 87.16412661, 68.93608694,\n", - " 97.13692505, 97.13758596, 86.02265465, 85.44365279,\n", - " 80.44421677, 51.46152492, 74.681639 , 105.81298678,\n", - " 80.60264809, 88.62812641, 74.31417812, 73.71864689,\n", - " 84.79516698, 81.7075572 , 69.58721713, 75.13973021,\n", - " 103.34792865, 101.68505761, 94.84834999, 86.83549319,\n", - " 70.20091673, 86.54377675, 91.86063133, 99.75886438,\n", - " 96.62095787, 95.42202288, 83.82255421, 95.3362206 ,\n", - " 92.5469786 , 103.65863019, 55.93685103, 45.06395571,\n", - " 54.1416181 , 86.15739324, 85.00463101, 142.07502135,\n", - " 89.76624024, 84.66919425, 94.08056237, 97.18944685,\n", - " 87.82854458, 95.58629208, 88.19178857, 62.81744881,\n", - " 64.33071953, 91.54656312, 83.25956561, 77.03856534,\n", - " 88.92503456, 48.60592009, 48.96241721, 59.58257442,\n", - " 95.8935942 , 127.7778564 , 74.995523 , 80.7074673 ,\n", - " 92.1848893 , 72.51227042, 72.29971131, 84.85887493,\n", - " 87.40336723, 80.89871523, 88.95953972, 86.060888 ,\n", - " 67.31898971, 89.80113988, 89.50723266, 88.37978447,\n", - " 92.89304519, 74.97234866, 87.58338136, 74.55818664,\n", - " 62.13050079, 60.35085103, 140.72282474, 108.89389038,\n", - " 54.67721452, 56.62048041, 116.59568196, 104.61701676,\n", - " 70.63343237, 108.40668552, 55.9169403 , 61.12805612,\n", - " 84.69976669, 89.37589565, 80.92317465, 94.13880586,\n", - " 96.61828972, 69.09664056, 71.99029985, 93.75715903,\n", - " 97.71997714, 93.25916717, 87.58979099, 94.69750113,\n", - " 66.86108739, 66.44026423, 136.77664089, 137.04362095,\n", - " 93.02094497, 58.55098998, 87.31608367, 80.95323036,\n", - " 71.61613093, 87.81209215, 58.88372341, 58.33764166,\n", - " 83.73327763, 64.26834775, 86.56565397, 100.71537033,\n", - " 91.52727475, 92.70903613, 92.71573012, 123.45651117,\n", - " 86.78091175, 87.26985234, 77.99929666, 76.3069568 ,\n", - " 130.94321355, 127.68277044, 96.43584069, 89.68702452,\n", - " 100.91396362, 85.92842573, 129.76090192, 103.59408103,\n", - " 89.95397487, 89.63643296, 93.24244116, 81.67437378,\n", - " 72.55755056, 48.59085838, 92.53902641, 94.2984634 ,\n", - " 65.13961595, 87.09490265, 88.4929506 , 90.94761048,\n", - " 132.97613089, 127.82626808, 95.52052521, 85.1026839 ,\n", - " 90.12869066, 88.41885644, 94.5695942 , 93.38787173,\n", - " 96.24239954, 122.54406227, 132.94480751, 94.65272328,\n", - " 94.84898054, 95.37001623, 94.62206429, 92.79471188,\n", - " 87.58979977, 95.03720763, 82.86891977, 76.10977534,\n", - " 91.13879697, 82.61145196, 80.41873969, 136.5914482 ,\n", - " 86.62074873, 93.6360937 , 86.96409013, 95.94119808,\n", - " 74.59741466, 57.81996633, 24.08375246, 80.32191519,\n", - " 89.00994375, 118.3116477 , 91.80216513, 92.38368724,\n", - " 84.48251671, 45.88923913, 70.65848813, 95.15155419,\n", - " 86.01098884, 67.53700327, 106.75056828, 90.6900511 ,\n", - " 95.44457024, 93.91103487, 54.20848508, 94.85428481,\n", - " 81.98973225, 93.4368127 , 94.35952461, 97.11541664,\n", - " 89.91633211, 87.22889663, 87.19562114, 75.93710474,\n", - " 56.55465318, 93.02366369, 78.2312396 , 70.95144697,\n", - " 93.97330224, 92.72840753, 54.98138615, 60.74400702,\n", - " 83.83400796, 93.36122261, 88.5701317 , 88.02416886,\n", - " 88.03815325, 92.25147615, 85.26963735, 92.07269576,\n", - " 91.26106119, 96.17761056, 84.45017201, 56.59378802,\n", - " 94.42837784, 69.12388196, 52.8642564 , 95.45474156,\n", - " 77.8425055 , 70.42746881, 72.00545215, 55.05788762,\n", - " 117.73712266, 119.70279601, 93.2842716 , 87.4820475 ,\n", - " 86.62163831, 93.51443031, 82.80017992, 93.81288027,\n", - " 92.13857088, 91.55867434, 84.61947542, 110.61573715,\n", - " 39.84313832, 41.16982592, 71.76443792, 95.982553 ,\n", - " 81.21711519, 41.80905636, 53.59829596, 72.82091136,\n", - " 94.37075901, 88.32832836, 58.79544247, 11.7868536 ,\n", - " 93.5760913 , 84.22721633, 97.05342537, 84.36009715,\n", - " 89.01088669, 92.12862797, 87.35658914, 95.38012149,\n", - " 72.60510166, 61.95012156, 94.56646332, 88.58864078,\n", - " 97.10202477, 125.30242797, 82.86081049, 90.64738439,\n", - " 58.51264128, 45.57002249, 96.40875944, 92.45466691,\n", - " 94.4381685 , 94.92457126, 82.51014248, 87.12773149,\n", - " 85.25174956, 83.9276181 , 84.61442797, 114.44672113,\n", - " 72.85689661, 71.00755668, 75.61539229, 49.59002011,\n", - " 49.82541142, 89.85518682, 85.15436753, 97.4937384 ,\n", - " 92.1837107 , 41.0606088 , 41.31716588, 65.59373823,\n", - " 96.96978579, 95.33009844, 51.03363215, 89.75907981,\n", - " 96.54753828, 90.79311152, 76.60081096, 73.94045304,\n", - " 89.74820911, 95.66595199, 96.05901735, 95.42947804,\n", - " 95.13868511, 63.23732606, 103.17837983, 96.85392528,\n", - " 81.74085611, 103.12818294, 70.45169391, 91.60678517,\n", - " 92.71656647, 71.78529868, 91.67630064, 95.23753741,\n", - " 72.79890514, 88.45422802, 136.65869602, 116.0281656 ,\n", - " 133.89719283, 112.97851725, 61.02335119, 60.05881521,\n", - " 82.29875973, 94.67030459, 95.69869751, 94.44379969,\n", - " 110.55225949, 95.77162796, 94.84361669, 63.74490159,\n", - " 125.82119523, 84.76135808, 86.68780125, 89.9293333 ,\n", - " 87.51528743, 50.66750136, 116.25363296, 90.70032432,\n", - " 82.91485003, 72.1908249 , 81.37699532, 84.65759114,\n", - " 85.8250759 , 86.85007374, 125.82752513, 94.83654261,\n", - " 91.97925493, 87.68246098, 44.74538442, 90.5249901 ,\n", - " 93.82113009, 86.47072452, 78.63885218, 69.61896622,\n", - " 51.38028353, 87.10139939, 50.45147753, 87.20602408,\n", - " 92.44906159, 91.67155562, 91.82351326, 84.37214416,\n", - " 85.12336552, 87.66631017, 88.26461071, 72.30094413,\n", - " 87.25683377, 81.30012281, 80.55861977, 78.63281227,\n", - " 113.36550848, 96.03472645, 77.4857129 , 83.56882141,\n", - " 132.6282704 , 84.02734077, 86.39841333, 92.9911662 ,\n", - " 83.09176161, 92.63831942, 82.60605602, 96.57075012,\n", - " 122.36401545, 88.63329892, 90.40696832, 86.20011734,\n", - " 88.01997721, 85.41920376, 88.69587264, 87.9755908 ,\n", - " 78.82403463, 95.95891537, 78.36641967, 88.03469581,\n", - " 71.45929123, 61.19072515, 91.15896756, 85.31722689,\n", - " 86.18629512, 91.38271723, 83.18553327, 90.57104032,\n", - " 95.06105477, 82.24682444, 61.98224979, 85.87546543,\n", - " 92.3478983 , 90.03026241, 109.57965292, 105.49982323,\n", - " 94.85051503, 59.94746626, 89.20481253, 86.93408153,\n", - " 92.76271987, 125.25962638, 64.99866624, 138.94375451,\n", - " 88.78402569, 69.31023698, 67.56460127, 133.44247243,\n", - " 88.98203277, 86.69667934, 102.71970358, 95.12621191,\n", - " 49.58321089, 49.18245008, 87.89936242, 92.24395313,\n", - " 87.63817665, 95.38741906, 100.47375168, 113.23523753,\n", - " 70.16625174, 134.10043106, 69.55488857, 94.82168918,\n", - " 94.83937568, 92.34105116, 86.11564962, 71.61405152,\n", - " 95.79592459, 86.65407179, 90.77463403, 93.02688328,\n", - " 97.5178034 , 82.59483622, 82.27638657, 88.89506977,\n", - " 80.72307048, 83.51005608, 68.33779269, 87.87724863,\n", - " 87.91800324, 87.49799525, 96.26923637, 71.98445166,\n", - " 53.33619139, 69.96086173, 97.78706973, 49.07861054,\n", - " 62.03524364, 82.9578228 , 87.70493111, 68.61648963,\n", - " 80.52447465, 80.52420943, 71.62503575, 85.15950898,\n", - " 83.33346601, 94.44552933, 93.84831194, 66.31279401,\n", - " 60.86636744, 95.75476461, 95.29517071, 79.70260571,\n", - " 57.55911566, 94.60388077, 87.9259101 , 80.32188872,\n", - " 115.6137419 , 84.18161909, 87.8253099 , 80.34570108,\n", - " 94.34224497, 39.90704142, 60.35856403, 99.81598444,\n", - " 68.38870945, 91.26605967, 88.94311267, 48.26327459,\n", - " 90.19304102, 76.6041096 , 101.77219699, 85.93319545,\n", - " 84.01908557, 61.8184209 , 115.44242086, 40.04939116,\n", - " 61.22158571, 92.81630373, 51.89295532, 77.78332853,\n", - " 54.93533263, 74.8087886 , 52.71777 , 87.98702882,\n", - " 122.36673075, 81.94801017, 67.79418504, 73.64788152,\n", - " 86.46450723, 86.84024091, 81.53713731, 52.38866071,\n", - " 95.64619248, 63.84110242, 85.26432929, 94.94443296,\n", - " 92.29395109, 91.26126717, 86.899044 , 73.28004207,\n", - " 94.85163662, 89.69810489, 87.97552476, 44.05341496,\n", - " 110.43478051, 89.61745541, 84.18296068, 84.43195911,\n", - " 75.19205345, 94.68299276, 90.22180213, 88.7257477 ,\n", - " 64.81259847, 91.95775255, 136.21121092, 86.97352369,\n", - " 68.32492806, 82.51071214, 95.83992717, 98.18998457,\n", - " 51.75514387, 69.69052522, 71.61734798, 78.53488318,\n", - " 88.44190067, 75.98675788, 88.10425566, 87.4609053 ,\n", - " 77.42179857, 80.23281209, 94.73552921, 87.2851813 ,\n", - " 107.55002964, 84.86969709, 59.90065233, 84.01286719,\n", - " 96.80151 , 42.14773264, 53.27387039, 85.76494238,\n", - " 84.5485581 , 84.56846745, 66.16742387, 69.01235924,\n", - " 67.09428848, 81.95022659, 86.10328076, 85.65267635,\n", - " 93.24249777, 67.89124368, 86.64644782, 47.29210395,\n", - " 82.53605779, 78.58607498, 72.09254139, 90.24092867,\n", - " 53.70956054, 60.06866176, 81.94946823, 47.98023198,\n", - " 92.7091356 , 95.1004485 , 93.29971579, 92.93548199,\n", - " 92.13855942, 71.61486393, 52.69873393, 72.90890634,\n", - " 80.24781289, 104.96283422, 69.15853726, 83.87756507,\n", - " 81.97631578, 63.14372 , 84.01399269, 81.73028508,\n", - " 76.56222051, 87.78036526, 79.29630777, 95.58030269,\n", - " 137.72874239, 46.46516327, 63.57586082, 132.93329834,\n", - " 105.3391164 , 80.58422235, 94.85051469, 64.77984617,\n", - " 48.85743203, 94.97326294, 61.26554789, 58.23722974,\n", - " 89.79847728, 57.26954861, 86.79343364, 84.19510155,\n", - " 91.74215113, 93.29557546, 120.54686814, 93.04291446,\n", - " 76.5487674 , 60.17644148, 83.77701492, 92.61489722,\n", - " 85.87034395, 79.31159469, 112.07679792, 86.01455517,\n", - " 107.33366771, 86.25378146, 85.09466047, 85.77424526,\n", - " 88.20945538, 64.11592393, 84.46053149, 84.49346048,\n", - " 92.95649482, 91.6687721 , 89.90297614, 96.99515009,\n", - " 71.59055947, 131.44925393, 90.64592245, 75.18011137,\n", - " 67.75122366, 83.268297 , 87.63493172, 47.0389601 ,\n", - " 95.18918514, 126.77208163, 82.57137721, 89.83820341,\n", - " 70.37041883, 84.93364383, 86.42060278, 59.23870654,\n", - " 93.08903967, 25.60202181, 89.87919924, 95.86937242,\n", - " 62.49629604, 87.41144542, 85.21275403, 87.00440645,\n", - " -1.6634491 , 58.86998949, 50.64066958, 113.69099416,\n", - " 80.46248694, -0.43102707, -0.79496762, 96.2871553 ,\n", - " 57.41995254, 62.87344647, 84.00373271, 14.45138915,\n", - " 2.84690537, 117.62308125, 77.64315441, 39.99 ,\n", - " 139.53348771, 139.83847072, 1.72776122, 139.59694776,\n", - " 140.67731811, 61.5545441 , 153.09804991, 97.16145765,\n", - " 96.74250687, -0.45983054, 169.03420681, 22.0239633 ,\n", - " 47.80891511, 159.38988209, 119.7171531 , 107.76505488,\n", - " 77.64315443, 73.13452622, 139.53348734, 139.83847093,\n", - " 0. , 0. , 56.45819591, 74.42240538,\n", - " 46.194113 , 64.28529793, 28.42759975, 42.31905477,\n", - " 26.77547469, 34.12349475, 53.88641518, 45.07144343,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 73.70440055, 110.77860939, 86.39973929, 60.02354892,\n", - " 96.64953559, 96.78125597, 97.72830058, 94.85145251,\n", - " 77.59777227, 45.47677428, 95.61074799, 96.93536184,\n", - " 92.57923759, 89.49339932, 89.70965106, 91.20990894,\n", - " 74.88775372, 77.01567867, 76.83033505, 87.9104109 ,\n", - " 91.77110121, 90.77641815, 87.43504571, 77.85291626,\n", - " 97.44545293, 96.07754886, 87.29572547, 87.02749275,\n", - " 60.63981086, 144.93833179, 99.84656785, 89.3206511 ,\n", - " 93.5749033 , 54.36700233, 89.48851824, 60.5098108 ,\n", - " 80.5785883 , 71.02121232, 36.91051231, 51.40565545,\n", - " 85.03226606, 87.38035302, 88.53430368, 82.99316506,\n", - " 97.55622266, 64.64455827, 90.83646371, 71.08652718,\n", - " 97.5928729 , 118.88165256, 95.19123912, 94.3771349 ,\n", - " 91.32347937, 97.39784894, 63.16303547, 95.57315656,\n", - " 95.38263987, 115.06977314, 92.47554562, 61.57966815,\n", - " 84.04103205, 79.49454721, 70.54165803, 70.47884124,\n", - " 72.4623128 , 78.90059713, 66.52731677, 64.19973953,\n", - " 83.91743468, 364.53917205, 71.41231351, 79.24881455,\n", - " 89.66598454, 90.19803362, 85.17492977, 80.88663077,\n", - " 32.61652554, 89.90812038, 86.41928234, 69.78072463,\n", - " 42.24101477, 106.61837133, 94.63327464, 98.69343067,\n", - " 94.39010788, 94.0325372 , 85.18471407, 90.61086584,\n", - " 90.66836085, 41.99017363, 36.47170876, 78.16115498,\n", - " 70.0635353 , 68.16328438, 104.86676061, 90.98830168,\n", - " 96.90393 , 96.91363592, 38.29939173, 73.43180982,\n", - " 113.89485749, 129.58911275, 84.87455089, 114.27290384,\n", - " 87.99823074, 87.54773397, 70.79118519, 92.99778926,\n", - " 94.29329168, 90.80750928, 94.22522999, 89.93847512,\n", - " 142.86425992, 79.33452087, 68.39353489, 145.36742496,\n", - " 97.24898506, 114.86673682, 107.92689717, 146.5757153 ,\n", - " 115.46906237, 73.07880705, 74.60612964, 81.93783085,\n", - " 85.17900626, 143.76046571, 85.00092888, 84.52586558,\n", - " 103.48703468, 102.37672626, 92.32383457, 84.87086013,\n", - " 93.47188578, 93.17118872, 75.4374543 , 77.61151091,\n", - " 87.89205758, 95.91112874, 95.9523968 , 95.95495612,\n", - " 91.75725857, 89.64597553, 71.42055934, 79.46454706,\n", - " 90.30881425, 95.37915683, 95.22996379, 72.09813812,\n", - " 73.40961366, 115.24789584, 79.80872057, 70.21214638,\n", - " 140.38688883, 123.81642592, 109.02005124, 89.71722492,\n", - " 84.80921774, 85.56093355, 93.65999425, 43.46312182,\n", - " 44.35726247, 96.42598354, 76.87284017, 72.53777163,\n", - " 80.3340406 , 80.33357851, 131.67709331, 113.92140582,\n", - " 84.71490584, 95.11206795, 82.82877304, 88.42007509,\n", - " 85.38452915, 73.68208231, 62.19959732, 96.5418397 ,\n", - " 97.27750154, 74.56331618, 74.47075509, 94.47828586,\n", - " 97.46192262, 81.88847509, 90.190098 , 93.68116033,\n", - " 91.64103182, 51.68144209, 80.48571782, 75.16248584,\n", - " 77.57846696, 65.19995492, 60.77861761, 89.27318738,\n", - " 53.20574085, 94.11608496, 97.37080996, 96.64452626,\n", - " 84.77858535, 88.90741429, 115.12987888, 90.88068291,\n", - " 97.06324995, 121.87060333, 86.58751086, 89.86504947,\n", - " 131.72419155, 87.95798809, 87.8534424 , 81.61586175,\n", - " 92.05375018, 95.72038593, 96.26364365, 104.07814503,\n", - " 100.30004671, 122.2469949 , 91.2116736 , 74.0910605 ,\n", - " 97.45210124, 97.45253282, 100.42111383, 99.76917315,\n", - " 84.19325381, 55.22099579, 74.97683442, 114.92750709,\n", - " 83.86733378, 92.26339417, 74.60938896, 74.01386027,\n", - " 85.09010471, 82.83860338, 76.91636411, 82.13569329,\n", - " 113.65273406, 111.97676564, 95.94329372, 86.93043114,\n", - " 73.5744358 , 86.61470517, 92.17668247, 108.91538319,\n", - " 96.8673899 , 95.37486199, 83.77627737, 95.40916387,\n", - " 92.55329504, 113.98605732, 58.7877364 , 48.43963255,\n", - " 56.99252254, 85.98275724, 84.95812835, 143.03219785,\n", - " 103.58147258, 87.46028892, 94.25712464, 97.37426345,\n", - " 87.80021554, 95.87844764, 88.16324482, 65.09518547,\n", - " 66.608566 , 95.55385806, 87.26817643, 77.37541278,\n", - " 89.24543036, 51.46624127, 56.34212184, 66.9644272 ,\n", - " 96.02825965, 128.73359989, 75.16863638, 80.88057354,\n", - " 94.26891728, 81.35396955, 81.14145779, 85.68609725,\n", - " 87.72991658, 82.03783923, 99.46233655, 96.59736357,\n", - " 68.88057886, 90.8258233 , 90.53178831, 90.73435337,\n", - " 95.27003908, 74.92566092, 87.91206492, 74.51219449,\n", - " 62.42569294, 60.64604318, 141.91537354, 110.20602021,\n", - " 54.85033126, 56.79359574, 120.48086049, 108.59325934,\n", - " 71.4608843 , 122.53483358, 56.74816489, 66.2807348 ,\n", - " 88.0314354 , 92.70756527, 82.84471899, 94.09164433,\n", - " 96.57112043, 77.04459057, 79.95713409, 93.93737245,\n", - " 113.03345849, 93.43885308, 87.84569155, 94.94184275,\n", - " 67.03432563, 66.61350398, 138.76883074, 139.03887447,\n", - " 93.19847778, 59.37844321, 89.43070433, 81.12633983,\n", - " 80.33093497, 88.14157161, 62.81673175, 62.06910346,\n", - " 84.93246396, 73.05856437, 86.89492089, 101.92542614,\n", - " 91.69839123, 92.8808986 , 92.88943655, 133.72385563,\n", - " 86.95380345, 87.45677359, 78.29451534, 76.60217551,\n", - " 140.41050859, 137.15050642, 96.6185003 , 90.01640569,\n", - " 109.63326213, 94.65302489, 140.07548954, 113.91654813,\n", - " 90.04193443, 89.72175028, 93.38319377, 93.64449432,\n", - " 76.59298704, 52.62629664, 93.22483233, 94.3070689 ,\n", - " 77.75821968, 87.16176728, 88.52525449, 91.18045093,\n", - " 143.07586051, 137.7178041 , 95.63503121, 85.27564463,\n", - " 90.21826339, 88.49902267, 94.65063239, 93.56733611,\n", - " 96.44345631, 126.05031318, 136.46953185, 95.76748934,\n", - " 95.94816102, 95.59215388, 94.84399153, 92.97418608,\n", - " 87.66609595, 95.33201714, 84.43050458, 80.14510074,\n", - " 91.43292286, 82.90659668, 83.11440147, 139.28875063,\n", - " 88.7083393 , 104.13167882, 89.7899227 , 96.01977439,\n", - " 82.54010332, 65.89487141, 28.11919386, 88.18172805,\n", - " 93.738782 , 120.86968456, 93.82938221, 94.39345057,\n", - " 88.3701352 , 48.78982285, 74.56545246, 95.44451017,\n", - " 86.30395528, 73.8930903 , 113.12461045, 94.0217208 ,\n", - " 95.7595261 , 94.22599074, 54.52908262, 95.95162537,\n", - " 84.24505796, 95.3447399 , 94.36478391, 97.36860289,\n", - " 92.17559668, 87.33432839, 87.30101232, 89.59042535,\n", - " 56.84994512, 121.13245845, 79.05861693, 73.22503489,\n", - " 96.44958049, 95.20401613, 62.44414954, 67.55889921,\n", - " 84.16995844, 93.61454509, 90.66670913, 88.13015124,\n", - " 88.14371758, 92.56708263, 85.46353555, 92.2236337 ,\n", - " 91.4001202 , 111.49359186, 88.48366303, 60.62728154,\n", - " 94.64870566, 77.28210603, 61.41291371, 95.63573513,\n", - " 81.10565501, 70.62150834, 79.88886735, 59.19107038,\n", - " 119.05522172, 121.01385029, 94.42908128, 87.79107686,\n", - " 86.9287914 , 94.61163163, 85.09940968, 94.91008646,\n", - " 94.23940482, 93.65951595, 84.68165763, 111.80829768,\n", - " 42.71359588, 44.04442288, 73.84933871, 96.097059 ,\n", - " 83.51652611, 44.66540353, 55.97461466, 81.66081989,\n", - " 95.48569295, 90.71198861, 66.56711785, 19.55853026,\n", - " 93.82728517, 84.47183528, 97.23693686, 84.62051405,\n", - " 90.76777126, 92.30486306, 87.52832932, 95.69506819,\n", - " 80.75312407, 70.06518648, 94.6393751 , 88.61769534,\n", - " 97.29024033, 130.01468512, 85.96045084, 93.74702503,\n", - " 63.25457523, 50.316335 , 96.59141905, 94.75883888,\n", - " 94.70901701, 95.19540359, 90.99100361, 112.37030431,\n", - " 85.21606132, 92.26158198, 92.94950508, 115.96588581,\n", - " 80.65577319, 78.81121639, 78.43218802, 57.69941935,\n", - " 57.95173714, 90.12634364, 85.48374344, 97.76060265,\n", - " 94.26804954, 41.35582239, 41.61237934, 65.88893002,\n", - " 97.16423739, 95.51233074, 58.0661451 , 92.2361565 ,\n", - " 96.73129495, 93.27018505, 79.07749147, 74.23566652,\n", - " 90.04681328, 95.97311577, 96.36621998, 95.6779445 ,\n", - " 95.43023663, 72.07919351, 105.74235611, 97.03632587,\n", - " 82.07850418, 105.63576034, 75.76363354, 91.83038446,\n", - " 92.96879793, 79.2806565 , 91.98665723, 95.24072121,\n", - " 80.59498887, 88.53716051, 137.69077358, 117.39474975,\n", - " 144.0529714 , 123.16387906, 68.78401315, 67.82243713,\n", - " 83.32938013, 94.84891272, 95.87955117, 94.62220033,\n", - " 124.62176478, 95.95268257, 95.94465361, 69.05684232,\n", - " 129.44699674, 85.10227192, 86.75549219, 92.04540358,\n", - " 91.40928396, 58.77981397, 119.99855149, 93.52271413,\n", - " 98.24929226, 80.83666095, 83.20068863, 84.85190602,\n", - " 86.0193504 , 102.32718259, 132.57071714, 94.91626898,\n", - " 92.27443037, 90.50748629, 45.0919152 , 92.35540286,\n", - " 94.07042406, 86.71174341, 81.31386297, 77.80120458,\n", - " 59.59846597, 87.29432446, 59.29739384, 90.7548667 ,\n", - " 94.57184162, 93.76822523, 92.92071948, 86.69966207,\n", - " 87.45251766, 90.99798001, 91.59628062, 76.58658645,\n", - " 90.68192894, 84.72525185, 84.30759035, 80.75574295,\n", - " 115.59376872, 98.31464505, 80.75274923, 87.60432356,\n", - " 133.88494503, 84.27655189, 86.65063437, 96.95139528,\n", - " 87.25247391, 92.89145152, 86.04465964, 96.82306548,\n", - " 124.55735256, 88.55179514, 92.4156394 , 86.52950684,\n", - " 88.3493668 , 85.72870683, 88.64891436, 87.9286375 ,\n", - " 82.09110903, 96.04001413, 81.63349877, 90.38877063,\n", - " 79.25813539, 68.96240034, 91.45269171, 85.64661527,\n", - " 86.51568458, 105.8975546 , 85.30802027, 92.6875651 ,\n", - " 95.17027891, 84.36979399, 64.10521951, 87.99842571,\n", - " 92.60933979, 90.29170449, 113.21454162, 114.20514236,\n", - " 95.94916573, 66.76236215, 89.29693309, 90.42772438,\n", - " 95.23979349, 133.66078307, 69.03416868, 146.71247807,\n", - " 102.8544706 , 69.4833504 , 67.73771469, 143.64664214,\n", - " 89.07339866, 87.89230262, 106.7156181 , 99.12236218,\n", - " 57.7050527 , 57.30817062, 91.92680363, 93.26863804,\n", - " 87.88840892, 95.6805312 , 101.6568505 , 127.04874257,\n", - " 78.85875432, 143.89295352, 73.68955034, 95.93029158,\n", - " 95.94187846, 94.35081501, 86.3679837 , 80.330287 ,\n", - " 95.97072962, 86.98335158, 91.00735854, 93.51847238,\n", - " 97.77870028, 84.71757732, 83.30660374, 89.92007295,\n", - " 81.06074585, 83.84773145, 70.61593646, 88.14292026,\n", - " 88.16315158, 87.69375655, 96.44325479, 79.86630579,\n", - " 62.06189903, 70.3065537 , 106.9546085 , 57.24165992,\n", - " 77.37070413, 96.85721881, 88.01093263, 82.51670001,\n", - " 84.29695021, 84.29686757, 80.33370985, 85.45120663,\n", - " 83.64415312, 95.55978834, 94.96257095, 66.50686088,\n", - " 61.06047714, 96.04953275, 95.51416274, 81.82597067,\n", - " 66.14529406, 94.85453462, 90.23414545, 82.44485859,\n", - " 119.44575298, 86.27512895, 89.82424442, 81.54691144,\n", - " 96.35200941, 47.28117954, 63.55814892, 103.80799326,\n", - " 70.21242459, 91.40351166, 89.05957475, 52.03582487,\n", - " 92.20243284, 77.80532178, 112.06452951, 89.11713148,\n", - " 84.26347412, 69.70038711, 125.64661327, 42.52607741,\n", - " 61.51679507, 94.59298702, 60.42066605, 81.79198181,\n", - " 58.83454751, 78.8441164 , 56.75312628, 90.08777885,\n", - " 125.30527868, 83.1601612 , 67.96746267, 77.65679532,\n", - " 86.72663855, 95.55987353, 83.81645347, 66.79746417,\n", - " 95.9392067 , 64.01438009, 87.4254758 , 97.45506166,\n", - " 94.30371519, 93.27103129, 87.09495121, 74.48155706,\n", - " 95.94989767, 90.0274944 , 90.35569227, 44.34871603,\n", - " 112.65508829, 98.24463084, 84.51289752, 84.76253547,\n", - " 76.42778888, 94.82410373, 96.47505421, 88.67877517,\n", - " 73.17227345, 93.9693667 , 145.6741057 , 87.16266118,\n", - " 68.62014167, 83.63583705, 95.98138162, 100.44853005,\n", - " 59.21807049, 71.6300237 , 76.92932404, 78.84894088,\n", - " 88.76845001, 84.53476334, 90.03393119, 87.65302963,\n", - " 85.51249589, 82.48299044, 98.71379622, 87.45692148,\n", - " 110.02744003, 85.20029066, 62.18443999, 84.30456483,\n", - " 97.11652007, 42.46179248, 61.98449378, 86.09589619,\n", - " 84.81101306, 84.89906066, 66.46264793, 76.81120356,\n", - " 69.08928788, 82.28787472, 86.29396141, 87.74572534,\n", - " 95.17217509, 68.23233602, 86.97740169, 54.75506493,\n", - " 86.54474672, 80.67964076, 78.40663426, 91.90142261,\n", - " 56.02255971, 60.53153478, 83.08051465, 50.65524419,\n", - " 92.88285653, 97.24910333, 93.57444211, 92.96779059,\n", - " 94.23940125, 80.33054016, 61.32494119, 80.70777347,\n", - " 81.37885902, 117.07916215, 77.10703923, 85.59825673,\n", - " 83.00636628, 70.62247535, 85.04494324, 82.7612356 ,\n", - " 79.82925691, 88.62047925, 80.13642187, 123.68898112,\n", - " 146.06275786, 53.9306511 , 71.53178707, 133.96756314,\n", - " 115.16497747, 83.85130148, 95.94916563, 72.57871711,\n", - " 49.03054891, 123.08223032, 68.64765357, 64.49317521,\n", - " 89.90326105, 58.09837388, 87.66513139, 84.27158223,\n", - " 92.05054267, 95.88904837, 130.01434572, 95.49511186,\n", - " 79.81575847, 67.67503005, 84.0870238 , 93.30070315,\n", - " 87.96440348, 81.45192882, 119.41883513, 86.10115794,\n", - " 117.71979334, 88.34879864, 85.28470161, 85.97678517,\n", - " 89.23401134, 71.92345866, 85.55773877, 85.590669 ,\n", - " 95.33589477, 93.37324788, 89.99993046, 97.31020591,\n", - " 71.55557293, 132.76370978, 91.67076211, 75.57791139,\n", - " 68.15168009, 84.37189387, 91.64423589, 49.55257032,\n", - " 95.31250351, 128.08653894, 83.60159438, 90.87198342,\n", - " 70.7017721 , 85.26296055, 86.75119979, 67.01378354,\n", - " 93.19352752, 33.13786294, 90.16916548, 96.01083072,\n", - " 62.59552765, 89.72552922, 85.55266473, 87.33387728,\n", - " -1.6634491 , 63.09368597, 58.62452418, 137.43353535,\n", - " 84.20825982, -0.43101171, -0.79495163, 97.96497458,\n", - " 61.50572238, 75.85708447, 88.81126026, 24.20028797,\n", - " 10.21112348, 124.96511846, 80. , 39.99 ,\n", - " 159.28976346, 148.36694472, 1.72776122, 148.05030598,\n", - " 160.20458615, 76.24541727, 155.57173121, 97.41299603,\n", - " 97.0033227 , -0.45946627, 170.15983924, 31.17826715,\n", - " 51.90590552, 166.5088253 , 119.83736137, 121.89320294,\n", - " 82.09618721, 73.71984265, 139.99 , 148.36694491,\n", - " 0. , 0. , 56.67148727, 74.35881616,\n", - " 46.194113 , 64.28529793, 28.70753197, 42.31905477,\n", - " 26.77547469, 34.21051301, 53.88644457, 44.49181779,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 75.82763742, 120.93654277, 87.49327702, 61.12227328,\n", - " 96.77119203, 96.93127157, 97.87823321, 94.91101068,\n", - " 77.7562671 , 45.63637335, 95.7641038 , 97.08778189,\n", - " 96.32875746, 89.56574424, 89.8377873 , 91.3380452 ,\n", - " 76.41018232, 77.92213405, 76.98041903, 88.06047915,\n", - " 91.82957012, 90.83402026, 87.56426139, 80.43024009,\n", - " 97.59342774, 96.22024952, 87.42530856, 87.77177732,\n", - " 61.39866021, 145.46219312, 100.8895593 , 90.04451803,\n", - " 94.2987657 , 54.51057627, 89.92310628, 60.65338418,\n", - " 80.74010466, 71.1828107 , 37.0540879 , 51.54923015,\n", - " 85.53642503, 87.88453811, 88.97716949, 83.70357701,\n", - " 97.71428015, 65.09092056, 92.28213703, 71.55682127,\n", - " 97.7478085 , 129.04825354, 95.25994763, 94.45035619,\n", - " 91.47061587, 97.5541729 , 63.66791531, 96.07597575,\n", - " 95.88556439, 118.60904043, 92.5994077 , 65.11984253,\n", - " 84.79368289, 81.33125769, 73.43254814, 73.37184214,\n", - " 72.60588177, 79.04459327, 69.12501295, 66.80895735,\n", - " 84.06097319, 364.95406603, 71.55587387, 79.39239244,\n", - " 90.33374756, 90.86579663, 85.89890645, 82.33276183,\n", - " 34.06270408, 90.84037837, 87.39224186, 72.6721623 ,\n", - " 43.50321769, 110.4981457 , 98.51307993, 99.16384575,\n", - " 95.09288622, 94.70771959, 85.32824882, 91.48735764,\n", - " 91.55018157, 42.13375 , 36.61528473, 80.73839743,\n", - " 70.20709669, 68.30685292, 108.73307784, 94.85463548,\n", - " 97.0602541 , 97.06996002, 40.74805961, 75.88040254,\n", - " 119.25851385, 131.93109726, 86.01669518, 116.61519431,\n", - " 88.15875956, 87.70850881, 73.68298756, 93.86213712,\n", - " 94.65991349, 91.19177232, 95.05180076, 90.76514789,\n", - " 144.91911506, 83.34054585, 72.39748028, 147.57552404,\n", - " 98.07554868, 115.74991818, 108.81013179, 148.47109864,\n", - " 117.67729734, 76.80655892, 78.36943904, 85.96957196,\n", - " 89.20361759, 144.2641244 , 88.08454182, 87.6097127 ,\n", - " 108.21232787, 107.54613625, 92.82626763, 85.37495514,\n", - " 94.32805709, 94.0290268 , 78.34036154, 80.50803811,\n", - " 89.93267404, 96.41032033, 96.07136261, 96.07332673,\n", - " 92.05271456, 89.94550634, 74.11596608, 82.32553086,\n", - " 91.19199244, 95.5296959 , 95.38014984, 74.1387568 ,\n", - " 75.98479468, 115.87099863, 82.38487029, 70.63345543,\n", - " 142.52121465, 134.6248151 , 112.19107881, 90.54463563,\n", - " 85.57504724, 86.31729945, 93.80275999, 43.70823826,\n", - " 44.62556027, 96.5447565 , 79.56670167, 75.24110912,\n", - " 83.19913284, 83.19890108, 132.30513819, 114.51588313,\n", - " 85.48337078, 95.25483432, 83.2738376 , 88.86514023,\n", - " 86.16174259, 73.82565875, 62.34319119, 96.69155796,\n", - " 97.42713826, 74.70687698, 74.61431995, 94.89110963,\n", - " 97.60469791, 82.34074026, 90.64003619, 94.40070581,\n", - " 92.36280542, 51.90964345, 81.8246 , 76.5020001 ,\n", - " 78.18981804, 65.81130482, 60.90116019, 89.40777877,\n", - " 53.32454992, 94.78832632, 98.04820295, 96.70415336,\n", - " 85.94432991, 90.0731589 , 125.25730195, 91.02693234,\n", - " 97.21319846, 132.67698502, 86.73155358, 90.3025271 ,\n", - " 132.59750458, 88.11697967, 88.01284239, 82.32609404,\n", - " 92.76342102, 95.87267697, 96.41583307, 109.71803298,\n", - " 105.65900551, 122.93634248, 93.23154643, 76.36081328,\n", - " 97.60558998, 97.60593915, 106.25202265, 105.58193306,\n", - " 85.66238823, 56.69248449, 75.12040672, 116.98410934,\n", - " 85.20631759, 93.59046683, 74.75296475, 74.15743663,\n", - " 85.23362627, 83.29087451, 79.47034468, 84.5770009 ,\n", - " 115.97791249, 114.29898878, 96.38285461, 87.01393021,\n", - " 74.89340118, 86.68809116, 92.33161827, 112.06497672,\n", - " 97.0171047 , 95.41972337, 83.82133823, 95.47135151,\n", - " 92.60411488, 116.31634013, 59.88648115, 49.75908481,\n", - " 58.09127159, 86.01476096, 85.01026908, 143.55606113,\n", - " 108.60035458, 88.52210307, 94.37509866, 97.49411843,\n", - " 87.84615765, 96.02092097, 88.20913847, 65.85886749,\n", - " 67.3722728 , 96.59974701, 88.31436229, 77.53967257,\n", - " 89.40367668, 52.56711513, 58.92054389, 69.5433422 ,\n", - " 96.10776264, 129.25713983, 75.28740137, 80.99933691,\n", - " 94.98823123, 84.24924245, 84.03674138, 86.02815271,\n", - " 87.8894112 , 82.49300741, 104.18946114, 101.33208744,\n", - " 69.49192855, 91.23832501, 90.94424164, 91.62733598,\n", - " 96.16808167, 74.97062907, 88.07251244, 74.55731959,\n", - " 62.56926475, 60.78961499, 142.50368247, 110.8118872 ,\n", - " 54.96909701, 56.91236117, 121.49919506, 109.63214163,\n", - " 71.80299157, 127.62431335, 57.09112341, 68.47980191,\n", - " 89.24590833, 93.92203839, 83.69130515, 94.13650557,\n", - " 96.61597992, 79.73819774, 82.6550023 , 94.05693225,\n", - " 118.3903971 , 93.55831712, 87.99585416, 95.09374214,\n", - " 67.15311879, 66.73229748, 139.90351045, 140.17443612,\n", - " 93.31752031, 59.72055076, 90.15758083, 81.24510394,\n", - " 83.19757524, 88.30234646, 64.42652183, 63.59261379,\n", - " 85.43660787, 75.94222075, 87.0555325 , 102.26450756,\n", - " 91.81504467, 92.99821153, 93.00640912, 136.04058137,\n", - " 87.07251842, 87.58226796, 78.43809287, 76.74575305,\n", - " 142.54671101, 139.28680834, 96.73713064, 90.17704309,\n", - " 112.68420119, 97.70515999, 142.40287523, 116.24571175,\n", - " 90.1144612 , 89.79417383, 93.47703625, 98.81549279,\n", - " 78.0391766 , 54.0724866 , 93.51260083, 94.3579768 ,\n", - " 83.11743823, 87.23328439, 88.58941371, 91.32731802,\n", - " 145.3547656 , 139.94973234, 95.70978923, 85.39437518,\n", - " 90.29085286, 88.57124389, 94.7197053 , 93.68675905,\n", - " 96.57543434, 126.98314644, 137.40653347, 96.21399919,\n", - " 96.38920032, 95.7200749 , 94.97184785, 93.09361106,\n", - " 87.73819501, 95.4755141 , 85.04185329, 81.59126523,\n", - " 91.57609559, 83.05015706, 83.19085202, 139.36557138,\n", - " 89.42921147, 108.85717617, 90.88013484, 96.0877415 ,\n", - " 86.49749621, 69.88209763, 29.56538452, 92.10797887,\n", - " 96.16797772, 120.9150814 , 94.61693355, 95.17538165,\n", - " 89.75414834, 49.89690185, 75.9538308 , 95.58726933,\n", - " 86.4467168 , 76.9862595 , 116.22183105, 95.23619394,\n", - " 95.91293567, 94.37940031, 54.68868608, 96.39202219,\n", - " 85.00368317, 96.85875972, 94.41542733, 97.51841241,\n", - " 93.02920604, 87.42199404, 87.38867467, 95.23559865,\n", - " 56.9935392 , 131.93960521, 79.40070736, 73.98778079,\n", - " 97.38201402, 96.13629856, 65.02743497, 69.91702709,\n", - " 84.33372329, 93.76390783, 91.38962633, 88.21786121,\n", - " 88.23139398, 92.72129553, 85.59235202, 92.32819364,\n", - " 91.49745612, 116.85109456, 89.92941362, 62.07303268,\n", - " 94.77605729, 81.28813237, 65.09362668, 95.75546127,\n", - " 82.44429219, 70.75039823, 82.56791286, 61.0055627 ,\n", - " 119.92747914, 121.88451812, 94.72924157, 87.94747661,\n", - " 87.08442135, 95.05212606, 85.86794143, 95.35058199,\n", - " 94.96332054, 94.38343341, 84.75343855, 112.39660924,\n", - " 43.83868187, 45.17044289, 74.7655134 , 96.17181702,\n", - " 84.28509873, 45.76538069, 56.76054075, 84.55568877,\n", - " 95.93226187, 91.61441547, 69.22095039, 22.21236309,\n", - " 93.97514603, 84.61447899, 97.35754008, 84.7644856 ,\n", - " 91.46905721, 92.42380262, 87.64646859, 95.84847447,\n", - " 84.7568485 , 74.06147438, 94.70697501, 88.68117012,\n", - " 97.41363718, 132.73694021, 87.13238753, 94.91896178,\n", - " 65.68672586, 52.74947361, 96.71004939, 95.63546419,\n", - " 94.86700049, 95.35338342, 95.07526949, 122.53071615,\n", - " 85.26990346, 96.31157305, 96.99974735, 116.58890275,\n", - " 83.3157434 , 81.47226586, 79.54516575, 61.69442884,\n", - " 61.95056593, 90.28406334, 85.64437965, 97.91768711,\n", - " 94.98746699, 41.4993988 , 41.75595573, 66.03250174,\n", - " 97.29264498, 95.63412121, 60.51569983, 93.16877019,\n", - " 96.85274784, 94.20279803, 80.01001577, 74.37924289,\n", - " 90.19938818, 96.12429378, 96.51728353, 95.81425051,\n", - " 95.58025523, 74.97450439, 105.78909313, 97.15767648,\n", - " 82.24305615, 107.28508536, 77.60035765, 91.95870708,\n", - " 93.10631236, 81.88210039, 92.14132837, 95.29102965,\n", - " 83.2543289 , 88.61013124, 137.89157262, 118.27794736,\n", - " 146.34452338, 125.46210622, 71.43536063, 70.47445249,\n", - " 83.74415086, 94.96761828, 95.99856847, 94.74081755,\n", - " 129.69801481, 96.07182622, 96.38634179, 70.89356668,\n", - " 130.40680543, 85.26561505, 86.82752001, 92.77260718,\n", - " 93.33208607, 62.76303889, 120.84355569, 94.61214943,\n", - " 104.20967349, 84.66992997, 83.91092651, 84.98095168,\n", - " 86.14837526, 108.38665148, 135.99399631, 94.98480264,\n", - " 92.42576329, 91.59751628, 45.26047575, 93.06641109,\n", - " 94.21716128, 86.85367015, 82.36049189, 81.8126495 ,\n", - " 63.61802133, 87.42266978, 62.19361831, 91.69731037,\n", - " 95.30055921, 94.49116406, 93.36121502, 87.58349975,\n", - " 88.33672409, 92.21245319, 92.81075382, 77.69528175,\n", - " 91.92725009, 85.97058064, 85.7777704 , 81.48449452,\n", - " 116.78171541, 99.51424793, 82.09226343, 89.05052793,\n", - " 134.74334262, 84.42021855, 86.79889082, 98.91487654,\n", - " 89.26119224, 93.04800845, 87.38802613, 96.97943812,\n", - " 125.73741918, 88.59316298, 93.19703159, 86.69014611,\n", - " 88.51000609, 85.88522435, 88.69382145, 87.97354573,\n", - " 83.43063183, 96.10334789, 82.97302263, 91.28158057,\n", - " 81.91809828, 71.61623283, 91.59572955, 85.80725429,\n", - " 86.67632385, 111.75729084, 86.03667173, 93.41487124,\n", - " 95.24433641, 85.09855434, 64.8339799 , 88.72718396,\n", - " 92.74981504, 90.43217987, 114.17640074, 117.25292711,\n", - " 96.39001966, 69.12049086, 89.3706608 , 91.73613334,\n", - " 96.17240649, 135.55642182, 70.48037312, 148.46541447,\n", - " 107.93093266, 69.60211539, 67.85647968, 145.94911312,\n", - " 89.14706394, 88.39564257, 107.75893917, 100.16573644,\n", - " 61.70286974, 61.30686286, 93.37118914, 93.68114008,\n", - " 88.03564042, 95.8233688 , 101.98984934, 132.06723481,\n", - " 81.72036249, 146.10254032, 75.51117114, 96.37462774,\n", - " 96.38407931, 95.13274629, 86.51622271, 83.19725025,\n", - " 96.08850114, 87.14396611, 91.15417704, 93.73475058,\n", - " 97.9417076 , 85.44628612, 83.72122397, 90.33269677,\n", - " 81.2253129 , 84.0122985 , 71.37971034, 88.29012571,\n", - " 88.30591046, 87.82347909, 96.56041334, 82.54499907,\n", - " 66.09760634, 70.47097497, 110.10668859, 61.24877504,\n", - " 83.33131511, 102.5302055 , 88.15905648, 88.18987045,\n", - " 85.77243394, 85.77239248, 83.19896695, 85.60409656,\n", - " 83.80102257, 96.00611775, 95.40890036, 66.63576556,\n", - " 61.18939149, 96.19302175, 95.6410929 , 82.55482024,\n", - " 69.87305576, 95.00993172, 91.1121124 , 83.17361901,\n", - " 120.31040876, 86.99737453, 90.60271645, 82.05151205,\n", - " 97.13394073, 49.85812173, 65.08058901, 104.85043305,\n", - " 70.92266739, 91.50054098, 89.15030763, 53.51132545,\n", - " 92.98398766, 78.30992281, 114.38689356, 90.28287609,\n", - " 84.40607205, 72.37910568, 127.94908936, 43.458603 ,\n", - " 61.66037076, 95.28404954, 64.51006343, 82.83817726,\n", - " 60.75852709, 80.29028143, 58.19929774, 90.81167564,\n", - " 125.43653412, 83.49971539, 68.08626472, 78.70304955,\n", - " 86.87314313, 98.61088798, 84.58049191, 72.63070707,\n", - " 96.08201258, 64.13318215, 88.16285041, 99.10507517,\n", - " 95.08564652, 94.05296263, 87.22466809, 74.98622641,\n", - " 96.39061562, 90.18813368, 91.25697007, 44.49231217,\n", - " 113.84124058, 102.09296067, 84.6736603 , 84.92344254,\n", - " 76.77266465, 94.91702022, 99.54501971, 88.72367906,\n", - " 76.96024739, 94.75171549, 147.80931525, 87.28921105,\n", - " 68.76371808, 84.08592235, 96.07320589, 101.64331031,\n", - " 61.80139275, 72.48066104, 78.76605637, 79.00690629,\n", - " 88.92794464, 88.36523015, 90.79029788, 87.78100107,\n", - " 89.50517581, 83.2404542 , 99.7531353 , 87.57506075,\n", - " 111.28801878, 85.36120162, 62.94948737, 84.45745477,\n", - " 97.26994909, 42.61975837, 66.01679747, 86.25734931,\n", - " 84.95759066, 85.05997155, 66.60622694, 79.47116648,\n", - " 70.62295469, 82.4524267 , 86.42124589, 88.46783948,\n", - " 95.92854219, 68.39843926, 87.13885482, 57.33839495,\n", - " 87.5909502 , 81.40189895, 81.4903279 , 92.5691856 ,\n", - " 56.79419837, 60.74205836, 83.53278584, 51.70187343,\n", - " 92.9998367 , 98.07563984, 93.73330058, 93.03195088,\n", - " 94.96331875, 83.19737722, 65.09137244, 83.36774155,\n", - " 81.83113015, 120.89660763, 79.80077094, 86.26860519,\n", - " 83.42092625, 73.22017305, 85.45983723, 83.17612959,\n", - " 81.16877113, 88.96499053, 80.48093317, 134.49610163,\n", - " 147.94324685, 56.51455127, 74.227194 , 134.16885571,\n", - " 117.3820868 , 85.19082534, 96.39001961, 75.23868604,\n", - " 49.14931469, 133.88941603, 71.22505216, 67.56374846,\n", - " 89.98169961, 58.44079102, 88.02127821, 84.3484267 ,\n", - " 92.2047526 , 96.84792573, 132.15058933, 96.41942 ,\n", - " 81.15526246, 70.27720293, 84.24366693, 93.58847166,\n", - " 88.68677309, 82.18473984, 122.9771989 , 86.18164088,\n", - " 120.06332088, 89.07133326, 85.41089996, 86.10767504,\n", - " 89.64646474, 74.58538249, 85.99823454, 86.03116506,\n", - " 96.23448026, 94.03760398, 90.07405903, 97.46365136,\n", - " 71.60318133, 133.63514515, 92.08327953, 75.74463538,\n", - " 68.31900348, 84.81475969, 92.6905782 , 51.20325658,\n", - " 95.38843271, 128.95797463, 84.01621461, 91.25624692,\n", - " 70.86285448, 85.42358341, 86.91211153, 69.66838362,\n", - " 93.26808776, 35.75129183, 90.31977203, 96.10264099,\n", - " 63.04226979, 90.49741264, 85.71578152, 87.49463841,\n", - " -1.6634491 , 64.97194552, 61.38960373, 147.14680409,\n", - " 85.67789651, -0.43100231, -0.7949417 , 98.64078303,\n", - " 63.29962751, 81.23023818, 90.84643357, 27.81345371,\n", - " 12.78479654, 128.52348223, 80. , 39.99 ,\n", - " 167.27278823, 150. , 1.72776122, 152.97185556,\n", - " 168.10771654, 82.15900512, 156.83146854, 97.56775312,\n", - " 97.1662797 , -0.4593245 , 170.73639798, 35.05727793,\n", - " 53.59282739, 169.95642486, 120.29101632, 126.98268271,\n", - " 83.24265152, 74.2761453 , 139.99 , 153.33627881,\n", - " 0. , 0. , 57.08833766, 74.44805997,\n", - " 46.194113 , 64.28529793, 29.69867063, 42.31905477,\n", - " 26.77547469, 34.65033803, 53.88644457, 44.47361612,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 77.26918696, 126.74223585, 88.35493636, 61.98603056,\n", - " 97.13258411, 97.30740062, 98.25433128, 95.23468335,\n", - " 78.13347046, 46.01409345, 96.13644011, 97.45981101,\n", - " 97.96218217, 89.8946374 , 90.20264189, 91.7028998 ,\n", - " 77.68240565, 78.80552493, 77.35654447, 88.43659822,\n", - " 92.15305671, 91.15718126, 87.92968591, 82.0594593 ,\n", - " 97.96187495, 96.58577203, 87.79092708, 88.44823265,\n", - " 62.08100687, 145.91968729, 101.42330484, 90.71277492,\n", - " 94.96702144, 54.8765415 , 90.44375974, 61.01934919,\n", - " 81.11332729, 71.5560665 , 37.42005373, 51.91519566,\n", - " 86.15581766, 88.5039413 , 89.50217003, 84.36978001,\n", - " 98.09482561, 65.65225904, 93.31914312, 72.06036054,\n", - " 98.12708033, 134.85745259, 95.58631472, 94.78068337,\n", - " 91.84550606, 97.93382642, 64.28759952, 96.69482644,\n", - " 96.50445769, 121.08685657, 92.77275101, 67.59802559,\n", - " 85.4785345 , 82.62463468, 75.18469259, 75.12484039,\n", - " 72.9718451 , 79.41072939, 70.76196364, 68.45056845,\n", - " 84.42692509, 365.46388716, 71.92183382, 79.75835912,\n", - " 90.96944297, 91.50149204, 86.56714741, 83.36995307,\n", - " 35.09991453, 91.61153679, 88.1844722 , 74.42452824,\n", - " 44.87490783, 113.11371834, 101.12866507, 99.66743396,\n", - " 95.75008617, 95.35039667, 85.69419933, 92.22983721,\n", - " 92.29539643, 42.49971609, 36.9812507 , 82.36755973,\n", - " 70.57305703, 68.67281608, 111.34320603, 97.46477038,\n", - " 97.43990767, 97.44961359, 42.30791831, 77.44023084,\n", - " 122.47443483, 132.87840959, 86.59054669, 117.56263038,\n", - " 88.53578641, 88.08569589, 75.43550102, 94.59838765,\n", - " 95.13835869, 91.67947483, 95.76868067, 91.48206906,\n", - " 145.75028605, 85.90743807, 74.96353134, 148.46868087,\n", - " 98.7924257 , 116.4860646 , 109.54629975, 149.23776468,\n", - " 118.57050914, 79.12185707, 80.71021021, 88.5070362 ,\n", - " 91.73819789, 144.71344679, 90.3328774 , 89.85814301,\n", - " 111.11100829, 110.6495512 , 93.44496213, 85.9943219 ,\n", - " 95.06011406, 94.76193838, 80.09736683, 82.26246272,\n", - " 91.32755272, 97.02770369, 96.43149618, 96.43319808,\n", - " 92.43813428, 90.33257429, 75.78903922, 84.06557848,\n", - " 91.93787885, 95.90270656, 95.75323335, 75.53363639,\n", - " 77.61263819, 116.42688188, 84.01333352, 71.14668848,\n", - " 143.38453084, 140.69361189, 114.33487187, 91.26185529,\n", - " 86.26086249, 86.99828485, 94.16830884, 44.13002372,\n", - " 45.05942122, 96.904859 , 81.23914977, 76.91739018,\n", - " 84.94084228, 84.94070369, 132.86490674, 115.06338987,\n", - " 86.17053166, 95.62038342, 83.79970525, 89.3910081 ,\n", - " 86.8533732 , 74.19162484, 62.70916435, 97.06777842,\n", - " 97.8034593 , 75.07283671, 74.98028133, 95.44894712,\n", - " 97.97025062, 82.87049015, 91.1685893 , 95.06687652,\n", - " 93.03017735, 52.32261823, 82.89264141, 77.57029718,\n", - " 78.80362078, 66.42510708, 61.26251689, 89.77516247,\n", - " 53.68439646, 95.42635264, 98.68891029, 97.02785392,\n", - " 86.8363858 , 90.96521481, 131.05065386, 91.40135958,\n", - " 97.5896672 , 138.74496978, 87.10294127, 90.82469088,\n", - " 133.33191834, 88.49348543, 88.389518 , 82.992226 ,\n", - " 93.42929397, 96.25031903, 96.79342235, 113.02588963,\n", - " 108.84672885, 123.32704234, 94.80817748, 78.0385186 ,\n", - " 97.97799537, 97.97830167, 109.63306164, 108.95533052,\n", - " 86.70742344, 57.73847199, 75.48637113, 117.81598703,\n", - " 86.27440011, 94.50546606, 75.11893057, 74.52340269,\n", - " 85.59957201, 83.82062681, 81.08621228, 86.13388244,\n", - " 116.9184269 , 115.2383078 , 96.90608996, 87.34960493,\n", - " 75.86038755, 87.0167081 , 92.70643465, 114.20009991,\n", - " 97.39329995, 95.72468665, 84.12638219, 95.79528595,\n", - " 92.91738715, 117.25891921, 60.75024669, 50.72626812,\n", - " 58.95503887, 86.30117215, 85.31796375, 144.01355609,\n", - " 111.67680467, 89.36452428, 94.73468527, 97.85461165,\n", - " 88.15275328, 96.38631847, 88.51571451, 66.54316893,\n", - " 68.05658426, 97.13466456, 88.84939994, 77.91902389,\n", - " 89.78001882, 53.43174187, 60.55065997, 71.17367376,\n", - " 96.43914155, 129.714504 , 75.64723008, 81.35916497,\n", - " 95.65425255, 86.00315971, 85.79066296, 86.5004416 ,\n", - " 88.2661164 , 83.02425396, 107.08888235, 104.23458249,\n", - " 70.10573073, 91.74686161, 91.45275235, 92.37828325,\n", - " 96.92107567, 75.27563553, 88.44951408, 74.86238954,\n", - " 62.93522917, 61.15557941, 143.02012915, 111.34351448,\n", - " 55.32892602, 57.27219005, 122.02296711, 110.16422505,\n", - " 72.27530141, 130.72933229, 57.56377758, 69.96421783,\n", - " 90.1632053 , 94.83933544, 84.53617976, 94.44146878,\n", - " 96.92094243, 81.41054297, 84.32907108, 94.41714023,\n", - " 121.60360081, 93.91846396, 88.37202615, 95.47119053,\n", - " 67.51295888, 67.09213772, 140.7832295 , 141.05462083,\n", - " 93.67728228, 60.19286073, 90.82699475, 81.60493229,\n", - " 84.93991085, 88.67953354, 65.57416812, 64.69402314,\n", - " 86.0559944 , 77.69143922, 87.4326628 , 102.68069567,\n", - " 92.17355081, 93.35701307, 93.36506257, 136.97767674,\n", - " 87.43232689, 87.94571463, 78.8040594 , 77.11171959,\n", - " 143.41078627, 140.15092384, 97.09714513, 90.55418382,\n", - " 114.77941949, 99.80086208, 143.34428246, 117.18783813,\n", - " 90.44349833, 90.123129 , 93.82065603, 101.91955027,\n", - " 79.0763915 , 55.10970166, 93.95506789, 94.67162742,\n", - " 86.30526664, 87.56072183, 88.91004265, 91.70206795,\n", - " 146.27656284, 140.85252786, 96.04089159, 85.75418995,\n", - " 90.61994033, 88.90004023, 95.04641858, 94.04687904,\n", - " 96.94229688, 127.47233396, 137.89740704, 96.74079266,\n", - " 96.91319154, 96.08338063, 95.33512475, 93.45373355,\n", - " 88.06665828, 95.84145093, 85.65565508, 82.62846999,\n", - " 91.94185054, 83.41611642, 83.22177561, 139.3966447 ,\n", - " 90.09625487, 111.75593917, 91.73977425, 96.41363101,\n", - " 89.04471717, 72.44138593, 30.60259988, 94.640852 ,\n", - " 97.95871813, 120.93344402, 95.31384711, 95.86941506,\n", - " 90.69217949, 50.76336376, 76.89362763, 95.95281552,\n", - " 86.81226394, 79.23846051, 118.47567082, 96.153491 ,\n", - " 96.28529988, 94.75176452, 55.06633788, 96.91568485,\n", - " 85.68593917, 98.33230759, 94.72853269, 97.89446353,\n", - " 93.76992364, 87.76060971, 87.72728925, 98.54559319,\n", - " 57.35951243, 138.00789945, 79.87301039, 74.67170357,\n", - " 98.15323648, 96.9074599 , 66.7409817 , 71.50371463,\n", - " 84.71273949, 94.13968033, 92.05745912, 88.55649123,\n", - " 88.57001313, 93.09529904, 85.95756904, 92.6786925 ,\n", - " 91.84322261, 120.06452645, 90.96645096, 63.11007025,\n", - " 95.13911512, 83.85502514, 67.37537895, 96.11580883,\n", - " 83.51223451, 71.11566025, 84.23436803, 62.40969777,\n", - " 120.65920691, 122.61560292, 95.11656414, 88.32371585,\n", - " 87.46026592, 95.57587737, 86.55420453, 95.87433375,\n", - " 95.63159461, 95.05170817, 85.08064149, 112.913057 ,\n", - " 44.75577753, 46.08791635, 75.65283566, 96.50291938,\n", - " 84.97137837, 46.62964473, 57.45383972, 86.3094426 ,\n", - " 96.45908562, 92.37022045, 70.87720713, 23.86861995,\n", - " 94.35005168, 84.98622786, 97.71849623, 85.13590179,\n", - " 92.12194835, 92.78339988, 88.00596051, 96.22083697,\n", - " 87.32281018, 76.62442804, 95.03248114, 89.00116365,\n", - " 97.7760035 , 134.83910969, 88.0192831 , 95.80585738,\n", - " 67.47866152, 54.5418089 , 97.07006388, 96.37799776,\n", - " 95.2474849 , 95.73386635, 97.66703163, 128.33741175,\n", - " 85.57939559, 98.89082796, 99.57910386, 117.14472477,\n", - " 84.97448277, 83.13144178, 80.45736372, 64.2568654 ,\n", - " 64.51454736, 90.66443735, 86.0215199 , 98.29780788,\n", - " 95.65354445, 41.86536489, 42.12192182, 66.39846613,\n", - " 97.65758146, 95.99548587, 62.07591726, 93.94006552,\n", - " 97.21400016, 94.97409307, 80.78127494, 74.74520896,\n", - " 90.57374572, 96.49593985, 96.88886757, 96.18128264,\n", - " 95.95337112, 76.72843701, 105.80799784, 97.51884336,\n", - " 82.62255456, 108.813363 , 78.89374016, 92.322163 ,\n", - " 93.47388575, 83.520567 , 92.51622566, 95.60382887,\n", - " 84.91281337, 88.93945178, 138.00510196, 119.01410034,\n", - " 147.27143619, 126.39171907, 73.09061219, 72.1299742 ,\n", - " 84.25390635, 95.32750744, 96.3587245 , 95.10066743,\n", - " 132.79767885, 96.43204525, 96.91066493, 72.18694929,\n", - " 130.90690427, 85.64384208, 87.15518812, 93.4421534 ,\n", - " 94.85093727, 65.31895755, 121.18535252, 95.47147462,\n", - " 107.53569151, 87.06185392, 84.57706072, 85.3463038 ,\n", - " 86.51371646, 111.79162255, 138.42488074, 95.31115163,\n", - " 92.79952281, 92.45708201, 45.64238927, 93.73296172,\n", - " 94.59142707, 87.22519736, 83.22868407, 84.38173405,\n", - " 66.19038647, 87.78763496, 63.94792047, 92.19038521,\n", - " 95.97071783, 95.15900288, 93.88496678, 88.32965292,\n", - " 89.08302641, 93.12975026, 93.72805089, 78.25560393,\n", - " 92.86053362, 86.90386726, 86.82341932, 82.1546669 ,\n", - " 117.68298048, 100.42022784, 83.16056049, 90.08774883,\n", - " 135.46946422, 84.79232822, 87.1739971 , 100.45824238,\n", - " 90.82285608, 93.42775621, 88.3655142 , 97.35911133,\n", - " 126.63549684, 88.89309008, 93.89074162, 87.0672876 ,\n", - " 88.88714759, 86.26150998, 88.99880322, 88.27852795,\n", - " 84.49893236, 96.42884165, 84.04132359, 92.03243611,\n", - " 83.57683469, 73.27248956, 91.96141703, 86.18439567,\n", - " 87.05346534, 115.15032856, 86.70680362, 94.08445895,\n", - " 95.57495178, 85.76873026, 65.50415584, 89.39735904,\n", - " 93.11871457, 90.80107945, 114.67732897, 119.34686953,\n", - " 96.91391602, 70.70717873, 89.70085914, 92.66882525,\n", - " 96.94370153, 136.32319117, 71.51759404, 149.17446197,\n", - " 111.03068245, 69.9619441 , 68.21630839, 146.88044256,\n", - " 89.47718999, 89.0147039 , 108.29281803, 100.69963683,\n", - " 64.26644192, 63.87078905, 94.40767432, 94.18967681,\n", - " 88.41018428, 96.18895731, 102.40357711, 135.14352726,\n", - " 83.46066265, 146.99629892, 76.92698814, 96.90030605,\n", - " 96.90866476, 95.82677981, 86.89131443, 84.93971651,\n", - " 96.44798713, 87.52109758, 91.52890185, 94.13930158,\n", - " 98.3254656 , 86.1164412 , 84.23089932, 90.84129896,\n", - " 81.60481851, 84.39180411, 72.06404893, 88.66340537,\n", - " 88.67769826, 88.18917841, 96.91949488, 84.21131176,\n", - " 68.63667487, 70.84963809, 112.24281756, 63.81610822,\n", - " 86.65742607, 105.8360463 , 88.52749348, 91.49578557,\n", - " 86.82022815, 86.82020336, 84.94074308, 85.9792988 ,\n", - " 84.17746492, 96.53281839, 95.935601 , 67.00103652,\n", - " 61.55466636, 96.5589557 , 96.00396779, 83.22503225,\n", - " 72.18835788, 95.38912856, 91.85534217, 83.84379497,\n", - " 120.66015449, 87.66498133, 91.29498383, 82.67108332,\n", - " 97.82797424, 51.48753424, 66.35281698, 105.38395544,\n", - " 71.5888036 , 91.84613722, 89.49121453, 54.55912648,\n", - " 93.67776348, 78.92949424, 115.32626957, 91.17493201,\n", - " 84.77780683, 74.04542859, 128.88042087, 44.22986269,\n", - " 62.02633675, 95.94003398, 67.11067907, 83.37321878,\n", - " 62.27785456, 81.32748642, 59.23650532, 91.47994205,\n", - " 125.4896258 , 83.91609473, 68.44610842, 79.23811486,\n", - " 87.24622827, 100.70613677, 85.26493751, 76.01269018,\n", - " 96.44758549, 64.49302585, 88.83651073, 100.6336313 ,\n", - " 95.77968007, 94.74699617, 87.59035666, 75.60582548,\n", - " 96.91444246, 90.56527517, 92.0121805 , 44.85828623,\n", - " 114.74177983, 104.69581171, 85.05085174, 85.30069236,\n", - " 77.19119653, 95.26006504, 101.78783503, 89.02865952,\n", - " 79.53868063, 95.44591788, 148.6729889 , 87.65322035,\n", - " 69.12968417, 84.61453498, 96.41556675, 102.5473395 ,\n", - " 63.51495438, 73.32717431, 80.0594422 , 79.38386181,\n", - " 89.30464984, 90.96085441, 91.4712836 , 88.14576791,\n", - " 92.06469109, 83.9222404 , 100.28540348, 87.93455267,\n", - " 112.2331284 , 85.73845301, 63.63434108, 84.83265701,\n", - " 97.64232342, 42.99671408, 68.55448927, 86.63495058,\n", - " 85.33070195, 85.4372229 , 66.97219427, 81.12990291,\n", - " 72.10444959, 82.83192512, 86.78564669, 89.13538234,\n", - " 96.60952808, 68.7788711 , 87.51645609, 59.05195972,\n", - " 88.12599499, 82.06951086, 83.73869613, 93.20488101,\n", - " 57.4817182 , 61.14582574, 84.06253816, 52.57006575,\n", - " 93.35849527, 98.7925036 , 94.11413891, 93.35258025,\n", - " 95.63159353, 84.93979244, 67.43340638, 85.02648005,\n", - " 82.36088244, 123.3018711 , 81.47316654, 86.91363017,\n", - " 83.9305699 , 74.85712436, 85.96965836, 83.68595072,\n", - " 82.23706819, 89.43750246, 80.95344511, 140.56438524,\n", - " 148.70388825, 58.22834666, 75.90026721, 134.28258468,\n", - " 118.2788882 , 86.25912631, 96.91391599, 76.8974249 ,\n", - " 49.50914371, 139.95772601, 72.85427762, 69.8068096 ,\n", - " 90.31516779, 58.91322621, 88.49995542, 84.67929987,\n", - " 92.57947607, 97.62984448, 133.01468124, 97.1863932 ,\n", - " 82.22355539, 71.9159644 , 84.62000195, 94.03093872,\n", - " 89.35443007, 82.85662028, 125.46274234, 86.51514135,\n", - " 121.01125735, 89.73903378, 85.77463138, 86.47377062,\n", - " 90.15497548, 76.24491209, 86.5219864 , 86.55491703,\n", - " 96.98769386, 94.6794598 , 90.40472111, 97.83603423,\n", - " 71.90925576, 134.36654041, 92.59181616, 76.11996446,\n", - " 68.69457501, 85.33976023, 93.22567914, 52.73208483,\n", - " 95.7203487 , 129.68937003, 84.52588996, 91.7439496 ,\n", - " 71.2401752 , 85.80071825, 87.28936323, 71.32495083,\n", - " 93.59950096, 37.39546289, 90.69345277, 96.44499303,\n", - " 63.60380681, 91.18503146, 86.09391699, 87.87182104,\n", - " -1.6634491 , 66.43147318, 63.20593283, 152.73339279,\n", - " 86.72328335, -0.43097949, -0.7949185 , 99.28001967,\n", - " 64.68844217, 84.3900072 , 92.2382415 , 29.77977549,\n", - " 14.41250031, 131.00902567, 80. , 39.99 ,\n", - " 172.38787388, 150. , 1.72776122, 157.00462705,\n", - " 173.17763168, 85.57892783, 157.7762378 , 97.94659134,\n", - " 97.54992015, -0.45919291, 171.24413823, 37.43563636,\n", - " 54.78398767, 172.32793312, 120.85616661, 130.08770165,\n", - " 83.81825044, 74.88195371, 139.99 , 157.4059276 ,\n", - " 0. , 0. , 57.56094398, 74.59637332,\n", - " 46.194113 , 64.28529793, 30.91403536, 42.31905477,\n", - " 26.77547469, 35.20765196, 53.88644457, 44.69611441,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 78.18409237, 129.12299698, 89.00437569, 62.63635097,\n", - " 97.55828705, 97.73988617, 98.68680342, 95.6432406 ,\n", - " 78.56546767, 46.44630524, 96.5658598 , 97.88891126,\n", - " 98.84065833, 90.30420427, 90.62989475, 92.13015266,\n", - " 78.5717118 , 79.49957561, 77.78902142, 88.8690725 ,\n", - " 92.56169308, 91.56577031, 88.35720753, 83.12944507,\n", - " 98.38848102, 97.01105712, 88.21854019, 89.03261577,\n", - " 62.66786418, 146.2794728 , 101.7034851 , 91.29372916,\n", - " 95.54797749, 55.30202153, 90.94057764, 61.44482913,\n", - " 81.54185519, 71.98460834, 37.84553401, 52.3406758 ,\n", - " 86.71505586, 89.06318394, 90.00095956, 84.93266404,\n", - " 98.52928105, 66.27449627, 94.07717268, 72.57882808,\n", - " 98.5610945 , 137.23968613, 95.99492007, 95.19113705,\n", - " 92.27740578, 98.36788099, 64.84696018, 97.25383704,\n", - " 97.06348619, 122.97840746, 92.96805422, 69.48973057,\n", - " 86.06890988, 83.55450411, 76.30314849, 76.24365485,\n", - " 73.39732436, 79.83628121, 71.83458027, 69.52514231,\n", - " 84.85239968, 365.95560219, 72.34731167, 80.18383974,\n", - " 91.52077173, 92.0528208 , 87.14808074, 84.12806038,\n", - " 35.85802991, 92.23181273, 88.81566143, 75.54307716,\n", - " 46.28427828, 115.06311465, 103.07806663, 100.18592204,\n", - " 96.32522919, 95.91793436, 86.11967336, 92.83537484,\n", - " 92.90233676, 42.92519646, 37.40673102, 83.43748784,\n", - " 70.99853505, 69.09829526, 113.29031626, 99.41188342,\n", - " 97.87396227, 97.88366819, 43.33938852, 78.47168828,\n", - " 124.67591182, 133.27625284, 86.88757007, 117.96052561,\n", - " 88.96736101, 88.51733567, 76.55411189, 95.20073328,\n", - " 95.61898057, 92.16428263, 96.36110385, 92.07450956,\n", - " 146.09935337, 87.37277007, 76.42851007, 148.84378042,\n", - " 99.38484766, 117.12323726, 110.18348146, 149.55974182,\n", - " 118.94563177, 80.43112077, 82.03388587, 89.94163136,\n", - " 93.17158188, 145.06980038, 92.13127965, 91.65658504,\n", - " 112.6897561 , 112.29467901, 94.00390714, 86.55354924,\n", - " 95.66031101, 95.36257307, 81.21786413, 83.38187621,\n", - " 92.22102057, 97.58609806, 96.85666282, 96.85827249,\n", - " 92.76825885, 90.66339106, 76.87428749, 85.17895407,\n", - " 92.54515156, 96.33276376, 96.18342181, 76.42710462,\n", - " 78.68143007, 116.84526268, 85.08265933, 71.63997057,\n", - " 143.7470982 , 143.18486882, 116.06850279, 91.85442115,\n", - " 86.83741591, 87.57237628, 94.59360498, 44.58205405,\n", - " 45.51692602, 97.33005824, 82.32413555, 78.00398569,\n", - " 86.05491578, 86.05481632, 133.28540587, 115.47845817,\n", - " 86.74777138, 96.04567967, 84.29879029, 89.89009324,\n", - " 87.43289401, 74.61710522, 63.13464768, 97.50032836,\n", - " 98.2360676 , 75.4983144 , 75.40575972, 95.97629652,\n", - " 98.39554838, 83.37138025, 91.66894659, 95.64679009,\n", - " 93.61073217, 52.77065408, 83.66023051, 78.33799365,\n", - " 79.34280016, 66.96428627, 61.68801677, 90.20345386,\n", - " 54.10926211, 95.97872552, 99.24248395, 97.43642288,\n", - " 87.51928627, 91.64811529, 133.42928793, 91.83304863,\n", - " 98.02233475, 141.23588569, 87.53280455, 91.32219245,\n", - " 133.9690123 , 88.92479642, 88.82085251, 83.55514352,\n", - " 93.99219163, 96.68349881, 97.22657818, 114.72339232,\n", - " 110.51578349, 123.5471477 , 95.84801983, 79.12080916,\n", - " 98.40744599, 98.40773311, 111.33774481, 110.65793628,\n", - " 87.44069021, 58.47213869, 75.91185079, 118.16535114,\n", - " 87.04200647, 95.12896498, 75.54441084, 74.94888305,\n", - " 86.02504413, 84.32151791, 82.14743597, 87.16410233,\n", - " 117.31341523, 115.6327941 , 97.40407278, 87.76235977,\n", - " 76.55164423, 87.42589831, 93.1375109 , 115.93008974,\n", - " 97.82583659, 96.12178122, 84.52351066, 96.20350042,\n", - " 93.31962367, 117.65477464, 61.40057056, 51.41760751,\n", - " 59.60536348, 86.68657312, 85.71550824, 144.37334193,\n", - " 113.81971263, 90.0043735 , 95.15954991, 98.27992934,\n", - " 88.55099644, 96.81154717, 88.91394944, 67.13084718,\n", - " 68.64426672, 97.41533703, 89.13012284, 78.35173453,\n", - " 90.2114559 , 54.08242742, 61.62176971, 72.24478667,\n", - " 96.84892928, 130.07423492, 76.07208824, 81.78402285,\n", - " 96.23407567, 87.12236013, 86.9098652 , 86.97536654,\n", - " 88.69747041, 83.52580897, 108.66794127, 105.81493233,\n", - " 70.64490988, 92.23798798, 91.94386685, 92.98816514,\n", - " 97.53181712, 75.67274824, 88.88107101, 75.25952892,\n", - " 63.36070887, 61.58105911, 143.41583424, 111.7476238 ,\n", - " 55.75378431, 57.69704829, 122.29895879, 110.44370726,\n", - " 72.75023516, 132.88423369, 58.03885594, 70.89878927,\n", - " 90.85918685, 95.53531703, 85.21071921, 94.83856334,\n", - " 97.31803668, 82.49548554, 85.4147375 , 94.84228406,\n", - " 123.80393663, 94.34358015, 88.80452576, 95.90428699,\n", - " 67.93782183, 67.51700073, 141.49271941, 141.76429942,\n", - " 94.10218837, 60.66779452, 91.40842069, 82.0297903 ,\n", - " 86.05424732, 89.11117332, 66.35278554, 65.45194025,\n", - " 86.61523004, 78.8086663 , 87.8642698 , 103.02824846,\n", - " 92.59782546, 93.78143698, 93.78945005, 137.37122917,\n", - " 87.85717656, 88.37229926, 79.22953996, 77.53720015,\n", - " 143.77367241, 140.51382688, 97.5222855 , 90.98579519,\n", - " 116.49265045, 101.51429621, 143.73964575, 117.58350345,\n", - " 90.8532326 , 90.53276801, 94.23763348, 103.56494793,\n", - " 79.83450875, 55.86781898, 94.41582374, 95.07414301,\n", - " 87.97436541, 87.96932855, 89.31499158, 92.13390397,\n", - " 146.66369051, 141.23167537, 96.45176024, 86.17904226,\n", - " 91.02973298, 89.3094943 , 95.45516728, 94.47198288,\n", - " 97.37049059, 127.73380115, 138.15958234, 97.24036522,\n", - " 97.41151245, 96.50969821, 95.76143104, 93.87883877,\n", - " 88.47589006, 96.26691947, 86.19483406, 83.38658299,\n", - " 92.3672374 , 83.84159395, 83.2347626 , 139.40969458,\n", - " 90.6767119 , 113.33472165, 92.38822534, 96.82209633,\n", - " 90.50178782, 73.9035245 , 31.36071731, 96.0922882 ,\n", - " 99.09420747, 120.94115579, 95.89606464, 96.45015829,\n", - " 91.32535114, 51.4146801 , 77.52754081, 96.37811054,\n", - " 87.23755937, 81.03848613, 120.27638466, 96.8494726 ,\n", - " 96.71473207, 95.18119671, 55.49852342, 97.41385883,\n", - " 86.2727584 , 99.78445529, 95.13067544, 98.32691509,\n", - " 94.36691409, 88.17485917, 88.14153844, 100.24399373,\n", - " 57.78499581, 140.49894532, 80.34794128, 75.25922281,\n", - " 98.77354078, 97.52773854, 67.90588486, 72.59757455,\n", - " 85.14527713, 94.57199549, 92.63821383, 88.9707441 ,\n", - " 88.98426343, 93.52582453, 86.38499388, 93.09901832,\n", - " 92.2612136 , 122.26495809, 91.72449364, 63.86811303,\n", - " 95.56533309, 85.32035737, 68.66567311, 96.54102139,\n", - " 84.27978199, 71.54310815, 85.31683695, 63.35110457,\n", - " 121.29452387, 123.25064985, 95.44748785, 88.7553161 ,\n", - " 87.8916916 , 96.07409986, 87.14270664, 96.37255642,\n", - " 96.21256266, 95.63267653, 85.48903628, 113.30876254,\n", - " 45.44392661, 46.77622409, 76.3485374 , 96.91378803,\n", - " 85.55988741, 47.28017795, 58.04529668, 87.42857439,\n", - " 96.9586717 , 92.98259919, 71.95539302, 24.94680588,\n", - " 94.78194873, 85.41655455, 98.14402912, 85.56579641,\n", - " 92.68172734, 93.20820798, 88.43065681, 96.65026839,\n", - " 88.78775137, 78.08810596, 95.44055266, 89.40577083,\n", - " 98.20216865, 136.57612649, 88.67023815, 96.45681244,\n", - " 68.61465281, 55.67796803, 97.49520425, 96.98355807,\n", - " 95.68203548, 96.1684163 , 99.1339944 , 130.71859391,\n", - " 85.97796555, 100.35487119, 101.04318976, 117.56307285,\n", - " 86.05371128, 84.21085364, 81.14345591, 65.72032615,\n", - " 65.97865691, 91.09894798, 86.45313107, 98.73220573,\n", - " 96.23339783, 42.29084526, 42.54740219, 66.82394581,\n", - " 98.08489113, 96.42115519, 63.10753812, 94.56040043,\n", - " 97.63963247, 95.59442785, 81.40159466, 75.17068933,\n", - " 91.00453385, 96.92464906, 97.31753127, 96.60909697,\n", - " 96.38361991, 77.84764389, 105.81593727, 97.94443016,\n", - " 83.055329 , 110.28849559, 79.82361191, 92.74853651,\n", - " 93.90192153, 84.59382027, 92.94720835, 96.0058006 ,\n", - " 85.99193483, 89.34918658, 138.06890025, 119.65127576,\n", - " 147.66071225, 126.78212907, 74.16837593, 73.2078514 ,\n", - " 84.74559124, 95.75252029, 96.7838989 , 95.52566292,\n", - " 134.95033266, 96.8572475 , 97.40913427, 73.11682108,\n", - " 131.1729539 , 86.07591844, 87.56389887, 94.02363491,\n", - " 95.86262264, 66.7800722 , 121.32889712, 96.11979375,\n", - " 109.18841367, 88.41455 , 85.1399792 , 85.7737965 ,\n", - " 86.94120405, 113.47900104, 140.29672388, 95.71974007,\n", - " 93.23005539, 93.10550216, 46.07634211, 94.29616559,\n", - " 95.02301599, 87.65546416, 83.89189917, 85.84798676,\n", - " 67.65801694, 88.21494004, 65.06728254, 92.45348497,\n", - " 96.55245653, 95.73975795, 94.38318946, 88.93703766,\n", - " 89.69047379, 93.82573186, 94.4240325 , 78.54694559,\n", - " 93.5648048 , 87.60813974, 87.55723063, 82.73641137,\n", - " 118.40151909, 101.14074654, 83.92825695, 90.84586859,\n", - " 136.10242676, 85.22277353, 87.60598679, 101.48195487,\n", - " 91.85425319, 93.86185036, 89.06044443, 97.79317418,\n", - " 127.35269683, 89.28701495, 94.47128277, 87.49889929,\n", - " 89.31875929, 86.69312702, 89.39590556, 88.67563049,\n", - " 85.26663029, 96.83794903, 84.8090217 , 92.64226909,\n", - " 84.65606196, 74.35067544, 92.38677416, 86.61600732,\n", - " 87.48507703, 116.85797617, 87.28853108, 94.66595787,\n", - " 95.9855911 , 86.35047622, 66.0859018 , 89.97910464,\n", - " 93.54728641, 91.22965131, 114.94372691, 121.05956465,\n", - " 97.41219453, 71.80103879, 90.11113259, 93.32193444,\n", - " 97.56403633, 136.64521169, 72.27571382, 149.47224101,\n", - " 113.18337228, 70.38680226, 68.64116655, 147.27157348,\n", - " 89.8874191 , 89.57380297, 108.57305428, 100.97988211,\n", - " 65.7303796 , 65.33487541, 95.1654851 , 94.68080325,\n", - " 88.84190828, 96.61427091, 102.75009662, 137.28636901,\n", - " 84.5741443 , 147.3716512 , 77.8775584 , 97.39938111,\n", - " 97.40725136, 96.4075231 , 87.323296 , 86.05410785,\n", - " 96.87277364, 87.95270507, 91.96072646, 94.5825567 ,\n", - " 98.761606 , 86.6981784 , 84.72254741, 91.33245538,\n", - " 82.03759408, 84.82457968, 72.6517428 , 89.09419149,\n", - " 89.10803681, 88.6168311 , 97.34408278, 85.29372085,\n", - " 70.07194378, 71.2818976 , 113.97322979, 65.28162541,\n", - " 88.31018725, 107.51493547, 88.95407738, 93.17470596,\n", - " 87.55494042, 87.55492263, 86.05484459, 86.41066642,\n", - " 84.60914496, 97.03234963, 96.43513224, 67.42848896,\n", - " 61.98212044, 96.98442308, 96.43011199, 83.80679337,\n", - " 73.49762325, 95.82298715, 92.46126113, 84.42554094,\n", - " 120.80703738, 88.24567709, 91.87482641, 83.23039654,\n", - " 98.40871751, 52.55848567, 67.24212508, 105.66404199,\n", - " 72.15172291, 92.26404333, 89.90666481, 55.29384162,\n", - " 94.25833225, 79.48880753, 115.72077981, 91.85783249,\n", - " 85.20812975, 75.12784198, 129.27155266, 44.85018263,\n", - " 62.45181711, 96.4984278 , 68.59017391, 83.65394332,\n", - " 63.28973995, 82.0855995 , 59.9946195 , 92.06090689,\n", - " 125.51192274, 84.26372783, 68.87097287, 79.51884937,\n", - " 87.67697972, 102.41938054, 85.85267631, 77.71776985,\n", - " 96.87289222, 64.91789031, 89.41972003, 102.10888085,\n", - " 96.36042336, 95.32773947, 88.0180026 , 76.16515038,\n", - " 97.41268988, 90.99688686, 92.62425154, 45.28376996,\n", - " 115.46001362, 106.63986626, 85.48248441, 85.73234954,\n", - " 77.53973363, 95.67676869, 103.58391893, 89.42576132,\n", - " 81.47248202, 96.02673209, 149.03570638, 88.08007205,\n", - " 69.55516455, 85.11491725, 96.83194251, 103.26703896,\n", - " 64.6798638 , 74.00240195, 80.98931535, 79.8157558 ,\n", - " 89.73600385, 92.90187442, 92.04537517, 88.57297914,\n", - " 93.52450127, 84.50886234, 100.56496329, 88.35924897,\n", - " 112.96552953, 86.17011085, 64.22225128, 85.26402463,\n", - " 98.07176013, 43.42860815, 69.98917999, 87.06679356,\n", - " 85.76146217, 85.86888073, 67.3976752 , 82.20913019,\n", - " 73.55993482, 83.26469956, 87.21268421, 89.71604679,\n", - " 97.18361971, 69.21210051, 87.94829907, 60.21687045,\n", - " 88.40672088, 82.65020876, 85.53711208, 93.75620977,\n", - " 58.07074809, 61.58968715, 84.56342928, 53.2332809 ,\n", - " 93.78288532, 99.38491906, 94.54883812, 93.75752936,\n", - " 96.21256189, 86.05416234, 68.75761236, 86.1057082 ,\n", - " 82.86177355, 125.14531189, 82.55813027, 87.46703279,\n", - " 84.42220341, 75.92974124, 86.4613734 , 84.17766575,\n", - " 83.00476466, 89.9120701 , 81.42801276, 143.05542666,\n", - " 149.02333522, 59.39335424, 76.98551552, 134.34646682,\n", - " 118.65551836, 87.02682441, 97.41219451, 77.97665319,\n", - " 49.93400201, 142.4487785 , 73.92423226, 71.60299674,\n", - " 90.72710674, 59.38821259, 88.97735688, 85.0895859 ,\n", - " 93.01038348, 98.25464092, 133.37757438, 97.80446381,\n", - " 82.99125011, 72.98934151, 85.0516368 , 94.49169457,\n", - " 89.9351469 , 83.43911083, 127.35753805, 86.92677875,\n", - " 121.40936273, 90.31975897, 86.20133559, 86.90157503,\n", - " 90.64608999, 77.32447247, 87.02020912, 87.0531398 ,\n", - " 97.59852753, 95.23141891, 90.81527891, 98.26547477,\n", - " 72.30681698, 135.00171773, 93.08294155, 76.54937701,\n", - " 69.12408938, 85.83854977, 93.50642862, 54.20744866,\n", - " 96.13160034, 130.3245474 , 85.01753805, 92.22875748,\n", - " 71.67186216, 86.23232716, 87.72102121, 72.4032671 ,\n", - " 94.01031158, 38.47261248, 91.12403525, 96.86136454,\n", - " 64.22612915, 91.77410293, 86.5259549 , 88.30345878,\n", - " -1.6634491 , 67.40555267, 64.42860038, 155.05727092,\n", - " 87.45709062, -0.43095369, -0.79489245, 99.83234406,\n", - " 65.620265 , 86.01485237, 93.13029578, 31.07100791,\n", - " 15.48271934, 132.90382138, 80. , 39.99 ,\n", - " 175.59321398, 150. , 1.72776122, 159.45446697,\n", - " 176.35758565, 87.29369525, 158.508496 , 98.38011512,\n", - " 97.98592854, -0.45908113, 171.63515904, 38.7616731 ,\n", - " 55.58263594, 174.12615625, 121.48003766, 132.24260305,\n", - " 84.11600768, 75.52286699, 139.99 , 159.87560151,\n", - " 0. , 0. , 58.06338977, 74.77701558,\n", - " 46.194113 , 64.28529793, 32.24387951, 42.31905477,\n", - " 26.77547469, 35.82773295, 53.88644457, 45.04376869,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 78.54832774, 129.1332883 , 89.37582095, 63.00779624,\n", - " 97.9551802 , 98.13585444, 99.0827652 , 96.04238438,\n", - " 78.96241241, 46.84324863, 96.96322078, 98.28631302,\n", - " 99.07844414, 90.70313487, 91.02653569, 92.52679361,\n", - " 78.94841661, 79.88483637, 78.18499447, 89.26504555,\n", - " 92.96084268, 91.96492745, 88.75380498, 83.55712547,\n", - " 98.78619123, 97.40887593, 88.61512286, 89.43900395,\n", - " 63.07425236, 146.48681207, 101.74488679, 91.70008486,\n", - " 95.95433152, 55.69982899, 91.33488786, 61.84263659,\n", - " 81.93966267, 72.38241581, 38.24334147, 52.73848326,\n", - " 87.10594681, 89.45407489, 90.39518031, 85.32380613,\n", - " 98.92471771, 66.9259536 , 94.46916897, 73.09509444,\n", - " 98.95655156, 137.24997744, 96.3939788 , 95.58997644,\n", - " 92.67327183, 98.76338681, 65.23785113, 97.64472799,\n", - " 97.45437714, 124.20263418, 93.16606522, 70.71395728,\n", - " 86.47701268, 84.02196282, 76.72608545, 76.66659182,\n", - " 73.7951318 , 80.23408865, 72.26106691, 69.95162895,\n", - " 85.25020707, 366.35023778, 72.7451191 , 80.58164721,\n", - " 91.89700454, 92.42905361, 87.55446892, 84.52005667,\n", - " 36.2500262 , 92.61194866, 89.19672451, 75.96601412,\n", - " 47.66048475, 116.28734246, 104.30229444, 100.7021884 ,\n", - " 96.73093126, 96.3228923 , 86.51748074, 93.21441653,\n", - " 93.28147858, 43.32300393, 37.80453849, 83.86509874,\n", - " 71.39634249, 69.4961027 , 114.51454401, 100.63611118,\n", - " 98.26946808, 98.279174 , 43.75897782, 78.89127758,\n", - " 125.90014601, 133.27625284, 86.92897175, 117.96052561,\n", - " 89.36448191, 88.91445348, 76.97704885, 95.57954996,\n", - " 96.01448324, 92.55867812, 96.73922626, 92.45263198,\n", - " 146.09935337, 87.70855727, 76.76429727, 148.84378042,\n", - " 99.76297007, 117.63119899, 110.69144319, 149.55974182,\n", - " 118.94563177, 80.76514207, 82.36775743, 90.2739409 ,\n", - " 93.50389143, 145.27713966, 93.41588166, 92.94118704,\n", - " 112.99986385, 112.58697034, 94.39479809, 86.94444019,\n", - " 96.03897655, 95.74126924, 81.64080109, 83.80481318,\n", - " 92.5869557 , 97.97698901, 97.25366514, 97.25530098,\n", - " 92.96990072, 90.86503293, 77.29722446, 85.60189103,\n", - " 92.92430489, 96.72984719, 96.58045206, 76.79303975,\n", - " 79.10791671, 117.05271727, 85.50967428, 72.03452978,\n", - " 143.7470982 , 143.19516014, 117.44470927, 92.23254356,\n", - " 87.21447959, 87.94928232, 94.9914238 , 44.9782429 ,\n", - " 45.91288929, 97.7270872 , 82.74707252, 78.42692265,\n", - " 86.47785275, 86.47775329, 133.49269896, 115.68486605,\n", - " 87.12487951, 96.44349848, 84.69306663, 90.28436958,\n", - " 87.81015158, 75.01491269, 63.53245516, 97.89615379,\n", - " 98.63180782, 75.89612188, 75.80356719, 96.36838537,\n", - " 98.79336719, 83.76555694, 92.06314012, 96.05304122,\n", - " 94.01706405, 53.16700742, 84.07968282, 78.75744596,\n", - " 79.73524261, 67.35672872, 62.0850262 , 90.60016053,\n", - " 54.50627154, 96.35466803, 99.61809236, 97.83556666,\n", - " 87.90475834, 92.03358736, 133.44087669, 92.22894958,\n", - " 98.41806615, 141.24617701, 87.92953677, 91.7164735 ,\n", - " 134.47649484, 89.32194569, 89.21799955, 83.94636248,\n", - " 94.38353431, 97.0791469 , 97.62223085, 114.99174556,\n", - " 110.79923637, 123.58854939, 96.21774106, 79.49053039,\n", - " 98.80480577, 98.80509364, 111.59238765, 110.9133955 ,\n", - " 87.79796563, 58.82941412, 76.30965827, 118.16535114,\n", - " 87.46145878, 95.40810329, 75.94221831, 75.34669053,\n", - " 86.42285147, 84.7156946 , 82.57037297, 87.58369163,\n", - " 117.31341523, 115.6327941 , 97.79833789, 88.16088426,\n", - " 76.90242642, 87.82486231, 93.53468165, 117.30629621,\n", - " 98.22167681, 96.5221989 , 84.92392833, 96.60265265,\n", - " 93.7194741 , 117.65477464, 61.77201583, 51.7683897 ,\n", - " 59.97680874, 87.08825894, 86.11581416, 144.5806812 ,\n", - " 115.04394621, 90.3776168 , 95.55660167, 98.67693166,\n", - " 88.95130643, 97.20937052, 89.31425943, 67.53723536,\n", - " 69.0506549 , 97.45673872, 89.17152453, 78.74876259,\n", - " 90.60853464, 54.45387269, 62.05107065, 72.67382598,\n", - " 97.24789424, 130.28157419, 76.46909767, 82.18103229,\n", - " 96.64030663, 87.5452971 , 87.33280216, 87.37061072,\n", - " 89.09461532, 83.91996396, 108.97804902, 106.12504008,\n", - " 71.03735233, 92.63265454, 92.33853402, 93.36751968,\n", - " 97.91117165, 76.07316591, 89.27819383, 75.65994659,\n", - " 63.75851632, 61.97886656, 143.62603188, 111.95704533,\n", - " 56.15079374, 58.09405772, 122.34036048, 110.48510895,\n", - " 73.14547934, 134.10846788, 58.43410012, 71.26144587,\n", - " 91.2457827 , 95.92191288, 85.59680871, 95.23898101,\n", - " 97.71845435, 82.9184225 , 85.83767446, 95.23926269,\n", - " 125.02817082, 94.74056084, 89.20049399, 96.2999488 ,\n", - " 68.33483127, 67.91401016, 141.9918049 , 142.26326658,\n", - " 94.49919356, 61.0630387 , 91.81480887, 82.42679973,\n", - " 86.47718428, 89.50829113, 66.72764897, 65.8283847 ,\n", - " 87.00612099, 79.23160326, 88.26139048, 103.23043321,\n", - " 92.99493421, 94.1785378 , 94.18654636, 137.37122917,\n", - " 88.25418599, 88.76904452, 79.62734743, 77.93500762,\n", - " 143.77367241, 140.51382688, 97.91932083, 91.38291588,\n", - " 117.86885693, 102.89050269, 143.73964575, 117.58350345,\n", - " 91.2521442 , 90.93169042, 94.63566565, 103.85723926,\n", - " 80.22650504, 56.25981527, 94.81192213, 95.47396463,\n", - " 88.25781828, 88.36836709, 89.71445675, 92.52978064,\n", - " 146.66369051, 141.23167537, 96.85054953, 86.57605169,\n", - " 91.42863795, 89.70843769, 95.8542067 , 94.86896427,\n", - " 97.76697386, 127.77520284, 138.20098403, 97.63458291,\n", - " 97.80576768, 96.90665342, 96.15838522, 94.27582023,\n", - " 88.87485813, 96.66472673, 86.58727651, 83.77857928,\n", - " 92.76505129, 84.23940147, 83.2347626 , 139.40969458,\n", - " 91.08310213, 113.64482941, 92.75991854, 97.22117461,\n", - " 90.83757503, 74.2393117 , 31.75271361, 96.42871126,\n", - " 99.45726338, 120.94115579, 96.27349963, 96.82749156,\n", - " 91.60448945, 51.78637329, 77.80667913, 96.77592936,\n", - " 87.63537818, 82.32308814, 121.56098667, 97.23606844,\n", - " 97.11209257, 95.57855721, 55.89546816, 97.80811837,\n", - " 86.67914658, 101.16066176, 95.53053677, 98.72286782,\n", - " 94.75734434, 88.57319944, 88.53987873, 100.51234696,\n", - " 58.18280328, 140.50923664, 80.74318546, 75.66561099,\n", - " 99.15367666, 97.90787442, 68.41526486, 73.09417515,\n", - " 85.54232188, 94.9679833 , 93.04455085, 89.36908419,\n", - " 89.38260366, 93.92305901, 86.78160799, 93.49662265,\n", - " 92.65910789, 123.48919228, 92.11648993, 64.26010932,\n", - " 95.96229047, 85.65614457, 68.99988657, 96.9379966 ,\n", - " 84.6992343 , 71.93971988, 85.73977392, 63.79994011,\n", - " 121.80248561, 123.75861159, 95.64912972, 89.15225823,\n", - " 88.28864655, 96.46834731, 87.54909482, 96.76680388,\n", - " 96.618918 , 96.03903186, 85.88809462, 113.51896018,\n", - " 45.84856782, 47.18086531, 76.73379815, 97.31257732,\n", - " 85.96627559, 47.65162321, 58.45168486, 87.85151135,\n", - " 97.35288898, 93.36213957, 72.37832999, 25.36974285,\n", - " 95.17802284, 85.8129732 , 98.54096424, 85.96250979,\n", - " 93.05772689, 93.60522469, 88.82768775, 97.04762893,\n", - " 89.12353858, 78.42389316, 95.83967285, 89.80527577,\n", - " 98.59898934, 137.8607285 , 89.02277106, 96.80934535,\n", - " 68.97770872, 56.04102394, 97.89223958, 97.36259976,\n", - " 96.07763461, 96.56401544, 99.46546608, 130.72888522,\n", - " 86.37815492, 100.68757889, 101.37589746, 117.77052952,\n", - " 86.47664825, 84.6337906 , 81.54809712, 66.05611335,\n", - " 66.31444411, 91.49458108, 86.85025175, 99.12780487,\n", - " 96.63963281, 42.68865273, 42.94520966, 67.22175327,\n", - " 98.4815176 , 96.81804664, 63.52712742, 94.94053631,\n", - " 98.036535 , 95.97456374, 81.78173054, 75.5684968 ,\n", - " 91.40151342, 97.32209857, 97.714989 , 97.00606883,\n", - " 96.78062539, 78.27058085, 105.81593727, 98.34133843,\n", - " 83.45235442, 111.66470207, 80.29107061, 93.14548615,\n", - " 94.29889144, 85.02030691, 93.34429925, 96.40568171,\n", - " 86.4148718 , 89.74809626, 138.08068621, 120.1592375 ,\n", - " 147.66071225, 126.78212907, 74.5913129 , 73.63078837,\n", - " 85.14022832, 96.14953834, 97.1808989 , 95.92268469,\n", - " 136.17456668, 97.25424232, 97.80338513, 73.58427979,\n", - " 131.21435559, 86.47303629, 87.96292189, 94.43002309,\n", - " 96.2337252 , 67.11649526, 121.32889712, 96.49148694,\n", - " 109.41901098, 88.74808951, 85.53119815, 86.17040289,\n", - " 87.33781125, 113.70920609, 141.52095031, 96.1188001 ,\n", - " 93.62704611, 93.47719535, 46.47327452, 94.68750404,\n", - " 95.41915061, 88.05184963, 84.29285353, 86.18377396,\n", - " 67.99380414, 88.6115726 , 65.4902195 , 92.49488666,\n", - " 96.95884471, 96.14609158, 94.77743691, 89.31619099,\n", - " 90.06962712, 94.21232771, 94.81062834, 78.58834728,\n", - " 93.95211963, 87.99545457, 87.91504082, 83.14279955,\n", - " 118.90060458, 101.63983203, 84.34770927, 91.23786489,\n", - " 136.61038849, 85.61922534, 88.00205081, 101.85248271,\n", - " 92.22478104, 94.25735617, 89.40850308, 98.18867999,\n", - " 127.85178231, 89.68777692, 94.84854236, 87.89601998,\n", - " 89.71587997, 87.09007169, 89.79632324, 89.07604816,\n", - " 85.6860826 , 97.23700781, 85.22847401, 93.02161758,\n", - " 85.07899893, 74.77361241, 92.78458969, 87.01312801,\n", - " 87.88219771, 117.11118226, 87.69491926, 95.07234605,\n", - " 96.384409 , 86.7568644 , 66.49228998, 90.38549282,\n", - " 93.94426074, 91.62662564, 114.9851286 , 122.43577113,\n", - " 97.80645102, 72.2976394 , 90.50997979, 93.63699545,\n", - " 97.94417221, 136.64521169, 72.66771011, 149.47224101,\n", - " 114.40760629, 70.7838117 , 69.03817599, 147.27157348,\n", - " 90.28627145, 89.96469392, 108.61445597, 101.0212838 ,\n", - " 66.0661668 , 65.67066261, 95.5574814 , 95.0754698 ,\n", - " 89.23802218, 97.01208867, 102.95228137, 138.51060259,\n", - " 84.99708126, 147.3716512 , 78.33423909, 97.79361403,\n", - " 97.80149875, 96.78485636, 87.71936144, 86.47704481,\n", - " 97.26984731, 88.34982576, 92.35660522, 94.97949095,\n", - " 99.15684485, 87.10456658, 85.11718629, 91.72712036,\n", - " 82.43461942, 85.22160502, 73.05813098, 89.49077477,\n", - " 89.50445956, 89.01340979, 97.74118093, 85.71665781,\n", - " 70.40425332, 71.67901545, 115.34943627, 65.61741261,\n", - " 88.54078456, 107.77575924, 89.35180215, 93.43552973,\n", - " 87.9127506 , 87.91273281, 86.47778156, 86.80745031,\n", - " 85.00609163, 97.42656863, 96.82935124, 67.82510021,\n", - " 62.37873169, 97.38223032, 96.82707205, 84.21318155,\n", - " 73.83164455, 96.21852331, 92.84032647, 84.83192912,\n", - " 120.80703738, 88.65206822, 92.25210139, 83.62128749,\n", - " 98.78605079, 52.98828114, 67.61882989, 105.70544368,\n", - " 72.54294187, 92.66194426, 90.30486208, 55.6516518 ,\n", - " 94.63559185, 79.87969848, 115.72077981, 92.24330456,\n", - " 85.60454628, 75.55077894, 129.27155266, 45.23031851,\n", - " 62.84962456, 96.88998839, 68.92596111, 83.69534501,\n", - " 63.66084251, 82.47759579, 60.38661579, 92.46726222,\n", - " 125.51192274, 84.46591258, 69.26798231, 79.56025106,\n", - " 88.07352894, 103.79558702, 86.25906449, 77.97241269,\n", - " 97.27071033, 65.31489974, 89.82610821, 103.48508732,\n", - " 96.73775663, 95.70507274, 88.41457978, 76.55604133,\n", - " 97.80694727, 91.39400755, 93.0037661 , 45.68157743,\n", - " 115.95909911, 107.86409394, 85.8796051 , 86.12947023,\n", - " 77.74191839, 96.07483683, 104.86852094, 89.82617899,\n", - " 82.69670949, 96.40406536, 149.03570638, 88.47677566,\n", - " 69.95297202, 85.50911078, 97.23005258, 103.76612444,\n", - " 65.18924379, 74.38849146, 81.45677405, 80.21270117,\n", - " 90.13314876, 94.12610204, 92.42228121, 88.96962662,\n", - " 93.85912618, 84.91525052, 100.60636498, 88.75627991,\n", - " 113.43986492, 86.56723154, 64.62863946, 85.66080852,\n", - " 98.46912046, 43.82555353, 70.32148954, 87.4638949 ,\n", - " 86.15801365, 86.26600141, 67.79548265, 82.63206715,\n", - " 74.93614129, 83.66172497, 87.60935882, 90.12243667,\n", - " 97.56052575, 69.60909011, 88.34540041, 60.72625044,\n", - " 88.44812257, 83.05659989, 86.82171409, 94.13244258,\n", - " 58.47713627, 61.98621227, 84.95760597, 53.63423526,\n", - " 94.17998131, 99.76304127, 94.94443726, 94.15699453,\n", - " 96.61891723, 86.4770993 , 69.09148392, 86.52864517,\n", - " 83.25595024, 126.52151837, 82.98106723, 87.85882134,\n", - " 84.81684294, 76.35622788, 86.85600899, 84.57230134,\n", - " 83.42421697, 90.30751924, 81.82346189, 143.06571797,\n", - " 149.02333522, 59.90273424, 77.40845249, 134.35825277,\n", - " 118.65551836, 87.44627672, 97.806451 , 78.39959016,\n", - " 50.33101144, 142.45906982, 74.35184315, 72.88759874,\n", - " 91.12575007, 59.78345678, 89.37267204, 85.48841359,\n", - " 93.40746462, 98.6347768 , 133.37757438, 98.18435866,\n", - " 83.41070243, 73.41582815, 85.44858419, 94.88779296,\n", - " 90.34153803, 83.84550196, 128.58176482, 87.32544068,\n", - " 121.40936273, 90.72614847, 86.59808085, 87.29818223,\n", - " 91.04075716, 77.74740944, 87.41445657, 87.44738725,\n", - " 97.97788206, 95.62327315, 91.21409308, 98.66283495,\n", - " 72.70723465, 135.50967947, 93.47760872, 76.94718448,\n", - " 69.52189685, 86.23277052, 93.54783031, 55.58365514,\n", - " 96.53034184, 130.83250913, 85.41217693, 92.62315297,\n", - " 72.06898285, 86.62944784, 88.1181419 , 72.82620407,\n", - " 94.40910518, 38.90240795, 91.5209562 , 97.25947515,\n", - " 64.8775443 , 92.18049111, 86.92307275, 88.70057664,\n", - " -1.6634491 , 67.86859603, 64.94864496, 155.08842961,\n", - " 87.81520346, -0.43093045, -0.79486913, 100.2071159 ,\n", - " 66.06490835, 86.28582532, 93.49634051, 31.71655996,\n", - " 15.9128777 , 134.12804815, 80. , 39.99 ,\n", - " 176.49027799, 150. , 1.72776122, 160.32884823,\n", - " 177.24996282, 87.5443567 , 158.98283139, 98.77513065,\n", - " 98.38104918, -0.45900628, 171.84569524, 39.08917429,\n", - " 55.95594634, 175.27765268, 122.13068546, 133.46683724,\n", - " 84.15740936, 76.17432432, 139.99 , 160.75535076,\n", - " 0. , 0. , 58.58071141, 74.97447309,\n", - " 46.194113 , 64.29548869, 33.62884558, 42.31905477,\n", - " 26.77547469, 36.47930554, 53.88644457, 45.44965518,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 78.92846208, 129.13740798, 89.74532058, 63.37729586,\n", - " 98.40531866, 98.61894344, 99.56629437, 96.40510915,\n", - " 79.39561243, 47.27603121, 97.37905868, 98.70031633,\n", - " 99.19169255, 91.0762892 , 91.48776123, 92.98801914,\n", - " 79.40475712, 80.35882286, 78.66783259, 89.74788367,\n", - " 93.32308309, 92.32666045, 89.21684228, 102.40974665,\n", - " 99.18804604, 97.80840716, 89.07877631, 90.25837441,\n", - " 63.89362282, 146.55604506, 101.78467673, 92.51942408,\n", - " 96.77366915, 56.09954853, 91.7478083 , 62.24235617,\n", - " 82.33938191, 72.78213505, 38.6430609 , 53.13820276,\n", - " 87.59154419, 89.93967227, 90.8077267 , 85.72772151,\n", - " 99.43968693, 67.08213733, 103.0899752 , 73.24094485,\n", - " 99.46150975, 137.25409713, 96.76201601, 95.96660845,\n", - " 93.167199 , 99.27497299, 65.72344851, 98.13032537,\n", - " 97.93997453, 124.55098352, 93.22234806, 71.06230663,\n", - " 87.29803259, 84.90008151, 94.33913836, 94.27964472,\n", - " 74.19485161, 80.63380846, 90.79468416, 88.48524619,\n", - " 85.64992811, 366.75913835, 73.14483913, 80.98136645,\n", - " 95.74567978, 96.27772885, 88.37383939, 93.14086291,\n", - " 44.87083243, 97.7547367 , 94.6117358 , 93.57906703,\n", - " 48.04490555, 116.6356967 , 104.65064869, 100.84803882,\n", - " 97.54964165, 97.14088672, 86.91720195, 98.06955978,\n", - " 98.16298892, 43.72272327, 38.20425788, 102.69917462,\n", - " 71.79606249, 69.89582251, 114.86289801, 100.98446517,\n", - " 98.78105426, 98.79076018, 60.36939393, 95.50169369,\n", - " 126.24852879, 133.27625284, 86.96876168, 117.96052561,\n", - " 89.79027246, 89.34026999, 94.59010175, 100.37539968,\n", - " 96.82338063, 93.54237926, 101.35205333, 97.06545905,\n", - " 146.09935337, 88.08046821, 77.1362082 , 148.84378042,\n", - " 104.37579714, 117.78592726, 110.84617146, 149.55974182,\n", - " 118.94563177, 81.11953767, 82.72278554, 90.63440909,\n", - " 93.86435961, 145.34637264, 93.77856046, 93.30386584,\n", - " 113.33246628, 112.89404018, 94.88039547, 87.43003757,\n", - " 100.79499621, 100.50536095, 99.253854 , 101.41786608,\n", - " 92.96859135, 98.46258639, 97.69907959, 97.6995096 ,\n", - " 93.03122902, 90.92636123, 94.91027736, 103.21494394,\n", - " 97.80900841, 97.15967346, 97.01298667, 77.17467539,\n", - " 97.64153395, 117.12211325, 104.1844818 , 72.44357586,\n", - " 143.7470982 , 143.19927982, 117.82913006, 96.84537063,\n", - " 91.54745121, 92.24048405, 95.39095503, 45.40296289,\n", - " 46.33619243, 98.1709797 , 100.36012542, 96.03997555,\n", - " 104.09090565, 104.09080619, 133.56187095, 115.75280983,\n", - " 91.4696215 , 96.84302971, 85.10265158, 90.69395454,\n", - " 92.19443548, 75.41463196, 63.93217442, 98.38744297,\n", - " 99.12784536, 76.29584105, 76.20328639, 96.85645284,\n", - " 99.19289842, 84.17589511, 92.47388345, 96.87227985,\n", - " 94.83638037, 53.59276049, 84.48397558, 79.16173872,\n", - " 80.14110843, 67.76259454, 62.53088693, 91.05403746,\n", - " 54.95213227, 100.24911197, 103.56520912, 98.19829143,\n", - " 94.61392311, 98.74275213, 133.44632199, 92.72121187,\n", - " 98.91509925, 141.2502967 , 88.37873167, 92.12921075,\n", - " 134.63173537, 89.74671687, 89.64299901, 84.35006084,\n", - " 94.78688336, 97.58148884, 98.12439411, 115.26450944,\n", - " 111.09363976, 123.62833934, 96.65967735, 79.93246668,\n", - " 99.22063446, 99.2209281 , 111.84557412, 111.16768053,\n", - " 88.11376037, 59.14520886, 76.70937751, 118.16535114,\n", - " 87.86575154, 95.6763336 , 76.34193757, 75.7464098 ,\n", - " 86.82257354, 85.12603277, 100.14561185, 104.19410774,\n", - " 117.31341523, 115.6327941 , 98.2108031 , 88.54929693,\n", - " 77.23318255, 88.19663967, 93.95721331, 117.69071701,\n", - " 98.71217305, 96.83781981, 85.23954924, 96.96592422,\n", - " 94.0559948 , 117.65477464, 62.14151546, 52.09914582,\n", - " 60.34630837, 87.35716845, 86.43679804, 144.64991418,\n", - " 115.39232623, 90.75048035, 95.99995462, 99.12234611,\n", - " 89.27101672, 97.60880356, 89.63396972, 68.35660582,\n", - " 69.87002536, 97.49652866, 89.21131447, 79.17641674,\n", - " 91.03640593, 54.82337231, 81.33549184, 91.88900002,\n", - " 97.62251451, 130.35080717, 76.9149584 , 82.62689302,\n", - " 97.45952587, 105.15835 , 104.94585506, 87.78939739,\n", - " 89.51967953, 84.32978008, 109.31065145, 106.45764251,\n", - " 71.44321815, 93.04149612, 92.74737444, 98.30500175,\n", - " 102.84865373, 76.38878683, 89.70392643, 75.9755675 ,\n", - " 64.158236 , 62.37858624, 143.69923254, 112.02916955,\n", - " 56.59665447, 58.53991845, 122.38015042, 110.52489889,\n", - " 73.56426601, 134.45685066, 58.85288679, 71.64018579,\n", - " 98.2845957 , 102.96072588, 86.07250436, 95.55460192,\n", - " 98.03407527, 100.53147541, 103.45072737, 95.68607489,\n", - " 125.3765536 , 95.18734019, 89.68352422, 96.80135248,\n", - " 68.78069199, 68.35987089, 142.15602207, 142.42761025,\n", - " 94.94512381, 61.48182538, 92.63417933, 82.87266046,\n", - " 104.09023719, 89.93410764, 67.11716708, 66.21930111,\n", - " 87.49171838, 96.84465617, 88.68692404, 103.29251551,\n", - " 93.43647067, 94.62015385, 94.62853158, 137.37122917,\n", - " 88.70004672, 89.2259219 , 80.02706668, 78.33472687,\n", - " 143.77367241, 140.51382688, 98.36298654, 91.80844943,\n", - " 118.25327772, 103.27492348, 143.73964575, 117.58350345,\n", - " 91.62609008, 91.30518588, 95.04265345, 104.1643091 ,\n", - " 88.84731128, 64.8806215 , 95.21803619, 95.81146967,\n", - " 88.55222168, 88.73729197, 90.06716622, 93.02319909,\n", - " 146.66369051, 141.23167537, 97.22931171, 87.02191242,\n", - " 91.80285987, 90.08105862, 96.22304354, 95.31573849,\n", - " 98.2347609 , 127.81499278, 138.24077397, 98.04590734,\n", - " 98.21799503, 97.35171768, 96.60352779, 94.72258723,\n", - " 89.24651642, 97.06445038, 86.99314233, 92.39938551,\n", - " 93.16465547, 84.63912006, 83.2347626 , 139.40969458,\n", - " 91.90247457, 113.97743183, 93.12988231, 97.58838803,\n", - " 91.20948596, 74.61122263, 40.37351984, 96.80193453,\n", - " 99.88544656, 120.94115579, 100.70471627, 101.23187378,\n", - " 91.87271977, 52.15633706, 78.07490944, 97.17546059,\n", - " 88.03490941, 82.68576693, 121.92366547, 104.27488145,\n", - " 97.52792681, 95.99439145, 56.32866818, 98.22044939,\n", - " 87.49851704, 101.54508256, 95.86663944, 99.20701021,\n", - " 95.1550289 , 88.96859 , 88.93526873, 100.78511084,\n", - " 58.58252255, 140.51335632, 81.16197213, 76.48498145,\n", - " 104.27101568, 103.04272502, 69.3337105 , 74.00032746,\n", - " 85.96957324, 95.45055755, 93.86387211, 89.76448278,\n", - " 89.77799611, 94.34331945, 87.24395225, 93.9195715 ,\n", - " 93.07123461, 123.83757506, 100.73729616, 72.88091555,\n", - " 96.40745994, 86.02805551, 69.35347045, 97.38479442,\n", - " 85.10352706, 72.40216468, 103.35282682, 64.20182455,\n", - " 121.95721387, 123.91333986, 95.71045802, 89.58647418,\n", - " 88.72257306, 96.88097821, 88.36846527, 97.17943477,\n", - " 97.43825688, 96.85837074, 86.25625628, 113.59216083,\n", - " 46.24948818, 47.58178566, 77.20778464, 97.6913395 ,\n", - " 86.78564605, 48.02112284, 59.27105532, 105.46456426,\n", - " 97.76420355, 98.34844945, 89.98901529, 42.98042815,\n", - " 95.65701946, 86.27747078, 98.98916993, 86.41262427,\n", - " 97.1085795 , 94.05075185, 89.27265023, 97.4634634 ,\n", - " 89.49544951, 78.79580409, 96.20535471, 90.15647365,\n", - " 99.05192539, 138.22340729, 89.37067672, 97.15725101,\n", - " 69.40589191, 56.46920712, 98.33590529, 102.21774301,\n", - " 96.57491763, 97.06129845, 99.82868461, 130.73300491,\n", - " 86.70353691, 101.05313256, 101.74145113, 117.83992839,\n", - " 104.08981597, 102.24695832, 81.94901748, 66.42802428,\n", - " 66.68635504, 91.98995659, 87.27578531, 99.62508789,\n", - " 97.45885591, 43.08837207, 43.344929 , 67.62147294,\n", - " 98.94323179, 97.26852275, 80.13754353, 100.01457693,\n", - " 98.48636552, 101.04860436, 86.85577117, 75.96821606,\n", - " 91.83554035, 97.73393065, 98.12645459, 97.44699562,\n", - " 97.21442157, 95.88363376, 105.81593727, 98.79099057,\n", - " 83.87998539, 112.04912286, 81.16918931, 93.59071104,\n", - " 94.73945191, 103.55392415, 93.77194002, 96.74101768,\n", - " 104.02759749, 90.12203231, 138.09201339, 120.31396576,\n", - " 147.66071224, 126.78212907, 92.20107274, 91.24078017,\n", - " 85.54912606, 96.5944231 , 97.62642024, 96.36740359,\n", - " 136.52294868, 97.6999797 , 98.21550732, 74.46239848,\n", - " 131.25414553, 86.8988076 , 88.3324652 , 95.24939355,\n", - " 96.67851079, 67.48971852, 121.32889712, 96.86145072,\n", - " 109.6196553 , 89.10452024, 85.93489651, 86.63307222,\n", - " 87.80044657, 113.91461922, 141.86929842, 96.48681112,\n", - " 94.06102792, 93.84715913, 46.90266462, 95.09079183,\n", - " 95.89567627, 88.5181702 , 84.69293441, 86.5556849 ,\n", - " 68.36571507, 89.0731478 , 83.10327241, 92.5346766 ,\n", - " 97.77821517, 96.96540959, 95.19006781, 94.20089451,\n", - " 94.95433064, 101.25114071, 101.84944135, 78.62813722,\n", - " 101.20167129, 95.24500623, 88.23026389, 83.96217001,\n", - " 119.06482175, 101.8040492 , 84.75200203, 99.85867112,\n", - " 136.76511676, 86.08180119, 88.48128116, 102.29608285,\n", - " 92.66838118, 94.76894236, 89.7341507 , 98.70026617,\n", - " 128.01599948, 89.99071978, 99.23445576, 88.32155353,\n", - " 90.14141352, 87.52411735, 90.11194415, 89.39166907,\n", - " 86.09037536, 97.60360021, 85.63276677, 97.95754665,\n", - " 102.69205183, 92.38429817, 93.18416435, 87.43866156,\n", - " 88.30773127, 117.36243511, 88.51428972, 95.89171651,\n", - " 96.76195934, 87.57623486, 67.31166044, 91.20486328,\n", - " 94.38342184, 92.06578674, 115.02491854, 122.82019192,\n", - " 98.21870854, 73.20379171, 90.88640693, 93.93974214,\n", - " 103.01821283, 136.64521169, 81.28851634, 149.47224101,\n", - " 114.75598829, 71.22967243, 69.48403672, 147.27157348,\n", - " 90.66249341, 90.4502913 , 108.65424591, 101.06107374,\n", - " 66.43807774, 66.04257354, 104.17828763, 95.48431138,\n", - " 89.71534234, 97.41162266, 103.01436367, 138.85898261,\n", - " 102.61013417, 147.3716512 , 78.74700847, 98.20530454,\n", - " 98.21353765, 101.18923711, 88.19851563, 104.09009771,\n", - " 97.71215032, 88.77535931, 92.84993575, 95.38308368,\n", - " 99.69339521, 87.92393704, 85.52608058, 92.13596495,\n", - " 82.8622619 , 85.6492475 , 73.87750144, 89.94574299,\n", - " 89.96872018, 89.47723414, 98.18258103, 103.32971071,\n", - " 70.76472151, 72.10478676, 115.73385706, 65.98932354,\n", - " 88.74142889, 108.03682707, 89.75301036, 93.69659756,\n", - " 88.22797367, 88.22795589, 104.09083446, 87.25072498,\n", - " 85.43989272, 97.83792462, 97.24070723, 68.28756545,\n", - " 62.84119693, 97.78195448, 97.27226398, 85.032552 ,\n", - " 74.18604014, 96.7278543 , 97.7017458 , 85.65129958,\n", - " 120.80703738, 89.47144153, 96.64104694, 84.10688487,\n", - " 103.190433 , 72.40319798, 68.0751704 , 105.74523361,\n", - " 72.94664022, 93.07393772, 90.70566022, 55.96687487,\n", - " 99.02150524, 80.36529587, 115.72077981, 98.95246932,\n", - " 86.06916107, 93.16383184, 129.27155266, 50.25946176,\n", - " 63.24934424, 97.29380213, 69.29787204, 83.73513495,\n", - " 64.1056281 , 91.09840202, 69.00742202, 93.2866011 ,\n", - " 125.51192274, 84.52799488, 69.71384303, 79.600041 ,\n", - " 88.53045718, 104.18000781, 87.07843495, 78.22559916,\n", - " 97.67023807, 65.76076047, 90.64547867, 103.86950812,\n", - " 101.14213737, 100.10945348, 88.87846185, 77.04163871,\n", - " 98.21922668, 91.8195411 , 97.9833345 , 46.0812967 ,\n", - " 116.12331628, 108.21244763, 86.30513865, 86.55500378,\n", - " 77.80400068, 96.48048289, 105.23119974, 90.1417999 ,\n", - " 83.04506223, 100.8084461 , 149.03570638, 88.9353893 ,\n", - " 70.35269133, 85.91985411, 97.63413353, 103.93034161,\n", - " 66.10768944, 74.8641871 , 82.33489275, 80.64609795,\n", - " 90.55821297, 94.47445544, 96.71348294, 89.43057992,\n", - " 94.22863773, 85.73462098, 100.64615492, 89.20124239,\n", - " 113.63054041, 86.99276509, 65.44800992, 86.10408319,\n", - " 98.88495334, 44.2589503 , 70.68195772, 87.89003486,\n", - " 86.61480993, 86.69153497, 68.19520233, 100.24512006,\n", - " 75.32056208, 84.08935595, 88.06918131, 90.94180877,\n", - " 101.85172749, 70.03740015, 88.77154038, 61.64469609,\n", - " 88.48791251, 83.8759732 , 87.18439289, 97.98111781,\n", - " 59.29650673, 62.41304427, 85.36794414, 54.03431614,\n", - " 94.62197887, 104.37581177, 95.44172027, 94.509704 ,\n", - " 97.43825611, 104.09015221, 69.44651203, 104.14181479,\n", - " 83.66628841, 126.90593916, 100.59412014, 88.2631748 ,\n", - " 85.22573599, 94.88984513, 87.26490955, 84.9812019 ,\n", - " 83.82850973, 90.71487006, 82.23081272, 143.06983766,\n", - " 149.02333522, 60.82117989, 95.02150539, 134.36957996,\n", - " 118.65551836, 87.85056948, 98.21870852, 96.01315483,\n", - " 50.77687217, 142.46318951, 93.18591904, 73.25027754,\n", - " 91.50987939, 60.20224345, 89.78027809, 85.86532641,\n", - " 93.83578939, 103.75211582, 133.37757438, 103.25996562,\n", - " 83.81499519, 91.94944539, 85.88244691, 95.29390702,\n", - " 91.16091133, 84.66487527, 128.9301144 , 87.70864119,\n", - " 121.40936273, 91.5455202 , 87.05495823, 87.76081755,\n", - " 91.44959758, 95.36057716, 87.82708747, 87.86001815,\n", - " 102.91536414, 96.02778213, 91.59183664, 99.07866668,\n", - " 73.02285557, 135.66440773, 93.88644914, 77.34690372,\n", - " 69.92161609, 86.6453169 , 93.58762025, 55.96807593,\n", - " 96.91112932, 130.9872374 , 85.82107122, 93.60685411,\n", - " 72.4945164 , 87.05498139, 88.54367545, 90.43688937,\n", - " 94.78742338, 58.31732479, 91.95857804, 97.66353616,\n", - " 65.02279242, 92.99986156, 87.34884406, 89.12634794,\n", - " -1.6634491 , 68.2843965 , 65.87734952, 155.1139539 ,\n", - " 88.13010298, -0.43090116, -0.79483789, 104.14595139,\n", - " 66.46097608, 86.55972543, 93.87807295, 31.926681 ,\n", - " 35.42190958, 134.47639773, 80. , 39.99 ,\n", - " 177.78501851, 150. , 1.72776122, 160.94245697,\n", - " 178.54019478, 87.79299871, 159.17350687, 99.2795323 ,\n", - " 98.91744122, -0.45826531, 171.91936541, 39.43427141,\n", - " 56.34409277, 175.6087224 , 122.07691997, 133.81522002,\n", - " 84.19719929, 76.33050805, 139.99 , 161.37151674,\n", - " 0. , 0. , 58.72543371, 75.02998726,\n", - " 46.194113 , 64.29948179, 34.0153449 , 42.31905477,\n", - " 26.77547469, 36.66146426, 53.88644457, 45.56170063,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 78.76135018, 129.14979041, 89.74720698, 63.37808993,\n", - " 98.69491902, 98.89856144, 99.84589348, 96.72387185,\n", - " 79.67971176, 47.55991555, 97.66797589, 98.99021493,\n", - " 98.91094266, 91.39209624, 91.77484244, 93.27510034,\n", - " 79.21073189, 80.3650496 , 78.94747178, 90.02752618,\n", - " 93.64177111, 92.64565072, 89.50347069, 102.43733832,\n", - " 99.48295081, 98.10441138, 89.36525061, 90.40434952,\n", - " 64.03653052, 146.50621308, 101.53163014, 92.66958774,\n", - " 96.92382763, 56.39537004, 91.96463352, 62.53817779,\n", - " 82.63142465, 73.07416053, 38.93888206, 53.4340241 ,\n", - " 87.73713204, 90.08525462, 91.02249945, 85.87564108,\n", - " 99.71428409, 66.9781009 , 103.12665942, 73.59234658,\n", - " 99.73800716, 137.26465412, 97.07951608, 96.28060412,\n", - " 93.44647796, 99.55030756, 65.86888454, 98.27619539,\n", - " 98.08582235, 124.60871836, 93.34903497, 71.11985043,\n", - " 87.44051612, 84.75768498, 94.32352538, 94.2635872 ,\n", - " 74.49067416, 80.92954105, 90.81778466, 88.50592019,\n", - " 85.94575704, 366.98204095, 73.4406635 , 81.27718712,\n", - " 95.81994941, 96.35199848, 88.52409143, 93.17745072,\n", - " 44.90741024, 97.79857088, 94.65499862, 93.56333873,\n", - " 48.92686856, 116.62171056, 104.63665603, 101.19941507,\n", - " 97.70546438, 97.30434428, 87.21303166, 98.11860466,\n", - " 98.21152567, 44.01854426, 38.50007896, 102.72677941,\n", - " 72.09188664, 70.19164515, 114.85174639, 100.97331007,\n", - " 99.0563888 , 99.06609472, 60.39757828, 95.52989387,\n", - " 125.92198553, 132.78302025, 86.6948335 , 117.46722858,\n", - " 90.07469575, 89.62463836, 94.57429665, 100.42560953,\n", - " 97.0720312 , 93.78075391, 101.40589869, 97.11928293,\n", - " 145.66659153, 87.36165997, 76.41783794, 148.37874471,\n", - " 104.42964401, 117.98106871, 111.04130169, 149.16056546,\n", - " 118.48056744, 80.59998883, 82.18624495, 89.96865119,\n", - " 93.20010328, 145.30079543, 94.043444 , 93.56870006,\n", - " 112.58539524, 112.14213384, 95.02634681, 87.57563888,\n", - " 100.84599125, 100.55619553, 99.23571016, 101.40106591,\n", - " 92.82041843, 98.60922039, 97.98954559, 97.99012349,\n", - " 93.00281861, 90.89709265, 94.93583407, 103.20562936,\n", - " 97.85737945, 97.44652698, 97.29930899, 77.02650201,\n", - " 97.66937625, 117.00079637, 104.21221249, 72.66476286,\n", - " 143.29759947, 143.07467329, 118.30908592, 96.8990391 ,\n", - " 91.60727207, 92.30125222, 95.68694553, 45.66627357,\n", - " 46.59380258, 98.46144857, 100.38600756, 96.06386201,\n", - " 104.08072582, 104.08057785, 133.43751629, 115.63278562,\n", - " 91.52917963, 97.13902009, 85.31748557, 90.9087884 ,\n", - " 92.25312588, 75.71045293, 64.22799173, 98.66637898,\n", - " 99.40636942, 76.59166532, 76.4991098 , 97.03558299,\n", - " 99.48888692, 84.38866887, 92.68717581, 97.02349069,\n", - " 94.98698557, 53.86023112, 84.48400098, 79.161631 ,\n", - " 80.31316471, 67.93465106, 62.82118452, 91.34055685,\n", - " 55.24321615, 100.32079831, 103.6339242 , 98.51703961,\n", - " 94.6545081 , 98.78333711, 133.45314309, 93.00086954,\n", - " 99.19343605, 141.12611295, 88.66392028, 92.34532863,\n", - " 134.82637987, 90.03171301, 89.9278527 , 84.49754526,\n", - " 94.93375605, 97.85872527, 98.40166949, 114.55105989,\n", - " 110.35032811, 123.4497716 , 96.31285786, 79.53302134,\n", - " 99.50951982, 99.50983317, 111.18204179, 110.50317285,\n", - " 87.97319254, 59.0041452 , 77.00519936, 117.73222135,\n", - " 87.86575553, 95.51213173, 76.63775869, 76.04223079,\n", - " 87.11840601, 85.33880528, 100.1747827 , 104.22384219,\n", - " 116.82372207, 115.14372334, 98.42643596, 88.86021761,\n", - " 77.13675291, 88.51344147, 94.24361142, 118.17518697,\n", - " 98.9911801 , 97.17662395, 85.57831138, 97.28476518,\n", - " 94.38585359, 117.16400648, 62.14230523, 52.00261364,\n", - " 60.34709723, 87.71633803, 86.77428609, 144.6000818 ,\n", - " 115.13839835, 90.76767912, 96.2909767 , 99.41262485,\n", - " 89.60772331, 97.90485562, 89.97068651, 68.49849574,\n", - " 70.01191006, 97.24287185, 88.95759513, 79.45978186,\n", - " 91.32118169, 54.82371369, 81.36280091, 91.91633513,\n", - " 97.93383824, 130.30104288, 77.20605156, 82.91798652,\n", - " 97.61080282, 105.14181398, 104.9293168 , 88.02887385,\n", - " 89.80449779, 84.54191243, 108.56319471, 105.70858533,\n", - " 71.61527471, 93.26503728, 92.97092852, 98.35247992,\n", - " 102.89506623, 76.72756849, 89.98838112, 76.31431611,\n", - " 64.45405795, 62.67440819, 143.6131251 , 111.93064977,\n", - " 56.88774747, 58.83101152, 122.13229669, 110.27271772,\n", - " 73.80373156, 134.18805023, 59.09217306, 71.45578269,\n", - " 98.32451891, 103.00064905, 86.09884865, 95.8934061 ,\n", - " 98.37287981, 100.55741111, 103.47576568, 95.9765675 ,\n", - " 125.05142513, 95.47786549, 89.96312417, 97.07877777,\n", - " 69.07177922, 68.65095804, 142.25049466, 142.52168137,\n", - " 95.23600408, 61.72129086, 92.78382066, 83.16375381,\n", - " 104.07973134, 90.218476 , 67.07126044, 66.19191147,\n", - " 87.63730939, 96.83056664, 88.97146059, 103.24418578,\n", - " 93.7284444 , 94.91191533, 94.92029026, 136.88331619,\n", - " 88.99115041, 89.51412388, 80.32288743, 78.63054761,\n", - " 143.32377846, 140.06391198, 98.65355954, 92.09298056,\n", - " 118.75852477, 103.77991864, 143.24948773, 117.09297099,\n", - " 91.94149296, 91.62081868, 95.34606959, 103.41206821,\n", - " 88.88388677, 64.91719691, 95.47495377, 96.14088812,\n", - " 87.80885532, 89.05504493, 90.39141403, 93.30259295,\n", - " 146.18374273, 140.76162113, 97.54234558, 87.31301284,\n", - " 92.11812199, 90.3971383 , 96.54025924, 95.60627835,\n", - " 98.52024967, 127.58514602, 138.01004933, 98.25996896,\n", - " 98.43329205, 97.6412442 , 96.89306141, 95.01312552,\n", - " 89.56304526, 97.36028799, 87.1651991 , 92.43596628,\n", - " 93.4605608 , 84.93494441, 83.21866177, 139.39351578,\n", - " 92.05332672, 113.2303178 , 93.13349048, 97.90615826,\n", - " 90.50091986, 73.8963735 , 40.4100951 , 96.09749035,\n", - " 99.45093426, 120.931595 , 100.76238318, 101.29008462,\n", - " 91.69652597, 52.15639299, 77.89779631, 97.47145248,\n", - " 88.3309008 , 82.94863788, 122.18568317, 104.31480461,\n", - " 97.8168311 , 96.28329574, 56.61253403, 98.43589226,\n", - " 87.64147195, 102.37401179, 96.19667112, 99.48658573,\n", - " 95.26189559, 89.27702893, 89.24370811, 100.07054818,\n", - " 58.87833981, 140.38901146, 81.40144122, 76.62706851,\n", - " 104.312377 , 103.08578149, 68.99585148, 73.72132123,\n", - " 86.2530965 , 95.73039944, 94.0142413 , 90.07291514,\n", - " 90.08643349, 94.63059788, 87.53074505, 94.21785833,\n", - " 93.37324709, 123.51232778, 100.7739641 , 72.91758337,\n", - " 96.69708384, 85.30924699, 68.85630375, 97.67520175,\n", - " 85.10360405, 72.68892018, 103.38182928, 64.0982495 ,\n", - " 122.15465595, 124.11111671, 95.68105686, 89.87095512,\n", - " 89.00727122, 97.09634258, 88.50933381, 97.39479891,\n", - " 97.58840384, 97.00851734, 86.57449202, 113.50605284,\n", - " 46.29474457, 47.62684535, 77.21196445, 98.00437337,\n", - " 86.92650598, 48.02165307, 59.40826053, 105.44811333,\n", - " 97.97825187, 98.39504439, 90.02181006, 43.01322287,\n", - " 95.9375924 , 86.56089773, 99.27904655, 86.69770236,\n", - " 97.17488686, 94.34180689, 89.56400824, 97.75236847,\n", - " 88.77712578, 78.07904653, 96.52387024, 90.48132837,\n", - " 99.34078426, 138.56439444, 89.32987155, 97.11644583,\n", - " 68.97075729, 56.03386443, 98.62647829, 102.26675977,\n", - " 96.85121194, 97.33759353, 99.12670335, 130.74486536,\n", - " 87.0391941 , 100.34938262, 101.03764829, 117.71865734,\n", - " 104.12300415, 102.27991921, 81.99682393, 65.71153596,\n", - " 65.96906236, 92.26641648, 87.56031668, 99.90157153,\n", - " 97.61010474, 43.38419305, 43.64074999, 67.91729491,\n", - " 99.23017402, 97.5581611 , 80.1655411 , 100.05216966,\n", - " 98.77607564, 101.08619724, 86.89338272, 76.26403705,\n", - " 92.12095683, 98.02509 , 98.41772124, 97.73519389,\n", - " 97.50049754, 95.86708974, 105.80609424, 99.08077235,\n", - " 84.16328593, 112.8495562 , 81.0267899 , 93.88017853,\n", - " 95.02743241, 103.57623537, 94.05766521, 97.07137005,\n", - " 104.06046324, 90.43758646, 138.03979985, 120.50910379,\n", - " 147.17810097, 126.29811197, 92.23377229, 91.27350452,\n", - " 85.77206161, 96.88516934, 97.91687371, 96.65817953,\n", - " 136.25693572, 97.99038843, 98.43065718, 74.31999902,\n", - " 131.01861761, 87.18265632, 88.65005805, 95.39896599,\n", - " 96.35995949, 66.77327534, 121.15093539, 96.86522249,\n", - " 108.99754343, 88.53387086, 86.08237975, 86.91975462,\n", - " 88.08713754, 113.28332752, 141.95146785, 96.80432668,\n", - " 94.34674815, 93.85080565, 47.18480548, 95.23728166,\n", - " 96.17677781, 88.8015198 , 84.75577338, 85.8357352 ,\n", - " 67.64405728, 89.3601411 , 83.08653599, 92.30280584,\n", - " 97.92746875, 97.11577106, 95.40543195, 94.24912666,\n", - " 95.00248513, 101.29106387, 101.8893645 , 78.3612531 ,\n", - " 101.24118754, 95.28452087, 88.08980984, 84.11141643,\n", - " 119.14807607, 101.88484867, 84.75189432, 99.89524349,\n", - " 136.96547778, 86.36524572, 88.76173352, 101.96539328,\n", - " 92.32816447, 95.04422786, 89.62688975, 98.97559049,\n", - " 128.10091338, 90.33504077, 99.29262156, 88.60608426,\n", - " 90.42594425, 87.80859122, 90.45073867, 89.73046335,\n", - " 86.09026584, 97.92099302, 85.63265702, 98.00503586,\n", - " 102.72507317, 92.41709353, 93.48009799, 87.72319235,\n", - " 88.592262 , 116.70145574, 88.66355722, 96.04126736,\n", - " 97.07551139, 87.72547943, 67.46090501, 91.3541083 ,\n", - " 94.67091526, 92.35328014, 114.7889588 , 123.32610328,\n", - " 98.43404756, 72.9247853 , 91.20084756, 93.81549527,\n", - " 103.0558057 , 136.24598155, 81.3250887 , 149.10306463,\n", - " 114.48993069, 71.52076559, 69.77512988, 146.78666261,\n", - " 90.97702568, 90.59605164, 108.40112991, 100.80794654,\n", - " 65.72099813, 65.32530962, 104.21524306, 95.70785248,\n", - " 89.99622914, 97.70759838, 102.96731496, 138.60513681,\n", - " 102.6006881 , 146.90630216, 78.65342168, 98.41985468,\n", - " 98.42857132, 101.24744793, 88.47898398, 104.07952384,\n", - " 98.00334938, 89.05989525, 93.12934897, 95.65943154,\n", - " 99.96443147, 88.07319247, 85.74905638, 92.35947352,\n", - " 83.14555552, 85.93254112, 74.01937201, 90.22942512,\n", - " 90.2521529 , 89.76364597, 98.47408833, 103.35878735,\n", - " 70.09812831, 72.38840842, 116.21780335, 65.27028572,\n", - " 88.11926862, 107.37829516, 90.04788079, 93.03802696,\n", - " 88.08640264, 88.08637618, 104.08061991, 87.53469987,\n", - " 85.7243119 , 98.05202641, 97.45480902, 68.57431359,\n", - " 63.12794303, 98.07779375, 97.56196327, 85.18177779,\n", - " 73.66648924, 97.00364655, 97.75063975, 85.80054414,\n", - " 120.62493694, 89.62199987, 96.69960279, 84.25237971,\n", - " 103.24864379, 72.43047078, 67.88114275, 105.49230322,\n", - " 73.09412243, 93.37608333, 91.01203166, 55.82530029,\n", - " 99.0796368 , 80.51079061, 115.23167938, 98.9930543 ,\n", - " 86.35258294, 93.19290316, 128.78664071, 50.29353812,\n", - " 63.54516538, 97.44540996, 68.5615052 , 83.48141359,\n", - " 63.78682882, 91.13498268, 69.04400133, 93.43675206,\n", - " 125.48427975, 84.47956558, 70.00492839, 79.34630726,\n", - " 88.81400892, 104.68523898, 87.2202498 , 77.56157526,\n", - " 97.96622045, 66.05184583, 90.79290904, 104.66979646,\n", - " 101.20034818, 100.16766429, 89.1648806 , 77.18711907,\n", - " 98.43459658, 92.10407183, 98.03003062, 46.37711353,\n", - " 116.20694851, 108.20508473, 86.58964337, 86.83947811,\n", - " 77.75445064, 96.78427939, 105.49895749, 90.4805951 ,\n", - " 83.05041205, 100.86656899, 148.58602153, 89.22314339,\n", - " 70.64851231, 86.13311549, 97.93838663, 104.01215676,\n", - " 65.76982265, 74.88967819, 82.19249161, 80.93030122,\n", - " 90.84303123, 94.47085502, 96.77425094, 89.717731 ,\n", - " 93.5217576 , 85.87782049, 100.39387755, 89.4926004 ,\n", - " 113.66117986, 87.2772386 , 65.58961228, 86.38805808,\n", - " 99.17385298, 44.54315347, 70.01608135, 88.17421179,\n", - " 86.89836211, 86.9760085 , 68.49102277, 100.27814139,\n", - " 76.14535357, 84.37265648, 88.35662375, 91.09240254,\n", - " 101.9124954 , 70.32025186, 89.05571731, 61.30682767,\n", - " 88.23418946, 84.02652889, 87.44925943, 98.05538745,\n", - " 59.43672094, 62.68486279, 85.58071663, 54.09715504,\n", - " 94.91373338, 104.42966213, 95.71783031, 94.83395158,\n", - " 97.5884027 , 104.07960491, 68.90931396, 104.17500504,\n", - " 83.87906092, 127.24975647, 100.62002961, 88.42010233,\n", - " 85.44872793, 94.91294531, 87.48781215, 85.2041045 ,\n", - " 83.82840202, 90.95660384, 82.47254649, 142.94549832,\n", - " 148.62729569, 60.48319139, 95.04706206, 134.31726247,\n", - " 118.18858504, 87.85045974, 98.43404753, 96.04688451,\n", - " 51.06796516, 142.33883644, 93.21349094, 73.5179073 ,\n", - " 91.82153221, 60.44164373, 90.01889856, 86.18038908,\n", - " 94.12155503, 103.78790794, 132.92767176, 103.30384446,\n", - " 83.81488963, 91.97160308, 86.16691347, 95.5508246 ,\n", - " 91.31144355, 84.81320848, 128.98382612, 88.02143662,\n", - " 120.91580516, 91.69603677, 87.34301195, 88.04711574,\n", - " 91.67315165, 95.3933539 , 88.04245155, 88.07538217,\n", - " 102.96166231, 96.18624903, 91.90568955, 99.36756239,\n", - " 73.36108118, 135.86202294, 94.10998972, 77.63784972,\n", - " 70.21243585, 86.86008966, 93.33386796, 56.76822259,\n", - " 97.22329769, 131.18485254, 86.04404702, 93.84522866,\n", - " 72.77895381, 87.33951558, 88.8281488 , 90.4695225 ,\n", - " 95.10091114, 58.33691332, 92.24392283, 97.96779518,\n", - " 64.91875599, 93.14002423, 87.63274045, 89.41074044,\n", - " -1.6634491 , 68.18329665, 65.49221972, 155.06662327,\n", - " 87.99009344, -0.4308853 , -0.79482229, 104.21453012,\n", - " 66.3578305 , 85.92367737, 93.73115938, 31.79523667,\n", - " 35.44918238, 134.53010945, 80. , 39.99 ,\n", - " 175.74027547, 150. , 1.72776122, 160.35325206,\n", - " 176.51622616, 87.13906058, 159.20432353, 99.55572834,\n", - " 99.18839841, -0.45825311, 171.83992764, 38.92223477,\n", - " 56.28034062, 175.6642614 , 121.97288354, 133.54641959,\n", - " 83.92236129, 76.20331768, 139.99 , 160.77597329,\n", - " 0. , 0. , 59.09780966, 75.17315017,\n", - " 46.194113 , 64.31261738, 35.00680878, 42.31905477,\n", - " 26.77547469, 36.55815608, 53.92031183, 45.98739932,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 78.17079018, 129.12230347, 89.48912172, 63.11720546,\n", - " 99.00135572, 99.18738814, 100.1347204 , 97.07690604,\n", - " 79.97326787, 47.85302679, 97.96861406, 99.2919578 ,\n", - " 98.21202111, 91.74161793, 92.07695008, 93.57720797,\n", - " 78.62928147, 80.1563602 , 79.2363074 , 90.31637029,\n", - " 93.99465389, 92.99877733, 89.80483429, 102.46898732,\n", - " 99.79179623, 98.41616285, 89.66636092, 90.4095387 ,\n", - " 64.03385912, 146.33219954, 100.9450004 , 92.68567795,\n", - " 96.93991798, 56.70666782, 92.11905872, 62.84947588,\n", - " 82.93303895, 73.37573056, 39.25017895, 53.74532147,\n", - " 87.78397768, 90.13208616, 91.17272765, 85.89030347,\n", - " 99.99590914, 66.79835724, 103.16232959, 74.04993799,\n", - " 100.02224356, 137.2324893 , 97.43167477, 96.62760433,\n", - " 93.73567386, 99.83312237, 65.91534113, 98.32376411,\n", - " 98.13333422, 124.13838259, 93.49969616, 70.64902511,\n", - " 87.43985604, 84.1289591 , 94.23964088, 94.17856352,\n", - " 74.80197463, 81.24061098, 90.83792457, 88.51984189,\n", - " 86.25707419, 367.14774564, 73.75196862, 81.58848276,\n", - " 95.88979738, 96.42184645, 88.54024074, 93.21287385,\n", - " 44.94280775, 97.84247017, 94.69824252, 93.47915871,\n", - " 50.0262533 , 115.96763348, 103.98256227, 101.65694119,\n", - " 97.73402111, 97.34948371, 87.52435088, 98.16600697,\n", - " 98.25854879, 44.32984072, 38.81137564, 102.75846204,\n", - " 72.40319121, 70.50294586, 114.20493048, 100.3264852 ,\n", - " 99.33920355, 99.34890947, 60.42890557, 95.56126172,\n", - " 124.4672476 , 131.51905662, 86.05469164, 116.20309983,\n", - " 90.36934535, 89.91917583, 94.4899198 , 100.47390945,\n", - " 97.30208649, 94.00111339, 101.45704707, 97.17037625,\n", - " 144.55759096, 85.72677096, 74.78407127, 147.18703874,\n", - " 104.48079624, 118.1339187 , 111.19412294, 148.13763146,\n", - " 117.28878813, 79.33188173, 80.88696541, 88.43167768,\n", - " 91.66697769, 145.1376852 , 93.92653653, 93.45166621,\n", - " 110.89852562, 110.44860418, 95.07412392, 87.62251904,\n", - " 100.89489935, 100.6049777 , 99.14534003, 101.31413908,\n", - " 92.26568776, 98.65874692, 98.29748806, 98.29833843,\n", - " 92.90823324, 90.80030811, 94.95745149, 103.13788522,\n", - " 97.90413901, 97.74476519, 97.59699403, 76.47177013,\n", - " 97.70166754, 116.70599523, 104.24421776, 72.82705743,\n", - " 142.14570876, 142.69613687, 118.37828242, 96.94973416,\n", - " 91.66361908, 92.35848704, 95.99866188, 45.91680008,\n", - " 46.83253081, 98.76938573, 100.40845894, 96.08119922,\n", - " 104.01076437, 104.01049209, 133.13730923, 115.34607339,\n", - " 91.58528472, 97.45073609, 85.4671522 , 91.05845472,\n", - " 92.30844869, 76.02174937, 64.53927875, 98.95454068,\n", - " 99.69411011, 76.90297019, 76.81041248, 97.14378564,\n", - " 99.80059811, 84.53436802, 92.83400463, 97.04202381,\n", - " 95.00419193, 54.11936781, 84.18249169, 78.85978059,\n", - " 80.37637268, 67.99785967, 63.12786673, 91.64088117,\n", - " 55.55191333, 100.38831654, 103.69876462, 98.8700366 ,\n", - " 94.69471334, 98.82354232, 133.41695958, 93.29068147,\n", - " 99.48090883, 140.74865997, 88.96104142, 92.49829311,\n", - " 134.98138156, 90.32701641, 90.22305019, 84.51125259,\n", - " 94.94609841, 98.14448759, 98.68749648, 112.93962788,\n", - " 108.67573278, 123.05400247, 95.44375294, 78.52905678,\n", - " 99.81009109, 99.81044582, 109.67467496, 108.99347784,\n", - " 87.45639061, 58.48607267, 77.31649802, 116.62227787,\n", - " 87.5641914 , 94.98800032, 76.94905547, 76.35352727,\n", - " 87.42973248, 85.48450121, 100.21047864, 104.2591418 ,\n", - " 115.56882865, 113.89042488, 98.57836159, 89.20134454,\n", - " 76.70667213, 88.8641195 , 94.53995585, 118.25595136,\n", - " 99.27941731, 97.56063046, 85.96221023, 97.63840343,\n", - " 94.75600155, 115.90635824, 61.88140974, 51.5722701 ,\n", - " 60.08619943, 88.13180109, 87.15667276, 144.4260672 ,\n", - " 113.8697163 , 90.53510816, 96.59977126, 99.72008743,\n", - " 89.98864148, 98.2167325 , 90.35163083, 68.49321615,\n", - " 70.0066171 , 96.65467833, 88.36924137, 79.75198909,\n", - " 91.61614231, 54.56166913, 81.39372568, 91.94732665,\n", - " 98.28076963, 130.12720279, 77.51477253, 83.22670836,\n", - " 97.62947362, 105.0555641 , 104.84306115, 88.23007536,\n", - " 90.09965059, 84.68621392, 106.87533668, 104.01662599,\n", - " 71.67848344, 93.43199974, 93.13791651, 98.39873718,\n", - " 102.93859264, 77.11151738, 90.28307095, 76.69818029,\n", - " 64.76535689, 62.98570713, 143.37592316, 111.67194981,\n", - " 57.19646804, 59.13973225, 121.55897421, 109.68830568,\n", - " 74.00490511, 132.88128478, 59.29288718, 70.83255219,\n", - " 98.36399074, 103.04012077, 85.92735416, 96.27741268,\n", - " 98.75688734, 100.57999976, 103.49605465, 96.28450448,\n", - " 123.60031275, 95.7858669 , 90.25189787, 97.36482954,\n", - " 69.38048499, 68.95966363, 142.20881473, 142.47919757,\n", - " 95.54456166, 61.92246425, 92.79840493, 83.47247525,\n", - " 104.00893442, 90.51301348, 66.7089983 , 65.86560531,\n", - " 87.68416317, 96.75058617, 89.26612388, 103.11278952,\n", - " 94.03877126, 95.22188184, 95.23030727, 135.63298467,\n", - " 89.29989838, 89.81807925, 80.63418327, 78.94184345,\n", - " 142.17087495, 138.91095478, 98.96165528, 92.38762993,\n", - " 118.89253276, 103.91328113, 141.99340305, 115.83592677,\n", - " 92.29050875, 91.97012234, 95.67569227, 101.71768125,\n", - " 88.91927833, 64.95258826, 95.70851514, 96.5103105 ,\n", - " 86.1341198 , 89.40728602, 90.75362444, 93.59197552,\n", - " 144.95382293, 139.55705462, 97.88811344, 87.6217524 ,\n", - " 92.46696136, 90.74700091, 96.89200992, 95.91430863,\n", - " 98.81974905, 127.05796839, 137.48062205, 98.40847316,\n", - " 98.58448643, 97.94669487, 97.19853201, 95.32115287,\n", - " 89.91353606, 97.67162799, 87.22840835, 92.47137137,\n", - " 93.77206975, 85.24624951, 83.17740158, 139.3520558 ,\n", - " 92.07110323, 111.543338 , 92.87819477, 98.25871189,\n", - " 88.89227748, 72.27163013, 40.44548606, 94.4976961 ,\n", - " 98.40602451, 120.90709444, 100.8167905 , 101.34493077,\n", - " 91.14166392, 51.89199428, 77.34057837, 97.78317238,\n", - " 88.64261943, 82.82657292, 122.06143168, 104.35427632,\n", - " 98.11744213, 96.58390677, 56.9054918 , 98.58740421,\n", - " 87.63892151, 103.33749153, 96.56707799, 99.77541845,\n", - " 95.19038274, 89.61414463, 89.58082431, 98.45626366,\n", - " 59.18962672, 140.01114557, 81.60262386, 76.62229415,\n", - " 104.35558594, 103.12944277, 67.93561024, 72.79108489,\n", - " 86.54568405, 96.01963719, 94.0308449 , 90.41002448,\n", - " 90.42354763, 94.92839538, 87.83237709, 94.53867888,\n", - " 93.70026284, 122.06091097, 100.80959258, 72.95321155,\n", - " 97.00274996, 83.67435724, 67.62925722, 97.98298125,\n", - " 84.80222699, 72.99048969, 103.41227681, 63.57923577,\n", - " 122.31340158, 124.27072023, 95.5839326 , 90.16532154,\n", - " 89.30204667, 97.24777368, 88.50143683, 97.54622942,\n", - " 97.60447417, 97.02458674, 86.92735038, 113.26884947,\n", - " 46.09015105, 47.42174774, 76.99802957, 98.35014123,\n", - " 86.91858694, 47.76009246, 59.39097587, 105.3620815 ,\n", - " 98.12672709, 98.44071375, 90.06203731, 43.05344996,\n", - " 96.22801134, 86.85587013, 99.5859809 , 86.99468515,\n", - " 97.23741009, 94.65062829, 89.87317833, 98.05298115,\n", - " 87.14347836, 76.4494126 , 96.87752034, 90.84447011,\n", - " 99.64598164, 138.64251097, 88.99863363, 96.78520788,\n", - " 67.92425278, 54.98682671, 98.93457403, 102.31409003,\n", - " 97.13435133, 97.6207349 , 97.52689783, 130.7160408 ,\n", - " 87.41878761, 98.7469648 , 99.4350949 , 117.42394036,\n", - " 104.16442552, 102.3207581 , 81.79876521, 64.08259198,\n", - " 64.33805711, 92.54984503, 87.8549667 , 100.18519612,\n", - " 97.62871418, 43.6954895 , 43.95204644, 68.2285939 ,\n", - " 99.53212085, 97.86464874, 80.19638976, 100.09529642,\n", - " 99.08269348, 101.12932439, 86.93655773, 76.57533352,\n", - " 92.41714585, 98.32821025, 98.7209831 , 98.03757521,\n", - " 97.79792703, 95.78081936, 105.78087038, 99.38750574,\n", - " 84.45535971, 113.74001205, 80.39805667, 94.18549605,\n", - " 95.32933929, 103.59435265, 94.35379995, 97.44225168,\n", - " 104.10078874, 90.78666922, 137.9242406 , 120.66194502,\n", - " 145.94135566, 125.05776409, 92.27386313, 91.313627 ,\n", - " 85.93783174, 97.19352372, 98.22479315, 96.96658396,\n", - " 134.95730519, 98.29823109, 98.58153113, 73.69126565,\n", - " 130.47688141, 87.4758214 , 89.00202071, 95.41337373,\n", - " 95.54463081, 65.1427323 , 120.69488858, 96.61034603,\n", - " 107.5938873 , 87.17206386, 86.09608407, 87.22120151,\n", - " 88.38859865, 111.85975926, 141.54373564, 97.15652423,\n", - " 94.64351726, 93.59560825, 47.47430904, 95.24879289,\n", - " 96.46806146, 89.09650053, 84.5899448 , 84.19792105,\n", - " 66.00186595, 89.66210421, 82.99977254, 91.7704415 ,\n", - " 97.94105938, 97.13235893, 95.55686245, 94.29553029,\n", - " 95.04868975, 101.33053556, 101.92883618, 77.73916314,\n", - " 101.28022252, 95.32355173, 87.57323214, 84.12498872,\n", - " 119.07764807, 101.80812985, 84.45004393, 99.93062706,\n", - " 137.13170351, 86.6600802 , 89.05192219, 101.12708008,\n", - " 91.46543693, 95.32691694, 89.17795438, 99.25837903,\n", - " 128.03473824, 90.72757438, 99.34701188, 88.90073262,\n", - " 90.7205926 , 88.10293249, 90.8347205 , 90.11444458,\n", - " 85.78841082, 98.2722905 , 85.33080143, 98.05127893,\n", - " 102.76581956, 92.45732281, 93.79167808, 88.01784084,\n", - " 88.88691036, 115.19981949, 88.67718354, 96.05561975,\n", - " 97.42195769, 87.73904699, 67.47447254, 91.36767698,\n", - " 94.97171599, 92.65408079, 114.24611598, 123.46181364,\n", - " 98.58533339, 71.99454851, 91.54839186, 93.34810773,\n", - " 103.09893284, 135.2229097 , 81.36047223, 148.15700891,\n", - " 113.19018573, 71.82948655, 70.08385084, 145.54402435,\n", - " 91.32469662, 90.64333931, 107.81432227, 100.22111019,\n", - " 64.09053892, 63.69437807, 104.25160827, 95.87481475,\n", - " 90.28714637, 98.01928414, 102.83920145, 137.33666511,\n", - " 102.532607 , 145.71379327, 78.14647141, 98.56942275,\n", - " 98.57919224, 101.30229405, 88.76919676, 104.0085526 ,\n", - " 98.31239809, 89.35455697, 93.41876332, 95.93155525,\n", - " 100.24061085, 88.08678784, 85.91490641, 92.52637179,\n", - " 83.43762418, 86.22460978, 74.01404284, 90.52405252,\n", - " 90.54711556, 90.06464657, 98.78365946, 103.38942499,\n", - " 68.55901425, 72.68099163, 116.29722575, 63.63480836,\n", - " 86.7154885 , 105.8769746 , 90.35679779, 91.53660722,\n", - " 87.56696257, 87.56691387, 104.01056948, 87.82887113,\n", - " 86.01853047, 98.2006181 , 97.60340071, 68.87587074,\n", - " 63.42949497, 98.38913812, 97.86779269, 85.19529719,\n", - " 72.39837683, 97.28716018, 97.79788953, 85.81411165,\n", - " 120.15828422, 89.63902898, 96.75476723, 84.298987 ,\n", - " 103.30348981, 72.4613026 , 67.29968613, 104.90597121,\n", - " 73.10782409, 93.70331177, 91.34590345, 55.30585112,\n", - " 99.13393935, 80.55739768, 113.97830487, 99.03325952,\n", - " 86.64755566, 93.22352715, 127.54399969, 50.33754608,\n", - " 63.85646222, 97.46726738, 66.88162029, 82.89305466,\n", - " 62.97086466, 91.17038748, 69.07940266, 93.45283261,\n", - " 125.41344149, 84.34791417, 70.31362936, 78.75791661,\n", - " 89.10855095, 104.81920628, 87.21477785, 76.05294873,\n", - " 98.27792296, 66.36054679, 90.8018275 , 105.55988072,\n", - " 101.25519427, 100.22251038, 89.4658999 , 77.23368926,\n", - " 98.58594966, 92.39872019, 98.07574065, 46.68839932,\n", - " 116.13748894, 107.56797454, 86.88422508, 87.13398194,\n", - " 77.61992718, 97.1146067 , 105.38941551, 90.86457867,\n", - " 82.44586956, 100.92118979, 147.43365388, 89.52636029,\n", - " 70.95980876, 86.27986492, 98.26955808, 103.9380407 ,\n", - " 64.70956154, 74.7159973 , 81.56375394, 81.22407254,\n", - " 91.13818403, 93.84338357, 96.83148534, 90.01995374,\n", - " 91.91519682, 85.87589688, 99.80921898, 89.80177049,\n", - " 113.49141588, 87.57174033, 65.5835958 , 86.68222934,\n", - " 99.47445423, 44.83692453, 68.47880421, 88.4683074 ,\n", - " 87.19289317, 87.27051027, 68.80231782, 100.31888776,\n", - " 77.09822988, 84.66473026, 88.65932683, 91.10951022,\n", - " 101.96972958, 70.61133223, 89.34981291, 60.24656237,\n", - " 87.64582619, 84.04355119, 87.33230841, 98.12523543,\n", - " 59.42714717, 62.952999 , 85.72641254, 53.93132629,\n", - " 95.22374352, 104.4808204 , 96.00049747, 95.19616142,\n", - " 97.60447207, 104.00870178, 67.60834956, 104.21643212,\n", - " 84.02475685, 126.97008271, 100.64255105, 88.45272475,\n", - " 85.61461036, 94.93308439, 87.65351684, 85.3698092 ,\n", - " 83.52655162, 91.1598572 , 82.67579984, 142.5676466 ,\n", - " 147.61240013, 59.42261838, 95.06867938, 134.20143687,\n", - " 116.99201626, 87.54860414, 98.58533332, 96.09041462,\n", - " 51.37668571, 141.96094953, 93.2450893 , 73.40803733,\n", - " 92.16460087, 60.64265004, 90.21594162, 86.52815946,\n", - " 94.41782314, 103.81684521, 131.77474602, 103.34716022,\n", - " 83.51304475, 91.98932693, 86.46122833, 95.78438597,\n", - " 91.32840573, 84.82453545, 128.50318307, 88.36557066,\n", - " 119.65100876, 91.71292805, 87.64658739, 88.34757031,\n", - " 91.84013959, 95.4337209 , 88.19388193, 88.22681239,\n", - " 103.00489571, 96.22198753, 92.25242165, 99.66815538,\n", - " 73.74360512, 136.02121222, 94.27694312, 77.93665346,\n", - " 70.5109161 , 87.01031784, 92.74542976, 57.65794377,\n", - " 97.56793239, 131.34404164, 86.20989705, 94.0655879 ,\n", - " 73.07336303, 87.6341728 , 89.12265011, 90.50933551,\n", - " 95.44698081, 58.34805336, 92.54029685, 98.29897754,\n", - " 64.73901233, 93.13031836, 87.92602769, 89.70529902,\n", - " -1.6634491 , 67.65764208, 64.32735664, 154.91591048,\n", - " 87.47440779, -0.43086912, -0.79480651, 104.2792421 ,\n", - " 65.84402425, 84.46087183, 93.17881649, 31.21590451,\n", - " 35.4800142 , 134.0494664 , 80. , 39.99 ,\n", - " 171.13155251, 150. , 1.72776122, 158.64359378,\n", - " 171.95348212, 85.65231633, 159.03501368, 99.83965741,\n", - " 99.46449786, -0.45824162, 171.61480549, 37.66971592,\n", - " 55.88424268, 175.23519899, 121.79313988, 132.23965414,\n", - " 83.27988793, 75.96423946, 139.99 , 159.05053479,\n", - " 0. , 0. , 59.59564976, 75.35320399,\n", - " 46.194113 , 64.29257909, 36.30759524, 42.31905477,\n", - " 26.77547469, 36.38027865, 53.96437524, 46.50504182,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 77.57963783, 120.88502829, 89.36871296, 62.9967967 ,\n", - " 98.99769191, 99.18076512, 100.128139 , 97.08019612,\n", - " 79.96391207, 47.8434773 , 97.96011457, 99.28353154,\n", - " 97.26250807, 91.74442018, 92.07293084, 93.57318874,\n", - " 78.32558789, 79.9897811 , 79.22965987, 90.30972276,\n", - " 93.99788963, 93.00206049, 89.80072897, 102.47117963,\n", - " 99.78422387, 98.40935642, 89.66222633, 90.399561 ,\n", - " 64.02388141, 146.32818378, 100.931787 , 92.67570949,\n", - " 96.92994999, 56.69975639, 92.05735495, 62.84256443,\n", - " 82.92612766, 73.36881927, 39.24326757, 53.73841006,\n", - " 87.7054594 , 90.05356788, 91.10936666, 85.77145018,\n", - " 99.98977903, 66.78015756, 103.16403779, 74.08290988,\n", - " 100.01586703, 128.99521411, 97.43489752, 96.62999665,\n", - " 93.73019279, 99.82709686, 65.83682285, 98.24524583,\n", - " 98.05481594, 124.08589563, 93.50938033, 70.59653815,\n", - " 87.42932787, 84.09940265, 94.2418847 , 94.18080733,\n", - " 74.79506308, 81.23369942, 90.84011688, 88.5220342 ,\n", - " 86.25016174, 367.09018533, 73.74505696, 81.58157148,\n", - " 95.88986476, 96.42191383, 88.53026304, 93.21458206,\n", - " 44.94451595, 97.84393891, 94.69973037, 93.48140252,\n", - " 50.10401647, 115.91510444, 103.93003323, 101.68991308,\n", - " 97.724267 , 97.33997715, 87.5174383 , 98.16719794,\n", - " 98.25976564, 44.3229294 , 38.80446428, 102.76065436,\n", - " 72.39627956, 70.4960343 , 114.15240357, 100.2739583 ,\n", - " 99.33317803, 99.34288395, 60.43105038, 95.56340654,\n", - " 124.41447331, 131.51905662, 86.04147824, 116.20309983,\n", - " 90.35979902, 89.90958023, 94.49216362, 100.47504197,\n", - " 97.29570152, 93.99509913, 101.45799872, 97.17132791,\n", - " 144.55759096, 84.67818674, 73.73548705, 147.18703874,\n", - " 104.4817479 , 118.16077591, 111.22098015, 148.13763146,\n", - " 117.28878813, 78.20151091, 79.75666077, 87.29827202,\n", - " 90.53357203, 145.13366945, 93.92638315, 93.45151282,\n", - " 109.37382441, 108.59742345, 94.99560564, 87.54400076,\n", - " 100.89599258, 100.60607891, 99.14758385, 101.3163829 ,\n", - " 91.70346083, 98.58022864, 98.29391021, 98.29474914,\n", - " 92.91449388, 90.80656875, 94.9596953 , 103.14012903,\n", - " 97.90535995, 97.73663843, 97.58894163, 75.9095432 ,\n", - " 97.70385985, 116.70294352, 104.24641007, 72.76824973,\n", - " 142.14570876, 134.45886168, 118.45604559, 96.95068582,\n", - " 91.6642898 , 92.35911525, 95.99185544, 45.89131822,\n", - " 46.80269344, 98.76568364, 100.41070276, 96.08344304,\n", - " 104.01300819, 104.0127359 , 133.13457925, 115.34491182,\n", - " 91.58596738, 97.44392966, 85.40372532, 90.99502784,\n", - " 92.30917128, 76.01483807, 64.53236745, 98.94840578,\n", - " 99.68822628, 76.89605893, 76.80350122, 97.08329987,\n", - " 99.79379168, 84.4695057 , 92.76956609, 97.03208919,\n", - " 94.99423096, 54.0970619 , 83.91726025, 78.59454914,\n", - " 80.2805654 , 67.90205239, 63.12457256, 91.63555226,\n", - " 55.54861916, 100.38848113, 103.69904108, 98.87332668,\n", - " 94.69629164, 98.82512062, 125.21115541, 93.28525543,\n", - " 99.47504317, 132.51138478, 88.95431648, 92.43602772,\n", - " 135.00787293, 90.31755459, 90.21355983, 84.39375198,\n", - " 94.83078526, 98.13855973, 98.68157801, 110.64702969,\n", - " 106.66191232, 123.04078906, 95.02562471, 78.11092855,\n", - " 99.80156773, 99.80193742, 107.12697264, 106.46142099,\n", - " 87.36085972, 58.39054178, 77.30958674, 116.62227787,\n", - " 87.29895996, 94.90165705, 76.94214418, 76.34661597,\n", - " 87.42281933, 85.41963889, 100.21267095, 104.26128662,\n", - " 115.56882865, 113.89042488, 98.51573036, 89.20288914,\n", - " 76.60152304, 88.86708974, 94.53077944, 118.33371454,\n", - " 99.27324708, 97.56866362, 85.97024339, 97.6418356 ,\n", - " 94.76191524, 115.90635824, 61.76100099, 51.46712101,\n", - " 59.96579067, 88.14453609, 87.16442017, 144.42205144,\n", - " 113.8169657 , 90.41359613, 96.5962708 , 99.71650958,\n", - " 89.99632709, 98.20995827, 90.35931644, 68.48323845,\n", - " 69.9966394 , 96.64146493, 88.35602797, 79.74170958,\n", - " 91.6068747 , 54.44126038, 81.39591799, 91.94951896,\n", - " 98.28286016, 130.12318703, 77.51147836, 83.22341419,\n", - " 97.61954546, 105.05780791, 104.84530496, 88.18635588,\n", - " 90.09015599, 84.6208068 , 105.35063548, 102.49192479,\n", - " 71.58267616, 93.37494189, 93.08086856, 98.40000873,\n", - " 102.93986419, 77.11955054, 90.27352893, 76.70621345,\n", - " 64.7584454 , 62.97879564, 143.36754992, 111.66510192,\n", - " 57.19317387, 59.13643808, 121.5457608 , 109.67509228,\n", - " 73.96118563, 132.82851049, 59.24916771, 70.21453548,\n", - " 98.36559185, 103.04172188, 85.77387772, 96.28544584,\n", - " 98.7649205 , 100.58224358, 103.49829847, 96.28104393,\n", - " 123.54753846, 95.78242679, 90.24524251, 97.35890825,\n", - " 69.37719082, 68.95636946, 142.22889544, 142.49918409,\n", - " 95.5412224 , 61.87874478, 92.78842723, 83.46918108,\n", - " 104.01117823, 90.50341788, 66.29584315, 65.48101223,\n", - " 87.60564488, 96.75282998, 89.25654051, 103.11837832,\n", - " 94.03558037, 95.21858284, 95.2270679 , 135.63298467,\n", - " 89.29660421, 89.81426566, 80.62727198, 78.93493216,\n", - " 142.17087495, 138.91095478, 98.95797898, 92.37804657,\n", - " 118.97029593, 103.9910443 , 141.99340305, 115.83592677,\n", - " 92.29324981, 91.97289825, 95.67542913, 99.86650052,\n", - " 88.92098654, 64.95429646, 95.67490402, 96.51610646,\n", - " 84.12029934, 89.41048053, 90.75832784, 93.58651112,\n", - " 144.95382293, 139.55705462, 97.89032314, 87.61845823,\n", - " 92.46968099, 90.74984427, 96.89517193, 95.91087764,\n", - " 98.81541599, 127.04475499, 137.46740865, 98.34464361,\n", - " 98.52160497, 97.94221885, 97.1940689 , 95.31772049,\n", - " 89.91647097, 97.66471379, 87.13260107, 92.47307958,\n", - " 93.76521246, 85.23933848, 83.17740158, 139.3520558 ,\n", - " 92.06112443, 110.01863679, 92.7576249 , 98.26200904,\n", - " 87.84369326, 71.22304592, 40.44719427, 93.46134562,\n", - " 97.8668906 , 120.90709444, 100.81756042, 101.34567404,\n", - " 91.05532065, 51.77142441, 77.25423511, 97.77636594,\n", - " 88.63581299, 82.82641953, 122.06127829, 104.35587742,\n", - " 98.10893314, 96.57539778, 56.896136 , 98.5246318 ,\n", - " 87.62894381, 103.41525471, 96.57303037, 99.76889513,\n", - " 95.05976167, 89.61508913, 89.58176902, 96.16366548,\n", - " 59.18271542, 131.77387038, 81.55890438, 76.61231645,\n", - " 104.35722657, 103.13096488, 67.8926286 , 72.75219404,\n", - " 86.53550569, 96.01311609, 94.02088234, 90.4109663 ,\n", - " 90.42449148, 94.91943955, 87.82830496, 94.53709004,\n", - " 93.69963164, 122.00813667, 100.81130079, 72.95491975,\n", - " 96.99835231, 82.62577302, 66.49880173, 97.97946287,\n", - " 84.53699555, 72.98641318, 103.41452063, 63.1561875 ,\n", - " 122.34025878, 124.29757744, 95.59019324, 90.15633253,\n", - " 89.29316844, 97.1848976 , 88.49145913, 97.48335334,\n", - " 97.59450577, 97.01461833, 86.93064129, 113.26047623,\n", - " 45.893439 , 47.22503569, 76.83145046, 98.35235093,\n", - " 86.90860924, 47.6396837 , 59.38099817, 105.36432532,\n", - " 98.0628872 , 98.44203258, 90.0642706 , 43.05568325,\n", - " 96.2215855 , 86.84972364, 99.58231233, 86.98799492,\n", - " 97.23779271, 94.6473368 , 89.86992605, 98.04447276,\n", - " 86.09489415, 75.40082838, 96.88095105, 90.84931401,\n", - " 99.64214984, 138.64235759, 88.88570633, 96.67228058,\n", - " 67.38511887, 54.4476928 , 98.93089773, 102.315281 ,\n", - " 97.12712526, 97.61350883, 96.39121224, 122.47876562,\n", - " 87.42611373, 97.63576833, 98.32389844, 117.42088446,\n", - " 104.16667359, 102.32300617, 81.60205316, 63.03400776,\n", - " 63.2894729 , 92.54237834, 87.84538333, 100.17797005,\n", - " 97.6187847 , 43.68857818, 43.94513512, 68.2216824 ,\n", - " 99.52804214, 97.86104058, 80.19853458, 100.0972329 ,\n", - " 99.07906473, 101.13126086, 86.9384942 , 76.56842222,\n", - " 92.40874843, 98.31987009, 98.71264903, 98.03176619,\n", - " 97.78990927, 95.78306318, 105.78087038, 99.38390023,\n", - " 84.44502725, 113.81777522, 80.36850022, 94.18098831,\n", - " 95.323351 , 103.59654496, 94.34492385, 97.44827253,\n", - " 104.103024 , 90.78939715, 137.92047571, 120.68880223,\n", - " 145.94135566, 125.05776409, 92.27609364, 91.31585753,\n", - " 85.88029564, 97.1900217 , 98.22121631, 96.96308326,\n", - " 134.90453763, 98.29464767, 98.5185391 , 73.6617092 ,\n", - " 130.46366801, 87.46622638, 89.0051823 , 95.40339602,\n", - " 95.14958072, 64.10638182, 120.69488858, 96.48977616,\n", - " 104.962507 , 86.04190747, 85.97858346, 87.21711493,\n", - " 88.38451366, 109.13469253, 141.4912593 , 97.15975406,\n", - " 94.63530532, 93.47503839, 47.4631856 , 95.13342135,\n", - " 96.46171528, 89.0904967 , 84.41037166, 83.14933683,\n", - " 64.95328173, 89.65806838, 83.00201636, 91.7572281 ,\n", - " 97.93108168, 97.1223974 , 95.49398637, 94.29675124,\n", - " 95.0499107 , 101.33213667, 101.93043729, 77.72594974,\n", - " 101.28183803, 95.32516724, 87.47813277, 84.11501102,\n", - " 119.09772878, 101.82821056, 84.18481249, 99.93233526,\n", - " 137.15856072, 86.65375091, 89.04542853, 100.72251168,\n", - " 91.06086853, 95.32089142, 89.07487073, 99.25235351,\n", - " 128.05481895, 90.73688585, 99.34774298, 88.89114926,\n", - " 90.71100923, 88.09391958, 90.84275366, 90.12247774,\n", - " 85.52317937, 98.27532633, 85.06556999, 98.05254919,\n", - " 102.76806337, 92.45955611, 93.78483515, 88.00825748,\n", - " 88.877327 , 112.62485505, 88.66720584, 96.04564205,\n", - " 97.42427133, 87.72906928, 67.46449484, 91.35769928,\n", - " 94.96525447, 92.64761927, 114.23290258, 123.53957681,\n", - " 98.52248365, 71.95565767, 91.5508968 , 93.25082353,\n", - " 103.10086931, 135.2229097 , 81.36218044, 148.15700891,\n", - " 113.13741817, 71.82619238, 70.08055667, 145.54402435,\n", - " 91.32721994, 90.56482103, 107.80110887, 100.20789679,\n", - " 63.04195471, 62.64579385, 104.25331647, 95.8177569 ,\n", - " 90.28075736, 98.01246116, 102.84479026, 137.28391451,\n", - " 102.53485081, 145.71379327, 77.70971637, 98.50597704,\n", - " 98.51611266, 101.30303732, 88.76269893, 104.01079642,\n", - " 98.30887663, 89.34497361, 93.4133029 , 95.91129808,\n", - " 100.23446208, 88.07681014, 85.85739986, 92.46928825,\n", - " 83.42729051, 86.21427611, 74.00406514, 90.51700769,\n", - " 90.54094672, 90.06050534, 98.78021984, 103.39166881,\n", - " 67.4256086 , 72.67139661, 116.37498893, 62.58622414,\n", - " 84.08410819, 103.44403614, 90.34917789, 89.10366876,\n", - " 87.4718632 , 87.4718145 , 104.01281329, 87.82069857,\n", - " 86.00945396, 98.13682155, 97.53960416, 68.87179334,\n", - " 63.42541756, 98.38222358, 97.8634497 , 85.18531949,\n", - " 71.26800601, 97.28114124, 97.79908694, 85.80413395,\n", - " 120.15828422, 89.62904987, 96.75549485, 84.22046872,\n", - " 103.30423308, 72.46349491, 66.99599255, 104.8927578 ,\n", - " 72.99032348, 93.70274953, 91.34635735, 55.21075175,\n", - " 99.13467044, 80.4788794 , 113.97830487, 99.03483781,\n", - " 86.64141834, 93.22577096, 127.54399969, 50.33979184,\n", - " 63.84955073, 97.35582666, 65.83303607, 82.87984125,\n", - " 62.57581457, 91.17209569, 69.08111086, 93.4428642 ,\n", - " 125.41344149, 84.35350297, 70.31033519, 78.7447032 ,\n", - " 89.10168559, 104.89696945, 87.20480015, 73.50524641,\n", - " 98.27110306, 66.35725262, 90.7918498 , 105.6376439 ,\n", - " 101.25593754, 100.22325365, 89.4617544 , 77.15517098,\n", - " 98.52312294, 92.38913682, 98.0770532 , 46.68148802,\n", - " 116.15756965, 107.51545029, 86.87464171, 87.12439857,\n", - " 77.62551598, 97.11443908, 105.38926212, 90.87261183,\n", - " 82.39335349, 100.92193306, 147.43365388, 89.5224646 ,\n", - " 70.95289745, 86.21542638, 98.26950131, 103.95812141,\n", - " 64.6665799 , 74.56252086, 81.53419749, 81.21480814,\n", - " 91.12868943, 93.79086181, 96.83211354, 90.0159474 ,\n", - " 90.84299743, 85.86591918, 99.79600558, 89.79851821,\n", - " 113.49172521, 87.56215697, 65.5736181 , 86.67405678,\n", - " 99.46594172, 44.82766013, 67.34539855, 88.45858035,\n", - " 87.18601491, 87.26092691, 68.79540632, 100.32113157,\n", - " 77.17599305, 84.65439779, 88.65537397, 91.09953156,\n", - " 101.97035778, 70.60069493, 89.34008586, 60.20358074,\n", - " 87.63261278, 84.03357208, 87.33215503, 98.12530281,\n", - " 59.41716947, 62.93401016, 85.66155021, 53.75175315,\n", - " 95.22050319, 104.48177199, 95.9932714 , 95.20086482,\n", - " 97.59450366, 104.01094559, 66.47804492, 104.21868022,\n", - " 83.95989453, 127.04784588, 100.64479486, 88.34532129,\n", - " 85.55711449, 94.93527671, 87.59595653, 85.31224889,\n", - " 83.26132018, 91.11561177, 82.63155441, 134.33037141,\n", - " 147.61240013, 59.37963674, 95.07092319, 134.19767198,\n", - " 116.99201626, 87.2833727 , 98.52248359, 96.09267564,\n", - " 51.37339154, 133.72367434, 93.24728162, 73.40788394,\n", - " 92.16642738, 60.59893057, 90.16950276, 86.53069668,\n", - " 94.40903918, 103.81848584, 131.77474602, 103.34860823,\n", - " 83.24781331, 91.99151924, 86.45218974, 95.75077485,\n", - " 91.31842662, 84.81455634, 128.4506941 , 88.36756535,\n", - " 119.65100876, 91.70294961, 87.6427738 , 88.34348532,\n", - " 91.78309165, 95.43596897, 88.13100585, 88.16393632,\n", - " 103.00616726, 96.11574779, 92.25480863, 99.6596399 ,\n", - " 73.75163828, 136.04806943, 94.21989518, 77.92974217,\n", - " 70.50400482, 86.94695686, 92.73221636, 57.73570694,\n", - " 97.56996832, 131.37089885, 86.1523905 , 94.05957365,\n", - " 73.06377967, 87.62458944, 89.11306674, 90.51156879,\n", - " 95.44920586, 58.35024567, 92.53229544, 98.29892219,\n", - " 64.72081265, 93.12034066, 87.91643267, 89.695704 ,\n", - " -1.6634491 , 67.19547817, 64.28096569, 147.18408774,\n", - " 87.37955135, -0.43086948, -0.79480686, 104.27951802,\n", - " 65.42824447, 82.21606477, 92.61845489, 30.63364277,\n", - " 35.48220651, 133.99697743, 80. , 39.99 ,\n", - " 170.97787504, 150. , 1.72776122, 156.64041931,\n", - " 171.80130297, 83.01572108, 159.035323 , 99.83328774,\n", - " 99.45835086, -0.45824157, 171.60575747, 36.41483767,\n", - " 55.44465488, 175.11721898, 121.7749402 , 132.18687985,\n", - " 83.26667453, 75.94603978, 139.99 , 157.02592367,\n", - " 0. , 0. , 59.62939032, 75.36360707,\n", - " 46.194113 , 64.28530411, 36.39212857, 42.31905477,\n", - " 26.77547469, 36.36207897, 53.96663951, 46.53316567,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 75.53781989, 110.29673798, 88.3656095 , 61.98731857,\n", - " 99.0916269 , 99.24371221, 100.19123084, 97.24959573,\n", - " 80.0188201 , 47.89717502, 98.02277481, 99.34706685,\n", - " 94.55121687, 91.90053233, 92.16014539, 93.66040326,\n", - " 77.04355523, 79.32241581, 79.29244767, 90.37252989,\n", - " 94.16814321, 93.17318769, 89.88682385, 102.45098573,\n", - " 99.85411442, 98.48534863, 89.74793998, 89.94454067,\n", - " 63.55096013, 145.98486063, 99.74847573, 92.24582952,\n", - " 96.50007343, 56.77473931, 91.79794072, 62.91754806,\n", - " 82.97905831, 73.42164911, 39.31824847, 53.81339206,\n", - " 87.43099299, 89.77906937, 90.8405337 , 85.19861338,\n", - " 100.04647545, 66.54686636, 103.14525841, 74.44519441,\n", - " 100.07482346, 118.39627082, 97.59593203, 96.78357536,\n", - " 93.79780125, 99.88551067, 65.56147046, 97.9724261 ,\n", - " 97.78186674, 122.24796667, 93.60333212, 68.75749432,\n", - " 86.9684331 , 82.45599429, 93.97651871, 93.91284707,\n", - " 74.87005212, 81.30816345, 90.79371329, 88.46146986,\n", - " 86.32518937, 366.85346656, 73.82005658, 81.65654953,\n", - " 95.86932488, 96.40137395, 88.10020227, 93.1952401 ,\n", - " 44.92511563, 97.83643193, 94.69134706, 93.21536354,\n", - " 50.87241542, 113.65865337, 101.67354416, 102.05204891,\n", - " 97.31808269, 96.96474311, 87.59247074, 98.15450245,\n", - " 98.24746821, 44.39790932, 38.87944471, 102.74053705,\n", - " 72.47127792, 70.57102387, 111.9124928 , 98.03402716,\n", - " 99.39159167, 99.40129759, 60.4097044 , 95.54215293,\n", - " 120.33416626, 128.6406232 , 84.73630203, 113.32429039,\n", - " 90.41336926, 89.96283799, 94.22567641, 100.46151729,\n", - " 97.26496372, 93.96413857, 101.44202262, 97.15522644,\n", - " 142.03205603, 80.72182268, 69.78167891, 144.4731582 ,\n", - " 104.46578059, 118.04097844, 111.10111721, 145.80809652,\n", - " 114.57474057, 74.49225764, 76.01209605, 83.29302464,\n", - " 86.53708757, 144.8151765 , 92.59670791, 92.12154976,\n", - " 104.65717028, 103.41891508, 94.72326049, 87.26961296,\n", - " 100.88191845, 100.59211225, 98.86744811, 101.0440886 ,\n", - " 89.74656972, 98.31186743, 98.39038465, 98.3918055 ,\n", - " 92.84606093, 90.73312762, 94.9345896 , 102.91151961,\n", - " 97.89276246, 97.80061305, 97.65310911, 73.95264936,\n", - " 97.68512868, 116.2651404 , 104.22702754, 72.52417241,\n", - " 139.52249979, 123.07112384, 116.87838948, 96.93367738,\n", - " 91.64582872, 92.34044945, 96.06776766, 45.84786866,\n", - " 46.7328031 , 98.8622661 , 100.38749624, 96.04858998,\n", - " 103.77934926, 103.77879389, 132.69183744, 114.94341326,\n", - " 91.5675751 , 97.51984109, 85.13239873, 90.72370055,\n", - " 92.29105702, 76.08981792, 64.60732586, 99.01252814,\n", - " 99.75292298, 76.97105801, 76.87849531, 96.89685998,\n", - " 99.86969215, 84.18990078, 92.49261638, 96.60723021,\n", - " 94.56690612, 54.07290628, 82.5700812 , 77.24659324,\n", - " 79.81880487, 67.4402933 , 63.21700799, 91.71562862,\n", - " 55.64564327, 100.36823315, 103.67913468, 99.04264155,\n", - " 94.68388167, 98.81271059, 114.66036407, 93.35375998,\n", - " 99.53947425, 121.12611428, 89.02442733, 92.17332204,\n", - " 134.90035555, 90.37255897, 90.26814544, 83.82027389,\n", - " 94.25656995, 98.20077045, 98.74389173, 104.98962227,\n", - " 101.28878481, 122.29212655, 93.23951914, 76.01770617,\n", - " 99.86407603, 99.86453988, 101.28378408, 100.63678959,\n", - " 86.00144026, 57.02822876, 77.38457167, 114.09459563,\n", - " 85.95165601, 93.60192003, 77.01712483, 76.42159592,\n", - " 87.49786862, 85.14002665, 100.2016934 , 104.24898682,\n", - " 112.71105087, 111.03627933, 98.25064332, 89.34555384,\n", - " 75.37288122, 89.02303897, 94.58994934, 116.78240207,\n", - " 99.33729415, 97.76756203, 86.16889663, 97.80937285,\n", - " 94.94778449, 113.04230689, 60.75149778, 50.23788079,\n", - " 58.95628218, 88.37158454, 87.35594535, 144.0787259 ,\n", - " 110.16041386, 89.43946795, 96.69367119, 99.81189118,\n", - " 90.19350913, 98.28621388, 90.55655803, 68.00437753,\n", - " 69.51774802, 95.45459247, 87.16879058, 79.79072628,\n", - " 91.6626116 , 53.42914039, 81.37407475, 91.92782773,\n", - " 98.43193299, 129.78025889, 77.60855666, 83.32049447,\n", - " 97.19492201, 104.78705522, 104.57453914, 88.03234292,\n", - " 90.14465565, 84.33789356, 100.63173044, 97.7636798 ,\n", - " 71.12091733, 93.14096046, 92.84694252, 98.38860912,\n", - " 102.92224557, 77.31831773, 90.32717179, 76.90478773,\n", - " 64.83343095, 63.05378119, 142.95792487, 111.23863783,\n", - " 57.29025123, 59.23351584, 120.39275424, 108.4968314 ,\n", - " 73.80710899, 129.08518221, 59.09404482, 68.09487005,\n", - " 98.3522293 , 103.02835909, 85.16565912, 96.48434443,\n", - " 98.96382124, 100.55934965, 103.47016748, 96.3772756 ,\n", - " 119.4754879 , 95.87878713, 90.30794499, 97.42148208,\n", - " 69.47423449, 69.05341271, 141.80279577, 142.07165466,\n", - " 95.63825233, 61.72466778, 92.35480241, 83.56626047,\n", - " 103.77561669, 90.55667564, 64.78049939, 64.0559662 ,\n", - " 87.33119699, 96.49635467, 89.30992708, 103.00664979,\n", - " 94.13491997, 95.31716035, 95.3261823 , 132.78559573,\n", - " 89.39374399, 89.9042492 , 80.70225048, 79.00991065,\n", - " 139.54535954, 136.28531708, 99.05467947, 92.43140144,\n", - " 117.54023548, 102.55951385, 139.13291242, 112.97325096,\n", - " 92.4490769 , 92.12888734, 95.80335719, 94.68603981,\n", - " 88.90157268, 64.93488211, 95.58415319, 96.7015039 ,\n", - " 78.74685258, 89.56870832, 90.92833362, 93.65439088,\n", - " 142.15291774, 136.81388667, 98.04244092, 87.71557886,\n", - " 92.62540923, 90.90614939, 97.05555473, 96.00729565,\n", - " 98.89868657, 125.99683444, 136.41436496, 98.0716098 ,\n", - " 98.25482598, 98.03034085, 97.28226324, 95.41413292,\n", - " 90.07317652, 97.73979449, 86.67084345, 92.45369653,\n", - " 93.8406591 , 85.31433805, 83.08343946, 139.25763869,\n", - " 91.63492113, 105.30173174, 91.75745638, 98.42400742,\n", - " 83.94710083, 67.2897866 , 40.42777905, 89.59930854,\n", - " 95.64013205, 120.85129911, 100.7997957 , 101.32757801,\n", - " 89.68560052, 50.75052555, 75.8791499 , 97.85228624,\n", - " 88.71173039, 81.48499909, 120.71487845, 104.34251461,\n", - " 98.17153189, 96.63799653, 56.94968145, 98.258588 ,\n", - " 87.156298 , 103.87415624, 96.75918585, 99.8321987 ,\n", - " 94.30903531, 89.75225142, 89.71893439, 90.49976205,\n", - " 59.25767358, 120.38765955, 81.40484843, 76.13460607,\n", - " 104.35642648, 103.12550996, 65.43579648, 70.54055618,\n", - " 86.58514746, 96.07683478, 93.59213642, 90.54808748,\n", - " 90.56164377, 94.97988346, 87.91480645, 94.65178445,\n", - " 93.82345377, 117.93539282, 100.79242645, 72.93604473,\n", - " 97.08707371, 78.66940729, 62.83641635, 98.07541231,\n", - " 83.19011762, 73.0728282 , 103.4095238 , 61.21754465,\n", - " 122.23388746, 124.1931598 , 95.51597843, 90.21353164,\n", - " 89.35122866, 96.91876069, 88.00663762, 97.21721508,\n", - " 97.16455507, 96.5846655 , 87.08896981, 112.85084794,\n", - " 44.81083746, 46.14128619, 76.15213959, 98.50446871,\n", - " 86.42373749, 46.62866581, 58.874798 , 105.0940692 ,\n", - " 97.78978588, 98.43153143, 90.07885598, 43.07026827,\n", - " 96.28690391, 86.92082547, 99.67715135, 87.05814961,\n", - " 97.21822324, 94.74460831, 89.96768777, 98.10707527,\n", - " 82.14135759, 71.45643175, 97.04360057, 91.02041766,\n", - " 99.73419645, 137.75681189, 87.78710656, 95.57368072,\n", - " 65.15472856, 52.2160882 , 99.02759822, 102.30242142,\n", - " 97.18123434, 97.6676224 , 92.34958753, 111.88742913,\n", - " 87.61463846, 93.63276933, 94.32059071, 116.9831707 ,\n", - " 104.18712211, 102.34212821, 80.53433338, 59.09118236,\n", - " 59.34195336, 92.59651349, 87.89873967, 100.23318407,\n", - " 97.19404666, 43.76355805, 44.02011502, 68.29666806,\n", - " 99.61505499, 97.95499404, 80.1760986 , 100.10950459,\n", - " 99.17325983, 101.14353344, 86.95087577, 76.64340215,\n", - " 92.47018779, 98.38456721, 98.77747235, 98.11083239,\n", - " 97.85417024, 95.5122638 , 105.72342791, 99.47824442,\n", - " 84.493717 , 114.11037889, 78.7250751 , 94.26873139,\n", - " 95.40111613, 103.54553522, 94.40430751, 97.63494663,\n", - " 104.11779881, 90.94464815, 137.70215591, 120.56898479,\n", - " 143.12490671, 122.23311098, 92.28957239, 91.32945981,\n", - " 85.64371819, 97.28687754, 98.31764087, 97.0600163 ,\n", - " 131.17747164, 98.39094648, 98.2510177 , 72.01828378,\n", - " 129.38259312, 87.51631926, 89.16291679, 94.96936919,\n", - " 93.46310289, 60.1743203 , 119.65632991, 95.49056241,\n", - " 99.19621924, 82.22888979, 85.40509851, 87.30335378,\n", - " 88.47077422, 103.22328167, 139.79591975, 97.32085088,\n", - " 94.69811075, 92.47509374, 47.50706218, 94.55748313,\n", - " 96.52825941, 89.16232569, 83.42381137, 79.18631134,\n", - " 60.98028806, 89.74506563, 82.73009414, 90.69749582,\n", - " 97.49519405, 96.69362281, 95.2278481 , 94.28334319,\n", - " 95.03604944, 101.31877381, 101.91707441, 76.46188465,\n", - " 101.26792385, 95.31124366, 86.11957097, 83.67908161,\n", - " 118.60616095, 101.32231658, 82.83685665, 99.91290319,\n", - " 137.06922392, 86.72379071, 89.11025636, 98.9945138 ,\n", - " 89.27727169, 95.37901889, 87.82175494, 99.31070748,\n", - " 127.57293616, 90.94345163, 99.3287277 , 88.94450183,\n", - " 90.76436178, 88.1509942 , 91.04159588, 90.32131858,\n", - " 84.17521298, 98.44047476, 83.71760229, 98.04107912,\n", - " 102.7865202 , 92.47414755, 93.86043875, 88.06161036,\n", - " 88.93067957, 106.75263692, 88.23139948, 95.61148917,\n", - " 97.57741143, 87.2931291 , 67.0285546 , 90.92176166,\n", - " 95.03981202, 92.72217666, 113.14930759, 122.11339319,\n", - " 98.25591671, 69.74401878, 91.70468243, 91.99583286,\n", - " 103.11314186, 132.89306086, 81.34274829, 146.00254944,\n", - " 109.4100916 , 71.92327067, 70.17763496, 142.71415534,\n", - " 91.48112636, 90.29136125, 106.61739248, 99.02411501,\n", - " 59.09567867, 58.69844215, 104.2361199 , 95.58377506,\n", - " 90.34673467, 98.08829827, 102.74053757, 133.62784169,\n", - " 102.30547401, 142.99808424, 75.75754921, 98.23542666,\n", - " 98.24800475, 101.28494118, 88.82753818, 103.7748379 ,\n", - " 98.40628639, 89.3983566 , 93.48123148, 95.90272877,\n", - " 100.28462007, 87.64093331, 85.620995 , 92.2351671 ,\n", - " 83.4759648 , 86.2629504 , 73.52509132, 90.58345545,\n", - " 90.61193074, 90.14605464, 98.87840712, 103.3871049 ,\n", - " 63.41548655, 72.7201644 , 114.82062035, 58.62852023,\n", - " 78.31753805, 97.76157335, 90.41897275, 83.42098013,\n", - " 86.10678288, 86.10668355, 103.77895174, 87.88134299,\n", - " 86.06614665, 97.8639936 , 97.26677621, 68.95819109,\n", - " 63.51180344, 98.45731443, 97.95261127, 84.74926964,\n", - " 67.55874067, 97.34040983, 97.78638747, 85.36819367,\n", - " 119.09557263, 89.20116814, 96.73731067, 83.94545951,\n", - " 103.28613674, 72.44143999, 65.71394578, 103.71012456,\n", - " 72.41683248, 93.82696239, 91.47927152, 53.84565071,\n", - " 99.11545528, 80.20386969, 111.12398613, 99.02242777,\n", - " 86.71256653, 93.22117598, 124.71412439, 50.36713842,\n", - " 63.92453151, 96.80275859, 61.77420254, 81.69259209,\n", - " 60.88788957, 91.15271197, 69.06171925, 93.01293677,\n", - " 125.25212102, 84.24119339, 70.40736794, 77.55738179,\n", - " 89.16880684, 103.46681635, 86.72550117, 67.65918913,\n", - " 98.34697719, 66.45428536, 90.34532219, 105.92940137,\n", - " 101.23784133, 100.20515743, 89.54733061, 76.88007729,\n", - " 98.25671161, 92.44248939, 98.0663735 , 46.75644366,\n", - " 115.66820723, 105.29764793, 86.92784249, 87.177422 ,\n", - " 77.50666585, 97.24346469, 104.07636036, 91.071458 ,\n", - " 80.24973464, 100.90332378, 144.80935876, 89.61134155,\n", - " 71.02787732, 85.93829585, 98.39983007, 103.45815473,\n", - " 62.20970251, 73.94932313, 79.89076227, 81.27029723,\n", - " 91.18318909, 91.59501494, 96.81344677, 90.10333442,\n", - " 86.90587978, 85.39470086, 98.61718328, 89.89627993,\n", - " 112.83148906, 87.61517562, 65.09307907, 86.73470119,\n", - " 99.52851824, 44.88314863, 63.33945974, 88.51101796,\n", - " 87.25306007, 87.31394565, 68.87038303, 100.33958835,\n", - " 77.61074731, 84.70308753, 88.74348091, 90.67180189,\n", - " 101.95169051, 70.64752259, 89.39252345, 57.74669381,\n", - " 86.44535373, 83.60567484, 86.00238061, 98.10476295,\n", - " 58.92852938, 62.93001897, 85.38193791, 52.76519246,\n", - " 95.31960812, 104.46581299, 96.04630507, 95.37086929,\n", - " 97.16455078, 103.77514217, 62.72964327, 104.23914738,\n", - " 83.6802823 , 124.67570504, 100.62174786, 87.81601293,\n", - " 85.32077894, 94.88887125, 87.35923774, 85.07553011,\n", - " 81.91336432, 90.9596972 , 82.47563981, 122.94419285,\n", - " 145.30117121, 56.92204906, 95.04581726, 133.9787456 ,\n", - " 114.26706161, 85.93540499, 98.25591658, 96.11935501,\n", - " 51.47046887, 122.33741565, 93.22697241, 72.09423524,\n", - " 92.31401576, 60.44447307, 90.00022831, 86.68224553,\n", - " 94.46890742, 103.78518477, 129.14917999, 103.33966903,\n", - " 81.89987003, 91.93961353, 86.50913172, 95.66002401,\n", - " 90.89039244, 84.37368908, 126.58928816, 88.51425433,\n", - " 116.77067887, 91.27469372, 87.73189212, 88.42745367,\n", - " 91.54916552, 95.45401637, 87.86486728, 87.89779741,\n", - " 102.98788138, 95.59331367, 92.40781891, 99.72219765,\n", - " 73.94716044, 135.94270845, 93.98589037, 77.97627233,\n", - " 70.54979829, 86.67812388, 91.54478669, 58.02663757,\n", - " 97.72037696, 131.26553748, 85.91598564, 94.02861254,\n", - " 73.11658763, 87.67796219, 89.16608444, 90.52521082,\n", - " 95.60080739, 58.2833465 , 92.59572543, 98.42926771,\n", - " 64.48752145, 92.63139975, 87.96680375, 89.74897032,\n", - " -1.6634491 , 65.17075446, 61.62647324, 137.10607583,\n", - " 86.02274262, -0.43086615, -0.79480401, 104.25965102,\n", - " 63.51598474, 76.84308354, 90.6671716 , 28.33617918,\n", - " 35.46015159, 132.13557149, 80. , 39.99 ,\n", - " 162.56873107, 150. , 1.72776122, 150.59454112,\n", - " 163.47902621, 77.08202843, 158.37612102, 99.89218072,\n", - " 99.5084944 , -0.4582451 , 171.20821449, 32.54777329,\n", - " 53.84984606, 173.34806834, 121.541649 , 128.44355157,\n", - " 81.95618877, 75.57762556, 139.99 , 150.91883181,\n", - " 0. , 0. , 60.05328766, 75.49354697,\n", - " 46.194113 , 64.28530411, 37.45094965, 42.31905477,\n", - " 26.77547469, 36.13303771, 53.99488924, 46.86476895,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 71.05931027, 87.87808818, 85.81625713, 59.41631983,\n", - " 98.87113396, 98.95303898, 99.90112843, 97.10981082,\n", - " 79.67965057, 47.55496725, 97.68413197, 99.01062376,\n", - " 84.31431108, 91.75037367, 91.93039255, 93.43065033,\n", - " 74.05281493, 77.36343513, 79.00049208, 90.08063996,\n", - " 94.02884442, 93.03568832, 89.65464267, 102.25019919,\n", - " 99.52343019, 98.16520195, 89.51493257, 88.325044 ,\n", - " 61.87067747, 145.12272933, 96.44785819, 90.71234974,\n", - " 94.96661781, 56.45236717, 90.77073668, 62.5951784 ,\n", - " 82.58180265, 73.02405117, 38.99586909, 53.49101661,\n", - " 86.24215118, 88.59011855, 89.7931532 , 83.50762301,\n", - " 99.75612265, 66.16913022, 102.99987833, 74.72836567,\n", - " 99.78642005, 95.94144685, 97.44688745, 96.62496274,\n", - " 93.52820944, 99.59845678, 64.36962013, 96.78917588,\n", - " 96.59817688, 116.92778711, 93.64403579, 63.43352904,\n", - " 85.36201117, 77.95364706, 92.97653761, 92.90405661,\n", - " 74.54770149, 80.98403003, 90.50392703, 88.12359815,\n", - " 86.00298539, 365.8710367 , 73.49774245, 81.33415991,\n", - " 95.69640599, 96.22845507, 86.56546038, 93.04794966,\n", - " 44.77762702, 97.74920824, 94.59958884, 92.21309716,\n", - " 51.33694564, 106.91728351, 94.93204528, 102.33471525,\n", - " 95.84674277, 95.57278861, 87.27028559, 98.0465137 ,\n", - " 98.14130008, 44.07552625, 38.55706359, 102.5400106 ,\n", - " 72.14895946, 70.24867502, 105.22728966, 91.34875483,\n", - " 99.10453723, 99.11424315, 60.21046731, 95.34322952,\n", - " 107.39943333, 118.8663731 , 81.02186366, 103.54876343,\n", - " 90.06241916, 89.61132929, 93.22188796, 100.34952507,\n", - " 96.74914886, 93.46611309, 101.31779243, 97.03057056,\n", - " 133.45613767, 73.51440293, 62.58293826, 135.25767768,\n", - " 104.34158026, 117.4060026 , 110.46591908, 137.89773218,\n", - " 105.35869292, 66.8596786 , 68.35884619, 75.58026573,\n", - " 78.85408474, 144.03736073, 88.07695547, 87.60081996,\n", - " 95.37324606, 92.82743681, 93.54162179, 86.08103807,\n", - " 100.76724716, 100.47797863, 97.81731358, 100.02058113,\n", - " 85.42039648, 97.14375696, 98.17389568, 98.17501369,\n", - " 91.74848349, 89.61854396, 94.75045644, 102.03635214,\n", - " 97.78620596, 97.47961032, 97.33472788, 69.62646681,\n", - " 97.48930923, 114.84765001, 104.02899619, 71.5262868 ,\n", - " 130.61491129, 97.93780292, 109.37645822, 96.80594173,\n", - " 91.50479957, 92.19716882, 95.74734933, 45.2901396 ,\n", - " 46.11731113, 98.6427363 , 100.20981212, 95.83135792,\n", - " 102.88703529, 102.88551862, 131.24638422, 113.52527588,\n", - " 91.42719726, 97.19942013, 84.07727929, 89.66857872,\n", - " 92.15294024, 75.76743449, 64.28486963, 98.73084184,\n", - " 99.47636556, 76.64873969, 76.55616011, 95.94020868,\n", - " 99.54923398, 83.11778432, 91.42638427, 95.08873495,\n", - " 93.04250051, 53.55733531, 79.55340541, 74.22727949,\n", - " 78.36069668, 65.98219 , 62.99197974, 91.45350026,\n", - " 55.43619676, 100.20080795, 103.51804536, 98.90256894,\n", - " 94.57104294, 98.69987166, 92.36904879, 93.08587559,\n", - " 99.26268251, 96.00117163, 88.73286365, 91.13899721,\n", - " 134.33268451, 90.02457371, 89.919351 , 82.1275389 ,\n", - " 92.56164611, 97.92017465, 98.46351734, 92.91659937,\n", - " 90.11521278, 120.46744107, 89.51243616, 71.24775155,\n", - " 99.52509864, 99.52576916, 88.53057644, 87.94822726,\n", - " 82.73250772, 53.74947062, 77.06220548, 105.51138567,\n", - " 82.9345561 , 90.45441378, 76.69474412, 76.09921283,\n", - " 87.17574988, 84.06788531, 100.03220325, 104.08046774,\n", - " 103.00694079, 101.34450315, 97.21100118, 89.18586171,\n", - " 72.40428322, 88.87750135, 94.25002517, 109.36992553,\n", - " 99.05480638, 97.67459049, 86.07509257, 97.66744591,\n", - " 94.83418721, 103.31689378, 58.18041393, 47.2672508 ,\n", - " 56.38518037, 88.32918126, 87.26048145, 143.21658647,\n", - " 98.66463171, 86.91644639, 96.4796877 , 99.59169127,\n", - " 90.09143158, 97.9665335 , 90.45468267, 66.30392574,\n", - " 67.81719282, 92.14188225, 83.85484119, 79.43258186,\n", - " 91.31925317, 50.84917075, 81.16768741, 91.72195655,\n", - " 98.24902641, 128.91946893, 77.39929413, 83.11123867,\n", - " 95.67687476, 103.76878255, 103.55622187, 87.23316562,\n", - " 89.79567917, 83.25850229, 91.34016289, 88.44039674,\n", - " 69.6628149 , 92.16412917, 91.87022551, 98.28635761,\n", - " 102.79887627, 77.22490062, 89.97637611, 76.81071558,\n", - " 64.51106813, 62.73141837, 141.86767971, 110.03050067,\n", - " 57.08098554, 59.02425148, 117.19504194, 105.21336341,\n", - " 73.00771546, 117.29472269, 58.29109856, 63.47724267,\n", - " 98.23427099, 102.91039993, 83.31548935, 96.39137349,\n", - " 98.87085761, 100.38272701, 103.27576142, 96.16117102,\n", - " 106.56879142, 95.66310118, 90.01586571, 97.14147754,\n", - " 69.26485439, 68.84403118, 140.60201049, 140.86779553,\n", - " 95.42373982, 60.92527303, 90.80795814, 83.35700162,\n", - " 102.87684205, 90.20516694, 61.2276002 , 60.68069284,\n", - " 86.14241804, 95.52656345, 88.95859022, 101.82831124,\n", - " 93.92568459, 95.10667658, 95.11449274, 123.11676291,\n", - " 89.18469022, 89.68034996, 80.37986239, 78.68752253,\n", - " 130.62993907, 127.36948136, 98.83601397, 92.07995699,\n", - " 110.53949246, 95.55377918, 129.41959037, 103.25250875,\n", - " 92.2962847 , 91.9775917 , 95.61777484, 84.08793201,\n", - " 88.75403811, 64.78734587, 94.91153471, 96.58719365,\n", - " 67.57219648, 89.42617091, 90.80032629, 93.38531732,\n", - " 132.64192903, 127.49895538, 97.87826704, 87.50646008,\n", - " 92.47170416, 90.75777413, 96.90610978, 95.79179997,\n", - " 98.66013539, 123.15596103, 133.55609498, 97.01411135,\n", - " 97.2113645 , 97.77867789, 97.03079795, 95.19861647,\n", - " 89.92660701, 97.41779925, 85.21274511, 92.30626656,\n", - " 93.51923594, 84.99201951, 80.98809455, 137.16074877,\n", - " 90.11354615, 96.0169555 , 89.20842141, 98.27567157,\n", - " 76.94264666, 60.16082326, 40.28023985, 82.66715434,\n", - " 91.35674515, 118.88555659, 100.66439336, 101.19041884,\n", - " 86.30045374, 48.13109689, 72.47578501, 97.53189536,\n", - " 88.39132966, 76.92536365, 116.13833452, 104.22455537,\n", - " 97.83275306, 96.29921769, 56.60588502, 97.216785 ,\n", - " 85.47695077, 103.28773104, 96.64603828, 99.54291938,\n", - " 92.22017979, 89.58640753, 89.55316228, 78.40468077,\n", - " 58.93521651, 95.25952389, 80.60552516, 74.43806118,\n", - " 104.28834099, 103.04424891, 58.94410451, 64.6481789 ,\n", - " 86.22781219, 95.78748222, 92.06239087, 90.38126489,\n", - " 90.39556471, 94.64057486, 87.6835462 , 94.45773489,\n", - " 93.6382024 , 105.02634212, 100.64672393, 72.79033986,\n", - " 96.83710565, 71.46198186, 55.23379231, 97.85849889,\n", - " 80.17446434, 72.84146115, 103.29367406, 57.39741082,\n", - " 121.64450259, 123.61040905, 94.39876763, 89.88030501,\n", - " 89.01977233, 95.87711481, 86.28594559, 96.1755646 ,\n", - " 95.63078494, 95.05088814, 86.94782516, 111.76059173,\n", - " 42.15745534, 43.48400596, 74.15259547, 98.34029483,\n", - " 84.70287487, 44.05243853, 57.08151079, 104.07748274,\n", - " 96.73213629, 98.33284653, 90.0273385 , 43.01874959,\n", - " 95.99982956, 86.64179031, 99.45791031, 86.76729922,\n", - " 97.06244081, 94.53108709, 89.75983873, 97.7683047 ,\n", - " 74.94353913, 64.2896496 , 96.89782081, 90.89377502,\n", - " 99.51002274, 134.74518298, 85.02210753, 92.80868142,\n", - " 60.85900933, 47.91624565, 98.80893272, 102.19387549,\n", - " 96.87355263, 97.35995593, 84.86015117, 89.45843549,\n", - " 87.51469654, 86.27593026, 86.96270329, 115.56611595,\n", - " 104.1577772 , 102.308279 , 77.93148499, 51.92973563,\n", - " 52.16456684, 92.288131 , 87.54730018, 99.92925438,\n", - " 95.6757131 , 43.44117477, 43.69773187, 67.97430558,\n", - " 99.38301451, 97.73501817, 79.97316025, 100.07289934,\n", - " 98.95320183, 101.10693116, 86.9146436 , 76.32101896,\n", - " 92.14656105, 98.05135682, 98.44425042, 97.83434738,\n", - " 97.53701975, 94.49383262, 103.75209219, 99.25867301,\n", - " 84.13485339, 112.95925874, 74.22267097, 94.01575737,\n", - " 95.12111755, 103.24010794, 94.06975234, 97.52271712,\n", - " 104.0689964 , 90.7952768 , 137.16943479, 119.93394114,\n", - " 133.5611363 , 112.64148181, 92.23347356, 91.27398907,\n", - " 84.66158411, 97.07165929, 98.10118304, 96.84494351,\n", - " 119.44223712, 98.17428308, 97.20588313, 67.51587861,\n", - " 126.42913804, 87.15404133, 89.01927947, 93.42115979,\n", - " 89.86614036, 53.00438524, 116.12971294, 92.94476953,\n", - " 85.6950142 , 74.55212784, 83.71234024, 87.07170684,\n", - " 88.23917393, 89.58069571, 134.95993484, 97.17205891,\n", - " 94.37765392, 89.92681898, 47.14020356, 92.85848724,\n", - " 96.24325144, 88.88629043, 80.95170152, 71.95627148,\n", - " 53.71639939, 89.51484379, 81.70785011, 87.81651347,\n", - " 95.94066603, 95.16379615, 94.18619759, 94.17403432,\n", - " 94.9252016 , 101.20081443, 101.79911497, 72.88705269,\n", - " 101.14688871, 95.19017663, 82.85229936, 82.12441173,\n", - " 117.18306646, 99.85057505, 79.81754313, 99.76530679,\n", - " 136.53768287, 86.44084594, 88.8221701 , 95.34083837,\n", - " 85.43479976, 95.09099269, 84.80314928, 99.02345041,\n", - " 126.18272904, 90.86405557, 99.18951105, 88.59304954,\n", - " 90.41290941, 87.81736096, 90.94843355, 90.22815154,\n", - " 81.15586361, 98.2949059 , 80.69824848, 97.93872023,\n", - " 102.75031162, 92.42265071, 93.53937422, 87.71015913,\n", - " 88.57922732, 93.89666779, 86.67714741, 94.06285178,\n", - " 97.41563352, 85.73842261, 65.47384795, 89.36706391,\n", - " 94.75113674, 92.43350083, 110.18729504, 115.12581465,\n", - " 97.21293261, 63.85163801, 91.55075178, 88.93897275,\n", - " 103.0765395 , 124.9816306 , 81.19515161, 138.68668606,\n", - " 97.67397222, 71.71400811, 69.9683724 , 133.10481463,\n", - " 91.32756993, 89.10593765, 103.31539929, 95.72189981,\n", - " 51.92251468, 51.52162553, 104.09611453, 94.60694237,\n", - " 90.06073133, 97.76778189, 101.5875846 , 122.13368615,\n", - " 101.42770081, 133.77639474, 71.93237991, 97.18347525,\n", - " 97.2015492 , 101.14778089, 88.53931267, 102.87471526,\n", - " 98.19282378, 89.04700762, 93.2122613 , 95.40443839,\n", - " 99.98410107, 86.08644194, 84.63922223, 91.25805017,\n", - " 83.11707766, 85.90406325, 71.82425615, 90.28663632,\n", - " 90.33244787, 89.91283632, 98.66560447, 103.27272523,\n", - " 55.68617478, 72.35338687, 107.39776622, 51.41655077,\n", - " 64.81537411, 85.44909186, 90.08731572, 71.10773174,\n", - " 82.81737646, 82.8171052 , 102.8859497 , 87.56252876,\n", - " 85.73146683, 96.8069508 , 96.20973341, 68.72680107,\n", - " 63.28037308, 98.13535904, 97.70389364, 83.19419079,\n", - " 59.92612062, 97.05471436, 97.6786596 , 83.81348688,\n", - " 115.48693997, 87.67423547, 96.59929971, 82.75477452,\n", - " 103.14897654, 72.2343338 , 62.72315755, 100.41180939,\n", - " 70.72405364, 93.64461651, 91.30732716, 50.55617392,\n", - " 98.9755599 , 79.01318298, 101.43162187, 98.90958882,\n", - " 86.43372325, 93.10669077, 115.10476231, 50.36269706,\n", - " 63.60215248, 95.15190187, 54.21882884, 78.37860271,\n", - " 57.28601289, 91.00527975, 68.91426021, 91.47924565,\n", - " 122.92804846, 83.06088175, 70.19795073, 74.24314708,\n", - " 88.87490951, 96.4657587 , 85.02356193, 54.89624022,\n", - " 98.02654864, 66.24486811, 88.75466417, 104.7754078 ,\n", - " 101.10068081, 100.06799689, 89.31401815, 75.68910542,\n", - " 97.21407878, 92.09103709, 97.96715126, 46.43397799,\n", - " 114.25260164, 98.68751928, 86.57587476, 86.82485204,\n", - " 76.30414461, 97.05787411, 99.61356535, 90.97830908,\n", - " 73.89151392, 100.76442105, 135.89808204, 89.38510456,\n", - " 70.70549402, 84.87144976, 98.21429941, 102.00654041,\n", - " 55.71785683, 72.08224582, 75.38832384, 80.93258879,\n", - " 90.83421261, 85.05944148, 96.67016284, 89.87394741,\n", - " 79.76816877, 83.72020093, 95.33180887, 89.68843089,\n", - " 111.12517773, 87.26258944, 63.386929 , 86.41588696,\n", - " 99.18969055, 44.54543818, 55.62435291, 88.15818153,\n", - " 86.9588866 , 86.96135982, 68.54799015, 100.30337962,\n", - " 76.94232558, 84.34422388, 88.51561636, 89.14529537,\n", - " 101.80840488, 70.28555878, 89.03968697, 51.25481577,\n", - " 83.13133079, 82.07868951, 81.48229137, 97.93184413,\n", - " 57.19487062, 62.45851604, 84.30979633, 50.29308126,\n", - " 95.10790584, 104.34163054, 95.7349716 , 95.24285752,\n", - " 95.63077322, 102.87554618, 55.06336438, 104.20986444,\n", - " 82.608141 , 114.47595475, 100.44460544, 86.21534663,\n", - " 84.33915615, 94.59907863, 86.37680784, 84.09310023,\n", - " 78.89405074, 90.14853778, 81.66448028, 97.81616674,\n", - " 137.45296832, 50.42779148, 94.86168333, 133.44396473,\n", - " 105.0139769 , 82.91605116, 97.21293227, 96.1114121 ,\n", - " 51.26120305, 97.20911744, 93.0257943 , 67.62890382,\n", - " 92.15231834, 59.64378626, 89.16071921, 86.53306891,\n", - " 94.13616499, 103.60673621, 120.23358762, 103.25123228,\n", - " 78.88059913, 91.63114383, 86.17506453, 94.98740552,\n", - " 89.36294214, 82.80266165, 121.18938703, 88.35932493,\n", - " 106.98998895, 89.74632844, 87.50505485, 88.18806978,\n", - " 90.57244821, 95.41651802, 86.82321579, 86.85614473,\n", - " 102.86224628, 94.00718544, 92.25149242, 99.38332872,\n", - " 73.84272423, 135.3567544 , 93.0089059 , 77.55728266,\n", - " 70.12830704, 85.63074334, 88.23018436, 56.86983628,\n", - " 97.55220737, 130.67958206, 84.93421287, 93.53058521,\n", - " 72.76328605, 87.32657844, 88.81349503, 90.47049001,\n", - " 95.44089339, 57.92396342, 92.27952605, 98.24373831,\n", - " 64.10978531, 90.89671958, 87.60547046, 89.39746835,\n", - " -1.6634491 , 61.26194072, 54.6524834 , 116.05422339,\n", - " 82.75922344, -0.43088253, -0.79482116, 104.09888137,\n", - " 59.74113391, 65.34198362, 86.35112374, 20.2615631 ,\n", - " 35.2530454 , 126.73567036, 78.22372076, 39.99 ,\n", - " 144.49746668, 142.88877148, 1.72776122, 142.63504917,\n", - " 145.61972075, 64.06489455, 156.6733214 , 99.60408871,\n", - " 99.2080623 , -0.4582737 , 170.18321218, 24.4085332 ,\n", - " 50.15346575, 168.12641318, 121.16391286, 116.65309205,\n", - " 78.22372078, 74.74105435, 139.99 , 142.88877168,\n", - " 0. , 0. , 60.44393368, 75.5663984 ,\n", - " 46.194113 , 64.28530411, 38.33569928, 42.31905477,\n", - " 26.77547469, 35.769733 , 53.99233845, 46.98290381,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 65.71045388, 69.32335817, 82.38949529, 55.96670454,\n", - " 97.8878718 , 97.92859953, 98.87734056, 96.20055796,\n", - " 78.5723274 , 46.44433364, 96.57236654, 97.90123727,\n", - " 74.27831069, 90.83296734, 90.94833688, 92.44859457,\n", - " 67.80222239, 73.16492914, 77.97419771, 89.0544149 ,\n", - " 93.11826355, 92.12718071, 88.67160844, 101.95111816,\n", - " 98.418129 , 97.0700072 , 88.53156719, 86.41165334,\n", - " 59.89311113, 144.62006534, 88.84917093, 88.88989434,\n", - " 93.14419354, 55.35492197, 88.93275245, 61.49773594,\n", - " 81.4052972 , 71.84718434, 37.89841587, 52.39356776,\n", - " 83.57582223, 85.92367451, 87.93370114, 80.9619096 ,\n", - " 98.74787034, 65.52893064, 102.77020641, 74.91431028,\n", - " 98.77728288, 77.34852545, 96.53258389, 95.69163922,\n", - " 92.52815616, 98.59151794, 61.70011489, 94.12875033,\n", - " 93.93728718, 113.01695018, 93.48998482, 59.51869529,\n", - " 83.50432863, 74.47784894, 91.83437276, 91.75259116,\n", - " 73.45027979, 79.88472612, 90.11088335, 87.67978757,\n", - " 84.90572075, 364.07974029, 72.4003599 , 80.23669534,\n", - " 95.40894897, 95.94099805, 84.74155077, 92.81626087,\n", - " 44.545729 , 97.58594366, 94.43113912, 91.06851959,\n", - " 51.53563211, 101.50601283, 89.52063839, 102.52012679,\n", - " 94.06976775, 93.85285808, 86.17304109, 97.86250852,\n", - " 97.959332 , 42.97806876, 37.45960839, 102.24120416,\n", - " 71.05157226, 69.1512552 , 99.87531738, 85.99670951,\n", - " 98.09759779, 98.10730371, 59.91413451, 95.04722789,\n", - " 95.44948001, 108.54706836, 72.98628794, 93.22811063,\n", - " 88.94032778, 88.48868443, 92.07570347, 100.16085252,\n", - " 95.64101312, 92.40338977, 101.1145176 , 96.82684628,\n", - " 124.40198886, 64.39748574, 53.47518415, 125.52830195,\n", - " 104.13833695, 117.02815289, 110.08783469, 129.54625157,\n", - " 95.62871842, 58.16865919, 59.62433636, 66.49820605,\n", - " 69.80344047, 143.62371407, 84.40557793, 83.92841055,\n", - " 85.20700374, 81.87078617, 90.88289762, 83.41499091,\n", - " 100.57543007, 100.28680352, 96.62219854, 98.85357799,\n", - " 80.21782173, 94.49931541, 97.19091588, 97.19121369,\n", - " 90.44586592, 88.29797184, 94.46963477, 101.02596109,\n", - " 97.6047632 , 96.38976708, 96.24810865, 64.42388222,\n", - " 97.19547234, 113.53766705, 103.73282403, 69.71865326,\n", - " 121.21059696, 76.51701994, 101.16443873, 96.59896595,\n", - " 91.27811558, 91.96687697, 94.65186777, 43.95048708,\n", - " 44.71646837, 97.65613548, 99.93579911, 95.51559161,\n", - " 101.85854156, 101.85601 , 129.89190917, 112.1335585 ,\n", - " 91.20152969, 96.1039358 , 82.2091481 , 87.80044501,\n", - " 91.93064669, 74.66997648, 63.18733476, 97.71943222,\n", - " 98.47267171, 75.55134997, 75.45875267, 93.69481176,\n", - " 98.45371035, 81.23182403, 89.54674859, 93.27973743,\n", - " 91.23027702, 52.26233882, 75.85435428, 70.52544329,\n", - " 76.06405271, 63.6855512 , 62.00007709, 90.4335937 ,\n", - " 54.46074475, 99.9260135 , 103.25783609, 97.99301232,\n", - " 94.37845292, 98.50728143, 73.9487538 , 92.08649228,\n", - " 98.25945716, 74.58923414, 87.68260505, 89.29343964,\n", - " 134.03815764, 88.9051424 , 88.79918566, 79.58044494,\n", - " 90.01275469, 96.91555139, 97.45899349, 81.07736664,\n", - " 78.80934337, 114.42698696, 81.81555783, 62.44984654,\n", - " 98.41298089, 98.4138693 , 76.28759391, 75.7587448 ,\n", - " 78.90801152, 49.9146009 , 75.96476554, 96.44953866,\n", - " 79.2350572 , 85.87960678, 75.59728897, 75.00175519,\n", - " 86.07857722, 82.18189876, 99.76616422, 103.81656593,\n", - " 92.7616874 , 91.11227144, 95.35978662, 88.2616213 ,\n", - " 68.72481172, 87.96980016, 93.13791273, 101.25234914,\n", - " 98.04214136, 96.85839152, 85.25801467, 96.75645776,\n", - " 93.97572321, 93.04914939, 54.73070875, 43.585634 ,\n", - " 52.93545624, 87.6142099 , 86.4444924 , 142.71391389,\n", - " 88.23386655, 83.56878643, 95.49951327, 98.60479359,\n", - " 89.25988075, 96.87178747, 89.62334532, 64.30506555,\n", - " 65.81822345, 84.53042796, 76.24207863, 78.30362491,\n", - " 90.20560211, 47.3900843 , 80.86269315, 91.41750726,\n", - " 97.28819087, 128.41822107, 76.42403637, 82.13598801,\n", - " 93.86790055, 102.60730611, 102.39469836, 85.63770058,\n", - " 88.67535082, 81.36469141, 81.16585101, 78.23260076,\n", - " 67.36617702, 90.37880853, 90.08502643, 98.10861416,\n", - " 102.59883743, 76.40823124, 88.85442249, 75.99335462,\n", - " 63.41363317, 61.63398341, 141.14645177, 109.11431901,\n", - " 56.10572444, 58.04899178, 109.70499835, 97.63278203,\n", - " 71.41202213, 106.55285243, 56.69165438, 57.99438339,\n", - " 98.03579946, 102.71192751, 79.33242518, 95.57517517,\n", - " 98.05466699, 100.10983466, 102.98409398, 95.18036023,\n", - " 94.64843797, 94.68274464, 88.98959657, 96.13698536,\n", - " 68.2894725 , 67.86864779, 139.85398364, 140.11651788,\n", - " 94.44529039, 59.32957842, 88.97127128, 82.38174774,\n", - " 101.84152737, 89.08252207, 56.73657614, 56.37562997,\n", - " 83.47615546, 94.416272 , 87.83607241, 100.43317957,\n", - " 92.95066877, 94.12987345, 94.1373529 , 112.90875397,\n", - " 88.20965285, 88.70038667, 79.28239946, 77.59005955,\n", - " 121.21735603, 117.95645993, 97.85045301, 90.95732558,\n", - " 102.85660964, 87.86562635, 119.1646113 , 92.98969573,\n", - " 91.3757613 , 91.05883988, 94.66001042, 73.12428215,\n", - " 88.52209157, 64.55539756, 93.44656214, 95.72688341,\n", - " 56.26518254, 88.52085006, 89.92229774, 92.38546907,\n", - " 122.60056628, 117.66458307, 96.93627096, 86.53135409,\n", - " 91.5500996 , 89.84247757, 95.9908403 , 94.81164272,\n", - " 97.67424144, 116.04265522, 126.42442249, 95.14383314,\n", - " 95.3560811 , 96.7605798 , 96.01293588, 94.21844348,\n", - " 89.01415221, 96.32076018, 82.91611153, 92.07443046,\n", - " 92.42274419, 83.89462975, 72.59662575, 128.76764879,\n", - " 88.30379358, 85.84981366, 85.78455506, 97.36219827,\n", - " 68.04001329, 51.12673756, 40.04828842, 73.7742256 ,\n", - " 83.23553258, 110.63091737, 100.4460915 , 100.96995723,\n", - " 81.47475435, 44.63291139, 67.63085159, 96.4364428 ,\n", - " 87.2958667 , 73.21187906, 112.40699856, 104.02608286,\n", - " 96.72084465, 95.18730928, 55.49367693, 95.36326897,\n", - " 83.50037202, 102.37685627, 95.78840853, 98.52006648,\n", - " 89.23506524, 88.65494485, 88.62169016, 66.5421596 ,\n", - " 57.83768075, 73.84421532, 79.00990601, 72.44332575,\n", - " 104.13616186, 102.88436751, 54.37147217, 60.40406434,\n", - " 85.09957095, 94.76345214, 90.24375389, 89.44993702,\n", - " 89.46413379, 93.52863272, 86.7009538 , 93.49450235,\n", - " 92.68253019, 93.10350317, 100.4167116 , 72.56032506,\n", - " 95.82060753, 62.34505867, 46.6000582 , 96.87683922,\n", - " 76.47649274, 71.85879124, 103.08494359, 53.13874467,\n", - " 121.3147862 , 123.28769673, 93.07542187, 88.77959393,\n", - " 87.92059994, 94.02377019, 84.26571652, 94.32221514,\n", - " 93.80801557, 93.22811113, 86.04652259, 111.03935213,\n", - " 38.72044541, 40.04288055, 69.91126405, 97.39829875,\n", - " 82.68246569, 40.59730312, 54.98463828, 102.91778656,\n", - " 94.86169643, 98.1586149 , 89.88658397, 42.87799379,\n", - " 94.97572697, 85.6150191 , 98.47442701, 85.7184131 ,\n", - " 96.81126577, 93.55360325, 88.78513846, 96.656405 ,\n", - " 65.83675864, 55.21563613, 95.98875853, 90.01831601,\n", - " 98.5255039 , 132.66602849, 81.35593868, 89.14251229,\n", - " 52.72477675, 39.77765981, 97.82337176, 102.00928205,\n", - " 95.84287301, 96.3292924 , 75.78020587, 70.89278482,\n", - " 86.69018187, 77.25221834, 77.93788457, 114.25678978,\n", - " 104.04031412, 102.18606044, 74.54782677, 42.8613551 ,\n", - " 43.07935765, 91.25648051, 86.42467401, 98.90253601,\n", - " 93.86655497, 42.34371697, 42.60027428, 66.87687099,\n", - " 98.39910393, 96.75478484, 79.67291979, 99.94619415,\n", - " 97.97100918, 100.98022911, 86.78833231, 75.22356121,\n", - " 91.05519698, 96.94558236, 97.33834469, 96.79090632,\n", - " 96.45191135, 93.33218883, 95.49154786, 98.27774745,\n", - " 83.00514445, 111.45219917, 70.74681277, 92.99659911,\n", - " 94.07418285, 102.83055102, 92.96498557, 96.66672826,\n", - " 103.9312226 , 89.87761227, 131.81132915, 119.55601986,\n", - " 123.46404851, 102.51498174, 92.08788555, 91.12907142,\n", - " 82.87060071, 96.09073705, 97.11827998, 95.86408719,\n", - " 108.7586701 , 97.19134305, 95.348816 , 64.04001933,\n", - " 119.19697251, 86.02002246, 88.11381598, 91.58303169,\n", - " 82.41610934, 43.86041595, 112.40643649, 89.52432606,\n", - " 73.23411552, 65.73185289, 81.16522169, 86.08893953,\n", - " 87.25642258, 76.9910931 , 131.56029203, 96.25776488,\n", - " 93.28935198, 86.50375524, 46.00270603, 90.3049405 ,\n", - " 95.21935435, 87.8637405 , 77.66927845, 62.81547278,\n", - " 44.53986433, 88.53260297, 80.54218087, 80.66086208,\n", - " 94.09586698, 93.34505903, 92.3328481 , 93.98968571,\n", - " 94.73922821, 101.00234179, 101.60064226, 64.99885961,\n", - " 100.94486705, 94.98812129, 79.03402097, 80.2794629 ,\n", - " 116.20033348, 98.81648225, 76.11570718, 99.53329496,\n", - " 136.26903595, 85.40892 , 87.79692894, 87.78082814,\n", - " 77.67546491, 94.0830273 , 81.08042891, 98.01629704,\n", - " 125.23471737, 90.07511582, 98.96424373, 87.47040986,\n", - " 89.29026963, 86.7161268 , 90.13203316, 89.41174618,\n", - " 77.4539898 , 97.37799908, 76.99637 , 97.76073298,\n", - " 102.62566344, 92.28191778, 92.44324456, 86.58752056,\n", - " 87.45658766, 81.56996568, 84.83263969, 92.22427182,\n", - " 96.47769009, 83.89343513, 63.62886031, 87.52208566,\n", - " 93.69533441, 91.37769791, 102.94609483, 107.45683043,\n", - " 95.35815841, 59.60751978, 90.62657262, 84.78477397,\n", - " 102.94983736, 116.62902463, 80.9631395 , 130.96285836,\n", - " 86.989471 , 70.73875031, 68.9931146 , 122.95961535,\n", - " 90.40392576, 86.44321752, 95.71525965, 88.12152579,\n", - " 42.84176349, 42.43701803, 103.87211705, 92.82162025,\n", - " 89.0363981 , 96.67220672, 100.21925413, 111.70463831,\n", - " 100.4145587 , 124.04046378, 67.62927216, 95.31913591,\n", - " 95.34307336, 100.92731773, 87.51395966, 101.83797742,\n", - " 97.21352077, 87.92447699, 92.21246439, 94.122784 ,\n", - " 98.97328379, 84.24168159, 82.84862117, 89.4724246 ,\n", - " 81.98734879, 84.77433438, 69.8249912 , 89.23587905,\n", - " 89.30507482, 88.92942964, 97.6867866 , 103.0655468 ,\n", - " 46.58663917, 71.21461749, 99.26923354, 42.29483016,\n", - " 52.35346305, 73.55448128, 88.9807538 , 59.21231151,\n", - " 78.97572891, 78.97527614, 101.85672954, 86.48215918,\n", - " 84.62902239, 94.9371626 , 94.33994521, 67.74411825,\n", - " 62.29764768, 97.03836305, 96.68853468, 81.3488102 ,\n", - " 51.23505791, 96.04824149, 97.49520545, 81.96849908,\n", - " 111.67707429, 85.85878198, 96.3774969 , 80.0864996 ,\n", - " 102.92851383, 71.92858059, 56.4725144 , 92.81555288,\n", - " 68.17691339, 92.68886919, 90.36781425, 46.7144521 ,\n", - " 98.74957599, 76.34490625, 91.19876928, 98.71699856,\n", - " 85.40722247, 92.89940091, 104.95954048, 50.27114507,\n", - " 62.50470041, 92.64981261, 44.73455428, 70.76579793,\n", - " 49.83079369, 90.77344127, 68.68239341, 89.6565597 ,\n", - " 114.29509716, 81.66366696, 69.22252967, 66.63008329,\n", - " 87.82836274, 88.78254371, 83.02313137, 42.64297319,\n", - " 96.93106238, 65.26944701, 86.87172035, 103.26531457,\n", - " 100.88021739, 99.84753346, 88.33051738, 73.02052763,\n", - " 95.3596788 , 90.96839739, 97.79256252, 45.33643316,\n", - " 113.27777516, 93.41480744, 85.4526909 , 85.70103236,\n", - " 74.88348172, 96.09964516, 96.00232142, 90.16192285,\n", - " 68.88475585, 100.54211827, 126.48987382, 88.40430833,\n", - " 69.60803622, 82.99116586, 97.25560114, 100.99369721,\n", - " 51.14506219, 68.08133127, 71.91242943, 79.82685427,\n", - " 89.71388425, 79.86544184, 96.43986749, 88.89202528,\n", - " 70.81991079, 81.74873978, 87.74921476, 88.71373062,\n", - " 109.78787946, 86.13875264, 61.38205279, 85.33551737,\n", - " 98.07773065, 43.43970154, 46.53981438, 87.03426113,\n", - " 85.91197815, 85.83752337, 67.45052346, 100.17873129,\n", - " 75.9448818 , 83.21451488, 87.53423899, 87.33021318,\n", - " 101.57810775, 69.1528301 , 87.91576651, 46.68198697,\n", - " 75.51849056, 80.26318043, 77.81055824, 97.64438718,\n", - " 55.1609517 , 61.21019537, 82.42380952, 47.01065678,\n", - " 94.13075741, 104.13839451, 94.70043659, 94.36482428,\n", - " 93.807996 , 101.83936436, 46.31509896, 104.09246624,\n", - " 80.72215448, 103.41567414, 100.17116434, 83.76683059,\n", - " 82.54871209, 94.20602824, 84.58551139, 82.30180381,\n", - " 75.19221472, 88.53772192, 80.05366431, 76.40097384,\n", - " 129.16711556, 45.85245044, 94.58086085, 128.08368449,\n", - " 95.2449 , 79.21417265, 95.35815784, 96.01635348,\n", - " 50.28594181, 75.79363726, 92.72629986, 64.01498207,\n", - " 91.21948778, 58.04672753, 87.52004069, 85.62169067,\n", - " 93.0334901 , 103.33803969, 110.82082309, 103.08704005,\n", - " 75.17880818, 91.21837484, 85.07327123, 93.52243294,\n", - " 87.54694215, 80.94065449, 117.19438317, 87.44087941,\n", - " 96.66388529, 87.92925398, 86.5219897 , 87.19710078,\n", - " 88.78724883, 95.29044683, 84.96986524, 85.00279295,\n", - " 102.65981528, 91.57418017, 91.32388693, 98.27132536,\n", - " 73.01442127, 135.03066016, 91.22342445, 76.35783121,\n", - " 68.92621452, 83.77129123, 80.61673246, 55.35677877,\n", - " 96.6034505 , 130.35348638, 83.14361181, 92.46785993,\n", - " 71.63869395, 86.20401111, 87.6896548 , 90.32635352,\n", - " 94.5071131 , 57.45744169, 91.19773626, 97.28503458,\n", - " 63.46958573, 88.86172231, 86.47244893, 88.27482636,\n", - " -1.6634491 , 56.88896306, 49.82029651, 98.69879083,\n", - " 78.94646169, -0.43094095, -0.79487993, 103.83919145,\n", - " 55.53686241, 54.08866256, 81.15821919, 12.79543415,\n", - " 34.94729219, 122.7406665 , 70.16911011, 39.99 ,\n", - " 134.91858379, 135.4637016 , 1.72776122, 135.26892633,\n", - " 136.15490616, 51.59973061, 155.33973066, 98.5960615 ,\n", - " 98.19754286, -0.45832017, 169.56240511, 15.35067529,\n", - " 45.52541058, 164.26840307, 120.52371328, 105.91122179,\n", - " 70.16911013, 73.61643307, 134.9185834 , 135.46370181,\n", - " 0. , 0. , 60.68416547, 75.48924379,\n", - " 46.194113 , 64.28530411, 38.61984113, 42.31905477,\n", - " 26.77547469, 35.14476956, 53.90292468, 46.58613708,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 65.16897623, 68.81910795, 81.84185447, 55.41906372,\n", - " 97.32154455, 97.35415431, 98.30263185, 95.720112 ,\n", - " 78.01500866, 45.88718656, 96.02387864, 97.35422006,\n", - " 73.83670476, 90.34033692, 90.37599352, 91.87625121,\n", - " 67.24468972, 72.59894276, 77.3999442 , 88.48016139,\n", - " 92.63814253, 91.64822002, 88.09853868, 90.69731735,\n", - " 97.87518247, 96.53016396, 87.95825119, 85.23841079,\n", - " 58.71986858, 144.59545798, 88.03651264, 87.71663458,\n", - " 91.97093282, 54.81476205, 88.38309726, 60.95757593,\n", - " 80.86513796, 71.3070251 , 37.35825623, 51.85340795,\n", - " 83.00376169, 85.35161397, 87.38416983, 80.41475535,\n", - " 98.15696104, 65.4515543 , 95.2748448 , 74.92433187,\n", - " 98.19095677, 76.84427523, 96.04558087, 95.18891383,\n", - " 91.94647698, 98.00220666, 61.12805435, 93.55668979,\n", - " 93.36522664, 112.96330231, 93.47081063, 59.46504742,\n", - " 82.33294897, 73.37070111, 79.11061236, 79.02883076,\n", - " 72.9101193 , 79.34456563, 78.85708245, 76.42598667,\n", - " 84.36555596, 363.53206633, 71.86019894, 79.6965361 ,\n", - " 90.75695466, 91.28900374, 83.56830821, 85.32089926,\n", - " 37.05036739, 91.82461358, 88.53210173, 78.34475919,\n", - " 51.51741654, 101.45236554, 89.4669911 , 102.53014838,\n", - " 92.89572021, 92.67784363, 85.63287568, 92.31720834,\n", - " 92.39327269, 42.43790939, 36.91944884, 90.98740335,\n", - " 70.51141136, 68.61109471, 99.82167006, 85.94306219,\n", - " 97.50828652, 97.51799244, 49.04049644, 84.17358982,\n", - " 95.39583608, 108.54706836, 72.17363227, 93.22811063,\n", - " 88.38677211, 87.93509046, 79.35194307, 94.66293718,\n", - " 94.45420201, 91.01920376, 95.76416638, 91.47649507,\n", - " 124.40198886, 63.85710235, 52.93480076, 125.52830195,\n", - " 98.78798573, 117.02885866, 110.08854045, 129.54625157,\n", - " 95.62871842, 57.6339973 , 59.08943368, 65.96080704,\n", - " 69.26604146, 143.59910671, 84.36772999, 83.8905626 ,\n", - " 84.67512786, 81.34518069, 90.31083708, 82.84293038,\n", - " 95.10942648, 94.81429106, 83.89843815, 86.12981759,\n", - " 79.67604452, 93.92725487, 96.62721084, 96.62831529,\n", - " 90.42276134, 88.27486727, 81.74587438, 88.30220069,\n", - " 92.03309487, 95.83456033, 95.69127643, 63.88210502,\n", - " 85.94167144, 113.51300187, 92.47902317, 69.17086934,\n", - " 121.21059696, 76.01276972, 101.14622316, 91.24861473,\n", - " 86.16586552, 86.8917864 , 94.11202454, 43.39647138,\n", - " 44.16297929, 97.0935801 , 87.21203871, 82.79183121,\n", - " 89.13478117, 89.1322496 , 129.86739147, 112.10948192,\n", - " 86.07892123, 95.56409256, 81.66095702, 87.25225393,\n", - " 86.77368771, 74.12981721, 62.64717549, 97.14027306,\n", - " 97.89078837, 75.01119096, 74.9185936 , 93.12129657,\n", - " 97.91386712, 80.68324385, 88.99800003, 92.10636623,\n", - " 90.0570114 , 51.70793905, 75.32868579, 69.9997748 ,\n", - " 75.51647693, 63.13797543, 61.43547032, 89.86634368,\n", - " 53.89613798, 95.22152437, 98.49292031, 97.51256636,\n", - " 87.8270238 , 91.9558523 , 73.44450354, 91.5055004 ,\n", - " 97.676902 , 74.08498392, 87.11885333, 88.74385177,\n", - " 134.03794908, 88.3527681 , 88.24651926, 79.03331942,\n", - " 89.46567701, 96.33060652, 96.87414069, 80.56064245,\n", - " 78.28696084, 113.61432771, 81.26431767, 61.89860637,\n", - " 97.86449582, 97.86538246, 75.77649877, 75.24708223,\n", - " 78.39276443, 49.39935381, 75.42460634, 96.44953866,\n", - " 78.70938871, 85.27036192, 75.05712971, 74.46159591,\n", - " 85.53840906, 81.63331858, 88.51236295, 92.94292786,\n", - " 92.7616874 , 91.11227144, 94.81031206, 87.75664909,\n", - " 68.17799034, 87.48317518, 92.58843242, 101.23413357,\n", - " 97.46343474, 96.45387858, 84.85350172, 96.27565345,\n", - " 93.53732775, 93.04914939, 54.18306794, 43.03881262,\n", - " 52.38781542, 87.28849969, 86.0356518 , 142.68930653,\n", - " 88.18022229, 83.02054213, 94.93808397, 98.04108855,\n", - " 88.84559845, 96.3320753 , 89.20906302, 63.131823 ,\n", - " 64.64498091, 83.71776968, 75.42942035, 77.74891982,\n", - " 89.65120622, 46.84244348, 69.60889246, 80.16370655,\n", - " 96.77987588, 128.39361372, 75.8594296 , 81.57138124,\n", - " 92.69450819, 89.88354572, 89.67093797, 85.08588926,\n", - " 88.12261029, 80.81632614, 80.63397514, 77.70072489,\n", - " 66.81860125, 89.83117799, 89.53739676, 92.49915088,\n", - " 96.98937414, 76.00371829, 88.30093112, 75.58884167,\n", - " 62.87347296, 61.0938232 , 141.11957924, 109.08810551,\n", - " 55.54111767, 57.48438501, 108.89234006, 96.82012374,\n", - " 70.86021081, 106.49920849, 56.13984306, 57.45318377,\n", - " 91.31940437, 95.99553242, 78.76557763, 95.17066222,\n", - " 97.65015405, 87.38607427, 90.26033359, 94.61550462,\n", - " 94.59479404, 94.11799928, 88.41527594, 95.55251064,\n", - " 67.72486572, 67.30404102, 139.83775309, 140.09995764,\n", - " 93.88157014, 58.7777671 , 87.79802874, 81.81714096,\n", - " 89.11776698, 88.5289281 , 56.19340117, 55.83206986,\n", - " 82.90409492, 81.69251161, 87.28261538, 100.40973918,\n", - " 92.38871015, 93.56946161, 93.57596132, 112.90875397,\n", - " 87.64504608, 88.13006807, 78.74224021, 77.04990031,\n", - " 121.21735603, 117.95645993, 97.28827142, 90.40386855,\n", - " 102.83839407, 87.84741078, 119.1646113 , 92.98969573,\n", - " 90.88104526, 90.56530976, 94.12825675, 72.59867666,\n", - " 81.02672996, 57.06003595, 92.90101652, 95.28693545,\n", - " 55.74280002, 88.03703173, 89.46255927, 91.80400447,\n", - " 122.60056628, 117.66458307, 96.42748019, 85.96674732,\n", - " 91.0546586 , 89.35125633, 95.50267747, 94.24690242,\n", - " 97.09959308, 115.22999694, 125.61176421, 94.59484112,\n", - " 94.80670777, 96.19348148, 95.44579459, 93.65374026,\n", - " 88.5249793 , 95.78058697, 82.36853576, 84.57906885,\n", - " 91.8827547 , 83.35447117, 71.78397012, 127.95499316,\n", - " 87.13055449, 85.31793778, 85.2368535 , 96.87633451,\n", - " 67.49962989, 50.58635416, 32.55292681, 73.23377319,\n", - " 82.68724792, 109.81826174, 95.24854883, 95.79436368,\n", - " 80.86550949, 44.08520982, 67.02160673, 95.89659956,\n", - " 86.75602346, 73.17403111, 112.36915061, 97.30968777,\n", - " 96.17235788, 94.63882251, 54.93635818, 94.81385156,\n", - " 82.32712947, 102.3586407 , 95.35068189, 97.94498774,\n", - " 88.68940318, 88.14212663, 88.10887593, 66.0254354 ,\n", - " 57.29752148, 73.3399651 , 78.45809469, 71.2700832 ,\n", - " 98.36407378, 97.11986703, 53.30944596, 59.3283143 ,\n", - " 84.54509328, 94.18913699, 89.07047946, 88.93706407,\n", - " 88.95130244, 92.97935634, 86.1280967 , 92.94984819,\n", - " 92.14764487, 93.04985923, 92.92134999, 65.06496345,\n", - " 95.25333648, 61.80467528, 46.0656977 , 96.31213451,\n", - " 75.95082425, 71.28580947, 90.36118319, 52.65069474,\n", - " 121.31549196, 123.28840249, 93.05231729, 88.22187103,\n", - " 87.36297427, 93.47421389, 83.09247399, 93.77265883,\n", - " 92.63475541, 92.05485098, 85.56532051, 111.01247961,\n", - " 38.1847219 , 39.50715704, 69.34527767, 96.88950798,\n", - " 81.50922316, 40.0496623 , 53.81139573, 90.19402616,\n", - " 94.31270856, 92.51257426, 77.26596566, 30.25737548,\n", - " 94.40279272, 85.04712928, 97.9095784 , 85.15441442,\n", - " 91.95250264, 92.99015155, 88.22116144, 96.10791816,\n", - " 65.29637525, 54.67525274, 95.50579197, 89.56083458,\n", - " 97.95877669, 132.62818054, 80.79660948, 88.58318308,\n", - " 52.1764921 , 39.22937515, 97.26119017, 96.46398187,\n", - " 95.26322526, 95.74964465, 75.24122309, 70.3885346 ,\n", - " 86.27432307, 76.71275602, 77.39842225, 114.23212261,\n", - " 91.29947511, 89.44522142, 74.01210326, 42.32097171,\n", - " 42.53897426, 90.67858574, 85.87121697, 98.32288825,\n", - " 92.69316734, 41.80355764, 42.06011492, 66.33671077,\n", - " 97.82773342, 96.1894371 , 68.79928172, 94.14903108,\n", - " 97.40544316, 95.18306604, 80.99116923, 74.68340194,\n", - " 90.49749975, 96.40050068, 96.79342503, 96.22732538,\n", - " 95.89432089, 80.60842844, 94.67889223, 97.71280903,\n", - " 82.45043344, 111.4339836 , 69.63966494, 92.42951348,\n", - " 93.51095146, 91.57675012, 92.41171481, 96.23027594,\n", - " 91.24435291, 89.38433449, 130.96730713, 119.55672562,\n", - " 123.46404851, 102.51498174, 79.50518882, 78.53761198,\n", - " 82.32292888, 95.52773348, 96.55450263, 95.30123295,\n", - " 108.70502607, 96.62747232, 94.79948733, 62.93287149,\n", - " 118.38431423, 85.46643998, 87.62966414, 90.40978915,\n", - " 81.86373326, 43.31996354, 112.40643649, 88.9766245 ,\n", - " 72.74806115, 65.19637032, 80.61809617, 85.51576409,\n", - " 86.68325578, 76.50176589, 131.50664401, 95.77072039,\n", - " 92.73164619, 85.95605367, 45.44695348, 89.75788123,\n", - " 94.64729797, 87.2952628 , 77.1309828 , 62.27508938,\n", - " 43.99948094, 87.9601147 , 67.81842047, 79.84820379,\n", - " 92.92262445, 92.17178211, 91.78329179, 88.41801738,\n", - " 89.16755988, 94.2859467 , 94.88424716, 64.18620132,\n", - " 94.12398823, 88.16724248, 78.52041704, 79.10622037,\n", - " 116.18410292, 98.80025169, 75.59003869, 92.03793335,\n", - " 136.26974171, 84.84169125, 87.22390263, 87.22894536,\n", - " 77.12358213, 93.49371603, 80.53389472, 97.42698577,\n", - " 125.21848681, 89.69189022, 93.79641499, 86.91695283,\n", - " 88.7368126 , 86.15846605, 89.72752021, 89.00723323,\n", - " 76.92832131, 96.89085777, 76.47070151, 92.15204683,\n", - " 89.90190305, 79.66124855, 91.90330325, 86.03406353,\n", - " 86.90313063, 81.05983948, 83.65939716, 91.05102928,\n", - " 95.97189154, 82.7201926 , 62.45561778, 86.34884312,\n", - " 93.13328076, 90.81564425, 102.13343655, 107.43861486,\n", - " 94.80877228, 58.53176973, 90.1281947 , 84.20428176,\n", - " 97.15267428, 116.62902463, 73.46777789, 130.96285836,\n", - " 86.93582697, 70.17414354, 68.42850782, 122.95961535,\n", - " 89.90596721, 85.87115698, 94.90260137, 87.3088675 ,\n", - " 42.3013801 , 41.89663464, 96.37675544, 92.27398971,\n", - " 88.46409952, 96.13233329, 100.19581373, 111.65099405,\n", - " 87.6907983 , 124.04046378, 67.12828725, 94.76999022,\n", - " 94.79378003, 95.7517265 , 86.94098065, 89.11421702,\n", - " 96.65358734, 87.37101996, 91.63103166, 93.57883464,\n", - " 98.37534911, 83.06843906, 82.30095193, 88.92479184,\n", - " 81.43262735, 84.21961294, 68.65174866, 88.67121321,\n", - " 88.73726535, 88.3560319 , 97.12755706, 90.3417864 ,\n", - " 46.04924016, 70.66103501, 99.25101797, 41.75444676,\n", - " 51.86740868, 73.04061455, 88.43831794, 58.69844478,\n", - " 78.46212498, 78.4616722 , 89.13296915, 85.92145198,\n", - " 84.07145497, 94.38815748, 93.79094009, 67.17111297,\n", - " 61.7246424 , 96.49818823, 96.12115528, 80.17556767,\n", - " 50.70039603, 95.46000821, 91.94408922, 80.79525655,\n", - " 111.67707429, 84.68554617, 91.21551066, 79.51443906,\n", - " 97.75292029, 60.67477993, 55.91498173, 92.00289459,\n", - " 67.62978787, 92.15394117, 89.84764786, 46.20084816,\n", - " 93.58174725, 75.77284571, 91.19876928, 92.16556943,\n", - " 84.83929488, 80.17564051, 104.95954048, 44.43974353,\n", - " 61.9645402 , 92.1026475 , 44.19417088, 69.95313964,\n", - " 49.27841761, 83.27807965, 61.1870318 , 88.48329955,\n", - " 113.48244152, 81.64022657, 68.65792289, 65.817425 ,\n", - " 87.26305885, 88.76432813, 81.84988884, 42.13187805,\n", - " 96.39119947, 64.70484024, 85.69847782, 103.247099 ,\n", - " 95.70462616, 94.67194223, 87.7571217 , 72.4484671 ,\n", - " 94.81028336, 90.41494036, 92.15085319, 44.79627389,\n", - " 113.26154461, 93.36116008, 84.89923386, 85.14757533,\n", - " 74.86004133, 95.56867128, 95.96447348, 89.7574099 ,\n", - " 68.83110838, 95.36652704, 126.48987382, 87.83317915,\n", - " 69.0678769 , 82.4424173 , 96.72550073, 100.97746665,\n", - " 50.08303598, 67.51448371, 70.8052816 , 79.26945423,\n", - " 89.16114372, 79.81179445, 91.36477693, 88.31980894,\n", - " 70.27987004, 80.57549723, 86.93655648, 88.1497536 ,\n", - " 109.70081817, 85.5852956 , 60.20881025, 84.77481018,\n", - " 97.52924429, 42.8823015 , 46.00241538, 86.48046746,\n", - " 85.34671982, 85.28406633, 66.91036325, 87.45497089,\n", - " 75.92666623, 82.65980387, 86.96254725, 86.15697511,\n", - " 96.50301718, 68.5977159 , 87.36197284, 45.61996076,\n", - " 74.70583228, 79.08994462, 77.7727103 , 92.99239286,\n", - " 53.98770916, 60.65539439, 81.87522935, 46.47236113,\n", - " 93.56935474, 98.78813716, 94.12078884, 93.90508581,\n", - " 92.63473585, 89.11560397, 45.78019628, 91.35149455,\n", - " 80.17357431, 103.39745856, 87.44740394, 83.21955645,\n", - " 82.00104381, 82.95222734, 84.03783743, 81.75412985,\n", - " 74.66654623, 87.99122996, 79.50717235, 75.89672362,\n", - " 129.16711556, 44.79042423, 81.85710045, 127.23966246,\n", - " 95.2449 , 78.68850416, 94.80877171, 83.22243047,\n", - " 49.72133504, 75.28938704, 81.47249905, 63.97713412,\n", - " 90.71213359, 57.49491621, 86.97335383, 85.13012842,\n", - " 92.47972216, 97.56595161, 110.82082309, 97.35317151,\n", - " 74.65313968, 79.96457394, 84.51567716, 92.97688731,\n", - " 86.37370635, 79.76741868, 117.14073533, 86.94196626,\n", - " 96.66388529, 86.7560149 , 85.9516711 , 86.62393398,\n", - " 88.23961915, 82.54960781, 84.42030894, 84.45323665,\n", - " 97.050352 , 91.02687458, 90.82282116, 97.72283936,\n", - " 72.60990832, 135.03136592, 90.67579478, 75.81767197,\n", - " 68.38605528, 83.22175992, 79.80407417, 55.33856319,\n", - " 96.08966419, 130.35419214, 82.59594257, 91.08367392,\n", - " 71.08523691, 85.65055408, 87.13619777, 77.70573522,\n", - " 94.00340983, 46.20364103, 90.63861052, 96.75494503,\n", - " 63.39220939, 87.68847978, 85.91886645, 87.72124388,\n", - " -1.6634491 , 56.38872133, 48.76964431, 98.1933937 ,\n", - " 78.43375414, -0.43097567, -0.79491551, 99.08447673,\n", - " 55.05536389, 53.57055157, 80.61642265, 12.50108896,\n", - " 23.69349153, 122.68701866, 69.35645448, 39.99 ,\n", - " 134.0619976 , 134.99428802, 1.72776122, 134.79888575,\n", - " 135.29332135, 51.08975352, 155.25266937, 98.01039522,\n", - " 97.59978848, -0.45923291, 169.53522878, 14.81912177,\n", - " 44.9825096 , 164.18848933, 120.44633694, 105.85757785,\n", - " 69.3564545 , 73.53905673, 134.06199721, 134.99428823,\n", - " 0. , 0. , 60.6951131 , 75.47098149,\n", - " 46.194113 , 64.28530411, 38.60223386, 42.31905477,\n", - " 26.77547469, 35.06739327, 53.8864289 , 46.51641884,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 63.96573009, 67.69607995, 80.6396458 , 54.21685504,\n", - " 96.06145727, 96.09099893, 97.03926802, 94.57223043,\n", - " 76.77014148, 44.64255446, 94.78947755, 96.12184633,\n", - " 72.84014062, 89.17648485, 89.11592934, 90.61618703,\n", - " 66.01745436, 71.35598534, 76.13700473, 87.21722192,\n", - " 91.49076222, 90.50233259, 86.83757322, 64.72137813,\n", - " 96.64749627, 95.30643001, 86.69697927, 83.13561119,\n", - " 56.61706899, 144.44650669, 86.45522826, 85.61381028,\n", - " 89.86810715, 53.59062383, 87.15499133, 59.73343762,\n", - " 79.64100054, 70.08288768, 36.13411833, 50.62926986,\n", - " 81.74950594, 84.09735822, 86.15644082, 79.1972715 ,\n", - " 96.879673 , 64.91584798, 83.64995684, 75.00116903,\n", - " 96.92040259, 75.72124724, 94.88859766, 94.01297329,\n", - " 90.67553089, 96.72585383, 59.8737986 , 92.30243404,\n", - " 92.11097089, 112.75829639, 93.33318143, 59.2600415 ,\n", - " 80.23283302, 71.36311691, 54.4688278 , 54.3870462 ,\n", - " 71.68598042, 78.12042675, 53.1965871 , 50.76549132,\n", - " 83.14141175, 362.30585423, 70.63605952, 78.47239868,\n", - " 86.73664438, 87.26869346, 81.4655086 , 73.6960113 ,\n", - " 25.42547943, 85.51196422, 81.80178327, 53.70297463,\n", - " 51.38435375, 101.2473596 , 89.26198517, 102.60698554,\n", - " 90.79176067, 90.57249031, 84.40873067, 86.52434605,\n", - " 86.55208 , 41.21377181, 35.69531106, 65.02958734,\n", - " 69.28727201, 67.38695582, 99.61666412, 85.73805626,\n", - " 96.23193368, 96.2416396 , 25.77853885, 60.91163222,\n", - " 95.19083011, 108.54706836, 70.5923497 , 93.22811063,\n", - " 87.14651359, 86.69479164, 54.71015851, 88.97923376,\n", - " 92.33184689, 88.79026596, 90.41831346, 86.13064215,\n", - " 124.40198886, 62.66167101, 51.73936943, 125.52830195,\n", - " 93.44213281, 117.08523262, 110.14491441, 129.54625157,\n", - " 95.62871842, 56.44811557, 57.90316476, 64.77054207,\n", - " 68.07577649, 143.45015541, 84.19482012, 83.71765274,\n", - " 83.49652911, 80.17910827, 89.05658133, 81.58867462,\n", - " 89.49910667, 89.18907008, 59.25665358, 61.48803303,\n", - " 78.47204692, 92.67299912, 95.36832122, 95.37047068,\n", - " 90.27708899, 88.12919492, 57.10408981, 63.66041613,\n", - " 86.1841393 , 94.5922498 , 94.44692137, 62.67810741,\n", - " 60.28117609, 113.36415084, 66.67881213, 67.94470217,\n", - " 121.21059696, 74.88974172, 101.01316037, 85.90276181,\n", - " 81.34526909, 82.15075309, 92.88829059, 42.15791259,\n", - " 42.92568293, 95.8364774 , 62.57025415, 58.15004665,\n", - " 64.4929966 , 64.49046504, 129.71884171, 111.96183217,\n", - " 81.23600383, 94.34035861, 80.4349562 , 86.02625311,\n", - " 81.85608152, 72.90567975, 61.42303803, 95.87328323,\n", - " 96.62157743, 73.7870538 , 73.69445636, 91.86433456,\n", - " 96.69013317, 79.45696207, 87.7714423 , 90.00338149,\n", - " 87.954179 , 50.46845956, 74.16151191, 68.83260092,\n", - " 74.29602977, 61.91752826, 60.18385475, 88.60838222,\n", - " 52.64452241, 91.17220406, 94.41019623, 96.36468479,\n", - " 79.11325633, 83.24208484, 72.32147545, 90.23506943,\n", - " 96.40662833, 72.96195592, 85.8655736 , 87.51590725,\n", - " 134.09228696, 87.1139718 , 87.00736392, 77.81602224,\n", - " 88.24869055, 95.05807973, 95.60163443, 79.412311 ,\n", - " 77.12732664, 112.03304265, 80.04878288, 60.68307159,\n", - " 96.63010176, 96.630984 , 74.63943209, 74.10886107,\n", - " 77.26813669, 48.27472606, 74.20046896, 96.44953866,\n", - " 77.54221482, 83.98182256, 73.83299226, 73.23745844,\n", - " 84.31426065, 80.4070368 , 63.87056989, 69.68097026,\n", - " 92.7616874 , 91.11227144, 93.58256451, 86.57762246,\n", - " 66.98134258, 86.32662506, 91.35319215, 101.10107078,\n", - " 96.19680943, 95.39757871, 83.79720186, 95.12687689,\n", - " 92.44021557, 93.04914939, 52.98085926, 41.84216486,\n", - " 51.18560675, 86.32653197, 84.97325449, 142.54035523,\n", - " 87.97521633, 81.81469597, 93.68184136, 96.78219892,\n", - " 87.77808479, 95.108508 , 88.14154936, 61.02902341,\n", - " 62.54218131, 82.13648529, 73.84813596, 76.507361 ,\n", - " 88.40990577, 45.6402348 , 43.2150696 , 53.83346612,\n", - " 95.59621335, 128.24466242, 74.60781403, 80.31976567,\n", - " 90.59149297, 65.24176115, 65.0291534 , 83.85261482,\n", - " 86.88336309, 79.59039649, 79.45537639, 76.52212614,\n", - " 65.59815408, 88.60494815, 88.31116656, 86.55583946,\n", - " 91.04606272, 74.94741843, 87.06075242, 74.53254181,\n", - " 61.6493344 , 59.86968464, 140.96622032, 108.9360926 ,\n", - " 54.2895021 , 56.23276944, 107.31105567, 95.23883936,\n", - " 69.62693637, 106.29420253, 54.90656862, 56.25063509,\n", - " 82.10156036, 86.77768841, 77.52101847, 94.11436236,\n", - " 96.59385418, 62.7442897 , 65.61854902, 93.35689408,\n", - " 94.38978807, 92.8596466 , 87.15229377, 94.28047383,\n", - " 66.47325016, 66.05242545, 139.85641239, 140.11787865,\n", - " 92.6253352 , 57.54449266, 85.69522914, 80.5655254 ,\n", - " 64.47598241, 87.28862928, 54.98589678, 54.6235996 ,\n", - " 81.64983917, 57.05072704, 86.04249577, 100.26337907,\n", - " 91.13556991, 92.3158166 , 92.32206556, 112.90875397,\n", - " 86.39343051, 86.87231408, 77.51810278, 75.82576288,\n", - " 121.21735603, 117.95645993, 96.03143218, 89.16374894,\n", - " 102.70533128, 87.71434799, 119.1646113 , 92.98969573,\n", - " 89.71457777, 89.40032954, 92.91356606, 71.43260425,\n", - " 69.401842 , 45.43514799, 91.67393485, 94.18797648,\n", - " 54.58316581, 86.88399045, 88.33866569, 90.53321208,\n", - " 122.60056628, 117.66458307, 95.24429726, 84.71513175,\n", - " 89.88728174, 88.18917097, 94.34430637, 92.98863309,\n", - " 95.83646732, 113.64871255, 124.03047982, 93.36788441,\n", - " 93.57912613, 94.93566527, 94.18792378, 92.39548587,\n", - " 87.36540411, 94.55643234, 81.1480886 , 72.95418089,\n", - " 90.6588346 , 82.13033459, 70.20268754, 126.37371058,\n", - " 85.02775983, 84.13933903, 84.03428023, 95.72078429,\n", - " 66.30419856, 49.39092283, 20.92803885, 72.038216 ,\n", - " 81.47719629, 108.23697916, 90.24242636, 90.83803714,\n", - " 79.57697014, 42.88263656, 65.73306738, 94.67286561,\n", - " 85.53228951, 73.00112125, 112.19624075, 88.09184376,\n", - " 94.9379596 , 93.40442423, 53.69149101, 93.58619767,\n", - " 80.22432987, 102.22557791, 94.25438336, 96.681331 ,\n", - " 87.48197276, 86.95347175, 86.92023587, 64.87710396,\n", - " 56.07338401, 72.21693711, 77.22482025, 69.16728361,\n", - " 92.05165062, 90.80744385, 51.36686235, 57.36596078,\n", - " 83.30379697, 92.92604174, 86.96763412, 87.74820614,\n", - " 87.76259888, 91.74420402, 84.86743939, 91.71889538,\n", - " 90.92974568, 92.84485327, 81.29646203, 53.44007549,\n", - " 93.99528352, 60.60924395, 44.88030053, 95.05315956,\n", - " 74.78365036, 70.02504622, 65.71939863, 51.55910041,\n", - " 121.37186592, 123.34477645, 92.90664494, 86.97645879,\n", - " 86.1176749 , 92.24638962, 80.98967442, 92.54483457,\n", - " 90.53193057, 89.95202613, 84.41540021, 110.85912069,\n", - " 36.99730316, 38.3197383 , 68.10232025, 95.70632505,\n", - " 79.40642359, 38.84745363, 51.70859613, 65.5522416 ,\n", - " 93.08575865, 86.48106365, 52.62418053, 5.61559035,\n", - " 93.14062526, 83.78863178, 96.64938659, 83.90082337,\n", - " 87.6710706 , 91.73513215, 86.97012852, 94.8735197 ,\n", - " 64.10094392, 53.47982141, 94.35375103, 88.4396705 ,\n", - " 96.69646983, 132.45527068, 79.57656004, 87.36313365,\n", - " 50.96644046, 38.01932351, 96.00435093, 90.67111957,\n", - " 93.99697689, 94.48339627, 74.04842589, 69.2655066 ,\n", - " 85.20344657, 75.51905126, 76.20471749, 114.08326752,\n", - " 66.65769055, 64.80343687, 72.82468452, 41.12554038,\n", - " 41.34354293, 89.41347573, 84.63109736, 97.05663988,\n", - " 90.59015893, 40.57942012, 40.83597735, 65.11257222,\n", - " 96.56562399, 94.92921243, 45.53732412, 87.83660793,\n", - " 96.14581227, 88.8706429 , 74.67874609, 73.45926448,\n", - " 89.25206646, 95.1708212 , 95.56393531, 94.97413978,\n", - " 94.64901199, 55.96664387, 93.09760965, 96.45354204,\n", - " 81.20887372, 111.30092081, 67.63208074, 91.17173959,\n", - " 92.25823232, 65.91625477, 91.17184482, 95.13552138,\n", - " 66.60256822, 88.2197624 , 129.34084838, 119.61309958,\n", - " 123.46404851, 102.51498174, 54.86340347, 53.89582669,\n", - " 81.09671591, 94.27025011, 95.29551917, 94.04387842,\n", - " 108.50002011, 95.36838042, 93.57197887, 60.9252873 ,\n", - " 116.80302984, 84.22615749, 86.47614121, 88.30698956,\n", - " 80.64608671, 42.12440636, 112.40643649, 87.77405123,\n", - " 71.66226738, 64.00916885, 79.40079899, 84.25481674,\n", - " 85.42232374, 75.40936991, 131.30163811, 94.61373244,\n", - " 91.48619051, 84.75348041, 44.20423109, 88.54101789,\n", - " 93.38570868, 86.03601227, 75.93838497, 61.07965805,\n", - " 42.8040496 , 86.6998742 , 43.17663591, 78.26691941,\n", - " 90.81982488, 90.06893319, 90.55546753, 82.56906181,\n", - " 83.31860431, 85.06810268, 85.66640315, 62.60491694,\n", - " 84.58482145, 78.6280757 , 77.39947291, 77.0034208 ,\n", - " 116.20276223, 98.818911 , 74.4228648 , 80.41304539,\n", - " 136.32611567, 83.58404522, 85.96173427, 86.01221599,\n", - " 75.90685275, 92.21736319, 79.33905897, 96.15063293,\n", - " 125.23714612, 88.66108954, 88.8618952 , 85.67683322,\n", - " 87.49669299, 84.91313449, 88.67122035, 87.95093337,\n", - " 75.76114743, 95.73462356, 75.30352762, 86.21112204,\n", - " 65.26011848, 55.01946342, 90.67944441, 84.79394392,\n", - " 85.66301102, 79.92474393, 81.55659758, 88.94822969,\n", - " 94.79231309, 80.61739303, 60.35281821, 84.24604355,\n", - " 91.88210986, 89.56447336, 100.55215216, 107.30555207,\n", - " 93.58116966, 56.56941621, 88.9573055 , 82.95710916,\n", - " 90.84025114, 116.62902463, 61.84288993, 130.96285836,\n", - " 86.73082101, 68.92252797, 67.17689226, 122.95961535,\n", - " 88.73559755, 84.61690123, 93.32131698, 85.72758311,\n", - " 41.10594877, 40.7012033 , 84.75186748, 91.04775987,\n", - " 87.20237032, 94.90856065, 100.04945363, 111.44598808,\n", - " 63.04901374, 124.04046378, 66.0108088 , 93.54278167,\n", - " 93.5663295 , 90.79540077, 85.67885127, 64.47243246,\n", - " 95.39833255, 86.13090035, 90.36025866, 92.35177126,\n", - " 97.09109842, 80.96563949, 81.0747379 , 87.69856291,\n", - " 80.19105487, 82.97804046, 66.54894906, 87.41686612,\n", - " 87.4788713 , 87.09466602, 95.87329853, 65.70000184,\n", - " 44.85897519, 69.42075252, 99.11795518, 40.55901543,\n", - " 50.78161492, 71.89781639, 87.21127189, 57.55564662,\n", - " 77.34118085, 77.34072808, 64.49118458, 84.67220321,\n", - " 82.82624723, 93.16117931, 92.56396191, 65.91032934,\n", - " 60.46385877, 95.27403162, 94.86295023, 78.0727681 ,\n", - " 49.51451429, 94.18465625, 86.1391607 , 78.69245698,\n", - " 111.67707429, 82.58275626, 86.28846208, 78.26018331,\n", - " 92.79659374, 34.16406179, 54.68774637, 90.42161021,\n", - " 66.4124907 , 90.93656586, 88.64938745, 45.07990404,\n", - " 88.64722746, 74.51858996, 91.19876928, 83.45180196,\n", - " 83.58074901, 55.53385595, 104.95954048, 38.12732039,\n", - " 60.74040164, 90.88505034, 42.99873955, 68.37185526,\n", - " 48.06077106, 71.65319169, 49.56214384, 86.3804747 ,\n", - " 111.90115895, 81.49386647, 67.40630733, 64.23614062,\n", - " 86.0078915 , 88.63126535, 79.74708928, 40.99481136,\n", - " 95.16744019, 63.45322467, 83.59567825, 103.11403622,\n", - " 90.74830043, 89.71561651, 86.49574271, 71.19421134,\n", - " 93.58266548, 89.17482075, 86.13102805, 43.57213643,\n", - " 113.28020391, 93.15615415, 83.65911425, 83.90745571,\n", - " 74.71368122, 94.35476622, 95.79156361, 88.70111004,\n", - " 68.62610245, 90.41020131, 126.48987382, 86.5745013 ,\n", - " 67.84373938, 81.21585957, 95.51246218, 100.99612596,\n", - " 48.14045237, 66.26992456, 68.7976974 , 78.02447572,\n", - " 87.92189652, 79.60678851, 86.62374362, 87.05988863,\n", - " 69.08508108, 78.47269764, 85.35527209, 86.89872068,\n", - " 109.56081243, 84.34517599, 58.10601068, 83.52556141,\n", - " 96.29484705, 41.63732299, 44.81215041, 85.23994324,\n", - " 84.0916112 , 84.04394672, 65.68622469, 62.81318633,\n", - " 75.79360344, 81.41824414, 85.70322704, 84.05418195,\n", - " 91.76198387, 67.35570595, 86.12144862, 43.67737715,\n", - " 73.12454789, 76.98715472, 77.59980043, 88.97208258,\n", - " 51.88490956, 59.41495314, 80.64894756, 45.2797633 ,\n", - " 92.31544219, 93.44242434, 92.85454046, 92.78119223,\n", - " 90.531911 , 64.4738194 , 44.59392736, 66.70970999,\n", - " 78.94729252, 103.26439578, 62.80561938, 82.00120351,\n", - " 80.77482939, 57.29173199, 82.81162533, 80.52791775,\n", - " 73.49937235, 86.76453493, 78.28047733, 74.77369563,\n", - " 129.16711556, 42.84784062, 57.21531589, 125.61320372,\n", - " 95.2449 , 77.52133028, 93.5811691 , 58.58064592,\n", - " 48.46971947, 74.16635904, 55.51468304, 63.80422425,\n", - " 89.52979451, 56.26164178, 85.74673844, 83.96754471,\n", - " 91.2392249 , 91.25352845, 110.82082309, 91.13994428,\n", - " 73.4859658 , 54.30407858, 83.27043219, 91.74980564,\n", - " 84.27091644, 77.66462878, 116.9357294 , 85.77037391,\n", - " 96.66388529, 84.65322029, 84.69391711, 85.36300194,\n", - " 87.01338896, 57.90782326, 83.19248467, 83.22541238,\n", - " 91.10704058, 89.80830358, 89.64860158, 96.48844299,\n", - " 71.55360846, 135.08773988, 89.44956459, 74.59353455,\n", - " 67.16191786, 81.99403091, 78.22278978, 55.20550041,\n", - " 94.90046269, 130.4105661 , 81.36972854, 88.85473612,\n", - " 69.8451173 , 84.41043447, 85.89607816, 53.06395009,\n", - " 92.82607385, 19.69292289, 89.39132618, 95.54191714,\n", - " 62.86484219, 85.58568022, 84.67858396, 86.4809614 ,\n", - " -1.6634491 , 55.27275625, 46.84344517, 97.06801107,\n", - " 77.31481875, -0.43105298, -0.79499404, 95.0116642 ,\n", - " 53.97687468, 52.41893999, 79.41237654, 11.80396536,\n", - " -2.8889954 , 122.48201273, 67.7751719 , 39.99 ,\n", - " 132.4174415 , 133.94120248, 1.72776122, 133.74452343,\n", - " 133.64156466, 49.95496413, 155.11266363, 96.74130991,\n", - " 96.31593578, -0.46011974, 169.38124933, 13.63955346,\n", - " 43.77569254, 163.93007463, 120.07073045, 105.65257189,\n", - " 67.77517192, 73.00335041, 132.41744112, 133.94120269,\n", - " 0. , 0. , 60.77396419, 75.335198 ,\n", - " 46.194113 , 64.28530411, 38.47042952, 42.31905477,\n", - " 26.77547469, 34.49508303, 53.88644457, 45.86251196,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 61.49115588, 60.74294591, 78.94318347, 52.51137792,\n", - " 95.34773718, 95.36392039, 96.31245758, 93.93706743,\n", - " 76.0123476 , 43.88346909, 94.03368623, 95.36802486,\n", - " 68.63784943, 88.53108244, 88.4035288 , 89.90378646,\n", - " 63.21522591, 69.37457479, 75.40928634, 86.48953088,\n", - " 90.85544257, 89.86848958, 86.12459828, 62.27397965,\n", - " 95.89697957, 94.56185267, 85.98380917, 81.97576989,\n", - " 55.43191289, 144.12868066, 82.67804801, 84.48990144,\n", - " 88.74421414, 52.84494322, 86.09850637, 58.98775804,\n", - " 78.8641342 , 69.30587879, 35.38843474, 49.88358789,\n", - " 80.37678597, 82.72459285, 85.09111135, 77.84797407,\n", - " 96.15746372, 64.88460271, 82.05883685, 75.01341102,\n", - " 96.19941581, 68.75304818, 94.24742146, 93.35694915,\n", - " 89.95655843, 96.00412313, 58.4998257 , 90.93204273,\n", - " 90.74039649, 111.33242971, 93.25122861, 57.83259823,\n", - " 79.10166159, 69.82469889, 51.44274488, 51.35729455,\n", - " 70.94030871, 77.37401258, 50.70924098, 48.25811964,\n", - " 82.39579916, 361.26964115, 69.89040296, 77.72671088,\n", - " 85.78089405, 86.31294313, 80.34096406, 72.10409573,\n", - " 23.83348132, 84.33508622, 80.59202513, 50.67593999,\n", - " 51.2819 , 99.22963158, 87.24420342, 102.61901725,\n", - " 89.68250772, 89.48123967, 83.66312561, 85.39424952,\n", - " 85.41746623, 40.46808671, 34.94962675, 62.58211307,\n", - " 68.54161365, 66.64128486, 97.62232694, 83.74369027,\n", - " 95.51020275, 95.51990867, 23.41031755, 58.54354156,\n", - " 90.59385398, 104.47650654, 66.64283521, 89.15701705,\n", - " 86.38431831, 85.93235293, 51.68248999, 87.85946993,\n", - " 91.43036339, 87.88578705, 89.33075137, 85.04290277,\n", - " 120.83048153, 58.50771816, 47.58903104, 121.69044403,\n", - " 92.35458316, 116.94931379, 110.00890301, 126.25191934,\n", - " 91.79062432, 52.59564424, 54.03067982, 60.71327007,\n", - " 64.03089664, 143.16744324, 82.77598741, 82.298413 ,\n", - " 79.0878878 , 75.54962005, 87.68686115, 80.21606581,\n", - " 88.38630414, 88.07484632, 56.20968389, 58.45215237,\n", - " 76.0544533 , 91.30891287, 94.65389533, 94.65593001,\n", - " 89.70829106, 87.55331462, 54.41777307, 60.68631281,\n", - " 85.04815793, 93.84275409, 93.69792118, 60.26050992,\n", - " 57.83296317, 112.78623241, 64.23094631, 66.90166861,\n", - " 117.50096304, 66.80606196, 97.59301231, 84.81373984,\n", - " 80.31020615, 81.12395959, 92.14360012, 41.30561127,\n", - " 42.04833585, 95.12105367, 59.88662315, 55.4499456 ,\n", - " 61.5117525 , 61.50882059, 129.1243736 , 111.35515965,\n", - " 80.19864345, 93.59566704, 79.36666588, 84.9579618 ,\n", - " 80.8111197 , 72.15999451, 60.67732247, 95.15092151,\n", - " 95.90195701, 73.04139567, 72.9487912 , 90.65759101,\n", - " 95.9454261 , 78.38111117, 86.69813921, 88.88446158,\n", - " 86.83460777, 49.63443564, 72.36949005, 67.03948046,\n", - " 73.05018318, 60.67168371, 59.47029966, 87.88113362,\n", - " 51.93745646, 90.21561751, 93.45264654, 95.72940197,\n", - " 77.74791591, 81.87674433, 65.42137067, 89.51637003,\n", - " 95.68689503, 64.88176535, 85.12828942, 86.45631608,\n", - " 133.99137575, 86.35347565, 86.24641785, 76.46624915,\n", - " 86.89828813, 94.33760945, 94.88118446, 74.54387248,\n", - " 72.40199471, 108.87052396, 76.66292704, 56.86290382,\n", - " 95.8741666 , 95.87513786, 69.66631586, 69.1532548 ,\n", - " 75.52613755, 46.52863498, 73.45479089, 92.87499469,\n", - " 75.75001634, 81.80620314, 73.08730815, 72.49177334,\n", - " 83.56868212, 79.33117554, 61.43006388, 67.32554171,\n", - " 88.72033593, 87.07605652, 92.52068808, 85.92243674,\n", - " 65.26188015, 85.68765728, 90.59717153, 97.71817683,\n", - " 95.47400309, 94.83484216, 83.23411859, 94.4911388 ,\n", - " 91.84504662, 88.99892611, 51.27534669, 40.12185619,\n", - " 49.48008669, 85.83994297, 84.40760175, 142.22252582,\n", - " 83.97749986, 80.16788978, 92.96930283, 96.06622758,\n", - " 87.2052083 , 94.36419011, 87.56875707, 59.83546772,\n", - " 61.34858255, 78.35426895, 70.06540356, 75.74180829,\n", - " 87.65083559, 43.93102168, 40.76994057, 51.38754904,\n", - " 94.92505779, 127.927395 , 73.9008247 , 79.61277914,\n", - " 89.47251506, 62.20806057, 61.99543425, 82.89559882,\n", - " 86.12231194, 78.51137864, 75.04355195, 72.09709353,\n", - " 64.3523099 , 87.57124575, 87.27751513, 85.41179234,\n", - " 89.89322094, 74.38449631, 86.29864689, 73.96934689,\n", - " 60.90365764, 59.12400788, 140.60607468, 108.50341302,\n", - " 53.58251146, 55.52577935, 103.5767311 , 91.46880117,\n", - " 68.66983032, 102.17376787, 53.94798301, 53.72378768,\n", - " 80.69697777, 85.37310546, 75.62542757, 93.55162606,\n", - " 96.03112092, 60.06110077, 62.92795405, 92.64460481,\n", - " 89.80448793, 92.14764676, 86.42459671, 93.56012237,\n", - " 65.76621186, 65.34538656, 139.61411313, 139.87428785,\n", - " 91.91492034, 56.58738611, 84.56564448, 79.8585376 ,\n", - " 61.4920477 , 86.52619057, 52.83814202, 52.55225133,\n", - " 80.27714538, 54.03721694, 85.28018504, 99.65493665,\n", - " 90.4267974 , 91.60594894, 91.61218931, 108.88209399,\n", - " 85.68652812, 86.16140415, 76.77241562, 75.0800757 ,\n", - " 117.50446043, 114.2433914 , 95.31643416, 88.4013934 ,\n", - " 99.49390693, 84.50084483, 115.11942343, 88.94141768,\n", - " 89.06688707, 88.75393974, 92.22984932, 66.80035511,\n", - " 67.80982475, 43.84313005, 90.77362583, 93.5913479 ,\n", - " 49.85738242, 86.24752572, 87.72455195, 89.81432121,\n", - " 118.6396417 , 113.78530811, 94.58220304, 84.00820229,\n", - " 89.23879638, 87.54531589, 93.70219597, 92.27675188,\n", - " 95.12213424, 110.06299629, 120.43751862, 92.29834669,\n", - " 92.51561578, 94.20910863, 93.46144944, 91.68360047,\n", - " 86.7236317 , 93.81090317, 79.90224611, 71.36220721,\n", - " 89.91364364, 81.38467673, 66.11278713, 122.28316674,\n", - " 83.90877014, 79.73034289, 82.34113485, 95.08059173,\n", - " 62.23477228, 45.26964375, 19.33601968, 67.97275147,\n", - " 77.88924349, 104.20105267, 89.18849255, 89.7889093 ,\n", - " 77.30238348, 41.16017518, 63.45089365, 93.92818658,\n", - " 84.78760637, 71.56567895, 110.75375678, 86.68726078,\n", - " 94.18210996, 92.64857459, 52.93177022, 92.52339712,\n", - " 79.03956334, 101.68544568, 93.65985556, 95.95490453,\n", - " 85.94774411, 86.29129692, 86.25807724, 59.99947905,\n", - " 55.32766811, 64.13541679, 76.26774346, 67.97535497,\n", - " 90.87441754, 89.6304734 , 49.55664853, 55.63659267,\n", - " 82.53864251, 92.199227 , 85.84526673, 87.0858113 ,\n", - " 87.10037109, 90.98821832, 84.15465695, 91.02534808,\n", - " 90.24534019, 88.25857269, 79.70520776, 51.84882024,\n", - " 93.26924247, 56.45528873, 41.05358962, 94.34035438,\n", - " 72.99205434, 69.31218187, 63.06151904, 49.57113636,\n", - " 121.25493381, 123.23060717, 92.32967056, 86.221219 ,\n", - " 85.36310075, 91.18358346, 79.78768956, 91.4820265 ,\n", - " 89.40789882, 88.82799136, 83.78160455, 110.49897045,\n", - " 35.29835232, 36.61916406, 66.10401674, 95.04423083,\n", - " 78.20436768, 37.13979904, 50.47637842, 62.51924325,\n", - " 92.01615592, 85.32910124, 50.0101232 , 3.00153252,\n", - " 92.41357865, 83.05989123, 95.93469105, 83.1640382 ,\n", - " 86.692552 , 91.02560429, 86.26362373, 94.11767362,\n", - " 59.95098959, 49.34279239, 93.71660168, 87.82765397,\n", - " 95.98128008, 131.66450764, 77.80718769, 85.59376119,\n", - " 47.37335177, 34.42451764, 95.28935291, 89.540791 ,\n", - " 93.26846731, 93.75489304, 69.94737182, 62.30806479,\n", - " 84.63111957, 71.42923447, 72.11446411, 113.50559457,\n", - " 64.03296542, 62.17683588, 71.14677885, 36.99073333,\n", - " 37.20209763, 88.68486471, 83.8687439 , 96.32969286,\n", - " 89.47112814, 39.83373493, 40.09029222, 64.3668956 ,\n", - " 95.85192099, 94.21669207, 43.1675614 , 86.65906173,\n", - " 95.43270121, 87.69309793, 73.50135526, 72.71357935,\n", - " 88.50065991, 94.41982668, 94.81295337, 94.23915501,\n", - " 93.90024533, 52.93287728, 89.05935382, 95.74102482,\n", - " 80.44300608, 110.52561701, 66.09363902, 90.4448727 ,\n", - " 91.52203449, 63.42239482, 90.41710696, 94.54222798,\n", - " 63.97893839, 87.57402463, 126.33865084, 119.47715253,\n", - " 119.48114258, 98.52047381, 52.25366539, 51.28492777,\n", - " 80.06063362, 93.55759899, 94.58110459, 93.33124036,\n", - " 104.40258363, 94.65394213, 92.50775203, 59.38684514,\n", - " 113.17042807, 83.45923895, 85.8393602 , 87.17683639,\n", - " 77.36090395, 37.95991615, 110.93774966, 86.08225604,\n", - " 66.71194266, 60.09349905, 78.0510162 , 83.54182157,\n", - " 84.7093378 , 70.41071253, 130.07741741, 93.97260169,\n", - " 90.73603616, 83.06065162, 43.43466509, 87.18862903,\n", - " 92.6585847 , 85.30879252, 74.29698048, 56.91628487,\n", - " 38.62657983, 85.98736096, 40.14128143, 74.66449947,\n", - " 89.68704029, 88.94652595, 89.49265944, 81.43193419,\n", - " 82.18083578, 83.66351965, 84.26182009, 58.71353797,\n", - " 83.15546217, 77.19870314, 75.66073297, 75.87057713,\n", - " 115.86788058, 98.46376991, 72.62974445, 78.82100239,\n", - " 136.23327307, 82.8534506 , 85.23421477, 82.68241328,\n", - " 72.49842429, 91.49522756, 77.60870262, 95.42881761,\n", - " 124.91596067, 88.11890318, 87.81287086, 84.91447442,\n", - " 86.73433415, 84.15770371, 88.10840434, 87.3881154 ,\n", - " 73.96801214, 95.09311013, 73.51039049, 85.06719467,\n", - " 62.63540607, 52.40540616, 89.93442831, 84.03158556,\n", - " 84.90065224, 74.92465524, 80.42392791, 87.81789828,\n", - " 94.13315695, 79.48453411, 59.21995922, 83.11318828,\n", - " 91.14291826, 88.82528152, 96.91598657, 104.09961017,\n", - " 92.51786388, 54.84004666, 88.30642915, 80.98977489,\n", - " 89.66270614, 113.33424849, 60.25084682, 127.91611065,\n", - " 82.63301602, 68.21553863, 66.46990291, 118.95773131,\n", - " 88.08514354, 83.2456048 , 89.54356383, 81.9497375 ,\n", - " 36.96626198, 36.55999535, 83.16298583, 90.01405689,\n", - " 86.47513711, 94.1638084 , 99.45158323, 107.44894903,\n", - " 60.07382524, 120.20002008, 63.99894139, 92.47563307,\n", - " 92.50153676, 89.74627285, 84.95128267, 61.48793637,\n", - " 94.68589634, 85.36858458, 89.64138041, 91.52795735,\n", - " 96.36650715, 79.83287016, 80.03881534, 86.66473238,\n", - " 79.42517382, 82.21215941, 65.35523371, 86.67951878,\n", - " 86.74991473, 86.38142197, 95.16154875, 63.04273446,\n", - " 40.79480963, 68.65196009, 95.7307394 , 36.40316781,\n", - " 45.83089085, 67.04091615, 86.46047951, 52.698427 ,\n", - " 75.5932227 , 75.59269832, 61.50965392, 83.92421765,\n", - " 82.07035601, 92.09183901, 91.49462162, 65.1974496 ,\n", - " 59.75096223, 94.52851838, 94.13727107, 76.93975412,\n", - " 45.66202588, 93.46324106, 85.00775309, 77.55959794,\n", - " 110.17423139, 81.46155873, 85.24235091, 76.88669574,\n", - " 91.74746548, 31.72075139, 51.88549796, 86.6453888 ,\n", - " 65.06269934, 90.25292168, 87.97994742, 43.33191658,\n", - " 87.59792045, 73.14510167, 87.16230945, 82.08646144,\n", - " 82.85210588, 52.87654462, 100.95764755, 36.94992731,\n", - " 59.99471813, 89.55402698, 38.69987859, 64.5891062 ,\n", - " 44.77354177, 70.06121708, 47.97015805, 85.25647586,\n", - " 107.71600314, 80.88460234, 66.69925358, 60.45328939,\n", - " 85.27204459, 85.41970997, 78.55291415, 36.0176383 ,\n", - " 94.42273001, 62.74617091, 82.44784704, 102.33753575,\n", - " 89.69917241, 88.66648848, 85.78250513, 69.82060429,\n", - " 92.51950997, 88.41246194, 84.97999717, 42.82641694,\n", - " 112.94844107, 91.19308204, 82.8965408 , 83.14463146,\n", - " 74.09516773, 93.67122684, 94.39645126, 88.13829961,\n", - " 66.76793849, 89.36034773, 122.77870392, 85.86299517,\n", - " 67.09805419, 80.14230078, 94.82912495, 100.64936701,\n", - " 46.33017454, 64.36729238, 67.2592414 , 77.26730145,\n", - " 87.16084537, 77.67476523, 85.59694873, 86.34758105,\n", - " 65.00797982, 77.2899498 , 81.58443996, 86.19221589,\n", - " 109.07473135, 83.58234498, 56.91008192, 82.77757585,\n", - " 95.53897638, 40.88014789, 40.7539006 , 84.47688657,\n", - " 83.35563393, 83.28111585, 64.94053542, 60.18847385,\n", - " 75.21932312, 80.65237649, 84.99130648, 82.93311753,\n", - " 90.73518828, 66.58840496, 85.35839193, 41.86708584,\n", - " 69.34178486, 75.86593525, 76.18082746, 88.01633229,\n", - " 50.67752458, 58.60003261, 79.5730862 , 43.63835824,\n", - " 91.60555531, 92.3549035 , 92.12451009, 92.16707664,\n", - " 89.40787616, 61.48954264, 40.71601637, 64.08498856,\n", - " 77.87143128, 98.72072018, 60.12221397, 80.69240614,\n", - " 79.73897193, 54.80438322, 81.77541223, 79.49170466,\n", - " 71.70625196, 85.80351023, 77.31945258, 66.69222093,\n", - " 125.89867095, 41.03655833, 54.52899882, 122.61014838,\n", - " 91.39138153, 75.72819313, 92.51786322, 55.955923 ,\n", - " 47.76272877, 66.08477103, 53.06693738, 62.4080556 ,\n", - " 88.87048048, 55.30399713, 84.77327623, 83.32441671,\n", - " 90.48510434, 90.03033383, 107.10785591, 89.96888303,\n", - " 71.69286319, 51.8089516 , 82.51479726, 90.84949663,\n", - " 83.14950333, 76.52506764, 115.47666219, 85.12063428,\n", - " 92.59064155, 83.53137043, 83.98178362, 84.64677446,\n", - " 85.97973741, 55.27970256, 82.12967617, 82.1626034 ,\n", - " 89.95325519, 88.50593951, 88.99501905, 95.73255457,\n", - " 70.98609735, 134.97223656, 88.41580177, 73.80761691,\n", - " 66.37495843, 80.92870141, 74.43978546, 54.42783065,\n", - " 94.23346471, 130.29506221, 80.33380598, 87.95025644,\n", - " 69.08198835, 83.64810421, 85.1332458 , 50.4485587 ,\n", - " 92.16912043, 17.1861956 , 88.64320511, 94.85858244,\n", - " 62.83330319, 84.37786988, 83.91205884, 85.71853059,\n", - " -1.6634491 , 53.23321321, 44.97077441, 90.55176607,\n", - " 75.57854447, -0.43109814, -0.79503967, 94.05661649,\n", - " 52.01147346, 47.77853027, 76.99854012, 8.71601279,\n", - " -5.32977792, 121.02294552, 63.81814885, 39.99 ,\n", - " 129.48422878, 130.77310143, 1.72776122, 130.59977144,\n", - " 130.73580033, 44.90496296, 154.62804502, 96.02118122,\n", - " 95.59157576, -0.4603436 , 169.05868107, 9.66966418,\n", - " 41.57469668, 162.50709831, 120.03384606, 101.53213723,\n", - " 63.81814888, 72.78101973, 129.48422839, 130.77310165,\n", - " 0. , 0. , 60.79653697, 75.29337774,\n", - " 46.194113 , 64.28530411, 38.42927879, 42.31905477,\n", - " 26.77547469, 34.46572476, 53.88644457, 45.62089957,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 59.38677417, 56.85409351, 77.20271988, 50.76700334,\n", - " 93.95624634, 93.96808174, 94.91674982, 92.56232531,\n", - " 74.60266217, 42.47327233, 92.62353354, 93.95836437,\n", - " 65.91381453, 87.15431399, 87.01255262, 88.51281026,\n", - " 60.95420688, 67.45548738, 74.0131716 , 85.093428 ,\n", - " 89.48058598, 88.49401784, 84.73352087, 60.37248611,\n", - " 94.48805927, 93.15468259, 84.59269739, 80.43796478,\n", - " 53.8831252 , 143.73190449, 80.06234445, 82.96770663,\n", - " 87.22202734, 51.43739174, 84.57564069, 57.58020703,\n", - " 77.4430529 , 67.88473564, 33.98088189, 48.47603579,\n", - " 78.71139461, 81.05918179, 83.56491676, 76.21526669,\n", - " 94.76540141, 64.66367131, 80.41990477, 75.07199744,\n", - " 94.80713917, 64.85765997, 92.87147315, 91.97751463,\n", - " 88.56467603, 94.61208314, 56.83389077, 89.26766164,\n", - " 89.07593596, 110.36306035, 92.99272787, 56.86254488,\n", - " 77.57655332, 68.1320011 , 49.27985699, 49.19281502,\n", - " 69.53276124, 75.966143 , 48.7879595 , 46.32815026,\n", - " 80.98827857, 359.75414396, 68.48286219, 76.3191561 ,\n", - " 84.35960839, 84.89165747, 78.81847212, 70.4648185 ,\n", - " 22.19416829, 82.8357269 , 79.08155659, 48.5126392 ,\n", - " 50.8863569 , 98.00348786, 86.01803639, 102.67751244,\n", - " 88.1664986 , 87.97275409, 82.25560847, 83.91126565,\n", - " 83.93288692, 39.06053313, 33.54207357, 60.68044533,\n", - " 67.13407208, 65.23373771, 96.40633117, 82.52768199,\n", - " 94.11816267, 94.12786859, 21.52237726, 56.65565794,\n", - " 88.24872275, 102.71053113, 63.95236784, 87.39081095,\n", - " 84.97240373, 84.52035079, 49.51891421, 86.38014605,\n", - " 90.00129062, 86.45709176, 87.86285171, 83.5749262 ,\n", - " 119.28101627, 55.67904309, 44.76192409, 120.02542505,\n", - " 90.8866889 , 116.94389351, 110.00344256, 124.82270393,\n", - " 90.12550286, 49.90955628, 51.33596166, 57.93558825,\n", - " 61.25859103, 142.78590089, 81.81630964, 81.33855864,\n", - " 76.17601451, 72.5601373 , 86.02277122, 78.55072267,\n", - " 86.90944727, 86.59748516, 54.03773446, 56.28501383,\n", - " 73.97363947, 89.64726717, 93.26213344, 93.26402027,\n", - " 89.2216144 , 87.06356534, 52.40228957, 58.54597579,\n", - " 83.56304325, 92.43587389, 92.29147078, 58.1796944 ,\n", - " 55.92865926, 112.29054063, 62.32788118, 65.38363996,\n", - " 115.89157285, 62.4267328 , 95.75811838, 83.34520684,\n", - " 78.86112639, 79.67786846, 90.73638095, 39.8599206 ,\n", - " 40.59315849, 93.72874852, 57.87230484, 53.42848192,\n", - " 59.36831751, 59.36521192, 128.62207841, 110.84917625,\n", - " 78.74873505, 92.1884474 , 77.83926305, 83.43055854,\n", - " 79.35847595, 70.75244085, 59.26975565, 93.75739113,\n", - " 94.50976852, 71.6338537 , 71.5412462 , 89.06166556,\n", - " 94.53819974, 76.85091968, 85.16890734, 87.36443368,\n", - " 85.3143639 , 48.19566855, 70.59234539, 65.26185918,\n", - " 71.45679402, 59.07829543, 58.07746347, 86.48453062,\n", - " 50.54743551, 88.79446177, 92.03164084, 94.35460787,\n", - " 76.18493523, 80.31376361, 61.55552442, 88.12450717,\n", - " 94.29474765, 60.50394995, 83.7273363 , 84.93227879,\n", - " 134.00006136, 84.94202988, 84.83484362, 74.83370165,\n", - " 85.26607558, 92.94549873, 93.48907613, 71.47428085,\n", - " 69.37973866, 106.52148495, 74.15901981, 54.17057439,\n", - " 94.46395925, 94.46496429, 66.56479425, 66.05800107,\n", - " 73.83004155, 44.83076372, 72.04724032, 91.32421202,\n", - " 73.97279504, 79.86959582, 71.67975498, 71.08421974,\n", - " 82.16117727, 77.80097956, 59.52122276, 65.44315144,\n", - " 86.96703317, 85.32498219, 90.99578362, 84.54371903,\n", - " 63.5144624 , 84.31251134, 89.18700664, 95.89944525,\n", - " 94.08025353, 93.47717269, 81.87629871, 93.11630222,\n", - " 90.47970316, 87.24177438, 49.53095673, 38.37407131,\n", - " 47.73569349, 84.50056321, 83.04959478, 141.82574818,\n", - " 81.89235232, 78.44247182, 91.57792229, 94.67379522,\n", - " 85.84485727, 92.95709775, 86.20844258, 58.28303594,\n", - " 59.7961321 , 75.73638054, 67.44729125, 74.3288056 ,\n", - " 86.24022515, 42.18502627, 38.87269391, 49.48946123,\n", - " 93.54087142, 127.53086118, 72.510837 , 78.22279266,\n", - " 87.9524605 , 60.04186783, 59.82923345, 81.41025134,\n", - " 84.71070891, 76.97999883, 72.13029769, 69.17810903,\n", - " 62.75892178, 86.05666964, 85.76295779, 83.9238904 ,\n", - " 88.40150352, 73.02674634, 84.88675665, 72.61147857,\n", - " 59.49610791, 57.71645815, 140.19635488, 108.06477583,\n", - " 52.19252318, 54.13579131, 100.97962008, 88.85619613,\n", - " 67.18444378, 100.03537974, 52.46195457, 51.59778708,\n", - " 79.12078114, 83.79690868, 73.74211224, 92.1939567 ,\n", - " 94.67345288, 58.04697424, 60.91061448, 91.25338955,\n", - " 87.46442222, 90.75651671, 85.02849704, 92.16799955,\n", - " 64.37620292, 63.95537736, 139.54250164, 139.80156692,\n", - " 90.52415428, 55.10199934, 83.04096595, 78.46855056,\n", - " 59.34744542, 85.11418843, 50.86790178, 50.61430513,\n", - " 78.61176537, 51.87978364, 83.86820313, 99.14955206,\n", - " 89.03631038, 90.21518553, 90.22142581, 107.13516498,\n", - " 84.29657814, 84.77070059, 75.36486111, 73.67252119,\n", - " 115.89365518, 112.63251113, 93.92426098, 86.98939205,\n", - " 97.74956584, 82.75560186, 113.36445628, 87.18510988,\n", - " 87.68954757, 87.3769248 , 90.84445626, 63.80967456,\n", - " 66.17050341, 42.20380841, 89.30879996, 92.22566144,\n", - " 46.8349305 , 84.87292417, 86.35512216, 88.42244436,\n", - " 116.92123139, 112.10232072, 93.20128478, 82.61824056,\n", - " 87.86125878, 86.16893388, 92.32605 , 90.8856584 ,\n", - " 93.7308302 , 107.5303576 , 117.90173679, 90.77053739,\n", - " 90.99009044, 92.81273569, 92.06511434, 90.29250472,\n", - " 85.3477558 , 92.40342117, 78.30885873, 69.72290477,\n", - " 88.50625411, 79.97713474, 63.36141464, 119.53151511,\n", - " 82.38867863, 76.81831566, 80.60146262, 93.7048525 ,\n", - " 59.44276829, 42.4551439 , 17.69669751, 65.18261678,\n", - " 75.30111095, 101.47309626, 87.73262301, 88.33474958,\n", - " 75.32284015, 39.40778448, 61.46805874, 92.52097237,\n", - " 83.38039039, 70.59879527, 109.78381813, 85.11106398,\n", - " 92.77193506, 91.23839969, 51.52124882, 90.99814142,\n", - " 77.49094466, 101.10001984, 92.29466267, 94.55938384,\n", - " 84.25411501, 84.91103381, 84.87781861, 56.92590199,\n", - " 53.92010114, 59.75702448, 74.78236961, 66.42362908,\n", - " 89.37490253, 88.13107231, 47.75222399, 53.86538512,\n", - " 81.12575499, 90.80348391, 84.32375829, 85.70548758,\n", - " 85.72009336, 89.57805984, 82.76361113, 89.63806299,\n", - " 88.85999105, 85.91808163, 78.06621743, 50.20982948,\n", - " 91.87309132, 53.62661264, 38.37853311, 92.9489703 ,\n", - " 71.21509441, 67.92111568, 61.05837274, 47.76036766,\n", - " 121.25775073, 123.23462272, 91.83944661, 84.81255748,\n", - " 83.95467421, 89.65833681, 78.23160088, 89.95677902,\n", - " 87.88565111, 87.30574235, 82.40766546, 110.08924865,\n", - " 33.54756707, 34.86767451, 64.17760048, 93.66331257,\n", - " 76.64824818, 35.39447979, 48.90717348, 60.35335517,\n", - " 90.48832203, 83.83843054, 48.02598876, 1.01739786,\n", - " 91.01762512, 81.66282606, 94.54295718, 81.76331243,\n", - " 85.26394482, 89.63503651, 84.87375514, 92.70750007,\n", - " 57.12404925, 46.52145958, 92.34161957, 86.45871047,\n", - " 94.58956998, 130.97731206, 76.03387666, 83.82045011,\n", - " 44.78299107, 31.83341195, 93.89717973, 88.05770646,\n", - " 91.87246291, 92.35889139, 67.14627892, 58.41734349,\n", - " 83.2715404 , 68.63150185, 69.31654208, 113.01000149,\n", - " 62.04420287, 60.18725952, 69.40512384, 34.17036451,\n", - " 34.37884886, 87.28869819, 82.45674344, 94.93436636,\n", - " 87.95105173, 38.4261813 , 38.68273863, 62.95934593,\n", - " 94.46067753, 92.82556337, 41.27895238, 85.15941087,\n", - " 94.0413602 , 86.19344761, 72.0017718 , 71.30602573,\n", - " 87.09343647, 93.01089977, 93.40401005, 92.83904709,\n", - " 92.49399646, 50.7666559 , 86.33038686, 94.34984067,\n", - " 79.02988648, 109.83816417, 64.40093096, 89.0483809 ,\n", - " 90.12141333, 61.49828738, 89.00795844, 93.17732912,\n", - " 61.99065103, 86.19721034, 124.05527568, 119.47171999,\n", - " 117.75319586, 96.78749368, 50.27140481, 49.30216357,\n", - " 78.54518489, 92.16621726, 93.18935643, 91.93985884,\n", - " 102.27417316, 93.26219618, 90.98195466, 57.69413689,\n", - " 110.61744854, 82.04528996, 84.46469656, 85.65191121,\n", - " 74.89885799, 35.12682009, 110.30057353, 84.34316958,\n", - " 63.66753303, 57.37970422, 76.41846449, 82.15072584,\n", - " 83.31824354, 67.34268369, 129.19553052, 92.59666974,\n", - " 89.329285 , 81.32111674, 42.0203192 , 85.55579224,\n", - " 91.26252604, 83.91239775, 72.56746787, 54.08352289,\n", - " 35.78770217, 84.59636475, 37.97437116, 72.12461405,\n", - " 88.16097351, 87.42500102, 87.96741195, 79.94632223,\n", - " 80.69494576, 82.08732282, 82.68562325, 56.04829037,\n", - " 81.57094469, 75.61417989, 73.96893973, 74.34448472,\n", - " 115.75610309, 98.34320305, 70.8521232 , 77.18166988,\n", - " 136.246541 , 81.45557545, 83.83807818, 80.20180734,\n", - " 69.9837073 , 90.10301191, 75.86004042, 94.03674092,\n", - " 124.81012514, 86.7661619 , 86.35858581, 83.50247165,\n", - " 85.32233137, 82.74896054, 86.7507004 , 86.03041061,\n", - " 72.19038442, 93.71691314, 71.73276197, 83.57932653,\n", - " 60.64664904, 50.42127175, 88.52710048, 82.61958298,\n", - " 83.48864947, 71.8136829 , 78.89791099, 86.29289578,\n", - " 92.75294446, 77.95843509, 57.69386017, 81.58709083,\n", - " 89.74098233, 87.4233455 , 94.36146091, 102.35764759,\n", - " 90.99241618, 53.06883847, 86.9283821 , 79.13916764,\n", - " 88.1630558 , 111.90484049, 58.61151426, 126.59430747,\n", - " 80.50444569, 66.82555092, 65.0799152 , 117.22155113,\n", - " 86.70719774, 81.58083102, 86.92761172, 79.33374529,\n", - " 34.14377612, 33.73684955, 81.52502484, 88.49948052,\n", - " 85.07905444, 92.75657511, 98.95078522, 105.36409538,\n", - " 57.93301743, 118.53387928, 62.159913 , 90.94872705,\n", - " 90.97552457, 88.2921131 , 83.55512253, 59.34309053,\n", - " 93.29451762, 83.95660047, 88.24950491, 90.09162896,\n", - " 94.9745123 , 78.30681 , 78.52342582, 85.15010927,\n", - " 78.01205085, 80.79903644, 63.80273267, 85.27868938,\n", - " 85.35275509, 84.99029181, 93.77031101, 61.03985377,\n", - " 38.01413709, 67.23719813, 93.91013283, 33.57367073,\n", - " 42.78630798, 63.98264168, 85.05138313, 49.64001397,\n", - " 73.89743022, 73.89687478, 59.36609462, 82.51874339,\n", - " 80.66142496, 90.56410404, 89.96688665, 63.80637967,\n", - " 58.35988501, 93.12104375, 92.74127356, 75.41358782,\n", - " 42.97593051, 92.07117455, 83.52429122, 76.03349886,\n", - " 109.52223697, 79.94051523, 83.78927948, 75.22097135,\n", - " 90.29330557, 29.82521434, 49.62447027, 84.03010122,\n", - " 63.43014392, 88.86778887, 86.59801922, 41.63611139,\n", - " 86.14351278, 71.47937697, 85.41112888, 80.52348072,\n", - " 81.45508365, 50.87364486, 99.2214635 , 35.45034288,\n", - " 58.58716547, 87.92907239, 35.80833649, 61.97098667,\n", - " 42.31060794, 68.42191423, 46.33085036, 83.73424243,\n", - " 104.92330499, 80.37886126, 65.30923793, 57.83512553,\n", - " 83.87187395, 83.67531203, 77.00021366, 32.91435668,\n", - " 93.01551188, 61.35615525, 80.91525242, 101.64956376,\n", - " 88.24501261, 87.21232868, 84.39138188, 68.15482808,\n", - " 90.99411938, 87.00045917, 83.48964234, 41.41884842,\n", - " 112.83801664, 89.99065038, 81.4844449 , 81.73242675,\n", - " 73.5854139 , 92.28582835, 93.44706434, 86.78059809,\n", - " 65.6110204 , 87.90587316, 121.16864735, 84.47218249,\n", - " 65.69050056, 78.61295799, 93.4437249 , 100.53243666,\n", - " 44.52572222, 62.48092226, 65.56652713, 75.85786161,\n", - " 85.74924233, 76.48580385, 84.15085701, 84.95662186,\n", - " 62.21381416, 75.74220691, 78.97149048, 84.8023473 ,\n", - " 108.77751021, 82.17013735, 55.35662063, 81.37210158,\n", - " 94.1287935 , 39.47070768, 37.97579456, 83.06468251,\n", - " 81.95540646, 81.86890828, 63.53298025, 58.19971679,\n", - " 74.61908245, 79.23925688, 83.60041802, 81.41213075,\n", - " 89.28909625, 65.17480972, 83.94618787, 40.06262768,\n", - " 66.72365926, 74.34488224, 75.22108883, 86.59504664,\n", - " 49.11909309, 57.16850254, 78.04289018, 41.90884539,\n", - " 90.21478951, 90.8870207 , 90.7278459 , 90.79764605,\n", - " 87.88562711, 59.34479196, 38.01894418, 62.09622763,\n", - " 76.3412353 , 96.39839428, 58.10799354, 79.07566466,\n", - " 78.22360688, 52.88310059, 80.25991503, 77.97620747,\n", - " 69.92863071, 84.31603019, 75.83197252, 62.31384842,\n", - " 124.48068664, 39.23167024, 52.51351519, 120.32640106,\n", - " 89.71956836, 73.9505646 , 90.99241548, 53.96716142,\n", - " 46.37274047, 61.70634936, 51.1651519 , 61.45821042,\n", - " 87.49054709, 53.81837692, 83.28115934, 81.94838581,\n", - " 89.07626312, 88.51087882, 105.49701961, 88.47129344,\n", - " 69.91524965, 49.88429446, 81.10596682, 89.38467075,\n", - " 81.62836631, 74.99605726, 114.49288903, 83.74312864,\n", - " 90.82350262, 82.01004395, 82.59054923, 83.25427389,\n", - " 84.46518001, 53.28946688, 80.60442851, 80.63735551,\n", - " 88.46112839, 86.89157658, 87.61632342, 94.32236494,\n", - " 69.62635649, 134.97567335, 86.9011961 , 72.38260879,\n", - " 64.94949833, 79.40250682, 71.82155519, 53.73935137,\n", - " 92.85136896, 130.29849876, 78.81841646, 86.52156081,\n", - " 67.66965146, 82.23611383, 83.72103758, 48.4638455 ,\n", - " 90.78949946, 15.26314573, 87.23744106, 93.47318241,\n", - " 62.61217711, 82.81925387, 82.49828052, 84.30652856,\n", - " -1.6634491 , 51.38284273, 43.14072847, 86.8459734 ,\n", - " 73.88936685, -0.43118812, -0.79513013, 92.63945898,\n", - " 50.21920163, 44.80258396, 74.91928057, 6.67159724,\n", - " -7.22363943, 120.03917236, 61.12442397, 39.99 ,\n", - " 127.229155 , 128.47288267, 1.72776122, 128.30912164,\n", - " 128.49198658, 41.77317919, 154.33145837, 94.6306143 ,\n", - " 94.20003933, -0.46068792, 168.66408312, 6.94015905,\n", - " 39.58243149, 161.50399318, 119.80917692, 99.3937491 ,\n", - " 61.12442399, 72.47718772, 127.22915462, 128.47288288,\n", - " 0. , 0. , 60.85871507, 75.05502272,\n", - " 46.194113 , 64.28530411, 38.06992061, 42.31905477,\n", - " 26.77547469, 34.24589102, 53.88644457, 44.33970301,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 5.82298535e+01, 5.57595891e+01, 7.60713788e+01, 4.96356622e+01,\n", - " 9.27510568e+01, 9.27646654e+01, 9.37133560e+01, 9.13373861e+01,\n", - " 7.33983521e+01, 4.12690099e+01, 9.14176866e+01, 9.27520986e+01,\n", - " 6.48912005e+01, 8.59321333e+01, 8.58073993e+01, 8.73076570e+01,\n", - " 5.97808628e+01, 6.62697378e+01, 7.28097424e+01, 8.38899988e+01,\n", - " 8.82555926e+01, 8.72687339e+01, 8.35285413e+01, 5.94073924e+01,\n", - " 9.32810276e+01, 9.19467196e+01, 8.33877769e+01, 7.92805013e+01,\n", - " 5.27256618e+01, 1.43456810e+02, 7.89212893e+01, 8.18102425e+01,\n", - " 8.60645632e+01, 5.02295376e+01, 8.33881572e+01, 5.63723529e+01,\n", - " 7.62351986e+01, 6.66768813e+01, 3.27730277e+01, 4.72681816e+01,\n", - " 7.75167719e+01, 7.98645591e+01, 8.23779575e+01, 7.50455723e+01,\n", - " 9.35639785e+01, 6.44067305e+01, 7.93501454e+01, 7.51094274e+01,\n", - " 9.36048673e+01, 6.37631555e+01, 9.16481366e+01, 9.07575254e+01,\n", - " 8.73618587e+01, 9.34104493e+01, 5.56392680e+01, 8.80730389e+01,\n", - " 8.78813132e+01, 1.09886797e+02, 9.27341819e+01, 5.63862813e+01,\n", - " 7.64191763e+01, 6.69776051e+01, 4.83038317e+01, 4.82167897e+01,\n", - " 6.83249073e+01, 7.47582891e+01, 4.78202180e+01, 4.53604087e+01,\n", - " 7.97804260e+01, 3.58565146e+02, 6.72750084e+01, 7.51113018e+01,\n", - " 8.32356197e+01, 8.37676688e+01, 7.76610087e+01, 6.93950592e+01,\n", - " 2.11244090e+01, 8.17283346e+01, 7.79771189e+01, 4.75366139e+01,\n", - " 5.04535182e+01, 9.75272244e+01, 8.55417729e+01, 1.02714942e+02,\n", - " 8.70089975e+01, 8.68152070e+01, 8.10477561e+01, 8.28002441e+01,\n", - " 8.28222015e+01, 3.78526789e+01, 3.23342193e+01, 5.97151987e+01,\n", - " 6.59262183e+01, 6.40258838e+01, 9.59300677e+01, 8.20514185e+01,\n", - " 9.29165288e+01, 9.29262347e+01, 2.05363602e+01, 5.56696409e+01,\n", - " 8.77724597e+01, 1.02710531e+02, 6.28113161e+01, 8.73908109e+01,\n", - " 8.37676966e+01, 8.33156630e+01, 4.85428889e+01, 8.52683661e+01,\n", - " 8.88431865e+01, 8.53008028e+01, 8.67487263e+01, 8.24608008e+01,\n", - " 1.19281016e+02, 5.45329347e+01, 4.36158157e+01, 1.20025425e+02,\n", - " 8.97725635e+01, 1.16970976e+02, 1.10030525e+02, 1.24822704e+02,\n", - " 9.01255029e+01, 4.87686428e+01, 5.01948574e+01, 5.67924445e+01,\n", - " 6.01154473e+01, 1.42510807e+02, 8.13600851e+01, 8.08823341e+01,\n", - " 7.50414349e+01, 7.14343984e+01, 8.48281485e+01, 7.73560999e+01,\n", - " 8.57971576e+01, 8.54852990e+01, 5.30617091e+01, 5.53089885e+01,\n", - " 7.28160620e+01, 8.84526444e+01, 9.20570157e+01, 9.20587949e+01,\n", - " 8.89537012e+01, 8.67956522e+01, 5.14262642e+01, 5.75699505e+01,\n", - " 8.24524081e+01, 9.12306827e+01, 9.10865350e+01, 5.70221169e+01,\n", - " 5.49609177e+01, 1.12019371e+02, 6.13613121e+01, 6.41950865e+01,\n", - " 1.15891573e+02, 6.13322284e+01, 9.53252797e+01, 8.22310815e+01,\n", - " 7.77433708e+01, 7.85595652e+01, 8.95284180e+01, 3.86607158e+01,\n", - " 3.93953699e+01, 9.25235117e+01, 5.68962795e+01, 5.24524566e+01,\n", - " 5.83922922e+01, 5.83891866e+01, 1.28351243e+02, 1.10579310e+02,\n", - " 7.76311333e+01, 9.09804844e+01, 7.66523550e+01, 8.22436505e+01,\n", - " 7.82413896e+01, 6.95445865e+01, 5.80619014e+01, 9.25543959e+01,\n", - " 9.33070192e+01, 7.04259993e+01, 7.03333918e+01, 8.78649294e+01,\n", - " 9.33302367e+01, 7.56645273e+01, 8.39823675e+01, 8.62069645e+01,\n", - " 8.41569000e+01, 4.69954310e+01, 6.94723714e+01, 6.41418852e+01,\n", - " 7.02813032e+01, 5.79028046e+01, 5.68707145e+01, 8.52802610e+01,\n", - " 4.93406866e+01, 8.76710114e+01, 9.09088110e+01, 9.31296686e+01,\n", - " 7.50945331e+01, 7.92233615e+01, 6.04610199e+01, 8.69215761e+01,\n", - " 9.30920838e+01, 5.94094455e+01, 8.25230068e+01, 8.37449762e+01,\n", - " 1.34025653e+02, 8.37370214e+01, 8.36299100e+01, 7.36643667e+01,\n", - " 8.40973416e+01, 9.17432126e+01, 9.22867818e+01, 7.03611778e+01,\n", - " 6.82585719e+01, 1.05380429e+02, 7.29949586e+01, 5.30065132e+01,\n", - " 9.32581202e+01, 9.32591203e+01, 6.54598544e+01, 6.49521646e+01,\n", - " 7.27679556e+01, 4.37686778e+01, 7.08393860e+01, 9.13242120e+01,\n", - " 7.28528211e+01, 7.87376591e+01, 7.04719007e+01, 6.98763654e+01,\n", - " 8.09533258e+01, 7.66145872e+01, 5.85451971e+01, 6.44571344e+01,\n", - " 8.69670332e+01, 8.53249822e+01, 8.98086072e+01, 8.33241729e+01,\n", - " 6.23907445e+01, 8.30890141e+01, 8.79812563e+01, 9.54666066e+01,\n", - " 9.28772170e+01, 9.22359612e+01, 8.06350872e+01, 9.18915444e+01,\n", - " 8.92457458e+01, 8.72417744e+01, 4.83996156e+01, 3.72503534e+01,\n", - " 4.66043524e+01, 8.32426270e+01, 8.18094448e+01, 1.41550654e+02,\n", - " 8.14160892e+01, 7.73027822e+01, 9.03723061e+01, 9.34686775e+01,\n", - " 8.46055959e+01, 9.17490955e+01, 8.49691812e+01, 5.71255725e+01,\n", - " 5.86386687e+01, 7.45953254e+01, 6.63062361e+01, 7.31244996e+01,\n", - " 8.50354761e+01, 4.10536852e+01, 3.79111425e+01, 4.85273575e+01,\n", - " 9.23229387e+01, 1.27255767e+02, 7.13040880e+01, 7.70160437e+01,\n", - " 8.67949904e+01, 5.90658425e+01, 5.88532081e+01, 8.02169742e+01,\n", - " 8.35057941e+01, 7.57937946e+01, 7.09957181e+01, 6.80435295e+01,\n", - " 6.15834310e+01, 8.48674967e+01, 8.45737814e+01, 8.28139162e+01,\n", - " 8.72915293e+01, 7.17855349e+01, 8.36820332e+01, 7.13702671e+01,\n", - " 5.82882539e+01, 5.65086041e+01, 1.39920205e+02, 1.07790116e+02,\n", - " 5.09857742e+01, 5.29290424e+01, 9.98385649e+01, 8.77151410e+01,\n", - " 6.59911666e+01, 9.95591167e+01, 5.12686774e+01, 5.04414760e+01,\n", - " 7.80339486e+01, 8.27100762e+01, 7.25551022e+01, 9.09527452e+01,\n", - " 9.34322414e+01, 5.70709489e+01, 5.99345892e+01, 9.00478047e+01,\n", - " 8.69881592e+01, 8.95508940e+01, 8.38250744e+01, 9.09656475e+01,\n", - " 6.31694540e+01, 6.27486284e+01, 1.39541977e+02, 1.39800437e+02,\n", - " 8.93181784e+01, 5.39087222e+01, 8.18835025e+01, 7.72618016e+01,\n", - " 5.83714201e+01, 8.39095006e+01, 4.97073159e+01, 4.94528379e+01,\n", - " 7.74171426e+01, 5.09037583e+01, 8.26634762e+01, 9.88808222e+01,\n", - " 8.78298343e+01, 8.90089389e+01, 8.90151814e+01, 1.07135165e+02,\n", - " 8.30898292e+01, 8.35651081e+01, 7.41570068e+01, 7.24646669e+01,\n", - " 1.15893655e+02, 1.12632511e+02, 9.27189660e+01, 8.57846651e+01,\n", - " 9.73167272e+01, 8.23227632e+01, 1.13364456e+02, 8.71851099e+01,\n", - " 8.64678433e+01, 8.61549496e+01, 8.96313847e+01, 6.26839356e+01,\n", - " 6.51007441e+01, 4.11340491e+01, 8.81111961e+01, 9.09920328e+01,\n", - " 4.57137637e+01, 8.36488080e+01, 8.51258668e+01, 8.72195928e+01,\n", - " 1.16921231e+02, 1.12102321e+02, 9.19825948e+01, 8.14114916e+01,\n", - " 8.66397202e+01, 8.49464315e+01, 9.11029493e+01, 8.96800220e+01,\n", - " 9.25262761e+01, 1.06389302e+02, 1.16760682e+02, 8.95837841e+01,\n", - " 8.98030028e+01, 9.16083433e+01, 9.08607254e+01, 8.90868676e+01,\n", - " 8.41248038e+01, 9.11955713e+01, 7.71333679e+01, 6.86531454e+01,\n", - " 8.72983434e+01, 7.87692802e+01, 6.22203629e+01, 1.18390463e+02,\n", - " 8.12312153e+01, 7.56837361e+01, 7.94692421e+01, 9.24812686e+01,\n", - " 5.82966599e+01, 4.13090355e+01, 1.66269382e+01, 6.40363515e+01,\n", - " 7.41416982e+01, 1.00332045e+02, 8.66161476e+01, 8.72179290e+01,\n", - " 7.41909035e+01, 3.82755640e+01, 6.03361220e+01, 9.13130094e+01,\n", - " 8.21724274e+01, 7.01425708e+01, 1.09327594e+02, 8.40242315e+01,\n", - " 9.15660913e+01, 9.00325559e+01, 5.03169387e+01, 8.98110151e+01,\n", - " 7.63334812e+01, 1.00667181e+02, 9.10605605e+01, 9.33560216e+01,\n", - " 8.31045290e+01, 8.36931827e+01, 8.36599646e+01, 5.58127989e+01,\n", - " 5.27122468e+01, 5.86625201e+01, 7.35890925e+01, 6.52661656e+01,\n", - " 8.82675090e+01, 8.70236788e+01, 4.65999206e+01, 5.27124455e+01,\n", - " 7.99213856e+01, 8.96000476e+01, 8.31662937e+01, 8.44876752e+01,\n", - " 8.45022515e+01, 8.83722919e+01, 8.15585706e+01, 8.84276942e+01,\n", - " 8.76472997e+01, 8.54418186e+01, 7.69964581e+01, 4.91400702e+01,\n", - " 9.06686978e+01, 5.24805042e+01, 3.72378566e+01, 9.17434302e+01,\n", - " 7.00951205e+01, 6.67160930e+01, 6.00823474e+01, 4.66967404e+01,\n", - " 1.21284833e+02, 1.23261705e+02, 9.15715334e+01, 8.36081686e+01,\n", - " 8.27502253e+01, 8.84712258e+01, 7.70741375e+01, 8.87696680e+01,\n", - " 8.67281870e+01, 8.61482783e+01, 8.11829908e+01, 1.09813099e+02,\n", - " 3.24127284e+01, 3.37328359e+01, 6.29918509e+01, 9.24446226e+01,\n", - " 7.54907848e+01, 3.42631387e+01, 4.77497100e+01, 5.93773298e+01,\n", - " 8.93015724e+01, 8.27290723e+01, 4.70499634e+01, 4.13725013e-02,\n", - " 8.98140595e+01, 8.04588141e+01, 9.33379920e+01, 8.05590019e+01,\n", - " 8.41424809e+01, 8.84288531e+01, 8.36668993e+01, 9.15016561e+01,\n", - " 5.59779409e+01, 4.53753512e+01, 9.11173977e+01, 8.52289741e+01,\n", - " 9.33848544e+01, 1.30521088e+02, 7.48972664e+01, 8.26838399e+01,\n", - " 4.36235783e+01, 3.06739992e+01, 9.26918847e+01, 8.69466849e+01,\n", - " 9.06695384e+01, 9.11559669e+01, 6.60017836e+01, 5.73228391e+01,\n", - " 8.20328921e+01, 6.74864210e+01, 6.81714612e+01, 1.12738827e+02,\n", - " 6.10681775e+01, 5.92112342e+01, 6.82702852e+01, 3.30242561e+01,\n", - " 3.32327405e+01, 8.60856039e+01, 8.12520165e+01, 9.37314419e+01,\n", - " 8.67935818e+01, 3.72183270e+01, 3.74748844e+01, 6.17514919e+01,\n", - " 9.32558508e+01, 9.16202267e+01, 4.02929353e+01, 8.40520174e+01,\n", - " 9.28360505e+01, 8.50860541e+01, 7.08943783e+01, 7.00981714e+01,\n", - " 8.58888069e+01, 9.18040641e+01, 9.21971494e+01, 9.16345096e+01,\n", - " 9.12891799e+01, 4.97906306e+01, 8.51893351e+01, 9.31444284e+01,\n", - " 7.78256012e+01, 1.09405325e+02, 6.32465350e+01, 8.78440112e+01,\n", - " 8.89168853e+01, 6.05305459e+01, 8.78027464e+01, 9.19429529e+01,\n", - " 6.10146257e+01, 8.49751443e+01, 1.22912765e+02, 1.19498802e+02,\n", - " 1.17753196e+02, 9.67874937e+01, 4.92953794e+01, 4.83261382e+01,\n", - " 7.73561786e+01, 9.09606268e+01, 9.19842484e+01, 9.07342643e+01,\n", - " 1.01797910e+02, 9.20571015e+01, 8.97949062e+01, 5.65397409e+01,\n", - " 1.09476393e+02, 8.08405985e+01, 8.32406673e+01, 8.44944478e+01,\n", - " 7.37331113e+01, 3.39805548e+01, 1.10300574e+02, 8.32109491e+01,\n", - " 6.26001980e+01, 5.62381290e+01, 7.52491295e+01, 8.09457351e+01,\n", - " 8.21132498e+01, 6.62713595e+01, 1.28719267e+02, 9.13733292e+01,\n", - " 8.81245790e+01, 8.01888962e+01, 4.08164437e+01, 8.43873082e+01,\n", - " 9.00588789e+01, 8.27084136e+01, 7.14288137e+01, 5.29374145e+01,\n", - " 3.46415938e+01, 8.33912453e+01, 3.69983458e+01, 7.09835589e+01,\n", - " 8.70035101e+01, 8.62675363e+01, 8.67803010e+01, 7.88356871e+01,\n", - " 7.95843107e+01, 8.10004903e+01, 8.15987907e+01, 5.49072352e+01,\n", - " 8.04863898e+01, 7.45296250e+01, 7.29099365e+01, 7.31870213e+01,\n", - " 1.15755579e+02, 9.83426788e+01, 6.97321492e+01, 7.61119106e+01,\n", - " 1.36273623e+02, 8.02515394e+01, 8.26345295e+01, 7.90367906e+01,\n", - " 6.88186905e+01, 8.89013780e+01, 7.47381389e+01, 9.28351070e+01,\n", - " 1.24809601e+02, 8.55204282e+01, 8.52415877e+01, 8.22977447e+01,\n", - " 8.41176044e+01, 8.15445713e+01, 8.55094889e+01, 8.47891991e+01,\n", - " 7.10704105e+01, 9.24934498e+01, 7.06127880e+01, 8.24693348e+01,\n", - " 5.96706237e+01, 4.94452464e+01, 8.73191739e+01, 8.14148560e+01,\n", - " 8.22839225e+01, 7.07102698e+01, 7.77404476e+01, 8.51354323e+01,\n", - " 9.15336110e+01, 7.68009717e+01, 5.65363967e+01, 8.04296274e+01,\n", - " 8.85364164e+01, 8.62187795e+01, 9.32204058e+01, 1.01924809e+02,\n", - " 8.98053173e+01, 5.19158988e+01, 8.57074435e+01, 7.80085040e+01,\n", - " 8.70556623e+01, 1.11904840e+02, 5.75417549e+01, 1.26594307e+02,\n", - " 8.00281826e+01, 6.56188020e+01, 6.38731662e+01, 1.17221551e+02,\n", - " 8.54861664e+01, 8.03862083e+01, 8.57865566e+01, 7.81926901e+01,\n", - " 3.29976677e+01, 3.25907412e+01, 8.04552655e+01, 8.73103076e+01,\n", - " 8.38754290e+01, 9.15486261e+01, 9.86820554e+01, 1.04887832e+02,\n", - " 5.69569921e+01, 1.18533879e+02, 6.10763179e+01, 8.97618391e+01,\n", - " 8.97885071e+01, 8.71752925e+01, 8.23515706e+01, 5.83670652e+01,\n", - " 9.20888729e+01, 8.27518735e+01, 8.70466483e+01, 8.88891512e+01,\n", - " 9.37742971e+01, 7.71493466e+01, 7.73344090e+01, 8.39609453e+01,\n", - " 7.68077683e+01, 7.95947539e+01, 6.26452692e+01, 8.40745586e+01,\n", - " 8.41487402e+01, 8.37853878e+01, 9.25644866e+01, 6.00638284e+01,\n", - " 3.68709933e+01, 6.60325067e+01, 9.34772942e+01, 3.24275623e+01,\n", - " 4.17189730e+01, 6.28732977e+01, 8.38442835e+01, 4.85306700e+01,\n", - " 7.28384269e+01, 7.28378715e+01, 5.83900693e+01, 8.13144750e+01,\n", - " 7.94570458e+01, 8.93773393e+01, 8.87801219e+01, 6.26013604e+01,\n", - " 5.71548657e+01, 9.19131944e+01, 9.15368762e+01, 7.42561244e+01,\n", - " 4.18350171e+01, 9.08693714e+01, 8.24133525e+01, 7.48760354e+01,\n", - " 1.09522237e+02, 7.87830520e+01, 8.26722571e+01, 7.40263486e+01,\n", - " 8.91764850e+01, 2.88646906e+01, 4.84511261e+01, 8.28890461e+01,\n", - " 6.22608089e+01, 8.76549751e+01, 8.53818528e+01, 4.05771081e+01,\n", - " 8.50265147e+01, 7.02847542e+01, 8.54111289e+01, 7.94330786e+01,\n", - " 8.02510735e+01, 4.98976195e+01, 9.92214635e+01, 3.43429494e+01,\n", - " 5.73793115e+01, 8.67591527e+01, 3.46622281e+01, 6.08299315e+01,\n", - " 4.11448613e+01, 6.73521549e+01, 4.52610910e+01, 8.25767783e+01,\n", - " 1.03782253e+02, 8.01101314e+01, 6.41024890e+01, 5.66940704e+01,\n", - " 8.26677678e+01, 8.32424734e+01, 7.58427502e+01, 3.18094168e+01,\n", - " 9.18075594e+01, 6.01494063e+01, 7.97577890e+01, 1.01216725e+02,\n", - " 8.71281920e+01, 8.60955081e+01, 8.31864823e+01, 6.69602053e+01,\n", - " 8.98070123e+01, 8.57957322e+01, 8.23802016e+01, 4.02109941e+01,\n", - " 1.12837492e+02, 8.95143869e+01, 8.02797179e+01, 8.05276998e+01,\n", - " 7.33166840e+01, 9.10726667e+01, 9.29908398e+01, 8.55393866e+01,\n", - " 6.51347569e+01, 8.67890525e+01, 1.21168647e+02, 8.32667655e+01,\n", - " 6.44826463e+01, 7.74264181e+01, 9.22304670e+01, 1.00531912e+02,\n", - " 4.33734189e+01, 6.12939123e+01, 6.44121311e+01, 7.46535290e+01,\n", - " 8.45443276e+01, 7.60095404e+01, 8.30325537e+01, 8.37514412e+01,\n", - " 6.10680863e+01, 7.45847435e+01, 7.78304353e+01, 8.35954914e+01,\n", - " 1.08646105e+02, 8.09654104e+01, 5.41991572e+01, 8.01678332e+01,\n", - " 9.29229509e+01, 3.82663750e+01, 3.68326508e+01, 8.18600667e+01,\n", - " 8.07512988e+01, 8.06641813e+01, 6.23251262e+01, 5.72236915e+01,\n", - " 7.41862438e+01, 7.80349716e+01, 8.23951232e+01, 8.02546675e+01,\n", - " 8.81707930e+01, 6.39706828e+01, 8.27415720e+01, 3.89103243e+01,\n", - " 6.55826041e+01, 7.31874191e+01, 7.47648643e+01, 8.54710579e+01,\n", - " 4.79616296e+01, 5.59671861e+01, 7.68564978e+01, 4.07701912e+01,\n", - " 8.90085477e+01, 8.97728944e+01, 8.95249214e+01, 8.95683907e+01,\n", - " 8.67281630e+01, 5.83687666e+01, 3.68778399e+01, 6.11202023e+01,\n", - " 7.51548429e+01, 9.59655556e+01, 5.71319682e+01, 7.79042660e+01,\n", - " 7.70345861e+01, 5.19153591e+01, 7.90709173e+01, 7.67872097e+01,\n", - " 6.88086568e+01, 8.31222533e+01, 7.46381957e+01, 6.12193440e+01,\n", - " 1.24480687e+02, 3.80793669e+01, 5.15374899e+01, 1.19183890e+02,\n", - " 8.97195684e+01, 7.28305906e+01, 8.98053166e+01, 5.29911361e+01,\n", - " 4.51659915e+01, 6.06118449e+01, 5.01999053e+01, 6.10019859e+01,\n", - " 8.62716254e+01, 5.26250998e+01, 8.20881705e+01, 8.07259408e+01,\n", - " 8.78711009e+01, 8.74034853e+01, 1.05497020e+02, 8.73631812e+01,\n", - " 6.87952757e+01, 4.89165529e+01, 7.99015771e+01, 8.81870669e+01,\n", - " 8.04709031e+01, 7.38385941e+01, 1.14016625e+02, 8.25222715e+01,\n", - " 9.08235026e+01, 8.08525806e+01, 8.13849567e+01, 8.20492801e+01,\n", - " 8.32760036e+01, 5.23134416e+01, 7.94173175e+01, 7.94502445e+01,\n", - " 8.73511542e+01, 8.57197512e+01, 8.63959793e+01, 9.31165233e+01,\n", - " 6.83851450e+01, 1.35002755e+02, 8.57120197e+01, 7.11747545e+01,\n", - " 6.37416440e+01, 7.82155476e+01, 7.06805000e+01, 5.33065127e+01,\n", - " 9.16337534e+01, 1.30325581e+02, 7.76293996e+01, 8.53652718e+01,\n", - " 6.64649245e+01, 8.10313869e+01, 8.25163106e+01, 4.74878201e+01,\n", - " 8.95697589e+01, 1.43026220e+01, 8.60328823e+01, 9.22599233e+01,\n", - " 6.23551567e+01, 8.16617904e+01, 8.12935891e+01, 8.31018371e+01,\n", - " -1.66344910e+00, 5.03000323e+01, 4.19889520e+01, 8.57495543e+01,\n", - " 7.28320324e+01, -4.31268892e-01, -7.95211212e-01, 9.15197897e+01,\n", - " 4.91655878e+01, 4.36864719e+01, 7.37616607e+01, 5.84912581e+00,\n", - " -8.18347771e+00, 1.19562909e+02, 5.99833723e+01, 3.99900000e+01,\n", - " 1.26086061e+02, 1.27420964e+02, 1.72776122e+00, 1.27256541e+02,\n", - " 1.27348661e+02, 4.06700150e+01, 1.54200053e+02, 9.34298772e+01,\n", - " 9.30002351e+01, -4.60970711e-01, 1.68387245e+02, 5.80395867e+00,\n", - " 3.84224464e+01, 1.60992032e+02, 1.19550707e+02, 9.89174861e+01,\n", - " 5.99833723e+01, 7.22202469e+01, 1.26086061e+02, 1.27420964e+02,\n", - " 0.00000000e+00, 0.00000000e+00, 6.08968017e+01, 7.47983032e+01,\n", - " 4.61941130e+01, 6.42853041e+01, 3.76387909e+01, 4.23190548e+01,\n", - " 2.67754747e+01, 3.39890661e+01, 5.38864446e+01, 4.30271978e+01,\n", - " 5.08231436e+01, 5.25980522e+01, 5.78863235e+01]), array([ 43.25438722, 42.08366782, 61.45991858, 35.02420205,\n", - " 76.88369125, 77.01704639, 77.96817789, 75.01837567,\n", - " 57.54869184, 25.41977265, 75.52073712, 76.84676234,\n", - " 52.42715459, 69.67188064, 69.97784194, 71.47809958,\n", - " 44.59992699, 50.86617215, 57.06040474, 68.14066113,\n", - " 71.93505677, 70.94185122, 67.70799742, 48.98037988,\n", - " 77.35243887, 75.99764352, 67.57029233, 72.07234982,\n", - " 45.51751024, 143.01242174, 66.85745859, 73.37919025,\n", - " 77.61511965, 34.2827631 , 67.82000418, 40.42557906,\n", - " 60.28841847, 50.73010121, 16.8262509 , 31.32140618,\n", - " 61.95380448, 64.30159167, 66.81882266, 59.78671043,\n", - " 78.00193882, 64.26569528, 67.5470143 , 75.12287238,\n", - " 77.95983863, 50.08723428, 75.36595476, 74.55192589,\n", - " 71.6861152 , 77.82981511, 40.07630065, 72.51007151,\n", - " 72.31834584, 108.76453973, 92.56747874, 55.26402426,\n", - " 67.58586511, 57.54568651, 37.73420216, 37.6471602 ,\n", - " 52.37813739, 58.81151916, 37.35871149, 34.89890225,\n", - " 63.83368813, 342.96610057, 51.32824222, 59.16452167,\n", - " 70.70688179, 71.23893087, 69.5878823 , 57.59192802,\n", - " 9.32127782, 69.42937259, 65.7170884 , 36.96698438,\n", - " 50.18403025, 96.40496688, 84.4195154 , 102.72838739,\n", - " 77.9658705 , 77.41594312, 65.1010229 , 70.45341248,\n", - " 70.47980525, 21.90589976, 16.38744174, 49.2861944 ,\n", - " 49.97945163, 48.07911387, 94.8078102 , 80.92916102,\n", - " 77.33589464, 77.34560056, 9.83529759, 44.96857827,\n", - " 86.65019961, 102.71053113, 50.74750237, 87.39081095,\n", - " 67.90221427, 67.45062064, 37.97325939, 72.911528 ,\n", - " 75.530174 , 72.03119587, 74.36093872, 70.07301321,\n", - " 119.28101627, 39.83245823, 28.91533923, 120.02542505,\n", - " 77.38477591, 116.91615582, 109.97570488, 124.82270393,\n", - " 90.12550286, 34.14965402, 35.57314075, 42.14188959,\n", - " 45.46489238, 142.06641814, 80.6340578 , 80.1563068 ,\n", - " 60.5663225 , 57.13255497, 69.2651811 , 61.79313255,\n", - " 73.4335938 , 73.12310018, 42.49207964, 44.739359 ,\n", - " 57.82598913, 72.88967704, 76.16887138, 76.16546179,\n", - " 88.63612377, 86.47807471, 40.85663475, 47.00032097,\n", - " 70.11067902, 75.36095163, 75.22407254, 42.03204406,\n", - " 44.49941125, 111.65218463, 50.91507885, 48.60414207,\n", - " 115.89157285, 47.65630711, 95.05579173, 69.84329384,\n", - " 65.30766471, 66.11662701, 73.57934188, 22.89404197,\n", - " 23.65268639, 76.63007852, 46.32665002, 41.8828271 ,\n", - " 47.82266268, 47.8195571 , 127.98935383, 110.23254096,\n", - " 65.1974584 , 75.03140833, 61.0914098 , 66.68270528,\n", - " 65.81451781, 53.59780666, 42.11512146, 76.84953007,\n", - " 77.62674189, 54.47921714, 54.38661025, 72.2639487 ,\n", - " 77.38116067, 60.11351801, 68.42908753, 77.3975533 ,\n", - " 75.39671632, 31.21126031, 55.02615024, 49.69566404,\n", - " 54.92148754, 42.54298896, 40.96650947, 69.44785545,\n", - " 33.43648151, 75.1543683 , 78.40609884, 76.81065823,\n", - " 63.01944291, 67.14827129, 46.78509734, 71.23708378,\n", - " 77.42115621, 45.73352427, 66.69001211, 68.17988681,\n", - " 133.9563867 , 67.86420903, 67.75894403, 58.4122235 ,\n", - " 68.85637774, 76.10507516, 76.64775846, 56.30680289,\n", - " 54.04629434, 93.31659153, 57.98041662, 37.9919712 ,\n", - " 77.36130623, 77.36222169, 51.56510041, 51.04000026,\n", - " 59.12211361, 30.12283579, 54.8926055 , 91.32421202,\n", - " 58.4065999 , 64.83805415, 54.52512069, 53.92958559,\n", - " 65.00661337, 61.06357789, 47.97556356, 53.75607177,\n", - " 86.96703317, 85.32498219, 74.24552206, 67.1213014 ,\n", - " 48.04861316, 66.79577336, 72.09014102, 95.19711859,\n", - " 77.16828685, 75.54278241, 63.94190843, 75.57900021,\n", - " 72.72066389, 87.24177438, 33.78815543, 22.90822207,\n", - " 31.9928922 , 66.15416935, 65.13210719, 141.10626543,\n", - " 80.29382939, 62.59651548, 74.46824071, 77.58053316,\n", - " 67.96657311, 75.79915153, 68.33015841, 49.91742098,\n", - " 51.43051714, 62.53149467, 54.24240539, 57.26870898,\n", - " 69.17122824, 26.44222498, 27.53024951, 38.13928313,\n", - " 76.15658624, 126.81137843, 55.399883 , 61.11183866,\n", - " 77.98854612, 48.496213 , 48.28357862, 64.55071641,\n", - " 67.63528596, 60.24568005, 56.52060567, 53.56841702,\n", - " 46.2236153 , 69.26526103, 68.97148233, 70.48090249,\n", - " 74.95851561, 55.09235606, 67.81615473, 54.67708829,\n", - " 42.34148174, 40.56183197, 139.47449985, 107.3679206 ,\n", - " 35.08156918, 37.02483731, 87.77473422, 75.65131027,\n", - " 50.32490885, 98.4368566 , 35.60241964, 35.47956629,\n", - " 66.00589146, 70.682019 , 57.12890415, 74.25956642,\n", - " 76.7390626 , 46.50131942, 49.36495966, 74.16489816,\n", - " 85.86589909, 73.66702006, 68.07634955, 75.32116787,\n", - " 47.26524892, 46.84442336, 139.21955976, 139.47174352,\n", - " 73.42697046, 38.24246441, 74.67535099, 61.35759656,\n", - " 47.8017906 , 68.04445828, 34.65022515, 34.3762242 ,\n", - " 61.85417525, 40.33412882, 66.79765996, 98.549994 ,\n", - " 71.91469109, 73.092434 , 73.10518052, 107.13516498,\n", - " 67.18562414, 67.71430037, 58.21022674, 56.51788681,\n", - " 115.89365518, 112.63251113, 76.82282484, 69.91884888,\n", - " 97.04723918, 82.05327521, 113.36445628, 87.18510988,\n", - " 70.22018334, 69.90013051, 73.57329383, 48.38209224,\n", - " 53.29761294, 29.33091794, 72.35515376, 74.47419458,\n", - " 31.50148617, 67.34041619, 68.70060798, 71.5411567 ,\n", - " 116.92123139, 112.10232072, 75.80929845, 65.50728656,\n", - " 70.39643379, 68.67766461, 74.826056 , 73.79587531,\n", - " 76.72990413, 94.32547174, 104.69685093, 74.0272184 ,\n", - " 74.24128626, 75.76568369, 75.01827659, 73.20262292,\n", - " 67.84477239, 75.24889702, 61.77355225, 56.8500143 ,\n", - " 71.35037189, 62.82249565, 50.15654917, 106.32664964,\n", - " 72.41269776, 61.20862364, 64.848643 , 76.19406052,\n", - " 43.59618343, 26.60855904, 4.82380704, 49.33327917,\n", - " 59.20932285, 88.26823079, 74.19734152, 74.79456739,\n", - " 60.29129848, 23.65496485, 46.43651707, 75.3639333 ,\n", - " 66.22335132, 69.41654343, 108.6015663 , 71.9961743 ,\n", - " 75.66919599, 74.13566062, 34.46727849, 74.24870265,\n", - " 69.1253297 , 100.39769319, 74.53211845, 77.61426807,\n", - " 68.18421463, 67.52925807, 67.49595222, 41.75842403,\n", - " 36.76546695, 44.9865988 , 57.92283468, 58.05801412,\n", - " 75.96853052, 74.72470027, 36.7477567 , 42.98806593,\n", - " 64.06396406, 73.85155595, 74.57660749, 68.32494901,\n", - " 68.33861481, 72.47977827, 65.73446482, 72.42741747,\n", - " 71.59792079, 84.3195585 , 65.19332696, 37.33693901,\n", - " 74.82567019, 37.78002778, 22.62225327, 75.86096024,\n", - " 55.64889927, 50.89248175, 49.51271791, 33.11914066,\n", - " 121.23001305, 123.20688503, 91.25395598, 67.75823366,\n", - " 66.89867755, 72.90945978, 74.54489651, 73.20790198,\n", - " 78.28585981, 77.70595106, 64.86148826, 109.36739362,\n", - " 17.72859314, 19.04870058, 47.58828525, 76.27132623,\n", - " 72.96154381, 19.65167849, 40.54155852, 48.80770034,\n", - " 73.74506269, 70.40418293, 36.48033364, -10.52825726,\n", - " 74.05289944, 64.65367221, 77.46221137, 64.72766898,\n", - " 71.65780598, 72.53338876, 67.75841271, 75.60475745,\n", - " 41.27746439, 30.67487472, 74.81434852, 68.79275423,\n", - " 77.53004495, 129.79506022, 60.37894303, 68.16551648,\n", - " 28.69120298, 15.74162386, 76.79574359, 74.59985329,\n", - " 74.96877805, 75.45520654, 51.33216155, 43.64691781,\n", - " 65.39025846, 52.80571959, 53.49075981, 112.37156944,\n", - " 50.49854805, 48.64160469, 53.58614991, 18.32377965,\n", - " 18.532264 , 70.37024127, 65.38620027, 78.0306815 ,\n", - " 77.98882246, 21.27154752, 21.52810515, 45.80471976,\n", - " 77.43356868, 75.75012933, 29.59187271, 71.75303891,\n", - " 76.96539652, 72.78707565, 58.59539985, 54.15139152,\n", - " 70.03368601, 75.88755977, 76.2798199 , 75.78615531,\n", - " 75.43010839, 39.22100107, 73.12552139, 77.27043959,\n", - " 61.97019117, 109.13583752, 53.81461637, 72.00304537,\n", - " 73.06871598, 50.06903937, 71.92888127, 75.4080006 ,\n", - " 50.44499614, 68.71595842, 111.14045642, 119.44398231,\n", - " 117.75319586, 96.78749368, 38.72574959, 37.75650837,\n", - " 61.75697609, 75.06644293, 76.09656917, 74.83906757,\n", - " 100.67565009, 76.17039854, 74.23379321, 47.1078223 ,\n", - " 97.41256268, 64.97550436, 66.93526023, 77.68819412,\n", - " 58.68839699, 19.27748249, 110.30057353, 68.59034996,\n", - " 49.48187687, 41.60967297, 59.99698634, 65.12313029,\n", - " 66.29049099, 53.08514227, 127.59701 , 75.09127457,\n", - " 72.26783211, 65.56829712, 24.97064259, 69.15042107,\n", - " 74.2896341 , 66.90621307, 56.68357549, 38.23693803,\n", - " 19.94111731, 67.56342295, 26.42871633, 58.91972819,\n", - " 82.43768977, 77.67721187, 71.21853492, 66.49395799,\n", - " 67.24258153, 68.97243315, 69.57073358, 42.84340451,\n", - " 68.48833953, 62.53157473, 59.29638694, 68.62120098,\n", - " 115.43316121, 98.02026118, 55.28592806, 64.30877941,\n", - " 136.21880331, 64.4434919 , 66.87398725, 64.00515103,\n", - " 53.78705099, 73.32074388, 60.46004943, 77.25447289,\n", - " 124.48718327, 68.72062902, 72.81590833, 66.43192848,\n", - " 68.2517882 , 65.69440886, 68.81631012, 68.09602033,\n", - " 56.62418927, 76.20873047, 56.16656682, 70.1360909 ,\n", - " 49.10099421, 38.87561664, 71.37085942, 65.54903981,\n", - " 66.4181063 , 56.84513127, 73.01967268, 78.46199879,\n", - " 75.3445362 , 72.42154575, 52.15697083, 75.84185207,\n", - " 72.68641844, 70.36878161, 81.15657505, 101.65532093,\n", - " 74.2434278 , 42.19151928, 69.47578778, 63.85228963,\n", - " 74.75668384, 111.90484049, 45.73862379, 126.59430747,\n", - " 78.90592261, 49.71459692, 47.9689612 , 117.22155113,\n", - " 69.25224867, 64.8232409 , 73.72272586, 66.12885942,\n", - " 18.29719126, 17.89026469, 68.65213437, 71.70807191,\n", - " 68.10841813, 75.59982699, 98.35122716, 103.76557245,\n", - " 46.3873626 , 118.53387928, 47.21205898, 74.2031989 ,\n", - " 74.22787179, 74.75193082, 66.59057572, 47.79743571,\n", - " 76.17644065, 66.8860573 , 71.367774 , 73.04344793,\n", - " 78.31913262, 72.56173758, 61.73501517, 68.3588726 ,\n", - " 60.95242396, 63.73940955, 55.43711771, 68.25522408,\n", - " 68.34324449, 67.96826418, 76.64850996, 49.49419894,\n", - " 22.22043844, 50.16741253, 93.20780618, 17.72708587,\n", - " 28.60065182, 48.89097632, 67.91354542, 34.54834861,\n", - " 59.22487742, 59.22432198, 47.8204398 , 65.4778991 ,\n", - " 63.60677247, 73.82059696, 73.22337956, 46.77784601,\n", - " 41.33135136, 75.96653227, 75.69336531, 71.72688345,\n", - " 27.21602825, 75.2743322 , 70.06761504, 70.52510652,\n", - " 109.52223697, 70.19091467, 70.24623129, 58.46338123,\n", - " 76.75312338, 18.49714915, 33.27019038, 70.82521536,\n", - " 47.00866577, 71.60329391, 69.2558414 , 26.96355859,\n", - " 72.60083529, 54.72178685, 85.41112888, 67.3579884 ,\n", - " 64.44612054, 39.32799004, 99.2214635 , 22.04397093,\n", - " 41.4325393 , 71.49712628, 19.96175163, 48.76610081,\n", - " 26.10014693, 55.54902376, 33.45795989, 74.13445113,\n", - " 91.71843952, 79.7793032 , 48.19828393, 44.63023967,\n", - " 66.85126352, 82.97298538, 73.31350928, 17.91466283,\n", - " 75.85868506, 44.24520125, 75.17001367, 100.9472371 ,\n", - " 74.70483034, 73.67214641, 67.37015459, 51.39723796,\n", - " 74.24499697, 69.929916 , 70.05422404, 24.26421423,\n", - " 112.51507477, 88.39212943, 64.41390173, 64.66188358,\n", - " 72.98585584, 75.01243354, 92.2648125 , 68.84620781,\n", - " 64.01249953, 74.36569089, 121.16864735, 67.42443799,\n", - " 48.53586675, 61.87313817, 76.16786161, 100.20949478,\n", - " 33.52125494, 45.86771417, 54.98021254, 58.80366831,\n", - " 68.67381939, 74.88728293, 70.58961556, 67.92054474,\n", - " 46.37494303, 67.37659195, 65.76660462, 67.68700487,\n", - " 106.96283267, 65.09959417, 49.61138187, 64.33125729,\n", - " 77.02607551, 22.41651438, 22.1820959 , 65.99674726,\n", - " 64.93459668, 64.7983651 , 46.37835408, 46.65406197,\n", - " 73.9167558 , 62.17956157, 66.55870115, 71.66282047,\n", - " 75.7278548 , 48.1189886 , 66.87825261, 29.05816039,\n", - " 53.5187734 , 64.59528168, 74.03883699, 72.94232003,\n", - " 40.75347813, 40.16473789, 61.30548851, 26.02495301,\n", - " 73.09861109, 77.38509477, 73.82416104, 73.14313186,\n", - " 78.28583581, 47.79913714, 22.25612327, 50.5505728 ,\n", - " 59.60383364, 95.69606762, 46.56233871, 62.6163364 ,\n", - " 61.43512102, 41.45385258, 63.47187164, 61.18816408,\n", - " 54.36243556, 67.43603097, 58.9519733 , 47.54342274,\n", - " 124.48068664, 28.22720295, 40.96786036, 107.4115818 ,\n", - " 89.71956836, 58.38436946, 74.24342711, 42.4215066 ,\n", - " 29.26178647, 46.93592367, 39.77090097, 60.27595858,\n", - " 70.08564568, 36.95884199, 66.41632442, 64.45603108,\n", - " 71.99903183, 75.10450681, 105.49701961, 75.05474776,\n", - " 54.34905451, 38.45504645, 64.05117068, 72.43102455,\n", - " 71.87876575, 65.24645671, 112.8943684 , 66.28908487,\n", - " 90.82350262, 72.37697152, 65.534149 , 66.22652134,\n", - " 67.67370455, 41.74381206, 63.85555147, 63.88847848,\n", - " 75.01814048, 70.42434726, 70.17881498, 77.21966479,\n", - " 51.69196621, 134.94793567, 70.10972064, 55.22797436,\n", - " 47.7948639 , 62.65641272, 58.61666932, 53.03702471,\n", - " 75.48678921, 130.27076107, 62.03000581, 72.09566493,\n", - " 50.59910829, 65.16557066, 66.65049441, 36.91819038,\n", - " 73.36920448, 3.93508054, 70.18298017, 76.19728868,\n", - " 62.21309101, 79.1325495 , 65.42849491, 67.23674296,\n", - " -1.6634491 , 36.45366562, 32.0309697 , 72.03311268,\n", - " 59.23589963, -0.43266036, -0.79658976, 79.06119772,\n", - " 35.73118005, 29.5687594 , 58.77064491, -2.60645 ,\n", - " -18.54215108, 118.44065173, 47.9195585 , 39.99 ,\n", - " 114.43063368, 114.28832179, 1.72776122, 114.10880364,\n", - " 115.73973847, 26.81014512, 152.51678083, 77.81128785,\n", - " 77.55205683, -0.46491835, 167.93067264, -8.72210226,\n", - " 23.37871738, 159.15481624, 119.38988912, 97.79522596,\n", - " 47.91955852, 72.07921168, 114.43063329, 114.288322 ,\n", - " 0. , 0. , 60.91398887, 74.66009703,\n", - " 46.194113 , 64.28530411, 37.40645797, 42.31905477,\n", - " 26.77547469, 33.84971589, 53.88644457, 42.34070704,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 43.54965826, 43.25814794, 61.59532305, 35.16152725,\n", - " 76.81932854, 76.9527611 , 77.90376102, 74.95627586,\n", - " 57.49476606, 25.36614208, 75.46824672, 76.7942163 ,\n", - " 53.13096029, 69.60937842, 69.91214326, 71.41240091,\n", - " 44.96346557, 51.06048118, 56.99634122, 68.07659179,\n", - " 71.87306464, 70.87980335, 67.64212193, 49.26305685,\n", - " 77.30004032, 75.94473721, 67.50435682, 71.82199009,\n", - " 45.27254419, 142.96442263, 67.36568726, 73.21684608,\n", - " 77.45416124, 34.23001034, 67.82749185, 40.37282605,\n", - " 60.2423105 , 50.68402362, 16.77349887, 31.26865375,\n", - " 62.02250286, 64.37029972, 66.82810407, 59.85318018,\n", - " 77.92883341, 64.12246067, 67.63892528, 75.10782725,\n", - " 77.89148242, 51.26492422, 75.30358367, 74.48956334,\n", - " 71.61683597, 77.75733929, 40.14526598, 72.57827374,\n", - " 72.38658707, 108.79724074, 92.44581002, 55.29706118,\n", - " 67.45650279, 57.51997539, 38.13813773, 38.05187744,\n", - " 52.32538256, 58.75892251, 37.64935327, 35.19381076,\n", - " 63.7809195 , 342.96995409, 51.275484 , 59.11177066,\n", - " 70.66004291, 71.19209199, 69.39793717, 57.68400851,\n", - " 9.41337589, 69.43112848, 65.72599418, 37.37112273,\n", - " 49.97249025, 96.56377265, 84.57833262, 102.71338706,\n", - " 77.83579098, 77.28941576, 65.04825249, 70.44507312,\n", - " 70.47243884, 21.85314815, 16.33468989, 49.56885528,\n", - " 49.92669383, 48.02635887, 94.96163221, 81.08298917,\n", - " 77.26341887, 77.27312479, 10.0983405 , 45.23159335,\n", - " 87.35855238, 103.577823 , 51.292449 , 88.25821611,\n", - " 67.84996775, 67.39841488, 38.37753279, 72.90096443,\n", - " 75.43841016, 71.94199938, 74.34344577, 70.05555803,\n", - " 120.04197738, 40.47327881, 29.55538969, 120.84313599,\n", - " 77.36728031, 116.91331347, 109.97288225, 125.52460889,\n", - " 90.94326413, 34.72620948, 36.15363024, 42.76031166,\n", - " 46.08067412, 142.01093751, 80.67644542, 80.19878115,\n", - " 61.25274783, 57.86016348, 69.33324033, 61.86180725,\n", - " 73.42153189, 73.11134409, 42.90046543, 45.14538212,\n", - " 58.10979688, 72.95653588, 76.10514164, 76.10194793,\n", - " 88.62731697, 86.47077691, 41.18817823, 47.39318153,\n", - " 70.10360169, 75.30585644, 75.16853311, 42.31585264,\n", - " 44.78171514, 111.64694761, 51.1975505 , 48.60933729,\n", - " 116.68196382, 49.07166629, 95.55113431, 69.82611194,\n", - " 65.27889767, 66.08608702, 73.52645968, 22.85974437,\n", - " 23.62351581, 76.56680193, 46.65762127, 42.21730753,\n", - " 48.2170447 , 48.21402441, 127.98737036, 110.23248237,\n", - " 65.16918415, 74.97852636, 61.10157348, 66.69286917,\n", - " 65.78787477, 53.5450551 , 42.06237637, 76.78277248,\n", - " 77.5585419 , 54.42645991, 54.33385448, 72.2982646 ,\n", - " 77.328282 , 60.12511275, 68.44013686, 77.26366462,\n", - " 75.26016268, 31.17322116, 55.18767293, 49.8574208 ,\n", - " 54.96729324, 42.58879422, 40.9035948 , 69.38571658,\n", - " 33.37218424, 75.1082082 , 78.36072002, 76.74858394,\n", - " 63.06218836, 67.19101676, 47.94827881, 71.16808937,\n", - " 77.35240397, 47.14814002, 66.63051473, 68.18800997,\n", - " 133.9452923 , 67.81187338, 67.706636 , 58.47884023,\n", - " 68.92319804, 76.0349783 , 76.57768286, 57.07794826,\n", - " 54.79153793, 93.69385781, 58.46411193, 38.56820292,\n", - " 77.30884528, 77.30974252, 52.35432785, 51.82605271,\n", - " 59.30568783, 30.30728185, 54.83985244, 92.08582013,\n", - " 58.56816022, 65.07290632, 54.4723689 , 53.876834 ,\n", - " 64.95383652, 61.07517484, 48.25473351, 54.016389 ,\n", - " 87.82810134, 86.18495595, 74.25412739, 67.05837456,\n", - " 48.21611673, 66.73317879, 72.03752832, 95.68452365,\n", - " 77.10176521, 75.48061666, 63.87981656, 75.51679604,\n", - " 72.6585292 , 88.10473283, 33.92548819, 23.07590595,\n", - " 32.13022655, 66.09185743, 65.0697302 , 141.05826704,\n", - " 80.87450116, 62.725829 , 74.40470013, 77.5171327 ,\n", - " 67.90446801, 75.74622209, 68.26803537, 49.67424459,\n", - " 51.18734992, 63.04079635, 54.75181702, 57.21689309,\n", - " 69.11818613, 26.58034619, 27.81320208, 38.42227459,\n", - " 76.09594019, 126.7632603 , 55.3355694 , 61.04752446,\n", - " 77.85424535, 48.90177163, 48.6891412 , 64.53785408,\n", - " 67.58298324, 60.25795317, 57.20770922, 54.25833475,\n", - " 46.26942049, 69.26862261, 68.97483391, 70.47556912,\n", - " 74.95505607, 55.03022985, 67.76390387, 54.6150202 ,\n", - " 42.28872806, 40.5090783 , 139.42679609, 107.33448412,\n", - " 35.01725587, 36.96052388, 88.27383187, 76.15801721,\n", - " 50.3120657 , 99.04367534, 35.58989174, 35.78535224,\n", - " 66.05717639, 70.733304 , 57.30550561, 74.19740062,\n", - " 76.67689615, 46.83219648, 49.69741468, 74.1007571 ,\n", - " 86.57176412, 73.60285276, 68.01226589, 75.25135689,\n", - " 47.20094575, 46.78012032, 139.22469111, 139.47700821,\n", - " 73.36278758, 38.22962137, 74.41854464, 61.29328264,\n", - " 48.19674588, 67.99225252, 34.88013537, 34.59049846,\n", - " 61.92286805, 40.73538557, 66.74545426, 98.55048342,\n", - " 71.85095135, 73.02887287, 73.04146515, 107.99310293,\n", - " 67.12129202, 67.64900083, 58.1574756 , 56.46513567,\n", - " 116.6847411 , 113.42363389, 76.75953854, 69.86665273,\n", - " 97.49811017, 82.50458912, 114.22634185, 88.04765386,\n", - " 70.15769044, 69.83763234, 73.51043652, 49.11028899,\n", - " 53.38971509, 29.42302024, 72.33222958, 74.41206939,\n", - " 32.24682595, 67.27790555, 68.63819622, 71.47196554,\n", - " 117.76516345, 112.92885616, 75.74696373, 65.44296021,\n", - " 70.33394406, 68.61515597, 74.76365901, 73.73169331,\n", - " 76.66353193, 94.79290625, 105.16582907, 74.03746207,\n", - " 74.25024088, 75.7035717 , 74.9561371 , 73.13844479,\n", - " 67.78226189, 75.19610822, 61.81935708, 56.94210717,\n", - " 71.29755745, 62.76973842, 50.73140704, 106.90164459,\n", - " 72.2804417 , 61.89512458, 64.98389698, 76.1317038 ,\n", - " 44.2189944 , 27.242418 , 4.9159096 , 49.95527153,\n", - " 59.73421295, 88.83158873, 74.17262412, 74.76881648,\n", - " 60.54723705, 23.79646503, 46.69407217, 75.31104866,\n", - " 66.17046755, 69.46246996, 108.64899316, 72.04745931,\n", - " 75.61671753, 74.08318216, 34.41376326, 74.25750553,\n", - " 68.88028064, 100.27940689, 74.46998471, 77.54966486,\n", - " 68.28685576, 67.46619405, 67.4328878 , 42.5315267 ,\n", - " 36.71272193, 46.40149788, 57.9099853 , 57.81449106,\n", - " 75.9703624 , 74.7264762 , 36.79187812, 43.01132755,\n", - " 64.01211585, 73.78726039, 74.4266274 , 68.26189019,\n", - " 68.27555207, 72.42719159, 65.6686636 , 72.36409452,\n", - " 71.53479161, 85.02563242, 65.28526655, 37.42887881,\n", - " 74.76343165, 38.42084886, 23.19378036, 75.79691015,\n", - " 55.81033123, 50.82667809, 49.83820245, 33.33224685,\n", - " 121.22312531, 123.19940863, 91.24689129, 67.70370614,\n", - " 66.84404669, 72.91823195, 73.95469407, 73.21667456,\n", - " 78.12432209, 77.54441397, 64.79893395, 109.31969084,\n", - " 17.86812316, 19.18857649, 47.78619356, 76.20899152,\n", - " 72.37135651, 19.78946764, 40.30661963, 49.21310934,\n", - " 73.75532027, 70.40055786, 36.79648122, -10.21210957,\n", - " 73.98898885, 64.591308 , 77.39817481, 64.6680029 ,\n", - " 71.6169202 , 72.46920301, 67.69414745, 75.55227826,\n", - " 41.91743303, 31.31208943, 74.75196487, 68.7303513 ,\n", - " 77.4655033 , 129.70362855, 60.53534923, 68.3219227 ,\n", - " 29.21718735, 16.26797411, 76.73245729, 74.59156337,\n", - " 74.9037086 , 75.39013573, 51.96056532, 44.82231576,\n", - " 65.32787594, 53.43214379, 54.11727704, 112.36628381,\n", - " 50.81696856, 48.96042488, 53.72119596, 18.96052093,\n", - " 19.17041966, 70.30563993, 65.33400368, 77.96527913,\n", - " 77.8544795 , 21.21879594, 21.47535354, 45.75196605,\n", - " 77.36784908, 75.68561261, 29.85524404, 71.75493751,\n", - " 76.90103126, 72.78897399, 58.59726534, 54.09863994,\n", - " 69.97842208, 75.83489817, 76.22718864, 75.72643621,\n", - " 75.37436118, 39.62657376, 73.68937563, 77.20607398,\n", - " 61.9184366 , 109.06765792, 53.7889103 , 71.94096719,\n", - " 73.00930082, 50.36106902, 71.87522797, 75.34586841,\n", - " 50.76318327, 68.65344539, 111.47514352, 119.44114597,\n", - " 118.60181137, 97.63858116, 39.04097688, 38.071983 ,\n", - " 61.7608039 , 75.0026718 , 76.03281983, 74.77532043,\n", - " 101.27756871, 76.10662479, 74.24290101, 47.08211632,\n", - " 97.88998682, 64.92425491, 66.87270977, 77.40105105,\n", - " 59.15139594, 19.92057369, 110.61349843, 68.72531627,\n", - " 50.25428547, 42.1988478 , 60.06360514, 65.05731595,\n", - " 66.22467982, 53.86497769, 127.58674738, 75.02889169,\n", - " 72.21232552, 65.70348365, 24.91940801, 69.21761772,\n", - " 74.22594731, 66.84339222, 56.81037333, 38.87976574,\n", - " 20.58694851, 67.49769052, 26.83462734, 59.39072165,\n", - " 81.98201148, 77.52726879, 71.2273075 , 66.48712489,\n", - " 67.23588498, 69.02371817, 69.6220186 , 43.37596486,\n", - " 68.54501948, 62.58825751, 59.47983807, 68.16553527,\n", - " 115.45801857, 98.0494351 , 55.4476848 , 64.40088705,\n", - " 136.20678295, 64.38166543, 66.8101635 , 64.47732895,\n", - " 54.27598125, 73.24835433, 60.63258436, 77.18201509,\n", - " 124.50912245, 68.65842485, 72.79010486, 66.37973303,\n", - " 68.19959275, 65.63993479, 68.7541613 , 68.03387193,\n", - " 56.78594919, 76.14657273, 56.32832714, 70.13073053,\n", - " 49.41941201, 39.1917642 , 71.31802008, 65.49684426,\n", - " 66.36591084, 57.63917763, 72.57552412, 78.16483881,\n", - " 75.28219983, 71.95210279, 51.68752789, 75.38762735,\n", - " 72.62784045, 70.31020366, 81.63475851, 102.10502381,\n", - " 74.25233868, 42.21478121, 69.41327492, 64.0530471 ,\n", - " 74.75858219, 112.60684004, 45.83073145, 127.24346098,\n", - " 79.50791975, 49.65028332, 47.90464761, 118.0742102 ,\n", - " 69.18973581, 64.89163598, 74.23107659, 66.63722986,\n", - " 18.93497224, 18.52836978, 68.74356843, 71.71143362,\n", - " 68.04470315, 75.54694894, 98.34946405, 104.34609988,\n", - " 46.78045438, 119.35214116, 47.42643545, 74.21293143,\n", - " 74.23710059, 74.72617993, 66.52677609, 48.19251061,\n", - " 76.11309582, 66.83385268, 71.29859365, 73.00553013,\n", - " 78.24129828, 72.10767924, 61.73881157, 68.36225928,\n", - " 60.90066992, 63.68765551, 55.19397533, 68.19538873,\n", - " 68.28094363, 67.9023276 , 76.58517977, 49.81955305,\n", - " 22.84032928, 50.11656234, 93.69613207, 18.36831015,\n", - " 29.3731455 , 49.65836636, 67.86130901, 35.3158067 ,\n", - " 59.41029263, 59.40975244, 48.21488286, 65.42118104,\n", - " 63.55241231, 73.83079836, 73.23358097, 46.71204176,\n", - " 41.26555069, 75.91373962, 75.63104405, 71.12198577,\n", - " 27.79258735, 75.20248129, 70.05955647, 70.0535873 ,\n", - " 109.84243931, 70.04112217, 70.21983333, 58.53224316,\n", - " 76.72737256, 18.77996353, 33.63373321, 71.33323973,\n", - " 47.07528639, 71.54008309, 69.19273784, 27.14898004,\n", - " 72.57509205, 54.79064893, 86.27115482, 67.40073387,\n", - " 64.38372705, 39.6533535 , 100.07412446, 22.04583691,\n", - " 41.37978706, 71.56003798, 20.63344697, 49.27551599,\n", - " 26.56358193, 55.64111683, 33.55005533, 73.97290639,\n", - " 92.31359291, 79.77996769, 48.13398406, 45.13967662,\n", - " 66.7909712 , 83.42388428, 72.72164287, 18.70475465,\n", - " 75.80580076, 44.18090139, 74.71897978, 100.87931246,\n", - " 74.67907946, 73.64639553, 67.30419559, 51.46612534,\n", - " 74.25387572, 69.87772055, 70.05039657, 24.21146997,\n", - " 112.53926762, 88.53928996, 64.36175201, 64.6097873 ,\n", - " 72.98849104, 74.94963947, 92.30214616, 68.78405781,\n", - " 64.13730783, 74.3400946 , 121.95936558, 67.35897934,\n", - " 48.48311517, 61.88424198, 76.10513438, 100.23688277,\n", - " 33.56538999, 46.04581587, 54.95450952, 58.74960103,\n", - " 68.62151667, 75.02782804, 70.55907587, 67.85487131,\n", - " 46.99911664, 67.13111278, 66.27348073, 67.62273961,\n", - " 106.9911074 , 65.04749933, 49.17059587, 64.27453923,\n", - " 76.97360136, 22.36244728, 22.80072631, 65.94462315,\n", - " 64.87434193, 64.74627023, 46.32560307, 46.97247978,\n", - " 73.80574525, 62.127807 , 66.4931316 , 71.51297727,\n", - " 75.69731526, 48.06743567, 66.82612851, 29.10229832,\n", - " 54.02819156, 64.44549385, 74.0812545 , 72.89548115,\n", - " 40.51324826, 40.12278807, 61.31708548, 26.15175097,\n", - " 73.03489536, 77.36759307, 73.75941562, 73.0807205 ,\n", - " 78.12429874, 48.1941653 , 22.83776885, 50.86899252,\n", - " 59.61543058, 96.43079394, 46.8932619 , 62.67478896,\n", - " 61.43890456, 41.74449493, 63.47572516, 61.1920176 ,\n", - " 54.52419231, 67.42507294, 58.94101528, 48.9583121 ,\n", - " 125.17707587, 28.27155203, 41.29940392, 107.74645167,\n", - " 90.54061601, 58.54612978, 74.25233801, 42.73992663,\n", - " 29.19747317, 48.35083717, 40.05361967, 60.3135173 ,\n", - " 70.02301882, 36.9461136 , 66.40781692, 64.39332066,\n", - " 71.94515073, 75.11613147, 106.28812078, 75.0552121 ,\n", - " 54.51080747, 38.74734606, 63.99675379, 72.40810037,\n", - " 71.72901918, 65.10057684, 112.93414327, 66.22625718,\n", - " 91.69136591, 72.21814139, 65.46911016, 66.16140082,\n", - " 67.67705616, 42.06295604, 63.86432414, 63.89725126,\n", - " 75.01488199, 70.48150897, 70.11630219, 77.16719427,\n", - " 51.63081775, 134.9407435 , 70.11309596, 55.1837949 ,\n", - " 47.75090642, 62.66569414, 59.12613889, 52.96934921,\n", - " 75.42445719, 130.26356903, 62.03380221, 72.0064686 ,\n", - " 50.54707693, 65.11336912, 66.59839985, 37.2346222 ,\n", - " 73.30681261, 4.2314068 , 70.12672747, 76.13456225,\n", - " 62.06989503, 78.54358826, 65.37716165, 67.18453733,\n", - " -1.6634491 , 36.67424166, 32.0914314 , 73.11804408,\n", - " 59.41916381, -0.43266822, -0.79659871, 79.01601552,\n", - " 35.94175145, 30.29481456, 59.05369662, -2.14680977,\n", - " -18.25966918, 118.4804266 , 48.46610492, 39.99 ,\n", - " 114.74727149, 114.76045118, 1.72776122, 114.57570265,\n", - " 116.04919509, 27.61436617, 152.54474395, 77.743081 ,\n", - " 77.47426788, -0.46493595, 167.87551545, -8.1232379 ,\n", - " 23.61934103, 159.18810345, 119.2473962 , 98.4020447 ,\n", - " 48.46610495, 71.97669058, 114.74727109, 114.76045139,\n", - " 0. , 0. , 60.89817241, 74.52876928,\n", - " 46.194113 , 64.28530411, 37.17475842, 41.69901606,\n", - " 26.77547469, 33.70591489, 53.88644457, 42.34070704,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 44.44213658, 46.40020486, 62.08633776, 35.65732818,\n", - " 76.8157965 , 76.94938372, 77.9000597 , 74.95834258,\n", - " 57.51702398, 25.38912954, 75.49405988, 76.81989223,\n", - " 55.02663662, 69.61044982, 69.90534766, 71.40560532,\n", - " 46.02899212, 51.70333947, 56.99351372, 68.07374977,\n", - " 71.87539762, 70.88199857, 67.63489237, 50.12735637,\n", - " 77.3260821 , 75.96952597, 67.49697998, 71.37463013,\n", - " 44.83862461, 142.89014418, 68.80681812, 72.96576344,\n", - " 77.20626183, 34.25517963, 68.00140611, 40.39799473,\n", - " 60.28403779, 50.7258266 , 16.79866997, 31.29382385,\n", - " 62.35151104, 64.69933201, 67.00644664, 60.1726833 ,\n", - " 77.9041234 , 63.83017671, 68.03126268, 75.08295786,\n", - " 77.87789995, 54.4149796 , 75.30497916, 74.49097971,\n", - " 71.60127508, 77.7341363 , 40.47493938, 72.90604556,\n", - " 72.7144561 , 109.01466741, 92.19507241, 55.51532491,\n", - " 67.27765884, 57.60378522, 39.3054665 , 39.22115404,\n", - " 52.35054666, 58.78448081, 38.53373357, 36.08882323,\n", - " 63.8060492 , 343.13489541, 51.3006397 , 59.13694433,\n", - " 70.70784099, 71.23989007, 69.08362799, 58.07676831,\n", - " 9.80617951, 69.59955379, 65.91217974, 38.53895679,\n", - " 49.55381917, 97.09543618, 85.11002468, 102.68862932,\n", - " 77.65967152, 77.12087364, 65.07337777, 70.58839 ,\n", - " 70.61817636, 21.87832028, 16.35986145, 50.43312848,\n", - " 49.95185052, 48.05152258, 95.48087685, 81.60224911,\n", - " 77.240216 , 77.24992192, 10.91487687, 46.04806037,\n", - " 89.25961543, 105.73900717, 52.82508008, 90.41968261,\n", - " 67.87638188, 67.42492977, 39.54570339, 73.03874706,\n", - " 75.38388946, 71.89335302, 74.46398585, 70.17619224,\n", - " 121.93819846, 42.2241424 , 31.30433425, 122.88077064,\n", - " 77.48781378, 116.92495782, 109.98457575, 127.27366933,\n", - " 92.98102418, 36.32051162, 37.75790774, 44.45890111,\n", - " 47.7726842 , 141.91801606, 80.90948131, 80.43203314,\n", - " 63.12666763, 59.84228308, 69.66065583, 62.19075641,\n", - " 73.55558631, 73.24615952, 44.07888362, 46.3179128 ,\n", - " 58.97338751, 73.28096016, 76.10317234, 76.10051167,\n", - " 88.65482827, 86.50204846, 42.17511488, 48.53291276,\n", - " 70.25006068, 75.32522652, 75.18680412, 43.17944533,\n", - " 45.64531844, 111.68305026, 52.0614686 , 48.7775903 ,\n", - " 118.65152047, 52.81396407, 96.89392731, 69.94742711,\n", - " 65.3713746 , 66.17414958, 73.55130851, 22.9304814 ,\n", - " 23.70691475, 76.56595093, 47.64313197, 43.21156268,\n", - " 49.36056719, 49.35775945, 128.03166239, 110.28175458,\n", - " 65.26288797, 75.00337577, 61.28208991, 66.87338613,\n", - " 65.88563944, 53.57022738, 42.08756475, 76.77327278,\n", - " 77.54546656, 54.45161803, 54.35901628, 72.54135158,\n", - " 77.35313964, 60.3091626 , 68.62284137, 77.07754591,\n", - " 75.06698201, 31.23471786, 55.73995984, 50.41029098,\n", - " 55.23575436, 42.85725426, 40.90368192, 69.38766783,\n", - " 33.36882608, 75.15754759, 78.41183324, 76.75071428,\n", - " 63.33242802, 67.46125647, 51.0621809 , 71.15320971,\n", - " 77.33805165, 50.88858528, 66.63899699, 68.36349312,\n", - " 133.93663515, 67.83806771, 67.7328985 , 58.79868597,\n", - " 69.24350848, 76.01742891, 76.56018523, 59.17507681,\n", - " 56.82012846, 94.80864526, 59.82959706, 40.16427738,\n", - " 77.33473118, 77.33558342, 54.49970735, 53.96325694,\n", - " 59.91768721, 30.92145377, 54.86502098, 93.98365345,\n", - " 59.12054091, 65.82220965, 54.49754059, 53.90200621,\n", - " 64.97894574, 61.25923018, 49.11116182, 54.82613331,\n", - " 89.97377686, 88.32790432, 74.43080088, 67.05839756,\n", - " 48.79218811, 66.73402227, 72.06303866, 97.00753732,\n", - " 77.09285089, 75.48252104, 63.88190501, 75.51860465,\n", - " 72.66051017, 90.25511866, 34.42130794, 23.65242662,\n", - " 32.62605027, 66.0933999 , 65.07111158, 140.98399039,\n", - " 82.45739927, 63.2034994 , 74.40319837, 77.51598393,\n", - " 67.90652278, 75.77095373, 68.27004544, 49.24478461,\n", - " 50.7579128 , 64.48460103, 56.19589569, 57.24436832,\n", - " 69.14263268, 27.07813068, 28.67786379, 39.28708852,\n", - " 76.10159955, 126.68868526, 55.33217056, 61.04412413,\n", - " 77.66757773, 50.07314484, 49.86052428, 64.66152782,\n", - " 67.60925882, 60.44367581, 59.08331904, 56.14095718,\n", - " 46.53788033, 69.43235075, 69.13853738, 70.62636423,\n", - " 75.11052053, 55.03223274, 67.7903073 , 54.61716793,\n", - " 42.31389507, 40.53424531, 139.35591625, 107.29950871,\n", - " 35.01385772, 36.95712544, 89.69220936, 77.59535614,\n", - " 50.43578726, 100.69172813, 35.71439883, 36.70432564,\n", - " 66.34862545, 71.02475325, 57.90412784, 74.19930486,\n", - " 76.67879878, 47.81747248, 50.68662277, 74.09777524,\n", - " 88.46662803, 73.59980676, 68.00938829, 75.23448205,\n", - " 47.19757291, 46.77674779, 139.26105054, 139.51375877,\n", - " 73.35970376, 38.3533432 , 73.95512051, 61.28988298,\n", - " 49.34169689, 68.01876741, 35.60723213, 35.27860383,\n", - " 62.25186233, 41.89603905, 66.7719696 , 98.6008746 ,\n", - " 71.84895954, 73.02732097, 73.03953287, 110.13097829,\n", - " 67.11784702, 67.64318416, 58.18264892, 56.490309 ,\n", - " 118.65602948, 115.39501409, 76.75866373, 69.89319186,\n", - " 98.73008546, 83.73766811, 116.37405423, 90.19700691,\n", - " 70.15878486, 69.83871373, 73.51062767, 51.09387445,\n", - " 53.78252887, 29.81583439, 72.43105461, 74.41407383,\n", - " 34.27565618, 67.27895619, 68.63949147, 71.45661536,\n", - " 119.86813791, 114.98848037, 75.7484486 , 65.43952958,\n", - " 70.33504629, 68.61621153, 74.76499051, 73.72861129,\n", - " 76.65508238, 96.1323831 , 106.50915248, 74.21817884,\n", - " 74.42777653, 75.70559145, 74.95808884, 73.1353723 ,\n", - " 67.78331286, 75.22118761, 62.08781602, 57.33489782,\n", - " 71.32257403, 62.79489657, 52.33857331, 108.50915249,\n", - " 72.09421423, 63.76923277, 65.47475543, 76.1331349 ,\n", - " 45.92498028, 28.9759341 , 5.3087244 , 51.65941496,\n", - " 61.20155059, 90.41009863, 74.27518249, 74.86880285,\n", - " 61.34908507, 24.30288823, 47.4999484 , 75.33589142,\n", - " 66.19531249, 69.70432438, 108.89458622, 72.33890858,\n", - " 75.6425602 , 74.10902483, 34.43704424, 74.43466663,\n", - " 68.44615424, 100.09311253, 74.47196806, 77.54550473,\n", - " 68.69465906, 67.46587825, 67.43257102, 44.63353258,\n", - " 36.73791049, 50.14264914, 58.03369132, 57.38416722,\n", - " 76.13897693, 74.89495129, 37.05266248, 43.21924531,\n", - " 64.03951178, 73.78386787, 74.20362369, 68.26158713,\n", - " 68.27523939, 72.45276641, 65.6616165 , 72.36313389,\n", - " 71.53431094, 86.92101688, 65.67767524, 37.82128802,\n", - " 74.76513867, 40.17171371, 24.77528979, 75.7941512 ,\n", - " 56.36239205, 50.81962516, 50.81004096, 34.00788786,\n", - " 121.22468904, 123.19950549, 91.27874373, 67.72447677,\n", - " 66.86456217, 73.09531742, 72.74509828, 73.39376104,\n", - " 77.87511846, 77.29521194, 64.7998769 , 109.24881344,\n", - " 18.36683998, 19.68815523, 48.43802084, 76.21047639,\n", - " 71.16179843, 20.28642465, 39.89768648, 50.38410972,\n", - " 73.93607135, 70.55560168, 37.74505316, -9.26353736,\n", - " 73.9865486 , 64.59269588, 77.39544595, 64.67606773,\n", - " 71.67922152, 72.46611252, 67.69086608, 75.57811913,\n", - " 43.66617368, 33.05396764, 74.7533294 , 68.73166837,\n", - " 77.46152374, 129.60320328, 61.08292258, 68.86949611,\n", - " 30.68725179, 17.73895025, 76.73158248, 74.73500345,\n", - " 74.89837187, 75.38479563, 53.68232335, 47.9666598 ,\n", - " 65.3292436 , 55.14841153, 55.83377658, 112.40226424,\n", - " 51.77120436, 49.91565663, 54.20873927, 20.70121943,\n", - " 20.91464261, 70.30148459, 65.36054171, 77.95911278,\n", - " 77.66770188, 21.24396816, 21.5005257 , 45.77713298,\n", - " 77.36099745, 75.68170617, 30.6725988 , 71.92371829,\n", - " 76.89749374, 72.95775411, 58.76596363, 54.12381217,\n", - " 69.99737327, 75.86028873, 76.25265427, 75.73437258,\n", - " 75.39211809, 40.79798202, 75.26912224, 77.20253483,\n", - " 61.94606321, 109.00622324, 53.8727327 , 71.94307019,\n", - " 73.01798866, 51.2489077 , 71.89816411, 75.34785558,\n", - " 51.71683754, 68.65449001, 112.48200206, 119.45280531,\n", - " 120.71645639, 99.75938603, 39.9872556 , 39.01887805,\n", - " 61.92568176, 75.00060083, 76.03080213, 74.77330865,\n", - " 102.91341111, 76.10454668, 74.42081476, 47.16593895,\n", - " 99.2543566 , 64.95315276, 66.87366215, 76.86954496,\n", - " 60.46524578, 21.67729283, 111.39326861, 69.21545785,\n", - " 52.36431753, 43.82490402, 60.38345603, 65.05023707,\n", - " 66.21760869, 55.99480577, 127.69711412, 75.03025809,\n", - " 72.23067704, 66.194174 , 24.94831612, 69.53884098,\n", - " 74.22406095, 66.84365017, 57.27762864, 40.63563087,\n", - " 22.35029794, 67.49081209, 28.00687866, 60.73906699,\n", - " 81.07206735, 77.30437229, 71.40439399, 66.63419246,\n", - " 67.38329283, 69.31516747, 69.91346792, 44.87772726,\n", - " 68.84986671, 62.8931118 , 60.09126996, 67.25562252,\n", - " 115.54353278, 98.14570566, 56.00055494, 64.7937145 ,\n", - " 136.19555684, 64.38438395, 66.80793245, 65.81408623,\n", - " 55.65448332, 73.22536633, 61.22148866, 77.15885703,\n", - " 124.58736494, 68.66023412, 72.88997327, 66.40627389,\n", - " 68.22613363, 65.6608376 , 68.75610786, 68.03581953,\n", - " 57.33882726, 76.14849602, 56.88120618, 70.28145896,\n", - " 50.37364106, 40.1403361 , 71.34297489, 65.52338489,\n", - " 66.3924517 , 59.79700585, 71.6915077 , 77.61084926,\n", - " 75.28368067, 71.01117233, 50.74659746, 74.48100588,\n", - " 72.63859822, 70.32096156, 83.00102043, 103.33408829,\n", - " 74.42976638, 42.42269974, 69.41431994, 64.7147185 ,\n", - " 74.92736233, 114.35613616, 46.22355896, 128.86107134,\n", - " 81.14395779, 49.64688449, 47.90124878, 120.19893126,\n", - " 69.1907808 , 65.21988836, 75.67251163, 68.07871398,\n", - " 20.67826155, 20.27246672, 69.13471743, 71.87516206,\n", - " 68.04274578, 75.57180769, 98.39424223, 105.92863834,\n", - " 47.92076176, 121.39114867, 48.10697304, 74.39238705,\n", - " 74.41531296, 74.82616632, 66.52460409, 49.33775967,\n", - " 76.11207728, 66.8603707 , 71.28327 , 73.06733185,\n", - " 78.20536745, 71.20137845, 61.90361192, 68.52604932,\n", - " 60.92829783, 63.71528342, 54.76460012, 68.20303229,\n", - " 68.28248824, 67.89494889, 76.58419752, 50.7910665 ,\n", - " 24.54257873, 50.1464551 , 95.02144033, 20.12017973,\n", - " 31.48338959, 51.74762429, 67.88775152, 37.40523419,\n", - " 60.02661874, 60.02611658, 49.35855749, 65.43653548,\n", - " 63.57359669, 74.01141088, 73.41419348, 46.7049874 ,\n", - " 41.25850525, 75.9388094 , 75.63254668, 69.87577125,\n", - " 29.38689855, 75.18076109, 70.2035726 , 69.10797474,\n", - " 110.64034398, 69.81603407, 70.31820875, 58.86165888,\n", - " 76.82735916, 19.64417395, 34.69927036, 72.77386152,\n", - " 47.39514183, 71.53940249, 69.19232369, 27.76532171,\n", - " 72.67511053, 55.12006504, 88.41423322, 67.67097358,\n", - " 64.3850425 , 40.6248903 , 102.19885025, 22.21453639,\n", - " 41.40495765, 71.87069557, 22.46124665, 50.7196035 ,\n", - " 27.87851833, 56.03390797, 33.94285241, 73.7236853 ,\n", - " 93.97133316, 79.83079514, 48.13061942, 46.58381838,\n", - " 66.79748521, 84.65592913, 71.50790065, 20.85228804,\n", - " 75.83064402, 44.17753675, 73.82030948, 100.81851314,\n", - " 74.77906592, 73.74638199, 67.29676107, 51.7956045 ,\n", - " 74.43122413, 69.90426142, 70.20493754, 24.23666044,\n", - " 112.62312596, 89.04193504, 64.38840685, 64.63657529,\n", - " 73.04422926, 74.94998678, 92.5225882 , 68.7860014 ,\n", - " 64.58425404, 74.44046627, 123.92973774, 67.35277244,\n", - " 48.50828739, 62.06708225, 76.10564662, 100.328703 ,\n", - " 33.82620834, 46.64817653, 55.0383395 , 58.77150926,\n", - " 68.64779225, 75.51398838, 70.64713915, 67.84813764,\n", - " 48.70897961, 66.69591459, 67.71124118, 67.61945824,\n", - " 107.09737605, 65.07429091, 48.29746201, 64.28989367,\n", - " 76.99945466, 22.38435595, 24.49983491, 65.97133925,\n", - " 64.88094892, 64.77306174, 46.35077672, 47.92670886,\n", - " 73.63758114, 62.15543363, 66.48665268, 71.28776817,\n", - " 75.78537892, 48.09555925, 66.85284462, 29.36312382,\n", - " 55.47228649, 64.22041739, 74.31436486, 72.94327921,\n", - " 40.09113067, 40.1746267 , 61.50114088, 26.61900658,\n", - " 73.03296219, 77.48811134, 73.75488633, 73.08201673,\n", - " 77.87509676, 49.33929792, 24.4449272 , 51.82322635,\n", - " 59.79948592, 98.37010163, 47.87865282, 62.97445006,\n", - " 61.60367312, 42.62887663, 63.64066649, 61.35695892,\n", - " 55.07706246, 67.55344496, 59.06938732, 52.69943913,\n", - " 126.9123918 , 28.53290367, 42.28634074, 108.75376564,\n", - " 92.58656532, 59.09900883, 74.42976575, 43.69416126,\n", - " 29.19407505, 52.09202437, 40.91803697, 60.53452016,\n", - " 70.02378163, 37.07012111, 66.54223944, 64.39387818,\n", - " 71.96752341, 75.30914837, 108.25944716, 75.22044022,\n", - " 55.06366818, 39.63585745, 64.01779799, 72.50692541,\n", - " 71.50404553, 64.88523852, 113.16919711, 66.22652505,\n", - " 93.85397399, 71.97296576, 65.46394312, 66.15605073,\n", - " 67.84075969, 43.01899465, 64.04141085, 64.07433822,\n", - " 75.17084744, 70.77798664, 70.11734735, 77.19305654,\n", - " 51.63525708, 134.94154864, 70.27685856, 55.2303278 ,\n", - " 47.79799244, 62.84403671, 60.57036193, 52.90917069,\n", - " 75.4259486 , 130.26437447, 62.19860256, 71.95782265,\n", - " 50.57402669, 65.13989483, 66.62519215, 38.18390243,\n", - " 73.30815642, 5.12928716, 70.14323378, 76.13507647,\n", - " 61.77771766, 77.33708539, 65.40585063, 67.21105252,\n", - " -1.6634491 , 37.37004984, 32.39363328, 76.03410179,\n", - " 60.0299812 , -0.43266978, -0.79660286, 79.0669073 ,\n", - " 36.6100818 , 32.27809596, 59.91538167, -0.86640094,\n", - " -17.39637617, 118.71548044, 50.0027226 , 39.99 ,\n", - " 115.70838393, 116.0855093 , 1.72776122, 115.88787745,\n", - " 116.99210548, 29.79791968, 152.65023614, 77.72952826,\n", - " 77.43835804, -0.46491613, 167.78589777, -6.47163973,\n", - " 24.37344065, 159.40821051, 118.95715877, 100.05009749,\n", - " 50.00272262, 71.78585962, 115.70838354, 116.08550951,\n", - " 0. , 0. , 60.87216208, 74.25430903,\n", - " 46.194113 , 64.28530411, 36.71027779, 40.41863634,\n", - " 26.77547469, 33.41228919, 53.88644457, 42.34070704,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 44.31398212, 47.13440945, 61.81718771, 35.38992009,\n", - " 76.34736496, 76.48112688, 77.43167773, 74.49208198,\n", - " 57.05867842, 24.93106903, 75.03708097, 76.36285895,\n", - " 55.30392541, 69.14380285, 69.43557815, 70.93583582,\n", - " 45.95999735, 51.47636578, 56.52547559, 67.60570635,\n", - " 71.40924074, 70.41578786, 67.16494889, 50.07015869,\n", - " 76.8691878 , 75.51213735, 67.02697743, 70.65136594,\n", - " 44.12025208, 142.7000801 , 68.86793443, 72.34945897,\n", - " 76.591701 , 33.79793627, 67.60258603, 39.94075115,\n", - " 59.83282073, 50.27463708, 16.34142726, 30.83658079,\n", - " 62.0072652 , 64.35509494, 66.60936665, 59.83110252,\n", - " 77.42688786, 63.57718697, 67.77159149, 75.07796433,\n", - " 77.4058919 , 55.15209525, 74.83845854, 74.02446791,\n", - " 71.12796733, 77.2575463 , 40.13093564, 72.56134974,\n", - " 72.36979566, 108.87699788, 91.94900267, 55.37796003,\n", - " 66.69608994, 57.1270635 , 39.35554789, 39.27194436,\n", - " 51.89330143, 58.32737904, 38.48312441, 36.04208368,\n", - " 63.34879154, 342.73255982, 50.84339141, 58.67970254,\n", - " 70.3054011 , 70.83745017, 68.43256273, 57.81725085,\n", - " 9.54667799, 69.24716505, 65.56713684, 38.58922209,\n", - " 49.18984715, 97.07213457, 85.08673345, 102.68367641,\n", - " 77.08422546, 76.54867773, 64.61611851, 70.22577127,\n", - " 70.25653998, 21.42107794, 15.9026189 , 50.37587976,\n", - " 49.49460259, 47.5942772 , 95.45305531, 81.57443314,\n", - " 76.76362604, 76.77333196, 10.83434404, 45.96750229,\n", - " 89.73471402, 106.52557489, 52.91949672, 91.20635308,\n", - " 67.41964275, 66.96822998, 39.59609118, 72.67388532,\n", - " 74.89901219, 71.41316558, 74.09214071, 69.80438136,\n", - " 122.62833228, 42.40961352, 31.48910693, 123.62237223,\n", - " 77.11596624, 116.93341607, 109.99305189, 127.91024371,\n", - " 93.72267141, 36.45282846, 37.89381835, 44.6280352 ,\n", - " 47.93942372, 141.72116682, 80.78135946, 80.30398994,\n", - " 63.36486676, 60.12520098, 69.31583033, 61.84648909,\n", - " 73.18921389, 72.88009528, 44.13300104, 46.36988744,\n", - " 58.83439907, 72.93504599, 75.63535466, 75.63290365,\n", - " 88.50602509, 86.35461382, 42.15954217, 48.57294996,\n", - " 69.8887027 , 74.8657464 , 74.72689797, 43.04045764,\n", - " 45.58714745, 111.53627453, 52.00373099, 48.37655885,\n", - " 119.36834493, 53.76662763, 97.17104401, 69.57586407,\n", - " 64.98821719, 65.7892194 , 73.09394174, 22.49114172,\n", - " 23.27254224, 76.09857448, 47.62704028, 43.19865355,\n", - " 49.40198423, 49.39925385, 127.8880003 , 110.14026886,\n", - " 64.88022372, 74.54600922, 60.88588775, 66.47718416,\n", - " 65.50460926, 53.11298509, 41.63032831, 76.30261419,\n", - " 77.07340329, 53.99437058, 53.90177017, 72.16508645,\n", - " 76.89577608, 59.91434693, 68.22749212, 76.49803486,\n", - " 74.48242634, 30.79175343, 55.49610279, 50.16664622,\n", - " 54.87428493, 42.49578443, 40.436549 , 68.92142105,\n", - " 32.90043925, 74.75635721, 78.01208119, 76.28447683,\n", - " 63.0221657 , 67.15099417, 51.78613844, 70.680193 ,\n", - " 76.86540622, 51.84057461, 66.17529349, 67.96528984,\n", - " 133.93737633, 67.38124146, 67.27609911, 58.4573475 ,\n", - " 68.9025323 , 75.54335942, 76.08613568, 59.50689724,\n", - " 57.12257627, 94.75098869, 59.87278125, 40.29138506,\n", - " 76.87778076, 76.87861537, 54.85319482, 54.31338208,\n", - " 59.72503412, 30.72959139, 54.40777732, 94.67437404,\n", - " 58.87671799, 65.65146691, 54.04029809, 53.44476389,\n", - " 64.5216807 , 60.86441652, 49.04809018, 54.7431285 ,\n", - " 90.75470016, 89.10783508, 74.03306669, 66.59133979,\n", - " 48.56739554, 66.26728573, 71.60594313, 97.27745529,\n", - " 76.62242182, 75.0161954 , 63.41564637, 75.05224381,\n", - " 72.19421487, 91.03775629, 34.1539067 , 23.42779757,\n", - " 32.35865047, 65.62693468, 64.60458433, 140.79392696,\n", - " 82.81670062, 62.92926609, 73.93556346, 77.04846487,\n", - " 67.44025338, 75.31354268, 67.80375976, 48.52803516,\n", - " 50.04117167, 64.54669048, 56.25808487, 56.78805185,\n", - " 68.68512879, 26.8114445 , 28.62175631, 39.2308888 ,\n", - " 75.63674272, 126.49851324, 54.86376892, 60.57572195,\n", - " 77.08764566, 50.12469822, 49.91208124, 64.24295652,\n", - " 67.15246461, 60.04952495, 59.32213325, 56.38232365,\n", - " 46.17641044, 69.02953479, 68.73571168, 70.26678282,\n", - " 74.75263854, 54.56594297, 67.33356391, 54.15093087,\n", - " 41.85665088, 40.07700112, 139.16824815, 107.12549523,\n", - " 34.54545634, 36.48872395, 89.74504453, 77.65509237,\n", - " 50.01723335, 101.07474308, 35.29613083, 36.58610899,\n", - " 66.04714725, 70.72327512, 57.66062636, 73.73297918,\n", - " 76.21247251, 47.80129537, 50.67187676, 73.6295535 ,\n", - " 88.93947043, 73.13155849, 67.54133152, 74.76071472,\n", - " 46.72918073, 46.30835573, 139.2724229 , 139.52511007,\n", - " 72.89143901, 37.93478939, 73.22600973, 60.82148105,\n", - " 49.38363385, 67.56206762, 35.41682346, 35.07373149,\n", - " 61.90761143, 41.94369096, 66.3152693 , 98.46003974,\n", - " 71.38112823, 72.55966509, 72.5717262 , 110.90906271,\n", - " 66.64942858, 67.17380864, 57.72540701, 56.03306709,\n", - " 119.37348421, 116.11250223, 76.29127761, 69.43650022,\n", - " 98.9668698 , 83.97485415, 117.15571885, 90.97926866,\n", - " 69.69214694, 69.3720707 , 73.04364345, 51.37732585,\n", - " 53.52303106, 29.55633671, 72.00273848, 73.94778775,\n", - " 34.57819123, 66.812301 , 68.17293114, 70.98339765,\n", - " 120.63352007, 115.73808511, 75.28196424, 64.97111637,\n", - " 69.86841145, 68.14955834, 74.29844488, 73.26034832,\n", - " 76.18465193, 96.15650221, 106.53467155, 73.82204253,\n", - " 74.03038266, 75.23935571, 74.49182671, 72.66711316,\n", - " 67.31665783, 74.76391183, 61.7263458 , 57.07539159,\n", - " 70.86527196, 62.33764913, 52.46011714, 108.63082065,\n", - " 71.50975756, 64.00750046, 65.20557453, 75.66662802,\n", - " 46.09411806, 29.15509156, 5.04922696, 51.82794127,\n", - " 61.2827484 , 90.52121291, 73.89608203, 74.48866203,\n", - " 61.19746608, 24.03937215, 47.34979548, 74.87852245,\n", - " 65.73794431, 69.57941205, 108.77103457, 72.03743045,\n", - " 75.18559283, 73.65205747, 33.97907102, 74.03712489,\n", - " 67.72770643, 99.81371454, 74.00567366, 77.07694565,\n", - " 68.38967749, 66.99868798, 66.96538036, 44.96712812,\n", - " 36.28067413, 51.09489543, 57.61513176, 56.66710337,\n", - " 75.78665663, 74.54258024, 36.64681005, 42.7921928 ,\n", - " 63.58316287, 73.31560965, 73.60286616, 67.79440197,\n", - " 67.80805037, 71.99569547, 65.19174575, 71.8957024 ,\n", - " 71.06706427, 87.39404873, 65.41802999, 37.56164296,\n", - " 74.29878068, 40.35718528, 24.90297967, 75.32602054,\n", - " 56.11845271, 50.34975173, 50.78897324, 33.82436163,\n", - " 121.22947842, 123.203761 , 91.13152051, 67.26555113,\n", - " 66.405536 , 72.69774341, 71.62290725, 72.99618741,\n", - " 77.25982529, 76.67991935, 64.33317917, 109.06114623,\n", - " 18.09923857, 19.42086751, 48.21431143, 75.74399203,\n", - " 70.03962114, 20.01943732, 39.18840782, 50.4355274 ,\n", - " 73.53994861, 70.19775187, 37.71551752, -9.29307291,\n", - " 73.51865162, 64.1262554 , 76.92733336, 64.21220307,\n", - " 71.28395612, 71.99784459, 67.22251437, 75.12115106,\n", - " 43.85087215, 33.23616851, 74.28679657, 68.26511653,\n", - " 76.99292609, 129.35371752, 60.83666224, 68.62323579,\n", - " 30.76944202, 17.8214723 , 76.26419636, 74.37242956,\n", - " 74.429417 , 74.91583953, 53.85861879, 48.7016968 ,\n", - " 64.86271107, 55.3222573 , 56.00770671, 112.25544224,\n", - " 51.7437301 , 49.88854484, 53.93707123, 20.88299094,\n", - " 21.09769685, 69.83297519, 64.90384967, 77.48985598,\n", - " 77.08771802, 20.78672584, 21.04328337, 45.31988877,\n", - " 76.89121423, 75.21311617, 30.59236382, 71.5714585 ,\n", - " 76.42905778, 72.60549407, 58.41367381, 53.66656986,\n", - " 69.53773513, 75.40314343, 75.79553805, 75.27044139,\n", - " 74.93201271, 40.84954816, 75.38068662, 76.73409755,\n", - " 61.48980624, 108.7722682 , 53.39601556, 71.47686795,\n", - " 72.55435034, 51.19955723, 71.44007 , 74.8815627 ,\n", - " 51.68915163, 68.18783272, 112.38065826, 119.46126901,\n", - " 121.48608608, 100.53125761, 39.95688534, 38.98873209,\n", - " 61.52332117, 74.53274196, 75.56296542, 74.30547315,\n", - " 103.29198193, 75.63668649, 74.02357018, 46.6892219 ,\n", - " 99.28753555, 64.49732022, 66.40696826, 76.10500706,\n", - " 60.48910984, 21.8649542 , 111.67706768, 68.94601605,\n", - " 52.721697 , 43.96855101, 60.04211944, 64.58035264,\n", - " 65.74772739, 56.35861747, 127.52047971, 74.56372606,\n", - " 71.77080431, 65.92493192, 24.4925691 , 69.19824741,\n", - " 73.75637331, 66.37677297, 56.99746792, 40.82292231,\n", - " 22.54031331, 67.02100936, 28.05875163, 60.76641381,\n", - " 80.11072139, 76.70368674, 71.00682036, 66.27305596,\n", - " 67.02228018, 69.01368935, 69.6119898 , 44.96091056,\n", - " 68.55394388, 62.59719153, 59.89926716, 66.29428797,\n", - " 115.57279513, 98.1788828 , 55.75691015, 64.53422166,\n", - " 136.19569132, 63.91845785, 66.34011742, 65.84651982,\n", - " 55.70211002, 72.74885457, 61.00338953, 76.68228338,\n", - " 124.61398073, 68.19387178, 72.50974025, 65.94958288,\n", - " 67.76944263, 65.20196331, 68.28979758, 67.56950963,\n", - " 57.09518536, 75.68218009, 56.63756464, 69.92184817,\n", - " 50.34616435, 40.11080045, 70.88564942, 65.06669379,\n", - " 65.93576068, 60.15567971, 70.74362331, 76.83461373,\n", - " 74.8171946 , 70.03375778, 49.76918292, 73.52135391,\n", - " 72.17576623, 69.85812961, 83.03488803, 103.56981325,\n", - " 74.03232986, 41.99564751, 68.94766288, 64.51444816,\n", - " 74.5751023 , 114.99279633, 45.96406614, 129.44980417,\n", - " 81.52259983, 49.17848285, 47.43284714, 120.97222815,\n", - " 68.72412372, 64.87536744, 75.73373864, 68.13995886,\n", - " 20.86097599, 20.4554751 , 68.87461372, 71.47234622,\n", - " 67.57503184, 75.11444596, 98.2513645 , 106.28780879,\n", - " 47.96100866, 122.13324993, 47.92002865, 73.99575156,\n", - " 74.01818633, 74.44602552, 66.05681221, 49.37980511,\n", - " 75.64463281, 66.40367137, 70.81006291, 72.62447464,\n", - " 77.72303927, 70.24192384, 61.50122078, 68.12325789,\n", - " 60.47204142, 63.25902701, 54.04788152, 67.73901483,\n", - " 67.81610845, 67.42494407, 76.11676696, 50.76988049,\n", - " 24.71304489, 49.69098465, 95.29219341, 20.30601698,\n", - " 31.84084622, 52.07858331, 67.43101367, 37.73625493,\n", - " 59.83639721, 59.83590888, 49.40002991, 64.9755058 ,\n", - " 63.11483209, 73.6152332 , 73.0180158 , 46.23511334,\n", - " 40.78863443, 75.48153015, 75.16610863, 68.74025276,\n", - " 29.5192187 , 74.70483884, 69.84123353, 68.12813694,\n", - " 110.93074313, 69.21134733, 69.93742046, 58.51756137,\n", - " 76.44721842, 19.58817533, 34.63027944, 72.83479255,\n", - " 47.05380689, 71.07207382, 68.72509618, 27.57510584,\n", - " 72.29493213, 54.77596766, 89.1942113 , 67.36071129,\n", - " 63.91857402, 40.60371277, 102.97214886, 21.86224701,\n", - " 40.94771477, 71.5259153 , 22.67471883, 50.78179589,\n", - " 27.90277785, 55.77440192, 33.68334852, 73.10838576,\n", - " 94.11128349, 79.69011906, 47.66223023, 46.64603051,\n", - " 66.33302805, 84.8927388 , 70.38420053, 21.20655942,\n", - " 75.37327644, 43.70914756, 72.86355136, 100.58478933,\n", - " 74.39892513, 73.3662412 , 66.82673546, 51.45153007,\n", - " 74.03375631, 69.4475704 , 69.84688005, 23.77942477,\n", - " 112.65178565, 89.00807201, 63.93175731, 64.17997422,\n", - " 72.90534047, 74.48306388, 92.38988279, 68.31969004,\n", - " 64.53011915, 74.06046568, 124.646859 , 66.88323985,\n", - " 48.05104508, 61.67178241, 75.6387888 , 100.36026044,\n", - " 33.42036828, 46.40603566, 54.56162513, 58.31302717,\n", - " 68.19099804, 75.47412565, 70.26220924, 67.37839303,\n", - " 48.87989042, 65.9770767 , 67.77113082, 67.15110653,\n", - " 107.09856136, 64.61769114, 47.34999793, 63.82886399,\n", - " 76.54249146, 21.92587403, 24.66915795, 65.51471952,\n", - " 64.4165277 , 64.31646194, 45.89353496, 47.89923216,\n", - " 73.36478169, 61.69917666, 66.01701061, 70.68303019,\n", - " 75.40044914, 47.63949996, 66.39622489, 28.95728637,\n", - " 55.53448158, 63.61573489, 74.18627012, 72.54083932,\n", - " 39.3770535 , 39.72787379, 61.10632723, 26.33884597,\n", - " 72.56515517, 77.11625798, 73.28622533, 72.61545676,\n", - " 77.25980418, 49.38130097, 24.58188631, 51.79575138,\n", - " 59.40467225, 98.86432116, 47.86251754, 62.6253158 ,\n", - " 61.20126954, 42.57826798, 63.23833091, 60.95462334,\n", - " 54.83341768, 67.13673536, 58.65267773, 53.65167661,\n", - " 127.54396383, 28.1272577 , 42.27076809, 108.6525876 ,\n", - " 93.33119305, 58.85536729, 74.03232925, 43.66668657,\n", - " 28.72567368, 53.04428374, 40.86084068, 60.40201886,\n", - " 69.55701553, 36.65167128, 66.1279075 , 63.9270294 ,\n", - " 71.50921045, 74.96570936, 108.97691572, 74.86667581,\n", - " 54.82001996, 39.58675182, 63.55897865, 72.07860928,\n", - " 70.89940045, 64.28410024, 113.03794305, 65.75956299,\n", - " 94.64105994, 71.35784586, 64.99480403, 65.68679581,\n", - " 67.43793401, 42.99217653, 63.6438373 , 63.67676476,\n", - " 74.81314779, 70.42759226, 69.65069039, 76.73609686,\n", - " 51.16985404, 134.94606193, 69.87405438, 54.78085975,\n", - " 47.3487257 , 62.44695673, 60.63260365, 52.67567283,\n", - " 74.95946705, 130.26888787, 61.79621142, 71.47763535,\n", - " 50.11748449, 64.6831983 , 66.16859264, 38.15462457,\n", - " 72.84161648, 5.08554279, 69.68264564, 75.66821943,\n", - " 61.52474634, 76.21602004, 64.94994207, 66.75435279,\n", - " -1.6634491 , 37.18889309, 32.00446499, 76.68427649,\n", - " 59.83821382, -0.43272462, -0.796659 , 78.66889794,\n", - " 36.42644736, 32.56710359, 59.77567872, -0.74664311,\n", - " -17.45253326, 118.58422638, 50.09859011, 39.99 ,\n", - " 115.58861105, 116.146502 , 1.72776122, 115.9439873 ,\n", - " 116.8650003 , 30.16618737, 152.65113885, 77.25856222,\n", - " 76.95631437, -0.46507206, 167.59113793, -6.31620484,\n", - " 24.19315691, 159.25967363, 118.70452255, 100.43311244,\n", - " 50.09859014, 71.56979393, 115.58861066, 116.14650221,\n", - " 0. , 0. , 60.86710858, 74.0003043 ,\n", - " 46.194113 , 64.28530411, 36.33182329, 39.26544978,\n", - " 26.77547469, 33.15887377, 53.88644457, 42.34070704,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 43.61071431, 46.46130763, 61.12158761, 34.69431999,\n", - " 75.62449918, 75.75844619, 76.70898508, 73.76941467,\n", - " 56.33685825, 24.20927798, 74.31536804, 75.64113937,\n", - " 54.6620509 , 68.42109959, 68.71247557, 70.21273324,\n", - " 45.25022952, 50.76125767, 55.80282159, 66.88305236,\n", - " 70.68658361, 69.69312523, 66.44182124, 49.47729343,\n", - " 76.14747659, 74.79036879, 66.30384125, 69.78148935,\n", - " 43.25037549, 142.44531754, 68.13574151, 71.53701534,\n", - " 75.78011756, 33.0761778 , 66.88723481, 39.21899269,\n", - " 59.11106224, 49.55287859, 15.61966878, 30.11482232,\n", - " 61.28831677, 63.63614651, 65.89420764, 59.122125 ,\n", - " 76.70223464, 63.33766458, 67.13565052, 75.07884195,\n", - " 76.68320113, 54.47899344, 74.11576782, 73.30177908,\n", - " 70.40431458, 76.53305569, 39.41198721, 71.84240132,\n", - " 71.65084724, 108.50754699, 91.70140397, 55.00850914,\n", - " 65.9010087 , 56.34355422, 38.75818233, 38.6745788 ,\n", - " 51.17154298, 57.6056206 , 37.88916902, 35.44812828,\n", - " 62.62703324, 342.01683286, 50.12163299, 57.95794405,\n", - " 69.64532587, 70.17737495, 67.60280518, 57.18130988,\n", - " 8.91073703, 68.59573735, 64.91692498, 37.99185653,\n", - " 48.84158278, 96.70268328, 84.71728216, 102.68455403,\n", - " 76.29289369, 75.76155539, 63.89436022, 69.5728501 ,\n", - " 69.60375714, 20.69931945, 15.18086043, 49.78295153,\n", - " 48.77284417, 46.87251876, 95.08360404, 81.20498187,\n", - " 76.03913543, 76.04884135, 10.23286636, 45.36602461,\n", - " 89.36526035, 106.52557489, 52.18730595, 91.20635308,\n", - " 66.69796158, 66.24655278, 38.99872562, 72.02065208,\n", - " 74.16898244, 70.68707879, 73.43794232, 69.15018297,\n", - " 122.62833228, 41.71051236, 30.79000577, 123.62237223,\n", - " 76.46176785, 116.9314864 , 109.99112222, 127.91024371,\n", - " 93.72267141, 35.75659948, 37.19748176, 43.93057641,\n", - " 47.24196493, 141.46640426, 80.42158027, 79.94421075,\n", - " 62.67163865, 59.43635274, 68.5968819 , 61.12754066,\n", - " 72.5357709 , 72.22669486, 43.53563548, 45.77252188,\n", - " 58.13083132, 72.21609757, 74.91255687, 74.91012944,\n", - " 88.254471 , 86.10305973, 41.56217661, 47.9755844 ,\n", - " 69.23594054, 74.14380141, 74.00491439, 42.33688989,\n", - " 44.99319206, 111.28338685, 51.41025828, 47.66097968,\n", - " 119.36834493, 53.09352582, 96.82277964, 68.92166568,\n", - " 64.33252501, 65.13330184, 72.37217318, 21.7713552 ,\n", - " 22.55329172, 75.3758283 , 47.02967472, 42.60128799,\n", - " 48.80461867, 48.80188829, 127.6352526 , 109.88792322,\n", - " 64.22459485, 73.82424066, 60.17085588, 65.7621523 ,\n", - " 64.84919244, 52.3912266 , 40.90856983, 75.57967839,\n", - " 76.35031799, 53.27261208, 53.18001167, 71.44521742,\n", - " 76.17400752, 59.19946569, 67.51254543, 75.70382684,\n", - " 73.68624062, 30.07157598, 54.8065447 , 49.47708814,\n", - " 54.16332511, 41.78482461, 39.71365218, 68.19884048,\n", - " 32.17754243, 74.09734878, 77.35430103, 75.56180953,\n", - " 62.37772976, 66.50655823, 51.11303657, 69.9566126 ,\n", - " 76.14211434, 51.1674728 , 65.45296071, 67.25000706,\n", - " 133.93486316, 66.65954958, 66.5544103 , 57.74853653,\n", - " 68.19399657, 74.81963594, 75.36241418, 58.82426365,\n", - " 56.43598198, 94.01879496, 59.16698458, 39.58558838,\n", - " 76.15607083, 76.15690356, 54.17450852, 53.6342967 ,\n", - " 59.07355355, 30.07811081, 53.68601883, 94.67437404,\n", - " 58.1871599 , 64.95561789, 53.3185396 , 52.7230054 ,\n", - " 63.7999225 , 60.14953528, 48.45072441, 54.14165082,\n", - " 90.75470016, 89.10783508, 73.31783733, 65.8685924 ,\n", - " 47.88779385, 65.54457244, 70.88422075, 96.92919092,\n", - " 75.89950962, 74.29351917, 62.69297014, 74.32956712,\n", - " 71.47154232, 91.03775629, 33.4583066 , 22.74819588,\n", - " 31.66305037, 64.90424674, 63.88189134, 140.5391644 ,\n", - " 82.44724718, 62.23252151, 73.21278455, 76.32566709,\n", - " 66.71757951, 74.59177168, 67.0810859 , 47.65815856,\n", - " 49.17129508, 63.81449755, 55.52589194, 56.06642546,\n", - " 67.96337526, 26.1158444 , 28.03034947, 38.63925453,\n", - " 74.91421907, 126.24375068, 54.14087211, 59.85282514,\n", - " 76.29370826, 49.52733266, 49.31471568, 63.52541355,\n", - " 66.43077644, 59.33472716, 58.62890514, 55.68909555,\n", - " 45.46545062, 68.31374966, 68.01992538, 69.61429265,\n", - " 74.10014837, 53.84326674, 66.61188219, 53.42825464,\n", - " 41.13489243, 39.35524267, 138.91328256, 106.87115161,\n", - " 33.82255952, 35.76582713, 89.0128516 , 76.92289944,\n", - " 49.29969038, 100.70528941, 34.57858786, 35.88311953,\n", - " 65.40418029, 70.08030816, 56.94497397, 73.01030295,\n", - " 75.48979628, 47.20392981, 50.0745112 , 72.90670141,\n", - " 88.57001676, 72.40870145, 66.81867698, 74.03708687,\n", - " 46.00628391, 45.58545891, 139.25968498, 139.51211897,\n", - " 72.1685777 , 37.21724642, 72.35613314, 60.09858423,\n", - " 48.78626829, 66.84039042, 34.71186057, 34.36838009,\n", - " 61.188663 , 41.3463254 , 65.59359104, 98.20813937,\n", - " 70.65832175, 71.83688195, 71.84892437, 110.90906271,\n", - " 65.92653176, 66.45076501, 57.00364852, 55.3113086 ,\n", - " 119.37348421, 116.11250223, 75.5685299 , 68.71482196,\n", - " 98.61860543, 83.62658978, 117.15571885, 90.97926866,\n", - " 68.96944469, 68.64936787, 72.32091545, 50.68847761,\n", - " 52.88709009, 28.92039574, 71.28414681, 73.22511623,\n", - " 33.89159695, 66.08959671, 67.45023558, 70.25976729,\n", - " 120.63352007, 115.73808511, 74.55927921, 64.24821955,\n", - " 69.14570955, 67.42685439, 73.5757516 , 72.53748881,\n", - " 75.46145719, 95.42430929, 105.80247863, 73.10700111,\n", - " 73.31519275, 74.51675473, 73.7692233 , 71.9442542 ,\n", - " 66.59395362, 74.0421538 , 61.01538597, 56.43945062,\n", - " 70.14350882, 61.61589062, 51.7279264 , 107.89862991,\n", - " 70.71445586, 63.31427235, 64.50990866, 74.94393848,\n", - " 45.3950169 , 28.4559904 , 4.41328599, 51.12880116,\n", - " 60.57879383, 89.78902217, 73.24091662, 73.83335457,\n", - " 60.50161706, 23.34370629, 46.65394647, 74.15675389,\n", - " 65.01617575, 69.21963286, 108.41125538, 71.39446349,\n", - " 74.4638811 , 72.93034573, 33.25725085, 73.3219178 ,\n", - " 66.85782984, 99.46545017, 73.28300118, 76.35423623,\n", - " 67.68749346, 66.27592671, 66.24261903, 44.28449453,\n", - " 35.55891564, 50.42179361, 56.8975888 , 55.79722678,\n", - " 75.13522843, 73.89115204, 35.87142857, 42.0143394 ,\n", - " 62.86153108, 72.5929284 , 72.79832119, 67.07164143,\n", - " 67.08528927, 71.27397474, 64.46862798, 71.17293249,\n", - " 70.34430933, 87.02459506, 64.78208903, 36.925702 ,\n", - " 73.57616713, 39.65808412, 24.20688496, 74.60318391,\n", - " 55.42889463, 49.62663311, 50.19160768, 33.15821182,\n", - " 121.22754875, 123.20183134, 90.87996642, 66.54367316,\n", - " 65.68364658, 71.9825297 , 70.54918361, 72.2809737 ,\n", - " 76.44785877, 75.86795284, 63.61046981, 108.80618064,\n", - " 17.40333931, 18.72496825, 47.49920331, 75.021307 ,\n", - " 68.9658975 , 19.32383722, 38.31853123, 49.83816184,\n", - " 72.82490881, 69.54551517, 37.11815195, -9.89043848,\n", - " 72.79599335, 63.40369262, 76.20450831, 63.48985656,\n", - " 70.626738 , 71.27498204, 66.49962877, 74.39943926,\n", - " 43.15177099, 32.53706735, 73.56410445, 67.54242177,\n", - " 76.27005702, 128.99393832, 60.14198651, 67.92856006,\n", - " 30.06548745, 17.11751773, 75.54144865, 73.71950839,\n", - " 73.70676374, 74.19318628, 53.16043664, 48.02859498,\n", - " 64.14001765, 54.62376306, 55.30921247, 112.00255266,\n", - " 51.14636454, 49.29117928, 53.24117198, 20.18388978,\n", - " 20.39859569, 69.11033408, 64.18217142, 76.76720272,\n", - " 76.29374458, 20.06496736, 20.32152488, 44.59813032,\n", - " 76.16812268, 74.49021527, 29.99088615, 70.92003029,\n", - " 75.70618817, 71.95406587, 57.76224561, 52.94481137,\n", - " 68.81578211, 74.68141161, 75.07380882, 74.5480654 ,\n", - " 74.21001111, 40.2521826 , 74.64849588, 76.01122712,\n", - " 60.76818644, 108.42400383, 52.61250629, 70.75427187,\n", - " 71.83200319, 50.60560184, 70.71825606, 74.15889038,\n", - " 51.09178607, 67.46512859, 111.6428195 , 119.45933934,\n", - " 121.48608608, 100.53125761, 39.35951976, 38.39136651,\n", - " 60.80759134, 73.80993776, 74.84016553, 73.58267172,\n", - " 102.92252833, 74.91388438, 73.30839767, 45.90571262,\n", - " 98.55534262, 63.775643 , 65.68425953, 75.2172417 ,\n", - " 59.78259707, 21.16581409, 111.67706768, 68.25035019,\n", - " 52.06267735, 43.27195268, 59.33330847, 63.85723156,\n", - " 65.02460681, 55.69794691, 127.15102893, 73.8410341 ,\n", - " 71.04882693, 65.22926606, 23.77101465, 68.48979012,\n", - " 73.03372703, 65.65417233, 56.29994249, 40.12382115,\n", - " 21.84121215, 66.29790196, 27.46138607, 60.03422088,\n", - " 79.12375241, 75.89917495, 70.29160665, 65.62029381,\n", - " 66.36951803, 68.37072239, 68.96902284, 44.22871763,\n", - " 67.9119142 , 61.95516185, 59.24908911, 65.30731899,\n", - " 115.56005722, 98.16614489, 55.06735207, 63.8982807 ,\n", - " 136.19376166, 63.19593975, 65.61747116, 65.14031819,\n", - " 54.9959084 , 72.02436396, 60.32641013, 75.95779277,\n", - " 124.60124281, 67.47119244, 71.85435973, 65.22790462,\n", - " 67.04776437, 64.48009019, 67.56712135, 66.84683339,\n", - " 56.40562728, 74.95950817, 55.94800656, 69.26935079,\n", - " 49.74879879, 39.51343487, 70.16388491, 64.34501554,\n", - " 65.21408243, 59.47767259, 69.76340704, 75.9409445 ,\n", - " 74.09450917, 69.03875687, 48.77418201, 72.53518863,\n", - " 71.4534979 , 69.13586128, 82.30269511, 103.22154888,\n", - " 73.31713497, 41.21779411, 68.22495889, 63.82372266,\n", - " 73.9236741 , 114.99279633, 45.32812518, 129.44980417,\n", - " 81.15314623, 48.45558604, 46.70995032, 120.97222815,\n", - " 68.00141973, 64.15641901, 75.00154572, 67.40776594,\n", - " 20.16187483, 19.75637394, 68.23867275, 70.75656109,\n", - " 66.85238556, 74.3926795 , 97.99946413, 105.91835535,\n", - " 47.3636431 , 122.13324993, 47.24600243, 73.28065035,\n", - " 73.3030276 , 73.79071806, 65.3341688 , 48.78243955,\n", - " 74.92187584, 65.68199312, 70.08643408, 71.90429003,\n", - " 76.99672548, 69.25590327, 60.78548746, 67.40747572,\n", - " 59.75042174, 62.53740732, 53.17800493, 67.01666945,\n", - " 67.09355109, 66.70180533, 75.39401101, 50.17251493,\n", - " 24.0155861 , 48.96930743, 94.94392904, 19.60691582,\n", - " 31.18182656, 51.39785801, 66.70931823, 37.05552963,\n", - " 59.18621916, 59.18573083, 48.80266435, 64.25343009,\n", - " 62.3929697 , 72.90018669, 72.3029693 , 45.51199453,\n", - " 40.06551562, 74.75977217, 74.4434866 , 67.66652912,\n", - " 28.82298972, 73.98055966, 69.18834644, 67.13193178,\n", - " 110.93074313, 68.40553615, 69.28202997, 57.79861294,\n", - " 75.79191096, 18.99719161, 33.92051162, 72.10259963,\n", - " 46.34499592, 70.34930461, 68.00233291, 26.9249278 ,\n", - " 71.63955161, 54.05701923, 89.1942113 , 66.71627535,\n", - " 63.1960088 , 40.00634721, 102.97214886, 21.21081881,\n", - " 40.22595632, 70.81694691, 21.97561766, 50.04960297,\n", - " 27.19626508, 55.13846096, 33.04740755, 72.29641925,\n", - " 93.37909275, 79.43821869, 46.93933341, 45.91383758,\n", - " 65.61064004, 84.54447443, 69.31047689, 20.52787312,\n", - " 74.65150969, 42.98625075, 71.87738608, 100.23652496,\n", - " 73.74361767, 72.71093374, 66.10359606, 50.73258164,\n", - " 73.31855778, 68.72589215, 69.19460937, 23.05766628,\n", - " 112.63904774, 88.63862076, 63.21007906, 63.45829596,\n", - " 72.6534401 , 73.76034262, 92.03010359, 67.59701381,\n", - " 64.16066799, 73.40515822, 124.646859 , 66.1601727 ,\n", - " 47.32928659, 60.95683572, 74.91607512, 100.34752253,\n", - " 32.6449868 , 45.69038327, 53.77811585, 57.5911932 ,\n", - " 67.46930987, 75.10467443, 69.60629168, 66.65529415,\n", - " 48.18101516, 65.10720011, 67.0389379 , 66.42822093,\n", - " 107.03092666, 63.89601289, 46.36383265, 63.10678828,\n", - " 75.82078017, 21.20404006, 23.97169916, 64.7930526 ,\n", - " 63.69414281, 63.59478369, 45.1717765 , 47.3018666 ,\n", - " 73.01651731, 60.97755686, 65.29392706, 69.87720669,\n", - " 74.74453159, 46.91790539, 65.67455797, 28.18190489,\n", - " 54.80228866, 62.80992372, 73.82649092, 71.88076409,\n", - " 38.50717691, 39.00728797, 60.39144599, 25.64132054,\n", - " 71.8423533 , 76.46205922, 72.56357207, 71.8927612 ,\n", - " 76.44783767, 48.78393541, 23.88554971, 51.19838582,\n", - " 58.68979101, 98.51605679, 47.26515198, 61.91582075,\n", - " 60.48553492, 41.98431259, 62.52260395, 60.23889637,\n", - " 54.1438596 , 66.41941772, 57.93536009, 52.97857479,\n", - " 127.54396383, 27.35187623, 41.67340253, 107.91474884,\n", - " 93.33119305, 58.1658092 , 73.31713435, 43.06932101,\n", - " 28.00277686, 52.37118193, 40.26791245, 60.04223966,\n", - " 68.83430214, 35.93412831, 65.41085219, 63.2043038 ,\n", - " 70.78737603, 74.31428116, 108.97691572, 74.21495178,\n", - " 54.13046188, 38.99279642, 62.83711072, 71.3600176 ,\n", - " 70.09358927, 63.47828906, 112.66849214, 65.03682551,\n", - " 94.64105994, 70.54665805, 64.27176041, 64.96367522,\n", - " 66.72214772, 42.39481097, 62.92862359, 62.96155106,\n", - " 74.16065762, 69.71794523, 68.92798647, 76.01438594,\n", - " 50.44717781, 134.94413227, 69.15826809, 54.05910126,\n", - " 46.62696721, 61.73179771, 59.90041072, 52.32740846,\n", - " 74.23678266, 130.2669582 , 61.0804781 , 70.75154857,\n", - " 49.39580624, 63.96152005, 65.44691439, 37.557259 ,\n", - " 72.11892507, 4.49455907, 68.96060302, 74.94550586,\n", - " 61.28519115, 75.1422964 , 64.22826485, 66.03267557,\n", - " -1.6634491 , 36.51526677, 31.23113177, 76.01019052,\n", - " 59.18873833, -0.43281044, -0.79674543, 78.01404008,\n", - " 35.76423866, 31.8832173 , 59.07209161, -1.29392144,\n", - " -18.0432347 , 118.21477547, 49.36639937, 39.99 ,\n", - " 114.8485104 , 115.48968293, 1.72776122, 115.28683085,\n", - " 116.12399949, 29.48830821, 152.58350414, 76.53750214,\n", - " 76.2304386 , -0.46533353, 167.33588494, -7.010209 ,\n", - " 23.48846837, 158.87335049, 118.46437045, 100.06365877,\n", - " 49.3663994 , 71.33027154, 114.84851001, 115.48968314,\n", - " 0. , 0. , 60.86799829, 73.75346171,\n", - " 46.194113 , 64.28530411, 35.98424919, 38.18296607,\n", - " 26.77547469, 32.91939888, 53.88644457, 42.34070704,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 41.99382799, 43.6058307 , 59.74073842, 33.31080304,\n", - " 74.47725111, 74.61143085, 75.56213009, 72.61936442,\n", - " 55.17691294, 23.04897246, 73.15361009, 74.47944713,\n", - " 52.57283099, 67.27154643, 67.56664392, 69.06690158,\n", - " 43.52576522, 49.26467112, 54.65554273, 65.73578159,\n", - " 69.53640122, 68.54301083, 65.29618916, 48.03826302,\n", - " 74.98559301, 73.62909172, 65.15827687, 68.65867259,\n", - " 42.12006728, 142.07695159, 66.16647089, 70.40921389,\n", - " 74.65205583, 31.91470478, 65.6530777 , 38.05752001,\n", - " 57.94036003, 48.38213419, 14.45819474, 28.95334883,\n", - " 59.96121626, 62.30903256, 64.65788929, 57.81700992,\n", - " 75.56364994, 63.09580965, 65.89725574, 75.07629492,\n", - " 75.54191484, 51.61905829, 72.96605424, 72.15205696,\n", - " 69.26242984, 75.39392389, 38.08451592, 70.51598993,\n", - " 70.32438166, 107.7382498 , 91.43964571, 54.23874539,\n", - " 64.76642321, 55.07602818, 37.14354512, 37.05885589,\n", - " 50.01007288, 56.44393078, 36.43731391, 33.99034698,\n", - " 61.46558253, 340.78707403, 48.9601676 , 56.79646855,\n", - " 68.56402242, 69.0960715 , 66.47967456, 55.94267966,\n", - " 7.67208238, 67.45987302, 63.77290944, 36.37693767,\n", - " 48.46794019, 95.75823523, 83.77281821, 102.68194478,\n", - " 75.16194 , 74.63046181, 62.73291201, 68.44884124,\n", - " 68.47859702, 19.53784481, 14.01938612, 48.34384141,\n", - " 47.61137822, 45.71104888, 94.1460781 , 80.2674474 ,\n", - " 74.90000356, 74.90970948, 8.80780609, 43.94100299,\n", - " 87.65752913, 105.32096662, 50.16703461, 90.00158745,\n", - " 65.53592033, 65.08446172, 37.38361917, 70.89928147,\n", - " 73.03529302, 69.55626597, 72.32480196, 68.03699014,\n", - " 121.57141006, 39.62441288, 28.70497593, 122.48662843,\n", - " 75.34863117, 116.90390185, 109.96351027, 126.93534639,\n", - " 92.58685771, 33.75928548, 35.19441541, 41.87385459,\n", - " 45.18891034, 141.10842961, 79.6606236 , 79.18313363,\n", - " 60.52033459, 57.2280952 , 67.27066912, 59.80047304,\n", - " 71.41617828, 71.10673896, 41.9148172 , 44.15498521,\n", - " 56.52973572, 70.89155204, 73.76454863, 73.76186244,\n", - " 87.83263014, 85.67912298, 40.04808697, 46.3763296 ,\n", - " 68.1104073 , 72.98526604, 72.84693035, 40.73579315,\n", - " 43.5529177 , 110.85487093, 49.97053102, 46.42961076,\n", - " 118.27054668, 49.90348457, 95.46732614, 67.80809329,\n", - " 63.23289267, 64.0358084 , 71.21086264, 20.5876319 ,\n", - " 21.36336589, 74.22728089, 45.51637988, 41.08311914,\n", - " 47.20325068, 47.20040183, 127.20235564, 109.4527927 ,\n", - " 63.12436902, 72.66292979, 58.93352467, 64.52482079,\n", - " 63.74700594, 51.22975187, 39.74708612, 74.43566725,\n", - " 75.20806253, 52.11114522, 52.01854277, 70.16472915,\n", - " 75.01269207, 57.96040596, 66.27413164, 74.57304904,\n", - " 72.55567467, 28.89237952, 53.40150872, 48.07172704,\n", - " 52.88346312, 40.50496323, 38.56433139, 67.04900267,\n", - " 31.03014197, 73.01685759, 76.27474559, 74.41172382,\n", - " 61.19516881, 65.32399725, 48.27325257, 68.81447872,\n", - " 75.00018164, 47.97846412, 64.29987834, 66.01508467,\n", - " 133.9176949 , 65.49761355, 65.39244122, 56.44347977,\n", - " 66.88909516, 73.67871751, 74.22147078, 56.55739303,\n", - " 54.20372905, 92.23142277, 57.28117813, 37.57125527,\n", - " 74.99427712, 74.99513194, 51.88475362, 51.34864016,\n", - " 57.68676673, 28.69011305, 52.52454618, 93.61655319,\n", - " 56.78207164, 63.4254844 , 52.15706519, 51.56153071,\n", - " 62.63848338, 58.91047248, 47.0093776 , 52.72037632,\n", - " 89.55873617, 87.91339115, 72.08233638, 64.71955185,\n", - " 46.47871343, 64.39513 , 69.72261681, 95.58476209,\n", - " 74.75520943, 73.14354507, 61.54289344, 73.17964572,\n", - " 70.32153144, 89.83916685, 32.07477916, 21.33886504,\n", - " 30.27952071, 63.7544556 , 62.73218188, 140.17079745,\n", - " 80.91685608, 60.85613121, 72.06454619, 75.1772015 ,\n", - " 65.5675254 , 73.43052254, 65.9310567 , 46.52536465,\n", - " 48.03848842, 61.8437366 , 53.55497827, 54.90388047,\n", - " 66.8023155 , 24.73122185, 26.59330486, 37.20178228,\n", - " 73.76239628, 125.87555004, 52.99349432, 58.70544818,\n", - " 75.16290676, 47.91044113, 47.69781866, 62.31576297,\n", - " 65.26880111, 58.09486752, 56.4766591 , 53.53294079,\n", - " 44.18558934, 67.0845742 , 66.79076183, 68.4867325 ,\n", - " 72.9699856 , 52.69323773, 65.44984602, 52.2781449 ,\n", - " 39.9734207 , 38.19377094, 138.54165566, 106.48033132,\n", - " 32.67518135, 34.61844913, 87.05626335, 74.95574239,\n", - " 48.09001315, 99.13858192, 33.36847278, 34.25175675,\n", - " 64.21191018, 68.88803794, 55.472266 , 71.86032892,\n", - " 74.33982316, 45.69076579, 48.55915549, 71.75916794,\n", - " 86.86574084, 71.26119539, 65.67142527, 72.89596575,\n", - " 44.85889164, 44.43806646, 139.20166423, 139.45349388,\n", - " 71.02108557, 36.00756904, 71.24227028, 58.9512069 ,\n", - " 47.18410407, 65.67829936, 33.1857478 , 32.86340046,\n", - " 59.86157023, 39.73540888, 64.43149801, 97.77311552,\n", - " 69.51031106, 70.68866444, 70.70088833, 109.71744639,\n", - " 64.77917971, 65.30448719, 55.84217321, 54.14983329,\n", - " 118.27472072, 115.01368756, 74.4199932 , 67.55271567,\n", - " 97.32491989, 82.33228905, 115.95861955, 89.78125487,\n", - " 67.81988034, 67.49980985, 71.17181408, 48.47940303,\n", - " 51.64842978, 27.68173523, 70.0866707 , 72.07509391,\n", - " 31.65921041, 64.94005346, 66.30057005, 69.11780547,\n", - " 119.46135694, 114.59008469, 73.40952507, 63.10085949,\n", - " 67.99614141, 66.27730895, 72.42606957, 71.38999867,\n", - " 74.31639196, 93.51169894, 103.88772427, 71.86954487,\n", - " 72.07927388, 73.36684496, 72.61934761, 70.79675969,\n", - " 65.4444103 , 72.88073157, 59.7355252 , 55.20080321,\n", - " 68.98211341, 60.45442374, 49.66611033, 105.83662343,\n", - " 69.58380363, 61.16286329, 63.12888852, 73.79420692,\n", - " 43.33393151, 26.37956012, 3.17462511, 49.06855003,\n", - " 58.63961894, 87.74317869, 72.1364172 , 72.73008565,\n", - " 58.94219603, 21.95401061, 45.09228018, 72.99544673,\n", - " 63.85486737, 68.45376089, 107.64329955, 70.20219327,\n", - " 73.30210862, 71.76857325, 32.09673531, 72.08618042,\n", - " 65.72763691, 98.96228463, 72.13298907, 75.20760868,\n", - " 66.3441581 , 65.12705243, 65.09374521, 42.01490537,\n", - " 34.39743183, 47.23239141, 55.68792022, 54.66491436,\n", - " 73.99925797, 72.7552593 , 34.51476238, 40.68424374,\n", - " 61.69902163, 71.44591468, 71.66900996, 65.92276128,\n", - " 65.93641355, 70.1123374 , 63.32291088, 70.02440575,\n", - " 69.19553886, 85.32002899, 63.54365451, 35.68726719,\n", - " 72.42641153, 37.57198394, 22.21696283, 73.45555201,\n", - " 54.02398466, 48.48091782, 48.6859335 , 31.71998339,\n", - " 121.20558297, 123.18068316, 90.45570589, 65.3844648 ,\n", - " 64.52456209, 70.74682462, 69.47970441, 71.04526805,\n", - " 75.31983014, 74.73992331, 62.46097832, 108.43455237,\n", - " 16.01865769, 17.33980622, 45.99761761, 73.87155286,\n", - " 67.89639727, 17.93967588, 37.174296 , 48.22147813,\n", - " 71.58743601, 68.41595001, 35.62544614, -11.38314444,\n", - " 71.64848568, 62.25420121, 75.0568799 , 62.33698515,\n", - " 69.54174816, 70.12749138, 65.35220442, 73.23766766,\n", - " 41.0668548 , 30.45597617, 72.41440587, 66.39274535,\n", - " 75.12305559, 128.41884738, 58.72843425, 66.51500777,\n", - " 28.12479269, 15.17631479, 74.39291195, 72.59543086,\n", - " 72.56089607, 73.04732049, 51.09081643, 45.17184324,\n", - " 62.99031515, 52.55706848, 53.24238869, 111.57410239,\n", - " 49.65050181, 47.79476143, 51.86271829, 18.10345615,\n", - " 18.3161976 , 67.96381513, 63.02006574, 75.62179746,\n", - " 75.1629464 , 18.90349266, 19.16005022, 43.43665863,\n", - " 75.0223418 , 73.34311614, 28.56536971, 69.78396718,\n", - " 74.55893671, 70.81800313, 56.62622848, 51.78333667,\n", - " 67.65746801, 73.51985871, 73.91221819, 73.39521644,\n", - " 73.05228505, 38.63527154, 72.60196308, 74.86397589,\n", - " 59.60556758, 107.85124358, 51.34497323, 69.6043238 ,\n", - " 70.67878143, 49.15181908, 69.55794167, 73.0088764 ,\n", - " 49.59624747, 66.31558899, 109.90890285, 119.43174644,\n", - " 120.30741797, 99.3491561 , 37.86809214, 36.89959537,\n", - " 59.57786333, 72.66197557, 73.69218084, 72.43468105,\n", - " 101.36262678, 73.76592982, 72.07229568, 44.63817944,\n", - " 96.62885737, 62.61222367, 64.53476381, 74.10864732,\n", - " 57.92449331, 19.07625812, 111.24243669, 66.8697296 ,\n", - " 49.81743464, 41.25640795, 58.02824884, 62.71152658,\n", - " 63.87889835, 53.43903115, 126.44140527, 72.69133473,\n", - " 69.89080815, 63.8483396 , 22.60778609, 67.18450961,\n", - " 71.88592956, 64.50525074, 54.93038161, 38.03493389,\n", - " 19.74815326, 65.15210835, 25.8440051 , 58.11666738,\n", - " 78.04498428, 74.76985311, 69.055901 , 64.49442136,\n", - " 65.24345591, 67.17845215, 67.77675259, 42.225652 ,\n", - " 66.71352444, 60.75676816, 57.86460303, 64.22853338,\n", - " 115.47463839, 98.07473066, 53.661991 , 62.65961277,\n", - " 136.17892473, 62.04577753, 64.46986991, 63.26990973,\n", - " 53.10223208, 70.88511233, 58.91369815, 74.81863593,\n", - " 124.51987713, 66.32126636, 70.75104811, 64.06579737,\n", - " 65.8856571 , 63.32081585, 66.41712374, 65.6968352 ,\n", - " 55.00026179, 73.80953052, 54.54264052, 68.14181734,\n", - " 48.25293982, 38.02072908, 69.00252175, 63.18290841,\n", - " 64.05197518, 57.1817616 , 68.68249446, 74.83409872,\n", - " 72.94475664, 67.96263891, 47.69806403, 71.45600384,\n", - " 70.29924802, 67.98161133, 80.3751552 , 101.92948577,\n", - " 72.08126835, 39.88769802, 67.07541931, 62.35052402,\n", - " 72.78761134, 114.01776764, 44.08945722, 128.54817495,\n", - " 79.59313563, 47.30820825, 45.56257254, 119.78794382,\n", - " 66.85188014, 62.82973977, 73.03210557, 65.43829842,\n", - " 18.07999713, 17.67404608, 67.00094036, 69.52738546,\n", - " 65.7046287 , 73.23136678, 97.56756888, 104.38816471,\n", - " 45.76406716, 120.99674091, 45.79295139, 72.04380211,\n", - " 72.06678101, 72.68744912, 64.18653953, 47.18010919,\n", - " 73.77340384, 64.51989859, 68.94446007, 70.72490927,\n", - " 75.86147025, 68.17683269, 59.55579708, 66.1782705 ,\n", - " 58.58780235, 61.37478794, 52.04516376, 65.86403617,\n", - " 65.94398091, 65.55623758, 74.2455204 , 48.66702192,\n", - " 21.95682425, 47.80533356, 93.59822125, 17.52025561,\n", - " 28.93646568, 49.13723447, 65.54723637, 34.79481158,\n", - " 57.79900512, 57.7984956 , 47.20121156, 63.09692679,\n", - " 61.23355551, 71.66278048, 71.06556309, 44.36627973,\n", - " 38.91979584, 73.59835538, 73.29383131, 66.61746059,\n", - " 26.82567066, 72.84097576, 68.06399645, 66.05623579,\n", - " 110.48600428, 67.27701246, 68.17954044, 56.47128527,\n", - " 74.68864192, 17.56103777, 32.19604141, 70.13361277,\n", - " 45.03993376, 69.20062177, 66.85351057, 25.53770508,\n", - " 70.53615634, 52.72969135, 87.99969489, 65.53371437,\n", - " 62.04655391, 38.5008412 , 101.78786189, 20.07480101,\n", - " 39.06448259, 69.5167399 , 19.84663528, 48.07868437,\n", - " 25.33755569, 53.89981326, 31.80875655, 71.16840035,\n", - " 91.28908759, 79.00295168, 45.79193656, 43.94288875,\n", - " 64.45856867, 83.25075011, 68.24330883, 18.23691768,\n", - " 73.49020512, 41.8388539 , 70.79376944, 99.66341058,\n", - " 72.6403487 , 71.60766477, 64.9580584 , 49.40521861,\n", - " 72.0827296 , 67.56378489, 68.06527565, 21.89618141,\n", - " 112.55455187, 87.71034717, 62.04790827, 62.29605096,\n", - " 72.2154359 , 72.61116512, 91.27616653, 66.44701785,\n", - " 63.2634401 , 72.30167454, 123.5486062 , 65.01407268,\n", - " 46.1678119 , 59.71834626, 73.76681797, 100.25858883,\n", - " 31.28830167, 44.21559156, 52.51057857, 56.43142083,\n", - " 66.30733454, 74.18558918, 68.50879783, 65.50943421,\n", - " 46.11781036, 63.97760458, 65.0715459 , 65.28079658,\n", - " 106.85021373, 62.73376589, 45.26598242, 61.95028498,\n", - " 74.65900246, 20.04426743, 21.91468797, 63.63086582,\n", - " 62.54202456, 62.43253673, 44.01030107, 45.80600762,\n", - " 72.50324628, 59.81493799, 64.14795101, 68.74872765,\n", - " 73.64703753, 45.75504989, 64.51237119, 26.82521577,\n", - " 52.83136592, 61.68139353, 73.06549275, 70.79946065,\n", - " 37.37029047, 37.83282337, 59.15238317, 24.27175949,\n", - " 70.69431771, 75.34893049, 71.41725435, 70.74309512,\n", - " 75.31980812, 47.18166996, 21.88087762, 49.70252419,\n", - " 57.45072822, 96.82811588, 45.7519239 , 60.62090258,\n", - " 59.25586018, 40.53245669, 61.29284512, 59.00913755,\n", - " 52.73849852, 65.20750474, 56.7234471 , 49.78918609,\n", - " 126.57672748, 25.99489384, 40.15931279, 106.18057833,\n", - " 92.19081479, 56.76044317, 72.08126771, 41.57345894,\n", - " 26.85539867, 49.1817597 , 38.82872202, 59.28799001,\n", - " 67.68490487, 34.7242917 , 64.19598517, 62.05500073,\n", - " 69.62734311, 73.16470923, 107.87813105, 73.08044084,\n", - " 52.72510606, 37.53863871, 61.67776584, 70.16254149,\n", - " 68.96500178, 62.344331 , 111.88936984, 63.88766458,\n", - " 93.43565801, 69.41937526, 63.12512049, 63.81700748,\n", - " 65.49298413, 40.89794338, 61.69291782, 61.72584514,\n", - " 73.03021561, 68.42455895, 67.77844691, 74.85260383,\n", - " 49.29579077, 134.92258931, 67.92907158, 52.88572048,\n", - " 45.45327812, 60.49547936, 57.92941658, 51.75394805,\n", - " 73.08702593, 130.24541508, 59.85078772, 69.62073552,\n", - " 48.23347107, 62.79942124, 64.28466699, 36.0641584 ,\n", - " 70.96923924, 3.03963816, 67.80350926, 73.79624775,\n", - " 61.04322653, 74.07109325, 63.06496194, 64.87058431,\n", - " -1.6634491 , 35.05428031, 29.85379641, 73.28060309,\n", - " 57.80566567, -0.43295073, -0.79688527, 76.93943351,\n", - " 34.33617547, 29.67849462, 57.47203848, -2.90655071,\n", - " -19.47844454, 117.43565317, 47.34390593, 39.99 ,\n", - " 113.13742375, 113.69701034, 1.72776122, 113.50085311,\n", - " 114.42199647, 27.17806858, 152.40322401, 75.39888141,\n", - " 75.09589207, -0.46577633, 166.97432429, -9.03710176,\n", - " 21.9475834 , 158.07872119, 118.22040965, 98.49695128,\n", - " 47.34390595, 71.03186838, 113.13742336, 113.69701055,\n", - " 0. , 0. , 60.86605945, 73.50592905,\n", - " 46.194113 , 64.28530411, 35.63515063, 37.13703682,\n", - " 26.77547469, 32.67833445, 53.88644457, 42.34070704,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 38.31472374, 36.01453019, 56.81162239, 30.37297869,\n", - " 72.36243505, 72.49705714, 73.44830679, 70.49498682,\n", - " 53.01843154, 20.88925197, 70.98897786, 72.31504337,\n", - " 47.16652801, 65.14886747, 65.45694986, 66.95720749,\n", - " 39.5144005 , 46.00274721, 52.54026313, 63.6205284 ,\n", - " 67.41157063, 66.4184139 , 63.18719909, 44.70931955,\n", - " 72.82054454, 71.46614663, 63.04952566, 66.90749832,\n", - " 40.34443883, 141.40720121, 61.46011409, 68.52240978,\n", - " 72.76259598, 29.75109838, 63.2382577 , 35.89391473,\n", - " 55.74662699, 46.18826345, 12.29458501, 26.78974093,\n", - " 57.25611316, 59.60388561, 62.2355944 , 55.15660731,\n", - " 73.48094861, 62.8267212 , 63.30275547, 75.05252121,\n", - " 73.44613832, 44.01320493, 70.84282514, 70.02879592,\n", - " 67.1667794 , 73.30908174, 35.37820249, 67.81313633,\n", - " 67.6213512 , 106.08739537, 91.13289484, 52.58636796,\n", - " 62.82256907, 52.68757627, 33.25158933, 33.1633561 ,\n", - " 47.84647599, 54.27961667, 33.06906863, 30.60275694,\n", - " 59.30204866, 338.38743281, 46.79658607, 54.63285409,\n", - " 66.52436318, 67.05641226, 64.64444838, 53.34741086,\n", - " 5.07673386, 65.22685651, 61.51118865, 32.48406251,\n", - " 47.97434888, 93.53564131, 81.55017239, 102.65796794,\n", - " 73.22134491, 72.68309124, 60.56938627, 66.25701887,\n", - " 66.28278778, 17.37423316, 11.85577553, 45.01478681,\n", - " 45.44779486, 43.5474527 , 91.94607979, 78.06742126,\n", - " 72.81516119, 72.82486711, 5.54216015, 40.67548325,\n", - " 82.94337645, 101.38878938, 45.29420891, 86.06889653,\n", - " 63.37029758, 62.9186678 , 33.49013169, 68.71658582,\n", - " 70.9731073 , 67.49510432, 70.17056103, 65.88257795,\n", - " 118.12132123, 34.3984951 , 23.48254974, 118.77924399,\n", - " 73.19440225, 116.82564156, 109.88516055, 123.75300971,\n", - " 88.87924511, 28.82932415, 30.24640306, 36.75197602,\n", - " 40.07900263, 140.47259934, 77.98906331, 77.51118014,\n", - " 55.10022686, 51.63153195, 64.56846383, 57.09547732,\n", - " 69.23963226, 68.928937 , 38.00268471, 40.25356477,\n", - " 52.90170896, 68.19478916, 71.64711158, 71.64353251,\n", - " 86.99659773, 84.83624897, 36.48434652, 42.53458629,\n", - " 65.91335215, 70.83165502, 70.69520249, 37.10776264,\n", - " 40.22247524, 109.99762008, 46.64074073, 44.02439092,\n", - " 114.68702708, 41.22007287, 91.7688303 , 65.65244211,\n", - " 61.12517666, 61.93543737, 69.04780826, 18.34710838,\n", - " 19.101429 , 72.10797835, 41.95523387, 37.50606301,\n", - " 43.35460934, 43.35137376, 126.33094588, 108.57429146,\n", - " 61.01461343, 70.49987435, 56.50764681, 62.09894197,\n", - " 61.63050659, 49.06613994, 37.5834449 , 72.33157622,\n", - " 73.10997347, 49.94755901, 49.85494988, 67.61251055,\n", - " 72.84962165, 55.52855699, 63.84453437, 72.63757438,\n", - " 70.62586418, 26.6674836 , 50.36917829, 45.03833536,\n", - " 50.30984487, 37.93134695, 36.44281616, 64.92516251,\n", - " 28.91489527, 70.97758507, 74.23592007, 72.28723047,\n", - " 58.79765754, 62.9264859 , 40.7331783 , 66.71785729,\n", - " 72.90360897, 39.29842299, 62.16491668, 63.59761719,\n", - " 133.87551464, 63.33235699, 63.22707031, 53.78291168,\n", - " 64.22843807, 71.5863876 , 72.1290548 , 50.77864035,\n", - " 48.53264975, 88.11882878, 52.73845727, 32.60898752,\n", - " 72.82952164, 72.83045266, 46.0342244 , 45.51134348,\n", - " 54.65585966, 25.65525315, 50.36094105, 90.16353096,\n", - " 53.7495706 , 60.04046174, 49.99345433, 49.39791892,\n", - " 60.47498715, 56.4786135 , 43.68309046, 49.46708823,\n", - " 85.65477624, 84.01439314, 69.66286401, 62.59863874,\n", - " 43.43656362, 62.27283351, 67.55850858, 91.92225385,\n", - " 72.65013273, 71.01943539, 59.41844883, 71.05570861,\n", - " 68.19729378, 85.92663671, 29.13692056, 18.29589775,\n", - " 27.3416549 , 61.63096765, 60.60897118, 139.5010438 ,\n", - " 76.78158997, 57.94704895, 69.94631932, 73.05827154,\n", - " 63.44314848, 71.26767384, 63.80676113, 44.74162217,\n", - " 46.25470434, 57.13251492, 48.84325806, 52.7364935 ,\n", - " 64.64005252, 21.78978851, 23.26737093, 33.87501137,\n", - " 71.63192565, 125.20633928, 50.87832164, 56.59027821,\n", - " 73.22754425, 44.01112666, 43.79848625, 59.98572223,\n", - " 63.10340842, 55.6602246 , 51.05347645, 48.096999 ,\n", - " 41.61197341, 64.68696514, 64.39319417, 66.28260313,\n", - " 70.75736056, 50.56894879, 63.284241 , 50.15359243,\n", - " 37.80981849, 36.03016872, 137.86771079, 105.74482849,\n", - " 30.5600074 , 32.50327571, 82.39130528, 70.25628484,\n", - " 45.75988543, 94.88477001, 31.03691579, 30.52581201,\n", - " 61.78016604, 66.45629347, 52.2888206 , 69.73621948,\n", - " 72.21571665, 42.13004681, 44.99128225, 69.6433928 ,\n", - " 82.1628672 , 69.14552009, 63.55623579, 70.80276519,\n", - " 42.74367166, 42.32284591, 139.06254987, 139.31304625,\n", - " 68.90546459, 33.67744082, 69.52032405, 56.8360357 ,\n", - " 43.3328636 , 63.51250544, 29.79823007, 29.54542851,\n", - " 57.15649243, 35.85559847, 62.26570036, 96.89336669,\n", - " 67.39288396, 68.57051423, 68.5833689 , 105.82767848,\n", - " 62.66409101, 63.19321308, 53.67855938, 51.98621944,\n", - " 114.68805032, 111.42685011, 72.30072875, 65.38687473,\n", - " 93.8280519 , 78.83341292, 112.05095364, 85.87060383,\n", - " 65.69716273, 65.3771141 , 69.05066257, 42.88017272,\n", - " 49.05306277, 25.08636754, 67.7986496 , 69.95081672,\n", - " 25.98769499, 62.81740897, 64.17750805, 67.0218546 ,\n", - " 115.63508966, 110.84269124, 71.28615146, 60.98574464,\n", - " 65.87341069, 64.15465662, 70.30294883, 69.27438049,\n", - " 72.20939269, 88.99029702, 99.35932372, 69.44328018,\n", - " 69.65835138, 71.24279835, 70.49541751, 68.68112606,\n", - " 63.32176546, 70.71729013, 57.16191091, 52.60547827,\n", - " 66.81877057, 58.29083746, 44.65767142, 100.82756296,\n", - " 67.65285331, 55.74241279, 60.19974416, 71.67091667,\n", - " 38.18966671, 21.18520533, 0.57925624, 43.92767599,\n", - " 53.91732569, 82.78687877, 70.0119601 , 70.60987823,\n", - " 55.46157068, 18.99654689, 41.60432569, 70.83240339,\n", - " 61.69182007, 66.76615568, 105.94889207, 67.77044876,\n", - " 71.13742635, 69.60389097, 29.93639251, 69.66588779,\n", - " 63.95238479, 98.04589436, 70.00874729, 73.09456553,\n", - " 63.54328679, 63.00671118, 62.97340555, 36.22727861,\n", - " 32.23379027, 38.55106574, 53.35782076, 52.88274363,\n", - " 71.76589525, 70.52215027, 31.82750906, 38.0861481 ,\n", - " 59.53176256, 69.33156782, 69.76074272, 63.80239935,\n", - " 63.81606722, 67.9481163 , 61.21362258, 67.90521769,\n", - " 67.07552366, 80.61620826, 60.94902453, 33.09263626,\n", - " 70.3028948 , 32.34606387, 17.31007524, 71.33942349,\n", - " 50.99206559, 46.37163728, 45.14966344, 28.52109878,\n", - " 121.1456639 , 123.123433 , 89.61177498, 63.22851454,\n", - " 62.36904038, 68.32665124, 68.32549029, 68.62509282,\n", - " 73.43127867, 72.85136893, 60.33851345, 107.76060307,\n", - " 13.0682269 , 14.38780722, 42.71937504, 71.74817925,\n", - " 66.74211452, 14.99974809, 35.35320586, 44.32284202,\n", - " 69.16111374, 66.20485209, 32.13150849, -14.87708258,\n", - " 69.532469 , 60.13147446, 72.94073808, 60.20274284,\n", - " 67.48428149, 68.01187789, 63.23685618, 71.07298843,\n", - " 35.84479961, 25.24640688, 70.29122869, 64.26964616,\n", - " 73.00904966, 127.35400463, 55.70124394, 63.48781735,\n", - " 23.39753816, 10.44740145, 72.2736475 , 70.40338434,\n", - " 70.4502419 , 70.93667244, 45.92274416, 37.57638141,\n", - " 60.86712806, 47.39736961, 48.08226808, 110.71706386,\n", - " 46.14625908, 44.28870662, 48.9326172 , 12.8960333 ,\n", - " 13.10236217, 65.85105333, 60.85422679, 73.51265272,\n", - " 73.22765536, 16.73988085, 16.99643852, 41.27305655,\n", - " 72.91278964, 71.22886025, 25.29823475, 67.55030198,\n", - " 72.44411763, 68.58433912, 54.39271337, 49.61972483,\n", - " 65.50459777, 71.35593563, 71.74816626, 71.26109311,\n", - " 70.90143818, 34.73589329, 67.64341302, 72.74915885,\n", - " 57.43792514, 106.70767673, 48.95649843, 67.48014243,\n", - " 68.54337962, 45.77728143, 67.3982414 , 70.88462814,\n", - " 46.09306279, 64.19295609, 105.97695613, 119.35345887,\n", - " 116.45991663, 95.49044719, 34.37832689, 33.40870875,\n", - " 57.17832892, 70.54470203, 71.57482498, 70.31730888,\n", - " 97.13103107, 71.6486768 , 69.65073754, 42.24970422,\n", - " 92.06216389, 60.44209381, 62.41228382, 72.44098629,\n", - " 53.47315455, 13.83972493, 109.82367997, 63.94188954,\n", - " 44.09701846, 36.26854284, 55.36767137, 60.60228489,\n", - " 61.76964424, 47.6820997 , 124.98534147, 70.56815463,\n", - " 67.73895403, 60.91950108, 20.43801018, 64.52242697,\n", - " 69.76893545, 62.38446718, 52.03310036, 32.79991605,\n", - " 14.49951806, 63.04254854, 21.94309295, 53.57912966,\n", - " 76.68038677, 72.86147762, 66.63572576, 62.29625893,\n", - " 63.04467435, 64.74670759, 65.34500801, 37.40897883,\n", - " 64.26018025, 58.30341113, 54.8381171 , 62.86387879,\n", - " 115.24608913, 97.8266107 , 50.62859942, 60.06422087,\n", - " 136.14227621, 59.92076345, 62.35351582, 58.77801348,\n", - " 48.53438306, 68.79987901, 55.8553328 , 72.73371203,\n", - " 124.30455844, 64.19731995, 68.6308632 , 61.89995327,\n", - " 63.71981297, 61.16463962, 64.29293729, 63.57264687,\n", - " 51.96685578, 71.68539966, 51.50923274, 65.93778859,\n", - " 44.74870937, 34.52679151, 66.83928705, 61.01706474,\n", - " 61.88613109, 51.31135591, 67.29688938, 73.18438618,\n", - " 70.82138911, 66.62335804, 46.3587831 , 70.08837125,\n", - " 68.16032106, 65.84268415, 75.80501906, 98.43791384,\n", - " 69.6605273 , 37.28960098, 64.95278617, 59.13173224,\n", - " 70.5539473 , 110.83500213, 41.49406521, 125.60500579,\n", - " 75.36118394, 45.19303555, 43.44739984, 115.92210956,\n", - " 64.72924701, 60.12601181, 68.32519533, 60.73129888,\n", - " 12.86786042, 12.46043992, 64.40860234, 67.12977584,\n", - " 63.58776749, 71.06830084, 96.69803266, 100.25355299,\n", - " 41.92127556, 117.2868586 , 42.56454429, 69.61965267,\n", - " 69.64472088, 70.56724164, 62.07008736, 43.32832643,\n", - " 71.65436933, 62.35409606, 66.84846622, 68.49942397,\n", - " 73.79320581, 66.80928055, 57.15639315, 63.78055776,\n", - " 56.42015791, 59.2071435 , 50.26126705, 63.73057661,\n", - " 63.82098519, 63.44748087, 72.12642293, 45.13134326,\n", - " 16.82828647, 45.63339352, 89.93153811, 12.29250749,\n", - " 23.21566373, 43.38003666, 63.38150618, 29.03730525,\n", - " 54.76361437, 54.76303568, 43.35229341, 60.9502428 ,\n", - " 59.07689936, 69.23669023, 68.63947284, 42.25700114,\n", - " 36.81050104, 71.4349316 , 71.17065984, 65.52987259,\n", - " 21.89569283, 70.75420348, 65.87100596, 64.72083229,\n", - " 109.03425268, 65.37471992, 66.06201131, 53.76544066,\n", - " 72.56843408, 14.23695631, 28.1846574 , 65.4281822 ,\n", - " 42.37934802, 67.08092241, 64.73334316, 22.50228602,\n", - " 68.41569838, 50.02384605, 84.10046029, 63.136203 ,\n", - " 59.92395172, 34.96512009, 97.92201904, 17.84128373,\n", - " 36.90087386, 66.87234326, 14.48073575, 43.36694807,\n", - " 20.88423997, 51.30448742, 29.21341992, 69.27988067,\n", - " 86.18863163, 78.12240907, 43.67670165, 39.23105376,\n", - " 62.32703764, 79.75375555, 67.09663895, 12.38246954,\n", - " 71.32716643, 39.72361897, 69.41167005, 98.51868775,\n", - " 70.52014112, 69.48745718, 62.84940117, 46.6992586 ,\n", - " 69.66212193, 65.39794079, 65.85499165, 19.73253639,\n", - " 112.32901538, 85.54055099, 59.88185682, 60.12975723,\n", - " 71.32595838, 70.48975096, 89.62752019, 64.3228368 ,\n", - " 61.19498542, 70.18076607, 119.96360283, 62.90342831,\n", - " 44.00420007, 57.28850199, 71.64512783, 100.01856605,\n", - " 28.60098651, 41.02534426, 50.12208997, 54.27353384,\n", - " 64.14194185, 72.04578623, 66.40842547, 63.39964006,\n", - " 40.96771499, 62.20430253, 60.3713214 , 63.16544834,\n", - " 106.44675955, 60.56746563, 43.83742061, 59.80360098,\n", - " 72.49430218, 17.88637964, 16.79186483, 61.46473701,\n", - " 60.41033369, 60.26623661, 41.84668676, 42.3017771 ,\n", - " 71.55386883, 57.64729554, 62.03774565, 66.84660543,\n", - " 71.54666449, 43.58657975, 62.34624236, 24.13788759,\n", - " 48.11961612, 59.77907981, 71.39379696, 68.75980143,\n", - " 35.57318884, 35.62426222, 56.7205241 , 21.3744777 ,\n", - " 68.57679979, 73.19472803, 69.30513107, 68.62003133,\n", - " 73.43125366, 43.33009907, 16.9276237 , 46.19828504,\n", - " 55.01886926, 92.04428843, 42.19099582, 57.99492816,\n", - " 56.85651013, 37.16420886, 58.89320388, 56.60949631,\n", - " 49.70510691, 62.86958357, 54.38552589, 41.10790449,\n", - " 123.41939832, 23.30660837, 36.59557203, 102.24780299,\n", - " 88.4683022 , 53.72703537, 69.66052658, 38.06921835,\n", - " 24.74022467, 40.50036863, 35.49940526, 57.63832328,\n", - " 65.56275607, 32.39364368, 61.84784977, 59.93318503,\n", - " 67.46860591, 70.88694749, 104.29139149, 70.85238091,\n", - " 49.69173163, 34.16287709, 59.52134792, 67.87452039,\n", - " 67.062501 , 60.42429915, 110.20644359, 61.76633776,\n", - " 89.50089003, 67.53223809, 61.01266441, 61.70462204,\n", - " 63.09541635, 37.39042052, 59.27274217, 59.30566902,\n", - " 70.81667903, 65.80391908, 65.65581371, 72.68788835,\n", - " 47.16706885, 134.86405047, 65.53139631, 50.68324386,\n", - " 43.24979512, 58.07318445, 53.2174337 , 50.60809568,\n", - " 70.96364247, 130.18687569, 57.45138379, 67.55957312,\n", - " 46.066883 , 60.63360471, 62.11836543, 32.56893205,\n", - " 68.84610212, -0.34570424, 65.65481876, 71.67455431,\n", - " 60.77386943, 72.91125171, 60.89521212, 62.70478962,\n", - " -1.6634491 , 31.79834456, 27.09695093, 66.09281503,\n", - " 54.7820892 , -0.43322454, -0.79715594, 74.91050519,\n", - " 31.16053226, 24.10002626, 53.84738191, -6.97087401,\n", - " -22.80021393, 115.75272692, 42.46382701, 39.99 ,\n", - " 109.28234462, 109.31938698, 1.72776122, 109.14645481,\n", - " 110.5975015 , 21.26185586, 152.00118258, 73.30830768,\n", - " 73.02899935, -0.46666188, 166.33272382, -14.06219403,\n", - " 18.51230859, 156.38329926, 117.94616351, 94.24313937,\n", - " 42.46382704, 70.57819075, 109.28234422, 109.31938719,\n", - " 0. , 0. , 60.8478709 , 73.24570523,\n", - " 46.194113 , 64.28530411, 35.23509445, 36.07788428,\n", - " 26.77547469, 32.41201258, 53.88644457, 42.34070704,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 37.05608736, 34.85986264, 55.5630393 , 29.12439559,\n", - " 71.04367912, 71.17870016, 72.12991741, 69.17676483,\n", - " 51.70248434, 19.57338426, 69.67333108, 70.99937902,\n", - " 46.07466702, 63.83054857, 64.13761187, 65.63786949,\n", - " 38.23902373, 44.70949925, 51.22197276, 62.30223803,\n", - " 66.09337614, 65.10020456, 61.86779854, 26.51666356,\n", - " 71.50490575, 70.15035363, 61.73010383, 65.95102487,\n", - " 39.38796538, 141.37185369, 60.24593377, 67.38489474,\n", - " 71.62241651, 28.43533273, 61.93991564, 34.57814909,\n", - " 54.43086127, 44.87249773, 10.97881933, 25.47397527,\n", - " 55.9500629 , 58.29783534, 60.93777651, 53.8756755 ,\n", - " 72.15785357, -7.25211118, 55.7508055 , 75.03622245,\n", - " 72.12759035, 42.85853738, 69.52453981, 68.71051541,\n", - " 65.84607862, 71.98637642, 34.07215223, 66.50708606,\n", - " 66.31530093, 105.88773681, 91.06393879, 52.38670941,\n", - " 61.62926694, 51.4903361 , 16.19719338, 16.10896015,\n", - " 46.5307104 , 52.96385108, 15.15331807, 12.68700639,\n", - " 57.98628345, 337.08805635, 45.48082053, 53.31708837,\n", - " 64.35124195, 64.88329103, 63.5606769 , 45.79546089,\n", - " -2.47521611, 61.47553174, 57.46158219, 15.42966657,\n", - " 47.83486147, 93.33598207, 81.35051315, 102.64166918,\n", - " 72.01593515, 71.47177958, 59.25362111, 62.87094847,\n", - " 62.86291604, 16.05846745, 10.54000984, 26.83814015,\n", - " 44.13202932, 42.23168711, 91.74642058, 77.86776205,\n", - " 71.49245587, 71.50216179, -10.49806246, 24.63526064,\n", - " 82.74371321, 61.89814745, 44.08002733, 46.5782546 ,\n", - " 62.05473371, 61.60311472, 16.43573575, 65.40674523,\n", - " 69.64310511, 66.11793782, 67.09643905, 62.80845598,\n", - " 78.6306793 , 33.1613493 , 22.24540395, 79.28860206,\n", - " 70.12028028, 116.80696092, 109.86647991, 84.26236778,\n", - " 49.38860318, 27.59876377, 29.01562823, 35.51890559,\n", - " 38.8459322 , 140.43725181, 77.8179069 , 77.34002373,\n", - " 53.88101241, 50.4260466 , 63.26241356, 55.78942706,\n", - " 65.98102478, 65.65993309, 20.94828876, 23.19916883,\n", - " 51.64192639, 66.88873889, 70.32853317, 70.32501572,\n", - " 86.96914543, 84.80879667, 19.42995057, 25.48019035,\n", - " 62.4885134 , 69.5153713 , 69.37881264, 35.84798007,\n", - " 22.30672468, 109.98263105, 28.60239096, 42.72541581,\n", - " 75.19638515, 40.06540532, 91.62934288, 62.57832014,\n", - " 58.41548635, 59.28067846, 67.73201526, 17.03669836,\n", - " 17.79247786, 70.78953415, 24.90083793, 20.45166706,\n", - " 26.3002134 , 26.29697782, 126.31453971, 108.55392717,\n", - " 58.28948923, 69.18408135, 55.21015792, 60.80145308,\n", - " 58.85367091, 47.75037422, 36.26767918, 71.01256104,\n", - " 71.79057491, 48.63179326, 48.53918414, 66.30340535,\n", - " 71.53382866, 54.23147985, 62.54728159, 71.44160244,\n", - " 69.43701823, 25.35600957, 49.13999965, 43.80915672,\n", - " 49.02337497, 36.64487705, 35.12399095, 63.60713346,\n", - " 27.59607007, 68.791546 , 72.03500544, 70.96900848,\n", - " 53.33094155, 57.45976991, 39.57851064, 65.39733034,\n", - " 71.58371819, 38.14375544, 60.84756039, 62.2994613 ,\n", - " 133.85607086, 62.0167647 , 61.9114862 , 52.50236418,\n", - " 62.94852756, 70.2654831 , 70.80815579, 49.59278318,\n", - " 47.3342661 , 86.90464893, 51.47642944, 31.3469597 ,\n", - " 71.51388304, 71.51480895, 44.86101198, 44.33677709,\n", - " 53.48189299, 24.48128648, 49.04517532, 50.67288903,\n", - " 52.52039195, 58.81424031, 48.67768861, 48.0821532 ,\n", - " 59.15922223, 55.18153636, 26.62868793, 33.42686562,\n", - " 46.1641343 , 44.5237512 , 68.36485216, 61.28020367,\n", - " 42.21640119, 60.95448829, 66.24283499, 91.78276644,\n", - " 71.33117814, 69.70118951, 58.10020296, 69.73746126,\n", - " 66.8790578 , 46.43599478, 27.88833746, 17.07573533,\n", - " 26.0930718 , 60.31269014, 59.29068 , 139.46569627,\n", - " 76.58192712, 56.69517381, 68.62779081, 71.73969313,\n", - " 62.12490863, 69.95187426, 62.48852128, 43.78514872,\n", - " 45.29823089, 55.9183346 , 47.62907774, 51.42107722,\n", - " 63.32429072, 20.54120541, 4.70363322, 15.36937965,\n", - " 70.31409161, 125.17099176, 49.55949643, 55.271453 ,\n", - " 72.03201279, 26.95673071, 26.7440903 , 58.68141846,\n", - " 61.78782602, 54.36337124, 49.83426201, 46.87778456,\n", - " 40.32550351, 63.38743095, 63.09365684, 62.79119845,\n", - " 67.26595587, 49.25070291, 61.96867567, 48.83534656,\n", - " 36.49405287, 34.71440311, 137.8444425 , 105.74448395,\n", - " 29.24118219, 31.1844505 , 81.17712496, 69.04210452,\n", - " 44.45558166, 94.68510677, 29.73261203, 29.26823941,\n", - " 55.95297609, 60.62910351, 50.99375531, 68.41797361,\n", - " 70.89747078, 25.07565087, 27.93688631, 68.32467623,\n", - " 81.96320397, 67.82679133, 62.2379435 , 69.48208637,\n", - " 41.42484645, 41.0040207 , 139.02973332, 139.27983701,\n", - " 67.5867257 , 32.37313706, 68.5638506 , 55.51721049,\n", - " 26.27846766, 62.19695236, 28.53319779, 28.27885796,\n", - " 55.85044216, 18.80120252, 60.95014458, 96.86959873,\n", - " 66.07428545, 67.25197528, 67.26478185, 66.33703655,\n", - " 61.3452658 , 61.87402204, 52.36279366, 50.67045372,\n", - " 75.19740839, 71.93620818, 70.98228068, 64.07131895,\n", - " 93.68856448, 78.6939255 , 72.56031171, 46.3799619 ,\n", - " 64.37884649, 64.05879635, 67.73227446, 41.67468737,\n", - " 41.5011128 , 17.53441757, 66.4914891 , 68.63258349,\n", - " 24.78931134, 61.4990874 , 62.85920991, 65.70120758,\n", - " 76.14444773, 71.35204931, 69.9678809 , 59.66691943,\n", - " 64.55509537, 62.83633591, 68.98465665, 67.95564561,\n", - " 70.88982459, 87.7761167 , 98.1451434 , 68.14577312,\n", - " 68.36044553, 69.9247288 , 69.17734127, 67.36239258,\n", - " 62.00344407, 69.40152567, 55.87544101, 45.0535283 ,\n", - " 65.50299229, 56.9750717 , 43.44348976, 99.6133813 ,\n", - " 66.45930917, 54.52319834, 58.9509047 , 70.35263451,\n", - " 36.95252091, 19.94805953, -6.97269373, 42.69033073,\n", - " 52.66184278, 81.57269711, 67.17380879, 67.80640681,\n", - " 54.23534925, 17.74770743, 40.37810426, 69.51661039,\n", - " 60.37602708, 66.59499927, 105.77773566, 61.94325881,\n", - " 69.82178284, 68.28824747, 28.62044531, 68.36793578,\n", - " 62.99591134, 97.90640694, 68.69051147, 71.77613076,\n", - " 62.28001499, 61.68823952, 61.65493376, 35.04142143,\n", - " 30.91802455, 37.39639819, 52.053517 , 51.92627017,\n", - " 68.01468475, 66.77093976, 30.62750443, 36.88698404,\n", - " 58.21633188, 68.01320586, 68.59846613, 62.48392951,\n", - " 62.497596 , 66.63244756, 59.89424672, 66.58671729,\n", - " 65.75706427, 80.41654502, 53.39707456, 25.54068629,\n", - " 68.98479147, 31.10891808, 16.07978034, 70.02074522,\n", - " 49.76288695, 45.05225934, 28.09526749, 27.35368791,\n", - " 121.12698327, 123.10475237, 89.58432268, 61.91240927,\n", - " 61.05290458, 67.02868401, 68.01152044, 67.32712559,\n", - " 72.29231069, 71.71240096, 59.02017863, 107.73733478,\n", - " 11.82195243, 13.14153275, 41.42612708, 70.42990869,\n", - " 66.42814467, 13.751165 , 34.39673241, 27.26844607,\n", - " 67.86361102, 62.65145271, 15.0771121 , -31.93147896,\n", - " 68.2141765 , 58.81347026, 71.62208639, 58.88534787,\n", - " 65.14643 , 66.69313604, 61.91805887, 69.75734472,\n", - " 34.60765382, 24.00926109, 68.97293964, 62.95135017,\n", - " 71.69027934, 127.18284822, 54.45756042, 62.24413383,\n", - " 22.14205525, 9.19191854, 70.95519943, 67.01731393,\n", - " 69.13188668, 69.61831723, 44.68813578, 36.42171386,\n", - " 59.54883572, 46.16186506, 46.84676352, 110.70209399,\n", - " 29.09186314, 27.23431068, 47.68634273, 11.65888751,\n", - " 11.86521638, 64.53275507, 59.53867101, 72.19429751,\n", - " 72.03222746, 15.42411513, 15.68067281, 39.95729093,\n", - " 71.59347721, 69.91002018, 9.25801214, 63.7990915 ,\n", - " 71.12535317, 64.83312864, 50.64150288, 48.3039591 ,\n", - " 64.18828963, 70.04023861, 70.43247644, 69.94363535,\n", - " 69.58499882, 17.68149734, 66.42923135, 71.43039289,\n", - " 56.12252675, 106.56818931, 47.75925826, 66.16208518,\n", - " 67.22600001, 27.86153087, 66.0823158 , 69.56639277,\n", - " 29.03866675, 62.87463485, 104.76469567, 119.33477823,\n", - " 76.9692747 , 55.99980526, 17.32393034, 16.35431224,\n", - " 55.87894469, 69.2261076 , 70.25624106, 68.99872159,\n", - " 96.93136795, 70.33008694, 68.35287843, 41.05246405,\n", - " 90.84798357, 59.1265406 , 61.0939506 , 71.54098497,\n", - " 52.20870773, 12.60237967, 70.33303804, 62.69305008,\n", - " 42.98812057, 35.0372341 , 54.08712387, 59.28290087,\n", - " 60.45026146, 46.56935058, 124.78568309, 69.24986599,\n", - " 66.42258005, 59.67066162, 19.12278816, 63.24272106,\n", - " 68.45068067, 61.06635759, 50.78242898, 31.56277026,\n", - " 13.26237227, 61.72319853, 4.888697 , 52.36494934,\n", - " 76.09342036, 71.69910374, 65.33775853, 58.87142018,\n", - " 59.61983561, 58.91951763, 59.51781805, 36.19479851,\n", - " 58.20294238, 52.24617327, 53.66621751, 62.27691239,\n", - " 115.21327258, 97.79379415, 49.39942077, 52.5122709 ,\n", - " 136.12359558, 58.60288325, 61.03525476, 57.51461523,\n", - " 47.27098481, 67.4771737 , 54.64012783, 71.41100672,\n", - " 124.27174189, 62.87906566, 65.84580616, 60.58439749,\n", - " 62.4042572 , 59.84854773, 62.97469142, 62.25440099,\n", - " 50.73767714, 70.36716505, 50.28005409, 62.44816675,\n", - " 27.69431343, 17.47239512, 65.52350506, 59.70150897,\n", - " 60.57057532, 50.1404419 , 66.68863904, 72.30302026,\n", - " 69.50311755, 66.06168712, 45.79711218, 69.49890594,\n", - " 66.84315584, 64.52551893, 74.59083873, 98.29842643,\n", - " 68.36260806, 36.09043692, 63.63446526, 57.9038299 ,\n", - " 66.80273682, 71.3443602 , 33.94211524, 86.11436385,\n", - " 75.16152082, 43.87421035, 42.12857463, 76.43146763,\n", - " 63.41092608, 58.81996155, 67.11101501, 59.51711856,\n", - " 11.63071463, 11.22329413, 56.85665237, 65.83024164,\n", - " 62.26951102, 69.75251358, 96.6742647 , 100.05389014,\n", - " 24.86687962, 77.79621666, 41.37713038, 68.32198506,\n", - " 68.34689877, 67.76377096, 60.75183392, 26.27393048,\n", - " 70.33589794, 61.03854028, 65.52782298, 67.18793466,\n", - " 72.46624956, 66.21932514, 55.85699945, 62.48103162,\n", - " 55.10475984, 57.89174543, 49.3047936 , 62.41317543,\n", - " 62.50299601, 62.12805283, 70.80795442, 28.07694732,\n", - " 15.59521604, 44.3178403 , 89.79205069, 11.05536169,\n", - " 22.10676585, 42.19993762, 62.06591065, 27.8572062 ,\n", - " 53.59171477, 53.59113609, 26.29789746, 59.63358935,\n", - " 57.76083693, 67.93916951, 67.34195212, 40.93762274,\n", - " 35.49112263, 70.11916729, 69.8525339 , 65.21590274,\n", - " 20.66513246, 69.43199204, 62.4766317 , 64.16294884,\n", - " 69.54361075, 64.21472551, 63.27878347, 52.4593904 ,\n", - " 69.76496266, -4.43509571, 26.90928064, 64.21400188,\n", - " 41.09880052, 65.76242712, 63.41486534, 21.33038643,\n", - " 65.63064133, 48.71779578, 44.60981836, 57.66948702,\n", - " 58.60594074, 17.91072414, 58.43137711, 14.09007325,\n", - " 35.58510824, 65.59125723, 13.24358996, 42.15276775,\n", - " 19.61979315, 43.75253745, 21.66146995, 68.1409127 ,\n", - " 84.97444997, 78.09864111, 42.35787645, 38.01687344,\n", - " 61.00951839, 79.61426813, 66.7826691 , 11.20925712,\n", - " 70.01137835, 38.40479377, 68.82220474, 98.37920033,\n", - " 67.71667045, 66.68398651, 61.52997131, 45.39320833,\n", - " 68.36419293, 64.08238501, 62.30992591, 18.41677067,\n", - " 112.29619883, 85.34089182, 58.56630104, 58.81420145,\n", - " 71.30219042, 69.17138067, 89.45636378, 63.00459093,\n", - " 60.99532639, 67.3772954 , 80.4729609 , 61.58417862,\n", - " 42.68843435, 55.99124921, 70.32677757, 99.9857495 ,\n", - " 27.40098188, 39.73027898, 48.92484979, 52.95754898,\n", - " 62.82635944, 71.84612711, 63.75366656, 62.08031127,\n", - " 39.73117816, 61.24782908, 59.15714108, 61.84665103,\n", - " 106.32821923, 59.25190985, 43.24795531, 58.48694754,\n", - " 71.17865987, 16.57039477, 15.5587944 , 60.14921161,\n", - " 59.09282308, 58.95068083, 40.53092115, 25.24738116,\n", - " 71.41438141, 56.33189715, 60.7184551 , 65.68665005,\n", - " 68.89190557, 42.27124945, 61.03071696, 22.93788296,\n", - " 46.9054358 , 58.6190854 , 71.22264055, 66.5866802 ,\n", - " 34.61671539, 34.31167667, 55.42344695, 20.12380632,\n", - " 67.25821265, 70.12069554, 67.98677586, 67.3017332 ,\n", - " 72.29228569, 26.27570313, 15.69684887, 29.1438891 ,\n", - " 53.72179211, 91.90480102, 25.13659987, 56.7124197 ,\n", - " 55.55711289, 19.2484583 , 57.59382741, 55.31011985,\n", - " 48.47592827, 61.56588525, 53.08182757, 39.95323694,\n", - " 83.92875639, 22.10660375, 19.54117608, 101.03554253,\n", - " 48.97766027, 52.49785672, 68.36260733, 21.01482241,\n", - " 23.42139946, 39.34570108, 17.3227586 , 57.46716687,\n", - " 64.2444096 , 31.08933992, 60.54486423, 58.6148074 ,\n", - " 66.15262417, 67.13573699, 64.80074956, 67.17413805,\n", - " 48.46255299, 16.24712653, 58.20527038, 66.56735989,\n", - " 65.9025066 , 59.26430475, 110.006785 , 60.44792884,\n", - " 50.0102481 , 66.38935841, 59.69347337, 60.38523926,\n", - " 61.79587903, 20.33602458, 57.97477495, 58.0077018 ,\n", - " 67.32527435, 64.52100014, 64.33749295, 71.37224706,\n", - " 45.84882298, 134.84536983, 64.23185899, 49.36747813,\n", - " 41.9340294 , 56.77536656, 52.00325338, 50.46860826,\n", - " 69.64537355, 130.16819505, 56.15199009, 66.18240662,\n", - " 44.75132722, 59.31804893, 60.80280965, 15.51453567,\n", - " 67.52781464, -19.01775626, 64.33826337, 70.3562043 ,\n", - " -9.29646262, 72.59728186, 59.5796589 , 61.3892364 ,\n", - " -1.6634491 , 30.61215032, 25.8962503 , 64.93461557,\n", - " 53.6112956 , -0.43340843, -0.79734128, 72.72115806,\n", - " 30.00303437, 22.9092435 , 52.58752534, -7.7642691 ,\n", - " -41.54542221, 115.55306833, 41.24964535, 0.49935807,\n", - " 108.07085377, 108.18196353, 1.72776122, 108.00800237,\n", - " 109.38631653, 20.09140108, 151.88264227, 71.99325386,\n", - " 71.70298238, -0.46769688, 166.29883579, -15.28542314,\n", - " 17.24832486, 156.13040591, 48.0305261 , 94.04347613,\n", - " 41.24964538, 0.49935825, 108.07085337, 108.18196374,\n", - " 0. , 0. , 60.83244226, 73.1728245 ,\n", - " 46.19407548, 64.28530411, 35.09893262, 35.79145334,\n", - " 26.77547469, 32.3284904 , 53.88644457, 42.34070704,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 3.09437565e+01, 2.24283902e+01, 5.07544962e+01, 2.43005007e+01,\n", - " 6.76439621e+01, 6.77800630e+01, 6.87322464e+01, 6.57603147e+01,\n", - " 4.82263313e+01, 1.60950578e+01, 6.61863739e+01, 6.75128207e+01,\n", - " 3.69745334e+01, 6.04170732e+01, 6.07467836e+01, 6.22470412e+01,\n", - " 3.15539274e+01, 3.93229115e+01, 4.78217827e+01, 5.89020945e+01,\n", - " 6.26761324e+01, 6.16833701e+01, 5.84781958e+01, 1.35994468e+01,\n", - " 6.80172087e+01, 6.66663407e+01, 5.83409169e+01, 6.32697981e+01,\n", - " 3.66636289e+01, 1.41101976e+02, 5.24902668e+01, 6.43349299e+01,\n", - " 6.85661407e+01, 2.49501586e+01, 5.80141422e+01, 3.10929769e+01,\n", - " 5.08925775e+01, 4.13339712e+01, 7.49363928e+00, 2.19887985e+01,\n", - " 5.15278982e+01, 5.38755934e+01, 5.69988898e+01, 4.95190182e+01,\n", - " 6.88138235e+01, -2.92429909e+01, 4.88653831e+01, 7.49650231e+01,\n", - " 6.87613951e+01, 3.04014100e+01, 6.61101016e+01, 6.52960217e+01,\n", - " 6.24796794e+01, 6.86386471e+01, 2.96478539e+01, 6.20888870e+01,\n", - " 6.18967901e+01, 1.03515129e+02, 9.08253415e+01, 5.00114164e+01,\n", - " 5.84280424e+01, 4.75521609e+01, 2.78412377e+00, 2.68964290e+00,\n", - " 4.30455530e+01, 4.94774293e+01, 2.28719838e+00, -2.13215766e-01,\n", - " 5.45012373e+01, 3.33188914e+02, 4.19956903e+01, 4.98319000e+01,\n", - " 6.08506898e+01, 6.13827389e+01, 6.06348256e+01, 3.89086837e+01,\n", - " -9.36213387e+00, 5.69287966e+01, 5.27306737e+01, 2.01497622e+00,\n", - " 4.71978415e+01, 8.99554659e+01, 7.79699055e+01, 1.02570112e+02,\n", - " 6.88304992e+01, 6.82739680e+01, 5.57685893e+01, 5.85608254e+01,\n", - " 5.85305767e+01, 1.25732840e+01, 7.05482829e+00, 1.39276818e+01,\n", - " 4.06468958e+01, 3.87465310e+01, 8.84057378e+01, 7.45270302e+01,\n", - " 6.81447261e+01, 6.81544320e+01, -2.23549400e+01, 1.27786055e+01,\n", - " 7.49708774e+01, 3.26499077e+01, 3.60308906e+01, 1.73291093e+01,\n", - " 5.85660512e+01, 5.81141322e+01, 3.01996595e+00, 6.11469721e+01,\n", - " 6.63406869e+01, 6.28044387e+01, 6.29927853e+01, 5.87045003e+01,\n", - " 5.02323030e+01, 2.43353056e+01, 1.34255155e+01, 5.04366448e+01,\n", - " 6.60166477e+01, 1.16578910e+02, 1.09638272e+02, 5.63360060e+01,\n", - " 2.05362437e+01, 1.93074649e+01, 2.06956139e+01, 2.69019956e+01,\n", - " 3.02501254e+01, 1.40227171e+02, 7.53153961e+01, 7.48368197e+01,\n", - " 4.47931163e+01, 4.10753377e+01, 5.88453574e+01, 5.13674517e+01,\n", - " 6.17551199e+01, 6.14271409e+01, 7.49965007e+00, 9.76941419e+00,\n", - " 4.56158024e+01, 6.24812770e+01, 6.69242445e+01, 6.69191703e+01,\n", - " 8.63649570e+01, 8.41925474e+01, 6.59548479e+00, 1.21556393e+01,\n", - " 5.81517121e+01, 6.60477495e+01, 6.59144949e+01, 2.98218494e+01,\n", - " 9.50724676e+00, 1.09526402e+02, 1.57507616e+01, 3.88164877e+01,\n", - " 4.65627866e+01, 2.57086733e+01, 8.53424648e+01, 5.84721803e+01,\n", - " 5.45578166e+01, 5.54606921e+01, 6.42478096e+01, 1.34166472e+01,\n", - " 1.41348690e+01, 6.73819950e+01, 1.20709458e+01, 7.59372735e+00,\n", - " 1.29635019e+01, 1.29595846e+01, 1.25813468e+02, 1.07983682e+02,\n", - " 5.44212759e+01, 6.56998739e+01, 5.12649936e+01, 5.68562871e+01,\n", - " 5.49502948e+01, 4.42651903e+01, 3.27824436e+01, 6.76317425e+01,\n", - " 6.84201382e+01, 4.51466546e+01, 4.50540337e+01, 6.21463848e+01,\n", - " 6.80495948e+01, 5.02758411e+01, 5.85955920e+01, 6.82702348e+01,\n", - " 6.62761288e+01, 2.17633683e+01, 4.41454045e+01, 3.88126907e+01,\n", - " 4.48190544e+01, 3.24405600e+01, 3.17124495e+01, 6.01917504e+01,\n", - " 2.41955792e+01, 6.52879609e+01, 6.85279279e+01, 6.75523543e+01,\n", - " 4.77261103e+01, 5.18549385e+01, 2.72373438e+01, 6.20292521e+01,\n", - " 6.82158839e+01, 2.37929653e+01, 5.74126867e+01, 5.83690439e+01,\n", - " 1.33694626e+02, 5.85287223e+01, 5.84232439e+01, 4.81454663e+01,\n", - " 5.85915351e+01, 6.69049210e+01, 6.74474426e+01, 3.99766447e+01,\n", - " 3.78738896e+01, 8.01957158e+01, 4.38703999e+01, 2.30013199e+01,\n", - " 6.80267097e+01, 6.80277692e+01, 3.51456321e+01, 3.46420179e+01,\n", - " 4.85109977e+01, 1.95034228e+01, 4.55600033e+01, 2.22693415e+01,\n", - " 4.75254960e+01, 5.32898511e+01, 4.51925065e+01, 4.45969695e+01,\n", - " 5.56742426e+01, 5.12258799e+01, 1.42128200e+01, 2.15917734e+01,\n", - " 1.69656383e+01, 1.53340024e+01, 6.44309188e+01, 5.78698151e+01,\n", - " 3.72420967e+01, 5.75416813e+01, 6.27568000e+01, 8.55593302e+01,\n", - " 6.79486548e+01, 6.62852083e+01, 5.46836313e+01, 6.63217828e+01,\n", - " 6.34628526e+01, 1.72223905e+01, 2.30643822e+01, 1.20999898e+01,\n", - " 2.12691038e+01, 5.68977979e+01, 5.58762734e+01, 1.39195813e+02,\n", - " 6.98295985e+01, 5.19315404e+01, 6.52221235e+01, 6.83327726e+01,\n", - " 5.87084544e+01, 6.64680301e+01, 5.90722105e+01, 4.10465082e+01,\n", - " 4.25595170e+01, 4.81540914e+01, 3.98639557e+01, 4.79293017e+01,\n", - " 5.98415002e+01, 1.57109483e+01, -8.36936868e+00, 2.32003806e+00,\n", - " 6.68869683e+01, 1.24902065e+02, 4.61591361e+01, 5.18710974e+01,\n", - " 6.88625119e+01, 1.35306886e+01, 1.33180166e+01, 5.49043588e+01,\n", - " 5.82995456e+01, 5.04028318e+01, 4.07409452e+01, 3.77619749e+01,\n", - " 3.61211871e+01, 5.94918540e+01, 5.91981525e+01, 5.84120583e+01,\n", - " 6.28718389e+01, 4.58344057e+01, 5.84800241e+01, 4.54185848e+01,\n", - " 3.30088861e+01, 3.12292363e+01, 1.37688225e+02, 1.05709310e+02,\n", - " 2.58408196e+01, 2.77840889e+01, 7.34944389e+01, 6.12986001e+01,\n", - " 4.06783686e+01, 8.77237960e+01, 2.59528794e+01, 2.30768346e+01,\n", - " 5.01264103e+01, 5.48025371e+01, 4.57431322e+01, 6.50019928e+01,\n", - " 6.74814951e+01, 1.22465116e+01, 1.50951349e+01, 6.49232802e+01,\n", - " 7.42102518e+01, 6.44255681e+01, 5.88379129e+01, 6.61200311e+01,\n", - " 3.80244027e+01, 3.76035760e+01, 1.38749989e+02, 1.38998163e+02,\n", - " 6.41855956e+01, 2.85959232e+01, 6.59341493e+01, 5.21168528e+01,\n", - " 1.29371742e+01, 5.87079698e+01, 2.29065100e+01, 2.27736543e+01,\n", - " 5.14283221e+01, 5.40954374e+00, 5.74611563e+01, 9.62382197e+01,\n", - " 6.26700083e+01, 6.38464398e+01, 6.38603451e+01, 3.71635593e+01,\n", - " 5.79450535e+01, 5.84804447e+01, 4.88776064e+01, 4.71852664e+01,\n", - " 4.65582553e+01, 4.32967606e+01, 6.75748075e+01, 6.05822544e+01,\n", - " 8.77571319e+01, 7.27589528e+01, 4.33552825e+01, 1.71696703e+01,\n", - " 6.09653035e+01, 6.06452916e+01, 6.43214793e+01, 3.23192768e+01,\n", - " 3.46141624e+01, 1.06474660e+01, 6.27881178e+01, 6.52163090e+01,\n", - " 1.53281660e+01, 5.80856722e+01, 5.94450639e+01, 6.23342890e+01,\n", - " 4.70829144e+01, 4.24295610e+01, 6.65531907e+01, 5.62666610e+01,\n", - " 6.11415295e+01, 5.94229071e+01, 6.55704081e+01, 6.45545215e+01,\n", - " 6.75036892e+01, 8.03465028e+01, 9.07031917e+01, 6.41999282e+01,\n", - " 6.44239692e+01, 6.65089334e+01, 6.57617503e+01, 6.39612416e+01,\n", - " 5.85900283e+01, 6.59166428e+01, 5.16711275e+01, 3.81666521e+01,\n", - " 6.20182811e+01, 5.34899330e+01, 3.51552832e+01, 9.13240790e+01,\n", - " 6.32792038e+01, 4.54346979e+01, 5.41434680e+01, 6.69380892e+01,\n", - " 2.82704215e+01, 1.11776575e+01, -1.38596474e+01, 3.40152417e+01,\n", - " 4.47402655e+01, 7.33764053e+01, 6.32288093e+01, 6.38844925e+01,\n", - " 4.85424240e+01, 1.28903471e+01, 3.46722587e+01, 6.60324242e+01,\n", - " 5.68918339e+01, 6.40642032e+01, 1.03234948e+02, 5.61166923e+01,\n", - " 6.63347379e+01, 6.48012025e+01, 2.51410109e+01, 6.44325640e+01,\n", - " 6.02722383e+01, 9.65240436e+01, 6.52742990e+01, 6.83798293e+01,\n", - " 5.76752399e+01, 5.82788508e+01, 5.82455478e+01, 2.54096390e+01,\n", - " 2.74327884e+01, 2.30433435e+01, 4.82763538e+01, 4.91904004e+01,\n", - " 6.34673940e+01, 6.22240962e+01, 2.61943837e+01, 3.26015037e+01,\n", - " 5.47247806e+01, 6.46146609e+01, 6.54948581e+01, 5.90745048e+01,\n", - " 5.90881984e+01, 6.31462135e+01, 5.65041245e+01, 6.31793582e+01,\n", - " 6.23482556e+01, 7.26619232e+01, 4.65114235e+01, 1.86550336e+01,\n", - " 6.55699235e+01, 2.22828703e+01, 7.82473304e+00, 6.66187362e+01,\n", - " 4.47690170e+01, 4.16621504e+01, 1.53092287e+01, 2.20851439e+01,\n", - " 1.20931266e+02, 1.22913740e+02, 8.89662102e+01, 5.84406967e+01,\n", - " 5.75819416e+01, 6.30935194e+01, 6.68598850e+01, 6.33919577e+01,\n", - " 6.92384270e+01, 6.86585121e+01, 5.56070772e+01, 1.07581109e+02,\n", - " 6.96374468e+00, 8.28056044e+00, 3.60107716e+01, 6.70152185e+01,\n", - " 6.52763883e+01, 8.92356203e+00, 3.15922525e+01, 1.38435999e+01,\n", - " 6.39176651e+01, 5.82321947e+01, 2.36569996e+00, -4.46428920e+01,\n", - " 6.48126797e+01, 5.54001131e+01, 6.82200600e+01, 5.54517394e+01,\n", - " 6.15448099e+01, 6.32920185e+01, 5.85173957e+01, 6.62703051e+01,\n", - " 2.57884194e+01, 1.52120378e+01, 6.55585923e+01, 5.95371390e+01,\n", - " 6.82919841e+01, 1.25749907e+02, 4.95069703e+01, 5.72935435e+01,\n", - " 1.42117318e+01, 1.25867085e+00, 6.75477262e+01, 6.27067957e+01,\n", - " 6.57398971e+01, 6.62263385e+01, 3.59783174e+01, 2.39829055e+01,\n", - " 5.61344705e+01, 3.74623031e+01, 3.81464581e+01, 1.10246508e+02,\n", - " 1.63622846e+01, 1.45015377e+01, 4.28639738e+01, 2.86544809e+00,\n", - " 3.06047238e+00, 6.11371731e+01, 5.60496099e+01, 6.88049689e+01,\n", - " 6.88628928e+01, 1.19389314e+01, 1.21954893e+01, 3.64721244e+01,\n", - " 6.82029039e+01, 6.65112703e+01, -2.60149040e+00, 5.92512675e+01,\n", - " 6.77256288e+01, 6.02853068e+01, 4.60939435e+01, 4.48187753e+01,\n", - " 6.07219734e+01, 6.65545210e+01, 6.69465325e+01, 6.65101775e+01,\n", - " 6.61222268e+01, 4.25534283e+00, 5.82289728e+01, 6.80306710e+01,\n", - " 5.26303033e+01, 1.04785341e+02, 4.38210427e+01, 6.27460566e+01,\n", - " 6.37903022e+01, 1.49843185e+01, 6.26040161e+01, 6.61501690e+01,\n", - " 1.63109534e+01, 5.94612402e+01, 9.83543564e+01, 1.19106680e+02,\n", - " 4.78703083e+01, 2.68810813e+01, 4.61987354e+00, 3.64827862e+00,\n", - " 5.19799893e+01, 6.58221027e+01, 6.68520940e+01, 6.55945448e+01,\n", - " 9.00092217e+01, 6.69261195e+01, 6.44152874e+01, 3.71142478e+01,\n", - " 8.33385261e+01, 5.56299137e+01, 5.76808228e+01, 6.90491260e+01,\n", - " 4.47611404e+01, 3.75865517e+00, 4.55156539e+01, 5.78879127e+01,\n", - " 3.35535407e+01, 2.66512756e+01, 4.97302095e+01, 5.58928591e+01,\n", - " 5.70601981e+01, 3.70950668e+01, 1.22756468e+02, 6.58355135e+01,\n", - " 6.29580438e+01, 5.48637640e+01, 1.56268236e+01, 5.88831916e+01,\n", - " 6.50474520e+01, 5.76564140e+01, 4.60153203e+01, 2.27206842e+01,\n", - " 4.39628048e+00, 5.83326040e+01, -8.54016159e+00, 4.49068899e+01,\n", - " 7.43691329e+01, 6.85953253e+01, 6.14025906e+01, 5.45326668e+01,\n", - " 5.52799908e+01, 5.30929510e+01, 5.36912514e+01, 2.82446572e+01,\n", - " 5.22353235e+01, 4.62785318e+01, 4.87016026e+01, 6.05525243e+01,\n", - " 1.14775865e+02, 9.73218859e+01, 4.44029549e+01, 4.56252767e+01,\n", - " 1.35968902e+02, 5.51855093e+01, 5.76331577e+01, 4.99967389e+01,\n", - " 3.96192129e+01, 6.41287548e+01, 4.96397250e+01, 6.80631333e+01,\n", - " 1.23857658e+02, 5.94633704e+01, 6.19319889e+01, 5.70953273e+01,\n", - " 5.89151870e+01, 5.63764384e+01, 5.95585749e+01, 5.88382811e+01,\n", - " 4.57411859e+01, 6.69511474e+01, 4.52835597e+01, 5.80699968e+01,\n", - " 1.49647566e+01, 4.76098311e+00, 6.20389838e+01, 5.62124396e+01,\n", - " 5.70815052e+01, 4.03945151e+01, 6.49115087e+01, 6.98567045e+01,\n", - " 6.60884379e+01, 6.44007726e+01, 4.41361976e+01, 6.77674888e+01,\n", - " 6.34012790e+01, 6.10836417e+01, 6.70753123e+01, 9.23763302e+01,\n", - " 6.44264499e+01, 3.18049541e+01, 6.02210702e+01, 5.26467146e+01,\n", - " 6.22549149e+01, 4.34172425e+01, 2.70551208e+01, 5.86096254e+01,\n", - " 6.82387470e+01, 4.04738500e+01, 3.87282143e+01, 4.73001826e+01,\n", - " 5.99975311e+01, 5.44002211e+01, 5.93543724e+01, 5.17603185e+01,\n", - " 2.82896528e+00, 2.41895431e+00, 4.99750418e+01, 6.19346637e+01,\n", - " 5.88665189e+01, 6.62682887e+01, 9.60608893e+01, 9.33027152e+01,\n", - " 1.15404805e+01, 4.89398559e+01, 3.60517503e+01, 6.43798498e+01,\n", - " 6.44084274e+01, 6.38418568e+01, 5.73495646e+01, 1.29316810e+01,\n", - " 6.69288226e+01, 5.75495434e+01, 6.21608295e+01, 6.35942418e+01,\n", - " 6.91468614e+01, 6.44876095e+01, 5.19582730e+01, 5.85852727e+01,\n", - " 5.16125328e+01, 5.43995184e+01, 4.65658812e+01, 5.89809679e+01,\n", - " 5.90891665e+01, 5.87388550e+01, 6.74007686e+01, 1.52919511e+01,\n", - " 6.96656670e+00, 4.08180223e+01, 8.35612546e+01, 2.22609129e+00,\n", - " 1.26715059e+01, 3.26318392e+01, 5.85770171e+01, 1.82885639e+01,\n", - " 4.86114018e+01, 4.86107011e+01, 1.29606980e+01, 5.61781556e+01,\n", - " 5.42878854e+01, 6.39936305e+01, 6.33964132e+01, 3.75475171e+01,\n", - " 3.21009884e+01, 6.66343156e+01, 6.64382698e+01, 6.41817211e+01,\n", - " 1.23738045e+01, 6.60809628e+01, 5.81607083e+01, 6.25116644e+01,\n", - " 4.46680607e+01, 6.11114367e+01, 5.93707040e+01, 4.80359186e+01,\n", - " 6.58430476e+01, -1.75516100e+01, 2.02241503e+01, 5.64599678e+01,\n", - " 3.67418715e+01, 6.23541662e+01, 6.00057824e+01, 1.63500235e+01,\n", - " 6.17163427e+01, 4.42943227e+01, 1.54196525e+01, 5.20646556e+01,\n", - " 5.51928024e+01, 5.12565306e+00, 2.93000769e+01, 9.54251002e+00,\n", - " 3.20999300e+01, 6.12627639e+01, 4.17077539e+00, 3.43876174e+01,\n", - " 1.21687407e+01, 3.68656597e+01, 1.47745732e+01, 6.50870850e+01,\n", - " 7.65240285e+01, 7.74658628e+01, 3.89574064e+01, 3.02515491e+01,\n", - " 5.75806993e+01, 7.36826124e+01, 6.56443333e+01, 1.48696867e+00,\n", - " 6.65272013e+01, 3.50043237e+01, 6.70652844e+01, 9.65943144e+01,\n", - " 6.37947561e+01, 6.27620722e+01, 5.81409480e+01, 4.09695330e+01,\n", - " 6.44282687e+01, 6.05933149e+01, 5.78958355e+01, 1.49315284e+01,\n", - " 1.11864102e+02, 8.20534517e+01, 5.50768653e+01, 5.53243386e+01,\n", - " 7.06536609e+01, 6.57601265e+01, 8.69942475e+01, 5.95884839e+01,\n", - " 5.78865392e+01, 6.34541455e+01, 5.18367466e+01, 5.81916969e+01,\n", - " 3.92032506e+01, 5.20391242e+01, 6.69150412e+01, 9.95281155e+01,\n", - " 2.29677521e+01, 3.44676649e+01, 4.49866099e+01, 4.94824386e+01,\n", - " 5.93380791e+01, 6.86115615e+01, 5.99336778e+01, 5.86893089e+01,\n", - " 3.10424642e+01, 5.85275937e+01, 5.14122846e+01, 5.84459879e+01,\n", - " 1.05665729e+02, 5.57620355e+01, 4.14091274e+01, 5.50315138e+01,\n", - " 6.76915833e+01, 1.30952829e+01, 6.94021928e+00, 5.66596419e+01,\n", - " 5.56637233e+01, 5.54608068e+01, 3.70457331e+01, 1.25178242e+01,\n", - " 6.99738657e+01, 5.28396736e+01, 5.73267372e+01, 6.25836902e+01,\n", - " 6.50719156e+01, 3.87775746e+01, 5.75411472e+01, 1.85046302e+01,\n", - " 3.91402616e+01, 5.55157592e+01, 6.87198908e+01, 6.30861281e+01,\n", - " 3.18545243e+01, 3.07476855e+01, 5.14677903e+01, 1.53566967e+01,\n", - " 6.38537786e+01, 6.60171504e+01, 6.45921965e+01, 6.38875840e+01,\n", - " 6.92383967e+01, 1.29338272e+01, 7.36759425e+00, 1.64143169e+01,\n", - " 4.97661357e+01, 8.37046150e+01, 1.23070920e+01, 5.24162530e+01,\n", - " 5.16584809e+01, 6.38233411e+00, 5.36946846e+01, 5.14109771e+01,\n", - " 4.34794624e+01, 5.77749953e+01, 4.92909375e+01, 2.56002600e+01,\n", - " 5.60464799e+01, 1.76716634e+01, 6.70670975e+00, 9.46237424e+01,\n", - " 2.00990339e+01, 4.75013623e+01, 6.44264490e+01, 8.28524767e+00,\n", - " 2.00210368e+01, 2.49925312e+01, 4.41183810e+00, 5.50032517e+01,\n", - " 6.08318631e+01, 2.73112097e+01, 5.67360594e+01, 5.52028408e+01,\n", - " 6.26760138e+01, 6.25101761e+01, 3.61614746e+01, 6.26687191e+01,\n", - " 4.34661174e+01, 3.36775644e+00, 5.47327366e+01, 6.28639885e+01,\n", - " 6.27988506e+01, 5.61297436e+01, 1.07577638e+02, 5.70368170e+01,\n", - " 2.07574412e+01, 6.33260812e+01, 5.62978123e+01, 5.69896557e+01,\n", - " 5.79003745e+01, 7.60066360e+00, 5.40396063e+01, 5.40725324e+01,\n", - " 6.29295504e+01, 6.02341942e+01, 6.09240978e+01, 6.78851439e+01,\n", - " 4.24247109e+01, 1.34652086e+02, 6.03361650e+01, 4.58137805e+01,\n", - " 3.83785576e+01, 5.28364798e+01, 4.42376683e+01, 4.86817311e+01,\n", - " 6.62306662e+01, 1.29974910e+02, 5.22532636e+01, 6.28689062e+01,\n", - " 4.12609455e+01, 5.58290274e+01, 5.73129330e+01, 2.80085171e+00,\n", - " 6.41135380e+01, -3.22422661e+01, 6.08792859e+01, 6.69444622e+01,\n", - " -3.12841831e+01, 7.14357260e+01, 5.60837020e+01, 5.79002519e+01,\n", - " -1.66344910e+00, 2.52377829e+01, 2.13479936e+01, 5.31846245e+01,\n", - " 4.86508689e+01, -4.33923778e-01, -7.97849955e-01, 6.92346779e+01,\n", - " 2.47760663e+01, 1.36261554e+01, 4.65670871e+01, -1.45589459e+01,\n", - " -5.46891253e+01, 1.13123921e+02, 3.31877219e+01, -2.18169300e+01,\n", - " 1.01787685e+02, 1.00912378e+02, 1.72776122e+00, 1.00779746e+02,\n", - " 1.03153747e+02, 1.02686049e+01, 1.51222643e+02, 6.86368507e+01,\n", - " 6.83861721e+01, -4.69539821e-01, 1.66092135e+02, -2.37289651e+01,\n", - " 1.15410668e+01, 1.53689985e+02, 2.61002985e+01, 8.70821653e+01,\n", - " 3.31877219e+01, -2.18169298e+01, 1.01787685e+02, 1.00912379e+02,\n", - " 0.00000000e+00, 0.00000000e+00, 6.07811739e+01, 7.29495332e+01,\n", - " 4.61869275e+01, 6.42853041e+01, 3.46737313e+01, 3.48276933e+01,\n", - " 2.67754747e+01, 3.23285347e+01, 5.38864446e+01, 4.23407070e+01,\n", - " 5.08231436e+01, 5.25980522e+01, 5.78863235e+01]), array([ 2.29397505e+01, 6.55256076e+00, 4.45487648e+01, 1.80743207e+01,\n", - " 6.32652241e+01, 6.34031259e+01, 6.43565946e+01, 6.13593682e+01,\n", - " 4.37460929e+01, 1.16119273e+01, 6.16917536e+01, 6.30187293e+01,\n", - " 2.58637682e+01, 5.60200768e+01, 5.63797166e+01, 5.78799741e+01,\n", - " 2.28027380e+01, 3.23013965e+01, 4.34428140e+01, 5.45231879e+01,\n", - " 5.82741316e+01, 5.72819131e+01, 5.41127439e+01, -3.30882018e+00,\n", - " 6.35215947e+01, 6.21756234e+01, 5.39760129e+01, 5.96957036e+01,\n", - " 3.30321115e+01, 1.40670125e+02, 4.26891660e+01, 6.03301902e+01,\n", - " 6.45539156e+01, 2.04578968e+01, 5.29355249e+01, 2.66007178e+01,\n", - " 4.63295728e+01, 3.67706432e+01, 3.00136968e+00, 1.74965332e+01,\n", - " 4.57900405e+01, 4.81376327e+01, 5.19028045e+01, 4.38660334e+01,\n", - " 6.45080436e+01, -5.51353751e+01, 3.99915483e+01, 7.47864407e+01,\n", - " 6.44276657e+01, 1.44914079e+01, 6.17118274e+01, 6.08976743e+01,\n", - " 5.81447732e+01, 6.43280490e+01, 2.39071541e+01, 5.63563115e+01,\n", - " 5.61637992e+01, 1.00567253e+02, 9.04911387e+01, 4.70599649e+01,\n", - " 5.42410199e+01, 4.24503176e+01, -1.47846264e+01, -1.48874292e+01,\n", - " 3.85533137e+01, 4.49835058e+01, -1.45530066e+01, -1.70988458e+01,\n", - " 5.00091463e+01, 3.28145867e+02, 3.75034870e+01, 4.53396192e+01,\n", - " 5.64817652e+01, 5.70138143e+01, 5.67768782e+01, 3.00330442e+01,\n", - " -1.82379606e+01, 5.11701251e+01, 4.67266807e+01, -1.55559327e+01,\n", - " 4.60298109e+01, 8.56650442e+01, 7.36793619e+01, 1.02391052e+02,\n", - " 6.46726252e+01, 6.41052517e+01, 5.12765174e+01, 5.31173244e+01,\n", - " 5.30574833e+01, 8.08100986e+00, 2.56255666e+00, -2.97158281e+00,\n", - " 3.61546883e+01, 3.42542933e+01, 8.41683746e+01, 7.02896016e+01,\n", - " 6.38341276e+01, 6.38438335e+01, -3.78508207e+01, -2.71697884e+00,\n", - " 6.48298332e+01, -2.90938809e+00, 2.58388899e+01, -1.82313927e+01,\n", - " 5.40691463e+01, 5.36168284e+01, -1.45523809e+01, 5.57705379e+01,\n", - " 6.21186132e+01, 5.85743623e+01, 5.78243042e+01, 5.35356170e+01,\n", - " 1.58050380e+01, 1.26820335e+01, 1.78044236e+00, 1.54052031e+01,\n", - " 6.08481948e+01, 1.16095344e+02, 1.09154495e+02, 2.25374714e+01,\n", - " -1.44957338e+01, 8.34350307e+00, 9.70102082e+00, 1.55484214e+01,\n", - " 1.89246609e+01, 1.39874970e+02, 7.20229658e+01, 7.15434662e+01,\n", - " 3.28552290e+01, 2.88168269e+01, 5.31143042e+01, 4.56298461e+01,\n", - " 5.64237986e+01, 5.60866455e+01, -1.01164786e+01, -7.82156064e+00,\n", - " 3.77239502e+01, 5.67630036e+01, 6.25394560e+01, 6.25323218e+01,\n", - " 8.54592458e+01, 8.32707709e+01, -1.02025564e+01, -5.29520289e+00,\n", - " 5.26726752e+01, 6.15788507e+01, 6.14499915e+01, 2.19299885e+01,\n", - " -7.24419041e+00, 1.08806117e+02, -1.07014205e+00, 3.37604182e+01,\n", - " 1.18222019e+01, 7.26836929e+00, 7.66487390e+01, 5.33003876e+01,\n", - " 4.97169895e+01, 5.06700598e+01, 5.97568357e+01, 8.74491827e+00,\n", - " 9.41315913e+00, 6.29929077e+01, -4.72100313e+00, -9.23558145e+00,\n", - " -4.50353806e+00, -4.50836350e+00, 1.25035845e+02, 1.07119547e+02,\n", - " 4.95664046e+01, 6.12088974e+01, 4.61607003e+01, 5.17519915e+01,\n", - " 5.00485862e+01, 3.97729154e+01, 2.82901000e+01, 6.32782827e+01,\n", - " 6.40803387e+01, 4.06544401e+01, 4.05618036e+01, 5.67611851e+01,\n", - " 6.35585832e+01, 4.51575860e+01, 5.34825754e+01, 6.41241020e+01,\n", - " 6.21407649e+01, 1.71281154e+01, 3.76991456e+01, 3.23639398e+01,\n", - " 3.93701260e+01, 2.69916362e+01, 2.73179321e+01, 5.57923637e+01,\n", - " 1.98157815e+01, 6.09167554e+01, 6.41540945e+01, 6.31511360e+01,\n", - " 4.05580403e+01, 4.46868683e+01, 1.14818027e+01, 5.76921557e+01,\n", - " 6.38794353e+01, 5.36057606e+00, 5.29873939e+01, 5.32842452e+01,\n", - " 1.33303782e+02, 5.40326673e+01, 5.39269236e+01, 4.24927154e+01,\n", - " 5.29395464e+01, 6.25778236e+01, 6.31201435e+01, 2.73858835e+01,\n", - " 2.54793996e+01, 7.17888777e+01, 3.38912773e+01, 1.20370254e+01,\n", - " 6.35318019e+01, 6.35330392e+01, 2.24230931e+01, 2.19470743e+01,\n", - " 4.21702269e+01, 1.31533700e+01, 4.10677445e+01, -1.21648117e+01,\n", - " 4.10788365e+01, 4.62954758e+01, 4.07002342e+01, 4.01046950e+01,\n", - " 5.11822401e+01, 4.61076013e+01, -2.02764334e+00, 6.12491118e+00,\n", - " -1.85273982e+01, -2.01473826e+01, 5.93414524e+01, 5.34769101e+01,\n", - " 3.09031186e+01, 5.31455707e+01, 5.82634093e+01, 7.69501097e+01,\n", - " 6.35929519e+01, 6.18848850e+01, 5.02825215e+01, 6.19218613e+01,\n", - " 5.90622318e+01, -1.82907704e+01, 1.68381218e+01, 5.75909204e+00,\n", - " 1.50428264e+01, 5.24989204e+01, 5.14780407e+01, 1.38763954e+02,\n", - " 6.10478839e+01, 4.58033407e+01, 6.08355086e+01, 6.39444785e+01,\n", - " 5.43074986e+01, 6.19775371e+01, 5.46714457e+01, 3.73959376e+01,\n", - " 3.89088487e+01, 3.83415670e+01, 3.00502607e+01, 4.34282792e+01,\n", - " 5.53524314e+01, 9.47629372e+00, -2.54851436e+01, -1.47642210e+01,\n", - " 6.24718407e+01, 1.24471481e+02, 4.17795122e+01, 4.74914799e+01,\n", - " 6.47191980e+01, -4.05534104e+00, -4.26805520e+00, 5.00236857e+01,\n", - " 5.38031748e+01, 4.52780757e+01, 2.87958375e+01, 2.57869065e+01,\n", - " 3.06722641e+01, 5.44535552e+01, 5.41599504e+01, 5.28766255e+01,\n", - " 5.73164567e+01, 4.14336615e+01, 5.39831604e+01, 4.10172217e+01,\n", - " 2.85166342e+01, 2.67369845e+01, 1.37390533e+02, 1.05525997e+02,\n", - " 2.14611927e+01, 2.34044632e+01, 6.37905499e+01, 5.15137000e+01,\n", - " 3.57974913e+01, 7.86637151e+01, 2.10686459e+01, 1.49698923e+01,\n", - " 4.26629868e+01, 4.73391128e+01, 3.89026453e+01, 6.06016701e+01,\n", - " 6.30811793e+01, -4.54443463e+00, -1.71261079e+00, 6.05423094e+01,\n", - " 6.40956928e+01, 6.00448239e+01, 5.44591579e+01, 6.17910124e+01,\n", - " 3.36446677e+01, 3.32238396e+01, 1.38271714e+02, 1.38517775e+02,\n", - " 5.98049718e+01, 2.37150447e+01, 6.24286875e+01, 4.77372323e+01,\n", - " -4.53596897e+00, 5.42106660e+01, 1.55221713e+01, 1.55549998e+01,\n", - " 4.56905237e+01, -1.21306868e+01, 5.29638462e+01, 9.52883004e+01,\n", - " 5.82852265e+01, 5.94599973e+01, 5.94753545e+01, 1.70384829e+00,\n", - " 5.35656268e+01, 5.41097560e+01, 4.43853271e+01, 4.26929871e+01,\n", - " 1.18102720e+01, 8.54838508e+00, 6.31858067e+01, 5.60848427e+01,\n", - " 7.95368647e+01, 6.45339701e+01, 7.85354371e+00, -1.83390781e+01,\n", - " 5.65682175e+01, 5.62482563e+01, 5.99280482e+01, 2.00545032e+01,\n", - " 2.57382923e+01, 1.77159431e+00, 5.80055566e+01, 6.08155962e+01,\n", - " 2.93265188e+00, 5.36887556e+01, 5.50471772e+01, 5.79987054e+01,\n", - " 1.17723143e+01, 7.30417092e+00, 6.21545827e+01, 5.18871729e+01,\n", - " 5.67444130e+01, 5.50259724e+01, 6.11723856e+01, 6.01739075e+01,\n", - " 6.31428090e+01, 7.09797095e+01, 8.13199644e+01, 5.90946637e+01,\n", - " 5.93311302e+01, 6.21089378e+01, 6.13620269e+01, 5.95805922e+01,\n", - " 5.41931109e+01, 6.14247695e+01, 4.62222084e+01, 2.92908808e+01,\n", - " 5.75266354e+01, 4.89977184e+01, 2.46448381e+01, 8.08121744e+01,\n", - " 5.91184819e+01, 3.34960058e+01, 4.79413550e+01, 6.25396727e+01,\n", - " 1.68088854e+01, -4.01498906e-01, -2.27355219e+01, 2.25643485e+01,\n", - " 3.43332022e+01, 6.29883919e+01, 5.82716580e+01, 5.89580908e+01,\n", - " 4.13235564e+01, 6.62173517e+00, 2.74361809e+01, 6.15414762e+01,\n", - " 5.24008766e+01, 6.07340966e+01, 9.98888684e+01, 4.86532680e+01,\n", - " 6.18400009e+01, 6.03064655e+01, 2.06564015e+01, 5.93411899e+01,\n", - " 5.66416046e+01, 9.43632046e+01, 6.08736686e+01, 6.40059993e+01,\n", - " 5.16982135e+01, 5.38872710e+01, 5.38539717e+01, 1.27980399e+01,\n", - " 2.29404439e+01, 4.60793794e+00, 4.33955429e+01, 4.55435206e+01,\n", - " 5.77079823e+01, 5.64652803e+01, 2.04785446e+01, 2.70687650e+01,\n", - " 5.02240568e+01, 6.02378871e+01, 6.14271464e+01, 5.46828776e+01,\n", - " 5.46966070e+01, 5.86525571e+01, 5.21379874e+01, 5.87904866e+01,\n", - " 5.79574579e+01, 6.25451403e+01, 3.76372841e+01, 9.78089191e+00,\n", - " 6.11711594e+01, 1.06295929e+01, -3.10150176e+00, 6.22369599e+01,\n", - " 3.83237240e+01, 3.72960306e+01, -1.42430705e+00, 1.53125914e+01,\n", - " 1.20490768e+02, 1.22479509e+02, 8.80419519e+01, 5.39663672e+01,\n", - " 5.31086069e+01, 5.80023946e+01, 6.51099020e+01, 5.83008286e+01,\n", - " 6.52289743e+01, 6.46490526e+01, 5.12105762e+01, 1.07283407e+02,\n", - " 6.75784093e-01, 1.98891741e+00, 2.89509374e+01, 6.26166105e+01,\n", - " 6.35262441e+01, 2.69244271e+00, 2.78539828e+01, -3.74083689e+00,\n", - " 5.88122666e+01, 5.26433245e+01, -1.42684320e+01, -6.12770250e+01,\n", - " 6.04319546e+01, 5.10035072e+01, 6.38382711e+01, 5.10281335e+01,\n", - " 5.70450445e+01, 5.89114104e+01, 5.41373759e+01, 6.17755752e+01,\n", - " 1.41442174e+01, 3.59715495e+00, 6.11604386e+01, 5.51391659e+01,\n", - " 6.39151432e+01, 1.23882159e+02, 4.31709265e+01, 5.09574995e+01,\n", - " 3.79301853e+00, -9.16393766e+00, 6.31587255e+01, 5.72627683e+01,\n", - " 6.13719982e+01, 6.18584539e+01, 2.44919163e+01, 8.09730453e+00,\n", - " 5.17362927e+01, 2.59858462e+01, 2.66690108e+01, 1.09527046e+02,\n", - " -2.96045155e-01, -2.16104718e+00, 3.66237510e+01, -8.74439450e+00,\n", - " -8.56442810e+00, 5.67645444e+01, 5.15522029e+01, 6.44406144e+01,\n", - " 6.47197339e+01, 7.44665682e+00, 7.70321499e+00, 3.19798729e+01,\n", - " 6.38361842e+01, 6.21337918e+01, -1.81008676e+01, 5.34911456e+01,\n", - " 6.33468767e+01, 5.45251877e+01, 4.03341740e+01, 4.03265007e+01,\n", - " 5.62548165e+01, 6.20615454e+01, 6.24532557e+01, 6.20867021e+01,\n", - " 6.16597796e+01, -1.33308366e+01, 4.78356757e+01, 6.36519199e+01,\n", - " 4.81286846e+01, 1.02091051e+02, 3.87191457e+01, 5.83457545e+01,\n", - " 5.93638500e+01, -1.87066216e+00, 5.81209177e+01, 6.17495235e+01,\n", - " -3.44891960e-01, 5.50643510e+01, 9.03172025e+01, 1.18623049e+02,\n", - " 1.25098468e+01, -8.50569759e+00, -1.20044610e+01, -1.29786891e+01,\n", - " 4.69371919e+01, 6.14376876e+01, 6.24674928e+01, 6.12099023e+01,\n", - " 8.10013083e+01, 6.25417564e+01, 5.93209700e+01, 3.20123498e+01,\n", - " 7.38653801e+01, 5.11224270e+01, 5.32842870e+01, 6.57085509e+01,\n", - " 3.49935542e+01, -7.91686305e+00, 1.58583239e+01, 5.16888624e+01,\n", - " 2.10921398e+01, 1.55812106e+01, 4.40774366e+01, 5.15268273e+01,\n", - " 5.26941379e+01, 2.46190532e+01, 1.20265996e+02, 6.14373531e+01,\n", - " 5.84932523e+01, 4.86623692e+01, 1.11202237e+01, 5.32278930e+01,\n", - " 6.06644034e+01, 5.32643547e+01, 3.98418839e+01, 1.10460436e+01,\n", - " -7.31033617e+00, 5.39658449e+01, -2.61299429e+01, 3.55022069e+01,\n", - " 7.19471556e+01, 6.45274376e+01, 5.63114615e+01, 4.90510299e+01,\n", - " 4.97969001e+01, 4.56295266e+01, 4.62278269e+01, 1.81845136e+01,\n", - " 4.45840155e+01, 3.86271936e+01, 4.23677421e+01, 5.81304130e+01,\n", - " 1.14087581e+02, 9.65876458e+01, 3.79542043e+01, 3.67493481e+01,\n", - " 1.35583047e+02, 5.07835552e+01, 5.32516255e+01, 4.01353495e+01,\n", - " 2.95794727e+01, 5.98172382e+01, 4.32736124e+01, 6.37523433e+01,\n", - " 1.23200442e+02, 5.50634267e+01, 5.70163727e+01, 5.25979082e+01,\n", - " 5.44177678e+01, 5.19015804e+01, 5.51580713e+01, 5.44377731e+01,\n", - " 3.92924013e+01, 6.25507756e+01, 3.88347709e+01, 5.25358565e+01,\n", - " -1.69354438e+00, -1.18731487e+01, 5.75475907e+01, 5.17150215e+01,\n", - " 5.25840861e+01, 2.76309322e+01, 6.24262107e+01, 6.65706151e+01,\n", - " 6.16898439e+01, 6.20548037e+01, 4.17902285e+01, 6.53368556e+01,\n", - " 5.89666123e+01, 5.66489744e+01, 5.75940822e+01, 8.41684991e+01,\n", - " 5.93340329e+01, 2.62722121e+01, 5.58241806e+01, 4.59666194e+01,\n", - " 5.64947957e+01, 9.61770093e+00, 1.81791920e+01, 2.53726994e+01,\n", - " 5.92299977e+01, 3.60942260e+01, 3.43485903e+01, 1.18966721e+01,\n", - " 5.56006414e+01, 4.86655924e+01, 4.95519721e+01, 4.19577084e+01,\n", - " -8.79194629e+00, -9.20540779e+00, 4.11062843e+01, 5.68963636e+01,\n", - " 5.44837895e+01, 6.17772898e+01, 9.51349511e+01, 8.45225371e+01,\n", - " -5.91282320e+00, 1.39025488e+01, 2.92150180e+01, 5.92795055e+01,\n", - " 5.93129425e+01, 5.89154553e+01, 5.29678034e+01, -4.54273557e+00,\n", - " 6.25403449e+01, 5.30522219e+01, 5.78251473e+01, 5.89576069e+01,\n", - " 6.48725535e+01, 6.20567302e+01, 4.69157802e+01, 5.35467317e+01,\n", - " 4.71109095e+01, 4.98978950e+01, 4.29149484e+01, 5.45592579e+01,\n", - " 5.46919314e+01, 5.43739350e+01, 6.30121439e+01, -1.44019592e+00,\n", - " -4.40264456e+00, 3.63062850e+01, 7.49422307e+01, -9.43147872e+00,\n", - " 2.09199206e-01, 2.00993070e+01, 5.40798106e+01, 5.75530728e+00,\n", - " 4.22566311e+01, 4.22557681e+01, -4.50699197e+00, 5.17255138e+01,\n", - " 4.98119065e+01, 5.88887718e+01, 5.82915545e+01, 3.31814018e+01,\n", - " 2.77348349e+01, 6.21424839e+01, 6.20403070e+01, 6.25881883e+01,\n", - " 1.40980393e+00, 6.17661378e+01, 5.27094812e+01, 6.01772627e+01,\n", - " 1.49332527e+01, 5.70421286e+01, 5.44627305e+01, 4.22963196e+01,\n", - " 6.09166449e+01, -3.47253439e+01, 1.14729156e+01, 4.66610419e+01,\n", - " 3.10890793e+01, 5.79640894e+01, 5.56146106e+01, 9.99518639e+00,\n", - " 5.68000853e+01, 3.85547221e+01, -2.00622880e+01, 4.48965854e+01,\n", - " 5.07964879e+01, -1.16065936e+01, -6.10345379e+00, 3.78273546e+00,\n", - " 2.76076628e+01, 5.56487254e+01, -7.81119909e+00, 2.45738846e+01,\n", - " 2.39651224e+00, 2.79898862e+01, 5.89877438e+00, 6.10777069e+01,\n", - " 6.57975107e+01, 7.65140796e+01, 3.45776364e+01, 2.04375845e+01,\n", - " 5.31635046e+01, 6.54620480e+01, 6.39120655e+01, -1.12447727e+01,\n", - " 6.20362661e+01, 3.06245536e+01, 6.46006805e+01, 9.38973093e+01,\n", - " 5.88683544e+01, 5.78356705e+01, 5.37762598e+01, 3.52296631e+01,\n", - " 5.93361619e+01, 5.60958957e+01, 5.23138485e+01, 1.04391758e+01,\n", - " 1.11182893e+02, 7.78870085e+01, 5.05789593e+01, 5.08258637e+01,\n", - " 6.96808969e+01, 6.13660869e+01, 8.37556233e+01, 5.51879930e+01,\n", - " 5.39580639e+01, 5.85260980e+01, 1.70926778e+01, 5.38224517e+01,\n", - " 3.47109760e+01, 4.69255275e+01, 6.25203624e+01, 9.88128892e+01,\n", - " 1.72517678e+01, 2.76112060e+01, 3.98846805e+01, 4.50035873e+01,\n", - " 5.48417082e+01, 6.45155477e+01, 5.51430424e+01, 5.43220124e+01,\n", - " 1.95752661e+01, 5.49015391e+01, 4.16255836e+01, 5.40659680e+01,\n", - " 1.04765510e+02, 5.12635453e+01, 3.88354213e+01, 5.05788720e+01,\n", - " 6.31968043e+01, 8.61642982e+00, -4.41557296e+00, 5.21615565e+01,\n", - " 5.12461549e+01, 5.09623168e+01, 3.25534528e+01, -4.14047689e+00,\n", - " 6.77355669e+01, 4.83380549e+01, 5.29584982e+01, 5.85148041e+01,\n", - " 6.02812786e+01, 3.42740235e+01, 5.30430618e+01, 1.27886153e+01,\n", - " 2.93264971e+01, 5.14464014e+01, 6.54271425e+01, 5.87172036e+01,\n", - " 2.81725840e+01, 2.61505591e+01, 4.63495115e+01, 9.18325905e+00,\n", - " 5.94687914e+01, 6.08488141e+01, 6.02208478e+01, 5.94896931e+01,\n", - " 6.52289370e+01, -4.54009190e+00, -3.63930696e+00, -2.44004478e-01,\n", - " 4.46478571e+01, 7.24623343e+01, -4.48434528e+00, 4.68451879e+01,\n", - " 4.66161137e+01, -1.04578769e+01, 4.86516378e+01, 4.63679303e+01,\n", - " 3.70307116e+01, 5.28759889e+01, 4.43919310e+01, 7.16495789e+00,\n", - " 2.23066675e+01, 1.19534007e+01, -1.00913322e+01, 8.65846428e+01,\n", - " -1.49679314e+01, 4.10525735e+01, 5.93340319e+01, -8.37307708e+00,\n", - " 1.56414097e+01, 6.55697200e+00, -1.24880421e+01, 5.17622315e+01,\n", - " 5.64361006e+01, 2.24291106e+01, 5.18132161e+01, 5.08078440e+01,\n", - " 5.81951623e+01, 5.66465076e+01, 1.41332893e+00, 5.69650813e+01,\n", - " 3.70174070e+01, -1.34900983e+01, 5.02573135e+01, 5.80814273e+01,\n", - " 5.87290535e+01, 5.20187805e+01, 1.04554452e+02, 5.26429531e+01,\n", - " -1.48079381e+01, 5.93044559e+01, 5.19243482e+01, 5.26162426e+01,\n", - " 5.28621721e+01, -9.06536851e+00, 4.89484762e+01, 4.89814011e+01,\n", - " 5.73720278e+01, 5.46755726e+01, 5.65272081e+01, 6.33903294e+01,\n", - " 3.80135573e+01, 1.34214829e+02, 5.52977102e+01, 4.12302443e+01,\n", - " 3.37926583e+01, 4.77403945e+01, 3.44233565e+01, 4.59820736e+01,\n", - " 6.18320357e+01, 1.29537652e+02, 4.72107708e+01, 5.86388281e+01,\n", - " 3.67617795e+01, 5.13316730e+01, 5.28144397e+01, -1.38363063e+01,\n", - " 5.97154785e+01, -4.95598518e+01, 5.64219008e+01, 6.25497757e+01,\n", - " -5.71723593e+01, 6.96725287e+01, 5.15771077e+01, 5.34029450e+01,\n", - " -1.66344910e+00, 1.83435913e+01, 1.54894893e+01, 3.81815377e+01,\n", - " 4.23216328e+01, -4.34701879e-01, -7.98616797e-01, 6.48909989e+01,\n", - " 1.80506342e+01, 1.45813798e+00, 3.86826242e+01, -2.30013390e+01,\n", - " -7.18990752e+01, 1.10100736e+02, 2.29786893e+01, -4.81427628e+01,\n", - " 9.39081110e+01, 9.19488136e+01, 1.72776122e+00, 9.18646581e+01,\n", - " 9.53368715e+01, -2.59281803e+00, 1.50325741e+02, 6.43179060e+01,\n", - " 6.41157504e+01, -4.72237882e-01, 1.65746594e+02, -3.48962757e+01,\n", - " 4.05201991e+00, 1.50723577e+02, 2.88703656e-01, 7.80220844e+01,\n", - " 2.29786893e+01, -4.81427626e+01, 9.39081106e+01, 9.19488138e+01,\n", - " 0.00000000e+00, 0.00000000e+00, 6.06413515e+01, 7.26423089e+01,\n", - " 4.60780753e+01, 6.42853041e+01, 3.38505910e+01, 3.33187960e+01,\n", - " 2.67754747e+01, 3.23285347e+01, 5.38864446e+01, 4.23407070e+01,\n", - " 5.08231436e+01, 5.25980522e+01, 5.78863235e+01]), array([ 1.99899535e+01, 1.37948298e+00, 4.21461514e+01, 1.56657145e+01,\n", - " 6.13767726e+01, 6.15156499e+01, 6.24694843e+01, 5.94645314e+01,\n", - " 4.18285045e+01, 9.69350315e+00, 5.97699734e+01, 6.10970991e+01,\n", - " 2.21143985e+01, 5.41263768e+01, 5.44943600e+01, 5.59946175e+01,\n", - " 1.96345984e+01, 2.96398733e+01, 4.15547796e+01, 5.26351716e+01,\n", - " 5.63789911e+01, 5.53869291e+01, 5.22278285e+01, -8.84297846e+00,\n", - " 6.15995119e+01, 6.02549455e+01, 5.20912472e+01, 5.78207111e+01,\n", - " 3.11402905e+01, 1.40335127e+02, 3.92723435e+01, 5.84592691e+01,\n", - " 6.26826098e+01, 1.85367713e+01, 5.08452586e+01, 2.46795931e+01,\n", - " 4.43877152e+01, 3.48286908e+01, 1.08024188e+00, 1.55754066e+01,\n", - " 4.35043800e+01, 4.58519419e+01, 4.98074956e+01, 4.16099062e+01,\n", - " 6.26381148e+01, -6.28441235e+01, 3.68119916e+01, 7.45462377e+01,\n", - " 6.25532335e+01, 9.30831528e+00, 5.98177611e+01, 5.90035880e+01,\n", - " 5.62680905e+01, 6.24569983e+01, 2.16206607e+01, 5.40721990e+01,\n", - " 5.38795650e+01, 9.88983011e+01, 9.01589873e+01, 4.53899645e+01,\n", - " 5.23619088e+01, 4.03206877e+01, -2.05123474e+01, -2.06175891e+01,\n", - " 3.66321948e+01, 4.30618934e+01, -2.00672183e+01, -2.26263699e+01,\n", - " 4.80880709e+01, 3.26065891e+02, 3.55823787e+01, 4.34184881e+01,\n", - " 5.46207820e+01, 5.51528311e+01, 5.49122884e+01, 2.68529587e+01,\n", - " -2.14181010e+01, 4.89035101e+01, 4.43881709e+01, -2.12842865e+01,\n", - " 4.47809206e+01, 8.36026402e+01, 7.16169222e+01, 1.02150710e+02,\n", - " 6.28005601e+01, 6.22341873e+01, 4.93554477e+01, 5.09430744e+01,\n", - " 5.08745608e+01, 6.15988072e+00, 6.41428273e-01, -8.50310282e+00,\n", - " 3.42335787e+01, 3.23331749e+01, 8.21215200e+01, 6.82427279e+01,\n", - " 6.19630766e+01, 6.19727826e+01, -4.29710594e+01, -7.83713068e+00,\n", - " 6.10528237e+01, -1.34511574e+01, 2.23075081e+01, -2.87735155e+01,\n", - " 5.21467234e+01, 5.16942904e+01, -2.02811560e+01, 5.36159428e+01,\n", - " 6.02519717e+01, 5.67079708e+01, 5.57306525e+01, 5.14418476e+01,\n", - " 5.59502573e+00, 8.65783432e+00, -2.24135406e+00, 5.01812866e+00,\n", - " 5.87545514e+01, 1.15745921e+02, 1.08805011e+02, 1.25117172e+01,\n", - " -2.48829652e+01, 4.51230811e+00, 5.86263018e+00, 1.16142874e+01,\n", - " 1.49987649e+01, 1.39563315e+02, 7.02191946e+01, 6.97394244e+01,\n", - " 2.87566726e+01, 2.46278368e+01, 5.08306379e+01, 4.33442595e+01,\n", - " 5.42824244e+01, 5.39425828e+01, -1.58580846e+01, -1.35557950e+01,\n", - " 3.48065725e+01, 5.44830825e+01, 6.06492924e+01, 6.06415755e+01,\n", - " 8.49781872e+01, 8.27850041e+01, -1.57044107e+01, -1.09883694e+01,\n", - " 5.04880110e+01, 5.96645216e+01, 5.95369366e+01, 1.90126082e+01,\n", - " -1.27323875e+01, 1.08389527e+02, -6.57869726e+00, 3.16766879e+01,\n", - " 1.52036712e+00, 1.34373719e+00, 7.31943409e+01, 5.12057655e+01,\n", - " 4.77193613e+01, 4.86871419e+01, 5.78360826e+01, 6.77205601e+00,\n", - " 7.42587276e+00, 6.11015322e+01, -1.02210720e+01, -1.47465991e+01,\n", - " -1.02014516e+01, -1.02065432e+01, 1.24601654e+02, 1.06657420e+02,\n", - " 4.75646606e+01, 5.92881436e+01, 4.40630670e+01, 4.96543576e+01,\n", - " 4.80331159e+01, 3.78517861e+01, 2.63689505e+01, 6.13974184e+01,\n", - " 6.22033184e+01, 3.87333285e+01, 3.86406873e+01, 5.45787613e+01,\n", - " 6.16378191e+01, 4.30559202e+01, 5.13824141e+01, 6.22517252e+01,\n", - " 6.02684578e+01, 1.51657800e+01, 3.52282775e+01, 2.98923414e+01,\n", - " 3.71732473e+01, 2.47947589e+01, 2.54247933e+01, 5.38981686e+01,\n", - " 1.79269564e+01, 5.90558714e+01, 6.22933252e+01, 6.12562196e+01,\n", - " 3.78783816e+01, 4.20072096e+01, 6.34397694e+00, 5.58149598e+01,\n", - " 6.20029775e+01, -5.61736519e-01, 5.10857261e+01, 5.11921956e+01,\n", - " 1.32982207e+02, 5.21104864e+01, 5.20046669e+01, 4.02368381e+01,\n", - " 5.06841903e+01, 6.07033262e+01, 6.12455901e+01, 2.31007710e+01,\n", - " 2.12514467e+01, 6.87806632e+01, 3.03633410e+01, 8.22037101e+00,\n", - " 6.16099387e+01, 6.16112273e+01, 1.80977668e+01, 1.76300141e+01,\n", - " 3.97611795e+01, 1.07416024e+01, 3.91466198e+01, -2.23768426e+01,\n", - " 3.86078510e+01, 4.36890788e+01, 3.87791056e+01, 3.81835657e+01,\n", - " 4.92611908e+01, 4.40059286e+01, -7.36609227e+00, 1.01317676e+00,\n", - " -2.90497493e+01, -3.06663190e+01, 5.72480593e+01, 5.15843742e+01,\n", - " 2.84824421e+01, 5.12521222e+01, 5.63419891e+01, 7.35204770e+01,\n", - " 6.17114547e+01, 5.99902259e+01, 4.83876320e+01, 6.00273198e+01,\n", - " 5.71674876e+01, -2.88190192e+01, 1.44294920e+01, 3.33785300e+00,\n", - " 1.26341917e+01, 5.06046783e+01, 4.95839845e+01, 1.38428954e+02,\n", - " 5.76692445e+01, 4.34252066e+01, 5.89448246e+01, 6.20532876e+01,\n", - " 5.24126549e+01, 6.00569237e+01, 5.27766579e+01, 3.54985327e+01,\n", - " 3.70114152e+01, 3.49213966e+01, 2.66297473e+01, 4.15046751e+01,\n", - " 5.34322751e+01, 7.06520397e+00, -3.10801150e+01, -2.03499562e+01,\n", - " 6.05729233e+01, 1.24136855e+02, 3.98907380e+01, 4.56027076e+01,\n", - " 6.28467207e+01, -9.78812612e+00, -1.00008526e+01, 4.79905245e+01,\n", - " 5.18809037e+01, 4.31745435e+01, 2.46951650e+01, 2.16774536e+01,\n", - " 2.84753870e+01, 5.23749469e+01, 5.20813700e+01, 5.06754337e+01,\n", - " 5.51094185e+01, 3.95388791e+01, 5.20607492e+01, 3.91222580e+01,\n", - " 2.65955116e+01, 2.48158619e+01, 1.37101008e+02, 1.05275312e+02,\n", - " 1.95724177e+01, 2.15156886e+01, 6.04022165e+01, 4.81016253e+01,\n", - " 3.37642702e+01, 7.52034966e+01, 1.90344412e+01, 1.19903291e+01,\n", - " 3.98967707e+01, 4.45728965e+01, 3.62941352e+01, 5.87070112e+01,\n", - " 6.11865225e+01, -1.00442096e+01, -7.21730911e+00, 5.86532059e+01,\n", - " 6.03264451e+01, 5.81557803e+01, 5.25711873e+01, 5.99161317e+01,\n", - " 3.17558611e+01, 3.13350326e+01, 1.37936345e+02, 1.38181763e+02,\n", - " 5.79159570e+01, 2.16818233e+01, 6.05738087e+01, 4.58484592e+01,\n", - " -1.02356711e+01, 5.22881281e+01, 1.27490496e+01, 1.28313665e+01,\n", - " 4.34048806e+01, -1.78500499e+01, 5.10413062e+01, 9.47957734e+01,\n", - " 5.63950494e+01, 5.75693581e+01, 5.75851224e+01, -8.80873633e+00,\n", - " 5.16769105e+01, 5.22234133e+01, 4.24641964e+01, 4.07718564e+01,\n", - " 1.50626897e+00, -1.75573296e+00, 6.12944547e+01, 5.41622728e+01,\n", - " 7.62212201e+01, 6.12169436e+01, -2.67135772e+00, -2.88660338e+01,\n", - " 5.46744920e+01, 5.43545452e+01, 5.80353867e+01, 1.58636778e+01,\n", - " 2.25581392e+01, -1.40855925e+00, 5.60007062e+01, 5.89208255e+01,\n", - " -1.29560111e+00, 5.17950781e+01, 5.31532210e+01, 5.61218640e+01,\n", - " 1.30342872e+00, -3.11043638e+00, 6.02604231e+01, 4.99984386e+01,\n", - " 5.48506789e+01, 5.31322900e+01, 5.92783913e+01, 5.82848988e+01,\n", - " 6.12591478e+01, 6.76901667e+01, 7.80256054e+01, 5.69967297e+01,\n", - " 5.72367675e+01, 6.02145090e+01, 5.94676772e+01, 5.76915738e+01,\n", - " 5.22994333e+01, 5.95037581e+01, 4.40253324e+01, 2.61107567e+01,\n", - " 5.56056882e+01, 4.70766067e+01, 2.10201317e+01, 7.71870403e+01,\n", - " 5.72468087e+01, 2.93972135e+01, 4.55400427e+01, 6.06455653e+01,\n", - " 1.28408770e+01, -4.40397754e+00, -2.59156763e+01, 1.85996142e+01,\n", - " 3.06790174e+01, 5.93995659e+01, 5.62399394e+01, 5.69353838e+01,\n", - " 3.86513688e+01, 4.20093440e+00, 2.47589496e+01, 5.96207308e+01,\n", - " 5.04801284e+01, 5.89192838e+01, 9.80693745e+01, 4.58870516e+01,\n", - " 5.99181870e+01, 5.83846516e+01, 1.87375321e+01, 5.72472483e+01,\n", - " 5.47500425e+01, 9.28233582e+01, 5.89789217e+01, 6.21194074e+01,\n", - " 4.93519089e+01, 5.19951127e+01, 5.19618143e+01, 8.50682052e+00,\n", - " 2.10192942e+01, -1.31525861e+00, 4.13623412e+01, 4.36471973e+01,\n", - " 5.54411505e+01, 5.41986230e+01, 1.81810298e+01, 2.48212819e+01,\n", - " 4.83005376e+01, 5.83504542e+01, 5.95550205e+01, 5.27907064e+01,\n", - " 5.28044455e+01, 5.67310585e+01, 5.02528840e+01, 5.68991343e+01,\n", - " 5.60655479e+01, 5.87752408e+01, 3.44576382e+01, 6.60124537e+00,\n", - " 5.92770843e+01, 6.60539214e+00, -6.92409369e+00, 6.03476399e+01,\n", - " 3.58531390e+01, 3.54109311e+01, -6.90725713e+00, 1.27636348e+01,\n", - " 1.20153967e+02, 1.22144545e+02, 8.75554578e+01, 5.20504878e+01,\n", - " 5.11930121e+01, 5.59085181e+01, 6.33047228e+01, 5.62069508e+01,\n", - " 6.33576247e+01, 6.27777010e+01, 4.93170163e+01, 1.06993879e+02,\n", - " -1.75487535e+00, -4.42821213e-01, 2.62781842e+01, 6.07224509e+01,\n", - " 6.17210176e+01, 2.82389024e-01, 2.59308766e+01, -9.47315513e+00,\n", - " 5.67142942e+01, 5.04264721e+01, -1.97222505e+01, -6.67308438e+01,\n", - " 5.85433569e+01, 4.91102136e+01, 6.19489686e+01, 4.91269581e+01,\n", - " 5.51473692e+01, 5.70223981e+01, 5.22484999e+01, 5.98537633e+01,\n", - " 1.01226763e+01, -4.15793790e-01, 5.92664065e+01, 5.32451849e+01,\n", - " 6.20272627e+01, 1.22495911e+02, 4.07397703e+01, 4.85263432e+01,\n", - " 1.35419514e-01, -1.28226782e+01, 6.12673735e+01, 5.50883641e+01,\n", - " 5.94873888e+01, 5.99738488e+01, 2.05182153e+01, 2.92136306e+00,\n", - " 4.98422524e+01, 2.20145592e+01, 2.26974336e+01, 1.09110709e+02,\n", - " -5.75695510e+00, -7.62320414e+00, 3.42070818e+01, -1.27558661e+01,\n", - " -1.25803127e+01, 5.48785091e+01, 4.96296345e+01, 6.25570438e+01,\n", - " 6.28472584e+01, 5.52552756e+00, 5.78208582e+00, 3.00587504e+01,\n", - " 6.19509487e+01, 6.02456566e+01, -2.32221309e+01, 5.12241056e+01,\n", - " 6.14584141e+01, 5.22581485e+01, 3.80672373e+01, 3.84053714e+01,\n", - " 5.43410021e+01, 6.01402343e+01, 6.05318571e+01, 6.01854950e+01,\n", - " 5.97473208e+01, -1.90636655e+01, 4.42453012e+01, 6.17634573e+01,\n", - " 4.62049085e+01, 1.00394869e+02, 3.65895000e+01, 5.64512419e+01,\n", - " 5.74617849e+01, -7.38920406e+00, 5.62024821e+01, 5.98547721e+01,\n", - " -5.80507382e+00, 5.31706820e+01, 8.74095612e+01, 1.18273607e+02,\n", - " 2.02634864e+00, -1.89969084e+01, -1.74554082e+01, -1.84304080e+01,\n", - " 4.48572879e+01, 5.95476257e+01, 6.05773823e+01, 5.93197764e+01,\n", - " 7.75563782e+01, 6.06517141e+01, 5.72261823e+01, 2.98827038e+01,\n", - " 7.05446691e+01, 4.91969047e+01, 5.13907175e+01, 6.38609863e+01,\n", - " 3.15276291e+01, -1.19474267e+01, 7.04620630e+00, 4.92884476e+01,\n", - " 1.68279705e+01, 1.17237108e+01, 4.18215528e+01, 4.96417505e+01,\n", - " 5.08090534e+01, 2.03462488e+01, 1.18731092e+02, 5.95433192e+01,\n", - " 5.65801189e+01, 4.62612673e+01, 9.19501743e+00, 5.09716263e+01,\n", - " 5.87751157e+01, 5.13723839e+01, 3.74430493e+01, 7.01558202e+00,\n", - " -1.13501688e+01, 5.20805724e+01, -3.18638274e+01, 3.22015600e+01,\n", - " 7.01417247e+01, 6.26552873e+01, 5.42175837e+01, 4.68656037e+01,\n", - " 4.76110478e+01, 4.28633102e+01, 4.34616105e+01, 1.46917750e+01,\n", - " 4.17627373e+01, 3.58059066e+01, 3.99610514e+01, 5.63249428e+01,\n", - " 1.13690666e+02, 9.61772633e+01, 3.54826059e+01, 3.35691779e+01,\n", - " 1.35262260e+02, 4.88887072e+01, 5.13628129e+01, 3.66419326e+01,\n", - " 2.60337877e+01, 5.79459183e+01, 4.08473094e+01, 6.18812363e+01,\n", - " 1.22812632e+02, 5.31688771e+01, 5.49968265e+01, 5.06753362e+01,\n", - " 5.24951958e+01, 4.99855476e+01, 5.32633595e+01, 5.25430600e+01,\n", - " 3.68207930e+01, 6.06561051e+01, 3.63631614e+01, 5.03350434e+01,\n", - " -7.15444587e+00, -1.73269671e+01, 5.56267168e+01, 4.97924497e+01,\n", - " 5.06615141e+01, 2.32932548e+01, 6.06176191e+01, 6.47254898e+01,\n", - " 5.97956880e+01, 6.02533862e+01, 3.99888110e+01, 6.35306345e+01,\n", - " 5.70621755e+01, 5.47445375e+01, 5.42710022e+01, 8.08564990e+01,\n", - " 5.72397915e+01, 2.40247280e+01, 5.39305116e+01, 4.34472858e+01,\n", - " 5.42277565e+01, -4.08348340e-01, 1.49990217e+01, 1.55115323e+01,\n", - " 5.57848227e+01, 3.42054519e+01, 3.24598162e+01, 1.40055777e+00,\n", - " 5.37069724e+01, 4.63808782e+01, 4.61347687e+01, 3.85404436e+01,\n", - " -1.28066618e+01, -1.32211346e+01, 3.79282156e+01, 5.48177549e+01,\n", - " 5.25946039e+01, 5.98565304e+01, 9.46494520e+01, 8.11443481e+01,\n", - " -1.16067111e+01, 3.51375541e+00, 2.66435493e+01, 5.71829854e+01,\n", - " 5.72178192e+01, 5.68927485e+01, 5.10789267e+01, -1.02428109e+01,\n", - " 6.06491348e+01, 5.11296785e+01, 5.59482791e+01, 5.69948452e+01,\n", - " 6.30088460e+01, 6.02508521e+01, 4.48359640e+01, 5.14680536e+01,\n", - " 4.51871321e+01, 4.79741177e+01, 4.10174374e+01, 5.26586688e+01,\n", - " 5.27984550e+01, 5.24891610e+01, 6.11208910e+01, -6.92273902e+00,\n", - " -8.34136119e+00, 3.43795169e+01, 7.15097250e+01, -1.34569375e+01,\n", - " -4.05523558e+00, 1.58290222e+01, 5.21572668e+01, 1.48481011e+00,\n", - " 3.98438124e+01, 3.98429018e+01, -1.02050960e+01, 4.98159364e+01,\n", - " 4.78955492e+01, 5.67909544e+01, 5.61937371e+01, 3.12963034e+01,\n", - " 2.58497254e+01, 6.02214847e+01, 6.01464612e+01, 6.08288589e+01,\n", - " -2.42140238e+00, 5.98942307e+01, 5.05329669e+01, 5.83765100e+01,\n", - " 6.09842912e+00, 5.51721999e+01, 5.24454242e+01, 4.00101488e+01,\n", - " 5.88939377e+01, -4.03373011e+01, 8.30476275e+00, 4.32448568e+01,\n", - " 2.88331898e+01, 5.60723742e+01, 5.37225734e+01, 7.58234821e+00,\n", - " 5.47803513e+01, 3.62685508e+01, -3.05813873e+01, 4.22169267e+01,\n", - " 4.89032791e+01, -1.70891660e+01, -1.65995740e+01, 1.51579722e+00,\n", - " 2.56865357e+01, 5.34043248e+01, -1.19317291e+01, 2.11533601e+01,\n", - " -1.07077332e+00, 2.48097615e+01, 2.71864220e+00, 5.92063793e+01,\n", - " 6.21094813e+01, 7.60210063e+01, 3.26888194e+01, 1.70169921e+01,\n", - " 5.12642272e+01, 6.21463162e+01, 6.21120779e+01, -1.55727958e+01,\n", - " 6.01155252e+01, 2.87357367e+01, 6.27845038e+01, 9.22003321e+01,\n", - " 5.68456475e+01, 5.58129635e+01, 5.18915532e+01, 3.29434128e+01,\n", - " 5.72420097e+01, 5.41733237e+01, 5.00990133e+01, 8.51802374e+00,\n", - " 1.10788051e+02, 7.58609381e+01, 4.86562446e+01, 4.89029823e+01,\n", - " 6.91816749e+01, 5.94732520e+01, 8.19676207e+01, 5.32932849e+01,\n", - " 5.20017332e+01, 5.65029087e+01, 6.78982193e+00, 5.19365019e+01,\n", - " 3.27898467e+01, 4.48251963e+01, 6.06273458e+01, 9.84080788e+01,\n", - " 1.49542105e+01, 2.49980150e+01, 3.77550253e+01, 4.30863998e+01,\n", - " 5.29194371e+01, 6.25101176e+01, 5.31601237e+01, 5.24365932e+01,\n", - " 1.56060115e+01, 5.30113190e+01, 3.82129811e+01, 5.21770921e+01,\n", - " 1.04298645e+02, 4.93406594e+01, 3.69872708e+01, 4.86692946e+01,\n", - " 6.12749783e+01, 6.69924174e+00, -8.35035696e+00, 5.02387943e+01,\n", - " 4.93467689e+01, 4.90394310e+01, 3.06323219e+01, -9.60137843e+00,\n", - " 6.61730198e+01, 4.64142788e+01, 5.10728225e+01, 5.66449681e+01,\n", - " 5.82983594e+01, 3.23496926e+01, 5.11202995e+01, 1.04910491e+01,\n", - " 2.59059633e+01, 4.95764581e+01, 6.36232780e+01, 5.68562204e+01,\n", - " 2.62659858e+01, 2.41992269e+01, 4.42478388e+01, 6.78442407e+00,\n", - " 5.75785604e+01, 5.87552049e+01, 5.83352275e+01, 5.75957357e+01,\n", - " 6.33575854e+01, -1.02400214e+01, -7.48130468e+00, -5.70491196e+00,\n", - " 4.25461845e+01, 6.82610473e+01, -9.98426419e+00, 4.46131478e+01,\n", - " 4.45363338e+01, -1.59720904e+01, 4.65716619e+01, 4.42879544e+01,\n", - " 3.45591133e+01, 5.08375531e+01, 4.23534952e+01, 1.24179167e+00,\n", - " 1.22981226e+01, 9.65517562e+00, -1.55931867e+01, 8.36764312e+01,\n", - " -2.53654166e+01, 3.85809640e+01, 5.72397904e+01, -1.38339856e+01,\n", - " 1.37526347e+01, 6.33730445e-01, -1.80197425e+01, 4.99735267e+01,\n", - " 5.45427571e+01, 2.03955315e+01, 4.97679057e+01, 4.89147123e+01,\n", - " 5.62773771e+01, 5.43491218e+01, -8.89072174e+00, 5.47145947e+01,\n", - " 3.45458204e+01, -1.90094825e+01, 4.83411167e+01, 5.60765770e+01,\n", - " 5.68589816e+01, 5.01366442e+01, 1.02863429e+02, 5.07501441e+01,\n", - " -2.53514903e+01, 5.74357891e+01, 5.00371921e+01, 5.07290032e+01,\n", - " 5.07835916e+01, -1.45285357e+01, 4.68545982e+01, 4.68875227e+01,\n", - " 5.51643623e+01, 5.24471118e+01, 5.46335391e+01, 6.14684931e+01,\n", - " 3.61157242e+01, 1.33878977e+02, 5.32190558e+01, 3.92823696e+01,\n", - " 3.18440910e+01, 4.56450856e+01, 3.10026623e+01, 4.42843191e+01,\n", - " 5.99378700e+01, 1.29201800e+02, 4.51309546e+01, 5.67724360e+01,\n", - " 3.48386955e+01, 4.94091200e+01, 5.08915529e+01, -1.92910116e+01,\n", - " 5.78214752e+01, -5.52139667e+01, 5.45109214e+01, 6.06567569e+01,\n", - " -6.48798744e+01, 6.78634769e+01, 4.96518469e+01, 5.14804060e+01,\n", - " -1.66344910e+00, 1.57559191e+01, 1.31530750e+01, 3.32585109e+01,\n", - " 3.99164370e+01, -4.35086269e-01, -7.98998282e-01, 6.30448557e+01,\n", - " 1.55167943e+01, -2.70740562e+00, 3.57673810e+01, -2.60900728e+01,\n", - " -7.75216459e+01, 1.08409713e+02, 1.94423160e+01, -5.59785396e+01,\n", - " 9.10434352e+01, 8.88049161e+01, 1.72776122e+00, 8.87344310e+01,\n", - " 9.24892912e+01, -6.95842533e+00, 1.49859848e+02, 6.24507778e+01,\n", - " 6.22539762e+01, -4.73546546e-01, 1.65439912e+02, -3.87881394e+01,\n", - " 1.24865091e+00, 1.49070841e+02, -7.39636816e+00, 7.45618660e+01,\n", - " 1.94423160e+01, -5.59785393e+01, 9.10434348e+01, 8.88049164e+01,\n", - " 0.00000000e+00, 0.00000000e+00, 6.04152510e+01, 7.23151742e+01,\n", - " 4.58597856e+01, 6.42853041e+01, 3.27119916e+01, 3.15644774e+01,\n", - " 2.67754747e+01, 3.23285347e+01, 5.38864446e+01, 4.23407070e+01,\n", - " 5.08231436e+01, 5.25980522e+01, 5.78863235e+01]), array([ 2.64195566e+00, -1.46772519e+01, 2.45806164e+01, -1.89982050e+00,\n", - " 4.34267679e+01, 4.35785764e+01, 4.45319834e+01, 4.15192111e+01,\n", - " 2.39023383e+01, -8.23212679e+00, 4.18451736e+01, 4.31721179e+01,\n", - " 7.95629886e+00, 3.61802497e+01, 3.65346480e+01, 3.80349054e+01,\n", - " 2.20829919e+00, 1.20018394e+01, 2.36189374e+01, 3.46993295e+01,\n", - " 3.84338859e+01, 3.74417069e+01, 3.42671411e+01, -2.49655892e+01,\n", - " 4.36744219e+01, 4.23286199e+01, 3.41302279e+01, 3.00752272e+01,\n", - " 3.39480662e+00, 1.40216759e+02, 1.86216238e+01, 3.27832516e+01,\n", - " 3.70376567e+01, 6.10652813e-01, 3.30406164e+01, 6.75347463e+00,\n", - " 2.64615960e+01, 1.69025716e+01, -1.68458769e+01, -2.35071200e+00,\n", - " 2.57155036e+01, 2.80630656e+01, 3.20065095e+01, 2.39275480e+01,\n", - " 4.46093318e+01, -7.89666776e+01, 2.06893108e+01, 7.45039849e+01,\n", - " 4.46261242e+01, -6.74841959e+00, 4.18719365e+01, 4.10578198e+01,\n", - " 3.82862142e+01, 4.44358544e+01, 3.83178429e+00, 3.62833226e+01,\n", - " 3.60906886e+01, 9.83216088e+01, 9.01359897e+01, 4.48132722e+01,\n", - " 2.73646415e+01, 1.61914117e+01, -3.66349548e+01, -3.67401965e+01,\n", - " 1.87060767e+01, 2.51357753e+01, -3.61898301e+01, -3.87489816e+01,\n", - " 3.01619559e+01, 3.08253603e+02, 1.76562611e+01, 2.54923690e+01,\n", - " 3.83916920e+01, 3.89237410e+01, 2.86308335e+01, 1.07302779e+01,\n", - " -3.75407818e+01, 3.27808032e+01, 2.82654660e+01, -3.74068939e+01,\n", - " 4.46346159e+01, 8.30259480e+01, 7.10402299e+01, 1.02108457e+02,\n", - " 3.80487375e+01, 3.79347505e+01, 3.14293331e+01, 3.48203638e+01,\n", - " 3.47518505e+01, -1.17662383e+01, -1.72846906e+01, -2.46257136e+01,\n", - " 1.63074611e+01, 1.44070569e+01, 8.15448278e+01, 6.76660357e+01,\n", - " 4.39419328e+01, 4.39516387e+01, -5.90936815e+01, -2.39597528e+01,\n", - " 6.04761320e+01, -2.95737111e+01, 1.65682822e+00, -4.48960692e+01,\n", - " 3.42228919e+01, 3.37705384e+01, -3.64037634e+01, 3.74932314e+01,\n", - " 4.07997858e+01, 3.74357601e+01, 3.96079388e+01, 3.53191338e+01,\n", - " -1.05275280e+01, -8.27339965e+00, -1.91725880e+01, -1.11044251e+01,\n", - " 4.26318376e+01, 1.15506349e+02, 1.08565439e+02, -3.61083648e+00,\n", - " -4.10055189e+01, -1.23960570e+01, -1.10459009e+01, -5.29576580e+00,\n", - " -1.91128832e+00, 1.39444947e+02, 6.99086845e+01, 6.94289143e+01,\n", - " 1.19960574e+01, 8.00561458e+00, 3.30417615e+01, 2.55553831e+01,\n", - " 3.81597125e+01, 3.78198710e+01, -3.19806920e+01, -2.96784023e+01,\n", - " 1.74425192e+01, 3.66942061e+01, 4.27013720e+01, 4.26943768e+01,\n", - " 8.49476527e+01, 8.27544696e+01, -3.18270181e+01, -2.71109768e+01,\n", - " 3.43653007e+01, 4.17357041e+01, 4.16074646e+01, 1.64855491e+00,\n", - " -2.88549992e+01, 1.08355738e+02, -2.27013086e+01, 1.38671787e+01,\n", - " -1.46021866e+01, -1.47129977e+01, 7.30480361e+01, 3.50830518e+01,\n", - " 3.15966439e+01, 3.25644240e+01, 3.99097571e+01, -1.11159501e+01,\n", - " -1.04520480e+01, 4.31552477e+01, -2.63436794e+01, -3.08692065e+01,\n", - " -2.63240590e+01, -2.63291505e+01, 1.24568157e+02, 1.06624817e+02,\n", - " 3.14419433e+01, 4.13618181e+01, 2.62638476e+01, 3.18551381e+01,\n", - " 3.19103991e+01, 1.99256669e+01, 8.44283133e+00, 4.34509655e+01,\n", - " 4.42513698e+01, 2.08072091e+01, 2.07145680e+01, 3.67541307e+01,\n", - " 4.37114935e+01, 2.52596386e+01, 3.35849849e+01, 3.72043538e+01,\n", - " 3.51517944e+01, -2.72958200e+00, 1.81263377e+01, 1.27904016e+01,\n", - " 1.94491213e+01, 7.07063281e+00, 7.47305840e+00, 3.59582838e+01,\n", - " -2.47784094e-02, 4.28762179e+01, 4.61706027e+01, 4.33108992e+01,\n", - " 2.17556865e+01, 2.58845144e+01, -9.71275983e+00, 3.78364294e+01,\n", - " 4.40411202e+01, -1.66184714e+01, 3.31508438e+01, 3.33888386e+01,\n", - " 1.32741714e+02, 3.41863808e+01, 3.40806384e+01, 2.25555931e+01,\n", - " 3.30048063e+01, 4.27201582e+01, 4.32624719e+01, 6.68147038e+00,\n", - " 4.70206170e+00, 4.81299287e+01, 1.30962079e+01, -9.04676211e+00,\n", - " 4.36851953e+01, 4.36864487e+01, 1.81450087e+00, 1.33029175e+00,\n", - " 2.26563788e+01, -6.36319828e+00, 2.12205006e+01, -3.84993963e+01,\n", - " 2.15059112e+01, 2.54506909e+01, 2.08529865e+01, 2.02574466e+01,\n", - " 3.13350783e+01, 2.62096471e+01, -2.34887073e+01, -1.51094453e+01,\n", - " -4.51723030e+01, -4.67888727e+01, 3.94456609e+01, 3.36370344e+01,\n", - " 1.09539501e+01, 3.33057173e+01, 3.84171175e+01, 7.33741723e+01,\n", - " 4.37658492e+01, 4.20447084e+01, 3.04421144e+01, 4.20817970e+01,\n", - " 3.92220511e+01, -4.49415729e+01, -3.13604299e+00, -1.41906390e+01,\n", - " -4.93134332e+00, 3.26588987e+01, 3.16380917e+01, 1.38310586e+02,\n", - " 5.70925528e+01, 2.58346194e+01, 4.09974333e+01, 4.41053672e+01,\n", - " 3.44671814e+01, 4.21305453e+01, 3.48311844e+01, 7.75304887e+00,\n", - " 9.26593138e+00, 1.42706769e+01, 5.97902756e+00, 2.35819631e+01,\n", - " 3.55071145e+01, -1.05003310e+01, -4.72027243e+01, -3.64725657e+01,\n", - " 4.26306568e+01, 1.24018487e+02, 2.19390032e+01, 2.76509727e+01,\n", - " 3.77920940e+01, -2.59107335e+01, -2.61234600e+01, 3.01447290e+01,\n", - " 3.39568918e+01, 2.53797225e+01, 7.93454985e+00, 4.91683842e+00,\n", - " 1.07512610e+01, 3.45615710e+01, 3.42679724e+01, 3.45527241e+01,\n", - " 3.89867089e+01, 2.15933615e+01, 3.41369036e+01, 2.11767404e+01,\n", - " 8.66939337e+00, 6.88974361e+00, 1.37005429e+02, 1.05238438e+02,\n", - " 1.62068284e+00, 3.56395371e+00, 3.97514968e+01, 2.74509056e+01,\n", - " 1.59184748e+01, 7.46268049e+01, 1.18864578e+00, -5.34277065e+00,\n", - " 2.37740780e+01, 2.84502038e+01, 1.86346394e+01, 4.07614936e+01,\n", - " 4.32410049e+01, -2.61668170e+01, -2.33399165e+01, 4.07033688e+01,\n", - " 5.97497534e+01, 4.02057397e+01, 3.46353744e+01, 4.19376493e+01,\n", - " 1.38041262e+01, 1.33832977e+01, 1.37679707e+02, 1.37921807e+02,\n", - " 3.99657105e+01, 3.83602782e+00, 3.28283249e+01, 2.78967243e+01,\n", - " -2.63582785e+01, 3.43643761e+01, -4.68494910e+00, -4.62664713e+00,\n", - " 2.56160042e+01, -3.39726572e+01, 3.31175336e+01, 9.47646046e+01,\n", - " 3.84466643e+01, 3.96217880e+01, 3.96369318e+01, -2.49312901e+01,\n", - " 3.37251756e+01, 3.42659898e+01, 2.45380773e+01, 2.28457373e+01,\n", - " -1.46162847e+01, -1.78782867e+01, 4.33481097e+01, 3.62385003e+01,\n", - " 7.60749153e+01, 6.10706388e+01, -1.87939114e+01, -4.49885875e+01,\n", - " 3.67283911e+01, 3.64084294e+01, 4.00889013e+01, -7.58544459e-01,\n", - " 6.43545840e+00, -1.75312401e+01, 3.81344481e+01, 4.09754109e+01,\n", - " -1.78449861e+01, 3.38489227e+01, 3.52072729e+01, 3.81410259e+01,\n", - " -1.48191250e+01, -1.92329901e+01, 4.23147583e+01, 3.20467037e+01,\n", - " 3.69045870e+01, 3.51861452e+01, 4.13325046e+01, 4.03347573e+01,\n", - " 4.32958470e+01, 4.70394470e+01, 5.73748857e+01, 3.91976372e+01,\n", - " 3.94350638e+01, 4.22730551e+01, 4.15261849e+01, 3.97414541e+01,\n", - " 3.43532805e+01, 4.15776492e+01, 2.63012063e+01, 9.98807588e+00,\n", - " 3.76794737e+01, 2.91504873e+01, 3.69451890e-01, 5.65363604e+01,\n", - " 3.22285514e+01, 1.26365984e+01, 2.79719937e+01, 4.26997655e+01,\n", - " -4.09035695e+00, -2.13352115e+01, -4.20383571e+01, 1.66492209e+00,\n", - " 1.34958085e+01, 3.87488860e+01, 4.01172232e+01, 4.08126673e+01,\n", - " 2.04129809e+01, -1.33671145e+01, 6.52056171e+00, 4.16944052e+01,\n", - " 3.25538029e+01, 5.86087737e+01, 9.77588644e+01, 2.97643589e+01,\n", - " 4.19934097e+01, 4.04598744e+01, 8.11365969e-01, 3.94452422e+01,\n", - " 2.70045586e+01, 9.26770535e+01, 4.10334864e+01, 4.41813078e+01,\n", - " 3.17672823e+01, 3.40473929e+01, 3.40140924e+01, -7.91248007e+00,\n", - " 3.09317508e+00, -1.73719935e+01, 2.35165458e+01, 1.59017135e+01,\n", - " 3.93184436e+01, 3.80759160e+01, -5.33997503e+00, 1.11546016e+00,\n", - " 3.03777082e+01, 4.04131263e+01, 3.41468907e+01, 3.48430159e+01,\n", - " 3.48567328e+01, 3.88061827e+01, 3.22925820e+01, 3.89516323e+01,\n", - " 3.81183377e+01, 5.81985491e+01, 1.83349573e+01, -9.52143544e+00,\n", - " 4.13353457e+01, -1.03258418e+01, -2.38322664e+01, 4.23984157e+01,\n", - " 1.87511992e+01, 1.74505986e+01, -2.30298645e+01, -3.56046153e+00,\n", - " 1.19914395e+02, 1.21904973e+02, 8.75249233e+01, 3.41232800e+01,\n", - " 3.32655342e+01, 3.81064847e+01, 2.76597993e+01, 3.84049174e+01,\n", - " 3.77005877e+01, 3.71206640e+01, 3.13707168e+01, 1.06898300e+02,\n", - " -1.90976727e+01, -1.77856186e+01, 8.64015032e+00, 4.27767861e+01,\n", - " 2.60760941e+01, -1.72831460e+01, -1.81460728e+00, -2.55957625e+01,\n", - " 3.89152301e+01, 3.43037632e+01, -3.58448583e+01, -8.28534517e+01,\n", - " 4.06060813e+01, 3.11726965e+01, 4.40003563e+01, 3.11919187e+01,\n", - " 3.90246480e+01, 3.90720998e+01, 3.42971963e+01, 4.19289847e+01,\n", - " -6.80855766e+00, -1.73470278e+01, 4.13205468e+01, 3.52992557e+01,\n", - " 4.40775570e+01, 1.22185400e+02, 2.30414159e+01, 3.08279888e+01,\n", - " -1.70477894e+01, -3.00058871e+01, 4.33210284e+01, 3.89656535e+01,\n", - " 4.15562198e+01, 4.20426798e+01, 3.60708136e+00, -1.31353718e+01,\n", - " 3.18963499e+01, 5.09577620e+00, 5.77865060e+00, 1.09076916e+02,\n", - " -2.18795625e+01, -2.37458115e+01, 1.68642844e+01, -2.96871001e+01,\n", - " -2.95115466e+01, 3.69463839e+01, 3.17058619e+01, 4.46258748e+01,\n", - " 3.77904566e+01, -1.24005915e+01, -1.21440332e+01, 1.21326321e+01,\n", - " 4.39917547e+01, 4.22940489e+01, -3.93447530e+01, 3.51013987e+01,\n", - " 4.35081847e+01, 3.61354416e+01, 2.19445305e+01, 2.04792523e+01,\n", - " 3.64122447e+01, 4.22149510e+01, 4.26066119e+01, 4.22484393e+01,\n", - " 4.18175435e+01, -3.51862729e+01, 2.35946214e+01, 4.38131579e+01,\n", - " 2.82823225e+01, 1.00248564e+02, 1.24602240e+01, 3.85099812e+01,\n", - " 3.95253213e+01, -2.35118158e+01, 3.82760930e+01, 4.19093402e+01,\n", - " -2.19276813e+01, 3.52245383e+01, 6.63391253e+01, 1.18034035e+02,\n", - " -1.40962051e+01, -3.51194622e+01, -3.35780163e+01, -3.45530160e+01,\n", - " 2.70449463e+01, 4.15994560e+01, 4.26293973e+01, 4.13716955e+01,\n", - " 7.69796865e+01, 4.27036718e+01, 3.94247849e+01, 5.75342778e+00,\n", - " 4.98939494e+01, 3.12731504e+01, 3.34444375e+01, 3.54364500e+01,\n", - " 1.42314534e+01, -2.88821189e+01, -9.07634742e+00, 3.17203987e+01,\n", - " 1.32890181e+00, -5.18531021e+00, 2.41403078e+01, 3.16813251e+01,\n", - " 3.28486475e+01, 4.81248725e+00, 1.18154400e+02, 4.15974639e+01,\n", - " 3.86508532e+01, 2.86932184e+01, -8.72625700e+00, 3.32933441e+01,\n", - " 4.08377253e+01, 3.34343255e+01, 2.00377440e+01, -9.91565195e+00,\n", - " -2.82814027e+01, 3.41206730e+01, -4.79864348e+01, 1.15508403e+01,\n", - " 3.79324589e+01, 3.72480147e+01, 3.64155503e+01, 3.07428934e+01,\n", - " 3.14883375e+01, 2.67406175e+01, 2.73389178e+01, -5.95894467e+00,\n", - " 2.56400462e+01, 1.96832155e+01, 2.28754773e+01, 2.41156770e+01,\n", - " 1.13434028e+02, 9.59206256e+01, 1.83806661e+01, 1.74464971e+01,\n", - " 1.35022688e+02, 3.09518659e+01, 3.34263072e+01, 1.93583043e+01,\n", - " 8.75015944e+00, 3.99247744e+01, 2.33311421e+01, 4.38600924e+01,\n", - " 1.22555994e+02, 3.52232898e+01, 3.88741099e+01, 3.27515637e+01,\n", - " 3.45714232e+01, 3.20584168e+01, 3.53178419e+01, 3.45975424e+01,\n", - " 1.97188532e+01, 4.27106942e+01, 1.92612216e+01, 3.42123338e+01,\n", - " -2.32770533e+01, -3.34495750e+01, 3.77004737e+01, 3.18686772e+01,\n", - " 3.27377416e+01, 7.03770593e+00, 2.86699664e+01, 3.60765504e+01,\n", - " 4.18500115e+01, 2.77295518e+01, 7.46497653e+00, 3.13582256e+01,\n", - " 3.91272468e+01, 3.68096088e+01, 3.36202824e+01, 8.07101943e+01,\n", - " 3.94380001e+01, 3.18906312e-01, 3.59843719e+01, 2.55335288e+01,\n", - " 3.81050496e+01, -1.65309021e+01, -1.12365907e+00, -6.11021437e-01,\n", - " 5.52081310e+01, 1.62537170e+01, 1.45080813e+01, -1.47219959e+01,\n", - " 3.57608324e+01, 2.85920019e+01, 2.54840490e+01, 1.78897239e+01,\n", - " -2.97378958e+01, -3.01523685e+01, 2.18055348e+01, 3.70043790e+01,\n", - " 3.46574498e+01, 4.19302466e+01, 9.46182832e+01, 8.05676563e+01,\n", - " -2.77293185e+01, -1.26087983e+01, 1.01251949e+01, 3.93828424e+01,\n", - " 3.94166642e+01, 4.07700320e+01, 3.31425330e+01, -2.63654183e+01,\n", - " 4.27024251e+01, 3.32059059e+01, 3.79675025e+01, 3.90985370e+01,\n", - " 4.48921002e+01, 2.80783711e+01, 2.70235568e+01, 3.36547333e+01,\n", - " 2.72645488e+01, 3.00515344e+01, 1.32719536e+01, 3.47244296e+01,\n", - " 3.48610196e+01, 3.45280373e+01, 4.31741956e+01, -2.30453464e+01,\n", - " -2.52514144e+01, 1.64557626e+01, 7.13634203e+01, -3.03881715e+01,\n", - " -1.95543043e+01, -5.36051129e-01, 3.42324441e+01, -1.48802632e+01,\n", - " 2.27582383e+01, 2.27573276e+01, -2.63277034e+01, 3.18857775e+01,\n", - " 2.99686051e+01, 3.89917727e+01, 3.83945553e+01, 1.33359640e+01,\n", - " 7.88938605e+00, 4.22953770e+01, 4.22045169e+01, 2.51839354e+01,\n", - " -1.93297675e+01, 4.18836749e+01, 3.44102564e+01, 2.58046149e+01,\n", - " -1.00241246e+01, 2.97695513e+01, 3.63227075e+01, 2.22212724e+01,\n", - " 4.27712212e+01, -5.64599100e+01, -9.12153644e+00, 2.25941371e+01,\n", - " 1.11519448e+01, 3.81246453e+01, 3.57748709e+01, -9.50322594e+00,\n", - " 3.86576346e+01, 1.84796745e+01, -4.67039410e+01, 2.60942315e+01,\n", - " 3.09657272e+01, -3.32117733e+01, -3.27221277e+01, -1.46069096e+01,\n", - " 7.76041745e+00, 3.57167332e+01, -2.88629630e+01, 5.02640362e-01,\n", - " -1.83669490e+01, 8.68708066e+00, -1.34040386e+01, 3.35493422e+01,\n", - " 4.14588015e+01, 7.59898375e+01, 1.47370846e+01, -3.63372762e+00,\n", - " 3.33293511e+01, 6.20000115e+01, 2.64671544e+01, -3.18560617e+01,\n", - " 4.21892350e+01, 1.07840018e+01, 3.06120949e+01, 9.20540274e+01,\n", - " 4.07229310e+01, 3.96902470e+01, 3.39304085e+01, 1.51545365e+01,\n", - " 3.94401543e+01, 3.62495512e+01, 3.39763043e+01, -9.40809539e+00,\n", - " 1.10531413e+02, 7.52842458e+01, 3.07324721e+01, 3.09792097e+01,\n", - " 6.91505061e+01, 4.15269473e+01, 8.16571106e+01, 3.53477673e+01,\n", - " 5.14250409e+01, 4.03801922e+01, -9.33273179e+00, 3.39781650e+01,\n", - " 1.48637276e+01, 2.70277671e+01, 4.26812434e+01, 9.81514411e+01,\n", - " -8.56679437e+00, 7.33851926e+00, 1.36257493e+01, 2.51599794e+01,\n", - " 3.49954252e+01, 6.19334253e+01, 3.70374057e+01, 3.44770245e+01,\n", - " -1.32064812e+00, 2.52658352e+01, 1.75622614e+01, 3.42257884e+01,\n", - " 1.03295640e+02, 3.14168868e+01, 4.81486187e+00, 3.07391357e+01,\n", - " 4.33502094e+01, -1.12271786e+01, -2.52604102e+01, 3.23152511e+01,\n", - " 3.14119401e+01, 3.11156584e+01, 1.27062036e+01, -2.57239858e+01,\n", - " 6.60267151e+01, 2.84916928e+01, 3.31138493e+01, 3.12417874e+01,\n", - " 4.21756414e+01, 1.44276131e+01, 3.31967564e+01, -1.30299558e+01,\n", - " 5.25524360e+00, 2.41738095e+01, 6.33127679e+01, 4.06271303e+01,\n", - " -1.47949803e+00, 6.29618049e+00, 2.64515572e+01, -1.06208813e+01,\n", - " 3.96303690e+01, 4.26324911e+01, 4.04040585e+01, 3.96497876e+01,\n", - " 3.77005483e+01, -2.63626288e+01, -2.43898358e+01, -2.18275193e+01,\n", - " 2.47499029e+01, 6.81147426e+01, -2.61068716e+01, 2.69159567e+01,\n", - " 2.67239020e+01, -3.20947021e+01, 2.87593741e+01, 2.64756666e+01,\n", - " 1.74571735e+01, 3.29953056e+01, 2.45112477e+01, -1.48149432e+01,\n", - " -3.82443108e+00, -1.38658292e+01, -3.17157940e+01, 6.26059953e+01,\n", - " -4.14879703e+01, 2.14790242e+01, 3.94379990e+01, -2.99565929e+01,\n", - " -4.19910014e+00, -1.54230044e+01, -3.41423533e+01, 4.96630166e+01,\n", - " 3.65964200e+01, 2.54973606e+00, 3.19306001e+01, 3.09679689e+01,\n", - " 3.83506232e+01, 3.82264149e+01, -2.50132755e+01, 3.85918870e+01,\n", - " 1.74438806e+01, -3.51320942e+01, 3.04140683e+01, 3.82103189e+01,\n", - " 3.14563330e+01, 2.47339956e+01, 1.02286737e+02, 3.28030758e+01,\n", - " -4.14740440e+01, 3.18357972e+01, 3.20797686e+01, 3.27685973e+01,\n", - " 3.29701941e+01, -3.06511431e+01, 2.90525648e+01, 2.90854894e+01,\n", - " 3.90416527e+01, 3.47471501e+01, 3.66874009e+01, 4.35437312e+01,\n", - " 1.81702067e+01, 1.33639406e+02, 3.54056582e+01, 2.13562504e+01,\n", - " 1.39179719e+01, 2.78440994e+01, 1.03519426e+01, 4.41380144e+01,\n", - " 4.19922245e+01, 1.28962228e+02, 2.73185475e+01, 3.75002253e+01,\n", - " 1.69149229e+01, 3.14853475e+01, 3.29677804e+01, -3.54136195e+01,\n", - " 3.98756477e+01, -7.13365756e+01, 3.65807199e+01, 4.27106571e+01,\n", - " -8.10024285e+01, 3.22185534e+01, 3.17280925e+01, 3.35566516e+01,\n", - " -1.66344910e+00, -7.30126681e-01, -1.02152399e+01, 1.71478540e+01,\n", - " 2.28408250e+01, -4.41298128e-01, -8.05322796e-01, 4.71219059e+01,\n", - " -7.14683223e-01, -1.91993631e+01, 1.84022908e+01, -3.64128301e+01,\n", - " -9.36442545e+01, 1.07833020e+02, -1.20836387e+00, -7.21010933e+01,\n", - " 6.98043480e+01, 7.34394979e+01, 1.72776122e+00, 7.33417550e+01,\n", - " 7.11831002e+01, -2.32069630e+01, 1.48856843e+02, 4.46417005e+01,\n", - " 4.41692821e+01, -4.91421160e-01, 1.65315368e+02, -5.56123959e+01,\n", - " -1.61706547e+01, 1.47810070e+02, -2.35189229e+01, 7.39851743e+01,\n", - " -1.20836383e+00, -7.21010930e+01, 6.98043476e+01, 7.34394981e+01,\n", - " 0.00000000e+00, 0.00000000e+00, 6.04041604e+01, 7.23005672e+01,\n", - " 4.58486075e+01, 6.42853041e+01, 3.26579036e+01, 3.14863938e+01,\n", - " 2.67754747e+01, 3.23285347e+01, 5.38864446e+01, 4.23407070e+01,\n", - " 5.08231436e+01, 5.25980522e+01, 5.78863235e+01]), array([ 6.15339356e+00, -7.64809271e+00, 2.72609952e+01, 7.90192104e-01,\n", - " 4.52535401e+01, 4.54029974e+01, 4.63558322e+01, 4.33562745e+01,\n", - " 2.57761703e+01, -6.35693298e+00, 4.37258708e+01, 4.50525754e+01,\n", - " 1.23827947e+01, 3.80154768e+01, 3.83568126e+01, 3.98570701e+01,\n", - " 6.06156038e+00, 1.50532569e+01, 2.54442025e+01, 3.65245653e+01,\n", - " 4.02714413e+01, 3.92790088e+01, 3.60886304e+01, -1.72739957e+01,\n", - " 4.55556376e+01, 4.42075584e+01, 3.59514881e+01, 3.21736603e+01,\n", - " 5.52029284e+00, 1.40047483e+02, 2.30418989e+01, 3.48433472e+01,\n", - " 3.90977372e+01, 2.49031519e+00, 3.51958502e+01, 8.63313576e+00,\n", - " 2.83745870e+01, 1.88157149e+01, -1.49662108e+01, -4.71047947e-01,\n", - " 2.81715064e+01, 3.05191169e+01, 3.41699562e+01, 2.63527961e+01,\n", - " 4.64097012e+01, -6.76915818e+01, 2.45957036e+01, 7.42411433e+01,\n", - " 4.64286433e+01, 2.96839145e-01, 4.37077536e+01, 4.28936679e+01,\n", - " 4.00952596e+01, 4.62376718e+01, 6.28912608e+00, 3.87368368e+01,\n", - " 3.85443986e+01, 9.79346521e+01, 8.98364319e+01, 4.44280004e+01,\n", - " 2.94303660e+01, 1.86235741e+01, -2.86321932e+01, -2.87335142e+01,\n", - " 2.05857285e+01, 2.70162206e+01, -2.85303021e+01, -3.10680529e+01,\n", - " 3.20415377e+01, 3.10392150e+02, 1.95358959e+01, 2.73720404e+01,\n", - " 4.01803193e+01, 4.07123684e+01, 3.06915459e+01, 1.46375208e+01,\n", - " -3.36334506e+01, 3.52195727e+01, 3.08198120e+01, -2.94031152e+01,\n", - " 4.35907568e+01, 8.32714951e+01, 7.12858345e+01, 1.01845840e+02,\n", - " 4.00947477e+01, 3.99640181e+01, 3.33089059e+01, 3.71106495e+01,\n", - " 3.70560779e+01, -9.88657007e+00, -1.54050235e+01, -1.69383613e+01,\n", - " 1.81870979e+01, 1.62867079e+01, 8.17653779e+01, 6.78866166e+01,\n", - " 4.57437504e+01, 4.57534564e+01, -5.20674949e+01, -1.69337058e+01,\n", - " 6.34780386e+01, -1.37443146e+01, 6.26126412e+00, -2.90661044e+01,\n", - " 3.61046052e+01, 3.56524385e+01, -2.83993072e+01, 3.97519205e+01,\n", - " 4.26543521e+01, 3.92869295e+01, 4.17686565e+01, 3.74800410e+01,\n", - " 4.76854325e+00, -3.08081076e+00, -1.39838618e+01, 4.47628745e+00,\n", - " 4.47925421e+01, 1.15431089e+02, 1.08490278e+02, 1.13890256e+01,\n", - " -2.54245540e+01, -7.51064951e+00, -6.14873948e+00, -2.45180995e-01,\n", - " 3.12605334e+00, 1.39238146e+02, 6.97317436e+01, 6.92524084e+01,\n", - " 1.73079328e+01, 1.34603383e+01, 3.54945585e+01, 2.80112671e+01,\n", - " 4.03971479e+01, 4.00616285e+01, -2.39556092e+01, -2.16651701e+01,\n", - " 2.09028563e+01, 3.91409823e+01, 4.45308589e+01, 4.45247875e+01,\n", - " 8.49965028e+01, 8.28108884e+01, -2.41873548e+01, -1.91637643e+01,\n", - " 3.66723282e+01, 4.36042514e+01, 4.34739337e+01, 5.10889611e+00,\n", - " -2.12372918e+01, 1.08347217e+02, -1.50508739e+01, 1.60118483e+01,\n", - " 8.41496575e-01, -6.47565654e+00, 7.55497023e+01, 3.72453296e+01,\n", - " 3.36029965e+01, 3.45471287e+01, 4.17888164e+01, -9.15205823e+00,\n", - " -8.46465396e+00, 4.49866489e+01, -1.87068863e+01, -2.32148124e+01,\n", - " -1.83692153e+01, -1.83738790e+01, 1.24583731e+02, 1.06672524e+02,\n", - " 3.34549125e+01, 4.32408786e+01, 2.84311895e+01, 3.40224811e+01,\n", - " 3.39454344e+01, 2.18053355e+01, 1.03225323e+01, 4.52650407e+01,\n", - " 4.60594250e+01, 2.26868492e+01, 2.25942155e+01, 3.90462184e+01,\n", - " 4.55905706e+01, 2.74335380e+01, 3.57564162e+01, 3.92592595e+01,\n", - " 3.72073708e+01, -7.82841962e-01, 2.08928948e+01, 1.55581327e+01,\n", - " 2.17785917e+01, 9.40010101e+00, 9.30745799e+00, 3.77940066e+01,\n", - " 1.80268643e+00, 4.46637838e+01, 4.79569442e+01, 4.51480907e+01,\n", - " 2.48584552e+01, 2.89872833e+01, -2.74027111e+00, 3.96461458e+01,\n", - " 4.58487687e+01, -8.38485906e+00, 3.49986939e+01, 3.55469794e+01,\n", - " 1.32620850e+02, 3.60677057e+01, 3.59620851e+01, 2.49808128e+01,\n", - " 3.54298068e+01, 4.45256830e+01, 4.50680859e+01, 1.22850280e+01,\n", - " 1.02176002e+01, 5.18933355e+01, 1.75182323e+01, -4.16060090e+00,\n", - " 4.55660277e+01, 4.55671975e+01, 7.47719517e+00, 6.98077130e+00,\n", - " 2.54237590e+01, -3.59144514e+00, 2.31001617e+01, -2.32000799e+01,\n", - " 2.42726570e+01, 2.84996016e+01, 2.27326539e+01, 2.21371150e+01,\n", - " 3.32146183e+01, 2.83835575e+01, -1.61117312e+01, -8.09692997e+00,\n", - " -2.93741228e+01, -3.09961818e+01, 4.16059991e+01, 3.54704005e+01,\n", - " 1.37024481e+01, 3.51405425e+01, 4.02972199e+01, 7.58360261e+01,\n", - " 4.55809191e+01, 4.38814836e+01, 3.22792602e+01, 4.39183826e+01,\n", - " 4.10589643e+01, -2.91339116e+01, -4.45992494e-01, -1.14412367e+01,\n", - " -2.24128483e+00, 3.44950008e+01, 3.34738935e+01, 1.38141313e+02,\n", - " 5.94540486e+01, 2.84740785e+01, 4.28277511e+01, 4.59365056e+01,\n", - " 3.63042547e+01, 4.40093793e+01, 3.66681678e+01, 9.88751149e+00,\n", - " 1.14004400e+01, 1.86963340e+01, 1.04052361e+01, 2.54655986e+01,\n", - " 3.73851379e+01, -7.80632588e+00, -3.94133691e+01, -2.86980584e+01,\n", - " 4.44743316e+01, 1.23848614e+02, 2.37663861e+01, 2.94783527e+01,\n", - " 3.98470522e+01, -1.78998311e+01, -1.81125377e+01, 3.22068718e+01,\n", - " 3.58383615e+01, 2.75566853e+01, 1.32498269e+01, 1.02462307e+01,\n", - " 1.30807288e+01, 3.66978849e+01, 3.64042408e+01, 3.68863210e+01,\n", - " 4.13297043e+01, 2.34303351e+01, 3.60185981e+01, 2.30140055e+01,\n", - " 1.05490511e+01, 8.76940133e+00, 1.36792683e+02, 1.05007482e+02,\n", - " 3.44806719e+00, 5.39133748e+00, 4.41259733e+01, 3.18635482e+01,\n", - " 1.79807137e+01, 7.71194453e+01, 3.25246589e+00, -1.78442687e+00,\n", - " 2.70159944e+01, 3.16921205e+01, 2.16020971e+01, 4.25982686e+01,\n", - " 4.50777766e+01, -1.85304964e+01, -1.56956812e+01, 4.25312055e+01,\n", - " 6.27391823e+01, 4.20334880e+01, 3.64605328e+01, 4.37435611e+01,\n", - " 1.56315615e+01, 1.52107336e+01, 1.37566368e+02, 1.37809139e+02,\n", - " 4.17934218e+01, 5.89826731e+00, 3.48944235e+01, 2.97241057e+01,\n", - " -1.84005595e+01, 3.62462762e+01, -1.45337288e+00, -1.47223256e+00,\n", - " 2.80719791e+01, -2.59833318e+01, 3.49994366e+01, 9.48410976e+01,\n", - " 4.02761968e+01, 4.14520411e+01, 4.14665450e+01, -9.14881017e+00,\n", - " 3.55524656e+01, 3.60896603e+01, 2.64177479e+01, 2.47254080e+01,\n", - " 8.30884092e-01, -2.43093303e+00, 4.51794753e+01, 3.81204511e+01,\n", - " 7.83535244e+01, 6.33514695e+01, -2.99163134e+00, -2.91830051e+01,\n", - " 3.85636591e+01, 3.82436743e+01, 4.19224338e+01, 4.69912975e+00,\n", - " 1.03428100e+01, -1.36238877e+01, 4.01505446e+01, 4.28123670e+01,\n", - " -1.23289651e+01, 3.56841138e+01, 3.70429131e+01, 3.99502787e+01,\n", - " 8.93105341e-01, -3.60801638e+00, 4.41507236e+01, 3.38740227e+01,\n", - " 3.87398689e+01, 3.70213440e+01, 4.31682056e+01, 4.21624532e+01,\n", - " 4.51154117e+01, 5.12551101e+01, 6.15982912e+01, 4.13654165e+01,\n", - " 4.15969904e+01, 4.41092467e+01, 4.33622474e+01, 4.15691648e+01,\n", - " 3.61884717e+01, 4.34571283e+01, 2.86306723e+01, 1.38953809e+01,\n", - " 3.95588475e+01, 3.10301275e+01, 5.12391417e+00, 6.12915103e+01,\n", - " 3.42833103e+01, 1.79488529e+01, 3.06502217e+01, 4.45356490e+01,\n", - " 1.01190080e+00, -1.61775402e+01, -3.81310034e+01, 6.76231205e+00,\n", - " 1.81146685e+01, 4.34456680e+01, 4.21783789e+01, 4.28593361e+01,\n", - " 2.35676551e+01, -1.06575574e+01, 9.68334398e+00, 4.35734523e+01,\n", - " 3.44328544e+01, 5.84495830e+01, 9.76071990e+01, 3.30062757e+01,\n", - " 4.38741618e+01, 4.23406264e+01, 2.68725724e+00, 4.16064788e+01,\n", - " 2.91296285e+01, 9.21009289e+01, 4.28704042e+01, 4.60043450e+01,\n", - " 3.43463797e+01, 3.58801554e+01, 3.58468534e+01, -2.29910522e+00,\n", - " 4.97287643e+00, -9.13696008e+00, 2.55787534e+01, 1.80344373e+01,\n", - " 4.17575619e+01, 4.05147536e+01, -2.66321601e+00, 3.71945584e+00,\n", - " 3.22612057e+01, 4.22375172e+01, 3.62054235e+01, 3.66757980e+01,\n", - " 3.66895001e+01, 4.06864156e+01, 3.41143602e+01, 4.07830571e+01,\n", - " 3.99506670e+01, 6.11890257e+01, 2.22414936e+01, -5.61489816e+00,\n", - " 4.31709659e+01, -5.13325042e+00, -1.89609815e+01, 4.42265787e+01,\n", - " 2.15173012e+01, 1.92723712e+01, -1.54205913e+01, -6.66209349e-01,\n", - " 1.19818845e+02, 1.21806470e+02, 8.75825113e+01, 3.59943263e+01,\n", - " 3.51361213e+01, 4.02675994e+01, 2.98032699e+01, 4.05660341e+01,\n", - " 3.97608157e+01, 3.91808952e+01, 3.32057205e+01, 1.06685559e+02,\n", - " -1.63895392e+01, -1.50757501e+01, 1.17096209e+01, 4.46127514e+01,\n", - " 2.82196406e+01, -1.45908064e+01, 3.61172348e-01, -1.75856106e+01,\n", - " 4.10830725e+01, 3.66625356e+01, -2.82824164e+01, -7.52910093e+01,\n", - " 4.24323898e+01, 3.30067916e+01, 4.58284602e+01, 3.30389596e+01,\n", - " 4.08703189e+01, 4.08998092e+01, 3.61247283e+01, 4.38097335e+01,\n", - " -1.62024188e+00, -1.21725249e+01, 4.31563087e+01, 3.71349359e+01,\n", - " 4.59033745e+01, 1.21337259e+02, 2.57774610e+01, 3.35640340e+01,\n", - " -1.24234407e+01, -2.53797034e+01, 4.51523940e+01, 4.12561872e+01,\n", - " 4.33755645e+01, 4.38620177e+01, 8.71916727e+00, -6.10160903e+00,\n", - " 3.37321261e+01, 1.02038570e+01, 1.08871980e+01, 1.09068046e+02,\n", - " -1.43057205e+01, -1.61699648e+01, 1.95499276e+01, -2.45149718e+01,\n", - " -2.43323242e+01, 3.87681374e+01, 3.35878105e+01, 4.64435496e+01,\n", - " 3.98454629e+01, -1.05209231e+01, -1.02643649e+01, 1.40122897e+01,\n", - " 4.58137013e+01, 4.41203823e+01, -3.23169191e+01, 3.75408516e+01,\n", - " 4.53349867e+01, 3.85748932e+01, 2.43838173e+01, 2.23589207e+01,\n", - " 3.82799397e+01, 4.40948953e+01, 4.44866996e+01, 4.40956464e+01,\n", - " 4.36830404e+01, -2.71752999e+01, 2.82938925e+01, 4.56399641e+01,\n", - " 3.01662380e+01, 9.99237607e+01, 1.48924117e+01, 4.03463007e+01,\n", - " 4.13739204e+01, -1.58453267e+01, 4.01513234e+01, 4.37462650e+01,\n", - " -1.43550098e+01, 3.70597150e+01, 6.99580091e+01, 1.17958806e+02,\n", - " 1.63951610e+00, -1.93713423e+01, -2.60201902e+01, -2.69939493e+01,\n", - " 2.91833760e+01, 4.34287879e+01, 4.44588001e+01, 4.32011283e+01,\n", - " 7.94477496e+01, 4.45329650e+01, 4.15874078e+01, 8.18561599e+00,\n", - " 5.41597177e+01, 3.31598482e+01, 3.52794563e+01, 3.75031561e+01,\n", - " 1.85555840e+01, -2.36789030e+01, 3.97249956e+00, 3.43971837e+01,\n", - " 6.83840622e+00, -2.57317892e-01, 2.65655379e+01, 3.35030642e+01,\n", - " 3.46703982e+01, 1.03477583e+01, 1.17551950e+02, 4.34332287e+01,\n", - " 4.05174437e+01, 3.13711080e+01, -6.84001206e+00, 3.57199206e+01,\n", - " 4.26651793e+01, 3.52662558e+01, 2.26964083e+01, -4.71299583e+00,\n", - " -2.30636820e+01, 3.59427090e+01, -3.99737649e+01, 1.57843541e+01,\n", - " 4.00019771e+01, 3.93065636e+01, 3.85766670e+01, 3.30511459e+01,\n", - " 3.37972749e+01, 2.99825343e+01, 3.05808347e+01, -1.41662861e+00,\n", - " 2.89704791e+01, 2.30136626e+01, 2.56408042e+01, 2.61852584e+01,\n", - " 1.13419629e+02, 9.59278771e+01, 2.11483971e+01, 2.13538762e+01,\n", - " 1.34901394e+02, 3.27885018e+01, 3.52529057e+01, 2.37258623e+01,\n", - " 1.32017425e+01, 4.17270245e+01, 2.60943836e+01, 4.56620002e+01,\n", - " 1.22526958e+02, 3.70598884e+01, 4.09156973e+01, 3.46335180e+01,\n", - " 3.64533776e+01, 3.39297138e+01, 3.71547021e+01, 3.64344047e+01,\n", - " 2.24866002e+01, 4.45474880e+01, 2.20289706e+01, 3.65453218e+01,\n", - " -1.57032248e+01, -2.58871331e+01, 3.95797291e+01, 3.37506310e+01,\n", - " 3.46196959e+01, 1.27184760e+01, 3.07393619e+01, 3.81434470e+01,\n", - " 4.36859710e+01, 2.97991494e+01, 9.53457427e+00, 3.34278193e+01,\n", - " 4.09797007e+01, 3.86620629e+01, 3.78898593e+01, 8.29829444e+01,\n", - " 4.15997279e+01, 2.92290355e+00, 3.78195485e+01, 2.84350689e+01,\n", - " 4.05445013e+01, -1.53056556e+00, 2.78372018e+00, 1.41242542e+01,\n", - " 5.76765879e+01, 1.80811000e+01, 1.63354643e+01, 1.03400659e+00,\n", - " 3.75960091e+01, 3.10464834e+01, 2.99049364e+01, 2.23107101e+01,\n", - " -2.45605527e+01, -2.49733998e+01, 2.57095355e+01, 3.91406935e+01,\n", - " 3.64847157e+01, 4.38093171e+01, 9.46834782e+01, 8.29284282e+01,\n", - " -1.97809463e+01, 2.97467754e+00, 1.30390934e+01, 4.15483039e+01,\n", - " 4.15798369e+01, 4.28167006e+01, 3.49692299e+01, -1.84070993e+01,\n", - " 4.45335757e+01, 3.50878143e+01, 3.97767961e+01, 4.10460417e+01,\n", - " 4.66866150e+01, 3.01478730e+01, 2.91618433e+01, 3.57911611e+01,\n", - " 2.91484665e+01, 3.19354521e+01, 1.54065868e+01, 3.65704567e+01,\n", - " 3.66954137e+01, 3.63493149e+01, 4.50054162e+01, -1.54367274e+01,\n", - " -2.01934626e+01, 1.83444630e+01, 7.38298926e+01, -2.51935577e+01,\n", - " -1.40443731e+01, 5.04240834e+00, 3.61144131e+01, -9.30146243e+00,\n", - " 2.55334164e+01, 2.55325823e+01, -1.83725534e+01, 3.37465053e+01,\n", - " 3.18404316e+01, 4.11593608e+01, 4.05621434e+01, 1.51577351e+01,\n", - " 9.71117505e+00, 4.41748364e+01, 4.40397678e+01, 2.72536988e+01,\n", - " -1.44443417e+01, 4.36863556e+01, 3.67041821e+01, 2.78742127e+01,\n", - " 3.06122399e+00, 3.18266467e+01, 3.83606943e+01, 2.46780956e+01,\n", - " 4.48178904e+01, -4.86432490e+01, -5.26825393e+00, 2.70133876e+01,\n", - " 1.35771840e+01, 3.99566772e+01, 3.76074322e+01, -6.72801650e+00,\n", - " 4.06995241e+01, 2.09364984e+01, -3.09109883e+01, 2.91970003e+01,\n", - " 3.27996836e+01, -2.56031074e+01, -1.69661157e+01, -1.21676203e+01,\n", - " 9.64008238e+00, 3.81238913e+01, -2.35155150e+01, 4.92886673e+00,\n", - " -1.40406314e+01, 1.25943867e+01, -9.49672063e+00, 3.56095351e+01,\n", - " 4.63150605e+01, 7.60672086e+01, 1.65645364e+01, 7.92607940e-01,\n", - " 3.51732292e+01, 6.42787606e+01, 2.86022790e+01, -2.61890320e+01,\n", - " 4.40682757e+01, 1.26114536e+01, 3.26976930e+01, 9.17305028e+01,\n", - " 4.27695997e+01, 4.17369158e+01, 3.57515781e+01, 1.76114873e+01,\n", - " 4.16017360e+01, 3.81315055e+01, 3.63318339e+01, -7.52839022e+00,\n", - " 1.10513681e+02, 7.54713840e+01, 3.26146558e+01, 3.28616615e+01,\n", - " 6.92377618e+01, 4.33607572e+01, 8.14548205e+01, 3.71846215e+01,\n", - " 5.15000671e+01, 4.24276363e+01, 6.11259285e+00, 3.58012355e+01,\n", - " 1.67433961e+01, 2.91994716e+01, 4.45153443e+01, 9.81497349e+01,\n", - " -5.88996693e+00, 1.03135017e+01, 1.60579523e+01, 2.70331583e+01,\n", - " 3.68768949e+01, 6.20873826e+01, 3.90201119e+01, 3.62992848e+01,\n", - " 3.78382939e+00, 2.73887478e+01, 2.19757525e+01, 3.60533205e+01,\n", - " 1.03316611e+02, 3.32993458e+01, 6.95186048e+00, 3.25998635e+01,\n", - " 4.52309812e+01, -9.35399887e+00, -2.02087804e+01, 3.41975163e+01,\n", - " 3.32559957e+01, 3.29981173e+01, 1.45858747e+01, -1.81501573e+01,\n", - " 6.54870836e+01, 3.03756083e+01, 3.49365014e+01, 3.32987519e+01,\n", - " 4.41583484e+01, 1.63124323e+01, 3.50790215e+01, -1.03531139e+01,\n", - " 9.68148491e+00, 2.62309284e+01, 6.31359769e+01, 4.24157577e+01,\n", - " 6.69743561e-01, 8.22499268e+00, 2.86254678e+01, -7.96221639e+00,\n", - " 4.14599806e+01, 4.47931407e+01, 4.22250283e+01, 4.14854298e+01,\n", - " 3.97607796e+01, -1.84045442e+01, -1.94868757e+01, -1.42536813e+01,\n", - " 2.69238133e+01, 7.18170906e+01, -1.84703196e+01, 2.93028913e+01,\n", - " 2.88621295e+01, -2.44351713e+01, 3.08979210e+01, 2.86142135e+01,\n", - " 2.02249045e+01, 3.50661401e+01, 2.65820823e+01, -6.57995856e+00,\n", - " 1.11477657e+01, -1.11879284e+01, -2.40761305e+01, 6.62257958e+01,\n", - " -2.58905218e+01, 2.42467732e+01, 4.15997269e+01, -2.23827533e+01,\n", - " -2.37171573e+00, -7.18789868e+00, -2.64547110e+01, 4.94618553e+01,\n", - " 3.84310698e+01, 4.61255058e+00, 3.40126400e+01, 3.28022880e+01,\n", - " 4.02247938e+01, 4.07146509e+01, -9.56603011e+00, 4.10047290e+01,\n", - " 2.02115926e+01, -2.74642511e+01, 3.22856335e+01, 4.02264154e+01,\n", - " 3.35136588e+01, 2.68107157e+01, 1.01935261e+02, 3.46368788e+01,\n", - " -2.56417814e+01, 3.38936076e+01, 3.39047467e+01, 3.45938121e+01,\n", - " 3.51064625e+01, -2.30736723e+01, 3.12136820e+01, 3.12466071e+01,\n", - " 4.13856566e+01, 3.71282288e+01, 3.85225775e+01, 4.54245197e+01,\n", - " 2.00120844e+01, 1.33542328e+02, 3.75420456e+01, 2.32789143e+01,\n", - " 1.58417490e+01, 3.00075461e+01, 1.47784417e+01, 4.38157394e+01,\n", - " 4.38281993e+01, 1.28865152e+02, 2.94568339e+01, 3.93513955e+01,\n", - " 1.87977003e+01, 3.33672713e+01, 3.48502408e+01, -2.78497520e+01,\n", - " 4.17113621e+01, -6.34521428e+01, 3.84437822e+01, 4.45447615e+01,\n", - " -6.97293153e+01, 3.43682495e+01, 3.36143700e+01, 3.54385536e+01,\n", - " -1.66344910e+00, 2.20414230e+00, -7.48223456e+00, 2.37788149e+01,\n", - " 2.56047096e+01, -4.40361915e-01, -8.04375286e-01, 4.88769772e+01,\n", - " 2.16383235e+00, -1.37830875e+01, 2.18592617e+01, -3.33636712e+01,\n", - " -8.58105314e+01, 1.07481544e+02, 3.40409618e+00, -6.06217900e+01,\n", - " 7.33611048e+01, 7.71048015e+01, 1.72776122e+00, 7.69898727e+01,\n", - " 7.47151380e+01, -1.74817849e+01, 1.48876252e+02, 4.64264306e+01,\n", - " 4.59589950e+01, -4.88623272e-01, 1.65108926e+02, -5.06338489e+01,\n", - " -1.28913787e+01, 1.47453284e+02, -1.22818889e+01, 7.64778146e+01,\n", - " 3.40409621e+00, -6.06217898e+01, 7.33611044e+01, 7.71048017e+01,\n", - " 0.00000000e+00, 0.00000000e+00, 6.01174162e+01, 7.19787817e+01,\n", - " 4.55828631e+01, 6.42853041e+01, 3.14222028e+01, 3.14865548e+01,\n", - " 2.67754747e+01, 3.23285347e+01, 5.38864446e+01, 4.23407070e+01,\n", - " 5.08231436e+01, 5.25980522e+01, 5.78863235e+01]), array([ 45.69018163, 64.19244156, 61.07066503, 34.67148836,\n", - " 72.56736589, 72.70231095, 73.65082245, 70.74487472,\n", - " 53.42927082, 21.30591596, 71.42851362, 72.75349381,\n", - " 62.81328988, 65.39077459, 65.63728248, 67.13754026,\n", - " 48.3648441 , 51.45806675, 52.74978667, 63.82993224,\n", - " 67.66358939, 66.66933212, 63.36418362, 52.81153029,\n", - " 73.26197166, 71.89762788, 63.2253741 , 61.77669418,\n", - " 35.32446358, 140.72827738, 73.49660637, 64.16105377,\n", - " 68.41532533, 30.18565256, 64.85622915, 36.32846388,\n", - " 56.31771782, 46.75997836, 12.72915412, 27.22430186,\n", - " 60.17333724, 62.52130844, 63.88872299, 57.9284269 ,\n", - " 73.53240715, 62.75073387, 66.98219869, 74.08917651,\n", - " 73.56387482, 72.25707134, 71.0873228 , 70.27345049,\n", - " 67.2802791 , 73.37078752, 38.3009119 , 70.72016545,\n", - " 70.52918191, 107.67322875, 89.663552 , 54.1791037 ,\n", - " 58.8057955 , 51.24393802, 43.81610519, 43.74393374,\n", - " 48.28098739, 54.71737857, 41.32888964, 38.95025041,\n", - " 59.73627588, 339.93447942, 47.23102808, 55.06744439,\n", - " 67.04824207, 67.58029115, 60.0141323 , 57.03033716,\n", - " 8.76002148, 66.85113182, 63.29837955, 43.05274504,\n", - " 43.25705868, 97.71266336, 85.72742967, 101.69554383,\n", - " 69.296369 , 69.02340438, 61.00357686, 67.65321783,\n", - " 67.70091762, 17.8088108 , 12.29034846, 53.11633062,\n", - " 45.88224512, 43.98196085, 96.02069592, 82.14216352,\n", - " 72.87686799, 72.88657391, 13.16225368, 48.29500487,\n", - " 98.41243705, 119.20982557, 58.08517842, 103.89226076,\n", - " 63.814563 , 63.36373821, 44.06158933, 70.0626889 ,\n", - " 70.21533158, 66.81156086, 71.36065712, 67.07345021,\n", - " 133.75748256, 48.120094 , 37.18832436, 135.58149583,\n", - " 74.38444391, 116.33048399, 109.39040829, 138.1756905 ,\n", - " 105.68253099, 41.72645375, 43.21522837, 50.33096378,\n", - " 53.60373721, 139.63994606, 79.37551999, 78.89941882,\n", - " 70.35965159, 68.07204735, 67.47255474, 60.01221474,\n", - " 70.55199271, 70.24818244, 48.65864348, 50.8609754 ,\n", - " 60.03978368, 71.07421454, 71.86446934, 71.86513017,\n", - " 87.14705317, 85.01771122, 45.56135636, 52.87153396,\n", - " 67.33778913, 71.21950398, 71.07422553, 44.24585433,\n", - " 48.31096998, 110.01782539, 54.73536744, 45.59775065,\n", - " 130.92791057, 74.34754577, 101.57650075, 66.8489296 ,\n", - " 62.06218277, 62.83273356, 69.47978481, 19.14414011,\n", - " 19.99928402, 72.33421031, 51.02048542, 46.64342088,\n", - " 53.72281961, 53.72133672, 126.44167765, 108.79018663,\n", - " 61.96266273, 70.9318557 , 58.17844599, 63.7697455 ,\n", - " 62.61513472, 49.50071883, 38.01815653, 72.48694763,\n", - " 73.23637182, 50.38202116, 50.28944232, 69.8289464 ,\n", - " 73.28167086, 57.22738731, 65.53264047, 68.53736408,\n", - " 66.49093944, 27.39093488, 55.04742087, 49.72138764,\n", - " 52.67949031, 40.30098346, 36.67800937, 65.17346578,\n", - " 29.12167887, 71.52066453, 74.80109252, 72.53764295,\n", - " 61.35609089, 65.48491962, 68.6789262 , 66.83599028,\n", - " 73.02298066, 72.41062008, 62.4655009 , 65.22806239,\n", - " 133.21828137, 63.77488576, 63.67014052, 56.55875753,\n", - " 67.00991961, 71.6849199 , 72.22797724, 68.51118635,\n", - " 65.48870593, 97.46431774, 63.97708064, 45.74904097,\n", - " 73.26963764, 73.27020987, 64.33259634, 63.7326783 ,\n", - " 60.21187158, 31.22917973, 50.79548906, 105.81298678,\n", - " 58.42858646, 66.67034414, 50.42802835, 49.83249717,\n", - " 60.90904504, 58.17748918, 51.68393476, 57.03117473,\n", - " 103.34792865, 101.68505761, 71.30281259, 62.83221019,\n", - " 48.66687888, 62.51293254, 67.99560249, 101.56682476,\n", - " 72.8102433 , 71.26804701, 59.66857834, 71.30352708,\n", - " 68.44651237, 103.65863019, 33.43558544, 23.52991786,\n", - " 31.64035251, 61.87666596, 60.8533715 , 138.8221348 ,\n", - " 89.62707301, 62.14343069, 70.16741567, 73.28239533,\n", - " 63.69296991, 71.69870015, 64.0562139 , 39.75842057,\n", - " 41.27169128, 69.19105535, 60.90405783, 53.18911931,\n", - " 65.06854886, 26.1046545 , 31.38278604, 41.99026038,\n", - " 71.910512 , 124.52496984, 51.08476978, 56.79671408,\n", - " 69.12557314, 54.60899287, 54.39643376, 61.20425021,\n", - " 63.54658188, 57.3723738 , 66.326837 , 63.42818529,\n", - " 43.98160833, 66.22441047, 65.93044402, 67.74659047,\n", - " 72.25985118, 50.8183728 , 63.72842221, 50.40421077,\n", - " 38.24435384, 36.46470408, 137.06295051, 104.94142411,\n", - " 30.7664613 , 32.70972719, 94.24017418, 82.26150898,\n", - " 46.97880765, 108.26751836, 32.26231558, 38.11870621,\n", - " 64.5333191 , 69.20944807, 57.38731919, 69.98482999,\n", - " 72.46431385, 51.19336301, 54.08702231, 69.85281651,\n", - " 97.58080998, 69.3544597 , 63.76535263, 70.90550927,\n", - " 42.95033417, 42.52951101, 138.86991379, 139.1241035 ,\n", - " 69.11413066, 34.89636527, 64.25705542, 57.04247713,\n", - " 53.71285339, 63.95757586, 35.79075121, 35.23014237,\n", - " 60.07360189, 46.3650702 , 62.71078874, 97.17256318,\n", - " 67.61014719, 68.79123396, 68.80108133, 123.45651117,\n", - " 62.87015853, 63.38107559, 54.11314684, 52.42080698,\n", - " 130.94321355, 127.68277044, 72.52677641, 65.83215929,\n", - " 102.72192399, 87.73638611, 129.76090192, 103.59408103,\n", - " 65.93925258, 65.61910059, 69.28543916, 59.33277551,\n", - " 52.73643418, 28.769742 , 68.81956961, 70.20022191,\n", - " 42.94572772, 63.05915247, 64.42121304, 67.13678891,\n", - " 132.97613089, 127.82626808, 71.53134325, 61.19193068,\n", - " 66.11556255, 64.39643789, 70.54693566, 69.48304512,\n", - " 72.3769302 , 100.1885545 , 110.58929973, 71.11552598,\n", - " 71.30519149, 71.49168373, 70.74375711, 68.88986451,\n", - " 63.56351097, 71.15110151, 59.53153839, 56.28865896,\n", - " 67.25209772, 58.72530001, 58.06325434, 114.23596285,\n", - " 63.56172916, 71.00339098, 64.45811963, 71.91570088,\n", - " 51.54120582, 34.76375749, 4.26263609, 57.25946125,\n", - " 65.84227753, 95.95616235, 71.03977997, 71.61444616,\n", - " 62.52473443, 23.38326863, 48.70070586, 71.26432988,\n", - " 62.12376452, 68.2253296 , 107.43889461, 70.52360351,\n", - " 71.57719764, 70.04366228, 30.35566785, 71.30973433,\n", - " 58.93070401, 95.24477308, 70.25798512, 73.29320407,\n", - " 67.00858543, 63.23758546, 63.20427227, 54.00004285,\n", - " 32.66850344, 71.66908454, 54.57661488, 47.89241872,\n", - " 73.39171738, 72.14682263, 32.12490527, 37.86249404,\n", - " 59.98377541, 69.53635187, 65.51103025, 64.03337185,\n", - " 64.04696561, 68.38573308, 61.39202122, 68.13075881,\n", - " 67.30493801, 96.0384434 , 64.62905563, 36.77267164,\n", - " 70.54928095, 46.06767313, 30.11360127, 71.55055184,\n", - " 55.66844387, 46.54999598, 54.1021746 , 34.21840261,\n", - " 120.56738199, 122.53305534, 89.79802721, 63.62746675,\n", - " 62.76596161, 69.96981022, 59.74115181, 70.26826018,\n", - " 69.07950106, 68.49960451, 60.57940577, 106.95586292,\n", - " 17.29871346, 18.62540106, 48.24865242, 71.99337104,\n", - " 58.15808708, 19.30779078, 30.53926772, 54.91763381,\n", - " 70.83363345, 67.70744158, 40.8921646 , -6.11642427,\n", - " 69.74510389, 60.37507374, 73.15197748, 60.49997617,\n", - " 68.14999857, 68.22050613, 63.44416946, 71.51274538,\n", - " 49.54889282, 38.89391272, 70.53548062, 64.51352604,\n", - " 73.21020409, 125.9907543 , 60.55310641, 68.33968031,\n", - " 35.34497506, 22.40235626, 72.49969516, 71.80059919,\n", - " 70.6388925 , 71.12529526, 59.54043419, 65.77315234,\n", - " 61.11141785, 60.93209442, 61.61890429, 110.7359504 ,\n", - " 54.95361907, 53.10427914, 53.07096743, 26.53381127,\n", - " 26.76920258, 66.05023647, 61.29950231, 73.69446241,\n", - " 69.12440293, 17.17445922, 17.4310164 , 41.70759128,\n", - " 73.0925181 , 71.43105373, 32.92507668, 69.177495 ,\n", - " 72.64904 , 70.21152672, 56.01922616, 50.05430329,\n", - " 65.88903029, 71.79211512, 72.18494883, 71.55735673,\n", - " 71.27633247, 45.33404851, 80.82289448, 72.9540529 ,\n", - " 57.89175491, 104.93614332, 47.51296392, 67.72967992,\n", - " 68.84565864, 54.06562015, 67.81467518, 71.13389641,\n", - " 54.89562752, 64.43464744, 114.24576425, 118.85842492,\n", - " 133.89719283, 112.97851725, 43.1200732 , 42.15553725,\n", - " 58.72487157, 70.76127184, 71.79179744, 70.53434738,\n", - " 110.41309231, 71.86516325, 71.30059908, 40.8061716 ,\n", - " 103.46568745, 60.90681425, 62.65324893, 66.87030507,\n", - " 64.30501139, 27.60504741, 116.25363296, 68.19435382,\n", - " 62.42570339, 49.38357361, 58.14355969, 60.78045299,\n", - " 61.94787162, 66.19545693, 125.68836264, 70.81242079,\n", - " 68.11859695, 65.17649048, 20.90194356, 67.31090302,\n", - " 69.98606374, 62.61899283, 56.00034038, 46.56275738,\n", - " 28.32407469, 63.22224245, 32.54819998, 64.8505163 ,\n", - " 69.39003347, 68.6124489 , 68.27889317, 63.72571421,\n", - " 64.47693557, 67.49986258, 68.09816312, 49.94543635,\n", - " 67.13642932, 61.17971836, 60.38849628, 55.57378415,\n", - " 115.45878137, 98.12799934, 55.31165128, 63.74770503,\n", - " 135.45852973, 60.17505018, 62.56780546, 69.79126987,\n", - " 59.89186528, 68.86335759, 61.21537985, 72.79578829,\n", - " 124.45728834, 64.44516608, 69.63382156, 62.34525212,\n", - " 64.16511198, 61.56464988, 64.54189678, 63.82161493,\n", - " 56.64997301, 71.93413198, 56.19235804, 67.40113878,\n", - " 53.55601368, 43.28744728, 67.27211331, 61.46236167,\n", - " 62.33142989, 69.72854195, 60.12650514, 67.51201211,\n", - " 71.06655087, 59.18779632, 38.92322167, 62.81643731,\n", - " 68.47917454, 66.16153864, 87.22414515, 107.30778361,\n", - " 71.30650483, 37.06595328, 65.19447939, 65.03382908,\n", - " 72.18113506, 125.25962638, 45.17754987, 138.94375451,\n", - " 88.64485851, 45.39948376, 43.65384805, 133.44247243,\n", - " 64.97094012, 63.0370036 , 80.36419581, 72.77070413,\n", - " 26.52700205, 26.12624125, 68.07824604, 68.66722371,\n", - " 63.80431925, 71.50034664, 96.93094453, 113.0960703 ,\n", - " 52.26297419, 134.10043106, 48.29561418, 71.28183342,\n", - " 71.29696869, 71.57180988, 62.28489371, 53.71077397,\n", - " 71.87930452, 62.79920656, 66.96360436, 69.22562374,\n", - " 73.76750734, 59.53580809, 58.70232022, 65.31849298,\n", - " 56.8739974 , 59.660983 , 45.27876445, 64.02434986,\n", - " 64.06584181, 63.62334196, 72.35165192, 54.08117411,\n", - " 30.43745447, 46.1063179 , 99.5950301 , 26.02240171,\n", - " 41.546097 , 61.15569859, 63.82613596, 46.81436543,\n", - " 60.35435116, 60.35408594, 53.7217582 , 61.3058477 ,\n", - " 59.47916133, 70.9081051 , 70.31088771, 42.4353499 ,\n", - " 36.98892333, 71.86866354, 71.41541443, 56.64357761,\n", - " 34.79289721, 70.82550182, 67.27347504, 57.2628606 ,\n", - " 115.6137419 , 61.12260337, 67.05208033, 56.68602534,\n", - " 73.57300389, 22.35114415, 37.0351884 , 77.46047667,\n", - " 45.15527382, 67.30880881, 64.96340875, 28.0931511 ,\n", - " 69.41989426, 52.94443386, 101.77219699, 65.69463677,\n", - " 60.16696937, 43.91514336, 115.44242086, 19.46780636,\n", - " 37.33543876, 69.57702838, 28.83674649, 55.42782076,\n", - " 31.72505659, 54.98767223, 32.89665363, 64.927959 ,\n", - " 100.0112454 , 78.40520302, 43.88343181, 51.29237375,\n", - " 62.61178418, 88.64820129, 58.4781092 , 30.6986024 ,\n", - " 71.75908626, 39.9303492 , 62.20530116, 96.75239334,\n", - " 71.5247098 , 70.49202589, 63.02480342, 49.62036633,\n", - " 71.30746563, 65.84323966, 67.35297289, 20.16726523,\n", - " 112.5280534 , 89.47828755, 60.32809545, 60.57709389,\n", - " 71.6492463 , 70.72577013, 90.91012847, 64.57177183,\n", - " 64.67343058, 71.18851126, 136.21121092, 63.08828952,\n", - " 44.43877847, 58.97772754, 71.88245559, 100.28325746,\n", - " 28.89866298, 46.15466976, 48.678618 , 54.68157962,\n", - " 64.58511531, 75.84759001, 67.3057277 , 63.58044943,\n", - " 54.38835321, 57.17378384, 72.38002143, 63.37276162,\n", - " 106.91414297, 61.01483186, 36.8416242 , 60.1592059 ,\n", - " 72.93415827, 18.29442908, 30.37513346, 61.91139389,\n", - " 60.69582707, 60.71360222, 42.28127692, 51.10908169,\n", - " 68.90224886, 58.1011254 , 62.22051464, 62.59365697,\n", - " 72.4439698 , 44.04432886, 62.79289933, 24.43562306,\n", - " 60.18055001, 55.52705926, 72.78086772, 69.28368021,\n", - " 30.65053229, 36.27080443, 58.4194002 , 25.34172017,\n", - " 68.79450506, 74.38463777, 69.50043979, 68.86374442,\n", - " 69.0794896 , 53.71158638, 29.92020437, 55.0056288 ,\n", - " 56.71774487, 106.7707946 , 51.25525971, 60.61235897,\n", - " 58.40218358, 45.42404146, 60.44025057, 58.15654296,\n", - " 54.38815889, 64.12568361, 55.64162612, 74.22572354,\n", - " 137.72874239, 23.60868238, 45.67258327, 110.52036657,\n", - " 105.3391164 , 58.41016072, 71.3065045 , 46.87656863,\n", - " 24.94667881, 73.6186838 , 43.60213722, 58.92555607,\n", - " 65.80217772, 33.61492389, 63.15209579, 60.1710127 ,\n", - " 67.8805215 , 72.7139906 , 120.54686814, 72.44655739,\n", - " 54.37470578, 42.45676295, 59.92248988, 68.89544042,\n", - " 62.81132823, 56.25257898, 111.93762996, 62.00185967,\n", - " 107.33366771, 63.19476007, 61.20588372, 61.89704098,\n", - " 64.63266674, 46.21264638, 60.9159114 , 60.94884039,\n", - " 72.32330081, 68.39608587, 65.89750753, 73.127816 ,\n", - " 47.4365836 , 134.27951325, 67.06913381, 51.29396153,\n", - " 43.86507381, 59.72631313, 65.27942395, 48.84692048,\n", - " 71.20888302, 129.60234096, 58.99731086, 66.87603304,\n", - " 46.51555361, 61.07877861, 62.56573756, 41.33542867,\n", - " 69.09017465, 8.04612454, 66.01967825, 71.91189773,\n", - " 60.69864246, 64.35241732, 61.35821019, 63.14986262,\n", - " -1.6634491 , 37.65020551, 27.80497493, 92.29033144,\n", - " 60.32660906, -0.43320857, -0.79715944, 75.47285885,\n", - " 36.79597039, 40.89661291, 60.96976126, 3.42168652,\n", - " -14.69256987, 117.48391329, 55.28766906, 39.99 ,\n", - " 117.09759775, 120.45238493, 1.72776122, 120.17754515,\n", - " 118.23229307, 39.90636078, 152.46216324, 73.42574075,\n", - " 73.00331861, -0.46640967, 165.50716629, -0.6111459 ,\n", - " 24.72724005, 158.02347009, 117.88477385, 107.62588772,\n", - " 55.28766908, 71.33878078, 117.09759738, 120.45238513,\n", - " 0. , 0. , 59.85423051, 71.6580405 ,\n", - " 45.33911148, 64.28530411, 30.27504367, 31.48655477,\n", - " 26.77547469, 32.32853467, 53.88644457, 42.34070704,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 59.92587673, 98.03757507, 73.51679778, 47.1406074 ,\n", - " 82.17770172, 82.31082135, 83.2575105 , 80.3823442 ,\n", - " 63.1634148 , 31.04358962, 81.18042886, 82.50476942,\n", - " 82.33818672, 75.02341252, 75.23436614, 76.73462402,\n", - " 60.57707805, 62.62694059, 62.36012505, 73.44020089,\n", - " 77.30234859, 76.30742655, 72.9593933 , 66.09799422,\n", - " 83.01514261, 81.64485392, 72.81994802, 67.55029742,\n", - " 41.16261553, 140.96998269, 92.95737618, 70.26510572,\n", - " 74.52470741, 39.93471347, 75.31820329, 46.077522 ,\n", - " 66.14629893, 56.58892295, 22.47822325, 36.9733665 ,\n", - " 70.5956861 , 72.94377306, 74.3718163 , 69.08177763,\n", - " 83.06474268, 62.77792052, 77.64539126, 74.33565928,\n", - " 83.11846671, 106.14061824, 80.72152003, 79.90773124,\n", - " 76.84061163, 82.90776733, 48.72645552, 81.1365766 ,\n", - " 80.94605991, 115.34806659, 89.5463608 , 61.8579616 ,\n", - " 65.11739946, 59.54342139, 58.6087746 , 58.54595782,\n", - " 58.03002436, 64.46830868, 54.72804718, 52.40046995,\n", - " 69.48514969, 350.3540259 , 56.98002541, 64.81652518,\n", - " 75.74481066, 76.27685973, 66.00425325, 67.69555833,\n", - " 19.42545309, 76.22722542, 72.77673404, 57.8478412 ,\n", - " 43.96958877, 106.8966606 , 94.91156391, 101.94256278,\n", - " 75.69431218, 75.59481446, 70.7524296 , 76.88408009,\n", - " 76.94579254, 27.55788438, 22.03941963, 66.40365593,\n", - " 55.63124716, 53.73099593, 105.14504986, 91.26659092,\n", - " 82.41384839, 82.42355431, 26.23103661, 61.3634547 ,\n", - " 114.17314917, 129.58911275, 77.98536417, 114.27290384,\n", - " 73.56922594, 73.11888775, 58.85830176, 79.26151298,\n", - " 78.8782936 , 75.47802475, 80.4596467 , 76.17289183,\n", - " 142.86425992, 65.53875972, 54.59777374, 145.36742496,\n", - " 83.48340178, 117.59118037, 110.65134072, 146.5757153 ,\n", - " 115.46906237, 59.44710015, 60.96793631, 68.24063272,\n", - " 71.48180813, 139.79211662, 85.86766448, 85.39260117,\n", - " 89.96568249, 89.0306975 , 77.88725462, 70.43428017,\n", - " 79.72923353, 79.42982903, 63.50457087, 65.67862748,\n", - " 74.10563878, 81.47454879, 81.48209182, 81.48523281,\n", - " 87.96966579, 85.85838276, 59.48767591, 67.53166363,\n", - " 76.58678244, 80.93982846, 80.78914629, 58.31171931,\n", - " 61.61034407, 110.74120787, 68.02907962, 56.03310924,\n", - " 140.38688883, 111.0753916 , 110.74862525, 75.95164164,\n", - " 70.99870295, 71.74369651, 79.2272993 , 29.11144702,\n", - " 30.02741982, 81.95699331, 64.93995674, 60.6048882 ,\n", - " 68.40115717, 68.40069508, 127.21614619, 109.6153404 ,\n", - " 70.90628398, 80.679373 , 68.67235804, 74.26366009,\n", - " 71.58226239, 59.24979299, 47.76730799, 82.06576554,\n", - " 82.7982671 , 60.13102671, 60.03846566, 80.03268486,\n", - " 83.02922767, 67.73812849, 76.03692611, 74.79970285,\n", - " 72.73230853, 37.31384697, 67.25881876, 61.93558678,\n", - " 63.59306923, 51.21455718, 46.30638472, 74.80875633,\n", - " 38.73350796, 80.21746909, 83.49815764, 82.17541795,\n", - " 71.31832799, 75.44715693, 102.38884407, 76.39842762,\n", - " 82.58342221, 109.12956901, 72.13250092, 75.69754349,\n", - " 134.4158819 , 73.52853207, 73.42411006, 67.71533494,\n", - " 78.17080928, 81.23700969, 81.78028189, 90.97044993,\n", - " 87.04167381, 115.35780139, 76.96877953, 59.84816643,\n", - " 83.02190378, 83.02225918, 87.45235131, 86.79155163,\n", - " 73.52514965, 44.55289162, 60.54454506, 114.92750709,\n", - " 70.64043473, 81.5186748 , 60.17709963, 59.58157095,\n", - " 70.65782243, 68.68825677, 64.9834788 , 70.06733817,\n", - " 113.65273406, 111.97676564, 81.77803595, 72.45988879,\n", - " 62.00139103, 72.14449822, 77.74600194, 110.64395719,\n", - " 82.39181552, 80.90476041, 69.3061758 , 80.93974309,\n", - " 78.08358986, 113.98605732, 45.90479488, 36.86658778,\n", - " 44.10958102, 71.51160762, 70.48752357, 139.06384875,\n", - " 103.85976403, 74.48413013, 79.78725315, 82.90395847,\n", - " 73.33035312, 81.44565284, 73.69338239, 45.61799013,\n", - " 47.13137066, 88.66466639, 80.37898476, 62.94872652,\n", - " 74.81359713, 38.58329976, 44.64718057, 55.25988465,\n", - " 81.5653145 , 124.7652508 , 60.69640349, 66.40834065,\n", - " 75.38804725, 69.42108612, 69.20857436, 71.42583144,\n", - " 73.3006115 , 67.89111735, 85.94098437, 83.07601139,\n", - " 54.89518112, 76.6382285 , 76.34414513, 77.02073126,\n", - " 81.55641697, 60.45555935, 73.48303641, 60.04209292,\n", - " 47.99340429, 46.21375453, 137.30240658, 105.20863684,\n", - " 40.37809837, 42.32136285, 113.59166882, 101.70406767,\n", - " 57.20061849, 122.81312526, 42.48789907, 52.50954159,\n", - " 74.61760625, 79.29373611, 68.44870969, 79.62154276,\n", - " 82.10101886, 65.11170714, 68.02425067, 79.46590706,\n", - " 113.31175017, 78.96729192, 73.37543831, 80.45909184,\n", - " 52.56209274, 52.14127109, 140.88657938, 141.14780769,\n", - " 78.72683344, 45.11817739, 69.953509 , 66.65410694,\n", - " 68.39805154, 73.7127254 , 48.99040303, 48.23452364,\n", - " 70.495884 , 61.12568094, 72.46598987, 98.06794969,\n", - " 77.22781673, 78.4108811 , 78.4189855 , 133.72385563,\n", - " 72.48157056, 72.98235914, 63.86222598, 62.16988616,\n", - " 140.41050859, 137.15050642, 82.1494599 , 75.58747468,\n", - " 111.36183613, 96.38159889, 140.07548954, 113.91654813,\n", - " 75.57199934, 75.25178581, 78.91367003, 80.29846556,\n", - " 63.4019146 , 39.4352242 , 78.92215519, 79.83741132,\n", - " 64.49984678, 72.69169427, 74.05494108, 76.69777331,\n", - " 143.07586051, 137.7178041 , 81.16593691, 70.80341174,\n", - " 75.74834621, 74.02900081, 80.18082596, 79.09572782,\n", - " 81.9668286 , 119.16112151, 129.58034018, 81.6102505 ,\n", - " 81.78457995, 81.12747525, 80.37921412, 78.50258847,\n", - " 73.19605328, 80.89973888, 70.44510685, 66.9540283 ,\n", - " 77.00043491, 68.4743064 , 78.32140196, 134.49575112,\n", - " 69.81555172, 90.61032664, 76.89329535, 81.55007261,\n", - " 68.74434218, 52.09911026, 14.92812142, 74.37693494,\n", - " 79.57929279, 116.07668505, 80.03465657, 80.59442449,\n", - " 77.62541584, 35.8931955 , 63.82073309, 81.01181522,\n", - " 71.87126033, 74.75982589, 113.99134604, 80.60789164,\n", - " 81.32925546, 79.79572009, 40.09472515, 81.78731379,\n", - " 64.76786262, 97.0733139 , 79.89507445, 82.89731514,\n", - " 78.5411393 , 72.86365651, 72.83033914, 76.48273025,\n", - " 42.4176558 , 108.39142414, 64.79835111, 53.74783955,\n", - " 82.76868019, 81.52311582, 41.76851911, 47.10397717,\n", - " 69.74303311, 79.14388292, 71.67858109, 73.65949703,\n", - " 73.67304996, 78.13646136, 70.98802645, 77.75342404,\n", - " 76.92997072, 111.77188354, 75.29259059, 47.43620909,\n", - " 80.18356582, 63.48634488, 47.78948397, 81.16457438,\n", - " 67.87875596, 56.1459836 , 67.95598392, 46.70762856,\n", - " 121.77966527, 123.73829384, 90.64148851, 73.35439322,\n", - " 72.49167121, 80.44692382, 64.42229261, 80.74537865,\n", - " 75.18535501, 74.60546614, 70.21144589, 107.19533071,\n", - " 29.27962996, 30.61045696, 59.46060063, 81.6279647 ,\n", - " 62.83940904, 31.78246202, 36.49741932, 69.72793647,\n", - " 81.32852323, 77.00615877, 54.6342343 , 7.62564671,\n", - " 79.35765511, 70.00700763, 82.76594169, 70.16491587,\n", - " 76.91182901, 77.83319848, 73.05626723, 81.26479453,\n", - " 66.95736292, 56.26942533, 80.16953162, 74.14735976,\n", - " 82.81812776, 130.88142071, 73.57037282, 81.35694701,\n", - " 49.09508602, 36.15684579, 82.12237865, 81.03205313,\n", - " 80.23671929, 80.72310587, 77.26189982, 99.62926999,\n", - " 70.74550268, 78.51474817, 79.20267128, 111.4585857 ,\n", - " 68.72288977, 66.87833296, 64.9982221 , 43.9036582 ,\n", - " 44.155976 , 75.65460574, 71.05481243, 83.28830492,\n", - " 75.38578667, 26.92353313, 27.18009009, 51.45664137,\n", - " 82.6891232 , 81.04001459, 45.99778998, 78.55525622,\n", - " 82.25941073, 79.58928478, 65.3965912 , 59.80337719,\n", - " 75.60718822, 81.54203338, 81.93523744, 81.22194878,\n", - " 80.98872505, 60.14631008, 100.94935661, 82.56440886,\n", - " 67.65208671, 107.36433435, 55.81250772, 77.36583346,\n", - " 78.51389933, 67.48138691, 77.55242578, 80.77100387,\n", - " 68.66210541, 74.06715358, 131.31070881, 120.1191933 ,\n", - " 144.05297139, 123.16387906, 56.85112955, 55.88955354,\n", - " 69.14411546, 80.37845669, 81.40919437, 80.15180509,\n", - " 124.90005639, 81.48227012, 81.78181303, 49.1057165 ,\n", - " 122.55780507, 70.67341698, 72.28533017, 72.45535392,\n", - " 77.15227091, 44.97502086, 119.99855149, 80.62608677,\n", - " 86.04336769, 67.18379977, 69.30016183, 70.37634145,\n", - " 71.54379297, 90.00866447, 132.84903478, 80.44647951,\n", - " 77.833859 , 77.61085894, 30.66825996, 78.47521779,\n", - " 79.60144132, 72.24536012, 67.82792144, 64.00544343,\n", - " 45.80270482, 72.81896881, 47.36451041, 83.86567503,\n", - " 74.36741311, 74.78002502, 78.75601167, 72.97763026,\n", - " 73.73048585, 77.58415085, 78.18245146, 69.69739478,\n", - " 77.29777643, 71.34109934, 73.68042825, 60.55131443,\n", - " 117.71151736, 100.43239368, 67.52585017, 74.41325112,\n", - " 136.60938858, 69.81353683, 72.18120688, 82.70012273,\n", - " 73.00120136, 78.40136991, 74.64925636, 82.33298386,\n", - " 126.67510119, 74.0814137 , 78.61380769, 72.10057583,\n", - " 73.92043578, 71.29222174, 74.17881278, 73.45853593,\n", - " 68.86420998, 81.5708951 , 68.40659972, 76.67490616,\n", - " 67.32525196, 57.02951678, 77.02015068, 71.21768425,\n", - " 72.08675357, 92.94415995, 65.1433527 , 73.06045762,\n", - " 80.70112891, 64.11981789, 43.85524342, 67.79579387,\n", - " 78.15749159, 75.83985628, 106.32534995, 115.93371637,\n", - " 81.78537226, 46.3074401 , 74.82698557, 79.10974926,\n", - " 81.55889321, 133.66078307, 55.84309624, 146.71247807,\n", - " 103.13276221, 55.01111751, 53.2654818 , 143.64664214,\n", - " 74.60344631, 73.45572267, 99.82642643, 92.23317051,\n", - " 43.90929155, 43.51240948, 78.73573119, 79.08104323,\n", - " 73.41929953, 81.24791633, 97.79937406, 127.32703402,\n", - " 66.9258709 , 143.89295352, 60.97945416, 81.77048834,\n", - " 81.77962422, 80.55178872, 71.89860189, 68.39740357,\n", - " 81.50138724, 72.55442057, 76.5247019 , 79.15055883,\n", - " 83.28306711, 64.51871053, 69.12119447, 75.73260328,\n", - " 66.63433423, 69.42131983, 51.13874112, 73.68699075,\n", - " 73.69854543, 73.21794169, 81.97391626, 67.93342236,\n", - " 48.36470091, 55.87769876, 108.68318251, 43.44589877,\n", - " 65.16477955, 83.83117178, 73.58125392, 69.49065298,\n", - " 73.66978811, 73.66970547, 68.40082642, 71.00631968,\n", - " 69.20810238, 81.40232955, 80.80511216, 52.03133285,\n", - " 46.58494911, 81.61725577, 81.04872031, 61.1488536 ,\n", - " 52.51358716, 80.3664898 , 76.50837121, 62.18849662,\n", - " 119.44575298, 67.2918437 , 76.02273571, 67.11033148,\n", - " 82.55298332, 35.60431708, 49.24747325, 96.91880159,\n", - " 56.31189778, 76.9330024 , 74.58896669, 41.40866277,\n", - " 78.40060113, 63.36874183, 112.06452951, 75.65687412,\n", - " 69.79854649, 57.76750368, 125.64661327, 28.84517713,\n", - " 47.08450642, 80.69133583, 46.6249049 , 74.90279014,\n", - " 44.57753446, 65.65304396, 43.56205384, 71.03372904,\n", - " 120.51227918, 79.30268475, 53.49522978, 70.76760365,\n", - " 72.26892778, 97.28844753, 63.1393364 , 53.82870165,\n", - " 81.50658045, 49.5421472 , 67.22284396, 99.18363566,\n", - " 80.5046889 , 79.472005 , 72.61912688, 60.0449771 ,\n", - " 81.78594999, 75.59856339, 76.64879323, 29.91642671,\n", - " 114.77283692, 98.52292006, 70.08396651, 70.33360445,\n", - " 72.57031243, 80.35473946, 97.3417898 , 74.2086736 ,\n", - " 73.45056259, 80.17034041, 145.6741057 , 72.68789924,\n", - " 54.18785239, 69.48266517, 81.51219966, 102.56627869,\n", - " 38.54244006, 57.2340144 , 56.97819822, 64.41402947,\n", - " 74.33914494, 84.81305253, 76.21669415, 73.17779923,\n", - " 71.73517617, 63.0057951 , 91.82460455, 72.98485939,\n", - " 110.28795907, 70.77135965, 41.98180815, 69.85967789,\n", - " 82.68626734, 28.02688106, 48.28729566, 71.66748335,\n", - " 70.35342855, 70.47012965, 52.03035929, 64.87832013,\n", - " 70.81786188, 67.86145725, 71.81895746, 68.76238617,\n", - " 81.35493805, 53.8069835 , 72.54898884, 34.0794345 ,\n", - " 79.65555505, 61.6963555 , 79.27336986, 77.98024872,\n", - " 36.54536437, 46.1473113 , 68.93016804, 37.16930266,\n", - " 78.41240492, 83.48351049, 79.10214438, 78.49747718,\n", - " 75.18535144, 68.39765673, 47.68674785, 68.77489004,\n", - " 67.22851242, 118.80773615, 65.1741558 , 71.67454215,\n", - " 68.82090437, 58.82320576, 70.85979709, 68.57608945,\n", - " 66.60235785, 74.37000801, 65.88595063, 110.9479468 ,\n", - " 146.06275786, 33.25502066, 59.59890365, 127.58749837,\n", - " 115.16497747, 70.62440242, 81.78537216, 60.64583369,\n", - " 34.55831602, 110.341196 , 56.89015452, 65.35991081,\n", - " 75.43330099, 43.83810806, 73.42542402, 69.80122864,\n", - " 77.61551366, 82.20814807, 130.01434572, 81.80445928,\n", - " 66.58885941, 55.87576046, 69.65075191, 78.99802602,\n", - " 68.98111823, 62.46864357, 119.697124 , 71.63070136,\n", - " 117.71979334, 69.32341333, 70.81028716, 71.50122774,\n", - " 75.04636816, 59.99057523, 71.39303096, 71.42596119,\n", - " 81.62227266, 79.4431721 , 75.53001357, 82.87996833,\n", - " 57.08547135, 135.48815333, 77.48311894, 61.14562202,\n", - " 53.71939072, 70.20940649, 84.75504422, 51.28114432,\n", - " 80.84350189, 130.81098249, 69.41618511, 75.54249889,\n", - " 56.27284108, 70.83402954, 72.32226878, 55.08089999,\n", - " 78.72410306, 21.46100048, 75.7259014 , 81.54165105,\n", - " 60.72738175, 69.04841215, 71.1238098 , 72.90502234,\n", - " -1.6634491 , 50.41056426, 37.76509164, 124.67035474,\n", - " 73.60402681, -0.43211903, -0.79606701, 84.13305492,\n", - " 49.14157787, 62.73891001, 75.02433226, 18.23225303,\n", - " -1.45275947, 125.24340733, 75.2070005 , 39.99 ,\n", - " 133.81295226, 137.11792285, 1.72776122, 136.7785266 ,\n", - " 134.80855178, 63.29490219, 155.83225026, 82.95963018,\n", - " 82.5133421 , -0.46311082, 165.7169281 , 17.61576688,\n", - " 38.08679234, 166.02499944, 117.94176928, 122.17149462,\n", - " 75.2070005 , 71.8532049 , 133.81295192, 137.11792304,\n", - " 0. , 0. , 59.98569925, 71.46893492,\n", - " 45.48956523, 64.28530411, 30.50406222, 31.48655477,\n", - " 26.77547469, 32.34682833, 53.88644457, 42.34070704,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 65.39324635, 111.66409671, 78.0090752 , 51.63807146,\n", - " 85.65309465, 85.78423838, 86.73041008, 83.86625131,\n", - " 66.67935468, 34.56072995, 84.70221404, 86.02634322,\n", - " 89.87339404, 78.50577499, 78.70569929, 80.20595719,\n", - " 65.48328375, 66.88893587, 65.83379011, 76.91385023,\n", - " 80.78667819, 79.79153608, 76.43016418, 70.67576153,\n", - " 86.53737449, 85.16505061, 76.29052807, 69.11161089,\n", - " 42.73849378, 141.11590444, 99.68465008, 72.088634 ,\n", - " 76.35206456, 43.45545465, 79.08553791, 49.59826256,\n", - " 69.68498299, 60.12768903, 25.99896626, 40.49410852,\n", - " 74.43450942, 76.7826225 , 78.146569 , 73.09475572,\n", - " 86.51882317, 63.1612515 , 81.37508419, 74.73569991,\n", - " 86.58013623, 119.77580748, 84.20438209, 83.39062542,\n", - " 80.30107732, 86.36290693, 52.56599969, 84.97406013,\n", - " 84.78364878, 119.24460608, 89.48448 , 65.75540819,\n", - " 67.05798821, 62.17996084, 63.52983998, 63.46913399,\n", - " 61.55076019, 67.98947169, 59.33339799, 57.0173424 ,\n", - " 73.00585182, 354.10595238, 60.50075232, 68.33727078,\n", - " 78.84816992, 79.38021899, 67.74835909, 71.42570898,\n", - " 23.15565123, 79.54542744, 76.12763544, 62.76945415,\n", - " 45.18101439, 111.13373022, 99.14866444, 102.34272439,\n", - " 77.68042427, 77.6632158 , 74.27312748, 80.15634811,\n", - " 80.22247866, 31.07862834, 25.56016309, 70.9817585 ,\n", - " 59.15197513, 57.25173134, 109.36866139, 95.49021903,\n", - " 85.86898813, 85.87869405, 30.73693879, 65.86928172,\n", - " 119.89420831, 131.93109726, 84.81178652, 116.61519431,\n", - " 77.09191767, 76.64174235, 63.78027941, 82.52369186,\n", - " 81.91925228, 78.5231304 , 83.69040361, 79.40375074,\n", - " 144.91911506, 72.97292578, 62.02986022, 147.57552404,\n", - " 86.71415153, 118.473407 , 111.53362061, 148.47109864,\n", - " 117.67729734, 66.56507768, 68.12350652, 75.68476214,\n", - " 78.91880776, 139.91783572, 89.13782814, 88.66299902,\n", - " 98.12336833, 97.63824863, 81.72435201, 74.27303953,\n", - " 82.98461693, 82.68659891, 68.43765339, 70.60532996,\n", - " 79.48755514, 85.30840471, 84.95970499, 84.96360125,\n", - " 88.29628122, 86.189073 , 64.21325793, 72.42282271,\n", - " 79.86468965, 84.4510811 , 84.29860405, 63.69363791,\n", - " 66.19317973, 111.09861286, 72.60969112, 59.79054271,\n", - " 142.52121465, 125.35236904, 113.8688755 , 79.18323848,\n", - " 74.17855631, 74.91557076, 82.74756109, 32.70756059,\n", - " 33.64449486, 85.43617429, 69.66399352, 65.33840097,\n", - " 73.29642469, 73.29619293, 127.58035068, 109.98078514,\n", - " 74.0883558 , 84.19963542, 72.45018433, 78.04148695,\n", - " 74.77168609, 62.77053708, 51.28806953, 85.53105889,\n", - " 86.25897121, 63.6517553 , 63.55919827, 83.77497309,\n", - " 86.549499 , 71.52190053, 79.81851781, 76.72102689,\n", - " 74.64187407, 40.89466491, 71.62199887, 66.29939897,\n", - " 67.51655145, 55.13803823, 49.78591112, 78.29155827,\n", - " 42.20930085, 83.32167227, 86.60332813, 85.65939399,\n", - " 74.82400018, 78.95282917, 115.98485562, 79.85939217,\n", - " 86.04238731, 123.40453895, 75.62577291, 79.46748779,\n", - " 135.29384853, 77.0508812 , 76.94656697, 71.72722453,\n", - " 82.18060693, 84.69458595, 85.23792908, 100.05465715,\n", - " 95.84124564, 121.73143304, 82.39284656, 65.52211341,\n", - " 86.54380852, 86.54408983, 96.72925721, 96.0510122 ,\n", - " 78.34570009, 49.37579635, 64.06528505, 116.98410934,\n", - " 75.00371646, 86.87470516, 63.69784308, 63.10231496,\n", - " 74.17850508, 72.47203477, 69.56763539, 74.56588008,\n", - " 115.97791249, 114.29898878, 85.54991091, 75.94067953,\n", - " 66.83117211, 75.62651869, 81.2672716 , 113.74277342,\n", - " 85.85784917, 84.38839514, 72.79001 , 84.42324619,\n", - " 81.56734947, 116.31634013, 50.40227934, 41.69685574,\n", - " 48.60706978, 74.99468947, 73.97036032, 139.20977244,\n", - " 109.23603841, 78.92047276, 83.26554532, 86.3824608 ,\n", - " 76.81421384, 84.96575772, 77.17719467, 47.19870107,\n", - " 48.71210638, 95.39483778, 87.10945306, 66.47320224,\n", - " 78.33308732, 43.08291331, 49.2163933 , 59.83109774,\n", - " 85.05496241, 124.91085115, 64.1721523 , 69.88408784,\n", - " 77.3093691 , 74.3465343 , 74.13403323, 75.10959678,\n", - " 76.8230886 , 71.67761091, 94.1005016 , 91.2431279 ,\n", - " 58.81866196, 80.38811571, 80.09399103, 80.30665239,\n", - " 84.84739808, 63.93930083, 77.00571154, 63.52599136,\n", - " 51.51414315, 49.73449339, 137.5369461 , 105.50941552,\n", - " 43.85384794, 45.7971121 , 120.29428584, 108.42723241,\n", - " 60.88443564, 128.26000781, 46.17256749, 58.05537346,\n", - " 78.16233879, 82.83846885, 72.64791214, 83.10517733,\n", - " 85.58465168, 69.83548959, 72.75229415, 82.94213129,\n", - " 119.02609156, 82.44343593, 76.84901902, 83.91712875,\n", - " 56.03786971, 55.61704841, 142.12418857, 142.38815409,\n", - " 82.20293576, 48.80199484, 71.4974144 , 70.12985487,\n", - " 73.29486709, 77.23557999, 53.92597318, 53.08155572,\n", - " 74.33469225, 66.0395126 , 75.98885528, 98.42788519,\n", - " 80.70545016, 81.88911942, 81.89668791, 136.04058137,\n", - " 75.95726935, 76.45496537, 67.3829712 , 65.69063139,\n", - " 142.54671101, 139.28680834, 85.62861248, 79.11036587,\n", - " 114.36199789, 99.38295668, 142.40287523, 116.24571175,\n", - " 79.05439659, 78.73416338, 82.39462298, 88.90760517,\n", - " 67.13212375, 43.16543375, 82.56464569, 83.32120915,\n", - " 73.29967836, 76.1740258 , 77.53764694, 80.15839244,\n", - " 145.3547656 , 139.94973234, 84.64893755, 74.27912611,\n", - " 79.2307553 , 77.51133939, 83.6635889 , 82.57182647,\n", - " 85.43602245, 125.77823722, 136.20162424, 85.38863118,\n", - " 85.55783868, 84.61061264, 83.86223878, 81.97869951,\n", - " 76.67838513, 84.42039317, 74.3685867 , 70.68421238,\n", - " 80.52095733, 71.9950353 , 83.19085202, 139.36557138,\n", - " 71.7363845 , 98.76821663, 81.37949058, 85.03298983,\n", - " 76.12987614, 59.51447757, 18.65833168, 81.73129081,\n", - " 85.42018764, 120.9150814 , 83.23276233, 83.78784531,\n", - " 83.03838667, 40.39625759, 69.23806912, 84.53207043,\n", - " 75.3915179 , 78.03954582, 117.27511737, 84.15262441,\n", - " 84.85108902, 83.31755366, 43.61177367, 85.55997115,\n", - " 66.34351675, 98.53655641, 83.37883764, 86.36948398,\n", - " 82.65408168, 76.34394004, 76.31062149, 85.57222282,\n", - " 45.93841754, 122.66715915, 68.48215143, 55.32761437,\n", - " 86.0870615 , 84.84134604, 44.87705886, 50.07112087,\n", - " 73.26737092, 82.61693773, 73.54236987, 77.13979607,\n", - " 77.15333729, 81.65784259, 74.45903252, 81.2326242 ,\n", - " 80.40991876, 117.48678902, 79.02236077, 51.16597984,\n", - " 83.66620978, 70.9205123 , 54.85784438, 84.64108698,\n", - " 72.24169107, 59.61698186, 72.66520471, 51.17296826,\n", - " 122.65096796, 124.60800694, 90.97280823, 76.86788807,\n", - " 76.00475909, 84.21956092, 65.08426667, 84.51801686,\n", - " 77.0105889 , 76.43070176, 73.6936157 , 107.42987288,\n", - " 33.54821397, 34.87997499, 63.73231522, 85.11096534,\n", - " 63.50142397, 36.28117887, 38.10037433, 74.65298062,\n", - " 85.10695923, 80.29985544, 59.31824216, 12.30965486,\n", - " 82.83227543, 73.4883786 , 86.2424422 , 73.65748587,\n", - " 80.03719019, 81.30929831, 76.53218145, 84.78662514,\n", - " 74.38922844, 63.69385432, 83.65234552, 77.63009919,\n", - " 86.29279156, 133.79022653, 78.26155056, 86.04812481,\n", - " 54.93893578, 42.00168353, 85.60153123, 84.30445466,\n", - " 83.70704559, 84.19342851, 84.77027933, 113.25827009,\n", - " 74.22831858, 85.98980137, 86.67797567, 111.81588668,\n", - " 73.41303525, 71.56955771, 69.25469784, 51.32680878,\n", - " 51.58294587, 79.12604075, 74.57770242, 86.75773221,\n", - " 77.30658195, 30.44427714, 30.70083407, 54.97738014,\n", - " 86.16034707, 84.51498081, 50.50457901, 81.87381769,\n", - " 85.73480879, 82.90784552, 68.71506326, 63.32412123,\n", - " 79.11773342, 85.06316154, 85.45649001, 84.71465711,\n", - " 84.49734369, 65.07179624, 105.78909313, 86.0397954 ,\n", - " 71.17681331, 108.96288205, 58.4490608 , 80.84907304,\n", - " 82.00781269, 72.09048543, 81.06946922, 84.25477353,\n", - " 73.35162073, 77.54947508, 137.390614 , 121.00143618,\n", - " 146.34452338, 125.46210622, 61.53265237, 60.57174424,\n", - " 72.89593624, 83.85593621, 84.88673909, 83.62936814,\n", - " 130.33370626, 84.95972657, 85.55567916, 51.74226983,\n", - " 129.2018962 , 74.19885812, 75.76751404, 73.91631619,\n", - " 82.47568811, 52.38635084, 120.84355569, 85.11150517,\n", - " 95.50146046, 74.41404548, 73.312057 , 73.84730521,\n", - " 75.01476677, 99.55292466, 136.62955723, 83.92929637,\n", - " 81.3434358 , 82.09687202, 34.19514434, 82.48578214,\n", - " 83.07705325, 75.72486392, 72.04806856, 71.44502944,\n", - " 53.25040126, 76.29019458, 52.29091016, 90.49240115,\n", - " 75.37151711, 76.64391904, 82.52864989, 76.25619697,\n", - " 77.0094213 , 81.12888365, 81.72718428, 76.49037253,\n", - " 80.86718867, 74.91051922, 78.4929277 , 61.55545243,\n", - " 119.00239352, 101.73492605, 71.8896623 , 78.14347509,\n", - " 137.46683144, 73.29709386, 75.65610703, 88.06579439,\n", - " 78.41211009, 81.85674249, 79.51476026, 85.78817215,\n", - " 127.95809729, 77.56490337, 81.80717636, 75.62346889,\n", - " 77.44332887, 74.80593562, 77.66249322, 76.94221749,\n", - " 73.2280307 , 85.05457714, 72.7704215 , 79.96070213,\n", - " 72.01539013, 61.7135246 , 80.54058698, 74.74057706,\n", - " 75.60964663, 102.24876482, 66.177992 , 74.49409676,\n", - " 84.18412338, 65.08808447, 44.82351003, 68.80273306,\n", - " 81.65475721, 79.33712203, 112.97149152, 118.93072381,\n", - " 85.55845746, 49.27458464, 78.30930674, 84.19328638,\n", - " 84.87745398, 135.55642182, 59.57332027, 148.46541447,\n", - " 108.5666241 , 58.48686632, 56.74123061, 145.94911312,\n", - " 78.08576752, 77.29372695, 106.55402994, 98.96082722,\n", - " 51.33524967, 50.93924279, 82.46413629, 82.83093078,\n", - " 76.8947586 , 84.76822027, 98.15322697, 132.70291865,\n", - " 71.81765434, 146.10254032, 65.52872013, 85.54683331,\n", - " 85.55397024, 83.74520977, 75.37354383, 73.2945421 ,\n", - " 84.98036847, 76.07728888, 79.98535401, 82.73184463,\n", - " 86.73369096, 65.52709693, 72.87288616, 79.48259458,\n", - " 70.15906309, 72.94604869, 52.71954392, 77.17869962,\n", - " 77.18017518, 76.6885198 , 85.45295578, 72.64229092,\n", - " 55.81279651, 59.40421803, 111.78448529, 50.88115498,\n", - " 74.62310208, 92.9496871 , 77.10415066, 78.60935205,\n", - " 78.48759123, 78.48754978, 73.2962588 , 74.51078115,\n", - " 72.72228019, 85.18054115, 84.58332376, 55.5023292 ,\n", - " 50.05595513, 85.13790091, 84.53104632, 61.77114548,\n", - " 59.63157451, 83.8222658 , 79.78188984, 63.15151082,\n", - " 120.31040876, 69.15720674, 79.21324441, 70.94959644,\n", - " 85.7464044 , 40.16924341, 54.15369043, 103.64552382,\n", - " 60.32379788, 80.41268094, 78.06908071, 46.22648275,\n", - " 81.59413243, 67.20800719, 114.38689356, 79.16254636,\n", - " 73.27979772, 62.47639753, 127.94908936, 32.16365049,\n", - " 50.60524916, 84.68453998, 54.14244337, 81.63326803,\n", - " 49.90212912, 69.38322859, 47.29224489, 72.858944 ,\n", - " 125.43653412, 79.66309302, 56.97101565, 77.49814032,\n", - " 75.7587426 , 100.28868467, 63.79681715, 63.10794163,\n", - " 85.02686313, 53.01793308, 68.23839951, 100.78287186,\n", - " 83.69811 , 82.66542611, 76.0896324 , 63.88431079,\n", - " 85.55890792, 79.12145645, 79.94156449, 33.4371905 ,\n", - " 116.06191869, 102.72854304, 73.60698307, 73.85676532,\n", - " 72.93604228, 83.83592872, 100.59830603, 77.69235082,\n", - " 77.59582609, 83.36417896, 147.80931525, 76.15999794,\n", - " 57.70859642, 73.26440397, 84.99364092, 103.86398842,\n", - " 41.65101664, 61.43726802, 59.61475952, 67.92939505,\n", - " 77.86162204, 89.00081139, 79.3885692 , 76.64921288,\n", - " 79.15485074, 64.58028778, 98.54822607, 76.46077361,\n", - " 112.04818837, 74.2945244 , 43.02503646, 73.36413936,\n", - " 86.2081184 , 31.54224712, 55.73198765, 75.19067622,\n", - " 73.84339598, 73.99329432, 55.55110534, 69.56845833,\n", - " 72.30075138, 71.38618386, 75.2907024 , 70.62758501,\n", - " 84.52681351, 57.33254632, 76.07218172, 37.18801884,\n", - " 86.38604098, 63.56173117, 82.54361422, 81.08360797,\n", - " 38.13403195, 49.71214355, 72.7139461 , 41.3894501 ,\n", - " 81.89010596, 86.71423559, 82.57334567, 81.98018411,\n", - " 77.01058711, 73.29466907, 54.84543992, 73.4650334 ,\n", - " 71.01229041, 122.57440433, 69.89806278, 75.64970416,\n", - " 72.57254392, 63.42855809, 74.61172358, 72.32801594,\n", - " 70.96617 , 78.06136765, 69.5773103 , 125.22365557,\n", - " 147.94324685, 36.36417516, 64.32448585, 133.6678971 ,\n", - " 117.3820868 , 74.98822421, 85.55845741, 65.33597789,\n", - " 38.03406562, 124.61696996, 61.46841323, 68.61703478,\n", - " 78.91518261, 47.5222351 , 77.12679955, 73.28281888,\n", - " 81.13163807, 85.55297321, 132.15058933, 85.11666193,\n", - " 70.95266133, 60.48558797, 73.16470022, 82.64051652,\n", - " 70.8466053 , 64.34457205, 123.61276545, 75.11185799,\n", - " 120.06332088, 71.16145663, 74.28359737, 74.97406655,\n", - " 78.79621412, 64.68267434, 75.16566941, 75.19859993,\n", - " 84.91379667, 83.41311347, 79.01233447, 86.40183416,\n", - " 60.5718531 , 136.35863397, 81.23302891, 64.68951372,\n", - " 57.26388182, 73.9841592 , 91.48566898, 52.88105327,\n", - " 84.32651256, 131.68146345, 73.1678768 , 78.58760499,\n", - " 59.79617725, 74.35690618, 75.84543431, 59.76567539,\n", - " 82.20688521, 26.06241351, 79.23240571, 85.02309535,\n", - " 61.11131128, 69.71373788, 74.64902458, 76.42788148,\n", - " -1.6634491 , 54.99148577, 40.98537497, 137.85323754,\n", - " 78.41099113, -0.43180597, -0.79575283, 87.22750543,\n", - " 53.54657167, 71.55564187, 80.40062289, 24.26987169,\n", - " 3.1070156 , 129.15904878, 80. , 39.99 ,\n", - " 139.76943202, 143.47021904, 1.72776122, 143.10411601,\n", - " 140.71592279, 72.65322533, 157.59163812, 86.41535126,\n", - " 85.96237376, -0.46215165, 165.91664824, 24.88371507,\n", - " 43.10208173, 170.07263474, 118.33659153, 127.61837717,\n", - " 82.03774286, 72.34647625, 139.76943169, 143.47021923,\n", - " 0. , 0. , 60.32452828, 71.39126124,\n", - " 45.77448764, 64.28530411, 31.4318985 , 32.07094608,\n", - " 26.77547469, 32.72375487, 53.88644457, 42.34070704,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 68.65683381, 119.59160653, 80.45391027, 54.08500447,\n", - " 87.86507555, 87.99517648, 88.94120462, 86.08158245,\n", - " 68.90699704, 36.78883158, 86.932179 , 88.25622727,\n", - " 94.32698963, 80.72049431, 80.91586832, 82.41612623,\n", - " 68.62965894, 69.62776973, 68.04496674, 79.12502049,\n", - " 83.00217393, 82.0069467 , 78.64009185, 73.44586511,\n", - " 88.76751345, 87.39442879, 78.50037381, 70.50523029,\n", - " 44.13800451, 141.29745737, 100.59966194, 73.63836836,\n", - " 77.90404926, 45.68504436, 81.40794661, 51.82785201,\n", - " 71.92183044, 62.36456965, 28.2285567 , 42.72369856,\n", - " 76.89617799, 79.24430163, 80.47180647, 75.51172129,\n", - " 88.72149487, 63.67015546, 83.72187788, 75.18304038,\n", - " 88.78681525, 127.70682327, 86.41929878, 85.60555238,\n", - " 82.50653156, 88.56603954, 55.02795985, 87.43518677,\n", - " 87.24481802, 122.04322301, 89.46762225, 68.55439202,\n", - " 68.6880833 , 64.65133497, 66.44193334, 66.38208114,\n", - " 63.78034771, 70.219232 , 62.11591621, 59.80452102,\n", - " 75.23542659, 356.42208485, 62.73033622, 70.56686227,\n", - " 80.88214084, 81.41418992, 69.25181482, 73.77268782,\n", - " 25.50264928, 81.68578695, 78.2844076 , 65.68176899,\n", - " 46.52623732, 114.07008528, 102.08503201, 102.7901138 ,\n", - " 79.31093078, 79.32585322, 76.50270068, 82.27369404,\n", - " 82.34203669, 33.30821913, 27.7897537 , 73.75207651,\n", - " 61.38155946, 59.48131869, 112.29957295, 98.42113729,\n", - " 88.07212079, 88.08182671, 33.47278494, 68.60509748,\n", - " 123.43080482, 132.87840959, 85.76690409, 117.56263038,\n", - " 79.32223269, 78.8721202 , 66.69274177, 84.63598786,\n", - " 83.95360956, 80.55777203, 85.78697358, 81.50036197,\n", - " 145.75028605, 77.46821921, 66.52431248, 148.46868087,\n", - " 88.81071861, 119.18649962, 112.24673477, 149.23776468,\n", - " 118.57050914, 70.78150079, 72.36730096, 80.14333328,\n", - " 83.37449497, 140.09121687, 91.56613636, 91.09140196,\n", - " 102.99150412, 102.74269643, 84.18532246, 76.73468223,\n", - " 85.09351175, 84.7961876 , 71.35460758, 73.51970347,\n", - " 82.69976823, 87.76806402, 87.17254407, 87.17672766,\n", - " 88.53770785, 86.43214785, 67.04627997, 75.32281923,\n", - " 81.9848455 , 86.67694149, 86.52376223, 66.9058519 ,\n", - " 68.96659076, 111.3905909 , 75.38164869, 62.10871471,\n", - " 143.38453084, 133.54298257, 115.98620136, 81.2801482 ,\n", - " 76.24968243, 76.98271243, 84.9769656 , 34.96555906,\n", - " 35.91041362, 87.64961004, 72.49639052, 68.17463093,\n", - " 76.19808303, 76.19794444, 127.87255946, 110.27107071,\n", - " 76.16058988, 86.42904018, 74.77590884, 80.36721169,\n", - " 76.84759307, 65.00012796, 53.51766746, 87.73932765,\n", - " 88.46568556, 65.88133992, 65.78878451, 86.17200714,\n", - " 88.77890738, 73.84994151, 82.14584006, 78.32525572,\n", - " 76.24047147, 43.14688292, 74.18435103, 68.8620068 ,\n", - " 69.89444892, 57.51593523, 51.99950128, 80.50635913,\n", - " 44.42138085, 85.355585 , 88.63717176, 87.87475302,\n", - " 77.05845802, 81.18728703, 123.90002438, 82.06508794,\n", - " 88.24802478, 131.59434046, 77.84464909, 81.79087399,\n", - " 136.00770163, 79.28106807, 79.17679568, 74.14108509,\n", - " 84.58929341, 86.89897242, 87.44234281, 105.40521134,\n", - " 101.04547954, 122.50339932, 85.85790537, 69.08824649,\n", - " 88.77381877, 88.77407209, 102.1759118 , 101.48908162,\n", - " 80.69472333, 51.72577188, 66.29487427, 117.81598703,\n", - " 77.56610973, 88.98834656, 65.9274337 , 65.33190581,\n", - " 76.40807259, 74.80007817, 72.34345224, 77.29874908,\n", - " 116.9184269 , 115.2383078 , 87.8739729 , 78.15477281,\n", - " 69.19877668, 77.84110247, 83.49703851, 115.8514294 ,\n", - " 88.06636906, 86.6036279 , 75.00532345, 86.63841837,\n", - " 83.78262855, 117.25891921, 52.8492206 , 44.06465725,\n", - " 51.05401278, 77.20969925, 76.1852707 , 139.39132617,\n", - " 112.63317437, 81.35535208, 85.47864282, 88.59565955,\n", - " 79.02955131, 87.19510094, 79.39251254, 48.60016657,\n", - " 50.1135819 , 96.31102166, 88.02575704, 68.70415936,\n", - " 80.56215306, 45.53071578, 51.98109401, 62.59700948,\n", - " 87.27251266, 125.09227408, 66.38421447, 72.09614936,\n", - " 78.9134491 , 77.26040046, 77.04790371, 77.40070357,\n", - " 79.05332479, 74.00653777, 98.96937818, 96.11507832,\n", - " 61.19655888, 82.7035113 , 82.40937155, 82.43083486,\n", - " 86.97362728, 66.15457678, 79.2360205 , 65.74133079,\n", - " 53.7437319 , 51.96408214, 137.78709789, 105.79865633,\n", - " 46.06591041, 48.00917444, 121.19932421, 109.34058215,\n", - " 63.17556339, 131.68570228, 48.46403956, 61.36619661,\n", - " 80.4164037 , 85.09253385, 75.34634701, 85.32041004,\n", - " 87.79988368, 72.66778371, 75.58631183, 85.15441135,\n", - " 122.5599708 , 84.65568087, 79.06016199, 86.12186068,\n", - " 58.24994328, 57.82912211, 143.02703493, 143.2922533 ,\n", - " 84.41515664, 51.0931227 , 72.88399239, 72.34191668,\n", - " 76.1971516 , 79.46595785, 56.86560945, 55.97094794,\n", - " 76.79635473, 68.94867997, 78.21924805, 98.69294171,\n", - " 82.9182889 , 84.10219698, 84.10955461, 136.97767674,\n", - " 78.16931128, 78.66568076, 69.61256254, 67.92022273,\n", - " 143.41078627, 140.15092384, 87.84203791, 81.34076907,\n", - " 116.43074899, 101.45219157, 143.34428246, 117.18783813,\n", - " 81.26912962, 80.94888865, 84.60877965, 94.0126955 ,\n", - " 69.47912625, 45.51243641, 84.83987703, 85.53650287,\n", - " 78.50401733, 78.38873302, 79.75250408, 82.36392095,\n", - " 146.27656284, 140.85252786, 86.8639042 , 76.49117434,\n", - " 81.44549298, 79.72604926, 85.87846666, 84.78405174,\n", - " 87.64527308, 126.64869105, 137.07376414, 87.71488427,\n", - " 87.88236997, 86.82554621, 86.07712843, 84.19093003,\n", - " 78.89309239, 86.64995008, 76.74648322, 73.03120474,\n", - " 82.75046638, 74.22462021, 83.22177561, 139.3966447 ,\n", - " 73.34250254, 103.63643499, 83.82384746, 87.24792858,\n", - " 80.60549831, 64.00216707, 21.00533463, 86.19198212,\n", - " 89.10832486, 120.93344402, 85.31300723, 85.86574584,\n", - " 85.17506 , 42.84743696, 71.37650814, 86.76147228,\n", - " 77.6209207 , 80.47171947, 119.70892978, 86.40668941,\n", - " 87.08107238, 85.54753702, 45.83986446, 87.8842987 ,\n", - " 67.74293681, 99.98363708, 85.59411821, 88.58007475,\n", - " 85.08096454, 78.55783065, 78.5245116 , 90.9249149 ,\n", - " 48.16801555, 130.85727013, 70.77327237, 56.72870122,\n", - " 88.2274862 , 86.98170962, 47.93245493, 52.94977704,\n", - " 75.4982827 , 84.82782302, 75.11497399, 79.35369309,\n", - " 79.36722947, 83.88765262, 76.66906115, 83.44608631,\n", - " 82.6236787 , 121.02089644, 81.36918571, 53.512805 ,\n", - " 85.88095212, 75.41580628, 59.03829641, 86.85349052,\n", - " 74.80394413, 61.82700742, 75.49160878, 53.78600949,\n", - " 123.35964193, 125.31603794, 91.21613771, 79.09459034,\n", - " 78.23130656, 86.54398497, 65.93445212, 86.84244135,\n", - " 78.56139178, 77.98150535, 75.90825931, 107.68002574,\n", - " 36.05734592, 37.38948474, 66.47508046, 87.32593199,\n", - " 64.35162595, 38.72861863, 39.51083737, 77.56668335,\n", - " 87.43323084, 82.42793394, 62.13444783, 15.12586064,\n", - " 85.04379563, 75.70259854, 88.45486428, 75.87608831,\n", - " 82.08111193, 83.52151869, 78.74431553, 87.01660738,\n", - " 78.88359132, 68.18520918, 85.86724365, 79.84496972,\n", - " 88.50452594, 136.07236865, 80.64478064, 88.43135492,\n", - " 58.62826824, 45.69141562, 87.81495666, 86.42185459,\n", - " 85.9170024 , 86.40338384, 89.29294908, 121.18678243,\n", - " 76.4432205 , 90.49895266, 91.18722856, 112.10785765,\n", - " 76.23172352, 74.38868253, 71.7589321 , 55.81764654,\n", - " 56.0753285 , 81.33636873, 76.80810514, 88.96732537,\n", - " 78.91044038, 32.67386794, 32.93042486, 57.20696886,\n", - " 88.370479 , 86.72673744, 53.24078389, 84.01431525,\n", - " 87.94677605, 85.0483428 , 70.85552467, 65.55371208,\n", - " 81.34330522, 87.29287273, 87.68624951, 86.93330985,\n", - " 86.72217339, 67.98567776, 105.80799784, 88.25174484,\n", - " 73.40786463, 110.4646925 , 60.92044044, 83.06404469,\n", - " 84.22693418, 74.87451957, 83.29758936, 86.47005666,\n", - " 76.1700541 , 79.76417791, 137.7705882 , 121.71453536,\n", - " 147.27143619, 126.39171907, 64.34785287, 63.38721489,\n", - " 75.21202968, 86.06871942, 87.09955205, 85.84218403,\n", - " 133.75404876, 87.17250641, 87.88041593, 54.21364957,\n", - " 130.08326136, 76.43028413, 77.98216291, 75.25352892,\n", - " 85.8803185 , 56.87008767, 121.18535252, 87.55554783,\n", - " 101.06070252, 78.71326837, 75.72591982, 76.05731618,\n", - " 77.22478208, 105.16047658, 139.38124714, 86.14419545,\n", - " 83.56863471, 84.54115522, 36.42697292, 84.89451108,\n", - " 85.28897565, 77.93835159, 74.53270969, 75.94251519,\n", - " 57.75116761, 78.50031751, 55.20516122, 91.36674231,\n", - " 76.43630836, 78.21657635, 84.85307439, 78.37661957,\n", - " 79.12999306, 83.38294867, 83.9812493 , 77.43196103,\n", - " 83.13364283, 77.17697647, 80.83874571, 62.62025743,\n", - " 119.92678591, 102.66403327, 74.45227011, 80.49048358,\n", - " 138.16989924, 75.51217306, 77.86777493, 91.49607441,\n", - " 81.86068811, 84.05996933, 81.8671938 , 87.99132446,\n", - " 128.87930227, 79.78007799, 83.88506068, 77.85387285,\n", - " 79.67373284, 77.03272253, 79.87774447, 79.1574692 ,\n", - " 75.79064198, 87.2698185 , 75.33303321, 82.08482126,\n", - " 74.83407544, 64.52973025, 82.7700616 , 76.97098092,\n", - " 77.84005058, 107.70913534, 67.26108588, 75.81503924,\n", - " 86.39908815, 66.13131201, 45.86673759, 69.86936042,\n", - " 83.87518078, 81.55754566, 113.85368606, 120.99819902,\n", - " 87.88293013, 52.15324115, 80.52400943, 86.44393739,\n", - " 87.01795127, 136.32319117, 61.92032879, 149.17446197,\n", - " 111.98705236, 60.69892849, 58.95329278, 146.88044256,\n", - " 80.30047022, 79.75506423, 107.46917513, 99.87599392,\n", - " 55.82722306, 55.43157019, 84.81040907, 85.1463265 ,\n", - " 79.10663375, 86.9976414 , 98.41582315, 136.09989696,\n", - " 74.7179034 , 146.99629892, 68.193944 , 87.87240699,\n", - " 87.87886922, 85.82311042, 77.58522633, 76.19695726,\n", - " 87.19373159, 78.30768283, 82.1908968 , 84.98415097,\n", - " 88.93349797, 66.59445608, 75.18893193, 81.79802776,\n", - " 72.39011501, 75.17710061, 54.12104658, 79.39695176,\n", - " 79.39449617, 78.89836417, 87.66634219, 75.46855251,\n", - " 60.27297195, 61.63608015, 113.89414706, 55.37688936,\n", - " 80.18243708, 98.3106346 , 79.3345421 , 83.97037387,\n", - " 80.83555454, 80.83552975, 76.19798383, 76.73400214,\n", - " 74.94924581, 87.5067386 , 86.90952121, 57.71235398,\n", - " 52.26598382, 87.36745439, 86.74566562, 62.60527983,\n", - " 63.84800159, 86.02519333, 81.89985835, 64.19155694,\n", - " 120.66015449, 70.73141884, 81.28969065, 73.41144364,\n", - " 87.82430502, 42.93137682, 57.30007027, 104.56031254,\n", - " 62.73766269, 82.62633522, 80.28290631, 48.57445287,\n", - " 83.67208254, 69.66985457, 115.32626957, 81.39700423,\n", - " 75.49397072, 65.30266934, 128.88042087, 34.30411242,\n", - " 52.83483949, 87.087179 , 58.67146021, 82.54957588,\n", - " 53.30723578, 71.73022117, 49.63924007, 74.40973922,\n", - " 125.4896258 , 79.92834077, 59.18309281, 78.41447195,\n", - " 77.97627069, 102.35746627, 64.64518509, 68.55554034,\n", - " 87.25627565, 55.23001024, 69.30851211, 102.2849608 ,\n", - " 85.77601068, 84.74332678, 78.29944615, 66.34618581,\n", - " 87.88333743, 81.35186042, 82.06917854, 35.66678935,\n", - " 116.98558526, 105.65217859, 75.83743699, 76.0872776 ,\n", - " 73.20344258, 86.05017742, 103.02109399, 79.90760078,\n", - " 80.4950474 , 85.44224849, 148.6729889 , 78.37049551,\n", - " 59.93818725, 75.59178573, 87.20798643, 104.79114493,\n", - " 44.70642761, 64.13734156, 62.08614249, 70.15681703,\n", - " 80.09185823, 91.91722126, 81.45571119, 78.85941644,\n", - " 83.64333798, 65.97923805, 99.46176058, 78.67290769,\n", - " 113.18425027, 76.52503825, 44.10634246, 75.58736035,\n", - " 88.43810837, 33.7696693 , 60.19078635, 77.42117629,\n", - " 76.06098407, 76.22380814, 57.78069701, 72.38714366,\n", - " 73.75577909, 73.61723519, 77.50104815, 72.20170702,\n", - " 86.59395566, 59.56389938, 78.3026818 , 40.24343294,\n", - " 87.30235208, 65.13594837, 84.97195508, 83.11757888,\n", - " 39.53871584, 51.95831937, 75.04198952, 43.87409137,\n", - " 84.10297214, 88.81079075, 84.7836564 , 84.19504167,\n", - " 78.56139071, 76.19703318, 59.09049713, 76.2837208 ,\n", - " 73.3403338 , 124.9532006 , 72.73040729, 78.04598847,\n", - " 74.88856989, 66.21107693, 76.92785606, 74.64414841,\n", - " 73.52877781, 80.35489014, 71.8708328 , 133.41375592,\n", - " 148.70388825, 39.41981988, 67.15750796, 134.04807093,\n", - " 118.2788882 , 77.55083593, 87.8829301 , 68.15466565,\n", - " 40.2461281 , 132.80709669, 64.2387944 , 71.04006856,\n", - " 81.12971074, 49.81348819, 79.42406476, 75.49723192,\n", - " 83.35939982, 87.70409421, 133.01468124, 87.25399168,\n", - " 73.51526501, 63.26991697, 75.39157766, 84.91574785,\n", - " 72.42086757, 65.92305778, 126.41910878, 77.32609775,\n", - " 121.01125735, 72.71973365, 76.49459751, 77.18483624,\n", - " 81.11159468, 67.50215284, 77.49009401, 77.52302464,\n", - " 87.04024547, 85.8075566 , 81.22703704, 88.63182972,\n", - " 62.78819701, 137.06697543, 83.54843536, 66.9284676 ,\n", - " 59.50307815, 76.30939667, 92.40203623, 54.38341433,\n", - " 86.54148224, 132.38980505, 75.48392257, 80.6222468 ,\n", - " 62.02676044, 76.5873035 , 78.07594848, 62.58219152,\n", - " 84.42176763, 28.83930547, 81.45641495, 87.23744202,\n", - " 61.62056401, 70.56527904, 76.88035904, 78.65826309,\n", - " -1.6634491 , 57.67516529, 44.1850068 , 145.55889459,\n", - " 80.75444323, -0.43162424, -0.79557044, 89.2548906 ,\n", - " 56.12305176, 76.75256156, 83.609462 , 28.03454845,\n", - " 5.86614734, 131.96539211, 80. , 39.99 ,\n", - " 146.836003 , 147.2341694 , 1.72776122, 146.85249592,\n", - " 147.71910544, 78.14083822, 158.72735968, 88.61857706,\n", - " 88.16125642, -0.46157378, 166.1468227 , 29.17264868,\n", - " 46.08952874, 172.94720157, 118.85219153, 131.04407164,\n", - " 82.99460784, 72.89985012, 139.99 , 147.23416959,\n", - " 0. , 0. , 60.73709579, 71.37159848,\n", - " 46.07359942, 64.28530411, 32.60440367, 32.8820671 ,\n", - " 26.77547469, 33.22852408, 53.88644457, 42.34070704,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 68.92503474, 119.88840036, 80.70000022, 54.33109443,\n", - " 88.12462449, 88.25464518, 89.20067382, 86.34116507,\n", - " 69.16673971, 37.04858134, 87.19195351, 88.51600085,\n", - " 94.68585792, 80.98007033, 81.1754218 , 82.6756797 ,\n", - " 68.8933734 , 69.88952941, 68.30443371, 79.38448747,\n", - " 83.2617586 , 82.26653026, 78.89964518, 73.6912742 ,\n", - " 89.02729211, 87.65419553, 78.75992709, 70.85410792,\n", - " 44.48688214, 142.52885891, 100.62629822, 73.97656173,\n", - " 78.24210084, 45.94481326, 81.66925941, 52.08762092,\n", - " 72.18159934, 62.62433855, 28.4883256 , 42.98346746,\n", - " 77.15665654, 79.50478018, 80.73316646, 75.77461192,\n", - " 88.9810758 , 63.90846544, 83.96825825, 75.36986526,\n", - " 89.04617437, 128.0036171 , 86.67887688, 85.86513068,\n", - " 82.76608637, 88.82561626, 55.2884384 , 87.69566532,\n", - " 87.50529657, 122.55884735, 89.54702372, 69.07001637,\n", - " 69.02352262, 65.02534645, 66.68746968, 66.62761747,\n", - " 64.04011662, 70.4790009 , 62.36135727, 60.04996208,\n", - " 75.49519551, 356.68330506, 62.99010513, 70.82663117,\n", - " 81.12984739, 81.66189646, 69.59297542, 74.0190682 ,\n", - " 25.74902965, 81.93249192, 78.53108719, 65.92730533,\n", - " 47.06527896, 114.5857086 , 102.60065533, 102.97693868,\n", - " 79.64186988, 79.65234994, 76.7624696 , 82.52042907,\n", - " 82.58876897, 33.56798803, 28.0495226 , 73.99748746,\n", - " 61.64132837, 59.7410876 , 112.81519632, 98.93676067,\n", - " 88.33169751, 88.34140343, 33.71841253, 68.85072506,\n", - " 123.94642213, 132.87840959, 85.79354037, 117.56263038,\n", - " 79.58201038, 79.13189878, 66.9382781 , 84.88272908,\n", - " 84.22838468, 80.83099149, 86.0337339 , 81.74712229,\n", - " 145.75028605, 77.7414991 , 66.79759236, 148.46868087,\n", - " 89.05747892, 119.37453437, 112.43476952, 149.23776468,\n", - " 118.57050914, 71.0556413 , 72.64144733, 80.41757758,\n", - " 83.64873927, 141.32261841, 92.09109236, 91.61635797,\n", - " 103.27040479, 103.02543758, 84.44580101, 76.99516078,\n", - " 85.34025712, 85.04293213, 71.60014391, 73.7652398 ,\n", - " 82.96763455, 88.02854257, 87.43209933, 87.43628517,\n", - " 89.15396947, 87.04840947, 67.2918163 , 75.56835557,\n", - " 82.23157746, 86.93665825, 86.78346929, 67.17371822,\n", - " 69.21203182, 113.03746482, 75.6270756 , 62.36997099,\n", - " 143.38453084, 133.8397764 , 116.525243 , 81.52690851,\n", - " 76.4964719 , 77.22950624, 85.23673233, 35.22579355,\n", - " 36.17077769, 87.9091696 , 72.74192686, 68.42016726,\n", - " 76.44361937, 76.44348078, 129.47861405, 111.69360165,\n", - " 76.40737813, 86.68880691, 75.0372987 , 80.62860155,\n", - " 77.09437719, 65.25989686, 53.77743636, 87.99880118,\n", - " 88.72516117, 66.14110882, 66.04855341, 86.43221479,\n", - " 89.03867411, 74.11136807, 82.40725061, 78.65945176,\n", - " 76.57522528, 43.40702294, 74.48789522, 69.16555099,\n", - " 70.15683928, 57.77832558, 52.25905596, 80.76591505,\n", - " 44.68093553, 85.60288383, 88.88400136, 88.13433564,\n", - " 77.30501691, 81.43384593, 124.19681821, 82.32464081,\n", - " 88.50753114, 131.89113429, 78.10425835, 82.05220351,\n", - " 136.19580723, 79.54084402, 79.43657212, 74.40401496,\n", - " 84.85228645, 87.1585093 , 87.70188004, 105.69312049,\n", - " 101.33012784, 122.53003561, 86.12322144, 69.35356255,\n", - " 89.033594 , 89.03384687, 102.46677118, 101.77977933,\n", - " 80.91073338, 51.94178193, 66.55464317, 117.81598703,\n", - " 77.86965392, 89.16704127, 66.1872026 , 65.59167471,\n", - " 76.66784152, 75.06150472, 72.5889886 , 77.54437666,\n", - " 116.9184269 , 115.2383078 , 88.13531528, 78.41434322,\n", - " 69.41951641, 78.10067724, 83.75680956, 116.39047104,\n", - " 88.32584259, 86.86320868, 75.26490422, 86.89799915,\n", - " 84.04221007, 117.25891921, 53.09531056, 44.28539698,\n", - " 51.30010274, 77.46927795, 76.44484851, 140.62272771,\n", - " 113.14879226, 81.6037103 , 85.73820039, 88.85521481,\n", - " 79.28913244, 87.45486718, 79.65209367, 48.9490442 ,\n", - " 50.46245953, 96.33765794, 88.05239332, 68.96394973,\n", - " 80.8219136 , 45.77680573, 52.22645974, 62.84238219,\n", - " 87.53212453, 126.32367562, 66.64376914, 72.35570403,\n", - " 79.24762868, 77.50593679, 77.29344004, 77.66148066,\n", - " 79.31310133, 74.26798492, 99.24827885, 96.39397899,\n", - " 61.45894923, 82.96471692, 82.67057689, 82.67756129,\n", - " 87.22035371, 66.41415756, 79.4957981 , 66.00091157,\n", - " 54.00350081, 52.22385105, 139.57809912, 107.91643423,\n", - " 46.32546509, 48.26872912, 121.22596049, 109.36721843,\n", - " 63.43634048, 132.20131959, 48.72481665, 61.63470836,\n", - " 80.66293184, 85.33906199, 75.60791777, 85.57999081,\n", - " 88.05946446, 72.91332005, 75.83184817, 85.41396448,\n", - " 123.07558811, 84.91523411, 79.31962831, 86.38138851,\n", - " 58.50949795, 58.08867678, 143.21638192, 143.48161808,\n", - " 84.6747104 , 51.3538998 , 73.23287002, 72.60147135,\n", - " 76.44268793, 79.72573643, 57.13172065, 56.23674643,\n", - " 77.05683328, 69.19421631, 78.47902619, 99.38731533,\n", - " 83.17784556, 84.36175464, 84.36911117, 136.97767674,\n", - " 78.42886596, 78.92523458, 69.87233144, 68.17999163,\n", - " 143.41078627, 140.15092384, 88.10159746, 81.6005472 ,\n", - " 116.96979063, 101.99123321, 143.34428246, 117.18783813,\n", - " 81.52870578, 81.20846473, 84.86834901, 94.29543665,\n", - " 69.72550663, 45.75881679, 85.10040563, 85.7960846 ,\n", - " 78.78866563, 78.64830892, 80.01208142, 82.62347515,\n", - " 146.27656284, 140.85252786, 87.12348304, 76.75072902,\n", - " 81.70506919, 79.98562518, 86.13804433, 85.04360503,\n", - " 87.904826 , 126.67532734, 137.10040042, 87.97627183,\n", - " 88.14372177, 87.08511556, 86.33669713, 84.45048332,\n", - " 79.15266829, 86.90971901, 77.00887358, 73.27758512,\n", - " 83.0102342 , 74.4843891 , 83.22177561, 139.3966447 ,\n", - " 73.67679298, 103.91533566, 84.07024773, 87.50750691,\n", - " 80.8787782 , 64.27544695, 21.251715 , 86.46511174,\n", - " 89.37519824, 120.93344402, 85.55978647, 86.11252787,\n", - " 85.3537547 , 43.09383723, 71.55520284, 87.02123901,\n", - " 77.88068743, 80.99667547, 120.23388578, 86.65321755,\n", - " 87.34084718, 85.80731181, 46.09960713, 88.14564639,\n", - " 68.09181444, 100.52267872, 85.85369975, 88.83954467,\n", - " 85.34499872, 78.81739928, 78.78408023, 91.21282405,\n", - " 48.42778445, 131.15406395, 71.03404946, 57.07757884,\n", - " 88.47419117, 87.22841459, 48.33370418, 53.34272365,\n", - " 75.75807184, 85.08729653, 75.45157514, 79.61326173,\n", - " 79.62679811, 84.14742447, 76.92861454, 83.70564888,\n", - " 82.88324446, 121.53651374, 81.61556609, 53.75918538,\n", - " 86.14051916, 75.68908617, 59.31242941, 87.1130435 ,\n", - " 75.10748832, 62.08656081, 75.73714511, 54.17686575,\n", - " 123.54767669, 125.5040727 , 91.83239933, 79.35431871,\n", - " 78.49103297, 86.80533148, 66.31711073, 87.10378785,\n", - " 78.89952976, 78.31964332, 76.16783461, 109.47102696,\n", - " 36.34074046, 37.67287928, 66.73684013, 87.58551083,\n", - " 64.73428457, 38.97470859, 39.85971499, 77.81221968,\n", - " 87.6946188 , 82.67465526, 62.37998416, 15.37139698,\n", - " 85.303279 , 75.96213123, 88.71441539, 76.13569298,\n", - " 82.32793074, 83.78107246, 79.00387027, 87.27638215,\n", - " 79.15687121, 68.45848907, 86.12682153, 80.1045472 ,\n", - " 88.76407012, 136.59732465, 80.87651375, 88.66308803,\n", - " 58.89514162, 45.958289 , 88.07451621, 86.66858962,\n", - " 86.17640007, 86.66278152, 89.56725168, 121.48357625,\n", - " 76.70279824, 90.77296861, 91.46124452, 113.75526729,\n", - " 76.47725985, 74.63421887, 72.04232665, 56.09092642,\n", - " 56.34860838, 81.59577569, 77.06788328, 89.22672305,\n", - " 79.24464476, 32.93363684, 33.19019376, 57.46673777,\n", - " 88.63003149, 86.98628916, 53.48641148, 84.26102022,\n", - " 88.20632603, 85.29504777, 71.10222964, 65.81348098,\n", - " 81.60301773, 87.55264427, 87.94602179, 87.19292897,\n", - " 86.98187592, 68.2312141 , 105.80799784, 88.51129558,\n", - " 73.66765658, 111.00373414, 61.29445193, 83.32361398,\n", - " 84.48655933, 75.11996063, 83.55733681, 86.72963823,\n", - " 76.41559044, 80.02375376, 137.77817195, 121.90257012,\n", - " 147.27143619, 126.39171907, 64.5933892 , 63.63275122,\n", - " 75.47324919, 86.32827472, 87.35910711, 86.10173955,\n", - " 134.26966623, 87.43206114, 88.1417719 , 54.58766106,\n", - " 130.10989765, 76.69006266, 78.24173827, 75.6054842 ,\n", - " 86.1453167 , 57.14321729, 121.18535252, 87.8019481 ,\n", - " 101.3702667 , 78.98742778, 75.98884969, 76.31686956,\n", - " 77.48433546, 105.4673232 , 139.8968717 , 86.40377335,\n", - " 83.82834218, 84.78755549, 36.68678028, 85.1575132 ,\n", - " 85.54846634, 78.19787322, 74.81108203, 76.21579508,\n", - " 58.0244475 , 78.75987096, 55.45069755, 91.3933786 ,\n", - " 76.80515837, 78.55317313, 85.11442089, 78.62335153,\n", - " 79.37672501, 83.62947681, 84.22777744, 77.45859731,\n", - " 83.38015129, 77.42348493, 81.05467485, 62.98910744,\n", - " 120.1161329 , 102.85338025, 74.7558143 , 80.73686395,\n", - " 138.357934 , 75.77171827, 78.12725435, 91.76120465,\n", - " 82.12581836, 84.31954605, 82.08460753, 88.25090117,\n", - " 129.06864925, 80.03965821, 84.13184471, 78.11365098,\n", - " 79.93351097, 77.29245224, 80.13732525, 79.41704998,\n", - " 76.09418617, 87.52940013, 75.6365774 , 82.33154785,\n", - " 75.07961177, 64.77526659, 83.02982915, 77.23075906,\n", - " 78.09982872, 108.00027798, 67.62881662, 76.16800741,\n", - " 86.65866694, 66.50146708, 46.23689266, 70.23812091,\n", - " 84.13482344, 81.81718832, 113.88032235, 121.53724066,\n", - " 88.14428074, 52.54618776, 80.78358528, 86.64557318,\n", - " 87.26465624, 136.32319117, 62.16670916, 149.17446197,\n", - " 112.50266983, 60.95848317, 59.21284746, 146.88044256,\n", - " 80.56004607, 80.01554278, 107.49581141, 99.90263021,\n", - " 56.10050295, 55.70485008, 85.05678944, 85.40753213,\n", - " 79.36612118, 87.25740858, 99.11019677, 136.61551485,\n", - " 74.96343974, 146.99629892, 68.54808039, 88.13378007,\n", - " 88.1402285 , 86.06989246, 77.84470576, 76.44249359,\n", - " 87.45329106, 78.56746097, 82.450451 , 85.24429631,\n", - " 89.19315933, 66.96314923, 75.45015058, 82.05923414,\n", - " 72.64990698, 75.43689258, 54.46992421, 79.65654618,\n", - " 79.6540304 , 79.15791749, 87.92590194, 75.71408884,\n", - " 60.54721625, 61.89585867, 114.4331887 , 55.65016925,\n", - " 80.49200126, 98.60022247, 79.59432487, 84.25996175,\n", - " 81.05148368, 81.05145889, 76.44352017, 76.99367304,\n", - " 75.20897827, 87.76812492, 87.17090753, 57.97190736,\n", - " 52.5255372 , 87.62722333, 87.00523127, 62.98793845,\n", - " 64.12214211, 86.28476571, 82.14659273, 64.56190111,\n", - " 120.66015449, 71.06788554, 81.5364743 , 73.6719222 ,\n", - " 88.07108705, 43.17672934, 57.56378472, 104.58694882,\n", - " 63.00059256, 82.88590054, 80.54247389, 48.79038201,\n", - " 83.91886656, 69.93033312, 115.32626957, 81.64356312,\n", - " 75.7535027 , 65.54820568, 128.88042087, 34.5508174 ,\n", - " 53.09460839, 87.35005715, 58.94474009, 82.57621217,\n", - " 53.57223398, 71.97660154, 49.88562045, 74.7478772 ,\n", - " 125.4896258 , 80.62271439, 59.44264748, 78.44110824,\n", - " 78.23585261, 102.89650791, 65.02784371, 68.84639972,\n", - " 87.51604276, 55.48956492, 69.6772726 , 102.82400244,\n", - " 86.02279271, 84.99010882, 78.55899941, 66.60666436,\n", - " 88.14468717, 81.61163855, 82.31590058, 35.92655825,\n", - " 117.17493225, 106.16780203, 76.09721512, 76.34705574,\n", - " 73.89781619, 86.3097477 , 103.54604999, 80.16718155,\n", - " 81.01067105, 85.68903053, 148.6729889 , 78.63004919,\n", - " 60.19795615, 75.85319628, 87.46755777, 104.98049191,\n", - " 45.10767686, 64.39891232, 62.46015397, 70.41655636,\n", - " 80.35163477, 92.43284476, 81.702505 , 79.11896994,\n", - " 83.91689564, 66.32811567, 99.48839686, 78.93246243,\n", - " 113.37732588, 76.78481639, 44.47510295, 75.84703125,\n", - " 88.69788327, 34.02940863, 60.46503065, 77.68095725,\n", - " 76.32056686, 76.48358628, 58.04046591, 72.63267999,\n", - " 74.29482073, 73.87702713, 77.76060174, 72.53817458,\n", - " 86.84074947, 59.82369727, 78.56246276, 40.6446822 ,\n", - " 87.32898837, 65.47241507, 85.49691109, 83.36528543,\n", - " 39.88759347, 52.21836071, 75.30341608, 44.15246371,\n", - " 84.36252869, 89.05755107, 85.04305408, 84.45461902,\n", - " 78.89952869, 76.44256952, 59.3646435 , 76.52925714,\n", - " 73.60176036, 125.49224224, 72.97594362, 78.30873932,\n", - " 75.14978823, 66.45651799, 77.18907626, 74.90536861,\n", - " 73.832322 , 80.61572577, 72.13166843, 133.71054975,\n", - " 148.70388825, 39.82106914, 67.4030443 , 134.05565467,\n", - " 118.2788882 , 77.85438012, 88.14428071, 68.40020198,\n", - " 40.50568278, 133.10389052, 64.48420535, 71.56502456,\n", - " 81.38928472, 50.07426528, 79.68496373, 75.75680512,\n", - " 83.61914229, 87.95079918, 133.01468124, 87.50070323,\n", - " 73.81880919, 63.51535803, 75.65130881, 85.17627646,\n", - " 72.75733427, 66.25952448, 126.93473309, 77.58566943,\n", - " 121.01125735, 73.05725394, 76.75415132, 77.44438962,\n", - " 81.37280002, 67.74768917, 77.75144051, 77.78437114,\n", - " 87.28697189, 86.07027076, 81.48661289, 88.89160471,\n", - " 63.04777779, 137.25501019, 83.8096407 , 67.1882365 ,\n", - " 59.76284705, 76.57075666, 92.42867252, 54.92245597,\n", - " 86.80106114, 132.5778398 , 75.74514122, 80.89546626,\n", - " 62.28653858, 76.84708163, 78.33572661, 62.82772786,\n", - " 84.68134548, 29.08465799, 81.71610301, 87.49701337,\n", - " 61.85887511, 70.94793766, 77.14013757, 78.91804162,\n", - " -1.6634491 , 58.02934989, 44.59318326, 145.85522659,\n", - " 80.97032668, -0.43160371, -0.79554975, 89.50096441,\n", - " 56.53347789, 77.0400477 , 83.87730674, 28.45713356,\n", - " 6.11149022, 132.48101642, 80. , 39.99 ,\n", - " 147.44054056, 147.59122398, 1.72776122, 147.20950983,\n", - " 148.32059865, 78.43204091, 158.92043529, 88.87754617,\n", - " 88.42081293, -0.46150616, 167.7955566 , 29.44817169,\n", - " 46.35594567, 173.45146146, 119.09052304, 131.55968895,\n", - " 83.02124412, 73.1381601 , 139.99 , 147.59122417,\n", - " 0. , 0. , 60.92376758, 71.38012211,\n", - " 46.194113 , 64.28530411, 33.14475894, 33.26608534,\n", - " 26.77547469, 33.46683116, 53.88644457, 42.34070704,\n", - " 50.82314356, 52.59805224, 57.88632353]), array([ 70.70912041, 124.13229859, 82.03685014, 55.66882543,\n", - " 89.36599943, 89.49538739, 90.44137627, 87.58413151,\n", - " 70.41561793, 38.29768112, 88.44195278, 89.76596136,\n", - " 97.09749822, 82.22274357, 82.41588511, 83.91614303,\n", - " 70.65079142, 71.42422965, 69.54532801, 80.62537909,\n", - " 84.50480407, 83.50953481, 80.13999037, 75.1993377 ,\n", - " 90.27737656, 88.90391391, 80.00023217, 71.7002091 ,\n", - " 45.3354575 , 142.81717912, 100.98488214, 74.90541972,\n", - " 79.17214733, 47.1946296 , 82.96388041, 53.33743716,\n", - " 73.43446364, 63.87721679, 29.73814221, 44.23328393,\n", - " 78.53804162, 80.8861697 , 82.02915872, 77.11520841,\n", - " 90.21778731, 64.24673288, 85.26925541, 75.65196825,\n", - " 90.2850569 , 132.24898774, 87.92164481, 87.10790363,\n", - " 84.00423924, 90.06256563, 56.66994594, 89.0768228 ,\n", - " 88.88647195, 124.16549851, 89.66086279, 70.67682162,\n", - " 69.99465021, 66.44956249, 68.25651647, 68.19702283,\n", - " 65.28993211, 71.72888896, 63.8751525 , 61.56571454,\n", - " 76.7450061 , 357.97484445, 64.23991915, 72.07644819,\n", - " 82.27733255, 82.80938162, 70.49748123, 75.32014311,\n", - " 27.05011264, 83.13198289, 79.73865165, 67.49644514,\n", - " 47.9204397 , 116.25020679, 104.26515877, 103.25906222,\n", - " 80.61132729, 80.63670088, 78.0122796 , 83.70860383,\n", - " 83.77803126, 34.81780473, 29.29933926, 75.50567328,\n", - " 62.89114256, 60.99090302, 114.47740834, 100.5989755 ,\n", - " 89.5686469 , 89.57835282, 35.21039508, 70.34269484,\n", - " 125.86301026, 133.27625284, 86.16896734, 117.96052561,\n", - " 80.83217732, 80.38209597, 68.50747986, 86.06842155,\n", - " 85.38416525, 81.98645156, 87.21169643, 82.92510215,\n", - " 146.09935337, 80.18830766, 69.24404766, 148.84378042,\n", - " 90.23544024, 119.79898103, 112.85922523, 149.55974182,\n", - " 118.94563177, 73.33506044, 74.93665788, 82.8369535 ,\n", - " 86.06690402, 141.6075067 , 93.4967772 , 93.02208258,\n", - " 105.90645211, 105.7821227 , 85.8268929 , 78.37653499,\n", - " 86.52427777, 86.22729382, 73.17123211, 75.33524419,\n", - " 84.72430542, 89.40908382, 88.67387758, 88.67819762,\n", - " 89.40114658, 87.29627879, 68.82765547, 77.13232204,\n", - " 83.42113012, 88.18467878, 88.03115134, 68.93038947,\n", - " 70.7220023 , 113.38131851, 77.13620744, 63.66249374,\n", - " 143.7470982 , 138.19417043, 117.70466421, 82.70501373,\n", - " 77.66193491, 78.39301268, 86.48646177, 36.4893224 ,\n", - " 37.43812938, 89.15122705, 74.27750353, 69.95735366,\n", - " 78.00828376, 78.0081843 , 129.82416777, 112.03200332,\n", - " 77.57338522, 87.93853646, 76.33346291, 81.92476586,\n", - " 78.2621882 , 66.50971362, 55.02725609, 89.23847387,\n", - " 89.96418175, 67.39092293, 67.29836821, 87.7776349 ,\n", - " 90.28840517, 75.40865935, 83.70420321, 79.61653049,\n", - " 77.52945366, 44.66776179, 75.90316228, 70.58092541,\n", - " 71.47802442, 59.09951053, 53.501092 , 82.00860162,\n", - " 45.92233734, 86.75021738, 90.03115933, 89.37731379,\n", - " 78.55079529, 82.67962431, 128.43553355, 83.56291265,\n", - " 89.74600146, 136.2451873 , 79.34890451, 83.34729642,\n", - " 136.62178176, 80.79094967, 80.68669791, 75.74286377,\n", - " 86.18823884, 88.39629923, 88.93967999, 108.57458093,\n", - " 104.13753339, 122.82854466, 88.05308797, 71.3258773 ,\n", - " 90.2836151 , 90.28385448, 105.39620936, 104.70503353,\n", - " 82.17475502, 53.20620351, 67.80445923, 118.16535114,\n", - " 79.28493823, 90.27742718, 67.43701925, 66.84149146,\n", - " 77.91764941, 76.35879702, 74.10080333, 79.03510889,\n", - " 117.31341523, 115.6327941 , 89.4307295 , 79.65671564,\n", - " 70.69617786, 79.34328527, 85.00671311, 117.56625116,\n", - " 89.56562026, 88.10612741, 76.50785685, 88.1408894 ,\n", - " 85.28515111, 117.65477464, 54.43304502, 45.56214114,\n", - " 52.63783793, 78.7120901 , 77.68761316, 140.91104825,\n", - " 115.00681046, 82.93732431, 86.98009914, 90.0971441 ,\n", - " 80.53210249, 88.70456874, 80.89505549, 49.79844051,\n", - " 51.31186005, 96.69673407, 88.41151989, 70.21442673,\n", - " 82.07147835, 47.11490188, 53.73146199, 64.34805427,\n", - " 88.77615787, 126.61194124, 67.88516347, 73.59709809,\n", - " 80.20463436, 79.07572811, 78.86323317, 78.94098987,\n", - " 80.56323069, 75.56569317, 101.88463728, 99.03162834,\n", - " 62.78013414, 84.25590105, 83.96175376, 83.86909708,\n", - " 88.41274905, 67.65709443, 80.74596215, 67.24387511,\n", - " 55.25331679, 53.47366703, 139.90596428, 108.2507531 ,\n", - " 47.56685954, 49.51012352, 121.58035584, 109.72510431,\n", - " 64.71585849, 134.07133212, 50.00447927, 63.44401234,\n", - " 81.91835492, 86.5944851 , 77.12041115, 86.82290953,\n", - " 89.30238287, 74.44885352, 77.36810548, 86.65547242,\n", - " 124.99103507, 86.15672423, 80.56050642, 87.61936173,\n", - " 59.75089707, 59.33007596, 143.74290474, 144.00879837,\n", - " 85.91618644, 52.63341785, 74.07601401, 73.84286553,\n", - " 78.0076153 , 80.97593362, 58.74150591, 57.8206367 ,\n", - " 78.4382158 , 70.76203428, 79.72923144, 99.65214021,\n", - " 84.41962036, 85.60364398, 85.61089959, 137.37122917,\n", - " 79.67025179, 80.16596644, 71.1221484 , 69.42980858,\n", - " 143.77367241, 140.51382688, 89.34365017, 82.85075683,\n", - " 118.12881187, 103.15045763, 143.73964575, 117.58350345,\n", - " 82.77138562, 82.45114084, 86.11075313, 97.05239161,\n", - " 71.02659149, 47.05990171, 86.37222706, 87.03903271,\n", - " 81.5961153 , 79.89097633, 81.25482066, 83.86166463,\n", - " 146.66369051, 141.23167537, 88.36627515, 77.99211749,\n", - " 82.94775127, 81.22829389, 87.38079357, 86.28508533,\n", - " 89.14484137, 127.0151982 , 137.44097939, 89.27272022,\n", - " 89.4393576 , 88.32787582, 87.57943617, 85.6919662 ,\n", - " 80.39533573, 88.15952297, 78.33005832, 74.57866572,\n", - " 84.26001372, 75.73420337, 83.2347626 , 139.40969458,\n", - " 74.63505004, 106.55141766, 85.40708503, 88.7502854 ,\n", - " 83.31732542, 66.71906209, 22.55280005, 88.89639662,\n", - " 91.41925021, 120.94115579, 86.72972812, 87.2813172 ,\n", - " 86.47381335, 44.43353978, 72.67600302, 88.27096733,\n", - " 79.13041615, 82.40398367, 121.64188221, 87.90864066,\n", - " 88.59085532, 87.05731996, 47.34867368, 89.44118601,\n", - " 68.94035173, 101.42061671, 87.09664149, 90.08019005,\n", - " 86.68792444, 80.05967438, 80.0263551 , 94.09518233,\n", - " 49.67760421, 135.50824693, 72.31356461, 57.92681613,\n", - " 89.67370979, 88.42790754, 50.07296998, 54.98658109,\n", - " 77.0085269 , 86.32806207, 76.39233658, 80.85553988,\n", - " 80.86907395, 85.39734888, 78.16900884, 84.94772134,\n", - " 84.12545905, 123.45205652, 82.91657637, 55.06019576,\n", - " 87.38318774, 78.13589496, 61.57111123, 88.35461336,\n", - " 76.52271375, 63.32695335, 77.27020493, 55.62489016,\n", - " 123.97026765, 125.92639363, 92.08037558, 80.60274333,\n", - " 79.73938336, 88.10092855, 66.87371051, 88.39938511,\n", - " 79.82896613, 79.24908 , 77.41047135, 109.79889258,\n", - " 37.72670561, 39.05900309, 68.27319144, 88.82830294,\n", - " 65.29089129, 40.3126524 , 40.71289 , 79.38194237,\n", - " 88.99107592, 83.86810689, 63.90876096, 16.90017382,\n", - " 86.54435115, 77.2045207 , 89.95600148, 77.38020643,\n", - " 83.48003658, 85.02254809, 80.24530206, 88.52638976,\n", - " 81.60328897, 70.90364355, 87.36958054, 81.34729285,\n", - " 90.00533963, 137.94162403, 82.1696097 , 89.95618399,\n", - " 60.93969556, 48.00301077, 89.31656892, 87.85678706,\n", - " 87.41669698, 87.9030778 , 92.02600542, 125.72789552,\n", - " 77.94555884, 93.2256813 , 93.91399987, 114.09909379,\n", - " 78.00707926, 76.16422162, 73.42623491, 58.53586374,\n", - " 58.7941945 , 82.83623105, 78.31809271, 90.46686723,\n", - " 80.20154477, 34.18345357, 34.44001047, 58.71655373,\n", - " 89.87048196, 88.22754195, 54.97854468, 85.46056944,\n", - " 89.44768908, 86.49459687, 72.30176368, 67.06329774,\n", - " 82.85089836, 88.80252183, 89.19592266, 88.43747922,\n", - " 88.22939964, 69.80101187, 105.81593727, 89.75264495,\n", - " 74.91817903, 111.92465701, 62.71867029, 84.56639168,\n", - " 85.73133492, 76.6343925 , 84.80644604, 87.97258123,\n", - " 77.9453028 , 81.26641912, 137.86434131, 122.32701954,\n", - " 147.66071224, 126.78212907, 66.12174385, 65.16121933,\n", - " 76.76476976, 87.5700251 , 88.60087316, 87.34350545,\n", - " 136.13743093, 88.67381191, 89.43750474, 56.01187946,\n", - " 130.45435095, 77.94070055, 79.48437758, 76.42249817,\n", - " 88.04278088, 59.58418062, 121.32889712, 89.13865344,\n", - " 104.36324922, 81.31473267, 77.32769944, 77.5572545 ,\n", - " 78.72472255, 108.48537354, 141.48381465, 87.64653282,\n", - " 85.07604345, 86.12436184, 37.93767806, 86.49346383,\n", - " 86.789735 , 79.43990864, 76.18459682, 78.66352435,\n", - " 60.47355453, 80.0003117 , 57.02065052, 91.73488202,\n", - " 77.47786089, 79.49396341, 86.41001815, 79.81301622,\n", - " 80.56645235, 84.88489993, 85.48320056, 77.82834264,\n", - " 84.64166851, 78.68500345, 82.31701226, 63.66181573,\n", - " 120.65170442, 103.39093187, 76.17118872, 82.03795133,\n", - " 138.77817053, 77.01452281, 79.3683936 , 93.67247905,\n", - " 84.04477737, 85.556535 , 83.35087708, 89.48785882,\n", - " 129.60288215, 81.2825492 , 85.30063106, 79.36386093,\n", - " 81.18372092, 78.54091778, 81.38025175, 80.65997668,\n", - " 77.50956205, 88.77232357, 77.05195346, 83.5230524 ,\n", - " 76.60942994, 66.30404337, 84.27959273, 78.48096896,\n", - " 79.35003867, 110.93642716, 68.31123551, 76.97640737,\n", - " 87.90145814, 67.16270384, 46.89812942, 70.91182807,\n", - " 85.3802258 , 83.0625907 , 114.22512396, 122.69572607,\n", - " 89.4398889 , 54.19004534, 82.02625059, 87.84563764,\n", - " 88.46420534, 136.64521169, 63.46779655, 149.47224101,\n", - " 114.37047054, 62.1998775 , 60.45424179, 147.27157348,\n", - " 81.80271139, 81.39678873, 107.85445133, 100.26127916,\n", - " 58.54591719, 58.150413 , 86.35756784, 86.69871632,\n", - " 80.60736549, 88.50714742, 99.37398838, 138.47346684,\n", - " 76.52751228, 147.3716512 , 70.02032966, 89.42990799,\n", - " 89.43603792, 87.23868185, 79.08585109, 78.00747582,\n", - " 88.69531513, 79.81766671, 83.68864742, 86.50506643,\n", - " 90.42819633, 67.63721521, 76.74164816, 83.35043639,\n", - " 73.90042972, 76.68741532, 55.31933612, 80.90088462,\n", - " 80.8964687 , 80.39822088, 89.16793716, 77.24708882,\n", - " 62.96726592, 63.14667971, 115.60939121, 58.097163 ,\n", - " 83.4850228 , 101.48573246, 80.84453111, 87.14550295,\n", - " 82.31472204, 82.31470425, 78.00821257, 78.24041341,\n", - " 76.45753008, 89.0645471 , 88.46732971, 59.21229947,\n", - " 53.76593095, 88.87702601, 88.247841 , 63.53779724,\n", - " 66.40156292, 87.52174382, 83.33507266, 65.22144167,\n", - " 120.80703738, 72.0095135 , 82.70454951, 75.0533823 ,\n", - " 89.23987643, 44.68032078, 59.3212047 , 104.94543903,\n", - " 64.33944315, 84.12806336, 81.78471809, 50.05362324,\n", - " 85.08768054, 71.31179329, 115.72077981, 82.88934151,\n", - " 76.99586947, 67.08120995, 129.27155266, 35.75035165,\n", - " 54.34442503, 88.68309475, 61.4057115 , 82.93534036,\n", - " 55.46989819, 73.27768223, 51.18670223, 75.67731036,\n", - " 125.51192274, 80.88761958, 60.68404811, 78.80024642,\n", - " 79.47984058, 104.05554196, 65.58368019, 71.7762344 ,\n", - " 88.76577763, 56.73096554, 70.35244346, 103.74504227,\n", - " 87.19158212, 86.15889823, 79.79928889, 67.98813614,\n", - " 89.44027495, 82.8618485 , 83.50912373, 37.17637837,\n", - " 117.71019895, 107.82695827, 77.34744605, 77.59731118,\n", - " 74.16362539, 87.55219587, 104.94941648, 81.41010751,\n", - " 82.65957382, 86.85789085, 149.03570638, 79.87067398,\n", - " 61.44777289, 77.15017387, 88.71005235, 105.51722428,\n", - " 46.84694891, 65.91209389, 63.88437373, 71.66532828,\n", - " 81.60176413, 94.08896637, 82.86601157, 80.35945022,\n", - " 86.36090053, 67.17645566, 99.84636034, 80.17389422,\n", - " 114.02614926, 78.03507249, 45.15497471, 77.09377162,\n", - " 89.9478946 , 35.27818063, 62.88450214, 78.93121347,\n", - " 77.5645838 , 77.73384237, 59.29028312, 74.16249816,\n", - " 75.19609623, 75.12754958, 79.0011519 , 73.47975935,\n", - " 88.00425611, 61.07436543, 79.81271899, 42.38395557,\n", - " 87.68811793, 66.41404517, 86.90260963, 84.51277058,\n", - " 40.73834141, 53.47618324, 76.60070838, 45.52597855,\n", - " 85.60431687, 90.23550664, 86.28349962, 85.69735844,\n", - " 79.82896537, 78.00753032, 61.66038437, 78.05907618,\n", - " 74.89905265, 126.78147331, 74.51149825, 79.63873677,\n", - " 76.44127627, 67.97031347, 78.48061565, 76.19690801,\n", - " 75.24769642, 81.89636493, 73.41230759, 138.06472827,\n", - " 149.02333522, 41.56043936, 68.9388835 , 134.14190787,\n", - " 118.65551836, 79.26975618, 89.43988887, 69.93002117,\n", - " 41.74707724, 137.45808011, 65.9924177 , 72.96849428,\n", - " 82.63186657, 51.35383593, 80.96740723, 76.99933104,\n", - " 84.86807875, 89.15480993, 133.37757438, 88.69870279,\n", - " 75.23418188, 65.02991374, 76.8998181 , 86.44809789,\n", - " 73.6989833 , 67.20294724, 128.54462916, 78.82811215,\n", - " 121.40936273, 73.99052526, 77.99500278, 78.68509353,\n", - " 82.6639769 , 69.27784045, 79.04703781, 79.07996848,\n", - " 88.47945946, 87.39938734, 82.72927815, 90.14161873,\n", - " 64.29116317, 137.6774615 , 85.10082846, 68.44198546,\n", - " 61.01669783, 77.86674892, 92.78782566, 55.84361008,\n", - " 88.04385473, 133.00029117, 77.0366388 , 82.05092641,\n", - " 63.5368238 , 78.09728879, 79.58598285, 64.35663504,\n", - " 85.92409709, 30.59444759, 82.96322869, 88.73950851,\n", - " 62.1973308 , 71.5051068 , 78.39073701, 80.16824089,\n", - " -1.6634491 , 59.51114264, 46.41047792, 149.98987626,\n", - " 82.23142291, -0.43150796, -0.79545366, 90.6446857 ,\n", - " 57.96404523, 79.84129073, 85.6321787 , 30.53296071,\n", - " 7.61346151, 134.09091249, 80. , 39.99 ,\n", - " 151.54223537, 149.64626471, 1.72776122, 149.25649903,\n", - " 152.38800155, 81.38172153, 159.56911572, 90.11460937,\n", - " 89.65536296, -0.46119866, 168.11961629, 31.76258438,\n", - " 47.99122232, 175.09830071, 119.43240467, 133.42970148,\n", - " 83.39740496, 73.4951036 , 139.99 , 149.64626489,\n", - " 0. , 0. , 61.18699985, 71.47900199,\n", - " 46.194113 , 64.28530411, 33.90591252, 33.80366226,\n", - " 26.77547469, 33.80278508, 53.88644457, 42.34070704,\n", - " 50.82314356, 52.59805224, 57.88632353])]\n", - "Demand: [array([ 2.21100000e-01, 1.03290000e+00, 2.01630000e+00, 1.42890000e+00,\n", - " 7.59000000e-02, 1.38600000e-01, 9.24000000e-02, 1.94700000e-01,\n", - " 3.20100000e-01, 4.95000000e-02, 1.94700000e-01, 1.55100000e-01,\n", - " 3.47160000e+00, 1.32000000e-02, 4.62000000e-02, 2.97000000e-02,\n", - " 1.73250000e+00, 1.24740000e+00, 1.88100000e-01, 2.93700000e-01,\n", - " 6.93000000e-02, 3.63000000e-02, 1.98000000e-02, 0.00000000e+00,\n", - " 6.60000000e-02, 2.17800000e-01, 1.65000000e-02, 1.27050000e+00,\n", - " 2.47500000e-01, 1.01970000e+00, 5.41200000e-01, 4.12500000e-01,\n", - " 4.55400000e-01, 1.98000000e-02, 0.00000000e+00, 2.31000000e-02,\n", - " 2.57400000e-01, 1.18800000e-01, 5.94000000e-02, 4.29000000e-02,\n", - " 1.48500000e-01, 1.38600000e-01, 3.72900000e-01, 7.85400000e-01,\n", - " 1.25400000e-01, 1.30350000e+00, 4.12500000e-01, 1.65990000e+00,\n", - " 2.07900000e-01, 5.80140000e+00, 3.63000000e-02, 4.62000000e-02,\n", - " 1.51800000e-01, 1.08900000e-01, 2.44200000e-01, 5.94000000e-02,\n", - " 2.17800000e-01, 1.73580000e+00, 3.01290000e+00, 8.08500000e-01,\n", - " 5.64300000e-01, 4.95000000e-01, 1.98000000e-01, 8.44800000e-01,\n", - " 1.02300000e-01, 8.25000000e-02, 8.05200000e-01, 6.86400000e-01,\n", - " 3.30000000e-02, 0.00000000e+00, 1.51800000e-01, 1.55100000e-01,\n", - " 1.32000000e-02, 3.63000000e-02, 2.77200000e-01, 5.67600000e-01,\n", - " 3.36600000e-01, 1.08900000e-01, 1.12200000e-01, 8.31600000e-01,\n", - " 1.93380000e+00, 1.71930000e+00, 3.76200000e-01, 6.07200000e-01,\n", - " 7.09500000e-01, 7.92000000e-01, 8.91000000e-02, 1.84800000e-01,\n", - " 3.30000000e-02, 3.96000000e-02, 5.94000000e-02, 0.00000000e+00,\n", - " 1.65000000e-02, 4.62000000e-02, 6.69900000e-01, 1.74900000e-01,\n", - " 1.98000000e-02, 0.00000000e+00, 4.95000000e-02, 5.37900000e-01,\n", - " 4.29000000e-01, 1.53120000e+00, 2.00640000e+00, 3.72900000e-01,\n", - " 5.94000000e-02, 2.97000000e-02, 1.55100000e-01, 2.97000000e-02,\n", - " 8.87700000e-01, 6.89700000e-01, 2.11200000e-01, 1.71600000e-01,\n", - " 1.79850000e+00, 3.63000000e-01, 0.00000000e+00, 8.67900000e-01,\n", - " 5.70900000e-01, 2.81820000e+00, 4.55400000e-01, 1.34970000e+00,\n", - " 2.80500000e-01, 3.82800000e-01, 1.04610000e+00, 1.75560000e+00,\n", - " 1.57080000e+00, 3.14490000e+00, 4.68600000e-01, 2.01300000e-01,\n", - " 1.33650000e+00, 1.65660000e+00, 5.64300000e-01, 3.10200000e-01,\n", - " 6.60000000e-02, 2.64000000e-01, 4.91700000e-01, 3.43200000e-01,\n", - " 2.90400000e-01, 8.58000000e-01, 2.44200000e-01, 8.25000000e-02,\n", - " 1.64010000e+00, 1.39590000e+00, 1.22430000e+00, 1.28040000e+00,\n", - " 1.94700000e-01, 2.21100000e-01, 4.29000000e-02, 1.15500000e-01,\n", - " 2.37600000e-01, 4.55400000e-01, 0.00000000e+00, 0.00000000e+00,\n", - " 3.27690000e+00, 4.76520000e+00, 1.03455000e+01, 2.70600000e-01,\n", - " 2.97000000e-01, 1.61700000e-01, 3.63000000e-02, 3.96000000e-02,\n", - " 9.90000000e-02, 8.58000000e-02, 5.31300000e-01, 4.85100000e-01,\n", - " 4.55400000e-01, 1.32000000e-01, 3.41880000e+00, 6.26010000e+00,\n", - " 9.57000000e-02, 8.25000000e-02, 2.21100000e-01, 8.91000000e-02,\n", - " 9.90000000e-02, 2.34300000e-01, 4.42200000e-01, 1.58400000e-01,\n", - " 2.24400000e-01, 2.31000000e-01, 2.97000000e-02, 5.64300000e-01,\n", - " 7.26000000e-02, 1.74900000e-01, 2.07900000e-01, 5.37900000e-01,\n", - " 4.19100000e-01, 3.63000000e-02, 6.23700000e-01, 1.88100000e-01,\n", - " 1.35300000e-01, 1.48500000e-01, 3.49800000e-01, 1.78200000e-01,\n", - " 3.86100000e-01, 1.98000000e-02, 1.81500000e-01, 1.12200000e-01,\n", - " 1.58400000e-01, 5.61000000e-02, 6.46470000e+00, 1.65000000e-01,\n", - " 1.45200000e-01, 6.60000000e+00, 2.37600000e-01, 4.29000000e-02,\n", - " 0.00000000e+00, 4.29000000e-02, 1.98000000e-02, 1.65000000e-01,\n", - " 2.27700000e-01, 4.62000000e-02, 1.74900000e-01, 2.17800000e+00,\n", - " 1.38930000e+00, 1.67970000e+00, 5.86080000e+00, 5.08860000e+00,\n", - " 1.38600000e-01, 7.92000000e-02, 1.33320000e+00, 8.58000000e-01,\n", - " 2.90070000e+00, 2.05920000e+00, 2.97000000e-02, 7.26000000e-01,\n", - " 2.07900000e-01, 2.94690000e+00, 1.65000000e-02, 2.31000000e-02,\n", - " 3.63000000e-02, 1.65000000e-02, 1.03950000e+00, 8.21700000e-01,\n", - " 8.25000000e-01, 2.59050000e+00, 1.35300000e-01, 3.30000000e-02,\n", - " 1.29030000e+00, 4.29000000e-02, 1.35300000e-01, 2.08230000e+00,\n", - " 1.41900000e-01, 1.32000000e-01, 1.25400000e-01, 1.45200000e-01,\n", - " 7.59000000e-02, 1.68630000e+00, 9.57000000e-01, 2.97000000e-01,\n", - " 4.52100000e-01, 1.58400000e-01, 2.97000000e-02, 8.44800000e-01,\n", - " 5.28000000e-01, 1.20450000e+00, 1.18800000e-01, 2.11200000e-01,\n", - " 7.59000000e-02, 1.22100000e-01, 2.47500000e-01, 9.47100000e-01,\n", - " 2.67300000e-01, 9.73500000e-01, 3.72900000e-01, 1.38600000e-01,\n", - " 2.90400000e-01, 4.98300000e-01, 8.31600000e-01, 2.27040000e+00,\n", - " 2.54100000e-01, 1.20450000e+00, 1.12200000e-01, 1.08900000e-01,\n", - " 2.97000000e-01, 6.03900000e-01, 2.31000000e-01, 6.86400000e-01,\n", - " 4.62000000e-02, 1.55100000e-01, 8.58000000e-01, 4.48800000e-01,\n", - " 5.61000000e-02, 1.02300000e-01, 3.59700000e-01, 2.07900000e-01,\n", - " 3.92700000e-01, 2.64000000e-01, 3.63000000e-02, 1.15500000e-01,\n", - " 2.64000000e-02, 3.30000000e-03, 1.33980000e+00, 1.79190000e+00,\n", - " 8.58000000e-02, 6.27000000e-02, 3.96330000e+00, 1.78860000e+00,\n", - " 3.39900000e-01, 1.33980000e+00, 2.07900000e-01, 6.99600000e-01,\n", - " 9.24000000e-02, 8.25000000e-02, 9.33900000e-01, 1.12200000e-01,\n", - " 4.29000000e-02, 6.50100000e-01, 3.66300000e-01, 1.71600000e-01,\n", - " 1.51140000e+00, 5.28000000e-02, 1.22100000e-01, 6.27000000e-02,\n", - " 8.91000000e-02, 3.30000000e-02, 2.06250000e+00, 1.07580000e+00,\n", - " 1.22100000e-01, 5.61000000e-02, 8.77800000e-01, 9.24000000e-02,\n", - " 4.38900000e-01, 3.30000000e-03, 4.05900000e-01, 5.21400000e-01,\n", - " 1.48500000e-01, 4.91700000e-01, 8.25000000e-02, 2.62350000e+00,\n", - " 1.12200000e-01, 1.08900000e-01, 1.02300000e-01, 3.77520000e+00,\n", - " 1.15500000e-01, 2.73900000e-01, 2.97000000e-02, 1.65000000e-02,\n", - " 9.14100000e-01, 3.26700000e-01, 2.64000000e-02, 0.00000000e+00,\n", - " 1.16160000e+00, 6.00600000e-01, 1.72920000e+00, 7.52400000e-01,\n", - " 1.98000000e-02, 1.32000000e-02, 9.90000000e-02, 4.48800000e-01,\n", - " 5.31300000e-01, 8.25000000e-02, 0.00000000e+00, 2.97000000e-02,\n", - " 3.10200000e-01, 5.94000000e-02, 1.05600000e-01, 1.74900000e-01,\n", - " 1.15830000e+00, 7.59000000e-01, 2.31000000e-02, 7.92000000e-02,\n", - " 4.29000000e-02, 3.30000000e-02, 3.30000000e-02, 9.90000000e-02,\n", - " 9.90000000e-02, 1.27050000e+00, 1.21110000e+00, 9.24000000e-02,\n", - " 1.28700000e-01, 4.95000000e-02, 3.63000000e-02, 1.08900000e-01,\n", - " 3.30000000e-02, 3.30000000e-02, 2.24400000e-01, 1.71600000e-01,\n", - " 2.34300000e-01, 2.93700000e-01, 2.50470000e+00, 5.14800000e-01,\n", - " 4.55400000e-01, 4.75200000e-01, 8.87700000e-01, 6.60000000e-02,\n", - " 4.29000000e-01, 1.22430000e+00, 8.58000000e-02, 3.48480000e+00,\n", - " 2.61030000e+00, 1.60050000e+00, 1.78200000e-01, 4.95000000e-02,\n", - " 2.92050000e+00, 7.39200000e-01, 1.23090000e+00, 2.70600000e-01,\n", - " 6.27000000e-02, 1.00980000e+00, 8.11800000e-01, 3.30000000e-02,\n", - " 1.32000000e-02, 9.90000000e-03, 2.97000000e-01, 1.32000000e-02,\n", - " 1.37610000e+00, 2.95020000e+00, 1.32000000e-01, 2.70600000e-01,\n", - " 6.07200000e-01, 1.65000000e-02, 7.59000000e-02, 8.91000000e-01,\n", - " 9.57000000e-02, 1.58400000e-01, 3.39900000e-01, 1.85130000e+00,\n", - " 1.01970000e+00, 2.11200000e-01, 3.33300000e-01, 4.42200000e-01,\n", - " 4.95000000e-02, 2.24400000e-01, 2.83800000e-01, 1.18800000e-01,\n", - " 1.65000000e-02, 1.78200000e-01, 8.58000000e-02, 8.25000000e-02,\n", - " 1.88100000e-01, 2.34300000e-01, 3.46500000e-01, 9.24000000e-02,\n", - " 9.90000000e-03, 1.25400000e-01, 1.59390000e+00, 8.91000000e-02,\n", - " 7.78800000e-01, 7.92000000e-02, 2.83800000e-01, 1.61700000e+00,\n", - " 2.53770000e+00, 5.67600000e-01, 1.08240000e+00, 1.25400000e-01,\n", - " 1.15500000e-01, 8.25000000e-02, 6.03900000e-01, 9.90000000e-02,\n", - " 1.05600000e-01, 5.94000000e-02, 1.65000000e-01, 1.58400000e-01,\n", - " 1.68300000e+00, 4.85100000e-01, 1.91400000e-01, 3.30000000e-03,\n", - " 1.61700000e-01, 6.10500000e-01, 7.02900000e-01, 6.60000000e-01,\n", - " 6.27000000e-02, 2.44200000e-01, 4.62000000e-01, 8.25000000e-02,\n", - " 2.07900000e-01, 1.25400000e-01, 5.61000000e-02, 9.24000000e-02,\n", - " 2.01300000e-01, 1.55100000e-01, 1.35300000e-01, 2.64000000e-02,\n", - " 9.93300000e-01, 1.26390000e+00, 4.95000000e-02, 5.28000000e-02,\n", - " 1.15500000e-01, 3.68940000e+00, 1.99650000e+00, 4.29000000e-02,\n", - " 1.40910000e+00, 7.32600000e-01, 3.30000000e-03, 1.41900000e-01,\n", - " 7.92000000e-02, 6.73200000e-01, 9.90000000e-01, 1.35960000e+00,\n", - " 9.24000000e-02, 2.64330000e+00, 4.52100000e-01, 1.91400000e+00,\n", - " 2.47500000e-01, 3.46500000e-01, 1.47510000e+00, 1.11540000e+00,\n", - " 4.58700000e-01, 5.24700000e-01, 0.00000000e+00, 3.30000000e-01,\n", - " 2.93700000e-01, 3.96000000e-02, 1.98000000e-02, 3.63000000e-02,\n", - " 5.61000000e-02, 1.05600000e-01, 2.17800000e-01, 1.48500000e-01,\n", - " 1.25400000e-01, 5.90700000e-01, 6.43500000e-01, 1.32000000e-02,\n", - " 1.28700000e-01, 1.78200000e-01, 7.92000000e-02, 1.22100000e-01,\n", - " 6.60000000e-02, 2.14500000e-01, 5.51100000e-01, 7.92000000e-02,\n", - " 6.27000000e-02, 3.61680000e+00, 1.41900000e-01, 1.22100000e-01,\n", - " 1.05600000e-01, 6.76500000e-01, 1.55100000e-01, 5.61000000e-02,\n", - " 4.75200000e-01, 1.25400000e-01, 8.74500000e-01, 2.31000000e-01,\n", - " 1.97670000e+00, 1.42890000e+00, 1.35300000e+00, 1.22100000e-01,\n", - " 1.32000000e-02, 1.55100000e-01, 3.63000000e-02, 8.91000000e-02,\n", - " 1.83480000e+00, 9.57000000e-02, 9.90000000e-03, 5.28000000e-02,\n", - " 1.22760000e+00, 3.10200000e-01, 7.26000000e-02, 2.50800000e-01,\n", - " 1.21440000e+00, 2.20440000e+00, 4.03920000e+00, 4.68600000e-01,\n", - " 2.12520000e+00, 2.85450000e+00, 2.47500000e-01, 1.28700000e-01,\n", - " 3.46500000e-01, 4.84440000e+00, 2.58720000e+00, 1.32000000e-02,\n", - " 1.48500000e-01, 2.17800000e-01, 9.24000000e-02, 4.22400000e-01,\n", - " 1.91400000e-01, 3.30000000e-01, 3.66300000e-01, 1.95030000e+00,\n", - " 4.58700000e-01, 2.64000000e-02, 5.54400000e-01, 8.74500000e-01,\n", - " 5.24700000e-01, 4.58700000e-01, 2.97000000e-02, 2.54100000e-01,\n", - " 1.55100000e-01, 5.61000000e-02, 2.97000000e-02, 2.43870000e+00,\n", - " 1.78200000e-01, 6.93000000e-02, 2.31000000e-01, 4.42200000e-01,\n", - " 2.61030000e+00, 1.45860000e+00, 2.27700000e-01, 3.16800000e-01,\n", - " 1.28040000e+00, 1.81500000e-01, 3.10200000e-01, 9.90000000e-01,\n", - " 8.38200000e-01, 1.22100000e-01, 1.52130000e+00, 1.38600000e-01,\n", - " 3.02940000e+00, 1.61700000e-01, 4.85100000e-01, 2.31000000e-02,\n", - " 1.65000000e-02, 4.29000000e-02, 2.50800000e-01, 1.68300000e-01,\n", - " 2.70600000e-01, 1.48500000e-01, 1.15500000e-01, 1.41900000e-01,\n", - " 4.98300000e-01, 1.71600000e-01, 6.93000000e-02, 6.60000000e-01,\n", - " 5.61000000e-02, 2.11860000e+00, 5.11500000e-01, 5.21400000e-01,\n", - " 1.22100000e-01, 1.91400000e-01, 7.26000000e-02, 2.35620000e+00,\n", - " 9.24000000e-02, 4.29000000e-02, 4.91700000e-01, 4.36920000e+00,\n", - " 6.60000000e-02, 1.05600000e-01, 1.32000000e-02, 2.01960000e+00,\n", - " 3.30000000e-02, 4.55400000e-01, 6.60000000e-02, 1.81830000e+00,\n", - " 7.39200000e-01, 2.97000000e-02, 6.60000000e-03, 1.22100000e+00,\n", - " 2.31000000e-02, 2.01300000e-01, 6.73200000e-01, 1.78200000e-01,\n", - " 8.15100000e-01, 2.73900000e-01, 5.80800000e-01, 9.24000000e-02,\n", - " 1.71600000e-01, 2.97000000e-02, 2.51130000e+00, 2.57400000e+00,\n", - " 5.57700000e-01, 1.36950000e+00, 2.81160000e+00, 1.08900000e-01,\n", - " 1.65000000e-02, 5.61000000e-02, 1.15500000e-01, 1.48500000e-01,\n", - " 4.95000000e-02, 1.98000000e-02, 1.08900000e-01, 2.64000000e-01,\n", - " 3.66300000e-01, 1.08900000e-01, 5.94000000e-02, 5.61000000e-02,\n", - " 7.59000000e-02, 9.90000000e-03, 2.44200000e-01, 1.25400000e-01,\n", - " 5.94000000e-02, 3.06900000e-01, 2.64000000e-02, 4.71900000e-01,\n", - " 8.05200000e-01, 2.93700000e-01, 7.65600000e-01, 1.38930000e+00,\n", - " 4.38900000e-01, 2.11200000e+00, 2.31000000e-01, 4.05900000e-01,\n", - " 7.92000000e-01, 3.20100000e-01, 1.51800000e-01, 1.91400000e-01,\n", - " 8.58000000e-02, 1.08900000e-01, 3.30000000e-03, 1.22100000e-01,\n", - " 5.61000000e-02, 2.97000000e-02, 1.35300000e-01, 6.17100000e-01,\n", - " 1.45200000e-01, 1.18800000e-01, 4.95000000e-02, 2.14500000e-01,\n", - " 1.41240000e+00, 5.97300000e-01, 1.61700000e-01, 3.92700000e-01,\n", - " 1.15500000e-01, 2.90400000e+00, 2.04600000e-01, 9.86700000e-01,\n", - " 1.98000000e-01, 2.50800000e-01, 1.02300000e-01, 2.90400000e-01,\n", - " 1.51800000e-01, 1.08900000e-01, 3.69600000e-01, 1.98000000e-02,\n", - " 5.94000000e-02, 1.55100000e-01, 1.15500000e-01, 1.51800000e-01,\n", - " 4.29000000e-02, 2.21100000e-01, 1.32000000e+00, 3.79500000e-01,\n", - " 5.97300000e-01, 3.59700000e-01, 2.07900000e-01, 4.55400000e-01,\n", - " 1.52130000e+00, 1.15830000e+00, 8.58000000e-02, 3.43200000e-01,\n", - " 1.74900000e-01, 2.27700000e-01, 5.14800000e-01, 9.80100000e-01,\n", - " 9.90000000e-03, 1.65000000e-02, 1.16490000e+00, 1.20120000e+00,\n", - " 1.84800000e-01, 2.31000000e-02, 1.28700000e-01, 8.58000000e-02,\n", - " 9.90000000e-03, 2.31000000e-02, 9.90000000e-02, 1.15500000e-01,\n", - " 1.31010000e+00, 6.33600000e-01, 6.93000000e-02, 1.94700000e-01,\n", - " 1.35960000e+00, 7.92000000e-02, 2.46840000e+00, 1.18800000e-01,\n", - " 1.77870000e+00, 1.61700000e-01, 7.02900000e-01, 1.32000000e-02,\n", - " 4.29000000e-02, 1.12200000e-01, 4.62000000e-02, 7.49100000e-01,\n", - " 4.55400000e-01, 3.59700000e-01, 5.28000000e-02, 1.41900000e-01,\n", - " 9.90000000e-03, 6.07200000e-01, 1.68300000e-01, 1.98000000e-02,\n", - " 2.77200000e-01, 9.66900000e-01, 3.43200000e-01, 3.30000000e-03,\n", - " 1.43220000e+00, 9.90000000e-02, 1.00980000e+00, 1.65000000e-02,\n", - " 9.90000000e-03, 1.28700000e-01, 6.00600000e-01, 9.24000000e-02,\n", - " 2.50800000e-01, 5.84100000e-01, 2.97000000e-02, 3.96000000e-02,\n", - " 2.08560000e+00, 1.32000000e-02, 1.32000000e-02, 1.05600000e-01,\n", - " 1.22100000e-01, 1.05600000e-01, 3.63000000e-02, 1.78200000e-01,\n", - " 1.51800000e-01, 2.11200000e-01, 1.58400000e-01, 4.55400000e-01,\n", - " 8.21700000e-01, 6.27000000e-02, 3.30000000e-02, 8.58000000e-02,\n", - " 1.41900000e-01, 1.45200000e-01, 4.75200000e-01, 5.61000000e-02,\n", - " 2.97000000e-02, 1.61700000e-01, 8.41500000e-01, 2.73900000e-01,\n", - " 1.55100000e-01, 5.84760000e+00, 6.60000000e-03, 7.26000000e-02,\n", - " 6.93000000e-02, 1.98000000e-02, 2.31000000e-02, 2.97000000e-02,\n", - " 2.64000000e-02, 1.91400000e-01, 4.62000000e-02, 6.13800000e-01,\n", - " 3.17460000e+00, 1.81500000e-01, 6.27000000e-02, 2.14500000e-01,\n", - " 1.14510000e+00, 8.91000000e-02, 5.61000000e-02, 2.47500000e-01,\n", - " 4.95000000e-02, 2.87100000e-01, 4.88400000e-01, 3.99300000e-01,\n", - " 3.63000000e-02, 1.84800000e-01, 1.28700000e-01, 9.57000000e-02,\n", - " 1.55100000e-01, 8.64600000e-01, 1.84800000e-01, 3.00300000e-01,\n", - " 4.88400000e-01, 5.94000000e-01, 4.62000000e-02, 1.32000000e-01,\n", - " 5.47800000e-01, 5.01600000e-01, 1.78860000e+00, 4.29000000e-02,\n", - " 6.56700000e-01, 7.92000000e-02, 1.94700000e-01, 2.73900000e-01,\n", - " 6.60000000e-02, 2.73900000e-01, 9.90000000e-02, 8.25000000e-02,\n", - " 2.31000000e-01, 2.60700000e-01, 5.94000000e-02, 2.64000000e-02,\n", - " 2.11200000e-01, 3.72900000e-01, 2.34300000e-01, 1.55100000e-01,\n", - " 8.91000000e-02, 9.90000000e-03, 3.76200000e-01, 1.05930000e+00,\n", - " 1.41900000e-01, 7.26000000e-02, 3.30000000e-03, 2.17800000e-01,\n", - " 1.55100000e-01, 4.95000000e-02, 5.94000000e-02, 2.60700000e-01,\n", - " 7.92000000e-02, 1.68960000e+00, 1.55100000e-01, 5.94000000e-02,\n", - " 0.00000000e+00, 3.36600000e-01, 7.92000000e-02, 1.05600000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.61868808e+03, -2.52731782e+03, 1.13644524e+02, -9.47058905e+01,\n", - " 1.56876810e+02, 1.51582182e+01, 1.74932206e+02, 7.39101716e+02,\n", - " -9.11534977e+01, -4.60952447e+01, 1.23748715e+02, 2.02922457e+03,\n", - " -2.52340453e+03, 4.17301335e+03, -4.35716849e+03]), array([ 2.21100000e-01, 1.03290000e+00, 2.01630000e+00, 1.42890000e+00,\n", - " 7.59000000e-02, 1.38600000e-01, 9.24000000e-02, 1.94700000e-01,\n", - " 3.20100000e-01, 4.95000000e-02, 1.94700000e-01, 1.55100000e-01,\n", - " 3.47160000e+00, 1.32000000e-02, 4.62000000e-02, 2.97000000e-02,\n", - " 1.73250000e+00, 1.24740000e+00, 1.88100000e-01, 2.93700000e-01,\n", - " 6.93000000e-02, 3.63000000e-02, 1.98000000e-02, 0.00000000e+00,\n", - " 6.60000000e-02, 2.17800000e-01, 1.65000000e-02, 1.27050000e+00,\n", - " 2.47500000e-01, 1.01970000e+00, 5.41200000e-01, 4.12500000e-01,\n", - " 4.55400000e-01, 1.98000000e-02, 0.00000000e+00, 2.31000000e-02,\n", - " 2.57400000e-01, 1.18800000e-01, 5.94000000e-02, 4.29000000e-02,\n", - " 1.48500000e-01, 1.38600000e-01, 3.72900000e-01, 7.85400000e-01,\n", - " 1.25400000e-01, 1.30350000e+00, 4.12500000e-01, 1.65990000e+00,\n", - " 2.07900000e-01, 5.80140000e+00, 3.63000000e-02, 4.62000000e-02,\n", - " 1.51800000e-01, 1.08900000e-01, 2.44200000e-01, 5.94000000e-02,\n", - " 2.17800000e-01, 1.73580000e+00, 3.01290000e+00, 8.08500000e-01,\n", - " 5.64300000e-01, 4.95000000e-01, 1.98000000e-01, 8.44800000e-01,\n", - " 1.02300000e-01, 8.25000000e-02, 8.05200000e-01, 6.86400000e-01,\n", - " 3.30000000e-02, 0.00000000e+00, 1.51800000e-01, 1.55100000e-01,\n", - " 1.32000000e-02, 3.63000000e-02, 2.77200000e-01, 5.67600000e-01,\n", - " 3.36600000e-01, 1.08900000e-01, 1.12200000e-01, 8.31600000e-01,\n", - " 1.93380000e+00, 1.71930000e+00, 3.76200000e-01, 6.07200000e-01,\n", - " 7.09500000e-01, 7.92000000e-01, 8.91000000e-02, 1.84800000e-01,\n", - " 3.30000000e-02, 3.96000000e-02, 5.94000000e-02, 0.00000000e+00,\n", - " 1.65000000e-02, 4.62000000e-02, 6.69900000e-01, 1.74900000e-01,\n", - " 1.98000000e-02, 0.00000000e+00, 4.95000000e-02, 5.37900000e-01,\n", - " 4.29000000e-01, 1.53120000e+00, 2.00640000e+00, 3.72900000e-01,\n", - " 5.94000000e-02, 2.97000000e-02, 1.55100000e-01, 2.97000000e-02,\n", - " 8.87700000e-01, 6.89700000e-01, 2.11200000e-01, 1.71600000e-01,\n", - " 1.79850000e+00, 3.63000000e-01, 0.00000000e+00, 8.67900000e-01,\n", - " 5.70900000e-01, 2.81820000e+00, 4.55400000e-01, 1.34970000e+00,\n", - " 2.80500000e-01, 3.82800000e-01, 1.04610000e+00, 1.75560000e+00,\n", - " 1.57080000e+00, 3.14490000e+00, 4.68600000e-01, 2.01300000e-01,\n", - " 1.33650000e+00, 1.65660000e+00, 5.64300000e-01, 3.10200000e-01,\n", - " 6.60000000e-02, 2.64000000e-01, 4.91700000e-01, 3.43200000e-01,\n", - " 2.90400000e-01, 8.58000000e-01, 2.44200000e-01, 8.25000000e-02,\n", - " 1.64010000e+00, 1.39590000e+00, 1.22430000e+00, 1.28040000e+00,\n", - " 1.94700000e-01, 2.21100000e-01, 4.29000000e-02, 1.15500000e-01,\n", - " 2.37600000e-01, 4.55400000e-01, 0.00000000e+00, 0.00000000e+00,\n", - " 3.27690000e+00, 4.76520000e+00, 1.03455000e+01, 2.70600000e-01,\n", - " 2.97000000e-01, 1.61700000e-01, 3.63000000e-02, 3.96000000e-02,\n", - " 9.90000000e-02, 8.58000000e-02, 5.31300000e-01, 4.85100000e-01,\n", - " 4.55400000e-01, 1.32000000e-01, 3.41880000e+00, 6.26010000e+00,\n", - " 9.57000000e-02, 8.25000000e-02, 2.21100000e-01, 8.91000000e-02,\n", - " 9.90000000e-02, 2.34300000e-01, 4.42200000e-01, 1.58400000e-01,\n", - " 2.24400000e-01, 2.31000000e-01, 2.97000000e-02, 5.64300000e-01,\n", - " 7.26000000e-02, 1.74900000e-01, 2.07900000e-01, 5.37900000e-01,\n", - " 4.19100000e-01, 3.63000000e-02, 6.23700000e-01, 1.88100000e-01,\n", - " 1.35300000e-01, 1.48500000e-01, 3.49800000e-01, 1.78200000e-01,\n", - " 3.86100000e-01, 1.98000000e-02, 1.81500000e-01, 1.12200000e-01,\n", - " 1.58400000e-01, 5.61000000e-02, 6.46470000e+00, 1.65000000e-01,\n", - " 1.45200000e-01, 6.60000000e+00, 2.37600000e-01, 4.29000000e-02,\n", - " 0.00000000e+00, 4.29000000e-02, 1.98000000e-02, 1.65000000e-01,\n", - " 2.27700000e-01, 4.62000000e-02, 1.74900000e-01, 2.17800000e+00,\n", - " 1.38930000e+00, 1.67970000e+00, 5.86080000e+00, 5.08860000e+00,\n", - " 1.38600000e-01, 7.92000000e-02, 1.33320000e+00, 8.58000000e-01,\n", - " 2.90070000e+00, 2.05920000e+00, 2.97000000e-02, 7.26000000e-01,\n", - " 2.07900000e-01, 2.94690000e+00, 1.65000000e-02, 2.31000000e-02,\n", - " 3.63000000e-02, 1.65000000e-02, 1.03950000e+00, 8.21700000e-01,\n", - " 8.25000000e-01, 2.59050000e+00, 1.35300000e-01, 3.30000000e-02,\n", - " 1.29030000e+00, 4.29000000e-02, 1.35300000e-01, 2.08230000e+00,\n", - " 1.41900000e-01, 1.32000000e-01, 1.25400000e-01, 1.45200000e-01,\n", - " 7.59000000e-02, 1.68630000e+00, 9.57000000e-01, 2.97000000e-01,\n", - " 4.52100000e-01, 1.58400000e-01, 2.97000000e-02, 8.44800000e-01,\n", - " 5.28000000e-01, 1.20450000e+00, 1.18800000e-01, 2.11200000e-01,\n", - " 7.59000000e-02, 1.22100000e-01, 2.47500000e-01, 9.47100000e-01,\n", - " 2.67300000e-01, 9.73500000e-01, 3.72900000e-01, 1.38600000e-01,\n", - " 2.90400000e-01, 4.98300000e-01, 8.31600000e-01, 2.27040000e+00,\n", - " 2.54100000e-01, 1.20450000e+00, 1.12200000e-01, 1.08900000e-01,\n", - " 2.97000000e-01, 6.03900000e-01, 2.31000000e-01, 6.86400000e-01,\n", - " 4.62000000e-02, 1.55100000e-01, 8.58000000e-01, 4.48800000e-01,\n", - " 5.61000000e-02, 1.02300000e-01, 3.59700000e-01, 2.07900000e-01,\n", - " 3.92700000e-01, 2.64000000e-01, 3.63000000e-02, 1.15500000e-01,\n", - " 2.64000000e-02, 3.30000000e-03, 1.33980000e+00, 1.79190000e+00,\n", - " 8.58000000e-02, 6.27000000e-02, 3.96330000e+00, 1.78860000e+00,\n", - " 3.39900000e-01, 1.33980000e+00, 2.07900000e-01, 6.99600000e-01,\n", - " 9.24000000e-02, 8.25000000e-02, 9.33900000e-01, 1.12200000e-01,\n", - " 4.29000000e-02, 6.50100000e-01, 3.66300000e-01, 1.71600000e-01,\n", - " 1.51140000e+00, 5.28000000e-02, 1.22100000e-01, 6.27000000e-02,\n", - " 8.91000000e-02, 3.30000000e-02, 2.06250000e+00, 1.07580000e+00,\n", - " 1.22100000e-01, 5.61000000e-02, 8.77800000e-01, 9.24000000e-02,\n", - " 4.38900000e-01, 3.30000000e-03, 4.05900000e-01, 5.21400000e-01,\n", - " 1.48500000e-01, 4.91700000e-01, 8.25000000e-02, 2.62350000e+00,\n", - " 1.12200000e-01, 1.08900000e-01, 1.02300000e-01, 3.77520000e+00,\n", - " 1.15500000e-01, 2.73900000e-01, 2.97000000e-02, 1.65000000e-02,\n", - " 9.14100000e-01, 3.26700000e-01, 2.64000000e-02, 0.00000000e+00,\n", - " 1.16160000e+00, 6.00600000e-01, 1.72920000e+00, 7.52400000e-01,\n", - " 1.98000000e-02, 1.32000000e-02, 9.90000000e-02, 4.48800000e-01,\n", - " 5.31300000e-01, 8.25000000e-02, 0.00000000e+00, 2.97000000e-02,\n", - " 3.10200000e-01, 5.94000000e-02, 1.05600000e-01, 1.74900000e-01,\n", - " 1.15830000e+00, 7.59000000e-01, 2.31000000e-02, 7.92000000e-02,\n", - " 4.29000000e-02, 3.30000000e-02, 3.30000000e-02, 9.90000000e-02,\n", - " 9.90000000e-02, 1.27050000e+00, 1.21110000e+00, 9.24000000e-02,\n", - " 1.28700000e-01, 4.95000000e-02, 3.63000000e-02, 1.08900000e-01,\n", - " 3.30000000e-02, 3.30000000e-02, 2.24400000e-01, 1.71600000e-01,\n", - " 2.34300000e-01, 2.93700000e-01, 2.50470000e+00, 5.14800000e-01,\n", - " 4.55400000e-01, 4.75200000e-01, 8.87700000e-01, 6.60000000e-02,\n", - " 4.29000000e-01, 1.22430000e+00, 8.58000000e-02, 3.48480000e+00,\n", - " 2.61030000e+00, 1.60050000e+00, 1.78200000e-01, 4.95000000e-02,\n", - " 2.92050000e+00, 7.39200000e-01, 1.23090000e+00, 2.70600000e-01,\n", - " 6.27000000e-02, 1.00980000e+00, 8.11800000e-01, 3.30000000e-02,\n", - " 1.32000000e-02, 9.90000000e-03, 2.97000000e-01, 1.32000000e-02,\n", - " 1.37610000e+00, 2.95020000e+00, 1.32000000e-01, 2.70600000e-01,\n", - " 6.07200000e-01, 1.65000000e-02, 7.59000000e-02, 8.91000000e-01,\n", - " 9.57000000e-02, 1.58400000e-01, 3.39900000e-01, 1.85130000e+00,\n", - " 1.01970000e+00, 2.11200000e-01, 3.33300000e-01, 4.42200000e-01,\n", - " 4.95000000e-02, 2.24400000e-01, 2.83800000e-01, 1.18800000e-01,\n", - " 1.65000000e-02, 1.78200000e-01, 8.58000000e-02, 8.25000000e-02,\n", - " 1.88100000e-01, 2.34300000e-01, 3.46500000e-01, 9.24000000e-02,\n", - " 9.90000000e-03, 1.25400000e-01, 1.59390000e+00, 8.91000000e-02,\n", - " 7.78800000e-01, 7.92000000e-02, 2.83800000e-01, 1.61700000e+00,\n", - " 2.53770000e+00, 5.67600000e-01, 1.08240000e+00, 1.25400000e-01,\n", - " 1.15500000e-01, 8.25000000e-02, 6.03900000e-01, 9.90000000e-02,\n", - " 1.05600000e-01, 5.94000000e-02, 1.65000000e-01, 1.58400000e-01,\n", - " 1.68300000e+00, 4.85100000e-01, 1.91400000e-01, 3.30000000e-03,\n", - " 1.61700000e-01, 6.10500000e-01, 7.02900000e-01, 6.60000000e-01,\n", - " 6.27000000e-02, 2.44200000e-01, 4.62000000e-01, 8.25000000e-02,\n", - " 2.07900000e-01, 1.25400000e-01, 5.61000000e-02, 9.24000000e-02,\n", - " 2.01300000e-01, 1.55100000e-01, 1.35300000e-01, 2.64000000e-02,\n", - " 9.93300000e-01, 1.26390000e+00, 4.95000000e-02, 5.28000000e-02,\n", - " 1.15500000e-01, 3.68940000e+00, 1.99650000e+00, 4.29000000e-02,\n", - " 1.40910000e+00, 7.32600000e-01, 3.30000000e-03, 1.41900000e-01,\n", - " 7.92000000e-02, 6.73200000e-01, 9.90000000e-01, 1.35960000e+00,\n", - " 9.24000000e-02, 2.64330000e+00, 4.52100000e-01, 1.91400000e+00,\n", - " 2.47500000e-01, 3.46500000e-01, 1.47510000e+00, 1.11540000e+00,\n", - " 4.58700000e-01, 5.24700000e-01, 0.00000000e+00, 3.30000000e-01,\n", - " 2.93700000e-01, 3.96000000e-02, 1.98000000e-02, 3.63000000e-02,\n", - " 5.61000000e-02, 1.05600000e-01, 2.17800000e-01, 1.48500000e-01,\n", - " 1.25400000e-01, 5.90700000e-01, 6.43500000e-01, 1.32000000e-02,\n", - " 1.28700000e-01, 1.78200000e-01, 7.92000000e-02, 1.22100000e-01,\n", - " 6.60000000e-02, 2.14500000e-01, 5.51100000e-01, 7.92000000e-02,\n", - " 6.27000000e-02, 3.61680000e+00, 1.41900000e-01, 1.22100000e-01,\n", - " 1.05600000e-01, 6.76500000e-01, 1.55100000e-01, 5.61000000e-02,\n", - " 4.75200000e-01, 1.25400000e-01, 8.74500000e-01, 2.31000000e-01,\n", - " 1.97670000e+00, 1.42890000e+00, 1.35300000e+00, 1.22100000e-01,\n", - " 1.32000000e-02, 1.55100000e-01, 3.63000000e-02, 8.91000000e-02,\n", - " 1.83480000e+00, 9.57000000e-02, 9.90000000e-03, 5.28000000e-02,\n", - " 1.22760000e+00, 3.10200000e-01, 7.26000000e-02, 2.50800000e-01,\n", - " 1.21440000e+00, 2.20440000e+00, 4.03920000e+00, 4.68600000e-01,\n", - " 2.12520000e+00, 2.85450000e+00, 2.47500000e-01, 1.28700000e-01,\n", - " 3.46500000e-01, 4.84440000e+00, 2.58720000e+00, 1.32000000e-02,\n", - " 1.48500000e-01, 2.17800000e-01, 9.24000000e-02, 4.22400000e-01,\n", - " 1.91400000e-01, 3.30000000e-01, 3.66300000e-01, 1.95030000e+00,\n", - " 4.58700000e-01, 2.64000000e-02, 5.54400000e-01, 8.74500000e-01,\n", - " 5.24700000e-01, 4.58700000e-01, 2.97000000e-02, 2.54100000e-01,\n", - " 1.55100000e-01, 5.61000000e-02, 2.97000000e-02, 2.43870000e+00,\n", - " 1.78200000e-01, 6.93000000e-02, 2.31000000e-01, 4.42200000e-01,\n", - " 2.61030000e+00, 1.45860000e+00, 2.27700000e-01, 3.16800000e-01,\n", - " 1.28040000e+00, 1.81500000e-01, 3.10200000e-01, 9.90000000e-01,\n", - " 8.38200000e-01, 1.22100000e-01, 1.52130000e+00, 1.38600000e-01,\n", - " 3.02940000e+00, 1.61700000e-01, 4.85100000e-01, 2.31000000e-02,\n", - " 1.65000000e-02, 4.29000000e-02, 2.50800000e-01, 1.68300000e-01,\n", - " 2.70600000e-01, 1.48500000e-01, 1.15500000e-01, 1.41900000e-01,\n", - " 4.98300000e-01, 1.71600000e-01, 6.93000000e-02, 6.60000000e-01,\n", - " 5.61000000e-02, 2.11860000e+00, 5.11500000e-01, 5.21400000e-01,\n", - " 1.22100000e-01, 1.91400000e-01, 7.26000000e-02, 2.35620000e+00,\n", - " 9.24000000e-02, 4.29000000e-02, 4.91700000e-01, 4.36920000e+00,\n", - " 6.60000000e-02, 1.05600000e-01, 1.32000000e-02, 2.01960000e+00,\n", - " 3.30000000e-02, 4.55400000e-01, 6.60000000e-02, 1.81830000e+00,\n", - " 7.39200000e-01, 2.97000000e-02, 6.60000000e-03, 1.22100000e+00,\n", - " 2.31000000e-02, 2.01300000e-01, 6.73200000e-01, 1.78200000e-01,\n", - " 8.15100000e-01, 2.73900000e-01, 5.80800000e-01, 9.24000000e-02,\n", - " 1.71600000e-01, 2.97000000e-02, 2.51130000e+00, 2.57400000e+00,\n", - " 5.57700000e-01, 1.36950000e+00, 2.81160000e+00, 1.08900000e-01,\n", - " 1.65000000e-02, 5.61000000e-02, 1.15500000e-01, 1.48500000e-01,\n", - " 4.95000000e-02, 1.98000000e-02, 1.08900000e-01, 2.64000000e-01,\n", - " 3.66300000e-01, 1.08900000e-01, 5.94000000e-02, 5.61000000e-02,\n", - " 7.59000000e-02, 9.90000000e-03, 2.44200000e-01, 1.25400000e-01,\n", - " 5.94000000e-02, 3.06900000e-01, 2.64000000e-02, 4.71900000e-01,\n", - " 8.05200000e-01, 2.93700000e-01, 7.65600000e-01, 1.38930000e+00,\n", - " 4.38900000e-01, 2.11200000e+00, 2.31000000e-01, 4.05900000e-01,\n", - " 7.92000000e-01, 3.20100000e-01, 1.51800000e-01, 1.91400000e-01,\n", - " 8.58000000e-02, 1.08900000e-01, 3.30000000e-03, 1.22100000e-01,\n", - " 5.61000000e-02, 2.97000000e-02, 1.35300000e-01, 6.17100000e-01,\n", - " 1.45200000e-01, 1.18800000e-01, 4.95000000e-02, 2.14500000e-01,\n", - " 1.41240000e+00, 5.97300000e-01, 1.61700000e-01, 3.92700000e-01,\n", - " 1.15500000e-01, 2.90400000e+00, 2.04600000e-01, 9.86700000e-01,\n", - " 1.98000000e-01, 2.50800000e-01, 1.02300000e-01, 2.90400000e-01,\n", - " 1.51800000e-01, 1.08900000e-01, 3.69600000e-01, 1.98000000e-02,\n", - " 5.94000000e-02, 1.55100000e-01, 1.15500000e-01, 1.51800000e-01,\n", - " 4.29000000e-02, 2.21100000e-01, 1.32000000e+00, 3.79500000e-01,\n", - " 5.97300000e-01, 3.59700000e-01, 2.07900000e-01, 4.55400000e-01,\n", - " 1.52130000e+00, 1.15830000e+00, 8.58000000e-02, 3.43200000e-01,\n", - " 1.74900000e-01, 2.27700000e-01, 5.14800000e-01, 9.80100000e-01,\n", - " 9.90000000e-03, 1.65000000e-02, 1.16490000e+00, 1.20120000e+00,\n", - " 1.84800000e-01, 2.31000000e-02, 1.28700000e-01, 8.58000000e-02,\n", - " 9.90000000e-03, 2.31000000e-02, 9.90000000e-02, 1.15500000e-01,\n", - " 1.31010000e+00, 6.33600000e-01, 6.93000000e-02, 1.94700000e-01,\n", - " 1.35960000e+00, 7.92000000e-02, 2.46840000e+00, 1.18800000e-01,\n", - " 1.77870000e+00, 1.61700000e-01, 7.02900000e-01, 1.32000000e-02,\n", - " 4.29000000e-02, 1.12200000e-01, 4.62000000e-02, 7.49100000e-01,\n", - " 4.55400000e-01, 3.59700000e-01, 5.28000000e-02, 1.41900000e-01,\n", - " 9.90000000e-03, 6.07200000e-01, 1.68300000e-01, 1.98000000e-02,\n", - " 2.77200000e-01, 9.66900000e-01, 3.43200000e-01, 3.30000000e-03,\n", - " 1.43220000e+00, 9.90000000e-02, 1.00980000e+00, 1.65000000e-02,\n", - " 9.90000000e-03, 1.28700000e-01, 6.00600000e-01, 9.24000000e-02,\n", - " 2.50800000e-01, 5.84100000e-01, 2.97000000e-02, 3.96000000e-02,\n", - " 2.08560000e+00, 1.32000000e-02, 1.32000000e-02, 1.05600000e-01,\n", - " 1.22100000e-01, 1.05600000e-01, 3.63000000e-02, 1.78200000e-01,\n", - " 1.51800000e-01, 2.11200000e-01, 1.58400000e-01, 4.55400000e-01,\n", - " 8.21700000e-01, 6.27000000e-02, 3.30000000e-02, 8.58000000e-02,\n", - " 1.41900000e-01, 1.45200000e-01, 4.75200000e-01, 5.61000000e-02,\n", - " 2.97000000e-02, 1.61700000e-01, 8.41500000e-01, 2.73900000e-01,\n", - " 1.55100000e-01, 5.84760000e+00, 6.60000000e-03, 7.26000000e-02,\n", - " 6.93000000e-02, 1.98000000e-02, 2.31000000e-02, 2.97000000e-02,\n", - " 2.64000000e-02, 1.91400000e-01, 4.62000000e-02, 6.13800000e-01,\n", - " 3.17460000e+00, 1.81500000e-01, 6.27000000e-02, 2.14500000e-01,\n", - " 1.14510000e+00, 8.91000000e-02, 5.61000000e-02, 2.47500000e-01,\n", - " 4.95000000e-02, 2.87100000e-01, 4.88400000e-01, 3.99300000e-01,\n", - " 3.63000000e-02, 1.84800000e-01, 1.28700000e-01, 9.57000000e-02,\n", - " 1.55100000e-01, 8.64600000e-01, 1.84800000e-01, 3.00300000e-01,\n", - " 4.88400000e-01, 5.94000000e-01, 4.62000000e-02, 1.32000000e-01,\n", - " 5.47800000e-01, 5.01600000e-01, 1.78860000e+00, 4.29000000e-02,\n", - " 6.56700000e-01, 7.92000000e-02, 1.94700000e-01, 2.73900000e-01,\n", - " 6.60000000e-02, 2.73900000e-01, 9.90000000e-02, 8.25000000e-02,\n", - " 2.31000000e-01, 2.60700000e-01, 5.94000000e-02, 2.64000000e-02,\n", - " 2.11200000e-01, 3.72900000e-01, 2.34300000e-01, 1.55100000e-01,\n", - " 8.91000000e-02, 9.90000000e-03, 3.76200000e-01, 1.05930000e+00,\n", - " 1.41900000e-01, 7.26000000e-02, 3.30000000e-03, 2.17800000e-01,\n", - " 1.55100000e-01, 4.95000000e-02, 5.94000000e-02, 2.60700000e-01,\n", - " 7.92000000e-02, 1.68960000e+00, 1.55100000e-01, 5.94000000e-02,\n", - " 0.00000000e+00, 3.36600000e-01, 7.92000000e-02, 1.05600000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.61140884e+03, -2.52731782e+03, 1.09499274e+02, -9.05503017e+01,\n", - " 1.49366869e+02, 3.48180347e-01, 1.73524657e+02, 7.08354279e+02,\n", - " -9.04934165e+01, -4.60952518e+01, 1.05001318e+02, 1.80761645e+03,\n", - " -2.40611887e+03, -3.07169460e+03, 3.07169460e+03]), array([ 1.67500000e-01, 7.82500000e-01, 1.52750000e+00, 1.08250000e+00,\n", - " 5.75000000e-02, 1.05000000e-01, 7.00000000e-02, 1.47500000e-01,\n", - " 2.42500000e-01, 3.75000000e-02, 1.47500000e-01, 1.17500000e-01,\n", - " 2.63000000e+00, 1.00000000e-02, 3.50000000e-02, 2.25000000e-02,\n", - " 1.31250000e+00, 9.45000000e-01, 1.42500000e-01, 2.22500000e-01,\n", - " 5.25000000e-02, 2.75000000e-02, 1.50000000e-02, 0.00000000e+00,\n", - " 5.00000000e-02, 1.65000000e-01, 1.25000000e-02, 9.62500000e-01,\n", - " 1.87500000e-01, 7.72500000e-01, 4.10000000e-01, 3.12500000e-01,\n", - " 3.45000000e-01, 1.50000000e-02, 0.00000000e+00, 1.75000000e-02,\n", - " 1.95000000e-01, 9.00000000e-02, 4.50000000e-02, 3.25000000e-02,\n", - " 1.12500000e-01, 1.05000000e-01, 2.82500000e-01, 5.95000000e-01,\n", - " 9.50000000e-02, 9.87500000e-01, 3.12500000e-01, 1.25750000e+00,\n", - " 1.57500000e-01, 4.39500000e+00, 2.75000000e-02, 3.50000000e-02,\n", - " 1.15000000e-01, 8.25000000e-02, 1.85000000e-01, 4.50000000e-02,\n", - " 1.65000000e-01, 1.31500000e+00, 2.28250000e+00, 6.12500000e-01,\n", - " 4.27500000e-01, 3.75000000e-01, 1.50000000e-01, 6.40000000e-01,\n", - " 7.75000000e-02, 6.25000000e-02, 6.10000000e-01, 5.20000000e-01,\n", - " 2.50000000e-02, 0.00000000e+00, 1.15000000e-01, 1.17500000e-01,\n", - " 1.00000000e-02, 2.75000000e-02, 2.10000000e-01, 4.30000000e-01,\n", - " 2.55000000e-01, 8.25000000e-02, 8.50000000e-02, 6.30000000e-01,\n", - " 1.46500000e+00, 1.30250000e+00, 2.85000000e-01, 4.60000000e-01,\n", - " 5.37500000e-01, 6.00000000e-01, 6.75000000e-02, 1.40000000e-01,\n", - " 2.50000000e-02, 3.00000000e-02, 4.50000000e-02, 0.00000000e+00,\n", - " 1.25000000e-02, 3.50000000e-02, 5.07500000e-01, 1.32500000e-01,\n", - " 1.50000000e-02, 0.00000000e+00, 3.75000000e-02, 4.07500000e-01,\n", - " 3.25000000e-01, 1.16000000e+00, 1.52000000e+00, 2.82500000e-01,\n", - " 4.50000000e-02, 2.25000000e-02, 1.17500000e-01, 2.25000000e-02,\n", - " 6.72500000e-01, 5.22500000e-01, 1.60000000e-01, 1.30000000e-01,\n", - " 1.36250000e+00, 2.75000000e-01, 0.00000000e+00, 6.57500000e-01,\n", - " 4.32500000e-01, 2.13500000e+00, 3.45000000e-01, 1.02250000e+00,\n", - " 2.12500000e-01, 2.90000000e-01, 7.92500000e-01, 1.33000000e+00,\n", - " 1.19000000e+00, 2.38250000e+00, 3.55000000e-01, 1.52500000e-01,\n", - " 1.01250000e+00, 1.25500000e+00, 4.27500000e-01, 2.35000000e-01,\n", - " 5.00000000e-02, 2.00000000e-01, 3.72500000e-01, 2.60000000e-01,\n", - " 2.20000000e-01, 6.50000000e-01, 1.85000000e-01, 6.25000000e-02,\n", - " 1.24250000e+00, 1.05750000e+00, 9.27500000e-01, 9.70000000e-01,\n", - " 1.47500000e-01, 1.67500000e-01, 3.25000000e-02, 8.75000000e-02,\n", - " 1.80000000e-01, 3.45000000e-01, 0.00000000e+00, 0.00000000e+00,\n", - " 2.48250000e+00, 3.61000000e+00, 7.83750000e+00, 2.05000000e-01,\n", - " 2.25000000e-01, 1.22500000e-01, 2.75000000e-02, 3.00000000e-02,\n", - " 7.50000000e-02, 6.50000000e-02, 4.02500000e-01, 3.67500000e-01,\n", - " 3.45000000e-01, 1.00000000e-01, 2.59000000e+00, 4.74250000e+00,\n", - " 7.25000000e-02, 6.25000000e-02, 1.67500000e-01, 6.75000000e-02,\n", - " 7.50000000e-02, 1.77500000e-01, 3.35000000e-01, 1.20000000e-01,\n", - " 1.70000000e-01, 1.75000000e-01, 2.25000000e-02, 4.27500000e-01,\n", - " 5.50000000e-02, 1.32500000e-01, 1.57500000e-01, 4.07500000e-01,\n", - " 3.17500000e-01, 2.75000000e-02, 4.72500000e-01, 1.42500000e-01,\n", - " 1.02500000e-01, 1.12500000e-01, 2.65000000e-01, 1.35000000e-01,\n", - " 2.92500000e-01, 1.50000000e-02, 1.37500000e-01, 8.50000000e-02,\n", - " 1.20000000e-01, 4.25000000e-02, 4.89750000e+00, 1.25000000e-01,\n", - " 1.10000000e-01, 5.00000000e+00, 1.80000000e-01, 3.25000000e-02,\n", - " 0.00000000e+00, 3.25000000e-02, 1.50000000e-02, 1.25000000e-01,\n", - " 1.72500000e-01, 3.50000000e-02, 1.32500000e-01, 1.65000000e+00,\n", - " 1.05250000e+00, 1.27250000e+00, 4.44000000e+00, 3.85500000e+00,\n", - " 1.05000000e-01, 6.00000000e-02, 1.01000000e+00, 6.50000000e-01,\n", - " 2.19750000e+00, 1.56000000e+00, 2.25000000e-02, 5.50000000e-01,\n", - " 1.57500000e-01, 2.23250000e+00, 1.25000000e-02, 1.75000000e-02,\n", - " 2.75000000e-02, 1.25000000e-02, 7.87500000e-01, 6.22500000e-01,\n", - " 6.25000000e-01, 1.96250000e+00, 1.02500000e-01, 2.50000000e-02,\n", - " 9.77500000e-01, 3.25000000e-02, 1.02500000e-01, 1.57750000e+00,\n", - " 1.07500000e-01, 1.00000000e-01, 9.50000000e-02, 1.10000000e-01,\n", - " 5.75000000e-02, 1.27750000e+00, 7.25000000e-01, 2.25000000e-01,\n", - " 3.42500000e-01, 1.20000000e-01, 2.25000000e-02, 6.40000000e-01,\n", - " 4.00000000e-01, 9.12500000e-01, 9.00000000e-02, 1.60000000e-01,\n", - " 5.75000000e-02, 9.25000000e-02, 1.87500000e-01, 7.17500000e-01,\n", - " 2.02500000e-01, 7.37500000e-01, 2.82500000e-01, 1.05000000e-01,\n", - " 2.20000000e-01, 3.77500000e-01, 6.30000000e-01, 1.72000000e+00,\n", - " 1.92500000e-01, 9.12500000e-01, 8.50000000e-02, 8.25000000e-02,\n", - " 2.25000000e-01, 4.57500000e-01, 1.75000000e-01, 5.20000000e-01,\n", - " 3.50000000e-02, 1.17500000e-01, 6.50000000e-01, 3.40000000e-01,\n", - " 4.25000000e-02, 7.75000000e-02, 2.72500000e-01, 1.57500000e-01,\n", - " 2.97500000e-01, 2.00000000e-01, 2.75000000e-02, 8.75000000e-02,\n", - " 2.00000000e-02, 2.50000000e-03, 1.01500000e+00, 1.35750000e+00,\n", - " 6.50000000e-02, 4.75000000e-02, 3.00250000e+00, 1.35500000e+00,\n", - " 2.57500000e-01, 1.01500000e+00, 1.57500000e-01, 5.30000000e-01,\n", - " 7.00000000e-02, 6.25000000e-02, 7.07500000e-01, 8.50000000e-02,\n", - " 3.25000000e-02, 4.92500000e-01, 2.77500000e-01, 1.30000000e-01,\n", - " 1.14500000e+00, 4.00000000e-02, 9.25000000e-02, 4.75000000e-02,\n", - " 6.75000000e-02, 2.50000000e-02, 1.56250000e+00, 8.15000000e-01,\n", - " 9.25000000e-02, 4.25000000e-02, 6.65000000e-01, 7.00000000e-02,\n", - " 3.32500000e-01, 2.50000000e-03, 3.07500000e-01, 3.95000000e-01,\n", - " 1.12500000e-01, 3.72500000e-01, 6.25000000e-02, 1.98750000e+00,\n", - " 8.50000000e-02, 8.25000000e-02, 7.75000000e-02, 2.86000000e+00,\n", - " 8.75000000e-02, 2.07500000e-01, 2.25000000e-02, 1.25000000e-02,\n", - " 6.92500000e-01, 2.47500000e-01, 2.00000000e-02, 0.00000000e+00,\n", - " 8.80000000e-01, 4.55000000e-01, 1.31000000e+00, 5.70000000e-01,\n", - " 1.50000000e-02, 1.00000000e-02, 7.50000000e-02, 3.40000000e-01,\n", - " 4.02500000e-01, 6.25000000e-02, 0.00000000e+00, 2.25000000e-02,\n", - " 2.35000000e-01, 4.50000000e-02, 8.00000000e-02, 1.32500000e-01,\n", - " 8.77500000e-01, 5.75000000e-01, 1.75000000e-02, 6.00000000e-02,\n", - " 3.25000000e-02, 2.50000000e-02, 2.50000000e-02, 7.50000000e-02,\n", - " 7.50000000e-02, 9.62500000e-01, 9.17500000e-01, 7.00000000e-02,\n", - " 9.75000000e-02, 3.75000000e-02, 2.75000000e-02, 8.25000000e-02,\n", - " 2.50000000e-02, 2.50000000e-02, 1.70000000e-01, 1.30000000e-01,\n", - " 1.77500000e-01, 2.22500000e-01, 1.89750000e+00, 3.90000000e-01,\n", - " 3.45000000e-01, 3.60000000e-01, 6.72500000e-01, 5.00000000e-02,\n", - " 3.25000000e-01, 9.27500000e-01, 6.50000000e-02, 2.64000000e+00,\n", - " 1.97750000e+00, 1.21250000e+00, 1.35000000e-01, 3.75000000e-02,\n", - " 2.21250000e+00, 5.60000000e-01, 9.32500000e-01, 2.05000000e-01,\n", - " 4.75000000e-02, 7.65000000e-01, 6.15000000e-01, 2.50000000e-02,\n", - " 1.00000000e-02, 7.50000000e-03, 2.25000000e-01, 1.00000000e-02,\n", - " 1.04250000e+00, 2.23500000e+00, 1.00000000e-01, 2.05000000e-01,\n", - " 4.60000000e-01, 1.25000000e-02, 5.75000000e-02, 6.75000000e-01,\n", - " 7.25000000e-02, 1.20000000e-01, 2.57500000e-01, 1.40250000e+00,\n", - " 7.72500000e-01, 1.60000000e-01, 2.52500000e-01, 3.35000000e-01,\n", - " 3.75000000e-02, 1.70000000e-01, 2.15000000e-01, 9.00000000e-02,\n", - " 1.25000000e-02, 1.35000000e-01, 6.50000000e-02, 6.25000000e-02,\n", - " 1.42500000e-01, 1.77500000e-01, 2.62500000e-01, 7.00000000e-02,\n", - " 7.50000000e-03, 9.50000000e-02, 1.20750000e+00, 6.75000000e-02,\n", - " 5.90000000e-01, 6.00000000e-02, 2.15000000e-01, 1.22500000e+00,\n", - " 1.92250000e+00, 4.30000000e-01, 8.20000000e-01, 9.50000000e-02,\n", - " 8.75000000e-02, 6.25000000e-02, 4.57500000e-01, 7.50000000e-02,\n", - " 8.00000000e-02, 4.50000000e-02, 1.25000000e-01, 1.20000000e-01,\n", - " 1.27500000e+00, 3.67500000e-01, 1.45000000e-01, 2.50000000e-03,\n", - " 1.22500000e-01, 4.62500000e-01, 5.32500000e-01, 5.00000000e-01,\n", - " 4.75000000e-02, 1.85000000e-01, 3.50000000e-01, 6.25000000e-02,\n", - " 1.57500000e-01, 9.50000000e-02, 4.25000000e-02, 7.00000000e-02,\n", - " 1.52500000e-01, 1.17500000e-01, 1.02500000e-01, 2.00000000e-02,\n", - " 7.52500000e-01, 9.57500000e-01, 3.75000000e-02, 4.00000000e-02,\n", - " 8.75000000e-02, 2.79500000e+00, 1.51250000e+00, 3.25000000e-02,\n", - " 1.06750000e+00, 5.55000000e-01, 2.50000000e-03, 1.07500000e-01,\n", - " 6.00000000e-02, 5.10000000e-01, 7.50000000e-01, 1.03000000e+00,\n", - " 7.00000000e-02, 2.00250000e+00, 3.42500000e-01, 1.45000000e+00,\n", - " 1.87500000e-01, 2.62500000e-01, 1.11750000e+00, 8.45000000e-01,\n", - " 3.47500000e-01, 3.97500000e-01, 0.00000000e+00, 2.50000000e-01,\n", - " 2.22500000e-01, 3.00000000e-02, 1.50000000e-02, 2.75000000e-02,\n", - " 4.25000000e-02, 8.00000000e-02, 1.65000000e-01, 1.12500000e-01,\n", - " 9.50000000e-02, 4.47500000e-01, 4.87500000e-01, 1.00000000e-02,\n", - " 9.75000000e-02, 1.35000000e-01, 6.00000000e-02, 9.25000000e-02,\n", - " 5.00000000e-02, 1.62500000e-01, 4.17500000e-01, 6.00000000e-02,\n", - " 4.75000000e-02, 2.74000000e+00, 1.07500000e-01, 9.25000000e-02,\n", - " 8.00000000e-02, 5.12500000e-01, 1.17500000e-01, 4.25000000e-02,\n", - " 3.60000000e-01, 9.50000000e-02, 6.62500000e-01, 1.75000000e-01,\n", - " 1.49750000e+00, 1.08250000e+00, 1.02500000e+00, 9.25000000e-02,\n", - " 1.00000000e-02, 1.17500000e-01, 2.75000000e-02, 6.75000000e-02,\n", - " 1.39000000e+00, 7.25000000e-02, 7.50000000e-03, 4.00000000e-02,\n", - " 9.30000000e-01, 2.35000000e-01, 5.50000000e-02, 1.90000000e-01,\n", - " 9.20000000e-01, 1.67000000e+00, 3.06000000e+00, 3.55000000e-01,\n", - " 1.61000000e+00, 2.16250000e+00, 1.87500000e-01, 9.75000000e-02,\n", - " 2.62500000e-01, 3.67000000e+00, 1.96000000e+00, 1.00000000e-02,\n", - " 1.12500000e-01, 1.65000000e-01, 7.00000000e-02, 3.20000000e-01,\n", - " 1.45000000e-01, 2.50000000e-01, 2.77500000e-01, 1.47750000e+00,\n", - " 3.47500000e-01, 2.00000000e-02, 4.20000000e-01, 6.62500000e-01,\n", - " 3.97500000e-01, 3.47500000e-01, 2.25000000e-02, 1.92500000e-01,\n", - " 1.17500000e-01, 4.25000000e-02, 2.25000000e-02, 1.84750000e+00,\n", - " 1.35000000e-01, 5.25000000e-02, 1.75000000e-01, 3.35000000e-01,\n", - " 1.97750000e+00, 1.10500000e+00, 1.72500000e-01, 2.40000000e-01,\n", - " 9.70000000e-01, 1.37500000e-01, 2.35000000e-01, 7.50000000e-01,\n", - " 6.35000000e-01, 9.25000000e-02, 1.15250000e+00, 1.05000000e-01,\n", - " 2.29500000e+00, 1.22500000e-01, 3.67500000e-01, 1.75000000e-02,\n", - " 1.25000000e-02, 3.25000000e-02, 1.90000000e-01, 1.27500000e-01,\n", - " 2.05000000e-01, 1.12500000e-01, 8.75000000e-02, 1.07500000e-01,\n", - " 3.77500000e-01, 1.30000000e-01, 5.25000000e-02, 5.00000000e-01,\n", - " 4.25000000e-02, 1.60500000e+00, 3.87500000e-01, 3.95000000e-01,\n", - " 9.25000000e-02, 1.45000000e-01, 5.50000000e-02, 1.78500000e+00,\n", - " 7.00000000e-02, 3.25000000e-02, 3.72500000e-01, 3.31000000e+00,\n", - " 5.00000000e-02, 8.00000000e-02, 1.00000000e-02, 1.53000000e+00,\n", - " 2.50000000e-02, 3.45000000e-01, 5.00000000e-02, 1.37750000e+00,\n", - " 5.60000000e-01, 2.25000000e-02, 5.00000000e-03, 9.25000000e-01,\n", - " 1.75000000e-02, 1.52500000e-01, 5.10000000e-01, 1.35000000e-01,\n", - " 6.17500000e-01, 2.07500000e-01, 4.40000000e-01, 7.00000000e-02,\n", - " 1.30000000e-01, 2.25000000e-02, 1.90250000e+00, 1.95000000e+00,\n", - " 4.22500000e-01, 1.03750000e+00, 2.13000000e+00, 8.25000000e-02,\n", - " 1.25000000e-02, 4.25000000e-02, 8.75000000e-02, 1.12500000e-01,\n", - " 3.75000000e-02, 1.50000000e-02, 8.25000000e-02, 2.00000000e-01,\n", - " 2.77500000e-01, 8.25000000e-02, 4.50000000e-02, 4.25000000e-02,\n", - " 5.75000000e-02, 7.50000000e-03, 1.85000000e-01, 9.50000000e-02,\n", - " 4.50000000e-02, 2.32500000e-01, 2.00000000e-02, 3.57500000e-01,\n", - " 6.10000000e-01, 2.22500000e-01, 5.80000000e-01, 1.05250000e+00,\n", - " 3.32500000e-01, 1.60000000e+00, 1.75000000e-01, 3.07500000e-01,\n", - " 6.00000000e-01, 2.42500000e-01, 1.15000000e-01, 1.45000000e-01,\n", - " 6.50000000e-02, 8.25000000e-02, 2.50000000e-03, 9.25000000e-02,\n", - " 4.25000000e-02, 2.25000000e-02, 1.02500000e-01, 4.67500000e-01,\n", - " 1.10000000e-01, 9.00000000e-02, 3.75000000e-02, 1.62500000e-01,\n", - " 1.07000000e+00, 4.52500000e-01, 1.22500000e-01, 2.97500000e-01,\n", - " 8.75000000e-02, 2.20000000e+00, 1.55000000e-01, 7.47500000e-01,\n", - " 1.50000000e-01, 1.90000000e-01, 7.75000000e-02, 2.20000000e-01,\n", - " 1.15000000e-01, 8.25000000e-02, 2.80000000e-01, 1.50000000e-02,\n", - " 4.50000000e-02, 1.17500000e-01, 8.75000000e-02, 1.15000000e-01,\n", - " 3.25000000e-02, 1.67500000e-01, 1.00000000e+00, 2.87500000e-01,\n", - " 4.52500000e-01, 2.72500000e-01, 1.57500000e-01, 3.45000000e-01,\n", - " 1.15250000e+00, 8.77500000e-01, 6.50000000e-02, 2.60000000e-01,\n", - " 1.32500000e-01, 1.72500000e-01, 3.90000000e-01, 7.42500000e-01,\n", - " 7.50000000e-03, 1.25000000e-02, 8.82500000e-01, 9.10000000e-01,\n", - " 1.40000000e-01, 1.75000000e-02, 9.75000000e-02, 6.50000000e-02,\n", - " 7.50000000e-03, 1.75000000e-02, 7.50000000e-02, 8.75000000e-02,\n", - " 9.92500000e-01, 4.80000000e-01, 5.25000000e-02, 1.47500000e-01,\n", - " 1.03000000e+00, 6.00000000e-02, 1.87000000e+00, 9.00000000e-02,\n", - " 1.34750000e+00, 1.22500000e-01, 5.32500000e-01, 1.00000000e-02,\n", - " 3.25000000e-02, 8.50000000e-02, 3.50000000e-02, 5.67500000e-01,\n", - " 3.45000000e-01, 2.72500000e-01, 4.00000000e-02, 1.07500000e-01,\n", - " 7.50000000e-03, 4.60000000e-01, 1.27500000e-01, 1.50000000e-02,\n", - " 2.10000000e-01, 7.32500000e-01, 2.60000000e-01, 2.50000000e-03,\n", - " 1.08500000e+00, 7.50000000e-02, 7.65000000e-01, 1.25000000e-02,\n", - " 7.50000000e-03, 9.75000000e-02, 4.55000000e-01, 7.00000000e-02,\n", - " 1.90000000e-01, 4.42500000e-01, 2.25000000e-02, 3.00000000e-02,\n", - " 1.58000000e+00, 1.00000000e-02, 1.00000000e-02, 8.00000000e-02,\n", - " 9.25000000e-02, 8.00000000e-02, 2.75000000e-02, 1.35000000e-01,\n", - " 1.15000000e-01, 1.60000000e-01, 1.20000000e-01, 3.45000000e-01,\n", - " 6.22500000e-01, 4.75000000e-02, 2.50000000e-02, 6.50000000e-02,\n", - " 1.07500000e-01, 1.10000000e-01, 3.60000000e-01, 4.25000000e-02,\n", - " 2.25000000e-02, 1.22500000e-01, 6.37500000e-01, 2.07500000e-01,\n", - " 1.17500000e-01, 4.43000000e+00, 5.00000000e-03, 5.50000000e-02,\n", - " 5.25000000e-02, 1.50000000e-02, 1.75000000e-02, 2.25000000e-02,\n", - " 2.00000000e-02, 1.45000000e-01, 3.50000000e-02, 4.65000000e-01,\n", - " 2.40500000e+00, 1.37500000e-01, 4.75000000e-02, 1.62500000e-01,\n", - " 8.67500000e-01, 6.75000000e-02, 4.25000000e-02, 1.87500000e-01,\n", - " 3.75000000e-02, 2.17500000e-01, 3.70000000e-01, 3.02500000e-01,\n", - " 2.75000000e-02, 1.40000000e-01, 9.75000000e-02, 7.25000000e-02,\n", - " 1.17500000e-01, 6.55000000e-01, 1.40000000e-01, 2.27500000e-01,\n", - " 3.70000000e-01, 4.50000000e-01, 3.50000000e-02, 1.00000000e-01,\n", - " 4.15000000e-01, 3.80000000e-01, 1.35500000e+00, 3.25000000e-02,\n", - " 4.97500000e-01, 6.00000000e-02, 1.47500000e-01, 2.07500000e-01,\n", - " 5.00000000e-02, 2.07500000e-01, 7.50000000e-02, 6.25000000e-02,\n", - " 1.75000000e-01, 1.97500000e-01, 4.50000000e-02, 2.00000000e-02,\n", - " 1.60000000e-01, 2.82500000e-01, 1.77500000e-01, 1.17500000e-01,\n", - " 6.75000000e-02, 7.50000000e-03, 2.85000000e-01, 8.02500000e-01,\n", - " 1.07500000e-01, 5.50000000e-02, 2.50000000e-03, 1.65000000e-01,\n", - " 1.17500000e-01, 3.75000000e-02, 4.50000000e-02, 1.97500000e-01,\n", - " 6.00000000e-02, 1.28000000e+00, 1.17500000e-01, 4.50000000e-02,\n", - " 0.00000000e+00, 2.55000000e-01, 6.00000000e-02, 8.00000000e-02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.60906699e+03, -2.52731782e+03, 1.15667702e+02, -8.10567652e+01,\n", - " 1.49810812e+02, 2.11681581e+01, 1.90200030e+02, 7.00075748e+02,\n", - " -8.67958103e+01, -3.49208558e+01, 1.11613598e+02, 1.66862384e+03,\n", - " -2.03979639e+03, 2.51403820e+03, -2.68572276e+03]), array([ 1.67500000e-01, 7.82500000e-01, 1.52750000e+00, 1.08250000e+00,\n", - " 5.75000000e-02, 1.05000000e-01, 7.00000000e-02, 1.47500000e-01,\n", - " 2.42500000e-01, 3.75000000e-02, 1.47500000e-01, 1.17500000e-01,\n", - " 2.63000000e+00, 1.00000000e-02, 3.50000000e-02, 2.25000000e-02,\n", - " 1.31250000e+00, 9.45000000e-01, 1.42500000e-01, 2.22500000e-01,\n", - " 5.25000000e-02, 2.75000000e-02, 1.50000000e-02, 0.00000000e+00,\n", - " 5.00000000e-02, 1.65000000e-01, 1.25000000e-02, 9.62500000e-01,\n", - " 1.87500000e-01, 7.72500000e-01, 4.10000000e-01, 3.12500000e-01,\n", - " 3.45000000e-01, 1.50000000e-02, 0.00000000e+00, 1.75000000e-02,\n", - " 1.95000000e-01, 9.00000000e-02, 4.50000000e-02, 3.25000000e-02,\n", - " 1.12500000e-01, 1.05000000e-01, 2.82500000e-01, 5.95000000e-01,\n", - " 9.50000000e-02, 9.87500000e-01, 3.12500000e-01, 1.25750000e+00,\n", - " 1.57500000e-01, 4.39500000e+00, 2.75000000e-02, 3.50000000e-02,\n", - " 1.15000000e-01, 8.25000000e-02, 1.85000000e-01, 4.50000000e-02,\n", - " 1.65000000e-01, 1.31500000e+00, 2.28250000e+00, 6.12500000e-01,\n", - " 4.27500000e-01, 3.75000000e-01, 1.50000000e-01, 6.40000000e-01,\n", - " 7.75000000e-02, 6.25000000e-02, 6.10000000e-01, 5.20000000e-01,\n", - " 2.50000000e-02, 0.00000000e+00, 1.15000000e-01, 1.17500000e-01,\n", - " 1.00000000e-02, 2.75000000e-02, 2.10000000e-01, 4.30000000e-01,\n", - " 2.55000000e-01, 8.25000000e-02, 8.50000000e-02, 6.30000000e-01,\n", - " 1.46500000e+00, 1.30250000e+00, 2.85000000e-01, 4.60000000e-01,\n", - " 5.37500000e-01, 6.00000000e-01, 6.75000000e-02, 1.40000000e-01,\n", - " 2.50000000e-02, 3.00000000e-02, 4.50000000e-02, 0.00000000e+00,\n", - " 1.25000000e-02, 3.50000000e-02, 5.07500000e-01, 1.32500000e-01,\n", - " 1.50000000e-02, 0.00000000e+00, 3.75000000e-02, 4.07500000e-01,\n", - " 3.25000000e-01, 1.16000000e+00, 1.52000000e+00, 2.82500000e-01,\n", - " 4.50000000e-02, 2.25000000e-02, 1.17500000e-01, 2.25000000e-02,\n", - " 6.72500000e-01, 5.22500000e-01, 1.60000000e-01, 1.30000000e-01,\n", - " 1.36250000e+00, 2.75000000e-01, 0.00000000e+00, 6.57500000e-01,\n", - " 4.32500000e-01, 2.13500000e+00, 3.45000000e-01, 1.02250000e+00,\n", - " 2.12500000e-01, 2.90000000e-01, 7.92500000e-01, 1.33000000e+00,\n", - " 1.19000000e+00, 2.38250000e+00, 3.55000000e-01, 1.52500000e-01,\n", - " 1.01250000e+00, 1.25500000e+00, 4.27500000e-01, 2.35000000e-01,\n", - " 5.00000000e-02, 2.00000000e-01, 3.72500000e-01, 2.60000000e-01,\n", - " 2.20000000e-01, 6.50000000e-01, 1.85000000e-01, 6.25000000e-02,\n", - " 1.24250000e+00, 1.05750000e+00, 9.27500000e-01, 9.70000000e-01,\n", - " 1.47500000e-01, 1.67500000e-01, 3.25000000e-02, 8.75000000e-02,\n", - " 1.80000000e-01, 3.45000000e-01, 0.00000000e+00, 0.00000000e+00,\n", - " 2.48250000e+00, 3.61000000e+00, 7.83750000e+00, 2.05000000e-01,\n", - " 2.25000000e-01, 1.22500000e-01, 2.75000000e-02, 3.00000000e-02,\n", - " 7.50000000e-02, 6.50000000e-02, 4.02500000e-01, 3.67500000e-01,\n", - " 3.45000000e-01, 1.00000000e-01, 2.59000000e+00, 4.74250000e+00,\n", - " 7.25000000e-02, 6.25000000e-02, 1.67500000e-01, 6.75000000e-02,\n", - " 7.50000000e-02, 1.77500000e-01, 3.35000000e-01, 1.20000000e-01,\n", - " 1.70000000e-01, 1.75000000e-01, 2.25000000e-02, 4.27500000e-01,\n", - " 5.50000000e-02, 1.32500000e-01, 1.57500000e-01, 4.07500000e-01,\n", - " 3.17500000e-01, 2.75000000e-02, 4.72500000e-01, 1.42500000e-01,\n", - " 1.02500000e-01, 1.12500000e-01, 2.65000000e-01, 1.35000000e-01,\n", - " 2.92500000e-01, 1.50000000e-02, 1.37500000e-01, 8.50000000e-02,\n", - " 1.20000000e-01, 4.25000000e-02, 4.89750000e+00, 1.25000000e-01,\n", - " 1.10000000e-01, 5.00000000e+00, 1.80000000e-01, 3.25000000e-02,\n", - " 0.00000000e+00, 3.25000000e-02, 1.50000000e-02, 1.25000000e-01,\n", - " 1.72500000e-01, 3.50000000e-02, 1.32500000e-01, 1.65000000e+00,\n", - " 1.05250000e+00, 1.27250000e+00, 4.44000000e+00, 3.85500000e+00,\n", - " 1.05000000e-01, 6.00000000e-02, 1.01000000e+00, 6.50000000e-01,\n", - " 2.19750000e+00, 1.56000000e+00, 2.25000000e-02, 5.50000000e-01,\n", - " 1.57500000e-01, 2.23250000e+00, 1.25000000e-02, 1.75000000e-02,\n", - " 2.75000000e-02, 1.25000000e-02, 7.87500000e-01, 6.22500000e-01,\n", - " 6.25000000e-01, 1.96250000e+00, 1.02500000e-01, 2.50000000e-02,\n", - " 9.77500000e-01, 3.25000000e-02, 1.02500000e-01, 1.57750000e+00,\n", - " 1.07500000e-01, 1.00000000e-01, 9.50000000e-02, 1.10000000e-01,\n", - " 5.75000000e-02, 1.27750000e+00, 7.25000000e-01, 2.25000000e-01,\n", - " 3.42500000e-01, 1.20000000e-01, 2.25000000e-02, 6.40000000e-01,\n", - " 4.00000000e-01, 9.12500000e-01, 9.00000000e-02, 1.60000000e-01,\n", - " 5.75000000e-02, 9.25000000e-02, 1.87500000e-01, 7.17500000e-01,\n", - " 2.02500000e-01, 7.37500000e-01, 2.82500000e-01, 1.05000000e-01,\n", - " 2.20000000e-01, 3.77500000e-01, 6.30000000e-01, 1.72000000e+00,\n", - " 1.92500000e-01, 9.12500000e-01, 8.50000000e-02, 8.25000000e-02,\n", - " 2.25000000e-01, 4.57500000e-01, 1.75000000e-01, 5.20000000e-01,\n", - " 3.50000000e-02, 1.17500000e-01, 6.50000000e-01, 3.40000000e-01,\n", - " 4.25000000e-02, 7.75000000e-02, 2.72500000e-01, 1.57500000e-01,\n", - " 2.97500000e-01, 2.00000000e-01, 2.75000000e-02, 8.75000000e-02,\n", - " 2.00000000e-02, 2.50000000e-03, 1.01500000e+00, 1.35750000e+00,\n", - " 6.50000000e-02, 4.75000000e-02, 3.00250000e+00, 1.35500000e+00,\n", - " 2.57500000e-01, 1.01500000e+00, 1.57500000e-01, 5.30000000e-01,\n", - " 7.00000000e-02, 6.25000000e-02, 7.07500000e-01, 8.50000000e-02,\n", - " 3.25000000e-02, 4.92500000e-01, 2.77500000e-01, 1.30000000e-01,\n", - " 1.14500000e+00, 4.00000000e-02, 9.25000000e-02, 4.75000000e-02,\n", - " 6.75000000e-02, 2.50000000e-02, 1.56250000e+00, 8.15000000e-01,\n", - " 9.25000000e-02, 4.25000000e-02, 6.65000000e-01, 7.00000000e-02,\n", - " 3.32500000e-01, 2.50000000e-03, 3.07500000e-01, 3.95000000e-01,\n", - " 1.12500000e-01, 3.72500000e-01, 6.25000000e-02, 1.98750000e+00,\n", - " 8.50000000e-02, 8.25000000e-02, 7.75000000e-02, 2.86000000e+00,\n", - " 8.75000000e-02, 2.07500000e-01, 2.25000000e-02, 1.25000000e-02,\n", - " 6.92500000e-01, 2.47500000e-01, 2.00000000e-02, 0.00000000e+00,\n", - " 8.80000000e-01, 4.55000000e-01, 1.31000000e+00, 5.70000000e-01,\n", - " 1.50000000e-02, 1.00000000e-02, 7.50000000e-02, 3.40000000e-01,\n", - " 4.02500000e-01, 6.25000000e-02, 0.00000000e+00, 2.25000000e-02,\n", - " 2.35000000e-01, 4.50000000e-02, 8.00000000e-02, 1.32500000e-01,\n", - " 8.77500000e-01, 5.75000000e-01, 1.75000000e-02, 6.00000000e-02,\n", - " 3.25000000e-02, 2.50000000e-02, 2.50000000e-02, 7.50000000e-02,\n", - " 7.50000000e-02, 9.62500000e-01, 9.17500000e-01, 7.00000000e-02,\n", - " 9.75000000e-02, 3.75000000e-02, 2.75000000e-02, 8.25000000e-02,\n", - " 2.50000000e-02, 2.50000000e-02, 1.70000000e-01, 1.30000000e-01,\n", - " 1.77500000e-01, 2.22500000e-01, 1.89750000e+00, 3.90000000e-01,\n", - " 3.45000000e-01, 3.60000000e-01, 6.72500000e-01, 5.00000000e-02,\n", - " 3.25000000e-01, 9.27500000e-01, 6.50000000e-02, 2.64000000e+00,\n", - " 1.97750000e+00, 1.21250000e+00, 1.35000000e-01, 3.75000000e-02,\n", - " 2.21250000e+00, 5.60000000e-01, 9.32500000e-01, 2.05000000e-01,\n", - " 4.75000000e-02, 7.65000000e-01, 6.15000000e-01, 2.50000000e-02,\n", - " 1.00000000e-02, 7.50000000e-03, 2.25000000e-01, 1.00000000e-02,\n", - " 1.04250000e+00, 2.23500000e+00, 1.00000000e-01, 2.05000000e-01,\n", - " 4.60000000e-01, 1.25000000e-02, 5.75000000e-02, 6.75000000e-01,\n", - " 7.25000000e-02, 1.20000000e-01, 2.57500000e-01, 1.40250000e+00,\n", - " 7.72500000e-01, 1.60000000e-01, 2.52500000e-01, 3.35000000e-01,\n", - " 3.75000000e-02, 1.70000000e-01, 2.15000000e-01, 9.00000000e-02,\n", - " 1.25000000e-02, 1.35000000e-01, 6.50000000e-02, 6.25000000e-02,\n", - " 1.42500000e-01, 1.77500000e-01, 2.62500000e-01, 7.00000000e-02,\n", - " 7.50000000e-03, 9.50000000e-02, 1.20750000e+00, 6.75000000e-02,\n", - " 5.90000000e-01, 6.00000000e-02, 2.15000000e-01, 1.22500000e+00,\n", - " 1.92250000e+00, 4.30000000e-01, 8.20000000e-01, 9.50000000e-02,\n", - " 8.75000000e-02, 6.25000000e-02, 4.57500000e-01, 7.50000000e-02,\n", - " 8.00000000e-02, 4.50000000e-02, 1.25000000e-01, 1.20000000e-01,\n", - " 1.27500000e+00, 3.67500000e-01, 1.45000000e-01, 2.50000000e-03,\n", - " 1.22500000e-01, 4.62500000e-01, 5.32500000e-01, 5.00000000e-01,\n", - " 4.75000000e-02, 1.85000000e-01, 3.50000000e-01, 6.25000000e-02,\n", - " 1.57500000e-01, 9.50000000e-02, 4.25000000e-02, 7.00000000e-02,\n", - " 1.52500000e-01, 1.17500000e-01, 1.02500000e-01, 2.00000000e-02,\n", - " 7.52500000e-01, 9.57500000e-01, 3.75000000e-02, 4.00000000e-02,\n", - " 8.75000000e-02, 2.79500000e+00, 1.51250000e+00, 3.25000000e-02,\n", - " 1.06750000e+00, 5.55000000e-01, 2.50000000e-03, 1.07500000e-01,\n", - " 6.00000000e-02, 5.10000000e-01, 7.50000000e-01, 1.03000000e+00,\n", - " 7.00000000e-02, 2.00250000e+00, 3.42500000e-01, 1.45000000e+00,\n", - " 1.87500000e-01, 2.62500000e-01, 1.11750000e+00, 8.45000000e-01,\n", - " 3.47500000e-01, 3.97500000e-01, 0.00000000e+00, 2.50000000e-01,\n", - " 2.22500000e-01, 3.00000000e-02, 1.50000000e-02, 2.75000000e-02,\n", - " 4.25000000e-02, 8.00000000e-02, 1.65000000e-01, 1.12500000e-01,\n", - " 9.50000000e-02, 4.47500000e-01, 4.87500000e-01, 1.00000000e-02,\n", - " 9.75000000e-02, 1.35000000e-01, 6.00000000e-02, 9.25000000e-02,\n", - " 5.00000000e-02, 1.62500000e-01, 4.17500000e-01, 6.00000000e-02,\n", - " 4.75000000e-02, 2.74000000e+00, 1.07500000e-01, 9.25000000e-02,\n", - " 8.00000000e-02, 5.12500000e-01, 1.17500000e-01, 4.25000000e-02,\n", - " 3.60000000e-01, 9.50000000e-02, 6.62500000e-01, 1.75000000e-01,\n", - " 1.49750000e+00, 1.08250000e+00, 1.02500000e+00, 9.25000000e-02,\n", - " 1.00000000e-02, 1.17500000e-01, 2.75000000e-02, 6.75000000e-02,\n", - " 1.39000000e+00, 7.25000000e-02, 7.50000000e-03, 4.00000000e-02,\n", - " 9.30000000e-01, 2.35000000e-01, 5.50000000e-02, 1.90000000e-01,\n", - " 9.20000000e-01, 1.67000000e+00, 3.06000000e+00, 3.55000000e-01,\n", - " 1.61000000e+00, 2.16250000e+00, 1.87500000e-01, 9.75000000e-02,\n", - " 2.62500000e-01, 3.67000000e+00, 1.96000000e+00, 1.00000000e-02,\n", - " 1.12500000e-01, 1.65000000e-01, 7.00000000e-02, 3.20000000e-01,\n", - " 1.45000000e-01, 2.50000000e-01, 2.77500000e-01, 1.47750000e+00,\n", - " 3.47500000e-01, 2.00000000e-02, 4.20000000e-01, 6.62500000e-01,\n", - " 3.97500000e-01, 3.47500000e-01, 2.25000000e-02, 1.92500000e-01,\n", - " 1.17500000e-01, 4.25000000e-02, 2.25000000e-02, 1.84750000e+00,\n", - " 1.35000000e-01, 5.25000000e-02, 1.75000000e-01, 3.35000000e-01,\n", - " 1.97750000e+00, 1.10500000e+00, 1.72500000e-01, 2.40000000e-01,\n", - " 9.70000000e-01, 1.37500000e-01, 2.35000000e-01, 7.50000000e-01,\n", - " 6.35000000e-01, 9.25000000e-02, 1.15250000e+00, 1.05000000e-01,\n", - " 2.29500000e+00, 1.22500000e-01, 3.67500000e-01, 1.75000000e-02,\n", - " 1.25000000e-02, 3.25000000e-02, 1.90000000e-01, 1.27500000e-01,\n", - " 2.05000000e-01, 1.12500000e-01, 8.75000000e-02, 1.07500000e-01,\n", - " 3.77500000e-01, 1.30000000e-01, 5.25000000e-02, 5.00000000e-01,\n", - " 4.25000000e-02, 1.60500000e+00, 3.87500000e-01, 3.95000000e-01,\n", - " 9.25000000e-02, 1.45000000e-01, 5.50000000e-02, 1.78500000e+00,\n", - " 7.00000000e-02, 3.25000000e-02, 3.72500000e-01, 3.31000000e+00,\n", - " 5.00000000e-02, 8.00000000e-02, 1.00000000e-02, 1.53000000e+00,\n", - " 2.50000000e-02, 3.45000000e-01, 5.00000000e-02, 1.37750000e+00,\n", - " 5.60000000e-01, 2.25000000e-02, 5.00000000e-03, 9.25000000e-01,\n", - " 1.75000000e-02, 1.52500000e-01, 5.10000000e-01, 1.35000000e-01,\n", - " 6.17500000e-01, 2.07500000e-01, 4.40000000e-01, 7.00000000e-02,\n", - " 1.30000000e-01, 2.25000000e-02, 1.90250000e+00, 1.95000000e+00,\n", - " 4.22500000e-01, 1.03750000e+00, 2.13000000e+00, 8.25000000e-02,\n", - " 1.25000000e-02, 4.25000000e-02, 8.75000000e-02, 1.12500000e-01,\n", - " 3.75000000e-02, 1.50000000e-02, 8.25000000e-02, 2.00000000e-01,\n", - " 2.77500000e-01, 8.25000000e-02, 4.50000000e-02, 4.25000000e-02,\n", - " 5.75000000e-02, 7.50000000e-03, 1.85000000e-01, 9.50000000e-02,\n", - " 4.50000000e-02, 2.32500000e-01, 2.00000000e-02, 3.57500000e-01,\n", - " 6.10000000e-01, 2.22500000e-01, 5.80000000e-01, 1.05250000e+00,\n", - " 3.32500000e-01, 1.60000000e+00, 1.75000000e-01, 3.07500000e-01,\n", - " 6.00000000e-01, 2.42500000e-01, 1.15000000e-01, 1.45000000e-01,\n", - " 6.50000000e-02, 8.25000000e-02, 2.50000000e-03, 9.25000000e-02,\n", - " 4.25000000e-02, 2.25000000e-02, 1.02500000e-01, 4.67500000e-01,\n", - " 1.10000000e-01, 9.00000000e-02, 3.75000000e-02, 1.62500000e-01,\n", - " 1.07000000e+00, 4.52500000e-01, 1.22500000e-01, 2.97500000e-01,\n", - " 8.75000000e-02, 2.20000000e+00, 1.55000000e-01, 7.47500000e-01,\n", - " 1.50000000e-01, 1.90000000e-01, 7.75000000e-02, 2.20000000e-01,\n", - " 1.15000000e-01, 8.25000000e-02, 2.80000000e-01, 1.50000000e-02,\n", - " 4.50000000e-02, 1.17500000e-01, 8.75000000e-02, 1.15000000e-01,\n", - " 3.25000000e-02, 1.67500000e-01, 1.00000000e+00, 2.87500000e-01,\n", - " 4.52500000e-01, 2.72500000e-01, 1.57500000e-01, 3.45000000e-01,\n", - " 1.15250000e+00, 8.77500000e-01, 6.50000000e-02, 2.60000000e-01,\n", - " 1.32500000e-01, 1.72500000e-01, 3.90000000e-01, 7.42500000e-01,\n", - " 7.50000000e-03, 1.25000000e-02, 8.82500000e-01, 9.10000000e-01,\n", - " 1.40000000e-01, 1.75000000e-02, 9.75000000e-02, 6.50000000e-02,\n", - " 7.50000000e-03, 1.75000000e-02, 7.50000000e-02, 8.75000000e-02,\n", - " 9.92500000e-01, 4.80000000e-01, 5.25000000e-02, 1.47500000e-01,\n", - " 1.03000000e+00, 6.00000000e-02, 1.87000000e+00, 9.00000000e-02,\n", - " 1.34750000e+00, 1.22500000e-01, 5.32500000e-01, 1.00000000e-02,\n", - " 3.25000000e-02, 8.50000000e-02, 3.50000000e-02, 5.67500000e-01,\n", - " 3.45000000e-01, 2.72500000e-01, 4.00000000e-02, 1.07500000e-01,\n", - " 7.50000000e-03, 4.60000000e-01, 1.27500000e-01, 1.50000000e-02,\n", - " 2.10000000e-01, 7.32500000e-01, 2.60000000e-01, 2.50000000e-03,\n", - " 1.08500000e+00, 7.50000000e-02, 7.65000000e-01, 1.25000000e-02,\n", - " 7.50000000e-03, 9.75000000e-02, 4.55000000e-01, 7.00000000e-02,\n", - " 1.90000000e-01, 4.42500000e-01, 2.25000000e-02, 3.00000000e-02,\n", - " 1.58000000e+00, 1.00000000e-02, 1.00000000e-02, 8.00000000e-02,\n", - " 9.25000000e-02, 8.00000000e-02, 2.75000000e-02, 1.35000000e-01,\n", - " 1.15000000e-01, 1.60000000e-01, 1.20000000e-01, 3.45000000e-01,\n", - " 6.22500000e-01, 4.75000000e-02, 2.50000000e-02, 6.50000000e-02,\n", - " 1.07500000e-01, 1.10000000e-01, 3.60000000e-01, 4.25000000e-02,\n", - " 2.25000000e-02, 1.22500000e-01, 6.37500000e-01, 2.07500000e-01,\n", - " 1.17500000e-01, 4.43000000e+00, 5.00000000e-03, 5.50000000e-02,\n", - " 5.25000000e-02, 1.50000000e-02, 1.75000000e-02, 2.25000000e-02,\n", - " 2.00000000e-02, 1.45000000e-01, 3.50000000e-02, 4.65000000e-01,\n", - " 2.40500000e+00, 1.37500000e-01, 4.75000000e-02, 1.62500000e-01,\n", - " 8.67500000e-01, 6.75000000e-02, 4.25000000e-02, 1.87500000e-01,\n", - " 3.75000000e-02, 2.17500000e-01, 3.70000000e-01, 3.02500000e-01,\n", - " 2.75000000e-02, 1.40000000e-01, 9.75000000e-02, 7.25000000e-02,\n", - " 1.17500000e-01, 6.55000000e-01, 1.40000000e-01, 2.27500000e-01,\n", - " 3.70000000e-01, 4.50000000e-01, 3.50000000e-02, 1.00000000e-01,\n", - " 4.15000000e-01, 3.80000000e-01, 1.35500000e+00, 3.25000000e-02,\n", - " 4.97500000e-01, 6.00000000e-02, 1.47500000e-01, 2.07500000e-01,\n", - " 5.00000000e-02, 2.07500000e-01, 7.50000000e-02, 6.25000000e-02,\n", - " 1.75000000e-01, 1.97500000e-01, 4.50000000e-02, 2.00000000e-02,\n", - " 1.60000000e-01, 2.82500000e-01, 1.77500000e-01, 1.17500000e-01,\n", - " 6.75000000e-02, 7.50000000e-03, 2.85000000e-01, 8.02500000e-01,\n", - " 1.07500000e-01, 5.50000000e-02, 2.50000000e-03, 1.65000000e-01,\n", - " 1.17500000e-01, 3.75000000e-02, 4.50000000e-02, 1.97500000e-01,\n", - " 6.00000000e-02, 1.28000000e+00, 1.17500000e-01, 4.50000000e-02,\n", - " 0.00000000e+00, 2.55000000e-01, 6.00000000e-02, 8.00000000e-02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.60313616e+03, -2.52731782e+03, 1.12378881e+02, -7.66799868e+01,\n", - " 1.42722307e+02, 7.70502872e+00, 1.88870552e+02, 6.72280685e+02,\n", - " -8.60887805e+01, -3.49208540e+01, 9.64939464e+01, 1.45615013e+03,\n", - " -1.93007505e+03, -3.00405080e+03, 3.00405080e+03]), array([ 1.40030000e-01, 6.54170000e-01, 1.27699000e+00, 9.04970000e-01,\n", - " 4.80700000e-02, 8.77800000e-02, 5.85200000e-02, 1.23310000e-01,\n", - " 2.02730000e-01, 3.13500000e-02, 1.23310000e-01, 9.82300000e-02,\n", - " 2.19868000e+00, 8.36000000e-03, 2.92600000e-02, 1.88100000e-02,\n", - " 1.09725000e+00, 7.90020000e-01, 1.19130000e-01, 1.86010000e-01,\n", - " 4.38900000e-02, 2.29900000e-02, 1.25400000e-02, 0.00000000e+00,\n", - " 4.18000000e-02, 1.37940000e-01, 1.04500000e-02, 8.04650000e-01,\n", - " 1.56750000e-01, 6.45810000e-01, 3.42760000e-01, 2.61250000e-01,\n", - " 2.88420000e-01, 1.25400000e-02, 0.00000000e+00, 1.46300000e-02,\n", - " 1.63020000e-01, 7.52400000e-02, 3.76200000e-02, 2.71700000e-02,\n", - " 9.40500000e-02, 8.77800000e-02, 2.36170000e-01, 4.97420000e-01,\n", - " 7.94200000e-02, 8.25550000e-01, 2.61250000e-01, 1.05127000e+00,\n", - " 1.31670000e-01, 3.67422000e+00, 2.29900000e-02, 2.92600000e-02,\n", - " 9.61400000e-02, 6.89700000e-02, 1.54660000e-01, 3.76200000e-02,\n", - " 1.37940000e-01, 1.09934000e+00, 1.90817000e+00, 5.12050000e-01,\n", - " 3.57390000e-01, 3.13500000e-01, 1.25400000e-01, 5.35040000e-01,\n", - " 6.47900000e-02, 5.22500000e-02, 5.09960000e-01, 4.34720000e-01,\n", - " 2.09000000e-02, 0.00000000e+00, 9.61400000e-02, 9.82300000e-02,\n", - " 8.36000000e-03, 2.29900000e-02, 1.75560000e-01, 3.59480000e-01,\n", - " 2.13180000e-01, 6.89700000e-02, 7.10600000e-02, 5.26680000e-01,\n", - " 1.22474000e+00, 1.08889000e+00, 2.38260000e-01, 3.84560000e-01,\n", - " 4.49350000e-01, 5.01600000e-01, 5.64300000e-02, 1.17040000e-01,\n", - " 2.09000000e-02, 2.50800000e-02, 3.76200000e-02, 0.00000000e+00,\n", - " 1.04500000e-02, 2.92600000e-02, 4.24270000e-01, 1.10770000e-01,\n", - " 1.25400000e-02, 0.00000000e+00, 3.13500000e-02, 3.40670000e-01,\n", - " 2.71700000e-01, 9.69760000e-01, 1.27072000e+00, 2.36170000e-01,\n", - " 3.76200000e-02, 1.88100000e-02, 9.82300000e-02, 1.88100000e-02,\n", - " 5.62210000e-01, 4.36810000e-01, 1.33760000e-01, 1.08680000e-01,\n", - " 1.13905000e+00, 2.29900000e-01, 0.00000000e+00, 5.49670000e-01,\n", - " 3.61570000e-01, 1.78486000e+00, 2.88420000e-01, 8.54810000e-01,\n", - " 1.77650000e-01, 2.42440000e-01, 6.62530000e-01, 1.11188000e+00,\n", - " 9.94840000e-01, 1.99177000e+00, 2.96780000e-01, 1.27490000e-01,\n", - " 8.46450000e-01, 1.04918000e+00, 3.57390000e-01, 1.96460000e-01,\n", - " 4.18000000e-02, 1.67200000e-01, 3.11410000e-01, 2.17360000e-01,\n", - " 1.83920000e-01, 5.43400000e-01, 1.54660000e-01, 5.22500000e-02,\n", - " 1.03873000e+00, 8.84070000e-01, 7.75390000e-01, 8.10920000e-01,\n", - " 1.23310000e-01, 1.40030000e-01, 2.71700000e-02, 7.31500000e-02,\n", - " 1.50480000e-01, 2.88420000e-01, 0.00000000e+00, 0.00000000e+00,\n", - " 2.07537000e+00, 3.01796000e+00, 6.55215000e+00, 1.71380000e-01,\n", - " 1.88100000e-01, 1.02410000e-01, 2.29900000e-02, 2.50800000e-02,\n", - " 6.27000000e-02, 5.43400000e-02, 3.36490000e-01, 3.07230000e-01,\n", - " 2.88420000e-01, 8.36000000e-02, 2.16524000e+00, 3.96473000e+00,\n", - " 6.06100000e-02, 5.22500000e-02, 1.40030000e-01, 5.64300000e-02,\n", - " 6.27000000e-02, 1.48390000e-01, 2.80060000e-01, 1.00320000e-01,\n", - " 1.42120000e-01, 1.46300000e-01, 1.88100000e-02, 3.57390000e-01,\n", - " 4.59800000e-02, 1.10770000e-01, 1.31670000e-01, 3.40670000e-01,\n", - " 2.65430000e-01, 2.29900000e-02, 3.95010000e-01, 1.19130000e-01,\n", - " 8.56900000e-02, 9.40500000e-02, 2.21540000e-01, 1.12860000e-01,\n", - " 2.44530000e-01, 1.25400000e-02, 1.14950000e-01, 7.10600000e-02,\n", - " 1.00320000e-01, 3.55300000e-02, 4.09431000e+00, 1.04500000e-01,\n", - " 9.19600000e-02, 4.18000000e+00, 1.50480000e-01, 2.71700000e-02,\n", - " 0.00000000e+00, 2.71700000e-02, 1.25400000e-02, 1.04500000e-01,\n", - " 1.44210000e-01, 2.92600000e-02, 1.10770000e-01, 1.37940000e+00,\n", - " 8.79890000e-01, 1.06381000e+00, 3.71184000e+00, 3.22278000e+00,\n", - " 8.77800000e-02, 5.01600000e-02, 8.44360000e-01, 5.43400000e-01,\n", - " 1.83711000e+00, 1.30416000e+00, 1.88100000e-02, 4.59800000e-01,\n", - " 1.31670000e-01, 1.86637000e+00, 1.04500000e-02, 1.46300000e-02,\n", - " 2.29900000e-02, 1.04500000e-02, 6.58350000e-01, 5.20410000e-01,\n", - " 5.22500000e-01, 1.64065000e+00, 8.56900000e-02, 2.09000000e-02,\n", - " 8.17190000e-01, 2.71700000e-02, 8.56900000e-02, 1.31879000e+00,\n", - " 8.98700000e-02, 8.36000000e-02, 7.94200000e-02, 9.19600000e-02,\n", - " 4.80700000e-02, 1.06799000e+00, 6.06100000e-01, 1.88100000e-01,\n", - " 2.86330000e-01, 1.00320000e-01, 1.88100000e-02, 5.35040000e-01,\n", - " 3.34400000e-01, 7.62850000e-01, 7.52400000e-02, 1.33760000e-01,\n", - " 4.80700000e-02, 7.73300000e-02, 1.56750000e-01, 5.99830000e-01,\n", - " 1.69290000e-01, 6.16550000e-01, 2.36170000e-01, 8.77800000e-02,\n", - " 1.83920000e-01, 3.15590000e-01, 5.26680000e-01, 1.43792000e+00,\n", - " 1.60930000e-01, 7.62850000e-01, 7.10600000e-02, 6.89700000e-02,\n", - " 1.88100000e-01, 3.82470000e-01, 1.46300000e-01, 4.34720000e-01,\n", - " 2.92600000e-02, 9.82300000e-02, 5.43400000e-01, 2.84240000e-01,\n", - " 3.55300000e-02, 6.47900000e-02, 2.27810000e-01, 1.31670000e-01,\n", - " 2.48710000e-01, 1.67200000e-01, 2.29900000e-02, 7.31500000e-02,\n", - " 1.67200000e-02, 2.09000000e-03, 8.48540000e-01, 1.13487000e+00,\n", - " 5.43400000e-02, 3.97100000e-02, 2.51009000e+00, 1.13278000e+00,\n", - " 2.15270000e-01, 8.48540000e-01, 1.31670000e-01, 4.43080000e-01,\n", - " 5.85200000e-02, 5.22500000e-02, 5.91470000e-01, 7.10600000e-02,\n", - " 2.71700000e-02, 4.11730000e-01, 2.31990000e-01, 1.08680000e-01,\n", - " 9.57220000e-01, 3.34400000e-02, 7.73300000e-02, 3.97100000e-02,\n", - " 5.64300000e-02, 2.09000000e-02, 1.30625000e+00, 6.81340000e-01,\n", - " 7.73300000e-02, 3.55300000e-02, 5.55940000e-01, 5.85200000e-02,\n", - " 2.77970000e-01, 2.09000000e-03, 2.57070000e-01, 3.30220000e-01,\n", - " 9.40500000e-02, 3.11410000e-01, 5.22500000e-02, 1.66155000e+00,\n", - " 7.10600000e-02, 6.89700000e-02, 6.47900000e-02, 2.39096000e+00,\n", - " 7.31500000e-02, 1.73470000e-01, 1.88100000e-02, 1.04500000e-02,\n", - " 5.78930000e-01, 2.06910000e-01, 1.67200000e-02, 0.00000000e+00,\n", - " 7.35680000e-01, 3.80380000e-01, 1.09516000e+00, 4.76520000e-01,\n", - " 1.25400000e-02, 8.36000000e-03, 6.27000000e-02, 2.84240000e-01,\n", - " 3.36490000e-01, 5.22500000e-02, 0.00000000e+00, 1.88100000e-02,\n", - " 1.96460000e-01, 3.76200000e-02, 6.68800000e-02, 1.10770000e-01,\n", - " 7.33590000e-01, 4.80700000e-01, 1.46300000e-02, 5.01600000e-02,\n", - " 2.71700000e-02, 2.09000000e-02, 2.09000000e-02, 6.27000000e-02,\n", - " 6.27000000e-02, 8.04650000e-01, 7.67030000e-01, 5.85200000e-02,\n", - " 8.15100000e-02, 3.13500000e-02, 2.29900000e-02, 6.89700000e-02,\n", - " 2.09000000e-02, 2.09000000e-02, 1.42120000e-01, 1.08680000e-01,\n", - " 1.48390000e-01, 1.86010000e-01, 1.58631000e+00, 3.26040000e-01,\n", - " 2.88420000e-01, 3.00960000e-01, 5.62210000e-01, 4.18000000e-02,\n", - " 2.71700000e-01, 7.75390000e-01, 5.43400000e-02, 2.20704000e+00,\n", - " 1.65319000e+00, 1.01365000e+00, 1.12860000e-01, 3.13500000e-02,\n", - " 1.84965000e+00, 4.68160000e-01, 7.79570000e-01, 1.71380000e-01,\n", - " 3.97100000e-02, 6.39540000e-01, 5.14140000e-01, 2.09000000e-02,\n", - " 8.36000000e-03, 6.27000000e-03, 1.88100000e-01, 8.36000000e-03,\n", - " 8.71530000e-01, 1.86846000e+00, 8.36000000e-02, 1.71380000e-01,\n", - " 3.84560000e-01, 1.04500000e-02, 4.80700000e-02, 5.64300000e-01,\n", - " 6.06100000e-02, 1.00320000e-01, 2.15270000e-01, 1.17249000e+00,\n", - " 6.45810000e-01, 1.33760000e-01, 2.11090000e-01, 2.80060000e-01,\n", - " 3.13500000e-02, 1.42120000e-01, 1.79740000e-01, 7.52400000e-02,\n", - " 1.04500000e-02, 1.12860000e-01, 5.43400000e-02, 5.22500000e-02,\n", - " 1.19130000e-01, 1.48390000e-01, 2.19450000e-01, 5.85200000e-02,\n", - " 6.27000000e-03, 7.94200000e-02, 1.00947000e+00, 5.64300000e-02,\n", - " 4.93240000e-01, 5.01600000e-02, 1.79740000e-01, 1.02410000e+00,\n", - " 1.60721000e+00, 3.59480000e-01, 6.85520000e-01, 7.94200000e-02,\n", - " 7.31500000e-02, 5.22500000e-02, 3.82470000e-01, 6.27000000e-02,\n", - " 6.68800000e-02, 3.76200000e-02, 1.04500000e-01, 1.00320000e-01,\n", - " 1.06590000e+00, 3.07230000e-01, 1.21220000e-01, 2.09000000e-03,\n", - " 1.02410000e-01, 3.86650000e-01, 4.45170000e-01, 4.18000000e-01,\n", - " 3.97100000e-02, 1.54660000e-01, 2.92600000e-01, 5.22500000e-02,\n", - " 1.31670000e-01, 7.94200000e-02, 3.55300000e-02, 5.85200000e-02,\n", - " 1.27490000e-01, 9.82300000e-02, 8.56900000e-02, 1.67200000e-02,\n", - " 6.29090000e-01, 8.00470000e-01, 3.13500000e-02, 3.34400000e-02,\n", - " 7.31500000e-02, 2.33662000e+00, 1.26445000e+00, 2.71700000e-02,\n", - " 8.92430000e-01, 4.63980000e-01, 2.09000000e-03, 8.98700000e-02,\n", - " 5.01600000e-02, 4.26360000e-01, 6.27000000e-01, 8.61080000e-01,\n", - " 5.85200000e-02, 1.67409000e+00, 2.86330000e-01, 1.21220000e+00,\n", - " 1.56750000e-01, 2.19450000e-01, 9.34230000e-01, 7.06420000e-01,\n", - " 2.90510000e-01, 3.32310000e-01, 0.00000000e+00, 2.09000000e-01,\n", - " 1.86010000e-01, 2.50800000e-02, 1.25400000e-02, 2.29900000e-02,\n", - " 3.55300000e-02, 6.68800000e-02, 1.37940000e-01, 9.40500000e-02,\n", - " 7.94200000e-02, 3.74110000e-01, 4.07550000e-01, 8.36000000e-03,\n", - " 8.15100000e-02, 1.12860000e-01, 5.01600000e-02, 7.73300000e-02,\n", - " 4.18000000e-02, 1.35850000e-01, 3.49030000e-01, 5.01600000e-02,\n", - " 3.97100000e-02, 2.29064000e+00, 8.98700000e-02, 7.73300000e-02,\n", - " 6.68800000e-02, 4.28450000e-01, 9.82300000e-02, 3.55300000e-02,\n", - " 3.00960000e-01, 7.94200000e-02, 5.53850000e-01, 1.46300000e-01,\n", - " 1.25191000e+00, 9.04970000e-01, 8.56900000e-01, 7.73300000e-02,\n", - " 8.36000000e-03, 9.82300000e-02, 2.29900000e-02, 5.64300000e-02,\n", - " 1.16204000e+00, 6.06100000e-02, 6.27000000e-03, 3.34400000e-02,\n", - " 7.77480000e-01, 1.96460000e-01, 4.59800000e-02, 1.58840000e-01,\n", - " 7.69120000e-01, 1.39612000e+00, 2.55816000e+00, 2.96780000e-01,\n", - " 1.34596000e+00, 1.80785000e+00, 1.56750000e-01, 8.15100000e-02,\n", - " 2.19450000e-01, 3.06812000e+00, 1.63856000e+00, 8.36000000e-03,\n", - " 9.40500000e-02, 1.37940000e-01, 5.85200000e-02, 2.67520000e-01,\n", - " 1.21220000e-01, 2.09000000e-01, 2.31990000e-01, 1.23519000e+00,\n", - " 2.90510000e-01, 1.67200000e-02, 3.51120000e-01, 5.53850000e-01,\n", - " 3.32310000e-01, 2.90510000e-01, 1.88100000e-02, 1.60930000e-01,\n", - " 9.82300000e-02, 3.55300000e-02, 1.88100000e-02, 1.54451000e+00,\n", - " 1.12860000e-01, 4.38900000e-02, 1.46300000e-01, 2.80060000e-01,\n", - " 1.65319000e+00, 9.23780000e-01, 1.44210000e-01, 2.00640000e-01,\n", - " 8.10920000e-01, 1.14950000e-01, 1.96460000e-01, 6.27000000e-01,\n", - " 5.30860000e-01, 7.73300000e-02, 9.63490000e-01, 8.77800000e-02,\n", - " 1.91862000e+00, 1.02410000e-01, 3.07230000e-01, 1.46300000e-02,\n", - " 1.04500000e-02, 2.71700000e-02, 1.58840000e-01, 1.06590000e-01,\n", - " 1.71380000e-01, 9.40500000e-02, 7.31500000e-02, 8.98700000e-02,\n", - " 3.15590000e-01, 1.08680000e-01, 4.38900000e-02, 4.18000000e-01,\n", - " 3.55300000e-02, 1.34178000e+00, 3.23950000e-01, 3.30220000e-01,\n", - " 7.73300000e-02, 1.21220000e-01, 4.59800000e-02, 1.49226000e+00,\n", - " 5.85200000e-02, 2.71700000e-02, 3.11410000e-01, 2.76716000e+00,\n", - " 4.18000000e-02, 6.68800000e-02, 8.36000000e-03, 1.27908000e+00,\n", - " 2.09000000e-02, 2.88420000e-01, 4.18000000e-02, 1.15159000e+00,\n", - " 4.68160000e-01, 1.88100000e-02, 4.18000000e-03, 7.73300000e-01,\n", - " 1.46300000e-02, 1.27490000e-01, 4.26360000e-01, 1.12860000e-01,\n", - " 5.16230000e-01, 1.73470000e-01, 3.67840000e-01, 5.85200000e-02,\n", - " 1.08680000e-01, 1.88100000e-02, 1.59049000e+00, 1.63020000e+00,\n", - " 3.53210000e-01, 8.67350000e-01, 1.78068000e+00, 6.89700000e-02,\n", - " 1.04500000e-02, 3.55300000e-02, 7.31500000e-02, 9.40500000e-02,\n", - " 3.13500000e-02, 1.25400000e-02, 6.89700000e-02, 1.67200000e-01,\n", - " 2.31990000e-01, 6.89700000e-02, 3.76200000e-02, 3.55300000e-02,\n", - " 4.80700000e-02, 6.27000000e-03, 1.54660000e-01, 7.94200000e-02,\n", - " 3.76200000e-02, 1.94370000e-01, 1.67200000e-02, 2.98870000e-01,\n", - " 5.09960000e-01, 1.86010000e-01, 4.84880000e-01, 8.79890000e-01,\n", - " 2.77970000e-01, 1.33760000e+00, 1.46300000e-01, 2.57070000e-01,\n", - " 5.01600000e-01, 2.02730000e-01, 9.61400000e-02, 1.21220000e-01,\n", - " 5.43400000e-02, 6.89700000e-02, 2.09000000e-03, 7.73300000e-02,\n", - " 3.55300000e-02, 1.88100000e-02, 8.56900000e-02, 3.90830000e-01,\n", - " 9.19600000e-02, 7.52400000e-02, 3.13500000e-02, 1.35850000e-01,\n", - " 8.94520000e-01, 3.78290000e-01, 1.02410000e-01, 2.48710000e-01,\n", - " 7.31500000e-02, 1.83920000e+00, 1.29580000e-01, 6.24910000e-01,\n", - " 1.25400000e-01, 1.58840000e-01, 6.47900000e-02, 1.83920000e-01,\n", - " 9.61400000e-02, 6.89700000e-02, 2.34080000e-01, 1.25400000e-02,\n", - " 3.76200000e-02, 9.82300000e-02, 7.31500000e-02, 9.61400000e-02,\n", - " 2.71700000e-02, 1.40030000e-01, 8.36000000e-01, 2.40350000e-01,\n", - " 3.78290000e-01, 2.27810000e-01, 1.31670000e-01, 2.88420000e-01,\n", - " 9.63490000e-01, 7.33590000e-01, 5.43400000e-02, 2.17360000e-01,\n", - " 1.10770000e-01, 1.44210000e-01, 3.26040000e-01, 6.20730000e-01,\n", - " 6.27000000e-03, 1.04500000e-02, 7.37770000e-01, 7.60760000e-01,\n", - " 1.17040000e-01, 1.46300000e-02, 8.15100000e-02, 5.43400000e-02,\n", - " 6.27000000e-03, 1.46300000e-02, 6.27000000e-02, 7.31500000e-02,\n", - " 8.29730000e-01, 4.01280000e-01, 4.38900000e-02, 1.23310000e-01,\n", - " 8.61080000e-01, 5.01600000e-02, 1.56332000e+00, 7.52400000e-02,\n", - " 1.12651000e+00, 1.02410000e-01, 4.45170000e-01, 8.36000000e-03,\n", - " 2.71700000e-02, 7.10600000e-02, 2.92600000e-02, 4.74430000e-01,\n", - " 2.88420000e-01, 2.27810000e-01, 3.34400000e-02, 8.98700000e-02,\n", - " 6.27000000e-03, 3.84560000e-01, 1.06590000e-01, 1.25400000e-02,\n", - " 1.75560000e-01, 6.12370000e-01, 2.17360000e-01, 2.09000000e-03,\n", - " 9.07060000e-01, 6.27000000e-02, 6.39540000e-01, 1.04500000e-02,\n", - " 6.27000000e-03, 8.15100000e-02, 3.80380000e-01, 5.85200000e-02,\n", - " 1.58840000e-01, 3.69930000e-01, 1.88100000e-02, 2.50800000e-02,\n", - " 1.32088000e+00, 8.36000000e-03, 8.36000000e-03, 6.68800000e-02,\n", - " 7.73300000e-02, 6.68800000e-02, 2.29900000e-02, 1.12860000e-01,\n", - " 9.61400000e-02, 1.33760000e-01, 1.00320000e-01, 2.88420000e-01,\n", - " 5.20410000e-01, 3.97100000e-02, 2.09000000e-02, 5.43400000e-02,\n", - " 8.98700000e-02, 9.19600000e-02, 3.00960000e-01, 3.55300000e-02,\n", - " 1.88100000e-02, 1.02410000e-01, 5.32950000e-01, 1.73470000e-01,\n", - " 9.82300000e-02, 3.70348000e+00, 4.18000000e-03, 4.59800000e-02,\n", - " 4.38900000e-02, 1.25400000e-02, 1.46300000e-02, 1.88100000e-02,\n", - " 1.67200000e-02, 1.21220000e-01, 2.92600000e-02, 3.88740000e-01,\n", - " 2.01058000e+00, 1.14950000e-01, 3.97100000e-02, 1.35850000e-01,\n", - " 7.25230000e-01, 5.64300000e-02, 3.55300000e-02, 1.56750000e-01,\n", - " 3.13500000e-02, 1.81830000e-01, 3.09320000e-01, 2.52890000e-01,\n", - " 2.29900000e-02, 1.17040000e-01, 8.15100000e-02, 6.06100000e-02,\n", - " 9.82300000e-02, 5.47580000e-01, 1.17040000e-01, 1.90190000e-01,\n", - " 3.09320000e-01, 3.76200000e-01, 2.92600000e-02, 8.36000000e-02,\n", - " 3.46940000e-01, 3.17680000e-01, 1.13278000e+00, 2.71700000e-02,\n", - " 4.15910000e-01, 5.01600000e-02, 1.23310000e-01, 1.73470000e-01,\n", - " 4.18000000e-02, 1.73470000e-01, 6.27000000e-02, 5.22500000e-02,\n", - " 1.46300000e-01, 1.65110000e-01, 3.76200000e-02, 1.67200000e-02,\n", - " 1.33760000e-01, 2.36170000e-01, 1.48390000e-01, 9.82300000e-02,\n", - " 5.64300000e-02, 6.27000000e-03, 2.38260000e-01, 6.70890000e-01,\n", - " 8.98700000e-02, 4.59800000e-02, 2.09000000e-03, 1.37940000e-01,\n", - " 9.82300000e-02, 3.13500000e-02, 3.76200000e-02, 1.65110000e-01,\n", - " 5.01600000e-02, 1.07008000e+00, 9.82300000e-02, 3.76200000e-02,\n", - " 0.00000000e+00, 2.13180000e-01, 5.01600000e-02, 6.68800000e-02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.60094754e+03, -2.52731782e+03, 1.15907873e+02, -6.88199533e+01,\n", - " 1.40488446e+02, 2.52599263e+01, 1.97633902e+02, 6.60415111e+02,\n", - " -8.35634070e+01, -2.91939776e+01, 9.78102729e+01, 1.31523300e+03,\n", - " -1.55582348e+03, 2.60898854e+03, -2.81175444e+03]), array([ 1.40030000e-01, 6.54170000e-01, 1.27699000e+00, 9.04970000e-01,\n", - " 4.80700000e-02, 8.77800000e-02, 5.85200000e-02, 1.23310000e-01,\n", - " 2.02730000e-01, 3.13500000e-02, 1.23310000e-01, 9.82300000e-02,\n", - " 2.19868000e+00, 8.36000000e-03, 2.92600000e-02, 1.88100000e-02,\n", - " 1.09725000e+00, 7.90020000e-01, 1.19130000e-01, 1.86010000e-01,\n", - " 4.38900000e-02, 2.29900000e-02, 1.25400000e-02, 0.00000000e+00,\n", - " 4.18000000e-02, 1.37940000e-01, 1.04500000e-02, 8.04650000e-01,\n", - " 1.56750000e-01, 6.45810000e-01, 3.42760000e-01, 2.61250000e-01,\n", - " 2.88420000e-01, 1.25400000e-02, 0.00000000e+00, 1.46300000e-02,\n", - " 1.63020000e-01, 7.52400000e-02, 3.76200000e-02, 2.71700000e-02,\n", - " 9.40500000e-02, 8.77800000e-02, 2.36170000e-01, 4.97420000e-01,\n", - " 7.94200000e-02, 8.25550000e-01, 2.61250000e-01, 1.05127000e+00,\n", - " 1.31670000e-01, 3.67422000e+00, 2.29900000e-02, 2.92600000e-02,\n", - " 9.61400000e-02, 6.89700000e-02, 1.54660000e-01, 3.76200000e-02,\n", - " 1.37940000e-01, 1.09934000e+00, 1.90817000e+00, 5.12050000e-01,\n", - " 3.57390000e-01, 3.13500000e-01, 1.25400000e-01, 5.35040000e-01,\n", - " 6.47900000e-02, 5.22500000e-02, 5.09960000e-01, 4.34720000e-01,\n", - " 2.09000000e-02, 0.00000000e+00, 9.61400000e-02, 9.82300000e-02,\n", - " 8.36000000e-03, 2.29900000e-02, 1.75560000e-01, 3.59480000e-01,\n", - " 2.13180000e-01, 6.89700000e-02, 7.10600000e-02, 5.26680000e-01,\n", - " 1.22474000e+00, 1.08889000e+00, 2.38260000e-01, 3.84560000e-01,\n", - " 4.49350000e-01, 5.01600000e-01, 5.64300000e-02, 1.17040000e-01,\n", - " 2.09000000e-02, 2.50800000e-02, 3.76200000e-02, 0.00000000e+00,\n", - " 1.04500000e-02, 2.92600000e-02, 4.24270000e-01, 1.10770000e-01,\n", - " 1.25400000e-02, 0.00000000e+00, 3.13500000e-02, 3.40670000e-01,\n", - " 2.71700000e-01, 9.69760000e-01, 1.27072000e+00, 2.36170000e-01,\n", - " 3.76200000e-02, 1.88100000e-02, 9.82300000e-02, 1.88100000e-02,\n", - " 5.62210000e-01, 4.36810000e-01, 1.33760000e-01, 1.08680000e-01,\n", - " 1.13905000e+00, 2.29900000e-01, 0.00000000e+00, 5.49670000e-01,\n", - " 3.61570000e-01, 1.78486000e+00, 2.88420000e-01, 8.54810000e-01,\n", - " 1.77650000e-01, 2.42440000e-01, 6.62530000e-01, 1.11188000e+00,\n", - " 9.94840000e-01, 1.99177000e+00, 2.96780000e-01, 1.27490000e-01,\n", - " 8.46450000e-01, 1.04918000e+00, 3.57390000e-01, 1.96460000e-01,\n", - " 4.18000000e-02, 1.67200000e-01, 3.11410000e-01, 2.17360000e-01,\n", - " 1.83920000e-01, 5.43400000e-01, 1.54660000e-01, 5.22500000e-02,\n", - " 1.03873000e+00, 8.84070000e-01, 7.75390000e-01, 8.10920000e-01,\n", - " 1.23310000e-01, 1.40030000e-01, 2.71700000e-02, 7.31500000e-02,\n", - " 1.50480000e-01, 2.88420000e-01, 0.00000000e+00, 0.00000000e+00,\n", - " 2.07537000e+00, 3.01796000e+00, 6.55215000e+00, 1.71380000e-01,\n", - " 1.88100000e-01, 1.02410000e-01, 2.29900000e-02, 2.50800000e-02,\n", - " 6.27000000e-02, 5.43400000e-02, 3.36490000e-01, 3.07230000e-01,\n", - " 2.88420000e-01, 8.36000000e-02, 2.16524000e+00, 3.96473000e+00,\n", - " 6.06100000e-02, 5.22500000e-02, 1.40030000e-01, 5.64300000e-02,\n", - " 6.27000000e-02, 1.48390000e-01, 2.80060000e-01, 1.00320000e-01,\n", - " 1.42120000e-01, 1.46300000e-01, 1.88100000e-02, 3.57390000e-01,\n", - " 4.59800000e-02, 1.10770000e-01, 1.31670000e-01, 3.40670000e-01,\n", - " 2.65430000e-01, 2.29900000e-02, 3.95010000e-01, 1.19130000e-01,\n", - " 8.56900000e-02, 9.40500000e-02, 2.21540000e-01, 1.12860000e-01,\n", - " 2.44530000e-01, 1.25400000e-02, 1.14950000e-01, 7.10600000e-02,\n", - " 1.00320000e-01, 3.55300000e-02, 4.09431000e+00, 1.04500000e-01,\n", - " 9.19600000e-02, 4.18000000e+00, 1.50480000e-01, 2.71700000e-02,\n", - " 0.00000000e+00, 2.71700000e-02, 1.25400000e-02, 1.04500000e-01,\n", - " 1.44210000e-01, 2.92600000e-02, 1.10770000e-01, 1.37940000e+00,\n", - " 8.79890000e-01, 1.06381000e+00, 3.71184000e+00, 3.22278000e+00,\n", - " 8.77800000e-02, 5.01600000e-02, 8.44360000e-01, 5.43400000e-01,\n", - " 1.83711000e+00, 1.30416000e+00, 1.88100000e-02, 4.59800000e-01,\n", - " 1.31670000e-01, 1.86637000e+00, 1.04500000e-02, 1.46300000e-02,\n", - " 2.29900000e-02, 1.04500000e-02, 6.58350000e-01, 5.20410000e-01,\n", - " 5.22500000e-01, 1.64065000e+00, 8.56900000e-02, 2.09000000e-02,\n", - " 8.17190000e-01, 2.71700000e-02, 8.56900000e-02, 1.31879000e+00,\n", - " 8.98700000e-02, 8.36000000e-02, 7.94200000e-02, 9.19600000e-02,\n", - " 4.80700000e-02, 1.06799000e+00, 6.06100000e-01, 1.88100000e-01,\n", - " 2.86330000e-01, 1.00320000e-01, 1.88100000e-02, 5.35040000e-01,\n", - " 3.34400000e-01, 7.62850000e-01, 7.52400000e-02, 1.33760000e-01,\n", - " 4.80700000e-02, 7.73300000e-02, 1.56750000e-01, 5.99830000e-01,\n", - " 1.69290000e-01, 6.16550000e-01, 2.36170000e-01, 8.77800000e-02,\n", - " 1.83920000e-01, 3.15590000e-01, 5.26680000e-01, 1.43792000e+00,\n", - " 1.60930000e-01, 7.62850000e-01, 7.10600000e-02, 6.89700000e-02,\n", - " 1.88100000e-01, 3.82470000e-01, 1.46300000e-01, 4.34720000e-01,\n", - " 2.92600000e-02, 9.82300000e-02, 5.43400000e-01, 2.84240000e-01,\n", - " 3.55300000e-02, 6.47900000e-02, 2.27810000e-01, 1.31670000e-01,\n", - " 2.48710000e-01, 1.67200000e-01, 2.29900000e-02, 7.31500000e-02,\n", - " 1.67200000e-02, 2.09000000e-03, 8.48540000e-01, 1.13487000e+00,\n", - " 5.43400000e-02, 3.97100000e-02, 2.51009000e+00, 1.13278000e+00,\n", - " 2.15270000e-01, 8.48540000e-01, 1.31670000e-01, 4.43080000e-01,\n", - " 5.85200000e-02, 5.22500000e-02, 5.91470000e-01, 7.10600000e-02,\n", - " 2.71700000e-02, 4.11730000e-01, 2.31990000e-01, 1.08680000e-01,\n", - " 9.57220000e-01, 3.34400000e-02, 7.73300000e-02, 3.97100000e-02,\n", - " 5.64300000e-02, 2.09000000e-02, 1.30625000e+00, 6.81340000e-01,\n", - " 7.73300000e-02, 3.55300000e-02, 5.55940000e-01, 5.85200000e-02,\n", - " 2.77970000e-01, 2.09000000e-03, 2.57070000e-01, 3.30220000e-01,\n", - " 9.40500000e-02, 3.11410000e-01, 5.22500000e-02, 1.66155000e+00,\n", - " 7.10600000e-02, 6.89700000e-02, 6.47900000e-02, 2.39096000e+00,\n", - " 7.31500000e-02, 1.73470000e-01, 1.88100000e-02, 1.04500000e-02,\n", - " 5.78930000e-01, 2.06910000e-01, 1.67200000e-02, 0.00000000e+00,\n", - " 7.35680000e-01, 3.80380000e-01, 1.09516000e+00, 4.76520000e-01,\n", - " 1.25400000e-02, 8.36000000e-03, 6.27000000e-02, 2.84240000e-01,\n", - " 3.36490000e-01, 5.22500000e-02, 0.00000000e+00, 1.88100000e-02,\n", - " 1.96460000e-01, 3.76200000e-02, 6.68800000e-02, 1.10770000e-01,\n", - " 7.33590000e-01, 4.80700000e-01, 1.46300000e-02, 5.01600000e-02,\n", - " 2.71700000e-02, 2.09000000e-02, 2.09000000e-02, 6.27000000e-02,\n", - " 6.27000000e-02, 8.04650000e-01, 7.67030000e-01, 5.85200000e-02,\n", - " 8.15100000e-02, 3.13500000e-02, 2.29900000e-02, 6.89700000e-02,\n", - " 2.09000000e-02, 2.09000000e-02, 1.42120000e-01, 1.08680000e-01,\n", - " 1.48390000e-01, 1.86010000e-01, 1.58631000e+00, 3.26040000e-01,\n", - " 2.88420000e-01, 3.00960000e-01, 5.62210000e-01, 4.18000000e-02,\n", - " 2.71700000e-01, 7.75390000e-01, 5.43400000e-02, 2.20704000e+00,\n", - " 1.65319000e+00, 1.01365000e+00, 1.12860000e-01, 3.13500000e-02,\n", - " 1.84965000e+00, 4.68160000e-01, 7.79570000e-01, 1.71380000e-01,\n", - " 3.97100000e-02, 6.39540000e-01, 5.14140000e-01, 2.09000000e-02,\n", - " 8.36000000e-03, 6.27000000e-03, 1.88100000e-01, 8.36000000e-03,\n", - " 8.71530000e-01, 1.86846000e+00, 8.36000000e-02, 1.71380000e-01,\n", - " 3.84560000e-01, 1.04500000e-02, 4.80700000e-02, 5.64300000e-01,\n", - " 6.06100000e-02, 1.00320000e-01, 2.15270000e-01, 1.17249000e+00,\n", - " 6.45810000e-01, 1.33760000e-01, 2.11090000e-01, 2.80060000e-01,\n", - " 3.13500000e-02, 1.42120000e-01, 1.79740000e-01, 7.52400000e-02,\n", - " 1.04500000e-02, 1.12860000e-01, 5.43400000e-02, 5.22500000e-02,\n", - " 1.19130000e-01, 1.48390000e-01, 2.19450000e-01, 5.85200000e-02,\n", - " 6.27000000e-03, 7.94200000e-02, 1.00947000e+00, 5.64300000e-02,\n", - " 4.93240000e-01, 5.01600000e-02, 1.79740000e-01, 1.02410000e+00,\n", - " 1.60721000e+00, 3.59480000e-01, 6.85520000e-01, 7.94200000e-02,\n", - " 7.31500000e-02, 5.22500000e-02, 3.82470000e-01, 6.27000000e-02,\n", - " 6.68800000e-02, 3.76200000e-02, 1.04500000e-01, 1.00320000e-01,\n", - " 1.06590000e+00, 3.07230000e-01, 1.21220000e-01, 2.09000000e-03,\n", - " 1.02410000e-01, 3.86650000e-01, 4.45170000e-01, 4.18000000e-01,\n", - " 3.97100000e-02, 1.54660000e-01, 2.92600000e-01, 5.22500000e-02,\n", - " 1.31670000e-01, 7.94200000e-02, 3.55300000e-02, 5.85200000e-02,\n", - " 1.27490000e-01, 9.82300000e-02, 8.56900000e-02, 1.67200000e-02,\n", - " 6.29090000e-01, 8.00470000e-01, 3.13500000e-02, 3.34400000e-02,\n", - " 7.31500000e-02, 2.33662000e+00, 1.26445000e+00, 2.71700000e-02,\n", - " 8.92430000e-01, 4.63980000e-01, 2.09000000e-03, 8.98700000e-02,\n", - " 5.01600000e-02, 4.26360000e-01, 6.27000000e-01, 8.61080000e-01,\n", - " 5.85200000e-02, 1.67409000e+00, 2.86330000e-01, 1.21220000e+00,\n", - " 1.56750000e-01, 2.19450000e-01, 9.34230000e-01, 7.06420000e-01,\n", - " 2.90510000e-01, 3.32310000e-01, 0.00000000e+00, 2.09000000e-01,\n", - " 1.86010000e-01, 2.50800000e-02, 1.25400000e-02, 2.29900000e-02,\n", - " 3.55300000e-02, 6.68800000e-02, 1.37940000e-01, 9.40500000e-02,\n", - " 7.94200000e-02, 3.74110000e-01, 4.07550000e-01, 8.36000000e-03,\n", - " 8.15100000e-02, 1.12860000e-01, 5.01600000e-02, 7.73300000e-02,\n", - " 4.18000000e-02, 1.35850000e-01, 3.49030000e-01, 5.01600000e-02,\n", - " 3.97100000e-02, 2.29064000e+00, 8.98700000e-02, 7.73300000e-02,\n", - " 6.68800000e-02, 4.28450000e-01, 9.82300000e-02, 3.55300000e-02,\n", - " 3.00960000e-01, 7.94200000e-02, 5.53850000e-01, 1.46300000e-01,\n", - " 1.25191000e+00, 9.04970000e-01, 8.56900000e-01, 7.73300000e-02,\n", - " 8.36000000e-03, 9.82300000e-02, 2.29900000e-02, 5.64300000e-02,\n", - " 1.16204000e+00, 6.06100000e-02, 6.27000000e-03, 3.34400000e-02,\n", - " 7.77480000e-01, 1.96460000e-01, 4.59800000e-02, 1.58840000e-01,\n", - " 7.69120000e-01, 1.39612000e+00, 2.55816000e+00, 2.96780000e-01,\n", - " 1.34596000e+00, 1.80785000e+00, 1.56750000e-01, 8.15100000e-02,\n", - " 2.19450000e-01, 3.06812000e+00, 1.63856000e+00, 8.36000000e-03,\n", - " 9.40500000e-02, 1.37940000e-01, 5.85200000e-02, 2.67520000e-01,\n", - " 1.21220000e-01, 2.09000000e-01, 2.31990000e-01, 1.23519000e+00,\n", - " 2.90510000e-01, 1.67200000e-02, 3.51120000e-01, 5.53850000e-01,\n", - " 3.32310000e-01, 2.90510000e-01, 1.88100000e-02, 1.60930000e-01,\n", - " 9.82300000e-02, 3.55300000e-02, 1.88100000e-02, 1.54451000e+00,\n", - " 1.12860000e-01, 4.38900000e-02, 1.46300000e-01, 2.80060000e-01,\n", - " 1.65319000e+00, 9.23780000e-01, 1.44210000e-01, 2.00640000e-01,\n", - " 8.10920000e-01, 1.14950000e-01, 1.96460000e-01, 6.27000000e-01,\n", - " 5.30860000e-01, 7.73300000e-02, 9.63490000e-01, 8.77800000e-02,\n", - " 1.91862000e+00, 1.02410000e-01, 3.07230000e-01, 1.46300000e-02,\n", - " 1.04500000e-02, 2.71700000e-02, 1.58840000e-01, 1.06590000e-01,\n", - " 1.71380000e-01, 9.40500000e-02, 7.31500000e-02, 8.98700000e-02,\n", - " 3.15590000e-01, 1.08680000e-01, 4.38900000e-02, 4.18000000e-01,\n", - " 3.55300000e-02, 1.34178000e+00, 3.23950000e-01, 3.30220000e-01,\n", - " 7.73300000e-02, 1.21220000e-01, 4.59800000e-02, 1.49226000e+00,\n", - " 5.85200000e-02, 2.71700000e-02, 3.11410000e-01, 2.76716000e+00,\n", - " 4.18000000e-02, 6.68800000e-02, 8.36000000e-03, 1.27908000e+00,\n", - " 2.09000000e-02, 2.88420000e-01, 4.18000000e-02, 1.15159000e+00,\n", - " 4.68160000e-01, 1.88100000e-02, 4.18000000e-03, 7.73300000e-01,\n", - " 1.46300000e-02, 1.27490000e-01, 4.26360000e-01, 1.12860000e-01,\n", - " 5.16230000e-01, 1.73470000e-01, 3.67840000e-01, 5.85200000e-02,\n", - " 1.08680000e-01, 1.88100000e-02, 1.59049000e+00, 1.63020000e+00,\n", - " 3.53210000e-01, 8.67350000e-01, 1.78068000e+00, 6.89700000e-02,\n", - " 1.04500000e-02, 3.55300000e-02, 7.31500000e-02, 9.40500000e-02,\n", - " 3.13500000e-02, 1.25400000e-02, 6.89700000e-02, 1.67200000e-01,\n", - " 2.31990000e-01, 6.89700000e-02, 3.76200000e-02, 3.55300000e-02,\n", - " 4.80700000e-02, 6.27000000e-03, 1.54660000e-01, 7.94200000e-02,\n", - " 3.76200000e-02, 1.94370000e-01, 1.67200000e-02, 2.98870000e-01,\n", - " 5.09960000e-01, 1.86010000e-01, 4.84880000e-01, 8.79890000e-01,\n", - " 2.77970000e-01, 1.33760000e+00, 1.46300000e-01, 2.57070000e-01,\n", - " 5.01600000e-01, 2.02730000e-01, 9.61400000e-02, 1.21220000e-01,\n", - " 5.43400000e-02, 6.89700000e-02, 2.09000000e-03, 7.73300000e-02,\n", - " 3.55300000e-02, 1.88100000e-02, 8.56900000e-02, 3.90830000e-01,\n", - " 9.19600000e-02, 7.52400000e-02, 3.13500000e-02, 1.35850000e-01,\n", - " 8.94520000e-01, 3.78290000e-01, 1.02410000e-01, 2.48710000e-01,\n", - " 7.31500000e-02, 1.83920000e+00, 1.29580000e-01, 6.24910000e-01,\n", - " 1.25400000e-01, 1.58840000e-01, 6.47900000e-02, 1.83920000e-01,\n", - " 9.61400000e-02, 6.89700000e-02, 2.34080000e-01, 1.25400000e-02,\n", - " 3.76200000e-02, 9.82300000e-02, 7.31500000e-02, 9.61400000e-02,\n", - " 2.71700000e-02, 1.40030000e-01, 8.36000000e-01, 2.40350000e-01,\n", - " 3.78290000e-01, 2.27810000e-01, 1.31670000e-01, 2.88420000e-01,\n", - " 9.63490000e-01, 7.33590000e-01, 5.43400000e-02, 2.17360000e-01,\n", - " 1.10770000e-01, 1.44210000e-01, 3.26040000e-01, 6.20730000e-01,\n", - " 6.27000000e-03, 1.04500000e-02, 7.37770000e-01, 7.60760000e-01,\n", - " 1.17040000e-01, 1.46300000e-02, 8.15100000e-02, 5.43400000e-02,\n", - " 6.27000000e-03, 1.46300000e-02, 6.27000000e-02, 7.31500000e-02,\n", - " 8.29730000e-01, 4.01280000e-01, 4.38900000e-02, 1.23310000e-01,\n", - " 8.61080000e-01, 5.01600000e-02, 1.56332000e+00, 7.52400000e-02,\n", - " 1.12651000e+00, 1.02410000e-01, 4.45170000e-01, 8.36000000e-03,\n", - " 2.71700000e-02, 7.10600000e-02, 2.92600000e-02, 4.74430000e-01,\n", - " 2.88420000e-01, 2.27810000e-01, 3.34400000e-02, 8.98700000e-02,\n", - " 6.27000000e-03, 3.84560000e-01, 1.06590000e-01, 1.25400000e-02,\n", - " 1.75560000e-01, 6.12370000e-01, 2.17360000e-01, 2.09000000e-03,\n", - " 9.07060000e-01, 6.27000000e-02, 6.39540000e-01, 1.04500000e-02,\n", - " 6.27000000e-03, 8.15100000e-02, 3.80380000e-01, 5.85200000e-02,\n", - " 1.58840000e-01, 3.69930000e-01, 1.88100000e-02, 2.50800000e-02,\n", - " 1.32088000e+00, 8.36000000e-03, 8.36000000e-03, 6.68800000e-02,\n", - " 7.73300000e-02, 6.68800000e-02, 2.29900000e-02, 1.12860000e-01,\n", - " 9.61400000e-02, 1.33760000e-01, 1.00320000e-01, 2.88420000e-01,\n", - " 5.20410000e-01, 3.97100000e-02, 2.09000000e-02, 5.43400000e-02,\n", - " 8.98700000e-02, 9.19600000e-02, 3.00960000e-01, 3.55300000e-02,\n", - " 1.88100000e-02, 1.02410000e-01, 5.32950000e-01, 1.73470000e-01,\n", - " 9.82300000e-02, 3.70348000e+00, 4.18000000e-03, 4.59800000e-02,\n", - " 4.38900000e-02, 1.25400000e-02, 1.46300000e-02, 1.88100000e-02,\n", - " 1.67200000e-02, 1.21220000e-01, 2.92600000e-02, 3.88740000e-01,\n", - " 2.01058000e+00, 1.14950000e-01, 3.97100000e-02, 1.35850000e-01,\n", - " 7.25230000e-01, 5.64300000e-02, 3.55300000e-02, 1.56750000e-01,\n", - " 3.13500000e-02, 1.81830000e-01, 3.09320000e-01, 2.52890000e-01,\n", - " 2.29900000e-02, 1.17040000e-01, 8.15100000e-02, 6.06100000e-02,\n", - " 9.82300000e-02, 5.47580000e-01, 1.17040000e-01, 1.90190000e-01,\n", - " 3.09320000e-01, 3.76200000e-01, 2.92600000e-02, 8.36000000e-02,\n", - " 3.46940000e-01, 3.17680000e-01, 1.13278000e+00, 2.71700000e-02,\n", - " 4.15910000e-01, 5.01600000e-02, 1.23310000e-01, 1.73470000e-01,\n", - " 4.18000000e-02, 1.73470000e-01, 6.27000000e-02, 5.22500000e-02,\n", - " 1.46300000e-01, 1.65110000e-01, 3.76200000e-02, 1.67200000e-02,\n", - " 1.33760000e-01, 2.36170000e-01, 1.48390000e-01, 9.82300000e-02,\n", - " 5.64300000e-02, 6.27000000e-03, 2.38260000e-01, 6.70890000e-01,\n", - " 8.98700000e-02, 4.59800000e-02, 2.09000000e-03, 1.37940000e-01,\n", - " 9.82300000e-02, 3.13500000e-02, 3.76200000e-02, 1.65110000e-01,\n", - " 5.01600000e-02, 1.07008000e+00, 9.82300000e-02, 3.76200000e-02,\n", - " 0.00000000e+00, 2.13180000e-01, 5.01600000e-02, 6.68800000e-02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.59930103e+03, -2.52731782e+03, 1.15231338e+02, 6.73170537e+01,\n", - " 0.00000000e+00, 2.32137037e+01, 1.97313052e+02, 6.50929243e+02,\n", - " -8.31618467e+01, -2.91939626e+01, 9.37713071e+01, 1.23775201e+03,\n", - " -1.48237142e+03, 3.22122267e+02, -4.98695109e+02]), array([ 1.40030000e-01, 6.54170000e-01, 1.27699000e+00, 9.04970000e-01,\n", - " 4.80700000e-02, 8.77800000e-02, 5.85200000e-02, 1.23310000e-01,\n", - " 2.02730000e-01, 3.13500000e-02, 1.23310000e-01, 9.82300000e-02,\n", - " 2.19868000e+00, 8.36000000e-03, 2.92600000e-02, 1.88100000e-02,\n", - " 1.09725000e+00, 7.90020000e-01, 1.19130000e-01, 1.86010000e-01,\n", - " 4.38900000e-02, 2.29900000e-02, 1.25400000e-02, 0.00000000e+00,\n", - " 4.18000000e-02, 1.37940000e-01, 1.04500000e-02, 8.04650000e-01,\n", - " 1.56750000e-01, 6.45810000e-01, 3.42760000e-01, 2.61250000e-01,\n", - " 2.88420000e-01, 1.25400000e-02, 0.00000000e+00, 1.46300000e-02,\n", - " 1.63020000e-01, 7.52400000e-02, 3.76200000e-02, 2.71700000e-02,\n", - " 9.40500000e-02, 8.77800000e-02, 2.36170000e-01, 4.97420000e-01,\n", - " 7.94200000e-02, 8.25550000e-01, 2.61250000e-01, 1.05127000e+00,\n", - " 1.31670000e-01, 3.67422000e+00, 2.29900000e-02, 2.92600000e-02,\n", - " 9.61400000e-02, 6.89700000e-02, 1.54660000e-01, 3.76200000e-02,\n", - " 1.37940000e-01, 1.09934000e+00, 1.90817000e+00, 5.12050000e-01,\n", - " 3.57390000e-01, 3.13500000e-01, 1.25400000e-01, 5.35040000e-01,\n", - " 6.47900000e-02, 5.22500000e-02, 5.09960000e-01, 4.34720000e-01,\n", - " 2.09000000e-02, 0.00000000e+00, 9.61400000e-02, 9.82300000e-02,\n", - " 8.36000000e-03, 2.29900000e-02, 1.75560000e-01, 3.59480000e-01,\n", - " 2.13180000e-01, 6.89700000e-02, 7.10600000e-02, 5.26680000e-01,\n", - " 1.22474000e+00, 1.08889000e+00, 2.38260000e-01, 3.84560000e-01,\n", - " 4.49350000e-01, 5.01600000e-01, 5.64300000e-02, 1.17040000e-01,\n", - " 2.09000000e-02, 2.50800000e-02, 3.76200000e-02, 0.00000000e+00,\n", - " 1.04500000e-02, 2.92600000e-02, 4.24270000e-01, 1.10770000e-01,\n", - " 1.25400000e-02, 0.00000000e+00, 3.13500000e-02, 3.40670000e-01,\n", - " 2.71700000e-01, 9.69760000e-01, 1.27072000e+00, 2.36170000e-01,\n", - " 3.76200000e-02, 1.88100000e-02, 9.82300000e-02, 1.88100000e-02,\n", - " 5.62210000e-01, 4.36810000e-01, 1.33760000e-01, 1.08680000e-01,\n", - " 1.13905000e+00, 2.29900000e-01, 0.00000000e+00, 5.49670000e-01,\n", - " 3.61570000e-01, 1.78486000e+00, 2.88420000e-01, 8.54810000e-01,\n", - " 1.77650000e-01, 2.42440000e-01, 6.62530000e-01, 1.11188000e+00,\n", - " 9.94840000e-01, 1.99177000e+00, 2.96780000e-01, 1.27490000e-01,\n", - " 8.46450000e-01, 1.04918000e+00, 3.57390000e-01, 1.96460000e-01,\n", - " 4.18000000e-02, 1.67200000e-01, 3.11410000e-01, 2.17360000e-01,\n", - " 1.83920000e-01, 5.43400000e-01, 1.54660000e-01, 5.22500000e-02,\n", - " 1.03873000e+00, 8.84070000e-01, 7.75390000e-01, 8.10920000e-01,\n", - " 1.23310000e-01, 1.40030000e-01, 2.71700000e-02, 7.31500000e-02,\n", - " 1.50480000e-01, 2.88420000e-01, 0.00000000e+00, 0.00000000e+00,\n", - " 2.07537000e+00, 3.01796000e+00, 6.55215000e+00, 1.71380000e-01,\n", - " 1.88100000e-01, 1.02410000e-01, 2.29900000e-02, 2.50800000e-02,\n", - " 6.27000000e-02, 5.43400000e-02, 3.36490000e-01, 3.07230000e-01,\n", - " 2.88420000e-01, 8.36000000e-02, 2.16524000e+00, 3.96473000e+00,\n", - " 6.06100000e-02, 5.22500000e-02, 1.40030000e-01, 5.64300000e-02,\n", - " 6.27000000e-02, 1.48390000e-01, 2.80060000e-01, 1.00320000e-01,\n", - " 1.42120000e-01, 1.46300000e-01, 1.88100000e-02, 3.57390000e-01,\n", - " 4.59800000e-02, 1.10770000e-01, 1.31670000e-01, 3.40670000e-01,\n", - " 2.65430000e-01, 2.29900000e-02, 3.95010000e-01, 1.19130000e-01,\n", - " 8.56900000e-02, 9.40500000e-02, 2.21540000e-01, 1.12860000e-01,\n", - " 2.44530000e-01, 1.25400000e-02, 1.14950000e-01, 7.10600000e-02,\n", - " 1.00320000e-01, 3.55300000e-02, 4.09431000e+00, 1.04500000e-01,\n", - " 9.19600000e-02, 4.18000000e+00, 1.50480000e-01, 2.71700000e-02,\n", - " 0.00000000e+00, 2.71700000e-02, 1.25400000e-02, 1.04500000e-01,\n", - " 1.44210000e-01, 2.92600000e-02, 1.10770000e-01, 1.37940000e+00,\n", - " 8.79890000e-01, 1.06381000e+00, 3.71184000e+00, 3.22278000e+00,\n", - " 8.77800000e-02, 5.01600000e-02, 8.44360000e-01, 5.43400000e-01,\n", - " 1.83711000e+00, 1.30416000e+00, 1.88100000e-02, 4.59800000e-01,\n", - " 1.31670000e-01, 1.86637000e+00, 1.04500000e-02, 1.46300000e-02,\n", - " 2.29900000e-02, 1.04500000e-02, 6.58350000e-01, 5.20410000e-01,\n", - " 5.22500000e-01, 1.64065000e+00, 8.56900000e-02, 2.09000000e-02,\n", - " 8.17190000e-01, 2.71700000e-02, 8.56900000e-02, 1.31879000e+00,\n", - " 8.98700000e-02, 8.36000000e-02, 7.94200000e-02, 9.19600000e-02,\n", - " 4.80700000e-02, 1.06799000e+00, 6.06100000e-01, 1.88100000e-01,\n", - " 2.86330000e-01, 1.00320000e-01, 1.88100000e-02, 5.35040000e-01,\n", - " 3.34400000e-01, 7.62850000e-01, 7.52400000e-02, 1.33760000e-01,\n", - " 4.80700000e-02, 7.73300000e-02, 1.56750000e-01, 5.99830000e-01,\n", - " 1.69290000e-01, 6.16550000e-01, 2.36170000e-01, 8.77800000e-02,\n", - " 1.83920000e-01, 3.15590000e-01, 5.26680000e-01, 1.43792000e+00,\n", - " 1.60930000e-01, 7.62850000e-01, 7.10600000e-02, 6.89700000e-02,\n", - " 1.88100000e-01, 3.82470000e-01, 1.46300000e-01, 4.34720000e-01,\n", - " 2.92600000e-02, 9.82300000e-02, 5.43400000e-01, 2.84240000e-01,\n", - " 3.55300000e-02, 6.47900000e-02, 2.27810000e-01, 1.31670000e-01,\n", - " 2.48710000e-01, 1.67200000e-01, 2.29900000e-02, 7.31500000e-02,\n", - " 1.67200000e-02, 2.09000000e-03, 8.48540000e-01, 1.13487000e+00,\n", - " 5.43400000e-02, 3.97100000e-02, 2.51009000e+00, 1.13278000e+00,\n", - " 2.15270000e-01, 8.48540000e-01, 1.31670000e-01, 4.43080000e-01,\n", - " 5.85200000e-02, 5.22500000e-02, 5.91470000e-01, 7.10600000e-02,\n", - " 2.71700000e-02, 4.11730000e-01, 2.31990000e-01, 1.08680000e-01,\n", - " 9.57220000e-01, 3.34400000e-02, 7.73300000e-02, 3.97100000e-02,\n", - " 5.64300000e-02, 2.09000000e-02, 1.30625000e+00, 6.81340000e-01,\n", - " 7.73300000e-02, 3.55300000e-02, 5.55940000e-01, 5.85200000e-02,\n", - " 2.77970000e-01, 2.09000000e-03, 2.57070000e-01, 3.30220000e-01,\n", - " 9.40500000e-02, 3.11410000e-01, 5.22500000e-02, 1.66155000e+00,\n", - " 7.10600000e-02, 6.89700000e-02, 6.47900000e-02, 2.39096000e+00,\n", - " 7.31500000e-02, 1.73470000e-01, 1.88100000e-02, 1.04500000e-02,\n", - " 5.78930000e-01, 2.06910000e-01, 1.67200000e-02, 0.00000000e+00,\n", - " 7.35680000e-01, 3.80380000e-01, 1.09516000e+00, 4.76520000e-01,\n", - " 1.25400000e-02, 8.36000000e-03, 6.27000000e-02, 2.84240000e-01,\n", - " 3.36490000e-01, 5.22500000e-02, 0.00000000e+00, 1.88100000e-02,\n", - " 1.96460000e-01, 3.76200000e-02, 6.68800000e-02, 1.10770000e-01,\n", - " 7.33590000e-01, 4.80700000e-01, 1.46300000e-02, 5.01600000e-02,\n", - " 2.71700000e-02, 2.09000000e-02, 2.09000000e-02, 6.27000000e-02,\n", - " 6.27000000e-02, 8.04650000e-01, 7.67030000e-01, 5.85200000e-02,\n", - " 8.15100000e-02, 3.13500000e-02, 2.29900000e-02, 6.89700000e-02,\n", - " 2.09000000e-02, 2.09000000e-02, 1.42120000e-01, 1.08680000e-01,\n", - " 1.48390000e-01, 1.86010000e-01, 1.58631000e+00, 3.26040000e-01,\n", - " 2.88420000e-01, 3.00960000e-01, 5.62210000e-01, 4.18000000e-02,\n", - " 2.71700000e-01, 7.75390000e-01, 5.43400000e-02, 2.20704000e+00,\n", - " 1.65319000e+00, 1.01365000e+00, 1.12860000e-01, 3.13500000e-02,\n", - " 1.84965000e+00, 4.68160000e-01, 7.79570000e-01, 1.71380000e-01,\n", - " 3.97100000e-02, 6.39540000e-01, 5.14140000e-01, 2.09000000e-02,\n", - " 8.36000000e-03, 6.27000000e-03, 1.88100000e-01, 8.36000000e-03,\n", - " 8.71530000e-01, 1.86846000e+00, 8.36000000e-02, 1.71380000e-01,\n", - " 3.84560000e-01, 1.04500000e-02, 4.80700000e-02, 5.64300000e-01,\n", - " 6.06100000e-02, 1.00320000e-01, 2.15270000e-01, 1.17249000e+00,\n", - " 6.45810000e-01, 1.33760000e-01, 2.11090000e-01, 2.80060000e-01,\n", - " 3.13500000e-02, 1.42120000e-01, 1.79740000e-01, 7.52400000e-02,\n", - " 1.04500000e-02, 1.12860000e-01, 5.43400000e-02, 5.22500000e-02,\n", - " 1.19130000e-01, 1.48390000e-01, 2.19450000e-01, 5.85200000e-02,\n", - " 6.27000000e-03, 7.94200000e-02, 1.00947000e+00, 5.64300000e-02,\n", - " 4.93240000e-01, 5.01600000e-02, 1.79740000e-01, 1.02410000e+00,\n", - " 1.60721000e+00, 3.59480000e-01, 6.85520000e-01, 7.94200000e-02,\n", - " 7.31500000e-02, 5.22500000e-02, 3.82470000e-01, 6.27000000e-02,\n", - " 6.68800000e-02, 3.76200000e-02, 1.04500000e-01, 1.00320000e-01,\n", - " 1.06590000e+00, 3.07230000e-01, 1.21220000e-01, 2.09000000e-03,\n", - " 1.02410000e-01, 3.86650000e-01, 4.45170000e-01, 4.18000000e-01,\n", - " 3.97100000e-02, 1.54660000e-01, 2.92600000e-01, 5.22500000e-02,\n", - " 1.31670000e-01, 7.94200000e-02, 3.55300000e-02, 5.85200000e-02,\n", - " 1.27490000e-01, 9.82300000e-02, 8.56900000e-02, 1.67200000e-02,\n", - " 6.29090000e-01, 8.00470000e-01, 3.13500000e-02, 3.34400000e-02,\n", - " 7.31500000e-02, 2.33662000e+00, 1.26445000e+00, 2.71700000e-02,\n", - " 8.92430000e-01, 4.63980000e-01, 2.09000000e-03, 8.98700000e-02,\n", - " 5.01600000e-02, 4.26360000e-01, 6.27000000e-01, 8.61080000e-01,\n", - " 5.85200000e-02, 1.67409000e+00, 2.86330000e-01, 1.21220000e+00,\n", - " 1.56750000e-01, 2.19450000e-01, 9.34230000e-01, 7.06420000e-01,\n", - " 2.90510000e-01, 3.32310000e-01, 0.00000000e+00, 2.09000000e-01,\n", - " 1.86010000e-01, 2.50800000e-02, 1.25400000e-02, 2.29900000e-02,\n", - " 3.55300000e-02, 6.68800000e-02, 1.37940000e-01, 9.40500000e-02,\n", - " 7.94200000e-02, 3.74110000e-01, 4.07550000e-01, 8.36000000e-03,\n", - " 8.15100000e-02, 1.12860000e-01, 5.01600000e-02, 7.73300000e-02,\n", - " 4.18000000e-02, 1.35850000e-01, 3.49030000e-01, 5.01600000e-02,\n", - " 3.97100000e-02, 2.29064000e+00, 8.98700000e-02, 7.73300000e-02,\n", - " 6.68800000e-02, 4.28450000e-01, 9.82300000e-02, 3.55300000e-02,\n", - " 3.00960000e-01, 7.94200000e-02, 5.53850000e-01, 1.46300000e-01,\n", - " 1.25191000e+00, 9.04970000e-01, 8.56900000e-01, 7.73300000e-02,\n", - " 8.36000000e-03, 9.82300000e-02, 2.29900000e-02, 5.64300000e-02,\n", - " 1.16204000e+00, 6.06100000e-02, 6.27000000e-03, 3.34400000e-02,\n", - " 7.77480000e-01, 1.96460000e-01, 4.59800000e-02, 1.58840000e-01,\n", - " 7.69120000e-01, 1.39612000e+00, 2.55816000e+00, 2.96780000e-01,\n", - " 1.34596000e+00, 1.80785000e+00, 1.56750000e-01, 8.15100000e-02,\n", - " 2.19450000e-01, 3.06812000e+00, 1.63856000e+00, 8.36000000e-03,\n", - " 9.40500000e-02, 1.37940000e-01, 5.85200000e-02, 2.67520000e-01,\n", - " 1.21220000e-01, 2.09000000e-01, 2.31990000e-01, 1.23519000e+00,\n", - " 2.90510000e-01, 1.67200000e-02, 3.51120000e-01, 5.53850000e-01,\n", - " 3.32310000e-01, 2.90510000e-01, 1.88100000e-02, 1.60930000e-01,\n", - " 9.82300000e-02, 3.55300000e-02, 1.88100000e-02, 1.54451000e+00,\n", - " 1.12860000e-01, 4.38900000e-02, 1.46300000e-01, 2.80060000e-01,\n", - " 1.65319000e+00, 9.23780000e-01, 1.44210000e-01, 2.00640000e-01,\n", - " 8.10920000e-01, 1.14950000e-01, 1.96460000e-01, 6.27000000e-01,\n", - " 5.30860000e-01, 7.73300000e-02, 9.63490000e-01, 8.77800000e-02,\n", - " 1.91862000e+00, 1.02410000e-01, 3.07230000e-01, 1.46300000e-02,\n", - " 1.04500000e-02, 2.71700000e-02, 1.58840000e-01, 1.06590000e-01,\n", - " 1.71380000e-01, 9.40500000e-02, 7.31500000e-02, 8.98700000e-02,\n", - " 3.15590000e-01, 1.08680000e-01, 4.38900000e-02, 4.18000000e-01,\n", - " 3.55300000e-02, 1.34178000e+00, 3.23950000e-01, 3.30220000e-01,\n", - " 7.73300000e-02, 1.21220000e-01, 4.59800000e-02, 1.49226000e+00,\n", - " 5.85200000e-02, 2.71700000e-02, 3.11410000e-01, 2.76716000e+00,\n", - " 4.18000000e-02, 6.68800000e-02, 8.36000000e-03, 1.27908000e+00,\n", - " 2.09000000e-02, 2.88420000e-01, 4.18000000e-02, 1.15159000e+00,\n", - " 4.68160000e-01, 1.88100000e-02, 4.18000000e-03, 7.73300000e-01,\n", - " 1.46300000e-02, 1.27490000e-01, 4.26360000e-01, 1.12860000e-01,\n", - " 5.16230000e-01, 1.73470000e-01, 3.67840000e-01, 5.85200000e-02,\n", - " 1.08680000e-01, 1.88100000e-02, 1.59049000e+00, 1.63020000e+00,\n", - " 3.53210000e-01, 8.67350000e-01, 1.78068000e+00, 6.89700000e-02,\n", - " 1.04500000e-02, 3.55300000e-02, 7.31500000e-02, 9.40500000e-02,\n", - " 3.13500000e-02, 1.25400000e-02, 6.89700000e-02, 1.67200000e-01,\n", - " 2.31990000e-01, 6.89700000e-02, 3.76200000e-02, 3.55300000e-02,\n", - " 4.80700000e-02, 6.27000000e-03, 1.54660000e-01, 7.94200000e-02,\n", - " 3.76200000e-02, 1.94370000e-01, 1.67200000e-02, 2.98870000e-01,\n", - " 5.09960000e-01, 1.86010000e-01, 4.84880000e-01, 8.79890000e-01,\n", - " 2.77970000e-01, 1.33760000e+00, 1.46300000e-01, 2.57070000e-01,\n", - " 5.01600000e-01, 2.02730000e-01, 9.61400000e-02, 1.21220000e-01,\n", - " 5.43400000e-02, 6.89700000e-02, 2.09000000e-03, 7.73300000e-02,\n", - " 3.55300000e-02, 1.88100000e-02, 8.56900000e-02, 3.90830000e-01,\n", - " 9.19600000e-02, 7.52400000e-02, 3.13500000e-02, 1.35850000e-01,\n", - " 8.94520000e-01, 3.78290000e-01, 1.02410000e-01, 2.48710000e-01,\n", - " 7.31500000e-02, 1.83920000e+00, 1.29580000e-01, 6.24910000e-01,\n", - " 1.25400000e-01, 1.58840000e-01, 6.47900000e-02, 1.83920000e-01,\n", - " 9.61400000e-02, 6.89700000e-02, 2.34080000e-01, 1.25400000e-02,\n", - " 3.76200000e-02, 9.82300000e-02, 7.31500000e-02, 9.61400000e-02,\n", - " 2.71700000e-02, 1.40030000e-01, 8.36000000e-01, 2.40350000e-01,\n", - " 3.78290000e-01, 2.27810000e-01, 1.31670000e-01, 2.88420000e-01,\n", - " 9.63490000e-01, 7.33590000e-01, 5.43400000e-02, 2.17360000e-01,\n", - " 1.10770000e-01, 1.44210000e-01, 3.26040000e-01, 6.20730000e-01,\n", - " 6.27000000e-03, 1.04500000e-02, 7.37770000e-01, 7.60760000e-01,\n", - " 1.17040000e-01, 1.46300000e-02, 8.15100000e-02, 5.43400000e-02,\n", - " 6.27000000e-03, 1.46300000e-02, 6.27000000e-02, 7.31500000e-02,\n", - " 8.29730000e-01, 4.01280000e-01, 4.38900000e-02, 1.23310000e-01,\n", - " 8.61080000e-01, 5.01600000e-02, 1.56332000e+00, 7.52400000e-02,\n", - " 1.12651000e+00, 1.02410000e-01, 4.45170000e-01, 8.36000000e-03,\n", - " 2.71700000e-02, 7.10600000e-02, 2.92600000e-02, 4.74430000e-01,\n", - " 2.88420000e-01, 2.27810000e-01, 3.34400000e-02, 8.98700000e-02,\n", - " 6.27000000e-03, 3.84560000e-01, 1.06590000e-01, 1.25400000e-02,\n", - " 1.75560000e-01, 6.12370000e-01, 2.17360000e-01, 2.09000000e-03,\n", - " 9.07060000e-01, 6.27000000e-02, 6.39540000e-01, 1.04500000e-02,\n", - " 6.27000000e-03, 8.15100000e-02, 3.80380000e-01, 5.85200000e-02,\n", - " 1.58840000e-01, 3.69930000e-01, 1.88100000e-02, 2.50800000e-02,\n", - " 1.32088000e+00, 8.36000000e-03, 8.36000000e-03, 6.68800000e-02,\n", - " 7.73300000e-02, 6.68800000e-02, 2.29900000e-02, 1.12860000e-01,\n", - " 9.61400000e-02, 1.33760000e-01, 1.00320000e-01, 2.88420000e-01,\n", - " 5.20410000e-01, 3.97100000e-02, 2.09000000e-02, 5.43400000e-02,\n", - " 8.98700000e-02, 9.19600000e-02, 3.00960000e-01, 3.55300000e-02,\n", - " 1.88100000e-02, 1.02410000e-01, 5.32950000e-01, 1.73470000e-01,\n", - " 9.82300000e-02, 3.70348000e+00, 4.18000000e-03, 4.59800000e-02,\n", - " 4.38900000e-02, 1.25400000e-02, 1.46300000e-02, 1.88100000e-02,\n", - " 1.67200000e-02, 1.21220000e-01, 2.92600000e-02, 3.88740000e-01,\n", - " 2.01058000e+00, 1.14950000e-01, 3.97100000e-02, 1.35850000e-01,\n", - " 7.25230000e-01, 5.64300000e-02, 3.55300000e-02, 1.56750000e-01,\n", - " 3.13500000e-02, 1.81830000e-01, 3.09320000e-01, 2.52890000e-01,\n", - " 2.29900000e-02, 1.17040000e-01, 8.15100000e-02, 6.06100000e-02,\n", - " 9.82300000e-02, 5.47580000e-01, 1.17040000e-01, 1.90190000e-01,\n", - " 3.09320000e-01, 3.76200000e-01, 2.92600000e-02, 8.36000000e-02,\n", - " 3.46940000e-01, 3.17680000e-01, 1.13278000e+00, 2.71700000e-02,\n", - " 4.15910000e-01, 5.01600000e-02, 1.23310000e-01, 1.73470000e-01,\n", - " 4.18000000e-02, 1.73470000e-01, 6.27000000e-02, 5.22500000e-02,\n", - " 1.46300000e-01, 1.65110000e-01, 3.76200000e-02, 1.67200000e-02,\n", - " 1.33760000e-01, 2.36170000e-01, 1.48390000e-01, 9.82300000e-02,\n", - " 5.64300000e-02, 6.27000000e-03, 2.38260000e-01, 6.70890000e-01,\n", - " 8.98700000e-02, 4.59800000e-02, 2.09000000e-03, 1.37940000e-01,\n", - " 9.82300000e-02, 3.13500000e-02, 3.76200000e-02, 1.65110000e-01,\n", - " 5.01600000e-02, 1.07008000e+00, 9.82300000e-02, 3.76200000e-02,\n", - " 0.00000000e+00, 2.13180000e-01, 5.01600000e-02, 6.68800000e-02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.59941524e+03, -2.52731782e+03, -1.54099329e+01, 6.81300398e+01,\n", - " 0.00000000e+00, 2.30834094e+01, 1.97207849e+02, 6.60403541e+02,\n", - " -8.11192447e+01, -2.91939661e+01, 9.66694832e+01, 1.21444867e+03,\n", - " -1.35605151e+03, -5.56549108e+02, 3.92493882e+02]), array([ 1.40030000e-01, 6.54170000e-01, 1.27699000e+00, 9.04970000e-01,\n", - " 4.80700000e-02, 8.77800000e-02, 5.85200000e-02, 1.23310000e-01,\n", - " 2.02730000e-01, 3.13500000e-02, 1.23310000e-01, 9.82300000e-02,\n", - " 2.19868000e+00, 8.36000000e-03, 2.92600000e-02, 1.88100000e-02,\n", - " 1.09725000e+00, 7.90020000e-01, 1.19130000e-01, 1.86010000e-01,\n", - " 4.38900000e-02, 2.29900000e-02, 1.25400000e-02, 0.00000000e+00,\n", - " 4.18000000e-02, 1.37940000e-01, 1.04500000e-02, 8.04650000e-01,\n", - " 1.56750000e-01, 6.45810000e-01, 3.42760000e-01, 2.61250000e-01,\n", - " 2.88420000e-01, 1.25400000e-02, 0.00000000e+00, 1.46300000e-02,\n", - " 1.63020000e-01, 7.52400000e-02, 3.76200000e-02, 2.71700000e-02,\n", - " 9.40500000e-02, 8.77800000e-02, 2.36170000e-01, 4.97420000e-01,\n", - " 7.94200000e-02, 8.25550000e-01, 2.61250000e-01, 1.05127000e+00,\n", - " 1.31670000e-01, 3.67422000e+00, 2.29900000e-02, 2.92600000e-02,\n", - " 9.61400000e-02, 6.89700000e-02, 1.54660000e-01, 3.76200000e-02,\n", - " 1.37940000e-01, 1.09934000e+00, 1.90817000e+00, 5.12050000e-01,\n", - " 3.57390000e-01, 3.13500000e-01, 1.25400000e-01, 5.35040000e-01,\n", - " 6.47900000e-02, 5.22500000e-02, 5.09960000e-01, 4.34720000e-01,\n", - " 2.09000000e-02, 0.00000000e+00, 9.61400000e-02, 9.82300000e-02,\n", - " 8.36000000e-03, 2.29900000e-02, 1.75560000e-01, 3.59480000e-01,\n", - " 2.13180000e-01, 6.89700000e-02, 7.10600000e-02, 5.26680000e-01,\n", - " 1.22474000e+00, 1.08889000e+00, 2.38260000e-01, 3.84560000e-01,\n", - " 4.49350000e-01, 5.01600000e-01, 5.64300000e-02, 1.17040000e-01,\n", - " 2.09000000e-02, 2.50800000e-02, 3.76200000e-02, 0.00000000e+00,\n", - " 1.04500000e-02, 2.92600000e-02, 4.24270000e-01, 1.10770000e-01,\n", - " 1.25400000e-02, 0.00000000e+00, 3.13500000e-02, 3.40670000e-01,\n", - " 2.71700000e-01, 9.69760000e-01, 1.27072000e+00, 2.36170000e-01,\n", - " 3.76200000e-02, 1.88100000e-02, 9.82300000e-02, 1.88100000e-02,\n", - " 5.62210000e-01, 4.36810000e-01, 1.33760000e-01, 1.08680000e-01,\n", - " 1.13905000e+00, 2.29900000e-01, 0.00000000e+00, 5.49670000e-01,\n", - " 3.61570000e-01, 1.78486000e+00, 2.88420000e-01, 8.54810000e-01,\n", - " 1.77650000e-01, 2.42440000e-01, 6.62530000e-01, 1.11188000e+00,\n", - " 9.94840000e-01, 1.99177000e+00, 2.96780000e-01, 1.27490000e-01,\n", - " 8.46450000e-01, 1.04918000e+00, 3.57390000e-01, 1.96460000e-01,\n", - " 4.18000000e-02, 1.67200000e-01, 3.11410000e-01, 2.17360000e-01,\n", - " 1.83920000e-01, 5.43400000e-01, 1.54660000e-01, 5.22500000e-02,\n", - " 1.03873000e+00, 8.84070000e-01, 7.75390000e-01, 8.10920000e-01,\n", - " 1.23310000e-01, 1.40030000e-01, 2.71700000e-02, 7.31500000e-02,\n", - " 1.50480000e-01, 2.88420000e-01, 0.00000000e+00, 0.00000000e+00,\n", - " 2.07537000e+00, 3.01796000e+00, 6.55215000e+00, 1.71380000e-01,\n", - " 1.88100000e-01, 1.02410000e-01, 2.29900000e-02, 2.50800000e-02,\n", - " 6.27000000e-02, 5.43400000e-02, 3.36490000e-01, 3.07230000e-01,\n", - " 2.88420000e-01, 8.36000000e-02, 2.16524000e+00, 3.96473000e+00,\n", - " 6.06100000e-02, 5.22500000e-02, 1.40030000e-01, 5.64300000e-02,\n", - " 6.27000000e-02, 1.48390000e-01, 2.80060000e-01, 1.00320000e-01,\n", - " 1.42120000e-01, 1.46300000e-01, 1.88100000e-02, 3.57390000e-01,\n", - " 4.59800000e-02, 1.10770000e-01, 1.31670000e-01, 3.40670000e-01,\n", - " 2.65430000e-01, 2.29900000e-02, 3.95010000e-01, 1.19130000e-01,\n", - " 8.56900000e-02, 9.40500000e-02, 2.21540000e-01, 1.12860000e-01,\n", - " 2.44530000e-01, 1.25400000e-02, 1.14950000e-01, 7.10600000e-02,\n", - " 1.00320000e-01, 3.55300000e-02, 4.09431000e+00, 1.04500000e-01,\n", - " 9.19600000e-02, 4.18000000e+00, 1.50480000e-01, 2.71700000e-02,\n", - " 0.00000000e+00, 2.71700000e-02, 1.25400000e-02, 1.04500000e-01,\n", - " 1.44210000e-01, 2.92600000e-02, 1.10770000e-01, 1.37940000e+00,\n", - " 8.79890000e-01, 1.06381000e+00, 3.71184000e+00, 3.22278000e+00,\n", - " 8.77800000e-02, 5.01600000e-02, 8.44360000e-01, 5.43400000e-01,\n", - " 1.83711000e+00, 1.30416000e+00, 1.88100000e-02, 4.59800000e-01,\n", - " 1.31670000e-01, 1.86637000e+00, 1.04500000e-02, 1.46300000e-02,\n", - " 2.29900000e-02, 1.04500000e-02, 6.58350000e-01, 5.20410000e-01,\n", - " 5.22500000e-01, 1.64065000e+00, 8.56900000e-02, 2.09000000e-02,\n", - " 8.17190000e-01, 2.71700000e-02, 8.56900000e-02, 1.31879000e+00,\n", - " 8.98700000e-02, 8.36000000e-02, 7.94200000e-02, 9.19600000e-02,\n", - " 4.80700000e-02, 1.06799000e+00, 6.06100000e-01, 1.88100000e-01,\n", - " 2.86330000e-01, 1.00320000e-01, 1.88100000e-02, 5.35040000e-01,\n", - " 3.34400000e-01, 7.62850000e-01, 7.52400000e-02, 1.33760000e-01,\n", - " 4.80700000e-02, 7.73300000e-02, 1.56750000e-01, 5.99830000e-01,\n", - " 1.69290000e-01, 6.16550000e-01, 2.36170000e-01, 8.77800000e-02,\n", - " 1.83920000e-01, 3.15590000e-01, 5.26680000e-01, 1.43792000e+00,\n", - " 1.60930000e-01, 7.62850000e-01, 7.10600000e-02, 6.89700000e-02,\n", - " 1.88100000e-01, 3.82470000e-01, 1.46300000e-01, 4.34720000e-01,\n", - " 2.92600000e-02, 9.82300000e-02, 5.43400000e-01, 2.84240000e-01,\n", - " 3.55300000e-02, 6.47900000e-02, 2.27810000e-01, 1.31670000e-01,\n", - " 2.48710000e-01, 1.67200000e-01, 2.29900000e-02, 7.31500000e-02,\n", - " 1.67200000e-02, 2.09000000e-03, 8.48540000e-01, 1.13487000e+00,\n", - " 5.43400000e-02, 3.97100000e-02, 2.51009000e+00, 1.13278000e+00,\n", - " 2.15270000e-01, 8.48540000e-01, 1.31670000e-01, 4.43080000e-01,\n", - " 5.85200000e-02, 5.22500000e-02, 5.91470000e-01, 7.10600000e-02,\n", - " 2.71700000e-02, 4.11730000e-01, 2.31990000e-01, 1.08680000e-01,\n", - " 9.57220000e-01, 3.34400000e-02, 7.73300000e-02, 3.97100000e-02,\n", - " 5.64300000e-02, 2.09000000e-02, 1.30625000e+00, 6.81340000e-01,\n", - " 7.73300000e-02, 3.55300000e-02, 5.55940000e-01, 5.85200000e-02,\n", - " 2.77970000e-01, 2.09000000e-03, 2.57070000e-01, 3.30220000e-01,\n", - " 9.40500000e-02, 3.11410000e-01, 5.22500000e-02, 1.66155000e+00,\n", - " 7.10600000e-02, 6.89700000e-02, 6.47900000e-02, 2.39096000e+00,\n", - " 7.31500000e-02, 1.73470000e-01, 1.88100000e-02, 1.04500000e-02,\n", - " 5.78930000e-01, 2.06910000e-01, 1.67200000e-02, 0.00000000e+00,\n", - " 7.35680000e-01, 3.80380000e-01, 1.09516000e+00, 4.76520000e-01,\n", - " 1.25400000e-02, 8.36000000e-03, 6.27000000e-02, 2.84240000e-01,\n", - " 3.36490000e-01, 5.22500000e-02, 0.00000000e+00, 1.88100000e-02,\n", - " 1.96460000e-01, 3.76200000e-02, 6.68800000e-02, 1.10770000e-01,\n", - " 7.33590000e-01, 4.80700000e-01, 1.46300000e-02, 5.01600000e-02,\n", - " 2.71700000e-02, 2.09000000e-02, 2.09000000e-02, 6.27000000e-02,\n", - " 6.27000000e-02, 8.04650000e-01, 7.67030000e-01, 5.85200000e-02,\n", - " 8.15100000e-02, 3.13500000e-02, 2.29900000e-02, 6.89700000e-02,\n", - " 2.09000000e-02, 2.09000000e-02, 1.42120000e-01, 1.08680000e-01,\n", - " 1.48390000e-01, 1.86010000e-01, 1.58631000e+00, 3.26040000e-01,\n", - " 2.88420000e-01, 3.00960000e-01, 5.62210000e-01, 4.18000000e-02,\n", - " 2.71700000e-01, 7.75390000e-01, 5.43400000e-02, 2.20704000e+00,\n", - " 1.65319000e+00, 1.01365000e+00, 1.12860000e-01, 3.13500000e-02,\n", - " 1.84965000e+00, 4.68160000e-01, 7.79570000e-01, 1.71380000e-01,\n", - " 3.97100000e-02, 6.39540000e-01, 5.14140000e-01, 2.09000000e-02,\n", - " 8.36000000e-03, 6.27000000e-03, 1.88100000e-01, 8.36000000e-03,\n", - " 8.71530000e-01, 1.86846000e+00, 8.36000000e-02, 1.71380000e-01,\n", - " 3.84560000e-01, 1.04500000e-02, 4.80700000e-02, 5.64300000e-01,\n", - " 6.06100000e-02, 1.00320000e-01, 2.15270000e-01, 1.17249000e+00,\n", - " 6.45810000e-01, 1.33760000e-01, 2.11090000e-01, 2.80060000e-01,\n", - " 3.13500000e-02, 1.42120000e-01, 1.79740000e-01, 7.52400000e-02,\n", - " 1.04500000e-02, 1.12860000e-01, 5.43400000e-02, 5.22500000e-02,\n", - " 1.19130000e-01, 1.48390000e-01, 2.19450000e-01, 5.85200000e-02,\n", - " 6.27000000e-03, 7.94200000e-02, 1.00947000e+00, 5.64300000e-02,\n", - " 4.93240000e-01, 5.01600000e-02, 1.79740000e-01, 1.02410000e+00,\n", - " 1.60721000e+00, 3.59480000e-01, 6.85520000e-01, 7.94200000e-02,\n", - " 7.31500000e-02, 5.22500000e-02, 3.82470000e-01, 6.27000000e-02,\n", - " 6.68800000e-02, 3.76200000e-02, 1.04500000e-01, 1.00320000e-01,\n", - " 1.06590000e+00, 3.07230000e-01, 1.21220000e-01, 2.09000000e-03,\n", - " 1.02410000e-01, 3.86650000e-01, 4.45170000e-01, 4.18000000e-01,\n", - " 3.97100000e-02, 1.54660000e-01, 2.92600000e-01, 5.22500000e-02,\n", - " 1.31670000e-01, 7.94200000e-02, 3.55300000e-02, 5.85200000e-02,\n", - " 1.27490000e-01, 9.82300000e-02, 8.56900000e-02, 1.67200000e-02,\n", - " 6.29090000e-01, 8.00470000e-01, 3.13500000e-02, 3.34400000e-02,\n", - " 7.31500000e-02, 2.33662000e+00, 1.26445000e+00, 2.71700000e-02,\n", - " 8.92430000e-01, 4.63980000e-01, 2.09000000e-03, 8.98700000e-02,\n", - " 5.01600000e-02, 4.26360000e-01, 6.27000000e-01, 8.61080000e-01,\n", - " 5.85200000e-02, 1.67409000e+00, 2.86330000e-01, 1.21220000e+00,\n", - " 1.56750000e-01, 2.19450000e-01, 9.34230000e-01, 7.06420000e-01,\n", - " 2.90510000e-01, 3.32310000e-01, 0.00000000e+00, 2.09000000e-01,\n", - " 1.86010000e-01, 2.50800000e-02, 1.25400000e-02, 2.29900000e-02,\n", - " 3.55300000e-02, 6.68800000e-02, 1.37940000e-01, 9.40500000e-02,\n", - " 7.94200000e-02, 3.74110000e-01, 4.07550000e-01, 8.36000000e-03,\n", - " 8.15100000e-02, 1.12860000e-01, 5.01600000e-02, 7.73300000e-02,\n", - " 4.18000000e-02, 1.35850000e-01, 3.49030000e-01, 5.01600000e-02,\n", - " 3.97100000e-02, 2.29064000e+00, 8.98700000e-02, 7.73300000e-02,\n", - " 6.68800000e-02, 4.28450000e-01, 9.82300000e-02, 3.55300000e-02,\n", - " 3.00960000e-01, 7.94200000e-02, 5.53850000e-01, 1.46300000e-01,\n", - " 1.25191000e+00, 9.04970000e-01, 8.56900000e-01, 7.73300000e-02,\n", - " 8.36000000e-03, 9.82300000e-02, 2.29900000e-02, 5.64300000e-02,\n", - " 1.16204000e+00, 6.06100000e-02, 6.27000000e-03, 3.34400000e-02,\n", - " 7.77480000e-01, 1.96460000e-01, 4.59800000e-02, 1.58840000e-01,\n", - " 7.69120000e-01, 1.39612000e+00, 2.55816000e+00, 2.96780000e-01,\n", - " 1.34596000e+00, 1.80785000e+00, 1.56750000e-01, 8.15100000e-02,\n", - " 2.19450000e-01, 3.06812000e+00, 1.63856000e+00, 8.36000000e-03,\n", - " 9.40500000e-02, 1.37940000e-01, 5.85200000e-02, 2.67520000e-01,\n", - " 1.21220000e-01, 2.09000000e-01, 2.31990000e-01, 1.23519000e+00,\n", - " 2.90510000e-01, 1.67200000e-02, 3.51120000e-01, 5.53850000e-01,\n", - " 3.32310000e-01, 2.90510000e-01, 1.88100000e-02, 1.60930000e-01,\n", - " 9.82300000e-02, 3.55300000e-02, 1.88100000e-02, 1.54451000e+00,\n", - " 1.12860000e-01, 4.38900000e-02, 1.46300000e-01, 2.80060000e-01,\n", - " 1.65319000e+00, 9.23780000e-01, 1.44210000e-01, 2.00640000e-01,\n", - " 8.10920000e-01, 1.14950000e-01, 1.96460000e-01, 6.27000000e-01,\n", - " 5.30860000e-01, 7.73300000e-02, 9.63490000e-01, 8.77800000e-02,\n", - " 1.91862000e+00, 1.02410000e-01, 3.07230000e-01, 1.46300000e-02,\n", - " 1.04500000e-02, 2.71700000e-02, 1.58840000e-01, 1.06590000e-01,\n", - " 1.71380000e-01, 9.40500000e-02, 7.31500000e-02, 8.98700000e-02,\n", - " 3.15590000e-01, 1.08680000e-01, 4.38900000e-02, 4.18000000e-01,\n", - " 3.55300000e-02, 1.34178000e+00, 3.23950000e-01, 3.30220000e-01,\n", - " 7.73300000e-02, 1.21220000e-01, 4.59800000e-02, 1.49226000e+00,\n", - " 5.85200000e-02, 2.71700000e-02, 3.11410000e-01, 2.76716000e+00,\n", - " 4.18000000e-02, 6.68800000e-02, 8.36000000e-03, 1.27908000e+00,\n", - " 2.09000000e-02, 2.88420000e-01, 4.18000000e-02, 1.15159000e+00,\n", - " 4.68160000e-01, 1.88100000e-02, 4.18000000e-03, 7.73300000e-01,\n", - " 1.46300000e-02, 1.27490000e-01, 4.26360000e-01, 1.12860000e-01,\n", - " 5.16230000e-01, 1.73470000e-01, 3.67840000e-01, 5.85200000e-02,\n", - " 1.08680000e-01, 1.88100000e-02, 1.59049000e+00, 1.63020000e+00,\n", - " 3.53210000e-01, 8.67350000e-01, 1.78068000e+00, 6.89700000e-02,\n", - " 1.04500000e-02, 3.55300000e-02, 7.31500000e-02, 9.40500000e-02,\n", - " 3.13500000e-02, 1.25400000e-02, 6.89700000e-02, 1.67200000e-01,\n", - " 2.31990000e-01, 6.89700000e-02, 3.76200000e-02, 3.55300000e-02,\n", - " 4.80700000e-02, 6.27000000e-03, 1.54660000e-01, 7.94200000e-02,\n", - " 3.76200000e-02, 1.94370000e-01, 1.67200000e-02, 2.98870000e-01,\n", - " 5.09960000e-01, 1.86010000e-01, 4.84880000e-01, 8.79890000e-01,\n", - " 2.77970000e-01, 1.33760000e+00, 1.46300000e-01, 2.57070000e-01,\n", - " 5.01600000e-01, 2.02730000e-01, 9.61400000e-02, 1.21220000e-01,\n", - " 5.43400000e-02, 6.89700000e-02, 2.09000000e-03, 7.73300000e-02,\n", - " 3.55300000e-02, 1.88100000e-02, 8.56900000e-02, 3.90830000e-01,\n", - " 9.19600000e-02, 7.52400000e-02, 3.13500000e-02, 1.35850000e-01,\n", - " 8.94520000e-01, 3.78290000e-01, 1.02410000e-01, 2.48710000e-01,\n", - " 7.31500000e-02, 1.83920000e+00, 1.29580000e-01, 6.24910000e-01,\n", - " 1.25400000e-01, 1.58840000e-01, 6.47900000e-02, 1.83920000e-01,\n", - " 9.61400000e-02, 6.89700000e-02, 2.34080000e-01, 1.25400000e-02,\n", - " 3.76200000e-02, 9.82300000e-02, 7.31500000e-02, 9.61400000e-02,\n", - " 2.71700000e-02, 1.40030000e-01, 8.36000000e-01, 2.40350000e-01,\n", - " 3.78290000e-01, 2.27810000e-01, 1.31670000e-01, 2.88420000e-01,\n", - " 9.63490000e-01, 7.33590000e-01, 5.43400000e-02, 2.17360000e-01,\n", - " 1.10770000e-01, 1.44210000e-01, 3.26040000e-01, 6.20730000e-01,\n", - " 6.27000000e-03, 1.04500000e-02, 7.37770000e-01, 7.60760000e-01,\n", - " 1.17040000e-01, 1.46300000e-02, 8.15100000e-02, 5.43400000e-02,\n", - " 6.27000000e-03, 1.46300000e-02, 6.27000000e-02, 7.31500000e-02,\n", - " 8.29730000e-01, 4.01280000e-01, 4.38900000e-02, 1.23310000e-01,\n", - " 8.61080000e-01, 5.01600000e-02, 1.56332000e+00, 7.52400000e-02,\n", - " 1.12651000e+00, 1.02410000e-01, 4.45170000e-01, 8.36000000e-03,\n", - " 2.71700000e-02, 7.10600000e-02, 2.92600000e-02, 4.74430000e-01,\n", - " 2.88420000e-01, 2.27810000e-01, 3.34400000e-02, 8.98700000e-02,\n", - " 6.27000000e-03, 3.84560000e-01, 1.06590000e-01, 1.25400000e-02,\n", - " 1.75560000e-01, 6.12370000e-01, 2.17360000e-01, 2.09000000e-03,\n", - " 9.07060000e-01, 6.27000000e-02, 6.39540000e-01, 1.04500000e-02,\n", - " 6.27000000e-03, 8.15100000e-02, 3.80380000e-01, 5.85200000e-02,\n", - " 1.58840000e-01, 3.69930000e-01, 1.88100000e-02, 2.50800000e-02,\n", - " 1.32088000e+00, 8.36000000e-03, 8.36000000e-03, 6.68800000e-02,\n", - " 7.73300000e-02, 6.68800000e-02, 2.29900000e-02, 1.12860000e-01,\n", - " 9.61400000e-02, 1.33760000e-01, 1.00320000e-01, 2.88420000e-01,\n", - " 5.20410000e-01, 3.97100000e-02, 2.09000000e-02, 5.43400000e-02,\n", - " 8.98700000e-02, 9.19600000e-02, 3.00960000e-01, 3.55300000e-02,\n", - " 1.88100000e-02, 1.02410000e-01, 5.32950000e-01, 1.73470000e-01,\n", - " 9.82300000e-02, 3.70348000e+00, 4.18000000e-03, 4.59800000e-02,\n", - " 4.38900000e-02, 1.25400000e-02, 1.46300000e-02, 1.88100000e-02,\n", - " 1.67200000e-02, 1.21220000e-01, 2.92600000e-02, 3.88740000e-01,\n", - " 2.01058000e+00, 1.14950000e-01, 3.97100000e-02, 1.35850000e-01,\n", - " 7.25230000e-01, 5.64300000e-02, 3.55300000e-02, 1.56750000e-01,\n", - " 3.13500000e-02, 1.81830000e-01, 3.09320000e-01, 2.52890000e-01,\n", - " 2.29900000e-02, 1.17040000e-01, 8.15100000e-02, 6.06100000e-02,\n", - " 9.82300000e-02, 5.47580000e-01, 1.17040000e-01, 1.90190000e-01,\n", - " 3.09320000e-01, 3.76200000e-01, 2.92600000e-02, 8.36000000e-02,\n", - " 3.46940000e-01, 3.17680000e-01, 1.13278000e+00, 2.71700000e-02,\n", - " 4.15910000e-01, 5.01600000e-02, 1.23310000e-01, 1.73470000e-01,\n", - " 4.18000000e-02, 1.73470000e-01, 6.27000000e-02, 5.22500000e-02,\n", - " 1.46300000e-01, 1.65110000e-01, 3.76200000e-02, 1.67200000e-02,\n", - " 1.33760000e-01, 2.36170000e-01, 1.48390000e-01, 9.82300000e-02,\n", - " 5.64300000e-02, 6.27000000e-03, 2.38260000e-01, 6.70890000e-01,\n", - " 8.98700000e-02, 4.59800000e-02, 2.09000000e-03, 1.37940000e-01,\n", - " 9.82300000e-02, 3.13500000e-02, 3.76200000e-02, 1.65110000e-01,\n", - " 5.01600000e-02, 1.07008000e+00, 9.82300000e-02, 3.76200000e-02,\n", - " 0.00000000e+00, 2.13180000e-01, 5.01600000e-02, 6.68800000e-02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.59644784e+03, -2.52731782e+03, -1.54099432e+01, 6.76605333e+01,\n", - " 0.00000000e+00, 2.31672650e+01, 1.96890255e+02, 6.09846334e+02,\n", - " 0.00000000e+00, -2.91939686e+01, 8.27088413e+01, 1.08604639e+03,\n", - " -1.22237656e+03, 1.13252976e+03, -1.31478809e+03]), array([ 1.40030000e-01, 6.54170000e-01, 1.27699000e+00, 9.04970000e-01,\n", - " 4.80700000e-02, 8.77800000e-02, 5.85200000e-02, 1.23310000e-01,\n", - " 2.02730000e-01, 3.13500000e-02, 1.23310000e-01, 9.82300000e-02,\n", - " 2.19868000e+00, 8.36000000e-03, 2.92600000e-02, 1.88100000e-02,\n", - " 1.09725000e+00, 7.90020000e-01, 1.19130000e-01, 1.86010000e-01,\n", - " 4.38900000e-02, 2.29900000e-02, 1.25400000e-02, 0.00000000e+00,\n", - " 4.18000000e-02, 1.37940000e-01, 1.04500000e-02, 8.04650000e-01,\n", - " 1.56750000e-01, 6.45810000e-01, 3.42760000e-01, 2.61250000e-01,\n", - " 2.88420000e-01, 1.25400000e-02, 0.00000000e+00, 1.46300000e-02,\n", - " 1.63020000e-01, 7.52400000e-02, 3.76200000e-02, 2.71700000e-02,\n", - " 9.40500000e-02, 8.77800000e-02, 2.36170000e-01, 4.97420000e-01,\n", - " 7.94200000e-02, 8.25550000e-01, 2.61250000e-01, 1.05127000e+00,\n", - " 1.31670000e-01, 3.67422000e+00, 2.29900000e-02, 2.92600000e-02,\n", - " 9.61400000e-02, 6.89700000e-02, 1.54660000e-01, 3.76200000e-02,\n", - " 1.37940000e-01, 1.09934000e+00, 1.90817000e+00, 5.12050000e-01,\n", - " 3.57390000e-01, 3.13500000e-01, 1.25400000e-01, 5.35040000e-01,\n", - " 6.47900000e-02, 5.22500000e-02, 5.09960000e-01, 4.34720000e-01,\n", - " 2.09000000e-02, 0.00000000e+00, 9.61400000e-02, 9.82300000e-02,\n", - " 8.36000000e-03, 2.29900000e-02, 1.75560000e-01, 3.59480000e-01,\n", - " 2.13180000e-01, 6.89700000e-02, 7.10600000e-02, 5.26680000e-01,\n", - " 1.22474000e+00, 1.08889000e+00, 2.38260000e-01, 3.84560000e-01,\n", - " 4.49350000e-01, 5.01600000e-01, 5.64300000e-02, 1.17040000e-01,\n", - " 2.09000000e-02, 2.50800000e-02, 3.76200000e-02, 0.00000000e+00,\n", - " 1.04500000e-02, 2.92600000e-02, 4.24270000e-01, 1.10770000e-01,\n", - " 1.25400000e-02, 0.00000000e+00, 3.13500000e-02, 3.40670000e-01,\n", - " 2.71700000e-01, 9.69760000e-01, 1.27072000e+00, 2.36170000e-01,\n", - " 3.76200000e-02, 1.88100000e-02, 9.82300000e-02, 1.88100000e-02,\n", - " 5.62210000e-01, 4.36810000e-01, 1.33760000e-01, 1.08680000e-01,\n", - " 1.13905000e+00, 2.29900000e-01, 0.00000000e+00, 5.49670000e-01,\n", - " 3.61570000e-01, 1.78486000e+00, 2.88420000e-01, 8.54810000e-01,\n", - " 1.77650000e-01, 2.42440000e-01, 6.62530000e-01, 1.11188000e+00,\n", - " 9.94840000e-01, 1.99177000e+00, 2.96780000e-01, 1.27490000e-01,\n", - " 8.46450000e-01, 1.04918000e+00, 3.57390000e-01, 1.96460000e-01,\n", - " 4.18000000e-02, 1.67200000e-01, 3.11410000e-01, 2.17360000e-01,\n", - " 1.83920000e-01, 5.43400000e-01, 1.54660000e-01, 5.22500000e-02,\n", - " 1.03873000e+00, 8.84070000e-01, 7.75390000e-01, 8.10920000e-01,\n", - " 1.23310000e-01, 1.40030000e-01, 2.71700000e-02, 7.31500000e-02,\n", - " 1.50480000e-01, 2.88420000e-01, 0.00000000e+00, 0.00000000e+00,\n", - " 2.07537000e+00, 3.01796000e+00, 6.55215000e+00, 1.71380000e-01,\n", - " 1.88100000e-01, 1.02410000e-01, 2.29900000e-02, 2.50800000e-02,\n", - " 6.27000000e-02, 5.43400000e-02, 3.36490000e-01, 3.07230000e-01,\n", - " 2.88420000e-01, 8.36000000e-02, 2.16524000e+00, 3.96473000e+00,\n", - " 6.06100000e-02, 5.22500000e-02, 1.40030000e-01, 5.64300000e-02,\n", - " 6.27000000e-02, 1.48390000e-01, 2.80060000e-01, 1.00320000e-01,\n", - " 1.42120000e-01, 1.46300000e-01, 1.88100000e-02, 3.57390000e-01,\n", - " 4.59800000e-02, 1.10770000e-01, 1.31670000e-01, 3.40670000e-01,\n", - " 2.65430000e-01, 2.29900000e-02, 3.95010000e-01, 1.19130000e-01,\n", - " 8.56900000e-02, 9.40500000e-02, 2.21540000e-01, 1.12860000e-01,\n", - " 2.44530000e-01, 1.25400000e-02, 1.14950000e-01, 7.10600000e-02,\n", - " 1.00320000e-01, 3.55300000e-02, 4.09431000e+00, 1.04500000e-01,\n", - " 9.19600000e-02, 4.18000000e+00, 1.50480000e-01, 2.71700000e-02,\n", - " 0.00000000e+00, 2.71700000e-02, 1.25400000e-02, 1.04500000e-01,\n", - " 1.44210000e-01, 2.92600000e-02, 1.10770000e-01, 1.37940000e+00,\n", - " 8.79890000e-01, 1.06381000e+00, 3.71184000e+00, 3.22278000e+00,\n", - " 8.77800000e-02, 5.01600000e-02, 8.44360000e-01, 5.43400000e-01,\n", - " 1.83711000e+00, 1.30416000e+00, 1.88100000e-02, 4.59800000e-01,\n", - " 1.31670000e-01, 1.86637000e+00, 1.04500000e-02, 1.46300000e-02,\n", - " 2.29900000e-02, 1.04500000e-02, 6.58350000e-01, 5.20410000e-01,\n", - " 5.22500000e-01, 1.64065000e+00, 8.56900000e-02, 2.09000000e-02,\n", - " 8.17190000e-01, 2.71700000e-02, 8.56900000e-02, 1.31879000e+00,\n", - " 8.98700000e-02, 8.36000000e-02, 7.94200000e-02, 9.19600000e-02,\n", - " 4.80700000e-02, 1.06799000e+00, 6.06100000e-01, 1.88100000e-01,\n", - " 2.86330000e-01, 1.00320000e-01, 1.88100000e-02, 5.35040000e-01,\n", - " 3.34400000e-01, 7.62850000e-01, 7.52400000e-02, 1.33760000e-01,\n", - " 4.80700000e-02, 7.73300000e-02, 1.56750000e-01, 5.99830000e-01,\n", - " 1.69290000e-01, 6.16550000e-01, 2.36170000e-01, 8.77800000e-02,\n", - " 1.83920000e-01, 3.15590000e-01, 5.26680000e-01, 1.43792000e+00,\n", - " 1.60930000e-01, 7.62850000e-01, 7.10600000e-02, 6.89700000e-02,\n", - " 1.88100000e-01, 3.82470000e-01, 1.46300000e-01, 4.34720000e-01,\n", - " 2.92600000e-02, 9.82300000e-02, 5.43400000e-01, 2.84240000e-01,\n", - " 3.55300000e-02, 6.47900000e-02, 2.27810000e-01, 1.31670000e-01,\n", - " 2.48710000e-01, 1.67200000e-01, 2.29900000e-02, 7.31500000e-02,\n", - " 1.67200000e-02, 2.09000000e-03, 8.48540000e-01, 1.13487000e+00,\n", - " 5.43400000e-02, 3.97100000e-02, 2.51009000e+00, 1.13278000e+00,\n", - " 2.15270000e-01, 8.48540000e-01, 1.31670000e-01, 4.43080000e-01,\n", - " 5.85200000e-02, 5.22500000e-02, 5.91470000e-01, 7.10600000e-02,\n", - " 2.71700000e-02, 4.11730000e-01, 2.31990000e-01, 1.08680000e-01,\n", - " 9.57220000e-01, 3.34400000e-02, 7.73300000e-02, 3.97100000e-02,\n", - " 5.64300000e-02, 2.09000000e-02, 1.30625000e+00, 6.81340000e-01,\n", - " 7.73300000e-02, 3.55300000e-02, 5.55940000e-01, 5.85200000e-02,\n", - " 2.77970000e-01, 2.09000000e-03, 2.57070000e-01, 3.30220000e-01,\n", - " 9.40500000e-02, 3.11410000e-01, 5.22500000e-02, 1.66155000e+00,\n", - " 7.10600000e-02, 6.89700000e-02, 6.47900000e-02, 2.39096000e+00,\n", - " 7.31500000e-02, 1.73470000e-01, 1.88100000e-02, 1.04500000e-02,\n", - " 5.78930000e-01, 2.06910000e-01, 1.67200000e-02, 0.00000000e+00,\n", - " 7.35680000e-01, 3.80380000e-01, 1.09516000e+00, 4.76520000e-01,\n", - " 1.25400000e-02, 8.36000000e-03, 6.27000000e-02, 2.84240000e-01,\n", - " 3.36490000e-01, 5.22500000e-02, 0.00000000e+00, 1.88100000e-02,\n", - " 1.96460000e-01, 3.76200000e-02, 6.68800000e-02, 1.10770000e-01,\n", - " 7.33590000e-01, 4.80700000e-01, 1.46300000e-02, 5.01600000e-02,\n", - " 2.71700000e-02, 2.09000000e-02, 2.09000000e-02, 6.27000000e-02,\n", - " 6.27000000e-02, 8.04650000e-01, 7.67030000e-01, 5.85200000e-02,\n", - " 8.15100000e-02, 3.13500000e-02, 2.29900000e-02, 6.89700000e-02,\n", - " 2.09000000e-02, 2.09000000e-02, 1.42120000e-01, 1.08680000e-01,\n", - " 1.48390000e-01, 1.86010000e-01, 1.58631000e+00, 3.26040000e-01,\n", - " 2.88420000e-01, 3.00960000e-01, 5.62210000e-01, 4.18000000e-02,\n", - " 2.71700000e-01, 7.75390000e-01, 5.43400000e-02, 2.20704000e+00,\n", - " 1.65319000e+00, 1.01365000e+00, 1.12860000e-01, 3.13500000e-02,\n", - " 1.84965000e+00, 4.68160000e-01, 7.79570000e-01, 1.71380000e-01,\n", - " 3.97100000e-02, 6.39540000e-01, 5.14140000e-01, 2.09000000e-02,\n", - " 8.36000000e-03, 6.27000000e-03, 1.88100000e-01, 8.36000000e-03,\n", - " 8.71530000e-01, 1.86846000e+00, 8.36000000e-02, 1.71380000e-01,\n", - " 3.84560000e-01, 1.04500000e-02, 4.80700000e-02, 5.64300000e-01,\n", - " 6.06100000e-02, 1.00320000e-01, 2.15270000e-01, 1.17249000e+00,\n", - " 6.45810000e-01, 1.33760000e-01, 2.11090000e-01, 2.80060000e-01,\n", - " 3.13500000e-02, 1.42120000e-01, 1.79740000e-01, 7.52400000e-02,\n", - " 1.04500000e-02, 1.12860000e-01, 5.43400000e-02, 5.22500000e-02,\n", - " 1.19130000e-01, 1.48390000e-01, 2.19450000e-01, 5.85200000e-02,\n", - " 6.27000000e-03, 7.94200000e-02, 1.00947000e+00, 5.64300000e-02,\n", - " 4.93240000e-01, 5.01600000e-02, 1.79740000e-01, 1.02410000e+00,\n", - " 1.60721000e+00, 3.59480000e-01, 6.85520000e-01, 7.94200000e-02,\n", - " 7.31500000e-02, 5.22500000e-02, 3.82470000e-01, 6.27000000e-02,\n", - " 6.68800000e-02, 3.76200000e-02, 1.04500000e-01, 1.00320000e-01,\n", - " 1.06590000e+00, 3.07230000e-01, 1.21220000e-01, 2.09000000e-03,\n", - " 1.02410000e-01, 3.86650000e-01, 4.45170000e-01, 4.18000000e-01,\n", - " 3.97100000e-02, 1.54660000e-01, 2.92600000e-01, 5.22500000e-02,\n", - " 1.31670000e-01, 7.94200000e-02, 3.55300000e-02, 5.85200000e-02,\n", - " 1.27490000e-01, 9.82300000e-02, 8.56900000e-02, 1.67200000e-02,\n", - " 6.29090000e-01, 8.00470000e-01, 3.13500000e-02, 3.34400000e-02,\n", - " 7.31500000e-02, 2.33662000e+00, 1.26445000e+00, 2.71700000e-02,\n", - " 8.92430000e-01, 4.63980000e-01, 2.09000000e-03, 8.98700000e-02,\n", - " 5.01600000e-02, 4.26360000e-01, 6.27000000e-01, 8.61080000e-01,\n", - " 5.85200000e-02, 1.67409000e+00, 2.86330000e-01, 1.21220000e+00,\n", - " 1.56750000e-01, 2.19450000e-01, 9.34230000e-01, 7.06420000e-01,\n", - " 2.90510000e-01, 3.32310000e-01, 0.00000000e+00, 2.09000000e-01,\n", - " 1.86010000e-01, 2.50800000e-02, 1.25400000e-02, 2.29900000e-02,\n", - " 3.55300000e-02, 6.68800000e-02, 1.37940000e-01, 9.40500000e-02,\n", - " 7.94200000e-02, 3.74110000e-01, 4.07550000e-01, 8.36000000e-03,\n", - " 8.15100000e-02, 1.12860000e-01, 5.01600000e-02, 7.73300000e-02,\n", - " 4.18000000e-02, 1.35850000e-01, 3.49030000e-01, 5.01600000e-02,\n", - " 3.97100000e-02, 2.29064000e+00, 8.98700000e-02, 7.73300000e-02,\n", - " 6.68800000e-02, 4.28450000e-01, 9.82300000e-02, 3.55300000e-02,\n", - " 3.00960000e-01, 7.94200000e-02, 5.53850000e-01, 1.46300000e-01,\n", - " 1.25191000e+00, 9.04970000e-01, 8.56900000e-01, 7.73300000e-02,\n", - " 8.36000000e-03, 9.82300000e-02, 2.29900000e-02, 5.64300000e-02,\n", - " 1.16204000e+00, 6.06100000e-02, 6.27000000e-03, 3.34400000e-02,\n", - " 7.77480000e-01, 1.96460000e-01, 4.59800000e-02, 1.58840000e-01,\n", - " 7.69120000e-01, 1.39612000e+00, 2.55816000e+00, 2.96780000e-01,\n", - " 1.34596000e+00, 1.80785000e+00, 1.56750000e-01, 8.15100000e-02,\n", - " 2.19450000e-01, 3.06812000e+00, 1.63856000e+00, 8.36000000e-03,\n", - " 9.40500000e-02, 1.37940000e-01, 5.85200000e-02, 2.67520000e-01,\n", - " 1.21220000e-01, 2.09000000e-01, 2.31990000e-01, 1.23519000e+00,\n", - " 2.90510000e-01, 1.67200000e-02, 3.51120000e-01, 5.53850000e-01,\n", - " 3.32310000e-01, 2.90510000e-01, 1.88100000e-02, 1.60930000e-01,\n", - " 9.82300000e-02, 3.55300000e-02, 1.88100000e-02, 1.54451000e+00,\n", - " 1.12860000e-01, 4.38900000e-02, 1.46300000e-01, 2.80060000e-01,\n", - " 1.65319000e+00, 9.23780000e-01, 1.44210000e-01, 2.00640000e-01,\n", - " 8.10920000e-01, 1.14950000e-01, 1.96460000e-01, 6.27000000e-01,\n", - " 5.30860000e-01, 7.73300000e-02, 9.63490000e-01, 8.77800000e-02,\n", - " 1.91862000e+00, 1.02410000e-01, 3.07230000e-01, 1.46300000e-02,\n", - " 1.04500000e-02, 2.71700000e-02, 1.58840000e-01, 1.06590000e-01,\n", - " 1.71380000e-01, 9.40500000e-02, 7.31500000e-02, 8.98700000e-02,\n", - " 3.15590000e-01, 1.08680000e-01, 4.38900000e-02, 4.18000000e-01,\n", - " 3.55300000e-02, 1.34178000e+00, 3.23950000e-01, 3.30220000e-01,\n", - " 7.73300000e-02, 1.21220000e-01, 4.59800000e-02, 1.49226000e+00,\n", - " 5.85200000e-02, 2.71700000e-02, 3.11410000e-01, 2.76716000e+00,\n", - " 4.18000000e-02, 6.68800000e-02, 8.36000000e-03, 1.27908000e+00,\n", - " 2.09000000e-02, 2.88420000e-01, 4.18000000e-02, 1.15159000e+00,\n", - " 4.68160000e-01, 1.88100000e-02, 4.18000000e-03, 7.73300000e-01,\n", - " 1.46300000e-02, 1.27490000e-01, 4.26360000e-01, 1.12860000e-01,\n", - " 5.16230000e-01, 1.73470000e-01, 3.67840000e-01, 5.85200000e-02,\n", - " 1.08680000e-01, 1.88100000e-02, 1.59049000e+00, 1.63020000e+00,\n", - " 3.53210000e-01, 8.67350000e-01, 1.78068000e+00, 6.89700000e-02,\n", - " 1.04500000e-02, 3.55300000e-02, 7.31500000e-02, 9.40500000e-02,\n", - " 3.13500000e-02, 1.25400000e-02, 6.89700000e-02, 1.67200000e-01,\n", - " 2.31990000e-01, 6.89700000e-02, 3.76200000e-02, 3.55300000e-02,\n", - " 4.80700000e-02, 6.27000000e-03, 1.54660000e-01, 7.94200000e-02,\n", - " 3.76200000e-02, 1.94370000e-01, 1.67200000e-02, 2.98870000e-01,\n", - " 5.09960000e-01, 1.86010000e-01, 4.84880000e-01, 8.79890000e-01,\n", - " 2.77970000e-01, 1.33760000e+00, 1.46300000e-01, 2.57070000e-01,\n", - " 5.01600000e-01, 2.02730000e-01, 9.61400000e-02, 1.21220000e-01,\n", - " 5.43400000e-02, 6.89700000e-02, 2.09000000e-03, 7.73300000e-02,\n", - " 3.55300000e-02, 1.88100000e-02, 8.56900000e-02, 3.90830000e-01,\n", - " 9.19600000e-02, 7.52400000e-02, 3.13500000e-02, 1.35850000e-01,\n", - " 8.94520000e-01, 3.78290000e-01, 1.02410000e-01, 2.48710000e-01,\n", - " 7.31500000e-02, 1.83920000e+00, 1.29580000e-01, 6.24910000e-01,\n", - " 1.25400000e-01, 1.58840000e-01, 6.47900000e-02, 1.83920000e-01,\n", - " 9.61400000e-02, 6.89700000e-02, 2.34080000e-01, 1.25400000e-02,\n", - " 3.76200000e-02, 9.82300000e-02, 7.31500000e-02, 9.61400000e-02,\n", - " 2.71700000e-02, 1.40030000e-01, 8.36000000e-01, 2.40350000e-01,\n", - " 3.78290000e-01, 2.27810000e-01, 1.31670000e-01, 2.88420000e-01,\n", - " 9.63490000e-01, 7.33590000e-01, 5.43400000e-02, 2.17360000e-01,\n", - " 1.10770000e-01, 1.44210000e-01, 3.26040000e-01, 6.20730000e-01,\n", - " 6.27000000e-03, 1.04500000e-02, 7.37770000e-01, 7.60760000e-01,\n", - " 1.17040000e-01, 1.46300000e-02, 8.15100000e-02, 5.43400000e-02,\n", - " 6.27000000e-03, 1.46300000e-02, 6.27000000e-02, 7.31500000e-02,\n", - " 8.29730000e-01, 4.01280000e-01, 4.38900000e-02, 1.23310000e-01,\n", - " 8.61080000e-01, 5.01600000e-02, 1.56332000e+00, 7.52400000e-02,\n", - " 1.12651000e+00, 1.02410000e-01, 4.45170000e-01, 8.36000000e-03,\n", - " 2.71700000e-02, 7.10600000e-02, 2.92600000e-02, 4.74430000e-01,\n", - " 2.88420000e-01, 2.27810000e-01, 3.34400000e-02, 8.98700000e-02,\n", - " 6.27000000e-03, 3.84560000e-01, 1.06590000e-01, 1.25400000e-02,\n", - " 1.75560000e-01, 6.12370000e-01, 2.17360000e-01, 2.09000000e-03,\n", - " 9.07060000e-01, 6.27000000e-02, 6.39540000e-01, 1.04500000e-02,\n", - " 6.27000000e-03, 8.15100000e-02, 3.80380000e-01, 5.85200000e-02,\n", - " 1.58840000e-01, 3.69930000e-01, 1.88100000e-02, 2.50800000e-02,\n", - " 1.32088000e+00, 8.36000000e-03, 8.36000000e-03, 6.68800000e-02,\n", - " 7.73300000e-02, 6.68800000e-02, 2.29900000e-02, 1.12860000e-01,\n", - " 9.61400000e-02, 1.33760000e-01, 1.00320000e-01, 2.88420000e-01,\n", - " 5.20410000e-01, 3.97100000e-02, 2.09000000e-02, 5.43400000e-02,\n", - " 8.98700000e-02, 9.19600000e-02, 3.00960000e-01, 3.55300000e-02,\n", - " 1.88100000e-02, 1.02410000e-01, 5.32950000e-01, 1.73470000e-01,\n", - " 9.82300000e-02, 3.70348000e+00, 4.18000000e-03, 4.59800000e-02,\n", - " 4.38900000e-02, 1.25400000e-02, 1.46300000e-02, 1.88100000e-02,\n", - " 1.67200000e-02, 1.21220000e-01, 2.92600000e-02, 3.88740000e-01,\n", - " 2.01058000e+00, 1.14950000e-01, 3.97100000e-02, 1.35850000e-01,\n", - " 7.25230000e-01, 5.64300000e-02, 3.55300000e-02, 1.56750000e-01,\n", - " 3.13500000e-02, 1.81830000e-01, 3.09320000e-01, 2.52890000e-01,\n", - " 2.29900000e-02, 1.17040000e-01, 8.15100000e-02, 6.06100000e-02,\n", - " 9.82300000e-02, 5.47580000e-01, 1.17040000e-01, 1.90190000e-01,\n", - " 3.09320000e-01, 3.76200000e-01, 2.92600000e-02, 8.36000000e-02,\n", - " 3.46940000e-01, 3.17680000e-01, 1.13278000e+00, 2.71700000e-02,\n", - " 4.15910000e-01, 5.01600000e-02, 1.23310000e-01, 1.73470000e-01,\n", - " 4.18000000e-02, 1.73470000e-01, 6.27000000e-02, 5.22500000e-02,\n", - " 1.46300000e-01, 1.65110000e-01, 3.76200000e-02, 1.67200000e-02,\n", - " 1.33760000e-01, 2.36170000e-01, 1.48390000e-01, 9.82300000e-02,\n", - " 5.64300000e-02, 6.27000000e-03, 2.38260000e-01, 6.70890000e-01,\n", - " 8.98700000e-02, 4.59800000e-02, 2.09000000e-03, 1.37940000e-01,\n", - " 9.82300000e-02, 3.13500000e-02, 3.76200000e-02, 1.65110000e-01,\n", - " 5.01600000e-02, 1.07008000e+00, 9.82300000e-02, 3.76200000e-02,\n", - " 0.00000000e+00, 2.13180000e-01, 5.01600000e-02, 6.68800000e-02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.59479241e+03, -2.52731782e+03, -1.54099467e+01, 6.72105637e+01,\n", - " 0.00000000e+00, 2.17840239e+01, 1.96543235e+02, 5.98660850e+02,\n", - " 0.00000000e+00, -2.91939334e+01, 7.88484257e+01, 9.86818026e+02,\n", - " -1.11731177e+03, -1.56513182e+03, 1.39591946e+03]), array([ 1.40030000e-01, 6.54170000e-01, 1.27699000e+00, 9.04970000e-01,\n", - " 4.80700000e-02, 8.77800000e-02, 5.85200000e-02, 1.23310000e-01,\n", - " 2.02730000e-01, 3.13500000e-02, 1.23310000e-01, 9.82300000e-02,\n", - " 2.19868000e+00, 8.36000000e-03, 2.92600000e-02, 1.88100000e-02,\n", - " 1.09725000e+00, 7.90020000e-01, 1.19130000e-01, 1.86010000e-01,\n", - " 4.38900000e-02, 2.29900000e-02, 1.25400000e-02, 0.00000000e+00,\n", - " 4.18000000e-02, 1.37940000e-01, 1.04500000e-02, 8.04650000e-01,\n", - " 1.56750000e-01, 6.45810000e-01, 3.42760000e-01, 2.61250000e-01,\n", - " 2.88420000e-01, 1.25400000e-02, 0.00000000e+00, 1.46300000e-02,\n", - " 1.63020000e-01, 7.52400000e-02, 3.76200000e-02, 2.71700000e-02,\n", - " 9.40500000e-02, 8.77800000e-02, 2.36170000e-01, 4.97420000e-01,\n", - " 7.94200000e-02, 8.25550000e-01, 2.61250000e-01, 1.05127000e+00,\n", - " 1.31670000e-01, 3.67422000e+00, 2.29900000e-02, 2.92600000e-02,\n", - " 9.61400000e-02, 6.89700000e-02, 1.54660000e-01, 3.76200000e-02,\n", - " 1.37940000e-01, 1.09934000e+00, 1.90817000e+00, 5.12050000e-01,\n", - " 3.57390000e-01, 3.13500000e-01, 1.25400000e-01, 5.35040000e-01,\n", - " 6.47900000e-02, 5.22500000e-02, 5.09960000e-01, 4.34720000e-01,\n", - " 2.09000000e-02, 0.00000000e+00, 9.61400000e-02, 9.82300000e-02,\n", - " 8.36000000e-03, 2.29900000e-02, 1.75560000e-01, 3.59480000e-01,\n", - " 2.13180000e-01, 6.89700000e-02, 7.10600000e-02, 5.26680000e-01,\n", - " 1.22474000e+00, 1.08889000e+00, 2.38260000e-01, 3.84560000e-01,\n", - " 4.49350000e-01, 5.01600000e-01, 5.64300000e-02, 1.17040000e-01,\n", - " 2.09000000e-02, 2.50800000e-02, 3.76200000e-02, 0.00000000e+00,\n", - " 1.04500000e-02, 2.92600000e-02, 4.24270000e-01, 1.10770000e-01,\n", - " 1.25400000e-02, 0.00000000e+00, 3.13500000e-02, 3.40670000e-01,\n", - " 2.71700000e-01, 9.69760000e-01, 1.27072000e+00, 2.36170000e-01,\n", - " 3.76200000e-02, 1.88100000e-02, 9.82300000e-02, 1.88100000e-02,\n", - " 5.62210000e-01, 4.36810000e-01, 1.33760000e-01, 1.08680000e-01,\n", - " 1.13905000e+00, 2.29900000e-01, 0.00000000e+00, 5.49670000e-01,\n", - " 3.61570000e-01, 1.78486000e+00, 2.88420000e-01, 8.54810000e-01,\n", - " 1.77650000e-01, 2.42440000e-01, 6.62530000e-01, 1.11188000e+00,\n", - " 9.94840000e-01, 1.99177000e+00, 2.96780000e-01, 1.27490000e-01,\n", - " 8.46450000e-01, 1.04918000e+00, 3.57390000e-01, 1.96460000e-01,\n", - " 4.18000000e-02, 1.67200000e-01, 3.11410000e-01, 2.17360000e-01,\n", - " 1.83920000e-01, 5.43400000e-01, 1.54660000e-01, 5.22500000e-02,\n", - " 1.03873000e+00, 8.84070000e-01, 7.75390000e-01, 8.10920000e-01,\n", - " 1.23310000e-01, 1.40030000e-01, 2.71700000e-02, 7.31500000e-02,\n", - " 1.50480000e-01, 2.88420000e-01, 0.00000000e+00, 0.00000000e+00,\n", - " 2.07537000e+00, 3.01796000e+00, 6.55215000e+00, 1.71380000e-01,\n", - " 1.88100000e-01, 1.02410000e-01, 2.29900000e-02, 2.50800000e-02,\n", - " 6.27000000e-02, 5.43400000e-02, 3.36490000e-01, 3.07230000e-01,\n", - " 2.88420000e-01, 8.36000000e-02, 2.16524000e+00, 3.96473000e+00,\n", - " 6.06100000e-02, 5.22500000e-02, 1.40030000e-01, 5.64300000e-02,\n", - " 6.27000000e-02, 1.48390000e-01, 2.80060000e-01, 1.00320000e-01,\n", - " 1.42120000e-01, 1.46300000e-01, 1.88100000e-02, 3.57390000e-01,\n", - " 4.59800000e-02, 1.10770000e-01, 1.31670000e-01, 3.40670000e-01,\n", - " 2.65430000e-01, 2.29900000e-02, 3.95010000e-01, 1.19130000e-01,\n", - " 8.56900000e-02, 9.40500000e-02, 2.21540000e-01, 1.12860000e-01,\n", - " 2.44530000e-01, 1.25400000e-02, 1.14950000e-01, 7.10600000e-02,\n", - " 1.00320000e-01, 3.55300000e-02, 4.09431000e+00, 1.04500000e-01,\n", - " 9.19600000e-02, 4.18000000e+00, 1.50480000e-01, 2.71700000e-02,\n", - " 0.00000000e+00, 2.71700000e-02, 1.25400000e-02, 1.04500000e-01,\n", - " 1.44210000e-01, 2.92600000e-02, 1.10770000e-01, 1.37940000e+00,\n", - " 8.79890000e-01, 1.06381000e+00, 3.71184000e+00, 3.22278000e+00,\n", - " 8.77800000e-02, 5.01600000e-02, 8.44360000e-01, 5.43400000e-01,\n", - " 1.83711000e+00, 1.30416000e+00, 1.88100000e-02, 4.59800000e-01,\n", - " 1.31670000e-01, 1.86637000e+00, 1.04500000e-02, 1.46300000e-02,\n", - " 2.29900000e-02, 1.04500000e-02, 6.58350000e-01, 5.20410000e-01,\n", - " 5.22500000e-01, 1.64065000e+00, 8.56900000e-02, 2.09000000e-02,\n", - " 8.17190000e-01, 2.71700000e-02, 8.56900000e-02, 1.31879000e+00,\n", - " 8.98700000e-02, 8.36000000e-02, 7.94200000e-02, 9.19600000e-02,\n", - " 4.80700000e-02, 1.06799000e+00, 6.06100000e-01, 1.88100000e-01,\n", - " 2.86330000e-01, 1.00320000e-01, 1.88100000e-02, 5.35040000e-01,\n", - " 3.34400000e-01, 7.62850000e-01, 7.52400000e-02, 1.33760000e-01,\n", - " 4.80700000e-02, 7.73300000e-02, 1.56750000e-01, 5.99830000e-01,\n", - " 1.69290000e-01, 6.16550000e-01, 2.36170000e-01, 8.77800000e-02,\n", - " 1.83920000e-01, 3.15590000e-01, 5.26680000e-01, 1.43792000e+00,\n", - " 1.60930000e-01, 7.62850000e-01, 7.10600000e-02, 6.89700000e-02,\n", - " 1.88100000e-01, 3.82470000e-01, 1.46300000e-01, 4.34720000e-01,\n", - " 2.92600000e-02, 9.82300000e-02, 5.43400000e-01, 2.84240000e-01,\n", - " 3.55300000e-02, 6.47900000e-02, 2.27810000e-01, 1.31670000e-01,\n", - " 2.48710000e-01, 1.67200000e-01, 2.29900000e-02, 7.31500000e-02,\n", - " 1.67200000e-02, 2.09000000e-03, 8.48540000e-01, 1.13487000e+00,\n", - " 5.43400000e-02, 3.97100000e-02, 2.51009000e+00, 1.13278000e+00,\n", - " 2.15270000e-01, 8.48540000e-01, 1.31670000e-01, 4.43080000e-01,\n", - " 5.85200000e-02, 5.22500000e-02, 5.91470000e-01, 7.10600000e-02,\n", - " 2.71700000e-02, 4.11730000e-01, 2.31990000e-01, 1.08680000e-01,\n", - " 9.57220000e-01, 3.34400000e-02, 7.73300000e-02, 3.97100000e-02,\n", - " 5.64300000e-02, 2.09000000e-02, 1.30625000e+00, 6.81340000e-01,\n", - " 7.73300000e-02, 3.55300000e-02, 5.55940000e-01, 5.85200000e-02,\n", - " 2.77970000e-01, 2.09000000e-03, 2.57070000e-01, 3.30220000e-01,\n", - " 9.40500000e-02, 3.11410000e-01, 5.22500000e-02, 1.66155000e+00,\n", - " 7.10600000e-02, 6.89700000e-02, 6.47900000e-02, 2.39096000e+00,\n", - " 7.31500000e-02, 1.73470000e-01, 1.88100000e-02, 1.04500000e-02,\n", - " 5.78930000e-01, 2.06910000e-01, 1.67200000e-02, 0.00000000e+00,\n", - " 7.35680000e-01, 3.80380000e-01, 1.09516000e+00, 4.76520000e-01,\n", - " 1.25400000e-02, 8.36000000e-03, 6.27000000e-02, 2.84240000e-01,\n", - " 3.36490000e-01, 5.22500000e-02, 0.00000000e+00, 1.88100000e-02,\n", - " 1.96460000e-01, 3.76200000e-02, 6.68800000e-02, 1.10770000e-01,\n", - " 7.33590000e-01, 4.80700000e-01, 1.46300000e-02, 5.01600000e-02,\n", - " 2.71700000e-02, 2.09000000e-02, 2.09000000e-02, 6.27000000e-02,\n", - " 6.27000000e-02, 8.04650000e-01, 7.67030000e-01, 5.85200000e-02,\n", - " 8.15100000e-02, 3.13500000e-02, 2.29900000e-02, 6.89700000e-02,\n", - " 2.09000000e-02, 2.09000000e-02, 1.42120000e-01, 1.08680000e-01,\n", - " 1.48390000e-01, 1.86010000e-01, 1.58631000e+00, 3.26040000e-01,\n", - " 2.88420000e-01, 3.00960000e-01, 5.62210000e-01, 4.18000000e-02,\n", - " 2.71700000e-01, 7.75390000e-01, 5.43400000e-02, 2.20704000e+00,\n", - " 1.65319000e+00, 1.01365000e+00, 1.12860000e-01, 3.13500000e-02,\n", - " 1.84965000e+00, 4.68160000e-01, 7.79570000e-01, 1.71380000e-01,\n", - " 3.97100000e-02, 6.39540000e-01, 5.14140000e-01, 2.09000000e-02,\n", - " 8.36000000e-03, 6.27000000e-03, 1.88100000e-01, 8.36000000e-03,\n", - " 8.71530000e-01, 1.86846000e+00, 8.36000000e-02, 1.71380000e-01,\n", - " 3.84560000e-01, 1.04500000e-02, 4.80700000e-02, 5.64300000e-01,\n", - " 6.06100000e-02, 1.00320000e-01, 2.15270000e-01, 1.17249000e+00,\n", - " 6.45810000e-01, 1.33760000e-01, 2.11090000e-01, 2.80060000e-01,\n", - " 3.13500000e-02, 1.42120000e-01, 1.79740000e-01, 7.52400000e-02,\n", - " 1.04500000e-02, 1.12860000e-01, 5.43400000e-02, 5.22500000e-02,\n", - " 1.19130000e-01, 1.48390000e-01, 2.19450000e-01, 5.85200000e-02,\n", - " 6.27000000e-03, 7.94200000e-02, 1.00947000e+00, 5.64300000e-02,\n", - " 4.93240000e-01, 5.01600000e-02, 1.79740000e-01, 1.02410000e+00,\n", - " 1.60721000e+00, 3.59480000e-01, 6.85520000e-01, 7.94200000e-02,\n", - " 7.31500000e-02, 5.22500000e-02, 3.82470000e-01, 6.27000000e-02,\n", - " 6.68800000e-02, 3.76200000e-02, 1.04500000e-01, 1.00320000e-01,\n", - " 1.06590000e+00, 3.07230000e-01, 1.21220000e-01, 2.09000000e-03,\n", - " 1.02410000e-01, 3.86650000e-01, 4.45170000e-01, 4.18000000e-01,\n", - " 3.97100000e-02, 1.54660000e-01, 2.92600000e-01, 5.22500000e-02,\n", - " 1.31670000e-01, 7.94200000e-02, 3.55300000e-02, 5.85200000e-02,\n", - " 1.27490000e-01, 9.82300000e-02, 8.56900000e-02, 1.67200000e-02,\n", - " 6.29090000e-01, 8.00470000e-01, 3.13500000e-02, 3.34400000e-02,\n", - " 7.31500000e-02, 2.33662000e+00, 1.26445000e+00, 2.71700000e-02,\n", - " 8.92430000e-01, 4.63980000e-01, 2.09000000e-03, 8.98700000e-02,\n", - " 5.01600000e-02, 4.26360000e-01, 6.27000000e-01, 8.61080000e-01,\n", - " 5.85200000e-02, 1.67409000e+00, 2.86330000e-01, 1.21220000e+00,\n", - " 1.56750000e-01, 2.19450000e-01, 9.34230000e-01, 7.06420000e-01,\n", - " 2.90510000e-01, 3.32310000e-01, 0.00000000e+00, 2.09000000e-01,\n", - " 1.86010000e-01, 2.50800000e-02, 1.25400000e-02, 2.29900000e-02,\n", - " 3.55300000e-02, 6.68800000e-02, 1.37940000e-01, 9.40500000e-02,\n", - " 7.94200000e-02, 3.74110000e-01, 4.07550000e-01, 8.36000000e-03,\n", - " 8.15100000e-02, 1.12860000e-01, 5.01600000e-02, 7.73300000e-02,\n", - " 4.18000000e-02, 1.35850000e-01, 3.49030000e-01, 5.01600000e-02,\n", - " 3.97100000e-02, 2.29064000e+00, 8.98700000e-02, 7.73300000e-02,\n", - " 6.68800000e-02, 4.28450000e-01, 9.82300000e-02, 3.55300000e-02,\n", - " 3.00960000e-01, 7.94200000e-02, 5.53850000e-01, 1.46300000e-01,\n", - " 1.25191000e+00, 9.04970000e-01, 8.56900000e-01, 7.73300000e-02,\n", - " 8.36000000e-03, 9.82300000e-02, 2.29900000e-02, 5.64300000e-02,\n", - " 1.16204000e+00, 6.06100000e-02, 6.27000000e-03, 3.34400000e-02,\n", - " 7.77480000e-01, 1.96460000e-01, 4.59800000e-02, 1.58840000e-01,\n", - " 7.69120000e-01, 1.39612000e+00, 2.55816000e+00, 2.96780000e-01,\n", - " 1.34596000e+00, 1.80785000e+00, 1.56750000e-01, 8.15100000e-02,\n", - " 2.19450000e-01, 3.06812000e+00, 1.63856000e+00, 8.36000000e-03,\n", - " 9.40500000e-02, 1.37940000e-01, 5.85200000e-02, 2.67520000e-01,\n", - " 1.21220000e-01, 2.09000000e-01, 2.31990000e-01, 1.23519000e+00,\n", - " 2.90510000e-01, 1.67200000e-02, 3.51120000e-01, 5.53850000e-01,\n", - " 3.32310000e-01, 2.90510000e-01, 1.88100000e-02, 1.60930000e-01,\n", - " 9.82300000e-02, 3.55300000e-02, 1.88100000e-02, 1.54451000e+00,\n", - " 1.12860000e-01, 4.38900000e-02, 1.46300000e-01, 2.80060000e-01,\n", - " 1.65319000e+00, 9.23780000e-01, 1.44210000e-01, 2.00640000e-01,\n", - " 8.10920000e-01, 1.14950000e-01, 1.96460000e-01, 6.27000000e-01,\n", - " 5.30860000e-01, 7.73300000e-02, 9.63490000e-01, 8.77800000e-02,\n", - " 1.91862000e+00, 1.02410000e-01, 3.07230000e-01, 1.46300000e-02,\n", - " 1.04500000e-02, 2.71700000e-02, 1.58840000e-01, 1.06590000e-01,\n", - " 1.71380000e-01, 9.40500000e-02, 7.31500000e-02, 8.98700000e-02,\n", - " 3.15590000e-01, 1.08680000e-01, 4.38900000e-02, 4.18000000e-01,\n", - " 3.55300000e-02, 1.34178000e+00, 3.23950000e-01, 3.30220000e-01,\n", - " 7.73300000e-02, 1.21220000e-01, 4.59800000e-02, 1.49226000e+00,\n", - " 5.85200000e-02, 2.71700000e-02, 3.11410000e-01, 2.76716000e+00,\n", - " 4.18000000e-02, 6.68800000e-02, 8.36000000e-03, 1.27908000e+00,\n", - " 2.09000000e-02, 2.88420000e-01, 4.18000000e-02, 1.15159000e+00,\n", - " 4.68160000e-01, 1.88100000e-02, 4.18000000e-03, 7.73300000e-01,\n", - " 1.46300000e-02, 1.27490000e-01, 4.26360000e-01, 1.12860000e-01,\n", - " 5.16230000e-01, 1.73470000e-01, 3.67840000e-01, 5.85200000e-02,\n", - " 1.08680000e-01, 1.88100000e-02, 1.59049000e+00, 1.63020000e+00,\n", - " 3.53210000e-01, 8.67350000e-01, 1.78068000e+00, 6.89700000e-02,\n", - " 1.04500000e-02, 3.55300000e-02, 7.31500000e-02, 9.40500000e-02,\n", - " 3.13500000e-02, 1.25400000e-02, 6.89700000e-02, 1.67200000e-01,\n", - " 2.31990000e-01, 6.89700000e-02, 3.76200000e-02, 3.55300000e-02,\n", - " 4.80700000e-02, 6.27000000e-03, 1.54660000e-01, 7.94200000e-02,\n", - " 3.76200000e-02, 1.94370000e-01, 1.67200000e-02, 2.98870000e-01,\n", - " 5.09960000e-01, 1.86010000e-01, 4.84880000e-01, 8.79890000e-01,\n", - " 2.77970000e-01, 1.33760000e+00, 1.46300000e-01, 2.57070000e-01,\n", - " 5.01600000e-01, 2.02730000e-01, 9.61400000e-02, 1.21220000e-01,\n", - " 5.43400000e-02, 6.89700000e-02, 2.09000000e-03, 7.73300000e-02,\n", - " 3.55300000e-02, 1.88100000e-02, 8.56900000e-02, 3.90830000e-01,\n", - " 9.19600000e-02, 7.52400000e-02, 3.13500000e-02, 1.35850000e-01,\n", - " 8.94520000e-01, 3.78290000e-01, 1.02410000e-01, 2.48710000e-01,\n", - " 7.31500000e-02, 1.83920000e+00, 1.29580000e-01, 6.24910000e-01,\n", - " 1.25400000e-01, 1.58840000e-01, 6.47900000e-02, 1.83920000e-01,\n", - " 9.61400000e-02, 6.89700000e-02, 2.34080000e-01, 1.25400000e-02,\n", - " 3.76200000e-02, 9.82300000e-02, 7.31500000e-02, 9.61400000e-02,\n", - " 2.71700000e-02, 1.40030000e-01, 8.36000000e-01, 2.40350000e-01,\n", - " 3.78290000e-01, 2.27810000e-01, 1.31670000e-01, 2.88420000e-01,\n", - " 9.63490000e-01, 7.33590000e-01, 5.43400000e-02, 2.17360000e-01,\n", - " 1.10770000e-01, 1.44210000e-01, 3.26040000e-01, 6.20730000e-01,\n", - " 6.27000000e-03, 1.04500000e-02, 7.37770000e-01, 7.60760000e-01,\n", - " 1.17040000e-01, 1.46300000e-02, 8.15100000e-02, 5.43400000e-02,\n", - " 6.27000000e-03, 1.46300000e-02, 6.27000000e-02, 7.31500000e-02,\n", - " 8.29730000e-01, 4.01280000e-01, 4.38900000e-02, 1.23310000e-01,\n", - " 8.61080000e-01, 5.01600000e-02, 1.56332000e+00, 7.52400000e-02,\n", - " 1.12651000e+00, 1.02410000e-01, 4.45170000e-01, 8.36000000e-03,\n", - " 2.71700000e-02, 7.10600000e-02, 2.92600000e-02, 4.74430000e-01,\n", - " 2.88420000e-01, 2.27810000e-01, 3.34400000e-02, 8.98700000e-02,\n", - " 6.27000000e-03, 3.84560000e-01, 1.06590000e-01, 1.25400000e-02,\n", - " 1.75560000e-01, 6.12370000e-01, 2.17360000e-01, 2.09000000e-03,\n", - " 9.07060000e-01, 6.27000000e-02, 6.39540000e-01, 1.04500000e-02,\n", - " 6.27000000e-03, 8.15100000e-02, 3.80380000e-01, 5.85200000e-02,\n", - " 1.58840000e-01, 3.69930000e-01, 1.88100000e-02, 2.50800000e-02,\n", - " 1.32088000e+00, 8.36000000e-03, 8.36000000e-03, 6.68800000e-02,\n", - " 7.73300000e-02, 6.68800000e-02, 2.29900000e-02, 1.12860000e-01,\n", - " 9.61400000e-02, 1.33760000e-01, 1.00320000e-01, 2.88420000e-01,\n", - " 5.20410000e-01, 3.97100000e-02, 2.09000000e-02, 5.43400000e-02,\n", - " 8.98700000e-02, 9.19600000e-02, 3.00960000e-01, 3.55300000e-02,\n", - " 1.88100000e-02, 1.02410000e-01, 5.32950000e-01, 1.73470000e-01,\n", - " 9.82300000e-02, 3.70348000e+00, 4.18000000e-03, 4.59800000e-02,\n", - " 4.38900000e-02, 1.25400000e-02, 1.46300000e-02, 1.88100000e-02,\n", - " 1.67200000e-02, 1.21220000e-01, 2.92600000e-02, 3.88740000e-01,\n", - " 2.01058000e+00, 1.14950000e-01, 3.97100000e-02, 1.35850000e-01,\n", - " 7.25230000e-01, 5.64300000e-02, 3.55300000e-02, 1.56750000e-01,\n", - " 3.13500000e-02, 1.81830000e-01, 3.09320000e-01, 2.52890000e-01,\n", - " 2.29900000e-02, 1.17040000e-01, 8.15100000e-02, 6.06100000e-02,\n", - " 9.82300000e-02, 5.47580000e-01, 1.17040000e-01, 1.90190000e-01,\n", - " 3.09320000e-01, 3.76200000e-01, 2.92600000e-02, 8.36000000e-02,\n", - " 3.46940000e-01, 3.17680000e-01, 1.13278000e+00, 2.71700000e-02,\n", - " 4.15910000e-01, 5.01600000e-02, 1.23310000e-01, 1.73470000e-01,\n", - " 4.18000000e-02, 1.73470000e-01, 6.27000000e-02, 5.22500000e-02,\n", - " 1.46300000e-01, 1.65110000e-01, 3.76200000e-02, 1.67200000e-02,\n", - " 1.33760000e-01, 2.36170000e-01, 1.48390000e-01, 9.82300000e-02,\n", - " 5.64300000e-02, 6.27000000e-03, 2.38260000e-01, 6.70890000e-01,\n", - " 8.98700000e-02, 4.59800000e-02, 2.09000000e-03, 1.37940000e-01,\n", - " 9.82300000e-02, 3.13500000e-02, 3.76200000e-02, 1.65110000e-01,\n", - " 5.01600000e-02, 1.07008000e+00, 9.82300000e-02, 3.76200000e-02,\n", - " 0.00000000e+00, 2.13180000e-01, 5.01600000e-02, 6.68800000e-02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.60275165e+03, -2.52731782e+03, -1.54099475e+01, 6.70930398e+01,\n", - " 0.00000000e+00, 2.37793931e+01, 1.96238715e+02, 0.00000000e+00,\n", - " 0.00000000e+00, -2.91939267e+01, 1.69929358e+02, 9.08918293e+02,\n", - " -4.98659505e+02, 2.26545731e+03, -2.47737568e+03]), array([ 1.40030000e-01, 6.54170000e-01, 1.27699000e+00, 9.04970000e-01,\n", - " 4.80700000e-02, 8.77800000e-02, 5.85200000e-02, 1.23310000e-01,\n", - " 2.02730000e-01, 3.13500000e-02, 1.23310000e-01, 9.82300000e-02,\n", - " 2.19868000e+00, 8.36000000e-03, 2.92600000e-02, 1.88100000e-02,\n", - " 1.09725000e+00, 7.90020000e-01, 1.19130000e-01, 1.86010000e-01,\n", - " 4.38900000e-02, 2.29900000e-02, 1.25400000e-02, 0.00000000e+00,\n", - " 4.18000000e-02, 1.37940000e-01, 1.04500000e-02, 8.04650000e-01,\n", - " 1.56750000e-01, 6.45810000e-01, 3.42760000e-01, 2.61250000e-01,\n", - " 2.88420000e-01, 1.25400000e-02, 0.00000000e+00, 1.46300000e-02,\n", - " 1.63020000e-01, 7.52400000e-02, 3.76200000e-02, 2.71700000e-02,\n", - " 9.40500000e-02, 8.77800000e-02, 2.36170000e-01, 4.97420000e-01,\n", - " 7.94200000e-02, 8.25550000e-01, 2.61250000e-01, 1.05127000e+00,\n", - " 1.31670000e-01, 3.67422000e+00, 2.29900000e-02, 2.92600000e-02,\n", - " 9.61400000e-02, 6.89700000e-02, 1.54660000e-01, 3.76200000e-02,\n", - " 1.37940000e-01, 1.09934000e+00, 1.90817000e+00, 5.12050000e-01,\n", - " 3.57390000e-01, 3.13500000e-01, 1.25400000e-01, 5.35040000e-01,\n", - " 6.47900000e-02, 5.22500000e-02, 5.09960000e-01, 4.34720000e-01,\n", - " 2.09000000e-02, 0.00000000e+00, 9.61400000e-02, 9.82300000e-02,\n", - " 8.36000000e-03, 2.29900000e-02, 1.75560000e-01, 3.59480000e-01,\n", - " 2.13180000e-01, 6.89700000e-02, 7.10600000e-02, 5.26680000e-01,\n", - " 1.22474000e+00, 1.08889000e+00, 2.38260000e-01, 3.84560000e-01,\n", - " 4.49350000e-01, 5.01600000e-01, 5.64300000e-02, 1.17040000e-01,\n", - " 2.09000000e-02, 2.50800000e-02, 3.76200000e-02, 0.00000000e+00,\n", - " 1.04500000e-02, 2.92600000e-02, 4.24270000e-01, 1.10770000e-01,\n", - " 1.25400000e-02, 0.00000000e+00, 3.13500000e-02, 3.40670000e-01,\n", - " 2.71700000e-01, 9.69760000e-01, 1.27072000e+00, 2.36170000e-01,\n", - " 3.76200000e-02, 1.88100000e-02, 9.82300000e-02, 1.88100000e-02,\n", - " 5.62210000e-01, 4.36810000e-01, 1.33760000e-01, 1.08680000e-01,\n", - " 1.13905000e+00, 2.29900000e-01, 0.00000000e+00, 5.49670000e-01,\n", - " 3.61570000e-01, 1.78486000e+00, 2.88420000e-01, 8.54810000e-01,\n", - " 1.77650000e-01, 2.42440000e-01, 6.62530000e-01, 1.11188000e+00,\n", - " 9.94840000e-01, 1.99177000e+00, 2.96780000e-01, 1.27490000e-01,\n", - " 8.46450000e-01, 1.04918000e+00, 3.57390000e-01, 1.96460000e-01,\n", - " 4.18000000e-02, 1.67200000e-01, 3.11410000e-01, 2.17360000e-01,\n", - " 1.83920000e-01, 5.43400000e-01, 1.54660000e-01, 5.22500000e-02,\n", - " 1.03873000e+00, 8.84070000e-01, 7.75390000e-01, 8.10920000e-01,\n", - " 1.23310000e-01, 1.40030000e-01, 2.71700000e-02, 7.31500000e-02,\n", - " 1.50480000e-01, 2.88420000e-01, 0.00000000e+00, 0.00000000e+00,\n", - " 2.07537000e+00, 3.01796000e+00, 6.55215000e+00, 1.71380000e-01,\n", - " 1.88100000e-01, 1.02410000e-01, 2.29900000e-02, 2.50800000e-02,\n", - " 6.27000000e-02, 5.43400000e-02, 3.36490000e-01, 3.07230000e-01,\n", - " 2.88420000e-01, 8.36000000e-02, 2.16524000e+00, 3.96473000e+00,\n", - " 6.06100000e-02, 5.22500000e-02, 1.40030000e-01, 5.64300000e-02,\n", - " 6.27000000e-02, 1.48390000e-01, 2.80060000e-01, 1.00320000e-01,\n", - " 1.42120000e-01, 1.46300000e-01, 1.88100000e-02, 3.57390000e-01,\n", - " 4.59800000e-02, 1.10770000e-01, 1.31670000e-01, 3.40670000e-01,\n", - " 2.65430000e-01, 2.29900000e-02, 3.95010000e-01, 1.19130000e-01,\n", - " 8.56900000e-02, 9.40500000e-02, 2.21540000e-01, 1.12860000e-01,\n", - " 2.44530000e-01, 1.25400000e-02, 1.14950000e-01, 7.10600000e-02,\n", - " 1.00320000e-01, 3.55300000e-02, 4.09431000e+00, 1.04500000e-01,\n", - " 9.19600000e-02, 4.18000000e+00, 1.50480000e-01, 2.71700000e-02,\n", - " 0.00000000e+00, 2.71700000e-02, 1.25400000e-02, 1.04500000e-01,\n", - " 1.44210000e-01, 2.92600000e-02, 1.10770000e-01, 1.37940000e+00,\n", - " 8.79890000e-01, 1.06381000e+00, 3.71184000e+00, 3.22278000e+00,\n", - " 8.77800000e-02, 5.01600000e-02, 8.44360000e-01, 5.43400000e-01,\n", - " 1.83711000e+00, 1.30416000e+00, 1.88100000e-02, 4.59800000e-01,\n", - " 1.31670000e-01, 1.86637000e+00, 1.04500000e-02, 1.46300000e-02,\n", - " 2.29900000e-02, 1.04500000e-02, 6.58350000e-01, 5.20410000e-01,\n", - " 5.22500000e-01, 1.64065000e+00, 8.56900000e-02, 2.09000000e-02,\n", - " 8.17190000e-01, 2.71700000e-02, 8.56900000e-02, 1.31879000e+00,\n", - " 8.98700000e-02, 8.36000000e-02, 7.94200000e-02, 9.19600000e-02,\n", - " 4.80700000e-02, 1.06799000e+00, 6.06100000e-01, 1.88100000e-01,\n", - " 2.86330000e-01, 1.00320000e-01, 1.88100000e-02, 5.35040000e-01,\n", - " 3.34400000e-01, 7.62850000e-01, 7.52400000e-02, 1.33760000e-01,\n", - " 4.80700000e-02, 7.73300000e-02, 1.56750000e-01, 5.99830000e-01,\n", - " 1.69290000e-01, 6.16550000e-01, 2.36170000e-01, 8.77800000e-02,\n", - " 1.83920000e-01, 3.15590000e-01, 5.26680000e-01, 1.43792000e+00,\n", - " 1.60930000e-01, 7.62850000e-01, 7.10600000e-02, 6.89700000e-02,\n", - " 1.88100000e-01, 3.82470000e-01, 1.46300000e-01, 4.34720000e-01,\n", - " 2.92600000e-02, 9.82300000e-02, 5.43400000e-01, 2.84240000e-01,\n", - " 3.55300000e-02, 6.47900000e-02, 2.27810000e-01, 1.31670000e-01,\n", - " 2.48710000e-01, 1.67200000e-01, 2.29900000e-02, 7.31500000e-02,\n", - " 1.67200000e-02, 2.09000000e-03, 8.48540000e-01, 1.13487000e+00,\n", - " 5.43400000e-02, 3.97100000e-02, 2.51009000e+00, 1.13278000e+00,\n", - " 2.15270000e-01, 8.48540000e-01, 1.31670000e-01, 4.43080000e-01,\n", - " 5.85200000e-02, 5.22500000e-02, 5.91470000e-01, 7.10600000e-02,\n", - " 2.71700000e-02, 4.11730000e-01, 2.31990000e-01, 1.08680000e-01,\n", - " 9.57220000e-01, 3.34400000e-02, 7.73300000e-02, 3.97100000e-02,\n", - " 5.64300000e-02, 2.09000000e-02, 1.30625000e+00, 6.81340000e-01,\n", - " 7.73300000e-02, 3.55300000e-02, 5.55940000e-01, 5.85200000e-02,\n", - " 2.77970000e-01, 2.09000000e-03, 2.57070000e-01, 3.30220000e-01,\n", - " 9.40500000e-02, 3.11410000e-01, 5.22500000e-02, 1.66155000e+00,\n", - " 7.10600000e-02, 6.89700000e-02, 6.47900000e-02, 2.39096000e+00,\n", - " 7.31500000e-02, 1.73470000e-01, 1.88100000e-02, 1.04500000e-02,\n", - " 5.78930000e-01, 2.06910000e-01, 1.67200000e-02, 0.00000000e+00,\n", - " 7.35680000e-01, 3.80380000e-01, 1.09516000e+00, 4.76520000e-01,\n", - " 1.25400000e-02, 8.36000000e-03, 6.27000000e-02, 2.84240000e-01,\n", - " 3.36490000e-01, 5.22500000e-02, 0.00000000e+00, 1.88100000e-02,\n", - " 1.96460000e-01, 3.76200000e-02, 6.68800000e-02, 1.10770000e-01,\n", - " 7.33590000e-01, 4.80700000e-01, 1.46300000e-02, 5.01600000e-02,\n", - " 2.71700000e-02, 2.09000000e-02, 2.09000000e-02, 6.27000000e-02,\n", - " 6.27000000e-02, 8.04650000e-01, 7.67030000e-01, 5.85200000e-02,\n", - " 8.15100000e-02, 3.13500000e-02, 2.29900000e-02, 6.89700000e-02,\n", - " 2.09000000e-02, 2.09000000e-02, 1.42120000e-01, 1.08680000e-01,\n", - " 1.48390000e-01, 1.86010000e-01, 1.58631000e+00, 3.26040000e-01,\n", - " 2.88420000e-01, 3.00960000e-01, 5.62210000e-01, 4.18000000e-02,\n", - " 2.71700000e-01, 7.75390000e-01, 5.43400000e-02, 2.20704000e+00,\n", - " 1.65319000e+00, 1.01365000e+00, 1.12860000e-01, 3.13500000e-02,\n", - " 1.84965000e+00, 4.68160000e-01, 7.79570000e-01, 1.71380000e-01,\n", - " 3.97100000e-02, 6.39540000e-01, 5.14140000e-01, 2.09000000e-02,\n", - " 8.36000000e-03, 6.27000000e-03, 1.88100000e-01, 8.36000000e-03,\n", - " 8.71530000e-01, 1.86846000e+00, 8.36000000e-02, 1.71380000e-01,\n", - " 3.84560000e-01, 1.04500000e-02, 4.80700000e-02, 5.64300000e-01,\n", - " 6.06100000e-02, 1.00320000e-01, 2.15270000e-01, 1.17249000e+00,\n", - " 6.45810000e-01, 1.33760000e-01, 2.11090000e-01, 2.80060000e-01,\n", - " 3.13500000e-02, 1.42120000e-01, 1.79740000e-01, 7.52400000e-02,\n", - " 1.04500000e-02, 1.12860000e-01, 5.43400000e-02, 5.22500000e-02,\n", - " 1.19130000e-01, 1.48390000e-01, 2.19450000e-01, 5.85200000e-02,\n", - " 6.27000000e-03, 7.94200000e-02, 1.00947000e+00, 5.64300000e-02,\n", - " 4.93240000e-01, 5.01600000e-02, 1.79740000e-01, 1.02410000e+00,\n", - " 1.60721000e+00, 3.59480000e-01, 6.85520000e-01, 7.94200000e-02,\n", - " 7.31500000e-02, 5.22500000e-02, 3.82470000e-01, 6.27000000e-02,\n", - " 6.68800000e-02, 3.76200000e-02, 1.04500000e-01, 1.00320000e-01,\n", - " 1.06590000e+00, 3.07230000e-01, 1.21220000e-01, 2.09000000e-03,\n", - " 1.02410000e-01, 3.86650000e-01, 4.45170000e-01, 4.18000000e-01,\n", - " 3.97100000e-02, 1.54660000e-01, 2.92600000e-01, 5.22500000e-02,\n", - " 1.31670000e-01, 7.94200000e-02, 3.55300000e-02, 5.85200000e-02,\n", - " 1.27490000e-01, 9.82300000e-02, 8.56900000e-02, 1.67200000e-02,\n", - " 6.29090000e-01, 8.00470000e-01, 3.13500000e-02, 3.34400000e-02,\n", - " 7.31500000e-02, 2.33662000e+00, 1.26445000e+00, 2.71700000e-02,\n", - " 8.92430000e-01, 4.63980000e-01, 2.09000000e-03, 8.98700000e-02,\n", - " 5.01600000e-02, 4.26360000e-01, 6.27000000e-01, 8.61080000e-01,\n", - " 5.85200000e-02, 1.67409000e+00, 2.86330000e-01, 1.21220000e+00,\n", - " 1.56750000e-01, 2.19450000e-01, 9.34230000e-01, 7.06420000e-01,\n", - " 2.90510000e-01, 3.32310000e-01, 0.00000000e+00, 2.09000000e-01,\n", - " 1.86010000e-01, 2.50800000e-02, 1.25400000e-02, 2.29900000e-02,\n", - " 3.55300000e-02, 6.68800000e-02, 1.37940000e-01, 9.40500000e-02,\n", - " 7.94200000e-02, 3.74110000e-01, 4.07550000e-01, 8.36000000e-03,\n", - " 8.15100000e-02, 1.12860000e-01, 5.01600000e-02, 7.73300000e-02,\n", - " 4.18000000e-02, 1.35850000e-01, 3.49030000e-01, 5.01600000e-02,\n", - " 3.97100000e-02, 2.29064000e+00, 8.98700000e-02, 7.73300000e-02,\n", - " 6.68800000e-02, 4.28450000e-01, 9.82300000e-02, 3.55300000e-02,\n", - " 3.00960000e-01, 7.94200000e-02, 5.53850000e-01, 1.46300000e-01,\n", - " 1.25191000e+00, 9.04970000e-01, 8.56900000e-01, 7.73300000e-02,\n", - " 8.36000000e-03, 9.82300000e-02, 2.29900000e-02, 5.64300000e-02,\n", - " 1.16204000e+00, 6.06100000e-02, 6.27000000e-03, 3.34400000e-02,\n", - " 7.77480000e-01, 1.96460000e-01, 4.59800000e-02, 1.58840000e-01,\n", - " 7.69120000e-01, 1.39612000e+00, 2.55816000e+00, 2.96780000e-01,\n", - " 1.34596000e+00, 1.80785000e+00, 1.56750000e-01, 8.15100000e-02,\n", - " 2.19450000e-01, 3.06812000e+00, 1.63856000e+00, 8.36000000e-03,\n", - " 9.40500000e-02, 1.37940000e-01, 5.85200000e-02, 2.67520000e-01,\n", - " 1.21220000e-01, 2.09000000e-01, 2.31990000e-01, 1.23519000e+00,\n", - " 2.90510000e-01, 1.67200000e-02, 3.51120000e-01, 5.53850000e-01,\n", - " 3.32310000e-01, 2.90510000e-01, 1.88100000e-02, 1.60930000e-01,\n", - " 9.82300000e-02, 3.55300000e-02, 1.88100000e-02, 1.54451000e+00,\n", - " 1.12860000e-01, 4.38900000e-02, 1.46300000e-01, 2.80060000e-01,\n", - " 1.65319000e+00, 9.23780000e-01, 1.44210000e-01, 2.00640000e-01,\n", - " 8.10920000e-01, 1.14950000e-01, 1.96460000e-01, 6.27000000e-01,\n", - " 5.30860000e-01, 7.73300000e-02, 9.63490000e-01, 8.77800000e-02,\n", - " 1.91862000e+00, 1.02410000e-01, 3.07230000e-01, 1.46300000e-02,\n", - " 1.04500000e-02, 2.71700000e-02, 1.58840000e-01, 1.06590000e-01,\n", - " 1.71380000e-01, 9.40500000e-02, 7.31500000e-02, 8.98700000e-02,\n", - " 3.15590000e-01, 1.08680000e-01, 4.38900000e-02, 4.18000000e-01,\n", - " 3.55300000e-02, 1.34178000e+00, 3.23950000e-01, 3.30220000e-01,\n", - " 7.73300000e-02, 1.21220000e-01, 4.59800000e-02, 1.49226000e+00,\n", - " 5.85200000e-02, 2.71700000e-02, 3.11410000e-01, 2.76716000e+00,\n", - " 4.18000000e-02, 6.68800000e-02, 8.36000000e-03, 1.27908000e+00,\n", - " 2.09000000e-02, 2.88420000e-01, 4.18000000e-02, 1.15159000e+00,\n", - " 4.68160000e-01, 1.88100000e-02, 4.18000000e-03, 7.73300000e-01,\n", - " 1.46300000e-02, 1.27490000e-01, 4.26360000e-01, 1.12860000e-01,\n", - " 5.16230000e-01, 1.73470000e-01, 3.67840000e-01, 5.85200000e-02,\n", - " 1.08680000e-01, 1.88100000e-02, 1.59049000e+00, 1.63020000e+00,\n", - " 3.53210000e-01, 8.67350000e-01, 1.78068000e+00, 6.89700000e-02,\n", - " 1.04500000e-02, 3.55300000e-02, 7.31500000e-02, 9.40500000e-02,\n", - " 3.13500000e-02, 1.25400000e-02, 6.89700000e-02, 1.67200000e-01,\n", - " 2.31990000e-01, 6.89700000e-02, 3.76200000e-02, 3.55300000e-02,\n", - " 4.80700000e-02, 6.27000000e-03, 1.54660000e-01, 7.94200000e-02,\n", - " 3.76200000e-02, 1.94370000e-01, 1.67200000e-02, 2.98870000e-01,\n", - " 5.09960000e-01, 1.86010000e-01, 4.84880000e-01, 8.79890000e-01,\n", - " 2.77970000e-01, 1.33760000e+00, 1.46300000e-01, 2.57070000e-01,\n", - " 5.01600000e-01, 2.02730000e-01, 9.61400000e-02, 1.21220000e-01,\n", - " 5.43400000e-02, 6.89700000e-02, 2.09000000e-03, 7.73300000e-02,\n", - " 3.55300000e-02, 1.88100000e-02, 8.56900000e-02, 3.90830000e-01,\n", - " 9.19600000e-02, 7.52400000e-02, 3.13500000e-02, 1.35850000e-01,\n", - " 8.94520000e-01, 3.78290000e-01, 1.02410000e-01, 2.48710000e-01,\n", - " 7.31500000e-02, 1.83920000e+00, 1.29580000e-01, 6.24910000e-01,\n", - " 1.25400000e-01, 1.58840000e-01, 6.47900000e-02, 1.83920000e-01,\n", - " 9.61400000e-02, 6.89700000e-02, 2.34080000e-01, 1.25400000e-02,\n", - " 3.76200000e-02, 9.82300000e-02, 7.31500000e-02, 9.61400000e-02,\n", - " 2.71700000e-02, 1.40030000e-01, 8.36000000e-01, 2.40350000e-01,\n", - " 3.78290000e-01, 2.27810000e-01, 1.31670000e-01, 2.88420000e-01,\n", - " 9.63490000e-01, 7.33590000e-01, 5.43400000e-02, 2.17360000e-01,\n", - " 1.10770000e-01, 1.44210000e-01, 3.26040000e-01, 6.20730000e-01,\n", - " 6.27000000e-03, 1.04500000e-02, 7.37770000e-01, 7.60760000e-01,\n", - " 1.17040000e-01, 1.46300000e-02, 8.15100000e-02, 5.43400000e-02,\n", - " 6.27000000e-03, 1.46300000e-02, 6.27000000e-02, 7.31500000e-02,\n", - " 8.29730000e-01, 4.01280000e-01, 4.38900000e-02, 1.23310000e-01,\n", - " 8.61080000e-01, 5.01600000e-02, 1.56332000e+00, 7.52400000e-02,\n", - " 1.12651000e+00, 1.02410000e-01, 4.45170000e-01, 8.36000000e-03,\n", - " 2.71700000e-02, 7.10600000e-02, 2.92600000e-02, 4.74430000e-01,\n", - " 2.88420000e-01, 2.27810000e-01, 3.34400000e-02, 8.98700000e-02,\n", - " 6.27000000e-03, 3.84560000e-01, 1.06590000e-01, 1.25400000e-02,\n", - " 1.75560000e-01, 6.12370000e-01, 2.17360000e-01, 2.09000000e-03,\n", - " 9.07060000e-01, 6.27000000e-02, 6.39540000e-01, 1.04500000e-02,\n", - " 6.27000000e-03, 8.15100000e-02, 3.80380000e-01, 5.85200000e-02,\n", - " 1.58840000e-01, 3.69930000e-01, 1.88100000e-02, 2.50800000e-02,\n", - " 1.32088000e+00, 8.36000000e-03, 8.36000000e-03, 6.68800000e-02,\n", - " 7.73300000e-02, 6.68800000e-02, 2.29900000e-02, 1.12860000e-01,\n", - " 9.61400000e-02, 1.33760000e-01, 1.00320000e-01, 2.88420000e-01,\n", - " 5.20410000e-01, 3.97100000e-02, 2.09000000e-02, 5.43400000e-02,\n", - " 8.98700000e-02, 9.19600000e-02, 3.00960000e-01, 3.55300000e-02,\n", - " 1.88100000e-02, 1.02410000e-01, 5.32950000e-01, 1.73470000e-01,\n", - " 9.82300000e-02, 3.70348000e+00, 4.18000000e-03, 4.59800000e-02,\n", - " 4.38900000e-02, 1.25400000e-02, 1.46300000e-02, 1.88100000e-02,\n", - " 1.67200000e-02, 1.21220000e-01, 2.92600000e-02, 3.88740000e-01,\n", - " 2.01058000e+00, 1.14950000e-01, 3.97100000e-02, 1.35850000e-01,\n", - " 7.25230000e-01, 5.64300000e-02, 3.55300000e-02, 1.56750000e-01,\n", - " 3.13500000e-02, 1.81830000e-01, 3.09320000e-01, 2.52890000e-01,\n", - " 2.29900000e-02, 1.17040000e-01, 8.15100000e-02, 6.06100000e-02,\n", - " 9.82300000e-02, 5.47580000e-01, 1.17040000e-01, 1.90190000e-01,\n", - " 3.09320000e-01, 3.76200000e-01, 2.92600000e-02, 8.36000000e-02,\n", - " 3.46940000e-01, 3.17680000e-01, 1.13278000e+00, 2.71700000e-02,\n", - " 4.15910000e-01, 5.01600000e-02, 1.23310000e-01, 1.73470000e-01,\n", - " 4.18000000e-02, 1.73470000e-01, 6.27000000e-02, 5.22500000e-02,\n", - " 1.46300000e-01, 1.65110000e-01, 3.76200000e-02, 1.67200000e-02,\n", - " 1.33760000e-01, 2.36170000e-01, 1.48390000e-01, 9.82300000e-02,\n", - " 5.64300000e-02, 6.27000000e-03, 2.38260000e-01, 6.70890000e-01,\n", - " 8.98700000e-02, 4.59800000e-02, 2.09000000e-03, 1.37940000e-01,\n", - " 9.82300000e-02, 3.13500000e-02, 3.76200000e-02, 1.65110000e-01,\n", - " 5.01600000e-02, 1.07008000e+00, 9.82300000e-02, 3.76200000e-02,\n", - " 0.00000000e+00, 2.13180000e-01, 5.01600000e-02, 6.68800000e-02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.60090114e+03, -2.52731782e+03, -1.54099511e+01, 6.65515017e+01,\n", - " 0.00000000e+00, 2.01055677e+01, 1.95593974e+02, 0.00000000e+00,\n", - " 0.00000000e+00, -2.91939510e+01, 1.61290988e+02, 7.67348207e+02,\n", - " -4.00606687e+02, -2.71867111e+03, 2.56561892e+03]), array([ 1.40030000e-01, 6.54170000e-01, 1.27699000e+00, 9.04970000e-01,\n", - " 4.80700000e-02, 8.77800000e-02, 5.85200000e-02, 1.23310000e-01,\n", - " 2.02730000e-01, 3.13500000e-02, 1.23310000e-01, 9.82300000e-02,\n", - " 2.19868000e+00, 8.36000000e-03, 2.92600000e-02, 1.88100000e-02,\n", - " 1.09725000e+00, 7.90020000e-01, 1.19130000e-01, 1.86010000e-01,\n", - " 4.38900000e-02, 2.29900000e-02, 1.25400000e-02, 0.00000000e+00,\n", - " 4.18000000e-02, 1.37940000e-01, 1.04500000e-02, 8.04650000e-01,\n", - " 1.56750000e-01, 6.45810000e-01, 3.42760000e-01, 2.61250000e-01,\n", - " 2.88420000e-01, 1.25400000e-02, 0.00000000e+00, 1.46300000e-02,\n", - " 1.63020000e-01, 7.52400000e-02, 3.76200000e-02, 2.71700000e-02,\n", - " 9.40500000e-02, 8.77800000e-02, 2.36170000e-01, 4.97420000e-01,\n", - " 7.94200000e-02, 8.25550000e-01, 2.61250000e-01, 1.05127000e+00,\n", - " 1.31670000e-01, 3.67422000e+00, 2.29900000e-02, 2.92600000e-02,\n", - " 9.61400000e-02, 6.89700000e-02, 1.54660000e-01, 3.76200000e-02,\n", - " 1.37940000e-01, 1.09934000e+00, 1.90817000e+00, 5.12050000e-01,\n", - " 3.57390000e-01, 3.13500000e-01, 1.25400000e-01, 5.35040000e-01,\n", - " 6.47900000e-02, 5.22500000e-02, 5.09960000e-01, 4.34720000e-01,\n", - " 2.09000000e-02, 0.00000000e+00, 9.61400000e-02, 9.82300000e-02,\n", - " 8.36000000e-03, 2.29900000e-02, 1.75560000e-01, 3.59480000e-01,\n", - " 2.13180000e-01, 6.89700000e-02, 7.10600000e-02, 5.26680000e-01,\n", - " 1.22474000e+00, 1.08889000e+00, 2.38260000e-01, 3.84560000e-01,\n", - " 4.49350000e-01, 5.01600000e-01, 5.64300000e-02, 1.17040000e-01,\n", - " 2.09000000e-02, 2.50800000e-02, 3.76200000e-02, 0.00000000e+00,\n", - " 1.04500000e-02, 2.92600000e-02, 4.24270000e-01, 1.10770000e-01,\n", - " 1.25400000e-02, 0.00000000e+00, 3.13500000e-02, 3.40670000e-01,\n", - " 2.71700000e-01, 9.69760000e-01, 1.27072000e+00, 2.36170000e-01,\n", - " 3.76200000e-02, 1.88100000e-02, 9.82300000e-02, 1.88100000e-02,\n", - " 5.62210000e-01, 4.36810000e-01, 1.33760000e-01, 1.08680000e-01,\n", - " 1.13905000e+00, 2.29900000e-01, 0.00000000e+00, 5.49670000e-01,\n", - " 3.61570000e-01, 1.78486000e+00, 2.88420000e-01, 8.54810000e-01,\n", - " 1.77650000e-01, 2.42440000e-01, 6.62530000e-01, 1.11188000e+00,\n", - " 9.94840000e-01, 1.99177000e+00, 2.96780000e-01, 1.27490000e-01,\n", - " 8.46450000e-01, 1.04918000e+00, 3.57390000e-01, 1.96460000e-01,\n", - " 4.18000000e-02, 1.67200000e-01, 3.11410000e-01, 2.17360000e-01,\n", - " 1.83920000e-01, 5.43400000e-01, 1.54660000e-01, 5.22500000e-02,\n", - " 1.03873000e+00, 8.84070000e-01, 7.75390000e-01, 8.10920000e-01,\n", - " 1.23310000e-01, 1.40030000e-01, 2.71700000e-02, 7.31500000e-02,\n", - " 1.50480000e-01, 2.88420000e-01, 0.00000000e+00, 0.00000000e+00,\n", - " 2.07537000e+00, 3.01796000e+00, 6.55215000e+00, 1.71380000e-01,\n", - " 1.88100000e-01, 1.02410000e-01, 2.29900000e-02, 2.50800000e-02,\n", - " 6.27000000e-02, 5.43400000e-02, 3.36490000e-01, 3.07230000e-01,\n", - " 2.88420000e-01, 8.36000000e-02, 2.16524000e+00, 3.96473000e+00,\n", - " 6.06100000e-02, 5.22500000e-02, 1.40030000e-01, 5.64300000e-02,\n", - " 6.27000000e-02, 1.48390000e-01, 2.80060000e-01, 1.00320000e-01,\n", - " 1.42120000e-01, 1.46300000e-01, 1.88100000e-02, 3.57390000e-01,\n", - " 4.59800000e-02, 1.10770000e-01, 1.31670000e-01, 3.40670000e-01,\n", - " 2.65430000e-01, 2.29900000e-02, 3.95010000e-01, 1.19130000e-01,\n", - " 8.56900000e-02, 9.40500000e-02, 2.21540000e-01, 1.12860000e-01,\n", - " 2.44530000e-01, 1.25400000e-02, 1.14950000e-01, 7.10600000e-02,\n", - " 1.00320000e-01, 3.55300000e-02, 4.09431000e+00, 1.04500000e-01,\n", - " 9.19600000e-02, 4.18000000e+00, 1.50480000e-01, 2.71700000e-02,\n", - " 0.00000000e+00, 2.71700000e-02, 1.25400000e-02, 1.04500000e-01,\n", - " 1.44210000e-01, 2.92600000e-02, 1.10770000e-01, 1.37940000e+00,\n", - " 8.79890000e-01, 1.06381000e+00, 3.71184000e+00, 3.22278000e+00,\n", - " 8.77800000e-02, 5.01600000e-02, 8.44360000e-01, 5.43400000e-01,\n", - " 1.83711000e+00, 1.30416000e+00, 1.88100000e-02, 4.59800000e-01,\n", - " 1.31670000e-01, 1.86637000e+00, 1.04500000e-02, 1.46300000e-02,\n", - " 2.29900000e-02, 1.04500000e-02, 6.58350000e-01, 5.20410000e-01,\n", - " 5.22500000e-01, 1.64065000e+00, 8.56900000e-02, 2.09000000e-02,\n", - " 8.17190000e-01, 2.71700000e-02, 8.56900000e-02, 1.31879000e+00,\n", - " 8.98700000e-02, 8.36000000e-02, 7.94200000e-02, 9.19600000e-02,\n", - " 4.80700000e-02, 1.06799000e+00, 6.06100000e-01, 1.88100000e-01,\n", - " 2.86330000e-01, 1.00320000e-01, 1.88100000e-02, 5.35040000e-01,\n", - " 3.34400000e-01, 7.62850000e-01, 7.52400000e-02, 1.33760000e-01,\n", - " 4.80700000e-02, 7.73300000e-02, 1.56750000e-01, 5.99830000e-01,\n", - " 1.69290000e-01, 6.16550000e-01, 2.36170000e-01, 8.77800000e-02,\n", - " 1.83920000e-01, 3.15590000e-01, 5.26680000e-01, 1.43792000e+00,\n", - " 1.60930000e-01, 7.62850000e-01, 7.10600000e-02, 6.89700000e-02,\n", - " 1.88100000e-01, 3.82470000e-01, 1.46300000e-01, 4.34720000e-01,\n", - " 2.92600000e-02, 9.82300000e-02, 5.43400000e-01, 2.84240000e-01,\n", - " 3.55300000e-02, 6.47900000e-02, 2.27810000e-01, 1.31670000e-01,\n", - " 2.48710000e-01, 1.67200000e-01, 2.29900000e-02, 7.31500000e-02,\n", - " 1.67200000e-02, 2.09000000e-03, 8.48540000e-01, 1.13487000e+00,\n", - " 5.43400000e-02, 3.97100000e-02, 2.51009000e+00, 1.13278000e+00,\n", - " 2.15270000e-01, 8.48540000e-01, 1.31670000e-01, 4.43080000e-01,\n", - " 5.85200000e-02, 5.22500000e-02, 5.91470000e-01, 7.10600000e-02,\n", - " 2.71700000e-02, 4.11730000e-01, 2.31990000e-01, 1.08680000e-01,\n", - " 9.57220000e-01, 3.34400000e-02, 7.73300000e-02, 3.97100000e-02,\n", - " 5.64300000e-02, 2.09000000e-02, 1.30625000e+00, 6.81340000e-01,\n", - " 7.73300000e-02, 3.55300000e-02, 5.55940000e-01, 5.85200000e-02,\n", - " 2.77970000e-01, 2.09000000e-03, 2.57070000e-01, 3.30220000e-01,\n", - " 9.40500000e-02, 3.11410000e-01, 5.22500000e-02, 1.66155000e+00,\n", - " 7.10600000e-02, 6.89700000e-02, 6.47900000e-02, 2.39096000e+00,\n", - " 7.31500000e-02, 1.73470000e-01, 1.88100000e-02, 1.04500000e-02,\n", - " 5.78930000e-01, 2.06910000e-01, 1.67200000e-02, 0.00000000e+00,\n", - " 7.35680000e-01, 3.80380000e-01, 1.09516000e+00, 4.76520000e-01,\n", - " 1.25400000e-02, 8.36000000e-03, 6.27000000e-02, 2.84240000e-01,\n", - " 3.36490000e-01, 5.22500000e-02, 0.00000000e+00, 1.88100000e-02,\n", - " 1.96460000e-01, 3.76200000e-02, 6.68800000e-02, 1.10770000e-01,\n", - " 7.33590000e-01, 4.80700000e-01, 1.46300000e-02, 5.01600000e-02,\n", - " 2.71700000e-02, 2.09000000e-02, 2.09000000e-02, 6.27000000e-02,\n", - " 6.27000000e-02, 8.04650000e-01, 7.67030000e-01, 5.85200000e-02,\n", - " 8.15100000e-02, 3.13500000e-02, 2.29900000e-02, 6.89700000e-02,\n", - " 2.09000000e-02, 2.09000000e-02, 1.42120000e-01, 1.08680000e-01,\n", - " 1.48390000e-01, 1.86010000e-01, 1.58631000e+00, 3.26040000e-01,\n", - " 2.88420000e-01, 3.00960000e-01, 5.62210000e-01, 4.18000000e-02,\n", - " 2.71700000e-01, 7.75390000e-01, 5.43400000e-02, 2.20704000e+00,\n", - " 1.65319000e+00, 1.01365000e+00, 1.12860000e-01, 3.13500000e-02,\n", - " 1.84965000e+00, 4.68160000e-01, 7.79570000e-01, 1.71380000e-01,\n", - " 3.97100000e-02, 6.39540000e-01, 5.14140000e-01, 2.09000000e-02,\n", - " 8.36000000e-03, 6.27000000e-03, 1.88100000e-01, 8.36000000e-03,\n", - " 8.71530000e-01, 1.86846000e+00, 8.36000000e-02, 1.71380000e-01,\n", - " 3.84560000e-01, 1.04500000e-02, 4.80700000e-02, 5.64300000e-01,\n", - " 6.06100000e-02, 1.00320000e-01, 2.15270000e-01, 1.17249000e+00,\n", - " 6.45810000e-01, 1.33760000e-01, 2.11090000e-01, 2.80060000e-01,\n", - " 3.13500000e-02, 1.42120000e-01, 1.79740000e-01, 7.52400000e-02,\n", - " 1.04500000e-02, 1.12860000e-01, 5.43400000e-02, 5.22500000e-02,\n", - " 1.19130000e-01, 1.48390000e-01, 2.19450000e-01, 5.85200000e-02,\n", - " 6.27000000e-03, 7.94200000e-02, 1.00947000e+00, 5.64300000e-02,\n", - " 4.93240000e-01, 5.01600000e-02, 1.79740000e-01, 1.02410000e+00,\n", - " 1.60721000e+00, 3.59480000e-01, 6.85520000e-01, 7.94200000e-02,\n", - " 7.31500000e-02, 5.22500000e-02, 3.82470000e-01, 6.27000000e-02,\n", - " 6.68800000e-02, 3.76200000e-02, 1.04500000e-01, 1.00320000e-01,\n", - " 1.06590000e+00, 3.07230000e-01, 1.21220000e-01, 2.09000000e-03,\n", - " 1.02410000e-01, 3.86650000e-01, 4.45170000e-01, 4.18000000e-01,\n", - " 3.97100000e-02, 1.54660000e-01, 2.92600000e-01, 5.22500000e-02,\n", - " 1.31670000e-01, 7.94200000e-02, 3.55300000e-02, 5.85200000e-02,\n", - " 1.27490000e-01, 9.82300000e-02, 8.56900000e-02, 1.67200000e-02,\n", - " 6.29090000e-01, 8.00470000e-01, 3.13500000e-02, 3.34400000e-02,\n", - " 7.31500000e-02, 2.33662000e+00, 1.26445000e+00, 2.71700000e-02,\n", - " 8.92430000e-01, 4.63980000e-01, 2.09000000e-03, 8.98700000e-02,\n", - " 5.01600000e-02, 4.26360000e-01, 6.27000000e-01, 8.61080000e-01,\n", - " 5.85200000e-02, 1.67409000e+00, 2.86330000e-01, 1.21220000e+00,\n", - " 1.56750000e-01, 2.19450000e-01, 9.34230000e-01, 7.06420000e-01,\n", - " 2.90510000e-01, 3.32310000e-01, 0.00000000e+00, 2.09000000e-01,\n", - " 1.86010000e-01, 2.50800000e-02, 1.25400000e-02, 2.29900000e-02,\n", - " 3.55300000e-02, 6.68800000e-02, 1.37940000e-01, 9.40500000e-02,\n", - " 7.94200000e-02, 3.74110000e-01, 4.07550000e-01, 8.36000000e-03,\n", - " 8.15100000e-02, 1.12860000e-01, 5.01600000e-02, 7.73300000e-02,\n", - " 4.18000000e-02, 1.35850000e-01, 3.49030000e-01, 5.01600000e-02,\n", - " 3.97100000e-02, 2.29064000e+00, 8.98700000e-02, 7.73300000e-02,\n", - " 6.68800000e-02, 4.28450000e-01, 9.82300000e-02, 3.55300000e-02,\n", - " 3.00960000e-01, 7.94200000e-02, 5.53850000e-01, 1.46300000e-01,\n", - " 1.25191000e+00, 9.04970000e-01, 8.56900000e-01, 7.73300000e-02,\n", - " 8.36000000e-03, 9.82300000e-02, 2.29900000e-02, 5.64300000e-02,\n", - " 1.16204000e+00, 6.06100000e-02, 6.27000000e-03, 3.34400000e-02,\n", - " 7.77480000e-01, 1.96460000e-01, 4.59800000e-02, 1.58840000e-01,\n", - " 7.69120000e-01, 1.39612000e+00, 2.55816000e+00, 2.96780000e-01,\n", - " 1.34596000e+00, 1.80785000e+00, 1.56750000e-01, 8.15100000e-02,\n", - " 2.19450000e-01, 3.06812000e+00, 1.63856000e+00, 8.36000000e-03,\n", - " 9.40500000e-02, 1.37940000e-01, 5.85200000e-02, 2.67520000e-01,\n", - " 1.21220000e-01, 2.09000000e-01, 2.31990000e-01, 1.23519000e+00,\n", - " 2.90510000e-01, 1.67200000e-02, 3.51120000e-01, 5.53850000e-01,\n", - " 3.32310000e-01, 2.90510000e-01, 1.88100000e-02, 1.60930000e-01,\n", - " 9.82300000e-02, 3.55300000e-02, 1.88100000e-02, 1.54451000e+00,\n", - " 1.12860000e-01, 4.38900000e-02, 1.46300000e-01, 2.80060000e-01,\n", - " 1.65319000e+00, 9.23780000e-01, 1.44210000e-01, 2.00640000e-01,\n", - " 8.10920000e-01, 1.14950000e-01, 1.96460000e-01, 6.27000000e-01,\n", - " 5.30860000e-01, 7.73300000e-02, 9.63490000e-01, 8.77800000e-02,\n", - " 1.91862000e+00, 1.02410000e-01, 3.07230000e-01, 1.46300000e-02,\n", - " 1.04500000e-02, 2.71700000e-02, 1.58840000e-01, 1.06590000e-01,\n", - " 1.71380000e-01, 9.40500000e-02, 7.31500000e-02, 8.98700000e-02,\n", - " 3.15590000e-01, 1.08680000e-01, 4.38900000e-02, 4.18000000e-01,\n", - " 3.55300000e-02, 1.34178000e+00, 3.23950000e-01, 3.30220000e-01,\n", - " 7.73300000e-02, 1.21220000e-01, 4.59800000e-02, 1.49226000e+00,\n", - " 5.85200000e-02, 2.71700000e-02, 3.11410000e-01, 2.76716000e+00,\n", - " 4.18000000e-02, 6.68800000e-02, 8.36000000e-03, 1.27908000e+00,\n", - " 2.09000000e-02, 2.88420000e-01, 4.18000000e-02, 1.15159000e+00,\n", - " 4.68160000e-01, 1.88100000e-02, 4.18000000e-03, 7.73300000e-01,\n", - " 1.46300000e-02, 1.27490000e-01, 4.26360000e-01, 1.12860000e-01,\n", - " 5.16230000e-01, 1.73470000e-01, 3.67840000e-01, 5.85200000e-02,\n", - " 1.08680000e-01, 1.88100000e-02, 1.59049000e+00, 1.63020000e+00,\n", - " 3.53210000e-01, 8.67350000e-01, 1.78068000e+00, 6.89700000e-02,\n", - " 1.04500000e-02, 3.55300000e-02, 7.31500000e-02, 9.40500000e-02,\n", - " 3.13500000e-02, 1.25400000e-02, 6.89700000e-02, 1.67200000e-01,\n", - " 2.31990000e-01, 6.89700000e-02, 3.76200000e-02, 3.55300000e-02,\n", - " 4.80700000e-02, 6.27000000e-03, 1.54660000e-01, 7.94200000e-02,\n", - " 3.76200000e-02, 1.94370000e-01, 1.67200000e-02, 2.98870000e-01,\n", - " 5.09960000e-01, 1.86010000e-01, 4.84880000e-01, 8.79890000e-01,\n", - " 2.77970000e-01, 1.33760000e+00, 1.46300000e-01, 2.57070000e-01,\n", - " 5.01600000e-01, 2.02730000e-01, 9.61400000e-02, 1.21220000e-01,\n", - " 5.43400000e-02, 6.89700000e-02, 2.09000000e-03, 7.73300000e-02,\n", - " 3.55300000e-02, 1.88100000e-02, 8.56900000e-02, 3.90830000e-01,\n", - " 9.19600000e-02, 7.52400000e-02, 3.13500000e-02, 1.35850000e-01,\n", - " 8.94520000e-01, 3.78290000e-01, 1.02410000e-01, 2.48710000e-01,\n", - " 7.31500000e-02, 1.83920000e+00, 1.29580000e-01, 6.24910000e-01,\n", - " 1.25400000e-01, 1.58840000e-01, 6.47900000e-02, 1.83920000e-01,\n", - " 9.61400000e-02, 6.89700000e-02, 2.34080000e-01, 1.25400000e-02,\n", - " 3.76200000e-02, 9.82300000e-02, 7.31500000e-02, 9.61400000e-02,\n", - " 2.71700000e-02, 1.40030000e-01, 8.36000000e-01, 2.40350000e-01,\n", - " 3.78290000e-01, 2.27810000e-01, 1.31670000e-01, 2.88420000e-01,\n", - " 9.63490000e-01, 7.33590000e-01, 5.43400000e-02, 2.17360000e-01,\n", - " 1.10770000e-01, 1.44210000e-01, 3.26040000e-01, 6.20730000e-01,\n", - " 6.27000000e-03, 1.04500000e-02, 7.37770000e-01, 7.60760000e-01,\n", - " 1.17040000e-01, 1.46300000e-02, 8.15100000e-02, 5.43400000e-02,\n", - " 6.27000000e-03, 1.46300000e-02, 6.27000000e-02, 7.31500000e-02,\n", - " 8.29730000e-01, 4.01280000e-01, 4.38900000e-02, 1.23310000e-01,\n", - " 8.61080000e-01, 5.01600000e-02, 1.56332000e+00, 7.52400000e-02,\n", - " 1.12651000e+00, 1.02410000e-01, 4.45170000e-01, 8.36000000e-03,\n", - " 2.71700000e-02, 7.10600000e-02, 2.92600000e-02, 4.74430000e-01,\n", - " 2.88420000e-01, 2.27810000e-01, 3.34400000e-02, 8.98700000e-02,\n", - " 6.27000000e-03, 3.84560000e-01, 1.06590000e-01, 1.25400000e-02,\n", - " 1.75560000e-01, 6.12370000e-01, 2.17360000e-01, 2.09000000e-03,\n", - " 9.07060000e-01, 6.27000000e-02, 6.39540000e-01, 1.04500000e-02,\n", - " 6.27000000e-03, 8.15100000e-02, 3.80380000e-01, 5.85200000e-02,\n", - " 1.58840000e-01, 3.69930000e-01, 1.88100000e-02, 2.50800000e-02,\n", - " 1.32088000e+00, 8.36000000e-03, 8.36000000e-03, 6.68800000e-02,\n", - " 7.73300000e-02, 6.68800000e-02, 2.29900000e-02, 1.12860000e-01,\n", - " 9.61400000e-02, 1.33760000e-01, 1.00320000e-01, 2.88420000e-01,\n", - " 5.20410000e-01, 3.97100000e-02, 2.09000000e-02, 5.43400000e-02,\n", - " 8.98700000e-02, 9.19600000e-02, 3.00960000e-01, 3.55300000e-02,\n", - " 1.88100000e-02, 1.02410000e-01, 5.32950000e-01, 1.73470000e-01,\n", - " 9.82300000e-02, 3.70348000e+00, 4.18000000e-03, 4.59800000e-02,\n", - " 4.38900000e-02, 1.25400000e-02, 1.46300000e-02, 1.88100000e-02,\n", - " 1.67200000e-02, 1.21220000e-01, 2.92600000e-02, 3.88740000e-01,\n", - " 2.01058000e+00, 1.14950000e-01, 3.97100000e-02, 1.35850000e-01,\n", - " 7.25230000e-01, 5.64300000e-02, 3.55300000e-02, 1.56750000e-01,\n", - " 3.13500000e-02, 1.81830000e-01, 3.09320000e-01, 2.52890000e-01,\n", - " 2.29900000e-02, 1.17040000e-01, 8.15100000e-02, 6.06100000e-02,\n", - " 9.82300000e-02, 5.47580000e-01, 1.17040000e-01, 1.90190000e-01,\n", - " 3.09320000e-01, 3.76200000e-01, 2.92600000e-02, 8.36000000e-02,\n", - " 3.46940000e-01, 3.17680000e-01, 1.13278000e+00, 2.71700000e-02,\n", - " 4.15910000e-01, 5.01600000e-02, 1.23310000e-01, 1.73470000e-01,\n", - " 4.18000000e-02, 1.73470000e-01, 6.27000000e-02, 5.22500000e-02,\n", - " 1.46300000e-01, 1.65110000e-01, 3.76200000e-02, 1.67200000e-02,\n", - " 1.33760000e-01, 2.36170000e-01, 1.48390000e-01, 9.82300000e-02,\n", - " 5.64300000e-02, 6.27000000e-03, 2.38260000e-01, 6.70890000e-01,\n", - " 8.98700000e-02, 4.59800000e-02, 2.09000000e-03, 1.37940000e-01,\n", - " 9.82300000e-02, 3.13500000e-02, 3.76200000e-02, 1.65110000e-01,\n", - " 5.01600000e-02, 1.07008000e+00, 9.82300000e-02, 3.76200000e-02,\n", - " 0.00000000e+00, 2.13180000e-01, 5.01600000e-02, 6.68800000e-02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.58840926e+03, -2.52731782e+03, -1.54099637e+01, 6.53028775e+01,\n", - " 0.00000000e+00, 1.91824345e+01, 1.95532709e+02, 0.00000000e+00,\n", - " 0.00000000e+00, -2.91939352e+01, 1.22203744e+02, 4.52715462e+02,\n", - " 0.00000000e+00, -2.70261449e+03, 2.51740115e+03]), array([ 1.73530000e-01, 8.10670000e-01, 1.58249000e+00, 1.12147000e+00,\n", - " 5.95700000e-02, 1.08780000e-01, 7.25200000e-02, 1.52810000e-01,\n", - " 2.51230000e-01, 3.88500000e-02, 1.52810000e-01, 1.21730000e-01,\n", - " 2.72468000e+00, 1.03600000e-02, 3.62600000e-02, 2.33100000e-02,\n", - " 1.35975000e+00, 9.79020000e-01, 1.47630000e-01, 2.30510000e-01,\n", - " 5.43900000e-02, 2.84900000e-02, 1.55400000e-02, 0.00000000e+00,\n", - " 5.18000000e-02, 1.70940000e-01, 1.29500000e-02, 9.97150000e-01,\n", - " 1.94250000e-01, 8.00310000e-01, 4.24760000e-01, 3.23750000e-01,\n", - " 3.57420000e-01, 1.55400000e-02, 0.00000000e+00, 1.81300000e-02,\n", - " 2.02020000e-01, 9.32400000e-02, 4.66200000e-02, 3.36700000e-02,\n", - " 1.16550000e-01, 1.08780000e-01, 2.92670000e-01, 6.16420000e-01,\n", - " 9.84200000e-02, 1.02305000e+00, 3.23750000e-01, 1.30277000e+00,\n", - " 1.63170000e-01, 4.55322000e+00, 2.84900000e-02, 3.62600000e-02,\n", - " 1.19140000e-01, 8.54700000e-02, 1.91660000e-01, 4.66200000e-02,\n", - " 1.70940000e-01, 1.36234000e+00, 2.36467000e+00, 6.34550000e-01,\n", - " 4.42890000e-01, 3.88500000e-01, 1.55400000e-01, 6.63040000e-01,\n", - " 8.02900000e-02, 6.47500000e-02, 6.31960000e-01, 5.38720000e-01,\n", - " 2.59000000e-02, 0.00000000e+00, 1.19140000e-01, 1.21730000e-01,\n", - " 1.03600000e-02, 2.84900000e-02, 2.17560000e-01, 4.45480000e-01,\n", - " 2.64180000e-01, 8.54700000e-02, 8.80600000e-02, 6.52680000e-01,\n", - " 1.51774000e+00, 1.34939000e+00, 2.95260000e-01, 4.76560000e-01,\n", - " 5.56850000e-01, 6.21600000e-01, 6.99300000e-02, 1.45040000e-01,\n", - " 2.59000000e-02, 3.10800000e-02, 4.66200000e-02, 0.00000000e+00,\n", - " 1.29500000e-02, 3.62600000e-02, 5.25770000e-01, 1.37270000e-01,\n", - " 1.55400000e-02, 0.00000000e+00, 3.88500000e-02, 4.22170000e-01,\n", - " 3.36700000e-01, 1.20176000e+00, 1.57472000e+00, 2.92670000e-01,\n", - " 4.66200000e-02, 2.33100000e-02, 1.21730000e-01, 2.33100000e-02,\n", - " 6.96710000e-01, 5.41310000e-01, 1.65760000e-01, 1.34680000e-01,\n", - " 1.41155000e+00, 2.84900000e-01, 0.00000000e+00, 6.81170000e-01,\n", - " 4.48070000e-01, 2.21186000e+00, 3.57420000e-01, 1.05931000e+00,\n", - " 2.20150000e-01, 3.00440000e-01, 8.21030000e-01, 1.37788000e+00,\n", - " 1.23284000e+00, 2.46827000e+00, 3.67780000e-01, 1.57990000e-01,\n", - " 1.04895000e+00, 1.30018000e+00, 4.42890000e-01, 2.43460000e-01,\n", - " 5.18000000e-02, 2.07200000e-01, 3.85910000e-01, 2.69360000e-01,\n", - " 2.27920000e-01, 6.73400000e-01, 1.91660000e-01, 6.47500000e-02,\n", - " 1.28723000e+00, 1.09557000e+00, 9.60890000e-01, 1.00492000e+00,\n", - " 1.52810000e-01, 1.73530000e-01, 3.36700000e-02, 9.06500000e-02,\n", - " 1.86480000e-01, 3.57420000e-01, 0.00000000e+00, 0.00000000e+00,\n", - " 2.57187000e+00, 3.73996000e+00, 8.11965000e+00, 2.12380000e-01,\n", - " 2.33100000e-01, 1.26910000e-01, 2.84900000e-02, 3.10800000e-02,\n", - " 7.77000000e-02, 6.73400000e-02, 4.16990000e-01, 3.80730000e-01,\n", - " 3.57420000e-01, 1.03600000e-01, 2.68324000e+00, 4.91323000e+00,\n", - " 7.51100000e-02, 6.47500000e-02, 1.73530000e-01, 6.99300000e-02,\n", - " 7.77000000e-02, 1.83890000e-01, 3.47060000e-01, 1.24320000e-01,\n", - " 1.76120000e-01, 1.81300000e-01, 2.33100000e-02, 4.42890000e-01,\n", - " 5.69800000e-02, 1.37270000e-01, 1.63170000e-01, 4.22170000e-01,\n", - " 3.28930000e-01, 2.84900000e-02, 4.89510000e-01, 1.47630000e-01,\n", - " 1.06190000e-01, 1.16550000e-01, 2.74540000e-01, 1.39860000e-01,\n", - " 3.03030000e-01, 1.55400000e-02, 1.42450000e-01, 8.80600000e-02,\n", - " 1.24320000e-01, 4.40300000e-02, 5.07381000e+00, 1.29500000e-01,\n", - " 1.13960000e-01, 5.18000000e+00, 1.86480000e-01, 3.36700000e-02,\n", - " 0.00000000e+00, 3.36700000e-02, 1.55400000e-02, 1.29500000e-01,\n", - " 1.78710000e-01, 3.62600000e-02, 1.37270000e-01, 1.70940000e+00,\n", - " 1.09039000e+00, 1.31831000e+00, 4.59984000e+00, 3.99378000e+00,\n", - " 1.08780000e-01, 6.21600000e-02, 1.04636000e+00, 6.73400000e-01,\n", - " 2.27661000e+00, 1.61616000e+00, 2.33100000e-02, 5.69800000e-01,\n", - " 1.63170000e-01, 2.31287000e+00, 1.29500000e-02, 1.81300000e-02,\n", - " 2.84900000e-02, 1.29500000e-02, 8.15850000e-01, 6.44910000e-01,\n", - " 6.47500000e-01, 2.03315000e+00, 1.06190000e-01, 2.59000000e-02,\n", - " 1.01269000e+00, 3.36700000e-02, 1.06190000e-01, 1.63429000e+00,\n", - " 1.11370000e-01, 1.03600000e-01, 9.84200000e-02, 1.13960000e-01,\n", - " 5.95700000e-02, 1.32349000e+00, 7.51100000e-01, 2.33100000e-01,\n", - " 3.54830000e-01, 1.24320000e-01, 2.33100000e-02, 6.63040000e-01,\n", - " 4.14400000e-01, 9.45350000e-01, 9.32400000e-02, 1.65760000e-01,\n", - " 5.95700000e-02, 9.58300000e-02, 1.94250000e-01, 7.43330000e-01,\n", - " 2.09790000e-01, 7.64050000e-01, 2.92670000e-01, 1.08780000e-01,\n", - " 2.27920000e-01, 3.91090000e-01, 6.52680000e-01, 1.78192000e+00,\n", - " 1.99430000e-01, 9.45350000e-01, 8.80600000e-02, 8.54700000e-02,\n", - " 2.33100000e-01, 4.73970000e-01, 1.81300000e-01, 5.38720000e-01,\n", - " 3.62600000e-02, 1.21730000e-01, 6.73400000e-01, 3.52240000e-01,\n", - " 4.40300000e-02, 8.02900000e-02, 2.82310000e-01, 1.63170000e-01,\n", - " 3.08210000e-01, 2.07200000e-01, 2.84900000e-02, 9.06500000e-02,\n", - " 2.07200000e-02, 2.59000000e-03, 1.05154000e+00, 1.40637000e+00,\n", - " 6.73400000e-02, 4.92100000e-02, 3.11059000e+00, 1.40378000e+00,\n", - " 2.66770000e-01, 1.05154000e+00, 1.63170000e-01, 5.49080000e-01,\n", - " 7.25200000e-02, 6.47500000e-02, 7.32970000e-01, 8.80600000e-02,\n", - " 3.36700000e-02, 5.10230000e-01, 2.87490000e-01, 1.34680000e-01,\n", - " 1.18622000e+00, 4.14400000e-02, 9.58300000e-02, 4.92100000e-02,\n", - " 6.99300000e-02, 2.59000000e-02, 1.61875000e+00, 8.44340000e-01,\n", - " 9.58300000e-02, 4.40300000e-02, 6.88940000e-01, 7.25200000e-02,\n", - " 3.44470000e-01, 2.59000000e-03, 3.18570000e-01, 4.09220000e-01,\n", - " 1.16550000e-01, 3.85910000e-01, 6.47500000e-02, 2.05905000e+00,\n", - " 8.80600000e-02, 8.54700000e-02, 8.02900000e-02, 2.96296000e+00,\n", - " 9.06500000e-02, 2.14970000e-01, 2.33100000e-02, 1.29500000e-02,\n", - " 7.17430000e-01, 2.56410000e-01, 2.07200000e-02, 0.00000000e+00,\n", - " 9.11680000e-01, 4.71380000e-01, 1.35716000e+00, 5.90520000e-01,\n", - " 1.55400000e-02, 1.03600000e-02, 7.77000000e-02, 3.52240000e-01,\n", - " 4.16990000e-01, 6.47500000e-02, 0.00000000e+00, 2.33100000e-02,\n", - " 2.43460000e-01, 4.66200000e-02, 8.28800000e-02, 1.37270000e-01,\n", - " 9.09090000e-01, 5.95700000e-01, 1.81300000e-02, 6.21600000e-02,\n", - " 3.36700000e-02, 2.59000000e-02, 2.59000000e-02, 7.77000000e-02,\n", - " 7.77000000e-02, 9.97150000e-01, 9.50530000e-01, 7.25200000e-02,\n", - " 1.01010000e-01, 3.88500000e-02, 2.84900000e-02, 8.54700000e-02,\n", - " 2.59000000e-02, 2.59000000e-02, 1.76120000e-01, 1.34680000e-01,\n", - " 1.83890000e-01, 2.30510000e-01, 1.96581000e+00, 4.04040000e-01,\n", - " 3.57420000e-01, 3.72960000e-01, 6.96710000e-01, 5.18000000e-02,\n", - " 3.36700000e-01, 9.60890000e-01, 6.73400000e-02, 2.73504000e+00,\n", - " 2.04869000e+00, 1.25615000e+00, 1.39860000e-01, 3.88500000e-02,\n", - " 2.29215000e+00, 5.80160000e-01, 9.66070000e-01, 2.12380000e-01,\n", - " 4.92100000e-02, 7.92540000e-01, 6.37140000e-01, 2.59000000e-02,\n", - " 1.03600000e-02, 7.77000000e-03, 2.33100000e-01, 1.03600000e-02,\n", - " 1.08003000e+00, 2.31546000e+00, 1.03600000e-01, 2.12380000e-01,\n", - " 4.76560000e-01, 1.29500000e-02, 5.95700000e-02, 6.99300000e-01,\n", - " 7.51100000e-02, 1.24320000e-01, 2.66770000e-01, 1.45299000e+00,\n", - " 8.00310000e-01, 1.65760000e-01, 2.61590000e-01, 3.47060000e-01,\n", - " 3.88500000e-02, 1.76120000e-01, 2.22740000e-01, 9.32400000e-02,\n", - " 1.29500000e-02, 1.39860000e-01, 6.73400000e-02, 6.47500000e-02,\n", - " 1.47630000e-01, 1.83890000e-01, 2.71950000e-01, 7.25200000e-02,\n", - " 7.77000000e-03, 9.84200000e-02, 1.25097000e+00, 6.99300000e-02,\n", - " 6.11240000e-01, 6.21600000e-02, 2.22740000e-01, 1.26910000e+00,\n", - " 1.99171000e+00, 4.45480000e-01, 8.49520000e-01, 9.84200000e-02,\n", - " 9.06500000e-02, 6.47500000e-02, 4.73970000e-01, 7.77000000e-02,\n", - " 8.28800000e-02, 4.66200000e-02, 1.29500000e-01, 1.24320000e-01,\n", - " 1.32090000e+00, 3.80730000e-01, 1.50220000e-01, 2.59000000e-03,\n", - " 1.26910000e-01, 4.79150000e-01, 5.51670000e-01, 5.18000000e-01,\n", - " 4.92100000e-02, 1.91660000e-01, 3.62600000e-01, 6.47500000e-02,\n", - " 1.63170000e-01, 9.84200000e-02, 4.40300000e-02, 7.25200000e-02,\n", - " 1.57990000e-01, 1.21730000e-01, 1.06190000e-01, 2.07200000e-02,\n", - " 7.79590000e-01, 9.91970000e-01, 3.88500000e-02, 4.14400000e-02,\n", - " 9.06500000e-02, 2.89562000e+00, 1.56695000e+00, 3.36700000e-02,\n", - " 1.10593000e+00, 5.74980000e-01, 2.59000000e-03, 1.11370000e-01,\n", - " 6.21600000e-02, 5.28360000e-01, 7.77000000e-01, 1.06708000e+00,\n", - " 7.25200000e-02, 2.07459000e+00, 3.54830000e-01, 1.50220000e+00,\n", - " 1.94250000e-01, 2.71950000e-01, 1.15773000e+00, 8.75420000e-01,\n", - " 3.60010000e-01, 4.11810000e-01, 0.00000000e+00, 2.59000000e-01,\n", - " 2.30510000e-01, 3.10800000e-02, 1.55400000e-02, 2.84900000e-02,\n", - " 4.40300000e-02, 8.28800000e-02, 1.70940000e-01, 1.16550000e-01,\n", - " 9.84200000e-02, 4.63610000e-01, 5.05050000e-01, 1.03600000e-02,\n", - " 1.01010000e-01, 1.39860000e-01, 6.21600000e-02, 9.58300000e-02,\n", - " 5.18000000e-02, 1.68350000e-01, 4.32530000e-01, 6.21600000e-02,\n", - " 4.92100000e-02, 2.83864000e+00, 1.11370000e-01, 9.58300000e-02,\n", - " 8.28800000e-02, 5.30950000e-01, 1.21730000e-01, 4.40300000e-02,\n", - " 3.72960000e-01, 9.84200000e-02, 6.86350000e-01, 1.81300000e-01,\n", - " 1.55141000e+00, 1.12147000e+00, 1.06190000e+00, 9.58300000e-02,\n", - " 1.03600000e-02, 1.21730000e-01, 2.84900000e-02, 6.99300000e-02,\n", - " 1.44004000e+00, 7.51100000e-02, 7.77000000e-03, 4.14400000e-02,\n", - " 9.63480000e-01, 2.43460000e-01, 5.69800000e-02, 1.96840000e-01,\n", - " 9.53120000e-01, 1.73012000e+00, 3.17016000e+00, 3.67780000e-01,\n", - " 1.66796000e+00, 2.24035000e+00, 1.94250000e-01, 1.01010000e-01,\n", - " 2.71950000e-01, 3.80212000e+00, 2.03056000e+00, 1.03600000e-02,\n", - " 1.16550000e-01, 1.70940000e-01, 7.25200000e-02, 3.31520000e-01,\n", - " 1.50220000e-01, 2.59000000e-01, 2.87490000e-01, 1.53069000e+00,\n", - " 3.60010000e-01, 2.07200000e-02, 4.35120000e-01, 6.86350000e-01,\n", - " 4.11810000e-01, 3.60010000e-01, 2.33100000e-02, 1.99430000e-01,\n", - " 1.21730000e-01, 4.40300000e-02, 2.33100000e-02, 1.91401000e+00,\n", - " 1.39860000e-01, 5.43900000e-02, 1.81300000e-01, 3.47060000e-01,\n", - " 2.04869000e+00, 1.14478000e+00, 1.78710000e-01, 2.48640000e-01,\n", - " 1.00492000e+00, 1.42450000e-01, 2.43460000e-01, 7.77000000e-01,\n", - " 6.57860000e-01, 9.58300000e-02, 1.19399000e+00, 1.08780000e-01,\n", - " 2.37762000e+00, 1.26910000e-01, 3.80730000e-01, 1.81300000e-02,\n", - " 1.29500000e-02, 3.36700000e-02, 1.96840000e-01, 1.32090000e-01,\n", - " 2.12380000e-01, 1.16550000e-01, 9.06500000e-02, 1.11370000e-01,\n", - " 3.91090000e-01, 1.34680000e-01, 5.43900000e-02, 5.18000000e-01,\n", - " 4.40300000e-02, 1.66278000e+00, 4.01450000e-01, 4.09220000e-01,\n", - " 9.58300000e-02, 1.50220000e-01, 5.69800000e-02, 1.84926000e+00,\n", - " 7.25200000e-02, 3.36700000e-02, 3.85910000e-01, 3.42916000e+00,\n", - " 5.18000000e-02, 8.28800000e-02, 1.03600000e-02, 1.58508000e+00,\n", - " 2.59000000e-02, 3.57420000e-01, 5.18000000e-02, 1.42709000e+00,\n", - " 5.80160000e-01, 2.33100000e-02, 5.18000000e-03, 9.58300000e-01,\n", - " 1.81300000e-02, 1.57990000e-01, 5.28360000e-01, 1.39860000e-01,\n", - " 6.39730000e-01, 2.14970000e-01, 4.55840000e-01, 7.25200000e-02,\n", - " 1.34680000e-01, 2.33100000e-02, 1.97099000e+00, 2.02020000e+00,\n", - " 4.37710000e-01, 1.07485000e+00, 2.20668000e+00, 8.54700000e-02,\n", - " 1.29500000e-02, 4.40300000e-02, 9.06500000e-02, 1.16550000e-01,\n", - " 3.88500000e-02, 1.55400000e-02, 8.54700000e-02, 2.07200000e-01,\n", - " 2.87490000e-01, 8.54700000e-02, 4.66200000e-02, 4.40300000e-02,\n", - " 5.95700000e-02, 7.77000000e-03, 1.91660000e-01, 9.84200000e-02,\n", - " 4.66200000e-02, 2.40870000e-01, 2.07200000e-02, 3.70370000e-01,\n", - " 6.31960000e-01, 2.30510000e-01, 6.00880000e-01, 1.09039000e+00,\n", - " 3.44470000e-01, 1.65760000e+00, 1.81300000e-01, 3.18570000e-01,\n", - " 6.21600000e-01, 2.51230000e-01, 1.19140000e-01, 1.50220000e-01,\n", - " 6.73400000e-02, 8.54700000e-02, 2.59000000e-03, 9.58300000e-02,\n", - " 4.40300000e-02, 2.33100000e-02, 1.06190000e-01, 4.84330000e-01,\n", - " 1.13960000e-01, 9.32400000e-02, 3.88500000e-02, 1.68350000e-01,\n", - " 1.10852000e+00, 4.68790000e-01, 1.26910000e-01, 3.08210000e-01,\n", - " 9.06500000e-02, 2.27920000e+00, 1.60580000e-01, 7.74410000e-01,\n", - " 1.55400000e-01, 1.96840000e-01, 8.02900000e-02, 2.27920000e-01,\n", - " 1.19140000e-01, 8.54700000e-02, 2.90080000e-01, 1.55400000e-02,\n", - " 4.66200000e-02, 1.21730000e-01, 9.06500000e-02, 1.19140000e-01,\n", - " 3.36700000e-02, 1.73530000e-01, 1.03600000e+00, 2.97850000e-01,\n", - " 4.68790000e-01, 2.82310000e-01, 1.63170000e-01, 3.57420000e-01,\n", - " 1.19399000e+00, 9.09090000e-01, 6.73400000e-02, 2.69360000e-01,\n", - " 1.37270000e-01, 1.78710000e-01, 4.04040000e-01, 7.69230000e-01,\n", - " 7.77000000e-03, 1.29500000e-02, 9.14270000e-01, 9.42760000e-01,\n", - " 1.45040000e-01, 1.81300000e-02, 1.01010000e-01, 6.73400000e-02,\n", - " 7.77000000e-03, 1.81300000e-02, 7.77000000e-02, 9.06500000e-02,\n", - " 1.02823000e+00, 4.97280000e-01, 5.43900000e-02, 1.52810000e-01,\n", - " 1.06708000e+00, 6.21600000e-02, 1.93732000e+00, 9.32400000e-02,\n", - " 1.39601000e+00, 1.26910000e-01, 5.51670000e-01, 1.03600000e-02,\n", - " 3.36700000e-02, 8.80600000e-02, 3.62600000e-02, 5.87930000e-01,\n", - " 3.57420000e-01, 2.82310000e-01, 4.14400000e-02, 1.11370000e-01,\n", - " 7.77000000e-03, 4.76560000e-01, 1.32090000e-01, 1.55400000e-02,\n", - " 2.17560000e-01, 7.58870000e-01, 2.69360000e-01, 2.59000000e-03,\n", - " 1.12406000e+00, 7.77000000e-02, 7.92540000e-01, 1.29500000e-02,\n", - " 7.77000000e-03, 1.01010000e-01, 4.71380000e-01, 7.25200000e-02,\n", - " 1.96840000e-01, 4.58430000e-01, 2.33100000e-02, 3.10800000e-02,\n", - " 1.63688000e+00, 1.03600000e-02, 1.03600000e-02, 8.28800000e-02,\n", - " 9.58300000e-02, 8.28800000e-02, 2.84900000e-02, 1.39860000e-01,\n", - " 1.19140000e-01, 1.65760000e-01, 1.24320000e-01, 3.57420000e-01,\n", - " 6.44910000e-01, 4.92100000e-02, 2.59000000e-02, 6.73400000e-02,\n", - " 1.11370000e-01, 1.13960000e-01, 3.72960000e-01, 4.40300000e-02,\n", - " 2.33100000e-02, 1.26910000e-01, 6.60450000e-01, 2.14970000e-01,\n", - " 1.21730000e-01, 4.58948000e+00, 5.18000000e-03, 5.69800000e-02,\n", - " 5.43900000e-02, 1.55400000e-02, 1.81300000e-02, 2.33100000e-02,\n", - " 2.07200000e-02, 1.50220000e-01, 3.62600000e-02, 4.81740000e-01,\n", - " 2.49158000e+00, 1.42450000e-01, 4.92100000e-02, 1.68350000e-01,\n", - " 8.98730000e-01, 6.99300000e-02, 4.40300000e-02, 1.94250000e-01,\n", - " 3.88500000e-02, 2.25330000e-01, 3.83320000e-01, 3.13390000e-01,\n", - " 2.84900000e-02, 1.45040000e-01, 1.01010000e-01, 7.51100000e-02,\n", - " 1.21730000e-01, 6.78580000e-01, 1.45040000e-01, 2.35690000e-01,\n", - " 3.83320000e-01, 4.66200000e-01, 3.62600000e-02, 1.03600000e-01,\n", - " 4.29940000e-01, 3.93680000e-01, 1.40378000e+00, 3.36700000e-02,\n", - " 5.15410000e-01, 6.21600000e-02, 1.52810000e-01, 2.14970000e-01,\n", - " 5.18000000e-02, 2.14970000e-01, 7.77000000e-02, 6.47500000e-02,\n", - " 1.81300000e-01, 2.04610000e-01, 4.66200000e-02, 2.07200000e-02,\n", - " 1.65760000e-01, 2.92670000e-01, 1.83890000e-01, 1.21730000e-01,\n", - " 6.99300000e-02, 7.77000000e-03, 2.95260000e-01, 8.31390000e-01,\n", - " 1.11370000e-01, 5.69800000e-02, 2.59000000e-03, 1.70940000e-01,\n", - " 1.21730000e-01, 3.88500000e-02, 4.66200000e-02, 2.04610000e-01,\n", - " 6.21600000e-02, 1.32608000e+00, 1.21730000e-01, 4.66200000e-02,\n", - " 0.00000000e+00, 2.64180000e-01, 6.21600000e-02, 8.28800000e-02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.58779197e+03, -2.52731782e+03, -1.90964672e+01, 5.97124325e+01,\n", - " 0.00000000e+00, 1.32381440e+01, 1.85328937e+02, 0.00000000e+00,\n", - " 0.00000000e+00, -3.61779443e+01, 1.13192495e+02, 4.30582104e+02,\n", - " 0.00000000e+00, -2.53128905e+03, 2.33517774e+03]), array([ 2.41200000e-01, 1.12680000e+00, 2.19960000e+00, 1.55880000e+00,\n", - " 8.28000000e-02, 1.51200000e-01, 1.00800000e-01, 2.12400000e-01,\n", - " 3.49200000e-01, 5.40000000e-02, 2.12400000e-01, 1.69200000e-01,\n", - " 3.78720000e+00, 1.44000000e-02, 5.04000000e-02, 3.24000000e-02,\n", - " 1.89000000e+00, 1.36080000e+00, 2.05200000e-01, 3.20400000e-01,\n", - " 7.56000000e-02, 3.96000000e-02, 2.16000000e-02, 0.00000000e+00,\n", - " 7.20000000e-02, 2.37600000e-01, 1.80000000e-02, 1.38600000e+00,\n", - " 2.70000000e-01, 1.11240000e+00, 5.90400000e-01, 4.50000000e-01,\n", - " 4.96800000e-01, 2.16000000e-02, 0.00000000e+00, 2.52000000e-02,\n", - " 2.80800000e-01, 1.29600000e-01, 6.48000000e-02, 4.68000000e-02,\n", - " 1.62000000e-01, 1.51200000e-01, 4.06800000e-01, 8.56800000e-01,\n", - " 1.36800000e-01, 1.42200000e+00, 4.50000000e-01, 1.81080000e+00,\n", - " 2.26800000e-01, 6.32880000e+00, 3.96000000e-02, 5.04000000e-02,\n", - " 1.65600000e-01, 1.18800000e-01, 2.66400000e-01, 6.48000000e-02,\n", - " 2.37600000e-01, 1.89360000e+00, 3.28680000e+00, 8.82000000e-01,\n", - " 6.15600000e-01, 5.40000000e-01, 2.16000000e-01, 9.21600000e-01,\n", - " 1.11600000e-01, 9.00000000e-02, 8.78400000e-01, 7.48800000e-01,\n", - " 3.60000000e-02, 0.00000000e+00, 1.65600000e-01, 1.69200000e-01,\n", - " 1.44000000e-02, 3.96000000e-02, 3.02400000e-01, 6.19200000e-01,\n", - " 3.67200000e-01, 1.18800000e-01, 1.22400000e-01, 9.07200000e-01,\n", - " 2.10960000e+00, 1.87560000e+00, 4.10400000e-01, 6.62400000e-01,\n", - " 7.74000000e-01, 8.64000000e-01, 9.72000000e-02, 2.01600000e-01,\n", - " 3.60000000e-02, 4.32000000e-02, 6.48000000e-02, 0.00000000e+00,\n", - " 1.80000000e-02, 5.04000000e-02, 7.30800000e-01, 1.90800000e-01,\n", - " 2.16000000e-02, 0.00000000e+00, 5.40000000e-02, 5.86800000e-01,\n", - " 4.68000000e-01, 1.67040000e+00, 2.18880000e+00, 4.06800000e-01,\n", - " 6.48000000e-02, 3.24000000e-02, 1.69200000e-01, 3.24000000e-02,\n", - " 9.68400000e-01, 7.52400000e-01, 2.30400000e-01, 1.87200000e-01,\n", - " 1.96200000e+00, 3.96000000e-01, 0.00000000e+00, 9.46800000e-01,\n", - " 6.22800000e-01, 3.07440000e+00, 4.96800000e-01, 1.47240000e+00,\n", - " 3.06000000e-01, 4.17600000e-01, 1.14120000e+00, 1.91520000e+00,\n", - " 1.71360000e+00, 3.43080000e+00, 5.11200000e-01, 2.19600000e-01,\n", - " 1.45800000e+00, 1.80720000e+00, 6.15600000e-01, 3.38400000e-01,\n", - " 7.20000000e-02, 2.88000000e-01, 5.36400000e-01, 3.74400000e-01,\n", - " 3.16800000e-01, 9.36000000e-01, 2.66400000e-01, 9.00000000e-02,\n", - " 1.78920000e+00, 1.52280000e+00, 1.33560000e+00, 1.39680000e+00,\n", - " 2.12400000e-01, 2.41200000e-01, 4.68000000e-02, 1.26000000e-01,\n", - " 2.59200000e-01, 4.96800000e-01, 0.00000000e+00, 0.00000000e+00,\n", - " 3.57480000e+00, 5.19840000e+00, 1.12860000e+01, 2.95200000e-01,\n", - " 3.24000000e-01, 1.76400000e-01, 3.96000000e-02, 4.32000000e-02,\n", - " 1.08000000e-01, 9.36000000e-02, 5.79600000e-01, 5.29200000e-01,\n", - " 4.96800000e-01, 1.44000000e-01, 3.72960000e+00, 6.82920000e+00,\n", - " 1.04400000e-01, 9.00000000e-02, 2.41200000e-01, 9.72000000e-02,\n", - " 1.08000000e-01, 2.55600000e-01, 4.82400000e-01, 1.72800000e-01,\n", - " 2.44800000e-01, 2.52000000e-01, 3.24000000e-02, 6.15600000e-01,\n", - " 7.92000000e-02, 1.90800000e-01, 2.26800000e-01, 5.86800000e-01,\n", - " 4.57200000e-01, 3.96000000e-02, 6.80400000e-01, 2.05200000e-01,\n", - " 1.47600000e-01, 1.62000000e-01, 3.81600000e-01, 1.94400000e-01,\n", - " 4.21200000e-01, 2.16000000e-02, 1.98000000e-01, 1.22400000e-01,\n", - " 1.72800000e-01, 6.12000000e-02, 7.05240000e+00, 1.80000000e-01,\n", - " 1.58400000e-01, 7.20000000e+00, 2.59200000e-01, 4.68000000e-02,\n", - " 0.00000000e+00, 4.68000000e-02, 2.16000000e-02, 1.80000000e-01,\n", - " 2.48400000e-01, 5.04000000e-02, 1.90800000e-01, 2.37600000e+00,\n", - " 1.51560000e+00, 1.83240000e+00, 6.39360000e+00, 5.55120000e+00,\n", - " 1.51200000e-01, 8.64000000e-02, 1.45440000e+00, 9.36000000e-01,\n", - " 3.16440000e+00, 2.24640000e+00, 3.24000000e-02, 7.92000000e-01,\n", - " 2.26800000e-01, 3.21480000e+00, 1.80000000e-02, 2.52000000e-02,\n", - " 3.96000000e-02, 1.80000000e-02, 1.13400000e+00, 8.96400000e-01,\n", - " 9.00000000e-01, 2.82600000e+00, 1.47600000e-01, 3.60000000e-02,\n", - " 1.40760000e+00, 4.68000000e-02, 1.47600000e-01, 2.27160000e+00,\n", - " 1.54800000e-01, 1.44000000e-01, 1.36800000e-01, 1.58400000e-01,\n", - " 8.28000000e-02, 1.83960000e+00, 1.04400000e+00, 3.24000000e-01,\n", - " 4.93200000e-01, 1.72800000e-01, 3.24000000e-02, 9.21600000e-01,\n", - " 5.76000000e-01, 1.31400000e+00, 1.29600000e-01, 2.30400000e-01,\n", - " 8.28000000e-02, 1.33200000e-01, 2.70000000e-01, 1.03320000e+00,\n", - " 2.91600000e-01, 1.06200000e+00, 4.06800000e-01, 1.51200000e-01,\n", - " 3.16800000e-01, 5.43600000e-01, 9.07200000e-01, 2.47680000e+00,\n", - " 2.77200000e-01, 1.31400000e+00, 1.22400000e-01, 1.18800000e-01,\n", - " 3.24000000e-01, 6.58800000e-01, 2.52000000e-01, 7.48800000e-01,\n", - " 5.04000000e-02, 1.69200000e-01, 9.36000000e-01, 4.89600000e-01,\n", - " 6.12000000e-02, 1.11600000e-01, 3.92400000e-01, 2.26800000e-01,\n", - " 4.28400000e-01, 2.88000000e-01, 3.96000000e-02, 1.26000000e-01,\n", - " 2.88000000e-02, 3.60000000e-03, 1.46160000e+00, 1.95480000e+00,\n", - " 9.36000000e-02, 6.84000000e-02, 4.32360000e+00, 1.95120000e+00,\n", - " 3.70800000e-01, 1.46160000e+00, 2.26800000e-01, 7.63200000e-01,\n", - " 1.00800000e-01, 9.00000000e-02, 1.01880000e+00, 1.22400000e-01,\n", - " 4.68000000e-02, 7.09200000e-01, 3.99600000e-01, 1.87200000e-01,\n", - " 1.64880000e+00, 5.76000000e-02, 1.33200000e-01, 6.84000000e-02,\n", - " 9.72000000e-02, 3.60000000e-02, 2.25000000e+00, 1.17360000e+00,\n", - " 1.33200000e-01, 6.12000000e-02, 9.57600000e-01, 1.00800000e-01,\n", - " 4.78800000e-01, 3.60000000e-03, 4.42800000e-01, 5.68800000e-01,\n", - " 1.62000000e-01, 5.36400000e-01, 9.00000000e-02, 2.86200000e+00,\n", - " 1.22400000e-01, 1.18800000e-01, 1.11600000e-01, 4.11840000e+00,\n", - " 1.26000000e-01, 2.98800000e-01, 3.24000000e-02, 1.80000000e-02,\n", - " 9.97200000e-01, 3.56400000e-01, 2.88000000e-02, 0.00000000e+00,\n", - " 1.26720000e+00, 6.55200000e-01, 1.88640000e+00, 8.20800000e-01,\n", - " 2.16000000e-02, 1.44000000e-02, 1.08000000e-01, 4.89600000e-01,\n", - " 5.79600000e-01, 9.00000000e-02, 0.00000000e+00, 3.24000000e-02,\n", - " 3.38400000e-01, 6.48000000e-02, 1.15200000e-01, 1.90800000e-01,\n", - " 1.26360000e+00, 8.28000000e-01, 2.52000000e-02, 8.64000000e-02,\n", - " 4.68000000e-02, 3.60000000e-02, 3.60000000e-02, 1.08000000e-01,\n", - " 1.08000000e-01, 1.38600000e+00, 1.32120000e+00, 1.00800000e-01,\n", - " 1.40400000e-01, 5.40000000e-02, 3.96000000e-02, 1.18800000e-01,\n", - " 3.60000000e-02, 3.60000000e-02, 2.44800000e-01, 1.87200000e-01,\n", - " 2.55600000e-01, 3.20400000e-01, 2.73240000e+00, 5.61600000e-01,\n", - " 4.96800000e-01, 5.18400000e-01, 9.68400000e-01, 7.20000000e-02,\n", - " 4.68000000e-01, 1.33560000e+00, 9.36000000e-02, 3.80160000e+00,\n", - " 2.84760000e+00, 1.74600000e+00, 1.94400000e-01, 5.40000000e-02,\n", - " 3.18600000e+00, 8.06400000e-01, 1.34280000e+00, 2.95200000e-01,\n", - " 6.84000000e-02, 1.10160000e+00, 8.85600000e-01, 3.60000000e-02,\n", - " 1.44000000e-02, 1.08000000e-02, 3.24000000e-01, 1.44000000e-02,\n", - " 1.50120000e+00, 3.21840000e+00, 1.44000000e-01, 2.95200000e-01,\n", - " 6.62400000e-01, 1.80000000e-02, 8.28000000e-02, 9.72000000e-01,\n", - " 1.04400000e-01, 1.72800000e-01, 3.70800000e-01, 2.01960000e+00,\n", - " 1.11240000e+00, 2.30400000e-01, 3.63600000e-01, 4.82400000e-01,\n", - " 5.40000000e-02, 2.44800000e-01, 3.09600000e-01, 1.29600000e-01,\n", - " 1.80000000e-02, 1.94400000e-01, 9.36000000e-02, 9.00000000e-02,\n", - " 2.05200000e-01, 2.55600000e-01, 3.78000000e-01, 1.00800000e-01,\n", - " 1.08000000e-02, 1.36800000e-01, 1.73880000e+00, 9.72000000e-02,\n", - " 8.49600000e-01, 8.64000000e-02, 3.09600000e-01, 1.76400000e+00,\n", - " 2.76840000e+00, 6.19200000e-01, 1.18080000e+00, 1.36800000e-01,\n", - " 1.26000000e-01, 9.00000000e-02, 6.58800000e-01, 1.08000000e-01,\n", - " 1.15200000e-01, 6.48000000e-02, 1.80000000e-01, 1.72800000e-01,\n", - " 1.83600000e+00, 5.29200000e-01, 2.08800000e-01, 3.60000000e-03,\n", - " 1.76400000e-01, 6.66000000e-01, 7.66800000e-01, 7.20000000e-01,\n", - " 6.84000000e-02, 2.66400000e-01, 5.04000000e-01, 9.00000000e-02,\n", - " 2.26800000e-01, 1.36800000e-01, 6.12000000e-02, 1.00800000e-01,\n", - " 2.19600000e-01, 1.69200000e-01, 1.47600000e-01, 2.88000000e-02,\n", - " 1.08360000e+00, 1.37880000e+00, 5.40000000e-02, 5.76000000e-02,\n", - " 1.26000000e-01, 4.02480000e+00, 2.17800000e+00, 4.68000000e-02,\n", - " 1.53720000e+00, 7.99200000e-01, 3.60000000e-03, 1.54800000e-01,\n", - " 8.64000000e-02, 7.34400000e-01, 1.08000000e+00, 1.48320000e+00,\n", - " 1.00800000e-01, 2.88360000e+00, 4.93200000e-01, 2.08800000e+00,\n", - " 2.70000000e-01, 3.78000000e-01, 1.60920000e+00, 1.21680000e+00,\n", - " 5.00400000e-01, 5.72400000e-01, 0.00000000e+00, 3.60000000e-01,\n", - " 3.20400000e-01, 4.32000000e-02, 2.16000000e-02, 3.96000000e-02,\n", - " 6.12000000e-02, 1.15200000e-01, 2.37600000e-01, 1.62000000e-01,\n", - " 1.36800000e-01, 6.44400000e-01, 7.02000000e-01, 1.44000000e-02,\n", - " 1.40400000e-01, 1.94400000e-01, 8.64000000e-02, 1.33200000e-01,\n", - " 7.20000000e-02, 2.34000000e-01, 6.01200000e-01, 8.64000000e-02,\n", - " 6.84000000e-02, 3.94560000e+00, 1.54800000e-01, 1.33200000e-01,\n", - " 1.15200000e-01, 7.38000000e-01, 1.69200000e-01, 6.12000000e-02,\n", - " 5.18400000e-01, 1.36800000e-01, 9.54000000e-01, 2.52000000e-01,\n", - " 2.15640000e+00, 1.55880000e+00, 1.47600000e+00, 1.33200000e-01,\n", - " 1.44000000e-02, 1.69200000e-01, 3.96000000e-02, 9.72000000e-02,\n", - " 2.00160000e+00, 1.04400000e-01, 1.08000000e-02, 5.76000000e-02,\n", - " 1.33920000e+00, 3.38400000e-01, 7.92000000e-02, 2.73600000e-01,\n", - " 1.32480000e+00, 2.40480000e+00, 4.40640000e+00, 5.11200000e-01,\n", - " 2.31840000e+00, 3.11400000e+00, 2.70000000e-01, 1.40400000e-01,\n", - " 3.78000000e-01, 5.28480000e+00, 2.82240000e+00, 1.44000000e-02,\n", - " 1.62000000e-01, 2.37600000e-01, 1.00800000e-01, 4.60800000e-01,\n", - " 2.08800000e-01, 3.60000000e-01, 3.99600000e-01, 2.12760000e+00,\n", - " 5.00400000e-01, 2.88000000e-02, 6.04800000e-01, 9.54000000e-01,\n", - " 5.72400000e-01, 5.00400000e-01, 3.24000000e-02, 2.77200000e-01,\n", - " 1.69200000e-01, 6.12000000e-02, 3.24000000e-02, 2.66040000e+00,\n", - " 1.94400000e-01, 7.56000000e-02, 2.52000000e-01, 4.82400000e-01,\n", - " 2.84760000e+00, 1.59120000e+00, 2.48400000e-01, 3.45600000e-01,\n", - " 1.39680000e+00, 1.98000000e-01, 3.38400000e-01, 1.08000000e+00,\n", - " 9.14400000e-01, 1.33200000e-01, 1.65960000e+00, 1.51200000e-01,\n", - " 3.30480000e+00, 1.76400000e-01, 5.29200000e-01, 2.52000000e-02,\n", - " 1.80000000e-02, 4.68000000e-02, 2.73600000e-01, 1.83600000e-01,\n", - " 2.95200000e-01, 1.62000000e-01, 1.26000000e-01, 1.54800000e-01,\n", - " 5.43600000e-01, 1.87200000e-01, 7.56000000e-02, 7.20000000e-01,\n", - " 6.12000000e-02, 2.31120000e+00, 5.58000000e-01, 5.68800000e-01,\n", - " 1.33200000e-01, 2.08800000e-01, 7.92000000e-02, 2.57040000e+00,\n", - " 1.00800000e-01, 4.68000000e-02, 5.36400000e-01, 4.76640000e+00,\n", - " 7.20000000e-02, 1.15200000e-01, 1.44000000e-02, 2.20320000e+00,\n", - " 3.60000000e-02, 4.96800000e-01, 7.20000000e-02, 1.98360000e+00,\n", - " 8.06400000e-01, 3.24000000e-02, 7.20000000e-03, 1.33200000e+00,\n", - " 2.52000000e-02, 2.19600000e-01, 7.34400000e-01, 1.94400000e-01,\n", - " 8.89200000e-01, 2.98800000e-01, 6.33600000e-01, 1.00800000e-01,\n", - " 1.87200000e-01, 3.24000000e-02, 2.73960000e+00, 2.80800000e+00,\n", - " 6.08400000e-01, 1.49400000e+00, 3.06720000e+00, 1.18800000e-01,\n", - " 1.80000000e-02, 6.12000000e-02, 1.26000000e-01, 1.62000000e-01,\n", - " 5.40000000e-02, 2.16000000e-02, 1.18800000e-01, 2.88000000e-01,\n", - " 3.99600000e-01, 1.18800000e-01, 6.48000000e-02, 6.12000000e-02,\n", - " 8.28000000e-02, 1.08000000e-02, 2.66400000e-01, 1.36800000e-01,\n", - " 6.48000000e-02, 3.34800000e-01, 2.88000000e-02, 5.14800000e-01,\n", - " 8.78400000e-01, 3.20400000e-01, 8.35200000e-01, 1.51560000e+00,\n", - " 4.78800000e-01, 2.30400000e+00, 2.52000000e-01, 4.42800000e-01,\n", - " 8.64000000e-01, 3.49200000e-01, 1.65600000e-01, 2.08800000e-01,\n", - " 9.36000000e-02, 1.18800000e-01, 3.60000000e-03, 1.33200000e-01,\n", - " 6.12000000e-02, 3.24000000e-02, 1.47600000e-01, 6.73200000e-01,\n", - " 1.58400000e-01, 1.29600000e-01, 5.40000000e-02, 2.34000000e-01,\n", - " 1.54080000e+00, 6.51600000e-01, 1.76400000e-01, 4.28400000e-01,\n", - " 1.26000000e-01, 3.16800000e+00, 2.23200000e-01, 1.07640000e+00,\n", - " 2.16000000e-01, 2.73600000e-01, 1.11600000e-01, 3.16800000e-01,\n", - " 1.65600000e-01, 1.18800000e-01, 4.03200000e-01, 2.16000000e-02,\n", - " 6.48000000e-02, 1.69200000e-01, 1.26000000e-01, 1.65600000e-01,\n", - " 4.68000000e-02, 2.41200000e-01, 1.44000000e+00, 4.14000000e-01,\n", - " 6.51600000e-01, 3.92400000e-01, 2.26800000e-01, 4.96800000e-01,\n", - " 1.65960000e+00, 1.26360000e+00, 9.36000000e-02, 3.74400000e-01,\n", - " 1.90800000e-01, 2.48400000e-01, 5.61600000e-01, 1.06920000e+00,\n", - " 1.08000000e-02, 1.80000000e-02, 1.27080000e+00, 1.31040000e+00,\n", - " 2.01600000e-01, 2.52000000e-02, 1.40400000e-01, 9.36000000e-02,\n", - " 1.08000000e-02, 2.52000000e-02, 1.08000000e-01, 1.26000000e-01,\n", - " 1.42920000e+00, 6.91200000e-01, 7.56000000e-02, 2.12400000e-01,\n", - " 1.48320000e+00, 8.64000000e-02, 2.69280000e+00, 1.29600000e-01,\n", - " 1.94040000e+00, 1.76400000e-01, 7.66800000e-01, 1.44000000e-02,\n", - " 4.68000000e-02, 1.22400000e-01, 5.04000000e-02, 8.17200000e-01,\n", - " 4.96800000e-01, 3.92400000e-01, 5.76000000e-02, 1.54800000e-01,\n", - " 1.08000000e-02, 6.62400000e-01, 1.83600000e-01, 2.16000000e-02,\n", - " 3.02400000e-01, 1.05480000e+00, 3.74400000e-01, 3.60000000e-03,\n", - " 1.56240000e+00, 1.08000000e-01, 1.10160000e+00, 1.80000000e-02,\n", - " 1.08000000e-02, 1.40400000e-01, 6.55200000e-01, 1.00800000e-01,\n", - " 2.73600000e-01, 6.37200000e-01, 3.24000000e-02, 4.32000000e-02,\n", - " 2.27520000e+00, 1.44000000e-02, 1.44000000e-02, 1.15200000e-01,\n", - " 1.33200000e-01, 1.15200000e-01, 3.96000000e-02, 1.94400000e-01,\n", - " 1.65600000e-01, 2.30400000e-01, 1.72800000e-01, 4.96800000e-01,\n", - " 8.96400000e-01, 6.84000000e-02, 3.60000000e-02, 9.36000000e-02,\n", - " 1.54800000e-01, 1.58400000e-01, 5.18400000e-01, 6.12000000e-02,\n", - " 3.24000000e-02, 1.76400000e-01, 9.18000000e-01, 2.98800000e-01,\n", - " 1.69200000e-01, 6.37920000e+00, 7.20000000e-03, 7.92000000e-02,\n", - " 7.56000000e-02, 2.16000000e-02, 2.52000000e-02, 3.24000000e-02,\n", - " 2.88000000e-02, 2.08800000e-01, 5.04000000e-02, 6.69600000e-01,\n", - " 3.46320000e+00, 1.98000000e-01, 6.84000000e-02, 2.34000000e-01,\n", - " 1.24920000e+00, 9.72000000e-02, 6.12000000e-02, 2.70000000e-01,\n", - " 5.40000000e-02, 3.13200000e-01, 5.32800000e-01, 4.35600000e-01,\n", - " 3.96000000e-02, 2.01600000e-01, 1.40400000e-01, 1.04400000e-01,\n", - " 1.69200000e-01, 9.43200000e-01, 2.01600000e-01, 3.27600000e-01,\n", - " 5.32800000e-01, 6.48000000e-01, 5.04000000e-02, 1.44000000e-01,\n", - " 5.97600000e-01, 5.47200000e-01, 1.95120000e+00, 4.68000000e-02,\n", - " 7.16400000e-01, 8.64000000e-02, 2.12400000e-01, 2.98800000e-01,\n", - " 7.20000000e-02, 2.98800000e-01, 1.08000000e-01, 9.00000000e-02,\n", - " 2.52000000e-01, 2.84400000e-01, 6.48000000e-02, 2.88000000e-02,\n", - " 2.30400000e-01, 4.06800000e-01, 2.55600000e-01, 1.69200000e-01,\n", - " 9.72000000e-02, 1.08000000e-02, 4.10400000e-01, 1.15560000e+00,\n", - " 1.54800000e-01, 7.92000000e-02, 3.60000000e-03, 2.37600000e-01,\n", - " 1.69200000e-01, 5.40000000e-02, 6.48000000e-02, 2.84400000e-01,\n", - " 8.64000000e-02, 1.84320000e+00, 1.69200000e-01, 6.48000000e-02,\n", - " 0.00000000e+00, 3.67200000e-01, 8.64000000e-02, 1.15200000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.59395387e+03, -2.52731782e+03, -2.65431925e+01, 4.94596779e+01,\n", - " 0.00000000e+00, 7.64093534e+00, 1.64319513e+02, 0.00000000e+00,\n", - " 0.00000000e+00, -5.02856376e+01, 1.14408130e+02, 4.65643778e+02,\n", - " 0.00000000e+00, 4.67636819e+03, -5.00814544e+03]), array([ 2.41200000e-01, 1.12680000e+00, 2.19960000e+00, 1.55880000e+00,\n", - " 8.28000000e-02, 1.51200000e-01, 1.00800000e-01, 2.12400000e-01,\n", - " 3.49200000e-01, 5.40000000e-02, 2.12400000e-01, 1.69200000e-01,\n", - " 3.78720000e+00, 1.44000000e-02, 5.04000000e-02, 3.24000000e-02,\n", - " 1.89000000e+00, 1.36080000e+00, 2.05200000e-01, 3.20400000e-01,\n", - " 7.56000000e-02, 3.96000000e-02, 2.16000000e-02, 0.00000000e+00,\n", - " 7.20000000e-02, 2.37600000e-01, 1.80000000e-02, 1.38600000e+00,\n", - " 2.70000000e-01, 1.11240000e+00, 5.90400000e-01, 4.50000000e-01,\n", - " 4.96800000e-01, 2.16000000e-02, 0.00000000e+00, 2.52000000e-02,\n", - " 2.80800000e-01, 1.29600000e-01, 6.48000000e-02, 4.68000000e-02,\n", - " 1.62000000e-01, 1.51200000e-01, 4.06800000e-01, 8.56800000e-01,\n", - " 1.36800000e-01, 1.42200000e+00, 4.50000000e-01, 1.81080000e+00,\n", - " 2.26800000e-01, 6.32880000e+00, 3.96000000e-02, 5.04000000e-02,\n", - " 1.65600000e-01, 1.18800000e-01, 2.66400000e-01, 6.48000000e-02,\n", - " 2.37600000e-01, 1.89360000e+00, 3.28680000e+00, 8.82000000e-01,\n", - " 6.15600000e-01, 5.40000000e-01, 2.16000000e-01, 9.21600000e-01,\n", - " 1.11600000e-01, 9.00000000e-02, 8.78400000e-01, 7.48800000e-01,\n", - " 3.60000000e-02, 0.00000000e+00, 1.65600000e-01, 1.69200000e-01,\n", - " 1.44000000e-02, 3.96000000e-02, 3.02400000e-01, 6.19200000e-01,\n", - " 3.67200000e-01, 1.18800000e-01, 1.22400000e-01, 9.07200000e-01,\n", - " 2.10960000e+00, 1.87560000e+00, 4.10400000e-01, 6.62400000e-01,\n", - " 7.74000000e-01, 8.64000000e-01, 9.72000000e-02, 2.01600000e-01,\n", - " 3.60000000e-02, 4.32000000e-02, 6.48000000e-02, 0.00000000e+00,\n", - " 1.80000000e-02, 5.04000000e-02, 7.30800000e-01, 1.90800000e-01,\n", - " 2.16000000e-02, 0.00000000e+00, 5.40000000e-02, 5.86800000e-01,\n", - " 4.68000000e-01, 1.67040000e+00, 2.18880000e+00, 4.06800000e-01,\n", - " 6.48000000e-02, 3.24000000e-02, 1.69200000e-01, 3.24000000e-02,\n", - " 9.68400000e-01, 7.52400000e-01, 2.30400000e-01, 1.87200000e-01,\n", - " 1.96200000e+00, 3.96000000e-01, 0.00000000e+00, 9.46800000e-01,\n", - " 6.22800000e-01, 3.07440000e+00, 4.96800000e-01, 1.47240000e+00,\n", - " 3.06000000e-01, 4.17600000e-01, 1.14120000e+00, 1.91520000e+00,\n", - " 1.71360000e+00, 3.43080000e+00, 5.11200000e-01, 2.19600000e-01,\n", - " 1.45800000e+00, 1.80720000e+00, 6.15600000e-01, 3.38400000e-01,\n", - " 7.20000000e-02, 2.88000000e-01, 5.36400000e-01, 3.74400000e-01,\n", - " 3.16800000e-01, 9.36000000e-01, 2.66400000e-01, 9.00000000e-02,\n", - " 1.78920000e+00, 1.52280000e+00, 1.33560000e+00, 1.39680000e+00,\n", - " 2.12400000e-01, 2.41200000e-01, 4.68000000e-02, 1.26000000e-01,\n", - " 2.59200000e-01, 4.96800000e-01, 0.00000000e+00, 0.00000000e+00,\n", - " 3.57480000e+00, 5.19840000e+00, 1.12860000e+01, 2.95200000e-01,\n", - " 3.24000000e-01, 1.76400000e-01, 3.96000000e-02, 4.32000000e-02,\n", - " 1.08000000e-01, 9.36000000e-02, 5.79600000e-01, 5.29200000e-01,\n", - " 4.96800000e-01, 1.44000000e-01, 3.72960000e+00, 6.82920000e+00,\n", - " 1.04400000e-01, 9.00000000e-02, 2.41200000e-01, 9.72000000e-02,\n", - " 1.08000000e-01, 2.55600000e-01, 4.82400000e-01, 1.72800000e-01,\n", - " 2.44800000e-01, 2.52000000e-01, 3.24000000e-02, 6.15600000e-01,\n", - " 7.92000000e-02, 1.90800000e-01, 2.26800000e-01, 5.86800000e-01,\n", - " 4.57200000e-01, 3.96000000e-02, 6.80400000e-01, 2.05200000e-01,\n", - " 1.47600000e-01, 1.62000000e-01, 3.81600000e-01, 1.94400000e-01,\n", - " 4.21200000e-01, 2.16000000e-02, 1.98000000e-01, 1.22400000e-01,\n", - " 1.72800000e-01, 6.12000000e-02, 7.05240000e+00, 1.80000000e-01,\n", - " 1.58400000e-01, 7.20000000e+00, 2.59200000e-01, 4.68000000e-02,\n", - " 0.00000000e+00, 4.68000000e-02, 2.16000000e-02, 1.80000000e-01,\n", - " 2.48400000e-01, 5.04000000e-02, 1.90800000e-01, 2.37600000e+00,\n", - " 1.51560000e+00, 1.83240000e+00, 6.39360000e+00, 5.55120000e+00,\n", - " 1.51200000e-01, 8.64000000e-02, 1.45440000e+00, 9.36000000e-01,\n", - " 3.16440000e+00, 2.24640000e+00, 3.24000000e-02, 7.92000000e-01,\n", - " 2.26800000e-01, 3.21480000e+00, 1.80000000e-02, 2.52000000e-02,\n", - " 3.96000000e-02, 1.80000000e-02, 1.13400000e+00, 8.96400000e-01,\n", - " 9.00000000e-01, 2.82600000e+00, 1.47600000e-01, 3.60000000e-02,\n", - " 1.40760000e+00, 4.68000000e-02, 1.47600000e-01, 2.27160000e+00,\n", - " 1.54800000e-01, 1.44000000e-01, 1.36800000e-01, 1.58400000e-01,\n", - " 8.28000000e-02, 1.83960000e+00, 1.04400000e+00, 3.24000000e-01,\n", - " 4.93200000e-01, 1.72800000e-01, 3.24000000e-02, 9.21600000e-01,\n", - " 5.76000000e-01, 1.31400000e+00, 1.29600000e-01, 2.30400000e-01,\n", - " 8.28000000e-02, 1.33200000e-01, 2.70000000e-01, 1.03320000e+00,\n", - " 2.91600000e-01, 1.06200000e+00, 4.06800000e-01, 1.51200000e-01,\n", - " 3.16800000e-01, 5.43600000e-01, 9.07200000e-01, 2.47680000e+00,\n", - " 2.77200000e-01, 1.31400000e+00, 1.22400000e-01, 1.18800000e-01,\n", - " 3.24000000e-01, 6.58800000e-01, 2.52000000e-01, 7.48800000e-01,\n", - " 5.04000000e-02, 1.69200000e-01, 9.36000000e-01, 4.89600000e-01,\n", - " 6.12000000e-02, 1.11600000e-01, 3.92400000e-01, 2.26800000e-01,\n", - " 4.28400000e-01, 2.88000000e-01, 3.96000000e-02, 1.26000000e-01,\n", - " 2.88000000e-02, 3.60000000e-03, 1.46160000e+00, 1.95480000e+00,\n", - " 9.36000000e-02, 6.84000000e-02, 4.32360000e+00, 1.95120000e+00,\n", - " 3.70800000e-01, 1.46160000e+00, 2.26800000e-01, 7.63200000e-01,\n", - " 1.00800000e-01, 9.00000000e-02, 1.01880000e+00, 1.22400000e-01,\n", - " 4.68000000e-02, 7.09200000e-01, 3.99600000e-01, 1.87200000e-01,\n", - " 1.64880000e+00, 5.76000000e-02, 1.33200000e-01, 6.84000000e-02,\n", - " 9.72000000e-02, 3.60000000e-02, 2.25000000e+00, 1.17360000e+00,\n", - " 1.33200000e-01, 6.12000000e-02, 9.57600000e-01, 1.00800000e-01,\n", - " 4.78800000e-01, 3.60000000e-03, 4.42800000e-01, 5.68800000e-01,\n", - " 1.62000000e-01, 5.36400000e-01, 9.00000000e-02, 2.86200000e+00,\n", - " 1.22400000e-01, 1.18800000e-01, 1.11600000e-01, 4.11840000e+00,\n", - " 1.26000000e-01, 2.98800000e-01, 3.24000000e-02, 1.80000000e-02,\n", - " 9.97200000e-01, 3.56400000e-01, 2.88000000e-02, 0.00000000e+00,\n", - " 1.26720000e+00, 6.55200000e-01, 1.88640000e+00, 8.20800000e-01,\n", - " 2.16000000e-02, 1.44000000e-02, 1.08000000e-01, 4.89600000e-01,\n", - " 5.79600000e-01, 9.00000000e-02, 0.00000000e+00, 3.24000000e-02,\n", - " 3.38400000e-01, 6.48000000e-02, 1.15200000e-01, 1.90800000e-01,\n", - " 1.26360000e+00, 8.28000000e-01, 2.52000000e-02, 8.64000000e-02,\n", - " 4.68000000e-02, 3.60000000e-02, 3.60000000e-02, 1.08000000e-01,\n", - " 1.08000000e-01, 1.38600000e+00, 1.32120000e+00, 1.00800000e-01,\n", - " 1.40400000e-01, 5.40000000e-02, 3.96000000e-02, 1.18800000e-01,\n", - " 3.60000000e-02, 3.60000000e-02, 2.44800000e-01, 1.87200000e-01,\n", - " 2.55600000e-01, 3.20400000e-01, 2.73240000e+00, 5.61600000e-01,\n", - " 4.96800000e-01, 5.18400000e-01, 9.68400000e-01, 7.20000000e-02,\n", - " 4.68000000e-01, 1.33560000e+00, 9.36000000e-02, 3.80160000e+00,\n", - " 2.84760000e+00, 1.74600000e+00, 1.94400000e-01, 5.40000000e-02,\n", - " 3.18600000e+00, 8.06400000e-01, 1.34280000e+00, 2.95200000e-01,\n", - " 6.84000000e-02, 1.10160000e+00, 8.85600000e-01, 3.60000000e-02,\n", - " 1.44000000e-02, 1.08000000e-02, 3.24000000e-01, 1.44000000e-02,\n", - " 1.50120000e+00, 3.21840000e+00, 1.44000000e-01, 2.95200000e-01,\n", - " 6.62400000e-01, 1.80000000e-02, 8.28000000e-02, 9.72000000e-01,\n", - " 1.04400000e-01, 1.72800000e-01, 3.70800000e-01, 2.01960000e+00,\n", - " 1.11240000e+00, 2.30400000e-01, 3.63600000e-01, 4.82400000e-01,\n", - " 5.40000000e-02, 2.44800000e-01, 3.09600000e-01, 1.29600000e-01,\n", - " 1.80000000e-02, 1.94400000e-01, 9.36000000e-02, 9.00000000e-02,\n", - " 2.05200000e-01, 2.55600000e-01, 3.78000000e-01, 1.00800000e-01,\n", - " 1.08000000e-02, 1.36800000e-01, 1.73880000e+00, 9.72000000e-02,\n", - " 8.49600000e-01, 8.64000000e-02, 3.09600000e-01, 1.76400000e+00,\n", - " 2.76840000e+00, 6.19200000e-01, 1.18080000e+00, 1.36800000e-01,\n", - " 1.26000000e-01, 9.00000000e-02, 6.58800000e-01, 1.08000000e-01,\n", - " 1.15200000e-01, 6.48000000e-02, 1.80000000e-01, 1.72800000e-01,\n", - " 1.83600000e+00, 5.29200000e-01, 2.08800000e-01, 3.60000000e-03,\n", - " 1.76400000e-01, 6.66000000e-01, 7.66800000e-01, 7.20000000e-01,\n", - " 6.84000000e-02, 2.66400000e-01, 5.04000000e-01, 9.00000000e-02,\n", - " 2.26800000e-01, 1.36800000e-01, 6.12000000e-02, 1.00800000e-01,\n", - " 2.19600000e-01, 1.69200000e-01, 1.47600000e-01, 2.88000000e-02,\n", - " 1.08360000e+00, 1.37880000e+00, 5.40000000e-02, 5.76000000e-02,\n", - " 1.26000000e-01, 4.02480000e+00, 2.17800000e+00, 4.68000000e-02,\n", - " 1.53720000e+00, 7.99200000e-01, 3.60000000e-03, 1.54800000e-01,\n", - " 8.64000000e-02, 7.34400000e-01, 1.08000000e+00, 1.48320000e+00,\n", - " 1.00800000e-01, 2.88360000e+00, 4.93200000e-01, 2.08800000e+00,\n", - " 2.70000000e-01, 3.78000000e-01, 1.60920000e+00, 1.21680000e+00,\n", - " 5.00400000e-01, 5.72400000e-01, 0.00000000e+00, 3.60000000e-01,\n", - " 3.20400000e-01, 4.32000000e-02, 2.16000000e-02, 3.96000000e-02,\n", - " 6.12000000e-02, 1.15200000e-01, 2.37600000e-01, 1.62000000e-01,\n", - " 1.36800000e-01, 6.44400000e-01, 7.02000000e-01, 1.44000000e-02,\n", - " 1.40400000e-01, 1.94400000e-01, 8.64000000e-02, 1.33200000e-01,\n", - " 7.20000000e-02, 2.34000000e-01, 6.01200000e-01, 8.64000000e-02,\n", - " 6.84000000e-02, 3.94560000e+00, 1.54800000e-01, 1.33200000e-01,\n", - " 1.15200000e-01, 7.38000000e-01, 1.69200000e-01, 6.12000000e-02,\n", - " 5.18400000e-01, 1.36800000e-01, 9.54000000e-01, 2.52000000e-01,\n", - " 2.15640000e+00, 1.55880000e+00, 1.47600000e+00, 1.33200000e-01,\n", - " 1.44000000e-02, 1.69200000e-01, 3.96000000e-02, 9.72000000e-02,\n", - " 2.00160000e+00, 1.04400000e-01, 1.08000000e-02, 5.76000000e-02,\n", - " 1.33920000e+00, 3.38400000e-01, 7.92000000e-02, 2.73600000e-01,\n", - " 1.32480000e+00, 2.40480000e+00, 4.40640000e+00, 5.11200000e-01,\n", - " 2.31840000e+00, 3.11400000e+00, 2.70000000e-01, 1.40400000e-01,\n", - " 3.78000000e-01, 5.28480000e+00, 2.82240000e+00, 1.44000000e-02,\n", - " 1.62000000e-01, 2.37600000e-01, 1.00800000e-01, 4.60800000e-01,\n", - " 2.08800000e-01, 3.60000000e-01, 3.99600000e-01, 2.12760000e+00,\n", - " 5.00400000e-01, 2.88000000e-02, 6.04800000e-01, 9.54000000e-01,\n", - " 5.72400000e-01, 5.00400000e-01, 3.24000000e-02, 2.77200000e-01,\n", - " 1.69200000e-01, 6.12000000e-02, 3.24000000e-02, 2.66040000e+00,\n", - " 1.94400000e-01, 7.56000000e-02, 2.52000000e-01, 4.82400000e-01,\n", - " 2.84760000e+00, 1.59120000e+00, 2.48400000e-01, 3.45600000e-01,\n", - " 1.39680000e+00, 1.98000000e-01, 3.38400000e-01, 1.08000000e+00,\n", - " 9.14400000e-01, 1.33200000e-01, 1.65960000e+00, 1.51200000e-01,\n", - " 3.30480000e+00, 1.76400000e-01, 5.29200000e-01, 2.52000000e-02,\n", - " 1.80000000e-02, 4.68000000e-02, 2.73600000e-01, 1.83600000e-01,\n", - " 2.95200000e-01, 1.62000000e-01, 1.26000000e-01, 1.54800000e-01,\n", - " 5.43600000e-01, 1.87200000e-01, 7.56000000e-02, 7.20000000e-01,\n", - " 6.12000000e-02, 2.31120000e+00, 5.58000000e-01, 5.68800000e-01,\n", - " 1.33200000e-01, 2.08800000e-01, 7.92000000e-02, 2.57040000e+00,\n", - " 1.00800000e-01, 4.68000000e-02, 5.36400000e-01, 4.76640000e+00,\n", - " 7.20000000e-02, 1.15200000e-01, 1.44000000e-02, 2.20320000e+00,\n", - " 3.60000000e-02, 4.96800000e-01, 7.20000000e-02, 1.98360000e+00,\n", - " 8.06400000e-01, 3.24000000e-02, 7.20000000e-03, 1.33200000e+00,\n", - " 2.52000000e-02, 2.19600000e-01, 7.34400000e-01, 1.94400000e-01,\n", - " 8.89200000e-01, 2.98800000e-01, 6.33600000e-01, 1.00800000e-01,\n", - " 1.87200000e-01, 3.24000000e-02, 2.73960000e+00, 2.80800000e+00,\n", - " 6.08400000e-01, 1.49400000e+00, 3.06720000e+00, 1.18800000e-01,\n", - " 1.80000000e-02, 6.12000000e-02, 1.26000000e-01, 1.62000000e-01,\n", - " 5.40000000e-02, 2.16000000e-02, 1.18800000e-01, 2.88000000e-01,\n", - " 3.99600000e-01, 1.18800000e-01, 6.48000000e-02, 6.12000000e-02,\n", - " 8.28000000e-02, 1.08000000e-02, 2.66400000e-01, 1.36800000e-01,\n", - " 6.48000000e-02, 3.34800000e-01, 2.88000000e-02, 5.14800000e-01,\n", - " 8.78400000e-01, 3.20400000e-01, 8.35200000e-01, 1.51560000e+00,\n", - " 4.78800000e-01, 2.30400000e+00, 2.52000000e-01, 4.42800000e-01,\n", - " 8.64000000e-01, 3.49200000e-01, 1.65600000e-01, 2.08800000e-01,\n", - " 9.36000000e-02, 1.18800000e-01, 3.60000000e-03, 1.33200000e-01,\n", - " 6.12000000e-02, 3.24000000e-02, 1.47600000e-01, 6.73200000e-01,\n", - " 1.58400000e-01, 1.29600000e-01, 5.40000000e-02, 2.34000000e-01,\n", - " 1.54080000e+00, 6.51600000e-01, 1.76400000e-01, 4.28400000e-01,\n", - " 1.26000000e-01, 3.16800000e+00, 2.23200000e-01, 1.07640000e+00,\n", - " 2.16000000e-01, 2.73600000e-01, 1.11600000e-01, 3.16800000e-01,\n", - " 1.65600000e-01, 1.18800000e-01, 4.03200000e-01, 2.16000000e-02,\n", - " 6.48000000e-02, 1.69200000e-01, 1.26000000e-01, 1.65600000e-01,\n", - " 4.68000000e-02, 2.41200000e-01, 1.44000000e+00, 4.14000000e-01,\n", - " 6.51600000e-01, 3.92400000e-01, 2.26800000e-01, 4.96800000e-01,\n", - " 1.65960000e+00, 1.26360000e+00, 9.36000000e-02, 3.74400000e-01,\n", - " 1.90800000e-01, 2.48400000e-01, 5.61600000e-01, 1.06920000e+00,\n", - " 1.08000000e-02, 1.80000000e-02, 1.27080000e+00, 1.31040000e+00,\n", - " 2.01600000e-01, 2.52000000e-02, 1.40400000e-01, 9.36000000e-02,\n", - " 1.08000000e-02, 2.52000000e-02, 1.08000000e-01, 1.26000000e-01,\n", - " 1.42920000e+00, 6.91200000e-01, 7.56000000e-02, 2.12400000e-01,\n", - " 1.48320000e+00, 8.64000000e-02, 2.69280000e+00, 1.29600000e-01,\n", - " 1.94040000e+00, 1.76400000e-01, 7.66800000e-01, 1.44000000e-02,\n", - " 4.68000000e-02, 1.22400000e-01, 5.04000000e-02, 8.17200000e-01,\n", - " 4.96800000e-01, 3.92400000e-01, 5.76000000e-02, 1.54800000e-01,\n", - " 1.08000000e-02, 6.62400000e-01, 1.83600000e-01, 2.16000000e-02,\n", - " 3.02400000e-01, 1.05480000e+00, 3.74400000e-01, 3.60000000e-03,\n", - " 1.56240000e+00, 1.08000000e-01, 1.10160000e+00, 1.80000000e-02,\n", - " 1.08000000e-02, 1.40400000e-01, 6.55200000e-01, 1.00800000e-01,\n", - " 2.73600000e-01, 6.37200000e-01, 3.24000000e-02, 4.32000000e-02,\n", - " 2.27520000e+00, 1.44000000e-02, 1.44000000e-02, 1.15200000e-01,\n", - " 1.33200000e-01, 1.15200000e-01, 3.96000000e-02, 1.94400000e-01,\n", - " 1.65600000e-01, 2.30400000e-01, 1.72800000e-01, 4.96800000e-01,\n", - " 8.96400000e-01, 6.84000000e-02, 3.60000000e-02, 9.36000000e-02,\n", - " 1.54800000e-01, 1.58400000e-01, 5.18400000e-01, 6.12000000e-02,\n", - " 3.24000000e-02, 1.76400000e-01, 9.18000000e-01, 2.98800000e-01,\n", - " 1.69200000e-01, 6.37920000e+00, 7.20000000e-03, 7.92000000e-02,\n", - " 7.56000000e-02, 2.16000000e-02, 2.52000000e-02, 3.24000000e-02,\n", - " 2.88000000e-02, 2.08800000e-01, 5.04000000e-02, 6.69600000e-01,\n", - " 3.46320000e+00, 1.98000000e-01, 6.84000000e-02, 2.34000000e-01,\n", - " 1.24920000e+00, 9.72000000e-02, 6.12000000e-02, 2.70000000e-01,\n", - " 5.40000000e-02, 3.13200000e-01, 5.32800000e-01, 4.35600000e-01,\n", - " 3.96000000e-02, 2.01600000e-01, 1.40400000e-01, 1.04400000e-01,\n", - " 1.69200000e-01, 9.43200000e-01, 2.01600000e-01, 3.27600000e-01,\n", - " 5.32800000e-01, 6.48000000e-01, 5.04000000e-02, 1.44000000e-01,\n", - " 5.97600000e-01, 5.47200000e-01, 1.95120000e+00, 4.68000000e-02,\n", - " 7.16400000e-01, 8.64000000e-02, 2.12400000e-01, 2.98800000e-01,\n", - " 7.20000000e-02, 2.98800000e-01, 1.08000000e-01, 9.00000000e-02,\n", - " 2.52000000e-01, 2.84400000e-01, 6.48000000e-02, 2.88000000e-02,\n", - " 2.30400000e-01, 4.06800000e-01, 2.55600000e-01, 1.69200000e-01,\n", - " 9.72000000e-02, 1.08000000e-02, 4.10400000e-01, 1.15560000e+00,\n", - " 1.54800000e-01, 7.92000000e-02, 3.60000000e-03, 2.37600000e-01,\n", - " 1.69200000e-01, 5.40000000e-02, 6.48000000e-02, 2.84400000e-01,\n", - " 8.64000000e-02, 1.84320000e+00, 1.69200000e-01, 6.48000000e-02,\n", - " 0.00000000e+00, 3.67200000e-01, 8.64000000e-02, 1.15200000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.59039998e+03, -2.52731782e+03, -2.65432092e+01, 4.72865347e+01,\n", - " 0.00000000e+00, -1.10895542e+01, 1.62648030e+02, 0.00000000e+00,\n", - " 0.00000000e+00, -5.02856262e+01, 1.00834583e+02, 1.73570019e+02,\n", - " 0.00000000e+00, -2.40923592e+03, 2.40923592e+03]), array([ 3.54430000e-01, 1.65577000e+00, 3.23219000e+00, 2.29057000e+00,\n", - " 1.21670000e-01, 2.22180000e-01, 1.48120000e-01, 3.12110000e-01,\n", - " 5.13130000e-01, 7.93500000e-02, 3.12110000e-01, 2.48630000e-01,\n", - " 5.56508000e+00, 2.11600000e-02, 7.40600000e-02, 4.76100000e-02,\n", - " 2.77725000e+00, 1.99962000e+00, 3.01530000e-01, 4.70810000e-01,\n", - " 1.11090000e-01, 5.81900000e-02, 3.17400000e-02, 0.00000000e+00,\n", - " 1.05800000e-01, 3.49140000e-01, 2.64500000e-02, 2.03665000e+00,\n", - " 3.96750000e-01, 1.63461000e+00, 8.67560000e-01, 6.61250000e-01,\n", - " 7.30020000e-01, 3.17400000e-02, 0.00000000e+00, 3.70300000e-02,\n", - " 4.12620000e-01, 1.90440000e-01, 9.52200000e-02, 6.87700000e-02,\n", - " 2.38050000e-01, 2.22180000e-01, 5.97770000e-01, 1.25902000e+00,\n", - " 2.01020000e-01, 2.08955000e+00, 6.61250000e-01, 2.66087000e+00,\n", - " 3.33270000e-01, 9.29982000e+00, 5.81900000e-02, 7.40600000e-02,\n", - " 2.43340000e-01, 1.74570000e-01, 3.91460000e-01, 9.52200000e-02,\n", - " 3.49140000e-01, 2.78254000e+00, 4.82977000e+00, 1.29605000e+00,\n", - " 9.04590000e-01, 7.93500000e-01, 3.17400000e-01, 1.35424000e+00,\n", - " 1.63990000e-01, 1.32250000e-01, 1.29076000e+00, 1.10032000e+00,\n", - " 5.29000000e-02, 0.00000000e+00, 2.43340000e-01, 2.48630000e-01,\n", - " 2.11600000e-02, 5.81900000e-02, 4.44360000e-01, 9.09880000e-01,\n", - " 5.39580000e-01, 1.74570000e-01, 1.79860000e-01, 1.33308000e+00,\n", - " 3.09994000e+00, 2.75609000e+00, 6.03060000e-01, 9.73360000e-01,\n", - " 1.13735000e+00, 1.26960000e+00, 1.42830000e-01, 2.96240000e-01,\n", - " 5.29000000e-02, 6.34800000e-02, 9.52200000e-02, 0.00000000e+00,\n", - " 2.64500000e-02, 7.40600000e-02, 1.07387000e+00, 2.80370000e-01,\n", - " 3.17400000e-02, 0.00000000e+00, 7.93500000e-02, 8.62270000e-01,\n", - " 6.87700000e-01, 2.45456000e+00, 3.21632000e+00, 5.97770000e-01,\n", - " 9.52200000e-02, 4.76100000e-02, 2.48630000e-01, 4.76100000e-02,\n", - " 1.42301000e+00, 1.10561000e+00, 3.38560000e-01, 2.75080000e-01,\n", - " 2.88305000e+00, 5.81900000e-01, 0.00000000e+00, 1.39127000e+00,\n", - " 9.15170000e-01, 4.51766000e+00, 7.30020000e-01, 2.16361000e+00,\n", - " 4.49650000e-01, 6.13640000e-01, 1.67693000e+00, 2.81428000e+00,\n", - " 2.51804000e+00, 5.04137000e+00, 7.51180000e-01, 3.22690000e-01,\n", - " 2.14245000e+00, 2.65558000e+00, 9.04590000e-01, 4.97260000e-01,\n", - " 1.05800000e-01, 4.23200000e-01, 7.88210000e-01, 5.50160000e-01,\n", - " 4.65520000e-01, 1.37540000e+00, 3.91460000e-01, 1.32250000e-01,\n", - " 2.62913000e+00, 2.23767000e+00, 1.96259000e+00, 2.05252000e+00,\n", - " 3.12110000e-01, 3.54430000e-01, 6.87700000e-02, 1.85150000e-01,\n", - " 3.80880000e-01, 7.30020000e-01, 0.00000000e+00, 0.00000000e+00,\n", - " 5.25297000e+00, 7.63876000e+00, 1.65841500e+01, 4.33780000e-01,\n", - " 4.76100000e-01, 2.59210000e-01, 5.81900000e-02, 6.34800000e-02,\n", - " 1.58700000e-01, 1.37540000e-01, 8.51690000e-01, 7.77630000e-01,\n", - " 7.30020000e-01, 2.11600000e-01, 5.48044000e+00, 1.00351300e+01,\n", - " 1.53410000e-01, 1.32250000e-01, 3.54430000e-01, 1.42830000e-01,\n", - " 1.58700000e-01, 3.75590000e-01, 7.08860000e-01, 2.53920000e-01,\n", - " 3.59720000e-01, 3.70300000e-01, 4.76100000e-02, 9.04590000e-01,\n", - " 1.16380000e-01, 2.80370000e-01, 3.33270000e-01, 8.62270000e-01,\n", - " 6.71830000e-01, 5.81900000e-02, 9.99810000e-01, 3.01530000e-01,\n", - " 2.16890000e-01, 2.38050000e-01, 5.60740000e-01, 2.85660000e-01,\n", - " 6.18930000e-01, 3.17400000e-02, 2.90950000e-01, 1.79860000e-01,\n", - " 2.53920000e-01, 8.99300000e-02, 1.03631100e+01, 2.64500000e-01,\n", - " 2.32760000e-01, 1.05800000e+01, 3.80880000e-01, 6.87700000e-02,\n", - " 0.00000000e+00, 6.87700000e-02, 3.17400000e-02, 2.64500000e-01,\n", - " 3.65010000e-01, 7.40600000e-02, 2.80370000e-01, 3.49140000e+00,\n", - " 2.22709000e+00, 2.69261000e+00, 9.39504000e+00, 8.15718000e+00,\n", - " 2.22180000e-01, 1.26960000e-01, 2.13716000e+00, 1.37540000e+00,\n", - " 4.64991000e+00, 3.30096000e+00, 4.76100000e-02, 1.16380000e+00,\n", - " 3.33270000e-01, 4.72397000e+00, 2.64500000e-02, 3.70300000e-02,\n", - " 5.81900000e-02, 2.64500000e-02, 1.66635000e+00, 1.31721000e+00,\n", - " 1.32250000e+00, 4.15265000e+00, 2.16890000e-01, 5.29000000e-02,\n", - " 2.06839000e+00, 6.87700000e-02, 2.16890000e-01, 3.33799000e+00,\n", - " 2.27470000e-01, 2.11600000e-01, 2.01020000e-01, 2.32760000e-01,\n", - " 1.21670000e-01, 2.70319000e+00, 1.53410000e+00, 4.76100000e-01,\n", - " 7.24730000e-01, 2.53920000e-01, 4.76100000e-02, 1.35424000e+00,\n", - " 8.46400000e-01, 1.93085000e+00, 1.90440000e-01, 3.38560000e-01,\n", - " 1.21670000e-01, 1.95730000e-01, 3.96750000e-01, 1.51823000e+00,\n", - " 4.28490000e-01, 1.56055000e+00, 5.97770000e-01, 2.22180000e-01,\n", - " 4.65520000e-01, 7.98790000e-01, 1.33308000e+00, 3.63952000e+00,\n", - " 4.07330000e-01, 1.93085000e+00, 1.79860000e-01, 1.74570000e-01,\n", - " 4.76100000e-01, 9.68070000e-01, 3.70300000e-01, 1.10032000e+00,\n", - " 7.40600000e-02, 2.48630000e-01, 1.37540000e+00, 7.19440000e-01,\n", - " 8.99300000e-02, 1.63990000e-01, 5.76610000e-01, 3.33270000e-01,\n", - " 6.29510000e-01, 4.23200000e-01, 5.81900000e-02, 1.85150000e-01,\n", - " 4.23200000e-02, 5.29000000e-03, 2.14774000e+00, 2.87247000e+00,\n", - " 1.37540000e-01, 1.00510000e-01, 6.35329000e+00, 2.86718000e+00,\n", - " 5.44870000e-01, 2.14774000e+00, 3.33270000e-01, 1.12148000e+00,\n", - " 1.48120000e-01, 1.32250000e-01, 1.49707000e+00, 1.79860000e-01,\n", - " 6.87700000e-02, 1.04213000e+00, 5.87190000e-01, 2.75080000e-01,\n", - " 2.42282000e+00, 8.46400000e-02, 1.95730000e-01, 1.00510000e-01,\n", - " 1.42830000e-01, 5.29000000e-02, 3.30625000e+00, 1.72454000e+00,\n", - " 1.95730000e-01, 8.99300000e-02, 1.40714000e+00, 1.48120000e-01,\n", - " 7.03570000e-01, 5.29000000e-03, 6.50670000e-01, 8.35820000e-01,\n", - " 2.38050000e-01, 7.88210000e-01, 1.32250000e-01, 4.20555000e+00,\n", - " 1.79860000e-01, 1.74570000e-01, 1.63990000e-01, 6.05176000e+00,\n", - " 1.85150000e-01, 4.39070000e-01, 4.76100000e-02, 2.64500000e-02,\n", - " 1.46533000e+00, 5.23710000e-01, 4.23200000e-02, 0.00000000e+00,\n", - " 1.86208000e+00, 9.62780000e-01, 2.77196000e+00, 1.20612000e+00,\n", - " 3.17400000e-02, 2.11600000e-02, 1.58700000e-01, 7.19440000e-01,\n", - " 8.51690000e-01, 1.32250000e-01, 0.00000000e+00, 4.76100000e-02,\n", - " 4.97260000e-01, 9.52200000e-02, 1.69280000e-01, 2.80370000e-01,\n", - " 1.85679000e+00, 1.21670000e+00, 3.70300000e-02, 1.26960000e-01,\n", - " 6.87700000e-02, 5.29000000e-02, 5.29000000e-02, 1.58700000e-01,\n", - " 1.58700000e-01, 2.03665000e+00, 1.94143000e+00, 1.48120000e-01,\n", - " 2.06310000e-01, 7.93500000e-02, 5.81900000e-02, 1.74570000e-01,\n", - " 5.29000000e-02, 5.29000000e-02, 3.59720000e-01, 2.75080000e-01,\n", - " 3.75590000e-01, 4.70810000e-01, 4.01511000e+00, 8.25240000e-01,\n", - " 7.30020000e-01, 7.61760000e-01, 1.42301000e+00, 1.05800000e-01,\n", - " 6.87700000e-01, 1.96259000e+00, 1.37540000e-01, 5.58624000e+00,\n", - " 4.18439000e+00, 2.56565000e+00, 2.85660000e-01, 7.93500000e-02,\n", - " 4.68165000e+00, 1.18496000e+00, 1.97317000e+00, 4.33780000e-01,\n", - " 1.00510000e-01, 1.61874000e+00, 1.30134000e+00, 5.29000000e-02,\n", - " 2.11600000e-02, 1.58700000e-02, 4.76100000e-01, 2.11600000e-02,\n", - " 2.20593000e+00, 4.72926000e+00, 2.11600000e-01, 4.33780000e-01,\n", - " 9.73360000e-01, 2.64500000e-02, 1.21670000e-01, 1.42830000e+00,\n", - " 1.53410000e-01, 2.53920000e-01, 5.44870000e-01, 2.96769000e+00,\n", - " 1.63461000e+00, 3.38560000e-01, 5.34290000e-01, 7.08860000e-01,\n", - " 7.93500000e-02, 3.59720000e-01, 4.54940000e-01, 1.90440000e-01,\n", - " 2.64500000e-02, 2.85660000e-01, 1.37540000e-01, 1.32250000e-01,\n", - " 3.01530000e-01, 3.75590000e-01, 5.55450000e-01, 1.48120000e-01,\n", - " 1.58700000e-02, 2.01020000e-01, 2.55507000e+00, 1.42830000e-01,\n", - " 1.24844000e+00, 1.26960000e-01, 4.54940000e-01, 2.59210000e+00,\n", - " 4.06801000e+00, 9.09880000e-01, 1.73512000e+00, 2.01020000e-01,\n", - " 1.85150000e-01, 1.32250000e-01, 9.68070000e-01, 1.58700000e-01,\n", - " 1.69280000e-01, 9.52200000e-02, 2.64500000e-01, 2.53920000e-01,\n", - " 2.69790000e+00, 7.77630000e-01, 3.06820000e-01, 5.29000000e-03,\n", - " 2.59210000e-01, 9.78650000e-01, 1.12677000e+00, 1.05800000e+00,\n", - " 1.00510000e-01, 3.91460000e-01, 7.40600000e-01, 1.32250000e-01,\n", - " 3.33270000e-01, 2.01020000e-01, 8.99300000e-02, 1.48120000e-01,\n", - " 3.22690000e-01, 2.48630000e-01, 2.16890000e-01, 4.23200000e-02,\n", - " 1.59229000e+00, 2.02607000e+00, 7.93500000e-02, 8.46400000e-02,\n", - " 1.85150000e-01, 5.91422000e+00, 3.20045000e+00, 6.87700000e-02,\n", - " 2.25883000e+00, 1.17438000e+00, 5.29000000e-03, 2.27470000e-01,\n", - " 1.26960000e-01, 1.07916000e+00, 1.58700000e+00, 2.17948000e+00,\n", - " 1.48120000e-01, 4.23729000e+00, 7.24730000e-01, 3.06820000e+00,\n", - " 3.96750000e-01, 5.55450000e-01, 2.36463000e+00, 1.78802000e+00,\n", - " 7.35310000e-01, 8.41110000e-01, 0.00000000e+00, 5.29000000e-01,\n", - " 4.70810000e-01, 6.34800000e-02, 3.17400000e-02, 5.81900000e-02,\n", - " 8.99300000e-02, 1.69280000e-01, 3.49140000e-01, 2.38050000e-01,\n", - " 2.01020000e-01, 9.46910000e-01, 1.03155000e+00, 2.11600000e-02,\n", - " 2.06310000e-01, 2.85660000e-01, 1.26960000e-01, 1.95730000e-01,\n", - " 1.05800000e-01, 3.43850000e-01, 8.83430000e-01, 1.26960000e-01,\n", - " 1.00510000e-01, 5.79784000e+00, 2.27470000e-01, 1.95730000e-01,\n", - " 1.69280000e-01, 1.08445000e+00, 2.48630000e-01, 8.99300000e-02,\n", - " 7.61760000e-01, 2.01020000e-01, 1.40185000e+00, 3.70300000e-01,\n", - " 3.16871000e+00, 2.29057000e+00, 2.16890000e+00, 1.95730000e-01,\n", - " 2.11600000e-02, 2.48630000e-01, 5.81900000e-02, 1.42830000e-01,\n", - " 2.94124000e+00, 1.53410000e-01, 1.58700000e-02, 8.46400000e-02,\n", - " 1.96788000e+00, 4.97260000e-01, 1.16380000e-01, 4.02040000e-01,\n", - " 1.94672000e+00, 3.53372000e+00, 6.47496000e+00, 7.51180000e-01,\n", - " 3.40676000e+00, 4.57585000e+00, 3.96750000e-01, 2.06310000e-01,\n", - " 5.55450000e-01, 7.76572000e+00, 4.14736000e+00, 2.11600000e-02,\n", - " 2.38050000e-01, 3.49140000e-01, 1.48120000e-01, 6.77120000e-01,\n", - " 3.06820000e-01, 5.29000000e-01, 5.87190000e-01, 3.12639000e+00,\n", - " 7.35310000e-01, 4.23200000e-02, 8.88720000e-01, 1.40185000e+00,\n", - " 8.41110000e-01, 7.35310000e-01, 4.76100000e-02, 4.07330000e-01,\n", - " 2.48630000e-01, 8.99300000e-02, 4.76100000e-02, 3.90931000e+00,\n", - " 2.85660000e-01, 1.11090000e-01, 3.70300000e-01, 7.08860000e-01,\n", - " 4.18439000e+00, 2.33818000e+00, 3.65010000e-01, 5.07840000e-01,\n", - " 2.05252000e+00, 2.90950000e-01, 4.97260000e-01, 1.58700000e+00,\n", - " 1.34366000e+00, 1.95730000e-01, 2.43869000e+00, 2.22180000e-01,\n", - " 4.85622000e+00, 2.59210000e-01, 7.77630000e-01, 3.70300000e-02,\n", - " 2.64500000e-02, 6.87700000e-02, 4.02040000e-01, 2.69790000e-01,\n", - " 4.33780000e-01, 2.38050000e-01, 1.85150000e-01, 2.27470000e-01,\n", - " 7.98790000e-01, 2.75080000e-01, 1.11090000e-01, 1.05800000e+00,\n", - " 8.99300000e-02, 3.39618000e+00, 8.19950000e-01, 8.35820000e-01,\n", - " 1.95730000e-01, 3.06820000e-01, 1.16380000e-01, 3.77706000e+00,\n", - " 1.48120000e-01, 6.87700000e-02, 7.88210000e-01, 7.00396000e+00,\n", - " 1.05800000e-01, 1.69280000e-01, 2.11600000e-02, 3.23748000e+00,\n", - " 5.29000000e-02, 7.30020000e-01, 1.05800000e-01, 2.91479000e+00,\n", - " 1.18496000e+00, 4.76100000e-02, 1.05800000e-02, 1.95730000e+00,\n", - " 3.70300000e-02, 3.22690000e-01, 1.07916000e+00, 2.85660000e-01,\n", - " 1.30663000e+00, 4.39070000e-01, 9.31040000e-01, 1.48120000e-01,\n", - " 2.75080000e-01, 4.76100000e-02, 4.02569000e+00, 4.12620000e+00,\n", - " 8.94010000e-01, 2.19535000e+00, 4.50708000e+00, 1.74570000e-01,\n", - " 2.64500000e-02, 8.99300000e-02, 1.85150000e-01, 2.38050000e-01,\n", - " 7.93500000e-02, 3.17400000e-02, 1.74570000e-01, 4.23200000e-01,\n", - " 5.87190000e-01, 1.74570000e-01, 9.52200000e-02, 8.99300000e-02,\n", - " 1.21670000e-01, 1.58700000e-02, 3.91460000e-01, 2.01020000e-01,\n", - " 9.52200000e-02, 4.91970000e-01, 4.23200000e-02, 7.56470000e-01,\n", - " 1.29076000e+00, 4.70810000e-01, 1.22728000e+00, 2.22709000e+00,\n", - " 7.03570000e-01, 3.38560000e+00, 3.70300000e-01, 6.50670000e-01,\n", - " 1.26960000e+00, 5.13130000e-01, 2.43340000e-01, 3.06820000e-01,\n", - " 1.37540000e-01, 1.74570000e-01, 5.29000000e-03, 1.95730000e-01,\n", - " 8.99300000e-02, 4.76100000e-02, 2.16890000e-01, 9.89230000e-01,\n", - " 2.32760000e-01, 1.90440000e-01, 7.93500000e-02, 3.43850000e-01,\n", - " 2.26412000e+00, 9.57490000e-01, 2.59210000e-01, 6.29510000e-01,\n", - " 1.85150000e-01, 4.65520000e+00, 3.27980000e-01, 1.58171000e+00,\n", - " 3.17400000e-01, 4.02040000e-01, 1.63990000e-01, 4.65520000e-01,\n", - " 2.43340000e-01, 1.74570000e-01, 5.92480000e-01, 3.17400000e-02,\n", - " 9.52200000e-02, 2.48630000e-01, 1.85150000e-01, 2.43340000e-01,\n", - " 6.87700000e-02, 3.54430000e-01, 2.11600000e+00, 6.08350000e-01,\n", - " 9.57490000e-01, 5.76610000e-01, 3.33270000e-01, 7.30020000e-01,\n", - " 2.43869000e+00, 1.85679000e+00, 1.37540000e-01, 5.50160000e-01,\n", - " 2.80370000e-01, 3.65010000e-01, 8.25240000e-01, 1.57113000e+00,\n", - " 1.58700000e-02, 2.64500000e-02, 1.86737000e+00, 1.92556000e+00,\n", - " 2.96240000e-01, 3.70300000e-02, 2.06310000e-01, 1.37540000e-01,\n", - " 1.58700000e-02, 3.70300000e-02, 1.58700000e-01, 1.85150000e-01,\n", - " 2.10013000e+00, 1.01568000e+00, 1.11090000e-01, 3.12110000e-01,\n", - " 2.17948000e+00, 1.26960000e-01, 3.95692000e+00, 1.90440000e-01,\n", - " 2.85131000e+00, 2.59210000e-01, 1.12677000e+00, 2.11600000e-02,\n", - " 6.87700000e-02, 1.79860000e-01, 7.40600000e-02, 1.20083000e+00,\n", - " 7.30020000e-01, 5.76610000e-01, 8.46400000e-02, 2.27470000e-01,\n", - " 1.58700000e-02, 9.73360000e-01, 2.69790000e-01, 3.17400000e-02,\n", - " 4.44360000e-01, 1.54997000e+00, 5.50160000e-01, 5.29000000e-03,\n", - " 2.29586000e+00, 1.58700000e-01, 1.61874000e+00, 2.64500000e-02,\n", - " 1.58700000e-02, 2.06310000e-01, 9.62780000e-01, 1.48120000e-01,\n", - " 4.02040000e-01, 9.36330000e-01, 4.76100000e-02, 6.34800000e-02,\n", - " 3.34328000e+00, 2.11600000e-02, 2.11600000e-02, 1.69280000e-01,\n", - " 1.95730000e-01, 1.69280000e-01, 5.81900000e-02, 2.85660000e-01,\n", - " 2.43340000e-01, 3.38560000e-01, 2.53920000e-01, 7.30020000e-01,\n", - " 1.31721000e+00, 1.00510000e-01, 5.29000000e-02, 1.37540000e-01,\n", - " 2.27470000e-01, 2.32760000e-01, 7.61760000e-01, 8.99300000e-02,\n", - " 4.76100000e-02, 2.59210000e-01, 1.34895000e+00, 4.39070000e-01,\n", - " 2.48630000e-01, 9.37388000e+00, 1.05800000e-02, 1.16380000e-01,\n", - " 1.11090000e-01, 3.17400000e-02, 3.70300000e-02, 4.76100000e-02,\n", - " 4.23200000e-02, 3.06820000e-01, 7.40600000e-02, 9.83940000e-01,\n", - " 5.08898000e+00, 2.90950000e-01, 1.00510000e-01, 3.43850000e-01,\n", - " 1.83563000e+00, 1.42830000e-01, 8.99300000e-02, 3.96750000e-01,\n", - " 7.93500000e-02, 4.60230000e-01, 7.82920000e-01, 6.40090000e-01,\n", - " 5.81900000e-02, 2.96240000e-01, 2.06310000e-01, 1.53410000e-01,\n", - " 2.48630000e-01, 1.38598000e+00, 2.96240000e-01, 4.81390000e-01,\n", - " 7.82920000e-01, 9.52200000e-01, 7.40600000e-02, 2.11600000e-01,\n", - " 8.78140000e-01, 8.04080000e-01, 2.86718000e+00, 6.87700000e-02,\n", - " 1.05271000e+00, 1.26960000e-01, 3.12110000e-01, 4.39070000e-01,\n", - " 1.05800000e-01, 4.39070000e-01, 1.58700000e-01, 1.32250000e-01,\n", - " 3.70300000e-01, 4.17910000e-01, 9.52200000e-02, 4.23200000e-02,\n", - " 3.38560000e-01, 5.97770000e-01, 3.75590000e-01, 2.48630000e-01,\n", - " 1.42830000e-01, 1.58700000e-02, 6.03060000e-01, 1.69809000e+00,\n", - " 2.27470000e-01, 1.16380000e-01, 5.29000000e-03, 3.49140000e-01,\n", - " 2.48630000e-01, 7.93500000e-02, 9.52200000e-02, 4.17910000e-01,\n", - " 1.26960000e-01, 2.70848000e+00, 2.48630000e-01, 9.52200000e-02,\n", - " 0.00000000e+00, 5.39580000e-01, 1.26960000e-01, 1.69280000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.59332630e+03, -2.52731782e+03, -3.90035724e+01, 3.01122270e+01,\n", - " 0.00000000e+00, -1.59470622e+01, 1.28755833e+02, 0.00000000e+00,\n", - " 0.00000000e+00, -7.38915197e+01, 8.43048764e+01, 3.02025584e+02,\n", - " 0.00000000e+00, 2.81673842e+03, -3.09333337e+03]), array([ 3.54430000e-01, 1.65577000e+00, 3.23219000e+00, 2.29057000e+00,\n", - " 1.21670000e-01, 2.22180000e-01, 1.48120000e-01, 3.12110000e-01,\n", - " 5.13130000e-01, 7.93500000e-02, 3.12110000e-01, 2.48630000e-01,\n", - " 5.56508000e+00, 2.11600000e-02, 7.40600000e-02, 4.76100000e-02,\n", - " 2.77725000e+00, 1.99962000e+00, 3.01530000e-01, 4.70810000e-01,\n", - " 1.11090000e-01, 5.81900000e-02, 3.17400000e-02, 0.00000000e+00,\n", - " 1.05800000e-01, 3.49140000e-01, 2.64500000e-02, 2.03665000e+00,\n", - " 3.96750000e-01, 1.63461000e+00, 8.67560000e-01, 6.61250000e-01,\n", - " 7.30020000e-01, 3.17400000e-02, 0.00000000e+00, 3.70300000e-02,\n", - " 4.12620000e-01, 1.90440000e-01, 9.52200000e-02, 6.87700000e-02,\n", - " 2.38050000e-01, 2.22180000e-01, 5.97770000e-01, 1.25902000e+00,\n", - " 2.01020000e-01, 2.08955000e+00, 6.61250000e-01, 2.66087000e+00,\n", - " 3.33270000e-01, 9.29982000e+00, 5.81900000e-02, 7.40600000e-02,\n", - " 2.43340000e-01, 1.74570000e-01, 3.91460000e-01, 9.52200000e-02,\n", - " 3.49140000e-01, 2.78254000e+00, 4.82977000e+00, 1.29605000e+00,\n", - " 9.04590000e-01, 7.93500000e-01, 3.17400000e-01, 1.35424000e+00,\n", - " 1.63990000e-01, 1.32250000e-01, 1.29076000e+00, 1.10032000e+00,\n", - " 5.29000000e-02, 0.00000000e+00, 2.43340000e-01, 2.48630000e-01,\n", - " 2.11600000e-02, 5.81900000e-02, 4.44360000e-01, 9.09880000e-01,\n", - " 5.39580000e-01, 1.74570000e-01, 1.79860000e-01, 1.33308000e+00,\n", - " 3.09994000e+00, 2.75609000e+00, 6.03060000e-01, 9.73360000e-01,\n", - " 1.13735000e+00, 1.26960000e+00, 1.42830000e-01, 2.96240000e-01,\n", - " 5.29000000e-02, 6.34800000e-02, 9.52200000e-02, 0.00000000e+00,\n", - " 2.64500000e-02, 7.40600000e-02, 1.07387000e+00, 2.80370000e-01,\n", - " 3.17400000e-02, 0.00000000e+00, 7.93500000e-02, 8.62270000e-01,\n", - " 6.87700000e-01, 2.45456000e+00, 3.21632000e+00, 5.97770000e-01,\n", - " 9.52200000e-02, 4.76100000e-02, 2.48630000e-01, 4.76100000e-02,\n", - " 1.42301000e+00, 1.10561000e+00, 3.38560000e-01, 2.75080000e-01,\n", - " 2.88305000e+00, 5.81900000e-01, 0.00000000e+00, 1.39127000e+00,\n", - " 9.15170000e-01, 4.51766000e+00, 7.30020000e-01, 2.16361000e+00,\n", - " 4.49650000e-01, 6.13640000e-01, 1.67693000e+00, 2.81428000e+00,\n", - " 2.51804000e+00, 5.04137000e+00, 7.51180000e-01, 3.22690000e-01,\n", - " 2.14245000e+00, 2.65558000e+00, 9.04590000e-01, 4.97260000e-01,\n", - " 1.05800000e-01, 4.23200000e-01, 7.88210000e-01, 5.50160000e-01,\n", - " 4.65520000e-01, 1.37540000e+00, 3.91460000e-01, 1.32250000e-01,\n", - " 2.62913000e+00, 2.23767000e+00, 1.96259000e+00, 2.05252000e+00,\n", - " 3.12110000e-01, 3.54430000e-01, 6.87700000e-02, 1.85150000e-01,\n", - " 3.80880000e-01, 7.30020000e-01, 0.00000000e+00, 0.00000000e+00,\n", - " 5.25297000e+00, 7.63876000e+00, 1.65841500e+01, 4.33780000e-01,\n", - " 4.76100000e-01, 2.59210000e-01, 5.81900000e-02, 6.34800000e-02,\n", - " 1.58700000e-01, 1.37540000e-01, 8.51690000e-01, 7.77630000e-01,\n", - " 7.30020000e-01, 2.11600000e-01, 5.48044000e+00, 1.00351300e+01,\n", - " 1.53410000e-01, 1.32250000e-01, 3.54430000e-01, 1.42830000e-01,\n", - " 1.58700000e-01, 3.75590000e-01, 7.08860000e-01, 2.53920000e-01,\n", - " 3.59720000e-01, 3.70300000e-01, 4.76100000e-02, 9.04590000e-01,\n", - " 1.16380000e-01, 2.80370000e-01, 3.33270000e-01, 8.62270000e-01,\n", - " 6.71830000e-01, 5.81900000e-02, 9.99810000e-01, 3.01530000e-01,\n", - " 2.16890000e-01, 2.38050000e-01, 5.60740000e-01, 2.85660000e-01,\n", - " 6.18930000e-01, 3.17400000e-02, 2.90950000e-01, 1.79860000e-01,\n", - " 2.53920000e-01, 8.99300000e-02, 1.03631100e+01, 2.64500000e-01,\n", - " 2.32760000e-01, 1.05800000e+01, 3.80880000e-01, 6.87700000e-02,\n", - " 0.00000000e+00, 6.87700000e-02, 3.17400000e-02, 2.64500000e-01,\n", - " 3.65010000e-01, 7.40600000e-02, 2.80370000e-01, 3.49140000e+00,\n", - " 2.22709000e+00, 2.69261000e+00, 9.39504000e+00, 8.15718000e+00,\n", - " 2.22180000e-01, 1.26960000e-01, 2.13716000e+00, 1.37540000e+00,\n", - " 4.64991000e+00, 3.30096000e+00, 4.76100000e-02, 1.16380000e+00,\n", - " 3.33270000e-01, 4.72397000e+00, 2.64500000e-02, 3.70300000e-02,\n", - " 5.81900000e-02, 2.64500000e-02, 1.66635000e+00, 1.31721000e+00,\n", - " 1.32250000e+00, 4.15265000e+00, 2.16890000e-01, 5.29000000e-02,\n", - " 2.06839000e+00, 6.87700000e-02, 2.16890000e-01, 3.33799000e+00,\n", - " 2.27470000e-01, 2.11600000e-01, 2.01020000e-01, 2.32760000e-01,\n", - " 1.21670000e-01, 2.70319000e+00, 1.53410000e+00, 4.76100000e-01,\n", - " 7.24730000e-01, 2.53920000e-01, 4.76100000e-02, 1.35424000e+00,\n", - " 8.46400000e-01, 1.93085000e+00, 1.90440000e-01, 3.38560000e-01,\n", - " 1.21670000e-01, 1.95730000e-01, 3.96750000e-01, 1.51823000e+00,\n", - " 4.28490000e-01, 1.56055000e+00, 5.97770000e-01, 2.22180000e-01,\n", - " 4.65520000e-01, 7.98790000e-01, 1.33308000e+00, 3.63952000e+00,\n", - " 4.07330000e-01, 1.93085000e+00, 1.79860000e-01, 1.74570000e-01,\n", - " 4.76100000e-01, 9.68070000e-01, 3.70300000e-01, 1.10032000e+00,\n", - " 7.40600000e-02, 2.48630000e-01, 1.37540000e+00, 7.19440000e-01,\n", - " 8.99300000e-02, 1.63990000e-01, 5.76610000e-01, 3.33270000e-01,\n", - " 6.29510000e-01, 4.23200000e-01, 5.81900000e-02, 1.85150000e-01,\n", - " 4.23200000e-02, 5.29000000e-03, 2.14774000e+00, 2.87247000e+00,\n", - " 1.37540000e-01, 1.00510000e-01, 6.35329000e+00, 2.86718000e+00,\n", - " 5.44870000e-01, 2.14774000e+00, 3.33270000e-01, 1.12148000e+00,\n", - " 1.48120000e-01, 1.32250000e-01, 1.49707000e+00, 1.79860000e-01,\n", - " 6.87700000e-02, 1.04213000e+00, 5.87190000e-01, 2.75080000e-01,\n", - " 2.42282000e+00, 8.46400000e-02, 1.95730000e-01, 1.00510000e-01,\n", - " 1.42830000e-01, 5.29000000e-02, 3.30625000e+00, 1.72454000e+00,\n", - " 1.95730000e-01, 8.99300000e-02, 1.40714000e+00, 1.48120000e-01,\n", - " 7.03570000e-01, 5.29000000e-03, 6.50670000e-01, 8.35820000e-01,\n", - " 2.38050000e-01, 7.88210000e-01, 1.32250000e-01, 4.20555000e+00,\n", - " 1.79860000e-01, 1.74570000e-01, 1.63990000e-01, 6.05176000e+00,\n", - " 1.85150000e-01, 4.39070000e-01, 4.76100000e-02, 2.64500000e-02,\n", - " 1.46533000e+00, 5.23710000e-01, 4.23200000e-02, 0.00000000e+00,\n", - " 1.86208000e+00, 9.62780000e-01, 2.77196000e+00, 1.20612000e+00,\n", - " 3.17400000e-02, 2.11600000e-02, 1.58700000e-01, 7.19440000e-01,\n", - " 8.51690000e-01, 1.32250000e-01, 0.00000000e+00, 4.76100000e-02,\n", - " 4.97260000e-01, 9.52200000e-02, 1.69280000e-01, 2.80370000e-01,\n", - " 1.85679000e+00, 1.21670000e+00, 3.70300000e-02, 1.26960000e-01,\n", - " 6.87700000e-02, 5.29000000e-02, 5.29000000e-02, 1.58700000e-01,\n", - " 1.58700000e-01, 2.03665000e+00, 1.94143000e+00, 1.48120000e-01,\n", - " 2.06310000e-01, 7.93500000e-02, 5.81900000e-02, 1.74570000e-01,\n", - " 5.29000000e-02, 5.29000000e-02, 3.59720000e-01, 2.75080000e-01,\n", - " 3.75590000e-01, 4.70810000e-01, 4.01511000e+00, 8.25240000e-01,\n", - " 7.30020000e-01, 7.61760000e-01, 1.42301000e+00, 1.05800000e-01,\n", - " 6.87700000e-01, 1.96259000e+00, 1.37540000e-01, 5.58624000e+00,\n", - " 4.18439000e+00, 2.56565000e+00, 2.85660000e-01, 7.93500000e-02,\n", - " 4.68165000e+00, 1.18496000e+00, 1.97317000e+00, 4.33780000e-01,\n", - " 1.00510000e-01, 1.61874000e+00, 1.30134000e+00, 5.29000000e-02,\n", - " 2.11600000e-02, 1.58700000e-02, 4.76100000e-01, 2.11600000e-02,\n", - " 2.20593000e+00, 4.72926000e+00, 2.11600000e-01, 4.33780000e-01,\n", - " 9.73360000e-01, 2.64500000e-02, 1.21670000e-01, 1.42830000e+00,\n", - " 1.53410000e-01, 2.53920000e-01, 5.44870000e-01, 2.96769000e+00,\n", - " 1.63461000e+00, 3.38560000e-01, 5.34290000e-01, 7.08860000e-01,\n", - " 7.93500000e-02, 3.59720000e-01, 4.54940000e-01, 1.90440000e-01,\n", - " 2.64500000e-02, 2.85660000e-01, 1.37540000e-01, 1.32250000e-01,\n", - " 3.01530000e-01, 3.75590000e-01, 5.55450000e-01, 1.48120000e-01,\n", - " 1.58700000e-02, 2.01020000e-01, 2.55507000e+00, 1.42830000e-01,\n", - " 1.24844000e+00, 1.26960000e-01, 4.54940000e-01, 2.59210000e+00,\n", - " 4.06801000e+00, 9.09880000e-01, 1.73512000e+00, 2.01020000e-01,\n", - " 1.85150000e-01, 1.32250000e-01, 9.68070000e-01, 1.58700000e-01,\n", - " 1.69280000e-01, 9.52200000e-02, 2.64500000e-01, 2.53920000e-01,\n", - " 2.69790000e+00, 7.77630000e-01, 3.06820000e-01, 5.29000000e-03,\n", - " 2.59210000e-01, 9.78650000e-01, 1.12677000e+00, 1.05800000e+00,\n", - " 1.00510000e-01, 3.91460000e-01, 7.40600000e-01, 1.32250000e-01,\n", - " 3.33270000e-01, 2.01020000e-01, 8.99300000e-02, 1.48120000e-01,\n", - " 3.22690000e-01, 2.48630000e-01, 2.16890000e-01, 4.23200000e-02,\n", - " 1.59229000e+00, 2.02607000e+00, 7.93500000e-02, 8.46400000e-02,\n", - " 1.85150000e-01, 5.91422000e+00, 3.20045000e+00, 6.87700000e-02,\n", - " 2.25883000e+00, 1.17438000e+00, 5.29000000e-03, 2.27470000e-01,\n", - " 1.26960000e-01, 1.07916000e+00, 1.58700000e+00, 2.17948000e+00,\n", - " 1.48120000e-01, 4.23729000e+00, 7.24730000e-01, 3.06820000e+00,\n", - " 3.96750000e-01, 5.55450000e-01, 2.36463000e+00, 1.78802000e+00,\n", - " 7.35310000e-01, 8.41110000e-01, 0.00000000e+00, 5.29000000e-01,\n", - " 4.70810000e-01, 6.34800000e-02, 3.17400000e-02, 5.81900000e-02,\n", - " 8.99300000e-02, 1.69280000e-01, 3.49140000e-01, 2.38050000e-01,\n", - " 2.01020000e-01, 9.46910000e-01, 1.03155000e+00, 2.11600000e-02,\n", - " 2.06310000e-01, 2.85660000e-01, 1.26960000e-01, 1.95730000e-01,\n", - " 1.05800000e-01, 3.43850000e-01, 8.83430000e-01, 1.26960000e-01,\n", - " 1.00510000e-01, 5.79784000e+00, 2.27470000e-01, 1.95730000e-01,\n", - " 1.69280000e-01, 1.08445000e+00, 2.48630000e-01, 8.99300000e-02,\n", - " 7.61760000e-01, 2.01020000e-01, 1.40185000e+00, 3.70300000e-01,\n", - " 3.16871000e+00, 2.29057000e+00, 2.16890000e+00, 1.95730000e-01,\n", - " 2.11600000e-02, 2.48630000e-01, 5.81900000e-02, 1.42830000e-01,\n", - " 2.94124000e+00, 1.53410000e-01, 1.58700000e-02, 8.46400000e-02,\n", - " 1.96788000e+00, 4.97260000e-01, 1.16380000e-01, 4.02040000e-01,\n", - " 1.94672000e+00, 3.53372000e+00, 6.47496000e+00, 7.51180000e-01,\n", - " 3.40676000e+00, 4.57585000e+00, 3.96750000e-01, 2.06310000e-01,\n", - " 5.55450000e-01, 7.76572000e+00, 4.14736000e+00, 2.11600000e-02,\n", - " 2.38050000e-01, 3.49140000e-01, 1.48120000e-01, 6.77120000e-01,\n", - " 3.06820000e-01, 5.29000000e-01, 5.87190000e-01, 3.12639000e+00,\n", - " 7.35310000e-01, 4.23200000e-02, 8.88720000e-01, 1.40185000e+00,\n", - " 8.41110000e-01, 7.35310000e-01, 4.76100000e-02, 4.07330000e-01,\n", - " 2.48630000e-01, 8.99300000e-02, 4.76100000e-02, 3.90931000e+00,\n", - " 2.85660000e-01, 1.11090000e-01, 3.70300000e-01, 7.08860000e-01,\n", - " 4.18439000e+00, 2.33818000e+00, 3.65010000e-01, 5.07840000e-01,\n", - " 2.05252000e+00, 2.90950000e-01, 4.97260000e-01, 1.58700000e+00,\n", - " 1.34366000e+00, 1.95730000e-01, 2.43869000e+00, 2.22180000e-01,\n", - " 4.85622000e+00, 2.59210000e-01, 7.77630000e-01, 3.70300000e-02,\n", - " 2.64500000e-02, 6.87700000e-02, 4.02040000e-01, 2.69790000e-01,\n", - " 4.33780000e-01, 2.38050000e-01, 1.85150000e-01, 2.27470000e-01,\n", - " 7.98790000e-01, 2.75080000e-01, 1.11090000e-01, 1.05800000e+00,\n", - " 8.99300000e-02, 3.39618000e+00, 8.19950000e-01, 8.35820000e-01,\n", - " 1.95730000e-01, 3.06820000e-01, 1.16380000e-01, 3.77706000e+00,\n", - " 1.48120000e-01, 6.87700000e-02, 7.88210000e-01, 7.00396000e+00,\n", - " 1.05800000e-01, 1.69280000e-01, 2.11600000e-02, 3.23748000e+00,\n", - " 5.29000000e-02, 7.30020000e-01, 1.05800000e-01, 2.91479000e+00,\n", - " 1.18496000e+00, 4.76100000e-02, 1.05800000e-02, 1.95730000e+00,\n", - " 3.70300000e-02, 3.22690000e-01, 1.07916000e+00, 2.85660000e-01,\n", - " 1.30663000e+00, 4.39070000e-01, 9.31040000e-01, 1.48120000e-01,\n", - " 2.75080000e-01, 4.76100000e-02, 4.02569000e+00, 4.12620000e+00,\n", - " 8.94010000e-01, 2.19535000e+00, 4.50708000e+00, 1.74570000e-01,\n", - " 2.64500000e-02, 8.99300000e-02, 1.85150000e-01, 2.38050000e-01,\n", - " 7.93500000e-02, 3.17400000e-02, 1.74570000e-01, 4.23200000e-01,\n", - " 5.87190000e-01, 1.74570000e-01, 9.52200000e-02, 8.99300000e-02,\n", - " 1.21670000e-01, 1.58700000e-02, 3.91460000e-01, 2.01020000e-01,\n", - " 9.52200000e-02, 4.91970000e-01, 4.23200000e-02, 7.56470000e-01,\n", - " 1.29076000e+00, 4.70810000e-01, 1.22728000e+00, 2.22709000e+00,\n", - " 7.03570000e-01, 3.38560000e+00, 3.70300000e-01, 6.50670000e-01,\n", - " 1.26960000e+00, 5.13130000e-01, 2.43340000e-01, 3.06820000e-01,\n", - " 1.37540000e-01, 1.74570000e-01, 5.29000000e-03, 1.95730000e-01,\n", - " 8.99300000e-02, 4.76100000e-02, 2.16890000e-01, 9.89230000e-01,\n", - " 2.32760000e-01, 1.90440000e-01, 7.93500000e-02, 3.43850000e-01,\n", - " 2.26412000e+00, 9.57490000e-01, 2.59210000e-01, 6.29510000e-01,\n", - " 1.85150000e-01, 4.65520000e+00, 3.27980000e-01, 1.58171000e+00,\n", - " 3.17400000e-01, 4.02040000e-01, 1.63990000e-01, 4.65520000e-01,\n", - " 2.43340000e-01, 1.74570000e-01, 5.92480000e-01, 3.17400000e-02,\n", - " 9.52200000e-02, 2.48630000e-01, 1.85150000e-01, 2.43340000e-01,\n", - " 6.87700000e-02, 3.54430000e-01, 2.11600000e+00, 6.08350000e-01,\n", - " 9.57490000e-01, 5.76610000e-01, 3.33270000e-01, 7.30020000e-01,\n", - " 2.43869000e+00, 1.85679000e+00, 1.37540000e-01, 5.50160000e-01,\n", - " 2.80370000e-01, 3.65010000e-01, 8.25240000e-01, 1.57113000e+00,\n", - " 1.58700000e-02, 2.64500000e-02, 1.86737000e+00, 1.92556000e+00,\n", - " 2.96240000e-01, 3.70300000e-02, 2.06310000e-01, 1.37540000e-01,\n", - " 1.58700000e-02, 3.70300000e-02, 1.58700000e-01, 1.85150000e-01,\n", - " 2.10013000e+00, 1.01568000e+00, 1.11090000e-01, 3.12110000e-01,\n", - " 2.17948000e+00, 1.26960000e-01, 3.95692000e+00, 1.90440000e-01,\n", - " 2.85131000e+00, 2.59210000e-01, 1.12677000e+00, 2.11600000e-02,\n", - " 6.87700000e-02, 1.79860000e-01, 7.40600000e-02, 1.20083000e+00,\n", - " 7.30020000e-01, 5.76610000e-01, 8.46400000e-02, 2.27470000e-01,\n", - " 1.58700000e-02, 9.73360000e-01, 2.69790000e-01, 3.17400000e-02,\n", - " 4.44360000e-01, 1.54997000e+00, 5.50160000e-01, 5.29000000e-03,\n", - " 2.29586000e+00, 1.58700000e-01, 1.61874000e+00, 2.64500000e-02,\n", - " 1.58700000e-02, 2.06310000e-01, 9.62780000e-01, 1.48120000e-01,\n", - " 4.02040000e-01, 9.36330000e-01, 4.76100000e-02, 6.34800000e-02,\n", - " 3.34328000e+00, 2.11600000e-02, 2.11600000e-02, 1.69280000e-01,\n", - " 1.95730000e-01, 1.69280000e-01, 5.81900000e-02, 2.85660000e-01,\n", - " 2.43340000e-01, 3.38560000e-01, 2.53920000e-01, 7.30020000e-01,\n", - " 1.31721000e+00, 1.00510000e-01, 5.29000000e-02, 1.37540000e-01,\n", - " 2.27470000e-01, 2.32760000e-01, 7.61760000e-01, 8.99300000e-02,\n", - " 4.76100000e-02, 2.59210000e-01, 1.34895000e+00, 4.39070000e-01,\n", - " 2.48630000e-01, 9.37388000e+00, 1.05800000e-02, 1.16380000e-01,\n", - " 1.11090000e-01, 3.17400000e-02, 3.70300000e-02, 4.76100000e-02,\n", - " 4.23200000e-02, 3.06820000e-01, 7.40600000e-02, 9.83940000e-01,\n", - " 5.08898000e+00, 2.90950000e-01, 1.00510000e-01, 3.43850000e-01,\n", - " 1.83563000e+00, 1.42830000e-01, 8.99300000e-02, 3.96750000e-01,\n", - " 7.93500000e-02, 4.60230000e-01, 7.82920000e-01, 6.40090000e-01,\n", - " 5.81900000e-02, 2.96240000e-01, 2.06310000e-01, 1.53410000e-01,\n", - " 2.48630000e-01, 1.38598000e+00, 2.96240000e-01, 4.81390000e-01,\n", - " 7.82920000e-01, 9.52200000e-01, 7.40600000e-02, 2.11600000e-01,\n", - " 8.78140000e-01, 8.04080000e-01, 2.86718000e+00, 6.87700000e-02,\n", - " 1.05271000e+00, 1.26960000e-01, 3.12110000e-01, 4.39070000e-01,\n", - " 1.05800000e-01, 4.39070000e-01, 1.58700000e-01, 1.32250000e-01,\n", - " 3.70300000e-01, 4.17910000e-01, 9.52200000e-02, 4.23200000e-02,\n", - " 3.38560000e-01, 5.97770000e-01, 3.75590000e-01, 2.48630000e-01,\n", - " 1.42830000e-01, 1.58700000e-02, 6.03060000e-01, 1.69809000e+00,\n", - " 2.27470000e-01, 1.16380000e-01, 5.29000000e-03, 3.49140000e-01,\n", - " 2.48630000e-01, 7.93500000e-02, 9.52200000e-02, 4.17910000e-01,\n", - " 1.26960000e-01, 2.70848000e+00, 2.48630000e-01, 9.52200000e-02,\n", - " 0.00000000e+00, 5.39580000e-01, 1.26960000e-01, 1.69280000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.59361444e+03, -2.52731782e+03, -3.90035741e+01, 2.97690487e+01,\n", - " 0.00000000e+00, -1.89868251e+01, 1.28285475e+02, 0.00000000e+00,\n", - " 0.00000000e+00, -7.38915737e+01, 8.39070788e+01, 2.35011290e+02,\n", - " 0.00000000e+00, -2.30427520e+03, 2.09865690e+03]), array([ 3.54430000e-01, 1.65577000e+00, 3.23219000e+00, 2.29057000e+00,\n", - " 1.21670000e-01, 2.22180000e-01, 1.48120000e-01, 3.12110000e-01,\n", - " 5.13130000e-01, 7.93500000e-02, 3.12110000e-01, 2.48630000e-01,\n", - " 5.56508000e+00, 2.11600000e-02, 7.40600000e-02, 4.76100000e-02,\n", - " 2.77725000e+00, 1.99962000e+00, 3.01530000e-01, 4.70810000e-01,\n", - " 1.11090000e-01, 5.81900000e-02, 3.17400000e-02, 0.00000000e+00,\n", - " 1.05800000e-01, 3.49140000e-01, 2.64500000e-02, 2.03665000e+00,\n", - " 3.96750000e-01, 1.63461000e+00, 8.67560000e-01, 6.61250000e-01,\n", - " 7.30020000e-01, 3.17400000e-02, 0.00000000e+00, 3.70300000e-02,\n", - " 4.12620000e-01, 1.90440000e-01, 9.52200000e-02, 6.87700000e-02,\n", - " 2.38050000e-01, 2.22180000e-01, 5.97770000e-01, 1.25902000e+00,\n", - " 2.01020000e-01, 2.08955000e+00, 6.61250000e-01, 2.66087000e+00,\n", - " 3.33270000e-01, 9.29982000e+00, 5.81900000e-02, 7.40600000e-02,\n", - " 2.43340000e-01, 1.74570000e-01, 3.91460000e-01, 9.52200000e-02,\n", - " 3.49140000e-01, 2.78254000e+00, 4.82977000e+00, 1.29605000e+00,\n", - " 9.04590000e-01, 7.93500000e-01, 3.17400000e-01, 1.35424000e+00,\n", - " 1.63990000e-01, 1.32250000e-01, 1.29076000e+00, 1.10032000e+00,\n", - " 5.29000000e-02, 0.00000000e+00, 2.43340000e-01, 2.48630000e-01,\n", - " 2.11600000e-02, 5.81900000e-02, 4.44360000e-01, 9.09880000e-01,\n", - " 5.39580000e-01, 1.74570000e-01, 1.79860000e-01, 1.33308000e+00,\n", - " 3.09994000e+00, 2.75609000e+00, 6.03060000e-01, 9.73360000e-01,\n", - " 1.13735000e+00, 1.26960000e+00, 1.42830000e-01, 2.96240000e-01,\n", - " 5.29000000e-02, 6.34800000e-02, 9.52200000e-02, 0.00000000e+00,\n", - " 2.64500000e-02, 7.40600000e-02, 1.07387000e+00, 2.80370000e-01,\n", - " 3.17400000e-02, 0.00000000e+00, 7.93500000e-02, 8.62270000e-01,\n", - " 6.87700000e-01, 2.45456000e+00, 3.21632000e+00, 5.97770000e-01,\n", - " 9.52200000e-02, 4.76100000e-02, 2.48630000e-01, 4.76100000e-02,\n", - " 1.42301000e+00, 1.10561000e+00, 3.38560000e-01, 2.75080000e-01,\n", - " 2.88305000e+00, 5.81900000e-01, 0.00000000e+00, 1.39127000e+00,\n", - " 9.15170000e-01, 4.51766000e+00, 7.30020000e-01, 2.16361000e+00,\n", - " 4.49650000e-01, 6.13640000e-01, 1.67693000e+00, 2.81428000e+00,\n", - " 2.51804000e+00, 5.04137000e+00, 7.51180000e-01, 3.22690000e-01,\n", - " 2.14245000e+00, 2.65558000e+00, 9.04590000e-01, 4.97260000e-01,\n", - " 1.05800000e-01, 4.23200000e-01, 7.88210000e-01, 5.50160000e-01,\n", - " 4.65520000e-01, 1.37540000e+00, 3.91460000e-01, 1.32250000e-01,\n", - " 2.62913000e+00, 2.23767000e+00, 1.96259000e+00, 2.05252000e+00,\n", - " 3.12110000e-01, 3.54430000e-01, 6.87700000e-02, 1.85150000e-01,\n", - " 3.80880000e-01, 7.30020000e-01, 0.00000000e+00, 0.00000000e+00,\n", - " 5.25297000e+00, 7.63876000e+00, 1.65841500e+01, 4.33780000e-01,\n", - " 4.76100000e-01, 2.59210000e-01, 5.81900000e-02, 6.34800000e-02,\n", - " 1.58700000e-01, 1.37540000e-01, 8.51690000e-01, 7.77630000e-01,\n", - " 7.30020000e-01, 2.11600000e-01, 5.48044000e+00, 1.00351300e+01,\n", - " 1.53410000e-01, 1.32250000e-01, 3.54430000e-01, 1.42830000e-01,\n", - " 1.58700000e-01, 3.75590000e-01, 7.08860000e-01, 2.53920000e-01,\n", - " 3.59720000e-01, 3.70300000e-01, 4.76100000e-02, 9.04590000e-01,\n", - " 1.16380000e-01, 2.80370000e-01, 3.33270000e-01, 8.62270000e-01,\n", - " 6.71830000e-01, 5.81900000e-02, 9.99810000e-01, 3.01530000e-01,\n", - " 2.16890000e-01, 2.38050000e-01, 5.60740000e-01, 2.85660000e-01,\n", - " 6.18930000e-01, 3.17400000e-02, 2.90950000e-01, 1.79860000e-01,\n", - " 2.53920000e-01, 8.99300000e-02, 1.03631100e+01, 2.64500000e-01,\n", - " 2.32760000e-01, 1.05800000e+01, 3.80880000e-01, 6.87700000e-02,\n", - " 0.00000000e+00, 6.87700000e-02, 3.17400000e-02, 2.64500000e-01,\n", - " 3.65010000e-01, 7.40600000e-02, 2.80370000e-01, 3.49140000e+00,\n", - " 2.22709000e+00, 2.69261000e+00, 9.39504000e+00, 8.15718000e+00,\n", - " 2.22180000e-01, 1.26960000e-01, 2.13716000e+00, 1.37540000e+00,\n", - " 4.64991000e+00, 3.30096000e+00, 4.76100000e-02, 1.16380000e+00,\n", - " 3.33270000e-01, 4.72397000e+00, 2.64500000e-02, 3.70300000e-02,\n", - " 5.81900000e-02, 2.64500000e-02, 1.66635000e+00, 1.31721000e+00,\n", - " 1.32250000e+00, 4.15265000e+00, 2.16890000e-01, 5.29000000e-02,\n", - " 2.06839000e+00, 6.87700000e-02, 2.16890000e-01, 3.33799000e+00,\n", - " 2.27470000e-01, 2.11600000e-01, 2.01020000e-01, 2.32760000e-01,\n", - " 1.21670000e-01, 2.70319000e+00, 1.53410000e+00, 4.76100000e-01,\n", - " 7.24730000e-01, 2.53920000e-01, 4.76100000e-02, 1.35424000e+00,\n", - " 8.46400000e-01, 1.93085000e+00, 1.90440000e-01, 3.38560000e-01,\n", - " 1.21670000e-01, 1.95730000e-01, 3.96750000e-01, 1.51823000e+00,\n", - " 4.28490000e-01, 1.56055000e+00, 5.97770000e-01, 2.22180000e-01,\n", - " 4.65520000e-01, 7.98790000e-01, 1.33308000e+00, 3.63952000e+00,\n", - " 4.07330000e-01, 1.93085000e+00, 1.79860000e-01, 1.74570000e-01,\n", - " 4.76100000e-01, 9.68070000e-01, 3.70300000e-01, 1.10032000e+00,\n", - " 7.40600000e-02, 2.48630000e-01, 1.37540000e+00, 7.19440000e-01,\n", - " 8.99300000e-02, 1.63990000e-01, 5.76610000e-01, 3.33270000e-01,\n", - " 6.29510000e-01, 4.23200000e-01, 5.81900000e-02, 1.85150000e-01,\n", - " 4.23200000e-02, 5.29000000e-03, 2.14774000e+00, 2.87247000e+00,\n", - " 1.37540000e-01, 1.00510000e-01, 6.35329000e+00, 2.86718000e+00,\n", - " 5.44870000e-01, 2.14774000e+00, 3.33270000e-01, 1.12148000e+00,\n", - " 1.48120000e-01, 1.32250000e-01, 1.49707000e+00, 1.79860000e-01,\n", - " 6.87700000e-02, 1.04213000e+00, 5.87190000e-01, 2.75080000e-01,\n", - " 2.42282000e+00, 8.46400000e-02, 1.95730000e-01, 1.00510000e-01,\n", - " 1.42830000e-01, 5.29000000e-02, 3.30625000e+00, 1.72454000e+00,\n", - " 1.95730000e-01, 8.99300000e-02, 1.40714000e+00, 1.48120000e-01,\n", - " 7.03570000e-01, 5.29000000e-03, 6.50670000e-01, 8.35820000e-01,\n", - " 2.38050000e-01, 7.88210000e-01, 1.32250000e-01, 4.20555000e+00,\n", - " 1.79860000e-01, 1.74570000e-01, 1.63990000e-01, 6.05176000e+00,\n", - " 1.85150000e-01, 4.39070000e-01, 4.76100000e-02, 2.64500000e-02,\n", - " 1.46533000e+00, 5.23710000e-01, 4.23200000e-02, 0.00000000e+00,\n", - " 1.86208000e+00, 9.62780000e-01, 2.77196000e+00, 1.20612000e+00,\n", - " 3.17400000e-02, 2.11600000e-02, 1.58700000e-01, 7.19440000e-01,\n", - " 8.51690000e-01, 1.32250000e-01, 0.00000000e+00, 4.76100000e-02,\n", - " 4.97260000e-01, 9.52200000e-02, 1.69280000e-01, 2.80370000e-01,\n", - " 1.85679000e+00, 1.21670000e+00, 3.70300000e-02, 1.26960000e-01,\n", - " 6.87700000e-02, 5.29000000e-02, 5.29000000e-02, 1.58700000e-01,\n", - " 1.58700000e-01, 2.03665000e+00, 1.94143000e+00, 1.48120000e-01,\n", - " 2.06310000e-01, 7.93500000e-02, 5.81900000e-02, 1.74570000e-01,\n", - " 5.29000000e-02, 5.29000000e-02, 3.59720000e-01, 2.75080000e-01,\n", - " 3.75590000e-01, 4.70810000e-01, 4.01511000e+00, 8.25240000e-01,\n", - " 7.30020000e-01, 7.61760000e-01, 1.42301000e+00, 1.05800000e-01,\n", - " 6.87700000e-01, 1.96259000e+00, 1.37540000e-01, 5.58624000e+00,\n", - " 4.18439000e+00, 2.56565000e+00, 2.85660000e-01, 7.93500000e-02,\n", - " 4.68165000e+00, 1.18496000e+00, 1.97317000e+00, 4.33780000e-01,\n", - " 1.00510000e-01, 1.61874000e+00, 1.30134000e+00, 5.29000000e-02,\n", - " 2.11600000e-02, 1.58700000e-02, 4.76100000e-01, 2.11600000e-02,\n", - " 2.20593000e+00, 4.72926000e+00, 2.11600000e-01, 4.33780000e-01,\n", - " 9.73360000e-01, 2.64500000e-02, 1.21670000e-01, 1.42830000e+00,\n", - " 1.53410000e-01, 2.53920000e-01, 5.44870000e-01, 2.96769000e+00,\n", - " 1.63461000e+00, 3.38560000e-01, 5.34290000e-01, 7.08860000e-01,\n", - " 7.93500000e-02, 3.59720000e-01, 4.54940000e-01, 1.90440000e-01,\n", - " 2.64500000e-02, 2.85660000e-01, 1.37540000e-01, 1.32250000e-01,\n", - " 3.01530000e-01, 3.75590000e-01, 5.55450000e-01, 1.48120000e-01,\n", - " 1.58700000e-02, 2.01020000e-01, 2.55507000e+00, 1.42830000e-01,\n", - " 1.24844000e+00, 1.26960000e-01, 4.54940000e-01, 2.59210000e+00,\n", - " 4.06801000e+00, 9.09880000e-01, 1.73512000e+00, 2.01020000e-01,\n", - " 1.85150000e-01, 1.32250000e-01, 9.68070000e-01, 1.58700000e-01,\n", - " 1.69280000e-01, 9.52200000e-02, 2.64500000e-01, 2.53920000e-01,\n", - " 2.69790000e+00, 7.77630000e-01, 3.06820000e-01, 5.29000000e-03,\n", - " 2.59210000e-01, 9.78650000e-01, 1.12677000e+00, 1.05800000e+00,\n", - " 1.00510000e-01, 3.91460000e-01, 7.40600000e-01, 1.32250000e-01,\n", - " 3.33270000e-01, 2.01020000e-01, 8.99300000e-02, 1.48120000e-01,\n", - " 3.22690000e-01, 2.48630000e-01, 2.16890000e-01, 4.23200000e-02,\n", - " 1.59229000e+00, 2.02607000e+00, 7.93500000e-02, 8.46400000e-02,\n", - " 1.85150000e-01, 5.91422000e+00, 3.20045000e+00, 6.87700000e-02,\n", - " 2.25883000e+00, 1.17438000e+00, 5.29000000e-03, 2.27470000e-01,\n", - " 1.26960000e-01, 1.07916000e+00, 1.58700000e+00, 2.17948000e+00,\n", - " 1.48120000e-01, 4.23729000e+00, 7.24730000e-01, 3.06820000e+00,\n", - " 3.96750000e-01, 5.55450000e-01, 2.36463000e+00, 1.78802000e+00,\n", - " 7.35310000e-01, 8.41110000e-01, 0.00000000e+00, 5.29000000e-01,\n", - " 4.70810000e-01, 6.34800000e-02, 3.17400000e-02, 5.81900000e-02,\n", - " 8.99300000e-02, 1.69280000e-01, 3.49140000e-01, 2.38050000e-01,\n", - " 2.01020000e-01, 9.46910000e-01, 1.03155000e+00, 2.11600000e-02,\n", - " 2.06310000e-01, 2.85660000e-01, 1.26960000e-01, 1.95730000e-01,\n", - " 1.05800000e-01, 3.43850000e-01, 8.83430000e-01, 1.26960000e-01,\n", - " 1.00510000e-01, 5.79784000e+00, 2.27470000e-01, 1.95730000e-01,\n", - " 1.69280000e-01, 1.08445000e+00, 2.48630000e-01, 8.99300000e-02,\n", - " 7.61760000e-01, 2.01020000e-01, 1.40185000e+00, 3.70300000e-01,\n", - " 3.16871000e+00, 2.29057000e+00, 2.16890000e+00, 1.95730000e-01,\n", - " 2.11600000e-02, 2.48630000e-01, 5.81900000e-02, 1.42830000e-01,\n", - " 2.94124000e+00, 1.53410000e-01, 1.58700000e-02, 8.46400000e-02,\n", - " 1.96788000e+00, 4.97260000e-01, 1.16380000e-01, 4.02040000e-01,\n", - " 1.94672000e+00, 3.53372000e+00, 6.47496000e+00, 7.51180000e-01,\n", - " 3.40676000e+00, 4.57585000e+00, 3.96750000e-01, 2.06310000e-01,\n", - " 5.55450000e-01, 7.76572000e+00, 4.14736000e+00, 2.11600000e-02,\n", - " 2.38050000e-01, 3.49140000e-01, 1.48120000e-01, 6.77120000e-01,\n", - " 3.06820000e-01, 5.29000000e-01, 5.87190000e-01, 3.12639000e+00,\n", - " 7.35310000e-01, 4.23200000e-02, 8.88720000e-01, 1.40185000e+00,\n", - " 8.41110000e-01, 7.35310000e-01, 4.76100000e-02, 4.07330000e-01,\n", - " 2.48630000e-01, 8.99300000e-02, 4.76100000e-02, 3.90931000e+00,\n", - " 2.85660000e-01, 1.11090000e-01, 3.70300000e-01, 7.08860000e-01,\n", - " 4.18439000e+00, 2.33818000e+00, 3.65010000e-01, 5.07840000e-01,\n", - " 2.05252000e+00, 2.90950000e-01, 4.97260000e-01, 1.58700000e+00,\n", - " 1.34366000e+00, 1.95730000e-01, 2.43869000e+00, 2.22180000e-01,\n", - " 4.85622000e+00, 2.59210000e-01, 7.77630000e-01, 3.70300000e-02,\n", - " 2.64500000e-02, 6.87700000e-02, 4.02040000e-01, 2.69790000e-01,\n", - " 4.33780000e-01, 2.38050000e-01, 1.85150000e-01, 2.27470000e-01,\n", - " 7.98790000e-01, 2.75080000e-01, 1.11090000e-01, 1.05800000e+00,\n", - " 8.99300000e-02, 3.39618000e+00, 8.19950000e-01, 8.35820000e-01,\n", - " 1.95730000e-01, 3.06820000e-01, 1.16380000e-01, 3.77706000e+00,\n", - " 1.48120000e-01, 6.87700000e-02, 7.88210000e-01, 7.00396000e+00,\n", - " 1.05800000e-01, 1.69280000e-01, 2.11600000e-02, 3.23748000e+00,\n", - " 5.29000000e-02, 7.30020000e-01, 1.05800000e-01, 2.91479000e+00,\n", - " 1.18496000e+00, 4.76100000e-02, 1.05800000e-02, 1.95730000e+00,\n", - " 3.70300000e-02, 3.22690000e-01, 1.07916000e+00, 2.85660000e-01,\n", - " 1.30663000e+00, 4.39070000e-01, 9.31040000e-01, 1.48120000e-01,\n", - " 2.75080000e-01, 4.76100000e-02, 4.02569000e+00, 4.12620000e+00,\n", - " 8.94010000e-01, 2.19535000e+00, 4.50708000e+00, 1.74570000e-01,\n", - " 2.64500000e-02, 8.99300000e-02, 1.85150000e-01, 2.38050000e-01,\n", - " 7.93500000e-02, 3.17400000e-02, 1.74570000e-01, 4.23200000e-01,\n", - " 5.87190000e-01, 1.74570000e-01, 9.52200000e-02, 8.99300000e-02,\n", - " 1.21670000e-01, 1.58700000e-02, 3.91460000e-01, 2.01020000e-01,\n", - " 9.52200000e-02, 4.91970000e-01, 4.23200000e-02, 7.56470000e-01,\n", - " 1.29076000e+00, 4.70810000e-01, 1.22728000e+00, 2.22709000e+00,\n", - " 7.03570000e-01, 3.38560000e+00, 3.70300000e-01, 6.50670000e-01,\n", - " 1.26960000e+00, 5.13130000e-01, 2.43340000e-01, 3.06820000e-01,\n", - " 1.37540000e-01, 1.74570000e-01, 5.29000000e-03, 1.95730000e-01,\n", - " 8.99300000e-02, 4.76100000e-02, 2.16890000e-01, 9.89230000e-01,\n", - " 2.32760000e-01, 1.90440000e-01, 7.93500000e-02, 3.43850000e-01,\n", - " 2.26412000e+00, 9.57490000e-01, 2.59210000e-01, 6.29510000e-01,\n", - " 1.85150000e-01, 4.65520000e+00, 3.27980000e-01, 1.58171000e+00,\n", - " 3.17400000e-01, 4.02040000e-01, 1.63990000e-01, 4.65520000e-01,\n", - " 2.43340000e-01, 1.74570000e-01, 5.92480000e-01, 3.17400000e-02,\n", - " 9.52200000e-02, 2.48630000e-01, 1.85150000e-01, 2.43340000e-01,\n", - " 6.87700000e-02, 3.54430000e-01, 2.11600000e+00, 6.08350000e-01,\n", - " 9.57490000e-01, 5.76610000e-01, 3.33270000e-01, 7.30020000e-01,\n", - " 2.43869000e+00, 1.85679000e+00, 1.37540000e-01, 5.50160000e-01,\n", - " 2.80370000e-01, 3.65010000e-01, 8.25240000e-01, 1.57113000e+00,\n", - " 1.58700000e-02, 2.64500000e-02, 1.86737000e+00, 1.92556000e+00,\n", - " 2.96240000e-01, 3.70300000e-02, 2.06310000e-01, 1.37540000e-01,\n", - " 1.58700000e-02, 3.70300000e-02, 1.58700000e-01, 1.85150000e-01,\n", - " 2.10013000e+00, 1.01568000e+00, 1.11090000e-01, 3.12110000e-01,\n", - " 2.17948000e+00, 1.26960000e-01, 3.95692000e+00, 1.90440000e-01,\n", - " 2.85131000e+00, 2.59210000e-01, 1.12677000e+00, 2.11600000e-02,\n", - " 6.87700000e-02, 1.79860000e-01, 7.40600000e-02, 1.20083000e+00,\n", - " 7.30020000e-01, 5.76610000e-01, 8.46400000e-02, 2.27470000e-01,\n", - " 1.58700000e-02, 9.73360000e-01, 2.69790000e-01, 3.17400000e-02,\n", - " 4.44360000e-01, 1.54997000e+00, 5.50160000e-01, 5.29000000e-03,\n", - " 2.29586000e+00, 1.58700000e-01, 1.61874000e+00, 2.64500000e-02,\n", - " 1.58700000e-02, 2.06310000e-01, 9.62780000e-01, 1.48120000e-01,\n", - " 4.02040000e-01, 9.36330000e-01, 4.76100000e-02, 6.34800000e-02,\n", - " 3.34328000e+00, 2.11600000e-02, 2.11600000e-02, 1.69280000e-01,\n", - " 1.95730000e-01, 1.69280000e-01, 5.81900000e-02, 2.85660000e-01,\n", - " 2.43340000e-01, 3.38560000e-01, 2.53920000e-01, 7.30020000e-01,\n", - " 1.31721000e+00, 1.00510000e-01, 5.29000000e-02, 1.37540000e-01,\n", - " 2.27470000e-01, 2.32760000e-01, 7.61760000e-01, 8.99300000e-02,\n", - " 4.76100000e-02, 2.59210000e-01, 1.34895000e+00, 4.39070000e-01,\n", - " 2.48630000e-01, 9.37388000e+00, 1.05800000e-02, 1.16380000e-01,\n", - " 1.11090000e-01, 3.17400000e-02, 3.70300000e-02, 4.76100000e-02,\n", - " 4.23200000e-02, 3.06820000e-01, 7.40600000e-02, 9.83940000e-01,\n", - " 5.08898000e+00, 2.90950000e-01, 1.00510000e-01, 3.43850000e-01,\n", - " 1.83563000e+00, 1.42830000e-01, 8.99300000e-02, 3.96750000e-01,\n", - " 7.93500000e-02, 4.60230000e-01, 7.82920000e-01, 6.40090000e-01,\n", - " 5.81900000e-02, 2.96240000e-01, 2.06310000e-01, 1.53410000e-01,\n", - " 2.48630000e-01, 1.38598000e+00, 2.96240000e-01, 4.81390000e-01,\n", - " 7.82920000e-01, 9.52200000e-01, 7.40600000e-02, 2.11600000e-01,\n", - " 8.78140000e-01, 8.04080000e-01, 2.86718000e+00, 6.87700000e-02,\n", - " 1.05271000e+00, 1.26960000e-01, 3.12110000e-01, 4.39070000e-01,\n", - " 1.05800000e-01, 4.39070000e-01, 1.58700000e-01, 1.32250000e-01,\n", - " 3.70300000e-01, 4.17910000e-01, 9.52200000e-02, 4.23200000e-02,\n", - " 3.38560000e-01, 5.97770000e-01, 3.75590000e-01, 2.48630000e-01,\n", - " 1.42830000e-01, 1.58700000e-02, 6.03060000e-01, 1.69809000e+00,\n", - " 2.27470000e-01, 1.16380000e-01, 5.29000000e-03, 3.49140000e-01,\n", - " 2.48630000e-01, 7.93500000e-02, 9.52200000e-02, 4.17910000e-01,\n", - " 1.26960000e-01, 2.70848000e+00, 2.48630000e-01, 9.52200000e-02,\n", - " 0.00000000e+00, 5.39580000e-01, 1.26960000e-01, 1.69280000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.59927878e+03, -2.52731782e+03, -3.90035579e+01, 4.32074866e+01,\n", - " 0.00000000e+00, 1.11390332e+01, -1.11449902e+02, 0.00000000e+00,\n", - " 0.00000000e+00, -7.38915515e+01, 1.00708782e+02, 4.21844881e+02,\n", - " 0.00000000e+00, 2.62479509e+03, -2.84354204e+03]), array([ 6.09700000e-01, 2.84830000e+00, 5.56010000e+00, 3.94030000e+00,\n", - " 2.09300000e-01, 3.82200000e-01, 2.54800000e-01, 5.36900000e-01,\n", - " 8.82700000e-01, 1.36500000e-01, 5.36900000e-01, 4.27700000e-01,\n", - " 9.57320000e+00, 3.64000000e-02, 1.27400000e-01, 8.19000000e-02,\n", - " 4.77750000e+00, 3.43980000e+00, 5.18700000e-01, 8.09900000e-01,\n", - " 1.91100000e-01, 1.00100000e-01, 5.46000000e-02, 0.00000000e+00,\n", - " 1.82000000e-01, 6.00600000e-01, 4.55000000e-02, 3.50350000e+00,\n", - " 6.82500000e-01, 2.81190000e+00, 1.49240000e+00, 1.13750000e+00,\n", - " 1.25580000e+00, 5.46000000e-02, 0.00000000e+00, 6.37000000e-02,\n", - " 7.09800000e-01, 3.27600000e-01, 1.63800000e-01, 1.18300000e-01,\n", - " 4.09500000e-01, 3.82200000e-01, 1.02830000e+00, 2.16580000e+00,\n", - " 3.45800000e-01, 3.59450000e+00, 1.13750000e+00, 4.57730000e+00,\n", - " 5.73300000e-01, 1.59978000e+01, 1.00100000e-01, 1.27400000e-01,\n", - " 4.18600000e-01, 3.00300000e-01, 6.73400000e-01, 1.63800000e-01,\n", - " 6.00600000e-01, 4.78660000e+00, 8.30830000e+00, 2.22950000e+00,\n", - " 1.55610000e+00, 1.36500000e+00, 5.46000000e-01, 2.32960000e+00,\n", - " 2.82100000e-01, 2.27500000e-01, 2.22040000e+00, 1.89280000e+00,\n", - " 9.10000000e-02, 0.00000000e+00, 4.18600000e-01, 4.27700000e-01,\n", - " 3.64000000e-02, 1.00100000e-01, 7.64400000e-01, 1.56520000e+00,\n", - " 9.28200000e-01, 3.00300000e-01, 3.09400000e-01, 2.29320000e+00,\n", - " 5.33260000e+00, 4.74110000e+00, 1.03740000e+00, 1.67440000e+00,\n", - " 1.95650000e+00, 2.18400000e+00, 2.45700000e-01, 5.09600000e-01,\n", - " 9.10000000e-02, 1.09200000e-01, 1.63800000e-01, 0.00000000e+00,\n", - " 4.55000000e-02, 1.27400000e-01, 1.84730000e+00, 4.82300000e-01,\n", - " 5.46000000e-02, 0.00000000e+00, 1.36500000e-01, 1.48330000e+00,\n", - " 1.18300000e+00, 4.22240000e+00, 5.53280000e+00, 1.02830000e+00,\n", - " 1.63800000e-01, 8.19000000e-02, 4.27700000e-01, 8.19000000e-02,\n", - " 2.44790000e+00, 1.90190000e+00, 5.82400000e-01, 4.73200000e-01,\n", - " 4.95950000e+00, 1.00100000e+00, 0.00000000e+00, 2.39330000e+00,\n", - " 1.57430000e+00, 7.77140000e+00, 1.25580000e+00, 3.72190000e+00,\n", - " 7.73500000e-01, 1.05560000e+00, 2.88470000e+00, 4.84120000e+00,\n", - " 4.33160000e+00, 8.67230000e+00, 1.29220000e+00, 5.55100000e-01,\n", - " 3.68550000e+00, 4.56820000e+00, 1.55610000e+00, 8.55400000e-01,\n", - " 1.82000000e-01, 7.28000000e-01, 1.35590000e+00, 9.46400000e-01,\n", - " 8.00800000e-01, 2.36600000e+00, 6.73400000e-01, 2.27500000e-01,\n", - " 4.52270000e+00, 3.84930000e+00, 3.37610000e+00, 3.53080000e+00,\n", - " 5.36900000e-01, 6.09700000e-01, 1.18300000e-01, 3.18500000e-01,\n", - " 6.55200000e-01, 1.25580000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 9.03630000e+00, 1.31404000e+01, 2.85285000e+01, 7.46200000e-01,\n", - " 8.19000000e-01, 4.45900000e-01, 1.00100000e-01, 1.09200000e-01,\n", - " 2.73000000e-01, 2.36600000e-01, 1.46510000e+00, 1.33770000e+00,\n", - " 1.25580000e+00, 3.64000000e-01, 9.42760000e+00, 1.72627000e+01,\n", - " 2.63900000e-01, 2.27500000e-01, 6.09700000e-01, 2.45700000e-01,\n", - " 2.73000000e-01, 6.46100000e-01, 1.21940000e+00, 4.36800000e-01,\n", - " 6.18800000e-01, 6.37000000e-01, 8.19000000e-02, 1.55610000e+00,\n", - " 2.00200000e-01, 4.82300000e-01, 5.73300000e-01, 1.48330000e+00,\n", - " 1.15570000e+00, 1.00100000e-01, 1.71990000e+00, 5.18700000e-01,\n", - " 3.73100000e-01, 4.09500000e-01, 9.64600000e-01, 4.91400000e-01,\n", - " 1.06470000e+00, 5.46000000e-02, 5.00500000e-01, 3.09400000e-01,\n", - " 4.36800000e-01, 1.54700000e-01, 1.78269000e+01, 4.55000000e-01,\n", - " 4.00400000e-01, 1.82000000e+01, 6.55200000e-01, 1.18300000e-01,\n", - " 0.00000000e+00, 1.18300000e-01, 5.46000000e-02, 4.55000000e-01,\n", - " 6.27900000e-01, 1.27400000e-01, 4.82300000e-01, 6.00600000e+00,\n", - " 3.83110000e+00, 4.63190000e+00, 1.61616000e+01, 1.40322000e+01,\n", - " 3.82200000e-01, 2.18400000e-01, 3.67640000e+00, 2.36600000e+00,\n", - " 7.99890000e+00, 5.67840000e+00, 8.19000000e-02, 2.00200000e+00,\n", - " 5.73300000e-01, 8.12630000e+00, 4.55000000e-02, 6.37000000e-02,\n", - " 1.00100000e-01, 4.55000000e-02, 2.86650000e+00, 2.26590000e+00,\n", - " 2.27500000e+00, 7.14350000e+00, 3.73100000e-01, 9.10000000e-02,\n", - " 3.55810000e+00, 1.18300000e-01, 3.73100000e-01, 5.74210000e+00,\n", - " 3.91300000e-01, 3.64000000e-01, 3.45800000e-01, 4.00400000e-01,\n", - " 2.09300000e-01, 4.65010000e+00, 2.63900000e+00, 8.19000000e-01,\n", - " 1.24670000e+00, 4.36800000e-01, 8.19000000e-02, 2.32960000e+00,\n", - " 1.45600000e+00, 3.32150000e+00, 3.27600000e-01, 5.82400000e-01,\n", - " 2.09300000e-01, 3.36700000e-01, 6.82500000e-01, 2.61170000e+00,\n", - " 7.37100000e-01, 2.68450000e+00, 1.02830000e+00, 3.82200000e-01,\n", - " 8.00800000e-01, 1.37410000e+00, 2.29320000e+00, 6.26080000e+00,\n", - " 7.00700000e-01, 3.32150000e+00, 3.09400000e-01, 3.00300000e-01,\n", - " 8.19000000e-01, 1.66530000e+00, 6.37000000e-01, 1.89280000e+00,\n", - " 1.27400000e-01, 4.27700000e-01, 2.36600000e+00, 1.23760000e+00,\n", - " 1.54700000e-01, 2.82100000e-01, 9.91900000e-01, 5.73300000e-01,\n", - " 1.08290000e+00, 7.28000000e-01, 1.00100000e-01, 3.18500000e-01,\n", - " 7.28000000e-02, 9.10000000e-03, 3.69460000e+00, 4.94130000e+00,\n", - " 2.36600000e-01, 1.72900000e-01, 1.09291000e+01, 4.93220000e+00,\n", - " 9.37300000e-01, 3.69460000e+00, 5.73300000e-01, 1.92920000e+00,\n", - " 2.54800000e-01, 2.27500000e-01, 2.57530000e+00, 3.09400000e-01,\n", - " 1.18300000e-01, 1.79270000e+00, 1.01010000e+00, 4.73200000e-01,\n", - " 4.16780000e+00, 1.45600000e-01, 3.36700000e-01, 1.72900000e-01,\n", - " 2.45700000e-01, 9.10000000e-02, 5.68750000e+00, 2.96660000e+00,\n", - " 3.36700000e-01, 1.54700000e-01, 2.42060000e+00, 2.54800000e-01,\n", - " 1.21030000e+00, 9.10000000e-03, 1.11930000e+00, 1.43780000e+00,\n", - " 4.09500000e-01, 1.35590000e+00, 2.27500000e-01, 7.23450000e+00,\n", - " 3.09400000e-01, 3.00300000e-01, 2.82100000e-01, 1.04104000e+01,\n", - " 3.18500000e-01, 7.55300000e-01, 8.19000000e-02, 4.55000000e-02,\n", - " 2.52070000e+00, 9.00900000e-01, 7.28000000e-02, 0.00000000e+00,\n", - " 3.20320000e+00, 1.65620000e+00, 4.76840000e+00, 2.07480000e+00,\n", - " 5.46000000e-02, 3.64000000e-02, 2.73000000e-01, 1.23760000e+00,\n", - " 1.46510000e+00, 2.27500000e-01, 0.00000000e+00, 8.19000000e-02,\n", - " 8.55400000e-01, 1.63800000e-01, 2.91200000e-01, 4.82300000e-01,\n", - " 3.19410000e+00, 2.09300000e+00, 6.37000000e-02, 2.18400000e-01,\n", - " 1.18300000e-01, 9.10000000e-02, 9.10000000e-02, 2.73000000e-01,\n", - " 2.73000000e-01, 3.50350000e+00, 3.33970000e+00, 2.54800000e-01,\n", - " 3.54900000e-01, 1.36500000e-01, 1.00100000e-01, 3.00300000e-01,\n", - " 9.10000000e-02, 9.10000000e-02, 6.18800000e-01, 4.73200000e-01,\n", - " 6.46100000e-01, 8.09900000e-01, 6.90690000e+00, 1.41960000e+00,\n", - " 1.25580000e+00, 1.31040000e+00, 2.44790000e+00, 1.82000000e-01,\n", - " 1.18300000e+00, 3.37610000e+00, 2.36600000e-01, 9.60960000e+00,\n", - " 7.19810000e+00, 4.41350000e+00, 4.91400000e-01, 1.36500000e-01,\n", - " 8.05350000e+00, 2.03840000e+00, 3.39430000e+00, 7.46200000e-01,\n", - " 1.72900000e-01, 2.78460000e+00, 2.23860000e+00, 9.10000000e-02,\n", - " 3.64000000e-02, 2.73000000e-02, 8.19000000e-01, 3.64000000e-02,\n", - " 3.79470000e+00, 8.13540000e+00, 3.64000000e-01, 7.46200000e-01,\n", - " 1.67440000e+00, 4.55000000e-02, 2.09300000e-01, 2.45700000e+00,\n", - " 2.63900000e-01, 4.36800000e-01, 9.37300000e-01, 5.10510000e+00,\n", - " 2.81190000e+00, 5.82400000e-01, 9.19100000e-01, 1.21940000e+00,\n", - " 1.36500000e-01, 6.18800000e-01, 7.82600000e-01, 3.27600000e-01,\n", - " 4.55000000e-02, 4.91400000e-01, 2.36600000e-01, 2.27500000e-01,\n", - " 5.18700000e-01, 6.46100000e-01, 9.55500000e-01, 2.54800000e-01,\n", - " 2.73000000e-02, 3.45800000e-01, 4.39530000e+00, 2.45700000e-01,\n", - " 2.14760000e+00, 2.18400000e-01, 7.82600000e-01, 4.45900000e+00,\n", - " 6.99790000e+00, 1.56520000e+00, 2.98480000e+00, 3.45800000e-01,\n", - " 3.18500000e-01, 2.27500000e-01, 1.66530000e+00, 2.73000000e-01,\n", - " 2.91200000e-01, 1.63800000e-01, 4.55000000e-01, 4.36800000e-01,\n", - " 4.64100000e+00, 1.33770000e+00, 5.27800000e-01, 9.10000000e-03,\n", - " 4.45900000e-01, 1.68350000e+00, 1.93830000e+00, 1.82000000e+00,\n", - " 1.72900000e-01, 6.73400000e-01, 1.27400000e+00, 2.27500000e-01,\n", - " 5.73300000e-01, 3.45800000e-01, 1.54700000e-01, 2.54800000e-01,\n", - " 5.55100000e-01, 4.27700000e-01, 3.73100000e-01, 7.28000000e-02,\n", - " 2.73910000e+00, 3.48530000e+00, 1.36500000e-01, 1.45600000e-01,\n", - " 3.18500000e-01, 1.01738000e+01, 5.50550000e+00, 1.18300000e-01,\n", - " 3.88570000e+00, 2.02020000e+00, 9.10000000e-03, 3.91300000e-01,\n", - " 2.18400000e-01, 1.85640000e+00, 2.73000000e+00, 3.74920000e+00,\n", - " 2.54800000e-01, 7.28910000e+00, 1.24670000e+00, 5.27800000e+00,\n", - " 6.82500000e-01, 9.55500000e-01, 4.06770000e+00, 3.07580000e+00,\n", - " 1.26490000e+00, 1.44690000e+00, 0.00000000e+00, 9.10000000e-01,\n", - " 8.09900000e-01, 1.09200000e-01, 5.46000000e-02, 1.00100000e-01,\n", - " 1.54700000e-01, 2.91200000e-01, 6.00600000e-01, 4.09500000e-01,\n", - " 3.45800000e-01, 1.62890000e+00, 1.77450000e+00, 3.64000000e-02,\n", - " 3.54900000e-01, 4.91400000e-01, 2.18400000e-01, 3.36700000e-01,\n", - " 1.82000000e-01, 5.91500000e-01, 1.51970000e+00, 2.18400000e-01,\n", - " 1.72900000e-01, 9.97360000e+00, 3.91300000e-01, 3.36700000e-01,\n", - " 2.91200000e-01, 1.86550000e+00, 4.27700000e-01, 1.54700000e-01,\n", - " 1.31040000e+00, 3.45800000e-01, 2.41150000e+00, 6.37000000e-01,\n", - " 5.45090000e+00, 3.94030000e+00, 3.73100000e+00, 3.36700000e-01,\n", - " 3.64000000e-02, 4.27700000e-01, 1.00100000e-01, 2.45700000e-01,\n", - " 5.05960000e+00, 2.63900000e-01, 2.73000000e-02, 1.45600000e-01,\n", - " 3.38520000e+00, 8.55400000e-01, 2.00200000e-01, 6.91600000e-01,\n", - " 3.34880000e+00, 6.07880000e+00, 1.11384000e+01, 1.29220000e+00,\n", - " 5.86040000e+00, 7.87150000e+00, 6.82500000e-01, 3.54900000e-01,\n", - " 9.55500000e-01, 1.33588000e+01, 7.13440000e+00, 3.64000000e-02,\n", - " 4.09500000e-01, 6.00600000e-01, 2.54800000e-01, 1.16480000e+00,\n", - " 5.27800000e-01, 9.10000000e-01, 1.01010000e+00, 5.37810000e+00,\n", - " 1.26490000e+00, 7.28000000e-02, 1.52880000e+00, 2.41150000e+00,\n", - " 1.44690000e+00, 1.26490000e+00, 8.19000000e-02, 7.00700000e-01,\n", - " 4.27700000e-01, 1.54700000e-01, 8.19000000e-02, 6.72490000e+00,\n", - " 4.91400000e-01, 1.91100000e-01, 6.37000000e-01, 1.21940000e+00,\n", - " 7.19810000e+00, 4.02220000e+00, 6.27900000e-01, 8.73600000e-01,\n", - " 3.53080000e+00, 5.00500000e-01, 8.55400000e-01, 2.73000000e+00,\n", - " 2.31140000e+00, 3.36700000e-01, 4.19510000e+00, 3.82200000e-01,\n", - " 8.35380000e+00, 4.45900000e-01, 1.33770000e+00, 6.37000000e-02,\n", - " 4.55000000e-02, 1.18300000e-01, 6.91600000e-01, 4.64100000e-01,\n", - " 7.46200000e-01, 4.09500000e-01, 3.18500000e-01, 3.91300000e-01,\n", - " 1.37410000e+00, 4.73200000e-01, 1.91100000e-01, 1.82000000e+00,\n", - " 1.54700000e-01, 5.84220000e+00, 1.41050000e+00, 1.43780000e+00,\n", - " 3.36700000e-01, 5.27800000e-01, 2.00200000e-01, 6.49740000e+00,\n", - " 2.54800000e-01, 1.18300000e-01, 1.35590000e+00, 1.20484000e+01,\n", - " 1.82000000e-01, 2.91200000e-01, 3.64000000e-02, 5.56920000e+00,\n", - " 9.10000000e-02, 1.25580000e+00, 1.82000000e-01, 5.01410000e+00,\n", - " 2.03840000e+00, 8.19000000e-02, 1.82000000e-02, 3.36700000e+00,\n", - " 6.37000000e-02, 5.55100000e-01, 1.85640000e+00, 4.91400000e-01,\n", - " 2.24770000e+00, 7.55300000e-01, 1.60160000e+00, 2.54800000e-01,\n", - " 4.73200000e-01, 8.19000000e-02, 6.92510000e+00, 7.09800000e+00,\n", - " 1.53790000e+00, 3.77650000e+00, 7.75320000e+00, 3.00300000e-01,\n", - " 4.55000000e-02, 1.54700000e-01, 3.18500000e-01, 4.09500000e-01,\n", - " 1.36500000e-01, 5.46000000e-02, 3.00300000e-01, 7.28000000e-01,\n", - " 1.01010000e+00, 3.00300000e-01, 1.63800000e-01, 1.54700000e-01,\n", - " 2.09300000e-01, 2.73000000e-02, 6.73400000e-01, 3.45800000e-01,\n", - " 1.63800000e-01, 8.46300000e-01, 7.28000000e-02, 1.30130000e+00,\n", - " 2.22040000e+00, 8.09900000e-01, 2.11120000e+00, 3.83110000e+00,\n", - " 1.21030000e+00, 5.82400000e+00, 6.37000000e-01, 1.11930000e+00,\n", - " 2.18400000e+00, 8.82700000e-01, 4.18600000e-01, 5.27800000e-01,\n", - " 2.36600000e-01, 3.00300000e-01, 9.10000000e-03, 3.36700000e-01,\n", - " 1.54700000e-01, 8.19000000e-02, 3.73100000e-01, 1.70170000e+00,\n", - " 4.00400000e-01, 3.27600000e-01, 1.36500000e-01, 5.91500000e-01,\n", - " 3.89480000e+00, 1.64710000e+00, 4.45900000e-01, 1.08290000e+00,\n", - " 3.18500000e-01, 8.00800000e+00, 5.64200000e-01, 2.72090000e+00,\n", - " 5.46000000e-01, 6.91600000e-01, 2.82100000e-01, 8.00800000e-01,\n", - " 4.18600000e-01, 3.00300000e-01, 1.01920000e+00, 5.46000000e-02,\n", - " 1.63800000e-01, 4.27700000e-01, 3.18500000e-01, 4.18600000e-01,\n", - " 1.18300000e-01, 6.09700000e-01, 3.64000000e+00, 1.04650000e+00,\n", - " 1.64710000e+00, 9.91900000e-01, 5.73300000e-01, 1.25580000e+00,\n", - " 4.19510000e+00, 3.19410000e+00, 2.36600000e-01, 9.46400000e-01,\n", - " 4.82300000e-01, 6.27900000e-01, 1.41960000e+00, 2.70270000e+00,\n", - " 2.73000000e-02, 4.55000000e-02, 3.21230000e+00, 3.31240000e+00,\n", - " 5.09600000e-01, 6.37000000e-02, 3.54900000e-01, 2.36600000e-01,\n", - " 2.73000000e-02, 6.37000000e-02, 2.73000000e-01, 3.18500000e-01,\n", - " 3.61270000e+00, 1.74720000e+00, 1.91100000e-01, 5.36900000e-01,\n", - " 3.74920000e+00, 2.18400000e-01, 6.80680000e+00, 3.27600000e-01,\n", - " 4.90490000e+00, 4.45900000e-01, 1.93830000e+00, 3.64000000e-02,\n", - " 1.18300000e-01, 3.09400000e-01, 1.27400000e-01, 2.06570000e+00,\n", - " 1.25580000e+00, 9.91900000e-01, 1.45600000e-01, 3.91300000e-01,\n", - " 2.73000000e-02, 1.67440000e+00, 4.64100000e-01, 5.46000000e-02,\n", - " 7.64400000e-01, 2.66630000e+00, 9.46400000e-01, 9.10000000e-03,\n", - " 3.94940000e+00, 2.73000000e-01, 2.78460000e+00, 4.55000000e-02,\n", - " 2.73000000e-02, 3.54900000e-01, 1.65620000e+00, 2.54800000e-01,\n", - " 6.91600000e-01, 1.61070000e+00, 8.19000000e-02, 1.09200000e-01,\n", - " 5.75120000e+00, 3.64000000e-02, 3.64000000e-02, 2.91200000e-01,\n", - " 3.36700000e-01, 2.91200000e-01, 1.00100000e-01, 4.91400000e-01,\n", - " 4.18600000e-01, 5.82400000e-01, 4.36800000e-01, 1.25580000e+00,\n", - " 2.26590000e+00, 1.72900000e-01, 9.10000000e-02, 2.36600000e-01,\n", - " 3.91300000e-01, 4.00400000e-01, 1.31040000e+00, 1.54700000e-01,\n", - " 8.19000000e-02, 4.45900000e-01, 2.32050000e+00, 7.55300000e-01,\n", - " 4.27700000e-01, 1.61252000e+01, 1.82000000e-02, 2.00200000e-01,\n", - " 1.91100000e-01, 5.46000000e-02, 6.37000000e-02, 8.19000000e-02,\n", - " 7.28000000e-02, 5.27800000e-01, 1.27400000e-01, 1.69260000e+00,\n", - " 8.75420000e+00, 5.00500000e-01, 1.72900000e-01, 5.91500000e-01,\n", - " 3.15770000e+00, 2.45700000e-01, 1.54700000e-01, 6.82500000e-01,\n", - " 1.36500000e-01, 7.91700000e-01, 1.34680000e+00, 1.10110000e+00,\n", - " 1.00100000e-01, 5.09600000e-01, 3.54900000e-01, 2.63900000e-01,\n", - " 4.27700000e-01, 2.38420000e+00, 5.09600000e-01, 8.28100000e-01,\n", - " 1.34680000e+00, 1.63800000e+00, 1.27400000e-01, 3.64000000e-01,\n", - " 1.51060000e+00, 1.38320000e+00, 4.93220000e+00, 1.18300000e-01,\n", - " 1.81090000e+00, 2.18400000e-01, 5.36900000e-01, 7.55300000e-01,\n", - " 1.82000000e-01, 7.55300000e-01, 2.73000000e-01, 2.27500000e-01,\n", - " 6.37000000e-01, 7.18900000e-01, 1.63800000e-01, 7.28000000e-02,\n", - " 5.82400000e-01, 1.02830000e+00, 6.46100000e-01, 4.27700000e-01,\n", - " 2.45700000e-01, 2.73000000e-02, 1.03740000e+00, 2.92110000e+00,\n", - " 3.91300000e-01, 2.00200000e-01, 9.10000000e-03, 6.00600000e-01,\n", - " 4.27700000e-01, 1.36500000e-01, 1.63800000e-01, 7.18900000e-01,\n", - " 2.18400000e-01, 4.65920000e+00, 4.27700000e-01, 1.63800000e-01,\n", - " 0.00000000e+00, 9.28200000e-01, 2.18400000e-01, 2.91200000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.59424036e+03, -2.52731782e+03, -6.70947072e+01, 1.22894321e+00,\n", - " 0.00000000e+00, -4.01222092e+01, -1.91719039e+02, 0.00000000e+00,\n", - " 0.00000000e+00, -1.27109637e+02, 2.79423420e+01, 2.18341682e+02,\n", - " 0.00000000e+00, 2.04672838e+03, -2.30137443e+03]), array([ 6.09700000e-01, 2.84830000e+00, 5.56010000e+00, 3.94030000e+00,\n", - " 2.09300000e-01, 3.82200000e-01, 2.54800000e-01, 5.36900000e-01,\n", - " 8.82700000e-01, 1.36500000e-01, 5.36900000e-01, 4.27700000e-01,\n", - " 9.57320000e+00, 3.64000000e-02, 1.27400000e-01, 8.19000000e-02,\n", - " 4.77750000e+00, 3.43980000e+00, 5.18700000e-01, 8.09900000e-01,\n", - " 1.91100000e-01, 1.00100000e-01, 5.46000000e-02, 0.00000000e+00,\n", - " 1.82000000e-01, 6.00600000e-01, 4.55000000e-02, 3.50350000e+00,\n", - " 6.82500000e-01, 2.81190000e+00, 1.49240000e+00, 1.13750000e+00,\n", - " 1.25580000e+00, 5.46000000e-02, 0.00000000e+00, 6.37000000e-02,\n", - " 7.09800000e-01, 3.27600000e-01, 1.63800000e-01, 1.18300000e-01,\n", - " 4.09500000e-01, 3.82200000e-01, 1.02830000e+00, 2.16580000e+00,\n", - " 3.45800000e-01, 3.59450000e+00, 1.13750000e+00, 4.57730000e+00,\n", - " 5.73300000e-01, 1.59978000e+01, 1.00100000e-01, 1.27400000e-01,\n", - " 4.18600000e-01, 3.00300000e-01, 6.73400000e-01, 1.63800000e-01,\n", - " 6.00600000e-01, 4.78660000e+00, 8.30830000e+00, 2.22950000e+00,\n", - " 1.55610000e+00, 1.36500000e+00, 5.46000000e-01, 2.32960000e+00,\n", - " 2.82100000e-01, 2.27500000e-01, 2.22040000e+00, 1.89280000e+00,\n", - " 9.10000000e-02, 0.00000000e+00, 4.18600000e-01, 4.27700000e-01,\n", - " 3.64000000e-02, 1.00100000e-01, 7.64400000e-01, 1.56520000e+00,\n", - " 9.28200000e-01, 3.00300000e-01, 3.09400000e-01, 2.29320000e+00,\n", - " 5.33260000e+00, 4.74110000e+00, 1.03740000e+00, 1.67440000e+00,\n", - " 1.95650000e+00, 2.18400000e+00, 2.45700000e-01, 5.09600000e-01,\n", - " 9.10000000e-02, 1.09200000e-01, 1.63800000e-01, 0.00000000e+00,\n", - " 4.55000000e-02, 1.27400000e-01, 1.84730000e+00, 4.82300000e-01,\n", - " 5.46000000e-02, 0.00000000e+00, 1.36500000e-01, 1.48330000e+00,\n", - " 1.18300000e+00, 4.22240000e+00, 5.53280000e+00, 1.02830000e+00,\n", - " 1.63800000e-01, 8.19000000e-02, 4.27700000e-01, 8.19000000e-02,\n", - " 2.44790000e+00, 1.90190000e+00, 5.82400000e-01, 4.73200000e-01,\n", - " 4.95950000e+00, 1.00100000e+00, 0.00000000e+00, 2.39330000e+00,\n", - " 1.57430000e+00, 7.77140000e+00, 1.25580000e+00, 3.72190000e+00,\n", - " 7.73500000e-01, 1.05560000e+00, 2.88470000e+00, 4.84120000e+00,\n", - " 4.33160000e+00, 8.67230000e+00, 1.29220000e+00, 5.55100000e-01,\n", - " 3.68550000e+00, 4.56820000e+00, 1.55610000e+00, 8.55400000e-01,\n", - " 1.82000000e-01, 7.28000000e-01, 1.35590000e+00, 9.46400000e-01,\n", - " 8.00800000e-01, 2.36600000e+00, 6.73400000e-01, 2.27500000e-01,\n", - " 4.52270000e+00, 3.84930000e+00, 3.37610000e+00, 3.53080000e+00,\n", - " 5.36900000e-01, 6.09700000e-01, 1.18300000e-01, 3.18500000e-01,\n", - " 6.55200000e-01, 1.25580000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 9.03630000e+00, 1.31404000e+01, 2.85285000e+01, 7.46200000e-01,\n", - " 8.19000000e-01, 4.45900000e-01, 1.00100000e-01, 1.09200000e-01,\n", - " 2.73000000e-01, 2.36600000e-01, 1.46510000e+00, 1.33770000e+00,\n", - " 1.25580000e+00, 3.64000000e-01, 9.42760000e+00, 1.72627000e+01,\n", - " 2.63900000e-01, 2.27500000e-01, 6.09700000e-01, 2.45700000e-01,\n", - " 2.73000000e-01, 6.46100000e-01, 1.21940000e+00, 4.36800000e-01,\n", - " 6.18800000e-01, 6.37000000e-01, 8.19000000e-02, 1.55610000e+00,\n", - " 2.00200000e-01, 4.82300000e-01, 5.73300000e-01, 1.48330000e+00,\n", - " 1.15570000e+00, 1.00100000e-01, 1.71990000e+00, 5.18700000e-01,\n", - " 3.73100000e-01, 4.09500000e-01, 9.64600000e-01, 4.91400000e-01,\n", - " 1.06470000e+00, 5.46000000e-02, 5.00500000e-01, 3.09400000e-01,\n", - " 4.36800000e-01, 1.54700000e-01, 1.78269000e+01, 4.55000000e-01,\n", - " 4.00400000e-01, 1.82000000e+01, 6.55200000e-01, 1.18300000e-01,\n", - " 0.00000000e+00, 1.18300000e-01, 5.46000000e-02, 4.55000000e-01,\n", - " 6.27900000e-01, 1.27400000e-01, 4.82300000e-01, 6.00600000e+00,\n", - " 3.83110000e+00, 4.63190000e+00, 1.61616000e+01, 1.40322000e+01,\n", - " 3.82200000e-01, 2.18400000e-01, 3.67640000e+00, 2.36600000e+00,\n", - " 7.99890000e+00, 5.67840000e+00, 8.19000000e-02, 2.00200000e+00,\n", - " 5.73300000e-01, 8.12630000e+00, 4.55000000e-02, 6.37000000e-02,\n", - " 1.00100000e-01, 4.55000000e-02, 2.86650000e+00, 2.26590000e+00,\n", - " 2.27500000e+00, 7.14350000e+00, 3.73100000e-01, 9.10000000e-02,\n", - " 3.55810000e+00, 1.18300000e-01, 3.73100000e-01, 5.74210000e+00,\n", - " 3.91300000e-01, 3.64000000e-01, 3.45800000e-01, 4.00400000e-01,\n", - " 2.09300000e-01, 4.65010000e+00, 2.63900000e+00, 8.19000000e-01,\n", - " 1.24670000e+00, 4.36800000e-01, 8.19000000e-02, 2.32960000e+00,\n", - " 1.45600000e+00, 3.32150000e+00, 3.27600000e-01, 5.82400000e-01,\n", - " 2.09300000e-01, 3.36700000e-01, 6.82500000e-01, 2.61170000e+00,\n", - " 7.37100000e-01, 2.68450000e+00, 1.02830000e+00, 3.82200000e-01,\n", - " 8.00800000e-01, 1.37410000e+00, 2.29320000e+00, 6.26080000e+00,\n", - " 7.00700000e-01, 3.32150000e+00, 3.09400000e-01, 3.00300000e-01,\n", - " 8.19000000e-01, 1.66530000e+00, 6.37000000e-01, 1.89280000e+00,\n", - " 1.27400000e-01, 4.27700000e-01, 2.36600000e+00, 1.23760000e+00,\n", - " 1.54700000e-01, 2.82100000e-01, 9.91900000e-01, 5.73300000e-01,\n", - " 1.08290000e+00, 7.28000000e-01, 1.00100000e-01, 3.18500000e-01,\n", - " 7.28000000e-02, 9.10000000e-03, 3.69460000e+00, 4.94130000e+00,\n", - " 2.36600000e-01, 1.72900000e-01, 1.09291000e+01, 4.93220000e+00,\n", - " 9.37300000e-01, 3.69460000e+00, 5.73300000e-01, 1.92920000e+00,\n", - " 2.54800000e-01, 2.27500000e-01, 2.57530000e+00, 3.09400000e-01,\n", - " 1.18300000e-01, 1.79270000e+00, 1.01010000e+00, 4.73200000e-01,\n", - " 4.16780000e+00, 1.45600000e-01, 3.36700000e-01, 1.72900000e-01,\n", - " 2.45700000e-01, 9.10000000e-02, 5.68750000e+00, 2.96660000e+00,\n", - " 3.36700000e-01, 1.54700000e-01, 2.42060000e+00, 2.54800000e-01,\n", - " 1.21030000e+00, 9.10000000e-03, 1.11930000e+00, 1.43780000e+00,\n", - " 4.09500000e-01, 1.35590000e+00, 2.27500000e-01, 7.23450000e+00,\n", - " 3.09400000e-01, 3.00300000e-01, 2.82100000e-01, 1.04104000e+01,\n", - " 3.18500000e-01, 7.55300000e-01, 8.19000000e-02, 4.55000000e-02,\n", - " 2.52070000e+00, 9.00900000e-01, 7.28000000e-02, 0.00000000e+00,\n", - " 3.20320000e+00, 1.65620000e+00, 4.76840000e+00, 2.07480000e+00,\n", - " 5.46000000e-02, 3.64000000e-02, 2.73000000e-01, 1.23760000e+00,\n", - " 1.46510000e+00, 2.27500000e-01, 0.00000000e+00, 8.19000000e-02,\n", - " 8.55400000e-01, 1.63800000e-01, 2.91200000e-01, 4.82300000e-01,\n", - " 3.19410000e+00, 2.09300000e+00, 6.37000000e-02, 2.18400000e-01,\n", - " 1.18300000e-01, 9.10000000e-02, 9.10000000e-02, 2.73000000e-01,\n", - " 2.73000000e-01, 3.50350000e+00, 3.33970000e+00, 2.54800000e-01,\n", - " 3.54900000e-01, 1.36500000e-01, 1.00100000e-01, 3.00300000e-01,\n", - " 9.10000000e-02, 9.10000000e-02, 6.18800000e-01, 4.73200000e-01,\n", - " 6.46100000e-01, 8.09900000e-01, 6.90690000e+00, 1.41960000e+00,\n", - " 1.25580000e+00, 1.31040000e+00, 2.44790000e+00, 1.82000000e-01,\n", - " 1.18300000e+00, 3.37610000e+00, 2.36600000e-01, 9.60960000e+00,\n", - " 7.19810000e+00, 4.41350000e+00, 4.91400000e-01, 1.36500000e-01,\n", - " 8.05350000e+00, 2.03840000e+00, 3.39430000e+00, 7.46200000e-01,\n", - " 1.72900000e-01, 2.78460000e+00, 2.23860000e+00, 9.10000000e-02,\n", - " 3.64000000e-02, 2.73000000e-02, 8.19000000e-01, 3.64000000e-02,\n", - " 3.79470000e+00, 8.13540000e+00, 3.64000000e-01, 7.46200000e-01,\n", - " 1.67440000e+00, 4.55000000e-02, 2.09300000e-01, 2.45700000e+00,\n", - " 2.63900000e-01, 4.36800000e-01, 9.37300000e-01, 5.10510000e+00,\n", - " 2.81190000e+00, 5.82400000e-01, 9.19100000e-01, 1.21940000e+00,\n", - " 1.36500000e-01, 6.18800000e-01, 7.82600000e-01, 3.27600000e-01,\n", - " 4.55000000e-02, 4.91400000e-01, 2.36600000e-01, 2.27500000e-01,\n", - " 5.18700000e-01, 6.46100000e-01, 9.55500000e-01, 2.54800000e-01,\n", - " 2.73000000e-02, 3.45800000e-01, 4.39530000e+00, 2.45700000e-01,\n", - " 2.14760000e+00, 2.18400000e-01, 7.82600000e-01, 4.45900000e+00,\n", - " 6.99790000e+00, 1.56520000e+00, 2.98480000e+00, 3.45800000e-01,\n", - " 3.18500000e-01, 2.27500000e-01, 1.66530000e+00, 2.73000000e-01,\n", - " 2.91200000e-01, 1.63800000e-01, 4.55000000e-01, 4.36800000e-01,\n", - " 4.64100000e+00, 1.33770000e+00, 5.27800000e-01, 9.10000000e-03,\n", - " 4.45900000e-01, 1.68350000e+00, 1.93830000e+00, 1.82000000e+00,\n", - " 1.72900000e-01, 6.73400000e-01, 1.27400000e+00, 2.27500000e-01,\n", - " 5.73300000e-01, 3.45800000e-01, 1.54700000e-01, 2.54800000e-01,\n", - " 5.55100000e-01, 4.27700000e-01, 3.73100000e-01, 7.28000000e-02,\n", - " 2.73910000e+00, 3.48530000e+00, 1.36500000e-01, 1.45600000e-01,\n", - " 3.18500000e-01, 1.01738000e+01, 5.50550000e+00, 1.18300000e-01,\n", - " 3.88570000e+00, 2.02020000e+00, 9.10000000e-03, 3.91300000e-01,\n", - " 2.18400000e-01, 1.85640000e+00, 2.73000000e+00, 3.74920000e+00,\n", - " 2.54800000e-01, 7.28910000e+00, 1.24670000e+00, 5.27800000e+00,\n", - " 6.82500000e-01, 9.55500000e-01, 4.06770000e+00, 3.07580000e+00,\n", - " 1.26490000e+00, 1.44690000e+00, 0.00000000e+00, 9.10000000e-01,\n", - " 8.09900000e-01, 1.09200000e-01, 5.46000000e-02, 1.00100000e-01,\n", - " 1.54700000e-01, 2.91200000e-01, 6.00600000e-01, 4.09500000e-01,\n", - " 3.45800000e-01, 1.62890000e+00, 1.77450000e+00, 3.64000000e-02,\n", - " 3.54900000e-01, 4.91400000e-01, 2.18400000e-01, 3.36700000e-01,\n", - " 1.82000000e-01, 5.91500000e-01, 1.51970000e+00, 2.18400000e-01,\n", - " 1.72900000e-01, 9.97360000e+00, 3.91300000e-01, 3.36700000e-01,\n", - " 2.91200000e-01, 1.86550000e+00, 4.27700000e-01, 1.54700000e-01,\n", - " 1.31040000e+00, 3.45800000e-01, 2.41150000e+00, 6.37000000e-01,\n", - " 5.45090000e+00, 3.94030000e+00, 3.73100000e+00, 3.36700000e-01,\n", - " 3.64000000e-02, 4.27700000e-01, 1.00100000e-01, 2.45700000e-01,\n", - " 5.05960000e+00, 2.63900000e-01, 2.73000000e-02, 1.45600000e-01,\n", - " 3.38520000e+00, 8.55400000e-01, 2.00200000e-01, 6.91600000e-01,\n", - " 3.34880000e+00, 6.07880000e+00, 1.11384000e+01, 1.29220000e+00,\n", - " 5.86040000e+00, 7.87150000e+00, 6.82500000e-01, 3.54900000e-01,\n", - " 9.55500000e-01, 1.33588000e+01, 7.13440000e+00, 3.64000000e-02,\n", - " 4.09500000e-01, 6.00600000e-01, 2.54800000e-01, 1.16480000e+00,\n", - " 5.27800000e-01, 9.10000000e-01, 1.01010000e+00, 5.37810000e+00,\n", - " 1.26490000e+00, 7.28000000e-02, 1.52880000e+00, 2.41150000e+00,\n", - " 1.44690000e+00, 1.26490000e+00, 8.19000000e-02, 7.00700000e-01,\n", - " 4.27700000e-01, 1.54700000e-01, 8.19000000e-02, 6.72490000e+00,\n", - " 4.91400000e-01, 1.91100000e-01, 6.37000000e-01, 1.21940000e+00,\n", - " 7.19810000e+00, 4.02220000e+00, 6.27900000e-01, 8.73600000e-01,\n", - " 3.53080000e+00, 5.00500000e-01, 8.55400000e-01, 2.73000000e+00,\n", - " 2.31140000e+00, 3.36700000e-01, 4.19510000e+00, 3.82200000e-01,\n", - " 8.35380000e+00, 4.45900000e-01, 1.33770000e+00, 6.37000000e-02,\n", - " 4.55000000e-02, 1.18300000e-01, 6.91600000e-01, 4.64100000e-01,\n", - " 7.46200000e-01, 4.09500000e-01, 3.18500000e-01, 3.91300000e-01,\n", - " 1.37410000e+00, 4.73200000e-01, 1.91100000e-01, 1.82000000e+00,\n", - " 1.54700000e-01, 5.84220000e+00, 1.41050000e+00, 1.43780000e+00,\n", - " 3.36700000e-01, 5.27800000e-01, 2.00200000e-01, 6.49740000e+00,\n", - " 2.54800000e-01, 1.18300000e-01, 1.35590000e+00, 1.20484000e+01,\n", - " 1.82000000e-01, 2.91200000e-01, 3.64000000e-02, 5.56920000e+00,\n", - " 9.10000000e-02, 1.25580000e+00, 1.82000000e-01, 5.01410000e+00,\n", - " 2.03840000e+00, 8.19000000e-02, 1.82000000e-02, 3.36700000e+00,\n", - " 6.37000000e-02, 5.55100000e-01, 1.85640000e+00, 4.91400000e-01,\n", - " 2.24770000e+00, 7.55300000e-01, 1.60160000e+00, 2.54800000e-01,\n", - " 4.73200000e-01, 8.19000000e-02, 6.92510000e+00, 7.09800000e+00,\n", - " 1.53790000e+00, 3.77650000e+00, 7.75320000e+00, 3.00300000e-01,\n", - " 4.55000000e-02, 1.54700000e-01, 3.18500000e-01, 4.09500000e-01,\n", - " 1.36500000e-01, 5.46000000e-02, 3.00300000e-01, 7.28000000e-01,\n", - " 1.01010000e+00, 3.00300000e-01, 1.63800000e-01, 1.54700000e-01,\n", - " 2.09300000e-01, 2.73000000e-02, 6.73400000e-01, 3.45800000e-01,\n", - " 1.63800000e-01, 8.46300000e-01, 7.28000000e-02, 1.30130000e+00,\n", - " 2.22040000e+00, 8.09900000e-01, 2.11120000e+00, 3.83110000e+00,\n", - " 1.21030000e+00, 5.82400000e+00, 6.37000000e-01, 1.11930000e+00,\n", - " 2.18400000e+00, 8.82700000e-01, 4.18600000e-01, 5.27800000e-01,\n", - " 2.36600000e-01, 3.00300000e-01, 9.10000000e-03, 3.36700000e-01,\n", - " 1.54700000e-01, 8.19000000e-02, 3.73100000e-01, 1.70170000e+00,\n", - " 4.00400000e-01, 3.27600000e-01, 1.36500000e-01, 5.91500000e-01,\n", - " 3.89480000e+00, 1.64710000e+00, 4.45900000e-01, 1.08290000e+00,\n", - " 3.18500000e-01, 8.00800000e+00, 5.64200000e-01, 2.72090000e+00,\n", - " 5.46000000e-01, 6.91600000e-01, 2.82100000e-01, 8.00800000e-01,\n", - " 4.18600000e-01, 3.00300000e-01, 1.01920000e+00, 5.46000000e-02,\n", - " 1.63800000e-01, 4.27700000e-01, 3.18500000e-01, 4.18600000e-01,\n", - " 1.18300000e-01, 6.09700000e-01, 3.64000000e+00, 1.04650000e+00,\n", - " 1.64710000e+00, 9.91900000e-01, 5.73300000e-01, 1.25580000e+00,\n", - " 4.19510000e+00, 3.19410000e+00, 2.36600000e-01, 9.46400000e-01,\n", - " 4.82300000e-01, 6.27900000e-01, 1.41960000e+00, 2.70270000e+00,\n", - " 2.73000000e-02, 4.55000000e-02, 3.21230000e+00, 3.31240000e+00,\n", - " 5.09600000e-01, 6.37000000e-02, 3.54900000e-01, 2.36600000e-01,\n", - " 2.73000000e-02, 6.37000000e-02, 2.73000000e-01, 3.18500000e-01,\n", - " 3.61270000e+00, 1.74720000e+00, 1.91100000e-01, 5.36900000e-01,\n", - " 3.74920000e+00, 2.18400000e-01, 6.80680000e+00, 3.27600000e-01,\n", - " 4.90490000e+00, 4.45900000e-01, 1.93830000e+00, 3.64000000e-02,\n", - " 1.18300000e-01, 3.09400000e-01, 1.27400000e-01, 2.06570000e+00,\n", - " 1.25580000e+00, 9.91900000e-01, 1.45600000e-01, 3.91300000e-01,\n", - " 2.73000000e-02, 1.67440000e+00, 4.64100000e-01, 5.46000000e-02,\n", - " 7.64400000e-01, 2.66630000e+00, 9.46400000e-01, 9.10000000e-03,\n", - " 3.94940000e+00, 2.73000000e-01, 2.78460000e+00, 4.55000000e-02,\n", - " 2.73000000e-02, 3.54900000e-01, 1.65620000e+00, 2.54800000e-01,\n", - " 6.91600000e-01, 1.61070000e+00, 8.19000000e-02, 1.09200000e-01,\n", - " 5.75120000e+00, 3.64000000e-02, 3.64000000e-02, 2.91200000e-01,\n", - " 3.36700000e-01, 2.91200000e-01, 1.00100000e-01, 4.91400000e-01,\n", - " 4.18600000e-01, 5.82400000e-01, 4.36800000e-01, 1.25580000e+00,\n", - " 2.26590000e+00, 1.72900000e-01, 9.10000000e-02, 2.36600000e-01,\n", - " 3.91300000e-01, 4.00400000e-01, 1.31040000e+00, 1.54700000e-01,\n", - " 8.19000000e-02, 4.45900000e-01, 2.32050000e+00, 7.55300000e-01,\n", - " 4.27700000e-01, 1.61252000e+01, 1.82000000e-02, 2.00200000e-01,\n", - " 1.91100000e-01, 5.46000000e-02, 6.37000000e-02, 8.19000000e-02,\n", - " 7.28000000e-02, 5.27800000e-01, 1.27400000e-01, 1.69260000e+00,\n", - " 8.75420000e+00, 5.00500000e-01, 1.72900000e-01, 5.91500000e-01,\n", - " 3.15770000e+00, 2.45700000e-01, 1.54700000e-01, 6.82500000e-01,\n", - " 1.36500000e-01, 7.91700000e-01, 1.34680000e+00, 1.10110000e+00,\n", - " 1.00100000e-01, 5.09600000e-01, 3.54900000e-01, 2.63900000e-01,\n", - " 4.27700000e-01, 2.38420000e+00, 5.09600000e-01, 8.28100000e-01,\n", - " 1.34680000e+00, 1.63800000e+00, 1.27400000e-01, 3.64000000e-01,\n", - " 1.51060000e+00, 1.38320000e+00, 4.93220000e+00, 1.18300000e-01,\n", - " 1.81090000e+00, 2.18400000e-01, 5.36900000e-01, 7.55300000e-01,\n", - " 1.82000000e-01, 7.55300000e-01, 2.73000000e-01, 2.27500000e-01,\n", - " 6.37000000e-01, 7.18900000e-01, 1.63800000e-01, 7.28000000e-02,\n", - " 5.82400000e-01, 1.02830000e+00, 6.46100000e-01, 4.27700000e-01,\n", - " 2.45700000e-01, 2.73000000e-02, 1.03740000e+00, 2.92110000e+00,\n", - " 3.91300000e-01, 2.00200000e-01, 9.10000000e-03, 6.00600000e-01,\n", - " 4.27700000e-01, 1.36500000e-01, 1.63800000e-01, 7.18900000e-01,\n", - " 2.18400000e-01, 4.65920000e+00, 4.27700000e-01, 1.63800000e-01,\n", - " 0.00000000e+00, 9.28200000e-01, 2.18400000e-01, 2.91200000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.59312261e+03, -2.52731782e+03, -6.70947159e+01, 4.93576859e-02,\n", - " 0.00000000e+00, -5.52247891e+01, -1.91719088e+02, 0.00000000e+00,\n", - " 0.00000000e+00, -1.27109629e+02, 2.36827106e+01, -1.46449280e+01,\n", - " 0.00000000e+00, -2.09314578e+03, 2.09314578e+03]), array([ 8.04000000e-01, 3.75600000e+00, 7.33200000e+00, 5.19600000e+00,\n", - " 2.76000000e-01, 5.04000000e-01, 3.36000000e-01, 7.08000000e-01,\n", - " 1.16400000e+00, 1.80000000e-01, 7.08000000e-01, 5.64000000e-01,\n", - " 1.26240000e+01, 4.80000000e-02, 1.68000000e-01, 1.08000000e-01,\n", - " 6.30000000e+00, 4.53600000e+00, 6.84000000e-01, 1.06800000e+00,\n", - " 2.52000000e-01, 1.32000000e-01, 7.20000000e-02, 0.00000000e+00,\n", - " 2.40000000e-01, 7.92000000e-01, 6.00000000e-02, 4.62000000e+00,\n", - " 9.00000000e-01, 3.70800000e+00, 1.96800000e+00, 1.50000000e+00,\n", - " 1.65600000e+00, 7.20000000e-02, 0.00000000e+00, 8.40000000e-02,\n", - " 9.36000000e-01, 4.32000000e-01, 2.16000000e-01, 1.56000000e-01,\n", - " 5.40000000e-01, 5.04000000e-01, 1.35600000e+00, 2.85600000e+00,\n", - " 4.56000000e-01, 4.74000000e+00, 1.50000000e+00, 6.03600000e+00,\n", - " 7.56000000e-01, 2.10960000e+01, 1.32000000e-01, 1.68000000e-01,\n", - " 5.52000000e-01, 3.96000000e-01, 8.88000000e-01, 2.16000000e-01,\n", - " 7.92000000e-01, 6.31200000e+00, 1.09560000e+01, 2.94000000e+00,\n", - " 2.05200000e+00, 1.80000000e+00, 7.20000000e-01, 3.07200000e+00,\n", - " 3.72000000e-01, 3.00000000e-01, 2.92800000e+00, 2.49600000e+00,\n", - " 1.20000000e-01, 0.00000000e+00, 5.52000000e-01, 5.64000000e-01,\n", - " 4.80000000e-02, 1.32000000e-01, 1.00800000e+00, 2.06400000e+00,\n", - " 1.22400000e+00, 3.96000000e-01, 4.08000000e-01, 3.02400000e+00,\n", - " 7.03200000e+00, 6.25200000e+00, 1.36800000e+00, 2.20800000e+00,\n", - " 2.58000000e+00, 2.88000000e+00, 3.24000000e-01, 6.72000000e-01,\n", - " 1.20000000e-01, 1.44000000e-01, 2.16000000e-01, 0.00000000e+00,\n", - " 6.00000000e-02, 1.68000000e-01, 2.43600000e+00, 6.36000000e-01,\n", - " 7.20000000e-02, 0.00000000e+00, 1.80000000e-01, 1.95600000e+00,\n", - " 1.56000000e+00, 5.56800000e+00, 7.29600000e+00, 1.35600000e+00,\n", - " 2.16000000e-01, 1.08000000e-01, 5.64000000e-01, 1.08000000e-01,\n", - " 3.22800000e+00, 2.50800000e+00, 7.68000000e-01, 6.24000000e-01,\n", - " 6.54000000e+00, 1.32000000e+00, 0.00000000e+00, 3.15600000e+00,\n", - " 2.07600000e+00, 1.02480000e+01, 1.65600000e+00, 4.90800000e+00,\n", - " 1.02000000e+00, 1.39200000e+00, 3.80400000e+00, 6.38400000e+00,\n", - " 5.71200000e+00, 1.14360000e+01, 1.70400000e+00, 7.32000000e-01,\n", - " 4.86000000e+00, 6.02400000e+00, 2.05200000e+00, 1.12800000e+00,\n", - " 2.40000000e-01, 9.60000000e-01, 1.78800000e+00, 1.24800000e+00,\n", - " 1.05600000e+00, 3.12000000e+00, 8.88000000e-01, 3.00000000e-01,\n", - " 5.96400000e+00, 5.07600000e+00, 4.45200000e+00, 4.65600000e+00,\n", - " 7.08000000e-01, 8.04000000e-01, 1.56000000e-01, 4.20000000e-01,\n", - " 8.64000000e-01, 1.65600000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.19160000e+01, 1.73280000e+01, 3.76200000e+01, 9.84000000e-01,\n", - " 1.08000000e+00, 5.88000000e-01, 1.32000000e-01, 1.44000000e-01,\n", - " 3.60000000e-01, 3.12000000e-01, 1.93200000e+00, 1.76400000e+00,\n", - " 1.65600000e+00, 4.80000000e-01, 1.24320000e+01, 2.27640000e+01,\n", - " 3.48000000e-01, 3.00000000e-01, 8.04000000e-01, 3.24000000e-01,\n", - " 3.60000000e-01, 8.52000000e-01, 1.60800000e+00, 5.76000000e-01,\n", - " 8.16000000e-01, 8.40000000e-01, 1.08000000e-01, 2.05200000e+00,\n", - " 2.64000000e-01, 6.36000000e-01, 7.56000000e-01, 1.95600000e+00,\n", - " 1.52400000e+00, 1.32000000e-01, 2.26800000e+00, 6.84000000e-01,\n", - " 4.92000000e-01, 5.40000000e-01, 1.27200000e+00, 6.48000000e-01,\n", - " 1.40400000e+00, 7.20000000e-02, 6.60000000e-01, 4.08000000e-01,\n", - " 5.76000000e-01, 2.04000000e-01, 2.35080000e+01, 6.00000000e-01,\n", - " 5.28000000e-01, 2.40000000e+01, 8.64000000e-01, 1.56000000e-01,\n", - " 0.00000000e+00, 1.56000000e-01, 7.20000000e-02, 6.00000000e-01,\n", - " 8.28000000e-01, 1.68000000e-01, 6.36000000e-01, 7.92000000e+00,\n", - " 5.05200000e+00, 6.10800000e+00, 2.13120000e+01, 1.85040000e+01,\n", - " 5.04000000e-01, 2.88000000e-01, 4.84800000e+00, 3.12000000e+00,\n", - " 1.05480000e+01, 7.48800000e+00, 1.08000000e-01, 2.64000000e+00,\n", - " 7.56000000e-01, 1.07160000e+01, 6.00000000e-02, 8.40000000e-02,\n", - " 1.32000000e-01, 6.00000000e-02, 3.78000000e+00, 2.98800000e+00,\n", - " 3.00000000e+00, 9.42000000e+00, 4.92000000e-01, 1.20000000e-01,\n", - " 4.69200000e+00, 1.56000000e-01, 4.92000000e-01, 7.57200000e+00,\n", - " 5.16000000e-01, 4.80000000e-01, 4.56000000e-01, 5.28000000e-01,\n", - " 2.76000000e-01, 6.13200000e+00, 3.48000000e+00, 1.08000000e+00,\n", - " 1.64400000e+00, 5.76000000e-01, 1.08000000e-01, 3.07200000e+00,\n", - " 1.92000000e+00, 4.38000000e+00, 4.32000000e-01, 7.68000000e-01,\n", - " 2.76000000e-01, 4.44000000e-01, 9.00000000e-01, 3.44400000e+00,\n", - " 9.72000000e-01, 3.54000000e+00, 1.35600000e+00, 5.04000000e-01,\n", - " 1.05600000e+00, 1.81200000e+00, 3.02400000e+00, 8.25600000e+00,\n", - " 9.24000000e-01, 4.38000000e+00, 4.08000000e-01, 3.96000000e-01,\n", - " 1.08000000e+00, 2.19600000e+00, 8.40000000e-01, 2.49600000e+00,\n", - " 1.68000000e-01, 5.64000000e-01, 3.12000000e+00, 1.63200000e+00,\n", - " 2.04000000e-01, 3.72000000e-01, 1.30800000e+00, 7.56000000e-01,\n", - " 1.42800000e+00, 9.60000000e-01, 1.32000000e-01, 4.20000000e-01,\n", - " 9.60000000e-02, 1.20000000e-02, 4.87200000e+00, 6.51600000e+00,\n", - " 3.12000000e-01, 2.28000000e-01, 1.44120000e+01, 6.50400000e+00,\n", - " 1.23600000e+00, 4.87200000e+00, 7.56000000e-01, 2.54400000e+00,\n", - " 3.36000000e-01, 3.00000000e-01, 3.39600000e+00, 4.08000000e-01,\n", - " 1.56000000e-01, 2.36400000e+00, 1.33200000e+00, 6.24000000e-01,\n", - " 5.49600000e+00, 1.92000000e-01, 4.44000000e-01, 2.28000000e-01,\n", - " 3.24000000e-01, 1.20000000e-01, 7.50000000e+00, 3.91200000e+00,\n", - " 4.44000000e-01, 2.04000000e-01, 3.19200000e+00, 3.36000000e-01,\n", - " 1.59600000e+00, 1.20000000e-02, 1.47600000e+00, 1.89600000e+00,\n", - " 5.40000000e-01, 1.78800000e+00, 3.00000000e-01, 9.54000000e+00,\n", - " 4.08000000e-01, 3.96000000e-01, 3.72000000e-01, 1.37280000e+01,\n", - " 4.20000000e-01, 9.96000000e-01, 1.08000000e-01, 6.00000000e-02,\n", - " 3.32400000e+00, 1.18800000e+00, 9.60000000e-02, 0.00000000e+00,\n", - " 4.22400000e+00, 2.18400000e+00, 6.28800000e+00, 2.73600000e+00,\n", - " 7.20000000e-02, 4.80000000e-02, 3.60000000e-01, 1.63200000e+00,\n", - " 1.93200000e+00, 3.00000000e-01, 0.00000000e+00, 1.08000000e-01,\n", - " 1.12800000e+00, 2.16000000e-01, 3.84000000e-01, 6.36000000e-01,\n", - " 4.21200000e+00, 2.76000000e+00, 8.40000000e-02, 2.88000000e-01,\n", - " 1.56000000e-01, 1.20000000e-01, 1.20000000e-01, 3.60000000e-01,\n", - " 3.60000000e-01, 4.62000000e+00, 4.40400000e+00, 3.36000000e-01,\n", - " 4.68000000e-01, 1.80000000e-01, 1.32000000e-01, 3.96000000e-01,\n", - " 1.20000000e-01, 1.20000000e-01, 8.16000000e-01, 6.24000000e-01,\n", - " 8.52000000e-01, 1.06800000e+00, 9.10800000e+00, 1.87200000e+00,\n", - " 1.65600000e+00, 1.72800000e+00, 3.22800000e+00, 2.40000000e-01,\n", - " 1.56000000e+00, 4.45200000e+00, 3.12000000e-01, 1.26720000e+01,\n", - " 9.49200000e+00, 5.82000000e+00, 6.48000000e-01, 1.80000000e-01,\n", - " 1.06200000e+01, 2.68800000e+00, 4.47600000e+00, 9.84000000e-01,\n", - " 2.28000000e-01, 3.67200000e+00, 2.95200000e+00, 1.20000000e-01,\n", - " 4.80000000e-02, 3.60000000e-02, 1.08000000e+00, 4.80000000e-02,\n", - " 5.00400000e+00, 1.07280000e+01, 4.80000000e-01, 9.84000000e-01,\n", - " 2.20800000e+00, 6.00000000e-02, 2.76000000e-01, 3.24000000e+00,\n", - " 3.48000000e-01, 5.76000000e-01, 1.23600000e+00, 6.73200000e+00,\n", - " 3.70800000e+00, 7.68000000e-01, 1.21200000e+00, 1.60800000e+00,\n", - " 1.80000000e-01, 8.16000000e-01, 1.03200000e+00, 4.32000000e-01,\n", - " 6.00000000e-02, 6.48000000e-01, 3.12000000e-01, 3.00000000e-01,\n", - " 6.84000000e-01, 8.52000000e-01, 1.26000000e+00, 3.36000000e-01,\n", - " 3.60000000e-02, 4.56000000e-01, 5.79600000e+00, 3.24000000e-01,\n", - " 2.83200000e+00, 2.88000000e-01, 1.03200000e+00, 5.88000000e+00,\n", - " 9.22800000e+00, 2.06400000e+00, 3.93600000e+00, 4.56000000e-01,\n", - " 4.20000000e-01, 3.00000000e-01, 2.19600000e+00, 3.60000000e-01,\n", - " 3.84000000e-01, 2.16000000e-01, 6.00000000e-01, 5.76000000e-01,\n", - " 6.12000000e+00, 1.76400000e+00, 6.96000000e-01, 1.20000000e-02,\n", - " 5.88000000e-01, 2.22000000e+00, 2.55600000e+00, 2.40000000e+00,\n", - " 2.28000000e-01, 8.88000000e-01, 1.68000000e+00, 3.00000000e-01,\n", - " 7.56000000e-01, 4.56000000e-01, 2.04000000e-01, 3.36000000e-01,\n", - " 7.32000000e-01, 5.64000000e-01, 4.92000000e-01, 9.60000000e-02,\n", - " 3.61200000e+00, 4.59600000e+00, 1.80000000e-01, 1.92000000e-01,\n", - " 4.20000000e-01, 1.34160000e+01, 7.26000000e+00, 1.56000000e-01,\n", - " 5.12400000e+00, 2.66400000e+00, 1.20000000e-02, 5.16000000e-01,\n", - " 2.88000000e-01, 2.44800000e+00, 3.60000000e+00, 4.94400000e+00,\n", - " 3.36000000e-01, 9.61200000e+00, 1.64400000e+00, 6.96000000e+00,\n", - " 9.00000000e-01, 1.26000000e+00, 5.36400000e+00, 4.05600000e+00,\n", - " 1.66800000e+00, 1.90800000e+00, 0.00000000e+00, 1.20000000e+00,\n", - " 1.06800000e+00, 1.44000000e-01, 7.20000000e-02, 1.32000000e-01,\n", - " 2.04000000e-01, 3.84000000e-01, 7.92000000e-01, 5.40000000e-01,\n", - " 4.56000000e-01, 2.14800000e+00, 2.34000000e+00, 4.80000000e-02,\n", - " 4.68000000e-01, 6.48000000e-01, 2.88000000e-01, 4.44000000e-01,\n", - " 2.40000000e-01, 7.80000000e-01, 2.00400000e+00, 2.88000000e-01,\n", - " 2.28000000e-01, 1.31520000e+01, 5.16000000e-01, 4.44000000e-01,\n", - " 3.84000000e-01, 2.46000000e+00, 5.64000000e-01, 2.04000000e-01,\n", - " 1.72800000e+00, 4.56000000e-01, 3.18000000e+00, 8.40000000e-01,\n", - " 7.18800000e+00, 5.19600000e+00, 4.92000000e+00, 4.44000000e-01,\n", - " 4.80000000e-02, 5.64000000e-01, 1.32000000e-01, 3.24000000e-01,\n", - " 6.67200000e+00, 3.48000000e-01, 3.60000000e-02, 1.92000000e-01,\n", - " 4.46400000e+00, 1.12800000e+00, 2.64000000e-01, 9.12000000e-01,\n", - " 4.41600000e+00, 8.01600000e+00, 1.46880000e+01, 1.70400000e+00,\n", - " 7.72800000e+00, 1.03800000e+01, 9.00000000e-01, 4.68000000e-01,\n", - " 1.26000000e+00, 1.76160000e+01, 9.40800000e+00, 4.80000000e-02,\n", - " 5.40000000e-01, 7.92000000e-01, 3.36000000e-01, 1.53600000e+00,\n", - " 6.96000000e-01, 1.20000000e+00, 1.33200000e+00, 7.09200000e+00,\n", - " 1.66800000e+00, 9.60000000e-02, 2.01600000e+00, 3.18000000e+00,\n", - " 1.90800000e+00, 1.66800000e+00, 1.08000000e-01, 9.24000000e-01,\n", - " 5.64000000e-01, 2.04000000e-01, 1.08000000e-01, 8.86800000e+00,\n", - " 6.48000000e-01, 2.52000000e-01, 8.40000000e-01, 1.60800000e+00,\n", - " 9.49200000e+00, 5.30400000e+00, 8.28000000e-01, 1.15200000e+00,\n", - " 4.65600000e+00, 6.60000000e-01, 1.12800000e+00, 3.60000000e+00,\n", - " 3.04800000e+00, 4.44000000e-01, 5.53200000e+00, 5.04000000e-01,\n", - " 1.10160000e+01, 5.88000000e-01, 1.76400000e+00, 8.40000000e-02,\n", - " 6.00000000e-02, 1.56000000e-01, 9.12000000e-01, 6.12000000e-01,\n", - " 9.84000000e-01, 5.40000000e-01, 4.20000000e-01, 5.16000000e-01,\n", - " 1.81200000e+00, 6.24000000e-01, 2.52000000e-01, 2.40000000e+00,\n", - " 2.04000000e-01, 7.70400000e+00, 1.86000000e+00, 1.89600000e+00,\n", - " 4.44000000e-01, 6.96000000e-01, 2.64000000e-01, 8.56800000e+00,\n", - " 3.36000000e-01, 1.56000000e-01, 1.78800000e+00, 1.58880000e+01,\n", - " 2.40000000e-01, 3.84000000e-01, 4.80000000e-02, 7.34400000e+00,\n", - " 1.20000000e-01, 1.65600000e+00, 2.40000000e-01, 6.61200000e+00,\n", - " 2.68800000e+00, 1.08000000e-01, 2.40000000e-02, 4.44000000e+00,\n", - " 8.40000000e-02, 7.32000000e-01, 2.44800000e+00, 6.48000000e-01,\n", - " 2.96400000e+00, 9.96000000e-01, 2.11200000e+00, 3.36000000e-01,\n", - " 6.24000000e-01, 1.08000000e-01, 9.13200000e+00, 9.36000000e+00,\n", - " 2.02800000e+00, 4.98000000e+00, 1.02240000e+01, 3.96000000e-01,\n", - " 6.00000000e-02, 2.04000000e-01, 4.20000000e-01, 5.40000000e-01,\n", - " 1.80000000e-01, 7.20000000e-02, 3.96000000e-01, 9.60000000e-01,\n", - " 1.33200000e+00, 3.96000000e-01, 2.16000000e-01, 2.04000000e-01,\n", - " 2.76000000e-01, 3.60000000e-02, 8.88000000e-01, 4.56000000e-01,\n", - " 2.16000000e-01, 1.11600000e+00, 9.60000000e-02, 1.71600000e+00,\n", - " 2.92800000e+00, 1.06800000e+00, 2.78400000e+00, 5.05200000e+00,\n", - " 1.59600000e+00, 7.68000000e+00, 8.40000000e-01, 1.47600000e+00,\n", - " 2.88000000e+00, 1.16400000e+00, 5.52000000e-01, 6.96000000e-01,\n", - " 3.12000000e-01, 3.96000000e-01, 1.20000000e-02, 4.44000000e-01,\n", - " 2.04000000e-01, 1.08000000e-01, 4.92000000e-01, 2.24400000e+00,\n", - " 5.28000000e-01, 4.32000000e-01, 1.80000000e-01, 7.80000000e-01,\n", - " 5.13600000e+00, 2.17200000e+00, 5.88000000e-01, 1.42800000e+00,\n", - " 4.20000000e-01, 1.05600000e+01, 7.44000000e-01, 3.58800000e+00,\n", - " 7.20000000e-01, 9.12000000e-01, 3.72000000e-01, 1.05600000e+00,\n", - " 5.52000000e-01, 3.96000000e-01, 1.34400000e+00, 7.20000000e-02,\n", - " 2.16000000e-01, 5.64000000e-01, 4.20000000e-01, 5.52000000e-01,\n", - " 1.56000000e-01, 8.04000000e-01, 4.80000000e+00, 1.38000000e+00,\n", - " 2.17200000e+00, 1.30800000e+00, 7.56000000e-01, 1.65600000e+00,\n", - " 5.53200000e+00, 4.21200000e+00, 3.12000000e-01, 1.24800000e+00,\n", - " 6.36000000e-01, 8.28000000e-01, 1.87200000e+00, 3.56400000e+00,\n", - " 3.60000000e-02, 6.00000000e-02, 4.23600000e+00, 4.36800000e+00,\n", - " 6.72000000e-01, 8.40000000e-02, 4.68000000e-01, 3.12000000e-01,\n", - " 3.60000000e-02, 8.40000000e-02, 3.60000000e-01, 4.20000000e-01,\n", - " 4.76400000e+00, 2.30400000e+00, 2.52000000e-01, 7.08000000e-01,\n", - " 4.94400000e+00, 2.88000000e-01, 8.97600000e+00, 4.32000000e-01,\n", - " 6.46800000e+00, 5.88000000e-01, 2.55600000e+00, 4.80000000e-02,\n", - " 1.56000000e-01, 4.08000000e-01, 1.68000000e-01, 2.72400000e+00,\n", - " 1.65600000e+00, 1.30800000e+00, 1.92000000e-01, 5.16000000e-01,\n", - " 3.60000000e-02, 2.20800000e+00, 6.12000000e-01, 7.20000000e-02,\n", - " 1.00800000e+00, 3.51600000e+00, 1.24800000e+00, 1.20000000e-02,\n", - " 5.20800000e+00, 3.60000000e-01, 3.67200000e+00, 6.00000000e-02,\n", - " 3.60000000e-02, 4.68000000e-01, 2.18400000e+00, 3.36000000e-01,\n", - " 9.12000000e-01, 2.12400000e+00, 1.08000000e-01, 1.44000000e-01,\n", - " 7.58400000e+00, 4.80000000e-02, 4.80000000e-02, 3.84000000e-01,\n", - " 4.44000000e-01, 3.84000000e-01, 1.32000000e-01, 6.48000000e-01,\n", - " 5.52000000e-01, 7.68000000e-01, 5.76000000e-01, 1.65600000e+00,\n", - " 2.98800000e+00, 2.28000000e-01, 1.20000000e-01, 3.12000000e-01,\n", - " 5.16000000e-01, 5.28000000e-01, 1.72800000e+00, 2.04000000e-01,\n", - " 1.08000000e-01, 5.88000000e-01, 3.06000000e+00, 9.96000000e-01,\n", - " 5.64000000e-01, 2.12640000e+01, 2.40000000e-02, 2.64000000e-01,\n", - " 2.52000000e-01, 7.20000000e-02, 8.40000000e-02, 1.08000000e-01,\n", - " 9.60000000e-02, 6.96000000e-01, 1.68000000e-01, 2.23200000e+00,\n", - " 1.15440000e+01, 6.60000000e-01, 2.28000000e-01, 7.80000000e-01,\n", - " 4.16400000e+00, 3.24000000e-01, 2.04000000e-01, 9.00000000e-01,\n", - " 1.80000000e-01, 1.04400000e+00, 1.77600000e+00, 1.45200000e+00,\n", - " 1.32000000e-01, 6.72000000e-01, 4.68000000e-01, 3.48000000e-01,\n", - " 5.64000000e-01, 3.14400000e+00, 6.72000000e-01, 1.09200000e+00,\n", - " 1.77600000e+00, 2.16000000e+00, 1.68000000e-01, 4.80000000e-01,\n", - " 1.99200000e+00, 1.82400000e+00, 6.50400000e+00, 1.56000000e-01,\n", - " 2.38800000e+00, 2.88000000e-01, 7.08000000e-01, 9.96000000e-01,\n", - " 2.40000000e-01, 9.96000000e-01, 3.60000000e-01, 3.00000000e-01,\n", - " 8.40000000e-01, 9.48000000e-01, 2.16000000e-01, 9.60000000e-02,\n", - " 7.68000000e-01, 1.35600000e+00, 8.52000000e-01, 5.64000000e-01,\n", - " 3.24000000e-01, 3.60000000e-02, 1.36800000e+00, 3.85200000e+00,\n", - " 5.16000000e-01, 2.64000000e-01, 1.20000000e-02, 7.92000000e-01,\n", - " 5.64000000e-01, 1.80000000e-01, 2.16000000e-01, 9.48000000e-01,\n", - " 2.88000000e-01, 6.14400000e+00, 5.64000000e-01, 2.16000000e-01,\n", - " 0.00000000e+00, 1.22400000e+00, 2.88000000e-01, 3.84000000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.59278596e+03, -2.52731782e+03, -8.84764117e+01, -3.03335249e+01,\n", - " 0.00000000e+00, -7.48953975e+01, -2.52816258e+02, 0.00000000e+00,\n", - " 0.00000000e+00, -1.67616843e+02, -2.13623852e+01, 8.12429500e+01,\n", - " 0.00000000e+00, 3.22703914e+03, -3.53990569e+03]), array([ 8.04000000e-01, 3.75600000e+00, 7.33200000e+00, 5.19600000e+00,\n", - " 2.76000000e-01, 5.04000000e-01, 3.36000000e-01, 7.08000000e-01,\n", - " 1.16400000e+00, 1.80000000e-01, 7.08000000e-01, 5.64000000e-01,\n", - " 1.26240000e+01, 4.80000000e-02, 1.68000000e-01, 1.08000000e-01,\n", - " 6.30000000e+00, 4.53600000e+00, 6.84000000e-01, 1.06800000e+00,\n", - " 2.52000000e-01, 1.32000000e-01, 7.20000000e-02, 0.00000000e+00,\n", - " 2.40000000e-01, 7.92000000e-01, 6.00000000e-02, 4.62000000e+00,\n", - " 9.00000000e-01, 3.70800000e+00, 1.96800000e+00, 1.50000000e+00,\n", - " 1.65600000e+00, 7.20000000e-02, 0.00000000e+00, 8.40000000e-02,\n", - " 9.36000000e-01, 4.32000000e-01, 2.16000000e-01, 1.56000000e-01,\n", - " 5.40000000e-01, 5.04000000e-01, 1.35600000e+00, 2.85600000e+00,\n", - " 4.56000000e-01, 4.74000000e+00, 1.50000000e+00, 6.03600000e+00,\n", - " 7.56000000e-01, 2.10960000e+01, 1.32000000e-01, 1.68000000e-01,\n", - " 5.52000000e-01, 3.96000000e-01, 8.88000000e-01, 2.16000000e-01,\n", - " 7.92000000e-01, 6.31200000e+00, 1.09560000e+01, 2.94000000e+00,\n", - " 2.05200000e+00, 1.80000000e+00, 7.20000000e-01, 3.07200000e+00,\n", - " 3.72000000e-01, 3.00000000e-01, 2.92800000e+00, 2.49600000e+00,\n", - " 1.20000000e-01, 0.00000000e+00, 5.52000000e-01, 5.64000000e-01,\n", - " 4.80000000e-02, 1.32000000e-01, 1.00800000e+00, 2.06400000e+00,\n", - " 1.22400000e+00, 3.96000000e-01, 4.08000000e-01, 3.02400000e+00,\n", - " 7.03200000e+00, 6.25200000e+00, 1.36800000e+00, 2.20800000e+00,\n", - " 2.58000000e+00, 2.88000000e+00, 3.24000000e-01, 6.72000000e-01,\n", - " 1.20000000e-01, 1.44000000e-01, 2.16000000e-01, 0.00000000e+00,\n", - " 6.00000000e-02, 1.68000000e-01, 2.43600000e+00, 6.36000000e-01,\n", - " 7.20000000e-02, 0.00000000e+00, 1.80000000e-01, 1.95600000e+00,\n", - " 1.56000000e+00, 5.56800000e+00, 7.29600000e+00, 1.35600000e+00,\n", - " 2.16000000e-01, 1.08000000e-01, 5.64000000e-01, 1.08000000e-01,\n", - " 3.22800000e+00, 2.50800000e+00, 7.68000000e-01, 6.24000000e-01,\n", - " 6.54000000e+00, 1.32000000e+00, 0.00000000e+00, 3.15600000e+00,\n", - " 2.07600000e+00, 1.02480000e+01, 1.65600000e+00, 4.90800000e+00,\n", - " 1.02000000e+00, 1.39200000e+00, 3.80400000e+00, 6.38400000e+00,\n", - " 5.71200000e+00, 1.14360000e+01, 1.70400000e+00, 7.32000000e-01,\n", - " 4.86000000e+00, 6.02400000e+00, 2.05200000e+00, 1.12800000e+00,\n", - " 2.40000000e-01, 9.60000000e-01, 1.78800000e+00, 1.24800000e+00,\n", - " 1.05600000e+00, 3.12000000e+00, 8.88000000e-01, 3.00000000e-01,\n", - " 5.96400000e+00, 5.07600000e+00, 4.45200000e+00, 4.65600000e+00,\n", - " 7.08000000e-01, 8.04000000e-01, 1.56000000e-01, 4.20000000e-01,\n", - " 8.64000000e-01, 1.65600000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.19160000e+01, 1.73280000e+01, 3.76200000e+01, 9.84000000e-01,\n", - " 1.08000000e+00, 5.88000000e-01, 1.32000000e-01, 1.44000000e-01,\n", - " 3.60000000e-01, 3.12000000e-01, 1.93200000e+00, 1.76400000e+00,\n", - " 1.65600000e+00, 4.80000000e-01, 1.24320000e+01, 2.27640000e+01,\n", - " 3.48000000e-01, 3.00000000e-01, 8.04000000e-01, 3.24000000e-01,\n", - " 3.60000000e-01, 8.52000000e-01, 1.60800000e+00, 5.76000000e-01,\n", - " 8.16000000e-01, 8.40000000e-01, 1.08000000e-01, 2.05200000e+00,\n", - " 2.64000000e-01, 6.36000000e-01, 7.56000000e-01, 1.95600000e+00,\n", - " 1.52400000e+00, 1.32000000e-01, 2.26800000e+00, 6.84000000e-01,\n", - " 4.92000000e-01, 5.40000000e-01, 1.27200000e+00, 6.48000000e-01,\n", - " 1.40400000e+00, 7.20000000e-02, 6.60000000e-01, 4.08000000e-01,\n", - " 5.76000000e-01, 2.04000000e-01, 2.35080000e+01, 6.00000000e-01,\n", - " 5.28000000e-01, 2.40000000e+01, 8.64000000e-01, 1.56000000e-01,\n", - " 0.00000000e+00, 1.56000000e-01, 7.20000000e-02, 6.00000000e-01,\n", - " 8.28000000e-01, 1.68000000e-01, 6.36000000e-01, 7.92000000e+00,\n", - " 5.05200000e+00, 6.10800000e+00, 2.13120000e+01, 1.85040000e+01,\n", - " 5.04000000e-01, 2.88000000e-01, 4.84800000e+00, 3.12000000e+00,\n", - " 1.05480000e+01, 7.48800000e+00, 1.08000000e-01, 2.64000000e+00,\n", - " 7.56000000e-01, 1.07160000e+01, 6.00000000e-02, 8.40000000e-02,\n", - " 1.32000000e-01, 6.00000000e-02, 3.78000000e+00, 2.98800000e+00,\n", - " 3.00000000e+00, 9.42000000e+00, 4.92000000e-01, 1.20000000e-01,\n", - " 4.69200000e+00, 1.56000000e-01, 4.92000000e-01, 7.57200000e+00,\n", - " 5.16000000e-01, 4.80000000e-01, 4.56000000e-01, 5.28000000e-01,\n", - " 2.76000000e-01, 6.13200000e+00, 3.48000000e+00, 1.08000000e+00,\n", - " 1.64400000e+00, 5.76000000e-01, 1.08000000e-01, 3.07200000e+00,\n", - " 1.92000000e+00, 4.38000000e+00, 4.32000000e-01, 7.68000000e-01,\n", - " 2.76000000e-01, 4.44000000e-01, 9.00000000e-01, 3.44400000e+00,\n", - " 9.72000000e-01, 3.54000000e+00, 1.35600000e+00, 5.04000000e-01,\n", - " 1.05600000e+00, 1.81200000e+00, 3.02400000e+00, 8.25600000e+00,\n", - " 9.24000000e-01, 4.38000000e+00, 4.08000000e-01, 3.96000000e-01,\n", - " 1.08000000e+00, 2.19600000e+00, 8.40000000e-01, 2.49600000e+00,\n", - " 1.68000000e-01, 5.64000000e-01, 3.12000000e+00, 1.63200000e+00,\n", - " 2.04000000e-01, 3.72000000e-01, 1.30800000e+00, 7.56000000e-01,\n", - " 1.42800000e+00, 9.60000000e-01, 1.32000000e-01, 4.20000000e-01,\n", - " 9.60000000e-02, 1.20000000e-02, 4.87200000e+00, 6.51600000e+00,\n", - " 3.12000000e-01, 2.28000000e-01, 1.44120000e+01, 6.50400000e+00,\n", - " 1.23600000e+00, 4.87200000e+00, 7.56000000e-01, 2.54400000e+00,\n", - " 3.36000000e-01, 3.00000000e-01, 3.39600000e+00, 4.08000000e-01,\n", - " 1.56000000e-01, 2.36400000e+00, 1.33200000e+00, 6.24000000e-01,\n", - " 5.49600000e+00, 1.92000000e-01, 4.44000000e-01, 2.28000000e-01,\n", - " 3.24000000e-01, 1.20000000e-01, 7.50000000e+00, 3.91200000e+00,\n", - " 4.44000000e-01, 2.04000000e-01, 3.19200000e+00, 3.36000000e-01,\n", - " 1.59600000e+00, 1.20000000e-02, 1.47600000e+00, 1.89600000e+00,\n", - " 5.40000000e-01, 1.78800000e+00, 3.00000000e-01, 9.54000000e+00,\n", - " 4.08000000e-01, 3.96000000e-01, 3.72000000e-01, 1.37280000e+01,\n", - " 4.20000000e-01, 9.96000000e-01, 1.08000000e-01, 6.00000000e-02,\n", - " 3.32400000e+00, 1.18800000e+00, 9.60000000e-02, 0.00000000e+00,\n", - " 4.22400000e+00, 2.18400000e+00, 6.28800000e+00, 2.73600000e+00,\n", - " 7.20000000e-02, 4.80000000e-02, 3.60000000e-01, 1.63200000e+00,\n", - " 1.93200000e+00, 3.00000000e-01, 0.00000000e+00, 1.08000000e-01,\n", - " 1.12800000e+00, 2.16000000e-01, 3.84000000e-01, 6.36000000e-01,\n", - " 4.21200000e+00, 2.76000000e+00, 8.40000000e-02, 2.88000000e-01,\n", - " 1.56000000e-01, 1.20000000e-01, 1.20000000e-01, 3.60000000e-01,\n", - " 3.60000000e-01, 4.62000000e+00, 4.40400000e+00, 3.36000000e-01,\n", - " 4.68000000e-01, 1.80000000e-01, 1.32000000e-01, 3.96000000e-01,\n", - " 1.20000000e-01, 1.20000000e-01, 8.16000000e-01, 6.24000000e-01,\n", - " 8.52000000e-01, 1.06800000e+00, 9.10800000e+00, 1.87200000e+00,\n", - " 1.65600000e+00, 1.72800000e+00, 3.22800000e+00, 2.40000000e-01,\n", - " 1.56000000e+00, 4.45200000e+00, 3.12000000e-01, 1.26720000e+01,\n", - " 9.49200000e+00, 5.82000000e+00, 6.48000000e-01, 1.80000000e-01,\n", - " 1.06200000e+01, 2.68800000e+00, 4.47600000e+00, 9.84000000e-01,\n", - " 2.28000000e-01, 3.67200000e+00, 2.95200000e+00, 1.20000000e-01,\n", - " 4.80000000e-02, 3.60000000e-02, 1.08000000e+00, 4.80000000e-02,\n", - " 5.00400000e+00, 1.07280000e+01, 4.80000000e-01, 9.84000000e-01,\n", - " 2.20800000e+00, 6.00000000e-02, 2.76000000e-01, 3.24000000e+00,\n", - " 3.48000000e-01, 5.76000000e-01, 1.23600000e+00, 6.73200000e+00,\n", - " 3.70800000e+00, 7.68000000e-01, 1.21200000e+00, 1.60800000e+00,\n", - " 1.80000000e-01, 8.16000000e-01, 1.03200000e+00, 4.32000000e-01,\n", - " 6.00000000e-02, 6.48000000e-01, 3.12000000e-01, 3.00000000e-01,\n", - " 6.84000000e-01, 8.52000000e-01, 1.26000000e+00, 3.36000000e-01,\n", - " 3.60000000e-02, 4.56000000e-01, 5.79600000e+00, 3.24000000e-01,\n", - " 2.83200000e+00, 2.88000000e-01, 1.03200000e+00, 5.88000000e+00,\n", - " 9.22800000e+00, 2.06400000e+00, 3.93600000e+00, 4.56000000e-01,\n", - " 4.20000000e-01, 3.00000000e-01, 2.19600000e+00, 3.60000000e-01,\n", - " 3.84000000e-01, 2.16000000e-01, 6.00000000e-01, 5.76000000e-01,\n", - " 6.12000000e+00, 1.76400000e+00, 6.96000000e-01, 1.20000000e-02,\n", - " 5.88000000e-01, 2.22000000e+00, 2.55600000e+00, 2.40000000e+00,\n", - " 2.28000000e-01, 8.88000000e-01, 1.68000000e+00, 3.00000000e-01,\n", - " 7.56000000e-01, 4.56000000e-01, 2.04000000e-01, 3.36000000e-01,\n", - " 7.32000000e-01, 5.64000000e-01, 4.92000000e-01, 9.60000000e-02,\n", - " 3.61200000e+00, 4.59600000e+00, 1.80000000e-01, 1.92000000e-01,\n", - " 4.20000000e-01, 1.34160000e+01, 7.26000000e+00, 1.56000000e-01,\n", - " 5.12400000e+00, 2.66400000e+00, 1.20000000e-02, 5.16000000e-01,\n", - " 2.88000000e-01, 2.44800000e+00, 3.60000000e+00, 4.94400000e+00,\n", - " 3.36000000e-01, 9.61200000e+00, 1.64400000e+00, 6.96000000e+00,\n", - " 9.00000000e-01, 1.26000000e+00, 5.36400000e+00, 4.05600000e+00,\n", - " 1.66800000e+00, 1.90800000e+00, 0.00000000e+00, 1.20000000e+00,\n", - " 1.06800000e+00, 1.44000000e-01, 7.20000000e-02, 1.32000000e-01,\n", - " 2.04000000e-01, 3.84000000e-01, 7.92000000e-01, 5.40000000e-01,\n", - " 4.56000000e-01, 2.14800000e+00, 2.34000000e+00, 4.80000000e-02,\n", - " 4.68000000e-01, 6.48000000e-01, 2.88000000e-01, 4.44000000e-01,\n", - " 2.40000000e-01, 7.80000000e-01, 2.00400000e+00, 2.88000000e-01,\n", - " 2.28000000e-01, 1.31520000e+01, 5.16000000e-01, 4.44000000e-01,\n", - " 3.84000000e-01, 2.46000000e+00, 5.64000000e-01, 2.04000000e-01,\n", - " 1.72800000e+00, 4.56000000e-01, 3.18000000e+00, 8.40000000e-01,\n", - " 7.18800000e+00, 5.19600000e+00, 4.92000000e+00, 4.44000000e-01,\n", - " 4.80000000e-02, 5.64000000e-01, 1.32000000e-01, 3.24000000e-01,\n", - " 6.67200000e+00, 3.48000000e-01, 3.60000000e-02, 1.92000000e-01,\n", - " 4.46400000e+00, 1.12800000e+00, 2.64000000e-01, 9.12000000e-01,\n", - " 4.41600000e+00, 8.01600000e+00, 1.46880000e+01, 1.70400000e+00,\n", - " 7.72800000e+00, 1.03800000e+01, 9.00000000e-01, 4.68000000e-01,\n", - " 1.26000000e+00, 1.76160000e+01, 9.40800000e+00, 4.80000000e-02,\n", - " 5.40000000e-01, 7.92000000e-01, 3.36000000e-01, 1.53600000e+00,\n", - " 6.96000000e-01, 1.20000000e+00, 1.33200000e+00, 7.09200000e+00,\n", - " 1.66800000e+00, 9.60000000e-02, 2.01600000e+00, 3.18000000e+00,\n", - " 1.90800000e+00, 1.66800000e+00, 1.08000000e-01, 9.24000000e-01,\n", - " 5.64000000e-01, 2.04000000e-01, 1.08000000e-01, 8.86800000e+00,\n", - " 6.48000000e-01, 2.52000000e-01, 8.40000000e-01, 1.60800000e+00,\n", - " 9.49200000e+00, 5.30400000e+00, 8.28000000e-01, 1.15200000e+00,\n", - " 4.65600000e+00, 6.60000000e-01, 1.12800000e+00, 3.60000000e+00,\n", - " 3.04800000e+00, 4.44000000e-01, 5.53200000e+00, 5.04000000e-01,\n", - " 1.10160000e+01, 5.88000000e-01, 1.76400000e+00, 8.40000000e-02,\n", - " 6.00000000e-02, 1.56000000e-01, 9.12000000e-01, 6.12000000e-01,\n", - " 9.84000000e-01, 5.40000000e-01, 4.20000000e-01, 5.16000000e-01,\n", - " 1.81200000e+00, 6.24000000e-01, 2.52000000e-01, 2.40000000e+00,\n", - " 2.04000000e-01, 7.70400000e+00, 1.86000000e+00, 1.89600000e+00,\n", - " 4.44000000e-01, 6.96000000e-01, 2.64000000e-01, 8.56800000e+00,\n", - " 3.36000000e-01, 1.56000000e-01, 1.78800000e+00, 1.58880000e+01,\n", - " 2.40000000e-01, 3.84000000e-01, 4.80000000e-02, 7.34400000e+00,\n", - " 1.20000000e-01, 1.65600000e+00, 2.40000000e-01, 6.61200000e+00,\n", - " 2.68800000e+00, 1.08000000e-01, 2.40000000e-02, 4.44000000e+00,\n", - " 8.40000000e-02, 7.32000000e-01, 2.44800000e+00, 6.48000000e-01,\n", - " 2.96400000e+00, 9.96000000e-01, 2.11200000e+00, 3.36000000e-01,\n", - " 6.24000000e-01, 1.08000000e-01, 9.13200000e+00, 9.36000000e+00,\n", - " 2.02800000e+00, 4.98000000e+00, 1.02240000e+01, 3.96000000e-01,\n", - " 6.00000000e-02, 2.04000000e-01, 4.20000000e-01, 5.40000000e-01,\n", - " 1.80000000e-01, 7.20000000e-02, 3.96000000e-01, 9.60000000e-01,\n", - " 1.33200000e+00, 3.96000000e-01, 2.16000000e-01, 2.04000000e-01,\n", - " 2.76000000e-01, 3.60000000e-02, 8.88000000e-01, 4.56000000e-01,\n", - " 2.16000000e-01, 1.11600000e+00, 9.60000000e-02, 1.71600000e+00,\n", - " 2.92800000e+00, 1.06800000e+00, 2.78400000e+00, 5.05200000e+00,\n", - " 1.59600000e+00, 7.68000000e+00, 8.40000000e-01, 1.47600000e+00,\n", - " 2.88000000e+00, 1.16400000e+00, 5.52000000e-01, 6.96000000e-01,\n", - " 3.12000000e-01, 3.96000000e-01, 1.20000000e-02, 4.44000000e-01,\n", - " 2.04000000e-01, 1.08000000e-01, 4.92000000e-01, 2.24400000e+00,\n", - " 5.28000000e-01, 4.32000000e-01, 1.80000000e-01, 7.80000000e-01,\n", - " 5.13600000e+00, 2.17200000e+00, 5.88000000e-01, 1.42800000e+00,\n", - " 4.20000000e-01, 1.05600000e+01, 7.44000000e-01, 3.58800000e+00,\n", - " 7.20000000e-01, 9.12000000e-01, 3.72000000e-01, 1.05600000e+00,\n", - " 5.52000000e-01, 3.96000000e-01, 1.34400000e+00, 7.20000000e-02,\n", - " 2.16000000e-01, 5.64000000e-01, 4.20000000e-01, 5.52000000e-01,\n", - " 1.56000000e-01, 8.04000000e-01, 4.80000000e+00, 1.38000000e+00,\n", - " 2.17200000e+00, 1.30800000e+00, 7.56000000e-01, 1.65600000e+00,\n", - " 5.53200000e+00, 4.21200000e+00, 3.12000000e-01, 1.24800000e+00,\n", - " 6.36000000e-01, 8.28000000e-01, 1.87200000e+00, 3.56400000e+00,\n", - " 3.60000000e-02, 6.00000000e-02, 4.23600000e+00, 4.36800000e+00,\n", - " 6.72000000e-01, 8.40000000e-02, 4.68000000e-01, 3.12000000e-01,\n", - " 3.60000000e-02, 8.40000000e-02, 3.60000000e-01, 4.20000000e-01,\n", - " 4.76400000e+00, 2.30400000e+00, 2.52000000e-01, 7.08000000e-01,\n", - " 4.94400000e+00, 2.88000000e-01, 8.97600000e+00, 4.32000000e-01,\n", - " 6.46800000e+00, 5.88000000e-01, 2.55600000e+00, 4.80000000e-02,\n", - " 1.56000000e-01, 4.08000000e-01, 1.68000000e-01, 2.72400000e+00,\n", - " 1.65600000e+00, 1.30800000e+00, 1.92000000e-01, 5.16000000e-01,\n", - " 3.60000000e-02, 2.20800000e+00, 6.12000000e-01, 7.20000000e-02,\n", - " 1.00800000e+00, 3.51600000e+00, 1.24800000e+00, 1.20000000e-02,\n", - " 5.20800000e+00, 3.60000000e-01, 3.67200000e+00, 6.00000000e-02,\n", - " 3.60000000e-02, 4.68000000e-01, 2.18400000e+00, 3.36000000e-01,\n", - " 9.12000000e-01, 2.12400000e+00, 1.08000000e-01, 1.44000000e-01,\n", - " 7.58400000e+00, 4.80000000e-02, 4.80000000e-02, 3.84000000e-01,\n", - " 4.44000000e-01, 3.84000000e-01, 1.32000000e-01, 6.48000000e-01,\n", - " 5.52000000e-01, 7.68000000e-01, 5.76000000e-01, 1.65600000e+00,\n", - " 2.98800000e+00, 2.28000000e-01, 1.20000000e-01, 3.12000000e-01,\n", - " 5.16000000e-01, 5.28000000e-01, 1.72800000e+00, 2.04000000e-01,\n", - " 1.08000000e-01, 5.88000000e-01, 3.06000000e+00, 9.96000000e-01,\n", - " 5.64000000e-01, 2.12640000e+01, 2.40000000e-02, 2.64000000e-01,\n", - " 2.52000000e-01, 7.20000000e-02, 8.40000000e-02, 1.08000000e-01,\n", - " 9.60000000e-02, 6.96000000e-01, 1.68000000e-01, 2.23200000e+00,\n", - " 1.15440000e+01, 6.60000000e-01, 2.28000000e-01, 7.80000000e-01,\n", - " 4.16400000e+00, 3.24000000e-01, 2.04000000e-01, 9.00000000e-01,\n", - " 1.80000000e-01, 1.04400000e+00, 1.77600000e+00, 1.45200000e+00,\n", - " 1.32000000e-01, 6.72000000e-01, 4.68000000e-01, 3.48000000e-01,\n", - " 5.64000000e-01, 3.14400000e+00, 6.72000000e-01, 1.09200000e+00,\n", - " 1.77600000e+00, 2.16000000e+00, 1.68000000e-01, 4.80000000e-01,\n", - " 1.99200000e+00, 1.82400000e+00, 6.50400000e+00, 1.56000000e-01,\n", - " 2.38800000e+00, 2.88000000e-01, 7.08000000e-01, 9.96000000e-01,\n", - " 2.40000000e-01, 9.96000000e-01, 3.60000000e-01, 3.00000000e-01,\n", - " 8.40000000e-01, 9.48000000e-01, 2.16000000e-01, 9.60000000e-02,\n", - " 7.68000000e-01, 1.35600000e+00, 8.52000000e-01, 5.64000000e-01,\n", - " 3.24000000e-01, 3.60000000e-02, 1.36800000e+00, 3.85200000e+00,\n", - " 5.16000000e-01, 2.64000000e-01, 1.20000000e-02, 7.92000000e-01,\n", - " 5.64000000e-01, 1.80000000e-01, 2.16000000e-01, 9.48000000e-01,\n", - " 2.88000000e-01, 6.14400000e+00, 5.64000000e-01, 2.16000000e-01,\n", - " 0.00000000e+00, 1.22400000e+00, 2.88000000e-01, 3.84000000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.59212288e+03, -2.52731782e+03, -8.84764118e+01, -3.03832944e+01,\n", - " 0.00000000e+00, -7.55175543e+01, -2.52816255e+02, 0.00000000e+00,\n", - " 0.00000000e+00, 2.72400516e+01, -2.08394560e+02, 5.72961126e+01,\n", - " 0.00000000e+00, 2.64749099e+03, -2.94290114e+03]), array([ 8.04000000e-01, 3.75600000e+00, 7.33200000e+00, 5.19600000e+00,\n", - " 2.76000000e-01, 5.04000000e-01, 3.36000000e-01, 7.08000000e-01,\n", - " 1.16400000e+00, 1.80000000e-01, 7.08000000e-01, 5.64000000e-01,\n", - " 1.26240000e+01, 4.80000000e-02, 1.68000000e-01, 1.08000000e-01,\n", - " 6.30000000e+00, 4.53600000e+00, 6.84000000e-01, 1.06800000e+00,\n", - " 2.52000000e-01, 1.32000000e-01, 7.20000000e-02, 0.00000000e+00,\n", - " 2.40000000e-01, 7.92000000e-01, 6.00000000e-02, 4.62000000e+00,\n", - " 9.00000000e-01, 3.70800000e+00, 1.96800000e+00, 1.50000000e+00,\n", - " 1.65600000e+00, 7.20000000e-02, 0.00000000e+00, 8.40000000e-02,\n", - " 9.36000000e-01, 4.32000000e-01, 2.16000000e-01, 1.56000000e-01,\n", - " 5.40000000e-01, 5.04000000e-01, 1.35600000e+00, 2.85600000e+00,\n", - " 4.56000000e-01, 4.74000000e+00, 1.50000000e+00, 6.03600000e+00,\n", - " 7.56000000e-01, 2.10960000e+01, 1.32000000e-01, 1.68000000e-01,\n", - " 5.52000000e-01, 3.96000000e-01, 8.88000000e-01, 2.16000000e-01,\n", - " 7.92000000e-01, 6.31200000e+00, 1.09560000e+01, 2.94000000e+00,\n", - " 2.05200000e+00, 1.80000000e+00, 7.20000000e-01, 3.07200000e+00,\n", - " 3.72000000e-01, 3.00000000e-01, 2.92800000e+00, 2.49600000e+00,\n", - " 1.20000000e-01, 0.00000000e+00, 5.52000000e-01, 5.64000000e-01,\n", - " 4.80000000e-02, 1.32000000e-01, 1.00800000e+00, 2.06400000e+00,\n", - " 1.22400000e+00, 3.96000000e-01, 4.08000000e-01, 3.02400000e+00,\n", - " 7.03200000e+00, 6.25200000e+00, 1.36800000e+00, 2.20800000e+00,\n", - " 2.58000000e+00, 2.88000000e+00, 3.24000000e-01, 6.72000000e-01,\n", - " 1.20000000e-01, 1.44000000e-01, 2.16000000e-01, 0.00000000e+00,\n", - " 6.00000000e-02, 1.68000000e-01, 2.43600000e+00, 6.36000000e-01,\n", - " 7.20000000e-02, 0.00000000e+00, 1.80000000e-01, 1.95600000e+00,\n", - " 1.56000000e+00, 5.56800000e+00, 7.29600000e+00, 1.35600000e+00,\n", - " 2.16000000e-01, 1.08000000e-01, 5.64000000e-01, 1.08000000e-01,\n", - " 3.22800000e+00, 2.50800000e+00, 7.68000000e-01, 6.24000000e-01,\n", - " 6.54000000e+00, 1.32000000e+00, 0.00000000e+00, 3.15600000e+00,\n", - " 2.07600000e+00, 1.02480000e+01, 1.65600000e+00, 4.90800000e+00,\n", - " 1.02000000e+00, 1.39200000e+00, 3.80400000e+00, 6.38400000e+00,\n", - " 5.71200000e+00, 1.14360000e+01, 1.70400000e+00, 7.32000000e-01,\n", - " 4.86000000e+00, 6.02400000e+00, 2.05200000e+00, 1.12800000e+00,\n", - " 2.40000000e-01, 9.60000000e-01, 1.78800000e+00, 1.24800000e+00,\n", - " 1.05600000e+00, 3.12000000e+00, 8.88000000e-01, 3.00000000e-01,\n", - " 5.96400000e+00, 5.07600000e+00, 4.45200000e+00, 4.65600000e+00,\n", - " 7.08000000e-01, 8.04000000e-01, 1.56000000e-01, 4.20000000e-01,\n", - " 8.64000000e-01, 1.65600000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.19160000e+01, 1.73280000e+01, 3.76200000e+01, 9.84000000e-01,\n", - " 1.08000000e+00, 5.88000000e-01, 1.32000000e-01, 1.44000000e-01,\n", - " 3.60000000e-01, 3.12000000e-01, 1.93200000e+00, 1.76400000e+00,\n", - " 1.65600000e+00, 4.80000000e-01, 1.24320000e+01, 2.27640000e+01,\n", - " 3.48000000e-01, 3.00000000e-01, 8.04000000e-01, 3.24000000e-01,\n", - " 3.60000000e-01, 8.52000000e-01, 1.60800000e+00, 5.76000000e-01,\n", - " 8.16000000e-01, 8.40000000e-01, 1.08000000e-01, 2.05200000e+00,\n", - " 2.64000000e-01, 6.36000000e-01, 7.56000000e-01, 1.95600000e+00,\n", - " 1.52400000e+00, 1.32000000e-01, 2.26800000e+00, 6.84000000e-01,\n", - " 4.92000000e-01, 5.40000000e-01, 1.27200000e+00, 6.48000000e-01,\n", - " 1.40400000e+00, 7.20000000e-02, 6.60000000e-01, 4.08000000e-01,\n", - " 5.76000000e-01, 2.04000000e-01, 2.35080000e+01, 6.00000000e-01,\n", - " 5.28000000e-01, 2.40000000e+01, 8.64000000e-01, 1.56000000e-01,\n", - " 0.00000000e+00, 1.56000000e-01, 7.20000000e-02, 6.00000000e-01,\n", - " 8.28000000e-01, 1.68000000e-01, 6.36000000e-01, 7.92000000e+00,\n", - " 5.05200000e+00, 6.10800000e+00, 2.13120000e+01, 1.85040000e+01,\n", - " 5.04000000e-01, 2.88000000e-01, 4.84800000e+00, 3.12000000e+00,\n", - " 1.05480000e+01, 7.48800000e+00, 1.08000000e-01, 2.64000000e+00,\n", - " 7.56000000e-01, 1.07160000e+01, 6.00000000e-02, 8.40000000e-02,\n", - " 1.32000000e-01, 6.00000000e-02, 3.78000000e+00, 2.98800000e+00,\n", - " 3.00000000e+00, 9.42000000e+00, 4.92000000e-01, 1.20000000e-01,\n", - " 4.69200000e+00, 1.56000000e-01, 4.92000000e-01, 7.57200000e+00,\n", - " 5.16000000e-01, 4.80000000e-01, 4.56000000e-01, 5.28000000e-01,\n", - " 2.76000000e-01, 6.13200000e+00, 3.48000000e+00, 1.08000000e+00,\n", - " 1.64400000e+00, 5.76000000e-01, 1.08000000e-01, 3.07200000e+00,\n", - " 1.92000000e+00, 4.38000000e+00, 4.32000000e-01, 7.68000000e-01,\n", - " 2.76000000e-01, 4.44000000e-01, 9.00000000e-01, 3.44400000e+00,\n", - " 9.72000000e-01, 3.54000000e+00, 1.35600000e+00, 5.04000000e-01,\n", - " 1.05600000e+00, 1.81200000e+00, 3.02400000e+00, 8.25600000e+00,\n", - " 9.24000000e-01, 4.38000000e+00, 4.08000000e-01, 3.96000000e-01,\n", - " 1.08000000e+00, 2.19600000e+00, 8.40000000e-01, 2.49600000e+00,\n", - " 1.68000000e-01, 5.64000000e-01, 3.12000000e+00, 1.63200000e+00,\n", - " 2.04000000e-01, 3.72000000e-01, 1.30800000e+00, 7.56000000e-01,\n", - " 1.42800000e+00, 9.60000000e-01, 1.32000000e-01, 4.20000000e-01,\n", - " 9.60000000e-02, 1.20000000e-02, 4.87200000e+00, 6.51600000e+00,\n", - " 3.12000000e-01, 2.28000000e-01, 1.44120000e+01, 6.50400000e+00,\n", - " 1.23600000e+00, 4.87200000e+00, 7.56000000e-01, 2.54400000e+00,\n", - " 3.36000000e-01, 3.00000000e-01, 3.39600000e+00, 4.08000000e-01,\n", - " 1.56000000e-01, 2.36400000e+00, 1.33200000e+00, 6.24000000e-01,\n", - " 5.49600000e+00, 1.92000000e-01, 4.44000000e-01, 2.28000000e-01,\n", - " 3.24000000e-01, 1.20000000e-01, 7.50000000e+00, 3.91200000e+00,\n", - " 4.44000000e-01, 2.04000000e-01, 3.19200000e+00, 3.36000000e-01,\n", - " 1.59600000e+00, 1.20000000e-02, 1.47600000e+00, 1.89600000e+00,\n", - " 5.40000000e-01, 1.78800000e+00, 3.00000000e-01, 9.54000000e+00,\n", - " 4.08000000e-01, 3.96000000e-01, 3.72000000e-01, 1.37280000e+01,\n", - " 4.20000000e-01, 9.96000000e-01, 1.08000000e-01, 6.00000000e-02,\n", - " 3.32400000e+00, 1.18800000e+00, 9.60000000e-02, 0.00000000e+00,\n", - " 4.22400000e+00, 2.18400000e+00, 6.28800000e+00, 2.73600000e+00,\n", - " 7.20000000e-02, 4.80000000e-02, 3.60000000e-01, 1.63200000e+00,\n", - " 1.93200000e+00, 3.00000000e-01, 0.00000000e+00, 1.08000000e-01,\n", - " 1.12800000e+00, 2.16000000e-01, 3.84000000e-01, 6.36000000e-01,\n", - " 4.21200000e+00, 2.76000000e+00, 8.40000000e-02, 2.88000000e-01,\n", - " 1.56000000e-01, 1.20000000e-01, 1.20000000e-01, 3.60000000e-01,\n", - " 3.60000000e-01, 4.62000000e+00, 4.40400000e+00, 3.36000000e-01,\n", - " 4.68000000e-01, 1.80000000e-01, 1.32000000e-01, 3.96000000e-01,\n", - " 1.20000000e-01, 1.20000000e-01, 8.16000000e-01, 6.24000000e-01,\n", - " 8.52000000e-01, 1.06800000e+00, 9.10800000e+00, 1.87200000e+00,\n", - " 1.65600000e+00, 1.72800000e+00, 3.22800000e+00, 2.40000000e-01,\n", - " 1.56000000e+00, 4.45200000e+00, 3.12000000e-01, 1.26720000e+01,\n", - " 9.49200000e+00, 5.82000000e+00, 6.48000000e-01, 1.80000000e-01,\n", - " 1.06200000e+01, 2.68800000e+00, 4.47600000e+00, 9.84000000e-01,\n", - " 2.28000000e-01, 3.67200000e+00, 2.95200000e+00, 1.20000000e-01,\n", - " 4.80000000e-02, 3.60000000e-02, 1.08000000e+00, 4.80000000e-02,\n", - " 5.00400000e+00, 1.07280000e+01, 4.80000000e-01, 9.84000000e-01,\n", - " 2.20800000e+00, 6.00000000e-02, 2.76000000e-01, 3.24000000e+00,\n", - " 3.48000000e-01, 5.76000000e-01, 1.23600000e+00, 6.73200000e+00,\n", - " 3.70800000e+00, 7.68000000e-01, 1.21200000e+00, 1.60800000e+00,\n", - " 1.80000000e-01, 8.16000000e-01, 1.03200000e+00, 4.32000000e-01,\n", - " 6.00000000e-02, 6.48000000e-01, 3.12000000e-01, 3.00000000e-01,\n", - " 6.84000000e-01, 8.52000000e-01, 1.26000000e+00, 3.36000000e-01,\n", - " 3.60000000e-02, 4.56000000e-01, 5.79600000e+00, 3.24000000e-01,\n", - " 2.83200000e+00, 2.88000000e-01, 1.03200000e+00, 5.88000000e+00,\n", - " 9.22800000e+00, 2.06400000e+00, 3.93600000e+00, 4.56000000e-01,\n", - " 4.20000000e-01, 3.00000000e-01, 2.19600000e+00, 3.60000000e-01,\n", - " 3.84000000e-01, 2.16000000e-01, 6.00000000e-01, 5.76000000e-01,\n", - " 6.12000000e+00, 1.76400000e+00, 6.96000000e-01, 1.20000000e-02,\n", - " 5.88000000e-01, 2.22000000e+00, 2.55600000e+00, 2.40000000e+00,\n", - " 2.28000000e-01, 8.88000000e-01, 1.68000000e+00, 3.00000000e-01,\n", - " 7.56000000e-01, 4.56000000e-01, 2.04000000e-01, 3.36000000e-01,\n", - " 7.32000000e-01, 5.64000000e-01, 4.92000000e-01, 9.60000000e-02,\n", - " 3.61200000e+00, 4.59600000e+00, 1.80000000e-01, 1.92000000e-01,\n", - " 4.20000000e-01, 1.34160000e+01, 7.26000000e+00, 1.56000000e-01,\n", - " 5.12400000e+00, 2.66400000e+00, 1.20000000e-02, 5.16000000e-01,\n", - " 2.88000000e-01, 2.44800000e+00, 3.60000000e+00, 4.94400000e+00,\n", - " 3.36000000e-01, 9.61200000e+00, 1.64400000e+00, 6.96000000e+00,\n", - " 9.00000000e-01, 1.26000000e+00, 5.36400000e+00, 4.05600000e+00,\n", - " 1.66800000e+00, 1.90800000e+00, 0.00000000e+00, 1.20000000e+00,\n", - " 1.06800000e+00, 1.44000000e-01, 7.20000000e-02, 1.32000000e-01,\n", - " 2.04000000e-01, 3.84000000e-01, 7.92000000e-01, 5.40000000e-01,\n", - " 4.56000000e-01, 2.14800000e+00, 2.34000000e+00, 4.80000000e-02,\n", - " 4.68000000e-01, 6.48000000e-01, 2.88000000e-01, 4.44000000e-01,\n", - " 2.40000000e-01, 7.80000000e-01, 2.00400000e+00, 2.88000000e-01,\n", - " 2.28000000e-01, 1.31520000e+01, 5.16000000e-01, 4.44000000e-01,\n", - " 3.84000000e-01, 2.46000000e+00, 5.64000000e-01, 2.04000000e-01,\n", - " 1.72800000e+00, 4.56000000e-01, 3.18000000e+00, 8.40000000e-01,\n", - " 7.18800000e+00, 5.19600000e+00, 4.92000000e+00, 4.44000000e-01,\n", - " 4.80000000e-02, 5.64000000e-01, 1.32000000e-01, 3.24000000e-01,\n", - " 6.67200000e+00, 3.48000000e-01, 3.60000000e-02, 1.92000000e-01,\n", - " 4.46400000e+00, 1.12800000e+00, 2.64000000e-01, 9.12000000e-01,\n", - " 4.41600000e+00, 8.01600000e+00, 1.46880000e+01, 1.70400000e+00,\n", - " 7.72800000e+00, 1.03800000e+01, 9.00000000e-01, 4.68000000e-01,\n", - " 1.26000000e+00, 1.76160000e+01, 9.40800000e+00, 4.80000000e-02,\n", - " 5.40000000e-01, 7.92000000e-01, 3.36000000e-01, 1.53600000e+00,\n", - " 6.96000000e-01, 1.20000000e+00, 1.33200000e+00, 7.09200000e+00,\n", - " 1.66800000e+00, 9.60000000e-02, 2.01600000e+00, 3.18000000e+00,\n", - " 1.90800000e+00, 1.66800000e+00, 1.08000000e-01, 9.24000000e-01,\n", - " 5.64000000e-01, 2.04000000e-01, 1.08000000e-01, 8.86800000e+00,\n", - " 6.48000000e-01, 2.52000000e-01, 8.40000000e-01, 1.60800000e+00,\n", - " 9.49200000e+00, 5.30400000e+00, 8.28000000e-01, 1.15200000e+00,\n", - " 4.65600000e+00, 6.60000000e-01, 1.12800000e+00, 3.60000000e+00,\n", - " 3.04800000e+00, 4.44000000e-01, 5.53200000e+00, 5.04000000e-01,\n", - " 1.10160000e+01, 5.88000000e-01, 1.76400000e+00, 8.40000000e-02,\n", - " 6.00000000e-02, 1.56000000e-01, 9.12000000e-01, 6.12000000e-01,\n", - " 9.84000000e-01, 5.40000000e-01, 4.20000000e-01, 5.16000000e-01,\n", - " 1.81200000e+00, 6.24000000e-01, 2.52000000e-01, 2.40000000e+00,\n", - " 2.04000000e-01, 7.70400000e+00, 1.86000000e+00, 1.89600000e+00,\n", - " 4.44000000e-01, 6.96000000e-01, 2.64000000e-01, 8.56800000e+00,\n", - " 3.36000000e-01, 1.56000000e-01, 1.78800000e+00, 1.58880000e+01,\n", - " 2.40000000e-01, 3.84000000e-01, 4.80000000e-02, 7.34400000e+00,\n", - " 1.20000000e-01, 1.65600000e+00, 2.40000000e-01, 6.61200000e+00,\n", - " 2.68800000e+00, 1.08000000e-01, 2.40000000e-02, 4.44000000e+00,\n", - " 8.40000000e-02, 7.32000000e-01, 2.44800000e+00, 6.48000000e-01,\n", - " 2.96400000e+00, 9.96000000e-01, 2.11200000e+00, 3.36000000e-01,\n", - " 6.24000000e-01, 1.08000000e-01, 9.13200000e+00, 9.36000000e+00,\n", - " 2.02800000e+00, 4.98000000e+00, 1.02240000e+01, 3.96000000e-01,\n", - " 6.00000000e-02, 2.04000000e-01, 4.20000000e-01, 5.40000000e-01,\n", - " 1.80000000e-01, 7.20000000e-02, 3.96000000e-01, 9.60000000e-01,\n", - " 1.33200000e+00, 3.96000000e-01, 2.16000000e-01, 2.04000000e-01,\n", - " 2.76000000e-01, 3.60000000e-02, 8.88000000e-01, 4.56000000e-01,\n", - " 2.16000000e-01, 1.11600000e+00, 9.60000000e-02, 1.71600000e+00,\n", - " 2.92800000e+00, 1.06800000e+00, 2.78400000e+00, 5.05200000e+00,\n", - " 1.59600000e+00, 7.68000000e+00, 8.40000000e-01, 1.47600000e+00,\n", - " 2.88000000e+00, 1.16400000e+00, 5.52000000e-01, 6.96000000e-01,\n", - " 3.12000000e-01, 3.96000000e-01, 1.20000000e-02, 4.44000000e-01,\n", - " 2.04000000e-01, 1.08000000e-01, 4.92000000e-01, 2.24400000e+00,\n", - " 5.28000000e-01, 4.32000000e-01, 1.80000000e-01, 7.80000000e-01,\n", - " 5.13600000e+00, 2.17200000e+00, 5.88000000e-01, 1.42800000e+00,\n", - " 4.20000000e-01, 1.05600000e+01, 7.44000000e-01, 3.58800000e+00,\n", - " 7.20000000e-01, 9.12000000e-01, 3.72000000e-01, 1.05600000e+00,\n", - " 5.52000000e-01, 3.96000000e-01, 1.34400000e+00, 7.20000000e-02,\n", - " 2.16000000e-01, 5.64000000e-01, 4.20000000e-01, 5.52000000e-01,\n", - " 1.56000000e-01, 8.04000000e-01, 4.80000000e+00, 1.38000000e+00,\n", - " 2.17200000e+00, 1.30800000e+00, 7.56000000e-01, 1.65600000e+00,\n", - " 5.53200000e+00, 4.21200000e+00, 3.12000000e-01, 1.24800000e+00,\n", - " 6.36000000e-01, 8.28000000e-01, 1.87200000e+00, 3.56400000e+00,\n", - " 3.60000000e-02, 6.00000000e-02, 4.23600000e+00, 4.36800000e+00,\n", - " 6.72000000e-01, 8.40000000e-02, 4.68000000e-01, 3.12000000e-01,\n", - " 3.60000000e-02, 8.40000000e-02, 3.60000000e-01, 4.20000000e-01,\n", - " 4.76400000e+00, 2.30400000e+00, 2.52000000e-01, 7.08000000e-01,\n", - " 4.94400000e+00, 2.88000000e-01, 8.97600000e+00, 4.32000000e-01,\n", - " 6.46800000e+00, 5.88000000e-01, 2.55600000e+00, 4.80000000e-02,\n", - " 1.56000000e-01, 4.08000000e-01, 1.68000000e-01, 2.72400000e+00,\n", - " 1.65600000e+00, 1.30800000e+00, 1.92000000e-01, 5.16000000e-01,\n", - " 3.60000000e-02, 2.20800000e+00, 6.12000000e-01, 7.20000000e-02,\n", - " 1.00800000e+00, 3.51600000e+00, 1.24800000e+00, 1.20000000e-02,\n", - " 5.20800000e+00, 3.60000000e-01, 3.67200000e+00, 6.00000000e-02,\n", - " 3.60000000e-02, 4.68000000e-01, 2.18400000e+00, 3.36000000e-01,\n", - " 9.12000000e-01, 2.12400000e+00, 1.08000000e-01, 1.44000000e-01,\n", - " 7.58400000e+00, 4.80000000e-02, 4.80000000e-02, 3.84000000e-01,\n", - " 4.44000000e-01, 3.84000000e-01, 1.32000000e-01, 6.48000000e-01,\n", - " 5.52000000e-01, 7.68000000e-01, 5.76000000e-01, 1.65600000e+00,\n", - " 2.98800000e+00, 2.28000000e-01, 1.20000000e-01, 3.12000000e-01,\n", - " 5.16000000e-01, 5.28000000e-01, 1.72800000e+00, 2.04000000e-01,\n", - " 1.08000000e-01, 5.88000000e-01, 3.06000000e+00, 9.96000000e-01,\n", - " 5.64000000e-01, 2.12640000e+01, 2.40000000e-02, 2.64000000e-01,\n", - " 2.52000000e-01, 7.20000000e-02, 8.40000000e-02, 1.08000000e-01,\n", - " 9.60000000e-02, 6.96000000e-01, 1.68000000e-01, 2.23200000e+00,\n", - " 1.15440000e+01, 6.60000000e-01, 2.28000000e-01, 7.80000000e-01,\n", - " 4.16400000e+00, 3.24000000e-01, 2.04000000e-01, 9.00000000e-01,\n", - " 1.80000000e-01, 1.04400000e+00, 1.77600000e+00, 1.45200000e+00,\n", - " 1.32000000e-01, 6.72000000e-01, 4.68000000e-01, 3.48000000e-01,\n", - " 5.64000000e-01, 3.14400000e+00, 6.72000000e-01, 1.09200000e+00,\n", - " 1.77600000e+00, 2.16000000e+00, 1.68000000e-01, 4.80000000e-01,\n", - " 1.99200000e+00, 1.82400000e+00, 6.50400000e+00, 1.56000000e-01,\n", - " 2.38800000e+00, 2.88000000e-01, 7.08000000e-01, 9.96000000e-01,\n", - " 2.40000000e-01, 9.96000000e-01, 3.60000000e-01, 3.00000000e-01,\n", - " 8.40000000e-01, 9.48000000e-01, 2.16000000e-01, 9.60000000e-02,\n", - " 7.68000000e-01, 1.35600000e+00, 8.52000000e-01, 5.64000000e-01,\n", - " 3.24000000e-01, 3.60000000e-02, 1.36800000e+00, 3.85200000e+00,\n", - " 5.16000000e-01, 2.64000000e-01, 1.20000000e-02, 7.92000000e-01,\n", - " 5.64000000e-01, 1.80000000e-01, 2.16000000e-01, 9.48000000e-01,\n", - " 2.88000000e-01, 6.14400000e+00, 5.64000000e-01, 2.16000000e-01,\n", - " 0.00000000e+00, 1.22400000e+00, 2.88000000e-01, 3.84000000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.59025617e+03, -2.52731782e+03, -8.84764255e+01, -3.21301769e+01,\n", - " 0.00000000e+00, -9.15886353e+01, -2.52816311e+02, 0.00000000e+00,\n", - " 0.00000000e+00, 2.69608497e+01, -2.12604722e+02, -2.13939040e+02,\n", - " 0.00000000e+00, -1.95633482e+03, 1.95633482e+03]), array([ 8.70330000e-01, 4.06587000e+00, 7.93689000e+00, 5.62467000e+00,\n", - " 2.98770000e-01, 5.45580000e-01, 3.63720000e-01, 7.66410000e-01,\n", - " 1.26003000e+00, 1.94850000e-01, 7.66410000e-01, 6.10530000e-01,\n", - " 1.36654800e+01, 5.19600000e-02, 1.81860000e-01, 1.16910000e-01,\n", - " 6.81975000e+00, 4.91022000e+00, 7.40430000e-01, 1.15611000e+00,\n", - " 2.72790000e-01, 1.42890000e-01, 7.79400000e-02, 0.00000000e+00,\n", - " 2.59800000e-01, 8.57340000e-01, 6.49500000e-02, 5.00115000e+00,\n", - " 9.74250000e-01, 4.01391000e+00, 2.13036000e+00, 1.62375000e+00,\n", - " 1.79262000e+00, 7.79400000e-02, 0.00000000e+00, 9.09300000e-02,\n", - " 1.01322000e+00, 4.67640000e-01, 2.33820000e-01, 1.68870000e-01,\n", - " 5.84550000e-01, 5.45580000e-01, 1.46787000e+00, 3.09162000e+00,\n", - " 4.93620000e-01, 5.13105000e+00, 1.62375000e+00, 6.53397000e+00,\n", - " 8.18370000e-01, 2.28364200e+01, 1.42890000e-01, 1.81860000e-01,\n", - " 5.97540000e-01, 4.28670000e-01, 9.61260000e-01, 2.33820000e-01,\n", - " 8.57340000e-01, 6.83274000e+00, 1.18598700e+01, 3.18255000e+00,\n", - " 2.22129000e+00, 1.94850000e+00, 7.79400000e-01, 3.32544000e+00,\n", - " 4.02690000e-01, 3.24750000e-01, 3.16956000e+00, 2.70192000e+00,\n", - " 1.29900000e-01, 0.00000000e+00, 5.97540000e-01, 6.10530000e-01,\n", - " 5.19600000e-02, 1.42890000e-01, 1.09116000e+00, 2.23428000e+00,\n", - " 1.32498000e+00, 4.28670000e-01, 4.41660000e-01, 3.27348000e+00,\n", - " 7.61214000e+00, 6.76779000e+00, 1.48086000e+00, 2.39016000e+00,\n", - " 2.79285000e+00, 3.11760000e+00, 3.50730000e-01, 7.27440000e-01,\n", - " 1.29900000e-01, 1.55880000e-01, 2.33820000e-01, 0.00000000e+00,\n", - " 6.49500000e-02, 1.81860000e-01, 2.63697000e+00, 6.88470000e-01,\n", - " 7.79400000e-02, 0.00000000e+00, 1.94850000e-01, 2.11737000e+00,\n", - " 1.68870000e+00, 6.02736000e+00, 7.89792000e+00, 1.46787000e+00,\n", - " 2.33820000e-01, 1.16910000e-01, 6.10530000e-01, 1.16910000e-01,\n", - " 3.49431000e+00, 2.71491000e+00, 8.31360000e-01, 6.75480000e-01,\n", - " 7.07955000e+00, 1.42890000e+00, 0.00000000e+00, 3.41637000e+00,\n", - " 2.24727000e+00, 1.10934600e+01, 1.79262000e+00, 5.31291000e+00,\n", - " 1.10415000e+00, 1.50684000e+00, 4.11783000e+00, 6.91068000e+00,\n", - " 6.18324000e+00, 1.23794700e+01, 1.84458000e+00, 7.92390000e-01,\n", - " 5.26095000e+00, 6.52098000e+00, 2.22129000e+00, 1.22106000e+00,\n", - " 2.59800000e-01, 1.03920000e+00, 1.93551000e+00, 1.35096000e+00,\n", - " 1.14312000e+00, 3.37740000e+00, 9.61260000e-01, 3.24750000e-01,\n", - " 6.45603000e+00, 5.49477000e+00, 4.81929000e+00, 5.04012000e+00,\n", - " 7.66410000e-01, 8.70330000e-01, 1.68870000e-01, 4.54650000e-01,\n", - " 9.35280000e-01, 1.79262000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.28990700e+01, 1.87575600e+01, 4.07236500e+01, 1.06518000e+00,\n", - " 1.16910000e+00, 6.36510000e-01, 1.42890000e-01, 1.55880000e-01,\n", - " 3.89700000e-01, 3.37740000e-01, 2.09139000e+00, 1.90953000e+00,\n", - " 1.79262000e+00, 5.19600000e-01, 1.34576400e+01, 2.46420300e+01,\n", - " 3.76710000e-01, 3.24750000e-01, 8.70330000e-01, 3.50730000e-01,\n", - " 3.89700000e-01, 9.22290000e-01, 1.74066000e+00, 6.23520000e-01,\n", - " 8.83320000e-01, 9.09300000e-01, 1.16910000e-01, 2.22129000e+00,\n", - " 2.85780000e-01, 6.88470000e-01, 8.18370000e-01, 2.11737000e+00,\n", - " 1.64973000e+00, 1.42890000e-01, 2.45511000e+00, 7.40430000e-01,\n", - " 5.32590000e-01, 5.84550000e-01, 1.37694000e+00, 7.01460000e-01,\n", - " 1.51983000e+00, 7.79400000e-02, 7.14450000e-01, 4.41660000e-01,\n", - " 6.23520000e-01, 2.20830000e-01, 2.54474100e+01, 6.49500000e-01,\n", - " 5.71560000e-01, 2.59800000e+01, 9.35280000e-01, 1.68870000e-01,\n", - " 0.00000000e+00, 1.68870000e-01, 7.79400000e-02, 6.49500000e-01,\n", - " 8.96310000e-01, 1.81860000e-01, 6.88470000e-01, 8.57340000e+00,\n", - " 5.46879000e+00, 6.61191000e+00, 2.30702400e+01, 2.00305800e+01,\n", - " 5.45580000e-01, 3.11760000e-01, 5.24796000e+00, 3.37740000e+00,\n", - " 1.14182100e+01, 8.10576000e+00, 1.16910000e-01, 2.85780000e+00,\n", - " 8.18370000e-01, 1.16000700e+01, 6.49500000e-02, 9.09300000e-02,\n", - " 1.42890000e-01, 6.49500000e-02, 4.09185000e+00, 3.23451000e+00,\n", - " 3.24750000e+00, 1.01971500e+01, 5.32590000e-01, 1.29900000e-01,\n", - " 5.07909000e+00, 1.68870000e-01, 5.32590000e-01, 8.19669000e+00,\n", - " 5.58570000e-01, 5.19600000e-01, 4.93620000e-01, 5.71560000e-01,\n", - " 2.98770000e-01, 6.63789000e+00, 3.76710000e+00, 1.16910000e+00,\n", - " 1.77963000e+00, 6.23520000e-01, 1.16910000e-01, 3.32544000e+00,\n", - " 2.07840000e+00, 4.74135000e+00, 4.67640000e-01, 8.31360000e-01,\n", - " 2.98770000e-01, 4.80630000e-01, 9.74250000e-01, 3.72813000e+00,\n", - " 1.05219000e+00, 3.83205000e+00, 1.46787000e+00, 5.45580000e-01,\n", - " 1.14312000e+00, 1.96149000e+00, 3.27348000e+00, 8.93712000e+00,\n", - " 1.00023000e+00, 4.74135000e+00, 4.41660000e-01, 4.28670000e-01,\n", - " 1.16910000e+00, 2.37717000e+00, 9.09300000e-01, 2.70192000e+00,\n", - " 1.81860000e-01, 6.10530000e-01, 3.37740000e+00, 1.76664000e+00,\n", - " 2.20830000e-01, 4.02690000e-01, 1.41591000e+00, 8.18370000e-01,\n", - " 1.54581000e+00, 1.03920000e+00, 1.42890000e-01, 4.54650000e-01,\n", - " 1.03920000e-01, 1.29900000e-02, 5.27394000e+00, 7.05357000e+00,\n", - " 3.37740000e-01, 2.46810000e-01, 1.56009900e+01, 7.04058000e+00,\n", - " 1.33797000e+00, 5.27394000e+00, 8.18370000e-01, 2.75388000e+00,\n", - " 3.63720000e-01, 3.24750000e-01, 3.67617000e+00, 4.41660000e-01,\n", - " 1.68870000e-01, 2.55903000e+00, 1.44189000e+00, 6.75480000e-01,\n", - " 5.94942000e+00, 2.07840000e-01, 4.80630000e-01, 2.46810000e-01,\n", - " 3.50730000e-01, 1.29900000e-01, 8.11875000e+00, 4.23474000e+00,\n", - " 4.80630000e-01, 2.20830000e-01, 3.45534000e+00, 3.63720000e-01,\n", - " 1.72767000e+00, 1.29900000e-02, 1.59777000e+00, 2.05242000e+00,\n", - " 5.84550000e-01, 1.93551000e+00, 3.24750000e-01, 1.03270500e+01,\n", - " 4.41660000e-01, 4.28670000e-01, 4.02690000e-01, 1.48605600e+01,\n", - " 4.54650000e-01, 1.07817000e+00, 1.16910000e-01, 6.49500000e-02,\n", - " 3.59823000e+00, 1.28601000e+00, 1.03920000e-01, 0.00000000e+00,\n", - " 4.57248000e+00, 2.36418000e+00, 6.80676000e+00, 2.96172000e+00,\n", - " 7.79400000e-02, 5.19600000e-02, 3.89700000e-01, 1.76664000e+00,\n", - " 2.09139000e+00, 3.24750000e-01, 0.00000000e+00, 1.16910000e-01,\n", - " 1.22106000e+00, 2.33820000e-01, 4.15680000e-01, 6.88470000e-01,\n", - " 4.55949000e+00, 2.98770000e+00, 9.09300000e-02, 3.11760000e-01,\n", - " 1.68870000e-01, 1.29900000e-01, 1.29900000e-01, 3.89700000e-01,\n", - " 3.89700000e-01, 5.00115000e+00, 4.76733000e+00, 3.63720000e-01,\n", - " 5.06610000e-01, 1.94850000e-01, 1.42890000e-01, 4.28670000e-01,\n", - " 1.29900000e-01, 1.29900000e-01, 8.83320000e-01, 6.75480000e-01,\n", - " 9.22290000e-01, 1.15611000e+00, 9.85941000e+00, 2.02644000e+00,\n", - " 1.79262000e+00, 1.87056000e+00, 3.49431000e+00, 2.59800000e-01,\n", - " 1.68870000e+00, 4.81929000e+00, 3.37740000e-01, 1.37174400e+01,\n", - " 1.02750900e+01, 6.30015000e+00, 7.01460000e-01, 1.94850000e-01,\n", - " 1.14961500e+01, 2.90976000e+00, 4.84527000e+00, 1.06518000e+00,\n", - " 2.46810000e-01, 3.97494000e+00, 3.19554000e+00, 1.29900000e-01,\n", - " 5.19600000e-02, 3.89700000e-02, 1.16910000e+00, 5.19600000e-02,\n", - " 5.41683000e+00, 1.16130600e+01, 5.19600000e-01, 1.06518000e+00,\n", - " 2.39016000e+00, 6.49500000e-02, 2.98770000e-01, 3.50730000e+00,\n", - " 3.76710000e-01, 6.23520000e-01, 1.33797000e+00, 7.28739000e+00,\n", - " 4.01391000e+00, 8.31360000e-01, 1.31199000e+00, 1.74066000e+00,\n", - " 1.94850000e-01, 8.83320000e-01, 1.11714000e+00, 4.67640000e-01,\n", - " 6.49500000e-02, 7.01460000e-01, 3.37740000e-01, 3.24750000e-01,\n", - " 7.40430000e-01, 9.22290000e-01, 1.36395000e+00, 3.63720000e-01,\n", - " 3.89700000e-02, 4.93620000e-01, 6.27417000e+00, 3.50730000e-01,\n", - " 3.06564000e+00, 3.11760000e-01, 1.11714000e+00, 6.36510000e+00,\n", - " 9.98931000e+00, 2.23428000e+00, 4.26072000e+00, 4.93620000e-01,\n", - " 4.54650000e-01, 3.24750000e-01, 2.37717000e+00, 3.89700000e-01,\n", - " 4.15680000e-01, 2.33820000e-01, 6.49500000e-01, 6.23520000e-01,\n", - " 6.62490000e+00, 1.90953000e+00, 7.53420000e-01, 1.29900000e-02,\n", - " 6.36510000e-01, 2.40315000e+00, 2.76687000e+00, 2.59800000e+00,\n", - " 2.46810000e-01, 9.61260000e-01, 1.81860000e+00, 3.24750000e-01,\n", - " 8.18370000e-01, 4.93620000e-01, 2.20830000e-01, 3.63720000e-01,\n", - " 7.92390000e-01, 6.10530000e-01, 5.32590000e-01, 1.03920000e-01,\n", - " 3.90999000e+00, 4.97517000e+00, 1.94850000e-01, 2.07840000e-01,\n", - " 4.54650000e-01, 1.45228200e+01, 7.85895000e+00, 1.68870000e-01,\n", - " 5.54673000e+00, 2.88378000e+00, 1.29900000e-02, 5.58570000e-01,\n", - " 3.11760000e-01, 2.64996000e+00, 3.89700000e+00, 5.35188000e+00,\n", - " 3.63720000e-01, 1.04049900e+01, 1.77963000e+00, 7.53420000e+00,\n", - " 9.74250000e-01, 1.36395000e+00, 5.80653000e+00, 4.39062000e+00,\n", - " 1.80561000e+00, 2.06541000e+00, 0.00000000e+00, 1.29900000e+00,\n", - " 1.15611000e+00, 1.55880000e-01, 7.79400000e-02, 1.42890000e-01,\n", - " 2.20830000e-01, 4.15680000e-01, 8.57340000e-01, 5.84550000e-01,\n", - " 4.93620000e-01, 2.32521000e+00, 2.53305000e+00, 5.19600000e-02,\n", - " 5.06610000e-01, 7.01460000e-01, 3.11760000e-01, 4.80630000e-01,\n", - " 2.59800000e-01, 8.44350000e-01, 2.16933000e+00, 3.11760000e-01,\n", - " 2.46810000e-01, 1.42370400e+01, 5.58570000e-01, 4.80630000e-01,\n", - " 4.15680000e-01, 2.66295000e+00, 6.10530000e-01, 2.20830000e-01,\n", - " 1.87056000e+00, 4.93620000e-01, 3.44235000e+00, 9.09300000e-01,\n", - " 7.78101000e+00, 5.62467000e+00, 5.32590000e+00, 4.80630000e-01,\n", - " 5.19600000e-02, 6.10530000e-01, 1.42890000e-01, 3.50730000e-01,\n", - " 7.22244000e+00, 3.76710000e-01, 3.89700000e-02, 2.07840000e-01,\n", - " 4.83228000e+00, 1.22106000e+00, 2.85780000e-01, 9.87240000e-01,\n", - " 4.78032000e+00, 8.67732000e+00, 1.58997600e+01, 1.84458000e+00,\n", - " 8.36556000e+00, 1.12363500e+01, 9.74250000e-01, 5.06610000e-01,\n", - " 1.36395000e+00, 1.90693200e+01, 1.01841600e+01, 5.19600000e-02,\n", - " 5.84550000e-01, 8.57340000e-01, 3.63720000e-01, 1.66272000e+00,\n", - " 7.53420000e-01, 1.29900000e+00, 1.44189000e+00, 7.67709000e+00,\n", - " 1.80561000e+00, 1.03920000e-01, 2.18232000e+00, 3.44235000e+00,\n", - " 2.06541000e+00, 1.80561000e+00, 1.16910000e-01, 1.00023000e+00,\n", - " 6.10530000e-01, 2.20830000e-01, 1.16910000e-01, 9.59961000e+00,\n", - " 7.01460000e-01, 2.72790000e-01, 9.09300000e-01, 1.74066000e+00,\n", - " 1.02750900e+01, 5.74158000e+00, 8.96310000e-01, 1.24704000e+00,\n", - " 5.04012000e+00, 7.14450000e-01, 1.22106000e+00, 3.89700000e+00,\n", - " 3.29946000e+00, 4.80630000e-01, 5.98839000e+00, 5.45580000e-01,\n", - " 1.19248200e+01, 6.36510000e-01, 1.90953000e+00, 9.09300000e-02,\n", - " 6.49500000e-02, 1.68870000e-01, 9.87240000e-01, 6.62490000e-01,\n", - " 1.06518000e+00, 5.84550000e-01, 4.54650000e-01, 5.58570000e-01,\n", - " 1.96149000e+00, 6.75480000e-01, 2.72790000e-01, 2.59800000e+00,\n", - " 2.20830000e-01, 8.33958000e+00, 2.01345000e+00, 2.05242000e+00,\n", - " 4.80630000e-01, 7.53420000e-01, 2.85780000e-01, 9.27486000e+00,\n", - " 3.63720000e-01, 1.68870000e-01, 1.93551000e+00, 1.71987600e+01,\n", - " 2.59800000e-01, 4.15680000e-01, 5.19600000e-02, 7.94988000e+00,\n", - " 1.29900000e-01, 1.79262000e+00, 2.59800000e-01, 7.15749000e+00,\n", - " 2.90976000e+00, 1.16910000e-01, 2.59800000e-02, 4.80630000e+00,\n", - " 9.09300000e-02, 7.92390000e-01, 2.64996000e+00, 7.01460000e-01,\n", - " 3.20853000e+00, 1.07817000e+00, 2.28624000e+00, 3.63720000e-01,\n", - " 6.75480000e-01, 1.16910000e-01, 9.88539000e+00, 1.01322000e+01,\n", - " 2.19531000e+00, 5.39085000e+00, 1.10674800e+01, 4.28670000e-01,\n", - " 6.49500000e-02, 2.20830000e-01, 4.54650000e-01, 5.84550000e-01,\n", - " 1.94850000e-01, 7.79400000e-02, 4.28670000e-01, 1.03920000e+00,\n", - " 1.44189000e+00, 4.28670000e-01, 2.33820000e-01, 2.20830000e-01,\n", - " 2.98770000e-01, 3.89700000e-02, 9.61260000e-01, 4.93620000e-01,\n", - " 2.33820000e-01, 1.20807000e+00, 1.03920000e-01, 1.85757000e+00,\n", - " 3.16956000e+00, 1.15611000e+00, 3.01368000e+00, 5.46879000e+00,\n", - " 1.72767000e+00, 8.31360000e+00, 9.09300000e-01, 1.59777000e+00,\n", - " 3.11760000e+00, 1.26003000e+00, 5.97540000e-01, 7.53420000e-01,\n", - " 3.37740000e-01, 4.28670000e-01, 1.29900000e-02, 4.80630000e-01,\n", - " 2.20830000e-01, 1.16910000e-01, 5.32590000e-01, 2.42913000e+00,\n", - " 5.71560000e-01, 4.67640000e-01, 1.94850000e-01, 8.44350000e-01,\n", - " 5.55972000e+00, 2.35119000e+00, 6.36510000e-01, 1.54581000e+00,\n", - " 4.54650000e-01, 1.14312000e+01, 8.05380000e-01, 3.88401000e+00,\n", - " 7.79400000e-01, 9.87240000e-01, 4.02690000e-01, 1.14312000e+00,\n", - " 5.97540000e-01, 4.28670000e-01, 1.45488000e+00, 7.79400000e-02,\n", - " 2.33820000e-01, 6.10530000e-01, 4.54650000e-01, 5.97540000e-01,\n", - " 1.68870000e-01, 8.70330000e-01, 5.19600000e+00, 1.49385000e+00,\n", - " 2.35119000e+00, 1.41591000e+00, 8.18370000e-01, 1.79262000e+00,\n", - " 5.98839000e+00, 4.55949000e+00, 3.37740000e-01, 1.35096000e+00,\n", - " 6.88470000e-01, 8.96310000e-01, 2.02644000e+00, 3.85803000e+00,\n", - " 3.89700000e-02, 6.49500000e-02, 4.58547000e+00, 4.72836000e+00,\n", - " 7.27440000e-01, 9.09300000e-02, 5.06610000e-01, 3.37740000e-01,\n", - " 3.89700000e-02, 9.09300000e-02, 3.89700000e-01, 4.54650000e-01,\n", - " 5.15703000e+00, 2.49408000e+00, 2.72790000e-01, 7.66410000e-01,\n", - " 5.35188000e+00, 3.11760000e-01, 9.71652000e+00, 4.67640000e-01,\n", - " 7.00161000e+00, 6.36510000e-01, 2.76687000e+00, 5.19600000e-02,\n", - " 1.68870000e-01, 4.41660000e-01, 1.81860000e-01, 2.94873000e+00,\n", - " 1.79262000e+00, 1.41591000e+00, 2.07840000e-01, 5.58570000e-01,\n", - " 3.89700000e-02, 2.39016000e+00, 6.62490000e-01, 7.79400000e-02,\n", - " 1.09116000e+00, 3.80607000e+00, 1.35096000e+00, 1.29900000e-02,\n", - " 5.63766000e+00, 3.89700000e-01, 3.97494000e+00, 6.49500000e-02,\n", - " 3.89700000e-02, 5.06610000e-01, 2.36418000e+00, 3.63720000e-01,\n", - " 9.87240000e-01, 2.29923000e+00, 1.16910000e-01, 1.55880000e-01,\n", - " 8.20968000e+00, 5.19600000e-02, 5.19600000e-02, 4.15680000e-01,\n", - " 4.80630000e-01, 4.15680000e-01, 1.42890000e-01, 7.01460000e-01,\n", - " 5.97540000e-01, 8.31360000e-01, 6.23520000e-01, 1.79262000e+00,\n", - " 3.23451000e+00, 2.46810000e-01, 1.29900000e-01, 3.37740000e-01,\n", - " 5.58570000e-01, 5.71560000e-01, 1.87056000e+00, 2.20830000e-01,\n", - " 1.16910000e-01, 6.36510000e-01, 3.31245000e+00, 1.07817000e+00,\n", - " 6.10530000e-01, 2.30182800e+01, 2.59800000e-02, 2.85780000e-01,\n", - " 2.72790000e-01, 7.79400000e-02, 9.09300000e-02, 1.16910000e-01,\n", - " 1.03920000e-01, 7.53420000e-01, 1.81860000e-01, 2.41614000e+00,\n", - " 1.24963800e+01, 7.14450000e-01, 2.46810000e-01, 8.44350000e-01,\n", - " 4.50753000e+00, 3.50730000e-01, 2.20830000e-01, 9.74250000e-01,\n", - " 1.94850000e-01, 1.13013000e+00, 1.92252000e+00, 1.57179000e+00,\n", - " 1.42890000e-01, 7.27440000e-01, 5.06610000e-01, 3.76710000e-01,\n", - " 6.10530000e-01, 3.40338000e+00, 7.27440000e-01, 1.18209000e+00,\n", - " 1.92252000e+00, 2.33820000e+00, 1.81860000e-01, 5.19600000e-01,\n", - " 2.15634000e+00, 1.97448000e+00, 7.04058000e+00, 1.68870000e-01,\n", - " 2.58501000e+00, 3.11760000e-01, 7.66410000e-01, 1.07817000e+00,\n", - " 2.59800000e-01, 1.07817000e+00, 3.89700000e-01, 3.24750000e-01,\n", - " 9.09300000e-01, 1.02621000e+00, 2.33820000e-01, 1.03920000e-01,\n", - " 8.31360000e-01, 1.46787000e+00, 9.22290000e-01, 6.10530000e-01,\n", - " 3.50730000e-01, 3.89700000e-02, 1.48086000e+00, 4.16979000e+00,\n", - " 5.58570000e-01, 2.85780000e-01, 1.29900000e-02, 8.57340000e-01,\n", - " 6.10530000e-01, 1.94850000e-01, 2.33820000e-01, 1.02621000e+00,\n", - " 3.11760000e-01, 6.65088000e+00, 6.10530000e-01, 2.33820000e-01,\n", - " 0.00000000e+00, 1.32498000e+00, 3.11760000e-01, 4.15680000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.59009625e+03, -2.52731782e+03, -9.57756812e+01, -4.13085309e+01,\n", - " 0.00000000e+00, -8.68530918e+01, -2.73673571e+02, 0.00000000e+00,\n", - " 0.00000000e+00, 1.21967047e+01, -2.22648481e+02, 7.73767323e+00,\n", - " 0.00000000e+00, 2.87993514e+03, -3.19268213e+03]), array([ 8.70330000e-01, 4.06587000e+00, 7.93689000e+00, 5.62467000e+00,\n", - " 2.98770000e-01, 5.45580000e-01, 3.63720000e-01, 7.66410000e-01,\n", - " 1.26003000e+00, 1.94850000e-01, 7.66410000e-01, 6.10530000e-01,\n", - " 1.36654800e+01, 5.19600000e-02, 1.81860000e-01, 1.16910000e-01,\n", - " 6.81975000e+00, 4.91022000e+00, 7.40430000e-01, 1.15611000e+00,\n", - " 2.72790000e-01, 1.42890000e-01, 7.79400000e-02, 0.00000000e+00,\n", - " 2.59800000e-01, 8.57340000e-01, 6.49500000e-02, 5.00115000e+00,\n", - " 9.74250000e-01, 4.01391000e+00, 2.13036000e+00, 1.62375000e+00,\n", - " 1.79262000e+00, 7.79400000e-02, 0.00000000e+00, 9.09300000e-02,\n", - " 1.01322000e+00, 4.67640000e-01, 2.33820000e-01, 1.68870000e-01,\n", - " 5.84550000e-01, 5.45580000e-01, 1.46787000e+00, 3.09162000e+00,\n", - " 4.93620000e-01, 5.13105000e+00, 1.62375000e+00, 6.53397000e+00,\n", - " 8.18370000e-01, 2.28364200e+01, 1.42890000e-01, 1.81860000e-01,\n", - " 5.97540000e-01, 4.28670000e-01, 9.61260000e-01, 2.33820000e-01,\n", - " 8.57340000e-01, 6.83274000e+00, 1.18598700e+01, 3.18255000e+00,\n", - " 2.22129000e+00, 1.94850000e+00, 7.79400000e-01, 3.32544000e+00,\n", - " 4.02690000e-01, 3.24750000e-01, 3.16956000e+00, 2.70192000e+00,\n", - " 1.29900000e-01, 0.00000000e+00, 5.97540000e-01, 6.10530000e-01,\n", - " 5.19600000e-02, 1.42890000e-01, 1.09116000e+00, 2.23428000e+00,\n", - " 1.32498000e+00, 4.28670000e-01, 4.41660000e-01, 3.27348000e+00,\n", - " 7.61214000e+00, 6.76779000e+00, 1.48086000e+00, 2.39016000e+00,\n", - " 2.79285000e+00, 3.11760000e+00, 3.50730000e-01, 7.27440000e-01,\n", - " 1.29900000e-01, 1.55880000e-01, 2.33820000e-01, 0.00000000e+00,\n", - " 6.49500000e-02, 1.81860000e-01, 2.63697000e+00, 6.88470000e-01,\n", - " 7.79400000e-02, 0.00000000e+00, 1.94850000e-01, 2.11737000e+00,\n", - " 1.68870000e+00, 6.02736000e+00, 7.89792000e+00, 1.46787000e+00,\n", - " 2.33820000e-01, 1.16910000e-01, 6.10530000e-01, 1.16910000e-01,\n", - " 3.49431000e+00, 2.71491000e+00, 8.31360000e-01, 6.75480000e-01,\n", - " 7.07955000e+00, 1.42890000e+00, 0.00000000e+00, 3.41637000e+00,\n", - " 2.24727000e+00, 1.10934600e+01, 1.79262000e+00, 5.31291000e+00,\n", - " 1.10415000e+00, 1.50684000e+00, 4.11783000e+00, 6.91068000e+00,\n", - " 6.18324000e+00, 1.23794700e+01, 1.84458000e+00, 7.92390000e-01,\n", - " 5.26095000e+00, 6.52098000e+00, 2.22129000e+00, 1.22106000e+00,\n", - " 2.59800000e-01, 1.03920000e+00, 1.93551000e+00, 1.35096000e+00,\n", - " 1.14312000e+00, 3.37740000e+00, 9.61260000e-01, 3.24750000e-01,\n", - " 6.45603000e+00, 5.49477000e+00, 4.81929000e+00, 5.04012000e+00,\n", - " 7.66410000e-01, 8.70330000e-01, 1.68870000e-01, 4.54650000e-01,\n", - " 9.35280000e-01, 1.79262000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.28990700e+01, 1.87575600e+01, 4.07236500e+01, 1.06518000e+00,\n", - " 1.16910000e+00, 6.36510000e-01, 1.42890000e-01, 1.55880000e-01,\n", - " 3.89700000e-01, 3.37740000e-01, 2.09139000e+00, 1.90953000e+00,\n", - " 1.79262000e+00, 5.19600000e-01, 1.34576400e+01, 2.46420300e+01,\n", - " 3.76710000e-01, 3.24750000e-01, 8.70330000e-01, 3.50730000e-01,\n", - " 3.89700000e-01, 9.22290000e-01, 1.74066000e+00, 6.23520000e-01,\n", - " 8.83320000e-01, 9.09300000e-01, 1.16910000e-01, 2.22129000e+00,\n", - " 2.85780000e-01, 6.88470000e-01, 8.18370000e-01, 2.11737000e+00,\n", - " 1.64973000e+00, 1.42890000e-01, 2.45511000e+00, 7.40430000e-01,\n", - " 5.32590000e-01, 5.84550000e-01, 1.37694000e+00, 7.01460000e-01,\n", - " 1.51983000e+00, 7.79400000e-02, 7.14450000e-01, 4.41660000e-01,\n", - " 6.23520000e-01, 2.20830000e-01, 2.54474100e+01, 6.49500000e-01,\n", - " 5.71560000e-01, 2.59800000e+01, 9.35280000e-01, 1.68870000e-01,\n", - " 0.00000000e+00, 1.68870000e-01, 7.79400000e-02, 6.49500000e-01,\n", - " 8.96310000e-01, 1.81860000e-01, 6.88470000e-01, 8.57340000e+00,\n", - " 5.46879000e+00, 6.61191000e+00, 2.30702400e+01, 2.00305800e+01,\n", - " 5.45580000e-01, 3.11760000e-01, 5.24796000e+00, 3.37740000e+00,\n", - " 1.14182100e+01, 8.10576000e+00, 1.16910000e-01, 2.85780000e+00,\n", - " 8.18370000e-01, 1.16000700e+01, 6.49500000e-02, 9.09300000e-02,\n", - " 1.42890000e-01, 6.49500000e-02, 4.09185000e+00, 3.23451000e+00,\n", - " 3.24750000e+00, 1.01971500e+01, 5.32590000e-01, 1.29900000e-01,\n", - " 5.07909000e+00, 1.68870000e-01, 5.32590000e-01, 8.19669000e+00,\n", - " 5.58570000e-01, 5.19600000e-01, 4.93620000e-01, 5.71560000e-01,\n", - " 2.98770000e-01, 6.63789000e+00, 3.76710000e+00, 1.16910000e+00,\n", - " 1.77963000e+00, 6.23520000e-01, 1.16910000e-01, 3.32544000e+00,\n", - " 2.07840000e+00, 4.74135000e+00, 4.67640000e-01, 8.31360000e-01,\n", - " 2.98770000e-01, 4.80630000e-01, 9.74250000e-01, 3.72813000e+00,\n", - " 1.05219000e+00, 3.83205000e+00, 1.46787000e+00, 5.45580000e-01,\n", - " 1.14312000e+00, 1.96149000e+00, 3.27348000e+00, 8.93712000e+00,\n", - " 1.00023000e+00, 4.74135000e+00, 4.41660000e-01, 4.28670000e-01,\n", - " 1.16910000e+00, 2.37717000e+00, 9.09300000e-01, 2.70192000e+00,\n", - " 1.81860000e-01, 6.10530000e-01, 3.37740000e+00, 1.76664000e+00,\n", - " 2.20830000e-01, 4.02690000e-01, 1.41591000e+00, 8.18370000e-01,\n", - " 1.54581000e+00, 1.03920000e+00, 1.42890000e-01, 4.54650000e-01,\n", - " 1.03920000e-01, 1.29900000e-02, 5.27394000e+00, 7.05357000e+00,\n", - " 3.37740000e-01, 2.46810000e-01, 1.56009900e+01, 7.04058000e+00,\n", - " 1.33797000e+00, 5.27394000e+00, 8.18370000e-01, 2.75388000e+00,\n", - " 3.63720000e-01, 3.24750000e-01, 3.67617000e+00, 4.41660000e-01,\n", - " 1.68870000e-01, 2.55903000e+00, 1.44189000e+00, 6.75480000e-01,\n", - " 5.94942000e+00, 2.07840000e-01, 4.80630000e-01, 2.46810000e-01,\n", - " 3.50730000e-01, 1.29900000e-01, 8.11875000e+00, 4.23474000e+00,\n", - " 4.80630000e-01, 2.20830000e-01, 3.45534000e+00, 3.63720000e-01,\n", - " 1.72767000e+00, 1.29900000e-02, 1.59777000e+00, 2.05242000e+00,\n", - " 5.84550000e-01, 1.93551000e+00, 3.24750000e-01, 1.03270500e+01,\n", - " 4.41660000e-01, 4.28670000e-01, 4.02690000e-01, 1.48605600e+01,\n", - " 4.54650000e-01, 1.07817000e+00, 1.16910000e-01, 6.49500000e-02,\n", - " 3.59823000e+00, 1.28601000e+00, 1.03920000e-01, 0.00000000e+00,\n", - " 4.57248000e+00, 2.36418000e+00, 6.80676000e+00, 2.96172000e+00,\n", - " 7.79400000e-02, 5.19600000e-02, 3.89700000e-01, 1.76664000e+00,\n", - " 2.09139000e+00, 3.24750000e-01, 0.00000000e+00, 1.16910000e-01,\n", - " 1.22106000e+00, 2.33820000e-01, 4.15680000e-01, 6.88470000e-01,\n", - " 4.55949000e+00, 2.98770000e+00, 9.09300000e-02, 3.11760000e-01,\n", - " 1.68870000e-01, 1.29900000e-01, 1.29900000e-01, 3.89700000e-01,\n", - " 3.89700000e-01, 5.00115000e+00, 4.76733000e+00, 3.63720000e-01,\n", - " 5.06610000e-01, 1.94850000e-01, 1.42890000e-01, 4.28670000e-01,\n", - " 1.29900000e-01, 1.29900000e-01, 8.83320000e-01, 6.75480000e-01,\n", - " 9.22290000e-01, 1.15611000e+00, 9.85941000e+00, 2.02644000e+00,\n", - " 1.79262000e+00, 1.87056000e+00, 3.49431000e+00, 2.59800000e-01,\n", - " 1.68870000e+00, 4.81929000e+00, 3.37740000e-01, 1.37174400e+01,\n", - " 1.02750900e+01, 6.30015000e+00, 7.01460000e-01, 1.94850000e-01,\n", - " 1.14961500e+01, 2.90976000e+00, 4.84527000e+00, 1.06518000e+00,\n", - " 2.46810000e-01, 3.97494000e+00, 3.19554000e+00, 1.29900000e-01,\n", - " 5.19600000e-02, 3.89700000e-02, 1.16910000e+00, 5.19600000e-02,\n", - " 5.41683000e+00, 1.16130600e+01, 5.19600000e-01, 1.06518000e+00,\n", - " 2.39016000e+00, 6.49500000e-02, 2.98770000e-01, 3.50730000e+00,\n", - " 3.76710000e-01, 6.23520000e-01, 1.33797000e+00, 7.28739000e+00,\n", - " 4.01391000e+00, 8.31360000e-01, 1.31199000e+00, 1.74066000e+00,\n", - " 1.94850000e-01, 8.83320000e-01, 1.11714000e+00, 4.67640000e-01,\n", - " 6.49500000e-02, 7.01460000e-01, 3.37740000e-01, 3.24750000e-01,\n", - " 7.40430000e-01, 9.22290000e-01, 1.36395000e+00, 3.63720000e-01,\n", - " 3.89700000e-02, 4.93620000e-01, 6.27417000e+00, 3.50730000e-01,\n", - " 3.06564000e+00, 3.11760000e-01, 1.11714000e+00, 6.36510000e+00,\n", - " 9.98931000e+00, 2.23428000e+00, 4.26072000e+00, 4.93620000e-01,\n", - " 4.54650000e-01, 3.24750000e-01, 2.37717000e+00, 3.89700000e-01,\n", - " 4.15680000e-01, 2.33820000e-01, 6.49500000e-01, 6.23520000e-01,\n", - " 6.62490000e+00, 1.90953000e+00, 7.53420000e-01, 1.29900000e-02,\n", - " 6.36510000e-01, 2.40315000e+00, 2.76687000e+00, 2.59800000e+00,\n", - " 2.46810000e-01, 9.61260000e-01, 1.81860000e+00, 3.24750000e-01,\n", - " 8.18370000e-01, 4.93620000e-01, 2.20830000e-01, 3.63720000e-01,\n", - " 7.92390000e-01, 6.10530000e-01, 5.32590000e-01, 1.03920000e-01,\n", - " 3.90999000e+00, 4.97517000e+00, 1.94850000e-01, 2.07840000e-01,\n", - " 4.54650000e-01, 1.45228200e+01, 7.85895000e+00, 1.68870000e-01,\n", - " 5.54673000e+00, 2.88378000e+00, 1.29900000e-02, 5.58570000e-01,\n", - " 3.11760000e-01, 2.64996000e+00, 3.89700000e+00, 5.35188000e+00,\n", - " 3.63720000e-01, 1.04049900e+01, 1.77963000e+00, 7.53420000e+00,\n", - " 9.74250000e-01, 1.36395000e+00, 5.80653000e+00, 4.39062000e+00,\n", - " 1.80561000e+00, 2.06541000e+00, 0.00000000e+00, 1.29900000e+00,\n", - " 1.15611000e+00, 1.55880000e-01, 7.79400000e-02, 1.42890000e-01,\n", - " 2.20830000e-01, 4.15680000e-01, 8.57340000e-01, 5.84550000e-01,\n", - " 4.93620000e-01, 2.32521000e+00, 2.53305000e+00, 5.19600000e-02,\n", - " 5.06610000e-01, 7.01460000e-01, 3.11760000e-01, 4.80630000e-01,\n", - " 2.59800000e-01, 8.44350000e-01, 2.16933000e+00, 3.11760000e-01,\n", - " 2.46810000e-01, 1.42370400e+01, 5.58570000e-01, 4.80630000e-01,\n", - " 4.15680000e-01, 2.66295000e+00, 6.10530000e-01, 2.20830000e-01,\n", - " 1.87056000e+00, 4.93620000e-01, 3.44235000e+00, 9.09300000e-01,\n", - " 7.78101000e+00, 5.62467000e+00, 5.32590000e+00, 4.80630000e-01,\n", - " 5.19600000e-02, 6.10530000e-01, 1.42890000e-01, 3.50730000e-01,\n", - " 7.22244000e+00, 3.76710000e-01, 3.89700000e-02, 2.07840000e-01,\n", - " 4.83228000e+00, 1.22106000e+00, 2.85780000e-01, 9.87240000e-01,\n", - " 4.78032000e+00, 8.67732000e+00, 1.58997600e+01, 1.84458000e+00,\n", - " 8.36556000e+00, 1.12363500e+01, 9.74250000e-01, 5.06610000e-01,\n", - " 1.36395000e+00, 1.90693200e+01, 1.01841600e+01, 5.19600000e-02,\n", - " 5.84550000e-01, 8.57340000e-01, 3.63720000e-01, 1.66272000e+00,\n", - " 7.53420000e-01, 1.29900000e+00, 1.44189000e+00, 7.67709000e+00,\n", - " 1.80561000e+00, 1.03920000e-01, 2.18232000e+00, 3.44235000e+00,\n", - " 2.06541000e+00, 1.80561000e+00, 1.16910000e-01, 1.00023000e+00,\n", - " 6.10530000e-01, 2.20830000e-01, 1.16910000e-01, 9.59961000e+00,\n", - " 7.01460000e-01, 2.72790000e-01, 9.09300000e-01, 1.74066000e+00,\n", - " 1.02750900e+01, 5.74158000e+00, 8.96310000e-01, 1.24704000e+00,\n", - " 5.04012000e+00, 7.14450000e-01, 1.22106000e+00, 3.89700000e+00,\n", - " 3.29946000e+00, 4.80630000e-01, 5.98839000e+00, 5.45580000e-01,\n", - " 1.19248200e+01, 6.36510000e-01, 1.90953000e+00, 9.09300000e-02,\n", - " 6.49500000e-02, 1.68870000e-01, 9.87240000e-01, 6.62490000e-01,\n", - " 1.06518000e+00, 5.84550000e-01, 4.54650000e-01, 5.58570000e-01,\n", - " 1.96149000e+00, 6.75480000e-01, 2.72790000e-01, 2.59800000e+00,\n", - " 2.20830000e-01, 8.33958000e+00, 2.01345000e+00, 2.05242000e+00,\n", - " 4.80630000e-01, 7.53420000e-01, 2.85780000e-01, 9.27486000e+00,\n", - " 3.63720000e-01, 1.68870000e-01, 1.93551000e+00, 1.71987600e+01,\n", - " 2.59800000e-01, 4.15680000e-01, 5.19600000e-02, 7.94988000e+00,\n", - " 1.29900000e-01, 1.79262000e+00, 2.59800000e-01, 7.15749000e+00,\n", - " 2.90976000e+00, 1.16910000e-01, 2.59800000e-02, 4.80630000e+00,\n", - " 9.09300000e-02, 7.92390000e-01, 2.64996000e+00, 7.01460000e-01,\n", - " 3.20853000e+00, 1.07817000e+00, 2.28624000e+00, 3.63720000e-01,\n", - " 6.75480000e-01, 1.16910000e-01, 9.88539000e+00, 1.01322000e+01,\n", - " 2.19531000e+00, 5.39085000e+00, 1.10674800e+01, 4.28670000e-01,\n", - " 6.49500000e-02, 2.20830000e-01, 4.54650000e-01, 5.84550000e-01,\n", - " 1.94850000e-01, 7.79400000e-02, 4.28670000e-01, 1.03920000e+00,\n", - " 1.44189000e+00, 4.28670000e-01, 2.33820000e-01, 2.20830000e-01,\n", - " 2.98770000e-01, 3.89700000e-02, 9.61260000e-01, 4.93620000e-01,\n", - " 2.33820000e-01, 1.20807000e+00, 1.03920000e-01, 1.85757000e+00,\n", - " 3.16956000e+00, 1.15611000e+00, 3.01368000e+00, 5.46879000e+00,\n", - " 1.72767000e+00, 8.31360000e+00, 9.09300000e-01, 1.59777000e+00,\n", - " 3.11760000e+00, 1.26003000e+00, 5.97540000e-01, 7.53420000e-01,\n", - " 3.37740000e-01, 4.28670000e-01, 1.29900000e-02, 4.80630000e-01,\n", - " 2.20830000e-01, 1.16910000e-01, 5.32590000e-01, 2.42913000e+00,\n", - " 5.71560000e-01, 4.67640000e-01, 1.94850000e-01, 8.44350000e-01,\n", - " 5.55972000e+00, 2.35119000e+00, 6.36510000e-01, 1.54581000e+00,\n", - " 4.54650000e-01, 1.14312000e+01, 8.05380000e-01, 3.88401000e+00,\n", - " 7.79400000e-01, 9.87240000e-01, 4.02690000e-01, 1.14312000e+00,\n", - " 5.97540000e-01, 4.28670000e-01, 1.45488000e+00, 7.79400000e-02,\n", - " 2.33820000e-01, 6.10530000e-01, 4.54650000e-01, 5.97540000e-01,\n", - " 1.68870000e-01, 8.70330000e-01, 5.19600000e+00, 1.49385000e+00,\n", - " 2.35119000e+00, 1.41591000e+00, 8.18370000e-01, 1.79262000e+00,\n", - " 5.98839000e+00, 4.55949000e+00, 3.37740000e-01, 1.35096000e+00,\n", - " 6.88470000e-01, 8.96310000e-01, 2.02644000e+00, 3.85803000e+00,\n", - " 3.89700000e-02, 6.49500000e-02, 4.58547000e+00, 4.72836000e+00,\n", - " 7.27440000e-01, 9.09300000e-02, 5.06610000e-01, 3.37740000e-01,\n", - " 3.89700000e-02, 9.09300000e-02, 3.89700000e-01, 4.54650000e-01,\n", - " 5.15703000e+00, 2.49408000e+00, 2.72790000e-01, 7.66410000e-01,\n", - " 5.35188000e+00, 3.11760000e-01, 9.71652000e+00, 4.67640000e-01,\n", - " 7.00161000e+00, 6.36510000e-01, 2.76687000e+00, 5.19600000e-02,\n", - " 1.68870000e-01, 4.41660000e-01, 1.81860000e-01, 2.94873000e+00,\n", - " 1.79262000e+00, 1.41591000e+00, 2.07840000e-01, 5.58570000e-01,\n", - " 3.89700000e-02, 2.39016000e+00, 6.62490000e-01, 7.79400000e-02,\n", - " 1.09116000e+00, 3.80607000e+00, 1.35096000e+00, 1.29900000e-02,\n", - " 5.63766000e+00, 3.89700000e-01, 3.97494000e+00, 6.49500000e-02,\n", - " 3.89700000e-02, 5.06610000e-01, 2.36418000e+00, 3.63720000e-01,\n", - " 9.87240000e-01, 2.29923000e+00, 1.16910000e-01, 1.55880000e-01,\n", - " 8.20968000e+00, 5.19600000e-02, 5.19600000e-02, 4.15680000e-01,\n", - " 4.80630000e-01, 4.15680000e-01, 1.42890000e-01, 7.01460000e-01,\n", - " 5.97540000e-01, 8.31360000e-01, 6.23520000e-01, 1.79262000e+00,\n", - " 3.23451000e+00, 2.46810000e-01, 1.29900000e-01, 3.37740000e-01,\n", - " 5.58570000e-01, 5.71560000e-01, 1.87056000e+00, 2.20830000e-01,\n", - " 1.16910000e-01, 6.36510000e-01, 3.31245000e+00, 1.07817000e+00,\n", - " 6.10530000e-01, 2.30182800e+01, 2.59800000e-02, 2.85780000e-01,\n", - " 2.72790000e-01, 7.79400000e-02, 9.09300000e-02, 1.16910000e-01,\n", - " 1.03920000e-01, 7.53420000e-01, 1.81860000e-01, 2.41614000e+00,\n", - " 1.24963800e+01, 7.14450000e-01, 2.46810000e-01, 8.44350000e-01,\n", - " 4.50753000e+00, 3.50730000e-01, 2.20830000e-01, 9.74250000e-01,\n", - " 1.94850000e-01, 1.13013000e+00, 1.92252000e+00, 1.57179000e+00,\n", - " 1.42890000e-01, 7.27440000e-01, 5.06610000e-01, 3.76710000e-01,\n", - " 6.10530000e-01, 3.40338000e+00, 7.27440000e-01, 1.18209000e+00,\n", - " 1.92252000e+00, 2.33820000e+00, 1.81860000e-01, 5.19600000e-01,\n", - " 2.15634000e+00, 1.97448000e+00, 7.04058000e+00, 1.68870000e-01,\n", - " 2.58501000e+00, 3.11760000e-01, 7.66410000e-01, 1.07817000e+00,\n", - " 2.59800000e-01, 1.07817000e+00, 3.89700000e-01, 3.24750000e-01,\n", - " 9.09300000e-01, 1.02621000e+00, 2.33820000e-01, 1.03920000e-01,\n", - " 8.31360000e-01, 1.46787000e+00, 9.22290000e-01, 6.10530000e-01,\n", - " 3.50730000e-01, 3.89700000e-02, 1.48086000e+00, 4.16979000e+00,\n", - " 5.58570000e-01, 2.85780000e-01, 1.29900000e-02, 8.57340000e-01,\n", - " 6.10530000e-01, 1.94850000e-01, 2.33820000e-01, 1.02621000e+00,\n", - " 3.11760000e-01, 6.65088000e+00, 6.10530000e-01, 2.33820000e-01,\n", - " 0.00000000e+00, 1.32498000e+00, 3.11760000e-01, 4.15680000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.58724858e+03, -2.52731782e+03, -9.57756978e+01, -4.33883837e+01,\n", - " 0.00000000e+00, -1.04002891e+02, -2.73673633e+02, 0.00000000e+00,\n", - " 0.00000000e+00, 1.19546423e+01, -2.30361772e+02, -2.74975914e+02,\n", - " 0.00000000e+00, -1.83608867e+03, 1.83608867e+03]), array([ 8.97800000e-01, 4.19420000e+00, 8.18740000e+00, 5.80220000e+00,\n", - " 3.08200000e-01, 5.62800000e-01, 3.75200000e-01, 7.90600000e-01,\n", - " 1.29980000e+00, 2.01000000e-01, 7.90600000e-01, 6.29800000e-01,\n", - " 1.40968000e+01, 5.36000000e-02, 1.87600000e-01, 1.20600000e-01,\n", - " 7.03500000e+00, 5.06520000e+00, 7.63800000e-01, 1.19260000e+00,\n", - " 2.81400000e-01, 1.47400000e-01, 8.04000000e-02, 0.00000000e+00,\n", - " 2.68000000e-01, 8.84400000e-01, 6.70000000e-02, 5.15900000e+00,\n", - " 1.00500000e+00, 4.14060000e+00, 2.19760000e+00, 1.67500000e+00,\n", - " 1.84920000e+00, 8.04000000e-02, 0.00000000e+00, 9.38000000e-02,\n", - " 1.04520000e+00, 4.82400000e-01, 2.41200000e-01, 1.74200000e-01,\n", - " 6.03000000e-01, 5.62800000e-01, 1.51420000e+00, 3.18920000e+00,\n", - " 5.09200000e-01, 5.29300000e+00, 1.67500000e+00, 6.74020000e+00,\n", - " 8.44200000e-01, 2.35572000e+01, 1.47400000e-01, 1.87600000e-01,\n", - " 6.16400000e-01, 4.42200000e-01, 9.91600000e-01, 2.41200000e-01,\n", - " 8.84400000e-01, 7.04840000e+00, 1.22342000e+01, 3.28300000e+00,\n", - " 2.29140000e+00, 2.01000000e+00, 8.04000000e-01, 3.43040000e+00,\n", - " 4.15400000e-01, 3.35000000e-01, 3.26960000e+00, 2.78720000e+00,\n", - " 1.34000000e-01, 0.00000000e+00, 6.16400000e-01, 6.29800000e-01,\n", - " 5.36000000e-02, 1.47400000e-01, 1.12560000e+00, 2.30480000e+00,\n", - " 1.36680000e+00, 4.42200000e-01, 4.55600000e-01, 3.37680000e+00,\n", - " 7.85240000e+00, 6.98140000e+00, 1.52760000e+00, 2.46560000e+00,\n", - " 2.88100000e+00, 3.21600000e+00, 3.61800000e-01, 7.50400000e-01,\n", - " 1.34000000e-01, 1.60800000e-01, 2.41200000e-01, 0.00000000e+00,\n", - " 6.70000000e-02, 1.87600000e-01, 2.72020000e+00, 7.10200000e-01,\n", - " 8.04000000e-02, 0.00000000e+00, 2.01000000e-01, 2.18420000e+00,\n", - " 1.74200000e+00, 6.21760000e+00, 8.14720000e+00, 1.51420000e+00,\n", - " 2.41200000e-01, 1.20600000e-01, 6.29800000e-01, 1.20600000e-01,\n", - " 3.60460000e+00, 2.80060000e+00, 8.57600000e-01, 6.96800000e-01,\n", - " 7.30300000e+00, 1.47400000e+00, 0.00000000e+00, 3.52420000e+00,\n", - " 2.31820000e+00, 1.14436000e+01, 1.84920000e+00, 5.48060000e+00,\n", - " 1.13900000e+00, 1.55440000e+00, 4.24780000e+00, 7.12880000e+00,\n", - " 6.37840000e+00, 1.27702000e+01, 1.90280000e+00, 8.17400000e-01,\n", - " 5.42700000e+00, 6.72680000e+00, 2.29140000e+00, 1.25960000e+00,\n", - " 2.68000000e-01, 1.07200000e+00, 1.99660000e+00, 1.39360000e+00,\n", - " 1.17920000e+00, 3.48400000e+00, 9.91600000e-01, 3.35000000e-01,\n", - " 6.65980000e+00, 5.66820000e+00, 4.97140000e+00, 5.19920000e+00,\n", - " 7.90600000e-01, 8.97800000e-01, 1.74200000e-01, 4.69000000e-01,\n", - " 9.64800000e-01, 1.84920000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.33062000e+01, 1.93496000e+01, 4.20090000e+01, 1.09880000e+00,\n", - " 1.20600000e+00, 6.56600000e-01, 1.47400000e-01, 1.60800000e-01,\n", - " 4.02000000e-01, 3.48400000e-01, 2.15740000e+00, 1.96980000e+00,\n", - " 1.84920000e+00, 5.36000000e-01, 1.38824000e+01, 2.54198000e+01,\n", - " 3.88600000e-01, 3.35000000e-01, 8.97800000e-01, 3.61800000e-01,\n", - " 4.02000000e-01, 9.51400000e-01, 1.79560000e+00, 6.43200000e-01,\n", - " 9.11200000e-01, 9.38000000e-01, 1.20600000e-01, 2.29140000e+00,\n", - " 2.94800000e-01, 7.10200000e-01, 8.44200000e-01, 2.18420000e+00,\n", - " 1.70180000e+00, 1.47400000e-01, 2.53260000e+00, 7.63800000e-01,\n", - " 5.49400000e-01, 6.03000000e-01, 1.42040000e+00, 7.23600000e-01,\n", - " 1.56780000e+00, 8.04000000e-02, 7.37000000e-01, 4.55600000e-01,\n", - " 6.43200000e-01, 2.27800000e-01, 2.62506000e+01, 6.70000000e-01,\n", - " 5.89600000e-01, 2.68000000e+01, 9.64800000e-01, 1.74200000e-01,\n", - " 0.00000000e+00, 1.74200000e-01, 8.04000000e-02, 6.70000000e-01,\n", - " 9.24600000e-01, 1.87600000e-01, 7.10200000e-01, 8.84400000e+00,\n", - " 5.64140000e+00, 6.82060000e+00, 2.37984000e+01, 2.06628000e+01,\n", - " 5.62800000e-01, 3.21600000e-01, 5.41360000e+00, 3.48400000e+00,\n", - " 1.17786000e+01, 8.36160000e+00, 1.20600000e-01, 2.94800000e+00,\n", - " 8.44200000e-01, 1.19662000e+01, 6.70000000e-02, 9.38000000e-02,\n", - " 1.47400000e-01, 6.70000000e-02, 4.22100000e+00, 3.33660000e+00,\n", - " 3.35000000e+00, 1.05190000e+01, 5.49400000e-01, 1.34000000e-01,\n", - " 5.23940000e+00, 1.74200000e-01, 5.49400000e-01, 8.45540000e+00,\n", - " 5.76200000e-01, 5.36000000e-01, 5.09200000e-01, 5.89600000e-01,\n", - " 3.08200000e-01, 6.84740000e+00, 3.88600000e+00, 1.20600000e+00,\n", - " 1.83580000e+00, 6.43200000e-01, 1.20600000e-01, 3.43040000e+00,\n", - " 2.14400000e+00, 4.89100000e+00, 4.82400000e-01, 8.57600000e-01,\n", - " 3.08200000e-01, 4.95800000e-01, 1.00500000e+00, 3.84580000e+00,\n", - " 1.08540000e+00, 3.95300000e+00, 1.51420000e+00, 5.62800000e-01,\n", - " 1.17920000e+00, 2.02340000e+00, 3.37680000e+00, 9.21920000e+00,\n", - " 1.03180000e+00, 4.89100000e+00, 4.55600000e-01, 4.42200000e-01,\n", - " 1.20600000e+00, 2.45220000e+00, 9.38000000e-01, 2.78720000e+00,\n", - " 1.87600000e-01, 6.29800000e-01, 3.48400000e+00, 1.82240000e+00,\n", - " 2.27800000e-01, 4.15400000e-01, 1.46060000e+00, 8.44200000e-01,\n", - " 1.59460000e+00, 1.07200000e+00, 1.47400000e-01, 4.69000000e-01,\n", - " 1.07200000e-01, 1.34000000e-02, 5.44040000e+00, 7.27620000e+00,\n", - " 3.48400000e-01, 2.54600000e-01, 1.60934000e+01, 7.26280000e+00,\n", - " 1.38020000e+00, 5.44040000e+00, 8.44200000e-01, 2.84080000e+00,\n", - " 3.75200000e-01, 3.35000000e-01, 3.79220000e+00, 4.55600000e-01,\n", - " 1.74200000e-01, 2.63980000e+00, 1.48740000e+00, 6.96800000e-01,\n", - " 6.13720000e+00, 2.14400000e-01, 4.95800000e-01, 2.54600000e-01,\n", - " 3.61800000e-01, 1.34000000e-01, 8.37500000e+00, 4.36840000e+00,\n", - " 4.95800000e-01, 2.27800000e-01, 3.56440000e+00, 3.75200000e-01,\n", - " 1.78220000e+00, 1.34000000e-02, 1.64820000e+00, 2.11720000e+00,\n", - " 6.03000000e-01, 1.99660000e+00, 3.35000000e-01, 1.06530000e+01,\n", - " 4.55600000e-01, 4.42200000e-01, 4.15400000e-01, 1.53296000e+01,\n", - " 4.69000000e-01, 1.11220000e+00, 1.20600000e-01, 6.70000000e-02,\n", - " 3.71180000e+00, 1.32660000e+00, 1.07200000e-01, 0.00000000e+00,\n", - " 4.71680000e+00, 2.43880000e+00, 7.02160000e+00, 3.05520000e+00,\n", - " 8.04000000e-02, 5.36000000e-02, 4.02000000e-01, 1.82240000e+00,\n", - " 2.15740000e+00, 3.35000000e-01, 0.00000000e+00, 1.20600000e-01,\n", - " 1.25960000e+00, 2.41200000e-01, 4.28800000e-01, 7.10200000e-01,\n", - " 4.70340000e+00, 3.08200000e+00, 9.38000000e-02, 3.21600000e-01,\n", - " 1.74200000e-01, 1.34000000e-01, 1.34000000e-01, 4.02000000e-01,\n", - " 4.02000000e-01, 5.15900000e+00, 4.91780000e+00, 3.75200000e-01,\n", - " 5.22600000e-01, 2.01000000e-01, 1.47400000e-01, 4.42200000e-01,\n", - " 1.34000000e-01, 1.34000000e-01, 9.11200000e-01, 6.96800000e-01,\n", - " 9.51400000e-01, 1.19260000e+00, 1.01706000e+01, 2.09040000e+00,\n", - " 1.84920000e+00, 1.92960000e+00, 3.60460000e+00, 2.68000000e-01,\n", - " 1.74200000e+00, 4.97140000e+00, 3.48400000e-01, 1.41504000e+01,\n", - " 1.05994000e+01, 6.49900000e+00, 7.23600000e-01, 2.01000000e-01,\n", - " 1.18590000e+01, 3.00160000e+00, 4.99820000e+00, 1.09880000e+00,\n", - " 2.54600000e-01, 4.10040000e+00, 3.29640000e+00, 1.34000000e-01,\n", - " 5.36000000e-02, 4.02000000e-02, 1.20600000e+00, 5.36000000e-02,\n", - " 5.58780000e+00, 1.19796000e+01, 5.36000000e-01, 1.09880000e+00,\n", - " 2.46560000e+00, 6.70000000e-02, 3.08200000e-01, 3.61800000e+00,\n", - " 3.88600000e-01, 6.43200000e-01, 1.38020000e+00, 7.51740000e+00,\n", - " 4.14060000e+00, 8.57600000e-01, 1.35340000e+00, 1.79560000e+00,\n", - " 2.01000000e-01, 9.11200000e-01, 1.15240000e+00, 4.82400000e-01,\n", - " 6.70000000e-02, 7.23600000e-01, 3.48400000e-01, 3.35000000e-01,\n", - " 7.63800000e-01, 9.51400000e-01, 1.40700000e+00, 3.75200000e-01,\n", - " 4.02000000e-02, 5.09200000e-01, 6.47220000e+00, 3.61800000e-01,\n", - " 3.16240000e+00, 3.21600000e-01, 1.15240000e+00, 6.56600000e+00,\n", - " 1.03046000e+01, 2.30480000e+00, 4.39520000e+00, 5.09200000e-01,\n", - " 4.69000000e-01, 3.35000000e-01, 2.45220000e+00, 4.02000000e-01,\n", - " 4.28800000e-01, 2.41200000e-01, 6.70000000e-01, 6.43200000e-01,\n", - " 6.83400000e+00, 1.96980000e+00, 7.77200000e-01, 1.34000000e-02,\n", - " 6.56600000e-01, 2.47900000e+00, 2.85420000e+00, 2.68000000e+00,\n", - " 2.54600000e-01, 9.91600000e-01, 1.87600000e+00, 3.35000000e-01,\n", - " 8.44200000e-01, 5.09200000e-01, 2.27800000e-01, 3.75200000e-01,\n", - " 8.17400000e-01, 6.29800000e-01, 5.49400000e-01, 1.07200000e-01,\n", - " 4.03340000e+00, 5.13220000e+00, 2.01000000e-01, 2.14400000e-01,\n", - " 4.69000000e-01, 1.49812000e+01, 8.10700000e+00, 1.74200000e-01,\n", - " 5.72180000e+00, 2.97480000e+00, 1.34000000e-02, 5.76200000e-01,\n", - " 3.21600000e-01, 2.73360000e+00, 4.02000000e+00, 5.52080000e+00,\n", - " 3.75200000e-01, 1.07334000e+01, 1.83580000e+00, 7.77200000e+00,\n", - " 1.00500000e+00, 1.40700000e+00, 5.98980000e+00, 4.52920000e+00,\n", - " 1.86260000e+00, 2.13060000e+00, 0.00000000e+00, 1.34000000e+00,\n", - " 1.19260000e+00, 1.60800000e-01, 8.04000000e-02, 1.47400000e-01,\n", - " 2.27800000e-01, 4.28800000e-01, 8.84400000e-01, 6.03000000e-01,\n", - " 5.09200000e-01, 2.39860000e+00, 2.61300000e+00, 5.36000000e-02,\n", - " 5.22600000e-01, 7.23600000e-01, 3.21600000e-01, 4.95800000e-01,\n", - " 2.68000000e-01, 8.71000000e-01, 2.23780000e+00, 3.21600000e-01,\n", - " 2.54600000e-01, 1.46864000e+01, 5.76200000e-01, 4.95800000e-01,\n", - " 4.28800000e-01, 2.74700000e+00, 6.29800000e-01, 2.27800000e-01,\n", - " 1.92960000e+00, 5.09200000e-01, 3.55100000e+00, 9.38000000e-01,\n", - " 8.02660000e+00, 5.80220000e+00, 5.49400000e+00, 4.95800000e-01,\n", - " 5.36000000e-02, 6.29800000e-01, 1.47400000e-01, 3.61800000e-01,\n", - " 7.45040000e+00, 3.88600000e-01, 4.02000000e-02, 2.14400000e-01,\n", - " 4.98480000e+00, 1.25960000e+00, 2.94800000e-01, 1.01840000e+00,\n", - " 4.93120000e+00, 8.95120000e+00, 1.64016000e+01, 1.90280000e+00,\n", - " 8.62960000e+00, 1.15910000e+01, 1.00500000e+00, 5.22600000e-01,\n", - " 1.40700000e+00, 1.96712000e+01, 1.05056000e+01, 5.36000000e-02,\n", - " 6.03000000e-01, 8.84400000e-01, 3.75200000e-01, 1.71520000e+00,\n", - " 7.77200000e-01, 1.34000000e+00, 1.48740000e+00, 7.91940000e+00,\n", - " 1.86260000e+00, 1.07200000e-01, 2.25120000e+00, 3.55100000e+00,\n", - " 2.13060000e+00, 1.86260000e+00, 1.20600000e-01, 1.03180000e+00,\n", - " 6.29800000e-01, 2.27800000e-01, 1.20600000e-01, 9.90260000e+00,\n", - " 7.23600000e-01, 2.81400000e-01, 9.38000000e-01, 1.79560000e+00,\n", - " 1.05994000e+01, 5.92280000e+00, 9.24600000e-01, 1.28640000e+00,\n", - " 5.19920000e+00, 7.37000000e-01, 1.25960000e+00, 4.02000000e+00,\n", - " 3.40360000e+00, 4.95800000e-01, 6.17740000e+00, 5.62800000e-01,\n", - " 1.23012000e+01, 6.56600000e-01, 1.96980000e+00, 9.38000000e-02,\n", - " 6.70000000e-02, 1.74200000e-01, 1.01840000e+00, 6.83400000e-01,\n", - " 1.09880000e+00, 6.03000000e-01, 4.69000000e-01, 5.76200000e-01,\n", - " 2.02340000e+00, 6.96800000e-01, 2.81400000e-01, 2.68000000e+00,\n", - " 2.27800000e-01, 8.60280000e+00, 2.07700000e+00, 2.11720000e+00,\n", - " 4.95800000e-01, 7.77200000e-01, 2.94800000e-01, 9.56760000e+00,\n", - " 3.75200000e-01, 1.74200000e-01, 1.99660000e+00, 1.77416000e+01,\n", - " 2.68000000e-01, 4.28800000e-01, 5.36000000e-02, 8.20080000e+00,\n", - " 1.34000000e-01, 1.84920000e+00, 2.68000000e-01, 7.38340000e+00,\n", - " 3.00160000e+00, 1.20600000e-01, 2.68000000e-02, 4.95800000e+00,\n", - " 9.38000000e-02, 8.17400000e-01, 2.73360000e+00, 7.23600000e-01,\n", - " 3.30980000e+00, 1.11220000e+00, 2.35840000e+00, 3.75200000e-01,\n", - " 6.96800000e-01, 1.20600000e-01, 1.01974000e+01, 1.04520000e+01,\n", - " 2.26460000e+00, 5.56100000e+00, 1.14168000e+01, 4.42200000e-01,\n", - " 6.70000000e-02, 2.27800000e-01, 4.69000000e-01, 6.03000000e-01,\n", - " 2.01000000e-01, 8.04000000e-02, 4.42200000e-01, 1.07200000e+00,\n", - " 1.48740000e+00, 4.42200000e-01, 2.41200000e-01, 2.27800000e-01,\n", - " 3.08200000e-01, 4.02000000e-02, 9.91600000e-01, 5.09200000e-01,\n", - " 2.41200000e-01, 1.24620000e+00, 1.07200000e-01, 1.91620000e+00,\n", - " 3.26960000e+00, 1.19260000e+00, 3.10880000e+00, 5.64140000e+00,\n", - " 1.78220000e+00, 8.57600000e+00, 9.38000000e-01, 1.64820000e+00,\n", - " 3.21600000e+00, 1.29980000e+00, 6.16400000e-01, 7.77200000e-01,\n", - " 3.48400000e-01, 4.42200000e-01, 1.34000000e-02, 4.95800000e-01,\n", - " 2.27800000e-01, 1.20600000e-01, 5.49400000e-01, 2.50580000e+00,\n", - " 5.89600000e-01, 4.82400000e-01, 2.01000000e-01, 8.71000000e-01,\n", - " 5.73520000e+00, 2.42540000e+00, 6.56600000e-01, 1.59460000e+00,\n", - " 4.69000000e-01, 1.17920000e+01, 8.30800000e-01, 4.00660000e+00,\n", - " 8.04000000e-01, 1.01840000e+00, 4.15400000e-01, 1.17920000e+00,\n", - " 6.16400000e-01, 4.42200000e-01, 1.50080000e+00, 8.04000000e-02,\n", - " 2.41200000e-01, 6.29800000e-01, 4.69000000e-01, 6.16400000e-01,\n", - " 1.74200000e-01, 8.97800000e-01, 5.36000000e+00, 1.54100000e+00,\n", - " 2.42540000e+00, 1.46060000e+00, 8.44200000e-01, 1.84920000e+00,\n", - " 6.17740000e+00, 4.70340000e+00, 3.48400000e-01, 1.39360000e+00,\n", - " 7.10200000e-01, 9.24600000e-01, 2.09040000e+00, 3.97980000e+00,\n", - " 4.02000000e-02, 6.70000000e-02, 4.73020000e+00, 4.87760000e+00,\n", - " 7.50400000e-01, 9.38000000e-02, 5.22600000e-01, 3.48400000e-01,\n", - " 4.02000000e-02, 9.38000000e-02, 4.02000000e-01, 4.69000000e-01,\n", - " 5.31980000e+00, 2.57280000e+00, 2.81400000e-01, 7.90600000e-01,\n", - " 5.52080000e+00, 3.21600000e-01, 1.00232000e+01, 4.82400000e-01,\n", - " 7.22260000e+00, 6.56600000e-01, 2.85420000e+00, 5.36000000e-02,\n", - " 1.74200000e-01, 4.55600000e-01, 1.87600000e-01, 3.04180000e+00,\n", - " 1.84920000e+00, 1.46060000e+00, 2.14400000e-01, 5.76200000e-01,\n", - " 4.02000000e-02, 2.46560000e+00, 6.83400000e-01, 8.04000000e-02,\n", - " 1.12560000e+00, 3.92620000e+00, 1.39360000e+00, 1.34000000e-02,\n", - " 5.81560000e+00, 4.02000000e-01, 4.10040000e+00, 6.70000000e-02,\n", - " 4.02000000e-02, 5.22600000e-01, 2.43880000e+00, 3.75200000e-01,\n", - " 1.01840000e+00, 2.37180000e+00, 1.20600000e-01, 1.60800000e-01,\n", - " 8.46880000e+00, 5.36000000e-02, 5.36000000e-02, 4.28800000e-01,\n", - " 4.95800000e-01, 4.28800000e-01, 1.47400000e-01, 7.23600000e-01,\n", - " 6.16400000e-01, 8.57600000e-01, 6.43200000e-01, 1.84920000e+00,\n", - " 3.33660000e+00, 2.54600000e-01, 1.34000000e-01, 3.48400000e-01,\n", - " 5.76200000e-01, 5.89600000e-01, 1.92960000e+00, 2.27800000e-01,\n", - " 1.20600000e-01, 6.56600000e-01, 3.41700000e+00, 1.11220000e+00,\n", - " 6.29800000e-01, 2.37448000e+01, 2.68000000e-02, 2.94800000e-01,\n", - " 2.81400000e-01, 8.04000000e-02, 9.38000000e-02, 1.20600000e-01,\n", - " 1.07200000e-01, 7.77200000e-01, 1.87600000e-01, 2.49240000e+00,\n", - " 1.28908000e+01, 7.37000000e-01, 2.54600000e-01, 8.71000000e-01,\n", - " 4.64980000e+00, 3.61800000e-01, 2.27800000e-01, 1.00500000e+00,\n", - " 2.01000000e-01, 1.16580000e+00, 1.98320000e+00, 1.62140000e+00,\n", - " 1.47400000e-01, 7.50400000e-01, 5.22600000e-01, 3.88600000e-01,\n", - " 6.29800000e-01, 3.51080000e+00, 7.50400000e-01, 1.21940000e+00,\n", - " 1.98320000e+00, 2.41200000e+00, 1.87600000e-01, 5.36000000e-01,\n", - " 2.22440000e+00, 2.03680000e+00, 7.26280000e+00, 1.74200000e-01,\n", - " 2.66660000e+00, 3.21600000e-01, 7.90600000e-01, 1.11220000e+00,\n", - " 2.68000000e-01, 1.11220000e+00, 4.02000000e-01, 3.35000000e-01,\n", - " 9.38000000e-01, 1.05860000e+00, 2.41200000e-01, 1.07200000e-01,\n", - " 8.57600000e-01, 1.51420000e+00, 9.51400000e-01, 6.29800000e-01,\n", - " 3.61800000e-01, 4.02000000e-02, 1.52760000e+00, 4.30140000e+00,\n", - " 5.76200000e-01, 2.94800000e-01, 1.34000000e-02, 8.84400000e-01,\n", - " 6.29800000e-01, 2.01000000e-01, 2.41200000e-01, 1.05860000e+00,\n", - " 3.21600000e-01, 6.86080000e+00, 6.29800000e-01, 2.41200000e-01,\n", - " 0.00000000e+00, 1.36680000e+00, 3.21600000e-01, 4.28800000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.58736948e+03, -2.52731782e+03, -9.87986094e+01, -4.59429611e+01,\n", - " 0.00000000e+00, -9.08956159e+01, -2.82311432e+02, 0.00000000e+00,\n", - " 0.00000000e+00, 5.58454109e+00, -2.28755364e+02, -1.47909158e+00,\n", - " 0.00000000e+00, 3.15058763e+03, -3.47989000e+03]), array([ 8.97800000e-01, 4.19420000e+00, 8.18740000e+00, 5.80220000e+00,\n", - " 3.08200000e-01, 5.62800000e-01, 3.75200000e-01, 7.90600000e-01,\n", - " 1.29980000e+00, 2.01000000e-01, 7.90600000e-01, 6.29800000e-01,\n", - " 1.40968000e+01, 5.36000000e-02, 1.87600000e-01, 1.20600000e-01,\n", - " 7.03500000e+00, 5.06520000e+00, 7.63800000e-01, 1.19260000e+00,\n", - " 2.81400000e-01, 1.47400000e-01, 8.04000000e-02, 0.00000000e+00,\n", - " 2.68000000e-01, 8.84400000e-01, 6.70000000e-02, 5.15900000e+00,\n", - " 1.00500000e+00, 4.14060000e+00, 2.19760000e+00, 1.67500000e+00,\n", - " 1.84920000e+00, 8.04000000e-02, 0.00000000e+00, 9.38000000e-02,\n", - " 1.04520000e+00, 4.82400000e-01, 2.41200000e-01, 1.74200000e-01,\n", - " 6.03000000e-01, 5.62800000e-01, 1.51420000e+00, 3.18920000e+00,\n", - " 5.09200000e-01, 5.29300000e+00, 1.67500000e+00, 6.74020000e+00,\n", - " 8.44200000e-01, 2.35572000e+01, 1.47400000e-01, 1.87600000e-01,\n", - " 6.16400000e-01, 4.42200000e-01, 9.91600000e-01, 2.41200000e-01,\n", - " 8.84400000e-01, 7.04840000e+00, 1.22342000e+01, 3.28300000e+00,\n", - " 2.29140000e+00, 2.01000000e+00, 8.04000000e-01, 3.43040000e+00,\n", - " 4.15400000e-01, 3.35000000e-01, 3.26960000e+00, 2.78720000e+00,\n", - " 1.34000000e-01, 0.00000000e+00, 6.16400000e-01, 6.29800000e-01,\n", - " 5.36000000e-02, 1.47400000e-01, 1.12560000e+00, 2.30480000e+00,\n", - " 1.36680000e+00, 4.42200000e-01, 4.55600000e-01, 3.37680000e+00,\n", - " 7.85240000e+00, 6.98140000e+00, 1.52760000e+00, 2.46560000e+00,\n", - " 2.88100000e+00, 3.21600000e+00, 3.61800000e-01, 7.50400000e-01,\n", - " 1.34000000e-01, 1.60800000e-01, 2.41200000e-01, 0.00000000e+00,\n", - " 6.70000000e-02, 1.87600000e-01, 2.72020000e+00, 7.10200000e-01,\n", - " 8.04000000e-02, 0.00000000e+00, 2.01000000e-01, 2.18420000e+00,\n", - " 1.74200000e+00, 6.21760000e+00, 8.14720000e+00, 1.51420000e+00,\n", - " 2.41200000e-01, 1.20600000e-01, 6.29800000e-01, 1.20600000e-01,\n", - " 3.60460000e+00, 2.80060000e+00, 8.57600000e-01, 6.96800000e-01,\n", - " 7.30300000e+00, 1.47400000e+00, 0.00000000e+00, 3.52420000e+00,\n", - " 2.31820000e+00, 1.14436000e+01, 1.84920000e+00, 5.48060000e+00,\n", - " 1.13900000e+00, 1.55440000e+00, 4.24780000e+00, 7.12880000e+00,\n", - " 6.37840000e+00, 1.27702000e+01, 1.90280000e+00, 8.17400000e-01,\n", - " 5.42700000e+00, 6.72680000e+00, 2.29140000e+00, 1.25960000e+00,\n", - " 2.68000000e-01, 1.07200000e+00, 1.99660000e+00, 1.39360000e+00,\n", - " 1.17920000e+00, 3.48400000e+00, 9.91600000e-01, 3.35000000e-01,\n", - " 6.65980000e+00, 5.66820000e+00, 4.97140000e+00, 5.19920000e+00,\n", - " 7.90600000e-01, 8.97800000e-01, 1.74200000e-01, 4.69000000e-01,\n", - " 9.64800000e-01, 1.84920000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.33062000e+01, 1.93496000e+01, 4.20090000e+01, 1.09880000e+00,\n", - " 1.20600000e+00, 6.56600000e-01, 1.47400000e-01, 1.60800000e-01,\n", - " 4.02000000e-01, 3.48400000e-01, 2.15740000e+00, 1.96980000e+00,\n", - " 1.84920000e+00, 5.36000000e-01, 1.38824000e+01, 2.54198000e+01,\n", - " 3.88600000e-01, 3.35000000e-01, 8.97800000e-01, 3.61800000e-01,\n", - " 4.02000000e-01, 9.51400000e-01, 1.79560000e+00, 6.43200000e-01,\n", - " 9.11200000e-01, 9.38000000e-01, 1.20600000e-01, 2.29140000e+00,\n", - " 2.94800000e-01, 7.10200000e-01, 8.44200000e-01, 2.18420000e+00,\n", - " 1.70180000e+00, 1.47400000e-01, 2.53260000e+00, 7.63800000e-01,\n", - " 5.49400000e-01, 6.03000000e-01, 1.42040000e+00, 7.23600000e-01,\n", - " 1.56780000e+00, 8.04000000e-02, 7.37000000e-01, 4.55600000e-01,\n", - " 6.43200000e-01, 2.27800000e-01, 2.62506000e+01, 6.70000000e-01,\n", - " 5.89600000e-01, 2.68000000e+01, 9.64800000e-01, 1.74200000e-01,\n", - " 0.00000000e+00, 1.74200000e-01, 8.04000000e-02, 6.70000000e-01,\n", - " 9.24600000e-01, 1.87600000e-01, 7.10200000e-01, 8.84400000e+00,\n", - " 5.64140000e+00, 6.82060000e+00, 2.37984000e+01, 2.06628000e+01,\n", - " 5.62800000e-01, 3.21600000e-01, 5.41360000e+00, 3.48400000e+00,\n", - " 1.17786000e+01, 8.36160000e+00, 1.20600000e-01, 2.94800000e+00,\n", - " 8.44200000e-01, 1.19662000e+01, 6.70000000e-02, 9.38000000e-02,\n", - " 1.47400000e-01, 6.70000000e-02, 4.22100000e+00, 3.33660000e+00,\n", - " 3.35000000e+00, 1.05190000e+01, 5.49400000e-01, 1.34000000e-01,\n", - " 5.23940000e+00, 1.74200000e-01, 5.49400000e-01, 8.45540000e+00,\n", - " 5.76200000e-01, 5.36000000e-01, 5.09200000e-01, 5.89600000e-01,\n", - " 3.08200000e-01, 6.84740000e+00, 3.88600000e+00, 1.20600000e+00,\n", - " 1.83580000e+00, 6.43200000e-01, 1.20600000e-01, 3.43040000e+00,\n", - " 2.14400000e+00, 4.89100000e+00, 4.82400000e-01, 8.57600000e-01,\n", - " 3.08200000e-01, 4.95800000e-01, 1.00500000e+00, 3.84580000e+00,\n", - " 1.08540000e+00, 3.95300000e+00, 1.51420000e+00, 5.62800000e-01,\n", - " 1.17920000e+00, 2.02340000e+00, 3.37680000e+00, 9.21920000e+00,\n", - " 1.03180000e+00, 4.89100000e+00, 4.55600000e-01, 4.42200000e-01,\n", - " 1.20600000e+00, 2.45220000e+00, 9.38000000e-01, 2.78720000e+00,\n", - " 1.87600000e-01, 6.29800000e-01, 3.48400000e+00, 1.82240000e+00,\n", - " 2.27800000e-01, 4.15400000e-01, 1.46060000e+00, 8.44200000e-01,\n", - " 1.59460000e+00, 1.07200000e+00, 1.47400000e-01, 4.69000000e-01,\n", - " 1.07200000e-01, 1.34000000e-02, 5.44040000e+00, 7.27620000e+00,\n", - " 3.48400000e-01, 2.54600000e-01, 1.60934000e+01, 7.26280000e+00,\n", - " 1.38020000e+00, 5.44040000e+00, 8.44200000e-01, 2.84080000e+00,\n", - " 3.75200000e-01, 3.35000000e-01, 3.79220000e+00, 4.55600000e-01,\n", - " 1.74200000e-01, 2.63980000e+00, 1.48740000e+00, 6.96800000e-01,\n", - " 6.13720000e+00, 2.14400000e-01, 4.95800000e-01, 2.54600000e-01,\n", - " 3.61800000e-01, 1.34000000e-01, 8.37500000e+00, 4.36840000e+00,\n", - " 4.95800000e-01, 2.27800000e-01, 3.56440000e+00, 3.75200000e-01,\n", - " 1.78220000e+00, 1.34000000e-02, 1.64820000e+00, 2.11720000e+00,\n", - " 6.03000000e-01, 1.99660000e+00, 3.35000000e-01, 1.06530000e+01,\n", - " 4.55600000e-01, 4.42200000e-01, 4.15400000e-01, 1.53296000e+01,\n", - " 4.69000000e-01, 1.11220000e+00, 1.20600000e-01, 6.70000000e-02,\n", - " 3.71180000e+00, 1.32660000e+00, 1.07200000e-01, 0.00000000e+00,\n", - " 4.71680000e+00, 2.43880000e+00, 7.02160000e+00, 3.05520000e+00,\n", - " 8.04000000e-02, 5.36000000e-02, 4.02000000e-01, 1.82240000e+00,\n", - " 2.15740000e+00, 3.35000000e-01, 0.00000000e+00, 1.20600000e-01,\n", - " 1.25960000e+00, 2.41200000e-01, 4.28800000e-01, 7.10200000e-01,\n", - " 4.70340000e+00, 3.08200000e+00, 9.38000000e-02, 3.21600000e-01,\n", - " 1.74200000e-01, 1.34000000e-01, 1.34000000e-01, 4.02000000e-01,\n", - " 4.02000000e-01, 5.15900000e+00, 4.91780000e+00, 3.75200000e-01,\n", - " 5.22600000e-01, 2.01000000e-01, 1.47400000e-01, 4.42200000e-01,\n", - " 1.34000000e-01, 1.34000000e-01, 9.11200000e-01, 6.96800000e-01,\n", - " 9.51400000e-01, 1.19260000e+00, 1.01706000e+01, 2.09040000e+00,\n", - " 1.84920000e+00, 1.92960000e+00, 3.60460000e+00, 2.68000000e-01,\n", - " 1.74200000e+00, 4.97140000e+00, 3.48400000e-01, 1.41504000e+01,\n", - " 1.05994000e+01, 6.49900000e+00, 7.23600000e-01, 2.01000000e-01,\n", - " 1.18590000e+01, 3.00160000e+00, 4.99820000e+00, 1.09880000e+00,\n", - " 2.54600000e-01, 4.10040000e+00, 3.29640000e+00, 1.34000000e-01,\n", - " 5.36000000e-02, 4.02000000e-02, 1.20600000e+00, 5.36000000e-02,\n", - " 5.58780000e+00, 1.19796000e+01, 5.36000000e-01, 1.09880000e+00,\n", - " 2.46560000e+00, 6.70000000e-02, 3.08200000e-01, 3.61800000e+00,\n", - " 3.88600000e-01, 6.43200000e-01, 1.38020000e+00, 7.51740000e+00,\n", - " 4.14060000e+00, 8.57600000e-01, 1.35340000e+00, 1.79560000e+00,\n", - " 2.01000000e-01, 9.11200000e-01, 1.15240000e+00, 4.82400000e-01,\n", - " 6.70000000e-02, 7.23600000e-01, 3.48400000e-01, 3.35000000e-01,\n", - " 7.63800000e-01, 9.51400000e-01, 1.40700000e+00, 3.75200000e-01,\n", - " 4.02000000e-02, 5.09200000e-01, 6.47220000e+00, 3.61800000e-01,\n", - " 3.16240000e+00, 3.21600000e-01, 1.15240000e+00, 6.56600000e+00,\n", - " 1.03046000e+01, 2.30480000e+00, 4.39520000e+00, 5.09200000e-01,\n", - " 4.69000000e-01, 3.35000000e-01, 2.45220000e+00, 4.02000000e-01,\n", - " 4.28800000e-01, 2.41200000e-01, 6.70000000e-01, 6.43200000e-01,\n", - " 6.83400000e+00, 1.96980000e+00, 7.77200000e-01, 1.34000000e-02,\n", - " 6.56600000e-01, 2.47900000e+00, 2.85420000e+00, 2.68000000e+00,\n", - " 2.54600000e-01, 9.91600000e-01, 1.87600000e+00, 3.35000000e-01,\n", - " 8.44200000e-01, 5.09200000e-01, 2.27800000e-01, 3.75200000e-01,\n", - " 8.17400000e-01, 6.29800000e-01, 5.49400000e-01, 1.07200000e-01,\n", - " 4.03340000e+00, 5.13220000e+00, 2.01000000e-01, 2.14400000e-01,\n", - " 4.69000000e-01, 1.49812000e+01, 8.10700000e+00, 1.74200000e-01,\n", - " 5.72180000e+00, 2.97480000e+00, 1.34000000e-02, 5.76200000e-01,\n", - " 3.21600000e-01, 2.73360000e+00, 4.02000000e+00, 5.52080000e+00,\n", - " 3.75200000e-01, 1.07334000e+01, 1.83580000e+00, 7.77200000e+00,\n", - " 1.00500000e+00, 1.40700000e+00, 5.98980000e+00, 4.52920000e+00,\n", - " 1.86260000e+00, 2.13060000e+00, 0.00000000e+00, 1.34000000e+00,\n", - " 1.19260000e+00, 1.60800000e-01, 8.04000000e-02, 1.47400000e-01,\n", - " 2.27800000e-01, 4.28800000e-01, 8.84400000e-01, 6.03000000e-01,\n", - " 5.09200000e-01, 2.39860000e+00, 2.61300000e+00, 5.36000000e-02,\n", - " 5.22600000e-01, 7.23600000e-01, 3.21600000e-01, 4.95800000e-01,\n", - " 2.68000000e-01, 8.71000000e-01, 2.23780000e+00, 3.21600000e-01,\n", - " 2.54600000e-01, 1.46864000e+01, 5.76200000e-01, 4.95800000e-01,\n", - " 4.28800000e-01, 2.74700000e+00, 6.29800000e-01, 2.27800000e-01,\n", - " 1.92960000e+00, 5.09200000e-01, 3.55100000e+00, 9.38000000e-01,\n", - " 8.02660000e+00, 5.80220000e+00, 5.49400000e+00, 4.95800000e-01,\n", - " 5.36000000e-02, 6.29800000e-01, 1.47400000e-01, 3.61800000e-01,\n", - " 7.45040000e+00, 3.88600000e-01, 4.02000000e-02, 2.14400000e-01,\n", - " 4.98480000e+00, 1.25960000e+00, 2.94800000e-01, 1.01840000e+00,\n", - " 4.93120000e+00, 8.95120000e+00, 1.64016000e+01, 1.90280000e+00,\n", - " 8.62960000e+00, 1.15910000e+01, 1.00500000e+00, 5.22600000e-01,\n", - " 1.40700000e+00, 1.96712000e+01, 1.05056000e+01, 5.36000000e-02,\n", - " 6.03000000e-01, 8.84400000e-01, 3.75200000e-01, 1.71520000e+00,\n", - " 7.77200000e-01, 1.34000000e+00, 1.48740000e+00, 7.91940000e+00,\n", - " 1.86260000e+00, 1.07200000e-01, 2.25120000e+00, 3.55100000e+00,\n", - " 2.13060000e+00, 1.86260000e+00, 1.20600000e-01, 1.03180000e+00,\n", - " 6.29800000e-01, 2.27800000e-01, 1.20600000e-01, 9.90260000e+00,\n", - " 7.23600000e-01, 2.81400000e-01, 9.38000000e-01, 1.79560000e+00,\n", - " 1.05994000e+01, 5.92280000e+00, 9.24600000e-01, 1.28640000e+00,\n", - " 5.19920000e+00, 7.37000000e-01, 1.25960000e+00, 4.02000000e+00,\n", - " 3.40360000e+00, 4.95800000e-01, 6.17740000e+00, 5.62800000e-01,\n", - " 1.23012000e+01, 6.56600000e-01, 1.96980000e+00, 9.38000000e-02,\n", - " 6.70000000e-02, 1.74200000e-01, 1.01840000e+00, 6.83400000e-01,\n", - " 1.09880000e+00, 6.03000000e-01, 4.69000000e-01, 5.76200000e-01,\n", - " 2.02340000e+00, 6.96800000e-01, 2.81400000e-01, 2.68000000e+00,\n", - " 2.27800000e-01, 8.60280000e+00, 2.07700000e+00, 2.11720000e+00,\n", - " 4.95800000e-01, 7.77200000e-01, 2.94800000e-01, 9.56760000e+00,\n", - " 3.75200000e-01, 1.74200000e-01, 1.99660000e+00, 1.77416000e+01,\n", - " 2.68000000e-01, 4.28800000e-01, 5.36000000e-02, 8.20080000e+00,\n", - " 1.34000000e-01, 1.84920000e+00, 2.68000000e-01, 7.38340000e+00,\n", - " 3.00160000e+00, 1.20600000e-01, 2.68000000e-02, 4.95800000e+00,\n", - " 9.38000000e-02, 8.17400000e-01, 2.73360000e+00, 7.23600000e-01,\n", - " 3.30980000e+00, 1.11220000e+00, 2.35840000e+00, 3.75200000e-01,\n", - " 6.96800000e-01, 1.20600000e-01, 1.01974000e+01, 1.04520000e+01,\n", - " 2.26460000e+00, 5.56100000e+00, 1.14168000e+01, 4.42200000e-01,\n", - " 6.70000000e-02, 2.27800000e-01, 4.69000000e-01, 6.03000000e-01,\n", - " 2.01000000e-01, 8.04000000e-02, 4.42200000e-01, 1.07200000e+00,\n", - " 1.48740000e+00, 4.42200000e-01, 2.41200000e-01, 2.27800000e-01,\n", - " 3.08200000e-01, 4.02000000e-02, 9.91600000e-01, 5.09200000e-01,\n", - " 2.41200000e-01, 1.24620000e+00, 1.07200000e-01, 1.91620000e+00,\n", - " 3.26960000e+00, 1.19260000e+00, 3.10880000e+00, 5.64140000e+00,\n", - " 1.78220000e+00, 8.57600000e+00, 9.38000000e-01, 1.64820000e+00,\n", - " 3.21600000e+00, 1.29980000e+00, 6.16400000e-01, 7.77200000e-01,\n", - " 3.48400000e-01, 4.42200000e-01, 1.34000000e-02, 4.95800000e-01,\n", - " 2.27800000e-01, 1.20600000e-01, 5.49400000e-01, 2.50580000e+00,\n", - " 5.89600000e-01, 4.82400000e-01, 2.01000000e-01, 8.71000000e-01,\n", - " 5.73520000e+00, 2.42540000e+00, 6.56600000e-01, 1.59460000e+00,\n", - " 4.69000000e-01, 1.17920000e+01, 8.30800000e-01, 4.00660000e+00,\n", - " 8.04000000e-01, 1.01840000e+00, 4.15400000e-01, 1.17920000e+00,\n", - " 6.16400000e-01, 4.42200000e-01, 1.50080000e+00, 8.04000000e-02,\n", - " 2.41200000e-01, 6.29800000e-01, 4.69000000e-01, 6.16400000e-01,\n", - " 1.74200000e-01, 8.97800000e-01, 5.36000000e+00, 1.54100000e+00,\n", - " 2.42540000e+00, 1.46060000e+00, 8.44200000e-01, 1.84920000e+00,\n", - " 6.17740000e+00, 4.70340000e+00, 3.48400000e-01, 1.39360000e+00,\n", - " 7.10200000e-01, 9.24600000e-01, 2.09040000e+00, 3.97980000e+00,\n", - " 4.02000000e-02, 6.70000000e-02, 4.73020000e+00, 4.87760000e+00,\n", - " 7.50400000e-01, 9.38000000e-02, 5.22600000e-01, 3.48400000e-01,\n", - " 4.02000000e-02, 9.38000000e-02, 4.02000000e-01, 4.69000000e-01,\n", - " 5.31980000e+00, 2.57280000e+00, 2.81400000e-01, 7.90600000e-01,\n", - " 5.52080000e+00, 3.21600000e-01, 1.00232000e+01, 4.82400000e-01,\n", - " 7.22260000e+00, 6.56600000e-01, 2.85420000e+00, 5.36000000e-02,\n", - " 1.74200000e-01, 4.55600000e-01, 1.87600000e-01, 3.04180000e+00,\n", - " 1.84920000e+00, 1.46060000e+00, 2.14400000e-01, 5.76200000e-01,\n", - " 4.02000000e-02, 2.46560000e+00, 6.83400000e-01, 8.04000000e-02,\n", - " 1.12560000e+00, 3.92620000e+00, 1.39360000e+00, 1.34000000e-02,\n", - " 5.81560000e+00, 4.02000000e-01, 4.10040000e+00, 6.70000000e-02,\n", - " 4.02000000e-02, 5.22600000e-01, 2.43880000e+00, 3.75200000e-01,\n", - " 1.01840000e+00, 2.37180000e+00, 1.20600000e-01, 1.60800000e-01,\n", - " 8.46880000e+00, 5.36000000e-02, 5.36000000e-02, 4.28800000e-01,\n", - " 4.95800000e-01, 4.28800000e-01, 1.47400000e-01, 7.23600000e-01,\n", - " 6.16400000e-01, 8.57600000e-01, 6.43200000e-01, 1.84920000e+00,\n", - " 3.33660000e+00, 2.54600000e-01, 1.34000000e-01, 3.48400000e-01,\n", - " 5.76200000e-01, 5.89600000e-01, 1.92960000e+00, 2.27800000e-01,\n", - " 1.20600000e-01, 6.56600000e-01, 3.41700000e+00, 1.11220000e+00,\n", - " 6.29800000e-01, 2.37448000e+01, 2.68000000e-02, 2.94800000e-01,\n", - " 2.81400000e-01, 8.04000000e-02, 9.38000000e-02, 1.20600000e-01,\n", - " 1.07200000e-01, 7.77200000e-01, 1.87600000e-01, 2.49240000e+00,\n", - " 1.28908000e+01, 7.37000000e-01, 2.54600000e-01, 8.71000000e-01,\n", - " 4.64980000e+00, 3.61800000e-01, 2.27800000e-01, 1.00500000e+00,\n", - " 2.01000000e-01, 1.16580000e+00, 1.98320000e+00, 1.62140000e+00,\n", - " 1.47400000e-01, 7.50400000e-01, 5.22600000e-01, 3.88600000e-01,\n", - " 6.29800000e-01, 3.51080000e+00, 7.50400000e-01, 1.21940000e+00,\n", - " 1.98320000e+00, 2.41200000e+00, 1.87600000e-01, 5.36000000e-01,\n", - " 2.22440000e+00, 2.03680000e+00, 7.26280000e+00, 1.74200000e-01,\n", - " 2.66660000e+00, 3.21600000e-01, 7.90600000e-01, 1.11220000e+00,\n", - " 2.68000000e-01, 1.11220000e+00, 4.02000000e-01, 3.35000000e-01,\n", - " 9.38000000e-01, 1.05860000e+00, 2.41200000e-01, 1.07200000e-01,\n", - " 8.57600000e-01, 1.51420000e+00, 9.51400000e-01, 6.29800000e-01,\n", - " 3.61800000e-01, 4.02000000e-02, 1.52760000e+00, 4.30140000e+00,\n", - " 5.76200000e-01, 2.94800000e-01, 1.34000000e-02, 8.84400000e-01,\n", - " 6.29800000e-01, 2.01000000e-01, 2.41200000e-01, 1.05860000e+00,\n", - " 3.21600000e-01, 6.86080000e+00, 6.29800000e-01, 2.41200000e-01,\n", - " 0.00000000e+00, 1.36680000e+00, 3.21600000e-01, 4.28800000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.58693355e+03, -2.52731782e+03, -9.87986101e+01, -4.61782888e+01,\n", - " 0.00000000e+00, -9.33432658e+01, -2.82311437e+02, 0.00000000e+00,\n", - " 0.00000000e+00, 5.37316146e+00, -2.26761233e+02, -6.68722494e+01,\n", - " 0.00000000e+00, -1.70068222e+03, 1.43810860e+03]), array([ 8.97800000e-01, 4.19420000e+00, 8.18740000e+00, 5.80220000e+00,\n", - " 3.08200000e-01, 5.62800000e-01, 3.75200000e-01, 7.90600000e-01,\n", - " 1.29980000e+00, 2.01000000e-01, 7.90600000e-01, 6.29800000e-01,\n", - " 1.40968000e+01, 5.36000000e-02, 1.87600000e-01, 1.20600000e-01,\n", - " 7.03500000e+00, 5.06520000e+00, 7.63800000e-01, 1.19260000e+00,\n", - " 2.81400000e-01, 1.47400000e-01, 8.04000000e-02, 0.00000000e+00,\n", - " 2.68000000e-01, 8.84400000e-01, 6.70000000e-02, 5.15900000e+00,\n", - " 1.00500000e+00, 4.14060000e+00, 2.19760000e+00, 1.67500000e+00,\n", - " 1.84920000e+00, 8.04000000e-02, 0.00000000e+00, 9.38000000e-02,\n", - " 1.04520000e+00, 4.82400000e-01, 2.41200000e-01, 1.74200000e-01,\n", - " 6.03000000e-01, 5.62800000e-01, 1.51420000e+00, 3.18920000e+00,\n", - " 5.09200000e-01, 5.29300000e+00, 1.67500000e+00, 6.74020000e+00,\n", - " 8.44200000e-01, 2.35572000e+01, 1.47400000e-01, 1.87600000e-01,\n", - " 6.16400000e-01, 4.42200000e-01, 9.91600000e-01, 2.41200000e-01,\n", - " 8.84400000e-01, 7.04840000e+00, 1.22342000e+01, 3.28300000e+00,\n", - " 2.29140000e+00, 2.01000000e+00, 8.04000000e-01, 3.43040000e+00,\n", - " 4.15400000e-01, 3.35000000e-01, 3.26960000e+00, 2.78720000e+00,\n", - " 1.34000000e-01, 0.00000000e+00, 6.16400000e-01, 6.29800000e-01,\n", - " 5.36000000e-02, 1.47400000e-01, 1.12560000e+00, 2.30480000e+00,\n", - " 1.36680000e+00, 4.42200000e-01, 4.55600000e-01, 3.37680000e+00,\n", - " 7.85240000e+00, 6.98140000e+00, 1.52760000e+00, 2.46560000e+00,\n", - " 2.88100000e+00, 3.21600000e+00, 3.61800000e-01, 7.50400000e-01,\n", - " 1.34000000e-01, 1.60800000e-01, 2.41200000e-01, 0.00000000e+00,\n", - " 6.70000000e-02, 1.87600000e-01, 2.72020000e+00, 7.10200000e-01,\n", - " 8.04000000e-02, 0.00000000e+00, 2.01000000e-01, 2.18420000e+00,\n", - " 1.74200000e+00, 6.21760000e+00, 8.14720000e+00, 1.51420000e+00,\n", - " 2.41200000e-01, 1.20600000e-01, 6.29800000e-01, 1.20600000e-01,\n", - " 3.60460000e+00, 2.80060000e+00, 8.57600000e-01, 6.96800000e-01,\n", - " 7.30300000e+00, 1.47400000e+00, 0.00000000e+00, 3.52420000e+00,\n", - " 2.31820000e+00, 1.14436000e+01, 1.84920000e+00, 5.48060000e+00,\n", - " 1.13900000e+00, 1.55440000e+00, 4.24780000e+00, 7.12880000e+00,\n", - " 6.37840000e+00, 1.27702000e+01, 1.90280000e+00, 8.17400000e-01,\n", - " 5.42700000e+00, 6.72680000e+00, 2.29140000e+00, 1.25960000e+00,\n", - " 2.68000000e-01, 1.07200000e+00, 1.99660000e+00, 1.39360000e+00,\n", - " 1.17920000e+00, 3.48400000e+00, 9.91600000e-01, 3.35000000e-01,\n", - " 6.65980000e+00, 5.66820000e+00, 4.97140000e+00, 5.19920000e+00,\n", - " 7.90600000e-01, 8.97800000e-01, 1.74200000e-01, 4.69000000e-01,\n", - " 9.64800000e-01, 1.84920000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.33062000e+01, 1.93496000e+01, 4.20090000e+01, 1.09880000e+00,\n", - " 1.20600000e+00, 6.56600000e-01, 1.47400000e-01, 1.60800000e-01,\n", - " 4.02000000e-01, 3.48400000e-01, 2.15740000e+00, 1.96980000e+00,\n", - " 1.84920000e+00, 5.36000000e-01, 1.38824000e+01, 2.54198000e+01,\n", - " 3.88600000e-01, 3.35000000e-01, 8.97800000e-01, 3.61800000e-01,\n", - " 4.02000000e-01, 9.51400000e-01, 1.79560000e+00, 6.43200000e-01,\n", - " 9.11200000e-01, 9.38000000e-01, 1.20600000e-01, 2.29140000e+00,\n", - " 2.94800000e-01, 7.10200000e-01, 8.44200000e-01, 2.18420000e+00,\n", - " 1.70180000e+00, 1.47400000e-01, 2.53260000e+00, 7.63800000e-01,\n", - " 5.49400000e-01, 6.03000000e-01, 1.42040000e+00, 7.23600000e-01,\n", - " 1.56780000e+00, 8.04000000e-02, 7.37000000e-01, 4.55600000e-01,\n", - " 6.43200000e-01, 2.27800000e-01, 2.62506000e+01, 6.70000000e-01,\n", - " 5.89600000e-01, 2.68000000e+01, 9.64800000e-01, 1.74200000e-01,\n", - " 0.00000000e+00, 1.74200000e-01, 8.04000000e-02, 6.70000000e-01,\n", - " 9.24600000e-01, 1.87600000e-01, 7.10200000e-01, 8.84400000e+00,\n", - " 5.64140000e+00, 6.82060000e+00, 2.37984000e+01, 2.06628000e+01,\n", - " 5.62800000e-01, 3.21600000e-01, 5.41360000e+00, 3.48400000e+00,\n", - " 1.17786000e+01, 8.36160000e+00, 1.20600000e-01, 2.94800000e+00,\n", - " 8.44200000e-01, 1.19662000e+01, 6.70000000e-02, 9.38000000e-02,\n", - " 1.47400000e-01, 6.70000000e-02, 4.22100000e+00, 3.33660000e+00,\n", - " 3.35000000e+00, 1.05190000e+01, 5.49400000e-01, 1.34000000e-01,\n", - " 5.23940000e+00, 1.74200000e-01, 5.49400000e-01, 8.45540000e+00,\n", - " 5.76200000e-01, 5.36000000e-01, 5.09200000e-01, 5.89600000e-01,\n", - " 3.08200000e-01, 6.84740000e+00, 3.88600000e+00, 1.20600000e+00,\n", - " 1.83580000e+00, 6.43200000e-01, 1.20600000e-01, 3.43040000e+00,\n", - " 2.14400000e+00, 4.89100000e+00, 4.82400000e-01, 8.57600000e-01,\n", - " 3.08200000e-01, 4.95800000e-01, 1.00500000e+00, 3.84580000e+00,\n", - " 1.08540000e+00, 3.95300000e+00, 1.51420000e+00, 5.62800000e-01,\n", - " 1.17920000e+00, 2.02340000e+00, 3.37680000e+00, 9.21920000e+00,\n", - " 1.03180000e+00, 4.89100000e+00, 4.55600000e-01, 4.42200000e-01,\n", - " 1.20600000e+00, 2.45220000e+00, 9.38000000e-01, 2.78720000e+00,\n", - " 1.87600000e-01, 6.29800000e-01, 3.48400000e+00, 1.82240000e+00,\n", - " 2.27800000e-01, 4.15400000e-01, 1.46060000e+00, 8.44200000e-01,\n", - " 1.59460000e+00, 1.07200000e+00, 1.47400000e-01, 4.69000000e-01,\n", - " 1.07200000e-01, 1.34000000e-02, 5.44040000e+00, 7.27620000e+00,\n", - " 3.48400000e-01, 2.54600000e-01, 1.60934000e+01, 7.26280000e+00,\n", - " 1.38020000e+00, 5.44040000e+00, 8.44200000e-01, 2.84080000e+00,\n", - " 3.75200000e-01, 3.35000000e-01, 3.79220000e+00, 4.55600000e-01,\n", - " 1.74200000e-01, 2.63980000e+00, 1.48740000e+00, 6.96800000e-01,\n", - " 6.13720000e+00, 2.14400000e-01, 4.95800000e-01, 2.54600000e-01,\n", - " 3.61800000e-01, 1.34000000e-01, 8.37500000e+00, 4.36840000e+00,\n", - " 4.95800000e-01, 2.27800000e-01, 3.56440000e+00, 3.75200000e-01,\n", - " 1.78220000e+00, 1.34000000e-02, 1.64820000e+00, 2.11720000e+00,\n", - " 6.03000000e-01, 1.99660000e+00, 3.35000000e-01, 1.06530000e+01,\n", - " 4.55600000e-01, 4.42200000e-01, 4.15400000e-01, 1.53296000e+01,\n", - " 4.69000000e-01, 1.11220000e+00, 1.20600000e-01, 6.70000000e-02,\n", - " 3.71180000e+00, 1.32660000e+00, 1.07200000e-01, 0.00000000e+00,\n", - " 4.71680000e+00, 2.43880000e+00, 7.02160000e+00, 3.05520000e+00,\n", - " 8.04000000e-02, 5.36000000e-02, 4.02000000e-01, 1.82240000e+00,\n", - " 2.15740000e+00, 3.35000000e-01, 0.00000000e+00, 1.20600000e-01,\n", - " 1.25960000e+00, 2.41200000e-01, 4.28800000e-01, 7.10200000e-01,\n", - " 4.70340000e+00, 3.08200000e+00, 9.38000000e-02, 3.21600000e-01,\n", - " 1.74200000e-01, 1.34000000e-01, 1.34000000e-01, 4.02000000e-01,\n", - " 4.02000000e-01, 5.15900000e+00, 4.91780000e+00, 3.75200000e-01,\n", - " 5.22600000e-01, 2.01000000e-01, 1.47400000e-01, 4.42200000e-01,\n", - " 1.34000000e-01, 1.34000000e-01, 9.11200000e-01, 6.96800000e-01,\n", - " 9.51400000e-01, 1.19260000e+00, 1.01706000e+01, 2.09040000e+00,\n", - " 1.84920000e+00, 1.92960000e+00, 3.60460000e+00, 2.68000000e-01,\n", - " 1.74200000e+00, 4.97140000e+00, 3.48400000e-01, 1.41504000e+01,\n", - " 1.05994000e+01, 6.49900000e+00, 7.23600000e-01, 2.01000000e-01,\n", - " 1.18590000e+01, 3.00160000e+00, 4.99820000e+00, 1.09880000e+00,\n", - " 2.54600000e-01, 4.10040000e+00, 3.29640000e+00, 1.34000000e-01,\n", - " 5.36000000e-02, 4.02000000e-02, 1.20600000e+00, 5.36000000e-02,\n", - " 5.58780000e+00, 1.19796000e+01, 5.36000000e-01, 1.09880000e+00,\n", - " 2.46560000e+00, 6.70000000e-02, 3.08200000e-01, 3.61800000e+00,\n", - " 3.88600000e-01, 6.43200000e-01, 1.38020000e+00, 7.51740000e+00,\n", - " 4.14060000e+00, 8.57600000e-01, 1.35340000e+00, 1.79560000e+00,\n", - " 2.01000000e-01, 9.11200000e-01, 1.15240000e+00, 4.82400000e-01,\n", - " 6.70000000e-02, 7.23600000e-01, 3.48400000e-01, 3.35000000e-01,\n", - " 7.63800000e-01, 9.51400000e-01, 1.40700000e+00, 3.75200000e-01,\n", - " 4.02000000e-02, 5.09200000e-01, 6.47220000e+00, 3.61800000e-01,\n", - " 3.16240000e+00, 3.21600000e-01, 1.15240000e+00, 6.56600000e+00,\n", - " 1.03046000e+01, 2.30480000e+00, 4.39520000e+00, 5.09200000e-01,\n", - " 4.69000000e-01, 3.35000000e-01, 2.45220000e+00, 4.02000000e-01,\n", - " 4.28800000e-01, 2.41200000e-01, 6.70000000e-01, 6.43200000e-01,\n", - " 6.83400000e+00, 1.96980000e+00, 7.77200000e-01, 1.34000000e-02,\n", - " 6.56600000e-01, 2.47900000e+00, 2.85420000e+00, 2.68000000e+00,\n", - " 2.54600000e-01, 9.91600000e-01, 1.87600000e+00, 3.35000000e-01,\n", - " 8.44200000e-01, 5.09200000e-01, 2.27800000e-01, 3.75200000e-01,\n", - " 8.17400000e-01, 6.29800000e-01, 5.49400000e-01, 1.07200000e-01,\n", - " 4.03340000e+00, 5.13220000e+00, 2.01000000e-01, 2.14400000e-01,\n", - " 4.69000000e-01, 1.49812000e+01, 8.10700000e+00, 1.74200000e-01,\n", - " 5.72180000e+00, 2.97480000e+00, 1.34000000e-02, 5.76200000e-01,\n", - " 3.21600000e-01, 2.73360000e+00, 4.02000000e+00, 5.52080000e+00,\n", - " 3.75200000e-01, 1.07334000e+01, 1.83580000e+00, 7.77200000e+00,\n", - " 1.00500000e+00, 1.40700000e+00, 5.98980000e+00, 4.52920000e+00,\n", - " 1.86260000e+00, 2.13060000e+00, 0.00000000e+00, 1.34000000e+00,\n", - " 1.19260000e+00, 1.60800000e-01, 8.04000000e-02, 1.47400000e-01,\n", - " 2.27800000e-01, 4.28800000e-01, 8.84400000e-01, 6.03000000e-01,\n", - " 5.09200000e-01, 2.39860000e+00, 2.61300000e+00, 5.36000000e-02,\n", - " 5.22600000e-01, 7.23600000e-01, 3.21600000e-01, 4.95800000e-01,\n", - " 2.68000000e-01, 8.71000000e-01, 2.23780000e+00, 3.21600000e-01,\n", - " 2.54600000e-01, 1.46864000e+01, 5.76200000e-01, 4.95800000e-01,\n", - " 4.28800000e-01, 2.74700000e+00, 6.29800000e-01, 2.27800000e-01,\n", - " 1.92960000e+00, 5.09200000e-01, 3.55100000e+00, 9.38000000e-01,\n", - " 8.02660000e+00, 5.80220000e+00, 5.49400000e+00, 4.95800000e-01,\n", - " 5.36000000e-02, 6.29800000e-01, 1.47400000e-01, 3.61800000e-01,\n", - " 7.45040000e+00, 3.88600000e-01, 4.02000000e-02, 2.14400000e-01,\n", - " 4.98480000e+00, 1.25960000e+00, 2.94800000e-01, 1.01840000e+00,\n", - " 4.93120000e+00, 8.95120000e+00, 1.64016000e+01, 1.90280000e+00,\n", - " 8.62960000e+00, 1.15910000e+01, 1.00500000e+00, 5.22600000e-01,\n", - " 1.40700000e+00, 1.96712000e+01, 1.05056000e+01, 5.36000000e-02,\n", - " 6.03000000e-01, 8.84400000e-01, 3.75200000e-01, 1.71520000e+00,\n", - " 7.77200000e-01, 1.34000000e+00, 1.48740000e+00, 7.91940000e+00,\n", - " 1.86260000e+00, 1.07200000e-01, 2.25120000e+00, 3.55100000e+00,\n", - " 2.13060000e+00, 1.86260000e+00, 1.20600000e-01, 1.03180000e+00,\n", - " 6.29800000e-01, 2.27800000e-01, 1.20600000e-01, 9.90260000e+00,\n", - " 7.23600000e-01, 2.81400000e-01, 9.38000000e-01, 1.79560000e+00,\n", - " 1.05994000e+01, 5.92280000e+00, 9.24600000e-01, 1.28640000e+00,\n", - " 5.19920000e+00, 7.37000000e-01, 1.25960000e+00, 4.02000000e+00,\n", - " 3.40360000e+00, 4.95800000e-01, 6.17740000e+00, 5.62800000e-01,\n", - " 1.23012000e+01, 6.56600000e-01, 1.96980000e+00, 9.38000000e-02,\n", - " 6.70000000e-02, 1.74200000e-01, 1.01840000e+00, 6.83400000e-01,\n", - " 1.09880000e+00, 6.03000000e-01, 4.69000000e-01, 5.76200000e-01,\n", - " 2.02340000e+00, 6.96800000e-01, 2.81400000e-01, 2.68000000e+00,\n", - " 2.27800000e-01, 8.60280000e+00, 2.07700000e+00, 2.11720000e+00,\n", - " 4.95800000e-01, 7.77200000e-01, 2.94800000e-01, 9.56760000e+00,\n", - " 3.75200000e-01, 1.74200000e-01, 1.99660000e+00, 1.77416000e+01,\n", - " 2.68000000e-01, 4.28800000e-01, 5.36000000e-02, 8.20080000e+00,\n", - " 1.34000000e-01, 1.84920000e+00, 2.68000000e-01, 7.38340000e+00,\n", - " 3.00160000e+00, 1.20600000e-01, 2.68000000e-02, 4.95800000e+00,\n", - " 9.38000000e-02, 8.17400000e-01, 2.73360000e+00, 7.23600000e-01,\n", - " 3.30980000e+00, 1.11220000e+00, 2.35840000e+00, 3.75200000e-01,\n", - " 6.96800000e-01, 1.20600000e-01, 1.01974000e+01, 1.04520000e+01,\n", - " 2.26460000e+00, 5.56100000e+00, 1.14168000e+01, 4.42200000e-01,\n", - " 6.70000000e-02, 2.27800000e-01, 4.69000000e-01, 6.03000000e-01,\n", - " 2.01000000e-01, 8.04000000e-02, 4.42200000e-01, 1.07200000e+00,\n", - " 1.48740000e+00, 4.42200000e-01, 2.41200000e-01, 2.27800000e-01,\n", - " 3.08200000e-01, 4.02000000e-02, 9.91600000e-01, 5.09200000e-01,\n", - " 2.41200000e-01, 1.24620000e+00, 1.07200000e-01, 1.91620000e+00,\n", - " 3.26960000e+00, 1.19260000e+00, 3.10880000e+00, 5.64140000e+00,\n", - " 1.78220000e+00, 8.57600000e+00, 9.38000000e-01, 1.64820000e+00,\n", - " 3.21600000e+00, 1.29980000e+00, 6.16400000e-01, 7.77200000e-01,\n", - " 3.48400000e-01, 4.42200000e-01, 1.34000000e-02, 4.95800000e-01,\n", - " 2.27800000e-01, 1.20600000e-01, 5.49400000e-01, 2.50580000e+00,\n", - " 5.89600000e-01, 4.82400000e-01, 2.01000000e-01, 8.71000000e-01,\n", - " 5.73520000e+00, 2.42540000e+00, 6.56600000e-01, 1.59460000e+00,\n", - " 4.69000000e-01, 1.17920000e+01, 8.30800000e-01, 4.00660000e+00,\n", - " 8.04000000e-01, 1.01840000e+00, 4.15400000e-01, 1.17920000e+00,\n", - " 6.16400000e-01, 4.42200000e-01, 1.50080000e+00, 8.04000000e-02,\n", - " 2.41200000e-01, 6.29800000e-01, 4.69000000e-01, 6.16400000e-01,\n", - " 1.74200000e-01, 8.97800000e-01, 5.36000000e+00, 1.54100000e+00,\n", - " 2.42540000e+00, 1.46060000e+00, 8.44200000e-01, 1.84920000e+00,\n", - " 6.17740000e+00, 4.70340000e+00, 3.48400000e-01, 1.39360000e+00,\n", - " 7.10200000e-01, 9.24600000e-01, 2.09040000e+00, 3.97980000e+00,\n", - " 4.02000000e-02, 6.70000000e-02, 4.73020000e+00, 4.87760000e+00,\n", - " 7.50400000e-01, 9.38000000e-02, 5.22600000e-01, 3.48400000e-01,\n", - " 4.02000000e-02, 9.38000000e-02, 4.02000000e-01, 4.69000000e-01,\n", - " 5.31980000e+00, 2.57280000e+00, 2.81400000e-01, 7.90600000e-01,\n", - " 5.52080000e+00, 3.21600000e-01, 1.00232000e+01, 4.82400000e-01,\n", - " 7.22260000e+00, 6.56600000e-01, 2.85420000e+00, 5.36000000e-02,\n", - " 1.74200000e-01, 4.55600000e-01, 1.87600000e-01, 3.04180000e+00,\n", - " 1.84920000e+00, 1.46060000e+00, 2.14400000e-01, 5.76200000e-01,\n", - " 4.02000000e-02, 2.46560000e+00, 6.83400000e-01, 8.04000000e-02,\n", - " 1.12560000e+00, 3.92620000e+00, 1.39360000e+00, 1.34000000e-02,\n", - " 5.81560000e+00, 4.02000000e-01, 4.10040000e+00, 6.70000000e-02,\n", - " 4.02000000e-02, 5.22600000e-01, 2.43880000e+00, 3.75200000e-01,\n", - " 1.01840000e+00, 2.37180000e+00, 1.20600000e-01, 1.60800000e-01,\n", - " 8.46880000e+00, 5.36000000e-02, 5.36000000e-02, 4.28800000e-01,\n", - " 4.95800000e-01, 4.28800000e-01, 1.47400000e-01, 7.23600000e-01,\n", - " 6.16400000e-01, 8.57600000e-01, 6.43200000e-01, 1.84920000e+00,\n", - " 3.33660000e+00, 2.54600000e-01, 1.34000000e-01, 3.48400000e-01,\n", - " 5.76200000e-01, 5.89600000e-01, 1.92960000e+00, 2.27800000e-01,\n", - " 1.20600000e-01, 6.56600000e-01, 3.41700000e+00, 1.11220000e+00,\n", - " 6.29800000e-01, 2.37448000e+01, 2.68000000e-02, 2.94800000e-01,\n", - " 2.81400000e-01, 8.04000000e-02, 9.38000000e-02, 1.20600000e-01,\n", - " 1.07200000e-01, 7.77200000e-01, 1.87600000e-01, 2.49240000e+00,\n", - " 1.28908000e+01, 7.37000000e-01, 2.54600000e-01, 8.71000000e-01,\n", - " 4.64980000e+00, 3.61800000e-01, 2.27800000e-01, 1.00500000e+00,\n", - " 2.01000000e-01, 1.16580000e+00, 1.98320000e+00, 1.62140000e+00,\n", - " 1.47400000e-01, 7.50400000e-01, 5.22600000e-01, 3.88600000e-01,\n", - " 6.29800000e-01, 3.51080000e+00, 7.50400000e-01, 1.21940000e+00,\n", - " 1.98320000e+00, 2.41200000e+00, 1.87600000e-01, 5.36000000e-01,\n", - " 2.22440000e+00, 2.03680000e+00, 7.26280000e+00, 1.74200000e-01,\n", - " 2.66660000e+00, 3.21600000e-01, 7.90600000e-01, 1.11220000e+00,\n", - " 2.68000000e-01, 1.11220000e+00, 4.02000000e-01, 3.35000000e-01,\n", - " 9.38000000e-01, 1.05860000e+00, 2.41200000e-01, 1.07200000e-01,\n", - " 8.57600000e-01, 1.51420000e+00, 9.51400000e-01, 6.29800000e-01,\n", - " 3.61800000e-01, 4.02000000e-02, 1.52760000e+00, 4.30140000e+00,\n", - " 5.76200000e-01, 2.94800000e-01, 1.34000000e-02, 8.84400000e-01,\n", - " 6.29800000e-01, 2.01000000e-01, 2.41200000e-01, 1.05860000e+00,\n", - " 3.21600000e-01, 6.86080000e+00, 6.29800000e-01, 2.41200000e-01,\n", - " 0.00000000e+00, 1.36680000e+00, 3.21600000e-01, 4.28800000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.58507844e+03, -2.52731782e+03, -9.87986283e+01, -6.29000421e+01,\n", - " 0.00000000e+00, -1.08163356e+02, -3.57222046e+01, 0.00000000e+00,\n", - " 0.00000000e+00, 5.16641729e+00, -2.30948641e+02, -2.10451382e+02,\n", - " 0.00000000e+00, 1.51732017e+03, -1.84511253e+03]), array([ 8.97800000e-01, 4.19420000e+00, 8.18740000e+00, 5.80220000e+00,\n", - " 3.08200000e-01, 5.62800000e-01, 3.75200000e-01, 7.90600000e-01,\n", - " 1.29980000e+00, 2.01000000e-01, 7.90600000e-01, 6.29800000e-01,\n", - " 1.40968000e+01, 5.36000000e-02, 1.87600000e-01, 1.20600000e-01,\n", - " 7.03500000e+00, 5.06520000e+00, 7.63800000e-01, 1.19260000e+00,\n", - " 2.81400000e-01, 1.47400000e-01, 8.04000000e-02, 0.00000000e+00,\n", - " 2.68000000e-01, 8.84400000e-01, 6.70000000e-02, 5.15900000e+00,\n", - " 1.00500000e+00, 4.14060000e+00, 2.19760000e+00, 1.67500000e+00,\n", - " 1.84920000e+00, 8.04000000e-02, 0.00000000e+00, 9.38000000e-02,\n", - " 1.04520000e+00, 4.82400000e-01, 2.41200000e-01, 1.74200000e-01,\n", - " 6.03000000e-01, 5.62800000e-01, 1.51420000e+00, 3.18920000e+00,\n", - " 5.09200000e-01, 5.29300000e+00, 1.67500000e+00, 6.74020000e+00,\n", - " 8.44200000e-01, 2.35572000e+01, 1.47400000e-01, 1.87600000e-01,\n", - " 6.16400000e-01, 4.42200000e-01, 9.91600000e-01, 2.41200000e-01,\n", - " 8.84400000e-01, 7.04840000e+00, 1.22342000e+01, 3.28300000e+00,\n", - " 2.29140000e+00, 2.01000000e+00, 8.04000000e-01, 3.43040000e+00,\n", - " 4.15400000e-01, 3.35000000e-01, 3.26960000e+00, 2.78720000e+00,\n", - " 1.34000000e-01, 0.00000000e+00, 6.16400000e-01, 6.29800000e-01,\n", - " 5.36000000e-02, 1.47400000e-01, 1.12560000e+00, 2.30480000e+00,\n", - " 1.36680000e+00, 4.42200000e-01, 4.55600000e-01, 3.37680000e+00,\n", - " 7.85240000e+00, 6.98140000e+00, 1.52760000e+00, 2.46560000e+00,\n", - " 2.88100000e+00, 3.21600000e+00, 3.61800000e-01, 7.50400000e-01,\n", - " 1.34000000e-01, 1.60800000e-01, 2.41200000e-01, 0.00000000e+00,\n", - " 6.70000000e-02, 1.87600000e-01, 2.72020000e+00, 7.10200000e-01,\n", - " 8.04000000e-02, 0.00000000e+00, 2.01000000e-01, 2.18420000e+00,\n", - " 1.74200000e+00, 6.21760000e+00, 8.14720000e+00, 1.51420000e+00,\n", - " 2.41200000e-01, 1.20600000e-01, 6.29800000e-01, 1.20600000e-01,\n", - " 3.60460000e+00, 2.80060000e+00, 8.57600000e-01, 6.96800000e-01,\n", - " 7.30300000e+00, 1.47400000e+00, 0.00000000e+00, 3.52420000e+00,\n", - " 2.31820000e+00, 1.14436000e+01, 1.84920000e+00, 5.48060000e+00,\n", - " 1.13900000e+00, 1.55440000e+00, 4.24780000e+00, 7.12880000e+00,\n", - " 6.37840000e+00, 1.27702000e+01, 1.90280000e+00, 8.17400000e-01,\n", - " 5.42700000e+00, 6.72680000e+00, 2.29140000e+00, 1.25960000e+00,\n", - " 2.68000000e-01, 1.07200000e+00, 1.99660000e+00, 1.39360000e+00,\n", - " 1.17920000e+00, 3.48400000e+00, 9.91600000e-01, 3.35000000e-01,\n", - " 6.65980000e+00, 5.66820000e+00, 4.97140000e+00, 5.19920000e+00,\n", - " 7.90600000e-01, 8.97800000e-01, 1.74200000e-01, 4.69000000e-01,\n", - " 9.64800000e-01, 1.84920000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.33062000e+01, 1.93496000e+01, 4.20090000e+01, 1.09880000e+00,\n", - " 1.20600000e+00, 6.56600000e-01, 1.47400000e-01, 1.60800000e-01,\n", - " 4.02000000e-01, 3.48400000e-01, 2.15740000e+00, 1.96980000e+00,\n", - " 1.84920000e+00, 5.36000000e-01, 1.38824000e+01, 2.54198000e+01,\n", - " 3.88600000e-01, 3.35000000e-01, 8.97800000e-01, 3.61800000e-01,\n", - " 4.02000000e-01, 9.51400000e-01, 1.79560000e+00, 6.43200000e-01,\n", - " 9.11200000e-01, 9.38000000e-01, 1.20600000e-01, 2.29140000e+00,\n", - " 2.94800000e-01, 7.10200000e-01, 8.44200000e-01, 2.18420000e+00,\n", - " 1.70180000e+00, 1.47400000e-01, 2.53260000e+00, 7.63800000e-01,\n", - " 5.49400000e-01, 6.03000000e-01, 1.42040000e+00, 7.23600000e-01,\n", - " 1.56780000e+00, 8.04000000e-02, 7.37000000e-01, 4.55600000e-01,\n", - " 6.43200000e-01, 2.27800000e-01, 2.62506000e+01, 6.70000000e-01,\n", - " 5.89600000e-01, 2.68000000e+01, 9.64800000e-01, 1.74200000e-01,\n", - " 0.00000000e+00, 1.74200000e-01, 8.04000000e-02, 6.70000000e-01,\n", - " 9.24600000e-01, 1.87600000e-01, 7.10200000e-01, 8.84400000e+00,\n", - " 5.64140000e+00, 6.82060000e+00, 2.37984000e+01, 2.06628000e+01,\n", - " 5.62800000e-01, 3.21600000e-01, 5.41360000e+00, 3.48400000e+00,\n", - " 1.17786000e+01, 8.36160000e+00, 1.20600000e-01, 2.94800000e+00,\n", - " 8.44200000e-01, 1.19662000e+01, 6.70000000e-02, 9.38000000e-02,\n", - " 1.47400000e-01, 6.70000000e-02, 4.22100000e+00, 3.33660000e+00,\n", - " 3.35000000e+00, 1.05190000e+01, 5.49400000e-01, 1.34000000e-01,\n", - " 5.23940000e+00, 1.74200000e-01, 5.49400000e-01, 8.45540000e+00,\n", - " 5.76200000e-01, 5.36000000e-01, 5.09200000e-01, 5.89600000e-01,\n", - " 3.08200000e-01, 6.84740000e+00, 3.88600000e+00, 1.20600000e+00,\n", - " 1.83580000e+00, 6.43200000e-01, 1.20600000e-01, 3.43040000e+00,\n", - " 2.14400000e+00, 4.89100000e+00, 4.82400000e-01, 8.57600000e-01,\n", - " 3.08200000e-01, 4.95800000e-01, 1.00500000e+00, 3.84580000e+00,\n", - " 1.08540000e+00, 3.95300000e+00, 1.51420000e+00, 5.62800000e-01,\n", - " 1.17920000e+00, 2.02340000e+00, 3.37680000e+00, 9.21920000e+00,\n", - " 1.03180000e+00, 4.89100000e+00, 4.55600000e-01, 4.42200000e-01,\n", - " 1.20600000e+00, 2.45220000e+00, 9.38000000e-01, 2.78720000e+00,\n", - " 1.87600000e-01, 6.29800000e-01, 3.48400000e+00, 1.82240000e+00,\n", - " 2.27800000e-01, 4.15400000e-01, 1.46060000e+00, 8.44200000e-01,\n", - " 1.59460000e+00, 1.07200000e+00, 1.47400000e-01, 4.69000000e-01,\n", - " 1.07200000e-01, 1.34000000e-02, 5.44040000e+00, 7.27620000e+00,\n", - " 3.48400000e-01, 2.54600000e-01, 1.60934000e+01, 7.26280000e+00,\n", - " 1.38020000e+00, 5.44040000e+00, 8.44200000e-01, 2.84080000e+00,\n", - " 3.75200000e-01, 3.35000000e-01, 3.79220000e+00, 4.55600000e-01,\n", - " 1.74200000e-01, 2.63980000e+00, 1.48740000e+00, 6.96800000e-01,\n", - " 6.13720000e+00, 2.14400000e-01, 4.95800000e-01, 2.54600000e-01,\n", - " 3.61800000e-01, 1.34000000e-01, 8.37500000e+00, 4.36840000e+00,\n", - " 4.95800000e-01, 2.27800000e-01, 3.56440000e+00, 3.75200000e-01,\n", - " 1.78220000e+00, 1.34000000e-02, 1.64820000e+00, 2.11720000e+00,\n", - " 6.03000000e-01, 1.99660000e+00, 3.35000000e-01, 1.06530000e+01,\n", - " 4.55600000e-01, 4.42200000e-01, 4.15400000e-01, 1.53296000e+01,\n", - " 4.69000000e-01, 1.11220000e+00, 1.20600000e-01, 6.70000000e-02,\n", - " 3.71180000e+00, 1.32660000e+00, 1.07200000e-01, 0.00000000e+00,\n", - " 4.71680000e+00, 2.43880000e+00, 7.02160000e+00, 3.05520000e+00,\n", - " 8.04000000e-02, 5.36000000e-02, 4.02000000e-01, 1.82240000e+00,\n", - " 2.15740000e+00, 3.35000000e-01, 0.00000000e+00, 1.20600000e-01,\n", - " 1.25960000e+00, 2.41200000e-01, 4.28800000e-01, 7.10200000e-01,\n", - " 4.70340000e+00, 3.08200000e+00, 9.38000000e-02, 3.21600000e-01,\n", - " 1.74200000e-01, 1.34000000e-01, 1.34000000e-01, 4.02000000e-01,\n", - " 4.02000000e-01, 5.15900000e+00, 4.91780000e+00, 3.75200000e-01,\n", - " 5.22600000e-01, 2.01000000e-01, 1.47400000e-01, 4.42200000e-01,\n", - " 1.34000000e-01, 1.34000000e-01, 9.11200000e-01, 6.96800000e-01,\n", - " 9.51400000e-01, 1.19260000e+00, 1.01706000e+01, 2.09040000e+00,\n", - " 1.84920000e+00, 1.92960000e+00, 3.60460000e+00, 2.68000000e-01,\n", - " 1.74200000e+00, 4.97140000e+00, 3.48400000e-01, 1.41504000e+01,\n", - " 1.05994000e+01, 6.49900000e+00, 7.23600000e-01, 2.01000000e-01,\n", - " 1.18590000e+01, 3.00160000e+00, 4.99820000e+00, 1.09880000e+00,\n", - " 2.54600000e-01, 4.10040000e+00, 3.29640000e+00, 1.34000000e-01,\n", - " 5.36000000e-02, 4.02000000e-02, 1.20600000e+00, 5.36000000e-02,\n", - " 5.58780000e+00, 1.19796000e+01, 5.36000000e-01, 1.09880000e+00,\n", - " 2.46560000e+00, 6.70000000e-02, 3.08200000e-01, 3.61800000e+00,\n", - " 3.88600000e-01, 6.43200000e-01, 1.38020000e+00, 7.51740000e+00,\n", - " 4.14060000e+00, 8.57600000e-01, 1.35340000e+00, 1.79560000e+00,\n", - " 2.01000000e-01, 9.11200000e-01, 1.15240000e+00, 4.82400000e-01,\n", - " 6.70000000e-02, 7.23600000e-01, 3.48400000e-01, 3.35000000e-01,\n", - " 7.63800000e-01, 9.51400000e-01, 1.40700000e+00, 3.75200000e-01,\n", - " 4.02000000e-02, 5.09200000e-01, 6.47220000e+00, 3.61800000e-01,\n", - " 3.16240000e+00, 3.21600000e-01, 1.15240000e+00, 6.56600000e+00,\n", - " 1.03046000e+01, 2.30480000e+00, 4.39520000e+00, 5.09200000e-01,\n", - " 4.69000000e-01, 3.35000000e-01, 2.45220000e+00, 4.02000000e-01,\n", - " 4.28800000e-01, 2.41200000e-01, 6.70000000e-01, 6.43200000e-01,\n", - " 6.83400000e+00, 1.96980000e+00, 7.77200000e-01, 1.34000000e-02,\n", - " 6.56600000e-01, 2.47900000e+00, 2.85420000e+00, 2.68000000e+00,\n", - " 2.54600000e-01, 9.91600000e-01, 1.87600000e+00, 3.35000000e-01,\n", - " 8.44200000e-01, 5.09200000e-01, 2.27800000e-01, 3.75200000e-01,\n", - " 8.17400000e-01, 6.29800000e-01, 5.49400000e-01, 1.07200000e-01,\n", - " 4.03340000e+00, 5.13220000e+00, 2.01000000e-01, 2.14400000e-01,\n", - " 4.69000000e-01, 1.49812000e+01, 8.10700000e+00, 1.74200000e-01,\n", - " 5.72180000e+00, 2.97480000e+00, 1.34000000e-02, 5.76200000e-01,\n", - " 3.21600000e-01, 2.73360000e+00, 4.02000000e+00, 5.52080000e+00,\n", - " 3.75200000e-01, 1.07334000e+01, 1.83580000e+00, 7.77200000e+00,\n", - " 1.00500000e+00, 1.40700000e+00, 5.98980000e+00, 4.52920000e+00,\n", - " 1.86260000e+00, 2.13060000e+00, 0.00000000e+00, 1.34000000e+00,\n", - " 1.19260000e+00, 1.60800000e-01, 8.04000000e-02, 1.47400000e-01,\n", - " 2.27800000e-01, 4.28800000e-01, 8.84400000e-01, 6.03000000e-01,\n", - " 5.09200000e-01, 2.39860000e+00, 2.61300000e+00, 5.36000000e-02,\n", - " 5.22600000e-01, 7.23600000e-01, 3.21600000e-01, 4.95800000e-01,\n", - " 2.68000000e-01, 8.71000000e-01, 2.23780000e+00, 3.21600000e-01,\n", - " 2.54600000e-01, 1.46864000e+01, 5.76200000e-01, 4.95800000e-01,\n", - " 4.28800000e-01, 2.74700000e+00, 6.29800000e-01, 2.27800000e-01,\n", - " 1.92960000e+00, 5.09200000e-01, 3.55100000e+00, 9.38000000e-01,\n", - " 8.02660000e+00, 5.80220000e+00, 5.49400000e+00, 4.95800000e-01,\n", - " 5.36000000e-02, 6.29800000e-01, 1.47400000e-01, 3.61800000e-01,\n", - " 7.45040000e+00, 3.88600000e-01, 4.02000000e-02, 2.14400000e-01,\n", - " 4.98480000e+00, 1.25960000e+00, 2.94800000e-01, 1.01840000e+00,\n", - " 4.93120000e+00, 8.95120000e+00, 1.64016000e+01, 1.90280000e+00,\n", - " 8.62960000e+00, 1.15910000e+01, 1.00500000e+00, 5.22600000e-01,\n", - " 1.40700000e+00, 1.96712000e+01, 1.05056000e+01, 5.36000000e-02,\n", - " 6.03000000e-01, 8.84400000e-01, 3.75200000e-01, 1.71520000e+00,\n", - " 7.77200000e-01, 1.34000000e+00, 1.48740000e+00, 7.91940000e+00,\n", - " 1.86260000e+00, 1.07200000e-01, 2.25120000e+00, 3.55100000e+00,\n", - " 2.13060000e+00, 1.86260000e+00, 1.20600000e-01, 1.03180000e+00,\n", - " 6.29800000e-01, 2.27800000e-01, 1.20600000e-01, 9.90260000e+00,\n", - " 7.23600000e-01, 2.81400000e-01, 9.38000000e-01, 1.79560000e+00,\n", - " 1.05994000e+01, 5.92280000e+00, 9.24600000e-01, 1.28640000e+00,\n", - " 5.19920000e+00, 7.37000000e-01, 1.25960000e+00, 4.02000000e+00,\n", - " 3.40360000e+00, 4.95800000e-01, 6.17740000e+00, 5.62800000e-01,\n", - " 1.23012000e+01, 6.56600000e-01, 1.96980000e+00, 9.38000000e-02,\n", - " 6.70000000e-02, 1.74200000e-01, 1.01840000e+00, 6.83400000e-01,\n", - " 1.09880000e+00, 6.03000000e-01, 4.69000000e-01, 5.76200000e-01,\n", - " 2.02340000e+00, 6.96800000e-01, 2.81400000e-01, 2.68000000e+00,\n", - " 2.27800000e-01, 8.60280000e+00, 2.07700000e+00, 2.11720000e+00,\n", - " 4.95800000e-01, 7.77200000e-01, 2.94800000e-01, 9.56760000e+00,\n", - " 3.75200000e-01, 1.74200000e-01, 1.99660000e+00, 1.77416000e+01,\n", - " 2.68000000e-01, 4.28800000e-01, 5.36000000e-02, 8.20080000e+00,\n", - " 1.34000000e-01, 1.84920000e+00, 2.68000000e-01, 7.38340000e+00,\n", - " 3.00160000e+00, 1.20600000e-01, 2.68000000e-02, 4.95800000e+00,\n", - " 9.38000000e-02, 8.17400000e-01, 2.73360000e+00, 7.23600000e-01,\n", - " 3.30980000e+00, 1.11220000e+00, 2.35840000e+00, 3.75200000e-01,\n", - " 6.96800000e-01, 1.20600000e-01, 1.01974000e+01, 1.04520000e+01,\n", - " 2.26460000e+00, 5.56100000e+00, 1.14168000e+01, 4.42200000e-01,\n", - " 6.70000000e-02, 2.27800000e-01, 4.69000000e-01, 6.03000000e-01,\n", - " 2.01000000e-01, 8.04000000e-02, 4.42200000e-01, 1.07200000e+00,\n", - " 1.48740000e+00, 4.42200000e-01, 2.41200000e-01, 2.27800000e-01,\n", - " 3.08200000e-01, 4.02000000e-02, 9.91600000e-01, 5.09200000e-01,\n", - " 2.41200000e-01, 1.24620000e+00, 1.07200000e-01, 1.91620000e+00,\n", - " 3.26960000e+00, 1.19260000e+00, 3.10880000e+00, 5.64140000e+00,\n", - " 1.78220000e+00, 8.57600000e+00, 9.38000000e-01, 1.64820000e+00,\n", - " 3.21600000e+00, 1.29980000e+00, 6.16400000e-01, 7.77200000e-01,\n", - " 3.48400000e-01, 4.42200000e-01, 1.34000000e-02, 4.95800000e-01,\n", - " 2.27800000e-01, 1.20600000e-01, 5.49400000e-01, 2.50580000e+00,\n", - " 5.89600000e-01, 4.82400000e-01, 2.01000000e-01, 8.71000000e-01,\n", - " 5.73520000e+00, 2.42540000e+00, 6.56600000e-01, 1.59460000e+00,\n", - " 4.69000000e-01, 1.17920000e+01, 8.30800000e-01, 4.00660000e+00,\n", - " 8.04000000e-01, 1.01840000e+00, 4.15400000e-01, 1.17920000e+00,\n", - " 6.16400000e-01, 4.42200000e-01, 1.50080000e+00, 8.04000000e-02,\n", - " 2.41200000e-01, 6.29800000e-01, 4.69000000e-01, 6.16400000e-01,\n", - " 1.74200000e-01, 8.97800000e-01, 5.36000000e+00, 1.54100000e+00,\n", - " 2.42540000e+00, 1.46060000e+00, 8.44200000e-01, 1.84920000e+00,\n", - " 6.17740000e+00, 4.70340000e+00, 3.48400000e-01, 1.39360000e+00,\n", - " 7.10200000e-01, 9.24600000e-01, 2.09040000e+00, 3.97980000e+00,\n", - " 4.02000000e-02, 6.70000000e-02, 4.73020000e+00, 4.87760000e+00,\n", - " 7.50400000e-01, 9.38000000e-02, 5.22600000e-01, 3.48400000e-01,\n", - " 4.02000000e-02, 9.38000000e-02, 4.02000000e-01, 4.69000000e-01,\n", - " 5.31980000e+00, 2.57280000e+00, 2.81400000e-01, 7.90600000e-01,\n", - " 5.52080000e+00, 3.21600000e-01, 1.00232000e+01, 4.82400000e-01,\n", - " 7.22260000e+00, 6.56600000e-01, 2.85420000e+00, 5.36000000e-02,\n", - " 1.74200000e-01, 4.55600000e-01, 1.87600000e-01, 3.04180000e+00,\n", - " 1.84920000e+00, 1.46060000e+00, 2.14400000e-01, 5.76200000e-01,\n", - " 4.02000000e-02, 2.46560000e+00, 6.83400000e-01, 8.04000000e-02,\n", - " 1.12560000e+00, 3.92620000e+00, 1.39360000e+00, 1.34000000e-02,\n", - " 5.81560000e+00, 4.02000000e-01, 4.10040000e+00, 6.70000000e-02,\n", - " 4.02000000e-02, 5.22600000e-01, 2.43880000e+00, 3.75200000e-01,\n", - " 1.01840000e+00, 2.37180000e+00, 1.20600000e-01, 1.60800000e-01,\n", - " 8.46880000e+00, 5.36000000e-02, 5.36000000e-02, 4.28800000e-01,\n", - " 4.95800000e-01, 4.28800000e-01, 1.47400000e-01, 7.23600000e-01,\n", - " 6.16400000e-01, 8.57600000e-01, 6.43200000e-01, 1.84920000e+00,\n", - " 3.33660000e+00, 2.54600000e-01, 1.34000000e-01, 3.48400000e-01,\n", - " 5.76200000e-01, 5.89600000e-01, 1.92960000e+00, 2.27800000e-01,\n", - " 1.20600000e-01, 6.56600000e-01, 3.41700000e+00, 1.11220000e+00,\n", - " 6.29800000e-01, 2.37448000e+01, 2.68000000e-02, 2.94800000e-01,\n", - " 2.81400000e-01, 8.04000000e-02, 9.38000000e-02, 1.20600000e-01,\n", - " 1.07200000e-01, 7.77200000e-01, 1.87600000e-01, 2.49240000e+00,\n", - " 1.28908000e+01, 7.37000000e-01, 2.54600000e-01, 8.71000000e-01,\n", - " 4.64980000e+00, 3.61800000e-01, 2.27800000e-01, 1.00500000e+00,\n", - " 2.01000000e-01, 1.16580000e+00, 1.98320000e+00, 1.62140000e+00,\n", - " 1.47400000e-01, 7.50400000e-01, 5.22600000e-01, 3.88600000e-01,\n", - " 6.29800000e-01, 3.51080000e+00, 7.50400000e-01, 1.21940000e+00,\n", - " 1.98320000e+00, 2.41200000e+00, 1.87600000e-01, 5.36000000e-01,\n", - " 2.22440000e+00, 2.03680000e+00, 7.26280000e+00, 1.74200000e-01,\n", - " 2.66660000e+00, 3.21600000e-01, 7.90600000e-01, 1.11220000e+00,\n", - " 2.68000000e-01, 1.11220000e+00, 4.02000000e-01, 3.35000000e-01,\n", - " 9.38000000e-01, 1.05860000e+00, 2.41200000e-01, 1.07200000e-01,\n", - " 8.57600000e-01, 1.51420000e+00, 9.51400000e-01, 6.29800000e-01,\n", - " 3.61800000e-01, 4.02000000e-02, 1.52760000e+00, 4.30140000e+00,\n", - " 5.76200000e-01, 2.94800000e-01, 1.34000000e-02, 8.84400000e-01,\n", - " 6.29800000e-01, 2.01000000e-01, 2.41200000e-01, 1.05860000e+00,\n", - " 3.21600000e-01, 6.86080000e+00, 6.29800000e-01, 2.41200000e-01,\n", - " 0.00000000e+00, 1.36680000e+00, 3.21600000e-01, 4.28800000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.57815593e+03, -2.52731782e+03, -9.87986624e+01, -6.62320013e+01,\n", - " 0.00000000e+00, -1.23846579e+02, -3.78465681e+01, 0.00000000e+00,\n", - " 0.00000000e+00, 4.95243771e+00, -2.53652993e+02, -4.87263514e+02,\n", - " 0.00000000e+00, -1.48187962e+03, 1.48187962e+03]), array([ 8.97800000e-01, 4.19420000e+00, 8.18740000e+00, 5.80220000e+00,\n", - " 3.08200000e-01, 5.62800000e-01, 3.75200000e-01, 7.90600000e-01,\n", - " 1.29980000e+00, 2.01000000e-01, 7.90600000e-01, 6.29800000e-01,\n", - " 1.40968000e+01, 5.36000000e-02, 1.87600000e-01, 1.20600000e-01,\n", - " 7.03500000e+00, 5.06520000e+00, 7.63800000e-01, 1.19260000e+00,\n", - " 2.81400000e-01, 1.47400000e-01, 8.04000000e-02, 0.00000000e+00,\n", - " 2.68000000e-01, 8.84400000e-01, 6.70000000e-02, 5.15900000e+00,\n", - " 1.00500000e+00, 4.14060000e+00, 2.19760000e+00, 1.67500000e+00,\n", - " 1.84920000e+00, 8.04000000e-02, 0.00000000e+00, 9.38000000e-02,\n", - " 1.04520000e+00, 4.82400000e-01, 2.41200000e-01, 1.74200000e-01,\n", - " 6.03000000e-01, 5.62800000e-01, 1.51420000e+00, 3.18920000e+00,\n", - " 5.09200000e-01, 5.29300000e+00, 1.67500000e+00, 6.74020000e+00,\n", - " 8.44200000e-01, 2.35572000e+01, 1.47400000e-01, 1.87600000e-01,\n", - " 6.16400000e-01, 4.42200000e-01, 9.91600000e-01, 2.41200000e-01,\n", - " 8.84400000e-01, 7.04840000e+00, 1.22342000e+01, 3.28300000e+00,\n", - " 2.29140000e+00, 2.01000000e+00, 8.04000000e-01, 3.43040000e+00,\n", - " 4.15400000e-01, 3.35000000e-01, 3.26960000e+00, 2.78720000e+00,\n", - " 1.34000000e-01, 0.00000000e+00, 6.16400000e-01, 6.29800000e-01,\n", - " 5.36000000e-02, 1.47400000e-01, 1.12560000e+00, 2.30480000e+00,\n", - " 1.36680000e+00, 4.42200000e-01, 4.55600000e-01, 3.37680000e+00,\n", - " 7.85240000e+00, 6.98140000e+00, 1.52760000e+00, 2.46560000e+00,\n", - " 2.88100000e+00, 3.21600000e+00, 3.61800000e-01, 7.50400000e-01,\n", - " 1.34000000e-01, 1.60800000e-01, 2.41200000e-01, 0.00000000e+00,\n", - " 6.70000000e-02, 1.87600000e-01, 2.72020000e+00, 7.10200000e-01,\n", - " 8.04000000e-02, 0.00000000e+00, 2.01000000e-01, 2.18420000e+00,\n", - " 1.74200000e+00, 6.21760000e+00, 8.14720000e+00, 1.51420000e+00,\n", - " 2.41200000e-01, 1.20600000e-01, 6.29800000e-01, 1.20600000e-01,\n", - " 3.60460000e+00, 2.80060000e+00, 8.57600000e-01, 6.96800000e-01,\n", - " 7.30300000e+00, 1.47400000e+00, 0.00000000e+00, 3.52420000e+00,\n", - " 2.31820000e+00, 1.14436000e+01, 1.84920000e+00, 5.48060000e+00,\n", - " 1.13900000e+00, 1.55440000e+00, 4.24780000e+00, 7.12880000e+00,\n", - " 6.37840000e+00, 1.27702000e+01, 1.90280000e+00, 8.17400000e-01,\n", - " 5.42700000e+00, 6.72680000e+00, 2.29140000e+00, 1.25960000e+00,\n", - " 2.68000000e-01, 1.07200000e+00, 1.99660000e+00, 1.39360000e+00,\n", - " 1.17920000e+00, 3.48400000e+00, 9.91600000e-01, 3.35000000e-01,\n", - " 6.65980000e+00, 5.66820000e+00, 4.97140000e+00, 5.19920000e+00,\n", - " 7.90600000e-01, 8.97800000e-01, 1.74200000e-01, 4.69000000e-01,\n", - " 9.64800000e-01, 1.84920000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.33062000e+01, 1.93496000e+01, 4.20090000e+01, 1.09880000e+00,\n", - " 1.20600000e+00, 6.56600000e-01, 1.47400000e-01, 1.60800000e-01,\n", - " 4.02000000e-01, 3.48400000e-01, 2.15740000e+00, 1.96980000e+00,\n", - " 1.84920000e+00, 5.36000000e-01, 1.38824000e+01, 2.54198000e+01,\n", - " 3.88600000e-01, 3.35000000e-01, 8.97800000e-01, 3.61800000e-01,\n", - " 4.02000000e-01, 9.51400000e-01, 1.79560000e+00, 6.43200000e-01,\n", - " 9.11200000e-01, 9.38000000e-01, 1.20600000e-01, 2.29140000e+00,\n", - " 2.94800000e-01, 7.10200000e-01, 8.44200000e-01, 2.18420000e+00,\n", - " 1.70180000e+00, 1.47400000e-01, 2.53260000e+00, 7.63800000e-01,\n", - " 5.49400000e-01, 6.03000000e-01, 1.42040000e+00, 7.23600000e-01,\n", - " 1.56780000e+00, 8.04000000e-02, 7.37000000e-01, 4.55600000e-01,\n", - " 6.43200000e-01, 2.27800000e-01, 2.62506000e+01, 6.70000000e-01,\n", - " 5.89600000e-01, 2.68000000e+01, 9.64800000e-01, 1.74200000e-01,\n", - " 0.00000000e+00, 1.74200000e-01, 8.04000000e-02, 6.70000000e-01,\n", - " 9.24600000e-01, 1.87600000e-01, 7.10200000e-01, 8.84400000e+00,\n", - " 5.64140000e+00, 6.82060000e+00, 2.37984000e+01, 2.06628000e+01,\n", - " 5.62800000e-01, 3.21600000e-01, 5.41360000e+00, 3.48400000e+00,\n", - " 1.17786000e+01, 8.36160000e+00, 1.20600000e-01, 2.94800000e+00,\n", - " 8.44200000e-01, 1.19662000e+01, 6.70000000e-02, 9.38000000e-02,\n", - " 1.47400000e-01, 6.70000000e-02, 4.22100000e+00, 3.33660000e+00,\n", - " 3.35000000e+00, 1.05190000e+01, 5.49400000e-01, 1.34000000e-01,\n", - " 5.23940000e+00, 1.74200000e-01, 5.49400000e-01, 8.45540000e+00,\n", - " 5.76200000e-01, 5.36000000e-01, 5.09200000e-01, 5.89600000e-01,\n", - " 3.08200000e-01, 6.84740000e+00, 3.88600000e+00, 1.20600000e+00,\n", - " 1.83580000e+00, 6.43200000e-01, 1.20600000e-01, 3.43040000e+00,\n", - " 2.14400000e+00, 4.89100000e+00, 4.82400000e-01, 8.57600000e-01,\n", - " 3.08200000e-01, 4.95800000e-01, 1.00500000e+00, 3.84580000e+00,\n", - " 1.08540000e+00, 3.95300000e+00, 1.51420000e+00, 5.62800000e-01,\n", - " 1.17920000e+00, 2.02340000e+00, 3.37680000e+00, 9.21920000e+00,\n", - " 1.03180000e+00, 4.89100000e+00, 4.55600000e-01, 4.42200000e-01,\n", - " 1.20600000e+00, 2.45220000e+00, 9.38000000e-01, 2.78720000e+00,\n", - " 1.87600000e-01, 6.29800000e-01, 3.48400000e+00, 1.82240000e+00,\n", - " 2.27800000e-01, 4.15400000e-01, 1.46060000e+00, 8.44200000e-01,\n", - " 1.59460000e+00, 1.07200000e+00, 1.47400000e-01, 4.69000000e-01,\n", - " 1.07200000e-01, 1.34000000e-02, 5.44040000e+00, 7.27620000e+00,\n", - " 3.48400000e-01, 2.54600000e-01, 1.60934000e+01, 7.26280000e+00,\n", - " 1.38020000e+00, 5.44040000e+00, 8.44200000e-01, 2.84080000e+00,\n", - " 3.75200000e-01, 3.35000000e-01, 3.79220000e+00, 4.55600000e-01,\n", - " 1.74200000e-01, 2.63980000e+00, 1.48740000e+00, 6.96800000e-01,\n", - " 6.13720000e+00, 2.14400000e-01, 4.95800000e-01, 2.54600000e-01,\n", - " 3.61800000e-01, 1.34000000e-01, 8.37500000e+00, 4.36840000e+00,\n", - " 4.95800000e-01, 2.27800000e-01, 3.56440000e+00, 3.75200000e-01,\n", - " 1.78220000e+00, 1.34000000e-02, 1.64820000e+00, 2.11720000e+00,\n", - " 6.03000000e-01, 1.99660000e+00, 3.35000000e-01, 1.06530000e+01,\n", - " 4.55600000e-01, 4.42200000e-01, 4.15400000e-01, 1.53296000e+01,\n", - " 4.69000000e-01, 1.11220000e+00, 1.20600000e-01, 6.70000000e-02,\n", - " 3.71180000e+00, 1.32660000e+00, 1.07200000e-01, 0.00000000e+00,\n", - " 4.71680000e+00, 2.43880000e+00, 7.02160000e+00, 3.05520000e+00,\n", - " 8.04000000e-02, 5.36000000e-02, 4.02000000e-01, 1.82240000e+00,\n", - " 2.15740000e+00, 3.35000000e-01, 0.00000000e+00, 1.20600000e-01,\n", - " 1.25960000e+00, 2.41200000e-01, 4.28800000e-01, 7.10200000e-01,\n", - " 4.70340000e+00, 3.08200000e+00, 9.38000000e-02, 3.21600000e-01,\n", - " 1.74200000e-01, 1.34000000e-01, 1.34000000e-01, 4.02000000e-01,\n", - " 4.02000000e-01, 5.15900000e+00, 4.91780000e+00, 3.75200000e-01,\n", - " 5.22600000e-01, 2.01000000e-01, 1.47400000e-01, 4.42200000e-01,\n", - " 1.34000000e-01, 1.34000000e-01, 9.11200000e-01, 6.96800000e-01,\n", - " 9.51400000e-01, 1.19260000e+00, 1.01706000e+01, 2.09040000e+00,\n", - " 1.84920000e+00, 1.92960000e+00, 3.60460000e+00, 2.68000000e-01,\n", - " 1.74200000e+00, 4.97140000e+00, 3.48400000e-01, 1.41504000e+01,\n", - " 1.05994000e+01, 6.49900000e+00, 7.23600000e-01, 2.01000000e-01,\n", - " 1.18590000e+01, 3.00160000e+00, 4.99820000e+00, 1.09880000e+00,\n", - " 2.54600000e-01, 4.10040000e+00, 3.29640000e+00, 1.34000000e-01,\n", - " 5.36000000e-02, 4.02000000e-02, 1.20600000e+00, 5.36000000e-02,\n", - " 5.58780000e+00, 1.19796000e+01, 5.36000000e-01, 1.09880000e+00,\n", - " 2.46560000e+00, 6.70000000e-02, 3.08200000e-01, 3.61800000e+00,\n", - " 3.88600000e-01, 6.43200000e-01, 1.38020000e+00, 7.51740000e+00,\n", - " 4.14060000e+00, 8.57600000e-01, 1.35340000e+00, 1.79560000e+00,\n", - " 2.01000000e-01, 9.11200000e-01, 1.15240000e+00, 4.82400000e-01,\n", - " 6.70000000e-02, 7.23600000e-01, 3.48400000e-01, 3.35000000e-01,\n", - " 7.63800000e-01, 9.51400000e-01, 1.40700000e+00, 3.75200000e-01,\n", - " 4.02000000e-02, 5.09200000e-01, 6.47220000e+00, 3.61800000e-01,\n", - " 3.16240000e+00, 3.21600000e-01, 1.15240000e+00, 6.56600000e+00,\n", - " 1.03046000e+01, 2.30480000e+00, 4.39520000e+00, 5.09200000e-01,\n", - " 4.69000000e-01, 3.35000000e-01, 2.45220000e+00, 4.02000000e-01,\n", - " 4.28800000e-01, 2.41200000e-01, 6.70000000e-01, 6.43200000e-01,\n", - " 6.83400000e+00, 1.96980000e+00, 7.77200000e-01, 1.34000000e-02,\n", - " 6.56600000e-01, 2.47900000e+00, 2.85420000e+00, 2.68000000e+00,\n", - " 2.54600000e-01, 9.91600000e-01, 1.87600000e+00, 3.35000000e-01,\n", - " 8.44200000e-01, 5.09200000e-01, 2.27800000e-01, 3.75200000e-01,\n", - " 8.17400000e-01, 6.29800000e-01, 5.49400000e-01, 1.07200000e-01,\n", - " 4.03340000e+00, 5.13220000e+00, 2.01000000e-01, 2.14400000e-01,\n", - " 4.69000000e-01, 1.49812000e+01, 8.10700000e+00, 1.74200000e-01,\n", - " 5.72180000e+00, 2.97480000e+00, 1.34000000e-02, 5.76200000e-01,\n", - " 3.21600000e-01, 2.73360000e+00, 4.02000000e+00, 5.52080000e+00,\n", - " 3.75200000e-01, 1.07334000e+01, 1.83580000e+00, 7.77200000e+00,\n", - " 1.00500000e+00, 1.40700000e+00, 5.98980000e+00, 4.52920000e+00,\n", - " 1.86260000e+00, 2.13060000e+00, 0.00000000e+00, 1.34000000e+00,\n", - " 1.19260000e+00, 1.60800000e-01, 8.04000000e-02, 1.47400000e-01,\n", - " 2.27800000e-01, 4.28800000e-01, 8.84400000e-01, 6.03000000e-01,\n", - " 5.09200000e-01, 2.39860000e+00, 2.61300000e+00, 5.36000000e-02,\n", - " 5.22600000e-01, 7.23600000e-01, 3.21600000e-01, 4.95800000e-01,\n", - " 2.68000000e-01, 8.71000000e-01, 2.23780000e+00, 3.21600000e-01,\n", - " 2.54600000e-01, 1.46864000e+01, 5.76200000e-01, 4.95800000e-01,\n", - " 4.28800000e-01, 2.74700000e+00, 6.29800000e-01, 2.27800000e-01,\n", - " 1.92960000e+00, 5.09200000e-01, 3.55100000e+00, 9.38000000e-01,\n", - " 8.02660000e+00, 5.80220000e+00, 5.49400000e+00, 4.95800000e-01,\n", - " 5.36000000e-02, 6.29800000e-01, 1.47400000e-01, 3.61800000e-01,\n", - " 7.45040000e+00, 3.88600000e-01, 4.02000000e-02, 2.14400000e-01,\n", - " 4.98480000e+00, 1.25960000e+00, 2.94800000e-01, 1.01840000e+00,\n", - " 4.93120000e+00, 8.95120000e+00, 1.64016000e+01, 1.90280000e+00,\n", - " 8.62960000e+00, 1.15910000e+01, 1.00500000e+00, 5.22600000e-01,\n", - " 1.40700000e+00, 1.96712000e+01, 1.05056000e+01, 5.36000000e-02,\n", - " 6.03000000e-01, 8.84400000e-01, 3.75200000e-01, 1.71520000e+00,\n", - " 7.77200000e-01, 1.34000000e+00, 1.48740000e+00, 7.91940000e+00,\n", - " 1.86260000e+00, 1.07200000e-01, 2.25120000e+00, 3.55100000e+00,\n", - " 2.13060000e+00, 1.86260000e+00, 1.20600000e-01, 1.03180000e+00,\n", - " 6.29800000e-01, 2.27800000e-01, 1.20600000e-01, 9.90260000e+00,\n", - " 7.23600000e-01, 2.81400000e-01, 9.38000000e-01, 1.79560000e+00,\n", - " 1.05994000e+01, 5.92280000e+00, 9.24600000e-01, 1.28640000e+00,\n", - " 5.19920000e+00, 7.37000000e-01, 1.25960000e+00, 4.02000000e+00,\n", - " 3.40360000e+00, 4.95800000e-01, 6.17740000e+00, 5.62800000e-01,\n", - " 1.23012000e+01, 6.56600000e-01, 1.96980000e+00, 9.38000000e-02,\n", - " 6.70000000e-02, 1.74200000e-01, 1.01840000e+00, 6.83400000e-01,\n", - " 1.09880000e+00, 6.03000000e-01, 4.69000000e-01, 5.76200000e-01,\n", - " 2.02340000e+00, 6.96800000e-01, 2.81400000e-01, 2.68000000e+00,\n", - " 2.27800000e-01, 8.60280000e+00, 2.07700000e+00, 2.11720000e+00,\n", - " 4.95800000e-01, 7.77200000e-01, 2.94800000e-01, 9.56760000e+00,\n", - " 3.75200000e-01, 1.74200000e-01, 1.99660000e+00, 1.77416000e+01,\n", - " 2.68000000e-01, 4.28800000e-01, 5.36000000e-02, 8.20080000e+00,\n", - " 1.34000000e-01, 1.84920000e+00, 2.68000000e-01, 7.38340000e+00,\n", - " 3.00160000e+00, 1.20600000e-01, 2.68000000e-02, 4.95800000e+00,\n", - " 9.38000000e-02, 8.17400000e-01, 2.73360000e+00, 7.23600000e-01,\n", - " 3.30980000e+00, 1.11220000e+00, 2.35840000e+00, 3.75200000e-01,\n", - " 6.96800000e-01, 1.20600000e-01, 1.01974000e+01, 1.04520000e+01,\n", - " 2.26460000e+00, 5.56100000e+00, 1.14168000e+01, 4.42200000e-01,\n", - " 6.70000000e-02, 2.27800000e-01, 4.69000000e-01, 6.03000000e-01,\n", - " 2.01000000e-01, 8.04000000e-02, 4.42200000e-01, 1.07200000e+00,\n", - " 1.48740000e+00, 4.42200000e-01, 2.41200000e-01, 2.27800000e-01,\n", - " 3.08200000e-01, 4.02000000e-02, 9.91600000e-01, 5.09200000e-01,\n", - " 2.41200000e-01, 1.24620000e+00, 1.07200000e-01, 1.91620000e+00,\n", - " 3.26960000e+00, 1.19260000e+00, 3.10880000e+00, 5.64140000e+00,\n", - " 1.78220000e+00, 8.57600000e+00, 9.38000000e-01, 1.64820000e+00,\n", - " 3.21600000e+00, 1.29980000e+00, 6.16400000e-01, 7.77200000e-01,\n", - " 3.48400000e-01, 4.42200000e-01, 1.34000000e-02, 4.95800000e-01,\n", - " 2.27800000e-01, 1.20600000e-01, 5.49400000e-01, 2.50580000e+00,\n", - " 5.89600000e-01, 4.82400000e-01, 2.01000000e-01, 8.71000000e-01,\n", - " 5.73520000e+00, 2.42540000e+00, 6.56600000e-01, 1.59460000e+00,\n", - " 4.69000000e-01, 1.17920000e+01, 8.30800000e-01, 4.00660000e+00,\n", - " 8.04000000e-01, 1.01840000e+00, 4.15400000e-01, 1.17920000e+00,\n", - " 6.16400000e-01, 4.42200000e-01, 1.50080000e+00, 8.04000000e-02,\n", - " 2.41200000e-01, 6.29800000e-01, 4.69000000e-01, 6.16400000e-01,\n", - " 1.74200000e-01, 8.97800000e-01, 5.36000000e+00, 1.54100000e+00,\n", - " 2.42540000e+00, 1.46060000e+00, 8.44200000e-01, 1.84920000e+00,\n", - " 6.17740000e+00, 4.70340000e+00, 3.48400000e-01, 1.39360000e+00,\n", - " 7.10200000e-01, 9.24600000e-01, 2.09040000e+00, 3.97980000e+00,\n", - " 4.02000000e-02, 6.70000000e-02, 4.73020000e+00, 4.87760000e+00,\n", - " 7.50400000e-01, 9.38000000e-02, 5.22600000e-01, 3.48400000e-01,\n", - " 4.02000000e-02, 9.38000000e-02, 4.02000000e-01, 4.69000000e-01,\n", - " 5.31980000e+00, 2.57280000e+00, 2.81400000e-01, 7.90600000e-01,\n", - " 5.52080000e+00, 3.21600000e-01, 1.00232000e+01, 4.82400000e-01,\n", - " 7.22260000e+00, 6.56600000e-01, 2.85420000e+00, 5.36000000e-02,\n", - " 1.74200000e-01, 4.55600000e-01, 1.87600000e-01, 3.04180000e+00,\n", - " 1.84920000e+00, 1.46060000e+00, 2.14400000e-01, 5.76200000e-01,\n", - " 4.02000000e-02, 2.46560000e+00, 6.83400000e-01, 8.04000000e-02,\n", - " 1.12560000e+00, 3.92620000e+00, 1.39360000e+00, 1.34000000e-02,\n", - " 5.81560000e+00, 4.02000000e-01, 4.10040000e+00, 6.70000000e-02,\n", - " 4.02000000e-02, 5.22600000e-01, 2.43880000e+00, 3.75200000e-01,\n", - " 1.01840000e+00, 2.37180000e+00, 1.20600000e-01, 1.60800000e-01,\n", - " 8.46880000e+00, 5.36000000e-02, 5.36000000e-02, 4.28800000e-01,\n", - " 4.95800000e-01, 4.28800000e-01, 1.47400000e-01, 7.23600000e-01,\n", - " 6.16400000e-01, 8.57600000e-01, 6.43200000e-01, 1.84920000e+00,\n", - " 3.33660000e+00, 2.54600000e-01, 1.34000000e-01, 3.48400000e-01,\n", - " 5.76200000e-01, 5.89600000e-01, 1.92960000e+00, 2.27800000e-01,\n", - " 1.20600000e-01, 6.56600000e-01, 3.41700000e+00, 1.11220000e+00,\n", - " 6.29800000e-01, 2.37448000e+01, 2.68000000e-02, 2.94800000e-01,\n", - " 2.81400000e-01, 8.04000000e-02, 9.38000000e-02, 1.20600000e-01,\n", - " 1.07200000e-01, 7.77200000e-01, 1.87600000e-01, 2.49240000e+00,\n", - " 1.28908000e+01, 7.37000000e-01, 2.54600000e-01, 8.71000000e-01,\n", - " 4.64980000e+00, 3.61800000e-01, 2.27800000e-01, 1.00500000e+00,\n", - " 2.01000000e-01, 1.16580000e+00, 1.98320000e+00, 1.62140000e+00,\n", - " 1.47400000e-01, 7.50400000e-01, 5.22600000e-01, 3.88600000e-01,\n", - " 6.29800000e-01, 3.51080000e+00, 7.50400000e-01, 1.21940000e+00,\n", - " 1.98320000e+00, 2.41200000e+00, 1.87600000e-01, 5.36000000e-01,\n", - " 2.22440000e+00, 2.03680000e+00, 7.26280000e+00, 1.74200000e-01,\n", - " 2.66660000e+00, 3.21600000e-01, 7.90600000e-01, 1.11220000e+00,\n", - " 2.68000000e-01, 1.11220000e+00, 4.02000000e-01, 3.35000000e-01,\n", - " 9.38000000e-01, 1.05860000e+00, 2.41200000e-01, 1.07200000e-01,\n", - " 8.57600000e-01, 1.51420000e+00, 9.51400000e-01, 6.29800000e-01,\n", - " 3.61800000e-01, 4.02000000e-02, 1.52760000e+00, 4.30140000e+00,\n", - " 5.76200000e-01, 2.94800000e-01, 1.34000000e-02, 8.84400000e-01,\n", - " 6.29800000e-01, 2.01000000e-01, 2.41200000e-01, 1.05860000e+00,\n", - " 3.21600000e-01, 6.86080000e+00, 6.29800000e-01, 2.41200000e-01,\n", - " 0.00000000e+00, 1.36680000e+00, 3.21600000e-01, 4.28800000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.58367497e+03, -2.52731782e+03, -9.87986292e+01, -6.31034007e+01,\n", - " 0.00000000e+00, -1.08567024e+02, -3.57685291e+01, 0.00000000e+00,\n", - " 0.00000000e+00, 4.95895396e+00, -2.32624926e+02, -2.23114543e+02,\n", - " 0.00000000e+00, -1.05947190e+03, 7.48283780e+02]), array([ 8.84400000e-01, 4.13160000e+00, 8.06520000e+00, 5.71560000e+00,\n", - " 3.03600000e-01, 5.54400000e-01, 3.69600000e-01, 7.78800000e-01,\n", - " 1.28040000e+00, 1.98000000e-01, 7.78800000e-01, 6.20400000e-01,\n", - " 1.38864000e+01, 5.28000000e-02, 1.84800000e-01, 1.18800000e-01,\n", - " 6.93000000e+00, 4.98960000e+00, 7.52400000e-01, 1.17480000e+00,\n", - " 2.77200000e-01, 1.45200000e-01, 7.92000000e-02, 0.00000000e+00,\n", - " 2.64000000e-01, 8.71200000e-01, 6.60000000e-02, 5.08200000e+00,\n", - " 9.90000000e-01, 4.07880000e+00, 2.16480000e+00, 1.65000000e+00,\n", - " 1.82160000e+00, 7.92000000e-02, 0.00000000e+00, 9.24000000e-02,\n", - " 1.02960000e+00, 4.75200000e-01, 2.37600000e-01, 1.71600000e-01,\n", - " 5.94000000e-01, 5.54400000e-01, 1.49160000e+00, 3.14160000e+00,\n", - " 5.01600000e-01, 5.21400000e+00, 1.65000000e+00, 6.63960000e+00,\n", - " 8.31600000e-01, 2.32056000e+01, 1.45200000e-01, 1.84800000e-01,\n", - " 6.07200000e-01, 4.35600000e-01, 9.76800000e-01, 2.37600000e-01,\n", - " 8.71200000e-01, 6.94320000e+00, 1.20516000e+01, 3.23400000e+00,\n", - " 2.25720000e+00, 1.98000000e+00, 7.92000000e-01, 3.37920000e+00,\n", - " 4.09200000e-01, 3.30000000e-01, 3.22080000e+00, 2.74560000e+00,\n", - " 1.32000000e-01, 0.00000000e+00, 6.07200000e-01, 6.20400000e-01,\n", - " 5.28000000e-02, 1.45200000e-01, 1.10880000e+00, 2.27040000e+00,\n", - " 1.34640000e+00, 4.35600000e-01, 4.48800000e-01, 3.32640000e+00,\n", - " 7.73520000e+00, 6.87720000e+00, 1.50480000e+00, 2.42880000e+00,\n", - " 2.83800000e+00, 3.16800000e+00, 3.56400000e-01, 7.39200000e-01,\n", - " 1.32000000e-01, 1.58400000e-01, 2.37600000e-01, 0.00000000e+00,\n", - " 6.60000000e-02, 1.84800000e-01, 2.67960000e+00, 6.99600000e-01,\n", - " 7.92000000e-02, 0.00000000e+00, 1.98000000e-01, 2.15160000e+00,\n", - " 1.71600000e+00, 6.12480000e+00, 8.02560000e+00, 1.49160000e+00,\n", - " 2.37600000e-01, 1.18800000e-01, 6.20400000e-01, 1.18800000e-01,\n", - " 3.55080000e+00, 2.75880000e+00, 8.44800000e-01, 6.86400000e-01,\n", - " 7.19400000e+00, 1.45200000e+00, 0.00000000e+00, 3.47160000e+00,\n", - " 2.28360000e+00, 1.12728000e+01, 1.82160000e+00, 5.39880000e+00,\n", - " 1.12200000e+00, 1.53120000e+00, 4.18440000e+00, 7.02240000e+00,\n", - " 6.28320000e+00, 1.25796000e+01, 1.87440000e+00, 8.05200000e-01,\n", - " 5.34600000e+00, 6.62640000e+00, 2.25720000e+00, 1.24080000e+00,\n", - " 2.64000000e-01, 1.05600000e+00, 1.96680000e+00, 1.37280000e+00,\n", - " 1.16160000e+00, 3.43200000e+00, 9.76800000e-01, 3.30000000e-01,\n", - " 6.56040000e+00, 5.58360000e+00, 4.89720000e+00, 5.12160000e+00,\n", - " 7.78800000e-01, 8.84400000e-01, 1.71600000e-01, 4.62000000e-01,\n", - " 9.50400000e-01, 1.82160000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.31076000e+01, 1.90608000e+01, 4.13820000e+01, 1.08240000e+00,\n", - " 1.18800000e+00, 6.46800000e-01, 1.45200000e-01, 1.58400000e-01,\n", - " 3.96000000e-01, 3.43200000e-01, 2.12520000e+00, 1.94040000e+00,\n", - " 1.82160000e+00, 5.28000000e-01, 1.36752000e+01, 2.50404000e+01,\n", - " 3.82800000e-01, 3.30000000e-01, 8.84400000e-01, 3.56400000e-01,\n", - " 3.96000000e-01, 9.37200000e-01, 1.76880000e+00, 6.33600000e-01,\n", - " 8.97600000e-01, 9.24000000e-01, 1.18800000e-01, 2.25720000e+00,\n", - " 2.90400000e-01, 6.99600000e-01, 8.31600000e-01, 2.15160000e+00,\n", - " 1.67640000e+00, 1.45200000e-01, 2.49480000e+00, 7.52400000e-01,\n", - " 5.41200000e-01, 5.94000000e-01, 1.39920000e+00, 7.12800000e-01,\n", - " 1.54440000e+00, 7.92000000e-02, 7.26000000e-01, 4.48800000e-01,\n", - " 6.33600000e-01, 2.24400000e-01, 2.58588000e+01, 6.60000000e-01,\n", - " 5.80800000e-01, 2.64000000e+01, 9.50400000e-01, 1.71600000e-01,\n", - " 0.00000000e+00, 1.71600000e-01, 7.92000000e-02, 6.60000000e-01,\n", - " 9.10800000e-01, 1.84800000e-01, 6.99600000e-01, 8.71200000e+00,\n", - " 5.55720000e+00, 6.71880000e+00, 2.34432000e+01, 2.03544000e+01,\n", - " 5.54400000e-01, 3.16800000e-01, 5.33280000e+00, 3.43200000e+00,\n", - " 1.16028000e+01, 8.23680000e+00, 1.18800000e-01, 2.90400000e+00,\n", - " 8.31600000e-01, 1.17876000e+01, 6.60000000e-02, 9.24000000e-02,\n", - " 1.45200000e-01, 6.60000000e-02, 4.15800000e+00, 3.28680000e+00,\n", - " 3.30000000e+00, 1.03620000e+01, 5.41200000e-01, 1.32000000e-01,\n", - " 5.16120000e+00, 1.71600000e-01, 5.41200000e-01, 8.32920000e+00,\n", - " 5.67600000e-01, 5.28000000e-01, 5.01600000e-01, 5.80800000e-01,\n", - " 3.03600000e-01, 6.74520000e+00, 3.82800000e+00, 1.18800000e+00,\n", - " 1.80840000e+00, 6.33600000e-01, 1.18800000e-01, 3.37920000e+00,\n", - " 2.11200000e+00, 4.81800000e+00, 4.75200000e-01, 8.44800000e-01,\n", - " 3.03600000e-01, 4.88400000e-01, 9.90000000e-01, 3.78840000e+00,\n", - " 1.06920000e+00, 3.89400000e+00, 1.49160000e+00, 5.54400000e-01,\n", - " 1.16160000e+00, 1.99320000e+00, 3.32640000e+00, 9.08160000e+00,\n", - " 1.01640000e+00, 4.81800000e+00, 4.48800000e-01, 4.35600000e-01,\n", - " 1.18800000e+00, 2.41560000e+00, 9.24000000e-01, 2.74560000e+00,\n", - " 1.84800000e-01, 6.20400000e-01, 3.43200000e+00, 1.79520000e+00,\n", - " 2.24400000e-01, 4.09200000e-01, 1.43880000e+00, 8.31600000e-01,\n", - " 1.57080000e+00, 1.05600000e+00, 1.45200000e-01, 4.62000000e-01,\n", - " 1.05600000e-01, 1.32000000e-02, 5.35920000e+00, 7.16760000e+00,\n", - " 3.43200000e-01, 2.50800000e-01, 1.58532000e+01, 7.15440000e+00,\n", - " 1.35960000e+00, 5.35920000e+00, 8.31600000e-01, 2.79840000e+00,\n", - " 3.69600000e-01, 3.30000000e-01, 3.73560000e+00, 4.48800000e-01,\n", - " 1.71600000e-01, 2.60040000e+00, 1.46520000e+00, 6.86400000e-01,\n", - " 6.04560000e+00, 2.11200000e-01, 4.88400000e-01, 2.50800000e-01,\n", - " 3.56400000e-01, 1.32000000e-01, 8.25000000e+00, 4.30320000e+00,\n", - " 4.88400000e-01, 2.24400000e-01, 3.51120000e+00, 3.69600000e-01,\n", - " 1.75560000e+00, 1.32000000e-02, 1.62360000e+00, 2.08560000e+00,\n", - " 5.94000000e-01, 1.96680000e+00, 3.30000000e-01, 1.04940000e+01,\n", - " 4.48800000e-01, 4.35600000e-01, 4.09200000e-01, 1.51008000e+01,\n", - " 4.62000000e-01, 1.09560000e+00, 1.18800000e-01, 6.60000000e-02,\n", - " 3.65640000e+00, 1.30680000e+00, 1.05600000e-01, 0.00000000e+00,\n", - " 4.64640000e+00, 2.40240000e+00, 6.91680000e+00, 3.00960000e+00,\n", - " 7.92000000e-02, 5.28000000e-02, 3.96000000e-01, 1.79520000e+00,\n", - " 2.12520000e+00, 3.30000000e-01, 0.00000000e+00, 1.18800000e-01,\n", - " 1.24080000e+00, 2.37600000e-01, 4.22400000e-01, 6.99600000e-01,\n", - " 4.63320000e+00, 3.03600000e+00, 9.24000000e-02, 3.16800000e-01,\n", - " 1.71600000e-01, 1.32000000e-01, 1.32000000e-01, 3.96000000e-01,\n", - " 3.96000000e-01, 5.08200000e+00, 4.84440000e+00, 3.69600000e-01,\n", - " 5.14800000e-01, 1.98000000e-01, 1.45200000e-01, 4.35600000e-01,\n", - " 1.32000000e-01, 1.32000000e-01, 8.97600000e-01, 6.86400000e-01,\n", - " 9.37200000e-01, 1.17480000e+00, 1.00188000e+01, 2.05920000e+00,\n", - " 1.82160000e+00, 1.90080000e+00, 3.55080000e+00, 2.64000000e-01,\n", - " 1.71600000e+00, 4.89720000e+00, 3.43200000e-01, 1.39392000e+01,\n", - " 1.04412000e+01, 6.40200000e+00, 7.12800000e-01, 1.98000000e-01,\n", - " 1.16820000e+01, 2.95680000e+00, 4.92360000e+00, 1.08240000e+00,\n", - " 2.50800000e-01, 4.03920000e+00, 3.24720000e+00, 1.32000000e-01,\n", - " 5.28000000e-02, 3.96000000e-02, 1.18800000e+00, 5.28000000e-02,\n", - " 5.50440000e+00, 1.18008000e+01, 5.28000000e-01, 1.08240000e+00,\n", - " 2.42880000e+00, 6.60000000e-02, 3.03600000e-01, 3.56400000e+00,\n", - " 3.82800000e-01, 6.33600000e-01, 1.35960000e+00, 7.40520000e+00,\n", - " 4.07880000e+00, 8.44800000e-01, 1.33320000e+00, 1.76880000e+00,\n", - " 1.98000000e-01, 8.97600000e-01, 1.13520000e+00, 4.75200000e-01,\n", - " 6.60000000e-02, 7.12800000e-01, 3.43200000e-01, 3.30000000e-01,\n", - " 7.52400000e-01, 9.37200000e-01, 1.38600000e+00, 3.69600000e-01,\n", - " 3.96000000e-02, 5.01600000e-01, 6.37560000e+00, 3.56400000e-01,\n", - " 3.11520000e+00, 3.16800000e-01, 1.13520000e+00, 6.46800000e+00,\n", - " 1.01508000e+01, 2.27040000e+00, 4.32960000e+00, 5.01600000e-01,\n", - " 4.62000000e-01, 3.30000000e-01, 2.41560000e+00, 3.96000000e-01,\n", - " 4.22400000e-01, 2.37600000e-01, 6.60000000e-01, 6.33600000e-01,\n", - " 6.73200000e+00, 1.94040000e+00, 7.65600000e-01, 1.32000000e-02,\n", - " 6.46800000e-01, 2.44200000e+00, 2.81160000e+00, 2.64000000e+00,\n", - " 2.50800000e-01, 9.76800000e-01, 1.84800000e+00, 3.30000000e-01,\n", - " 8.31600000e-01, 5.01600000e-01, 2.24400000e-01, 3.69600000e-01,\n", - " 8.05200000e-01, 6.20400000e-01, 5.41200000e-01, 1.05600000e-01,\n", - " 3.97320000e+00, 5.05560000e+00, 1.98000000e-01, 2.11200000e-01,\n", - " 4.62000000e-01, 1.47576000e+01, 7.98600000e+00, 1.71600000e-01,\n", - " 5.63640000e+00, 2.93040000e+00, 1.32000000e-02, 5.67600000e-01,\n", - " 3.16800000e-01, 2.69280000e+00, 3.96000000e+00, 5.43840000e+00,\n", - " 3.69600000e-01, 1.05732000e+01, 1.80840000e+00, 7.65600000e+00,\n", - " 9.90000000e-01, 1.38600000e+00, 5.90040000e+00, 4.46160000e+00,\n", - " 1.83480000e+00, 2.09880000e+00, 0.00000000e+00, 1.32000000e+00,\n", - " 1.17480000e+00, 1.58400000e-01, 7.92000000e-02, 1.45200000e-01,\n", - " 2.24400000e-01, 4.22400000e-01, 8.71200000e-01, 5.94000000e-01,\n", - " 5.01600000e-01, 2.36280000e+00, 2.57400000e+00, 5.28000000e-02,\n", - " 5.14800000e-01, 7.12800000e-01, 3.16800000e-01, 4.88400000e-01,\n", - " 2.64000000e-01, 8.58000000e-01, 2.20440000e+00, 3.16800000e-01,\n", - " 2.50800000e-01, 1.44672000e+01, 5.67600000e-01, 4.88400000e-01,\n", - " 4.22400000e-01, 2.70600000e+00, 6.20400000e-01, 2.24400000e-01,\n", - " 1.90080000e+00, 5.01600000e-01, 3.49800000e+00, 9.24000000e-01,\n", - " 7.90680000e+00, 5.71560000e+00, 5.41200000e+00, 4.88400000e-01,\n", - " 5.28000000e-02, 6.20400000e-01, 1.45200000e-01, 3.56400000e-01,\n", - " 7.33920000e+00, 3.82800000e-01, 3.96000000e-02, 2.11200000e-01,\n", - " 4.91040000e+00, 1.24080000e+00, 2.90400000e-01, 1.00320000e+00,\n", - " 4.85760000e+00, 8.81760000e+00, 1.61568000e+01, 1.87440000e+00,\n", - " 8.50080000e+00, 1.14180000e+01, 9.90000000e-01, 5.14800000e-01,\n", - " 1.38600000e+00, 1.93776000e+01, 1.03488000e+01, 5.28000000e-02,\n", - " 5.94000000e-01, 8.71200000e-01, 3.69600000e-01, 1.68960000e+00,\n", - " 7.65600000e-01, 1.32000000e+00, 1.46520000e+00, 7.80120000e+00,\n", - " 1.83480000e+00, 1.05600000e-01, 2.21760000e+00, 3.49800000e+00,\n", - " 2.09880000e+00, 1.83480000e+00, 1.18800000e-01, 1.01640000e+00,\n", - " 6.20400000e-01, 2.24400000e-01, 1.18800000e-01, 9.75480000e+00,\n", - " 7.12800000e-01, 2.77200000e-01, 9.24000000e-01, 1.76880000e+00,\n", - " 1.04412000e+01, 5.83440000e+00, 9.10800000e-01, 1.26720000e+00,\n", - " 5.12160000e+00, 7.26000000e-01, 1.24080000e+00, 3.96000000e+00,\n", - " 3.35280000e+00, 4.88400000e-01, 6.08520000e+00, 5.54400000e-01,\n", - " 1.21176000e+01, 6.46800000e-01, 1.94040000e+00, 9.24000000e-02,\n", - " 6.60000000e-02, 1.71600000e-01, 1.00320000e+00, 6.73200000e-01,\n", - " 1.08240000e+00, 5.94000000e-01, 4.62000000e-01, 5.67600000e-01,\n", - " 1.99320000e+00, 6.86400000e-01, 2.77200000e-01, 2.64000000e+00,\n", - " 2.24400000e-01, 8.47440000e+00, 2.04600000e+00, 2.08560000e+00,\n", - " 4.88400000e-01, 7.65600000e-01, 2.90400000e-01, 9.42480000e+00,\n", - " 3.69600000e-01, 1.71600000e-01, 1.96680000e+00, 1.74768000e+01,\n", - " 2.64000000e-01, 4.22400000e-01, 5.28000000e-02, 8.07840000e+00,\n", - " 1.32000000e-01, 1.82160000e+00, 2.64000000e-01, 7.27320000e+00,\n", - " 2.95680000e+00, 1.18800000e-01, 2.64000000e-02, 4.88400000e+00,\n", - " 9.24000000e-02, 8.05200000e-01, 2.69280000e+00, 7.12800000e-01,\n", - " 3.26040000e+00, 1.09560000e+00, 2.32320000e+00, 3.69600000e-01,\n", - " 6.86400000e-01, 1.18800000e-01, 1.00452000e+01, 1.02960000e+01,\n", - " 2.23080000e+00, 5.47800000e+00, 1.12464000e+01, 4.35600000e-01,\n", - " 6.60000000e-02, 2.24400000e-01, 4.62000000e-01, 5.94000000e-01,\n", - " 1.98000000e-01, 7.92000000e-02, 4.35600000e-01, 1.05600000e+00,\n", - " 1.46520000e+00, 4.35600000e-01, 2.37600000e-01, 2.24400000e-01,\n", - " 3.03600000e-01, 3.96000000e-02, 9.76800000e-01, 5.01600000e-01,\n", - " 2.37600000e-01, 1.22760000e+00, 1.05600000e-01, 1.88760000e+00,\n", - " 3.22080000e+00, 1.17480000e+00, 3.06240000e+00, 5.55720000e+00,\n", - " 1.75560000e+00, 8.44800000e+00, 9.24000000e-01, 1.62360000e+00,\n", - " 3.16800000e+00, 1.28040000e+00, 6.07200000e-01, 7.65600000e-01,\n", - " 3.43200000e-01, 4.35600000e-01, 1.32000000e-02, 4.88400000e-01,\n", - " 2.24400000e-01, 1.18800000e-01, 5.41200000e-01, 2.46840000e+00,\n", - " 5.80800000e-01, 4.75200000e-01, 1.98000000e-01, 8.58000000e-01,\n", - " 5.64960000e+00, 2.38920000e+00, 6.46800000e-01, 1.57080000e+00,\n", - " 4.62000000e-01, 1.16160000e+01, 8.18400000e-01, 3.94680000e+00,\n", - " 7.92000000e-01, 1.00320000e+00, 4.09200000e-01, 1.16160000e+00,\n", - " 6.07200000e-01, 4.35600000e-01, 1.47840000e+00, 7.92000000e-02,\n", - " 2.37600000e-01, 6.20400000e-01, 4.62000000e-01, 6.07200000e-01,\n", - " 1.71600000e-01, 8.84400000e-01, 5.28000000e+00, 1.51800000e+00,\n", - " 2.38920000e+00, 1.43880000e+00, 8.31600000e-01, 1.82160000e+00,\n", - " 6.08520000e+00, 4.63320000e+00, 3.43200000e-01, 1.37280000e+00,\n", - " 6.99600000e-01, 9.10800000e-01, 2.05920000e+00, 3.92040000e+00,\n", - " 3.96000000e-02, 6.60000000e-02, 4.65960000e+00, 4.80480000e+00,\n", - " 7.39200000e-01, 9.24000000e-02, 5.14800000e-01, 3.43200000e-01,\n", - " 3.96000000e-02, 9.24000000e-02, 3.96000000e-01, 4.62000000e-01,\n", - " 5.24040000e+00, 2.53440000e+00, 2.77200000e-01, 7.78800000e-01,\n", - " 5.43840000e+00, 3.16800000e-01, 9.87360000e+00, 4.75200000e-01,\n", - " 7.11480000e+00, 6.46800000e-01, 2.81160000e+00, 5.28000000e-02,\n", - " 1.71600000e-01, 4.48800000e-01, 1.84800000e-01, 2.99640000e+00,\n", - " 1.82160000e+00, 1.43880000e+00, 2.11200000e-01, 5.67600000e-01,\n", - " 3.96000000e-02, 2.42880000e+00, 6.73200000e-01, 7.92000000e-02,\n", - " 1.10880000e+00, 3.86760000e+00, 1.37280000e+00, 1.32000000e-02,\n", - " 5.72880000e+00, 3.96000000e-01, 4.03920000e+00, 6.60000000e-02,\n", - " 3.96000000e-02, 5.14800000e-01, 2.40240000e+00, 3.69600000e-01,\n", - " 1.00320000e+00, 2.33640000e+00, 1.18800000e-01, 1.58400000e-01,\n", - " 8.34240000e+00, 5.28000000e-02, 5.28000000e-02, 4.22400000e-01,\n", - " 4.88400000e-01, 4.22400000e-01, 1.45200000e-01, 7.12800000e-01,\n", - " 6.07200000e-01, 8.44800000e-01, 6.33600000e-01, 1.82160000e+00,\n", - " 3.28680000e+00, 2.50800000e-01, 1.32000000e-01, 3.43200000e-01,\n", - " 5.67600000e-01, 5.80800000e-01, 1.90080000e+00, 2.24400000e-01,\n", - " 1.18800000e-01, 6.46800000e-01, 3.36600000e+00, 1.09560000e+00,\n", - " 6.20400000e-01, 2.33904000e+01, 2.64000000e-02, 2.90400000e-01,\n", - " 2.77200000e-01, 7.92000000e-02, 9.24000000e-02, 1.18800000e-01,\n", - " 1.05600000e-01, 7.65600000e-01, 1.84800000e-01, 2.45520000e+00,\n", - " 1.26984000e+01, 7.26000000e-01, 2.50800000e-01, 8.58000000e-01,\n", - " 4.58040000e+00, 3.56400000e-01, 2.24400000e-01, 9.90000000e-01,\n", - " 1.98000000e-01, 1.14840000e+00, 1.95360000e+00, 1.59720000e+00,\n", - " 1.45200000e-01, 7.39200000e-01, 5.14800000e-01, 3.82800000e-01,\n", - " 6.20400000e-01, 3.45840000e+00, 7.39200000e-01, 1.20120000e+00,\n", - " 1.95360000e+00, 2.37600000e+00, 1.84800000e-01, 5.28000000e-01,\n", - " 2.19120000e+00, 2.00640000e+00, 7.15440000e+00, 1.71600000e-01,\n", - " 2.62680000e+00, 3.16800000e-01, 7.78800000e-01, 1.09560000e+00,\n", - " 2.64000000e-01, 1.09560000e+00, 3.96000000e-01, 3.30000000e-01,\n", - " 9.24000000e-01, 1.04280000e+00, 2.37600000e-01, 1.05600000e-01,\n", - " 8.44800000e-01, 1.49160000e+00, 9.37200000e-01, 6.20400000e-01,\n", - " 3.56400000e-01, 3.96000000e-02, 1.50480000e+00, 4.23720000e+00,\n", - " 5.67600000e-01, 2.90400000e-01, 1.32000000e-02, 8.71200000e-01,\n", - " 6.20400000e-01, 1.98000000e-01, 2.37600000e-01, 1.04280000e+00,\n", - " 3.16800000e-01, 6.75840000e+00, 6.20400000e-01, 2.37600000e-01,\n", - " 0.00000000e+00, 1.34640000e+00, 3.16800000e-01, 4.22400000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.58124657e+03, -2.52731782e+03, -9.73240227e+01, -6.05908930e+01,\n", - " 0.00000000e+00, -1.03942631e+02, -3.13547389e+01, 0.00000000e+00,\n", - " 0.00000000e+00, 7.23573909e+00, -2.27476161e+02, -1.65580967e+02,\n", - " 0.00000000e+00, 2.88936156e+03, -3.24607824e+03]), array([ 8.84400000e-01, 4.13160000e+00, 8.06520000e+00, 5.71560000e+00,\n", - " 3.03600000e-01, 5.54400000e-01, 3.69600000e-01, 7.78800000e-01,\n", - " 1.28040000e+00, 1.98000000e-01, 7.78800000e-01, 6.20400000e-01,\n", - " 1.38864000e+01, 5.28000000e-02, 1.84800000e-01, 1.18800000e-01,\n", - " 6.93000000e+00, 4.98960000e+00, 7.52400000e-01, 1.17480000e+00,\n", - " 2.77200000e-01, 1.45200000e-01, 7.92000000e-02, 0.00000000e+00,\n", - " 2.64000000e-01, 8.71200000e-01, 6.60000000e-02, 5.08200000e+00,\n", - " 9.90000000e-01, 4.07880000e+00, 2.16480000e+00, 1.65000000e+00,\n", - " 1.82160000e+00, 7.92000000e-02, 0.00000000e+00, 9.24000000e-02,\n", - " 1.02960000e+00, 4.75200000e-01, 2.37600000e-01, 1.71600000e-01,\n", - " 5.94000000e-01, 5.54400000e-01, 1.49160000e+00, 3.14160000e+00,\n", - " 5.01600000e-01, 5.21400000e+00, 1.65000000e+00, 6.63960000e+00,\n", - " 8.31600000e-01, 2.32056000e+01, 1.45200000e-01, 1.84800000e-01,\n", - " 6.07200000e-01, 4.35600000e-01, 9.76800000e-01, 2.37600000e-01,\n", - " 8.71200000e-01, 6.94320000e+00, 1.20516000e+01, 3.23400000e+00,\n", - " 2.25720000e+00, 1.98000000e+00, 7.92000000e-01, 3.37920000e+00,\n", - " 4.09200000e-01, 3.30000000e-01, 3.22080000e+00, 2.74560000e+00,\n", - " 1.32000000e-01, 0.00000000e+00, 6.07200000e-01, 6.20400000e-01,\n", - " 5.28000000e-02, 1.45200000e-01, 1.10880000e+00, 2.27040000e+00,\n", - " 1.34640000e+00, 4.35600000e-01, 4.48800000e-01, 3.32640000e+00,\n", - " 7.73520000e+00, 6.87720000e+00, 1.50480000e+00, 2.42880000e+00,\n", - " 2.83800000e+00, 3.16800000e+00, 3.56400000e-01, 7.39200000e-01,\n", - " 1.32000000e-01, 1.58400000e-01, 2.37600000e-01, 0.00000000e+00,\n", - " 6.60000000e-02, 1.84800000e-01, 2.67960000e+00, 6.99600000e-01,\n", - " 7.92000000e-02, 0.00000000e+00, 1.98000000e-01, 2.15160000e+00,\n", - " 1.71600000e+00, 6.12480000e+00, 8.02560000e+00, 1.49160000e+00,\n", - " 2.37600000e-01, 1.18800000e-01, 6.20400000e-01, 1.18800000e-01,\n", - " 3.55080000e+00, 2.75880000e+00, 8.44800000e-01, 6.86400000e-01,\n", - " 7.19400000e+00, 1.45200000e+00, 0.00000000e+00, 3.47160000e+00,\n", - " 2.28360000e+00, 1.12728000e+01, 1.82160000e+00, 5.39880000e+00,\n", - " 1.12200000e+00, 1.53120000e+00, 4.18440000e+00, 7.02240000e+00,\n", - " 6.28320000e+00, 1.25796000e+01, 1.87440000e+00, 8.05200000e-01,\n", - " 5.34600000e+00, 6.62640000e+00, 2.25720000e+00, 1.24080000e+00,\n", - " 2.64000000e-01, 1.05600000e+00, 1.96680000e+00, 1.37280000e+00,\n", - " 1.16160000e+00, 3.43200000e+00, 9.76800000e-01, 3.30000000e-01,\n", - " 6.56040000e+00, 5.58360000e+00, 4.89720000e+00, 5.12160000e+00,\n", - " 7.78800000e-01, 8.84400000e-01, 1.71600000e-01, 4.62000000e-01,\n", - " 9.50400000e-01, 1.82160000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.31076000e+01, 1.90608000e+01, 4.13820000e+01, 1.08240000e+00,\n", - " 1.18800000e+00, 6.46800000e-01, 1.45200000e-01, 1.58400000e-01,\n", - " 3.96000000e-01, 3.43200000e-01, 2.12520000e+00, 1.94040000e+00,\n", - " 1.82160000e+00, 5.28000000e-01, 1.36752000e+01, 2.50404000e+01,\n", - " 3.82800000e-01, 3.30000000e-01, 8.84400000e-01, 3.56400000e-01,\n", - " 3.96000000e-01, 9.37200000e-01, 1.76880000e+00, 6.33600000e-01,\n", - " 8.97600000e-01, 9.24000000e-01, 1.18800000e-01, 2.25720000e+00,\n", - " 2.90400000e-01, 6.99600000e-01, 8.31600000e-01, 2.15160000e+00,\n", - " 1.67640000e+00, 1.45200000e-01, 2.49480000e+00, 7.52400000e-01,\n", - " 5.41200000e-01, 5.94000000e-01, 1.39920000e+00, 7.12800000e-01,\n", - " 1.54440000e+00, 7.92000000e-02, 7.26000000e-01, 4.48800000e-01,\n", - " 6.33600000e-01, 2.24400000e-01, 2.58588000e+01, 6.60000000e-01,\n", - " 5.80800000e-01, 2.64000000e+01, 9.50400000e-01, 1.71600000e-01,\n", - " 0.00000000e+00, 1.71600000e-01, 7.92000000e-02, 6.60000000e-01,\n", - " 9.10800000e-01, 1.84800000e-01, 6.99600000e-01, 8.71200000e+00,\n", - " 5.55720000e+00, 6.71880000e+00, 2.34432000e+01, 2.03544000e+01,\n", - " 5.54400000e-01, 3.16800000e-01, 5.33280000e+00, 3.43200000e+00,\n", - " 1.16028000e+01, 8.23680000e+00, 1.18800000e-01, 2.90400000e+00,\n", - " 8.31600000e-01, 1.17876000e+01, 6.60000000e-02, 9.24000000e-02,\n", - " 1.45200000e-01, 6.60000000e-02, 4.15800000e+00, 3.28680000e+00,\n", - " 3.30000000e+00, 1.03620000e+01, 5.41200000e-01, 1.32000000e-01,\n", - " 5.16120000e+00, 1.71600000e-01, 5.41200000e-01, 8.32920000e+00,\n", - " 5.67600000e-01, 5.28000000e-01, 5.01600000e-01, 5.80800000e-01,\n", - " 3.03600000e-01, 6.74520000e+00, 3.82800000e+00, 1.18800000e+00,\n", - " 1.80840000e+00, 6.33600000e-01, 1.18800000e-01, 3.37920000e+00,\n", - " 2.11200000e+00, 4.81800000e+00, 4.75200000e-01, 8.44800000e-01,\n", - " 3.03600000e-01, 4.88400000e-01, 9.90000000e-01, 3.78840000e+00,\n", - " 1.06920000e+00, 3.89400000e+00, 1.49160000e+00, 5.54400000e-01,\n", - " 1.16160000e+00, 1.99320000e+00, 3.32640000e+00, 9.08160000e+00,\n", - " 1.01640000e+00, 4.81800000e+00, 4.48800000e-01, 4.35600000e-01,\n", - " 1.18800000e+00, 2.41560000e+00, 9.24000000e-01, 2.74560000e+00,\n", - " 1.84800000e-01, 6.20400000e-01, 3.43200000e+00, 1.79520000e+00,\n", - " 2.24400000e-01, 4.09200000e-01, 1.43880000e+00, 8.31600000e-01,\n", - " 1.57080000e+00, 1.05600000e+00, 1.45200000e-01, 4.62000000e-01,\n", - " 1.05600000e-01, 1.32000000e-02, 5.35920000e+00, 7.16760000e+00,\n", - " 3.43200000e-01, 2.50800000e-01, 1.58532000e+01, 7.15440000e+00,\n", - " 1.35960000e+00, 5.35920000e+00, 8.31600000e-01, 2.79840000e+00,\n", - " 3.69600000e-01, 3.30000000e-01, 3.73560000e+00, 4.48800000e-01,\n", - " 1.71600000e-01, 2.60040000e+00, 1.46520000e+00, 6.86400000e-01,\n", - " 6.04560000e+00, 2.11200000e-01, 4.88400000e-01, 2.50800000e-01,\n", - " 3.56400000e-01, 1.32000000e-01, 8.25000000e+00, 4.30320000e+00,\n", - " 4.88400000e-01, 2.24400000e-01, 3.51120000e+00, 3.69600000e-01,\n", - " 1.75560000e+00, 1.32000000e-02, 1.62360000e+00, 2.08560000e+00,\n", - " 5.94000000e-01, 1.96680000e+00, 3.30000000e-01, 1.04940000e+01,\n", - " 4.48800000e-01, 4.35600000e-01, 4.09200000e-01, 1.51008000e+01,\n", - " 4.62000000e-01, 1.09560000e+00, 1.18800000e-01, 6.60000000e-02,\n", - " 3.65640000e+00, 1.30680000e+00, 1.05600000e-01, 0.00000000e+00,\n", - " 4.64640000e+00, 2.40240000e+00, 6.91680000e+00, 3.00960000e+00,\n", - " 7.92000000e-02, 5.28000000e-02, 3.96000000e-01, 1.79520000e+00,\n", - " 2.12520000e+00, 3.30000000e-01, 0.00000000e+00, 1.18800000e-01,\n", - " 1.24080000e+00, 2.37600000e-01, 4.22400000e-01, 6.99600000e-01,\n", - " 4.63320000e+00, 3.03600000e+00, 9.24000000e-02, 3.16800000e-01,\n", - " 1.71600000e-01, 1.32000000e-01, 1.32000000e-01, 3.96000000e-01,\n", - " 3.96000000e-01, 5.08200000e+00, 4.84440000e+00, 3.69600000e-01,\n", - " 5.14800000e-01, 1.98000000e-01, 1.45200000e-01, 4.35600000e-01,\n", - " 1.32000000e-01, 1.32000000e-01, 8.97600000e-01, 6.86400000e-01,\n", - " 9.37200000e-01, 1.17480000e+00, 1.00188000e+01, 2.05920000e+00,\n", - " 1.82160000e+00, 1.90080000e+00, 3.55080000e+00, 2.64000000e-01,\n", - " 1.71600000e+00, 4.89720000e+00, 3.43200000e-01, 1.39392000e+01,\n", - " 1.04412000e+01, 6.40200000e+00, 7.12800000e-01, 1.98000000e-01,\n", - " 1.16820000e+01, 2.95680000e+00, 4.92360000e+00, 1.08240000e+00,\n", - " 2.50800000e-01, 4.03920000e+00, 3.24720000e+00, 1.32000000e-01,\n", - " 5.28000000e-02, 3.96000000e-02, 1.18800000e+00, 5.28000000e-02,\n", - " 5.50440000e+00, 1.18008000e+01, 5.28000000e-01, 1.08240000e+00,\n", - " 2.42880000e+00, 6.60000000e-02, 3.03600000e-01, 3.56400000e+00,\n", - " 3.82800000e-01, 6.33600000e-01, 1.35960000e+00, 7.40520000e+00,\n", - " 4.07880000e+00, 8.44800000e-01, 1.33320000e+00, 1.76880000e+00,\n", - " 1.98000000e-01, 8.97600000e-01, 1.13520000e+00, 4.75200000e-01,\n", - " 6.60000000e-02, 7.12800000e-01, 3.43200000e-01, 3.30000000e-01,\n", - " 7.52400000e-01, 9.37200000e-01, 1.38600000e+00, 3.69600000e-01,\n", - " 3.96000000e-02, 5.01600000e-01, 6.37560000e+00, 3.56400000e-01,\n", - " 3.11520000e+00, 3.16800000e-01, 1.13520000e+00, 6.46800000e+00,\n", - " 1.01508000e+01, 2.27040000e+00, 4.32960000e+00, 5.01600000e-01,\n", - " 4.62000000e-01, 3.30000000e-01, 2.41560000e+00, 3.96000000e-01,\n", - " 4.22400000e-01, 2.37600000e-01, 6.60000000e-01, 6.33600000e-01,\n", - " 6.73200000e+00, 1.94040000e+00, 7.65600000e-01, 1.32000000e-02,\n", - " 6.46800000e-01, 2.44200000e+00, 2.81160000e+00, 2.64000000e+00,\n", - " 2.50800000e-01, 9.76800000e-01, 1.84800000e+00, 3.30000000e-01,\n", - " 8.31600000e-01, 5.01600000e-01, 2.24400000e-01, 3.69600000e-01,\n", - " 8.05200000e-01, 6.20400000e-01, 5.41200000e-01, 1.05600000e-01,\n", - " 3.97320000e+00, 5.05560000e+00, 1.98000000e-01, 2.11200000e-01,\n", - " 4.62000000e-01, 1.47576000e+01, 7.98600000e+00, 1.71600000e-01,\n", - " 5.63640000e+00, 2.93040000e+00, 1.32000000e-02, 5.67600000e-01,\n", - " 3.16800000e-01, 2.69280000e+00, 3.96000000e+00, 5.43840000e+00,\n", - " 3.69600000e-01, 1.05732000e+01, 1.80840000e+00, 7.65600000e+00,\n", - " 9.90000000e-01, 1.38600000e+00, 5.90040000e+00, 4.46160000e+00,\n", - " 1.83480000e+00, 2.09880000e+00, 0.00000000e+00, 1.32000000e+00,\n", - " 1.17480000e+00, 1.58400000e-01, 7.92000000e-02, 1.45200000e-01,\n", - " 2.24400000e-01, 4.22400000e-01, 8.71200000e-01, 5.94000000e-01,\n", - " 5.01600000e-01, 2.36280000e+00, 2.57400000e+00, 5.28000000e-02,\n", - " 5.14800000e-01, 7.12800000e-01, 3.16800000e-01, 4.88400000e-01,\n", - " 2.64000000e-01, 8.58000000e-01, 2.20440000e+00, 3.16800000e-01,\n", - " 2.50800000e-01, 1.44672000e+01, 5.67600000e-01, 4.88400000e-01,\n", - " 4.22400000e-01, 2.70600000e+00, 6.20400000e-01, 2.24400000e-01,\n", - " 1.90080000e+00, 5.01600000e-01, 3.49800000e+00, 9.24000000e-01,\n", - " 7.90680000e+00, 5.71560000e+00, 5.41200000e+00, 4.88400000e-01,\n", - " 5.28000000e-02, 6.20400000e-01, 1.45200000e-01, 3.56400000e-01,\n", - " 7.33920000e+00, 3.82800000e-01, 3.96000000e-02, 2.11200000e-01,\n", - " 4.91040000e+00, 1.24080000e+00, 2.90400000e-01, 1.00320000e+00,\n", - " 4.85760000e+00, 8.81760000e+00, 1.61568000e+01, 1.87440000e+00,\n", - " 8.50080000e+00, 1.14180000e+01, 9.90000000e-01, 5.14800000e-01,\n", - " 1.38600000e+00, 1.93776000e+01, 1.03488000e+01, 5.28000000e-02,\n", - " 5.94000000e-01, 8.71200000e-01, 3.69600000e-01, 1.68960000e+00,\n", - " 7.65600000e-01, 1.32000000e+00, 1.46520000e+00, 7.80120000e+00,\n", - " 1.83480000e+00, 1.05600000e-01, 2.21760000e+00, 3.49800000e+00,\n", - " 2.09880000e+00, 1.83480000e+00, 1.18800000e-01, 1.01640000e+00,\n", - " 6.20400000e-01, 2.24400000e-01, 1.18800000e-01, 9.75480000e+00,\n", - " 7.12800000e-01, 2.77200000e-01, 9.24000000e-01, 1.76880000e+00,\n", - " 1.04412000e+01, 5.83440000e+00, 9.10800000e-01, 1.26720000e+00,\n", - " 5.12160000e+00, 7.26000000e-01, 1.24080000e+00, 3.96000000e+00,\n", - " 3.35280000e+00, 4.88400000e-01, 6.08520000e+00, 5.54400000e-01,\n", - " 1.21176000e+01, 6.46800000e-01, 1.94040000e+00, 9.24000000e-02,\n", - " 6.60000000e-02, 1.71600000e-01, 1.00320000e+00, 6.73200000e-01,\n", - " 1.08240000e+00, 5.94000000e-01, 4.62000000e-01, 5.67600000e-01,\n", - " 1.99320000e+00, 6.86400000e-01, 2.77200000e-01, 2.64000000e+00,\n", - " 2.24400000e-01, 8.47440000e+00, 2.04600000e+00, 2.08560000e+00,\n", - " 4.88400000e-01, 7.65600000e-01, 2.90400000e-01, 9.42480000e+00,\n", - " 3.69600000e-01, 1.71600000e-01, 1.96680000e+00, 1.74768000e+01,\n", - " 2.64000000e-01, 4.22400000e-01, 5.28000000e-02, 8.07840000e+00,\n", - " 1.32000000e-01, 1.82160000e+00, 2.64000000e-01, 7.27320000e+00,\n", - " 2.95680000e+00, 1.18800000e-01, 2.64000000e-02, 4.88400000e+00,\n", - " 9.24000000e-02, 8.05200000e-01, 2.69280000e+00, 7.12800000e-01,\n", - " 3.26040000e+00, 1.09560000e+00, 2.32320000e+00, 3.69600000e-01,\n", - " 6.86400000e-01, 1.18800000e-01, 1.00452000e+01, 1.02960000e+01,\n", - " 2.23080000e+00, 5.47800000e+00, 1.12464000e+01, 4.35600000e-01,\n", - " 6.60000000e-02, 2.24400000e-01, 4.62000000e-01, 5.94000000e-01,\n", - " 1.98000000e-01, 7.92000000e-02, 4.35600000e-01, 1.05600000e+00,\n", - " 1.46520000e+00, 4.35600000e-01, 2.37600000e-01, 2.24400000e-01,\n", - " 3.03600000e-01, 3.96000000e-02, 9.76800000e-01, 5.01600000e-01,\n", - " 2.37600000e-01, 1.22760000e+00, 1.05600000e-01, 1.88760000e+00,\n", - " 3.22080000e+00, 1.17480000e+00, 3.06240000e+00, 5.55720000e+00,\n", - " 1.75560000e+00, 8.44800000e+00, 9.24000000e-01, 1.62360000e+00,\n", - " 3.16800000e+00, 1.28040000e+00, 6.07200000e-01, 7.65600000e-01,\n", - " 3.43200000e-01, 4.35600000e-01, 1.32000000e-02, 4.88400000e-01,\n", - " 2.24400000e-01, 1.18800000e-01, 5.41200000e-01, 2.46840000e+00,\n", - " 5.80800000e-01, 4.75200000e-01, 1.98000000e-01, 8.58000000e-01,\n", - " 5.64960000e+00, 2.38920000e+00, 6.46800000e-01, 1.57080000e+00,\n", - " 4.62000000e-01, 1.16160000e+01, 8.18400000e-01, 3.94680000e+00,\n", - " 7.92000000e-01, 1.00320000e+00, 4.09200000e-01, 1.16160000e+00,\n", - " 6.07200000e-01, 4.35600000e-01, 1.47840000e+00, 7.92000000e-02,\n", - " 2.37600000e-01, 6.20400000e-01, 4.62000000e-01, 6.07200000e-01,\n", - " 1.71600000e-01, 8.84400000e-01, 5.28000000e+00, 1.51800000e+00,\n", - " 2.38920000e+00, 1.43880000e+00, 8.31600000e-01, 1.82160000e+00,\n", - " 6.08520000e+00, 4.63320000e+00, 3.43200000e-01, 1.37280000e+00,\n", - " 6.99600000e-01, 9.10800000e-01, 2.05920000e+00, 3.92040000e+00,\n", - " 3.96000000e-02, 6.60000000e-02, 4.65960000e+00, 4.80480000e+00,\n", - " 7.39200000e-01, 9.24000000e-02, 5.14800000e-01, 3.43200000e-01,\n", - " 3.96000000e-02, 9.24000000e-02, 3.96000000e-01, 4.62000000e-01,\n", - " 5.24040000e+00, 2.53440000e+00, 2.77200000e-01, 7.78800000e-01,\n", - " 5.43840000e+00, 3.16800000e-01, 9.87360000e+00, 4.75200000e-01,\n", - " 7.11480000e+00, 6.46800000e-01, 2.81160000e+00, 5.28000000e-02,\n", - " 1.71600000e-01, 4.48800000e-01, 1.84800000e-01, 2.99640000e+00,\n", - " 1.82160000e+00, 1.43880000e+00, 2.11200000e-01, 5.67600000e-01,\n", - " 3.96000000e-02, 2.42880000e+00, 6.73200000e-01, 7.92000000e-02,\n", - " 1.10880000e+00, 3.86760000e+00, 1.37280000e+00, 1.32000000e-02,\n", - " 5.72880000e+00, 3.96000000e-01, 4.03920000e+00, 6.60000000e-02,\n", - " 3.96000000e-02, 5.14800000e-01, 2.40240000e+00, 3.69600000e-01,\n", - " 1.00320000e+00, 2.33640000e+00, 1.18800000e-01, 1.58400000e-01,\n", - " 8.34240000e+00, 5.28000000e-02, 5.28000000e-02, 4.22400000e-01,\n", - " 4.88400000e-01, 4.22400000e-01, 1.45200000e-01, 7.12800000e-01,\n", - " 6.07200000e-01, 8.44800000e-01, 6.33600000e-01, 1.82160000e+00,\n", - " 3.28680000e+00, 2.50800000e-01, 1.32000000e-01, 3.43200000e-01,\n", - " 5.67600000e-01, 5.80800000e-01, 1.90080000e+00, 2.24400000e-01,\n", - " 1.18800000e-01, 6.46800000e-01, 3.36600000e+00, 1.09560000e+00,\n", - " 6.20400000e-01, 2.33904000e+01, 2.64000000e-02, 2.90400000e-01,\n", - " 2.77200000e-01, 7.92000000e-02, 9.24000000e-02, 1.18800000e-01,\n", - " 1.05600000e-01, 7.65600000e-01, 1.84800000e-01, 2.45520000e+00,\n", - " 1.26984000e+01, 7.26000000e-01, 2.50800000e-01, 8.58000000e-01,\n", - " 4.58040000e+00, 3.56400000e-01, 2.24400000e-01, 9.90000000e-01,\n", - " 1.98000000e-01, 1.14840000e+00, 1.95360000e+00, 1.59720000e+00,\n", - " 1.45200000e-01, 7.39200000e-01, 5.14800000e-01, 3.82800000e-01,\n", - " 6.20400000e-01, 3.45840000e+00, 7.39200000e-01, 1.20120000e+00,\n", - " 1.95360000e+00, 2.37600000e+00, 1.84800000e-01, 5.28000000e-01,\n", - " 2.19120000e+00, 2.00640000e+00, 7.15440000e+00, 1.71600000e-01,\n", - " 2.62680000e+00, 3.16800000e-01, 7.78800000e-01, 1.09560000e+00,\n", - " 2.64000000e-01, 1.09560000e+00, 3.96000000e-01, 3.30000000e-01,\n", - " 9.24000000e-01, 1.04280000e+00, 2.37600000e-01, 1.05600000e-01,\n", - " 8.44800000e-01, 1.49160000e+00, 9.37200000e-01, 6.20400000e-01,\n", - " 3.56400000e-01, 3.96000000e-02, 1.50480000e+00, 4.23720000e+00,\n", - " 5.67600000e-01, 2.90400000e-01, 1.32000000e-02, 8.71200000e-01,\n", - " 6.20400000e-01, 1.98000000e-01, 2.37600000e-01, 1.04280000e+00,\n", - " 3.16800000e-01, 6.75840000e+00, 6.20400000e-01, 2.37600000e-01,\n", - " 0.00000000e+00, 1.34640000e+00, 3.16800000e-01, 4.22400000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.58007450e+03, -2.52731782e+03, -9.73240255e+01, -6.09566134e+01,\n", - " 0.00000000e+00, -1.05283453e+02, -3.14997218e+01, 0.00000000e+00,\n", - " 0.00000000e+00, 7.06997016e+00, -2.29122893e+02, -2.05298560e+02,\n", - " 0.00000000e+00, -7.82035183e+02, 4.69872502e+02]), array([ 8.50230000e-01, 3.97197000e+00, 7.75359000e+00, 5.49477000e+00,\n", - " 2.91870000e-01, 5.32980000e-01, 3.55320000e-01, 7.48710000e-01,\n", - " 1.23093000e+00, 1.90350000e-01, 7.48710000e-01, 5.96430000e-01,\n", - " 1.33498800e+01, 5.07600000e-02, 1.77660000e-01, 1.14210000e-01,\n", - " 6.66225000e+00, 4.79682000e+00, 7.23330000e-01, 1.12941000e+00,\n", - " 2.66490000e-01, 1.39590000e-01, 7.61400000e-02, 0.00000000e+00,\n", - " 2.53800000e-01, 8.37540000e-01, 6.34500000e-02, 4.88565000e+00,\n", - " 9.51750000e-01, 3.92121000e+00, 2.08116000e+00, 1.58625000e+00,\n", - " 1.75122000e+00, 7.61400000e-02, 0.00000000e+00, 8.88300000e-02,\n", - " 9.89820000e-01, 4.56840000e-01, 2.28420000e-01, 1.64970000e-01,\n", - " 5.71050000e-01, 5.32980000e-01, 1.43397000e+00, 3.02022000e+00,\n", - " 4.82220000e-01, 5.01255000e+00, 1.58625000e+00, 6.38307000e+00,\n", - " 7.99470000e-01, 2.23090200e+01, 1.39590000e-01, 1.77660000e-01,\n", - " 5.83740000e-01, 4.18770000e-01, 9.39060000e-01, 2.28420000e-01,\n", - " 8.37540000e-01, 6.67494000e+00, 1.15859700e+01, 3.10905000e+00,\n", - " 2.16999000e+00, 1.90350000e+00, 7.61400000e-01, 3.24864000e+00,\n", - " 3.93390000e-01, 3.17250000e-01, 3.09636000e+00, 2.63952000e+00,\n", - " 1.26900000e-01, 0.00000000e+00, 5.83740000e-01, 5.96430000e-01,\n", - " 5.07600000e-02, 1.39590000e-01, 1.06596000e+00, 2.18268000e+00,\n", - " 1.29438000e+00, 4.18770000e-01, 4.31460000e-01, 3.19788000e+00,\n", - " 7.43634000e+00, 6.61149000e+00, 1.44666000e+00, 2.33496000e+00,\n", - " 2.72835000e+00, 3.04560000e+00, 3.42630000e-01, 7.10640000e-01,\n", - " 1.26900000e-01, 1.52280000e-01, 2.28420000e-01, 0.00000000e+00,\n", - " 6.34500000e-02, 1.77660000e-01, 2.57607000e+00, 6.72570000e-01,\n", - " 7.61400000e-02, 0.00000000e+00, 1.90350000e-01, 2.06847000e+00,\n", - " 1.64970000e+00, 5.88816000e+00, 7.71552000e+00, 1.43397000e+00,\n", - " 2.28420000e-01, 1.14210000e-01, 5.96430000e-01, 1.14210000e-01,\n", - " 3.41361000e+00, 2.65221000e+00, 8.12160000e-01, 6.59880000e-01,\n", - " 6.91605000e+00, 1.39590000e+00, 0.00000000e+00, 3.33747000e+00,\n", - " 2.19537000e+00, 1.08372600e+01, 1.75122000e+00, 5.19021000e+00,\n", - " 1.07865000e+00, 1.47204000e+00, 4.02273000e+00, 6.75108000e+00,\n", - " 6.04044000e+00, 1.20935700e+01, 1.80198000e+00, 7.74090000e-01,\n", - " 5.13945000e+00, 6.37038000e+00, 2.16999000e+00, 1.19286000e+00,\n", - " 2.53800000e-01, 1.01520000e+00, 1.89081000e+00, 1.31976000e+00,\n", - " 1.11672000e+00, 3.29940000e+00, 9.39060000e-01, 3.17250000e-01,\n", - " 6.30693000e+00, 5.36787000e+00, 4.70799000e+00, 4.92372000e+00,\n", - " 7.48710000e-01, 8.50230000e-01, 1.64970000e-01, 4.44150000e-01,\n", - " 9.13680000e-01, 1.75122000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.26011700e+01, 1.83243600e+01, 3.97831500e+01, 1.04058000e+00,\n", - " 1.14210000e+00, 6.21810000e-01, 1.39590000e-01, 1.52280000e-01,\n", - " 3.80700000e-01, 3.29940000e-01, 2.04309000e+00, 1.86543000e+00,\n", - " 1.75122000e+00, 5.07600000e-01, 1.31468400e+01, 2.40729300e+01,\n", - " 3.68010000e-01, 3.17250000e-01, 8.50230000e-01, 3.42630000e-01,\n", - " 3.80700000e-01, 9.00990000e-01, 1.70046000e+00, 6.09120000e-01,\n", - " 8.62920000e-01, 8.88300000e-01, 1.14210000e-01, 2.16999000e+00,\n", - " 2.79180000e-01, 6.72570000e-01, 7.99470000e-01, 2.06847000e+00,\n", - " 1.61163000e+00, 1.39590000e-01, 2.39841000e+00, 7.23330000e-01,\n", - " 5.20290000e-01, 5.71050000e-01, 1.34514000e+00, 6.85260000e-01,\n", - " 1.48473000e+00, 7.61400000e-02, 6.97950000e-01, 4.31460000e-01,\n", - " 6.09120000e-01, 2.15730000e-01, 2.48597100e+01, 6.34500000e-01,\n", - " 5.58360000e-01, 2.53800000e+01, 9.13680000e-01, 1.64970000e-01,\n", - " 0.00000000e+00, 1.64970000e-01, 7.61400000e-02, 6.34500000e-01,\n", - " 8.75610000e-01, 1.77660000e-01, 6.72570000e-01, 8.37540000e+00,\n", - " 5.34249000e+00, 6.45921000e+00, 2.25374400e+01, 1.95679800e+01,\n", - " 5.32980000e-01, 3.04560000e-01, 5.12676000e+00, 3.29940000e+00,\n", - " 1.11545100e+01, 7.91856000e+00, 1.14210000e-01, 2.79180000e+00,\n", - " 7.99470000e-01, 1.13321700e+01, 6.34500000e-02, 8.88300000e-02,\n", - " 1.39590000e-01, 6.34500000e-02, 3.99735000e+00, 3.15981000e+00,\n", - " 3.17250000e+00, 9.96165000e+00, 5.20290000e-01, 1.26900000e-01,\n", - " 4.96179000e+00, 1.64970000e-01, 5.20290000e-01, 8.00739000e+00,\n", - " 5.45670000e-01, 5.07600000e-01, 4.82220000e-01, 5.58360000e-01,\n", - " 2.91870000e-01, 6.48459000e+00, 3.68010000e+00, 1.14210000e+00,\n", - " 1.73853000e+00, 6.09120000e-01, 1.14210000e-01, 3.24864000e+00,\n", - " 2.03040000e+00, 4.63185000e+00, 4.56840000e-01, 8.12160000e-01,\n", - " 2.91870000e-01, 4.69530000e-01, 9.51750000e-01, 3.64203000e+00,\n", - " 1.02789000e+00, 3.74355000e+00, 1.43397000e+00, 5.32980000e-01,\n", - " 1.11672000e+00, 1.91619000e+00, 3.19788000e+00, 8.73072000e+00,\n", - " 9.77130000e-01, 4.63185000e+00, 4.31460000e-01, 4.18770000e-01,\n", - " 1.14210000e+00, 2.32227000e+00, 8.88300000e-01, 2.63952000e+00,\n", - " 1.77660000e-01, 5.96430000e-01, 3.29940000e+00, 1.72584000e+00,\n", - " 2.15730000e-01, 3.93390000e-01, 1.38321000e+00, 7.99470000e-01,\n", - " 1.51011000e+00, 1.01520000e+00, 1.39590000e-01, 4.44150000e-01,\n", - " 1.01520000e-01, 1.26900000e-02, 5.15214000e+00, 6.89067000e+00,\n", - " 3.29940000e-01, 2.41110000e-01, 1.52406900e+01, 6.87798000e+00,\n", - " 1.30707000e+00, 5.15214000e+00, 7.99470000e-01, 2.69028000e+00,\n", - " 3.55320000e-01, 3.17250000e-01, 3.59127000e+00, 4.31460000e-01,\n", - " 1.64970000e-01, 2.49993000e+00, 1.40859000e+00, 6.59880000e-01,\n", - " 5.81202000e+00, 2.03040000e-01, 4.69530000e-01, 2.41110000e-01,\n", - " 3.42630000e-01, 1.26900000e-01, 7.93125000e+00, 4.13694000e+00,\n", - " 4.69530000e-01, 2.15730000e-01, 3.37554000e+00, 3.55320000e-01,\n", - " 1.68777000e+00, 1.26900000e-02, 1.56087000e+00, 2.00502000e+00,\n", - " 5.71050000e-01, 1.89081000e+00, 3.17250000e-01, 1.00885500e+01,\n", - " 4.31460000e-01, 4.18770000e-01, 3.93390000e-01, 1.45173600e+01,\n", - " 4.44150000e-01, 1.05327000e+00, 1.14210000e-01, 6.34500000e-02,\n", - " 3.51513000e+00, 1.25631000e+00, 1.01520000e-01, 0.00000000e+00,\n", - " 4.46688000e+00, 2.30958000e+00, 6.64956000e+00, 2.89332000e+00,\n", - " 7.61400000e-02, 5.07600000e-02, 3.80700000e-01, 1.72584000e+00,\n", - " 2.04309000e+00, 3.17250000e-01, 0.00000000e+00, 1.14210000e-01,\n", - " 1.19286000e+00, 2.28420000e-01, 4.06080000e-01, 6.72570000e-01,\n", - " 4.45419000e+00, 2.91870000e+00, 8.88300000e-02, 3.04560000e-01,\n", - " 1.64970000e-01, 1.26900000e-01, 1.26900000e-01, 3.80700000e-01,\n", - " 3.80700000e-01, 4.88565000e+00, 4.65723000e+00, 3.55320000e-01,\n", - " 4.94910000e-01, 1.90350000e-01, 1.39590000e-01, 4.18770000e-01,\n", - " 1.26900000e-01, 1.26900000e-01, 8.62920000e-01, 6.59880000e-01,\n", - " 9.00990000e-01, 1.12941000e+00, 9.63171000e+00, 1.97964000e+00,\n", - " 1.75122000e+00, 1.82736000e+00, 3.41361000e+00, 2.53800000e-01,\n", - " 1.64970000e+00, 4.70799000e+00, 3.29940000e-01, 1.34006400e+01,\n", - " 1.00377900e+01, 6.15465000e+00, 6.85260000e-01, 1.90350000e-01,\n", - " 1.12306500e+01, 2.84256000e+00, 4.73337000e+00, 1.04058000e+00,\n", - " 2.41110000e-01, 3.88314000e+00, 3.12174000e+00, 1.26900000e-01,\n", - " 5.07600000e-02, 3.80700000e-02, 1.14210000e+00, 5.07600000e-02,\n", - " 5.29173000e+00, 1.13448600e+01, 5.07600000e-01, 1.04058000e+00,\n", - " 2.33496000e+00, 6.34500000e-02, 2.91870000e-01, 3.42630000e+00,\n", - " 3.68010000e-01, 6.09120000e-01, 1.30707000e+00, 7.11909000e+00,\n", - " 3.92121000e+00, 8.12160000e-01, 1.28169000e+00, 1.70046000e+00,\n", - " 1.90350000e-01, 8.62920000e-01, 1.09134000e+00, 4.56840000e-01,\n", - " 6.34500000e-02, 6.85260000e-01, 3.29940000e-01, 3.17250000e-01,\n", - " 7.23330000e-01, 9.00990000e-01, 1.33245000e+00, 3.55320000e-01,\n", - " 3.80700000e-02, 4.82220000e-01, 6.12927000e+00, 3.42630000e-01,\n", - " 2.99484000e+00, 3.04560000e-01, 1.09134000e+00, 6.21810000e+00,\n", - " 9.75861000e+00, 2.18268000e+00, 4.16232000e+00, 4.82220000e-01,\n", - " 4.44150000e-01, 3.17250000e-01, 2.32227000e+00, 3.80700000e-01,\n", - " 4.06080000e-01, 2.28420000e-01, 6.34500000e-01, 6.09120000e-01,\n", - " 6.47190000e+00, 1.86543000e+00, 7.36020000e-01, 1.26900000e-02,\n", - " 6.21810000e-01, 2.34765000e+00, 2.70297000e+00, 2.53800000e+00,\n", - " 2.41110000e-01, 9.39060000e-01, 1.77660000e+00, 3.17250000e-01,\n", - " 7.99470000e-01, 4.82220000e-01, 2.15730000e-01, 3.55320000e-01,\n", - " 7.74090000e-01, 5.96430000e-01, 5.20290000e-01, 1.01520000e-01,\n", - " 3.81969000e+00, 4.86027000e+00, 1.90350000e-01, 2.03040000e-01,\n", - " 4.44150000e-01, 1.41874200e+01, 7.67745000e+00, 1.64970000e-01,\n", - " 5.41863000e+00, 2.81718000e+00, 1.26900000e-02, 5.45670000e-01,\n", - " 3.04560000e-01, 2.58876000e+00, 3.80700000e+00, 5.22828000e+00,\n", - " 3.55320000e-01, 1.01646900e+01, 1.73853000e+00, 7.36020000e+00,\n", - " 9.51750000e-01, 1.33245000e+00, 5.67243000e+00, 4.28922000e+00,\n", - " 1.76391000e+00, 2.01771000e+00, 0.00000000e+00, 1.26900000e+00,\n", - " 1.12941000e+00, 1.52280000e-01, 7.61400000e-02, 1.39590000e-01,\n", - " 2.15730000e-01, 4.06080000e-01, 8.37540000e-01, 5.71050000e-01,\n", - " 4.82220000e-01, 2.27151000e+00, 2.47455000e+00, 5.07600000e-02,\n", - " 4.94910000e-01, 6.85260000e-01, 3.04560000e-01, 4.69530000e-01,\n", - " 2.53800000e-01, 8.24850000e-01, 2.11923000e+00, 3.04560000e-01,\n", - " 2.41110000e-01, 1.39082400e+01, 5.45670000e-01, 4.69530000e-01,\n", - " 4.06080000e-01, 2.60145000e+00, 5.96430000e-01, 2.15730000e-01,\n", - " 1.82736000e+00, 4.82220000e-01, 3.36285000e+00, 8.88300000e-01,\n", - " 7.60131000e+00, 5.49477000e+00, 5.20290000e+00, 4.69530000e-01,\n", - " 5.07600000e-02, 5.96430000e-01, 1.39590000e-01, 3.42630000e-01,\n", - " 7.05564000e+00, 3.68010000e-01, 3.80700000e-02, 2.03040000e-01,\n", - " 4.72068000e+00, 1.19286000e+00, 2.79180000e-01, 9.64440000e-01,\n", - " 4.66992000e+00, 8.47692000e+00, 1.55325600e+01, 1.80198000e+00,\n", - " 8.17236000e+00, 1.09768500e+01, 9.51750000e-01, 4.94910000e-01,\n", - " 1.33245000e+00, 1.86289200e+01, 9.94896000e+00, 5.07600000e-02,\n", - " 5.71050000e-01, 8.37540000e-01, 3.55320000e-01, 1.62432000e+00,\n", - " 7.36020000e-01, 1.26900000e+00, 1.40859000e+00, 7.49979000e+00,\n", - " 1.76391000e+00, 1.01520000e-01, 2.13192000e+00, 3.36285000e+00,\n", - " 2.01771000e+00, 1.76391000e+00, 1.14210000e-01, 9.77130000e-01,\n", - " 5.96430000e-01, 2.15730000e-01, 1.14210000e-01, 9.37791000e+00,\n", - " 6.85260000e-01, 2.66490000e-01, 8.88300000e-01, 1.70046000e+00,\n", - " 1.00377900e+01, 5.60898000e+00, 8.75610000e-01, 1.21824000e+00,\n", - " 4.92372000e+00, 6.97950000e-01, 1.19286000e+00, 3.80700000e+00,\n", - " 3.22326000e+00, 4.69530000e-01, 5.85009000e+00, 5.32980000e-01,\n", - " 1.16494200e+01, 6.21810000e-01, 1.86543000e+00, 8.88300000e-02,\n", - " 6.34500000e-02, 1.64970000e-01, 9.64440000e-01, 6.47190000e-01,\n", - " 1.04058000e+00, 5.71050000e-01, 4.44150000e-01, 5.45670000e-01,\n", - " 1.91619000e+00, 6.59880000e-01, 2.66490000e-01, 2.53800000e+00,\n", - " 2.15730000e-01, 8.14698000e+00, 1.96695000e+00, 2.00502000e+00,\n", - " 4.69530000e-01, 7.36020000e-01, 2.79180000e-01, 9.06066000e+00,\n", - " 3.55320000e-01, 1.64970000e-01, 1.89081000e+00, 1.68015600e+01,\n", - " 2.53800000e-01, 4.06080000e-01, 5.07600000e-02, 7.76628000e+00,\n", - " 1.26900000e-01, 1.75122000e+00, 2.53800000e-01, 6.99219000e+00,\n", - " 2.84256000e+00, 1.14210000e-01, 2.53800000e-02, 4.69530000e+00,\n", - " 8.88300000e-02, 7.74090000e-01, 2.58876000e+00, 6.85260000e-01,\n", - " 3.13443000e+00, 1.05327000e+00, 2.23344000e+00, 3.55320000e-01,\n", - " 6.59880000e-01, 1.14210000e-01, 9.65709000e+00, 9.89820000e+00,\n", - " 2.14461000e+00, 5.26635000e+00, 1.08118800e+01, 4.18770000e-01,\n", - " 6.34500000e-02, 2.15730000e-01, 4.44150000e-01, 5.71050000e-01,\n", - " 1.90350000e-01, 7.61400000e-02, 4.18770000e-01, 1.01520000e+00,\n", - " 1.40859000e+00, 4.18770000e-01, 2.28420000e-01, 2.15730000e-01,\n", - " 2.91870000e-01, 3.80700000e-02, 9.39060000e-01, 4.82220000e-01,\n", - " 2.28420000e-01, 1.18017000e+00, 1.01520000e-01, 1.81467000e+00,\n", - " 3.09636000e+00, 1.12941000e+00, 2.94408000e+00, 5.34249000e+00,\n", - " 1.68777000e+00, 8.12160000e+00, 8.88300000e-01, 1.56087000e+00,\n", - " 3.04560000e+00, 1.23093000e+00, 5.83740000e-01, 7.36020000e-01,\n", - " 3.29940000e-01, 4.18770000e-01, 1.26900000e-02, 4.69530000e-01,\n", - " 2.15730000e-01, 1.14210000e-01, 5.20290000e-01, 2.37303000e+00,\n", - " 5.58360000e-01, 4.56840000e-01, 1.90350000e-01, 8.24850000e-01,\n", - " 5.43132000e+00, 2.29689000e+00, 6.21810000e-01, 1.51011000e+00,\n", - " 4.44150000e-01, 1.11672000e+01, 7.86780000e-01, 3.79431000e+00,\n", - " 7.61400000e-01, 9.64440000e-01, 3.93390000e-01, 1.11672000e+00,\n", - " 5.83740000e-01, 4.18770000e-01, 1.42128000e+00, 7.61400000e-02,\n", - " 2.28420000e-01, 5.96430000e-01, 4.44150000e-01, 5.83740000e-01,\n", - " 1.64970000e-01, 8.50230000e-01, 5.07600000e+00, 1.45935000e+00,\n", - " 2.29689000e+00, 1.38321000e+00, 7.99470000e-01, 1.75122000e+00,\n", - " 5.85009000e+00, 4.45419000e+00, 3.29940000e-01, 1.31976000e+00,\n", - " 6.72570000e-01, 8.75610000e-01, 1.97964000e+00, 3.76893000e+00,\n", - " 3.80700000e-02, 6.34500000e-02, 4.47957000e+00, 4.61916000e+00,\n", - " 7.10640000e-01, 8.88300000e-02, 4.94910000e-01, 3.29940000e-01,\n", - " 3.80700000e-02, 8.88300000e-02, 3.80700000e-01, 4.44150000e-01,\n", - " 5.03793000e+00, 2.43648000e+00, 2.66490000e-01, 7.48710000e-01,\n", - " 5.22828000e+00, 3.04560000e-01, 9.49212000e+00, 4.56840000e-01,\n", - " 6.83991000e+00, 6.21810000e-01, 2.70297000e+00, 5.07600000e-02,\n", - " 1.64970000e-01, 4.31460000e-01, 1.77660000e-01, 2.88063000e+00,\n", - " 1.75122000e+00, 1.38321000e+00, 2.03040000e-01, 5.45670000e-01,\n", - " 3.80700000e-02, 2.33496000e+00, 6.47190000e-01, 7.61400000e-02,\n", - " 1.06596000e+00, 3.71817000e+00, 1.31976000e+00, 1.26900000e-02,\n", - " 5.50746000e+00, 3.80700000e-01, 3.88314000e+00, 6.34500000e-02,\n", - " 3.80700000e-02, 4.94910000e-01, 2.30958000e+00, 3.55320000e-01,\n", - " 9.64440000e-01, 2.24613000e+00, 1.14210000e-01, 1.52280000e-01,\n", - " 8.02008000e+00, 5.07600000e-02, 5.07600000e-02, 4.06080000e-01,\n", - " 4.69530000e-01, 4.06080000e-01, 1.39590000e-01, 6.85260000e-01,\n", - " 5.83740000e-01, 8.12160000e-01, 6.09120000e-01, 1.75122000e+00,\n", - " 3.15981000e+00, 2.41110000e-01, 1.26900000e-01, 3.29940000e-01,\n", - " 5.45670000e-01, 5.58360000e-01, 1.82736000e+00, 2.15730000e-01,\n", - " 1.14210000e-01, 6.21810000e-01, 3.23595000e+00, 1.05327000e+00,\n", - " 5.96430000e-01, 2.24866800e+01, 2.53800000e-02, 2.79180000e-01,\n", - " 2.66490000e-01, 7.61400000e-02, 8.88300000e-02, 1.14210000e-01,\n", - " 1.01520000e-01, 7.36020000e-01, 1.77660000e-01, 2.36034000e+00,\n", - " 1.22077800e+01, 6.97950000e-01, 2.41110000e-01, 8.24850000e-01,\n", - " 4.40343000e+00, 3.42630000e-01, 2.15730000e-01, 9.51750000e-01,\n", - " 1.90350000e-01, 1.10403000e+00, 1.87812000e+00, 1.53549000e+00,\n", - " 1.39590000e-01, 7.10640000e-01, 4.94910000e-01, 3.68010000e-01,\n", - " 5.96430000e-01, 3.32478000e+00, 7.10640000e-01, 1.15479000e+00,\n", - " 1.87812000e+00, 2.28420000e+00, 1.77660000e-01, 5.07600000e-01,\n", - " 2.10654000e+00, 1.92888000e+00, 6.87798000e+00, 1.64970000e-01,\n", - " 2.52531000e+00, 3.04560000e-01, 7.48710000e-01, 1.05327000e+00,\n", - " 2.53800000e-01, 1.05327000e+00, 3.80700000e-01, 3.17250000e-01,\n", - " 8.88300000e-01, 1.00251000e+00, 2.28420000e-01, 1.01520000e-01,\n", - " 8.12160000e-01, 1.43397000e+00, 9.00990000e-01, 5.96430000e-01,\n", - " 3.42630000e-01, 3.80700000e-02, 1.44666000e+00, 4.07349000e+00,\n", - " 5.45670000e-01, 2.79180000e-01, 1.26900000e-02, 8.37540000e-01,\n", - " 5.96430000e-01, 1.90350000e-01, 2.28420000e-01, 1.00251000e+00,\n", - " 3.04560000e-01, 6.49728000e+00, 5.96430000e-01, 2.28420000e-01,\n", - " 0.00000000e+00, 1.29438000e+00, 3.04560000e-01, 4.06080000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.57855048e+03, -2.52731782e+03, -9.35637899e+01, -5.50103575e+01,\n", - " 0.00000000e+00, -9.81453477e+01, -2.07326925e+01, 0.00000000e+00,\n", - " 0.00000000e+00, 1.39828366e+01, -2.18598886e+02, -1.54878422e+02,\n", - " 0.00000000e+00, 1.96603290e+03, -2.29556995e+03]), array([ 8.50230000e-01, 3.97197000e+00, 7.75359000e+00, 5.49477000e+00,\n", - " 2.91870000e-01, 5.32980000e-01, 3.55320000e-01, 7.48710000e-01,\n", - " 1.23093000e+00, 1.90350000e-01, 7.48710000e-01, 5.96430000e-01,\n", - " 1.33498800e+01, 5.07600000e-02, 1.77660000e-01, 1.14210000e-01,\n", - " 6.66225000e+00, 4.79682000e+00, 7.23330000e-01, 1.12941000e+00,\n", - " 2.66490000e-01, 1.39590000e-01, 7.61400000e-02, 0.00000000e+00,\n", - " 2.53800000e-01, 8.37540000e-01, 6.34500000e-02, 4.88565000e+00,\n", - " 9.51750000e-01, 3.92121000e+00, 2.08116000e+00, 1.58625000e+00,\n", - " 1.75122000e+00, 7.61400000e-02, 0.00000000e+00, 8.88300000e-02,\n", - " 9.89820000e-01, 4.56840000e-01, 2.28420000e-01, 1.64970000e-01,\n", - " 5.71050000e-01, 5.32980000e-01, 1.43397000e+00, 3.02022000e+00,\n", - " 4.82220000e-01, 5.01255000e+00, 1.58625000e+00, 6.38307000e+00,\n", - " 7.99470000e-01, 2.23090200e+01, 1.39590000e-01, 1.77660000e-01,\n", - " 5.83740000e-01, 4.18770000e-01, 9.39060000e-01, 2.28420000e-01,\n", - " 8.37540000e-01, 6.67494000e+00, 1.15859700e+01, 3.10905000e+00,\n", - " 2.16999000e+00, 1.90350000e+00, 7.61400000e-01, 3.24864000e+00,\n", - " 3.93390000e-01, 3.17250000e-01, 3.09636000e+00, 2.63952000e+00,\n", - " 1.26900000e-01, 0.00000000e+00, 5.83740000e-01, 5.96430000e-01,\n", - " 5.07600000e-02, 1.39590000e-01, 1.06596000e+00, 2.18268000e+00,\n", - " 1.29438000e+00, 4.18770000e-01, 4.31460000e-01, 3.19788000e+00,\n", - " 7.43634000e+00, 6.61149000e+00, 1.44666000e+00, 2.33496000e+00,\n", - " 2.72835000e+00, 3.04560000e+00, 3.42630000e-01, 7.10640000e-01,\n", - " 1.26900000e-01, 1.52280000e-01, 2.28420000e-01, 0.00000000e+00,\n", - " 6.34500000e-02, 1.77660000e-01, 2.57607000e+00, 6.72570000e-01,\n", - " 7.61400000e-02, 0.00000000e+00, 1.90350000e-01, 2.06847000e+00,\n", - " 1.64970000e+00, 5.88816000e+00, 7.71552000e+00, 1.43397000e+00,\n", - " 2.28420000e-01, 1.14210000e-01, 5.96430000e-01, 1.14210000e-01,\n", - " 3.41361000e+00, 2.65221000e+00, 8.12160000e-01, 6.59880000e-01,\n", - " 6.91605000e+00, 1.39590000e+00, 0.00000000e+00, 3.33747000e+00,\n", - " 2.19537000e+00, 1.08372600e+01, 1.75122000e+00, 5.19021000e+00,\n", - " 1.07865000e+00, 1.47204000e+00, 4.02273000e+00, 6.75108000e+00,\n", - " 6.04044000e+00, 1.20935700e+01, 1.80198000e+00, 7.74090000e-01,\n", - " 5.13945000e+00, 6.37038000e+00, 2.16999000e+00, 1.19286000e+00,\n", - " 2.53800000e-01, 1.01520000e+00, 1.89081000e+00, 1.31976000e+00,\n", - " 1.11672000e+00, 3.29940000e+00, 9.39060000e-01, 3.17250000e-01,\n", - " 6.30693000e+00, 5.36787000e+00, 4.70799000e+00, 4.92372000e+00,\n", - " 7.48710000e-01, 8.50230000e-01, 1.64970000e-01, 4.44150000e-01,\n", - " 9.13680000e-01, 1.75122000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.26011700e+01, 1.83243600e+01, 3.97831500e+01, 1.04058000e+00,\n", - " 1.14210000e+00, 6.21810000e-01, 1.39590000e-01, 1.52280000e-01,\n", - " 3.80700000e-01, 3.29940000e-01, 2.04309000e+00, 1.86543000e+00,\n", - " 1.75122000e+00, 5.07600000e-01, 1.31468400e+01, 2.40729300e+01,\n", - " 3.68010000e-01, 3.17250000e-01, 8.50230000e-01, 3.42630000e-01,\n", - " 3.80700000e-01, 9.00990000e-01, 1.70046000e+00, 6.09120000e-01,\n", - " 8.62920000e-01, 8.88300000e-01, 1.14210000e-01, 2.16999000e+00,\n", - " 2.79180000e-01, 6.72570000e-01, 7.99470000e-01, 2.06847000e+00,\n", - " 1.61163000e+00, 1.39590000e-01, 2.39841000e+00, 7.23330000e-01,\n", - " 5.20290000e-01, 5.71050000e-01, 1.34514000e+00, 6.85260000e-01,\n", - " 1.48473000e+00, 7.61400000e-02, 6.97950000e-01, 4.31460000e-01,\n", - " 6.09120000e-01, 2.15730000e-01, 2.48597100e+01, 6.34500000e-01,\n", - " 5.58360000e-01, 2.53800000e+01, 9.13680000e-01, 1.64970000e-01,\n", - " 0.00000000e+00, 1.64970000e-01, 7.61400000e-02, 6.34500000e-01,\n", - " 8.75610000e-01, 1.77660000e-01, 6.72570000e-01, 8.37540000e+00,\n", - " 5.34249000e+00, 6.45921000e+00, 2.25374400e+01, 1.95679800e+01,\n", - " 5.32980000e-01, 3.04560000e-01, 5.12676000e+00, 3.29940000e+00,\n", - " 1.11545100e+01, 7.91856000e+00, 1.14210000e-01, 2.79180000e+00,\n", - " 7.99470000e-01, 1.13321700e+01, 6.34500000e-02, 8.88300000e-02,\n", - " 1.39590000e-01, 6.34500000e-02, 3.99735000e+00, 3.15981000e+00,\n", - " 3.17250000e+00, 9.96165000e+00, 5.20290000e-01, 1.26900000e-01,\n", - " 4.96179000e+00, 1.64970000e-01, 5.20290000e-01, 8.00739000e+00,\n", - " 5.45670000e-01, 5.07600000e-01, 4.82220000e-01, 5.58360000e-01,\n", - " 2.91870000e-01, 6.48459000e+00, 3.68010000e+00, 1.14210000e+00,\n", - " 1.73853000e+00, 6.09120000e-01, 1.14210000e-01, 3.24864000e+00,\n", - " 2.03040000e+00, 4.63185000e+00, 4.56840000e-01, 8.12160000e-01,\n", - " 2.91870000e-01, 4.69530000e-01, 9.51750000e-01, 3.64203000e+00,\n", - " 1.02789000e+00, 3.74355000e+00, 1.43397000e+00, 5.32980000e-01,\n", - " 1.11672000e+00, 1.91619000e+00, 3.19788000e+00, 8.73072000e+00,\n", - " 9.77130000e-01, 4.63185000e+00, 4.31460000e-01, 4.18770000e-01,\n", - " 1.14210000e+00, 2.32227000e+00, 8.88300000e-01, 2.63952000e+00,\n", - " 1.77660000e-01, 5.96430000e-01, 3.29940000e+00, 1.72584000e+00,\n", - " 2.15730000e-01, 3.93390000e-01, 1.38321000e+00, 7.99470000e-01,\n", - " 1.51011000e+00, 1.01520000e+00, 1.39590000e-01, 4.44150000e-01,\n", - " 1.01520000e-01, 1.26900000e-02, 5.15214000e+00, 6.89067000e+00,\n", - " 3.29940000e-01, 2.41110000e-01, 1.52406900e+01, 6.87798000e+00,\n", - " 1.30707000e+00, 5.15214000e+00, 7.99470000e-01, 2.69028000e+00,\n", - " 3.55320000e-01, 3.17250000e-01, 3.59127000e+00, 4.31460000e-01,\n", - " 1.64970000e-01, 2.49993000e+00, 1.40859000e+00, 6.59880000e-01,\n", - " 5.81202000e+00, 2.03040000e-01, 4.69530000e-01, 2.41110000e-01,\n", - " 3.42630000e-01, 1.26900000e-01, 7.93125000e+00, 4.13694000e+00,\n", - " 4.69530000e-01, 2.15730000e-01, 3.37554000e+00, 3.55320000e-01,\n", - " 1.68777000e+00, 1.26900000e-02, 1.56087000e+00, 2.00502000e+00,\n", - " 5.71050000e-01, 1.89081000e+00, 3.17250000e-01, 1.00885500e+01,\n", - " 4.31460000e-01, 4.18770000e-01, 3.93390000e-01, 1.45173600e+01,\n", - " 4.44150000e-01, 1.05327000e+00, 1.14210000e-01, 6.34500000e-02,\n", - " 3.51513000e+00, 1.25631000e+00, 1.01520000e-01, 0.00000000e+00,\n", - " 4.46688000e+00, 2.30958000e+00, 6.64956000e+00, 2.89332000e+00,\n", - " 7.61400000e-02, 5.07600000e-02, 3.80700000e-01, 1.72584000e+00,\n", - " 2.04309000e+00, 3.17250000e-01, 0.00000000e+00, 1.14210000e-01,\n", - " 1.19286000e+00, 2.28420000e-01, 4.06080000e-01, 6.72570000e-01,\n", - " 4.45419000e+00, 2.91870000e+00, 8.88300000e-02, 3.04560000e-01,\n", - " 1.64970000e-01, 1.26900000e-01, 1.26900000e-01, 3.80700000e-01,\n", - " 3.80700000e-01, 4.88565000e+00, 4.65723000e+00, 3.55320000e-01,\n", - " 4.94910000e-01, 1.90350000e-01, 1.39590000e-01, 4.18770000e-01,\n", - " 1.26900000e-01, 1.26900000e-01, 8.62920000e-01, 6.59880000e-01,\n", - " 9.00990000e-01, 1.12941000e+00, 9.63171000e+00, 1.97964000e+00,\n", - " 1.75122000e+00, 1.82736000e+00, 3.41361000e+00, 2.53800000e-01,\n", - " 1.64970000e+00, 4.70799000e+00, 3.29940000e-01, 1.34006400e+01,\n", - " 1.00377900e+01, 6.15465000e+00, 6.85260000e-01, 1.90350000e-01,\n", - " 1.12306500e+01, 2.84256000e+00, 4.73337000e+00, 1.04058000e+00,\n", - " 2.41110000e-01, 3.88314000e+00, 3.12174000e+00, 1.26900000e-01,\n", - " 5.07600000e-02, 3.80700000e-02, 1.14210000e+00, 5.07600000e-02,\n", - " 5.29173000e+00, 1.13448600e+01, 5.07600000e-01, 1.04058000e+00,\n", - " 2.33496000e+00, 6.34500000e-02, 2.91870000e-01, 3.42630000e+00,\n", - " 3.68010000e-01, 6.09120000e-01, 1.30707000e+00, 7.11909000e+00,\n", - " 3.92121000e+00, 8.12160000e-01, 1.28169000e+00, 1.70046000e+00,\n", - " 1.90350000e-01, 8.62920000e-01, 1.09134000e+00, 4.56840000e-01,\n", - " 6.34500000e-02, 6.85260000e-01, 3.29940000e-01, 3.17250000e-01,\n", - " 7.23330000e-01, 9.00990000e-01, 1.33245000e+00, 3.55320000e-01,\n", - " 3.80700000e-02, 4.82220000e-01, 6.12927000e+00, 3.42630000e-01,\n", - " 2.99484000e+00, 3.04560000e-01, 1.09134000e+00, 6.21810000e+00,\n", - " 9.75861000e+00, 2.18268000e+00, 4.16232000e+00, 4.82220000e-01,\n", - " 4.44150000e-01, 3.17250000e-01, 2.32227000e+00, 3.80700000e-01,\n", - " 4.06080000e-01, 2.28420000e-01, 6.34500000e-01, 6.09120000e-01,\n", - " 6.47190000e+00, 1.86543000e+00, 7.36020000e-01, 1.26900000e-02,\n", - " 6.21810000e-01, 2.34765000e+00, 2.70297000e+00, 2.53800000e+00,\n", - " 2.41110000e-01, 9.39060000e-01, 1.77660000e+00, 3.17250000e-01,\n", - " 7.99470000e-01, 4.82220000e-01, 2.15730000e-01, 3.55320000e-01,\n", - " 7.74090000e-01, 5.96430000e-01, 5.20290000e-01, 1.01520000e-01,\n", - " 3.81969000e+00, 4.86027000e+00, 1.90350000e-01, 2.03040000e-01,\n", - " 4.44150000e-01, 1.41874200e+01, 7.67745000e+00, 1.64970000e-01,\n", - " 5.41863000e+00, 2.81718000e+00, 1.26900000e-02, 5.45670000e-01,\n", - " 3.04560000e-01, 2.58876000e+00, 3.80700000e+00, 5.22828000e+00,\n", - " 3.55320000e-01, 1.01646900e+01, 1.73853000e+00, 7.36020000e+00,\n", - " 9.51750000e-01, 1.33245000e+00, 5.67243000e+00, 4.28922000e+00,\n", - " 1.76391000e+00, 2.01771000e+00, 0.00000000e+00, 1.26900000e+00,\n", - " 1.12941000e+00, 1.52280000e-01, 7.61400000e-02, 1.39590000e-01,\n", - " 2.15730000e-01, 4.06080000e-01, 8.37540000e-01, 5.71050000e-01,\n", - " 4.82220000e-01, 2.27151000e+00, 2.47455000e+00, 5.07600000e-02,\n", - " 4.94910000e-01, 6.85260000e-01, 3.04560000e-01, 4.69530000e-01,\n", - " 2.53800000e-01, 8.24850000e-01, 2.11923000e+00, 3.04560000e-01,\n", - " 2.41110000e-01, 1.39082400e+01, 5.45670000e-01, 4.69530000e-01,\n", - " 4.06080000e-01, 2.60145000e+00, 5.96430000e-01, 2.15730000e-01,\n", - " 1.82736000e+00, 4.82220000e-01, 3.36285000e+00, 8.88300000e-01,\n", - " 7.60131000e+00, 5.49477000e+00, 5.20290000e+00, 4.69530000e-01,\n", - " 5.07600000e-02, 5.96430000e-01, 1.39590000e-01, 3.42630000e-01,\n", - " 7.05564000e+00, 3.68010000e-01, 3.80700000e-02, 2.03040000e-01,\n", - " 4.72068000e+00, 1.19286000e+00, 2.79180000e-01, 9.64440000e-01,\n", - " 4.66992000e+00, 8.47692000e+00, 1.55325600e+01, 1.80198000e+00,\n", - " 8.17236000e+00, 1.09768500e+01, 9.51750000e-01, 4.94910000e-01,\n", - " 1.33245000e+00, 1.86289200e+01, 9.94896000e+00, 5.07600000e-02,\n", - " 5.71050000e-01, 8.37540000e-01, 3.55320000e-01, 1.62432000e+00,\n", - " 7.36020000e-01, 1.26900000e+00, 1.40859000e+00, 7.49979000e+00,\n", - " 1.76391000e+00, 1.01520000e-01, 2.13192000e+00, 3.36285000e+00,\n", - " 2.01771000e+00, 1.76391000e+00, 1.14210000e-01, 9.77130000e-01,\n", - " 5.96430000e-01, 2.15730000e-01, 1.14210000e-01, 9.37791000e+00,\n", - " 6.85260000e-01, 2.66490000e-01, 8.88300000e-01, 1.70046000e+00,\n", - " 1.00377900e+01, 5.60898000e+00, 8.75610000e-01, 1.21824000e+00,\n", - " 4.92372000e+00, 6.97950000e-01, 1.19286000e+00, 3.80700000e+00,\n", - " 3.22326000e+00, 4.69530000e-01, 5.85009000e+00, 5.32980000e-01,\n", - " 1.16494200e+01, 6.21810000e-01, 1.86543000e+00, 8.88300000e-02,\n", - " 6.34500000e-02, 1.64970000e-01, 9.64440000e-01, 6.47190000e-01,\n", - " 1.04058000e+00, 5.71050000e-01, 4.44150000e-01, 5.45670000e-01,\n", - " 1.91619000e+00, 6.59880000e-01, 2.66490000e-01, 2.53800000e+00,\n", - " 2.15730000e-01, 8.14698000e+00, 1.96695000e+00, 2.00502000e+00,\n", - " 4.69530000e-01, 7.36020000e-01, 2.79180000e-01, 9.06066000e+00,\n", - " 3.55320000e-01, 1.64970000e-01, 1.89081000e+00, 1.68015600e+01,\n", - " 2.53800000e-01, 4.06080000e-01, 5.07600000e-02, 7.76628000e+00,\n", - " 1.26900000e-01, 1.75122000e+00, 2.53800000e-01, 6.99219000e+00,\n", - " 2.84256000e+00, 1.14210000e-01, 2.53800000e-02, 4.69530000e+00,\n", - " 8.88300000e-02, 7.74090000e-01, 2.58876000e+00, 6.85260000e-01,\n", - " 3.13443000e+00, 1.05327000e+00, 2.23344000e+00, 3.55320000e-01,\n", - " 6.59880000e-01, 1.14210000e-01, 9.65709000e+00, 9.89820000e+00,\n", - " 2.14461000e+00, 5.26635000e+00, 1.08118800e+01, 4.18770000e-01,\n", - " 6.34500000e-02, 2.15730000e-01, 4.44150000e-01, 5.71050000e-01,\n", - " 1.90350000e-01, 7.61400000e-02, 4.18770000e-01, 1.01520000e+00,\n", - " 1.40859000e+00, 4.18770000e-01, 2.28420000e-01, 2.15730000e-01,\n", - " 2.91870000e-01, 3.80700000e-02, 9.39060000e-01, 4.82220000e-01,\n", - " 2.28420000e-01, 1.18017000e+00, 1.01520000e-01, 1.81467000e+00,\n", - " 3.09636000e+00, 1.12941000e+00, 2.94408000e+00, 5.34249000e+00,\n", - " 1.68777000e+00, 8.12160000e+00, 8.88300000e-01, 1.56087000e+00,\n", - " 3.04560000e+00, 1.23093000e+00, 5.83740000e-01, 7.36020000e-01,\n", - " 3.29940000e-01, 4.18770000e-01, 1.26900000e-02, 4.69530000e-01,\n", - " 2.15730000e-01, 1.14210000e-01, 5.20290000e-01, 2.37303000e+00,\n", - " 5.58360000e-01, 4.56840000e-01, 1.90350000e-01, 8.24850000e-01,\n", - " 5.43132000e+00, 2.29689000e+00, 6.21810000e-01, 1.51011000e+00,\n", - " 4.44150000e-01, 1.11672000e+01, 7.86780000e-01, 3.79431000e+00,\n", - " 7.61400000e-01, 9.64440000e-01, 3.93390000e-01, 1.11672000e+00,\n", - " 5.83740000e-01, 4.18770000e-01, 1.42128000e+00, 7.61400000e-02,\n", - " 2.28420000e-01, 5.96430000e-01, 4.44150000e-01, 5.83740000e-01,\n", - " 1.64970000e-01, 8.50230000e-01, 5.07600000e+00, 1.45935000e+00,\n", - " 2.29689000e+00, 1.38321000e+00, 7.99470000e-01, 1.75122000e+00,\n", - " 5.85009000e+00, 4.45419000e+00, 3.29940000e-01, 1.31976000e+00,\n", - " 6.72570000e-01, 8.75610000e-01, 1.97964000e+00, 3.76893000e+00,\n", - " 3.80700000e-02, 6.34500000e-02, 4.47957000e+00, 4.61916000e+00,\n", - " 7.10640000e-01, 8.88300000e-02, 4.94910000e-01, 3.29940000e-01,\n", - " 3.80700000e-02, 8.88300000e-02, 3.80700000e-01, 4.44150000e-01,\n", - " 5.03793000e+00, 2.43648000e+00, 2.66490000e-01, 7.48710000e-01,\n", - " 5.22828000e+00, 3.04560000e-01, 9.49212000e+00, 4.56840000e-01,\n", - " 6.83991000e+00, 6.21810000e-01, 2.70297000e+00, 5.07600000e-02,\n", - " 1.64970000e-01, 4.31460000e-01, 1.77660000e-01, 2.88063000e+00,\n", - " 1.75122000e+00, 1.38321000e+00, 2.03040000e-01, 5.45670000e-01,\n", - " 3.80700000e-02, 2.33496000e+00, 6.47190000e-01, 7.61400000e-02,\n", - " 1.06596000e+00, 3.71817000e+00, 1.31976000e+00, 1.26900000e-02,\n", - " 5.50746000e+00, 3.80700000e-01, 3.88314000e+00, 6.34500000e-02,\n", - " 3.80700000e-02, 4.94910000e-01, 2.30958000e+00, 3.55320000e-01,\n", - " 9.64440000e-01, 2.24613000e+00, 1.14210000e-01, 1.52280000e-01,\n", - " 8.02008000e+00, 5.07600000e-02, 5.07600000e-02, 4.06080000e-01,\n", - " 4.69530000e-01, 4.06080000e-01, 1.39590000e-01, 6.85260000e-01,\n", - " 5.83740000e-01, 8.12160000e-01, 6.09120000e-01, 1.75122000e+00,\n", - " 3.15981000e+00, 2.41110000e-01, 1.26900000e-01, 3.29940000e-01,\n", - " 5.45670000e-01, 5.58360000e-01, 1.82736000e+00, 2.15730000e-01,\n", - " 1.14210000e-01, 6.21810000e-01, 3.23595000e+00, 1.05327000e+00,\n", - " 5.96430000e-01, 2.24866800e+01, 2.53800000e-02, 2.79180000e-01,\n", - " 2.66490000e-01, 7.61400000e-02, 8.88300000e-02, 1.14210000e-01,\n", - " 1.01520000e-01, 7.36020000e-01, 1.77660000e-01, 2.36034000e+00,\n", - " 1.22077800e+01, 6.97950000e-01, 2.41110000e-01, 8.24850000e-01,\n", - " 4.40343000e+00, 3.42630000e-01, 2.15730000e-01, 9.51750000e-01,\n", - " 1.90350000e-01, 1.10403000e+00, 1.87812000e+00, 1.53549000e+00,\n", - " 1.39590000e-01, 7.10640000e-01, 4.94910000e-01, 3.68010000e-01,\n", - " 5.96430000e-01, 3.32478000e+00, 7.10640000e-01, 1.15479000e+00,\n", - " 1.87812000e+00, 2.28420000e+00, 1.77660000e-01, 5.07600000e-01,\n", - " 2.10654000e+00, 1.92888000e+00, 6.87798000e+00, 1.64970000e-01,\n", - " 2.52531000e+00, 3.04560000e-01, 7.48710000e-01, 1.05327000e+00,\n", - " 2.53800000e-01, 1.05327000e+00, 3.80700000e-01, 3.17250000e-01,\n", - " 8.88300000e-01, 1.00251000e+00, 2.28420000e-01, 1.01520000e-01,\n", - " 8.12160000e-01, 1.43397000e+00, 9.00990000e-01, 5.96430000e-01,\n", - " 3.42630000e-01, 3.80700000e-02, 1.44666000e+00, 4.07349000e+00,\n", - " 5.45670000e-01, 2.79180000e-01, 1.26900000e-02, 8.37540000e-01,\n", - " 5.96430000e-01, 1.90350000e-01, 2.28420000e-01, 1.00251000e+00,\n", - " 3.04560000e-01, 6.49728000e+00, 5.96430000e-01, 2.28420000e-01,\n", - " 0.00000000e+00, 1.29438000e+00, 3.04560000e-01, 4.06080000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.57271477e+03, -2.52731782e+03, -9.35638224e+01, -5.82176896e+01,\n", - " 0.00000000e+00, -1.13823455e+02, -2.27059214e+01, 0.00000000e+00,\n", - " 0.00000000e+00, 1.38466420e+01, -2.38761866e+02, -4.37421916e+02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 8.37500000e-01, 3.91250000e+00, 7.63750000e+00, 5.41250000e+00,\n", - " 2.87500000e-01, 5.25000000e-01, 3.50000000e-01, 7.37500000e-01,\n", - " 1.21250000e+00, 1.87500000e-01, 7.37500000e-01, 5.87500000e-01,\n", - " 1.31500000e+01, 5.00000000e-02, 1.75000000e-01, 1.12500000e-01,\n", - " 6.56250000e+00, 4.72500000e+00, 7.12500000e-01, 1.11250000e+00,\n", - " 2.62500000e-01, 1.37500000e-01, 7.50000000e-02, 0.00000000e+00,\n", - " 2.50000000e-01, 8.25000000e-01, 6.25000000e-02, 4.81250000e+00,\n", - " 9.37500000e-01, 3.86250000e+00, 2.05000000e+00, 1.56250000e+00,\n", - " 1.72500000e+00, 7.50000000e-02, 0.00000000e+00, 8.75000000e-02,\n", - " 9.75000000e-01, 4.50000000e-01, 2.25000000e-01, 1.62500000e-01,\n", - " 5.62500000e-01, 5.25000000e-01, 1.41250000e+00, 2.97500000e+00,\n", - " 4.75000000e-01, 4.93750000e+00, 1.56250000e+00, 6.28750000e+00,\n", - " 7.87500000e-01, 2.19750000e+01, 1.37500000e-01, 1.75000000e-01,\n", - " 5.75000000e-01, 4.12500000e-01, 9.25000000e-01, 2.25000000e-01,\n", - " 8.25000000e-01, 6.57500000e+00, 1.14125000e+01, 3.06250000e+00,\n", - " 2.13750000e+00, 1.87500000e+00, 7.50000000e-01, 3.20000000e+00,\n", - " 3.87500000e-01, 3.12500000e-01, 3.05000000e+00, 2.60000000e+00,\n", - " 1.25000000e-01, 0.00000000e+00, 5.75000000e-01, 5.87500000e-01,\n", - " 5.00000000e-02, 1.37500000e-01, 1.05000000e+00, 2.15000000e+00,\n", - " 1.27500000e+00, 4.12500000e-01, 4.25000000e-01, 3.15000000e+00,\n", - " 7.32500000e+00, 6.51250000e+00, 1.42500000e+00, 2.30000000e+00,\n", - " 2.68750000e+00, 3.00000000e+00, 3.37500000e-01, 7.00000000e-01,\n", - " 1.25000000e-01, 1.50000000e-01, 2.25000000e-01, 0.00000000e+00,\n", - " 6.25000000e-02, 1.75000000e-01, 2.53750000e+00, 6.62500000e-01,\n", - " 7.50000000e-02, 0.00000000e+00, 1.87500000e-01, 2.03750000e+00,\n", - " 1.62500000e+00, 5.80000000e+00, 7.60000000e+00, 1.41250000e+00,\n", - " 2.25000000e-01, 1.12500000e-01, 5.87500000e-01, 1.12500000e-01,\n", - " 3.36250000e+00, 2.61250000e+00, 8.00000000e-01, 6.50000000e-01,\n", - " 6.81250000e+00, 1.37500000e+00, 0.00000000e+00, 3.28750000e+00,\n", - " 2.16250000e+00, 1.06750000e+01, 1.72500000e+00, 5.11250000e+00,\n", - " 1.06250000e+00, 1.45000000e+00, 3.96250000e+00, 6.65000000e+00,\n", - " 5.95000000e+00, 1.19125000e+01, 1.77500000e+00, 7.62500000e-01,\n", - " 5.06250000e+00, 6.27500000e+00, 2.13750000e+00, 1.17500000e+00,\n", - " 2.50000000e-01, 1.00000000e+00, 1.86250000e+00, 1.30000000e+00,\n", - " 1.10000000e+00, 3.25000000e+00, 9.25000000e-01, 3.12500000e-01,\n", - " 6.21250000e+00, 5.28750000e+00, 4.63750000e+00, 4.85000000e+00,\n", - " 7.37500000e-01, 8.37500000e-01, 1.62500000e-01, 4.37500000e-01,\n", - " 9.00000000e-01, 1.72500000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.24125000e+01, 1.80500000e+01, 3.91875000e+01, 1.02500000e+00,\n", - " 1.12500000e+00, 6.12500000e-01, 1.37500000e-01, 1.50000000e-01,\n", - " 3.75000000e-01, 3.25000000e-01, 2.01250000e+00, 1.83750000e+00,\n", - " 1.72500000e+00, 5.00000000e-01, 1.29500000e+01, 2.37125000e+01,\n", - " 3.62500000e-01, 3.12500000e-01, 8.37500000e-01, 3.37500000e-01,\n", - " 3.75000000e-01, 8.87500000e-01, 1.67500000e+00, 6.00000000e-01,\n", - " 8.50000000e-01, 8.75000000e-01, 1.12500000e-01, 2.13750000e+00,\n", - " 2.75000000e-01, 6.62500000e-01, 7.87500000e-01, 2.03750000e+00,\n", - " 1.58750000e+00, 1.37500000e-01, 2.36250000e+00, 7.12500000e-01,\n", - " 5.12500000e-01, 5.62500000e-01, 1.32500000e+00, 6.75000000e-01,\n", - " 1.46250000e+00, 7.50000000e-02, 6.87500000e-01, 4.25000000e-01,\n", - " 6.00000000e-01, 2.12500000e-01, 2.44875000e+01, 6.25000000e-01,\n", - " 5.50000000e-01, 2.50000000e+01, 9.00000000e-01, 1.62500000e-01,\n", - " 0.00000000e+00, 1.62500000e-01, 7.50000000e-02, 6.25000000e-01,\n", - " 8.62500000e-01, 1.75000000e-01, 6.62500000e-01, 8.25000000e+00,\n", - " 5.26250000e+00, 6.36250000e+00, 2.22000000e+01, 1.92750000e+01,\n", - " 5.25000000e-01, 3.00000000e-01, 5.05000000e+00, 3.25000000e+00,\n", - " 1.09875000e+01, 7.80000000e+00, 1.12500000e-01, 2.75000000e+00,\n", - " 7.87500000e-01, 1.11625000e+01, 6.25000000e-02, 8.75000000e-02,\n", - " 1.37500000e-01, 6.25000000e-02, 3.93750000e+00, 3.11250000e+00,\n", - " 3.12500000e+00, 9.81250000e+00, 5.12500000e-01, 1.25000000e-01,\n", - " 4.88750000e+00, 1.62500000e-01, 5.12500000e-01, 7.88750000e+00,\n", - " 5.37500000e-01, 5.00000000e-01, 4.75000000e-01, 5.50000000e-01,\n", - " 2.87500000e-01, 6.38750000e+00, 3.62500000e+00, 1.12500000e+00,\n", - " 1.71250000e+00, 6.00000000e-01, 1.12500000e-01, 3.20000000e+00,\n", - " 2.00000000e+00, 4.56250000e+00, 4.50000000e-01, 8.00000000e-01,\n", - " 2.87500000e-01, 4.62500000e-01, 9.37500000e-01, 3.58750000e+00,\n", - " 1.01250000e+00, 3.68750000e+00, 1.41250000e+00, 5.25000000e-01,\n", - " 1.10000000e+00, 1.88750000e+00, 3.15000000e+00, 8.60000000e+00,\n", - " 9.62500000e-01, 4.56250000e+00, 4.25000000e-01, 4.12500000e-01,\n", - " 1.12500000e+00, 2.28750000e+00, 8.75000000e-01, 2.60000000e+00,\n", - " 1.75000000e-01, 5.87500000e-01, 3.25000000e+00, 1.70000000e+00,\n", - " 2.12500000e-01, 3.87500000e-01, 1.36250000e+00, 7.87500000e-01,\n", - " 1.48750000e+00, 1.00000000e+00, 1.37500000e-01, 4.37500000e-01,\n", - " 1.00000000e-01, 1.25000000e-02, 5.07500000e+00, 6.78750000e+00,\n", - " 3.25000000e-01, 2.37500000e-01, 1.50125000e+01, 6.77500000e+00,\n", - " 1.28750000e+00, 5.07500000e+00, 7.87500000e-01, 2.65000000e+00,\n", - " 3.50000000e-01, 3.12500000e-01, 3.53750000e+00, 4.25000000e-01,\n", - " 1.62500000e-01, 2.46250000e+00, 1.38750000e+00, 6.50000000e-01,\n", - " 5.72500000e+00, 2.00000000e-01, 4.62500000e-01, 2.37500000e-01,\n", - " 3.37500000e-01, 1.25000000e-01, 7.81250000e+00, 4.07500000e+00,\n", - " 4.62500000e-01, 2.12500000e-01, 3.32500000e+00, 3.50000000e-01,\n", - " 1.66250000e+00, 1.25000000e-02, 1.53750000e+00, 1.97500000e+00,\n", - " 5.62500000e-01, 1.86250000e+00, 3.12500000e-01, 9.93750000e+00,\n", - " 4.25000000e-01, 4.12500000e-01, 3.87500000e-01, 1.43000000e+01,\n", - " 4.37500000e-01, 1.03750000e+00, 1.12500000e-01, 6.25000000e-02,\n", - " 3.46250000e+00, 1.23750000e+00, 1.00000000e-01, 0.00000000e+00,\n", - " 4.40000000e+00, 2.27500000e+00, 6.55000000e+00, 2.85000000e+00,\n", - " 7.50000000e-02, 5.00000000e-02, 3.75000000e-01, 1.70000000e+00,\n", - " 2.01250000e+00, 3.12500000e-01, 0.00000000e+00, 1.12500000e-01,\n", - " 1.17500000e+00, 2.25000000e-01, 4.00000000e-01, 6.62500000e-01,\n", - " 4.38750000e+00, 2.87500000e+00, 8.75000000e-02, 3.00000000e-01,\n", - " 1.62500000e-01, 1.25000000e-01, 1.25000000e-01, 3.75000000e-01,\n", - " 3.75000000e-01, 4.81250000e+00, 4.58750000e+00, 3.50000000e-01,\n", - " 4.87500000e-01, 1.87500000e-01, 1.37500000e-01, 4.12500000e-01,\n", - " 1.25000000e-01, 1.25000000e-01, 8.50000000e-01, 6.50000000e-01,\n", - " 8.87500000e-01, 1.11250000e+00, 9.48750000e+00, 1.95000000e+00,\n", - " 1.72500000e+00, 1.80000000e+00, 3.36250000e+00, 2.50000000e-01,\n", - " 1.62500000e+00, 4.63750000e+00, 3.25000000e-01, 1.32000000e+01,\n", - " 9.88750000e+00, 6.06250000e+00, 6.75000000e-01, 1.87500000e-01,\n", - " 1.10625000e+01, 2.80000000e+00, 4.66250000e+00, 1.02500000e+00,\n", - " 2.37500000e-01, 3.82500000e+00, 3.07500000e+00, 1.25000000e-01,\n", - " 5.00000000e-02, 3.75000000e-02, 1.12500000e+00, 5.00000000e-02,\n", - " 5.21250000e+00, 1.11750000e+01, 5.00000000e-01, 1.02500000e+00,\n", - " 2.30000000e+00, 6.25000000e-02, 2.87500000e-01, 3.37500000e+00,\n", - " 3.62500000e-01, 6.00000000e-01, 1.28750000e+00, 7.01250000e+00,\n", - " 3.86250000e+00, 8.00000000e-01, 1.26250000e+00, 1.67500000e+00,\n", - " 1.87500000e-01, 8.50000000e-01, 1.07500000e+00, 4.50000000e-01,\n", - " 6.25000000e-02, 6.75000000e-01, 3.25000000e-01, 3.12500000e-01,\n", - " 7.12500000e-01, 8.87500000e-01, 1.31250000e+00, 3.50000000e-01,\n", - " 3.75000000e-02, 4.75000000e-01, 6.03750000e+00, 3.37500000e-01,\n", - " 2.95000000e+00, 3.00000000e-01, 1.07500000e+00, 6.12500000e+00,\n", - " 9.61250000e+00, 2.15000000e+00, 4.10000000e+00, 4.75000000e-01,\n", - " 4.37500000e-01, 3.12500000e-01, 2.28750000e+00, 3.75000000e-01,\n", - " 4.00000000e-01, 2.25000000e-01, 6.25000000e-01, 6.00000000e-01,\n", - " 6.37500000e+00, 1.83750000e+00, 7.25000000e-01, 1.25000000e-02,\n", - " 6.12500000e-01, 2.31250000e+00, 2.66250000e+00, 2.50000000e+00,\n", - " 2.37500000e-01, 9.25000000e-01, 1.75000000e+00, 3.12500000e-01,\n", - " 7.87500000e-01, 4.75000000e-01, 2.12500000e-01, 3.50000000e-01,\n", - " 7.62500000e-01, 5.87500000e-01, 5.12500000e-01, 1.00000000e-01,\n", - " 3.76250000e+00, 4.78750000e+00, 1.87500000e-01, 2.00000000e-01,\n", - " 4.37500000e-01, 1.39750000e+01, 7.56250000e+00, 1.62500000e-01,\n", - " 5.33750000e+00, 2.77500000e+00, 1.25000000e-02, 5.37500000e-01,\n", - " 3.00000000e-01, 2.55000000e+00, 3.75000000e+00, 5.15000000e+00,\n", - " 3.50000000e-01, 1.00125000e+01, 1.71250000e+00, 7.25000000e+00,\n", - " 9.37500000e-01, 1.31250000e+00, 5.58750000e+00, 4.22500000e+00,\n", - " 1.73750000e+00, 1.98750000e+00, 0.00000000e+00, 1.25000000e+00,\n", - " 1.11250000e+00, 1.50000000e-01, 7.50000000e-02, 1.37500000e-01,\n", - " 2.12500000e-01, 4.00000000e-01, 8.25000000e-01, 5.62500000e-01,\n", - " 4.75000000e-01, 2.23750000e+00, 2.43750000e+00, 5.00000000e-02,\n", - " 4.87500000e-01, 6.75000000e-01, 3.00000000e-01, 4.62500000e-01,\n", - " 2.50000000e-01, 8.12500000e-01, 2.08750000e+00, 3.00000000e-01,\n", - " 2.37500000e-01, 1.37000000e+01, 5.37500000e-01, 4.62500000e-01,\n", - " 4.00000000e-01, 2.56250000e+00, 5.87500000e-01, 2.12500000e-01,\n", - " 1.80000000e+00, 4.75000000e-01, 3.31250000e+00, 8.75000000e-01,\n", - " 7.48750000e+00, 5.41250000e+00, 5.12500000e+00, 4.62500000e-01,\n", - " 5.00000000e-02, 5.87500000e-01, 1.37500000e-01, 3.37500000e-01,\n", - " 6.95000000e+00, 3.62500000e-01, 3.75000000e-02, 2.00000000e-01,\n", - " 4.65000000e+00, 1.17500000e+00, 2.75000000e-01, 9.50000000e-01,\n", - " 4.60000000e+00, 8.35000000e+00, 1.53000000e+01, 1.77500000e+00,\n", - " 8.05000000e+00, 1.08125000e+01, 9.37500000e-01, 4.87500000e-01,\n", - " 1.31250000e+00, 1.83500000e+01, 9.80000000e+00, 5.00000000e-02,\n", - " 5.62500000e-01, 8.25000000e-01, 3.50000000e-01, 1.60000000e+00,\n", - " 7.25000000e-01, 1.25000000e+00, 1.38750000e+00, 7.38750000e+00,\n", - " 1.73750000e+00, 1.00000000e-01, 2.10000000e+00, 3.31250000e+00,\n", - " 1.98750000e+00, 1.73750000e+00, 1.12500000e-01, 9.62500000e-01,\n", - " 5.87500000e-01, 2.12500000e-01, 1.12500000e-01, 9.23750000e+00,\n", - " 6.75000000e-01, 2.62500000e-01, 8.75000000e-01, 1.67500000e+00,\n", - " 9.88750000e+00, 5.52500000e+00, 8.62500000e-01, 1.20000000e+00,\n", - " 4.85000000e+00, 6.87500000e-01, 1.17500000e+00, 3.75000000e+00,\n", - " 3.17500000e+00, 4.62500000e-01, 5.76250000e+00, 5.25000000e-01,\n", - " 1.14750000e+01, 6.12500000e-01, 1.83750000e+00, 8.75000000e-02,\n", - " 6.25000000e-02, 1.62500000e-01, 9.50000000e-01, 6.37500000e-01,\n", - " 1.02500000e+00, 5.62500000e-01, 4.37500000e-01, 5.37500000e-01,\n", - " 1.88750000e+00, 6.50000000e-01, 2.62500000e-01, 2.50000000e+00,\n", - " 2.12500000e-01, 8.02500000e+00, 1.93750000e+00, 1.97500000e+00,\n", - " 4.62500000e-01, 7.25000000e-01, 2.75000000e-01, 8.92500000e+00,\n", - " 3.50000000e-01, 1.62500000e-01, 1.86250000e+00, 1.65500000e+01,\n", - " 2.50000000e-01, 4.00000000e-01, 5.00000000e-02, 7.65000000e+00,\n", - " 1.25000000e-01, 1.72500000e+00, 2.50000000e-01, 6.88750000e+00,\n", - " 2.80000000e+00, 1.12500000e-01, 2.50000000e-02, 4.62500000e+00,\n", - " 8.75000000e-02, 7.62500000e-01, 2.55000000e+00, 6.75000000e-01,\n", - " 3.08750000e+00, 1.03750000e+00, 2.20000000e+00, 3.50000000e-01,\n", - " 6.50000000e-01, 1.12500000e-01, 9.51250000e+00, 9.75000000e+00,\n", - " 2.11250000e+00, 5.18750000e+00, 1.06500000e+01, 4.12500000e-01,\n", - " 6.25000000e-02, 2.12500000e-01, 4.37500000e-01, 5.62500000e-01,\n", - " 1.87500000e-01, 7.50000000e-02, 4.12500000e-01, 1.00000000e+00,\n", - " 1.38750000e+00, 4.12500000e-01, 2.25000000e-01, 2.12500000e-01,\n", - " 2.87500000e-01, 3.75000000e-02, 9.25000000e-01, 4.75000000e-01,\n", - " 2.25000000e-01, 1.16250000e+00, 1.00000000e-01, 1.78750000e+00,\n", - " 3.05000000e+00, 1.11250000e+00, 2.90000000e+00, 5.26250000e+00,\n", - " 1.66250000e+00, 8.00000000e+00, 8.75000000e-01, 1.53750000e+00,\n", - " 3.00000000e+00, 1.21250000e+00, 5.75000000e-01, 7.25000000e-01,\n", - " 3.25000000e-01, 4.12500000e-01, 1.25000000e-02, 4.62500000e-01,\n", - " 2.12500000e-01, 1.12500000e-01, 5.12500000e-01, 2.33750000e+00,\n", - " 5.50000000e-01, 4.50000000e-01, 1.87500000e-01, 8.12500000e-01,\n", - " 5.35000000e+00, 2.26250000e+00, 6.12500000e-01, 1.48750000e+00,\n", - " 4.37500000e-01, 1.10000000e+01, 7.75000000e-01, 3.73750000e+00,\n", - " 7.50000000e-01, 9.50000000e-01, 3.87500000e-01, 1.10000000e+00,\n", - " 5.75000000e-01, 4.12500000e-01, 1.40000000e+00, 7.50000000e-02,\n", - " 2.25000000e-01, 5.87500000e-01, 4.37500000e-01, 5.75000000e-01,\n", - " 1.62500000e-01, 8.37500000e-01, 5.00000000e+00, 1.43750000e+00,\n", - " 2.26250000e+00, 1.36250000e+00, 7.87500000e-01, 1.72500000e+00,\n", - " 5.76250000e+00, 4.38750000e+00, 3.25000000e-01, 1.30000000e+00,\n", - " 6.62500000e-01, 8.62500000e-01, 1.95000000e+00, 3.71250000e+00,\n", - " 3.75000000e-02, 6.25000000e-02, 4.41250000e+00, 4.55000000e+00,\n", - " 7.00000000e-01, 8.75000000e-02, 4.87500000e-01, 3.25000000e-01,\n", - " 3.75000000e-02, 8.75000000e-02, 3.75000000e-01, 4.37500000e-01,\n", - " 4.96250000e+00, 2.40000000e+00, 2.62500000e-01, 7.37500000e-01,\n", - " 5.15000000e+00, 3.00000000e-01, 9.35000000e+00, 4.50000000e-01,\n", - " 6.73750000e+00, 6.12500000e-01, 2.66250000e+00, 5.00000000e-02,\n", - " 1.62500000e-01, 4.25000000e-01, 1.75000000e-01, 2.83750000e+00,\n", - " 1.72500000e+00, 1.36250000e+00, 2.00000000e-01, 5.37500000e-01,\n", - " 3.75000000e-02, 2.30000000e+00, 6.37500000e-01, 7.50000000e-02,\n", - " 1.05000000e+00, 3.66250000e+00, 1.30000000e+00, 1.25000000e-02,\n", - " 5.42500000e+00, 3.75000000e-01, 3.82500000e+00, 6.25000000e-02,\n", - " 3.75000000e-02, 4.87500000e-01, 2.27500000e+00, 3.50000000e-01,\n", - " 9.50000000e-01, 2.21250000e+00, 1.12500000e-01, 1.50000000e-01,\n", - " 7.90000000e+00, 5.00000000e-02, 5.00000000e-02, 4.00000000e-01,\n", - " 4.62500000e-01, 4.00000000e-01, 1.37500000e-01, 6.75000000e-01,\n", - " 5.75000000e-01, 8.00000000e-01, 6.00000000e-01, 1.72500000e+00,\n", - " 3.11250000e+00, 2.37500000e-01, 1.25000000e-01, 3.25000000e-01,\n", - " 5.37500000e-01, 5.50000000e-01, 1.80000000e+00, 2.12500000e-01,\n", - " 1.12500000e-01, 6.12500000e-01, 3.18750000e+00, 1.03750000e+00,\n", - " 5.87500000e-01, 2.21500000e+01, 2.50000000e-02, 2.75000000e-01,\n", - " 2.62500000e-01, 7.50000000e-02, 8.75000000e-02, 1.12500000e-01,\n", - " 1.00000000e-01, 7.25000000e-01, 1.75000000e-01, 2.32500000e+00,\n", - " 1.20250000e+01, 6.87500000e-01, 2.37500000e-01, 8.12500000e-01,\n", - " 4.33750000e+00, 3.37500000e-01, 2.12500000e-01, 9.37500000e-01,\n", - " 1.87500000e-01, 1.08750000e+00, 1.85000000e+00, 1.51250000e+00,\n", - " 1.37500000e-01, 7.00000000e-01, 4.87500000e-01, 3.62500000e-01,\n", - " 5.87500000e-01, 3.27500000e+00, 7.00000000e-01, 1.13750000e+00,\n", - " 1.85000000e+00, 2.25000000e+00, 1.75000000e-01, 5.00000000e-01,\n", - " 2.07500000e+00, 1.90000000e+00, 6.77500000e+00, 1.62500000e-01,\n", - " 2.48750000e+00, 3.00000000e-01, 7.37500000e-01, 1.03750000e+00,\n", - " 2.50000000e-01, 1.03750000e+00, 3.75000000e-01, 3.12500000e-01,\n", - " 8.75000000e-01, 9.87500000e-01, 2.25000000e-01, 1.00000000e-01,\n", - " 8.00000000e-01, 1.41250000e+00, 8.87500000e-01, 5.87500000e-01,\n", - " 3.37500000e-01, 3.75000000e-02, 1.42500000e+00, 4.01250000e+00,\n", - " 5.37500000e-01, 2.75000000e-01, 1.25000000e-02, 8.25000000e-01,\n", - " 5.87500000e-01, 1.87500000e-01, 2.25000000e-01, 9.87500000e-01,\n", - " 3.00000000e-01, 6.40000000e+00, 5.87500000e-01, 2.25000000e-01,\n", - " 0.00000000e+00, 1.27500000e+00, 3.00000000e-01, 4.00000000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.56838510e+03, -2.52731782e+03, -9.21629516e+01, -5.62752851e+01,\n", - " 0.00000000e+00, -1.11340105e+02, -1.88628579e+01, 0.00000000e+00,\n", - " 0.00000000e+00, 1.59755702e+01, -2.41420248e+02, -4.13707018e+02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 8.37500000e-01, 3.91250000e+00, 7.63750000e+00, 5.41250000e+00,\n", - " 2.87500000e-01, 5.25000000e-01, 3.50000000e-01, 7.37500000e-01,\n", - " 1.21250000e+00, 1.87500000e-01, 7.37500000e-01, 5.87500000e-01,\n", - " 1.31500000e+01, 5.00000000e-02, 1.75000000e-01, 1.12500000e-01,\n", - " 6.56250000e+00, 4.72500000e+00, 7.12500000e-01, 1.11250000e+00,\n", - " 2.62500000e-01, 1.37500000e-01, 7.50000000e-02, 0.00000000e+00,\n", - " 2.50000000e-01, 8.25000000e-01, 6.25000000e-02, 4.81250000e+00,\n", - " 9.37500000e-01, 3.86250000e+00, 2.05000000e+00, 1.56250000e+00,\n", - " 1.72500000e+00, 7.50000000e-02, 0.00000000e+00, 8.75000000e-02,\n", - " 9.75000000e-01, 4.50000000e-01, 2.25000000e-01, 1.62500000e-01,\n", - " 5.62500000e-01, 5.25000000e-01, 1.41250000e+00, 2.97500000e+00,\n", - " 4.75000000e-01, 4.93750000e+00, 1.56250000e+00, 6.28750000e+00,\n", - " 7.87500000e-01, 2.19750000e+01, 1.37500000e-01, 1.75000000e-01,\n", - " 5.75000000e-01, 4.12500000e-01, 9.25000000e-01, 2.25000000e-01,\n", - " 8.25000000e-01, 6.57500000e+00, 1.14125000e+01, 3.06250000e+00,\n", - " 2.13750000e+00, 1.87500000e+00, 7.50000000e-01, 3.20000000e+00,\n", - " 3.87500000e-01, 3.12500000e-01, 3.05000000e+00, 2.60000000e+00,\n", - " 1.25000000e-01, 0.00000000e+00, 5.75000000e-01, 5.87500000e-01,\n", - " 5.00000000e-02, 1.37500000e-01, 1.05000000e+00, 2.15000000e+00,\n", - " 1.27500000e+00, 4.12500000e-01, 4.25000000e-01, 3.15000000e+00,\n", - " 7.32500000e+00, 6.51250000e+00, 1.42500000e+00, 2.30000000e+00,\n", - " 2.68750000e+00, 3.00000000e+00, 3.37500000e-01, 7.00000000e-01,\n", - " 1.25000000e-01, 1.50000000e-01, 2.25000000e-01, 0.00000000e+00,\n", - " 6.25000000e-02, 1.75000000e-01, 2.53750000e+00, 6.62500000e-01,\n", - " 7.50000000e-02, 0.00000000e+00, 1.87500000e-01, 2.03750000e+00,\n", - " 1.62500000e+00, 5.80000000e+00, 7.60000000e+00, 1.41250000e+00,\n", - " 2.25000000e-01, 1.12500000e-01, 5.87500000e-01, 1.12500000e-01,\n", - " 3.36250000e+00, 2.61250000e+00, 8.00000000e-01, 6.50000000e-01,\n", - " 6.81250000e+00, 1.37500000e+00, 0.00000000e+00, 3.28750000e+00,\n", - " 2.16250000e+00, 1.06750000e+01, 1.72500000e+00, 5.11250000e+00,\n", - " 1.06250000e+00, 1.45000000e+00, 3.96250000e+00, 6.65000000e+00,\n", - " 5.95000000e+00, 1.19125000e+01, 1.77500000e+00, 7.62500000e-01,\n", - " 5.06250000e+00, 6.27500000e+00, 2.13750000e+00, 1.17500000e+00,\n", - " 2.50000000e-01, 1.00000000e+00, 1.86250000e+00, 1.30000000e+00,\n", - " 1.10000000e+00, 3.25000000e+00, 9.25000000e-01, 3.12500000e-01,\n", - " 6.21250000e+00, 5.28750000e+00, 4.63750000e+00, 4.85000000e+00,\n", - " 7.37500000e-01, 8.37500000e-01, 1.62500000e-01, 4.37500000e-01,\n", - " 9.00000000e-01, 1.72500000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.24125000e+01, 1.80500000e+01, 3.91875000e+01, 1.02500000e+00,\n", - " 1.12500000e+00, 6.12500000e-01, 1.37500000e-01, 1.50000000e-01,\n", - " 3.75000000e-01, 3.25000000e-01, 2.01250000e+00, 1.83750000e+00,\n", - " 1.72500000e+00, 5.00000000e-01, 1.29500000e+01, 2.37125000e+01,\n", - " 3.62500000e-01, 3.12500000e-01, 8.37500000e-01, 3.37500000e-01,\n", - " 3.75000000e-01, 8.87500000e-01, 1.67500000e+00, 6.00000000e-01,\n", - " 8.50000000e-01, 8.75000000e-01, 1.12500000e-01, 2.13750000e+00,\n", - " 2.75000000e-01, 6.62500000e-01, 7.87500000e-01, 2.03750000e+00,\n", - " 1.58750000e+00, 1.37500000e-01, 2.36250000e+00, 7.12500000e-01,\n", - " 5.12500000e-01, 5.62500000e-01, 1.32500000e+00, 6.75000000e-01,\n", - " 1.46250000e+00, 7.50000000e-02, 6.87500000e-01, 4.25000000e-01,\n", - " 6.00000000e-01, 2.12500000e-01, 2.44875000e+01, 6.25000000e-01,\n", - " 5.50000000e-01, 2.50000000e+01, 9.00000000e-01, 1.62500000e-01,\n", - " 0.00000000e+00, 1.62500000e-01, 7.50000000e-02, 6.25000000e-01,\n", - " 8.62500000e-01, 1.75000000e-01, 6.62500000e-01, 8.25000000e+00,\n", - " 5.26250000e+00, 6.36250000e+00, 2.22000000e+01, 1.92750000e+01,\n", - " 5.25000000e-01, 3.00000000e-01, 5.05000000e+00, 3.25000000e+00,\n", - " 1.09875000e+01, 7.80000000e+00, 1.12500000e-01, 2.75000000e+00,\n", - " 7.87500000e-01, 1.11625000e+01, 6.25000000e-02, 8.75000000e-02,\n", - " 1.37500000e-01, 6.25000000e-02, 3.93750000e+00, 3.11250000e+00,\n", - " 3.12500000e+00, 9.81250000e+00, 5.12500000e-01, 1.25000000e-01,\n", - " 4.88750000e+00, 1.62500000e-01, 5.12500000e-01, 7.88750000e+00,\n", - " 5.37500000e-01, 5.00000000e-01, 4.75000000e-01, 5.50000000e-01,\n", - " 2.87500000e-01, 6.38750000e+00, 3.62500000e+00, 1.12500000e+00,\n", - " 1.71250000e+00, 6.00000000e-01, 1.12500000e-01, 3.20000000e+00,\n", - " 2.00000000e+00, 4.56250000e+00, 4.50000000e-01, 8.00000000e-01,\n", - " 2.87500000e-01, 4.62500000e-01, 9.37500000e-01, 3.58750000e+00,\n", - " 1.01250000e+00, 3.68750000e+00, 1.41250000e+00, 5.25000000e-01,\n", - " 1.10000000e+00, 1.88750000e+00, 3.15000000e+00, 8.60000000e+00,\n", - " 9.62500000e-01, 4.56250000e+00, 4.25000000e-01, 4.12500000e-01,\n", - " 1.12500000e+00, 2.28750000e+00, 8.75000000e-01, 2.60000000e+00,\n", - " 1.75000000e-01, 5.87500000e-01, 3.25000000e+00, 1.70000000e+00,\n", - " 2.12500000e-01, 3.87500000e-01, 1.36250000e+00, 7.87500000e-01,\n", - " 1.48750000e+00, 1.00000000e+00, 1.37500000e-01, 4.37500000e-01,\n", - " 1.00000000e-01, 1.25000000e-02, 5.07500000e+00, 6.78750000e+00,\n", - " 3.25000000e-01, 2.37500000e-01, 1.50125000e+01, 6.77500000e+00,\n", - " 1.28750000e+00, 5.07500000e+00, 7.87500000e-01, 2.65000000e+00,\n", - " 3.50000000e-01, 3.12500000e-01, 3.53750000e+00, 4.25000000e-01,\n", - " 1.62500000e-01, 2.46250000e+00, 1.38750000e+00, 6.50000000e-01,\n", - " 5.72500000e+00, 2.00000000e-01, 4.62500000e-01, 2.37500000e-01,\n", - " 3.37500000e-01, 1.25000000e-01, 7.81250000e+00, 4.07500000e+00,\n", - " 4.62500000e-01, 2.12500000e-01, 3.32500000e+00, 3.50000000e-01,\n", - " 1.66250000e+00, 1.25000000e-02, 1.53750000e+00, 1.97500000e+00,\n", - " 5.62500000e-01, 1.86250000e+00, 3.12500000e-01, 9.93750000e+00,\n", - " 4.25000000e-01, 4.12500000e-01, 3.87500000e-01, 1.43000000e+01,\n", - " 4.37500000e-01, 1.03750000e+00, 1.12500000e-01, 6.25000000e-02,\n", - " 3.46250000e+00, 1.23750000e+00, 1.00000000e-01, 0.00000000e+00,\n", - " 4.40000000e+00, 2.27500000e+00, 6.55000000e+00, 2.85000000e+00,\n", - " 7.50000000e-02, 5.00000000e-02, 3.75000000e-01, 1.70000000e+00,\n", - " 2.01250000e+00, 3.12500000e-01, 0.00000000e+00, 1.12500000e-01,\n", - " 1.17500000e+00, 2.25000000e-01, 4.00000000e-01, 6.62500000e-01,\n", - " 4.38750000e+00, 2.87500000e+00, 8.75000000e-02, 3.00000000e-01,\n", - " 1.62500000e-01, 1.25000000e-01, 1.25000000e-01, 3.75000000e-01,\n", - " 3.75000000e-01, 4.81250000e+00, 4.58750000e+00, 3.50000000e-01,\n", - " 4.87500000e-01, 1.87500000e-01, 1.37500000e-01, 4.12500000e-01,\n", - " 1.25000000e-01, 1.25000000e-01, 8.50000000e-01, 6.50000000e-01,\n", - " 8.87500000e-01, 1.11250000e+00, 9.48750000e+00, 1.95000000e+00,\n", - " 1.72500000e+00, 1.80000000e+00, 3.36250000e+00, 2.50000000e-01,\n", - " 1.62500000e+00, 4.63750000e+00, 3.25000000e-01, 1.32000000e+01,\n", - " 9.88750000e+00, 6.06250000e+00, 6.75000000e-01, 1.87500000e-01,\n", - " 1.10625000e+01, 2.80000000e+00, 4.66250000e+00, 1.02500000e+00,\n", - " 2.37500000e-01, 3.82500000e+00, 3.07500000e+00, 1.25000000e-01,\n", - " 5.00000000e-02, 3.75000000e-02, 1.12500000e+00, 5.00000000e-02,\n", - " 5.21250000e+00, 1.11750000e+01, 5.00000000e-01, 1.02500000e+00,\n", - " 2.30000000e+00, 6.25000000e-02, 2.87500000e-01, 3.37500000e+00,\n", - " 3.62500000e-01, 6.00000000e-01, 1.28750000e+00, 7.01250000e+00,\n", - " 3.86250000e+00, 8.00000000e-01, 1.26250000e+00, 1.67500000e+00,\n", - " 1.87500000e-01, 8.50000000e-01, 1.07500000e+00, 4.50000000e-01,\n", - " 6.25000000e-02, 6.75000000e-01, 3.25000000e-01, 3.12500000e-01,\n", - " 7.12500000e-01, 8.87500000e-01, 1.31250000e+00, 3.50000000e-01,\n", - " 3.75000000e-02, 4.75000000e-01, 6.03750000e+00, 3.37500000e-01,\n", - " 2.95000000e+00, 3.00000000e-01, 1.07500000e+00, 6.12500000e+00,\n", - " 9.61250000e+00, 2.15000000e+00, 4.10000000e+00, 4.75000000e-01,\n", - " 4.37500000e-01, 3.12500000e-01, 2.28750000e+00, 3.75000000e-01,\n", - " 4.00000000e-01, 2.25000000e-01, 6.25000000e-01, 6.00000000e-01,\n", - " 6.37500000e+00, 1.83750000e+00, 7.25000000e-01, 1.25000000e-02,\n", - " 6.12500000e-01, 2.31250000e+00, 2.66250000e+00, 2.50000000e+00,\n", - " 2.37500000e-01, 9.25000000e-01, 1.75000000e+00, 3.12500000e-01,\n", - " 7.87500000e-01, 4.75000000e-01, 2.12500000e-01, 3.50000000e-01,\n", - " 7.62500000e-01, 5.87500000e-01, 5.12500000e-01, 1.00000000e-01,\n", - " 3.76250000e+00, 4.78750000e+00, 1.87500000e-01, 2.00000000e-01,\n", - " 4.37500000e-01, 1.39750000e+01, 7.56250000e+00, 1.62500000e-01,\n", - " 5.33750000e+00, 2.77500000e+00, 1.25000000e-02, 5.37500000e-01,\n", - " 3.00000000e-01, 2.55000000e+00, 3.75000000e+00, 5.15000000e+00,\n", - " 3.50000000e-01, 1.00125000e+01, 1.71250000e+00, 7.25000000e+00,\n", - " 9.37500000e-01, 1.31250000e+00, 5.58750000e+00, 4.22500000e+00,\n", - " 1.73750000e+00, 1.98750000e+00, 0.00000000e+00, 1.25000000e+00,\n", - " 1.11250000e+00, 1.50000000e-01, 7.50000000e-02, 1.37500000e-01,\n", - " 2.12500000e-01, 4.00000000e-01, 8.25000000e-01, 5.62500000e-01,\n", - " 4.75000000e-01, 2.23750000e+00, 2.43750000e+00, 5.00000000e-02,\n", - " 4.87500000e-01, 6.75000000e-01, 3.00000000e-01, 4.62500000e-01,\n", - " 2.50000000e-01, 8.12500000e-01, 2.08750000e+00, 3.00000000e-01,\n", - " 2.37500000e-01, 1.37000000e+01, 5.37500000e-01, 4.62500000e-01,\n", - " 4.00000000e-01, 2.56250000e+00, 5.87500000e-01, 2.12500000e-01,\n", - " 1.80000000e+00, 4.75000000e-01, 3.31250000e+00, 8.75000000e-01,\n", - " 7.48750000e+00, 5.41250000e+00, 5.12500000e+00, 4.62500000e-01,\n", - " 5.00000000e-02, 5.87500000e-01, 1.37500000e-01, 3.37500000e-01,\n", - " 6.95000000e+00, 3.62500000e-01, 3.75000000e-02, 2.00000000e-01,\n", - " 4.65000000e+00, 1.17500000e+00, 2.75000000e-01, 9.50000000e-01,\n", - " 4.60000000e+00, 8.35000000e+00, 1.53000000e+01, 1.77500000e+00,\n", - " 8.05000000e+00, 1.08125000e+01, 9.37500000e-01, 4.87500000e-01,\n", - " 1.31250000e+00, 1.83500000e+01, 9.80000000e+00, 5.00000000e-02,\n", - " 5.62500000e-01, 8.25000000e-01, 3.50000000e-01, 1.60000000e+00,\n", - " 7.25000000e-01, 1.25000000e+00, 1.38750000e+00, 7.38750000e+00,\n", - " 1.73750000e+00, 1.00000000e-01, 2.10000000e+00, 3.31250000e+00,\n", - " 1.98750000e+00, 1.73750000e+00, 1.12500000e-01, 9.62500000e-01,\n", - " 5.87500000e-01, 2.12500000e-01, 1.12500000e-01, 9.23750000e+00,\n", - " 6.75000000e-01, 2.62500000e-01, 8.75000000e-01, 1.67500000e+00,\n", - " 9.88750000e+00, 5.52500000e+00, 8.62500000e-01, 1.20000000e+00,\n", - " 4.85000000e+00, 6.87500000e-01, 1.17500000e+00, 3.75000000e+00,\n", - " 3.17500000e+00, 4.62500000e-01, 5.76250000e+00, 5.25000000e-01,\n", - " 1.14750000e+01, 6.12500000e-01, 1.83750000e+00, 8.75000000e-02,\n", - " 6.25000000e-02, 1.62500000e-01, 9.50000000e-01, 6.37500000e-01,\n", - " 1.02500000e+00, 5.62500000e-01, 4.37500000e-01, 5.37500000e-01,\n", - " 1.88750000e+00, 6.50000000e-01, 2.62500000e-01, 2.50000000e+00,\n", - " 2.12500000e-01, 8.02500000e+00, 1.93750000e+00, 1.97500000e+00,\n", - " 4.62500000e-01, 7.25000000e-01, 2.75000000e-01, 8.92500000e+00,\n", - " 3.50000000e-01, 1.62500000e-01, 1.86250000e+00, 1.65500000e+01,\n", - " 2.50000000e-01, 4.00000000e-01, 5.00000000e-02, 7.65000000e+00,\n", - " 1.25000000e-01, 1.72500000e+00, 2.50000000e-01, 6.88750000e+00,\n", - " 2.80000000e+00, 1.12500000e-01, 2.50000000e-02, 4.62500000e+00,\n", - " 8.75000000e-02, 7.62500000e-01, 2.55000000e+00, 6.75000000e-01,\n", - " 3.08750000e+00, 1.03750000e+00, 2.20000000e+00, 3.50000000e-01,\n", - " 6.50000000e-01, 1.12500000e-01, 9.51250000e+00, 9.75000000e+00,\n", - " 2.11250000e+00, 5.18750000e+00, 1.06500000e+01, 4.12500000e-01,\n", - " 6.25000000e-02, 2.12500000e-01, 4.37500000e-01, 5.62500000e-01,\n", - " 1.87500000e-01, 7.50000000e-02, 4.12500000e-01, 1.00000000e+00,\n", - " 1.38750000e+00, 4.12500000e-01, 2.25000000e-01, 2.12500000e-01,\n", - " 2.87500000e-01, 3.75000000e-02, 9.25000000e-01, 4.75000000e-01,\n", - " 2.25000000e-01, 1.16250000e+00, 1.00000000e-01, 1.78750000e+00,\n", - " 3.05000000e+00, 1.11250000e+00, 2.90000000e+00, 5.26250000e+00,\n", - " 1.66250000e+00, 8.00000000e+00, 8.75000000e-01, 1.53750000e+00,\n", - " 3.00000000e+00, 1.21250000e+00, 5.75000000e-01, 7.25000000e-01,\n", - " 3.25000000e-01, 4.12500000e-01, 1.25000000e-02, 4.62500000e-01,\n", - " 2.12500000e-01, 1.12500000e-01, 5.12500000e-01, 2.33750000e+00,\n", - " 5.50000000e-01, 4.50000000e-01, 1.87500000e-01, 8.12500000e-01,\n", - " 5.35000000e+00, 2.26250000e+00, 6.12500000e-01, 1.48750000e+00,\n", - " 4.37500000e-01, 1.10000000e+01, 7.75000000e-01, 3.73750000e+00,\n", - " 7.50000000e-01, 9.50000000e-01, 3.87500000e-01, 1.10000000e+00,\n", - " 5.75000000e-01, 4.12500000e-01, 1.40000000e+00, 7.50000000e-02,\n", - " 2.25000000e-01, 5.87500000e-01, 4.37500000e-01, 5.75000000e-01,\n", - " 1.62500000e-01, 8.37500000e-01, 5.00000000e+00, 1.43750000e+00,\n", - " 2.26250000e+00, 1.36250000e+00, 7.87500000e-01, 1.72500000e+00,\n", - " 5.76250000e+00, 4.38750000e+00, 3.25000000e-01, 1.30000000e+00,\n", - " 6.62500000e-01, 8.62500000e-01, 1.95000000e+00, 3.71250000e+00,\n", - " 3.75000000e-02, 6.25000000e-02, 4.41250000e+00, 4.55000000e+00,\n", - " 7.00000000e-01, 8.75000000e-02, 4.87500000e-01, 3.25000000e-01,\n", - " 3.75000000e-02, 8.75000000e-02, 3.75000000e-01, 4.37500000e-01,\n", - " 4.96250000e+00, 2.40000000e+00, 2.62500000e-01, 7.37500000e-01,\n", - " 5.15000000e+00, 3.00000000e-01, 9.35000000e+00, 4.50000000e-01,\n", - " 6.73750000e+00, 6.12500000e-01, 2.66250000e+00, 5.00000000e-02,\n", - " 1.62500000e-01, 4.25000000e-01, 1.75000000e-01, 2.83750000e+00,\n", - " 1.72500000e+00, 1.36250000e+00, 2.00000000e-01, 5.37500000e-01,\n", - " 3.75000000e-02, 2.30000000e+00, 6.37500000e-01, 7.50000000e-02,\n", - " 1.05000000e+00, 3.66250000e+00, 1.30000000e+00, 1.25000000e-02,\n", - " 5.42500000e+00, 3.75000000e-01, 3.82500000e+00, 6.25000000e-02,\n", - " 3.75000000e-02, 4.87500000e-01, 2.27500000e+00, 3.50000000e-01,\n", - " 9.50000000e-01, 2.21250000e+00, 1.12500000e-01, 1.50000000e-01,\n", - " 7.90000000e+00, 5.00000000e-02, 5.00000000e-02, 4.00000000e-01,\n", - " 4.62500000e-01, 4.00000000e-01, 1.37500000e-01, 6.75000000e-01,\n", - " 5.75000000e-01, 8.00000000e-01, 6.00000000e-01, 1.72500000e+00,\n", - " 3.11250000e+00, 2.37500000e-01, 1.25000000e-01, 3.25000000e-01,\n", - " 5.37500000e-01, 5.50000000e-01, 1.80000000e+00, 2.12500000e-01,\n", - " 1.12500000e-01, 6.12500000e-01, 3.18750000e+00, 1.03750000e+00,\n", - " 5.87500000e-01, 2.21500000e+01, 2.50000000e-02, 2.75000000e-01,\n", - " 2.62500000e-01, 7.50000000e-02, 8.75000000e-02, 1.12500000e-01,\n", - " 1.00000000e-01, 7.25000000e-01, 1.75000000e-01, 2.32500000e+00,\n", - " 1.20250000e+01, 6.87500000e-01, 2.37500000e-01, 8.12500000e-01,\n", - " 4.33750000e+00, 3.37500000e-01, 2.12500000e-01, 9.37500000e-01,\n", - " 1.87500000e-01, 1.08750000e+00, 1.85000000e+00, 1.51250000e+00,\n", - " 1.37500000e-01, 7.00000000e-01, 4.87500000e-01, 3.62500000e-01,\n", - " 5.87500000e-01, 3.27500000e+00, 7.00000000e-01, 1.13750000e+00,\n", - " 1.85000000e+00, 2.25000000e+00, 1.75000000e-01, 5.00000000e-01,\n", - " 2.07500000e+00, 1.90000000e+00, 6.77500000e+00, 1.62500000e-01,\n", - " 2.48750000e+00, 3.00000000e-01, 7.37500000e-01, 1.03750000e+00,\n", - " 2.50000000e-01, 1.03750000e+00, 3.75000000e-01, 3.12500000e-01,\n", - " 8.75000000e-01, 9.87500000e-01, 2.25000000e-01, 1.00000000e-01,\n", - " 8.00000000e-01, 1.41250000e+00, 8.87500000e-01, 5.87500000e-01,\n", - " 3.37500000e-01, 3.75000000e-02, 1.42500000e+00, 4.01250000e+00,\n", - " 5.37500000e-01, 2.75000000e-01, 1.25000000e-02, 8.25000000e-01,\n", - " 5.87500000e-01, 1.87500000e-01, 2.25000000e-01, 9.87500000e-01,\n", - " 3.00000000e-01, 6.40000000e+00, 5.87500000e-01, 2.25000000e-01,\n", - " 0.00000000e+00, 1.27500000e+00, 3.00000000e-01, 4.00000000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.56240487e+03, -2.52731782e+03, -9.21629627e+01, -5.83714704e+01,\n", - " 0.00000000e+00, 0.00000000e+00, -2.89569040e+01, 0.00000000e+00,\n", - " 0.00000000e+00, 1.54586349e+01, -2.54204338e+02, -4.93574714e+02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 8.37500000e-01, 3.91250000e+00, 7.63750000e+00, 5.41250000e+00,\n", - " 2.87500000e-01, 5.25000000e-01, 3.50000000e-01, 7.37500000e-01,\n", - " 1.21250000e+00, 1.87500000e-01, 7.37500000e-01, 5.87500000e-01,\n", - " 1.31500000e+01, 5.00000000e-02, 1.75000000e-01, 1.12500000e-01,\n", - " 6.56250000e+00, 4.72500000e+00, 7.12500000e-01, 1.11250000e+00,\n", - " 2.62500000e-01, 1.37500000e-01, 7.50000000e-02, 0.00000000e+00,\n", - " 2.50000000e-01, 8.25000000e-01, 6.25000000e-02, 4.81250000e+00,\n", - " 9.37500000e-01, 3.86250000e+00, 2.05000000e+00, 1.56250000e+00,\n", - " 1.72500000e+00, 7.50000000e-02, 0.00000000e+00, 8.75000000e-02,\n", - " 9.75000000e-01, 4.50000000e-01, 2.25000000e-01, 1.62500000e-01,\n", - " 5.62500000e-01, 5.25000000e-01, 1.41250000e+00, 2.97500000e+00,\n", - " 4.75000000e-01, 4.93750000e+00, 1.56250000e+00, 6.28750000e+00,\n", - " 7.87500000e-01, 2.19750000e+01, 1.37500000e-01, 1.75000000e-01,\n", - " 5.75000000e-01, 4.12500000e-01, 9.25000000e-01, 2.25000000e-01,\n", - " 8.25000000e-01, 6.57500000e+00, 1.14125000e+01, 3.06250000e+00,\n", - " 2.13750000e+00, 1.87500000e+00, 7.50000000e-01, 3.20000000e+00,\n", - " 3.87500000e-01, 3.12500000e-01, 3.05000000e+00, 2.60000000e+00,\n", - " 1.25000000e-01, 0.00000000e+00, 5.75000000e-01, 5.87500000e-01,\n", - " 5.00000000e-02, 1.37500000e-01, 1.05000000e+00, 2.15000000e+00,\n", - " 1.27500000e+00, 4.12500000e-01, 4.25000000e-01, 3.15000000e+00,\n", - " 7.32500000e+00, 6.51250000e+00, 1.42500000e+00, 2.30000000e+00,\n", - " 2.68750000e+00, 3.00000000e+00, 3.37500000e-01, 7.00000000e-01,\n", - " 1.25000000e-01, 1.50000000e-01, 2.25000000e-01, 0.00000000e+00,\n", - " 6.25000000e-02, 1.75000000e-01, 2.53750000e+00, 6.62500000e-01,\n", - " 7.50000000e-02, 0.00000000e+00, 1.87500000e-01, 2.03750000e+00,\n", - " 1.62500000e+00, 5.80000000e+00, 7.60000000e+00, 1.41250000e+00,\n", - " 2.25000000e-01, 1.12500000e-01, 5.87500000e-01, 1.12500000e-01,\n", - " 3.36250000e+00, 2.61250000e+00, 8.00000000e-01, 6.50000000e-01,\n", - " 6.81250000e+00, 1.37500000e+00, 0.00000000e+00, 3.28750000e+00,\n", - " 2.16250000e+00, 1.06750000e+01, 1.72500000e+00, 5.11250000e+00,\n", - " 1.06250000e+00, 1.45000000e+00, 3.96250000e+00, 6.65000000e+00,\n", - " 5.95000000e+00, 1.19125000e+01, 1.77500000e+00, 7.62500000e-01,\n", - " 5.06250000e+00, 6.27500000e+00, 2.13750000e+00, 1.17500000e+00,\n", - " 2.50000000e-01, 1.00000000e+00, 1.86250000e+00, 1.30000000e+00,\n", - " 1.10000000e+00, 3.25000000e+00, 9.25000000e-01, 3.12500000e-01,\n", - " 6.21250000e+00, 5.28750000e+00, 4.63750000e+00, 4.85000000e+00,\n", - " 7.37500000e-01, 8.37500000e-01, 1.62500000e-01, 4.37500000e-01,\n", - " 9.00000000e-01, 1.72500000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.24125000e+01, 1.80500000e+01, 3.91875000e+01, 1.02500000e+00,\n", - " 1.12500000e+00, 6.12500000e-01, 1.37500000e-01, 1.50000000e-01,\n", - " 3.75000000e-01, 3.25000000e-01, 2.01250000e+00, 1.83750000e+00,\n", - " 1.72500000e+00, 5.00000000e-01, 1.29500000e+01, 2.37125000e+01,\n", - " 3.62500000e-01, 3.12500000e-01, 8.37500000e-01, 3.37500000e-01,\n", - " 3.75000000e-01, 8.87500000e-01, 1.67500000e+00, 6.00000000e-01,\n", - " 8.50000000e-01, 8.75000000e-01, 1.12500000e-01, 2.13750000e+00,\n", - " 2.75000000e-01, 6.62500000e-01, 7.87500000e-01, 2.03750000e+00,\n", - " 1.58750000e+00, 1.37500000e-01, 2.36250000e+00, 7.12500000e-01,\n", - " 5.12500000e-01, 5.62500000e-01, 1.32500000e+00, 6.75000000e-01,\n", - " 1.46250000e+00, 7.50000000e-02, 6.87500000e-01, 4.25000000e-01,\n", - " 6.00000000e-01, 2.12500000e-01, 2.44875000e+01, 6.25000000e-01,\n", - " 5.50000000e-01, 2.50000000e+01, 9.00000000e-01, 1.62500000e-01,\n", - " 0.00000000e+00, 1.62500000e-01, 7.50000000e-02, 6.25000000e-01,\n", - " 8.62500000e-01, 1.75000000e-01, 6.62500000e-01, 8.25000000e+00,\n", - " 5.26250000e+00, 6.36250000e+00, 2.22000000e+01, 1.92750000e+01,\n", - " 5.25000000e-01, 3.00000000e-01, 5.05000000e+00, 3.25000000e+00,\n", - " 1.09875000e+01, 7.80000000e+00, 1.12500000e-01, 2.75000000e+00,\n", - " 7.87500000e-01, 1.11625000e+01, 6.25000000e-02, 8.75000000e-02,\n", - " 1.37500000e-01, 6.25000000e-02, 3.93750000e+00, 3.11250000e+00,\n", - " 3.12500000e+00, 9.81250000e+00, 5.12500000e-01, 1.25000000e-01,\n", - " 4.88750000e+00, 1.62500000e-01, 5.12500000e-01, 7.88750000e+00,\n", - " 5.37500000e-01, 5.00000000e-01, 4.75000000e-01, 5.50000000e-01,\n", - " 2.87500000e-01, 6.38750000e+00, 3.62500000e+00, 1.12500000e+00,\n", - " 1.71250000e+00, 6.00000000e-01, 1.12500000e-01, 3.20000000e+00,\n", - " 2.00000000e+00, 4.56250000e+00, 4.50000000e-01, 8.00000000e-01,\n", - " 2.87500000e-01, 4.62500000e-01, 9.37500000e-01, 3.58750000e+00,\n", - " 1.01250000e+00, 3.68750000e+00, 1.41250000e+00, 5.25000000e-01,\n", - " 1.10000000e+00, 1.88750000e+00, 3.15000000e+00, 8.60000000e+00,\n", - " 9.62500000e-01, 4.56250000e+00, 4.25000000e-01, 4.12500000e-01,\n", - " 1.12500000e+00, 2.28750000e+00, 8.75000000e-01, 2.60000000e+00,\n", - " 1.75000000e-01, 5.87500000e-01, 3.25000000e+00, 1.70000000e+00,\n", - " 2.12500000e-01, 3.87500000e-01, 1.36250000e+00, 7.87500000e-01,\n", - " 1.48750000e+00, 1.00000000e+00, 1.37500000e-01, 4.37500000e-01,\n", - " 1.00000000e-01, 1.25000000e-02, 5.07500000e+00, 6.78750000e+00,\n", - " 3.25000000e-01, 2.37500000e-01, 1.50125000e+01, 6.77500000e+00,\n", - " 1.28750000e+00, 5.07500000e+00, 7.87500000e-01, 2.65000000e+00,\n", - " 3.50000000e-01, 3.12500000e-01, 3.53750000e+00, 4.25000000e-01,\n", - " 1.62500000e-01, 2.46250000e+00, 1.38750000e+00, 6.50000000e-01,\n", - " 5.72500000e+00, 2.00000000e-01, 4.62500000e-01, 2.37500000e-01,\n", - " 3.37500000e-01, 1.25000000e-01, 7.81250000e+00, 4.07500000e+00,\n", - " 4.62500000e-01, 2.12500000e-01, 3.32500000e+00, 3.50000000e-01,\n", - " 1.66250000e+00, 1.25000000e-02, 1.53750000e+00, 1.97500000e+00,\n", - " 5.62500000e-01, 1.86250000e+00, 3.12500000e-01, 9.93750000e+00,\n", - " 4.25000000e-01, 4.12500000e-01, 3.87500000e-01, 1.43000000e+01,\n", - " 4.37500000e-01, 1.03750000e+00, 1.12500000e-01, 6.25000000e-02,\n", - " 3.46250000e+00, 1.23750000e+00, 1.00000000e-01, 0.00000000e+00,\n", - " 4.40000000e+00, 2.27500000e+00, 6.55000000e+00, 2.85000000e+00,\n", - " 7.50000000e-02, 5.00000000e-02, 3.75000000e-01, 1.70000000e+00,\n", - " 2.01250000e+00, 3.12500000e-01, 0.00000000e+00, 1.12500000e-01,\n", - " 1.17500000e+00, 2.25000000e-01, 4.00000000e-01, 6.62500000e-01,\n", - " 4.38750000e+00, 2.87500000e+00, 8.75000000e-02, 3.00000000e-01,\n", - " 1.62500000e-01, 1.25000000e-01, 1.25000000e-01, 3.75000000e-01,\n", - " 3.75000000e-01, 4.81250000e+00, 4.58750000e+00, 3.50000000e-01,\n", - " 4.87500000e-01, 1.87500000e-01, 1.37500000e-01, 4.12500000e-01,\n", - " 1.25000000e-01, 1.25000000e-01, 8.50000000e-01, 6.50000000e-01,\n", - " 8.87500000e-01, 1.11250000e+00, 9.48750000e+00, 1.95000000e+00,\n", - " 1.72500000e+00, 1.80000000e+00, 3.36250000e+00, 2.50000000e-01,\n", - " 1.62500000e+00, 4.63750000e+00, 3.25000000e-01, 1.32000000e+01,\n", - " 9.88750000e+00, 6.06250000e+00, 6.75000000e-01, 1.87500000e-01,\n", - " 1.10625000e+01, 2.80000000e+00, 4.66250000e+00, 1.02500000e+00,\n", - " 2.37500000e-01, 3.82500000e+00, 3.07500000e+00, 1.25000000e-01,\n", - " 5.00000000e-02, 3.75000000e-02, 1.12500000e+00, 5.00000000e-02,\n", - " 5.21250000e+00, 1.11750000e+01, 5.00000000e-01, 1.02500000e+00,\n", - " 2.30000000e+00, 6.25000000e-02, 2.87500000e-01, 3.37500000e+00,\n", - " 3.62500000e-01, 6.00000000e-01, 1.28750000e+00, 7.01250000e+00,\n", - " 3.86250000e+00, 8.00000000e-01, 1.26250000e+00, 1.67500000e+00,\n", - " 1.87500000e-01, 8.50000000e-01, 1.07500000e+00, 4.50000000e-01,\n", - " 6.25000000e-02, 6.75000000e-01, 3.25000000e-01, 3.12500000e-01,\n", - " 7.12500000e-01, 8.87500000e-01, 1.31250000e+00, 3.50000000e-01,\n", - " 3.75000000e-02, 4.75000000e-01, 6.03750000e+00, 3.37500000e-01,\n", - " 2.95000000e+00, 3.00000000e-01, 1.07500000e+00, 6.12500000e+00,\n", - " 9.61250000e+00, 2.15000000e+00, 4.10000000e+00, 4.75000000e-01,\n", - " 4.37500000e-01, 3.12500000e-01, 2.28750000e+00, 3.75000000e-01,\n", - " 4.00000000e-01, 2.25000000e-01, 6.25000000e-01, 6.00000000e-01,\n", - " 6.37500000e+00, 1.83750000e+00, 7.25000000e-01, 1.25000000e-02,\n", - " 6.12500000e-01, 2.31250000e+00, 2.66250000e+00, 2.50000000e+00,\n", - " 2.37500000e-01, 9.25000000e-01, 1.75000000e+00, 3.12500000e-01,\n", - " 7.87500000e-01, 4.75000000e-01, 2.12500000e-01, 3.50000000e-01,\n", - " 7.62500000e-01, 5.87500000e-01, 5.12500000e-01, 1.00000000e-01,\n", - " 3.76250000e+00, 4.78750000e+00, 1.87500000e-01, 2.00000000e-01,\n", - " 4.37500000e-01, 1.39750000e+01, 7.56250000e+00, 1.62500000e-01,\n", - " 5.33750000e+00, 2.77500000e+00, 1.25000000e-02, 5.37500000e-01,\n", - " 3.00000000e-01, 2.55000000e+00, 3.75000000e+00, 5.15000000e+00,\n", - " 3.50000000e-01, 1.00125000e+01, 1.71250000e+00, 7.25000000e+00,\n", - " 9.37500000e-01, 1.31250000e+00, 5.58750000e+00, 4.22500000e+00,\n", - " 1.73750000e+00, 1.98750000e+00, 0.00000000e+00, 1.25000000e+00,\n", - " 1.11250000e+00, 1.50000000e-01, 7.50000000e-02, 1.37500000e-01,\n", - " 2.12500000e-01, 4.00000000e-01, 8.25000000e-01, 5.62500000e-01,\n", - " 4.75000000e-01, 2.23750000e+00, 2.43750000e+00, 5.00000000e-02,\n", - " 4.87500000e-01, 6.75000000e-01, 3.00000000e-01, 4.62500000e-01,\n", - " 2.50000000e-01, 8.12500000e-01, 2.08750000e+00, 3.00000000e-01,\n", - " 2.37500000e-01, 1.37000000e+01, 5.37500000e-01, 4.62500000e-01,\n", - " 4.00000000e-01, 2.56250000e+00, 5.87500000e-01, 2.12500000e-01,\n", - " 1.80000000e+00, 4.75000000e-01, 3.31250000e+00, 8.75000000e-01,\n", - " 7.48750000e+00, 5.41250000e+00, 5.12500000e+00, 4.62500000e-01,\n", - " 5.00000000e-02, 5.87500000e-01, 1.37500000e-01, 3.37500000e-01,\n", - " 6.95000000e+00, 3.62500000e-01, 3.75000000e-02, 2.00000000e-01,\n", - " 4.65000000e+00, 1.17500000e+00, 2.75000000e-01, 9.50000000e-01,\n", - " 4.60000000e+00, 8.35000000e+00, 1.53000000e+01, 1.77500000e+00,\n", - " 8.05000000e+00, 1.08125000e+01, 9.37500000e-01, 4.87500000e-01,\n", - " 1.31250000e+00, 1.83500000e+01, 9.80000000e+00, 5.00000000e-02,\n", - " 5.62500000e-01, 8.25000000e-01, 3.50000000e-01, 1.60000000e+00,\n", - " 7.25000000e-01, 1.25000000e+00, 1.38750000e+00, 7.38750000e+00,\n", - " 1.73750000e+00, 1.00000000e-01, 2.10000000e+00, 3.31250000e+00,\n", - " 1.98750000e+00, 1.73750000e+00, 1.12500000e-01, 9.62500000e-01,\n", - " 5.87500000e-01, 2.12500000e-01, 1.12500000e-01, 9.23750000e+00,\n", - " 6.75000000e-01, 2.62500000e-01, 8.75000000e-01, 1.67500000e+00,\n", - " 9.88750000e+00, 5.52500000e+00, 8.62500000e-01, 1.20000000e+00,\n", - " 4.85000000e+00, 6.87500000e-01, 1.17500000e+00, 3.75000000e+00,\n", - " 3.17500000e+00, 4.62500000e-01, 5.76250000e+00, 5.25000000e-01,\n", - " 1.14750000e+01, 6.12500000e-01, 1.83750000e+00, 8.75000000e-02,\n", - " 6.25000000e-02, 1.62500000e-01, 9.50000000e-01, 6.37500000e-01,\n", - " 1.02500000e+00, 5.62500000e-01, 4.37500000e-01, 5.37500000e-01,\n", - " 1.88750000e+00, 6.50000000e-01, 2.62500000e-01, 2.50000000e+00,\n", - " 2.12500000e-01, 8.02500000e+00, 1.93750000e+00, 1.97500000e+00,\n", - " 4.62500000e-01, 7.25000000e-01, 2.75000000e-01, 8.92500000e+00,\n", - " 3.50000000e-01, 1.62500000e-01, 1.86250000e+00, 1.65500000e+01,\n", - " 2.50000000e-01, 4.00000000e-01, 5.00000000e-02, 7.65000000e+00,\n", - " 1.25000000e-01, 1.72500000e+00, 2.50000000e-01, 6.88750000e+00,\n", - " 2.80000000e+00, 1.12500000e-01, 2.50000000e-02, 4.62500000e+00,\n", - " 8.75000000e-02, 7.62500000e-01, 2.55000000e+00, 6.75000000e-01,\n", - " 3.08750000e+00, 1.03750000e+00, 2.20000000e+00, 3.50000000e-01,\n", - " 6.50000000e-01, 1.12500000e-01, 9.51250000e+00, 9.75000000e+00,\n", - " 2.11250000e+00, 5.18750000e+00, 1.06500000e+01, 4.12500000e-01,\n", - " 6.25000000e-02, 2.12500000e-01, 4.37500000e-01, 5.62500000e-01,\n", - " 1.87500000e-01, 7.50000000e-02, 4.12500000e-01, 1.00000000e+00,\n", - " 1.38750000e+00, 4.12500000e-01, 2.25000000e-01, 2.12500000e-01,\n", - " 2.87500000e-01, 3.75000000e-02, 9.25000000e-01, 4.75000000e-01,\n", - " 2.25000000e-01, 1.16250000e+00, 1.00000000e-01, 1.78750000e+00,\n", - " 3.05000000e+00, 1.11250000e+00, 2.90000000e+00, 5.26250000e+00,\n", - " 1.66250000e+00, 8.00000000e+00, 8.75000000e-01, 1.53750000e+00,\n", - " 3.00000000e+00, 1.21250000e+00, 5.75000000e-01, 7.25000000e-01,\n", - " 3.25000000e-01, 4.12500000e-01, 1.25000000e-02, 4.62500000e-01,\n", - " 2.12500000e-01, 1.12500000e-01, 5.12500000e-01, 2.33750000e+00,\n", - " 5.50000000e-01, 4.50000000e-01, 1.87500000e-01, 8.12500000e-01,\n", - " 5.35000000e+00, 2.26250000e+00, 6.12500000e-01, 1.48750000e+00,\n", - " 4.37500000e-01, 1.10000000e+01, 7.75000000e-01, 3.73750000e+00,\n", - " 7.50000000e-01, 9.50000000e-01, 3.87500000e-01, 1.10000000e+00,\n", - " 5.75000000e-01, 4.12500000e-01, 1.40000000e+00, 7.50000000e-02,\n", - " 2.25000000e-01, 5.87500000e-01, 4.37500000e-01, 5.75000000e-01,\n", - " 1.62500000e-01, 8.37500000e-01, 5.00000000e+00, 1.43750000e+00,\n", - " 2.26250000e+00, 1.36250000e+00, 7.87500000e-01, 1.72500000e+00,\n", - " 5.76250000e+00, 4.38750000e+00, 3.25000000e-01, 1.30000000e+00,\n", - " 6.62500000e-01, 8.62500000e-01, 1.95000000e+00, 3.71250000e+00,\n", - " 3.75000000e-02, 6.25000000e-02, 4.41250000e+00, 4.55000000e+00,\n", - " 7.00000000e-01, 8.75000000e-02, 4.87500000e-01, 3.25000000e-01,\n", - " 3.75000000e-02, 8.75000000e-02, 3.75000000e-01, 4.37500000e-01,\n", - " 4.96250000e+00, 2.40000000e+00, 2.62500000e-01, 7.37500000e-01,\n", - " 5.15000000e+00, 3.00000000e-01, 9.35000000e+00, 4.50000000e-01,\n", - " 6.73750000e+00, 6.12500000e-01, 2.66250000e+00, 5.00000000e-02,\n", - " 1.62500000e-01, 4.25000000e-01, 1.75000000e-01, 2.83750000e+00,\n", - " 1.72500000e+00, 1.36250000e+00, 2.00000000e-01, 5.37500000e-01,\n", - " 3.75000000e-02, 2.30000000e+00, 6.37500000e-01, 7.50000000e-02,\n", - " 1.05000000e+00, 3.66250000e+00, 1.30000000e+00, 1.25000000e-02,\n", - " 5.42500000e+00, 3.75000000e-01, 3.82500000e+00, 6.25000000e-02,\n", - " 3.75000000e-02, 4.87500000e-01, 2.27500000e+00, 3.50000000e-01,\n", - " 9.50000000e-01, 2.21250000e+00, 1.12500000e-01, 1.50000000e-01,\n", - " 7.90000000e+00, 5.00000000e-02, 5.00000000e-02, 4.00000000e-01,\n", - " 4.62500000e-01, 4.00000000e-01, 1.37500000e-01, 6.75000000e-01,\n", - " 5.75000000e-01, 8.00000000e-01, 6.00000000e-01, 1.72500000e+00,\n", - " 3.11250000e+00, 2.37500000e-01, 1.25000000e-01, 3.25000000e-01,\n", - " 5.37500000e-01, 5.50000000e-01, 1.80000000e+00, 2.12500000e-01,\n", - " 1.12500000e-01, 6.12500000e-01, 3.18750000e+00, 1.03750000e+00,\n", - " 5.87500000e-01, 2.21500000e+01, 2.50000000e-02, 2.75000000e-01,\n", - " 2.62500000e-01, 7.50000000e-02, 8.75000000e-02, 1.12500000e-01,\n", - " 1.00000000e-01, 7.25000000e-01, 1.75000000e-01, 2.32500000e+00,\n", - " 1.20250000e+01, 6.87500000e-01, 2.37500000e-01, 8.12500000e-01,\n", - " 4.33750000e+00, 3.37500000e-01, 2.12500000e-01, 9.37500000e-01,\n", - " 1.87500000e-01, 1.08750000e+00, 1.85000000e+00, 1.51250000e+00,\n", - " 1.37500000e-01, 7.00000000e-01, 4.87500000e-01, 3.62500000e-01,\n", - " 5.87500000e-01, 3.27500000e+00, 7.00000000e-01, 1.13750000e+00,\n", - " 1.85000000e+00, 2.25000000e+00, 1.75000000e-01, 5.00000000e-01,\n", - " 2.07500000e+00, 1.90000000e+00, 6.77500000e+00, 1.62500000e-01,\n", - " 2.48750000e+00, 3.00000000e-01, 7.37500000e-01, 1.03750000e+00,\n", - " 2.50000000e-01, 1.03750000e+00, 3.75000000e-01, 3.12500000e-01,\n", - " 8.75000000e-01, 9.87500000e-01, 2.25000000e-01, 1.00000000e-01,\n", - " 8.00000000e-01, 1.41250000e+00, 8.87500000e-01, 5.87500000e-01,\n", - " 3.37500000e-01, 3.75000000e-02, 1.42500000e+00, 4.01250000e+00,\n", - " 5.37500000e-01, 2.75000000e-01, 1.25000000e-02, 8.25000000e-01,\n", - " 5.87500000e-01, 1.87500000e-01, 2.25000000e-01, 9.87500000e-01,\n", - " 3.00000000e-01, 6.40000000e+00, 5.87500000e-01, 2.25000000e-01,\n", - " 0.00000000e+00, 1.27500000e+00, 3.00000000e-01, 4.00000000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.56018501e+03, -2.52731782e+03, -9.21629632e+01, -5.84910509e+01,\n", - " 0.00000000e+00, 0.00000000e+00, -2.90762153e+01, 0.00000000e+00,\n", - " 0.00000000e+00, 1.51755576e+01, -2.57297473e+02, -4.87739047e+02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 8.56930000e-01, 4.00327000e+00, 7.81469000e+00, 5.53807000e+00,\n", - " 2.94170000e-01, 5.37180000e-01, 3.58120000e-01, 7.54610000e-01,\n", - " 1.24063000e+00, 1.91850000e-01, 7.54610000e-01, 6.01130000e-01,\n", - " 1.34550800e+01, 5.11600000e-02, 1.79060000e-01, 1.15110000e-01,\n", - " 6.71475000e+00, 4.83462000e+00, 7.29030000e-01, 1.13831000e+00,\n", - " 2.68590000e-01, 1.40690000e-01, 7.67400000e-02, 0.00000000e+00,\n", - " 2.55800000e-01, 8.44140000e-01, 6.39500000e-02, 4.92415000e+00,\n", - " 9.59250000e-01, 3.95211000e+00, 2.09756000e+00, 1.59875000e+00,\n", - " 1.76502000e+00, 7.67400000e-02, 0.00000000e+00, 8.95300000e-02,\n", - " 9.97620000e-01, 4.60440000e-01, 2.30220000e-01, 1.66270000e-01,\n", - " 5.75550000e-01, 5.37180000e-01, 1.44527000e+00, 3.04402000e+00,\n", - " 4.86020000e-01, 5.05205000e+00, 1.59875000e+00, 6.43337000e+00,\n", - " 8.05770000e-01, 2.24848200e+01, 1.40690000e-01, 1.79060000e-01,\n", - " 5.88340000e-01, 4.22070000e-01, 9.46460000e-01, 2.30220000e-01,\n", - " 8.44140000e-01, 6.72754000e+00, 1.16772700e+01, 3.13355000e+00,\n", - " 2.18709000e+00, 1.91850000e+00, 7.67400000e-01, 3.27424000e+00,\n", - " 3.96490000e-01, 3.19750000e-01, 3.12076000e+00, 2.66032000e+00,\n", - " 1.27900000e-01, 0.00000000e+00, 5.88340000e-01, 6.01130000e-01,\n", - " 5.11600000e-02, 1.40690000e-01, 1.07436000e+00, 2.19988000e+00,\n", - " 1.30458000e+00, 4.22070000e-01, 4.34860000e-01, 3.22308000e+00,\n", - " 7.49494000e+00, 6.66359000e+00, 1.45806000e+00, 2.35336000e+00,\n", - " 2.74985000e+00, 3.06960000e+00, 3.45330000e-01, 7.16240000e-01,\n", - " 1.27900000e-01, 1.53480000e-01, 2.30220000e-01, 0.00000000e+00,\n", - " 6.39500000e-02, 1.79060000e-01, 2.59637000e+00, 6.77870000e-01,\n", - " 7.67400000e-02, 0.00000000e+00, 1.91850000e-01, 2.08477000e+00,\n", - " 1.66270000e+00, 5.93456000e+00, 7.77632000e+00, 1.44527000e+00,\n", - " 2.30220000e-01, 1.15110000e-01, 6.01130000e-01, 1.15110000e-01,\n", - " 3.44051000e+00, 2.67311000e+00, 8.18560000e-01, 6.65080000e-01,\n", - " 6.97055000e+00, 1.40690000e+00, 0.00000000e+00, 3.36377000e+00,\n", - " 2.21267000e+00, 1.09226600e+01, 1.76502000e+00, 5.23111000e+00,\n", - " 1.08715000e+00, 1.48364000e+00, 4.05443000e+00, 6.80428000e+00,\n", - " 6.08804000e+00, 1.21888700e+01, 1.81618000e+00, 7.80190000e-01,\n", - " 5.17995000e+00, 6.42058000e+00, 2.18709000e+00, 1.20226000e+00,\n", - " 2.55800000e-01, 1.02320000e+00, 1.90571000e+00, 1.33016000e+00,\n", - " 1.12552000e+00, 3.32540000e+00, 9.46460000e-01, 3.19750000e-01,\n", - " 6.35663000e+00, 5.41017000e+00, 4.74509000e+00, 4.96252000e+00,\n", - " 7.54610000e-01, 8.56930000e-01, 1.66270000e-01, 4.47650000e-01,\n", - " 9.20880000e-01, 1.76502000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.27004700e+01, 1.84687600e+01, 4.00966500e+01, 1.04878000e+00,\n", - " 1.15110000e+00, 6.26710000e-01, 1.40690000e-01, 1.53480000e-01,\n", - " 3.83700000e-01, 3.32540000e-01, 2.05919000e+00, 1.88013000e+00,\n", - " 1.76502000e+00, 5.11600000e-01, 1.32504400e+01, 2.42626300e+01,\n", - " 3.70910000e-01, 3.19750000e-01, 8.56930000e-01, 3.45330000e-01,\n", - " 3.83700000e-01, 9.08090000e-01, 1.71386000e+00, 6.13920000e-01,\n", - " 8.69720000e-01, 8.95300000e-01, 1.15110000e-01, 2.18709000e+00,\n", - " 2.81380000e-01, 6.77870000e-01, 8.05770000e-01, 2.08477000e+00,\n", - " 1.62433000e+00, 1.40690000e-01, 2.41731000e+00, 7.29030000e-01,\n", - " 5.24390000e-01, 5.75550000e-01, 1.35574000e+00, 6.90660000e-01,\n", - " 1.49643000e+00, 7.67400000e-02, 7.03450000e-01, 4.34860000e-01,\n", - " 6.13920000e-01, 2.17430000e-01, 2.50556100e+01, 6.39500000e-01,\n", - " 5.62760000e-01, 2.55800000e+01, 9.20880000e-01, 1.66270000e-01,\n", - " 0.00000000e+00, 1.66270000e-01, 7.67400000e-02, 6.39500000e-01,\n", - " 8.82510000e-01, 1.79060000e-01, 6.77870000e-01, 8.44140000e+00,\n", - " 5.38459000e+00, 6.51011000e+00, 2.27150400e+01, 1.97221800e+01,\n", - " 5.37180000e-01, 3.06960000e-01, 5.16716000e+00, 3.32540000e+00,\n", - " 1.12424100e+01, 7.98096000e+00, 1.15110000e-01, 2.81380000e+00,\n", - " 8.05770000e-01, 1.14214700e+01, 6.39500000e-02, 8.95300000e-02,\n", - " 1.40690000e-01, 6.39500000e-02, 4.02885000e+00, 3.18471000e+00,\n", - " 3.19750000e+00, 1.00401500e+01, 5.24390000e-01, 1.27900000e-01,\n", - " 5.00089000e+00, 1.66270000e-01, 5.24390000e-01, 8.07049000e+00,\n", - " 5.49970000e-01, 5.11600000e-01, 4.86020000e-01, 5.62760000e-01,\n", - " 2.94170000e-01, 6.53569000e+00, 3.70910000e+00, 1.15110000e+00,\n", - " 1.75223000e+00, 6.13920000e-01, 1.15110000e-01, 3.27424000e+00,\n", - " 2.04640000e+00, 4.66835000e+00, 4.60440000e-01, 8.18560000e-01,\n", - " 2.94170000e-01, 4.73230000e-01, 9.59250000e-01, 3.67073000e+00,\n", - " 1.03599000e+00, 3.77305000e+00, 1.44527000e+00, 5.37180000e-01,\n", - " 1.12552000e+00, 1.93129000e+00, 3.22308000e+00, 8.79952000e+00,\n", - " 9.84830000e-01, 4.66835000e+00, 4.34860000e-01, 4.22070000e-01,\n", - " 1.15110000e+00, 2.34057000e+00, 8.95300000e-01, 2.66032000e+00,\n", - " 1.79060000e-01, 6.01130000e-01, 3.32540000e+00, 1.73944000e+00,\n", - " 2.17430000e-01, 3.96490000e-01, 1.39411000e+00, 8.05770000e-01,\n", - " 1.52201000e+00, 1.02320000e+00, 1.40690000e-01, 4.47650000e-01,\n", - " 1.02320000e-01, 1.27900000e-02, 5.19274000e+00, 6.94497000e+00,\n", - " 3.32540000e-01, 2.43010000e-01, 1.53607900e+01, 6.93218000e+00,\n", - " 1.31737000e+00, 5.19274000e+00, 8.05770000e-01, 2.71148000e+00,\n", - " 3.58120000e-01, 3.19750000e-01, 3.61957000e+00, 4.34860000e-01,\n", - " 1.66270000e-01, 2.51963000e+00, 1.41969000e+00, 6.65080000e-01,\n", - " 5.85782000e+00, 2.04640000e-01, 4.73230000e-01, 2.43010000e-01,\n", - " 3.45330000e-01, 1.27900000e-01, 7.99375000e+00, 4.16954000e+00,\n", - " 4.73230000e-01, 2.17430000e-01, 3.40214000e+00, 3.58120000e-01,\n", - " 1.70107000e+00, 1.27900000e-02, 1.57317000e+00, 2.02082000e+00,\n", - " 5.75550000e-01, 1.90571000e+00, 3.19750000e-01, 1.01680500e+01,\n", - " 4.34860000e-01, 4.22070000e-01, 3.96490000e-01, 1.46317600e+01,\n", - " 4.47650000e-01, 1.06157000e+00, 1.15110000e-01, 6.39500000e-02,\n", - " 3.54283000e+00, 1.26621000e+00, 1.02320000e-01, 0.00000000e+00,\n", - " 4.50208000e+00, 2.32778000e+00, 6.70196000e+00, 2.91612000e+00,\n", - " 7.67400000e-02, 5.11600000e-02, 3.83700000e-01, 1.73944000e+00,\n", - " 2.05919000e+00, 3.19750000e-01, 0.00000000e+00, 1.15110000e-01,\n", - " 1.20226000e+00, 2.30220000e-01, 4.09280000e-01, 6.77870000e-01,\n", - " 4.48929000e+00, 2.94170000e+00, 8.95300000e-02, 3.06960000e-01,\n", - " 1.66270000e-01, 1.27900000e-01, 1.27900000e-01, 3.83700000e-01,\n", - " 3.83700000e-01, 4.92415000e+00, 4.69393000e+00, 3.58120000e-01,\n", - " 4.98810000e-01, 1.91850000e-01, 1.40690000e-01, 4.22070000e-01,\n", - " 1.27900000e-01, 1.27900000e-01, 8.69720000e-01, 6.65080000e-01,\n", - " 9.08090000e-01, 1.13831000e+00, 9.70761000e+00, 1.99524000e+00,\n", - " 1.76502000e+00, 1.84176000e+00, 3.44051000e+00, 2.55800000e-01,\n", - " 1.66270000e+00, 4.74509000e+00, 3.32540000e-01, 1.35062400e+01,\n", - " 1.01168900e+01, 6.20315000e+00, 6.90660000e-01, 1.91850000e-01,\n", - " 1.13191500e+01, 2.86496000e+00, 4.77067000e+00, 1.04878000e+00,\n", - " 2.43010000e-01, 3.91374000e+00, 3.14634000e+00, 1.27900000e-01,\n", - " 5.11600000e-02, 3.83700000e-02, 1.15110000e+00, 5.11600000e-02,\n", - " 5.33343000e+00, 1.14342600e+01, 5.11600000e-01, 1.04878000e+00,\n", - " 2.35336000e+00, 6.39500000e-02, 2.94170000e-01, 3.45330000e+00,\n", - " 3.70910000e-01, 6.13920000e-01, 1.31737000e+00, 7.17519000e+00,\n", - " 3.95211000e+00, 8.18560000e-01, 1.29179000e+00, 1.71386000e+00,\n", - " 1.91850000e-01, 8.69720000e-01, 1.09994000e+00, 4.60440000e-01,\n", - " 6.39500000e-02, 6.90660000e-01, 3.32540000e-01, 3.19750000e-01,\n", - " 7.29030000e-01, 9.08090000e-01, 1.34295000e+00, 3.58120000e-01,\n", - " 3.83700000e-02, 4.86020000e-01, 6.17757000e+00, 3.45330000e-01,\n", - " 3.01844000e+00, 3.06960000e-01, 1.09994000e+00, 6.26710000e+00,\n", - " 9.83551000e+00, 2.19988000e+00, 4.19512000e+00, 4.86020000e-01,\n", - " 4.47650000e-01, 3.19750000e-01, 2.34057000e+00, 3.83700000e-01,\n", - " 4.09280000e-01, 2.30220000e-01, 6.39500000e-01, 6.13920000e-01,\n", - " 6.52290000e+00, 1.88013000e+00, 7.41820000e-01, 1.27900000e-02,\n", - " 6.26710000e-01, 2.36615000e+00, 2.72427000e+00, 2.55800000e+00,\n", - " 2.43010000e-01, 9.46460000e-01, 1.79060000e+00, 3.19750000e-01,\n", - " 8.05770000e-01, 4.86020000e-01, 2.17430000e-01, 3.58120000e-01,\n", - " 7.80190000e-01, 6.01130000e-01, 5.24390000e-01, 1.02320000e-01,\n", - " 3.84979000e+00, 4.89857000e+00, 1.91850000e-01, 2.04640000e-01,\n", - " 4.47650000e-01, 1.42992200e+01, 7.73795000e+00, 1.66270000e-01,\n", - " 5.46133000e+00, 2.83938000e+00, 1.27900000e-02, 5.49970000e-01,\n", - " 3.06960000e-01, 2.60916000e+00, 3.83700000e+00, 5.26948000e+00,\n", - " 3.58120000e-01, 1.02447900e+01, 1.75223000e+00, 7.41820000e+00,\n", - " 9.59250000e-01, 1.34295000e+00, 5.71713000e+00, 4.32302000e+00,\n", - " 1.77781000e+00, 2.03361000e+00, 0.00000000e+00, 1.27900000e+00,\n", - " 1.13831000e+00, 1.53480000e-01, 7.67400000e-02, 1.40690000e-01,\n", - " 2.17430000e-01, 4.09280000e-01, 8.44140000e-01, 5.75550000e-01,\n", - " 4.86020000e-01, 2.28941000e+00, 2.49405000e+00, 5.11600000e-02,\n", - " 4.98810000e-01, 6.90660000e-01, 3.06960000e-01, 4.73230000e-01,\n", - " 2.55800000e-01, 8.31350000e-01, 2.13593000e+00, 3.06960000e-01,\n", - " 2.43010000e-01, 1.40178400e+01, 5.49970000e-01, 4.73230000e-01,\n", - " 4.09280000e-01, 2.62195000e+00, 6.01130000e-01, 2.17430000e-01,\n", - " 1.84176000e+00, 4.86020000e-01, 3.38935000e+00, 8.95300000e-01,\n", - " 7.66121000e+00, 5.53807000e+00, 5.24390000e+00, 4.73230000e-01,\n", - " 5.11600000e-02, 6.01130000e-01, 1.40690000e-01, 3.45330000e-01,\n", - " 7.11124000e+00, 3.70910000e-01, 3.83700000e-02, 2.04640000e-01,\n", - " 4.75788000e+00, 1.20226000e+00, 2.81380000e-01, 9.72040000e-01,\n", - " 4.70672000e+00, 8.54372000e+00, 1.56549600e+01, 1.81618000e+00,\n", - " 8.23676000e+00, 1.10633500e+01, 9.59250000e-01, 4.98810000e-01,\n", - " 1.34295000e+00, 1.87757200e+01, 1.00273600e+01, 5.11600000e-02,\n", - " 5.75550000e-01, 8.44140000e-01, 3.58120000e-01, 1.63712000e+00,\n", - " 7.41820000e-01, 1.27900000e+00, 1.41969000e+00, 7.55889000e+00,\n", - " 1.77781000e+00, 1.02320000e-01, 2.14872000e+00, 3.38935000e+00,\n", - " 2.03361000e+00, 1.77781000e+00, 1.15110000e-01, 9.84830000e-01,\n", - " 6.01130000e-01, 2.17430000e-01, 1.15110000e-01, 9.45181000e+00,\n", - " 6.90660000e-01, 2.68590000e-01, 8.95300000e-01, 1.71386000e+00,\n", - " 1.01168900e+01, 5.65318000e+00, 8.82510000e-01, 1.22784000e+00,\n", - " 4.96252000e+00, 7.03450000e-01, 1.20226000e+00, 3.83700000e+00,\n", - " 3.24866000e+00, 4.73230000e-01, 5.89619000e+00, 5.37180000e-01,\n", - " 1.17412200e+01, 6.26710000e-01, 1.88013000e+00, 8.95300000e-02,\n", - " 6.39500000e-02, 1.66270000e-01, 9.72040000e-01, 6.52290000e-01,\n", - " 1.04878000e+00, 5.75550000e-01, 4.47650000e-01, 5.49970000e-01,\n", - " 1.93129000e+00, 6.65080000e-01, 2.68590000e-01, 2.55800000e+00,\n", - " 2.17430000e-01, 8.21118000e+00, 1.98245000e+00, 2.02082000e+00,\n", - " 4.73230000e-01, 7.41820000e-01, 2.81380000e-01, 9.13206000e+00,\n", - " 3.58120000e-01, 1.66270000e-01, 1.90571000e+00, 1.69339600e+01,\n", - " 2.55800000e-01, 4.09280000e-01, 5.11600000e-02, 7.82748000e+00,\n", - " 1.27900000e-01, 1.76502000e+00, 2.55800000e-01, 7.04729000e+00,\n", - " 2.86496000e+00, 1.15110000e-01, 2.55800000e-02, 4.73230000e+00,\n", - " 8.95300000e-02, 7.80190000e-01, 2.60916000e+00, 6.90660000e-01,\n", - " 3.15913000e+00, 1.06157000e+00, 2.25104000e+00, 3.58120000e-01,\n", - " 6.65080000e-01, 1.15110000e-01, 9.73319000e+00, 9.97620000e+00,\n", - " 2.16151000e+00, 5.30785000e+00, 1.08970800e+01, 4.22070000e-01,\n", - " 6.39500000e-02, 2.17430000e-01, 4.47650000e-01, 5.75550000e-01,\n", - " 1.91850000e-01, 7.67400000e-02, 4.22070000e-01, 1.02320000e+00,\n", - " 1.41969000e+00, 4.22070000e-01, 2.30220000e-01, 2.17430000e-01,\n", - " 2.94170000e-01, 3.83700000e-02, 9.46460000e-01, 4.86020000e-01,\n", - " 2.30220000e-01, 1.18947000e+00, 1.02320000e-01, 1.82897000e+00,\n", - " 3.12076000e+00, 1.13831000e+00, 2.96728000e+00, 5.38459000e+00,\n", - " 1.70107000e+00, 8.18560000e+00, 8.95300000e-01, 1.57317000e+00,\n", - " 3.06960000e+00, 1.24063000e+00, 5.88340000e-01, 7.41820000e-01,\n", - " 3.32540000e-01, 4.22070000e-01, 1.27900000e-02, 4.73230000e-01,\n", - " 2.17430000e-01, 1.15110000e-01, 5.24390000e-01, 2.39173000e+00,\n", - " 5.62760000e-01, 4.60440000e-01, 1.91850000e-01, 8.31350000e-01,\n", - " 5.47412000e+00, 2.31499000e+00, 6.26710000e-01, 1.52201000e+00,\n", - " 4.47650000e-01, 1.12552000e+01, 7.92980000e-01, 3.82421000e+00,\n", - " 7.67400000e-01, 9.72040000e-01, 3.96490000e-01, 1.12552000e+00,\n", - " 5.88340000e-01, 4.22070000e-01, 1.43248000e+00, 7.67400000e-02,\n", - " 2.30220000e-01, 6.01130000e-01, 4.47650000e-01, 5.88340000e-01,\n", - " 1.66270000e-01, 8.56930000e-01, 5.11600000e+00, 1.47085000e+00,\n", - " 2.31499000e+00, 1.39411000e+00, 8.05770000e-01, 1.76502000e+00,\n", - " 5.89619000e+00, 4.48929000e+00, 3.32540000e-01, 1.33016000e+00,\n", - " 6.77870000e-01, 8.82510000e-01, 1.99524000e+00, 3.79863000e+00,\n", - " 3.83700000e-02, 6.39500000e-02, 4.51487000e+00, 4.65556000e+00,\n", - " 7.16240000e-01, 8.95300000e-02, 4.98810000e-01, 3.32540000e-01,\n", - " 3.83700000e-02, 8.95300000e-02, 3.83700000e-01, 4.47650000e-01,\n", - " 5.07763000e+00, 2.45568000e+00, 2.68590000e-01, 7.54610000e-01,\n", - " 5.26948000e+00, 3.06960000e-01, 9.56692000e+00, 4.60440000e-01,\n", - " 6.89381000e+00, 6.26710000e-01, 2.72427000e+00, 5.11600000e-02,\n", - " 1.66270000e-01, 4.34860000e-01, 1.79060000e-01, 2.90333000e+00,\n", - " 1.76502000e+00, 1.39411000e+00, 2.04640000e-01, 5.49970000e-01,\n", - " 3.83700000e-02, 2.35336000e+00, 6.52290000e-01, 7.67400000e-02,\n", - " 1.07436000e+00, 3.74747000e+00, 1.33016000e+00, 1.27900000e-02,\n", - " 5.55086000e+00, 3.83700000e-01, 3.91374000e+00, 6.39500000e-02,\n", - " 3.83700000e-02, 4.98810000e-01, 2.32778000e+00, 3.58120000e-01,\n", - " 9.72040000e-01, 2.26383000e+00, 1.15110000e-01, 1.53480000e-01,\n", - " 8.08328000e+00, 5.11600000e-02, 5.11600000e-02, 4.09280000e-01,\n", - " 4.73230000e-01, 4.09280000e-01, 1.40690000e-01, 6.90660000e-01,\n", - " 5.88340000e-01, 8.18560000e-01, 6.13920000e-01, 1.76502000e+00,\n", - " 3.18471000e+00, 2.43010000e-01, 1.27900000e-01, 3.32540000e-01,\n", - " 5.49970000e-01, 5.62760000e-01, 1.84176000e+00, 2.17430000e-01,\n", - " 1.15110000e-01, 6.26710000e-01, 3.26145000e+00, 1.06157000e+00,\n", - " 6.01130000e-01, 2.26638800e+01, 2.55800000e-02, 2.81380000e-01,\n", - " 2.68590000e-01, 7.67400000e-02, 8.95300000e-02, 1.15110000e-01,\n", - " 1.02320000e-01, 7.41820000e-01, 1.79060000e-01, 2.37894000e+00,\n", - " 1.23039800e+01, 7.03450000e-01, 2.43010000e-01, 8.31350000e-01,\n", - " 4.43813000e+00, 3.45330000e-01, 2.17430000e-01, 9.59250000e-01,\n", - " 1.91850000e-01, 1.11273000e+00, 1.89292000e+00, 1.54759000e+00,\n", - " 1.40690000e-01, 7.16240000e-01, 4.98810000e-01, 3.70910000e-01,\n", - " 6.01130000e-01, 3.35098000e+00, 7.16240000e-01, 1.16389000e+00,\n", - " 1.89292000e+00, 2.30220000e+00, 1.79060000e-01, 5.11600000e-01,\n", - " 2.12314000e+00, 1.94408000e+00, 6.93218000e+00, 1.66270000e-01,\n", - " 2.54521000e+00, 3.06960000e-01, 7.54610000e-01, 1.06157000e+00,\n", - " 2.55800000e-01, 1.06157000e+00, 3.83700000e-01, 3.19750000e-01,\n", - " 8.95300000e-01, 1.01041000e+00, 2.30220000e-01, 1.02320000e-01,\n", - " 8.18560000e-01, 1.44527000e+00, 9.08090000e-01, 6.01130000e-01,\n", - " 3.45330000e-01, 3.83700000e-02, 1.45806000e+00, 4.10559000e+00,\n", - " 5.49970000e-01, 2.81380000e-01, 1.27900000e-02, 8.44140000e-01,\n", - " 6.01130000e-01, 1.91850000e-01, 2.30220000e-01, 1.01041000e+00,\n", - " 3.06960000e-01, 6.54848000e+00, 6.01130000e-01, 2.30220000e-01,\n", - " 0.00000000e+00, 1.30458000e+00, 3.06960000e-01, 4.09280000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.55326834e+03, -2.52731782e+03, -9.43011374e+01, -6.22567200e+01,\n", - " 0.00000000e+00, 0.00000000e+00, -3.61286193e+01, 0.00000000e+00,\n", - " 0.00000000e+00, 1.01737440e+01, -2.71842404e+02, -4.91859458e+02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 9.17900000e-01, 4.28810000e+00, 8.37070000e+00, 5.93210000e+00,\n", - " 3.15100000e-01, 5.75400000e-01, 3.83600000e-01, 8.08300000e-01,\n", - " 1.32890000e+00, 2.05500000e-01, 8.08300000e-01, 6.43900000e-01,\n", - " 1.44124000e+01, 5.48000000e-02, 1.91800000e-01, 1.23300000e-01,\n", - " 7.19250000e+00, 5.17860000e+00, 7.80900000e-01, 1.21930000e+00,\n", - " 2.87700000e-01, 1.50700000e-01, 8.22000000e-02, 0.00000000e+00,\n", - " 2.74000000e-01, 9.04200000e-01, 6.85000000e-02, 5.27450000e+00,\n", - " 1.02750000e+00, 4.23330000e+00, 2.24680000e+00, 1.71250000e+00,\n", - " 1.89060000e+00, 8.22000000e-02, 0.00000000e+00, 9.59000000e-02,\n", - " 1.06860000e+00, 4.93200000e-01, 2.46600000e-01, 1.78100000e-01,\n", - " 6.16500000e-01, 5.75400000e-01, 1.54810000e+00, 3.26060000e+00,\n", - " 5.20600000e-01, 5.41150000e+00, 1.71250000e+00, 6.89110000e+00,\n", - " 8.63100000e-01, 2.40846000e+01, 1.50700000e-01, 1.91800000e-01,\n", - " 6.30200000e-01, 4.52100000e-01, 1.01380000e+00, 2.46600000e-01,\n", - " 9.04200000e-01, 7.20620000e+00, 1.25081000e+01, 3.35650000e+00,\n", - " 2.34270000e+00, 2.05500000e+00, 8.22000000e-01, 3.50720000e+00,\n", - " 4.24700000e-01, 3.42500000e-01, 3.34280000e+00, 2.84960000e+00,\n", - " 1.37000000e-01, 0.00000000e+00, 6.30200000e-01, 6.43900000e-01,\n", - " 5.48000000e-02, 1.50700000e-01, 1.15080000e+00, 2.35640000e+00,\n", - " 1.39740000e+00, 4.52100000e-01, 4.65800000e-01, 3.45240000e+00,\n", - " 8.02820000e+00, 7.13770000e+00, 1.56180000e+00, 2.52080000e+00,\n", - " 2.94550000e+00, 3.28800000e+00, 3.69900000e-01, 7.67200000e-01,\n", - " 1.37000000e-01, 1.64400000e-01, 2.46600000e-01, 0.00000000e+00,\n", - " 6.85000000e-02, 1.91800000e-01, 2.78110000e+00, 7.26100000e-01,\n", - " 8.22000000e-02, 0.00000000e+00, 2.05500000e-01, 2.23310000e+00,\n", - " 1.78100000e+00, 6.35680000e+00, 8.32960000e+00, 1.54810000e+00,\n", - " 2.46600000e-01, 1.23300000e-01, 6.43900000e-01, 1.23300000e-01,\n", - " 3.68530000e+00, 2.86330000e+00, 8.76800000e-01, 7.12400000e-01,\n", - " 7.46650000e+00, 1.50700000e+00, 0.00000000e+00, 3.60310000e+00,\n", - " 2.37010000e+00, 1.16998000e+01, 1.89060000e+00, 5.60330000e+00,\n", - " 1.16450000e+00, 1.58920000e+00, 4.34290000e+00, 7.28840000e+00,\n", - " 6.52120000e+00, 1.30561000e+01, 1.94540000e+00, 8.35700000e-01,\n", - " 5.54850000e+00, 6.87740000e+00, 2.34270000e+00, 1.28780000e+00,\n", - " 2.74000000e-01, 1.09600000e+00, 2.04130000e+00, 1.42480000e+00,\n", - " 1.20560000e+00, 3.56200000e+00, 1.01380000e+00, 3.42500000e-01,\n", - " 6.80890000e+00, 5.79510000e+00, 5.08270000e+00, 5.31560000e+00,\n", - " 8.08300000e-01, 9.17900000e-01, 1.78100000e-01, 4.79500000e-01,\n", - " 9.86400000e-01, 1.89060000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.36041000e+01, 1.97828000e+01, 4.29495000e+01, 1.12340000e+00,\n", - " 1.23300000e+00, 6.71300000e-01, 1.50700000e-01, 1.64400000e-01,\n", - " 4.11000000e-01, 3.56200000e-01, 2.20570000e+00, 2.01390000e+00,\n", - " 1.89060000e+00, 5.48000000e-01, 1.41932000e+01, 2.59889000e+01,\n", - " 3.97300000e-01, 3.42500000e-01, 9.17900000e-01, 3.69900000e-01,\n", - " 4.11000000e-01, 9.72700000e-01, 1.83580000e+00, 6.57600000e-01,\n", - " 9.31600000e-01, 9.59000000e-01, 1.23300000e-01, 2.34270000e+00,\n", - " 3.01400000e-01, 7.26100000e-01, 8.63100000e-01, 2.23310000e+00,\n", - " 1.73990000e+00, 1.50700000e-01, 2.58930000e+00, 7.80900000e-01,\n", - " 5.61700000e-01, 6.16500000e-01, 1.45220000e+00, 7.39800000e-01,\n", - " 1.60290000e+00, 8.22000000e-02, 7.53500000e-01, 4.65800000e-01,\n", - " 6.57600000e-01, 2.32900000e-01, 2.68383000e+01, 6.85000000e-01,\n", - " 6.02800000e-01, 2.74000000e+01, 9.86400000e-01, 1.78100000e-01,\n", - " 0.00000000e+00, 1.78100000e-01, 8.22000000e-02, 6.85000000e-01,\n", - " 9.45300000e-01, 1.91800000e-01, 7.26100000e-01, 9.04200000e+00,\n", - " 5.76770000e+00, 6.97330000e+00, 2.43312000e+01, 2.11254000e+01,\n", - " 5.75400000e-01, 3.28800000e-01, 5.53480000e+00, 3.56200000e+00,\n", - " 1.20423000e+01, 8.54880000e+00, 1.23300000e-01, 3.01400000e+00,\n", - " 8.63100000e-01, 1.22341000e+01, 6.85000000e-02, 9.59000000e-02,\n", - " 1.50700000e-01, 6.85000000e-02, 4.31550000e+00, 3.41130000e+00,\n", - " 3.42500000e+00, 1.07545000e+01, 5.61700000e-01, 1.37000000e-01,\n", - " 5.35670000e+00, 1.78100000e-01, 5.61700000e-01, 8.64470000e+00,\n", - " 5.89100000e-01, 5.48000000e-01, 5.20600000e-01, 6.02800000e-01,\n", - " 3.15100000e-01, 7.00070000e+00, 3.97300000e+00, 1.23300000e+00,\n", - " 1.87690000e+00, 6.57600000e-01, 1.23300000e-01, 3.50720000e+00,\n", - " 2.19200000e+00, 5.00050000e+00, 4.93200000e-01, 8.76800000e-01,\n", - " 3.15100000e-01, 5.06900000e-01, 1.02750000e+00, 3.93190000e+00,\n", - " 1.10970000e+00, 4.04150000e+00, 1.54810000e+00, 5.75400000e-01,\n", - " 1.20560000e+00, 2.06870000e+00, 3.45240000e+00, 9.42560000e+00,\n", - " 1.05490000e+00, 5.00050000e+00, 4.65800000e-01, 4.52100000e-01,\n", - " 1.23300000e+00, 2.50710000e+00, 9.59000000e-01, 2.84960000e+00,\n", - " 1.91800000e-01, 6.43900000e-01, 3.56200000e+00, 1.86320000e+00,\n", - " 2.32900000e-01, 4.24700000e-01, 1.49330000e+00, 8.63100000e-01,\n", - " 1.63030000e+00, 1.09600000e+00, 1.50700000e-01, 4.79500000e-01,\n", - " 1.09600000e-01, 1.37000000e-02, 5.56220000e+00, 7.43910000e+00,\n", - " 3.56200000e-01, 2.60300000e-01, 1.64537000e+01, 7.42540000e+00,\n", - " 1.41110000e+00, 5.56220000e+00, 8.63100000e-01, 2.90440000e+00,\n", - " 3.83600000e-01, 3.42500000e-01, 3.87710000e+00, 4.65800000e-01,\n", - " 1.78100000e-01, 2.69890000e+00, 1.52070000e+00, 7.12400000e-01,\n", - " 6.27460000e+00, 2.19200000e-01, 5.06900000e-01, 2.60300000e-01,\n", - " 3.69900000e-01, 1.37000000e-01, 8.56250000e+00, 4.46620000e+00,\n", - " 5.06900000e-01, 2.32900000e-01, 3.64420000e+00, 3.83600000e-01,\n", - " 1.82210000e+00, 1.37000000e-02, 1.68510000e+00, 2.16460000e+00,\n", - " 6.16500000e-01, 2.04130000e+00, 3.42500000e-01, 1.08915000e+01,\n", - " 4.65800000e-01, 4.52100000e-01, 4.24700000e-01, 1.56728000e+01,\n", - " 4.79500000e-01, 1.13710000e+00, 1.23300000e-01, 6.85000000e-02,\n", - " 3.79490000e+00, 1.35630000e+00, 1.09600000e-01, 0.00000000e+00,\n", - " 4.82240000e+00, 2.49340000e+00, 7.17880000e+00, 3.12360000e+00,\n", - " 8.22000000e-02, 5.48000000e-02, 4.11000000e-01, 1.86320000e+00,\n", - " 2.20570000e+00, 3.42500000e-01, 0.00000000e+00, 1.23300000e-01,\n", - " 1.28780000e+00, 2.46600000e-01, 4.38400000e-01, 7.26100000e-01,\n", - " 4.80870000e+00, 3.15100000e+00, 9.59000000e-02, 3.28800000e-01,\n", - " 1.78100000e-01, 1.37000000e-01, 1.37000000e-01, 4.11000000e-01,\n", - " 4.11000000e-01, 5.27450000e+00, 5.02790000e+00, 3.83600000e-01,\n", - " 5.34300000e-01, 2.05500000e-01, 1.50700000e-01, 4.52100000e-01,\n", - " 1.37000000e-01, 1.37000000e-01, 9.31600000e-01, 7.12400000e-01,\n", - " 9.72700000e-01, 1.21930000e+00, 1.03983000e+01, 2.13720000e+00,\n", - " 1.89060000e+00, 1.97280000e+00, 3.68530000e+00, 2.74000000e-01,\n", - " 1.78100000e+00, 5.08270000e+00, 3.56200000e-01, 1.44672000e+01,\n", - " 1.08367000e+01, 6.64450000e+00, 7.39800000e-01, 2.05500000e-01,\n", - " 1.21245000e+01, 3.06880000e+00, 5.11010000e+00, 1.12340000e+00,\n", - " 2.60300000e-01, 4.19220000e+00, 3.37020000e+00, 1.37000000e-01,\n", - " 5.48000000e-02, 4.11000000e-02, 1.23300000e+00, 5.48000000e-02,\n", - " 5.71290000e+00, 1.22478000e+01, 5.48000000e-01, 1.12340000e+00,\n", - " 2.52080000e+00, 6.85000000e-02, 3.15100000e-01, 3.69900000e+00,\n", - " 3.97300000e-01, 6.57600000e-01, 1.41110000e+00, 7.68570000e+00,\n", - " 4.23330000e+00, 8.76800000e-01, 1.38370000e+00, 1.83580000e+00,\n", - " 2.05500000e-01, 9.31600000e-01, 1.17820000e+00, 4.93200000e-01,\n", - " 6.85000000e-02, 7.39800000e-01, 3.56200000e-01, 3.42500000e-01,\n", - " 7.80900000e-01, 9.72700000e-01, 1.43850000e+00, 3.83600000e-01,\n", - " 4.11000000e-02, 5.20600000e-01, 6.61710000e+00, 3.69900000e-01,\n", - " 3.23320000e+00, 3.28800000e-01, 1.17820000e+00, 6.71300000e+00,\n", - " 1.05353000e+01, 2.35640000e+00, 4.49360000e+00, 5.20600000e-01,\n", - " 4.79500000e-01, 3.42500000e-01, 2.50710000e+00, 4.11000000e-01,\n", - " 4.38400000e-01, 2.46600000e-01, 6.85000000e-01, 6.57600000e-01,\n", - " 6.98700000e+00, 2.01390000e+00, 7.94600000e-01, 1.37000000e-02,\n", - " 6.71300000e-01, 2.53450000e+00, 2.91810000e+00, 2.74000000e+00,\n", - " 2.60300000e-01, 1.01380000e+00, 1.91800000e+00, 3.42500000e-01,\n", - " 8.63100000e-01, 5.20600000e-01, 2.32900000e-01, 3.83600000e-01,\n", - " 8.35700000e-01, 6.43900000e-01, 5.61700000e-01, 1.09600000e-01,\n", - " 4.12370000e+00, 5.24710000e+00, 2.05500000e-01, 2.19200000e-01,\n", - " 4.79500000e-01, 1.53166000e+01, 8.28850000e+00, 1.78100000e-01,\n", - " 5.84990000e+00, 3.04140000e+00, 1.37000000e-02, 5.89100000e-01,\n", - " 3.28800000e-01, 2.79480000e+00, 4.11000000e+00, 5.64440000e+00,\n", - " 3.83600000e-01, 1.09737000e+01, 1.87690000e+00, 7.94600000e+00,\n", - " 1.02750000e+00, 1.43850000e+00, 6.12390000e+00, 4.63060000e+00,\n", - " 1.90430000e+00, 2.17830000e+00, 0.00000000e+00, 1.37000000e+00,\n", - " 1.21930000e+00, 1.64400000e-01, 8.22000000e-02, 1.50700000e-01,\n", - " 2.32900000e-01, 4.38400000e-01, 9.04200000e-01, 6.16500000e-01,\n", - " 5.20600000e-01, 2.45230000e+00, 2.67150000e+00, 5.48000000e-02,\n", - " 5.34300000e-01, 7.39800000e-01, 3.28800000e-01, 5.06900000e-01,\n", - " 2.74000000e-01, 8.90500000e-01, 2.28790000e+00, 3.28800000e-01,\n", - " 2.60300000e-01, 1.50152000e+01, 5.89100000e-01, 5.06900000e-01,\n", - " 4.38400000e-01, 2.80850000e+00, 6.43900000e-01, 2.32900000e-01,\n", - " 1.97280000e+00, 5.20600000e-01, 3.63050000e+00, 9.59000000e-01,\n", - " 8.20630000e+00, 5.93210000e+00, 5.61700000e+00, 5.06900000e-01,\n", - " 5.48000000e-02, 6.43900000e-01, 1.50700000e-01, 3.69900000e-01,\n", - " 7.61720000e+00, 3.97300000e-01, 4.11000000e-02, 2.19200000e-01,\n", - " 5.09640000e+00, 1.28780000e+00, 3.01400000e-01, 1.04120000e+00,\n", - " 5.04160000e+00, 9.15160000e+00, 1.67688000e+01, 1.94540000e+00,\n", - " 8.82280000e+00, 1.18505000e+01, 1.02750000e+00, 5.34300000e-01,\n", - " 1.43850000e+00, 2.01116000e+01, 1.07408000e+01, 5.48000000e-02,\n", - " 6.16500000e-01, 9.04200000e-01, 3.83600000e-01, 1.75360000e+00,\n", - " 7.94600000e-01, 1.37000000e+00, 1.52070000e+00, 8.09670000e+00,\n", - " 1.90430000e+00, 1.09600000e-01, 2.30160000e+00, 3.63050000e+00,\n", - " 2.17830000e+00, 1.90430000e+00, 1.23300000e-01, 1.05490000e+00,\n", - " 6.43900000e-01, 2.32900000e-01, 1.23300000e-01, 1.01243000e+01,\n", - " 7.39800000e-01, 2.87700000e-01, 9.59000000e-01, 1.83580000e+00,\n", - " 1.08367000e+01, 6.05540000e+00, 9.45300000e-01, 1.31520000e+00,\n", - " 5.31560000e+00, 7.53500000e-01, 1.28780000e+00, 4.11000000e+00,\n", - " 3.47980000e+00, 5.06900000e-01, 6.31570000e+00, 5.75400000e-01,\n", - " 1.25766000e+01, 6.71300000e-01, 2.01390000e+00, 9.59000000e-02,\n", - " 6.85000000e-02, 1.78100000e-01, 1.04120000e+00, 6.98700000e-01,\n", - " 1.12340000e+00, 6.16500000e-01, 4.79500000e-01, 5.89100000e-01,\n", - " 2.06870000e+00, 7.12400000e-01, 2.87700000e-01, 2.74000000e+00,\n", - " 2.32900000e-01, 8.79540000e+00, 2.12350000e+00, 2.16460000e+00,\n", - " 5.06900000e-01, 7.94600000e-01, 3.01400000e-01, 9.78180000e+00,\n", - " 3.83600000e-01, 1.78100000e-01, 2.04130000e+00, 1.81388000e+01,\n", - " 2.74000000e-01, 4.38400000e-01, 5.48000000e-02, 8.38440000e+00,\n", - " 1.37000000e-01, 1.89060000e+00, 2.74000000e-01, 7.54870000e+00,\n", - " 3.06880000e+00, 1.23300000e-01, 2.74000000e-02, 5.06900000e+00,\n", - " 9.59000000e-02, 8.35700000e-01, 2.79480000e+00, 7.39800000e-01,\n", - " 3.38390000e+00, 1.13710000e+00, 2.41120000e+00, 3.83600000e-01,\n", - " 7.12400000e-01, 1.23300000e-01, 1.04257000e+01, 1.06860000e+01,\n", - " 2.31530000e+00, 5.68550000e+00, 1.16724000e+01, 4.52100000e-01,\n", - " 6.85000000e-02, 2.32900000e-01, 4.79500000e-01, 6.16500000e-01,\n", - " 2.05500000e-01, 8.22000000e-02, 4.52100000e-01, 1.09600000e+00,\n", - " 1.52070000e+00, 4.52100000e-01, 2.46600000e-01, 2.32900000e-01,\n", - " 3.15100000e-01, 4.11000000e-02, 1.01380000e+00, 5.20600000e-01,\n", - " 2.46600000e-01, 1.27410000e+00, 1.09600000e-01, 1.95910000e+00,\n", - " 3.34280000e+00, 1.21930000e+00, 3.17840000e+00, 5.76770000e+00,\n", - " 1.82210000e+00, 8.76800000e+00, 9.59000000e-01, 1.68510000e+00,\n", - " 3.28800000e+00, 1.32890000e+00, 6.30200000e-01, 7.94600000e-01,\n", - " 3.56200000e-01, 4.52100000e-01, 1.37000000e-02, 5.06900000e-01,\n", - " 2.32900000e-01, 1.23300000e-01, 5.61700000e-01, 2.56190000e+00,\n", - " 6.02800000e-01, 4.93200000e-01, 2.05500000e-01, 8.90500000e-01,\n", - " 5.86360000e+00, 2.47970000e+00, 6.71300000e-01, 1.63030000e+00,\n", - " 4.79500000e-01, 1.20560000e+01, 8.49400000e-01, 4.09630000e+00,\n", - " 8.22000000e-01, 1.04120000e+00, 4.24700000e-01, 1.20560000e+00,\n", - " 6.30200000e-01, 4.52100000e-01, 1.53440000e+00, 8.22000000e-02,\n", - " 2.46600000e-01, 6.43900000e-01, 4.79500000e-01, 6.30200000e-01,\n", - " 1.78100000e-01, 9.17900000e-01, 5.48000000e+00, 1.57550000e+00,\n", - " 2.47970000e+00, 1.49330000e+00, 8.63100000e-01, 1.89060000e+00,\n", - " 6.31570000e+00, 4.80870000e+00, 3.56200000e-01, 1.42480000e+00,\n", - " 7.26100000e-01, 9.45300000e-01, 2.13720000e+00, 4.06890000e+00,\n", - " 4.11000000e-02, 6.85000000e-02, 4.83610000e+00, 4.98680000e+00,\n", - " 7.67200000e-01, 9.59000000e-02, 5.34300000e-01, 3.56200000e-01,\n", - " 4.11000000e-02, 9.59000000e-02, 4.11000000e-01, 4.79500000e-01,\n", - " 5.43890000e+00, 2.63040000e+00, 2.87700000e-01, 8.08300000e-01,\n", - " 5.64440000e+00, 3.28800000e-01, 1.02476000e+01, 4.93200000e-01,\n", - " 7.38430000e+00, 6.71300000e-01, 2.91810000e+00, 5.48000000e-02,\n", - " 1.78100000e-01, 4.65800000e-01, 1.91800000e-01, 3.10990000e+00,\n", - " 1.89060000e+00, 1.49330000e+00, 2.19200000e-01, 5.89100000e-01,\n", - " 4.11000000e-02, 2.52080000e+00, 6.98700000e-01, 8.22000000e-02,\n", - " 1.15080000e+00, 4.01410000e+00, 1.42480000e+00, 1.37000000e-02,\n", - " 5.94580000e+00, 4.11000000e-01, 4.19220000e+00, 6.85000000e-02,\n", - " 4.11000000e-02, 5.34300000e-01, 2.49340000e+00, 3.83600000e-01,\n", - " 1.04120000e+00, 2.42490000e+00, 1.23300000e-01, 1.64400000e-01,\n", - " 8.65840000e+00, 5.48000000e-02, 5.48000000e-02, 4.38400000e-01,\n", - " 5.06900000e-01, 4.38400000e-01, 1.50700000e-01, 7.39800000e-01,\n", - " 6.30200000e-01, 8.76800000e-01, 6.57600000e-01, 1.89060000e+00,\n", - " 3.41130000e+00, 2.60300000e-01, 1.37000000e-01, 3.56200000e-01,\n", - " 5.89100000e-01, 6.02800000e-01, 1.97280000e+00, 2.32900000e-01,\n", - " 1.23300000e-01, 6.71300000e-01, 3.49350000e+00, 1.13710000e+00,\n", - " 6.43900000e-01, 2.42764000e+01, 2.74000000e-02, 3.01400000e-01,\n", - " 2.87700000e-01, 8.22000000e-02, 9.59000000e-02, 1.23300000e-01,\n", - " 1.09600000e-01, 7.94600000e-01, 1.91800000e-01, 2.54820000e+00,\n", - " 1.31794000e+01, 7.53500000e-01, 2.60300000e-01, 8.90500000e-01,\n", - " 4.75390000e+00, 3.69900000e-01, 2.32900000e-01, 1.02750000e+00,\n", - " 2.05500000e-01, 1.19190000e+00, 2.02760000e+00, 1.65770000e+00,\n", - " 1.50700000e-01, 7.67200000e-01, 5.34300000e-01, 3.97300000e-01,\n", - " 6.43900000e-01, 3.58940000e+00, 7.67200000e-01, 1.24670000e+00,\n", - " 2.02760000e+00, 2.46600000e+00, 1.91800000e-01, 5.48000000e-01,\n", - " 2.27420000e+00, 2.08240000e+00, 7.42540000e+00, 1.78100000e-01,\n", - " 2.72630000e+00, 3.28800000e-01, 8.08300000e-01, 1.13710000e+00,\n", - " 2.74000000e-01, 1.13710000e+00, 4.11000000e-01, 3.42500000e-01,\n", - " 9.59000000e-01, 1.08230000e+00, 2.46600000e-01, 1.09600000e-01,\n", - " 8.76800000e-01, 1.54810000e+00, 9.72700000e-01, 6.43900000e-01,\n", - " 3.69900000e-01, 4.11000000e-02, 1.56180000e+00, 4.39770000e+00,\n", - " 5.89100000e-01, 3.01400000e-01, 1.37000000e-02, 9.04200000e-01,\n", - " 6.43900000e-01, 2.05500000e-01, 2.46600000e-01, 1.08230000e+00,\n", - " 3.28800000e-01, 7.01440000e+00, 6.43900000e-01, 2.46600000e-01,\n", - " 0.00000000e+00, 1.39740000e+00, 3.28800000e-01, 4.38400000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.54457188e+03, -2.52731782e+03, -1.01010579e+02, -7.33613902e+01,\n", - " 0.00000000e+00, 0.00000000e+00, -5.76430508e+01, 0.00000000e+00,\n", - " 0.00000000e+00, -3.81534851e+00, -2.99035062e+02, -5.39278601e+02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 1.01773000e+00, 4.75447000e+00, 9.28109000e+00, 6.57727000e+00,\n", - " 3.49370000e-01, 6.37980000e-01, 4.25320000e-01, 8.96210000e-01,\n", - " 1.47343000e+00, 2.27850000e-01, 8.96210000e-01, 7.13930000e-01,\n", - " 1.59798800e+01, 6.07600000e-02, 2.12660000e-01, 1.36710000e-01,\n", - " 7.97475000e+00, 5.74182000e+00, 8.65830000e-01, 1.35191000e+00,\n", - " 3.18990000e-01, 1.67090000e-01, 9.11400000e-02, 0.00000000e+00,\n", - " 3.03800000e-01, 1.00254000e+00, 7.59500000e-02, 5.84815000e+00,\n", - " 1.13925000e+00, 4.69371000e+00, 2.49116000e+00, 1.89875000e+00,\n", - " 2.09622000e+00, 9.11400000e-02, 0.00000000e+00, 1.06330000e-01,\n", - " 1.18482000e+00, 5.46840000e-01, 2.73420000e-01, 1.97470000e-01,\n", - " 6.83550000e-01, 6.37980000e-01, 1.71647000e+00, 3.61522000e+00,\n", - " 5.77220000e-01, 6.00005000e+00, 1.89875000e+00, 7.64057000e+00,\n", - " 9.56970000e-01, 2.67040200e+01, 1.67090000e-01, 2.12660000e-01,\n", - " 6.98740000e-01, 5.01270000e-01, 1.12406000e+00, 2.73420000e-01,\n", - " 1.00254000e+00, 7.98994000e+00, 1.38684700e+01, 3.72155000e+00,\n", - " 2.59749000e+00, 2.27850000e+00, 9.11400000e-01, 3.88864000e+00,\n", - " 4.70890000e-01, 3.79750000e-01, 3.70636000e+00, 3.15952000e+00,\n", - " 1.51900000e-01, 0.00000000e+00, 6.98740000e-01, 7.13930000e-01,\n", - " 6.07600000e-02, 1.67090000e-01, 1.27596000e+00, 2.61268000e+00,\n", - " 1.54938000e+00, 5.01270000e-01, 5.16460000e-01, 3.82788000e+00,\n", - " 8.90134000e+00, 7.91399000e+00, 1.73166000e+00, 2.79496000e+00,\n", - " 3.26585000e+00, 3.64560000e+00, 4.10130000e-01, 8.50640000e-01,\n", - " 1.51900000e-01, 1.82280000e-01, 2.73420000e-01, 0.00000000e+00,\n", - " 7.59500000e-02, 2.12660000e-01, 3.08357000e+00, 8.05070000e-01,\n", - " 9.11400000e-02, 0.00000000e+00, 2.27850000e-01, 2.47597000e+00,\n", - " 1.97470000e+00, 7.04816000e+00, 9.23552000e+00, 1.71647000e+00,\n", - " 2.73420000e-01, 1.36710000e-01, 7.13930000e-01, 1.36710000e-01,\n", - " 4.08611000e+00, 3.17471000e+00, 9.72160000e-01, 7.89880000e-01,\n", - " 8.27855000e+00, 1.67090000e+00, 0.00000000e+00, 3.99497000e+00,\n", - " 2.62787000e+00, 1.29722600e+01, 2.09622000e+00, 6.21271000e+00,\n", - " 1.29115000e+00, 1.76204000e+00, 4.81523000e+00, 8.08108000e+00,\n", - " 7.23044000e+00, 1.44760700e+01, 2.15698000e+00, 9.26590000e-01,\n", - " 6.15195000e+00, 7.62538000e+00, 2.59749000e+00, 1.42786000e+00,\n", - " 3.03800000e-01, 1.21520000e+00, 2.26331000e+00, 1.57976000e+00,\n", - " 1.33672000e+00, 3.94940000e+00, 1.12406000e+00, 3.79750000e-01,\n", - " 7.54943000e+00, 6.42537000e+00, 5.63549000e+00, 5.89372000e+00,\n", - " 8.96210000e-01, 1.01773000e+00, 1.97470000e-01, 5.31650000e-01,\n", - " 1.09368000e+00, 2.09622000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.50836700e+01, 2.19343600e+01, 4.76206500e+01, 1.24558000e+00,\n", - " 1.36710000e+00, 7.44310000e-01, 1.67090000e-01, 1.82280000e-01,\n", - " 4.55700000e-01, 3.94940000e-01, 2.44559000e+00, 2.23293000e+00,\n", - " 2.09622000e+00, 6.07600000e-01, 1.57368400e+01, 2.88154300e+01,\n", - " 4.40510000e-01, 3.79750000e-01, 1.01773000e+00, 4.10130000e-01,\n", - " 4.55700000e-01, 1.07849000e+00, 2.03546000e+00, 7.29120000e-01,\n", - " 1.03292000e+00, 1.06330000e+00, 1.36710000e-01, 2.59749000e+00,\n", - " 3.34180000e-01, 8.05070000e-01, 9.56970000e-01, 2.47597000e+00,\n", - " 1.92913000e+00, 1.67090000e-01, 2.87091000e+00, 8.65830000e-01,\n", - " 6.22790000e-01, 6.83550000e-01, 1.61014000e+00, 8.20260000e-01,\n", - " 1.77723000e+00, 9.11400000e-02, 8.35450000e-01, 5.16460000e-01,\n", - " 7.29120000e-01, 2.58230000e-01, 2.97572100e+01, 7.59500000e-01,\n", - " 6.68360000e-01, 3.03800000e+01, 1.09368000e+00, 1.97470000e-01,\n", - " 0.00000000e+00, 1.97470000e-01, 9.11400000e-02, 7.59500000e-01,\n", - " 1.04811000e+00, 2.12660000e-01, 8.05070000e-01, 1.00254000e+01,\n", - " 6.39499000e+00, 7.73171000e+00, 2.69774400e+01, 2.34229800e+01,\n", - " 6.37980000e-01, 3.64560000e-01, 6.13676000e+00, 3.94940000e+00,\n", - " 1.33520100e+01, 9.47856000e+00, 1.36710000e-01, 3.34180000e+00,\n", - " 9.56970000e-01, 1.35646700e+01, 7.59500000e-02, 1.06330000e-01,\n", - " 1.67090000e-01, 7.59500000e-02, 4.78485000e+00, 3.78231000e+00,\n", - " 3.79750000e+00, 1.19241500e+01, 6.22790000e-01, 1.51900000e-01,\n", - " 5.93929000e+00, 1.97470000e-01, 6.22790000e-01, 9.58489000e+00,\n", - " 6.53170000e-01, 6.07600000e-01, 5.77220000e-01, 6.68360000e-01,\n", - " 3.49370000e-01, 7.76209000e+00, 4.40510000e+00, 1.36710000e+00,\n", - " 2.08103000e+00, 7.29120000e-01, 1.36710000e-01, 3.88864000e+00,\n", - " 2.43040000e+00, 5.54435000e+00, 5.46840000e-01, 9.72160000e-01,\n", - " 3.49370000e-01, 5.62030000e-01, 1.13925000e+00, 4.35953000e+00,\n", - " 1.23039000e+00, 4.48105000e+00, 1.71647000e+00, 6.37980000e-01,\n", - " 1.33672000e+00, 2.29369000e+00, 3.82788000e+00, 1.04507200e+01,\n", - " 1.16963000e+00, 5.54435000e+00, 5.16460000e-01, 5.01270000e-01,\n", - " 1.36710000e+00, 2.77977000e+00, 1.06330000e+00, 3.15952000e+00,\n", - " 2.12660000e-01, 7.13930000e-01, 3.94940000e+00, 2.06584000e+00,\n", - " 2.58230000e-01, 4.70890000e-01, 1.65571000e+00, 9.56970000e-01,\n", - " 1.80761000e+00, 1.21520000e+00, 1.67090000e-01, 5.31650000e-01,\n", - " 1.21520000e-01, 1.51900000e-02, 6.16714000e+00, 8.24817000e+00,\n", - " 3.94940000e-01, 2.88610000e-01, 1.82431900e+01, 8.23298000e+00,\n", - " 1.56457000e+00, 6.16714000e+00, 9.56970000e-01, 3.22028000e+00,\n", - " 4.25320000e-01, 3.79750000e-01, 4.29877000e+00, 5.16460000e-01,\n", - " 1.97470000e-01, 2.99243000e+00, 1.68609000e+00, 7.89880000e-01,\n", - " 6.95702000e+00, 2.43040000e-01, 5.62030000e-01, 2.88610000e-01,\n", - " 4.10130000e-01, 1.51900000e-01, 9.49375000e+00, 4.95194000e+00,\n", - " 5.62030000e-01, 2.58230000e-01, 4.04054000e+00, 4.25320000e-01,\n", - " 2.02027000e+00, 1.51900000e-02, 1.86837000e+00, 2.40002000e+00,\n", - " 6.83550000e-01, 2.26331000e+00, 3.79750000e-01, 1.20760500e+01,\n", - " 5.16460000e-01, 5.01270000e-01, 4.70890000e-01, 1.73773600e+01,\n", - " 5.31650000e-01, 1.26077000e+00, 1.36710000e-01, 7.59500000e-02,\n", - " 4.20763000e+00, 1.50381000e+00, 1.21520000e-01, 0.00000000e+00,\n", - " 5.34688000e+00, 2.76458000e+00, 7.95956000e+00, 3.46332000e+00,\n", - " 9.11400000e-02, 6.07600000e-02, 4.55700000e-01, 2.06584000e+00,\n", - " 2.44559000e+00, 3.79750000e-01, 0.00000000e+00, 1.36710000e-01,\n", - " 1.42786000e+00, 2.73420000e-01, 4.86080000e-01, 8.05070000e-01,\n", - " 5.33169000e+00, 3.49370000e+00, 1.06330000e-01, 3.64560000e-01,\n", - " 1.97470000e-01, 1.51900000e-01, 1.51900000e-01, 4.55700000e-01,\n", - " 4.55700000e-01, 5.84815000e+00, 5.57473000e+00, 4.25320000e-01,\n", - " 5.92410000e-01, 2.27850000e-01, 1.67090000e-01, 5.01270000e-01,\n", - " 1.51900000e-01, 1.51900000e-01, 1.03292000e+00, 7.89880000e-01,\n", - " 1.07849000e+00, 1.35191000e+00, 1.15292100e+01, 2.36964000e+00,\n", - " 2.09622000e+00, 2.18736000e+00, 4.08611000e+00, 3.03800000e-01,\n", - " 1.97470000e+00, 5.63549000e+00, 3.94940000e-01, 1.60406400e+01,\n", - " 1.20152900e+01, 7.36715000e+00, 8.20260000e-01, 2.27850000e-01,\n", - " 1.34431500e+01, 3.40256000e+00, 5.66587000e+00, 1.24558000e+00,\n", - " 2.88610000e-01, 4.64814000e+00, 3.73674000e+00, 1.51900000e-01,\n", - " 6.07600000e-02, 4.55700000e-02, 1.36710000e+00, 6.07600000e-02,\n", - " 6.33423000e+00, 1.35798600e+01, 6.07600000e-01, 1.24558000e+00,\n", - " 2.79496000e+00, 7.59500000e-02, 3.49370000e-01, 4.10130000e+00,\n", - " 4.40510000e-01, 7.29120000e-01, 1.56457000e+00, 8.52159000e+00,\n", - " 4.69371000e+00, 9.72160000e-01, 1.53419000e+00, 2.03546000e+00,\n", - " 2.27850000e-01, 1.03292000e+00, 1.30634000e+00, 5.46840000e-01,\n", - " 7.59500000e-02, 8.20260000e-01, 3.94940000e-01, 3.79750000e-01,\n", - " 8.65830000e-01, 1.07849000e+00, 1.59495000e+00, 4.25320000e-01,\n", - " 4.55700000e-02, 5.77220000e-01, 7.33677000e+00, 4.10130000e-01,\n", - " 3.58484000e+00, 3.64560000e-01, 1.30634000e+00, 7.44310000e+00,\n", - " 1.16811100e+01, 2.61268000e+00, 4.98232000e+00, 5.77220000e-01,\n", - " 5.31650000e-01, 3.79750000e-01, 2.77977000e+00, 4.55700000e-01,\n", - " 4.86080000e-01, 2.73420000e-01, 7.59500000e-01, 7.29120000e-01,\n", - " 7.74690000e+00, 2.23293000e+00, 8.81020000e-01, 1.51900000e-02,\n", - " 7.44310000e-01, 2.81015000e+00, 3.23547000e+00, 3.03800000e+00,\n", - " 2.88610000e-01, 1.12406000e+00, 2.12660000e+00, 3.79750000e-01,\n", - " 9.56970000e-01, 5.77220000e-01, 2.58230000e-01, 4.25320000e-01,\n", - " 9.26590000e-01, 7.13930000e-01, 6.22790000e-01, 1.21520000e-01,\n", - " 4.57219000e+00, 5.81777000e+00, 2.27850000e-01, 2.43040000e-01,\n", - " 5.31650000e-01, 1.69824200e+01, 9.18995000e+00, 1.97470000e-01,\n", - " 6.48613000e+00, 3.37218000e+00, 1.51900000e-02, 6.53170000e-01,\n", - " 3.64560000e-01, 3.09876000e+00, 4.55700000e+00, 6.25828000e+00,\n", - " 4.25320000e-01, 1.21671900e+01, 2.08103000e+00, 8.81020000e+00,\n", - " 1.13925000e+00, 1.59495000e+00, 6.78993000e+00, 5.13422000e+00,\n", - " 2.11141000e+00, 2.41521000e+00, 0.00000000e+00, 1.51900000e+00,\n", - " 1.35191000e+00, 1.82280000e-01, 9.11400000e-02, 1.67090000e-01,\n", - " 2.58230000e-01, 4.86080000e-01, 1.00254000e+00, 6.83550000e-01,\n", - " 5.77220000e-01, 2.71901000e+00, 2.96205000e+00, 6.07600000e-02,\n", - " 5.92410000e-01, 8.20260000e-01, 3.64560000e-01, 5.62030000e-01,\n", - " 3.03800000e-01, 9.87350000e-01, 2.53673000e+00, 3.64560000e-01,\n", - " 2.88610000e-01, 1.66482400e+01, 6.53170000e-01, 5.62030000e-01,\n", - " 4.86080000e-01, 3.11395000e+00, 7.13930000e-01, 2.58230000e-01,\n", - " 2.18736000e+00, 5.77220000e-01, 4.02535000e+00, 1.06330000e+00,\n", - " 9.09881000e+00, 6.57727000e+00, 6.22790000e+00, 5.62030000e-01,\n", - " 6.07600000e-02, 7.13930000e-01, 1.67090000e-01, 4.10130000e-01,\n", - " 8.44564000e+00, 4.40510000e-01, 4.55700000e-02, 2.43040000e-01,\n", - " 5.65068000e+00, 1.42786000e+00, 3.34180000e-01, 1.15444000e+00,\n", - " 5.58992000e+00, 1.01469200e+01, 1.85925600e+01, 2.15698000e+00,\n", - " 9.78236000e+00, 1.31393500e+01, 1.13925000e+00, 5.92410000e-01,\n", - " 1.59495000e+00, 2.22989200e+01, 1.19089600e+01, 6.07600000e-02,\n", - " 6.83550000e-01, 1.00254000e+00, 4.25320000e-01, 1.94432000e+00,\n", - " 8.81020000e-01, 1.51900000e+00, 1.68609000e+00, 8.97729000e+00,\n", - " 2.11141000e+00, 1.21520000e-01, 2.55192000e+00, 4.02535000e+00,\n", - " 2.41521000e+00, 2.11141000e+00, 1.36710000e-01, 1.16963000e+00,\n", - " 7.13930000e-01, 2.58230000e-01, 1.36710000e-01, 1.12254100e+01,\n", - " 8.20260000e-01, 3.18990000e-01, 1.06330000e+00, 2.03546000e+00,\n", - " 1.20152900e+01, 6.71398000e+00, 1.04811000e+00, 1.45824000e+00,\n", - " 5.89372000e+00, 8.35450000e-01, 1.42786000e+00, 4.55700000e+00,\n", - " 3.85826000e+00, 5.62030000e-01, 7.00259000e+00, 6.37980000e-01,\n", - " 1.39444200e+01, 7.44310000e-01, 2.23293000e+00, 1.06330000e-01,\n", - " 7.59500000e-02, 1.97470000e-01, 1.15444000e+00, 7.74690000e-01,\n", - " 1.24558000e+00, 6.83550000e-01, 5.31650000e-01, 6.53170000e-01,\n", - " 2.29369000e+00, 7.89880000e-01, 3.18990000e-01, 3.03800000e+00,\n", - " 2.58230000e-01, 9.75198000e+00, 2.35445000e+00, 2.40002000e+00,\n", - " 5.62030000e-01, 8.81020000e-01, 3.34180000e-01, 1.08456600e+01,\n", - " 4.25320000e-01, 1.97470000e-01, 2.26331000e+00, 2.01115600e+01,\n", - " 3.03800000e-01, 4.86080000e-01, 6.07600000e-02, 9.29628000e+00,\n", - " 1.51900000e-01, 2.09622000e+00, 3.03800000e-01, 8.36969000e+00,\n", - " 3.40256000e+00, 1.36710000e-01, 3.03800000e-02, 5.62030000e+00,\n", - " 1.06330000e-01, 9.26590000e-01, 3.09876000e+00, 8.20260000e-01,\n", - " 3.75193000e+00, 1.26077000e+00, 2.67344000e+00, 4.25320000e-01,\n", - " 7.89880000e-01, 1.36710000e-01, 1.15595900e+01, 1.18482000e+01,\n", - " 2.56711000e+00, 6.30385000e+00, 1.29418800e+01, 5.01270000e-01,\n", - " 7.59500000e-02, 2.58230000e-01, 5.31650000e-01, 6.83550000e-01,\n", - " 2.27850000e-01, 9.11400000e-02, 5.01270000e-01, 1.21520000e+00,\n", - " 1.68609000e+00, 5.01270000e-01, 2.73420000e-01, 2.58230000e-01,\n", - " 3.49370000e-01, 4.55700000e-02, 1.12406000e+00, 5.77220000e-01,\n", - " 2.73420000e-01, 1.41267000e+00, 1.21520000e-01, 2.17217000e+00,\n", - " 3.70636000e+00, 1.35191000e+00, 3.52408000e+00, 6.39499000e+00,\n", - " 2.02027000e+00, 9.72160000e+00, 1.06330000e+00, 1.86837000e+00,\n", - " 3.64560000e+00, 1.47343000e+00, 6.98740000e-01, 8.81020000e-01,\n", - " 3.94940000e-01, 5.01270000e-01, 1.51900000e-02, 5.62030000e-01,\n", - " 2.58230000e-01, 1.36710000e-01, 6.22790000e-01, 2.84053000e+00,\n", - " 6.68360000e-01, 5.46840000e-01, 2.27850000e-01, 9.87350000e-01,\n", - " 6.50132000e+00, 2.74939000e+00, 7.44310000e-01, 1.80761000e+00,\n", - " 5.31650000e-01, 1.33672000e+01, 9.41780000e-01, 4.54181000e+00,\n", - " 9.11400000e-01, 1.15444000e+00, 4.70890000e-01, 1.33672000e+00,\n", - " 6.98740000e-01, 5.01270000e-01, 1.70128000e+00, 9.11400000e-02,\n", - " 2.73420000e-01, 7.13930000e-01, 5.31650000e-01, 6.98740000e-01,\n", - " 1.97470000e-01, 1.01773000e+00, 6.07600000e+00, 1.74685000e+00,\n", - " 2.74939000e+00, 1.65571000e+00, 9.56970000e-01, 2.09622000e+00,\n", - " 7.00259000e+00, 5.33169000e+00, 3.94940000e-01, 1.57976000e+00,\n", - " 8.05070000e-01, 1.04811000e+00, 2.36964000e+00, 4.51143000e+00,\n", - " 4.55700000e-02, 7.59500000e-02, 5.36207000e+00, 5.52916000e+00,\n", - " 8.50640000e-01, 1.06330000e-01, 5.92410000e-01, 3.94940000e-01,\n", - " 4.55700000e-02, 1.06330000e-01, 4.55700000e-01, 5.31650000e-01,\n", - " 6.03043000e+00, 2.91648000e+00, 3.18990000e-01, 8.96210000e-01,\n", - " 6.25828000e+00, 3.64560000e-01, 1.13621200e+01, 5.46840000e-01,\n", - " 8.18741000e+00, 7.44310000e-01, 3.23547000e+00, 6.07600000e-02,\n", - " 1.97470000e-01, 5.16460000e-01, 2.12660000e-01, 3.44813000e+00,\n", - " 2.09622000e+00, 1.65571000e+00, 2.43040000e-01, 6.53170000e-01,\n", - " 4.55700000e-02, 2.79496000e+00, 7.74690000e-01, 9.11400000e-02,\n", - " 1.27596000e+00, 4.45067000e+00, 1.57976000e+00, 1.51900000e-02,\n", - " 6.59246000e+00, 4.55700000e-01, 4.64814000e+00, 7.59500000e-02,\n", - " 4.55700000e-02, 5.92410000e-01, 2.76458000e+00, 4.25320000e-01,\n", - " 1.15444000e+00, 2.68863000e+00, 1.36710000e-01, 1.82280000e-01,\n", - " 9.60008000e+00, 6.07600000e-02, 6.07600000e-02, 4.86080000e-01,\n", - " 5.62030000e-01, 4.86080000e-01, 1.67090000e-01, 8.20260000e-01,\n", - " 6.98740000e-01, 9.72160000e-01, 7.29120000e-01, 2.09622000e+00,\n", - " 3.78231000e+00, 2.88610000e-01, 1.51900000e-01, 3.94940000e-01,\n", - " 6.53170000e-01, 6.68360000e-01, 2.18736000e+00, 2.58230000e-01,\n", - " 1.36710000e-01, 7.44310000e-01, 3.87345000e+00, 1.26077000e+00,\n", - " 7.13930000e-01, 2.69166800e+01, 3.03800000e-02, 3.34180000e-01,\n", - " 3.18990000e-01, 9.11400000e-02, 1.06330000e-01, 1.36710000e-01,\n", - " 1.21520000e-01, 8.81020000e-01, 2.12660000e-01, 2.82534000e+00,\n", - " 1.46127800e+01, 8.35450000e-01, 2.88610000e-01, 9.87350000e-01,\n", - " 5.27093000e+00, 4.10130000e-01, 2.58230000e-01, 1.13925000e+00,\n", - " 2.27850000e-01, 1.32153000e+00, 2.24812000e+00, 1.83799000e+00,\n", - " 1.67090000e-01, 8.50640000e-01, 5.92410000e-01, 4.40510000e-01,\n", - " 7.13930000e-01, 3.97978000e+00, 8.50640000e-01, 1.38229000e+00,\n", - " 2.24812000e+00, 2.73420000e+00, 2.12660000e-01, 6.07600000e-01,\n", - " 2.52154000e+00, 2.30888000e+00, 8.23298000e+00, 1.97470000e-01,\n", - " 3.02281000e+00, 3.64560000e-01, 8.96210000e-01, 1.26077000e+00,\n", - " 3.03800000e-01, 1.26077000e+00, 4.55700000e-01, 3.79750000e-01,\n", - " 1.06330000e+00, 1.20001000e+00, 2.73420000e-01, 1.21520000e-01,\n", - " 9.72160000e-01, 1.71647000e+00, 1.07849000e+00, 7.13930000e-01,\n", - " 4.10130000e-01, 4.55700000e-02, 1.73166000e+00, 4.87599000e+00,\n", - " 6.53170000e-01, 3.34180000e-01, 1.51900000e-02, 1.00254000e+00,\n", - " 7.13930000e-01, 2.27850000e-01, 2.73420000e-01, 1.20001000e+00,\n", - " 3.64560000e-01, 7.77728000e+00, 7.13930000e-01, 2.73420000e-01,\n", - " 0.00000000e+00, 1.54938000e+00, 3.64560000e-01, 4.86080000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.53327341e+03, -2.52731782e+03, -1.11996377e+02, -9.15004653e+01,\n", - " 0.00000000e+00, 0.00000000e+00, -9.31118289e+01, 0.00000000e+00,\n", - " 0.00000000e+00, -2.61837668e+01, -3.37971742e+02, -6.25786371e+02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 1.01773000e+00, 4.75447000e+00, 9.28109000e+00, 6.57727000e+00,\n", - " 3.49370000e-01, 6.37980000e-01, 4.25320000e-01, 8.96210000e-01,\n", - " 1.47343000e+00, 2.27850000e-01, 8.96210000e-01, 7.13930000e-01,\n", - " 1.59798800e+01, 6.07600000e-02, 2.12660000e-01, 1.36710000e-01,\n", - " 7.97475000e+00, 5.74182000e+00, 8.65830000e-01, 1.35191000e+00,\n", - " 3.18990000e-01, 1.67090000e-01, 9.11400000e-02, 0.00000000e+00,\n", - " 3.03800000e-01, 1.00254000e+00, 7.59500000e-02, 5.84815000e+00,\n", - " 1.13925000e+00, 4.69371000e+00, 2.49116000e+00, 1.89875000e+00,\n", - " 2.09622000e+00, 9.11400000e-02, 0.00000000e+00, 1.06330000e-01,\n", - " 1.18482000e+00, 5.46840000e-01, 2.73420000e-01, 1.97470000e-01,\n", - " 6.83550000e-01, 6.37980000e-01, 1.71647000e+00, 3.61522000e+00,\n", - " 5.77220000e-01, 6.00005000e+00, 1.89875000e+00, 7.64057000e+00,\n", - " 9.56970000e-01, 2.67040200e+01, 1.67090000e-01, 2.12660000e-01,\n", - " 6.98740000e-01, 5.01270000e-01, 1.12406000e+00, 2.73420000e-01,\n", - " 1.00254000e+00, 7.98994000e+00, 1.38684700e+01, 3.72155000e+00,\n", - " 2.59749000e+00, 2.27850000e+00, 9.11400000e-01, 3.88864000e+00,\n", - " 4.70890000e-01, 3.79750000e-01, 3.70636000e+00, 3.15952000e+00,\n", - " 1.51900000e-01, 0.00000000e+00, 6.98740000e-01, 7.13930000e-01,\n", - " 6.07600000e-02, 1.67090000e-01, 1.27596000e+00, 2.61268000e+00,\n", - " 1.54938000e+00, 5.01270000e-01, 5.16460000e-01, 3.82788000e+00,\n", - " 8.90134000e+00, 7.91399000e+00, 1.73166000e+00, 2.79496000e+00,\n", - " 3.26585000e+00, 3.64560000e+00, 4.10130000e-01, 8.50640000e-01,\n", - " 1.51900000e-01, 1.82280000e-01, 2.73420000e-01, 0.00000000e+00,\n", - " 7.59500000e-02, 2.12660000e-01, 3.08357000e+00, 8.05070000e-01,\n", - " 9.11400000e-02, 0.00000000e+00, 2.27850000e-01, 2.47597000e+00,\n", - " 1.97470000e+00, 7.04816000e+00, 9.23552000e+00, 1.71647000e+00,\n", - " 2.73420000e-01, 1.36710000e-01, 7.13930000e-01, 1.36710000e-01,\n", - " 4.08611000e+00, 3.17471000e+00, 9.72160000e-01, 7.89880000e-01,\n", - " 8.27855000e+00, 1.67090000e+00, 0.00000000e+00, 3.99497000e+00,\n", - " 2.62787000e+00, 1.29722600e+01, 2.09622000e+00, 6.21271000e+00,\n", - " 1.29115000e+00, 1.76204000e+00, 4.81523000e+00, 8.08108000e+00,\n", - " 7.23044000e+00, 1.44760700e+01, 2.15698000e+00, 9.26590000e-01,\n", - " 6.15195000e+00, 7.62538000e+00, 2.59749000e+00, 1.42786000e+00,\n", - " 3.03800000e-01, 1.21520000e+00, 2.26331000e+00, 1.57976000e+00,\n", - " 1.33672000e+00, 3.94940000e+00, 1.12406000e+00, 3.79750000e-01,\n", - " 7.54943000e+00, 6.42537000e+00, 5.63549000e+00, 5.89372000e+00,\n", - " 8.96210000e-01, 1.01773000e+00, 1.97470000e-01, 5.31650000e-01,\n", - " 1.09368000e+00, 2.09622000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.50836700e+01, 2.19343600e+01, 4.76206500e+01, 1.24558000e+00,\n", - " 1.36710000e+00, 7.44310000e-01, 1.67090000e-01, 1.82280000e-01,\n", - " 4.55700000e-01, 3.94940000e-01, 2.44559000e+00, 2.23293000e+00,\n", - " 2.09622000e+00, 6.07600000e-01, 1.57368400e+01, 2.88154300e+01,\n", - " 4.40510000e-01, 3.79750000e-01, 1.01773000e+00, 4.10130000e-01,\n", - " 4.55700000e-01, 1.07849000e+00, 2.03546000e+00, 7.29120000e-01,\n", - " 1.03292000e+00, 1.06330000e+00, 1.36710000e-01, 2.59749000e+00,\n", - " 3.34180000e-01, 8.05070000e-01, 9.56970000e-01, 2.47597000e+00,\n", - " 1.92913000e+00, 1.67090000e-01, 2.87091000e+00, 8.65830000e-01,\n", - " 6.22790000e-01, 6.83550000e-01, 1.61014000e+00, 8.20260000e-01,\n", - " 1.77723000e+00, 9.11400000e-02, 8.35450000e-01, 5.16460000e-01,\n", - " 7.29120000e-01, 2.58230000e-01, 2.97572100e+01, 7.59500000e-01,\n", - " 6.68360000e-01, 3.03800000e+01, 1.09368000e+00, 1.97470000e-01,\n", - " 0.00000000e+00, 1.97470000e-01, 9.11400000e-02, 7.59500000e-01,\n", - " 1.04811000e+00, 2.12660000e-01, 8.05070000e-01, 1.00254000e+01,\n", - " 6.39499000e+00, 7.73171000e+00, 2.69774400e+01, 2.34229800e+01,\n", - " 6.37980000e-01, 3.64560000e-01, 6.13676000e+00, 3.94940000e+00,\n", - " 1.33520100e+01, 9.47856000e+00, 1.36710000e-01, 3.34180000e+00,\n", - " 9.56970000e-01, 1.35646700e+01, 7.59500000e-02, 1.06330000e-01,\n", - " 1.67090000e-01, 7.59500000e-02, 4.78485000e+00, 3.78231000e+00,\n", - " 3.79750000e+00, 1.19241500e+01, 6.22790000e-01, 1.51900000e-01,\n", - " 5.93929000e+00, 1.97470000e-01, 6.22790000e-01, 9.58489000e+00,\n", - " 6.53170000e-01, 6.07600000e-01, 5.77220000e-01, 6.68360000e-01,\n", - " 3.49370000e-01, 7.76209000e+00, 4.40510000e+00, 1.36710000e+00,\n", - " 2.08103000e+00, 7.29120000e-01, 1.36710000e-01, 3.88864000e+00,\n", - " 2.43040000e+00, 5.54435000e+00, 5.46840000e-01, 9.72160000e-01,\n", - " 3.49370000e-01, 5.62030000e-01, 1.13925000e+00, 4.35953000e+00,\n", - " 1.23039000e+00, 4.48105000e+00, 1.71647000e+00, 6.37980000e-01,\n", - " 1.33672000e+00, 2.29369000e+00, 3.82788000e+00, 1.04507200e+01,\n", - " 1.16963000e+00, 5.54435000e+00, 5.16460000e-01, 5.01270000e-01,\n", - " 1.36710000e+00, 2.77977000e+00, 1.06330000e+00, 3.15952000e+00,\n", - " 2.12660000e-01, 7.13930000e-01, 3.94940000e+00, 2.06584000e+00,\n", - " 2.58230000e-01, 4.70890000e-01, 1.65571000e+00, 9.56970000e-01,\n", - " 1.80761000e+00, 1.21520000e+00, 1.67090000e-01, 5.31650000e-01,\n", - " 1.21520000e-01, 1.51900000e-02, 6.16714000e+00, 8.24817000e+00,\n", - " 3.94940000e-01, 2.88610000e-01, 1.82431900e+01, 8.23298000e+00,\n", - " 1.56457000e+00, 6.16714000e+00, 9.56970000e-01, 3.22028000e+00,\n", - " 4.25320000e-01, 3.79750000e-01, 4.29877000e+00, 5.16460000e-01,\n", - " 1.97470000e-01, 2.99243000e+00, 1.68609000e+00, 7.89880000e-01,\n", - " 6.95702000e+00, 2.43040000e-01, 5.62030000e-01, 2.88610000e-01,\n", - " 4.10130000e-01, 1.51900000e-01, 9.49375000e+00, 4.95194000e+00,\n", - " 5.62030000e-01, 2.58230000e-01, 4.04054000e+00, 4.25320000e-01,\n", - " 2.02027000e+00, 1.51900000e-02, 1.86837000e+00, 2.40002000e+00,\n", - " 6.83550000e-01, 2.26331000e+00, 3.79750000e-01, 1.20760500e+01,\n", - " 5.16460000e-01, 5.01270000e-01, 4.70890000e-01, 1.73773600e+01,\n", - " 5.31650000e-01, 1.26077000e+00, 1.36710000e-01, 7.59500000e-02,\n", - " 4.20763000e+00, 1.50381000e+00, 1.21520000e-01, 0.00000000e+00,\n", - " 5.34688000e+00, 2.76458000e+00, 7.95956000e+00, 3.46332000e+00,\n", - " 9.11400000e-02, 6.07600000e-02, 4.55700000e-01, 2.06584000e+00,\n", - " 2.44559000e+00, 3.79750000e-01, 0.00000000e+00, 1.36710000e-01,\n", - " 1.42786000e+00, 2.73420000e-01, 4.86080000e-01, 8.05070000e-01,\n", - " 5.33169000e+00, 3.49370000e+00, 1.06330000e-01, 3.64560000e-01,\n", - " 1.97470000e-01, 1.51900000e-01, 1.51900000e-01, 4.55700000e-01,\n", - " 4.55700000e-01, 5.84815000e+00, 5.57473000e+00, 4.25320000e-01,\n", - " 5.92410000e-01, 2.27850000e-01, 1.67090000e-01, 5.01270000e-01,\n", - " 1.51900000e-01, 1.51900000e-01, 1.03292000e+00, 7.89880000e-01,\n", - " 1.07849000e+00, 1.35191000e+00, 1.15292100e+01, 2.36964000e+00,\n", - " 2.09622000e+00, 2.18736000e+00, 4.08611000e+00, 3.03800000e-01,\n", - " 1.97470000e+00, 5.63549000e+00, 3.94940000e-01, 1.60406400e+01,\n", - " 1.20152900e+01, 7.36715000e+00, 8.20260000e-01, 2.27850000e-01,\n", - " 1.34431500e+01, 3.40256000e+00, 5.66587000e+00, 1.24558000e+00,\n", - " 2.88610000e-01, 4.64814000e+00, 3.73674000e+00, 1.51900000e-01,\n", - " 6.07600000e-02, 4.55700000e-02, 1.36710000e+00, 6.07600000e-02,\n", - " 6.33423000e+00, 1.35798600e+01, 6.07600000e-01, 1.24558000e+00,\n", - " 2.79496000e+00, 7.59500000e-02, 3.49370000e-01, 4.10130000e+00,\n", - " 4.40510000e-01, 7.29120000e-01, 1.56457000e+00, 8.52159000e+00,\n", - " 4.69371000e+00, 9.72160000e-01, 1.53419000e+00, 2.03546000e+00,\n", - " 2.27850000e-01, 1.03292000e+00, 1.30634000e+00, 5.46840000e-01,\n", - " 7.59500000e-02, 8.20260000e-01, 3.94940000e-01, 3.79750000e-01,\n", - " 8.65830000e-01, 1.07849000e+00, 1.59495000e+00, 4.25320000e-01,\n", - " 4.55700000e-02, 5.77220000e-01, 7.33677000e+00, 4.10130000e-01,\n", - " 3.58484000e+00, 3.64560000e-01, 1.30634000e+00, 7.44310000e+00,\n", - " 1.16811100e+01, 2.61268000e+00, 4.98232000e+00, 5.77220000e-01,\n", - " 5.31650000e-01, 3.79750000e-01, 2.77977000e+00, 4.55700000e-01,\n", - " 4.86080000e-01, 2.73420000e-01, 7.59500000e-01, 7.29120000e-01,\n", - " 7.74690000e+00, 2.23293000e+00, 8.81020000e-01, 1.51900000e-02,\n", - " 7.44310000e-01, 2.81015000e+00, 3.23547000e+00, 3.03800000e+00,\n", - " 2.88610000e-01, 1.12406000e+00, 2.12660000e+00, 3.79750000e-01,\n", - " 9.56970000e-01, 5.77220000e-01, 2.58230000e-01, 4.25320000e-01,\n", - " 9.26590000e-01, 7.13930000e-01, 6.22790000e-01, 1.21520000e-01,\n", - " 4.57219000e+00, 5.81777000e+00, 2.27850000e-01, 2.43040000e-01,\n", - " 5.31650000e-01, 1.69824200e+01, 9.18995000e+00, 1.97470000e-01,\n", - " 6.48613000e+00, 3.37218000e+00, 1.51900000e-02, 6.53170000e-01,\n", - " 3.64560000e-01, 3.09876000e+00, 4.55700000e+00, 6.25828000e+00,\n", - " 4.25320000e-01, 1.21671900e+01, 2.08103000e+00, 8.81020000e+00,\n", - " 1.13925000e+00, 1.59495000e+00, 6.78993000e+00, 5.13422000e+00,\n", - " 2.11141000e+00, 2.41521000e+00, 0.00000000e+00, 1.51900000e+00,\n", - " 1.35191000e+00, 1.82280000e-01, 9.11400000e-02, 1.67090000e-01,\n", - " 2.58230000e-01, 4.86080000e-01, 1.00254000e+00, 6.83550000e-01,\n", - " 5.77220000e-01, 2.71901000e+00, 2.96205000e+00, 6.07600000e-02,\n", - " 5.92410000e-01, 8.20260000e-01, 3.64560000e-01, 5.62030000e-01,\n", - " 3.03800000e-01, 9.87350000e-01, 2.53673000e+00, 3.64560000e-01,\n", - " 2.88610000e-01, 1.66482400e+01, 6.53170000e-01, 5.62030000e-01,\n", - " 4.86080000e-01, 3.11395000e+00, 7.13930000e-01, 2.58230000e-01,\n", - " 2.18736000e+00, 5.77220000e-01, 4.02535000e+00, 1.06330000e+00,\n", - " 9.09881000e+00, 6.57727000e+00, 6.22790000e+00, 5.62030000e-01,\n", - " 6.07600000e-02, 7.13930000e-01, 1.67090000e-01, 4.10130000e-01,\n", - " 8.44564000e+00, 4.40510000e-01, 4.55700000e-02, 2.43040000e-01,\n", - " 5.65068000e+00, 1.42786000e+00, 3.34180000e-01, 1.15444000e+00,\n", - " 5.58992000e+00, 1.01469200e+01, 1.85925600e+01, 2.15698000e+00,\n", - " 9.78236000e+00, 1.31393500e+01, 1.13925000e+00, 5.92410000e-01,\n", - " 1.59495000e+00, 2.22989200e+01, 1.19089600e+01, 6.07600000e-02,\n", - " 6.83550000e-01, 1.00254000e+00, 4.25320000e-01, 1.94432000e+00,\n", - " 8.81020000e-01, 1.51900000e+00, 1.68609000e+00, 8.97729000e+00,\n", - " 2.11141000e+00, 1.21520000e-01, 2.55192000e+00, 4.02535000e+00,\n", - " 2.41521000e+00, 2.11141000e+00, 1.36710000e-01, 1.16963000e+00,\n", - " 7.13930000e-01, 2.58230000e-01, 1.36710000e-01, 1.12254100e+01,\n", - " 8.20260000e-01, 3.18990000e-01, 1.06330000e+00, 2.03546000e+00,\n", - " 1.20152900e+01, 6.71398000e+00, 1.04811000e+00, 1.45824000e+00,\n", - " 5.89372000e+00, 8.35450000e-01, 1.42786000e+00, 4.55700000e+00,\n", - " 3.85826000e+00, 5.62030000e-01, 7.00259000e+00, 6.37980000e-01,\n", - " 1.39444200e+01, 7.44310000e-01, 2.23293000e+00, 1.06330000e-01,\n", - " 7.59500000e-02, 1.97470000e-01, 1.15444000e+00, 7.74690000e-01,\n", - " 1.24558000e+00, 6.83550000e-01, 5.31650000e-01, 6.53170000e-01,\n", - " 2.29369000e+00, 7.89880000e-01, 3.18990000e-01, 3.03800000e+00,\n", - " 2.58230000e-01, 9.75198000e+00, 2.35445000e+00, 2.40002000e+00,\n", - " 5.62030000e-01, 8.81020000e-01, 3.34180000e-01, 1.08456600e+01,\n", - " 4.25320000e-01, 1.97470000e-01, 2.26331000e+00, 2.01115600e+01,\n", - " 3.03800000e-01, 4.86080000e-01, 6.07600000e-02, 9.29628000e+00,\n", - " 1.51900000e-01, 2.09622000e+00, 3.03800000e-01, 8.36969000e+00,\n", - " 3.40256000e+00, 1.36710000e-01, 3.03800000e-02, 5.62030000e+00,\n", - " 1.06330000e-01, 9.26590000e-01, 3.09876000e+00, 8.20260000e-01,\n", - " 3.75193000e+00, 1.26077000e+00, 2.67344000e+00, 4.25320000e-01,\n", - " 7.89880000e-01, 1.36710000e-01, 1.15595900e+01, 1.18482000e+01,\n", - " 2.56711000e+00, 6.30385000e+00, 1.29418800e+01, 5.01270000e-01,\n", - " 7.59500000e-02, 2.58230000e-01, 5.31650000e-01, 6.83550000e-01,\n", - " 2.27850000e-01, 9.11400000e-02, 5.01270000e-01, 1.21520000e+00,\n", - " 1.68609000e+00, 5.01270000e-01, 2.73420000e-01, 2.58230000e-01,\n", - " 3.49370000e-01, 4.55700000e-02, 1.12406000e+00, 5.77220000e-01,\n", - " 2.73420000e-01, 1.41267000e+00, 1.21520000e-01, 2.17217000e+00,\n", - " 3.70636000e+00, 1.35191000e+00, 3.52408000e+00, 6.39499000e+00,\n", - " 2.02027000e+00, 9.72160000e+00, 1.06330000e+00, 1.86837000e+00,\n", - " 3.64560000e+00, 1.47343000e+00, 6.98740000e-01, 8.81020000e-01,\n", - " 3.94940000e-01, 5.01270000e-01, 1.51900000e-02, 5.62030000e-01,\n", - " 2.58230000e-01, 1.36710000e-01, 6.22790000e-01, 2.84053000e+00,\n", - " 6.68360000e-01, 5.46840000e-01, 2.27850000e-01, 9.87350000e-01,\n", - " 6.50132000e+00, 2.74939000e+00, 7.44310000e-01, 1.80761000e+00,\n", - " 5.31650000e-01, 1.33672000e+01, 9.41780000e-01, 4.54181000e+00,\n", - " 9.11400000e-01, 1.15444000e+00, 4.70890000e-01, 1.33672000e+00,\n", - " 6.98740000e-01, 5.01270000e-01, 1.70128000e+00, 9.11400000e-02,\n", - " 2.73420000e-01, 7.13930000e-01, 5.31650000e-01, 6.98740000e-01,\n", - " 1.97470000e-01, 1.01773000e+00, 6.07600000e+00, 1.74685000e+00,\n", - " 2.74939000e+00, 1.65571000e+00, 9.56970000e-01, 2.09622000e+00,\n", - " 7.00259000e+00, 5.33169000e+00, 3.94940000e-01, 1.57976000e+00,\n", - " 8.05070000e-01, 1.04811000e+00, 2.36964000e+00, 4.51143000e+00,\n", - " 4.55700000e-02, 7.59500000e-02, 5.36207000e+00, 5.52916000e+00,\n", - " 8.50640000e-01, 1.06330000e-01, 5.92410000e-01, 3.94940000e-01,\n", - " 4.55700000e-02, 1.06330000e-01, 4.55700000e-01, 5.31650000e-01,\n", - " 6.03043000e+00, 2.91648000e+00, 3.18990000e-01, 8.96210000e-01,\n", - " 6.25828000e+00, 3.64560000e-01, 1.13621200e+01, 5.46840000e-01,\n", - " 8.18741000e+00, 7.44310000e-01, 3.23547000e+00, 6.07600000e-02,\n", - " 1.97470000e-01, 5.16460000e-01, 2.12660000e-01, 3.44813000e+00,\n", - " 2.09622000e+00, 1.65571000e+00, 2.43040000e-01, 6.53170000e-01,\n", - " 4.55700000e-02, 2.79496000e+00, 7.74690000e-01, 9.11400000e-02,\n", - " 1.27596000e+00, 4.45067000e+00, 1.57976000e+00, 1.51900000e-02,\n", - " 6.59246000e+00, 4.55700000e-01, 4.64814000e+00, 7.59500000e-02,\n", - " 4.55700000e-02, 5.92410000e-01, 2.76458000e+00, 4.25320000e-01,\n", - " 1.15444000e+00, 2.68863000e+00, 1.36710000e-01, 1.82280000e-01,\n", - " 9.60008000e+00, 6.07600000e-02, 6.07600000e-02, 4.86080000e-01,\n", - " 5.62030000e-01, 4.86080000e-01, 1.67090000e-01, 8.20260000e-01,\n", - " 6.98740000e-01, 9.72160000e-01, 7.29120000e-01, 2.09622000e+00,\n", - " 3.78231000e+00, 2.88610000e-01, 1.51900000e-01, 3.94940000e-01,\n", - " 6.53170000e-01, 6.68360000e-01, 2.18736000e+00, 2.58230000e-01,\n", - " 1.36710000e-01, 7.44310000e-01, 3.87345000e+00, 1.26077000e+00,\n", - " 7.13930000e-01, 2.69166800e+01, 3.03800000e-02, 3.34180000e-01,\n", - " 3.18990000e-01, 9.11400000e-02, 1.06330000e-01, 1.36710000e-01,\n", - " 1.21520000e-01, 8.81020000e-01, 2.12660000e-01, 2.82534000e+00,\n", - " 1.46127800e+01, 8.35450000e-01, 2.88610000e-01, 9.87350000e-01,\n", - " 5.27093000e+00, 4.10130000e-01, 2.58230000e-01, 1.13925000e+00,\n", - " 2.27850000e-01, 1.32153000e+00, 2.24812000e+00, 1.83799000e+00,\n", - " 1.67090000e-01, 8.50640000e-01, 5.92410000e-01, 4.40510000e-01,\n", - " 7.13930000e-01, 3.97978000e+00, 8.50640000e-01, 1.38229000e+00,\n", - " 2.24812000e+00, 2.73420000e+00, 2.12660000e-01, 6.07600000e-01,\n", - " 2.52154000e+00, 2.30888000e+00, 8.23298000e+00, 1.97470000e-01,\n", - " 3.02281000e+00, 3.64560000e-01, 8.96210000e-01, 1.26077000e+00,\n", - " 3.03800000e-01, 1.26077000e+00, 4.55700000e-01, 3.79750000e-01,\n", - " 1.06330000e+00, 1.20001000e+00, 2.73420000e-01, 1.21520000e-01,\n", - " 9.72160000e-01, 1.71647000e+00, 1.07849000e+00, 7.13930000e-01,\n", - " 4.10130000e-01, 4.55700000e-02, 1.73166000e+00, 4.87599000e+00,\n", - " 6.53170000e-01, 3.34180000e-01, 1.51900000e-02, 1.00254000e+00,\n", - " 7.13930000e-01, 2.27850000e-01, 2.73420000e-01, 1.20001000e+00,\n", - " 3.64560000e-01, 7.77728000e+00, 7.13930000e-01, 2.73420000e-01,\n", - " 0.00000000e+00, 1.54938000e+00, 3.64560000e-01, 4.86080000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.52791776e+03, -2.52731782e+03, 3.25384333e+00, -9.35549475e+01,\n", - " 0.00000000e+00, 0.00000000e+00, -9.46491895e+01, 0.00000000e+00,\n", - " 0.00000000e+00, -2.63646114e+01, -3.50201444e+02, -7.19679238e+02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 1.13900000e+00, 5.32100000e+00, 1.03870000e+01, 7.36100000e+00,\n", - " 3.91000000e-01, 7.14000000e-01, 4.76000000e-01, 1.00300000e+00,\n", - " 1.64900000e+00, 2.55000000e-01, 1.00300000e+00, 7.99000000e-01,\n", - " 1.78840000e+01, 6.80000000e-02, 2.38000000e-01, 1.53000000e-01,\n", - " 8.92500000e+00, 6.42600000e+00, 9.69000000e-01, 1.51300000e+00,\n", - " 3.57000000e-01, 1.87000000e-01, 1.02000000e-01, 0.00000000e+00,\n", - " 3.40000000e-01, 1.12200000e+00, 8.50000000e-02, 6.54500000e+00,\n", - " 1.27500000e+00, 5.25300000e+00, 2.78800000e+00, 2.12500000e+00,\n", - " 2.34600000e+00, 1.02000000e-01, 0.00000000e+00, 1.19000000e-01,\n", - " 1.32600000e+00, 6.12000000e-01, 3.06000000e-01, 2.21000000e-01,\n", - " 7.65000000e-01, 7.14000000e-01, 1.92100000e+00, 4.04600000e+00,\n", - " 6.46000000e-01, 6.71500000e+00, 2.12500000e+00, 8.55100000e+00,\n", - " 1.07100000e+00, 2.98860000e+01, 1.87000000e-01, 2.38000000e-01,\n", - " 7.82000000e-01, 5.61000000e-01, 1.25800000e+00, 3.06000000e-01,\n", - " 1.12200000e+00, 8.94200000e+00, 1.55210000e+01, 4.16500000e+00,\n", - " 2.90700000e+00, 2.55000000e+00, 1.02000000e+00, 4.35200000e+00,\n", - " 5.27000000e-01, 4.25000000e-01, 4.14800000e+00, 3.53600000e+00,\n", - " 1.70000000e-01, 0.00000000e+00, 7.82000000e-01, 7.99000000e-01,\n", - " 6.80000000e-02, 1.87000000e-01, 1.42800000e+00, 2.92400000e+00,\n", - " 1.73400000e+00, 5.61000000e-01, 5.78000000e-01, 4.28400000e+00,\n", - " 9.96200000e+00, 8.85700000e+00, 1.93800000e+00, 3.12800000e+00,\n", - " 3.65500000e+00, 4.08000000e+00, 4.59000000e-01, 9.52000000e-01,\n", - " 1.70000000e-01, 2.04000000e-01, 3.06000000e-01, 0.00000000e+00,\n", - " 8.50000000e-02, 2.38000000e-01, 3.45100000e+00, 9.01000000e-01,\n", - " 1.02000000e-01, 0.00000000e+00, 2.55000000e-01, 2.77100000e+00,\n", - " 2.21000000e+00, 7.88800000e+00, 1.03360000e+01, 1.92100000e+00,\n", - " 3.06000000e-01, 1.53000000e-01, 7.99000000e-01, 1.53000000e-01,\n", - " 4.57300000e+00, 3.55300000e+00, 1.08800000e+00, 8.84000000e-01,\n", - " 9.26500000e+00, 1.87000000e+00, 0.00000000e+00, 4.47100000e+00,\n", - " 2.94100000e+00, 1.45180000e+01, 2.34600000e+00, 6.95300000e+00,\n", - " 1.44500000e+00, 1.97200000e+00, 5.38900000e+00, 9.04400000e+00,\n", - " 8.09200000e+00, 1.62010000e+01, 2.41400000e+00, 1.03700000e+00,\n", - " 6.88500000e+00, 8.53400000e+00, 2.90700000e+00, 1.59800000e+00,\n", - " 3.40000000e-01, 1.36000000e+00, 2.53300000e+00, 1.76800000e+00,\n", - " 1.49600000e+00, 4.42000000e+00, 1.25800000e+00, 4.25000000e-01,\n", - " 8.44900000e+00, 7.19100000e+00, 6.30700000e+00, 6.59600000e+00,\n", - " 1.00300000e+00, 1.13900000e+00, 2.21000000e-01, 5.95000000e-01,\n", - " 1.22400000e+00, 2.34600000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.68810000e+01, 2.45480000e+01, 5.32950000e+01, 1.39400000e+00,\n", - " 1.53000000e+00, 8.33000000e-01, 1.87000000e-01, 2.04000000e-01,\n", - " 5.10000000e-01, 4.42000000e-01, 2.73700000e+00, 2.49900000e+00,\n", - " 2.34600000e+00, 6.80000000e-01, 1.76120000e+01, 3.22490000e+01,\n", - " 4.93000000e-01, 4.25000000e-01, 1.13900000e+00, 4.59000000e-01,\n", - " 5.10000000e-01, 1.20700000e+00, 2.27800000e+00, 8.16000000e-01,\n", - " 1.15600000e+00, 1.19000000e+00, 1.53000000e-01, 2.90700000e+00,\n", - " 3.74000000e-01, 9.01000000e-01, 1.07100000e+00, 2.77100000e+00,\n", - " 2.15900000e+00, 1.87000000e-01, 3.21300000e+00, 9.69000000e-01,\n", - " 6.97000000e-01, 7.65000000e-01, 1.80200000e+00, 9.18000000e-01,\n", - " 1.98900000e+00, 1.02000000e-01, 9.35000000e-01, 5.78000000e-01,\n", - " 8.16000000e-01, 2.89000000e-01, 3.33030000e+01, 8.50000000e-01,\n", - " 7.48000000e-01, 3.40000000e+01, 1.22400000e+00, 2.21000000e-01,\n", - " 0.00000000e+00, 2.21000000e-01, 1.02000000e-01, 8.50000000e-01,\n", - " 1.17300000e+00, 2.38000000e-01, 9.01000000e-01, 1.12200000e+01,\n", - " 7.15700000e+00, 8.65300000e+00, 3.01920000e+01, 2.62140000e+01,\n", - " 7.14000000e-01, 4.08000000e-01, 6.86800000e+00, 4.42000000e+00,\n", - " 1.49430000e+01, 1.06080000e+01, 1.53000000e-01, 3.74000000e+00,\n", - " 1.07100000e+00, 1.51810000e+01, 8.50000000e-02, 1.19000000e-01,\n", - " 1.87000000e-01, 8.50000000e-02, 5.35500000e+00, 4.23300000e+00,\n", - " 4.25000000e+00, 1.33450000e+01, 6.97000000e-01, 1.70000000e-01,\n", - " 6.64700000e+00, 2.21000000e-01, 6.97000000e-01, 1.07270000e+01,\n", - " 7.31000000e-01, 6.80000000e-01, 6.46000000e-01, 7.48000000e-01,\n", - " 3.91000000e-01, 8.68700000e+00, 4.93000000e+00, 1.53000000e+00,\n", - " 2.32900000e+00, 8.16000000e-01, 1.53000000e-01, 4.35200000e+00,\n", - " 2.72000000e+00, 6.20500000e+00, 6.12000000e-01, 1.08800000e+00,\n", - " 3.91000000e-01, 6.29000000e-01, 1.27500000e+00, 4.87900000e+00,\n", - " 1.37700000e+00, 5.01500000e+00, 1.92100000e+00, 7.14000000e-01,\n", - " 1.49600000e+00, 2.56700000e+00, 4.28400000e+00, 1.16960000e+01,\n", - " 1.30900000e+00, 6.20500000e+00, 5.78000000e-01, 5.61000000e-01,\n", - " 1.53000000e+00, 3.11100000e+00, 1.19000000e+00, 3.53600000e+00,\n", - " 2.38000000e-01, 7.99000000e-01, 4.42000000e+00, 2.31200000e+00,\n", - " 2.89000000e-01, 5.27000000e-01, 1.85300000e+00, 1.07100000e+00,\n", - " 2.02300000e+00, 1.36000000e+00, 1.87000000e-01, 5.95000000e-01,\n", - " 1.36000000e-01, 1.70000000e-02, 6.90200000e+00, 9.23100000e+00,\n", - " 4.42000000e-01, 3.23000000e-01, 2.04170000e+01, 9.21400000e+00,\n", - " 1.75100000e+00, 6.90200000e+00, 1.07100000e+00, 3.60400000e+00,\n", - " 4.76000000e-01, 4.25000000e-01, 4.81100000e+00, 5.78000000e-01,\n", - " 2.21000000e-01, 3.34900000e+00, 1.88700000e+00, 8.84000000e-01,\n", - " 7.78600000e+00, 2.72000000e-01, 6.29000000e-01, 3.23000000e-01,\n", - " 4.59000000e-01, 1.70000000e-01, 1.06250000e+01, 5.54200000e+00,\n", - " 6.29000000e-01, 2.89000000e-01, 4.52200000e+00, 4.76000000e-01,\n", - " 2.26100000e+00, 1.70000000e-02, 2.09100000e+00, 2.68600000e+00,\n", - " 7.65000000e-01, 2.53300000e+00, 4.25000000e-01, 1.35150000e+01,\n", - " 5.78000000e-01, 5.61000000e-01, 5.27000000e-01, 1.94480000e+01,\n", - " 5.95000000e-01, 1.41100000e+00, 1.53000000e-01, 8.50000000e-02,\n", - " 4.70900000e+00, 1.68300000e+00, 1.36000000e-01, 0.00000000e+00,\n", - " 5.98400000e+00, 3.09400000e+00, 8.90800000e+00, 3.87600000e+00,\n", - " 1.02000000e-01, 6.80000000e-02, 5.10000000e-01, 2.31200000e+00,\n", - " 2.73700000e+00, 4.25000000e-01, 0.00000000e+00, 1.53000000e-01,\n", - " 1.59800000e+00, 3.06000000e-01, 5.44000000e-01, 9.01000000e-01,\n", - " 5.96700000e+00, 3.91000000e+00, 1.19000000e-01, 4.08000000e-01,\n", - " 2.21000000e-01, 1.70000000e-01, 1.70000000e-01, 5.10000000e-01,\n", - " 5.10000000e-01, 6.54500000e+00, 6.23900000e+00, 4.76000000e-01,\n", - " 6.63000000e-01, 2.55000000e-01, 1.87000000e-01, 5.61000000e-01,\n", - " 1.70000000e-01, 1.70000000e-01, 1.15600000e+00, 8.84000000e-01,\n", - " 1.20700000e+00, 1.51300000e+00, 1.29030000e+01, 2.65200000e+00,\n", - " 2.34600000e+00, 2.44800000e+00, 4.57300000e+00, 3.40000000e-01,\n", - " 2.21000000e+00, 6.30700000e+00, 4.42000000e-01, 1.79520000e+01,\n", - " 1.34470000e+01, 8.24500000e+00, 9.18000000e-01, 2.55000000e-01,\n", - " 1.50450000e+01, 3.80800000e+00, 6.34100000e+00, 1.39400000e+00,\n", - " 3.23000000e-01, 5.20200000e+00, 4.18200000e+00, 1.70000000e-01,\n", - " 6.80000000e-02, 5.10000000e-02, 1.53000000e+00, 6.80000000e-02,\n", - " 7.08900000e+00, 1.51980000e+01, 6.80000000e-01, 1.39400000e+00,\n", - " 3.12800000e+00, 8.50000000e-02, 3.91000000e-01, 4.59000000e+00,\n", - " 4.93000000e-01, 8.16000000e-01, 1.75100000e+00, 9.53700000e+00,\n", - " 5.25300000e+00, 1.08800000e+00, 1.71700000e+00, 2.27800000e+00,\n", - " 2.55000000e-01, 1.15600000e+00, 1.46200000e+00, 6.12000000e-01,\n", - " 8.50000000e-02, 9.18000000e-01, 4.42000000e-01, 4.25000000e-01,\n", - " 9.69000000e-01, 1.20700000e+00, 1.78500000e+00, 4.76000000e-01,\n", - " 5.10000000e-02, 6.46000000e-01, 8.21100000e+00, 4.59000000e-01,\n", - " 4.01200000e+00, 4.08000000e-01, 1.46200000e+00, 8.33000000e+00,\n", - " 1.30730000e+01, 2.92400000e+00, 5.57600000e+00, 6.46000000e-01,\n", - " 5.95000000e-01, 4.25000000e-01, 3.11100000e+00, 5.10000000e-01,\n", - " 5.44000000e-01, 3.06000000e-01, 8.50000000e-01, 8.16000000e-01,\n", - " 8.67000000e+00, 2.49900000e+00, 9.86000000e-01, 1.70000000e-02,\n", - " 8.33000000e-01, 3.14500000e+00, 3.62100000e+00, 3.40000000e+00,\n", - " 3.23000000e-01, 1.25800000e+00, 2.38000000e+00, 4.25000000e-01,\n", - " 1.07100000e+00, 6.46000000e-01, 2.89000000e-01, 4.76000000e-01,\n", - " 1.03700000e+00, 7.99000000e-01, 6.97000000e-01, 1.36000000e-01,\n", - " 5.11700000e+00, 6.51100000e+00, 2.55000000e-01, 2.72000000e-01,\n", - " 5.95000000e-01, 1.90060000e+01, 1.02850000e+01, 2.21000000e-01,\n", - " 7.25900000e+00, 3.77400000e+00, 1.70000000e-02, 7.31000000e-01,\n", - " 4.08000000e-01, 3.46800000e+00, 5.10000000e+00, 7.00400000e+00,\n", - " 4.76000000e-01, 1.36170000e+01, 2.32900000e+00, 9.86000000e+00,\n", - " 1.27500000e+00, 1.78500000e+00, 7.59900000e+00, 5.74600000e+00,\n", - " 2.36300000e+00, 2.70300000e+00, 0.00000000e+00, 1.70000000e+00,\n", - " 1.51300000e+00, 2.04000000e-01, 1.02000000e-01, 1.87000000e-01,\n", - " 2.89000000e-01, 5.44000000e-01, 1.12200000e+00, 7.65000000e-01,\n", - " 6.46000000e-01, 3.04300000e+00, 3.31500000e+00, 6.80000000e-02,\n", - " 6.63000000e-01, 9.18000000e-01, 4.08000000e-01, 6.29000000e-01,\n", - " 3.40000000e-01, 1.10500000e+00, 2.83900000e+00, 4.08000000e-01,\n", - " 3.23000000e-01, 1.86320000e+01, 7.31000000e-01, 6.29000000e-01,\n", - " 5.44000000e-01, 3.48500000e+00, 7.99000000e-01, 2.89000000e-01,\n", - " 2.44800000e+00, 6.46000000e-01, 4.50500000e+00, 1.19000000e+00,\n", - " 1.01830000e+01, 7.36100000e+00, 6.97000000e+00, 6.29000000e-01,\n", - " 6.80000000e-02, 7.99000000e-01, 1.87000000e-01, 4.59000000e-01,\n", - " 9.45200000e+00, 4.93000000e-01, 5.10000000e-02, 2.72000000e-01,\n", - " 6.32400000e+00, 1.59800000e+00, 3.74000000e-01, 1.29200000e+00,\n", - " 6.25600000e+00, 1.13560000e+01, 2.08080000e+01, 2.41400000e+00,\n", - " 1.09480000e+01, 1.47050000e+01, 1.27500000e+00, 6.63000000e-01,\n", - " 1.78500000e+00, 2.49560000e+01, 1.33280000e+01, 6.80000000e-02,\n", - " 7.65000000e-01, 1.12200000e+00, 4.76000000e-01, 2.17600000e+00,\n", - " 9.86000000e-01, 1.70000000e+00, 1.88700000e+00, 1.00470000e+01,\n", - " 2.36300000e+00, 1.36000000e-01, 2.85600000e+00, 4.50500000e+00,\n", - " 2.70300000e+00, 2.36300000e+00, 1.53000000e-01, 1.30900000e+00,\n", - " 7.99000000e-01, 2.89000000e-01, 1.53000000e-01, 1.25630000e+01,\n", - " 9.18000000e-01, 3.57000000e-01, 1.19000000e+00, 2.27800000e+00,\n", - " 1.34470000e+01, 7.51400000e+00, 1.17300000e+00, 1.63200000e+00,\n", - " 6.59600000e+00, 9.35000000e-01, 1.59800000e+00, 5.10000000e+00,\n", - " 4.31800000e+00, 6.29000000e-01, 7.83700000e+00, 7.14000000e-01,\n", - " 1.56060000e+01, 8.33000000e-01, 2.49900000e+00, 1.19000000e-01,\n", - " 8.50000000e-02, 2.21000000e-01, 1.29200000e+00, 8.67000000e-01,\n", - " 1.39400000e+00, 7.65000000e-01, 5.95000000e-01, 7.31000000e-01,\n", - " 2.56700000e+00, 8.84000000e-01, 3.57000000e-01, 3.40000000e+00,\n", - " 2.89000000e-01, 1.09140000e+01, 2.63500000e+00, 2.68600000e+00,\n", - " 6.29000000e-01, 9.86000000e-01, 3.74000000e-01, 1.21380000e+01,\n", - " 4.76000000e-01, 2.21000000e-01, 2.53300000e+00, 2.25080000e+01,\n", - " 3.40000000e-01, 5.44000000e-01, 6.80000000e-02, 1.04040000e+01,\n", - " 1.70000000e-01, 2.34600000e+00, 3.40000000e-01, 9.36700000e+00,\n", - " 3.80800000e+00, 1.53000000e-01, 3.40000000e-02, 6.29000000e+00,\n", - " 1.19000000e-01, 1.03700000e+00, 3.46800000e+00, 9.18000000e-01,\n", - " 4.19900000e+00, 1.41100000e+00, 2.99200000e+00, 4.76000000e-01,\n", - " 8.84000000e-01, 1.53000000e-01, 1.29370000e+01, 1.32600000e+01,\n", - " 2.87300000e+00, 7.05500000e+00, 1.44840000e+01, 5.61000000e-01,\n", - " 8.50000000e-02, 2.89000000e-01, 5.95000000e-01, 7.65000000e-01,\n", - " 2.55000000e-01, 1.02000000e-01, 5.61000000e-01, 1.36000000e+00,\n", - " 1.88700000e+00, 5.61000000e-01, 3.06000000e-01, 2.89000000e-01,\n", - " 3.91000000e-01, 5.10000000e-02, 1.25800000e+00, 6.46000000e-01,\n", - " 3.06000000e-01, 1.58100000e+00, 1.36000000e-01, 2.43100000e+00,\n", - " 4.14800000e+00, 1.51300000e+00, 3.94400000e+00, 7.15700000e+00,\n", - " 2.26100000e+00, 1.08800000e+01, 1.19000000e+00, 2.09100000e+00,\n", - " 4.08000000e+00, 1.64900000e+00, 7.82000000e-01, 9.86000000e-01,\n", - " 4.42000000e-01, 5.61000000e-01, 1.70000000e-02, 6.29000000e-01,\n", - " 2.89000000e-01, 1.53000000e-01, 6.97000000e-01, 3.17900000e+00,\n", - " 7.48000000e-01, 6.12000000e-01, 2.55000000e-01, 1.10500000e+00,\n", - " 7.27600000e+00, 3.07700000e+00, 8.33000000e-01, 2.02300000e+00,\n", - " 5.95000000e-01, 1.49600000e+01, 1.05400000e+00, 5.08300000e+00,\n", - " 1.02000000e+00, 1.29200000e+00, 5.27000000e-01, 1.49600000e+00,\n", - " 7.82000000e-01, 5.61000000e-01, 1.90400000e+00, 1.02000000e-01,\n", - " 3.06000000e-01, 7.99000000e-01, 5.95000000e-01, 7.82000000e-01,\n", - " 2.21000000e-01, 1.13900000e+00, 6.80000000e+00, 1.95500000e+00,\n", - " 3.07700000e+00, 1.85300000e+00, 1.07100000e+00, 2.34600000e+00,\n", - " 7.83700000e+00, 5.96700000e+00, 4.42000000e-01, 1.76800000e+00,\n", - " 9.01000000e-01, 1.17300000e+00, 2.65200000e+00, 5.04900000e+00,\n", - " 5.10000000e-02, 8.50000000e-02, 6.00100000e+00, 6.18800000e+00,\n", - " 9.52000000e-01, 1.19000000e-01, 6.63000000e-01, 4.42000000e-01,\n", - " 5.10000000e-02, 1.19000000e-01, 5.10000000e-01, 5.95000000e-01,\n", - " 6.74900000e+00, 3.26400000e+00, 3.57000000e-01, 1.00300000e+00,\n", - " 7.00400000e+00, 4.08000000e-01, 1.27160000e+01, 6.12000000e-01,\n", - " 9.16300000e+00, 8.33000000e-01, 3.62100000e+00, 6.80000000e-02,\n", - " 2.21000000e-01, 5.78000000e-01, 2.38000000e-01, 3.85900000e+00,\n", - " 2.34600000e+00, 1.85300000e+00, 2.72000000e-01, 7.31000000e-01,\n", - " 5.10000000e-02, 3.12800000e+00, 8.67000000e-01, 1.02000000e-01,\n", - " 1.42800000e+00, 4.98100000e+00, 1.76800000e+00, 1.70000000e-02,\n", - " 7.37800000e+00, 5.10000000e-01, 5.20200000e+00, 8.50000000e-02,\n", - " 5.10000000e-02, 6.63000000e-01, 3.09400000e+00, 4.76000000e-01,\n", - " 1.29200000e+00, 3.00900000e+00, 1.53000000e-01, 2.04000000e-01,\n", - " 1.07440000e+01, 6.80000000e-02, 6.80000000e-02, 5.44000000e-01,\n", - " 6.29000000e-01, 5.44000000e-01, 1.87000000e-01, 9.18000000e-01,\n", - " 7.82000000e-01, 1.08800000e+00, 8.16000000e-01, 2.34600000e+00,\n", - " 4.23300000e+00, 3.23000000e-01, 1.70000000e-01, 4.42000000e-01,\n", - " 7.31000000e-01, 7.48000000e-01, 2.44800000e+00, 2.89000000e-01,\n", - " 1.53000000e-01, 8.33000000e-01, 4.33500000e+00, 1.41100000e+00,\n", - " 7.99000000e-01, 3.01240000e+01, 3.40000000e-02, 3.74000000e-01,\n", - " 3.57000000e-01, 1.02000000e-01, 1.19000000e-01, 1.53000000e-01,\n", - " 1.36000000e-01, 9.86000000e-01, 2.38000000e-01, 3.16200000e+00,\n", - " 1.63540000e+01, 9.35000000e-01, 3.23000000e-01, 1.10500000e+00,\n", - " 5.89900000e+00, 4.59000000e-01, 2.89000000e-01, 1.27500000e+00,\n", - " 2.55000000e-01, 1.47900000e+00, 2.51600000e+00, 2.05700000e+00,\n", - " 1.87000000e-01, 9.52000000e-01, 6.63000000e-01, 4.93000000e-01,\n", - " 7.99000000e-01, 4.45400000e+00, 9.52000000e-01, 1.54700000e+00,\n", - " 2.51600000e+00, 3.06000000e+00, 2.38000000e-01, 6.80000000e-01,\n", - " 2.82200000e+00, 2.58400000e+00, 9.21400000e+00, 2.21000000e-01,\n", - " 3.38300000e+00, 4.08000000e-01, 1.00300000e+00, 1.41100000e+00,\n", - " 3.40000000e-01, 1.41100000e+00, 5.10000000e-01, 4.25000000e-01,\n", - " 1.19000000e+00, 1.34300000e+00, 3.06000000e-01, 1.36000000e-01,\n", - " 1.08800000e+00, 1.92100000e+00, 1.20700000e+00, 7.99000000e-01,\n", - " 4.59000000e-01, 5.10000000e-02, 1.93800000e+00, 5.45700000e+00,\n", - " 7.31000000e-01, 3.74000000e-01, 1.70000000e-02, 1.12200000e+00,\n", - " 7.99000000e-01, 2.55000000e-01, 3.06000000e-01, 1.34300000e+00,\n", - " 4.08000000e-01, 8.70400000e+00, 7.99000000e-01, 3.06000000e-01,\n", - " 0.00000000e+00, 1.73400000e+00, 4.08000000e-01, 5.44000000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.51350054e+03, -2.52731782e+03, -1.45805982e+01, -1.15518019e+02,\n", - " 0.00000000e+00, 0.00000000e+00, -1.38463699e+02, 0.00000000e+00,\n", - " 0.00000000e+00, -5.32982005e+01, -3.97509235e+02, -8.19157114e+02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 1.17250000e+00, 5.47750000e+00, 1.06925000e+01, 7.57750000e+00,\n", - " 4.02500000e-01, 7.35000000e-01, 4.90000000e-01, 1.03250000e+00,\n", - " 1.69750000e+00, 2.62500000e-01, 1.03250000e+00, 8.22500000e-01,\n", - " 1.84100000e+01, 7.00000000e-02, 2.45000000e-01, 1.57500000e-01,\n", - " 9.18750000e+00, 6.61500000e+00, 9.97500000e-01, 1.55750000e+00,\n", - " 3.67500000e-01, 1.92500000e-01, 1.05000000e-01, 0.00000000e+00,\n", - " 3.50000000e-01, 1.15500000e+00, 8.75000000e-02, 6.73750000e+00,\n", - " 1.31250000e+00, 5.40750000e+00, 2.87000000e+00, 2.18750000e+00,\n", - " 2.41500000e+00, 1.05000000e-01, 0.00000000e+00, 1.22500000e-01,\n", - " 1.36500000e+00, 6.30000000e-01, 3.15000000e-01, 2.27500000e-01,\n", - " 7.87500000e-01, 7.35000000e-01, 1.97750000e+00, 4.16500000e+00,\n", - " 6.65000000e-01, 6.91250000e+00, 2.18750000e+00, 8.80250000e+00,\n", - " 1.10250000e+00, 3.07650000e+01, 1.92500000e-01, 2.45000000e-01,\n", - " 8.05000000e-01, 5.77500000e-01, 1.29500000e+00, 3.15000000e-01,\n", - " 1.15500000e+00, 9.20500000e+00, 1.59775000e+01, 4.28750000e+00,\n", - " 2.99250000e+00, 2.62500000e+00, 1.05000000e+00, 4.48000000e+00,\n", - " 5.42500000e-01, 4.37500000e-01, 4.27000000e+00, 3.64000000e+00,\n", - " 1.75000000e-01, 0.00000000e+00, 8.05000000e-01, 8.22500000e-01,\n", - " 7.00000000e-02, 1.92500000e-01, 1.47000000e+00, 3.01000000e+00,\n", - " 1.78500000e+00, 5.77500000e-01, 5.95000000e-01, 4.41000000e+00,\n", - " 1.02550000e+01, 9.11750000e+00, 1.99500000e+00, 3.22000000e+00,\n", - " 3.76250000e+00, 4.20000000e+00, 4.72500000e-01, 9.80000000e-01,\n", - " 1.75000000e-01, 2.10000000e-01, 3.15000000e-01, 0.00000000e+00,\n", - " 8.75000000e-02, 2.45000000e-01, 3.55250000e+00, 9.27500000e-01,\n", - " 1.05000000e-01, 0.00000000e+00, 2.62500000e-01, 2.85250000e+00,\n", - " 2.27500000e+00, 8.12000000e+00, 1.06400000e+01, 1.97750000e+00,\n", - " 3.15000000e-01, 1.57500000e-01, 8.22500000e-01, 1.57500000e-01,\n", - " 4.70750000e+00, 3.65750000e+00, 1.12000000e+00, 9.10000000e-01,\n", - " 9.53750000e+00, 1.92500000e+00, 0.00000000e+00, 4.60250000e+00,\n", - " 3.02750000e+00, 1.49450000e+01, 2.41500000e+00, 7.15750000e+00,\n", - " 1.48750000e+00, 2.03000000e+00, 5.54750000e+00, 9.31000000e+00,\n", - " 8.33000000e+00, 1.66775000e+01, 2.48500000e+00, 1.06750000e+00,\n", - " 7.08750000e+00, 8.78500000e+00, 2.99250000e+00, 1.64500000e+00,\n", - " 3.50000000e-01, 1.40000000e+00, 2.60750000e+00, 1.82000000e+00,\n", - " 1.54000000e+00, 4.55000000e+00, 1.29500000e+00, 4.37500000e-01,\n", - " 8.69750000e+00, 7.40250000e+00, 6.49250000e+00, 6.79000000e+00,\n", - " 1.03250000e+00, 1.17250000e+00, 2.27500000e-01, 6.12500000e-01,\n", - " 1.26000000e+00, 2.41500000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.73775000e+01, 2.52700000e+01, 5.48625000e+01, 1.43500000e+00,\n", - " 1.57500000e+00, 8.57500000e-01, 1.92500000e-01, 2.10000000e-01,\n", - " 5.25000000e-01, 4.55000000e-01, 2.81750000e+00, 2.57250000e+00,\n", - " 2.41500000e+00, 7.00000000e-01, 1.81300000e+01, 3.31975000e+01,\n", - " 5.07500000e-01, 4.37500000e-01, 1.17250000e+00, 4.72500000e-01,\n", - " 5.25000000e-01, 1.24250000e+00, 2.34500000e+00, 8.40000000e-01,\n", - " 1.19000000e+00, 1.22500000e+00, 1.57500000e-01, 2.99250000e+00,\n", - " 3.85000000e-01, 9.27500000e-01, 1.10250000e+00, 2.85250000e+00,\n", - " 2.22250000e+00, 1.92500000e-01, 3.30750000e+00, 9.97500000e-01,\n", - " 7.17500000e-01, 7.87500000e-01, 1.85500000e+00, 9.45000000e-01,\n", - " 2.04750000e+00, 1.05000000e-01, 9.62500000e-01, 5.95000000e-01,\n", - " 8.40000000e-01, 2.97500000e-01, 3.42825000e+01, 8.75000000e-01,\n", - " 7.70000000e-01, 3.50000000e+01, 1.26000000e+00, 2.27500000e-01,\n", - " 0.00000000e+00, 2.27500000e-01, 1.05000000e-01, 8.75000000e-01,\n", - " 1.20750000e+00, 2.45000000e-01, 9.27500000e-01, 1.15500000e+01,\n", - " 7.36750000e+00, 8.90750000e+00, 3.10800000e+01, 2.69850000e+01,\n", - " 7.35000000e-01, 4.20000000e-01, 7.07000000e+00, 4.55000000e+00,\n", - " 1.53825000e+01, 1.09200000e+01, 1.57500000e-01, 3.85000000e+00,\n", - " 1.10250000e+00, 1.56275000e+01, 8.75000000e-02, 1.22500000e-01,\n", - " 1.92500000e-01, 8.75000000e-02, 5.51250000e+00, 4.35750000e+00,\n", - " 4.37500000e+00, 1.37375000e+01, 7.17500000e-01, 1.75000000e-01,\n", - " 6.84250000e+00, 2.27500000e-01, 7.17500000e-01, 1.10425000e+01,\n", - " 7.52500000e-01, 7.00000000e-01, 6.65000000e-01, 7.70000000e-01,\n", - " 4.02500000e-01, 8.94250000e+00, 5.07500000e+00, 1.57500000e+00,\n", - " 2.39750000e+00, 8.40000000e-01, 1.57500000e-01, 4.48000000e+00,\n", - " 2.80000000e+00, 6.38750000e+00, 6.30000000e-01, 1.12000000e+00,\n", - " 4.02500000e-01, 6.47500000e-01, 1.31250000e+00, 5.02250000e+00,\n", - " 1.41750000e+00, 5.16250000e+00, 1.97750000e+00, 7.35000000e-01,\n", - " 1.54000000e+00, 2.64250000e+00, 4.41000000e+00, 1.20400000e+01,\n", - " 1.34750000e+00, 6.38750000e+00, 5.95000000e-01, 5.77500000e-01,\n", - " 1.57500000e+00, 3.20250000e+00, 1.22500000e+00, 3.64000000e+00,\n", - " 2.45000000e-01, 8.22500000e-01, 4.55000000e+00, 2.38000000e+00,\n", - " 2.97500000e-01, 5.42500000e-01, 1.90750000e+00, 1.10250000e+00,\n", - " 2.08250000e+00, 1.40000000e+00, 1.92500000e-01, 6.12500000e-01,\n", - " 1.40000000e-01, 1.75000000e-02, 7.10500000e+00, 9.50250000e+00,\n", - " 4.55000000e-01, 3.32500000e-01, 2.10175000e+01, 9.48500000e+00,\n", - " 1.80250000e+00, 7.10500000e+00, 1.10250000e+00, 3.71000000e+00,\n", - " 4.90000000e-01, 4.37500000e-01, 4.95250000e+00, 5.95000000e-01,\n", - " 2.27500000e-01, 3.44750000e+00, 1.94250000e+00, 9.10000000e-01,\n", - " 8.01500000e+00, 2.80000000e-01, 6.47500000e-01, 3.32500000e-01,\n", - " 4.72500000e-01, 1.75000000e-01, 1.09375000e+01, 5.70500000e+00,\n", - " 6.47500000e-01, 2.97500000e-01, 4.65500000e+00, 4.90000000e-01,\n", - " 2.32750000e+00, 1.75000000e-02, 2.15250000e+00, 2.76500000e+00,\n", - " 7.87500000e-01, 2.60750000e+00, 4.37500000e-01, 1.39125000e+01,\n", - " 5.95000000e-01, 5.77500000e-01, 5.42500000e-01, 2.00200000e+01,\n", - " 6.12500000e-01, 1.45250000e+00, 1.57500000e-01, 8.75000000e-02,\n", - " 4.84750000e+00, 1.73250000e+00, 1.40000000e-01, 0.00000000e+00,\n", - " 6.16000000e+00, 3.18500000e+00, 9.17000000e+00, 3.99000000e+00,\n", - " 1.05000000e-01, 7.00000000e-02, 5.25000000e-01, 2.38000000e+00,\n", - " 2.81750000e+00, 4.37500000e-01, 0.00000000e+00, 1.57500000e-01,\n", - " 1.64500000e+00, 3.15000000e-01, 5.60000000e-01, 9.27500000e-01,\n", - " 6.14250000e+00, 4.02500000e+00, 1.22500000e-01, 4.20000000e-01,\n", - " 2.27500000e-01, 1.75000000e-01, 1.75000000e-01, 5.25000000e-01,\n", - " 5.25000000e-01, 6.73750000e+00, 6.42250000e+00, 4.90000000e-01,\n", - " 6.82500000e-01, 2.62500000e-01, 1.92500000e-01, 5.77500000e-01,\n", - " 1.75000000e-01, 1.75000000e-01, 1.19000000e+00, 9.10000000e-01,\n", - " 1.24250000e+00, 1.55750000e+00, 1.32825000e+01, 2.73000000e+00,\n", - " 2.41500000e+00, 2.52000000e+00, 4.70750000e+00, 3.50000000e-01,\n", - " 2.27500000e+00, 6.49250000e+00, 4.55000000e-01, 1.84800000e+01,\n", - " 1.38425000e+01, 8.48750000e+00, 9.45000000e-01, 2.62500000e-01,\n", - " 1.54875000e+01, 3.92000000e+00, 6.52750000e+00, 1.43500000e+00,\n", - " 3.32500000e-01, 5.35500000e+00, 4.30500000e+00, 1.75000000e-01,\n", - " 7.00000000e-02, 5.25000000e-02, 1.57500000e+00, 7.00000000e-02,\n", - " 7.29750000e+00, 1.56450000e+01, 7.00000000e-01, 1.43500000e+00,\n", - " 3.22000000e+00, 8.75000000e-02, 4.02500000e-01, 4.72500000e+00,\n", - " 5.07500000e-01, 8.40000000e-01, 1.80250000e+00, 9.81750000e+00,\n", - " 5.40750000e+00, 1.12000000e+00, 1.76750000e+00, 2.34500000e+00,\n", - " 2.62500000e-01, 1.19000000e+00, 1.50500000e+00, 6.30000000e-01,\n", - " 8.75000000e-02, 9.45000000e-01, 4.55000000e-01, 4.37500000e-01,\n", - " 9.97500000e-01, 1.24250000e+00, 1.83750000e+00, 4.90000000e-01,\n", - " 5.25000000e-02, 6.65000000e-01, 8.45250000e+00, 4.72500000e-01,\n", - " 4.13000000e+00, 4.20000000e-01, 1.50500000e+00, 8.57500000e+00,\n", - " 1.34575000e+01, 3.01000000e+00, 5.74000000e+00, 6.65000000e-01,\n", - " 6.12500000e-01, 4.37500000e-01, 3.20250000e+00, 5.25000000e-01,\n", - " 5.60000000e-01, 3.15000000e-01, 8.75000000e-01, 8.40000000e-01,\n", - " 8.92500000e+00, 2.57250000e+00, 1.01500000e+00, 1.75000000e-02,\n", - " 8.57500000e-01, 3.23750000e+00, 3.72750000e+00, 3.50000000e+00,\n", - " 3.32500000e-01, 1.29500000e+00, 2.45000000e+00, 4.37500000e-01,\n", - " 1.10250000e+00, 6.65000000e-01, 2.97500000e-01, 4.90000000e-01,\n", - " 1.06750000e+00, 8.22500000e-01, 7.17500000e-01, 1.40000000e-01,\n", - " 5.26750000e+00, 6.70250000e+00, 2.62500000e-01, 2.80000000e-01,\n", - " 6.12500000e-01, 1.95650000e+01, 1.05875000e+01, 2.27500000e-01,\n", - " 7.47250000e+00, 3.88500000e+00, 1.75000000e-02, 7.52500000e-01,\n", - " 4.20000000e-01, 3.57000000e+00, 5.25000000e+00, 7.21000000e+00,\n", - " 4.90000000e-01, 1.40175000e+01, 2.39750000e+00, 1.01500000e+01,\n", - " 1.31250000e+00, 1.83750000e+00, 7.82250000e+00, 5.91500000e+00,\n", - " 2.43250000e+00, 2.78250000e+00, 0.00000000e+00, 1.75000000e+00,\n", - " 1.55750000e+00, 2.10000000e-01, 1.05000000e-01, 1.92500000e-01,\n", - " 2.97500000e-01, 5.60000000e-01, 1.15500000e+00, 7.87500000e-01,\n", - " 6.65000000e-01, 3.13250000e+00, 3.41250000e+00, 7.00000000e-02,\n", - " 6.82500000e-01, 9.45000000e-01, 4.20000000e-01, 6.47500000e-01,\n", - " 3.50000000e-01, 1.13750000e+00, 2.92250000e+00, 4.20000000e-01,\n", - " 3.32500000e-01, 1.91800000e+01, 7.52500000e-01, 6.47500000e-01,\n", - " 5.60000000e-01, 3.58750000e+00, 8.22500000e-01, 2.97500000e-01,\n", - " 2.52000000e+00, 6.65000000e-01, 4.63750000e+00, 1.22500000e+00,\n", - " 1.04825000e+01, 7.57750000e+00, 7.17500000e+00, 6.47500000e-01,\n", - " 7.00000000e-02, 8.22500000e-01, 1.92500000e-01, 4.72500000e-01,\n", - " 9.73000000e+00, 5.07500000e-01, 5.25000000e-02, 2.80000000e-01,\n", - " 6.51000000e+00, 1.64500000e+00, 3.85000000e-01, 1.33000000e+00,\n", - " 6.44000000e+00, 1.16900000e+01, 2.14200000e+01, 2.48500000e+00,\n", - " 1.12700000e+01, 1.51375000e+01, 1.31250000e+00, 6.82500000e-01,\n", - " 1.83750000e+00, 2.56900000e+01, 1.37200000e+01, 7.00000000e-02,\n", - " 7.87500000e-01, 1.15500000e+00, 4.90000000e-01, 2.24000000e+00,\n", - " 1.01500000e+00, 1.75000000e+00, 1.94250000e+00, 1.03425000e+01,\n", - " 2.43250000e+00, 1.40000000e-01, 2.94000000e+00, 4.63750000e+00,\n", - " 2.78250000e+00, 2.43250000e+00, 1.57500000e-01, 1.34750000e+00,\n", - " 8.22500000e-01, 2.97500000e-01, 1.57500000e-01, 1.29325000e+01,\n", - " 9.45000000e-01, 3.67500000e-01, 1.22500000e+00, 2.34500000e+00,\n", - " 1.38425000e+01, 7.73500000e+00, 1.20750000e+00, 1.68000000e+00,\n", - " 6.79000000e+00, 9.62500000e-01, 1.64500000e+00, 5.25000000e+00,\n", - " 4.44500000e+00, 6.47500000e-01, 8.06750000e+00, 7.35000000e-01,\n", - " 1.60650000e+01, 8.57500000e-01, 2.57250000e+00, 1.22500000e-01,\n", - " 8.75000000e-02, 2.27500000e-01, 1.33000000e+00, 8.92500000e-01,\n", - " 1.43500000e+00, 7.87500000e-01, 6.12500000e-01, 7.52500000e-01,\n", - " 2.64250000e+00, 9.10000000e-01, 3.67500000e-01, 3.50000000e+00,\n", - " 2.97500000e-01, 1.12350000e+01, 2.71250000e+00, 2.76500000e+00,\n", - " 6.47500000e-01, 1.01500000e+00, 3.85000000e-01, 1.24950000e+01,\n", - " 4.90000000e-01, 2.27500000e-01, 2.60750000e+00, 2.31700000e+01,\n", - " 3.50000000e-01, 5.60000000e-01, 7.00000000e-02, 1.07100000e+01,\n", - " 1.75000000e-01, 2.41500000e+00, 3.50000000e-01, 9.64250000e+00,\n", - " 3.92000000e+00, 1.57500000e-01, 3.50000000e-02, 6.47500000e+00,\n", - " 1.22500000e-01, 1.06750000e+00, 3.57000000e+00, 9.45000000e-01,\n", - " 4.32250000e+00, 1.45250000e+00, 3.08000000e+00, 4.90000000e-01,\n", - " 9.10000000e-01, 1.57500000e-01, 1.33175000e+01, 1.36500000e+01,\n", - " 2.95750000e+00, 7.26250000e+00, 1.49100000e+01, 5.77500000e-01,\n", - " 8.75000000e-02, 2.97500000e-01, 6.12500000e-01, 7.87500000e-01,\n", - " 2.62500000e-01, 1.05000000e-01, 5.77500000e-01, 1.40000000e+00,\n", - " 1.94250000e+00, 5.77500000e-01, 3.15000000e-01, 2.97500000e-01,\n", - " 4.02500000e-01, 5.25000000e-02, 1.29500000e+00, 6.65000000e-01,\n", - " 3.15000000e-01, 1.62750000e+00, 1.40000000e-01, 2.50250000e+00,\n", - " 4.27000000e+00, 1.55750000e+00, 4.06000000e+00, 7.36750000e+00,\n", - " 2.32750000e+00, 1.12000000e+01, 1.22500000e+00, 2.15250000e+00,\n", - " 4.20000000e+00, 1.69750000e+00, 8.05000000e-01, 1.01500000e+00,\n", - " 4.55000000e-01, 5.77500000e-01, 1.75000000e-02, 6.47500000e-01,\n", - " 2.97500000e-01, 1.57500000e-01, 7.17500000e-01, 3.27250000e+00,\n", - " 7.70000000e-01, 6.30000000e-01, 2.62500000e-01, 1.13750000e+00,\n", - " 7.49000000e+00, 3.16750000e+00, 8.57500000e-01, 2.08250000e+00,\n", - " 6.12500000e-01, 1.54000000e+01, 1.08500000e+00, 5.23250000e+00,\n", - " 1.05000000e+00, 1.33000000e+00, 5.42500000e-01, 1.54000000e+00,\n", - " 8.05000000e-01, 5.77500000e-01, 1.96000000e+00, 1.05000000e-01,\n", - " 3.15000000e-01, 8.22500000e-01, 6.12500000e-01, 8.05000000e-01,\n", - " 2.27500000e-01, 1.17250000e+00, 7.00000000e+00, 2.01250000e+00,\n", - " 3.16750000e+00, 1.90750000e+00, 1.10250000e+00, 2.41500000e+00,\n", - " 8.06750000e+00, 6.14250000e+00, 4.55000000e-01, 1.82000000e+00,\n", - " 9.27500000e-01, 1.20750000e+00, 2.73000000e+00, 5.19750000e+00,\n", - " 5.25000000e-02, 8.75000000e-02, 6.17750000e+00, 6.37000000e+00,\n", - " 9.80000000e-01, 1.22500000e-01, 6.82500000e-01, 4.55000000e-01,\n", - " 5.25000000e-02, 1.22500000e-01, 5.25000000e-01, 6.12500000e-01,\n", - " 6.94750000e+00, 3.36000000e+00, 3.67500000e-01, 1.03250000e+00,\n", - " 7.21000000e+00, 4.20000000e-01, 1.30900000e+01, 6.30000000e-01,\n", - " 9.43250000e+00, 8.57500000e-01, 3.72750000e+00, 7.00000000e-02,\n", - " 2.27500000e-01, 5.95000000e-01, 2.45000000e-01, 3.97250000e+00,\n", - " 2.41500000e+00, 1.90750000e+00, 2.80000000e-01, 7.52500000e-01,\n", - " 5.25000000e-02, 3.22000000e+00, 8.92500000e-01, 1.05000000e-01,\n", - " 1.47000000e+00, 5.12750000e+00, 1.82000000e+00, 1.75000000e-02,\n", - " 7.59500000e+00, 5.25000000e-01, 5.35500000e+00, 8.75000000e-02,\n", - " 5.25000000e-02, 6.82500000e-01, 3.18500000e+00, 4.90000000e-01,\n", - " 1.33000000e+00, 3.09750000e+00, 1.57500000e-01, 2.10000000e-01,\n", - " 1.10600000e+01, 7.00000000e-02, 7.00000000e-02, 5.60000000e-01,\n", - " 6.47500000e-01, 5.60000000e-01, 1.92500000e-01, 9.45000000e-01,\n", - " 8.05000000e-01, 1.12000000e+00, 8.40000000e-01, 2.41500000e+00,\n", - " 4.35750000e+00, 3.32500000e-01, 1.75000000e-01, 4.55000000e-01,\n", - " 7.52500000e-01, 7.70000000e-01, 2.52000000e+00, 2.97500000e-01,\n", - " 1.57500000e-01, 8.57500000e-01, 4.46250000e+00, 1.45250000e+00,\n", - " 8.22500000e-01, 3.10100000e+01, 3.50000000e-02, 3.85000000e-01,\n", - " 3.67500000e-01, 1.05000000e-01, 1.22500000e-01, 1.57500000e-01,\n", - " 1.40000000e-01, 1.01500000e+00, 2.45000000e-01, 3.25500000e+00,\n", - " 1.68350000e+01, 9.62500000e-01, 3.32500000e-01, 1.13750000e+00,\n", - " 6.07250000e+00, 4.72500000e-01, 2.97500000e-01, 1.31250000e+00,\n", - " 2.62500000e-01, 1.52250000e+00, 2.59000000e+00, 2.11750000e+00,\n", - " 1.92500000e-01, 9.80000000e-01, 6.82500000e-01, 5.07500000e-01,\n", - " 8.22500000e-01, 4.58500000e+00, 9.80000000e-01, 1.59250000e+00,\n", - " 2.59000000e+00, 3.15000000e+00, 2.45000000e-01, 7.00000000e-01,\n", - " 2.90500000e+00, 2.66000000e+00, 9.48500000e+00, 2.27500000e-01,\n", - " 3.48250000e+00, 4.20000000e-01, 1.03250000e+00, 1.45250000e+00,\n", - " 3.50000000e-01, 1.45250000e+00, 5.25000000e-01, 4.37500000e-01,\n", - " 1.22500000e+00, 1.38250000e+00, 3.15000000e-01, 1.40000000e-01,\n", - " 1.12000000e+00, 1.97750000e+00, 1.24250000e+00, 8.22500000e-01,\n", - " 4.72500000e-01, 5.25000000e-02, 1.99500000e+00, 5.61750000e+00,\n", - " 7.52500000e-01, 3.85000000e-01, 1.75000000e-02, 1.15500000e+00,\n", - " 8.22500000e-01, 2.62500000e-01, 3.15000000e-01, 1.38250000e+00,\n", - " 4.20000000e-01, 8.96000000e+00, 8.22500000e-01, 3.15000000e-01,\n", - " 0.00000000e+00, 1.78500000e+00, 4.20000000e-01, 5.60000000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.50056841e+03, -2.52731782e+03, -2.04391993e+01, -1.21901009e+02,\n", - " 0.00000000e+00, 0.00000000e+00, -1.50748652e+02, 0.00000000e+00,\n", - " 0.00000000e+00, -6.11562345e+01, -4.18908967e+02, -8.27509921e+02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 1.17250000e+00, 5.47750000e+00, 1.06925000e+01, 7.57750000e+00,\n", - " 4.02500000e-01, 7.35000000e-01, 4.90000000e-01, 1.03250000e+00,\n", - " 1.69750000e+00, 2.62500000e-01, 1.03250000e+00, 8.22500000e-01,\n", - " 1.84100000e+01, 7.00000000e-02, 2.45000000e-01, 1.57500000e-01,\n", - " 9.18750000e+00, 6.61500000e+00, 9.97500000e-01, 1.55750000e+00,\n", - " 3.67500000e-01, 1.92500000e-01, 1.05000000e-01, 0.00000000e+00,\n", - " 3.50000000e-01, 1.15500000e+00, 8.75000000e-02, 6.73750000e+00,\n", - " 1.31250000e+00, 5.40750000e+00, 2.87000000e+00, 2.18750000e+00,\n", - " 2.41500000e+00, 1.05000000e-01, 0.00000000e+00, 1.22500000e-01,\n", - " 1.36500000e+00, 6.30000000e-01, 3.15000000e-01, 2.27500000e-01,\n", - " 7.87500000e-01, 7.35000000e-01, 1.97750000e+00, 4.16500000e+00,\n", - " 6.65000000e-01, 6.91250000e+00, 2.18750000e+00, 8.80250000e+00,\n", - " 1.10250000e+00, 3.07650000e+01, 1.92500000e-01, 2.45000000e-01,\n", - " 8.05000000e-01, 5.77500000e-01, 1.29500000e+00, 3.15000000e-01,\n", - " 1.15500000e+00, 9.20500000e+00, 1.59775000e+01, 4.28750000e+00,\n", - " 2.99250000e+00, 2.62500000e+00, 1.05000000e+00, 4.48000000e+00,\n", - " 5.42500000e-01, 4.37500000e-01, 4.27000000e+00, 3.64000000e+00,\n", - " 1.75000000e-01, 0.00000000e+00, 8.05000000e-01, 8.22500000e-01,\n", - " 7.00000000e-02, 1.92500000e-01, 1.47000000e+00, 3.01000000e+00,\n", - " 1.78500000e+00, 5.77500000e-01, 5.95000000e-01, 4.41000000e+00,\n", - " 1.02550000e+01, 9.11750000e+00, 1.99500000e+00, 3.22000000e+00,\n", - " 3.76250000e+00, 4.20000000e+00, 4.72500000e-01, 9.80000000e-01,\n", - " 1.75000000e-01, 2.10000000e-01, 3.15000000e-01, 0.00000000e+00,\n", - " 8.75000000e-02, 2.45000000e-01, 3.55250000e+00, 9.27500000e-01,\n", - " 1.05000000e-01, 0.00000000e+00, 2.62500000e-01, 2.85250000e+00,\n", - " 2.27500000e+00, 8.12000000e+00, 1.06400000e+01, 1.97750000e+00,\n", - " 3.15000000e-01, 1.57500000e-01, 8.22500000e-01, 1.57500000e-01,\n", - " 4.70750000e+00, 3.65750000e+00, 1.12000000e+00, 9.10000000e-01,\n", - " 9.53750000e+00, 1.92500000e+00, 0.00000000e+00, 4.60250000e+00,\n", - " 3.02750000e+00, 1.49450000e+01, 2.41500000e+00, 7.15750000e+00,\n", - " 1.48750000e+00, 2.03000000e+00, 5.54750000e+00, 9.31000000e+00,\n", - " 8.33000000e+00, 1.66775000e+01, 2.48500000e+00, 1.06750000e+00,\n", - " 7.08750000e+00, 8.78500000e+00, 2.99250000e+00, 1.64500000e+00,\n", - " 3.50000000e-01, 1.40000000e+00, 2.60750000e+00, 1.82000000e+00,\n", - " 1.54000000e+00, 4.55000000e+00, 1.29500000e+00, 4.37500000e-01,\n", - " 8.69750000e+00, 7.40250000e+00, 6.49250000e+00, 6.79000000e+00,\n", - " 1.03250000e+00, 1.17250000e+00, 2.27500000e-01, 6.12500000e-01,\n", - " 1.26000000e+00, 2.41500000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.73775000e+01, 2.52700000e+01, 5.48625000e+01, 1.43500000e+00,\n", - " 1.57500000e+00, 8.57500000e-01, 1.92500000e-01, 2.10000000e-01,\n", - " 5.25000000e-01, 4.55000000e-01, 2.81750000e+00, 2.57250000e+00,\n", - " 2.41500000e+00, 7.00000000e-01, 1.81300000e+01, 3.31975000e+01,\n", - " 5.07500000e-01, 4.37500000e-01, 1.17250000e+00, 4.72500000e-01,\n", - " 5.25000000e-01, 1.24250000e+00, 2.34500000e+00, 8.40000000e-01,\n", - " 1.19000000e+00, 1.22500000e+00, 1.57500000e-01, 2.99250000e+00,\n", - " 3.85000000e-01, 9.27500000e-01, 1.10250000e+00, 2.85250000e+00,\n", - " 2.22250000e+00, 1.92500000e-01, 3.30750000e+00, 9.97500000e-01,\n", - " 7.17500000e-01, 7.87500000e-01, 1.85500000e+00, 9.45000000e-01,\n", - " 2.04750000e+00, 1.05000000e-01, 9.62500000e-01, 5.95000000e-01,\n", - " 8.40000000e-01, 2.97500000e-01, 3.42825000e+01, 8.75000000e-01,\n", - " 7.70000000e-01, 3.50000000e+01, 1.26000000e+00, 2.27500000e-01,\n", - " 0.00000000e+00, 2.27500000e-01, 1.05000000e-01, 8.75000000e-01,\n", - " 1.20750000e+00, 2.45000000e-01, 9.27500000e-01, 1.15500000e+01,\n", - " 7.36750000e+00, 8.90750000e+00, 3.10800000e+01, 2.69850000e+01,\n", - " 7.35000000e-01, 4.20000000e-01, 7.07000000e+00, 4.55000000e+00,\n", - " 1.53825000e+01, 1.09200000e+01, 1.57500000e-01, 3.85000000e+00,\n", - " 1.10250000e+00, 1.56275000e+01, 8.75000000e-02, 1.22500000e-01,\n", - " 1.92500000e-01, 8.75000000e-02, 5.51250000e+00, 4.35750000e+00,\n", - " 4.37500000e+00, 1.37375000e+01, 7.17500000e-01, 1.75000000e-01,\n", - " 6.84250000e+00, 2.27500000e-01, 7.17500000e-01, 1.10425000e+01,\n", - " 7.52500000e-01, 7.00000000e-01, 6.65000000e-01, 7.70000000e-01,\n", - " 4.02500000e-01, 8.94250000e+00, 5.07500000e+00, 1.57500000e+00,\n", - " 2.39750000e+00, 8.40000000e-01, 1.57500000e-01, 4.48000000e+00,\n", - " 2.80000000e+00, 6.38750000e+00, 6.30000000e-01, 1.12000000e+00,\n", - " 4.02500000e-01, 6.47500000e-01, 1.31250000e+00, 5.02250000e+00,\n", - " 1.41750000e+00, 5.16250000e+00, 1.97750000e+00, 7.35000000e-01,\n", - " 1.54000000e+00, 2.64250000e+00, 4.41000000e+00, 1.20400000e+01,\n", - " 1.34750000e+00, 6.38750000e+00, 5.95000000e-01, 5.77500000e-01,\n", - " 1.57500000e+00, 3.20250000e+00, 1.22500000e+00, 3.64000000e+00,\n", - " 2.45000000e-01, 8.22500000e-01, 4.55000000e+00, 2.38000000e+00,\n", - " 2.97500000e-01, 5.42500000e-01, 1.90750000e+00, 1.10250000e+00,\n", - " 2.08250000e+00, 1.40000000e+00, 1.92500000e-01, 6.12500000e-01,\n", - " 1.40000000e-01, 1.75000000e-02, 7.10500000e+00, 9.50250000e+00,\n", - " 4.55000000e-01, 3.32500000e-01, 2.10175000e+01, 9.48500000e+00,\n", - " 1.80250000e+00, 7.10500000e+00, 1.10250000e+00, 3.71000000e+00,\n", - " 4.90000000e-01, 4.37500000e-01, 4.95250000e+00, 5.95000000e-01,\n", - " 2.27500000e-01, 3.44750000e+00, 1.94250000e+00, 9.10000000e-01,\n", - " 8.01500000e+00, 2.80000000e-01, 6.47500000e-01, 3.32500000e-01,\n", - " 4.72500000e-01, 1.75000000e-01, 1.09375000e+01, 5.70500000e+00,\n", - " 6.47500000e-01, 2.97500000e-01, 4.65500000e+00, 4.90000000e-01,\n", - " 2.32750000e+00, 1.75000000e-02, 2.15250000e+00, 2.76500000e+00,\n", - " 7.87500000e-01, 2.60750000e+00, 4.37500000e-01, 1.39125000e+01,\n", - " 5.95000000e-01, 5.77500000e-01, 5.42500000e-01, 2.00200000e+01,\n", - " 6.12500000e-01, 1.45250000e+00, 1.57500000e-01, 8.75000000e-02,\n", - " 4.84750000e+00, 1.73250000e+00, 1.40000000e-01, 0.00000000e+00,\n", - " 6.16000000e+00, 3.18500000e+00, 9.17000000e+00, 3.99000000e+00,\n", - " 1.05000000e-01, 7.00000000e-02, 5.25000000e-01, 2.38000000e+00,\n", - " 2.81750000e+00, 4.37500000e-01, 0.00000000e+00, 1.57500000e-01,\n", - " 1.64500000e+00, 3.15000000e-01, 5.60000000e-01, 9.27500000e-01,\n", - " 6.14250000e+00, 4.02500000e+00, 1.22500000e-01, 4.20000000e-01,\n", - " 2.27500000e-01, 1.75000000e-01, 1.75000000e-01, 5.25000000e-01,\n", - " 5.25000000e-01, 6.73750000e+00, 6.42250000e+00, 4.90000000e-01,\n", - " 6.82500000e-01, 2.62500000e-01, 1.92500000e-01, 5.77500000e-01,\n", - " 1.75000000e-01, 1.75000000e-01, 1.19000000e+00, 9.10000000e-01,\n", - " 1.24250000e+00, 1.55750000e+00, 1.32825000e+01, 2.73000000e+00,\n", - " 2.41500000e+00, 2.52000000e+00, 4.70750000e+00, 3.50000000e-01,\n", - " 2.27500000e+00, 6.49250000e+00, 4.55000000e-01, 1.84800000e+01,\n", - " 1.38425000e+01, 8.48750000e+00, 9.45000000e-01, 2.62500000e-01,\n", - " 1.54875000e+01, 3.92000000e+00, 6.52750000e+00, 1.43500000e+00,\n", - " 3.32500000e-01, 5.35500000e+00, 4.30500000e+00, 1.75000000e-01,\n", - " 7.00000000e-02, 5.25000000e-02, 1.57500000e+00, 7.00000000e-02,\n", - " 7.29750000e+00, 1.56450000e+01, 7.00000000e-01, 1.43500000e+00,\n", - " 3.22000000e+00, 8.75000000e-02, 4.02500000e-01, 4.72500000e+00,\n", - " 5.07500000e-01, 8.40000000e-01, 1.80250000e+00, 9.81750000e+00,\n", - " 5.40750000e+00, 1.12000000e+00, 1.76750000e+00, 2.34500000e+00,\n", - " 2.62500000e-01, 1.19000000e+00, 1.50500000e+00, 6.30000000e-01,\n", - " 8.75000000e-02, 9.45000000e-01, 4.55000000e-01, 4.37500000e-01,\n", - " 9.97500000e-01, 1.24250000e+00, 1.83750000e+00, 4.90000000e-01,\n", - " 5.25000000e-02, 6.65000000e-01, 8.45250000e+00, 4.72500000e-01,\n", - " 4.13000000e+00, 4.20000000e-01, 1.50500000e+00, 8.57500000e+00,\n", - " 1.34575000e+01, 3.01000000e+00, 5.74000000e+00, 6.65000000e-01,\n", - " 6.12500000e-01, 4.37500000e-01, 3.20250000e+00, 5.25000000e-01,\n", - " 5.60000000e-01, 3.15000000e-01, 8.75000000e-01, 8.40000000e-01,\n", - " 8.92500000e+00, 2.57250000e+00, 1.01500000e+00, 1.75000000e-02,\n", - " 8.57500000e-01, 3.23750000e+00, 3.72750000e+00, 3.50000000e+00,\n", - " 3.32500000e-01, 1.29500000e+00, 2.45000000e+00, 4.37500000e-01,\n", - " 1.10250000e+00, 6.65000000e-01, 2.97500000e-01, 4.90000000e-01,\n", - " 1.06750000e+00, 8.22500000e-01, 7.17500000e-01, 1.40000000e-01,\n", - " 5.26750000e+00, 6.70250000e+00, 2.62500000e-01, 2.80000000e-01,\n", - " 6.12500000e-01, 1.95650000e+01, 1.05875000e+01, 2.27500000e-01,\n", - " 7.47250000e+00, 3.88500000e+00, 1.75000000e-02, 7.52500000e-01,\n", - " 4.20000000e-01, 3.57000000e+00, 5.25000000e+00, 7.21000000e+00,\n", - " 4.90000000e-01, 1.40175000e+01, 2.39750000e+00, 1.01500000e+01,\n", - " 1.31250000e+00, 1.83750000e+00, 7.82250000e+00, 5.91500000e+00,\n", - " 2.43250000e+00, 2.78250000e+00, 0.00000000e+00, 1.75000000e+00,\n", - " 1.55750000e+00, 2.10000000e-01, 1.05000000e-01, 1.92500000e-01,\n", - " 2.97500000e-01, 5.60000000e-01, 1.15500000e+00, 7.87500000e-01,\n", - " 6.65000000e-01, 3.13250000e+00, 3.41250000e+00, 7.00000000e-02,\n", - " 6.82500000e-01, 9.45000000e-01, 4.20000000e-01, 6.47500000e-01,\n", - " 3.50000000e-01, 1.13750000e+00, 2.92250000e+00, 4.20000000e-01,\n", - " 3.32500000e-01, 1.91800000e+01, 7.52500000e-01, 6.47500000e-01,\n", - " 5.60000000e-01, 3.58750000e+00, 8.22500000e-01, 2.97500000e-01,\n", - " 2.52000000e+00, 6.65000000e-01, 4.63750000e+00, 1.22500000e+00,\n", - " 1.04825000e+01, 7.57750000e+00, 7.17500000e+00, 6.47500000e-01,\n", - " 7.00000000e-02, 8.22500000e-01, 1.92500000e-01, 4.72500000e-01,\n", - " 9.73000000e+00, 5.07500000e-01, 5.25000000e-02, 2.80000000e-01,\n", - " 6.51000000e+00, 1.64500000e+00, 3.85000000e-01, 1.33000000e+00,\n", - " 6.44000000e+00, 1.16900000e+01, 2.14200000e+01, 2.48500000e+00,\n", - " 1.12700000e+01, 1.51375000e+01, 1.31250000e+00, 6.82500000e-01,\n", - " 1.83750000e+00, 2.56900000e+01, 1.37200000e+01, 7.00000000e-02,\n", - " 7.87500000e-01, 1.15500000e+00, 4.90000000e-01, 2.24000000e+00,\n", - " 1.01500000e+00, 1.75000000e+00, 1.94250000e+00, 1.03425000e+01,\n", - " 2.43250000e+00, 1.40000000e-01, 2.94000000e+00, 4.63750000e+00,\n", - " 2.78250000e+00, 2.43250000e+00, 1.57500000e-01, 1.34750000e+00,\n", - " 8.22500000e-01, 2.97500000e-01, 1.57500000e-01, 1.29325000e+01,\n", - " 9.45000000e-01, 3.67500000e-01, 1.22500000e+00, 2.34500000e+00,\n", - " 1.38425000e+01, 7.73500000e+00, 1.20750000e+00, 1.68000000e+00,\n", - " 6.79000000e+00, 9.62500000e-01, 1.64500000e+00, 5.25000000e+00,\n", - " 4.44500000e+00, 6.47500000e-01, 8.06750000e+00, 7.35000000e-01,\n", - " 1.60650000e+01, 8.57500000e-01, 2.57250000e+00, 1.22500000e-01,\n", - " 8.75000000e-02, 2.27500000e-01, 1.33000000e+00, 8.92500000e-01,\n", - " 1.43500000e+00, 7.87500000e-01, 6.12500000e-01, 7.52500000e-01,\n", - " 2.64250000e+00, 9.10000000e-01, 3.67500000e-01, 3.50000000e+00,\n", - " 2.97500000e-01, 1.12350000e+01, 2.71250000e+00, 2.76500000e+00,\n", - " 6.47500000e-01, 1.01500000e+00, 3.85000000e-01, 1.24950000e+01,\n", - " 4.90000000e-01, 2.27500000e-01, 2.60750000e+00, 2.31700000e+01,\n", - " 3.50000000e-01, 5.60000000e-01, 7.00000000e-02, 1.07100000e+01,\n", - " 1.75000000e-01, 2.41500000e+00, 3.50000000e-01, 9.64250000e+00,\n", - " 3.92000000e+00, 1.57500000e-01, 3.50000000e-02, 6.47500000e+00,\n", - " 1.22500000e-01, 1.06750000e+00, 3.57000000e+00, 9.45000000e-01,\n", - " 4.32250000e+00, 1.45250000e+00, 3.08000000e+00, 4.90000000e-01,\n", - " 9.10000000e-01, 1.57500000e-01, 1.33175000e+01, 1.36500000e+01,\n", - " 2.95750000e+00, 7.26250000e+00, 1.49100000e+01, 5.77500000e-01,\n", - " 8.75000000e-02, 2.97500000e-01, 6.12500000e-01, 7.87500000e-01,\n", - " 2.62500000e-01, 1.05000000e-01, 5.77500000e-01, 1.40000000e+00,\n", - " 1.94250000e+00, 5.77500000e-01, 3.15000000e-01, 2.97500000e-01,\n", - " 4.02500000e-01, 5.25000000e-02, 1.29500000e+00, 6.65000000e-01,\n", - " 3.15000000e-01, 1.62750000e+00, 1.40000000e-01, 2.50250000e+00,\n", - " 4.27000000e+00, 1.55750000e+00, 4.06000000e+00, 7.36750000e+00,\n", - " 2.32750000e+00, 1.12000000e+01, 1.22500000e+00, 2.15250000e+00,\n", - " 4.20000000e+00, 1.69750000e+00, 8.05000000e-01, 1.01500000e+00,\n", - " 4.55000000e-01, 5.77500000e-01, 1.75000000e-02, 6.47500000e-01,\n", - " 2.97500000e-01, 1.57500000e-01, 7.17500000e-01, 3.27250000e+00,\n", - " 7.70000000e-01, 6.30000000e-01, 2.62500000e-01, 1.13750000e+00,\n", - " 7.49000000e+00, 3.16750000e+00, 8.57500000e-01, 2.08250000e+00,\n", - " 6.12500000e-01, 1.54000000e+01, 1.08500000e+00, 5.23250000e+00,\n", - " 1.05000000e+00, 1.33000000e+00, 5.42500000e-01, 1.54000000e+00,\n", - " 8.05000000e-01, 5.77500000e-01, 1.96000000e+00, 1.05000000e-01,\n", - " 3.15000000e-01, 8.22500000e-01, 6.12500000e-01, 8.05000000e-01,\n", - " 2.27500000e-01, 1.17250000e+00, 7.00000000e+00, 2.01250000e+00,\n", - " 3.16750000e+00, 1.90750000e+00, 1.10250000e+00, 2.41500000e+00,\n", - " 8.06750000e+00, 6.14250000e+00, 4.55000000e-01, 1.82000000e+00,\n", - " 9.27500000e-01, 1.20750000e+00, 2.73000000e+00, 5.19750000e+00,\n", - " 5.25000000e-02, 8.75000000e-02, 6.17750000e+00, 6.37000000e+00,\n", - " 9.80000000e-01, 1.22500000e-01, 6.82500000e-01, 4.55000000e-01,\n", - " 5.25000000e-02, 1.22500000e-01, 5.25000000e-01, 6.12500000e-01,\n", - " 6.94750000e+00, 3.36000000e+00, 3.67500000e-01, 1.03250000e+00,\n", - " 7.21000000e+00, 4.20000000e-01, 1.30900000e+01, 6.30000000e-01,\n", - " 9.43250000e+00, 8.57500000e-01, 3.72750000e+00, 7.00000000e-02,\n", - " 2.27500000e-01, 5.95000000e-01, 2.45000000e-01, 3.97250000e+00,\n", - " 2.41500000e+00, 1.90750000e+00, 2.80000000e-01, 7.52500000e-01,\n", - " 5.25000000e-02, 3.22000000e+00, 8.92500000e-01, 1.05000000e-01,\n", - " 1.47000000e+00, 5.12750000e+00, 1.82000000e+00, 1.75000000e-02,\n", - " 7.59500000e+00, 5.25000000e-01, 5.35500000e+00, 8.75000000e-02,\n", - " 5.25000000e-02, 6.82500000e-01, 3.18500000e+00, 4.90000000e-01,\n", - " 1.33000000e+00, 3.09750000e+00, 1.57500000e-01, 2.10000000e-01,\n", - " 1.10600000e+01, 7.00000000e-02, 7.00000000e-02, 5.60000000e-01,\n", - " 6.47500000e-01, 5.60000000e-01, 1.92500000e-01, 9.45000000e-01,\n", - " 8.05000000e-01, 1.12000000e+00, 8.40000000e-01, 2.41500000e+00,\n", - " 4.35750000e+00, 3.32500000e-01, 1.75000000e-01, 4.55000000e-01,\n", - " 7.52500000e-01, 7.70000000e-01, 2.52000000e+00, 2.97500000e-01,\n", - " 1.57500000e-01, 8.57500000e-01, 4.46250000e+00, 1.45250000e+00,\n", - " 8.22500000e-01, 3.10100000e+01, 3.50000000e-02, 3.85000000e-01,\n", - " 3.67500000e-01, 1.05000000e-01, 1.22500000e-01, 1.57500000e-01,\n", - " 1.40000000e-01, 1.01500000e+00, 2.45000000e-01, 3.25500000e+00,\n", - " 1.68350000e+01, 9.62500000e-01, 3.32500000e-01, 1.13750000e+00,\n", - " 6.07250000e+00, 4.72500000e-01, 2.97500000e-01, 1.31250000e+00,\n", - " 2.62500000e-01, 1.52250000e+00, 2.59000000e+00, 2.11750000e+00,\n", - " 1.92500000e-01, 9.80000000e-01, 6.82500000e-01, 5.07500000e-01,\n", - " 8.22500000e-01, 4.58500000e+00, 9.80000000e-01, 1.59250000e+00,\n", - " 2.59000000e+00, 3.15000000e+00, 2.45000000e-01, 7.00000000e-01,\n", - " 2.90500000e+00, 2.66000000e+00, 9.48500000e+00, 2.27500000e-01,\n", - " 3.48250000e+00, 4.20000000e-01, 1.03250000e+00, 1.45250000e+00,\n", - " 3.50000000e-01, 1.45250000e+00, 5.25000000e-01, 4.37500000e-01,\n", - " 1.22500000e+00, 1.38250000e+00, 3.15000000e-01, 1.40000000e-01,\n", - " 1.12000000e+00, 1.97750000e+00, 1.24250000e+00, 8.22500000e-01,\n", - " 4.72500000e-01, 5.25000000e-02, 1.99500000e+00, 5.61750000e+00,\n", - " 7.52500000e-01, 3.85000000e-01, 1.75000000e-02, 1.15500000e+00,\n", - " 8.22500000e-01, 2.62500000e-01, 3.15000000e-01, 1.38250000e+00,\n", - " 4.20000000e-01, 8.96000000e+00, 8.22500000e-01, 3.15000000e-01,\n", - " 0.00000000e+00, 1.78500000e+00, 4.20000000e-01, 5.60000000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.48339463e+03, -2.52731782e+03, -2.56015314e+01, -1.21354352e+02,\n", - " -7.27071097e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, -6.18029200e+01, -4.41256221e+02, -9.26201998e+02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 1.11823000e+00, 5.22397000e+00, 1.01975900e+01, 7.22677000e+00,\n", - " 3.83870000e-01, 7.00980000e-01, 4.67320000e-01, 9.84710000e-01,\n", - " 1.61893000e+00, 2.50350000e-01, 9.84710000e-01, 7.84430000e-01,\n", - " 1.75578800e+01, 6.67600000e-02, 2.33660000e-01, 1.50210000e-01,\n", - " 8.76225000e+00, 6.30882000e+00, 9.51330000e-01, 1.48541000e+00,\n", - " 3.50490000e-01, 1.83590000e-01, 1.00140000e-01, 0.00000000e+00,\n", - " 3.33800000e-01, 1.10154000e+00, 8.34500000e-02, 6.42565000e+00,\n", - " 1.25175000e+00, 5.15721000e+00, 2.73716000e+00, 2.08625000e+00,\n", - " 2.30322000e+00, 1.00140000e-01, 0.00000000e+00, 1.16830000e-01,\n", - " 1.30182000e+00, 6.00840000e-01, 3.00420000e-01, 2.16970000e-01,\n", - " 7.51050000e-01, 7.00980000e-01, 1.88597000e+00, 3.97222000e+00,\n", - " 6.34220000e-01, 6.59255000e+00, 2.08625000e+00, 8.39507000e+00,\n", - " 1.05147000e+00, 2.93410200e+01, 1.83590000e-01, 2.33660000e-01,\n", - " 7.67740000e-01, 5.50770000e-01, 1.23506000e+00, 3.00420000e-01,\n", - " 1.10154000e+00, 8.77894000e+00, 1.52379700e+01, 4.08905000e+00,\n", - " 2.85399000e+00, 2.50350000e+00, 1.00140000e+00, 4.27264000e+00,\n", - " 5.17390000e-01, 4.17250000e-01, 4.07236000e+00, 3.47152000e+00,\n", - " 1.66900000e-01, 0.00000000e+00, 7.67740000e-01, 7.84430000e-01,\n", - " 6.67600000e-02, 1.83590000e-01, 1.40196000e+00, 2.87068000e+00,\n", - " 1.70238000e+00, 5.50770000e-01, 5.67460000e-01, 4.20588000e+00,\n", - " 9.78034000e+00, 8.69549000e+00, 1.90266000e+00, 3.07096000e+00,\n", - " 3.58835000e+00, 4.00560000e+00, 4.50630000e-01, 9.34640000e-01,\n", - " 1.66900000e-01, 2.00280000e-01, 3.00420000e-01, 0.00000000e+00,\n", - " 8.34500000e-02, 2.33660000e-01, 3.38807000e+00, 8.84570000e-01,\n", - " 1.00140000e-01, 0.00000000e+00, 2.50350000e-01, 2.72047000e+00,\n", - " 2.16970000e+00, 7.74416000e+00, 1.01475200e+01, 1.88597000e+00,\n", - " 3.00420000e-01, 1.50210000e-01, 7.84430000e-01, 1.50210000e-01,\n", - " 4.48961000e+00, 3.48821000e+00, 1.06816000e+00, 8.67880000e-01,\n", - " 9.09605000e+00, 1.83590000e+00, 0.00000000e+00, 4.38947000e+00,\n", - " 2.88737000e+00, 1.42532600e+01, 2.30322000e+00, 6.82621000e+00,\n", - " 1.41865000e+00, 1.93604000e+00, 5.29073000e+00, 8.87908000e+00,\n", - " 7.94444000e+00, 1.59055700e+01, 2.36998000e+00, 1.01809000e+00,\n", - " 6.75945000e+00, 8.37838000e+00, 2.85399000e+00, 1.56886000e+00,\n", - " 3.33800000e-01, 1.33520000e+00, 2.48681000e+00, 1.73576000e+00,\n", - " 1.46872000e+00, 4.33940000e+00, 1.23506000e+00, 4.17250000e-01,\n", - " 8.29493000e+00, 7.05987000e+00, 6.19199000e+00, 6.47572000e+00,\n", - " 9.84710000e-01, 1.11823000e+00, 2.16970000e-01, 5.84150000e-01,\n", - " 1.20168000e+00, 2.30322000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.65731700e+01, 2.41003600e+01, 5.23231500e+01, 1.36858000e+00,\n", - " 1.50210000e+00, 8.17810000e-01, 1.83590000e-01, 2.00280000e-01,\n", - " 5.00700000e-01, 4.33940000e-01, 2.68709000e+00, 2.45343000e+00,\n", - " 2.30322000e+00, 6.67600000e-01, 1.72908400e+01, 3.16609300e+01,\n", - " 4.84010000e-01, 4.17250000e-01, 1.11823000e+00, 4.50630000e-01,\n", - " 5.00700000e-01, 1.18499000e+00, 2.23646000e+00, 8.01120000e-01,\n", - " 1.13492000e+00, 1.16830000e+00, 1.50210000e-01, 2.85399000e+00,\n", - " 3.67180000e-01, 8.84570000e-01, 1.05147000e+00, 2.72047000e+00,\n", - " 2.11963000e+00, 1.83590000e-01, 3.15441000e+00, 9.51330000e-01,\n", - " 6.84290000e-01, 7.51050000e-01, 1.76914000e+00, 9.01260000e-01,\n", - " 1.95273000e+00, 1.00140000e-01, 9.17950000e-01, 5.67460000e-01,\n", - " 8.01120000e-01, 2.83730000e-01, 3.26957100e+01, 8.34500000e-01,\n", - " 7.34360000e-01, 3.33800000e+01, 1.20168000e+00, 2.16970000e-01,\n", - " 0.00000000e+00, 2.16970000e-01, 1.00140000e-01, 8.34500000e-01,\n", - " 1.15161000e+00, 2.33660000e-01, 8.84570000e-01, 1.10154000e+01,\n", - " 7.02649000e+00, 8.49521000e+00, 2.96414400e+01, 2.57359800e+01,\n", - " 7.00980000e-01, 4.00560000e-01, 6.74276000e+00, 4.33940000e+00,\n", - " 1.46705100e+01, 1.04145600e+01, 1.50210000e-01, 3.67180000e+00,\n", - " 1.05147000e+00, 1.49041700e+01, 8.34500000e-02, 1.16830000e-01,\n", - " 1.83590000e-01, 8.34500000e-02, 5.25735000e+00, 4.15581000e+00,\n", - " 4.17250000e+00, 1.31016500e+01, 6.84290000e-01, 1.66900000e-01,\n", - " 6.52579000e+00, 2.16970000e-01, 6.84290000e-01, 1.05313900e+01,\n", - " 7.17670000e-01, 6.67600000e-01, 6.34220000e-01, 7.34360000e-01,\n", - " 3.83870000e-01, 8.52859000e+00, 4.84010000e+00, 1.50210000e+00,\n", - " 2.28653000e+00, 8.01120000e-01, 1.50210000e-01, 4.27264000e+00,\n", - " 2.67040000e+00, 6.09185000e+00, 6.00840000e-01, 1.06816000e+00,\n", - " 3.83870000e-01, 6.17530000e-01, 1.25175000e+00, 4.79003000e+00,\n", - " 1.35189000e+00, 4.92355000e+00, 1.88597000e+00, 7.00980000e-01,\n", - " 1.46872000e+00, 2.52019000e+00, 4.20588000e+00, 1.14827200e+01,\n", - " 1.28513000e+00, 6.09185000e+00, 5.67460000e-01, 5.50770000e-01,\n", - " 1.50210000e+00, 3.05427000e+00, 1.16830000e+00, 3.47152000e+00,\n", - " 2.33660000e-01, 7.84430000e-01, 4.33940000e+00, 2.26984000e+00,\n", - " 2.83730000e-01, 5.17390000e-01, 1.81921000e+00, 1.05147000e+00,\n", - " 1.98611000e+00, 1.33520000e+00, 1.83590000e-01, 5.84150000e-01,\n", - " 1.33520000e-01, 1.66900000e-02, 6.77614000e+00, 9.06267000e+00,\n", - " 4.33940000e-01, 3.17110000e-01, 2.00446900e+01, 9.04598000e+00,\n", - " 1.71907000e+00, 6.77614000e+00, 1.05147000e+00, 3.53828000e+00,\n", - " 4.67320000e-01, 4.17250000e-01, 4.72327000e+00, 5.67460000e-01,\n", - " 2.16970000e-01, 3.28793000e+00, 1.85259000e+00, 8.67880000e-01,\n", - " 7.64402000e+00, 2.67040000e-01, 6.17530000e-01, 3.17110000e-01,\n", - " 4.50630000e-01, 1.66900000e-01, 1.04312500e+01, 5.44094000e+00,\n", - " 6.17530000e-01, 2.83730000e-01, 4.43954000e+00, 4.67320000e-01,\n", - " 2.21977000e+00, 1.66900000e-02, 2.05287000e+00, 2.63702000e+00,\n", - " 7.51050000e-01, 2.48681000e+00, 4.17250000e-01, 1.32685500e+01,\n", - " 5.67460000e-01, 5.50770000e-01, 5.17390000e-01, 1.90933600e+01,\n", - " 5.84150000e-01, 1.38527000e+00, 1.50210000e-01, 8.34500000e-02,\n", - " 4.62313000e+00, 1.65231000e+00, 1.33520000e-01, 0.00000000e+00,\n", - " 5.87488000e+00, 3.03758000e+00, 8.74556000e+00, 3.80532000e+00,\n", - " 1.00140000e-01, 6.67600000e-02, 5.00700000e-01, 2.26984000e+00,\n", - " 2.68709000e+00, 4.17250000e-01, 0.00000000e+00, 1.50210000e-01,\n", - " 1.56886000e+00, 3.00420000e-01, 5.34080000e-01, 8.84570000e-01,\n", - " 5.85819000e+00, 3.83870000e+00, 1.16830000e-01, 4.00560000e-01,\n", - " 2.16970000e-01, 1.66900000e-01, 1.66900000e-01, 5.00700000e-01,\n", - " 5.00700000e-01, 6.42565000e+00, 6.12523000e+00, 4.67320000e-01,\n", - " 6.50910000e-01, 2.50350000e-01, 1.83590000e-01, 5.50770000e-01,\n", - " 1.66900000e-01, 1.66900000e-01, 1.13492000e+00, 8.67880000e-01,\n", - " 1.18499000e+00, 1.48541000e+00, 1.26677100e+01, 2.60364000e+00,\n", - " 2.30322000e+00, 2.40336000e+00, 4.48961000e+00, 3.33800000e-01,\n", - " 2.16970000e+00, 6.19199000e+00, 4.33940000e-01, 1.76246400e+01,\n", - " 1.32017900e+01, 8.09465000e+00, 9.01260000e-01, 2.50350000e-01,\n", - " 1.47706500e+01, 3.73856000e+00, 6.22537000e+00, 1.36858000e+00,\n", - " 3.17110000e-01, 5.10714000e+00, 4.10574000e+00, 1.66900000e-01,\n", - " 6.67600000e-02, 5.00700000e-02, 1.50210000e+00, 6.67600000e-02,\n", - " 6.95973000e+00, 1.49208600e+01, 6.67600000e-01, 1.36858000e+00,\n", - " 3.07096000e+00, 8.34500000e-02, 3.83870000e-01, 4.50630000e+00,\n", - " 4.84010000e-01, 8.01120000e-01, 1.71907000e+00, 9.36309000e+00,\n", - " 5.15721000e+00, 1.06816000e+00, 1.68569000e+00, 2.23646000e+00,\n", - " 2.50350000e-01, 1.13492000e+00, 1.43534000e+00, 6.00840000e-01,\n", - " 8.34500000e-02, 9.01260000e-01, 4.33940000e-01, 4.17250000e-01,\n", - " 9.51330000e-01, 1.18499000e+00, 1.75245000e+00, 4.67320000e-01,\n", - " 5.00700000e-02, 6.34220000e-01, 8.06127000e+00, 4.50630000e-01,\n", - " 3.93884000e+00, 4.00560000e-01, 1.43534000e+00, 8.17810000e+00,\n", - " 1.28346100e+01, 2.87068000e+00, 5.47432000e+00, 6.34220000e-01,\n", - " 5.84150000e-01, 4.17250000e-01, 3.05427000e+00, 5.00700000e-01,\n", - " 5.34080000e-01, 3.00420000e-01, 8.34500000e-01, 8.01120000e-01,\n", - " 8.51190000e+00, 2.45343000e+00, 9.68020000e-01, 1.66900000e-02,\n", - " 8.17810000e-01, 3.08765000e+00, 3.55497000e+00, 3.33800000e+00,\n", - " 3.17110000e-01, 1.23506000e+00, 2.33660000e+00, 4.17250000e-01,\n", - " 1.05147000e+00, 6.34220000e-01, 2.83730000e-01, 4.67320000e-01,\n", - " 1.01809000e+00, 7.84430000e-01, 6.84290000e-01, 1.33520000e-01,\n", - " 5.02369000e+00, 6.39227000e+00, 2.50350000e-01, 2.67040000e-01,\n", - " 5.84150000e-01, 1.86594200e+01, 1.00974500e+01, 2.16970000e-01,\n", - " 7.12663000e+00, 3.70518000e+00, 1.66900000e-02, 7.17670000e-01,\n", - " 4.00560000e-01, 3.40476000e+00, 5.00700000e+00, 6.87628000e+00,\n", - " 4.67320000e-01, 1.33686900e+01, 2.28653000e+00, 9.68020000e+00,\n", - " 1.25175000e+00, 1.75245000e+00, 7.46043000e+00, 5.64122000e+00,\n", - " 2.31991000e+00, 2.65371000e+00, 0.00000000e+00, 1.66900000e+00,\n", - " 1.48541000e+00, 2.00280000e-01, 1.00140000e-01, 1.83590000e-01,\n", - " 2.83730000e-01, 5.34080000e-01, 1.10154000e+00, 7.51050000e-01,\n", - " 6.34220000e-01, 2.98751000e+00, 3.25455000e+00, 6.67600000e-02,\n", - " 6.50910000e-01, 9.01260000e-01, 4.00560000e-01, 6.17530000e-01,\n", - " 3.33800000e-01, 1.08485000e+00, 2.78723000e+00, 4.00560000e-01,\n", - " 3.17110000e-01, 1.82922400e+01, 7.17670000e-01, 6.17530000e-01,\n", - " 5.34080000e-01, 3.42145000e+00, 7.84430000e-01, 2.83730000e-01,\n", - " 2.40336000e+00, 6.34220000e-01, 4.42285000e+00, 1.16830000e+00,\n", - " 9.99731000e+00, 7.22677000e+00, 6.84290000e+00, 6.17530000e-01,\n", - " 6.67600000e-02, 7.84430000e-01, 1.83590000e-01, 4.50630000e-01,\n", - " 9.27964000e+00, 4.84010000e-01, 5.00700000e-02, 2.67040000e-01,\n", - " 6.20868000e+00, 1.56886000e+00, 3.67180000e-01, 1.26844000e+00,\n", - " 6.14192000e+00, 1.11489200e+01, 2.04285600e+01, 2.36998000e+00,\n", - " 1.07483600e+01, 1.44368500e+01, 1.25175000e+00, 6.50910000e-01,\n", - " 1.75245000e+00, 2.45009200e+01, 1.30849600e+01, 6.67600000e-02,\n", - " 7.51050000e-01, 1.10154000e+00, 4.67320000e-01, 2.13632000e+00,\n", - " 9.68020000e-01, 1.66900000e+00, 1.85259000e+00, 9.86379000e+00,\n", - " 2.31991000e+00, 1.33520000e-01, 2.80392000e+00, 4.42285000e+00,\n", - " 2.65371000e+00, 2.31991000e+00, 1.50210000e-01, 1.28513000e+00,\n", - " 7.84430000e-01, 2.83730000e-01, 1.50210000e-01, 1.23339100e+01,\n", - " 9.01260000e-01, 3.50490000e-01, 1.16830000e+00, 2.23646000e+00,\n", - " 1.32017900e+01, 7.37698000e+00, 1.15161000e+00, 1.60224000e+00,\n", - " 6.47572000e+00, 9.17950000e-01, 1.56886000e+00, 5.00700000e+00,\n", - " 4.23926000e+00, 6.17530000e-01, 7.69409000e+00, 7.00980000e-01,\n", - " 1.53214200e+01, 8.17810000e-01, 2.45343000e+00, 1.16830000e-01,\n", - " 8.34500000e-02, 2.16970000e-01, 1.26844000e+00, 8.51190000e-01,\n", - " 1.36858000e+00, 7.51050000e-01, 5.84150000e-01, 7.17670000e-01,\n", - " 2.52019000e+00, 8.67880000e-01, 3.50490000e-01, 3.33800000e+00,\n", - " 2.83730000e-01, 1.07149800e+01, 2.58695000e+00, 2.63702000e+00,\n", - " 6.17530000e-01, 9.68020000e-01, 3.67180000e-01, 1.19166600e+01,\n", - " 4.67320000e-01, 2.16970000e-01, 2.48681000e+00, 2.20975600e+01,\n", - " 3.33800000e-01, 5.34080000e-01, 6.67600000e-02, 1.02142800e+01,\n", - " 1.66900000e-01, 2.30322000e+00, 3.33800000e-01, 9.19619000e+00,\n", - " 3.73856000e+00, 1.50210000e-01, 3.33800000e-02, 6.17530000e+00,\n", - " 1.16830000e-01, 1.01809000e+00, 3.40476000e+00, 9.01260000e-01,\n", - " 4.12243000e+00, 1.38527000e+00, 2.93744000e+00, 4.67320000e-01,\n", - " 8.67880000e-01, 1.50210000e-01, 1.27010900e+01, 1.30182000e+01,\n", - " 2.82061000e+00, 6.92635000e+00, 1.42198800e+01, 5.50770000e-01,\n", - " 8.34500000e-02, 2.83730000e-01, 5.84150000e-01, 7.51050000e-01,\n", - " 2.50350000e-01, 1.00140000e-01, 5.50770000e-01, 1.33520000e+00,\n", - " 1.85259000e+00, 5.50770000e-01, 3.00420000e-01, 2.83730000e-01,\n", - " 3.83870000e-01, 5.00700000e-02, 1.23506000e+00, 6.34220000e-01,\n", - " 3.00420000e-01, 1.55217000e+00, 1.33520000e-01, 2.38667000e+00,\n", - " 4.07236000e+00, 1.48541000e+00, 3.87208000e+00, 7.02649000e+00,\n", - " 2.21977000e+00, 1.06816000e+01, 1.16830000e+00, 2.05287000e+00,\n", - " 4.00560000e+00, 1.61893000e+00, 7.67740000e-01, 9.68020000e-01,\n", - " 4.33940000e-01, 5.50770000e-01, 1.66900000e-02, 6.17530000e-01,\n", - " 2.83730000e-01, 1.50210000e-01, 6.84290000e-01, 3.12103000e+00,\n", - " 7.34360000e-01, 6.00840000e-01, 2.50350000e-01, 1.08485000e+00,\n", - " 7.14332000e+00, 3.02089000e+00, 8.17810000e-01, 1.98611000e+00,\n", - " 5.84150000e-01, 1.46872000e+01, 1.03478000e+00, 4.99031000e+00,\n", - " 1.00140000e+00, 1.26844000e+00, 5.17390000e-01, 1.46872000e+00,\n", - " 7.67740000e-01, 5.50770000e-01, 1.86928000e+00, 1.00140000e-01,\n", - " 3.00420000e-01, 7.84430000e-01, 5.84150000e-01, 7.67740000e-01,\n", - " 2.16970000e-01, 1.11823000e+00, 6.67600000e+00, 1.91935000e+00,\n", - " 3.02089000e+00, 1.81921000e+00, 1.05147000e+00, 2.30322000e+00,\n", - " 7.69409000e+00, 5.85819000e+00, 4.33940000e-01, 1.73576000e+00,\n", - " 8.84570000e-01, 1.15161000e+00, 2.60364000e+00, 4.95693000e+00,\n", - " 5.00700000e-02, 8.34500000e-02, 5.89157000e+00, 6.07516000e+00,\n", - " 9.34640000e-01, 1.16830000e-01, 6.50910000e-01, 4.33940000e-01,\n", - " 5.00700000e-02, 1.16830000e-01, 5.00700000e-01, 5.84150000e-01,\n", - " 6.62593000e+00, 3.20448000e+00, 3.50490000e-01, 9.84710000e-01,\n", - " 6.87628000e+00, 4.00560000e-01, 1.24841200e+01, 6.00840000e-01,\n", - " 8.99591000e+00, 8.17810000e-01, 3.55497000e+00, 6.67600000e-02,\n", - " 2.16970000e-01, 5.67460000e-01, 2.33660000e-01, 3.78863000e+00,\n", - " 2.30322000e+00, 1.81921000e+00, 2.67040000e-01, 7.17670000e-01,\n", - " 5.00700000e-02, 3.07096000e+00, 8.51190000e-01, 1.00140000e-01,\n", - " 1.40196000e+00, 4.89017000e+00, 1.73576000e+00, 1.66900000e-02,\n", - " 7.24346000e+00, 5.00700000e-01, 5.10714000e+00, 8.34500000e-02,\n", - " 5.00700000e-02, 6.50910000e-01, 3.03758000e+00, 4.67320000e-01,\n", - " 1.26844000e+00, 2.95413000e+00, 1.50210000e-01, 2.00280000e-01,\n", - " 1.05480800e+01, 6.67600000e-02, 6.67600000e-02, 5.34080000e-01,\n", - " 6.17530000e-01, 5.34080000e-01, 1.83590000e-01, 9.01260000e-01,\n", - " 7.67740000e-01, 1.06816000e+00, 8.01120000e-01, 2.30322000e+00,\n", - " 4.15581000e+00, 3.17110000e-01, 1.66900000e-01, 4.33940000e-01,\n", - " 7.17670000e-01, 7.34360000e-01, 2.40336000e+00, 2.83730000e-01,\n", - " 1.50210000e-01, 8.17810000e-01, 4.25595000e+00, 1.38527000e+00,\n", - " 7.84430000e-01, 2.95746800e+01, 3.33800000e-02, 3.67180000e-01,\n", - " 3.50490000e-01, 1.00140000e-01, 1.16830000e-01, 1.50210000e-01,\n", - " 1.33520000e-01, 9.68020000e-01, 2.33660000e-01, 3.10434000e+00,\n", - " 1.60557800e+01, 9.17950000e-01, 3.17110000e-01, 1.08485000e+00,\n", - " 5.79143000e+00, 4.50630000e-01, 2.83730000e-01, 1.25175000e+00,\n", - " 2.50350000e-01, 1.45203000e+00, 2.47012000e+00, 2.01949000e+00,\n", - " 1.83590000e-01, 9.34640000e-01, 6.50910000e-01, 4.84010000e-01,\n", - " 7.84430000e-01, 4.37278000e+00, 9.34640000e-01, 1.51879000e+00,\n", - " 2.47012000e+00, 3.00420000e+00, 2.33660000e-01, 6.67600000e-01,\n", - " 2.77054000e+00, 2.53688000e+00, 9.04598000e+00, 2.16970000e-01,\n", - " 3.32131000e+00, 4.00560000e-01, 9.84710000e-01, 1.38527000e+00,\n", - " 3.33800000e-01, 1.38527000e+00, 5.00700000e-01, 4.17250000e-01,\n", - " 1.16830000e+00, 1.31851000e+00, 3.00420000e-01, 1.33520000e-01,\n", - " 1.06816000e+00, 1.88597000e+00, 1.18499000e+00, 7.84430000e-01,\n", - " 4.50630000e-01, 5.00700000e-02, 1.90266000e+00, 5.35749000e+00,\n", - " 7.17670000e-01, 3.67180000e-01, 1.66900000e-02, 1.10154000e+00,\n", - " 7.84430000e-01, 2.50350000e-01, 3.00420000e-01, 1.31851000e+00,\n", - " 4.00560000e-01, 8.54528000e+00, 7.84430000e-01, 3.00420000e-01,\n", - " 0.00000000e+00, 1.70238000e+00, 4.00560000e-01, 5.34080000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.48617312e+03, -2.52731782e+03, -1.76778955e+01, -1.17517925e+02,\n", - " -5.20853949e-01, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, -5.00453413e+01, -4.23942024e+02, -8.54950242e+02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 6.02330000e-01, 2.81387000e+00, 5.49289000e+00, 3.89267000e+00,\n", - " 2.06770000e-01, 3.77580000e-01, 2.51720000e-01, 5.30410000e-01,\n", - " 8.72030000e-01, 1.34850000e-01, 5.30410000e-01, 4.22530000e-01,\n", - " 9.45748000e+00, 3.59600000e-02, 1.25860000e-01, 8.09100000e-02,\n", - " 4.71975000e+00, 3.39822000e+00, 5.12430000e-01, 8.00110000e-01,\n", - " 1.88790000e-01, 9.88900000e-02, 5.39400000e-02, 0.00000000e+00,\n", - " 1.79800000e-01, 5.93340000e-01, 4.49500000e-02, 3.46115000e+00,\n", - " 6.74250000e-01, 2.77791000e+00, 1.47436000e+00, 1.12375000e+00,\n", - " 1.24062000e+00, 5.39400000e-02, 0.00000000e+00, 6.29300000e-02,\n", - " 7.01220000e-01, 3.23640000e-01, 1.61820000e-01, 1.16870000e-01,\n", - " 4.04550000e-01, 3.77580000e-01, 1.01587000e+00, 2.13962000e+00,\n", - " 3.41620000e-01, 3.55105000e+00, 1.12375000e+00, 4.52197000e+00,\n", - " 5.66370000e-01, 1.58044200e+01, 9.88900000e-02, 1.25860000e-01,\n", - " 4.13540000e-01, 2.96670000e-01, 6.65260000e-01, 1.61820000e-01,\n", - " 5.93340000e-01, 4.72874000e+00, 8.20787000e+00, 2.20255000e+00,\n", - " 1.53729000e+00, 1.34850000e+00, 5.39400000e-01, 2.30144000e+00,\n", - " 2.78690000e-01, 2.24750000e-01, 2.19356000e+00, 1.86992000e+00,\n", - " 8.99000000e-02, 0.00000000e+00, 4.13540000e-01, 4.22530000e-01,\n", - " 3.59600000e-02, 9.88900000e-02, 7.55160000e-01, 1.54628000e+00,\n", - " 9.16980000e-01, 2.96670000e-01, 3.05660000e-01, 2.26548000e+00,\n", - " 5.26814000e+00, 4.68379000e+00, 1.02486000e+00, 1.65416000e+00,\n", - " 1.93285000e+00, 2.15760000e+00, 2.42730000e-01, 5.03440000e-01,\n", - " 8.99000000e-02, 1.07880000e-01, 1.61820000e-01, 0.00000000e+00,\n", - " 4.49500000e-02, 1.25860000e-01, 1.82497000e+00, 4.76470000e-01,\n", - " 5.39400000e-02, 0.00000000e+00, 1.34850000e-01, 1.46537000e+00,\n", - " 1.16870000e+00, 4.17136000e+00, 5.46592000e+00, 1.01587000e+00,\n", - " 1.61820000e-01, 8.09100000e-02, 4.22530000e-01, 8.09100000e-02,\n", - " 2.41831000e+00, 1.87891000e+00, 5.75360000e-01, 4.67480000e-01,\n", - " 4.89955000e+00, 9.88900000e-01, 0.00000000e+00, 2.36437000e+00,\n", - " 1.55527000e+00, 7.67746000e+00, 1.24062000e+00, 3.67691000e+00,\n", - " 7.64150000e-01, 1.04284000e+00, 2.84983000e+00, 4.78268000e+00,\n", - " 4.27924000e+00, 8.56747000e+00, 1.27658000e+00, 5.48390000e-01,\n", - " 3.64095000e+00, 4.51298000e+00, 1.53729000e+00, 8.45060000e-01,\n", - " 1.79800000e-01, 7.19200000e-01, 1.33951000e+00, 9.34960000e-01,\n", - " 7.91120000e-01, 2.33740000e+00, 6.65260000e-01, 2.24750000e-01,\n", - " 4.46803000e+00, 3.80277000e+00, 3.33529000e+00, 3.48812000e+00,\n", - " 5.30410000e-01, 6.02330000e-01, 1.16870000e-01, 3.14650000e-01,\n", - " 6.47280000e-01, 1.24062000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 8.92707000e+00, 1.29815600e+01, 2.81836500e+01, 7.37180000e-01,\n", - " 8.09100000e-01, 4.40510000e-01, 9.88900000e-02, 1.07880000e-01,\n", - " 2.69700000e-01, 2.33740000e-01, 1.44739000e+00, 1.32153000e+00,\n", - " 1.24062000e+00, 3.59600000e-01, 9.31364000e+00, 1.70540300e+01,\n", - " 2.60710000e-01, 2.24750000e-01, 6.02330000e-01, 2.42730000e-01,\n", - " 2.69700000e-01, 6.38290000e-01, 1.20466000e+00, 4.31520000e-01,\n", - " 6.11320000e-01, 6.29300000e-01, 8.09100000e-02, 1.53729000e+00,\n", - " 1.97780000e-01, 4.76470000e-01, 5.66370000e-01, 1.46537000e+00,\n", - " 1.14173000e+00, 9.88900000e-02, 1.69911000e+00, 5.12430000e-01,\n", - " 3.68590000e-01, 4.04550000e-01, 9.52940000e-01, 4.85460000e-01,\n", - " 1.05183000e+00, 5.39400000e-02, 4.94450000e-01, 3.05660000e-01,\n", - " 4.31520000e-01, 1.52830000e-01, 1.76114100e+01, 4.49500000e-01,\n", - " 3.95560000e-01, 1.79800000e+01, 6.47280000e-01, 1.16870000e-01,\n", - " 0.00000000e+00, 1.16870000e-01, 5.39400000e-02, 4.49500000e-01,\n", - " 6.20310000e-01, 1.25860000e-01, 4.76470000e-01, 5.93340000e+00,\n", - " 3.78479000e+00, 4.57591000e+00, 1.59662400e+01, 1.38625800e+01,\n", - " 3.77580000e-01, 2.15760000e-01, 3.63196000e+00, 2.33740000e+00,\n", - " 7.90221000e+00, 5.60976000e+00, 8.09100000e-02, 1.97780000e+00,\n", - " 5.66370000e-01, 8.02807000e+00, 4.49500000e-02, 6.29300000e-02,\n", - " 9.88900000e-02, 4.49500000e-02, 2.83185000e+00, 2.23851000e+00,\n", - " 2.24750000e+00, 7.05715000e+00, 3.68590000e-01, 8.99000000e-02,\n", - " 3.51509000e+00, 1.16870000e-01, 3.68590000e-01, 5.67269000e+00,\n", - " 3.86570000e-01, 3.59600000e-01, 3.41620000e-01, 3.95560000e-01,\n", - " 2.06770000e-01, 4.59389000e+00, 2.60710000e+00, 8.09100000e-01,\n", - " 1.23163000e+00, 4.31520000e-01, 8.09100000e-02, 2.30144000e+00,\n", - " 1.43840000e+00, 3.28135000e+00, 3.23640000e-01, 5.75360000e-01,\n", - " 2.06770000e-01, 3.32630000e-01, 6.74250000e-01, 2.58013000e+00,\n", - " 7.28190000e-01, 2.65205000e+00, 1.01587000e+00, 3.77580000e-01,\n", - " 7.91120000e-01, 1.35749000e+00, 2.26548000e+00, 6.18512000e+00,\n", - " 6.92230000e-01, 3.28135000e+00, 3.05660000e-01, 2.96670000e-01,\n", - " 8.09100000e-01, 1.64517000e+00, 6.29300000e-01, 1.86992000e+00,\n", - " 1.25860000e-01, 4.22530000e-01, 2.33740000e+00, 1.22264000e+00,\n", - " 1.52830000e-01, 2.78690000e-01, 9.79910000e-01, 5.66370000e-01,\n", - " 1.06981000e+00, 7.19200000e-01, 9.88900000e-02, 3.14650000e-01,\n", - " 7.19200000e-02, 8.99000000e-03, 3.64994000e+00, 4.88157000e+00,\n", - " 2.33740000e-01, 1.70810000e-01, 1.07969900e+01, 4.87258000e+00,\n", - " 9.25970000e-01, 3.64994000e+00, 5.66370000e-01, 1.90588000e+00,\n", - " 2.51720000e-01, 2.24750000e-01, 2.54417000e+00, 3.05660000e-01,\n", - " 1.16870000e-01, 1.77103000e+00, 9.97890000e-01, 4.67480000e-01,\n", - " 4.11742000e+00, 1.43840000e-01, 3.32630000e-01, 1.70810000e-01,\n", - " 2.42730000e-01, 8.99000000e-02, 5.61875000e+00, 2.93074000e+00,\n", - " 3.32630000e-01, 1.52830000e-01, 2.39134000e+00, 2.51720000e-01,\n", - " 1.19567000e+00, 8.99000000e-03, 1.10577000e+00, 1.42042000e+00,\n", - " 4.04550000e-01, 1.33951000e+00, 2.24750000e-01, 7.14705000e+00,\n", - " 3.05660000e-01, 2.96670000e-01, 2.78690000e-01, 1.02845600e+01,\n", - " 3.14650000e-01, 7.46170000e-01, 8.09100000e-02, 4.49500000e-02,\n", - " 2.49023000e+00, 8.90010000e-01, 7.19200000e-02, 0.00000000e+00,\n", - " 3.16448000e+00, 1.63618000e+00, 4.71076000e+00, 2.04972000e+00,\n", - " 5.39400000e-02, 3.59600000e-02, 2.69700000e-01, 1.22264000e+00,\n", - " 1.44739000e+00, 2.24750000e-01, 0.00000000e+00, 8.09100000e-02,\n", - " 8.45060000e-01, 1.61820000e-01, 2.87680000e-01, 4.76470000e-01,\n", - " 3.15549000e+00, 2.06770000e+00, 6.29300000e-02, 2.15760000e-01,\n", - " 1.16870000e-01, 8.99000000e-02, 8.99000000e-02, 2.69700000e-01,\n", - " 2.69700000e-01, 3.46115000e+00, 3.29933000e+00, 2.51720000e-01,\n", - " 3.50610000e-01, 1.34850000e-01, 9.88900000e-02, 2.96670000e-01,\n", - " 8.99000000e-02, 8.99000000e-02, 6.11320000e-01, 4.67480000e-01,\n", - " 6.38290000e-01, 8.00110000e-01, 6.82341000e+00, 1.40244000e+00,\n", - " 1.24062000e+00, 1.29456000e+00, 2.41831000e+00, 1.79800000e-01,\n", - " 1.16870000e+00, 3.33529000e+00, 2.33740000e-01, 9.49344000e+00,\n", - " 7.11109000e+00, 4.36015000e+00, 4.85460000e-01, 1.34850000e-01,\n", - " 7.95615000e+00, 2.01376000e+00, 3.35327000e+00, 7.37180000e-01,\n", - " 1.70810000e-01, 2.75094000e+00, 2.21154000e+00, 8.99000000e-02,\n", - " 3.59600000e-02, 2.69700000e-02, 8.09100000e-01, 3.59600000e-02,\n", - " 3.74883000e+00, 8.03706000e+00, 3.59600000e-01, 7.37180000e-01,\n", - " 1.65416000e+00, 4.49500000e-02, 2.06770000e-01, 2.42730000e+00,\n", - " 2.60710000e-01, 4.31520000e-01, 9.25970000e-01, 5.04339000e+00,\n", - " 2.77791000e+00, 5.75360000e-01, 9.07990000e-01, 1.20466000e+00,\n", - " 1.34850000e-01, 6.11320000e-01, 7.73140000e-01, 3.23640000e-01,\n", - " 4.49500000e-02, 4.85460000e-01, 2.33740000e-01, 2.24750000e-01,\n", - " 5.12430000e-01, 6.38290000e-01, 9.43950000e-01, 2.51720000e-01,\n", - " 2.69700000e-02, 3.41620000e-01, 4.34217000e+00, 2.42730000e-01,\n", - " 2.12164000e+00, 2.15760000e-01, 7.73140000e-01, 4.40510000e+00,\n", - " 6.91331000e+00, 1.54628000e+00, 2.94872000e+00, 3.41620000e-01,\n", - " 3.14650000e-01, 2.24750000e-01, 1.64517000e+00, 2.69700000e-01,\n", - " 2.87680000e-01, 1.61820000e-01, 4.49500000e-01, 4.31520000e-01,\n", - " 4.58490000e+00, 1.32153000e+00, 5.21420000e-01, 8.99000000e-03,\n", - " 4.40510000e-01, 1.66315000e+00, 1.91487000e+00, 1.79800000e+00,\n", - " 1.70810000e-01, 6.65260000e-01, 1.25860000e+00, 2.24750000e-01,\n", - " 5.66370000e-01, 3.41620000e-01, 1.52830000e-01, 2.51720000e-01,\n", - " 5.48390000e-01, 4.22530000e-01, 3.68590000e-01, 7.19200000e-02,\n", - " 2.70599000e+00, 3.44317000e+00, 1.34850000e-01, 1.43840000e-01,\n", - " 3.14650000e-01, 1.00508200e+01, 5.43895000e+00, 1.16870000e-01,\n", - " 3.83873000e+00, 1.99578000e+00, 8.99000000e-03, 3.86570000e-01,\n", - " 2.15760000e-01, 1.83396000e+00, 2.69700000e+00, 3.70388000e+00,\n", - " 2.51720000e-01, 7.20099000e+00, 1.23163000e+00, 5.21420000e+00,\n", - " 6.74250000e-01, 9.43950000e-01, 4.01853000e+00, 3.03862000e+00,\n", - " 1.24961000e+00, 1.42941000e+00, 0.00000000e+00, 8.99000000e-01,\n", - " 8.00110000e-01, 1.07880000e-01, 5.39400000e-02, 9.88900000e-02,\n", - " 1.52830000e-01, 2.87680000e-01, 5.93340000e-01, 4.04550000e-01,\n", - " 3.41620000e-01, 1.60921000e+00, 1.75305000e+00, 3.59600000e-02,\n", - " 3.50610000e-01, 4.85460000e-01, 2.15760000e-01, 3.32630000e-01,\n", - " 1.79800000e-01, 5.84350000e-01, 1.50133000e+00, 2.15760000e-01,\n", - " 1.70810000e-01, 9.85304000e+00, 3.86570000e-01, 3.32630000e-01,\n", - " 2.87680000e-01, 1.84295000e+00, 4.22530000e-01, 1.52830000e-01,\n", - " 1.29456000e+00, 3.41620000e-01, 2.38235000e+00, 6.29300000e-01,\n", - " 5.38501000e+00, 3.89267000e+00, 3.68590000e+00, 3.32630000e-01,\n", - " 3.59600000e-02, 4.22530000e-01, 9.88900000e-02, 2.42730000e-01,\n", - " 4.99844000e+00, 2.60710000e-01, 2.69700000e-02, 1.43840000e-01,\n", - " 3.34428000e+00, 8.45060000e-01, 1.97780000e-01, 6.83240000e-01,\n", - " 3.30832000e+00, 6.00532000e+00, 1.10037600e+01, 1.27658000e+00,\n", - " 5.78956000e+00, 7.77635000e+00, 6.74250000e-01, 3.50610000e-01,\n", - " 9.43950000e-01, 1.31973200e+01, 7.04816000e+00, 3.59600000e-02,\n", - " 4.04550000e-01, 5.93340000e-01, 2.51720000e-01, 1.15072000e+00,\n", - " 5.21420000e-01, 8.99000000e-01, 9.97890000e-01, 5.31309000e+00,\n", - " 1.24961000e+00, 7.19200000e-02, 1.51032000e+00, 2.38235000e+00,\n", - " 1.42941000e+00, 1.24961000e+00, 8.09100000e-02, 6.92230000e-01,\n", - " 4.22530000e-01, 1.52830000e-01, 8.09100000e-02, 6.64361000e+00,\n", - " 4.85460000e-01, 1.88790000e-01, 6.29300000e-01, 1.20466000e+00,\n", - " 7.11109000e+00, 3.97358000e+00, 6.20310000e-01, 8.63040000e-01,\n", - " 3.48812000e+00, 4.94450000e-01, 8.45060000e-01, 2.69700000e+00,\n", - " 2.28346000e+00, 3.32630000e-01, 4.14439000e+00, 3.77580000e-01,\n", - " 8.25282000e+00, 4.40510000e-01, 1.32153000e+00, 6.29300000e-02,\n", - " 4.49500000e-02, 1.16870000e-01, 6.83240000e-01, 4.58490000e-01,\n", - " 7.37180000e-01, 4.04550000e-01, 3.14650000e-01, 3.86570000e-01,\n", - " 1.35749000e+00, 4.67480000e-01, 1.88790000e-01, 1.79800000e+00,\n", - " 1.52830000e-01, 5.77158000e+00, 1.39345000e+00, 1.42042000e+00,\n", - " 3.32630000e-01, 5.21420000e-01, 1.97780000e-01, 6.41886000e+00,\n", - " 2.51720000e-01, 1.16870000e-01, 1.33951000e+00, 1.19027600e+01,\n", - " 1.79800000e-01, 2.87680000e-01, 3.59600000e-02, 5.50188000e+00,\n", - " 8.99000000e-02, 1.24062000e+00, 1.79800000e-01, 4.95349000e+00,\n", - " 2.01376000e+00, 8.09100000e-02, 1.79800000e-02, 3.32630000e+00,\n", - " 6.29300000e-02, 5.48390000e-01, 1.83396000e+00, 4.85460000e-01,\n", - " 2.22053000e+00, 7.46170000e-01, 1.58224000e+00, 2.51720000e-01,\n", - " 4.67480000e-01, 8.09100000e-02, 6.84139000e+00, 7.01220000e+00,\n", - " 1.51931000e+00, 3.73085000e+00, 7.65948000e+00, 2.96670000e-01,\n", - " 4.49500000e-02, 1.52830000e-01, 3.14650000e-01, 4.04550000e-01,\n", - " 1.34850000e-01, 5.39400000e-02, 2.96670000e-01, 7.19200000e-01,\n", - " 9.97890000e-01, 2.96670000e-01, 1.61820000e-01, 1.52830000e-01,\n", - " 2.06770000e-01, 2.69700000e-02, 6.65260000e-01, 3.41620000e-01,\n", - " 1.61820000e-01, 8.36070000e-01, 7.19200000e-02, 1.28557000e+00,\n", - " 2.19356000e+00, 8.00110000e-01, 2.08568000e+00, 3.78479000e+00,\n", - " 1.19567000e+00, 5.75360000e+00, 6.29300000e-01, 1.10577000e+00,\n", - " 2.15760000e+00, 8.72030000e-01, 4.13540000e-01, 5.21420000e-01,\n", - " 2.33740000e-01, 2.96670000e-01, 8.99000000e-03, 3.32630000e-01,\n", - " 1.52830000e-01, 8.09100000e-02, 3.68590000e-01, 1.68113000e+00,\n", - " 3.95560000e-01, 3.23640000e-01, 1.34850000e-01, 5.84350000e-01,\n", - " 3.84772000e+00, 1.62719000e+00, 4.40510000e-01, 1.06981000e+00,\n", - " 3.14650000e-01, 7.91120000e+00, 5.57380000e-01, 2.68801000e+00,\n", - " 5.39400000e-01, 6.83240000e-01, 2.78690000e-01, 7.91120000e-01,\n", - " 4.13540000e-01, 2.96670000e-01, 1.00688000e+00, 5.39400000e-02,\n", - " 1.61820000e-01, 4.22530000e-01, 3.14650000e-01, 4.13540000e-01,\n", - " 1.16870000e-01, 6.02330000e-01, 3.59600000e+00, 1.03385000e+00,\n", - " 1.62719000e+00, 9.79910000e-01, 5.66370000e-01, 1.24062000e+00,\n", - " 4.14439000e+00, 3.15549000e+00, 2.33740000e-01, 9.34960000e-01,\n", - " 4.76470000e-01, 6.20310000e-01, 1.40244000e+00, 2.67003000e+00,\n", - " 2.69700000e-02, 4.49500000e-02, 3.17347000e+00, 3.27236000e+00,\n", - " 5.03440000e-01, 6.29300000e-02, 3.50610000e-01, 2.33740000e-01,\n", - " 2.69700000e-02, 6.29300000e-02, 2.69700000e-01, 3.14650000e-01,\n", - " 3.56903000e+00, 1.72608000e+00, 1.88790000e-01, 5.30410000e-01,\n", - " 3.70388000e+00, 2.15760000e-01, 6.72452000e+00, 3.23640000e-01,\n", - " 4.84561000e+00, 4.40510000e-01, 1.91487000e+00, 3.59600000e-02,\n", - " 1.16870000e-01, 3.05660000e-01, 1.25860000e-01, 2.04073000e+00,\n", - " 1.24062000e+00, 9.79910000e-01, 1.43840000e-01, 3.86570000e-01,\n", - " 2.69700000e-02, 1.65416000e+00, 4.58490000e-01, 5.39400000e-02,\n", - " 7.55160000e-01, 2.63407000e+00, 9.34960000e-01, 8.99000000e-03,\n", - " 3.90166000e+00, 2.69700000e-01, 2.75094000e+00, 4.49500000e-02,\n", - " 2.69700000e-02, 3.50610000e-01, 1.63618000e+00, 2.51720000e-01,\n", - " 6.83240000e-01, 1.59123000e+00, 8.09100000e-02, 1.07880000e-01,\n", - " 5.68168000e+00, 3.59600000e-02, 3.59600000e-02, 2.87680000e-01,\n", - " 3.32630000e-01, 2.87680000e-01, 9.88900000e-02, 4.85460000e-01,\n", - " 4.13540000e-01, 5.75360000e-01, 4.31520000e-01, 1.24062000e+00,\n", - " 2.23851000e+00, 1.70810000e-01, 8.99000000e-02, 2.33740000e-01,\n", - " 3.86570000e-01, 3.95560000e-01, 1.29456000e+00, 1.52830000e-01,\n", - " 8.09100000e-02, 4.40510000e-01, 2.29245000e+00, 7.46170000e-01,\n", - " 4.22530000e-01, 1.59302800e+01, 1.79800000e-02, 1.97780000e-01,\n", - " 1.88790000e-01, 5.39400000e-02, 6.29300000e-02, 8.09100000e-02,\n", - " 7.19200000e-02, 5.21420000e-01, 1.25860000e-01, 1.67214000e+00,\n", - " 8.64838000e+00, 4.94450000e-01, 1.70810000e-01, 5.84350000e-01,\n", - " 3.11953000e+00, 2.42730000e-01, 1.52830000e-01, 6.74250000e-01,\n", - " 1.34850000e-01, 7.82130000e-01, 1.33052000e+00, 1.08779000e+00,\n", - " 9.88900000e-02, 5.03440000e-01, 3.50610000e-01, 2.60710000e-01,\n", - " 4.22530000e-01, 2.35538000e+00, 5.03440000e-01, 8.18090000e-01,\n", - " 1.33052000e+00, 1.61820000e+00, 1.25860000e-01, 3.59600000e-01,\n", - " 1.49234000e+00, 1.36648000e+00, 4.87258000e+00, 1.16870000e-01,\n", - " 1.78901000e+00, 2.15760000e-01, 5.30410000e-01, 7.46170000e-01,\n", - " 1.79800000e-01, 7.46170000e-01, 2.69700000e-01, 2.24750000e-01,\n", - " 6.29300000e-01, 7.10210000e-01, 1.61820000e-01, 7.19200000e-02,\n", - " 5.75360000e-01, 1.01587000e+00, 6.38290000e-01, 4.22530000e-01,\n", - " 2.42730000e-01, 2.69700000e-02, 1.02486000e+00, 2.88579000e+00,\n", - " 3.86570000e-01, 1.97780000e-01, 8.99000000e-03, 5.93340000e-01,\n", - " 4.22530000e-01, 1.34850000e-01, 1.61820000e-01, 7.10210000e-01,\n", - " 2.15760000e-01, 4.60288000e+00, 4.22530000e-01, 1.61820000e-01,\n", - " 0.00000000e+00, 9.16980000e-01, 2.15760000e-01, 2.87680000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.49955869e+03, -2.52731782e+03, 5.23743435e+01, -7.88353257e+01,\n", - " 5.79372047e+01, 0.00000000e+00, 4.74901156e+01, 0.00000000e+00,\n", - " 0.00000000e+00, 6.11804739e+01, -2.79059490e+02, -1.83067546e+02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 6.02330000e-01, 2.81387000e+00, 5.49289000e+00, 3.89267000e+00,\n", - " 2.06770000e-01, 3.77580000e-01, 2.51720000e-01, 5.30410000e-01,\n", - " 8.72030000e-01, 1.34850000e-01, 5.30410000e-01, 4.22530000e-01,\n", - " 9.45748000e+00, 3.59600000e-02, 1.25860000e-01, 8.09100000e-02,\n", - " 4.71975000e+00, 3.39822000e+00, 5.12430000e-01, 8.00110000e-01,\n", - " 1.88790000e-01, 9.88900000e-02, 5.39400000e-02, 0.00000000e+00,\n", - " 1.79800000e-01, 5.93340000e-01, 4.49500000e-02, 3.46115000e+00,\n", - " 6.74250000e-01, 2.77791000e+00, 1.47436000e+00, 1.12375000e+00,\n", - " 1.24062000e+00, 5.39400000e-02, 0.00000000e+00, 6.29300000e-02,\n", - " 7.01220000e-01, 3.23640000e-01, 1.61820000e-01, 1.16870000e-01,\n", - " 4.04550000e-01, 3.77580000e-01, 1.01587000e+00, 2.13962000e+00,\n", - " 3.41620000e-01, 3.55105000e+00, 1.12375000e+00, 4.52197000e+00,\n", - " 5.66370000e-01, 1.58044200e+01, 9.88900000e-02, 1.25860000e-01,\n", - " 4.13540000e-01, 2.96670000e-01, 6.65260000e-01, 1.61820000e-01,\n", - " 5.93340000e-01, 4.72874000e+00, 8.20787000e+00, 2.20255000e+00,\n", - " 1.53729000e+00, 1.34850000e+00, 5.39400000e-01, 2.30144000e+00,\n", - " 2.78690000e-01, 2.24750000e-01, 2.19356000e+00, 1.86992000e+00,\n", - " 8.99000000e-02, 0.00000000e+00, 4.13540000e-01, 4.22530000e-01,\n", - " 3.59600000e-02, 9.88900000e-02, 7.55160000e-01, 1.54628000e+00,\n", - " 9.16980000e-01, 2.96670000e-01, 3.05660000e-01, 2.26548000e+00,\n", - " 5.26814000e+00, 4.68379000e+00, 1.02486000e+00, 1.65416000e+00,\n", - " 1.93285000e+00, 2.15760000e+00, 2.42730000e-01, 5.03440000e-01,\n", - " 8.99000000e-02, 1.07880000e-01, 1.61820000e-01, 0.00000000e+00,\n", - " 4.49500000e-02, 1.25860000e-01, 1.82497000e+00, 4.76470000e-01,\n", - " 5.39400000e-02, 0.00000000e+00, 1.34850000e-01, 1.46537000e+00,\n", - " 1.16870000e+00, 4.17136000e+00, 5.46592000e+00, 1.01587000e+00,\n", - " 1.61820000e-01, 8.09100000e-02, 4.22530000e-01, 8.09100000e-02,\n", - " 2.41831000e+00, 1.87891000e+00, 5.75360000e-01, 4.67480000e-01,\n", - " 4.89955000e+00, 9.88900000e-01, 0.00000000e+00, 2.36437000e+00,\n", - " 1.55527000e+00, 7.67746000e+00, 1.24062000e+00, 3.67691000e+00,\n", - " 7.64150000e-01, 1.04284000e+00, 2.84983000e+00, 4.78268000e+00,\n", - " 4.27924000e+00, 8.56747000e+00, 1.27658000e+00, 5.48390000e-01,\n", - " 3.64095000e+00, 4.51298000e+00, 1.53729000e+00, 8.45060000e-01,\n", - " 1.79800000e-01, 7.19200000e-01, 1.33951000e+00, 9.34960000e-01,\n", - " 7.91120000e-01, 2.33740000e+00, 6.65260000e-01, 2.24750000e-01,\n", - " 4.46803000e+00, 3.80277000e+00, 3.33529000e+00, 3.48812000e+00,\n", - " 5.30410000e-01, 6.02330000e-01, 1.16870000e-01, 3.14650000e-01,\n", - " 6.47280000e-01, 1.24062000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 8.92707000e+00, 1.29815600e+01, 2.81836500e+01, 7.37180000e-01,\n", - " 8.09100000e-01, 4.40510000e-01, 9.88900000e-02, 1.07880000e-01,\n", - " 2.69700000e-01, 2.33740000e-01, 1.44739000e+00, 1.32153000e+00,\n", - " 1.24062000e+00, 3.59600000e-01, 9.31364000e+00, 1.70540300e+01,\n", - " 2.60710000e-01, 2.24750000e-01, 6.02330000e-01, 2.42730000e-01,\n", - " 2.69700000e-01, 6.38290000e-01, 1.20466000e+00, 4.31520000e-01,\n", - " 6.11320000e-01, 6.29300000e-01, 8.09100000e-02, 1.53729000e+00,\n", - " 1.97780000e-01, 4.76470000e-01, 5.66370000e-01, 1.46537000e+00,\n", - " 1.14173000e+00, 9.88900000e-02, 1.69911000e+00, 5.12430000e-01,\n", - " 3.68590000e-01, 4.04550000e-01, 9.52940000e-01, 4.85460000e-01,\n", - " 1.05183000e+00, 5.39400000e-02, 4.94450000e-01, 3.05660000e-01,\n", - " 4.31520000e-01, 1.52830000e-01, 1.76114100e+01, 4.49500000e-01,\n", - " 3.95560000e-01, 1.79800000e+01, 6.47280000e-01, 1.16870000e-01,\n", - " 0.00000000e+00, 1.16870000e-01, 5.39400000e-02, 4.49500000e-01,\n", - " 6.20310000e-01, 1.25860000e-01, 4.76470000e-01, 5.93340000e+00,\n", - " 3.78479000e+00, 4.57591000e+00, 1.59662400e+01, 1.38625800e+01,\n", - " 3.77580000e-01, 2.15760000e-01, 3.63196000e+00, 2.33740000e+00,\n", - " 7.90221000e+00, 5.60976000e+00, 8.09100000e-02, 1.97780000e+00,\n", - " 5.66370000e-01, 8.02807000e+00, 4.49500000e-02, 6.29300000e-02,\n", - " 9.88900000e-02, 4.49500000e-02, 2.83185000e+00, 2.23851000e+00,\n", - " 2.24750000e+00, 7.05715000e+00, 3.68590000e-01, 8.99000000e-02,\n", - " 3.51509000e+00, 1.16870000e-01, 3.68590000e-01, 5.67269000e+00,\n", - " 3.86570000e-01, 3.59600000e-01, 3.41620000e-01, 3.95560000e-01,\n", - " 2.06770000e-01, 4.59389000e+00, 2.60710000e+00, 8.09100000e-01,\n", - " 1.23163000e+00, 4.31520000e-01, 8.09100000e-02, 2.30144000e+00,\n", - " 1.43840000e+00, 3.28135000e+00, 3.23640000e-01, 5.75360000e-01,\n", - " 2.06770000e-01, 3.32630000e-01, 6.74250000e-01, 2.58013000e+00,\n", - " 7.28190000e-01, 2.65205000e+00, 1.01587000e+00, 3.77580000e-01,\n", - " 7.91120000e-01, 1.35749000e+00, 2.26548000e+00, 6.18512000e+00,\n", - " 6.92230000e-01, 3.28135000e+00, 3.05660000e-01, 2.96670000e-01,\n", - " 8.09100000e-01, 1.64517000e+00, 6.29300000e-01, 1.86992000e+00,\n", - " 1.25860000e-01, 4.22530000e-01, 2.33740000e+00, 1.22264000e+00,\n", - " 1.52830000e-01, 2.78690000e-01, 9.79910000e-01, 5.66370000e-01,\n", - " 1.06981000e+00, 7.19200000e-01, 9.88900000e-02, 3.14650000e-01,\n", - " 7.19200000e-02, 8.99000000e-03, 3.64994000e+00, 4.88157000e+00,\n", - " 2.33740000e-01, 1.70810000e-01, 1.07969900e+01, 4.87258000e+00,\n", - " 9.25970000e-01, 3.64994000e+00, 5.66370000e-01, 1.90588000e+00,\n", - " 2.51720000e-01, 2.24750000e-01, 2.54417000e+00, 3.05660000e-01,\n", - " 1.16870000e-01, 1.77103000e+00, 9.97890000e-01, 4.67480000e-01,\n", - " 4.11742000e+00, 1.43840000e-01, 3.32630000e-01, 1.70810000e-01,\n", - " 2.42730000e-01, 8.99000000e-02, 5.61875000e+00, 2.93074000e+00,\n", - " 3.32630000e-01, 1.52830000e-01, 2.39134000e+00, 2.51720000e-01,\n", - " 1.19567000e+00, 8.99000000e-03, 1.10577000e+00, 1.42042000e+00,\n", - " 4.04550000e-01, 1.33951000e+00, 2.24750000e-01, 7.14705000e+00,\n", - " 3.05660000e-01, 2.96670000e-01, 2.78690000e-01, 1.02845600e+01,\n", - " 3.14650000e-01, 7.46170000e-01, 8.09100000e-02, 4.49500000e-02,\n", - " 2.49023000e+00, 8.90010000e-01, 7.19200000e-02, 0.00000000e+00,\n", - " 3.16448000e+00, 1.63618000e+00, 4.71076000e+00, 2.04972000e+00,\n", - " 5.39400000e-02, 3.59600000e-02, 2.69700000e-01, 1.22264000e+00,\n", - " 1.44739000e+00, 2.24750000e-01, 0.00000000e+00, 8.09100000e-02,\n", - " 8.45060000e-01, 1.61820000e-01, 2.87680000e-01, 4.76470000e-01,\n", - " 3.15549000e+00, 2.06770000e+00, 6.29300000e-02, 2.15760000e-01,\n", - " 1.16870000e-01, 8.99000000e-02, 8.99000000e-02, 2.69700000e-01,\n", - " 2.69700000e-01, 3.46115000e+00, 3.29933000e+00, 2.51720000e-01,\n", - " 3.50610000e-01, 1.34850000e-01, 9.88900000e-02, 2.96670000e-01,\n", - " 8.99000000e-02, 8.99000000e-02, 6.11320000e-01, 4.67480000e-01,\n", - " 6.38290000e-01, 8.00110000e-01, 6.82341000e+00, 1.40244000e+00,\n", - " 1.24062000e+00, 1.29456000e+00, 2.41831000e+00, 1.79800000e-01,\n", - " 1.16870000e+00, 3.33529000e+00, 2.33740000e-01, 9.49344000e+00,\n", - " 7.11109000e+00, 4.36015000e+00, 4.85460000e-01, 1.34850000e-01,\n", - " 7.95615000e+00, 2.01376000e+00, 3.35327000e+00, 7.37180000e-01,\n", - " 1.70810000e-01, 2.75094000e+00, 2.21154000e+00, 8.99000000e-02,\n", - " 3.59600000e-02, 2.69700000e-02, 8.09100000e-01, 3.59600000e-02,\n", - " 3.74883000e+00, 8.03706000e+00, 3.59600000e-01, 7.37180000e-01,\n", - " 1.65416000e+00, 4.49500000e-02, 2.06770000e-01, 2.42730000e+00,\n", - " 2.60710000e-01, 4.31520000e-01, 9.25970000e-01, 5.04339000e+00,\n", - " 2.77791000e+00, 5.75360000e-01, 9.07990000e-01, 1.20466000e+00,\n", - " 1.34850000e-01, 6.11320000e-01, 7.73140000e-01, 3.23640000e-01,\n", - " 4.49500000e-02, 4.85460000e-01, 2.33740000e-01, 2.24750000e-01,\n", - " 5.12430000e-01, 6.38290000e-01, 9.43950000e-01, 2.51720000e-01,\n", - " 2.69700000e-02, 3.41620000e-01, 4.34217000e+00, 2.42730000e-01,\n", - " 2.12164000e+00, 2.15760000e-01, 7.73140000e-01, 4.40510000e+00,\n", - " 6.91331000e+00, 1.54628000e+00, 2.94872000e+00, 3.41620000e-01,\n", - " 3.14650000e-01, 2.24750000e-01, 1.64517000e+00, 2.69700000e-01,\n", - " 2.87680000e-01, 1.61820000e-01, 4.49500000e-01, 4.31520000e-01,\n", - " 4.58490000e+00, 1.32153000e+00, 5.21420000e-01, 8.99000000e-03,\n", - " 4.40510000e-01, 1.66315000e+00, 1.91487000e+00, 1.79800000e+00,\n", - " 1.70810000e-01, 6.65260000e-01, 1.25860000e+00, 2.24750000e-01,\n", - " 5.66370000e-01, 3.41620000e-01, 1.52830000e-01, 2.51720000e-01,\n", - " 5.48390000e-01, 4.22530000e-01, 3.68590000e-01, 7.19200000e-02,\n", - " 2.70599000e+00, 3.44317000e+00, 1.34850000e-01, 1.43840000e-01,\n", - " 3.14650000e-01, 1.00508200e+01, 5.43895000e+00, 1.16870000e-01,\n", - " 3.83873000e+00, 1.99578000e+00, 8.99000000e-03, 3.86570000e-01,\n", - " 2.15760000e-01, 1.83396000e+00, 2.69700000e+00, 3.70388000e+00,\n", - " 2.51720000e-01, 7.20099000e+00, 1.23163000e+00, 5.21420000e+00,\n", - " 6.74250000e-01, 9.43950000e-01, 4.01853000e+00, 3.03862000e+00,\n", - " 1.24961000e+00, 1.42941000e+00, 0.00000000e+00, 8.99000000e-01,\n", - " 8.00110000e-01, 1.07880000e-01, 5.39400000e-02, 9.88900000e-02,\n", - " 1.52830000e-01, 2.87680000e-01, 5.93340000e-01, 4.04550000e-01,\n", - " 3.41620000e-01, 1.60921000e+00, 1.75305000e+00, 3.59600000e-02,\n", - " 3.50610000e-01, 4.85460000e-01, 2.15760000e-01, 3.32630000e-01,\n", - " 1.79800000e-01, 5.84350000e-01, 1.50133000e+00, 2.15760000e-01,\n", - " 1.70810000e-01, 9.85304000e+00, 3.86570000e-01, 3.32630000e-01,\n", - " 2.87680000e-01, 1.84295000e+00, 4.22530000e-01, 1.52830000e-01,\n", - " 1.29456000e+00, 3.41620000e-01, 2.38235000e+00, 6.29300000e-01,\n", - " 5.38501000e+00, 3.89267000e+00, 3.68590000e+00, 3.32630000e-01,\n", - " 3.59600000e-02, 4.22530000e-01, 9.88900000e-02, 2.42730000e-01,\n", - " 4.99844000e+00, 2.60710000e-01, 2.69700000e-02, 1.43840000e-01,\n", - " 3.34428000e+00, 8.45060000e-01, 1.97780000e-01, 6.83240000e-01,\n", - " 3.30832000e+00, 6.00532000e+00, 1.10037600e+01, 1.27658000e+00,\n", - " 5.78956000e+00, 7.77635000e+00, 6.74250000e-01, 3.50610000e-01,\n", - " 9.43950000e-01, 1.31973200e+01, 7.04816000e+00, 3.59600000e-02,\n", - " 4.04550000e-01, 5.93340000e-01, 2.51720000e-01, 1.15072000e+00,\n", - " 5.21420000e-01, 8.99000000e-01, 9.97890000e-01, 5.31309000e+00,\n", - " 1.24961000e+00, 7.19200000e-02, 1.51032000e+00, 2.38235000e+00,\n", - " 1.42941000e+00, 1.24961000e+00, 8.09100000e-02, 6.92230000e-01,\n", - " 4.22530000e-01, 1.52830000e-01, 8.09100000e-02, 6.64361000e+00,\n", - " 4.85460000e-01, 1.88790000e-01, 6.29300000e-01, 1.20466000e+00,\n", - " 7.11109000e+00, 3.97358000e+00, 6.20310000e-01, 8.63040000e-01,\n", - " 3.48812000e+00, 4.94450000e-01, 8.45060000e-01, 2.69700000e+00,\n", - " 2.28346000e+00, 3.32630000e-01, 4.14439000e+00, 3.77580000e-01,\n", - " 8.25282000e+00, 4.40510000e-01, 1.32153000e+00, 6.29300000e-02,\n", - " 4.49500000e-02, 1.16870000e-01, 6.83240000e-01, 4.58490000e-01,\n", - " 7.37180000e-01, 4.04550000e-01, 3.14650000e-01, 3.86570000e-01,\n", - " 1.35749000e+00, 4.67480000e-01, 1.88790000e-01, 1.79800000e+00,\n", - " 1.52830000e-01, 5.77158000e+00, 1.39345000e+00, 1.42042000e+00,\n", - " 3.32630000e-01, 5.21420000e-01, 1.97780000e-01, 6.41886000e+00,\n", - " 2.51720000e-01, 1.16870000e-01, 1.33951000e+00, 1.19027600e+01,\n", - " 1.79800000e-01, 2.87680000e-01, 3.59600000e-02, 5.50188000e+00,\n", - " 8.99000000e-02, 1.24062000e+00, 1.79800000e-01, 4.95349000e+00,\n", - " 2.01376000e+00, 8.09100000e-02, 1.79800000e-02, 3.32630000e+00,\n", - " 6.29300000e-02, 5.48390000e-01, 1.83396000e+00, 4.85460000e-01,\n", - " 2.22053000e+00, 7.46170000e-01, 1.58224000e+00, 2.51720000e-01,\n", - " 4.67480000e-01, 8.09100000e-02, 6.84139000e+00, 7.01220000e+00,\n", - " 1.51931000e+00, 3.73085000e+00, 7.65948000e+00, 2.96670000e-01,\n", - " 4.49500000e-02, 1.52830000e-01, 3.14650000e-01, 4.04550000e-01,\n", - " 1.34850000e-01, 5.39400000e-02, 2.96670000e-01, 7.19200000e-01,\n", - " 9.97890000e-01, 2.96670000e-01, 1.61820000e-01, 1.52830000e-01,\n", - " 2.06770000e-01, 2.69700000e-02, 6.65260000e-01, 3.41620000e-01,\n", - " 1.61820000e-01, 8.36070000e-01, 7.19200000e-02, 1.28557000e+00,\n", - " 2.19356000e+00, 8.00110000e-01, 2.08568000e+00, 3.78479000e+00,\n", - " 1.19567000e+00, 5.75360000e+00, 6.29300000e-01, 1.10577000e+00,\n", - " 2.15760000e+00, 8.72030000e-01, 4.13540000e-01, 5.21420000e-01,\n", - " 2.33740000e-01, 2.96670000e-01, 8.99000000e-03, 3.32630000e-01,\n", - " 1.52830000e-01, 8.09100000e-02, 3.68590000e-01, 1.68113000e+00,\n", - " 3.95560000e-01, 3.23640000e-01, 1.34850000e-01, 5.84350000e-01,\n", - " 3.84772000e+00, 1.62719000e+00, 4.40510000e-01, 1.06981000e+00,\n", - " 3.14650000e-01, 7.91120000e+00, 5.57380000e-01, 2.68801000e+00,\n", - " 5.39400000e-01, 6.83240000e-01, 2.78690000e-01, 7.91120000e-01,\n", - " 4.13540000e-01, 2.96670000e-01, 1.00688000e+00, 5.39400000e-02,\n", - " 1.61820000e-01, 4.22530000e-01, 3.14650000e-01, 4.13540000e-01,\n", - " 1.16870000e-01, 6.02330000e-01, 3.59600000e+00, 1.03385000e+00,\n", - " 1.62719000e+00, 9.79910000e-01, 5.66370000e-01, 1.24062000e+00,\n", - " 4.14439000e+00, 3.15549000e+00, 2.33740000e-01, 9.34960000e-01,\n", - " 4.76470000e-01, 6.20310000e-01, 1.40244000e+00, 2.67003000e+00,\n", - " 2.69700000e-02, 4.49500000e-02, 3.17347000e+00, 3.27236000e+00,\n", - " 5.03440000e-01, 6.29300000e-02, 3.50610000e-01, 2.33740000e-01,\n", - " 2.69700000e-02, 6.29300000e-02, 2.69700000e-01, 3.14650000e-01,\n", - " 3.56903000e+00, 1.72608000e+00, 1.88790000e-01, 5.30410000e-01,\n", - " 3.70388000e+00, 2.15760000e-01, 6.72452000e+00, 3.23640000e-01,\n", - " 4.84561000e+00, 4.40510000e-01, 1.91487000e+00, 3.59600000e-02,\n", - " 1.16870000e-01, 3.05660000e-01, 1.25860000e-01, 2.04073000e+00,\n", - " 1.24062000e+00, 9.79910000e-01, 1.43840000e-01, 3.86570000e-01,\n", - " 2.69700000e-02, 1.65416000e+00, 4.58490000e-01, 5.39400000e-02,\n", - " 7.55160000e-01, 2.63407000e+00, 9.34960000e-01, 8.99000000e-03,\n", - " 3.90166000e+00, 2.69700000e-01, 2.75094000e+00, 4.49500000e-02,\n", - " 2.69700000e-02, 3.50610000e-01, 1.63618000e+00, 2.51720000e-01,\n", - " 6.83240000e-01, 1.59123000e+00, 8.09100000e-02, 1.07880000e-01,\n", - " 5.68168000e+00, 3.59600000e-02, 3.59600000e-02, 2.87680000e-01,\n", - " 3.32630000e-01, 2.87680000e-01, 9.88900000e-02, 4.85460000e-01,\n", - " 4.13540000e-01, 5.75360000e-01, 4.31520000e-01, 1.24062000e+00,\n", - " 2.23851000e+00, 1.70810000e-01, 8.99000000e-02, 2.33740000e-01,\n", - " 3.86570000e-01, 3.95560000e-01, 1.29456000e+00, 1.52830000e-01,\n", - " 8.09100000e-02, 4.40510000e-01, 2.29245000e+00, 7.46170000e-01,\n", - " 4.22530000e-01, 1.59302800e+01, 1.79800000e-02, 1.97780000e-01,\n", - " 1.88790000e-01, 5.39400000e-02, 6.29300000e-02, 8.09100000e-02,\n", - " 7.19200000e-02, 5.21420000e-01, 1.25860000e-01, 1.67214000e+00,\n", - " 8.64838000e+00, 4.94450000e-01, 1.70810000e-01, 5.84350000e-01,\n", - " 3.11953000e+00, 2.42730000e-01, 1.52830000e-01, 6.74250000e-01,\n", - " 1.34850000e-01, 7.82130000e-01, 1.33052000e+00, 1.08779000e+00,\n", - " 9.88900000e-02, 5.03440000e-01, 3.50610000e-01, 2.60710000e-01,\n", - " 4.22530000e-01, 2.35538000e+00, 5.03440000e-01, 8.18090000e-01,\n", - " 1.33052000e+00, 1.61820000e+00, 1.25860000e-01, 3.59600000e-01,\n", - " 1.49234000e+00, 1.36648000e+00, 4.87258000e+00, 1.16870000e-01,\n", - " 1.78901000e+00, 2.15760000e-01, 5.30410000e-01, 7.46170000e-01,\n", - " 1.79800000e-01, 7.46170000e-01, 2.69700000e-01, 2.24750000e-01,\n", - " 6.29300000e-01, 7.10210000e-01, 1.61820000e-01, 7.19200000e-02,\n", - " 5.75360000e-01, 1.01587000e+00, 6.38290000e-01, 4.22530000e-01,\n", - " 2.42730000e-01, 2.69700000e-02, 1.02486000e+00, 2.88579000e+00,\n", - " 3.86570000e-01, 1.97780000e-01, 8.99000000e-03, 5.93340000e-01,\n", - " 4.22530000e-01, 1.34850000e-01, 1.61820000e-01, 7.10210000e-01,\n", - " 2.15760000e-01, 4.60288000e+00, 4.22530000e-01, 1.61820000e-01,\n", - " 0.00000000e+00, 9.16980000e-01, 2.15760000e-01, 2.87680000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.49949037e+03, -2.52731782e+03, 5.23830763e+01, -2.18660520e+01,\n", - " 0.00000000e+00, 0.00000000e+00, 4.75170459e+01, 0.00000000e+00,\n", - " 0.00000000e+00, 6.11520276e+01, -2.78959085e+02, -1.82138972e+02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 6.02330000e-01, 2.81387000e+00, 5.49289000e+00, 3.89267000e+00,\n", - " 2.06770000e-01, 3.77580000e-01, 2.51720000e-01, 5.30410000e-01,\n", - " 8.72030000e-01, 1.34850000e-01, 5.30410000e-01, 4.22530000e-01,\n", - " 9.45748000e+00, 3.59600000e-02, 1.25860000e-01, 8.09100000e-02,\n", - " 4.71975000e+00, 3.39822000e+00, 5.12430000e-01, 8.00110000e-01,\n", - " 1.88790000e-01, 9.88900000e-02, 5.39400000e-02, 0.00000000e+00,\n", - " 1.79800000e-01, 5.93340000e-01, 4.49500000e-02, 3.46115000e+00,\n", - " 6.74250000e-01, 2.77791000e+00, 1.47436000e+00, 1.12375000e+00,\n", - " 1.24062000e+00, 5.39400000e-02, 0.00000000e+00, 6.29300000e-02,\n", - " 7.01220000e-01, 3.23640000e-01, 1.61820000e-01, 1.16870000e-01,\n", - " 4.04550000e-01, 3.77580000e-01, 1.01587000e+00, 2.13962000e+00,\n", - " 3.41620000e-01, 3.55105000e+00, 1.12375000e+00, 4.52197000e+00,\n", - " 5.66370000e-01, 1.58044200e+01, 9.88900000e-02, 1.25860000e-01,\n", - " 4.13540000e-01, 2.96670000e-01, 6.65260000e-01, 1.61820000e-01,\n", - " 5.93340000e-01, 4.72874000e+00, 8.20787000e+00, 2.20255000e+00,\n", - " 1.53729000e+00, 1.34850000e+00, 5.39400000e-01, 2.30144000e+00,\n", - " 2.78690000e-01, 2.24750000e-01, 2.19356000e+00, 1.86992000e+00,\n", - " 8.99000000e-02, 0.00000000e+00, 4.13540000e-01, 4.22530000e-01,\n", - " 3.59600000e-02, 9.88900000e-02, 7.55160000e-01, 1.54628000e+00,\n", - " 9.16980000e-01, 2.96670000e-01, 3.05660000e-01, 2.26548000e+00,\n", - " 5.26814000e+00, 4.68379000e+00, 1.02486000e+00, 1.65416000e+00,\n", - " 1.93285000e+00, 2.15760000e+00, 2.42730000e-01, 5.03440000e-01,\n", - " 8.99000000e-02, 1.07880000e-01, 1.61820000e-01, 0.00000000e+00,\n", - " 4.49500000e-02, 1.25860000e-01, 1.82497000e+00, 4.76470000e-01,\n", - " 5.39400000e-02, 0.00000000e+00, 1.34850000e-01, 1.46537000e+00,\n", - " 1.16870000e+00, 4.17136000e+00, 5.46592000e+00, 1.01587000e+00,\n", - " 1.61820000e-01, 8.09100000e-02, 4.22530000e-01, 8.09100000e-02,\n", - " 2.41831000e+00, 1.87891000e+00, 5.75360000e-01, 4.67480000e-01,\n", - " 4.89955000e+00, 9.88900000e-01, 0.00000000e+00, 2.36437000e+00,\n", - " 1.55527000e+00, 7.67746000e+00, 1.24062000e+00, 3.67691000e+00,\n", - " 7.64150000e-01, 1.04284000e+00, 2.84983000e+00, 4.78268000e+00,\n", - " 4.27924000e+00, 8.56747000e+00, 1.27658000e+00, 5.48390000e-01,\n", - " 3.64095000e+00, 4.51298000e+00, 1.53729000e+00, 8.45060000e-01,\n", - " 1.79800000e-01, 7.19200000e-01, 1.33951000e+00, 9.34960000e-01,\n", - " 7.91120000e-01, 2.33740000e+00, 6.65260000e-01, 2.24750000e-01,\n", - " 4.46803000e+00, 3.80277000e+00, 3.33529000e+00, 3.48812000e+00,\n", - " 5.30410000e-01, 6.02330000e-01, 1.16870000e-01, 3.14650000e-01,\n", - " 6.47280000e-01, 1.24062000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 8.92707000e+00, 1.29815600e+01, 2.81836500e+01, 7.37180000e-01,\n", - " 8.09100000e-01, 4.40510000e-01, 9.88900000e-02, 1.07880000e-01,\n", - " 2.69700000e-01, 2.33740000e-01, 1.44739000e+00, 1.32153000e+00,\n", - " 1.24062000e+00, 3.59600000e-01, 9.31364000e+00, 1.70540300e+01,\n", - " 2.60710000e-01, 2.24750000e-01, 6.02330000e-01, 2.42730000e-01,\n", - " 2.69700000e-01, 6.38290000e-01, 1.20466000e+00, 4.31520000e-01,\n", - " 6.11320000e-01, 6.29300000e-01, 8.09100000e-02, 1.53729000e+00,\n", - " 1.97780000e-01, 4.76470000e-01, 5.66370000e-01, 1.46537000e+00,\n", - " 1.14173000e+00, 9.88900000e-02, 1.69911000e+00, 5.12430000e-01,\n", - " 3.68590000e-01, 4.04550000e-01, 9.52940000e-01, 4.85460000e-01,\n", - " 1.05183000e+00, 5.39400000e-02, 4.94450000e-01, 3.05660000e-01,\n", - " 4.31520000e-01, 1.52830000e-01, 1.76114100e+01, 4.49500000e-01,\n", - " 3.95560000e-01, 1.79800000e+01, 6.47280000e-01, 1.16870000e-01,\n", - " 0.00000000e+00, 1.16870000e-01, 5.39400000e-02, 4.49500000e-01,\n", - " 6.20310000e-01, 1.25860000e-01, 4.76470000e-01, 5.93340000e+00,\n", - " 3.78479000e+00, 4.57591000e+00, 1.59662400e+01, 1.38625800e+01,\n", - " 3.77580000e-01, 2.15760000e-01, 3.63196000e+00, 2.33740000e+00,\n", - " 7.90221000e+00, 5.60976000e+00, 8.09100000e-02, 1.97780000e+00,\n", - " 5.66370000e-01, 8.02807000e+00, 4.49500000e-02, 6.29300000e-02,\n", - " 9.88900000e-02, 4.49500000e-02, 2.83185000e+00, 2.23851000e+00,\n", - " 2.24750000e+00, 7.05715000e+00, 3.68590000e-01, 8.99000000e-02,\n", - " 3.51509000e+00, 1.16870000e-01, 3.68590000e-01, 5.67269000e+00,\n", - " 3.86570000e-01, 3.59600000e-01, 3.41620000e-01, 3.95560000e-01,\n", - " 2.06770000e-01, 4.59389000e+00, 2.60710000e+00, 8.09100000e-01,\n", - " 1.23163000e+00, 4.31520000e-01, 8.09100000e-02, 2.30144000e+00,\n", - " 1.43840000e+00, 3.28135000e+00, 3.23640000e-01, 5.75360000e-01,\n", - " 2.06770000e-01, 3.32630000e-01, 6.74250000e-01, 2.58013000e+00,\n", - " 7.28190000e-01, 2.65205000e+00, 1.01587000e+00, 3.77580000e-01,\n", - " 7.91120000e-01, 1.35749000e+00, 2.26548000e+00, 6.18512000e+00,\n", - " 6.92230000e-01, 3.28135000e+00, 3.05660000e-01, 2.96670000e-01,\n", - " 8.09100000e-01, 1.64517000e+00, 6.29300000e-01, 1.86992000e+00,\n", - " 1.25860000e-01, 4.22530000e-01, 2.33740000e+00, 1.22264000e+00,\n", - " 1.52830000e-01, 2.78690000e-01, 9.79910000e-01, 5.66370000e-01,\n", - " 1.06981000e+00, 7.19200000e-01, 9.88900000e-02, 3.14650000e-01,\n", - " 7.19200000e-02, 8.99000000e-03, 3.64994000e+00, 4.88157000e+00,\n", - " 2.33740000e-01, 1.70810000e-01, 1.07969900e+01, 4.87258000e+00,\n", - " 9.25970000e-01, 3.64994000e+00, 5.66370000e-01, 1.90588000e+00,\n", - " 2.51720000e-01, 2.24750000e-01, 2.54417000e+00, 3.05660000e-01,\n", - " 1.16870000e-01, 1.77103000e+00, 9.97890000e-01, 4.67480000e-01,\n", - " 4.11742000e+00, 1.43840000e-01, 3.32630000e-01, 1.70810000e-01,\n", - " 2.42730000e-01, 8.99000000e-02, 5.61875000e+00, 2.93074000e+00,\n", - " 3.32630000e-01, 1.52830000e-01, 2.39134000e+00, 2.51720000e-01,\n", - " 1.19567000e+00, 8.99000000e-03, 1.10577000e+00, 1.42042000e+00,\n", - " 4.04550000e-01, 1.33951000e+00, 2.24750000e-01, 7.14705000e+00,\n", - " 3.05660000e-01, 2.96670000e-01, 2.78690000e-01, 1.02845600e+01,\n", - " 3.14650000e-01, 7.46170000e-01, 8.09100000e-02, 4.49500000e-02,\n", - " 2.49023000e+00, 8.90010000e-01, 7.19200000e-02, 0.00000000e+00,\n", - " 3.16448000e+00, 1.63618000e+00, 4.71076000e+00, 2.04972000e+00,\n", - " 5.39400000e-02, 3.59600000e-02, 2.69700000e-01, 1.22264000e+00,\n", - " 1.44739000e+00, 2.24750000e-01, 0.00000000e+00, 8.09100000e-02,\n", - " 8.45060000e-01, 1.61820000e-01, 2.87680000e-01, 4.76470000e-01,\n", - " 3.15549000e+00, 2.06770000e+00, 6.29300000e-02, 2.15760000e-01,\n", - " 1.16870000e-01, 8.99000000e-02, 8.99000000e-02, 2.69700000e-01,\n", - " 2.69700000e-01, 3.46115000e+00, 3.29933000e+00, 2.51720000e-01,\n", - " 3.50610000e-01, 1.34850000e-01, 9.88900000e-02, 2.96670000e-01,\n", - " 8.99000000e-02, 8.99000000e-02, 6.11320000e-01, 4.67480000e-01,\n", - " 6.38290000e-01, 8.00110000e-01, 6.82341000e+00, 1.40244000e+00,\n", - " 1.24062000e+00, 1.29456000e+00, 2.41831000e+00, 1.79800000e-01,\n", - " 1.16870000e+00, 3.33529000e+00, 2.33740000e-01, 9.49344000e+00,\n", - " 7.11109000e+00, 4.36015000e+00, 4.85460000e-01, 1.34850000e-01,\n", - " 7.95615000e+00, 2.01376000e+00, 3.35327000e+00, 7.37180000e-01,\n", - " 1.70810000e-01, 2.75094000e+00, 2.21154000e+00, 8.99000000e-02,\n", - " 3.59600000e-02, 2.69700000e-02, 8.09100000e-01, 3.59600000e-02,\n", - " 3.74883000e+00, 8.03706000e+00, 3.59600000e-01, 7.37180000e-01,\n", - " 1.65416000e+00, 4.49500000e-02, 2.06770000e-01, 2.42730000e+00,\n", - " 2.60710000e-01, 4.31520000e-01, 9.25970000e-01, 5.04339000e+00,\n", - " 2.77791000e+00, 5.75360000e-01, 9.07990000e-01, 1.20466000e+00,\n", - " 1.34850000e-01, 6.11320000e-01, 7.73140000e-01, 3.23640000e-01,\n", - " 4.49500000e-02, 4.85460000e-01, 2.33740000e-01, 2.24750000e-01,\n", - " 5.12430000e-01, 6.38290000e-01, 9.43950000e-01, 2.51720000e-01,\n", - " 2.69700000e-02, 3.41620000e-01, 4.34217000e+00, 2.42730000e-01,\n", - " 2.12164000e+00, 2.15760000e-01, 7.73140000e-01, 4.40510000e+00,\n", - " 6.91331000e+00, 1.54628000e+00, 2.94872000e+00, 3.41620000e-01,\n", - " 3.14650000e-01, 2.24750000e-01, 1.64517000e+00, 2.69700000e-01,\n", - " 2.87680000e-01, 1.61820000e-01, 4.49500000e-01, 4.31520000e-01,\n", - " 4.58490000e+00, 1.32153000e+00, 5.21420000e-01, 8.99000000e-03,\n", - " 4.40510000e-01, 1.66315000e+00, 1.91487000e+00, 1.79800000e+00,\n", - " 1.70810000e-01, 6.65260000e-01, 1.25860000e+00, 2.24750000e-01,\n", - " 5.66370000e-01, 3.41620000e-01, 1.52830000e-01, 2.51720000e-01,\n", - " 5.48390000e-01, 4.22530000e-01, 3.68590000e-01, 7.19200000e-02,\n", - " 2.70599000e+00, 3.44317000e+00, 1.34850000e-01, 1.43840000e-01,\n", - " 3.14650000e-01, 1.00508200e+01, 5.43895000e+00, 1.16870000e-01,\n", - " 3.83873000e+00, 1.99578000e+00, 8.99000000e-03, 3.86570000e-01,\n", - " 2.15760000e-01, 1.83396000e+00, 2.69700000e+00, 3.70388000e+00,\n", - " 2.51720000e-01, 7.20099000e+00, 1.23163000e+00, 5.21420000e+00,\n", - " 6.74250000e-01, 9.43950000e-01, 4.01853000e+00, 3.03862000e+00,\n", - " 1.24961000e+00, 1.42941000e+00, 0.00000000e+00, 8.99000000e-01,\n", - " 8.00110000e-01, 1.07880000e-01, 5.39400000e-02, 9.88900000e-02,\n", - " 1.52830000e-01, 2.87680000e-01, 5.93340000e-01, 4.04550000e-01,\n", - " 3.41620000e-01, 1.60921000e+00, 1.75305000e+00, 3.59600000e-02,\n", - " 3.50610000e-01, 4.85460000e-01, 2.15760000e-01, 3.32630000e-01,\n", - " 1.79800000e-01, 5.84350000e-01, 1.50133000e+00, 2.15760000e-01,\n", - " 1.70810000e-01, 9.85304000e+00, 3.86570000e-01, 3.32630000e-01,\n", - " 2.87680000e-01, 1.84295000e+00, 4.22530000e-01, 1.52830000e-01,\n", - " 1.29456000e+00, 3.41620000e-01, 2.38235000e+00, 6.29300000e-01,\n", - " 5.38501000e+00, 3.89267000e+00, 3.68590000e+00, 3.32630000e-01,\n", - " 3.59600000e-02, 4.22530000e-01, 9.88900000e-02, 2.42730000e-01,\n", - " 4.99844000e+00, 2.60710000e-01, 2.69700000e-02, 1.43840000e-01,\n", - " 3.34428000e+00, 8.45060000e-01, 1.97780000e-01, 6.83240000e-01,\n", - " 3.30832000e+00, 6.00532000e+00, 1.10037600e+01, 1.27658000e+00,\n", - " 5.78956000e+00, 7.77635000e+00, 6.74250000e-01, 3.50610000e-01,\n", - " 9.43950000e-01, 1.31973200e+01, 7.04816000e+00, 3.59600000e-02,\n", - " 4.04550000e-01, 5.93340000e-01, 2.51720000e-01, 1.15072000e+00,\n", - " 5.21420000e-01, 8.99000000e-01, 9.97890000e-01, 5.31309000e+00,\n", - " 1.24961000e+00, 7.19200000e-02, 1.51032000e+00, 2.38235000e+00,\n", - " 1.42941000e+00, 1.24961000e+00, 8.09100000e-02, 6.92230000e-01,\n", - " 4.22530000e-01, 1.52830000e-01, 8.09100000e-02, 6.64361000e+00,\n", - " 4.85460000e-01, 1.88790000e-01, 6.29300000e-01, 1.20466000e+00,\n", - " 7.11109000e+00, 3.97358000e+00, 6.20310000e-01, 8.63040000e-01,\n", - " 3.48812000e+00, 4.94450000e-01, 8.45060000e-01, 2.69700000e+00,\n", - " 2.28346000e+00, 3.32630000e-01, 4.14439000e+00, 3.77580000e-01,\n", - " 8.25282000e+00, 4.40510000e-01, 1.32153000e+00, 6.29300000e-02,\n", - " 4.49500000e-02, 1.16870000e-01, 6.83240000e-01, 4.58490000e-01,\n", - " 7.37180000e-01, 4.04550000e-01, 3.14650000e-01, 3.86570000e-01,\n", - " 1.35749000e+00, 4.67480000e-01, 1.88790000e-01, 1.79800000e+00,\n", - " 1.52830000e-01, 5.77158000e+00, 1.39345000e+00, 1.42042000e+00,\n", - " 3.32630000e-01, 5.21420000e-01, 1.97780000e-01, 6.41886000e+00,\n", - " 2.51720000e-01, 1.16870000e-01, 1.33951000e+00, 1.19027600e+01,\n", - " 1.79800000e-01, 2.87680000e-01, 3.59600000e-02, 5.50188000e+00,\n", - " 8.99000000e-02, 1.24062000e+00, 1.79800000e-01, 4.95349000e+00,\n", - " 2.01376000e+00, 8.09100000e-02, 1.79800000e-02, 3.32630000e+00,\n", - " 6.29300000e-02, 5.48390000e-01, 1.83396000e+00, 4.85460000e-01,\n", - " 2.22053000e+00, 7.46170000e-01, 1.58224000e+00, 2.51720000e-01,\n", - " 4.67480000e-01, 8.09100000e-02, 6.84139000e+00, 7.01220000e+00,\n", - " 1.51931000e+00, 3.73085000e+00, 7.65948000e+00, 2.96670000e-01,\n", - " 4.49500000e-02, 1.52830000e-01, 3.14650000e-01, 4.04550000e-01,\n", - " 1.34850000e-01, 5.39400000e-02, 2.96670000e-01, 7.19200000e-01,\n", - " 9.97890000e-01, 2.96670000e-01, 1.61820000e-01, 1.52830000e-01,\n", - " 2.06770000e-01, 2.69700000e-02, 6.65260000e-01, 3.41620000e-01,\n", - " 1.61820000e-01, 8.36070000e-01, 7.19200000e-02, 1.28557000e+00,\n", - " 2.19356000e+00, 8.00110000e-01, 2.08568000e+00, 3.78479000e+00,\n", - " 1.19567000e+00, 5.75360000e+00, 6.29300000e-01, 1.10577000e+00,\n", - " 2.15760000e+00, 8.72030000e-01, 4.13540000e-01, 5.21420000e-01,\n", - " 2.33740000e-01, 2.96670000e-01, 8.99000000e-03, 3.32630000e-01,\n", - " 1.52830000e-01, 8.09100000e-02, 3.68590000e-01, 1.68113000e+00,\n", - " 3.95560000e-01, 3.23640000e-01, 1.34850000e-01, 5.84350000e-01,\n", - " 3.84772000e+00, 1.62719000e+00, 4.40510000e-01, 1.06981000e+00,\n", - " 3.14650000e-01, 7.91120000e+00, 5.57380000e-01, 2.68801000e+00,\n", - " 5.39400000e-01, 6.83240000e-01, 2.78690000e-01, 7.91120000e-01,\n", - " 4.13540000e-01, 2.96670000e-01, 1.00688000e+00, 5.39400000e-02,\n", - " 1.61820000e-01, 4.22530000e-01, 3.14650000e-01, 4.13540000e-01,\n", - " 1.16870000e-01, 6.02330000e-01, 3.59600000e+00, 1.03385000e+00,\n", - " 1.62719000e+00, 9.79910000e-01, 5.66370000e-01, 1.24062000e+00,\n", - " 4.14439000e+00, 3.15549000e+00, 2.33740000e-01, 9.34960000e-01,\n", - " 4.76470000e-01, 6.20310000e-01, 1.40244000e+00, 2.67003000e+00,\n", - " 2.69700000e-02, 4.49500000e-02, 3.17347000e+00, 3.27236000e+00,\n", - " 5.03440000e-01, 6.29300000e-02, 3.50610000e-01, 2.33740000e-01,\n", - " 2.69700000e-02, 6.29300000e-02, 2.69700000e-01, 3.14650000e-01,\n", - " 3.56903000e+00, 1.72608000e+00, 1.88790000e-01, 5.30410000e-01,\n", - " 3.70388000e+00, 2.15760000e-01, 6.72452000e+00, 3.23640000e-01,\n", - " 4.84561000e+00, 4.40510000e-01, 1.91487000e+00, 3.59600000e-02,\n", - " 1.16870000e-01, 3.05660000e-01, 1.25860000e-01, 2.04073000e+00,\n", - " 1.24062000e+00, 9.79910000e-01, 1.43840000e-01, 3.86570000e-01,\n", - " 2.69700000e-02, 1.65416000e+00, 4.58490000e-01, 5.39400000e-02,\n", - " 7.55160000e-01, 2.63407000e+00, 9.34960000e-01, 8.99000000e-03,\n", - " 3.90166000e+00, 2.69700000e-01, 2.75094000e+00, 4.49500000e-02,\n", - " 2.69700000e-02, 3.50610000e-01, 1.63618000e+00, 2.51720000e-01,\n", - " 6.83240000e-01, 1.59123000e+00, 8.09100000e-02, 1.07880000e-01,\n", - " 5.68168000e+00, 3.59600000e-02, 3.59600000e-02, 2.87680000e-01,\n", - " 3.32630000e-01, 2.87680000e-01, 9.88900000e-02, 4.85460000e-01,\n", - " 4.13540000e-01, 5.75360000e-01, 4.31520000e-01, 1.24062000e+00,\n", - " 2.23851000e+00, 1.70810000e-01, 8.99000000e-02, 2.33740000e-01,\n", - " 3.86570000e-01, 3.95560000e-01, 1.29456000e+00, 1.52830000e-01,\n", - " 8.09100000e-02, 4.40510000e-01, 2.29245000e+00, 7.46170000e-01,\n", - " 4.22530000e-01, 1.59302800e+01, 1.79800000e-02, 1.97780000e-01,\n", - " 1.88790000e-01, 5.39400000e-02, 6.29300000e-02, 8.09100000e-02,\n", - " 7.19200000e-02, 5.21420000e-01, 1.25860000e-01, 1.67214000e+00,\n", - " 8.64838000e+00, 4.94450000e-01, 1.70810000e-01, 5.84350000e-01,\n", - " 3.11953000e+00, 2.42730000e-01, 1.52830000e-01, 6.74250000e-01,\n", - " 1.34850000e-01, 7.82130000e-01, 1.33052000e+00, 1.08779000e+00,\n", - " 9.88900000e-02, 5.03440000e-01, 3.50610000e-01, 2.60710000e-01,\n", - " 4.22530000e-01, 2.35538000e+00, 5.03440000e-01, 8.18090000e-01,\n", - " 1.33052000e+00, 1.61820000e+00, 1.25860000e-01, 3.59600000e-01,\n", - " 1.49234000e+00, 1.36648000e+00, 4.87258000e+00, 1.16870000e-01,\n", - " 1.78901000e+00, 2.15760000e-01, 5.30410000e-01, 7.46170000e-01,\n", - " 1.79800000e-01, 7.46170000e-01, 2.69700000e-01, 2.24750000e-01,\n", - " 6.29300000e-01, 7.10210000e-01, 1.61820000e-01, 7.19200000e-02,\n", - " 5.75360000e-01, 1.01587000e+00, 6.38290000e-01, 4.22530000e-01,\n", - " 2.42730000e-01, 2.69700000e-02, 1.02486000e+00, 2.88579000e+00,\n", - " 3.86570000e-01, 1.97780000e-01, 8.99000000e-03, 5.93340000e-01,\n", - " 4.22530000e-01, 1.34850000e-01, 1.61820000e-01, 7.10210000e-01,\n", - " 2.15760000e-01, 4.60288000e+00, 4.22530000e-01, 1.61820000e-01,\n", - " 0.00000000e+00, 9.16980000e-01, 2.15760000e-01, 2.87680000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.47019814e+03, -2.52731782e+03, 5.17121846e+01, -2.22006456e+01,\n", - " 0.00000000e+00, 0.00000000e+00, 4.71313634e+01, 0.00000000e+00,\n", - " 0.00000000e+00, 2.10974517e+01, 0.00000000e+00, -3.90359443e+02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 3.20930000e-01, 1.49927000e+00, 2.92669000e+00, 2.07407000e+00,\n", - " 1.10170000e-01, 2.01180000e-01, 1.34120000e-01, 2.82610000e-01,\n", - " 4.64630000e-01, 7.18500000e-02, 2.82610000e-01, 2.25130000e-01,\n", - " 5.03908000e+00, 1.91600000e-02, 6.70600000e-02, 4.31100000e-02,\n", - " 2.51475000e+00, 1.81062000e+00, 2.73030000e-01, 4.26310000e-01,\n", - " 1.00590000e-01, 5.26900000e-02, 2.87400000e-02, 0.00000000e+00,\n", - " 9.58000000e-02, 3.16140000e-01, 2.39500000e-02, 1.84415000e+00,\n", - " 3.59250000e-01, 1.48011000e+00, 7.85560000e-01, 5.98750000e-01,\n", - " 6.61020000e-01, 2.87400000e-02, 0.00000000e+00, 3.35300000e-02,\n", - " 3.73620000e-01, 1.72440000e-01, 8.62200000e-02, 6.22700000e-02,\n", - " 2.15550000e-01, 2.01180000e-01, 5.41270000e-01, 1.14002000e+00,\n", - " 1.82020000e-01, 1.89205000e+00, 5.98750000e-01, 2.40937000e+00,\n", - " 3.01770000e-01, 8.42082000e+00, 5.26900000e-02, 6.70600000e-02,\n", - " 2.20340000e-01, 1.58070000e-01, 3.54460000e-01, 8.62200000e-02,\n", - " 3.16140000e-01, 2.51954000e+00, 4.37327000e+00, 1.17355000e+00,\n", - " 8.19090000e-01, 7.18500000e-01, 2.87400000e-01, 1.22624000e+00,\n", - " 1.48490000e-01, 1.19750000e-01, 1.16876000e+00, 9.96320000e-01,\n", - " 4.79000000e-02, 0.00000000e+00, 2.20340000e-01, 2.25130000e-01,\n", - " 1.91600000e-02, 5.26900000e-02, 4.02360000e-01, 8.23880000e-01,\n", - " 4.88580000e-01, 1.58070000e-01, 1.62860000e-01, 1.20708000e+00,\n", - " 2.80694000e+00, 2.49559000e+00, 5.46060000e-01, 8.81360000e-01,\n", - " 1.02985000e+00, 1.14960000e+00, 1.29330000e-01, 2.68240000e-01,\n", - " 4.79000000e-02, 5.74800000e-02, 8.62200000e-02, 0.00000000e+00,\n", - " 2.39500000e-02, 6.70600000e-02, 9.72370000e-01, 2.53870000e-01,\n", - " 2.87400000e-02, 0.00000000e+00, 7.18500000e-02, 7.80770000e-01,\n", - " 6.22700000e-01, 2.22256000e+00, 2.91232000e+00, 5.41270000e-01,\n", - " 8.62200000e-02, 4.31100000e-02, 2.25130000e-01, 4.31100000e-02,\n", - " 1.28851000e+00, 1.00111000e+00, 3.06560000e-01, 2.49080000e-01,\n", - " 2.61055000e+00, 5.26900000e-01, 0.00000000e+00, 1.25977000e+00,\n", - " 8.28670000e-01, 4.09066000e+00, 6.61020000e-01, 1.95911000e+00,\n", - " 4.07150000e-01, 5.55640000e-01, 1.51843000e+00, 2.54828000e+00,\n", - " 2.28004000e+00, 4.56487000e+00, 6.80180000e-01, 2.92190000e-01,\n", - " 1.93995000e+00, 2.40458000e+00, 8.19090000e-01, 4.50260000e-01,\n", - " 9.58000000e-02, 3.83200000e-01, 7.13710000e-01, 4.98160000e-01,\n", - " 4.21520000e-01, 1.24540000e+00, 3.54460000e-01, 1.19750000e-01,\n", - " 2.38063000e+00, 2.02617000e+00, 1.77709000e+00, 1.85852000e+00,\n", - " 2.82610000e-01, 3.20930000e-01, 6.22700000e-02, 1.67650000e-01,\n", - " 3.44880000e-01, 6.61020000e-01, 0.00000000e+00, 0.00000000e+00,\n", - " 4.75647000e+00, 6.91676000e+00, 1.50166500e+01, 3.92780000e-01,\n", - " 4.31100000e-01, 2.34710000e-01, 5.26900000e-02, 5.74800000e-02,\n", - " 1.43700000e-01, 1.24540000e-01, 7.71190000e-01, 7.04130000e-01,\n", - " 6.61020000e-01, 1.91600000e-01, 4.96244000e+00, 9.08663000e+00,\n", - " 1.38910000e-01, 1.19750000e-01, 3.20930000e-01, 1.29330000e-01,\n", - " 1.43700000e-01, 3.40090000e-01, 6.41860000e-01, 2.29920000e-01,\n", - " 3.25720000e-01, 3.35300000e-01, 4.31100000e-02, 8.19090000e-01,\n", - " 1.05380000e-01, 2.53870000e-01, 3.01770000e-01, 7.80770000e-01,\n", - " 6.08330000e-01, 5.26900000e-02, 9.05310000e-01, 2.73030000e-01,\n", - " 1.96390000e-01, 2.15550000e-01, 5.07740000e-01, 2.58660000e-01,\n", - " 5.60430000e-01, 2.87400000e-02, 2.63450000e-01, 1.62860000e-01,\n", - " 2.29920000e-01, 8.14300000e-02, 9.38361000e+00, 2.39500000e-01,\n", - " 2.10760000e-01, 9.58000000e+00, 3.44880000e-01, 6.22700000e-02,\n", - " 0.00000000e+00, 6.22700000e-02, 2.87400000e-02, 2.39500000e-01,\n", - " 3.30510000e-01, 6.70600000e-02, 2.53870000e-01, 3.16140000e+00,\n", - " 2.01659000e+00, 2.43811000e+00, 8.50704000e+00, 7.38618000e+00,\n", - " 2.01180000e-01, 1.14960000e-01, 1.93516000e+00, 1.24540000e+00,\n", - " 4.21041000e+00, 2.98896000e+00, 4.31100000e-02, 1.05380000e+00,\n", - " 3.01770000e-01, 4.27747000e+00, 2.39500000e-02, 3.35300000e-02,\n", - " 5.26900000e-02, 2.39500000e-02, 1.50885000e+00, 1.19271000e+00,\n", - " 1.19750000e+00, 3.76015000e+00, 1.96390000e-01, 4.79000000e-02,\n", - " 1.87289000e+00, 6.22700000e-02, 1.96390000e-01, 3.02249000e+00,\n", - " 2.05970000e-01, 1.91600000e-01, 1.82020000e-01, 2.10760000e-01,\n", - " 1.10170000e-01, 2.44769000e+00, 1.38910000e+00, 4.31100000e-01,\n", - " 6.56230000e-01, 2.29920000e-01, 4.31100000e-02, 1.22624000e+00,\n", - " 7.66400000e-01, 1.74835000e+00, 1.72440000e-01, 3.06560000e-01,\n", - " 1.10170000e-01, 1.77230000e-01, 3.59250000e-01, 1.37473000e+00,\n", - " 3.87990000e-01, 1.41305000e+00, 5.41270000e-01, 2.01180000e-01,\n", - " 4.21520000e-01, 7.23290000e-01, 1.20708000e+00, 3.29552000e+00,\n", - " 3.68830000e-01, 1.74835000e+00, 1.62860000e-01, 1.58070000e-01,\n", - " 4.31100000e-01, 8.76570000e-01, 3.35300000e-01, 9.96320000e-01,\n", - " 6.70600000e-02, 2.25130000e-01, 1.24540000e+00, 6.51440000e-01,\n", - " 8.14300000e-02, 1.48490000e-01, 5.22110000e-01, 3.01770000e-01,\n", - " 5.70010000e-01, 3.83200000e-01, 5.26900000e-02, 1.67650000e-01,\n", - " 3.83200000e-02, 4.79000000e-03, 1.94474000e+00, 2.60097000e+00,\n", - " 1.24540000e-01, 9.10100000e-02, 5.75279000e+00, 2.59618000e+00,\n", - " 4.93370000e-01, 1.94474000e+00, 3.01770000e-01, 1.01548000e+00,\n", - " 1.34120000e-01, 1.19750000e-01, 1.35557000e+00, 1.62860000e-01,\n", - " 6.22700000e-02, 9.43630000e-01, 5.31690000e-01, 2.49080000e-01,\n", - " 2.19382000e+00, 7.66400000e-02, 1.77230000e-01, 9.10100000e-02,\n", - " 1.29330000e-01, 4.79000000e-02, 2.99375000e+00, 1.56154000e+00,\n", - " 1.77230000e-01, 8.14300000e-02, 1.27414000e+00, 1.34120000e-01,\n", - " 6.37070000e-01, 4.79000000e-03, 5.89170000e-01, 7.56820000e-01,\n", - " 2.15550000e-01, 7.13710000e-01, 1.19750000e-01, 3.80805000e+00,\n", - " 1.62860000e-01, 1.58070000e-01, 1.48490000e-01, 5.47976000e+00,\n", - " 1.67650000e-01, 3.97570000e-01, 4.31100000e-02, 2.39500000e-02,\n", - " 1.32683000e+00, 4.74210000e-01, 3.83200000e-02, 0.00000000e+00,\n", - " 1.68608000e+00, 8.71780000e-01, 2.50996000e+00, 1.09212000e+00,\n", - " 2.87400000e-02, 1.91600000e-02, 1.43700000e-01, 6.51440000e-01,\n", - " 7.71190000e-01, 1.19750000e-01, 0.00000000e+00, 4.31100000e-02,\n", - " 4.50260000e-01, 8.62200000e-02, 1.53280000e-01, 2.53870000e-01,\n", - " 1.68129000e+00, 1.10170000e+00, 3.35300000e-02, 1.14960000e-01,\n", - " 6.22700000e-02, 4.79000000e-02, 4.79000000e-02, 1.43700000e-01,\n", - " 1.43700000e-01, 1.84415000e+00, 1.75793000e+00, 1.34120000e-01,\n", - " 1.86810000e-01, 7.18500000e-02, 5.26900000e-02, 1.58070000e-01,\n", - " 4.79000000e-02, 4.79000000e-02, 3.25720000e-01, 2.49080000e-01,\n", - " 3.40090000e-01, 4.26310000e-01, 3.63561000e+00, 7.47240000e-01,\n", - " 6.61020000e-01, 6.89760000e-01, 1.28851000e+00, 9.58000000e-02,\n", - " 6.22700000e-01, 1.77709000e+00, 1.24540000e-01, 5.05824000e+00,\n", - " 3.78889000e+00, 2.32315000e+00, 2.58660000e-01, 7.18500000e-02,\n", - " 4.23915000e+00, 1.07296000e+00, 1.78667000e+00, 3.92780000e-01,\n", - " 9.10100000e-02, 1.46574000e+00, 1.17834000e+00, 4.79000000e-02,\n", - " 1.91600000e-02, 1.43700000e-02, 4.31100000e-01, 1.91600000e-02,\n", - " 1.99743000e+00, 4.28226000e+00, 1.91600000e-01, 3.92780000e-01,\n", - " 8.81360000e-01, 2.39500000e-02, 1.10170000e-01, 1.29330000e+00,\n", - " 1.38910000e-01, 2.29920000e-01, 4.93370000e-01, 2.68719000e+00,\n", - " 1.48011000e+00, 3.06560000e-01, 4.83790000e-01, 6.41860000e-01,\n", - " 7.18500000e-02, 3.25720000e-01, 4.11940000e-01, 1.72440000e-01,\n", - " 2.39500000e-02, 2.58660000e-01, 1.24540000e-01, 1.19750000e-01,\n", - " 2.73030000e-01, 3.40090000e-01, 5.02950000e-01, 1.34120000e-01,\n", - " 1.43700000e-02, 1.82020000e-01, 2.31357000e+00, 1.29330000e-01,\n", - " 1.13044000e+00, 1.14960000e-01, 4.11940000e-01, 2.34710000e+00,\n", - " 3.68351000e+00, 8.23880000e-01, 1.57112000e+00, 1.82020000e-01,\n", - " 1.67650000e-01, 1.19750000e-01, 8.76570000e-01, 1.43700000e-01,\n", - " 1.53280000e-01, 8.62200000e-02, 2.39500000e-01, 2.29920000e-01,\n", - " 2.44290000e+00, 7.04130000e-01, 2.77820000e-01, 4.79000000e-03,\n", - " 2.34710000e-01, 8.86150000e-01, 1.02027000e+00, 9.58000000e-01,\n", - " 9.10100000e-02, 3.54460000e-01, 6.70600000e-01, 1.19750000e-01,\n", - " 3.01770000e-01, 1.82020000e-01, 8.14300000e-02, 1.34120000e-01,\n", - " 2.92190000e-01, 2.25130000e-01, 1.96390000e-01, 3.83200000e-02,\n", - " 1.44179000e+00, 1.83457000e+00, 7.18500000e-02, 7.66400000e-02,\n", - " 1.67650000e-01, 5.35522000e+00, 2.89795000e+00, 6.22700000e-02,\n", - " 2.04533000e+00, 1.06338000e+00, 4.79000000e-03, 2.05970000e-01,\n", - " 1.14960000e-01, 9.77160000e-01, 1.43700000e+00, 1.97348000e+00,\n", - " 1.34120000e-01, 3.83679000e+00, 6.56230000e-01, 2.77820000e+00,\n", - " 3.59250000e-01, 5.02950000e-01, 2.14113000e+00, 1.61902000e+00,\n", - " 6.65810000e-01, 7.61610000e-01, 0.00000000e+00, 4.79000000e-01,\n", - " 4.26310000e-01, 5.74800000e-02, 2.87400000e-02, 5.26900000e-02,\n", - " 8.14300000e-02, 1.53280000e-01, 3.16140000e-01, 2.15550000e-01,\n", - " 1.82020000e-01, 8.57410000e-01, 9.34050000e-01, 1.91600000e-02,\n", - " 1.86810000e-01, 2.58660000e-01, 1.14960000e-01, 1.77230000e-01,\n", - " 9.58000000e-02, 3.11350000e-01, 7.99930000e-01, 1.14960000e-01,\n", - " 9.10100000e-02, 5.24984000e+00, 2.05970000e-01, 1.77230000e-01,\n", - " 1.53280000e-01, 9.81950000e-01, 2.25130000e-01, 8.14300000e-02,\n", - " 6.89760000e-01, 1.82020000e-01, 1.26935000e+00, 3.35300000e-01,\n", - " 2.86921000e+00, 2.07407000e+00, 1.96390000e+00, 1.77230000e-01,\n", - " 1.91600000e-02, 2.25130000e-01, 5.26900000e-02, 1.29330000e-01,\n", - " 2.66324000e+00, 1.38910000e-01, 1.43700000e-02, 7.66400000e-02,\n", - " 1.78188000e+00, 4.50260000e-01, 1.05380000e-01, 3.64040000e-01,\n", - " 1.76272000e+00, 3.19972000e+00, 5.86296000e+00, 6.80180000e-01,\n", - " 3.08476000e+00, 4.14335000e+00, 3.59250000e-01, 1.86810000e-01,\n", - " 5.02950000e-01, 7.03172000e+00, 3.75536000e+00, 1.91600000e-02,\n", - " 2.15550000e-01, 3.16140000e-01, 1.34120000e-01, 6.13120000e-01,\n", - " 2.77820000e-01, 4.79000000e-01, 5.31690000e-01, 2.83089000e+00,\n", - " 6.65810000e-01, 3.83200000e-02, 8.04720000e-01, 1.26935000e+00,\n", - " 7.61610000e-01, 6.65810000e-01, 4.31100000e-02, 3.68830000e-01,\n", - " 2.25130000e-01, 8.14300000e-02, 4.31100000e-02, 3.53981000e+00,\n", - " 2.58660000e-01, 1.00590000e-01, 3.35300000e-01, 6.41860000e-01,\n", - " 3.78889000e+00, 2.11718000e+00, 3.30510000e-01, 4.59840000e-01,\n", - " 1.85852000e+00, 2.63450000e-01, 4.50260000e-01, 1.43700000e+00,\n", - " 1.21666000e+00, 1.77230000e-01, 2.20819000e+00, 2.01180000e-01,\n", - " 4.39722000e+00, 2.34710000e-01, 7.04130000e-01, 3.35300000e-02,\n", - " 2.39500000e-02, 6.22700000e-02, 3.64040000e-01, 2.44290000e-01,\n", - " 3.92780000e-01, 2.15550000e-01, 1.67650000e-01, 2.05970000e-01,\n", - " 7.23290000e-01, 2.49080000e-01, 1.00590000e-01, 9.58000000e-01,\n", - " 8.14300000e-02, 3.07518000e+00, 7.42450000e-01, 7.56820000e-01,\n", - " 1.77230000e-01, 2.77820000e-01, 1.05380000e-01, 3.42006000e+00,\n", - " 1.34120000e-01, 6.22700000e-02, 7.13710000e-01, 6.34196000e+00,\n", - " 9.58000000e-02, 1.53280000e-01, 1.91600000e-02, 2.93148000e+00,\n", - " 4.79000000e-02, 6.61020000e-01, 9.58000000e-02, 2.63929000e+00,\n", - " 1.07296000e+00, 4.31100000e-02, 9.58000000e-03, 1.77230000e+00,\n", - " 3.35300000e-02, 2.92190000e-01, 9.77160000e-01, 2.58660000e-01,\n", - " 1.18313000e+00, 3.97570000e-01, 8.43040000e-01, 1.34120000e-01,\n", - " 2.49080000e-01, 4.31100000e-02, 3.64519000e+00, 3.73620000e+00,\n", - " 8.09510000e-01, 1.98785000e+00, 4.08108000e+00, 1.58070000e-01,\n", - " 2.39500000e-02, 8.14300000e-02, 1.67650000e-01, 2.15550000e-01,\n", - " 7.18500000e-02, 2.87400000e-02, 1.58070000e-01, 3.83200000e-01,\n", - " 5.31690000e-01, 1.58070000e-01, 8.62200000e-02, 8.14300000e-02,\n", - " 1.10170000e-01, 1.43700000e-02, 3.54460000e-01, 1.82020000e-01,\n", - " 8.62200000e-02, 4.45470000e-01, 3.83200000e-02, 6.84970000e-01,\n", - " 1.16876000e+00, 4.26310000e-01, 1.11128000e+00, 2.01659000e+00,\n", - " 6.37070000e-01, 3.06560000e+00, 3.35300000e-01, 5.89170000e-01,\n", - " 1.14960000e+00, 4.64630000e-01, 2.20340000e-01, 2.77820000e-01,\n", - " 1.24540000e-01, 1.58070000e-01, 4.79000000e-03, 1.77230000e-01,\n", - " 8.14300000e-02, 4.31100000e-02, 1.96390000e-01, 8.95730000e-01,\n", - " 2.10760000e-01, 1.72440000e-01, 7.18500000e-02, 3.11350000e-01,\n", - " 2.05012000e+00, 8.66990000e-01, 2.34710000e-01, 5.70010000e-01,\n", - " 1.67650000e-01, 4.21520000e+00, 2.96980000e-01, 1.43221000e+00,\n", - " 2.87400000e-01, 3.64040000e-01, 1.48490000e-01, 4.21520000e-01,\n", - " 2.20340000e-01, 1.58070000e-01, 5.36480000e-01, 2.87400000e-02,\n", - " 8.62200000e-02, 2.25130000e-01, 1.67650000e-01, 2.20340000e-01,\n", - " 6.22700000e-02, 3.20930000e-01, 1.91600000e+00, 5.50850000e-01,\n", - " 8.66990000e-01, 5.22110000e-01, 3.01770000e-01, 6.61020000e-01,\n", - " 2.20819000e+00, 1.68129000e+00, 1.24540000e-01, 4.98160000e-01,\n", - " 2.53870000e-01, 3.30510000e-01, 7.47240000e-01, 1.42263000e+00,\n", - " 1.43700000e-02, 2.39500000e-02, 1.69087000e+00, 1.74356000e+00,\n", - " 2.68240000e-01, 3.35300000e-02, 1.86810000e-01, 1.24540000e-01,\n", - " 1.43700000e-02, 3.35300000e-02, 1.43700000e-01, 1.67650000e-01,\n", - " 1.90163000e+00, 9.19680000e-01, 1.00590000e-01, 2.82610000e-01,\n", - " 1.97348000e+00, 1.14960000e-01, 3.58292000e+00, 1.72440000e-01,\n", - " 2.58181000e+00, 2.34710000e-01, 1.02027000e+00, 1.91600000e-02,\n", - " 6.22700000e-02, 1.62860000e-01, 6.70600000e-02, 1.08733000e+00,\n", - " 6.61020000e-01, 5.22110000e-01, 7.66400000e-02, 2.05970000e-01,\n", - " 1.43700000e-02, 8.81360000e-01, 2.44290000e-01, 2.87400000e-02,\n", - " 4.02360000e-01, 1.40347000e+00, 4.98160000e-01, 4.79000000e-03,\n", - " 2.07886000e+00, 1.43700000e-01, 1.46574000e+00, 2.39500000e-02,\n", - " 1.43700000e-02, 1.86810000e-01, 8.71780000e-01, 1.34120000e-01,\n", - " 3.64040000e-01, 8.47830000e-01, 4.31100000e-02, 5.74800000e-02,\n", - " 3.02728000e+00, 1.91600000e-02, 1.91600000e-02, 1.53280000e-01,\n", - " 1.77230000e-01, 1.53280000e-01, 5.26900000e-02, 2.58660000e-01,\n", - " 2.20340000e-01, 3.06560000e-01, 2.29920000e-01, 6.61020000e-01,\n", - " 1.19271000e+00, 9.10100000e-02, 4.79000000e-02, 1.24540000e-01,\n", - " 2.05970000e-01, 2.10760000e-01, 6.89760000e-01, 8.14300000e-02,\n", - " 4.31100000e-02, 2.34710000e-01, 1.22145000e+00, 3.97570000e-01,\n", - " 2.25130000e-01, 8.48788000e+00, 9.58000000e-03, 1.05380000e-01,\n", - " 1.00590000e-01, 2.87400000e-02, 3.35300000e-02, 4.31100000e-02,\n", - " 3.83200000e-02, 2.77820000e-01, 6.70600000e-02, 8.90940000e-01,\n", - " 4.60798000e+00, 2.63450000e-01, 9.10100000e-02, 3.11350000e-01,\n", - " 1.66213000e+00, 1.29330000e-01, 8.14300000e-02, 3.59250000e-01,\n", - " 7.18500000e-02, 4.16730000e-01, 7.08920000e-01, 5.79590000e-01,\n", - " 5.26900000e-02, 2.68240000e-01, 1.86810000e-01, 1.38910000e-01,\n", - " 2.25130000e-01, 1.25498000e+00, 2.68240000e-01, 4.35890000e-01,\n", - " 7.08920000e-01, 8.62200000e-01, 6.70600000e-02, 1.91600000e-01,\n", - " 7.95140000e-01, 7.28080000e-01, 2.59618000e+00, 6.22700000e-02,\n", - " 9.53210000e-01, 1.14960000e-01, 2.82610000e-01, 3.97570000e-01,\n", - " 9.58000000e-02, 3.97570000e-01, 1.43700000e-01, 1.19750000e-01,\n", - " 3.35300000e-01, 3.78410000e-01, 8.62200000e-02, 3.83200000e-02,\n", - " 3.06560000e-01, 5.41270000e-01, 3.40090000e-01, 2.25130000e-01,\n", - " 1.29330000e-01, 1.43700000e-02, 5.46060000e-01, 1.53759000e+00,\n", - " 2.05970000e-01, 1.05380000e-01, 4.79000000e-03, 3.16140000e-01,\n", - " 2.25130000e-01, 7.18500000e-02, 8.62200000e-02, 3.78410000e-01,\n", - " 1.14960000e-01, 2.45248000e+00, 2.25130000e-01, 8.62200000e-02,\n", - " 0.00000000e+00, 4.88580000e-01, 1.14960000e-01, 1.53280000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.47807775e+03, -2.52731782e+03, 8.47821159e+01, 2.61375356e+01,\n", - " 0.00000000e+00, 0.00000000e+00, 1.39989664e+02, 0.00000000e+00,\n", - " 0.00000000e+00, 8.94548671e+01, 0.00000000e+00, -1.02833051e+01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 2.21100000e-01, 1.03290000e+00, 2.01630000e+00, 1.42890000e+00,\n", - " 7.59000000e-02, 1.38600000e-01, 9.24000000e-02, 1.94700000e-01,\n", - " 3.20100000e-01, 4.95000000e-02, 1.94700000e-01, 1.55100000e-01,\n", - " 3.47160000e+00, 1.32000000e-02, 4.62000000e-02, 2.97000000e-02,\n", - " 1.73250000e+00, 1.24740000e+00, 1.88100000e-01, 2.93700000e-01,\n", - " 6.93000000e-02, 3.63000000e-02, 1.98000000e-02, 0.00000000e+00,\n", - " 6.60000000e-02, 2.17800000e-01, 1.65000000e-02, 1.27050000e+00,\n", - " 2.47500000e-01, 1.01970000e+00, 5.41200000e-01, 4.12500000e-01,\n", - " 4.55400000e-01, 1.98000000e-02, 0.00000000e+00, 2.31000000e-02,\n", - " 2.57400000e-01, 1.18800000e-01, 5.94000000e-02, 4.29000000e-02,\n", - " 1.48500000e-01, 1.38600000e-01, 3.72900000e-01, 7.85400000e-01,\n", - " 1.25400000e-01, 1.30350000e+00, 4.12500000e-01, 1.65990000e+00,\n", - " 2.07900000e-01, 5.80140000e+00, 3.63000000e-02, 4.62000000e-02,\n", - " 1.51800000e-01, 1.08900000e-01, 2.44200000e-01, 5.94000000e-02,\n", - " 2.17800000e-01, 1.73580000e+00, 3.01290000e+00, 8.08500000e-01,\n", - " 5.64300000e-01, 4.95000000e-01, 1.98000000e-01, 8.44800000e-01,\n", - " 1.02300000e-01, 8.25000000e-02, 8.05200000e-01, 6.86400000e-01,\n", - " 3.30000000e-02, 0.00000000e+00, 1.51800000e-01, 1.55100000e-01,\n", - " 1.32000000e-02, 3.63000000e-02, 2.77200000e-01, 5.67600000e-01,\n", - " 3.36600000e-01, 1.08900000e-01, 1.12200000e-01, 8.31600000e-01,\n", - " 1.93380000e+00, 1.71930000e+00, 3.76200000e-01, 6.07200000e-01,\n", - " 7.09500000e-01, 7.92000000e-01, 8.91000000e-02, 1.84800000e-01,\n", - " 3.30000000e-02, 3.96000000e-02, 5.94000000e-02, 0.00000000e+00,\n", - " 1.65000000e-02, 4.62000000e-02, 6.69900000e-01, 1.74900000e-01,\n", - " 1.98000000e-02, 0.00000000e+00, 4.95000000e-02, 5.37900000e-01,\n", - " 4.29000000e-01, 1.53120000e+00, 2.00640000e+00, 3.72900000e-01,\n", - " 5.94000000e-02, 2.97000000e-02, 1.55100000e-01, 2.97000000e-02,\n", - " 8.87700000e-01, 6.89700000e-01, 2.11200000e-01, 1.71600000e-01,\n", - " 1.79850000e+00, 3.63000000e-01, 0.00000000e+00, 8.67900000e-01,\n", - " 5.70900000e-01, 2.81820000e+00, 4.55400000e-01, 1.34970000e+00,\n", - " 2.80500000e-01, 3.82800000e-01, 1.04610000e+00, 1.75560000e+00,\n", - " 1.57080000e+00, 3.14490000e+00, 4.68600000e-01, 2.01300000e-01,\n", - " 1.33650000e+00, 1.65660000e+00, 5.64300000e-01, 3.10200000e-01,\n", - " 6.60000000e-02, 2.64000000e-01, 4.91700000e-01, 3.43200000e-01,\n", - " 2.90400000e-01, 8.58000000e-01, 2.44200000e-01, 8.25000000e-02,\n", - " 1.64010000e+00, 1.39590000e+00, 1.22430000e+00, 1.28040000e+00,\n", - " 1.94700000e-01, 2.21100000e-01, 4.29000000e-02, 1.15500000e-01,\n", - " 2.37600000e-01, 4.55400000e-01, 0.00000000e+00, 0.00000000e+00,\n", - " 3.27690000e+00, 4.76520000e+00, 1.03455000e+01, 2.70600000e-01,\n", - " 2.97000000e-01, 1.61700000e-01, 3.63000000e-02, 3.96000000e-02,\n", - " 9.90000000e-02, 8.58000000e-02, 5.31300000e-01, 4.85100000e-01,\n", - " 4.55400000e-01, 1.32000000e-01, 3.41880000e+00, 6.26010000e+00,\n", - " 9.57000000e-02, 8.25000000e-02, 2.21100000e-01, 8.91000000e-02,\n", - " 9.90000000e-02, 2.34300000e-01, 4.42200000e-01, 1.58400000e-01,\n", - " 2.24400000e-01, 2.31000000e-01, 2.97000000e-02, 5.64300000e-01,\n", - " 7.26000000e-02, 1.74900000e-01, 2.07900000e-01, 5.37900000e-01,\n", - " 4.19100000e-01, 3.63000000e-02, 6.23700000e-01, 1.88100000e-01,\n", - " 1.35300000e-01, 1.48500000e-01, 3.49800000e-01, 1.78200000e-01,\n", - " 3.86100000e-01, 1.98000000e-02, 1.81500000e-01, 1.12200000e-01,\n", - " 1.58400000e-01, 5.61000000e-02, 6.46470000e+00, 1.65000000e-01,\n", - " 1.45200000e-01, 6.60000000e+00, 2.37600000e-01, 4.29000000e-02,\n", - " 0.00000000e+00, 4.29000000e-02, 1.98000000e-02, 1.65000000e-01,\n", - " 2.27700000e-01, 4.62000000e-02, 1.74900000e-01, 2.17800000e+00,\n", - " 1.38930000e+00, 1.67970000e+00, 5.86080000e+00, 5.08860000e+00,\n", - " 1.38600000e-01, 7.92000000e-02, 1.33320000e+00, 8.58000000e-01,\n", - " 2.90070000e+00, 2.05920000e+00, 2.97000000e-02, 7.26000000e-01,\n", - " 2.07900000e-01, 2.94690000e+00, 1.65000000e-02, 2.31000000e-02,\n", - " 3.63000000e-02, 1.65000000e-02, 1.03950000e+00, 8.21700000e-01,\n", - " 8.25000000e-01, 2.59050000e+00, 1.35300000e-01, 3.30000000e-02,\n", - " 1.29030000e+00, 4.29000000e-02, 1.35300000e-01, 2.08230000e+00,\n", - " 1.41900000e-01, 1.32000000e-01, 1.25400000e-01, 1.45200000e-01,\n", - " 7.59000000e-02, 1.68630000e+00, 9.57000000e-01, 2.97000000e-01,\n", - " 4.52100000e-01, 1.58400000e-01, 2.97000000e-02, 8.44800000e-01,\n", - " 5.28000000e-01, 1.20450000e+00, 1.18800000e-01, 2.11200000e-01,\n", - " 7.59000000e-02, 1.22100000e-01, 2.47500000e-01, 9.47100000e-01,\n", - " 2.67300000e-01, 9.73500000e-01, 3.72900000e-01, 1.38600000e-01,\n", - " 2.90400000e-01, 4.98300000e-01, 8.31600000e-01, 2.27040000e+00,\n", - " 2.54100000e-01, 1.20450000e+00, 1.12200000e-01, 1.08900000e-01,\n", - " 2.97000000e-01, 6.03900000e-01, 2.31000000e-01, 6.86400000e-01,\n", - " 4.62000000e-02, 1.55100000e-01, 8.58000000e-01, 4.48800000e-01,\n", - " 5.61000000e-02, 1.02300000e-01, 3.59700000e-01, 2.07900000e-01,\n", - " 3.92700000e-01, 2.64000000e-01, 3.63000000e-02, 1.15500000e-01,\n", - " 2.64000000e-02, 3.30000000e-03, 1.33980000e+00, 1.79190000e+00,\n", - " 8.58000000e-02, 6.27000000e-02, 3.96330000e+00, 1.78860000e+00,\n", - " 3.39900000e-01, 1.33980000e+00, 2.07900000e-01, 6.99600000e-01,\n", - " 9.24000000e-02, 8.25000000e-02, 9.33900000e-01, 1.12200000e-01,\n", - " 4.29000000e-02, 6.50100000e-01, 3.66300000e-01, 1.71600000e-01,\n", - " 1.51140000e+00, 5.28000000e-02, 1.22100000e-01, 6.27000000e-02,\n", - " 8.91000000e-02, 3.30000000e-02, 2.06250000e+00, 1.07580000e+00,\n", - " 1.22100000e-01, 5.61000000e-02, 8.77800000e-01, 9.24000000e-02,\n", - " 4.38900000e-01, 3.30000000e-03, 4.05900000e-01, 5.21400000e-01,\n", - " 1.48500000e-01, 4.91700000e-01, 8.25000000e-02, 2.62350000e+00,\n", - " 1.12200000e-01, 1.08900000e-01, 1.02300000e-01, 3.77520000e+00,\n", - " 1.15500000e-01, 2.73900000e-01, 2.97000000e-02, 1.65000000e-02,\n", - " 9.14100000e-01, 3.26700000e-01, 2.64000000e-02, 0.00000000e+00,\n", - " 1.16160000e+00, 6.00600000e-01, 1.72920000e+00, 7.52400000e-01,\n", - " 1.98000000e-02, 1.32000000e-02, 9.90000000e-02, 4.48800000e-01,\n", - " 5.31300000e-01, 8.25000000e-02, 0.00000000e+00, 2.97000000e-02,\n", - " 3.10200000e-01, 5.94000000e-02, 1.05600000e-01, 1.74900000e-01,\n", - " 1.15830000e+00, 7.59000000e-01, 2.31000000e-02, 7.92000000e-02,\n", - " 4.29000000e-02, 3.30000000e-02, 3.30000000e-02, 9.90000000e-02,\n", - " 9.90000000e-02, 1.27050000e+00, 1.21110000e+00, 9.24000000e-02,\n", - " 1.28700000e-01, 4.95000000e-02, 3.63000000e-02, 1.08900000e-01,\n", - " 3.30000000e-02, 3.30000000e-02, 2.24400000e-01, 1.71600000e-01,\n", - " 2.34300000e-01, 2.93700000e-01, 2.50470000e+00, 5.14800000e-01,\n", - " 4.55400000e-01, 4.75200000e-01, 8.87700000e-01, 6.60000000e-02,\n", - " 4.29000000e-01, 1.22430000e+00, 8.58000000e-02, 3.48480000e+00,\n", - " 2.61030000e+00, 1.60050000e+00, 1.78200000e-01, 4.95000000e-02,\n", - " 2.92050000e+00, 7.39200000e-01, 1.23090000e+00, 2.70600000e-01,\n", - " 6.27000000e-02, 1.00980000e+00, 8.11800000e-01, 3.30000000e-02,\n", - " 1.32000000e-02, 9.90000000e-03, 2.97000000e-01, 1.32000000e-02,\n", - " 1.37610000e+00, 2.95020000e+00, 1.32000000e-01, 2.70600000e-01,\n", - " 6.07200000e-01, 1.65000000e-02, 7.59000000e-02, 8.91000000e-01,\n", - " 9.57000000e-02, 1.58400000e-01, 3.39900000e-01, 1.85130000e+00,\n", - " 1.01970000e+00, 2.11200000e-01, 3.33300000e-01, 4.42200000e-01,\n", - " 4.95000000e-02, 2.24400000e-01, 2.83800000e-01, 1.18800000e-01,\n", - " 1.65000000e-02, 1.78200000e-01, 8.58000000e-02, 8.25000000e-02,\n", - " 1.88100000e-01, 2.34300000e-01, 3.46500000e-01, 9.24000000e-02,\n", - " 9.90000000e-03, 1.25400000e-01, 1.59390000e+00, 8.91000000e-02,\n", - " 7.78800000e-01, 7.92000000e-02, 2.83800000e-01, 1.61700000e+00,\n", - " 2.53770000e+00, 5.67600000e-01, 1.08240000e+00, 1.25400000e-01,\n", - " 1.15500000e-01, 8.25000000e-02, 6.03900000e-01, 9.90000000e-02,\n", - " 1.05600000e-01, 5.94000000e-02, 1.65000000e-01, 1.58400000e-01,\n", - " 1.68300000e+00, 4.85100000e-01, 1.91400000e-01, 3.30000000e-03,\n", - " 1.61700000e-01, 6.10500000e-01, 7.02900000e-01, 6.60000000e-01,\n", - " 6.27000000e-02, 2.44200000e-01, 4.62000000e-01, 8.25000000e-02,\n", - " 2.07900000e-01, 1.25400000e-01, 5.61000000e-02, 9.24000000e-02,\n", - " 2.01300000e-01, 1.55100000e-01, 1.35300000e-01, 2.64000000e-02,\n", - " 9.93300000e-01, 1.26390000e+00, 4.95000000e-02, 5.28000000e-02,\n", - " 1.15500000e-01, 3.68940000e+00, 1.99650000e+00, 4.29000000e-02,\n", - " 1.40910000e+00, 7.32600000e-01, 3.30000000e-03, 1.41900000e-01,\n", - " 7.92000000e-02, 6.73200000e-01, 9.90000000e-01, 1.35960000e+00,\n", - " 9.24000000e-02, 2.64330000e+00, 4.52100000e-01, 1.91400000e+00,\n", - " 2.47500000e-01, 3.46500000e-01, 1.47510000e+00, 1.11540000e+00,\n", - " 4.58700000e-01, 5.24700000e-01, 0.00000000e+00, 3.30000000e-01,\n", - " 2.93700000e-01, 3.96000000e-02, 1.98000000e-02, 3.63000000e-02,\n", - " 5.61000000e-02, 1.05600000e-01, 2.17800000e-01, 1.48500000e-01,\n", - " 1.25400000e-01, 5.90700000e-01, 6.43500000e-01, 1.32000000e-02,\n", - " 1.28700000e-01, 1.78200000e-01, 7.92000000e-02, 1.22100000e-01,\n", - " 6.60000000e-02, 2.14500000e-01, 5.51100000e-01, 7.92000000e-02,\n", - " 6.27000000e-02, 3.61680000e+00, 1.41900000e-01, 1.22100000e-01,\n", - " 1.05600000e-01, 6.76500000e-01, 1.55100000e-01, 5.61000000e-02,\n", - " 4.75200000e-01, 1.25400000e-01, 8.74500000e-01, 2.31000000e-01,\n", - " 1.97670000e+00, 1.42890000e+00, 1.35300000e+00, 1.22100000e-01,\n", - " 1.32000000e-02, 1.55100000e-01, 3.63000000e-02, 8.91000000e-02,\n", - " 1.83480000e+00, 9.57000000e-02, 9.90000000e-03, 5.28000000e-02,\n", - " 1.22760000e+00, 3.10200000e-01, 7.26000000e-02, 2.50800000e-01,\n", - " 1.21440000e+00, 2.20440000e+00, 4.03920000e+00, 4.68600000e-01,\n", - " 2.12520000e+00, 2.85450000e+00, 2.47500000e-01, 1.28700000e-01,\n", - " 3.46500000e-01, 4.84440000e+00, 2.58720000e+00, 1.32000000e-02,\n", - " 1.48500000e-01, 2.17800000e-01, 9.24000000e-02, 4.22400000e-01,\n", - " 1.91400000e-01, 3.30000000e-01, 3.66300000e-01, 1.95030000e+00,\n", - " 4.58700000e-01, 2.64000000e-02, 5.54400000e-01, 8.74500000e-01,\n", - " 5.24700000e-01, 4.58700000e-01, 2.97000000e-02, 2.54100000e-01,\n", - " 1.55100000e-01, 5.61000000e-02, 2.97000000e-02, 2.43870000e+00,\n", - " 1.78200000e-01, 6.93000000e-02, 2.31000000e-01, 4.42200000e-01,\n", - " 2.61030000e+00, 1.45860000e+00, 2.27700000e-01, 3.16800000e-01,\n", - " 1.28040000e+00, 1.81500000e-01, 3.10200000e-01, 9.90000000e-01,\n", - " 8.38200000e-01, 1.22100000e-01, 1.52130000e+00, 1.38600000e-01,\n", - " 3.02940000e+00, 1.61700000e-01, 4.85100000e-01, 2.31000000e-02,\n", - " 1.65000000e-02, 4.29000000e-02, 2.50800000e-01, 1.68300000e-01,\n", - " 2.70600000e-01, 1.48500000e-01, 1.15500000e-01, 1.41900000e-01,\n", - " 4.98300000e-01, 1.71600000e-01, 6.93000000e-02, 6.60000000e-01,\n", - " 5.61000000e-02, 2.11860000e+00, 5.11500000e-01, 5.21400000e-01,\n", - " 1.22100000e-01, 1.91400000e-01, 7.26000000e-02, 2.35620000e+00,\n", - " 9.24000000e-02, 4.29000000e-02, 4.91700000e-01, 4.36920000e+00,\n", - " 6.60000000e-02, 1.05600000e-01, 1.32000000e-02, 2.01960000e+00,\n", - " 3.30000000e-02, 4.55400000e-01, 6.60000000e-02, 1.81830000e+00,\n", - " 7.39200000e-01, 2.97000000e-02, 6.60000000e-03, 1.22100000e+00,\n", - " 2.31000000e-02, 2.01300000e-01, 6.73200000e-01, 1.78200000e-01,\n", - " 8.15100000e-01, 2.73900000e-01, 5.80800000e-01, 9.24000000e-02,\n", - " 1.71600000e-01, 2.97000000e-02, 2.51130000e+00, 2.57400000e+00,\n", - " 5.57700000e-01, 1.36950000e+00, 2.81160000e+00, 1.08900000e-01,\n", - " 1.65000000e-02, 5.61000000e-02, 1.15500000e-01, 1.48500000e-01,\n", - " 4.95000000e-02, 1.98000000e-02, 1.08900000e-01, 2.64000000e-01,\n", - " 3.66300000e-01, 1.08900000e-01, 5.94000000e-02, 5.61000000e-02,\n", - " 7.59000000e-02, 9.90000000e-03, 2.44200000e-01, 1.25400000e-01,\n", - " 5.94000000e-02, 3.06900000e-01, 2.64000000e-02, 4.71900000e-01,\n", - " 8.05200000e-01, 2.93700000e-01, 7.65600000e-01, 1.38930000e+00,\n", - " 4.38900000e-01, 2.11200000e+00, 2.31000000e-01, 4.05900000e-01,\n", - " 7.92000000e-01, 3.20100000e-01, 1.51800000e-01, 1.91400000e-01,\n", - " 8.58000000e-02, 1.08900000e-01, 3.30000000e-03, 1.22100000e-01,\n", - " 5.61000000e-02, 2.97000000e-02, 1.35300000e-01, 6.17100000e-01,\n", - " 1.45200000e-01, 1.18800000e-01, 4.95000000e-02, 2.14500000e-01,\n", - " 1.41240000e+00, 5.97300000e-01, 1.61700000e-01, 3.92700000e-01,\n", - " 1.15500000e-01, 2.90400000e+00, 2.04600000e-01, 9.86700000e-01,\n", - " 1.98000000e-01, 2.50800000e-01, 1.02300000e-01, 2.90400000e-01,\n", - " 1.51800000e-01, 1.08900000e-01, 3.69600000e-01, 1.98000000e-02,\n", - " 5.94000000e-02, 1.55100000e-01, 1.15500000e-01, 1.51800000e-01,\n", - " 4.29000000e-02, 2.21100000e-01, 1.32000000e+00, 3.79500000e-01,\n", - " 5.97300000e-01, 3.59700000e-01, 2.07900000e-01, 4.55400000e-01,\n", - " 1.52130000e+00, 1.15830000e+00, 8.58000000e-02, 3.43200000e-01,\n", - " 1.74900000e-01, 2.27700000e-01, 5.14800000e-01, 9.80100000e-01,\n", - " 9.90000000e-03, 1.65000000e-02, 1.16490000e+00, 1.20120000e+00,\n", - " 1.84800000e-01, 2.31000000e-02, 1.28700000e-01, 8.58000000e-02,\n", - " 9.90000000e-03, 2.31000000e-02, 9.90000000e-02, 1.15500000e-01,\n", - " 1.31010000e+00, 6.33600000e-01, 6.93000000e-02, 1.94700000e-01,\n", - " 1.35960000e+00, 7.92000000e-02, 2.46840000e+00, 1.18800000e-01,\n", - " 1.77870000e+00, 1.61700000e-01, 7.02900000e-01, 1.32000000e-02,\n", - " 4.29000000e-02, 1.12200000e-01, 4.62000000e-02, 7.49100000e-01,\n", - " 4.55400000e-01, 3.59700000e-01, 5.28000000e-02, 1.41900000e-01,\n", - " 9.90000000e-03, 6.07200000e-01, 1.68300000e-01, 1.98000000e-02,\n", - " 2.77200000e-01, 9.66900000e-01, 3.43200000e-01, 3.30000000e-03,\n", - " 1.43220000e+00, 9.90000000e-02, 1.00980000e+00, 1.65000000e-02,\n", - " 9.90000000e-03, 1.28700000e-01, 6.00600000e-01, 9.24000000e-02,\n", - " 2.50800000e-01, 5.84100000e-01, 2.97000000e-02, 3.96000000e-02,\n", - " 2.08560000e+00, 1.32000000e-02, 1.32000000e-02, 1.05600000e-01,\n", - " 1.22100000e-01, 1.05600000e-01, 3.63000000e-02, 1.78200000e-01,\n", - " 1.51800000e-01, 2.11200000e-01, 1.58400000e-01, 4.55400000e-01,\n", - " 8.21700000e-01, 6.27000000e-02, 3.30000000e-02, 8.58000000e-02,\n", - " 1.41900000e-01, 1.45200000e-01, 4.75200000e-01, 5.61000000e-02,\n", - " 2.97000000e-02, 1.61700000e-01, 8.41500000e-01, 2.73900000e-01,\n", - " 1.55100000e-01, 5.84760000e+00, 6.60000000e-03, 7.26000000e-02,\n", - " 6.93000000e-02, 1.98000000e-02, 2.31000000e-02, 2.97000000e-02,\n", - " 2.64000000e-02, 1.91400000e-01, 4.62000000e-02, 6.13800000e-01,\n", - " 3.17460000e+00, 1.81500000e-01, 6.27000000e-02, 2.14500000e-01,\n", - " 1.14510000e+00, 8.91000000e-02, 5.61000000e-02, 2.47500000e-01,\n", - " 4.95000000e-02, 2.87100000e-01, 4.88400000e-01, 3.99300000e-01,\n", - " 3.63000000e-02, 1.84800000e-01, 1.28700000e-01, 9.57000000e-02,\n", - " 1.55100000e-01, 8.64600000e-01, 1.84800000e-01, 3.00300000e-01,\n", - " 4.88400000e-01, 5.94000000e-01, 4.62000000e-02, 1.32000000e-01,\n", - " 5.47800000e-01, 5.01600000e-01, 1.78860000e+00, 4.29000000e-02,\n", - " 6.56700000e-01, 7.92000000e-02, 1.94700000e-01, 2.73900000e-01,\n", - " 6.60000000e-02, 2.73900000e-01, 9.90000000e-02, 8.25000000e-02,\n", - " 2.31000000e-01, 2.60700000e-01, 5.94000000e-02, 2.64000000e-02,\n", - " 2.11200000e-01, 3.72900000e-01, 2.34300000e-01, 1.55100000e-01,\n", - " 8.91000000e-02, 9.90000000e-03, 3.76200000e-01, 1.05930000e+00,\n", - " 1.41900000e-01, 7.26000000e-02, 3.30000000e-03, 2.17800000e-01,\n", - " 1.55100000e-01, 4.95000000e-02, 5.94000000e-02, 2.60700000e-01,\n", - " 7.92000000e-02, 1.68960000e+00, 1.55100000e-01, 5.94000000e-02,\n", - " 0.00000000e+00, 3.36600000e-01, 7.92000000e-02, 1.05600000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.48158894e+03, -2.52731782e+03, 9.61221712e+01, 4.34376973e+01,\n", - " 0.00000000e+00, 0.00000000e+00, 1.71659635e+02, 0.00000000e+00,\n", - " 0.00000000e+00, 1.13350631e+02, 0.00000000e+00, 1.25703747e+02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 1.67500000e-01, 7.82500000e-01, 1.52750000e+00, 1.08250000e+00,\n", - " 5.75000000e-02, 1.05000000e-01, 7.00000000e-02, 1.47500000e-01,\n", - " 2.42500000e-01, 3.75000000e-02, 1.47500000e-01, 1.17500000e-01,\n", - " 2.63000000e+00, 1.00000000e-02, 3.50000000e-02, 2.25000000e-02,\n", - " 1.31250000e+00, 9.45000000e-01, 1.42500000e-01, 2.22500000e-01,\n", - " 5.25000000e-02, 2.75000000e-02, 1.50000000e-02, 0.00000000e+00,\n", - " 5.00000000e-02, 1.65000000e-01, 1.25000000e-02, 9.62500000e-01,\n", - " 1.87500000e-01, 7.72500000e-01, 4.10000000e-01, 3.12500000e-01,\n", - " 3.45000000e-01, 1.50000000e-02, 0.00000000e+00, 1.75000000e-02,\n", - " 1.95000000e-01, 9.00000000e-02, 4.50000000e-02, 3.25000000e-02,\n", - " 1.12500000e-01, 1.05000000e-01, 2.82500000e-01, 5.95000000e-01,\n", - " 9.50000000e-02, 9.87500000e-01, 3.12500000e-01, 1.25750000e+00,\n", - " 1.57500000e-01, 4.39500000e+00, 2.75000000e-02, 3.50000000e-02,\n", - " 1.15000000e-01, 8.25000000e-02, 1.85000000e-01, 4.50000000e-02,\n", - " 1.65000000e-01, 1.31500000e+00, 2.28250000e+00, 6.12500000e-01,\n", - " 4.27500000e-01, 3.75000000e-01, 1.50000000e-01, 6.40000000e-01,\n", - " 7.75000000e-02, 6.25000000e-02, 6.10000000e-01, 5.20000000e-01,\n", - " 2.50000000e-02, 0.00000000e+00, 1.15000000e-01, 1.17500000e-01,\n", - " 1.00000000e-02, 2.75000000e-02, 2.10000000e-01, 4.30000000e-01,\n", - " 2.55000000e-01, 8.25000000e-02, 8.50000000e-02, 6.30000000e-01,\n", - " 1.46500000e+00, 1.30250000e+00, 2.85000000e-01, 4.60000000e-01,\n", - " 5.37500000e-01, 6.00000000e-01, 6.75000000e-02, 1.40000000e-01,\n", - " 2.50000000e-02, 3.00000000e-02, 4.50000000e-02, 0.00000000e+00,\n", - " 1.25000000e-02, 3.50000000e-02, 5.07500000e-01, 1.32500000e-01,\n", - " 1.50000000e-02, 0.00000000e+00, 3.75000000e-02, 4.07500000e-01,\n", - " 3.25000000e-01, 1.16000000e+00, 1.52000000e+00, 2.82500000e-01,\n", - " 4.50000000e-02, 2.25000000e-02, 1.17500000e-01, 2.25000000e-02,\n", - " 6.72500000e-01, 5.22500000e-01, 1.60000000e-01, 1.30000000e-01,\n", - " 1.36250000e+00, 2.75000000e-01, 0.00000000e+00, 6.57500000e-01,\n", - " 4.32500000e-01, 2.13500000e+00, 3.45000000e-01, 1.02250000e+00,\n", - " 2.12500000e-01, 2.90000000e-01, 7.92500000e-01, 1.33000000e+00,\n", - " 1.19000000e+00, 2.38250000e+00, 3.55000000e-01, 1.52500000e-01,\n", - " 1.01250000e+00, 1.25500000e+00, 4.27500000e-01, 2.35000000e-01,\n", - " 5.00000000e-02, 2.00000000e-01, 3.72500000e-01, 2.60000000e-01,\n", - " 2.20000000e-01, 6.50000000e-01, 1.85000000e-01, 6.25000000e-02,\n", - " 1.24250000e+00, 1.05750000e+00, 9.27500000e-01, 9.70000000e-01,\n", - " 1.47500000e-01, 1.67500000e-01, 3.25000000e-02, 8.75000000e-02,\n", - " 1.80000000e-01, 3.45000000e-01, 0.00000000e+00, 0.00000000e+00,\n", - " 2.48250000e+00, 3.61000000e+00, 7.83750000e+00, 2.05000000e-01,\n", - " 2.25000000e-01, 1.22500000e-01, 2.75000000e-02, 3.00000000e-02,\n", - " 7.50000000e-02, 6.50000000e-02, 4.02500000e-01, 3.67500000e-01,\n", - " 3.45000000e-01, 1.00000000e-01, 2.59000000e+00, 4.74250000e+00,\n", - " 7.25000000e-02, 6.25000000e-02, 1.67500000e-01, 6.75000000e-02,\n", - " 7.50000000e-02, 1.77500000e-01, 3.35000000e-01, 1.20000000e-01,\n", - " 1.70000000e-01, 1.75000000e-01, 2.25000000e-02, 4.27500000e-01,\n", - " 5.50000000e-02, 1.32500000e-01, 1.57500000e-01, 4.07500000e-01,\n", - " 3.17500000e-01, 2.75000000e-02, 4.72500000e-01, 1.42500000e-01,\n", - " 1.02500000e-01, 1.12500000e-01, 2.65000000e-01, 1.35000000e-01,\n", - " 2.92500000e-01, 1.50000000e-02, 1.37500000e-01, 8.50000000e-02,\n", - " 1.20000000e-01, 4.25000000e-02, 4.89750000e+00, 1.25000000e-01,\n", - " 1.10000000e-01, 5.00000000e+00, 1.80000000e-01, 3.25000000e-02,\n", - " 0.00000000e+00, 3.25000000e-02, 1.50000000e-02, 1.25000000e-01,\n", - " 1.72500000e-01, 3.50000000e-02, 1.32500000e-01, 1.65000000e+00,\n", - " 1.05250000e+00, 1.27250000e+00, 4.44000000e+00, 3.85500000e+00,\n", - " 1.05000000e-01, 6.00000000e-02, 1.01000000e+00, 6.50000000e-01,\n", - " 2.19750000e+00, 1.56000000e+00, 2.25000000e-02, 5.50000000e-01,\n", - " 1.57500000e-01, 2.23250000e+00, 1.25000000e-02, 1.75000000e-02,\n", - " 2.75000000e-02, 1.25000000e-02, 7.87500000e-01, 6.22500000e-01,\n", - " 6.25000000e-01, 1.96250000e+00, 1.02500000e-01, 2.50000000e-02,\n", - " 9.77500000e-01, 3.25000000e-02, 1.02500000e-01, 1.57750000e+00,\n", - " 1.07500000e-01, 1.00000000e-01, 9.50000000e-02, 1.10000000e-01,\n", - " 5.75000000e-02, 1.27750000e+00, 7.25000000e-01, 2.25000000e-01,\n", - " 3.42500000e-01, 1.20000000e-01, 2.25000000e-02, 6.40000000e-01,\n", - " 4.00000000e-01, 9.12500000e-01, 9.00000000e-02, 1.60000000e-01,\n", - " 5.75000000e-02, 9.25000000e-02, 1.87500000e-01, 7.17500000e-01,\n", - " 2.02500000e-01, 7.37500000e-01, 2.82500000e-01, 1.05000000e-01,\n", - " 2.20000000e-01, 3.77500000e-01, 6.30000000e-01, 1.72000000e+00,\n", - " 1.92500000e-01, 9.12500000e-01, 8.50000000e-02, 8.25000000e-02,\n", - " 2.25000000e-01, 4.57500000e-01, 1.75000000e-01, 5.20000000e-01,\n", - " 3.50000000e-02, 1.17500000e-01, 6.50000000e-01, 3.40000000e-01,\n", - " 4.25000000e-02, 7.75000000e-02, 2.72500000e-01, 1.57500000e-01,\n", - " 2.97500000e-01, 2.00000000e-01, 2.75000000e-02, 8.75000000e-02,\n", - " 2.00000000e-02, 2.50000000e-03, 1.01500000e+00, 1.35750000e+00,\n", - " 6.50000000e-02, 4.75000000e-02, 3.00250000e+00, 1.35500000e+00,\n", - " 2.57500000e-01, 1.01500000e+00, 1.57500000e-01, 5.30000000e-01,\n", - " 7.00000000e-02, 6.25000000e-02, 7.07500000e-01, 8.50000000e-02,\n", - " 3.25000000e-02, 4.92500000e-01, 2.77500000e-01, 1.30000000e-01,\n", - " 1.14500000e+00, 4.00000000e-02, 9.25000000e-02, 4.75000000e-02,\n", - " 6.75000000e-02, 2.50000000e-02, 1.56250000e+00, 8.15000000e-01,\n", - " 9.25000000e-02, 4.25000000e-02, 6.65000000e-01, 7.00000000e-02,\n", - " 3.32500000e-01, 2.50000000e-03, 3.07500000e-01, 3.95000000e-01,\n", - " 1.12500000e-01, 3.72500000e-01, 6.25000000e-02, 1.98750000e+00,\n", - " 8.50000000e-02, 8.25000000e-02, 7.75000000e-02, 2.86000000e+00,\n", - " 8.75000000e-02, 2.07500000e-01, 2.25000000e-02, 1.25000000e-02,\n", - " 6.92500000e-01, 2.47500000e-01, 2.00000000e-02, 0.00000000e+00,\n", - " 8.80000000e-01, 4.55000000e-01, 1.31000000e+00, 5.70000000e-01,\n", - " 1.50000000e-02, 1.00000000e-02, 7.50000000e-02, 3.40000000e-01,\n", - " 4.02500000e-01, 6.25000000e-02, 0.00000000e+00, 2.25000000e-02,\n", - " 2.35000000e-01, 4.50000000e-02, 8.00000000e-02, 1.32500000e-01,\n", - " 8.77500000e-01, 5.75000000e-01, 1.75000000e-02, 6.00000000e-02,\n", - " 3.25000000e-02, 2.50000000e-02, 2.50000000e-02, 7.50000000e-02,\n", - " 7.50000000e-02, 9.62500000e-01, 9.17500000e-01, 7.00000000e-02,\n", - " 9.75000000e-02, 3.75000000e-02, 2.75000000e-02, 8.25000000e-02,\n", - " 2.50000000e-02, 2.50000000e-02, 1.70000000e-01, 1.30000000e-01,\n", - " 1.77500000e-01, 2.22500000e-01, 1.89750000e+00, 3.90000000e-01,\n", - " 3.45000000e-01, 3.60000000e-01, 6.72500000e-01, 5.00000000e-02,\n", - " 3.25000000e-01, 9.27500000e-01, 6.50000000e-02, 2.64000000e+00,\n", - " 1.97750000e+00, 1.21250000e+00, 1.35000000e-01, 3.75000000e-02,\n", - " 2.21250000e+00, 5.60000000e-01, 9.32500000e-01, 2.05000000e-01,\n", - " 4.75000000e-02, 7.65000000e-01, 6.15000000e-01, 2.50000000e-02,\n", - " 1.00000000e-02, 7.50000000e-03, 2.25000000e-01, 1.00000000e-02,\n", - " 1.04250000e+00, 2.23500000e+00, 1.00000000e-01, 2.05000000e-01,\n", - " 4.60000000e-01, 1.25000000e-02, 5.75000000e-02, 6.75000000e-01,\n", - " 7.25000000e-02, 1.20000000e-01, 2.57500000e-01, 1.40250000e+00,\n", - " 7.72500000e-01, 1.60000000e-01, 2.52500000e-01, 3.35000000e-01,\n", - " 3.75000000e-02, 1.70000000e-01, 2.15000000e-01, 9.00000000e-02,\n", - " 1.25000000e-02, 1.35000000e-01, 6.50000000e-02, 6.25000000e-02,\n", - " 1.42500000e-01, 1.77500000e-01, 2.62500000e-01, 7.00000000e-02,\n", - " 7.50000000e-03, 9.50000000e-02, 1.20750000e+00, 6.75000000e-02,\n", - " 5.90000000e-01, 6.00000000e-02, 2.15000000e-01, 1.22500000e+00,\n", - " 1.92250000e+00, 4.30000000e-01, 8.20000000e-01, 9.50000000e-02,\n", - " 8.75000000e-02, 6.25000000e-02, 4.57500000e-01, 7.50000000e-02,\n", - " 8.00000000e-02, 4.50000000e-02, 1.25000000e-01, 1.20000000e-01,\n", - " 1.27500000e+00, 3.67500000e-01, 1.45000000e-01, 2.50000000e-03,\n", - " 1.22500000e-01, 4.62500000e-01, 5.32500000e-01, 5.00000000e-01,\n", - " 4.75000000e-02, 1.85000000e-01, 3.50000000e-01, 6.25000000e-02,\n", - " 1.57500000e-01, 9.50000000e-02, 4.25000000e-02, 7.00000000e-02,\n", - " 1.52500000e-01, 1.17500000e-01, 1.02500000e-01, 2.00000000e-02,\n", - " 7.52500000e-01, 9.57500000e-01, 3.75000000e-02, 4.00000000e-02,\n", - " 8.75000000e-02, 2.79500000e+00, 1.51250000e+00, 3.25000000e-02,\n", - " 1.06750000e+00, 5.55000000e-01, 2.50000000e-03, 1.07500000e-01,\n", - " 6.00000000e-02, 5.10000000e-01, 7.50000000e-01, 1.03000000e+00,\n", - " 7.00000000e-02, 2.00250000e+00, 3.42500000e-01, 1.45000000e+00,\n", - " 1.87500000e-01, 2.62500000e-01, 1.11750000e+00, 8.45000000e-01,\n", - " 3.47500000e-01, 3.97500000e-01, 0.00000000e+00, 2.50000000e-01,\n", - " 2.22500000e-01, 3.00000000e-02, 1.50000000e-02, 2.75000000e-02,\n", - " 4.25000000e-02, 8.00000000e-02, 1.65000000e-01, 1.12500000e-01,\n", - " 9.50000000e-02, 4.47500000e-01, 4.87500000e-01, 1.00000000e-02,\n", - " 9.75000000e-02, 1.35000000e-01, 6.00000000e-02, 9.25000000e-02,\n", - " 5.00000000e-02, 1.62500000e-01, 4.17500000e-01, 6.00000000e-02,\n", - " 4.75000000e-02, 2.74000000e+00, 1.07500000e-01, 9.25000000e-02,\n", - " 8.00000000e-02, 5.12500000e-01, 1.17500000e-01, 4.25000000e-02,\n", - " 3.60000000e-01, 9.50000000e-02, 6.62500000e-01, 1.75000000e-01,\n", - " 1.49750000e+00, 1.08250000e+00, 1.02500000e+00, 9.25000000e-02,\n", - " 1.00000000e-02, 1.17500000e-01, 2.75000000e-02, 6.75000000e-02,\n", - " 1.39000000e+00, 7.25000000e-02, 7.50000000e-03, 4.00000000e-02,\n", - " 9.30000000e-01, 2.35000000e-01, 5.50000000e-02, 1.90000000e-01,\n", - " 9.20000000e-01, 1.67000000e+00, 3.06000000e+00, 3.55000000e-01,\n", - " 1.61000000e+00, 2.16250000e+00, 1.87500000e-01, 9.75000000e-02,\n", - " 2.62500000e-01, 3.67000000e+00, 1.96000000e+00, 1.00000000e-02,\n", - " 1.12500000e-01, 1.65000000e-01, 7.00000000e-02, 3.20000000e-01,\n", - " 1.45000000e-01, 2.50000000e-01, 2.77500000e-01, 1.47750000e+00,\n", - " 3.47500000e-01, 2.00000000e-02, 4.20000000e-01, 6.62500000e-01,\n", - " 3.97500000e-01, 3.47500000e-01, 2.25000000e-02, 1.92500000e-01,\n", - " 1.17500000e-01, 4.25000000e-02, 2.25000000e-02, 1.84750000e+00,\n", - " 1.35000000e-01, 5.25000000e-02, 1.75000000e-01, 3.35000000e-01,\n", - " 1.97750000e+00, 1.10500000e+00, 1.72500000e-01, 2.40000000e-01,\n", - " 9.70000000e-01, 1.37500000e-01, 2.35000000e-01, 7.50000000e-01,\n", - " 6.35000000e-01, 9.25000000e-02, 1.15250000e+00, 1.05000000e-01,\n", - " 2.29500000e+00, 1.22500000e-01, 3.67500000e-01, 1.75000000e-02,\n", - " 1.25000000e-02, 3.25000000e-02, 1.90000000e-01, 1.27500000e-01,\n", - " 2.05000000e-01, 1.12500000e-01, 8.75000000e-02, 1.07500000e-01,\n", - " 3.77500000e-01, 1.30000000e-01, 5.25000000e-02, 5.00000000e-01,\n", - " 4.25000000e-02, 1.60500000e+00, 3.87500000e-01, 3.95000000e-01,\n", - " 9.25000000e-02, 1.45000000e-01, 5.50000000e-02, 1.78500000e+00,\n", - " 7.00000000e-02, 3.25000000e-02, 3.72500000e-01, 3.31000000e+00,\n", - " 5.00000000e-02, 8.00000000e-02, 1.00000000e-02, 1.53000000e+00,\n", - " 2.50000000e-02, 3.45000000e-01, 5.00000000e-02, 1.37750000e+00,\n", - " 5.60000000e-01, 2.25000000e-02, 5.00000000e-03, 9.25000000e-01,\n", - " 1.75000000e-02, 1.52500000e-01, 5.10000000e-01, 1.35000000e-01,\n", - " 6.17500000e-01, 2.07500000e-01, 4.40000000e-01, 7.00000000e-02,\n", - " 1.30000000e-01, 2.25000000e-02, 1.90250000e+00, 1.95000000e+00,\n", - " 4.22500000e-01, 1.03750000e+00, 2.13000000e+00, 8.25000000e-02,\n", - " 1.25000000e-02, 4.25000000e-02, 8.75000000e-02, 1.12500000e-01,\n", - " 3.75000000e-02, 1.50000000e-02, 8.25000000e-02, 2.00000000e-01,\n", - " 2.77500000e-01, 8.25000000e-02, 4.50000000e-02, 4.25000000e-02,\n", - " 5.75000000e-02, 7.50000000e-03, 1.85000000e-01, 9.50000000e-02,\n", - " 4.50000000e-02, 2.32500000e-01, 2.00000000e-02, 3.57500000e-01,\n", - " 6.10000000e-01, 2.22500000e-01, 5.80000000e-01, 1.05250000e+00,\n", - " 3.32500000e-01, 1.60000000e+00, 1.75000000e-01, 3.07500000e-01,\n", - " 6.00000000e-01, 2.42500000e-01, 1.15000000e-01, 1.45000000e-01,\n", - " 6.50000000e-02, 8.25000000e-02, 2.50000000e-03, 9.25000000e-02,\n", - " 4.25000000e-02, 2.25000000e-02, 1.02500000e-01, 4.67500000e-01,\n", - " 1.10000000e-01, 9.00000000e-02, 3.75000000e-02, 1.62500000e-01,\n", - " 1.07000000e+00, 4.52500000e-01, 1.22500000e-01, 2.97500000e-01,\n", - " 8.75000000e-02, 2.20000000e+00, 1.55000000e-01, 7.47500000e-01,\n", - " 1.50000000e-01, 1.90000000e-01, 7.75000000e-02, 2.20000000e-01,\n", - " 1.15000000e-01, 8.25000000e-02, 2.80000000e-01, 1.50000000e-02,\n", - " 4.50000000e-02, 1.17500000e-01, 8.75000000e-02, 1.15000000e-01,\n", - " 3.25000000e-02, 1.67500000e-01, 1.00000000e+00, 2.87500000e-01,\n", - " 4.52500000e-01, 2.72500000e-01, 1.57500000e-01, 3.45000000e-01,\n", - " 1.15250000e+00, 8.77500000e-01, 6.50000000e-02, 2.60000000e-01,\n", - " 1.32500000e-01, 1.72500000e-01, 3.90000000e-01, 7.42500000e-01,\n", - " 7.50000000e-03, 1.25000000e-02, 8.82500000e-01, 9.10000000e-01,\n", - " 1.40000000e-01, 1.75000000e-02, 9.75000000e-02, 6.50000000e-02,\n", - " 7.50000000e-03, 1.75000000e-02, 7.50000000e-02, 8.75000000e-02,\n", - " 9.92500000e-01, 4.80000000e-01, 5.25000000e-02, 1.47500000e-01,\n", - " 1.03000000e+00, 6.00000000e-02, 1.87000000e+00, 9.00000000e-02,\n", - " 1.34750000e+00, 1.22500000e-01, 5.32500000e-01, 1.00000000e-02,\n", - " 3.25000000e-02, 8.50000000e-02, 3.50000000e-02, 5.67500000e-01,\n", - " 3.45000000e-01, 2.72500000e-01, 4.00000000e-02, 1.07500000e-01,\n", - " 7.50000000e-03, 4.60000000e-01, 1.27500000e-01, 1.50000000e-02,\n", - " 2.10000000e-01, 7.32500000e-01, 2.60000000e-01, 2.50000000e-03,\n", - " 1.08500000e+00, 7.50000000e-02, 7.65000000e-01, 1.25000000e-02,\n", - " 7.50000000e-03, 9.75000000e-02, 4.55000000e-01, 7.00000000e-02,\n", - " 1.90000000e-01, 4.42500000e-01, 2.25000000e-02, 3.00000000e-02,\n", - " 1.58000000e+00, 1.00000000e-02, 1.00000000e-02, 8.00000000e-02,\n", - " 9.25000000e-02, 8.00000000e-02, 2.75000000e-02, 1.35000000e-01,\n", - " 1.15000000e-01, 1.60000000e-01, 1.20000000e-01, 3.45000000e-01,\n", - " 6.22500000e-01, 4.75000000e-02, 2.50000000e-02, 6.50000000e-02,\n", - " 1.07500000e-01, 1.10000000e-01, 3.60000000e-01, 4.25000000e-02,\n", - " 2.25000000e-02, 1.22500000e-01, 6.37500000e-01, 2.07500000e-01,\n", - " 1.17500000e-01, 4.43000000e+00, 5.00000000e-03, 5.50000000e-02,\n", - " 5.25000000e-02, 1.50000000e-02, 1.75000000e-02, 2.25000000e-02,\n", - " 2.00000000e-02, 1.45000000e-01, 3.50000000e-02, 4.65000000e-01,\n", - " 2.40500000e+00, 1.37500000e-01, 4.75000000e-02, 1.62500000e-01,\n", - " 8.67500000e-01, 6.75000000e-02, 4.25000000e-02, 1.87500000e-01,\n", - " 3.75000000e-02, 2.17500000e-01, 3.70000000e-01, 3.02500000e-01,\n", - " 2.75000000e-02, 1.40000000e-01, 9.75000000e-02, 7.25000000e-02,\n", - " 1.17500000e-01, 6.55000000e-01, 1.40000000e-01, 2.27500000e-01,\n", - " 3.70000000e-01, 4.50000000e-01, 3.50000000e-02, 1.00000000e-01,\n", - " 4.15000000e-01, 3.80000000e-01, 1.35500000e+00, 3.25000000e-02,\n", - " 4.97500000e-01, 6.00000000e-02, 1.47500000e-01, 2.07500000e-01,\n", - " 5.00000000e-02, 2.07500000e-01, 7.50000000e-02, 6.25000000e-02,\n", - " 1.75000000e-01, 1.97500000e-01, 4.50000000e-02, 2.00000000e-02,\n", - " 1.60000000e-01, 2.82500000e-01, 1.77500000e-01, 1.17500000e-01,\n", - " 6.75000000e-02, 7.50000000e-03, 2.85000000e-01, 8.02500000e-01,\n", - " 1.07500000e-01, 5.50000000e-02, 2.50000000e-03, 1.65000000e-01,\n", - " 1.17500000e-01, 3.75000000e-02, 4.50000000e-02, 1.97500000e-01,\n", - " 6.00000000e-02, 1.28000000e+00, 1.17500000e-01, 4.50000000e-02,\n", - " 0.00000000e+00, 2.55000000e-01, 6.00000000e-02, 8.00000000e-02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.48651780e+03, -2.52731782e+03, 1.02191144e+02, 5.29061175e+01,\n", - " 0.00000000e+00, 0.00000000e+00, 1.87828851e+02, 0.00000000e+00,\n", - " 0.00000000e+00, 1.26116660e+02, 0.00000000e+00, 1.96412498e+02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 1.40030000e-01, 6.54170000e-01, 1.27699000e+00, 9.04970000e-01,\n", - " 4.80700000e-02, 8.77800000e-02, 5.85200000e-02, 1.23310000e-01,\n", - " 2.02730000e-01, 3.13500000e-02, 1.23310000e-01, 9.82300000e-02,\n", - " 2.19868000e+00, 8.36000000e-03, 2.92600000e-02, 1.88100000e-02,\n", - " 1.09725000e+00, 7.90020000e-01, 1.19130000e-01, 1.86010000e-01,\n", - " 4.38900000e-02, 2.29900000e-02, 1.25400000e-02, 0.00000000e+00,\n", - " 4.18000000e-02, 1.37940000e-01, 1.04500000e-02, 8.04650000e-01,\n", - " 1.56750000e-01, 6.45810000e-01, 3.42760000e-01, 2.61250000e-01,\n", - " 2.88420000e-01, 1.25400000e-02, 0.00000000e+00, 1.46300000e-02,\n", - " 1.63020000e-01, 7.52400000e-02, 3.76200000e-02, 2.71700000e-02,\n", - " 9.40500000e-02, 8.77800000e-02, 2.36170000e-01, 4.97420000e-01,\n", - " 7.94200000e-02, 8.25550000e-01, 2.61250000e-01, 1.05127000e+00,\n", - " 1.31670000e-01, 3.67422000e+00, 2.29900000e-02, 2.92600000e-02,\n", - " 9.61400000e-02, 6.89700000e-02, 1.54660000e-01, 3.76200000e-02,\n", - " 1.37940000e-01, 1.09934000e+00, 1.90817000e+00, 5.12050000e-01,\n", - " 3.57390000e-01, 3.13500000e-01, 1.25400000e-01, 5.35040000e-01,\n", - " 6.47900000e-02, 5.22500000e-02, 5.09960000e-01, 4.34720000e-01,\n", - " 2.09000000e-02, 0.00000000e+00, 9.61400000e-02, 9.82300000e-02,\n", - " 8.36000000e-03, 2.29900000e-02, 1.75560000e-01, 3.59480000e-01,\n", - " 2.13180000e-01, 6.89700000e-02, 7.10600000e-02, 5.26680000e-01,\n", - " 1.22474000e+00, 1.08889000e+00, 2.38260000e-01, 3.84560000e-01,\n", - " 4.49350000e-01, 5.01600000e-01, 5.64300000e-02, 1.17040000e-01,\n", - " 2.09000000e-02, 2.50800000e-02, 3.76200000e-02, 0.00000000e+00,\n", - " 1.04500000e-02, 2.92600000e-02, 4.24270000e-01, 1.10770000e-01,\n", - " 1.25400000e-02, 0.00000000e+00, 3.13500000e-02, 3.40670000e-01,\n", - " 2.71700000e-01, 9.69760000e-01, 1.27072000e+00, 2.36170000e-01,\n", - " 3.76200000e-02, 1.88100000e-02, 9.82300000e-02, 1.88100000e-02,\n", - " 5.62210000e-01, 4.36810000e-01, 1.33760000e-01, 1.08680000e-01,\n", - " 1.13905000e+00, 2.29900000e-01, 0.00000000e+00, 5.49670000e-01,\n", - " 3.61570000e-01, 1.78486000e+00, 2.88420000e-01, 8.54810000e-01,\n", - " 1.77650000e-01, 2.42440000e-01, 6.62530000e-01, 1.11188000e+00,\n", - " 9.94840000e-01, 1.99177000e+00, 2.96780000e-01, 1.27490000e-01,\n", - " 8.46450000e-01, 1.04918000e+00, 3.57390000e-01, 1.96460000e-01,\n", - " 4.18000000e-02, 1.67200000e-01, 3.11410000e-01, 2.17360000e-01,\n", - " 1.83920000e-01, 5.43400000e-01, 1.54660000e-01, 5.22500000e-02,\n", - " 1.03873000e+00, 8.84070000e-01, 7.75390000e-01, 8.10920000e-01,\n", - " 1.23310000e-01, 1.40030000e-01, 2.71700000e-02, 7.31500000e-02,\n", - " 1.50480000e-01, 2.88420000e-01, 0.00000000e+00, 0.00000000e+00,\n", - " 2.07537000e+00, 3.01796000e+00, 6.55215000e+00, 1.71380000e-01,\n", - " 1.88100000e-01, 1.02410000e-01, 2.29900000e-02, 2.50800000e-02,\n", - " 6.27000000e-02, 5.43400000e-02, 3.36490000e-01, 3.07230000e-01,\n", - " 2.88420000e-01, 8.36000000e-02, 2.16524000e+00, 3.96473000e+00,\n", - " 6.06100000e-02, 5.22500000e-02, 1.40030000e-01, 5.64300000e-02,\n", - " 6.27000000e-02, 1.48390000e-01, 2.80060000e-01, 1.00320000e-01,\n", - " 1.42120000e-01, 1.46300000e-01, 1.88100000e-02, 3.57390000e-01,\n", - " 4.59800000e-02, 1.10770000e-01, 1.31670000e-01, 3.40670000e-01,\n", - " 2.65430000e-01, 2.29900000e-02, 3.95010000e-01, 1.19130000e-01,\n", - " 8.56900000e-02, 9.40500000e-02, 2.21540000e-01, 1.12860000e-01,\n", - " 2.44530000e-01, 1.25400000e-02, 1.14950000e-01, 7.10600000e-02,\n", - " 1.00320000e-01, 3.55300000e-02, 4.09431000e+00, 1.04500000e-01,\n", - " 9.19600000e-02, 4.18000000e+00, 1.50480000e-01, 2.71700000e-02,\n", - " 0.00000000e+00, 2.71700000e-02, 1.25400000e-02, 1.04500000e-01,\n", - " 1.44210000e-01, 2.92600000e-02, 1.10770000e-01, 1.37940000e+00,\n", - " 8.79890000e-01, 1.06381000e+00, 3.71184000e+00, 3.22278000e+00,\n", - " 8.77800000e-02, 5.01600000e-02, 8.44360000e-01, 5.43400000e-01,\n", - " 1.83711000e+00, 1.30416000e+00, 1.88100000e-02, 4.59800000e-01,\n", - " 1.31670000e-01, 1.86637000e+00, 1.04500000e-02, 1.46300000e-02,\n", - " 2.29900000e-02, 1.04500000e-02, 6.58350000e-01, 5.20410000e-01,\n", - " 5.22500000e-01, 1.64065000e+00, 8.56900000e-02, 2.09000000e-02,\n", - " 8.17190000e-01, 2.71700000e-02, 8.56900000e-02, 1.31879000e+00,\n", - " 8.98700000e-02, 8.36000000e-02, 7.94200000e-02, 9.19600000e-02,\n", - " 4.80700000e-02, 1.06799000e+00, 6.06100000e-01, 1.88100000e-01,\n", - " 2.86330000e-01, 1.00320000e-01, 1.88100000e-02, 5.35040000e-01,\n", - " 3.34400000e-01, 7.62850000e-01, 7.52400000e-02, 1.33760000e-01,\n", - " 4.80700000e-02, 7.73300000e-02, 1.56750000e-01, 5.99830000e-01,\n", - " 1.69290000e-01, 6.16550000e-01, 2.36170000e-01, 8.77800000e-02,\n", - " 1.83920000e-01, 3.15590000e-01, 5.26680000e-01, 1.43792000e+00,\n", - " 1.60930000e-01, 7.62850000e-01, 7.10600000e-02, 6.89700000e-02,\n", - " 1.88100000e-01, 3.82470000e-01, 1.46300000e-01, 4.34720000e-01,\n", - " 2.92600000e-02, 9.82300000e-02, 5.43400000e-01, 2.84240000e-01,\n", - " 3.55300000e-02, 6.47900000e-02, 2.27810000e-01, 1.31670000e-01,\n", - " 2.48710000e-01, 1.67200000e-01, 2.29900000e-02, 7.31500000e-02,\n", - " 1.67200000e-02, 2.09000000e-03, 8.48540000e-01, 1.13487000e+00,\n", - " 5.43400000e-02, 3.97100000e-02, 2.51009000e+00, 1.13278000e+00,\n", - " 2.15270000e-01, 8.48540000e-01, 1.31670000e-01, 4.43080000e-01,\n", - " 5.85200000e-02, 5.22500000e-02, 5.91470000e-01, 7.10600000e-02,\n", - " 2.71700000e-02, 4.11730000e-01, 2.31990000e-01, 1.08680000e-01,\n", - " 9.57220000e-01, 3.34400000e-02, 7.73300000e-02, 3.97100000e-02,\n", - " 5.64300000e-02, 2.09000000e-02, 1.30625000e+00, 6.81340000e-01,\n", - " 7.73300000e-02, 3.55300000e-02, 5.55940000e-01, 5.85200000e-02,\n", - " 2.77970000e-01, 2.09000000e-03, 2.57070000e-01, 3.30220000e-01,\n", - " 9.40500000e-02, 3.11410000e-01, 5.22500000e-02, 1.66155000e+00,\n", - " 7.10600000e-02, 6.89700000e-02, 6.47900000e-02, 2.39096000e+00,\n", - " 7.31500000e-02, 1.73470000e-01, 1.88100000e-02, 1.04500000e-02,\n", - " 5.78930000e-01, 2.06910000e-01, 1.67200000e-02, 0.00000000e+00,\n", - " 7.35680000e-01, 3.80380000e-01, 1.09516000e+00, 4.76520000e-01,\n", - " 1.25400000e-02, 8.36000000e-03, 6.27000000e-02, 2.84240000e-01,\n", - " 3.36490000e-01, 5.22500000e-02, 0.00000000e+00, 1.88100000e-02,\n", - " 1.96460000e-01, 3.76200000e-02, 6.68800000e-02, 1.10770000e-01,\n", - " 7.33590000e-01, 4.80700000e-01, 1.46300000e-02, 5.01600000e-02,\n", - " 2.71700000e-02, 2.09000000e-02, 2.09000000e-02, 6.27000000e-02,\n", - " 6.27000000e-02, 8.04650000e-01, 7.67030000e-01, 5.85200000e-02,\n", - " 8.15100000e-02, 3.13500000e-02, 2.29900000e-02, 6.89700000e-02,\n", - " 2.09000000e-02, 2.09000000e-02, 1.42120000e-01, 1.08680000e-01,\n", - " 1.48390000e-01, 1.86010000e-01, 1.58631000e+00, 3.26040000e-01,\n", - " 2.88420000e-01, 3.00960000e-01, 5.62210000e-01, 4.18000000e-02,\n", - " 2.71700000e-01, 7.75390000e-01, 5.43400000e-02, 2.20704000e+00,\n", - " 1.65319000e+00, 1.01365000e+00, 1.12860000e-01, 3.13500000e-02,\n", - " 1.84965000e+00, 4.68160000e-01, 7.79570000e-01, 1.71380000e-01,\n", - " 3.97100000e-02, 6.39540000e-01, 5.14140000e-01, 2.09000000e-02,\n", - " 8.36000000e-03, 6.27000000e-03, 1.88100000e-01, 8.36000000e-03,\n", - " 8.71530000e-01, 1.86846000e+00, 8.36000000e-02, 1.71380000e-01,\n", - " 3.84560000e-01, 1.04500000e-02, 4.80700000e-02, 5.64300000e-01,\n", - " 6.06100000e-02, 1.00320000e-01, 2.15270000e-01, 1.17249000e+00,\n", - " 6.45810000e-01, 1.33760000e-01, 2.11090000e-01, 2.80060000e-01,\n", - " 3.13500000e-02, 1.42120000e-01, 1.79740000e-01, 7.52400000e-02,\n", - " 1.04500000e-02, 1.12860000e-01, 5.43400000e-02, 5.22500000e-02,\n", - " 1.19130000e-01, 1.48390000e-01, 2.19450000e-01, 5.85200000e-02,\n", - " 6.27000000e-03, 7.94200000e-02, 1.00947000e+00, 5.64300000e-02,\n", - " 4.93240000e-01, 5.01600000e-02, 1.79740000e-01, 1.02410000e+00,\n", - " 1.60721000e+00, 3.59480000e-01, 6.85520000e-01, 7.94200000e-02,\n", - " 7.31500000e-02, 5.22500000e-02, 3.82470000e-01, 6.27000000e-02,\n", - " 6.68800000e-02, 3.76200000e-02, 1.04500000e-01, 1.00320000e-01,\n", - " 1.06590000e+00, 3.07230000e-01, 1.21220000e-01, 2.09000000e-03,\n", - " 1.02410000e-01, 3.86650000e-01, 4.45170000e-01, 4.18000000e-01,\n", - " 3.97100000e-02, 1.54660000e-01, 2.92600000e-01, 5.22500000e-02,\n", - " 1.31670000e-01, 7.94200000e-02, 3.55300000e-02, 5.85200000e-02,\n", - " 1.27490000e-01, 9.82300000e-02, 8.56900000e-02, 1.67200000e-02,\n", - " 6.29090000e-01, 8.00470000e-01, 3.13500000e-02, 3.34400000e-02,\n", - " 7.31500000e-02, 2.33662000e+00, 1.26445000e+00, 2.71700000e-02,\n", - " 8.92430000e-01, 4.63980000e-01, 2.09000000e-03, 8.98700000e-02,\n", - " 5.01600000e-02, 4.26360000e-01, 6.27000000e-01, 8.61080000e-01,\n", - " 5.85200000e-02, 1.67409000e+00, 2.86330000e-01, 1.21220000e+00,\n", - " 1.56750000e-01, 2.19450000e-01, 9.34230000e-01, 7.06420000e-01,\n", - " 2.90510000e-01, 3.32310000e-01, 0.00000000e+00, 2.09000000e-01,\n", - " 1.86010000e-01, 2.50800000e-02, 1.25400000e-02, 2.29900000e-02,\n", - " 3.55300000e-02, 6.68800000e-02, 1.37940000e-01, 9.40500000e-02,\n", - " 7.94200000e-02, 3.74110000e-01, 4.07550000e-01, 8.36000000e-03,\n", - " 8.15100000e-02, 1.12860000e-01, 5.01600000e-02, 7.73300000e-02,\n", - " 4.18000000e-02, 1.35850000e-01, 3.49030000e-01, 5.01600000e-02,\n", - " 3.97100000e-02, 2.29064000e+00, 8.98700000e-02, 7.73300000e-02,\n", - " 6.68800000e-02, 4.28450000e-01, 9.82300000e-02, 3.55300000e-02,\n", - " 3.00960000e-01, 7.94200000e-02, 5.53850000e-01, 1.46300000e-01,\n", - " 1.25191000e+00, 9.04970000e-01, 8.56900000e-01, 7.73300000e-02,\n", - " 8.36000000e-03, 9.82300000e-02, 2.29900000e-02, 5.64300000e-02,\n", - " 1.16204000e+00, 6.06100000e-02, 6.27000000e-03, 3.34400000e-02,\n", - " 7.77480000e-01, 1.96460000e-01, 4.59800000e-02, 1.58840000e-01,\n", - " 7.69120000e-01, 1.39612000e+00, 2.55816000e+00, 2.96780000e-01,\n", - " 1.34596000e+00, 1.80785000e+00, 1.56750000e-01, 8.15100000e-02,\n", - " 2.19450000e-01, 3.06812000e+00, 1.63856000e+00, 8.36000000e-03,\n", - " 9.40500000e-02, 1.37940000e-01, 5.85200000e-02, 2.67520000e-01,\n", - " 1.21220000e-01, 2.09000000e-01, 2.31990000e-01, 1.23519000e+00,\n", - " 2.90510000e-01, 1.67200000e-02, 3.51120000e-01, 5.53850000e-01,\n", - " 3.32310000e-01, 2.90510000e-01, 1.88100000e-02, 1.60930000e-01,\n", - " 9.82300000e-02, 3.55300000e-02, 1.88100000e-02, 1.54451000e+00,\n", - " 1.12860000e-01, 4.38900000e-02, 1.46300000e-01, 2.80060000e-01,\n", - " 1.65319000e+00, 9.23780000e-01, 1.44210000e-01, 2.00640000e-01,\n", - " 8.10920000e-01, 1.14950000e-01, 1.96460000e-01, 6.27000000e-01,\n", - " 5.30860000e-01, 7.73300000e-02, 9.63490000e-01, 8.77800000e-02,\n", - " 1.91862000e+00, 1.02410000e-01, 3.07230000e-01, 1.46300000e-02,\n", - " 1.04500000e-02, 2.71700000e-02, 1.58840000e-01, 1.06590000e-01,\n", - " 1.71380000e-01, 9.40500000e-02, 7.31500000e-02, 8.98700000e-02,\n", - " 3.15590000e-01, 1.08680000e-01, 4.38900000e-02, 4.18000000e-01,\n", - " 3.55300000e-02, 1.34178000e+00, 3.23950000e-01, 3.30220000e-01,\n", - " 7.73300000e-02, 1.21220000e-01, 4.59800000e-02, 1.49226000e+00,\n", - " 5.85200000e-02, 2.71700000e-02, 3.11410000e-01, 2.76716000e+00,\n", - " 4.18000000e-02, 6.68800000e-02, 8.36000000e-03, 1.27908000e+00,\n", - " 2.09000000e-02, 2.88420000e-01, 4.18000000e-02, 1.15159000e+00,\n", - " 4.68160000e-01, 1.88100000e-02, 4.18000000e-03, 7.73300000e-01,\n", - " 1.46300000e-02, 1.27490000e-01, 4.26360000e-01, 1.12860000e-01,\n", - " 5.16230000e-01, 1.73470000e-01, 3.67840000e-01, 5.85200000e-02,\n", - " 1.08680000e-01, 1.88100000e-02, 1.59049000e+00, 1.63020000e+00,\n", - " 3.53210000e-01, 8.67350000e-01, 1.78068000e+00, 6.89700000e-02,\n", - " 1.04500000e-02, 3.55300000e-02, 7.31500000e-02, 9.40500000e-02,\n", - " 3.13500000e-02, 1.25400000e-02, 6.89700000e-02, 1.67200000e-01,\n", - " 2.31990000e-01, 6.89700000e-02, 3.76200000e-02, 3.55300000e-02,\n", - " 4.80700000e-02, 6.27000000e-03, 1.54660000e-01, 7.94200000e-02,\n", - " 3.76200000e-02, 1.94370000e-01, 1.67200000e-02, 2.98870000e-01,\n", - " 5.09960000e-01, 1.86010000e-01, 4.84880000e-01, 8.79890000e-01,\n", - " 2.77970000e-01, 1.33760000e+00, 1.46300000e-01, 2.57070000e-01,\n", - " 5.01600000e-01, 2.02730000e-01, 9.61400000e-02, 1.21220000e-01,\n", - " 5.43400000e-02, 6.89700000e-02, 2.09000000e-03, 7.73300000e-02,\n", - " 3.55300000e-02, 1.88100000e-02, 8.56900000e-02, 3.90830000e-01,\n", - " 9.19600000e-02, 7.52400000e-02, 3.13500000e-02, 1.35850000e-01,\n", - " 8.94520000e-01, 3.78290000e-01, 1.02410000e-01, 2.48710000e-01,\n", - " 7.31500000e-02, 1.83920000e+00, 1.29580000e-01, 6.24910000e-01,\n", - " 1.25400000e-01, 1.58840000e-01, 6.47900000e-02, 1.83920000e-01,\n", - " 9.61400000e-02, 6.89700000e-02, 2.34080000e-01, 1.25400000e-02,\n", - " 3.76200000e-02, 9.82300000e-02, 7.31500000e-02, 9.61400000e-02,\n", - " 2.71700000e-02, 1.40030000e-01, 8.36000000e-01, 2.40350000e-01,\n", - " 3.78290000e-01, 2.27810000e-01, 1.31670000e-01, 2.88420000e-01,\n", - " 9.63490000e-01, 7.33590000e-01, 5.43400000e-02, 2.17360000e-01,\n", - " 1.10770000e-01, 1.44210000e-01, 3.26040000e-01, 6.20730000e-01,\n", - " 6.27000000e-03, 1.04500000e-02, 7.37770000e-01, 7.60760000e-01,\n", - " 1.17040000e-01, 1.46300000e-02, 8.15100000e-02, 5.43400000e-02,\n", - " 6.27000000e-03, 1.46300000e-02, 6.27000000e-02, 7.31500000e-02,\n", - " 8.29730000e-01, 4.01280000e-01, 4.38900000e-02, 1.23310000e-01,\n", - " 8.61080000e-01, 5.01600000e-02, 1.56332000e+00, 7.52400000e-02,\n", - " 1.12651000e+00, 1.02410000e-01, 4.45170000e-01, 8.36000000e-03,\n", - " 2.71700000e-02, 7.10600000e-02, 2.92600000e-02, 4.74430000e-01,\n", - " 2.88420000e-01, 2.27810000e-01, 3.34400000e-02, 8.98700000e-02,\n", - " 6.27000000e-03, 3.84560000e-01, 1.06590000e-01, 1.25400000e-02,\n", - " 1.75560000e-01, 6.12370000e-01, 2.17360000e-01, 2.09000000e-03,\n", - " 9.07060000e-01, 6.27000000e-02, 6.39540000e-01, 1.04500000e-02,\n", - " 6.27000000e-03, 8.15100000e-02, 3.80380000e-01, 5.85200000e-02,\n", - " 1.58840000e-01, 3.69930000e-01, 1.88100000e-02, 2.50800000e-02,\n", - " 1.32088000e+00, 8.36000000e-03, 8.36000000e-03, 6.68800000e-02,\n", - " 7.73300000e-02, 6.68800000e-02, 2.29900000e-02, 1.12860000e-01,\n", - " 9.61400000e-02, 1.33760000e-01, 1.00320000e-01, 2.88420000e-01,\n", - " 5.20410000e-01, 3.97100000e-02, 2.09000000e-02, 5.43400000e-02,\n", - " 8.98700000e-02, 9.19600000e-02, 3.00960000e-01, 3.55300000e-02,\n", - " 1.88100000e-02, 1.02410000e-01, 5.32950000e-01, 1.73470000e-01,\n", - " 9.82300000e-02, 3.70348000e+00, 4.18000000e-03, 4.59800000e-02,\n", - " 4.38900000e-02, 1.25400000e-02, 1.46300000e-02, 1.88100000e-02,\n", - " 1.67200000e-02, 1.21220000e-01, 2.92600000e-02, 3.88740000e-01,\n", - " 2.01058000e+00, 1.14950000e-01, 3.97100000e-02, 1.35850000e-01,\n", - " 7.25230000e-01, 5.64300000e-02, 3.55300000e-02, 1.56750000e-01,\n", - " 3.13500000e-02, 1.81830000e-01, 3.09320000e-01, 2.52890000e-01,\n", - " 2.29900000e-02, 1.17040000e-01, 8.15100000e-02, 6.06100000e-02,\n", - " 9.82300000e-02, 5.47580000e-01, 1.17040000e-01, 1.90190000e-01,\n", - " 3.09320000e-01, 3.76200000e-01, 2.92600000e-02, 8.36000000e-02,\n", - " 3.46940000e-01, 3.17680000e-01, 1.13278000e+00, 2.71700000e-02,\n", - " 4.15910000e-01, 5.01600000e-02, 1.23310000e-01, 1.73470000e-01,\n", - " 4.18000000e-02, 1.73470000e-01, 6.27000000e-02, 5.22500000e-02,\n", - " 1.46300000e-01, 1.65110000e-01, 3.76200000e-02, 1.67200000e-02,\n", - " 1.33760000e-01, 2.36170000e-01, 1.48390000e-01, 9.82300000e-02,\n", - " 5.64300000e-02, 6.27000000e-03, 2.38260000e-01, 6.70890000e-01,\n", - " 8.98700000e-02, 4.59800000e-02, 2.09000000e-03, 1.37940000e-01,\n", - " 9.82300000e-02, 3.13500000e-02, 3.76200000e-02, 1.65110000e-01,\n", - " 5.01600000e-02, 1.07008000e+00, 9.82300000e-02, 3.76200000e-02,\n", - " 0.00000000e+00, 2.13180000e-01, 5.01600000e-02, 6.68800000e-02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.49147778e+03, -2.52731782e+03, 1.05216704e+02, 5.78309306e+01,\n", - " 0.00000000e+00, 1.55680663e+00, 1.95614339e+02, 0.00000000e+00,\n", - " 0.00000000e+00, 1.32521656e+02, 0.00000000e+00, 2.29311662e+02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 1.40030000e-01, 6.54170000e-01, 1.27699000e+00, 9.04970000e-01,\n", - " 4.80700000e-02, 8.77800000e-02, 5.85200000e-02, 1.23310000e-01,\n", - " 2.02730000e-01, 3.13500000e-02, 1.23310000e-01, 9.82300000e-02,\n", - " 2.19868000e+00, 8.36000000e-03, 2.92600000e-02, 1.88100000e-02,\n", - " 1.09725000e+00, 7.90020000e-01, 1.19130000e-01, 1.86010000e-01,\n", - " 4.38900000e-02, 2.29900000e-02, 1.25400000e-02, 0.00000000e+00,\n", - " 4.18000000e-02, 1.37940000e-01, 1.04500000e-02, 8.04650000e-01,\n", - " 1.56750000e-01, 6.45810000e-01, 3.42760000e-01, 2.61250000e-01,\n", - " 2.88420000e-01, 1.25400000e-02, 0.00000000e+00, 1.46300000e-02,\n", - " 1.63020000e-01, 7.52400000e-02, 3.76200000e-02, 2.71700000e-02,\n", - " 9.40500000e-02, 8.77800000e-02, 2.36170000e-01, 4.97420000e-01,\n", - " 7.94200000e-02, 8.25550000e-01, 2.61250000e-01, 1.05127000e+00,\n", - " 1.31670000e-01, 3.67422000e+00, 2.29900000e-02, 2.92600000e-02,\n", - " 9.61400000e-02, 6.89700000e-02, 1.54660000e-01, 3.76200000e-02,\n", - " 1.37940000e-01, 1.09934000e+00, 1.90817000e+00, 5.12050000e-01,\n", - " 3.57390000e-01, 3.13500000e-01, 1.25400000e-01, 5.35040000e-01,\n", - " 6.47900000e-02, 5.22500000e-02, 5.09960000e-01, 4.34720000e-01,\n", - " 2.09000000e-02, 0.00000000e+00, 9.61400000e-02, 9.82300000e-02,\n", - " 8.36000000e-03, 2.29900000e-02, 1.75560000e-01, 3.59480000e-01,\n", - " 2.13180000e-01, 6.89700000e-02, 7.10600000e-02, 5.26680000e-01,\n", - " 1.22474000e+00, 1.08889000e+00, 2.38260000e-01, 3.84560000e-01,\n", - " 4.49350000e-01, 5.01600000e-01, 5.64300000e-02, 1.17040000e-01,\n", - " 2.09000000e-02, 2.50800000e-02, 3.76200000e-02, 0.00000000e+00,\n", - " 1.04500000e-02, 2.92600000e-02, 4.24270000e-01, 1.10770000e-01,\n", - " 1.25400000e-02, 0.00000000e+00, 3.13500000e-02, 3.40670000e-01,\n", - " 2.71700000e-01, 9.69760000e-01, 1.27072000e+00, 2.36170000e-01,\n", - " 3.76200000e-02, 1.88100000e-02, 9.82300000e-02, 1.88100000e-02,\n", - " 5.62210000e-01, 4.36810000e-01, 1.33760000e-01, 1.08680000e-01,\n", - " 1.13905000e+00, 2.29900000e-01, 0.00000000e+00, 5.49670000e-01,\n", - " 3.61570000e-01, 1.78486000e+00, 2.88420000e-01, 8.54810000e-01,\n", - " 1.77650000e-01, 2.42440000e-01, 6.62530000e-01, 1.11188000e+00,\n", - " 9.94840000e-01, 1.99177000e+00, 2.96780000e-01, 1.27490000e-01,\n", - " 8.46450000e-01, 1.04918000e+00, 3.57390000e-01, 1.96460000e-01,\n", - " 4.18000000e-02, 1.67200000e-01, 3.11410000e-01, 2.17360000e-01,\n", - " 1.83920000e-01, 5.43400000e-01, 1.54660000e-01, 5.22500000e-02,\n", - " 1.03873000e+00, 8.84070000e-01, 7.75390000e-01, 8.10920000e-01,\n", - " 1.23310000e-01, 1.40030000e-01, 2.71700000e-02, 7.31500000e-02,\n", - " 1.50480000e-01, 2.88420000e-01, 0.00000000e+00, 0.00000000e+00,\n", - " 2.07537000e+00, 3.01796000e+00, 6.55215000e+00, 1.71380000e-01,\n", - " 1.88100000e-01, 1.02410000e-01, 2.29900000e-02, 2.50800000e-02,\n", - " 6.27000000e-02, 5.43400000e-02, 3.36490000e-01, 3.07230000e-01,\n", - " 2.88420000e-01, 8.36000000e-02, 2.16524000e+00, 3.96473000e+00,\n", - " 6.06100000e-02, 5.22500000e-02, 1.40030000e-01, 5.64300000e-02,\n", - " 6.27000000e-02, 1.48390000e-01, 2.80060000e-01, 1.00320000e-01,\n", - " 1.42120000e-01, 1.46300000e-01, 1.88100000e-02, 3.57390000e-01,\n", - " 4.59800000e-02, 1.10770000e-01, 1.31670000e-01, 3.40670000e-01,\n", - " 2.65430000e-01, 2.29900000e-02, 3.95010000e-01, 1.19130000e-01,\n", - " 8.56900000e-02, 9.40500000e-02, 2.21540000e-01, 1.12860000e-01,\n", - " 2.44530000e-01, 1.25400000e-02, 1.14950000e-01, 7.10600000e-02,\n", - " 1.00320000e-01, 3.55300000e-02, 4.09431000e+00, 1.04500000e-01,\n", - " 9.19600000e-02, 4.18000000e+00, 1.50480000e-01, 2.71700000e-02,\n", - " 0.00000000e+00, 2.71700000e-02, 1.25400000e-02, 1.04500000e-01,\n", - " 1.44210000e-01, 2.92600000e-02, 1.10770000e-01, 1.37940000e+00,\n", - " 8.79890000e-01, 1.06381000e+00, 3.71184000e+00, 3.22278000e+00,\n", - " 8.77800000e-02, 5.01600000e-02, 8.44360000e-01, 5.43400000e-01,\n", - " 1.83711000e+00, 1.30416000e+00, 1.88100000e-02, 4.59800000e-01,\n", - " 1.31670000e-01, 1.86637000e+00, 1.04500000e-02, 1.46300000e-02,\n", - " 2.29900000e-02, 1.04500000e-02, 6.58350000e-01, 5.20410000e-01,\n", - " 5.22500000e-01, 1.64065000e+00, 8.56900000e-02, 2.09000000e-02,\n", - " 8.17190000e-01, 2.71700000e-02, 8.56900000e-02, 1.31879000e+00,\n", - " 8.98700000e-02, 8.36000000e-02, 7.94200000e-02, 9.19600000e-02,\n", - " 4.80700000e-02, 1.06799000e+00, 6.06100000e-01, 1.88100000e-01,\n", - " 2.86330000e-01, 1.00320000e-01, 1.88100000e-02, 5.35040000e-01,\n", - " 3.34400000e-01, 7.62850000e-01, 7.52400000e-02, 1.33760000e-01,\n", - " 4.80700000e-02, 7.73300000e-02, 1.56750000e-01, 5.99830000e-01,\n", - " 1.69290000e-01, 6.16550000e-01, 2.36170000e-01, 8.77800000e-02,\n", - " 1.83920000e-01, 3.15590000e-01, 5.26680000e-01, 1.43792000e+00,\n", - " 1.60930000e-01, 7.62850000e-01, 7.10600000e-02, 6.89700000e-02,\n", - " 1.88100000e-01, 3.82470000e-01, 1.46300000e-01, 4.34720000e-01,\n", - " 2.92600000e-02, 9.82300000e-02, 5.43400000e-01, 2.84240000e-01,\n", - " 3.55300000e-02, 6.47900000e-02, 2.27810000e-01, 1.31670000e-01,\n", - " 2.48710000e-01, 1.67200000e-01, 2.29900000e-02, 7.31500000e-02,\n", - " 1.67200000e-02, 2.09000000e-03, 8.48540000e-01, 1.13487000e+00,\n", - " 5.43400000e-02, 3.97100000e-02, 2.51009000e+00, 1.13278000e+00,\n", - " 2.15270000e-01, 8.48540000e-01, 1.31670000e-01, 4.43080000e-01,\n", - " 5.85200000e-02, 5.22500000e-02, 5.91470000e-01, 7.10600000e-02,\n", - " 2.71700000e-02, 4.11730000e-01, 2.31990000e-01, 1.08680000e-01,\n", - " 9.57220000e-01, 3.34400000e-02, 7.73300000e-02, 3.97100000e-02,\n", - " 5.64300000e-02, 2.09000000e-02, 1.30625000e+00, 6.81340000e-01,\n", - " 7.73300000e-02, 3.55300000e-02, 5.55940000e-01, 5.85200000e-02,\n", - " 2.77970000e-01, 2.09000000e-03, 2.57070000e-01, 3.30220000e-01,\n", - " 9.40500000e-02, 3.11410000e-01, 5.22500000e-02, 1.66155000e+00,\n", - " 7.10600000e-02, 6.89700000e-02, 6.47900000e-02, 2.39096000e+00,\n", - " 7.31500000e-02, 1.73470000e-01, 1.88100000e-02, 1.04500000e-02,\n", - " 5.78930000e-01, 2.06910000e-01, 1.67200000e-02, 0.00000000e+00,\n", - " 7.35680000e-01, 3.80380000e-01, 1.09516000e+00, 4.76520000e-01,\n", - " 1.25400000e-02, 8.36000000e-03, 6.27000000e-02, 2.84240000e-01,\n", - " 3.36490000e-01, 5.22500000e-02, 0.00000000e+00, 1.88100000e-02,\n", - " 1.96460000e-01, 3.76200000e-02, 6.68800000e-02, 1.10770000e-01,\n", - " 7.33590000e-01, 4.80700000e-01, 1.46300000e-02, 5.01600000e-02,\n", - " 2.71700000e-02, 2.09000000e-02, 2.09000000e-02, 6.27000000e-02,\n", - " 6.27000000e-02, 8.04650000e-01, 7.67030000e-01, 5.85200000e-02,\n", - " 8.15100000e-02, 3.13500000e-02, 2.29900000e-02, 6.89700000e-02,\n", - " 2.09000000e-02, 2.09000000e-02, 1.42120000e-01, 1.08680000e-01,\n", - " 1.48390000e-01, 1.86010000e-01, 1.58631000e+00, 3.26040000e-01,\n", - " 2.88420000e-01, 3.00960000e-01, 5.62210000e-01, 4.18000000e-02,\n", - " 2.71700000e-01, 7.75390000e-01, 5.43400000e-02, 2.20704000e+00,\n", - " 1.65319000e+00, 1.01365000e+00, 1.12860000e-01, 3.13500000e-02,\n", - " 1.84965000e+00, 4.68160000e-01, 7.79570000e-01, 1.71380000e-01,\n", - " 3.97100000e-02, 6.39540000e-01, 5.14140000e-01, 2.09000000e-02,\n", - " 8.36000000e-03, 6.27000000e-03, 1.88100000e-01, 8.36000000e-03,\n", - " 8.71530000e-01, 1.86846000e+00, 8.36000000e-02, 1.71380000e-01,\n", - " 3.84560000e-01, 1.04500000e-02, 4.80700000e-02, 5.64300000e-01,\n", - " 6.06100000e-02, 1.00320000e-01, 2.15270000e-01, 1.17249000e+00,\n", - " 6.45810000e-01, 1.33760000e-01, 2.11090000e-01, 2.80060000e-01,\n", - " 3.13500000e-02, 1.42120000e-01, 1.79740000e-01, 7.52400000e-02,\n", - " 1.04500000e-02, 1.12860000e-01, 5.43400000e-02, 5.22500000e-02,\n", - " 1.19130000e-01, 1.48390000e-01, 2.19450000e-01, 5.85200000e-02,\n", - " 6.27000000e-03, 7.94200000e-02, 1.00947000e+00, 5.64300000e-02,\n", - " 4.93240000e-01, 5.01600000e-02, 1.79740000e-01, 1.02410000e+00,\n", - " 1.60721000e+00, 3.59480000e-01, 6.85520000e-01, 7.94200000e-02,\n", - " 7.31500000e-02, 5.22500000e-02, 3.82470000e-01, 6.27000000e-02,\n", - " 6.68800000e-02, 3.76200000e-02, 1.04500000e-01, 1.00320000e-01,\n", - " 1.06590000e+00, 3.07230000e-01, 1.21220000e-01, 2.09000000e-03,\n", - " 1.02410000e-01, 3.86650000e-01, 4.45170000e-01, 4.18000000e-01,\n", - " 3.97100000e-02, 1.54660000e-01, 2.92600000e-01, 5.22500000e-02,\n", - " 1.31670000e-01, 7.94200000e-02, 3.55300000e-02, 5.85200000e-02,\n", - " 1.27490000e-01, 9.82300000e-02, 8.56900000e-02, 1.67200000e-02,\n", - " 6.29090000e-01, 8.00470000e-01, 3.13500000e-02, 3.34400000e-02,\n", - " 7.31500000e-02, 2.33662000e+00, 1.26445000e+00, 2.71700000e-02,\n", - " 8.92430000e-01, 4.63980000e-01, 2.09000000e-03, 8.98700000e-02,\n", - " 5.01600000e-02, 4.26360000e-01, 6.27000000e-01, 8.61080000e-01,\n", - " 5.85200000e-02, 1.67409000e+00, 2.86330000e-01, 1.21220000e+00,\n", - " 1.56750000e-01, 2.19450000e-01, 9.34230000e-01, 7.06420000e-01,\n", - " 2.90510000e-01, 3.32310000e-01, 0.00000000e+00, 2.09000000e-01,\n", - " 1.86010000e-01, 2.50800000e-02, 1.25400000e-02, 2.29900000e-02,\n", - " 3.55300000e-02, 6.68800000e-02, 1.37940000e-01, 9.40500000e-02,\n", - " 7.94200000e-02, 3.74110000e-01, 4.07550000e-01, 8.36000000e-03,\n", - " 8.15100000e-02, 1.12860000e-01, 5.01600000e-02, 7.73300000e-02,\n", - " 4.18000000e-02, 1.35850000e-01, 3.49030000e-01, 5.01600000e-02,\n", - " 3.97100000e-02, 2.29064000e+00, 8.98700000e-02, 7.73300000e-02,\n", - " 6.68800000e-02, 4.28450000e-01, 9.82300000e-02, 3.55300000e-02,\n", - " 3.00960000e-01, 7.94200000e-02, 5.53850000e-01, 1.46300000e-01,\n", - " 1.25191000e+00, 9.04970000e-01, 8.56900000e-01, 7.73300000e-02,\n", - " 8.36000000e-03, 9.82300000e-02, 2.29900000e-02, 5.64300000e-02,\n", - " 1.16204000e+00, 6.06100000e-02, 6.27000000e-03, 3.34400000e-02,\n", - " 7.77480000e-01, 1.96460000e-01, 4.59800000e-02, 1.58840000e-01,\n", - " 7.69120000e-01, 1.39612000e+00, 2.55816000e+00, 2.96780000e-01,\n", - " 1.34596000e+00, 1.80785000e+00, 1.56750000e-01, 8.15100000e-02,\n", - " 2.19450000e-01, 3.06812000e+00, 1.63856000e+00, 8.36000000e-03,\n", - " 9.40500000e-02, 1.37940000e-01, 5.85200000e-02, 2.67520000e-01,\n", - " 1.21220000e-01, 2.09000000e-01, 2.31990000e-01, 1.23519000e+00,\n", - " 2.90510000e-01, 1.67200000e-02, 3.51120000e-01, 5.53850000e-01,\n", - " 3.32310000e-01, 2.90510000e-01, 1.88100000e-02, 1.60930000e-01,\n", - " 9.82300000e-02, 3.55300000e-02, 1.88100000e-02, 1.54451000e+00,\n", - " 1.12860000e-01, 4.38900000e-02, 1.46300000e-01, 2.80060000e-01,\n", - " 1.65319000e+00, 9.23780000e-01, 1.44210000e-01, 2.00640000e-01,\n", - " 8.10920000e-01, 1.14950000e-01, 1.96460000e-01, 6.27000000e-01,\n", - " 5.30860000e-01, 7.73300000e-02, 9.63490000e-01, 8.77800000e-02,\n", - " 1.91862000e+00, 1.02410000e-01, 3.07230000e-01, 1.46300000e-02,\n", - " 1.04500000e-02, 2.71700000e-02, 1.58840000e-01, 1.06590000e-01,\n", - " 1.71380000e-01, 9.40500000e-02, 7.31500000e-02, 8.98700000e-02,\n", - " 3.15590000e-01, 1.08680000e-01, 4.38900000e-02, 4.18000000e-01,\n", - " 3.55300000e-02, 1.34178000e+00, 3.23950000e-01, 3.30220000e-01,\n", - " 7.73300000e-02, 1.21220000e-01, 4.59800000e-02, 1.49226000e+00,\n", - " 5.85200000e-02, 2.71700000e-02, 3.11410000e-01, 2.76716000e+00,\n", - " 4.18000000e-02, 6.68800000e-02, 8.36000000e-03, 1.27908000e+00,\n", - " 2.09000000e-02, 2.88420000e-01, 4.18000000e-02, 1.15159000e+00,\n", - " 4.68160000e-01, 1.88100000e-02, 4.18000000e-03, 7.73300000e-01,\n", - " 1.46300000e-02, 1.27490000e-01, 4.26360000e-01, 1.12860000e-01,\n", - " 5.16230000e-01, 1.73470000e-01, 3.67840000e-01, 5.85200000e-02,\n", - " 1.08680000e-01, 1.88100000e-02, 1.59049000e+00, 1.63020000e+00,\n", - " 3.53210000e-01, 8.67350000e-01, 1.78068000e+00, 6.89700000e-02,\n", - " 1.04500000e-02, 3.55300000e-02, 7.31500000e-02, 9.40500000e-02,\n", - " 3.13500000e-02, 1.25400000e-02, 6.89700000e-02, 1.67200000e-01,\n", - " 2.31990000e-01, 6.89700000e-02, 3.76200000e-02, 3.55300000e-02,\n", - " 4.80700000e-02, 6.27000000e-03, 1.54660000e-01, 7.94200000e-02,\n", - " 3.76200000e-02, 1.94370000e-01, 1.67200000e-02, 2.98870000e-01,\n", - " 5.09960000e-01, 1.86010000e-01, 4.84880000e-01, 8.79890000e-01,\n", - " 2.77970000e-01, 1.33760000e+00, 1.46300000e-01, 2.57070000e-01,\n", - " 5.01600000e-01, 2.02730000e-01, 9.61400000e-02, 1.21220000e-01,\n", - " 5.43400000e-02, 6.89700000e-02, 2.09000000e-03, 7.73300000e-02,\n", - " 3.55300000e-02, 1.88100000e-02, 8.56900000e-02, 3.90830000e-01,\n", - " 9.19600000e-02, 7.52400000e-02, 3.13500000e-02, 1.35850000e-01,\n", - " 8.94520000e-01, 3.78290000e-01, 1.02410000e-01, 2.48710000e-01,\n", - " 7.31500000e-02, 1.83920000e+00, 1.29580000e-01, 6.24910000e-01,\n", - " 1.25400000e-01, 1.58840000e-01, 6.47900000e-02, 1.83920000e-01,\n", - " 9.61400000e-02, 6.89700000e-02, 2.34080000e-01, 1.25400000e-02,\n", - " 3.76200000e-02, 9.82300000e-02, 7.31500000e-02, 9.61400000e-02,\n", - " 2.71700000e-02, 1.40030000e-01, 8.36000000e-01, 2.40350000e-01,\n", - " 3.78290000e-01, 2.27810000e-01, 1.31670000e-01, 2.88420000e-01,\n", - " 9.63490000e-01, 7.33590000e-01, 5.43400000e-02, 2.17360000e-01,\n", - " 1.10770000e-01, 1.44210000e-01, 3.26040000e-01, 6.20730000e-01,\n", - " 6.27000000e-03, 1.04500000e-02, 7.37770000e-01, 7.60760000e-01,\n", - " 1.17040000e-01, 1.46300000e-02, 8.15100000e-02, 5.43400000e-02,\n", - " 6.27000000e-03, 1.46300000e-02, 6.27000000e-02, 7.31500000e-02,\n", - " 8.29730000e-01, 4.01280000e-01, 4.38900000e-02, 1.23310000e-01,\n", - " 8.61080000e-01, 5.01600000e-02, 1.56332000e+00, 7.52400000e-02,\n", - " 1.12651000e+00, 1.02410000e-01, 4.45170000e-01, 8.36000000e-03,\n", - " 2.71700000e-02, 7.10600000e-02, 2.92600000e-02, 4.74430000e-01,\n", - " 2.88420000e-01, 2.27810000e-01, 3.34400000e-02, 8.98700000e-02,\n", - " 6.27000000e-03, 3.84560000e-01, 1.06590000e-01, 1.25400000e-02,\n", - " 1.75560000e-01, 6.12370000e-01, 2.17360000e-01, 2.09000000e-03,\n", - " 9.07060000e-01, 6.27000000e-02, 6.39540000e-01, 1.04500000e-02,\n", - " 6.27000000e-03, 8.15100000e-02, 3.80380000e-01, 5.85200000e-02,\n", - " 1.58840000e-01, 3.69930000e-01, 1.88100000e-02, 2.50800000e-02,\n", - " 1.32088000e+00, 8.36000000e-03, 8.36000000e-03, 6.68800000e-02,\n", - " 7.73300000e-02, 6.68800000e-02, 2.29900000e-02, 1.12860000e-01,\n", - " 9.61400000e-02, 1.33760000e-01, 1.00320000e-01, 2.88420000e-01,\n", - " 5.20410000e-01, 3.97100000e-02, 2.09000000e-02, 5.43400000e-02,\n", - " 8.98700000e-02, 9.19600000e-02, 3.00960000e-01, 3.55300000e-02,\n", - " 1.88100000e-02, 1.02410000e-01, 5.32950000e-01, 1.73470000e-01,\n", - " 9.82300000e-02, 3.70348000e+00, 4.18000000e-03, 4.59800000e-02,\n", - " 4.38900000e-02, 1.25400000e-02, 1.46300000e-02, 1.88100000e-02,\n", - " 1.67200000e-02, 1.21220000e-01, 2.92600000e-02, 3.88740000e-01,\n", - " 2.01058000e+00, 1.14950000e-01, 3.97100000e-02, 1.35850000e-01,\n", - " 7.25230000e-01, 5.64300000e-02, 3.55300000e-02, 1.56750000e-01,\n", - " 3.13500000e-02, 1.81830000e-01, 3.09320000e-01, 2.52890000e-01,\n", - " 2.29900000e-02, 1.17040000e-01, 8.15100000e-02, 6.06100000e-02,\n", - " 9.82300000e-02, 5.47580000e-01, 1.17040000e-01, 1.90190000e-01,\n", - " 3.09320000e-01, 3.76200000e-01, 2.92600000e-02, 8.36000000e-02,\n", - " 3.46940000e-01, 3.17680000e-01, 1.13278000e+00, 2.71700000e-02,\n", - " 4.15910000e-01, 5.01600000e-02, 1.23310000e-01, 1.73470000e-01,\n", - " 4.18000000e-02, 1.73470000e-01, 6.27000000e-02, 5.22500000e-02,\n", - " 1.46300000e-01, 1.65110000e-01, 3.76200000e-02, 1.67200000e-02,\n", - " 1.33760000e-01, 2.36170000e-01, 1.48390000e-01, 9.82300000e-02,\n", - " 5.64300000e-02, 6.27000000e-03, 2.38260000e-01, 6.70890000e-01,\n", - " 8.98700000e-02, 4.59800000e-02, 2.09000000e-03, 1.37940000e-01,\n", - " 9.82300000e-02, 3.13500000e-02, 3.76200000e-02, 1.65110000e-01,\n", - " 5.01600000e-02, 1.07008000e+00, 9.82300000e-02, 3.76200000e-02,\n", - " 0.00000000e+00, 2.13180000e-01, 5.01600000e-02, 6.68800000e-02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.49551414e+03, -2.52731782e+03, 1.05019711e+02, 5.80098471e+01,\n", - " 0.00000000e+00, 2.17645649e+00, 1.94769805e+02, 0.00000000e+00,\n", - " 0.00000000e+00, 1.32185964e+02, 0.00000000e+00, 2.25853647e+02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 1.40030000e-01, 6.54170000e-01, 1.27699000e+00, 9.04970000e-01,\n", - " 4.80700000e-02, 8.77800000e-02, 5.85200000e-02, 1.23310000e-01,\n", - " 2.02730000e-01, 3.13500000e-02, 1.23310000e-01, 9.82300000e-02,\n", - " 2.19868000e+00, 8.36000000e-03, 2.92600000e-02, 1.88100000e-02,\n", - " 1.09725000e+00, 7.90020000e-01, 1.19130000e-01, 1.86010000e-01,\n", - " 4.38900000e-02, 2.29900000e-02, 1.25400000e-02, 0.00000000e+00,\n", - " 4.18000000e-02, 1.37940000e-01, 1.04500000e-02, 8.04650000e-01,\n", - " 1.56750000e-01, 6.45810000e-01, 3.42760000e-01, 2.61250000e-01,\n", - " 2.88420000e-01, 1.25400000e-02, 0.00000000e+00, 1.46300000e-02,\n", - " 1.63020000e-01, 7.52400000e-02, 3.76200000e-02, 2.71700000e-02,\n", - " 9.40500000e-02, 8.77800000e-02, 2.36170000e-01, 4.97420000e-01,\n", - " 7.94200000e-02, 8.25550000e-01, 2.61250000e-01, 1.05127000e+00,\n", - " 1.31670000e-01, 3.67422000e+00, 2.29900000e-02, 2.92600000e-02,\n", - " 9.61400000e-02, 6.89700000e-02, 1.54660000e-01, 3.76200000e-02,\n", - " 1.37940000e-01, 1.09934000e+00, 1.90817000e+00, 5.12050000e-01,\n", - " 3.57390000e-01, 3.13500000e-01, 1.25400000e-01, 5.35040000e-01,\n", - " 6.47900000e-02, 5.22500000e-02, 5.09960000e-01, 4.34720000e-01,\n", - " 2.09000000e-02, 0.00000000e+00, 9.61400000e-02, 9.82300000e-02,\n", - " 8.36000000e-03, 2.29900000e-02, 1.75560000e-01, 3.59480000e-01,\n", - " 2.13180000e-01, 6.89700000e-02, 7.10600000e-02, 5.26680000e-01,\n", - " 1.22474000e+00, 1.08889000e+00, 2.38260000e-01, 3.84560000e-01,\n", - " 4.49350000e-01, 5.01600000e-01, 5.64300000e-02, 1.17040000e-01,\n", - " 2.09000000e-02, 2.50800000e-02, 3.76200000e-02, 0.00000000e+00,\n", - " 1.04500000e-02, 2.92600000e-02, 4.24270000e-01, 1.10770000e-01,\n", - " 1.25400000e-02, 0.00000000e+00, 3.13500000e-02, 3.40670000e-01,\n", - " 2.71700000e-01, 9.69760000e-01, 1.27072000e+00, 2.36170000e-01,\n", - " 3.76200000e-02, 1.88100000e-02, 9.82300000e-02, 1.88100000e-02,\n", - " 5.62210000e-01, 4.36810000e-01, 1.33760000e-01, 1.08680000e-01,\n", - " 1.13905000e+00, 2.29900000e-01, 0.00000000e+00, 5.49670000e-01,\n", - " 3.61570000e-01, 1.78486000e+00, 2.88420000e-01, 8.54810000e-01,\n", - " 1.77650000e-01, 2.42440000e-01, 6.62530000e-01, 1.11188000e+00,\n", - " 9.94840000e-01, 1.99177000e+00, 2.96780000e-01, 1.27490000e-01,\n", - " 8.46450000e-01, 1.04918000e+00, 3.57390000e-01, 1.96460000e-01,\n", - " 4.18000000e-02, 1.67200000e-01, 3.11410000e-01, 2.17360000e-01,\n", - " 1.83920000e-01, 5.43400000e-01, 1.54660000e-01, 5.22500000e-02,\n", - " 1.03873000e+00, 8.84070000e-01, 7.75390000e-01, 8.10920000e-01,\n", - " 1.23310000e-01, 1.40030000e-01, 2.71700000e-02, 7.31500000e-02,\n", - " 1.50480000e-01, 2.88420000e-01, 0.00000000e+00, 0.00000000e+00,\n", - " 2.07537000e+00, 3.01796000e+00, 6.55215000e+00, 1.71380000e-01,\n", - " 1.88100000e-01, 1.02410000e-01, 2.29900000e-02, 2.50800000e-02,\n", - " 6.27000000e-02, 5.43400000e-02, 3.36490000e-01, 3.07230000e-01,\n", - " 2.88420000e-01, 8.36000000e-02, 2.16524000e+00, 3.96473000e+00,\n", - " 6.06100000e-02, 5.22500000e-02, 1.40030000e-01, 5.64300000e-02,\n", - " 6.27000000e-02, 1.48390000e-01, 2.80060000e-01, 1.00320000e-01,\n", - " 1.42120000e-01, 1.46300000e-01, 1.88100000e-02, 3.57390000e-01,\n", - " 4.59800000e-02, 1.10770000e-01, 1.31670000e-01, 3.40670000e-01,\n", - " 2.65430000e-01, 2.29900000e-02, 3.95010000e-01, 1.19130000e-01,\n", - " 8.56900000e-02, 9.40500000e-02, 2.21540000e-01, 1.12860000e-01,\n", - " 2.44530000e-01, 1.25400000e-02, 1.14950000e-01, 7.10600000e-02,\n", - " 1.00320000e-01, 3.55300000e-02, 4.09431000e+00, 1.04500000e-01,\n", - " 9.19600000e-02, 4.18000000e+00, 1.50480000e-01, 2.71700000e-02,\n", - " 0.00000000e+00, 2.71700000e-02, 1.25400000e-02, 1.04500000e-01,\n", - " 1.44210000e-01, 2.92600000e-02, 1.10770000e-01, 1.37940000e+00,\n", - " 8.79890000e-01, 1.06381000e+00, 3.71184000e+00, 3.22278000e+00,\n", - " 8.77800000e-02, 5.01600000e-02, 8.44360000e-01, 5.43400000e-01,\n", - " 1.83711000e+00, 1.30416000e+00, 1.88100000e-02, 4.59800000e-01,\n", - " 1.31670000e-01, 1.86637000e+00, 1.04500000e-02, 1.46300000e-02,\n", - " 2.29900000e-02, 1.04500000e-02, 6.58350000e-01, 5.20410000e-01,\n", - " 5.22500000e-01, 1.64065000e+00, 8.56900000e-02, 2.09000000e-02,\n", - " 8.17190000e-01, 2.71700000e-02, 8.56900000e-02, 1.31879000e+00,\n", - " 8.98700000e-02, 8.36000000e-02, 7.94200000e-02, 9.19600000e-02,\n", - " 4.80700000e-02, 1.06799000e+00, 6.06100000e-01, 1.88100000e-01,\n", - " 2.86330000e-01, 1.00320000e-01, 1.88100000e-02, 5.35040000e-01,\n", - " 3.34400000e-01, 7.62850000e-01, 7.52400000e-02, 1.33760000e-01,\n", - " 4.80700000e-02, 7.73300000e-02, 1.56750000e-01, 5.99830000e-01,\n", - " 1.69290000e-01, 6.16550000e-01, 2.36170000e-01, 8.77800000e-02,\n", - " 1.83920000e-01, 3.15590000e-01, 5.26680000e-01, 1.43792000e+00,\n", - " 1.60930000e-01, 7.62850000e-01, 7.10600000e-02, 6.89700000e-02,\n", - " 1.88100000e-01, 3.82470000e-01, 1.46300000e-01, 4.34720000e-01,\n", - " 2.92600000e-02, 9.82300000e-02, 5.43400000e-01, 2.84240000e-01,\n", - " 3.55300000e-02, 6.47900000e-02, 2.27810000e-01, 1.31670000e-01,\n", - " 2.48710000e-01, 1.67200000e-01, 2.29900000e-02, 7.31500000e-02,\n", - " 1.67200000e-02, 2.09000000e-03, 8.48540000e-01, 1.13487000e+00,\n", - " 5.43400000e-02, 3.97100000e-02, 2.51009000e+00, 1.13278000e+00,\n", - " 2.15270000e-01, 8.48540000e-01, 1.31670000e-01, 4.43080000e-01,\n", - " 5.85200000e-02, 5.22500000e-02, 5.91470000e-01, 7.10600000e-02,\n", - " 2.71700000e-02, 4.11730000e-01, 2.31990000e-01, 1.08680000e-01,\n", - " 9.57220000e-01, 3.34400000e-02, 7.73300000e-02, 3.97100000e-02,\n", - " 5.64300000e-02, 2.09000000e-02, 1.30625000e+00, 6.81340000e-01,\n", - " 7.73300000e-02, 3.55300000e-02, 5.55940000e-01, 5.85200000e-02,\n", - " 2.77970000e-01, 2.09000000e-03, 2.57070000e-01, 3.30220000e-01,\n", - " 9.40500000e-02, 3.11410000e-01, 5.22500000e-02, 1.66155000e+00,\n", - " 7.10600000e-02, 6.89700000e-02, 6.47900000e-02, 2.39096000e+00,\n", - " 7.31500000e-02, 1.73470000e-01, 1.88100000e-02, 1.04500000e-02,\n", - " 5.78930000e-01, 2.06910000e-01, 1.67200000e-02, 0.00000000e+00,\n", - " 7.35680000e-01, 3.80380000e-01, 1.09516000e+00, 4.76520000e-01,\n", - " 1.25400000e-02, 8.36000000e-03, 6.27000000e-02, 2.84240000e-01,\n", - " 3.36490000e-01, 5.22500000e-02, 0.00000000e+00, 1.88100000e-02,\n", - " 1.96460000e-01, 3.76200000e-02, 6.68800000e-02, 1.10770000e-01,\n", - " 7.33590000e-01, 4.80700000e-01, 1.46300000e-02, 5.01600000e-02,\n", - " 2.71700000e-02, 2.09000000e-02, 2.09000000e-02, 6.27000000e-02,\n", - " 6.27000000e-02, 8.04650000e-01, 7.67030000e-01, 5.85200000e-02,\n", - " 8.15100000e-02, 3.13500000e-02, 2.29900000e-02, 6.89700000e-02,\n", - " 2.09000000e-02, 2.09000000e-02, 1.42120000e-01, 1.08680000e-01,\n", - " 1.48390000e-01, 1.86010000e-01, 1.58631000e+00, 3.26040000e-01,\n", - " 2.88420000e-01, 3.00960000e-01, 5.62210000e-01, 4.18000000e-02,\n", - " 2.71700000e-01, 7.75390000e-01, 5.43400000e-02, 2.20704000e+00,\n", - " 1.65319000e+00, 1.01365000e+00, 1.12860000e-01, 3.13500000e-02,\n", - " 1.84965000e+00, 4.68160000e-01, 7.79570000e-01, 1.71380000e-01,\n", - " 3.97100000e-02, 6.39540000e-01, 5.14140000e-01, 2.09000000e-02,\n", - " 8.36000000e-03, 6.27000000e-03, 1.88100000e-01, 8.36000000e-03,\n", - " 8.71530000e-01, 1.86846000e+00, 8.36000000e-02, 1.71380000e-01,\n", - " 3.84560000e-01, 1.04500000e-02, 4.80700000e-02, 5.64300000e-01,\n", - " 6.06100000e-02, 1.00320000e-01, 2.15270000e-01, 1.17249000e+00,\n", - " 6.45810000e-01, 1.33760000e-01, 2.11090000e-01, 2.80060000e-01,\n", - " 3.13500000e-02, 1.42120000e-01, 1.79740000e-01, 7.52400000e-02,\n", - " 1.04500000e-02, 1.12860000e-01, 5.43400000e-02, 5.22500000e-02,\n", - " 1.19130000e-01, 1.48390000e-01, 2.19450000e-01, 5.85200000e-02,\n", - " 6.27000000e-03, 7.94200000e-02, 1.00947000e+00, 5.64300000e-02,\n", - " 4.93240000e-01, 5.01600000e-02, 1.79740000e-01, 1.02410000e+00,\n", - " 1.60721000e+00, 3.59480000e-01, 6.85520000e-01, 7.94200000e-02,\n", - " 7.31500000e-02, 5.22500000e-02, 3.82470000e-01, 6.27000000e-02,\n", - " 6.68800000e-02, 3.76200000e-02, 1.04500000e-01, 1.00320000e-01,\n", - " 1.06590000e+00, 3.07230000e-01, 1.21220000e-01, 2.09000000e-03,\n", - " 1.02410000e-01, 3.86650000e-01, 4.45170000e-01, 4.18000000e-01,\n", - " 3.97100000e-02, 1.54660000e-01, 2.92600000e-01, 5.22500000e-02,\n", - " 1.31670000e-01, 7.94200000e-02, 3.55300000e-02, 5.85200000e-02,\n", - " 1.27490000e-01, 9.82300000e-02, 8.56900000e-02, 1.67200000e-02,\n", - " 6.29090000e-01, 8.00470000e-01, 3.13500000e-02, 3.34400000e-02,\n", - " 7.31500000e-02, 2.33662000e+00, 1.26445000e+00, 2.71700000e-02,\n", - " 8.92430000e-01, 4.63980000e-01, 2.09000000e-03, 8.98700000e-02,\n", - " 5.01600000e-02, 4.26360000e-01, 6.27000000e-01, 8.61080000e-01,\n", - " 5.85200000e-02, 1.67409000e+00, 2.86330000e-01, 1.21220000e+00,\n", - " 1.56750000e-01, 2.19450000e-01, 9.34230000e-01, 7.06420000e-01,\n", - " 2.90510000e-01, 3.32310000e-01, 0.00000000e+00, 2.09000000e-01,\n", - " 1.86010000e-01, 2.50800000e-02, 1.25400000e-02, 2.29900000e-02,\n", - " 3.55300000e-02, 6.68800000e-02, 1.37940000e-01, 9.40500000e-02,\n", - " 7.94200000e-02, 3.74110000e-01, 4.07550000e-01, 8.36000000e-03,\n", - " 8.15100000e-02, 1.12860000e-01, 5.01600000e-02, 7.73300000e-02,\n", - " 4.18000000e-02, 1.35850000e-01, 3.49030000e-01, 5.01600000e-02,\n", - " 3.97100000e-02, 2.29064000e+00, 8.98700000e-02, 7.73300000e-02,\n", - " 6.68800000e-02, 4.28450000e-01, 9.82300000e-02, 3.55300000e-02,\n", - " 3.00960000e-01, 7.94200000e-02, 5.53850000e-01, 1.46300000e-01,\n", - " 1.25191000e+00, 9.04970000e-01, 8.56900000e-01, 7.73300000e-02,\n", - " 8.36000000e-03, 9.82300000e-02, 2.29900000e-02, 5.64300000e-02,\n", - " 1.16204000e+00, 6.06100000e-02, 6.27000000e-03, 3.34400000e-02,\n", - " 7.77480000e-01, 1.96460000e-01, 4.59800000e-02, 1.58840000e-01,\n", - " 7.69120000e-01, 1.39612000e+00, 2.55816000e+00, 2.96780000e-01,\n", - " 1.34596000e+00, 1.80785000e+00, 1.56750000e-01, 8.15100000e-02,\n", - " 2.19450000e-01, 3.06812000e+00, 1.63856000e+00, 8.36000000e-03,\n", - " 9.40500000e-02, 1.37940000e-01, 5.85200000e-02, 2.67520000e-01,\n", - " 1.21220000e-01, 2.09000000e-01, 2.31990000e-01, 1.23519000e+00,\n", - " 2.90510000e-01, 1.67200000e-02, 3.51120000e-01, 5.53850000e-01,\n", - " 3.32310000e-01, 2.90510000e-01, 1.88100000e-02, 1.60930000e-01,\n", - " 9.82300000e-02, 3.55300000e-02, 1.88100000e-02, 1.54451000e+00,\n", - " 1.12860000e-01, 4.38900000e-02, 1.46300000e-01, 2.80060000e-01,\n", - " 1.65319000e+00, 9.23780000e-01, 1.44210000e-01, 2.00640000e-01,\n", - " 8.10920000e-01, 1.14950000e-01, 1.96460000e-01, 6.27000000e-01,\n", - " 5.30860000e-01, 7.73300000e-02, 9.63490000e-01, 8.77800000e-02,\n", - " 1.91862000e+00, 1.02410000e-01, 3.07230000e-01, 1.46300000e-02,\n", - " 1.04500000e-02, 2.71700000e-02, 1.58840000e-01, 1.06590000e-01,\n", - " 1.71380000e-01, 9.40500000e-02, 7.31500000e-02, 8.98700000e-02,\n", - " 3.15590000e-01, 1.08680000e-01, 4.38900000e-02, 4.18000000e-01,\n", - " 3.55300000e-02, 1.34178000e+00, 3.23950000e-01, 3.30220000e-01,\n", - " 7.73300000e-02, 1.21220000e-01, 4.59800000e-02, 1.49226000e+00,\n", - " 5.85200000e-02, 2.71700000e-02, 3.11410000e-01, 2.76716000e+00,\n", - " 4.18000000e-02, 6.68800000e-02, 8.36000000e-03, 1.27908000e+00,\n", - " 2.09000000e-02, 2.88420000e-01, 4.18000000e-02, 1.15159000e+00,\n", - " 4.68160000e-01, 1.88100000e-02, 4.18000000e-03, 7.73300000e-01,\n", - " 1.46300000e-02, 1.27490000e-01, 4.26360000e-01, 1.12860000e-01,\n", - " 5.16230000e-01, 1.73470000e-01, 3.67840000e-01, 5.85200000e-02,\n", - " 1.08680000e-01, 1.88100000e-02, 1.59049000e+00, 1.63020000e+00,\n", - " 3.53210000e-01, 8.67350000e-01, 1.78068000e+00, 6.89700000e-02,\n", - " 1.04500000e-02, 3.55300000e-02, 7.31500000e-02, 9.40500000e-02,\n", - " 3.13500000e-02, 1.25400000e-02, 6.89700000e-02, 1.67200000e-01,\n", - " 2.31990000e-01, 6.89700000e-02, 3.76200000e-02, 3.55300000e-02,\n", - " 4.80700000e-02, 6.27000000e-03, 1.54660000e-01, 7.94200000e-02,\n", - " 3.76200000e-02, 1.94370000e-01, 1.67200000e-02, 2.98870000e-01,\n", - " 5.09960000e-01, 1.86010000e-01, 4.84880000e-01, 8.79890000e-01,\n", - " 2.77970000e-01, 1.33760000e+00, 1.46300000e-01, 2.57070000e-01,\n", - " 5.01600000e-01, 2.02730000e-01, 9.61400000e-02, 1.21220000e-01,\n", - " 5.43400000e-02, 6.89700000e-02, 2.09000000e-03, 7.73300000e-02,\n", - " 3.55300000e-02, 1.88100000e-02, 8.56900000e-02, 3.90830000e-01,\n", - " 9.19600000e-02, 7.52400000e-02, 3.13500000e-02, 1.35850000e-01,\n", - " 8.94520000e-01, 3.78290000e-01, 1.02410000e-01, 2.48710000e-01,\n", - " 7.31500000e-02, 1.83920000e+00, 1.29580000e-01, 6.24910000e-01,\n", - " 1.25400000e-01, 1.58840000e-01, 6.47900000e-02, 1.83920000e-01,\n", - " 9.61400000e-02, 6.89700000e-02, 2.34080000e-01, 1.25400000e-02,\n", - " 3.76200000e-02, 9.82300000e-02, 7.31500000e-02, 9.61400000e-02,\n", - " 2.71700000e-02, 1.40030000e-01, 8.36000000e-01, 2.40350000e-01,\n", - " 3.78290000e-01, 2.27810000e-01, 1.31670000e-01, 2.88420000e-01,\n", - " 9.63490000e-01, 7.33590000e-01, 5.43400000e-02, 2.17360000e-01,\n", - " 1.10770000e-01, 1.44210000e-01, 3.26040000e-01, 6.20730000e-01,\n", - " 6.27000000e-03, 1.04500000e-02, 7.37770000e-01, 7.60760000e-01,\n", - " 1.17040000e-01, 1.46300000e-02, 8.15100000e-02, 5.43400000e-02,\n", - " 6.27000000e-03, 1.46300000e-02, 6.27000000e-02, 7.31500000e-02,\n", - " 8.29730000e-01, 4.01280000e-01, 4.38900000e-02, 1.23310000e-01,\n", - " 8.61080000e-01, 5.01600000e-02, 1.56332000e+00, 7.52400000e-02,\n", - " 1.12651000e+00, 1.02410000e-01, 4.45170000e-01, 8.36000000e-03,\n", - " 2.71700000e-02, 7.10600000e-02, 2.92600000e-02, 4.74430000e-01,\n", - " 2.88420000e-01, 2.27810000e-01, 3.34400000e-02, 8.98700000e-02,\n", - " 6.27000000e-03, 3.84560000e-01, 1.06590000e-01, 1.25400000e-02,\n", - " 1.75560000e-01, 6.12370000e-01, 2.17360000e-01, 2.09000000e-03,\n", - " 9.07060000e-01, 6.27000000e-02, 6.39540000e-01, 1.04500000e-02,\n", - " 6.27000000e-03, 8.15100000e-02, 3.80380000e-01, 5.85200000e-02,\n", - " 1.58840000e-01, 3.69930000e-01, 1.88100000e-02, 2.50800000e-02,\n", - " 1.32088000e+00, 8.36000000e-03, 8.36000000e-03, 6.68800000e-02,\n", - " 7.73300000e-02, 6.68800000e-02, 2.29900000e-02, 1.12860000e-01,\n", - " 9.61400000e-02, 1.33760000e-01, 1.00320000e-01, 2.88420000e-01,\n", - " 5.20410000e-01, 3.97100000e-02, 2.09000000e-02, 5.43400000e-02,\n", - " 8.98700000e-02, 9.19600000e-02, 3.00960000e-01, 3.55300000e-02,\n", - " 1.88100000e-02, 1.02410000e-01, 5.32950000e-01, 1.73470000e-01,\n", - " 9.82300000e-02, 3.70348000e+00, 4.18000000e-03, 4.59800000e-02,\n", - " 4.38900000e-02, 1.25400000e-02, 1.46300000e-02, 1.88100000e-02,\n", - " 1.67200000e-02, 1.21220000e-01, 2.92600000e-02, 3.88740000e-01,\n", - " 2.01058000e+00, 1.14950000e-01, 3.97100000e-02, 1.35850000e-01,\n", - " 7.25230000e-01, 5.64300000e-02, 3.55300000e-02, 1.56750000e-01,\n", - " 3.13500000e-02, 1.81830000e-01, 3.09320000e-01, 2.52890000e-01,\n", - " 2.29900000e-02, 1.17040000e-01, 8.15100000e-02, 6.06100000e-02,\n", - " 9.82300000e-02, 5.47580000e-01, 1.17040000e-01, 1.90190000e-01,\n", - " 3.09320000e-01, 3.76200000e-01, 2.92600000e-02, 8.36000000e-02,\n", - " 3.46940000e-01, 3.17680000e-01, 1.13278000e+00, 2.71700000e-02,\n", - " 4.15910000e-01, 5.01600000e-02, 1.23310000e-01, 1.73470000e-01,\n", - " 4.18000000e-02, 1.73470000e-01, 6.27000000e-02, 5.22500000e-02,\n", - " 1.46300000e-01, 1.65110000e-01, 3.76200000e-02, 1.67200000e-02,\n", - " 1.33760000e-01, 2.36170000e-01, 1.48390000e-01, 9.82300000e-02,\n", - " 5.64300000e-02, 6.27000000e-03, 2.38260000e-01, 6.70890000e-01,\n", - " 8.98700000e-02, 4.59800000e-02, 2.09000000e-03, 1.37940000e-01,\n", - " 9.82300000e-02, 3.13500000e-02, 3.76200000e-02, 1.65110000e-01,\n", - " 5.01600000e-02, 1.07008000e+00, 9.82300000e-02, 3.76200000e-02,\n", - " 0.00000000e+00, 2.13180000e-01, 5.01600000e-02, 6.68800000e-02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.51194276e+03, -2.52731782e+03, 1.05230290e+02, 5.82575420e+01,\n", - " 0.00000000e+00, 2.78812881e+00, 1.94568950e+02, 0.00000000e+00,\n", - " 0.00000000e+00, -2.91940151e+01, 3.57727827e+01, 3.34163454e+02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 1.73530000e-01, 8.10670000e-01, 1.58249000e+00, 1.12147000e+00,\n", - " 5.95700000e-02, 1.08780000e-01, 7.25200000e-02, 1.52810000e-01,\n", - " 2.51230000e-01, 3.88500000e-02, 1.52810000e-01, 1.21730000e-01,\n", - " 2.72468000e+00, 1.03600000e-02, 3.62600000e-02, 2.33100000e-02,\n", - " 1.35975000e+00, 9.79020000e-01, 1.47630000e-01, 2.30510000e-01,\n", - " 5.43900000e-02, 2.84900000e-02, 1.55400000e-02, 0.00000000e+00,\n", - " 5.18000000e-02, 1.70940000e-01, 1.29500000e-02, 9.97150000e-01,\n", - " 1.94250000e-01, 8.00310000e-01, 4.24760000e-01, 3.23750000e-01,\n", - " 3.57420000e-01, 1.55400000e-02, 0.00000000e+00, 1.81300000e-02,\n", - " 2.02020000e-01, 9.32400000e-02, 4.66200000e-02, 3.36700000e-02,\n", - " 1.16550000e-01, 1.08780000e-01, 2.92670000e-01, 6.16420000e-01,\n", - " 9.84200000e-02, 1.02305000e+00, 3.23750000e-01, 1.30277000e+00,\n", - " 1.63170000e-01, 4.55322000e+00, 2.84900000e-02, 3.62600000e-02,\n", - " 1.19140000e-01, 8.54700000e-02, 1.91660000e-01, 4.66200000e-02,\n", - " 1.70940000e-01, 1.36234000e+00, 2.36467000e+00, 6.34550000e-01,\n", - " 4.42890000e-01, 3.88500000e-01, 1.55400000e-01, 6.63040000e-01,\n", - " 8.02900000e-02, 6.47500000e-02, 6.31960000e-01, 5.38720000e-01,\n", - " 2.59000000e-02, 0.00000000e+00, 1.19140000e-01, 1.21730000e-01,\n", - " 1.03600000e-02, 2.84900000e-02, 2.17560000e-01, 4.45480000e-01,\n", - " 2.64180000e-01, 8.54700000e-02, 8.80600000e-02, 6.52680000e-01,\n", - " 1.51774000e+00, 1.34939000e+00, 2.95260000e-01, 4.76560000e-01,\n", - " 5.56850000e-01, 6.21600000e-01, 6.99300000e-02, 1.45040000e-01,\n", - " 2.59000000e-02, 3.10800000e-02, 4.66200000e-02, 0.00000000e+00,\n", - " 1.29500000e-02, 3.62600000e-02, 5.25770000e-01, 1.37270000e-01,\n", - " 1.55400000e-02, 0.00000000e+00, 3.88500000e-02, 4.22170000e-01,\n", - " 3.36700000e-01, 1.20176000e+00, 1.57472000e+00, 2.92670000e-01,\n", - " 4.66200000e-02, 2.33100000e-02, 1.21730000e-01, 2.33100000e-02,\n", - " 6.96710000e-01, 5.41310000e-01, 1.65760000e-01, 1.34680000e-01,\n", - " 1.41155000e+00, 2.84900000e-01, 0.00000000e+00, 6.81170000e-01,\n", - " 4.48070000e-01, 2.21186000e+00, 3.57420000e-01, 1.05931000e+00,\n", - " 2.20150000e-01, 3.00440000e-01, 8.21030000e-01, 1.37788000e+00,\n", - " 1.23284000e+00, 2.46827000e+00, 3.67780000e-01, 1.57990000e-01,\n", - " 1.04895000e+00, 1.30018000e+00, 4.42890000e-01, 2.43460000e-01,\n", - " 5.18000000e-02, 2.07200000e-01, 3.85910000e-01, 2.69360000e-01,\n", - " 2.27920000e-01, 6.73400000e-01, 1.91660000e-01, 6.47500000e-02,\n", - " 1.28723000e+00, 1.09557000e+00, 9.60890000e-01, 1.00492000e+00,\n", - " 1.52810000e-01, 1.73530000e-01, 3.36700000e-02, 9.06500000e-02,\n", - " 1.86480000e-01, 3.57420000e-01, 0.00000000e+00, 0.00000000e+00,\n", - " 2.57187000e+00, 3.73996000e+00, 8.11965000e+00, 2.12380000e-01,\n", - " 2.33100000e-01, 1.26910000e-01, 2.84900000e-02, 3.10800000e-02,\n", - " 7.77000000e-02, 6.73400000e-02, 4.16990000e-01, 3.80730000e-01,\n", - " 3.57420000e-01, 1.03600000e-01, 2.68324000e+00, 4.91323000e+00,\n", - " 7.51100000e-02, 6.47500000e-02, 1.73530000e-01, 6.99300000e-02,\n", - " 7.77000000e-02, 1.83890000e-01, 3.47060000e-01, 1.24320000e-01,\n", - " 1.76120000e-01, 1.81300000e-01, 2.33100000e-02, 4.42890000e-01,\n", - " 5.69800000e-02, 1.37270000e-01, 1.63170000e-01, 4.22170000e-01,\n", - " 3.28930000e-01, 2.84900000e-02, 4.89510000e-01, 1.47630000e-01,\n", - " 1.06190000e-01, 1.16550000e-01, 2.74540000e-01, 1.39860000e-01,\n", - " 3.03030000e-01, 1.55400000e-02, 1.42450000e-01, 8.80600000e-02,\n", - " 1.24320000e-01, 4.40300000e-02, 5.07381000e+00, 1.29500000e-01,\n", - " 1.13960000e-01, 5.18000000e+00, 1.86480000e-01, 3.36700000e-02,\n", - " 0.00000000e+00, 3.36700000e-02, 1.55400000e-02, 1.29500000e-01,\n", - " 1.78710000e-01, 3.62600000e-02, 1.37270000e-01, 1.70940000e+00,\n", - " 1.09039000e+00, 1.31831000e+00, 4.59984000e+00, 3.99378000e+00,\n", - " 1.08780000e-01, 6.21600000e-02, 1.04636000e+00, 6.73400000e-01,\n", - " 2.27661000e+00, 1.61616000e+00, 2.33100000e-02, 5.69800000e-01,\n", - " 1.63170000e-01, 2.31287000e+00, 1.29500000e-02, 1.81300000e-02,\n", - " 2.84900000e-02, 1.29500000e-02, 8.15850000e-01, 6.44910000e-01,\n", - " 6.47500000e-01, 2.03315000e+00, 1.06190000e-01, 2.59000000e-02,\n", - " 1.01269000e+00, 3.36700000e-02, 1.06190000e-01, 1.63429000e+00,\n", - " 1.11370000e-01, 1.03600000e-01, 9.84200000e-02, 1.13960000e-01,\n", - " 5.95700000e-02, 1.32349000e+00, 7.51100000e-01, 2.33100000e-01,\n", - " 3.54830000e-01, 1.24320000e-01, 2.33100000e-02, 6.63040000e-01,\n", - " 4.14400000e-01, 9.45350000e-01, 9.32400000e-02, 1.65760000e-01,\n", - " 5.95700000e-02, 9.58300000e-02, 1.94250000e-01, 7.43330000e-01,\n", - " 2.09790000e-01, 7.64050000e-01, 2.92670000e-01, 1.08780000e-01,\n", - " 2.27920000e-01, 3.91090000e-01, 6.52680000e-01, 1.78192000e+00,\n", - " 1.99430000e-01, 9.45350000e-01, 8.80600000e-02, 8.54700000e-02,\n", - " 2.33100000e-01, 4.73970000e-01, 1.81300000e-01, 5.38720000e-01,\n", - " 3.62600000e-02, 1.21730000e-01, 6.73400000e-01, 3.52240000e-01,\n", - " 4.40300000e-02, 8.02900000e-02, 2.82310000e-01, 1.63170000e-01,\n", - " 3.08210000e-01, 2.07200000e-01, 2.84900000e-02, 9.06500000e-02,\n", - " 2.07200000e-02, 2.59000000e-03, 1.05154000e+00, 1.40637000e+00,\n", - " 6.73400000e-02, 4.92100000e-02, 3.11059000e+00, 1.40378000e+00,\n", - " 2.66770000e-01, 1.05154000e+00, 1.63170000e-01, 5.49080000e-01,\n", - " 7.25200000e-02, 6.47500000e-02, 7.32970000e-01, 8.80600000e-02,\n", - " 3.36700000e-02, 5.10230000e-01, 2.87490000e-01, 1.34680000e-01,\n", - " 1.18622000e+00, 4.14400000e-02, 9.58300000e-02, 4.92100000e-02,\n", - " 6.99300000e-02, 2.59000000e-02, 1.61875000e+00, 8.44340000e-01,\n", - " 9.58300000e-02, 4.40300000e-02, 6.88940000e-01, 7.25200000e-02,\n", - " 3.44470000e-01, 2.59000000e-03, 3.18570000e-01, 4.09220000e-01,\n", - " 1.16550000e-01, 3.85910000e-01, 6.47500000e-02, 2.05905000e+00,\n", - " 8.80600000e-02, 8.54700000e-02, 8.02900000e-02, 2.96296000e+00,\n", - " 9.06500000e-02, 2.14970000e-01, 2.33100000e-02, 1.29500000e-02,\n", - " 7.17430000e-01, 2.56410000e-01, 2.07200000e-02, 0.00000000e+00,\n", - " 9.11680000e-01, 4.71380000e-01, 1.35716000e+00, 5.90520000e-01,\n", - " 1.55400000e-02, 1.03600000e-02, 7.77000000e-02, 3.52240000e-01,\n", - " 4.16990000e-01, 6.47500000e-02, 0.00000000e+00, 2.33100000e-02,\n", - " 2.43460000e-01, 4.66200000e-02, 8.28800000e-02, 1.37270000e-01,\n", - " 9.09090000e-01, 5.95700000e-01, 1.81300000e-02, 6.21600000e-02,\n", - " 3.36700000e-02, 2.59000000e-02, 2.59000000e-02, 7.77000000e-02,\n", - " 7.77000000e-02, 9.97150000e-01, 9.50530000e-01, 7.25200000e-02,\n", - " 1.01010000e-01, 3.88500000e-02, 2.84900000e-02, 8.54700000e-02,\n", - " 2.59000000e-02, 2.59000000e-02, 1.76120000e-01, 1.34680000e-01,\n", - " 1.83890000e-01, 2.30510000e-01, 1.96581000e+00, 4.04040000e-01,\n", - " 3.57420000e-01, 3.72960000e-01, 6.96710000e-01, 5.18000000e-02,\n", - " 3.36700000e-01, 9.60890000e-01, 6.73400000e-02, 2.73504000e+00,\n", - " 2.04869000e+00, 1.25615000e+00, 1.39860000e-01, 3.88500000e-02,\n", - " 2.29215000e+00, 5.80160000e-01, 9.66070000e-01, 2.12380000e-01,\n", - " 4.92100000e-02, 7.92540000e-01, 6.37140000e-01, 2.59000000e-02,\n", - " 1.03600000e-02, 7.77000000e-03, 2.33100000e-01, 1.03600000e-02,\n", - " 1.08003000e+00, 2.31546000e+00, 1.03600000e-01, 2.12380000e-01,\n", - " 4.76560000e-01, 1.29500000e-02, 5.95700000e-02, 6.99300000e-01,\n", - " 7.51100000e-02, 1.24320000e-01, 2.66770000e-01, 1.45299000e+00,\n", - " 8.00310000e-01, 1.65760000e-01, 2.61590000e-01, 3.47060000e-01,\n", - " 3.88500000e-02, 1.76120000e-01, 2.22740000e-01, 9.32400000e-02,\n", - " 1.29500000e-02, 1.39860000e-01, 6.73400000e-02, 6.47500000e-02,\n", - " 1.47630000e-01, 1.83890000e-01, 2.71950000e-01, 7.25200000e-02,\n", - " 7.77000000e-03, 9.84200000e-02, 1.25097000e+00, 6.99300000e-02,\n", - " 6.11240000e-01, 6.21600000e-02, 2.22740000e-01, 1.26910000e+00,\n", - " 1.99171000e+00, 4.45480000e-01, 8.49520000e-01, 9.84200000e-02,\n", - " 9.06500000e-02, 6.47500000e-02, 4.73970000e-01, 7.77000000e-02,\n", - " 8.28800000e-02, 4.66200000e-02, 1.29500000e-01, 1.24320000e-01,\n", - " 1.32090000e+00, 3.80730000e-01, 1.50220000e-01, 2.59000000e-03,\n", - " 1.26910000e-01, 4.79150000e-01, 5.51670000e-01, 5.18000000e-01,\n", - " 4.92100000e-02, 1.91660000e-01, 3.62600000e-01, 6.47500000e-02,\n", - " 1.63170000e-01, 9.84200000e-02, 4.40300000e-02, 7.25200000e-02,\n", - " 1.57990000e-01, 1.21730000e-01, 1.06190000e-01, 2.07200000e-02,\n", - " 7.79590000e-01, 9.91970000e-01, 3.88500000e-02, 4.14400000e-02,\n", - " 9.06500000e-02, 2.89562000e+00, 1.56695000e+00, 3.36700000e-02,\n", - " 1.10593000e+00, 5.74980000e-01, 2.59000000e-03, 1.11370000e-01,\n", - " 6.21600000e-02, 5.28360000e-01, 7.77000000e-01, 1.06708000e+00,\n", - " 7.25200000e-02, 2.07459000e+00, 3.54830000e-01, 1.50220000e+00,\n", - " 1.94250000e-01, 2.71950000e-01, 1.15773000e+00, 8.75420000e-01,\n", - " 3.60010000e-01, 4.11810000e-01, 0.00000000e+00, 2.59000000e-01,\n", - " 2.30510000e-01, 3.10800000e-02, 1.55400000e-02, 2.84900000e-02,\n", - " 4.40300000e-02, 8.28800000e-02, 1.70940000e-01, 1.16550000e-01,\n", - " 9.84200000e-02, 4.63610000e-01, 5.05050000e-01, 1.03600000e-02,\n", - " 1.01010000e-01, 1.39860000e-01, 6.21600000e-02, 9.58300000e-02,\n", - " 5.18000000e-02, 1.68350000e-01, 4.32530000e-01, 6.21600000e-02,\n", - " 4.92100000e-02, 2.83864000e+00, 1.11370000e-01, 9.58300000e-02,\n", - " 8.28800000e-02, 5.30950000e-01, 1.21730000e-01, 4.40300000e-02,\n", - " 3.72960000e-01, 9.84200000e-02, 6.86350000e-01, 1.81300000e-01,\n", - " 1.55141000e+00, 1.12147000e+00, 1.06190000e+00, 9.58300000e-02,\n", - " 1.03600000e-02, 1.21730000e-01, 2.84900000e-02, 6.99300000e-02,\n", - " 1.44004000e+00, 7.51100000e-02, 7.77000000e-03, 4.14400000e-02,\n", - " 9.63480000e-01, 2.43460000e-01, 5.69800000e-02, 1.96840000e-01,\n", - " 9.53120000e-01, 1.73012000e+00, 3.17016000e+00, 3.67780000e-01,\n", - " 1.66796000e+00, 2.24035000e+00, 1.94250000e-01, 1.01010000e-01,\n", - " 2.71950000e-01, 3.80212000e+00, 2.03056000e+00, 1.03600000e-02,\n", - " 1.16550000e-01, 1.70940000e-01, 7.25200000e-02, 3.31520000e-01,\n", - " 1.50220000e-01, 2.59000000e-01, 2.87490000e-01, 1.53069000e+00,\n", - " 3.60010000e-01, 2.07200000e-02, 4.35120000e-01, 6.86350000e-01,\n", - " 4.11810000e-01, 3.60010000e-01, 2.33100000e-02, 1.99430000e-01,\n", - " 1.21730000e-01, 4.40300000e-02, 2.33100000e-02, 1.91401000e+00,\n", - " 1.39860000e-01, 5.43900000e-02, 1.81300000e-01, 3.47060000e-01,\n", - " 2.04869000e+00, 1.14478000e+00, 1.78710000e-01, 2.48640000e-01,\n", - " 1.00492000e+00, 1.42450000e-01, 2.43460000e-01, 7.77000000e-01,\n", - " 6.57860000e-01, 9.58300000e-02, 1.19399000e+00, 1.08780000e-01,\n", - " 2.37762000e+00, 1.26910000e-01, 3.80730000e-01, 1.81300000e-02,\n", - " 1.29500000e-02, 3.36700000e-02, 1.96840000e-01, 1.32090000e-01,\n", - " 2.12380000e-01, 1.16550000e-01, 9.06500000e-02, 1.11370000e-01,\n", - " 3.91090000e-01, 1.34680000e-01, 5.43900000e-02, 5.18000000e-01,\n", - " 4.40300000e-02, 1.66278000e+00, 4.01450000e-01, 4.09220000e-01,\n", - " 9.58300000e-02, 1.50220000e-01, 5.69800000e-02, 1.84926000e+00,\n", - " 7.25200000e-02, 3.36700000e-02, 3.85910000e-01, 3.42916000e+00,\n", - " 5.18000000e-02, 8.28800000e-02, 1.03600000e-02, 1.58508000e+00,\n", - " 2.59000000e-02, 3.57420000e-01, 5.18000000e-02, 1.42709000e+00,\n", - " 5.80160000e-01, 2.33100000e-02, 5.18000000e-03, 9.58300000e-01,\n", - " 1.81300000e-02, 1.57990000e-01, 5.28360000e-01, 1.39860000e-01,\n", - " 6.39730000e-01, 2.14970000e-01, 4.55840000e-01, 7.25200000e-02,\n", - " 1.34680000e-01, 2.33100000e-02, 1.97099000e+00, 2.02020000e+00,\n", - " 4.37710000e-01, 1.07485000e+00, 2.20668000e+00, 8.54700000e-02,\n", - " 1.29500000e-02, 4.40300000e-02, 9.06500000e-02, 1.16550000e-01,\n", - " 3.88500000e-02, 1.55400000e-02, 8.54700000e-02, 2.07200000e-01,\n", - " 2.87490000e-01, 8.54700000e-02, 4.66200000e-02, 4.40300000e-02,\n", - " 5.95700000e-02, 7.77000000e-03, 1.91660000e-01, 9.84200000e-02,\n", - " 4.66200000e-02, 2.40870000e-01, 2.07200000e-02, 3.70370000e-01,\n", - " 6.31960000e-01, 2.30510000e-01, 6.00880000e-01, 1.09039000e+00,\n", - " 3.44470000e-01, 1.65760000e+00, 1.81300000e-01, 3.18570000e-01,\n", - " 6.21600000e-01, 2.51230000e-01, 1.19140000e-01, 1.50220000e-01,\n", - " 6.73400000e-02, 8.54700000e-02, 2.59000000e-03, 9.58300000e-02,\n", - " 4.40300000e-02, 2.33100000e-02, 1.06190000e-01, 4.84330000e-01,\n", - " 1.13960000e-01, 9.32400000e-02, 3.88500000e-02, 1.68350000e-01,\n", - " 1.10852000e+00, 4.68790000e-01, 1.26910000e-01, 3.08210000e-01,\n", - " 9.06500000e-02, 2.27920000e+00, 1.60580000e-01, 7.74410000e-01,\n", - " 1.55400000e-01, 1.96840000e-01, 8.02900000e-02, 2.27920000e-01,\n", - " 1.19140000e-01, 8.54700000e-02, 2.90080000e-01, 1.55400000e-02,\n", - " 4.66200000e-02, 1.21730000e-01, 9.06500000e-02, 1.19140000e-01,\n", - " 3.36700000e-02, 1.73530000e-01, 1.03600000e+00, 2.97850000e-01,\n", - " 4.68790000e-01, 2.82310000e-01, 1.63170000e-01, 3.57420000e-01,\n", - " 1.19399000e+00, 9.09090000e-01, 6.73400000e-02, 2.69360000e-01,\n", - " 1.37270000e-01, 1.78710000e-01, 4.04040000e-01, 7.69230000e-01,\n", - " 7.77000000e-03, 1.29500000e-02, 9.14270000e-01, 9.42760000e-01,\n", - " 1.45040000e-01, 1.81300000e-02, 1.01010000e-01, 6.73400000e-02,\n", - " 7.77000000e-03, 1.81300000e-02, 7.77000000e-02, 9.06500000e-02,\n", - " 1.02823000e+00, 4.97280000e-01, 5.43900000e-02, 1.52810000e-01,\n", - " 1.06708000e+00, 6.21600000e-02, 1.93732000e+00, 9.32400000e-02,\n", - " 1.39601000e+00, 1.26910000e-01, 5.51670000e-01, 1.03600000e-02,\n", - " 3.36700000e-02, 8.80600000e-02, 3.62600000e-02, 5.87930000e-01,\n", - " 3.57420000e-01, 2.82310000e-01, 4.14400000e-02, 1.11370000e-01,\n", - " 7.77000000e-03, 4.76560000e-01, 1.32090000e-01, 1.55400000e-02,\n", - " 2.17560000e-01, 7.58870000e-01, 2.69360000e-01, 2.59000000e-03,\n", - " 1.12406000e+00, 7.77000000e-02, 7.92540000e-01, 1.29500000e-02,\n", - " 7.77000000e-03, 1.01010000e-01, 4.71380000e-01, 7.25200000e-02,\n", - " 1.96840000e-01, 4.58430000e-01, 2.33100000e-02, 3.10800000e-02,\n", - " 1.63688000e+00, 1.03600000e-02, 1.03600000e-02, 8.28800000e-02,\n", - " 9.58300000e-02, 8.28800000e-02, 2.84900000e-02, 1.39860000e-01,\n", - " 1.19140000e-01, 1.65760000e-01, 1.24320000e-01, 3.57420000e-01,\n", - " 6.44910000e-01, 4.92100000e-02, 2.59000000e-02, 6.73400000e-02,\n", - " 1.11370000e-01, 1.13960000e-01, 3.72960000e-01, 4.40300000e-02,\n", - " 2.33100000e-02, 1.26910000e-01, 6.60450000e-01, 2.14970000e-01,\n", - " 1.21730000e-01, 4.58948000e+00, 5.18000000e-03, 5.69800000e-02,\n", - " 5.43900000e-02, 1.55400000e-02, 1.81300000e-02, 2.33100000e-02,\n", - " 2.07200000e-02, 1.50220000e-01, 3.62600000e-02, 4.81740000e-01,\n", - " 2.49158000e+00, 1.42450000e-01, 4.92100000e-02, 1.68350000e-01,\n", - " 8.98730000e-01, 6.99300000e-02, 4.40300000e-02, 1.94250000e-01,\n", - " 3.88500000e-02, 2.25330000e-01, 3.83320000e-01, 3.13390000e-01,\n", - " 2.84900000e-02, 1.45040000e-01, 1.01010000e-01, 7.51100000e-02,\n", - " 1.21730000e-01, 6.78580000e-01, 1.45040000e-01, 2.35690000e-01,\n", - " 3.83320000e-01, 4.66200000e-01, 3.62600000e-02, 1.03600000e-01,\n", - " 4.29940000e-01, 3.93680000e-01, 1.40378000e+00, 3.36700000e-02,\n", - " 5.15410000e-01, 6.21600000e-02, 1.52810000e-01, 2.14970000e-01,\n", - " 5.18000000e-02, 2.14970000e-01, 7.77000000e-02, 6.47500000e-02,\n", - " 1.81300000e-01, 2.04610000e-01, 4.66200000e-02, 2.07200000e-02,\n", - " 1.65760000e-01, 2.92670000e-01, 1.83890000e-01, 1.21730000e-01,\n", - " 6.99300000e-02, 7.77000000e-03, 2.95260000e-01, 8.31390000e-01,\n", - " 1.11370000e-01, 5.69800000e-02, 2.59000000e-03, 1.70940000e-01,\n", - " 1.21730000e-01, 3.88500000e-02, 4.66200000e-02, 2.04610000e-01,\n", - " 6.21600000e-02, 1.32608000e+00, 1.21730000e-01, 4.66200000e-02,\n", - " 0.00000000e+00, 2.64180000e-01, 6.21600000e-02, 8.28800000e-02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.51403884e+03, -2.52731782e+03, 1.01254403e+02, 5.27337769e+01,\n", - " 0.00000000e+00, -3.06117919e+00, 1.83724707e+02, 0.00000000e+00,\n", - " 0.00000000e+00, -3.61780274e+01, 3.34977465e+01, 2.92449893e+02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 2.41200000e-01, 1.12680000e+00, 2.19960000e+00, 1.55880000e+00,\n", - " 8.28000000e-02, 1.51200000e-01, 1.00800000e-01, 2.12400000e-01,\n", - " 3.49200000e-01, 5.40000000e-02, 2.12400000e-01, 1.69200000e-01,\n", - " 3.78720000e+00, 1.44000000e-02, 5.04000000e-02, 3.24000000e-02,\n", - " 1.89000000e+00, 1.36080000e+00, 2.05200000e-01, 3.20400000e-01,\n", - " 7.56000000e-02, 3.96000000e-02, 2.16000000e-02, 0.00000000e+00,\n", - " 7.20000000e-02, 2.37600000e-01, 1.80000000e-02, 1.38600000e+00,\n", - " 2.70000000e-01, 1.11240000e+00, 5.90400000e-01, 4.50000000e-01,\n", - " 4.96800000e-01, 2.16000000e-02, 0.00000000e+00, 2.52000000e-02,\n", - " 2.80800000e-01, 1.29600000e-01, 6.48000000e-02, 4.68000000e-02,\n", - " 1.62000000e-01, 1.51200000e-01, 4.06800000e-01, 8.56800000e-01,\n", - " 1.36800000e-01, 1.42200000e+00, 4.50000000e-01, 1.81080000e+00,\n", - " 2.26800000e-01, 6.32880000e+00, 3.96000000e-02, 5.04000000e-02,\n", - " 1.65600000e-01, 1.18800000e-01, 2.66400000e-01, 6.48000000e-02,\n", - " 2.37600000e-01, 1.89360000e+00, 3.28680000e+00, 8.82000000e-01,\n", - " 6.15600000e-01, 5.40000000e-01, 2.16000000e-01, 9.21600000e-01,\n", - " 1.11600000e-01, 9.00000000e-02, 8.78400000e-01, 7.48800000e-01,\n", - " 3.60000000e-02, 0.00000000e+00, 1.65600000e-01, 1.69200000e-01,\n", - " 1.44000000e-02, 3.96000000e-02, 3.02400000e-01, 6.19200000e-01,\n", - " 3.67200000e-01, 1.18800000e-01, 1.22400000e-01, 9.07200000e-01,\n", - " 2.10960000e+00, 1.87560000e+00, 4.10400000e-01, 6.62400000e-01,\n", - " 7.74000000e-01, 8.64000000e-01, 9.72000000e-02, 2.01600000e-01,\n", - " 3.60000000e-02, 4.32000000e-02, 6.48000000e-02, 0.00000000e+00,\n", - " 1.80000000e-02, 5.04000000e-02, 7.30800000e-01, 1.90800000e-01,\n", - " 2.16000000e-02, 0.00000000e+00, 5.40000000e-02, 5.86800000e-01,\n", - " 4.68000000e-01, 1.67040000e+00, 2.18880000e+00, 4.06800000e-01,\n", - " 6.48000000e-02, 3.24000000e-02, 1.69200000e-01, 3.24000000e-02,\n", - " 9.68400000e-01, 7.52400000e-01, 2.30400000e-01, 1.87200000e-01,\n", - " 1.96200000e+00, 3.96000000e-01, 0.00000000e+00, 9.46800000e-01,\n", - " 6.22800000e-01, 3.07440000e+00, 4.96800000e-01, 1.47240000e+00,\n", - " 3.06000000e-01, 4.17600000e-01, 1.14120000e+00, 1.91520000e+00,\n", - " 1.71360000e+00, 3.43080000e+00, 5.11200000e-01, 2.19600000e-01,\n", - " 1.45800000e+00, 1.80720000e+00, 6.15600000e-01, 3.38400000e-01,\n", - " 7.20000000e-02, 2.88000000e-01, 5.36400000e-01, 3.74400000e-01,\n", - " 3.16800000e-01, 9.36000000e-01, 2.66400000e-01, 9.00000000e-02,\n", - " 1.78920000e+00, 1.52280000e+00, 1.33560000e+00, 1.39680000e+00,\n", - " 2.12400000e-01, 2.41200000e-01, 4.68000000e-02, 1.26000000e-01,\n", - " 2.59200000e-01, 4.96800000e-01, 0.00000000e+00, 0.00000000e+00,\n", - " 3.57480000e+00, 5.19840000e+00, 1.12860000e+01, 2.95200000e-01,\n", - " 3.24000000e-01, 1.76400000e-01, 3.96000000e-02, 4.32000000e-02,\n", - " 1.08000000e-01, 9.36000000e-02, 5.79600000e-01, 5.29200000e-01,\n", - " 4.96800000e-01, 1.44000000e-01, 3.72960000e+00, 6.82920000e+00,\n", - " 1.04400000e-01, 9.00000000e-02, 2.41200000e-01, 9.72000000e-02,\n", - " 1.08000000e-01, 2.55600000e-01, 4.82400000e-01, 1.72800000e-01,\n", - " 2.44800000e-01, 2.52000000e-01, 3.24000000e-02, 6.15600000e-01,\n", - " 7.92000000e-02, 1.90800000e-01, 2.26800000e-01, 5.86800000e-01,\n", - " 4.57200000e-01, 3.96000000e-02, 6.80400000e-01, 2.05200000e-01,\n", - " 1.47600000e-01, 1.62000000e-01, 3.81600000e-01, 1.94400000e-01,\n", - " 4.21200000e-01, 2.16000000e-02, 1.98000000e-01, 1.22400000e-01,\n", - " 1.72800000e-01, 6.12000000e-02, 7.05240000e+00, 1.80000000e-01,\n", - " 1.58400000e-01, 7.20000000e+00, 2.59200000e-01, 4.68000000e-02,\n", - " 0.00000000e+00, 4.68000000e-02, 2.16000000e-02, 1.80000000e-01,\n", - " 2.48400000e-01, 5.04000000e-02, 1.90800000e-01, 2.37600000e+00,\n", - " 1.51560000e+00, 1.83240000e+00, 6.39360000e+00, 5.55120000e+00,\n", - " 1.51200000e-01, 8.64000000e-02, 1.45440000e+00, 9.36000000e-01,\n", - " 3.16440000e+00, 2.24640000e+00, 3.24000000e-02, 7.92000000e-01,\n", - " 2.26800000e-01, 3.21480000e+00, 1.80000000e-02, 2.52000000e-02,\n", - " 3.96000000e-02, 1.80000000e-02, 1.13400000e+00, 8.96400000e-01,\n", - " 9.00000000e-01, 2.82600000e+00, 1.47600000e-01, 3.60000000e-02,\n", - " 1.40760000e+00, 4.68000000e-02, 1.47600000e-01, 2.27160000e+00,\n", - " 1.54800000e-01, 1.44000000e-01, 1.36800000e-01, 1.58400000e-01,\n", - " 8.28000000e-02, 1.83960000e+00, 1.04400000e+00, 3.24000000e-01,\n", - " 4.93200000e-01, 1.72800000e-01, 3.24000000e-02, 9.21600000e-01,\n", - " 5.76000000e-01, 1.31400000e+00, 1.29600000e-01, 2.30400000e-01,\n", - " 8.28000000e-02, 1.33200000e-01, 2.70000000e-01, 1.03320000e+00,\n", - " 2.91600000e-01, 1.06200000e+00, 4.06800000e-01, 1.51200000e-01,\n", - " 3.16800000e-01, 5.43600000e-01, 9.07200000e-01, 2.47680000e+00,\n", - " 2.77200000e-01, 1.31400000e+00, 1.22400000e-01, 1.18800000e-01,\n", - " 3.24000000e-01, 6.58800000e-01, 2.52000000e-01, 7.48800000e-01,\n", - " 5.04000000e-02, 1.69200000e-01, 9.36000000e-01, 4.89600000e-01,\n", - " 6.12000000e-02, 1.11600000e-01, 3.92400000e-01, 2.26800000e-01,\n", - " 4.28400000e-01, 2.88000000e-01, 3.96000000e-02, 1.26000000e-01,\n", - " 2.88000000e-02, 3.60000000e-03, 1.46160000e+00, 1.95480000e+00,\n", - " 9.36000000e-02, 6.84000000e-02, 4.32360000e+00, 1.95120000e+00,\n", - " 3.70800000e-01, 1.46160000e+00, 2.26800000e-01, 7.63200000e-01,\n", - " 1.00800000e-01, 9.00000000e-02, 1.01880000e+00, 1.22400000e-01,\n", - " 4.68000000e-02, 7.09200000e-01, 3.99600000e-01, 1.87200000e-01,\n", - " 1.64880000e+00, 5.76000000e-02, 1.33200000e-01, 6.84000000e-02,\n", - " 9.72000000e-02, 3.60000000e-02, 2.25000000e+00, 1.17360000e+00,\n", - " 1.33200000e-01, 6.12000000e-02, 9.57600000e-01, 1.00800000e-01,\n", - " 4.78800000e-01, 3.60000000e-03, 4.42800000e-01, 5.68800000e-01,\n", - " 1.62000000e-01, 5.36400000e-01, 9.00000000e-02, 2.86200000e+00,\n", - " 1.22400000e-01, 1.18800000e-01, 1.11600000e-01, 4.11840000e+00,\n", - " 1.26000000e-01, 2.98800000e-01, 3.24000000e-02, 1.80000000e-02,\n", - " 9.97200000e-01, 3.56400000e-01, 2.88000000e-02, 0.00000000e+00,\n", - " 1.26720000e+00, 6.55200000e-01, 1.88640000e+00, 8.20800000e-01,\n", - " 2.16000000e-02, 1.44000000e-02, 1.08000000e-01, 4.89600000e-01,\n", - " 5.79600000e-01, 9.00000000e-02, 0.00000000e+00, 3.24000000e-02,\n", - " 3.38400000e-01, 6.48000000e-02, 1.15200000e-01, 1.90800000e-01,\n", - " 1.26360000e+00, 8.28000000e-01, 2.52000000e-02, 8.64000000e-02,\n", - " 4.68000000e-02, 3.60000000e-02, 3.60000000e-02, 1.08000000e-01,\n", - " 1.08000000e-01, 1.38600000e+00, 1.32120000e+00, 1.00800000e-01,\n", - " 1.40400000e-01, 5.40000000e-02, 3.96000000e-02, 1.18800000e-01,\n", - " 3.60000000e-02, 3.60000000e-02, 2.44800000e-01, 1.87200000e-01,\n", - " 2.55600000e-01, 3.20400000e-01, 2.73240000e+00, 5.61600000e-01,\n", - " 4.96800000e-01, 5.18400000e-01, 9.68400000e-01, 7.20000000e-02,\n", - " 4.68000000e-01, 1.33560000e+00, 9.36000000e-02, 3.80160000e+00,\n", - " 2.84760000e+00, 1.74600000e+00, 1.94400000e-01, 5.40000000e-02,\n", - " 3.18600000e+00, 8.06400000e-01, 1.34280000e+00, 2.95200000e-01,\n", - " 6.84000000e-02, 1.10160000e+00, 8.85600000e-01, 3.60000000e-02,\n", - " 1.44000000e-02, 1.08000000e-02, 3.24000000e-01, 1.44000000e-02,\n", - " 1.50120000e+00, 3.21840000e+00, 1.44000000e-01, 2.95200000e-01,\n", - " 6.62400000e-01, 1.80000000e-02, 8.28000000e-02, 9.72000000e-01,\n", - " 1.04400000e-01, 1.72800000e-01, 3.70800000e-01, 2.01960000e+00,\n", - " 1.11240000e+00, 2.30400000e-01, 3.63600000e-01, 4.82400000e-01,\n", - " 5.40000000e-02, 2.44800000e-01, 3.09600000e-01, 1.29600000e-01,\n", - " 1.80000000e-02, 1.94400000e-01, 9.36000000e-02, 9.00000000e-02,\n", - " 2.05200000e-01, 2.55600000e-01, 3.78000000e-01, 1.00800000e-01,\n", - " 1.08000000e-02, 1.36800000e-01, 1.73880000e+00, 9.72000000e-02,\n", - " 8.49600000e-01, 8.64000000e-02, 3.09600000e-01, 1.76400000e+00,\n", - " 2.76840000e+00, 6.19200000e-01, 1.18080000e+00, 1.36800000e-01,\n", - " 1.26000000e-01, 9.00000000e-02, 6.58800000e-01, 1.08000000e-01,\n", - " 1.15200000e-01, 6.48000000e-02, 1.80000000e-01, 1.72800000e-01,\n", - " 1.83600000e+00, 5.29200000e-01, 2.08800000e-01, 3.60000000e-03,\n", - " 1.76400000e-01, 6.66000000e-01, 7.66800000e-01, 7.20000000e-01,\n", - " 6.84000000e-02, 2.66400000e-01, 5.04000000e-01, 9.00000000e-02,\n", - " 2.26800000e-01, 1.36800000e-01, 6.12000000e-02, 1.00800000e-01,\n", - " 2.19600000e-01, 1.69200000e-01, 1.47600000e-01, 2.88000000e-02,\n", - " 1.08360000e+00, 1.37880000e+00, 5.40000000e-02, 5.76000000e-02,\n", - " 1.26000000e-01, 4.02480000e+00, 2.17800000e+00, 4.68000000e-02,\n", - " 1.53720000e+00, 7.99200000e-01, 3.60000000e-03, 1.54800000e-01,\n", - " 8.64000000e-02, 7.34400000e-01, 1.08000000e+00, 1.48320000e+00,\n", - " 1.00800000e-01, 2.88360000e+00, 4.93200000e-01, 2.08800000e+00,\n", - " 2.70000000e-01, 3.78000000e-01, 1.60920000e+00, 1.21680000e+00,\n", - " 5.00400000e-01, 5.72400000e-01, 0.00000000e+00, 3.60000000e-01,\n", - " 3.20400000e-01, 4.32000000e-02, 2.16000000e-02, 3.96000000e-02,\n", - " 6.12000000e-02, 1.15200000e-01, 2.37600000e-01, 1.62000000e-01,\n", - " 1.36800000e-01, 6.44400000e-01, 7.02000000e-01, 1.44000000e-02,\n", - " 1.40400000e-01, 1.94400000e-01, 8.64000000e-02, 1.33200000e-01,\n", - " 7.20000000e-02, 2.34000000e-01, 6.01200000e-01, 8.64000000e-02,\n", - " 6.84000000e-02, 3.94560000e+00, 1.54800000e-01, 1.33200000e-01,\n", - " 1.15200000e-01, 7.38000000e-01, 1.69200000e-01, 6.12000000e-02,\n", - " 5.18400000e-01, 1.36800000e-01, 9.54000000e-01, 2.52000000e-01,\n", - " 2.15640000e+00, 1.55880000e+00, 1.47600000e+00, 1.33200000e-01,\n", - " 1.44000000e-02, 1.69200000e-01, 3.96000000e-02, 9.72000000e-02,\n", - " 2.00160000e+00, 1.04400000e-01, 1.08000000e-02, 5.76000000e-02,\n", - " 1.33920000e+00, 3.38400000e-01, 7.92000000e-02, 2.73600000e-01,\n", - " 1.32480000e+00, 2.40480000e+00, 4.40640000e+00, 5.11200000e-01,\n", - " 2.31840000e+00, 3.11400000e+00, 2.70000000e-01, 1.40400000e-01,\n", - " 3.78000000e-01, 5.28480000e+00, 2.82240000e+00, 1.44000000e-02,\n", - " 1.62000000e-01, 2.37600000e-01, 1.00800000e-01, 4.60800000e-01,\n", - " 2.08800000e-01, 3.60000000e-01, 3.99600000e-01, 2.12760000e+00,\n", - " 5.00400000e-01, 2.88000000e-02, 6.04800000e-01, 9.54000000e-01,\n", - " 5.72400000e-01, 5.00400000e-01, 3.24000000e-02, 2.77200000e-01,\n", - " 1.69200000e-01, 6.12000000e-02, 3.24000000e-02, 2.66040000e+00,\n", - " 1.94400000e-01, 7.56000000e-02, 2.52000000e-01, 4.82400000e-01,\n", - " 2.84760000e+00, 1.59120000e+00, 2.48400000e-01, 3.45600000e-01,\n", - " 1.39680000e+00, 1.98000000e-01, 3.38400000e-01, 1.08000000e+00,\n", - " 9.14400000e-01, 1.33200000e-01, 1.65960000e+00, 1.51200000e-01,\n", - " 3.30480000e+00, 1.76400000e-01, 5.29200000e-01, 2.52000000e-02,\n", - " 1.80000000e-02, 4.68000000e-02, 2.73600000e-01, 1.83600000e-01,\n", - " 2.95200000e-01, 1.62000000e-01, 1.26000000e-01, 1.54800000e-01,\n", - " 5.43600000e-01, 1.87200000e-01, 7.56000000e-02, 7.20000000e-01,\n", - " 6.12000000e-02, 2.31120000e+00, 5.58000000e-01, 5.68800000e-01,\n", - " 1.33200000e-01, 2.08800000e-01, 7.92000000e-02, 2.57040000e+00,\n", - " 1.00800000e-01, 4.68000000e-02, 5.36400000e-01, 4.76640000e+00,\n", - " 7.20000000e-02, 1.15200000e-01, 1.44000000e-02, 2.20320000e+00,\n", - " 3.60000000e-02, 4.96800000e-01, 7.20000000e-02, 1.98360000e+00,\n", - " 8.06400000e-01, 3.24000000e-02, 7.20000000e-03, 1.33200000e+00,\n", - " 2.52000000e-02, 2.19600000e-01, 7.34400000e-01, 1.94400000e-01,\n", - " 8.89200000e-01, 2.98800000e-01, 6.33600000e-01, 1.00800000e-01,\n", - " 1.87200000e-01, 3.24000000e-02, 2.73960000e+00, 2.80800000e+00,\n", - " 6.08400000e-01, 1.49400000e+00, 3.06720000e+00, 1.18800000e-01,\n", - " 1.80000000e-02, 6.12000000e-02, 1.26000000e-01, 1.62000000e-01,\n", - " 5.40000000e-02, 2.16000000e-02, 1.18800000e-01, 2.88000000e-01,\n", - " 3.99600000e-01, 1.18800000e-01, 6.48000000e-02, 6.12000000e-02,\n", - " 8.28000000e-02, 1.08000000e-02, 2.66400000e-01, 1.36800000e-01,\n", - " 6.48000000e-02, 3.34800000e-01, 2.88000000e-02, 5.14800000e-01,\n", - " 8.78400000e-01, 3.20400000e-01, 8.35200000e-01, 1.51560000e+00,\n", - " 4.78800000e-01, 2.30400000e+00, 2.52000000e-01, 4.42800000e-01,\n", - " 8.64000000e-01, 3.49200000e-01, 1.65600000e-01, 2.08800000e-01,\n", - " 9.36000000e-02, 1.18800000e-01, 3.60000000e-03, 1.33200000e-01,\n", - " 6.12000000e-02, 3.24000000e-02, 1.47600000e-01, 6.73200000e-01,\n", - " 1.58400000e-01, 1.29600000e-01, 5.40000000e-02, 2.34000000e-01,\n", - " 1.54080000e+00, 6.51600000e-01, 1.76400000e-01, 4.28400000e-01,\n", - " 1.26000000e-01, 3.16800000e+00, 2.23200000e-01, 1.07640000e+00,\n", - " 2.16000000e-01, 2.73600000e-01, 1.11600000e-01, 3.16800000e-01,\n", - " 1.65600000e-01, 1.18800000e-01, 4.03200000e-01, 2.16000000e-02,\n", - " 6.48000000e-02, 1.69200000e-01, 1.26000000e-01, 1.65600000e-01,\n", - " 4.68000000e-02, 2.41200000e-01, 1.44000000e+00, 4.14000000e-01,\n", - " 6.51600000e-01, 3.92400000e-01, 2.26800000e-01, 4.96800000e-01,\n", - " 1.65960000e+00, 1.26360000e+00, 9.36000000e-02, 3.74400000e-01,\n", - " 1.90800000e-01, 2.48400000e-01, 5.61600000e-01, 1.06920000e+00,\n", - " 1.08000000e-02, 1.80000000e-02, 1.27080000e+00, 1.31040000e+00,\n", - " 2.01600000e-01, 2.52000000e-02, 1.40400000e-01, 9.36000000e-02,\n", - " 1.08000000e-02, 2.52000000e-02, 1.08000000e-01, 1.26000000e-01,\n", - " 1.42920000e+00, 6.91200000e-01, 7.56000000e-02, 2.12400000e-01,\n", - " 1.48320000e+00, 8.64000000e-02, 2.69280000e+00, 1.29600000e-01,\n", - " 1.94040000e+00, 1.76400000e-01, 7.66800000e-01, 1.44000000e-02,\n", - " 4.68000000e-02, 1.22400000e-01, 5.04000000e-02, 8.17200000e-01,\n", - " 4.96800000e-01, 3.92400000e-01, 5.76000000e-02, 1.54800000e-01,\n", - " 1.08000000e-02, 6.62400000e-01, 1.83600000e-01, 2.16000000e-02,\n", - " 3.02400000e-01, 1.05480000e+00, 3.74400000e-01, 3.60000000e-03,\n", - " 1.56240000e+00, 1.08000000e-01, 1.10160000e+00, 1.80000000e-02,\n", - " 1.08000000e-02, 1.40400000e-01, 6.55200000e-01, 1.00800000e-01,\n", - " 2.73600000e-01, 6.37200000e-01, 3.24000000e-02, 4.32000000e-02,\n", - " 2.27520000e+00, 1.44000000e-02, 1.44000000e-02, 1.15200000e-01,\n", - " 1.33200000e-01, 1.15200000e-01, 3.96000000e-02, 1.94400000e-01,\n", - " 1.65600000e-01, 2.30400000e-01, 1.72800000e-01, 4.96800000e-01,\n", - " 8.96400000e-01, 6.84000000e-02, 3.60000000e-02, 9.36000000e-02,\n", - " 1.54800000e-01, 1.58400000e-01, 5.18400000e-01, 6.12000000e-02,\n", - " 3.24000000e-02, 1.76400000e-01, 9.18000000e-01, 2.98800000e-01,\n", - " 1.69200000e-01, 6.37920000e+00, 7.20000000e-03, 7.92000000e-02,\n", - " 7.56000000e-02, 2.16000000e-02, 2.52000000e-02, 3.24000000e-02,\n", - " 2.88000000e-02, 2.08800000e-01, 5.04000000e-02, 6.69600000e-01,\n", - " 3.46320000e+00, 1.98000000e-01, 6.84000000e-02, 2.34000000e-01,\n", - " 1.24920000e+00, 9.72000000e-02, 6.12000000e-02, 2.70000000e-01,\n", - " 5.40000000e-02, 3.13200000e-01, 5.32800000e-01, 4.35600000e-01,\n", - " 3.96000000e-02, 2.01600000e-01, 1.40400000e-01, 1.04400000e-01,\n", - " 1.69200000e-01, 9.43200000e-01, 2.01600000e-01, 3.27600000e-01,\n", - " 5.32800000e-01, 6.48000000e-01, 5.04000000e-02, 1.44000000e-01,\n", - " 5.97600000e-01, 5.47200000e-01, 1.95120000e+00, 4.68000000e-02,\n", - " 7.16400000e-01, 8.64000000e-02, 2.12400000e-01, 2.98800000e-01,\n", - " 7.20000000e-02, 2.98800000e-01, 1.08000000e-01, 9.00000000e-02,\n", - " 2.52000000e-01, 2.84400000e-01, 6.48000000e-02, 2.88000000e-02,\n", - " 2.30400000e-01, 4.06800000e-01, 2.55600000e-01, 1.69200000e-01,\n", - " 9.72000000e-02, 1.08000000e-02, 4.10400000e-01, 1.15560000e+00,\n", - " 1.54800000e-01, 7.92000000e-02, 3.60000000e-03, 2.37600000e-01,\n", - " 1.69200000e-01, 5.40000000e-02, 6.48000000e-02, 2.84400000e-01,\n", - " 8.64000000e-02, 1.84320000e+00, 1.69200000e-01, 6.48000000e-02,\n", - " 0.00000000e+00, 3.67200000e-01, 8.64000000e-02, 1.15200000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.51615620e+03, -2.52731782e+03, 9.32251389e+01, 4.13909046e+01,\n", - " 0.00000000e+00, -1.50979014e+01, 1.62198244e+02, 0.00000000e+00,\n", - " 0.00000000e+00, -5.02856882e+01, 2.33842158e+01, 2.15850466e+02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 2.41200000e-01, 1.12680000e+00, 2.19960000e+00, 1.55880000e+00,\n", - " 8.28000000e-02, 1.51200000e-01, 1.00800000e-01, 2.12400000e-01,\n", - " 3.49200000e-01, 5.40000000e-02, 2.12400000e-01, 1.69200000e-01,\n", - " 3.78720000e+00, 1.44000000e-02, 5.04000000e-02, 3.24000000e-02,\n", - " 1.89000000e+00, 1.36080000e+00, 2.05200000e-01, 3.20400000e-01,\n", - " 7.56000000e-02, 3.96000000e-02, 2.16000000e-02, 0.00000000e+00,\n", - " 7.20000000e-02, 2.37600000e-01, 1.80000000e-02, 1.38600000e+00,\n", - " 2.70000000e-01, 1.11240000e+00, 5.90400000e-01, 4.50000000e-01,\n", - " 4.96800000e-01, 2.16000000e-02, 0.00000000e+00, 2.52000000e-02,\n", - " 2.80800000e-01, 1.29600000e-01, 6.48000000e-02, 4.68000000e-02,\n", - " 1.62000000e-01, 1.51200000e-01, 4.06800000e-01, 8.56800000e-01,\n", - " 1.36800000e-01, 1.42200000e+00, 4.50000000e-01, 1.81080000e+00,\n", - " 2.26800000e-01, 6.32880000e+00, 3.96000000e-02, 5.04000000e-02,\n", - " 1.65600000e-01, 1.18800000e-01, 2.66400000e-01, 6.48000000e-02,\n", - " 2.37600000e-01, 1.89360000e+00, 3.28680000e+00, 8.82000000e-01,\n", - " 6.15600000e-01, 5.40000000e-01, 2.16000000e-01, 9.21600000e-01,\n", - " 1.11600000e-01, 9.00000000e-02, 8.78400000e-01, 7.48800000e-01,\n", - " 3.60000000e-02, 0.00000000e+00, 1.65600000e-01, 1.69200000e-01,\n", - " 1.44000000e-02, 3.96000000e-02, 3.02400000e-01, 6.19200000e-01,\n", - " 3.67200000e-01, 1.18800000e-01, 1.22400000e-01, 9.07200000e-01,\n", - " 2.10960000e+00, 1.87560000e+00, 4.10400000e-01, 6.62400000e-01,\n", - " 7.74000000e-01, 8.64000000e-01, 9.72000000e-02, 2.01600000e-01,\n", - " 3.60000000e-02, 4.32000000e-02, 6.48000000e-02, 0.00000000e+00,\n", - " 1.80000000e-02, 5.04000000e-02, 7.30800000e-01, 1.90800000e-01,\n", - " 2.16000000e-02, 0.00000000e+00, 5.40000000e-02, 5.86800000e-01,\n", - " 4.68000000e-01, 1.67040000e+00, 2.18880000e+00, 4.06800000e-01,\n", - " 6.48000000e-02, 3.24000000e-02, 1.69200000e-01, 3.24000000e-02,\n", - " 9.68400000e-01, 7.52400000e-01, 2.30400000e-01, 1.87200000e-01,\n", - " 1.96200000e+00, 3.96000000e-01, 0.00000000e+00, 9.46800000e-01,\n", - " 6.22800000e-01, 3.07440000e+00, 4.96800000e-01, 1.47240000e+00,\n", - " 3.06000000e-01, 4.17600000e-01, 1.14120000e+00, 1.91520000e+00,\n", - " 1.71360000e+00, 3.43080000e+00, 5.11200000e-01, 2.19600000e-01,\n", - " 1.45800000e+00, 1.80720000e+00, 6.15600000e-01, 3.38400000e-01,\n", - " 7.20000000e-02, 2.88000000e-01, 5.36400000e-01, 3.74400000e-01,\n", - " 3.16800000e-01, 9.36000000e-01, 2.66400000e-01, 9.00000000e-02,\n", - " 1.78920000e+00, 1.52280000e+00, 1.33560000e+00, 1.39680000e+00,\n", - " 2.12400000e-01, 2.41200000e-01, 4.68000000e-02, 1.26000000e-01,\n", - " 2.59200000e-01, 4.96800000e-01, 0.00000000e+00, 0.00000000e+00,\n", - " 3.57480000e+00, 5.19840000e+00, 1.12860000e+01, 2.95200000e-01,\n", - " 3.24000000e-01, 1.76400000e-01, 3.96000000e-02, 4.32000000e-02,\n", - " 1.08000000e-01, 9.36000000e-02, 5.79600000e-01, 5.29200000e-01,\n", - " 4.96800000e-01, 1.44000000e-01, 3.72960000e+00, 6.82920000e+00,\n", - " 1.04400000e-01, 9.00000000e-02, 2.41200000e-01, 9.72000000e-02,\n", - " 1.08000000e-01, 2.55600000e-01, 4.82400000e-01, 1.72800000e-01,\n", - " 2.44800000e-01, 2.52000000e-01, 3.24000000e-02, 6.15600000e-01,\n", - " 7.92000000e-02, 1.90800000e-01, 2.26800000e-01, 5.86800000e-01,\n", - " 4.57200000e-01, 3.96000000e-02, 6.80400000e-01, 2.05200000e-01,\n", - " 1.47600000e-01, 1.62000000e-01, 3.81600000e-01, 1.94400000e-01,\n", - " 4.21200000e-01, 2.16000000e-02, 1.98000000e-01, 1.22400000e-01,\n", - " 1.72800000e-01, 6.12000000e-02, 7.05240000e+00, 1.80000000e-01,\n", - " 1.58400000e-01, 7.20000000e+00, 2.59200000e-01, 4.68000000e-02,\n", - " 0.00000000e+00, 4.68000000e-02, 2.16000000e-02, 1.80000000e-01,\n", - " 2.48400000e-01, 5.04000000e-02, 1.90800000e-01, 2.37600000e+00,\n", - " 1.51560000e+00, 1.83240000e+00, 6.39360000e+00, 5.55120000e+00,\n", - " 1.51200000e-01, 8.64000000e-02, 1.45440000e+00, 9.36000000e-01,\n", - " 3.16440000e+00, 2.24640000e+00, 3.24000000e-02, 7.92000000e-01,\n", - " 2.26800000e-01, 3.21480000e+00, 1.80000000e-02, 2.52000000e-02,\n", - " 3.96000000e-02, 1.80000000e-02, 1.13400000e+00, 8.96400000e-01,\n", - " 9.00000000e-01, 2.82600000e+00, 1.47600000e-01, 3.60000000e-02,\n", - " 1.40760000e+00, 4.68000000e-02, 1.47600000e-01, 2.27160000e+00,\n", - " 1.54800000e-01, 1.44000000e-01, 1.36800000e-01, 1.58400000e-01,\n", - " 8.28000000e-02, 1.83960000e+00, 1.04400000e+00, 3.24000000e-01,\n", - " 4.93200000e-01, 1.72800000e-01, 3.24000000e-02, 9.21600000e-01,\n", - " 5.76000000e-01, 1.31400000e+00, 1.29600000e-01, 2.30400000e-01,\n", - " 8.28000000e-02, 1.33200000e-01, 2.70000000e-01, 1.03320000e+00,\n", - " 2.91600000e-01, 1.06200000e+00, 4.06800000e-01, 1.51200000e-01,\n", - " 3.16800000e-01, 5.43600000e-01, 9.07200000e-01, 2.47680000e+00,\n", - " 2.77200000e-01, 1.31400000e+00, 1.22400000e-01, 1.18800000e-01,\n", - " 3.24000000e-01, 6.58800000e-01, 2.52000000e-01, 7.48800000e-01,\n", - " 5.04000000e-02, 1.69200000e-01, 9.36000000e-01, 4.89600000e-01,\n", - " 6.12000000e-02, 1.11600000e-01, 3.92400000e-01, 2.26800000e-01,\n", - " 4.28400000e-01, 2.88000000e-01, 3.96000000e-02, 1.26000000e-01,\n", - " 2.88000000e-02, 3.60000000e-03, 1.46160000e+00, 1.95480000e+00,\n", - " 9.36000000e-02, 6.84000000e-02, 4.32360000e+00, 1.95120000e+00,\n", - " 3.70800000e-01, 1.46160000e+00, 2.26800000e-01, 7.63200000e-01,\n", - " 1.00800000e-01, 9.00000000e-02, 1.01880000e+00, 1.22400000e-01,\n", - " 4.68000000e-02, 7.09200000e-01, 3.99600000e-01, 1.87200000e-01,\n", - " 1.64880000e+00, 5.76000000e-02, 1.33200000e-01, 6.84000000e-02,\n", - " 9.72000000e-02, 3.60000000e-02, 2.25000000e+00, 1.17360000e+00,\n", - " 1.33200000e-01, 6.12000000e-02, 9.57600000e-01, 1.00800000e-01,\n", - " 4.78800000e-01, 3.60000000e-03, 4.42800000e-01, 5.68800000e-01,\n", - " 1.62000000e-01, 5.36400000e-01, 9.00000000e-02, 2.86200000e+00,\n", - " 1.22400000e-01, 1.18800000e-01, 1.11600000e-01, 4.11840000e+00,\n", - " 1.26000000e-01, 2.98800000e-01, 3.24000000e-02, 1.80000000e-02,\n", - " 9.97200000e-01, 3.56400000e-01, 2.88000000e-02, 0.00000000e+00,\n", - " 1.26720000e+00, 6.55200000e-01, 1.88640000e+00, 8.20800000e-01,\n", - " 2.16000000e-02, 1.44000000e-02, 1.08000000e-01, 4.89600000e-01,\n", - " 5.79600000e-01, 9.00000000e-02, 0.00000000e+00, 3.24000000e-02,\n", - " 3.38400000e-01, 6.48000000e-02, 1.15200000e-01, 1.90800000e-01,\n", - " 1.26360000e+00, 8.28000000e-01, 2.52000000e-02, 8.64000000e-02,\n", - " 4.68000000e-02, 3.60000000e-02, 3.60000000e-02, 1.08000000e-01,\n", - " 1.08000000e-01, 1.38600000e+00, 1.32120000e+00, 1.00800000e-01,\n", - " 1.40400000e-01, 5.40000000e-02, 3.96000000e-02, 1.18800000e-01,\n", - " 3.60000000e-02, 3.60000000e-02, 2.44800000e-01, 1.87200000e-01,\n", - " 2.55600000e-01, 3.20400000e-01, 2.73240000e+00, 5.61600000e-01,\n", - " 4.96800000e-01, 5.18400000e-01, 9.68400000e-01, 7.20000000e-02,\n", - " 4.68000000e-01, 1.33560000e+00, 9.36000000e-02, 3.80160000e+00,\n", - " 2.84760000e+00, 1.74600000e+00, 1.94400000e-01, 5.40000000e-02,\n", - " 3.18600000e+00, 8.06400000e-01, 1.34280000e+00, 2.95200000e-01,\n", - " 6.84000000e-02, 1.10160000e+00, 8.85600000e-01, 3.60000000e-02,\n", - " 1.44000000e-02, 1.08000000e-02, 3.24000000e-01, 1.44000000e-02,\n", - " 1.50120000e+00, 3.21840000e+00, 1.44000000e-01, 2.95200000e-01,\n", - " 6.62400000e-01, 1.80000000e-02, 8.28000000e-02, 9.72000000e-01,\n", - " 1.04400000e-01, 1.72800000e-01, 3.70800000e-01, 2.01960000e+00,\n", - " 1.11240000e+00, 2.30400000e-01, 3.63600000e-01, 4.82400000e-01,\n", - " 5.40000000e-02, 2.44800000e-01, 3.09600000e-01, 1.29600000e-01,\n", - " 1.80000000e-02, 1.94400000e-01, 9.36000000e-02, 9.00000000e-02,\n", - " 2.05200000e-01, 2.55600000e-01, 3.78000000e-01, 1.00800000e-01,\n", - " 1.08000000e-02, 1.36800000e-01, 1.73880000e+00, 9.72000000e-02,\n", - " 8.49600000e-01, 8.64000000e-02, 3.09600000e-01, 1.76400000e+00,\n", - " 2.76840000e+00, 6.19200000e-01, 1.18080000e+00, 1.36800000e-01,\n", - " 1.26000000e-01, 9.00000000e-02, 6.58800000e-01, 1.08000000e-01,\n", - " 1.15200000e-01, 6.48000000e-02, 1.80000000e-01, 1.72800000e-01,\n", - " 1.83600000e+00, 5.29200000e-01, 2.08800000e-01, 3.60000000e-03,\n", - " 1.76400000e-01, 6.66000000e-01, 7.66800000e-01, 7.20000000e-01,\n", - " 6.84000000e-02, 2.66400000e-01, 5.04000000e-01, 9.00000000e-02,\n", - " 2.26800000e-01, 1.36800000e-01, 6.12000000e-02, 1.00800000e-01,\n", - " 2.19600000e-01, 1.69200000e-01, 1.47600000e-01, 2.88000000e-02,\n", - " 1.08360000e+00, 1.37880000e+00, 5.40000000e-02, 5.76000000e-02,\n", - " 1.26000000e-01, 4.02480000e+00, 2.17800000e+00, 4.68000000e-02,\n", - " 1.53720000e+00, 7.99200000e-01, 3.60000000e-03, 1.54800000e-01,\n", - " 8.64000000e-02, 7.34400000e-01, 1.08000000e+00, 1.48320000e+00,\n", - " 1.00800000e-01, 2.88360000e+00, 4.93200000e-01, 2.08800000e+00,\n", - " 2.70000000e-01, 3.78000000e-01, 1.60920000e+00, 1.21680000e+00,\n", - " 5.00400000e-01, 5.72400000e-01, 0.00000000e+00, 3.60000000e-01,\n", - " 3.20400000e-01, 4.32000000e-02, 2.16000000e-02, 3.96000000e-02,\n", - " 6.12000000e-02, 1.15200000e-01, 2.37600000e-01, 1.62000000e-01,\n", - " 1.36800000e-01, 6.44400000e-01, 7.02000000e-01, 1.44000000e-02,\n", - " 1.40400000e-01, 1.94400000e-01, 8.64000000e-02, 1.33200000e-01,\n", - " 7.20000000e-02, 2.34000000e-01, 6.01200000e-01, 8.64000000e-02,\n", - " 6.84000000e-02, 3.94560000e+00, 1.54800000e-01, 1.33200000e-01,\n", - " 1.15200000e-01, 7.38000000e-01, 1.69200000e-01, 6.12000000e-02,\n", - " 5.18400000e-01, 1.36800000e-01, 9.54000000e-01, 2.52000000e-01,\n", - " 2.15640000e+00, 1.55880000e+00, 1.47600000e+00, 1.33200000e-01,\n", - " 1.44000000e-02, 1.69200000e-01, 3.96000000e-02, 9.72000000e-02,\n", - " 2.00160000e+00, 1.04400000e-01, 1.08000000e-02, 5.76000000e-02,\n", - " 1.33920000e+00, 3.38400000e-01, 7.92000000e-02, 2.73600000e-01,\n", - " 1.32480000e+00, 2.40480000e+00, 4.40640000e+00, 5.11200000e-01,\n", - " 2.31840000e+00, 3.11400000e+00, 2.70000000e-01, 1.40400000e-01,\n", - " 3.78000000e-01, 5.28480000e+00, 2.82240000e+00, 1.44000000e-02,\n", - " 1.62000000e-01, 2.37600000e-01, 1.00800000e-01, 4.60800000e-01,\n", - " 2.08800000e-01, 3.60000000e-01, 3.99600000e-01, 2.12760000e+00,\n", - " 5.00400000e-01, 2.88000000e-02, 6.04800000e-01, 9.54000000e-01,\n", - " 5.72400000e-01, 5.00400000e-01, 3.24000000e-02, 2.77200000e-01,\n", - " 1.69200000e-01, 6.12000000e-02, 3.24000000e-02, 2.66040000e+00,\n", - " 1.94400000e-01, 7.56000000e-02, 2.52000000e-01, 4.82400000e-01,\n", - " 2.84760000e+00, 1.59120000e+00, 2.48400000e-01, 3.45600000e-01,\n", - " 1.39680000e+00, 1.98000000e-01, 3.38400000e-01, 1.08000000e+00,\n", - " 9.14400000e-01, 1.33200000e-01, 1.65960000e+00, 1.51200000e-01,\n", - " 3.30480000e+00, 1.76400000e-01, 5.29200000e-01, 2.52000000e-02,\n", - " 1.80000000e-02, 4.68000000e-02, 2.73600000e-01, 1.83600000e-01,\n", - " 2.95200000e-01, 1.62000000e-01, 1.26000000e-01, 1.54800000e-01,\n", - " 5.43600000e-01, 1.87200000e-01, 7.56000000e-02, 7.20000000e-01,\n", - " 6.12000000e-02, 2.31120000e+00, 5.58000000e-01, 5.68800000e-01,\n", - " 1.33200000e-01, 2.08800000e-01, 7.92000000e-02, 2.57040000e+00,\n", - " 1.00800000e-01, 4.68000000e-02, 5.36400000e-01, 4.76640000e+00,\n", - " 7.20000000e-02, 1.15200000e-01, 1.44000000e-02, 2.20320000e+00,\n", - " 3.60000000e-02, 4.96800000e-01, 7.20000000e-02, 1.98360000e+00,\n", - " 8.06400000e-01, 3.24000000e-02, 7.20000000e-03, 1.33200000e+00,\n", - " 2.52000000e-02, 2.19600000e-01, 7.34400000e-01, 1.94400000e-01,\n", - " 8.89200000e-01, 2.98800000e-01, 6.33600000e-01, 1.00800000e-01,\n", - " 1.87200000e-01, 3.24000000e-02, 2.73960000e+00, 2.80800000e+00,\n", - " 6.08400000e-01, 1.49400000e+00, 3.06720000e+00, 1.18800000e-01,\n", - " 1.80000000e-02, 6.12000000e-02, 1.26000000e-01, 1.62000000e-01,\n", - " 5.40000000e-02, 2.16000000e-02, 1.18800000e-01, 2.88000000e-01,\n", - " 3.99600000e-01, 1.18800000e-01, 6.48000000e-02, 6.12000000e-02,\n", - " 8.28000000e-02, 1.08000000e-02, 2.66400000e-01, 1.36800000e-01,\n", - " 6.48000000e-02, 3.34800000e-01, 2.88000000e-02, 5.14800000e-01,\n", - " 8.78400000e-01, 3.20400000e-01, 8.35200000e-01, 1.51560000e+00,\n", - " 4.78800000e-01, 2.30400000e+00, 2.52000000e-01, 4.42800000e-01,\n", - " 8.64000000e-01, 3.49200000e-01, 1.65600000e-01, 2.08800000e-01,\n", - " 9.36000000e-02, 1.18800000e-01, 3.60000000e-03, 1.33200000e-01,\n", - " 6.12000000e-02, 3.24000000e-02, 1.47600000e-01, 6.73200000e-01,\n", - " 1.58400000e-01, 1.29600000e-01, 5.40000000e-02, 2.34000000e-01,\n", - " 1.54080000e+00, 6.51600000e-01, 1.76400000e-01, 4.28400000e-01,\n", - " 1.26000000e-01, 3.16800000e+00, 2.23200000e-01, 1.07640000e+00,\n", - " 2.16000000e-01, 2.73600000e-01, 1.11600000e-01, 3.16800000e-01,\n", - " 1.65600000e-01, 1.18800000e-01, 4.03200000e-01, 2.16000000e-02,\n", - " 6.48000000e-02, 1.69200000e-01, 1.26000000e-01, 1.65600000e-01,\n", - " 4.68000000e-02, 2.41200000e-01, 1.44000000e+00, 4.14000000e-01,\n", - " 6.51600000e-01, 3.92400000e-01, 2.26800000e-01, 4.96800000e-01,\n", - " 1.65960000e+00, 1.26360000e+00, 9.36000000e-02, 3.74400000e-01,\n", - " 1.90800000e-01, 2.48400000e-01, 5.61600000e-01, 1.06920000e+00,\n", - " 1.08000000e-02, 1.80000000e-02, 1.27080000e+00, 1.31040000e+00,\n", - " 2.01600000e-01, 2.52000000e-02, 1.40400000e-01, 9.36000000e-02,\n", - " 1.08000000e-02, 2.52000000e-02, 1.08000000e-01, 1.26000000e-01,\n", - " 1.42920000e+00, 6.91200000e-01, 7.56000000e-02, 2.12400000e-01,\n", - " 1.48320000e+00, 8.64000000e-02, 2.69280000e+00, 1.29600000e-01,\n", - " 1.94040000e+00, 1.76400000e-01, 7.66800000e-01, 1.44000000e-02,\n", - " 4.68000000e-02, 1.22400000e-01, 5.04000000e-02, 8.17200000e-01,\n", - " 4.96800000e-01, 3.92400000e-01, 5.76000000e-02, 1.54800000e-01,\n", - " 1.08000000e-02, 6.62400000e-01, 1.83600000e-01, 2.16000000e-02,\n", - " 3.02400000e-01, 1.05480000e+00, 3.74400000e-01, 3.60000000e-03,\n", - " 1.56240000e+00, 1.08000000e-01, 1.10160000e+00, 1.80000000e-02,\n", - " 1.08000000e-02, 1.40400000e-01, 6.55200000e-01, 1.00800000e-01,\n", - " 2.73600000e-01, 6.37200000e-01, 3.24000000e-02, 4.32000000e-02,\n", - " 2.27520000e+00, 1.44000000e-02, 1.44000000e-02, 1.15200000e-01,\n", - " 1.33200000e-01, 1.15200000e-01, 3.96000000e-02, 1.94400000e-01,\n", - " 1.65600000e-01, 2.30400000e-01, 1.72800000e-01, 4.96800000e-01,\n", - " 8.96400000e-01, 6.84000000e-02, 3.60000000e-02, 9.36000000e-02,\n", - " 1.54800000e-01, 1.58400000e-01, 5.18400000e-01, 6.12000000e-02,\n", - " 3.24000000e-02, 1.76400000e-01, 9.18000000e-01, 2.98800000e-01,\n", - " 1.69200000e-01, 6.37920000e+00, 7.20000000e-03, 7.92000000e-02,\n", - " 7.56000000e-02, 2.16000000e-02, 2.52000000e-02, 3.24000000e-02,\n", - " 2.88000000e-02, 2.08800000e-01, 5.04000000e-02, 6.69600000e-01,\n", - " 3.46320000e+00, 1.98000000e-01, 6.84000000e-02, 2.34000000e-01,\n", - " 1.24920000e+00, 9.72000000e-02, 6.12000000e-02, 2.70000000e-01,\n", - " 5.40000000e-02, 3.13200000e-01, 5.32800000e-01, 4.35600000e-01,\n", - " 3.96000000e-02, 2.01600000e-01, 1.40400000e-01, 1.04400000e-01,\n", - " 1.69200000e-01, 9.43200000e-01, 2.01600000e-01, 3.27600000e-01,\n", - " 5.32800000e-01, 6.48000000e-01, 5.04000000e-02, 1.44000000e-01,\n", - " 5.97600000e-01, 5.47200000e-01, 1.95120000e+00, 4.68000000e-02,\n", - " 7.16400000e-01, 8.64000000e-02, 2.12400000e-01, 2.98800000e-01,\n", - " 7.20000000e-02, 2.98800000e-01, 1.08000000e-01, 9.00000000e-02,\n", - " 2.52000000e-01, 2.84400000e-01, 6.48000000e-02, 2.88000000e-02,\n", - " 2.30400000e-01, 4.06800000e-01, 2.55600000e-01, 1.69200000e-01,\n", - " 9.72000000e-02, 1.08000000e-02, 4.10400000e-01, 1.15560000e+00,\n", - " 1.54800000e-01, 7.92000000e-02, 3.60000000e-03, 2.37600000e-01,\n", - " 1.69200000e-01, 5.40000000e-02, 6.48000000e-02, 2.84400000e-01,\n", - " 8.64000000e-02, 1.84320000e+00, 1.69200000e-01, 6.48000000e-02,\n", - " 0.00000000e+00, 3.67200000e-01, 8.64000000e-02, 1.15200000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.51611438e+03, -2.52731782e+03, 9.30660756e+01, 4.10805028e+01,\n", - " 0.00000000e+00, 0.00000000e+00, 1.61432434e+02, 0.00000000e+00,\n", - " 0.00000000e+00, -5.02856920e+01, 2.31824017e+01, 2.02230670e+02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 3.54430000e-01, 1.65577000e+00, 3.23219000e+00, 2.29057000e+00,\n", - " 1.21670000e-01, 2.22180000e-01, 1.48120000e-01, 3.12110000e-01,\n", - " 5.13130000e-01, 7.93500000e-02, 3.12110000e-01, 2.48630000e-01,\n", - " 5.56508000e+00, 2.11600000e-02, 7.40600000e-02, 4.76100000e-02,\n", - " 2.77725000e+00, 1.99962000e+00, 3.01530000e-01, 4.70810000e-01,\n", - " 1.11090000e-01, 5.81900000e-02, 3.17400000e-02, 0.00000000e+00,\n", - " 1.05800000e-01, 3.49140000e-01, 2.64500000e-02, 2.03665000e+00,\n", - " 3.96750000e-01, 1.63461000e+00, 8.67560000e-01, 6.61250000e-01,\n", - " 7.30020000e-01, 3.17400000e-02, 0.00000000e+00, 3.70300000e-02,\n", - " 4.12620000e-01, 1.90440000e-01, 9.52200000e-02, 6.87700000e-02,\n", - " 2.38050000e-01, 2.22180000e-01, 5.97770000e-01, 1.25902000e+00,\n", - " 2.01020000e-01, 2.08955000e+00, 6.61250000e-01, 2.66087000e+00,\n", - " 3.33270000e-01, 9.29982000e+00, 5.81900000e-02, 7.40600000e-02,\n", - " 2.43340000e-01, 1.74570000e-01, 3.91460000e-01, 9.52200000e-02,\n", - " 3.49140000e-01, 2.78254000e+00, 4.82977000e+00, 1.29605000e+00,\n", - " 9.04590000e-01, 7.93500000e-01, 3.17400000e-01, 1.35424000e+00,\n", - " 1.63990000e-01, 1.32250000e-01, 1.29076000e+00, 1.10032000e+00,\n", - " 5.29000000e-02, 0.00000000e+00, 2.43340000e-01, 2.48630000e-01,\n", - " 2.11600000e-02, 5.81900000e-02, 4.44360000e-01, 9.09880000e-01,\n", - " 5.39580000e-01, 1.74570000e-01, 1.79860000e-01, 1.33308000e+00,\n", - " 3.09994000e+00, 2.75609000e+00, 6.03060000e-01, 9.73360000e-01,\n", - " 1.13735000e+00, 1.26960000e+00, 1.42830000e-01, 2.96240000e-01,\n", - " 5.29000000e-02, 6.34800000e-02, 9.52200000e-02, 0.00000000e+00,\n", - " 2.64500000e-02, 7.40600000e-02, 1.07387000e+00, 2.80370000e-01,\n", - " 3.17400000e-02, 0.00000000e+00, 7.93500000e-02, 8.62270000e-01,\n", - " 6.87700000e-01, 2.45456000e+00, 3.21632000e+00, 5.97770000e-01,\n", - " 9.52200000e-02, 4.76100000e-02, 2.48630000e-01, 4.76100000e-02,\n", - " 1.42301000e+00, 1.10561000e+00, 3.38560000e-01, 2.75080000e-01,\n", - " 2.88305000e+00, 5.81900000e-01, 0.00000000e+00, 1.39127000e+00,\n", - " 9.15170000e-01, 4.51766000e+00, 7.30020000e-01, 2.16361000e+00,\n", - " 4.49650000e-01, 6.13640000e-01, 1.67693000e+00, 2.81428000e+00,\n", - " 2.51804000e+00, 5.04137000e+00, 7.51180000e-01, 3.22690000e-01,\n", - " 2.14245000e+00, 2.65558000e+00, 9.04590000e-01, 4.97260000e-01,\n", - " 1.05800000e-01, 4.23200000e-01, 7.88210000e-01, 5.50160000e-01,\n", - " 4.65520000e-01, 1.37540000e+00, 3.91460000e-01, 1.32250000e-01,\n", - " 2.62913000e+00, 2.23767000e+00, 1.96259000e+00, 2.05252000e+00,\n", - " 3.12110000e-01, 3.54430000e-01, 6.87700000e-02, 1.85150000e-01,\n", - " 3.80880000e-01, 7.30020000e-01, 0.00000000e+00, 0.00000000e+00,\n", - " 5.25297000e+00, 7.63876000e+00, 1.65841500e+01, 4.33780000e-01,\n", - " 4.76100000e-01, 2.59210000e-01, 5.81900000e-02, 6.34800000e-02,\n", - " 1.58700000e-01, 1.37540000e-01, 8.51690000e-01, 7.77630000e-01,\n", - " 7.30020000e-01, 2.11600000e-01, 5.48044000e+00, 1.00351300e+01,\n", - " 1.53410000e-01, 1.32250000e-01, 3.54430000e-01, 1.42830000e-01,\n", - " 1.58700000e-01, 3.75590000e-01, 7.08860000e-01, 2.53920000e-01,\n", - " 3.59720000e-01, 3.70300000e-01, 4.76100000e-02, 9.04590000e-01,\n", - " 1.16380000e-01, 2.80370000e-01, 3.33270000e-01, 8.62270000e-01,\n", - " 6.71830000e-01, 5.81900000e-02, 9.99810000e-01, 3.01530000e-01,\n", - " 2.16890000e-01, 2.38050000e-01, 5.60740000e-01, 2.85660000e-01,\n", - " 6.18930000e-01, 3.17400000e-02, 2.90950000e-01, 1.79860000e-01,\n", - " 2.53920000e-01, 8.99300000e-02, 1.03631100e+01, 2.64500000e-01,\n", - " 2.32760000e-01, 1.05800000e+01, 3.80880000e-01, 6.87700000e-02,\n", - " 0.00000000e+00, 6.87700000e-02, 3.17400000e-02, 2.64500000e-01,\n", - " 3.65010000e-01, 7.40600000e-02, 2.80370000e-01, 3.49140000e+00,\n", - " 2.22709000e+00, 2.69261000e+00, 9.39504000e+00, 8.15718000e+00,\n", - " 2.22180000e-01, 1.26960000e-01, 2.13716000e+00, 1.37540000e+00,\n", - " 4.64991000e+00, 3.30096000e+00, 4.76100000e-02, 1.16380000e+00,\n", - " 3.33270000e-01, 4.72397000e+00, 2.64500000e-02, 3.70300000e-02,\n", - " 5.81900000e-02, 2.64500000e-02, 1.66635000e+00, 1.31721000e+00,\n", - " 1.32250000e+00, 4.15265000e+00, 2.16890000e-01, 5.29000000e-02,\n", - " 2.06839000e+00, 6.87700000e-02, 2.16890000e-01, 3.33799000e+00,\n", - " 2.27470000e-01, 2.11600000e-01, 2.01020000e-01, 2.32760000e-01,\n", - " 1.21670000e-01, 2.70319000e+00, 1.53410000e+00, 4.76100000e-01,\n", - " 7.24730000e-01, 2.53920000e-01, 4.76100000e-02, 1.35424000e+00,\n", - " 8.46400000e-01, 1.93085000e+00, 1.90440000e-01, 3.38560000e-01,\n", - " 1.21670000e-01, 1.95730000e-01, 3.96750000e-01, 1.51823000e+00,\n", - " 4.28490000e-01, 1.56055000e+00, 5.97770000e-01, 2.22180000e-01,\n", - " 4.65520000e-01, 7.98790000e-01, 1.33308000e+00, 3.63952000e+00,\n", - " 4.07330000e-01, 1.93085000e+00, 1.79860000e-01, 1.74570000e-01,\n", - " 4.76100000e-01, 9.68070000e-01, 3.70300000e-01, 1.10032000e+00,\n", - " 7.40600000e-02, 2.48630000e-01, 1.37540000e+00, 7.19440000e-01,\n", - " 8.99300000e-02, 1.63990000e-01, 5.76610000e-01, 3.33270000e-01,\n", - " 6.29510000e-01, 4.23200000e-01, 5.81900000e-02, 1.85150000e-01,\n", - " 4.23200000e-02, 5.29000000e-03, 2.14774000e+00, 2.87247000e+00,\n", - " 1.37540000e-01, 1.00510000e-01, 6.35329000e+00, 2.86718000e+00,\n", - " 5.44870000e-01, 2.14774000e+00, 3.33270000e-01, 1.12148000e+00,\n", - " 1.48120000e-01, 1.32250000e-01, 1.49707000e+00, 1.79860000e-01,\n", - " 6.87700000e-02, 1.04213000e+00, 5.87190000e-01, 2.75080000e-01,\n", - " 2.42282000e+00, 8.46400000e-02, 1.95730000e-01, 1.00510000e-01,\n", - " 1.42830000e-01, 5.29000000e-02, 3.30625000e+00, 1.72454000e+00,\n", - " 1.95730000e-01, 8.99300000e-02, 1.40714000e+00, 1.48120000e-01,\n", - " 7.03570000e-01, 5.29000000e-03, 6.50670000e-01, 8.35820000e-01,\n", - " 2.38050000e-01, 7.88210000e-01, 1.32250000e-01, 4.20555000e+00,\n", - " 1.79860000e-01, 1.74570000e-01, 1.63990000e-01, 6.05176000e+00,\n", - " 1.85150000e-01, 4.39070000e-01, 4.76100000e-02, 2.64500000e-02,\n", - " 1.46533000e+00, 5.23710000e-01, 4.23200000e-02, 0.00000000e+00,\n", - " 1.86208000e+00, 9.62780000e-01, 2.77196000e+00, 1.20612000e+00,\n", - " 3.17400000e-02, 2.11600000e-02, 1.58700000e-01, 7.19440000e-01,\n", - " 8.51690000e-01, 1.32250000e-01, 0.00000000e+00, 4.76100000e-02,\n", - " 4.97260000e-01, 9.52200000e-02, 1.69280000e-01, 2.80370000e-01,\n", - " 1.85679000e+00, 1.21670000e+00, 3.70300000e-02, 1.26960000e-01,\n", - " 6.87700000e-02, 5.29000000e-02, 5.29000000e-02, 1.58700000e-01,\n", - " 1.58700000e-01, 2.03665000e+00, 1.94143000e+00, 1.48120000e-01,\n", - " 2.06310000e-01, 7.93500000e-02, 5.81900000e-02, 1.74570000e-01,\n", - " 5.29000000e-02, 5.29000000e-02, 3.59720000e-01, 2.75080000e-01,\n", - " 3.75590000e-01, 4.70810000e-01, 4.01511000e+00, 8.25240000e-01,\n", - " 7.30020000e-01, 7.61760000e-01, 1.42301000e+00, 1.05800000e-01,\n", - " 6.87700000e-01, 1.96259000e+00, 1.37540000e-01, 5.58624000e+00,\n", - " 4.18439000e+00, 2.56565000e+00, 2.85660000e-01, 7.93500000e-02,\n", - " 4.68165000e+00, 1.18496000e+00, 1.97317000e+00, 4.33780000e-01,\n", - " 1.00510000e-01, 1.61874000e+00, 1.30134000e+00, 5.29000000e-02,\n", - " 2.11600000e-02, 1.58700000e-02, 4.76100000e-01, 2.11600000e-02,\n", - " 2.20593000e+00, 4.72926000e+00, 2.11600000e-01, 4.33780000e-01,\n", - " 9.73360000e-01, 2.64500000e-02, 1.21670000e-01, 1.42830000e+00,\n", - " 1.53410000e-01, 2.53920000e-01, 5.44870000e-01, 2.96769000e+00,\n", - " 1.63461000e+00, 3.38560000e-01, 5.34290000e-01, 7.08860000e-01,\n", - " 7.93500000e-02, 3.59720000e-01, 4.54940000e-01, 1.90440000e-01,\n", - " 2.64500000e-02, 2.85660000e-01, 1.37540000e-01, 1.32250000e-01,\n", - " 3.01530000e-01, 3.75590000e-01, 5.55450000e-01, 1.48120000e-01,\n", - " 1.58700000e-02, 2.01020000e-01, 2.55507000e+00, 1.42830000e-01,\n", - " 1.24844000e+00, 1.26960000e-01, 4.54940000e-01, 2.59210000e+00,\n", - " 4.06801000e+00, 9.09880000e-01, 1.73512000e+00, 2.01020000e-01,\n", - " 1.85150000e-01, 1.32250000e-01, 9.68070000e-01, 1.58700000e-01,\n", - " 1.69280000e-01, 9.52200000e-02, 2.64500000e-01, 2.53920000e-01,\n", - " 2.69790000e+00, 7.77630000e-01, 3.06820000e-01, 5.29000000e-03,\n", - " 2.59210000e-01, 9.78650000e-01, 1.12677000e+00, 1.05800000e+00,\n", - " 1.00510000e-01, 3.91460000e-01, 7.40600000e-01, 1.32250000e-01,\n", - " 3.33270000e-01, 2.01020000e-01, 8.99300000e-02, 1.48120000e-01,\n", - " 3.22690000e-01, 2.48630000e-01, 2.16890000e-01, 4.23200000e-02,\n", - " 1.59229000e+00, 2.02607000e+00, 7.93500000e-02, 8.46400000e-02,\n", - " 1.85150000e-01, 5.91422000e+00, 3.20045000e+00, 6.87700000e-02,\n", - " 2.25883000e+00, 1.17438000e+00, 5.29000000e-03, 2.27470000e-01,\n", - " 1.26960000e-01, 1.07916000e+00, 1.58700000e+00, 2.17948000e+00,\n", - " 1.48120000e-01, 4.23729000e+00, 7.24730000e-01, 3.06820000e+00,\n", - " 3.96750000e-01, 5.55450000e-01, 2.36463000e+00, 1.78802000e+00,\n", - " 7.35310000e-01, 8.41110000e-01, 0.00000000e+00, 5.29000000e-01,\n", - " 4.70810000e-01, 6.34800000e-02, 3.17400000e-02, 5.81900000e-02,\n", - " 8.99300000e-02, 1.69280000e-01, 3.49140000e-01, 2.38050000e-01,\n", - " 2.01020000e-01, 9.46910000e-01, 1.03155000e+00, 2.11600000e-02,\n", - " 2.06310000e-01, 2.85660000e-01, 1.26960000e-01, 1.95730000e-01,\n", - " 1.05800000e-01, 3.43850000e-01, 8.83430000e-01, 1.26960000e-01,\n", - " 1.00510000e-01, 5.79784000e+00, 2.27470000e-01, 1.95730000e-01,\n", - " 1.69280000e-01, 1.08445000e+00, 2.48630000e-01, 8.99300000e-02,\n", - " 7.61760000e-01, 2.01020000e-01, 1.40185000e+00, 3.70300000e-01,\n", - " 3.16871000e+00, 2.29057000e+00, 2.16890000e+00, 1.95730000e-01,\n", - " 2.11600000e-02, 2.48630000e-01, 5.81900000e-02, 1.42830000e-01,\n", - " 2.94124000e+00, 1.53410000e-01, 1.58700000e-02, 8.46400000e-02,\n", - " 1.96788000e+00, 4.97260000e-01, 1.16380000e-01, 4.02040000e-01,\n", - " 1.94672000e+00, 3.53372000e+00, 6.47496000e+00, 7.51180000e-01,\n", - " 3.40676000e+00, 4.57585000e+00, 3.96750000e-01, 2.06310000e-01,\n", - " 5.55450000e-01, 7.76572000e+00, 4.14736000e+00, 2.11600000e-02,\n", - " 2.38050000e-01, 3.49140000e-01, 1.48120000e-01, 6.77120000e-01,\n", - " 3.06820000e-01, 5.29000000e-01, 5.87190000e-01, 3.12639000e+00,\n", - " 7.35310000e-01, 4.23200000e-02, 8.88720000e-01, 1.40185000e+00,\n", - " 8.41110000e-01, 7.35310000e-01, 4.76100000e-02, 4.07330000e-01,\n", - " 2.48630000e-01, 8.99300000e-02, 4.76100000e-02, 3.90931000e+00,\n", - " 2.85660000e-01, 1.11090000e-01, 3.70300000e-01, 7.08860000e-01,\n", - " 4.18439000e+00, 2.33818000e+00, 3.65010000e-01, 5.07840000e-01,\n", - " 2.05252000e+00, 2.90950000e-01, 4.97260000e-01, 1.58700000e+00,\n", - " 1.34366000e+00, 1.95730000e-01, 2.43869000e+00, 2.22180000e-01,\n", - " 4.85622000e+00, 2.59210000e-01, 7.77630000e-01, 3.70300000e-02,\n", - " 2.64500000e-02, 6.87700000e-02, 4.02040000e-01, 2.69790000e-01,\n", - " 4.33780000e-01, 2.38050000e-01, 1.85150000e-01, 2.27470000e-01,\n", - " 7.98790000e-01, 2.75080000e-01, 1.11090000e-01, 1.05800000e+00,\n", - " 8.99300000e-02, 3.39618000e+00, 8.19950000e-01, 8.35820000e-01,\n", - " 1.95730000e-01, 3.06820000e-01, 1.16380000e-01, 3.77706000e+00,\n", - " 1.48120000e-01, 6.87700000e-02, 7.88210000e-01, 7.00396000e+00,\n", - " 1.05800000e-01, 1.69280000e-01, 2.11600000e-02, 3.23748000e+00,\n", - " 5.29000000e-02, 7.30020000e-01, 1.05800000e-01, 2.91479000e+00,\n", - " 1.18496000e+00, 4.76100000e-02, 1.05800000e-02, 1.95730000e+00,\n", - " 3.70300000e-02, 3.22690000e-01, 1.07916000e+00, 2.85660000e-01,\n", - " 1.30663000e+00, 4.39070000e-01, 9.31040000e-01, 1.48120000e-01,\n", - " 2.75080000e-01, 4.76100000e-02, 4.02569000e+00, 4.12620000e+00,\n", - " 8.94010000e-01, 2.19535000e+00, 4.50708000e+00, 1.74570000e-01,\n", - " 2.64500000e-02, 8.99300000e-02, 1.85150000e-01, 2.38050000e-01,\n", - " 7.93500000e-02, 3.17400000e-02, 1.74570000e-01, 4.23200000e-01,\n", - " 5.87190000e-01, 1.74570000e-01, 9.52200000e-02, 8.99300000e-02,\n", - " 1.21670000e-01, 1.58700000e-02, 3.91460000e-01, 2.01020000e-01,\n", - " 9.52200000e-02, 4.91970000e-01, 4.23200000e-02, 7.56470000e-01,\n", - " 1.29076000e+00, 4.70810000e-01, 1.22728000e+00, 2.22709000e+00,\n", - " 7.03570000e-01, 3.38560000e+00, 3.70300000e-01, 6.50670000e-01,\n", - " 1.26960000e+00, 5.13130000e-01, 2.43340000e-01, 3.06820000e-01,\n", - " 1.37540000e-01, 1.74570000e-01, 5.29000000e-03, 1.95730000e-01,\n", - " 8.99300000e-02, 4.76100000e-02, 2.16890000e-01, 9.89230000e-01,\n", - " 2.32760000e-01, 1.90440000e-01, 7.93500000e-02, 3.43850000e-01,\n", - " 2.26412000e+00, 9.57490000e-01, 2.59210000e-01, 6.29510000e-01,\n", - " 1.85150000e-01, 4.65520000e+00, 3.27980000e-01, 1.58171000e+00,\n", - " 3.17400000e-01, 4.02040000e-01, 1.63990000e-01, 4.65520000e-01,\n", - " 2.43340000e-01, 1.74570000e-01, 5.92480000e-01, 3.17400000e-02,\n", - " 9.52200000e-02, 2.48630000e-01, 1.85150000e-01, 2.43340000e-01,\n", - " 6.87700000e-02, 3.54430000e-01, 2.11600000e+00, 6.08350000e-01,\n", - " 9.57490000e-01, 5.76610000e-01, 3.33270000e-01, 7.30020000e-01,\n", - " 2.43869000e+00, 1.85679000e+00, 1.37540000e-01, 5.50160000e-01,\n", - " 2.80370000e-01, 3.65010000e-01, 8.25240000e-01, 1.57113000e+00,\n", - " 1.58700000e-02, 2.64500000e-02, 1.86737000e+00, 1.92556000e+00,\n", - " 2.96240000e-01, 3.70300000e-02, 2.06310000e-01, 1.37540000e-01,\n", - " 1.58700000e-02, 3.70300000e-02, 1.58700000e-01, 1.85150000e-01,\n", - " 2.10013000e+00, 1.01568000e+00, 1.11090000e-01, 3.12110000e-01,\n", - " 2.17948000e+00, 1.26960000e-01, 3.95692000e+00, 1.90440000e-01,\n", - " 2.85131000e+00, 2.59210000e-01, 1.12677000e+00, 2.11600000e-02,\n", - " 6.87700000e-02, 1.79860000e-01, 7.40600000e-02, 1.20083000e+00,\n", - " 7.30020000e-01, 5.76610000e-01, 8.46400000e-02, 2.27470000e-01,\n", - " 1.58700000e-02, 9.73360000e-01, 2.69790000e-01, 3.17400000e-02,\n", - " 4.44360000e-01, 1.54997000e+00, 5.50160000e-01, 5.29000000e-03,\n", - " 2.29586000e+00, 1.58700000e-01, 1.61874000e+00, 2.64500000e-02,\n", - " 1.58700000e-02, 2.06310000e-01, 9.62780000e-01, 1.48120000e-01,\n", - " 4.02040000e-01, 9.36330000e-01, 4.76100000e-02, 6.34800000e-02,\n", - " 3.34328000e+00, 2.11600000e-02, 2.11600000e-02, 1.69280000e-01,\n", - " 1.95730000e-01, 1.69280000e-01, 5.81900000e-02, 2.85660000e-01,\n", - " 2.43340000e-01, 3.38560000e-01, 2.53920000e-01, 7.30020000e-01,\n", - " 1.31721000e+00, 1.00510000e-01, 5.29000000e-02, 1.37540000e-01,\n", - " 2.27470000e-01, 2.32760000e-01, 7.61760000e-01, 8.99300000e-02,\n", - " 4.76100000e-02, 2.59210000e-01, 1.34895000e+00, 4.39070000e-01,\n", - " 2.48630000e-01, 9.37388000e+00, 1.05800000e-02, 1.16380000e-01,\n", - " 1.11090000e-01, 3.17400000e-02, 3.70300000e-02, 4.76100000e-02,\n", - " 4.23200000e-02, 3.06820000e-01, 7.40600000e-02, 9.83940000e-01,\n", - " 5.08898000e+00, 2.90950000e-01, 1.00510000e-01, 3.43850000e-01,\n", - " 1.83563000e+00, 1.42830000e-01, 8.99300000e-02, 3.96750000e-01,\n", - " 7.93500000e-02, 4.60230000e-01, 7.82920000e-01, 6.40090000e-01,\n", - " 5.81900000e-02, 2.96240000e-01, 2.06310000e-01, 1.53410000e-01,\n", - " 2.48630000e-01, 1.38598000e+00, 2.96240000e-01, 4.81390000e-01,\n", - " 7.82920000e-01, 9.52200000e-01, 7.40600000e-02, 2.11600000e-01,\n", - " 8.78140000e-01, 8.04080000e-01, 2.86718000e+00, 6.87700000e-02,\n", - " 1.05271000e+00, 1.26960000e-01, 3.12110000e-01, 4.39070000e-01,\n", - " 1.05800000e-01, 4.39070000e-01, 1.58700000e-01, 1.32250000e-01,\n", - " 3.70300000e-01, 4.17910000e-01, 9.52200000e-02, 4.23200000e-02,\n", - " 3.38560000e-01, 5.97770000e-01, 3.75590000e-01, 2.48630000e-01,\n", - " 1.42830000e-01, 1.58700000e-02, 6.03060000e-01, 1.69809000e+00,\n", - " 2.27470000e-01, 1.16380000e-01, 5.29000000e-03, 3.49140000e-01,\n", - " 2.48630000e-01, 7.93500000e-02, 9.52200000e-02, 4.17910000e-01,\n", - " 1.26960000e-01, 2.70848000e+00, 2.48630000e-01, 9.52200000e-02,\n", - " 0.00000000e+00, 5.39580000e-01, 1.26960000e-01, 1.69280000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.51642394e+03, -2.52731782e+03, 7.94524773e+01, 2.13365689e+01,\n", - " 0.00000000e+00, 0.00000000e+00, 1.24963145e+02, 0.00000000e+00,\n", - " 0.00000000e+00, -7.38916020e+01, -1.93915208e+00, 6.67420624e+01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 6.09700000e-01, 2.84830000e+00, 5.56010000e+00, 3.94030000e+00,\n", - " 2.09300000e-01, 3.82200000e-01, 2.54800000e-01, 5.36900000e-01,\n", - " 8.82700000e-01, 1.36500000e-01, 5.36900000e-01, 4.27700000e-01,\n", - " 9.57320000e+00, 3.64000000e-02, 1.27400000e-01, 8.19000000e-02,\n", - " 4.77750000e+00, 3.43980000e+00, 5.18700000e-01, 8.09900000e-01,\n", - " 1.91100000e-01, 1.00100000e-01, 5.46000000e-02, 0.00000000e+00,\n", - " 1.82000000e-01, 6.00600000e-01, 4.55000000e-02, 3.50350000e+00,\n", - " 6.82500000e-01, 2.81190000e+00, 1.49240000e+00, 1.13750000e+00,\n", - " 1.25580000e+00, 5.46000000e-02, 0.00000000e+00, 6.37000000e-02,\n", - " 7.09800000e-01, 3.27600000e-01, 1.63800000e-01, 1.18300000e-01,\n", - " 4.09500000e-01, 3.82200000e-01, 1.02830000e+00, 2.16580000e+00,\n", - " 3.45800000e-01, 3.59450000e+00, 1.13750000e+00, 4.57730000e+00,\n", - " 5.73300000e-01, 1.59978000e+01, 1.00100000e-01, 1.27400000e-01,\n", - " 4.18600000e-01, 3.00300000e-01, 6.73400000e-01, 1.63800000e-01,\n", - " 6.00600000e-01, 4.78660000e+00, 8.30830000e+00, 2.22950000e+00,\n", - " 1.55610000e+00, 1.36500000e+00, 5.46000000e-01, 2.32960000e+00,\n", - " 2.82100000e-01, 2.27500000e-01, 2.22040000e+00, 1.89280000e+00,\n", - " 9.10000000e-02, 0.00000000e+00, 4.18600000e-01, 4.27700000e-01,\n", - " 3.64000000e-02, 1.00100000e-01, 7.64400000e-01, 1.56520000e+00,\n", - " 9.28200000e-01, 3.00300000e-01, 3.09400000e-01, 2.29320000e+00,\n", - " 5.33260000e+00, 4.74110000e+00, 1.03740000e+00, 1.67440000e+00,\n", - " 1.95650000e+00, 2.18400000e+00, 2.45700000e-01, 5.09600000e-01,\n", - " 9.10000000e-02, 1.09200000e-01, 1.63800000e-01, 0.00000000e+00,\n", - " 4.55000000e-02, 1.27400000e-01, 1.84730000e+00, 4.82300000e-01,\n", - " 5.46000000e-02, 0.00000000e+00, 1.36500000e-01, 1.48330000e+00,\n", - " 1.18300000e+00, 4.22240000e+00, 5.53280000e+00, 1.02830000e+00,\n", - " 1.63800000e-01, 8.19000000e-02, 4.27700000e-01, 8.19000000e-02,\n", - " 2.44790000e+00, 1.90190000e+00, 5.82400000e-01, 4.73200000e-01,\n", - " 4.95950000e+00, 1.00100000e+00, 0.00000000e+00, 2.39330000e+00,\n", - " 1.57430000e+00, 7.77140000e+00, 1.25580000e+00, 3.72190000e+00,\n", - " 7.73500000e-01, 1.05560000e+00, 2.88470000e+00, 4.84120000e+00,\n", - " 4.33160000e+00, 8.67230000e+00, 1.29220000e+00, 5.55100000e-01,\n", - " 3.68550000e+00, 4.56820000e+00, 1.55610000e+00, 8.55400000e-01,\n", - " 1.82000000e-01, 7.28000000e-01, 1.35590000e+00, 9.46400000e-01,\n", - " 8.00800000e-01, 2.36600000e+00, 6.73400000e-01, 2.27500000e-01,\n", - " 4.52270000e+00, 3.84930000e+00, 3.37610000e+00, 3.53080000e+00,\n", - " 5.36900000e-01, 6.09700000e-01, 1.18300000e-01, 3.18500000e-01,\n", - " 6.55200000e-01, 1.25580000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 9.03630000e+00, 1.31404000e+01, 2.85285000e+01, 7.46200000e-01,\n", - " 8.19000000e-01, 4.45900000e-01, 1.00100000e-01, 1.09200000e-01,\n", - " 2.73000000e-01, 2.36600000e-01, 1.46510000e+00, 1.33770000e+00,\n", - " 1.25580000e+00, 3.64000000e-01, 9.42760000e+00, 1.72627000e+01,\n", - " 2.63900000e-01, 2.27500000e-01, 6.09700000e-01, 2.45700000e-01,\n", - " 2.73000000e-01, 6.46100000e-01, 1.21940000e+00, 4.36800000e-01,\n", - " 6.18800000e-01, 6.37000000e-01, 8.19000000e-02, 1.55610000e+00,\n", - " 2.00200000e-01, 4.82300000e-01, 5.73300000e-01, 1.48330000e+00,\n", - " 1.15570000e+00, 1.00100000e-01, 1.71990000e+00, 5.18700000e-01,\n", - " 3.73100000e-01, 4.09500000e-01, 9.64600000e-01, 4.91400000e-01,\n", - " 1.06470000e+00, 5.46000000e-02, 5.00500000e-01, 3.09400000e-01,\n", - " 4.36800000e-01, 1.54700000e-01, 1.78269000e+01, 4.55000000e-01,\n", - " 4.00400000e-01, 1.82000000e+01, 6.55200000e-01, 1.18300000e-01,\n", - " 0.00000000e+00, 1.18300000e-01, 5.46000000e-02, 4.55000000e-01,\n", - " 6.27900000e-01, 1.27400000e-01, 4.82300000e-01, 6.00600000e+00,\n", - " 3.83110000e+00, 4.63190000e+00, 1.61616000e+01, 1.40322000e+01,\n", - " 3.82200000e-01, 2.18400000e-01, 3.67640000e+00, 2.36600000e+00,\n", - " 7.99890000e+00, 5.67840000e+00, 8.19000000e-02, 2.00200000e+00,\n", - " 5.73300000e-01, 8.12630000e+00, 4.55000000e-02, 6.37000000e-02,\n", - " 1.00100000e-01, 4.55000000e-02, 2.86650000e+00, 2.26590000e+00,\n", - " 2.27500000e+00, 7.14350000e+00, 3.73100000e-01, 9.10000000e-02,\n", - " 3.55810000e+00, 1.18300000e-01, 3.73100000e-01, 5.74210000e+00,\n", - " 3.91300000e-01, 3.64000000e-01, 3.45800000e-01, 4.00400000e-01,\n", - " 2.09300000e-01, 4.65010000e+00, 2.63900000e+00, 8.19000000e-01,\n", - " 1.24670000e+00, 4.36800000e-01, 8.19000000e-02, 2.32960000e+00,\n", - " 1.45600000e+00, 3.32150000e+00, 3.27600000e-01, 5.82400000e-01,\n", - " 2.09300000e-01, 3.36700000e-01, 6.82500000e-01, 2.61170000e+00,\n", - " 7.37100000e-01, 2.68450000e+00, 1.02830000e+00, 3.82200000e-01,\n", - " 8.00800000e-01, 1.37410000e+00, 2.29320000e+00, 6.26080000e+00,\n", - " 7.00700000e-01, 3.32150000e+00, 3.09400000e-01, 3.00300000e-01,\n", - " 8.19000000e-01, 1.66530000e+00, 6.37000000e-01, 1.89280000e+00,\n", - " 1.27400000e-01, 4.27700000e-01, 2.36600000e+00, 1.23760000e+00,\n", - " 1.54700000e-01, 2.82100000e-01, 9.91900000e-01, 5.73300000e-01,\n", - " 1.08290000e+00, 7.28000000e-01, 1.00100000e-01, 3.18500000e-01,\n", - " 7.28000000e-02, 9.10000000e-03, 3.69460000e+00, 4.94130000e+00,\n", - " 2.36600000e-01, 1.72900000e-01, 1.09291000e+01, 4.93220000e+00,\n", - " 9.37300000e-01, 3.69460000e+00, 5.73300000e-01, 1.92920000e+00,\n", - " 2.54800000e-01, 2.27500000e-01, 2.57530000e+00, 3.09400000e-01,\n", - " 1.18300000e-01, 1.79270000e+00, 1.01010000e+00, 4.73200000e-01,\n", - " 4.16780000e+00, 1.45600000e-01, 3.36700000e-01, 1.72900000e-01,\n", - " 2.45700000e-01, 9.10000000e-02, 5.68750000e+00, 2.96660000e+00,\n", - " 3.36700000e-01, 1.54700000e-01, 2.42060000e+00, 2.54800000e-01,\n", - " 1.21030000e+00, 9.10000000e-03, 1.11930000e+00, 1.43780000e+00,\n", - " 4.09500000e-01, 1.35590000e+00, 2.27500000e-01, 7.23450000e+00,\n", - " 3.09400000e-01, 3.00300000e-01, 2.82100000e-01, 1.04104000e+01,\n", - " 3.18500000e-01, 7.55300000e-01, 8.19000000e-02, 4.55000000e-02,\n", - " 2.52070000e+00, 9.00900000e-01, 7.28000000e-02, 0.00000000e+00,\n", - " 3.20320000e+00, 1.65620000e+00, 4.76840000e+00, 2.07480000e+00,\n", - " 5.46000000e-02, 3.64000000e-02, 2.73000000e-01, 1.23760000e+00,\n", - " 1.46510000e+00, 2.27500000e-01, 0.00000000e+00, 8.19000000e-02,\n", - " 8.55400000e-01, 1.63800000e-01, 2.91200000e-01, 4.82300000e-01,\n", - " 3.19410000e+00, 2.09300000e+00, 6.37000000e-02, 2.18400000e-01,\n", - " 1.18300000e-01, 9.10000000e-02, 9.10000000e-02, 2.73000000e-01,\n", - " 2.73000000e-01, 3.50350000e+00, 3.33970000e+00, 2.54800000e-01,\n", - " 3.54900000e-01, 1.36500000e-01, 1.00100000e-01, 3.00300000e-01,\n", - " 9.10000000e-02, 9.10000000e-02, 6.18800000e-01, 4.73200000e-01,\n", - " 6.46100000e-01, 8.09900000e-01, 6.90690000e+00, 1.41960000e+00,\n", - " 1.25580000e+00, 1.31040000e+00, 2.44790000e+00, 1.82000000e-01,\n", - " 1.18300000e+00, 3.37610000e+00, 2.36600000e-01, 9.60960000e+00,\n", - " 7.19810000e+00, 4.41350000e+00, 4.91400000e-01, 1.36500000e-01,\n", - " 8.05350000e+00, 2.03840000e+00, 3.39430000e+00, 7.46200000e-01,\n", - " 1.72900000e-01, 2.78460000e+00, 2.23860000e+00, 9.10000000e-02,\n", - " 3.64000000e-02, 2.73000000e-02, 8.19000000e-01, 3.64000000e-02,\n", - " 3.79470000e+00, 8.13540000e+00, 3.64000000e-01, 7.46200000e-01,\n", - " 1.67440000e+00, 4.55000000e-02, 2.09300000e-01, 2.45700000e+00,\n", - " 2.63900000e-01, 4.36800000e-01, 9.37300000e-01, 5.10510000e+00,\n", - " 2.81190000e+00, 5.82400000e-01, 9.19100000e-01, 1.21940000e+00,\n", - " 1.36500000e-01, 6.18800000e-01, 7.82600000e-01, 3.27600000e-01,\n", - " 4.55000000e-02, 4.91400000e-01, 2.36600000e-01, 2.27500000e-01,\n", - " 5.18700000e-01, 6.46100000e-01, 9.55500000e-01, 2.54800000e-01,\n", - " 2.73000000e-02, 3.45800000e-01, 4.39530000e+00, 2.45700000e-01,\n", - " 2.14760000e+00, 2.18400000e-01, 7.82600000e-01, 4.45900000e+00,\n", - " 6.99790000e+00, 1.56520000e+00, 2.98480000e+00, 3.45800000e-01,\n", - " 3.18500000e-01, 2.27500000e-01, 1.66530000e+00, 2.73000000e-01,\n", - " 2.91200000e-01, 1.63800000e-01, 4.55000000e-01, 4.36800000e-01,\n", - " 4.64100000e+00, 1.33770000e+00, 5.27800000e-01, 9.10000000e-03,\n", - " 4.45900000e-01, 1.68350000e+00, 1.93830000e+00, 1.82000000e+00,\n", - " 1.72900000e-01, 6.73400000e-01, 1.27400000e+00, 2.27500000e-01,\n", - " 5.73300000e-01, 3.45800000e-01, 1.54700000e-01, 2.54800000e-01,\n", - " 5.55100000e-01, 4.27700000e-01, 3.73100000e-01, 7.28000000e-02,\n", - " 2.73910000e+00, 3.48530000e+00, 1.36500000e-01, 1.45600000e-01,\n", - " 3.18500000e-01, 1.01738000e+01, 5.50550000e+00, 1.18300000e-01,\n", - " 3.88570000e+00, 2.02020000e+00, 9.10000000e-03, 3.91300000e-01,\n", - " 2.18400000e-01, 1.85640000e+00, 2.73000000e+00, 3.74920000e+00,\n", - " 2.54800000e-01, 7.28910000e+00, 1.24670000e+00, 5.27800000e+00,\n", - " 6.82500000e-01, 9.55500000e-01, 4.06770000e+00, 3.07580000e+00,\n", - " 1.26490000e+00, 1.44690000e+00, 0.00000000e+00, 9.10000000e-01,\n", - " 8.09900000e-01, 1.09200000e-01, 5.46000000e-02, 1.00100000e-01,\n", - " 1.54700000e-01, 2.91200000e-01, 6.00600000e-01, 4.09500000e-01,\n", - " 3.45800000e-01, 1.62890000e+00, 1.77450000e+00, 3.64000000e-02,\n", - " 3.54900000e-01, 4.91400000e-01, 2.18400000e-01, 3.36700000e-01,\n", - " 1.82000000e-01, 5.91500000e-01, 1.51970000e+00, 2.18400000e-01,\n", - " 1.72900000e-01, 9.97360000e+00, 3.91300000e-01, 3.36700000e-01,\n", - " 2.91200000e-01, 1.86550000e+00, 4.27700000e-01, 1.54700000e-01,\n", - " 1.31040000e+00, 3.45800000e-01, 2.41150000e+00, 6.37000000e-01,\n", - " 5.45090000e+00, 3.94030000e+00, 3.73100000e+00, 3.36700000e-01,\n", - " 3.64000000e-02, 4.27700000e-01, 1.00100000e-01, 2.45700000e-01,\n", - " 5.05960000e+00, 2.63900000e-01, 2.73000000e-02, 1.45600000e-01,\n", - " 3.38520000e+00, 8.55400000e-01, 2.00200000e-01, 6.91600000e-01,\n", - " 3.34880000e+00, 6.07880000e+00, 1.11384000e+01, 1.29220000e+00,\n", - " 5.86040000e+00, 7.87150000e+00, 6.82500000e-01, 3.54900000e-01,\n", - " 9.55500000e-01, 1.33588000e+01, 7.13440000e+00, 3.64000000e-02,\n", - " 4.09500000e-01, 6.00600000e-01, 2.54800000e-01, 1.16480000e+00,\n", - " 5.27800000e-01, 9.10000000e-01, 1.01010000e+00, 5.37810000e+00,\n", - " 1.26490000e+00, 7.28000000e-02, 1.52880000e+00, 2.41150000e+00,\n", - " 1.44690000e+00, 1.26490000e+00, 8.19000000e-02, 7.00700000e-01,\n", - " 4.27700000e-01, 1.54700000e-01, 8.19000000e-02, 6.72490000e+00,\n", - " 4.91400000e-01, 1.91100000e-01, 6.37000000e-01, 1.21940000e+00,\n", - " 7.19810000e+00, 4.02220000e+00, 6.27900000e-01, 8.73600000e-01,\n", - " 3.53080000e+00, 5.00500000e-01, 8.55400000e-01, 2.73000000e+00,\n", - " 2.31140000e+00, 3.36700000e-01, 4.19510000e+00, 3.82200000e-01,\n", - " 8.35380000e+00, 4.45900000e-01, 1.33770000e+00, 6.37000000e-02,\n", - " 4.55000000e-02, 1.18300000e-01, 6.91600000e-01, 4.64100000e-01,\n", - " 7.46200000e-01, 4.09500000e-01, 3.18500000e-01, 3.91300000e-01,\n", - " 1.37410000e+00, 4.73200000e-01, 1.91100000e-01, 1.82000000e+00,\n", - " 1.54700000e-01, 5.84220000e+00, 1.41050000e+00, 1.43780000e+00,\n", - " 3.36700000e-01, 5.27800000e-01, 2.00200000e-01, 6.49740000e+00,\n", - " 2.54800000e-01, 1.18300000e-01, 1.35590000e+00, 1.20484000e+01,\n", - " 1.82000000e-01, 2.91200000e-01, 3.64000000e-02, 5.56920000e+00,\n", - " 9.10000000e-02, 1.25580000e+00, 1.82000000e-01, 5.01410000e+00,\n", - " 2.03840000e+00, 8.19000000e-02, 1.82000000e-02, 3.36700000e+00,\n", - " 6.37000000e-02, 5.55100000e-01, 1.85640000e+00, 4.91400000e-01,\n", - " 2.24770000e+00, 7.55300000e-01, 1.60160000e+00, 2.54800000e-01,\n", - " 4.73200000e-01, 8.19000000e-02, 6.92510000e+00, 7.09800000e+00,\n", - " 1.53790000e+00, 3.77650000e+00, 7.75320000e+00, 3.00300000e-01,\n", - " 4.55000000e-02, 1.54700000e-01, 3.18500000e-01, 4.09500000e-01,\n", - " 1.36500000e-01, 5.46000000e-02, 3.00300000e-01, 7.28000000e-01,\n", - " 1.01010000e+00, 3.00300000e-01, 1.63800000e-01, 1.54700000e-01,\n", - " 2.09300000e-01, 2.73000000e-02, 6.73400000e-01, 3.45800000e-01,\n", - " 1.63800000e-01, 8.46300000e-01, 7.28000000e-02, 1.30130000e+00,\n", - " 2.22040000e+00, 8.09900000e-01, 2.11120000e+00, 3.83110000e+00,\n", - " 1.21030000e+00, 5.82400000e+00, 6.37000000e-01, 1.11930000e+00,\n", - " 2.18400000e+00, 8.82700000e-01, 4.18600000e-01, 5.27800000e-01,\n", - " 2.36600000e-01, 3.00300000e-01, 9.10000000e-03, 3.36700000e-01,\n", - " 1.54700000e-01, 8.19000000e-02, 3.73100000e-01, 1.70170000e+00,\n", - " 4.00400000e-01, 3.27600000e-01, 1.36500000e-01, 5.91500000e-01,\n", - " 3.89480000e+00, 1.64710000e+00, 4.45900000e-01, 1.08290000e+00,\n", - " 3.18500000e-01, 8.00800000e+00, 5.64200000e-01, 2.72090000e+00,\n", - " 5.46000000e-01, 6.91600000e-01, 2.82100000e-01, 8.00800000e-01,\n", - " 4.18600000e-01, 3.00300000e-01, 1.01920000e+00, 5.46000000e-02,\n", - " 1.63800000e-01, 4.27700000e-01, 3.18500000e-01, 4.18600000e-01,\n", - " 1.18300000e-01, 6.09700000e-01, 3.64000000e+00, 1.04650000e+00,\n", - " 1.64710000e+00, 9.91900000e-01, 5.73300000e-01, 1.25580000e+00,\n", - " 4.19510000e+00, 3.19410000e+00, 2.36600000e-01, 9.46400000e-01,\n", - " 4.82300000e-01, 6.27900000e-01, 1.41960000e+00, 2.70270000e+00,\n", - " 2.73000000e-02, 4.55000000e-02, 3.21230000e+00, 3.31240000e+00,\n", - " 5.09600000e-01, 6.37000000e-02, 3.54900000e-01, 2.36600000e-01,\n", - " 2.73000000e-02, 6.37000000e-02, 2.73000000e-01, 3.18500000e-01,\n", - " 3.61270000e+00, 1.74720000e+00, 1.91100000e-01, 5.36900000e-01,\n", - " 3.74920000e+00, 2.18400000e-01, 6.80680000e+00, 3.27600000e-01,\n", - " 4.90490000e+00, 4.45900000e-01, 1.93830000e+00, 3.64000000e-02,\n", - " 1.18300000e-01, 3.09400000e-01, 1.27400000e-01, 2.06570000e+00,\n", - " 1.25580000e+00, 9.91900000e-01, 1.45600000e-01, 3.91300000e-01,\n", - " 2.73000000e-02, 1.67440000e+00, 4.64100000e-01, 5.46000000e-02,\n", - " 7.64400000e-01, 2.66630000e+00, 9.46400000e-01, 9.10000000e-03,\n", - " 3.94940000e+00, 2.73000000e-01, 2.78460000e+00, 4.55000000e-02,\n", - " 2.73000000e-02, 3.54900000e-01, 1.65620000e+00, 2.54800000e-01,\n", - " 6.91600000e-01, 1.61070000e+00, 8.19000000e-02, 1.09200000e-01,\n", - " 5.75120000e+00, 3.64000000e-02, 3.64000000e-02, 2.91200000e-01,\n", - " 3.36700000e-01, 2.91200000e-01, 1.00100000e-01, 4.91400000e-01,\n", - " 4.18600000e-01, 5.82400000e-01, 4.36800000e-01, 1.25580000e+00,\n", - " 2.26590000e+00, 1.72900000e-01, 9.10000000e-02, 2.36600000e-01,\n", - " 3.91300000e-01, 4.00400000e-01, 1.31040000e+00, 1.54700000e-01,\n", - " 8.19000000e-02, 4.45900000e-01, 2.32050000e+00, 7.55300000e-01,\n", - " 4.27700000e-01, 1.61252000e+01, 1.82000000e-02, 2.00200000e-01,\n", - " 1.91100000e-01, 5.46000000e-02, 6.37000000e-02, 8.19000000e-02,\n", - " 7.28000000e-02, 5.27800000e-01, 1.27400000e-01, 1.69260000e+00,\n", - " 8.75420000e+00, 5.00500000e-01, 1.72900000e-01, 5.91500000e-01,\n", - " 3.15770000e+00, 2.45700000e-01, 1.54700000e-01, 6.82500000e-01,\n", - " 1.36500000e-01, 7.91700000e-01, 1.34680000e+00, 1.10110000e+00,\n", - " 1.00100000e-01, 5.09600000e-01, 3.54900000e-01, 2.63900000e-01,\n", - " 4.27700000e-01, 2.38420000e+00, 5.09600000e-01, 8.28100000e-01,\n", - " 1.34680000e+00, 1.63800000e+00, 1.27400000e-01, 3.64000000e-01,\n", - " 1.51060000e+00, 1.38320000e+00, 4.93220000e+00, 1.18300000e-01,\n", - " 1.81090000e+00, 2.18400000e-01, 5.36900000e-01, 7.55300000e-01,\n", - " 1.82000000e-01, 7.55300000e-01, 2.73000000e-01, 2.27500000e-01,\n", - " 6.37000000e-01, 7.18900000e-01, 1.63800000e-01, 7.28000000e-02,\n", - " 5.82400000e-01, 1.02830000e+00, 6.46100000e-01, 4.27700000e-01,\n", - " 2.45700000e-01, 2.73000000e-02, 1.03740000e+00, 2.92110000e+00,\n", - " 3.91300000e-01, 2.00200000e-01, 9.10000000e-03, 6.00600000e-01,\n", - " 4.27700000e-01, 1.36500000e-01, 1.63800000e-01, 7.18900000e-01,\n", - " 2.18400000e-01, 4.65920000e+00, 4.27700000e-01, 1.63800000e-01,\n", - " 0.00000000e+00, 9.28200000e-01, 2.18400000e-01, 2.91200000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.51390981e+03, -2.52731782e+03, 4.88601189e+01, -2.25968757e+01,\n", - " 0.00000000e+00, 0.00000000e+00, 4.01325498e+01, 0.00000000e+00,\n", - " 0.00000000e+00, -1.27109689e+02, -6.79738617e+01, -2.24159313e+02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 8.04000000e-01, 3.75600000e+00, 7.33200000e+00, 5.19600000e+00,\n", - " 2.76000000e-01, 5.04000000e-01, 3.36000000e-01, 7.08000000e-01,\n", - " 1.16400000e+00, 1.80000000e-01, 7.08000000e-01, 5.64000000e-01,\n", - " 1.26240000e+01, 4.80000000e-02, 1.68000000e-01, 1.08000000e-01,\n", - " 6.30000000e+00, 4.53600000e+00, 6.84000000e-01, 1.06800000e+00,\n", - " 2.52000000e-01, 1.32000000e-01, 7.20000000e-02, 0.00000000e+00,\n", - " 2.40000000e-01, 7.92000000e-01, 6.00000000e-02, 4.62000000e+00,\n", - " 9.00000000e-01, 3.70800000e+00, 1.96800000e+00, 1.50000000e+00,\n", - " 1.65600000e+00, 7.20000000e-02, 0.00000000e+00, 8.40000000e-02,\n", - " 9.36000000e-01, 4.32000000e-01, 2.16000000e-01, 1.56000000e-01,\n", - " 5.40000000e-01, 5.04000000e-01, 1.35600000e+00, 2.85600000e+00,\n", - " 4.56000000e-01, 4.74000000e+00, 1.50000000e+00, 6.03600000e+00,\n", - " 7.56000000e-01, 2.10960000e+01, 1.32000000e-01, 1.68000000e-01,\n", - " 5.52000000e-01, 3.96000000e-01, 8.88000000e-01, 2.16000000e-01,\n", - " 7.92000000e-01, 6.31200000e+00, 1.09560000e+01, 2.94000000e+00,\n", - " 2.05200000e+00, 1.80000000e+00, 7.20000000e-01, 3.07200000e+00,\n", - " 3.72000000e-01, 3.00000000e-01, 2.92800000e+00, 2.49600000e+00,\n", - " 1.20000000e-01, 0.00000000e+00, 5.52000000e-01, 5.64000000e-01,\n", - " 4.80000000e-02, 1.32000000e-01, 1.00800000e+00, 2.06400000e+00,\n", - " 1.22400000e+00, 3.96000000e-01, 4.08000000e-01, 3.02400000e+00,\n", - " 7.03200000e+00, 6.25200000e+00, 1.36800000e+00, 2.20800000e+00,\n", - " 2.58000000e+00, 2.88000000e+00, 3.24000000e-01, 6.72000000e-01,\n", - " 1.20000000e-01, 1.44000000e-01, 2.16000000e-01, 0.00000000e+00,\n", - " 6.00000000e-02, 1.68000000e-01, 2.43600000e+00, 6.36000000e-01,\n", - " 7.20000000e-02, 0.00000000e+00, 1.80000000e-01, 1.95600000e+00,\n", - " 1.56000000e+00, 5.56800000e+00, 7.29600000e+00, 1.35600000e+00,\n", - " 2.16000000e-01, 1.08000000e-01, 5.64000000e-01, 1.08000000e-01,\n", - " 3.22800000e+00, 2.50800000e+00, 7.68000000e-01, 6.24000000e-01,\n", - " 6.54000000e+00, 1.32000000e+00, 0.00000000e+00, 3.15600000e+00,\n", - " 2.07600000e+00, 1.02480000e+01, 1.65600000e+00, 4.90800000e+00,\n", - " 1.02000000e+00, 1.39200000e+00, 3.80400000e+00, 6.38400000e+00,\n", - " 5.71200000e+00, 1.14360000e+01, 1.70400000e+00, 7.32000000e-01,\n", - " 4.86000000e+00, 6.02400000e+00, 2.05200000e+00, 1.12800000e+00,\n", - " 2.40000000e-01, 9.60000000e-01, 1.78800000e+00, 1.24800000e+00,\n", - " 1.05600000e+00, 3.12000000e+00, 8.88000000e-01, 3.00000000e-01,\n", - " 5.96400000e+00, 5.07600000e+00, 4.45200000e+00, 4.65600000e+00,\n", - " 7.08000000e-01, 8.04000000e-01, 1.56000000e-01, 4.20000000e-01,\n", - " 8.64000000e-01, 1.65600000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.19160000e+01, 1.73280000e+01, 3.76200000e+01, 9.84000000e-01,\n", - " 1.08000000e+00, 5.88000000e-01, 1.32000000e-01, 1.44000000e-01,\n", - " 3.60000000e-01, 3.12000000e-01, 1.93200000e+00, 1.76400000e+00,\n", - " 1.65600000e+00, 4.80000000e-01, 1.24320000e+01, 2.27640000e+01,\n", - " 3.48000000e-01, 3.00000000e-01, 8.04000000e-01, 3.24000000e-01,\n", - " 3.60000000e-01, 8.52000000e-01, 1.60800000e+00, 5.76000000e-01,\n", - " 8.16000000e-01, 8.40000000e-01, 1.08000000e-01, 2.05200000e+00,\n", - " 2.64000000e-01, 6.36000000e-01, 7.56000000e-01, 1.95600000e+00,\n", - " 1.52400000e+00, 1.32000000e-01, 2.26800000e+00, 6.84000000e-01,\n", - " 4.92000000e-01, 5.40000000e-01, 1.27200000e+00, 6.48000000e-01,\n", - " 1.40400000e+00, 7.20000000e-02, 6.60000000e-01, 4.08000000e-01,\n", - " 5.76000000e-01, 2.04000000e-01, 2.35080000e+01, 6.00000000e-01,\n", - " 5.28000000e-01, 2.40000000e+01, 8.64000000e-01, 1.56000000e-01,\n", - " 0.00000000e+00, 1.56000000e-01, 7.20000000e-02, 6.00000000e-01,\n", - " 8.28000000e-01, 1.68000000e-01, 6.36000000e-01, 7.92000000e+00,\n", - " 5.05200000e+00, 6.10800000e+00, 2.13120000e+01, 1.85040000e+01,\n", - " 5.04000000e-01, 2.88000000e-01, 4.84800000e+00, 3.12000000e+00,\n", - " 1.05480000e+01, 7.48800000e+00, 1.08000000e-01, 2.64000000e+00,\n", - " 7.56000000e-01, 1.07160000e+01, 6.00000000e-02, 8.40000000e-02,\n", - " 1.32000000e-01, 6.00000000e-02, 3.78000000e+00, 2.98800000e+00,\n", - " 3.00000000e+00, 9.42000000e+00, 4.92000000e-01, 1.20000000e-01,\n", - " 4.69200000e+00, 1.56000000e-01, 4.92000000e-01, 7.57200000e+00,\n", - " 5.16000000e-01, 4.80000000e-01, 4.56000000e-01, 5.28000000e-01,\n", - " 2.76000000e-01, 6.13200000e+00, 3.48000000e+00, 1.08000000e+00,\n", - " 1.64400000e+00, 5.76000000e-01, 1.08000000e-01, 3.07200000e+00,\n", - " 1.92000000e+00, 4.38000000e+00, 4.32000000e-01, 7.68000000e-01,\n", - " 2.76000000e-01, 4.44000000e-01, 9.00000000e-01, 3.44400000e+00,\n", - " 9.72000000e-01, 3.54000000e+00, 1.35600000e+00, 5.04000000e-01,\n", - " 1.05600000e+00, 1.81200000e+00, 3.02400000e+00, 8.25600000e+00,\n", - " 9.24000000e-01, 4.38000000e+00, 4.08000000e-01, 3.96000000e-01,\n", - " 1.08000000e+00, 2.19600000e+00, 8.40000000e-01, 2.49600000e+00,\n", - " 1.68000000e-01, 5.64000000e-01, 3.12000000e+00, 1.63200000e+00,\n", - " 2.04000000e-01, 3.72000000e-01, 1.30800000e+00, 7.56000000e-01,\n", - " 1.42800000e+00, 9.60000000e-01, 1.32000000e-01, 4.20000000e-01,\n", - " 9.60000000e-02, 1.20000000e-02, 4.87200000e+00, 6.51600000e+00,\n", - " 3.12000000e-01, 2.28000000e-01, 1.44120000e+01, 6.50400000e+00,\n", - " 1.23600000e+00, 4.87200000e+00, 7.56000000e-01, 2.54400000e+00,\n", - " 3.36000000e-01, 3.00000000e-01, 3.39600000e+00, 4.08000000e-01,\n", - " 1.56000000e-01, 2.36400000e+00, 1.33200000e+00, 6.24000000e-01,\n", - " 5.49600000e+00, 1.92000000e-01, 4.44000000e-01, 2.28000000e-01,\n", - " 3.24000000e-01, 1.20000000e-01, 7.50000000e+00, 3.91200000e+00,\n", - " 4.44000000e-01, 2.04000000e-01, 3.19200000e+00, 3.36000000e-01,\n", - " 1.59600000e+00, 1.20000000e-02, 1.47600000e+00, 1.89600000e+00,\n", - " 5.40000000e-01, 1.78800000e+00, 3.00000000e-01, 9.54000000e+00,\n", - " 4.08000000e-01, 3.96000000e-01, 3.72000000e-01, 1.37280000e+01,\n", - " 4.20000000e-01, 9.96000000e-01, 1.08000000e-01, 6.00000000e-02,\n", - " 3.32400000e+00, 1.18800000e+00, 9.60000000e-02, 0.00000000e+00,\n", - " 4.22400000e+00, 2.18400000e+00, 6.28800000e+00, 2.73600000e+00,\n", - " 7.20000000e-02, 4.80000000e-02, 3.60000000e-01, 1.63200000e+00,\n", - " 1.93200000e+00, 3.00000000e-01, 0.00000000e+00, 1.08000000e-01,\n", - " 1.12800000e+00, 2.16000000e-01, 3.84000000e-01, 6.36000000e-01,\n", - " 4.21200000e+00, 2.76000000e+00, 8.40000000e-02, 2.88000000e-01,\n", - " 1.56000000e-01, 1.20000000e-01, 1.20000000e-01, 3.60000000e-01,\n", - " 3.60000000e-01, 4.62000000e+00, 4.40400000e+00, 3.36000000e-01,\n", - " 4.68000000e-01, 1.80000000e-01, 1.32000000e-01, 3.96000000e-01,\n", - " 1.20000000e-01, 1.20000000e-01, 8.16000000e-01, 6.24000000e-01,\n", - " 8.52000000e-01, 1.06800000e+00, 9.10800000e+00, 1.87200000e+00,\n", - " 1.65600000e+00, 1.72800000e+00, 3.22800000e+00, 2.40000000e-01,\n", - " 1.56000000e+00, 4.45200000e+00, 3.12000000e-01, 1.26720000e+01,\n", - " 9.49200000e+00, 5.82000000e+00, 6.48000000e-01, 1.80000000e-01,\n", - " 1.06200000e+01, 2.68800000e+00, 4.47600000e+00, 9.84000000e-01,\n", - " 2.28000000e-01, 3.67200000e+00, 2.95200000e+00, 1.20000000e-01,\n", - " 4.80000000e-02, 3.60000000e-02, 1.08000000e+00, 4.80000000e-02,\n", - " 5.00400000e+00, 1.07280000e+01, 4.80000000e-01, 9.84000000e-01,\n", - " 2.20800000e+00, 6.00000000e-02, 2.76000000e-01, 3.24000000e+00,\n", - " 3.48000000e-01, 5.76000000e-01, 1.23600000e+00, 6.73200000e+00,\n", - " 3.70800000e+00, 7.68000000e-01, 1.21200000e+00, 1.60800000e+00,\n", - " 1.80000000e-01, 8.16000000e-01, 1.03200000e+00, 4.32000000e-01,\n", - " 6.00000000e-02, 6.48000000e-01, 3.12000000e-01, 3.00000000e-01,\n", - " 6.84000000e-01, 8.52000000e-01, 1.26000000e+00, 3.36000000e-01,\n", - " 3.60000000e-02, 4.56000000e-01, 5.79600000e+00, 3.24000000e-01,\n", - " 2.83200000e+00, 2.88000000e-01, 1.03200000e+00, 5.88000000e+00,\n", - " 9.22800000e+00, 2.06400000e+00, 3.93600000e+00, 4.56000000e-01,\n", - " 4.20000000e-01, 3.00000000e-01, 2.19600000e+00, 3.60000000e-01,\n", - " 3.84000000e-01, 2.16000000e-01, 6.00000000e-01, 5.76000000e-01,\n", - " 6.12000000e+00, 1.76400000e+00, 6.96000000e-01, 1.20000000e-02,\n", - " 5.88000000e-01, 2.22000000e+00, 2.55600000e+00, 2.40000000e+00,\n", - " 2.28000000e-01, 8.88000000e-01, 1.68000000e+00, 3.00000000e-01,\n", - " 7.56000000e-01, 4.56000000e-01, 2.04000000e-01, 3.36000000e-01,\n", - " 7.32000000e-01, 5.64000000e-01, 4.92000000e-01, 9.60000000e-02,\n", - " 3.61200000e+00, 4.59600000e+00, 1.80000000e-01, 1.92000000e-01,\n", - " 4.20000000e-01, 1.34160000e+01, 7.26000000e+00, 1.56000000e-01,\n", - " 5.12400000e+00, 2.66400000e+00, 1.20000000e-02, 5.16000000e-01,\n", - " 2.88000000e-01, 2.44800000e+00, 3.60000000e+00, 4.94400000e+00,\n", - " 3.36000000e-01, 9.61200000e+00, 1.64400000e+00, 6.96000000e+00,\n", - " 9.00000000e-01, 1.26000000e+00, 5.36400000e+00, 4.05600000e+00,\n", - " 1.66800000e+00, 1.90800000e+00, 0.00000000e+00, 1.20000000e+00,\n", - " 1.06800000e+00, 1.44000000e-01, 7.20000000e-02, 1.32000000e-01,\n", - " 2.04000000e-01, 3.84000000e-01, 7.92000000e-01, 5.40000000e-01,\n", - " 4.56000000e-01, 2.14800000e+00, 2.34000000e+00, 4.80000000e-02,\n", - " 4.68000000e-01, 6.48000000e-01, 2.88000000e-01, 4.44000000e-01,\n", - " 2.40000000e-01, 7.80000000e-01, 2.00400000e+00, 2.88000000e-01,\n", - " 2.28000000e-01, 1.31520000e+01, 5.16000000e-01, 4.44000000e-01,\n", - " 3.84000000e-01, 2.46000000e+00, 5.64000000e-01, 2.04000000e-01,\n", - " 1.72800000e+00, 4.56000000e-01, 3.18000000e+00, 8.40000000e-01,\n", - " 7.18800000e+00, 5.19600000e+00, 4.92000000e+00, 4.44000000e-01,\n", - " 4.80000000e-02, 5.64000000e-01, 1.32000000e-01, 3.24000000e-01,\n", - " 6.67200000e+00, 3.48000000e-01, 3.60000000e-02, 1.92000000e-01,\n", - " 4.46400000e+00, 1.12800000e+00, 2.64000000e-01, 9.12000000e-01,\n", - " 4.41600000e+00, 8.01600000e+00, 1.46880000e+01, 1.70400000e+00,\n", - " 7.72800000e+00, 1.03800000e+01, 9.00000000e-01, 4.68000000e-01,\n", - " 1.26000000e+00, 1.76160000e+01, 9.40800000e+00, 4.80000000e-02,\n", - " 5.40000000e-01, 7.92000000e-01, 3.36000000e-01, 1.53600000e+00,\n", - " 6.96000000e-01, 1.20000000e+00, 1.33200000e+00, 7.09200000e+00,\n", - " 1.66800000e+00, 9.60000000e-02, 2.01600000e+00, 3.18000000e+00,\n", - " 1.90800000e+00, 1.66800000e+00, 1.08000000e-01, 9.24000000e-01,\n", - " 5.64000000e-01, 2.04000000e-01, 1.08000000e-01, 8.86800000e+00,\n", - " 6.48000000e-01, 2.52000000e-01, 8.40000000e-01, 1.60800000e+00,\n", - " 9.49200000e+00, 5.30400000e+00, 8.28000000e-01, 1.15200000e+00,\n", - " 4.65600000e+00, 6.60000000e-01, 1.12800000e+00, 3.60000000e+00,\n", - " 3.04800000e+00, 4.44000000e-01, 5.53200000e+00, 5.04000000e-01,\n", - " 1.10160000e+01, 5.88000000e-01, 1.76400000e+00, 8.40000000e-02,\n", - " 6.00000000e-02, 1.56000000e-01, 9.12000000e-01, 6.12000000e-01,\n", - " 9.84000000e-01, 5.40000000e-01, 4.20000000e-01, 5.16000000e-01,\n", - " 1.81200000e+00, 6.24000000e-01, 2.52000000e-01, 2.40000000e+00,\n", - " 2.04000000e-01, 7.70400000e+00, 1.86000000e+00, 1.89600000e+00,\n", - " 4.44000000e-01, 6.96000000e-01, 2.64000000e-01, 8.56800000e+00,\n", - " 3.36000000e-01, 1.56000000e-01, 1.78800000e+00, 1.58880000e+01,\n", - " 2.40000000e-01, 3.84000000e-01, 4.80000000e-02, 7.34400000e+00,\n", - " 1.20000000e-01, 1.65600000e+00, 2.40000000e-01, 6.61200000e+00,\n", - " 2.68800000e+00, 1.08000000e-01, 2.40000000e-02, 4.44000000e+00,\n", - " 8.40000000e-02, 7.32000000e-01, 2.44800000e+00, 6.48000000e-01,\n", - " 2.96400000e+00, 9.96000000e-01, 2.11200000e+00, 3.36000000e-01,\n", - " 6.24000000e-01, 1.08000000e-01, 9.13200000e+00, 9.36000000e+00,\n", - " 2.02800000e+00, 4.98000000e+00, 1.02240000e+01, 3.96000000e-01,\n", - " 6.00000000e-02, 2.04000000e-01, 4.20000000e-01, 5.40000000e-01,\n", - " 1.80000000e-01, 7.20000000e-02, 3.96000000e-01, 9.60000000e-01,\n", - " 1.33200000e+00, 3.96000000e-01, 2.16000000e-01, 2.04000000e-01,\n", - " 2.76000000e-01, 3.60000000e-02, 8.88000000e-01, 4.56000000e-01,\n", - " 2.16000000e-01, 1.11600000e+00, 9.60000000e-02, 1.71600000e+00,\n", - " 2.92800000e+00, 1.06800000e+00, 2.78400000e+00, 5.05200000e+00,\n", - " 1.59600000e+00, 7.68000000e+00, 8.40000000e-01, 1.47600000e+00,\n", - " 2.88000000e+00, 1.16400000e+00, 5.52000000e-01, 6.96000000e-01,\n", - " 3.12000000e-01, 3.96000000e-01, 1.20000000e-02, 4.44000000e-01,\n", - " 2.04000000e-01, 1.08000000e-01, 4.92000000e-01, 2.24400000e+00,\n", - " 5.28000000e-01, 4.32000000e-01, 1.80000000e-01, 7.80000000e-01,\n", - " 5.13600000e+00, 2.17200000e+00, 5.88000000e-01, 1.42800000e+00,\n", - " 4.20000000e-01, 1.05600000e+01, 7.44000000e-01, 3.58800000e+00,\n", - " 7.20000000e-01, 9.12000000e-01, 3.72000000e-01, 1.05600000e+00,\n", - " 5.52000000e-01, 3.96000000e-01, 1.34400000e+00, 7.20000000e-02,\n", - " 2.16000000e-01, 5.64000000e-01, 4.20000000e-01, 5.52000000e-01,\n", - " 1.56000000e-01, 8.04000000e-01, 4.80000000e+00, 1.38000000e+00,\n", - " 2.17200000e+00, 1.30800000e+00, 7.56000000e-01, 1.65600000e+00,\n", - " 5.53200000e+00, 4.21200000e+00, 3.12000000e-01, 1.24800000e+00,\n", - " 6.36000000e-01, 8.28000000e-01, 1.87200000e+00, 3.56400000e+00,\n", - " 3.60000000e-02, 6.00000000e-02, 4.23600000e+00, 4.36800000e+00,\n", - " 6.72000000e-01, 8.40000000e-02, 4.68000000e-01, 3.12000000e-01,\n", - " 3.60000000e-02, 8.40000000e-02, 3.60000000e-01, 4.20000000e-01,\n", - " 4.76400000e+00, 2.30400000e+00, 2.52000000e-01, 7.08000000e-01,\n", - " 4.94400000e+00, 2.88000000e-01, 8.97600000e+00, 4.32000000e-01,\n", - " 6.46800000e+00, 5.88000000e-01, 2.55600000e+00, 4.80000000e-02,\n", - " 1.56000000e-01, 4.08000000e-01, 1.68000000e-01, 2.72400000e+00,\n", - " 1.65600000e+00, 1.30800000e+00, 1.92000000e-01, 5.16000000e-01,\n", - " 3.60000000e-02, 2.20800000e+00, 6.12000000e-01, 7.20000000e-02,\n", - " 1.00800000e+00, 3.51600000e+00, 1.24800000e+00, 1.20000000e-02,\n", - " 5.20800000e+00, 3.60000000e-01, 3.67200000e+00, 6.00000000e-02,\n", - " 3.60000000e-02, 4.68000000e-01, 2.18400000e+00, 3.36000000e-01,\n", - " 9.12000000e-01, 2.12400000e+00, 1.08000000e-01, 1.44000000e-01,\n", - " 7.58400000e+00, 4.80000000e-02, 4.80000000e-02, 3.84000000e-01,\n", - " 4.44000000e-01, 3.84000000e-01, 1.32000000e-01, 6.48000000e-01,\n", - " 5.52000000e-01, 7.68000000e-01, 5.76000000e-01, 1.65600000e+00,\n", - " 2.98800000e+00, 2.28000000e-01, 1.20000000e-01, 3.12000000e-01,\n", - " 5.16000000e-01, 5.28000000e-01, 1.72800000e+00, 2.04000000e-01,\n", - " 1.08000000e-01, 5.88000000e-01, 3.06000000e+00, 9.96000000e-01,\n", - " 5.64000000e-01, 2.12640000e+01, 2.40000000e-02, 2.64000000e-01,\n", - " 2.52000000e-01, 7.20000000e-02, 8.40000000e-02, 1.08000000e-01,\n", - " 9.60000000e-02, 6.96000000e-01, 1.68000000e-01, 2.23200000e+00,\n", - " 1.15440000e+01, 6.60000000e-01, 2.28000000e-01, 7.80000000e-01,\n", - " 4.16400000e+00, 3.24000000e-01, 2.04000000e-01, 9.00000000e-01,\n", - " 1.80000000e-01, 1.04400000e+00, 1.77600000e+00, 1.45200000e+00,\n", - " 1.32000000e-01, 6.72000000e-01, 4.68000000e-01, 3.48000000e-01,\n", - " 5.64000000e-01, 3.14400000e+00, 6.72000000e-01, 1.09200000e+00,\n", - " 1.77600000e+00, 2.16000000e+00, 1.68000000e-01, 4.80000000e-01,\n", - " 1.99200000e+00, 1.82400000e+00, 6.50400000e+00, 1.56000000e-01,\n", - " 2.38800000e+00, 2.88000000e-01, 7.08000000e-01, 9.96000000e-01,\n", - " 2.40000000e-01, 9.96000000e-01, 3.60000000e-01, 3.00000000e-01,\n", - " 8.40000000e-01, 9.48000000e-01, 2.16000000e-01, 9.60000000e-02,\n", - " 7.68000000e-01, 1.35600000e+00, 8.52000000e-01, 5.64000000e-01,\n", - " 3.24000000e-01, 3.60000000e-02, 1.36800000e+00, 3.85200000e+00,\n", - " 5.16000000e-01, 2.64000000e-01, 1.20000000e-02, 7.92000000e-01,\n", - " 5.64000000e-01, 1.80000000e-01, 2.16000000e-01, 9.48000000e-01,\n", - " 2.88000000e-01, 6.14400000e+00, 5.64000000e-01, 2.16000000e-01,\n", - " 0.00000000e+00, 1.22400000e+00, 2.88000000e-01, 3.84000000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.50610595e+03, -2.52731782e+03, 2.37153801e+01, -5.69675930e+01,\n", - " 0.00000000e+00, 0.00000000e+00, -2.64873999e+01, 0.00000000e+00,\n", - " 0.00000000e+00, -1.67616891e+02, -1.33566071e+02, -4.19521078e+02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 8.04000000e-01, 3.75600000e+00, 7.33200000e+00, 5.19600000e+00,\n", - " 2.76000000e-01, 5.04000000e-01, 3.36000000e-01, 7.08000000e-01,\n", - " 1.16400000e+00, 1.80000000e-01, 7.08000000e-01, 5.64000000e-01,\n", - " 1.26240000e+01, 4.80000000e-02, 1.68000000e-01, 1.08000000e-01,\n", - " 6.30000000e+00, 4.53600000e+00, 6.84000000e-01, 1.06800000e+00,\n", - " 2.52000000e-01, 1.32000000e-01, 7.20000000e-02, 0.00000000e+00,\n", - " 2.40000000e-01, 7.92000000e-01, 6.00000000e-02, 4.62000000e+00,\n", - " 9.00000000e-01, 3.70800000e+00, 1.96800000e+00, 1.50000000e+00,\n", - " 1.65600000e+00, 7.20000000e-02, 0.00000000e+00, 8.40000000e-02,\n", - " 9.36000000e-01, 4.32000000e-01, 2.16000000e-01, 1.56000000e-01,\n", - " 5.40000000e-01, 5.04000000e-01, 1.35600000e+00, 2.85600000e+00,\n", - " 4.56000000e-01, 4.74000000e+00, 1.50000000e+00, 6.03600000e+00,\n", - " 7.56000000e-01, 2.10960000e+01, 1.32000000e-01, 1.68000000e-01,\n", - " 5.52000000e-01, 3.96000000e-01, 8.88000000e-01, 2.16000000e-01,\n", - " 7.92000000e-01, 6.31200000e+00, 1.09560000e+01, 2.94000000e+00,\n", - " 2.05200000e+00, 1.80000000e+00, 7.20000000e-01, 3.07200000e+00,\n", - " 3.72000000e-01, 3.00000000e-01, 2.92800000e+00, 2.49600000e+00,\n", - " 1.20000000e-01, 0.00000000e+00, 5.52000000e-01, 5.64000000e-01,\n", - " 4.80000000e-02, 1.32000000e-01, 1.00800000e+00, 2.06400000e+00,\n", - " 1.22400000e+00, 3.96000000e-01, 4.08000000e-01, 3.02400000e+00,\n", - " 7.03200000e+00, 6.25200000e+00, 1.36800000e+00, 2.20800000e+00,\n", - " 2.58000000e+00, 2.88000000e+00, 3.24000000e-01, 6.72000000e-01,\n", - " 1.20000000e-01, 1.44000000e-01, 2.16000000e-01, 0.00000000e+00,\n", - " 6.00000000e-02, 1.68000000e-01, 2.43600000e+00, 6.36000000e-01,\n", - " 7.20000000e-02, 0.00000000e+00, 1.80000000e-01, 1.95600000e+00,\n", - " 1.56000000e+00, 5.56800000e+00, 7.29600000e+00, 1.35600000e+00,\n", - " 2.16000000e-01, 1.08000000e-01, 5.64000000e-01, 1.08000000e-01,\n", - " 3.22800000e+00, 2.50800000e+00, 7.68000000e-01, 6.24000000e-01,\n", - " 6.54000000e+00, 1.32000000e+00, 0.00000000e+00, 3.15600000e+00,\n", - " 2.07600000e+00, 1.02480000e+01, 1.65600000e+00, 4.90800000e+00,\n", - " 1.02000000e+00, 1.39200000e+00, 3.80400000e+00, 6.38400000e+00,\n", - " 5.71200000e+00, 1.14360000e+01, 1.70400000e+00, 7.32000000e-01,\n", - " 4.86000000e+00, 6.02400000e+00, 2.05200000e+00, 1.12800000e+00,\n", - " 2.40000000e-01, 9.60000000e-01, 1.78800000e+00, 1.24800000e+00,\n", - " 1.05600000e+00, 3.12000000e+00, 8.88000000e-01, 3.00000000e-01,\n", - " 5.96400000e+00, 5.07600000e+00, 4.45200000e+00, 4.65600000e+00,\n", - " 7.08000000e-01, 8.04000000e-01, 1.56000000e-01, 4.20000000e-01,\n", - " 8.64000000e-01, 1.65600000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.19160000e+01, 1.73280000e+01, 3.76200000e+01, 9.84000000e-01,\n", - " 1.08000000e+00, 5.88000000e-01, 1.32000000e-01, 1.44000000e-01,\n", - " 3.60000000e-01, 3.12000000e-01, 1.93200000e+00, 1.76400000e+00,\n", - " 1.65600000e+00, 4.80000000e-01, 1.24320000e+01, 2.27640000e+01,\n", - " 3.48000000e-01, 3.00000000e-01, 8.04000000e-01, 3.24000000e-01,\n", - " 3.60000000e-01, 8.52000000e-01, 1.60800000e+00, 5.76000000e-01,\n", - " 8.16000000e-01, 8.40000000e-01, 1.08000000e-01, 2.05200000e+00,\n", - " 2.64000000e-01, 6.36000000e-01, 7.56000000e-01, 1.95600000e+00,\n", - " 1.52400000e+00, 1.32000000e-01, 2.26800000e+00, 6.84000000e-01,\n", - " 4.92000000e-01, 5.40000000e-01, 1.27200000e+00, 6.48000000e-01,\n", - " 1.40400000e+00, 7.20000000e-02, 6.60000000e-01, 4.08000000e-01,\n", - " 5.76000000e-01, 2.04000000e-01, 2.35080000e+01, 6.00000000e-01,\n", - " 5.28000000e-01, 2.40000000e+01, 8.64000000e-01, 1.56000000e-01,\n", - " 0.00000000e+00, 1.56000000e-01, 7.20000000e-02, 6.00000000e-01,\n", - " 8.28000000e-01, 1.68000000e-01, 6.36000000e-01, 7.92000000e+00,\n", - " 5.05200000e+00, 6.10800000e+00, 2.13120000e+01, 1.85040000e+01,\n", - " 5.04000000e-01, 2.88000000e-01, 4.84800000e+00, 3.12000000e+00,\n", - " 1.05480000e+01, 7.48800000e+00, 1.08000000e-01, 2.64000000e+00,\n", - " 7.56000000e-01, 1.07160000e+01, 6.00000000e-02, 8.40000000e-02,\n", - " 1.32000000e-01, 6.00000000e-02, 3.78000000e+00, 2.98800000e+00,\n", - " 3.00000000e+00, 9.42000000e+00, 4.92000000e-01, 1.20000000e-01,\n", - " 4.69200000e+00, 1.56000000e-01, 4.92000000e-01, 7.57200000e+00,\n", - " 5.16000000e-01, 4.80000000e-01, 4.56000000e-01, 5.28000000e-01,\n", - " 2.76000000e-01, 6.13200000e+00, 3.48000000e+00, 1.08000000e+00,\n", - " 1.64400000e+00, 5.76000000e-01, 1.08000000e-01, 3.07200000e+00,\n", - " 1.92000000e+00, 4.38000000e+00, 4.32000000e-01, 7.68000000e-01,\n", - " 2.76000000e-01, 4.44000000e-01, 9.00000000e-01, 3.44400000e+00,\n", - " 9.72000000e-01, 3.54000000e+00, 1.35600000e+00, 5.04000000e-01,\n", - " 1.05600000e+00, 1.81200000e+00, 3.02400000e+00, 8.25600000e+00,\n", - " 9.24000000e-01, 4.38000000e+00, 4.08000000e-01, 3.96000000e-01,\n", - " 1.08000000e+00, 2.19600000e+00, 8.40000000e-01, 2.49600000e+00,\n", - " 1.68000000e-01, 5.64000000e-01, 3.12000000e+00, 1.63200000e+00,\n", - " 2.04000000e-01, 3.72000000e-01, 1.30800000e+00, 7.56000000e-01,\n", - " 1.42800000e+00, 9.60000000e-01, 1.32000000e-01, 4.20000000e-01,\n", - " 9.60000000e-02, 1.20000000e-02, 4.87200000e+00, 6.51600000e+00,\n", - " 3.12000000e-01, 2.28000000e-01, 1.44120000e+01, 6.50400000e+00,\n", - " 1.23600000e+00, 4.87200000e+00, 7.56000000e-01, 2.54400000e+00,\n", - " 3.36000000e-01, 3.00000000e-01, 3.39600000e+00, 4.08000000e-01,\n", - " 1.56000000e-01, 2.36400000e+00, 1.33200000e+00, 6.24000000e-01,\n", - " 5.49600000e+00, 1.92000000e-01, 4.44000000e-01, 2.28000000e-01,\n", - " 3.24000000e-01, 1.20000000e-01, 7.50000000e+00, 3.91200000e+00,\n", - " 4.44000000e-01, 2.04000000e-01, 3.19200000e+00, 3.36000000e-01,\n", - " 1.59600000e+00, 1.20000000e-02, 1.47600000e+00, 1.89600000e+00,\n", - " 5.40000000e-01, 1.78800000e+00, 3.00000000e-01, 9.54000000e+00,\n", - " 4.08000000e-01, 3.96000000e-01, 3.72000000e-01, 1.37280000e+01,\n", - " 4.20000000e-01, 9.96000000e-01, 1.08000000e-01, 6.00000000e-02,\n", - " 3.32400000e+00, 1.18800000e+00, 9.60000000e-02, 0.00000000e+00,\n", - " 4.22400000e+00, 2.18400000e+00, 6.28800000e+00, 2.73600000e+00,\n", - " 7.20000000e-02, 4.80000000e-02, 3.60000000e-01, 1.63200000e+00,\n", - " 1.93200000e+00, 3.00000000e-01, 0.00000000e+00, 1.08000000e-01,\n", - " 1.12800000e+00, 2.16000000e-01, 3.84000000e-01, 6.36000000e-01,\n", - " 4.21200000e+00, 2.76000000e+00, 8.40000000e-02, 2.88000000e-01,\n", - " 1.56000000e-01, 1.20000000e-01, 1.20000000e-01, 3.60000000e-01,\n", - " 3.60000000e-01, 4.62000000e+00, 4.40400000e+00, 3.36000000e-01,\n", - " 4.68000000e-01, 1.80000000e-01, 1.32000000e-01, 3.96000000e-01,\n", - " 1.20000000e-01, 1.20000000e-01, 8.16000000e-01, 6.24000000e-01,\n", - " 8.52000000e-01, 1.06800000e+00, 9.10800000e+00, 1.87200000e+00,\n", - " 1.65600000e+00, 1.72800000e+00, 3.22800000e+00, 2.40000000e-01,\n", - " 1.56000000e+00, 4.45200000e+00, 3.12000000e-01, 1.26720000e+01,\n", - " 9.49200000e+00, 5.82000000e+00, 6.48000000e-01, 1.80000000e-01,\n", - " 1.06200000e+01, 2.68800000e+00, 4.47600000e+00, 9.84000000e-01,\n", - " 2.28000000e-01, 3.67200000e+00, 2.95200000e+00, 1.20000000e-01,\n", - " 4.80000000e-02, 3.60000000e-02, 1.08000000e+00, 4.80000000e-02,\n", - " 5.00400000e+00, 1.07280000e+01, 4.80000000e-01, 9.84000000e-01,\n", - " 2.20800000e+00, 6.00000000e-02, 2.76000000e-01, 3.24000000e+00,\n", - " 3.48000000e-01, 5.76000000e-01, 1.23600000e+00, 6.73200000e+00,\n", - " 3.70800000e+00, 7.68000000e-01, 1.21200000e+00, 1.60800000e+00,\n", - " 1.80000000e-01, 8.16000000e-01, 1.03200000e+00, 4.32000000e-01,\n", - " 6.00000000e-02, 6.48000000e-01, 3.12000000e-01, 3.00000000e-01,\n", - " 6.84000000e-01, 8.52000000e-01, 1.26000000e+00, 3.36000000e-01,\n", - " 3.60000000e-02, 4.56000000e-01, 5.79600000e+00, 3.24000000e-01,\n", - " 2.83200000e+00, 2.88000000e-01, 1.03200000e+00, 5.88000000e+00,\n", - " 9.22800000e+00, 2.06400000e+00, 3.93600000e+00, 4.56000000e-01,\n", - " 4.20000000e-01, 3.00000000e-01, 2.19600000e+00, 3.60000000e-01,\n", - " 3.84000000e-01, 2.16000000e-01, 6.00000000e-01, 5.76000000e-01,\n", - " 6.12000000e+00, 1.76400000e+00, 6.96000000e-01, 1.20000000e-02,\n", - " 5.88000000e-01, 2.22000000e+00, 2.55600000e+00, 2.40000000e+00,\n", - " 2.28000000e-01, 8.88000000e-01, 1.68000000e+00, 3.00000000e-01,\n", - " 7.56000000e-01, 4.56000000e-01, 2.04000000e-01, 3.36000000e-01,\n", - " 7.32000000e-01, 5.64000000e-01, 4.92000000e-01, 9.60000000e-02,\n", - " 3.61200000e+00, 4.59600000e+00, 1.80000000e-01, 1.92000000e-01,\n", - " 4.20000000e-01, 1.34160000e+01, 7.26000000e+00, 1.56000000e-01,\n", - " 5.12400000e+00, 2.66400000e+00, 1.20000000e-02, 5.16000000e-01,\n", - " 2.88000000e-01, 2.44800000e+00, 3.60000000e+00, 4.94400000e+00,\n", - " 3.36000000e-01, 9.61200000e+00, 1.64400000e+00, 6.96000000e+00,\n", - " 9.00000000e-01, 1.26000000e+00, 5.36400000e+00, 4.05600000e+00,\n", - " 1.66800000e+00, 1.90800000e+00, 0.00000000e+00, 1.20000000e+00,\n", - " 1.06800000e+00, 1.44000000e-01, 7.20000000e-02, 1.32000000e-01,\n", - " 2.04000000e-01, 3.84000000e-01, 7.92000000e-01, 5.40000000e-01,\n", - " 4.56000000e-01, 2.14800000e+00, 2.34000000e+00, 4.80000000e-02,\n", - " 4.68000000e-01, 6.48000000e-01, 2.88000000e-01, 4.44000000e-01,\n", - " 2.40000000e-01, 7.80000000e-01, 2.00400000e+00, 2.88000000e-01,\n", - " 2.28000000e-01, 1.31520000e+01, 5.16000000e-01, 4.44000000e-01,\n", - " 3.84000000e-01, 2.46000000e+00, 5.64000000e-01, 2.04000000e-01,\n", - " 1.72800000e+00, 4.56000000e-01, 3.18000000e+00, 8.40000000e-01,\n", - " 7.18800000e+00, 5.19600000e+00, 4.92000000e+00, 4.44000000e-01,\n", - " 4.80000000e-02, 5.64000000e-01, 1.32000000e-01, 3.24000000e-01,\n", - " 6.67200000e+00, 3.48000000e-01, 3.60000000e-02, 1.92000000e-01,\n", - " 4.46400000e+00, 1.12800000e+00, 2.64000000e-01, 9.12000000e-01,\n", - " 4.41600000e+00, 8.01600000e+00, 1.46880000e+01, 1.70400000e+00,\n", - " 7.72800000e+00, 1.03800000e+01, 9.00000000e-01, 4.68000000e-01,\n", - " 1.26000000e+00, 1.76160000e+01, 9.40800000e+00, 4.80000000e-02,\n", - " 5.40000000e-01, 7.92000000e-01, 3.36000000e-01, 1.53600000e+00,\n", - " 6.96000000e-01, 1.20000000e+00, 1.33200000e+00, 7.09200000e+00,\n", - " 1.66800000e+00, 9.60000000e-02, 2.01600000e+00, 3.18000000e+00,\n", - " 1.90800000e+00, 1.66800000e+00, 1.08000000e-01, 9.24000000e-01,\n", - " 5.64000000e-01, 2.04000000e-01, 1.08000000e-01, 8.86800000e+00,\n", - " 6.48000000e-01, 2.52000000e-01, 8.40000000e-01, 1.60800000e+00,\n", - " 9.49200000e+00, 5.30400000e+00, 8.28000000e-01, 1.15200000e+00,\n", - " 4.65600000e+00, 6.60000000e-01, 1.12800000e+00, 3.60000000e+00,\n", - " 3.04800000e+00, 4.44000000e-01, 5.53200000e+00, 5.04000000e-01,\n", - " 1.10160000e+01, 5.88000000e-01, 1.76400000e+00, 8.40000000e-02,\n", - " 6.00000000e-02, 1.56000000e-01, 9.12000000e-01, 6.12000000e-01,\n", - " 9.84000000e-01, 5.40000000e-01, 4.20000000e-01, 5.16000000e-01,\n", - " 1.81200000e+00, 6.24000000e-01, 2.52000000e-01, 2.40000000e+00,\n", - " 2.04000000e-01, 7.70400000e+00, 1.86000000e+00, 1.89600000e+00,\n", - " 4.44000000e-01, 6.96000000e-01, 2.64000000e-01, 8.56800000e+00,\n", - " 3.36000000e-01, 1.56000000e-01, 1.78800000e+00, 1.58880000e+01,\n", - " 2.40000000e-01, 3.84000000e-01, 4.80000000e-02, 7.34400000e+00,\n", - " 1.20000000e-01, 1.65600000e+00, 2.40000000e-01, 6.61200000e+00,\n", - " 2.68800000e+00, 1.08000000e-01, 2.40000000e-02, 4.44000000e+00,\n", - " 8.40000000e-02, 7.32000000e-01, 2.44800000e+00, 6.48000000e-01,\n", - " 2.96400000e+00, 9.96000000e-01, 2.11200000e+00, 3.36000000e-01,\n", - " 6.24000000e-01, 1.08000000e-01, 9.13200000e+00, 9.36000000e+00,\n", - " 2.02800000e+00, 4.98000000e+00, 1.02240000e+01, 3.96000000e-01,\n", - " 6.00000000e-02, 2.04000000e-01, 4.20000000e-01, 5.40000000e-01,\n", - " 1.80000000e-01, 7.20000000e-02, 3.96000000e-01, 9.60000000e-01,\n", - " 1.33200000e+00, 3.96000000e-01, 2.16000000e-01, 2.04000000e-01,\n", - " 2.76000000e-01, 3.60000000e-02, 8.88000000e-01, 4.56000000e-01,\n", - " 2.16000000e-01, 1.11600000e+00, 9.60000000e-02, 1.71600000e+00,\n", - " 2.92800000e+00, 1.06800000e+00, 2.78400000e+00, 5.05200000e+00,\n", - " 1.59600000e+00, 7.68000000e+00, 8.40000000e-01, 1.47600000e+00,\n", - " 2.88000000e+00, 1.16400000e+00, 5.52000000e-01, 6.96000000e-01,\n", - " 3.12000000e-01, 3.96000000e-01, 1.20000000e-02, 4.44000000e-01,\n", - " 2.04000000e-01, 1.08000000e-01, 4.92000000e-01, 2.24400000e+00,\n", - " 5.28000000e-01, 4.32000000e-01, 1.80000000e-01, 7.80000000e-01,\n", - " 5.13600000e+00, 2.17200000e+00, 5.88000000e-01, 1.42800000e+00,\n", - " 4.20000000e-01, 1.05600000e+01, 7.44000000e-01, 3.58800000e+00,\n", - " 7.20000000e-01, 9.12000000e-01, 3.72000000e-01, 1.05600000e+00,\n", - " 5.52000000e-01, 3.96000000e-01, 1.34400000e+00, 7.20000000e-02,\n", - " 2.16000000e-01, 5.64000000e-01, 4.20000000e-01, 5.52000000e-01,\n", - " 1.56000000e-01, 8.04000000e-01, 4.80000000e+00, 1.38000000e+00,\n", - " 2.17200000e+00, 1.30800000e+00, 7.56000000e-01, 1.65600000e+00,\n", - " 5.53200000e+00, 4.21200000e+00, 3.12000000e-01, 1.24800000e+00,\n", - " 6.36000000e-01, 8.28000000e-01, 1.87200000e+00, 3.56400000e+00,\n", - " 3.60000000e-02, 6.00000000e-02, 4.23600000e+00, 4.36800000e+00,\n", - " 6.72000000e-01, 8.40000000e-02, 4.68000000e-01, 3.12000000e-01,\n", - " 3.60000000e-02, 8.40000000e-02, 3.60000000e-01, 4.20000000e-01,\n", - " 4.76400000e+00, 2.30400000e+00, 2.52000000e-01, 7.08000000e-01,\n", - " 4.94400000e+00, 2.88000000e-01, 8.97600000e+00, 4.32000000e-01,\n", - " 6.46800000e+00, 5.88000000e-01, 2.55600000e+00, 4.80000000e-02,\n", - " 1.56000000e-01, 4.08000000e-01, 1.68000000e-01, 2.72400000e+00,\n", - " 1.65600000e+00, 1.30800000e+00, 1.92000000e-01, 5.16000000e-01,\n", - " 3.60000000e-02, 2.20800000e+00, 6.12000000e-01, 7.20000000e-02,\n", - " 1.00800000e+00, 3.51600000e+00, 1.24800000e+00, 1.20000000e-02,\n", - " 5.20800000e+00, 3.60000000e-01, 3.67200000e+00, 6.00000000e-02,\n", - " 3.60000000e-02, 4.68000000e-01, 2.18400000e+00, 3.36000000e-01,\n", - " 9.12000000e-01, 2.12400000e+00, 1.08000000e-01, 1.44000000e-01,\n", - " 7.58400000e+00, 4.80000000e-02, 4.80000000e-02, 3.84000000e-01,\n", - " 4.44000000e-01, 3.84000000e-01, 1.32000000e-01, 6.48000000e-01,\n", - " 5.52000000e-01, 7.68000000e-01, 5.76000000e-01, 1.65600000e+00,\n", - " 2.98800000e+00, 2.28000000e-01, 1.20000000e-01, 3.12000000e-01,\n", - " 5.16000000e-01, 5.28000000e-01, 1.72800000e+00, 2.04000000e-01,\n", - " 1.08000000e-01, 5.88000000e-01, 3.06000000e+00, 9.96000000e-01,\n", - " 5.64000000e-01, 2.12640000e+01, 2.40000000e-02, 2.64000000e-01,\n", - " 2.52000000e-01, 7.20000000e-02, 8.40000000e-02, 1.08000000e-01,\n", - " 9.60000000e-02, 6.96000000e-01, 1.68000000e-01, 2.23200000e+00,\n", - " 1.15440000e+01, 6.60000000e-01, 2.28000000e-01, 7.80000000e-01,\n", - " 4.16400000e+00, 3.24000000e-01, 2.04000000e-01, 9.00000000e-01,\n", - " 1.80000000e-01, 1.04400000e+00, 1.77600000e+00, 1.45200000e+00,\n", - " 1.32000000e-01, 6.72000000e-01, 4.68000000e-01, 3.48000000e-01,\n", - " 5.64000000e-01, 3.14400000e+00, 6.72000000e-01, 1.09200000e+00,\n", - " 1.77600000e+00, 2.16000000e+00, 1.68000000e-01, 4.80000000e-01,\n", - " 1.99200000e+00, 1.82400000e+00, 6.50400000e+00, 1.56000000e-01,\n", - " 2.38800000e+00, 2.88000000e-01, 7.08000000e-01, 9.96000000e-01,\n", - " 2.40000000e-01, 9.96000000e-01, 3.60000000e-01, 3.00000000e-01,\n", - " 8.40000000e-01, 9.48000000e-01, 2.16000000e-01, 9.60000000e-02,\n", - " 7.68000000e-01, 1.35600000e+00, 8.52000000e-01, 5.64000000e-01,\n", - " 3.24000000e-01, 3.60000000e-02, 1.36800000e+00, 3.85200000e+00,\n", - " 5.16000000e-01, 2.64000000e-01, 1.20000000e-02, 7.92000000e-01,\n", - " 5.64000000e-01, 1.80000000e-01, 2.16000000e-01, 9.48000000e-01,\n", - " 2.88000000e-01, 6.14400000e+00, 5.64000000e-01, 2.16000000e-01,\n", - " 0.00000000e+00, 1.22400000e+00, 2.88000000e-01, 3.84000000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.48624525e+03, -2.52731782e+03, 2.30937384e+01, -5.72658887e+01,\n", - " 0.00000000e+00, 0.00000000e+00, -2.68073425e+01, 0.00000000e+00,\n", - " 0.00000000e+00, -1.67616996e+02, 0.00000000e+00, -5.31985683e+02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 8.04000000e-01, 3.75600000e+00, 7.33200000e+00, 5.19600000e+00,\n", - " 2.76000000e-01, 5.04000000e-01, 3.36000000e-01, 7.08000000e-01,\n", - " 1.16400000e+00, 1.80000000e-01, 7.08000000e-01, 5.64000000e-01,\n", - " 1.26240000e+01, 4.80000000e-02, 1.68000000e-01, 1.08000000e-01,\n", - " 6.30000000e+00, 4.53600000e+00, 6.84000000e-01, 1.06800000e+00,\n", - " 2.52000000e-01, 1.32000000e-01, 7.20000000e-02, 0.00000000e+00,\n", - " 2.40000000e-01, 7.92000000e-01, 6.00000000e-02, 4.62000000e+00,\n", - " 9.00000000e-01, 3.70800000e+00, 1.96800000e+00, 1.50000000e+00,\n", - " 1.65600000e+00, 7.20000000e-02, 0.00000000e+00, 8.40000000e-02,\n", - " 9.36000000e-01, 4.32000000e-01, 2.16000000e-01, 1.56000000e-01,\n", - " 5.40000000e-01, 5.04000000e-01, 1.35600000e+00, 2.85600000e+00,\n", - " 4.56000000e-01, 4.74000000e+00, 1.50000000e+00, 6.03600000e+00,\n", - " 7.56000000e-01, 2.10960000e+01, 1.32000000e-01, 1.68000000e-01,\n", - " 5.52000000e-01, 3.96000000e-01, 8.88000000e-01, 2.16000000e-01,\n", - " 7.92000000e-01, 6.31200000e+00, 1.09560000e+01, 2.94000000e+00,\n", - " 2.05200000e+00, 1.80000000e+00, 7.20000000e-01, 3.07200000e+00,\n", - " 3.72000000e-01, 3.00000000e-01, 2.92800000e+00, 2.49600000e+00,\n", - " 1.20000000e-01, 0.00000000e+00, 5.52000000e-01, 5.64000000e-01,\n", - " 4.80000000e-02, 1.32000000e-01, 1.00800000e+00, 2.06400000e+00,\n", - " 1.22400000e+00, 3.96000000e-01, 4.08000000e-01, 3.02400000e+00,\n", - " 7.03200000e+00, 6.25200000e+00, 1.36800000e+00, 2.20800000e+00,\n", - " 2.58000000e+00, 2.88000000e+00, 3.24000000e-01, 6.72000000e-01,\n", - " 1.20000000e-01, 1.44000000e-01, 2.16000000e-01, 0.00000000e+00,\n", - " 6.00000000e-02, 1.68000000e-01, 2.43600000e+00, 6.36000000e-01,\n", - " 7.20000000e-02, 0.00000000e+00, 1.80000000e-01, 1.95600000e+00,\n", - " 1.56000000e+00, 5.56800000e+00, 7.29600000e+00, 1.35600000e+00,\n", - " 2.16000000e-01, 1.08000000e-01, 5.64000000e-01, 1.08000000e-01,\n", - " 3.22800000e+00, 2.50800000e+00, 7.68000000e-01, 6.24000000e-01,\n", - " 6.54000000e+00, 1.32000000e+00, 0.00000000e+00, 3.15600000e+00,\n", - " 2.07600000e+00, 1.02480000e+01, 1.65600000e+00, 4.90800000e+00,\n", - " 1.02000000e+00, 1.39200000e+00, 3.80400000e+00, 6.38400000e+00,\n", - " 5.71200000e+00, 1.14360000e+01, 1.70400000e+00, 7.32000000e-01,\n", - " 4.86000000e+00, 6.02400000e+00, 2.05200000e+00, 1.12800000e+00,\n", - " 2.40000000e-01, 9.60000000e-01, 1.78800000e+00, 1.24800000e+00,\n", - " 1.05600000e+00, 3.12000000e+00, 8.88000000e-01, 3.00000000e-01,\n", - " 5.96400000e+00, 5.07600000e+00, 4.45200000e+00, 4.65600000e+00,\n", - " 7.08000000e-01, 8.04000000e-01, 1.56000000e-01, 4.20000000e-01,\n", - " 8.64000000e-01, 1.65600000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.19160000e+01, 1.73280000e+01, 3.76200000e+01, 9.84000000e-01,\n", - " 1.08000000e+00, 5.88000000e-01, 1.32000000e-01, 1.44000000e-01,\n", - " 3.60000000e-01, 3.12000000e-01, 1.93200000e+00, 1.76400000e+00,\n", - " 1.65600000e+00, 4.80000000e-01, 1.24320000e+01, 2.27640000e+01,\n", - " 3.48000000e-01, 3.00000000e-01, 8.04000000e-01, 3.24000000e-01,\n", - " 3.60000000e-01, 8.52000000e-01, 1.60800000e+00, 5.76000000e-01,\n", - " 8.16000000e-01, 8.40000000e-01, 1.08000000e-01, 2.05200000e+00,\n", - " 2.64000000e-01, 6.36000000e-01, 7.56000000e-01, 1.95600000e+00,\n", - " 1.52400000e+00, 1.32000000e-01, 2.26800000e+00, 6.84000000e-01,\n", - " 4.92000000e-01, 5.40000000e-01, 1.27200000e+00, 6.48000000e-01,\n", - " 1.40400000e+00, 7.20000000e-02, 6.60000000e-01, 4.08000000e-01,\n", - " 5.76000000e-01, 2.04000000e-01, 2.35080000e+01, 6.00000000e-01,\n", - " 5.28000000e-01, 2.40000000e+01, 8.64000000e-01, 1.56000000e-01,\n", - " 0.00000000e+00, 1.56000000e-01, 7.20000000e-02, 6.00000000e-01,\n", - " 8.28000000e-01, 1.68000000e-01, 6.36000000e-01, 7.92000000e+00,\n", - " 5.05200000e+00, 6.10800000e+00, 2.13120000e+01, 1.85040000e+01,\n", - " 5.04000000e-01, 2.88000000e-01, 4.84800000e+00, 3.12000000e+00,\n", - " 1.05480000e+01, 7.48800000e+00, 1.08000000e-01, 2.64000000e+00,\n", - " 7.56000000e-01, 1.07160000e+01, 6.00000000e-02, 8.40000000e-02,\n", - " 1.32000000e-01, 6.00000000e-02, 3.78000000e+00, 2.98800000e+00,\n", - " 3.00000000e+00, 9.42000000e+00, 4.92000000e-01, 1.20000000e-01,\n", - " 4.69200000e+00, 1.56000000e-01, 4.92000000e-01, 7.57200000e+00,\n", - " 5.16000000e-01, 4.80000000e-01, 4.56000000e-01, 5.28000000e-01,\n", - " 2.76000000e-01, 6.13200000e+00, 3.48000000e+00, 1.08000000e+00,\n", - " 1.64400000e+00, 5.76000000e-01, 1.08000000e-01, 3.07200000e+00,\n", - " 1.92000000e+00, 4.38000000e+00, 4.32000000e-01, 7.68000000e-01,\n", - " 2.76000000e-01, 4.44000000e-01, 9.00000000e-01, 3.44400000e+00,\n", - " 9.72000000e-01, 3.54000000e+00, 1.35600000e+00, 5.04000000e-01,\n", - " 1.05600000e+00, 1.81200000e+00, 3.02400000e+00, 8.25600000e+00,\n", - " 9.24000000e-01, 4.38000000e+00, 4.08000000e-01, 3.96000000e-01,\n", - " 1.08000000e+00, 2.19600000e+00, 8.40000000e-01, 2.49600000e+00,\n", - " 1.68000000e-01, 5.64000000e-01, 3.12000000e+00, 1.63200000e+00,\n", - " 2.04000000e-01, 3.72000000e-01, 1.30800000e+00, 7.56000000e-01,\n", - " 1.42800000e+00, 9.60000000e-01, 1.32000000e-01, 4.20000000e-01,\n", - " 9.60000000e-02, 1.20000000e-02, 4.87200000e+00, 6.51600000e+00,\n", - " 3.12000000e-01, 2.28000000e-01, 1.44120000e+01, 6.50400000e+00,\n", - " 1.23600000e+00, 4.87200000e+00, 7.56000000e-01, 2.54400000e+00,\n", - " 3.36000000e-01, 3.00000000e-01, 3.39600000e+00, 4.08000000e-01,\n", - " 1.56000000e-01, 2.36400000e+00, 1.33200000e+00, 6.24000000e-01,\n", - " 5.49600000e+00, 1.92000000e-01, 4.44000000e-01, 2.28000000e-01,\n", - " 3.24000000e-01, 1.20000000e-01, 7.50000000e+00, 3.91200000e+00,\n", - " 4.44000000e-01, 2.04000000e-01, 3.19200000e+00, 3.36000000e-01,\n", - " 1.59600000e+00, 1.20000000e-02, 1.47600000e+00, 1.89600000e+00,\n", - " 5.40000000e-01, 1.78800000e+00, 3.00000000e-01, 9.54000000e+00,\n", - " 4.08000000e-01, 3.96000000e-01, 3.72000000e-01, 1.37280000e+01,\n", - " 4.20000000e-01, 9.96000000e-01, 1.08000000e-01, 6.00000000e-02,\n", - " 3.32400000e+00, 1.18800000e+00, 9.60000000e-02, 0.00000000e+00,\n", - " 4.22400000e+00, 2.18400000e+00, 6.28800000e+00, 2.73600000e+00,\n", - " 7.20000000e-02, 4.80000000e-02, 3.60000000e-01, 1.63200000e+00,\n", - " 1.93200000e+00, 3.00000000e-01, 0.00000000e+00, 1.08000000e-01,\n", - " 1.12800000e+00, 2.16000000e-01, 3.84000000e-01, 6.36000000e-01,\n", - " 4.21200000e+00, 2.76000000e+00, 8.40000000e-02, 2.88000000e-01,\n", - " 1.56000000e-01, 1.20000000e-01, 1.20000000e-01, 3.60000000e-01,\n", - " 3.60000000e-01, 4.62000000e+00, 4.40400000e+00, 3.36000000e-01,\n", - " 4.68000000e-01, 1.80000000e-01, 1.32000000e-01, 3.96000000e-01,\n", - " 1.20000000e-01, 1.20000000e-01, 8.16000000e-01, 6.24000000e-01,\n", - " 8.52000000e-01, 1.06800000e+00, 9.10800000e+00, 1.87200000e+00,\n", - " 1.65600000e+00, 1.72800000e+00, 3.22800000e+00, 2.40000000e-01,\n", - " 1.56000000e+00, 4.45200000e+00, 3.12000000e-01, 1.26720000e+01,\n", - " 9.49200000e+00, 5.82000000e+00, 6.48000000e-01, 1.80000000e-01,\n", - " 1.06200000e+01, 2.68800000e+00, 4.47600000e+00, 9.84000000e-01,\n", - " 2.28000000e-01, 3.67200000e+00, 2.95200000e+00, 1.20000000e-01,\n", - " 4.80000000e-02, 3.60000000e-02, 1.08000000e+00, 4.80000000e-02,\n", - " 5.00400000e+00, 1.07280000e+01, 4.80000000e-01, 9.84000000e-01,\n", - " 2.20800000e+00, 6.00000000e-02, 2.76000000e-01, 3.24000000e+00,\n", - " 3.48000000e-01, 5.76000000e-01, 1.23600000e+00, 6.73200000e+00,\n", - " 3.70800000e+00, 7.68000000e-01, 1.21200000e+00, 1.60800000e+00,\n", - " 1.80000000e-01, 8.16000000e-01, 1.03200000e+00, 4.32000000e-01,\n", - " 6.00000000e-02, 6.48000000e-01, 3.12000000e-01, 3.00000000e-01,\n", - " 6.84000000e-01, 8.52000000e-01, 1.26000000e+00, 3.36000000e-01,\n", - " 3.60000000e-02, 4.56000000e-01, 5.79600000e+00, 3.24000000e-01,\n", - " 2.83200000e+00, 2.88000000e-01, 1.03200000e+00, 5.88000000e+00,\n", - " 9.22800000e+00, 2.06400000e+00, 3.93600000e+00, 4.56000000e-01,\n", - " 4.20000000e-01, 3.00000000e-01, 2.19600000e+00, 3.60000000e-01,\n", - " 3.84000000e-01, 2.16000000e-01, 6.00000000e-01, 5.76000000e-01,\n", - " 6.12000000e+00, 1.76400000e+00, 6.96000000e-01, 1.20000000e-02,\n", - " 5.88000000e-01, 2.22000000e+00, 2.55600000e+00, 2.40000000e+00,\n", - " 2.28000000e-01, 8.88000000e-01, 1.68000000e+00, 3.00000000e-01,\n", - " 7.56000000e-01, 4.56000000e-01, 2.04000000e-01, 3.36000000e-01,\n", - " 7.32000000e-01, 5.64000000e-01, 4.92000000e-01, 9.60000000e-02,\n", - " 3.61200000e+00, 4.59600000e+00, 1.80000000e-01, 1.92000000e-01,\n", - " 4.20000000e-01, 1.34160000e+01, 7.26000000e+00, 1.56000000e-01,\n", - " 5.12400000e+00, 2.66400000e+00, 1.20000000e-02, 5.16000000e-01,\n", - " 2.88000000e-01, 2.44800000e+00, 3.60000000e+00, 4.94400000e+00,\n", - " 3.36000000e-01, 9.61200000e+00, 1.64400000e+00, 6.96000000e+00,\n", - " 9.00000000e-01, 1.26000000e+00, 5.36400000e+00, 4.05600000e+00,\n", - " 1.66800000e+00, 1.90800000e+00, 0.00000000e+00, 1.20000000e+00,\n", - " 1.06800000e+00, 1.44000000e-01, 7.20000000e-02, 1.32000000e-01,\n", - " 2.04000000e-01, 3.84000000e-01, 7.92000000e-01, 5.40000000e-01,\n", - " 4.56000000e-01, 2.14800000e+00, 2.34000000e+00, 4.80000000e-02,\n", - " 4.68000000e-01, 6.48000000e-01, 2.88000000e-01, 4.44000000e-01,\n", - " 2.40000000e-01, 7.80000000e-01, 2.00400000e+00, 2.88000000e-01,\n", - " 2.28000000e-01, 1.31520000e+01, 5.16000000e-01, 4.44000000e-01,\n", - " 3.84000000e-01, 2.46000000e+00, 5.64000000e-01, 2.04000000e-01,\n", - " 1.72800000e+00, 4.56000000e-01, 3.18000000e+00, 8.40000000e-01,\n", - " 7.18800000e+00, 5.19600000e+00, 4.92000000e+00, 4.44000000e-01,\n", - " 4.80000000e-02, 5.64000000e-01, 1.32000000e-01, 3.24000000e-01,\n", - " 6.67200000e+00, 3.48000000e-01, 3.60000000e-02, 1.92000000e-01,\n", - " 4.46400000e+00, 1.12800000e+00, 2.64000000e-01, 9.12000000e-01,\n", - " 4.41600000e+00, 8.01600000e+00, 1.46880000e+01, 1.70400000e+00,\n", - " 7.72800000e+00, 1.03800000e+01, 9.00000000e-01, 4.68000000e-01,\n", - " 1.26000000e+00, 1.76160000e+01, 9.40800000e+00, 4.80000000e-02,\n", - " 5.40000000e-01, 7.92000000e-01, 3.36000000e-01, 1.53600000e+00,\n", - " 6.96000000e-01, 1.20000000e+00, 1.33200000e+00, 7.09200000e+00,\n", - " 1.66800000e+00, 9.60000000e-02, 2.01600000e+00, 3.18000000e+00,\n", - " 1.90800000e+00, 1.66800000e+00, 1.08000000e-01, 9.24000000e-01,\n", - " 5.64000000e-01, 2.04000000e-01, 1.08000000e-01, 8.86800000e+00,\n", - " 6.48000000e-01, 2.52000000e-01, 8.40000000e-01, 1.60800000e+00,\n", - " 9.49200000e+00, 5.30400000e+00, 8.28000000e-01, 1.15200000e+00,\n", - " 4.65600000e+00, 6.60000000e-01, 1.12800000e+00, 3.60000000e+00,\n", - " 3.04800000e+00, 4.44000000e-01, 5.53200000e+00, 5.04000000e-01,\n", - " 1.10160000e+01, 5.88000000e-01, 1.76400000e+00, 8.40000000e-02,\n", - " 6.00000000e-02, 1.56000000e-01, 9.12000000e-01, 6.12000000e-01,\n", - " 9.84000000e-01, 5.40000000e-01, 4.20000000e-01, 5.16000000e-01,\n", - " 1.81200000e+00, 6.24000000e-01, 2.52000000e-01, 2.40000000e+00,\n", - " 2.04000000e-01, 7.70400000e+00, 1.86000000e+00, 1.89600000e+00,\n", - " 4.44000000e-01, 6.96000000e-01, 2.64000000e-01, 8.56800000e+00,\n", - " 3.36000000e-01, 1.56000000e-01, 1.78800000e+00, 1.58880000e+01,\n", - " 2.40000000e-01, 3.84000000e-01, 4.80000000e-02, 7.34400000e+00,\n", - " 1.20000000e-01, 1.65600000e+00, 2.40000000e-01, 6.61200000e+00,\n", - " 2.68800000e+00, 1.08000000e-01, 2.40000000e-02, 4.44000000e+00,\n", - " 8.40000000e-02, 7.32000000e-01, 2.44800000e+00, 6.48000000e-01,\n", - " 2.96400000e+00, 9.96000000e-01, 2.11200000e+00, 3.36000000e-01,\n", - " 6.24000000e-01, 1.08000000e-01, 9.13200000e+00, 9.36000000e+00,\n", - " 2.02800000e+00, 4.98000000e+00, 1.02240000e+01, 3.96000000e-01,\n", - " 6.00000000e-02, 2.04000000e-01, 4.20000000e-01, 5.40000000e-01,\n", - " 1.80000000e-01, 7.20000000e-02, 3.96000000e-01, 9.60000000e-01,\n", - " 1.33200000e+00, 3.96000000e-01, 2.16000000e-01, 2.04000000e-01,\n", - " 2.76000000e-01, 3.60000000e-02, 8.88000000e-01, 4.56000000e-01,\n", - " 2.16000000e-01, 1.11600000e+00, 9.60000000e-02, 1.71600000e+00,\n", - " 2.92800000e+00, 1.06800000e+00, 2.78400000e+00, 5.05200000e+00,\n", - " 1.59600000e+00, 7.68000000e+00, 8.40000000e-01, 1.47600000e+00,\n", - " 2.88000000e+00, 1.16400000e+00, 5.52000000e-01, 6.96000000e-01,\n", - " 3.12000000e-01, 3.96000000e-01, 1.20000000e-02, 4.44000000e-01,\n", - " 2.04000000e-01, 1.08000000e-01, 4.92000000e-01, 2.24400000e+00,\n", - " 5.28000000e-01, 4.32000000e-01, 1.80000000e-01, 7.80000000e-01,\n", - " 5.13600000e+00, 2.17200000e+00, 5.88000000e-01, 1.42800000e+00,\n", - " 4.20000000e-01, 1.05600000e+01, 7.44000000e-01, 3.58800000e+00,\n", - " 7.20000000e-01, 9.12000000e-01, 3.72000000e-01, 1.05600000e+00,\n", - " 5.52000000e-01, 3.96000000e-01, 1.34400000e+00, 7.20000000e-02,\n", - " 2.16000000e-01, 5.64000000e-01, 4.20000000e-01, 5.52000000e-01,\n", - " 1.56000000e-01, 8.04000000e-01, 4.80000000e+00, 1.38000000e+00,\n", - " 2.17200000e+00, 1.30800000e+00, 7.56000000e-01, 1.65600000e+00,\n", - " 5.53200000e+00, 4.21200000e+00, 3.12000000e-01, 1.24800000e+00,\n", - " 6.36000000e-01, 8.28000000e-01, 1.87200000e+00, 3.56400000e+00,\n", - " 3.60000000e-02, 6.00000000e-02, 4.23600000e+00, 4.36800000e+00,\n", - " 6.72000000e-01, 8.40000000e-02, 4.68000000e-01, 3.12000000e-01,\n", - " 3.60000000e-02, 8.40000000e-02, 3.60000000e-01, 4.20000000e-01,\n", - " 4.76400000e+00, 2.30400000e+00, 2.52000000e-01, 7.08000000e-01,\n", - " 4.94400000e+00, 2.88000000e-01, 8.97600000e+00, 4.32000000e-01,\n", - " 6.46800000e+00, 5.88000000e-01, 2.55600000e+00, 4.80000000e-02,\n", - " 1.56000000e-01, 4.08000000e-01, 1.68000000e-01, 2.72400000e+00,\n", - " 1.65600000e+00, 1.30800000e+00, 1.92000000e-01, 5.16000000e-01,\n", - " 3.60000000e-02, 2.20800000e+00, 6.12000000e-01, 7.20000000e-02,\n", - " 1.00800000e+00, 3.51600000e+00, 1.24800000e+00, 1.20000000e-02,\n", - " 5.20800000e+00, 3.60000000e-01, 3.67200000e+00, 6.00000000e-02,\n", - " 3.60000000e-02, 4.68000000e-01, 2.18400000e+00, 3.36000000e-01,\n", - " 9.12000000e-01, 2.12400000e+00, 1.08000000e-01, 1.44000000e-01,\n", - " 7.58400000e+00, 4.80000000e-02, 4.80000000e-02, 3.84000000e-01,\n", - " 4.44000000e-01, 3.84000000e-01, 1.32000000e-01, 6.48000000e-01,\n", - " 5.52000000e-01, 7.68000000e-01, 5.76000000e-01, 1.65600000e+00,\n", - " 2.98800000e+00, 2.28000000e-01, 1.20000000e-01, 3.12000000e-01,\n", - " 5.16000000e-01, 5.28000000e-01, 1.72800000e+00, 2.04000000e-01,\n", - " 1.08000000e-01, 5.88000000e-01, 3.06000000e+00, 9.96000000e-01,\n", - " 5.64000000e-01, 2.12640000e+01, 2.40000000e-02, 2.64000000e-01,\n", - " 2.52000000e-01, 7.20000000e-02, 8.40000000e-02, 1.08000000e-01,\n", - " 9.60000000e-02, 6.96000000e-01, 1.68000000e-01, 2.23200000e+00,\n", - " 1.15440000e+01, 6.60000000e-01, 2.28000000e-01, 7.80000000e-01,\n", - " 4.16400000e+00, 3.24000000e-01, 2.04000000e-01, 9.00000000e-01,\n", - " 1.80000000e-01, 1.04400000e+00, 1.77600000e+00, 1.45200000e+00,\n", - " 1.32000000e-01, 6.72000000e-01, 4.68000000e-01, 3.48000000e-01,\n", - " 5.64000000e-01, 3.14400000e+00, 6.72000000e-01, 1.09200000e+00,\n", - " 1.77600000e+00, 2.16000000e+00, 1.68000000e-01, 4.80000000e-01,\n", - " 1.99200000e+00, 1.82400000e+00, 6.50400000e+00, 1.56000000e-01,\n", - " 2.38800000e+00, 2.88000000e-01, 7.08000000e-01, 9.96000000e-01,\n", - " 2.40000000e-01, 9.96000000e-01, 3.60000000e-01, 3.00000000e-01,\n", - " 8.40000000e-01, 9.48000000e-01, 2.16000000e-01, 9.60000000e-02,\n", - " 7.68000000e-01, 1.35600000e+00, 8.52000000e-01, 5.64000000e-01,\n", - " 3.24000000e-01, 3.60000000e-02, 1.36800000e+00, 3.85200000e+00,\n", - " 5.16000000e-01, 2.64000000e-01, 1.20000000e-02, 7.92000000e-01,\n", - " 5.64000000e-01, 1.80000000e-01, 2.16000000e-01, 9.48000000e-01,\n", - " 2.88000000e-01, 6.14400000e+00, 5.64000000e-01, 2.16000000e-01,\n", - " 0.00000000e+00, 1.22400000e+00, 2.88000000e-01, 3.84000000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.46240250e+03, -2.52731782e+03, 2.16898573e+01, -5.78656432e+01,\n", - " 0.00000000e+00, 0.00000000e+00, -2.74591184e+01, 0.00000000e+00,\n", - " 0.00000000e+00, -2.82099268e+01, 0.00000000e+00, -6.44893919e+02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 8.70330000e-01, 4.06587000e+00, 7.93689000e+00, 5.62467000e+00,\n", - " 2.98770000e-01, 5.45580000e-01, 3.63720000e-01, 7.66410000e-01,\n", - " 1.26003000e+00, 1.94850000e-01, 7.66410000e-01, 6.10530000e-01,\n", - " 1.36654800e+01, 5.19600000e-02, 1.81860000e-01, 1.16910000e-01,\n", - " 6.81975000e+00, 4.91022000e+00, 7.40430000e-01, 1.15611000e+00,\n", - " 2.72790000e-01, 1.42890000e-01, 7.79400000e-02, 0.00000000e+00,\n", - " 2.59800000e-01, 8.57340000e-01, 6.49500000e-02, 5.00115000e+00,\n", - " 9.74250000e-01, 4.01391000e+00, 2.13036000e+00, 1.62375000e+00,\n", - " 1.79262000e+00, 7.79400000e-02, 0.00000000e+00, 9.09300000e-02,\n", - " 1.01322000e+00, 4.67640000e-01, 2.33820000e-01, 1.68870000e-01,\n", - " 5.84550000e-01, 5.45580000e-01, 1.46787000e+00, 3.09162000e+00,\n", - " 4.93620000e-01, 5.13105000e+00, 1.62375000e+00, 6.53397000e+00,\n", - " 8.18370000e-01, 2.28364200e+01, 1.42890000e-01, 1.81860000e-01,\n", - " 5.97540000e-01, 4.28670000e-01, 9.61260000e-01, 2.33820000e-01,\n", - " 8.57340000e-01, 6.83274000e+00, 1.18598700e+01, 3.18255000e+00,\n", - " 2.22129000e+00, 1.94850000e+00, 7.79400000e-01, 3.32544000e+00,\n", - " 4.02690000e-01, 3.24750000e-01, 3.16956000e+00, 2.70192000e+00,\n", - " 1.29900000e-01, 0.00000000e+00, 5.97540000e-01, 6.10530000e-01,\n", - " 5.19600000e-02, 1.42890000e-01, 1.09116000e+00, 2.23428000e+00,\n", - " 1.32498000e+00, 4.28670000e-01, 4.41660000e-01, 3.27348000e+00,\n", - " 7.61214000e+00, 6.76779000e+00, 1.48086000e+00, 2.39016000e+00,\n", - " 2.79285000e+00, 3.11760000e+00, 3.50730000e-01, 7.27440000e-01,\n", - " 1.29900000e-01, 1.55880000e-01, 2.33820000e-01, 0.00000000e+00,\n", - " 6.49500000e-02, 1.81860000e-01, 2.63697000e+00, 6.88470000e-01,\n", - " 7.79400000e-02, 0.00000000e+00, 1.94850000e-01, 2.11737000e+00,\n", - " 1.68870000e+00, 6.02736000e+00, 7.89792000e+00, 1.46787000e+00,\n", - " 2.33820000e-01, 1.16910000e-01, 6.10530000e-01, 1.16910000e-01,\n", - " 3.49431000e+00, 2.71491000e+00, 8.31360000e-01, 6.75480000e-01,\n", - " 7.07955000e+00, 1.42890000e+00, 0.00000000e+00, 3.41637000e+00,\n", - " 2.24727000e+00, 1.10934600e+01, 1.79262000e+00, 5.31291000e+00,\n", - " 1.10415000e+00, 1.50684000e+00, 4.11783000e+00, 6.91068000e+00,\n", - " 6.18324000e+00, 1.23794700e+01, 1.84458000e+00, 7.92390000e-01,\n", - " 5.26095000e+00, 6.52098000e+00, 2.22129000e+00, 1.22106000e+00,\n", - " 2.59800000e-01, 1.03920000e+00, 1.93551000e+00, 1.35096000e+00,\n", - " 1.14312000e+00, 3.37740000e+00, 9.61260000e-01, 3.24750000e-01,\n", - " 6.45603000e+00, 5.49477000e+00, 4.81929000e+00, 5.04012000e+00,\n", - " 7.66410000e-01, 8.70330000e-01, 1.68870000e-01, 4.54650000e-01,\n", - " 9.35280000e-01, 1.79262000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.28990700e+01, 1.87575600e+01, 4.07236500e+01, 1.06518000e+00,\n", - " 1.16910000e+00, 6.36510000e-01, 1.42890000e-01, 1.55880000e-01,\n", - " 3.89700000e-01, 3.37740000e-01, 2.09139000e+00, 1.90953000e+00,\n", - " 1.79262000e+00, 5.19600000e-01, 1.34576400e+01, 2.46420300e+01,\n", - " 3.76710000e-01, 3.24750000e-01, 8.70330000e-01, 3.50730000e-01,\n", - " 3.89700000e-01, 9.22290000e-01, 1.74066000e+00, 6.23520000e-01,\n", - " 8.83320000e-01, 9.09300000e-01, 1.16910000e-01, 2.22129000e+00,\n", - " 2.85780000e-01, 6.88470000e-01, 8.18370000e-01, 2.11737000e+00,\n", - " 1.64973000e+00, 1.42890000e-01, 2.45511000e+00, 7.40430000e-01,\n", - " 5.32590000e-01, 5.84550000e-01, 1.37694000e+00, 7.01460000e-01,\n", - " 1.51983000e+00, 7.79400000e-02, 7.14450000e-01, 4.41660000e-01,\n", - " 6.23520000e-01, 2.20830000e-01, 2.54474100e+01, 6.49500000e-01,\n", - " 5.71560000e-01, 2.59800000e+01, 9.35280000e-01, 1.68870000e-01,\n", - " 0.00000000e+00, 1.68870000e-01, 7.79400000e-02, 6.49500000e-01,\n", - " 8.96310000e-01, 1.81860000e-01, 6.88470000e-01, 8.57340000e+00,\n", - " 5.46879000e+00, 6.61191000e+00, 2.30702400e+01, 2.00305800e+01,\n", - " 5.45580000e-01, 3.11760000e-01, 5.24796000e+00, 3.37740000e+00,\n", - " 1.14182100e+01, 8.10576000e+00, 1.16910000e-01, 2.85780000e+00,\n", - " 8.18370000e-01, 1.16000700e+01, 6.49500000e-02, 9.09300000e-02,\n", - " 1.42890000e-01, 6.49500000e-02, 4.09185000e+00, 3.23451000e+00,\n", - " 3.24750000e+00, 1.01971500e+01, 5.32590000e-01, 1.29900000e-01,\n", - " 5.07909000e+00, 1.68870000e-01, 5.32590000e-01, 8.19669000e+00,\n", - " 5.58570000e-01, 5.19600000e-01, 4.93620000e-01, 5.71560000e-01,\n", - " 2.98770000e-01, 6.63789000e+00, 3.76710000e+00, 1.16910000e+00,\n", - " 1.77963000e+00, 6.23520000e-01, 1.16910000e-01, 3.32544000e+00,\n", - " 2.07840000e+00, 4.74135000e+00, 4.67640000e-01, 8.31360000e-01,\n", - " 2.98770000e-01, 4.80630000e-01, 9.74250000e-01, 3.72813000e+00,\n", - " 1.05219000e+00, 3.83205000e+00, 1.46787000e+00, 5.45580000e-01,\n", - " 1.14312000e+00, 1.96149000e+00, 3.27348000e+00, 8.93712000e+00,\n", - " 1.00023000e+00, 4.74135000e+00, 4.41660000e-01, 4.28670000e-01,\n", - " 1.16910000e+00, 2.37717000e+00, 9.09300000e-01, 2.70192000e+00,\n", - " 1.81860000e-01, 6.10530000e-01, 3.37740000e+00, 1.76664000e+00,\n", - " 2.20830000e-01, 4.02690000e-01, 1.41591000e+00, 8.18370000e-01,\n", - " 1.54581000e+00, 1.03920000e+00, 1.42890000e-01, 4.54650000e-01,\n", - " 1.03920000e-01, 1.29900000e-02, 5.27394000e+00, 7.05357000e+00,\n", - " 3.37740000e-01, 2.46810000e-01, 1.56009900e+01, 7.04058000e+00,\n", - " 1.33797000e+00, 5.27394000e+00, 8.18370000e-01, 2.75388000e+00,\n", - " 3.63720000e-01, 3.24750000e-01, 3.67617000e+00, 4.41660000e-01,\n", - " 1.68870000e-01, 2.55903000e+00, 1.44189000e+00, 6.75480000e-01,\n", - " 5.94942000e+00, 2.07840000e-01, 4.80630000e-01, 2.46810000e-01,\n", - " 3.50730000e-01, 1.29900000e-01, 8.11875000e+00, 4.23474000e+00,\n", - " 4.80630000e-01, 2.20830000e-01, 3.45534000e+00, 3.63720000e-01,\n", - " 1.72767000e+00, 1.29900000e-02, 1.59777000e+00, 2.05242000e+00,\n", - " 5.84550000e-01, 1.93551000e+00, 3.24750000e-01, 1.03270500e+01,\n", - " 4.41660000e-01, 4.28670000e-01, 4.02690000e-01, 1.48605600e+01,\n", - " 4.54650000e-01, 1.07817000e+00, 1.16910000e-01, 6.49500000e-02,\n", - " 3.59823000e+00, 1.28601000e+00, 1.03920000e-01, 0.00000000e+00,\n", - " 4.57248000e+00, 2.36418000e+00, 6.80676000e+00, 2.96172000e+00,\n", - " 7.79400000e-02, 5.19600000e-02, 3.89700000e-01, 1.76664000e+00,\n", - " 2.09139000e+00, 3.24750000e-01, 0.00000000e+00, 1.16910000e-01,\n", - " 1.22106000e+00, 2.33820000e-01, 4.15680000e-01, 6.88470000e-01,\n", - " 4.55949000e+00, 2.98770000e+00, 9.09300000e-02, 3.11760000e-01,\n", - " 1.68870000e-01, 1.29900000e-01, 1.29900000e-01, 3.89700000e-01,\n", - " 3.89700000e-01, 5.00115000e+00, 4.76733000e+00, 3.63720000e-01,\n", - " 5.06610000e-01, 1.94850000e-01, 1.42890000e-01, 4.28670000e-01,\n", - " 1.29900000e-01, 1.29900000e-01, 8.83320000e-01, 6.75480000e-01,\n", - " 9.22290000e-01, 1.15611000e+00, 9.85941000e+00, 2.02644000e+00,\n", - " 1.79262000e+00, 1.87056000e+00, 3.49431000e+00, 2.59800000e-01,\n", - " 1.68870000e+00, 4.81929000e+00, 3.37740000e-01, 1.37174400e+01,\n", - " 1.02750900e+01, 6.30015000e+00, 7.01460000e-01, 1.94850000e-01,\n", - " 1.14961500e+01, 2.90976000e+00, 4.84527000e+00, 1.06518000e+00,\n", - " 2.46810000e-01, 3.97494000e+00, 3.19554000e+00, 1.29900000e-01,\n", - " 5.19600000e-02, 3.89700000e-02, 1.16910000e+00, 5.19600000e-02,\n", - " 5.41683000e+00, 1.16130600e+01, 5.19600000e-01, 1.06518000e+00,\n", - " 2.39016000e+00, 6.49500000e-02, 2.98770000e-01, 3.50730000e+00,\n", - " 3.76710000e-01, 6.23520000e-01, 1.33797000e+00, 7.28739000e+00,\n", - " 4.01391000e+00, 8.31360000e-01, 1.31199000e+00, 1.74066000e+00,\n", - " 1.94850000e-01, 8.83320000e-01, 1.11714000e+00, 4.67640000e-01,\n", - " 6.49500000e-02, 7.01460000e-01, 3.37740000e-01, 3.24750000e-01,\n", - " 7.40430000e-01, 9.22290000e-01, 1.36395000e+00, 3.63720000e-01,\n", - " 3.89700000e-02, 4.93620000e-01, 6.27417000e+00, 3.50730000e-01,\n", - " 3.06564000e+00, 3.11760000e-01, 1.11714000e+00, 6.36510000e+00,\n", - " 9.98931000e+00, 2.23428000e+00, 4.26072000e+00, 4.93620000e-01,\n", - " 4.54650000e-01, 3.24750000e-01, 2.37717000e+00, 3.89700000e-01,\n", - " 4.15680000e-01, 2.33820000e-01, 6.49500000e-01, 6.23520000e-01,\n", - " 6.62490000e+00, 1.90953000e+00, 7.53420000e-01, 1.29900000e-02,\n", - " 6.36510000e-01, 2.40315000e+00, 2.76687000e+00, 2.59800000e+00,\n", - " 2.46810000e-01, 9.61260000e-01, 1.81860000e+00, 3.24750000e-01,\n", - " 8.18370000e-01, 4.93620000e-01, 2.20830000e-01, 3.63720000e-01,\n", - " 7.92390000e-01, 6.10530000e-01, 5.32590000e-01, 1.03920000e-01,\n", - " 3.90999000e+00, 4.97517000e+00, 1.94850000e-01, 2.07840000e-01,\n", - " 4.54650000e-01, 1.45228200e+01, 7.85895000e+00, 1.68870000e-01,\n", - " 5.54673000e+00, 2.88378000e+00, 1.29900000e-02, 5.58570000e-01,\n", - " 3.11760000e-01, 2.64996000e+00, 3.89700000e+00, 5.35188000e+00,\n", - " 3.63720000e-01, 1.04049900e+01, 1.77963000e+00, 7.53420000e+00,\n", - " 9.74250000e-01, 1.36395000e+00, 5.80653000e+00, 4.39062000e+00,\n", - " 1.80561000e+00, 2.06541000e+00, 0.00000000e+00, 1.29900000e+00,\n", - " 1.15611000e+00, 1.55880000e-01, 7.79400000e-02, 1.42890000e-01,\n", - " 2.20830000e-01, 4.15680000e-01, 8.57340000e-01, 5.84550000e-01,\n", - " 4.93620000e-01, 2.32521000e+00, 2.53305000e+00, 5.19600000e-02,\n", - " 5.06610000e-01, 7.01460000e-01, 3.11760000e-01, 4.80630000e-01,\n", - " 2.59800000e-01, 8.44350000e-01, 2.16933000e+00, 3.11760000e-01,\n", - " 2.46810000e-01, 1.42370400e+01, 5.58570000e-01, 4.80630000e-01,\n", - " 4.15680000e-01, 2.66295000e+00, 6.10530000e-01, 2.20830000e-01,\n", - " 1.87056000e+00, 4.93620000e-01, 3.44235000e+00, 9.09300000e-01,\n", - " 7.78101000e+00, 5.62467000e+00, 5.32590000e+00, 4.80630000e-01,\n", - " 5.19600000e-02, 6.10530000e-01, 1.42890000e-01, 3.50730000e-01,\n", - " 7.22244000e+00, 3.76710000e-01, 3.89700000e-02, 2.07840000e-01,\n", - " 4.83228000e+00, 1.22106000e+00, 2.85780000e-01, 9.87240000e-01,\n", - " 4.78032000e+00, 8.67732000e+00, 1.58997600e+01, 1.84458000e+00,\n", - " 8.36556000e+00, 1.12363500e+01, 9.74250000e-01, 5.06610000e-01,\n", - " 1.36395000e+00, 1.90693200e+01, 1.01841600e+01, 5.19600000e-02,\n", - " 5.84550000e-01, 8.57340000e-01, 3.63720000e-01, 1.66272000e+00,\n", - " 7.53420000e-01, 1.29900000e+00, 1.44189000e+00, 7.67709000e+00,\n", - " 1.80561000e+00, 1.03920000e-01, 2.18232000e+00, 3.44235000e+00,\n", - " 2.06541000e+00, 1.80561000e+00, 1.16910000e-01, 1.00023000e+00,\n", - " 6.10530000e-01, 2.20830000e-01, 1.16910000e-01, 9.59961000e+00,\n", - " 7.01460000e-01, 2.72790000e-01, 9.09300000e-01, 1.74066000e+00,\n", - " 1.02750900e+01, 5.74158000e+00, 8.96310000e-01, 1.24704000e+00,\n", - " 5.04012000e+00, 7.14450000e-01, 1.22106000e+00, 3.89700000e+00,\n", - " 3.29946000e+00, 4.80630000e-01, 5.98839000e+00, 5.45580000e-01,\n", - " 1.19248200e+01, 6.36510000e-01, 1.90953000e+00, 9.09300000e-02,\n", - " 6.49500000e-02, 1.68870000e-01, 9.87240000e-01, 6.62490000e-01,\n", - " 1.06518000e+00, 5.84550000e-01, 4.54650000e-01, 5.58570000e-01,\n", - " 1.96149000e+00, 6.75480000e-01, 2.72790000e-01, 2.59800000e+00,\n", - " 2.20830000e-01, 8.33958000e+00, 2.01345000e+00, 2.05242000e+00,\n", - " 4.80630000e-01, 7.53420000e-01, 2.85780000e-01, 9.27486000e+00,\n", - " 3.63720000e-01, 1.68870000e-01, 1.93551000e+00, 1.71987600e+01,\n", - " 2.59800000e-01, 4.15680000e-01, 5.19600000e-02, 7.94988000e+00,\n", - " 1.29900000e-01, 1.79262000e+00, 2.59800000e-01, 7.15749000e+00,\n", - " 2.90976000e+00, 1.16910000e-01, 2.59800000e-02, 4.80630000e+00,\n", - " 9.09300000e-02, 7.92390000e-01, 2.64996000e+00, 7.01460000e-01,\n", - " 3.20853000e+00, 1.07817000e+00, 2.28624000e+00, 3.63720000e-01,\n", - " 6.75480000e-01, 1.16910000e-01, 9.88539000e+00, 1.01322000e+01,\n", - " 2.19531000e+00, 5.39085000e+00, 1.10674800e+01, 4.28670000e-01,\n", - " 6.49500000e-02, 2.20830000e-01, 4.54650000e-01, 5.84550000e-01,\n", - " 1.94850000e-01, 7.79400000e-02, 4.28670000e-01, 1.03920000e+00,\n", - " 1.44189000e+00, 4.28670000e-01, 2.33820000e-01, 2.20830000e-01,\n", - " 2.98770000e-01, 3.89700000e-02, 9.61260000e-01, 4.93620000e-01,\n", - " 2.33820000e-01, 1.20807000e+00, 1.03920000e-01, 1.85757000e+00,\n", - " 3.16956000e+00, 1.15611000e+00, 3.01368000e+00, 5.46879000e+00,\n", - " 1.72767000e+00, 8.31360000e+00, 9.09300000e-01, 1.59777000e+00,\n", - " 3.11760000e+00, 1.26003000e+00, 5.97540000e-01, 7.53420000e-01,\n", - " 3.37740000e-01, 4.28670000e-01, 1.29900000e-02, 4.80630000e-01,\n", - " 2.20830000e-01, 1.16910000e-01, 5.32590000e-01, 2.42913000e+00,\n", - " 5.71560000e-01, 4.67640000e-01, 1.94850000e-01, 8.44350000e-01,\n", - " 5.55972000e+00, 2.35119000e+00, 6.36510000e-01, 1.54581000e+00,\n", - " 4.54650000e-01, 1.14312000e+01, 8.05380000e-01, 3.88401000e+00,\n", - " 7.79400000e-01, 9.87240000e-01, 4.02690000e-01, 1.14312000e+00,\n", - " 5.97540000e-01, 4.28670000e-01, 1.45488000e+00, 7.79400000e-02,\n", - " 2.33820000e-01, 6.10530000e-01, 4.54650000e-01, 5.97540000e-01,\n", - " 1.68870000e-01, 8.70330000e-01, 5.19600000e+00, 1.49385000e+00,\n", - " 2.35119000e+00, 1.41591000e+00, 8.18370000e-01, 1.79262000e+00,\n", - " 5.98839000e+00, 4.55949000e+00, 3.37740000e-01, 1.35096000e+00,\n", - " 6.88470000e-01, 8.96310000e-01, 2.02644000e+00, 3.85803000e+00,\n", - " 3.89700000e-02, 6.49500000e-02, 4.58547000e+00, 4.72836000e+00,\n", - " 7.27440000e-01, 9.09300000e-02, 5.06610000e-01, 3.37740000e-01,\n", - " 3.89700000e-02, 9.09300000e-02, 3.89700000e-01, 4.54650000e-01,\n", - " 5.15703000e+00, 2.49408000e+00, 2.72790000e-01, 7.66410000e-01,\n", - " 5.35188000e+00, 3.11760000e-01, 9.71652000e+00, 4.67640000e-01,\n", - " 7.00161000e+00, 6.36510000e-01, 2.76687000e+00, 5.19600000e-02,\n", - " 1.68870000e-01, 4.41660000e-01, 1.81860000e-01, 2.94873000e+00,\n", - " 1.79262000e+00, 1.41591000e+00, 2.07840000e-01, 5.58570000e-01,\n", - " 3.89700000e-02, 2.39016000e+00, 6.62490000e-01, 7.79400000e-02,\n", - " 1.09116000e+00, 3.80607000e+00, 1.35096000e+00, 1.29900000e-02,\n", - " 5.63766000e+00, 3.89700000e-01, 3.97494000e+00, 6.49500000e-02,\n", - " 3.89700000e-02, 5.06610000e-01, 2.36418000e+00, 3.63720000e-01,\n", - " 9.87240000e-01, 2.29923000e+00, 1.16910000e-01, 1.55880000e-01,\n", - " 8.20968000e+00, 5.19600000e-02, 5.19600000e-02, 4.15680000e-01,\n", - " 4.80630000e-01, 4.15680000e-01, 1.42890000e-01, 7.01460000e-01,\n", - " 5.97540000e-01, 8.31360000e-01, 6.23520000e-01, 1.79262000e+00,\n", - " 3.23451000e+00, 2.46810000e-01, 1.29900000e-01, 3.37740000e-01,\n", - " 5.58570000e-01, 5.71560000e-01, 1.87056000e+00, 2.20830000e-01,\n", - " 1.16910000e-01, 6.36510000e-01, 3.31245000e+00, 1.07817000e+00,\n", - " 6.10530000e-01, 2.30182800e+01, 2.59800000e-02, 2.85780000e-01,\n", - " 2.72790000e-01, 7.79400000e-02, 9.09300000e-02, 1.16910000e-01,\n", - " 1.03920000e-01, 7.53420000e-01, 1.81860000e-01, 2.41614000e+00,\n", - " 1.24963800e+01, 7.14450000e-01, 2.46810000e-01, 8.44350000e-01,\n", - " 4.50753000e+00, 3.50730000e-01, 2.20830000e-01, 9.74250000e-01,\n", - " 1.94850000e-01, 1.13013000e+00, 1.92252000e+00, 1.57179000e+00,\n", - " 1.42890000e-01, 7.27440000e-01, 5.06610000e-01, 3.76710000e-01,\n", - " 6.10530000e-01, 3.40338000e+00, 7.27440000e-01, 1.18209000e+00,\n", - " 1.92252000e+00, 2.33820000e+00, 1.81860000e-01, 5.19600000e-01,\n", - " 2.15634000e+00, 1.97448000e+00, 7.04058000e+00, 1.68870000e-01,\n", - " 2.58501000e+00, 3.11760000e-01, 7.66410000e-01, 1.07817000e+00,\n", - " 2.59800000e-01, 1.07817000e+00, 3.89700000e-01, 3.24750000e-01,\n", - " 9.09300000e-01, 1.02621000e+00, 2.33820000e-01, 1.03920000e-01,\n", - " 8.31360000e-01, 1.46787000e+00, 9.22290000e-01, 6.10530000e-01,\n", - " 3.50730000e-01, 3.89700000e-02, 1.48086000e+00, 4.16979000e+00,\n", - " 5.58570000e-01, 2.85780000e-01, 1.29900000e-02, 8.57340000e-01,\n", - " 6.10530000e-01, 1.94850000e-01, 2.33820000e-01, 1.02621000e+00,\n", - " 3.11760000e-01, 6.65088000e+00, 6.10530000e-01, 2.33820000e-01,\n", - " 0.00000000e+00, 1.32498000e+00, 3.11760000e-01, 4.15680000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.45348816e+03, -2.52731782e+03, 1.26462408e+01, -6.98089054e+01,\n", - " 0.00000000e+00, 0.00000000e+00, -5.07561995e+01, 0.00000000e+00,\n", - " 0.00000000e+00, -4.47114145e+01, 0.00000000e+00, -7.23831217e+02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 8.97800000e-01, 4.19420000e+00, 8.18740000e+00, 5.80220000e+00,\n", - " 3.08200000e-01, 5.62800000e-01, 3.75200000e-01, 7.90600000e-01,\n", - " 1.29980000e+00, 2.01000000e-01, 7.90600000e-01, 6.29800000e-01,\n", - " 1.40968000e+01, 5.36000000e-02, 1.87600000e-01, 1.20600000e-01,\n", - " 7.03500000e+00, 5.06520000e+00, 7.63800000e-01, 1.19260000e+00,\n", - " 2.81400000e-01, 1.47400000e-01, 8.04000000e-02, 0.00000000e+00,\n", - " 2.68000000e-01, 8.84400000e-01, 6.70000000e-02, 5.15900000e+00,\n", - " 1.00500000e+00, 4.14060000e+00, 2.19760000e+00, 1.67500000e+00,\n", - " 1.84920000e+00, 8.04000000e-02, 0.00000000e+00, 9.38000000e-02,\n", - " 1.04520000e+00, 4.82400000e-01, 2.41200000e-01, 1.74200000e-01,\n", - " 6.03000000e-01, 5.62800000e-01, 1.51420000e+00, 3.18920000e+00,\n", - " 5.09200000e-01, 5.29300000e+00, 1.67500000e+00, 6.74020000e+00,\n", - " 8.44200000e-01, 2.35572000e+01, 1.47400000e-01, 1.87600000e-01,\n", - " 6.16400000e-01, 4.42200000e-01, 9.91600000e-01, 2.41200000e-01,\n", - " 8.84400000e-01, 7.04840000e+00, 1.22342000e+01, 3.28300000e+00,\n", - " 2.29140000e+00, 2.01000000e+00, 8.04000000e-01, 3.43040000e+00,\n", - " 4.15400000e-01, 3.35000000e-01, 3.26960000e+00, 2.78720000e+00,\n", - " 1.34000000e-01, 0.00000000e+00, 6.16400000e-01, 6.29800000e-01,\n", - " 5.36000000e-02, 1.47400000e-01, 1.12560000e+00, 2.30480000e+00,\n", - " 1.36680000e+00, 4.42200000e-01, 4.55600000e-01, 3.37680000e+00,\n", - " 7.85240000e+00, 6.98140000e+00, 1.52760000e+00, 2.46560000e+00,\n", - " 2.88100000e+00, 3.21600000e+00, 3.61800000e-01, 7.50400000e-01,\n", - " 1.34000000e-01, 1.60800000e-01, 2.41200000e-01, 0.00000000e+00,\n", - " 6.70000000e-02, 1.87600000e-01, 2.72020000e+00, 7.10200000e-01,\n", - " 8.04000000e-02, 0.00000000e+00, 2.01000000e-01, 2.18420000e+00,\n", - " 1.74200000e+00, 6.21760000e+00, 8.14720000e+00, 1.51420000e+00,\n", - " 2.41200000e-01, 1.20600000e-01, 6.29800000e-01, 1.20600000e-01,\n", - " 3.60460000e+00, 2.80060000e+00, 8.57600000e-01, 6.96800000e-01,\n", - " 7.30300000e+00, 1.47400000e+00, 0.00000000e+00, 3.52420000e+00,\n", - " 2.31820000e+00, 1.14436000e+01, 1.84920000e+00, 5.48060000e+00,\n", - " 1.13900000e+00, 1.55440000e+00, 4.24780000e+00, 7.12880000e+00,\n", - " 6.37840000e+00, 1.27702000e+01, 1.90280000e+00, 8.17400000e-01,\n", - " 5.42700000e+00, 6.72680000e+00, 2.29140000e+00, 1.25960000e+00,\n", - " 2.68000000e-01, 1.07200000e+00, 1.99660000e+00, 1.39360000e+00,\n", - " 1.17920000e+00, 3.48400000e+00, 9.91600000e-01, 3.35000000e-01,\n", - " 6.65980000e+00, 5.66820000e+00, 4.97140000e+00, 5.19920000e+00,\n", - " 7.90600000e-01, 8.97800000e-01, 1.74200000e-01, 4.69000000e-01,\n", - " 9.64800000e-01, 1.84920000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.33062000e+01, 1.93496000e+01, 4.20090000e+01, 1.09880000e+00,\n", - " 1.20600000e+00, 6.56600000e-01, 1.47400000e-01, 1.60800000e-01,\n", - " 4.02000000e-01, 3.48400000e-01, 2.15740000e+00, 1.96980000e+00,\n", - " 1.84920000e+00, 5.36000000e-01, 1.38824000e+01, 2.54198000e+01,\n", - " 3.88600000e-01, 3.35000000e-01, 8.97800000e-01, 3.61800000e-01,\n", - " 4.02000000e-01, 9.51400000e-01, 1.79560000e+00, 6.43200000e-01,\n", - " 9.11200000e-01, 9.38000000e-01, 1.20600000e-01, 2.29140000e+00,\n", - " 2.94800000e-01, 7.10200000e-01, 8.44200000e-01, 2.18420000e+00,\n", - " 1.70180000e+00, 1.47400000e-01, 2.53260000e+00, 7.63800000e-01,\n", - " 5.49400000e-01, 6.03000000e-01, 1.42040000e+00, 7.23600000e-01,\n", - " 1.56780000e+00, 8.04000000e-02, 7.37000000e-01, 4.55600000e-01,\n", - " 6.43200000e-01, 2.27800000e-01, 2.62506000e+01, 6.70000000e-01,\n", - " 5.89600000e-01, 2.68000000e+01, 9.64800000e-01, 1.74200000e-01,\n", - " 0.00000000e+00, 1.74200000e-01, 8.04000000e-02, 6.70000000e-01,\n", - " 9.24600000e-01, 1.87600000e-01, 7.10200000e-01, 8.84400000e+00,\n", - " 5.64140000e+00, 6.82060000e+00, 2.37984000e+01, 2.06628000e+01,\n", - " 5.62800000e-01, 3.21600000e-01, 5.41360000e+00, 3.48400000e+00,\n", - " 1.17786000e+01, 8.36160000e+00, 1.20600000e-01, 2.94800000e+00,\n", - " 8.44200000e-01, 1.19662000e+01, 6.70000000e-02, 9.38000000e-02,\n", - " 1.47400000e-01, 6.70000000e-02, 4.22100000e+00, 3.33660000e+00,\n", - " 3.35000000e+00, 1.05190000e+01, 5.49400000e-01, 1.34000000e-01,\n", - " 5.23940000e+00, 1.74200000e-01, 5.49400000e-01, 8.45540000e+00,\n", - " 5.76200000e-01, 5.36000000e-01, 5.09200000e-01, 5.89600000e-01,\n", - " 3.08200000e-01, 6.84740000e+00, 3.88600000e+00, 1.20600000e+00,\n", - " 1.83580000e+00, 6.43200000e-01, 1.20600000e-01, 3.43040000e+00,\n", - " 2.14400000e+00, 4.89100000e+00, 4.82400000e-01, 8.57600000e-01,\n", - " 3.08200000e-01, 4.95800000e-01, 1.00500000e+00, 3.84580000e+00,\n", - " 1.08540000e+00, 3.95300000e+00, 1.51420000e+00, 5.62800000e-01,\n", - " 1.17920000e+00, 2.02340000e+00, 3.37680000e+00, 9.21920000e+00,\n", - " 1.03180000e+00, 4.89100000e+00, 4.55600000e-01, 4.42200000e-01,\n", - " 1.20600000e+00, 2.45220000e+00, 9.38000000e-01, 2.78720000e+00,\n", - " 1.87600000e-01, 6.29800000e-01, 3.48400000e+00, 1.82240000e+00,\n", - " 2.27800000e-01, 4.15400000e-01, 1.46060000e+00, 8.44200000e-01,\n", - " 1.59460000e+00, 1.07200000e+00, 1.47400000e-01, 4.69000000e-01,\n", - " 1.07200000e-01, 1.34000000e-02, 5.44040000e+00, 7.27620000e+00,\n", - " 3.48400000e-01, 2.54600000e-01, 1.60934000e+01, 7.26280000e+00,\n", - " 1.38020000e+00, 5.44040000e+00, 8.44200000e-01, 2.84080000e+00,\n", - " 3.75200000e-01, 3.35000000e-01, 3.79220000e+00, 4.55600000e-01,\n", - " 1.74200000e-01, 2.63980000e+00, 1.48740000e+00, 6.96800000e-01,\n", - " 6.13720000e+00, 2.14400000e-01, 4.95800000e-01, 2.54600000e-01,\n", - " 3.61800000e-01, 1.34000000e-01, 8.37500000e+00, 4.36840000e+00,\n", - " 4.95800000e-01, 2.27800000e-01, 3.56440000e+00, 3.75200000e-01,\n", - " 1.78220000e+00, 1.34000000e-02, 1.64820000e+00, 2.11720000e+00,\n", - " 6.03000000e-01, 1.99660000e+00, 3.35000000e-01, 1.06530000e+01,\n", - " 4.55600000e-01, 4.42200000e-01, 4.15400000e-01, 1.53296000e+01,\n", - " 4.69000000e-01, 1.11220000e+00, 1.20600000e-01, 6.70000000e-02,\n", - " 3.71180000e+00, 1.32660000e+00, 1.07200000e-01, 0.00000000e+00,\n", - " 4.71680000e+00, 2.43880000e+00, 7.02160000e+00, 3.05520000e+00,\n", - " 8.04000000e-02, 5.36000000e-02, 4.02000000e-01, 1.82240000e+00,\n", - " 2.15740000e+00, 3.35000000e-01, 0.00000000e+00, 1.20600000e-01,\n", - " 1.25960000e+00, 2.41200000e-01, 4.28800000e-01, 7.10200000e-01,\n", - " 4.70340000e+00, 3.08200000e+00, 9.38000000e-02, 3.21600000e-01,\n", - " 1.74200000e-01, 1.34000000e-01, 1.34000000e-01, 4.02000000e-01,\n", - " 4.02000000e-01, 5.15900000e+00, 4.91780000e+00, 3.75200000e-01,\n", - " 5.22600000e-01, 2.01000000e-01, 1.47400000e-01, 4.42200000e-01,\n", - " 1.34000000e-01, 1.34000000e-01, 9.11200000e-01, 6.96800000e-01,\n", - " 9.51400000e-01, 1.19260000e+00, 1.01706000e+01, 2.09040000e+00,\n", - " 1.84920000e+00, 1.92960000e+00, 3.60460000e+00, 2.68000000e-01,\n", - " 1.74200000e+00, 4.97140000e+00, 3.48400000e-01, 1.41504000e+01,\n", - " 1.05994000e+01, 6.49900000e+00, 7.23600000e-01, 2.01000000e-01,\n", - " 1.18590000e+01, 3.00160000e+00, 4.99820000e+00, 1.09880000e+00,\n", - " 2.54600000e-01, 4.10040000e+00, 3.29640000e+00, 1.34000000e-01,\n", - " 5.36000000e-02, 4.02000000e-02, 1.20600000e+00, 5.36000000e-02,\n", - " 5.58780000e+00, 1.19796000e+01, 5.36000000e-01, 1.09880000e+00,\n", - " 2.46560000e+00, 6.70000000e-02, 3.08200000e-01, 3.61800000e+00,\n", - " 3.88600000e-01, 6.43200000e-01, 1.38020000e+00, 7.51740000e+00,\n", - " 4.14060000e+00, 8.57600000e-01, 1.35340000e+00, 1.79560000e+00,\n", - " 2.01000000e-01, 9.11200000e-01, 1.15240000e+00, 4.82400000e-01,\n", - " 6.70000000e-02, 7.23600000e-01, 3.48400000e-01, 3.35000000e-01,\n", - " 7.63800000e-01, 9.51400000e-01, 1.40700000e+00, 3.75200000e-01,\n", - " 4.02000000e-02, 5.09200000e-01, 6.47220000e+00, 3.61800000e-01,\n", - " 3.16240000e+00, 3.21600000e-01, 1.15240000e+00, 6.56600000e+00,\n", - " 1.03046000e+01, 2.30480000e+00, 4.39520000e+00, 5.09200000e-01,\n", - " 4.69000000e-01, 3.35000000e-01, 2.45220000e+00, 4.02000000e-01,\n", - " 4.28800000e-01, 2.41200000e-01, 6.70000000e-01, 6.43200000e-01,\n", - " 6.83400000e+00, 1.96980000e+00, 7.77200000e-01, 1.34000000e-02,\n", - " 6.56600000e-01, 2.47900000e+00, 2.85420000e+00, 2.68000000e+00,\n", - " 2.54600000e-01, 9.91600000e-01, 1.87600000e+00, 3.35000000e-01,\n", - " 8.44200000e-01, 5.09200000e-01, 2.27800000e-01, 3.75200000e-01,\n", - " 8.17400000e-01, 6.29800000e-01, 5.49400000e-01, 1.07200000e-01,\n", - " 4.03340000e+00, 5.13220000e+00, 2.01000000e-01, 2.14400000e-01,\n", - " 4.69000000e-01, 1.49812000e+01, 8.10700000e+00, 1.74200000e-01,\n", - " 5.72180000e+00, 2.97480000e+00, 1.34000000e-02, 5.76200000e-01,\n", - " 3.21600000e-01, 2.73360000e+00, 4.02000000e+00, 5.52080000e+00,\n", - " 3.75200000e-01, 1.07334000e+01, 1.83580000e+00, 7.77200000e+00,\n", - " 1.00500000e+00, 1.40700000e+00, 5.98980000e+00, 4.52920000e+00,\n", - " 1.86260000e+00, 2.13060000e+00, 0.00000000e+00, 1.34000000e+00,\n", - " 1.19260000e+00, 1.60800000e-01, 8.04000000e-02, 1.47400000e-01,\n", - " 2.27800000e-01, 4.28800000e-01, 8.84400000e-01, 6.03000000e-01,\n", - " 5.09200000e-01, 2.39860000e+00, 2.61300000e+00, 5.36000000e-02,\n", - " 5.22600000e-01, 7.23600000e-01, 3.21600000e-01, 4.95800000e-01,\n", - " 2.68000000e-01, 8.71000000e-01, 2.23780000e+00, 3.21600000e-01,\n", - " 2.54600000e-01, 1.46864000e+01, 5.76200000e-01, 4.95800000e-01,\n", - " 4.28800000e-01, 2.74700000e+00, 6.29800000e-01, 2.27800000e-01,\n", - " 1.92960000e+00, 5.09200000e-01, 3.55100000e+00, 9.38000000e-01,\n", - " 8.02660000e+00, 5.80220000e+00, 5.49400000e+00, 4.95800000e-01,\n", - " 5.36000000e-02, 6.29800000e-01, 1.47400000e-01, 3.61800000e-01,\n", - " 7.45040000e+00, 3.88600000e-01, 4.02000000e-02, 2.14400000e-01,\n", - " 4.98480000e+00, 1.25960000e+00, 2.94800000e-01, 1.01840000e+00,\n", - " 4.93120000e+00, 8.95120000e+00, 1.64016000e+01, 1.90280000e+00,\n", - " 8.62960000e+00, 1.15910000e+01, 1.00500000e+00, 5.22600000e-01,\n", - " 1.40700000e+00, 1.96712000e+01, 1.05056000e+01, 5.36000000e-02,\n", - " 6.03000000e-01, 8.84400000e-01, 3.75200000e-01, 1.71520000e+00,\n", - " 7.77200000e-01, 1.34000000e+00, 1.48740000e+00, 7.91940000e+00,\n", - " 1.86260000e+00, 1.07200000e-01, 2.25120000e+00, 3.55100000e+00,\n", - " 2.13060000e+00, 1.86260000e+00, 1.20600000e-01, 1.03180000e+00,\n", - " 6.29800000e-01, 2.27800000e-01, 1.20600000e-01, 9.90260000e+00,\n", - " 7.23600000e-01, 2.81400000e-01, 9.38000000e-01, 1.79560000e+00,\n", - " 1.05994000e+01, 5.92280000e+00, 9.24600000e-01, 1.28640000e+00,\n", - " 5.19920000e+00, 7.37000000e-01, 1.25960000e+00, 4.02000000e+00,\n", - " 3.40360000e+00, 4.95800000e-01, 6.17740000e+00, 5.62800000e-01,\n", - " 1.23012000e+01, 6.56600000e-01, 1.96980000e+00, 9.38000000e-02,\n", - " 6.70000000e-02, 1.74200000e-01, 1.01840000e+00, 6.83400000e-01,\n", - " 1.09880000e+00, 6.03000000e-01, 4.69000000e-01, 5.76200000e-01,\n", - " 2.02340000e+00, 6.96800000e-01, 2.81400000e-01, 2.68000000e+00,\n", - " 2.27800000e-01, 8.60280000e+00, 2.07700000e+00, 2.11720000e+00,\n", - " 4.95800000e-01, 7.77200000e-01, 2.94800000e-01, 9.56760000e+00,\n", - " 3.75200000e-01, 1.74200000e-01, 1.99660000e+00, 1.77416000e+01,\n", - " 2.68000000e-01, 4.28800000e-01, 5.36000000e-02, 8.20080000e+00,\n", - " 1.34000000e-01, 1.84920000e+00, 2.68000000e-01, 7.38340000e+00,\n", - " 3.00160000e+00, 1.20600000e-01, 2.68000000e-02, 4.95800000e+00,\n", - " 9.38000000e-02, 8.17400000e-01, 2.73360000e+00, 7.23600000e-01,\n", - " 3.30980000e+00, 1.11220000e+00, 2.35840000e+00, 3.75200000e-01,\n", - " 6.96800000e-01, 1.20600000e-01, 1.01974000e+01, 1.04520000e+01,\n", - " 2.26460000e+00, 5.56100000e+00, 1.14168000e+01, 4.42200000e-01,\n", - " 6.70000000e-02, 2.27800000e-01, 4.69000000e-01, 6.03000000e-01,\n", - " 2.01000000e-01, 8.04000000e-02, 4.42200000e-01, 1.07200000e+00,\n", - " 1.48740000e+00, 4.42200000e-01, 2.41200000e-01, 2.27800000e-01,\n", - " 3.08200000e-01, 4.02000000e-02, 9.91600000e-01, 5.09200000e-01,\n", - " 2.41200000e-01, 1.24620000e+00, 1.07200000e-01, 1.91620000e+00,\n", - " 3.26960000e+00, 1.19260000e+00, 3.10880000e+00, 5.64140000e+00,\n", - " 1.78220000e+00, 8.57600000e+00, 9.38000000e-01, 1.64820000e+00,\n", - " 3.21600000e+00, 1.29980000e+00, 6.16400000e-01, 7.77200000e-01,\n", - " 3.48400000e-01, 4.42200000e-01, 1.34000000e-02, 4.95800000e-01,\n", - " 2.27800000e-01, 1.20600000e-01, 5.49400000e-01, 2.50580000e+00,\n", - " 5.89600000e-01, 4.82400000e-01, 2.01000000e-01, 8.71000000e-01,\n", - " 5.73520000e+00, 2.42540000e+00, 6.56600000e-01, 1.59460000e+00,\n", - " 4.69000000e-01, 1.17920000e+01, 8.30800000e-01, 4.00660000e+00,\n", - " 8.04000000e-01, 1.01840000e+00, 4.15400000e-01, 1.17920000e+00,\n", - " 6.16400000e-01, 4.42200000e-01, 1.50080000e+00, 8.04000000e-02,\n", - " 2.41200000e-01, 6.29800000e-01, 4.69000000e-01, 6.16400000e-01,\n", - " 1.74200000e-01, 8.97800000e-01, 5.36000000e+00, 1.54100000e+00,\n", - " 2.42540000e+00, 1.46060000e+00, 8.44200000e-01, 1.84920000e+00,\n", - " 6.17740000e+00, 4.70340000e+00, 3.48400000e-01, 1.39360000e+00,\n", - " 7.10200000e-01, 9.24600000e-01, 2.09040000e+00, 3.97980000e+00,\n", - " 4.02000000e-02, 6.70000000e-02, 4.73020000e+00, 4.87760000e+00,\n", - " 7.50400000e-01, 9.38000000e-02, 5.22600000e-01, 3.48400000e-01,\n", - " 4.02000000e-02, 9.38000000e-02, 4.02000000e-01, 4.69000000e-01,\n", - " 5.31980000e+00, 2.57280000e+00, 2.81400000e-01, 7.90600000e-01,\n", - " 5.52080000e+00, 3.21600000e-01, 1.00232000e+01, 4.82400000e-01,\n", - " 7.22260000e+00, 6.56600000e-01, 2.85420000e+00, 5.36000000e-02,\n", - " 1.74200000e-01, 4.55600000e-01, 1.87600000e-01, 3.04180000e+00,\n", - " 1.84920000e+00, 1.46060000e+00, 2.14400000e-01, 5.76200000e-01,\n", - " 4.02000000e-02, 2.46560000e+00, 6.83400000e-01, 8.04000000e-02,\n", - " 1.12560000e+00, 3.92620000e+00, 1.39360000e+00, 1.34000000e-02,\n", - " 5.81560000e+00, 4.02000000e-01, 4.10040000e+00, 6.70000000e-02,\n", - " 4.02000000e-02, 5.22600000e-01, 2.43880000e+00, 3.75200000e-01,\n", - " 1.01840000e+00, 2.37180000e+00, 1.20600000e-01, 1.60800000e-01,\n", - " 8.46880000e+00, 5.36000000e-02, 5.36000000e-02, 4.28800000e-01,\n", - " 4.95800000e-01, 4.28800000e-01, 1.47400000e-01, 7.23600000e-01,\n", - " 6.16400000e-01, 8.57600000e-01, 6.43200000e-01, 1.84920000e+00,\n", - " 3.33660000e+00, 2.54600000e-01, 1.34000000e-01, 3.48400000e-01,\n", - " 5.76200000e-01, 5.89600000e-01, 1.92960000e+00, 2.27800000e-01,\n", - " 1.20600000e-01, 6.56600000e-01, 3.41700000e+00, 1.11220000e+00,\n", - " 6.29800000e-01, 2.37448000e+01, 2.68000000e-02, 2.94800000e-01,\n", - " 2.81400000e-01, 8.04000000e-02, 9.38000000e-02, 1.20600000e-01,\n", - " 1.07200000e-01, 7.77200000e-01, 1.87600000e-01, 2.49240000e+00,\n", - " 1.28908000e+01, 7.37000000e-01, 2.54600000e-01, 8.71000000e-01,\n", - " 4.64980000e+00, 3.61800000e-01, 2.27800000e-01, 1.00500000e+00,\n", - " 2.01000000e-01, 1.16580000e+00, 1.98320000e+00, 1.62140000e+00,\n", - " 1.47400000e-01, 7.50400000e-01, 5.22600000e-01, 3.88600000e-01,\n", - " 6.29800000e-01, 3.51080000e+00, 7.50400000e-01, 1.21940000e+00,\n", - " 1.98320000e+00, 2.41200000e+00, 1.87600000e-01, 5.36000000e-01,\n", - " 2.22440000e+00, 2.03680000e+00, 7.26280000e+00, 1.74200000e-01,\n", - " 2.66660000e+00, 3.21600000e-01, 7.90600000e-01, 1.11220000e+00,\n", - " 2.68000000e-01, 1.11220000e+00, 4.02000000e-01, 3.35000000e-01,\n", - " 9.38000000e-01, 1.05860000e+00, 2.41200000e-01, 1.07200000e-01,\n", - " 8.57600000e-01, 1.51420000e+00, 9.51400000e-01, 6.29800000e-01,\n", - " 3.61800000e-01, 4.02000000e-02, 1.52760000e+00, 4.30140000e+00,\n", - " 5.76200000e-01, 2.94800000e-01, 1.34000000e-02, 8.84400000e-01,\n", - " 6.29800000e-01, 2.01000000e-01, 2.41200000e-01, 1.05860000e+00,\n", - " 3.21600000e-01, 6.86080000e+00, 6.29800000e-01, 2.41200000e-01,\n", - " 0.00000000e+00, 1.36680000e+00, 3.21600000e-01, 4.28800000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.43755949e+03, -2.52731782e+03, 7.74634792e+00, -7.51874692e+01,\n", - " 0.00000000e+00, 0.00000000e+00, -6.08932926e+01, 0.00000000e+00,\n", - " 0.00000000e+00, -5.22349446e+01, 0.00000000e+00, -7.41519489e+02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 8.97800000e-01, 4.19420000e+00, 8.18740000e+00, 5.80220000e+00,\n", - " 3.08200000e-01, 5.62800000e-01, 3.75200000e-01, 7.90600000e-01,\n", - " 1.29980000e+00, 2.01000000e-01, 7.90600000e-01, 6.29800000e-01,\n", - " 1.40968000e+01, 5.36000000e-02, 1.87600000e-01, 1.20600000e-01,\n", - " 7.03500000e+00, 5.06520000e+00, 7.63800000e-01, 1.19260000e+00,\n", - " 2.81400000e-01, 1.47400000e-01, 8.04000000e-02, 0.00000000e+00,\n", - " 2.68000000e-01, 8.84400000e-01, 6.70000000e-02, 5.15900000e+00,\n", - " 1.00500000e+00, 4.14060000e+00, 2.19760000e+00, 1.67500000e+00,\n", - " 1.84920000e+00, 8.04000000e-02, 0.00000000e+00, 9.38000000e-02,\n", - " 1.04520000e+00, 4.82400000e-01, 2.41200000e-01, 1.74200000e-01,\n", - " 6.03000000e-01, 5.62800000e-01, 1.51420000e+00, 3.18920000e+00,\n", - " 5.09200000e-01, 5.29300000e+00, 1.67500000e+00, 6.74020000e+00,\n", - " 8.44200000e-01, 2.35572000e+01, 1.47400000e-01, 1.87600000e-01,\n", - " 6.16400000e-01, 4.42200000e-01, 9.91600000e-01, 2.41200000e-01,\n", - " 8.84400000e-01, 7.04840000e+00, 1.22342000e+01, 3.28300000e+00,\n", - " 2.29140000e+00, 2.01000000e+00, 8.04000000e-01, 3.43040000e+00,\n", - " 4.15400000e-01, 3.35000000e-01, 3.26960000e+00, 2.78720000e+00,\n", - " 1.34000000e-01, 0.00000000e+00, 6.16400000e-01, 6.29800000e-01,\n", - " 5.36000000e-02, 1.47400000e-01, 1.12560000e+00, 2.30480000e+00,\n", - " 1.36680000e+00, 4.42200000e-01, 4.55600000e-01, 3.37680000e+00,\n", - " 7.85240000e+00, 6.98140000e+00, 1.52760000e+00, 2.46560000e+00,\n", - " 2.88100000e+00, 3.21600000e+00, 3.61800000e-01, 7.50400000e-01,\n", - " 1.34000000e-01, 1.60800000e-01, 2.41200000e-01, 0.00000000e+00,\n", - " 6.70000000e-02, 1.87600000e-01, 2.72020000e+00, 7.10200000e-01,\n", - " 8.04000000e-02, 0.00000000e+00, 2.01000000e-01, 2.18420000e+00,\n", - " 1.74200000e+00, 6.21760000e+00, 8.14720000e+00, 1.51420000e+00,\n", - " 2.41200000e-01, 1.20600000e-01, 6.29800000e-01, 1.20600000e-01,\n", - " 3.60460000e+00, 2.80060000e+00, 8.57600000e-01, 6.96800000e-01,\n", - " 7.30300000e+00, 1.47400000e+00, 0.00000000e+00, 3.52420000e+00,\n", - " 2.31820000e+00, 1.14436000e+01, 1.84920000e+00, 5.48060000e+00,\n", - " 1.13900000e+00, 1.55440000e+00, 4.24780000e+00, 7.12880000e+00,\n", - " 6.37840000e+00, 1.27702000e+01, 1.90280000e+00, 8.17400000e-01,\n", - " 5.42700000e+00, 6.72680000e+00, 2.29140000e+00, 1.25960000e+00,\n", - " 2.68000000e-01, 1.07200000e+00, 1.99660000e+00, 1.39360000e+00,\n", - " 1.17920000e+00, 3.48400000e+00, 9.91600000e-01, 3.35000000e-01,\n", - " 6.65980000e+00, 5.66820000e+00, 4.97140000e+00, 5.19920000e+00,\n", - " 7.90600000e-01, 8.97800000e-01, 1.74200000e-01, 4.69000000e-01,\n", - " 9.64800000e-01, 1.84920000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.33062000e+01, 1.93496000e+01, 4.20090000e+01, 1.09880000e+00,\n", - " 1.20600000e+00, 6.56600000e-01, 1.47400000e-01, 1.60800000e-01,\n", - " 4.02000000e-01, 3.48400000e-01, 2.15740000e+00, 1.96980000e+00,\n", - " 1.84920000e+00, 5.36000000e-01, 1.38824000e+01, 2.54198000e+01,\n", - " 3.88600000e-01, 3.35000000e-01, 8.97800000e-01, 3.61800000e-01,\n", - " 4.02000000e-01, 9.51400000e-01, 1.79560000e+00, 6.43200000e-01,\n", - " 9.11200000e-01, 9.38000000e-01, 1.20600000e-01, 2.29140000e+00,\n", - " 2.94800000e-01, 7.10200000e-01, 8.44200000e-01, 2.18420000e+00,\n", - " 1.70180000e+00, 1.47400000e-01, 2.53260000e+00, 7.63800000e-01,\n", - " 5.49400000e-01, 6.03000000e-01, 1.42040000e+00, 7.23600000e-01,\n", - " 1.56780000e+00, 8.04000000e-02, 7.37000000e-01, 4.55600000e-01,\n", - " 6.43200000e-01, 2.27800000e-01, 2.62506000e+01, 6.70000000e-01,\n", - " 5.89600000e-01, 2.68000000e+01, 9.64800000e-01, 1.74200000e-01,\n", - " 0.00000000e+00, 1.74200000e-01, 8.04000000e-02, 6.70000000e-01,\n", - " 9.24600000e-01, 1.87600000e-01, 7.10200000e-01, 8.84400000e+00,\n", - " 5.64140000e+00, 6.82060000e+00, 2.37984000e+01, 2.06628000e+01,\n", - " 5.62800000e-01, 3.21600000e-01, 5.41360000e+00, 3.48400000e+00,\n", - " 1.17786000e+01, 8.36160000e+00, 1.20600000e-01, 2.94800000e+00,\n", - " 8.44200000e-01, 1.19662000e+01, 6.70000000e-02, 9.38000000e-02,\n", - " 1.47400000e-01, 6.70000000e-02, 4.22100000e+00, 3.33660000e+00,\n", - " 3.35000000e+00, 1.05190000e+01, 5.49400000e-01, 1.34000000e-01,\n", - " 5.23940000e+00, 1.74200000e-01, 5.49400000e-01, 8.45540000e+00,\n", - " 5.76200000e-01, 5.36000000e-01, 5.09200000e-01, 5.89600000e-01,\n", - " 3.08200000e-01, 6.84740000e+00, 3.88600000e+00, 1.20600000e+00,\n", - " 1.83580000e+00, 6.43200000e-01, 1.20600000e-01, 3.43040000e+00,\n", - " 2.14400000e+00, 4.89100000e+00, 4.82400000e-01, 8.57600000e-01,\n", - " 3.08200000e-01, 4.95800000e-01, 1.00500000e+00, 3.84580000e+00,\n", - " 1.08540000e+00, 3.95300000e+00, 1.51420000e+00, 5.62800000e-01,\n", - " 1.17920000e+00, 2.02340000e+00, 3.37680000e+00, 9.21920000e+00,\n", - " 1.03180000e+00, 4.89100000e+00, 4.55600000e-01, 4.42200000e-01,\n", - " 1.20600000e+00, 2.45220000e+00, 9.38000000e-01, 2.78720000e+00,\n", - " 1.87600000e-01, 6.29800000e-01, 3.48400000e+00, 1.82240000e+00,\n", - " 2.27800000e-01, 4.15400000e-01, 1.46060000e+00, 8.44200000e-01,\n", - " 1.59460000e+00, 1.07200000e+00, 1.47400000e-01, 4.69000000e-01,\n", - " 1.07200000e-01, 1.34000000e-02, 5.44040000e+00, 7.27620000e+00,\n", - " 3.48400000e-01, 2.54600000e-01, 1.60934000e+01, 7.26280000e+00,\n", - " 1.38020000e+00, 5.44040000e+00, 8.44200000e-01, 2.84080000e+00,\n", - " 3.75200000e-01, 3.35000000e-01, 3.79220000e+00, 4.55600000e-01,\n", - " 1.74200000e-01, 2.63980000e+00, 1.48740000e+00, 6.96800000e-01,\n", - " 6.13720000e+00, 2.14400000e-01, 4.95800000e-01, 2.54600000e-01,\n", - " 3.61800000e-01, 1.34000000e-01, 8.37500000e+00, 4.36840000e+00,\n", - " 4.95800000e-01, 2.27800000e-01, 3.56440000e+00, 3.75200000e-01,\n", - " 1.78220000e+00, 1.34000000e-02, 1.64820000e+00, 2.11720000e+00,\n", - " 6.03000000e-01, 1.99660000e+00, 3.35000000e-01, 1.06530000e+01,\n", - " 4.55600000e-01, 4.42200000e-01, 4.15400000e-01, 1.53296000e+01,\n", - " 4.69000000e-01, 1.11220000e+00, 1.20600000e-01, 6.70000000e-02,\n", - " 3.71180000e+00, 1.32660000e+00, 1.07200000e-01, 0.00000000e+00,\n", - " 4.71680000e+00, 2.43880000e+00, 7.02160000e+00, 3.05520000e+00,\n", - " 8.04000000e-02, 5.36000000e-02, 4.02000000e-01, 1.82240000e+00,\n", - " 2.15740000e+00, 3.35000000e-01, 0.00000000e+00, 1.20600000e-01,\n", - " 1.25960000e+00, 2.41200000e-01, 4.28800000e-01, 7.10200000e-01,\n", - " 4.70340000e+00, 3.08200000e+00, 9.38000000e-02, 3.21600000e-01,\n", - " 1.74200000e-01, 1.34000000e-01, 1.34000000e-01, 4.02000000e-01,\n", - " 4.02000000e-01, 5.15900000e+00, 4.91780000e+00, 3.75200000e-01,\n", - " 5.22600000e-01, 2.01000000e-01, 1.47400000e-01, 4.42200000e-01,\n", - " 1.34000000e-01, 1.34000000e-01, 9.11200000e-01, 6.96800000e-01,\n", - " 9.51400000e-01, 1.19260000e+00, 1.01706000e+01, 2.09040000e+00,\n", - " 1.84920000e+00, 1.92960000e+00, 3.60460000e+00, 2.68000000e-01,\n", - " 1.74200000e+00, 4.97140000e+00, 3.48400000e-01, 1.41504000e+01,\n", - " 1.05994000e+01, 6.49900000e+00, 7.23600000e-01, 2.01000000e-01,\n", - " 1.18590000e+01, 3.00160000e+00, 4.99820000e+00, 1.09880000e+00,\n", - " 2.54600000e-01, 4.10040000e+00, 3.29640000e+00, 1.34000000e-01,\n", - " 5.36000000e-02, 4.02000000e-02, 1.20600000e+00, 5.36000000e-02,\n", - " 5.58780000e+00, 1.19796000e+01, 5.36000000e-01, 1.09880000e+00,\n", - " 2.46560000e+00, 6.70000000e-02, 3.08200000e-01, 3.61800000e+00,\n", - " 3.88600000e-01, 6.43200000e-01, 1.38020000e+00, 7.51740000e+00,\n", - " 4.14060000e+00, 8.57600000e-01, 1.35340000e+00, 1.79560000e+00,\n", - " 2.01000000e-01, 9.11200000e-01, 1.15240000e+00, 4.82400000e-01,\n", - " 6.70000000e-02, 7.23600000e-01, 3.48400000e-01, 3.35000000e-01,\n", - " 7.63800000e-01, 9.51400000e-01, 1.40700000e+00, 3.75200000e-01,\n", - " 4.02000000e-02, 5.09200000e-01, 6.47220000e+00, 3.61800000e-01,\n", - " 3.16240000e+00, 3.21600000e-01, 1.15240000e+00, 6.56600000e+00,\n", - " 1.03046000e+01, 2.30480000e+00, 4.39520000e+00, 5.09200000e-01,\n", - " 4.69000000e-01, 3.35000000e-01, 2.45220000e+00, 4.02000000e-01,\n", - " 4.28800000e-01, 2.41200000e-01, 6.70000000e-01, 6.43200000e-01,\n", - " 6.83400000e+00, 1.96980000e+00, 7.77200000e-01, 1.34000000e-02,\n", - " 6.56600000e-01, 2.47900000e+00, 2.85420000e+00, 2.68000000e+00,\n", - " 2.54600000e-01, 9.91600000e-01, 1.87600000e+00, 3.35000000e-01,\n", - " 8.44200000e-01, 5.09200000e-01, 2.27800000e-01, 3.75200000e-01,\n", - " 8.17400000e-01, 6.29800000e-01, 5.49400000e-01, 1.07200000e-01,\n", - " 4.03340000e+00, 5.13220000e+00, 2.01000000e-01, 2.14400000e-01,\n", - " 4.69000000e-01, 1.49812000e+01, 8.10700000e+00, 1.74200000e-01,\n", - " 5.72180000e+00, 2.97480000e+00, 1.34000000e-02, 5.76200000e-01,\n", - " 3.21600000e-01, 2.73360000e+00, 4.02000000e+00, 5.52080000e+00,\n", - " 3.75200000e-01, 1.07334000e+01, 1.83580000e+00, 7.77200000e+00,\n", - " 1.00500000e+00, 1.40700000e+00, 5.98980000e+00, 4.52920000e+00,\n", - " 1.86260000e+00, 2.13060000e+00, 0.00000000e+00, 1.34000000e+00,\n", - " 1.19260000e+00, 1.60800000e-01, 8.04000000e-02, 1.47400000e-01,\n", - " 2.27800000e-01, 4.28800000e-01, 8.84400000e-01, 6.03000000e-01,\n", - " 5.09200000e-01, 2.39860000e+00, 2.61300000e+00, 5.36000000e-02,\n", - " 5.22600000e-01, 7.23600000e-01, 3.21600000e-01, 4.95800000e-01,\n", - " 2.68000000e-01, 8.71000000e-01, 2.23780000e+00, 3.21600000e-01,\n", - " 2.54600000e-01, 1.46864000e+01, 5.76200000e-01, 4.95800000e-01,\n", - " 4.28800000e-01, 2.74700000e+00, 6.29800000e-01, 2.27800000e-01,\n", - " 1.92960000e+00, 5.09200000e-01, 3.55100000e+00, 9.38000000e-01,\n", - " 8.02660000e+00, 5.80220000e+00, 5.49400000e+00, 4.95800000e-01,\n", - " 5.36000000e-02, 6.29800000e-01, 1.47400000e-01, 3.61800000e-01,\n", - " 7.45040000e+00, 3.88600000e-01, 4.02000000e-02, 2.14400000e-01,\n", - " 4.98480000e+00, 1.25960000e+00, 2.94800000e-01, 1.01840000e+00,\n", - " 4.93120000e+00, 8.95120000e+00, 1.64016000e+01, 1.90280000e+00,\n", - " 8.62960000e+00, 1.15910000e+01, 1.00500000e+00, 5.22600000e-01,\n", - " 1.40700000e+00, 1.96712000e+01, 1.05056000e+01, 5.36000000e-02,\n", - " 6.03000000e-01, 8.84400000e-01, 3.75200000e-01, 1.71520000e+00,\n", - " 7.77200000e-01, 1.34000000e+00, 1.48740000e+00, 7.91940000e+00,\n", - " 1.86260000e+00, 1.07200000e-01, 2.25120000e+00, 3.55100000e+00,\n", - " 2.13060000e+00, 1.86260000e+00, 1.20600000e-01, 1.03180000e+00,\n", - " 6.29800000e-01, 2.27800000e-01, 1.20600000e-01, 9.90260000e+00,\n", - " 7.23600000e-01, 2.81400000e-01, 9.38000000e-01, 1.79560000e+00,\n", - " 1.05994000e+01, 5.92280000e+00, 9.24600000e-01, 1.28640000e+00,\n", - " 5.19920000e+00, 7.37000000e-01, 1.25960000e+00, 4.02000000e+00,\n", - " 3.40360000e+00, 4.95800000e-01, 6.17740000e+00, 5.62800000e-01,\n", - " 1.23012000e+01, 6.56600000e-01, 1.96980000e+00, 9.38000000e-02,\n", - " 6.70000000e-02, 1.74200000e-01, 1.01840000e+00, 6.83400000e-01,\n", - " 1.09880000e+00, 6.03000000e-01, 4.69000000e-01, 5.76200000e-01,\n", - " 2.02340000e+00, 6.96800000e-01, 2.81400000e-01, 2.68000000e+00,\n", - " 2.27800000e-01, 8.60280000e+00, 2.07700000e+00, 2.11720000e+00,\n", - " 4.95800000e-01, 7.77200000e-01, 2.94800000e-01, 9.56760000e+00,\n", - " 3.75200000e-01, 1.74200000e-01, 1.99660000e+00, 1.77416000e+01,\n", - " 2.68000000e-01, 4.28800000e-01, 5.36000000e-02, 8.20080000e+00,\n", - " 1.34000000e-01, 1.84920000e+00, 2.68000000e-01, 7.38340000e+00,\n", - " 3.00160000e+00, 1.20600000e-01, 2.68000000e-02, 4.95800000e+00,\n", - " 9.38000000e-02, 8.17400000e-01, 2.73360000e+00, 7.23600000e-01,\n", - " 3.30980000e+00, 1.11220000e+00, 2.35840000e+00, 3.75200000e-01,\n", - " 6.96800000e-01, 1.20600000e-01, 1.01974000e+01, 1.04520000e+01,\n", - " 2.26460000e+00, 5.56100000e+00, 1.14168000e+01, 4.42200000e-01,\n", - " 6.70000000e-02, 2.27800000e-01, 4.69000000e-01, 6.03000000e-01,\n", - " 2.01000000e-01, 8.04000000e-02, 4.42200000e-01, 1.07200000e+00,\n", - " 1.48740000e+00, 4.42200000e-01, 2.41200000e-01, 2.27800000e-01,\n", - " 3.08200000e-01, 4.02000000e-02, 9.91600000e-01, 5.09200000e-01,\n", - " 2.41200000e-01, 1.24620000e+00, 1.07200000e-01, 1.91620000e+00,\n", - " 3.26960000e+00, 1.19260000e+00, 3.10880000e+00, 5.64140000e+00,\n", - " 1.78220000e+00, 8.57600000e+00, 9.38000000e-01, 1.64820000e+00,\n", - " 3.21600000e+00, 1.29980000e+00, 6.16400000e-01, 7.77200000e-01,\n", - " 3.48400000e-01, 4.42200000e-01, 1.34000000e-02, 4.95800000e-01,\n", - " 2.27800000e-01, 1.20600000e-01, 5.49400000e-01, 2.50580000e+00,\n", - " 5.89600000e-01, 4.82400000e-01, 2.01000000e-01, 8.71000000e-01,\n", - " 5.73520000e+00, 2.42540000e+00, 6.56600000e-01, 1.59460000e+00,\n", - " 4.69000000e-01, 1.17920000e+01, 8.30800000e-01, 4.00660000e+00,\n", - " 8.04000000e-01, 1.01840000e+00, 4.15400000e-01, 1.17920000e+00,\n", - " 6.16400000e-01, 4.42200000e-01, 1.50080000e+00, 8.04000000e-02,\n", - " 2.41200000e-01, 6.29800000e-01, 4.69000000e-01, 6.16400000e-01,\n", - " 1.74200000e-01, 8.97800000e-01, 5.36000000e+00, 1.54100000e+00,\n", - " 2.42540000e+00, 1.46060000e+00, 8.44200000e-01, 1.84920000e+00,\n", - " 6.17740000e+00, 4.70340000e+00, 3.48400000e-01, 1.39360000e+00,\n", - " 7.10200000e-01, 9.24600000e-01, 2.09040000e+00, 3.97980000e+00,\n", - " 4.02000000e-02, 6.70000000e-02, 4.73020000e+00, 4.87760000e+00,\n", - " 7.50400000e-01, 9.38000000e-02, 5.22600000e-01, 3.48400000e-01,\n", - " 4.02000000e-02, 9.38000000e-02, 4.02000000e-01, 4.69000000e-01,\n", - " 5.31980000e+00, 2.57280000e+00, 2.81400000e-01, 7.90600000e-01,\n", - " 5.52080000e+00, 3.21600000e-01, 1.00232000e+01, 4.82400000e-01,\n", - " 7.22260000e+00, 6.56600000e-01, 2.85420000e+00, 5.36000000e-02,\n", - " 1.74200000e-01, 4.55600000e-01, 1.87600000e-01, 3.04180000e+00,\n", - " 1.84920000e+00, 1.46060000e+00, 2.14400000e-01, 5.76200000e-01,\n", - " 4.02000000e-02, 2.46560000e+00, 6.83400000e-01, 8.04000000e-02,\n", - " 1.12560000e+00, 3.92620000e+00, 1.39360000e+00, 1.34000000e-02,\n", - " 5.81560000e+00, 4.02000000e-01, 4.10040000e+00, 6.70000000e-02,\n", - " 4.02000000e-02, 5.22600000e-01, 2.43880000e+00, 3.75200000e-01,\n", - " 1.01840000e+00, 2.37180000e+00, 1.20600000e-01, 1.60800000e-01,\n", - " 8.46880000e+00, 5.36000000e-02, 5.36000000e-02, 4.28800000e-01,\n", - " 4.95800000e-01, 4.28800000e-01, 1.47400000e-01, 7.23600000e-01,\n", - " 6.16400000e-01, 8.57600000e-01, 6.43200000e-01, 1.84920000e+00,\n", - " 3.33660000e+00, 2.54600000e-01, 1.34000000e-01, 3.48400000e-01,\n", - " 5.76200000e-01, 5.89600000e-01, 1.92960000e+00, 2.27800000e-01,\n", - " 1.20600000e-01, 6.56600000e-01, 3.41700000e+00, 1.11220000e+00,\n", - " 6.29800000e-01, 2.37448000e+01, 2.68000000e-02, 2.94800000e-01,\n", - " 2.81400000e-01, 8.04000000e-02, 9.38000000e-02, 1.20600000e-01,\n", - " 1.07200000e-01, 7.77200000e-01, 1.87600000e-01, 2.49240000e+00,\n", - " 1.28908000e+01, 7.37000000e-01, 2.54600000e-01, 8.71000000e-01,\n", - " 4.64980000e+00, 3.61800000e-01, 2.27800000e-01, 1.00500000e+00,\n", - " 2.01000000e-01, 1.16580000e+00, 1.98320000e+00, 1.62140000e+00,\n", - " 1.47400000e-01, 7.50400000e-01, 5.22600000e-01, 3.88600000e-01,\n", - " 6.29800000e-01, 3.51080000e+00, 7.50400000e-01, 1.21940000e+00,\n", - " 1.98320000e+00, 2.41200000e+00, 1.87600000e-01, 5.36000000e-01,\n", - " 2.22440000e+00, 2.03680000e+00, 7.26280000e+00, 1.74200000e-01,\n", - " 2.66660000e+00, 3.21600000e-01, 7.90600000e-01, 1.11220000e+00,\n", - " 2.68000000e-01, 1.11220000e+00, 4.02000000e-01, 3.35000000e-01,\n", - " 9.38000000e-01, 1.05860000e+00, 2.41200000e-01, 1.07200000e-01,\n", - " 8.57600000e-01, 1.51420000e+00, 9.51400000e-01, 6.29800000e-01,\n", - " 3.61800000e-01, 4.02000000e-02, 1.52760000e+00, 4.30140000e+00,\n", - " 5.76200000e-01, 2.94800000e-01, 1.34000000e-02, 8.84400000e-01,\n", - " 6.29800000e-01, 2.01000000e-01, 2.41200000e-01, 1.05860000e+00,\n", - " 3.21600000e-01, 6.86080000e+00, 6.29800000e-01, 2.41200000e-01,\n", - " 0.00000000e+00, 1.36680000e+00, 3.21600000e-01, 4.28800000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.42384892e+03, -2.52731782e+03, 6.53392165e+00, -7.56589201e+01,\n", - " 0.00000000e+00, 0.00000000e+00, -6.13364479e+01, 0.00000000e+00,\n", - " 0.00000000e+00, -5.29758586e+01, 0.00000000e+00, -7.24940700e+02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 8.97800000e-01, 4.19420000e+00, 8.18740000e+00, 5.80220000e+00,\n", - " 3.08200000e-01, 5.62800000e-01, 3.75200000e-01, 7.90600000e-01,\n", - " 1.29980000e+00, 2.01000000e-01, 7.90600000e-01, 6.29800000e-01,\n", - " 1.40968000e+01, 5.36000000e-02, 1.87600000e-01, 1.20600000e-01,\n", - " 7.03500000e+00, 5.06520000e+00, 7.63800000e-01, 1.19260000e+00,\n", - " 2.81400000e-01, 1.47400000e-01, 8.04000000e-02, 0.00000000e+00,\n", - " 2.68000000e-01, 8.84400000e-01, 6.70000000e-02, 5.15900000e+00,\n", - " 1.00500000e+00, 4.14060000e+00, 2.19760000e+00, 1.67500000e+00,\n", - " 1.84920000e+00, 8.04000000e-02, 0.00000000e+00, 9.38000000e-02,\n", - " 1.04520000e+00, 4.82400000e-01, 2.41200000e-01, 1.74200000e-01,\n", - " 6.03000000e-01, 5.62800000e-01, 1.51420000e+00, 3.18920000e+00,\n", - " 5.09200000e-01, 5.29300000e+00, 1.67500000e+00, 6.74020000e+00,\n", - " 8.44200000e-01, 2.35572000e+01, 1.47400000e-01, 1.87600000e-01,\n", - " 6.16400000e-01, 4.42200000e-01, 9.91600000e-01, 2.41200000e-01,\n", - " 8.84400000e-01, 7.04840000e+00, 1.22342000e+01, 3.28300000e+00,\n", - " 2.29140000e+00, 2.01000000e+00, 8.04000000e-01, 3.43040000e+00,\n", - " 4.15400000e-01, 3.35000000e-01, 3.26960000e+00, 2.78720000e+00,\n", - " 1.34000000e-01, 0.00000000e+00, 6.16400000e-01, 6.29800000e-01,\n", - " 5.36000000e-02, 1.47400000e-01, 1.12560000e+00, 2.30480000e+00,\n", - " 1.36680000e+00, 4.42200000e-01, 4.55600000e-01, 3.37680000e+00,\n", - " 7.85240000e+00, 6.98140000e+00, 1.52760000e+00, 2.46560000e+00,\n", - " 2.88100000e+00, 3.21600000e+00, 3.61800000e-01, 7.50400000e-01,\n", - " 1.34000000e-01, 1.60800000e-01, 2.41200000e-01, 0.00000000e+00,\n", - " 6.70000000e-02, 1.87600000e-01, 2.72020000e+00, 7.10200000e-01,\n", - " 8.04000000e-02, 0.00000000e+00, 2.01000000e-01, 2.18420000e+00,\n", - " 1.74200000e+00, 6.21760000e+00, 8.14720000e+00, 1.51420000e+00,\n", - " 2.41200000e-01, 1.20600000e-01, 6.29800000e-01, 1.20600000e-01,\n", - " 3.60460000e+00, 2.80060000e+00, 8.57600000e-01, 6.96800000e-01,\n", - " 7.30300000e+00, 1.47400000e+00, 0.00000000e+00, 3.52420000e+00,\n", - " 2.31820000e+00, 1.14436000e+01, 1.84920000e+00, 5.48060000e+00,\n", - " 1.13900000e+00, 1.55440000e+00, 4.24780000e+00, 7.12880000e+00,\n", - " 6.37840000e+00, 1.27702000e+01, 1.90280000e+00, 8.17400000e-01,\n", - " 5.42700000e+00, 6.72680000e+00, 2.29140000e+00, 1.25960000e+00,\n", - " 2.68000000e-01, 1.07200000e+00, 1.99660000e+00, 1.39360000e+00,\n", - " 1.17920000e+00, 3.48400000e+00, 9.91600000e-01, 3.35000000e-01,\n", - " 6.65980000e+00, 5.66820000e+00, 4.97140000e+00, 5.19920000e+00,\n", - " 7.90600000e-01, 8.97800000e-01, 1.74200000e-01, 4.69000000e-01,\n", - " 9.64800000e-01, 1.84920000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.33062000e+01, 1.93496000e+01, 4.20090000e+01, 1.09880000e+00,\n", - " 1.20600000e+00, 6.56600000e-01, 1.47400000e-01, 1.60800000e-01,\n", - " 4.02000000e-01, 3.48400000e-01, 2.15740000e+00, 1.96980000e+00,\n", - " 1.84920000e+00, 5.36000000e-01, 1.38824000e+01, 2.54198000e+01,\n", - " 3.88600000e-01, 3.35000000e-01, 8.97800000e-01, 3.61800000e-01,\n", - " 4.02000000e-01, 9.51400000e-01, 1.79560000e+00, 6.43200000e-01,\n", - " 9.11200000e-01, 9.38000000e-01, 1.20600000e-01, 2.29140000e+00,\n", - " 2.94800000e-01, 7.10200000e-01, 8.44200000e-01, 2.18420000e+00,\n", - " 1.70180000e+00, 1.47400000e-01, 2.53260000e+00, 7.63800000e-01,\n", - " 5.49400000e-01, 6.03000000e-01, 1.42040000e+00, 7.23600000e-01,\n", - " 1.56780000e+00, 8.04000000e-02, 7.37000000e-01, 4.55600000e-01,\n", - " 6.43200000e-01, 2.27800000e-01, 2.62506000e+01, 6.70000000e-01,\n", - " 5.89600000e-01, 2.68000000e+01, 9.64800000e-01, 1.74200000e-01,\n", - " 0.00000000e+00, 1.74200000e-01, 8.04000000e-02, 6.70000000e-01,\n", - " 9.24600000e-01, 1.87600000e-01, 7.10200000e-01, 8.84400000e+00,\n", - " 5.64140000e+00, 6.82060000e+00, 2.37984000e+01, 2.06628000e+01,\n", - " 5.62800000e-01, 3.21600000e-01, 5.41360000e+00, 3.48400000e+00,\n", - " 1.17786000e+01, 8.36160000e+00, 1.20600000e-01, 2.94800000e+00,\n", - " 8.44200000e-01, 1.19662000e+01, 6.70000000e-02, 9.38000000e-02,\n", - " 1.47400000e-01, 6.70000000e-02, 4.22100000e+00, 3.33660000e+00,\n", - " 3.35000000e+00, 1.05190000e+01, 5.49400000e-01, 1.34000000e-01,\n", - " 5.23940000e+00, 1.74200000e-01, 5.49400000e-01, 8.45540000e+00,\n", - " 5.76200000e-01, 5.36000000e-01, 5.09200000e-01, 5.89600000e-01,\n", - " 3.08200000e-01, 6.84740000e+00, 3.88600000e+00, 1.20600000e+00,\n", - " 1.83580000e+00, 6.43200000e-01, 1.20600000e-01, 3.43040000e+00,\n", - " 2.14400000e+00, 4.89100000e+00, 4.82400000e-01, 8.57600000e-01,\n", - " 3.08200000e-01, 4.95800000e-01, 1.00500000e+00, 3.84580000e+00,\n", - " 1.08540000e+00, 3.95300000e+00, 1.51420000e+00, 5.62800000e-01,\n", - " 1.17920000e+00, 2.02340000e+00, 3.37680000e+00, 9.21920000e+00,\n", - " 1.03180000e+00, 4.89100000e+00, 4.55600000e-01, 4.42200000e-01,\n", - " 1.20600000e+00, 2.45220000e+00, 9.38000000e-01, 2.78720000e+00,\n", - " 1.87600000e-01, 6.29800000e-01, 3.48400000e+00, 1.82240000e+00,\n", - " 2.27800000e-01, 4.15400000e-01, 1.46060000e+00, 8.44200000e-01,\n", - " 1.59460000e+00, 1.07200000e+00, 1.47400000e-01, 4.69000000e-01,\n", - " 1.07200000e-01, 1.34000000e-02, 5.44040000e+00, 7.27620000e+00,\n", - " 3.48400000e-01, 2.54600000e-01, 1.60934000e+01, 7.26280000e+00,\n", - " 1.38020000e+00, 5.44040000e+00, 8.44200000e-01, 2.84080000e+00,\n", - " 3.75200000e-01, 3.35000000e-01, 3.79220000e+00, 4.55600000e-01,\n", - " 1.74200000e-01, 2.63980000e+00, 1.48740000e+00, 6.96800000e-01,\n", - " 6.13720000e+00, 2.14400000e-01, 4.95800000e-01, 2.54600000e-01,\n", - " 3.61800000e-01, 1.34000000e-01, 8.37500000e+00, 4.36840000e+00,\n", - " 4.95800000e-01, 2.27800000e-01, 3.56440000e+00, 3.75200000e-01,\n", - " 1.78220000e+00, 1.34000000e-02, 1.64820000e+00, 2.11720000e+00,\n", - " 6.03000000e-01, 1.99660000e+00, 3.35000000e-01, 1.06530000e+01,\n", - " 4.55600000e-01, 4.42200000e-01, 4.15400000e-01, 1.53296000e+01,\n", - " 4.69000000e-01, 1.11220000e+00, 1.20600000e-01, 6.70000000e-02,\n", - " 3.71180000e+00, 1.32660000e+00, 1.07200000e-01, 0.00000000e+00,\n", - " 4.71680000e+00, 2.43880000e+00, 7.02160000e+00, 3.05520000e+00,\n", - " 8.04000000e-02, 5.36000000e-02, 4.02000000e-01, 1.82240000e+00,\n", - " 2.15740000e+00, 3.35000000e-01, 0.00000000e+00, 1.20600000e-01,\n", - " 1.25960000e+00, 2.41200000e-01, 4.28800000e-01, 7.10200000e-01,\n", - " 4.70340000e+00, 3.08200000e+00, 9.38000000e-02, 3.21600000e-01,\n", - " 1.74200000e-01, 1.34000000e-01, 1.34000000e-01, 4.02000000e-01,\n", - " 4.02000000e-01, 5.15900000e+00, 4.91780000e+00, 3.75200000e-01,\n", - " 5.22600000e-01, 2.01000000e-01, 1.47400000e-01, 4.42200000e-01,\n", - " 1.34000000e-01, 1.34000000e-01, 9.11200000e-01, 6.96800000e-01,\n", - " 9.51400000e-01, 1.19260000e+00, 1.01706000e+01, 2.09040000e+00,\n", - " 1.84920000e+00, 1.92960000e+00, 3.60460000e+00, 2.68000000e-01,\n", - " 1.74200000e+00, 4.97140000e+00, 3.48400000e-01, 1.41504000e+01,\n", - " 1.05994000e+01, 6.49900000e+00, 7.23600000e-01, 2.01000000e-01,\n", - " 1.18590000e+01, 3.00160000e+00, 4.99820000e+00, 1.09880000e+00,\n", - " 2.54600000e-01, 4.10040000e+00, 3.29640000e+00, 1.34000000e-01,\n", - " 5.36000000e-02, 4.02000000e-02, 1.20600000e+00, 5.36000000e-02,\n", - " 5.58780000e+00, 1.19796000e+01, 5.36000000e-01, 1.09880000e+00,\n", - " 2.46560000e+00, 6.70000000e-02, 3.08200000e-01, 3.61800000e+00,\n", - " 3.88600000e-01, 6.43200000e-01, 1.38020000e+00, 7.51740000e+00,\n", - " 4.14060000e+00, 8.57600000e-01, 1.35340000e+00, 1.79560000e+00,\n", - " 2.01000000e-01, 9.11200000e-01, 1.15240000e+00, 4.82400000e-01,\n", - " 6.70000000e-02, 7.23600000e-01, 3.48400000e-01, 3.35000000e-01,\n", - " 7.63800000e-01, 9.51400000e-01, 1.40700000e+00, 3.75200000e-01,\n", - " 4.02000000e-02, 5.09200000e-01, 6.47220000e+00, 3.61800000e-01,\n", - " 3.16240000e+00, 3.21600000e-01, 1.15240000e+00, 6.56600000e+00,\n", - " 1.03046000e+01, 2.30480000e+00, 4.39520000e+00, 5.09200000e-01,\n", - " 4.69000000e-01, 3.35000000e-01, 2.45220000e+00, 4.02000000e-01,\n", - " 4.28800000e-01, 2.41200000e-01, 6.70000000e-01, 6.43200000e-01,\n", - " 6.83400000e+00, 1.96980000e+00, 7.77200000e-01, 1.34000000e-02,\n", - " 6.56600000e-01, 2.47900000e+00, 2.85420000e+00, 2.68000000e+00,\n", - " 2.54600000e-01, 9.91600000e-01, 1.87600000e+00, 3.35000000e-01,\n", - " 8.44200000e-01, 5.09200000e-01, 2.27800000e-01, 3.75200000e-01,\n", - " 8.17400000e-01, 6.29800000e-01, 5.49400000e-01, 1.07200000e-01,\n", - " 4.03340000e+00, 5.13220000e+00, 2.01000000e-01, 2.14400000e-01,\n", - " 4.69000000e-01, 1.49812000e+01, 8.10700000e+00, 1.74200000e-01,\n", - " 5.72180000e+00, 2.97480000e+00, 1.34000000e-02, 5.76200000e-01,\n", - " 3.21600000e-01, 2.73360000e+00, 4.02000000e+00, 5.52080000e+00,\n", - " 3.75200000e-01, 1.07334000e+01, 1.83580000e+00, 7.77200000e+00,\n", - " 1.00500000e+00, 1.40700000e+00, 5.98980000e+00, 4.52920000e+00,\n", - " 1.86260000e+00, 2.13060000e+00, 0.00000000e+00, 1.34000000e+00,\n", - " 1.19260000e+00, 1.60800000e-01, 8.04000000e-02, 1.47400000e-01,\n", - " 2.27800000e-01, 4.28800000e-01, 8.84400000e-01, 6.03000000e-01,\n", - " 5.09200000e-01, 2.39860000e+00, 2.61300000e+00, 5.36000000e-02,\n", - " 5.22600000e-01, 7.23600000e-01, 3.21600000e-01, 4.95800000e-01,\n", - " 2.68000000e-01, 8.71000000e-01, 2.23780000e+00, 3.21600000e-01,\n", - " 2.54600000e-01, 1.46864000e+01, 5.76200000e-01, 4.95800000e-01,\n", - " 4.28800000e-01, 2.74700000e+00, 6.29800000e-01, 2.27800000e-01,\n", - " 1.92960000e+00, 5.09200000e-01, 3.55100000e+00, 9.38000000e-01,\n", - " 8.02660000e+00, 5.80220000e+00, 5.49400000e+00, 4.95800000e-01,\n", - " 5.36000000e-02, 6.29800000e-01, 1.47400000e-01, 3.61800000e-01,\n", - " 7.45040000e+00, 3.88600000e-01, 4.02000000e-02, 2.14400000e-01,\n", - " 4.98480000e+00, 1.25960000e+00, 2.94800000e-01, 1.01840000e+00,\n", - " 4.93120000e+00, 8.95120000e+00, 1.64016000e+01, 1.90280000e+00,\n", - " 8.62960000e+00, 1.15910000e+01, 1.00500000e+00, 5.22600000e-01,\n", - " 1.40700000e+00, 1.96712000e+01, 1.05056000e+01, 5.36000000e-02,\n", - " 6.03000000e-01, 8.84400000e-01, 3.75200000e-01, 1.71520000e+00,\n", - " 7.77200000e-01, 1.34000000e+00, 1.48740000e+00, 7.91940000e+00,\n", - " 1.86260000e+00, 1.07200000e-01, 2.25120000e+00, 3.55100000e+00,\n", - " 2.13060000e+00, 1.86260000e+00, 1.20600000e-01, 1.03180000e+00,\n", - " 6.29800000e-01, 2.27800000e-01, 1.20600000e-01, 9.90260000e+00,\n", - " 7.23600000e-01, 2.81400000e-01, 9.38000000e-01, 1.79560000e+00,\n", - " 1.05994000e+01, 5.92280000e+00, 9.24600000e-01, 1.28640000e+00,\n", - " 5.19920000e+00, 7.37000000e-01, 1.25960000e+00, 4.02000000e+00,\n", - " 3.40360000e+00, 4.95800000e-01, 6.17740000e+00, 5.62800000e-01,\n", - " 1.23012000e+01, 6.56600000e-01, 1.96980000e+00, 9.38000000e-02,\n", - " 6.70000000e-02, 1.74200000e-01, 1.01840000e+00, 6.83400000e-01,\n", - " 1.09880000e+00, 6.03000000e-01, 4.69000000e-01, 5.76200000e-01,\n", - " 2.02340000e+00, 6.96800000e-01, 2.81400000e-01, 2.68000000e+00,\n", - " 2.27800000e-01, 8.60280000e+00, 2.07700000e+00, 2.11720000e+00,\n", - " 4.95800000e-01, 7.77200000e-01, 2.94800000e-01, 9.56760000e+00,\n", - " 3.75200000e-01, 1.74200000e-01, 1.99660000e+00, 1.77416000e+01,\n", - " 2.68000000e-01, 4.28800000e-01, 5.36000000e-02, 8.20080000e+00,\n", - " 1.34000000e-01, 1.84920000e+00, 2.68000000e-01, 7.38340000e+00,\n", - " 3.00160000e+00, 1.20600000e-01, 2.68000000e-02, 4.95800000e+00,\n", - " 9.38000000e-02, 8.17400000e-01, 2.73360000e+00, 7.23600000e-01,\n", - " 3.30980000e+00, 1.11220000e+00, 2.35840000e+00, 3.75200000e-01,\n", - " 6.96800000e-01, 1.20600000e-01, 1.01974000e+01, 1.04520000e+01,\n", - " 2.26460000e+00, 5.56100000e+00, 1.14168000e+01, 4.42200000e-01,\n", - " 6.70000000e-02, 2.27800000e-01, 4.69000000e-01, 6.03000000e-01,\n", - " 2.01000000e-01, 8.04000000e-02, 4.42200000e-01, 1.07200000e+00,\n", - " 1.48740000e+00, 4.42200000e-01, 2.41200000e-01, 2.27800000e-01,\n", - " 3.08200000e-01, 4.02000000e-02, 9.91600000e-01, 5.09200000e-01,\n", - " 2.41200000e-01, 1.24620000e+00, 1.07200000e-01, 1.91620000e+00,\n", - " 3.26960000e+00, 1.19260000e+00, 3.10880000e+00, 5.64140000e+00,\n", - " 1.78220000e+00, 8.57600000e+00, 9.38000000e-01, 1.64820000e+00,\n", - " 3.21600000e+00, 1.29980000e+00, 6.16400000e-01, 7.77200000e-01,\n", - " 3.48400000e-01, 4.42200000e-01, 1.34000000e-02, 4.95800000e-01,\n", - " 2.27800000e-01, 1.20600000e-01, 5.49400000e-01, 2.50580000e+00,\n", - " 5.89600000e-01, 4.82400000e-01, 2.01000000e-01, 8.71000000e-01,\n", - " 5.73520000e+00, 2.42540000e+00, 6.56600000e-01, 1.59460000e+00,\n", - " 4.69000000e-01, 1.17920000e+01, 8.30800000e-01, 4.00660000e+00,\n", - " 8.04000000e-01, 1.01840000e+00, 4.15400000e-01, 1.17920000e+00,\n", - " 6.16400000e-01, 4.42200000e-01, 1.50080000e+00, 8.04000000e-02,\n", - " 2.41200000e-01, 6.29800000e-01, 4.69000000e-01, 6.16400000e-01,\n", - " 1.74200000e-01, 8.97800000e-01, 5.36000000e+00, 1.54100000e+00,\n", - " 2.42540000e+00, 1.46060000e+00, 8.44200000e-01, 1.84920000e+00,\n", - " 6.17740000e+00, 4.70340000e+00, 3.48400000e-01, 1.39360000e+00,\n", - " 7.10200000e-01, 9.24600000e-01, 2.09040000e+00, 3.97980000e+00,\n", - " 4.02000000e-02, 6.70000000e-02, 4.73020000e+00, 4.87760000e+00,\n", - " 7.50400000e-01, 9.38000000e-02, 5.22600000e-01, 3.48400000e-01,\n", - " 4.02000000e-02, 9.38000000e-02, 4.02000000e-01, 4.69000000e-01,\n", - " 5.31980000e+00, 2.57280000e+00, 2.81400000e-01, 7.90600000e-01,\n", - " 5.52080000e+00, 3.21600000e-01, 1.00232000e+01, 4.82400000e-01,\n", - " 7.22260000e+00, 6.56600000e-01, 2.85420000e+00, 5.36000000e-02,\n", - " 1.74200000e-01, 4.55600000e-01, 1.87600000e-01, 3.04180000e+00,\n", - " 1.84920000e+00, 1.46060000e+00, 2.14400000e-01, 5.76200000e-01,\n", - " 4.02000000e-02, 2.46560000e+00, 6.83400000e-01, 8.04000000e-02,\n", - " 1.12560000e+00, 3.92620000e+00, 1.39360000e+00, 1.34000000e-02,\n", - " 5.81560000e+00, 4.02000000e-01, 4.10040000e+00, 6.70000000e-02,\n", - " 4.02000000e-02, 5.22600000e-01, 2.43880000e+00, 3.75200000e-01,\n", - " 1.01840000e+00, 2.37180000e+00, 1.20600000e-01, 1.60800000e-01,\n", - " 8.46880000e+00, 5.36000000e-02, 5.36000000e-02, 4.28800000e-01,\n", - " 4.95800000e-01, 4.28800000e-01, 1.47400000e-01, 7.23600000e-01,\n", - " 6.16400000e-01, 8.57600000e-01, 6.43200000e-01, 1.84920000e+00,\n", - " 3.33660000e+00, 2.54600000e-01, 1.34000000e-01, 3.48400000e-01,\n", - " 5.76200000e-01, 5.89600000e-01, 1.92960000e+00, 2.27800000e-01,\n", - " 1.20600000e-01, 6.56600000e-01, 3.41700000e+00, 1.11220000e+00,\n", - " 6.29800000e-01, 2.37448000e+01, 2.68000000e-02, 2.94800000e-01,\n", - " 2.81400000e-01, 8.04000000e-02, 9.38000000e-02, 1.20600000e-01,\n", - " 1.07200000e-01, 7.77200000e-01, 1.87600000e-01, 2.49240000e+00,\n", - " 1.28908000e+01, 7.37000000e-01, 2.54600000e-01, 8.71000000e-01,\n", - " 4.64980000e+00, 3.61800000e-01, 2.27800000e-01, 1.00500000e+00,\n", - " 2.01000000e-01, 1.16580000e+00, 1.98320000e+00, 1.62140000e+00,\n", - " 1.47400000e-01, 7.50400000e-01, 5.22600000e-01, 3.88600000e-01,\n", - " 6.29800000e-01, 3.51080000e+00, 7.50400000e-01, 1.21940000e+00,\n", - " 1.98320000e+00, 2.41200000e+00, 1.87600000e-01, 5.36000000e-01,\n", - " 2.22440000e+00, 2.03680000e+00, 7.26280000e+00, 1.74200000e-01,\n", - " 2.66660000e+00, 3.21600000e-01, 7.90600000e-01, 1.11220000e+00,\n", - " 2.68000000e-01, 1.11220000e+00, 4.02000000e-01, 3.35000000e-01,\n", - " 9.38000000e-01, 1.05860000e+00, 2.41200000e-01, 1.07200000e-01,\n", - " 8.57600000e-01, 1.51420000e+00, 9.51400000e-01, 6.29800000e-01,\n", - " 3.61800000e-01, 4.02000000e-02, 1.52760000e+00, 4.30140000e+00,\n", - " 5.76200000e-01, 2.94800000e-01, 1.34000000e-02, 8.84400000e-01,\n", - " 6.29800000e-01, 2.01000000e-01, 2.41200000e-01, 1.05860000e+00,\n", - " 3.21600000e-01, 6.86080000e+00, 6.29800000e-01, 2.41200000e-01,\n", - " 0.00000000e+00, 1.36680000e+00, 3.21600000e-01, 4.28800000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.22051443e+03, -2.52731782e+03, -6.91799729e+00, -8.27161069e+01,\n", - " 0.00000000e+00, 0.00000000e+00, -7.03774938e+01, -4.82133569e+02,\n", - " 0.00000000e+00, -6.28974452e+01, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 8.84400000e-01, 4.13160000e+00, 8.06520000e+00, 5.71560000e+00,\n", - " 3.03600000e-01, 5.54400000e-01, 3.69600000e-01, 7.78800000e-01,\n", - " 1.28040000e+00, 1.98000000e-01, 7.78800000e-01, 6.20400000e-01,\n", - " 1.38864000e+01, 5.28000000e-02, 1.84800000e-01, 1.18800000e-01,\n", - " 6.93000000e+00, 4.98960000e+00, 7.52400000e-01, 1.17480000e+00,\n", - " 2.77200000e-01, 1.45200000e-01, 7.92000000e-02, 0.00000000e+00,\n", - " 2.64000000e-01, 8.71200000e-01, 6.60000000e-02, 5.08200000e+00,\n", - " 9.90000000e-01, 4.07880000e+00, 2.16480000e+00, 1.65000000e+00,\n", - " 1.82160000e+00, 7.92000000e-02, 0.00000000e+00, 9.24000000e-02,\n", - " 1.02960000e+00, 4.75200000e-01, 2.37600000e-01, 1.71600000e-01,\n", - " 5.94000000e-01, 5.54400000e-01, 1.49160000e+00, 3.14160000e+00,\n", - " 5.01600000e-01, 5.21400000e+00, 1.65000000e+00, 6.63960000e+00,\n", - " 8.31600000e-01, 2.32056000e+01, 1.45200000e-01, 1.84800000e-01,\n", - " 6.07200000e-01, 4.35600000e-01, 9.76800000e-01, 2.37600000e-01,\n", - " 8.71200000e-01, 6.94320000e+00, 1.20516000e+01, 3.23400000e+00,\n", - " 2.25720000e+00, 1.98000000e+00, 7.92000000e-01, 3.37920000e+00,\n", - " 4.09200000e-01, 3.30000000e-01, 3.22080000e+00, 2.74560000e+00,\n", - " 1.32000000e-01, 0.00000000e+00, 6.07200000e-01, 6.20400000e-01,\n", - " 5.28000000e-02, 1.45200000e-01, 1.10880000e+00, 2.27040000e+00,\n", - " 1.34640000e+00, 4.35600000e-01, 4.48800000e-01, 3.32640000e+00,\n", - " 7.73520000e+00, 6.87720000e+00, 1.50480000e+00, 2.42880000e+00,\n", - " 2.83800000e+00, 3.16800000e+00, 3.56400000e-01, 7.39200000e-01,\n", - " 1.32000000e-01, 1.58400000e-01, 2.37600000e-01, 0.00000000e+00,\n", - " 6.60000000e-02, 1.84800000e-01, 2.67960000e+00, 6.99600000e-01,\n", - " 7.92000000e-02, 0.00000000e+00, 1.98000000e-01, 2.15160000e+00,\n", - " 1.71600000e+00, 6.12480000e+00, 8.02560000e+00, 1.49160000e+00,\n", - " 2.37600000e-01, 1.18800000e-01, 6.20400000e-01, 1.18800000e-01,\n", - " 3.55080000e+00, 2.75880000e+00, 8.44800000e-01, 6.86400000e-01,\n", - " 7.19400000e+00, 1.45200000e+00, 0.00000000e+00, 3.47160000e+00,\n", - " 2.28360000e+00, 1.12728000e+01, 1.82160000e+00, 5.39880000e+00,\n", - " 1.12200000e+00, 1.53120000e+00, 4.18440000e+00, 7.02240000e+00,\n", - " 6.28320000e+00, 1.25796000e+01, 1.87440000e+00, 8.05200000e-01,\n", - " 5.34600000e+00, 6.62640000e+00, 2.25720000e+00, 1.24080000e+00,\n", - " 2.64000000e-01, 1.05600000e+00, 1.96680000e+00, 1.37280000e+00,\n", - " 1.16160000e+00, 3.43200000e+00, 9.76800000e-01, 3.30000000e-01,\n", - " 6.56040000e+00, 5.58360000e+00, 4.89720000e+00, 5.12160000e+00,\n", - " 7.78800000e-01, 8.84400000e-01, 1.71600000e-01, 4.62000000e-01,\n", - " 9.50400000e-01, 1.82160000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.31076000e+01, 1.90608000e+01, 4.13820000e+01, 1.08240000e+00,\n", - " 1.18800000e+00, 6.46800000e-01, 1.45200000e-01, 1.58400000e-01,\n", - " 3.96000000e-01, 3.43200000e-01, 2.12520000e+00, 1.94040000e+00,\n", - " 1.82160000e+00, 5.28000000e-01, 1.36752000e+01, 2.50404000e+01,\n", - " 3.82800000e-01, 3.30000000e-01, 8.84400000e-01, 3.56400000e-01,\n", - " 3.96000000e-01, 9.37200000e-01, 1.76880000e+00, 6.33600000e-01,\n", - " 8.97600000e-01, 9.24000000e-01, 1.18800000e-01, 2.25720000e+00,\n", - " 2.90400000e-01, 6.99600000e-01, 8.31600000e-01, 2.15160000e+00,\n", - " 1.67640000e+00, 1.45200000e-01, 2.49480000e+00, 7.52400000e-01,\n", - " 5.41200000e-01, 5.94000000e-01, 1.39920000e+00, 7.12800000e-01,\n", - " 1.54440000e+00, 7.92000000e-02, 7.26000000e-01, 4.48800000e-01,\n", - " 6.33600000e-01, 2.24400000e-01, 2.58588000e+01, 6.60000000e-01,\n", - " 5.80800000e-01, 2.64000000e+01, 9.50400000e-01, 1.71600000e-01,\n", - " 0.00000000e+00, 1.71600000e-01, 7.92000000e-02, 6.60000000e-01,\n", - " 9.10800000e-01, 1.84800000e-01, 6.99600000e-01, 8.71200000e+00,\n", - " 5.55720000e+00, 6.71880000e+00, 2.34432000e+01, 2.03544000e+01,\n", - " 5.54400000e-01, 3.16800000e-01, 5.33280000e+00, 3.43200000e+00,\n", - " 1.16028000e+01, 8.23680000e+00, 1.18800000e-01, 2.90400000e+00,\n", - " 8.31600000e-01, 1.17876000e+01, 6.60000000e-02, 9.24000000e-02,\n", - " 1.45200000e-01, 6.60000000e-02, 4.15800000e+00, 3.28680000e+00,\n", - " 3.30000000e+00, 1.03620000e+01, 5.41200000e-01, 1.32000000e-01,\n", - " 5.16120000e+00, 1.71600000e-01, 5.41200000e-01, 8.32920000e+00,\n", - " 5.67600000e-01, 5.28000000e-01, 5.01600000e-01, 5.80800000e-01,\n", - " 3.03600000e-01, 6.74520000e+00, 3.82800000e+00, 1.18800000e+00,\n", - " 1.80840000e+00, 6.33600000e-01, 1.18800000e-01, 3.37920000e+00,\n", - " 2.11200000e+00, 4.81800000e+00, 4.75200000e-01, 8.44800000e-01,\n", - " 3.03600000e-01, 4.88400000e-01, 9.90000000e-01, 3.78840000e+00,\n", - " 1.06920000e+00, 3.89400000e+00, 1.49160000e+00, 5.54400000e-01,\n", - " 1.16160000e+00, 1.99320000e+00, 3.32640000e+00, 9.08160000e+00,\n", - " 1.01640000e+00, 4.81800000e+00, 4.48800000e-01, 4.35600000e-01,\n", - " 1.18800000e+00, 2.41560000e+00, 9.24000000e-01, 2.74560000e+00,\n", - " 1.84800000e-01, 6.20400000e-01, 3.43200000e+00, 1.79520000e+00,\n", - " 2.24400000e-01, 4.09200000e-01, 1.43880000e+00, 8.31600000e-01,\n", - " 1.57080000e+00, 1.05600000e+00, 1.45200000e-01, 4.62000000e-01,\n", - " 1.05600000e-01, 1.32000000e-02, 5.35920000e+00, 7.16760000e+00,\n", - " 3.43200000e-01, 2.50800000e-01, 1.58532000e+01, 7.15440000e+00,\n", - " 1.35960000e+00, 5.35920000e+00, 8.31600000e-01, 2.79840000e+00,\n", - " 3.69600000e-01, 3.30000000e-01, 3.73560000e+00, 4.48800000e-01,\n", - " 1.71600000e-01, 2.60040000e+00, 1.46520000e+00, 6.86400000e-01,\n", - " 6.04560000e+00, 2.11200000e-01, 4.88400000e-01, 2.50800000e-01,\n", - " 3.56400000e-01, 1.32000000e-01, 8.25000000e+00, 4.30320000e+00,\n", - " 4.88400000e-01, 2.24400000e-01, 3.51120000e+00, 3.69600000e-01,\n", - " 1.75560000e+00, 1.32000000e-02, 1.62360000e+00, 2.08560000e+00,\n", - " 5.94000000e-01, 1.96680000e+00, 3.30000000e-01, 1.04940000e+01,\n", - " 4.48800000e-01, 4.35600000e-01, 4.09200000e-01, 1.51008000e+01,\n", - " 4.62000000e-01, 1.09560000e+00, 1.18800000e-01, 6.60000000e-02,\n", - " 3.65640000e+00, 1.30680000e+00, 1.05600000e-01, 0.00000000e+00,\n", - " 4.64640000e+00, 2.40240000e+00, 6.91680000e+00, 3.00960000e+00,\n", - " 7.92000000e-02, 5.28000000e-02, 3.96000000e-01, 1.79520000e+00,\n", - " 2.12520000e+00, 3.30000000e-01, 0.00000000e+00, 1.18800000e-01,\n", - " 1.24080000e+00, 2.37600000e-01, 4.22400000e-01, 6.99600000e-01,\n", - " 4.63320000e+00, 3.03600000e+00, 9.24000000e-02, 3.16800000e-01,\n", - " 1.71600000e-01, 1.32000000e-01, 1.32000000e-01, 3.96000000e-01,\n", - " 3.96000000e-01, 5.08200000e+00, 4.84440000e+00, 3.69600000e-01,\n", - " 5.14800000e-01, 1.98000000e-01, 1.45200000e-01, 4.35600000e-01,\n", - " 1.32000000e-01, 1.32000000e-01, 8.97600000e-01, 6.86400000e-01,\n", - " 9.37200000e-01, 1.17480000e+00, 1.00188000e+01, 2.05920000e+00,\n", - " 1.82160000e+00, 1.90080000e+00, 3.55080000e+00, 2.64000000e-01,\n", - " 1.71600000e+00, 4.89720000e+00, 3.43200000e-01, 1.39392000e+01,\n", - " 1.04412000e+01, 6.40200000e+00, 7.12800000e-01, 1.98000000e-01,\n", - " 1.16820000e+01, 2.95680000e+00, 4.92360000e+00, 1.08240000e+00,\n", - " 2.50800000e-01, 4.03920000e+00, 3.24720000e+00, 1.32000000e-01,\n", - " 5.28000000e-02, 3.96000000e-02, 1.18800000e+00, 5.28000000e-02,\n", - " 5.50440000e+00, 1.18008000e+01, 5.28000000e-01, 1.08240000e+00,\n", - " 2.42880000e+00, 6.60000000e-02, 3.03600000e-01, 3.56400000e+00,\n", - " 3.82800000e-01, 6.33600000e-01, 1.35960000e+00, 7.40520000e+00,\n", - " 4.07880000e+00, 8.44800000e-01, 1.33320000e+00, 1.76880000e+00,\n", - " 1.98000000e-01, 8.97600000e-01, 1.13520000e+00, 4.75200000e-01,\n", - " 6.60000000e-02, 7.12800000e-01, 3.43200000e-01, 3.30000000e-01,\n", - " 7.52400000e-01, 9.37200000e-01, 1.38600000e+00, 3.69600000e-01,\n", - " 3.96000000e-02, 5.01600000e-01, 6.37560000e+00, 3.56400000e-01,\n", - " 3.11520000e+00, 3.16800000e-01, 1.13520000e+00, 6.46800000e+00,\n", - " 1.01508000e+01, 2.27040000e+00, 4.32960000e+00, 5.01600000e-01,\n", - " 4.62000000e-01, 3.30000000e-01, 2.41560000e+00, 3.96000000e-01,\n", - " 4.22400000e-01, 2.37600000e-01, 6.60000000e-01, 6.33600000e-01,\n", - " 6.73200000e+00, 1.94040000e+00, 7.65600000e-01, 1.32000000e-02,\n", - " 6.46800000e-01, 2.44200000e+00, 2.81160000e+00, 2.64000000e+00,\n", - " 2.50800000e-01, 9.76800000e-01, 1.84800000e+00, 3.30000000e-01,\n", - " 8.31600000e-01, 5.01600000e-01, 2.24400000e-01, 3.69600000e-01,\n", - " 8.05200000e-01, 6.20400000e-01, 5.41200000e-01, 1.05600000e-01,\n", - " 3.97320000e+00, 5.05560000e+00, 1.98000000e-01, 2.11200000e-01,\n", - " 4.62000000e-01, 1.47576000e+01, 7.98600000e+00, 1.71600000e-01,\n", - " 5.63640000e+00, 2.93040000e+00, 1.32000000e-02, 5.67600000e-01,\n", - " 3.16800000e-01, 2.69280000e+00, 3.96000000e+00, 5.43840000e+00,\n", - " 3.69600000e-01, 1.05732000e+01, 1.80840000e+00, 7.65600000e+00,\n", - " 9.90000000e-01, 1.38600000e+00, 5.90040000e+00, 4.46160000e+00,\n", - " 1.83480000e+00, 2.09880000e+00, 0.00000000e+00, 1.32000000e+00,\n", - " 1.17480000e+00, 1.58400000e-01, 7.92000000e-02, 1.45200000e-01,\n", - " 2.24400000e-01, 4.22400000e-01, 8.71200000e-01, 5.94000000e-01,\n", - " 5.01600000e-01, 2.36280000e+00, 2.57400000e+00, 5.28000000e-02,\n", - " 5.14800000e-01, 7.12800000e-01, 3.16800000e-01, 4.88400000e-01,\n", - " 2.64000000e-01, 8.58000000e-01, 2.20440000e+00, 3.16800000e-01,\n", - " 2.50800000e-01, 1.44672000e+01, 5.67600000e-01, 4.88400000e-01,\n", - " 4.22400000e-01, 2.70600000e+00, 6.20400000e-01, 2.24400000e-01,\n", - " 1.90080000e+00, 5.01600000e-01, 3.49800000e+00, 9.24000000e-01,\n", - " 7.90680000e+00, 5.71560000e+00, 5.41200000e+00, 4.88400000e-01,\n", - " 5.28000000e-02, 6.20400000e-01, 1.45200000e-01, 3.56400000e-01,\n", - " 7.33920000e+00, 3.82800000e-01, 3.96000000e-02, 2.11200000e-01,\n", - " 4.91040000e+00, 1.24080000e+00, 2.90400000e-01, 1.00320000e+00,\n", - " 4.85760000e+00, 8.81760000e+00, 1.61568000e+01, 1.87440000e+00,\n", - " 8.50080000e+00, 1.14180000e+01, 9.90000000e-01, 5.14800000e-01,\n", - " 1.38600000e+00, 1.93776000e+01, 1.03488000e+01, 5.28000000e-02,\n", - " 5.94000000e-01, 8.71200000e-01, 3.69600000e-01, 1.68960000e+00,\n", - " 7.65600000e-01, 1.32000000e+00, 1.46520000e+00, 7.80120000e+00,\n", - " 1.83480000e+00, 1.05600000e-01, 2.21760000e+00, 3.49800000e+00,\n", - " 2.09880000e+00, 1.83480000e+00, 1.18800000e-01, 1.01640000e+00,\n", - " 6.20400000e-01, 2.24400000e-01, 1.18800000e-01, 9.75480000e+00,\n", - " 7.12800000e-01, 2.77200000e-01, 9.24000000e-01, 1.76880000e+00,\n", - " 1.04412000e+01, 5.83440000e+00, 9.10800000e-01, 1.26720000e+00,\n", - " 5.12160000e+00, 7.26000000e-01, 1.24080000e+00, 3.96000000e+00,\n", - " 3.35280000e+00, 4.88400000e-01, 6.08520000e+00, 5.54400000e-01,\n", - " 1.21176000e+01, 6.46800000e-01, 1.94040000e+00, 9.24000000e-02,\n", - " 6.60000000e-02, 1.71600000e-01, 1.00320000e+00, 6.73200000e-01,\n", - " 1.08240000e+00, 5.94000000e-01, 4.62000000e-01, 5.67600000e-01,\n", - " 1.99320000e+00, 6.86400000e-01, 2.77200000e-01, 2.64000000e+00,\n", - " 2.24400000e-01, 8.47440000e+00, 2.04600000e+00, 2.08560000e+00,\n", - " 4.88400000e-01, 7.65600000e-01, 2.90400000e-01, 9.42480000e+00,\n", - " 3.69600000e-01, 1.71600000e-01, 1.96680000e+00, 1.74768000e+01,\n", - " 2.64000000e-01, 4.22400000e-01, 5.28000000e-02, 8.07840000e+00,\n", - " 1.32000000e-01, 1.82160000e+00, 2.64000000e-01, 7.27320000e+00,\n", - " 2.95680000e+00, 1.18800000e-01, 2.64000000e-02, 4.88400000e+00,\n", - " 9.24000000e-02, 8.05200000e-01, 2.69280000e+00, 7.12800000e-01,\n", - " 3.26040000e+00, 1.09560000e+00, 2.32320000e+00, 3.69600000e-01,\n", - " 6.86400000e-01, 1.18800000e-01, 1.00452000e+01, 1.02960000e+01,\n", - " 2.23080000e+00, 5.47800000e+00, 1.12464000e+01, 4.35600000e-01,\n", - " 6.60000000e-02, 2.24400000e-01, 4.62000000e-01, 5.94000000e-01,\n", - " 1.98000000e-01, 7.92000000e-02, 4.35600000e-01, 1.05600000e+00,\n", - " 1.46520000e+00, 4.35600000e-01, 2.37600000e-01, 2.24400000e-01,\n", - " 3.03600000e-01, 3.96000000e-02, 9.76800000e-01, 5.01600000e-01,\n", - " 2.37600000e-01, 1.22760000e+00, 1.05600000e-01, 1.88760000e+00,\n", - " 3.22080000e+00, 1.17480000e+00, 3.06240000e+00, 5.55720000e+00,\n", - " 1.75560000e+00, 8.44800000e+00, 9.24000000e-01, 1.62360000e+00,\n", - " 3.16800000e+00, 1.28040000e+00, 6.07200000e-01, 7.65600000e-01,\n", - " 3.43200000e-01, 4.35600000e-01, 1.32000000e-02, 4.88400000e-01,\n", - " 2.24400000e-01, 1.18800000e-01, 5.41200000e-01, 2.46840000e+00,\n", - " 5.80800000e-01, 4.75200000e-01, 1.98000000e-01, 8.58000000e-01,\n", - " 5.64960000e+00, 2.38920000e+00, 6.46800000e-01, 1.57080000e+00,\n", - " 4.62000000e-01, 1.16160000e+01, 8.18400000e-01, 3.94680000e+00,\n", - " 7.92000000e-01, 1.00320000e+00, 4.09200000e-01, 1.16160000e+00,\n", - " 6.07200000e-01, 4.35600000e-01, 1.47840000e+00, 7.92000000e-02,\n", - " 2.37600000e-01, 6.20400000e-01, 4.62000000e-01, 6.07200000e-01,\n", - " 1.71600000e-01, 8.84400000e-01, 5.28000000e+00, 1.51800000e+00,\n", - " 2.38920000e+00, 1.43880000e+00, 8.31600000e-01, 1.82160000e+00,\n", - " 6.08520000e+00, 4.63320000e+00, 3.43200000e-01, 1.37280000e+00,\n", - " 6.99600000e-01, 9.10800000e-01, 2.05920000e+00, 3.92040000e+00,\n", - " 3.96000000e-02, 6.60000000e-02, 4.65960000e+00, 4.80480000e+00,\n", - " 7.39200000e-01, 9.24000000e-02, 5.14800000e-01, 3.43200000e-01,\n", - " 3.96000000e-02, 9.24000000e-02, 3.96000000e-01, 4.62000000e-01,\n", - " 5.24040000e+00, 2.53440000e+00, 2.77200000e-01, 7.78800000e-01,\n", - " 5.43840000e+00, 3.16800000e-01, 9.87360000e+00, 4.75200000e-01,\n", - " 7.11480000e+00, 6.46800000e-01, 2.81160000e+00, 5.28000000e-02,\n", - " 1.71600000e-01, 4.48800000e-01, 1.84800000e-01, 2.99640000e+00,\n", - " 1.82160000e+00, 1.43880000e+00, 2.11200000e-01, 5.67600000e-01,\n", - " 3.96000000e-02, 2.42880000e+00, 6.73200000e-01, 7.92000000e-02,\n", - " 1.10880000e+00, 3.86760000e+00, 1.37280000e+00, 1.32000000e-02,\n", - " 5.72880000e+00, 3.96000000e-01, 4.03920000e+00, 6.60000000e-02,\n", - " 3.96000000e-02, 5.14800000e-01, 2.40240000e+00, 3.69600000e-01,\n", - " 1.00320000e+00, 2.33640000e+00, 1.18800000e-01, 1.58400000e-01,\n", - " 8.34240000e+00, 5.28000000e-02, 5.28000000e-02, 4.22400000e-01,\n", - " 4.88400000e-01, 4.22400000e-01, 1.45200000e-01, 7.12800000e-01,\n", - " 6.07200000e-01, 8.44800000e-01, 6.33600000e-01, 1.82160000e+00,\n", - " 3.28680000e+00, 2.50800000e-01, 1.32000000e-01, 3.43200000e-01,\n", - " 5.67600000e-01, 5.80800000e-01, 1.90080000e+00, 2.24400000e-01,\n", - " 1.18800000e-01, 6.46800000e-01, 3.36600000e+00, 1.09560000e+00,\n", - " 6.20400000e-01, 2.33904000e+01, 2.64000000e-02, 2.90400000e-01,\n", - " 2.77200000e-01, 7.92000000e-02, 9.24000000e-02, 1.18800000e-01,\n", - " 1.05600000e-01, 7.65600000e-01, 1.84800000e-01, 2.45520000e+00,\n", - " 1.26984000e+01, 7.26000000e-01, 2.50800000e-01, 8.58000000e-01,\n", - " 4.58040000e+00, 3.56400000e-01, 2.24400000e-01, 9.90000000e-01,\n", - " 1.98000000e-01, 1.14840000e+00, 1.95360000e+00, 1.59720000e+00,\n", - " 1.45200000e-01, 7.39200000e-01, 5.14800000e-01, 3.82800000e-01,\n", - " 6.20400000e-01, 3.45840000e+00, 7.39200000e-01, 1.20120000e+00,\n", - " 1.95360000e+00, 2.37600000e+00, 1.84800000e-01, 5.28000000e-01,\n", - " 2.19120000e+00, 2.00640000e+00, 7.15440000e+00, 1.71600000e-01,\n", - " 2.62680000e+00, 3.16800000e-01, 7.78800000e-01, 1.09560000e+00,\n", - " 2.64000000e-01, 1.09560000e+00, 3.96000000e-01, 3.30000000e-01,\n", - " 9.24000000e-01, 1.04280000e+00, 2.37600000e-01, 1.05600000e-01,\n", - " 8.44800000e-01, 1.49160000e+00, 9.37200000e-01, 6.20400000e-01,\n", - " 3.56400000e-01, 3.96000000e-02, 1.50480000e+00, 4.23720000e+00,\n", - " 5.67600000e-01, 2.90400000e-01, 1.32000000e-02, 8.71200000e-01,\n", - " 6.20400000e-01, 1.98000000e-01, 2.37600000e-01, 1.04280000e+00,\n", - " 3.16800000e-01, 6.75840000e+00, 6.20400000e-01, 2.37600000e-01,\n", - " 0.00000000e+00, 1.34640000e+00, 3.16800000e-01, 4.22400000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.21945241e+03, -2.52731782e+03, -5.29017308e+00, -8.03833294e+01,\n", - " 0.00000000e+00, 0.00000000e+00, -6.56038247e+01, -4.62956629e+02,\n", - " 0.00000000e+00, -5.97197688e+01, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 8.50230000e-01, 3.97197000e+00, 7.75359000e+00, 5.49477000e+00,\n", - " 2.91870000e-01, 5.32980000e-01, 3.55320000e-01, 7.48710000e-01,\n", - " 1.23093000e+00, 1.90350000e-01, 7.48710000e-01, 5.96430000e-01,\n", - " 1.33498800e+01, 5.07600000e-02, 1.77660000e-01, 1.14210000e-01,\n", - " 6.66225000e+00, 4.79682000e+00, 7.23330000e-01, 1.12941000e+00,\n", - " 2.66490000e-01, 1.39590000e-01, 7.61400000e-02, 0.00000000e+00,\n", - " 2.53800000e-01, 8.37540000e-01, 6.34500000e-02, 4.88565000e+00,\n", - " 9.51750000e-01, 3.92121000e+00, 2.08116000e+00, 1.58625000e+00,\n", - " 1.75122000e+00, 7.61400000e-02, 0.00000000e+00, 8.88300000e-02,\n", - " 9.89820000e-01, 4.56840000e-01, 2.28420000e-01, 1.64970000e-01,\n", - " 5.71050000e-01, 5.32980000e-01, 1.43397000e+00, 3.02022000e+00,\n", - " 4.82220000e-01, 5.01255000e+00, 1.58625000e+00, 6.38307000e+00,\n", - " 7.99470000e-01, 2.23090200e+01, 1.39590000e-01, 1.77660000e-01,\n", - " 5.83740000e-01, 4.18770000e-01, 9.39060000e-01, 2.28420000e-01,\n", - " 8.37540000e-01, 6.67494000e+00, 1.15859700e+01, 3.10905000e+00,\n", - " 2.16999000e+00, 1.90350000e+00, 7.61400000e-01, 3.24864000e+00,\n", - " 3.93390000e-01, 3.17250000e-01, 3.09636000e+00, 2.63952000e+00,\n", - " 1.26900000e-01, 0.00000000e+00, 5.83740000e-01, 5.96430000e-01,\n", - " 5.07600000e-02, 1.39590000e-01, 1.06596000e+00, 2.18268000e+00,\n", - " 1.29438000e+00, 4.18770000e-01, 4.31460000e-01, 3.19788000e+00,\n", - " 7.43634000e+00, 6.61149000e+00, 1.44666000e+00, 2.33496000e+00,\n", - " 2.72835000e+00, 3.04560000e+00, 3.42630000e-01, 7.10640000e-01,\n", - " 1.26900000e-01, 1.52280000e-01, 2.28420000e-01, 0.00000000e+00,\n", - " 6.34500000e-02, 1.77660000e-01, 2.57607000e+00, 6.72570000e-01,\n", - " 7.61400000e-02, 0.00000000e+00, 1.90350000e-01, 2.06847000e+00,\n", - " 1.64970000e+00, 5.88816000e+00, 7.71552000e+00, 1.43397000e+00,\n", - " 2.28420000e-01, 1.14210000e-01, 5.96430000e-01, 1.14210000e-01,\n", - " 3.41361000e+00, 2.65221000e+00, 8.12160000e-01, 6.59880000e-01,\n", - " 6.91605000e+00, 1.39590000e+00, 0.00000000e+00, 3.33747000e+00,\n", - " 2.19537000e+00, 1.08372600e+01, 1.75122000e+00, 5.19021000e+00,\n", - " 1.07865000e+00, 1.47204000e+00, 4.02273000e+00, 6.75108000e+00,\n", - " 6.04044000e+00, 1.20935700e+01, 1.80198000e+00, 7.74090000e-01,\n", - " 5.13945000e+00, 6.37038000e+00, 2.16999000e+00, 1.19286000e+00,\n", - " 2.53800000e-01, 1.01520000e+00, 1.89081000e+00, 1.31976000e+00,\n", - " 1.11672000e+00, 3.29940000e+00, 9.39060000e-01, 3.17250000e-01,\n", - " 6.30693000e+00, 5.36787000e+00, 4.70799000e+00, 4.92372000e+00,\n", - " 7.48710000e-01, 8.50230000e-01, 1.64970000e-01, 4.44150000e-01,\n", - " 9.13680000e-01, 1.75122000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.26011700e+01, 1.83243600e+01, 3.97831500e+01, 1.04058000e+00,\n", - " 1.14210000e+00, 6.21810000e-01, 1.39590000e-01, 1.52280000e-01,\n", - " 3.80700000e-01, 3.29940000e-01, 2.04309000e+00, 1.86543000e+00,\n", - " 1.75122000e+00, 5.07600000e-01, 1.31468400e+01, 2.40729300e+01,\n", - " 3.68010000e-01, 3.17250000e-01, 8.50230000e-01, 3.42630000e-01,\n", - " 3.80700000e-01, 9.00990000e-01, 1.70046000e+00, 6.09120000e-01,\n", - " 8.62920000e-01, 8.88300000e-01, 1.14210000e-01, 2.16999000e+00,\n", - " 2.79180000e-01, 6.72570000e-01, 7.99470000e-01, 2.06847000e+00,\n", - " 1.61163000e+00, 1.39590000e-01, 2.39841000e+00, 7.23330000e-01,\n", - " 5.20290000e-01, 5.71050000e-01, 1.34514000e+00, 6.85260000e-01,\n", - " 1.48473000e+00, 7.61400000e-02, 6.97950000e-01, 4.31460000e-01,\n", - " 6.09120000e-01, 2.15730000e-01, 2.48597100e+01, 6.34500000e-01,\n", - " 5.58360000e-01, 2.53800000e+01, 9.13680000e-01, 1.64970000e-01,\n", - " 0.00000000e+00, 1.64970000e-01, 7.61400000e-02, 6.34500000e-01,\n", - " 8.75610000e-01, 1.77660000e-01, 6.72570000e-01, 8.37540000e+00,\n", - " 5.34249000e+00, 6.45921000e+00, 2.25374400e+01, 1.95679800e+01,\n", - " 5.32980000e-01, 3.04560000e-01, 5.12676000e+00, 3.29940000e+00,\n", - " 1.11545100e+01, 7.91856000e+00, 1.14210000e-01, 2.79180000e+00,\n", - " 7.99470000e-01, 1.13321700e+01, 6.34500000e-02, 8.88300000e-02,\n", - " 1.39590000e-01, 6.34500000e-02, 3.99735000e+00, 3.15981000e+00,\n", - " 3.17250000e+00, 9.96165000e+00, 5.20290000e-01, 1.26900000e-01,\n", - " 4.96179000e+00, 1.64970000e-01, 5.20290000e-01, 8.00739000e+00,\n", - " 5.45670000e-01, 5.07600000e-01, 4.82220000e-01, 5.58360000e-01,\n", - " 2.91870000e-01, 6.48459000e+00, 3.68010000e+00, 1.14210000e+00,\n", - " 1.73853000e+00, 6.09120000e-01, 1.14210000e-01, 3.24864000e+00,\n", - " 2.03040000e+00, 4.63185000e+00, 4.56840000e-01, 8.12160000e-01,\n", - " 2.91870000e-01, 4.69530000e-01, 9.51750000e-01, 3.64203000e+00,\n", - " 1.02789000e+00, 3.74355000e+00, 1.43397000e+00, 5.32980000e-01,\n", - " 1.11672000e+00, 1.91619000e+00, 3.19788000e+00, 8.73072000e+00,\n", - " 9.77130000e-01, 4.63185000e+00, 4.31460000e-01, 4.18770000e-01,\n", - " 1.14210000e+00, 2.32227000e+00, 8.88300000e-01, 2.63952000e+00,\n", - " 1.77660000e-01, 5.96430000e-01, 3.29940000e+00, 1.72584000e+00,\n", - " 2.15730000e-01, 3.93390000e-01, 1.38321000e+00, 7.99470000e-01,\n", - " 1.51011000e+00, 1.01520000e+00, 1.39590000e-01, 4.44150000e-01,\n", - " 1.01520000e-01, 1.26900000e-02, 5.15214000e+00, 6.89067000e+00,\n", - " 3.29940000e-01, 2.41110000e-01, 1.52406900e+01, 6.87798000e+00,\n", - " 1.30707000e+00, 5.15214000e+00, 7.99470000e-01, 2.69028000e+00,\n", - " 3.55320000e-01, 3.17250000e-01, 3.59127000e+00, 4.31460000e-01,\n", - " 1.64970000e-01, 2.49993000e+00, 1.40859000e+00, 6.59880000e-01,\n", - " 5.81202000e+00, 2.03040000e-01, 4.69530000e-01, 2.41110000e-01,\n", - " 3.42630000e-01, 1.26900000e-01, 7.93125000e+00, 4.13694000e+00,\n", - " 4.69530000e-01, 2.15730000e-01, 3.37554000e+00, 3.55320000e-01,\n", - " 1.68777000e+00, 1.26900000e-02, 1.56087000e+00, 2.00502000e+00,\n", - " 5.71050000e-01, 1.89081000e+00, 3.17250000e-01, 1.00885500e+01,\n", - " 4.31460000e-01, 4.18770000e-01, 3.93390000e-01, 1.45173600e+01,\n", - " 4.44150000e-01, 1.05327000e+00, 1.14210000e-01, 6.34500000e-02,\n", - " 3.51513000e+00, 1.25631000e+00, 1.01520000e-01, 0.00000000e+00,\n", - " 4.46688000e+00, 2.30958000e+00, 6.64956000e+00, 2.89332000e+00,\n", - " 7.61400000e-02, 5.07600000e-02, 3.80700000e-01, 1.72584000e+00,\n", - " 2.04309000e+00, 3.17250000e-01, 0.00000000e+00, 1.14210000e-01,\n", - " 1.19286000e+00, 2.28420000e-01, 4.06080000e-01, 6.72570000e-01,\n", - " 4.45419000e+00, 2.91870000e+00, 8.88300000e-02, 3.04560000e-01,\n", - " 1.64970000e-01, 1.26900000e-01, 1.26900000e-01, 3.80700000e-01,\n", - " 3.80700000e-01, 4.88565000e+00, 4.65723000e+00, 3.55320000e-01,\n", - " 4.94910000e-01, 1.90350000e-01, 1.39590000e-01, 4.18770000e-01,\n", - " 1.26900000e-01, 1.26900000e-01, 8.62920000e-01, 6.59880000e-01,\n", - " 9.00990000e-01, 1.12941000e+00, 9.63171000e+00, 1.97964000e+00,\n", - " 1.75122000e+00, 1.82736000e+00, 3.41361000e+00, 2.53800000e-01,\n", - " 1.64970000e+00, 4.70799000e+00, 3.29940000e-01, 1.34006400e+01,\n", - " 1.00377900e+01, 6.15465000e+00, 6.85260000e-01, 1.90350000e-01,\n", - " 1.12306500e+01, 2.84256000e+00, 4.73337000e+00, 1.04058000e+00,\n", - " 2.41110000e-01, 3.88314000e+00, 3.12174000e+00, 1.26900000e-01,\n", - " 5.07600000e-02, 3.80700000e-02, 1.14210000e+00, 5.07600000e-02,\n", - " 5.29173000e+00, 1.13448600e+01, 5.07600000e-01, 1.04058000e+00,\n", - " 2.33496000e+00, 6.34500000e-02, 2.91870000e-01, 3.42630000e+00,\n", - " 3.68010000e-01, 6.09120000e-01, 1.30707000e+00, 7.11909000e+00,\n", - " 3.92121000e+00, 8.12160000e-01, 1.28169000e+00, 1.70046000e+00,\n", - " 1.90350000e-01, 8.62920000e-01, 1.09134000e+00, 4.56840000e-01,\n", - " 6.34500000e-02, 6.85260000e-01, 3.29940000e-01, 3.17250000e-01,\n", - " 7.23330000e-01, 9.00990000e-01, 1.33245000e+00, 3.55320000e-01,\n", - " 3.80700000e-02, 4.82220000e-01, 6.12927000e+00, 3.42630000e-01,\n", - " 2.99484000e+00, 3.04560000e-01, 1.09134000e+00, 6.21810000e+00,\n", - " 9.75861000e+00, 2.18268000e+00, 4.16232000e+00, 4.82220000e-01,\n", - " 4.44150000e-01, 3.17250000e-01, 2.32227000e+00, 3.80700000e-01,\n", - " 4.06080000e-01, 2.28420000e-01, 6.34500000e-01, 6.09120000e-01,\n", - " 6.47190000e+00, 1.86543000e+00, 7.36020000e-01, 1.26900000e-02,\n", - " 6.21810000e-01, 2.34765000e+00, 2.70297000e+00, 2.53800000e+00,\n", - " 2.41110000e-01, 9.39060000e-01, 1.77660000e+00, 3.17250000e-01,\n", - " 7.99470000e-01, 4.82220000e-01, 2.15730000e-01, 3.55320000e-01,\n", - " 7.74090000e-01, 5.96430000e-01, 5.20290000e-01, 1.01520000e-01,\n", - " 3.81969000e+00, 4.86027000e+00, 1.90350000e-01, 2.03040000e-01,\n", - " 4.44150000e-01, 1.41874200e+01, 7.67745000e+00, 1.64970000e-01,\n", - " 5.41863000e+00, 2.81718000e+00, 1.26900000e-02, 5.45670000e-01,\n", - " 3.04560000e-01, 2.58876000e+00, 3.80700000e+00, 5.22828000e+00,\n", - " 3.55320000e-01, 1.01646900e+01, 1.73853000e+00, 7.36020000e+00,\n", - " 9.51750000e-01, 1.33245000e+00, 5.67243000e+00, 4.28922000e+00,\n", - " 1.76391000e+00, 2.01771000e+00, 0.00000000e+00, 1.26900000e+00,\n", - " 1.12941000e+00, 1.52280000e-01, 7.61400000e-02, 1.39590000e-01,\n", - " 2.15730000e-01, 4.06080000e-01, 8.37540000e-01, 5.71050000e-01,\n", - " 4.82220000e-01, 2.27151000e+00, 2.47455000e+00, 5.07600000e-02,\n", - " 4.94910000e-01, 6.85260000e-01, 3.04560000e-01, 4.69530000e-01,\n", - " 2.53800000e-01, 8.24850000e-01, 2.11923000e+00, 3.04560000e-01,\n", - " 2.41110000e-01, 1.39082400e+01, 5.45670000e-01, 4.69530000e-01,\n", - " 4.06080000e-01, 2.60145000e+00, 5.96430000e-01, 2.15730000e-01,\n", - " 1.82736000e+00, 4.82220000e-01, 3.36285000e+00, 8.88300000e-01,\n", - " 7.60131000e+00, 5.49477000e+00, 5.20290000e+00, 4.69530000e-01,\n", - " 5.07600000e-02, 5.96430000e-01, 1.39590000e-01, 3.42630000e-01,\n", - " 7.05564000e+00, 3.68010000e-01, 3.80700000e-02, 2.03040000e-01,\n", - " 4.72068000e+00, 1.19286000e+00, 2.79180000e-01, 9.64440000e-01,\n", - " 4.66992000e+00, 8.47692000e+00, 1.55325600e+01, 1.80198000e+00,\n", - " 8.17236000e+00, 1.09768500e+01, 9.51750000e-01, 4.94910000e-01,\n", - " 1.33245000e+00, 1.86289200e+01, 9.94896000e+00, 5.07600000e-02,\n", - " 5.71050000e-01, 8.37540000e-01, 3.55320000e-01, 1.62432000e+00,\n", - " 7.36020000e-01, 1.26900000e+00, 1.40859000e+00, 7.49979000e+00,\n", - " 1.76391000e+00, 1.01520000e-01, 2.13192000e+00, 3.36285000e+00,\n", - " 2.01771000e+00, 1.76391000e+00, 1.14210000e-01, 9.77130000e-01,\n", - " 5.96430000e-01, 2.15730000e-01, 1.14210000e-01, 9.37791000e+00,\n", - " 6.85260000e-01, 2.66490000e-01, 8.88300000e-01, 1.70046000e+00,\n", - " 1.00377900e+01, 5.60898000e+00, 8.75610000e-01, 1.21824000e+00,\n", - " 4.92372000e+00, 6.97950000e-01, 1.19286000e+00, 3.80700000e+00,\n", - " 3.22326000e+00, 4.69530000e-01, 5.85009000e+00, 5.32980000e-01,\n", - " 1.16494200e+01, 6.21810000e-01, 1.86543000e+00, 8.88300000e-02,\n", - " 6.34500000e-02, 1.64970000e-01, 9.64440000e-01, 6.47190000e-01,\n", - " 1.04058000e+00, 5.71050000e-01, 4.44150000e-01, 5.45670000e-01,\n", - " 1.91619000e+00, 6.59880000e-01, 2.66490000e-01, 2.53800000e+00,\n", - " 2.15730000e-01, 8.14698000e+00, 1.96695000e+00, 2.00502000e+00,\n", - " 4.69530000e-01, 7.36020000e-01, 2.79180000e-01, 9.06066000e+00,\n", - " 3.55320000e-01, 1.64970000e-01, 1.89081000e+00, 1.68015600e+01,\n", - " 2.53800000e-01, 4.06080000e-01, 5.07600000e-02, 7.76628000e+00,\n", - " 1.26900000e-01, 1.75122000e+00, 2.53800000e-01, 6.99219000e+00,\n", - " 2.84256000e+00, 1.14210000e-01, 2.53800000e-02, 4.69530000e+00,\n", - " 8.88300000e-02, 7.74090000e-01, 2.58876000e+00, 6.85260000e-01,\n", - " 3.13443000e+00, 1.05327000e+00, 2.23344000e+00, 3.55320000e-01,\n", - " 6.59880000e-01, 1.14210000e-01, 9.65709000e+00, 9.89820000e+00,\n", - " 2.14461000e+00, 5.26635000e+00, 1.08118800e+01, 4.18770000e-01,\n", - " 6.34500000e-02, 2.15730000e-01, 4.44150000e-01, 5.71050000e-01,\n", - " 1.90350000e-01, 7.61400000e-02, 4.18770000e-01, 1.01520000e+00,\n", - " 1.40859000e+00, 4.18770000e-01, 2.28420000e-01, 2.15730000e-01,\n", - " 2.91870000e-01, 3.80700000e-02, 9.39060000e-01, 4.82220000e-01,\n", - " 2.28420000e-01, 1.18017000e+00, 1.01520000e-01, 1.81467000e+00,\n", - " 3.09636000e+00, 1.12941000e+00, 2.94408000e+00, 5.34249000e+00,\n", - " 1.68777000e+00, 8.12160000e+00, 8.88300000e-01, 1.56087000e+00,\n", - " 3.04560000e+00, 1.23093000e+00, 5.83740000e-01, 7.36020000e-01,\n", - " 3.29940000e-01, 4.18770000e-01, 1.26900000e-02, 4.69530000e-01,\n", - " 2.15730000e-01, 1.14210000e-01, 5.20290000e-01, 2.37303000e+00,\n", - " 5.58360000e-01, 4.56840000e-01, 1.90350000e-01, 8.24850000e-01,\n", - " 5.43132000e+00, 2.29689000e+00, 6.21810000e-01, 1.51011000e+00,\n", - " 4.44150000e-01, 1.11672000e+01, 7.86780000e-01, 3.79431000e+00,\n", - " 7.61400000e-01, 9.64440000e-01, 3.93390000e-01, 1.11672000e+00,\n", - " 5.83740000e-01, 4.18770000e-01, 1.42128000e+00, 7.61400000e-02,\n", - " 2.28420000e-01, 5.96430000e-01, 4.44150000e-01, 5.83740000e-01,\n", - " 1.64970000e-01, 8.50230000e-01, 5.07600000e+00, 1.45935000e+00,\n", - " 2.29689000e+00, 1.38321000e+00, 7.99470000e-01, 1.75122000e+00,\n", - " 5.85009000e+00, 4.45419000e+00, 3.29940000e-01, 1.31976000e+00,\n", - " 6.72570000e-01, 8.75610000e-01, 1.97964000e+00, 3.76893000e+00,\n", - " 3.80700000e-02, 6.34500000e-02, 4.47957000e+00, 4.61916000e+00,\n", - " 7.10640000e-01, 8.88300000e-02, 4.94910000e-01, 3.29940000e-01,\n", - " 3.80700000e-02, 8.88300000e-02, 3.80700000e-01, 4.44150000e-01,\n", - " 5.03793000e+00, 2.43648000e+00, 2.66490000e-01, 7.48710000e-01,\n", - " 5.22828000e+00, 3.04560000e-01, 9.49212000e+00, 4.56840000e-01,\n", - " 6.83991000e+00, 6.21810000e-01, 2.70297000e+00, 5.07600000e-02,\n", - " 1.64970000e-01, 4.31460000e-01, 1.77660000e-01, 2.88063000e+00,\n", - " 1.75122000e+00, 1.38321000e+00, 2.03040000e-01, 5.45670000e-01,\n", - " 3.80700000e-02, 2.33496000e+00, 6.47190000e-01, 7.61400000e-02,\n", - " 1.06596000e+00, 3.71817000e+00, 1.31976000e+00, 1.26900000e-02,\n", - " 5.50746000e+00, 3.80700000e-01, 3.88314000e+00, 6.34500000e-02,\n", - " 3.80700000e-02, 4.94910000e-01, 2.30958000e+00, 3.55320000e-01,\n", - " 9.64440000e-01, 2.24613000e+00, 1.14210000e-01, 1.52280000e-01,\n", - " 8.02008000e+00, 5.07600000e-02, 5.07600000e-02, 4.06080000e-01,\n", - " 4.69530000e-01, 4.06080000e-01, 1.39590000e-01, 6.85260000e-01,\n", - " 5.83740000e-01, 8.12160000e-01, 6.09120000e-01, 1.75122000e+00,\n", - " 3.15981000e+00, 2.41110000e-01, 1.26900000e-01, 3.29940000e-01,\n", - " 5.45670000e-01, 5.58360000e-01, 1.82736000e+00, 2.15730000e-01,\n", - " 1.14210000e-01, 6.21810000e-01, 3.23595000e+00, 1.05327000e+00,\n", - " 5.96430000e-01, 2.24866800e+01, 2.53800000e-02, 2.79180000e-01,\n", - " 2.66490000e-01, 7.61400000e-02, 8.88300000e-02, 1.14210000e-01,\n", - " 1.01520000e-01, 7.36020000e-01, 1.77660000e-01, 2.36034000e+00,\n", - " 1.22077800e+01, 6.97950000e-01, 2.41110000e-01, 8.24850000e-01,\n", - " 4.40343000e+00, 3.42630000e-01, 2.15730000e-01, 9.51750000e-01,\n", - " 1.90350000e-01, 1.10403000e+00, 1.87812000e+00, 1.53549000e+00,\n", - " 1.39590000e-01, 7.10640000e-01, 4.94910000e-01, 3.68010000e-01,\n", - " 5.96430000e-01, 3.32478000e+00, 7.10640000e-01, 1.15479000e+00,\n", - " 1.87812000e+00, 2.28420000e+00, 1.77660000e-01, 5.07600000e-01,\n", - " 2.10654000e+00, 1.92888000e+00, 6.87798000e+00, 1.64970000e-01,\n", - " 2.52531000e+00, 3.04560000e-01, 7.48710000e-01, 1.05327000e+00,\n", - " 2.53800000e-01, 1.05327000e+00, 3.80700000e-01, 3.17250000e-01,\n", - " 8.88300000e-01, 1.00251000e+00, 2.28420000e-01, 1.01520000e-01,\n", - " 8.12160000e-01, 1.43397000e+00, 9.00990000e-01, 5.96430000e-01,\n", - " 3.42630000e-01, 3.80700000e-02, 1.44666000e+00, 4.07349000e+00,\n", - " 5.45670000e-01, 2.79180000e-01, 1.26900000e-02, 8.37540000e-01,\n", - " 5.96430000e-01, 1.90350000e-01, 2.28420000e-01, 1.00251000e+00,\n", - " 3.04560000e-01, 6.49728000e+00, 5.96430000e-01, 2.28420000e-01,\n", - " 0.00000000e+00, 1.29438000e+00, 3.04560000e-01, 4.06080000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.21945126e+03, -2.52731782e+03, -1.02781954e+00, -7.43923623e+01,\n", - " 0.00000000e+00, 0.00000000e+00, -5.34533871e+01, -4.16966431e+02,\n", - " 0.00000000e+00, -5.15415022e+01, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 8.37500000e-01, 3.91250000e+00, 7.63750000e+00, 5.41250000e+00,\n", - " 2.87500000e-01, 5.25000000e-01, 3.50000000e-01, 7.37500000e-01,\n", - " 1.21250000e+00, 1.87500000e-01, 7.37500000e-01, 5.87500000e-01,\n", - " 1.31500000e+01, 5.00000000e-02, 1.75000000e-01, 1.12500000e-01,\n", - " 6.56250000e+00, 4.72500000e+00, 7.12500000e-01, 1.11250000e+00,\n", - " 2.62500000e-01, 1.37500000e-01, 7.50000000e-02, 0.00000000e+00,\n", - " 2.50000000e-01, 8.25000000e-01, 6.25000000e-02, 4.81250000e+00,\n", - " 9.37500000e-01, 3.86250000e+00, 2.05000000e+00, 1.56250000e+00,\n", - " 1.72500000e+00, 7.50000000e-02, 0.00000000e+00, 8.75000000e-02,\n", - " 9.75000000e-01, 4.50000000e-01, 2.25000000e-01, 1.62500000e-01,\n", - " 5.62500000e-01, 5.25000000e-01, 1.41250000e+00, 2.97500000e+00,\n", - " 4.75000000e-01, 4.93750000e+00, 1.56250000e+00, 6.28750000e+00,\n", - " 7.87500000e-01, 2.19750000e+01, 1.37500000e-01, 1.75000000e-01,\n", - " 5.75000000e-01, 4.12500000e-01, 9.25000000e-01, 2.25000000e-01,\n", - " 8.25000000e-01, 6.57500000e+00, 1.14125000e+01, 3.06250000e+00,\n", - " 2.13750000e+00, 1.87500000e+00, 7.50000000e-01, 3.20000000e+00,\n", - " 3.87500000e-01, 3.12500000e-01, 3.05000000e+00, 2.60000000e+00,\n", - " 1.25000000e-01, 0.00000000e+00, 5.75000000e-01, 5.87500000e-01,\n", - " 5.00000000e-02, 1.37500000e-01, 1.05000000e+00, 2.15000000e+00,\n", - " 1.27500000e+00, 4.12500000e-01, 4.25000000e-01, 3.15000000e+00,\n", - " 7.32500000e+00, 6.51250000e+00, 1.42500000e+00, 2.30000000e+00,\n", - " 2.68750000e+00, 3.00000000e+00, 3.37500000e-01, 7.00000000e-01,\n", - " 1.25000000e-01, 1.50000000e-01, 2.25000000e-01, 0.00000000e+00,\n", - " 6.25000000e-02, 1.75000000e-01, 2.53750000e+00, 6.62500000e-01,\n", - " 7.50000000e-02, 0.00000000e+00, 1.87500000e-01, 2.03750000e+00,\n", - " 1.62500000e+00, 5.80000000e+00, 7.60000000e+00, 1.41250000e+00,\n", - " 2.25000000e-01, 1.12500000e-01, 5.87500000e-01, 1.12500000e-01,\n", - " 3.36250000e+00, 2.61250000e+00, 8.00000000e-01, 6.50000000e-01,\n", - " 6.81250000e+00, 1.37500000e+00, 0.00000000e+00, 3.28750000e+00,\n", - " 2.16250000e+00, 1.06750000e+01, 1.72500000e+00, 5.11250000e+00,\n", - " 1.06250000e+00, 1.45000000e+00, 3.96250000e+00, 6.65000000e+00,\n", - " 5.95000000e+00, 1.19125000e+01, 1.77500000e+00, 7.62500000e-01,\n", - " 5.06250000e+00, 6.27500000e+00, 2.13750000e+00, 1.17500000e+00,\n", - " 2.50000000e-01, 1.00000000e+00, 1.86250000e+00, 1.30000000e+00,\n", - " 1.10000000e+00, 3.25000000e+00, 9.25000000e-01, 3.12500000e-01,\n", - " 6.21250000e+00, 5.28750000e+00, 4.63750000e+00, 4.85000000e+00,\n", - " 7.37500000e-01, 8.37500000e-01, 1.62500000e-01, 4.37500000e-01,\n", - " 9.00000000e-01, 1.72500000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.24125000e+01, 1.80500000e+01, 3.91875000e+01, 1.02500000e+00,\n", - " 1.12500000e+00, 6.12500000e-01, 1.37500000e-01, 1.50000000e-01,\n", - " 3.75000000e-01, 3.25000000e-01, 2.01250000e+00, 1.83750000e+00,\n", - " 1.72500000e+00, 5.00000000e-01, 1.29500000e+01, 2.37125000e+01,\n", - " 3.62500000e-01, 3.12500000e-01, 8.37500000e-01, 3.37500000e-01,\n", - " 3.75000000e-01, 8.87500000e-01, 1.67500000e+00, 6.00000000e-01,\n", - " 8.50000000e-01, 8.75000000e-01, 1.12500000e-01, 2.13750000e+00,\n", - " 2.75000000e-01, 6.62500000e-01, 7.87500000e-01, 2.03750000e+00,\n", - " 1.58750000e+00, 1.37500000e-01, 2.36250000e+00, 7.12500000e-01,\n", - " 5.12500000e-01, 5.62500000e-01, 1.32500000e+00, 6.75000000e-01,\n", - " 1.46250000e+00, 7.50000000e-02, 6.87500000e-01, 4.25000000e-01,\n", - " 6.00000000e-01, 2.12500000e-01, 2.44875000e+01, 6.25000000e-01,\n", - " 5.50000000e-01, 2.50000000e+01, 9.00000000e-01, 1.62500000e-01,\n", - " 0.00000000e+00, 1.62500000e-01, 7.50000000e-02, 6.25000000e-01,\n", - " 8.62500000e-01, 1.75000000e-01, 6.62500000e-01, 8.25000000e+00,\n", - " 5.26250000e+00, 6.36250000e+00, 2.22000000e+01, 1.92750000e+01,\n", - " 5.25000000e-01, 3.00000000e-01, 5.05000000e+00, 3.25000000e+00,\n", - " 1.09875000e+01, 7.80000000e+00, 1.12500000e-01, 2.75000000e+00,\n", - " 7.87500000e-01, 1.11625000e+01, 6.25000000e-02, 8.75000000e-02,\n", - " 1.37500000e-01, 6.25000000e-02, 3.93750000e+00, 3.11250000e+00,\n", - " 3.12500000e+00, 9.81250000e+00, 5.12500000e-01, 1.25000000e-01,\n", - " 4.88750000e+00, 1.62500000e-01, 5.12500000e-01, 7.88750000e+00,\n", - " 5.37500000e-01, 5.00000000e-01, 4.75000000e-01, 5.50000000e-01,\n", - " 2.87500000e-01, 6.38750000e+00, 3.62500000e+00, 1.12500000e+00,\n", - " 1.71250000e+00, 6.00000000e-01, 1.12500000e-01, 3.20000000e+00,\n", - " 2.00000000e+00, 4.56250000e+00, 4.50000000e-01, 8.00000000e-01,\n", - " 2.87500000e-01, 4.62500000e-01, 9.37500000e-01, 3.58750000e+00,\n", - " 1.01250000e+00, 3.68750000e+00, 1.41250000e+00, 5.25000000e-01,\n", - " 1.10000000e+00, 1.88750000e+00, 3.15000000e+00, 8.60000000e+00,\n", - " 9.62500000e-01, 4.56250000e+00, 4.25000000e-01, 4.12500000e-01,\n", - " 1.12500000e+00, 2.28750000e+00, 8.75000000e-01, 2.60000000e+00,\n", - " 1.75000000e-01, 5.87500000e-01, 3.25000000e+00, 1.70000000e+00,\n", - " 2.12500000e-01, 3.87500000e-01, 1.36250000e+00, 7.87500000e-01,\n", - " 1.48750000e+00, 1.00000000e+00, 1.37500000e-01, 4.37500000e-01,\n", - " 1.00000000e-01, 1.25000000e-02, 5.07500000e+00, 6.78750000e+00,\n", - " 3.25000000e-01, 2.37500000e-01, 1.50125000e+01, 6.77500000e+00,\n", - " 1.28750000e+00, 5.07500000e+00, 7.87500000e-01, 2.65000000e+00,\n", - " 3.50000000e-01, 3.12500000e-01, 3.53750000e+00, 4.25000000e-01,\n", - " 1.62500000e-01, 2.46250000e+00, 1.38750000e+00, 6.50000000e-01,\n", - " 5.72500000e+00, 2.00000000e-01, 4.62500000e-01, 2.37500000e-01,\n", - " 3.37500000e-01, 1.25000000e-01, 7.81250000e+00, 4.07500000e+00,\n", - " 4.62500000e-01, 2.12500000e-01, 3.32500000e+00, 3.50000000e-01,\n", - " 1.66250000e+00, 1.25000000e-02, 1.53750000e+00, 1.97500000e+00,\n", - " 5.62500000e-01, 1.86250000e+00, 3.12500000e-01, 9.93750000e+00,\n", - " 4.25000000e-01, 4.12500000e-01, 3.87500000e-01, 1.43000000e+01,\n", - " 4.37500000e-01, 1.03750000e+00, 1.12500000e-01, 6.25000000e-02,\n", - " 3.46250000e+00, 1.23750000e+00, 1.00000000e-01, 0.00000000e+00,\n", - " 4.40000000e+00, 2.27500000e+00, 6.55000000e+00, 2.85000000e+00,\n", - " 7.50000000e-02, 5.00000000e-02, 3.75000000e-01, 1.70000000e+00,\n", - " 2.01250000e+00, 3.12500000e-01, 0.00000000e+00, 1.12500000e-01,\n", - " 1.17500000e+00, 2.25000000e-01, 4.00000000e-01, 6.62500000e-01,\n", - " 4.38750000e+00, 2.87500000e+00, 8.75000000e-02, 3.00000000e-01,\n", - " 1.62500000e-01, 1.25000000e-01, 1.25000000e-01, 3.75000000e-01,\n", - " 3.75000000e-01, 4.81250000e+00, 4.58750000e+00, 3.50000000e-01,\n", - " 4.87500000e-01, 1.87500000e-01, 1.37500000e-01, 4.12500000e-01,\n", - " 1.25000000e-01, 1.25000000e-01, 8.50000000e-01, 6.50000000e-01,\n", - " 8.87500000e-01, 1.11250000e+00, 9.48750000e+00, 1.95000000e+00,\n", - " 1.72500000e+00, 1.80000000e+00, 3.36250000e+00, 2.50000000e-01,\n", - " 1.62500000e+00, 4.63750000e+00, 3.25000000e-01, 1.32000000e+01,\n", - " 9.88750000e+00, 6.06250000e+00, 6.75000000e-01, 1.87500000e-01,\n", - " 1.10625000e+01, 2.80000000e+00, 4.66250000e+00, 1.02500000e+00,\n", - " 2.37500000e-01, 3.82500000e+00, 3.07500000e+00, 1.25000000e-01,\n", - " 5.00000000e-02, 3.75000000e-02, 1.12500000e+00, 5.00000000e-02,\n", - " 5.21250000e+00, 1.11750000e+01, 5.00000000e-01, 1.02500000e+00,\n", - " 2.30000000e+00, 6.25000000e-02, 2.87500000e-01, 3.37500000e+00,\n", - " 3.62500000e-01, 6.00000000e-01, 1.28750000e+00, 7.01250000e+00,\n", - " 3.86250000e+00, 8.00000000e-01, 1.26250000e+00, 1.67500000e+00,\n", - " 1.87500000e-01, 8.50000000e-01, 1.07500000e+00, 4.50000000e-01,\n", - " 6.25000000e-02, 6.75000000e-01, 3.25000000e-01, 3.12500000e-01,\n", - " 7.12500000e-01, 8.87500000e-01, 1.31250000e+00, 3.50000000e-01,\n", - " 3.75000000e-02, 4.75000000e-01, 6.03750000e+00, 3.37500000e-01,\n", - " 2.95000000e+00, 3.00000000e-01, 1.07500000e+00, 6.12500000e+00,\n", - " 9.61250000e+00, 2.15000000e+00, 4.10000000e+00, 4.75000000e-01,\n", - " 4.37500000e-01, 3.12500000e-01, 2.28750000e+00, 3.75000000e-01,\n", - " 4.00000000e-01, 2.25000000e-01, 6.25000000e-01, 6.00000000e-01,\n", - " 6.37500000e+00, 1.83750000e+00, 7.25000000e-01, 1.25000000e-02,\n", - " 6.12500000e-01, 2.31250000e+00, 2.66250000e+00, 2.50000000e+00,\n", - " 2.37500000e-01, 9.25000000e-01, 1.75000000e+00, 3.12500000e-01,\n", - " 7.87500000e-01, 4.75000000e-01, 2.12500000e-01, 3.50000000e-01,\n", - " 7.62500000e-01, 5.87500000e-01, 5.12500000e-01, 1.00000000e-01,\n", - " 3.76250000e+00, 4.78750000e+00, 1.87500000e-01, 2.00000000e-01,\n", - " 4.37500000e-01, 1.39750000e+01, 7.56250000e+00, 1.62500000e-01,\n", - " 5.33750000e+00, 2.77500000e+00, 1.25000000e-02, 5.37500000e-01,\n", - " 3.00000000e-01, 2.55000000e+00, 3.75000000e+00, 5.15000000e+00,\n", - " 3.50000000e-01, 1.00125000e+01, 1.71250000e+00, 7.25000000e+00,\n", - " 9.37500000e-01, 1.31250000e+00, 5.58750000e+00, 4.22500000e+00,\n", - " 1.73750000e+00, 1.98750000e+00, 0.00000000e+00, 1.25000000e+00,\n", - " 1.11250000e+00, 1.50000000e-01, 7.50000000e-02, 1.37500000e-01,\n", - " 2.12500000e-01, 4.00000000e-01, 8.25000000e-01, 5.62500000e-01,\n", - " 4.75000000e-01, 2.23750000e+00, 2.43750000e+00, 5.00000000e-02,\n", - " 4.87500000e-01, 6.75000000e-01, 3.00000000e-01, 4.62500000e-01,\n", - " 2.50000000e-01, 8.12500000e-01, 2.08750000e+00, 3.00000000e-01,\n", - " 2.37500000e-01, 1.37000000e+01, 5.37500000e-01, 4.62500000e-01,\n", - " 4.00000000e-01, 2.56250000e+00, 5.87500000e-01, 2.12500000e-01,\n", - " 1.80000000e+00, 4.75000000e-01, 3.31250000e+00, 8.75000000e-01,\n", - " 7.48750000e+00, 5.41250000e+00, 5.12500000e+00, 4.62500000e-01,\n", - " 5.00000000e-02, 5.87500000e-01, 1.37500000e-01, 3.37500000e-01,\n", - " 6.95000000e+00, 3.62500000e-01, 3.75000000e-02, 2.00000000e-01,\n", - " 4.65000000e+00, 1.17500000e+00, 2.75000000e-01, 9.50000000e-01,\n", - " 4.60000000e+00, 8.35000000e+00, 1.53000000e+01, 1.77500000e+00,\n", - " 8.05000000e+00, 1.08125000e+01, 9.37500000e-01, 4.87500000e-01,\n", - " 1.31250000e+00, 1.83500000e+01, 9.80000000e+00, 5.00000000e-02,\n", - " 5.62500000e-01, 8.25000000e-01, 3.50000000e-01, 1.60000000e+00,\n", - " 7.25000000e-01, 1.25000000e+00, 1.38750000e+00, 7.38750000e+00,\n", - " 1.73750000e+00, 1.00000000e-01, 2.10000000e+00, 3.31250000e+00,\n", - " 1.98750000e+00, 1.73750000e+00, 1.12500000e-01, 9.62500000e-01,\n", - " 5.87500000e-01, 2.12500000e-01, 1.12500000e-01, 9.23750000e+00,\n", - " 6.75000000e-01, 2.62500000e-01, 8.75000000e-01, 1.67500000e+00,\n", - " 9.88750000e+00, 5.52500000e+00, 8.62500000e-01, 1.20000000e+00,\n", - " 4.85000000e+00, 6.87500000e-01, 1.17500000e+00, 3.75000000e+00,\n", - " 3.17500000e+00, 4.62500000e-01, 5.76250000e+00, 5.25000000e-01,\n", - " 1.14750000e+01, 6.12500000e-01, 1.83750000e+00, 8.75000000e-02,\n", - " 6.25000000e-02, 1.62500000e-01, 9.50000000e-01, 6.37500000e-01,\n", - " 1.02500000e+00, 5.62500000e-01, 4.37500000e-01, 5.37500000e-01,\n", - " 1.88750000e+00, 6.50000000e-01, 2.62500000e-01, 2.50000000e+00,\n", - " 2.12500000e-01, 8.02500000e+00, 1.93750000e+00, 1.97500000e+00,\n", - " 4.62500000e-01, 7.25000000e-01, 2.75000000e-01, 8.92500000e+00,\n", - " 3.50000000e-01, 1.62500000e-01, 1.86250000e+00, 1.65500000e+01,\n", - " 2.50000000e-01, 4.00000000e-01, 5.00000000e-02, 7.65000000e+00,\n", - " 1.25000000e-01, 1.72500000e+00, 2.50000000e-01, 6.88750000e+00,\n", - " 2.80000000e+00, 1.12500000e-01, 2.50000000e-02, 4.62500000e+00,\n", - " 8.75000000e-02, 7.62500000e-01, 2.55000000e+00, 6.75000000e-01,\n", - " 3.08750000e+00, 1.03750000e+00, 2.20000000e+00, 3.50000000e-01,\n", - " 6.50000000e-01, 1.12500000e-01, 9.51250000e+00, 9.75000000e+00,\n", - " 2.11250000e+00, 5.18750000e+00, 1.06500000e+01, 4.12500000e-01,\n", - " 6.25000000e-02, 2.12500000e-01, 4.37500000e-01, 5.62500000e-01,\n", - " 1.87500000e-01, 7.50000000e-02, 4.12500000e-01, 1.00000000e+00,\n", - " 1.38750000e+00, 4.12500000e-01, 2.25000000e-01, 2.12500000e-01,\n", - " 2.87500000e-01, 3.75000000e-02, 9.25000000e-01, 4.75000000e-01,\n", - " 2.25000000e-01, 1.16250000e+00, 1.00000000e-01, 1.78750000e+00,\n", - " 3.05000000e+00, 1.11250000e+00, 2.90000000e+00, 5.26250000e+00,\n", - " 1.66250000e+00, 8.00000000e+00, 8.75000000e-01, 1.53750000e+00,\n", - " 3.00000000e+00, 1.21250000e+00, 5.75000000e-01, 7.25000000e-01,\n", - " 3.25000000e-01, 4.12500000e-01, 1.25000000e-02, 4.62500000e-01,\n", - " 2.12500000e-01, 1.12500000e-01, 5.12500000e-01, 2.33750000e+00,\n", - " 5.50000000e-01, 4.50000000e-01, 1.87500000e-01, 8.12500000e-01,\n", - " 5.35000000e+00, 2.26250000e+00, 6.12500000e-01, 1.48750000e+00,\n", - " 4.37500000e-01, 1.10000000e+01, 7.75000000e-01, 3.73750000e+00,\n", - " 7.50000000e-01, 9.50000000e-01, 3.87500000e-01, 1.10000000e+00,\n", - " 5.75000000e-01, 4.12500000e-01, 1.40000000e+00, 7.50000000e-02,\n", - " 2.25000000e-01, 5.87500000e-01, 4.37500000e-01, 5.75000000e-01,\n", - " 1.62500000e-01, 8.37500000e-01, 5.00000000e+00, 1.43750000e+00,\n", - " 2.26250000e+00, 1.36250000e+00, 7.87500000e-01, 1.72500000e+00,\n", - " 5.76250000e+00, 4.38750000e+00, 3.25000000e-01, 1.30000000e+00,\n", - " 6.62500000e-01, 8.62500000e-01, 1.95000000e+00, 3.71250000e+00,\n", - " 3.75000000e-02, 6.25000000e-02, 4.41250000e+00, 4.55000000e+00,\n", - " 7.00000000e-01, 8.75000000e-02, 4.87500000e-01, 3.25000000e-01,\n", - " 3.75000000e-02, 8.75000000e-02, 3.75000000e-01, 4.37500000e-01,\n", - " 4.96250000e+00, 2.40000000e+00, 2.62500000e-01, 7.37500000e-01,\n", - " 5.15000000e+00, 3.00000000e-01, 9.35000000e+00, 4.50000000e-01,\n", - " 6.73750000e+00, 6.12500000e-01, 2.66250000e+00, 5.00000000e-02,\n", - " 1.62500000e-01, 4.25000000e-01, 1.75000000e-01, 2.83750000e+00,\n", - " 1.72500000e+00, 1.36250000e+00, 2.00000000e-01, 5.37500000e-01,\n", - " 3.75000000e-02, 2.30000000e+00, 6.37500000e-01, 7.50000000e-02,\n", - " 1.05000000e+00, 3.66250000e+00, 1.30000000e+00, 1.25000000e-02,\n", - " 5.42500000e+00, 3.75000000e-01, 3.82500000e+00, 6.25000000e-02,\n", - " 3.75000000e-02, 4.87500000e-01, 2.27500000e+00, 3.50000000e-01,\n", - " 9.50000000e-01, 2.21250000e+00, 1.12500000e-01, 1.50000000e-01,\n", - " 7.90000000e+00, 5.00000000e-02, 5.00000000e-02, 4.00000000e-01,\n", - " 4.62500000e-01, 4.00000000e-01, 1.37500000e-01, 6.75000000e-01,\n", - " 5.75000000e-01, 8.00000000e-01, 6.00000000e-01, 1.72500000e+00,\n", - " 3.11250000e+00, 2.37500000e-01, 1.25000000e-01, 3.25000000e-01,\n", - " 5.37500000e-01, 5.50000000e-01, 1.80000000e+00, 2.12500000e-01,\n", - " 1.12500000e-01, 6.12500000e-01, 3.18750000e+00, 1.03750000e+00,\n", - " 5.87500000e-01, 2.21500000e+01, 2.50000000e-02, 2.75000000e-01,\n", - " 2.62500000e-01, 7.50000000e-02, 8.75000000e-02, 1.12500000e-01,\n", - " 1.00000000e-01, 7.25000000e-01, 1.75000000e-01, 2.32500000e+00,\n", - " 1.20250000e+01, 6.87500000e-01, 2.37500000e-01, 8.12500000e-01,\n", - " 4.33750000e+00, 3.37500000e-01, 2.12500000e-01, 9.37500000e-01,\n", - " 1.87500000e-01, 1.08750000e+00, 1.85000000e+00, 1.51250000e+00,\n", - " 1.37500000e-01, 7.00000000e-01, 4.87500000e-01, 3.62500000e-01,\n", - " 5.87500000e-01, 3.27500000e+00, 7.00000000e-01, 1.13750000e+00,\n", - " 1.85000000e+00, 2.25000000e+00, 1.75000000e-01, 5.00000000e-01,\n", - " 2.07500000e+00, 1.90000000e+00, 6.77500000e+00, 1.62500000e-01,\n", - " 2.48750000e+00, 3.00000000e-01, 7.37500000e-01, 1.03750000e+00,\n", - " 2.50000000e-01, 1.03750000e+00, 3.75000000e-01, 3.12500000e-01,\n", - " 8.75000000e-01, 9.87500000e-01, 2.25000000e-01, 1.00000000e-01,\n", - " 8.00000000e-01, 1.41250000e+00, 8.87500000e-01, 5.87500000e-01,\n", - " 3.37500000e-01, 3.75000000e-02, 1.42500000e+00, 4.01250000e+00,\n", - " 5.37500000e-01, 2.75000000e-01, 1.25000000e-02, 8.25000000e-01,\n", - " 5.87500000e-01, 1.87500000e-01, 2.25000000e-01, 9.87500000e-01,\n", - " 3.00000000e-01, 6.40000000e+00, 5.87500000e-01, 2.25000000e-01,\n", - " 0.00000000e+00, 1.27500000e+00, 3.00000000e-01, 4.00000000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.21190915e+03, -2.52731782e+03, 1.80956172e-01, -7.22947285e+01,\n", - " 0.00000000e+00, 0.00000000e+00, -4.90918011e+01, -3.91401864e+02,\n", - " 0.00000000e+00, -4.87061751e+01, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 8.37500000e-01, 3.91250000e+00, 7.63750000e+00, 5.41250000e+00,\n", - " 2.87500000e-01, 5.25000000e-01, 3.50000000e-01, 7.37500000e-01,\n", - " 1.21250000e+00, 1.87500000e-01, 7.37500000e-01, 5.87500000e-01,\n", - " 1.31500000e+01, 5.00000000e-02, 1.75000000e-01, 1.12500000e-01,\n", - " 6.56250000e+00, 4.72500000e+00, 7.12500000e-01, 1.11250000e+00,\n", - " 2.62500000e-01, 1.37500000e-01, 7.50000000e-02, 0.00000000e+00,\n", - " 2.50000000e-01, 8.25000000e-01, 6.25000000e-02, 4.81250000e+00,\n", - " 9.37500000e-01, 3.86250000e+00, 2.05000000e+00, 1.56250000e+00,\n", - " 1.72500000e+00, 7.50000000e-02, 0.00000000e+00, 8.75000000e-02,\n", - " 9.75000000e-01, 4.50000000e-01, 2.25000000e-01, 1.62500000e-01,\n", - " 5.62500000e-01, 5.25000000e-01, 1.41250000e+00, 2.97500000e+00,\n", - " 4.75000000e-01, 4.93750000e+00, 1.56250000e+00, 6.28750000e+00,\n", - " 7.87500000e-01, 2.19750000e+01, 1.37500000e-01, 1.75000000e-01,\n", - " 5.75000000e-01, 4.12500000e-01, 9.25000000e-01, 2.25000000e-01,\n", - " 8.25000000e-01, 6.57500000e+00, 1.14125000e+01, 3.06250000e+00,\n", - " 2.13750000e+00, 1.87500000e+00, 7.50000000e-01, 3.20000000e+00,\n", - " 3.87500000e-01, 3.12500000e-01, 3.05000000e+00, 2.60000000e+00,\n", - " 1.25000000e-01, 0.00000000e+00, 5.75000000e-01, 5.87500000e-01,\n", - " 5.00000000e-02, 1.37500000e-01, 1.05000000e+00, 2.15000000e+00,\n", - " 1.27500000e+00, 4.12500000e-01, 4.25000000e-01, 3.15000000e+00,\n", - " 7.32500000e+00, 6.51250000e+00, 1.42500000e+00, 2.30000000e+00,\n", - " 2.68750000e+00, 3.00000000e+00, 3.37500000e-01, 7.00000000e-01,\n", - " 1.25000000e-01, 1.50000000e-01, 2.25000000e-01, 0.00000000e+00,\n", - " 6.25000000e-02, 1.75000000e-01, 2.53750000e+00, 6.62500000e-01,\n", - " 7.50000000e-02, 0.00000000e+00, 1.87500000e-01, 2.03750000e+00,\n", - " 1.62500000e+00, 5.80000000e+00, 7.60000000e+00, 1.41250000e+00,\n", - " 2.25000000e-01, 1.12500000e-01, 5.87500000e-01, 1.12500000e-01,\n", - " 3.36250000e+00, 2.61250000e+00, 8.00000000e-01, 6.50000000e-01,\n", - " 6.81250000e+00, 1.37500000e+00, 0.00000000e+00, 3.28750000e+00,\n", - " 2.16250000e+00, 1.06750000e+01, 1.72500000e+00, 5.11250000e+00,\n", - " 1.06250000e+00, 1.45000000e+00, 3.96250000e+00, 6.65000000e+00,\n", - " 5.95000000e+00, 1.19125000e+01, 1.77500000e+00, 7.62500000e-01,\n", - " 5.06250000e+00, 6.27500000e+00, 2.13750000e+00, 1.17500000e+00,\n", - " 2.50000000e-01, 1.00000000e+00, 1.86250000e+00, 1.30000000e+00,\n", - " 1.10000000e+00, 3.25000000e+00, 9.25000000e-01, 3.12500000e-01,\n", - " 6.21250000e+00, 5.28750000e+00, 4.63750000e+00, 4.85000000e+00,\n", - " 7.37500000e-01, 8.37500000e-01, 1.62500000e-01, 4.37500000e-01,\n", - " 9.00000000e-01, 1.72500000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.24125000e+01, 1.80500000e+01, 3.91875000e+01, 1.02500000e+00,\n", - " 1.12500000e+00, 6.12500000e-01, 1.37500000e-01, 1.50000000e-01,\n", - " 3.75000000e-01, 3.25000000e-01, 2.01250000e+00, 1.83750000e+00,\n", - " 1.72500000e+00, 5.00000000e-01, 1.29500000e+01, 2.37125000e+01,\n", - " 3.62500000e-01, 3.12500000e-01, 8.37500000e-01, 3.37500000e-01,\n", - " 3.75000000e-01, 8.87500000e-01, 1.67500000e+00, 6.00000000e-01,\n", - " 8.50000000e-01, 8.75000000e-01, 1.12500000e-01, 2.13750000e+00,\n", - " 2.75000000e-01, 6.62500000e-01, 7.87500000e-01, 2.03750000e+00,\n", - " 1.58750000e+00, 1.37500000e-01, 2.36250000e+00, 7.12500000e-01,\n", - " 5.12500000e-01, 5.62500000e-01, 1.32500000e+00, 6.75000000e-01,\n", - " 1.46250000e+00, 7.50000000e-02, 6.87500000e-01, 4.25000000e-01,\n", - " 6.00000000e-01, 2.12500000e-01, 2.44875000e+01, 6.25000000e-01,\n", - " 5.50000000e-01, 2.50000000e+01, 9.00000000e-01, 1.62500000e-01,\n", - " 0.00000000e+00, 1.62500000e-01, 7.50000000e-02, 6.25000000e-01,\n", - " 8.62500000e-01, 1.75000000e-01, 6.62500000e-01, 8.25000000e+00,\n", - " 5.26250000e+00, 6.36250000e+00, 2.22000000e+01, 1.92750000e+01,\n", - " 5.25000000e-01, 3.00000000e-01, 5.05000000e+00, 3.25000000e+00,\n", - " 1.09875000e+01, 7.80000000e+00, 1.12500000e-01, 2.75000000e+00,\n", - " 7.87500000e-01, 1.11625000e+01, 6.25000000e-02, 8.75000000e-02,\n", - " 1.37500000e-01, 6.25000000e-02, 3.93750000e+00, 3.11250000e+00,\n", - " 3.12500000e+00, 9.81250000e+00, 5.12500000e-01, 1.25000000e-01,\n", - " 4.88750000e+00, 1.62500000e-01, 5.12500000e-01, 7.88750000e+00,\n", - " 5.37500000e-01, 5.00000000e-01, 4.75000000e-01, 5.50000000e-01,\n", - " 2.87500000e-01, 6.38750000e+00, 3.62500000e+00, 1.12500000e+00,\n", - " 1.71250000e+00, 6.00000000e-01, 1.12500000e-01, 3.20000000e+00,\n", - " 2.00000000e+00, 4.56250000e+00, 4.50000000e-01, 8.00000000e-01,\n", - " 2.87500000e-01, 4.62500000e-01, 9.37500000e-01, 3.58750000e+00,\n", - " 1.01250000e+00, 3.68750000e+00, 1.41250000e+00, 5.25000000e-01,\n", - " 1.10000000e+00, 1.88750000e+00, 3.15000000e+00, 8.60000000e+00,\n", - " 9.62500000e-01, 4.56250000e+00, 4.25000000e-01, 4.12500000e-01,\n", - " 1.12500000e+00, 2.28750000e+00, 8.75000000e-01, 2.60000000e+00,\n", - " 1.75000000e-01, 5.87500000e-01, 3.25000000e+00, 1.70000000e+00,\n", - " 2.12500000e-01, 3.87500000e-01, 1.36250000e+00, 7.87500000e-01,\n", - " 1.48750000e+00, 1.00000000e+00, 1.37500000e-01, 4.37500000e-01,\n", - " 1.00000000e-01, 1.25000000e-02, 5.07500000e+00, 6.78750000e+00,\n", - " 3.25000000e-01, 2.37500000e-01, 1.50125000e+01, 6.77500000e+00,\n", - " 1.28750000e+00, 5.07500000e+00, 7.87500000e-01, 2.65000000e+00,\n", - " 3.50000000e-01, 3.12500000e-01, 3.53750000e+00, 4.25000000e-01,\n", - " 1.62500000e-01, 2.46250000e+00, 1.38750000e+00, 6.50000000e-01,\n", - " 5.72500000e+00, 2.00000000e-01, 4.62500000e-01, 2.37500000e-01,\n", - " 3.37500000e-01, 1.25000000e-01, 7.81250000e+00, 4.07500000e+00,\n", - " 4.62500000e-01, 2.12500000e-01, 3.32500000e+00, 3.50000000e-01,\n", - " 1.66250000e+00, 1.25000000e-02, 1.53750000e+00, 1.97500000e+00,\n", - " 5.62500000e-01, 1.86250000e+00, 3.12500000e-01, 9.93750000e+00,\n", - " 4.25000000e-01, 4.12500000e-01, 3.87500000e-01, 1.43000000e+01,\n", - " 4.37500000e-01, 1.03750000e+00, 1.12500000e-01, 6.25000000e-02,\n", - " 3.46250000e+00, 1.23750000e+00, 1.00000000e-01, 0.00000000e+00,\n", - " 4.40000000e+00, 2.27500000e+00, 6.55000000e+00, 2.85000000e+00,\n", - " 7.50000000e-02, 5.00000000e-02, 3.75000000e-01, 1.70000000e+00,\n", - " 2.01250000e+00, 3.12500000e-01, 0.00000000e+00, 1.12500000e-01,\n", - " 1.17500000e+00, 2.25000000e-01, 4.00000000e-01, 6.62500000e-01,\n", - " 4.38750000e+00, 2.87500000e+00, 8.75000000e-02, 3.00000000e-01,\n", - " 1.62500000e-01, 1.25000000e-01, 1.25000000e-01, 3.75000000e-01,\n", - " 3.75000000e-01, 4.81250000e+00, 4.58750000e+00, 3.50000000e-01,\n", - " 4.87500000e-01, 1.87500000e-01, 1.37500000e-01, 4.12500000e-01,\n", - " 1.25000000e-01, 1.25000000e-01, 8.50000000e-01, 6.50000000e-01,\n", - " 8.87500000e-01, 1.11250000e+00, 9.48750000e+00, 1.95000000e+00,\n", - " 1.72500000e+00, 1.80000000e+00, 3.36250000e+00, 2.50000000e-01,\n", - " 1.62500000e+00, 4.63750000e+00, 3.25000000e-01, 1.32000000e+01,\n", - " 9.88750000e+00, 6.06250000e+00, 6.75000000e-01, 1.87500000e-01,\n", - " 1.10625000e+01, 2.80000000e+00, 4.66250000e+00, 1.02500000e+00,\n", - " 2.37500000e-01, 3.82500000e+00, 3.07500000e+00, 1.25000000e-01,\n", - " 5.00000000e-02, 3.75000000e-02, 1.12500000e+00, 5.00000000e-02,\n", - " 5.21250000e+00, 1.11750000e+01, 5.00000000e-01, 1.02500000e+00,\n", - " 2.30000000e+00, 6.25000000e-02, 2.87500000e-01, 3.37500000e+00,\n", - " 3.62500000e-01, 6.00000000e-01, 1.28750000e+00, 7.01250000e+00,\n", - " 3.86250000e+00, 8.00000000e-01, 1.26250000e+00, 1.67500000e+00,\n", - " 1.87500000e-01, 8.50000000e-01, 1.07500000e+00, 4.50000000e-01,\n", - " 6.25000000e-02, 6.75000000e-01, 3.25000000e-01, 3.12500000e-01,\n", - " 7.12500000e-01, 8.87500000e-01, 1.31250000e+00, 3.50000000e-01,\n", - " 3.75000000e-02, 4.75000000e-01, 6.03750000e+00, 3.37500000e-01,\n", - " 2.95000000e+00, 3.00000000e-01, 1.07500000e+00, 6.12500000e+00,\n", - " 9.61250000e+00, 2.15000000e+00, 4.10000000e+00, 4.75000000e-01,\n", - " 4.37500000e-01, 3.12500000e-01, 2.28750000e+00, 3.75000000e-01,\n", - " 4.00000000e-01, 2.25000000e-01, 6.25000000e-01, 6.00000000e-01,\n", - " 6.37500000e+00, 1.83750000e+00, 7.25000000e-01, 1.25000000e-02,\n", - " 6.12500000e-01, 2.31250000e+00, 2.66250000e+00, 2.50000000e+00,\n", - " 2.37500000e-01, 9.25000000e-01, 1.75000000e+00, 3.12500000e-01,\n", - " 7.87500000e-01, 4.75000000e-01, 2.12500000e-01, 3.50000000e-01,\n", - " 7.62500000e-01, 5.87500000e-01, 5.12500000e-01, 1.00000000e-01,\n", - " 3.76250000e+00, 4.78750000e+00, 1.87500000e-01, 2.00000000e-01,\n", - " 4.37500000e-01, 1.39750000e+01, 7.56250000e+00, 1.62500000e-01,\n", - " 5.33750000e+00, 2.77500000e+00, 1.25000000e-02, 5.37500000e-01,\n", - " 3.00000000e-01, 2.55000000e+00, 3.75000000e+00, 5.15000000e+00,\n", - " 3.50000000e-01, 1.00125000e+01, 1.71250000e+00, 7.25000000e+00,\n", - " 9.37500000e-01, 1.31250000e+00, 5.58750000e+00, 4.22500000e+00,\n", - " 1.73750000e+00, 1.98750000e+00, 0.00000000e+00, 1.25000000e+00,\n", - " 1.11250000e+00, 1.50000000e-01, 7.50000000e-02, 1.37500000e-01,\n", - " 2.12500000e-01, 4.00000000e-01, 8.25000000e-01, 5.62500000e-01,\n", - " 4.75000000e-01, 2.23750000e+00, 2.43750000e+00, 5.00000000e-02,\n", - " 4.87500000e-01, 6.75000000e-01, 3.00000000e-01, 4.62500000e-01,\n", - " 2.50000000e-01, 8.12500000e-01, 2.08750000e+00, 3.00000000e-01,\n", - " 2.37500000e-01, 1.37000000e+01, 5.37500000e-01, 4.62500000e-01,\n", - " 4.00000000e-01, 2.56250000e+00, 5.87500000e-01, 2.12500000e-01,\n", - " 1.80000000e+00, 4.75000000e-01, 3.31250000e+00, 8.75000000e-01,\n", - " 7.48750000e+00, 5.41250000e+00, 5.12500000e+00, 4.62500000e-01,\n", - " 5.00000000e-02, 5.87500000e-01, 1.37500000e-01, 3.37500000e-01,\n", - " 6.95000000e+00, 3.62500000e-01, 3.75000000e-02, 2.00000000e-01,\n", - " 4.65000000e+00, 1.17500000e+00, 2.75000000e-01, 9.50000000e-01,\n", - " 4.60000000e+00, 8.35000000e+00, 1.53000000e+01, 1.77500000e+00,\n", - " 8.05000000e+00, 1.08125000e+01, 9.37500000e-01, 4.87500000e-01,\n", - " 1.31250000e+00, 1.83500000e+01, 9.80000000e+00, 5.00000000e-02,\n", - " 5.62500000e-01, 8.25000000e-01, 3.50000000e-01, 1.60000000e+00,\n", - " 7.25000000e-01, 1.25000000e+00, 1.38750000e+00, 7.38750000e+00,\n", - " 1.73750000e+00, 1.00000000e-01, 2.10000000e+00, 3.31250000e+00,\n", - " 1.98750000e+00, 1.73750000e+00, 1.12500000e-01, 9.62500000e-01,\n", - " 5.87500000e-01, 2.12500000e-01, 1.12500000e-01, 9.23750000e+00,\n", - " 6.75000000e-01, 2.62500000e-01, 8.75000000e-01, 1.67500000e+00,\n", - " 9.88750000e+00, 5.52500000e+00, 8.62500000e-01, 1.20000000e+00,\n", - " 4.85000000e+00, 6.87500000e-01, 1.17500000e+00, 3.75000000e+00,\n", - " 3.17500000e+00, 4.62500000e-01, 5.76250000e+00, 5.25000000e-01,\n", - " 1.14750000e+01, 6.12500000e-01, 1.83750000e+00, 8.75000000e-02,\n", - " 6.25000000e-02, 1.62500000e-01, 9.50000000e-01, 6.37500000e-01,\n", - " 1.02500000e+00, 5.62500000e-01, 4.37500000e-01, 5.37500000e-01,\n", - " 1.88750000e+00, 6.50000000e-01, 2.62500000e-01, 2.50000000e+00,\n", - " 2.12500000e-01, 8.02500000e+00, 1.93750000e+00, 1.97500000e+00,\n", - " 4.62500000e-01, 7.25000000e-01, 2.75000000e-01, 8.92500000e+00,\n", - " 3.50000000e-01, 1.62500000e-01, 1.86250000e+00, 1.65500000e+01,\n", - " 2.50000000e-01, 4.00000000e-01, 5.00000000e-02, 7.65000000e+00,\n", - " 1.25000000e-01, 1.72500000e+00, 2.50000000e-01, 6.88750000e+00,\n", - " 2.80000000e+00, 1.12500000e-01, 2.50000000e-02, 4.62500000e+00,\n", - " 8.75000000e-02, 7.62500000e-01, 2.55000000e+00, 6.75000000e-01,\n", - " 3.08750000e+00, 1.03750000e+00, 2.20000000e+00, 3.50000000e-01,\n", - " 6.50000000e-01, 1.12500000e-01, 9.51250000e+00, 9.75000000e+00,\n", - " 2.11250000e+00, 5.18750000e+00, 1.06500000e+01, 4.12500000e-01,\n", - " 6.25000000e-02, 2.12500000e-01, 4.37500000e-01, 5.62500000e-01,\n", - " 1.87500000e-01, 7.50000000e-02, 4.12500000e-01, 1.00000000e+00,\n", - " 1.38750000e+00, 4.12500000e-01, 2.25000000e-01, 2.12500000e-01,\n", - " 2.87500000e-01, 3.75000000e-02, 9.25000000e-01, 4.75000000e-01,\n", - " 2.25000000e-01, 1.16250000e+00, 1.00000000e-01, 1.78750000e+00,\n", - " 3.05000000e+00, 1.11250000e+00, 2.90000000e+00, 5.26250000e+00,\n", - " 1.66250000e+00, 8.00000000e+00, 8.75000000e-01, 1.53750000e+00,\n", - " 3.00000000e+00, 1.21250000e+00, 5.75000000e-01, 7.25000000e-01,\n", - " 3.25000000e-01, 4.12500000e-01, 1.25000000e-02, 4.62500000e-01,\n", - " 2.12500000e-01, 1.12500000e-01, 5.12500000e-01, 2.33750000e+00,\n", - " 5.50000000e-01, 4.50000000e-01, 1.87500000e-01, 8.12500000e-01,\n", - " 5.35000000e+00, 2.26250000e+00, 6.12500000e-01, 1.48750000e+00,\n", - " 4.37500000e-01, 1.10000000e+01, 7.75000000e-01, 3.73750000e+00,\n", - " 7.50000000e-01, 9.50000000e-01, 3.87500000e-01, 1.10000000e+00,\n", - " 5.75000000e-01, 4.12500000e-01, 1.40000000e+00, 7.50000000e-02,\n", - " 2.25000000e-01, 5.87500000e-01, 4.37500000e-01, 5.75000000e-01,\n", - " 1.62500000e-01, 8.37500000e-01, 5.00000000e+00, 1.43750000e+00,\n", - " 2.26250000e+00, 1.36250000e+00, 7.87500000e-01, 1.72500000e+00,\n", - " 5.76250000e+00, 4.38750000e+00, 3.25000000e-01, 1.30000000e+00,\n", - " 6.62500000e-01, 8.62500000e-01, 1.95000000e+00, 3.71250000e+00,\n", - " 3.75000000e-02, 6.25000000e-02, 4.41250000e+00, 4.55000000e+00,\n", - " 7.00000000e-01, 8.75000000e-02, 4.87500000e-01, 3.25000000e-01,\n", - " 3.75000000e-02, 8.75000000e-02, 3.75000000e-01, 4.37500000e-01,\n", - " 4.96250000e+00, 2.40000000e+00, 2.62500000e-01, 7.37500000e-01,\n", - " 5.15000000e+00, 3.00000000e-01, 9.35000000e+00, 4.50000000e-01,\n", - " 6.73750000e+00, 6.12500000e-01, 2.66250000e+00, 5.00000000e-02,\n", - " 1.62500000e-01, 4.25000000e-01, 1.75000000e-01, 2.83750000e+00,\n", - " 1.72500000e+00, 1.36250000e+00, 2.00000000e-01, 5.37500000e-01,\n", - " 3.75000000e-02, 2.30000000e+00, 6.37500000e-01, 7.50000000e-02,\n", - " 1.05000000e+00, 3.66250000e+00, 1.30000000e+00, 1.25000000e-02,\n", - " 5.42500000e+00, 3.75000000e-01, 3.82500000e+00, 6.25000000e-02,\n", - " 3.75000000e-02, 4.87500000e-01, 2.27500000e+00, 3.50000000e-01,\n", - " 9.50000000e-01, 2.21250000e+00, 1.12500000e-01, 1.50000000e-01,\n", - " 7.90000000e+00, 5.00000000e-02, 5.00000000e-02, 4.00000000e-01,\n", - " 4.62500000e-01, 4.00000000e-01, 1.37500000e-01, 6.75000000e-01,\n", - " 5.75000000e-01, 8.00000000e-01, 6.00000000e-01, 1.72500000e+00,\n", - " 3.11250000e+00, 2.37500000e-01, 1.25000000e-01, 3.25000000e-01,\n", - " 5.37500000e-01, 5.50000000e-01, 1.80000000e+00, 2.12500000e-01,\n", - " 1.12500000e-01, 6.12500000e-01, 3.18750000e+00, 1.03750000e+00,\n", - " 5.87500000e-01, 2.21500000e+01, 2.50000000e-02, 2.75000000e-01,\n", - " 2.62500000e-01, 7.50000000e-02, 8.75000000e-02, 1.12500000e-01,\n", - " 1.00000000e-01, 7.25000000e-01, 1.75000000e-01, 2.32500000e+00,\n", - " 1.20250000e+01, 6.87500000e-01, 2.37500000e-01, 8.12500000e-01,\n", - " 4.33750000e+00, 3.37500000e-01, 2.12500000e-01, 9.37500000e-01,\n", - " 1.87500000e-01, 1.08750000e+00, 1.85000000e+00, 1.51250000e+00,\n", - " 1.37500000e-01, 7.00000000e-01, 4.87500000e-01, 3.62500000e-01,\n", - " 5.87500000e-01, 3.27500000e+00, 7.00000000e-01, 1.13750000e+00,\n", - " 1.85000000e+00, 2.25000000e+00, 1.75000000e-01, 5.00000000e-01,\n", - " 2.07500000e+00, 1.90000000e+00, 6.77500000e+00, 1.62500000e-01,\n", - " 2.48750000e+00, 3.00000000e-01, 7.37500000e-01, 1.03750000e+00,\n", - " 2.50000000e-01, 1.03750000e+00, 3.75000000e-01, 3.12500000e-01,\n", - " 8.75000000e-01, 9.87500000e-01, 2.25000000e-01, 1.00000000e-01,\n", - " 8.00000000e-01, 1.41250000e+00, 8.87500000e-01, 5.87500000e-01,\n", - " 3.37500000e-01, 3.75000000e-02, 1.42500000e+00, 4.01250000e+00,\n", - " 5.37500000e-01, 2.75000000e-01, 1.25000000e-02, 8.25000000e-01,\n", - " 5.87500000e-01, 1.87500000e-01, 2.25000000e-01, 9.87500000e-01,\n", - " 3.00000000e-01, 6.40000000e+00, 5.87500000e-01, 2.25000000e-01,\n", - " 0.00000000e+00, 1.27500000e+00, 3.00000000e-01, 4.00000000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.20000777e+03, -2.52731782e+03, -3.94335175e-01, -7.24968335e+01,\n", - " 0.00000000e+00, 0.00000000e+00, -4.93071162e+01, -3.78184588e+02,\n", - " 0.00000000e+00, -4.90294684e+01, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 8.56930000e-01, 4.00327000e+00, 7.81469000e+00, 5.53807000e+00,\n", - " 2.94170000e-01, 5.37180000e-01, 3.58120000e-01, 7.54610000e-01,\n", - " 1.24063000e+00, 1.91850000e-01, 7.54610000e-01, 6.01130000e-01,\n", - " 1.34550800e+01, 5.11600000e-02, 1.79060000e-01, 1.15110000e-01,\n", - " 6.71475000e+00, 4.83462000e+00, 7.29030000e-01, 1.13831000e+00,\n", - " 2.68590000e-01, 1.40690000e-01, 7.67400000e-02, 0.00000000e+00,\n", - " 2.55800000e-01, 8.44140000e-01, 6.39500000e-02, 4.92415000e+00,\n", - " 9.59250000e-01, 3.95211000e+00, 2.09756000e+00, 1.59875000e+00,\n", - " 1.76502000e+00, 7.67400000e-02, 0.00000000e+00, 8.95300000e-02,\n", - " 9.97620000e-01, 4.60440000e-01, 2.30220000e-01, 1.66270000e-01,\n", - " 5.75550000e-01, 5.37180000e-01, 1.44527000e+00, 3.04402000e+00,\n", - " 4.86020000e-01, 5.05205000e+00, 1.59875000e+00, 6.43337000e+00,\n", - " 8.05770000e-01, 2.24848200e+01, 1.40690000e-01, 1.79060000e-01,\n", - " 5.88340000e-01, 4.22070000e-01, 9.46460000e-01, 2.30220000e-01,\n", - " 8.44140000e-01, 6.72754000e+00, 1.16772700e+01, 3.13355000e+00,\n", - " 2.18709000e+00, 1.91850000e+00, 7.67400000e-01, 3.27424000e+00,\n", - " 3.96490000e-01, 3.19750000e-01, 3.12076000e+00, 2.66032000e+00,\n", - " 1.27900000e-01, 0.00000000e+00, 5.88340000e-01, 6.01130000e-01,\n", - " 5.11600000e-02, 1.40690000e-01, 1.07436000e+00, 2.19988000e+00,\n", - " 1.30458000e+00, 4.22070000e-01, 4.34860000e-01, 3.22308000e+00,\n", - " 7.49494000e+00, 6.66359000e+00, 1.45806000e+00, 2.35336000e+00,\n", - " 2.74985000e+00, 3.06960000e+00, 3.45330000e-01, 7.16240000e-01,\n", - " 1.27900000e-01, 1.53480000e-01, 2.30220000e-01, 0.00000000e+00,\n", - " 6.39500000e-02, 1.79060000e-01, 2.59637000e+00, 6.77870000e-01,\n", - " 7.67400000e-02, 0.00000000e+00, 1.91850000e-01, 2.08477000e+00,\n", - " 1.66270000e+00, 5.93456000e+00, 7.77632000e+00, 1.44527000e+00,\n", - " 2.30220000e-01, 1.15110000e-01, 6.01130000e-01, 1.15110000e-01,\n", - " 3.44051000e+00, 2.67311000e+00, 8.18560000e-01, 6.65080000e-01,\n", - " 6.97055000e+00, 1.40690000e+00, 0.00000000e+00, 3.36377000e+00,\n", - " 2.21267000e+00, 1.09226600e+01, 1.76502000e+00, 5.23111000e+00,\n", - " 1.08715000e+00, 1.48364000e+00, 4.05443000e+00, 6.80428000e+00,\n", - " 6.08804000e+00, 1.21888700e+01, 1.81618000e+00, 7.80190000e-01,\n", - " 5.17995000e+00, 6.42058000e+00, 2.18709000e+00, 1.20226000e+00,\n", - " 2.55800000e-01, 1.02320000e+00, 1.90571000e+00, 1.33016000e+00,\n", - " 1.12552000e+00, 3.32540000e+00, 9.46460000e-01, 3.19750000e-01,\n", - " 6.35663000e+00, 5.41017000e+00, 4.74509000e+00, 4.96252000e+00,\n", - " 7.54610000e-01, 8.56930000e-01, 1.66270000e-01, 4.47650000e-01,\n", - " 9.20880000e-01, 1.76502000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.27004700e+01, 1.84687600e+01, 4.00966500e+01, 1.04878000e+00,\n", - " 1.15110000e+00, 6.26710000e-01, 1.40690000e-01, 1.53480000e-01,\n", - " 3.83700000e-01, 3.32540000e-01, 2.05919000e+00, 1.88013000e+00,\n", - " 1.76502000e+00, 5.11600000e-01, 1.32504400e+01, 2.42626300e+01,\n", - " 3.70910000e-01, 3.19750000e-01, 8.56930000e-01, 3.45330000e-01,\n", - " 3.83700000e-01, 9.08090000e-01, 1.71386000e+00, 6.13920000e-01,\n", - " 8.69720000e-01, 8.95300000e-01, 1.15110000e-01, 2.18709000e+00,\n", - " 2.81380000e-01, 6.77870000e-01, 8.05770000e-01, 2.08477000e+00,\n", - " 1.62433000e+00, 1.40690000e-01, 2.41731000e+00, 7.29030000e-01,\n", - " 5.24390000e-01, 5.75550000e-01, 1.35574000e+00, 6.90660000e-01,\n", - " 1.49643000e+00, 7.67400000e-02, 7.03450000e-01, 4.34860000e-01,\n", - " 6.13920000e-01, 2.17430000e-01, 2.50556100e+01, 6.39500000e-01,\n", - " 5.62760000e-01, 2.55800000e+01, 9.20880000e-01, 1.66270000e-01,\n", - " 0.00000000e+00, 1.66270000e-01, 7.67400000e-02, 6.39500000e-01,\n", - " 8.82510000e-01, 1.79060000e-01, 6.77870000e-01, 8.44140000e+00,\n", - " 5.38459000e+00, 6.51011000e+00, 2.27150400e+01, 1.97221800e+01,\n", - " 5.37180000e-01, 3.06960000e-01, 5.16716000e+00, 3.32540000e+00,\n", - " 1.12424100e+01, 7.98096000e+00, 1.15110000e-01, 2.81380000e+00,\n", - " 8.05770000e-01, 1.14214700e+01, 6.39500000e-02, 8.95300000e-02,\n", - " 1.40690000e-01, 6.39500000e-02, 4.02885000e+00, 3.18471000e+00,\n", - " 3.19750000e+00, 1.00401500e+01, 5.24390000e-01, 1.27900000e-01,\n", - " 5.00089000e+00, 1.66270000e-01, 5.24390000e-01, 8.07049000e+00,\n", - " 5.49970000e-01, 5.11600000e-01, 4.86020000e-01, 5.62760000e-01,\n", - " 2.94170000e-01, 6.53569000e+00, 3.70910000e+00, 1.15110000e+00,\n", - " 1.75223000e+00, 6.13920000e-01, 1.15110000e-01, 3.27424000e+00,\n", - " 2.04640000e+00, 4.66835000e+00, 4.60440000e-01, 8.18560000e-01,\n", - " 2.94170000e-01, 4.73230000e-01, 9.59250000e-01, 3.67073000e+00,\n", - " 1.03599000e+00, 3.77305000e+00, 1.44527000e+00, 5.37180000e-01,\n", - " 1.12552000e+00, 1.93129000e+00, 3.22308000e+00, 8.79952000e+00,\n", - " 9.84830000e-01, 4.66835000e+00, 4.34860000e-01, 4.22070000e-01,\n", - " 1.15110000e+00, 2.34057000e+00, 8.95300000e-01, 2.66032000e+00,\n", - " 1.79060000e-01, 6.01130000e-01, 3.32540000e+00, 1.73944000e+00,\n", - " 2.17430000e-01, 3.96490000e-01, 1.39411000e+00, 8.05770000e-01,\n", - " 1.52201000e+00, 1.02320000e+00, 1.40690000e-01, 4.47650000e-01,\n", - " 1.02320000e-01, 1.27900000e-02, 5.19274000e+00, 6.94497000e+00,\n", - " 3.32540000e-01, 2.43010000e-01, 1.53607900e+01, 6.93218000e+00,\n", - " 1.31737000e+00, 5.19274000e+00, 8.05770000e-01, 2.71148000e+00,\n", - " 3.58120000e-01, 3.19750000e-01, 3.61957000e+00, 4.34860000e-01,\n", - " 1.66270000e-01, 2.51963000e+00, 1.41969000e+00, 6.65080000e-01,\n", - " 5.85782000e+00, 2.04640000e-01, 4.73230000e-01, 2.43010000e-01,\n", - " 3.45330000e-01, 1.27900000e-01, 7.99375000e+00, 4.16954000e+00,\n", - " 4.73230000e-01, 2.17430000e-01, 3.40214000e+00, 3.58120000e-01,\n", - " 1.70107000e+00, 1.27900000e-02, 1.57317000e+00, 2.02082000e+00,\n", - " 5.75550000e-01, 1.90571000e+00, 3.19750000e-01, 1.01680500e+01,\n", - " 4.34860000e-01, 4.22070000e-01, 3.96490000e-01, 1.46317600e+01,\n", - " 4.47650000e-01, 1.06157000e+00, 1.15110000e-01, 6.39500000e-02,\n", - " 3.54283000e+00, 1.26621000e+00, 1.02320000e-01, 0.00000000e+00,\n", - " 4.50208000e+00, 2.32778000e+00, 6.70196000e+00, 2.91612000e+00,\n", - " 7.67400000e-02, 5.11600000e-02, 3.83700000e-01, 1.73944000e+00,\n", - " 2.05919000e+00, 3.19750000e-01, 0.00000000e+00, 1.15110000e-01,\n", - " 1.20226000e+00, 2.30220000e-01, 4.09280000e-01, 6.77870000e-01,\n", - " 4.48929000e+00, 2.94170000e+00, 8.95300000e-02, 3.06960000e-01,\n", - " 1.66270000e-01, 1.27900000e-01, 1.27900000e-01, 3.83700000e-01,\n", - " 3.83700000e-01, 4.92415000e+00, 4.69393000e+00, 3.58120000e-01,\n", - " 4.98810000e-01, 1.91850000e-01, 1.40690000e-01, 4.22070000e-01,\n", - " 1.27900000e-01, 1.27900000e-01, 8.69720000e-01, 6.65080000e-01,\n", - " 9.08090000e-01, 1.13831000e+00, 9.70761000e+00, 1.99524000e+00,\n", - " 1.76502000e+00, 1.84176000e+00, 3.44051000e+00, 2.55800000e-01,\n", - " 1.66270000e+00, 4.74509000e+00, 3.32540000e-01, 1.35062400e+01,\n", - " 1.01168900e+01, 6.20315000e+00, 6.90660000e-01, 1.91850000e-01,\n", - " 1.13191500e+01, 2.86496000e+00, 4.77067000e+00, 1.04878000e+00,\n", - " 2.43010000e-01, 3.91374000e+00, 3.14634000e+00, 1.27900000e-01,\n", - " 5.11600000e-02, 3.83700000e-02, 1.15110000e+00, 5.11600000e-02,\n", - " 5.33343000e+00, 1.14342600e+01, 5.11600000e-01, 1.04878000e+00,\n", - " 2.35336000e+00, 6.39500000e-02, 2.94170000e-01, 3.45330000e+00,\n", - " 3.70910000e-01, 6.13920000e-01, 1.31737000e+00, 7.17519000e+00,\n", - " 3.95211000e+00, 8.18560000e-01, 1.29179000e+00, 1.71386000e+00,\n", - " 1.91850000e-01, 8.69720000e-01, 1.09994000e+00, 4.60440000e-01,\n", - " 6.39500000e-02, 6.90660000e-01, 3.32540000e-01, 3.19750000e-01,\n", - " 7.29030000e-01, 9.08090000e-01, 1.34295000e+00, 3.58120000e-01,\n", - " 3.83700000e-02, 4.86020000e-01, 6.17757000e+00, 3.45330000e-01,\n", - " 3.01844000e+00, 3.06960000e-01, 1.09994000e+00, 6.26710000e+00,\n", - " 9.83551000e+00, 2.19988000e+00, 4.19512000e+00, 4.86020000e-01,\n", - " 4.47650000e-01, 3.19750000e-01, 2.34057000e+00, 3.83700000e-01,\n", - " 4.09280000e-01, 2.30220000e-01, 6.39500000e-01, 6.13920000e-01,\n", - " 6.52290000e+00, 1.88013000e+00, 7.41820000e-01, 1.27900000e-02,\n", - " 6.26710000e-01, 2.36615000e+00, 2.72427000e+00, 2.55800000e+00,\n", - " 2.43010000e-01, 9.46460000e-01, 1.79060000e+00, 3.19750000e-01,\n", - " 8.05770000e-01, 4.86020000e-01, 2.17430000e-01, 3.58120000e-01,\n", - " 7.80190000e-01, 6.01130000e-01, 5.24390000e-01, 1.02320000e-01,\n", - " 3.84979000e+00, 4.89857000e+00, 1.91850000e-01, 2.04640000e-01,\n", - " 4.47650000e-01, 1.42992200e+01, 7.73795000e+00, 1.66270000e-01,\n", - " 5.46133000e+00, 2.83938000e+00, 1.27900000e-02, 5.49970000e-01,\n", - " 3.06960000e-01, 2.60916000e+00, 3.83700000e+00, 5.26948000e+00,\n", - " 3.58120000e-01, 1.02447900e+01, 1.75223000e+00, 7.41820000e+00,\n", - " 9.59250000e-01, 1.34295000e+00, 5.71713000e+00, 4.32302000e+00,\n", - " 1.77781000e+00, 2.03361000e+00, 0.00000000e+00, 1.27900000e+00,\n", - " 1.13831000e+00, 1.53480000e-01, 7.67400000e-02, 1.40690000e-01,\n", - " 2.17430000e-01, 4.09280000e-01, 8.44140000e-01, 5.75550000e-01,\n", - " 4.86020000e-01, 2.28941000e+00, 2.49405000e+00, 5.11600000e-02,\n", - " 4.98810000e-01, 6.90660000e-01, 3.06960000e-01, 4.73230000e-01,\n", - " 2.55800000e-01, 8.31350000e-01, 2.13593000e+00, 3.06960000e-01,\n", - " 2.43010000e-01, 1.40178400e+01, 5.49970000e-01, 4.73230000e-01,\n", - " 4.09280000e-01, 2.62195000e+00, 6.01130000e-01, 2.17430000e-01,\n", - " 1.84176000e+00, 4.86020000e-01, 3.38935000e+00, 8.95300000e-01,\n", - " 7.66121000e+00, 5.53807000e+00, 5.24390000e+00, 4.73230000e-01,\n", - " 5.11600000e-02, 6.01130000e-01, 1.40690000e-01, 3.45330000e-01,\n", - " 7.11124000e+00, 3.70910000e-01, 3.83700000e-02, 2.04640000e-01,\n", - " 4.75788000e+00, 1.20226000e+00, 2.81380000e-01, 9.72040000e-01,\n", - " 4.70672000e+00, 8.54372000e+00, 1.56549600e+01, 1.81618000e+00,\n", - " 8.23676000e+00, 1.10633500e+01, 9.59250000e-01, 4.98810000e-01,\n", - " 1.34295000e+00, 1.87757200e+01, 1.00273600e+01, 5.11600000e-02,\n", - " 5.75550000e-01, 8.44140000e-01, 3.58120000e-01, 1.63712000e+00,\n", - " 7.41820000e-01, 1.27900000e+00, 1.41969000e+00, 7.55889000e+00,\n", - " 1.77781000e+00, 1.02320000e-01, 2.14872000e+00, 3.38935000e+00,\n", - " 2.03361000e+00, 1.77781000e+00, 1.15110000e-01, 9.84830000e-01,\n", - " 6.01130000e-01, 2.17430000e-01, 1.15110000e-01, 9.45181000e+00,\n", - " 6.90660000e-01, 2.68590000e-01, 8.95300000e-01, 1.71386000e+00,\n", - " 1.01168900e+01, 5.65318000e+00, 8.82510000e-01, 1.22784000e+00,\n", - " 4.96252000e+00, 7.03450000e-01, 1.20226000e+00, 3.83700000e+00,\n", - " 3.24866000e+00, 4.73230000e-01, 5.89619000e+00, 5.37180000e-01,\n", - " 1.17412200e+01, 6.26710000e-01, 1.88013000e+00, 8.95300000e-02,\n", - " 6.39500000e-02, 1.66270000e-01, 9.72040000e-01, 6.52290000e-01,\n", - " 1.04878000e+00, 5.75550000e-01, 4.47650000e-01, 5.49970000e-01,\n", - " 1.93129000e+00, 6.65080000e-01, 2.68590000e-01, 2.55800000e+00,\n", - " 2.17430000e-01, 8.21118000e+00, 1.98245000e+00, 2.02082000e+00,\n", - " 4.73230000e-01, 7.41820000e-01, 2.81380000e-01, 9.13206000e+00,\n", - " 3.58120000e-01, 1.66270000e-01, 1.90571000e+00, 1.69339600e+01,\n", - " 2.55800000e-01, 4.09280000e-01, 5.11600000e-02, 7.82748000e+00,\n", - " 1.27900000e-01, 1.76502000e+00, 2.55800000e-01, 7.04729000e+00,\n", - " 2.86496000e+00, 1.15110000e-01, 2.55800000e-02, 4.73230000e+00,\n", - " 8.95300000e-02, 7.80190000e-01, 2.60916000e+00, 6.90660000e-01,\n", - " 3.15913000e+00, 1.06157000e+00, 2.25104000e+00, 3.58120000e-01,\n", - " 6.65080000e-01, 1.15110000e-01, 9.73319000e+00, 9.97620000e+00,\n", - " 2.16151000e+00, 5.30785000e+00, 1.08970800e+01, 4.22070000e-01,\n", - " 6.39500000e-02, 2.17430000e-01, 4.47650000e-01, 5.75550000e-01,\n", - " 1.91850000e-01, 7.67400000e-02, 4.22070000e-01, 1.02320000e+00,\n", - " 1.41969000e+00, 4.22070000e-01, 2.30220000e-01, 2.17430000e-01,\n", - " 2.94170000e-01, 3.83700000e-02, 9.46460000e-01, 4.86020000e-01,\n", - " 2.30220000e-01, 1.18947000e+00, 1.02320000e-01, 1.82897000e+00,\n", - " 3.12076000e+00, 1.13831000e+00, 2.96728000e+00, 5.38459000e+00,\n", - " 1.70107000e+00, 8.18560000e+00, 8.95300000e-01, 1.57317000e+00,\n", - " 3.06960000e+00, 1.24063000e+00, 5.88340000e-01, 7.41820000e-01,\n", - " 3.32540000e-01, 4.22070000e-01, 1.27900000e-02, 4.73230000e-01,\n", - " 2.17430000e-01, 1.15110000e-01, 5.24390000e-01, 2.39173000e+00,\n", - " 5.62760000e-01, 4.60440000e-01, 1.91850000e-01, 8.31350000e-01,\n", - " 5.47412000e+00, 2.31499000e+00, 6.26710000e-01, 1.52201000e+00,\n", - " 4.47650000e-01, 1.12552000e+01, 7.92980000e-01, 3.82421000e+00,\n", - " 7.67400000e-01, 9.72040000e-01, 3.96490000e-01, 1.12552000e+00,\n", - " 5.88340000e-01, 4.22070000e-01, 1.43248000e+00, 7.67400000e-02,\n", - " 2.30220000e-01, 6.01130000e-01, 4.47650000e-01, 5.88340000e-01,\n", - " 1.66270000e-01, 8.56930000e-01, 5.11600000e+00, 1.47085000e+00,\n", - " 2.31499000e+00, 1.39411000e+00, 8.05770000e-01, 1.76502000e+00,\n", - " 5.89619000e+00, 4.48929000e+00, 3.32540000e-01, 1.33016000e+00,\n", - " 6.77870000e-01, 8.82510000e-01, 1.99524000e+00, 3.79863000e+00,\n", - " 3.83700000e-02, 6.39500000e-02, 4.51487000e+00, 4.65556000e+00,\n", - " 7.16240000e-01, 8.95300000e-02, 4.98810000e-01, 3.32540000e-01,\n", - " 3.83700000e-02, 8.95300000e-02, 3.83700000e-01, 4.47650000e-01,\n", - " 5.07763000e+00, 2.45568000e+00, 2.68590000e-01, 7.54610000e-01,\n", - " 5.26948000e+00, 3.06960000e-01, 9.56692000e+00, 4.60440000e-01,\n", - " 6.89381000e+00, 6.26710000e-01, 2.72427000e+00, 5.11600000e-02,\n", - " 1.66270000e-01, 4.34860000e-01, 1.79060000e-01, 2.90333000e+00,\n", - " 1.76502000e+00, 1.39411000e+00, 2.04640000e-01, 5.49970000e-01,\n", - " 3.83700000e-02, 2.35336000e+00, 6.52290000e-01, 7.67400000e-02,\n", - " 1.07436000e+00, 3.74747000e+00, 1.33016000e+00, 1.27900000e-02,\n", - " 5.55086000e+00, 3.83700000e-01, 3.91374000e+00, 6.39500000e-02,\n", - " 3.83700000e-02, 4.98810000e-01, 2.32778000e+00, 3.58120000e-01,\n", - " 9.72040000e-01, 2.26383000e+00, 1.15110000e-01, 1.53480000e-01,\n", - " 8.08328000e+00, 5.11600000e-02, 5.11600000e-02, 4.09280000e-01,\n", - " 4.73230000e-01, 4.09280000e-01, 1.40690000e-01, 6.90660000e-01,\n", - " 5.88340000e-01, 8.18560000e-01, 6.13920000e-01, 1.76502000e+00,\n", - " 3.18471000e+00, 2.43010000e-01, 1.27900000e-01, 3.32540000e-01,\n", - " 5.49970000e-01, 5.62760000e-01, 1.84176000e+00, 2.17430000e-01,\n", - " 1.15110000e-01, 6.26710000e-01, 3.26145000e+00, 1.06157000e+00,\n", - " 6.01130000e-01, 2.26638800e+01, 2.55800000e-02, 2.81380000e-01,\n", - " 2.68590000e-01, 7.67400000e-02, 8.95300000e-02, 1.15110000e-01,\n", - " 1.02320000e-01, 7.41820000e-01, 1.79060000e-01, 2.37894000e+00,\n", - " 1.23039800e+01, 7.03450000e-01, 2.43010000e-01, 8.31350000e-01,\n", - " 4.43813000e+00, 3.45330000e-01, 2.17430000e-01, 9.59250000e-01,\n", - " 1.91850000e-01, 1.11273000e+00, 1.89292000e+00, 1.54759000e+00,\n", - " 1.40690000e-01, 7.16240000e-01, 4.98810000e-01, 3.70910000e-01,\n", - " 6.01130000e-01, 3.35098000e+00, 7.16240000e-01, 1.16389000e+00,\n", - " 1.89292000e+00, 2.30220000e+00, 1.79060000e-01, 5.11600000e-01,\n", - " 2.12314000e+00, 1.94408000e+00, 6.93218000e+00, 1.66270000e-01,\n", - " 2.54521000e+00, 3.06960000e-01, 7.54610000e-01, 1.06157000e+00,\n", - " 2.55800000e-01, 1.06157000e+00, 3.83700000e-01, 3.19750000e-01,\n", - " 8.95300000e-01, 1.01041000e+00, 2.30220000e-01, 1.02320000e-01,\n", - " 8.18560000e-01, 1.44527000e+00, 9.08090000e-01, 6.01130000e-01,\n", - " 3.45330000e-01, 3.83700000e-02, 1.45806000e+00, 4.10559000e+00,\n", - " 5.49970000e-01, 2.81380000e-01, 1.27900000e-02, 8.44140000e-01,\n", - " 6.01130000e-01, 1.91850000e-01, 2.30220000e-01, 1.01041000e+00,\n", - " 3.06960000e-01, 6.54848000e+00, 6.01130000e-01, 2.30220000e-01,\n", - " 0.00000000e+00, 1.30458000e+00, 3.06960000e-01, 4.09280000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.18060609e+03, -2.52731782e+03, -3.69932230e+00, -7.62137955e+01,\n", - " 0.00000000e+00, 0.00000000e+00, -5.65044350e+01, -3.82965837e+02,\n", - " 0.00000000e+00, -5.41665139e+01, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 9.17900000e-01, 4.28810000e+00, 8.37070000e+00, 5.93210000e+00,\n", - " 3.15100000e-01, 5.75400000e-01, 3.83600000e-01, 8.08300000e-01,\n", - " 1.32890000e+00, 2.05500000e-01, 8.08300000e-01, 6.43900000e-01,\n", - " 1.44124000e+01, 5.48000000e-02, 1.91800000e-01, 1.23300000e-01,\n", - " 7.19250000e+00, 5.17860000e+00, 7.80900000e-01, 1.21930000e+00,\n", - " 2.87700000e-01, 1.50700000e-01, 8.22000000e-02, 0.00000000e+00,\n", - " 2.74000000e-01, 9.04200000e-01, 6.85000000e-02, 5.27450000e+00,\n", - " 1.02750000e+00, 4.23330000e+00, 2.24680000e+00, 1.71250000e+00,\n", - " 1.89060000e+00, 8.22000000e-02, 0.00000000e+00, 9.59000000e-02,\n", - " 1.06860000e+00, 4.93200000e-01, 2.46600000e-01, 1.78100000e-01,\n", - " 6.16500000e-01, 5.75400000e-01, 1.54810000e+00, 3.26060000e+00,\n", - " 5.20600000e-01, 5.41150000e+00, 1.71250000e+00, 6.89110000e+00,\n", - " 8.63100000e-01, 2.40846000e+01, 1.50700000e-01, 1.91800000e-01,\n", - " 6.30200000e-01, 4.52100000e-01, 1.01380000e+00, 2.46600000e-01,\n", - " 9.04200000e-01, 7.20620000e+00, 1.25081000e+01, 3.35650000e+00,\n", - " 2.34270000e+00, 2.05500000e+00, 8.22000000e-01, 3.50720000e+00,\n", - " 4.24700000e-01, 3.42500000e-01, 3.34280000e+00, 2.84960000e+00,\n", - " 1.37000000e-01, 0.00000000e+00, 6.30200000e-01, 6.43900000e-01,\n", - " 5.48000000e-02, 1.50700000e-01, 1.15080000e+00, 2.35640000e+00,\n", - " 1.39740000e+00, 4.52100000e-01, 4.65800000e-01, 3.45240000e+00,\n", - " 8.02820000e+00, 7.13770000e+00, 1.56180000e+00, 2.52080000e+00,\n", - " 2.94550000e+00, 3.28800000e+00, 3.69900000e-01, 7.67200000e-01,\n", - " 1.37000000e-01, 1.64400000e-01, 2.46600000e-01, 0.00000000e+00,\n", - " 6.85000000e-02, 1.91800000e-01, 2.78110000e+00, 7.26100000e-01,\n", - " 8.22000000e-02, 0.00000000e+00, 2.05500000e-01, 2.23310000e+00,\n", - " 1.78100000e+00, 6.35680000e+00, 8.32960000e+00, 1.54810000e+00,\n", - " 2.46600000e-01, 1.23300000e-01, 6.43900000e-01, 1.23300000e-01,\n", - " 3.68530000e+00, 2.86330000e+00, 8.76800000e-01, 7.12400000e-01,\n", - " 7.46650000e+00, 1.50700000e+00, 0.00000000e+00, 3.60310000e+00,\n", - " 2.37010000e+00, 1.16998000e+01, 1.89060000e+00, 5.60330000e+00,\n", - " 1.16450000e+00, 1.58920000e+00, 4.34290000e+00, 7.28840000e+00,\n", - " 6.52120000e+00, 1.30561000e+01, 1.94540000e+00, 8.35700000e-01,\n", - " 5.54850000e+00, 6.87740000e+00, 2.34270000e+00, 1.28780000e+00,\n", - " 2.74000000e-01, 1.09600000e+00, 2.04130000e+00, 1.42480000e+00,\n", - " 1.20560000e+00, 3.56200000e+00, 1.01380000e+00, 3.42500000e-01,\n", - " 6.80890000e+00, 5.79510000e+00, 5.08270000e+00, 5.31560000e+00,\n", - " 8.08300000e-01, 9.17900000e-01, 1.78100000e-01, 4.79500000e-01,\n", - " 9.86400000e-01, 1.89060000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.36041000e+01, 1.97828000e+01, 4.29495000e+01, 1.12340000e+00,\n", - " 1.23300000e+00, 6.71300000e-01, 1.50700000e-01, 1.64400000e-01,\n", - " 4.11000000e-01, 3.56200000e-01, 2.20570000e+00, 2.01390000e+00,\n", - " 1.89060000e+00, 5.48000000e-01, 1.41932000e+01, 2.59889000e+01,\n", - " 3.97300000e-01, 3.42500000e-01, 9.17900000e-01, 3.69900000e-01,\n", - " 4.11000000e-01, 9.72700000e-01, 1.83580000e+00, 6.57600000e-01,\n", - " 9.31600000e-01, 9.59000000e-01, 1.23300000e-01, 2.34270000e+00,\n", - " 3.01400000e-01, 7.26100000e-01, 8.63100000e-01, 2.23310000e+00,\n", - " 1.73990000e+00, 1.50700000e-01, 2.58930000e+00, 7.80900000e-01,\n", - " 5.61700000e-01, 6.16500000e-01, 1.45220000e+00, 7.39800000e-01,\n", - " 1.60290000e+00, 8.22000000e-02, 7.53500000e-01, 4.65800000e-01,\n", - " 6.57600000e-01, 2.32900000e-01, 2.68383000e+01, 6.85000000e-01,\n", - " 6.02800000e-01, 2.74000000e+01, 9.86400000e-01, 1.78100000e-01,\n", - " 0.00000000e+00, 1.78100000e-01, 8.22000000e-02, 6.85000000e-01,\n", - " 9.45300000e-01, 1.91800000e-01, 7.26100000e-01, 9.04200000e+00,\n", - " 5.76770000e+00, 6.97330000e+00, 2.43312000e+01, 2.11254000e+01,\n", - " 5.75400000e-01, 3.28800000e-01, 5.53480000e+00, 3.56200000e+00,\n", - " 1.20423000e+01, 8.54880000e+00, 1.23300000e-01, 3.01400000e+00,\n", - " 8.63100000e-01, 1.22341000e+01, 6.85000000e-02, 9.59000000e-02,\n", - " 1.50700000e-01, 6.85000000e-02, 4.31550000e+00, 3.41130000e+00,\n", - " 3.42500000e+00, 1.07545000e+01, 5.61700000e-01, 1.37000000e-01,\n", - " 5.35670000e+00, 1.78100000e-01, 5.61700000e-01, 8.64470000e+00,\n", - " 5.89100000e-01, 5.48000000e-01, 5.20600000e-01, 6.02800000e-01,\n", - " 3.15100000e-01, 7.00070000e+00, 3.97300000e+00, 1.23300000e+00,\n", - " 1.87690000e+00, 6.57600000e-01, 1.23300000e-01, 3.50720000e+00,\n", - " 2.19200000e+00, 5.00050000e+00, 4.93200000e-01, 8.76800000e-01,\n", - " 3.15100000e-01, 5.06900000e-01, 1.02750000e+00, 3.93190000e+00,\n", - " 1.10970000e+00, 4.04150000e+00, 1.54810000e+00, 5.75400000e-01,\n", - " 1.20560000e+00, 2.06870000e+00, 3.45240000e+00, 9.42560000e+00,\n", - " 1.05490000e+00, 5.00050000e+00, 4.65800000e-01, 4.52100000e-01,\n", - " 1.23300000e+00, 2.50710000e+00, 9.59000000e-01, 2.84960000e+00,\n", - " 1.91800000e-01, 6.43900000e-01, 3.56200000e+00, 1.86320000e+00,\n", - " 2.32900000e-01, 4.24700000e-01, 1.49330000e+00, 8.63100000e-01,\n", - " 1.63030000e+00, 1.09600000e+00, 1.50700000e-01, 4.79500000e-01,\n", - " 1.09600000e-01, 1.37000000e-02, 5.56220000e+00, 7.43910000e+00,\n", - " 3.56200000e-01, 2.60300000e-01, 1.64537000e+01, 7.42540000e+00,\n", - " 1.41110000e+00, 5.56220000e+00, 8.63100000e-01, 2.90440000e+00,\n", - " 3.83600000e-01, 3.42500000e-01, 3.87710000e+00, 4.65800000e-01,\n", - " 1.78100000e-01, 2.69890000e+00, 1.52070000e+00, 7.12400000e-01,\n", - " 6.27460000e+00, 2.19200000e-01, 5.06900000e-01, 2.60300000e-01,\n", - " 3.69900000e-01, 1.37000000e-01, 8.56250000e+00, 4.46620000e+00,\n", - " 5.06900000e-01, 2.32900000e-01, 3.64420000e+00, 3.83600000e-01,\n", - " 1.82210000e+00, 1.37000000e-02, 1.68510000e+00, 2.16460000e+00,\n", - " 6.16500000e-01, 2.04130000e+00, 3.42500000e-01, 1.08915000e+01,\n", - " 4.65800000e-01, 4.52100000e-01, 4.24700000e-01, 1.56728000e+01,\n", - " 4.79500000e-01, 1.13710000e+00, 1.23300000e-01, 6.85000000e-02,\n", - " 3.79490000e+00, 1.35630000e+00, 1.09600000e-01, 0.00000000e+00,\n", - " 4.82240000e+00, 2.49340000e+00, 7.17880000e+00, 3.12360000e+00,\n", - " 8.22000000e-02, 5.48000000e-02, 4.11000000e-01, 1.86320000e+00,\n", - " 2.20570000e+00, 3.42500000e-01, 0.00000000e+00, 1.23300000e-01,\n", - " 1.28780000e+00, 2.46600000e-01, 4.38400000e-01, 7.26100000e-01,\n", - " 4.80870000e+00, 3.15100000e+00, 9.59000000e-02, 3.28800000e-01,\n", - " 1.78100000e-01, 1.37000000e-01, 1.37000000e-01, 4.11000000e-01,\n", - " 4.11000000e-01, 5.27450000e+00, 5.02790000e+00, 3.83600000e-01,\n", - " 5.34300000e-01, 2.05500000e-01, 1.50700000e-01, 4.52100000e-01,\n", - " 1.37000000e-01, 1.37000000e-01, 9.31600000e-01, 7.12400000e-01,\n", - " 9.72700000e-01, 1.21930000e+00, 1.03983000e+01, 2.13720000e+00,\n", - " 1.89060000e+00, 1.97280000e+00, 3.68530000e+00, 2.74000000e-01,\n", - " 1.78100000e+00, 5.08270000e+00, 3.56200000e-01, 1.44672000e+01,\n", - " 1.08367000e+01, 6.64450000e+00, 7.39800000e-01, 2.05500000e-01,\n", - " 1.21245000e+01, 3.06880000e+00, 5.11010000e+00, 1.12340000e+00,\n", - " 2.60300000e-01, 4.19220000e+00, 3.37020000e+00, 1.37000000e-01,\n", - " 5.48000000e-02, 4.11000000e-02, 1.23300000e+00, 5.48000000e-02,\n", - " 5.71290000e+00, 1.22478000e+01, 5.48000000e-01, 1.12340000e+00,\n", - " 2.52080000e+00, 6.85000000e-02, 3.15100000e-01, 3.69900000e+00,\n", - " 3.97300000e-01, 6.57600000e-01, 1.41110000e+00, 7.68570000e+00,\n", - " 4.23330000e+00, 8.76800000e-01, 1.38370000e+00, 1.83580000e+00,\n", - " 2.05500000e-01, 9.31600000e-01, 1.17820000e+00, 4.93200000e-01,\n", - " 6.85000000e-02, 7.39800000e-01, 3.56200000e-01, 3.42500000e-01,\n", - " 7.80900000e-01, 9.72700000e-01, 1.43850000e+00, 3.83600000e-01,\n", - " 4.11000000e-02, 5.20600000e-01, 6.61710000e+00, 3.69900000e-01,\n", - " 3.23320000e+00, 3.28800000e-01, 1.17820000e+00, 6.71300000e+00,\n", - " 1.05353000e+01, 2.35640000e+00, 4.49360000e+00, 5.20600000e-01,\n", - " 4.79500000e-01, 3.42500000e-01, 2.50710000e+00, 4.11000000e-01,\n", - " 4.38400000e-01, 2.46600000e-01, 6.85000000e-01, 6.57600000e-01,\n", - " 6.98700000e+00, 2.01390000e+00, 7.94600000e-01, 1.37000000e-02,\n", - " 6.71300000e-01, 2.53450000e+00, 2.91810000e+00, 2.74000000e+00,\n", - " 2.60300000e-01, 1.01380000e+00, 1.91800000e+00, 3.42500000e-01,\n", - " 8.63100000e-01, 5.20600000e-01, 2.32900000e-01, 3.83600000e-01,\n", - " 8.35700000e-01, 6.43900000e-01, 5.61700000e-01, 1.09600000e-01,\n", - " 4.12370000e+00, 5.24710000e+00, 2.05500000e-01, 2.19200000e-01,\n", - " 4.79500000e-01, 1.53166000e+01, 8.28850000e+00, 1.78100000e-01,\n", - " 5.84990000e+00, 3.04140000e+00, 1.37000000e-02, 5.89100000e-01,\n", - " 3.28800000e-01, 2.79480000e+00, 4.11000000e+00, 5.64440000e+00,\n", - " 3.83600000e-01, 1.09737000e+01, 1.87690000e+00, 7.94600000e+00,\n", - " 1.02750000e+00, 1.43850000e+00, 6.12390000e+00, 4.63060000e+00,\n", - " 1.90430000e+00, 2.17830000e+00, 0.00000000e+00, 1.37000000e+00,\n", - " 1.21930000e+00, 1.64400000e-01, 8.22000000e-02, 1.50700000e-01,\n", - " 2.32900000e-01, 4.38400000e-01, 9.04200000e-01, 6.16500000e-01,\n", - " 5.20600000e-01, 2.45230000e+00, 2.67150000e+00, 5.48000000e-02,\n", - " 5.34300000e-01, 7.39800000e-01, 3.28800000e-01, 5.06900000e-01,\n", - " 2.74000000e-01, 8.90500000e-01, 2.28790000e+00, 3.28800000e-01,\n", - " 2.60300000e-01, 1.50152000e+01, 5.89100000e-01, 5.06900000e-01,\n", - " 4.38400000e-01, 2.80850000e+00, 6.43900000e-01, 2.32900000e-01,\n", - " 1.97280000e+00, 5.20600000e-01, 3.63050000e+00, 9.59000000e-01,\n", - " 8.20630000e+00, 5.93210000e+00, 5.61700000e+00, 5.06900000e-01,\n", - " 5.48000000e-02, 6.43900000e-01, 1.50700000e-01, 3.69900000e-01,\n", - " 7.61720000e+00, 3.97300000e-01, 4.11000000e-02, 2.19200000e-01,\n", - " 5.09640000e+00, 1.28780000e+00, 3.01400000e-01, 1.04120000e+00,\n", - " 5.04160000e+00, 9.15160000e+00, 1.67688000e+01, 1.94540000e+00,\n", - " 8.82280000e+00, 1.18505000e+01, 1.02750000e+00, 5.34300000e-01,\n", - " 1.43850000e+00, 2.01116000e+01, 1.07408000e+01, 5.48000000e-02,\n", - " 6.16500000e-01, 9.04200000e-01, 3.83600000e-01, 1.75360000e+00,\n", - " 7.94600000e-01, 1.37000000e+00, 1.52070000e+00, 8.09670000e+00,\n", - " 1.90430000e+00, 1.09600000e-01, 2.30160000e+00, 3.63050000e+00,\n", - " 2.17830000e+00, 1.90430000e+00, 1.23300000e-01, 1.05490000e+00,\n", - " 6.43900000e-01, 2.32900000e-01, 1.23300000e-01, 1.01243000e+01,\n", - " 7.39800000e-01, 2.87700000e-01, 9.59000000e-01, 1.83580000e+00,\n", - " 1.08367000e+01, 6.05540000e+00, 9.45300000e-01, 1.31520000e+00,\n", - " 5.31560000e+00, 7.53500000e-01, 1.28780000e+00, 4.11000000e+00,\n", - " 3.47980000e+00, 5.06900000e-01, 6.31570000e+00, 5.75400000e-01,\n", - " 1.25766000e+01, 6.71300000e-01, 2.01390000e+00, 9.59000000e-02,\n", - " 6.85000000e-02, 1.78100000e-01, 1.04120000e+00, 6.98700000e-01,\n", - " 1.12340000e+00, 6.16500000e-01, 4.79500000e-01, 5.89100000e-01,\n", - " 2.06870000e+00, 7.12400000e-01, 2.87700000e-01, 2.74000000e+00,\n", - " 2.32900000e-01, 8.79540000e+00, 2.12350000e+00, 2.16460000e+00,\n", - " 5.06900000e-01, 7.94600000e-01, 3.01400000e-01, 9.78180000e+00,\n", - " 3.83600000e-01, 1.78100000e-01, 2.04130000e+00, 1.81388000e+01,\n", - " 2.74000000e-01, 4.38400000e-01, 5.48000000e-02, 8.38440000e+00,\n", - " 1.37000000e-01, 1.89060000e+00, 2.74000000e-01, 7.54870000e+00,\n", - " 3.06880000e+00, 1.23300000e-01, 2.74000000e-02, 5.06900000e+00,\n", - " 9.59000000e-02, 8.35700000e-01, 2.79480000e+00, 7.39800000e-01,\n", - " 3.38390000e+00, 1.13710000e+00, 2.41120000e+00, 3.83600000e-01,\n", - " 7.12400000e-01, 1.23300000e-01, 1.04257000e+01, 1.06860000e+01,\n", - " 2.31530000e+00, 5.68550000e+00, 1.16724000e+01, 4.52100000e-01,\n", - " 6.85000000e-02, 2.32900000e-01, 4.79500000e-01, 6.16500000e-01,\n", - " 2.05500000e-01, 8.22000000e-02, 4.52100000e-01, 1.09600000e+00,\n", - " 1.52070000e+00, 4.52100000e-01, 2.46600000e-01, 2.32900000e-01,\n", - " 3.15100000e-01, 4.11000000e-02, 1.01380000e+00, 5.20600000e-01,\n", - " 2.46600000e-01, 1.27410000e+00, 1.09600000e-01, 1.95910000e+00,\n", - " 3.34280000e+00, 1.21930000e+00, 3.17840000e+00, 5.76770000e+00,\n", - " 1.82210000e+00, 8.76800000e+00, 9.59000000e-01, 1.68510000e+00,\n", - " 3.28800000e+00, 1.32890000e+00, 6.30200000e-01, 7.94600000e-01,\n", - " 3.56200000e-01, 4.52100000e-01, 1.37000000e-02, 5.06900000e-01,\n", - " 2.32900000e-01, 1.23300000e-01, 5.61700000e-01, 2.56190000e+00,\n", - " 6.02800000e-01, 4.93200000e-01, 2.05500000e-01, 8.90500000e-01,\n", - " 5.86360000e+00, 2.47970000e+00, 6.71300000e-01, 1.63030000e+00,\n", - " 4.79500000e-01, 1.20560000e+01, 8.49400000e-01, 4.09630000e+00,\n", - " 8.22000000e-01, 1.04120000e+00, 4.24700000e-01, 1.20560000e+00,\n", - " 6.30200000e-01, 4.52100000e-01, 1.53440000e+00, 8.22000000e-02,\n", - " 2.46600000e-01, 6.43900000e-01, 4.79500000e-01, 6.30200000e-01,\n", - " 1.78100000e-01, 9.17900000e-01, 5.48000000e+00, 1.57550000e+00,\n", - " 2.47970000e+00, 1.49330000e+00, 8.63100000e-01, 1.89060000e+00,\n", - " 6.31570000e+00, 4.80870000e+00, 3.56200000e-01, 1.42480000e+00,\n", - " 7.26100000e-01, 9.45300000e-01, 2.13720000e+00, 4.06890000e+00,\n", - " 4.11000000e-02, 6.85000000e-02, 4.83610000e+00, 4.98680000e+00,\n", - " 7.67200000e-01, 9.59000000e-02, 5.34300000e-01, 3.56200000e-01,\n", - " 4.11000000e-02, 9.59000000e-02, 4.11000000e-01, 4.79500000e-01,\n", - " 5.43890000e+00, 2.63040000e+00, 2.87700000e-01, 8.08300000e-01,\n", - " 5.64440000e+00, 3.28800000e-01, 1.02476000e+01, 4.93200000e-01,\n", - " 7.38430000e+00, 6.71300000e-01, 2.91810000e+00, 5.48000000e-02,\n", - " 1.78100000e-01, 4.65800000e-01, 1.91800000e-01, 3.10990000e+00,\n", - " 1.89060000e+00, 1.49330000e+00, 2.19200000e-01, 5.89100000e-01,\n", - " 4.11000000e-02, 2.52080000e+00, 6.98700000e-01, 8.22000000e-02,\n", - " 1.15080000e+00, 4.01410000e+00, 1.42480000e+00, 1.37000000e-02,\n", - " 5.94580000e+00, 4.11000000e-01, 4.19220000e+00, 6.85000000e-02,\n", - " 4.11000000e-02, 5.34300000e-01, 2.49340000e+00, 3.83600000e-01,\n", - " 1.04120000e+00, 2.42490000e+00, 1.23300000e-01, 1.64400000e-01,\n", - " 8.65840000e+00, 5.48000000e-02, 5.48000000e-02, 4.38400000e-01,\n", - " 5.06900000e-01, 4.38400000e-01, 1.50700000e-01, 7.39800000e-01,\n", - " 6.30200000e-01, 8.76800000e-01, 6.57600000e-01, 1.89060000e+00,\n", - " 3.41130000e+00, 2.60300000e-01, 1.37000000e-01, 3.56200000e-01,\n", - " 5.89100000e-01, 6.02800000e-01, 1.97280000e+00, 2.32900000e-01,\n", - " 1.23300000e-01, 6.71300000e-01, 3.49350000e+00, 1.13710000e+00,\n", - " 6.43900000e-01, 2.42764000e+01, 2.74000000e-02, 3.01400000e-01,\n", - " 2.87700000e-01, 8.22000000e-02, 9.59000000e-02, 1.23300000e-01,\n", - " 1.09600000e-01, 7.94600000e-01, 1.91800000e-01, 2.54820000e+00,\n", - " 1.31794000e+01, 7.53500000e-01, 2.60300000e-01, 8.90500000e-01,\n", - " 4.75390000e+00, 3.69900000e-01, 2.32900000e-01, 1.02750000e+00,\n", - " 2.05500000e-01, 1.19190000e+00, 2.02760000e+00, 1.65770000e+00,\n", - " 1.50700000e-01, 7.67200000e-01, 5.34300000e-01, 3.97300000e-01,\n", - " 6.43900000e-01, 3.58940000e+00, 7.67200000e-01, 1.24670000e+00,\n", - " 2.02760000e+00, 2.46600000e+00, 1.91800000e-01, 5.48000000e-01,\n", - " 2.27420000e+00, 2.08240000e+00, 7.42540000e+00, 1.78100000e-01,\n", - " 2.72630000e+00, 3.28800000e-01, 8.08300000e-01, 1.13710000e+00,\n", - " 2.74000000e-01, 1.13710000e+00, 4.11000000e-01, 3.42500000e-01,\n", - " 9.59000000e-01, 1.08230000e+00, 2.46600000e-01, 1.09600000e-01,\n", - " 8.76800000e-01, 1.54810000e+00, 9.72700000e-01, 6.43900000e-01,\n", - " 3.69900000e-01, 4.11000000e-02, 1.56180000e+00, 4.39770000e+00,\n", - " 5.89100000e-01, 3.01400000e-01, 1.37000000e-02, 9.04200000e-01,\n", - " 6.43900000e-01, 2.05500000e-01, 2.46600000e-01, 1.08230000e+00,\n", - " 3.28800000e-01, 7.01440000e+00, 6.43900000e-01, 2.46600000e-01,\n", - " 0.00000000e+00, 1.39740000e+00, 3.28800000e-01, 4.38400000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.14322958e+03, -2.52731782e+03, -1.28518383e+01, -8.74204211e+01,\n", - " -2.34720414e-02, 0.00000000e+00, -7.87645079e+01, -4.24165227e+02,\n", - " 0.00000000e+00, -6.95727990e+01, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 9.17900000e-01, 4.28810000e+00, 8.37070000e+00, 5.93210000e+00,\n", - " 3.15100000e-01, 5.75400000e-01, 3.83600000e-01, 8.08300000e-01,\n", - " 1.32890000e+00, 2.05500000e-01, 8.08300000e-01, 6.43900000e-01,\n", - " 1.44124000e+01, 5.48000000e-02, 1.91800000e-01, 1.23300000e-01,\n", - " 7.19250000e+00, 5.17860000e+00, 7.80900000e-01, 1.21930000e+00,\n", - " 2.87700000e-01, 1.50700000e-01, 8.22000000e-02, 0.00000000e+00,\n", - " 2.74000000e-01, 9.04200000e-01, 6.85000000e-02, 5.27450000e+00,\n", - " 1.02750000e+00, 4.23330000e+00, 2.24680000e+00, 1.71250000e+00,\n", - " 1.89060000e+00, 8.22000000e-02, 0.00000000e+00, 9.59000000e-02,\n", - " 1.06860000e+00, 4.93200000e-01, 2.46600000e-01, 1.78100000e-01,\n", - " 6.16500000e-01, 5.75400000e-01, 1.54810000e+00, 3.26060000e+00,\n", - " 5.20600000e-01, 5.41150000e+00, 1.71250000e+00, 6.89110000e+00,\n", - " 8.63100000e-01, 2.40846000e+01, 1.50700000e-01, 1.91800000e-01,\n", - " 6.30200000e-01, 4.52100000e-01, 1.01380000e+00, 2.46600000e-01,\n", - " 9.04200000e-01, 7.20620000e+00, 1.25081000e+01, 3.35650000e+00,\n", - " 2.34270000e+00, 2.05500000e+00, 8.22000000e-01, 3.50720000e+00,\n", - " 4.24700000e-01, 3.42500000e-01, 3.34280000e+00, 2.84960000e+00,\n", - " 1.37000000e-01, 0.00000000e+00, 6.30200000e-01, 6.43900000e-01,\n", - " 5.48000000e-02, 1.50700000e-01, 1.15080000e+00, 2.35640000e+00,\n", - " 1.39740000e+00, 4.52100000e-01, 4.65800000e-01, 3.45240000e+00,\n", - " 8.02820000e+00, 7.13770000e+00, 1.56180000e+00, 2.52080000e+00,\n", - " 2.94550000e+00, 3.28800000e+00, 3.69900000e-01, 7.67200000e-01,\n", - " 1.37000000e-01, 1.64400000e-01, 2.46600000e-01, 0.00000000e+00,\n", - " 6.85000000e-02, 1.91800000e-01, 2.78110000e+00, 7.26100000e-01,\n", - " 8.22000000e-02, 0.00000000e+00, 2.05500000e-01, 2.23310000e+00,\n", - " 1.78100000e+00, 6.35680000e+00, 8.32960000e+00, 1.54810000e+00,\n", - " 2.46600000e-01, 1.23300000e-01, 6.43900000e-01, 1.23300000e-01,\n", - " 3.68530000e+00, 2.86330000e+00, 8.76800000e-01, 7.12400000e-01,\n", - " 7.46650000e+00, 1.50700000e+00, 0.00000000e+00, 3.60310000e+00,\n", - " 2.37010000e+00, 1.16998000e+01, 1.89060000e+00, 5.60330000e+00,\n", - " 1.16450000e+00, 1.58920000e+00, 4.34290000e+00, 7.28840000e+00,\n", - " 6.52120000e+00, 1.30561000e+01, 1.94540000e+00, 8.35700000e-01,\n", - " 5.54850000e+00, 6.87740000e+00, 2.34270000e+00, 1.28780000e+00,\n", - " 2.74000000e-01, 1.09600000e+00, 2.04130000e+00, 1.42480000e+00,\n", - " 1.20560000e+00, 3.56200000e+00, 1.01380000e+00, 3.42500000e-01,\n", - " 6.80890000e+00, 5.79510000e+00, 5.08270000e+00, 5.31560000e+00,\n", - " 8.08300000e-01, 9.17900000e-01, 1.78100000e-01, 4.79500000e-01,\n", - " 9.86400000e-01, 1.89060000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.36041000e+01, 1.97828000e+01, 4.29495000e+01, 1.12340000e+00,\n", - " 1.23300000e+00, 6.71300000e-01, 1.50700000e-01, 1.64400000e-01,\n", - " 4.11000000e-01, 3.56200000e-01, 2.20570000e+00, 2.01390000e+00,\n", - " 1.89060000e+00, 5.48000000e-01, 1.41932000e+01, 2.59889000e+01,\n", - " 3.97300000e-01, 3.42500000e-01, 9.17900000e-01, 3.69900000e-01,\n", - " 4.11000000e-01, 9.72700000e-01, 1.83580000e+00, 6.57600000e-01,\n", - " 9.31600000e-01, 9.59000000e-01, 1.23300000e-01, 2.34270000e+00,\n", - " 3.01400000e-01, 7.26100000e-01, 8.63100000e-01, 2.23310000e+00,\n", - " 1.73990000e+00, 1.50700000e-01, 2.58930000e+00, 7.80900000e-01,\n", - " 5.61700000e-01, 6.16500000e-01, 1.45220000e+00, 7.39800000e-01,\n", - " 1.60290000e+00, 8.22000000e-02, 7.53500000e-01, 4.65800000e-01,\n", - " 6.57600000e-01, 2.32900000e-01, 2.68383000e+01, 6.85000000e-01,\n", - " 6.02800000e-01, 2.74000000e+01, 9.86400000e-01, 1.78100000e-01,\n", - " 0.00000000e+00, 1.78100000e-01, 8.22000000e-02, 6.85000000e-01,\n", - " 9.45300000e-01, 1.91800000e-01, 7.26100000e-01, 9.04200000e+00,\n", - " 5.76770000e+00, 6.97330000e+00, 2.43312000e+01, 2.11254000e+01,\n", - " 5.75400000e-01, 3.28800000e-01, 5.53480000e+00, 3.56200000e+00,\n", - " 1.20423000e+01, 8.54880000e+00, 1.23300000e-01, 3.01400000e+00,\n", - " 8.63100000e-01, 1.22341000e+01, 6.85000000e-02, 9.59000000e-02,\n", - " 1.50700000e-01, 6.85000000e-02, 4.31550000e+00, 3.41130000e+00,\n", - " 3.42500000e+00, 1.07545000e+01, 5.61700000e-01, 1.37000000e-01,\n", - " 5.35670000e+00, 1.78100000e-01, 5.61700000e-01, 8.64470000e+00,\n", - " 5.89100000e-01, 5.48000000e-01, 5.20600000e-01, 6.02800000e-01,\n", - " 3.15100000e-01, 7.00070000e+00, 3.97300000e+00, 1.23300000e+00,\n", - " 1.87690000e+00, 6.57600000e-01, 1.23300000e-01, 3.50720000e+00,\n", - " 2.19200000e+00, 5.00050000e+00, 4.93200000e-01, 8.76800000e-01,\n", - " 3.15100000e-01, 5.06900000e-01, 1.02750000e+00, 3.93190000e+00,\n", - " 1.10970000e+00, 4.04150000e+00, 1.54810000e+00, 5.75400000e-01,\n", - " 1.20560000e+00, 2.06870000e+00, 3.45240000e+00, 9.42560000e+00,\n", - " 1.05490000e+00, 5.00050000e+00, 4.65800000e-01, 4.52100000e-01,\n", - " 1.23300000e+00, 2.50710000e+00, 9.59000000e-01, 2.84960000e+00,\n", - " 1.91800000e-01, 6.43900000e-01, 3.56200000e+00, 1.86320000e+00,\n", - " 2.32900000e-01, 4.24700000e-01, 1.49330000e+00, 8.63100000e-01,\n", - " 1.63030000e+00, 1.09600000e+00, 1.50700000e-01, 4.79500000e-01,\n", - " 1.09600000e-01, 1.37000000e-02, 5.56220000e+00, 7.43910000e+00,\n", - " 3.56200000e-01, 2.60300000e-01, 1.64537000e+01, 7.42540000e+00,\n", - " 1.41110000e+00, 5.56220000e+00, 8.63100000e-01, 2.90440000e+00,\n", - " 3.83600000e-01, 3.42500000e-01, 3.87710000e+00, 4.65800000e-01,\n", - " 1.78100000e-01, 2.69890000e+00, 1.52070000e+00, 7.12400000e-01,\n", - " 6.27460000e+00, 2.19200000e-01, 5.06900000e-01, 2.60300000e-01,\n", - " 3.69900000e-01, 1.37000000e-01, 8.56250000e+00, 4.46620000e+00,\n", - " 5.06900000e-01, 2.32900000e-01, 3.64420000e+00, 3.83600000e-01,\n", - " 1.82210000e+00, 1.37000000e-02, 1.68510000e+00, 2.16460000e+00,\n", - " 6.16500000e-01, 2.04130000e+00, 3.42500000e-01, 1.08915000e+01,\n", - " 4.65800000e-01, 4.52100000e-01, 4.24700000e-01, 1.56728000e+01,\n", - " 4.79500000e-01, 1.13710000e+00, 1.23300000e-01, 6.85000000e-02,\n", - " 3.79490000e+00, 1.35630000e+00, 1.09600000e-01, 0.00000000e+00,\n", - " 4.82240000e+00, 2.49340000e+00, 7.17880000e+00, 3.12360000e+00,\n", - " 8.22000000e-02, 5.48000000e-02, 4.11000000e-01, 1.86320000e+00,\n", - " 2.20570000e+00, 3.42500000e-01, 0.00000000e+00, 1.23300000e-01,\n", - " 1.28780000e+00, 2.46600000e-01, 4.38400000e-01, 7.26100000e-01,\n", - " 4.80870000e+00, 3.15100000e+00, 9.59000000e-02, 3.28800000e-01,\n", - " 1.78100000e-01, 1.37000000e-01, 1.37000000e-01, 4.11000000e-01,\n", - " 4.11000000e-01, 5.27450000e+00, 5.02790000e+00, 3.83600000e-01,\n", - " 5.34300000e-01, 2.05500000e-01, 1.50700000e-01, 4.52100000e-01,\n", - " 1.37000000e-01, 1.37000000e-01, 9.31600000e-01, 7.12400000e-01,\n", - " 9.72700000e-01, 1.21930000e+00, 1.03983000e+01, 2.13720000e+00,\n", - " 1.89060000e+00, 1.97280000e+00, 3.68530000e+00, 2.74000000e-01,\n", - " 1.78100000e+00, 5.08270000e+00, 3.56200000e-01, 1.44672000e+01,\n", - " 1.08367000e+01, 6.64450000e+00, 7.39800000e-01, 2.05500000e-01,\n", - " 1.21245000e+01, 3.06880000e+00, 5.11010000e+00, 1.12340000e+00,\n", - " 2.60300000e-01, 4.19220000e+00, 3.37020000e+00, 1.37000000e-01,\n", - " 5.48000000e-02, 4.11000000e-02, 1.23300000e+00, 5.48000000e-02,\n", - " 5.71290000e+00, 1.22478000e+01, 5.48000000e-01, 1.12340000e+00,\n", - " 2.52080000e+00, 6.85000000e-02, 3.15100000e-01, 3.69900000e+00,\n", - " 3.97300000e-01, 6.57600000e-01, 1.41110000e+00, 7.68570000e+00,\n", - " 4.23330000e+00, 8.76800000e-01, 1.38370000e+00, 1.83580000e+00,\n", - " 2.05500000e-01, 9.31600000e-01, 1.17820000e+00, 4.93200000e-01,\n", - " 6.85000000e-02, 7.39800000e-01, 3.56200000e-01, 3.42500000e-01,\n", - " 7.80900000e-01, 9.72700000e-01, 1.43850000e+00, 3.83600000e-01,\n", - " 4.11000000e-02, 5.20600000e-01, 6.61710000e+00, 3.69900000e-01,\n", - " 3.23320000e+00, 3.28800000e-01, 1.17820000e+00, 6.71300000e+00,\n", - " 1.05353000e+01, 2.35640000e+00, 4.49360000e+00, 5.20600000e-01,\n", - " 4.79500000e-01, 3.42500000e-01, 2.50710000e+00, 4.11000000e-01,\n", - " 4.38400000e-01, 2.46600000e-01, 6.85000000e-01, 6.57600000e-01,\n", - " 6.98700000e+00, 2.01390000e+00, 7.94600000e-01, 1.37000000e-02,\n", - " 6.71300000e-01, 2.53450000e+00, 2.91810000e+00, 2.74000000e+00,\n", - " 2.60300000e-01, 1.01380000e+00, 1.91800000e+00, 3.42500000e-01,\n", - " 8.63100000e-01, 5.20600000e-01, 2.32900000e-01, 3.83600000e-01,\n", - " 8.35700000e-01, 6.43900000e-01, 5.61700000e-01, 1.09600000e-01,\n", - " 4.12370000e+00, 5.24710000e+00, 2.05500000e-01, 2.19200000e-01,\n", - " 4.79500000e-01, 1.53166000e+01, 8.28850000e+00, 1.78100000e-01,\n", - " 5.84990000e+00, 3.04140000e+00, 1.37000000e-02, 5.89100000e-01,\n", - " 3.28800000e-01, 2.79480000e+00, 4.11000000e+00, 5.64440000e+00,\n", - " 3.83600000e-01, 1.09737000e+01, 1.87690000e+00, 7.94600000e+00,\n", - " 1.02750000e+00, 1.43850000e+00, 6.12390000e+00, 4.63060000e+00,\n", - " 1.90430000e+00, 2.17830000e+00, 0.00000000e+00, 1.37000000e+00,\n", - " 1.21930000e+00, 1.64400000e-01, 8.22000000e-02, 1.50700000e-01,\n", - " 2.32900000e-01, 4.38400000e-01, 9.04200000e-01, 6.16500000e-01,\n", - " 5.20600000e-01, 2.45230000e+00, 2.67150000e+00, 5.48000000e-02,\n", - " 5.34300000e-01, 7.39800000e-01, 3.28800000e-01, 5.06900000e-01,\n", - " 2.74000000e-01, 8.90500000e-01, 2.28790000e+00, 3.28800000e-01,\n", - " 2.60300000e-01, 1.50152000e+01, 5.89100000e-01, 5.06900000e-01,\n", - " 4.38400000e-01, 2.80850000e+00, 6.43900000e-01, 2.32900000e-01,\n", - " 1.97280000e+00, 5.20600000e-01, 3.63050000e+00, 9.59000000e-01,\n", - " 8.20630000e+00, 5.93210000e+00, 5.61700000e+00, 5.06900000e-01,\n", - " 5.48000000e-02, 6.43900000e-01, 1.50700000e-01, 3.69900000e-01,\n", - " 7.61720000e+00, 3.97300000e-01, 4.11000000e-02, 2.19200000e-01,\n", - " 5.09640000e+00, 1.28780000e+00, 3.01400000e-01, 1.04120000e+00,\n", - " 5.04160000e+00, 9.15160000e+00, 1.67688000e+01, 1.94540000e+00,\n", - " 8.82280000e+00, 1.18505000e+01, 1.02750000e+00, 5.34300000e-01,\n", - " 1.43850000e+00, 2.01116000e+01, 1.07408000e+01, 5.48000000e-02,\n", - " 6.16500000e-01, 9.04200000e-01, 3.83600000e-01, 1.75360000e+00,\n", - " 7.94600000e-01, 1.37000000e+00, 1.52070000e+00, 8.09670000e+00,\n", - " 1.90430000e+00, 1.09600000e-01, 2.30160000e+00, 3.63050000e+00,\n", - " 2.17830000e+00, 1.90430000e+00, 1.23300000e-01, 1.05490000e+00,\n", - " 6.43900000e-01, 2.32900000e-01, 1.23300000e-01, 1.01243000e+01,\n", - " 7.39800000e-01, 2.87700000e-01, 9.59000000e-01, 1.83580000e+00,\n", - " 1.08367000e+01, 6.05540000e+00, 9.45300000e-01, 1.31520000e+00,\n", - " 5.31560000e+00, 7.53500000e-01, 1.28780000e+00, 4.11000000e+00,\n", - " 3.47980000e+00, 5.06900000e-01, 6.31570000e+00, 5.75400000e-01,\n", - " 1.25766000e+01, 6.71300000e-01, 2.01390000e+00, 9.59000000e-02,\n", - " 6.85000000e-02, 1.78100000e-01, 1.04120000e+00, 6.98700000e-01,\n", - " 1.12340000e+00, 6.16500000e-01, 4.79500000e-01, 5.89100000e-01,\n", - " 2.06870000e+00, 7.12400000e-01, 2.87700000e-01, 2.74000000e+00,\n", - " 2.32900000e-01, 8.79540000e+00, 2.12350000e+00, 2.16460000e+00,\n", - " 5.06900000e-01, 7.94600000e-01, 3.01400000e-01, 9.78180000e+00,\n", - " 3.83600000e-01, 1.78100000e-01, 2.04130000e+00, 1.81388000e+01,\n", - " 2.74000000e-01, 4.38400000e-01, 5.48000000e-02, 8.38440000e+00,\n", - " 1.37000000e-01, 1.89060000e+00, 2.74000000e-01, 7.54870000e+00,\n", - " 3.06880000e+00, 1.23300000e-01, 2.74000000e-02, 5.06900000e+00,\n", - " 9.59000000e-02, 8.35700000e-01, 2.79480000e+00, 7.39800000e-01,\n", - " 3.38390000e+00, 1.13710000e+00, 2.41120000e+00, 3.83600000e-01,\n", - " 7.12400000e-01, 1.23300000e-01, 1.04257000e+01, 1.06860000e+01,\n", - " 2.31530000e+00, 5.68550000e+00, 1.16724000e+01, 4.52100000e-01,\n", - " 6.85000000e-02, 2.32900000e-01, 4.79500000e-01, 6.16500000e-01,\n", - " 2.05500000e-01, 8.22000000e-02, 4.52100000e-01, 1.09600000e+00,\n", - " 1.52070000e+00, 4.52100000e-01, 2.46600000e-01, 2.32900000e-01,\n", - " 3.15100000e-01, 4.11000000e-02, 1.01380000e+00, 5.20600000e-01,\n", - " 2.46600000e-01, 1.27410000e+00, 1.09600000e-01, 1.95910000e+00,\n", - " 3.34280000e+00, 1.21930000e+00, 3.17840000e+00, 5.76770000e+00,\n", - " 1.82210000e+00, 8.76800000e+00, 9.59000000e-01, 1.68510000e+00,\n", - " 3.28800000e+00, 1.32890000e+00, 6.30200000e-01, 7.94600000e-01,\n", - " 3.56200000e-01, 4.52100000e-01, 1.37000000e-02, 5.06900000e-01,\n", - " 2.32900000e-01, 1.23300000e-01, 5.61700000e-01, 2.56190000e+00,\n", - " 6.02800000e-01, 4.93200000e-01, 2.05500000e-01, 8.90500000e-01,\n", - " 5.86360000e+00, 2.47970000e+00, 6.71300000e-01, 1.63030000e+00,\n", - " 4.79500000e-01, 1.20560000e+01, 8.49400000e-01, 4.09630000e+00,\n", - " 8.22000000e-01, 1.04120000e+00, 4.24700000e-01, 1.20560000e+00,\n", - " 6.30200000e-01, 4.52100000e-01, 1.53440000e+00, 8.22000000e-02,\n", - " 2.46600000e-01, 6.43900000e-01, 4.79500000e-01, 6.30200000e-01,\n", - " 1.78100000e-01, 9.17900000e-01, 5.48000000e+00, 1.57550000e+00,\n", - " 2.47970000e+00, 1.49330000e+00, 8.63100000e-01, 1.89060000e+00,\n", - " 6.31570000e+00, 4.80870000e+00, 3.56200000e-01, 1.42480000e+00,\n", - " 7.26100000e-01, 9.45300000e-01, 2.13720000e+00, 4.06890000e+00,\n", - " 4.11000000e-02, 6.85000000e-02, 4.83610000e+00, 4.98680000e+00,\n", - " 7.67200000e-01, 9.59000000e-02, 5.34300000e-01, 3.56200000e-01,\n", - " 4.11000000e-02, 9.59000000e-02, 4.11000000e-01, 4.79500000e-01,\n", - " 5.43890000e+00, 2.63040000e+00, 2.87700000e-01, 8.08300000e-01,\n", - " 5.64440000e+00, 3.28800000e-01, 1.02476000e+01, 4.93200000e-01,\n", - " 7.38430000e+00, 6.71300000e-01, 2.91810000e+00, 5.48000000e-02,\n", - " 1.78100000e-01, 4.65800000e-01, 1.91800000e-01, 3.10990000e+00,\n", - " 1.89060000e+00, 1.49330000e+00, 2.19200000e-01, 5.89100000e-01,\n", - " 4.11000000e-02, 2.52080000e+00, 6.98700000e-01, 8.22000000e-02,\n", - " 1.15080000e+00, 4.01410000e+00, 1.42480000e+00, 1.37000000e-02,\n", - " 5.94580000e+00, 4.11000000e-01, 4.19220000e+00, 6.85000000e-02,\n", - " 4.11000000e-02, 5.34300000e-01, 2.49340000e+00, 3.83600000e-01,\n", - " 1.04120000e+00, 2.42490000e+00, 1.23300000e-01, 1.64400000e-01,\n", - " 8.65840000e+00, 5.48000000e-02, 5.48000000e-02, 4.38400000e-01,\n", - " 5.06900000e-01, 4.38400000e-01, 1.50700000e-01, 7.39800000e-01,\n", - " 6.30200000e-01, 8.76800000e-01, 6.57600000e-01, 1.89060000e+00,\n", - " 3.41130000e+00, 2.60300000e-01, 1.37000000e-01, 3.56200000e-01,\n", - " 5.89100000e-01, 6.02800000e-01, 1.97280000e+00, 2.32900000e-01,\n", - " 1.23300000e-01, 6.71300000e-01, 3.49350000e+00, 1.13710000e+00,\n", - " 6.43900000e-01, 2.42764000e+01, 2.74000000e-02, 3.01400000e-01,\n", - " 2.87700000e-01, 8.22000000e-02, 9.59000000e-02, 1.23300000e-01,\n", - " 1.09600000e-01, 7.94600000e-01, 1.91800000e-01, 2.54820000e+00,\n", - " 1.31794000e+01, 7.53500000e-01, 2.60300000e-01, 8.90500000e-01,\n", - " 4.75390000e+00, 3.69900000e-01, 2.32900000e-01, 1.02750000e+00,\n", - " 2.05500000e-01, 1.19190000e+00, 2.02760000e+00, 1.65770000e+00,\n", - " 1.50700000e-01, 7.67200000e-01, 5.34300000e-01, 3.97300000e-01,\n", - " 6.43900000e-01, 3.58940000e+00, 7.67200000e-01, 1.24670000e+00,\n", - " 2.02760000e+00, 2.46600000e+00, 1.91800000e-01, 5.48000000e-01,\n", - " 2.27420000e+00, 2.08240000e+00, 7.42540000e+00, 1.78100000e-01,\n", - " 2.72630000e+00, 3.28800000e-01, 8.08300000e-01, 1.13710000e+00,\n", - " 2.74000000e-01, 1.13710000e+00, 4.11000000e-01, 3.42500000e-01,\n", - " 9.59000000e-01, 1.08230000e+00, 2.46600000e-01, 1.09600000e-01,\n", - " 8.76800000e-01, 1.54810000e+00, 9.72700000e-01, 6.43900000e-01,\n", - " 3.69900000e-01, 4.11000000e-02, 1.56180000e+00, 4.39770000e+00,\n", - " 5.89100000e-01, 3.01400000e-01, 1.37000000e-02, 9.04200000e-01,\n", - " 6.43900000e-01, 2.05500000e-01, 2.46600000e-01, 1.08230000e+00,\n", - " 3.28800000e-01, 7.01440000e+00, 6.43900000e-01, 2.46600000e-01,\n", - " 0.00000000e+00, 1.39740000e+00, 3.28800000e-01, 4.38400000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.11269869e+03, -2.52731782e+03, -1.37958044e+01, -8.65231450e+01,\n", - " -1.44472085e+00, 0.00000000e+00, -7.94566249e+01, -4.61046154e+02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 1.01773000e+00, 4.75447000e+00, 9.28109000e+00, 6.57727000e+00,\n", - " 3.49370000e-01, 6.37980000e-01, 4.25320000e-01, 8.96210000e-01,\n", - " 1.47343000e+00, 2.27850000e-01, 8.96210000e-01, 7.13930000e-01,\n", - " 1.59798800e+01, 6.07600000e-02, 2.12660000e-01, 1.36710000e-01,\n", - " 7.97475000e+00, 5.74182000e+00, 8.65830000e-01, 1.35191000e+00,\n", - " 3.18990000e-01, 1.67090000e-01, 9.11400000e-02, 0.00000000e+00,\n", - " 3.03800000e-01, 1.00254000e+00, 7.59500000e-02, 5.84815000e+00,\n", - " 1.13925000e+00, 4.69371000e+00, 2.49116000e+00, 1.89875000e+00,\n", - " 2.09622000e+00, 9.11400000e-02, 0.00000000e+00, 1.06330000e-01,\n", - " 1.18482000e+00, 5.46840000e-01, 2.73420000e-01, 1.97470000e-01,\n", - " 6.83550000e-01, 6.37980000e-01, 1.71647000e+00, 3.61522000e+00,\n", - " 5.77220000e-01, 6.00005000e+00, 1.89875000e+00, 7.64057000e+00,\n", - " 9.56970000e-01, 2.67040200e+01, 1.67090000e-01, 2.12660000e-01,\n", - " 6.98740000e-01, 5.01270000e-01, 1.12406000e+00, 2.73420000e-01,\n", - " 1.00254000e+00, 7.98994000e+00, 1.38684700e+01, 3.72155000e+00,\n", - " 2.59749000e+00, 2.27850000e+00, 9.11400000e-01, 3.88864000e+00,\n", - " 4.70890000e-01, 3.79750000e-01, 3.70636000e+00, 3.15952000e+00,\n", - " 1.51900000e-01, 0.00000000e+00, 6.98740000e-01, 7.13930000e-01,\n", - " 6.07600000e-02, 1.67090000e-01, 1.27596000e+00, 2.61268000e+00,\n", - " 1.54938000e+00, 5.01270000e-01, 5.16460000e-01, 3.82788000e+00,\n", - " 8.90134000e+00, 7.91399000e+00, 1.73166000e+00, 2.79496000e+00,\n", - " 3.26585000e+00, 3.64560000e+00, 4.10130000e-01, 8.50640000e-01,\n", - " 1.51900000e-01, 1.82280000e-01, 2.73420000e-01, 0.00000000e+00,\n", - " 7.59500000e-02, 2.12660000e-01, 3.08357000e+00, 8.05070000e-01,\n", - " 9.11400000e-02, 0.00000000e+00, 2.27850000e-01, 2.47597000e+00,\n", - " 1.97470000e+00, 7.04816000e+00, 9.23552000e+00, 1.71647000e+00,\n", - " 2.73420000e-01, 1.36710000e-01, 7.13930000e-01, 1.36710000e-01,\n", - " 4.08611000e+00, 3.17471000e+00, 9.72160000e-01, 7.89880000e-01,\n", - " 8.27855000e+00, 1.67090000e+00, 0.00000000e+00, 3.99497000e+00,\n", - " 2.62787000e+00, 1.29722600e+01, 2.09622000e+00, 6.21271000e+00,\n", - " 1.29115000e+00, 1.76204000e+00, 4.81523000e+00, 8.08108000e+00,\n", - " 7.23044000e+00, 1.44760700e+01, 2.15698000e+00, 9.26590000e-01,\n", - " 6.15195000e+00, 7.62538000e+00, 2.59749000e+00, 1.42786000e+00,\n", - " 3.03800000e-01, 1.21520000e+00, 2.26331000e+00, 1.57976000e+00,\n", - " 1.33672000e+00, 3.94940000e+00, 1.12406000e+00, 3.79750000e-01,\n", - " 7.54943000e+00, 6.42537000e+00, 5.63549000e+00, 5.89372000e+00,\n", - " 8.96210000e-01, 1.01773000e+00, 1.97470000e-01, 5.31650000e-01,\n", - " 1.09368000e+00, 2.09622000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.50836700e+01, 2.19343600e+01, 4.76206500e+01, 1.24558000e+00,\n", - " 1.36710000e+00, 7.44310000e-01, 1.67090000e-01, 1.82280000e-01,\n", - " 4.55700000e-01, 3.94940000e-01, 2.44559000e+00, 2.23293000e+00,\n", - " 2.09622000e+00, 6.07600000e-01, 1.57368400e+01, 2.88154300e+01,\n", - " 4.40510000e-01, 3.79750000e-01, 1.01773000e+00, 4.10130000e-01,\n", - " 4.55700000e-01, 1.07849000e+00, 2.03546000e+00, 7.29120000e-01,\n", - " 1.03292000e+00, 1.06330000e+00, 1.36710000e-01, 2.59749000e+00,\n", - " 3.34180000e-01, 8.05070000e-01, 9.56970000e-01, 2.47597000e+00,\n", - " 1.92913000e+00, 1.67090000e-01, 2.87091000e+00, 8.65830000e-01,\n", - " 6.22790000e-01, 6.83550000e-01, 1.61014000e+00, 8.20260000e-01,\n", - " 1.77723000e+00, 9.11400000e-02, 8.35450000e-01, 5.16460000e-01,\n", - " 7.29120000e-01, 2.58230000e-01, 2.97572100e+01, 7.59500000e-01,\n", - " 6.68360000e-01, 3.03800000e+01, 1.09368000e+00, 1.97470000e-01,\n", - " 0.00000000e+00, 1.97470000e-01, 9.11400000e-02, 7.59500000e-01,\n", - " 1.04811000e+00, 2.12660000e-01, 8.05070000e-01, 1.00254000e+01,\n", - " 6.39499000e+00, 7.73171000e+00, 2.69774400e+01, 2.34229800e+01,\n", - " 6.37980000e-01, 3.64560000e-01, 6.13676000e+00, 3.94940000e+00,\n", - " 1.33520100e+01, 9.47856000e+00, 1.36710000e-01, 3.34180000e+00,\n", - " 9.56970000e-01, 1.35646700e+01, 7.59500000e-02, 1.06330000e-01,\n", - " 1.67090000e-01, 7.59500000e-02, 4.78485000e+00, 3.78231000e+00,\n", - " 3.79750000e+00, 1.19241500e+01, 6.22790000e-01, 1.51900000e-01,\n", - " 5.93929000e+00, 1.97470000e-01, 6.22790000e-01, 9.58489000e+00,\n", - " 6.53170000e-01, 6.07600000e-01, 5.77220000e-01, 6.68360000e-01,\n", - " 3.49370000e-01, 7.76209000e+00, 4.40510000e+00, 1.36710000e+00,\n", - " 2.08103000e+00, 7.29120000e-01, 1.36710000e-01, 3.88864000e+00,\n", - " 2.43040000e+00, 5.54435000e+00, 5.46840000e-01, 9.72160000e-01,\n", - " 3.49370000e-01, 5.62030000e-01, 1.13925000e+00, 4.35953000e+00,\n", - " 1.23039000e+00, 4.48105000e+00, 1.71647000e+00, 6.37980000e-01,\n", - " 1.33672000e+00, 2.29369000e+00, 3.82788000e+00, 1.04507200e+01,\n", - " 1.16963000e+00, 5.54435000e+00, 5.16460000e-01, 5.01270000e-01,\n", - " 1.36710000e+00, 2.77977000e+00, 1.06330000e+00, 3.15952000e+00,\n", - " 2.12660000e-01, 7.13930000e-01, 3.94940000e+00, 2.06584000e+00,\n", - " 2.58230000e-01, 4.70890000e-01, 1.65571000e+00, 9.56970000e-01,\n", - " 1.80761000e+00, 1.21520000e+00, 1.67090000e-01, 5.31650000e-01,\n", - " 1.21520000e-01, 1.51900000e-02, 6.16714000e+00, 8.24817000e+00,\n", - " 3.94940000e-01, 2.88610000e-01, 1.82431900e+01, 8.23298000e+00,\n", - " 1.56457000e+00, 6.16714000e+00, 9.56970000e-01, 3.22028000e+00,\n", - " 4.25320000e-01, 3.79750000e-01, 4.29877000e+00, 5.16460000e-01,\n", - " 1.97470000e-01, 2.99243000e+00, 1.68609000e+00, 7.89880000e-01,\n", - " 6.95702000e+00, 2.43040000e-01, 5.62030000e-01, 2.88610000e-01,\n", - " 4.10130000e-01, 1.51900000e-01, 9.49375000e+00, 4.95194000e+00,\n", - " 5.62030000e-01, 2.58230000e-01, 4.04054000e+00, 4.25320000e-01,\n", - " 2.02027000e+00, 1.51900000e-02, 1.86837000e+00, 2.40002000e+00,\n", - " 6.83550000e-01, 2.26331000e+00, 3.79750000e-01, 1.20760500e+01,\n", - " 5.16460000e-01, 5.01270000e-01, 4.70890000e-01, 1.73773600e+01,\n", - " 5.31650000e-01, 1.26077000e+00, 1.36710000e-01, 7.59500000e-02,\n", - " 4.20763000e+00, 1.50381000e+00, 1.21520000e-01, 0.00000000e+00,\n", - " 5.34688000e+00, 2.76458000e+00, 7.95956000e+00, 3.46332000e+00,\n", - " 9.11400000e-02, 6.07600000e-02, 4.55700000e-01, 2.06584000e+00,\n", - " 2.44559000e+00, 3.79750000e-01, 0.00000000e+00, 1.36710000e-01,\n", - " 1.42786000e+00, 2.73420000e-01, 4.86080000e-01, 8.05070000e-01,\n", - " 5.33169000e+00, 3.49370000e+00, 1.06330000e-01, 3.64560000e-01,\n", - " 1.97470000e-01, 1.51900000e-01, 1.51900000e-01, 4.55700000e-01,\n", - " 4.55700000e-01, 5.84815000e+00, 5.57473000e+00, 4.25320000e-01,\n", - " 5.92410000e-01, 2.27850000e-01, 1.67090000e-01, 5.01270000e-01,\n", - " 1.51900000e-01, 1.51900000e-01, 1.03292000e+00, 7.89880000e-01,\n", - " 1.07849000e+00, 1.35191000e+00, 1.15292100e+01, 2.36964000e+00,\n", - " 2.09622000e+00, 2.18736000e+00, 4.08611000e+00, 3.03800000e-01,\n", - " 1.97470000e+00, 5.63549000e+00, 3.94940000e-01, 1.60406400e+01,\n", - " 1.20152900e+01, 7.36715000e+00, 8.20260000e-01, 2.27850000e-01,\n", - " 1.34431500e+01, 3.40256000e+00, 5.66587000e+00, 1.24558000e+00,\n", - " 2.88610000e-01, 4.64814000e+00, 3.73674000e+00, 1.51900000e-01,\n", - " 6.07600000e-02, 4.55700000e-02, 1.36710000e+00, 6.07600000e-02,\n", - " 6.33423000e+00, 1.35798600e+01, 6.07600000e-01, 1.24558000e+00,\n", - " 2.79496000e+00, 7.59500000e-02, 3.49370000e-01, 4.10130000e+00,\n", - " 4.40510000e-01, 7.29120000e-01, 1.56457000e+00, 8.52159000e+00,\n", - " 4.69371000e+00, 9.72160000e-01, 1.53419000e+00, 2.03546000e+00,\n", - " 2.27850000e-01, 1.03292000e+00, 1.30634000e+00, 5.46840000e-01,\n", - " 7.59500000e-02, 8.20260000e-01, 3.94940000e-01, 3.79750000e-01,\n", - " 8.65830000e-01, 1.07849000e+00, 1.59495000e+00, 4.25320000e-01,\n", - " 4.55700000e-02, 5.77220000e-01, 7.33677000e+00, 4.10130000e-01,\n", - " 3.58484000e+00, 3.64560000e-01, 1.30634000e+00, 7.44310000e+00,\n", - " 1.16811100e+01, 2.61268000e+00, 4.98232000e+00, 5.77220000e-01,\n", - " 5.31650000e-01, 3.79750000e-01, 2.77977000e+00, 4.55700000e-01,\n", - " 4.86080000e-01, 2.73420000e-01, 7.59500000e-01, 7.29120000e-01,\n", - " 7.74690000e+00, 2.23293000e+00, 8.81020000e-01, 1.51900000e-02,\n", - " 7.44310000e-01, 2.81015000e+00, 3.23547000e+00, 3.03800000e+00,\n", - " 2.88610000e-01, 1.12406000e+00, 2.12660000e+00, 3.79750000e-01,\n", - " 9.56970000e-01, 5.77220000e-01, 2.58230000e-01, 4.25320000e-01,\n", - " 9.26590000e-01, 7.13930000e-01, 6.22790000e-01, 1.21520000e-01,\n", - " 4.57219000e+00, 5.81777000e+00, 2.27850000e-01, 2.43040000e-01,\n", - " 5.31650000e-01, 1.69824200e+01, 9.18995000e+00, 1.97470000e-01,\n", - " 6.48613000e+00, 3.37218000e+00, 1.51900000e-02, 6.53170000e-01,\n", - " 3.64560000e-01, 3.09876000e+00, 4.55700000e+00, 6.25828000e+00,\n", - " 4.25320000e-01, 1.21671900e+01, 2.08103000e+00, 8.81020000e+00,\n", - " 1.13925000e+00, 1.59495000e+00, 6.78993000e+00, 5.13422000e+00,\n", - " 2.11141000e+00, 2.41521000e+00, 0.00000000e+00, 1.51900000e+00,\n", - " 1.35191000e+00, 1.82280000e-01, 9.11400000e-02, 1.67090000e-01,\n", - " 2.58230000e-01, 4.86080000e-01, 1.00254000e+00, 6.83550000e-01,\n", - " 5.77220000e-01, 2.71901000e+00, 2.96205000e+00, 6.07600000e-02,\n", - " 5.92410000e-01, 8.20260000e-01, 3.64560000e-01, 5.62030000e-01,\n", - " 3.03800000e-01, 9.87350000e-01, 2.53673000e+00, 3.64560000e-01,\n", - " 2.88610000e-01, 1.66482400e+01, 6.53170000e-01, 5.62030000e-01,\n", - " 4.86080000e-01, 3.11395000e+00, 7.13930000e-01, 2.58230000e-01,\n", - " 2.18736000e+00, 5.77220000e-01, 4.02535000e+00, 1.06330000e+00,\n", - " 9.09881000e+00, 6.57727000e+00, 6.22790000e+00, 5.62030000e-01,\n", - " 6.07600000e-02, 7.13930000e-01, 1.67090000e-01, 4.10130000e-01,\n", - " 8.44564000e+00, 4.40510000e-01, 4.55700000e-02, 2.43040000e-01,\n", - " 5.65068000e+00, 1.42786000e+00, 3.34180000e-01, 1.15444000e+00,\n", - " 5.58992000e+00, 1.01469200e+01, 1.85925600e+01, 2.15698000e+00,\n", - " 9.78236000e+00, 1.31393500e+01, 1.13925000e+00, 5.92410000e-01,\n", - " 1.59495000e+00, 2.22989200e+01, 1.19089600e+01, 6.07600000e-02,\n", - " 6.83550000e-01, 1.00254000e+00, 4.25320000e-01, 1.94432000e+00,\n", - " 8.81020000e-01, 1.51900000e+00, 1.68609000e+00, 8.97729000e+00,\n", - " 2.11141000e+00, 1.21520000e-01, 2.55192000e+00, 4.02535000e+00,\n", - " 2.41521000e+00, 2.11141000e+00, 1.36710000e-01, 1.16963000e+00,\n", - " 7.13930000e-01, 2.58230000e-01, 1.36710000e-01, 1.12254100e+01,\n", - " 8.20260000e-01, 3.18990000e-01, 1.06330000e+00, 2.03546000e+00,\n", - " 1.20152900e+01, 6.71398000e+00, 1.04811000e+00, 1.45824000e+00,\n", - " 5.89372000e+00, 8.35450000e-01, 1.42786000e+00, 4.55700000e+00,\n", - " 3.85826000e+00, 5.62030000e-01, 7.00259000e+00, 6.37980000e-01,\n", - " 1.39444200e+01, 7.44310000e-01, 2.23293000e+00, 1.06330000e-01,\n", - " 7.59500000e-02, 1.97470000e-01, 1.15444000e+00, 7.74690000e-01,\n", - " 1.24558000e+00, 6.83550000e-01, 5.31650000e-01, 6.53170000e-01,\n", - " 2.29369000e+00, 7.89880000e-01, 3.18990000e-01, 3.03800000e+00,\n", - " 2.58230000e-01, 9.75198000e+00, 2.35445000e+00, 2.40002000e+00,\n", - " 5.62030000e-01, 8.81020000e-01, 3.34180000e-01, 1.08456600e+01,\n", - " 4.25320000e-01, 1.97470000e-01, 2.26331000e+00, 2.01115600e+01,\n", - " 3.03800000e-01, 4.86080000e-01, 6.07600000e-02, 9.29628000e+00,\n", - " 1.51900000e-01, 2.09622000e+00, 3.03800000e-01, 8.36969000e+00,\n", - " 3.40256000e+00, 1.36710000e-01, 3.03800000e-02, 5.62030000e+00,\n", - " 1.06330000e-01, 9.26590000e-01, 3.09876000e+00, 8.20260000e-01,\n", - " 3.75193000e+00, 1.26077000e+00, 2.67344000e+00, 4.25320000e-01,\n", - " 7.89880000e-01, 1.36710000e-01, 1.15595900e+01, 1.18482000e+01,\n", - " 2.56711000e+00, 6.30385000e+00, 1.29418800e+01, 5.01270000e-01,\n", - " 7.59500000e-02, 2.58230000e-01, 5.31650000e-01, 6.83550000e-01,\n", - " 2.27850000e-01, 9.11400000e-02, 5.01270000e-01, 1.21520000e+00,\n", - " 1.68609000e+00, 5.01270000e-01, 2.73420000e-01, 2.58230000e-01,\n", - " 3.49370000e-01, 4.55700000e-02, 1.12406000e+00, 5.77220000e-01,\n", - " 2.73420000e-01, 1.41267000e+00, 1.21520000e-01, 2.17217000e+00,\n", - " 3.70636000e+00, 1.35191000e+00, 3.52408000e+00, 6.39499000e+00,\n", - " 2.02027000e+00, 9.72160000e+00, 1.06330000e+00, 1.86837000e+00,\n", - " 3.64560000e+00, 1.47343000e+00, 6.98740000e-01, 8.81020000e-01,\n", - " 3.94940000e-01, 5.01270000e-01, 1.51900000e-02, 5.62030000e-01,\n", - " 2.58230000e-01, 1.36710000e-01, 6.22790000e-01, 2.84053000e+00,\n", - " 6.68360000e-01, 5.46840000e-01, 2.27850000e-01, 9.87350000e-01,\n", - " 6.50132000e+00, 2.74939000e+00, 7.44310000e-01, 1.80761000e+00,\n", - " 5.31650000e-01, 1.33672000e+01, 9.41780000e-01, 4.54181000e+00,\n", - " 9.11400000e-01, 1.15444000e+00, 4.70890000e-01, 1.33672000e+00,\n", - " 6.98740000e-01, 5.01270000e-01, 1.70128000e+00, 9.11400000e-02,\n", - " 2.73420000e-01, 7.13930000e-01, 5.31650000e-01, 6.98740000e-01,\n", - " 1.97470000e-01, 1.01773000e+00, 6.07600000e+00, 1.74685000e+00,\n", - " 2.74939000e+00, 1.65571000e+00, 9.56970000e-01, 2.09622000e+00,\n", - " 7.00259000e+00, 5.33169000e+00, 3.94940000e-01, 1.57976000e+00,\n", - " 8.05070000e-01, 1.04811000e+00, 2.36964000e+00, 4.51143000e+00,\n", - " 4.55700000e-02, 7.59500000e-02, 5.36207000e+00, 5.52916000e+00,\n", - " 8.50640000e-01, 1.06330000e-01, 5.92410000e-01, 3.94940000e-01,\n", - " 4.55700000e-02, 1.06330000e-01, 4.55700000e-01, 5.31650000e-01,\n", - " 6.03043000e+00, 2.91648000e+00, 3.18990000e-01, 8.96210000e-01,\n", - " 6.25828000e+00, 3.64560000e-01, 1.13621200e+01, 5.46840000e-01,\n", - " 8.18741000e+00, 7.44310000e-01, 3.23547000e+00, 6.07600000e-02,\n", - " 1.97470000e-01, 5.16460000e-01, 2.12660000e-01, 3.44813000e+00,\n", - " 2.09622000e+00, 1.65571000e+00, 2.43040000e-01, 6.53170000e-01,\n", - " 4.55700000e-02, 2.79496000e+00, 7.74690000e-01, 9.11400000e-02,\n", - " 1.27596000e+00, 4.45067000e+00, 1.57976000e+00, 1.51900000e-02,\n", - " 6.59246000e+00, 4.55700000e-01, 4.64814000e+00, 7.59500000e-02,\n", - " 4.55700000e-02, 5.92410000e-01, 2.76458000e+00, 4.25320000e-01,\n", - " 1.15444000e+00, 2.68863000e+00, 1.36710000e-01, 1.82280000e-01,\n", - " 9.60008000e+00, 6.07600000e-02, 6.07600000e-02, 4.86080000e-01,\n", - " 5.62030000e-01, 4.86080000e-01, 1.67090000e-01, 8.20260000e-01,\n", - " 6.98740000e-01, 9.72160000e-01, 7.29120000e-01, 2.09622000e+00,\n", - " 3.78231000e+00, 2.88610000e-01, 1.51900000e-01, 3.94940000e-01,\n", - " 6.53170000e-01, 6.68360000e-01, 2.18736000e+00, 2.58230000e-01,\n", - " 1.36710000e-01, 7.44310000e-01, 3.87345000e+00, 1.26077000e+00,\n", - " 7.13930000e-01, 2.69166800e+01, 3.03800000e-02, 3.34180000e-01,\n", - " 3.18990000e-01, 9.11400000e-02, 1.06330000e-01, 1.36710000e-01,\n", - " 1.21520000e-01, 8.81020000e-01, 2.12660000e-01, 2.82534000e+00,\n", - " 1.46127800e+01, 8.35450000e-01, 2.88610000e-01, 9.87350000e-01,\n", - " 5.27093000e+00, 4.10130000e-01, 2.58230000e-01, 1.13925000e+00,\n", - " 2.27850000e-01, 1.32153000e+00, 2.24812000e+00, 1.83799000e+00,\n", - " 1.67090000e-01, 8.50640000e-01, 5.92410000e-01, 4.40510000e-01,\n", - " 7.13930000e-01, 3.97978000e+00, 8.50640000e-01, 1.38229000e+00,\n", - " 2.24812000e+00, 2.73420000e+00, 2.12660000e-01, 6.07600000e-01,\n", - " 2.52154000e+00, 2.30888000e+00, 8.23298000e+00, 1.97470000e-01,\n", - " 3.02281000e+00, 3.64560000e-01, 8.96210000e-01, 1.26077000e+00,\n", - " 3.03800000e-01, 1.26077000e+00, 4.55700000e-01, 3.79750000e-01,\n", - " 1.06330000e+00, 1.20001000e+00, 2.73420000e-01, 1.21520000e-01,\n", - " 9.72160000e-01, 1.71647000e+00, 1.07849000e+00, 7.13930000e-01,\n", - " 4.10130000e-01, 4.55700000e-02, 1.73166000e+00, 4.87599000e+00,\n", - " 6.53170000e-01, 3.34180000e-01, 1.51900000e-02, 1.00254000e+00,\n", - " 7.13930000e-01, 2.27850000e-01, 2.73420000e-01, 1.20001000e+00,\n", - " 3.64560000e-01, 7.77728000e+00, 7.13930000e-01, 2.73420000e-01,\n", - " 0.00000000e+00, 1.54938000e+00, 3.64560000e-01, 4.86080000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.04361749e+03, -2.52731782e+03, -2.84381237e+01, -8.99792018e+01,\n", - " -1.66289729e+01, 0.00000000e+00, -1.16261360e+02, -5.45583471e+02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 1.13900000e+00, 5.32100000e+00, 1.03870000e+01, 7.36100000e+00,\n", - " 3.91000000e-01, 7.14000000e-01, 4.76000000e-01, 1.00300000e+00,\n", - " 1.64900000e+00, 2.55000000e-01, 1.00300000e+00, 7.99000000e-01,\n", - " 1.78840000e+01, 6.80000000e-02, 2.38000000e-01, 1.53000000e-01,\n", - " 8.92500000e+00, 6.42600000e+00, 9.69000000e-01, 1.51300000e+00,\n", - " 3.57000000e-01, 1.87000000e-01, 1.02000000e-01, 0.00000000e+00,\n", - " 3.40000000e-01, 1.12200000e+00, 8.50000000e-02, 6.54500000e+00,\n", - " 1.27500000e+00, 5.25300000e+00, 2.78800000e+00, 2.12500000e+00,\n", - " 2.34600000e+00, 1.02000000e-01, 0.00000000e+00, 1.19000000e-01,\n", - " 1.32600000e+00, 6.12000000e-01, 3.06000000e-01, 2.21000000e-01,\n", - " 7.65000000e-01, 7.14000000e-01, 1.92100000e+00, 4.04600000e+00,\n", - " 6.46000000e-01, 6.71500000e+00, 2.12500000e+00, 8.55100000e+00,\n", - " 1.07100000e+00, 2.98860000e+01, 1.87000000e-01, 2.38000000e-01,\n", - " 7.82000000e-01, 5.61000000e-01, 1.25800000e+00, 3.06000000e-01,\n", - " 1.12200000e+00, 8.94200000e+00, 1.55210000e+01, 4.16500000e+00,\n", - " 2.90700000e+00, 2.55000000e+00, 1.02000000e+00, 4.35200000e+00,\n", - " 5.27000000e-01, 4.25000000e-01, 4.14800000e+00, 3.53600000e+00,\n", - " 1.70000000e-01, 0.00000000e+00, 7.82000000e-01, 7.99000000e-01,\n", - " 6.80000000e-02, 1.87000000e-01, 1.42800000e+00, 2.92400000e+00,\n", - " 1.73400000e+00, 5.61000000e-01, 5.78000000e-01, 4.28400000e+00,\n", - " 9.96200000e+00, 8.85700000e+00, 1.93800000e+00, 3.12800000e+00,\n", - " 3.65500000e+00, 4.08000000e+00, 4.59000000e-01, 9.52000000e-01,\n", - " 1.70000000e-01, 2.04000000e-01, 3.06000000e-01, 0.00000000e+00,\n", - " 8.50000000e-02, 2.38000000e-01, 3.45100000e+00, 9.01000000e-01,\n", - " 1.02000000e-01, 0.00000000e+00, 2.55000000e-01, 2.77100000e+00,\n", - " 2.21000000e+00, 7.88800000e+00, 1.03360000e+01, 1.92100000e+00,\n", - " 3.06000000e-01, 1.53000000e-01, 7.99000000e-01, 1.53000000e-01,\n", - " 4.57300000e+00, 3.55300000e+00, 1.08800000e+00, 8.84000000e-01,\n", - " 9.26500000e+00, 1.87000000e+00, 0.00000000e+00, 4.47100000e+00,\n", - " 2.94100000e+00, 1.45180000e+01, 2.34600000e+00, 6.95300000e+00,\n", - " 1.44500000e+00, 1.97200000e+00, 5.38900000e+00, 9.04400000e+00,\n", - " 8.09200000e+00, 1.62010000e+01, 2.41400000e+00, 1.03700000e+00,\n", - " 6.88500000e+00, 8.53400000e+00, 2.90700000e+00, 1.59800000e+00,\n", - " 3.40000000e-01, 1.36000000e+00, 2.53300000e+00, 1.76800000e+00,\n", - " 1.49600000e+00, 4.42000000e+00, 1.25800000e+00, 4.25000000e-01,\n", - " 8.44900000e+00, 7.19100000e+00, 6.30700000e+00, 6.59600000e+00,\n", - " 1.00300000e+00, 1.13900000e+00, 2.21000000e-01, 5.95000000e-01,\n", - " 1.22400000e+00, 2.34600000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.68810000e+01, 2.45480000e+01, 5.32950000e+01, 1.39400000e+00,\n", - " 1.53000000e+00, 8.33000000e-01, 1.87000000e-01, 2.04000000e-01,\n", - " 5.10000000e-01, 4.42000000e-01, 2.73700000e+00, 2.49900000e+00,\n", - " 2.34600000e+00, 6.80000000e-01, 1.76120000e+01, 3.22490000e+01,\n", - " 4.93000000e-01, 4.25000000e-01, 1.13900000e+00, 4.59000000e-01,\n", - " 5.10000000e-01, 1.20700000e+00, 2.27800000e+00, 8.16000000e-01,\n", - " 1.15600000e+00, 1.19000000e+00, 1.53000000e-01, 2.90700000e+00,\n", - " 3.74000000e-01, 9.01000000e-01, 1.07100000e+00, 2.77100000e+00,\n", - " 2.15900000e+00, 1.87000000e-01, 3.21300000e+00, 9.69000000e-01,\n", - " 6.97000000e-01, 7.65000000e-01, 1.80200000e+00, 9.18000000e-01,\n", - " 1.98900000e+00, 1.02000000e-01, 9.35000000e-01, 5.78000000e-01,\n", - " 8.16000000e-01, 2.89000000e-01, 3.33030000e+01, 8.50000000e-01,\n", - " 7.48000000e-01, 3.40000000e+01, 1.22400000e+00, 2.21000000e-01,\n", - " 0.00000000e+00, 2.21000000e-01, 1.02000000e-01, 8.50000000e-01,\n", - " 1.17300000e+00, 2.38000000e-01, 9.01000000e-01, 1.12200000e+01,\n", - " 7.15700000e+00, 8.65300000e+00, 3.01920000e+01, 2.62140000e+01,\n", - " 7.14000000e-01, 4.08000000e-01, 6.86800000e+00, 4.42000000e+00,\n", - " 1.49430000e+01, 1.06080000e+01, 1.53000000e-01, 3.74000000e+00,\n", - " 1.07100000e+00, 1.51810000e+01, 8.50000000e-02, 1.19000000e-01,\n", - " 1.87000000e-01, 8.50000000e-02, 5.35500000e+00, 4.23300000e+00,\n", - " 4.25000000e+00, 1.33450000e+01, 6.97000000e-01, 1.70000000e-01,\n", - " 6.64700000e+00, 2.21000000e-01, 6.97000000e-01, 1.07270000e+01,\n", - " 7.31000000e-01, 6.80000000e-01, 6.46000000e-01, 7.48000000e-01,\n", - " 3.91000000e-01, 8.68700000e+00, 4.93000000e+00, 1.53000000e+00,\n", - " 2.32900000e+00, 8.16000000e-01, 1.53000000e-01, 4.35200000e+00,\n", - " 2.72000000e+00, 6.20500000e+00, 6.12000000e-01, 1.08800000e+00,\n", - " 3.91000000e-01, 6.29000000e-01, 1.27500000e+00, 4.87900000e+00,\n", - " 1.37700000e+00, 5.01500000e+00, 1.92100000e+00, 7.14000000e-01,\n", - " 1.49600000e+00, 2.56700000e+00, 4.28400000e+00, 1.16960000e+01,\n", - " 1.30900000e+00, 6.20500000e+00, 5.78000000e-01, 5.61000000e-01,\n", - " 1.53000000e+00, 3.11100000e+00, 1.19000000e+00, 3.53600000e+00,\n", - " 2.38000000e-01, 7.99000000e-01, 4.42000000e+00, 2.31200000e+00,\n", - " 2.89000000e-01, 5.27000000e-01, 1.85300000e+00, 1.07100000e+00,\n", - " 2.02300000e+00, 1.36000000e+00, 1.87000000e-01, 5.95000000e-01,\n", - " 1.36000000e-01, 1.70000000e-02, 6.90200000e+00, 9.23100000e+00,\n", - " 4.42000000e-01, 3.23000000e-01, 2.04170000e+01, 9.21400000e+00,\n", - " 1.75100000e+00, 6.90200000e+00, 1.07100000e+00, 3.60400000e+00,\n", - " 4.76000000e-01, 4.25000000e-01, 4.81100000e+00, 5.78000000e-01,\n", - " 2.21000000e-01, 3.34900000e+00, 1.88700000e+00, 8.84000000e-01,\n", - " 7.78600000e+00, 2.72000000e-01, 6.29000000e-01, 3.23000000e-01,\n", - " 4.59000000e-01, 1.70000000e-01, 1.06250000e+01, 5.54200000e+00,\n", - " 6.29000000e-01, 2.89000000e-01, 4.52200000e+00, 4.76000000e-01,\n", - " 2.26100000e+00, 1.70000000e-02, 2.09100000e+00, 2.68600000e+00,\n", - " 7.65000000e-01, 2.53300000e+00, 4.25000000e-01, 1.35150000e+01,\n", - " 5.78000000e-01, 5.61000000e-01, 5.27000000e-01, 1.94480000e+01,\n", - " 5.95000000e-01, 1.41100000e+00, 1.53000000e-01, 8.50000000e-02,\n", - " 4.70900000e+00, 1.68300000e+00, 1.36000000e-01, 0.00000000e+00,\n", - " 5.98400000e+00, 3.09400000e+00, 8.90800000e+00, 3.87600000e+00,\n", - " 1.02000000e-01, 6.80000000e-02, 5.10000000e-01, 2.31200000e+00,\n", - " 2.73700000e+00, 4.25000000e-01, 0.00000000e+00, 1.53000000e-01,\n", - " 1.59800000e+00, 3.06000000e-01, 5.44000000e-01, 9.01000000e-01,\n", - " 5.96700000e+00, 3.91000000e+00, 1.19000000e-01, 4.08000000e-01,\n", - " 2.21000000e-01, 1.70000000e-01, 1.70000000e-01, 5.10000000e-01,\n", - " 5.10000000e-01, 6.54500000e+00, 6.23900000e+00, 4.76000000e-01,\n", - " 6.63000000e-01, 2.55000000e-01, 1.87000000e-01, 5.61000000e-01,\n", - " 1.70000000e-01, 1.70000000e-01, 1.15600000e+00, 8.84000000e-01,\n", - " 1.20700000e+00, 1.51300000e+00, 1.29030000e+01, 2.65200000e+00,\n", - " 2.34600000e+00, 2.44800000e+00, 4.57300000e+00, 3.40000000e-01,\n", - " 2.21000000e+00, 6.30700000e+00, 4.42000000e-01, 1.79520000e+01,\n", - " 1.34470000e+01, 8.24500000e+00, 9.18000000e-01, 2.55000000e-01,\n", - " 1.50450000e+01, 3.80800000e+00, 6.34100000e+00, 1.39400000e+00,\n", - " 3.23000000e-01, 5.20200000e+00, 4.18200000e+00, 1.70000000e-01,\n", - " 6.80000000e-02, 5.10000000e-02, 1.53000000e+00, 6.80000000e-02,\n", - " 7.08900000e+00, 1.51980000e+01, 6.80000000e-01, 1.39400000e+00,\n", - " 3.12800000e+00, 8.50000000e-02, 3.91000000e-01, 4.59000000e+00,\n", - " 4.93000000e-01, 8.16000000e-01, 1.75100000e+00, 9.53700000e+00,\n", - " 5.25300000e+00, 1.08800000e+00, 1.71700000e+00, 2.27800000e+00,\n", - " 2.55000000e-01, 1.15600000e+00, 1.46200000e+00, 6.12000000e-01,\n", - " 8.50000000e-02, 9.18000000e-01, 4.42000000e-01, 4.25000000e-01,\n", - " 9.69000000e-01, 1.20700000e+00, 1.78500000e+00, 4.76000000e-01,\n", - " 5.10000000e-02, 6.46000000e-01, 8.21100000e+00, 4.59000000e-01,\n", - " 4.01200000e+00, 4.08000000e-01, 1.46200000e+00, 8.33000000e+00,\n", - " 1.30730000e+01, 2.92400000e+00, 5.57600000e+00, 6.46000000e-01,\n", - " 5.95000000e-01, 4.25000000e-01, 3.11100000e+00, 5.10000000e-01,\n", - " 5.44000000e-01, 3.06000000e-01, 8.50000000e-01, 8.16000000e-01,\n", - " 8.67000000e+00, 2.49900000e+00, 9.86000000e-01, 1.70000000e-02,\n", - " 8.33000000e-01, 3.14500000e+00, 3.62100000e+00, 3.40000000e+00,\n", - " 3.23000000e-01, 1.25800000e+00, 2.38000000e+00, 4.25000000e-01,\n", - " 1.07100000e+00, 6.46000000e-01, 2.89000000e-01, 4.76000000e-01,\n", - " 1.03700000e+00, 7.99000000e-01, 6.97000000e-01, 1.36000000e-01,\n", - " 5.11700000e+00, 6.51100000e+00, 2.55000000e-01, 2.72000000e-01,\n", - " 5.95000000e-01, 1.90060000e+01, 1.02850000e+01, 2.21000000e-01,\n", - " 7.25900000e+00, 3.77400000e+00, 1.70000000e-02, 7.31000000e-01,\n", - " 4.08000000e-01, 3.46800000e+00, 5.10000000e+00, 7.00400000e+00,\n", - " 4.76000000e-01, 1.36170000e+01, 2.32900000e+00, 9.86000000e+00,\n", - " 1.27500000e+00, 1.78500000e+00, 7.59900000e+00, 5.74600000e+00,\n", - " 2.36300000e+00, 2.70300000e+00, 0.00000000e+00, 1.70000000e+00,\n", - " 1.51300000e+00, 2.04000000e-01, 1.02000000e-01, 1.87000000e-01,\n", - " 2.89000000e-01, 5.44000000e-01, 1.12200000e+00, 7.65000000e-01,\n", - " 6.46000000e-01, 3.04300000e+00, 3.31500000e+00, 6.80000000e-02,\n", - " 6.63000000e-01, 9.18000000e-01, 4.08000000e-01, 6.29000000e-01,\n", - " 3.40000000e-01, 1.10500000e+00, 2.83900000e+00, 4.08000000e-01,\n", - " 3.23000000e-01, 1.86320000e+01, 7.31000000e-01, 6.29000000e-01,\n", - " 5.44000000e-01, 3.48500000e+00, 7.99000000e-01, 2.89000000e-01,\n", - " 2.44800000e+00, 6.46000000e-01, 4.50500000e+00, 1.19000000e+00,\n", - " 1.01830000e+01, 7.36100000e+00, 6.97000000e+00, 6.29000000e-01,\n", - " 6.80000000e-02, 7.99000000e-01, 1.87000000e-01, 4.59000000e-01,\n", - " 9.45200000e+00, 4.93000000e-01, 5.10000000e-02, 2.72000000e-01,\n", - " 6.32400000e+00, 1.59800000e+00, 3.74000000e-01, 1.29200000e+00,\n", - " 6.25600000e+00, 1.13560000e+01, 2.08080000e+01, 2.41400000e+00,\n", - " 1.09480000e+01, 1.47050000e+01, 1.27500000e+00, 6.63000000e-01,\n", - " 1.78500000e+00, 2.49560000e+01, 1.33280000e+01, 6.80000000e-02,\n", - " 7.65000000e-01, 1.12200000e+00, 4.76000000e-01, 2.17600000e+00,\n", - " 9.86000000e-01, 1.70000000e+00, 1.88700000e+00, 1.00470000e+01,\n", - " 2.36300000e+00, 1.36000000e-01, 2.85600000e+00, 4.50500000e+00,\n", - " 2.70300000e+00, 2.36300000e+00, 1.53000000e-01, 1.30900000e+00,\n", - " 7.99000000e-01, 2.89000000e-01, 1.53000000e-01, 1.25630000e+01,\n", - " 9.18000000e-01, 3.57000000e-01, 1.19000000e+00, 2.27800000e+00,\n", - " 1.34470000e+01, 7.51400000e+00, 1.17300000e+00, 1.63200000e+00,\n", - " 6.59600000e+00, 9.35000000e-01, 1.59800000e+00, 5.10000000e+00,\n", - " 4.31800000e+00, 6.29000000e-01, 7.83700000e+00, 7.14000000e-01,\n", - " 1.56060000e+01, 8.33000000e-01, 2.49900000e+00, 1.19000000e-01,\n", - " 8.50000000e-02, 2.21000000e-01, 1.29200000e+00, 8.67000000e-01,\n", - " 1.39400000e+00, 7.65000000e-01, 5.95000000e-01, 7.31000000e-01,\n", - " 2.56700000e+00, 8.84000000e-01, 3.57000000e-01, 3.40000000e+00,\n", - " 2.89000000e-01, 1.09140000e+01, 2.63500000e+00, 2.68600000e+00,\n", - " 6.29000000e-01, 9.86000000e-01, 3.74000000e-01, 1.21380000e+01,\n", - " 4.76000000e-01, 2.21000000e-01, 2.53300000e+00, 2.25080000e+01,\n", - " 3.40000000e-01, 5.44000000e-01, 6.80000000e-02, 1.04040000e+01,\n", - " 1.70000000e-01, 2.34600000e+00, 3.40000000e-01, 9.36700000e+00,\n", - " 3.80800000e+00, 1.53000000e-01, 3.40000000e-02, 6.29000000e+00,\n", - " 1.19000000e-01, 1.03700000e+00, 3.46800000e+00, 9.18000000e-01,\n", - " 4.19900000e+00, 1.41100000e+00, 2.99200000e+00, 4.76000000e-01,\n", - " 8.84000000e-01, 1.53000000e-01, 1.29370000e+01, 1.32600000e+01,\n", - " 2.87300000e+00, 7.05500000e+00, 1.44840000e+01, 5.61000000e-01,\n", - " 8.50000000e-02, 2.89000000e-01, 5.95000000e-01, 7.65000000e-01,\n", - " 2.55000000e-01, 1.02000000e-01, 5.61000000e-01, 1.36000000e+00,\n", - " 1.88700000e+00, 5.61000000e-01, 3.06000000e-01, 2.89000000e-01,\n", - " 3.91000000e-01, 5.10000000e-02, 1.25800000e+00, 6.46000000e-01,\n", - " 3.06000000e-01, 1.58100000e+00, 1.36000000e-01, 2.43100000e+00,\n", - " 4.14800000e+00, 1.51300000e+00, 3.94400000e+00, 7.15700000e+00,\n", - " 2.26100000e+00, 1.08800000e+01, 1.19000000e+00, 2.09100000e+00,\n", - " 4.08000000e+00, 1.64900000e+00, 7.82000000e-01, 9.86000000e-01,\n", - " 4.42000000e-01, 5.61000000e-01, 1.70000000e-02, 6.29000000e-01,\n", - " 2.89000000e-01, 1.53000000e-01, 6.97000000e-01, 3.17900000e+00,\n", - " 7.48000000e-01, 6.12000000e-01, 2.55000000e-01, 1.10500000e+00,\n", - " 7.27600000e+00, 3.07700000e+00, 8.33000000e-01, 2.02300000e+00,\n", - " 5.95000000e-01, 1.49600000e+01, 1.05400000e+00, 5.08300000e+00,\n", - " 1.02000000e+00, 1.29200000e+00, 5.27000000e-01, 1.49600000e+00,\n", - " 7.82000000e-01, 5.61000000e-01, 1.90400000e+00, 1.02000000e-01,\n", - " 3.06000000e-01, 7.99000000e-01, 5.95000000e-01, 7.82000000e-01,\n", - " 2.21000000e-01, 1.13900000e+00, 6.80000000e+00, 1.95500000e+00,\n", - " 3.07700000e+00, 1.85300000e+00, 1.07100000e+00, 2.34600000e+00,\n", - " 7.83700000e+00, 5.96700000e+00, 4.42000000e-01, 1.76800000e+00,\n", - " 9.01000000e-01, 1.17300000e+00, 2.65200000e+00, 5.04900000e+00,\n", - " 5.10000000e-02, 8.50000000e-02, 6.00100000e+00, 6.18800000e+00,\n", - " 9.52000000e-01, 1.19000000e-01, 6.63000000e-01, 4.42000000e-01,\n", - " 5.10000000e-02, 1.19000000e-01, 5.10000000e-01, 5.95000000e-01,\n", - " 6.74900000e+00, 3.26400000e+00, 3.57000000e-01, 1.00300000e+00,\n", - " 7.00400000e+00, 4.08000000e-01, 1.27160000e+01, 6.12000000e-01,\n", - " 9.16300000e+00, 8.33000000e-01, 3.62100000e+00, 6.80000000e-02,\n", - " 2.21000000e-01, 5.78000000e-01, 2.38000000e-01, 3.85900000e+00,\n", - " 2.34600000e+00, 1.85300000e+00, 2.72000000e-01, 7.31000000e-01,\n", - " 5.10000000e-02, 3.12800000e+00, 8.67000000e-01, 1.02000000e-01,\n", - " 1.42800000e+00, 4.98100000e+00, 1.76800000e+00, 1.70000000e-02,\n", - " 7.37800000e+00, 5.10000000e-01, 5.20200000e+00, 8.50000000e-02,\n", - " 5.10000000e-02, 6.63000000e-01, 3.09400000e+00, 4.76000000e-01,\n", - " 1.29200000e+00, 3.00900000e+00, 1.53000000e-01, 2.04000000e-01,\n", - " 1.07440000e+01, 6.80000000e-02, 6.80000000e-02, 5.44000000e-01,\n", - " 6.29000000e-01, 5.44000000e-01, 1.87000000e-01, 9.18000000e-01,\n", - " 7.82000000e-01, 1.08800000e+00, 8.16000000e-01, 2.34600000e+00,\n", - " 4.23300000e+00, 3.23000000e-01, 1.70000000e-01, 4.42000000e-01,\n", - " 7.31000000e-01, 7.48000000e-01, 2.44800000e+00, 2.89000000e-01,\n", - " 1.53000000e-01, 8.33000000e-01, 4.33500000e+00, 1.41100000e+00,\n", - " 7.99000000e-01, 3.01240000e+01, 3.40000000e-02, 3.74000000e-01,\n", - " 3.57000000e-01, 1.02000000e-01, 1.19000000e-01, 1.53000000e-01,\n", - " 1.36000000e-01, 9.86000000e-01, 2.38000000e-01, 3.16200000e+00,\n", - " 1.63540000e+01, 9.35000000e-01, 3.23000000e-01, 1.10500000e+00,\n", - " 5.89900000e+00, 4.59000000e-01, 2.89000000e-01, 1.27500000e+00,\n", - " 2.55000000e-01, 1.47900000e+00, 2.51600000e+00, 2.05700000e+00,\n", - " 1.87000000e-01, 9.52000000e-01, 6.63000000e-01, 4.93000000e-01,\n", - " 7.99000000e-01, 4.45400000e+00, 9.52000000e-01, 1.54700000e+00,\n", - " 2.51600000e+00, 3.06000000e+00, 2.38000000e-01, 6.80000000e-01,\n", - " 2.82200000e+00, 2.58400000e+00, 9.21400000e+00, 2.21000000e-01,\n", - " 3.38300000e+00, 4.08000000e-01, 1.00300000e+00, 1.41100000e+00,\n", - " 3.40000000e-01, 1.41100000e+00, 5.10000000e-01, 4.25000000e-01,\n", - " 1.19000000e+00, 1.34300000e+00, 3.06000000e-01, 1.36000000e-01,\n", - " 1.08800000e+00, 1.92100000e+00, 1.20700000e+00, 7.99000000e-01,\n", - " 4.59000000e-01, 5.10000000e-02, 1.93800000e+00, 5.45700000e+00,\n", - " 7.31000000e-01, 3.74000000e-01, 1.70000000e-02, 1.12200000e+00,\n", - " 7.99000000e-01, 2.55000000e-01, 3.06000000e-01, 1.34300000e+00,\n", - " 4.08000000e-01, 8.70400000e+00, 7.99000000e-01, 3.06000000e-01,\n", - " 0.00000000e+00, 1.73400000e+00, 4.08000000e-01, 5.44000000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 9.45261154e+02, -2.52731782e+03, -4.59859977e+01, -9.58105155e+01,\n", - " -3.33473665e+01, 0.00000000e+00, -1.60817207e+02, -6.34322284e+02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 1.17250000e+00, 5.47750000e+00, 1.06925000e+01, 7.57750000e+00,\n", - " 4.02500000e-01, 7.35000000e-01, 4.90000000e-01, 1.03250000e+00,\n", - " 1.69750000e+00, 2.62500000e-01, 1.03250000e+00, 8.22500000e-01,\n", - " 1.84100000e+01, 7.00000000e-02, 2.45000000e-01, 1.57500000e-01,\n", - " 9.18750000e+00, 6.61500000e+00, 9.97500000e-01, 1.55750000e+00,\n", - " 3.67500000e-01, 1.92500000e-01, 1.05000000e-01, 0.00000000e+00,\n", - " 3.50000000e-01, 1.15500000e+00, 8.75000000e-02, 6.73750000e+00,\n", - " 1.31250000e+00, 5.40750000e+00, 2.87000000e+00, 2.18750000e+00,\n", - " 2.41500000e+00, 1.05000000e-01, 0.00000000e+00, 1.22500000e-01,\n", - " 1.36500000e+00, 6.30000000e-01, 3.15000000e-01, 2.27500000e-01,\n", - " 7.87500000e-01, 7.35000000e-01, 1.97750000e+00, 4.16500000e+00,\n", - " 6.65000000e-01, 6.91250000e+00, 2.18750000e+00, 8.80250000e+00,\n", - " 1.10250000e+00, 3.07650000e+01, 1.92500000e-01, 2.45000000e-01,\n", - " 8.05000000e-01, 5.77500000e-01, 1.29500000e+00, 3.15000000e-01,\n", - " 1.15500000e+00, 9.20500000e+00, 1.59775000e+01, 4.28750000e+00,\n", - " 2.99250000e+00, 2.62500000e+00, 1.05000000e+00, 4.48000000e+00,\n", - " 5.42500000e-01, 4.37500000e-01, 4.27000000e+00, 3.64000000e+00,\n", - " 1.75000000e-01, 0.00000000e+00, 8.05000000e-01, 8.22500000e-01,\n", - " 7.00000000e-02, 1.92500000e-01, 1.47000000e+00, 3.01000000e+00,\n", - " 1.78500000e+00, 5.77500000e-01, 5.95000000e-01, 4.41000000e+00,\n", - " 1.02550000e+01, 9.11750000e+00, 1.99500000e+00, 3.22000000e+00,\n", - " 3.76250000e+00, 4.20000000e+00, 4.72500000e-01, 9.80000000e-01,\n", - " 1.75000000e-01, 2.10000000e-01, 3.15000000e-01, 0.00000000e+00,\n", - " 8.75000000e-02, 2.45000000e-01, 3.55250000e+00, 9.27500000e-01,\n", - " 1.05000000e-01, 0.00000000e+00, 2.62500000e-01, 2.85250000e+00,\n", - " 2.27500000e+00, 8.12000000e+00, 1.06400000e+01, 1.97750000e+00,\n", - " 3.15000000e-01, 1.57500000e-01, 8.22500000e-01, 1.57500000e-01,\n", - " 4.70750000e+00, 3.65750000e+00, 1.12000000e+00, 9.10000000e-01,\n", - " 9.53750000e+00, 1.92500000e+00, 0.00000000e+00, 4.60250000e+00,\n", - " 3.02750000e+00, 1.49450000e+01, 2.41500000e+00, 7.15750000e+00,\n", - " 1.48750000e+00, 2.03000000e+00, 5.54750000e+00, 9.31000000e+00,\n", - " 8.33000000e+00, 1.66775000e+01, 2.48500000e+00, 1.06750000e+00,\n", - " 7.08750000e+00, 8.78500000e+00, 2.99250000e+00, 1.64500000e+00,\n", - " 3.50000000e-01, 1.40000000e+00, 2.60750000e+00, 1.82000000e+00,\n", - " 1.54000000e+00, 4.55000000e+00, 1.29500000e+00, 4.37500000e-01,\n", - " 8.69750000e+00, 7.40250000e+00, 6.49250000e+00, 6.79000000e+00,\n", - " 1.03250000e+00, 1.17250000e+00, 2.27500000e-01, 6.12500000e-01,\n", - " 1.26000000e+00, 2.41500000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.73775000e+01, 2.52700000e+01, 5.48625000e+01, 1.43500000e+00,\n", - " 1.57500000e+00, 8.57500000e-01, 1.92500000e-01, 2.10000000e-01,\n", - " 5.25000000e-01, 4.55000000e-01, 2.81750000e+00, 2.57250000e+00,\n", - " 2.41500000e+00, 7.00000000e-01, 1.81300000e+01, 3.31975000e+01,\n", - " 5.07500000e-01, 4.37500000e-01, 1.17250000e+00, 4.72500000e-01,\n", - " 5.25000000e-01, 1.24250000e+00, 2.34500000e+00, 8.40000000e-01,\n", - " 1.19000000e+00, 1.22500000e+00, 1.57500000e-01, 2.99250000e+00,\n", - " 3.85000000e-01, 9.27500000e-01, 1.10250000e+00, 2.85250000e+00,\n", - " 2.22250000e+00, 1.92500000e-01, 3.30750000e+00, 9.97500000e-01,\n", - " 7.17500000e-01, 7.87500000e-01, 1.85500000e+00, 9.45000000e-01,\n", - " 2.04750000e+00, 1.05000000e-01, 9.62500000e-01, 5.95000000e-01,\n", - " 8.40000000e-01, 2.97500000e-01, 3.42825000e+01, 8.75000000e-01,\n", - " 7.70000000e-01, 3.50000000e+01, 1.26000000e+00, 2.27500000e-01,\n", - " 0.00000000e+00, 2.27500000e-01, 1.05000000e-01, 8.75000000e-01,\n", - " 1.20750000e+00, 2.45000000e-01, 9.27500000e-01, 1.15500000e+01,\n", - " 7.36750000e+00, 8.90750000e+00, 3.10800000e+01, 2.69850000e+01,\n", - " 7.35000000e-01, 4.20000000e-01, 7.07000000e+00, 4.55000000e+00,\n", - " 1.53825000e+01, 1.09200000e+01, 1.57500000e-01, 3.85000000e+00,\n", - " 1.10250000e+00, 1.56275000e+01, 8.75000000e-02, 1.22500000e-01,\n", - " 1.92500000e-01, 8.75000000e-02, 5.51250000e+00, 4.35750000e+00,\n", - " 4.37500000e+00, 1.37375000e+01, 7.17500000e-01, 1.75000000e-01,\n", - " 6.84250000e+00, 2.27500000e-01, 7.17500000e-01, 1.10425000e+01,\n", - " 7.52500000e-01, 7.00000000e-01, 6.65000000e-01, 7.70000000e-01,\n", - " 4.02500000e-01, 8.94250000e+00, 5.07500000e+00, 1.57500000e+00,\n", - " 2.39750000e+00, 8.40000000e-01, 1.57500000e-01, 4.48000000e+00,\n", - " 2.80000000e+00, 6.38750000e+00, 6.30000000e-01, 1.12000000e+00,\n", - " 4.02500000e-01, 6.47500000e-01, 1.31250000e+00, 5.02250000e+00,\n", - " 1.41750000e+00, 5.16250000e+00, 1.97750000e+00, 7.35000000e-01,\n", - " 1.54000000e+00, 2.64250000e+00, 4.41000000e+00, 1.20400000e+01,\n", - " 1.34750000e+00, 6.38750000e+00, 5.95000000e-01, 5.77500000e-01,\n", - " 1.57500000e+00, 3.20250000e+00, 1.22500000e+00, 3.64000000e+00,\n", - " 2.45000000e-01, 8.22500000e-01, 4.55000000e+00, 2.38000000e+00,\n", - " 2.97500000e-01, 5.42500000e-01, 1.90750000e+00, 1.10250000e+00,\n", - " 2.08250000e+00, 1.40000000e+00, 1.92500000e-01, 6.12500000e-01,\n", - " 1.40000000e-01, 1.75000000e-02, 7.10500000e+00, 9.50250000e+00,\n", - " 4.55000000e-01, 3.32500000e-01, 2.10175000e+01, 9.48500000e+00,\n", - " 1.80250000e+00, 7.10500000e+00, 1.10250000e+00, 3.71000000e+00,\n", - " 4.90000000e-01, 4.37500000e-01, 4.95250000e+00, 5.95000000e-01,\n", - " 2.27500000e-01, 3.44750000e+00, 1.94250000e+00, 9.10000000e-01,\n", - " 8.01500000e+00, 2.80000000e-01, 6.47500000e-01, 3.32500000e-01,\n", - " 4.72500000e-01, 1.75000000e-01, 1.09375000e+01, 5.70500000e+00,\n", - " 6.47500000e-01, 2.97500000e-01, 4.65500000e+00, 4.90000000e-01,\n", - " 2.32750000e+00, 1.75000000e-02, 2.15250000e+00, 2.76500000e+00,\n", - " 7.87500000e-01, 2.60750000e+00, 4.37500000e-01, 1.39125000e+01,\n", - " 5.95000000e-01, 5.77500000e-01, 5.42500000e-01, 2.00200000e+01,\n", - " 6.12500000e-01, 1.45250000e+00, 1.57500000e-01, 8.75000000e-02,\n", - " 4.84750000e+00, 1.73250000e+00, 1.40000000e-01, 0.00000000e+00,\n", - " 6.16000000e+00, 3.18500000e+00, 9.17000000e+00, 3.99000000e+00,\n", - " 1.05000000e-01, 7.00000000e-02, 5.25000000e-01, 2.38000000e+00,\n", - " 2.81750000e+00, 4.37500000e-01, 0.00000000e+00, 1.57500000e-01,\n", - " 1.64500000e+00, 3.15000000e-01, 5.60000000e-01, 9.27500000e-01,\n", - " 6.14250000e+00, 4.02500000e+00, 1.22500000e-01, 4.20000000e-01,\n", - " 2.27500000e-01, 1.75000000e-01, 1.75000000e-01, 5.25000000e-01,\n", - " 5.25000000e-01, 6.73750000e+00, 6.42250000e+00, 4.90000000e-01,\n", - " 6.82500000e-01, 2.62500000e-01, 1.92500000e-01, 5.77500000e-01,\n", - " 1.75000000e-01, 1.75000000e-01, 1.19000000e+00, 9.10000000e-01,\n", - " 1.24250000e+00, 1.55750000e+00, 1.32825000e+01, 2.73000000e+00,\n", - " 2.41500000e+00, 2.52000000e+00, 4.70750000e+00, 3.50000000e-01,\n", - " 2.27500000e+00, 6.49250000e+00, 4.55000000e-01, 1.84800000e+01,\n", - " 1.38425000e+01, 8.48750000e+00, 9.45000000e-01, 2.62500000e-01,\n", - " 1.54875000e+01, 3.92000000e+00, 6.52750000e+00, 1.43500000e+00,\n", - " 3.32500000e-01, 5.35500000e+00, 4.30500000e+00, 1.75000000e-01,\n", - " 7.00000000e-02, 5.25000000e-02, 1.57500000e+00, 7.00000000e-02,\n", - " 7.29750000e+00, 1.56450000e+01, 7.00000000e-01, 1.43500000e+00,\n", - " 3.22000000e+00, 8.75000000e-02, 4.02500000e-01, 4.72500000e+00,\n", - " 5.07500000e-01, 8.40000000e-01, 1.80250000e+00, 9.81750000e+00,\n", - " 5.40750000e+00, 1.12000000e+00, 1.76750000e+00, 2.34500000e+00,\n", - " 2.62500000e-01, 1.19000000e+00, 1.50500000e+00, 6.30000000e-01,\n", - " 8.75000000e-02, 9.45000000e-01, 4.55000000e-01, 4.37500000e-01,\n", - " 9.97500000e-01, 1.24250000e+00, 1.83750000e+00, 4.90000000e-01,\n", - " 5.25000000e-02, 6.65000000e-01, 8.45250000e+00, 4.72500000e-01,\n", - " 4.13000000e+00, 4.20000000e-01, 1.50500000e+00, 8.57500000e+00,\n", - " 1.34575000e+01, 3.01000000e+00, 5.74000000e+00, 6.65000000e-01,\n", - " 6.12500000e-01, 4.37500000e-01, 3.20250000e+00, 5.25000000e-01,\n", - " 5.60000000e-01, 3.15000000e-01, 8.75000000e-01, 8.40000000e-01,\n", - " 8.92500000e+00, 2.57250000e+00, 1.01500000e+00, 1.75000000e-02,\n", - " 8.57500000e-01, 3.23750000e+00, 3.72750000e+00, 3.50000000e+00,\n", - " 3.32500000e-01, 1.29500000e+00, 2.45000000e+00, 4.37500000e-01,\n", - " 1.10250000e+00, 6.65000000e-01, 2.97500000e-01, 4.90000000e-01,\n", - " 1.06750000e+00, 8.22500000e-01, 7.17500000e-01, 1.40000000e-01,\n", - " 5.26750000e+00, 6.70250000e+00, 2.62500000e-01, 2.80000000e-01,\n", - " 6.12500000e-01, 1.95650000e+01, 1.05875000e+01, 2.27500000e-01,\n", - " 7.47250000e+00, 3.88500000e+00, 1.75000000e-02, 7.52500000e-01,\n", - " 4.20000000e-01, 3.57000000e+00, 5.25000000e+00, 7.21000000e+00,\n", - " 4.90000000e-01, 1.40175000e+01, 2.39750000e+00, 1.01500000e+01,\n", - " 1.31250000e+00, 1.83750000e+00, 7.82250000e+00, 5.91500000e+00,\n", - " 2.43250000e+00, 2.78250000e+00, 0.00000000e+00, 1.75000000e+00,\n", - " 1.55750000e+00, 2.10000000e-01, 1.05000000e-01, 1.92500000e-01,\n", - " 2.97500000e-01, 5.60000000e-01, 1.15500000e+00, 7.87500000e-01,\n", - " 6.65000000e-01, 3.13250000e+00, 3.41250000e+00, 7.00000000e-02,\n", - " 6.82500000e-01, 9.45000000e-01, 4.20000000e-01, 6.47500000e-01,\n", - " 3.50000000e-01, 1.13750000e+00, 2.92250000e+00, 4.20000000e-01,\n", - " 3.32500000e-01, 1.91800000e+01, 7.52500000e-01, 6.47500000e-01,\n", - " 5.60000000e-01, 3.58750000e+00, 8.22500000e-01, 2.97500000e-01,\n", - " 2.52000000e+00, 6.65000000e-01, 4.63750000e+00, 1.22500000e+00,\n", - " 1.04825000e+01, 7.57750000e+00, 7.17500000e+00, 6.47500000e-01,\n", - " 7.00000000e-02, 8.22500000e-01, 1.92500000e-01, 4.72500000e-01,\n", - " 9.73000000e+00, 5.07500000e-01, 5.25000000e-02, 2.80000000e-01,\n", - " 6.51000000e+00, 1.64500000e+00, 3.85000000e-01, 1.33000000e+00,\n", - " 6.44000000e+00, 1.16900000e+01, 2.14200000e+01, 2.48500000e+00,\n", - " 1.12700000e+01, 1.51375000e+01, 1.31250000e+00, 6.82500000e-01,\n", - " 1.83750000e+00, 2.56900000e+01, 1.37200000e+01, 7.00000000e-02,\n", - " 7.87500000e-01, 1.15500000e+00, 4.90000000e-01, 2.24000000e+00,\n", - " 1.01500000e+00, 1.75000000e+00, 1.94250000e+00, 1.03425000e+01,\n", - " 2.43250000e+00, 1.40000000e-01, 2.94000000e+00, 4.63750000e+00,\n", - " 2.78250000e+00, 2.43250000e+00, 1.57500000e-01, 1.34750000e+00,\n", - " 8.22500000e-01, 2.97500000e-01, 1.57500000e-01, 1.29325000e+01,\n", - " 9.45000000e-01, 3.67500000e-01, 1.22500000e+00, 2.34500000e+00,\n", - " 1.38425000e+01, 7.73500000e+00, 1.20750000e+00, 1.68000000e+00,\n", - " 6.79000000e+00, 9.62500000e-01, 1.64500000e+00, 5.25000000e+00,\n", - " 4.44500000e+00, 6.47500000e-01, 8.06750000e+00, 7.35000000e-01,\n", - " 1.60650000e+01, 8.57500000e-01, 2.57250000e+00, 1.22500000e-01,\n", - " 8.75000000e-02, 2.27500000e-01, 1.33000000e+00, 8.92500000e-01,\n", - " 1.43500000e+00, 7.87500000e-01, 6.12500000e-01, 7.52500000e-01,\n", - " 2.64250000e+00, 9.10000000e-01, 3.67500000e-01, 3.50000000e+00,\n", - " 2.97500000e-01, 1.12350000e+01, 2.71250000e+00, 2.76500000e+00,\n", - " 6.47500000e-01, 1.01500000e+00, 3.85000000e-01, 1.24950000e+01,\n", - " 4.90000000e-01, 2.27500000e-01, 2.60750000e+00, 2.31700000e+01,\n", - " 3.50000000e-01, 5.60000000e-01, 7.00000000e-02, 1.07100000e+01,\n", - " 1.75000000e-01, 2.41500000e+00, 3.50000000e-01, 9.64250000e+00,\n", - " 3.92000000e+00, 1.57500000e-01, 3.50000000e-02, 6.47500000e+00,\n", - " 1.22500000e-01, 1.06750000e+00, 3.57000000e+00, 9.45000000e-01,\n", - " 4.32250000e+00, 1.45250000e+00, 3.08000000e+00, 4.90000000e-01,\n", - " 9.10000000e-01, 1.57500000e-01, 1.33175000e+01, 1.36500000e+01,\n", - " 2.95750000e+00, 7.26250000e+00, 1.49100000e+01, 5.77500000e-01,\n", - " 8.75000000e-02, 2.97500000e-01, 6.12500000e-01, 7.87500000e-01,\n", - " 2.62500000e-01, 1.05000000e-01, 5.77500000e-01, 1.40000000e+00,\n", - " 1.94250000e+00, 5.77500000e-01, 3.15000000e-01, 2.97500000e-01,\n", - " 4.02500000e-01, 5.25000000e-02, 1.29500000e+00, 6.65000000e-01,\n", - " 3.15000000e-01, 1.62750000e+00, 1.40000000e-01, 2.50250000e+00,\n", - " 4.27000000e+00, 1.55750000e+00, 4.06000000e+00, 7.36750000e+00,\n", - " 2.32750000e+00, 1.12000000e+01, 1.22500000e+00, 2.15250000e+00,\n", - " 4.20000000e+00, 1.69750000e+00, 8.05000000e-01, 1.01500000e+00,\n", - " 4.55000000e-01, 5.77500000e-01, 1.75000000e-02, 6.47500000e-01,\n", - " 2.97500000e-01, 1.57500000e-01, 7.17500000e-01, 3.27250000e+00,\n", - " 7.70000000e-01, 6.30000000e-01, 2.62500000e-01, 1.13750000e+00,\n", - " 7.49000000e+00, 3.16750000e+00, 8.57500000e-01, 2.08250000e+00,\n", - " 6.12500000e-01, 1.54000000e+01, 1.08500000e+00, 5.23250000e+00,\n", - " 1.05000000e+00, 1.33000000e+00, 5.42500000e-01, 1.54000000e+00,\n", - " 8.05000000e-01, 5.77500000e-01, 1.96000000e+00, 1.05000000e-01,\n", - " 3.15000000e-01, 8.22500000e-01, 6.12500000e-01, 8.05000000e-01,\n", - " 2.27500000e-01, 1.17250000e+00, 7.00000000e+00, 2.01250000e+00,\n", - " 3.16750000e+00, 1.90750000e+00, 1.10250000e+00, 2.41500000e+00,\n", - " 8.06750000e+00, 6.14250000e+00, 4.55000000e-01, 1.82000000e+00,\n", - " 9.27500000e-01, 1.20750000e+00, 2.73000000e+00, 5.19750000e+00,\n", - " 5.25000000e-02, 8.75000000e-02, 6.17750000e+00, 6.37000000e+00,\n", - " 9.80000000e-01, 1.22500000e-01, 6.82500000e-01, 4.55000000e-01,\n", - " 5.25000000e-02, 1.22500000e-01, 5.25000000e-01, 6.12500000e-01,\n", - " 6.94750000e+00, 3.36000000e+00, 3.67500000e-01, 1.03250000e+00,\n", - " 7.21000000e+00, 4.20000000e-01, 1.30900000e+01, 6.30000000e-01,\n", - " 9.43250000e+00, 8.57500000e-01, 3.72750000e+00, 7.00000000e-02,\n", - " 2.27500000e-01, 5.95000000e-01, 2.45000000e-01, 3.97250000e+00,\n", - " 2.41500000e+00, 1.90750000e+00, 2.80000000e-01, 7.52500000e-01,\n", - " 5.25000000e-02, 3.22000000e+00, 8.92500000e-01, 1.05000000e-01,\n", - " 1.47000000e+00, 5.12750000e+00, 1.82000000e+00, 1.75000000e-02,\n", - " 7.59500000e+00, 5.25000000e-01, 5.35500000e+00, 8.75000000e-02,\n", - " 5.25000000e-02, 6.82500000e-01, 3.18500000e+00, 4.90000000e-01,\n", - " 1.33000000e+00, 3.09750000e+00, 1.57500000e-01, 2.10000000e-01,\n", - " 1.10600000e+01, 7.00000000e-02, 7.00000000e-02, 5.60000000e-01,\n", - " 6.47500000e-01, 5.60000000e-01, 1.92500000e-01, 9.45000000e-01,\n", - " 8.05000000e-01, 1.12000000e+00, 8.40000000e-01, 2.41500000e+00,\n", - " 4.35750000e+00, 3.32500000e-01, 1.75000000e-01, 4.55000000e-01,\n", - " 7.52500000e-01, 7.70000000e-01, 2.52000000e+00, 2.97500000e-01,\n", - " 1.57500000e-01, 8.57500000e-01, 4.46250000e+00, 1.45250000e+00,\n", - " 8.22500000e-01, 3.10100000e+01, 3.50000000e-02, 3.85000000e-01,\n", - " 3.67500000e-01, 1.05000000e-01, 1.22500000e-01, 1.57500000e-01,\n", - " 1.40000000e-01, 1.01500000e+00, 2.45000000e-01, 3.25500000e+00,\n", - " 1.68350000e+01, 9.62500000e-01, 3.32500000e-01, 1.13750000e+00,\n", - " 6.07250000e+00, 4.72500000e-01, 2.97500000e-01, 1.31250000e+00,\n", - " 2.62500000e-01, 1.52250000e+00, 2.59000000e+00, 2.11750000e+00,\n", - " 1.92500000e-01, 9.80000000e-01, 6.82500000e-01, 5.07500000e-01,\n", - " 8.22500000e-01, 4.58500000e+00, 9.80000000e-01, 1.59250000e+00,\n", - " 2.59000000e+00, 3.15000000e+00, 2.45000000e-01, 7.00000000e-01,\n", - " 2.90500000e+00, 2.66000000e+00, 9.48500000e+00, 2.27500000e-01,\n", - " 3.48250000e+00, 4.20000000e-01, 1.03250000e+00, 1.45250000e+00,\n", - " 3.50000000e-01, 1.45250000e+00, 5.25000000e-01, 4.37500000e-01,\n", - " 1.22500000e+00, 1.38250000e+00, 3.15000000e-01, 1.40000000e-01,\n", - " 1.12000000e+00, 1.97750000e+00, 1.24250000e+00, 8.22500000e-01,\n", - " 4.72500000e-01, 5.25000000e-02, 1.99500000e+00, 5.61750000e+00,\n", - " 7.52500000e-01, 3.85000000e-01, 1.75000000e-02, 1.15500000e+00,\n", - " 8.22500000e-01, 2.62500000e-01, 3.15000000e-01, 1.38250000e+00,\n", - " 4.20000000e-01, 8.96000000e+00, 8.22500000e-01, 3.15000000e-01,\n", - " 0.00000000e+00, 1.78500000e+00, 4.20000000e-01, 5.60000000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 8.98720709e+02, -2.52731782e+03, -5.10722482e+01, -9.68617487e+01,\n", - " -3.86636751e+01, 0.00000000e+00, -1.72969024e+02, -6.39244446e+02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 1.17250000e+00, 5.47750000e+00, 1.06925000e+01, 7.57750000e+00,\n", - " 4.02500000e-01, 7.35000000e-01, 4.90000000e-01, 1.03250000e+00,\n", - " 1.69750000e+00, 2.62500000e-01, 1.03250000e+00, 8.22500000e-01,\n", - " 1.84100000e+01, 7.00000000e-02, 2.45000000e-01, 1.57500000e-01,\n", - " 9.18750000e+00, 6.61500000e+00, 9.97500000e-01, 1.55750000e+00,\n", - " 3.67500000e-01, 1.92500000e-01, 1.05000000e-01, 0.00000000e+00,\n", - " 3.50000000e-01, 1.15500000e+00, 8.75000000e-02, 6.73750000e+00,\n", - " 1.31250000e+00, 5.40750000e+00, 2.87000000e+00, 2.18750000e+00,\n", - " 2.41500000e+00, 1.05000000e-01, 0.00000000e+00, 1.22500000e-01,\n", - " 1.36500000e+00, 6.30000000e-01, 3.15000000e-01, 2.27500000e-01,\n", - " 7.87500000e-01, 7.35000000e-01, 1.97750000e+00, 4.16500000e+00,\n", - " 6.65000000e-01, 6.91250000e+00, 2.18750000e+00, 8.80250000e+00,\n", - " 1.10250000e+00, 3.07650000e+01, 1.92500000e-01, 2.45000000e-01,\n", - " 8.05000000e-01, 5.77500000e-01, 1.29500000e+00, 3.15000000e-01,\n", - " 1.15500000e+00, 9.20500000e+00, 1.59775000e+01, 4.28750000e+00,\n", - " 2.99250000e+00, 2.62500000e+00, 1.05000000e+00, 4.48000000e+00,\n", - " 5.42500000e-01, 4.37500000e-01, 4.27000000e+00, 3.64000000e+00,\n", - " 1.75000000e-01, 0.00000000e+00, 8.05000000e-01, 8.22500000e-01,\n", - " 7.00000000e-02, 1.92500000e-01, 1.47000000e+00, 3.01000000e+00,\n", - " 1.78500000e+00, 5.77500000e-01, 5.95000000e-01, 4.41000000e+00,\n", - " 1.02550000e+01, 9.11750000e+00, 1.99500000e+00, 3.22000000e+00,\n", - " 3.76250000e+00, 4.20000000e+00, 4.72500000e-01, 9.80000000e-01,\n", - " 1.75000000e-01, 2.10000000e-01, 3.15000000e-01, 0.00000000e+00,\n", - " 8.75000000e-02, 2.45000000e-01, 3.55250000e+00, 9.27500000e-01,\n", - " 1.05000000e-01, 0.00000000e+00, 2.62500000e-01, 2.85250000e+00,\n", - " 2.27500000e+00, 8.12000000e+00, 1.06400000e+01, 1.97750000e+00,\n", - " 3.15000000e-01, 1.57500000e-01, 8.22500000e-01, 1.57500000e-01,\n", - " 4.70750000e+00, 3.65750000e+00, 1.12000000e+00, 9.10000000e-01,\n", - " 9.53750000e+00, 1.92500000e+00, 0.00000000e+00, 4.60250000e+00,\n", - " 3.02750000e+00, 1.49450000e+01, 2.41500000e+00, 7.15750000e+00,\n", - " 1.48750000e+00, 2.03000000e+00, 5.54750000e+00, 9.31000000e+00,\n", - " 8.33000000e+00, 1.66775000e+01, 2.48500000e+00, 1.06750000e+00,\n", - " 7.08750000e+00, 8.78500000e+00, 2.99250000e+00, 1.64500000e+00,\n", - " 3.50000000e-01, 1.40000000e+00, 2.60750000e+00, 1.82000000e+00,\n", - " 1.54000000e+00, 4.55000000e+00, 1.29500000e+00, 4.37500000e-01,\n", - " 8.69750000e+00, 7.40250000e+00, 6.49250000e+00, 6.79000000e+00,\n", - " 1.03250000e+00, 1.17250000e+00, 2.27500000e-01, 6.12500000e-01,\n", - " 1.26000000e+00, 2.41500000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.73775000e+01, 2.52700000e+01, 5.48625000e+01, 1.43500000e+00,\n", - " 1.57500000e+00, 8.57500000e-01, 1.92500000e-01, 2.10000000e-01,\n", - " 5.25000000e-01, 4.55000000e-01, 2.81750000e+00, 2.57250000e+00,\n", - " 2.41500000e+00, 7.00000000e-01, 1.81300000e+01, 3.31975000e+01,\n", - " 5.07500000e-01, 4.37500000e-01, 1.17250000e+00, 4.72500000e-01,\n", - " 5.25000000e-01, 1.24250000e+00, 2.34500000e+00, 8.40000000e-01,\n", - " 1.19000000e+00, 1.22500000e+00, 1.57500000e-01, 2.99250000e+00,\n", - " 3.85000000e-01, 9.27500000e-01, 1.10250000e+00, 2.85250000e+00,\n", - " 2.22250000e+00, 1.92500000e-01, 3.30750000e+00, 9.97500000e-01,\n", - " 7.17500000e-01, 7.87500000e-01, 1.85500000e+00, 9.45000000e-01,\n", - " 2.04750000e+00, 1.05000000e-01, 9.62500000e-01, 5.95000000e-01,\n", - " 8.40000000e-01, 2.97500000e-01, 3.42825000e+01, 8.75000000e-01,\n", - " 7.70000000e-01, 3.50000000e+01, 1.26000000e+00, 2.27500000e-01,\n", - " 0.00000000e+00, 2.27500000e-01, 1.05000000e-01, 8.75000000e-01,\n", - " 1.20750000e+00, 2.45000000e-01, 9.27500000e-01, 1.15500000e+01,\n", - " 7.36750000e+00, 8.90750000e+00, 3.10800000e+01, 2.69850000e+01,\n", - " 7.35000000e-01, 4.20000000e-01, 7.07000000e+00, 4.55000000e+00,\n", - " 1.53825000e+01, 1.09200000e+01, 1.57500000e-01, 3.85000000e+00,\n", - " 1.10250000e+00, 1.56275000e+01, 8.75000000e-02, 1.22500000e-01,\n", - " 1.92500000e-01, 8.75000000e-02, 5.51250000e+00, 4.35750000e+00,\n", - " 4.37500000e+00, 1.37375000e+01, 7.17500000e-01, 1.75000000e-01,\n", - " 6.84250000e+00, 2.27500000e-01, 7.17500000e-01, 1.10425000e+01,\n", - " 7.52500000e-01, 7.00000000e-01, 6.65000000e-01, 7.70000000e-01,\n", - " 4.02500000e-01, 8.94250000e+00, 5.07500000e+00, 1.57500000e+00,\n", - " 2.39750000e+00, 8.40000000e-01, 1.57500000e-01, 4.48000000e+00,\n", - " 2.80000000e+00, 6.38750000e+00, 6.30000000e-01, 1.12000000e+00,\n", - " 4.02500000e-01, 6.47500000e-01, 1.31250000e+00, 5.02250000e+00,\n", - " 1.41750000e+00, 5.16250000e+00, 1.97750000e+00, 7.35000000e-01,\n", - " 1.54000000e+00, 2.64250000e+00, 4.41000000e+00, 1.20400000e+01,\n", - " 1.34750000e+00, 6.38750000e+00, 5.95000000e-01, 5.77500000e-01,\n", - " 1.57500000e+00, 3.20250000e+00, 1.22500000e+00, 3.64000000e+00,\n", - " 2.45000000e-01, 8.22500000e-01, 4.55000000e+00, 2.38000000e+00,\n", - " 2.97500000e-01, 5.42500000e-01, 1.90750000e+00, 1.10250000e+00,\n", - " 2.08250000e+00, 1.40000000e+00, 1.92500000e-01, 6.12500000e-01,\n", - " 1.40000000e-01, 1.75000000e-02, 7.10500000e+00, 9.50250000e+00,\n", - " 4.55000000e-01, 3.32500000e-01, 2.10175000e+01, 9.48500000e+00,\n", - " 1.80250000e+00, 7.10500000e+00, 1.10250000e+00, 3.71000000e+00,\n", - " 4.90000000e-01, 4.37500000e-01, 4.95250000e+00, 5.95000000e-01,\n", - " 2.27500000e-01, 3.44750000e+00, 1.94250000e+00, 9.10000000e-01,\n", - " 8.01500000e+00, 2.80000000e-01, 6.47500000e-01, 3.32500000e-01,\n", - " 4.72500000e-01, 1.75000000e-01, 1.09375000e+01, 5.70500000e+00,\n", - " 6.47500000e-01, 2.97500000e-01, 4.65500000e+00, 4.90000000e-01,\n", - " 2.32750000e+00, 1.75000000e-02, 2.15250000e+00, 2.76500000e+00,\n", - " 7.87500000e-01, 2.60750000e+00, 4.37500000e-01, 1.39125000e+01,\n", - " 5.95000000e-01, 5.77500000e-01, 5.42500000e-01, 2.00200000e+01,\n", - " 6.12500000e-01, 1.45250000e+00, 1.57500000e-01, 8.75000000e-02,\n", - " 4.84750000e+00, 1.73250000e+00, 1.40000000e-01, 0.00000000e+00,\n", - " 6.16000000e+00, 3.18500000e+00, 9.17000000e+00, 3.99000000e+00,\n", - " 1.05000000e-01, 7.00000000e-02, 5.25000000e-01, 2.38000000e+00,\n", - " 2.81750000e+00, 4.37500000e-01, 0.00000000e+00, 1.57500000e-01,\n", - " 1.64500000e+00, 3.15000000e-01, 5.60000000e-01, 9.27500000e-01,\n", - " 6.14250000e+00, 4.02500000e+00, 1.22500000e-01, 4.20000000e-01,\n", - " 2.27500000e-01, 1.75000000e-01, 1.75000000e-01, 5.25000000e-01,\n", - " 5.25000000e-01, 6.73750000e+00, 6.42250000e+00, 4.90000000e-01,\n", - " 6.82500000e-01, 2.62500000e-01, 1.92500000e-01, 5.77500000e-01,\n", - " 1.75000000e-01, 1.75000000e-01, 1.19000000e+00, 9.10000000e-01,\n", - " 1.24250000e+00, 1.55750000e+00, 1.32825000e+01, 2.73000000e+00,\n", - " 2.41500000e+00, 2.52000000e+00, 4.70750000e+00, 3.50000000e-01,\n", - " 2.27500000e+00, 6.49250000e+00, 4.55000000e-01, 1.84800000e+01,\n", - " 1.38425000e+01, 8.48750000e+00, 9.45000000e-01, 2.62500000e-01,\n", - " 1.54875000e+01, 3.92000000e+00, 6.52750000e+00, 1.43500000e+00,\n", - " 3.32500000e-01, 5.35500000e+00, 4.30500000e+00, 1.75000000e-01,\n", - " 7.00000000e-02, 5.25000000e-02, 1.57500000e+00, 7.00000000e-02,\n", - " 7.29750000e+00, 1.56450000e+01, 7.00000000e-01, 1.43500000e+00,\n", - " 3.22000000e+00, 8.75000000e-02, 4.02500000e-01, 4.72500000e+00,\n", - " 5.07500000e-01, 8.40000000e-01, 1.80250000e+00, 9.81750000e+00,\n", - " 5.40750000e+00, 1.12000000e+00, 1.76750000e+00, 2.34500000e+00,\n", - " 2.62500000e-01, 1.19000000e+00, 1.50500000e+00, 6.30000000e-01,\n", - " 8.75000000e-02, 9.45000000e-01, 4.55000000e-01, 4.37500000e-01,\n", - " 9.97500000e-01, 1.24250000e+00, 1.83750000e+00, 4.90000000e-01,\n", - " 5.25000000e-02, 6.65000000e-01, 8.45250000e+00, 4.72500000e-01,\n", - " 4.13000000e+00, 4.20000000e-01, 1.50500000e+00, 8.57500000e+00,\n", - " 1.34575000e+01, 3.01000000e+00, 5.74000000e+00, 6.65000000e-01,\n", - " 6.12500000e-01, 4.37500000e-01, 3.20250000e+00, 5.25000000e-01,\n", - " 5.60000000e-01, 3.15000000e-01, 8.75000000e-01, 8.40000000e-01,\n", - " 8.92500000e+00, 2.57250000e+00, 1.01500000e+00, 1.75000000e-02,\n", - " 8.57500000e-01, 3.23750000e+00, 3.72750000e+00, 3.50000000e+00,\n", - " 3.32500000e-01, 1.29500000e+00, 2.45000000e+00, 4.37500000e-01,\n", - " 1.10250000e+00, 6.65000000e-01, 2.97500000e-01, 4.90000000e-01,\n", - " 1.06750000e+00, 8.22500000e-01, 7.17500000e-01, 1.40000000e-01,\n", - " 5.26750000e+00, 6.70250000e+00, 2.62500000e-01, 2.80000000e-01,\n", - " 6.12500000e-01, 1.95650000e+01, 1.05875000e+01, 2.27500000e-01,\n", - " 7.47250000e+00, 3.88500000e+00, 1.75000000e-02, 7.52500000e-01,\n", - " 4.20000000e-01, 3.57000000e+00, 5.25000000e+00, 7.21000000e+00,\n", - " 4.90000000e-01, 1.40175000e+01, 2.39750000e+00, 1.01500000e+01,\n", - " 1.31250000e+00, 1.83750000e+00, 7.82250000e+00, 5.91500000e+00,\n", - " 2.43250000e+00, 2.78250000e+00, 0.00000000e+00, 1.75000000e+00,\n", - " 1.55750000e+00, 2.10000000e-01, 1.05000000e-01, 1.92500000e-01,\n", - " 2.97500000e-01, 5.60000000e-01, 1.15500000e+00, 7.87500000e-01,\n", - " 6.65000000e-01, 3.13250000e+00, 3.41250000e+00, 7.00000000e-02,\n", - " 6.82500000e-01, 9.45000000e-01, 4.20000000e-01, 6.47500000e-01,\n", - " 3.50000000e-01, 1.13750000e+00, 2.92250000e+00, 4.20000000e-01,\n", - " 3.32500000e-01, 1.91800000e+01, 7.52500000e-01, 6.47500000e-01,\n", - " 5.60000000e-01, 3.58750000e+00, 8.22500000e-01, 2.97500000e-01,\n", - " 2.52000000e+00, 6.65000000e-01, 4.63750000e+00, 1.22500000e+00,\n", - " 1.04825000e+01, 7.57750000e+00, 7.17500000e+00, 6.47500000e-01,\n", - " 7.00000000e-02, 8.22500000e-01, 1.92500000e-01, 4.72500000e-01,\n", - " 9.73000000e+00, 5.07500000e-01, 5.25000000e-02, 2.80000000e-01,\n", - " 6.51000000e+00, 1.64500000e+00, 3.85000000e-01, 1.33000000e+00,\n", - " 6.44000000e+00, 1.16900000e+01, 2.14200000e+01, 2.48500000e+00,\n", - " 1.12700000e+01, 1.51375000e+01, 1.31250000e+00, 6.82500000e-01,\n", - " 1.83750000e+00, 2.56900000e+01, 1.37200000e+01, 7.00000000e-02,\n", - " 7.87500000e-01, 1.15500000e+00, 4.90000000e-01, 2.24000000e+00,\n", - " 1.01500000e+00, 1.75000000e+00, 1.94250000e+00, 1.03425000e+01,\n", - " 2.43250000e+00, 1.40000000e-01, 2.94000000e+00, 4.63750000e+00,\n", - " 2.78250000e+00, 2.43250000e+00, 1.57500000e-01, 1.34750000e+00,\n", - " 8.22500000e-01, 2.97500000e-01, 1.57500000e-01, 1.29325000e+01,\n", - " 9.45000000e-01, 3.67500000e-01, 1.22500000e+00, 2.34500000e+00,\n", - " 1.38425000e+01, 7.73500000e+00, 1.20750000e+00, 1.68000000e+00,\n", - " 6.79000000e+00, 9.62500000e-01, 1.64500000e+00, 5.25000000e+00,\n", - " 4.44500000e+00, 6.47500000e-01, 8.06750000e+00, 7.35000000e-01,\n", - " 1.60650000e+01, 8.57500000e-01, 2.57250000e+00, 1.22500000e-01,\n", - " 8.75000000e-02, 2.27500000e-01, 1.33000000e+00, 8.92500000e-01,\n", - " 1.43500000e+00, 7.87500000e-01, 6.12500000e-01, 7.52500000e-01,\n", - " 2.64250000e+00, 9.10000000e-01, 3.67500000e-01, 3.50000000e+00,\n", - " 2.97500000e-01, 1.12350000e+01, 2.71250000e+00, 2.76500000e+00,\n", - " 6.47500000e-01, 1.01500000e+00, 3.85000000e-01, 1.24950000e+01,\n", - " 4.90000000e-01, 2.27500000e-01, 2.60750000e+00, 2.31700000e+01,\n", - " 3.50000000e-01, 5.60000000e-01, 7.00000000e-02, 1.07100000e+01,\n", - " 1.75000000e-01, 2.41500000e+00, 3.50000000e-01, 9.64250000e+00,\n", - " 3.92000000e+00, 1.57500000e-01, 3.50000000e-02, 6.47500000e+00,\n", - " 1.22500000e-01, 1.06750000e+00, 3.57000000e+00, 9.45000000e-01,\n", - " 4.32250000e+00, 1.45250000e+00, 3.08000000e+00, 4.90000000e-01,\n", - " 9.10000000e-01, 1.57500000e-01, 1.33175000e+01, 1.36500000e+01,\n", - " 2.95750000e+00, 7.26250000e+00, 1.49100000e+01, 5.77500000e-01,\n", - " 8.75000000e-02, 2.97500000e-01, 6.12500000e-01, 7.87500000e-01,\n", - " 2.62500000e-01, 1.05000000e-01, 5.77500000e-01, 1.40000000e+00,\n", - " 1.94250000e+00, 5.77500000e-01, 3.15000000e-01, 2.97500000e-01,\n", - " 4.02500000e-01, 5.25000000e-02, 1.29500000e+00, 6.65000000e-01,\n", - " 3.15000000e-01, 1.62750000e+00, 1.40000000e-01, 2.50250000e+00,\n", - " 4.27000000e+00, 1.55750000e+00, 4.06000000e+00, 7.36750000e+00,\n", - " 2.32750000e+00, 1.12000000e+01, 1.22500000e+00, 2.15250000e+00,\n", - " 4.20000000e+00, 1.69750000e+00, 8.05000000e-01, 1.01500000e+00,\n", - " 4.55000000e-01, 5.77500000e-01, 1.75000000e-02, 6.47500000e-01,\n", - " 2.97500000e-01, 1.57500000e-01, 7.17500000e-01, 3.27250000e+00,\n", - " 7.70000000e-01, 6.30000000e-01, 2.62500000e-01, 1.13750000e+00,\n", - " 7.49000000e+00, 3.16750000e+00, 8.57500000e-01, 2.08250000e+00,\n", - " 6.12500000e-01, 1.54000000e+01, 1.08500000e+00, 5.23250000e+00,\n", - " 1.05000000e+00, 1.33000000e+00, 5.42500000e-01, 1.54000000e+00,\n", - " 8.05000000e-01, 5.77500000e-01, 1.96000000e+00, 1.05000000e-01,\n", - " 3.15000000e-01, 8.22500000e-01, 6.12500000e-01, 8.05000000e-01,\n", - " 2.27500000e-01, 1.17250000e+00, 7.00000000e+00, 2.01250000e+00,\n", - " 3.16750000e+00, 1.90750000e+00, 1.10250000e+00, 2.41500000e+00,\n", - " 8.06750000e+00, 6.14250000e+00, 4.55000000e-01, 1.82000000e+00,\n", - " 9.27500000e-01, 1.20750000e+00, 2.73000000e+00, 5.19750000e+00,\n", - " 5.25000000e-02, 8.75000000e-02, 6.17750000e+00, 6.37000000e+00,\n", - " 9.80000000e-01, 1.22500000e-01, 6.82500000e-01, 4.55000000e-01,\n", - " 5.25000000e-02, 1.22500000e-01, 5.25000000e-01, 6.12500000e-01,\n", - " 6.94750000e+00, 3.36000000e+00, 3.67500000e-01, 1.03250000e+00,\n", - " 7.21000000e+00, 4.20000000e-01, 1.30900000e+01, 6.30000000e-01,\n", - " 9.43250000e+00, 8.57500000e-01, 3.72750000e+00, 7.00000000e-02,\n", - " 2.27500000e-01, 5.95000000e-01, 2.45000000e-01, 3.97250000e+00,\n", - " 2.41500000e+00, 1.90750000e+00, 2.80000000e-01, 7.52500000e-01,\n", - " 5.25000000e-02, 3.22000000e+00, 8.92500000e-01, 1.05000000e-01,\n", - " 1.47000000e+00, 5.12750000e+00, 1.82000000e+00, 1.75000000e-02,\n", - " 7.59500000e+00, 5.25000000e-01, 5.35500000e+00, 8.75000000e-02,\n", - " 5.25000000e-02, 6.82500000e-01, 3.18500000e+00, 4.90000000e-01,\n", - " 1.33000000e+00, 3.09750000e+00, 1.57500000e-01, 2.10000000e-01,\n", - " 1.10600000e+01, 7.00000000e-02, 7.00000000e-02, 5.60000000e-01,\n", - " 6.47500000e-01, 5.60000000e-01, 1.92500000e-01, 9.45000000e-01,\n", - " 8.05000000e-01, 1.12000000e+00, 8.40000000e-01, 2.41500000e+00,\n", - " 4.35750000e+00, 3.32500000e-01, 1.75000000e-01, 4.55000000e-01,\n", - " 7.52500000e-01, 7.70000000e-01, 2.52000000e+00, 2.97500000e-01,\n", - " 1.57500000e-01, 8.57500000e-01, 4.46250000e+00, 1.45250000e+00,\n", - " 8.22500000e-01, 3.10100000e+01, 3.50000000e-02, 3.85000000e-01,\n", - " 3.67500000e-01, 1.05000000e-01, 1.22500000e-01, 1.57500000e-01,\n", - " 1.40000000e-01, 1.01500000e+00, 2.45000000e-01, 3.25500000e+00,\n", - " 1.68350000e+01, 9.62500000e-01, 3.32500000e-01, 1.13750000e+00,\n", - " 6.07250000e+00, 4.72500000e-01, 2.97500000e-01, 1.31250000e+00,\n", - " 2.62500000e-01, 1.52250000e+00, 2.59000000e+00, 2.11750000e+00,\n", - " 1.92500000e-01, 9.80000000e-01, 6.82500000e-01, 5.07500000e-01,\n", - " 8.22500000e-01, 4.58500000e+00, 9.80000000e-01, 1.59250000e+00,\n", - " 2.59000000e+00, 3.15000000e+00, 2.45000000e-01, 7.00000000e-01,\n", - " 2.90500000e+00, 2.66000000e+00, 9.48500000e+00, 2.27500000e-01,\n", - " 3.48250000e+00, 4.20000000e-01, 1.03250000e+00, 1.45250000e+00,\n", - " 3.50000000e-01, 1.45250000e+00, 5.25000000e-01, 4.37500000e-01,\n", - " 1.22500000e+00, 1.38250000e+00, 3.15000000e-01, 1.40000000e-01,\n", - " 1.12000000e+00, 1.97750000e+00, 1.24250000e+00, 8.22500000e-01,\n", - " 4.72500000e-01, 5.25000000e-02, 1.99500000e+00, 5.61750000e+00,\n", - " 7.52500000e-01, 3.85000000e-01, 1.75000000e-02, 1.15500000e+00,\n", - " 8.22500000e-01, 2.62500000e-01, 3.15000000e-01, 1.38250000e+00,\n", - " 4.20000000e-01, 8.96000000e+00, 8.22500000e-01, 3.15000000e-01,\n", - " 0.00000000e+00, 1.78500000e+00, 4.20000000e-01, 5.60000000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 2.84593734e+02, -2.52731782e+03, -6.10149854e+01, -9.85986026e+01,\n", - " -4.24727228e+01, 0.00000000e+00, -1.82596603e+02, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 1.11823000e+00, 5.22397000e+00, 1.01975900e+01, 7.22677000e+00,\n", - " 3.83870000e-01, 7.00980000e-01, 4.67320000e-01, 9.84710000e-01,\n", - " 1.61893000e+00, 2.50350000e-01, 9.84710000e-01, 7.84430000e-01,\n", - " 1.75578800e+01, 6.67600000e-02, 2.33660000e-01, 1.50210000e-01,\n", - " 8.76225000e+00, 6.30882000e+00, 9.51330000e-01, 1.48541000e+00,\n", - " 3.50490000e-01, 1.83590000e-01, 1.00140000e-01, 0.00000000e+00,\n", - " 3.33800000e-01, 1.10154000e+00, 8.34500000e-02, 6.42565000e+00,\n", - " 1.25175000e+00, 5.15721000e+00, 2.73716000e+00, 2.08625000e+00,\n", - " 2.30322000e+00, 1.00140000e-01, 0.00000000e+00, 1.16830000e-01,\n", - " 1.30182000e+00, 6.00840000e-01, 3.00420000e-01, 2.16970000e-01,\n", - " 7.51050000e-01, 7.00980000e-01, 1.88597000e+00, 3.97222000e+00,\n", - " 6.34220000e-01, 6.59255000e+00, 2.08625000e+00, 8.39507000e+00,\n", - " 1.05147000e+00, 2.93410200e+01, 1.83590000e-01, 2.33660000e-01,\n", - " 7.67740000e-01, 5.50770000e-01, 1.23506000e+00, 3.00420000e-01,\n", - " 1.10154000e+00, 8.77894000e+00, 1.52379700e+01, 4.08905000e+00,\n", - " 2.85399000e+00, 2.50350000e+00, 1.00140000e+00, 4.27264000e+00,\n", - " 5.17390000e-01, 4.17250000e-01, 4.07236000e+00, 3.47152000e+00,\n", - " 1.66900000e-01, 0.00000000e+00, 7.67740000e-01, 7.84430000e-01,\n", - " 6.67600000e-02, 1.83590000e-01, 1.40196000e+00, 2.87068000e+00,\n", - " 1.70238000e+00, 5.50770000e-01, 5.67460000e-01, 4.20588000e+00,\n", - " 9.78034000e+00, 8.69549000e+00, 1.90266000e+00, 3.07096000e+00,\n", - " 3.58835000e+00, 4.00560000e+00, 4.50630000e-01, 9.34640000e-01,\n", - " 1.66900000e-01, 2.00280000e-01, 3.00420000e-01, 0.00000000e+00,\n", - " 8.34500000e-02, 2.33660000e-01, 3.38807000e+00, 8.84570000e-01,\n", - " 1.00140000e-01, 0.00000000e+00, 2.50350000e-01, 2.72047000e+00,\n", - " 2.16970000e+00, 7.74416000e+00, 1.01475200e+01, 1.88597000e+00,\n", - " 3.00420000e-01, 1.50210000e-01, 7.84430000e-01, 1.50210000e-01,\n", - " 4.48961000e+00, 3.48821000e+00, 1.06816000e+00, 8.67880000e-01,\n", - " 9.09605000e+00, 1.83590000e+00, 0.00000000e+00, 4.38947000e+00,\n", - " 2.88737000e+00, 1.42532600e+01, 2.30322000e+00, 6.82621000e+00,\n", - " 1.41865000e+00, 1.93604000e+00, 5.29073000e+00, 8.87908000e+00,\n", - " 7.94444000e+00, 1.59055700e+01, 2.36998000e+00, 1.01809000e+00,\n", - " 6.75945000e+00, 8.37838000e+00, 2.85399000e+00, 1.56886000e+00,\n", - " 3.33800000e-01, 1.33520000e+00, 2.48681000e+00, 1.73576000e+00,\n", - " 1.46872000e+00, 4.33940000e+00, 1.23506000e+00, 4.17250000e-01,\n", - " 8.29493000e+00, 7.05987000e+00, 6.19199000e+00, 6.47572000e+00,\n", - " 9.84710000e-01, 1.11823000e+00, 2.16970000e-01, 5.84150000e-01,\n", - " 1.20168000e+00, 2.30322000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.65731700e+01, 2.41003600e+01, 5.23231500e+01, 1.36858000e+00,\n", - " 1.50210000e+00, 8.17810000e-01, 1.83590000e-01, 2.00280000e-01,\n", - " 5.00700000e-01, 4.33940000e-01, 2.68709000e+00, 2.45343000e+00,\n", - " 2.30322000e+00, 6.67600000e-01, 1.72908400e+01, 3.16609300e+01,\n", - " 4.84010000e-01, 4.17250000e-01, 1.11823000e+00, 4.50630000e-01,\n", - " 5.00700000e-01, 1.18499000e+00, 2.23646000e+00, 8.01120000e-01,\n", - " 1.13492000e+00, 1.16830000e+00, 1.50210000e-01, 2.85399000e+00,\n", - " 3.67180000e-01, 8.84570000e-01, 1.05147000e+00, 2.72047000e+00,\n", - " 2.11963000e+00, 1.83590000e-01, 3.15441000e+00, 9.51330000e-01,\n", - " 6.84290000e-01, 7.51050000e-01, 1.76914000e+00, 9.01260000e-01,\n", - " 1.95273000e+00, 1.00140000e-01, 9.17950000e-01, 5.67460000e-01,\n", - " 8.01120000e-01, 2.83730000e-01, 3.26957100e+01, 8.34500000e-01,\n", - " 7.34360000e-01, 3.33800000e+01, 1.20168000e+00, 2.16970000e-01,\n", - " 0.00000000e+00, 2.16970000e-01, 1.00140000e-01, 8.34500000e-01,\n", - " 1.15161000e+00, 2.33660000e-01, 8.84570000e-01, 1.10154000e+01,\n", - " 7.02649000e+00, 8.49521000e+00, 2.96414400e+01, 2.57359800e+01,\n", - " 7.00980000e-01, 4.00560000e-01, 6.74276000e+00, 4.33940000e+00,\n", - " 1.46705100e+01, 1.04145600e+01, 1.50210000e-01, 3.67180000e+00,\n", - " 1.05147000e+00, 1.49041700e+01, 8.34500000e-02, 1.16830000e-01,\n", - " 1.83590000e-01, 8.34500000e-02, 5.25735000e+00, 4.15581000e+00,\n", - " 4.17250000e+00, 1.31016500e+01, 6.84290000e-01, 1.66900000e-01,\n", - " 6.52579000e+00, 2.16970000e-01, 6.84290000e-01, 1.05313900e+01,\n", - " 7.17670000e-01, 6.67600000e-01, 6.34220000e-01, 7.34360000e-01,\n", - " 3.83870000e-01, 8.52859000e+00, 4.84010000e+00, 1.50210000e+00,\n", - " 2.28653000e+00, 8.01120000e-01, 1.50210000e-01, 4.27264000e+00,\n", - " 2.67040000e+00, 6.09185000e+00, 6.00840000e-01, 1.06816000e+00,\n", - " 3.83870000e-01, 6.17530000e-01, 1.25175000e+00, 4.79003000e+00,\n", - " 1.35189000e+00, 4.92355000e+00, 1.88597000e+00, 7.00980000e-01,\n", - " 1.46872000e+00, 2.52019000e+00, 4.20588000e+00, 1.14827200e+01,\n", - " 1.28513000e+00, 6.09185000e+00, 5.67460000e-01, 5.50770000e-01,\n", - " 1.50210000e+00, 3.05427000e+00, 1.16830000e+00, 3.47152000e+00,\n", - " 2.33660000e-01, 7.84430000e-01, 4.33940000e+00, 2.26984000e+00,\n", - " 2.83730000e-01, 5.17390000e-01, 1.81921000e+00, 1.05147000e+00,\n", - " 1.98611000e+00, 1.33520000e+00, 1.83590000e-01, 5.84150000e-01,\n", - " 1.33520000e-01, 1.66900000e-02, 6.77614000e+00, 9.06267000e+00,\n", - " 4.33940000e-01, 3.17110000e-01, 2.00446900e+01, 9.04598000e+00,\n", - " 1.71907000e+00, 6.77614000e+00, 1.05147000e+00, 3.53828000e+00,\n", - " 4.67320000e-01, 4.17250000e-01, 4.72327000e+00, 5.67460000e-01,\n", - " 2.16970000e-01, 3.28793000e+00, 1.85259000e+00, 8.67880000e-01,\n", - " 7.64402000e+00, 2.67040000e-01, 6.17530000e-01, 3.17110000e-01,\n", - " 4.50630000e-01, 1.66900000e-01, 1.04312500e+01, 5.44094000e+00,\n", - " 6.17530000e-01, 2.83730000e-01, 4.43954000e+00, 4.67320000e-01,\n", - " 2.21977000e+00, 1.66900000e-02, 2.05287000e+00, 2.63702000e+00,\n", - " 7.51050000e-01, 2.48681000e+00, 4.17250000e-01, 1.32685500e+01,\n", - " 5.67460000e-01, 5.50770000e-01, 5.17390000e-01, 1.90933600e+01,\n", - " 5.84150000e-01, 1.38527000e+00, 1.50210000e-01, 8.34500000e-02,\n", - " 4.62313000e+00, 1.65231000e+00, 1.33520000e-01, 0.00000000e+00,\n", - " 5.87488000e+00, 3.03758000e+00, 8.74556000e+00, 3.80532000e+00,\n", - " 1.00140000e-01, 6.67600000e-02, 5.00700000e-01, 2.26984000e+00,\n", - " 2.68709000e+00, 4.17250000e-01, 0.00000000e+00, 1.50210000e-01,\n", - " 1.56886000e+00, 3.00420000e-01, 5.34080000e-01, 8.84570000e-01,\n", - " 5.85819000e+00, 3.83870000e+00, 1.16830000e-01, 4.00560000e-01,\n", - " 2.16970000e-01, 1.66900000e-01, 1.66900000e-01, 5.00700000e-01,\n", - " 5.00700000e-01, 6.42565000e+00, 6.12523000e+00, 4.67320000e-01,\n", - " 6.50910000e-01, 2.50350000e-01, 1.83590000e-01, 5.50770000e-01,\n", - " 1.66900000e-01, 1.66900000e-01, 1.13492000e+00, 8.67880000e-01,\n", - " 1.18499000e+00, 1.48541000e+00, 1.26677100e+01, 2.60364000e+00,\n", - " 2.30322000e+00, 2.40336000e+00, 4.48961000e+00, 3.33800000e-01,\n", - " 2.16970000e+00, 6.19199000e+00, 4.33940000e-01, 1.76246400e+01,\n", - " 1.32017900e+01, 8.09465000e+00, 9.01260000e-01, 2.50350000e-01,\n", - " 1.47706500e+01, 3.73856000e+00, 6.22537000e+00, 1.36858000e+00,\n", - " 3.17110000e-01, 5.10714000e+00, 4.10574000e+00, 1.66900000e-01,\n", - " 6.67600000e-02, 5.00700000e-02, 1.50210000e+00, 6.67600000e-02,\n", - " 6.95973000e+00, 1.49208600e+01, 6.67600000e-01, 1.36858000e+00,\n", - " 3.07096000e+00, 8.34500000e-02, 3.83870000e-01, 4.50630000e+00,\n", - " 4.84010000e-01, 8.01120000e-01, 1.71907000e+00, 9.36309000e+00,\n", - " 5.15721000e+00, 1.06816000e+00, 1.68569000e+00, 2.23646000e+00,\n", - " 2.50350000e-01, 1.13492000e+00, 1.43534000e+00, 6.00840000e-01,\n", - " 8.34500000e-02, 9.01260000e-01, 4.33940000e-01, 4.17250000e-01,\n", - " 9.51330000e-01, 1.18499000e+00, 1.75245000e+00, 4.67320000e-01,\n", - " 5.00700000e-02, 6.34220000e-01, 8.06127000e+00, 4.50630000e-01,\n", - " 3.93884000e+00, 4.00560000e-01, 1.43534000e+00, 8.17810000e+00,\n", - " 1.28346100e+01, 2.87068000e+00, 5.47432000e+00, 6.34220000e-01,\n", - " 5.84150000e-01, 4.17250000e-01, 3.05427000e+00, 5.00700000e-01,\n", - " 5.34080000e-01, 3.00420000e-01, 8.34500000e-01, 8.01120000e-01,\n", - " 8.51190000e+00, 2.45343000e+00, 9.68020000e-01, 1.66900000e-02,\n", - " 8.17810000e-01, 3.08765000e+00, 3.55497000e+00, 3.33800000e+00,\n", - " 3.17110000e-01, 1.23506000e+00, 2.33660000e+00, 4.17250000e-01,\n", - " 1.05147000e+00, 6.34220000e-01, 2.83730000e-01, 4.67320000e-01,\n", - " 1.01809000e+00, 7.84430000e-01, 6.84290000e-01, 1.33520000e-01,\n", - " 5.02369000e+00, 6.39227000e+00, 2.50350000e-01, 2.67040000e-01,\n", - " 5.84150000e-01, 1.86594200e+01, 1.00974500e+01, 2.16970000e-01,\n", - " 7.12663000e+00, 3.70518000e+00, 1.66900000e-02, 7.17670000e-01,\n", - " 4.00560000e-01, 3.40476000e+00, 5.00700000e+00, 6.87628000e+00,\n", - " 4.67320000e-01, 1.33686900e+01, 2.28653000e+00, 9.68020000e+00,\n", - " 1.25175000e+00, 1.75245000e+00, 7.46043000e+00, 5.64122000e+00,\n", - " 2.31991000e+00, 2.65371000e+00, 0.00000000e+00, 1.66900000e+00,\n", - " 1.48541000e+00, 2.00280000e-01, 1.00140000e-01, 1.83590000e-01,\n", - " 2.83730000e-01, 5.34080000e-01, 1.10154000e+00, 7.51050000e-01,\n", - " 6.34220000e-01, 2.98751000e+00, 3.25455000e+00, 6.67600000e-02,\n", - " 6.50910000e-01, 9.01260000e-01, 4.00560000e-01, 6.17530000e-01,\n", - " 3.33800000e-01, 1.08485000e+00, 2.78723000e+00, 4.00560000e-01,\n", - " 3.17110000e-01, 1.82922400e+01, 7.17670000e-01, 6.17530000e-01,\n", - " 5.34080000e-01, 3.42145000e+00, 7.84430000e-01, 2.83730000e-01,\n", - " 2.40336000e+00, 6.34220000e-01, 4.42285000e+00, 1.16830000e+00,\n", - " 9.99731000e+00, 7.22677000e+00, 6.84290000e+00, 6.17530000e-01,\n", - " 6.67600000e-02, 7.84430000e-01, 1.83590000e-01, 4.50630000e-01,\n", - " 9.27964000e+00, 4.84010000e-01, 5.00700000e-02, 2.67040000e-01,\n", - " 6.20868000e+00, 1.56886000e+00, 3.67180000e-01, 1.26844000e+00,\n", - " 6.14192000e+00, 1.11489200e+01, 2.04285600e+01, 2.36998000e+00,\n", - " 1.07483600e+01, 1.44368500e+01, 1.25175000e+00, 6.50910000e-01,\n", - " 1.75245000e+00, 2.45009200e+01, 1.30849600e+01, 6.67600000e-02,\n", - " 7.51050000e-01, 1.10154000e+00, 4.67320000e-01, 2.13632000e+00,\n", - " 9.68020000e-01, 1.66900000e+00, 1.85259000e+00, 9.86379000e+00,\n", - " 2.31991000e+00, 1.33520000e-01, 2.80392000e+00, 4.42285000e+00,\n", - " 2.65371000e+00, 2.31991000e+00, 1.50210000e-01, 1.28513000e+00,\n", - " 7.84430000e-01, 2.83730000e-01, 1.50210000e-01, 1.23339100e+01,\n", - " 9.01260000e-01, 3.50490000e-01, 1.16830000e+00, 2.23646000e+00,\n", - " 1.32017900e+01, 7.37698000e+00, 1.15161000e+00, 1.60224000e+00,\n", - " 6.47572000e+00, 9.17950000e-01, 1.56886000e+00, 5.00700000e+00,\n", - " 4.23926000e+00, 6.17530000e-01, 7.69409000e+00, 7.00980000e-01,\n", - " 1.53214200e+01, 8.17810000e-01, 2.45343000e+00, 1.16830000e-01,\n", - " 8.34500000e-02, 2.16970000e-01, 1.26844000e+00, 8.51190000e-01,\n", - " 1.36858000e+00, 7.51050000e-01, 5.84150000e-01, 7.17670000e-01,\n", - " 2.52019000e+00, 8.67880000e-01, 3.50490000e-01, 3.33800000e+00,\n", - " 2.83730000e-01, 1.07149800e+01, 2.58695000e+00, 2.63702000e+00,\n", - " 6.17530000e-01, 9.68020000e-01, 3.67180000e-01, 1.19166600e+01,\n", - " 4.67320000e-01, 2.16970000e-01, 2.48681000e+00, 2.20975600e+01,\n", - " 3.33800000e-01, 5.34080000e-01, 6.67600000e-02, 1.02142800e+01,\n", - " 1.66900000e-01, 2.30322000e+00, 3.33800000e-01, 9.19619000e+00,\n", - " 3.73856000e+00, 1.50210000e-01, 3.33800000e-02, 6.17530000e+00,\n", - " 1.16830000e-01, 1.01809000e+00, 3.40476000e+00, 9.01260000e-01,\n", - " 4.12243000e+00, 1.38527000e+00, 2.93744000e+00, 4.67320000e-01,\n", - " 8.67880000e-01, 1.50210000e-01, 1.27010900e+01, 1.30182000e+01,\n", - " 2.82061000e+00, 6.92635000e+00, 1.42198800e+01, 5.50770000e-01,\n", - " 8.34500000e-02, 2.83730000e-01, 5.84150000e-01, 7.51050000e-01,\n", - " 2.50350000e-01, 1.00140000e-01, 5.50770000e-01, 1.33520000e+00,\n", - " 1.85259000e+00, 5.50770000e-01, 3.00420000e-01, 2.83730000e-01,\n", - " 3.83870000e-01, 5.00700000e-02, 1.23506000e+00, 6.34220000e-01,\n", - " 3.00420000e-01, 1.55217000e+00, 1.33520000e-01, 2.38667000e+00,\n", - " 4.07236000e+00, 1.48541000e+00, 3.87208000e+00, 7.02649000e+00,\n", - " 2.21977000e+00, 1.06816000e+01, 1.16830000e+00, 2.05287000e+00,\n", - " 4.00560000e+00, 1.61893000e+00, 7.67740000e-01, 9.68020000e-01,\n", - " 4.33940000e-01, 5.50770000e-01, 1.66900000e-02, 6.17530000e-01,\n", - " 2.83730000e-01, 1.50210000e-01, 6.84290000e-01, 3.12103000e+00,\n", - " 7.34360000e-01, 6.00840000e-01, 2.50350000e-01, 1.08485000e+00,\n", - " 7.14332000e+00, 3.02089000e+00, 8.17810000e-01, 1.98611000e+00,\n", - " 5.84150000e-01, 1.46872000e+01, 1.03478000e+00, 4.99031000e+00,\n", - " 1.00140000e+00, 1.26844000e+00, 5.17390000e-01, 1.46872000e+00,\n", - " 7.67740000e-01, 5.50770000e-01, 1.86928000e+00, 1.00140000e-01,\n", - " 3.00420000e-01, 7.84430000e-01, 5.84150000e-01, 7.67740000e-01,\n", - " 2.16970000e-01, 1.11823000e+00, 6.67600000e+00, 1.91935000e+00,\n", - " 3.02089000e+00, 1.81921000e+00, 1.05147000e+00, 2.30322000e+00,\n", - " 7.69409000e+00, 5.85819000e+00, 4.33940000e-01, 1.73576000e+00,\n", - " 8.84570000e-01, 1.15161000e+00, 2.60364000e+00, 4.95693000e+00,\n", - " 5.00700000e-02, 8.34500000e-02, 5.89157000e+00, 6.07516000e+00,\n", - " 9.34640000e-01, 1.16830000e-01, 6.50910000e-01, 4.33940000e-01,\n", - " 5.00700000e-02, 1.16830000e-01, 5.00700000e-01, 5.84150000e-01,\n", - " 6.62593000e+00, 3.20448000e+00, 3.50490000e-01, 9.84710000e-01,\n", - " 6.87628000e+00, 4.00560000e-01, 1.24841200e+01, 6.00840000e-01,\n", - " 8.99591000e+00, 8.17810000e-01, 3.55497000e+00, 6.67600000e-02,\n", - " 2.16970000e-01, 5.67460000e-01, 2.33660000e-01, 3.78863000e+00,\n", - " 2.30322000e+00, 1.81921000e+00, 2.67040000e-01, 7.17670000e-01,\n", - " 5.00700000e-02, 3.07096000e+00, 8.51190000e-01, 1.00140000e-01,\n", - " 1.40196000e+00, 4.89017000e+00, 1.73576000e+00, 1.66900000e-02,\n", - " 7.24346000e+00, 5.00700000e-01, 5.10714000e+00, 8.34500000e-02,\n", - " 5.00700000e-02, 6.50910000e-01, 3.03758000e+00, 4.67320000e-01,\n", - " 1.26844000e+00, 2.95413000e+00, 1.50210000e-01, 2.00280000e-01,\n", - " 1.05480800e+01, 6.67600000e-02, 6.67600000e-02, 5.34080000e-01,\n", - " 6.17530000e-01, 5.34080000e-01, 1.83590000e-01, 9.01260000e-01,\n", - " 7.67740000e-01, 1.06816000e+00, 8.01120000e-01, 2.30322000e+00,\n", - " 4.15581000e+00, 3.17110000e-01, 1.66900000e-01, 4.33940000e-01,\n", - " 7.17670000e-01, 7.34360000e-01, 2.40336000e+00, 2.83730000e-01,\n", - " 1.50210000e-01, 8.17810000e-01, 4.25595000e+00, 1.38527000e+00,\n", - " 7.84430000e-01, 2.95746800e+01, 3.33800000e-02, 3.67180000e-01,\n", - " 3.50490000e-01, 1.00140000e-01, 1.16830000e-01, 1.50210000e-01,\n", - " 1.33520000e-01, 9.68020000e-01, 2.33660000e-01, 3.10434000e+00,\n", - " 1.60557800e+01, 9.17950000e-01, 3.17110000e-01, 1.08485000e+00,\n", - " 5.79143000e+00, 4.50630000e-01, 2.83730000e-01, 1.25175000e+00,\n", - " 2.50350000e-01, 1.45203000e+00, 2.47012000e+00, 2.01949000e+00,\n", - " 1.83590000e-01, 9.34640000e-01, 6.50910000e-01, 4.84010000e-01,\n", - " 7.84430000e-01, 4.37278000e+00, 9.34640000e-01, 1.51879000e+00,\n", - " 2.47012000e+00, 3.00420000e+00, 2.33660000e-01, 6.67600000e-01,\n", - " 2.77054000e+00, 2.53688000e+00, 9.04598000e+00, 2.16970000e-01,\n", - " 3.32131000e+00, 4.00560000e-01, 9.84710000e-01, 1.38527000e+00,\n", - " 3.33800000e-01, 1.38527000e+00, 5.00700000e-01, 4.17250000e-01,\n", - " 1.16830000e+00, 1.31851000e+00, 3.00420000e-01, 1.33520000e-01,\n", - " 1.06816000e+00, 1.88597000e+00, 1.18499000e+00, 7.84430000e-01,\n", - " 4.50630000e-01, 5.00700000e-02, 1.90266000e+00, 5.35749000e+00,\n", - " 7.17670000e-01, 3.67180000e-01, 1.66900000e-02, 1.10154000e+00,\n", - " 7.84430000e-01, 2.50350000e-01, 3.00420000e-01, 1.31851000e+00,\n", - " 4.00560000e-01, 8.54528000e+00, 7.84430000e-01, 3.00420000e-01,\n", - " 0.00000000e+00, 1.70238000e+00, 4.00560000e-01, 5.34080000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 3.68252185e+02, -2.52731782e+03, -5.35286477e+01, -9.39380047e+01,\n", - " -3.72370928e+01, 0.00000000e+00, -1.62026190e+02, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 6.02330000e-01, 2.81387000e+00, 5.49289000e+00, 3.89267000e+00,\n", - " 2.06770000e-01, 3.77580000e-01, 2.51720000e-01, 5.30410000e-01,\n", - " 8.72030000e-01, 1.34850000e-01, 5.30410000e-01, 4.22530000e-01,\n", - " 9.45748000e+00, 3.59600000e-02, 1.25860000e-01, 8.09100000e-02,\n", - " 4.71975000e+00, 3.39822000e+00, 5.12430000e-01, 8.00110000e-01,\n", - " 1.88790000e-01, 9.88900000e-02, 5.39400000e-02, 0.00000000e+00,\n", - " 1.79800000e-01, 5.93340000e-01, 4.49500000e-02, 3.46115000e+00,\n", - " 6.74250000e-01, 2.77791000e+00, 1.47436000e+00, 1.12375000e+00,\n", - " 1.24062000e+00, 5.39400000e-02, 0.00000000e+00, 6.29300000e-02,\n", - " 7.01220000e-01, 3.23640000e-01, 1.61820000e-01, 1.16870000e-01,\n", - " 4.04550000e-01, 3.77580000e-01, 1.01587000e+00, 2.13962000e+00,\n", - " 3.41620000e-01, 3.55105000e+00, 1.12375000e+00, 4.52197000e+00,\n", - " 5.66370000e-01, 1.58044200e+01, 9.88900000e-02, 1.25860000e-01,\n", - " 4.13540000e-01, 2.96670000e-01, 6.65260000e-01, 1.61820000e-01,\n", - " 5.93340000e-01, 4.72874000e+00, 8.20787000e+00, 2.20255000e+00,\n", - " 1.53729000e+00, 1.34850000e+00, 5.39400000e-01, 2.30144000e+00,\n", - " 2.78690000e-01, 2.24750000e-01, 2.19356000e+00, 1.86992000e+00,\n", - " 8.99000000e-02, 0.00000000e+00, 4.13540000e-01, 4.22530000e-01,\n", - " 3.59600000e-02, 9.88900000e-02, 7.55160000e-01, 1.54628000e+00,\n", - " 9.16980000e-01, 2.96670000e-01, 3.05660000e-01, 2.26548000e+00,\n", - " 5.26814000e+00, 4.68379000e+00, 1.02486000e+00, 1.65416000e+00,\n", - " 1.93285000e+00, 2.15760000e+00, 2.42730000e-01, 5.03440000e-01,\n", - " 8.99000000e-02, 1.07880000e-01, 1.61820000e-01, 0.00000000e+00,\n", - " 4.49500000e-02, 1.25860000e-01, 1.82497000e+00, 4.76470000e-01,\n", - " 5.39400000e-02, 0.00000000e+00, 1.34850000e-01, 1.46537000e+00,\n", - " 1.16870000e+00, 4.17136000e+00, 5.46592000e+00, 1.01587000e+00,\n", - " 1.61820000e-01, 8.09100000e-02, 4.22530000e-01, 8.09100000e-02,\n", - " 2.41831000e+00, 1.87891000e+00, 5.75360000e-01, 4.67480000e-01,\n", - " 4.89955000e+00, 9.88900000e-01, 0.00000000e+00, 2.36437000e+00,\n", - " 1.55527000e+00, 7.67746000e+00, 1.24062000e+00, 3.67691000e+00,\n", - " 7.64150000e-01, 1.04284000e+00, 2.84983000e+00, 4.78268000e+00,\n", - " 4.27924000e+00, 8.56747000e+00, 1.27658000e+00, 5.48390000e-01,\n", - " 3.64095000e+00, 4.51298000e+00, 1.53729000e+00, 8.45060000e-01,\n", - " 1.79800000e-01, 7.19200000e-01, 1.33951000e+00, 9.34960000e-01,\n", - " 7.91120000e-01, 2.33740000e+00, 6.65260000e-01, 2.24750000e-01,\n", - " 4.46803000e+00, 3.80277000e+00, 3.33529000e+00, 3.48812000e+00,\n", - " 5.30410000e-01, 6.02330000e-01, 1.16870000e-01, 3.14650000e-01,\n", - " 6.47280000e-01, 1.24062000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 8.92707000e+00, 1.29815600e+01, 2.81836500e+01, 7.37180000e-01,\n", - " 8.09100000e-01, 4.40510000e-01, 9.88900000e-02, 1.07880000e-01,\n", - " 2.69700000e-01, 2.33740000e-01, 1.44739000e+00, 1.32153000e+00,\n", - " 1.24062000e+00, 3.59600000e-01, 9.31364000e+00, 1.70540300e+01,\n", - " 2.60710000e-01, 2.24750000e-01, 6.02330000e-01, 2.42730000e-01,\n", - " 2.69700000e-01, 6.38290000e-01, 1.20466000e+00, 4.31520000e-01,\n", - " 6.11320000e-01, 6.29300000e-01, 8.09100000e-02, 1.53729000e+00,\n", - " 1.97780000e-01, 4.76470000e-01, 5.66370000e-01, 1.46537000e+00,\n", - " 1.14173000e+00, 9.88900000e-02, 1.69911000e+00, 5.12430000e-01,\n", - " 3.68590000e-01, 4.04550000e-01, 9.52940000e-01, 4.85460000e-01,\n", - " 1.05183000e+00, 5.39400000e-02, 4.94450000e-01, 3.05660000e-01,\n", - " 4.31520000e-01, 1.52830000e-01, 1.76114100e+01, 4.49500000e-01,\n", - " 3.95560000e-01, 1.79800000e+01, 6.47280000e-01, 1.16870000e-01,\n", - " 0.00000000e+00, 1.16870000e-01, 5.39400000e-02, 4.49500000e-01,\n", - " 6.20310000e-01, 1.25860000e-01, 4.76470000e-01, 5.93340000e+00,\n", - " 3.78479000e+00, 4.57591000e+00, 1.59662400e+01, 1.38625800e+01,\n", - " 3.77580000e-01, 2.15760000e-01, 3.63196000e+00, 2.33740000e+00,\n", - " 7.90221000e+00, 5.60976000e+00, 8.09100000e-02, 1.97780000e+00,\n", - " 5.66370000e-01, 8.02807000e+00, 4.49500000e-02, 6.29300000e-02,\n", - " 9.88900000e-02, 4.49500000e-02, 2.83185000e+00, 2.23851000e+00,\n", - " 2.24750000e+00, 7.05715000e+00, 3.68590000e-01, 8.99000000e-02,\n", - " 3.51509000e+00, 1.16870000e-01, 3.68590000e-01, 5.67269000e+00,\n", - " 3.86570000e-01, 3.59600000e-01, 3.41620000e-01, 3.95560000e-01,\n", - " 2.06770000e-01, 4.59389000e+00, 2.60710000e+00, 8.09100000e-01,\n", - " 1.23163000e+00, 4.31520000e-01, 8.09100000e-02, 2.30144000e+00,\n", - " 1.43840000e+00, 3.28135000e+00, 3.23640000e-01, 5.75360000e-01,\n", - " 2.06770000e-01, 3.32630000e-01, 6.74250000e-01, 2.58013000e+00,\n", - " 7.28190000e-01, 2.65205000e+00, 1.01587000e+00, 3.77580000e-01,\n", - " 7.91120000e-01, 1.35749000e+00, 2.26548000e+00, 6.18512000e+00,\n", - " 6.92230000e-01, 3.28135000e+00, 3.05660000e-01, 2.96670000e-01,\n", - " 8.09100000e-01, 1.64517000e+00, 6.29300000e-01, 1.86992000e+00,\n", - " 1.25860000e-01, 4.22530000e-01, 2.33740000e+00, 1.22264000e+00,\n", - " 1.52830000e-01, 2.78690000e-01, 9.79910000e-01, 5.66370000e-01,\n", - " 1.06981000e+00, 7.19200000e-01, 9.88900000e-02, 3.14650000e-01,\n", - " 7.19200000e-02, 8.99000000e-03, 3.64994000e+00, 4.88157000e+00,\n", - " 2.33740000e-01, 1.70810000e-01, 1.07969900e+01, 4.87258000e+00,\n", - " 9.25970000e-01, 3.64994000e+00, 5.66370000e-01, 1.90588000e+00,\n", - " 2.51720000e-01, 2.24750000e-01, 2.54417000e+00, 3.05660000e-01,\n", - " 1.16870000e-01, 1.77103000e+00, 9.97890000e-01, 4.67480000e-01,\n", - " 4.11742000e+00, 1.43840000e-01, 3.32630000e-01, 1.70810000e-01,\n", - " 2.42730000e-01, 8.99000000e-02, 5.61875000e+00, 2.93074000e+00,\n", - " 3.32630000e-01, 1.52830000e-01, 2.39134000e+00, 2.51720000e-01,\n", - " 1.19567000e+00, 8.99000000e-03, 1.10577000e+00, 1.42042000e+00,\n", - " 4.04550000e-01, 1.33951000e+00, 2.24750000e-01, 7.14705000e+00,\n", - " 3.05660000e-01, 2.96670000e-01, 2.78690000e-01, 1.02845600e+01,\n", - " 3.14650000e-01, 7.46170000e-01, 8.09100000e-02, 4.49500000e-02,\n", - " 2.49023000e+00, 8.90010000e-01, 7.19200000e-02, 0.00000000e+00,\n", - " 3.16448000e+00, 1.63618000e+00, 4.71076000e+00, 2.04972000e+00,\n", - " 5.39400000e-02, 3.59600000e-02, 2.69700000e-01, 1.22264000e+00,\n", - " 1.44739000e+00, 2.24750000e-01, 0.00000000e+00, 8.09100000e-02,\n", - " 8.45060000e-01, 1.61820000e-01, 2.87680000e-01, 4.76470000e-01,\n", - " 3.15549000e+00, 2.06770000e+00, 6.29300000e-02, 2.15760000e-01,\n", - " 1.16870000e-01, 8.99000000e-02, 8.99000000e-02, 2.69700000e-01,\n", - " 2.69700000e-01, 3.46115000e+00, 3.29933000e+00, 2.51720000e-01,\n", - " 3.50610000e-01, 1.34850000e-01, 9.88900000e-02, 2.96670000e-01,\n", - " 8.99000000e-02, 8.99000000e-02, 6.11320000e-01, 4.67480000e-01,\n", - " 6.38290000e-01, 8.00110000e-01, 6.82341000e+00, 1.40244000e+00,\n", - " 1.24062000e+00, 1.29456000e+00, 2.41831000e+00, 1.79800000e-01,\n", - " 1.16870000e+00, 3.33529000e+00, 2.33740000e-01, 9.49344000e+00,\n", - " 7.11109000e+00, 4.36015000e+00, 4.85460000e-01, 1.34850000e-01,\n", - " 7.95615000e+00, 2.01376000e+00, 3.35327000e+00, 7.37180000e-01,\n", - " 1.70810000e-01, 2.75094000e+00, 2.21154000e+00, 8.99000000e-02,\n", - " 3.59600000e-02, 2.69700000e-02, 8.09100000e-01, 3.59600000e-02,\n", - " 3.74883000e+00, 8.03706000e+00, 3.59600000e-01, 7.37180000e-01,\n", - " 1.65416000e+00, 4.49500000e-02, 2.06770000e-01, 2.42730000e+00,\n", - " 2.60710000e-01, 4.31520000e-01, 9.25970000e-01, 5.04339000e+00,\n", - " 2.77791000e+00, 5.75360000e-01, 9.07990000e-01, 1.20466000e+00,\n", - " 1.34850000e-01, 6.11320000e-01, 7.73140000e-01, 3.23640000e-01,\n", - " 4.49500000e-02, 4.85460000e-01, 2.33740000e-01, 2.24750000e-01,\n", - " 5.12430000e-01, 6.38290000e-01, 9.43950000e-01, 2.51720000e-01,\n", - " 2.69700000e-02, 3.41620000e-01, 4.34217000e+00, 2.42730000e-01,\n", - " 2.12164000e+00, 2.15760000e-01, 7.73140000e-01, 4.40510000e+00,\n", - " 6.91331000e+00, 1.54628000e+00, 2.94872000e+00, 3.41620000e-01,\n", - " 3.14650000e-01, 2.24750000e-01, 1.64517000e+00, 2.69700000e-01,\n", - " 2.87680000e-01, 1.61820000e-01, 4.49500000e-01, 4.31520000e-01,\n", - " 4.58490000e+00, 1.32153000e+00, 5.21420000e-01, 8.99000000e-03,\n", - " 4.40510000e-01, 1.66315000e+00, 1.91487000e+00, 1.79800000e+00,\n", - " 1.70810000e-01, 6.65260000e-01, 1.25860000e+00, 2.24750000e-01,\n", - " 5.66370000e-01, 3.41620000e-01, 1.52830000e-01, 2.51720000e-01,\n", - " 5.48390000e-01, 4.22530000e-01, 3.68590000e-01, 7.19200000e-02,\n", - " 2.70599000e+00, 3.44317000e+00, 1.34850000e-01, 1.43840000e-01,\n", - " 3.14650000e-01, 1.00508200e+01, 5.43895000e+00, 1.16870000e-01,\n", - " 3.83873000e+00, 1.99578000e+00, 8.99000000e-03, 3.86570000e-01,\n", - " 2.15760000e-01, 1.83396000e+00, 2.69700000e+00, 3.70388000e+00,\n", - " 2.51720000e-01, 7.20099000e+00, 1.23163000e+00, 5.21420000e+00,\n", - " 6.74250000e-01, 9.43950000e-01, 4.01853000e+00, 3.03862000e+00,\n", - " 1.24961000e+00, 1.42941000e+00, 0.00000000e+00, 8.99000000e-01,\n", - " 8.00110000e-01, 1.07880000e-01, 5.39400000e-02, 9.88900000e-02,\n", - " 1.52830000e-01, 2.87680000e-01, 5.93340000e-01, 4.04550000e-01,\n", - " 3.41620000e-01, 1.60921000e+00, 1.75305000e+00, 3.59600000e-02,\n", - " 3.50610000e-01, 4.85460000e-01, 2.15760000e-01, 3.32630000e-01,\n", - " 1.79800000e-01, 5.84350000e-01, 1.50133000e+00, 2.15760000e-01,\n", - " 1.70810000e-01, 9.85304000e+00, 3.86570000e-01, 3.32630000e-01,\n", - " 2.87680000e-01, 1.84295000e+00, 4.22530000e-01, 1.52830000e-01,\n", - " 1.29456000e+00, 3.41620000e-01, 2.38235000e+00, 6.29300000e-01,\n", - " 5.38501000e+00, 3.89267000e+00, 3.68590000e+00, 3.32630000e-01,\n", - " 3.59600000e-02, 4.22530000e-01, 9.88900000e-02, 2.42730000e-01,\n", - " 4.99844000e+00, 2.60710000e-01, 2.69700000e-02, 1.43840000e-01,\n", - " 3.34428000e+00, 8.45060000e-01, 1.97780000e-01, 6.83240000e-01,\n", - " 3.30832000e+00, 6.00532000e+00, 1.10037600e+01, 1.27658000e+00,\n", - " 5.78956000e+00, 7.77635000e+00, 6.74250000e-01, 3.50610000e-01,\n", - " 9.43950000e-01, 1.31973200e+01, 7.04816000e+00, 3.59600000e-02,\n", - " 4.04550000e-01, 5.93340000e-01, 2.51720000e-01, 1.15072000e+00,\n", - " 5.21420000e-01, 8.99000000e-01, 9.97890000e-01, 5.31309000e+00,\n", - " 1.24961000e+00, 7.19200000e-02, 1.51032000e+00, 2.38235000e+00,\n", - " 1.42941000e+00, 1.24961000e+00, 8.09100000e-02, 6.92230000e-01,\n", - " 4.22530000e-01, 1.52830000e-01, 8.09100000e-02, 6.64361000e+00,\n", - " 4.85460000e-01, 1.88790000e-01, 6.29300000e-01, 1.20466000e+00,\n", - " 7.11109000e+00, 3.97358000e+00, 6.20310000e-01, 8.63040000e-01,\n", - " 3.48812000e+00, 4.94450000e-01, 8.45060000e-01, 2.69700000e+00,\n", - " 2.28346000e+00, 3.32630000e-01, 4.14439000e+00, 3.77580000e-01,\n", - " 8.25282000e+00, 4.40510000e-01, 1.32153000e+00, 6.29300000e-02,\n", - " 4.49500000e-02, 1.16870000e-01, 6.83240000e-01, 4.58490000e-01,\n", - " 7.37180000e-01, 4.04550000e-01, 3.14650000e-01, 3.86570000e-01,\n", - " 1.35749000e+00, 4.67480000e-01, 1.88790000e-01, 1.79800000e+00,\n", - " 1.52830000e-01, 5.77158000e+00, 1.39345000e+00, 1.42042000e+00,\n", - " 3.32630000e-01, 5.21420000e-01, 1.97780000e-01, 6.41886000e+00,\n", - " 2.51720000e-01, 1.16870000e-01, 1.33951000e+00, 1.19027600e+01,\n", - " 1.79800000e-01, 2.87680000e-01, 3.59600000e-02, 5.50188000e+00,\n", - " 8.99000000e-02, 1.24062000e+00, 1.79800000e-01, 4.95349000e+00,\n", - " 2.01376000e+00, 8.09100000e-02, 1.79800000e-02, 3.32630000e+00,\n", - " 6.29300000e-02, 5.48390000e-01, 1.83396000e+00, 4.85460000e-01,\n", - " 2.22053000e+00, 7.46170000e-01, 1.58224000e+00, 2.51720000e-01,\n", - " 4.67480000e-01, 8.09100000e-02, 6.84139000e+00, 7.01220000e+00,\n", - " 1.51931000e+00, 3.73085000e+00, 7.65948000e+00, 2.96670000e-01,\n", - " 4.49500000e-02, 1.52830000e-01, 3.14650000e-01, 4.04550000e-01,\n", - " 1.34850000e-01, 5.39400000e-02, 2.96670000e-01, 7.19200000e-01,\n", - " 9.97890000e-01, 2.96670000e-01, 1.61820000e-01, 1.52830000e-01,\n", - " 2.06770000e-01, 2.69700000e-02, 6.65260000e-01, 3.41620000e-01,\n", - " 1.61820000e-01, 8.36070000e-01, 7.19200000e-02, 1.28557000e+00,\n", - " 2.19356000e+00, 8.00110000e-01, 2.08568000e+00, 3.78479000e+00,\n", - " 1.19567000e+00, 5.75360000e+00, 6.29300000e-01, 1.10577000e+00,\n", - " 2.15760000e+00, 8.72030000e-01, 4.13540000e-01, 5.21420000e-01,\n", - " 2.33740000e-01, 2.96670000e-01, 8.99000000e-03, 3.32630000e-01,\n", - " 1.52830000e-01, 8.09100000e-02, 3.68590000e-01, 1.68113000e+00,\n", - " 3.95560000e-01, 3.23640000e-01, 1.34850000e-01, 5.84350000e-01,\n", - " 3.84772000e+00, 1.62719000e+00, 4.40510000e-01, 1.06981000e+00,\n", - " 3.14650000e-01, 7.91120000e+00, 5.57380000e-01, 2.68801000e+00,\n", - " 5.39400000e-01, 6.83240000e-01, 2.78690000e-01, 7.91120000e-01,\n", - " 4.13540000e-01, 2.96670000e-01, 1.00688000e+00, 5.39400000e-02,\n", - " 1.61820000e-01, 4.22530000e-01, 3.14650000e-01, 4.13540000e-01,\n", - " 1.16870000e-01, 6.02330000e-01, 3.59600000e+00, 1.03385000e+00,\n", - " 1.62719000e+00, 9.79910000e-01, 5.66370000e-01, 1.24062000e+00,\n", - " 4.14439000e+00, 3.15549000e+00, 2.33740000e-01, 9.34960000e-01,\n", - " 4.76470000e-01, 6.20310000e-01, 1.40244000e+00, 2.67003000e+00,\n", - " 2.69700000e-02, 4.49500000e-02, 3.17347000e+00, 3.27236000e+00,\n", - " 5.03440000e-01, 6.29300000e-02, 3.50610000e-01, 2.33740000e-01,\n", - " 2.69700000e-02, 6.29300000e-02, 2.69700000e-01, 3.14650000e-01,\n", - " 3.56903000e+00, 1.72608000e+00, 1.88790000e-01, 5.30410000e-01,\n", - " 3.70388000e+00, 2.15760000e-01, 6.72452000e+00, 3.23640000e-01,\n", - " 4.84561000e+00, 4.40510000e-01, 1.91487000e+00, 3.59600000e-02,\n", - " 1.16870000e-01, 3.05660000e-01, 1.25860000e-01, 2.04073000e+00,\n", - " 1.24062000e+00, 9.79910000e-01, 1.43840000e-01, 3.86570000e-01,\n", - " 2.69700000e-02, 1.65416000e+00, 4.58490000e-01, 5.39400000e-02,\n", - " 7.55160000e-01, 2.63407000e+00, 9.34960000e-01, 8.99000000e-03,\n", - " 3.90166000e+00, 2.69700000e-01, 2.75094000e+00, 4.49500000e-02,\n", - " 2.69700000e-02, 3.50610000e-01, 1.63618000e+00, 2.51720000e-01,\n", - " 6.83240000e-01, 1.59123000e+00, 8.09100000e-02, 1.07880000e-01,\n", - " 5.68168000e+00, 3.59600000e-02, 3.59600000e-02, 2.87680000e-01,\n", - " 3.32630000e-01, 2.87680000e-01, 9.88900000e-02, 4.85460000e-01,\n", - " 4.13540000e-01, 5.75360000e-01, 4.31520000e-01, 1.24062000e+00,\n", - " 2.23851000e+00, 1.70810000e-01, 8.99000000e-02, 2.33740000e-01,\n", - " 3.86570000e-01, 3.95560000e-01, 1.29456000e+00, 1.52830000e-01,\n", - " 8.09100000e-02, 4.40510000e-01, 2.29245000e+00, 7.46170000e-01,\n", - " 4.22530000e-01, 1.59302800e+01, 1.79800000e-02, 1.97780000e-01,\n", - " 1.88790000e-01, 5.39400000e-02, 6.29300000e-02, 8.09100000e-02,\n", - " 7.19200000e-02, 5.21420000e-01, 1.25860000e-01, 1.67214000e+00,\n", - " 8.64838000e+00, 4.94450000e-01, 1.70810000e-01, 5.84350000e-01,\n", - " 3.11953000e+00, 2.42730000e-01, 1.52830000e-01, 6.74250000e-01,\n", - " 1.34850000e-01, 7.82130000e-01, 1.33052000e+00, 1.08779000e+00,\n", - " 9.88900000e-02, 5.03440000e-01, 3.50610000e-01, 2.60710000e-01,\n", - " 4.22530000e-01, 2.35538000e+00, 5.03440000e-01, 8.18090000e-01,\n", - " 1.33052000e+00, 1.61820000e+00, 1.25860000e-01, 3.59600000e-01,\n", - " 1.49234000e+00, 1.36648000e+00, 4.87258000e+00, 1.16870000e-01,\n", - " 1.78901000e+00, 2.15760000e-01, 5.30410000e-01, 7.46170000e-01,\n", - " 1.79800000e-01, 7.46170000e-01, 2.69700000e-01, 2.24750000e-01,\n", - " 6.29300000e-01, 7.10210000e-01, 1.61820000e-01, 7.19200000e-02,\n", - " 5.75360000e-01, 1.01587000e+00, 6.38290000e-01, 4.22530000e-01,\n", - " 2.42730000e-01, 2.69700000e-02, 1.02486000e+00, 2.88579000e+00,\n", - " 3.86570000e-01, 1.97780000e-01, 8.99000000e-03, 5.93340000e-01,\n", - " 4.22530000e-01, 1.34850000e-01, 1.61820000e-01, 7.10210000e-01,\n", - " 2.15760000e-01, 4.60288000e+00, 4.22530000e-01, 1.61820000e-01,\n", - " 0.00000000e+00, 9.16980000e-01, 2.15760000e-01, 2.87680000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.14717363e+03, -2.52731782e+03, 2.67390855e+01, -5.53848382e+01,\n", - " 2.29842990e+01, 0.00000000e+00, 3.23468662e+01, 0.00000000e+00,\n", - " 0.00000000e+00, 3.72070164e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 3.20930000e-01, 1.49927000e+00, 2.92669000e+00, 2.07407000e+00,\n", - " 1.10170000e-01, 2.01180000e-01, 1.34120000e-01, 2.82610000e-01,\n", - " 4.64630000e-01, 7.18500000e-02, 2.82610000e-01, 2.25130000e-01,\n", - " 5.03908000e+00, 1.91600000e-02, 6.70600000e-02, 4.31100000e-02,\n", - " 2.51475000e+00, 1.81062000e+00, 2.73030000e-01, 4.26310000e-01,\n", - " 1.00590000e-01, 5.26900000e-02, 2.87400000e-02, 0.00000000e+00,\n", - " 9.58000000e-02, 3.16140000e-01, 2.39500000e-02, 1.84415000e+00,\n", - " 3.59250000e-01, 1.48011000e+00, 7.85560000e-01, 5.98750000e-01,\n", - " 6.61020000e-01, 2.87400000e-02, 0.00000000e+00, 3.35300000e-02,\n", - " 3.73620000e-01, 1.72440000e-01, 8.62200000e-02, 6.22700000e-02,\n", - " 2.15550000e-01, 2.01180000e-01, 5.41270000e-01, 1.14002000e+00,\n", - " 1.82020000e-01, 1.89205000e+00, 5.98750000e-01, 2.40937000e+00,\n", - " 3.01770000e-01, 8.42082000e+00, 5.26900000e-02, 6.70600000e-02,\n", - " 2.20340000e-01, 1.58070000e-01, 3.54460000e-01, 8.62200000e-02,\n", - " 3.16140000e-01, 2.51954000e+00, 4.37327000e+00, 1.17355000e+00,\n", - " 8.19090000e-01, 7.18500000e-01, 2.87400000e-01, 1.22624000e+00,\n", - " 1.48490000e-01, 1.19750000e-01, 1.16876000e+00, 9.96320000e-01,\n", - " 4.79000000e-02, 0.00000000e+00, 2.20340000e-01, 2.25130000e-01,\n", - " 1.91600000e-02, 5.26900000e-02, 4.02360000e-01, 8.23880000e-01,\n", - " 4.88580000e-01, 1.58070000e-01, 1.62860000e-01, 1.20708000e+00,\n", - " 2.80694000e+00, 2.49559000e+00, 5.46060000e-01, 8.81360000e-01,\n", - " 1.02985000e+00, 1.14960000e+00, 1.29330000e-01, 2.68240000e-01,\n", - " 4.79000000e-02, 5.74800000e-02, 8.62200000e-02, 0.00000000e+00,\n", - " 2.39500000e-02, 6.70600000e-02, 9.72370000e-01, 2.53870000e-01,\n", - " 2.87400000e-02, 0.00000000e+00, 7.18500000e-02, 7.80770000e-01,\n", - " 6.22700000e-01, 2.22256000e+00, 2.91232000e+00, 5.41270000e-01,\n", - " 8.62200000e-02, 4.31100000e-02, 2.25130000e-01, 4.31100000e-02,\n", - " 1.28851000e+00, 1.00111000e+00, 3.06560000e-01, 2.49080000e-01,\n", - " 2.61055000e+00, 5.26900000e-01, 0.00000000e+00, 1.25977000e+00,\n", - " 8.28670000e-01, 4.09066000e+00, 6.61020000e-01, 1.95911000e+00,\n", - " 4.07150000e-01, 5.55640000e-01, 1.51843000e+00, 2.54828000e+00,\n", - " 2.28004000e+00, 4.56487000e+00, 6.80180000e-01, 2.92190000e-01,\n", - " 1.93995000e+00, 2.40458000e+00, 8.19090000e-01, 4.50260000e-01,\n", - " 9.58000000e-02, 3.83200000e-01, 7.13710000e-01, 4.98160000e-01,\n", - " 4.21520000e-01, 1.24540000e+00, 3.54460000e-01, 1.19750000e-01,\n", - " 2.38063000e+00, 2.02617000e+00, 1.77709000e+00, 1.85852000e+00,\n", - " 2.82610000e-01, 3.20930000e-01, 6.22700000e-02, 1.67650000e-01,\n", - " 3.44880000e-01, 6.61020000e-01, 0.00000000e+00, 0.00000000e+00,\n", - " 4.75647000e+00, 6.91676000e+00, 1.50166500e+01, 3.92780000e-01,\n", - " 4.31100000e-01, 2.34710000e-01, 5.26900000e-02, 5.74800000e-02,\n", - " 1.43700000e-01, 1.24540000e-01, 7.71190000e-01, 7.04130000e-01,\n", - " 6.61020000e-01, 1.91600000e-01, 4.96244000e+00, 9.08663000e+00,\n", - " 1.38910000e-01, 1.19750000e-01, 3.20930000e-01, 1.29330000e-01,\n", - " 1.43700000e-01, 3.40090000e-01, 6.41860000e-01, 2.29920000e-01,\n", - " 3.25720000e-01, 3.35300000e-01, 4.31100000e-02, 8.19090000e-01,\n", - " 1.05380000e-01, 2.53870000e-01, 3.01770000e-01, 7.80770000e-01,\n", - " 6.08330000e-01, 5.26900000e-02, 9.05310000e-01, 2.73030000e-01,\n", - " 1.96390000e-01, 2.15550000e-01, 5.07740000e-01, 2.58660000e-01,\n", - " 5.60430000e-01, 2.87400000e-02, 2.63450000e-01, 1.62860000e-01,\n", - " 2.29920000e-01, 8.14300000e-02, 9.38361000e+00, 2.39500000e-01,\n", - " 2.10760000e-01, 9.58000000e+00, 3.44880000e-01, 6.22700000e-02,\n", - " 0.00000000e+00, 6.22700000e-02, 2.87400000e-02, 2.39500000e-01,\n", - " 3.30510000e-01, 6.70600000e-02, 2.53870000e-01, 3.16140000e+00,\n", - " 2.01659000e+00, 2.43811000e+00, 8.50704000e+00, 7.38618000e+00,\n", - " 2.01180000e-01, 1.14960000e-01, 1.93516000e+00, 1.24540000e+00,\n", - " 4.21041000e+00, 2.98896000e+00, 4.31100000e-02, 1.05380000e+00,\n", - " 3.01770000e-01, 4.27747000e+00, 2.39500000e-02, 3.35300000e-02,\n", - " 5.26900000e-02, 2.39500000e-02, 1.50885000e+00, 1.19271000e+00,\n", - " 1.19750000e+00, 3.76015000e+00, 1.96390000e-01, 4.79000000e-02,\n", - " 1.87289000e+00, 6.22700000e-02, 1.96390000e-01, 3.02249000e+00,\n", - " 2.05970000e-01, 1.91600000e-01, 1.82020000e-01, 2.10760000e-01,\n", - " 1.10170000e-01, 2.44769000e+00, 1.38910000e+00, 4.31100000e-01,\n", - " 6.56230000e-01, 2.29920000e-01, 4.31100000e-02, 1.22624000e+00,\n", - " 7.66400000e-01, 1.74835000e+00, 1.72440000e-01, 3.06560000e-01,\n", - " 1.10170000e-01, 1.77230000e-01, 3.59250000e-01, 1.37473000e+00,\n", - " 3.87990000e-01, 1.41305000e+00, 5.41270000e-01, 2.01180000e-01,\n", - " 4.21520000e-01, 7.23290000e-01, 1.20708000e+00, 3.29552000e+00,\n", - " 3.68830000e-01, 1.74835000e+00, 1.62860000e-01, 1.58070000e-01,\n", - " 4.31100000e-01, 8.76570000e-01, 3.35300000e-01, 9.96320000e-01,\n", - " 6.70600000e-02, 2.25130000e-01, 1.24540000e+00, 6.51440000e-01,\n", - " 8.14300000e-02, 1.48490000e-01, 5.22110000e-01, 3.01770000e-01,\n", - " 5.70010000e-01, 3.83200000e-01, 5.26900000e-02, 1.67650000e-01,\n", - " 3.83200000e-02, 4.79000000e-03, 1.94474000e+00, 2.60097000e+00,\n", - " 1.24540000e-01, 9.10100000e-02, 5.75279000e+00, 2.59618000e+00,\n", - " 4.93370000e-01, 1.94474000e+00, 3.01770000e-01, 1.01548000e+00,\n", - " 1.34120000e-01, 1.19750000e-01, 1.35557000e+00, 1.62860000e-01,\n", - " 6.22700000e-02, 9.43630000e-01, 5.31690000e-01, 2.49080000e-01,\n", - " 2.19382000e+00, 7.66400000e-02, 1.77230000e-01, 9.10100000e-02,\n", - " 1.29330000e-01, 4.79000000e-02, 2.99375000e+00, 1.56154000e+00,\n", - " 1.77230000e-01, 8.14300000e-02, 1.27414000e+00, 1.34120000e-01,\n", - " 6.37070000e-01, 4.79000000e-03, 5.89170000e-01, 7.56820000e-01,\n", - " 2.15550000e-01, 7.13710000e-01, 1.19750000e-01, 3.80805000e+00,\n", - " 1.62860000e-01, 1.58070000e-01, 1.48490000e-01, 5.47976000e+00,\n", - " 1.67650000e-01, 3.97570000e-01, 4.31100000e-02, 2.39500000e-02,\n", - " 1.32683000e+00, 4.74210000e-01, 3.83200000e-02, 0.00000000e+00,\n", - " 1.68608000e+00, 8.71780000e-01, 2.50996000e+00, 1.09212000e+00,\n", - " 2.87400000e-02, 1.91600000e-02, 1.43700000e-01, 6.51440000e-01,\n", - " 7.71190000e-01, 1.19750000e-01, 0.00000000e+00, 4.31100000e-02,\n", - " 4.50260000e-01, 8.62200000e-02, 1.53280000e-01, 2.53870000e-01,\n", - " 1.68129000e+00, 1.10170000e+00, 3.35300000e-02, 1.14960000e-01,\n", - " 6.22700000e-02, 4.79000000e-02, 4.79000000e-02, 1.43700000e-01,\n", - " 1.43700000e-01, 1.84415000e+00, 1.75793000e+00, 1.34120000e-01,\n", - " 1.86810000e-01, 7.18500000e-02, 5.26900000e-02, 1.58070000e-01,\n", - " 4.79000000e-02, 4.79000000e-02, 3.25720000e-01, 2.49080000e-01,\n", - " 3.40090000e-01, 4.26310000e-01, 3.63561000e+00, 7.47240000e-01,\n", - " 6.61020000e-01, 6.89760000e-01, 1.28851000e+00, 9.58000000e-02,\n", - " 6.22700000e-01, 1.77709000e+00, 1.24540000e-01, 5.05824000e+00,\n", - " 3.78889000e+00, 2.32315000e+00, 2.58660000e-01, 7.18500000e-02,\n", - " 4.23915000e+00, 1.07296000e+00, 1.78667000e+00, 3.92780000e-01,\n", - " 9.10100000e-02, 1.46574000e+00, 1.17834000e+00, 4.79000000e-02,\n", - " 1.91600000e-02, 1.43700000e-02, 4.31100000e-01, 1.91600000e-02,\n", - " 1.99743000e+00, 4.28226000e+00, 1.91600000e-01, 3.92780000e-01,\n", - " 8.81360000e-01, 2.39500000e-02, 1.10170000e-01, 1.29330000e+00,\n", - " 1.38910000e-01, 2.29920000e-01, 4.93370000e-01, 2.68719000e+00,\n", - " 1.48011000e+00, 3.06560000e-01, 4.83790000e-01, 6.41860000e-01,\n", - " 7.18500000e-02, 3.25720000e-01, 4.11940000e-01, 1.72440000e-01,\n", - " 2.39500000e-02, 2.58660000e-01, 1.24540000e-01, 1.19750000e-01,\n", - " 2.73030000e-01, 3.40090000e-01, 5.02950000e-01, 1.34120000e-01,\n", - " 1.43700000e-02, 1.82020000e-01, 2.31357000e+00, 1.29330000e-01,\n", - " 1.13044000e+00, 1.14960000e-01, 4.11940000e-01, 2.34710000e+00,\n", - " 3.68351000e+00, 8.23880000e-01, 1.57112000e+00, 1.82020000e-01,\n", - " 1.67650000e-01, 1.19750000e-01, 8.76570000e-01, 1.43700000e-01,\n", - " 1.53280000e-01, 8.62200000e-02, 2.39500000e-01, 2.29920000e-01,\n", - " 2.44290000e+00, 7.04130000e-01, 2.77820000e-01, 4.79000000e-03,\n", - " 2.34710000e-01, 8.86150000e-01, 1.02027000e+00, 9.58000000e-01,\n", - " 9.10100000e-02, 3.54460000e-01, 6.70600000e-01, 1.19750000e-01,\n", - " 3.01770000e-01, 1.82020000e-01, 8.14300000e-02, 1.34120000e-01,\n", - " 2.92190000e-01, 2.25130000e-01, 1.96390000e-01, 3.83200000e-02,\n", - " 1.44179000e+00, 1.83457000e+00, 7.18500000e-02, 7.66400000e-02,\n", - " 1.67650000e-01, 5.35522000e+00, 2.89795000e+00, 6.22700000e-02,\n", - " 2.04533000e+00, 1.06338000e+00, 4.79000000e-03, 2.05970000e-01,\n", - " 1.14960000e-01, 9.77160000e-01, 1.43700000e+00, 1.97348000e+00,\n", - " 1.34120000e-01, 3.83679000e+00, 6.56230000e-01, 2.77820000e+00,\n", - " 3.59250000e-01, 5.02950000e-01, 2.14113000e+00, 1.61902000e+00,\n", - " 6.65810000e-01, 7.61610000e-01, 0.00000000e+00, 4.79000000e-01,\n", - " 4.26310000e-01, 5.74800000e-02, 2.87400000e-02, 5.26900000e-02,\n", - " 8.14300000e-02, 1.53280000e-01, 3.16140000e-01, 2.15550000e-01,\n", - " 1.82020000e-01, 8.57410000e-01, 9.34050000e-01, 1.91600000e-02,\n", - " 1.86810000e-01, 2.58660000e-01, 1.14960000e-01, 1.77230000e-01,\n", - " 9.58000000e-02, 3.11350000e-01, 7.99930000e-01, 1.14960000e-01,\n", - " 9.10100000e-02, 5.24984000e+00, 2.05970000e-01, 1.77230000e-01,\n", - " 1.53280000e-01, 9.81950000e-01, 2.25130000e-01, 8.14300000e-02,\n", - " 6.89760000e-01, 1.82020000e-01, 1.26935000e+00, 3.35300000e-01,\n", - " 2.86921000e+00, 2.07407000e+00, 1.96390000e+00, 1.77230000e-01,\n", - " 1.91600000e-02, 2.25130000e-01, 5.26900000e-02, 1.29330000e-01,\n", - " 2.66324000e+00, 1.38910000e-01, 1.43700000e-02, 7.66400000e-02,\n", - " 1.78188000e+00, 4.50260000e-01, 1.05380000e-01, 3.64040000e-01,\n", - " 1.76272000e+00, 3.19972000e+00, 5.86296000e+00, 6.80180000e-01,\n", - " 3.08476000e+00, 4.14335000e+00, 3.59250000e-01, 1.86810000e-01,\n", - " 5.02950000e-01, 7.03172000e+00, 3.75536000e+00, 1.91600000e-02,\n", - " 2.15550000e-01, 3.16140000e-01, 1.34120000e-01, 6.13120000e-01,\n", - " 2.77820000e-01, 4.79000000e-01, 5.31690000e-01, 2.83089000e+00,\n", - " 6.65810000e-01, 3.83200000e-02, 8.04720000e-01, 1.26935000e+00,\n", - " 7.61610000e-01, 6.65810000e-01, 4.31100000e-02, 3.68830000e-01,\n", - " 2.25130000e-01, 8.14300000e-02, 4.31100000e-02, 3.53981000e+00,\n", - " 2.58660000e-01, 1.00590000e-01, 3.35300000e-01, 6.41860000e-01,\n", - " 3.78889000e+00, 2.11718000e+00, 3.30510000e-01, 4.59840000e-01,\n", - " 1.85852000e+00, 2.63450000e-01, 4.50260000e-01, 1.43700000e+00,\n", - " 1.21666000e+00, 1.77230000e-01, 2.20819000e+00, 2.01180000e-01,\n", - " 4.39722000e+00, 2.34710000e-01, 7.04130000e-01, 3.35300000e-02,\n", - " 2.39500000e-02, 6.22700000e-02, 3.64040000e-01, 2.44290000e-01,\n", - " 3.92780000e-01, 2.15550000e-01, 1.67650000e-01, 2.05970000e-01,\n", - " 7.23290000e-01, 2.49080000e-01, 1.00590000e-01, 9.58000000e-01,\n", - " 8.14300000e-02, 3.07518000e+00, 7.42450000e-01, 7.56820000e-01,\n", - " 1.77230000e-01, 2.77820000e-01, 1.05380000e-01, 3.42006000e+00,\n", - " 1.34120000e-01, 6.22700000e-02, 7.13710000e-01, 6.34196000e+00,\n", - " 9.58000000e-02, 1.53280000e-01, 1.91600000e-02, 2.93148000e+00,\n", - " 4.79000000e-02, 6.61020000e-01, 9.58000000e-02, 2.63929000e+00,\n", - " 1.07296000e+00, 4.31100000e-02, 9.58000000e-03, 1.77230000e+00,\n", - " 3.35300000e-02, 2.92190000e-01, 9.77160000e-01, 2.58660000e-01,\n", - " 1.18313000e+00, 3.97570000e-01, 8.43040000e-01, 1.34120000e-01,\n", - " 2.49080000e-01, 4.31100000e-02, 3.64519000e+00, 3.73620000e+00,\n", - " 8.09510000e-01, 1.98785000e+00, 4.08108000e+00, 1.58070000e-01,\n", - " 2.39500000e-02, 8.14300000e-02, 1.67650000e-01, 2.15550000e-01,\n", - " 7.18500000e-02, 2.87400000e-02, 1.58070000e-01, 3.83200000e-01,\n", - " 5.31690000e-01, 1.58070000e-01, 8.62200000e-02, 8.14300000e-02,\n", - " 1.10170000e-01, 1.43700000e-02, 3.54460000e-01, 1.82020000e-01,\n", - " 8.62200000e-02, 4.45470000e-01, 3.83200000e-02, 6.84970000e-01,\n", - " 1.16876000e+00, 4.26310000e-01, 1.11128000e+00, 2.01659000e+00,\n", - " 6.37070000e-01, 3.06560000e+00, 3.35300000e-01, 5.89170000e-01,\n", - " 1.14960000e+00, 4.64630000e-01, 2.20340000e-01, 2.77820000e-01,\n", - " 1.24540000e-01, 1.58070000e-01, 4.79000000e-03, 1.77230000e-01,\n", - " 8.14300000e-02, 4.31100000e-02, 1.96390000e-01, 8.95730000e-01,\n", - " 2.10760000e-01, 1.72440000e-01, 7.18500000e-02, 3.11350000e-01,\n", - " 2.05012000e+00, 8.66990000e-01, 2.34710000e-01, 5.70010000e-01,\n", - " 1.67650000e-01, 4.21520000e+00, 2.96980000e-01, 1.43221000e+00,\n", - " 2.87400000e-01, 3.64040000e-01, 1.48490000e-01, 4.21520000e-01,\n", - " 2.20340000e-01, 1.58070000e-01, 5.36480000e-01, 2.87400000e-02,\n", - " 8.62200000e-02, 2.25130000e-01, 1.67650000e-01, 2.20340000e-01,\n", - " 6.22700000e-02, 3.20930000e-01, 1.91600000e+00, 5.50850000e-01,\n", - " 8.66990000e-01, 5.22110000e-01, 3.01770000e-01, 6.61020000e-01,\n", - " 2.20819000e+00, 1.68129000e+00, 1.24540000e-01, 4.98160000e-01,\n", - " 2.53870000e-01, 3.30510000e-01, 7.47240000e-01, 1.42263000e+00,\n", - " 1.43700000e-02, 2.39500000e-02, 1.69087000e+00, 1.74356000e+00,\n", - " 2.68240000e-01, 3.35300000e-02, 1.86810000e-01, 1.24540000e-01,\n", - " 1.43700000e-02, 3.35300000e-02, 1.43700000e-01, 1.67650000e-01,\n", - " 1.90163000e+00, 9.19680000e-01, 1.00590000e-01, 2.82610000e-01,\n", - " 1.97348000e+00, 1.14960000e-01, 3.58292000e+00, 1.72440000e-01,\n", - " 2.58181000e+00, 2.34710000e-01, 1.02027000e+00, 1.91600000e-02,\n", - " 6.22700000e-02, 1.62860000e-01, 6.70600000e-02, 1.08733000e+00,\n", - " 6.61020000e-01, 5.22110000e-01, 7.66400000e-02, 2.05970000e-01,\n", - " 1.43700000e-02, 8.81360000e-01, 2.44290000e-01, 2.87400000e-02,\n", - " 4.02360000e-01, 1.40347000e+00, 4.98160000e-01, 4.79000000e-03,\n", - " 2.07886000e+00, 1.43700000e-01, 1.46574000e+00, 2.39500000e-02,\n", - " 1.43700000e-02, 1.86810000e-01, 8.71780000e-01, 1.34120000e-01,\n", - " 3.64040000e-01, 8.47830000e-01, 4.31100000e-02, 5.74800000e-02,\n", - " 3.02728000e+00, 1.91600000e-02, 1.91600000e-02, 1.53280000e-01,\n", - " 1.77230000e-01, 1.53280000e-01, 5.26900000e-02, 2.58660000e-01,\n", - " 2.20340000e-01, 3.06560000e-01, 2.29920000e-01, 6.61020000e-01,\n", - " 1.19271000e+00, 9.10100000e-02, 4.79000000e-02, 1.24540000e-01,\n", - " 2.05970000e-01, 2.10760000e-01, 6.89760000e-01, 8.14300000e-02,\n", - " 4.31100000e-02, 2.34710000e-01, 1.22145000e+00, 3.97570000e-01,\n", - " 2.25130000e-01, 8.48788000e+00, 9.58000000e-03, 1.05380000e-01,\n", - " 1.00590000e-01, 2.87400000e-02, 3.35300000e-02, 4.31100000e-02,\n", - " 3.83200000e-02, 2.77820000e-01, 6.70600000e-02, 8.90940000e-01,\n", - " 4.60798000e+00, 2.63450000e-01, 9.10100000e-02, 3.11350000e-01,\n", - " 1.66213000e+00, 1.29330000e-01, 8.14300000e-02, 3.59250000e-01,\n", - " 7.18500000e-02, 4.16730000e-01, 7.08920000e-01, 5.79590000e-01,\n", - " 5.26900000e-02, 2.68240000e-01, 1.86810000e-01, 1.38910000e-01,\n", - " 2.25130000e-01, 1.25498000e+00, 2.68240000e-01, 4.35890000e-01,\n", - " 7.08920000e-01, 8.62200000e-01, 6.70600000e-02, 1.91600000e-01,\n", - " 7.95140000e-01, 7.28080000e-01, 2.59618000e+00, 6.22700000e-02,\n", - " 9.53210000e-01, 1.14960000e-01, 2.82610000e-01, 3.97570000e-01,\n", - " 9.58000000e-02, 3.97570000e-01, 1.43700000e-01, 1.19750000e-01,\n", - " 3.35300000e-01, 3.78410000e-01, 8.62200000e-02, 3.83200000e-02,\n", - " 3.06560000e-01, 5.41270000e-01, 3.40090000e-01, 2.25130000e-01,\n", - " 1.29330000e-01, 1.43700000e-02, 5.46060000e-01, 1.53759000e+00,\n", - " 2.05970000e-01, 1.05380000e-01, 4.79000000e-03, 3.16140000e-01,\n", - " 2.25130000e-01, 7.18500000e-02, 8.62200000e-02, 3.78410000e-01,\n", - " 1.14960000e-01, 2.45248000e+00, 2.25130000e-01, 8.62200000e-02,\n", - " 0.00000000e+00, 4.88580000e-01, 1.14960000e-01, 1.53280000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.29945309e+03, -2.52731782e+03, 6.89135555e+01, -2.27488999e+01,\n", - " 4.35266090e+01, 0.00000000e+00, 1.31048756e+02, 2.11302809e+02,\n", - " 0.00000000e+00, 7.66621079e+01, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 2.21100000e-01, 1.03290000e+00, 2.01630000e+00, 1.42890000e+00,\n", - " 7.59000000e-02, 1.38600000e-01, 9.24000000e-02, 1.94700000e-01,\n", - " 3.20100000e-01, 4.95000000e-02, 1.94700000e-01, 1.55100000e-01,\n", - " 3.47160000e+00, 1.32000000e-02, 4.62000000e-02, 2.97000000e-02,\n", - " 1.73250000e+00, 1.24740000e+00, 1.88100000e-01, 2.93700000e-01,\n", - " 6.93000000e-02, 3.63000000e-02, 1.98000000e-02, 0.00000000e+00,\n", - " 6.60000000e-02, 2.17800000e-01, 1.65000000e-02, 1.27050000e+00,\n", - " 2.47500000e-01, 1.01970000e+00, 5.41200000e-01, 4.12500000e-01,\n", - " 4.55400000e-01, 1.98000000e-02, 0.00000000e+00, 2.31000000e-02,\n", - " 2.57400000e-01, 1.18800000e-01, 5.94000000e-02, 4.29000000e-02,\n", - " 1.48500000e-01, 1.38600000e-01, 3.72900000e-01, 7.85400000e-01,\n", - " 1.25400000e-01, 1.30350000e+00, 4.12500000e-01, 1.65990000e+00,\n", - " 2.07900000e-01, 5.80140000e+00, 3.63000000e-02, 4.62000000e-02,\n", - " 1.51800000e-01, 1.08900000e-01, 2.44200000e-01, 5.94000000e-02,\n", - " 2.17800000e-01, 1.73580000e+00, 3.01290000e+00, 8.08500000e-01,\n", - " 5.64300000e-01, 4.95000000e-01, 1.98000000e-01, 8.44800000e-01,\n", - " 1.02300000e-01, 8.25000000e-02, 8.05200000e-01, 6.86400000e-01,\n", - " 3.30000000e-02, 0.00000000e+00, 1.51800000e-01, 1.55100000e-01,\n", - " 1.32000000e-02, 3.63000000e-02, 2.77200000e-01, 5.67600000e-01,\n", - " 3.36600000e-01, 1.08900000e-01, 1.12200000e-01, 8.31600000e-01,\n", - " 1.93380000e+00, 1.71930000e+00, 3.76200000e-01, 6.07200000e-01,\n", - " 7.09500000e-01, 7.92000000e-01, 8.91000000e-02, 1.84800000e-01,\n", - " 3.30000000e-02, 3.96000000e-02, 5.94000000e-02, 0.00000000e+00,\n", - " 1.65000000e-02, 4.62000000e-02, 6.69900000e-01, 1.74900000e-01,\n", - " 1.98000000e-02, 0.00000000e+00, 4.95000000e-02, 5.37900000e-01,\n", - " 4.29000000e-01, 1.53120000e+00, 2.00640000e+00, 3.72900000e-01,\n", - " 5.94000000e-02, 2.97000000e-02, 1.55100000e-01, 2.97000000e-02,\n", - " 8.87700000e-01, 6.89700000e-01, 2.11200000e-01, 1.71600000e-01,\n", - " 1.79850000e+00, 3.63000000e-01, 0.00000000e+00, 8.67900000e-01,\n", - " 5.70900000e-01, 2.81820000e+00, 4.55400000e-01, 1.34970000e+00,\n", - " 2.80500000e-01, 3.82800000e-01, 1.04610000e+00, 1.75560000e+00,\n", - " 1.57080000e+00, 3.14490000e+00, 4.68600000e-01, 2.01300000e-01,\n", - " 1.33650000e+00, 1.65660000e+00, 5.64300000e-01, 3.10200000e-01,\n", - " 6.60000000e-02, 2.64000000e-01, 4.91700000e-01, 3.43200000e-01,\n", - " 2.90400000e-01, 8.58000000e-01, 2.44200000e-01, 8.25000000e-02,\n", - " 1.64010000e+00, 1.39590000e+00, 1.22430000e+00, 1.28040000e+00,\n", - " 1.94700000e-01, 2.21100000e-01, 4.29000000e-02, 1.15500000e-01,\n", - " 2.37600000e-01, 4.55400000e-01, 0.00000000e+00, 0.00000000e+00,\n", - " 3.27690000e+00, 4.76520000e+00, 1.03455000e+01, 2.70600000e-01,\n", - " 2.97000000e-01, 1.61700000e-01, 3.63000000e-02, 3.96000000e-02,\n", - " 9.90000000e-02, 8.58000000e-02, 5.31300000e-01, 4.85100000e-01,\n", - " 4.55400000e-01, 1.32000000e-01, 3.41880000e+00, 6.26010000e+00,\n", - " 9.57000000e-02, 8.25000000e-02, 2.21100000e-01, 8.91000000e-02,\n", - " 9.90000000e-02, 2.34300000e-01, 4.42200000e-01, 1.58400000e-01,\n", - " 2.24400000e-01, 2.31000000e-01, 2.97000000e-02, 5.64300000e-01,\n", - " 7.26000000e-02, 1.74900000e-01, 2.07900000e-01, 5.37900000e-01,\n", - " 4.19100000e-01, 3.63000000e-02, 6.23700000e-01, 1.88100000e-01,\n", - " 1.35300000e-01, 1.48500000e-01, 3.49800000e-01, 1.78200000e-01,\n", - " 3.86100000e-01, 1.98000000e-02, 1.81500000e-01, 1.12200000e-01,\n", - " 1.58400000e-01, 5.61000000e-02, 6.46470000e+00, 1.65000000e-01,\n", - " 1.45200000e-01, 6.60000000e+00, 2.37600000e-01, 4.29000000e-02,\n", - " 0.00000000e+00, 4.29000000e-02, 1.98000000e-02, 1.65000000e-01,\n", - " 2.27700000e-01, 4.62000000e-02, 1.74900000e-01, 2.17800000e+00,\n", - " 1.38930000e+00, 1.67970000e+00, 5.86080000e+00, 5.08860000e+00,\n", - " 1.38600000e-01, 7.92000000e-02, 1.33320000e+00, 8.58000000e-01,\n", - " 2.90070000e+00, 2.05920000e+00, 2.97000000e-02, 7.26000000e-01,\n", - " 2.07900000e-01, 2.94690000e+00, 1.65000000e-02, 2.31000000e-02,\n", - " 3.63000000e-02, 1.65000000e-02, 1.03950000e+00, 8.21700000e-01,\n", - " 8.25000000e-01, 2.59050000e+00, 1.35300000e-01, 3.30000000e-02,\n", - " 1.29030000e+00, 4.29000000e-02, 1.35300000e-01, 2.08230000e+00,\n", - " 1.41900000e-01, 1.32000000e-01, 1.25400000e-01, 1.45200000e-01,\n", - " 7.59000000e-02, 1.68630000e+00, 9.57000000e-01, 2.97000000e-01,\n", - " 4.52100000e-01, 1.58400000e-01, 2.97000000e-02, 8.44800000e-01,\n", - " 5.28000000e-01, 1.20450000e+00, 1.18800000e-01, 2.11200000e-01,\n", - " 7.59000000e-02, 1.22100000e-01, 2.47500000e-01, 9.47100000e-01,\n", - " 2.67300000e-01, 9.73500000e-01, 3.72900000e-01, 1.38600000e-01,\n", - " 2.90400000e-01, 4.98300000e-01, 8.31600000e-01, 2.27040000e+00,\n", - " 2.54100000e-01, 1.20450000e+00, 1.12200000e-01, 1.08900000e-01,\n", - " 2.97000000e-01, 6.03900000e-01, 2.31000000e-01, 6.86400000e-01,\n", - " 4.62000000e-02, 1.55100000e-01, 8.58000000e-01, 4.48800000e-01,\n", - " 5.61000000e-02, 1.02300000e-01, 3.59700000e-01, 2.07900000e-01,\n", - " 3.92700000e-01, 2.64000000e-01, 3.63000000e-02, 1.15500000e-01,\n", - " 2.64000000e-02, 3.30000000e-03, 1.33980000e+00, 1.79190000e+00,\n", - " 8.58000000e-02, 6.27000000e-02, 3.96330000e+00, 1.78860000e+00,\n", - " 3.39900000e-01, 1.33980000e+00, 2.07900000e-01, 6.99600000e-01,\n", - " 9.24000000e-02, 8.25000000e-02, 9.33900000e-01, 1.12200000e-01,\n", - " 4.29000000e-02, 6.50100000e-01, 3.66300000e-01, 1.71600000e-01,\n", - " 1.51140000e+00, 5.28000000e-02, 1.22100000e-01, 6.27000000e-02,\n", - " 8.91000000e-02, 3.30000000e-02, 2.06250000e+00, 1.07580000e+00,\n", - " 1.22100000e-01, 5.61000000e-02, 8.77800000e-01, 9.24000000e-02,\n", - " 4.38900000e-01, 3.30000000e-03, 4.05900000e-01, 5.21400000e-01,\n", - " 1.48500000e-01, 4.91700000e-01, 8.25000000e-02, 2.62350000e+00,\n", - " 1.12200000e-01, 1.08900000e-01, 1.02300000e-01, 3.77520000e+00,\n", - " 1.15500000e-01, 2.73900000e-01, 2.97000000e-02, 1.65000000e-02,\n", - " 9.14100000e-01, 3.26700000e-01, 2.64000000e-02, 0.00000000e+00,\n", - " 1.16160000e+00, 6.00600000e-01, 1.72920000e+00, 7.52400000e-01,\n", - " 1.98000000e-02, 1.32000000e-02, 9.90000000e-02, 4.48800000e-01,\n", - " 5.31300000e-01, 8.25000000e-02, 0.00000000e+00, 2.97000000e-02,\n", - " 3.10200000e-01, 5.94000000e-02, 1.05600000e-01, 1.74900000e-01,\n", - " 1.15830000e+00, 7.59000000e-01, 2.31000000e-02, 7.92000000e-02,\n", - " 4.29000000e-02, 3.30000000e-02, 3.30000000e-02, 9.90000000e-02,\n", - " 9.90000000e-02, 1.27050000e+00, 1.21110000e+00, 9.24000000e-02,\n", - " 1.28700000e-01, 4.95000000e-02, 3.63000000e-02, 1.08900000e-01,\n", - " 3.30000000e-02, 3.30000000e-02, 2.24400000e-01, 1.71600000e-01,\n", - " 2.34300000e-01, 2.93700000e-01, 2.50470000e+00, 5.14800000e-01,\n", - " 4.55400000e-01, 4.75200000e-01, 8.87700000e-01, 6.60000000e-02,\n", - " 4.29000000e-01, 1.22430000e+00, 8.58000000e-02, 3.48480000e+00,\n", - " 2.61030000e+00, 1.60050000e+00, 1.78200000e-01, 4.95000000e-02,\n", - " 2.92050000e+00, 7.39200000e-01, 1.23090000e+00, 2.70600000e-01,\n", - " 6.27000000e-02, 1.00980000e+00, 8.11800000e-01, 3.30000000e-02,\n", - " 1.32000000e-02, 9.90000000e-03, 2.97000000e-01, 1.32000000e-02,\n", - " 1.37610000e+00, 2.95020000e+00, 1.32000000e-01, 2.70600000e-01,\n", - " 6.07200000e-01, 1.65000000e-02, 7.59000000e-02, 8.91000000e-01,\n", - " 9.57000000e-02, 1.58400000e-01, 3.39900000e-01, 1.85130000e+00,\n", - " 1.01970000e+00, 2.11200000e-01, 3.33300000e-01, 4.42200000e-01,\n", - " 4.95000000e-02, 2.24400000e-01, 2.83800000e-01, 1.18800000e-01,\n", - " 1.65000000e-02, 1.78200000e-01, 8.58000000e-02, 8.25000000e-02,\n", - " 1.88100000e-01, 2.34300000e-01, 3.46500000e-01, 9.24000000e-02,\n", - " 9.90000000e-03, 1.25400000e-01, 1.59390000e+00, 8.91000000e-02,\n", - " 7.78800000e-01, 7.92000000e-02, 2.83800000e-01, 1.61700000e+00,\n", - " 2.53770000e+00, 5.67600000e-01, 1.08240000e+00, 1.25400000e-01,\n", - " 1.15500000e-01, 8.25000000e-02, 6.03900000e-01, 9.90000000e-02,\n", - " 1.05600000e-01, 5.94000000e-02, 1.65000000e-01, 1.58400000e-01,\n", - " 1.68300000e+00, 4.85100000e-01, 1.91400000e-01, 3.30000000e-03,\n", - " 1.61700000e-01, 6.10500000e-01, 7.02900000e-01, 6.60000000e-01,\n", - " 6.27000000e-02, 2.44200000e-01, 4.62000000e-01, 8.25000000e-02,\n", - " 2.07900000e-01, 1.25400000e-01, 5.61000000e-02, 9.24000000e-02,\n", - " 2.01300000e-01, 1.55100000e-01, 1.35300000e-01, 2.64000000e-02,\n", - " 9.93300000e-01, 1.26390000e+00, 4.95000000e-02, 5.28000000e-02,\n", - " 1.15500000e-01, 3.68940000e+00, 1.99650000e+00, 4.29000000e-02,\n", - " 1.40910000e+00, 7.32600000e-01, 3.30000000e-03, 1.41900000e-01,\n", - " 7.92000000e-02, 6.73200000e-01, 9.90000000e-01, 1.35960000e+00,\n", - " 9.24000000e-02, 2.64330000e+00, 4.52100000e-01, 1.91400000e+00,\n", - " 2.47500000e-01, 3.46500000e-01, 1.47510000e+00, 1.11540000e+00,\n", - " 4.58700000e-01, 5.24700000e-01, 0.00000000e+00, 3.30000000e-01,\n", - " 2.93700000e-01, 3.96000000e-02, 1.98000000e-02, 3.63000000e-02,\n", - " 5.61000000e-02, 1.05600000e-01, 2.17800000e-01, 1.48500000e-01,\n", - " 1.25400000e-01, 5.90700000e-01, 6.43500000e-01, 1.32000000e-02,\n", - " 1.28700000e-01, 1.78200000e-01, 7.92000000e-02, 1.22100000e-01,\n", - " 6.60000000e-02, 2.14500000e-01, 5.51100000e-01, 7.92000000e-02,\n", - " 6.27000000e-02, 3.61680000e+00, 1.41900000e-01, 1.22100000e-01,\n", - " 1.05600000e-01, 6.76500000e-01, 1.55100000e-01, 5.61000000e-02,\n", - " 4.75200000e-01, 1.25400000e-01, 8.74500000e-01, 2.31000000e-01,\n", - " 1.97670000e+00, 1.42890000e+00, 1.35300000e+00, 1.22100000e-01,\n", - " 1.32000000e-02, 1.55100000e-01, 3.63000000e-02, 8.91000000e-02,\n", - " 1.83480000e+00, 9.57000000e-02, 9.90000000e-03, 5.28000000e-02,\n", - " 1.22760000e+00, 3.10200000e-01, 7.26000000e-02, 2.50800000e-01,\n", - " 1.21440000e+00, 2.20440000e+00, 4.03920000e+00, 4.68600000e-01,\n", - " 2.12520000e+00, 2.85450000e+00, 2.47500000e-01, 1.28700000e-01,\n", - " 3.46500000e-01, 4.84440000e+00, 2.58720000e+00, 1.32000000e-02,\n", - " 1.48500000e-01, 2.17800000e-01, 9.24000000e-02, 4.22400000e-01,\n", - " 1.91400000e-01, 3.30000000e-01, 3.66300000e-01, 1.95030000e+00,\n", - " 4.58700000e-01, 2.64000000e-02, 5.54400000e-01, 8.74500000e-01,\n", - " 5.24700000e-01, 4.58700000e-01, 2.97000000e-02, 2.54100000e-01,\n", - " 1.55100000e-01, 5.61000000e-02, 2.97000000e-02, 2.43870000e+00,\n", - " 1.78200000e-01, 6.93000000e-02, 2.31000000e-01, 4.42200000e-01,\n", - " 2.61030000e+00, 1.45860000e+00, 2.27700000e-01, 3.16800000e-01,\n", - " 1.28040000e+00, 1.81500000e-01, 3.10200000e-01, 9.90000000e-01,\n", - " 8.38200000e-01, 1.22100000e-01, 1.52130000e+00, 1.38600000e-01,\n", - " 3.02940000e+00, 1.61700000e-01, 4.85100000e-01, 2.31000000e-02,\n", - " 1.65000000e-02, 4.29000000e-02, 2.50800000e-01, 1.68300000e-01,\n", - " 2.70600000e-01, 1.48500000e-01, 1.15500000e-01, 1.41900000e-01,\n", - " 4.98300000e-01, 1.71600000e-01, 6.93000000e-02, 6.60000000e-01,\n", - " 5.61000000e-02, 2.11860000e+00, 5.11500000e-01, 5.21400000e-01,\n", - " 1.22100000e-01, 1.91400000e-01, 7.26000000e-02, 2.35620000e+00,\n", - " 9.24000000e-02, 4.29000000e-02, 4.91700000e-01, 4.36920000e+00,\n", - " 6.60000000e-02, 1.05600000e-01, 1.32000000e-02, 2.01960000e+00,\n", - " 3.30000000e-02, 4.55400000e-01, 6.60000000e-02, 1.81830000e+00,\n", - " 7.39200000e-01, 2.97000000e-02, 6.60000000e-03, 1.22100000e+00,\n", - " 2.31000000e-02, 2.01300000e-01, 6.73200000e-01, 1.78200000e-01,\n", - " 8.15100000e-01, 2.73900000e-01, 5.80800000e-01, 9.24000000e-02,\n", - " 1.71600000e-01, 2.97000000e-02, 2.51130000e+00, 2.57400000e+00,\n", - " 5.57700000e-01, 1.36950000e+00, 2.81160000e+00, 1.08900000e-01,\n", - " 1.65000000e-02, 5.61000000e-02, 1.15500000e-01, 1.48500000e-01,\n", - " 4.95000000e-02, 1.98000000e-02, 1.08900000e-01, 2.64000000e-01,\n", - " 3.66300000e-01, 1.08900000e-01, 5.94000000e-02, 5.61000000e-02,\n", - " 7.59000000e-02, 9.90000000e-03, 2.44200000e-01, 1.25400000e-01,\n", - " 5.94000000e-02, 3.06900000e-01, 2.64000000e-02, 4.71900000e-01,\n", - " 8.05200000e-01, 2.93700000e-01, 7.65600000e-01, 1.38930000e+00,\n", - " 4.38900000e-01, 2.11200000e+00, 2.31000000e-01, 4.05900000e-01,\n", - " 7.92000000e-01, 3.20100000e-01, 1.51800000e-01, 1.91400000e-01,\n", - " 8.58000000e-02, 1.08900000e-01, 3.30000000e-03, 1.22100000e-01,\n", - " 5.61000000e-02, 2.97000000e-02, 1.35300000e-01, 6.17100000e-01,\n", - " 1.45200000e-01, 1.18800000e-01, 4.95000000e-02, 2.14500000e-01,\n", - " 1.41240000e+00, 5.97300000e-01, 1.61700000e-01, 3.92700000e-01,\n", - " 1.15500000e-01, 2.90400000e+00, 2.04600000e-01, 9.86700000e-01,\n", - " 1.98000000e-01, 2.50800000e-01, 1.02300000e-01, 2.90400000e-01,\n", - " 1.51800000e-01, 1.08900000e-01, 3.69600000e-01, 1.98000000e-02,\n", - " 5.94000000e-02, 1.55100000e-01, 1.15500000e-01, 1.51800000e-01,\n", - " 4.29000000e-02, 2.21100000e-01, 1.32000000e+00, 3.79500000e-01,\n", - " 5.97300000e-01, 3.59700000e-01, 2.07900000e-01, 4.55400000e-01,\n", - " 1.52130000e+00, 1.15830000e+00, 8.58000000e-02, 3.43200000e-01,\n", - " 1.74900000e-01, 2.27700000e-01, 5.14800000e-01, 9.80100000e-01,\n", - " 9.90000000e-03, 1.65000000e-02, 1.16490000e+00, 1.20120000e+00,\n", - " 1.84800000e-01, 2.31000000e-02, 1.28700000e-01, 8.58000000e-02,\n", - " 9.90000000e-03, 2.31000000e-02, 9.90000000e-02, 1.15500000e-01,\n", - " 1.31010000e+00, 6.33600000e-01, 6.93000000e-02, 1.94700000e-01,\n", - " 1.35960000e+00, 7.92000000e-02, 2.46840000e+00, 1.18800000e-01,\n", - " 1.77870000e+00, 1.61700000e-01, 7.02900000e-01, 1.32000000e-02,\n", - " 4.29000000e-02, 1.12200000e-01, 4.62000000e-02, 7.49100000e-01,\n", - " 4.55400000e-01, 3.59700000e-01, 5.28000000e-02, 1.41900000e-01,\n", - " 9.90000000e-03, 6.07200000e-01, 1.68300000e-01, 1.98000000e-02,\n", - " 2.77200000e-01, 9.66900000e-01, 3.43200000e-01, 3.30000000e-03,\n", - " 1.43220000e+00, 9.90000000e-02, 1.00980000e+00, 1.65000000e-02,\n", - " 9.90000000e-03, 1.28700000e-01, 6.00600000e-01, 9.24000000e-02,\n", - " 2.50800000e-01, 5.84100000e-01, 2.97000000e-02, 3.96000000e-02,\n", - " 2.08560000e+00, 1.32000000e-02, 1.32000000e-02, 1.05600000e-01,\n", - " 1.22100000e-01, 1.05600000e-01, 3.63000000e-02, 1.78200000e-01,\n", - " 1.51800000e-01, 2.11200000e-01, 1.58400000e-01, 4.55400000e-01,\n", - " 8.21700000e-01, 6.27000000e-02, 3.30000000e-02, 8.58000000e-02,\n", - " 1.41900000e-01, 1.45200000e-01, 4.75200000e-01, 5.61000000e-02,\n", - " 2.97000000e-02, 1.61700000e-01, 8.41500000e-01, 2.73900000e-01,\n", - " 1.55100000e-01, 5.84760000e+00, 6.60000000e-03, 7.26000000e-02,\n", - " 6.93000000e-02, 1.98000000e-02, 2.31000000e-02, 2.97000000e-02,\n", - " 2.64000000e-02, 1.91400000e-01, 4.62000000e-02, 6.13800000e-01,\n", - " 3.17460000e+00, 1.81500000e-01, 6.27000000e-02, 2.14500000e-01,\n", - " 1.14510000e+00, 8.91000000e-02, 5.61000000e-02, 2.47500000e-01,\n", - " 4.95000000e-02, 2.87100000e-01, 4.88400000e-01, 3.99300000e-01,\n", - " 3.63000000e-02, 1.84800000e-01, 1.28700000e-01, 9.57000000e-02,\n", - " 1.55100000e-01, 8.64600000e-01, 1.84800000e-01, 3.00300000e-01,\n", - " 4.88400000e-01, 5.94000000e-01, 4.62000000e-02, 1.32000000e-01,\n", - " 5.47800000e-01, 5.01600000e-01, 1.78860000e+00, 4.29000000e-02,\n", - " 6.56700000e-01, 7.92000000e-02, 1.94700000e-01, 2.73900000e-01,\n", - " 6.60000000e-02, 2.73900000e-01, 9.90000000e-02, 8.25000000e-02,\n", - " 2.31000000e-01, 2.60700000e-01, 5.94000000e-02, 2.64000000e-02,\n", - " 2.11200000e-01, 3.72900000e-01, 2.34300000e-01, 1.55100000e-01,\n", - " 8.91000000e-02, 9.90000000e-03, 3.76200000e-01, 1.05930000e+00,\n", - " 1.41900000e-01, 7.26000000e-02, 3.30000000e-03, 2.17800000e-01,\n", - " 1.55100000e-01, 4.95000000e-02, 5.94000000e-02, 2.60700000e-01,\n", - " 7.92000000e-02, 1.68960000e+00, 1.55100000e-01, 5.94000000e-02,\n", - " 0.00000000e+00, 3.36600000e-01, 7.92000000e-02, 1.05600000e-01,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.34646401e+03, -2.52731782e+03, 8.39110329e+01, -5.75878664e+00,\n", - " 4.56942712e+01, 0.00000000e+00, 1.65606097e+02, 2.93283193e+02,\n", - " 0.00000000e+00, 1.02663698e+02, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 1.67500000e-01, 7.82500000e-01, 1.52750000e+00, 1.08250000e+00,\n", - " 5.75000000e-02, 1.05000000e-01, 7.00000000e-02, 1.47500000e-01,\n", - " 2.42500000e-01, 3.75000000e-02, 1.47500000e-01, 1.17500000e-01,\n", - " 2.63000000e+00, 1.00000000e-02, 3.50000000e-02, 2.25000000e-02,\n", - " 1.31250000e+00, 9.45000000e-01, 1.42500000e-01, 2.22500000e-01,\n", - " 5.25000000e-02, 2.75000000e-02, 1.50000000e-02, 0.00000000e+00,\n", - " 5.00000000e-02, 1.65000000e-01, 1.25000000e-02, 9.62500000e-01,\n", - " 1.87500000e-01, 7.72500000e-01, 4.10000000e-01, 3.12500000e-01,\n", - " 3.45000000e-01, 1.50000000e-02, 0.00000000e+00, 1.75000000e-02,\n", - " 1.95000000e-01, 9.00000000e-02, 4.50000000e-02, 3.25000000e-02,\n", - " 1.12500000e-01, 1.05000000e-01, 2.82500000e-01, 5.95000000e-01,\n", - " 9.50000000e-02, 9.87500000e-01, 3.12500000e-01, 1.25750000e+00,\n", - " 1.57500000e-01, 4.39500000e+00, 2.75000000e-02, 3.50000000e-02,\n", - " 1.15000000e-01, 8.25000000e-02, 1.85000000e-01, 4.50000000e-02,\n", - " 1.65000000e-01, 1.31500000e+00, 2.28250000e+00, 6.12500000e-01,\n", - " 4.27500000e-01, 3.75000000e-01, 1.50000000e-01, 6.40000000e-01,\n", - " 7.75000000e-02, 6.25000000e-02, 6.10000000e-01, 5.20000000e-01,\n", - " 2.50000000e-02, 0.00000000e+00, 1.15000000e-01, 1.17500000e-01,\n", - " 1.00000000e-02, 2.75000000e-02, 2.10000000e-01, 4.30000000e-01,\n", - " 2.55000000e-01, 8.25000000e-02, 8.50000000e-02, 6.30000000e-01,\n", - " 1.46500000e+00, 1.30250000e+00, 2.85000000e-01, 4.60000000e-01,\n", - " 5.37500000e-01, 6.00000000e-01, 6.75000000e-02, 1.40000000e-01,\n", - " 2.50000000e-02, 3.00000000e-02, 4.50000000e-02, 0.00000000e+00,\n", - " 1.25000000e-02, 3.50000000e-02, 5.07500000e-01, 1.32500000e-01,\n", - " 1.50000000e-02, 0.00000000e+00, 3.75000000e-02, 4.07500000e-01,\n", - " 3.25000000e-01, 1.16000000e+00, 1.52000000e+00, 2.82500000e-01,\n", - " 4.50000000e-02, 2.25000000e-02, 1.17500000e-01, 2.25000000e-02,\n", - " 6.72500000e-01, 5.22500000e-01, 1.60000000e-01, 1.30000000e-01,\n", - " 1.36250000e+00, 2.75000000e-01, 0.00000000e+00, 6.57500000e-01,\n", - " 4.32500000e-01, 2.13500000e+00, 3.45000000e-01, 1.02250000e+00,\n", - " 2.12500000e-01, 2.90000000e-01, 7.92500000e-01, 1.33000000e+00,\n", - " 1.19000000e+00, 2.38250000e+00, 3.55000000e-01, 1.52500000e-01,\n", - " 1.01250000e+00, 1.25500000e+00, 4.27500000e-01, 2.35000000e-01,\n", - " 5.00000000e-02, 2.00000000e-01, 3.72500000e-01, 2.60000000e-01,\n", - " 2.20000000e-01, 6.50000000e-01, 1.85000000e-01, 6.25000000e-02,\n", - " 1.24250000e+00, 1.05750000e+00, 9.27500000e-01, 9.70000000e-01,\n", - " 1.47500000e-01, 1.67500000e-01, 3.25000000e-02, 8.75000000e-02,\n", - " 1.80000000e-01, 3.45000000e-01, 0.00000000e+00, 0.00000000e+00,\n", - " 2.48250000e+00, 3.61000000e+00, 7.83750000e+00, 2.05000000e-01,\n", - " 2.25000000e-01, 1.22500000e-01, 2.75000000e-02, 3.00000000e-02,\n", - " 7.50000000e-02, 6.50000000e-02, 4.02500000e-01, 3.67500000e-01,\n", - " 3.45000000e-01, 1.00000000e-01, 2.59000000e+00, 4.74250000e+00,\n", - " 7.25000000e-02, 6.25000000e-02, 1.67500000e-01, 6.75000000e-02,\n", - " 7.50000000e-02, 1.77500000e-01, 3.35000000e-01, 1.20000000e-01,\n", - " 1.70000000e-01, 1.75000000e-01, 2.25000000e-02, 4.27500000e-01,\n", - " 5.50000000e-02, 1.32500000e-01, 1.57500000e-01, 4.07500000e-01,\n", - " 3.17500000e-01, 2.75000000e-02, 4.72500000e-01, 1.42500000e-01,\n", - " 1.02500000e-01, 1.12500000e-01, 2.65000000e-01, 1.35000000e-01,\n", - " 2.92500000e-01, 1.50000000e-02, 1.37500000e-01, 8.50000000e-02,\n", - " 1.20000000e-01, 4.25000000e-02, 4.89750000e+00, 1.25000000e-01,\n", - " 1.10000000e-01, 5.00000000e+00, 1.80000000e-01, 3.25000000e-02,\n", - " 0.00000000e+00, 3.25000000e-02, 1.50000000e-02, 1.25000000e-01,\n", - " 1.72500000e-01, 3.50000000e-02, 1.32500000e-01, 1.65000000e+00,\n", - " 1.05250000e+00, 1.27250000e+00, 4.44000000e+00, 3.85500000e+00,\n", - " 1.05000000e-01, 6.00000000e-02, 1.01000000e+00, 6.50000000e-01,\n", - " 2.19750000e+00, 1.56000000e+00, 2.25000000e-02, 5.50000000e-01,\n", - " 1.57500000e-01, 2.23250000e+00, 1.25000000e-02, 1.75000000e-02,\n", - " 2.75000000e-02, 1.25000000e-02, 7.87500000e-01, 6.22500000e-01,\n", - " 6.25000000e-01, 1.96250000e+00, 1.02500000e-01, 2.50000000e-02,\n", - " 9.77500000e-01, 3.25000000e-02, 1.02500000e-01, 1.57750000e+00,\n", - " 1.07500000e-01, 1.00000000e-01, 9.50000000e-02, 1.10000000e-01,\n", - " 5.75000000e-02, 1.27750000e+00, 7.25000000e-01, 2.25000000e-01,\n", - " 3.42500000e-01, 1.20000000e-01, 2.25000000e-02, 6.40000000e-01,\n", - " 4.00000000e-01, 9.12500000e-01, 9.00000000e-02, 1.60000000e-01,\n", - " 5.75000000e-02, 9.25000000e-02, 1.87500000e-01, 7.17500000e-01,\n", - " 2.02500000e-01, 7.37500000e-01, 2.82500000e-01, 1.05000000e-01,\n", - " 2.20000000e-01, 3.77500000e-01, 6.30000000e-01, 1.72000000e+00,\n", - " 1.92500000e-01, 9.12500000e-01, 8.50000000e-02, 8.25000000e-02,\n", - " 2.25000000e-01, 4.57500000e-01, 1.75000000e-01, 5.20000000e-01,\n", - " 3.50000000e-02, 1.17500000e-01, 6.50000000e-01, 3.40000000e-01,\n", - " 4.25000000e-02, 7.75000000e-02, 2.72500000e-01, 1.57500000e-01,\n", - " 2.97500000e-01, 2.00000000e-01, 2.75000000e-02, 8.75000000e-02,\n", - " 2.00000000e-02, 2.50000000e-03, 1.01500000e+00, 1.35750000e+00,\n", - " 6.50000000e-02, 4.75000000e-02, 3.00250000e+00, 1.35500000e+00,\n", - " 2.57500000e-01, 1.01500000e+00, 1.57500000e-01, 5.30000000e-01,\n", - " 7.00000000e-02, 6.25000000e-02, 7.07500000e-01, 8.50000000e-02,\n", - " 3.25000000e-02, 4.92500000e-01, 2.77500000e-01, 1.30000000e-01,\n", - " 1.14500000e+00, 4.00000000e-02, 9.25000000e-02, 4.75000000e-02,\n", - " 6.75000000e-02, 2.50000000e-02, 1.56250000e+00, 8.15000000e-01,\n", - " 9.25000000e-02, 4.25000000e-02, 6.65000000e-01, 7.00000000e-02,\n", - " 3.32500000e-01, 2.50000000e-03, 3.07500000e-01, 3.95000000e-01,\n", - " 1.12500000e-01, 3.72500000e-01, 6.25000000e-02, 1.98750000e+00,\n", - " 8.50000000e-02, 8.25000000e-02, 7.75000000e-02, 2.86000000e+00,\n", - " 8.75000000e-02, 2.07500000e-01, 2.25000000e-02, 1.25000000e-02,\n", - " 6.92500000e-01, 2.47500000e-01, 2.00000000e-02, 0.00000000e+00,\n", - " 8.80000000e-01, 4.55000000e-01, 1.31000000e+00, 5.70000000e-01,\n", - " 1.50000000e-02, 1.00000000e-02, 7.50000000e-02, 3.40000000e-01,\n", - " 4.02500000e-01, 6.25000000e-02, 0.00000000e+00, 2.25000000e-02,\n", - " 2.35000000e-01, 4.50000000e-02, 8.00000000e-02, 1.32500000e-01,\n", - " 8.77500000e-01, 5.75000000e-01, 1.75000000e-02, 6.00000000e-02,\n", - " 3.25000000e-02, 2.50000000e-02, 2.50000000e-02, 7.50000000e-02,\n", - " 7.50000000e-02, 9.62500000e-01, 9.17500000e-01, 7.00000000e-02,\n", - " 9.75000000e-02, 3.75000000e-02, 2.75000000e-02, 8.25000000e-02,\n", - " 2.50000000e-02, 2.50000000e-02, 1.70000000e-01, 1.30000000e-01,\n", - " 1.77500000e-01, 2.22500000e-01, 1.89750000e+00, 3.90000000e-01,\n", - " 3.45000000e-01, 3.60000000e-01, 6.72500000e-01, 5.00000000e-02,\n", - " 3.25000000e-01, 9.27500000e-01, 6.50000000e-02, 2.64000000e+00,\n", - " 1.97750000e+00, 1.21250000e+00, 1.35000000e-01, 3.75000000e-02,\n", - " 2.21250000e+00, 5.60000000e-01, 9.32500000e-01, 2.05000000e-01,\n", - " 4.75000000e-02, 7.65000000e-01, 6.15000000e-01, 2.50000000e-02,\n", - " 1.00000000e-02, 7.50000000e-03, 2.25000000e-01, 1.00000000e-02,\n", - " 1.04250000e+00, 2.23500000e+00, 1.00000000e-01, 2.05000000e-01,\n", - " 4.60000000e-01, 1.25000000e-02, 5.75000000e-02, 6.75000000e-01,\n", - " 7.25000000e-02, 1.20000000e-01, 2.57500000e-01, 1.40250000e+00,\n", - " 7.72500000e-01, 1.60000000e-01, 2.52500000e-01, 3.35000000e-01,\n", - " 3.75000000e-02, 1.70000000e-01, 2.15000000e-01, 9.00000000e-02,\n", - " 1.25000000e-02, 1.35000000e-01, 6.50000000e-02, 6.25000000e-02,\n", - " 1.42500000e-01, 1.77500000e-01, 2.62500000e-01, 7.00000000e-02,\n", - " 7.50000000e-03, 9.50000000e-02, 1.20750000e+00, 6.75000000e-02,\n", - " 5.90000000e-01, 6.00000000e-02, 2.15000000e-01, 1.22500000e+00,\n", - " 1.92250000e+00, 4.30000000e-01, 8.20000000e-01, 9.50000000e-02,\n", - " 8.75000000e-02, 6.25000000e-02, 4.57500000e-01, 7.50000000e-02,\n", - " 8.00000000e-02, 4.50000000e-02, 1.25000000e-01, 1.20000000e-01,\n", - " 1.27500000e+00, 3.67500000e-01, 1.45000000e-01, 2.50000000e-03,\n", - " 1.22500000e-01, 4.62500000e-01, 5.32500000e-01, 5.00000000e-01,\n", - " 4.75000000e-02, 1.85000000e-01, 3.50000000e-01, 6.25000000e-02,\n", - " 1.57500000e-01, 9.50000000e-02, 4.25000000e-02, 7.00000000e-02,\n", - " 1.52500000e-01, 1.17500000e-01, 1.02500000e-01, 2.00000000e-02,\n", - " 7.52500000e-01, 9.57500000e-01, 3.75000000e-02, 4.00000000e-02,\n", - " 8.75000000e-02, 2.79500000e+00, 1.51250000e+00, 3.25000000e-02,\n", - " 1.06750000e+00, 5.55000000e-01, 2.50000000e-03, 1.07500000e-01,\n", - " 6.00000000e-02, 5.10000000e-01, 7.50000000e-01, 1.03000000e+00,\n", - " 7.00000000e-02, 2.00250000e+00, 3.42500000e-01, 1.45000000e+00,\n", - " 1.87500000e-01, 2.62500000e-01, 1.11750000e+00, 8.45000000e-01,\n", - " 3.47500000e-01, 3.97500000e-01, 0.00000000e+00, 2.50000000e-01,\n", - " 2.22500000e-01, 3.00000000e-02, 1.50000000e-02, 2.75000000e-02,\n", - " 4.25000000e-02, 8.00000000e-02, 1.65000000e-01, 1.12500000e-01,\n", - " 9.50000000e-02, 4.47500000e-01, 4.87500000e-01, 1.00000000e-02,\n", - " 9.75000000e-02, 1.35000000e-01, 6.00000000e-02, 9.25000000e-02,\n", - " 5.00000000e-02, 1.62500000e-01, 4.17500000e-01, 6.00000000e-02,\n", - " 4.75000000e-02, 2.74000000e+00, 1.07500000e-01, 9.25000000e-02,\n", - " 8.00000000e-02, 5.12500000e-01, 1.17500000e-01, 4.25000000e-02,\n", - " 3.60000000e-01, 9.50000000e-02, 6.62500000e-01, 1.75000000e-01,\n", - " 1.49750000e+00, 1.08250000e+00, 1.02500000e+00, 9.25000000e-02,\n", - " 1.00000000e-02, 1.17500000e-01, 2.75000000e-02, 6.75000000e-02,\n", - " 1.39000000e+00, 7.25000000e-02, 7.50000000e-03, 4.00000000e-02,\n", - " 9.30000000e-01, 2.35000000e-01, 5.50000000e-02, 1.90000000e-01,\n", - " 9.20000000e-01, 1.67000000e+00, 3.06000000e+00, 3.55000000e-01,\n", - " 1.61000000e+00, 2.16250000e+00, 1.87500000e-01, 9.75000000e-02,\n", - " 2.62500000e-01, 3.67000000e+00, 1.96000000e+00, 1.00000000e-02,\n", - " 1.12500000e-01, 1.65000000e-01, 7.00000000e-02, 3.20000000e-01,\n", - " 1.45000000e-01, 2.50000000e-01, 2.77500000e-01, 1.47750000e+00,\n", - " 3.47500000e-01, 2.00000000e-02, 4.20000000e-01, 6.62500000e-01,\n", - " 3.97500000e-01, 3.47500000e-01, 2.25000000e-02, 1.92500000e-01,\n", - " 1.17500000e-01, 4.25000000e-02, 2.25000000e-02, 1.84750000e+00,\n", - " 1.35000000e-01, 5.25000000e-02, 1.75000000e-01, 3.35000000e-01,\n", - " 1.97750000e+00, 1.10500000e+00, 1.72500000e-01, 2.40000000e-01,\n", - " 9.70000000e-01, 1.37500000e-01, 2.35000000e-01, 7.50000000e-01,\n", - " 6.35000000e-01, 9.25000000e-02, 1.15250000e+00, 1.05000000e-01,\n", - " 2.29500000e+00, 1.22500000e-01, 3.67500000e-01, 1.75000000e-02,\n", - " 1.25000000e-02, 3.25000000e-02, 1.90000000e-01, 1.27500000e-01,\n", - " 2.05000000e-01, 1.12500000e-01, 8.75000000e-02, 1.07500000e-01,\n", - " 3.77500000e-01, 1.30000000e-01, 5.25000000e-02, 5.00000000e-01,\n", - " 4.25000000e-02, 1.60500000e+00, 3.87500000e-01, 3.95000000e-01,\n", - " 9.25000000e-02, 1.45000000e-01, 5.50000000e-02, 1.78500000e+00,\n", - " 7.00000000e-02, 3.25000000e-02, 3.72500000e-01, 3.31000000e+00,\n", - " 5.00000000e-02, 8.00000000e-02, 1.00000000e-02, 1.53000000e+00,\n", - " 2.50000000e-02, 3.45000000e-01, 5.00000000e-02, 1.37750000e+00,\n", - " 5.60000000e-01, 2.25000000e-02, 5.00000000e-03, 9.25000000e-01,\n", - " 1.75000000e-02, 1.52500000e-01, 5.10000000e-01, 1.35000000e-01,\n", - " 6.17500000e-01, 2.07500000e-01, 4.40000000e-01, 7.00000000e-02,\n", - " 1.30000000e-01, 2.25000000e-02, 1.90250000e+00, 1.95000000e+00,\n", - " 4.22500000e-01, 1.03750000e+00, 2.13000000e+00, 8.25000000e-02,\n", - " 1.25000000e-02, 4.25000000e-02, 8.75000000e-02, 1.12500000e-01,\n", - " 3.75000000e-02, 1.50000000e-02, 8.25000000e-02, 2.00000000e-01,\n", - " 2.77500000e-01, 8.25000000e-02, 4.50000000e-02, 4.25000000e-02,\n", - " 5.75000000e-02, 7.50000000e-03, 1.85000000e-01, 9.50000000e-02,\n", - " 4.50000000e-02, 2.32500000e-01, 2.00000000e-02, 3.57500000e-01,\n", - " 6.10000000e-01, 2.22500000e-01, 5.80000000e-01, 1.05250000e+00,\n", - " 3.32500000e-01, 1.60000000e+00, 1.75000000e-01, 3.07500000e-01,\n", - " 6.00000000e-01, 2.42500000e-01, 1.15000000e-01, 1.45000000e-01,\n", - " 6.50000000e-02, 8.25000000e-02, 2.50000000e-03, 9.25000000e-02,\n", - " 4.25000000e-02, 2.25000000e-02, 1.02500000e-01, 4.67500000e-01,\n", - " 1.10000000e-01, 9.00000000e-02, 3.75000000e-02, 1.62500000e-01,\n", - " 1.07000000e+00, 4.52500000e-01, 1.22500000e-01, 2.97500000e-01,\n", - " 8.75000000e-02, 2.20000000e+00, 1.55000000e-01, 7.47500000e-01,\n", - " 1.50000000e-01, 1.90000000e-01, 7.75000000e-02, 2.20000000e-01,\n", - " 1.15000000e-01, 8.25000000e-02, 2.80000000e-01, 1.50000000e-02,\n", - " 4.50000000e-02, 1.17500000e-01, 8.75000000e-02, 1.15000000e-01,\n", - " 3.25000000e-02, 1.67500000e-01, 1.00000000e+00, 2.87500000e-01,\n", - " 4.52500000e-01, 2.72500000e-01, 1.57500000e-01, 3.45000000e-01,\n", - " 1.15250000e+00, 8.77500000e-01, 6.50000000e-02, 2.60000000e-01,\n", - " 1.32500000e-01, 1.72500000e-01, 3.90000000e-01, 7.42500000e-01,\n", - " 7.50000000e-03, 1.25000000e-02, 8.82500000e-01, 9.10000000e-01,\n", - " 1.40000000e-01, 1.75000000e-02, 9.75000000e-02, 6.50000000e-02,\n", - " 7.50000000e-03, 1.75000000e-02, 7.50000000e-02, 8.75000000e-02,\n", - " 9.92500000e-01, 4.80000000e-01, 5.25000000e-02, 1.47500000e-01,\n", - " 1.03000000e+00, 6.00000000e-02, 1.87000000e+00, 9.00000000e-02,\n", - " 1.34750000e+00, 1.22500000e-01, 5.32500000e-01, 1.00000000e-02,\n", - " 3.25000000e-02, 8.50000000e-02, 3.50000000e-02, 5.67500000e-01,\n", - " 3.45000000e-01, 2.72500000e-01, 4.00000000e-02, 1.07500000e-01,\n", - " 7.50000000e-03, 4.60000000e-01, 1.27500000e-01, 1.50000000e-02,\n", - " 2.10000000e-01, 7.32500000e-01, 2.60000000e-01, 2.50000000e-03,\n", - " 1.08500000e+00, 7.50000000e-02, 7.65000000e-01, 1.25000000e-02,\n", - " 7.50000000e-03, 9.75000000e-02, 4.55000000e-01, 7.00000000e-02,\n", - " 1.90000000e-01, 4.42500000e-01, 2.25000000e-02, 3.00000000e-02,\n", - " 1.58000000e+00, 1.00000000e-02, 1.00000000e-02, 8.00000000e-02,\n", - " 9.25000000e-02, 8.00000000e-02, 2.75000000e-02, 1.35000000e-01,\n", - " 1.15000000e-01, 1.60000000e-01, 1.20000000e-01, 3.45000000e-01,\n", - " 6.22500000e-01, 4.75000000e-02, 2.50000000e-02, 6.50000000e-02,\n", - " 1.07500000e-01, 1.10000000e-01, 3.60000000e-01, 4.25000000e-02,\n", - " 2.25000000e-02, 1.22500000e-01, 6.37500000e-01, 2.07500000e-01,\n", - " 1.17500000e-01, 4.43000000e+00, 5.00000000e-03, 5.50000000e-02,\n", - " 5.25000000e-02, 1.50000000e-02, 1.75000000e-02, 2.25000000e-02,\n", - " 2.00000000e-02, 1.45000000e-01, 3.50000000e-02, 4.65000000e-01,\n", - " 2.40500000e+00, 1.37500000e-01, 4.75000000e-02, 1.62500000e-01,\n", - " 8.67500000e-01, 6.75000000e-02, 4.25000000e-02, 1.87500000e-01,\n", - " 3.75000000e-02, 2.17500000e-01, 3.70000000e-01, 3.02500000e-01,\n", - " 2.75000000e-02, 1.40000000e-01, 9.75000000e-02, 7.25000000e-02,\n", - " 1.17500000e-01, 6.55000000e-01, 1.40000000e-01, 2.27500000e-01,\n", - " 3.70000000e-01, 4.50000000e-01, 3.50000000e-02, 1.00000000e-01,\n", - " 4.15000000e-01, 3.80000000e-01, 1.35500000e+00, 3.25000000e-02,\n", - " 4.97500000e-01, 6.00000000e-02, 1.47500000e-01, 2.07500000e-01,\n", - " 5.00000000e-02, 2.07500000e-01, 7.50000000e-02, 6.25000000e-02,\n", - " 1.75000000e-01, 1.97500000e-01, 4.50000000e-02, 2.00000000e-02,\n", - " 1.60000000e-01, 2.82500000e-01, 1.77500000e-01, 1.17500000e-01,\n", - " 6.75000000e-02, 7.50000000e-03, 2.85000000e-01, 8.02500000e-01,\n", - " 1.07500000e-01, 5.50000000e-02, 2.50000000e-03, 1.65000000e-01,\n", - " 1.17500000e-01, 3.75000000e-02, 4.50000000e-02, 1.97500000e-01,\n", - " 6.00000000e-02, 1.28000000e+00, 1.17500000e-01, 4.50000000e-02,\n", - " 0.00000000e+00, 2.55000000e-01, 6.00000000e-02, 8.00000000e-02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.37482872e+03, -2.52731782e+03, 9.14860032e+01, 6.01537499e+00,\n", - " 4.43554391e+01, 0.00000000e+00, 1.83904709e+02, 3.34584076e+02,\n", - " 0.00000000e+00, 1.16791945e+02, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 1.67500000e-01, 7.82500000e-01, 1.52750000e+00, 1.08250000e+00,\n", - " 5.75000000e-02, 1.05000000e-01, 7.00000000e-02, 1.47500000e-01,\n", - " 2.42500000e-01, 3.75000000e-02, 1.47500000e-01, 1.17500000e-01,\n", - " 2.63000000e+00, 1.00000000e-02, 3.50000000e-02, 2.25000000e-02,\n", - " 1.31250000e+00, 9.45000000e-01, 1.42500000e-01, 2.22500000e-01,\n", - " 5.25000000e-02, 2.75000000e-02, 1.50000000e-02, 0.00000000e+00,\n", - " 5.00000000e-02, 1.65000000e-01, 1.25000000e-02, 9.62500000e-01,\n", - " 1.87500000e-01, 7.72500000e-01, 4.10000000e-01, 3.12500000e-01,\n", - " 3.45000000e-01, 1.50000000e-02, 0.00000000e+00, 1.75000000e-02,\n", - " 1.95000000e-01, 9.00000000e-02, 4.50000000e-02, 3.25000000e-02,\n", - " 1.12500000e-01, 1.05000000e-01, 2.82500000e-01, 5.95000000e-01,\n", - " 9.50000000e-02, 9.87500000e-01, 3.12500000e-01, 1.25750000e+00,\n", - " 1.57500000e-01, 4.39500000e+00, 2.75000000e-02, 3.50000000e-02,\n", - " 1.15000000e-01, 8.25000000e-02, 1.85000000e-01, 4.50000000e-02,\n", - " 1.65000000e-01, 1.31500000e+00, 2.28250000e+00, 6.12500000e-01,\n", - " 4.27500000e-01, 3.75000000e-01, 1.50000000e-01, 6.40000000e-01,\n", - " 7.75000000e-02, 6.25000000e-02, 6.10000000e-01, 5.20000000e-01,\n", - " 2.50000000e-02, 0.00000000e+00, 1.15000000e-01, 1.17500000e-01,\n", - " 1.00000000e-02, 2.75000000e-02, 2.10000000e-01, 4.30000000e-01,\n", - " 2.55000000e-01, 8.25000000e-02, 8.50000000e-02, 6.30000000e-01,\n", - " 1.46500000e+00, 1.30250000e+00, 2.85000000e-01, 4.60000000e-01,\n", - " 5.37500000e-01, 6.00000000e-01, 6.75000000e-02, 1.40000000e-01,\n", - " 2.50000000e-02, 3.00000000e-02, 4.50000000e-02, 0.00000000e+00,\n", - " 1.25000000e-02, 3.50000000e-02, 5.07500000e-01, 1.32500000e-01,\n", - " 1.50000000e-02, 0.00000000e+00, 3.75000000e-02, 4.07500000e-01,\n", - " 3.25000000e-01, 1.16000000e+00, 1.52000000e+00, 2.82500000e-01,\n", - " 4.50000000e-02, 2.25000000e-02, 1.17500000e-01, 2.25000000e-02,\n", - " 6.72500000e-01, 5.22500000e-01, 1.60000000e-01, 1.30000000e-01,\n", - " 1.36250000e+00, 2.75000000e-01, 0.00000000e+00, 6.57500000e-01,\n", - " 4.32500000e-01, 2.13500000e+00, 3.45000000e-01, 1.02250000e+00,\n", - " 2.12500000e-01, 2.90000000e-01, 7.92500000e-01, 1.33000000e+00,\n", - " 1.19000000e+00, 2.38250000e+00, 3.55000000e-01, 1.52500000e-01,\n", - " 1.01250000e+00, 1.25500000e+00, 4.27500000e-01, 2.35000000e-01,\n", - " 5.00000000e-02, 2.00000000e-01, 3.72500000e-01, 2.60000000e-01,\n", - " 2.20000000e-01, 6.50000000e-01, 1.85000000e-01, 6.25000000e-02,\n", - " 1.24250000e+00, 1.05750000e+00, 9.27500000e-01, 9.70000000e-01,\n", - " 1.47500000e-01, 1.67500000e-01, 3.25000000e-02, 8.75000000e-02,\n", - " 1.80000000e-01, 3.45000000e-01, 0.00000000e+00, 0.00000000e+00,\n", - " 2.48250000e+00, 3.61000000e+00, 7.83750000e+00, 2.05000000e-01,\n", - " 2.25000000e-01, 1.22500000e-01, 2.75000000e-02, 3.00000000e-02,\n", - " 7.50000000e-02, 6.50000000e-02, 4.02500000e-01, 3.67500000e-01,\n", - " 3.45000000e-01, 1.00000000e-01, 2.59000000e+00, 4.74250000e+00,\n", - " 7.25000000e-02, 6.25000000e-02, 1.67500000e-01, 6.75000000e-02,\n", - " 7.50000000e-02, 1.77500000e-01, 3.35000000e-01, 1.20000000e-01,\n", - " 1.70000000e-01, 1.75000000e-01, 2.25000000e-02, 4.27500000e-01,\n", - " 5.50000000e-02, 1.32500000e-01, 1.57500000e-01, 4.07500000e-01,\n", - " 3.17500000e-01, 2.75000000e-02, 4.72500000e-01, 1.42500000e-01,\n", - " 1.02500000e-01, 1.12500000e-01, 2.65000000e-01, 1.35000000e-01,\n", - " 2.92500000e-01, 1.50000000e-02, 1.37500000e-01, 8.50000000e-02,\n", - " 1.20000000e-01, 4.25000000e-02, 4.89750000e+00, 1.25000000e-01,\n", - " 1.10000000e-01, 5.00000000e+00, 1.80000000e-01, 3.25000000e-02,\n", - " 0.00000000e+00, 3.25000000e-02, 1.50000000e-02, 1.25000000e-01,\n", - " 1.72500000e-01, 3.50000000e-02, 1.32500000e-01, 1.65000000e+00,\n", - " 1.05250000e+00, 1.27250000e+00, 4.44000000e+00, 3.85500000e+00,\n", - " 1.05000000e-01, 6.00000000e-02, 1.01000000e+00, 6.50000000e-01,\n", - " 2.19750000e+00, 1.56000000e+00, 2.25000000e-02, 5.50000000e-01,\n", - " 1.57500000e-01, 2.23250000e+00, 1.25000000e-02, 1.75000000e-02,\n", - " 2.75000000e-02, 1.25000000e-02, 7.87500000e-01, 6.22500000e-01,\n", - " 6.25000000e-01, 1.96250000e+00, 1.02500000e-01, 2.50000000e-02,\n", - " 9.77500000e-01, 3.25000000e-02, 1.02500000e-01, 1.57750000e+00,\n", - " 1.07500000e-01, 1.00000000e-01, 9.50000000e-02, 1.10000000e-01,\n", - " 5.75000000e-02, 1.27750000e+00, 7.25000000e-01, 2.25000000e-01,\n", - " 3.42500000e-01, 1.20000000e-01, 2.25000000e-02, 6.40000000e-01,\n", - " 4.00000000e-01, 9.12500000e-01, 9.00000000e-02, 1.60000000e-01,\n", - " 5.75000000e-02, 9.25000000e-02, 1.87500000e-01, 7.17500000e-01,\n", - " 2.02500000e-01, 7.37500000e-01, 2.82500000e-01, 1.05000000e-01,\n", - " 2.20000000e-01, 3.77500000e-01, 6.30000000e-01, 1.72000000e+00,\n", - " 1.92500000e-01, 9.12500000e-01, 8.50000000e-02, 8.25000000e-02,\n", - " 2.25000000e-01, 4.57500000e-01, 1.75000000e-01, 5.20000000e-01,\n", - " 3.50000000e-02, 1.17500000e-01, 6.50000000e-01, 3.40000000e-01,\n", - " 4.25000000e-02, 7.75000000e-02, 2.72500000e-01, 1.57500000e-01,\n", - " 2.97500000e-01, 2.00000000e-01, 2.75000000e-02, 8.75000000e-02,\n", - " 2.00000000e-02, 2.50000000e-03, 1.01500000e+00, 1.35750000e+00,\n", - " 6.50000000e-02, 4.75000000e-02, 3.00250000e+00, 1.35500000e+00,\n", - " 2.57500000e-01, 1.01500000e+00, 1.57500000e-01, 5.30000000e-01,\n", - " 7.00000000e-02, 6.25000000e-02, 7.07500000e-01, 8.50000000e-02,\n", - " 3.25000000e-02, 4.92500000e-01, 2.77500000e-01, 1.30000000e-01,\n", - " 1.14500000e+00, 4.00000000e-02, 9.25000000e-02, 4.75000000e-02,\n", - " 6.75000000e-02, 2.50000000e-02, 1.56250000e+00, 8.15000000e-01,\n", - " 9.25000000e-02, 4.25000000e-02, 6.65000000e-01, 7.00000000e-02,\n", - " 3.32500000e-01, 2.50000000e-03, 3.07500000e-01, 3.95000000e-01,\n", - " 1.12500000e-01, 3.72500000e-01, 6.25000000e-02, 1.98750000e+00,\n", - " 8.50000000e-02, 8.25000000e-02, 7.75000000e-02, 2.86000000e+00,\n", - " 8.75000000e-02, 2.07500000e-01, 2.25000000e-02, 1.25000000e-02,\n", - " 6.92500000e-01, 2.47500000e-01, 2.00000000e-02, 0.00000000e+00,\n", - " 8.80000000e-01, 4.55000000e-01, 1.31000000e+00, 5.70000000e-01,\n", - " 1.50000000e-02, 1.00000000e-02, 7.50000000e-02, 3.40000000e-01,\n", - " 4.02500000e-01, 6.25000000e-02, 0.00000000e+00, 2.25000000e-02,\n", - " 2.35000000e-01, 4.50000000e-02, 8.00000000e-02, 1.32500000e-01,\n", - " 8.77500000e-01, 5.75000000e-01, 1.75000000e-02, 6.00000000e-02,\n", - " 3.25000000e-02, 2.50000000e-02, 2.50000000e-02, 7.50000000e-02,\n", - " 7.50000000e-02, 9.62500000e-01, 9.17500000e-01, 7.00000000e-02,\n", - " 9.75000000e-02, 3.75000000e-02, 2.75000000e-02, 8.25000000e-02,\n", - " 2.50000000e-02, 2.50000000e-02, 1.70000000e-01, 1.30000000e-01,\n", - " 1.77500000e-01, 2.22500000e-01, 1.89750000e+00, 3.90000000e-01,\n", - " 3.45000000e-01, 3.60000000e-01, 6.72500000e-01, 5.00000000e-02,\n", - " 3.25000000e-01, 9.27500000e-01, 6.50000000e-02, 2.64000000e+00,\n", - " 1.97750000e+00, 1.21250000e+00, 1.35000000e-01, 3.75000000e-02,\n", - " 2.21250000e+00, 5.60000000e-01, 9.32500000e-01, 2.05000000e-01,\n", - " 4.75000000e-02, 7.65000000e-01, 6.15000000e-01, 2.50000000e-02,\n", - " 1.00000000e-02, 7.50000000e-03, 2.25000000e-01, 1.00000000e-02,\n", - " 1.04250000e+00, 2.23500000e+00, 1.00000000e-01, 2.05000000e-01,\n", - " 4.60000000e-01, 1.25000000e-02, 5.75000000e-02, 6.75000000e-01,\n", - " 7.25000000e-02, 1.20000000e-01, 2.57500000e-01, 1.40250000e+00,\n", - " 7.72500000e-01, 1.60000000e-01, 2.52500000e-01, 3.35000000e-01,\n", - " 3.75000000e-02, 1.70000000e-01, 2.15000000e-01, 9.00000000e-02,\n", - " 1.25000000e-02, 1.35000000e-01, 6.50000000e-02, 6.25000000e-02,\n", - " 1.42500000e-01, 1.77500000e-01, 2.62500000e-01, 7.00000000e-02,\n", - " 7.50000000e-03, 9.50000000e-02, 1.20750000e+00, 6.75000000e-02,\n", - " 5.90000000e-01, 6.00000000e-02, 2.15000000e-01, 1.22500000e+00,\n", - " 1.92250000e+00, 4.30000000e-01, 8.20000000e-01, 9.50000000e-02,\n", - " 8.75000000e-02, 6.25000000e-02, 4.57500000e-01, 7.50000000e-02,\n", - " 8.00000000e-02, 4.50000000e-02, 1.25000000e-01, 1.20000000e-01,\n", - " 1.27500000e+00, 3.67500000e-01, 1.45000000e-01, 2.50000000e-03,\n", - " 1.22500000e-01, 4.62500000e-01, 5.32500000e-01, 5.00000000e-01,\n", - " 4.75000000e-02, 1.85000000e-01, 3.50000000e-01, 6.25000000e-02,\n", - " 1.57500000e-01, 9.50000000e-02, 4.25000000e-02, 7.00000000e-02,\n", - " 1.52500000e-01, 1.17500000e-01, 1.02500000e-01, 2.00000000e-02,\n", - " 7.52500000e-01, 9.57500000e-01, 3.75000000e-02, 4.00000000e-02,\n", - " 8.75000000e-02, 2.79500000e+00, 1.51250000e+00, 3.25000000e-02,\n", - " 1.06750000e+00, 5.55000000e-01, 2.50000000e-03, 1.07500000e-01,\n", - " 6.00000000e-02, 5.10000000e-01, 7.50000000e-01, 1.03000000e+00,\n", - " 7.00000000e-02, 2.00250000e+00, 3.42500000e-01, 1.45000000e+00,\n", - " 1.87500000e-01, 2.62500000e-01, 1.11750000e+00, 8.45000000e-01,\n", - " 3.47500000e-01, 3.97500000e-01, 0.00000000e+00, 2.50000000e-01,\n", - " 2.22500000e-01, 3.00000000e-02, 1.50000000e-02, 2.75000000e-02,\n", - " 4.25000000e-02, 8.00000000e-02, 1.65000000e-01, 1.12500000e-01,\n", - " 9.50000000e-02, 4.47500000e-01, 4.87500000e-01, 1.00000000e-02,\n", - " 9.75000000e-02, 1.35000000e-01, 6.00000000e-02, 9.25000000e-02,\n", - " 5.00000000e-02, 1.62500000e-01, 4.17500000e-01, 6.00000000e-02,\n", - " 4.75000000e-02, 2.74000000e+00, 1.07500000e-01, 9.25000000e-02,\n", - " 8.00000000e-02, 5.12500000e-01, 1.17500000e-01, 4.25000000e-02,\n", - " 3.60000000e-01, 9.50000000e-02, 6.62500000e-01, 1.75000000e-01,\n", - " 1.49750000e+00, 1.08250000e+00, 1.02500000e+00, 9.25000000e-02,\n", - " 1.00000000e-02, 1.17500000e-01, 2.75000000e-02, 6.75000000e-02,\n", - " 1.39000000e+00, 7.25000000e-02, 7.50000000e-03, 4.00000000e-02,\n", - " 9.30000000e-01, 2.35000000e-01, 5.50000000e-02, 1.90000000e-01,\n", - " 9.20000000e-01, 1.67000000e+00, 3.06000000e+00, 3.55000000e-01,\n", - " 1.61000000e+00, 2.16250000e+00, 1.87500000e-01, 9.75000000e-02,\n", - " 2.62500000e-01, 3.67000000e+00, 1.96000000e+00, 1.00000000e-02,\n", - " 1.12500000e-01, 1.65000000e-01, 7.00000000e-02, 3.20000000e-01,\n", - " 1.45000000e-01, 2.50000000e-01, 2.77500000e-01, 1.47750000e+00,\n", - " 3.47500000e-01, 2.00000000e-02, 4.20000000e-01, 6.62500000e-01,\n", - " 3.97500000e-01, 3.47500000e-01, 2.25000000e-02, 1.92500000e-01,\n", - " 1.17500000e-01, 4.25000000e-02, 2.25000000e-02, 1.84750000e+00,\n", - " 1.35000000e-01, 5.25000000e-02, 1.75000000e-01, 3.35000000e-01,\n", - " 1.97750000e+00, 1.10500000e+00, 1.72500000e-01, 2.40000000e-01,\n", - " 9.70000000e-01, 1.37500000e-01, 2.35000000e-01, 7.50000000e-01,\n", - " 6.35000000e-01, 9.25000000e-02, 1.15250000e+00, 1.05000000e-01,\n", - " 2.29500000e+00, 1.22500000e-01, 3.67500000e-01, 1.75000000e-02,\n", - " 1.25000000e-02, 3.25000000e-02, 1.90000000e-01, 1.27500000e-01,\n", - " 2.05000000e-01, 1.12500000e-01, 8.75000000e-02, 1.07500000e-01,\n", - " 3.77500000e-01, 1.30000000e-01, 5.25000000e-02, 5.00000000e-01,\n", - " 4.25000000e-02, 1.60500000e+00, 3.87500000e-01, 3.95000000e-01,\n", - " 9.25000000e-02, 1.45000000e-01, 5.50000000e-02, 1.78500000e+00,\n", - " 7.00000000e-02, 3.25000000e-02, 3.72500000e-01, 3.31000000e+00,\n", - " 5.00000000e-02, 8.00000000e-02, 1.00000000e-02, 1.53000000e+00,\n", - " 2.50000000e-02, 3.45000000e-01, 5.00000000e-02, 1.37750000e+00,\n", - " 5.60000000e-01, 2.25000000e-02, 5.00000000e-03, 9.25000000e-01,\n", - " 1.75000000e-02, 1.52500000e-01, 5.10000000e-01, 1.35000000e-01,\n", - " 6.17500000e-01, 2.07500000e-01, 4.40000000e-01, 7.00000000e-02,\n", - " 1.30000000e-01, 2.25000000e-02, 1.90250000e+00, 1.95000000e+00,\n", - " 4.22500000e-01, 1.03750000e+00, 2.13000000e+00, 8.25000000e-02,\n", - " 1.25000000e-02, 4.25000000e-02, 8.75000000e-02, 1.12500000e-01,\n", - " 3.75000000e-02, 1.50000000e-02, 8.25000000e-02, 2.00000000e-01,\n", - " 2.77500000e-01, 8.25000000e-02, 4.50000000e-02, 4.25000000e-02,\n", - " 5.75000000e-02, 7.50000000e-03, 1.85000000e-01, 9.50000000e-02,\n", - " 4.50000000e-02, 2.32500000e-01, 2.00000000e-02, 3.57500000e-01,\n", - " 6.10000000e-01, 2.22500000e-01, 5.80000000e-01, 1.05250000e+00,\n", - " 3.32500000e-01, 1.60000000e+00, 1.75000000e-01, 3.07500000e-01,\n", - " 6.00000000e-01, 2.42500000e-01, 1.15000000e-01, 1.45000000e-01,\n", - " 6.50000000e-02, 8.25000000e-02, 2.50000000e-03, 9.25000000e-02,\n", - " 4.25000000e-02, 2.25000000e-02, 1.02500000e-01, 4.67500000e-01,\n", - " 1.10000000e-01, 9.00000000e-02, 3.75000000e-02, 1.62500000e-01,\n", - " 1.07000000e+00, 4.52500000e-01, 1.22500000e-01, 2.97500000e-01,\n", - " 8.75000000e-02, 2.20000000e+00, 1.55000000e-01, 7.47500000e-01,\n", - " 1.50000000e-01, 1.90000000e-01, 7.75000000e-02, 2.20000000e-01,\n", - " 1.15000000e-01, 8.25000000e-02, 2.80000000e-01, 1.50000000e-02,\n", - " 4.50000000e-02, 1.17500000e-01, 8.75000000e-02, 1.15000000e-01,\n", - " 3.25000000e-02, 1.67500000e-01, 1.00000000e+00, 2.87500000e-01,\n", - " 4.52500000e-01, 2.72500000e-01, 1.57500000e-01, 3.45000000e-01,\n", - " 1.15250000e+00, 8.77500000e-01, 6.50000000e-02, 2.60000000e-01,\n", - " 1.32500000e-01, 1.72500000e-01, 3.90000000e-01, 7.42500000e-01,\n", - " 7.50000000e-03, 1.25000000e-02, 8.82500000e-01, 9.10000000e-01,\n", - " 1.40000000e-01, 1.75000000e-02, 9.75000000e-02, 6.50000000e-02,\n", - " 7.50000000e-03, 1.75000000e-02, 7.50000000e-02, 8.75000000e-02,\n", - " 9.92500000e-01, 4.80000000e-01, 5.25000000e-02, 1.47500000e-01,\n", - " 1.03000000e+00, 6.00000000e-02, 1.87000000e+00, 9.00000000e-02,\n", - " 1.34750000e+00, 1.22500000e-01, 5.32500000e-01, 1.00000000e-02,\n", - " 3.25000000e-02, 8.50000000e-02, 3.50000000e-02, 5.67500000e-01,\n", - " 3.45000000e-01, 2.72500000e-01, 4.00000000e-02, 1.07500000e-01,\n", - " 7.50000000e-03, 4.60000000e-01, 1.27500000e-01, 1.50000000e-02,\n", - " 2.10000000e-01, 7.32500000e-01, 2.60000000e-01, 2.50000000e-03,\n", - " 1.08500000e+00, 7.50000000e-02, 7.65000000e-01, 1.25000000e-02,\n", - " 7.50000000e-03, 9.75000000e-02, 4.55000000e-01, 7.00000000e-02,\n", - " 1.90000000e-01, 4.42500000e-01, 2.25000000e-02, 3.00000000e-02,\n", - " 1.58000000e+00, 1.00000000e-02, 1.00000000e-02, 8.00000000e-02,\n", - " 9.25000000e-02, 8.00000000e-02, 2.75000000e-02, 1.35000000e-01,\n", - " 1.15000000e-01, 1.60000000e-01, 1.20000000e-01, 3.45000000e-01,\n", - " 6.22500000e-01, 4.75000000e-02, 2.50000000e-02, 6.50000000e-02,\n", - " 1.07500000e-01, 1.10000000e-01, 3.60000000e-01, 4.25000000e-02,\n", - " 2.25000000e-02, 1.22500000e-01, 6.37500000e-01, 2.07500000e-01,\n", - " 1.17500000e-01, 4.43000000e+00, 5.00000000e-03, 5.50000000e-02,\n", - " 5.25000000e-02, 1.50000000e-02, 1.75000000e-02, 2.25000000e-02,\n", - " 2.00000000e-02, 1.45000000e-01, 3.50000000e-02, 4.65000000e-01,\n", - " 2.40500000e+00, 1.37500000e-01, 4.75000000e-02, 1.62500000e-01,\n", - " 8.67500000e-01, 6.75000000e-02, 4.25000000e-02, 1.87500000e-01,\n", - " 3.75000000e-02, 2.17500000e-01, 3.70000000e-01, 3.02500000e-01,\n", - " 2.75000000e-02, 1.40000000e-01, 9.75000000e-02, 7.25000000e-02,\n", - " 1.17500000e-01, 6.55000000e-01, 1.40000000e-01, 2.27500000e-01,\n", - " 3.70000000e-01, 4.50000000e-01, 3.50000000e-02, 1.00000000e-01,\n", - " 4.15000000e-01, 3.80000000e-01, 1.35500000e+00, 3.25000000e-02,\n", - " 4.97500000e-01, 6.00000000e-02, 1.47500000e-01, 2.07500000e-01,\n", - " 5.00000000e-02, 2.07500000e-01, 7.50000000e-02, 6.25000000e-02,\n", - " 1.75000000e-01, 1.97500000e-01, 4.50000000e-02, 2.00000000e-02,\n", - " 1.60000000e-01, 2.82500000e-01, 1.77500000e-01, 1.17500000e-01,\n", - " 6.75000000e-02, 7.50000000e-03, 2.85000000e-01, 8.02500000e-01,\n", - " 1.07500000e-01, 5.50000000e-02, 2.50000000e-03, 1.65000000e-01,\n", - " 1.17500000e-01, 3.75000000e-02, 4.50000000e-02, 1.97500000e-01,\n", - " 6.00000000e-02, 1.28000000e+00, 1.17500000e-01, 4.50000000e-02,\n", - " 0.00000000e+00, 2.55000000e-01, 6.00000000e-02, 8.00000000e-02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.37811100e+03, -2.52731782e+03, 9.15181649e+01, 4.95038087e+01,\n", - " 0.00000000e+00, 0.00000000e+00, 1.83771424e+02, 3.32266281e+02,\n", - " 0.00000000e+00, 1.16801360e+02, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), array([ 1.40030000e-01, 6.54170000e-01, 1.27699000e+00, 9.04970000e-01,\n", - " 4.80700000e-02, 8.77800000e-02, 5.85200000e-02, 1.23310000e-01,\n", - " 2.02730000e-01, 3.13500000e-02, 1.23310000e-01, 9.82300000e-02,\n", - " 2.19868000e+00, 8.36000000e-03, 2.92600000e-02, 1.88100000e-02,\n", - " 1.09725000e+00, 7.90020000e-01, 1.19130000e-01, 1.86010000e-01,\n", - " 4.38900000e-02, 2.29900000e-02, 1.25400000e-02, 0.00000000e+00,\n", - " 4.18000000e-02, 1.37940000e-01, 1.04500000e-02, 8.04650000e-01,\n", - " 1.56750000e-01, 6.45810000e-01, 3.42760000e-01, 2.61250000e-01,\n", - " 2.88420000e-01, 1.25400000e-02, 0.00000000e+00, 1.46300000e-02,\n", - " 1.63020000e-01, 7.52400000e-02, 3.76200000e-02, 2.71700000e-02,\n", - " 9.40500000e-02, 8.77800000e-02, 2.36170000e-01, 4.97420000e-01,\n", - " 7.94200000e-02, 8.25550000e-01, 2.61250000e-01, 1.05127000e+00,\n", - " 1.31670000e-01, 3.67422000e+00, 2.29900000e-02, 2.92600000e-02,\n", - " 9.61400000e-02, 6.89700000e-02, 1.54660000e-01, 3.76200000e-02,\n", - " 1.37940000e-01, 1.09934000e+00, 1.90817000e+00, 5.12050000e-01,\n", - " 3.57390000e-01, 3.13500000e-01, 1.25400000e-01, 5.35040000e-01,\n", - " 6.47900000e-02, 5.22500000e-02, 5.09960000e-01, 4.34720000e-01,\n", - " 2.09000000e-02, 0.00000000e+00, 9.61400000e-02, 9.82300000e-02,\n", - " 8.36000000e-03, 2.29900000e-02, 1.75560000e-01, 3.59480000e-01,\n", - " 2.13180000e-01, 6.89700000e-02, 7.10600000e-02, 5.26680000e-01,\n", - " 1.22474000e+00, 1.08889000e+00, 2.38260000e-01, 3.84560000e-01,\n", - " 4.49350000e-01, 5.01600000e-01, 5.64300000e-02, 1.17040000e-01,\n", - " 2.09000000e-02, 2.50800000e-02, 3.76200000e-02, 0.00000000e+00,\n", - " 1.04500000e-02, 2.92600000e-02, 4.24270000e-01, 1.10770000e-01,\n", - " 1.25400000e-02, 0.00000000e+00, 3.13500000e-02, 3.40670000e-01,\n", - " 2.71700000e-01, 9.69760000e-01, 1.27072000e+00, 2.36170000e-01,\n", - " 3.76200000e-02, 1.88100000e-02, 9.82300000e-02, 1.88100000e-02,\n", - " 5.62210000e-01, 4.36810000e-01, 1.33760000e-01, 1.08680000e-01,\n", - " 1.13905000e+00, 2.29900000e-01, 0.00000000e+00, 5.49670000e-01,\n", - " 3.61570000e-01, 1.78486000e+00, 2.88420000e-01, 8.54810000e-01,\n", - " 1.77650000e-01, 2.42440000e-01, 6.62530000e-01, 1.11188000e+00,\n", - " 9.94840000e-01, 1.99177000e+00, 2.96780000e-01, 1.27490000e-01,\n", - " 8.46450000e-01, 1.04918000e+00, 3.57390000e-01, 1.96460000e-01,\n", - " 4.18000000e-02, 1.67200000e-01, 3.11410000e-01, 2.17360000e-01,\n", - " 1.83920000e-01, 5.43400000e-01, 1.54660000e-01, 5.22500000e-02,\n", - " 1.03873000e+00, 8.84070000e-01, 7.75390000e-01, 8.10920000e-01,\n", - " 1.23310000e-01, 1.40030000e-01, 2.71700000e-02, 7.31500000e-02,\n", - " 1.50480000e-01, 2.88420000e-01, 0.00000000e+00, 0.00000000e+00,\n", - " 2.07537000e+00, 3.01796000e+00, 6.55215000e+00, 1.71380000e-01,\n", - " 1.88100000e-01, 1.02410000e-01, 2.29900000e-02, 2.50800000e-02,\n", - " 6.27000000e-02, 5.43400000e-02, 3.36490000e-01, 3.07230000e-01,\n", - " 2.88420000e-01, 8.36000000e-02, 2.16524000e+00, 3.96473000e+00,\n", - " 6.06100000e-02, 5.22500000e-02, 1.40030000e-01, 5.64300000e-02,\n", - " 6.27000000e-02, 1.48390000e-01, 2.80060000e-01, 1.00320000e-01,\n", - " 1.42120000e-01, 1.46300000e-01, 1.88100000e-02, 3.57390000e-01,\n", - " 4.59800000e-02, 1.10770000e-01, 1.31670000e-01, 3.40670000e-01,\n", - " 2.65430000e-01, 2.29900000e-02, 3.95010000e-01, 1.19130000e-01,\n", - " 8.56900000e-02, 9.40500000e-02, 2.21540000e-01, 1.12860000e-01,\n", - " 2.44530000e-01, 1.25400000e-02, 1.14950000e-01, 7.10600000e-02,\n", - " 1.00320000e-01, 3.55300000e-02, 4.09431000e+00, 1.04500000e-01,\n", - " 9.19600000e-02, 4.18000000e+00, 1.50480000e-01, 2.71700000e-02,\n", - " 0.00000000e+00, 2.71700000e-02, 1.25400000e-02, 1.04500000e-01,\n", - " 1.44210000e-01, 2.92600000e-02, 1.10770000e-01, 1.37940000e+00,\n", - " 8.79890000e-01, 1.06381000e+00, 3.71184000e+00, 3.22278000e+00,\n", - " 8.77800000e-02, 5.01600000e-02, 8.44360000e-01, 5.43400000e-01,\n", - " 1.83711000e+00, 1.30416000e+00, 1.88100000e-02, 4.59800000e-01,\n", - " 1.31670000e-01, 1.86637000e+00, 1.04500000e-02, 1.46300000e-02,\n", - " 2.29900000e-02, 1.04500000e-02, 6.58350000e-01, 5.20410000e-01,\n", - " 5.22500000e-01, 1.64065000e+00, 8.56900000e-02, 2.09000000e-02,\n", - " 8.17190000e-01, 2.71700000e-02, 8.56900000e-02, 1.31879000e+00,\n", - " 8.98700000e-02, 8.36000000e-02, 7.94200000e-02, 9.19600000e-02,\n", - " 4.80700000e-02, 1.06799000e+00, 6.06100000e-01, 1.88100000e-01,\n", - " 2.86330000e-01, 1.00320000e-01, 1.88100000e-02, 5.35040000e-01,\n", - " 3.34400000e-01, 7.62850000e-01, 7.52400000e-02, 1.33760000e-01,\n", - " 4.80700000e-02, 7.73300000e-02, 1.56750000e-01, 5.99830000e-01,\n", - " 1.69290000e-01, 6.16550000e-01, 2.36170000e-01, 8.77800000e-02,\n", - " 1.83920000e-01, 3.15590000e-01, 5.26680000e-01, 1.43792000e+00,\n", - " 1.60930000e-01, 7.62850000e-01, 7.10600000e-02, 6.89700000e-02,\n", - " 1.88100000e-01, 3.82470000e-01, 1.46300000e-01, 4.34720000e-01,\n", - " 2.92600000e-02, 9.82300000e-02, 5.43400000e-01, 2.84240000e-01,\n", - " 3.55300000e-02, 6.47900000e-02, 2.27810000e-01, 1.31670000e-01,\n", - " 2.48710000e-01, 1.67200000e-01, 2.29900000e-02, 7.31500000e-02,\n", - " 1.67200000e-02, 2.09000000e-03, 8.48540000e-01, 1.13487000e+00,\n", - " 5.43400000e-02, 3.97100000e-02, 2.51009000e+00, 1.13278000e+00,\n", - " 2.15270000e-01, 8.48540000e-01, 1.31670000e-01, 4.43080000e-01,\n", - " 5.85200000e-02, 5.22500000e-02, 5.91470000e-01, 7.10600000e-02,\n", - " 2.71700000e-02, 4.11730000e-01, 2.31990000e-01, 1.08680000e-01,\n", - " 9.57220000e-01, 3.34400000e-02, 7.73300000e-02, 3.97100000e-02,\n", - " 5.64300000e-02, 2.09000000e-02, 1.30625000e+00, 6.81340000e-01,\n", - " 7.73300000e-02, 3.55300000e-02, 5.55940000e-01, 5.85200000e-02,\n", - " 2.77970000e-01, 2.09000000e-03, 2.57070000e-01, 3.30220000e-01,\n", - " 9.40500000e-02, 3.11410000e-01, 5.22500000e-02, 1.66155000e+00,\n", - " 7.10600000e-02, 6.89700000e-02, 6.47900000e-02, 2.39096000e+00,\n", - " 7.31500000e-02, 1.73470000e-01, 1.88100000e-02, 1.04500000e-02,\n", - " 5.78930000e-01, 2.06910000e-01, 1.67200000e-02, 0.00000000e+00,\n", - " 7.35680000e-01, 3.80380000e-01, 1.09516000e+00, 4.76520000e-01,\n", - " 1.25400000e-02, 8.36000000e-03, 6.27000000e-02, 2.84240000e-01,\n", - " 3.36490000e-01, 5.22500000e-02, 0.00000000e+00, 1.88100000e-02,\n", - " 1.96460000e-01, 3.76200000e-02, 6.68800000e-02, 1.10770000e-01,\n", - " 7.33590000e-01, 4.80700000e-01, 1.46300000e-02, 5.01600000e-02,\n", - " 2.71700000e-02, 2.09000000e-02, 2.09000000e-02, 6.27000000e-02,\n", - " 6.27000000e-02, 8.04650000e-01, 7.67030000e-01, 5.85200000e-02,\n", - " 8.15100000e-02, 3.13500000e-02, 2.29900000e-02, 6.89700000e-02,\n", - " 2.09000000e-02, 2.09000000e-02, 1.42120000e-01, 1.08680000e-01,\n", - " 1.48390000e-01, 1.86010000e-01, 1.58631000e+00, 3.26040000e-01,\n", - " 2.88420000e-01, 3.00960000e-01, 5.62210000e-01, 4.18000000e-02,\n", - " 2.71700000e-01, 7.75390000e-01, 5.43400000e-02, 2.20704000e+00,\n", - " 1.65319000e+00, 1.01365000e+00, 1.12860000e-01, 3.13500000e-02,\n", - " 1.84965000e+00, 4.68160000e-01, 7.79570000e-01, 1.71380000e-01,\n", - " 3.97100000e-02, 6.39540000e-01, 5.14140000e-01, 2.09000000e-02,\n", - " 8.36000000e-03, 6.27000000e-03, 1.88100000e-01, 8.36000000e-03,\n", - " 8.71530000e-01, 1.86846000e+00, 8.36000000e-02, 1.71380000e-01,\n", - " 3.84560000e-01, 1.04500000e-02, 4.80700000e-02, 5.64300000e-01,\n", - " 6.06100000e-02, 1.00320000e-01, 2.15270000e-01, 1.17249000e+00,\n", - " 6.45810000e-01, 1.33760000e-01, 2.11090000e-01, 2.80060000e-01,\n", - " 3.13500000e-02, 1.42120000e-01, 1.79740000e-01, 7.52400000e-02,\n", - " 1.04500000e-02, 1.12860000e-01, 5.43400000e-02, 5.22500000e-02,\n", - " 1.19130000e-01, 1.48390000e-01, 2.19450000e-01, 5.85200000e-02,\n", - " 6.27000000e-03, 7.94200000e-02, 1.00947000e+00, 5.64300000e-02,\n", - " 4.93240000e-01, 5.01600000e-02, 1.79740000e-01, 1.02410000e+00,\n", - " 1.60721000e+00, 3.59480000e-01, 6.85520000e-01, 7.94200000e-02,\n", - " 7.31500000e-02, 5.22500000e-02, 3.82470000e-01, 6.27000000e-02,\n", - " 6.68800000e-02, 3.76200000e-02, 1.04500000e-01, 1.00320000e-01,\n", - " 1.06590000e+00, 3.07230000e-01, 1.21220000e-01, 2.09000000e-03,\n", - " 1.02410000e-01, 3.86650000e-01, 4.45170000e-01, 4.18000000e-01,\n", - " 3.97100000e-02, 1.54660000e-01, 2.92600000e-01, 5.22500000e-02,\n", - " 1.31670000e-01, 7.94200000e-02, 3.55300000e-02, 5.85200000e-02,\n", - " 1.27490000e-01, 9.82300000e-02, 8.56900000e-02, 1.67200000e-02,\n", - " 6.29090000e-01, 8.00470000e-01, 3.13500000e-02, 3.34400000e-02,\n", - " 7.31500000e-02, 2.33662000e+00, 1.26445000e+00, 2.71700000e-02,\n", - " 8.92430000e-01, 4.63980000e-01, 2.09000000e-03, 8.98700000e-02,\n", - " 5.01600000e-02, 4.26360000e-01, 6.27000000e-01, 8.61080000e-01,\n", - " 5.85200000e-02, 1.67409000e+00, 2.86330000e-01, 1.21220000e+00,\n", - " 1.56750000e-01, 2.19450000e-01, 9.34230000e-01, 7.06420000e-01,\n", - " 2.90510000e-01, 3.32310000e-01, 0.00000000e+00, 2.09000000e-01,\n", - " 1.86010000e-01, 2.50800000e-02, 1.25400000e-02, 2.29900000e-02,\n", - " 3.55300000e-02, 6.68800000e-02, 1.37940000e-01, 9.40500000e-02,\n", - " 7.94200000e-02, 3.74110000e-01, 4.07550000e-01, 8.36000000e-03,\n", - " 8.15100000e-02, 1.12860000e-01, 5.01600000e-02, 7.73300000e-02,\n", - " 4.18000000e-02, 1.35850000e-01, 3.49030000e-01, 5.01600000e-02,\n", - " 3.97100000e-02, 2.29064000e+00, 8.98700000e-02, 7.73300000e-02,\n", - " 6.68800000e-02, 4.28450000e-01, 9.82300000e-02, 3.55300000e-02,\n", - " 3.00960000e-01, 7.94200000e-02, 5.53850000e-01, 1.46300000e-01,\n", - " 1.25191000e+00, 9.04970000e-01, 8.56900000e-01, 7.73300000e-02,\n", - " 8.36000000e-03, 9.82300000e-02, 2.29900000e-02, 5.64300000e-02,\n", - " 1.16204000e+00, 6.06100000e-02, 6.27000000e-03, 3.34400000e-02,\n", - " 7.77480000e-01, 1.96460000e-01, 4.59800000e-02, 1.58840000e-01,\n", - " 7.69120000e-01, 1.39612000e+00, 2.55816000e+00, 2.96780000e-01,\n", - " 1.34596000e+00, 1.80785000e+00, 1.56750000e-01, 8.15100000e-02,\n", - " 2.19450000e-01, 3.06812000e+00, 1.63856000e+00, 8.36000000e-03,\n", - " 9.40500000e-02, 1.37940000e-01, 5.85200000e-02, 2.67520000e-01,\n", - " 1.21220000e-01, 2.09000000e-01, 2.31990000e-01, 1.23519000e+00,\n", - " 2.90510000e-01, 1.67200000e-02, 3.51120000e-01, 5.53850000e-01,\n", - " 3.32310000e-01, 2.90510000e-01, 1.88100000e-02, 1.60930000e-01,\n", - " 9.82300000e-02, 3.55300000e-02, 1.88100000e-02, 1.54451000e+00,\n", - " 1.12860000e-01, 4.38900000e-02, 1.46300000e-01, 2.80060000e-01,\n", - " 1.65319000e+00, 9.23780000e-01, 1.44210000e-01, 2.00640000e-01,\n", - " 8.10920000e-01, 1.14950000e-01, 1.96460000e-01, 6.27000000e-01,\n", - " 5.30860000e-01, 7.73300000e-02, 9.63490000e-01, 8.77800000e-02,\n", - " 1.91862000e+00, 1.02410000e-01, 3.07230000e-01, 1.46300000e-02,\n", - " 1.04500000e-02, 2.71700000e-02, 1.58840000e-01, 1.06590000e-01,\n", - " 1.71380000e-01, 9.40500000e-02, 7.31500000e-02, 8.98700000e-02,\n", - " 3.15590000e-01, 1.08680000e-01, 4.38900000e-02, 4.18000000e-01,\n", - " 3.55300000e-02, 1.34178000e+00, 3.23950000e-01, 3.30220000e-01,\n", - " 7.73300000e-02, 1.21220000e-01, 4.59800000e-02, 1.49226000e+00,\n", - " 5.85200000e-02, 2.71700000e-02, 3.11410000e-01, 2.76716000e+00,\n", - " 4.18000000e-02, 6.68800000e-02, 8.36000000e-03, 1.27908000e+00,\n", - " 2.09000000e-02, 2.88420000e-01, 4.18000000e-02, 1.15159000e+00,\n", - " 4.68160000e-01, 1.88100000e-02, 4.18000000e-03, 7.73300000e-01,\n", - " 1.46300000e-02, 1.27490000e-01, 4.26360000e-01, 1.12860000e-01,\n", - " 5.16230000e-01, 1.73470000e-01, 3.67840000e-01, 5.85200000e-02,\n", - " 1.08680000e-01, 1.88100000e-02, 1.59049000e+00, 1.63020000e+00,\n", - " 3.53210000e-01, 8.67350000e-01, 1.78068000e+00, 6.89700000e-02,\n", - " 1.04500000e-02, 3.55300000e-02, 7.31500000e-02, 9.40500000e-02,\n", - " 3.13500000e-02, 1.25400000e-02, 6.89700000e-02, 1.67200000e-01,\n", - " 2.31990000e-01, 6.89700000e-02, 3.76200000e-02, 3.55300000e-02,\n", - " 4.80700000e-02, 6.27000000e-03, 1.54660000e-01, 7.94200000e-02,\n", - " 3.76200000e-02, 1.94370000e-01, 1.67200000e-02, 2.98870000e-01,\n", - " 5.09960000e-01, 1.86010000e-01, 4.84880000e-01, 8.79890000e-01,\n", - " 2.77970000e-01, 1.33760000e+00, 1.46300000e-01, 2.57070000e-01,\n", - " 5.01600000e-01, 2.02730000e-01, 9.61400000e-02, 1.21220000e-01,\n", - " 5.43400000e-02, 6.89700000e-02, 2.09000000e-03, 7.73300000e-02,\n", - " 3.55300000e-02, 1.88100000e-02, 8.56900000e-02, 3.90830000e-01,\n", - " 9.19600000e-02, 7.52400000e-02, 3.13500000e-02, 1.35850000e-01,\n", - " 8.94520000e-01, 3.78290000e-01, 1.02410000e-01, 2.48710000e-01,\n", - " 7.31500000e-02, 1.83920000e+00, 1.29580000e-01, 6.24910000e-01,\n", - " 1.25400000e-01, 1.58840000e-01, 6.47900000e-02, 1.83920000e-01,\n", - " 9.61400000e-02, 6.89700000e-02, 2.34080000e-01, 1.25400000e-02,\n", - " 3.76200000e-02, 9.82300000e-02, 7.31500000e-02, 9.61400000e-02,\n", - " 2.71700000e-02, 1.40030000e-01, 8.36000000e-01, 2.40350000e-01,\n", - " 3.78290000e-01, 2.27810000e-01, 1.31670000e-01, 2.88420000e-01,\n", - " 9.63490000e-01, 7.33590000e-01, 5.43400000e-02, 2.17360000e-01,\n", - " 1.10770000e-01, 1.44210000e-01, 3.26040000e-01, 6.20730000e-01,\n", - " 6.27000000e-03, 1.04500000e-02, 7.37770000e-01, 7.60760000e-01,\n", - " 1.17040000e-01, 1.46300000e-02, 8.15100000e-02, 5.43400000e-02,\n", - " 6.27000000e-03, 1.46300000e-02, 6.27000000e-02, 7.31500000e-02,\n", - " 8.29730000e-01, 4.01280000e-01, 4.38900000e-02, 1.23310000e-01,\n", - " 8.61080000e-01, 5.01600000e-02, 1.56332000e+00, 7.52400000e-02,\n", - " 1.12651000e+00, 1.02410000e-01, 4.45170000e-01, 8.36000000e-03,\n", - " 2.71700000e-02, 7.10600000e-02, 2.92600000e-02, 4.74430000e-01,\n", - " 2.88420000e-01, 2.27810000e-01, 3.34400000e-02, 8.98700000e-02,\n", - " 6.27000000e-03, 3.84560000e-01, 1.06590000e-01, 1.25400000e-02,\n", - " 1.75560000e-01, 6.12370000e-01, 2.17360000e-01, 2.09000000e-03,\n", - " 9.07060000e-01, 6.27000000e-02, 6.39540000e-01, 1.04500000e-02,\n", - " 6.27000000e-03, 8.15100000e-02, 3.80380000e-01, 5.85200000e-02,\n", - " 1.58840000e-01, 3.69930000e-01, 1.88100000e-02, 2.50800000e-02,\n", - " 1.32088000e+00, 8.36000000e-03, 8.36000000e-03, 6.68800000e-02,\n", - " 7.73300000e-02, 6.68800000e-02, 2.29900000e-02, 1.12860000e-01,\n", - " 9.61400000e-02, 1.33760000e-01, 1.00320000e-01, 2.88420000e-01,\n", - " 5.20410000e-01, 3.97100000e-02, 2.09000000e-02, 5.43400000e-02,\n", - " 8.98700000e-02, 9.19600000e-02, 3.00960000e-01, 3.55300000e-02,\n", - " 1.88100000e-02, 1.02410000e-01, 5.32950000e-01, 1.73470000e-01,\n", - " 9.82300000e-02, 3.70348000e+00, 4.18000000e-03, 4.59800000e-02,\n", - " 4.38900000e-02, 1.25400000e-02, 1.46300000e-02, 1.88100000e-02,\n", - " 1.67200000e-02, 1.21220000e-01, 2.92600000e-02, 3.88740000e-01,\n", - " 2.01058000e+00, 1.14950000e-01, 3.97100000e-02, 1.35850000e-01,\n", - " 7.25230000e-01, 5.64300000e-02, 3.55300000e-02, 1.56750000e-01,\n", - " 3.13500000e-02, 1.81830000e-01, 3.09320000e-01, 2.52890000e-01,\n", - " 2.29900000e-02, 1.17040000e-01, 8.15100000e-02, 6.06100000e-02,\n", - " 9.82300000e-02, 5.47580000e-01, 1.17040000e-01, 1.90190000e-01,\n", - " 3.09320000e-01, 3.76200000e-01, 2.92600000e-02, 8.36000000e-02,\n", - " 3.46940000e-01, 3.17680000e-01, 1.13278000e+00, 2.71700000e-02,\n", - " 4.15910000e-01, 5.01600000e-02, 1.23310000e-01, 1.73470000e-01,\n", - " 4.18000000e-02, 1.73470000e-01, 6.27000000e-02, 5.22500000e-02,\n", - " 1.46300000e-01, 1.65110000e-01, 3.76200000e-02, 1.67200000e-02,\n", - " 1.33760000e-01, 2.36170000e-01, 1.48390000e-01, 9.82300000e-02,\n", - " 5.64300000e-02, 6.27000000e-03, 2.38260000e-01, 6.70890000e-01,\n", - " 8.98700000e-02, 4.59800000e-02, 2.09000000e-03, 1.37940000e-01,\n", - " 9.82300000e-02, 3.13500000e-02, 3.76200000e-02, 1.65110000e-01,\n", - " 5.01600000e-02, 1.07008000e+00, 9.82300000e-02, 3.76200000e-02,\n", - " 0.00000000e+00, 2.13180000e-01, 5.01600000e-02, 6.68800000e-02,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.39338208e+03, -2.52731782e+03, 9.54117639e+01, 5.47920936e+01,\n", - " 0.00000000e+00, 0.00000000e+00, 1.93110927e+02, 3.52730218e+02,\n", - " 0.00000000e+00, 1.24102306e+02, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00])]\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "IOPub data rate exceeded.\n", - "The notebook server will temporarily stop sending output\n", - "to the client in order to avoid crashing it.\n", - "To change this limit, set the config variable\n", - "`--NotebookApp.iopub_data_rate_limit`.\n", - "\n", - "Current values:\n", - "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", - "NotebookApp.rate_limit_window=3.0 (secs)\n", - "\n" - ] - } - ], + "outputs": [], "source": [ - "# Set simulation time duration.\n", - "hrs = 50\n", - "d.setTimeSimulationDuration(hrs * 3600)\n", - "\n", - "# Hydraulic analysis using epanet2.exe binary file.\n", + "## Set simulation time duration.\n", + "hrs = 100\n", + "d.setTimeSimulationDuration(hrs*3600)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "00fa50c4", + "metadata": {}, + "outputs": [], + "source": [ + "# # Hydraulic analysis using epanet2.exe binary file.\n", "start_1 = time.time()\n", "hyd_res_1 = d.getComputedTimeSeries_ENepanet()\n", "stop_1 = time.time()\n", - "hyd_res_1.disp()\n", - "\n", - "# Hydraulic analysis using epanet2.exe binary file.\n", + "# hyd_res_1.disp()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "953eff0b", + "metadata": {}, + "outputs": [], + "source": [ + "# # Hydraulic analysis using epanet2.exe binary file.\n", "start_2 = time.time()\n", "hyd_res_2 = d.getComputedTimeSeries()\n", "stop_2 = time.time()\n", - "hyd_res_2.disp()\n", - "\n", + "# hyd_res_2.disp()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "89571305", + "metadata": {}, + "outputs": [], + "source": [ "# Hydraulic analysis using the functions ENopenH, ENinit, ENrunH, ENgetnodevalue/&ENgetlinkvalue, ENnextH, ENcloseH.\n", "# (This function contains events)\n", "start_3 = time.time()\n", - "hyd_res_3 = d.getComputedHydraulicTimeSeries()\n", + "hyd_res_3 = d.getComputedHydraulicTimeSeries(['flow', 'pressure'])\n", "stop_3 = time.time()\n", - "hyd_res_3.disp()\n", - "\n", - "# Hydraulic analysis step-by-step using the functions ENopenH, ENinit, ENrunH, ENgetnodevalue/&ENgetlinkvalue,\n", - "# ENnextH, ENcloseH. (This function contains events)\n", - "etstep = 3600\n", - "d.setTimeReportingStep(etstep)\n", - "d.setTimeHydraulicStep(etstep)\n", - "d.setTimeQualityStep(etstep)\n", + "# hyd_res_3.disp()" + ] + }, + { + "cell_type": "markdown", + "id": "837dd8d9", + "metadata": {}, + "source": [ + "Hydraulic analysis step-by-step using the functions ENopenH, ENinit, ENrunH, ENgetnodevalue/&ENgetlinkvalue,\n", + "ENnextH, ENcloseH. (This function contains events)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b884f001", + "metadata": {}, + "outputs": [], + "source": [ "start_4 = time.time()\n", "d.openHydraulicAnalysis()\n", "d.initializeHydraulicAnalysis()\n", @@ -39721,8 +117,14 @@ " T_H.append(t)\n", " tstep = d.nextHydraulicAnalysisStep()\n", "d.closeHydraulicAnalysis()\n", - "stop_4 = time.time()\n", - "\n", + "stop_4 = time.time()" + ] + }, + { + "cell_type": "markdown", + "id": "dafa23c8", + "metadata": {}, + "source": [ "print(f'Pressure: {P}')\n", "print(f'Demand: {D}')\n", "print(f'Hydraulic Head {H}')\n", @@ -39731,71 +133,59 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, + "id": "3d6132f0", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Elapsed time for the function `getComputedTimeSeries_ENepanet` is: 0.26266789\n", - "Elapsed time for the function `getComputedTimeSeries` is: 0.26031613\n", - "Elapsed time for the function `getComputedHydraulicTimeSeries` is: 1.94164419\n", - "Elapsed time for `step-by-step` analysis is: 0.43556690\n" - ] - } - ], + "outputs": [], "source": [ - "print(f'Elapsed time for the function `getComputedTimeSeries_ENepanet` is: {stop_1 - start_1:.8f}')\n", - "print(f'Elapsed time for the function `getComputedTimeSeries` is: {stop_2 - start_2:.8f}')\n", - "print(f'Elapsed time for the function `getComputedHydraulicTimeSeries` is: {stop_3 - start_3:.8f}')\n", - "print(f'Elapsed time for `step-by-step` analysis is: {stop_4 - start_4:.8f}')" + "# Using API functions\n", + "start_5 = time.time()\n", + "d.api.ENopenH()\n", + "d.api.ENinitH(d.ToolkitConstants.EN_NOSAVE)\n", + "tstep, P, T_H, F = 1, [], [], []\n", + "while tstep > 0:\n", + " t = d.api.ENrunH()\n", + " P.append(d.api.ENgetnodevalues(d.ToolkitConstants.EN_PRESSURE))\n", + " # F.append(d.api.ENgetlinkvalues(d.ToolkitConstants.EN_FLOW))\n", + " T_H.append(t)\n", + " tstep = d.api.ENnextH()\n", + "d.api.ENcloseH()\n", + "stop_5 = time.time()" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, + "id": "3e9faa0d", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Close toolkit for the input file \"ky10\". EPANET Toolkit is unloaded.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ "# Unload library.\n", "d.unload()" ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b3e04bd7", + "metadata": {}, + "outputs": [], + "source": [ + "print(f'Elapsed time for the function `getComputedTimeSeries_ENepanet` is: {stop_1 - start_1:.8f}')\n", + "print(f'Elapsed time for the function `getComputedTimeSeries` is: {stop_2 - start_2:.8f}')\n", + "print(f'Elapsed time for the function `getComputedHydraulicTimeSeries` is: {stop_3 - start_3:.8f}')\n", + "print(f'Elapsed time for `step-by-step` analysis is: {stop_4 - start_4:.8f}')\n", + "print(f'Elapsed time for `API step-by-step` analysis is: {stop_5 - start_5:.8f}')" + ] } ], "metadata": { - "kernelspec": { - "display_name": "Python 3.10.6 64-bit (windows store)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.6" - }, - "vscode": { - "interpreter": { - "hash": "0df096debc758afc4e07b4a6d7176310e13b87e5b446a84739768769d4d90649" - } + "jupytext": { + "cell_metadata_filter": "-all", + "main_language": "python", + "notebook_metadata_filter": "-all" } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 5 } diff --git a/examples/notebooks/EX3_Quality_analysis.ipynb b/examples/notebooks/EX3_Quality_analysis.ipynb index 7d2bbf6..408ce1c 100644 --- a/examples/notebooks/EX3_Quality_analysis.ipynb +++ b/examples/notebooks/EX3_Quality_analysis.ipynb @@ -1,4753 +1,61 @@ { "cells": [ { - "cell_type": "markdown", - "id": "5e4d2cb5", + "cell_type": "code", + "execution_count": null, + "id": "612249f2", "metadata": {}, + "outputs": [], "source": [ - "### Runs the quality analysis of a network.\n", + "\"\"\" This example runs the quality analysis of a network.\n", + "\n", + " The example contains:\n", + " Load a network.\n", + " Run Water Quality analysis of a network.\n", + " Compute Quality step by step.\n", + " Unload library.\n", "\n", - "The example contains: \n", - "* Load a network.\n", - "* Run Water Quality analysis of a network.\n", - "* Compute Quality step by step. \n", - "* Unload library.\n" + " Based on EX3_Quality_analysis.m of EPANET-Matlab-Toolkit:\n", + " https://github.com/MariosDem/EPANET-Matlab-Toolkit/blob/master/examples/EX3_Quality_analysis.m\n", + "\"\"\"\n", + "from epyt import epanet\n", + "import time" ] }, { "cell_type": "code", - "execution_count": 1, - "id": "f58d05e2", + "execution_count": null, + "id": "a2cb86c0", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "EPANET version 20200 loaded (EPyT version 1.0.5).\n", - "Input File Net2.inp loaded successfully.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ - "from epyt import epanet\n", - "\n", "# Load a network.\n", "d = epanet('Net2.inp')" ] }, { "cell_type": "code", - "execution_count": 2, - "id": "a8396264", - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "\n", - "Time: [ 0 300 600 900 1200 1500 1800 2100 2400 2700\n", - " 3000 3300 3600 3900 4200 4500 4800 5100 5400 5700\n", - " 6000 6300 6600 6900 7200 7500 7800 8100 8400 8700\n", - " 9000 9300 9600 9900 10200 10500 10800 11100 11400 11700\n", - " 12000 12300 12600 12900 13200 13500 13800 14100 14400 14700\n", - " 15000 15300 15600 15900 16200 16500 16800 17100 17400 17700\n", - " 18000 18300 18600 18900 19200 19500 19800 20100 20400 20700\n", - " 21000 21300 21600 21900 22200 22500 22800 23100 23400 23700\n", - " 24000 24300 24600 24900 25200 25500 25800 26100 26400 26700\n", - " 27000 27300 27600 27900 28200 28500 28800 29100 29400 29700\n", - " 30000 30300 30600 30900 31200 31500 31800 32100 32400 32700\n", - " 33000 33300 33600 33900 34200 34500 34800 35100 35400 35700\n", - " 36000 36300 36600 36900 37200 37500 37800 38100 38400 38700\n", - " 39000 39300 39600 39900 40200 40500 40800 41100 41400 41700\n", - " 42000 42300 42600 42900 43200 43500 43800 44100 44400 44700\n", - " 45000 45300 45600 45900 46200 46500 46800 47100 47400 47700\n", - " 48000 48300 48600 48900 49200 49500 49800 50100 50400 50700\n", - " 51000 51300 51600 51900 52200 52500 52800 53100 53400 53700\n", - " 54000 54300 54600 54900 55200 55500 55800 56100 56400 56700\n", - " 57000 57300 57600 57900 58200 58500 58800 59100 59400 59700\n", - " 60000 60300 60600 60900 61200 61500 61800 62100 62400 62700\n", - " 63000 63300 63600 63900 64200 64500 64800 65100 65400 65700\n", - " 66000 66300 66600 66900 67200 67500 67800 68100 68400 68700\n", - " 69000 69300 69600 69900 70200 70500 70800 71100 71400 71700\n", - " 72000 72300 72600 72900 73200 73500 73800 74100 74400 74700\n", - " 75000 75300 75600 75900 76200 76500 76800 77100 77400 77700\n", - " 78000 78300 78600 78900 79200 79500 79800 80100 80400 80700\n", - " 81000 81300 81600 81900 82200 82500 82800 83100 83400 83700\n", - " 84000 84300 84600 84900 85200 85500 85800 86100 86400 86700\n", - " 87000 87300 87600 87900 88200 88500 88800 89100 89400 89700\n", - " 90000 90300 90600 90900 91200 91500 91800 92100 92400 92700\n", - " 93000 93300 93600 93900 94200 94500 94800 95100 95400 95700\n", - " 96000 96300 96600 96900 97200 97500 97800 98100 98400 98700\n", - " 99000 99300 99600 99900 100200 100500 100800 101100 101400 101700\n", - " 102000 102300 102600 102900 103200 103500 103800 104100 104400 104700\n", - " 105000 105300 105600 105900 106200 106500 106800 107100 107400 107700\n", - " 108000 108300 108600 108900 109200 109500 109800 110100 110400 110700\n", - " 111000 111300 111600 111900 112200 112500 112800 113100 113400 113700\n", - " 114000 114300 114600 114900 115200 115500 115800 116100 116400 116700\n", - " 117000 117300 117600 117900 118200 118500 118800 119100 119400 119700\n", - " 120000 120300 120600 120900 121200 121500 121800 122100 122400 122700\n", - " 123000 123300 123600 123900 124200 124500 124800 125100 125400 125700\n", - " 126000 126300 126600 126900 127200 127500 127800 128100 128400 128700\n", - " 129000 129300 129600 129900 130200 130500 130800 131100 131400 131700\n", - " 132000 132300 132600 132900 133200 133500 133800 134100 134400 134700\n", - " 135000 135300 135600 135900 136200 136500 136800 137100 137400 137700\n", - " 138000 138300 138600 138900 139200 139500 139800 140100 140400 140700\n", - " 141000 141300 141600 141900 142200 142500 142800 143100 143400 143700\n", - " 144000 144300 144600 144900 145200 145500 145800 146100 146400 146700\n", - " 147000 147300 147600 147900 148200 148500 148800 149100 149400 149700\n", - " 150000 150300 150600 150900 151200 151500 151800 152100 152400 152700\n", - " 153000 153300 153600 153900 154200 154500 154800 155100 155400 155700\n", - " 156000 156300 156600 156900 157200 157500 157800 158100 158400 158700\n", - " 159000 159300 159600 159900 160200 160500 160800 161100 161400 161700\n", - " 162000 162300 162600 162900 163200 163500 163800 164100 164400 164700\n", - " 165000 165300 165600 165900 166200 166500 166800 167100 167400 167700\n", - " 168000 168300 168600 168900 169200 169500 169800 170100 170400 170700\n", - " 171000 171300 171600 171900 172200 172500 172800 173100 173400 173700\n", - " 174000 174300 174600 174900 175200 175500 175800 176100 176400 176700\n", - " 177000 177300 177600 177900 178200 178500 178800 179100 179400 179700\n", - " 180000 180300 180600 180900 181200 181500 181800 182100 182400 182700\n", - " 183000 183300 183600 183900 184200 184500 184800 185100 185400 185700\n", - " 186000 186300 186600 186900 187200 187500 187800 188100 188400 188700\n", - " 189000 189300 189600 189900 190200 190500 190800 191100 191400 191700\n", - " 192000 192300 192600 192900 193200 193500 193800 194100 194400 194700\n", - " 195000 195300 195600 195900 196200 196500 196800 197100 197400 197700\n", - " 198000]\n", - "NodeQuality: [[1. 1. 1. ... 1. 1. 1. ]\n", - " [0.98 1. 1. ... 1. 1. 1. ]\n", - " [0.98 1. 1. ... 1. 1. 1. ]\n", - " ...\n", - " [1. 1. 0.92 ... 0.3515977 0.92705355 0.72578683]\n", - " [1. 1. 0.93552117 ... 0.3515977 0.92705355 0.72582461]\n", - " [1. 1. 0.97783389 ... 0.3515977 0.92705355 0.72584789]]\n", - "LinkQuality: [[1. 1. 1. ... 1. 1. 1. ]\n", - " [0.99527232 1. 1. ... 1. 1. 1. ]\n", - " [0.99054463 1. 1. ... 1. 1. 1. ]\n", - " ...\n", - " [1. 1. 0.98700728 ... 0.66455742 0.82478447 0.60336094]\n", - " [1. 1. 0.99667611 ... 0.66457831 0.82453162 0.6029194 ]\n", - " [1. 1. 1. ... 0.6645992 0.82427878 0.60247786]]\n", - "MassFlowRate: [[0.0 None None ... None None None]\n", - " [741897.5169133473 None None ... None None None]\n", - " [1483795.0338266946 None None ... None None None]\n", - " ...\n", - " [97844043.13143374 None None ... None None None]\n", - " [98569538.13703442 None None ... None None None]\n", - " [99295033.1426351 None None ... None None None]]\n", - "QsN = [array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", - " 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n", - " 1., 1.]), array([0.98, 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. ,\n", - " 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. ,\n", - " 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. ,\n", - " 1. , 1. , 1. ]), array([0.98, 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. ,\n", - " 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. ,\n", - " 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. ,\n", - " 1. , 1. , 1. ]), array([0.98, 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. ,\n", - " 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. ,\n", - " 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. ,\n", - " 1. , 1. , 1. ]), array([0.98, 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. ,\n", - " 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. ,\n", - " 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. ,\n", - " 1. , 1. , 1. ]), array([0.98 , 0.98460805, 1. , 1. , 1. ,\n", - " 1. , 1. , 1. , 1. , 1. ,\n", - " 1. , 1. , 1. , 1. , 1. ,\n", - " 1. , 1. , 1. , 1. , 1. ,\n", - " 1. , 1. , 1. , 1. , 1. ,\n", - " 1. , 1. , 1. , 1. , 1. ,\n", - " 1. , 1. , 1. , 1. , 1. ,\n", - " 1. ]), array([0.98 , 0.98 , 1. , 1. , 0.99559027,\n", - " 0.99865511, 0.99978239, 0.99999731, 0.9998789 , 0.99999997,\n", - " 0.99995032, 0.99999049, 0.99999602, 0.99999813, 0.99999906,\n", - " 0.9999996 , 0.99999996, 1. , 0.99999999, 0.99999992,\n", - " 1. , 1. , 0.99999984, 0.9999995 , 0.99999993,\n", - " 1. , 1. , 1. , 1. , 1. ,\n", - " 1. , 1. , 1. , 1. , 1. ,\n", - " 1. ]), array([0.98 , 0.98 , 1. , 1. , 0.98382802,\n", - " 0.99865511, 0.99959999, 0.9999924 , 0.99972369, 0.99999988,\n", - " 0.99985735, 0.99996502, 0.99998303, 0.99999102, 0.99999502,\n", - " 0.99999794, 0.99999978, 0.99999999, 0.99999992, 0.99999952,\n", - " 0.99999999, 0.99999999, 0.99999898, 0.99999711, 0.99999948,\n", - " 1. , 1. , 1. , 1. , 0.99999996,\n", - " 1. , 1. , 1. , 1. , 1. ,\n", - " 1. ]), array([0.98 , 0.98 , 1. , 1. , 0.9833605 ,\n", - " 0.99865511, 0.9994471 , 0.99998566, 0.99956977, 0.99999971,\n", - " 0.99973937, 0.99992184, 0.9999574 , 0.99997519, 0.99998507,\n", - " 0.99999387, 0.99999923, 0.99999996, 0.99999974, 0.99999843,\n", - " 0.99999995, 0.99999994, 0.99999637, 0.99999068, 0.99999802,\n", - " 0.99999998, 1. , 1. , 1. , 0.99999985,\n", - " 0.99999998, 1. , 1. , 1. , 1. ,\n", - " 1. ]), array([0.98 , 0.98 , 1. , 1. , 0.98306523,\n", - " 0.98766728, 0.9994471 , 0.99997901, 0.9995015 , 0.99999946,\n", - " 0.99964179, 0.99986825, 0.99992006, 0.99994923, 0.99996708,\n", - " 0.99998647, 0.99999806, 0.9999999 , 0.99999932, 0.99999623,\n", - " 0.99999986, 0.99999985, 0.99999062, 0.99997807, 0.99999454,\n", - " 0.99999993, 1. , 0.99999999, 1. , 0.99999953,\n", - " 0.99999995, 1. , 1. , 1. , 1. ,\n", - " 0.99999999]), array([0.98 , 0.98 , 1. , 1. , 0.98287874,\n", - " 0.98325348, 0.9994471 , 0.99997244, 0.99947123, 0.99999914,\n", - " 0.99957182, 0.99981153, 0.9998746 , 0.99991409, 0.99994048,\n", - " 0.99997524, 0.99999597, 0.99999976, 0.99999858, 0.99999256,\n", - " 0.99999969, 0.99999966, 0.99998037, 0.99995799, 0.99998788,\n", - " 0.99999982, 1. , 0.99999998, 1. , 0.99999882,\n", - " 0.99999988, 1. , 1. , 1. , 1. ,\n", - " 0.99999998]), array([0.98 , 0.98 , 0.98599187, 1. , 0.98276096,\n", - " 0.98310327, 0.9994471 , 0.99996595, 0.9994578 , 0.99999874,\n", - " 0.99952505, 0.99975671, 0.99982522, 0.99987224, 0.99990623,\n", - " 0.99996019, 0.9999927 , 0.99999952, 0.99999739, 0.99998718,\n", - " 0.99999939, 0.99999933, 0.99996466, 0.99993035, 0.99997696,\n", - " 0.99999958, 1. , 0.99999996, 1. , 0.9999975 ,\n", - " 0.99999976, 0.99999999, 1. , 1. , 1. ,\n", - " 0.99999996]), array([0.98 , 0.98 , 0.98056782, 1. , 0.98268657,\n", - " 0.98297618, 0.9994471 , 0.99995954, 0.99945185, 0.99999828,\n", - " 0.99949502, 0.99970663, 0.99977555, 0.99982671, 0.99986632,\n", - " 0.99994167, 0.99998807, 0.99999912, 0.99999566, 0.99998001,\n", - " 0.99999892, 0.99999883, 0.99994314, 0.99989615, 0.99996106,\n", - " 0.99999914, 1. , 0.99999991, 1. , 0.9999953 ,\n", - " 0.99999956, 0.99999998, 1. , 1. , 1. ,\n", - " 0.99999991]), array([1.02 , 0.98 , 0.98049041, 1. , 0.98273254,\n", - " 0.98290118, 0.9994471 , 0.9999543 , 0.99944918, 0.99999784,\n", - " 0.9994759 , 0.99966086, 0.99972603, 0.99977786, 0.9998222 ,\n", - " 0.99991928, 0.99997763, 0.99999882, 0.99999308, 0.99997249,\n", - " 0.9999984 , 0.99999826, 0.99991168, 0.99985377, 0.99993562,\n", - " 0.99999855, 1. , 0.99999984, 1. , 0.99999229,\n", - " 0.999999 , 0.99999997, 1. , 1. , 1. ,\n", - " 0.99999982]), array([1.02 , 0.98 , 0.98042356, 1. , 0.98270299,\n", - " 0.98284017, 0.98632701, 0.9999543 , 0.9965521 , 0.99999741,\n", - " 0.99825631, 0.99938225, 0.99957758, 0.99968069, 0.99975005,\n", - " 0.9998838 , 0.99996597, 0.99999821, 0.9999894 , 0.99996164,\n", - " 0.99999768, 0.99999746, 0.99987037, 0.99979432, 0.999902 ,\n", - " 0.99999761, 1. , 0.99999972, 1. , 0.99998774,\n", - " 0.9999983 , 0.99999996, 1. , 1. , 1. ,\n", - " 0.99999967]), array([1.02 , 0.98 , 0.98036582, 1. , 0.98268436,\n", - " 0.98279221, 0.98362275, 0.9999543 , 0.9848071 , 0.99999699,\n", - " 0.99825631, 0.9991589 , 0.99939679, 0.99954294, 0.9996444 ,\n", - " 0.99983324, 0.99994948, 0.99999729, 0.99998413, 0.99994607,\n", - " 0.99999666, 0.99999635, 0.99981336, 0.9997084 , 0.99985634,\n", - " 0.99999619, 0.99999999, 0.99999954, 1. , 0.99998111,\n", - " 0.99999728, 0.99999994, 1. , 0.99999999, 1. ,\n", - " 0.99999944]), array([1.02 , 0.98 , 0.98031595, 1. , 0.98267262,\n", - " 0.98275539, 0.98348059, 0.9999543 , 0.98406154, 0.99999657,\n", - " 0.98992677, 0.99732756, 0.99850326, 0.9990385 , 0.9993327 ,\n", - " 0.99969515, 0.99991789, 0.99999579, 0.99997439, 0.99991232,\n", - " 0.99999499, 0.99999453, 0.99970063, 0.99949308, 0.99977612,\n", - " 0.99999399, 0.99999999, 0.99999925, 1. , 0.99997077,\n", - " 0.99999563, 0.9999999 , 1. , 0.99999999, 1. ,\n", - " 0.9999991 ]), array([1.02 , 1.0107839 , 0.98031595, 0.99647217, 0.98264131,\n", - " 0.98272027, 0.98335598, 0.9999543 , 0.98366498, 0.99999615,\n", - " 0.98411341, 0.99732756, 0.99799558, 0.99853248, 0.99892248,\n", - " 0.99951869, 0.99986831, 0.99999339, 0.99995902, 0.99986101,\n", - " 0.99999234, 0.99999164, 0.99951248, 0.99916606, 0.99964029,\n", - " 0.99999054, 0.99999999, 0.9999988 , 1. , 0.99995411,\n", - " 0.99999299, 0.99999986, 1. , 0.99999998, 1. ,\n", - " 0.99999855]), array([1.02 , 1.02 , 0.98031595, 0.98108356, 0.99167338,\n", - " 0.98547635, 0.9837035 , 0.9999543 , 0.98368663, 0.99999574,\n", - " 0.98393539, 0.99732756, 0.99770712, 0.99813202, 0.99852028,\n", - " 0.99933061, 0.99980152, 0.99998978, 0.99993783, 0.99979672,\n", - " 0.99998847, 0.99998742, 0.99926028, 0.99879596, 0.99944451,\n", - " 0.99998518, 0.99999998, 0.99999809, 1. , 0.99992841,\n", - " 0.999989 , 0.99999978, 1. , 0.99999997, 1. ,\n", - " 0.9999977 ]), array([1.02 , 1.02 , 0.98031595, 0.98098475, 1.01479649,\n", - " 0.98547635, 0.98399406, 0.9999543 , 0.98385942, 0.99999533,\n", - " 0.9839037 , 0.99732756, 0.99754322, 0.99784634, 0.99818142,\n", - " 0.99914503, 0.99971998, 0.99998471, 0.9999111 , 0.99972419,\n", - " 0.99998325, 0.99998172, 0.99897289, 0.99844376, 0.99920153,\n", - " 0.9999771 , 0.99999996, 0.999997 , 1. , 0.99989176,\n", - " 0.99998338, 0.99999967, 0.99999999, 0.99999995, 1. ,\n", - " 0.99999645]), array([1.02 , 1.02 , 0.98031595, 0.98089865, 1.01572775,\n", - " 0.98547635, 0.984237 , 0.9999543 , 0.98407164, 0.99999493,\n", - " 0.98397375, 0.99732756, 0.9974501 , 0.99765408, 0.99792103,\n", - " 0.99896905, 0.9996267 , 0.99997797, 0.99987933, 0.99964722,\n", - " 0.99997661, 0.99997448, 0.9986812 , 0.99814418, 0.99893346,\n", - " 0.99996555, 0.99999994, 0.99999537, 1. , 0.99984343,\n", - " 0.99997587, 0.99999952, 0.99999999, 0.99999992, 1. ,\n", - " 0.99999474]), array([1.02 , 1.02 , 0.98031595, 0.98082364, 1.01631481,\n", - " 1.00812403, 0.984237 , 0.9999543 , 0.98416458, 0.99999452,\n", - " 0.98405335, 0.98454512, 0.9974501 , 0.99755511, 0.99774621,\n", - " 0.99881135, 0.99952543, 0.99996946, 0.99984332, 0.99956942,\n", - " 0.99996857, 0.99996571, 0.99841191, 0.9979161 , 0.99866476,\n", - " 0.99994986, 0.99999991, 0.99999301, 1. , 0.999784 ,\n", - " 0.9999663 , 0.99999932, 0.99999998, 0.99999987, 1. ,\n", - " 0.99999254]), array([1.02 , 1.02 , 0.98031595, 0.98075828, 1.0166849 ,\n", - " 1.01594298, 0.984237 , 0.9999543 , 0.98420528, 0.99999413,\n", - " 0.98411673, 0.98401988, 0.98844082, 0.99313292, 0.99536991,\n", - " 0.99881135, 0.99943673, 0.99995946, 0.99980852, 0.99933008,\n", - " 0.99995595, 0.99995195, 0.99772378, 0.99645687, 0.99817997,\n", - " 0.99992854, 0.99999986, 0.99998966, 1. , 0.99970311,\n", - " 0.99995491, 0.99999904, 0.99999998, 0.9999998 , 1. ,\n", - " 0.9999896 ]), array([1.02 , 1.02 , 1.00580259, 0.98075828, 1.01691819,\n", - " 1.01624318, 0.984237 , 0.9999543 , 0.98422311, 0.99999374,\n", - " 0.9841611 , 0.9840479 , 0.9841812 , 0.9887896 , 0.99199073,\n", - " 0.99881135, 0.99935905, 0.99994819, 0.9997749 , 0.99933008,\n", - " 0.99994361, 0.99993849, 0.99637696, 0.9938973 , 0.99725106,\n", - " 0.99989837, 0.99999978, 0.99998492, 0.99999999, 0.99957946,\n", - " 0.99994192, 0.99999868, 0.99999997, 0.9999997 , 1. ,\n", - " 0.99998533]), array([1.02 , 1.02 , 1.01886289, 0.98075828, 1.01706526,\n", - " 1.01649625, 0.984237 , 0.9999543 , 0.98423092, 0.99999335,\n", - " 0.98419022, 0.98407613, 0.98413583, 0.98653162, 0.98921752,\n", - " 0.99881135, 0.99929102, 0.99993587, 0.99974241, 0.99933008,\n", - " 0.99993153, 0.99992532, 0.99456018, 0.99121529, 0.99586472,\n", - " 0.99985462, 0.99999968, 0.99997815, 0.99999999, 0.99939214,\n", - " 0.99992752, 0.99999825, 0.99999996, 0.99999955, 0.99999999,\n", - " 0.99997897]), array([1.05 , 1.02 , 1.01901749, 0.98075828, 1.01712878,\n", - " 1.01669153, 0.984237 , 0.9999543 , 0.98423435, 0.99999299,\n", - " 0.98420872, 0.98410272, 0.9841214 , 0.98535145, 0.98746458,\n", - " 0.99881135, 0.99922946, 0.99993534, 0.9997102 , 0.99933008,\n", - " 0.99992049, 0.99991328, 0.99254978, 0.9890242 , 0.99411457,\n", - " 0.99979694, 0.99999954, 0.99996935, 0.99999999, 0.99914307,\n", - " 0.9999111 , 0.99999778, 0.99999994, 0.99999936, 0.99999999,\n", - " 0.99996911]), array([1.05 , 1.02 , 1.01915107, 0.98075828, 1.01718715,\n", - " 1.01684455, 1.01209706, 0.9999543 , 0.99053842, 0.99999263,\n", - " 0.98686267, 0.98465629, 0.98435452, 0.9848633 , 0.98631402,\n", - " 0.99881135, 0.9991758 , 0.99992541, 0.99967912, 0.99933008,\n", - " 0.99990968, 0.99990149, 0.9906945 , 0.98744097, 0.99230892,\n", - " 0.99971778, 0.99999935, 0.99995712, 0.99999998, 0.99882055,\n", - " 0.99989357, 0.99999724, 0.99999992, 0.99999909, 0.99999999,\n", - " 0.99995586]), array([1.05 , 1.02 , 1.01926648, 0.98075828, 1.01722392,\n", - " 1.01696167, 1.01537281, 0.9999543 , 1.01394385, 0.99999228,\n", - " 0.98686267, 0.98509883, 0.9846789 , 0.98477301, 0.98572988,\n", - " 0.99881135, 0.99912903, 0.99991499, 0.9996491 , 0.99933008,\n", - " 0.99989908, 0.99988993, 0.98914997, 0.98644139, 0.99064113,\n", - " 0.99961374, 0.99999908, 0.99994043, 0.99999998, 0.99843454,\n", - " 0.9998751 , 0.99999665, 0.9999999 , 0.99999872, 0.99999998,\n", - " 0.99993927]), array([1.05 , 1.02 , 1.01936621, 0.98075828, 1.01724709,\n", - " 1.01704979, 1.01564877, 0.9999543 , 1.01490505, 0.99999193,\n", - " 1.0038127 , 0.98509883, 0.98486191, 0.98481654, 0.98547944,\n", - " 0.99881135, 0.99908826, 0.99990416, 0.99962013, 0.99933008,\n", - " 0.9998887 , 0.99987861, 0.98796227, 0.98587944, 0.98922681,\n", - " 0.99948291, 0.99999871, 0.9999182 , 0.99999997, 0.998 ,\n", - " 0.99985583, 0.99999599, 0.99999987, 0.99999821, 0.99999997,\n", - " 0.99991968]), array([1.05 , 1.04308793, 1.01936621, 0.98740128, 1.01724709,\n", - " 1.01711071, 1.01588934, 0.9999543 , 1.01545997, 0.99999158,\n", - " 1.01485863, 0.98509883, 0.98496516, 0.98488931, 0.98539995,\n", - " 0.99881135, 0.99905273, 0.99989299, 0.99959216, 0.99933008,\n", - " 0.99987852, 0.99986752, 0.98710416, 0.98559933, 0.98810614,\n", - " 0.99932483, 0.99999821, 0.99988937, 0.99999995, 0.99753308,\n", - " 0.99983591, 0.99999528, 0.99999984, 0.99999752, 0.99999996,\n", - " 0.99989758]), array([1.05 , 1.05 , 1.01936621, 1.00944955, 1.02408911,\n", - " 1.0192652 , 1.01644487, 0.9999543 , 1.01601524, 0.99999124,\n", - " 1.01534358, 0.98509883, 0.98502342, 0.98495498, 0.98539624,\n", - " 0.99288793, 0.99826158, 0.9998716 , 0.99936029, 0.99933008,\n", - " 0.99986856, 0.99985665, 0.9865146 , 0.98548069, 0.98726587,\n", - " 0.99917957, 0.99999756, 0.99985487, 0.99999993, 0.99753308,\n", - " 0.99979997, 0.99999451, 0.9999998 , 0.99999661, 0.99999995,\n", - " 0.99987354]), array([1.05 , 1.05 , 1.01936621, 1.01922139, 1.04099509,\n", - " 1.0192652 , 1.01690898, 0.9999543 , 1.01651911, 0.9999909 ,\n", - " 1.01583646, 0.98536544, 0.98517248, 0.98506148, 0.98544924,\n", - " 0.98499258, 0.99826158, 0.99985048, 0.99936029, 0.99933008,\n", - " 0.99985879, 0.999846 , 0.98613246, 0.98546232, 0.98666748,\n", - " 0.99904608, 0.99999673, 0.99981557, 0.99999991, 0.99753308,\n", - " 0.99976675, 0.99999369, 0.99999976, 0.99999546, 0.99999993,\n", - " 0.99984805]), array([1.05 , 1.05 , 1.01936621, 1.01924015, 1.03961081,\n", - " 1.0192652 , 1.01729671, 0.9999543 , 1.01695751, 0.99999056,\n", - " 1.0163065 , 1.00398043, 0.98517248, 0.98511583, 0.98550172,\n", - " 0.98501144, 0.99826158, 0.99982963, 0.99936029, 0.99933008,\n", - " 0.99984921, 0.99983557, 0.98589745, 0.98548534, 0.98626094,\n", - " 0.99892342, 0.99999571, 0.99977221, 0.99999988, 0.99753308,\n", - " 0.99973604, 0.99999281, 0.99999971, 0.99999405, 0.9999999 ,\n", - " 0.99982156]), array([1.05 , 1.05 , 1.01936621, 1.01925648, 1.04005029,\n", - " 1.03521076, 1.01729671, 0.9999543 , 1.01714875, 0.99999023,\n", - " 1.01665964, 1.01580157, 0.99844098, 0.98511583, 0.98552586,\n", - " 0.98501144, 0.99826158, 0.99980906, 0.99936029, 0.99933008,\n", - " 0.99983983, 0.99982535, 0.98575639, 0.98550901, 0.98599456,\n", - " 0.9988107 , 0.99999448, 0.99972549, 0.99999984, 0.99753308,\n", - " 0.99970764, 0.99999189, 0.99999966, 0.99999234, 0.99999987,\n", - " 0.99979443]), array([1.05 , 1.05 , 1.01936621, 1.01927069, 1.04032716,\n", - " 1.04025221, 1.01729671, 0.9999543 , 1.01723217, 0.9999899 ,\n", - " 1.01689969, 1.01602182, 1.01239762, 0.99787771, 0.98706498,\n", - " 0.98501144, 0.99826158, 0.99978877, 0.99936029, 0.99933008,\n", - " 0.99983064, 0.99981533, 0.98599665, 0.98641798, 0.98599566,\n", - " 0.99870712, 0.99999304, 0.999676 , 0.99999978, 0.99753308,\n", - " 0.9996814 , 0.99999091, 0.9999996 , 0.99999034, 0.99999983,\n", - " 0.99976709]), array([1.05 , 1.05 , 1.03847877, 1.01927069, 1.0405016 ,\n", - " 1.0403292 , 1.01729671, 0.9999543 , 1.01726856, 0.99998957,\n", - " 1.01705435, 1.01622892, 1.01604995, 1.01355663, 0.99982155,\n", - " 0.98501144, 0.99826158, 0.99976875, 0.99936029, 0.99933008,\n", - " 0.99982164, 0.99980552, 0.98755246, 0.99028085, 0.98681759,\n", - " 0.99861194, 0.99999136, 0.99962429, 0.99999972, 0.99753308,\n", - " 0.99965714, 0.99998988, 0.99999953, 0.99998802, 0.99999977,\n", - " 0.99974073]), array([1.05 , 1.05 , 1.04914681, 1.01927069, 1.0406115 ,\n", - " 1.04041636, 1.01729671, 0.9999543 , 1.01728443, 0.99998925,\n", - " 1.01715082, 1.01641383, 1.01620853, 1.01519562, 1.0139986 ,\n", - " 0.98501144, 0.99826158, 0.99974901, 0.99936029, 0.99933008,\n", - " 0.99981281, 0.99979591, 0.98755246, 1.00390733, 0.98720557,\n", - " 0.99852447, 0.99998945, 0.99957084, 0.99999964, 0.99753308,\n", - " 0.99963471, 0.99998881, 0.99999946, 0.99998538, 0.99999971,\n", - " 0.99971529]), array([0.99 , 1.05 , 1.04926281, 1.01927069, 1.04068074,\n", - " 1.04049798, 1.01729671, 0.9999543 , 1.01729136, 0.99998893,\n", - " 1.01720975, 1.01657347, 1.01636758, 1.01576947, 1.01468959,\n", - " 0.98501144, 0.99550873, 0.99969368, 0.99936029, 0.99933008,\n", - " 0.99980416, 0.99978649, 0.99158122, 1.01440226, 0.98951573,\n", - " 0.99844409, 0.99998729, 0.99951609, 0.99999954, 0.99753308,\n", - " 0.99961397, 0.99998768, 0.99999938, 0.99998242, 0.99999963,\n", - " 0.99969301]), array([0.99 , 1.05 , 1.04936303, 1.01927069, 1.04072436,\n", - " 1.04056788, 1.03783575, 0.9999543 , 1.02193962, 0.99998861,\n", - " 1.01919291, 1.01709885, 1.01668628, 1.01621839, 1.01524538,\n", - " 0.98501144, 0.98500909, 0.9996926 , 0.99936029, 0.99933008,\n", - " 0.99979569, 0.99977726, 1.00655325, 1.01489479, 0.99132015,\n", - " 0.99837024, 0.9999849 , 0.9994604 , 0.99999943, 0.99753308,\n", - " 0.9995948 , 0.99998652, 0.99999929, 0.99997912, 0.99999954,\n", - " 0.9996742 ]), array([0.99 , 1.05 , 1.04944963, 1.01927069, 1.04075185,\n", - " 1.04062467, 1.03972328, 0.9999543 , 1.0388999 , 0.99998829,\n", - " 1.01919291, 1.01751886, 1.01704914, 1.01662516, 1.01571537,\n", - " 0.98501144, 0.98500939, 0.99969148, 0.99936029, 0.99933008,\n", - " 0.99978738, 0.99976821, 1.01491204, 1.01537416, 1.01096634,\n", - " 0.99830236, 0.99998226, 0.99940413, 0.9999993 , 0.99753308,\n", - " 0.99957708, 0.99998531, 0.99999919, 0.99997549, 0.99999944,\n", - " 0.99966922]), array([0.99 , 1.05 , 1.04952446, 1.01927069, 1.04076916,\n", - " 1.04066928, 1.03987895, 0.9999543 , 1.03945187, 0.99998798,\n", - " 1.0314821 , 1.01751886, 1.01725385, 1.016933 , 1.0160941 ,\n", - " 0.98501144, 0.98500965, 0.99969032, 0.99936029, 0.99933008,\n", - " 0.99977925, 0.99975935, 1.01523259, 1.01579473, 1.01321874,\n", - " 0.99824 , 0.99997937, 0.99934756, 0.99999914, 0.99753308,\n", - " 0.9995607 , 0.99998406, 0.99999909, 0.99997153, 0.99999931,\n", - " 0.99969416]), array([0.99 , 1.00382415, 1.04952446, 1.02463329, 1.04076916,\n", - " 1.04070012, 1.04001408, 0.9999543 , 1.03976883, 0.99998767,\n", - " 1.0394245 , 1.01751886, 1.01736935, 1.01714666, 1.01638148,\n", - " 0.99118505, 0.98580215, 0.99968914, 0.99936029, 0.99933008,\n", - " 0.99977127, 0.99975067, 1.01556121, 1.0161375 , 1.01445547,\n", - " 0.99818268, 0.99997624, 0.99929095, 0.99999897, 0.99753308,\n", - " 0.99954556, 0.99998276, 0.99999897, 0.99996723, 0.99999917,\n", - " 0.99972153]), array([0.99 , 0.99 , 1.04952446, 1.04152764, 1.02889595,\n", - " 1.04070012, 1.04012698, 0.9999543 , 1.03997075, 0.99998736,\n", - " 1.03965353, 1.01751886, 1.01743451, 1.0172876 , 1.01658859,\n", - " 1.00665675, 0.98580215, 0.99968793, 0.99936029, 0.99933008,\n", - " 0.99976346, 0.99974217, 1.01586619, 1.01640102, 1.01520027,\n", - " 0.99813002, 0.99997287, 0.99923453, 0.99999877, 0.99753308,\n", - " 0.99953156, 0.99998143, 0.99999885, 0.99996262, 0.99999901,\n", - " 0.99975068]), array([0.99 , 0.99 , 1.04952446, 1.04941558, 0.99853771,\n", - " 1.04070012, 1.04022129, 0.9999543 , 1.040112 , 0.99998706,\n", - " 1.03984576, 1.01780497, 1.01759596, 1.01743859, 1.01676342,\n", - " 1.01644746, 0.98580215, 0.99968669, 0.99936029, 0.99933008,\n", - " 0.9997558 , 0.99973384, 1.0161373 , 1.01661273, 1.01569498,\n", - " 0.99808162, 0.99996925, 0.9991785 , 0.99999854, 0.99753308,\n", - " 0.99951862, 0.99998006, 0.99999872, 0.99995768, 0.99999883,\n", - " 0.99978104]), array([0.99 , 0.99 , 1.04952446, 1.04942968, 0.99387403,\n", - " 1.03171719, 1.03882187, 0.9999543 , 1.03938465, 0.99998676,\n", - " 1.03965242, 1.03801283, 1.01759596, 1.01751565, 1.01688493,\n", - " 1.01656784, 0.98580215, 0.99968544, 0.99936029, 0.99933008,\n", - " 0.9997483 , 0.99972567, 1.0163677 , 1.01677174, 1.01605015,\n", - " 0.99803715, 0.9999654 , 0.99912304, 0.99999828, 0.99753308,\n", - " 0.99950665, 0.99997865, 0.99999858, 0.99995243, 0.99999862,\n", - " 0.99981224]), array([0.99 , 0.99 , 1.04952446, 1.04944196, 0.99387403,\n", - " 1.00342742, 1.03882187, 0.9999543 , 1.03906737, 0.99998646,\n", - " 1.03940712, 1.03829249, 1.03209816, 1.01751565, 1.01694166,\n", - " 1.01656784, 0.98580215, 0.99968417, 0.99936029, 0.99933008,\n", - " 0.99974094, 0.99971767, 1.01655047, 1.016871 , 1.0163143 ,\n", - " 0.99799628, 0.99996132, 0.99906828, 0.999998 , 0.99753308,\n", - " 0.99949559, 0.9999772 , 0.99999843, 0.99994687, 0.99999839,\n", - " 0.999844 ]), array([0.99 , 0.99 , 1.04952446, 1.04945264, 0.99387403,\n", - " 0.99494864, 1.03882187, 0.9999543 , 1.03892896, 0.99998616,\n", - " 1.03920663, 1.03847584, 1.03829351, 1.03444848, 1.01898733,\n", - " 1.01656784, 0.98580215, 0.99968288, 0.99936029, 0.99933008,\n", - " 0.99973374, 0.99970983, 1.01711584, 1.01810732, 1.01673748,\n", - " 0.99795873, 0.99995702, 0.99901436, 0.99999768, 0.99753308,\n", - " 0.99948537, 0.99997572, 0.99999828, 0.99994102, 0.99999814,\n", - " 0.9998764 ]), array([0.99 , 0.99 , 1.02006214, 1.04945264, 0.99387403,\n", - " 0.99461687, 1.03882187, 0.9999543 , 1.03886858, 0.99998587,\n", - " 1.03906489, 1.03859399, 1.03842446, 1.03677674, 1.03463125,\n", - " 1.01656784, 0.98580215, 0.99968158, 0.99936029, 0.99933008,\n", - " 0.99972668, 0.99970215, 1.01920529, 1.02286947, 1.01804038,\n", - " 0.99792422, 0.99995249, 0.99896139, 0.99999733, 0.99753308,\n", - " 0.99947592, 0.99997421, 0.99999811, 0.99993487, 0.99999786,\n", - " 0.99991051]), array([0.99 , 0.99 , 0.99491192, 1.04945264, 0.99387403,\n", - " 0.99438753, 1.03882187, 0.9999543 , 1.03884225, 0.99998558,\n", - " 1.03897154, 1.03866971, 1.03853135, 1.03763588, 1.03563827,\n", - " 1.01656784, 0.99189425, 0.99968027, 0.99936029, 0.99933008,\n", - " 0.99971976, 0.99969463, 1.01920529, 1.03521953, 1.0186554 ,\n", - " 0.99789251, 0.99994775, 0.99890944, 0.99999695, 0.99753308,\n", - " 0.99946718, 0.99997266, 0.99999793, 0.99992844, 0.99999755,\n", - " 0.99994593]), array([0.64 , 0.99 , 0.99 , 1.04945264, 0.9939218 ,\n", - " 0.99424326, 1.03882187, 0.9999543 , 1.03883072, 0.99998531,\n", - " 1.03891215, 1.03871895, 1.03861395, 1.0381199 , 1.03579124,\n", - " 1.01656784, 1.01532441, 0.99972589, 0.99936029, 0.99933008,\n", - " 0.99971353, 0.99968785, 1.02382141, 1.03556036, 1.02145404,\n", - " 0.99786559, 0.99994322, 0.99886271, 0.99999657, 0.99753308,\n", - " 0.99945873, 0.99997121, 0.99999776, 0.99992231, 0.99999724,\n", - " 0.99998802]), array([0.64 , 0.99 , 0.99 , 1.04945264, 0.9939218 ,\n", - " 0.99414368, 0.99899967, 0.9999543 , 1.02957314, 0.99998505,\n", - " 1.03497357, 1.03795835, 1.03832527, 1.03822153, 1.03617416,\n", - " 1.01656784, 1.01548895, 0.99972267, 0.99936029, 0.99603611,\n", - " 0.9996513 , 0.99961999, 1.03559413, 1.03592627, 1.02363306,\n", - " 0.99730949, 0.99993842, 0.99879318, 0.99999616, 0.99043978,\n", - " 0.99945096, 0.99996942, 0.99999758, 0.99991582, 0.99999691,\n", - " 1.00003433]), array([0.64 , 0.99 , 0.99 , 1.04945264, 0.9939218 ,\n", - " 0.99407495, 0.9956467 , 0.9999543 , 0.99710274, 0.99998479,\n", - " 1.03497357, 1.03735221, 1.03789681, 1.03806083, 1.03626671,\n", - " 1.01656784, 1.01563171, 0.99971947, 0.99936029, 0.98550671,\n", - " 0.99965123, 0.99961999, 1.03579504, 1.03612923, 1.03570297,\n", - " 0.99657109, 0.99993322, 0.9986937 , 0.99999572, 0.98744928,\n", - " 0.99944379, 0.99996764, 0.99999739, 0.9999088 , 0.99999655,\n", - " 1.000091 ]), array([0.64 , 0.99 , 0.99 , 1.04945264, 0.9939218 ,\n", - " 0.99402751, 0.99537903, 0.9999543 , 0.99612756, 0.99998453,\n", - " 1.01085241, 1.03735221, 1.037657 , 1.03786099, 1.03620584,\n", - " 1.01656784, 1.01575559, 0.99971627, 0.99936029, 0.98550671,\n", - " 0.99965117, 0.99961999, 1.03593766, 1.0361749 , 1.03583011,\n", - " 0.99588798, 0.99992752, 0.9985681 , 0.99999524, 0.98744928,\n", - " 0.99943719, 0.99996588, 0.99999719, 0.99990109, 0.99999616,\n", - " 1.00016472]), array([0.64 , 0.72064085, 0.99 , 1.04015511, 0.9939218 ,\n", - " 0.99399477, 0.99515019, 0.9999543 , 0.99557461, 0.99998428,\n", - " 0.99617632, 1.03735221, 1.03752279, 1.03769363, 1.03609137,\n", - " 1.02692011, 1.01575559, 0.99971308, 0.99936029, 0.98550671,\n", - " 0.99965111, 0.99961999, 1.03600804, 1.0361251 , 1.0359265 ,\n", - " 0.99525603, 0.99992123, 0.99841982, 0.99999471, 0.98744928,\n", - " 0.99943112, 0.99996412, 0.99999698, 0.99989257, 0.99999574,\n", - " 1.00023832]), array([0.64 , 0.64 , 0.99 , 1.01054147, 0.92401144,\n", - " 0.99399477, 0.99495918, 0.9999543 , 0.99522643, 0.99998402,\n", - " 0.99577572, 1.03735221, 1.03744768, 1.03757192, 1.03597592,\n", - " 1.0374829 , 1.01575559, 0.99970991, 0.99936029, 0.98550671,\n", - " 0.99965104, 0.99961999, 1.0360186 , 1.03603617, 1.0359764 ,\n", - " 0.9946714 , 0.99991426, 0.99825202, 0.99999415, 0.98744928,\n", - " 0.99942552, 0.99996237, 0.99999676, 0.99988313, 0.99999528,\n", - " 1.00031175]), array([0.64 , 0.64 , 0.99 , 0.99060607, 0.7416262 ,\n", - " 0.99399477, 0.99479975, 0.9999543 , 0.99498504, 0.99998377,\n", - " 0.99544226, 1.03534419, 1.03652146, 1.03705208, 1.03565417,\n", - " 1.03738141, 1.01575559, 0.99970675, 0.99936029, 0.98550671,\n", - " 0.99965098, 0.99961999, 1.03593969, 1.03580844, 1.03595651,\n", - " 0.99413055, 0.99990655, 0.99806751, 0.99999353, 0.98744928,\n", - " 0.99942036, 0.99996062, 0.99999654, 0.99987268, 0.99999477,\n", - " 1.00038491]), array([0.64 , 0.64 , 0.99 , 0.99052703, 0.69538444,\n", - " 0.93998495, 0.99479975, 0.9999543 , 0.99488021, 0.99998352,\n", - " 0.99520523, 1.00970045, 1.03652146, 1.03678949, 1.03537079,\n", - " 1.03729065, 1.01575559, 0.99970362, 0.99936029, 0.98550671,\n", - " 0.99965092, 0.99961999, 1.03579245, 1.03554753, 1.03586763,\n", - " 0.99363021, 0.99989805, 0.99786886, 0.99999285, 0.98744928,\n", - " 0.99941562, 0.99995889, 0.9999963 , 0.99986115, 0.99999423,\n", - " 1.00045767]), array([0.64 , 0.64 , 0.99 , 0.9904583 , 0.69538444,\n", - " 0.78325514, 0.99479975, 0.9999543 , 0.99483469, 0.99998328,\n", - " 0.99504896, 0.99552785, 1.0169701 , 1.03678949, 1.0352408 ,\n", - " 1.03729065, 1.01575559, 0.99970051, 0.99936029, 0.98550671,\n", - " 0.99965086, 0.99961999, 1.03563184, 1.03536467, 1.03573989,\n", - " 0.99316733, 0.9998887 , 0.99765839, 0.99999212, 0.98744928,\n", - " 0.99941124, 0.99995717, 0.99999605, 0.99984847, 0.99999363,\n", - " 1.00052992]), array([0.64 , 0.64 , 0.99 , 0.99039853, 0.69538444,\n", - " 0.705939 , 0.99479975, 0.9999543 , 0.99481492, 0.99998303,\n", - " 0.99495026, 0.99541055, 0.99932648, 1.0173814 , 1.03239592,\n", - " 1.03729065, 1.01575559, 0.99969487, 0.99480321, 0.98550671,\n", - " 0.9996508 , 0.99961999, 1.03486702, 1.03359484, 1.03526702,\n", - " 0.99273912, 0.99987847, 0.99743816, 0.99999132, 0.98744928,\n", - " 0.99904712, 0.99995545, 0.99999579, 0.99983459, 0.99999298,\n", - " 1.00060121]), array([0.64 , 0.64 , 0.8224622 , 0.99039853, 0.69538444,\n", - " 0.69538444, 0.99479975, 0.9999543 , 0.99480634, 0.99998279,\n", - " 0.99488956, 0.99530475, 0.99539679, 0.99776857, 1.01373207,\n", - " 1.03729065, 1.02070067, 0.99968933, 0.98557096, 0.98550671,\n", - " 0.99965073, 0.99961999, 1.0319837 , 1.02718764, 1.03348831,\n", - " 0.99234298, 0.99986733, 0.99721006, 0.99999044, 0.98744928,\n", - " 0.99904712, 0.99995375, 0.99999552, 0.99981948, 0.99999227,\n", - " 1.00066972]), array([0.64 , 0.64 , 0.67048332, 0.99039853, 0.69538444,\n", - " 0.69538444, 0.99479975, 0.9999543 , 0.99480261, 0.99998255,\n", - " 0.99485289, 0.99521299, 0.99531586, 0.99634925, 0.99711982,\n", - " 1.03729065, 1.03153143, 0.99968388, 0.98557096, 0.98550671,\n", - " 0.99965067, 0.99961999, 1.0319837 , 1.0083734 , 1.0326732 ,\n", - " 0.99234298, 0.99985533, 0.99699218, 0.99998949, 1.01354119,\n", - " 0.99904712, 0.99995205, 0.99999525, 0.9998032 , 0.9999915 ,\n", - " 1.00073598]), array([0.46 , 0.64 , 0.64 , 0.99039853, 0.69281884,\n", - " 0.69459964, 0.94273067, 0.9999543 , 0.9839313 , 0.99998223,\n", - " 0.99485289, 0.99514327, 0.99524285, 0.99582289, 0.99639973,\n", - " 1.03729065, 1.03621838, 0.9996032 , 0.98557096, 0.98550671,\n", - " 0.99965059, 0.99961999, 1.02778349, 0.99672574, 1.03029978,\n", - " 0.99234298, 0.99983784, 0.99671802, 0.99998807, 1.0166203 ,\n", - " 0.99913145, 0.99994979, 0.99999486, 0.99977952, 0.99999034,\n", - " 1.00078269]), array([0.46 , 0.64 , 0.64 , 0.99039853, 0.69281884,\n", - " 0.69405491, 0.79439095, 0.9999543 , 0.91176106, 0.99998192,\n", - " 0.98856858, 0.99387043, 0.99466225, 0.99527072, 0.99582384,\n", - " 1.03729065, 1.03621508, 0.9996032 , 0.98557096, 0.99259746,\n", - " 0.99965051, 0.99961999, 1.0083734 , 0.99623215, 1.03029978,\n", - " 0.99234298, 0.99981902, 0.99646004, 0.99998648, 1.0166203 ,\n", - " 0.99913133, 0.99994755, 0.99999446, 0.99975405, 0.99998905,\n", - " 1.00082815]), array([0.46 , 0.64 , 0.64 , 0.99039853, 0.69281884,\n", - " 0.69367681, 0.71305294, 0.9999543 , 0.77740962, 0.99998161,\n", - " 0.94240437, 0.99387043, 0.99432728, 0.99482188, 0.99531276,\n", - " 1.03729065, 1.03338788, 0.9996032 , 0.98557096, 1.01197381,\n", - " 0.99965043, 0.99961999, 0.9969743 , 0.995729 , 1.0096933 ,\n", - " 0.99234298, 0.99979894, 0.99621726, 0.99998472, 1.0166203 ,\n", - " 0.99913121, 0.99994533, 0.99999404, 0.99972694, 0.99998762,\n", - " 1.00086809]), array([0.46 , 0.64 , 0.64 , 0.99039853, 0.69281884,\n", - " 0.69341436, 0.69572646, 0.9999543 , 0.70943561, 0.9999813 ,\n", - " 0.83445492, 0.99387043, 0.99413401, 0.99449463, 0.99489545,\n", - " 1.03729065, 1.03326469, 0.9996032 , 0.98557096, 1.01647295,\n", - " 0.99965034, 0.99961999, 0.99591664, 0.99527282, 0.99716349,\n", - " 0.99234298, 0.99977771, 0.9959888 , 0.99998277, 1.0166203 ,\n", - " 0.99913109, 0.99994312, 0.99999361, 0.99969831, 0.99998603,\n", - " 1.0008782 ]), array([0.46 , 0.50147244, 0.64 , 0.95860267, 0.69281884,\n", - " 0.6932322 , 0.69423187, 0.9999543 , 0.69489206, 0.99998099,\n", - " 0.73829721, 0.99387043, 0.9940225 , 0.99427002, 0.99457643,\n", - " 1.03114451, 1.03269553, 0.9996032 , 0.98557096, 1.01647295,\n", - " 0.99965026, 0.99961999, 0.99558184, 0.9948917 , 0.99602627,\n", - " 0.99234298, 0.99975539, 0.99577382, 0.99998064, 1.0166203 ,\n", - " 0.99913097, 0.99994093, 0.99999317, 0.99966828, 0.99998429,\n", - " 1.00087169]), array([0.46 , 0.46 , 0.64 , 0.79833547, 0.65802558,\n", - " 0.6932322 , 0.69406945, 0.9999543 , 0.69443282, 0.99998069,\n", - " 0.70093509, 0.99387043, 0.99395817, 0.99412166, 0.99434446,\n", - " 1.01146725, 1.03269553, 0.9996032 , 0.98557096, 1.01647295,\n", - " 0.99965018, 0.99961999, 0.99525858, 0.99459221, 0.99565364,\n", - " 0.99234298, 0.99973207, 0.99557151, 0.9999783 , 1.0166203 ,\n", - " 0.99913085, 0.99993875, 0.99999271, 0.99963697, 0.99998239,\n", - " 1.00086447]), array([0.46 , 0.46 , 0.64 , 0.66657632, 0.56152555,\n", - " 0.6932322 , 0.69393342, 0.9999543 , 0.69415402, 0.9999804 ,\n", - " 0.69445275, 0.95091438, 0.99395817, 0.99404388, 0.99419114,\n", - " 0.99505565, 1.03269553, 0.9996032 , 0.98557096, 1.01647295,\n", - " 0.9996501 , 0.99961999, 0.99496921, 0.99437271, 0.99532142,\n", - " 0.99234298, 0.99970782, 0.99538113, 0.99997576, 1.0166203 ,\n", - " 0.99913073, 0.99993658, 0.99999223, 0.99960448, 0.99998032,\n", - " 1.00085667]), array([0.46 , 0.46 , 0.64 , 0.64 , 0.53127044,\n", - " 0.66750059, 0.69393342, 0.9999543 , 0.69403086, 0.9999801 ,\n", - " 0.69427875, 0.85230456, 0.96657465, 0.99404388, 0.99411602,\n", - " 0.99505565, 1.03269553, 0.9996032 , 0.98557096, 1.01647295,\n", - " 0.99965002, 0.99961999, 0.99472848, 0.99423223, 0.99503361,\n", - " 0.99234298, 0.99968271, 0.99520198, 0.99997302, 1.0166203 ,\n", - " 0.99913062, 0.99993443, 0.99999174, 0.99957091, 0.99997808,\n", - " 1.00084838]), array([0.46 , 0.46 , 0.64 , 0.64 , 0.52868189,\n", - " 0.5874962 , 0.69393342, 0.9999543 , 0.69397646, 0.99997981,\n", - " 0.69415407, 0.75419706, 0.88818096, 0.96937576, 0.99313792,\n", - " 0.99505565, 1.03269553, 0.9996032 , 0.98557096, 1.01647295,\n", - " 0.99964994, 0.99961999, 0.99437075, 0.99363335, 0.99471187,\n", - " 1.00459586, 0.99966082, 0.99575591, 0.99997009, 1.01700523,\n", - " 0.9991305 , 0.9999323 , 0.99999124, 0.999542 , 0.99997569,\n", - " 1.00083963]), array([0.46 , 0.46 , 0.64 , 0.64 , 0.52866809,\n", - " 0.53814824, 0.69393342, 0.9999543 , 0.69395243, 0.99997952,\n", - " 0.69407091, 0.70264196, 0.78989071, 0.89617499, 0.96648179,\n", - " 0.99505565, 1.03269553, 0.9996032 , 1.0026733 , 1.01647295,\n", - " 0.99964986, 0.99961999, 0.99259769, 0.98894275, 0.99368567,\n", - " 1.01642354, 0.99963906, 0.99575591, 0.99996699, 1.0341999 ,\n", - " 0.99913038, 0.99993018, 0.99999072, 0.99951337, 0.99997315,\n", - " 1.00082985]), array([0.46 , 0.46 , 0.54227915, 0.64 , 0.52866809,\n", - " 0.52927339, 0.69393342, 0.9999543 , 0.69394182, 0.99997924,\n", - " 0.69401767, 0.69527618, 0.71905585, 0.79991365, 0.89236932,\n", - " 0.99505565, 1.03269553, 0.9996032 , 1.01566418, 1.01647295,\n", - " 0.99964978, 0.99961999, 0.99259769, 0.95367842, 0.99315757,\n", - " 1.01642354, 0.99961742, 0.99575591, 0.99996372, 1.0341999 ,\n", - " 0.99913027, 0.99992807, 0.99999019, 0.99948502, 0.99997047,\n", - " 1.00081918]), array([0.46 , 0.46 , 0.47221673, 0.64 , 0.52866809,\n", - " 0.52908823, 0.69393342, 0.9999543 , 0.69393713, 0.99997896,\n", - " 0.69398445, 0.6950261 , 0.69729525, 0.72627909, 0.79700252,\n", - " 0.99505565, 1.03269553, 0.9996032 , 1.01566418, 1.03290596,\n", - " 0.9996497 , 0.99961999, 0.99259769, 0.87589414, 0.99288581,\n", - " 1.01642354, 0.9995959 , 0.99575591, 0.99996028, 1.0341999 ,\n", - " 0.99913015, 0.99992598, 0.99998964, 0.99945694, 0.99996765,\n", - " 1.00080792]), array([0.35 , 0.46 , 0.46 , 0.64 , 0.51921482,\n", - " 0.52698405, 0.67421134, 0.9999543 , 0.69393713, 0.99997866,\n", - " 0.69397077, 0.69490477, 0.69663412, 0.70171253, 0.72627909,\n", - " 0.99505565, 1.02247958, 0.9996032 , 1.01566418, 1.03723055,\n", - " 0.99964961, 0.99961999, 0.96371816, 0.79700252, 0.99288581,\n", - " 1.01642354, 0.99957289, 0.99575591, 0.99995638, 1.0341999 ,\n", - " 0.99453776, 0.99992375, 0.99998904, 0.99942706, 0.99996445,\n", - " 1.00080722]), array([0.35 , 0.46 , 0.46 , 0.64 , 0.51921482,\n", - " 0.52532831, 0.65893668, 0.9999543 , 0.6807913 , 0.99997837,\n", - " 0.69397077, 0.6947974 , 0.69612614, 0.69678882, 0.72627909,\n", - " 0.99505565, 1.01903713, 0.9996032 , 1.01566418, 1.03723055,\n", - " 0.99964952, 0.99961999, 0.95367842, 0.79700252, 0.99288581,\n", - " 1.01642354, 0.99955001, 0.99575591, 0.9999523 , 1.0341999 ,\n", - " 0.99406495, 0.99992153, 0.99998843, 0.9993975 , 0.99996109,\n", - " 1.00080653]), array([0.35 , 0.46 , 0.46 , 0.64 , 0.51921482,\n", - " 0.52402543, 0.5874962 , 0.9999543 , 0.66403187, 0.99997807,\n", - " 0.69397077, 0.69470236, 0.69573237, 0.69646655, 0.71165708,\n", - " 0.99505565, 1.00823546, 0.9996032 , 1.01566418, 1.03723055,\n", - " 0.99964944, 0.99961999, 0.95367842, 0.79700252, 0.99288581,\n", - " 1.01642354, 0.99952728, 0.99575591, 0.99994804, 1.0341999 ,\n", - " 0.99406177, 0.99991933, 0.9999878 , 0.99936824, 0.99995757,\n", - " 1.00080583]), array([0.35 , 0.46 , 0.46 , 0.64 , 0.51921482,\n", - " 0.52300022, 0.56006562, 0.9999543 , 0.61132671, 0.99997779,\n", - " 0.68683757, 0.69379818, 0.69519744, 0.69607941, 0.69767747,\n", - " 0.99505565, 0.99187771, 0.9996032 , 1.01566418, 1.03723055,\n", - " 0.99964935, 0.99961999, 0.95367842, 0.73176979, 0.99288581,\n", - " 1.01642354, 0.99950468, 0.99575591, 0.9999436 , 1.0341999 ,\n", - " 0.99405868, 0.99991714, 0.99998716, 0.99933929, 0.9999539 ,\n", - " 1.00080513]), array([0.35 , 0.46 , 0.46 , 0.64 , 0.51921482,\n", - " 0.52219349, 0.52817192, 0.9999543 , 0.56921568, 0.9999775 ,\n", - " 0.67172051, 0.69379818, 0.69481045, 0.69569231, 0.69710652,\n", - " 0.99505565, 0.98890365, 0.9996032 , 1.01566418, 1.03723055,\n", - " 0.99964927, 0.99961999, 0.91176832, 0.72627909, 0.99159943,\n", - " 1.01642354, 0.99948221, 0.99575591, 0.99993898, 1.0341999 ,\n", - " 0.99405569, 0.99991498, 0.9999865 , 0.99931065, 0.99995008,\n", - " 1.00080442]), array([0.35 , 0.46 , 0.46 , 0.64 , 0.51921482,\n", - " 0.52155869, 0.52747206, 0.9999543 , 0.53857755, 0.99997722,\n", - " 0.63550597, 0.69379818, 0.69453049, 0.69533789, 0.69659785,\n", - " 0.98529254, 0.991232 , 0.99671649, 1.01566418, 1.03723055,\n", - " 0.99964918, 0.99961999, 0.87589414, 0.71279228, 0.96327537,\n", - " 1.01997195, 0.99945988, 0.99575591, 0.99993418, 1.0341999 ,\n", - " 0.99399986, 0.99991282, 0.99998583, 0.9992823 , 0.99994611,\n", - " 1.00080371]), array([0.35 , 0.41053307, 0.46 , 0.64 , 0.51921482,\n", - " 0.52105918, 0.52679339, 0.9999543 , 0.52738121, 0.99997694,\n", - " 0.58853473, 0.69379818, 0.69432796, 0.69502981, 0.69614688,\n", - " 0.96657465, 0.99748102, 0.98613977, 1.01566418, 1.03723055,\n", - " 0.9996491 , 0.99961999, 0.87589414, 0.69802925, 0.95367842,\n", - " 1.0341999 , 0.99943769, 0.99575591, 0.99992922, 1.00871493,\n", - " 0.99399986, 0.99991068, 0.99998514, 0.99925426, 0.99994199,\n", - " 1.00080301]), array([0.35 , 0.35 , 0.46 , 0.64 , 0.51921482,\n", - " 0.52066612, 0.52614495, 0.9999543 , 0.52685144, 0.99997667,\n", - " 0.55263324, 0.69379818, 0.69418144, 0.69477101, 0.69575117,\n", - " 0.89670932, 0.99748102, 0.98613977, 1.01566418, 1.03316646,\n", - " 0.99964901, 0.99961999, 0.87589414, 0.69660481, 0.95367842,\n", - " 1.0341999 , 0.99941562, 0.99575591, 0.99992409, 0.99401832,\n", - " 0.99399986, 0.99990856, 0.99998445, 0.9992265 , 0.99993772,\n", - " 1.0008023 ]), array([0.35 , 0.35 , 0.46 , 0.56430767, 0.50596519,\n", - " 0.52066612, 0.52556514, 0.9999543 , 0.52630022, 0.9999764 ,\n", - " 0.53222709, 0.69379818, 0.69407544, 0.69455883, 0.69540824,\n", - " 0.84496977, 0.99748102, 0.98613977, 1.01566418, 1.00597786,\n", - " 0.99964893, 0.99961999, 0.84942117, 0.69631136, 0.95183005,\n", - " 1.0341999 , 0.99939369, 0.99575591, 0.9999188 , 0.99401832,\n", - " 0.99399986, 0.99990646, 0.99998374, 0.99919904, 0.99993331,\n", - " 1.00080159]), array([0.35 , 0.35 , 0.46 , 0.53623882, 0.45905638,\n", - " 0.52066612, 0.52504668, 0.9999543 , 0.52576305, 0.99997613,\n", - " 0.52653168, 0.69379818, 0.69399876, 0.69438798, 0.69511481,\n", - " 0.78989071, 0.99748102, 0.98823799, 1.01566418, 0.99499676,\n", - " 0.99964885, 0.99961999, 0.79700252, 0.69601792, 0.91018616,\n", - " 1.0341999 , 0.99937189, 0.99575591, 0.99991335, 0.99401832,\n", - " 0.99399986, 0.99990437, 0.99998301, 0.99917186, 0.99992876,\n", - " 1.00080088]), array([0.35 , 0.35 , 0.46 , 0.47221673, 0.42149451,\n", - " 0.52066612, 0.52458309, 0.9999543 , 0.5252574 , 0.99997587,\n", - " 0.52616326, 0.69379818, 0.69394329, 0.69425233, 0.69486675,\n", - " 0.71990263, 0.99748102, 1.01613044, 1.01566418, 0.99499676,\n", - " 0.99964876, 0.99961999, 0.79700252, 0.69573561, 0.87589414,\n", - " 1.0341999 , 0.99935023, 0.99575591, 0.99990774, 0.99401832,\n", - " 0.99399986, 0.99990229, 0.99998228, 0.99914497, 0.99992408,\n", - " 1.00080017]), array([0.35 , 0.35 , 0.46 , 0.4673563 , 0.42119652,\n", - " 0.51614259, 0.52368985, 0.9999543 , 0.52458566, 0.99997561,\n", - " 0.52570715, 0.68713647, 0.69206074, 0.69358378, 0.69449776,\n", - " 0.70610892, 0.99748102, 1.01613044, 1.01566418, 0.99499676,\n", - " 0.99964868, 0.99961999, 0.77419172, 0.69543204, 0.87589414,\n", - " 1.0341999 , 0.99932869, 0.99575591, 0.99990198, 0.99401832,\n", - " 0.99399986, 0.99990023, 0.99998153, 0.99911836, 0.99991925,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.46003617, 0.46978652, 0.42134552,\n", - " 0.5236988 , 0.52468436, 0.9999543 , 0.52581943, 0.99997547,\n", - " 0.52765729, 0.69224835, 0.69381785, 0.69485975, 0.69577715,\n", - " 0.69489451, 0.99870274, 1.01613044, 1.01566418, 0.99499676,\n", - " 0.99964864, 0.99961999, 0.78837772, 0.69635517, 0.95777359,\n", - " 1.0341999 , 0.99932869, 1.01492488, 0.99989897, 0.99401832,\n", - " 0.99700131, 0.99989915, 0.99998114, 0.99911815, 0.99991674,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.46007207, 0.46978652, 0.42134552,\n", - " 0.52370856, 0.52478363, 0.9999543 , 0.52592524, 0.99997533,\n", - " 0.52765729, 0.69244261, 0.69406781, 0.69518045, 0.69599324,\n", - " 0.69487395, 0.99870274, 1.02327693, 1.01566418, 0.99499676,\n", - " 0.99964859, 0.99961999, 0.86561951, 0.69635517, 0.99941021,\n", - " 1.0341999 , 0.99932869, 1.01682727, 0.99989598, 0.99401832,\n", - " 0.99700131, 0.99989808, 0.99998074, 0.99911795, 0.99991423,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.4601077 , 0.46978652, 0.42134552,\n", - " 0.52371913, 0.52488294, 0.9999543 , 0.52602496, 0.9999752 ,\n", - " 0.52765729, 0.69265437, 0.69442595, 0.69602016, 0.69814831,\n", - " 0.69486281, 0.99870274, 1.0333271 , 1.01566418, 0.99499676,\n", - " 0.99964855, 0.99961999, 0.96306873, 0.70175776, 1.00007599,\n", - " 1.0341999 , 0.99932869, 1.01682727, 0.99989299, 0.99401832,\n", - " 0.99700131, 0.99989702, 0.99998034, 0.99911775, 0.99991174,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.46014307, 0.46978652, 0.42134552,\n", - " 0.52373049, 0.52498182, 0.9999543 , 0.52611895, 0.99997507,\n", - " 0.52765729, 0.69288654, 0.69482886, 0.69662229, 0.69814831,\n", - " 0.69486197, 0.99870274, 1.0333271 , 1.01566418, 0.99499676,\n", - " 0.9996485 , 0.99961999, 0.99997958, 0.73558605, 1.0004227 ,\n", - " 1.0341999 , 0.99932869, 1.01682727, 0.99989002, 0.99401832,\n", - " 0.99700131, 0.99989596, 0.99997993, 0.99911754, 0.99990926,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.46017817, 0.46978652, 0.42134552,\n", - " 0.52374264, 0.52507987, 0.9999543 , 0.52620752, 0.99997493,\n", - " 0.52765729, 0.69312905, 0.69515785, 0.69662229, 0.71032068,\n", - " 0.69486933, 0.99870274, 1.0333271 , 1.01566418, 0.99499676,\n", - " 0.99964846, 0.99961999, 1.0001966 , 0.7993787 , 1.00060326,\n", - " 1.03284936, 0.99932869, 1.01682727, 0.99988706, 0.99401832,\n", - " 0.99700131, 0.9998949 , 0.99997953, 0.99911734, 0.99990678,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.46021302, 0.46978652, 0.42134552,\n", - " 0.52375554, 0.52517676, 0.9999543 , 0.52629099, 0.9999748 ,\n", - " 0.52765729, 0.69337435, 0.69542649, 0.69662229, 0.75632735,\n", - " 0.69488318, 0.99870274, 1.0333271 , 1.01566418, 0.99499676,\n", - " 0.99964842, 0.99961999, 1.00037082, 0.87949849, 1.00069729,\n", - " 1.00871493, 0.99932869, 1.01682727, 0.99988411, 0.99401832,\n", - " 0.99700131, 0.99989384, 0.99997912, 0.99911713, 0.99990432,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.46024761, 0.46978652, 0.42134552,\n", - " 0.52376919, 0.52527219, 0.9999543 , 0.52636965, 0.99997467,\n", - " 0.52765729, 0.6937418 , 0.69681588, 0.70300042, 0.82542855,\n", - " 0.69493125, 0.94753378, 1.0333271 , 1.01566418, 0.99499676,\n", - " 0.99964837, 0.99961999, 1.00050146, 0.96836591, 1.00074625,\n", - " 1.00661999, 0.99932869, 1.01682727, 0.99988116, 0.99401832,\n", - " 0.99700131, 0.99989279, 0.9999787 , 0.99911693, 0.99990187,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.46028194, 0.46978652, 0.42134552,\n", - " 0.52378356, 0.52536592, 0.9999543 , 0.52644379, 0.99997454,\n", - " 0.52765729, 0.69407002, 0.69681588, 0.73174194, 0.90839251,\n", - " 0.69497812, 0.74792478, 1.0333271 , 1.01566418, 0.99499676,\n", - " 0.99964833, 0.99961999, 1.00059551, 1.00033075, 1.00077175,\n", - " 0.99401832, 0.99932869, 1.01682727, 0.99987823, 0.99401832,\n", - " 0.99700131, 0.99989175, 0.99997829, 0.99911673, 0.99989943,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.46028194, 0.48828887, 0.42134552,\n", - " 0.52379863, 0.52545774, 0.9999543 , 0.52651366, 0.99997441,\n", - " 0.52765729, 0.69436319, 0.69681588, 0.78850169, 0.97876991,\n", - " 0.69502382, 0.73426989, 1.0333271 , 1.01972026, 0.99499676,\n", - " 0.99964829, 0.99961999, 1.00066146, 1.00039883, 1.00078503,\n", - " 0.99401832, 0.99932869, 1.01682727, 0.99987531, 0.99401832,\n", - " 0.99700131, 0.99989071, 0.99997787, 0.99911652, 0.999897 ,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.46028194, 0.53623882, 0.42134552,\n", - " 0.52381437, 0.52554748, 0.9999543 , 0.5265795 , 0.99997429,\n", - " 0.52765729, 0.69462507, 0.69681588, 0.86405756, 1.00040122,\n", - " 0.69506839, 0.73048965, 1.0333271 , 1.02692011, 0.99499676,\n", - " 0.99964825, 0.99961999, 1.00070687, 1.00046224, 1.00079195,\n", - " 0.99401832, 0.99932869, 1.01682727, 0.9998724 , 0.99401832,\n", - " 0.99700131, 0.99988967, 0.99997745, 0.99911632, 0.99989458,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.46028194, 0.53623882, 0.42134552,\n", - " 0.52383075, 0.525635 , 0.9999543 , 0.52664156, 0.99997416,\n", - " 0.52765729, 0.69485898, 0.69681588, 0.94116107, 1.00044524,\n", - " 0.69511185, 0.72008354, 1.0333271 , 1.02692011, 0.97350272,\n", - " 0.9996482 , 0.99961999, 1.00073773, 1.00051896, 1.00079555,\n", - " 0.99401832, 0.99932869, 1.01682727, 0.9998695 , 0.99401832,\n", - " 0.99700131, 0.99988863, 0.99997702, 0.99911612, 0.99989217,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.46028194, 0.53623882, 0.42134552,\n", - " 0.52384775, 0.5257202 , 0.9999543 , 0.52670004, 0.99997403,\n", - " 0.52765729, 0.69485898, 0.71598089, 0.98886251, 1.00049123,\n", - " 0.69511185, 0.70509454, 1.0333271 , 1.02692011, 0.96477849,\n", - " 0.99964816, 0.99961999, 1.0007585 , 1.00056827, 1.00079743,\n", - " 0.99401832, 0.99932869, 1.01682727, 0.99986661, 0.99401832,\n", - " 0.99700131, 0.9998876 , 0.99997659, 0.99911592, 0.99988977,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.46028194, 0.53623882, 0.42134552,\n", - " 0.52386535, 0.525803 , 0.9999543 , 0.52675515, 0.99997391,\n", - " 0.52765729, 0.69485898, 0.76288772, 1.00047132, 1.00053574,\n", - " 0.69511185, 0.7050831 , 1.0333271 , 1.02692011, 0.89617499,\n", - " 0.98867765, 0.99460736, 1.00077238, 1.00061029, 1.0007984 ,\n", - " 0.99401832, 0.99932869, 1.01682727, 0.99986373, 0.99401832,\n", - " 0.99700135, 0.99986736, 0.99997607, 0.99911572, 0.99988738,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.46028194, 0.56199602, 0.42134552,\n", - " 0.52388351, 0.52588332, 0.9999543 , 0.52680709, 0.99997378,\n", - " 0.52765729, 0.69485898, 0.82996129, 1.00050116, 1.0005768 ,\n", - " 0.69511185, 0.7050831 , 1.0333271 , 1.03169931, 0.86857837,\n", - " 0.98749149, 0.98625476, 1.00078162, 1.00064556, 1.00079891,\n", - " 0.99401832, 0.99932869, 1.01682727, 0.99986087, 0.99401832,\n", - " 0.99700135, 0.99986736, 0.99997555, 0.99911552, 0.999885 ,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.46028194, 0.56430767, 0.42134552,\n", - " 0.52390221, 0.52596114, 0.9999543 , 0.52685604, 0.99997366,\n", - " 0.52765729, 0.69485898, 0.90636621, 1.00053293, 1.00061345,\n", - " 0.69511185, 0.7050831 , 1.0333271 , 1.03683747, 0.79991365,\n", - " 0.98749149, 0.98625476, 1.00078773, 1.00067483, 1.00079918,\n", - " 0.99401832, 0.99932869, 1.01682727, 0.99985801, 0.99401832,\n", - " 0.99700135, 0.99986736, 0.99997503, 0.99911531, 0.99988263,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.46028194, 0.56430767, 0.42134552,\n", - " 0.52392165, 0.52606271, 0.9999543 , 0.52723075, 0.99997353,\n", - " 0.5333642 , 0.69485898, 0.96733595, 1.00056475, 1.00064539,\n", - " 0.69511185, 0.7050831 , 1.03167829, 1.03683747, 0.76231842,\n", - " 0.98749149, 0.98625476, 1.00079176, 1.0006989 , 1.00079931,\n", - " 0.99370207, 0.99932869, 1.01682727, 0.99985516, 0.98851255,\n", - " 0.99700135, 0.99986736, 0.99997452, 0.99911511, 0.99988027,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.46028194, 0.56430767, 0.42134552,\n", - " 0.52394176, 0.52615615, 0.9999543 , 0.52723075, 0.99997341,\n", - " 0.55263324, 0.69485898, 0.9952664 , 1.00059531, 1.00067275,\n", - " 0.69511185, 0.7050831 , 1.02075835, 1.03683747, 0.72627909,\n", - " 0.98749149, 0.98625476, 1.00079441, 1.00071856, 1.00079939,\n", - " 0.99370207, 0.99932869, 1.01887919, 0.99985232, 0.95561556,\n", - " 0.99700135, 0.99986736, 0.999974 , 0.99911491, 0.99987793,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.46028194, 0.606457 , 0.42134552,\n", - " 0.52396246, 0.52624211, 0.9999543 , 0.52723075, 0.99997329,\n", - " 0.55263324, 0.69485898, 1.00054972, 1.00062375, 1.00069585,\n", - " 0.69511185, 0.7050831 , 1.02075835, 1.03683747, 0.70405422,\n", - " 0.98749149, 0.98625476, 1.00079616, 1.00073454, 1.00079942,\n", - " 0.99370207, 0.99932869, 1.03411786, 0.99984949, 0.95561556,\n", - " 0.99700135, 0.99986736, 0.99997349, 0.99911471, 0.99987559,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.46028194, 0.64 , 0.42134552,\n", - " 0.52398369, 0.5263212 , 0.9999543 , 0.52723075, 0.99997317,\n", - " 0.55263324, 0.69485898, 1.00056805, 1.00064961, 1.00071514,\n", - " 0.69511185, 0.7050831 , 1.02075835, 1.03683747, 0.69601835,\n", - " 0.98749149, 0.98625476, 1.0007973 , 1.00074746, 1.00079944,\n", - " 0.99370207, 0.99932869, 1.03411786, 0.99984668, 0.95561556,\n", - " 0.99700135, 0.99986736, 0.99997298, 0.99911451, 0.99987326,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.46028194, 0.64 , 0.42134552,\n", - " 0.52400538, 0.52639397, 0.9999543 , 0.52723075, 0.99997305,\n", - " 0.56288702, 0.708251 , 1.00058724, 1.00067267, 1.00073112,\n", - " 0.69511185, 0.7050831 , 1.01174623, 1.03683747, 0.69601835,\n", - " 0.98749149, 0.98625476, 1.00079805, 1.00075787, 1.00079945,\n", - " 0.99370207, 0.99932869, 1.03411786, 0.99984387, 0.95561556,\n", - " 0.99700135, 0.99986736, 0.99997248, 0.99911431, 0.99987094,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.46028194, 0.64 , 0.42134552,\n", - " 0.52402747, 0.52646091, 0.9999543 , 0.52723075, 0.99997293,\n", - " 0.58853473, 0.74572129, 1.00060663, 1.00069292, 1.00074425,\n", - " 0.69511185, 0.7050831 , 1.00806823, 1.03683747, 0.69601835,\n", - " 0.98749149, 0.98625476, 1.00079854, 1.00076624, 1.00079946,\n", - " 0.99370207, 0.99932869, 1.03411786, 0.99984107, 0.95561556,\n", - " 0.99700135, 0.99986736, 0.99997197, 0.99911411, 0.99986863,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.46028194, 0.64 , 0.42134552,\n", - " 0.52404993, 0.52652249, 0.9999543 , 0.52723075, 0.99997281,\n", - " 0.58853473, 0.80541446, 1.00062568, 1.00071048, 1.00075498,\n", - " 0.69511185, 0.7050831 , 0.99619224, 1.03683747, 0.69601835,\n", - " 0.98749149, 0.98625476, 1.00079886, 1.00077296, 1.00079946,\n", - " 0.99370207, 0.99932869, 1.03411786, 0.99983828, 0.95561556,\n", - " 0.99700135, 0.99986736, 0.99997147, 0.99911391, 0.99986633,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.46028194, 0.64 , 0.42134552,\n", - " 0.52407269, 0.52657915, 0.9999543 , 0.52723075, 0.99997269,\n", - " 0.58853473, 0.8784044 , 1.000644 , 1.00072554, 1.00076371,\n", - " 0.69511185, 0.7050831 , 0.99619224, 1.03683747, 0.69601835,\n", - " 0.98749149, 0.98625476, 1.00079907, 1.00077833, 1.00079946,\n", - " 0.99370207, 0.99932869, 1.03411786, 0.9998355 , 0.95561556,\n", - " 0.99700135, 0.99986736, 0.99997097, 0.99911371, 0.99986404,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.46028194, 0.64 , 0.42134552,\n", - " 0.52409571, 0.52663128, 0.9999543 , 0.52723075, 0.99997257,\n", - " 0.6046328 , 0.94502293, 1.0006613 , 1.00073834, 1.00077078,\n", - " 0.69511185, 0.7050831 , 0.99619224, 1.03683747, 0.69601835,\n", - " 0.98749149, 0.98625476, 1.00079921, 1.00078263, 1.00079946,\n", - " 0.99370207, 0.99932869, 1.03411786, 0.99983274, 0.93282917,\n", - " 0.99700135, 0.99986736, 0.99997048, 0.99911352, 0.99986176,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.46028194, 0.64 , 0.42134552,\n", - " 0.52414253, 0.52672009, 0.9999543 , 0.52723075, 0.99997234,\n", - " 0.63550597, 0.99409577, 1.00069093, 1.00075687, 1.00078034,\n", - " 0.69511185, 0.7050831 , 0.99619224, 1.03683747, 0.69601835,\n", - " 0.98749149, 0.98625476, 1.00079934, 1.00078834, 1.00079946,\n", - " 0.99370207, 0.99932869, 1.03411786, 0.99982724, 0.90005063,\n", - " 0.99700135, 0.99986736, 0.9999695 , 0.99911312, 0.99985724,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.46028194, 0.64 , 0.42134552,\n", - " 0.52418985, 0.52679574, 0.9999543 , 0.52723075, 0.99997211,\n", - " 0.64274588, 1.00020994, 1.00071546, 1.00077005, 1.00078675,\n", - " 0.69511185, 0.72925734, 0.99619224, 1.03683747, 0.69601835,\n", - " 0.98749149, 0.98625476, 1.0007994 , 1.00079212, 1.00079946,\n", - " 0.99370207, 0.99932869, 1.03411786, 0.99982178, 0.87589414,\n", - " 0.99700135, 0.99986736, 0.99996852, 0.99911272, 0.99985276,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.46028194, 0.64 , 0.4213657 ,\n", - " 0.52423749, 0.52686019, 0.9999543 , 0.52723075, 0.99997189,\n", - " 0.67172051, 1.00031129, 1.00073525, 1.0007793 , 1.00079103,\n", - " 0.69511185, 0.84074946, 0.99619224, 1.03683747, 0.69601835,\n", - " 1.00190861, 0.99426724, 1.00079944, 1.00079461, 1.00079946,\n", - " 0.99370207, 0.99932869, 1.03411786, 0.99981636, 0.90742734,\n", - " 0.99700135, 0.99986736, 0.99996756, 0.99911233, 0.99984831,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.46028194, 0.64 , 0.45905638,\n", - " 0.52428525, 0.52691508, 0.9999543 , 0.52723075, 0.99997167,\n", - " 0.69011889, 1.00039611, 1.0007509 , 1.00078573, 1.00079388,\n", - " 0.69511185, 0.9716854 , 0.99619224, 1.03683747, 0.69601835,\n", - " 1.0145253 , 1.01597304, 1.00079945, 1.00079627, 1.00079946,\n", - " 0.99370207, 0.99932869, 1.03411786, 0.99981098, 0.99577377,\n", - " 0.99700135, 0.99986736, 0.9999666 , 0.99911194, 0.99984391,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.46028194, 0.64 , 0.45905638,\n", - " 0.52433216, 0.52691508, 0.9999543 , 0.54795068, 0.99997145,\n", - " 0.69406664, 1.00046691, 1.00076307, 1.00079016, 1.00079577,\n", - " 0.69511185, 1.00051283, 0.99619224, 1.03683747, 0.69601835,\n", - " 1.0145253 , 1.01597304, 1.00079946, 1.00079736, 1.00079946,\n", - " 0.96341745, 0.99932869, 1.02544231, 0.99980564, 1.00071194,\n", - " 0.99700135, 0.99986736, 0.99996566, 0.99911154, 0.99983954,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.46028194, 0.64 , 0.45905638,\n", - " 0.52437823, 0.52691508, 0.9999543 , 0.55587 , 0.99997123,\n", - " 0.69406664, 1.00052585, 1.00077241, 1.00079319, 1.00079702,\n", - " 0.69511185, 1.00052067, 0.99619224, 1.03683747, 0.69601835,\n", - " 1.0145253 , 1.01597304, 1.00079946, 1.00079807, 1.00079946,\n", - " 0.95561556, 0.99932869, 1.0031201 , 0.99980033, 1.00071755,\n", - " 0.99700135, 0.99986736, 0.99996472, 0.99911115, 0.99983521,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.46028194, 0.64 , 0.45905638,\n", - " 0.52442349, 0.52691508, 0.9999543 , 0.58380697, 0.99997101,\n", - " 0.69406664, 1.00057479, 1.00077949, 1.00079525, 1.00079785,\n", - " 0.69511185, 1.00052794, 0.99619224, 1.03683747, 0.69601835,\n", - " 1.0145253 , 1.01597304, 1.00079946, 1.00079855, 1.00079946,\n", - " 0.95561556, 0.99932869, 0.99380327, 0.99979506, 1.00072279,\n", - " 0.98687069, 0.99986736, 0.99996379, 0.99911076, 0.99983091,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.46028194, 0.64 , 0.45905638,\n", - " 0.52446793, 0.52691508, 0.98672132, 0.59361633, 0.99997101,\n", - " 0.69406664, 1.00061531, 1.0007848 , 1.00079664, 1.0007984 ,\n", - " 0.69511185, 1.00053466, 0.99619224, 1.03683747, 0.69601835,\n", - " 1.0145253 , 1.01597304, 1.00079946, 1.00079886, 1.00079946,\n", - " 0.94889008, 0.99932869, 0.99380327, 0.99978983, 1.0007277 ,\n", - " 0.9864575 , 0.99986736, 0.99996287, 0.99911037, 0.99982665,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.46028194, 0.64 , 0.45905638,\n", - " 0.52451158, 0.52691508, 0.98415838, 0.63276766, 0.99997101,\n", - " 0.69406664, 1.00064878, 1.00078876, 1.00079758, 1.00079876,\n", - " 0.69511185, 1.00054085, 0.99619224, 1.03683747, 0.69601835,\n", - " 1.0145253 , 1.01597304, 1.00079946, 1.00079907, 1.00079946,\n", - " 0.9067652 , 0.99932869, 0.99380327, 0.99978464, 1.0007323 ,\n", - " 0.99005212, 0.99986736, 0.99996196, 0.99910998, 0.99982243,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.46028194, 0.64 , 0.45905638,\n", - " 0.52466587, 0.53316096, 0.98415838, 0.63912593, 0.99997101,\n", - " 0.69406664, 1.00067635, 1.00079169, 1.00079821, 1.000799 ,\n", - " 0.69511185, 1.00054656, 0.88968637, 1.03683747, 0.69601835,\n", - " 1.0145253 , 1.01597304, 1.00079946, 1.0007992 , 1.00079946,\n", - " 0.88084251, 0.99932869, 0.99380327, 0.99977948, 1.0007366 ,\n", - " 1.01155248, 0.99986736, 0.99996106, 0.9991096 , 0.99981824,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.46028194, 0.64 , 0.48254693,\n", - " 0.52466587, 0.55191034, 0.98415838, 0.6657122 , 0.99997101,\n", - " 0.69406664, 1.00069902, 1.00079384, 1.00079863, 1.00079916,\n", - " 0.69511185, 1.00055181, 0.73500686, 1.03683747, 0.69601835,\n", - " 1.02453682, 1.02161216, 1.00079946, 1.00079929, 1.00079946,\n", - " 0.90096787, 0.99932869, 0.99380327, 0.99977436, 1.00074063,\n", - " 1.01155248, 0.99986736, 0.99996017, 0.99910921, 0.99981409,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.46028194, 0.64 , 0.50596519,\n", - " 0.52466587, 0.56110634, 0.98415838, 0.68958969, 0.99997101,\n", - " 0.69406664, 1.00071762, 1.00079541, 1.00079891, 1.00079926,\n", - " 0.69511185, 1.00055664, 0.71719663, 1.03683747, 0.71046986,\n", - " 1.03303902, 1.03632518, 1.00079946, 1.00079935, 1.00079946,\n", - " 0.98117886, 0.99932869, 0.99380327, 0.99976928, 1.00074439,\n", - " 1.02172643, 0.99986736, 0.99995928, 0.99910883, 0.99980997,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.46028194, 0.64 , 0.50596519,\n", - " 0.52466587, 0.59091678, 0.98415838, 0.693628 , 0.99997101,\n", - " 0.72165039, 1.00074186, 1.00079711, 1.00079918, 1.00079936,\n", - " 0.70930971, 1.00056427, 0.70508386, 1.03683747, 0.87393893,\n", - " 1.03303902, 1.03632518, 1.00079946, 1.00079941, 1.00079946,\n", - " 1.0002832 , 0.99932869, 0.99380327, 0.99976007, 1.00075054,\n", - " 1.02743299, 0.99986736, 0.99995769, 0.99910812, 0.99980253,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.4417406 , 0.64 , 0.50596519,\n", - " 0.52466587, 0.63594679, 0.98415838, 0.693628 , 0.99997101,\n", - " 0.91582582, 1.00075902, 1.00079811, 1.00079932, 1.00079941,\n", - " 0.884519 , 1.00057084, 0.70508386, 1.03683747, 0.99906401,\n", - " 1.03303902, 1.03632518, 1.00079946, 1.00079943, 1.00079946,\n", - " 1.00036964, 0.99932869, 0.99380327, 0.99975097, 1.000756 ,\n", - " 1.02743299, 0.99986736, 0.99995612, 0.99910742, 0.99979521,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.43548642, 0.64 , 0.52404463,\n", - " 0.52466587, 0.67570013, 1.00316404, 0.693628 , 0.99997101,\n", - " 1.00023651, 1.00077112, 1.00079869, 1.00079939, 1.00079944,\n", - " 1.00061897, 1.00057648, 0.70508386, 1.03683747, 1.00074909,\n", - " 1.03303902, 1.03632518, 1.00079946, 1.00079945, 1.00079946,\n", - " 1.00044117, 0.99932869, 0.99380327, 0.999742 , 1.00076085,\n", - " 1.02960116, 0.99986736, 0.99995458, 0.99910673, 0.999788 ,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.43548642, 0.64 , 0.52426671,\n", - " 0.52466587, 0.69315761, 1.01634518, 0.693628 , 0.99997101,\n", - " 1.00029512, 1.00077963, 1.00079902, 1.00079943, 1.00079945,\n", - " 1.00063438, 1.00058133, 0.70737881, 1.03683747, 1.0007533 ,\n", - " 1.02771284, 1.034829 , 1.00079946, 1.00079946, 1.00079946,\n", - " 1.00050041, 0.99932869, 0.96961073, 0.99973313, 1.00076516,\n", - " 1.02290135, 0.99986736, 0.99995307, 0.99910603, 0.9997809 ,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.43548642, 0.64 , 0.52429152,\n", - " 0.52466587, 0.69315761, 1.01634518, 0.7088124 , 0.99997101,\n", - " 1.00034805, 1.0007856 , 1.00079921, 1.00079944, 1.00079946,\n", - " 1.0006485 , 1.0005855 , 0.79132362, 1.03683747, 1.00075717,\n", - " 0.99871417, 1.00016912, 1.00079946, 1.00079946, 1.00079946,\n", - " 1.00054951, 0.99932869, 0.95588466, 0.99972439, 1.00076899,\n", - " 1.01159743, 0.99986736, 0.99995158, 0.99910534, 0.99977391,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.41786246, 0.64 , 0.5243148 ,\n", - " 0.52466587, 0.69315761, 1.01634518, 0.82686761, 0.99997101,\n", - " 1.00039572, 1.00078979, 1.00079932, 1.00079945, 1.00079946,\n", - " 1.00066141, 1.00058908, 0.98499076, 1.03240336, 1.00076071,\n", - " 0.99544382, 0.99499676, 1.00079946, 1.00079946, 1.00079946,\n", - " 1.00059026, 0.99932869, 0.93333144, 0.99971575, 1.00077239,\n", - " 0.99988595, 0.99986736, 0.99995012, 0.99910466, 0.99976702,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.40514395, 0.64 , 0.52433662,\n", - " 0.52466587, 0.69315761, 1.01634518, 0.96162276, 0.99997101,\n", - " 1.00043856, 1.00079271, 1.00079938, 1.00079946, 1.00079946,\n", - " 1.00067322, 1.00059216, 1.0005634 , 1.01146725, 1.00076395,\n", - " 0.99544382, 0.99499676, 1.00079946, 1.00079946, 1.00079946,\n", - " 1.00062412, 0.99932869, 0.89050132, 0.99970723, 1.00077541,\n", - " 0.99988595, 0.99986736, 0.99994868, 0.99910397, 0.99976025,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.40514395, 0.64 , 0.5243571 ,\n", - " 0.52466587, 0.70674318, 1.03599841, 1.00036738, 0.99997101,\n", - " 1.00047699, 1.00079476, 1.00079942, 1.00079946, 1.00079946,\n", - " 1.00068403, 1.0005948 , 1.00056628, 0.99456754, 1.00076692,\n", - " 0.99544382, 0.99499676, 1.00079946, 1.00079946, 1.00079946,\n", - " 1.00065227, 0.99932869, 0.97255813, 0.99969881, 1.00077809,\n", - " 0.99988595, 0.99986736, 0.99994727, 0.99910329, 0.99975358,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.40514395, 0.64 , 0.52437629,\n", - " 0.52466587, 0.81126332, 1.03923044, 1.00039377, 0.99997101,\n", - " 1.00051144, 1.00079619, 1.00079944, 1.00079946, 1.00079946,\n", - " 1.00069391, 1.00059708, 1.00056911, 0.99442458, 1.00076965,\n", - " 0.98631649, 0.9886769 , 1.00079946, 1.00079946, 1.00079946,\n", - " 1.00067571, 0.99932869, 1.00052132, 0.9996905 , 1.00078048,\n", - " 0.99988595, 0.99986736, 0.99994588, 0.99910261, 0.99974701,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.40514395, 0.64 , 0.5243943 ,\n", - " 0.52466587, 0.94381111, 1.03923044, 1.00042098, 0.99997101,\n", - " 1.00054227, 1.00079718, 1.00079945, 1.00079946, 1.00079946,\n", - " 1.00070295, 1.00059903, 1.00057185, 0.99442458, 1.00077214,\n", - " 0.88206169, 0.89564992, 1.00079946, 1.00079946, 1.00079946,\n", - " 1.00069525, 0.99932869, 1.00054127, 0.9996823 , 1.0007826 ,\n", - " 0.99988595, 0.99986736, 0.99994452, 0.99910194, 0.99974054,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.40514395, 0.64 , 0.52441118,\n", - " 0.52466587, 0.9952811 , 1.03923044, 1.00044826, 0.99997101,\n", - " 1.00056985, 1.00079788, 1.00079946, 1.00079946, 1.00079946,\n", - " 1.00071121, 1.00060071, 1.0005745 , 0.99442458, 1.00077443,\n", - " 0.74593284, 0.73460469, 1.00079946, 1.00079946, 1.00079946,\n", - " 1.00071157, 0.99932869, 1.0005608 , 0.9996742 , 1.00078448,\n", - " 0.95620824, 0.99986736, 0.99994318, 0.99910127, 0.99973417,\n", - " 1.00079946]), array([0.35 , 0.35 , 0.40514395, 0.64 , 0.52442702,\n", - " 0.52466587, 1.00042392, 1.03222898, 1.00047505, 0.99997101,\n", - " 1.00059451, 1.00079836, 1.00079946, 1.00079946, 1.00079946,\n", - " 1.00071877, 1.00060215, 1.00057704, 0.99442458, 1.00077652,\n", - " 0.72372435, 0.69629545, 1.00079946, 1.00079946, 1.00079946,\n", - " 1.0007252 , 0.99932869, 1.00057965, 0.99966621, 1.00078615,\n", - " 0.7869796 , 0.99986736, 0.99994186, 0.9991006 , 0.9997279 ,\n", - " 1.00079946]), array([0.35 , 0.35403632, 0.40516403, 0.64909252, 0.5244331 ,\n", - " 0.52466587, 1.00043081, 0.99535757, 1.00048551, 0.99997101,\n", - " 1.0006038 , 1.00079852, 1.00079946, 1.00079946, 1.00079946,\n", - " 1.00072164, 1.00060268, 1.00057802, 0.99442458, 1.00077732,\n", - " 0.72372435, 0.69629545, 1.00079946, 1.00079946, 1.00079946,\n", - " 1.0007302 , 0.99932869, 1.00058697, 0.99966308, 1.00078678,\n", - " 0.76735629, 0.99986736, 0.99994135, 0.99910034, 0.99972545,\n", - " 1.00079946]), array([0.35 , 0.42134686, 0.40516403, 0.66657632, 0.52443903,\n", - " 0.52466587, 1.00043808, 0.99535757, 1.00049585, 0.99997101,\n", - " 1.00061267, 1.00079866, 1.00079946, 1.00079946, 1.00079946,\n", - " 1.00072441, 1.00060318, 1.00057898, 0.99442458, 1.00077809,\n", - " 0.72372435, 0.69629545, 1.00079946, 1.00079946, 1.00079946,\n", - " 1.00073483, 0.99932869, 1.00059416, 0.99965996, 1.00078738,\n", - " 0.76431016, 0.99986736, 0.99994084, 0.99910008, 0.99972301,\n", - " 1.00079946]), array([0.35 , 0.42134686, 0.40516403, 0.66657632, 0.52444481,\n", - " 0.52466587, 1.00044568, 0.99535757, 1.00050603, 0.99997101,\n", - " 1.00062114, 1.00079878, 1.00079946, 1.00079946, 1.00079946,\n", - " 1.00072708, 1.00060365, 1.00057993, 0.99442458, 1.00077884,\n", - " 0.72372435, 0.69629545, 1.00079946, 1.00079946, 1.00079946,\n", - " 1.00073914, 0.99932869, 1.0006012 , 0.99965685, 1.00078795,\n", - " 0.76431016, 0.99986736, 0.99994033, 0.99909982, 0.99972058,\n", - " 1.00079946]), array([0.35 , 0.42134686, 0.40516403, 0.66657632, 0.52445044,\n", - " 0.52466587, 1.00045354, 0.99535757, 1.00051604, 0.99997101,\n", - " 1.00062924, 1.00079888, 1.00079946, 1.00079946, 1.00079946,\n", - " 1.00072966, 1.0006041 , 1.00058085, 0.99442458, 1.00077955,\n", - " 0.72372435, 0.69629545, 1.00079946, 1.00079946, 1.00079946,\n", - " 1.00074314, 0.99932869, 1.0006081 , 0.99965376, 1.00078849,\n", - " 0.76431016, 0.99986736, 0.99993982, 0.99909956, 0.99971817,\n", - " 1.00079946]), array([0.35 , 0.42134686, 0.40516403, 0.66657632, 0.52445593,\n", - " 0.52466587, 1.00046163, 0.99535757, 1.00052587, 0.99997101,\n", - " 1.00063696, 1.00079897, 1.00079946, 1.00079946, 1.00079946,\n", - " 1.00073215, 1.00060451, 1.00058176, 0.99442458, 1.00078024,\n", - " 0.72372435, 0.69629545, 1.00079946, 1.00079946, 1.00079946,\n", - " 1.00074686, 0.99932869, 1.00061484, 0.99965069, 1.00078901,\n", - " 0.76431016, 0.99986736, 0.99993932, 0.9990993 , 0.99971577,\n", - " 1.00079946]), array([0.35 , 0.42134686, 0.40516403, 0.66657632, 0.52446128,\n", - " 0.52466587, 1.00046989, 0.99535757, 1.00053549, 0.99997101,\n", - " 1.00064434, 1.00079904, 1.00079946, 1.00079946, 1.00079946,\n", - " 1.00073454, 1.0006049 , 1.00058265, 0.99442458, 1.00078091,\n", - " 0.72372435, 0.69629545, 1.00079946, 1.00079946, 1.00079946,\n", - " 1.00075032, 0.99932869, 1.00062143, 0.99964763, 1.0007895 ,\n", - " 0.76431016, 0.99986736, 0.99993882, 0.99909904, 0.99971339,\n", - " 1.00079946]), array([0.35 , 0.42134686, 0.40516403, 0.7617132 , 0.52446649,\n", - " 0.52466587, 1.00047828, 0.99535757, 1.00054491, 0.99997101,\n", - " 1.00065139, 1.0007991 , 1.00079946, 1.00079946, 1.00079946,\n", - " 1.00073686, 1.00060527, 1.00058351, 0.99442458, 1.00078156,\n", - " 0.72372435, 0.69629545, 1.00079946, 1.00079946, 1.00079946,\n", - " 1.00075353, 0.99932869, 1.00062785, 0.99964459, 1.00078997,\n", - " 0.76431016, 0.99986736, 0.99993833, 0.99909878, 0.99971102,\n", - " 1.00079946]), array([0.35 , 0.42134686, 0.40516403, 0.79833547, 0.52447157,\n", - " 0.52466587, 1.00048676, 0.99535757, 1.00055411, 0.99997101,\n", - " 1.00065811, 1.00079916, 1.00079946, 1.00079946, 1.00079946,\n", - " 1.00073908, 1.00060561, 1.00058436, 0.99442458, 1.00078218,\n", - " 0.72372435, 0.69629545, 1.00079946, 1.00079946, 1.00079946,\n", - " 1.00075652, 0.99932869, 1.0006341 , 0.99964157, 1.00079042,\n", - " 0.76431016, 0.99986736, 0.99993784, 0.99909852, 0.99970867,\n", - " 1.00079946]), array([0.35 , 0.42134686, 0.40516403, 0.79833547, 0.52447652,\n", - " 0.52466587, 1.00049529, 0.99535757, 1.00056308, 0.99997101,\n", - " 1.00066454, 1.0007992 , 1.00079946, 1.00079946, 1.00079946,\n", - " 1.00074123, 1.00060594, 1.00058519, 0.99442458, 1.00078278,\n", - " 0.72372435, 0.69629545, 1.00079946, 1.00079946, 1.00079946,\n", - " 1.00075931, 0.99932869, 1.00064018, 0.99963856, 1.00079085,\n", - " 0.76431016, 0.99986736, 0.99993735, 0.99909826, 0.99970633,\n", - " 1.00079946]), array([0.35 , 0.42134686, 0.40516403, 0.79833547, 0.52448134,\n", - " 0.52466587, 1.00050385, 0.97894127, 1.00057183, 0.99997101,\n", - " 1.00067067, 1.00079924, 1.00079946, 1.00079946, 1.00079946,\n", - " 1.00074331, 1.00060624, 1.00058599, 0.99442458, 1.00078336,\n", - " 0.72372435, 0.69629545, 1.00079946, 1.00079946, 1.00079946,\n", - " 1.0007619 , 0.99932869, 1.0006461 , 0.99963556, 1.00079126,\n", - " 0.76431016, 0.99986736, 0.99993687, 0.999098 , 0.99970401,\n", - " 1.00079946]), array([0.35 , 0.42134686, 0.40516403, 0.79833547, 0.52448604,\n", - " 0.52466587, 1.0005124 , 0.93010201, 1.00058033, 0.99997101,\n", - " 1.00067652, 1.00079927, 1.00079946, 1.00079946, 1.00079946,\n", - " 1.00074531, 1.00060653, 1.00058678, 0.99442458, 1.00078392,\n", - " 0.72372435, 0.69629545, 1.00079946, 1.00079946, 1.00079946,\n", - " 1.00076431, 0.99932869, 1.00065184, 0.99963258, 1.00079164,\n", - " 0.80113134, 0.99986736, 0.99993639, 0.99909774, 0.9997017 ,\n", - " 1.00079946]), array([0.35 , 0.42134686, 0.40516403, 0.81467858, 0.52449062,\n", - " 0.52466587, 1.00052092, 0.79439095, 1.0005886 , 0.99997101,\n", - " 1.00068211, 1.0007993 , 1.00079946, 1.00079946, 1.00079946,\n", - " 1.00074724, 1.00060679, 1.00058755, 0.99442458, 1.00078446,\n", - " 0.72372435, 0.69629545, 1.00079946, 1.00079946, 1.00079946,\n", - " 1.00076655, 0.99932869, 1.00065742, 0.99962962, 1.00079201,\n", - " 0.83377121, 0.99986736, 0.99993591, 0.99909749, 0.9996994 ,\n", - " 1.00079946]), array([0.17 , 0.35 , 0.35004007, 0.73387688, 0.52436733,\n", - " 0.52445738, 0.99969569, 0.72520242, 1.0000958 , 0.99997101,\n", - " 1.00040545, 1.00063532, 1.0007363 , 1.00077192, 1.00078642,\n", - " 1.00074629, 0.99462445, 1.00046248, 0.99442458, 1.00078405,\n", - " 0.72372435, 0.69629545, 1.00079743, 1.00079272, 1.00079853,\n", - " 1.00076854, 0.99932869, 1.00066255, 0.99962682, 1.0007923 ,\n", - " 1.0157187 , 0.99986736, 0.99993546, 0.99909724, 0.99969724,\n", - " 1.00079946]), array([0.17 , 0.35 , 0.35004007, 0.64017434, 0.47904473,\n", - " 0.52445738, 0.88806161, 0.70253837, 0.99350355, 0.99997101,\n", - " 0.99784029, 1.00016254, 1.00051588, 1.00066028, 1.00072665,\n", - " 1.00072626, 0.99462445, 1.00034034, 0.98978327, 1.00077996,\n", - " 0.72372435, 0.69629545, 1.0007857 , 1.00075855, 1.00079266,\n", - " 1.00077038, 0.99932869, 1.00066753, 0.99962403, 1.00079232,\n", - " 1.0157187 , 0.99986736, 0.99993501, 0.999097 , 0.99969509,\n", - " 1.00079946]), array([0.17 , 0.35 , 0.35004007, 0.64017434, 0.3759744 ,\n", - " 0.52445738, 0.68993179, 0.69418092, 0.87640338, 0.99997101,\n", - " 0.99784029, 0.99976973, 1.00022923, 1.00047233, 1.00060616,\n", - " 1.00068306, 0.95187418, 1.00034034, 0.93632464, 1.0007698 ,\n", - " 0.72372435, 0.69629545, 1.00075373, 1.00067973, 1.00077485,\n", - " 1.00077201, 0.99932869, 1.00067236, 0.99962126, 1.00079154,\n", - " 1.02000215, 0.99986736, 0.99993457, 0.99909676, 0.99969295,\n", - " 1.00079944]), array([0.17 , 0.35 , 0.35004007, 0.64017434, 0.37289211,\n", - " 0.51122894, 0.57119136, 0.69418092, 0.68294494, 0.99997101,\n", - " 0.96027142, 0.99976973, 1.00005271, 1.00028936, 1.00045606,\n", - " 1.00062828, 0.85347484, 1.00034034, 0.86052798, 1.00075392,\n", - " 0.72372435, 0.69629545, 1.00069651, 1.00056405, 1.00073902,\n", - " 1.00077334, 0.99932869, 1.00067703, 0.9996185 , 1.00078918,\n", - " 1.03583651, 0.99986736, 0.99993413, 0.99909652, 0.99969082,\n", - " 1.00079938]), array([0.17 , 0.35 , 0.35004007, 0.64017434, 0.37289211,\n", - " 0.44842237, 0.52455205, 0.69418092, 0.56844703, 0.99997101,\n", - " 0.81655325, 0.99976973, 0.999944 , 1.00013877, 1.00030573,\n", - " 1.0005688 , 0.75288606, 1.00034034, 0.7755513 , 1.0007336 ,\n", - " 0.73009599, 0.69785592, 1.00061625, 1.00043045, 1.00068286,\n", - " 1.00077419, 0.99932869, 1.00068152, 0.99961576, 1.00078441,\n", - " 1.03583651, 0.99986736, 0.99993369, 0.99909627, 0.99968871,\n", - " 1.00079925]), array([0.17 , 0.18376692, 0.35004007, 0.60742357, 0.37289211,\n", - " 0.37364251, 0.52455205, 0.69418092, 0.52455205, 0.99997101,\n", - " 0.64752278, 0.99976973, 0.99987705, 1.00002465, 1.00017256,\n", - " 1.00050868, 0.70795723, 1.00034034, 0.71302975, 1.00071018,\n", - " 0.74221444, 0.71046986, 1.00051996, 1.00029707, 1.00060834,\n", - " 1.00077437, 0.99932869, 1.00068581, 0.99961302, 1.00077651,\n", - " 1.03583651, 0.99986736, 0.99993325, 0.99909603, 0.99968661,\n", - " 1.00079904]), array([0.17 , 0.17 , 0.36820294, 0.47196442, 0.37289211,\n", - " 0.37344017, 0.52455205, 0.69418092, 0.52455205, 0.99997101,\n", - " 0.55486727, 0.99976973, 0.99983582, 0.99994231, 1.00006347,\n", - " 1.0004502 , 0.70290465, 1.00034034, 0.69767093, 1.00068481,\n", - " 0.88532121, 0.81730821, 1.00041627, 1.00017625, 1.00052048,\n", - " 1.00077365, 0.99932869, 1.00068987, 0.9996103 , 1.00076502,\n", - " 1.03583651, 0.99986736, 0.99993282, 0.99909579, 0.99968452,\n", - " 1.00079872]), array([0.17 , 0.17 , 0.39148449, 0.4605653 , 0.23526362,\n", - " 0.37344017, 0.52455205, 0.69418092, 0.52455205, 0.99997101,\n", - " 0.52455205, 0.99629 , 0.99847364, 0.99930192, 0.99970265,\n", - " 1.00027841, 0.96637785, 1.00034034, 0.69507286, 1.00063913,\n", - " 0.88532121, 0.87393893, 1.00026997, 0.99993131, 1.00040589,\n", - " 1.00077174, 0.99932869, 1.00069365, 0.9996076 , 1.00074891,\n", - " 1.03583651, 0.99986736, 0.99993239, 0.99909555, 0.99968244,\n", - " 1.00079825]), array([0.17 , 0.17 , 0.35 , 0.36926417, 0.2147025 ,\n", - " 0.37344017, 0.52455205, 0.69418092, 0.52455205, 0.99997101,\n", - " 0.52455205, 0.94761011, 0.99847364, 0.99894076, 0.99934167,\n", - " 1.00012155, 1.00055192, 1.00034034, 0.69507286, 1.00058302,\n", - " 0.92725231, 0.87393893, 1.00007581, 0.99962635, 1.0002549 ,\n", - " 1.00076826, 0.99932869, 1.0006971 , 0.99960491, 1.00072674,\n", - " 1.03583651, 0.99986736, 0.99993196, 0.99909531, 0.99968038,\n", - " 1.00079759]), array([0.17 , 0.17 , 0.35 , 0.35004007, 0.20999538,\n", - " 0.33319014, 0.51321306, 0.69418092, 0.52388485, 0.99997101,\n", - " 0.52430408, 0.80166197, 0.97828297, 0.99894076, 0.99915172,\n", - " 1.00012155, 1.00050969, 1.00034034, 0.69507286, 1.00052876,\n", - " 1.00060287, 0.99808996, 0.99986617, 0.99938088, 1.00007708,\n", - " 1.00076281, 0.99932869, 1.00070013, 0.99960222, 1.00069759,\n", - " 1.03583651, 0.99986736, 0.99993154, 0.99909507, 0.99967832,\n", - " 1.0007967 ]), array([0.17 , 0.17 , 0.35 , 0.35004007, 0.20794925,\n", - " 0.22816151, 0.45777575, 0.69418092, 0.50995105, 0.99997101,\n", - " 0.52430408, 0.63936 , 0.8896749 , 0.98434379, 0.99915172,\n", - " 1.00012155, 1.00047176, 1.00034034, 0.69507286, 1.00052876,\n", - " 1.00060042, 1.00066545, 0.99968402, 0.99926236, 0.99989728,\n", - " 1.000755 , 0.99932869, 1.00070267, 0.99959956, 1.00066168,\n", - " 1.0353657 , 0.99986736, 0.99993112, 0.99909483, 0.99967628,\n", - " 1.00079556]), array([0.17 , 0.17 , 0.35 , 0.35004007, 0.20549626,\n", - " 0.20943009, 0.38464983, 0.69418092, 0.45347292, 0.99997101,\n", - " 0.51986369, 0.55210521, 0.73723498, 0.91567176, 0.98598201,\n", - " 1.00012155, 1.00043773, 1.00034034, 0.69507286, 1.00052876,\n", - " 1.00059801, 1.00066283, 0.99929044, 0.99837935, 0.99961969,\n", - " 1.00074418, 0.99932869, 1.00070459, 0.9995969 , 1.00061493,\n", - " 1.00214233, 0.99986736, 0.9999307 , 0.99909459, 0.99967425,\n", - " 1.00079408]), array([0.17 , 0.17 , 0.26267554, 0.35004007, 0.20532625,\n", - " 0.20811013, 0.37349075, 0.69418092, 0.38152379, 0.99997101,\n", - " 0.48296774, 0.52351519, 0.59011281, 0.75732337, 0.88904659,\n", - " 1.00012155, 1.00038613, 1.00057592, 0.69507286, 1.00052876,\n", - " 1.00059626, 1.00066092, 0.99929044, 0.94419035, 0.99942603,\n", - " 1.00073433, 0.99932869, 1.00070562, 0.99959495, 1.00057503,\n", - " 0.99375212, 0.99986736, 0.99993039, 0.99909442, 0.99967276,\n", - " 1.00079063]), array([0.17 , 0.17 , 0.17400719, 0.35614435, 0.20532625,\n", - " 0.20721473, 0.37349075, 0.68353303, 0.37349075, 0.99997101,\n", - " 0.39865646, 0.52351519, 0.52803011, 0.58516164, 0.7352897 ,\n", - " 1.00012155, 1.00034842, 1.00057592, 0.69507286, 1.00052876,\n", - " 1.00059453, 1.00065903, 0.96542361, 0.82275756, 0.98923086,\n", - " 1.00072505, 0.99932869, 1.00070629, 0.999593 , 1.00057503,\n", - " 0.99375212, 0.99986736, 0.99993009, 0.99909424, 0.99967127,\n", - " 1.00077268]), array([0.17 , 0.17 , 0.17 , 0.38148954, 0.21918128,\n", - " 0.20721473, 0.35102712, 0.67421134, 0.36719792, 0.99997101,\n", - " 0.37750727, 0.52351519, 0.52351519, 0.52567889, 0.60379816,\n", - " 1.00012155, 1.00031623, 1.00057592, 0.69507286, 1.00052876,\n", - " 1.00059283, 1.00065717, 0.86955265, 0.6785999 , 0.93667798,\n", - " 1.00071631, 0.99932869, 1.00070663, 0.99959106, 1.00057503,\n", - " 0.99375212, 0.99986736, 0.99992978, 0.99909407, 0.99966979,\n", - " 1.00066699]), array([0.17 , 0.17 , 0.17 , 0.35807707, 0.26897104,\n", - " 0.20721473, 0.25096564, 0.66426979, 0.32299645, 0.99997101,\n", - " 0.37006809, 0.50739245, 0.52351519, 0.52455211, 0.56270099,\n", - " 1.00012155, 1.00028874, 1.00057592, 0.69507286, 1.00052876,\n", - " 1.00059115, 1.00065534, 0.7341522 , 0.58607998, 0.82895464,\n", - " 1.00070808, 0.99932869, 1.00070668, 0.99958912, 1.00057503,\n", - " 0.98521981, 0.99986736, 0.99992948, 0.99909389, 0.99966832,\n", - " 1.00033934]), array([0.17 , 0.17 , 0.17 , 0.35 , 0.24077019,\n", - " 0.21787602, 0.20776205, 0.65893668, 0.23886283, 0.99997101,\n", - " 0.33530235, 0.44944334, 0.50993854, 0.52338666, 0.56182874,\n", - " 1.00012155, 1.00026527, 1.00057592, 0.69625692, 1.00052876,\n", - " 1.0005895 , 1.00065354, 0.62173327, 0.56214502, 0.70044489,\n", - " 1.00070034, 0.99932869, 1.00070646, 0.9995872 , 1.00057503,\n", - " 0.89581994, 0.99986736, 0.99992918, 0.99909372, 0.99966685,\n", - " 0.99968726]), array([0.17 , 0.17 , 0.17 , 0.35 , 0.23608198,\n", - " 0.26354017, 0.20776205, 0.60403471, 0.20776205, 0.99997101,\n", - " 0.26228602, 0.38876798, 0.45859463, 0.5058438 , 0.55744713,\n", - " 0.99540191, 0.99956771, 1.00057592, 0.77917209, 1.00052876,\n", - " 1.00058787, 1.00065176, 0.57044829, 0.55915058, 0.60635615,\n", - " 1.00069304, 0.99932869, 1.000706 , 0.99958527, 1.00057503,\n", - " 0.76320056, 0.99986736, 0.99992888, 0.99909354, 0.99966539,\n", - " 0.99873297]), array([0.17 , 0.17 , 0.17 , 0.28505454, 0.23608198,\n", - " 0.24106166, 0.20776205, 0.5874962 , 0.20776205, 0.99997101,\n", - " 0.21642065, 0.37378768, 0.39834979, 0.45379003, 0.53253238,\n", - " 0.93880714, 0.99956771, 1.00057592, 0.96719903, 1.00052876,\n", - " 1.00058627, 1.00065 , 0.5606478 , 0.5476747 , 0.56468385,\n", - " 1.00068616, 0.99932869, 1.00070531, 0.99958336, 1.00057503,\n", - " 0.70082825, 0.99986736, 0.99992858, 0.99909337, 0.99966393,\n", - " 0.99759837]), array([0.17 , 0.17 , 0.17 , 0.19417609, 0.23277972,\n", - " 0.23607994, 0.20776205, 0.56318869, 0.20776205, 0.99997101,\n", - " 0.20776205, 0.35848489, 0.37615336, 0.3965796 , 0.48335959,\n", - " 0.78679225, 0.99956771, 1.00057592, 1.00026797, 1.00052876,\n", - " 1.00058468, 1.00064827, 0.55267399, 0.51133257, 0.56108285,\n", - " 1.00067969, 0.99932869, 1.00070443, 0.99958145, 1.00057503,\n", - " 0.69539292, 0.99986736, 0.99992828, 0.99909319, 0.99966248,\n", - " 0.99640694]), array([0.17 , 0.17 , 0.17 , 0.17049356, 0.21230458,\n", - " 0.23607994, 0.21009152, 0.55993784, 0.2091165 , 0.99997101,\n", - " 0.20835652, 0.30626912, 0.3609015 , 0.37493701, 0.43921074,\n", - " 0.60419213, 0.99956771, 1.00057592, 1.00026797, 1.00052876,\n", - " 1.00058312, 1.00064657, 0.5253373 , 0.46432574, 0.54447745,\n", - " 1.00067359, 0.99932869, 1.00070336, 0.99957955, 1.00057503,\n", - " 0.69539292, 0.99986736, 0.99992798, 0.99909302, 0.99966104,\n", - " 0.99519749]), array([0.17 , 0.17 , 0.17 , 0.17042555, 0.20413417,\n", - " 0.23607994, 0.2283935 , 0.52638193, 0.21451665, 0.99997101,\n", - " 0.21106023, 0.24185352, 0.314515 , 0.35720212, 0.42021619,\n", - " 0.53124941, 0.99956771, 1.00057592, 1.00026797, 1.00052876,\n", - " 1.00058159, 1.00064489, 0.4824402 , 0.43102164, 0.51247518,\n", - " 1.00066785, 0.99932869, 1.00070214, 0.99957766, 1.00057503,\n", - " 0.69539292, 0.99986736, 0.99992769, 0.99909284, 0.99965961,\n", - " 0.99392664]), array([0.17 , 0.17 , 0.17 , 0.1703669 , 0.19603122,\n", - " 0.21125829, 0.25750232, 0.52638193, 0.23654788, 0.99997101,\n", - " 0.21106023, 0.21093471, 0.252026 , 0.30953143, 0.39669915,\n", - " 0.52502016, 0.99956771, 1.00057592, 1.00026797, 1.00052876,\n", - " 1.00058007, 1.00064323, 0.44385564, 0.41007731, 0.47087113,\n", - " 1.00066245, 0.99932869, 1.00070076, 0.99957577, 1.00057503,\n", - " 0.69539292, 0.99986736, 0.9999274 , 0.99909267, 0.99965818,\n", - " 0.99256265]), array([0.17 , 0.17 , 0.17 , 0.17031634, 0.19550876,\n", - " 0.20821937, 0.23732537, 0.52638193, 0.25185006, 0.99997101,\n", - " 0.229452 , 0.21093471, 0.21581739, 0.24913831, 0.34975084,\n", - " 0.52502016, 0.99016296, 1.00057592, 1.00026797, 1.00052876,\n", - " 1.00057858, 1.0006416 , 0.41814838, 0.37645838, 0.43614766,\n", - " 1.00065736, 0.99932869, 1.00069926, 0.99957389, 1.00057503,\n", - " 0.69539292, 0.99986736, 0.9999271 , 0.9990925 , 0.99965675,\n", - " 0.99110282]), array([0.13 , 0.17 , 0.17 , 0.17027538, 0.19277822,\n", - " 0.19633022, 0.23732537, 0.52638193, 0.23732537, 0.99997101,\n", - " 0.24718173, 0.21093471, 0.21093471, 0.21350997, 0.24913831,\n", - " 0.51148096, 0.95995702, 1.00033928, 1.00026797, 1.00052876,\n", - " 1.00057553, 1.00063827, 0.39812304, 0.34148459, 0.41814838,\n", - " 1.00064788, 0.99932869, 1.00069566, 0.99956997, 1.00057503,\n", - " 0.69567888, 0.99986736, 0.9999265 , 0.99909213, 0.99965378,\n", - " 0.99036725]), array([0.13 , 0.17 , 0.17 , 0.17023973, 0.19277822,\n", - " 0.1941698 , 0.23732537, 0.52638193, 0.23732537, 0.99997101,\n", - " 0.243148 , 0.21093471, 0.21093471, 0.21229297, 0.2131999 ,\n", - " 0.46737234, 0.88896046, 1.00033928, 1.00026797, 1.00052876,\n", - " 1.00057257, 1.00063503, 0.37645838, 0.24618564, 0.40219986,\n", - " 1.0006395 , 0.99932869, 1.00069173, 0.99956607, 1.00057503,\n", - " 0.69567888, 0.99986736, 0.9999259 , 0.99909177, 0.99965084,\n", - " 0.98961002]), array([0.13 , 0.17 , 0.17 , 0.17020869, 0.19358628,\n", - " 0.19398762, 0.23486484, 0.52638193, 0.23593846, 0.99997101,\n", - " 0.2367477 , 0.21093471, 0.21093471, 0.21165109, 0.21227884,\n", - " 0.41278727, 0.83068316, 1.00033928, 1.00026797, 1.00052876,\n", - " 1.0005697 , 1.0006319 , 0.35256 , 0.21271964, 0.38086894,\n", - " 1.00063208, 0.99932869, 1.00068755, 0.9995622 , 1.00057503,\n", - " 0.69567888, 0.99986736, 0.9999253 , 0.99909141, 0.99964793,\n", - " 0.98883369]), array([0.13 , 0.17 , 0.17 , 0.17018167, 0.19633982,\n", - " 0.194722 , 0.20973883, 0.52638193, 0.23002015, 0.99997101,\n", - " 0.23394558, 0.22943215, 0.21093471, 0.21131255, 0.21179768,\n", - " 0.38299728, 0.76714047, 1.00033928, 1.00026797, 1.00052876,\n", - " 1.00056692, 1.00062885, 0.27636466, 0.21223891, 0.3574253 ,\n", - " 1.00062551, 0.99932869, 1.00068321, 0.99955836, 1.00057503,\n", - " 0.69567888, 0.99986736, 0.99992471, 0.99909105, 0.99964504,\n", - " 0.98803131]), array([0.13 , 0.13244745, 0.17 , 0.17015815, 0.19292847,\n", - " 0.19416204, 0.20973883, 0.52638193, 0.20973883, 0.99997101,\n", - " 0.23394558, 0.23752164, 0.22513149, 0.21131255, 0.21155611,\n", - " 0.36665179, 0.72201198, 1.00033928, 1.00026797, 1.00052876,\n", - " 1.00056422, 1.0006259 , 0.22301748, 0.21188288, 0.29187675,\n", - " 1.0006197 , 0.99932869, 1.00067876, 0.99955455, 1.00057503,\n", - " 0.71279966, 0.99986736, 0.99992413, 0.99909069, 0.99964218,\n", - " 0.98720016]), array([0.13 , 0.13 , 0.17 , 0.17013767, 0.1810581 ,\n", - " 0.19416204, 0.19478161, 0.52638193, 0.2063601 , 0.99997101,\n", - " 0.21843065, 0.23899372, 0.23580446, 0.22352745, 0.21155611,\n", - " 0.33518991, 0.72201198, 1.00033928, 1.00026797, 1.00052876,\n", - " 1.0005616 , 1.00062303, 0.21210923, 0.2117125 , 0.23387806,\n", - " 1.00061456, 0.99932869, 1.00067427, 0.99955077, 1.00057503,\n", - " 0.75301223, 0.99986736, 0.99992355, 0.99909033, 0.99963935,\n", - " 0.98628542]), array([0.13 , 0.13 , 0.17 , 0.17011985, 0.1586149 ,\n", - " 0.19416204, 0.19451795, 0.52638193, 0.194633 , 0.99997101,\n", - " 0.20804947, 0.23899372, 0.23715002, 0.23516028, 0.22342886,\n", - " 0.28417017, 0.72201198, 1.00033928, 1.00026797, 1.00052876,\n", - " 1.00055905, 1.00062024, 0.21227984, 0.2126751 , 0.2143979 ,\n", - " 1.00061001, 0.99932869, 1.00066977, 0.99954702, 1.00057503,\n", - " 0.8466859 , 0.99986736, 0.99992298, 0.99908997, 0.99963654,\n", - " 0.98529671]), array([0.13 , 0.13 , 0.17 , 0.17010433, 0.1534361 ,\n", - " 0.18371803, 0.19451795, 0.52638193, 0.19456815, 0.99997101,\n", - " 0.19999194, 0.23899372, 0.23792788, 0.23716277, 0.23605748,\n", - " 0.23532362, 0.72201198, 1.00033928, 1.00026797, 1.00052876,\n", - " 1.00055659, 1.00061754, 0.21227984, 0.22446642, 0.21223325,\n", - " 1.00060599, 0.99932869, 1.0006653 , 0.99954329, 1.00057503,\n", - " 0.8852476 , 0.99986736, 0.99992242, 0.99908961, 0.99963375,\n", - " 0.98428314]), array([0.13 , 0.13 , 0.17 , 0.17009082, 0.14490607,\n", - " 0.16110679, 0.19451795, 0.52638193, 0.19453986, 0.99997101,\n", - " 0.19457529, 0.23899372, 0.23837756, 0.23773685, 0.23694596,\n", - " 0.21196418, 0.71477445, 1.00033928, 1.00026797, 1.00052876,\n", - " 1.00055419, 1.00061492, 0.21227984, 0.23652075, 0.21225439,\n", - " 0.99953897, 0.99932869, 1.00058643, 0.99953959, 0.99133526,\n", - " 0.90431675, 0.99986736, 0.99992186, 0.99908926, 0.99963099,\n", - " 0.98327128]), array([0.13 , 0.13 , 0.16984551, 0.17005906, 0.13742382,\n", - " 0.1560255 , 0.19451795, 0.52638193, 0.19452751, 0.99997101,\n", - " 0.19455539, 0.22160307, 0.23837756, 0.23803963, 0.23749055,\n", - " 0.21196418, 0.69238386, 1.00033928, 1.00026797, 1.00052876,\n", - " 1.00055187, 1.00061238, 0.2206072 , 0.23702642, 0.21604495,\n", - " 0.99953897, 0.99932869, 1.00051307, 0.99953592, 0.85967247,\n", - " 0.90431675, 0.99986736, 0.9999213 , 0.9990889 , 0.99962826,\n", - " 0.9822642 ]), array([0.13 , 0.13 , 0.1303496 , 0.17005906, 0.13514826,\n", - " 0.14258299, 0.19451795, 0.52638193, 0.19452212, 0.99997101,\n", - " 0.19454153, 0.20144184, 0.2278132 , 0.23803963, 0.23776397,\n", - " 0.21196418, 0.66158488, 1.00033928, 1.00026797, 1.00052876,\n", - " 1.00054962, 1.00060991, 0.23302137, 0.23741099, 0.21604495,\n", - " 0.99953897, 0.99932869, 1.00044486, 0.99953227, 0.63395734,\n", - " 0.90431675, 0.99986736, 0.99992075, 0.99908855, 0.99962555,\n", - " 0.98126081]), array([0.13 , 0.13 , 0.13029963, 0.17005906, 0.13510914,\n", - " 0.13789486, 0.19451795, 0.52638193, 0.19451977, 0.99997101,\n", - " 0.19453247, 0.19760348, 0.20769711, 0.22900024, 0.23340007,\n", - " 0.21196418, 0.64097163, 1.00033928, 1.00026797, 0.99790206,\n", - " 1.00047636, 1.00052995, 0.23648361, 0.23531962, 0.23094395,\n", - " 0.99953897, 0.99932869, 1.00038142, 0.99952866, 0.55907271,\n", - " 0.91716401, 0.99986736, 0.99992021, 0.9990882 , 0.99962286,\n", - " 0.98026005]), array([0.13 , 0.13 , 0.13025807, 0.17005906, 0.13574165,\n", - " 0.13720044, 0.18282381, 0.52638193, 0.19118863, 0.99997101,\n", - " 0.19305815, 0.19660632, 0.19816078, 0.20481515, 0.22635263,\n", - " 0.21708258, 0.38427238, 1.00049704, 1.00026797, 0.98434379,\n", - " 1.00047636, 1.00052995, 0.23350686, 0.22953213, 0.23400832,\n", - " 0.99953897, 0.99932869, 1.0003552 , 0.99952712, 0.53261784,\n", - " 1.00026797, 0.99986736, 0.99991998, 0.99908805, 0.99962172,\n", - " 0.9781797 ]), array([0.13 , 0.13 , 0.13022227, 0.17005906, 0.13572569,\n", - " 0.13672482, 0.15856615, 0.52638193, 0.17591494, 0.99997101,\n", - " 0.19305815, 0.19582791, 0.19707138, 0.19961489, 0.20479035,\n", - " 0.22999025, 0.33589575, 1.00049704, 1.00026797, 0.92444387,\n", - " 1.00047636, 1.00052995, 0.23350686, 0.21838289, 0.23370874,\n", - " 0.99953897, 0.99932869, 1.0003298 , 0.99952558, 0.50183151,\n", - " 1.00026797, 0.99986736, 0.99991975, 0.9990879 , 0.99962059,\n", - " 0.97611239]), array([0.13 , 0.13 , 0.13019143, 0.17005906, 0.13571536,\n", - " 0.13639927, 0.15557491, 0.52638193, 0.15682218, 0.99997101,\n", - " 0.18051031, 0.19582791, 0.1964907 , 0.19797405, 0.20261959,\n", - " 0.23590845, 0.27485376, 1.00049704, 1.00026797, 0.85802279,\n", - " 1.00047636, 1.00052995, 0.22345333, 0.20338929, 0.23036401,\n", - " 0.99953897, 0.99932869, 1.00030519, 0.99952405, 0.46597241,\n", - " 1.00026797, 0.99986736, 0.99991952, 0.99908775, 0.99961945,\n", - " 0.97405065]), array([0.13 , 0.13 , 0.13016488, 0.17005906, 0.13570854,\n", - " 0.1361765 , 0.13777831, 0.52638193, 0.15139826, 0.99997101,\n", - " 0.15995514, 0.19582791, 0.19618119, 0.19703244, 0.19974896,\n", - " 0.23590845, 0.24415348, 1.00049704, 1.00026797, 0.71440172,\n", - " 1.00047636, 1.00052995, 0.2076351 , 0.20103974, 0.21829432,\n", - " 0.99953897, 0.99932869, 1.00028134, 0.99952253, 0.43567384,\n", - " 1.00026797, 0.99986736, 0.9999193 , 0.9990876 , 0.99961833,\n", - " 0.97198124]), array([0.13 , 0.13 , 0.13014201, 0.14486774, 0.13570513,\n", - " 0.13602448, 0.1374732 , 0.52638193, 0.13760042, 0.99997101,\n", - " 0.15411022, 0.19582791, 0.19601622, 0.19649871, 0.19846176,\n", - " 0.23590845, 0.24415348, 1.00049704, 1.00026797, 0.57700453,\n", - " 1.00047636, 1.00052995, 0.20099895, 0.19937586, 0.20367052,\n", - " 0.99953897, 0.99932869, 1.00025824, 0.99952101, 0.41814838,\n", - " 1.00026797, 0.99986736, 0.99991907, 0.99908745, 0.9996172 ,\n", - " 0.96988499]), array([0.13 , 0.13 , 0.13012231, 0.13021553, 0.13570302,\n", - " 0.13592081, 0.13720313, 0.52638193, 0.13736879, 0.99997101,\n", - " 0.14194123, 0.1890614 , 0.19276845, 0.19453957, 0.19706674,\n", - " 0.23590845, 0.24415348, 1.00049704, 1.00026797, 0.52453922,\n", - " 1.00047636, 1.00052995, 0.19966572, 0.1978855 , 0.20127796,\n", - " 0.99953897, 0.99932869, 1.00023585, 0.9995195 , 0.41814838,\n", - " 1.00026797, 0.99986736, 0.99991884, 0.9990873 , 0.99961608,\n", - " 0.96777683]), array([0.13 , 0.13 , 0.13010534, 0.13020026, 0.13570171,\n", - " 0.13585015, 0.13696776, 0.52638193, 0.13713498, 0.99997101,\n", - " 0.13733045, 0.17013913, 0.19276845, 0.19360937, 0.20525298,\n", - " 0.23590845, 0.24914858, 1.00049704, 1.00026797, 0.52453922,\n", - " 1.00047636, 1.00052995, 0.20093963, 0.20264063, 0.20107583,\n", - " 0.99953897, 0.99932869, 1.00021417, 0.99951799, 0.4072705 ,\n", - " 1.00026797, 0.99986736, 0.99991862, 0.99908715, 0.99961497,\n", - " 0.9656784 ]), array([0.13 , 0.13 , 0.13009073, 0.13018509, 0.1357009 ,\n", - " 0.13580202, 0.13676495, 0.52638193, 0.13691924, 0.99997101,\n", - " 0.13714915, 0.15703268, 0.17333923, 0.19166394, 0.26293264,\n", - " 0.20391389, 0.26420626, 1.00049704, 1.00026797, 0.52453922,\n", - " 1.00047636, 1.00052995, 0.20093963, 0.22980966, 0.20099446,\n", - " 0.99953897, 0.99932869, 1.00019315, 0.99951648, 0.40219986,\n", - " 1.00026797, 0.99986736, 0.9999184 , 0.999087 , 0.99961386,\n", - " 0.9635907 ]), array([0.13 , 0.13 , 0.13007814, 0.13017027, 0.1357004 ,\n", - " 0.13576925, 0.13659173, 0.52638193, 0.1367283 , 0.99997101,\n", - " 0.13696359, 0.14877793, 0.15534241, 0.17161198, 0.25751144,\n", - " 0.19706169, 0.2648524 , 1.00049704, 0.99991346, 0.50976435,\n", - " 1.00047636, 1.00052995, 0.22013074, 0.25943368, 0.20723562,\n", - " 0.99953897, 0.99932869, 1.00017279, 0.99951648, 0.39499428,\n", - " 1.00023497, 0.99986736, 0.99991817, 1.01153425, 0.99961275,\n", - " 0.96152569]), array([0.13 , 0.13 , 0.1300673 , 0.130156 , 0.1357001 ,\n", - " 0.13574694, 0.13644477, 0.52638193, 0.13656299, 0.99997101,\n", - " 0.13678696, 0.13800406, 0.15290531, 0.15406244, 0.23906939,\n", - " 0.19706169, 0.26569288, 1.00049704, 0.93627272, 0.47067941,\n", - " 1.00047636, 1.00052995, 0.24645193, 0.25025704, 0.22871521,\n", - " 0.99953897, 0.99932869, 1.00015307, 0.99951648, 0.38086894,\n", - " 1.00023497, 0.99986736, 0.99991795, 1.01274751, 0.99961165,\n", - " 0.95950548]), array([0.13 , 0.13 , 0.13005797, 0.13014242, 0.13569991,\n", - " 0.13573177, 0.13632073, 0.52638193, 0.13642175, 0.99997101,\n", - " 0.13662594, 0.13770172, 0.13998151, 0.15271102, 0.22680877,\n", - " 0.19706169, 0.26569288, 1.00049704, 0.78175683, 0.42170724,\n", - " 1.00047636, 1.00052995, 0.25484536, 0.23354446, 0.25146636,\n", - " 0.99827648, 0.99932869, 1.00009467, 0.99951648, 0.38086894,\n", - " 1.00023497, 0.99986736, 0.99991773, 1.01274736, 0.99961055,\n", - " 0.95755872]), array([0.13 , 0.13 , 0.13004993, 0.1301296 , 0.13569979,\n", - " 0.13572146, 0.13621648, 0.52638193, 0.13630207, 0.99997101,\n", - " 0.13648314, 0.13743439, 0.13765746, 0.13876091, 0.22310073,\n", - " 0.19706169, 0.26569288, 1.00049704, 0.60122547, 0.38692632,\n", - " 1.00047636, 1.00052995, 0.23765157, 0.22441552, 0.24696076,\n", - " 0.85967247, 0.99932869, 1.00009467, 0.99951648, 0.35757682,\n", - " 1.00023497, 0.99986736, 0.99991751, 1.01274721, 0.99960946,\n", - " 0.95564323]), array([0.13 , 0.13 , 0.13004308, 0.13011733, 0.13592452,\n", - " 0.1357877 , 0.1361407 , 0.52638193, 0.13620691, 0.99997101,\n", - " 0.13635902, 0.13718891, 0.13743173, 0.13803798, 0.23507078,\n", - " 0.19706169, 0.32707679, 1.00049704, 0.52709658, 0.37493701,\n", - " 1.00047636, 1.00052995, 0.22943762, 0.22996668, 0.23245419,\n", - " 0.85967247, 0.99932869, 1.00009467, 0.99951648, 0.3574253 ,\n", - " 1.00023497, 0.99986736, 0.9999174 , 1.01274714, 0.99960891,\n", - " 0.95333742]), array([0.13 , 0.13 , 0.13003718, 0.13010597, 0.13592448,\n", - " 0.13583232, 0.1360862 , 0.52638193, 0.13613573, 0.99997101,\n", - " 0.13625869, 0.13697657, 0.13721245, 0.13758898, 0.23467566,\n", - " 0.19706169, 0.31249231, 1.00049704, 0.52709658, 0.3628041 ,\n", - " 1.00047636, 1.00052995, 0.2319264 , 0.23480363, 0.23212023,\n", - " 0.85967247, 0.99932869, 1.00009467, 0.99951648, 0.3574253 ,\n", - " 1.00023497, 0.99986736, 0.99991729, 1.01274706, 0.99960835,\n", - " 0.95102541]), array([0.13 , 0.13 , 0.13003208, 0.13009549, 0.13592445,\n", - " 0.13586237, 0.13604664, 0.52638193, 0.13608319, 0.99997101,\n", - " 0.13617983, 0.1367947 , 0.13701119, 0.13727473, 0.23435106,\n", - " 0.19706169, 0.31405444, 1.00049704, 0.52477947, 0.35720212,\n", - " 1.00047636, 1.00052995, 0.23311895, 0.23449764, 0.23275217,\n", - " 0.77557097, 0.99932869, 1.00009467, 0.99951648, 0.33499974,\n", - " 1.00023497, 0.99986736, 0.99991718, 1.01274699, 0.9996078 ,\n", - " 0.9487294 ]), array([0.13 , 0.13 , 0.13002768, 0.13008588, 0.13592443,\n", - " 0.13588262, 0.13601765, 0.52638193, 0.13604454, 0.99997101,\n", - " 0.13611904, 0.13664047, 0.13683259, 0.13703425, 0.1831303 ,\n", - " 0.17779423, 0.31877173, 0.98987219, 0.49504372, 0.33381592,\n", - " 1.00047636, 1.00052995, 0.23311895, 0.20773637, 0.23298425,\n", - " 0.63395734, 0.99932869, 1.00009467, 0.99951648, 0.29187675,\n", - " 1.00023497, 0.99986736, 0.99991707, 1.01274691, 0.99960725,\n", - " 0.94644889]), array([0.13 , 0.13 , 0.13002389, 0.13007709, 0.13228543,\n", - " 0.13470923, 0.13578641, 0.52638193, 0.13589232, 0.99997101,\n", - " 0.13601717, 0.13649819, 0.13667149, 0.13683695, 0.15669405,\n", - " 0.15818615, 0.32067539, 0.93405295, 0.43478923, 0.30953143,\n", - " 1.00047636, 1.00052995, 0.21169809, 0.16935759, 0.22405259,\n", - " 0.63395734, 0.99932869, 1.00009467, 0.99951648, 0.29187675,\n", - " 1.00023497, 0.99986736, 0.99991696, 1.01274684, 0.9996067 ,\n", - " 0.9441628 ]), array([0.13 , 0.13 , 0.13002061, 0.13006909, 0.13001971,\n", - " 0.13317952, 0.13532569, 0.52638193, 0.13555818, 0.99997101,\n", - " 0.13581094, 0.13634131, 0.13651242, 0.13666044, 0.14994784,\n", - " 0.15412386, 0.32067539, 0.93870666, 0.38758082, 0.29159288,\n", - " 1.00047636, 1.00052995, 0.17534776, 0.15213278, 0.19644551,\n", - " 0.63395734, 0.99932869, 1.00009467, 0.99951648, 0.29187675,\n", - " 1.00023497, 0.99986736, 0.99991685, 1.01274676, 0.99960615,\n", - " 0.94183355]), array([0.13 , 0.13 , 0.13001779, 0.13006181, 0.13001887,\n", - " 0.13214853, 0.13476418, 0.52638193, 0.13508997, 0.99997101,\n", - " 0.13548699, 0.1361463 , 0.13633603, 0.136484 , 0.14881419,\n", - " 0.14165271, 0.32067539, 0.99169227, 0.35816549, 0.24913831,\n", - " 1.00047636, 1.00052995, 0.15387445, 0.14988901, 0.16633757,\n", - " 0.63395734, 0.99932869, 1.00009467, 0.99951648, 0.29187675,\n", - " 0.94951192, 0.99986736, 0.99991674, 1.01274669, 0.9996056 ,\n", - " 0.939424 ]), array([0.13 , 0.13 , 0.13001535, 0.13005523, 0.13001802,\n", - " 0.13145356, 0.13417908, 0.52638193, 0.13455283, 0.99997101,\n", - " 0.13506724, 0.13589998, 0.13612596, 0.13628926, 0.14865746,\n", - " 0.13717568, 0.32067539, 0.98698167, 0.30998603, 0.24529684,\n", - " 1.00047636, 1.00052995, 0.15010436, 0.14905633, 0.15148892,\n", - " 0.57706772, 0.99932869, 1.00009467, 0.99951648, 0.24958305,\n", - " 0.80148885, 0.99986736, 0.99991663, 1.01274661, 0.99960506,\n", - " 0.93696393]), array([0.13 , 0.13 , 0.13001324, 0.13004927, 0.13001717,\n", - " 0.13098501, 0.13361459, 0.52638193, 0.13399956, 0.99997101,\n", - " 0.1345875 , 0.13560038, 0.13587275, 0.13606273, 0.15068085,\n", - " 0.13703567, 0.31229108, 0.84313137, 0.24908504, 0.21201582,\n", - " 1.00047636, 1.00052995, 0.15012771, 0.15015471, 0.15062761,\n", - " 0.55907271, 0.99932869, 1.00009467, 0.99951648, 0.23387806,\n", - " 0.60765514, 0.99986736, 0.99991652, 1.01274654, 0.99960451,\n", - " 0.93449893]), array([0.13 , 0.13 , 0.13001143, 0.13004391, 0.13001632,\n", - " 0.13066903, 0.13309401, 0.52638193, 0.13346557, 0.99997101,\n", - " 0.13408339, 0.1352541 , 0.13557471, 0.1357973 , 0.15046364,\n", - " 0.13687867, 0.29627912, 1.00024772, 0.2144586 , 0.21201582,\n", - " 1.00047636, 1.00052995, 0.15023711, 0.15036358, 0.15038052,\n", - " 0.55907271, 0.99932869, 1.00009467, 0.99951648, 0.23387806,\n", - " 0.52632421, 0.99986736, 0.99991641, 1.01274646, 0.99960396,\n", - " 0.93204824]), array([0.13 , 0.13 , 0.13000986, 0.13003908, 0.13001548,\n", - " 0.13045584, 0.13262776, 0.52638193, 0.13297152, 0.99997101,\n", - " 0.13358379, 0.13487282, 0.13523656, 0.13549232, 0.15021391,\n", - " 0.13670221, 0.28876127, 1.00024772, 0.21318665, 0.21201582,\n", - " 1.00047636, 1.00052995, 0.15024883, 0.15026239, 0.1502972 ,\n", - " 0.55907271, 0.99932869, 1.00009467, 0.99951648, 0.23387806,\n", - " 0.52632421, 0.99986736, 0.9999163 , 1.01274639, 0.99960342,\n", - " 0.92961233]), array([0.13 , 0.13 , 0.13000851, 0.13003475, 0.13001466,\n", - " 0.13031193, 0.13221848, 0.52638193, 0.13252746, 0.99997101,\n", - " 0.13310915, 0.13447023, 0.13486737, 0.13515241, 0.15430219,\n", - " 0.13650504, 0.2810364 , 1.00024772, 0.21318665, 0.21201582,\n", - " 1.00047636, 1.00052995, 0.15152196, 0.15299379, 0.15107216,\n", - " 0.55518931, 0.99932869, 1.00009467, 0.99951648, 0.23158864,\n", - " 0.52535882, 0.99986736, 0.99991619, 1.01274631, 0.99960288,\n", - " 0.92719314]), array([0.15 , 0.13 , 0.13000828, 0.13003441, 0.13000228,\n", - " 0.13029639, 0.13217662, 0.52638193, 0.13248976, 0.99997101,\n", - " 0.13307658, 0.13445876, 0.13510695, 0.13535739, 0.15260299,\n", - " 0.13645242, 0.25492603, 1.00024772, 0.21318665, 0.21201582,\n", - " 1.00047636, 1.00052995, 0.15102259, 0.1514553 , 0.15087043,\n", - " 0.52411189, 0.99932869, 1.00009467, 0.99951648, 0.21419509,\n", - " 0.51732631, 0.99986736, 0.99991592, 1.01274612, 0.99960152,\n", - " 0.92719314]), array([0.15 , 0.13 , 0.13000805, 0.13003407, 0.13000228,\n", - " 0.13028163, 0.13213536, 0.52638193, 0.13245169, 0.99997101,\n", - " 0.13304371, 0.13444711, 0.13511459, 0.13535739, 0.15229678,\n", - " 0.13640208, 0.25492085, 1.00024772, 0.21318665, 0.21201582,\n", - " 1.00047636, 1.00052995, 0.15102259, 0.15139754, 0.46753258,\n", - " 0.48410856, 0.99932869, 1.00009467, 0.99951648, 0.21419509,\n", - " 0.51732631, 0.99986736, 0.99991565, 1.01274594, 0.99960017,\n", - " 0.92719314]), array([0.15 , 0.13 , 0.13000783, 0.13003374, 0.13000228,\n", - " 0.1302676 , 0.13209469, 0.52638193, 0.13241333, 0.99997101,\n", - " 0.13301056, 0.13443528, 0.13512178, 0.13535739, 0.15205565,\n", - " 0.13635389, 0.26367635, 0.88789304, 0.21318665, 0.21201582,\n", - " 1.00047636, 1.00052995, 0.15102259, 0.15134749, 0.92719314,\n", - " 0.44439416, 0.99932869, 1.00009467, 0.99951648, 0.21419509,\n", - " 0.51732631, 0.99986736, 0.99991538, 1.01274575, 0.99959882,\n", - " 0.92719314]), array([0.15 , 0.13 , 0.13000762, 0.13003341, 0.13000227,\n", - " 0.13025428, 0.13205462, 0.52638193, 0.13237479, 0.99997101,\n", - " 0.13297712, 0.13442328, 0.13512854, 0.13535739, 0.15186475,\n", - " 0.13630778, 0.26430317, 0.98933697, 0.21318665, 0.21201582,\n", - " 1.00047636, 1.00052995, 0.15102259, 0.15130412, 0.92719314,\n", - " 0.41937278, 0.99932869, 1.00009467, 0.99951648, 0.21419509,\n", - " 0.51732631, 0.99986736, 0.99991511, 1.01274556, 0.99959749,\n", - " 0.92719314]), array([0.15 , 0.13 , 0.13000741, 0.13003308, 0.13000227,\n", - " 0.13024163, 0.13201514, 0.52638193, 0.13233614, 0.99997101,\n", - " 0.13294341, 0.1344111 , 0.1351349 , 0.13535739, 0.15172234,\n", - " 0.13626364, 0.26429778, 0.94750631, 0.2226267 , 0.21201582,\n", - " 1.00047636, 1.00052995, 0.44557977, 0.15130412, 0.92719314,\n", - " 0.4120502 , 0.99932869, 1.00009467, 0.99951648, 0.21419509,\n", - " 0.51732631, 0.99986736, 0.99991485, 1.01274537, 0.99959615,\n", - " 0.92719314]), array([0.15 , 0.13 , 0.13000721, 0.13003275, 0.13000227,\n", - " 0.13022962, 0.13197626, 0.52638193, 0.13229748, 0.99997101,\n", - " 0.13290944, 0.13439873, 0.1355607 , 0.14516958, 0.1516161 ,\n", - " 0.13623718, 0.2642924 , 0.95705613, 0.23492208, 0.21201582,\n", - " 1.00047636, 1.00052995, 0.89531155, 0.15130412, 0.92719314,\n", - " 0.40148821, 0.99932869, 1.00009467, 0.99951648, 0.21419509,\n", - " 0.51732631, 0.99986736, 0.99991458, 1.01274519, 0.99959483,\n", - " 0.92719314]), array([0.15 , 0.13 , 0.13000701, 0.13003242, 0.13000227,\n", - " 0.13021821, 0.13193798, 0.52638193, 0.13225885, 0.99997101,\n", - " 0.13287523, 0.13438619, 0.13555996, 0.15195007, 0.15153685,\n", - " 0.13621169, 0.28061889, 0.99707525, 0.23492208, 0.21201582,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.15130412, 0.92719314,\n", - " 0.40107831, 0.99932869, 1.00009467, 0.99951648, 0.21419509,\n", - " 0.51732631, 0.99986736, 0.99991432, 1.01552855, 0.99959351,\n", - " 0.92719314]), array([0.15 , 0.13 , 0.13000682, 0.13003209, 0.13000226,\n", - " 0.13020737, 0.1319003 , 0.52638193, 0.13222033, 0.99997101,\n", - " 0.13284078, 0.13437347, 0.13555921, 0.1518764 , 0.15147774,\n", - " 0.13618714, 0.28474516, 1.00039 , 0.23492208, 0.21735957,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.15130412, 0.92719314,\n", - " 0.38086894, 0.99932869, 1.00009467, 0.99951648, 0.21419509,\n", - " 0.54013957, 0.99986736, 0.99991406, 1.02509377, 0.9995922 ,\n", - " 0.92719314]), array([0.15 , 0.13 , 0.13000664, 0.13003177, 0.13000226,\n", - " 0.13019707, 0.13186321, 0.52638193, 0.13218195, 0.99997101,\n", - " 0.13280613, 0.13436057, 0.13555845, 0.15180734, 0.15143363,\n", - " 0.13616348, 0.28473985, 1.00039 , 0.23492208, 0.22352745,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.15130412, 0.92719314,\n", - " 0.37021812, 0.99932869, 1.00009467, 0.99951648, 0.21419509,\n", - " 0.55920986, 0.99986736, 0.9999138 , 1.02509359, 0.99959089,\n", - " 0.92719314]), array([0.15 , 0.13 , 0.13000646, 0.13003144, 0.13000226,\n", - " 0.13018729, 0.13182672, 0.52638193, 0.13214379, 0.99997101,\n", - " 0.1327713 , 0.13434748, 0.13555767, 0.15174392, 0.15140074,\n", - " 0.13614068, 0.28473456, 1.00039 , 0.23492208, 0.23130553,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.15130412, 0.92719314,\n", - " 0.35750045, 0.99932869, 1.00009467, 0.99951648, 0.22979066,\n", - " 0.56018659, 0.99986736, 0.99991354, 1.0250934 , 0.99958959,\n", - " 0.92719314]), array([0.15 , 0.13 , 0.13000628, 0.13003112, 0.13000226,\n", - " 0.130178 , 0.13179082, 0.52638193, 0.13210586, 0.99997101,\n", - " 0.1327363 , 0.13433422, 0.13555688, 0.15169039, 0.15140074,\n", - " 0.13611871, 0.2847293 , 1.00039 , 0.23492208, 0.23585657,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.300969 , 0.92719314,\n", - " 0.31696542, 0.99932869, 1.00009467, 0.99951648, 0.23192617,\n", - " 0.6987221 , 0.99986736, 0.99991328, 1.02509322, 0.9995883 ,\n", - " 0.92719314]), array([0.15 , 0.13 , 0.13000611, 0.1300308 , 0.13000225,\n", - " 0.13016918, 0.13175551, 0.52638193, 0.13206822, 0.99654321,\n", - " 0.13270117, 0.13432078, 0.13555608, 0.15164521, 0.15140074,\n", - " 0.13609753, 0.28472407, 1.00039 , 0.23492208, 0.23585657,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.67430768, 0.92719314,\n", - " 0.29187675, 0.99932869, 1.00009467, 0.99951648, 0.23192617,\n", - " 0.6987221 , 0.99986736, 0.99991303, 1.02509303, 0.99958702,\n", - " 0.92719314]), array([0.15 , 0.13000109, 0.13001855, 0.13009857, 0.13018486,\n", - " 0.13175722, 0.13209966, 0.54694769, 0.13275435, 0.98445394,\n", - " 0.13433071, 0.13487692, 0.13572627, 0.15247347, 0.1562746 ,\n", - " 0.13609238, 0.3121705 , 1.00039 , 0.23492208, 0.23585657,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.910334 , 0.92719314,\n", - " 0.25924132, 0.99932869, 1.00009467, 0.99951648, 0.23192617,\n", - " 0.74178813, 0.99986736, 0.9999129 , 1.02509294, 0.99958641,\n", - " 0.92719314]), array([0.15 , 0.13000226, 0.13001869, 0.13009904, 0.1302004 ,\n", - " 0.13175909, 0.13213203, 0.55650834, 0.13280614, 0.98445394,\n", - " 0.13434141, 0.13492951, 0.13572627, 0.15247347, 0.300969 ,\n", - " 0.13608729, 0.31217043, 1.00039 , 0.23492208, 0.23585657,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.23438326, 0.99932869, 1.00009467, 0.99951648, 0.23192617,\n", - " 0.85212145, 0.99986736, 0.99991278, 1.02509286, 0.9995858 ,\n", - " 0.92719314]), array([0.15 , 0.13000351, 0.13001882, 0.13009959, 0.13021581,\n", - " 0.13176112, 0.13216523, 0.55650834, 0.13285662, 0.98445394,\n", - " 0.1343528 , 0.13497885, 0.13572627, 0.15247347, 0.67425549,\n", - " 0.13608228, 0.31217036, 1.00039 , 0.23492208, 0.23585657,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.23330571, 0.99932869, 1.00009467, 0.99951648, 0.22838713,\n", - " 0.85212145, 0.99986736, 0.99991266, 1.02509277, 0.99958519,\n", - " 0.92719314]), array([0.15 , 0.13000485, 0.13001896, 0.13010021, 0.13023109,\n", - " 0.1317633 , 0.13219916, 0.55650834, 0.13290584, 0.98445394,\n", - " 0.13436482, 0.13502513, 0.13572627, 0.15247347, 0.9025768 ,\n", - " 0.13607733, 0.31217029, 1.00039 , 0.23492208, 0.23585657,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.23330571, 0.99932869, 1.00009467, 0.99951648, 0.21829432,\n", - " 0.85212145, 0.99986736, 0.99991254, 1.02509268, 0.99958459,\n", - " 0.92719314]), array([0.15 , 0.13000627, 0.1300191 , 0.1301009 , 0.13024624,\n", - " 0.13176565, 0.13223374, 0.55650834, 0.13295387, 0.98445394,\n", - " 0.13437739, 0.13506855, 0.13572627, 0.15247347, 0.92663905,\n", - " 0.13607246, 0.31217022, 1.00039 , 0.23492208, 0.23585657,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.22217475, 0.99932869, 1.00009467, 0.99951648, 0.20885889,\n", - " 0.85212145, 0.99986736, 0.99991242, 1.02509259, 0.99958399,\n", - " 0.92719314]), array([0.15 , 0.13000777, 0.13001925, 0.13010165, 0.13026127,\n", - " 0.13176816, 0.13226889, 0.55650834, 0.13300073, 0.98445394,\n", - " 0.13438974, 0.13506855, 0.14611836, 0.21346044, 0.92719314,\n", - " 0.13607246, 0.31217015, 1.00039 , 0.23492208, 0.23585657,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.21419509, 0.99932869, 1.00009467, 0.99951648, 0.20285088,\n", - " 0.86879984, 0.99986736, 0.9999123 , 1.02509251, 0.99958339,\n", - " 0.92719314]), array([0.15 , 0.13000934, 0.1300194 , 0.13010247, 0.13027617,\n", - " 0.13177084, 0.13230451, 0.55650834, 0.13304646, 0.98445394,\n", - " 0.13440187, 0.13506855, 0.15223284, 0.45427738, 0.92719314,\n", - " 0.13607246, 0.31217008, 1.00039 , 0.23492208, 0.23585657,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.21419509, 0.99932869, 1.00009467, 0.99951648, 0.20285088,\n", - " 0.89325755, 0.99986736, 0.99991218, 1.02509242, 0.99958279,\n", - " 0.92719314]), array([0.15 , 0.130011 , 0.13001955, 0.13010335, 0.13029095,\n", - " 0.13177368, 0.13234055, 0.57162761, 0.13309108, 0.98445394,\n", - " 0.13441378, 0.13506855, 0.15223284, 0.76802682, 0.92719314,\n", - " 0.13607246, 0.31217001, 1.00039 , 0.23492208, 0.23585657,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.21419509, 0.99932869, 1.00009467, 0.99951648, 0.20285088,\n", - " 0.89325755, 0.99986736, 0.99991207, 1.02509233, 0.99958219,\n", - " 0.92719314]), array([0.15 , 0.13001273, 0.13001971, 0.1301043 , 0.13030562,\n", - " 0.13177669, 0.13237694, 0.59091678, 0.13313463, 0.98445394,\n", - " 0.13442548, 0.13506855, 0.15223284, 0.91264119, 0.92719314,\n", - " 0.13607246, 0.31216995, 1.00039 , 0.23492208, 0.23585657,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.21419509, 0.99932869, 1.00009467, 0.99951648, 0.20285088,\n", - " 0.89325755, 0.99986736, 0.99991195, 1.02509224, 0.99958159,\n", - " 0.92719314]), array([0.15 , 0.13001454, 0.13001987, 0.13010532, 0.13032018,\n", - " 0.13177987, 0.1324136 , 0.59091678, 0.13317714, 0.98445394,\n", - " 0.13443697, 0.13506855, 0.15223284, 0.92710215, 0.92719314,\n", - " 0.13607246, 0.31216988, 1.00039 , 0.23492208, 0.23585657,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.21419509, 0.99932869, 1.00009467, 0.99951648, 0.20285088,\n", - " 0.89325755, 0.99986736, 0.99991183, 1.02509216, 0.99958099,\n", - " 0.92719314]), array([0.15 , 0.13001642, 0.13002004, 0.13010639, 0.13033462,\n", - " 0.13178322, 0.13245049, 0.59091678, 0.13321862, 0.98445394,\n", - " 0.13444826, 0.13506855, 0.15223284, 0.92711843, 0.92719314,\n", - " 0.13607246, 0.31216981, 1.00039 , 0.23492208, 0.23585657,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.21419509, 0.99932869, 1.00009467, 0.99951648, 0.20285088,\n", - " 0.89057988, 0.99986736, 0.99991171, 1.02509207, 0.9995804 ,\n", - " 0.92719314]), array([0.15 , 0.13001837, 0.13002021, 0.13010753, 0.13034896,\n", - " 0.13178673, 0.13248754, 0.59091678, 0.13325912, 0.98445394,\n", - " 0.13445934, 0.13506855, 0.15223284, 0.9271318 , 0.92719314,\n", - " 0.13607246, 0.31216974, 1.00039 , 0.23492208, 0.23585657,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.21419509, 0.99932869, 1.00009467, 0.99951648, 0.20285088,\n", - " 0.88432527, 0.99986736, 0.99991159, 1.02509198, 0.99957981,\n", - " 0.92719314]), array([0.15 , 0.13002214, 0.13002055, 0.13010979, 0.13037458,\n", - " 0.13179364, 0.13255488, 0.59091678, 0.13332934, 0.98445394,\n", - " 0.13447877, 0.13506855, 0.17760538, 0.92714916, 0.92719314,\n", - " 0.13607246, 0.31216777, 1.00039 , 0.23492208, 0.23585657,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.21419509, 0.99932869, 1.00009467, 0.99951648, 0.21968422,\n", - " 0.88435287, 0.99986736, 0.99991138, 1.02509183, 0.99957874,\n", - " 0.92719314]), array([0.15 , 0.13002614, 0.1300209 , 0.13011225, 0.13039988,\n", - " 0.1318011 , 0.13262222, 0.62603886, 0.1333966 , 0.98445394,\n", - " 0.13449758, 0.13506855, 0.51831928, 0.9271616 , 0.92719314,\n", - " 0.13607246, 0.31216765, 0.96716231, 0.23492208, 0.23585657,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.21419509, 0.99932869, 0.89959632, 0.99951648, 0.24389187,\n", - " 0.88435287, 0.99986736, 0.99991117, 1.02509167, 0.99957767,\n", - " 0.92719314]), array([0.15 , 0.13003037, 0.13002128, 0.1301149 , 0.13042488,\n", - " 0.13180909, 0.13268932, 0.63594679, 0.13346104, 0.98445394,\n", - " 0.13451579, 0.13506855, 0.88057773, 0.92717053, 0.92719314,\n", - " 0.13607246, 0.31216753, 0.85471913, 0.23492208, 0.23585657,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.21419509, 0.99932869, 0.85967247, 0.99951648, 0.24921356,\n", - " 0.88435287, 0.99986736, 0.99991096, 1.02509151, 0.99957661,\n", - " 0.92719314]), array([0.15 , 0.13003481, 0.13002168, 0.13011773, 0.13044958,\n", - " 0.13181761, 0.132756 , 0.63594679, 0.13352278, 0.98445394,\n", - " 0.13453342, 0.13506855, 0.92715097, 0.92717693, 0.92719314,\n", - " 0.13607246, 0.31576861, 0.73863278, 0.23492208, 0.20149119,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.21419509, 0.99932869, 0.72659607, 0.99951648, 0.23234933,\n", - " 0.88435287, 0.99986736, 0.99991075, 1.02509136, 0.99957556,\n", - " 0.92719314]), array([0.15 , 0.13003946, 0.1300221 , 0.13012075, 0.130474 ,\n", - " 0.13182667, 0.13282327, 0.64025323, 0.1335969 , 0.98445394,\n", - " 0.13481013, 0.1432091 , 0.92715658, 0.92718151, 0.92719314,\n", - " 0.13607246, 0.20943207, 0.70543094, 0.23492208, 0.19696851,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.21419509, 0.99932869, 0.63395734, 0.99951648, 0.23087269,\n", - " 0.88435287, 0.99986736, 0.99991055, 1.00430098, 0.9995745 ,\n", - " 0.92719314]), array([0.15 , 0.13004432, 0.13002255, 0.13012395, 0.13049816,\n", - " 0.13183624, 0.13289075, 0.67570013, 0.13366675, 0.98445394,\n", - " 0.13481013, 0.15135934, 0.92716175, 0.9271848 , 0.92719314,\n", - " 0.13607246, 0.15150563, 0.89087702, 0.23492208, 0.19696851,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.21419509, 0.99932869, 0.5997655 , 0.99951648, 0.20569132,\n", - " 0.88435287, 0.99986736, 0.99991034, 0.99581632, 0.99957346,\n", - " 0.92719314]), array([0.15 , 0.13004938, 0.13002303, 0.13012732, 0.13052207,\n", - " 0.13184634, 0.13295809, 0.67570013, 0.13373258, 0.98445394,\n", - " 0.13481013, 0.15135934, 0.92716642, 0.92718716, 0.92719314,\n", - " 0.13607246, 0.15150551, 0.99762106, 0.23492208, 0.19696851,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.22616699, 0.99932869, 0.55810186, 0.99951648, 0.15576536,\n", - " 0.88435287, 0.99986736, 0.99991013, 0.99581617, 0.99957242,\n", - " 0.92719314]), array([0.15 , 0.13005463, 0.13002353, 0.13013087, 0.13054575,\n", - " 0.13185694, 0.13302501, 0.67570013, 0.13379462, 0.98445394,\n", - " 0.13481013, 0.15135934, 0.92717053, 0.92718886, 0.92719314,\n", - " 0.13607246, 0.15150539, 1.00049278, 0.23492208, 0.19696851,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.23106381, 0.99932869, 0.54950237, 0.99951648, 0.15080581,\n", - " 0.88435287, 0.99986736, 0.99990993, 0.99581601, 0.99957138,\n", - " 0.92719314]), array([0.15 , 0.13006008, 0.13002406, 0.13013458, 0.1305692 ,\n", - " 0.13186805, 0.13309126, 0.68332359, 0.13385309, 0.98445394,\n", - " 0.13481013, 0.16800015, 0.92717412, 0.92719007, 0.92719314,\n", - " 0.13607246, 0.15150527, 0.99034409, 0.23492208, 0.19696851,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.23106381, 0.99932869, 0.52055873, 0.99951648, 0.15080581,\n", - " 0.88435287, 0.99986736, 0.99990972, 0.99581585, 0.99957034,\n", - " 0.92719314]), array([0.15 , 0.13006572, 0.13002462, 0.13013846, 0.13059244,\n", - " 0.13187965, 0.13315661, 0.69315761, 0.13390819, 0.98445394,\n", - " 0.13481013, 0.39362864, 0.9271772 , 0.92719094, 0.92719314,\n", - " 0.13607246, 0.15150515, 0.95995702, 0.23492208, 0.19696851,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.23106381, 0.99932869, 0.48410856, 0.99951648, 0.21512382,\n", - " 0.88435287, 0.99986736, 0.99990952, 0.9958157 , 0.99956932,\n", - " 0.92719314]), array([0.15 , 0.13007154, 0.13002522, 0.1301425 , 0.13061549,\n", - " 0.13189172, 0.13322089, 0.69315761, 0.13396012, 0.99457153,\n", - " 0.13481013, 0.74800246, 0.92717984, 0.92719156, 0.92719314,\n", - " 0.13607246, 0.15150503, 0.91396237, 0.23492208, 0.1817516 ,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.23106381, 0.99932869, 0.44738693, 0.99951648, 0.48540962,\n", - " 0.88435287, 0.99986736, 0.99990932, 0.99581554, 0.99956829,\n", - " 0.92719314]), array([0.15 , 0.13007754, 0.13002584, 0.1301467 , 0.13063834,\n", - " 0.13190425, 0.13328394, 0.69315761, 0.13400906, 1.00316404,\n", - " 0.13481013, 0.91011794, 0.92718207, 0.92719201, 0.92719314,\n", - " 0.13607246, 0.15150492, 0.88631917, 0.23492208, 0.15904256,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.221263 , 0.99932869, 0.42258203, 0.99951648, 0.92719314,\n", - " 0.88435287, 0.99986736, 0.99990912, 0.99581539, 0.99956727,\n", - " 0.92719314]), array([0.15 , 0.13008945, 0.13002714, 0.13015514, 0.13068074,\n", - " 0.13192932, 0.13339745, 0.69315761, 0.13409161, 1.00316404,\n", - " 0.13481013, 0.92717183, 0.92718517, 0.92719249, 0.92719314,\n", - " 0.13607246, 0.15150469, 0.81975596, 0.23492208, 0.14683051,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.20595363, 0.99932869, 0.41331239, 0.99951648, 0.92719314,\n", - " 0.88113837, 0.99986736, 0.99990874, 0.9958151 , 0.99956537,\n", - " 0.92719314]), array([0.15 , 0.13010194, 0.13002856, 0.13016412, 0.13072261,\n", - " 0.13195578, 0.13350542, 0.69315761, 0.13416565, 1.01459089,\n", - " 0.13481013, 0.92717469, 0.92718742, 0.92719277, 0.92719314,\n", - " 0.13607246, 0.15150447, 0.75224396, 0.23230787, 0.13693349,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.20285088, 0.99932869, 0.40128326, 0.99951648, 0.92719314,\n", - " 0.87878848, 0.99986736, 0.99990837, 0.99581481, 0.99956348,\n", - " 0.92719314]), array([0.15 , 0.130115 , 0.13003011, 0.1301736 , 0.13076402,\n", - " 0.13198352, 0.13360755, 0.69315761, 0.13423207, 1.01634518,\n", - " 0.13481013, 0.92717733, 0.92718906, 0.92719293, 0.92719314,\n", - " 0.13607246, 0.42244426, 0.412611 , 0.19790961, 0.13693349,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.2171955 , 0.99932869, 0.37904249, 0.99951648, 0.92719314,\n", - " 0.87878848, 0.99986736, 0.99990801, 0.99581452, 0.99956161,\n", - " 0.92719314]), array([0.15 , 0.13012862, 0.13003179, 0.13018358, 0.13080502,\n", - " 0.1320124 , 0.13370369, 0.69315761, 0.13429164, 1.01634518,\n", - " 0.13481013, 0.9271797 , 0.92719024, 0.92719302, 0.92719314,\n", - " 0.13607246, 0.89924361, 0.26106943, 0.19790961, 0.13693349,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.24565733, 0.99932869, 0.3585622 , 0.99951648, 0.92719314,\n", - " 0.87878848, 0.99986736, 0.99990764, 0.99581423, 0.99955975,\n", - " 0.92719314]), array([0.15 , 0.13014277, 0.13003362, 0.13019405, 0.13084566,\n", - " 0.13204231, 0.13379383, 0.69315761, 0.13434507, 1.01634518,\n", - " 0.13481013, 0.92718179, 0.92719108, 0.92719307, 0.92719314,\n", - " 0.13607246, 0.90364237, 0.26106943, 0.19790961, 0.13693349,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.23161101, 0.99932869, 0.30562553, 0.99951648, 0.92719314,\n", - " 0.87878848, 0.99986736, 0.99990728, 0.99581394, 0.9995579 ,\n", - " 0.92719314]), array([0.15 , 0.13015743, 0.13003559, 0.13020499, 0.13088597,\n", - " 0.13207313, 0.13387804, 0.69340109, 0.13439299, 1.01634518,\n", - " 0.13481013, 0.9271836 , 0.92719168, 0.9271931 , 0.92719314,\n", - " 0.13607246, 0.90364304, 0.26396823, 0.19790961, 0.13693349,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.18104739, 0.99932869, 0.25090002, 0.99951648, 0.92719314,\n", - " 0.87878848, 0.99986736, 0.99990692, 0.99581366, 0.99955607,\n", - " 0.92719314]), array([0.15 , 0.1301726 , 0.13003771, 0.13021639, 0.13092599,\n", - " 0.13210476, 0.13395645, 0.70674318, 0.13443598, 1.01634518,\n", - " 0.13481013, 0.92718516, 0.92719211, 0.92719312, 0.92719314,\n", - " 0.13607246, 0.90364365, 0.28404864, 0.19790961, 0.13693349,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.15245899, 0.99932869, 0.22112558, 0.99951648, 0.92719314,\n", - " 0.87878848, 0.99986736, 0.99990657, 0.99581337, 0.99955426,\n", - " 0.92719314]), array([0.15 , 0.13018825, 0.13003999, 0.13022824, 0.13096577,\n", - " 0.13213707, 0.13402927, 0.71359351, 0.13447453, 1.01634518,\n", - " 0.13481013, 0.92718649, 0.92719241, 0.92719313, 0.92719314,\n", - " 0.13607246, 0.90364419, 0.28404864, 0.19790961, 0.14066035,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.29821917, 0.99932869, 0.21461808, 0.99951648, 0.92719314,\n", - " 0.8752099 , 0.99986736, 0.99990622, 0.99581308, 0.99955246,\n", - " 0.92719314]), array([0.15 , 0.13020437, 0.13004243, 0.13024053, 0.13100531,\n", - " 0.13216997, 0.13409671, 0.81126332, 0.13450912, 1.01754101,\n", - " 0.13481013, 0.92718762, 0.92719263, 0.92719314, 0.92719314,\n", - " 0.13607246, 0.90364467, 0.28404864, 0.19790961, 0.15198045,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.84146811, 0.99932869, 0.21461808, 0.99951648, 0.92719314,\n", - " 0.81810159, 0.99986736, 0.99990587, 0.9958128 , 0.99955068,\n", - " 0.92719314]), array([0.15 , 0.13022095, 0.13004502, 0.13025324, 0.13104466,\n", - " 0.13220337, 0.13415903, 0.82626242, 0.13454014, 1.03718374,\n", - " 0.13481013, 0.92718857, 0.92719278, 0.92719314, 0.92719314,\n", - " 0.13607246, 0.90364511, 0.3006148 , 0.19790961, 0.15198045,\n", - " 1.00047636, 1.00052995, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.21461808, 0.99951648, 0.92719314,\n", - " 0.8421565 , 0.99986736, 0.99990552, 0.98069501, 0.9995489 ,\n", - " 0.92719314]), array([0.15 , 0.13023797, 0.13004779, 0.13026638, 0.13108382,\n", - " 0.13223717, 0.1342165 , 0.94381111, 0.13456796, 1.03718374,\n", - " 0.13481013, 0.92718936, 0.92719289, 0.92719314, 0.92719314,\n", - " 0.13607246, 0.90364549, 0.31250805, 0.19790961, 0.15198045,\n", - " 0.99937069, 1.00052995, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.21461808, 0.99951648, 0.92719314,\n", - " 0.85105488, 0.99986736, 0.99990518, 0.97687436, 0.99954715,\n", - " 0.92719314]), array([0.15 , 0.13025543, 0.13005072, 0.13027992, 0.13112282,\n", - " 0.1322713 , 0.1342694 , 0.95279618, 0.13459292, 1.03718374,\n", - " 0.13481013, 0.92719002, 0.92719296, 0.92719314, 0.92719314,\n", - " 0.13607246, 0.90364583, 0.31250805, 0.19790961, 0.15198045,\n", - " 0.94709611, 0.96906581, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.21627885, 0.99951648, 0.92719314,\n", - " 0.86958912, 0.99986736, 0.99990484, 0.96805673, 0.9995454 ,\n", - " 0.92719314]), array([0.15 , 0.13027769, 0.13005461, 0.1302973 , 0.13117087,\n", - " 0.1323138 , 0.13432387, 0.99969569, 0.13459292, 1.03718374,\n", - " 0.14577092, 0.92719067, 0.92719302, 0.92719314, 0.92719314,\n", - " 0.14625444, 0.90364903, 0.31250805, 0.19790961, 0.16890298,\n", - " 0.74198089, 0.7893276 , 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.2286142 , 0.99951648, 0.92719314,\n", - " 0.86958921, 0.99986736, 0.99990443, 0.96462942, 0.99954327,\n", - " 0.92719314]), array([0.15 , 0.13030058, 0.13005878, 0.13031527, 0.1312187 ,\n", - " 0.13235635, 0.13436917, 0.99969569, 0.13459292, 1.03718374,\n", - " 0.15758059, 0.9271912 , 0.92719307, 0.92719314, 0.92719314,\n", - " 0.15151137, 0.90364959, 0.31250805, 0.19790961, 0.77748465,\n", - " 0.57162465, 0.54097553, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.2286142 , 0.99951648, 0.92719314,\n", - " 0.86958921, 0.99986736, 0.99990401, 0.94932234, 0.99954115,\n", - " 0.92719314]), array([0.15 , 0.13032406, 0.13006322, 0.13033381, 0.13126631,\n", - " 0.13239881, 0.13440685, 0.99969569, 0.13459292, 1.03718374,\n", - " 0.57738072, 0.92719161, 0.92719309, 0.92719314, 0.92719314,\n", - " 0.42714637, 0.90365009, 0.25342346, 0.19790961, 0.92718665,\n", - " 0.54512262, 0.51215769, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.21605021, 0.99951648, 0.92719314,\n", - " 0.86101103, 0.99986736, 0.99990361, 0.93210376, 0.99953906,\n", - " 0.92719314]), array([0.15 , 0.13034812, 0.13006795, 0.13035292, 0.13131371,\n", - " 0.13244104, 0.13443818, 0.99969569, 0.13459292, 1.03718374,\n", - " 0.92131265, 0.92719194, 0.92719311, 0.92719314, 0.92719314,\n", - " 0.91401162, 0.90365055, 0.15150503, 0.19790961, 0.92718701,\n", - " 0.45594539, 0.42300653, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.20440225, 0.99951648, 0.92719314,\n", - " 0.85806891, 0.99986736, 0.99990321, 0.91679581, 0.99953698,\n", - " 0.92719314]), array([0.15 , 0.13037275, 0.13007296, 0.13037258, 0.13136088,\n", - " 0.13248293, 0.13446423, 0.99969569, 0.13459292, 1.03718374,\n", - " 0.92718593, 0.92719219, 0.92719312, 0.92719314, 0.92719314,\n", - " 0.92718689, 0.90365096, 0.15150503, 0.19790961, 0.92718734,\n", - " 0.3929061 , 0.35131898, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.21868915, 0.99951648, 0.92719314,\n", - " 0.85028318, 0.99986736, 0.99990281, 0.97614742, 0.99953493,\n", - " 0.92719314]), array([0.15 , 0.13039792, 0.13007826, 0.13039277, 0.13140782,\n", - " 0.1325244 , 0.1344859 , 0.99969569, 0.13459292, 1.01272331,\n", - " 0.92718639, 0.9271924 , 0.92719313, 0.92719314, 0.92719314,\n", - " 0.92718724, 0.90365133, 0.15150503, 0.19790961, 0.92718766,\n", - " 0.29739142, 0.24631558, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.24160992, 0.99951648, 0.92719314,\n", - " 0.71201556, 0.99986736, 0.99990242, 0.98707269, 0.9995329 ,\n", - " 0.92719314]), array([0.15 , 0.13042361, 0.13008385, 0.13041348, 0.13145452,\n", - " 0.13256539, 0.13450392, 0.99969569, 0.13459292, 0.99535757,\n", - " 0.92718683, 0.92719256, 0.92719313, 0.92719314, 0.92719314,\n", - " 0.92718757, 0.90365167, 0.15150503, 0.19790961, 0.92718796,\n", - " 0.28369685, 0.21257306, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.20731745, 0.99951648, 0.92719314,\n", - " 0.71756424, 0.99986736, 0.99990203, 1.00031333, 0.99953088,\n", - " 0.92719314]), array([0.15 , 0.13044981, 0.13008974, 0.13043469, 0.13150096,\n", - " 0.13260553, 0.13450392, 0.99969569, 0.14543421, 0.99535757,\n", - " 0.92718725, 0.92719268, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92718788, 0.90365198, 0.2789063 , 0.19790961, 0.92718824,\n", - " 0.28369685, 0.21257306, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.16181417, 0.99951648, 0.92719314,\n", - " 0.85483399, 0.99986736, 0.99990164, 1.00031298, 0.99952889,\n", - " 0.92719314]), array([0.15 , 0.13047649, 0.13009593, 0.13045639, 0.13154711,\n", - " 0.13264484, 0.13450392, 0.99969569, 0.15722485, 0.99535757,\n", - " 0.92718764, 0.92719278, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92718818, 0.90365226, 0.74111069, 0.19790961, 0.92718851,\n", - " 0.28369685, 0.21257306, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.30972269, 0.99951648, 0.92719314,\n", - " 0.80758395, 0.99986736, 0.99990126, 1.00031264, 0.99952692,\n", - " 0.92719314]), array([0.15 , 0.13050363, 0.13010242, 0.13047855, 0.13159295,\n", - " 0.13268333, 0.13450392, 0.99969569, 0.56473522, 0.99535757,\n", - " 0.92718801, 0.92719286, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92718845, 0.90365251, 0.90344287, 0.19790961, 0.92718877,\n", - " 0.28369685, 0.21257306, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.86287247, 0.99951648, 0.92719314,\n", - " 0.72860786, 0.99986736, 0.99990089, 1.0003123 , 0.99952496,\n", - " 0.92719314]), array([0.15 , 0.13053123, 0.13010922, 0.13050117, 0.13163846,\n", - " 0.13272103, 0.13450392, 0.99969569, 0.9159379 , 0.99535757,\n", - " 0.92718836, 0.92719292, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92718872, 0.90365274, 0.90345551, 0.19167976, 0.92718901,\n", - " 0.29946897, 0.22494928, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.92719314, 0.99951648, 0.92719314,\n", - " 0.66358944, 0.99986736, 0.99990052, 1.00031197, 0.99952303,\n", - " 0.92719314]), array([0.15 , 0.13055926, 0.13011633, 0.13052425, 0.13168418,\n", - " 0.1327717 , 0.13516854, 0.83009284, 0.92654451, 0.96121014,\n", - " 0.92718869, 0.92719297, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92718897, 0.90365294, 0.90346739, 0.17779423, 0.92718923,\n", - " 0.30362562, 0.23448076, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.92719314, 0.99951648, 0.92719314,\n", - " 0.37085129, 0.99986736, 0.99990015, 1.00031163, 0.99952111,\n", - " 0.92719314]), array([0.15 , 0.13058088, 0.13012193, 0.13054209, 0.13171798,\n", - " 0.1327717 , 0.14543421, 0.61084645, 0.92660759, 0.83974507,\n", - " 0.92718893, 0.927193 , 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92718915, 0.90365324, 0.90347606, 0.17779423, 0.9271894 ,\n", - " 0.30362562, 0.23448076, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.92719314, 0.99951648, 0.92719314,\n", - " 0.25292398, 0.99986736, 0.99989987, 1.00031137, 0.99951966,\n", - " 0.92719314]), array([0.15 , 0.1306027 , 0.13012771, 0.13056015, 0.13175072,\n", - " 0.1327717 , 0.15449872, 0.5295459 , 0.92666452, 0.73318274,\n", - " 0.92718916, 0.92719303, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92718932, 0.90365337, 0.90348432, 0.16523021, 0.92718956,\n", - " 0.30362562, 0.23448076, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.92719314, 0.99951648, 0.92719314,\n", - " 0.25292398, 0.99986736, 0.9998996 , 1.00031112, 0.99951822,\n", - " 0.92719314]), array([0.15 , 0.13062471, 0.13013367, 0.13057842, 0.13178245,\n", - " 0.1327717 , 0.34381044, 0.52455205, 0.9267159 , 0.69489285,\n", - " 0.92718937, 0.92719305, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92718949, 0.9036535 , 0.9034922 , 0.156155 , 0.92718971,\n", - " 0.30362562, 0.23448076, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.92719314, 0.99951648, 0.92719314,\n", - " 0.2531369 , 0.99986736, 0.99989932, 1.00031086, 0.99951679,\n", - " 0.92719314]), array([0.15 , 0.13064689, 0.13013981, 0.13059688, 0.13181319,\n", - " 0.1327717 , 0.61634272, 0.52455205, 0.92676226, 0.69489285,\n", - " 0.92718958, 0.92719306, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92718964, 0.90365362, 0.90349972, 0.156155 , 0.92718985,\n", - " 0.30362562, 0.23448076, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.92719314, 0.99951648, 0.92719314,\n", - " 0.27077285, 0.99986736, 0.99989905, 1.00031061, 0.99951537,\n", - " 0.92719314]), array([0.15 , 0.1306692 , 0.13014613, 0.1306155 , 0.13184297,\n", - " 0.1327717 , 0.9159379 , 0.52424159, 0.92680411, 0.69489285,\n", - " 0.92718977, 0.92719308, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.9271898 , 0.90365372, 0.9035069 , 0.156155 , 0.92718999,\n", - " 0.30362562, 0.23448076, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.92719314, 0.99951648, 0.92719314,\n", - " 0.27077285, 0.99986736, 0.99989878, 1.00031035, 0.99951397,\n", - " 0.92719314]), array([0.15 , 0.13069164, 0.13015263, 0.13063428, 0.13187183,\n", - " 0.1327717 , 0.9249344 , 0.49911698, 0.92684188, 0.69489285,\n", - " 0.92718995, 0.92719309, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92718994, 0.90365382, 0.90351375, 0.156155 , 0.92719013,\n", - " 0.29335001, 0.23413118, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.92719314, 0.99951648, 0.92719314,\n", - " 0.27077285, 0.99187666, 0.99983082, 1.0003101 , 0.99951257,\n", - " 0.92719314]), array([0.15 , 0.13071418, 0.13015931, 0.13065319, 0.13189979,\n", - " 0.1327717 , 0.92672264, 0.42259038, 0.92687597, 0.69489285,\n", - " 0.92719013, 0.9271931 , 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719008, 0.90365392, 0.90352028, 0.156155 , 0.92719025,\n", - " 0.27008961, 0.19761461, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.92719314, 0.99951648, 0.92719314,\n", - " 0.2819951 , 0.98719741, 0.99983082, 1.00030984, 0.99951118,\n", - " 0.92719314]), array([0.15 , 0.1307368 , 0.13016617, 0.13067223, 0.13192689,\n", - " 0.1327717 , 0.92674727, 0.37674862, 0.92690674, 0.69489285,\n", - " 0.92719029, 0.92719311, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719021, 0.903654 , 0.90352651, 0.15023185, 0.92719038,\n", - " 0.27008961, 0.19761461, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.92719314, 0.99951648, 0.92719314,\n", - " 0.29169475, 0.98719741, 0.99983082, 1.00030959, 0.99950981,\n", - " 0.92719314]), array([0.15 , 0.13075949, 0.13017321, 0.13069138, 0.13195314,\n", - " 0.1327717 , 0.92677232, 0.36079442, 0.92693451, 0.69489285,\n", - " 0.92719045, 0.92719311, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719034, 0.90365408, 0.90353246, 0.13692333, 0.92719049,\n", - " 0.27008961, 0.19761461, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.92719314, 0.99951648, 0.92719314,\n", - " 0.29384875, 0.98719741, 0.99983082, 1.00030934, 0.99950844,\n", - " 0.92719314]), array([0.15 , 0.13078224, 0.13018042, 0.13071062, 0.13197857,\n", - " 0.1327717 , 0.92679737, 0.23353963, 0.92695957, 0.69489285,\n", - " 0.92719059, 0.92719312, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719046, 0.90365415, 0.90353813, 0.13692333, 0.92719061,\n", - " 0.26481932, 0.19653107, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.92719314, 0.99951648, 0.92719314,\n", - " 0.29384875, 0.98719741, 0.99983082, 1.00030909, 0.99950709,\n", - " 0.92719314]), array([0.15 , 0.13080502, 0.1301878 , 0.13072994, 0.13200322,\n", - " 0.1327717 , 0.9268221 , 0.20822795, 0.9269822 , 0.69486181,\n", - " 0.92719073, 0.92719312, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719058, 0.90365422, 0.90354354, 0.13692333, 0.92719071,\n", - " 0.23464799, 0.17027716, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.92719314, 0.99951648, 0.92719314,\n", - " 0.29384875, 0.98719741, 0.99983082, 1.00030884, 0.99950574,\n", - " 0.92719314]), array([0.15 , 0.13082781, 0.13019536, 0.13074932, 0.1320271 ,\n", - " 0.1327717 , 0.92684625, 0.20822795, 0.92700263, 0.67887219,\n", - " 0.92719087, 0.92719313, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719069, 0.90365429, 0.9035487 , 0.13692333, 0.92719082,\n", - " 0.216439 , 0.13981482, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.92719314, 0.99951648, 0.92719314,\n", - " 0.29206943, 0.98719741, 0.99983082, 1.00030859, 0.99950441,\n", - " 0.92719314]), array([0.15 , 0.13085197, 0.13020355, 0.13076991, 0.13205155,\n", - " 0.1327717 , 0.92687096, 0.22155832, 0.92702204, 0.66390157,\n", - " 0.927191 , 0.92719313, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.9271908 , 0.90365427, 0.90355389, 0.13692333, 0.92719092,\n", - " 0.21643901, 0.13863648, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.92719314, 0.99951648, 0.92719314,\n", - " 0.24594087, 0.98719741, 0.99983082, 1.00030832, 0.99950301,\n", - " 0.92719314]), array([0.15 , 0.13087611, 0.13021193, 0.13079055, 0.1320752 ,\n", - " 0.1327717 , 0.92689464, 0.24685131, 0.92703946, 0.61216619,\n", - " 0.92719112, 0.92719313, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719091, 0.90365432, 0.90355883, 0.13692333, 0.92719102,\n", - " 0.21643901, 0.13863648, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.92719314, 0.99951648, 0.92719314,\n", - " 0.18007901, 0.98719741, 0.99983082, 1.00030806, 0.99950162,\n", - " 0.92719314]), array([0.15 , 0.13090022, 0.1302205 , 0.13081123, 0.13209808,\n", - " 0.1327717 , 0.92691719, 0.23661741, 0.9270551 , 0.56913103,\n", - " 0.92719124, 0.92719313, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719101, 0.90365437, 0.90356353, 0.13692333, 0.92719111,\n", - " 0.21643901, 0.13863648, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.92719314, 0.99951648, 0.92719314,\n", - " 0.16330178, 0.99376056, 0.99983082, 1.0003078 , 0.99950024,\n", - " 0.92719314]), array([0.15 , 0.1309243 , 0.13022925, 0.13083192, 0.1321202 ,\n", - " 0.1327717 , 0.92693855, 0.23661741, 0.92706914, 0.53944074,\n", - " 0.92719135, 0.92719314, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719111, 0.90365442, 0.90356801, 0.13692333, 0.92719121,\n", - " 0.21643901, 0.13863648, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.92719314, 0.99951648, 0.92719314,\n", - " 0.16330178, 1.01667793, 0.99983082, 1.00030753, 0.99949887,\n", - " 0.92719314]), array([0.15 , 0.13094832, 0.13023818, 0.13085263, 0.1321416 ,\n", - " 0.1327717 , 0.92695867, 0.23661741, 0.92708175, 0.52638193,\n", - " 0.92719146, 0.92719314, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.9271912 , 0.90365447, 0.90357226, 0.13692333, 0.92719129,\n", - " 0.21643901, 0.13863648, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.92719314, 0.99951648, 0.92719314,\n", - " 0.16330178, 1.01667793, 0.99983082, 1.00030727, 0.99949751,\n", - " 0.92719314]), array([0.15 , 0.13097227, 0.1302473 , 0.13087334, 0.13216229,\n", - " 0.1327717 , 0.92697756, 0.22141646, 0.92709306, 0.52638193,\n", - " 0.92719155, 0.92719314, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719129, 0.90365451, 0.90357631, 0.13692333, 0.92719137,\n", - " 0.21643901, 0.13863648, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.92719314, 0.99951648, 0.92719314,\n", - " 0.16330178, 1.01667793, 0.99983082, 1.00030701, 0.99949616,\n", - " 0.92719314]), array([0.15 , 0.13099615, 0.13025658, 0.13089404, 0.1321823 ,\n", - " 0.1327717 , 0.92699522, 0.20973883, 0.92710322, 0.52638193,\n", - " 0.92719165, 0.92719314, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719138, 0.90365455, 0.90358016, 0.13692333, 0.92719145,\n", - " 0.21850665, 0.13863648, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.92719314, 0.99951648, 0.92719314,\n", - " 0.25055032, 1.01667793, 0.99983082, 1.00030675, 0.99949483,\n", - " 0.92719314]), array([0.15 , 0.13101993, 0.13026604, 0.13091471, 0.13220166,\n", - " 0.1327717 , 0.92701168, 0.20524915, 0.92711234, 0.52638193,\n", - " 0.92719173, 0.92719314, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719146, 0.90365458, 0.90358382, 0.13692333, 0.92719153,\n", - " 0.22857762, 0.15051138, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.92719314, 0.99951648, 0.92719314,\n", - " 0.49390452, 1.01667793, 0.99983082, 1.00030649, 0.9994935 ,\n", - " 0.92719314]), array([0.15 , 0.13104362, 0.13027567, 0.13093536, 0.13222038,\n", - " 0.1327717 , 0.92702698, 0.19455562, 0.92712053, 0.52638193,\n", - " 0.92719182, 0.92719314, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719153, 0.90365461, 0.9035873 , 0.13692333, 0.9271916 ,\n", - " 0.22857762, 0.15198045, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.92719314, 0.99951648, 0.92719314,\n", - " 0.68989209, 1.01667793, 0.99983082, 1.00030623, 0.99949219,\n", - " 0.92719314]), array([0.15 , 0.1310672 , 0.13028546, 0.13095596, 0.13223849,\n", - " 0.1327717 , 0.92704116, 0.19455562, 0.92712789, 0.52638193,\n", - " 0.92719189, 0.92719314, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719161, 0.90365464, 0.90359062, 0.13692333, 0.92719167,\n", - " 0.22857762, 0.15198045, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.92719314, 0.99951648, 0.92719314,\n", - " 0.77335617, 1.01667793, 0.99983082, 1.00030597, 0.99949088,\n", - " 0.92719314]), array([0.15 , 0.13109066, 0.13029542, 0.13097652, 0.132256 ,\n", - " 0.1327717 , 0.92705428, 0.19455562, 0.92713449, 0.52638193,\n", - " 0.92719197, 0.92719314, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719168, 0.90365467, 0.90359377, 0.13692333, 0.92719174,\n", - " 0.23119975, 0.15198045, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.92719314, 0.99951648, 0.92719314,\n", - " 0.77702796, 1.01667793, 0.99983082, 1.00030572, 0.99948959,\n", - " 0.92719314]), array([0.15 , 0.13111399, 0.13030554, 0.13099702, 0.13227294,\n", - " 0.1327717 , 0.92706639, 0.19455562, 0.92714042, 0.52638193,\n", - " 0.92719203, 0.92719314, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719174, 0.9036547 , 0.90359677, 0.13692333, 0.9271918 ,\n", - " 0.24397152, 0.16703994, 0.92719314, 0.92719314, 0.92719314,\n", - " 0.92719314, 0.99932869, 0.92719314, 0.99951648, 0.92719314,\n", - " 0.77703008, 1.03048434, 0.99983082, 1.00030546, 0.9994883 ,\n", - " 0.92719314]), array([0.15 , 0.13 , 0.13027382, 0.1303095 , 0.13085193,\n", - " 0.13198449, 0.92629098, 0.19455562, 0.92673798, 0.52638193,\n", - " 0.92702348, 0.92717113, 0.92718647, 0.92719081, 0.92719225,\n", - " 0.92719142, 0.13721974, 0.90358968, 0.13692333, 0.92719178,\n", - " 0.71880368, 0.3324938 , 0.92719305, 0.92719275, 0.92719311,\n", - " 0.92719314, 0.99932869, 0.92719314, 0.99951648, 0.92719314,\n", - " 0.23477943, 1.03599597, 0.99983082, 1.00030534, 0.9994877 ,\n", - " 0.92719314]), array([0.15 , 0.13 , 0.13025111, 0.13030494, 0.13066658,\n", - " 0.13171697, 0.92629098, 0.19455562, 0.92654866, 0.52638193,\n", - " 0.9268855 , 0.92713571, 0.92717109, 0.9271839 , 0.92718905,\n", - " 0.92719015, 0.13721974, 0.90358968, 0.13692333, 0.92719161,\n", - " 0.79757969, 0.77748465, 0.9271926 , 0.92719115, 0.92719292,\n", - " 0.92719314, 0.99932869, 0.92719314, 0.99951648, 0.92719314,\n", - " 0.23477943, 1.03599597, 0.99983082, 1.00030521, 0.99948709,\n", - " 0.92719314]), array([0.15 , 0.13 , 0.13023028, 0.13029912, 0.13052706,\n", - " 0.13147543, 0.91860102, 0.19455562, 0.92318258, 0.52638193,\n", - " 0.92580948, 0.92697125, 0.92711054, 0.92715821, 0.92717725,\n", - " 0.9271852 , 0.13721974, 0.90358968, 0.13692333, 0.92719088,\n", - " 0.83267444, 0.77748465, 0.92719083, 0.92718512, 0.92719213,\n", - " 0.92719314, 0.99932869, 0.92719314, 0.99951648, 0.92719311,\n", - " 0.23477943, 1.03599597, 0.99983082, 1.00030509, 0.99948648,\n", - " 0.92719314]), array([0.15 , 0.13 , 0.13021117, 0.13029226, 0.13042187,\n", - " 0.13126157, 0.22529919, 0.19455562, 0.92318258, 0.52638193,\n", - " 0.92504614, 0.92673252, 0.92699601, 0.92710141, 0.92714826,\n", - " 0.92717344, 0.13721974, 0.90358968, 0.13692333, 0.92718893,\n", - " 0.93376197, 0.8776085 , 0.92718571, 0.92716914, 0.92718971,\n", - " 0.92719313, 0.99932869, 0.92719314, 0.99951648, 0.92719301,\n", - " 0.23477943, 1.03599597, 0.99983082, 1.00030497, 0.99948588,\n", - " 0.92719314]), array([0.15 , 0.14777549, 0.13021117, 0.13028594, 0.1304187 ,\n", - " 0.13109048, 0.13215548, 0.19455562, 0.47730401, 0.52638193,\n", - " 0.92504614, 0.92652339, 0.92685282, 0.92701435, 0.92709716,\n", - " 0.92715351, 0.13721974, 0.90358968, 0.13692333, 0.92718512,\n", - " 0.93376192, 0.92718983, 0.92717441, 0.92713793, 0.92718394,\n", - " 0.92719311, 0.99932869, 0.92719314, 0.99951648, 0.92719274,\n", - " 0.23477943, 1.03599597, 0.99983082, 1.00030485, 0.99948528,\n", - " 0.92719314]), array([0.15 , 0.15 , 0.13021117, 0.13028011, 0.13041562,\n", - " 0.13095349, 0.13203417, 0.19455562, 0.16575081, 0.52638193,\n", - " 0.92504614, 0.9263402 , 0.92669751, 0.92690338, 0.92702336,\n", - " 0.92712517, 0.13721974, 0.90358968, 0.13692333, 0.92717898,\n", - " 0.93376179, 0.92718969, 0.92715405, 0.92708826, 0.92717267,\n", - " 0.92719306, 0.99932869, 0.92719314, 0.99951648, 0.92719214,\n", - " 0.22326053, 1.03599597, 0.99983082, 1.00030473, 0.99948469,\n", - " 0.92719312]), array([0.15 , 0.15 , 0.13021117, 0.13027473, 0.13078118,\n", - " 0.13091851, 0.13192158, 0.19455562, 0.13202145, 0.52638193,\n", - " 0.67489637, 0.9263402 , 0.92658925, 0.92679337, 0.92693603,\n", - " 0.92709185, 0.13721974, 0.90358968, 0.13692333, 0.92717058,\n", - " 0.93376157, 0.92718945, 0.92712289, 0.92702226, 0.9271539 ,\n", - " 0.92719296, 0.99932869, 0.92719313, 0.99951648, 0.927191 ,\n", - " 0.19758304, 1.03599597, 0.99983082, 1.00030461, 0.99948409,\n", - " 0.92719309]), array([0.15 , 0.15 , 0.13021117, 0.13026977, 0.1469751 ,\n", - " 0.13091851, 0.13182035, 0.19059453, 0.13193628, 0.52638193,\n", - " 0.30324185, 0.9263402 , 0.92651379, 0.92669546, 0.92684505,\n", - " 0.92705592, 0.13721974, 0.90358968, 0.13692333, 0.92716022,\n", - " 0.93376123, 0.92718908, 0.92708094, 0.92694543, 0.92712638,\n", - " 0.92719276, 0.99932869, 0.92719312, 0.99951648, 0.92718908,\n", - " 0.19758304, 1.03599597, 0.99983082, 1.00030448, 0.9994835 ,\n", - " 0.92719305]), array([0.15 , 0.15 , 0.13021117, 0.1302652 , 0.14709336,\n", - " 0.13091851, 0.13172934, 0.17455777, 0.13184863, 0.52638193,\n", - " 0.14685845, 0.9263402 , 0.9264612 , 0.92661341, 0.92675792,\n", - " 0.92701895, 0.13721974, 0.90358968, 0.13692333, 0.9271483 ,\n", - " 0.93376076, 0.92718857, 0.92702969, 0.92686413, 0.92708991,\n", - " 0.92719241, 0.99932869, 0.9271931 , 0.99951648, 0.92718613,\n", - " 0.19758304, 1.03599597, 0.99983082, 1.00030436, 0.99948291,\n", - " 0.92719297]), array([0.15 , 0.15 , 0.13021117, 0.13026099, 0.14718127,\n", - " 0.13091851, 0.13164751, 0.15707053, 0.13176345, 0.52638193,\n", - " 0.13188547, 0.9263402 , 0.92642454, 0.92654727, 0.92667924,\n", - " 0.926982 , 0.4707087 , 0.90358968, 0.13692333, 0.9271352 ,\n", - " 0.93376015, 0.92718789, 0.92697161, 0.92678397, 0.92704529,\n", - " 0.92719187, 0.99932869, 0.92719306, 0.99951648, 0.92718195,\n", - " 0.19758304, 1.03599597, 0.99983082, 1.00030424, 0.99948232,\n", - " 0.92719285]), array([0.15 , 0.15 , 0.13021117, 0.1302571 , 0.14724649,\n", - " 0.13211146, 0.13169433, 0.1503934 , 0.13173417, 0.52638193,\n", - " 0.13184151, 0.9263402 , 0.92639898, 0.92649533, 0.92661118,\n", - " 0.92694575, 0.92711812, 0.90358968, 0.13692333, 0.92712126,\n", - " 0.93375938, 0.92718705, 0.92690954, 0.92670905, 0.9269941 ,\n", - " 0.92719107, 1.00159514, 0.927193 , 0.99951648, 0.92717636,\n", - " 0.19758304, 1.03599597, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.92719269]), array([0.15 , 0.15 , 0.13021117, 0.13025352, 0.14729473,\n", - " 0.1471587 , 0.13169433, 0.13385677, 0.1317173 , 0.52638193,\n", - " 0.13180541, 0.9263402 , 0.92638117, 0.92645535, 0.92655419,\n", - " 0.92691066, 0.92710259, 0.90358968, 0.13692333, 0.92710674,\n", - " 0.93375845, 0.92718604, 0.92684628, 0.92664191, 0.92693835,\n", - " 0.92718994, 1.01683607, 0.92719291, 0.99951648, 0.92716929,\n", - " 0.19758304, 1.03599597, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.92719247]), array([0.12 , 0.15 , 0.13021117, 0.13024832, 0.14738593,\n", - " 0.14722629, 0.13169433, 0.13385677, 0.13170469, 0.52638193,\n", - " 0.13176477, 0.83809167, 0.92638117, 0.92642064, 0.92648301,\n", - " 0.92685885, 0.9270793 , 0.90359677, 0.13692333, 0.92707982,\n", - " 0.93375622, 0.92718361, 0.92675187, 0.92655542, 0.92684819,\n", - " 0.92718651, 1.01683607, 0.92719256, 0.99951648, 0.92715221,\n", - " 0.19758304, 1.03599597, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.927192 ]), array([0.12 , 0.15 , 0.13376979, 0.13068095, 0.14742074,\n", - " 0.14728413, 0.13169433, 0.13385677, 0.13169901, 0.52638193,\n", - " 0.13173824, 0.37905409, 0.87417235, 0.92642064, 0.92645157,\n", - " 0.92685885, 0.85882256, 0.90359677, 0.13692333, 0.92705395,\n", - " 0.93375351, 0.92718065, 0.92666976, 0.92649889, 0.92676192,\n", - " 0.9271815 , 1.01683607, 0.92719195, 0.99951648, 0.92713145,\n", - " 0.17933903, 1.03599597, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.92719139]), array([0.12 , 0.15 , 0.14983001, 0.13068095, 0.14744301,\n", - " 0.1473314 , 0.13169433, 0.13385677, 0.13169644, 0.52638193,\n", - " 0.13172137, 0.13900476, 0.56664592, 0.88133786, 0.92571905,\n", - " 0.92685885, 0.83489309, 0.90359677, 0.13692333, 0.92705395,\n", - " 0.93375085, 0.92717775, 0.92647653, 0.92607441, 0.92662393,\n", - " 0.9271745 , 1.01683607, 0.927191 , 0.99951648, 0.92710446,\n", - " 0.15860335, 1.02773114, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.92719059]), array([0.12 , 0.15 , 0.14985244, 0.13068095, 0.14745727,\n", - " 0.14736884, 0.13169433, 0.13385677, 0.13169528, 0.52638193,\n", - " 0.13171085, 0.13176727, 0.23496422, 0.60882115, 0.87691294,\n", - " 0.92685885, 0.83487616, 0.90359677, 0.13692333, 0.92705395,\n", - " 0.93374826, 0.92717492, 0.92374805, 0.91807009, 0.92523344,\n", - " 0.92715908, 1.01683607, 0.92718925, 0.99951648, 0.92700496,\n", - " 0.14508515, 0.99476726, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.92718843]), array([0.12 , 0.13242999, 0.14985244, 0.13068095, 0.14745719,\n", - " 0.14739512, 0.13542184, 0.13385677, 0.13374052, 0.52638193,\n", - " 0.13252978, 0.13191089, 0.13394325, 0.28045219, 0.60348935,\n", - " 0.92685885, 0.83486114, 0.90359677, 0.13692333, 0.92705395,\n", - " 0.93374573, 0.92717215, 0.92374805, 0.83239494, 0.92451525,\n", - " 0.92713302, 1.01683607, 0.92718617, 0.99951648, 0.92687255,\n", - " 0.13988106, 0.99476726, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.92718499]), array([0.12 , 0.12 , 0.14985244, 0.13068095, 0.14416476,\n", - " 0.14643419, 0.14716705, 0.13385677, 0.13612955, 0.52638193,\n", - " 0.13398222, 0.13230103, 0.13326145, 0.14750347, 0.27829347,\n", - " 0.92685885, 0.83484781, 0.90359677, 0.13692333, 0.92705395,\n", - " 0.93374325, 0.92716945, 0.92374805, 0.55054193, 0.92414431,\n", - " 0.92709613, 1.01683607, 0.92718124, 0.99951648, 0.92672746,\n", - " 0.13988106, 0.99476726, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.92718065]), array([0.12 , 0.12 , 0.14985244, 0.13068095, 0.12986983,\n", - " 0.14643419, 0.14705188, 0.13385677, 0.14710384, 0.52638193,\n", - " 0.13398222, 0.13261768, 0.13299418, 0.13331778, 0.14727313,\n", - " 0.92685885, 0.90489835, 0.90359677, 0.13692333, 0.92705395,\n", - " 0.93374083, 0.92716681, 0.83979452, 0.25696113, 0.92414431,\n", - " 0.92705011, 1.01683607, 0.92717406, 0.99951648, 0.92659009,\n", - " 0.13988106, 0.99476726, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.92717591]), array([0.12 , 0.12 , 0.14985244, 0.13068095, 0.12139318,\n", - " 0.14643419, 0.14695481, 0.13385677, 0.14702205, 0.52638193,\n", - " 0.14080464, 0.1341597 , 0.13347807, 0.13339278, 0.13335559,\n", - " 0.92685885, 0.92697844, 0.90359677, 0.14480321, 0.92705395,\n", - " 0.93373847, 0.92716423, 0.57337197, 0.14500712, 0.84555118,\n", - " 0.92700827, 1.01683607, 0.92716498, 0.99951648, 0.92659009,\n", - " 0.14035912, 0.99476726, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.92714852]), array([0.12 , 0.12 , 0.14985244, 0.13068095, 0.12139313,\n", - " 0.13225389, 0.14695481, 0.13385677, 0.14698514, 0.52638193,\n", - " 0.14703155, 0.1341597 , 0.13376106, 0.1335651 , 0.1334612 ,\n", - " 0.92685885, 0.92696911, 0.90359677, 0.6382968 , 0.92705395,\n", - " 0.93373616, 0.9271617 , 0.28074112, 0.13341307, 0.59155464,\n", - " 0.92697023, 1.01683607, 0.92715432, 0.99951648, 0.92659009,\n", - " 0.14035912, 0.99476726, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.92693932]), array([0.12 , 0.12 , 0.14985244, 0.14717136, 0.12139313,\n", - " 0.12337819, 0.14695481, 0.13385677, 0.14696849, 0.52638193,\n", - " 0.14700611, 0.1341597 , 0.13392656, 0.13373424, 0.13359884,\n", - " 0.92685885, 0.92696084, 0.90359677, 0.92561579, 0.92705395,\n", - " 0.93373391, 0.92715924, 0.15407537, 0.13351419, 0.30071243,\n", - " 0.92693566, 1.02108871, 0.92714235, 0.99951648, 0.92659009,\n", - " 0.14156462, 0.99476726, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.92629675]), array([0.12 , 0.12 , 0.14253859, 0.14895144, 0.12139313,\n", - " 0.12278769, 0.14695481, 0.13385677, 0.14696098, 0.52638193,\n", - " 0.1469879 , 0.1341597 , 0.13402336, 0.13386952, 0.13373529,\n", - " 0.88577548, 0.92696084, 0.90359677, 0.92706302, 0.92705395,\n", - " 0.93373171, 0.92715683, 0.134451 , 0.13363453, 0.16271999,\n", - " 0.92690423, 1.03309721, 0.92712931, 0.99951648, 0.92659009,\n", - " 0.14186762, 0.99476726, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.92521593]), array([0.12 , 0.12 , 0.12721195, 0.14895144, 0.12139313,\n", - " 0.12237285, 0.14695481, 0.13385677, 0.14695759, 0.52638193,\n", - " 0.14697567, 0.1341597 , 0.13407996, 0.13396799, 0.13385259,\n", - " 0.63437236, 0.92696084, 0.90359677, 0.92706302, 0.92705395,\n", - " 0.93372956, 0.92715448, 0.1335961 , 0.13375322, 0.13539204,\n", - " 0.92687566, 1.03309721, 0.92711542, 0.99951648, 0.92659009,\n", - " 0.1421728 , 0.99476726, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.923941 ]), array([0.1 , 0.12 , 0.12 , 0.14895144, 0.12140964,\n", - " 0.12208543, 0.14695481, 0.13385677, 0.14695606, 0.52638193,\n", - " 0.14696771, 0.14308304, 0.13785593, 0.13580473, 0.13484506,\n", - " 0.30682585, 0.92693284, 0.9035926 , 0.92706302, 0.92705395,\n", - " 0.93372758, 0.92715232, 0.13385374, 0.13436127, 0.13393899,\n", - " 0.9268512 , 1.03309721, 0.92710183, 0.99951648, 0.92659009,\n", - " 0.1374259 , 0.99476726, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.9225273 ]), array([0.1 , 0.12 , 0.12 , 0.14895144, 0.12140964,\n", - " 0.12188377, 0.13225849, 0.13385677, 0.1442513 , 0.52638193,\n", - " 0.14586555, 0.14677867, 0.1415982 , 0.13854168, 0.1367236 ,\n", - " 0.15496358, 0.92693284, 0.9035926 , 0.92706302, 0.92705395,\n", - " 0.93372566, 0.92715021, 0.13446759, 0.13567687, 0.13420221,\n", - " 0.92682883, 1.03309721, 0.92708778, 0.99951648, 0.92659009,\n", - " 0.1374259 , 0.99476726, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.92111829]), array([0.1 , 0.12 , 0.12 , 0.14895144, 0.12140964,\n", - " 0.12174229, 0.12374755, 0.13385677, 0.12757178, 0.52638193,\n", - " 0.14586555, 0.14660462, 0.14369794, 0.1409776 , 0.13888096,\n", - " 0.1357809 , 0.92693284, 0.9035926 , 0.92706302, 0.92705395,\n", - " 0.93372377, 0.92714815, 0.13547557, 0.13746125, 0.13483629,\n", - " 0.92680838, 1.03309721, 0.92707341, 0.99951648, 0.92659009,\n", - " 0.1374259 , 0.90714857, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.91971478]), array([0.1 , 0.12 , 0.12 , 0.14895144, 0.12140964,\n", - " 0.12164303, 0.1234154 , 0.13385677, 0.12528299, 0.52638193,\n", - " 0.13545867, 0.14660462, 0.14491702, 0.14283866, 0.14088183,\n", - " 0.1366881 , 0.92693284, 0.9035926 , 0.92706302, 0.92705395,\n", - " 0.93372192, 0.92714613, 0.13678555, 0.13936619, 0.13580694,\n", - " 0.92678968, 1.03309721, 0.92705881, 0.99951648, 0.92659009,\n", - " 0.1374259 , 0.89564992, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.91831746]), array([0.1 , 0.10828666, 0.12 , 0.14895144, 0.12140964,\n", - " 0.12157339, 0.12312468, 0.13385677, 0.12409447, 0.52638193,\n", - " 0.12548082, 0.14660462, 0.14562482, 0.1441549 , 0.14252894,\n", - " 0.1375755 , 0.92693284, 0.9035926 , 0.92706302, 0.92705395,\n", - " 0.93372012, 0.92714415, 0.13824752, 0.14112755, 0.13702225,\n", - " 0.92677258, 1.03309721, 0.92704409, 0.99951648, 0.92659009,\n", - " 0.1374259 , 0.81582946, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.91692685]), array([0.1 , 0.1 , 0.12 , 0.14895144, 0.11839735,\n", - " 0.12062566, 0.12273027, 0.13385677, 0.12334325, 0.52638193,\n", - " 0.12461352, 0.14660462, 0.14603575, 0.14504345, 0.14378558,\n", - " 0.13841558, 0.91106549, 0.9035926 , 0.92706302, 0.92705395,\n", - " 0.93371835, 0.92714222, 0.13971565, 0.14260782, 0.13836345,\n", - " 0.92675695, 1.03309721, 0.92702931, 0.99951648, 0.92659009,\n", - " 0.1374259 , 0.73460469, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.91554328]), array([0.1 , 0.1 , 0.12 , 0.12354365, 0.10635116,\n", - " 0.12062566, 0.12239811, 0.13385677, 0.12282279, 0.52638193,\n", - " 0.12388694, 0.14660462, 0.14627434, 0.14562495, 0.14469524,\n", - " 0.13919594, 0.77675746, 0.9035926 , 0.92706302, 0.92705395,\n", - " 0.93371662, 0.92714032, 0.14108087, 0.14377032, 0.13971662,\n", - " 0.92674266, 1.03309721, 0.92701457, 0.99951648, 0.92659009,\n", - " 0.1374259 , 0.7305027 , 0.99983082, 1.00030477, 0.99949038,\n", - " 0.91416687]), array([0.1 , 0.1 , 0.12 , 0.12078491, 0.1055229 ,\n", - " 0.12062566, 0.12211837, 0.13385677, 0.12243488, 0.52638193,\n", - " 0.12329778, 0.13148657, 0.14627434, 0.14593173, 0.14529562,\n", - " 0.13989881, 0.47657755, 0.9035926 , 0.92706302, 0.92705395,\n", - " 0.93371493, 0.92713847, 0.14227243, 0.14461977, 0.14098931,\n", - " 0.92672959, 1.03309721, 0.92699991, 0.99951648, 0.92659009,\n", - " 0.1374259 , 0.69637222, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.91279759]), array([0.1 , 0.1 , 0.12 , 0.12068785, 0.10499244,\n", - " 0.11089165, 0.12211837, 0.13385677, 0.12226059, 0.55269384,\n", - " 0.12287695, 0.12584788, 0.13543383, 0.14593173, 0.1455888 ,\n", - " 0.13945545, 0.23366654, 0.9035926 , 0.92706302, 0.92705395,\n", - " 0.93371327, 0.92713666, 0.14324449, 0.14515943, 0.1421123 ,\n", - " 0.92671764, 1.01933655, 0.92698538, 0.99951648, 0.92659009,\n", - " 0.1374259 , 0.69637222, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.91143525]), array([0.1 , 0.1 , 0.12 , 0.12060279, 0.10465272,\n", - " 0.10533288, 0.12211837, 0.13385677, 0.12218227, 0.55514254,\n", - " 0.12259509, 0.12522786, 0.12722473, 0.13303426, 0.1450158 ,\n", - " 0.13945545, 0.14693989, 0.9035926 , 0.92706302, 0.92705395,\n", - " 0.93371165, 0.92713488, 0.14386233, 0.14507944, 0.14298374,\n", - " 0.92670671, 0.99454817, 0.92697105, 0.99951648, 0.92659009,\n", - " 0.1374259 , 0.69637222, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.91007948]), array([0.1 , 0.1 , 0.11249474, 0.11960019, 0.10443515,\n", - " 0.105065 , 0.12211837, 0.13385677, 0.12214708, 0.56253371,\n", - " 0.12241331, 0.12469137, 0.12616222, 0.12888825, 0.1309266 ,\n", - " 0.13945545, 0.13844289, 0.9035926 , 0.92706302, 0.92705395,\n", - " 0.93371007, 0.92713315, 0.14329826, 0.14218706, 0.14314036,\n", - " 0.92669672, 0.99454817, 0.92695693, 0.99951648, 0.92659009,\n", - " 0.6294465 , 0.69637222, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.90872942]), array([0.1 , 0.1 , 0.10102807, 0.11960019, 0.1050132 ,\n", - " 0.10504954, 0.12211837, 0.13385677, 0.12213127, 0.59091678,\n", - " 0.12229887, 0.12423533, 0.12535407, 0.12721863, 0.12904603,\n", - " 0.13945545, 0.13856176, 0.9035926 , 0.92706302, 0.92705395,\n", - " 0.93370852, 0.92713145, 0.14329826, 0.1298793 , 0.14321899,\n", - " 0.92668759, 0.99454817, 0.92694308, 0.99951648, 0.92659009,\n", - " 0.92697128, 0.69637222, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.90738457]), array([0.08 , 0.1 , 0.10089445, 0.11960019, 0.10690315,\n", - " 0.10560999, 0.12211837, 0.13385677, 0.12212406, 0.59091678,\n", - " 0.12222628, 0.1238332 , 0.12468959, 0.12597256, 0.1523737 ,\n", - " 0.13945545, 0.13868025, 0.90355336, 0.92706302, 0.92705395,\n", - " 0.93370744, 0.92713026, 0.14137092, 0.13761556, 0.14219934,\n", - " 0.92668152, 0.99454817, 0.92693339, 0.99951648, 0.92659009,\n", - " 0.92697868, 0.69637222, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.90562069]), array([0.08 , 0.1 , 0.1007782 , 0.11960019, 0.10684631,\n", - " 0.1059838 , 0.11117987, 0.13385677, 0.11983505, 0.61376587,\n", - " 0.12123333, 0.1233128 , 0.12408806, 0.12504406, 0.1781941 ,\n", - " 0.13945545, 0.13878303, 0.90355336, 0.92706302, 0.92705395,\n", - " 0.93370637, 0.9271291 , 0.1341443 , 0.16125384, 0.13775509,\n", - " 0.92667583, 0.99454817, 0.92692386, 0.99951648, 0.92659009,\n", - " 0.92698549, 0.69637222, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.90385803]), array([0.08 , 0.1 , 0.10067705, 0.11960019, 0.10681 ,\n", - " 0.10623361, 0.10630475, 0.13385677, 0.10845763, 0.63454642,\n", - " 0.12123333, 0.12289657, 0.12356749, 0.12431655, 0.17728607,\n", - " 0.13945545, 0.13887218, 0.90355336, 0.92706302, 0.92705395,\n", - " 0.93370532, 0.92712795, 0.14489735, 0.1776458 , 0.14169573,\n", - " 0.92667583, 0.99454817, 0.92691468, 0.99951648, 0.87485202,\n", - " 0.92699174, 0.69637222, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.90210664]), array([0.08 , 0.1 , 0.10058906, 0.11960019, 0.1067868 ,\n", - " 0.10640087, 0.1063202 , 0.13385677, 0.1072641 , 0.63454642,\n", - " 0.11331948, 0.1209796 , 0.12243683, 0.1233904 , 0.17640094,\n", - " 0.13945545, 0.13894951, 0.90355336, 0.92706302, 0.92705395,\n", - " 0.93370429, 0.92712682, 0.16760666, 0.17689411, 0.14655495,\n", - " 0.92667583, 0.99454817, 0.92690584, 0.99951648, 0.8121289 ,\n", - " 0.9269975 , 0.69637222, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.90037147]), array([0.08 , 0.08828666, 0.10058906, 0.11960019, 0.1067868 ,\n", - " 0.10651756, 0.10635191, 0.13385677, 0.10675474, 0.63454642,\n", - " 0.10740155, 0.1209796 , 0.12180015, 0.12260688, 0.17559875,\n", - " 0.13945545, 0.13901659, 0.90355336, 0.92706302, 0.92191381,\n", - " 0.93363122, 0.92704708, 0.17682513, 0.17611192, 0.17269281,\n", - " 0.92667583, 0.99454817, 0.92689732, 0.99951648, 0.59155464,\n", - " 0.92700279, 0.69637222, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.89867114]), array([0.08 , 0.08 , 0.10058906, 0.11775001, 0.10361223,\n", - " 0.10563911, 0.10623737, 0.13385677, 0.10646584, 0.67125355,\n", - " 0.107013 , 0.1209796 , 0.12144165, 0.12203276, 0.17494086,\n", - " 0.13770123, 0.1388422 , 0.90355336, 0.92706302, 0.88133786,\n", - " 0.93363122, 0.92704708, 0.17627955, 0.17540479, 0.17467174,\n", - " 0.92667583, 0.99454817, 0.92688912, 0.99951648, 0.40985497,\n", - " 0.92700765, 0.69637222, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.89701892]), array([0.08 , 0.08 , 0.10058906, 0.10071533, 0.09179343,\n", - " 0.10563911, 0.10614123, 0.13385677, 0.10628458, 0.677606 ,\n", - " 0.10671052, 0.1209796 , 0.12123977, 0.12164205, 0.17444204,\n", - " 0.12377461, 0.1388422 , 0.90355336, 0.92706302, 0.7163054 ,\n", - " 0.93363122, 0.92704708, 0.17572023, 0.17482345, 0.17525023,\n", - " 0.92667583, 0.99454817, 0.92688123, 0.99951648, 0.28444493,\n", - " 0.92701212, 0.69637222, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.89537609]), array([0.08 , 0.08 , 0.10058906, 0.10069929, 0.09096967,\n", - " 0.10563911, 0.10606054, 0.13385677, 0.10615947, 0.677606 ,\n", - " 0.1064817 , 0.12092253, 0.12110117, 0.12137556, 0.17407895,\n", - " 0.12350166, 0.1388422 , 0.90355336, 0.92706302, 0.5763989 ,\n", - " 0.93363122, 0.92704708, 0.17520308, 0.1743739 , 0.17522421,\n", - " 0.92667583, 0.99454817, 0.92687362, 0.99951648, 0.16271999,\n", - " 0.92701623, 0.69637222, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.89374137]), array([0.08 , 0.08 , 0.10058906, 0.10068529, 0.08698175,\n", - " 0.09474787, 0.10606054, 0.13385677, 0.10610423, 0.68043038,\n", - " 0.10632496, 0.10678625, 0.12110117, 0.12124036, 0.17384455,\n", - " 0.12325658, 0.1388422 , 0.90355336, 0.92706302, 0.28045219,\n", - " 0.93363122, 0.92704708, 0.17476179, 0.17405426, 0.17496908,\n", - " 0.92667583, 0.99454817, 0.9268663 , 0.99951648, 0.14834639,\n", - " 0.92702 , 0.69637222, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.89211392]), array([0.08 , 0.08 , 0.10058906, 0.10067306, 0.08613205,\n", - " 0.08877117, 0.10606054, 0.13385677, 0.10607983, 0.69318967,\n", - " 0.10622317, 0.10667354, 0.11088062, 0.12124036, 0.17373758,\n", - " 0.12325658, 0.1388422 , 0.90355336, 0.92706302, 0.20176145,\n", - " 0.93363122, 0.92704708, 0.17441656, 0.17386304, 0.17466423,\n", - " 0.92667583, 0.99454817, 0.92685925, 0.99951648, 0.13919673,\n", - " 0.92702347, 0.69637222, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.89049335]), array([0.08 , 0.08 , 0.09465141, 0.09990807, 0.08591735,\n", - " 0.0879083 , 0.10606054, 0.13385677, 0.10606906, 0.69318967,\n", - " 0.10615917, 0.10657059, 0.10666029, 0.10913969, 0.17190521,\n", - " 0.12325658, 0.1388422 , 0.90355336, 0.92706302, 0.14669942,\n", - " 0.93363122, 0.92704708, 0.17374983, 0.17268083, 0.17415973,\n", - " 0.92667583, 0.99454817, 0.92685246, 0.99951648, 0.13919673,\n", - " 0.92702667, 0.69637222, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.88887919]), array([0.08 , 0.08 , 0.08102995, 0.09990807, 0.0857802 ,\n", - " 0.08726486, 0.10606054, 0.13385677, 0.1060643 , 0.69318967,\n", - " 0.10611978, 0.10648035, 0.10658168, 0.10769203, 0.16159813,\n", - " 0.12325658, 0.1388422 , 0.90355336, 0.92706302, 0.13804837,\n", - " 0.93363122, 0.92704708, 0.17187511, 0.16886928, 0.17289922,\n", - " 0.92667583, 0.99454817, 0.92684592, 0.99951648, 0.13919673,\n", - " 0.9270296 , 0.69637222, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.88727017]), array([0.11 , 0.08 , 0.08089526, 0.09990807, 0.08556538,\n", - " 0.08675436, 0.10606054, 0.13385677, 0.10606221, 0.69318967,\n", - " 0.10609615, 0.10640527, 0.10650612, 0.10711997, 0.14011685,\n", - " 0.12325658, 0.13224712, 0.90357567, 0.92706302, 0.13804837,\n", - " 0.93363122, 0.92704708, 0.17187511, 0.15556509, 0.17236016,\n", - " 0.92667583, 0.99454817, 0.92683839, 0.99951648, 0.13919673,\n", - " 0.9270321 , 0.69637222, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.88585904]), array([0.11 , 0.08 , 0.08077819, 0.09990807, 0.08550926,\n", - " 0.08638035, 0.09275291, 0.13385677, 0.10344312, 0.69318967,\n", - " 0.10500699, 0.10613202, 0.1063459 , 0.10674658, 0.1396325 ,\n", - " 0.12325658, 0.12335259, 0.90357567, 0.92706302, 0.13804837,\n", - " 0.93363122, 0.92704708, 0.16808876, 0.13983511, 0.17011183,\n", - " 0.92667583, 0.99454817, 0.92683119, 0.99951648, 0.13919673,\n", - " 0.92703441, 0.69637222, 0.99983082, 1.00030477, 0.99949038,\n", - " 0.88445029]), array([0.11 , 0.08 , 0.08067642, 0.09990807, 0.08547338,\n", - " 0.08610791, 0.08824107, 0.13385677, 0.0902508 , 0.69318967,\n", - " 0.10500699, 0.10591217, 0.10616014, 0.10646369, 0.1392604 ,\n", - " 0.12325658, 0.12334047, 0.90357567, 0.92706302, 0.13804837,\n", - " 0.93363122, 0.92704708, 0.15187459, 0.13950081, 0.16828464,\n", - " 0.92667583, 0.99454817, 0.92682431, 0.99951648, 0.13919673,\n", - " 0.92703656, 0.69637222, 0.99983082, 0.98673932, 0.99949038,\n", - " 0.88304366]), array([0.11 , 0.08 , 0.08058796, 0.09990807, 0.08545042,\n", - " 0.08591041, 0.08786988, 0.13385677, 0.08893042, 0.69318967,\n", - " 0.09630989, 0.10403574, 0.10525028, 0.10587837, 0.13878797,\n", - " 0.12325658, 0.12332988, 0.90357567, 0.86460193, 0.13804837,\n", - " 0.93363122, 0.92704708, 0.13945776, 0.13908617, 0.15063055,\n", - " 0.92667583, 0.99454817, 0.92681773, 0.99951648, 0.13919673,\n", - " 0.92703656, 0.69637222, 0.99983082, 0.91108946, 0.99949038,\n", - " 0.88163008]), array([0.11 , 0.09757001, 0.08058796, 0.09990807, 0.08545042,\n", - " 0.08577224, 0.08753579, 0.13385677, 0.08815701, 0.69318967,\n", - " 0.08900207, 0.10403574, 0.1047301 , 0.10532447, 0.13828411,\n", - " 0.12325658, 0.12332063, 0.90357567, 0.57795493, 0.13804837,\n", - " 0.93363122, 0.92704708, 0.13915495, 0.13861962, 0.13929837,\n", - " 0.88512811, 0.99454817, 0.92681773, 0.99951648, 0.13919673,\n", - " 0.92703656, 0.69637222, 0.99983082, 0.82724652, 0.99949038,\n", - " 0.88019013]), array([0.11 , 0.11 , 0.08058796, 0.09917608, 0.08886398,\n", - " 0.08670095, 0.08740283, 0.13385677, 0.08773877, 0.69318967,\n", - " 0.08848344, 0.10403574, 0.10443271, 0.1048943 , 0.13782813,\n", - " 0.12055208, 0.12297117, 0.90357567, 0.27210535, 0.13804837,\n", - " 0.93363122, 0.92704708, 0.1387952 , 0.13815922, 0.13903352,\n", - " 0.78241642, 0.97364397, 0.92681773, 0.99951648, 0.13919673,\n", - " 0.92703656, 0.70599241, 0.99983082, 0.7260746 , 0.99949038,\n", - " 0.87874082]), array([0.11 , 0.11 , 0.08058796, 0.08071697, 0.10302634,\n", - " 0.08670095, 0.08729105, 0.13385677, 0.08749048, 0.69318967,\n", - " 0.0880758 , 0.10403574, 0.10426269, 0.10458963, 0.13745836,\n", - " 0.10618189, 0.12297117, 0.90357567, 0.15035286, 0.13804837,\n", - " 0.93363122, 0.92704708, 0.13841814, 0.13775155, 0.1387096 ,\n", - " 0.53466906, 0.96961073, 0.92681773, 0.99951648, 0.13919673,\n", - " 0.92703656, 0.77851972, 0.99983082, 0.68307335, 0.99949038,\n", - " 0.87729667]), array([0.11 , 0.11 , 0.08058796, 0.0807008 , 0.11135485,\n", - " 0.08670095, 0.08719706, 0.13385677, 0.08732776, 0.69318967,\n", - " 0.0877687 , 0.10403574, 0.10416549, 0.10438503, 0.13718005,\n", - " 0.10597744, 0.12297117, 0.90357567, 0.1387868 , 0.13804837,\n", - " 0.93363122, 0.92704708, 0.1380572 , 0.13741912, 0.1383662 ,\n", - " 0.34921554, 0.9690231 , 0.92681773, 0.99951648, 0.13919673,\n", - " 0.92703656, 0.85080458, 0.99983082, 0.66109173, 0.99949038,\n", - " 0.87585754]), array([0.11 , 0.11 , 0.08058796, 0.08068665, 0.1086846 ,\n", - " 0.10078197, 0.08719706, 0.13385677, 0.08725528, 0.7061611 ,\n", - " 0.08755792, 0.09003769, 0.10416549, 0.10427913, 0.13699494,\n", - " 0.10579373, 0.12297117, 0.90357567, 0.1387868 , 0.13804837,\n", - " 0.93363122, 0.92704708, 0.13773752, 0.13717238, 0.13803528,\n", - " 0.20483878, 0.95588466, 0.92681773, 0.99951648, 0.13919673,\n", - " 0.92703656, 0.87393893, 0.99983082, 0.63731063, 0.99949038,\n", - " 0.87442338]), array([0.11 , 0.11 , 0.08058796, 0.08067428, 0.10866376,\n", - " 0.10798152, 0.08719706, 0.13385677, 0.08722299, 0.71016835,\n", - " 0.08742042, 0.08802963, 0.09410071, 0.10427913, 0.13690753,\n", - " 0.10579373, 0.12297117, 0.90357567, 0.1387868 , 0.13804837,\n", - " 0.93363122, 0.92704708, 0.13747768, 0.13701832, 0.13774178,\n", - " 0.14379635, 0.95588466, 0.92681773, 0.99951648, 0.13919673,\n", - " 0.92703656, 0.93731076, 0.99983082, 0.59910784, 0.99949038,\n", - " 0.87299419]), array([0.11 , 0.11 , 0.08658412, 0.08141512, 0.10866376,\n", - " 0.10818645, 0.08719706, 0.13385677, 0.08720861, 0.71016835,\n", - " 0.08733347, 0.08789359, 0.08854538, 0.09226959, 0.13568432,\n", - " 0.10579373, 0.12297117, 0.90357567, 0.1387868 , 0.13804837,\n", - " 0.93363122, 0.92704708, 0.13703137, 0.13624236, 0.13736784,\n", - " 0.13972439, 0.95030598, 0.92681773, 0.99951648, 0.13919673,\n", - " 0.92703656, 1.00053611, 0.99983082, 0.56707556, 0.99949038,\n", - " 0.87156987]), array([0.11 , 0.11 , 0.10195889, 0.08141512, 0.10866376,\n", - " 0.10832983, 0.08719706, 0.13385677, 0.08720221, 0.80118896,\n", - " 0.08727958, 0.0877736 , 0.08821483, 0.08982371, 0.12405498,\n", - " 0.10579373, 0.12297117, 0.90357567, 0.1387868 , 0.13804837,\n", - " 0.93363122, 0.92704708, 0.13550967, 0.13281952, 0.13638976,\n", - " 0.13968529, 0.93333144, 0.92681773, 0.99951648, 0.13919673,\n", - " 0.92703656, 1.00053611, 0.99983082, 0.55684547, 0.99949038,\n", - " 0.87014965]), array([0.09 , 0.11 , 0.11 , 0.08141512, 0.10870769,\n", - " 0.10844059, 0.08719706, 0.13385677, 0.08719941, 0.81964451,\n", - " 0.08724761, 0.08767601, 0.08799346, 0.08897532, 0.08997612,\n", - " 0.10579373, 0.12298211, 0.26843095, 0.1387868 , 0.13804837,\n", - " 0.93363122, 0.92704708, 0.13550967, 0.11878691, 0.13596601,\n", - " 0.13964233, 0.93333144, 0.92681773, 0.99951648, 0.13919673,\n", - " 0.92703617, 1.00053611, 0.99983082, 0.55132017, 0.99949038,\n", - " 0.86902075]), array([0.09 , 0.11 , 0.11 , 0.08141512, 0.10870769,\n", - " 0.10851888, 0.10054876, 0.13385677, 0.08935049, 0.87142986,\n", - " 0.0880861 , 0.0877521 , 0.0878943 , 0.08847423, 0.08922453,\n", - " 0.10579373, 0.10829317, 0.13721974, 0.1387868 , 0.13804837,\n", - " 0.93363122, 0.92704708, 0.13550967, 0.08956885, 0.13574629,\n", - " 0.13960314, 0.90271706, 0.92681773, 0.99951648, 0.13919673,\n", - " 0.92703617, 1.00053611, 0.99983082, 0.54039369, 0.99949038,\n", - " 0.8678948 ]), array([0.09 , 0.11 , 0.11 , 0.08141512, 0.10870769,\n", - " 0.10857422, 0.10726202, 0.13385677, 0.10419953, 0.94830365,\n", - " 0.0880861 , 0.08781407, 0.08786134, 0.08819013, 0.08870688,\n", - " 0.10579373, 0.10728176, 0.13721974, 0.1387868 , 0.13804837,\n", - " 0.93363122, 0.92704708, 0.12044993, 0.08910176, 0.13574629,\n", - " 0.13956741, 0.89050132, 0.92681773, 0.99951648, 0.13919673,\n", - " 0.92703617, 1.00053611, 0.99983082, 0.52682396, 0.99949038,\n", - " 0.86677206]), array([0.09 , 0.11 , 0.11 , 0.08141512, 0.10870769,\n", - " 0.10861334, 0.10747069, 0.13385677, 0.10597844, 0.94830365,\n", - " 0.0964524 , 0.08941682, 0.08850039, 0.08833395, 0.08852025,\n", - " 0.10579373, 0.10727505, 0.13721974, 0.1387868 , 0.13804837,\n", - " 0.93363122, 0.92704708, 0.09209948, 0.08878665, 0.12162649,\n", - " 0.13956741, 0.92283429, 0.92681773, 0.99951648, 0.1729252 ,\n", - " 0.92703617, 1.00053611, 0.99983082, 0.51282358, 0.99949038,\n", - " 0.86564907]), array([0.09 , 0.10024858, 0.10873873, 0.08141512, 0.10570505,\n", - " 0.10776088, 0.10751551, 0.13385677, 0.10681432, 0.99932265,\n", - " 0.10577693, 0.08941682, 0.08887689, 0.08858562, 0.08855297,\n", - " 0.10579373, 0.10726908, 0.2690421 , 0.1387868 , 0.13804837,\n", - " 0.93363122, 0.92704708, 0.08899355, 0.08866002, 0.09284662,\n", - " 0.13956741, 0.97255813, 0.92681773, 0.99951648, 0.17305114,\n", - " 0.86735522, 1.00053611, 0.99983082, 0.47619448, 0.99949038,\n", - " 0.86450397]), array([0.09 , 0.09 , 0.10873873, 0.08141512, 0.10570505,\n", - " 0.10715829, 0.10746034, 0.13385677, 0.10716564, 0.99969569,\n", - " 0.10633065, 0.08941682, 0.08909871, 0.08882346, 0.08868833,\n", - " 0.10579373, 0.10726378, 0.88267449, 0.1387868 , 0.13804837,\n", - " 0.93363122, 0.92704708, 0.08889089, 0.08867536, 0.08974936,\n", - " 0.13956741, 0.97460406, 0.92681773, 0.99951648, 0.17305114,\n", - " 0.64716041, 1.00053611, 0.99983082, 0.44259719, 0.99949038,\n", - " 0.86332327]), array([0.09 , 0.09 , 0.10873873, 0.10195025, 0.1031606 ,\n", - " 0.10598651, 0.10723276, 0.13385677, 0.10720214, 0.99969569,\n", - " 0.10667814, 0.08941682, 0.0892294 , 0.08901163, 0.08885012,\n", - " 0.09263535, 0.10726378, 0.92709424, 0.1387868 , 0.12642887,\n", - " 0.93363122, 0.92704708, 0.08885191, 0.08877006, 0.08931725,\n", - " 0.13956741, 1.00047879, 0.92681773, 0.99951648, 0.17305114,\n", - " 0.41075599, 1.00053611, 0.99983082, 0.41690754, 0.99949038,\n", - " 0.86214464]), array([0.09 , 0.09 , 0.10873873, 0.10851634, 0.09132205,\n", - " 0.10598651, 0.10704031, 0.13385677, 0.10711413, 0.99969569,\n", - " 0.10685199, 0.08941682, 0.0893064 , 0.08914827, 0.08899932,\n", - " 0.08907802, 0.10726378, 0.86869867, 0.1387868 , 0.12342186,\n", - " 0.93363122, 0.92704708, 0.08886558, 0.08889429, 0.08909978,\n", - " 0.13956741, 1.00047879, 0.92681773, 0.99951648, 0.17305114,\n", - " 0.23967728, 1.00053611, 0.99983082, 0.40454409, 0.99949038,\n", - " 0.86096873]), array([0.09 , 0.09 , 0.10873873, 0.10854318, 0.09070018,\n", - " 0.10598651, 0.10687758, 0.13385677, 0.10698549, 0.99969569,\n", - " 0.10690522, 0.099848 , 0.0893064 , 0.08922157, 0.08911054,\n", - " 0.08909999, 0.10726378, 0.83982219, 0.1387868 , 0.12342186,\n", - " 0.93363122, 0.92704708, 0.08891265, 0.08901147, 0.08900968,\n", - " 0.13956741, 1.00047879, 0.92681773, 0.99951648, 0.17305114,\n", - " 0.16425368, 1.00053611, 0.99983082, 0.40454409, 0.99949038,\n", - " 0.85979592]), array([0.09 , 0.09 , 0.10873873, 0.10856678, 0.08884538,\n", - " 0.09675101, 0.10687758, 0.13385677, 0.10692681, 0.99969569,\n", - " 0.10691383, 0.10658377, 0.0971786 , 0.09290995, 0.09101189,\n", - " 0.08987725, 0.10726378, 0.83486955, 0.1387868 , 0.12342186,\n", - " 0.93363122, 0.92704708, 0.08929427, 0.09009546, 0.08914671,\n", - " 0.13956741, 1.00047879, 0.92681773, 0.99951648, 0.17305114,\n", - " 0.15506121, 1.00053611, 0.99983082, 0.40454409, 0.99949038,\n", - " 0.85862657]), array([0.09 , 0.09 , 0.10873873, 0.10858754, 0.08884538,\n", - " 0.089866 , 0.10687758, 0.13385677, 0.10690004, 0.99969569,\n", - " 0.10690833, 0.10664399, 0.10462429, 0.09290995, 0.09196174,\n", - " 0.08987725, 0.10726378, 0.83486955, 0.1387868 , 0.12342186,\n", - " 0.93363122, 0.92704708, 0.08987905, 0.09110677, 0.08949932,\n", - " 0.13956741, 1.00047879, 0.92681773, 0.99951648, 0.17305114,\n", - " 0.15506121, 1.00053611, 0.99983082, 0.40454409, 0.99949038,\n", - " 0.857461 ]), array([0.09 , 0.09 , 0.10370608, 0.10799839, 0.08884538,\n", - " 0.08956684, 0.10687758, 0.13385677, 0.10688783, 0.99969569,\n", - " 0.10690016, 0.10669152, 0.10547359, 0.10313915, 0.09198105,\n", - " 0.08987725, 0.10726378, 0.83486955, 0.13197088, 0.12342186,\n", - " 0.93363122, 0.92704708, 0.09042801, 0.09158052, 0.08994647,\n", - " 0.13956741, 1.00047879, 0.89655304, 0.99951648, 0.14851692,\n", - " 0.15463862, 1.00053611, 0.99983082, 0.40454409, 0.99949038,\n", - " 0.85629945]), array([0.09 , 0.09 , 0.09 , 0.10799839, 0.08883147,\n", - " 0.0893506 , 0.10687758, 0.13385677, 0.10688224, 0.99969569,\n", - " 0.10689297, 0.10672936, 0.10599491, 0.10549175, 0.10418894,\n", - " 0.08987725, 0.10583985, 0.86445124, 0.12310064, 0.12342186,\n", - " 0.93363122, 0.92704708, 0.09164535, 0.09406357, 0.0907892 ,\n", - " 0.13956741, 1.00047879, 0.7938797 , 0.99951648, 0.13740268,\n", - " 0.1383553 , 1.00053611, 0.99983082, 0.40454409, 0.99949038,\n", - " 0.85505006]), array([0.09 , 0.09 , 0.09 , 0.10799839, 0.08883147,\n", - " 0.08919795, 0.10687758, 0.13385677, 0.1068797 , 0.99969569,\n", - " 0.10688765, 0.10675909, 0.10631215, 0.10587578, 0.10496431,\n", - " 0.08987725, 0.104058 , 0.85803501, 0.12310064, 0.12342186,\n", - " 0.93363122, 0.92704708, 0.09164535, 0.10461897, 0.09121389,\n", - " 0.15733269, 1.00047879, 0.51427767, 0.99951648, 0.13740268,\n", - " 0.1383553 , 1.00053611, 0.99983082, 0.40731425, 0.99949038,\n", - " 0.85380557]), array([0.09 , 0.09 , 0.09 , 0.10799839, 0.08883147,\n", - " 0.08909018, 0.09815536, 0.13385677, 0.10211885, 0.99969569,\n", - " 0.10497521, 0.10642405, 0.1063586 , 0.10610179, 0.10545941,\n", - " 0.08987725, 0.09000611, 0.90743589, 0.12310064, 0.10952131,\n", - " 0.93363122, 0.92704708, 0.09182373, 0.10508509, 0.0915164 ,\n", - " 0.1730354 , 1.00047879, 0.31720333, 0.99951648, 0.13740268,\n", - " 0.1383553 , 1.00053611, 0.99983082, 0.41413911, 0.99949038,\n", - " 0.85256577]), array([0.09 , 0.09 , 0.09 , 0.10799839, 0.08883147,\n", - " 0.08901411, 0.09038226, 0.13385677, 0.10015318, 0.99969569,\n", - " 0.10304143, 0.10578874, 0.10612203, 0.10611126, 0.10570771,\n", - " 0.08987725, 0.08999111, 0.92461113, 0.12310064, 0.10582575,\n", - " 0.93363122, 0.92704708, 0.10504569, 0.1054304 , 0.0915164 ,\n", - " 0.1730354 , 1.00047879, 0.18319705, 0.99951648, 0.13740268,\n", - " 0.1383553 , 1.00053611, 0.99983082, 0.41413911, 0.99949038,\n", - " 0.85133027]), array([0.09 , 0.09 , 0.09 , 0.10799839, 0.08883147,\n", - " 0.0889604 , 0.09016173, 0.13385677, 0.09026192, 0.99969569,\n", - " 0.10304143, 0.10527275, 0.10576945, 0.10595126, 0.10574935,\n", - " 0.08987725, 0.08997787, 0.92461113, 0.12310064, 0.10582575,\n", - " 0.93363122, 0.92704708, 0.10523374, 0.1056073 , 0.10492287,\n", - " 0.1730354 , 1.00047879, 0.13981699, 0.99951648, 0.13740268,\n", - " 0.1383553 , 1.00053611, 0.99983082, 0.41283011, 0.99949038,\n", - " 0.85010383]), array([0.09 , 0.09 , 0.09 , 0.10799839, 0.08883147,\n", - " 0.08892249, 0.08996953, 0.13385677, 0.09010236, 0.99969569,\n", - " 0.09652914, 0.10363056, 0.10488151, 0.10545051, 0.10551792,\n", - " 0.08987725, 0.08996616, 0.92461113, 0.12310064, 0.10582575,\n", - " 0.93363122, 0.92704708, 0.10534222, 0.10555773, 0.10524017,\n", - " 0.1730354 , 1.00047879, 0.13981699, 0.99951648, 0.13740268,\n", - " 0.1383553 , 1.00053611, 0.99983082, 0.40459782, 0.99949038,\n", - " 0.8488985 ]), array([0.09 , 0.09 , 0.09 , 0.10799839, 0.08883147,\n", - " 0.08889572, 0.08980298, 0.14057044, 0.08993899, 0.99969569,\n", - " 0.09008463, 0.10363056, 0.10436218, 0.10494107, 0.10514779,\n", - " 0.08987725, 0.08995581, 0.92461113, 0.12310064, 0.10582575,\n", - " 0.93363122, 0.92704708, 0.10533826, 0.10533037, 0.10528883,\n", - " 0.1730354 , 1.00047879, 0.13981699, 0.99951648, 0.13740268,\n", - " 0.1383553 , 1.00053611, 0.99983082, 0.39963157, 0.99949038,\n", - " 0.84769724]), array([0.09 , 0.09 , 0.09 , 0.09415381, 0.08883147,\n", - " 0.08887683, 0.08965934, 0.14996647, 0.08978638, 0.99969569,\n", - " 0.08996502, 0.10363056, 0.10405845, 0.10452792, 0.10475788,\n", - " 0.10122141, 0.08995581, 0.92461113, 0.12310064, 0.10582575,\n", - " 0.93363122, 0.92704708, 0.1052293 , 0.10501286, 0.1052593 ,\n", - " 0.1730354 , 1.00047879, 0.13981699, 0.99951648, 0.13740268,\n", - " 0.1383553 , 1.00053611, 0.99983082, 0.39575219, 0.99949038,\n", - " 0.8464999 ]), array([0.09 , 0.09 , 0.09 , 0.09 , 0.08883147,\n", - " 0.08886349, 0.0895359 , 0.15242955, 0.0896497 , 0.96161125,\n", - " 0.08983857, 0.10363056, 0.10388082, 0.10422501, 0.1044137 ,\n", - " 0.10524877, 0.08995581, 0.92461113, 0.12310064, 0.10582575,\n", - " 0.93363122, 0.92704708, 0.10504556, 0.10468056, 0.10515327,\n", - " 0.1730354 , 1.00047879, 0.13981699, 0.99951648, 0.13740268,\n", - " 0.1383553 , 1.00053611, 0.99983082, 0.40644648, 0.99949038,\n", - " 0.84530634]), array([0.09 , 0.09 , 0.09 , 0.09 , 0.09229456,\n", - " 0.08987241, 0.08958809, 0.34381044, 0.08961608, 0.83009284,\n", - " 0.08974934, 0.10363056, 0.10377692, 0.10401526, 0.10413888,\n", - " 0.10510497, 0.08995581, 0.92461113, 0.12310064, 0.10582575,\n", - " 0.93363122, 0.92704708, 0.10482275, 0.10438014, 0.10498931,\n", - " 0.1730354 , 1.00047879, 0.13981699, 0.99951648, 0.13740268,\n", - " 0.1383553 , 1.00053611, 0.99983082, 0.41373709, 0.99949038,\n", - " 0.84411644]), array([0.09 , 0.09 , 0.09 , 0.09 , 0.09234244,\n", - " 0.09059874, 0.08974484, 0.56474864, 0.08968635, 0.68784729,\n", - " 0.08972408, 0.09433491, 0.09985714, 0.10206885, 0.1030245 ,\n", - " 0.10459225, 0.08995581, 0.92461113, 0.12310064, 0.10582575,\n", - " 0.93363122, 0.92704708, 0.10442279, 0.10362828, 0.10470829,\n", - " 0.1493712 , 1.00047879, 0.13981699, 0.99951648, 0.12392031,\n", - " 0.1383553 , 1.00053611, 0.99983082, 0.42400825, 0.99949038,\n", - " 0.84293002]), array([0.09 , 0.09 , 0.09 , 0.09 , 0.09234244,\n", - " 0.09111148, 0.08995681, 0.80489154, 0.08983394, 0.57281555,\n", - " 0.08976814, 0.08985276, 0.09985714, 0.10103355, 0.10506914,\n", - " 0.10412963, 0.08995581, 0.92461113, 0.12310064, 0.10582575,\n", - " 0.93363122, 0.92704708, 0.10442434, 0.1044274 , 0.10456743,\n", - " 0.13857578, 1.00047879, 0.13981699, 0.99951648, 0.09705629,\n", - " 0.1383553 , 1.00053611, 0.99983082, 0.40228481, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.09 , 0.09 , 0.09 , 0.09118063,\n", - " 0.09112179, 0.09003827, 0.92611647, 0.08989653, 0.5257229 ,\n", - " 0.08979155, 0.08984955, 0.09985714, 0.10204373, 0.10443473,\n", - " 0.10378109, 0.10147772, 0.90369712, 0.12310064, 0.09503086,\n", - " 0.93363122, 0.92704708, 0.10456743, 0.10445036, 0.12806472,\n", - " 0.13740268, 1.00047879, 0.13981699, 0.99951648, 0.09028277,\n", - " 0.1383553 , 1.00053611, 0.99983082, 0.37816027, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.09 , 0.09 , 0.09 , 0.09118063,\n", - " 0.09113057, 0.09011464, 0.92611647, 0.08996334, 0.5257229 ,\n", - " 0.08982288, 0.08984815, 0.09985714, 0.1022522 , 0.10444652,\n", - " 0.10346099, 0.11645928, 0.43705476, 0.10609804, 0.08970948,\n", - " 0.93363122, 0.92704708, 0.10456743, 0.10447165, 0.84174713,\n", - " 0.13740268, 1.00047879, 0.13981699, 0.99951648, 0.09028277,\n", - " 0.60787116, 1.00053611, 0.99983082, 0.43823755, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.09 , 0.09 , 0.09 , 0.09118063,\n", - " 0.09113803, 0.0901862 , 0.92611647, 0.09003161, 0.51269365,\n", - " 0.08986095, 0.08984882, 0.09113224, 0.10231857, 0.10445454,\n", - " 0.10346099, 0.12244274, 0.13941174, 0.10584392, 0.08970948,\n", - " 0.93363122, 0.92704708, 0.1264674 , 0.10447165, 0.84174713,\n", - " 0.13740268, 1.00047879, 0.13981699, 0.99951648, 0.09028277,\n", - " 0.69331281, 1.00053611, 0.99983082, 0.7946507 , 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.09 , 0.09 , 0.09 , 0.09118063,\n", - " 0.09114439, 0.0902532 , 0.92611647, 0.09009949, 0.43320123,\n", - " 0.08990446, 0.08985174, 0.08985138, 0.10248024, 0.10446 ,\n", - " 0.10346099, 0.12884913, 0.13941174, 0.10584392, 0.08970948,\n", - " 0.92143242, 0.92302673, 0.79323184, 0.10447165, 0.84174713,\n", - " 0.13740268, 1.00047879, 0.13981699, 1.00511005, 0.09028277,\n", - " 0.69331281, 1.00053611, 0.99983082, 0.93734178, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.09 , 0.09 , 0.09 , 0.09118063,\n", - " 0.09114979, 0.0903159 , 0.92611647, 0.09016578, 0.37014149,\n", - " 0.08995212, 0.08985701, 0.08985205, 0.10261784, 0.10446372,\n", - " 0.10346099, 0.12884913, 0.12430149, 0.10584392, 0.08970948,\n", - " 0.69960191, 0.73837869, 0.84174713, 0.10447165, 0.84174713,\n", - " 0.13740268, 1.00047879, 0.14490377, 1.01286948, 0.09028277,\n", - " 0.68918748, 1.00053611, 0.99983082, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.09 , 0.09 , 0.09 , 0.09118063,\n", - " 0.09115439, 0.09037453, 0.92611647, 0.09022973, 0.26811228,\n", - " 0.09000275, 0.08986466, 0.08985356, 0.1027349 , 0.10446625,\n", - " 0.10346099, 0.12892148, 0.12308599, 0.10584392, 0.08970948,\n", - " 0.29292771, 0.30457988, 0.84174713, 0.10447165, 0.84174713,\n", - " 0.12110785, 1.00047879, 0.16855748, 1.01286948, 0.09028277,\n", - " 0.68879238, 1.00053611, 0.99983082, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.09 , 0.09 , 0.09 , 0.09118063,\n", - " 0.0911583 , 0.09042933, 0.92611647, 0.09029087, 0.20822795,\n", - " 0.0900553 , 0.08987466, 0.0898561 , 0.10283423, 0.10446625,\n", - " 0.10346099, 0.13163431, 0.11916134, 0.10584392, 0.08970948,\n", - " 0.21621658, 0.14055527, 0.84174713, 0.11548851, 0.84174713,\n", - " 0.09123124, 1.00047879, 0.1730354 , 1.01286948, 0.09350405,\n", - " 0.68879238, 1.00053611, 0.99983082, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.09 , 0.09 , 0.09 , 0.09118063,\n", - " 0.09116163, 0.09048054, 0.92611647, 0.09034897, 0.21684856,\n", - " 0.09010886, 0.08988695, 0.0898598 , 0.10291853, 0.10446625,\n", - " 0.10346099, 0.2744711 , 0.10704557, 0.10584392, 0.08970948,\n", - " 0.21621658, 0.13839196, 0.84174713, 0.46042515, 0.84174713,\n", - " 0.09123124, 1.00047879, 0.1730354 , 1.01286948, 0.10501618,\n", - " 0.68879238, 1.00053611, 0.99983082, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.09 , 0.09 , 0.09 , 0.09118063,\n", - " 0.09116446, 0.09052836, 0.92611647, 0.09040392, 0.24282123,\n", - " 0.09016268, 0.08990142, 0.08986479, 0.10291853, 0.11403287,\n", - " 0.10346099, 0.76212706, 0.10704557, 0.10584392, 0.10163772,\n", - " 0.21621658, 0.13839196, 0.84174713, 0.81753136, 0.84174713,\n", - " 0.09123124, 1.00047879, 0.1730354 , 1.01286948, 0.10501618,\n", - " 0.68879238, 1.00053611, 0.99983082, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08024858, 0.08926633, 0.08996525, 0.08930823,\n", - " 0.09088766, 0.09055349, 0.92611647, 0.09044974, 0.23661741,\n", - " 0.09021503, 0.08991788, 0.08987116, 0.10291853, 0.41487155,\n", - " 0.10346099, 0.76212328, 0.10704557, 0.10584392, 0.10342731,\n", - " 0.21621658, 0.13839196, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.09123124, 1.00047879, 0.17042807, 1.01286948, 0.10501618,\n", - " 0.68879238, 1.00053611, 0.99983082, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08 , 0.08856916, 0.08989914, 0.08777331,\n", - " 0.09042324, 0.09054438, 0.92611647, 0.09047873, 0.23661741,\n", - " 0.09026313, 0.089936 , 0.08987894, 0.10291853, 0.7703706 ,\n", - " 0.10346099, 0.73727754, 0.10704557, 0.10584392, 0.10339677,\n", - " 0.21621658, 0.13839196, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.09123124, 1.00047879, 0.14303758, 1.02097444, 0.10501618,\n", - " 0.56477769, 1.00053611, 0.99983082, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08 , 0.08792444, 0.08980561, 0.08655418,\n", - " 0.08984628, 0.09049556, 0.92611647, 0.09048389, 0.21816193,\n", - " 0.09030339, 0.08995528, 0.08988811, 0.10291853, 0.8385491 ,\n", - " 0.10346099, 0.10516738, 0.10226409, 0.10584392, 0.10336805,\n", - " 0.21621658, 0.13839196, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.09123124, 1.00047879, 0.13752378, 1.02509258, 0.1191677 ,\n", - " 0.27888858, 1.00053611, 0.99983082, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08512774, 0.08885109, 0.0905334 , 0.08986528,\n", - " 0.09049499, 0.09045684, 0.92611647, 0.09027079, 0.20749399,\n", - " 0.08995157, 0.08988409, 0.08986399, 0.20722366, 0.84174713,\n", - " 0.10346099, 0.10546859, 0.08996761, 0.10584392, 0.10336805,\n", - " 0.21621658, 0.13839196, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.09123124, 1.00047879, 0.13752378, 1.02509258, 0.41867251,\n", - " 0.75591974, 1.00053611, 0.99983082, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08521134, 0.08884013, 0.0905334 , 0.08988371,\n", - " 0.09049402, 0.09043032, 0.92611647, 0.09024788, 0.20570169,\n", - " 0.09002356, 0.09133082, 0.09857119, 0.82392508, 0.84174713,\n", - " 0.10346099, 0.10546854, 0.08996761, 0.10584392, 0.10336805,\n", - " 0.21621658, 0.13839196, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.09123124, 1.00047879, 0.13752378, 1.02509258, 0.84174713,\n", - " 0.75591974, 1.00053611, 0.99983082, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08529378, 0.08882977, 0.0905334 , 0.08990155,\n", - " 0.09049269, 0.09040533, 0.92611647, 0.09023342, 0.19431409,\n", - " 0.0900918 , 0.09133082, 0.13646267, 0.84151759, 0.84174713,\n", - " 0.09850598, 0.10546765, 0.08996761, 0.10584392, 0.10336805,\n", - " 0.21621658, 0.13839196, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.10311468, 1.00047879, 0.13752378, 1.02509258, 0.84174713,\n", - " 0.75591974, 1.00053611, 0.99983082, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08537508, 0.08881998, 0.0905334 , 0.08991882,\n", - " 0.09049105, 0.09038261, 0.92611647, 0.09022629, 0.19431409,\n", - " 0.09015647, 0.09133082, 0.41516107, 0.84160882, 0.84174713,\n", - " 0.09036102, 0.10546765, 0.08996761, 0.10584392, 0.10336805,\n", - " 0.21621658, 0.13839196, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.10501618, 1.00047879, 0.13752378, 1.02509258, 0.84174713,\n", - " 0.75591974, 1.00053611, 0.99983082, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08545524, 0.08881076, 0.0905334 , 0.08993553,\n", - " 0.09048913, 0.09036267, 0.67421053, 0.0902255 , 0.19431409,\n", - " 0.09021777, 0.09133082, 0.82988355, 0.84166379, 0.84174713,\n", - " 0.09036102, 0.10546765, 0.09798896, 0.10584392, 0.10336805,\n", - " 0.21621658, 0.13839196, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.10501618, 1.00047879, 0.13752378, 1.02509258, 0.84174713,\n", - " 0.75591974, 1.00053611, 0.99983082, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08553428, 0.0888021 , 0.0905334 , 0.08995169,\n", - " 0.09048698, 0.09034586, 0.14857663, 0.09023017, 0.19431409,\n", - " 0.09027587, 0.09133082, 0.84162408, 0.84169691, 0.84174713,\n", - " 0.09036102, 0.10546765, 0.10750807, 0.10584392, 0.10336805,\n", - " 0.21621658, 0.13839196, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.10501618, 1.00047879, 0.13752378, 1.02509258, 0.84174713,\n", - " 0.75591974, 1.00053611, 0.99983082, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.0856122 , 0.08879398, 0.0905334 , 0.0899673 ,\n", - " 0.09048467, 0.09033236, 0.13215896, 0.0902395 , 0.19431409,\n", - " 0.09033093, 0.09133082, 0.84164941, 0.84171687, 0.84174713,\n", - " 0.09036102, 0.10546765, 0.12619268, 0.10584392, 0.10336805,\n", - " 0.21533243, 0.13839196, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.10501618, 1.00047879, 0.12448616, 1.02509258, 0.84174713,\n", - " 0.75591974, 1.00053611, 0.99983082, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08568902, 0.08878639, 0.0905334 , 0.08998239,\n", - " 0.09048223, 0.09032165, 0.13215896, 0.09024798, 0.19431409,\n", - " 0.09033093, 0.13625265, 0.84167111, 0.84172889, 0.84174713,\n", - " 0.09036102, 0.10546765, 0.12619268, 0.10584392, 0.10336805,\n", - " 0.2029464 , 0.12743431, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.10501618, 1.00047879, 0.11338501, 1.00440977, 0.84174713,\n", - " 0.75591974, 1.00053611, 0.99983082, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08576474, 0.08877932, 0.0905334 , 0.08999696,\n", - " 0.09047971, 0.09031328, 0.13215896, 0.09025566, 0.19431409,\n", - " 0.09033093, 0.41386418, 0.84168887, 0.84173614, 0.84174713,\n", - " 0.09036102, 0.10546765, 0.12619268, 0.10584392, 0.10336805,\n", - " 0.2029464 , 0.12380405, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.11519398, 1.00047879, 0.09123124, 0.99615498, 0.84174713,\n", - " 0.75591974, 1.00053611, 0.99983082, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08583938, 0.08877275, 0.0905334 , 0.09001103,\n", - " 0.09047712, 0.09030685, 0.13215896, 0.09026264, 0.19431409,\n", - " 0.09033093, 0.8279537 , 0.84170296, 0.84174051, 0.84174713,\n", - " 0.09036102, 0.18484175, 0.12619268, 0.10584392, 0.10336805,\n", - " 0.2029464 , 0.12380405, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.17412314, 1.00047879, 0.09123124, 0.99615498, 0.84174713,\n", - " 0.75591974, 1.00053611, 0.99983082, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08591295, 0.08876667, 0.0905334 , 0.09002461,\n", - " 0.09047451, 0.09030204, 0.13215896, 0.09026897, 0.18739398,\n", - " 0.09033093, 0.84162019, 0.84171393, 0.84174314, 0.84174713,\n", - " 0.09036102, 0.41999728, 0.12619268, 0.10575404, 0.10336805,\n", - " 0.2029464 , 0.12380405, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.49630148, 1.00047879, 0.09123124, 0.99615498, 0.84174713,\n", - " 0.75591974, 1.00053611, 0.99983082, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08598545, 0.08876108, 0.0905334 , 0.09003771,\n", - " 0.09047187, 0.09029857, 0.13215896, 0.09027471, 0.15759392,\n", - " 0.09033093, 0.84168293, 0.84172234, 0.84174472, 0.84174713,\n", - " 0.09036102, 0.75050656, 0.12619268, 0.08996645, 0.10336805,\n", - " 0.2029464 , 0.12380405, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 1.00047879, 0.09123124, 0.99615498, 0.84174713,\n", - " 0.7479563 , 1.00053611, 0.99983082, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08607075, 0.08875507, 0.0905334 , 0.09005273,\n", - " 0.09046874, 0.09029594, 0.13215896, 0.09028083, 0.13820405,\n", - " 0.09033093, 0.84169194, 0.84172961, 0.84174578, 0.84174713,\n", - " 0.09036102, 0.80905819, 0.12619268, 0.08996645, 0.10336805,\n", - " 0.2029464 , 0.12380405, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 1.00047879, 0.09123124, 0.99615498, 0.84174713,\n", - " 0.37766578, 1.00053611, 0.99983082, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.0861545 , 0.0887497 , 0.0905334 , 0.09006713,\n", - " 0.09046563, 0.09029451, 0.13240894, 0.09028629, 0.13395882,\n", - " 0.09033093, 0.84170021, 0.84173481, 0.84174638, 0.84174713,\n", - " 0.09036102, 0.81951513, 0.12619268, 0.08996645, 0.10336805,\n", - " 0.20277162, 0.12380405, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 1.00047879, 0.09123124, 0.99615498, 0.84174713,\n", - " 0.15957625, 1.00053611, 0.99983082, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.0862368 , 0.08874496, 0.0905334 , 0.09008091,\n", - " 0.09046257, 0.09029401, 0.14699378, 0.09029115, 0.13395882,\n", - " 0.09033093, 0.8417076 , 0.8417385 , 0.84174671, 0.84174713,\n", - " 0.09036102, 0.81953493, 0.26448832, 0.08996645, 0.10336805,\n", - " 0.18692827, 0.11064633, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 1.00047879, 0.09123124, 0.99615498, 0.84174713,\n", - " 0.13632626, 1.00053611, 0.99983082, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08631764, 0.08874084, 0.0905334 , 0.09009411,\n", - " 0.09045956, 0.09029423, 0.14699378, 0.09029548, 0.13395882,\n", - " 0.09033093, 0.84171406, 0.8417411 , 0.84174689, 0.84174713,\n", - " 0.09036102, 0.8195531 , 0.62475841, 0.08996645, 0.10336805,\n", - " 0.18692827, 0.10619531, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 1.00047879, 0.09123124, 0.99615498, 0.84174713,\n", - " 0.12688559, 1.00053611, 0.99983082, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08639706, 0.08873731, 0.0905334 , 0.09010674,\n", - " 0.09045663, 0.09029499, 0.14699378, 0.09029934, 0.13395882,\n", - " 0.09033093, 0.84171963, 0.84174293, 0.841747 , 0.84174713,\n", - " 0.09036102, 0.81956978, 0.76212517, 0.08996645, 0.10336805,\n", - " 0.18692827, 0.10619531, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 1.00047879, 0.09123124, 0.99615498, 0.84174713,\n", - " 0.12235654, 1.00053611, 0.9957858 , 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08647506, 0.08873436, 0.0905334 , 0.09011884,\n", - " 0.09045377, 0.09029614, 0.14699378, 0.09030278, 0.13395882,\n", - " 0.09033093, 0.84172437, 0.84174421, 0.84174705, 0.84174713,\n", - " 0.09036102, 0.8195851 , 0.75492973, 0.08996645, 0.10336805,\n", - " 0.18692827, 0.10619531, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 1.00047879, 0.09373901, 0.99615498, 0.84174713,\n", - " 0.12235654, 1.00053611, 0.98795469, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08655167, 0.08873197, 0.0905334 , 0.09013041,\n", - " 0.09045098, 0.09029758, 0.14699378, 0.09030584, 0.13395882,\n", - " 0.09033093, 0.84172837, 0.8417451 , 0.84174709, 0.84174713,\n", - " 0.09036102, 0.81959916, 0.68975099, 0.08996645, 0.10336805,\n", - " 0.18692827, 0.10619531, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 1.00047879, 0.10469927, 0.99615498, 0.84174713,\n", - " 0.11799816, 1.00053611, 0.98795469, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08662691, 0.08873013, 0.0905334 , 0.09014149,\n", - " 0.09044827, 0.09029921, 0.14699378, 0.09030858, 0.13395882,\n", - " 0.09033093, 0.84173172, 0.84174572, 0.8417471 , 0.84174713,\n", - " 0.09036102, 0.81961207, 0.10542609, 0.08996645, 0.10336805,\n", - " 0.18692827, 0.10619531, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 1.00047879, 0.10469927, 0.99615498, 0.84174713,\n", - " 0.10930723, 1.00053611, 0.98795469, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08670079, 0.08872881, 0.0905334 , 0.09015209,\n", - " 0.09044565, 0.09030096, 0.13514966, 0.09031101, 0.13395882,\n", - " 0.09033093, 0.8417345 , 0.84174615, 0.84174711, 0.84174713,\n", - " 0.09036102, 0.81962392, 0.10542609, 0.08996645, 0.10336805,\n", - " 0.18692827, 0.10619531, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 1.00047879, 0.10469927, 0.98785215, 0.84174713,\n", - " 0.10930723, 1.00053611, 0.98795469, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08677334, 0.088728 , 0.0905334 , 0.09016223,\n", - " 0.0904431 , 0.09030277, 0.12339641, 0.09031318, 0.13395882,\n", - " 0.09033093, 0.84173681, 0.84174645, 0.84174712, 0.84174713,\n", - " 0.09036102, 0.8196348 , 0.10542609, 0.08996645, 0.10336805,\n", - " 0.17796446, 0.10051304, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 1.00047879, 0.10469927, 0.97878468, 0.84174713,\n", - " 0.10930723, 1.00053611, 0.98795469, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08684457, 0.08872769, 0.0905334 , 0.09017194,\n", - " 0.09044066, 0.09030638, 0.12339641, 0.09032716, 0.13395882,\n", - " 0.09044159, 0.84173871, 0.84174666, 0.84174712, 0.84174713,\n", - " 0.09036102, 0.81964478, 0.10542609, 0.08996645, 0.26119548,\n", - " 0.1725367 , 0.09037465, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 1.00047879, 0.10649677, 0.97124324, 0.84174713,\n", - " 0.10930723, 0.98173595, 0.98795469, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.0869145 , 0.08872786, 0.0905334 , 0.09018122,\n", - " 0.09043832, 0.09030946, 0.12339641, 0.09032716, 0.13395882,\n", - " 0.18250023, 0.84174027, 0.8417468 , 0.84174712, 0.84174713,\n", - " 0.12507611, 0.81965395, 0.10542609, 0.08996645, 0.82860152,\n", - " 0.1725367 , 0.09037465, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 1.00047879, 0.13496211, 0.96616077, 0.84174713,\n", - " 0.10930723, 0.85096066, 0.98795469, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08697206, 0.08872832, 0.0905334 , 0.0901887 ,\n", - " 0.09043642, 0.09031171, 0.12339641, 0.09032716, 0.13395882,\n", - " 0.49640025, 0.84174137, 0.84174689, 0.84174713, 0.84174713,\n", - " 0.38754869, 0.81966152, 0.10542609, 0.08996645, 0.84172436,\n", - " 0.1725367 , 0.09037465, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 1.00047879, 0.30342906, 0.95953805, 0.84174713,\n", - " 0.10085514, 0.69164811, 0.98888835, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08702873, 0.0887291 , 0.0905334 , 0.0901959 ,\n", - " 0.09043459, 0.09031367, 0.12339641, 0.09032716, 0.13395882,\n", - " 0.83069702, 0.8417423 , 0.84174696, 0.84174713, 0.84174713,\n", - " 0.78879351, 0.81966815, 0.10542609, 0.08996645, 0.84172527,\n", - " 0.1725367 , 0.09037465, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 1.00047879, 0.63494572, 0.94931454, 0.84174713,\n", - " 0.097536 , 0.54096246, 1.01667793, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08708452, 0.08873019, 0.0905334 , 0.09020285,\n", - " 0.09043281, 0.09031538, 0.12339641, 0.09032716, 0.13395882,\n", - " 0.84171813, 0.84174309, 0.841747 , 0.84174713, 0.84174713,\n", - " 0.8405522 , 0.81967433, 0.10542609, 0.08996645, 0.84172614,\n", - " 0.1725367 , 0.09037465, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 1.00047879, 0.84174713, 0.93210376, 0.84174713,\n", - " 0.097536 , 0.51215769, 1.01667793, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08713946, 0.08873158, 0.0905334 , 0.09020953,\n", - " 0.09043107, 0.09031688, 0.12339641, 0.09032716, 0.13395882,\n", - " 0.84171947, 0.84174374, 0.84174704, 0.84174713, 0.84174713,\n", - " 0.84172639, 0.81968008, 0.10542609, 0.08996645, 0.84172698,\n", - " 0.1725367 , 0.09037465, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 1.00047879, 0.84174713, 0.92280272, 0.84174713,\n", - " 0.097536 , 0.45798979, 1.01667793, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08719354, 0.08873326, 0.0905334 , 0.09021597,\n", - " 0.09042938, 0.09031818, 0.12339641, 0.09032716, 0.13395882,\n", - " 0.84172077, 0.8417443 , 0.84174706, 0.84174713, 0.84174713,\n", - " 0.84172724, 0.81968542, 0.15460319, 0.08996645, 0.84172779,\n", - " 0.1725367 , 0.09037465, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 1.00047879, 0.84174713, 0.92954086, 0.84174713,\n", - " 0.097536 , 0.40761242, 1.01667793, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08724678, 0.08873523, 0.0905334 , 0.09022218,\n", - " 0.09042774, 0.09031932, 0.12339641, 0.09032716, 0.13395882,\n", - " 0.84172202, 0.84174476, 0.84174708, 0.84174713, 0.84174713,\n", - " 0.84172805, 0.8196904 , 0.33045874, 0.08996645, 0.84172856,\n", - " 0.1725367 , 0.09037465, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 1.00047879, 0.84174713, 0.97614742, 0.84174713,\n", - " 0.10681413, 0.35131898, 1.01667793, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08729919, 0.08873747, 0.0905334 , 0.09022815,\n", - " 0.09042613, 0.09032032, 0.11629496, 0.09032716, 0.13395882,\n", - " 0.84172323, 0.84174515, 0.84174709, 0.84174713, 0.84174713,\n", - " 0.84172883, 0.81969503, 0.62466089, 0.08996645, 0.8417293 ,\n", - " 0.1725367 , 0.09037465, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 1.00047879, 0.84174713, 0.98512669, 0.84174713,\n", - " 0.12133591, 0.2650186 , 1.01667793, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08735077, 0.08873998, 0.0905334 , 0.09023391,\n", - " 0.09042456, 0.09032118, 0.10656622, 0.09032716, 0.13395882,\n", - " 0.84172439, 0.84174547, 0.8417471 , 0.84174713, 0.84174713,\n", - " 0.84172957, 0.81969934, 0.78676391, 0.08996645, 0.84173001,\n", - " 0.1725367 , 0.09037465, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 1.00047879, 0.84174713, 0.9927505 , 0.84174713,\n", - " 0.12560777, 0.23183921, 1.01667793, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08740155, 0.08874274, 0.0905334 , 0.09023945,\n", - " 0.09042302, 0.09032118, 0.10656622, 0.12761104, 0.13395882,\n", - " 0.8417255 , 0.84174575, 0.84174711, 0.84174713, 0.84174713,\n", - " 0.84173029, 0.81970335, 0.81352814, 0.08996645, 0.8417307 ,\n", - " 0.1725367 , 0.09037465, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 1.00047879, 0.84174713, 1.00030694, 0.84174713,\n", - " 0.12560777, 0.21257306, 1.01667793, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08745153, 0.08879357, 0.09831044, 0.09024478,\n", - " 0.09042149, 0.09032118, 0.10656622, 0.24781509, 0.13395882,\n", - " 0.84172657, 0.84174597, 0.84174711, 0.84174713, 0.84174713,\n", - " 0.84173098, 0.81970709, 0.81963361, 0.08996645, 0.84173135,\n", - " 0.18254615, 0.09730533, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 1.00047879, 0.84174713, 1.00030694, 0.84174713,\n", - " 0.12560777, 0.21257306, 1.01726154, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08750072, 0.08879398, 0.1077064 , 0.09024992,\n", - " 0.09041999, 0.09032118, 0.10656622, 0.56595917, 0.13395882,\n", - " 0.84172759, 0.84174616, 0.84174712, 0.84174713, 0.84174713,\n", - " 0.84173164, 0.81971056, 0.819637 , 0.08996645, 0.84173198,\n", - " 0.1842802 , 0.10328428, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 1.00047879, 0.84174713, 1.00030694, 0.84174713,\n", - " 0.12560777, 0.21257306, 1.03463237, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08754914, 0.08879467, 0.1077064 , 0.09025486,\n", - " 0.09041852, 0.09032118, 0.10656622, 0.83299138, 0.13395882,\n", - " 0.84172857, 0.84174632, 0.84174712, 0.84174713, 0.84174713,\n", - " 0.84173227, 0.81971379, 0.81964037, 0.08996645, 0.84173259,\n", - " 0.1842802 , 0.10328428, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 1.00047879, 0.84174713, 1.00030694, 0.84174713,\n", - " 0.12560777, 0.21257306, 1.03463237, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08759049, 0.08879546, 0.1077064 , 0.09025899,\n", - " 0.09041725, 0.09032118, 0.10656622, 0.84172409, 0.13395882,\n", - " 0.84172939, 0.84174644, 0.84174712, 0.84174713, 0.84174713,\n", - " 0.8417328 , 0.81971596, 0.81964327, 0.08996645, 0.84173309,\n", - " 0.18428019, 0.10328428, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 1.00047879, 0.84174713, 1.00030694, 0.84174713,\n", - " 0.12560777, 0.21257306, 1.03463237, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08763127, 0.08879645, 0.1077064 , 0.09026299,\n", - " 0.09041601, 0.09032118, 0.10656622, 0.84172459, 0.13395882,\n", - " 0.84173017, 0.84174654, 0.84174712, 0.84174713, 0.84174713,\n", - " 0.84173331, 0.81971843, 0.81964615, 0.08996645, 0.84173358,\n", - " 0.18428019, 0.10328428, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 0.94767947, 0.84174713, 1.00030694, 0.84174713,\n", - " 0.12560777, 0.22647634, 1.03463237, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08767149, 0.08879763, 0.1077064 , 0.09026686,\n", - " 0.09041478, 0.09032118, 0.10516542, 0.8417251 , 0.13395882,\n", - " 0.84173092, 0.84174663, 0.84174712, 0.84174713, 0.84174713,\n", - " 0.8417338 , 0.81972075, 0.81964901, 0.08996645, 0.84173405,\n", - " 0.18428019, 0.10328428, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 0.84746591, 0.84174713, 1.00030694, 0.84174713,\n", - " 0.12560777, 0.23299098, 1.03463237, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08771115, 0.088799 , 0.1077064 , 0.09027063,\n", - " 0.09041478, 0.11549639, 0.08784528, 0.84172563, 0.13395882,\n", - " 0.84173163, 0.8417467 , 0.84174712, 0.84174713, 0.84174713,\n", - " 0.84173428, 0.81972293, 0.81965184, 0.08996645, 0.84173451,\n", - " 0.18428019, 0.10328428, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 0.68479658, 0.84174713, 1.00030694, 0.84174713,\n", - " 0.22782372, 0.23299098, 1.03463237, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08775027, 0.08880055, 0.1077064 , 0.0902743 ,\n", - " 0.09041478, 0.19017439, 0.08784528, 0.84172618, 0.13395882,\n", - " 0.84173232, 0.84174676, 0.84174712, 0.84174713, 0.84174713,\n", - " 0.84173473, 0.81972497, 0.81965464, 0.08996645, 0.84173494,\n", - " 0.18428019, 0.10328428, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 0.60474816, 0.84174713, 1.00030694, 0.84174713,\n", - " 0.39259555, 0.23299098, 1.03463237, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08778884, 0.08880227, 0.1077064 , 0.09027788,\n", - " 0.09041478, 0.36420186, 0.08784528, 0.84172673, 0.13395882,\n", - " 0.84173298, 0.84174682, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84173518, 0.8197269 , 0.81965741, 0.08996645, 0.84173537,\n", - " 0.18428019, 0.10328428, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 0.55380212, 0.84174713, 1.00030694, 0.84174713,\n", - " 0.54598658, 0.23299098, 1.03463237, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08782687, 0.08880417, 0.1077064 , 0.09028137,\n", - " 0.09041478, 0.62393561, 0.08784528, 0.84172729, 0.13395882,\n", - " 0.84173361, 0.84174686, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.8417356 , 0.8197287 , 0.81966014, 0.09605348, 0.84173578,\n", - " 0.18428019, 0.10328428, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 0.53091992, 0.84174713, 1.00030694, 0.84174713,\n", - " 0.63832724, 0.23299098, 1.03463237, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08786438, 0.08880623, 0.1077064 , 0.09028477,\n", - " 0.09041478, 0.84062747, 0.08784528, 0.84172785, 0.13395882,\n", - " 0.84173422, 0.8417469 , 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84173601, 0.8197304 , 0.81966283, 0.10354872, 0.84173617,\n", - " 0.18428019, 0.10328428, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 0.47292686, 0.84174713, 1.00030694, 0.84174713,\n", - " 0.63832724, 0.23299098, 1.03463237, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08790137, 0.08880846, 0.1077064 , 0.09028808,\n", - " 0.09041478, 0.84075057, 0.08784528, 0.84172842, 0.13395882,\n", - " 0.8417348 , 0.84174693, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84173641, 0.81973199, 0.81966548, 0.10354872, 0.84173655,\n", - " 0.18428019, 0.10328428, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 0.4283744 , 0.84174713, 1.00030694, 0.84174713,\n", - " 0.61637803, 0.23299098, 1.03463237, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08793784, 0.08881084, 0.1077064 , 0.09029131,\n", - " 0.09041478, 0.84085997, 0.08784528, 0.84172898, 0.13395882,\n", - " 0.84173535, 0.84174696, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84173679, 0.81973349, 0.81966809, 0.10354872, 0.84173692,\n", - " 0.18428019, 0.10328428, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 0.41653035, 0.84174713, 1.00030694, 0.84174713,\n", - " 0.577249 , 0.23299098, 1.02573852, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.0879738 , 0.08881339, 0.1077064 , 0.09029445,\n", - " 0.09041478, 0.8409572 , 0.08784528, 0.84172954, 0.13395882,\n", - " 0.84173588, 0.84174699, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84173716, 0.81973489, 0.81967065, 0.10354872, 0.84173727,\n", - " 0.18428019, 0.10328428, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 0.40697855, 0.84174713, 1.00030694, 0.84174713,\n", - " 0.10550776, 0.23299098, 0.99476726, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08800926, 0.08881608, 0.1077064 , 0.09029752,\n", - " 0.09041478, 0.84104362, 0.08784528, 0.8417301 , 0.13395882,\n", - " 0.84173639, 0.84174701, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84173751, 0.81973621, 0.81967316, 0.10354872, 0.84173762,\n", - " 0.18428019, 0.10328428, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 0.39399945, 0.84174713, 1.00030694, 0.84174713,\n", - " 0.10550776, 0.22929737, 0.99476726, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08804671, 0.08881914, 0.1077064 , 0.09030071,\n", - " 0.09041478, 0.84112533, 0.08784528, 0.84173069, 0.13395882,\n", - " 0.84173691, 0.84174703, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84173788, 0.81973754, 0.8196758 , 0.10354872, 0.84173797,\n", - " 0.1842802 , 0.10328428, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 0.37711905, 0.84174713, 1.00030694, 0.84174713,\n", - " 0.10550776, 0.19734373, 0.99476726, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.0880836 , 0.08882236, 0.1077064 , 0.09030382,\n", - " 0.09041478, 0.84119739, 0.09033774, 0.84173127, 0.13395882,\n", - " 0.8417374 , 0.84174704, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84173823, 0.81973878, 0.81967838, 0.10354872, 0.84173831,\n", - " 0.1842802 , 0.10328428, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 0.3585622 , 0.84174713, 1.00030694, 0.84174713,\n", - " 0.10550776, 0.19734373, 0.99476726, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08811993, 0.08882574, 0.1077064 , 0.09030685,\n", - " 0.09041478, 0.84126095, 0.1060256 , 0.84173184, 0.13395882,\n", - " 0.84173787, 0.84174706, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84173857, 0.81973994, 0.8196809 , 0.10354872, 0.84173864,\n", - " 0.1842802 , 0.10328428, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 0.31185205, 0.84174713, 1.00030694, 0.84174713,\n", - " 0.10550776, 0.19734373, 0.99476726, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08815572, 0.08882927, 0.1077064 , 0.09030979,\n", - " 0.09041478, 0.84131701, 0.1060256 , 0.8417324 , 0.13395882,\n", - " 0.84173832, 0.84174707, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84173889, 0.81974102, 0.81968336, 0.10354872, 0.84173895,\n", - " 0.1842802 , 0.10328428, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 0.2689135 , 0.84174713, 1.00030694, 0.84174713,\n", - " 0.10550776, 0.19734373, 0.99476726, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08819097, 0.08883296, 0.1077064 , 0.09031265,\n", - " 0.09041478, 0.84136648, 0.1060256 , 0.84173295, 0.13395882,\n", - " 0.84173874, 0.84174708, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84173921, 0.81974203, 0.81968577, 0.10354872, 0.84173926,\n", - " 0.1842802 , 0.10328428, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 0.23486098, 0.84174713, 1.00030694, 0.84174713,\n", - " 0.10550776, 0.18327673, 0.99476726, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08822569, 0.08883679, 0.1077064 , 0.09031544,\n", - " 0.09041478, 0.84141012, 0.1060256 , 0.84173349, 0.13395882,\n", - " 0.84173915, 0.84174708, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84173951, 0.81974298, 0.81968811, 0.10354872, 0.84173955,\n", - " 0.1842802 , 0.10328428, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 0.21597946, 0.84174713, 1.00030694, 0.84174713,\n", - " 0.10550776, 0.15844907, 0.99476726, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08825989, 0.08884076, 0.1077064 , 0.09031815,\n", - " 0.09041478, 0.84144864, 0.1060256 , 0.84173401, 0.13395882,\n", - " 0.84173953, 0.84174709, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.8417398 , 0.81974387, 0.81969039, 0.10354872, 0.84173983,\n", - " 0.1842802 , 0.10328428, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 0.21597946, 0.84174713, 1.00030694, 0.84174713,\n", - " 0.10550776, 0.13877656, 0.99476726, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08829357, 0.08884487, 0.1077064 , 0.09032078,\n", - " 0.09041478, 0.84148264, 0.1060256 , 0.84173452, 0.13395882,\n", - " 0.8417399 , 0.8417471 , 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174008, 0.81974469, 0.81969262, 0.10354872, 0.8417401 ,\n", - " 0.1842802 , 0.10328428, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 0.21597946, 0.84174713, 1.00030694, 0.84174713,\n", - " 0.10550776, 0.13877656, 0.99476726, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08832674, 0.08884911, 0.1077064 , 0.09032334,\n", - " 0.09041478, 0.84151265, 0.1060256 , 0.84173502, 0.13395882,\n", - " 0.84174025, 0.8417471 , 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174035, 0.81974547, 0.81969478, 0.10354872, 0.84174037,\n", - " 0.1842802 , 0.10328428, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 0.21597946, 0.84174713, 1.00030694, 0.84174713,\n", - " 0.11026956, 0.13877656, 0.99476726, 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08835941, 0.08885348, 0.1077064 , 0.09032584,\n", - " 0.09041478, 0.84153915, 0.1060256 , 0.8417355 , 0.13395882,\n", - " 0.84174059, 0.8417471 , 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174061, 0.81974619, 0.81969689, 0.10354872, 0.84174062,\n", - " 0.1842802 , 0.10328428, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 0.21597946, 0.84174713, 1.00030694, 0.84174713,\n", - " 0.15144183, 0.13877656, 0.9445208 , 0.94454453, 0.99949038,\n", - " 0.84174713]), array([0.08 , 0.08839159, 0.08885798, 0.1077064 , 0.09032826,\n", - " 0.09041478, 0.84156256, 0.1060256 , 0.84173597, 0.13395882,\n", - " 0.8417409 , 0.84174711, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174085, 0.81974687, 0.81969894, 0.10354872, 0.84174086,\n", - " 0.1842802 , 0.10328428, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 0.21597946, 0.84174713, 1.00030694, 0.84174713,\n", - " 0.28797222, 0.13877656, 0.90044391, 0.94454453, 1.00100003,\n", - " 0.84174713]), array([0.08 , 0.08842328, 0.0888626 , 0.1077064 , 0.09033062,\n", - " 0.09041478, 0.84158324, 0.1060256 , 0.84173642, 0.13395882,\n", - " 0.84174121, 0.84174711, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174109, 0.8197475 , 0.81970093, 0.10354872, 0.84174109,\n", - " 0.1842802 , 0.10328428, 0.84174713, 0.84174713, 0.84174713,\n", - " 0.84174713, 0.21838094, 0.84174713, 1.00030694, 0.84174713,\n", - " 0.51830919, 0.13877656, 0.84834047, 0.94454453, 1.01723934,\n", - " 0.84174713]), array([0.09 , 0.08 , 0.08676924, 0.1077064 , 0.08643658,\n", - " 0.08940068, 0.84124582, 0.1060256 , 0.84142483, 0.13395882,\n", - " 0.8416345 , 0.84172639, 0.84174035, 0.84174463, 0.84174617,\n", - " 0.84174104, 0.51071704, 0.81970093, 0.10354872, 0.84174124,\n", - " 0.1842802 , 0.10328428, 0.84174705, 0.84174676, 0.8417471 ,\n", - " 0.84174713, 0.2286142 , 0.84174713, 1.00030694, 0.84174713,\n", - " 0.40291408, 0.13877656, 0.76250356, 0.94454453, 1.01723934,\n", - " 0.84174713]), array([0.09 , 0.08 , 0.08605622, 0.1077064 , 0.08489094,\n", - " 0.0883237 , 0.70783448, 0.1060256 , 0.84142483, 0.13395882,\n", - " 0.84156592, 0.84170412, 0.84172853, 0.84173868, 0.84174331,\n", - " 0.84174009, 0.51071715, 0.81970093, 0.10354872, 0.84174113,\n", - " 0.1842802 , 0.10328428, 0.84174673, 0.84174543, 0.84174699,\n", - " 0.84174713, 0.2286142 , 0.84174713, 1.00030694, 0.84174712,\n", - " 0.41745945, 0.13877656, 0.7325537 , 0.94454453, 1.01723934,\n", - " 0.84174713]), array([0.09 , 0.08 , 0.0854183 , 0.10551948, 0.08380419,\n", - " 0.08724439, 0.09194257, 0.1060256 , 0.72520563, 0.13395882,\n", - " 0.84156592, 0.84168494, 0.84171431, 0.84172968, 0.84173811,\n", - " 0.84173814, 0.51071715, 0.81970093, 0.10354872, 0.84174066,\n", - " 0.1842802 , 0.10328428, 0.84174592, 0.8417426 , 0.84174665,\n", - " 0.84174712, 0.22284927, 0.84174713, 1.00030694, 0.84174709,\n", - " 0.4310435 , 0.13956358, 0.70220842, 0.94454453, 1.01723934,\n", - " 0.84174713]), array([0.09 , 0.08 , 0.08484758, 0.08855457, 0.08304011,\n", - " 0.08624036, 0.08923518, 0.09900687, 0.17085117, 0.13395882,\n", - " 0.84156592, 0.84166842, 0.84169933, 0.84171848, 0.84173062,\n", - " 0.84173521, 0.51071699, 0.81970093, 0.10354872, 0.84173975,\n", - " 0.1842802 , 0.10328428, 0.84174436, 0.84173797, 0.84174593,\n", - " 0.84174711, 0.21485835, 0.84174713, 1.00030694, 0.84174703,\n", - " 0.43104596, 0.15161318, 0.69681338, 0.94454453, 1.01723934,\n", - " 0.84174713]), array([0.09 , 0.08 , 0.08433697, 0.0881647 , 0.08250288,\n", - " 0.08534781, 0.0887649 , 0.09027876, 0.08973256, 0.13395882,\n", - " 0.73186008, 0.84166842, 0.84168925, 0.84170768, 0.84172186,\n", - " 0.84173174, 0.51071666, 0.81970093, 0.10354872, 0.84173844,\n", - " 0.1842802 , 0.10328428, 0.84174188, 0.84173174, 0.84174465,\n", - " 0.84174709, 0.20440225, 0.84174712, 1.00030694, 0.84174689,\n", - " 0.43104836, 0.15161318, 0.69681338, 0.94454453, 1.01723934,\n", - " 0.84174713]), array([0.09 , 0.08198305, 0.08408902, 0.08778795, 0.08264269,\n", - " 0.08470179, 0.08827336, 0.09027876, 0.0890475 , 0.13395882,\n", - " 0.20255377, 0.84166842, 0.84168245, 0.84169837, 0.8417129 ,\n", - " 0.84172801, 0.51071616, 0.81970093, 0.10354872, 0.8417368 ,\n", - " 0.24606359, 0.12268447, 0.84173846, 0.84172446, 0.84174269,\n", - " 0.84174705, 0.21505745, 0.84174712, 1.00030694, 0.84174666,\n", - " 0.43105072, 0.15161318, 0.69681338, 0.94454453, 1.01723934,\n", - " 0.84174712]), array([0.09 , 0.09 , 0.08471164, 0.08750357, 0.08483328,\n", - " 0.08473319, 0.08784509, 0.09027876, 0.088483 , 0.13395882,\n", - " 0.0937636 , 0.84166842, 0.84167787, 0.8416908 , 0.84170446,\n", - " 0.84172423, 0.5107155 , 0.81970093, 0.10354872, 0.84173492,\n", - " 0.46464982, 0.26119548, 0.84173419, 0.84171673, 0.84174 ,\n", - " 0.84174698, 0.22761175, 0.84174711, 1.00030694, 0.84174629,\n", - " 0.43105302, 0.15161318, 0.69681338, 0.94454453, 1.01723934,\n", - " 0.84174712]), array([0.09 , 0.09 , 0.08526868, 0.08729698, 0.08637348,\n", - " 0.08512491, 0.08751601, 0.09027876, 0.08802902, 0.13395882,\n", - " 0.0887414 , 0.84166842, 0.84167479, 0.84168489, 0.84169699,\n", - " 0.84172049, 0.51071472, 0.81970093, 0.10354872, 0.84173287,\n", - " 0.84526994, 0.80456485, 0.84172926, 0.8417091 , 0.8417366 ,\n", - " 0.84174686, 0.24048655, 0.8417471 , 1.00030694, 0.84174575,\n", - " 0.43097032, 0.16208336, 0.69681338, 0.94454453, 1.01723934,\n", - " 0.84174712]), array([0.09 , 0.09 , 0.08576704, 0.08715556, 0.08745639,\n", - " 0.0856817 , 0.0872941 , 0.09027876, 0.08768399, 0.13395882,\n", - " 0.08839552, 0.84166842, 0.84167271, 0.84168039, 0.84169065,\n", - " 0.84171688, 0.50817645, 0.81970093, 0.10354872, 0.84173072,\n", - " 0.85602635, 0.83900882, 0.8417239 , 0.84170197, 0.84173258,\n", - " 0.84174669, 0.20731745, 0.84174707, 1.00030694, 0.84174502,\n", - " 0.42249374, 0.29079058, 0.69681338, 0.94454453, 1.01723934,\n", - " 0.84174711]), array([0.09 , 0.09 , 0.08621291, 0.08706842, 0.08821779,\n", - " 0.08628734, 0.08717231, 0.09027876, 0.08744377, 0.13395882,\n", - " 0.08808421, 0.84166842, 0.84167131, 0.84167704, 0.84168546,\n", - " 0.84171344, 0.50471979, 0.81970093, 0.10354872, 0.84172852,\n", - " 0.85602621, 0.84173493, 0.84171834, 0.84169559, 0.84172807,\n", - " 0.84174644, 0.17654647, 0.84174704, 1.00030694, 0.84174408,\n", - " 0.4224959 , 0.77927013, 0.69681338, 0.94454453, 1.0314212 ,\n", - " 0.8417471 ]), array([0.09 , 0.09 , 0.08661182, 0.08702621, 0.08875312,\n", - " 0.0868762 , 0.08713649, 0.09027876, 0.08729951, 0.14703522,\n", - " 0.08782753, 0.7543115 , 0.84167131, 0.84167492, 0.84168144,\n", - " 0.84171026, 0.73252599, 0.81970093, 0.10354872, 0.84172632,\n", - " 0.85602602, 0.84173473, 0.84171279, 0.84169012, 0.84172324,\n", - " 0.84174611, 0.2091027 , 0.84174699, 1.00030694, 0.84174293,\n", - " 0.42249802, 0.90211493, 0.69681338, 0.94454453, 1.03309721,\n", - " 0.84174709]), array([0.09 , 0.09 , 0.0869687 , 0.0870209 , 0.08912952,\n", - " 0.08741432, 0.0871701 , 0.09027876, 0.08723875, 0.15828393,\n", - " 0.08763494, 0.31077576, 0.84167131, 0.84167359, 0.84167844,\n", - " 0.84170731, 0.8417242 , 0.81970093, 0.10354872, 0.84172416,\n", - " 0.85602579, 0.84173447, 0.84170745, 0.84168561, 0.84171824,\n", - " 0.84174568, 0.30972269, 0.84174691, 1.00030694, 0.84174156,\n", - " 0.42250009, 0.9270073 , 0.69681338, 0.94454453, 1.03309721,\n", - " 0.84174708]), array([0.07 , 0.09 , 0.08739401, 0.08707138, 0.0894804 ,\n", - " 0.08807293, 0.08732465, 0.09027876, 0.08728824, 0.34381044,\n", - " 0.08748509, 0.10281728, 0.59218447, 0.83561474, 0.83848666,\n", - " 0.84170731, 0.84171914, 0.81960772, 0.09549055, 0.84152445,\n", - " 0.85602213, 0.84173048, 0.84094481, 0.83973972, 0.84128932,\n", - " 0.84174383, 0.83714302, 0.84174677, 1.00030694, 0.84172148,\n", - " 0.09012419, 0.9270073 , 0.69681338, 0.92530644, 1.03309721,\n", - " 0.84174637]), array([0.07 , 0.09 , 0.08775964, 0.0871645 , 0.08968681,\n", - " 0.0885874 , 0.08754081, 0.09027876, 0.08743376, 0.55559713,\n", - " 0.0874629 , 0.08846462, 0.14766986, 0.58138943, 0.7915303 ,\n", - " 0.84170731, 0.84171751, 0.81960772, 0.09036102, 0.84152445,\n", - " 0.85601855, 0.84172657, 0.84094481, 0.82257496, 0.84109827,\n", - " 0.84174001, 0.87822457, 0.84174646, 1.00030694, 0.8416938 ,\n", - " 0.09012419, 0.9270073 , 0.69681338, 0.86947359, 1.03309721,\n", - " 0.84174514]), array([0.07 , 0.09 , 0.08807397, 0.08728755, 0.08981477,\n", - " 0.08897865, 0.08778695, 0.09027876, 0.08763725, 0.77383308,\n", - " 0.08753826, 0.08826982, 0.09148381, 0.14630538, 0.51425971,\n", - " 0.84170731, 0.84171611, 0.81960772, 0.09036102, 0.84152445,\n", - " 0.85601503, 0.84172273, 0.83323248, 0.69280926, 0.83673611,\n", - " 0.84171965, 0.92705355, 0.84174523, 1.00030694, 0.84147367,\n", - " 0.09012419, 0.9270073 , 0.69681338, 0.72071911, 1.03309721,\n", - " 0.84173718]), array([0.07 , 0.09 , 0.0883442 , 0.08743052, 0.09024591,\n", - " 0.08938262, 0.0880601 , 0.09027876, 0.08788087, 0.89978092,\n", - " 0.08768634, 0.08814712, 0.08826788, 0.08985608, 0.16907028,\n", - " 0.84170731, 0.84171489, 0.81960772, 0.09036102, 0.84152445,\n", - " 0.85601158, 0.84171897, 0.7680946 , 0.39135645, 0.82322658,\n", - " 0.84170084, 0.92705355, 0.8417432 , 1.00030694, 0.84147367,\n", - " 0.09889642, 0.9270073 , 0.69681338, 0.55775582, 1.03309721,\n", - " 0.84171439]), array([0.07 , 0.07122372, 0.0883442 , 0.08755414, 0.09223141,\n", - " 0.09029074, 0.08844195, 0.09027876, 0.08820413, 0.92611647,\n", - " 0.08791014, 0.08809729, 0.08819089, 0.08901325, 0.12517873,\n", - " 0.84170731, 0.84171385, 0.81960772, 0.09036102, 0.84152445,\n", - " 0.85600819, 0.84171527, 0.56624841, 0.15344287, 0.72836867,\n", - " 0.84168348, 0.92705355, 0.84174047, 1.00030694, 0.84147367,\n", - " 0.10263168, 0.9270073 , 0.69681338, 0.44050522, 1.03309721,\n", - " 0.84157792]), array([0.07 , 0.07 , 0.0883442 , 0.08766104, 0.08609992,\n", - " 0.08895481, 0.08852974, 0.09027876, 0.08839173, 0.92611647,\n", - " 0.0881183 , 0.0881017 , 0.08815064, 0.08857664, 0.1247503 ,\n", - " 0.84170731, 0.84171295, 0.81960772, 0.09036102, 0.84152445,\n", - " 0.85600488, 0.84171165, 0.29147168, 0.12491812, 0.51216882,\n", - " 0.84166744, 0.92705355, 0.84173713, 1.00030694, 0.84147367,\n", - " 0.10263168, 0.9270073 , 0.69681338, 0.36942791, 1.03309721,\n", - " 0.84109991]), array([0.07 , 0.07 , 0.0883442 , 0.08775347, 0.0754101 ,\n", - " 0.08895481, 0.08860251, 0.09027876, 0.08851317, 0.92611647,\n", - " 0.08828897, 0.08814108, 0.08814633, 0.08835884, 0.12444408,\n", - " 0.84170731, 0.84171217, 0.81960772, 0.09036102, 0.84152445,\n", - " 0.85600162, 0.84170809, 0.14140662, 0.12462977, 0.26193695,\n", - " 0.84165263, 0.92705355, 0.84173327, 1.00030694, 0.84147367,\n", - " 0.10263168, 0.9270073 , 0.69681338, 0.34710736, 1.03309721,\n", - " 0.84008213]), array([0.07 , 0.07 , 0.0883442 , 0.08783339, 0.07400898,\n", - " 0.08895481, 0.08866282, 0.09027876, 0.08859939, 0.92611647,\n", - " 0.08842314, 0.0882004 , 0.08817073, 0.08826363, 0.12425706,\n", - " 0.84170731, 0.8417115 , 0.81960772, 0.1026985 , 0.84152445,\n", - " 0.85599843, 0.8417046 , 0.1246302 , 0.12440306, 0.1381048 ,\n", - " 0.84163895, 0.92705355, 0.84172896, 1.00030694, 0.84147367,\n", - " 0.10263168, 0.9270073 , 0.69681338, 0.34710736, 1.03054986,\n", - " 0.83860424]), array([0.07 , 0.07 , 0.0883442 , 0.08790251, 0.07250942,\n", - " 0.07602843, 0.08866282, 0.09027876, 0.08863593, 0.92611647,\n", - " 0.08851511, 0.08826658, 0.08821399, 0.0882385 , 0.12416023,\n", - " 0.62350261, 0.8417115 , 0.81960772, 0.64965152, 0.84152445,\n", - " 0.85599529, 0.84170118, 0.12448492, 0.12425535, 0.12454963,\n", - " 0.84162631, 0.92705355, 0.84172426, 1.00030694, 0.84147367,\n", - " 0.10263168, 0.9270073 , 0.72612056, 0.34710736, 1.01801656,\n", - " 0.83694999]), array([0.07 , 0.07 , 0.0883442 , 0.08796227, 0.07246591,\n", - " 0.07349473, 0.08866282, 0.09027876, 0.08865142, 0.92611647,\n", - " 0.08857403, 0.08833123, 0.0882669 , 0.08825288, 0.12412452,\n", - " 0.20346183, 0.8417115 , 0.81960772, 0.84170841, 0.84152445,\n", - " 0.85599222, 0.84169782, 0.1243651 , 0.12417577, 0.12444729,\n", - " 0.84161464, 0.92705355, 0.84171925, 1.00030694, 0.84147367,\n", - " 0.10263168, 0.9270073 , 0.80683054, 0.34710736, 0.99454817,\n", - " 0.83528474]), array([0.07 , 0.07 , 0.07248958, 0.08796227, 0.07244029,\n", - " 0.0731586 , 0.08866282, 0.09027876, 0.08865799, 0.92611647,\n", - " 0.08861032, 0.08838992, 0.08832242, 0.08828808, 0.12412709,\n", - " 0.09599587, 0.8417115 , 0.81960772, 0.84170841, 0.84152445,\n", - " 0.85598921, 0.84169453, 0.12428024, 0.12414616, 0.12435465,\n", - " 0.84160387, 0.92705355, 0.84171397, 1.00030694, 0.84147367,\n", - " 0.10263168, 0.9270073 , 0.86062797, 0.34710736, 0.99454817,\n", - " 0.83362705]), array([0.07 , 0.07 , 0.07015029, 0.08796227, 0.07242565,\n", - " 0.07292496, 0.08866282, 0.09027876, 0.08866077, 0.92611647,\n", - " 0.08863212, 0.08844085, 0.08837588, 0.08833252, 0.12415164,\n", - " 0.088557 , 0.8417115 , 0.81960772, 0.84170841, 0.84152445,\n", - " 0.85598625, 0.8416913 , 0.12422957, 0.12414949, 0.12428528,\n", - " 0.84159391, 0.92705355, 0.84170848, 1.00030694, 0.84147367,\n", - " 0.10263168, 0.9270073 , 0.90293728, 0.34710736, 0.99454817,\n", - " 0.83197691]), array([0.07 , 0.07 , 0.07012944, 0.08796227, 0.07252007,\n", - " 0.07279438, 0.0860465 , 0.09027876, 0.08713658, 0.92611647,\n", - " 0.08797273, 0.08833816, 0.08835826, 0.08834604, 0.15372819,\n", - " 0.08853519, 0.84171182, 0.8194911 , 0.84170841, 0.84152445,\n", - " 0.8559843 , 0.84168916, 0.12422957, 0.13747836, 0.124252 ,\n", - " 0.84158759, 0.92705355, 0.84170472, 1.00030694, 0.84147367,\n", - " 0.09128573, 0.9270073 , 0.95248561, 0.34710737, 0.99454817,\n", - " 0.82993847]), array([0.07 , 0.07 , 0.07011149, 0.08796227, 0.07251657,\n", - " 0.07270478, 0.07350766, 0.09027876, 0.08325491, 0.92611647,\n", - " 0.08589261, 0.08780165, 0.08809833, 0.08821594, 0.15366671,\n", - " 0.08848726, 0.84171182, 0.8194911 , 0.84170841, 0.84152445,\n", - " 0.85598237, 0.84168705, 0.13303659, 0.15368851, 0.12950011,\n", - " 0.8415816 , 0.92705355, 0.84170089, 1.00030694, 0.84147367,\n", - " 0.09036102, 0.9270073 , 1.00053611, 0.34710737, 0.99454817,\n", - " 0.82792193]), array([0.07 , 0.07 , 0.07009602, 0.08796227, 0.0725155 ,\n", - " 0.07264374, 0.07335736, 0.09027876, 0.07342003, 0.92611647,\n", - " 0.08589261, 0.08738284, 0.08776421, 0.08797869, 0.15351505,\n", - " 0.08840793, 0.65092909, 0.8194911 , 0.84170841, 0.84152445,\n", - " 0.85598046, 0.84168497, 0.14821671, 0.15357656, 0.1356044 ,\n", - " 0.84157593, 0.92705355, 0.841697 , 1.00030694, 0.84147367,\n", - " 0.09036102, 0.9270073 , 1.00053611, 0.34710737, 0.99454817,\n", - " 0.82593207]), array([0.07 , 0.07 , 0.0700827 , 0.08796227, 0.07251583,\n", - " 0.07260249, 0.07322604, 0.09027876, 0.07330693, 0.92611647,\n", - " 0.07672201, 0.08738284, 0.08758612, 0.08777251, 0.1533421 ,\n", - " 0.08831776, 0.24017358, 0.8194911 , 0.84170841, 0.84152445,\n", - " 0.85597858, 0.84168291, 0.15354376, 0.15342523, 0.15139921,\n", - " 0.84157056, 0.92705355, 0.84169307, 1.00030694, 0.84147367,\n", - " 0.09036102, 0.9270073 , 1.00053611, 0.34710737, 0.99454817,\n", - " 0.82398113]), array([0.07 , 0.07 , 0.07007123, 0.07519247, 0.07251417,\n", - " 0.072574 , 0.07311261, 0.09027876, 0.07319363, 0.92611647,\n", - " 0.07328859, 0.08738284, 0.08749119, 0.08762476, 0.15319126,\n", - " 0.08822707, 0.14368683, 0.8194911 , 0.84170841, 0.84152445,\n", - " 0.85597672, 0.84168088, 0.15342834, 0.15327422, 0.15261146,\n", - " 0.84156546, 0.92705355, 0.84168909, 1.00030694, 0.84147367,\n", - " 0.09036102, 0.9270073 , 1.00053611, 0.34710737, 0.99454817,\n", - " 0.82206826]), array([0.07 , 0.07 , 0.07006135, 0.07038788, 0.07251314,\n", - " 0.07255438, 0.07301549, 0.09027876, 0.07308977, 0.92611647,\n", - " 0.07320093, 0.08738284, 0.08744059, 0.08752803, 0.15307675,\n", - " 0.08814078, 0.1435088 , 0.8194911 , 0.84170841, 0.84152445,\n", - " 0.85597489, 0.84167888, 0.15330777, 0.15314677, 0.15302745,\n", - " 0.84156064, 0.92705355, 0.8416851 , 1.00030694, 0.84147367,\n", - " 0.09840709, 0.9270073 , 1.00053611, 0.34710737, 0.99454817,\n", - " 0.8201678 ]), array([0.07 , 0.07 , 0.07005284, 0.07034145, 0.07251251,\n", - " 0.07254087, 0.07293292, 0.09027876, 0.07299833, 0.92611647,\n", - " 0.0731116 , 0.08150669, 0.08466957, 0.08602676, 0.15223186,\n", - " 0.08775993, 0.14330479, 0.8194911 , 0.84170841, 0.84152445,\n", - " 0.85597308, 0.8416769 , 0.15298596, 0.15255627, 0.15300266,\n", - " 0.84155607, 0.92705355, 0.84168108, 1.00030694, 0.84147367,\n", - " 0.52572206, 0.9270073 , 1.00053611, 0.34710737, 0.99454817,\n", - " 0.81827855]), array([0.07 , 0.07 , 0.07004551, 0.07030044, 0.07251211,\n", - " 0.0725316 , 0.07286311, 0.09027876, 0.07291949, 0.92611647,\n", - " 0.0730269 , 0.07384958, 0.08466957, 0.08531396, 0.15149973,\n", - " 0.08742086, 0.1430844 , 0.8194911 , 0.84170841, 0.84152445,\n", - " 0.8559713 , 0.84167495, 0.15250995, 0.15187436, 0.15270831,\n", - " 0.84155173, 0.92705355, 0.84167706, 1.00030694, 0.84147367,\n", - " 0.82147953, 0.9270073 , 1.00053611, 0.34710737, 0.99454817,\n", - " 0.81639954]), array([0.07 , 0.07 , 0.07003919, 0.07026424, 0.07251187,\n", - " 0.07252524, 0.07280433, 0.09027876, 0.07285235, 0.92611647,\n", - " 0.07294994, 0.07365221, 0.07529495, 0.08435238, 0.15068274,\n", - " 0.08742086, 0.14289665, 0.8194911 , 0.84170841, 0.84152445,\n", - " 0.85596953, 0.84167302, 0.15190844, 0.15110526, 0.15223045,\n", - " 0.84154763, 0.92705355, 0.84167303, 1.00030694, 0.84147367,\n", - " 0.84170841, 0.9270073 , 1.00053611, 0.34710737, 0.99454817,\n", - " 0.81453007]), array([0.07 , 0.07 , 0.07003376, 0.0702323 , 0.07251172,\n", - " 0.07252088, 0.07275502, 0.09027876, 0.0727956 , 0.92611647,\n", - " 0.07288189, 0.07348322, 0.0736259 , 0.07441836, 0.14798052,\n", - " 0.08742086, 0.14273671, 0.8194911 , 0.84170841, 0.84152445,\n", - " 0.85596779, 0.84167111, 0.15070088, 0.14908848, 0.15131665,\n", - " 0.84154374, 0.92705355, 0.841669 , 1.00030694, 0.84147367,\n", - " 0.84170841, 0.9270073 , 1.00053611, 0.34710737, 0.99454817,\n", - " 0.81266902]), array([0.07 , 0.07 , 0.07002907, 0.07020414, 0.07251163,\n", - " 0.07251789, 0.07271376, 0.09027876, 0.07274789, 0.92611647,\n", - " 0.07282281, 0.07333834, 0.07349161, 0.07393163, 0.14076418,\n", - " 0.08742086, 0.14260047, 0.8194911 , 0.84170841, 0.84152445,\n", - " 0.85596608, 0.84166923, 0.14770974, 0.1437158 , 0.1491618 ,\n", - " 0.84154006, 0.92705355, 0.84166499, 1.00030694, 0.84147367,\n", - " 0.84170841, 0.9270073 , 1.00053611, 0.34710737, 0.99454817,\n", - " 0.81081363]), array([0.07 , 0.07 , 0.07002504, 0.07017933, 0.07251157,\n", - " 0.07251585, 0.07267933, 0.09027876, 0.07270792, 0.92611647,\n", - " 0.07277215, 0.07321413, 0.07336203, 0.07363247, 0.14049719,\n", - " 0.08742086, 0.14248441, 0.8194911 , 0.84170841, 0.84152445,\n", - " 0.85596438, 0.84166738, 0.1451099 , 0.14163844, 0.14674111,\n", - " 0.84153657, 0.92705355, 0.84166099, 1.00030694, 0.84147367,\n", - " 0.84170841, 0.9270073 , 1.00053611, 0.34710737, 0.99454817,\n", - " 0.80896248]), array([0.09 , 0.07 , 0.07002156, 0.07015758, 0.0724879 ,\n", - " 0.07250686, 0.07264944, 0.09027876, 0.07267392, 0.92611647,\n", - " 0.07272904, 0.07310873, 0.07324465, 0.07343051, 0.13443508,\n", - " 0.08742086, 0.10141539, 0.8194911 , 0.84170841, 0.84152445,\n", - " 0.85596252, 0.84166534, 0.14172974, 0.13704701, 0.14379353,\n", - " 0.8415329 , 0.92705355, 0.84165657, 1.00030694, 0.84147367,\n", - " 0.84170841, 0.9270073 , 1.00053611, 0.34710736, 0.99454817,\n", - " 0.80719795]), array([0.09 , 0.07 , 0.07001856, 0.07013842, 0.07248788,\n", - " 0.07250076, 0.07262367, 0.09027876, 0.0726447 , 0.92611647,\n", - " 0.07269202, 0.07301818, 0.0731397 , 0.07327907, 0.13426208,\n", - " 0.08742086, 0.10132722, 0.8194911 , 0.84170841, 0.84152445,\n", - " 0.85596068, 0.84166333, 0.13902246, 0.13527189, 0.14098729,\n", - " 0.84152945, 0.92705355, 0.84165217, 1.00030694, 0.84147367,\n", - " 0.84170841, 0.9270073 , 1.00053611, 0.34710736, 0.99454817,\n", - " 0.80543545]), array([0.09 , 0.07 , 0.07001598, 0.07012155, 0.07248786,\n", - " 0.07249661, 0.07260165, 0.09027876, 0.07261967, 0.92611647,\n", - " 0.07266027, 0.07294042, 0.07304735, 0.0731584 , 0.13412465,\n", - " 0.08742086, 0.10125193, 0.8194911 , 0.84170841, 0.84152445,\n", - " 0.85595887, 0.84166135, 0.13714357, 0.13454064, 0.13872649,\n", - " 0.8415262 , 0.92705355, 0.84164782, 1.00030694, 0.84147367,\n", - " 0.84170841, 0.9270073 , 1.00053611, 0.34710736, 0.99454817,\n", - " 0.80367586]), array([0.09 , 0.07 , 0.07001376, 0.07010669, 0.07248786,\n", - " 0.07249379, 0.07258296, 0.09027876, 0.07259832, 0.92611647,\n", - " 0.07263308, 0.07287364, 0.07296685, 0.07305865, 0.13401343,\n", - " 0.08742086, 0.10118765, 0.8194911 , 0.84170841, 0.84152445,\n", - " 0.85595709, 0.8416594 , 0.13591148, 0.13420459, 0.13707076,\n", - " 0.84152314, 0.92705355, 0.84164351, 1.00030694, 0.84147367,\n", - " 0.84170841, 0.9270073 , 1.00053611, 0.34710736, 0.99454817,\n", - " 0.80192051]), array([0.09 , 0.08877628, 0.07001376, 0.07009389, 0.07081223,\n", - " 0.07195294, 0.07247376, 0.09027876, 0.0725259 , 0.92611647,\n", - " 0.07258604, 0.07281115, 0.0728947 , 0.07297327, 0.13392095,\n", - " 0.07491638, 0.10118765, 0.8194911 , 0.84170841, 0.84152445,\n", - " 0.85595533, 0.84165747, 0.13512012, 0.1340238 , 0.13592343,\n", - " 0.84152026, 0.92705355, 0.84163925, 1.00030694, 0.84147367,\n", - " 0.84170841, 0.9270073 , 1.00053611, 0.34710736, 0.99454817,\n", - " 0.80017071]), array([0.09 , 0.09 , 0.07001376, 0.07008284, 0.07636409,\n", - " 0.07337174, 0.0726294 , 0.09027876, 0.07258608, 0.92611647,\n", - " 0.07258605, 0.07276224, 0.07283332, 0.07290039, 0.13384306,\n", - " 0.07338351, 0.10118765, 0.8194911 , 0.84170841, 0.84152445,\n", - " 0.8559536 , 0.84165558, 0.13461222, 0.13390859, 0.1351522 ,\n", - " 0.84150808, 0.92705355, 0.84163471, 1.00030694, 0.84131112,\n", - " 0.84170841, 0.9270073 , 1.00053611, 0.36896332, 0.99454817,\n", - " 0.79842753]), array([0.09 , 0.09 , 0.07001376, 0.07007332, 0.086937 ,\n", - " 0.07337174, 0.07275806, 0.09027876, 0.07268607, 0.92611647,\n", - " 0.07262995, 0.0727335 , 0.07278706, 0.07284137, 0.1337787 ,\n", - " 0.07331793, 0.10118765, 0.8194911 , 0.84170841, 0.84152445,\n", - " 0.85595189, 0.84165371, 0.13428253, 0.1338258 , 0.13464068,\n", - " 0.84150808, 0.92705355, 0.84163033, 1.00030694, 0.82322658,\n", - " 0.84170841, 0.9270073 , 1.00053611, 0.3708556 , 0.99454817,\n", - " 0.79669172]), array([0.09 , 0.09 , 0.07001376, 0.07006511, 0.08705627,\n", - " 0.07337174, 0.07286442, 0.09027876, 0.07278977, 0.92611647,\n", - " 0.0727001 , 0.07272624, 0.07275887, 0.07279841, 0.1300933 ,\n", - " 0.07325647, 0.10118765, 0.8194911 , 0.84170841, 0.84152445,\n", - " 0.85595021, 0.84165186, 0.13309368, 0.1314467 , 0.13373077,\n", - " 0.84150808, 0.92705355, 0.84162611, 1.00030694, 0.75960794,\n", - " 0.84170841, 0.9270073 , 1.00053611, 0.3708556 , 0.99454817,\n", - " 0.79496281]), array([0.09 , 0.09 , 0.07001376, 0.07005804, 0.08712852,\n", - " 0.08554965, 0.07286442, 0.09027876, 0.07283318, 0.92611647,\n", - " 0.07275851, 0.07273325, 0.072747 , 0.07277164, 0.11513554,\n", - " 0.07320046, 0.10118765, 0.11619241, 0.80251376, 0.84152445,\n", - " 0.85594855, 0.84165005, 0.12945515, 0.12441449, 0.13121594,\n", - " 0.84150808, 0.92705355, 0.84162203, 1.00030694, 0.6564957 ,\n", - " 0.84170841, 0.9270073 , 1.00053611, 0.3708556 , 0.99454817,\n", - " 0.7932378 ]), array([0.09 , 0.09 , 0.07001376, 0.07005193, 0.08717178,\n", - " 0.08708279, 0.07286442, 0.09027876, 0.07285134, 0.92611647,\n", - " 0.07279925, 0.07274759, 0.07274727, 0.07275895, 0.08603309,\n", - " 0.07315063, 0.09897922, 0.09231725, 0.52778556, 0.84152445,\n", - " 0.85594691, 0.84164825, 0.12945515, 0.10258863, 0.13018028,\n", - " 0.84150808, 0.92705355, 0.84161809, 1.00030694, 0.51216882,\n", - " 0.84170841, 0.9270073 , 1.00053611, 0.3708556 , 0.97186275,\n", - " 0.79151827]), array([0.09 , 0.09 , 0.08607299, 0.07005193, 0.08719724,\n", - " 0.0871196 , 0.07286442, 0.09027876, 0.07285895, 0.92611647,\n", - " 0.07282545, 0.07276451, 0.07275526, 0.07275703, 0.0785503 ,\n", - " 0.07310717, 0.08711348, 0.10002815, 0.17165287, 0.84152445,\n", - " 0.8559453 , 0.84164649, 0.11294186, 0.08126355, 0.12501157,\n", - " 0.84150808, 0.92705355, 0.84161429, 1.00030694, 0.2633877 ,\n", - " 0.84170841, 0.9270073 , 1.00053611, 0.3708556 , 0.97075927,\n", - " 0.78979754]), array([0.09 , 0.09 , 0.0898495 , 0.07005193, 0.0872118 ,\n", - " 0.08714926, 0.07286442, 0.09027876, 0.07286213, 0.92611647,\n", - " 0.07284155, 0.07278125, 0.0727673 , 0.07276238, 0.07832883,\n", - " 0.0730698 , 0.08705536, 0.10263168, 0.08826573, 0.84152445,\n", - " 0.85594371, 0.84164475, 0.08890647, 0.07939295, 0.10573517,\n", - " 0.84150808, 0.92705355, 0.84161061, 1.00030694, 0.18070714,\n", - " 0.84170841, 0.9270073 , 1.00053611, 0.3708556 , 0.97075927,\n", - " 0.78805803]), array([0.09 , 0.09 , 0.08987025, 0.07005193, 0.08713797,\n", - " 0.08714559, 0.076227 , 0.09027876, 0.07483523, 0.92611647,\n", - " 0.07372904, 0.07299341, 0.07287459, 0.07282237, 0.07987755,\n", - " 0.07304856, 0.19975831, 0.10263168, 0.08826573, 0.84152445,\n", - " 0.85594265, 0.84164358, 0.08005371, 0.0797135 , 0.08345408,\n", - " 0.84150808, 0.92705355, 0.84160819, 1.00030694, 0.1381048 ,\n", - " 0.84170841, 0.9270073 , 1.00053611, 0.37085559, 0.97075927,\n", - " 0.78600087]), array([0.09 , 0.09 , 0.08988815, 0.07005193, 0.0871416 ,\n", - " 0.0871443 , 0.08686889, 0.09027876, 0.07838074, 0.92611647,\n", - " 0.07579974, 0.07362161, 0.07322903, 0.07303978, 0.08000653,\n", - " 0.0730682 , 0.19972132, 0.10195283, 0.08826573, 0.84152445,\n", - " 0.85594159, 0.84164243, 0.07998834, 0.07990733, 0.08131954,\n", - " 0.84150808, 0.92705355, 0.84160582, 1.00030694, 0.12514053,\n", - " 0.84170841, 0.9270073 , 1.00053611, 0.37085559, 0.9602656 ,\n", - " 0.78392314]), array([0.09 , 0.09 , 0.08990357, 0.07005193, 0.08714283,\n", - " 0.08714382, 0.0869171 , 0.09027876, 0.08689716, 0.92611647,\n", - " 0.07579974, 0.07410919, 0.07364665, 0.07336423, 0.08023228,\n", - " 0.07313115, 0.19969793, 0.09185615, 0.08826573, 0.84152445,\n", - " 0.85594055, 0.84164128, 0.08004815, 0.08012227, 0.0805365 ,\n", - " 0.84150808, 0.92705355, 0.84160351, 1.00030694, 0.12502846,\n", - " 0.84170841, 0.9270073 , 1.00053611, 0.37085559, 0.9540251 ,\n", - " 0.78185471]), array([0.09 , 0.09 , 0.08991687, 0.07005193, 0.08714266,\n", - " 0.08714345, 0.08695679, 0.09027876, 0.08693213, 0.82080512,\n", - " 0.08417549, 0.07410919, 0.07386611, 0.07363255, 0.08046727,\n", - " 0.07321113, 0.19968824, 0.09185615, 0.08826573, 0.61414441,\n", - " 0.85594055, 0.84164128, 0.08018316, 0.08035047, 0.08031888,\n", - " 0.84150808, 0.92705355, 0.84160125, 1.00030694, 0.12502846,\n", - " 0.84170841, 0.9270073 , 1.00053611, 0.37085559, 0.9540251 ,\n", - " 0.77979708]), array([0.09 , 0.09 , 0.08992834, 0.0860147 , 0.0871443 ,\n", - " 0.08714372, 0.08698957, 0.09027876, 0.08696581, 0.67421053,\n", - " 0.08693742, 0.07410919, 0.07398145, 0.07381908, 0.08066226,\n", - " 0.07329496, 0.19969066, 0.09185615, 0.08826573, 0.58138943,\n", - " 0.85594055, 0.84164128, 0.08034998, 0.08055671, 0.08033804,\n", - " 0.84150808, 0.92705355, 0.84159905, 1.00030694, 0.12502846,\n", - " 0.84170841, 0.9270073 , 1.00053611, 0.37085559, 0.9540251 ,\n", - " 0.77775114]), array([0.09 , 0.09 , 0.08993822, 0.08943665, 0.08714531,\n", - " 0.08714424, 0.08701669, 0.09027876, 0.08699565, 0.67421053,\n", - " 0.08696334, 0.07410919, 0.07404206, 0.07393829, 0.07668842,\n", - " 0.07337627, 0.19970302, 0.09185615, 0.08826573, 0.19163081,\n", - " 0.85594055, 0.84164128, 0.07929961, 0.07799797, 0.07969847,\n", - " 0.84150808, 0.92705355, 0.8415969 , 1.00030694, 0.12502846,\n", - " 0.82524522, 0.9270073 , 1.00053611, 0.37085559, 0.9540251 ,\n", - " 0.77571572]), array([0.09 , 0.09 , 0.08994674, 0.08950815, 0.08714593,\n", - " 0.08714479, 0.08703915, 0.09027876, 0.08702116, 0.15736757,\n", - " 0.08698908, 0.08058585, 0.07714694, 0.07565372, 0.07754435,\n", - " 0.07378662, 0.19976557, 0.1752777 , 0.08826573, 0.14630538,\n", - " 0.85594055, 0.84164128, 0.07858432, 0.07769792, 0.07901227,\n", - " 0.84150808, 0.92705355, 0.8415948 , 1.00030694, 0.12502846,\n", - " 0.66816971, 0.9270073 , 1.00053611, 0.37085559, 0.9540251 ,\n", - " 0.77369031]), array([0.09 , 0.09 , 0.08995408, 0.08957066, 0.08714631,\n", - " 0.08714528, 0.08705776, 0.09027876, 0.08704262, 0.14857663,\n", - " 0.08701291, 0.08643346, 0.08155318, 0.07880773, 0.07962594,\n", - " 0.07463183, 0.19992584, 0.63825412, 0.08826573, 0.092761 ,\n", - " 0.85594055, 0.84164128, 0.07875801, 0.07897324, 0.07885567,\n", - " 0.84150808, 0.92705355, 0.84159275, 1.00030694, 0.12502846,\n", - " 0.32907153, 0.9270073 , 1.00053611, 0.37085559, 0.93565016,\n", - " 0.7716758 ]), array([0.09 , 0.09 , 0.08996042, 0.0896253 , 0.08714655,\n", - " 0.08714569, 0.08707318, 0.09027876, 0.08706054, 0.1395912 ,\n", - " 0.08703412, 0.08656791, 0.08393256, 0.0815476 , 0.08193475,\n", - " 0.075644 , 0.1862724 , 0.8329837 , 0.08826573, 0.08795038,\n", - " 0.85594055, 0.84164128, 0.07972895, 0.08093218, 0.07939352,\n", - " 0.84150808, 0.92705355, 0.84159075, 1.00030694, 0.12502846,\n", - " 0.11937348, 0.9270073 , 1.00053611, 0.35739814, 0.93333144,\n", - " 0.76967376]), array([0.09 , 0.09 , 0.08996588, 0.08967304, 0.0871467 ,\n", - " 0.08714602, 0.08708595, 0.09027876, 0.08707544, 0.1321946 ,\n", - " 0.08705251, 0.08667639, 0.08523444, 0.08351869, 0.08392464,\n", - " 0.0766877 , 0.1825845 , 0.84170841, 0.08826573, 0.08795038,\n", - " 0.85594055, 0.84164128, 0.08115027, 0.08291159, 0.0804755 ,\n", - " 0.84150808, 0.92705355, 0.84158879, 1.00030694, 0.12502846,\n", - " 0.08826573, 0.9270073 , 1.00053611, 0.34567253, 0.93333144,\n", - " 0.76768569]), array([0.09 , 0.09 , 0.08997058, 0.08971475, 0.08714679,\n", - " 0.08714627, 0.08709653, 0.09027876, 0.08708781, 0.1321946 ,\n", - " 0.08706822, 0.0867641 , 0.08596023, 0.08482401, 0.08542929,\n", - " 0.0776968 , 0.18301498, 0.84170841, 0.08826573, 0.08795038,\n", - " 0.85594055, 0.84164128, 0.08268057, 0.08457696, 0.0818336 ,\n", - " 0.84150808, 0.92705355, 0.84158688, 1.00030694, 0.12502846,\n", - " 0.08826573, 0.9270073 , 1.00053611, 0.34567253, 0.93333144,\n", - " 0.76571251]), array([0.09 , 0.09 , 0.08997464, 0.08975118, 0.08714684,\n", - " 0.08714646, 0.08710529, 0.09027876, 0.08709806, 0.1321946 ,\n", - " 0.0870815 , 0.08683515, 0.08637536, 0.0856534 , 0.08648275,\n", - " 0.07864126, 0.15105239, 0.84170841, 0.08826573, 0.08795038,\n", - " 0.85594055, 0.84164128, 0.08409044, 0.08583758, 0.08322358,\n", - " 0.84150808, 0.92705355, 0.84158502, 1.00030694, 0.12953606,\n", - " 0.08826573, 0.9270073 , 1.00053611, 0.34567253, 0.9128027 ,\n", - " 0.76375447]), array([0.09 , 0.09 , 0.08997549, 0.08975692, 0.08802358,\n", - " 0.08721498, 0.08710919, 0.09027876, 0.08710013, 0.1321946 ,\n", - " 0.08708353, 0.08684405, 0.08642028, 0.08572939, 0.08491506,\n", - " 0.07885391, 0.13269029, 0.83952724, 0.08826573, 0.08795038,\n", - " 0.85594055, 0.84164128, 0.08321663, 0.08574764, 0.08264945,\n", - " 0.84150808, 0.92705355, 0.84158301, 1.00030694, 0.13823584,\n", - " 0.08826573, 0.9270073 , 1.00053611, 0.34567254, 0.90271706,\n", - " 0.76375447]), array([0.09 , 0.09 , 0.08997631, 0.08976254, 0.08802359,\n", - " 0.08727816, 0.08711519, 0.09027876, 0.08710294, 0.1321946 ,\n", - " 0.08708565, 0.0868527 , 0.08646173, 0.08580196, 0.08497641,\n", - " 0.07906188, 0.13270765, 0.83952724, 0.08826573, 0.08795038,\n", - " 0.85594055, 0.84164128, 0.08320977, 0.0857331 , 0.08264945,\n", - " 0.84150808, 0.92705355, 0.84158105, 1.00030694, 0.14957553,\n", - " 0.08826573, 0.9270073 , 1.00053611, 0.34567254, 0.89628686,\n", - " 0.76375447]), array([0.09 , 0.09 , 0.08997711, 0.08976803, 0.08802359,\n", - " 0.0873364 , 0.08712306, 0.09027876, 0.08710669, 0.1321946 ,\n", - " 0.08708794, 0.08686112, 0.0865 , 0.08587113, 0.0850383 ,\n", - " 0.07926521, 0.13457677, 0.79289766, 0.08826573, 0.08795038,\n", - " 0.85594055, 0.84164128, 0.08320299, 0.08571989, 0.08264945,\n", - " 0.83665074, 0.92705355, 0.8414521 , 1.00030694, 0.14957553,\n", - " 0.08826573, 0.9270073 , 1.00053611, 0.34567254, 0.89050132,\n", - " 0.76375447]), array([0.09 , 0.09 , 0.08997788, 0.0897734 , 0.0880236 ,\n", - " 0.08739009, 0.08713255, 0.09027876, 0.08711152, 0.1321946 ,\n", - " 0.08709051, 0.08686933, 0.0865354 , 0.08593695, 0.08510046,\n", - " 0.07946395, 0.1576554 , 0.38843602, 0.08826573, 0.08795038,\n", - " 0.85594055, 0.84164128, 0.08319629, 0.08570798, 0.08264945,\n", - " 0.82322658, 0.92705355, 0.8414521 , 1.00030694, 0.14957553,\n", - " 0.08826573, 0.9270073 , 1.00053611, 0.34567254, 0.90498504,\n", - " 0.76375447]), array([0.09 , 0.09 , 0.08997862, 0.08977866, 0.08802361,\n", - " 0.08743958, 0.08714347, 0.09027876, 0.08711748, 0.1321946 ,\n", - " 0.08709345, 0.08687735, 0.08656817, 0.0859995 , 0.08516265,\n", - " 0.07965815, 0.15767456, 0.10763192, 0.08826573, 0.08795038,\n", - " 0.85594055, 0.84164128, 0.08318967, 0.08569736, 0.08264945,\n", - " 0.76391087, 0.92705355, 0.8414521 , 1.00030694, 0.14957553,\n", - " 0.08826573, 0.9270073 , 1.00053611, 0.34567254, 0.92283429,\n", - " 0.76375447]), array([0.09 , 0.09 , 0.08997934, 0.0897838 , 0.08802361,\n", - " 0.08748521, 0.08715562, 0.09027876, 0.08712459, 0.1321946 ,\n", - " 0.08709685, 0.08688521, 0.08659856, 0.08605886, 0.08522465,\n", - " 0.07984787, 0.15769426, 0.09546058, 0.08826573, 0.08795038,\n", - " 0.85594055, 0.84164128, 0.08318313, 0.08568799, 0.08264945,\n", - " 0.69784057, 0.92705355, 0.8414521 , 1.00030694, 0.14957553,\n", - " 0.08826573, 0.9270073 , 1.00053611, 0.34567254, 0.94158644,\n", - " 0.76375447]), array([0.09 , 0.09 , 0.08998004, 0.08978882, 0.08802362,\n", - " 0.08752728, 0.08716883, 0.09027876, 0.08713284, 0.1321946 ,\n", - " 0.08710077, 0.08689293, 0.08662677, 0.08611514, 0.08528624,\n", - " 0.08003318, 0.15771446, 0.09546058, 0.08826573, 0.08795038,\n", - " 0.85594055, 0.84164128, 0.08317668, 0.08567985, 0.08264945,\n", - " 0.61814847, 0.92705355, 0.8414521 , 1.00030694, 0.14957553,\n", - " 0.08826573, 0.9270073 , 1.00053611, 0.34567254, 0.9735811 ,\n", - " 0.76375447]), array([0.09 , 0.09 , 0.08998071, 0.08979373, 0.08802362,\n", - " 0.08756605, 0.08718295, 0.09027876, 0.08714219, 0.1321946 ,\n", - " 0.08710529, 0.08690053, 0.08665301, 0.08616843, 0.08534727,\n", - " 0.08021414, 0.15773513, 0.09546058, 0.08826573, 0.08795038,\n", - " 0.85594055, 0.84164128, 0.0831703 , 0.08567291, 0.08264945,\n", - " 0.51216882, 0.92705355, 0.8414521 , 1.00030694, 0.14957553,\n", - " 0.08826573, 0.9270073 , 1.00053611, 0.34567254, 0.9735811 ,\n", - " 0.76375447]), array([0.09 , 0.09 , 0.08998135, 0.08979854, 0.08802363,\n", - " 0.0876018 , 0.08719784, 0.09027876, 0.08715257, 0.1321946 ,\n", - " 0.08711044, 0.08690804, 0.08667745, 0.08621887, 0.08540756,\n", - " 0.08039082, 0.15775625, 0.42410321, 0.08826573, 0.08795038,\n", - " 0.85594055, 0.84164128, 0.08316399, 0.08566712, 0.08264945,\n", - " 0.28021434, 0.92705355, 0.8414521 , 1.00030694, 0.14957553,\n", - " 0.08826573, 0.9270073 , 1.00053611, 0.34567254, 0.9735811 ,\n", - " 0.76375447]), array([0.09 , 0.09 , 0.08998198, 0.08980324, 0.08802363,\n", - " 0.08763476, 0.08721338, 0.09027876, 0.08716391, 0.1321946 ,\n", - " 0.08711627, 0.0869155 , 0.08670027, 0.08626657, 0.08546698,\n", - " 0.0805633 , 0.15777778, 0.81966831, 0.08826573, 0.08795038,\n", - " 0.85594055, 0.84164128, 0.08316399, 0.08566247, 0.6746499 ,\n", - " 0.21385954, 0.92705355, 0.8414521 , 1.00030694, 0.14957553,\n", - " 0.08826573, 0.9270073 , 1.00053611, 0.34567254, 0.97930119,\n", - " 0.76375447]), array([0.09 , 0.09 , 0.08998259, 0.08980783, 0.08802363,\n", - " 0.08766514, 0.08722944, 0.09027876, 0.08717613, 0.1321946 ,\n", - " 0.08712279, 0.08692292, 0.08672161, 0.08631166, 0.08552541,\n", - " 0.08073164, 0.15779969, 0.81966831, 0.08826573, 0.08795038,\n", - " 0.85594055, 0.84164128, 0.08316399, 0.0856589 , 0.76375447,\n", - " 0.16938783, 0.92705355, 0.8414521 , 1.00030694, 0.14957553,\n", - " 0.09764942, 0.9270073 , 1.00053611, 0.34567254, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.09 , 0.08998317, 0.08981232, 0.08802364,\n", - " 0.08769315, 0.08724592, 0.09027876, 0.08718915, 0.1321946 ,\n", - " 0.08713003, 0.08693033, 0.08674161, 0.08635427, 0.08558274,\n", - " 0.08089593, 0.16137439, 0.81966831, 0.08826573, 0.08795038,\n", - " 0.85594055, 0.84164128, 0.08316399, 0.08565638, 0.76375447,\n", - " 0.13350122, 0.92705355, 0.8414521 , 1.00030694, 0.14957553,\n", - " 0.10892933, 0.9270073 , 1.00053611, 0.34567254, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08997292, 0.08989567, 0.08926082, 0.08768439,\n", - " 0.0872453 , 0.08718281, 0.09027876, 0.08711684, 0.1321946 ,\n", - " 0.08692135, 0.0866744 , 0.0861653 , 0.08540371, 0.08499288,\n", - " 0.0810403 , 0.1960686 , 0.81966831, 0.08826573, 0.08795038,\n", - " 0.85594055, 0.84164128, 0.08316399, 0.08388138, 0.76375447,\n", - " 0.12544843, 0.92705355, 0.8414521 , 1.00030694, 0.14957553,\n", - " 0.11348886, 0.9270073 , 1.00053611, 0.34567254, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08994608, 0.0898933 , 0.08926082, 0.08767579,\n", - " 0.08724461, 0.08717589, 0.09027876, 0.08710375, 0.1321946 ,\n", - " 0.08690976, 0.08659137, 0.08596245, 0.08514495, 0.08455118,\n", - " 0.08117514, 0.19606913, 0.81966831, 0.08826573, 0.08795038,\n", - " 0.85594055, 0.84164128, 0.33024587, 0.08388138, 0.76375447,\n", - " 0.12544843, 0.92705355, 0.8414521 , 0.99369716, 0.1422828 ,\n", - " 0.25567572, 0.9270073 , 1.00053611, 0.34567254, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08991945, 0.08989085, 0.08926082, 0.08766735,\n", - " 0.08724385, 0.08716841, 0.09027876, 0.08709056, 0.1436401 ,\n", - " 0.08689513, 0.08649302, 0.08574804, 0.08488394, 0.08428501,\n", - " 0.08130042, 0.19606968, 0.81966831, 0.08826573, 0.08795038,\n", - " 0.85594055, 0.84164128, 0.76375447, 0.08388138, 0.76375447,\n", - " 0.12544843, 0.92705355, 0.8414521 , 0.96419686, 0.1335169 ,\n", - " 0.28351858, 0.9270073 , 1.00053611, 0.34567254, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08989304, 0.08988831, 0.08926082, 0.08765905,\n", - " 0.08724302, 0.0871604 , 0.09027876, 0.08707707, 0.14699378,\n", - " 0.08687707, 0.08638076, 0.08553044, 0.08465347, 0.08412461,\n", - " 0.08141631, 0.19607024, 0.81966831, 0.08826573, 0.08795038,\n", - " 0.85594055, 0.84164128, 0.76375447, 0.08388138, 0.76375447,\n", - " 0.12544843, 0.92705355, 0.8414521 , 0.90196776, 0.1335169 ,\n", - " 0.51763725, 0.9270073 , 1.00053611, 0.33784682, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08986685, 0.0898857 , 0.08926082, 0.0876509 ,\n", - " 0.08724212, 0.08715187, 0.09027876, 0.08706305, 0.14699378,\n", - " 0.08685532, 0.08625754, 0.08532419, 0.08449295, 0.08412461,\n", - " 0.08152337, 0.19607081, 0.81966831, 0.08826573, 0.08795038,\n", - " 0.85594055, 0.84164128, 0.76375447, 0.20886781, 0.76375447,\n", - " 0.12544843, 0.92705355, 0.8414521 , 0.82724652, 0.1335169 ,\n", - " 0.55846995, 0.9270073 , 1.00053611, 0.33317365, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08984086, 0.08988301, 0.08926082, 0.08764289,\n", - " 0.08724113, 0.0871428 , 0.09027876, 0.08704831, 0.14699378,\n", - " 0.08682983, 0.08612942, 0.08515894, 0.08449295, 0.14444632,\n", - " 0.08162297, 0.19607139, 0.81966831, 0.08826573, 0.08795038,\n", - " 0.85594055, 0.84164128, 0.76375447, 0.55017486, 0.76375447,\n", - " 0.12544843, 0.92705355, 0.8414521 , 0.73420823, 0.1335169 ,\n", - " 0.66885884, 0.9270073 , 1.00053611, 0.32663232, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08981509, 0.08988024, 0.08926082, 0.08763501,\n", - " 0.08724006, 0.08713315, 0.09027876, 0.08703266, 0.14699378,\n", - " 0.08680073, 0.08600079, 0.08502654, 0.08449295, 0.37391266,\n", - " 0.08171622, 0.19607198, 0.81966831, 0.08826573, 0.08795038,\n", - " 0.85594055, 0.84164128, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.13072765, 0.92705355, 0.8414521 , 0.69466577, 0.1335169 ,\n", - " 0.68583167, 0.9270073 , 1.00053611, 0.3148227 , 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08978953, 0.0898774 , 0.08926082, 0.08762727,\n", - " 0.08723889, 0.08712288, 0.09027876, 0.08701597, 0.14699378,\n", - " 0.08676865, 0.08588717, 0.08502654, 0.12678089, 0.65345493,\n", - " 0.08180691, 0.19607258, 0.81966831, 0.08826573, 0.07626618,\n", - " 0.85594055, 0.84164128, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.14589106, 0.92705355, 0.8414521 , 0.6711763 , 0.1335169 ,\n", - " 0.69754117, 0.9270073 , 1.00053611, 0.31001224, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08976418, 0.08987448, 0.08926082, 0.08761965,\n", - " 0.08723763, 0.08711195, 0.09027876, 0.08699816, 0.14699378,\n", - " 0.08673418, 0.0857868 , 0.08502654, 0.30629978, 0.76375447,\n", - " 0.08189512, 0.19607318, 0.81966831, 0.08826573, 0.07405132,\n", - " 0.85594055, 0.84164128, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.14881437, 0.92705355, 0.8414521 , 0.65271987, 0.1335169 ,\n", - " 0.69910806, 0.9270073 , 1.00053611, 0.31001224, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08973903, 0.08987149, 0.08926082, 0.08761215,\n", - " 0.08723627, 0.08710032, 0.09027876, 0.08697917, 0.14699378,\n", - " 0.0866978 , 0.08569814, 0.08502654, 0.57108704, 0.76375447,\n", - " 0.0819809 , 0.19607379, 0.81966831, 0.08826573, 0.07405132,\n", - " 0.85594055, 0.84164128, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.14881437, 0.92705355, 0.8414521 , 0.63108933, 0.12840891,\n", - " 0.69910806, 0.9270073 , 1.00053611, 0.31001224, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08971409, 0.08986843, 0.08926082, 0.08760477,\n", - " 0.0872348 , 0.08708793, 0.09027876, 0.086959 , 0.14699378,\n", - " 0.08665996, 0.08561981, 0.08502654, 0.73125441, 0.76375447,\n", - " 0.08206434, 0.19607441, 0.81966831, 0.08426119, 0.07405132,\n", - " 0.85594055, 0.84164128, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.14881437, 0.92705355, 0.8414521 , 0.59910784, 0.09933749,\n", - " 0.69910122, 0.9270073 , 1.00053611, 0.31001224, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08968936, 0.0898653 , 0.08926082, 0.08759751,\n", - " 0.08723321, 0.08707478, 0.09027876, 0.08693778, 0.14699378,\n", - " 0.08662344, 0.08561981, 0.12551942, 0.76375447, 0.76375447,\n", - " 0.08206434, 0.17984885, 0.81966831, 0.07543207, 0.07405132,\n", - " 0.85594055, 0.84164128, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.14881437, 0.92705355, 0.8414521 , 0.56791928, 0.08158777,\n", - " 0.69910122, 0.9270073 , 1.00053611, 0.31001224, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.0896524 , 0.08986041, 0.08926082, 0.08758676,\n", - " 0.08723051, 0.08705308, 0.09027876, 0.0869038 , 0.14369111,\n", - " 0.08657105, 0.08561981, 0.38726932, 0.76375447, 0.76375447,\n", - " 0.08206434, 0.08677321, 0.68758998, 0.07551451, 0.07405132,\n", - " 0.85594055, 0.84164128, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.14881437, 0.92705355, 0.8414521 , 0.5557132 , 0.08158777,\n", - " 0.69910446, 0.9270073 , 1.00053611, 0.31001224, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08961591, 0.08985537, 0.08926082, 0.08757623,\n", - " 0.08722751, 0.08702964, 0.09027876, 0.08686837, 0.13412572,\n", - " 0.0865214 , 0.08561981, 0.67657486, 0.76375447, 0.76375447,\n", - " 0.08206434, 0.08690997, 0.50986276, 0.07559591, 0.07405132,\n", - " 0.85594055, 0.84164128, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.14881437, 0.92705355, 0.8414521 , 0.55214129, 0.08158777,\n", - " 0.69910446, 0.9270073 , 1.00053611, 0.31001224, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08957987, 0.08985018, 0.08926082, 0.08756592,\n", - " 0.08722418, 0.08700454, 0.09027876, 0.08683186, 0.12272579,\n", - " 0.08647434, 0.08561981, 0.76368607, 0.76375447, 0.76375447,\n", - " 0.08206434, 0.08463394, 0.50986276, 0.07567631, 0.07405132,\n", - " 0.85594055, 0.84164128, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.14881437, 0.92705355, 0.8414521 , 0.53796436, 0.08158777,\n", - " 0.69910446, 0.9270073 , 1.00053611, 0.31001224, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08954429, 0.08984485, 0.08926082, 0.08755579,\n", - " 0.08722049, 0.08697789, 0.09027876, 0.0867946 , 0.12272579,\n", - " 0.08642973, 0.08561981, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.08206434, 0.08463485, 0.50986276, 0.07575571, 0.07405132,\n", - " 0.85594055, 0.84164128, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.13621492, 0.92705355, 0.8414521 , 0.52356752, 0.08158777,\n", - " 0.69910446, 0.9270073 , 1.00053611, 0.31001224, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08950917, 0.08983938, 0.08926082, 0.08754585,\n", - " 0.08721645, 0.08695034, 0.09027876, 0.08676079, 0.12272579,\n", - " 0.08642973, 0.11179684, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.08206434, 0.08463575, 0.50986276, 0.07583412, 0.07405132,\n", - " 0.85594055, 0.84164128, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.13287841, 0.92705355, 0.84015825, 0.50234149, 0.08158777,\n", - " 0.69910446, 0.9270073 , 1.00053611, 0.31001224, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08947448, 0.08983378, 0.08926082, 0.08753607,\n", - " 0.08721206, 0.08692239, 0.09027876, 0.08673011, 0.12272579,\n", - " 0.08642973, 0.38605429, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.08206434, 0.08463665, 0.50986276, 0.07591155, 0.07405132,\n", - " 0.85594055, 0.84164128, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.13287841, 0.92705355, 0.77612027, 0.46478014, 0.08158777,\n", - " 0.69910446, 0.9270073 , 1.00053611, 0.31001224, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08944024, 0.08982805, 0.08926082, 0.08752644,\n", - " 0.08720731, 0.08689446, 0.09027876, 0.08670228, 0.12272579,\n", - " 0.08642973, 0.67523191, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.08206434, 0.08463755, 0.50986276, 0.07598803, 0.07405132,\n", - " 0.85594055, 0.84164128, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.13287841, 0.92705355, 0.61521549, 0.43249316, 0.08158777,\n", - " 0.69910446, 0.9270073 , 1.00053611, 0.31001224, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08940643, 0.08982219, 0.08926082, 0.08751694,\n", - " 0.08720222, 0.08686686, 0.09027876, 0.08667702, 0.12272579,\n", - " 0.08642973, 0.76333844, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.08206434, 0.08463844, 0.50986276, 0.07606355, 0.07405132,\n", - " 0.85594055, 0.84164128, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.13287841, 0.92705355, 0.30546511, 0.4123009 , 0.08158777,\n", - " 0.69910446, 0.9270073 , 1.00053611, 0.3161336 , 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08937305, 0.08981621, 0.08926082, 0.08750756,\n", - " 0.0871968 , 0.08683986, 0.09027876, 0.08665411, 0.12272579,\n", - " 0.08642973, 0.76374497, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.08206434, 0.09742942, 0.41501011, 0.07613814, 0.07405132,\n", - " 0.85594055, 0.84164128, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.11594306, 0.92705355, 0.15636019, 0.40659916, 0.59287223,\n", - " 0.69910446, 0.9270073 , 1.00053611, 0.32030924, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.0893401 , 0.08981012, 0.08926082, 0.08749829,\n", - " 0.08719107, 0.08681365, 0.09027876, 0.08663332, 0.12272579,\n", - " 0.08642973, 0.76374655, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.08206434, 0.26723799, 0.1333249 , 0.07621179, 0.07600904,\n", - " 0.85594055, 0.84164128, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.08435315, 0.92705355, 0.12685679, 0.40659916, 0.76375447,\n", - " 0.69910446, 0.9270073 , 1.00053611, 0.32030924, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08930756, 0.0898039 , 0.08926082, 0.08748911,\n", - " 0.08718505, 0.08678837, 0.09027876, 0.08661445, 0.12272579,\n", - " 0.08642973, 0.76374787, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.08206434, 0.63471586, 0.15779873, 0.07628453, 0.08546664,\n", - " 0.85594055, 0.84164128, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.08158777, 0.92705355, 0.12685679, 0.40659916, 0.76375447,\n", - " 0.69910446, 0.9270073 , 1.00053611, 0.32030924, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08927544, 0.08979758, 0.08926082, 0.08748002,\n", - " 0.08717875, 0.08676412, 0.09027876, 0.08659734, 0.12272579,\n", - " 0.08642973, 0.76374897, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.08206434, 0.74329076, 0.15813132, 0.07635637, 0.08546664,\n", - " 0.85594055, 0.84164128, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.08158777, 0.92705355, 0.12685679, 0.40659916, 0.76375447,\n", - " 0.69910446, 0.9270073 , 1.00053611, 0.32030924, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08923758, 0.08978986, 0.08926082, 0.08746924,\n", - " 0.08717087, 0.08673671, 0.09027876, 0.08657909, 0.11332022,\n", - " 0.08642973, 0.76375003, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.08206434, 0.7432918 , 0.15813132, 0.07644105, 0.08546664,\n", - " 0.85594055, 0.84164128, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.08158777, 0.92705355, 0.12685679, 0.40659916, 0.76375447,\n", - " 0.69910446, 0.9270073 , 1.00053611, 0.32030925, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08920029, 0.089782 , 0.08926082, 0.08745856,\n", - " 0.08716267, 0.08671095, 0.09027876, 0.08656283, 0.10640655,\n", - " 0.08642973, 0.76375089, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.08206434, 0.74329282, 0.17663493, 0.07652446, 0.08546664,\n", - " 0.85594055, 0.84164128, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.08158777, 0.92705355, 0.14025968, 0.40659916, 0.76375447,\n", - " 0.69910446, 0.9270073 , 1.00053611, 0.33938853, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08916357, 0.08977399, 0.08926082, 0.08744795,\n", - " 0.08715418, 0.08668686, 0.09027876, 0.08654833, 0.10640655,\n", - " 0.08642973, 0.76375158, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.08206434, 0.74329384, 0.19607144, 0.07660664, 0.08546664,\n", - " 0.85594055, 0.84164128, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.08158777, 0.92705355, 0.14850796, 0.40659916, 0.76375447,\n", - " 0.61428212, 0.9270073 , 1.00053611, 0.45159847, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08912739, 0.08976585, 0.08926082, 0.0874374 ,\n", - " 0.08714544, 0.08666443, 0.09051552, 0.08653542, 0.10640655,\n", - " 0.08642973, 0.76375213, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.08206434, 0.74329485, 0.19607144, 0.0766876 , 0.08546664,\n", - " 0.85594055, 0.84164128, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.08158777, 0.92705355, 0.14850796, 0.40659916, 0.76375447,\n", - " 0.12436519, 0.9270073 , 1.00053611, 0.74916687, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08909175, 0.08975758, 0.08926082, 0.08742692,\n", - " 0.08713649, 0.08664361, 0.13681758, 0.08652391, 0.10640655,\n", - " 0.08642973, 0.76375258, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.08206434, 0.74329586, 0.19607144, 0.07676737, 0.08546664,\n", - " 0.85594055, 0.84164128, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.1523686 , 0.92705355, 0.14850796, 0.40659916, 0.76375447,\n", - " 0.368928 , 0.9270073 , 1.00053611, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08905664, 0.08974919, 0.08926082, 0.08741648,\n", - " 0.08712735, 0.08662436, 0.28791303, 0.08651366, 0.10640655,\n", - " 0.08642973, 0.76375295, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.08206434, 0.74329686, 0.19607144, 0.07684594, 0.08546664,\n", - " 0.85594055, 0.84164128, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.64458399, 0.92705355, 0.14850796, 0.40020018, 0.76375447,\n", - " 0.68130604, 0.9270073 , 1.00053611, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08902204, 0.08974068, 0.08926082, 0.08740608,\n", - " 0.08711807, 0.0866066 , 0.60653741, 0.08650452, 0.10227319,\n", - " 0.08642973, 0.76375324, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.08206434, 0.74329785, 0.19607144, 0.07692335, 0.08546664,\n", - " 0.85594055, 0.84164128, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.92705355, 0.14326547, 0.407957 , 0.76375447,\n", - " 0.68130604, 0.9270073 , 1.00053611, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08898796, 0.08973205, 0.08926082, 0.08739571,\n", - " 0.08710865, 0.08659027, 0.84124582, 0.08649638, 0.08808507,\n", - " 0.08642973, 0.76375348, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.08206434, 0.74329884, 0.18937001, 0.07699962, 0.13993674,\n", - " 0.85594055, 0.84164128, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.92705355, 0.13354571, 0.41528978, 0.76375447,\n", - " 0.68130604, 0.9270073 , 1.00053611, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08895437, 0.08972331, 0.08926082, 0.08738537,\n", - " 0.08709916, 0.08657636, 0.84124582, 0.08649638, 0.08808507,\n", - " 0.09936394, 0.76375367, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.08206434, 0.74329981, 0.09835925, 0.07707475, 0.46904139,\n", - " 0.85594055, 0.84164128, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.92705355, 0.13354571, 0.4102202 , 0.76375447,\n", - " 0.68130604, 0.9270073 , 1.00053611, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08892127, 0.08971447, 0.08926082, 0.08737506,\n", - " 0.08708962, 0.08656451, 0.84124582, 0.08649638, 0.08808507,\n", - " 0.2966629 , 0.76375382, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.23566608, 0.74329981, 0.08518754, 0.07707475, 0.74706979,\n", - " 0.85594055, 0.84164128, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.92705355, 0.13354571, 0.38067157, 0.76375447,\n", - " 0.68130604, 0.9270073 , 1.00053611, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08888865, 0.08970553, 0.08926082, 0.08736478,\n", - " 0.08708007, 0.08655442, 0.84124582, 0.08649638, 0.08808507,\n", - " 0.6286684 , 0.76375395, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.55761976, 0.74329981, 0.08518754, 0.07707475, 0.76375447,\n", - " 0.74698113, 0.78709578, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.92705355, 0.13053079, 0.41494682, 0.76375447,\n", - " 0.68130604, 0.9270073 , 1.00053611, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.0888565 , 0.0896965 , 0.08926082, 0.08735453,\n", - " 0.08707054, 0.08654582, 0.84124582, 0.08649638, 0.08808507,\n", - " 0.76373014, 0.76375405, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.74221938, 0.74329981, 0.08518754, 0.07707475, 0.76375447,\n", - " 0.30314569, 0.35965269, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.92705355, 0.10453753, 0.55540429, 0.76375447,\n", - " 0.68130604, 0.9270073 , 1.00053611, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08882667, 0.08968792, 0.08926082, 0.08734491,\n", - " 0.08706162, 0.08653887, 0.84124582, 0.08649638, 0.08808507,\n", - " 0.76373154, 0.76375413, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375179, 0.74329981, 0.08518754, 0.07707475, 0.76375447,\n", - " 0.17047943, 0.096367 , 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.92705355, 0.08194296, 0.7946507 , 0.76375447,\n", - " 0.60105416, 0.9270073 , 1.00053611, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08879724, 0.08967927, 0.08926082, 0.08733531,\n", - " 0.08705274, 0.0865329 , 0.84124582, 0.08649638, 0.08808507,\n", - " 0.76373286, 0.76375419, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375191, 0.74329981, 0.08518754, 0.07707475, 0.76375447,\n", - " 0.17047943, 0.08811309, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.92705355, 0.08194296, 0.94209932, 0.76375447,\n", - " 0.45021179, 0.9270073 , 1.00053611, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08876821, 0.08967054, 0.08926082, 0.08732574,\n", - " 0.08704392, 0.08652777, 0.84124582, 0.08649638, 0.08808507,\n", - " 0.76373411, 0.76375424, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375203, 0.74329981, 0.08518754, 0.07707475, 0.76375447,\n", - " 0.17047943, 0.08811309, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.92705355, 0.08194296, 0.94441596, 0.76375447,\n", - " 0.43010471, 0.81016089, 1.00053611, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08873955, 0.08966174, 0.08926082, 0.0873162 ,\n", - " 0.08703518, 0.08652336, 0.84124582, 0.08649638, 0.10510501,\n", - " 0.76373528, 0.76375428, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375214, 0.74329981, 0.11536436, 0.07707475, 0.76375447,\n", - " 0.17047943, 0.08811309, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.92705355, 0.08194296, 0.94441596, 0.76375447,\n", - " 0.43010471, 0.62803202, 1.00053611, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08871129, 0.08965288, 0.08926082, 0.08730724,\n", - " 0.08704323, 0.08751421, 0.84124582, 0.09357346, 0.1054875 ,\n", - " 0.76373639, 0.76375432, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375225, 0.74329981, 0.34701706, 0.07707475, 0.76375447,\n", - " 0.17047943, 0.08811309, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.92705355, 0.08194296, 0.94441596, 0.76375447,\n", - " 0.43010471, 0.30457988, 1.00053611, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08868342, 0.08964395, 0.08926082, 0.08729883,\n", - " 0.08705113, 0.08751421, 0.84124582, 0.1953502 , 0.1054875 ,\n", - " 0.76373744, 0.76375434, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375235, 0.74329981, 0.67035344, 0.07707475, 0.76375447,\n", - " 0.17047943, 0.08811309, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.92705355, 0.08194296, 0.94441596, 0.76375447,\n", - " 0.43010471, 0.15697224, 1.00053611, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08865594, 0.08963496, 0.08926082, 0.08729095,\n", - " 0.08705891, 0.08751421, 0.84124582, 0.4371044 , 0.1054875 ,\n", - " 0.76373843, 0.76375437, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375245, 0.74329981, 0.74329758, 0.07707475, 0.76375447,\n", - " 0.17047943, 0.08811309, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.92705355, 0.11265696, 0.94441596, 0.76375447,\n", - " 0.43010471, 0.13859686, 0.99999287, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08862886, 0.08962592, 0.08926082, 0.08728358,\n", - " 0.08706655, 0.08751421, 0.84124582, 0.67722722, 0.1054875 ,\n", - " 0.76373936, 0.76375439, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375254, 0.74329981, 0.74329769, 0.07707475, 0.76375447,\n", - " 0.17047943, 0.08811309, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.92705355, 0.33578156, 0.94441596, 0.76375447,\n", - " 0.381017 , 0.13859686, 0.98173595, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08860218, 0.08961682, 0.08926082, 0.0872767 ,\n", - " 0.08707407, 0.08751421, 0.84124582, 0.76373556, 0.1054875 ,\n", - " 0.76374024, 0.7637544 , 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375263, 0.74329981, 0.7432978 , 0.07707475, 0.76375447,\n", - " 0.17047943, 0.08811309, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.92705355, 0.6814238 , 0.94441596, 0.76375447,\n", - " 0.18204057, 0.13859686, 0.85548504, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.0885759 , 0.08960767, 0.08926082, 0.08727028,\n", - " 0.08708146, 0.08751421, 0.73826695, 0.76373613, 0.1054875 ,\n", - " 0.76374106, 0.76375441, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375271, 0.74329981, 0.7432979 , 0.07707475, 0.76375447,\n", - " 0.17047943, 0.08811309, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.92705355, 0.76375447, 0.94441596, 0.76375447,\n", - " 0.14202933, 0.13859686, 0.70531257, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08855002, 0.08959848, 0.08926082, 0.08726432,\n", - " 0.08708873, 0.08751421, 0.17545656, 0.76373672, 0.1054875 ,\n", - " 0.76374184, 0.76375442, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375279, 0.74329981, 0.74329799, 0.07707475, 0.76375447,\n", - " 0.16614783, 0.08722254, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.92705355, 0.76375447, 0.94441596, 0.76375447,\n", - " 0.14482402, 0.13859686, 0.53738682, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08852454, 0.08958924, 0.08926082, 0.08725856,\n", - " 0.08708873, 0.18292701, 0.08820789, 0.76373732, 0.1054875 ,\n", - " 0.76374258, 0.76375443, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375287, 0.74329981, 0.74329808, 0.07707475, 0.76375447,\n", - " 0.1579218 , 0.07430848, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.92705355, 0.76375447, 0.94441596, 0.76375447,\n", - " 0.14511373, 0.13859686, 0.49941497, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08850515, 0.08958211, 0.08926082, 0.08725423,\n", - " 0.08708873, 0.4009266 , 0.08820789, 0.76373779, 0.1054875 ,\n", - " 0.76374312, 0.76375444, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375292, 0.74329981, 0.74329815, 0.07707475, 0.76375447,\n", - " 0.15792179, 0.07430848, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.92705355, 0.76375447, 0.94441596, 0.76375447,\n", - " 0.15991177, 0.13859686, 0.450386 , 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.088486 , 0.08957495, 0.08926082, 0.08725001,\n", - " 0.08708873, 0.56950426, 0.08820789, 0.76373827, 0.1054875 ,\n", - " 0.76374363, 0.76375444, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375298, 0.74329981, 0.74329821, 0.07707475, 0.76375447,\n", - " 0.15792179, 0.07430848, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.92705355, 0.76375447, 0.94441596, 0.76375447,\n", - " 0.16947043, 0.13859686, 0.40761242, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08846708, 0.08956776, 0.08926082, 0.0872459 ,\n", - " 0.08708873, 0.6990636 , 0.08820789, 0.76373874, 0.1054875 ,\n", - " 0.76374413, 0.76375445, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375303, 0.74329981, 0.74329827, 0.07707475, 0.76375447,\n", - " 0.15789824, 0.07430848, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.92705355, 0.76375447, 0.94441596, 0.76375447,\n", - " 0.17476595, 0.13859686, 0.35152742, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08844838, 0.08956056, 0.08926082, 0.0872419 ,\n", - " 0.08708873, 0.76373734, 0.08820789, 0.76373922, 0.10247315,\n", - " 0.7637446 , 0.76375445, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375308, 0.74329981, 0.74329833, 0.07707475, 0.76375447,\n", - " 0.15677021, 0.07430848, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.92705355, 0.76375447, 0.94441596, 0.76375447,\n", - " 0.17476595, 0.13859686, 0.27868357, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08842991, 0.08955334, 0.08926082, 0.087238 ,\n", - " 0.08708873, 0.7637376 , 0.08820789, 0.76373969, 0.09028299,\n", - " 0.76374504, 0.76375445, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375313, 0.74329981, 0.74329839, 0.07707475, 0.76375447,\n", - " 0.15677021, 0.07430848, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.92705355, 0.76375447, 0.94441596, 0.76375447,\n", - " 0.17476595, 0.13859686, 0.24222373, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08841166, 0.0895461 , 0.08926082, 0.0872342 ,\n", - " 0.08708873, 0.76373789, 0.08820789, 0.76374016, 0.09028299,\n", - " 0.76374547, 0.76375445, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375318, 0.74329981, 0.74329844, 0.07707475, 0.76375447,\n", - " 0.15677021, 0.07430848, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.92705355, 0.76375447, 0.94441596, 0.76375447,\n", - " 0.17476595, 0.13859686, 0.2215823 , 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08839364, 0.08953884, 0.08926082, 0.08723049,\n", - " 0.08708873, 0.7637382 , 0.08820789, 0.76374063, 0.09028299,\n", - " 0.76374588, 0.76375446, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375323, 0.74329981, 0.74329849, 0.07707475, 0.76375447,\n", - " 0.15677021, 0.07430848, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.91171927, 0.76375447, 0.94441596, 0.76375447,\n", - " 0.17476595, 0.13859686, 0.21257306, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08837583, 0.08953157, 0.08926082, 0.08722688,\n", - " 0.08708873, 0.76373852, 0.08820789, 0.76374109, 0.09028299,\n", - " 0.76374627, 0.76375446, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375327, 0.74329981, 0.74329855, 0.07707475, 0.76375447,\n", - " 0.15677021, 0.07430848, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.85445989, 0.76375447, 0.94441596, 0.76375447,\n", - " 0.17476595, 0.13859686, 0.21257306, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08835825, 0.08952429, 0.08926082, 0.08722336,\n", - " 0.08708873, 0.76373886, 0.08820789, 0.76374154, 0.09028299,\n", - " 0.76374664, 0.76375446, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375331, 0.74329981, 0.74329859, 0.07707475, 0.76375447,\n", - " 0.15677021, 0.07430848, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.68501582, 0.76375447, 0.94441596, 0.76375447,\n", - " 0.17476595, 0.13859686, 0.21257306, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08834088, 0.08951846, 0.07536491, 0.08721993,\n", - " 0.08708873, 0.76373921, 0.08820789, 0.76374198, 0.09028299,\n", - " 0.763747 , 0.76375446, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375335, 0.74329981, 0.74329864, 0.07707475, 0.76375447,\n", - " 0.15677021, 0.07430848, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.44160959, 0.76375447, 0.94441596, 0.76375447,\n", - " 0.14697389, 0.13534564, 0.21257306, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08832372, 0.08951261, 0.07028377, 0.08721659,\n", - " 0.08708873, 0.76373957, 0.08820789, 0.76374242, 0.09028299,\n", - " 0.76374734, 0.76375446, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375339, 0.74329981, 0.74329869, 0.07707475, 0.76375447,\n", - " 0.15677021, 0.07430848, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.27055363, 0.76375447, 0.94441596, 0.76375447,\n", - " 0.09644307, 0.1242951 , 0.21257306, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08830678, 0.08950674, 0.07028377, 0.08721333,\n", - " 0.08708873, 0.76373993, 0.08820789, 0.76374284, 0.09028299,\n", - " 0.76374766, 0.76375446, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375343, 0.74329981, 0.74329873, 0.07707475, 0.76375447,\n", - " 0.15677021, 0.07430848, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.16916365, 0.76375447, 0.94441596, 0.76375447,\n", - " 0.08604711, 0.1242951 , 0.23038337, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.0882926 , 0.08950175, 0.07028377, 0.08721064,\n", - " 0.08708873, 0.76374025, 0.08820789, 0.7637432 , 0.09028299,\n", - " 0.76374793, 0.76375446, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375346, 0.74329981, 0.74329876, 0.07707475, 0.76375447,\n", - " 0.15677022, 0.07430848, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.1403466 , 0.76375447, 0.94441596, 0.76375447,\n", - " 0.08576299, 0.1242951 , 0.23206296, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08827858, 0.08949675, 0.07028377, 0.087208 ,\n", - " 0.08708873, 0.76374056, 0.08820789, 0.76374354, 0.09028299,\n", - " 0.76374818, 0.76375446, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375349, 0.74329981, 0.7432988 , 0.07707475, 0.76375447,\n", - " 0.15769391, 0.07430848, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.1403466 , 0.76375447, 0.94441596, 0.76375447,\n", - " 0.08576299, 0.1242951 , 0.23206296, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.0882647 , 0.08949173, 0.07028377, 0.08720542,\n", - " 0.08708873, 0.76374088, 0.08820789, 0.76374388, 0.09028299,\n", - " 0.76374842, 0.76375446, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375352, 0.74329981, 0.74329883, 0.07707475, 0.76375447,\n", - " 0.16692045, 0.081674 , 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.1403466 , 0.76375447, 0.94441596, 0.76375447,\n", - " 0.08576299, 0.1242951 , 0.23206296, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08825097, 0.0894867 , 0.07028377, 0.0872029 ,\n", - " 0.08708873, 0.7637412 , 0.08820789, 0.76374422, 0.09028299,\n", - " 0.76374866, 0.76375447, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375355, 0.74329981, 0.74329886, 0.07707475, 0.76375447,\n", - " 0.16899836, 0.08546664, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.1403466 , 0.76375447, 0.94441596, 0.76375447,\n", - " 0.08576299, 0.1242951 , 0.23206296, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08823739, 0.08948165, 0.07028377, 0.08720043,\n", - " 0.08708873, 0.76374152, 0.08820789, 0.76374454, 0.09028299,\n", - " 0.76374888, 0.76375447, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375358, 0.74329981, 0.74329889, 0.07707475, 0.76375447,\n", - " 0.16958345, 0.08546664, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.1403466 , 0.76375447, 0.94441596, 0.76375447,\n", - " 0.08576299, 0.1242951 , 0.23206296, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08822395, 0.08947658, 0.07028377, 0.08719801,\n", - " 0.08708873, 0.76374184, 0.08820789, 0.76374486, 0.09028299,\n", - " 0.7637491 , 0.76375447, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375361, 0.74329981, 0.74329892, 0.07707475, 0.76375447,\n", - " 0.16958345, 0.08546664, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.1403466 , 0.76375447, 0.94441596, 0.76375447,\n", - " 0.08576299, 0.1242951 , 0.23206296, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08821065, 0.08947151, 0.07028377, 0.08719565,\n", - " 0.08708873, 0.76374216, 0.08820789, 0.76374517, 0.09028299,\n", - " 0.76374931, 0.76375447, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375363, 0.74329981, 0.74329895, 0.07707475, 0.76375447,\n", - " 0.16958345, 0.08546664, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.1403466 , 0.76375447, 0.94441596, 0.76375447,\n", - " 0.08576299, 0.1242951 , 0.23206296, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.0881975 , 0.08946642, 0.07028377, 0.08719334,\n", - " 0.08708873, 0.76374248, 0.08820789, 0.76374547, 0.09028299,\n", - " 0.76374951, 0.76375447, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375366, 0.74329981, 0.74329898, 0.07707475, 0.76375447,\n", - " 0.16958345, 0.08546664, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.1403466 , 0.76375447, 0.94441596, 0.76375447,\n", - " 0.08576299, 0.11448907, 0.23206296, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08818448, 0.08946131, 0.07028377, 0.08719108,\n", - " 0.08708873, 0.7637428 , 0.08820789, 0.76374576, 0.09028299,\n", - " 0.7637497 , 0.76375447, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375368, 0.74329981, 0.74329901, 0.07707475, 0.76375447,\n", - " 0.16958345, 0.08546664, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.1403466 , 0.76375447, 0.94441596, 0.76375447,\n", - " 0.10140472, 0.1060414 , 0.23206296, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08817161, 0.0894562 , 0.07028377, 0.08718886,\n", - " 0.08708873, 0.76374311, 0.08820789, 0.76374605, 0.09028299,\n", - " 0.76374989, 0.76375447, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375371, 0.74329981, 0.74329903, 0.07707475, 0.76375447,\n", - " 0.16958345, 0.08546664, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.1403466 , 0.76375447, 0.94441596, 0.76375447,\n", - " 0.12951731, 0.1060414 , 0.23206296, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08815887, 0.08945108, 0.07028377, 0.0871867 ,\n", - " 0.08708873, 0.76374342, 0.08820789, 0.76374633, 0.09028299,\n", - " 0.76375006, 0.76375447, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375373, 0.74329981, 0.74329906, 0.07707475, 0.76375447,\n", - " 0.16958345, 0.08546664, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.1403466 , 0.76375447, 0.94441596, 0.76375447,\n", - " 0.29806365, 0.1060414 , 0.23206296, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.09 , 0.08814628, 0.08944594, 0.07028377, 0.08718458,\n", - " 0.08708873, 0.76374373, 0.07345684, 0.7637466 , 0.09028299,\n", - " 0.76375023, 0.76375447, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375375, 0.74329981, 0.74329908, 0.07707475, 0.76375447,\n", - " 0.16958345, 0.08546664, 0.76375447, 0.76375447, 0.76375447,\n", - " 0.76375447, 0.1403466 , 0.76375447, 0.94441596, 0.76375447,\n", - " 0.44647713, 0.1060414 , 0.22967457, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.08 , 0.08845871, 0.08925481, 0.07067033, 0.08814215,\n", - " 0.08742082, 0.76374039, 0.07294655, 0.76374213, 0.09028299,\n", - " 0.76374511, 0.76374952, 0.76375285, 0.76375388, 0.76375425,\n", - " 0.76375368, 0.51306519, 0.74329908, 0.07707475, 0.76375444,\n", - " 0.16958344, 0.08546664, 0.76375446, 0.76375439, 0.76375447,\n", - " 0.76375447, 0.1403466 , 0.76375447, 0.94441596, 0.76375447,\n", - " 0.40858437, 0.1060414 , 0.19734373, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.08 , 0.08715498, 0.08902073, 0.08290342, 0.08784655,\n", - " 0.08752585, 0.71770358, 0.07294655, 0.76374213, 0.09028299,\n", - " 0.76374412, 0.76374876, 0.76375152, 0.76375302, 0.76375381,\n", - " 0.7637535 , 0.51306517, 0.74329908, 0.07707475, 0.76375437,\n", - " 0.16958344, 0.08546664, 0.76375441, 0.76375419, 0.76375445,\n", - " 0.76375447, 0.1403466 , 0.76375447, 0.94441596, 0.76375447,\n", - " 0.44294136, 0.1060414 , 0.19734373, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.08 , 0.0860522 , 0.0886898 , 0.08938556, 0.08734212,\n", - " 0.08748052, 0.10811229, 0.07294655, 0.72195435, 0.09028299,\n", - " 0.76374412, 0.76374811, 0.7637504 , 0.76375207, 0.76375318,\n", - " 0.76375325, 0.51306513, 0.74329908, 0.07707475, 0.76375426,\n", - " 0.19798937, 0.10181894, 0.76375432, 0.76375384, 0.76375442,\n", - " 0.76375447, 0.1403466 , 0.76375447, 0.94441596, 0.76375446,\n", - " 0.44294137, 0.1060414 , 0.19727792, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.08 , 0.08511938, 0.08829178, 0.08928134, 0.0867393 ,\n", - " 0.08729766, 0.08724471, 0.07294655, 0.16439632, 0.09028299,\n", - " 0.76374412, 0.76374755, 0.76374947, 0.76375112, 0.76375243,\n", - " 0.76375294, 0.51306506, 0.74329908, 0.07707475, 0.76375411,\n", - " 0.39452136, 0.24594292, 0.76375416, 0.76375335, 0.76375435,\n", - " 0.76375447, 0.1403466 , 0.76375447, 0.94441596, 0.76375446,\n", - " 0.44294138, 0.1060414 , 0.17718021, 0.87968838, 1.00047879,\n", - " 0.76375447]), array([0.08 , 0.08433034, 0.08785017, 0.08914498, 0.08610745,\n", - " 0.08700403, 0.08721452, 0.07294655, 0.08915773, 0.09028299,\n", - " 0.72198623, 0.76374755, 0.76374885, 0.76375029, 0.76375165,\n", - " 0.76375261, 0.51306498, 0.74329908, 0.07707475, 0.76375392,\n", - " 0.6724871 , 0.56468388, 0.76375393, 0.76375277, 0.76375423,\n", - " 0.76375446, 0.15147824, 0.76375447, 0.94441596, 0.76375444,\n", - " 0.43937774, 0.1060414 , 0.14892521, 0.87968838, 0.99398646,\n", - " 0.76375447]), array([0.08 , 0.08366291, 0.08738338, 0.08897714, 0.08548856,\n", - " 0.08663015, 0.08714123, 0.07294655, 0.08718737, 0.09028299,\n", - " 0.16482162, 0.76374755, 0.76374842, 0.76374961, 0.76375091,\n", - " 0.76375227, 0.51306487, 0.74329908, 0.07707475, 0.76375371,\n", - " 0.78263654, 0.7531747 , 0.76375363, 0.76375213, 0.76375407,\n", - " 0.76375446, 0.17161835, 0.76375447, 0.94441596, 0.76375442,\n", - " 0.43772035, 0.09258238, 0.13886996, 0.87968838, 0.90609755,\n", - " 0.76375447]), array([0.08 , 0.08309835, 0.0869057 , 0.08877977, 0.08490661,\n", - " 0.08620494, 0.08702381, 0.07294655, 0.0871092 , 0.09028299,\n", - " 0.08787651, 0.76374755, 0.76374814, 0.76374908, 0.76375025,\n", - " 0.76375193, 0.51306475, 0.74329908, 0.07707475, 0.76375349,\n", - " 0.78834611, 0.76375438, 0.76375327, 0.76375148, 0.76375386,\n", - " 0.76375445, 0.17161835, 0.76375447, 0.94441596, 0.76375438,\n", - " 0.43772454, 0.0909339 , 0.13886996, 0.87968838, 0.73247434,\n", - " 0.76375447]), array([0.08 , 0.08262081, 0.08642803, 0.0885557 , 0.08437388,\n", - " 0.08575321, 0.08686446, 0.07294655, 0.08699223, 0.09028299,\n", - " 0.08754288, 0.76374755, 0.76374795, 0.76374866, 0.76374967,\n", - " 0.76375161, 0.51306461, 0.74329908, 0.07707475, 0.76375326,\n", - " 0.78834608, 0.76375435, 0.76375287, 0.76375085, 0.76375359,\n", - " 0.76375444, 0.17161835, 0.76375446, 0.94441596, 0.76375433,\n", - " 0.43772857, 0.0909339 , 0.13886996, 0.87968838, 0.59002082,\n", - " 0.76375447]), array([0.08 , 0.08221686, 0.08595858, 0.08830825, 0.08389524,\n", - " 0.08529483, 0.0866676 , 0.07294655, 0.08683708, 0.09028299,\n", - " 0.08730767, 0.76374755, 0.76374782, 0.76374836, 0.7637492 ,\n", - " 0.7637513 , 0.51306447, 0.74329908, 0.07707475, 0.76375302,\n", - " 0.78834604, 0.76375431, 0.76375244, 0.76375028, 0.76375328,\n", - " 0.76375442, 0.17161835, 0.76375446, 0.94441596, 0.76375426,\n", - " 0.43773243, 0.0909339 , 0.13886996, 0.87968838, 0.54046601,\n", - " 0.76375447]), array([0.08 , 0.08187518, 0.08550337, 0.088041 , 0.08347098,\n", - " 0.08484488, 0.08643901, 0.07294655, 0.08664683, 0.09028299,\n", - " 0.08708745, 0.76374755, 0.76374773, 0.76374813, 0.76374881,\n", - " 0.76375101, 0.51306432, 0.74329908, 0.07707475, 0.76375278,\n", - " 0.78834601, 0.76375427, 0.763752 , 0.76374977, 0.76375294,\n", - " 0.76375439, 0.17161835, 0.76375446, 0.94441596, 0.76375417,\n", - " 0.43773615, 0.0909339 , 0.13886996, 0.87968838, 0.47275888,\n", - " 0.76375447]), array([0.08 , 0.08158616, 0.08506669, 0.08775761, 0.08309868,\n", - " 0.08441408, 0.08618505, 0.07839284, 0.08642613, 0.09028299,\n", - " 0.08686706, 0.72794095, 0.76374773, 0.76374798, 0.76374851,\n", - " 0.76375074, 0.71855947, 0.74329908, 0.07707475, 0.76375255,\n", - " 0.78734059, 0.76375422, 0.76375156, 0.76374933, 0.76375257,\n", - " 0.76375435, 0.16901214, 0.76375445, 0.94441596, 0.76375407,\n", - " 0.43773972, 0.0909339 , 0.13886996, 0.87968838, 0.42075035,\n", - " 0.76375447]), array([0.08 , 0.08134169, 0.08465144, 0.08746165, 0.08277446,\n", - " 0.08400957, 0.08591222, 0.08695647, 0.08618051, 0.09028299,\n", - " 0.08663827, 0.24426732, 0.76374773, 0.76374789, 0.76374828,\n", - " 0.76375049, 0.76375248, 0.74329908, 0.07707475, 0.76375232,\n", - " 0.7846217 , 0.76375417, 0.76375113, 0.76374897, 0.76375218,\n", - " 0.76375431, 0.13845722, 0.76375444, 0.94441596, 0.76375395,\n", - " 0.43774315, 0.0909339 , 0.14413847, 0.87968838, 0.41099684,\n", - " 0.76375447]), array([0.35 , 0.08134169, 0.08421601, 0.08706031, 0.08259741,\n", - " 0.08358818, 0.08554542, 0.08695647, 0.08583079, 0.09028299,\n", - " 0.08631064, 0.09470986, 0.59100914, 0.76374789, 0.76374811,\n", - " 0.76375049, 0.76375204, 0.74329905, 0.07707475, 0.76375216,\n", - " 0.78462166, 0.76375413, 0.76375024, 0.76374849, 0.76375121,\n", - " 0.76375427, 0.13845722, 0.76375443, 0.94441596, 0.76375381,\n", - " 0.07690459, 0.0909339 , 0.15161318, 0.87968838, 0.39205807,\n", - " 0.76375446]), array([0.35 , 0.08134169, 0.08383786, 0.08666184, 0.08243233,\n", - " 0.08324328, 0.08518208, 0.08695647, 0.08547356, 0.09028299,\n", - " 0.085971 , 0.08683893, 0.14976336, 0.6111779 , 0.75681851,\n", - " 0.76375049, 0.76375186, 0.74329905, 0.07707475, 0.76375216,\n", - " 0.78462162, 0.76375408, 0.76245019, 0.75988914, 0.76310336,\n", - " 0.76375144, 0.13845722, 0.76375428, 0.94441596, 0.76372131,\n", - " 0.0769161 , 0.0909339 , 0.15161318, 0.87968838, 0.37516503,\n", - " 0.76375379]), array([0.35 , 0.08134169, 0.08350947, 0.08627203, 0.08232662,\n", - " 0.08296975, 0.08483292, 0.08695647, 0.08512078, 0.09028299,\n", - " 0.08562603, 0.08660773, 0.08902686, 0.20128265, 0.59334191,\n", - " 0.76375049, 0.7637517 , 0.74329905, 0.07707475, 0.76375216,\n", - " 0.78462159, 0.76375404, 0.76245019, 0.7258523 , 0.76277811,\n", - " 0.76374483, 0.13845722, 0.76375379, 0.94441596, 0.76367418,\n", - " 0.07692682, 0.0909339 , 0.15161318, 0.87968838, 0.35409717,\n", - " 0.76375248]), array([0.35 , 0.08134169, 0.08322428, 0.08589516, 0.08225891,\n", - " 0.08275763, 0.08450538, 0.08695647, 0.0847819 , 0.09028299,\n", - " 0.08528353, 0.08635532, 0.0879064 , 0.09562356, 0.19936318,\n", - " 0.76375049, 0.76375156, 0.74329905, 0.07707475, 0.76375216,\n", - " 0.78462155, 0.763754 , 0.76135116, 0.51282548, 0.76206755,\n", - " 0.7637319 , 0.13845722, 0.76375266, 0.94441596, 0.7635939 ,\n", - " 0.07693682, 0.0909339 , 0.15249154, 0.87968838, 0.30816443,\n", - " 0.76375018]), array([0.35 , 0.23868598, 0.08322428, 0.08556489, 0.08225891,\n", - " 0.08260882, 0.08420605, 0.08695647, 0.0844648 , 0.09028299,\n", - " 0.08495134, 0.08608771, 0.08714362, 0.08784161, 0.09508246,\n", - " 0.76375049, 0.76375143, 0.74329905, 0.07707475, 0.76375216,\n", - " 0.78462151, 0.76375396, 0.71945512, 0.1780516 , 0.76206755,\n", - " 0.76371354, 0.13845722, 0.76375065, 0.94441596, 0.76351764,\n", - " 0.07694615, 0.09945338, 0.16208336, 0.87968838, 0.26631963,\n", - " 0.76374745]), array([0.35 , 0.35 , 0.08322428, 0.08527546, 0.11162539,\n", - " 0.08260882, 0.08395397, 0.08695647, 0.0841835 , 0.09028299,\n", - " 0.08463979, 0.08581172, 0.08658501, 0.08724797, 0.09284579,\n", - " 0.76375049, 0.76375132, 0.74329905, 0.07707475, 0.76375216,\n", - " 0.78462148, 0.76375392, 0.50277224, 0.09383684, 0.71980445,\n", - " 0.76369676, 0.13845722, 0.76374788, 0.94441596, 0.76351764,\n", - " 0.07695484, 0.10328428, 0.28659295, 0.87968838, 0.23362884,\n", - " 0.76372677]), array([0.35 , 0.35 , 0.08322428, 0.08502182, 0.23764658,\n", - " 0.08260882, 0.08374166, 0.08695647, 0.08394019, 0.09028299,\n", - " 0.08435593, 0.08553423, 0.0861443 , 0.08672657, 0.09148815,\n", - " 0.76375049, 0.76375122, 0.74329905, 0.07707475, 0.76375216,\n", - " 0.78462144, 0.76375389, 0.17550299, 0.09252884, 0.50454859,\n", - " 0.76368142, 0.13845722, 0.76374446, 0.94441596, 0.76351764,\n", - " 0.07696295, 0.10328428, 0.70642868, 0.87968838, 0.21632253,\n", - " 0.76355616]), array([0.35 , 0.35 , 0.08322428, 0.08479955, 0.31507389,\n", - " 0.10143427, 0.08374166, 0.08695647, 0.08383087, 0.09028299,\n", - " 0.08414289, 0.08526902, 0.0857772 , 0.08627807, 0.09059688,\n", - " 0.76375049, 0.76375114, 0.74329905, 0.11397229, 0.76375216,\n", - " 0.78462141, 0.76375385, 0.09260037, 0.09145292, 0.17818592,\n", - " 0.76366739, 0.13845722, 0.7637405 , 0.94441596, 0.76351764,\n", - " 0.07696295, 0.10328428, 0.86948445, 0.87968838, 0.21632253,\n", - " 0.76294961]), array([0.35 , 0.35 , 0.08322428, 0.08460476, 0.31527862,\n", - " 0.19338576, 0.08374166, 0.08695647, 0.08378175, 0.09028299,\n", - " 0.08399636, 0.08502644, 0.08546232, 0.0858927 , 0.08996547,\n", - " 0.76375049, 0.76375106, 0.74329905, 0.54412713, 0.76375216,\n", - " 0.78462138, 0.76375381, 0.0919351 , 0.09062455, 0.09295009,\n", - " 0.76365456, 0.13048597, 0.76373607, 0.94441596, 0.76351764,\n", - " 0.07696295, 0.10328428, 0.91749521, 0.87968838, 0.21632253,\n", - " 0.761857 ]), array([0.35 , 0.35 , 0.08322428, 0.08443405, 0.31525904,\n", - " 0.2879644 , 0.08374166, 0.08695647, 0.08375968, 0.09028299,\n", - " 0.08390033, 0.08481179, 0.08518948, 0.08556048, 0.08948803,\n", - " 0.60323375, 0.76375106, 0.74329905, 0.7607648 , 0.76375216,\n", - " 0.78462134, 0.76375378, 0.09128072, 0.08999161, 0.09177624,\n", - " 0.76364283, 0.11912236, 0.76373128, 0.94441596, 0.76351764,\n", - " 0.07696295, 0.10328428, 0.9270073 , 0.87968838, 0.21632253,\n", - " 0.7606492 ]), array([0.35 , 0.35 , 0.14523366, 0.08443405, 0.31524072,\n", - " 0.31521485, 0.08374166, 0.08695647, 0.08374976, 0.09028299,\n", - " 0.08383923, 0.08462641, 0.08495332, 0.08527365, 0.08910887,\n", - " 0.18098956, 0.76375106, 0.74329905, 0.76375198, 0.76375216,\n", - " 0.77792947, 0.76375374, 0.09068115, 0.0895 , 0.09123093,\n", - " 0.76363211, 0.10472285, 0.76372618, 0.94441596, 0.76351764,\n", - " 0.07696295, 0.10328428, 0.9270073 , 0.87968838, 0.21632253,\n", - " 0.75944467]), array([0.35 , 0.35 , 0.28308607, 0.08443405, 0.31522356,\n", - " 0.31521745, 0.08374166, 0.08695647, 0.0837453 , 0.09028299,\n", - " 0.08380112, 0.0844691 , 0.08475023, 0.08502638, 0.08879784,\n", - " 0.0907855 , 0.76375106, 0.74329905, 0.76375198, 0.76375216,\n", - " 0.77566796, 0.76375371, 0.09015179, 0.08910896, 0.09069356,\n", - " 0.7636223 , 0.09149964, 0.76372083, 0.94441596, 0.76351764,\n", - " 0.07696295, 0.10328428, 0.9270073 , 0.87968838, 0.21632253,\n", - " 0.75824346]), array([0.72 , 0.35 , 0.35 , 0.08443405, 0.31395046,\n", - " 0.3148357 , 0.09558157, 0.08695647, 0.08614339, 0.09028299,\n", - " 0.08476788, 0.08452815, 0.08465422, 0.08484507, 0.12057472,\n", - " 0.08612687, 0.76375106, 0.74329886, 0.76375198, 0.76375216,\n", - " 0.77297691, 0.76375368, 0.09341404, 0.09891769, 0.09215868,\n", - " 0.76361512, 0.09149964, 0.76371651, 0.94441596, 0.76351764,\n", - " 0.07696295, 0.10328428, 0.9270073 , 0.87968838, 0.21632253,\n", - " 0.75677117]), array([0.72 , 0.35 , 0.35 , 0.08443405, 0.31393424,\n", - " 0.31456408, 0.16440841, 0.08695647, 0.10952627, 0.09028299,\n", - " 0.08476788, 0.08457553, 0.0846202 , 0.08473552, 0.12040606,\n", - " 0.08597342, 0.76375106, 0.74329886, 0.76375198, 0.76375216,\n", - " 0.76112061, 0.76375366, 0.09341404, 0.12047482, 0.09283476,\n", - " 0.76360843, 0.09149964, 0.76371209, 0.94441596, 0.76351764,\n", - " 0.07696295, 0.10328428, 0.9270073 , 0.87968838, 0.22385625,\n", - " 0.75530682]), array([0.72 , 0.35 , 0.35 , 0.08443405, 0.31391911,\n", - " 0.31436975, 0.2596404 , 0.08695647, 0.18370293, 0.09028299,\n", - " 0.09905809, 0.08457553, 0.08460088, 0.08466993, 0.12029441,\n", - " 0.08583362, 0.76375106, 0.74329886, 0.76375198, 0.76375216,\n", - " 0.76112059, 0.76375363, 0.10186533, 0.12036796, 0.09769821,\n", - " 0.7636022 , 0.09149964, 0.76370759, 0.94441596, 0.76351764,\n", - " 0.07696295, 0.10328428, 0.9270073 , 0.87968838, 0.22669256,\n", - " 0.75385607]), array([0.72 , 0.35 , 0.35 , 0.08443405, 0.31390498,\n", - " 0.31422971, 0.30713791, 0.08695647, 0.26926366, 0.09028299,\n", - " 0.15234004, 0.08457553, 0.08458992, 0.08463095, 0.12022275,\n", - " 0.08570695, 0.76375106, 0.74329886, 0.76375198, 0.76375216,\n", - " 0.76060962, 0.76375361, 0.1203695 , 0.12028195, 0.10094421,\n", - " 0.7635964 , 0.09149964, 0.76370304, 0.94441596, 0.76351764,\n", - " 0.07696295, 0.10328428, 0.9270073 , 0.87968838, 0.22669256,\n", - " 0.75241882]), array([0.72 , 0.56669677, 0.35 , 0.08611027, 0.31390708,\n", - " 0.3141325 , 0.31463955, 0.08695647, 0.31131153, 0.09028299,\n", - " 0.23308744, 0.08457553, 0.0845837 , 0.08460793, 0.12017778,\n", - " 0.08559254, 0.58346549, 0.74329886, 0.76375198, 0.76375216,\n", - " 0.75766698, 0.76375358, 0.12031395, 0.12022025, 0.12033958,\n", - " 0.763591 , 0.09149964, 0.76369846, 0.94441596, 0.76351764,\n", - " 0.07696295, 0.10328428, 0.9270073 , 0.87968838, 0.22669256,\n", - " 0.75100555]), array([0.72 , 0.72 , 0.35 , 0.15213886, 0.3566072 ,\n", - " 0.3141325 , 0.31455845, 0.08695647, 0.31311799, 0.09028299,\n", - " 0.29405446, 0.08457553, 0.08458017, 0.0845944 , 0.12015001,\n", - " 0.08548943, 0.16507975, 0.74329886, 0.76375198, 0.76375216,\n", - " 0.75766696, 0.76375356, 0.1202636 , 0.12017864, 0.12029866,\n", - " 0.76358596, 0.09149964, 0.76369386, 0.94441596, 0.76351764,\n", - " 0.07696295, 0.10328428, 0.9270073 , 0.87968838, 0.22116325,\n", - " 0.74962754]), array([0.72 , 0.72 , 0.35 , 0.28794489, 0.53119817,\n", - " 0.3141325 , 0.31449033, 0.08695647, 0.31388151, 0.09028299,\n", - " 0.3129027 , 0.09819258, 0.08458017, 0.08458747, 0.12013359,\n", - " 0.08539682, 0.08630128, 0.74329886, 0.76375198, 0.76375216,\n", - " 0.75766694, 0.76375353, 0.12022205, 0.12015196, 0.1202574 ,\n", - " 0.76358127, 0.09149964, 0.76368925, 0.94441596, 0.76351764,\n", - " 0.07696295, 0.10328428, 0.9270073 , 0.87968838, 0.21436192,\n", - " 0.74825546]), array([0.72 , 0.72 , 0.35 , 0.35 , 0.63334235,\n", - " 0.34306237, 0.31449033, 0.08695647, 0.31422023, 0.09028299,\n", - " 0.3134465 , 0.14915582, 0.09393227, 0.08914005, 0.12243532,\n", - " 0.08626617, 0.08629673, 0.74329886, 0.76375198, 0.76375216,\n", - " 0.75766692, 0.76375351, 0.12069929, 0.12150444, 0.12049539,\n", - " 0.76357691, 0.09149964, 0.76368466, 0.94441596, 0.76351764,\n", - " 0.09302325, 0.10328428, 0.9270073 , 0.87968838, 0.20440225,\n", - " 0.74688965]), array([0.72 , 0.72 , 0.35 , 0.35 , 0.63334235,\n", - " 0.47552254, 0.31449033, 0.08695647, 0.3143705 , 0.09028299,\n", - " 0.31382788, 0.22826183, 0.13320572, 0.08914005, 0.12350501,\n", - " 0.08626617, 0.08629278, 0.74329886, 0.76375198, 0.76375216,\n", - " 0.7576669 , 0.76375349, 0.12143992, 0.12268942, 0.12100407,\n", - " 0.76357284, 0.09149964, 0.76368008, 0.94441596, 0.76351764,\n", - " 0.36060021, 0.10328428, 0.9270073 , 0.87968838, 0.21109078,\n", - " 0.74553055]), array([0.72 , 0.72 , 0.35 , 0.35 , 0.63334235,\n", - " 0.60076941, 0.31449033, 0.08695647, 0.31443717, 0.09028299,\n", - " 0.31407936, 0.29041096, 0.20350381, 0.1308863 , 0.1288406 ,\n", - " 0.08626617, 0.08628933, 0.74329886, 0.76375198, 0.76375216,\n", - " 0.75766688, 0.76375347, 0.12326085, 0.1263329 , 0.12221947,\n", - " 0.76356905, 0.09149964, 0.76367554, 0.94441596, 0.76351764,\n", - " 0.70051717, 0.10328428, 0.9270073 , 0.87968838, 0.21766838,\n", - " 0.74417927]), array([0.72 , 0.72 , 0.42178543, 0.35 , 0.63334235,\n", - " 0.63334235, 0.31449033, 0.08695647, 0.31446675, 0.09028299,\n", - " 0.31423925, 0.31252514, 0.27095998, 0.19980363, 0.17260225,\n", - " 0.08626617, 0.08628634, 0.74329886, 0.76375198, 0.76375216,\n", - " 0.75766686, 0.76375344, 0.12326085, 0.14075631, 0.12278031,\n", - " 0.76356552, 0.09149964, 0.76367104, 0.94441596, 0.76351764,\n", - " 0.76356353, 0.10328428, 0.9270073 , 0.87968838, 0.22761175,\n", - " 0.74283531]), array([0.72 , 0.72 , 0.61748174, 0.35 , 0.63334235,\n", - " 0.63334235, 0.31449033, 0.08695647, 0.31447987, 0.09028299,\n", - " 0.31433856, 0.31382551, 0.3060507 , 0.26740939, 0.23775025,\n", - " 0.08626617, 0.08628373, 0.74329886, 0.76375198, 0.76375216,\n", - " 0.75766684, 0.76375342, 0.12873563, 0.19291065, 0.12598757,\n", - " 0.76356224, 0.09149964, 0.76366659, 0.94441596, 0.76351764,\n", - " 0.76357818, 0.10328428, 0.9270073 , 0.87968838, 0.23775991,\n", - " 0.74150199]), array([0.82 , 0.72 , 0.72 , 0.35 , 0.6342937 ,\n", - " 0.63362812, 0.33581207, 0.08695647, 0.31867776, 0.09028299,\n", - " 0.31611995, 0.31427388, 0.31364583, 0.30772713, 0.29111982,\n", - " 0.08626617, 0.08628151, 0.74329893, 0.76375198, 0.76375216,\n", - " 0.75766682, 0.7637534 , 0.15536101, 0.25273914, 0.1289305 ,\n", - " 0.76355893, 0.09149964, 0.76366182, 0.94441596, 0.76351764,\n", - " 0.76359118, 0.10328428, 0.9270073 , 0.87968838, 0.22659861,\n", - " 0.740259 ]), array([0.82 , 0.72 , 0.72 , 0.35 , 0.6342937 ,\n", - " 0.63382805, 0.44124672, 0.08695647, 0.35656022, 0.09028299,\n", - " 0.31611995, 0.31463463, 0.31406932, 0.31186554, 0.32786177,\n", - " 0.08626617, 0.08627957, 0.66159869, 0.76375198, 0.76375216,\n", - " 0.7576668 , 0.76375338, 0.20679975, 0.30143883, 0.16051467,\n", - " 0.76355587, 0.09762701, 0.76365713, 0.94441596, 0.76351764,\n", - " 0.76360322, 0.10328428, 0.9270073 , 0.87968838, 0.2038747 ,\n", - " 0.73904374]), array([0.82 , 0.72 , 0.72 , 0.35 , 0.6342937 ,\n", - " 0.63396792, 0.56773285, 0.08695647, 0.46613753, 0.09028299,\n", - " 0.3389342 , 0.31463463, 0.31431144, 0.31304539, 0.32945047,\n", - " 0.08626617, 0.08627788, 0.59367816, 0.76375198, 0.76375216,\n", - " 0.75766678, 0.76375335, 0.26404471, 0.32878589, 0.21253513,\n", - " 0.76355304, 0.10505877, 0.76365252, 0.94441596, 0.76351764,\n", - " 0.76361435, 0.10328428, 0.9270073 , 0.87968838, 0.17654647,\n", - " 0.73791325]), array([0.82 , 0.72 , 0.72 , 0.35 , 0.6342937 ,\n", - " 0.63406578, 0.62484539, 0.08695647, 0.57897185, 0.09028299,\n", - " 0.41837792, 0.31463463, 0.31444986, 0.31372288, 0.33054409,\n", - " 0.08626617, 0.0862764 , 0.59367816, 0.76375198, 0.76375216,\n", - " 0.75766676, 0.76375333, 0.30790613, 0.32980861, 0.26843919,\n", - " 0.76355304, 0.10505877, 0.76364811, 0.94441596, 0.72049706,\n", - " 0.76362465, 0.10328428, 0.9270073 , 0.87968838, 0.20275634,\n", - " 0.73689456]), array([0.82 , 0.77856669, 0.72 , 0.35266915, 0.6342937 ,\n", - " 0.63413424, 0.6337651 , 0.08695647, 0.62979196, 0.09028299,\n", - " 0.52979266, 0.31463463, 0.314529 , 0.31411173, 0.33125762,\n", - " 0.09365228, 0.08720739, 0.59367816, 0.76375198, 0.76375216,\n", - " 0.75766674, 0.76375331, 0.32978652, 0.33065148, 0.31009833,\n", - " 0.76355304, 0.10505877, 0.7636439 , 0.94441596, 0.54465053,\n", - " 0.76363418, 0.10328428, 0.9270073 , 0.87968838, 0.25923627,\n", - " 0.73598252]), array([0.82 , 0.82 , 0.72 , 0.4276547 , 0.64570283,\n", - " 0.63413424, 0.63382389, 0.08695647, 0.63202793, 0.09028299,\n", - " 0.60827256, 0.31463463, 0.31457424, 0.31433484, 0.33170765,\n", - " 0.14391103, 0.08720739, 0.59367816, 0.76375198, 0.76375216,\n", - " 0.75766672, 0.76375329, 0.33032098, 0.33126583, 0.33006784,\n", - " 0.76355304, 0.10505877, 0.76363988, 0.94441596, 0.29461696,\n", - " 0.763643 , 0.10328428, 0.9270073 , 0.87968838, 0.41068595,\n", - " 0.73514291]), array([0.82 , 0.82 , 0.72 , 0.61981927, 0.6930159 ,\n", - " 0.63413424, 0.63387332, 0.08695647, 0.63305132, 0.09028299,\n", - " 0.63178905, 0.33608395, 0.31457424, 0.31445032, 0.33197869,\n", - " 0.2134344 , 0.08720739, 0.59367816, 0.76375198, 0.71484545,\n", - " 0.75766672, 0.76375329, 0.33081216, 0.33168049, 0.33045963,\n", - " 0.76355304, 0.10505877, 0.76363603, 0.94441596, 0.13816223,\n", - " 0.76365115, 0.10328428, 0.9270073 , 0.87968838, 0.84360669,\n", - " 0.73433358]), array([0.82 , 0.82 , 0.72 , 0.72 , 0.72889966,\n", - " 0.64189583, 0.63515104, 0.08695647, 0.63421575, 0.09028299,\n", - " 0.63278529, 0.40905944, 0.3288812 , 0.31445032, 0.33210668,\n", - " 0.27697434, 0.08720739, 0.59367816, 0.76375198, 0.54965709,\n", - " 0.75766672, 0.76375329, 0.33121545, 0.3319284 , 0.33085747,\n", - " 0.76355304, 0.10505877, 0.76363236, 0.94441596, 0.09353198,\n", - " 0.7636587 , 0.10328428, 0.9270073 , 0.87968838, 0.88424257,\n", - " 0.73352814]), array([0.82 , 0.82 , 0.72 , 0.72 , 0.74611484,\n", - " 0.6774461 , 0.63515104, 0.08695647, 0.63473443, 0.09028299,\n", - " 0.63358548, 0.51672409, 0.38462284, 0.32782696, 0.33347207,\n", - " 0.313271 , 0.08720739, 0.59367816, 0.76375198, 0.20128265,\n", - " 0.75766672, 0.76375329, 0.33179744, 0.33282633, 0.33135224,\n", - " 0.76355304, 0.10505877, 0.76362884, 0.94441596, 0.09353198,\n", - " 0.76366568, 0.10328428, 0.9270073 , 0.87968838, 0.92705355,\n", - " 0.73272676]), array([0.82 , 0.82 , 0.72 , 0.72 , 0.75548245,\n", - " 0.71709102, 0.63515104, 0.08695647, 0.63496546, 0.09028299,\n", - " 0.63415201, 0.59906714, 0.48067147, 0.38055067, 0.35040288,\n", - " 0.313271 , 0.08720739, 0.59367816, 0.76375198, 0.08890065,\n", - " 0.75766672, 0.76375329, 0.33395265, 0.33776272, 0.33272101,\n", - " 0.76355304, 0.13012564, 0.76362549, 0.94441596, 0.09353198,\n", - " 0.76367214, 0.10328428, 0.9270073 , 0.87968838, 0.92705355,\n", - " 0.73193054]), array([0.82 , 0.82 , 0.74067921, 0.72 , 0.75651008,\n", - " 0.74486942, 0.63515104, 0.08695647, 0.63506838, 0.09028299,\n", - " 0.63452821, 0.6304244 , 0.57149372, 0.4736547 , 0.40512659,\n", - " 0.313271 , 0.08720739, 0.59367816, 0.76375198, 0.08656436,\n", - " 0.75766672, 0.76375329, 0.33395265, 0.36577209, 0.33336931,\n", - " 0.76355304, 0.18811952, 0.76362228, 0.94441596, 0.09353198,\n", - " 0.76367811, 0.10328428, 0.9270073 , 0.87968838, 0.92705355,\n", - " 0.73113905]), array([0.82 , 0.82 , 0.79319631, 0.72 , 0.75651008,\n", - " 0.7538462 , 0.63515104, 0.08695647, 0.63511422, 0.09028299,\n", - " 0.63476878, 0.63364174, 0.62099409, 0.56485876, 0.49435593,\n", - " 0.313271 , 0.09159406, 0.59367816, 0.76375198, 0.08656436,\n", - " 0.75766672, 0.76375329, 0.34133949, 0.43018673, 0.33756456,\n", - " 0.76355304, 0.31762091, 0.76361921, 0.94441596, 0.09353198,\n", - " 0.76368364, 0.10328428, 0.9270073 , 0.87968838, 0.92705355,\n", - " 0.7303563 ]), array([0.92 , 0.82 , 0.82 , 0.72 , 0.75580533,\n", - " 0.7544365 , 0.63515104, 0.08695647, 0.6351347 , 0.09028299,\n", - " 0.63491981, 0.63389434, 0.63283778, 0.61744668, 0.58183142,\n", - " 0.313271 , 0.15110782, 0.63002915, 0.76375198, 0.08656436,\n", - " 0.75766672, 0.76375329, 0.38298584, 0.52162441, 0.34406783,\n", - " 0.76355304, 0.63494572, 0.7636165 , 0.94441596, 0.09353198,\n", - " 0.76368895, 0.10328428, 0.9270073 , 0.87968838, 0.92705355,\n", - " 0.72953795]), array([0.92 , 0.82 , 0.82 , 0.72 , 0.75580533,\n", - " 0.75484894, 0.66592392, 0.08695647, 0.64137277, 0.09028299,\n", - " 0.63758323, 0.6346234 , 0.63360978, 0.63258006, 0.62699082,\n", - " 0.313271 , 0.22181302, 0.63002915, 0.68928845, 0.08656436,\n", - " 0.75779223, 0.76375329, 0.45879993, 0.59590883, 0.39384065,\n", - " 0.76355304, 0.77215497, 0.76361391, 0.94441596, 0.09353198,\n", - " 0.76368895, 0.10328428, 0.9270073 , 0.87968838, 0.92705355,\n", - " 0.72876495]), array([0.92 , 0.82 , 0.82 , 0.72 , 0.75580533,\n", - " 0.7551371 , 0.70648837, 0.08695647, 0.6741425 , 0.09028299,\n", - " 0.63758323, 0.63520837, 0.63430092, 0.63374854, 0.64003536,\n", - " 0.313271 , 0.28278949, 0.63002915, 0.37547882, 0.08656436,\n", - " 0.75894016, 0.76375329, 0.54486991, 0.63105716, 0.47112315,\n", - " 0.76355304, 0.84165079, 0.76361142, 0.94441596, 0.09353198,\n", - " 0.76368895, 0.10328428, 0.9270073 , 0.87968838, 0.92705355,\n", - " 0.72812523]), array([0.92 , 0.82 , 0.82 , 0.72 , 0.75580533,\n", - " 0.75533845, 0.74363859, 0.08695647, 0.7140152 , 0.09028299,\n", - " 0.65868475, 0.63520837, 0.63469325, 0.63420878, 0.64054429,\n", - " 0.31571501, 0.31358732, 0.63002915, 0.12300989, 0.08656436,\n", - " 0.76823155, 0.76375329, 0.60835956, 0.64033681, 0.55396015,\n", - " 0.75475548, 0.84165079, 0.76324914, 0.94441596, 0.11845992,\n", - " 0.76368895, 0.10328428, 0.9270073 , 0.87968838, 0.92705355,\n", - " 0.7276539 ]), array([0.92 , 0.87856669, 0.82 , 0.72120631, 0.75580533,\n", - " 0.75547912, 0.75346843, 0.08695647, 0.74910753, 0.09028299,\n", - " 0.69715649, 0.63520837, 0.63491596, 0.63455331, 0.64095556,\n", - " 0.33788957, 0.31358732, 0.63002915, 0.08669657, 0.08656436,\n", - " 0.77282122, 0.76375329, 0.6375601 , 0.64070331, 0.6125404 ,\n", - " 0.69976322, 0.84165079, 0.76324914, 0.94441596, 0.12254057,\n", - " 0.76368895, 0.1066496 , 0.9270073 , 0.87968838, 0.92705355,\n", - " 0.72733806]), array([0.92 , 0.92 , 0.82 , 0.7441177 , 0.76734591,\n", - " 0.75547912, 0.75379002, 0.08695647, 0.75171268, 0.09028299,\n", - " 0.73502185, 0.63520837, 0.63504239, 0.63479158, 0.64126756,\n", - " 0.40062972, 0.31358732, 0.63002915, 0.08669657, 0.08656436,\n", - " 0.77370641, 0.76375329, 0.63885423, 0.64103753, 0.63825706,\n", - " 0.53677722, 0.84165079, 0.76324914, 0.94441596, 0.12254057,\n", - " 0.76368895, 0.12268447, 0.9270073 , 0.87968838, 0.92705355,\n", - " 0.72711955]), array([0.92 , 0.92 , 0.82 , 0.7951426 , 0.81453266,\n", - " 0.75547912, 0.75406017, 0.08695647, 0.75301873, 0.09028299,\n", - " 0.7514868 , 0.63520837, 0.63511415, 0.63494873, 0.64149228,\n", - " 0.49626552, 0.31358732, 0.63002915, 0.08669657, 0.08656436,\n", - " 0.78005722, 0.76375329, 0.63976699, 0.64130689, 0.63907024,\n", - " 0.29461696, 0.84165079, 0.76324914, 0.94441596, 0.12254057,\n", - " 0.76368895, 0.2270823 , 0.9270073 , 0.8393961 , 0.92705355,\n", - " 0.72693622]), array([0.92 , 0.92 , 0.82 , 0.82 , 0.85174733,\n", - " 0.76356169, 0.7555798 , 0.08695647, 0.75444361, 0.09028299,\n", - " 0.7527072 , 0.65728176, 0.63511415, 0.63502932, 0.64163759,\n", - " 0.58024257, 0.31358732, 0.63002915, 0.08669657, 0.08656436,\n", - " 0.785142 , 0.76375329, 0.64041296, 0.64150277, 0.63979337,\n", - " 0.14675639, 0.84165079, 0.76324914, 0.94441596, 0.12254057,\n", - " 0.76368895, 0.44266016, 0.9270073 , 0.77775455, 0.92705355,\n", - " 0.72675496]), array([0.92 , 0.92 , 0.82 , 0.82 , 0.87695018,\n", - " 0.79948519, 0.7555798 , 0.08695647, 0.75507574, 0.09028299,\n", - " 0.7536848 , 0.69485735, 0.6503439 , 0.63502932, 0.64170512,\n", - " 0.62344085, 0.31358732, 0.63002915, 0.08669657, 0.08656436,\n", - " 0.785142 , 0.76375329, 0.64086314, 0.64162263, 0.6403695 ,\n", - " 0.09984049, 0.84165079, 0.76324914, 0.94441596, 0.12254057,\n", - " 0.76368895, 0.80456485, 0.9270073 , 0.69732786, 0.92705355,\n", - " 0.72657569]), array([0.92 , 0.92 , 0.82 , 0.82 , 0.89182327,\n", - " 0.83987987, 0.7555798 , 0.08695647, 0.75535618, 0.09328792,\n", - " 0.75437465, 0.73275895, 0.68309722, 0.64953781, 0.64352464,\n", - " 0.63445355, 0.31358732, 0.63002915, 0.08669657, 0.08656436,\n", - " 0.785142 , 0.76375329, 0.64156505, 0.64274923, 0.64101337,\n", - " 0.09353198, 0.84165079, 0.76324914, 0.94441596, 0.12254057,\n", - " 0.76368895, 0.83844213, 0.9270073 , 0.47250085, 0.92705355,\n", - " 0.72639846]), array([0.92 , 0.92 , 0.83940147, 0.82 , 0.89268432,\n", - " 0.8689132 , 0.7555798 , 0.08695647, 0.7554806 , 0.13681758,\n", - " 0.75483112, 0.75231759, 0.72089679, 0.68137322, 0.65948875,\n", - " 0.63445355, 0.32023647, 0.63002915, 0.08669657, 0.08656436,\n", - " 0.785142 , 0.76375329, 0.6439477 , 0.64796739, 0.64259367,\n", - " 0.09353198, 0.84165079, 0.76324914, 0.94441596, 0.12254057,\n", - " 0.76368895, 0.84162124, 0.9270073 , 0.39759693, 0.92705355,\n", - " 0.72622445]), array([0.92 , 0.92 , 0.89229236, 0.82 , 0.89268432,\n", - " 0.88747134, 0.7555798 , 0.08695647, 0.75553579, 0.19880497,\n", - " 0.75512197, 0.7537539 , 0.74668966, 0.71890718, 0.69037025,\n", - " 0.63445355, 0.35505542, 0.63002915, 0.08669657, 0.08656436,\n", - " 0.785142 , 0.76375329, 0.6439477 , 0.66911535, 0.64332289,\n", - " 0.09353198, 0.84165079, 0.76324914, 0.94441596, 0.12254057,\n", - " 0.76368895, 0.84162124, 0.9270073 , 0.35302195, 0.92705355,\n", - " 0.72605304]), array([1. , 0.92 , 0.92 , 0.82 , 0.89268432,\n", - " 0.89248378, 0.7555798 , 0.08695647, 0.75556028, 0.28791303,\n", - " 0.75530288, 0.75406004, 0.75347859, 0.74854783, 0.72495483,\n", - " 0.63445355, 0.42679578, 0.63002878, 0.08669657, 0.08656436,\n", - " 0.785142 , 0.76375329, 0.6518233 , 0.7011512 , 0.64790082,\n", - " 0.09353198, 0.84165079, 0.76324914, 0.94441596, 0.15189111,\n", - " 0.75394721, 0.84162124, 0.9270073 , 0.33686298, 0.92705355,\n", - " 0.72588883]), array([1. , 0.92 , 0.92 , 0.82 , 0.89268432,\n", - " 0.8925442 , 0.7883995 , 0.08695647, 0.76221368, 0.52877146,\n", - " 0.75815527, 0.75486941, 0.7540799 , 0.75203078, 0.75111006,\n", - " 0.63445355, 0.51924157, 0.63002878, 0.08669657, 0.08656436,\n", - " 0.785142 , 0.76375329, 0.67914019, 0.73310812, 0.65237357,\n", - " 0.09353198, 0.84165079, 0.76324914, 0.94441596, 0.19622618,\n", - " 0.64819967, 0.84162124, 0.9270073 , 0.33686298, 0.92705355,\n", - " 0.72573342]), array([1. , 0.92 , 0.92 , 0.82 , 0.89268432,\n", - " 0.89258642, 0.8296806 , 0.08695647, 0.79676328, 0.63038643,\n", - " 0.75815527, 0.75551882, 0.75470201, 0.75333215, 0.75259128,\n", - " 0.63445355, 0.59206151, 0.63002878, 0.08669657, 0.08656436,\n", - " 0.785142 , 0.76375329, 0.71115134, 0.75198742, 0.68372345,\n", - " 0.09353198, 0.84165079, 0.76324914, 0.93992147, 0.24608148,\n", - " 0.34242199, 0.84162124, 0.9270073 , 0.33686298, 0.92705355,\n", - " 0.72560469]), array([1. , 0.92 , 0.92 , 0.82 , 0.89268432,\n", - " 0.89261592, 0.86158256, 0.08695647, 0.83614411, 0.84124582,\n", - " 0.78043929, 0.75551882, 0.75505515, 0.75417156, 0.75370545,\n", - " 0.63445355, 0.62645388, 0.63002878, 0.08669657, 0.08656436,\n", - " 0.785142 , 0.76375329, 0.73917516, 0.75300504, 0.7151637 ,\n", - " 0.09353198, 0.84165079, 0.76324914, 0.9190677 , 0.28983742,\n", - " 0.11825527, 0.84162124, 0.9270073 , 0.33686298, 0.92705355,\n", - " 0.72554355]), array([1. , 0.96685336, 0.92 , 0.8214088 , 0.89268432,\n", - " 0.89263653, 0.88596377, 0.08695647, 0.86652233, 0.84124582,\n", - " 0.81949337, 0.75551882, 0.75525562, 0.75469969, 0.75449114,\n", - " 0.63734213, 0.63482741, 0.63002878, 0.08669657, 0.08656436,\n", - " 0.785142 , 0.76375329, 0.75301317, 0.75388529, 0.74115644,\n", - " 0.10571223, 0.84165079, 0.76324914, 0.86947359, 0.31960138,\n", - " 0.08669657, 0.84162124, 0.9270073 , 0.33686298, 0.92705355,\n", - " 0.72554239]), array([1. , 1. , 0.92 , 0.84324203, 0.90191677,\n", - " 0.89543271, 0.89231634, 0.08695647, 0.88949809, 0.84124582,\n", - " 0.85367801, 0.75551882, 0.75536941, 0.75502596, 0.75502178,\n", - " 0.65629783, 0.63482741, 0.63002878, 0.08669657, 0.12169789,\n", - " 0.785142 , 0.76375329, 0.75358825, 0.75455846, 0.75332288,\n", - " 0.12208717, 0.84165079, 0.76324914, 0.72246212, 0.33234172,\n", - " 0.08669657, 0.84162124, 0.9270073 , 0.34388143, 0.92705355,\n", - " 0.72558337]), array([1. , 1. , 0.92 , 0.8943043 , 0.9396956 ,\n", - " 0.89543271, 0.89281476, 0.08695647, 0.89134336, 0.84124582,\n", - " 0.88031616, 0.75551882, 0.75543401, 0.75522475, 0.74841239,\n", - " 0.68996841, 0.63482741, 0.63002878, 0.08669657, 0.18551634,\n", - " 0.785142 , 0.76375329, 0.75259452, 0.75091801, 0.75293062,\n", - " 0.12208717, 0.84165079, 0.76324914, 0.57978425, 0.33234172,\n", - " 0.08669657, 0.84162124, 0.9270073 , 0.3515977 , 0.92705355,\n", - " 0.72563904]), array([1. , 1. , 0.92 , 0.92 , 0.96509333,\n", - " 0.89543271, 0.89323347, 0.08695647, 0.89239494, 0.84124582,\n", - " 0.89123557, 0.77895 , 0.75543401, 0.7553267 , 0.73000586,\n", - " 0.7269041 , 0.63482741, 0.63002878, 0.08669657, 0.253394 ,\n", - " 0.785142 , 0.76375329, 0.74954459, 0.74439913, 0.75110706,\n", - " 0.12208717, 0.84165079, 0.76324914, 0.47082987, 0.33234172,\n", - " 0.08669657, 0.84162124, 0.9270073 , 0.3515977 , 0.92705355,\n", - " 0.72569202]), array([1. , 1. , 0.92 , 0.92 , 0.97203455,\n", - " 0.92558053, 0.89323347, 0.08695647, 0.89286147, 0.84124582,\n", - " 0.89190665, 0.81715943, 0.77159014, 0.7553267 , 0.72134268,\n", - " 0.75394426, 0.63482741, 0.63002878, 0.08669657, 0.30351966,\n", - " 0.785142 , 0.76375329, 0.74954459, 0.72487447, 0.75026558,\n", - " 0.12208717, 0.84165079, 0.76324914, 0.39658569, 0.33234172,\n", - " 0.08669657, 0.84162124, 0.9270073 , 0.3515977 , 0.92705355,\n", - " 0.72574281]), array([1. , 1. , 0.92 , 0.92 , 0.97542019,\n", - " 0.96091468, 0.89323347, 0.08695647, 0.89306843, 0.84124582,\n", - " 0.89238617, 0.85163508, 0.80520092, 0.7707341 , 0.72220425,\n", - " 0.75394426, 0.63482741, 0.63002878, 0.13199049, 0.31296352,\n", - " 0.785142 , 0.76375329, 0.74157721, 0.72329284, 0.74558642,\n", - " 0.12208717, 0.84165079, 0.76324914, 0.3583914 , 0.33234172,\n", - " 0.08669657, 0.84162124, 0.9270073 , 0.3515977 , 0.92705355,\n", - " 0.72578683]), array([1. , 1. , 0.93552117, 0.92 , 0.97542019,\n", - " 0.97222658, 0.89323347, 0.08695647, 0.89316025, 0.84124582,\n", - " 0.89270567, 0.87872422, 0.84084514, 0.8034318 , 0.73903946,\n", - " 0.75394426, 0.63482741, 0.63002878, 0.20035729, 0.31296352,\n", - " 0.785142 , 0.76375329, 0.72561612, 0.72820149, 0.74272714,\n", - " 0.12208717, 0.84165079, 0.76324914, 0.34710736, 0.33234172,\n", - " 0.08669657, 0.84162124, 0.9270073 , 0.3515977 , 0.92705355,\n", - " 0.72582461])]\n" - ] - } - ], + "execution_count": null, + "id": "1c29ba3a", + "metadata": {}, + "outputs": [], "source": [ "# Run Water Quality analysis of a network (This function contains events)\n", + "tic = time.perf_counter()\n", "qual_res = d.getComputedQualityTimeSeries() # Value x Node, Value x Link\n", - "qual_res.disp()\n", - "\n", + "toc = time.perf_counter()\n", + "qual_res.disp()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "dc332f11", + "metadata": {}, + "outputs": [], + "source": [ "# Compute Quality step by step.\n", + "tic = time.perf_counter()\n", "d.solveCompleteHydraulics()\n", "d.openQualityAnalysis()\n", "d.initializeQualityAnalysis()\n", @@ -4758,28 +66,71 @@ " QsN.append(d.getNodeActualQuality())\n", " QsL.append(d.getLinkQuality())\n", " T.append(t)\n", - " tleft = d.stepQualityAnalysisTimeLeft()\n", - "\n", + " tleft = d.stepQualityAnalysisTimeLeft()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a751e38d", + "metadata": {}, + "outputs": [], + "source": [ "d.closeQualityAnalysis()\n", - "\n", - "d.printv(QsN)\n" + "toc = time.perf_counter()" ] }, { "cell_type": "code", - "execution_count": 3, - "id": "5bf4f3b8", + "execution_count": null, + "id": "03a1a6d0", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Close toolkit for the input file \"Net2\". EPANET Toolkit is unloaded.\n", - "\n" - ] - } - ], + "outputs": [], + "source": [ + "# API: Compute Quality step by step.\n", + "tic = time.perf_counter()\n", + "d.api.ENsolveH()\n", + "d.api.ENopenQ()\n", + "d.api.ENinitQ(d.ToolkitConstants.EN_SAVE)\n", + "tleft, T, QsN, QsL = 1, [], [], []\n", + "while tleft > 0:\n", + " t = d.api.ENrunQ()\n", + " QsN.append(d.api.ENgetnodevalues(d.ToolkitConstants.EN_QUALITY))\n", + " QsL.append(d.api.ENgetlinkvalues(d.ToolkitConstants.EN_QUALITY))\n", + " T.append(t)\n", + " tleft = d.api.ENstepQ()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b3ab3b5c", + "metadata": {}, + "outputs": [], + "source": [ + "d.api.ENcloseQ()\n", + "toc = time.perf_counter()\n", + "d.printv(QsN)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "eec6d874", + "metadata": {}, + "outputs": [], + "source": [ + "print(f\"getComputedQualityTimeSeries() runtime: {toc - tic:.6f} s\")\n", + "print(f\"Step-by-step (wrapper) runtime: {toc - tic:.6f} s\")\n", + "print(f\"Step-by-step (API) runtime: {toc - tic:.6f} s\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "736e8108", + "metadata": {}, + "outputs": [], "source": [ "# Unload library\n", "d.unload()" @@ -4787,27 +138,10 @@ } ], "metadata": { - "kernelspec": { - "display_name": "Python 3.10.6 64-bit (windows store)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.6" - }, - "vscode": { - "interpreter": { - "hash": "0df096debc758afc4e07b4a6d7176310e13b87e5b446a84739768769d4d90649" - } + "jupytext": { + "cell_metadata_filter": "-all", + "main_language": "python", + "notebook_metadata_filter": "-all" } }, "nbformat": 4, diff --git a/examples/notebooks/EX4_Plot_time_series.ipynb b/examples/notebooks/EX4_Plot_time_series.ipynb index 8452b73..7ed3c5c 100644 --- a/examples/notebooks/EX4_Plot_time_series.ipynb +++ b/examples/notebooks/EX4_Plot_time_series.ipynb @@ -1,147 +1,105 @@ { "cells": [ { - "cell_type": "markdown", - "id": "26448470", + "cell_type": "code", + "execution_count": null, + "id": "eacb84e3", "metadata": {}, + "outputs": [], "source": [ - "### Visualises/plots time series for node pressures, water velocity and water flow.\n", + "\"\"\" Visualises/plots time series for node pressures, water velocity and water flow.\n", " \n", - "This example contains:\n", - "* Load a network.\n", - "* Hydraulic analysis using ENepanet binary file.\n", - "* Change time-stamps from seconds to hours.\n", - "* Plot node pressures for specific nodes.\n", - "* Plot water velocity for specific links.\n", - "* Plot water flow for specific links.\n", - "* Unload library.\n", - "\n" + " This example contains:\n", + " Load a network.\n", + " Hydraulic analysis using ENepanet binary file.\n", + " Change time-stamps from seconds to hours.\n", + " Plot node pressures for specific nodes.\n", + " Plot water velocity for specific links.\n", + " Plot water flow for specific links.\n", + " Unload library.\n", + "\"\"\"\n", + "# Run hydraulic analysis of a network\n", + "from epyt import epanet" ] }, { "cell_type": "code", - "execution_count": 1, - "id": "56c57021", + "execution_count": null, + "id": "92e7a1e9", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "EPANET version 20200 loaded (EPyT version 1.0.5).\n", - "Input File Net1.inp loaded successfully.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ - "from epyt import epanet\n", - "\n", "# Load a network\n", - "d = epanet('Net1.inp')" + "d = epanet('Net1.inp', loadfile=True)" ] }, { "cell_type": "code", - "execution_count": 2, - "id": "e562eddd", + "execution_count": null, + "id": "cbc410b2", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " Attributes calculated in hydraulic analysis: ['Time', 'Pressure', 'Demand', 'Head', 'NodeQuality', 'Flow', 'Velocity', 'HeadLoss', 'Status', 'Setting', 'ReactionRate', 'FrictionFactor', 'LinkQuality', 'StatusStr']\n" - ] - } - ], + "outputs": [], + "source": [ + "# Close any open figures\n", + "d.plot_close()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2f7db1c8", + "metadata": {}, + "outputs": [], "source": [ - "# Run hydraulic analysis of a network\n", "# Hydraulic analysis using binary file\n", "# (This function ignore events)\n", - "hyd_res = d.getComputedTimeSeries()\n", - "print(f\" Attributes calculated in hydraulic analysis: {list(hyd_res.to_dict().keys())}\")\n", + "hyd_res = d.getComputedTimeSeries()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4f941542", + "metadata": {}, + "outputs": [], + "source": [ "# Change time-stamps from seconds to hours\n", - "hrs_time = hyd_res.Time/3600" + "hrs_time = hyd_res.Time / 3600" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d4ba66d8", + "metadata": {}, + "outputs": [], + "source": [ + "units = d.getUnits()" ] }, { "cell_type": "code", - "execution_count": 3, - "id": "5fc26434", - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": "
    ", - "image/png": "iVBORw0KGgoAAAANSUhEUgAAA6YAAAMQCAYAAAA0EXiDAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAC4jAAAuIwF4pT92AADosklEQVR4nOzdd3hTZfsH8O9J0703UNqy994gshEVEBmCuACZgv5QUBQXggqiviiIypChLygIgiioLNlLNpRpoaUtdO+VNuP8/uBt6EnSkTTtSdrv57py6blznufcCWmSO+c5zyOIoiiCiIiIiIiISCYKuRMgIiIiIiKimo2FKREREREREcmKhSkRERERERHJioUpERERERERyYqFKREREREREcmKhSkRERERERHJioUpERERERERyYqFKREREREREcmKhSkRERERERHJioUpERERERERyYqFKREREREREcmKhSkRERERERHJioUpERERERERyYqFKREREREREcmKhSkRERERERHJioUpERERERERyYqFKREREREREcmKhSkRERERERHJioUpERERERERyYqFKREREREREcmKhSkRERERERHJioUpERERERERyYqFKREREREREcmKhSkRERERERHJioUpERERERERyYqFKREREREREcmKhSkRERERERHJioUpERERERERyYqFKREREREREcmKhSkREVEJNBoNtm7diokTJ6JNmzYICgqCk5MTBEGQ3DIyMuROtUb44IMPjJ57oqrQp08fyeuuT58+cqdUqdavX2/0txYdHV1jjk/yUMqdABERkS06duwYnnvuOX4ZIiKqwfLz83Ht2jXcuHEDqampyMzMhKurK3x9fVGrVi107twZAQEBcqdZLbAwJZJJdHQ06tevX+79XVxc4O3tDW9vbzRp0gQdO3bEww8/jL59+0Kh4OAHIms6cOAAHnnkEWg0GrlTISKiKpSfn4+9e/fi77//xt9//40rV65Ap9OV2qZRo0Z45plnMGXKFISEhFg1lwsXLuDMmTM4c+YMzp49i2vXrhnlc+DAgWpxFp+FKZGdUKlUUKlUSExMxM2bN7Fz504AQL169fDyyy9j5syZUCr5J01UUfn5+XjmmWdMFqXBwcEIDAyEg4ODJG64TfeZ+gFu3bp1GD9+vDwJERGV4MiRI/j666+xc+dO5ObmmtU2MjISCxYswMKFC/HGG2/ggw8+gJOTk9k5JCUlYevWrTh79izOnDmDq1ev1qgfSPktlsjORUdH4/XXX8dPP/2En376CY0bN5Y7JSK7tmHDBiQkJEhiQ4YMwZIlS/j3RURUTa1ZswabN2+uUB8ajQaLFi3Crl27sHfvXgQFBZnV/vjx45gxY0aFcrBnLEyJbIi7uzsaNWpk8r68vDykpKQgPT3d5P1nz57FgAEDcOzYMdStW7cy0ySq1n799VfJdmhoKLZs2QIXFxd5EiIiItm4u7ujW7du6NatG2rVqoXAwEAUFBQgLi4Ohw4dwr59+4yG1l66dAn9+/fHoUOH4OfnJ1Pm9oeFKZEN6dSpEw4ePFjqPrdu3cKmTZvw5ZdfIiUlRXJfTEwMnnrqKZw4caISsySq3v755x/J9rBhw1iUElGNMn78+Bo95N7V1RXDhw/HhAkT0KdPnxIvlXr77bdx69YtTJ8+HXv27JHcFxERgVmzZmH9+vUVzkcQBDRq1AidOnXC1atXcfHixQr3aYs4YwqRnWnYsCHeeecdXL58GV26dDG6/+TJk9iyZYsMmRHZv/z8fKMffJo2bSpTNkREVJV8fHwwf/583Lt3Dxs3bsSAAQPKnL+jYcOG+OuvvzBp0iSj+3744QecPn3a7Dzq16+Pp556CosXL8b+/fuRnp6Omzdv4scff0S7du3M7s9e8IwpkZ2qVasWdu7ciTZt2hhdD7dy5Uo89dRTMmVGZL8yMzONYu7u7jJkQkREVWncuHFYunQpvL29zW4rCAJWrFiBM2fO4MKFC/q4KIrYsGEDOnfuXK5++vTpg9TU1Bo7/JdnTInsWGBgIObMmWMUP3r0KPLy8mTIiMi+qVQqo5ggCDJkQkREValv374WFaVFHBwc8N577xnFi1ZRKA8fH58aW5QCPGNKZPdGjBiBWbNmSWIFBQW4cuVKuX+hM6TVanHhwgVcvXoViYmJUKlUcHd3R5s2bdC/f/9y9xMTE4NLly4hOTkZycnJcHBwQEBAAOrUqYPu3bvDw8PDovxMUavVuHbtGiIiIpCWloasrCwIggBXV1f4+PggLCwMDRo0QL169Sp0HK1Wi3///ReXL19GcnIysrKyoNVq4ebmBi8vL4SGhqJ+/fpo2LBhtVtfVhRFXLlyBREREbh37x7y8vLg4uKCRo0a4cknnyx3P4mJiTh37hySk5ORlJQEnU6HwMBABAcHo1u3btX6Q1mr1eLcuXOIiopCcnIyMjMz4efnh8DAQDRp0gStW7eukjySkpJw5swZREVFITMzE4IgICAgAMOHD68WC8Xn5+fj5MmTuH79OtLT0+Hq6orAwEC0atUKbdu2rbQfG27cuIEbN24gKSkJKSkpcHZ2RmBgIEJDQ9G1a1ebv1ZZp9Ph3LlzuHz5MpKSkvSviwYNGqBHjx4WLX9Rlry8PJw6dQr37t1DcnIyVCoVAgMDERQUhPbt21faZH6pqak4efIk7t69i+TkZLi6uiIsLAwdO3Y0a43xiigsLMTp06dx9+5dJCUlISsrC76+vggMDESLFi3QokWLKsmjKmi1Wpw8eRJRUVG4d+8eAMDf3x8tW7ZEp06dqs1yd48++igUCoVkMqQ7d+5Ap9NVu+8ElUIkIllERUWJACS33r17W9SXu7u7UV+7du0y2u/AgQNG+x04cEB//507d8QZM2aIvr6+RvuVN7+4uDhx9uzZYrNmzUz2UXRzdHQUH374YXHTpk2iTqez6HGLoij+/fff4pgxY0RXV9dSj1d0CwgIEIcMGSKuWrVKTE5OLvdxzpw5I06cOFH09vYu13G8vLzEAQMGiF988YUYGxtbZv+G7efNm2fR8zFu3DhJP+Hh4WW2MfVaXLdunf7+lJQUce7cuWKtWrVMPtbyHCMtLU384IMPxPbt24uCIJT4vCkUCrFTp07iihUrxMLCQoueA3OsW7euXP+eJd3K89hFURRPnz4tPv300yX+bRXd6tSpI06ePFmMjIy06PH07t27xL9ZnU4nbty4UezWrVuJ/wbF3w8sVdHntLT3mnnz5hntW1xkZKQ4fvx40c3NrcS+g4ODxfnz54s5OTkVfqyiKIo3btwQp02bJoaHh5f6mFxcXMRBgwaJu3fvtspxzVHWe39mZqb4/vvvi8HBwSXm7+7uLo4fP16MiYmxSk4///yzOHDgQNHZ2bnU561ly5bivHnzxMzMTKsc9+DBg+Kjjz4qKpXKEo/ZunVrcf369ZLPptL+tsyh0+nELVu2iIMHDzb52W34fjBjxoxyfYZYm6m/46ioKLP7SU5OFl955RUxMDCwxMfp6+srvvbaa2JSUpLVjy8HU481ISHBav0bfs5b673bFrAwJZKJNQvTOnXqGPW1ceNGo/1K+3Ly3Xfflfplrqz88vLyxNdff110cXEx+0tomzZtxMuXL5v1mNPS0sThw4dX6MvvmDFjyjyOSqUSp0yZIioUCouP07Vr1zKPY9jGVgrT33//XfTz8yv18ZV2DI1GIy5atEj08fEx+3mrX7++ePDgQYueh/Kq7MI0OTlZHDNmTKnFuKmbo6Oj+H//93+iSqUy6/GU9OU5ISFB7NWrV5nHtefCdPny5Wa9/9SrV0+8efOmxY8zJSVFnDhxoujg4GDR46vKYqO09/7Dhw+LISEh5c7d1dVV3LFjh8W5nDt3TuzcubPZz1lAQIC4YsUKi4+bl5cnTpw40ay/xd69e+t/wLRGYXr48GGxQ4cOZj92Z2dn8b333hO1Wq3Fj99c1igMf/rpJ9Hf37/cj9Pf31/8888/rXZ8uZj6wcFaP6yIYvUuTHlOmagaMDVhi4+PT7nbf/bZZ5g0aZLF16UmJCSgT58++Pzzz01eo1eWS5cuoUePHvjjjz/KtX96ejr69OmD7du3m30scxQWFmLw4MFYtWqV0RplNcHmzZsxbNgwpKWlWdQ+OzsbTzzxBObOnYuMjAyz20dFRWHgwIFYu3atRceX2+3bt9GjRw9s3rwZoiia1VatVmPZsmUYOHBgiWsXl1dCQgJ69OiBw4cPV6gfW/b222/j5ZdfNuv9Jzo6Gj179sTdu3fNPt7NmzfRrVs3rFmzBlqt1uz2hw4dQufOnS2ardOadu7ciQEDBpj1HOTn52PkyJH466+/zD7eX3/9hYcfftiix52SkoJp06Zh5syZZr8f5+fnY+jQoVizZo1Zf4uHDh1Cr169Kvw3CACrVq1Cv379cO7cObPbFhQU4MMPP8Tw4cORm5tb4VyqwqpVq/DMM88gNTW13G1SU1MxdOhQs67JtDUJCQlG/0ZFl/pQ2arHgG6iGuzOnTsmP6gCAwPL1X7Pnj345JNP9NvOzs7o27cv+vTpg1q1akGpVCIuLg6nTp1CTk6OUfvExER069YNd+7cMbqvVatW6N27N1q2bKkvlJOSknDixAn88ccfyM7O1u+bnZ2NkSNH4vjx42jfvn2pOc+aNQuXLl0yijdp0gQDBgxAs2bN4O/vD2dnZ+Tk5CAjIwM3b95EREQETp06hYKCgnI9N4sWLcL+/fuN4qGhoXjkkUfQokULBAcHw8XFBXl5ecjKykJkZCQiIiJw4sQJu/kCYUpERASWL1+u/wLo4OCAnj17on///qhbty5cXV1x9+5dnD9/HufPnzdqn5eXhz59+pj8EtawYUP07dsXbdq0gZ+fH5RKJVJSUnD69Gn88ccfSE5O1u+rVqsxadIkBAcHY/DgwVZ/nH5+fmjbtq1+u7CwENeuXZPsExoaWuJ1r3Xq1DEZT0pKQs+ePREfH290X926dTFixAg0b94cfn5+SEpKwsWLF7F9+3ajL3FHjhzBgAEDcPz4cTg7O5v78KDT6TB69Gjcvn1bH2vQoAEGDx6MZs2aISAgAKmpqYiKisIvv/xidv+mFH9OzX0+izRq1Kjcx1u5ciUWLVqk3w4MDMRjjz2Gzp07IzAwECqVCpGRkdi+fTuuXLkiaZuUlISpU6ea9UX46tWr6Nmzp8lipUuXLnjooYfQtGlT+Pr6orCwEPHx8Th+/Dj+/PNPyXtPQkICHn/8cZw7dw6hoaHlPr61XLhwAXPnzkVhYSGA++s29u/fH7169dK/98fGxmLPnj1G74MajQaTJk3ClStXyj1ZzIEDBzB06FBoNBqj+9q1a4ehQ4eiXr16cHV1RXx8PA4dOoTdu3cbvV8vW7YMWq0Wy5cvL/djffrpp02+l/v7+2P48OFo27YtgoKCkJqaiitXrmDbtm36v91r167hhRdeKPexTPnkk08wd+5co7i7uzsGDhyIzp07o3bt2vD09ERmZib+/fdf7N271+j987fffsPEiROxadOmCuVT2X755RdMmzbN6EcABwcH9O3bFwMHDkRISAjUajViY2Oxc+dO/frRGo0GY8eOxezZs+VIvcK2bt1qFLN0vo8aSeYztkQ1lrWG8i5ZssSoHycnJ5PXT5kazlV8GNrIkSNLvX4oPz9fsq3VasV+/foZ9dmjRw/x5MmTpeadnp4uzpo1y2hYVf369cWsrKwS28XExBi1CQwMFH/77bcynqn7cnJyxO3bt4uDBw8Wn3nmmVIfq4eHh+Q4bm5u4tq1a8s1nEqlUol79uwRx44dK/bq1avM/Q2fQ7mH8hZ/XfTp00e8cuVKie0NXxem8gAgtmjRQtyzZ0+p1xTn5eWJixYtEh0dHSVtfX19q2ToY1nX25aHTqcTH3vsMaN+XF1dxSVLlpT4+snLyxPnzJljctj4q6++Wq5jGw43LP7v6O/vL/7www8lPv86nc7socNlscbzWZypobxFw3cdHR3FRYsWmXw9iuL9x7d06VKTz++JEyfKdfycnByxRYsWRu2HDBkiXr16tdS28fHx4nPPPWfUtkuXLpU+RNPUe3/xYc/PP/+8eO/evVLbmxrSv2jRonIdPyUlxeRw4bCwMP3QTVNiY2PFwYMHmxz2+euvv5br2KaGhAqCIL7++utiXl6eyTZqtVr88MMPJe9DhvMYlPfzet++fUavOVdXV3HRokVlDu88cOCA2LBhQ6P8ly9fXq5jV4SlQ2mTkpLEgIAAk6/z0j5HDh06JHmspuaNsPWhvDqdTmzTpo1R3kuWLLHqcarzUF4WpkQysUZhmpycbHJCmn79+pnc39SXk6Lb//3f/5n9GBYvXmzUz4wZM8yazGjt2rVGfSxevLjE/ZcvX260v6XXIebm5pZ4386dO42Os379eqsfp4jhseQuTItuI0aMMHsSos2bNxv18+STT4oFBQXl7mP37t1GxelLL71kVh6WsEYhtXHjRpNFwL59+8rVfuXKlSa/SJ8+fbrMtoaFadEtODi41C+FlaUqClPg/jV45X1+P/74Y6P2EydOLFfbl156yaz3q/I+hs2bN5vVh7lKe+//8MMPy9XHkSNHjH4UbNSoUbnaTp482ei49evXL9ePTTqdzmRBHxgYWGJhWSQjI8PkhGNfffVVufLesmVLidcQl+fzOisry2hCqaCgIPHSpUvlOn7RYzAsdgICAsr1uVIRlhamEyZMMGr38MMPl/lvJYr3r4Vv3Lhxia9VWy9MTX2fcXV1FRMTE616HBamRGR1FS1MExISxO7du5t88/7pp59Mtinpy0mXLl1EjUZjVv65ublGv4oOHjzYrD6KTJo0SdJPrVq1SixiZs2aJdm3cePGFh2zLMuWLTP6cFGr1ZVyLFG0zcK0Xr16YnZ2tlnH1+l0YsuWLSX9tG3b1qIZdj/66COj4s7aH/CGrFFIdezY0aiPZcuWmdXHtGnTjPoYO3Zsme1KKkx///13s45vLVVVmJrz/BYWFhqdvatbt26Z7eLi4kQnJydJu+nTp1v0OAYOHCjpp3379hb1U14lvfePGDHCrH5Gjx5t1EdZM0gnJycbTUrl4OAgnj9/vtzHVavVYuvWrY2OvXLlylLbGb6PA/fPDptj7ty5Jp+78nxef/rpp5I2CoWi3Gfni7t165bRa2/p0qVm92MOSwrT5ORko1mW/fz8JLPtliUiIqLEGZNtuTCNjo42OWv/u+++a/VjVefClJMfEdmZ27dv45NPPkGbNm1w4sQJo/s7d+6MMWPGmNXnZ599BgcHB7ParF27FikpKfpthUKBr776yqw+irz//vuSdQUTEhJMPjYAkutSgfvXCFUGw+N4e3tXm3XWymv+/PlmrzW7a9cuo+v4li5dCkdHR7OPP2vWLHh6euq3VSoV/vzzT7P7qUonT57E2bNnJbHWrVtjxowZZvWzaNEi+Pr6SmJbt25FYmKi2Tn17dsXQ4YMMbudvWjQoIFZz6+jo6PRe2RcXBySkpJKbffFF1/or8cEAC8vL8n1+eZ4//33Jdvnz583eZ1+ZVIoFPj000/NavPcc88ZxQxf74a+++47o0mppk6dinbt2pX7uEql0uTnS1nXma5YsUKy7eLigs8++6zcxwWAd999F7Vq1TKrDXD/+uovv/xSEnvhhRfQrVs3s/tq0KABnn/+eUmssif/s8S6deuMrgmeN29euee8AICWLVvipZdesnZqlaqgoACjRo0ymoiyadOmePvtt2XKyj6xMCWyIWfOnEG7du1M3po2bQp/f380bNgQc+fONfklKiQkBFu2bDFr8fjGjRujV69eZudqeIF/v379LF6UPDQ0FK1bt5bEDh48aHJfw0L08uXLJmclrijD4yQmJiIyMtLqx7FVXl5eeOqpp8xuZ/i6aNy4MXr37m1RDq6urujbt68kVtLrwlbs3bvXKDZ16lSzF1b38fHB2LFjJTG1Wm3R4584caLZbezJiy++aPbz26VLF6PYjRs3Sm1j+NoePXq05IcTc/To0cNo5vSqfm3369cPDRs2NKuNJc+bqb+J6dOnm3VcAPqJ9Iq7fPlyiT/WxMTE4OrVq5LYE088geDgYLOO6+bmZrIgL8vx48dx7949SWzSpElm91PEcPK3kydPlnsiv6pi+MOhs7OzRRNHTZ061VopVTpRFDF+/HicOXNGEnd2dsbGjRvh6uoqU2b2iYUpkQ3Jzc3FxYsXTd5u3rxZ6rId7dq1w/79+xEeHm7WMfv06WN2ngUFBTh16pQk9tBDD5ndT3GGRa2pmV4BoGvXrpLt3NxcPP300xYvaVISw+OIooinn34asbGxVj2OreratatFH6iHDh2SbPfo0aNCeZT3dWErjh07ZhQbOXKkRX2NHj26XP2XxbC4r24s+eHDVEFW2g9cd+7cMTqjWZH3PIVCYfReXdWvbUuet+DgYLi7u0tipT1vWq3W6LOiWbNmRgVmeZn6saykv4mTJ08axUaMGGHRcS1pZ/he6OjoWKHZWQ3fC1UqldGM13LS6XRGywD17dvXrKXrirRs2RJNmjSxUmaV68033zQ5S/JXX32Fjh07ypCRfatZ49KIqqGwsDDMmDEDr732mkXDJTt06GB2m7NnzxoNzVq7di1+/fVXs/sqEhMTI9kuPky4uEGDBqF27dqSZTj++usvNGjQAM8++yxGjRqFnj17WvRcFNeuXTu0b99e8mXx7NmzaNKkCUaPHo3Ro0ejX79+1fbXUEteF/fu3UN0dLQk9tdff5k1ZM9QQkKCZLuk14WtMFzeoW7duhYNAwSAjh07QqFQSNZsNHcNxODg4BKXtKkuGjdubHYbU0uclFZgmSp+PvroI6OhmuYwHIFR1a9tS5434P5zV3wprNKetxs3bhgtm9WpUyeLjguYXnbj3LlzJgtHU0OMLS0U2rVrBwcHB7PWrDX1mjF1xrm8ig8jL2JL74c3btwwWlKuIoVZx44dcfPmzYqmVakWLlxocmj4e++9h8mTJ8uQkf1jYUpkJ5ydneHl5QUfHx80adIEHTt2RK9evdC3b1+zh7EVFxQUZHabuLg4o1hsbKxVzyaWtCi3q6srli9fjlGjRknWSMvMzMQ333yDb775Bm5ubujevTu6du2Krl274uGHHza6Xq88vvnmG/Tp00cyXEqlUuGHH37ADz/8ACcnJ3Tu3BndunVD165d0atXL7OHidkqa70uEhMTLbousiTmLNZe1URRNMqvefPmFvfn4eGB0NBQyZk6c7+IWvLvaG/KWhPVFFM/XKnV6hL3N/XavnXrltnHLU1Vv7Yted4A4+eutOfN1Ou1In8TLVq0KNcxABhd7qJUKs0eulzE1dUVYWFhiIqKKncbw9eMWq3GxYsXLTp+SWzp/dDU5UVNmza1uL9mzZpVJJ1Kt2zZMrzzzjtG8ddeew0LFiyQIaPqgYUpkQ3p3bt3lV9n5OXlZXabqvgwzM/PL/G+ESNGYMOGDZgyZYrRr/EAkJeXh/379+sXVFcoFGjfvj2eeuopPPPMM+VezL5bt27YuXMnxo4da/LLT2FhIY4dOyb5Zbx58+YYNWoUnn322Qp9KMvNVl8XhmfqbUlWVpbk7CYAi4axFefr6yspTM0dsm7Jv6O9qejoiPKQ+z2vMlTF85aenm4Uq8jfhKkfGEv6m8jIyJBse3p6mjX/giFTZ9lLUx1fM6UxfL4B858za7WtbCtWrMDMmTON4i+99BKWLFkiQ0bVB68xJarhLJlp1tSXjar2zDPP4MaNG5g+fXqZE5DodDqcPXsWb731Fho2bIhJkyYhOTm5XMcZMGAAbty4gblz5yIgIKDM/a9du4YPP/xQX6Ca8wu7LbHX14WcDGdyBmB0PZ65DNubOkZpatpM0pWlpr+2LWXtvwlTbUv6mzCMW/tvsSw17TVTFf/WtmDt2rUmJ++aOHEivv76axkyql5YmBKR2UxdV/ntt99CvL82slVuhtcqmhISEoKvv/4aiYmJ2LZtG15++WW0bdu21KVv1Go11qxZgzZt2pT7ej0/Pz8sXLgQ8fHx+Ouvv/D666+jS5cucHJyKrGNKIr45Zdf0K5dO+zevbtcx7F3pl4Xb775plVfF8WHb9saUz+QmDqjbw7D9pbOAksVY+q1/eeff1r1dW3rM05bwtp/E6balvQ3YRi39t9iWQxfM8HBwVZ/Lxw/fnyFHpM1VcW/tdx++OEHTJ482ehzaNy4cVi1alWFzsjTffwplYjMZurMobVnxTWHq6srhg8fjuHDhwMAcnJycPLkSRw9ehR//fUXTp8+bTTEMiEhAYMHD0ZERES510JVKpUYNGgQBg0aBOD+7MSnT5/G0aNHsXv3bhw9ehQajUbSJisrCyNHjsS5c+eqZJbB0q73qmy29rqoal5eXkaTFZka3mYOw/aWXhdIFVPTX9uWMjX0tiJ/E6balvQ3YThkODs7G6IoWlw8mLssWUBAALKysvTb1f0Mqqkh2hVZyq0yloGriB9//BETJkww+i7x7LPPYu3atRWa64Me4LNIRGYzNcFPVS8OXxoPDw8MGDAAH3zwAU6ePIk7d+5g7ty5cHFxkeyXkJBg9gLzxTk7O6Nnz5546623cODAASQkJGDx4sVGH9C5ubl47733Su3LcMilpQWmnJNh2PrrorIJgmBUwFRkOYfc3Fyj2arLM5ycrK+mv7YtFRgYaBSryN+E4bqkQMl/E4YTf2k0GosnrMrPzzf6WyyL4WumsLBQMpt8dWNqorWy1rgtzfXr1yuSjlVt2rQJL7zwglFR+vTTT+P7779nUWpFfCaJyGydOnUyeiM+fPiwTNmUrW7duli4cCH27NljNMz3l19+sdpx/P39MWfOHJw8edJoWNPOnTtLXQzdcJKa4r+0m8NwCYqq1KhRI6OzF8ePHzdriQV7Z7jMTlxcnMWzEp89e9boixDXxZOH4brGgG2/59mKJk2awMPDQxI7c+aMxf0ZrpMJlPw3YSpuagmZ8rhw4YLZ72M17TXTtGlTo39rS5/vira1pi1btuC5554z+vd/6qmnsGHDhlIvHSLzsTAlIrP5+fkZfehfv37d5K/ZtuThhx/G0KFDJbFbt24hLy/Pqsdp2rQpJk6cKInl5eWV+mu94VnW27dvm33cu3fvWn0JC3MoFAr0799fEsvJycGePXtkyqjq9ejRwyi2detWi/rasmVLufq3ZaYmX7LHHyratGljdEbo8OHDNrVchy1ycHAwWrvz+vXruHLlikX9mfM30a1bN6PY9u3bLTrutm3bzG4zcOBAq/RjLxQKhdE6swcPHrRo6PaVK1dsYg3Tbdu24ZlnnjF6zxoxYgR+/PFHFqWVgIUpEVlk2LBhRrFPPvlEhkzMY2pttMq4lsXc4xguLXPmzBmjs2VlWbVqlVn7VwZTr4tFixbJkIk8iq4/Lm7VqlVm/1tmZmbixx9/lMQcHR3Rt2/fCuVX1UxNiJKTkyNDJhUjCAKeeOIJSSwvLw9Lly6VKSP7YepvYsWKFWb3c+TIEUREREhibdq0KXHt6LCwMKN1T3fs2GFyvc3S5OfnY8OGDeYli/vLvxkuefLLL7/g33//Nbsve/HYY49JtlUqFf773/+a3c/q1autlZLFfvvtNzz99NNG80Y8+eST2LRpE2c8ryQsTInIIi+//LLRWb4NGzZY/It0VTG8xsfUdYGVcRzA9PVWRQzPQCclJenXYS2PmJgYLFu2rPwJVpIxY8agUaNGktiRI0fwxRdfyJRR1erSpQs6deokiV26dMnsL+LvvPOO0eQ6o0ePNnkdly3z9PQ0+gJnyWgAW/DWW28ZPZbFixfj1KlTMmVkH1588UWj6/tXrFiBS5culbsPjUaDV155xShuKlbctGnTJNsqlQpz5swp93EB4OOPP0ZCQoJZbYD7y5289tprkphWq8Vzzz1X6mUd9mzChAlwdnaWxObPn2/WyIKrV6/im2++sXZqZvnjjz/w1FNPGc31MHToUPz8889VsgZwTcXClIgs4u3tjTfeeEMSE0URL7zwAnbs2GFxv3/++SdeeumlEu//4IMPLP4iGBsba1Q4N2/e3OSHzBdffIG9e/dadJysrCysX79eEvPx8UF4eHiJbQx/aQbufxEuzyRI6enpGDVqVIVngLUGpVKJ+fPnG8XnzJmDlStXWtzv8ePH8cwzz1QktSoza9Yso9jrr79e7uvL1q5da/TFTBAEoy+59kChUBidtdq9e7fZZ5BtQcOGDTFhwgRJrLCwEMOGDcPx48ct6lOr1WLTpk145513rJGiTQoICMALL7wgiWk0GowcObJckwGJoohJkybh4sWLknhQUBCee+65Utu+8MILRj+gfv/99+X+oWj79u1YvHhxufY15bXXXjP64fOff/7BqFGjLB6pk5SUhHfffdfiz6fKFBAQYPQ+nZqailGjRkGlUpXZPikpCSNHjpR1dvm9e/dixIgRKCwslMQHDx6MrVu3siitbCIRySIqKkoEILn17t27Uo954MABo2MeOHDA4v7UarU4YMAAoz4FQRAnT54s3rp1q1z93Lx5U/z444/Fli1bigDEli1blrhv27ZtRQBi165dxS+//FK8c+dOuY5x7NgxsVGjRka5Lly40OT+w4YN0+fy8ccfi9euXSvXcSIiIsTOnTsbHWfKlClltm3evLlRuyFDhoipqakltvn777/Fpk2b6vd3cXGRtA8PDy/zuKZei+vWrSvX4y3JhAkTjPoEII4YMUK8ePFiufqIjY0Vv/zyS7Fr164iANHd3b1COZWHtZ6Lxx9/3Kgfd3d38auvvhK1Wq3JNvn5+eJbb70lKhQKo7avvfZauY7bu3fvKn1PKY9p06YZPZ4JEyaI0dHRZvc1b948o74sYem/c3Z2tti6dWujto6OjuKcOXPE+Pj4ch3/woUL4jvvvCPWq1dPBCAOHjzYosdRXtZ87w8PD5f0M27cuDLbpKamiiEhIUY51K9fX9y7d2+J7eLi4sShQ4eafC/59ddfy5XvunXrTH5Gvfnmm2J+fr7JNmq1Wly4cKHo5OSkb+Pq6mrR39a+fftEpVJplEPDhg3FDRs2iGq1usw+8vPzxV9//VV89tln9e/xW7ZsKdfxLWXqeYuKiiqzXVJSkhgQEGDUtnv37uLVq1dLbHfkyBGxcePGJT7f5T1+RRw8eNDkcR977DFRpVJV6rHNMW7cOKt+l7MlHCBNRBZTKpX4+eef0aNHD8nU7qIoYvXq1Vi7di06deqEXr16oX79+vDz84NOp0NGRgaSk5Nx6dIlnD17FtHR0WYf+9SpUzh16hReffVVNG3aFO3atUPr1q0RGBio/4U8IyMDN2/exIEDB3Du3DmjPho3boyZM2eWepwrV67gnXfewTvvvIN69eqhffv2aNu2LYKDg+Hj4wOlUomsrCxERkbiyJEjOHbsmNHi2/7+/ibPIhpauHChfi3WIjt37kTDhg0xatQodO7cGb6+vvrj7d69G+fPn9fv27NnT4SHh2Pjxo1lHquyrVixQv+cFLdt2zZs27YNbdu2Re/evdG4cWP4+/tDoVAgIyMDqampiIiIwNmzZ/Hvv/8aPZf2Yt26dWjXrp3kjFBubi5eeeUVfPbZZxgxYgSaN28OHx8fpKSk4MKFC9i+fTtSUlKM+urQoYNdX6f74osvGp2hWrduHdatW4fAwEAEBgYanYXo1KkTvvvuu6pMs1w8PDzw22+/oVu3bpLZltVqNT799FN8+eWX6N69Ox5++GHUrVsXfn5+KCwsREZGBhISEnDhwgWcPXu2Wi8bYoqfnx/++9//4pFHHpFcsxcVFYWBAweiQ4cOGDp0KOrVqwcXFxfEx8fj8OHD+Ouvv0yeaZsxY4bJ69lNGT9+PLZv347ffvtNHxNFEYsXL8aaNWswYsQItG3bFgEBAUhPT8eVK1fwyy+/4N69e/r9hwwZguzsbBw6dMjsx96/f38sW7YM06dPl8Rv3bqF5557DrNnz0afPn3QsWNHBAYGwsPDA9nZ2cjIyMDt27dx9uxZXLhwAfn5+WYfWw6BgYFYsWIFnnrqKcn794kTJ9CmTRv069cPAwYMQEhICDQaDWJiYrBr1y6cOnVKv7+Hhwdmz55drs9Na5o0aZLJ5zkqKsrkLMvm+O6774wu8yjJ+++/L3m9GjK1dNGkSZOMZkUubsGCBUbXydskOatiopqsOpwxLZKWliYOHjzY5K/altzKc8a0ore6deuKERERJR6n6IxpRW8+Pj7ioUOHyv1clnSmsaxb8+bNxeTkZKNfUuU6YyqK93/lf/HFF632urCnM6aiKIqRkZEmz9Kbc+vZs6eYlpZW7mPa4hlTURTF8ePHm/W4S8pb7jOmRWJiYvRn8q1xq+5nTIvs2rVLdHd3r9Bz9corr5Q46qAkeXl5Yr9+/Sw6XrNmzcS0tLQK/21t3bpV9PT0tNprxlbPmBZZsWKFKAiC2Y9LqVSKv/32W4WPbwnD17Y1b+b8vZk6I1rRmzU+06sCrzElogrz9fXF77//ji+//LLEGRLLKzw83Og6ruJq1apVof6B+xMYnDx5Ei1btqzU4/Ts2RPHjh1Dr169yt1m9erVmDx5slnHGThwII4ePVopkzhVhIuLC9asWYMNGzagQYMGFeorKCjI6IyDrWvYsCGOHz+O0aNHQxAEs9o6OjrilVdewd69e+Hr61tJGVadFStWYObMmdVmIfrQ0FAcPnwY7733ntHMq+Zq3rw5xowZY6XMbNvjjz+Ow4cPl/vMUXH+/v749ttvsWzZMrNfR66urvj999/x4osvmtWuZ8+eOHz4sFX+BkeOHIkzZ85gyJAhFepHqVRiyJAhaNOmTYVzqkxTp07Fxo0bjda2Lo2vry927NhhtKwb1RzV4xOCiGQnCAJmzpyJ6OhofPPNN+jbt6/RTIymKBQKdOjQAXPmzMHBgwcRFRWF2bNnl7j/X3/9hatXr+Lzzz/HkCFDyl2MeXt7Y9y4cTh06BB+++03hISElLr/ihUrEB0dja+//hqjRo0qc/8irq6uGDVqFH7//XccOXLEaOKXsjg4OGDVqlXYu3cvevToUWpB07ZtW2zYsAF79uwx68O/qj377LO4efMmNm7ciMcee8zkEiKmtGjRAv/3f/+HP/74A3fv3sWnn35ayZlaX2BgIDZv3ox//vkHY8aMKfMLbu3atTF58mRcu3YNy5YtK9ffkD1wdnbGl19+iejoaHz66acYMWIEmjZtCn9/fzg5OcmdnkWcnJywYMEC3LlzB5988gm6d+9eriUkHB0d8dBDD2HevHk4ffo0rl69iueff74KMrYNHTp0wD///IPNmzdjwIABRrO4GmrRogXef/993Lp1y2iWXXO4ublhzZo1OHjwIAYNGlTqv1WLFi3w3Xff4dChQ6XOpm6uJk2a4Pfff8fFixcxefJk1K9fv1zt/P39MWrUKKxcuRJ3797F77//jiZNmlgtr8oyduxYXL9+HS+//HKpz6O3tzdeeeUVXLt2DY8//ngVZki2RhBFO72Ah4hsXkFBAc6cOYO7d+8iNTUV6enpUCqV8PT0REBAAJo0aYKmTZtW+Mt3TEwMbt26hejoaGRkZCA3NxeOjo7w8vJCUFAQWrdujUaNGlX4bE18fDwiIyMRHR2NtLQ05ObmQqFQ6B9Py5Yt0axZM6uub5acnIyjR48iPj4e6enpcHZ2RmhoKLp06VLuLzW2RqPR4Pz587hz5w5SU1ORlpamfx59fX3RuHFjNGvWrNTrZeyVVqvFmTNnEB0djeTkZGRlZcHHxwdBQUFo0qSJzZ8FodLl5ubi9OnTiI+PR2pqKjIyMuDi4gJPT08EBQWhadOmaNy4MWf2LCY3NxcnT55EfHw8kpKSUFhYiICAAAQFBaF9+/YIDQ2tlOOmpqbi+PHjuHfvHlJSUuDi4oLQ0FB07NgRDRs2rJRjmhITE4NLly4hJSUFqampUKlU8PDwgJeXF8LCwtCsWbNy/zBqyzQaDU6cOIGoqCjEx8dDFEX952anTp34N0EAWJgSERERERGRzDiUl4iIiIiIiGTFwpSIiIiIiIhkxcKUiIiIiIiIZMXClIiIiIiIiGTFwpSIiIiIiIhkxcKUiIiIiIiIZMXClIiIiIiIiGTFwpSIiIiIiIhkxcKUiIiIiIiIZMXClIiIiIiIiGTFwpSIiIiIiIhkxcKUiIiIiIiIZMXClIiIiIiIiGTFwpSIiIiIiIhkxcKUiIiIiIiIZMXClIiIiIiIiGTFwpSIiIiIiIhkxcKUiIiIiIiIZMXClIiIiIiIiGTFwpSIiIiIiIhkpZQ7ASJ7l5GRgUOHDum3Q0ND4ezsLGNGRERERETmKygoQGxsrH67d+/e8PHxqZJjszAlqqBDhw7hySeflDsNIiIiIiKr+vXXXzFs2LAqORaH8hIREREREZGsWJgSERERERGRrDiUl6iCQkNDJdu//vorGjVqJFM2RERERESWiYyMlFyiZvg9tzKxMCWqIMOJjho1aoSWLVvKlA0RERERkXVU5YSeHMpLREREREREsmJhSkRERERERLJiYUpERERERESyYmFKREREREREsmJhSkRERERERLJiYUpERERERESyYmFKREREREREsmJhSkRERERERLJiYUpERERERESyYmFKREREREREsmJhSkRERERERLJiYUpERERERESyYmFKREREREREsmJhSkRERERERLJiYUpERERERESyYmFKREREREREsmJhSkRERERERLJiYUpERER2IUlTgHOqTIiiKHcqRERkZUq5EyDbk5SUhMuXLyMqKgrp6enQaDTw9fVFYGAgOnTogPr168udIhER1TB/5CbhuYQL0AHo7eqH7bU7QiEIcqdFRERWwsLUhqWmpuLMmTM4ffo0/vnnH5w+fRoJCQmSfebNm4cPPvigQsfJyMjArl27sG/fPuzfvx+xsbGl7l+7dm288MILmDFjBkJDQy065vjx4/H9999b1La4y5cvo1WrVhXuh4iIbJdKp8WryVeh+9/2ofw0/JWXjMfdg2TNi4iIrIeFqY1ZsmSJvhC9fft2pR7r9u3bmDlzJvbs2YPCwsJyt4uPj8fixYuxZMkSLFiwAHPmzIFCwVHhRERUObbkJCBJK/2c2peXwsKUiKgaYWFqY2bPnl1lx7p58yZ27txpcXu1Wo25c+fi+PHj2LZtG5RKvpyIiMi6RFHE1xnRRvG/81KrPhkiIqo0rCRIIiQkBI888gj69OmDtm3bIigoCO7u7khJScGpU6fw/fffY/fu3ZI2v//+OyZOnFihobkPPfQQevbsaXa7wMBAi49JRES2b19eCq6rc43i0Zp83FbnoYGjmwxZERGRtbEwtXEeHh7o2LEjOnfujM6dO2PMmDFWP4YgCBg6dCimTJmCRx99FA4ODkb7eHl5oUGDBhg7dix27NiB559/HtnZ2fr7f/jhBzz77LN45JFHLMphwIABFb5WloiIqp/lmXdKvG9/XgoaeIdVYTZERFRZWJjamC5duuiL0M6dO6NZs2aS6zetWZgKgoBHH30UCxcuRPv27cvdbtiwYdi2bRsGDRoEnU6nj7/33nsWF6ZERESGLhVk4VB+Won3/52XisksTImIqgUWpjbm1KlTVXasAQMGYNCgQRa3ff755yXDd0+fPo179+6hTp061kqRiIhqsK8zSj5bCgBH8tNQKOrgJHACPiIie8d38hrM1JBdc4wbN06yLYoijh8/XqE+iYiIAOCuRoVfcqRLpE32ki5RliNq8Y8qowqzIiKiysLClCzWtm1bo1h8fLwMmRARUXWzKjMGGoj6bVdBgbf8GqKNk6dkvwOcnZeIqFpgYUoWc3V1NYrl5hrPnEhERGSObJ0G67LiJLGxnnXg7+CEfm7+kvj+fBamRETVAQtTslhMTIxRLCiIi50TEVHFbMi6iyydRr8tAJjuHQ4A6OcWINn3YkEWUrSFVZkeERFVAk5+RBY7dOiQUaxhw4YW9xcZGYlTp04hPj4eWVlZ8Pb2hp+fHxo3bowuXbrAycmpIukSEZEd0Ig6fGOwRMyjboFo5OQOAOjm4gN3wQG5ohYAIAI4mJeKUZ61qzpVIiKyIhamZLH169dLtr28vNCjRw+L+vr4448xf/78Eu93cXFBnz598Nprr3FJGiKiauz33CTEalSS2Cs+9fT/7yQo0NPVF7vzUvSx/fksTImI7B2H8pJFdu/ejRMnTkhiI0aMgKOjo0X9aTSaUu9XqVT466+/MGjQIPTo0QPR0dEWHYeIiGyXKIpYnhEtiXVw9kJ3Fx9JzHA474G8VIiiCCIisl88Y0pmy87OxrRp0yQxR0dHzJ07t0qOf+LECXTo0AFbtmxB//79rdp3UlISkpOTzWoTGRlp1RyIiGqqk6oMnC3IksRe9qkHQRAksf6u0gmQErQFuFqYg5bO0hl7iYjIfrAwJbNNnTrV6IzlrFmz0KRJE7P7qlu3LoYMGYLevXujVatWqFOnDry8vJCbm4vExEScOHEC27dvx2+//Sb5NTw9PR3Dhw/HsWPH0Lp164o+JL1vvvmm1CHFRERUeZYbXFsaqnTBE+7Gk+o1dHRDmNIFMcWG/P6dn8rClIjIjrEwJbN8/vnn+OmnnySxNm3amF3MPfzwwxg7diweeeQRo1/CAcDb2xve3t5o0qQJxo0bh4sXL2Ls2LG4du2afp/s7GwMHz4cV69e5cRIRER27lZhLv7ITZLEXvIOh1IwvupIEAT0cwvA+mJLyuzPS5Fci0pERPaF15hSuf3666948803JTEvLy9s2bIFzs7OZvU1ceJEDBo0yGRRakrbtm3xzz//oH379pL4rVu3sHr1arOOTUREtuebzDsofpWol0KJ571CSty/n8Fw3hOqDOTptJWUHRERVTaeMaVyOXz4MMaOHQudTqePOTk5YevWrRYN4bWEh4cHduzYgaZNmyI/P18f/89//oMZM2ZY5RjTp0/HU089ZVabyMhIPPnkk1Y5PhFRTZSmLcSP2fcksfFedeGpKPlrSi9XPzhAgPZ/5WyBqMNxVToGGEyMRERE9oGFKZXp/PnzeOKJJ6BSPbiWR6FQ4IcffsDAgQOrNJfQ0FC89NJLWLJkiT4WFRWFmzdvWqVADgoKQlCQ8fVMRERUedZkxSFffPDDpxICpnqHldrGx8ERnVy8cUqVoY/tz0thYUpEZKc4lJdKdePGDQwaNAiZmZmS+LfffosxY8bIktOoUaOMYocOHZIhEyIiqiiVTotVmTGS2AiPWghRupTZ1nA474G8VKvmRkREVYeFKZUoOjoaAwYMMFo+ZfHixZgyZYpMWQFdunSBQiF96d69e1embIiIqCJ+zolHsrZQEpvhE16utv3dpIXpdXUu4orN1EtERPaDhSmZdO/ePfTv3x9xcXGS+DvvvIM5c+bIlNV9Dg4O8PeXfhkxd+1RIiKSnyiK+CZDukRML1c/tHX2Klf79s7e8DG4DvXvvBSr5UdERFWHhSkZSUlJwcCBA3H79m1J/JVXXsFHH30kU1ZSxdc0BVDu2X2JiMh27MtLwXV1riT2snf5zpYCgIMgoA+H8xIRVQssTEkiIyMDjzzyCK5evSqJT5gwAUuXLpUpKymNRoO0tDRJLDAwUKZsiIjIUl9lSs+WNnV0N3vyon4Gw3kP5KdCa/DjJRER2T4WpqSXm5uLxx9/HOfPn5fER48ejdWrV9vMWclTp05Jlq0BgNq1a8uUDRERWeJSQRYO50t/ZJzhEw6FmZ81/QwK2QydBucLMkvYm4iIbBULUwIAFBQUYNiwYThx4oQkPmTIEGzYsAEODg4yZWbs559/Nor17t1bhkyIiMhSyw2uLQ10cMJoD/N/ZKyrdEFTR3dJ7G8O5yUisjssTAkajQajR4/G/v37JfF+/fphy5YtcHR0lCkzY1FRUVi5cqUkVq9ePTRt2lSmjIiIyFx3NSpsy0mQxCZ7hcJFYdmPoIbDef/OZ2FKRGRvWJjWcDqdDuPGjcNvv/0miffo0QO//fYbXFzKXkfOHGq1GklJSRa1zczMxLBhw1BQUCCJz5o1yxqpERFRFVmVGQMNHlwH6iooMNE71OL+DNczPa3KRKZWbXF/RERU9ViY1nAzZszAjz/+KIl16NABf/zxB9zd3UtoZbnc3FzUr18fs2bNQmRkZLnbnT59Gp07d8bly5cl8QYNGmDq1KnWTpOIiCpJtk6DdVnSpcjGetaBv4OTxX0+5OoHZ+HBVxotRKPrV4mIyLYpy96FqtLZs2exZcuWcu+/b98+qFSmFxP39fXFm2++WWLb1atXY8WKFUbxDh06YNGiReXOobgGDRpgypQppe6Tl5eHL774Al988QU6dOiARx99FO3bt0fz5s3h5+cHT09P5OXlISEhASdPnsS2bduwe/duo368vb3x66+/wsnJ8i8zRERUtf6bdRdZOo1+WwAw3YwlYkxxUzigu4sPDhYrRv/OT8VQj+AK9UtERFWHhamNuXz5MhYvXlzu/Y8dO4Zjx46ZvC88PLzUwvTu3bsm49999125j2+od+/eZRamxZ07dw7nzp0z+zgBAQHYunUrWrdubXZbIiKSh0bU4VuDJWIecwtEI6eKj9Dp5+ovKUz356VAFEWbmVGeiIhKx6G8ZHcef/xxXLp0iTPxEhHZmd9zkxCrkY7yedmnnlX6Nlw2Jkajwm11nlX6JiKiysfClKqUl5cXtm3bhldeeQXt27cv9zDc2rVr48UXX8T58+exa9curltKRGRnRFHEVxnRklgHZy90d/GxSv8tnTxQy8FZEtvP2XmJiOyGIIqiWPZuRJVDrVbj5s2buHPnDu7evYvMzEyoVCq4uLjA19cX/v7+aNeuHerVqyd3qiW6cuUKWrVqpd+OiIhAy5YtZcyIiMj2HM9Px+P3Tkti64LbYLhHLasd46WkCPyUfU+/PcgtAJtrd7Ba/0RE1Z2c32t5jSnJytHRES1btmQhR0RUzS03OFsaqnTBUPcgqx6jn6u/pDA9mp+OQlEHJ4EDxIiIbB3fqYmIiKhSRRbm4s+8ZEnsJe9wKK1cMPZ180fxqY5yRS1OqTKsegwiIqocLEyJiIioUn2TeQfFrxvyUijxvFeI1Y8T4OCEts5ektjfebzOlIjIHrAwJSIiokqTqi3Ej8WG1wLAeK+68FRUztVE/Vz9Jdt/56VUynGIiMi6WJgSERFRpVmTGQuVqNNvKyFgqndYpR2vn5u0ML1YmI1kTUGlHY+IiKyDhSkRERFVCpVOi9VZsZLYCI9aCFG6VNoxu7j4wENwkMQO5KdV2vGIiMg6WJgSERFRpfg5Jx7J2kJJ7GWf8Eo9ppOgQE9XP0mMw3mJiGwfC1MiIiKyOp0o4uuMO5JYL1c/tDGYnKgy9DcYznsgPxVctp2IyLaxMCUiIiKr25eXghvqXEnsFe/KPVtapL9bgGQ7UVuIiMKcKjk2ERFZhoUpERERWd3yTOnZ0maO7hhgUDBWlvpKV4QrXSWxAxzOS0Rk01iYEhERkVVdLMjCYYMJh6b7hEMQhCo5viAIRsN59+dzPVMiIlvGwpSIiIisyvDa0kAHJ4z2qF2lOfQzODt7Ij8duTpNleZARETlx8KUiIiIrOauRoVtOQmS2GSvULgoHEpoUTkedvGFAx6coS2EiOP56VWaAxERlR8LUyIiIrKalZkx0ODBDLiuggITvUOrPA9vB0d0cfGWxDicl4jIdrEwJSIiIqvI1mmwPitOEnvGsw78HZxkycdwOO/feSxMiYhsFQtTIiIisor/Zt1FVrHrOAUA06toiRhT+rlKJ0C6qc5FrDpfpmyIiKg0LEyJiIiowjSiDt8aLBHzmFsgGjq5y5QR0M7ZC74KR0nsAIfzEhHZJBamREREVGG/5SYhVqOSxF72qSdPMv/jIAjoa7hsDIfzEhHZJBamREREVCGiKGJ5RrQk1tHZC91dfGTJp7i+BsN5D+anQiuKJexNRERyYWFKREREFXJClYFzBVmS2Ms+9SAIQgktqk4/gzOmmToNzhVkypQNERGVhIUpERERVchXBmdLQ5UuGOoeJE8yBkKULmjuKL3OlcN5iYhsDwtTIiIislhkYS7+ykuWxF7yDodSsJ2vGH0Nlo3hBEhERLbHdj41iIiIyO58k3kHxa/Y9FIo8bxXiGz5mNLfYDjvGVUmMrRqmbIhIiJTWJgSERGRRf7MTcL3WXclsQledeGpUMqUkWk9XHzhUuwMrhYiDuWnyZgREREZYmFKREREZjuWn4YJiZegLXa+VAkBU7zDZMzKNFeFA3q4+EpiHM5LRGRbWJgSERGRWS4VZGFswgWoRJ0k/ppvfYQoXWTKqnTG65mmQOSyMURENoOFKREREZXbrcJcjIw/hyydRhJ/1rMO3vZtKFNWZetvsJ5prEaFSHWeTNkQEZEhFqZERERULvc0KgyPP4tkbaEk/rhbIJYGtrCJdUtL0tzJA7UdnCWxvzmcl4jIZrAwJSIiojKla9UYee8sYjQqSfwhF1+sDW5jU8vDmCIIgtFw3r/zUmTKhoiIDNn2pwgRERHJLlenwej4c7imzpXE2zp54qfa7eGicJApM/MYDuc9kp+GAoPrZImISB4sTImIiKhEhaIOLyRcxOmCTEm8oaMbttbuAC8bWxqmNH3c/FF8sHGeqMMpVYZc6RARUTEsTImIiMgkrShiWlIE9htci1nHwRnba3dEoNK5hJa2yd/BCe2cvSQxDuclIrINLEyJiIjIiCiKeDPlOrblJEjivgpHbKvTEWGOrjJlVjGGw3n353ECJCIiW8DClIiIiIwsSr+F77JiJTF3wQFbardHMycPmbKquH5uAZLty4XZSNIUyJQNEREVYWFKREREEisy7uDT9NuSmCMEbKjVDp1cfORJyko6u3jDU5BO1nSAy8YQEcmOhSkRERHp/Zwdj7dSb0hiAoDVwa2NlluxR46CAg+7+kliHM5LRCQ/FqZEREQEANidm4zpSRFG8SUBzfGkRy0ZMqoc/Q2G8x7MT4VOFGXKhoiIABamREREBOBEfjrGJV6EBtIC7T2/RpjgHSpTVpWjn8GZ3yRtISIKs2XKhoiIABamRERENV5EQTbGJJyHStRJ4tO9wzHLp75MWVWe+o5uqK+Uzir8N4fzEhHJioUpERFRDRalzsPI+LPI0mkk8ac9auMj/yYQBEGmzCqX4XDevzkBEhGRrJRyJ2COrKwsnDlzBqdPn8bNmzcRHR2N2NhYZGdnIzc3FxqNBm5ubnB3d0dQUBDCw8NRv359tG3bFp07d0bTpk3lfghEREQ2I0FTgOH3ziJRWyiJP+oWiK+CWkJRTYtSAOjr5i9ZDudkfjpydRq4K+zqqxERUbVh8+++J06cwK5du/Dnn3/i4sWLEA0mJzDcVqlUSEtLQ2xsLM6dOye5z9vbGwMHDsTjjz+OwYMHIyBA+mspERFRTZGhVWNE/FlEa/Il8e4uPlgX3AaOQvUeVPWwqx+UEPTX1BZCxNH8dAxyD5Q5MyKimskmC9Pbt2/j+++/x4YNGxAdHQ3AuAAtUtoQI8M2GRkZ2Lp1K7Zu3QqlUolBgwZh3LhxGDZsGJRKm3wqiIiIrC5Pp8XTCedxtTBHEm/l5IlNtdrDVeFQQsvqw0uhRBcXHxxXpetjf+ensjAlIpKJTf0ceujQIQwbNgxNmjTBRx99hKioKIiiCFEUIQiCyRsA/T5FtyKm9i/aR61WY9euXRg9ejTCw8OxaNEipKWlyfXQiYiIqoRa1GF84kWcVGVI4g0c3bCtdgd4OzjKk5gMDGfn/TsvRaZMiIjIJgrTffv2oVu3bujXrx927twJnU5nVIwaFp+iKMLd3R2NGjVC27Zt0a1bN/Ts2RMdO3ZE8+bNERwcbLKdqaI2Pj4e7777LsLCwvDWW28hPT29jIyJiIjsj04UMT0pAnsMCrDaDs7YXrsjgpTOMmUmj/6u0sL0X3UeYtT5JexNRESVSdbxq2fPnsWcOXNw8OBBAJAUjkXbAODs7Izu3bujc+fOaNu2LVq3bo3w8HB4eXmV2r9Go0F8fDyuX7+Oixcv4uLFizhy5AhiYmL0+xQ/Vl5eHj777DOsXLkSr7/+Ol5//XU4O9esD2kiIqqeRFHEmynXsSUnQRL3USjxS+0OCHd0LaFl9dXW2Qv+Ckek6tT62IH8VIxzrCtjVkRENZMshWlaWhreeustrF271uhMZlExGhYWhpEjR2Lo0KHo3r27RQWiUqlEaGgoQkNDMXDgQH08KioK+/btwy+//IIDBw5Arb7/gVR0/MzMTLz//vtYs2YNli5diqFDh1rngRMREcnk0/TbWF1sFloAcBMU+Ll2B7Rw9pQpK3kpBAF93fyxtVixvj8vBeO8WJgSEVU1WYbyNm7cGGvWrIFOd38h76KC0N3dHZMnT8bJkycRHR2N//znP+jTp4/Vz1rWr18fkydPxl9//YXExESsWLECHTt21BfFRflER0fjySefxPLly616fCIioqq0OjMGi9JvSWKOEPDfWu3QxcVHnqRsRF+D4bwH89OgEXUyZUNEVHPJUpgWXcNZVAA2aNAA3377LeLj47Fy5Up06dKlynLx8fHBlClTcPr0aZw7dw7PPfccHBwc9PkB4KRIRERkt7Zmx2NOynVJTACwIqgV+rtx2TTDCZCydBqcK8iSKRsioppLtsmPRFFEixYt8NNPP+HGjRuYOnUq3N3d5UoHANCuXTv88MMPiIyMxPTp0+HoWHNmJiQioupnX14KpiVFwHDBtc8DmmOkZ21ZcrI1tZUuaOHkIYnt5+y8RERVTpbCNDQ0FOvWrcOlS5cwZswYKBQ2MTmwXlhYGJYvX45r165h7NixNpcfERFRWU6pMvB8wgVoDMrSt30bYqJ3qExZ2aZ+robLxqTKlAkRUc0ly+RHN2/etIvZbuvXr48NGzagoKBA7lSIiIjKLV6jwtPx55FvcK3kVO8wvOHbQKasbFd/twAsz7yj3z5bkIkMrRo+NWhNVyIiuclyKtAeitLi7C1fIiKq2Ral3UJ6sSVQAGC0R20s8m+qnz+BHuju4gMX4cFXIh2AQ/k8a0pEVJU4RpWIiKgaiSzMxcbse5LYQLcAfB3UEgoWpSa5KBzwkIuvJLafw3mJiKoUC1MiIqJq5OO0SGiLXVfqKijwVWBLOAr8yC9NP4MZiv/OT9UvI0dERJWPn1JERETVxIWCLGzPTZTEpnmHo5aSl6SUpb/BsjFxGhX+VefJlA0RUc3DwpSIiKia+DD1X8m2t0KJmT715EnGzjR1dEcdB2kBz2VjiIiqDgtTIiKiauBIfhr2G0zY86pPfc4sW06CIBgN5z3ACZCIiKoMC1MiIiI7J4oiFhicLQ12cMJU7zCZMrJPhsN5j+anocBgyR0iIqocLEyJiIjs3J95yThdkCmJveHbAG4KB5kysk+9Xf1QfN7iPFGHk/npsuVDRFSTKOU4qIOD8QelIAjQaDTl2rcylHR8IiIiW6YVRaNrS+spXfGCV12ZMrJffg5O6ODshbMFWfrYD9l30dvgTCoREVmfLGdMRVE0eTNn38q4ERER2ZstOfG4ps6VxN72awQnLg9jkUFugZLtX3IScIJnTYmIKp1sn1qCIOhv5uxbGTciIiJ7VCjqsDAtUhJr6eSBUR61ZMrI/k30DoW3Qjqg7M2U69DyB2wiokolW2FqzplKniklIiIytj4rDjEalST2nl9jKPijq8X8HZww17ehJHapMBsbs+/KlBERUc0gyzWm8+bNq5R9iYiIaopcnQafp9+WxLq6+GCQwZInZL6J3qFYnxWH68WGSC9I/RfD3IPhzeV3iIgqBQtTIiIiO7QiMwZJ2kJJbJ5fY16iYgWOggKLApphePxZfSxFp8Zn6bfxUUBTGTMjIqq+ODMCERGRnUnXqrE0I1oSG+gWgB6uvvIkVA31dfPHYwYTIa3IjMG/hbkltCAioopgYUpERGRnvsyIQpZOusTZe36NZMqm+vo4oCmciq1sqoGId1JvyJgREVH1xcKUiIjIjtzTqLAyM0YSG+lRC22cvWTKqPpq4OiG6T7hktievBTsyU2WKSMiouqLhSkREZEd+Sz9NlSiTr/tAAFvG8wiS9Yz27cBgh2cJLG3U2+gsNi/ARERVRwLUyIiIjtxqzAXP2RJly15wSsEDZ3cZcqo+vNUKDHPr7EkFqnOMzprTUREFVMjClO1Wo3r16/j1KlTuH37NrRardwpERERmW1h+i1o8WD9bRdBgTd8G8iYUc3wtGcddDQYKv1Z+m0kaQpkyoiIqPqp1oVpZGQkxo4dCz8/P7Rs2RI9evRA48aNERQUhOnTpyMpKUnuFImIiMrlUkEWfslJkMSmeoehjtJFpoxqDoUg4JOAZpJYlk6Dj9IiZcqIiKj6sfnC9O7du+jRo4f+1rdvX6hUqjLb7dmzBx06dMDPP/+M3NxciKKov6Wnp2PlypVo1aoVjh07VgWPgoiIqGI+NCiCvBRKvOpTX6Zsap7OLj4Y41FbEvtv9l1cKMiSKSMiourF5gvTrVu34uTJkzh16hROnTqFkJAQuLiU/utwdHQ0Ro8ejZycHIiiCEEQjG6iKCIlJQVPPPEEbtzg1O9ERGS7juenY29eiiT2fz714OvgKFNGNdMH/o3hLjjot0UAb6VchyiKJTciIqJysfnCdNeuXQCgf9OfMGFCmW3eeOMNZGVl6YvQovZFNwD6eHp6OqZOnVoZqRMREVWYKIpYkPavJBbk4IRp3mEyZVRz1Va6YLav9Cz1SVWG0RBrIiIyn00XpqIo4p9//tEXke7u7ujVq1epbW7evIlt27ZJClIPDw+8+uqrWLFiBebNm4ewsDD9mVQAOHLkCP7444/KfTBEREQW2J2XgpOqDEnsdd8G8FAo5UmohpvuHY56SldJbF7qTeTqNDJlRERUPdh0YXrr1i1kZd2/dkMQBHTv3h2OjqUPW9q4caP+rKgoivD19cXp06exZMkSTJkyBfPmzcPFixfRqVMnSbvvv/++ch4EERGRhXSiiA8NzpaGKV0w3quuTBmRi8IBHwU0lcTuaguwNCNanoSIiKoJmy5Mo6KiJNutWrUqs83WrVv115AKgoC5c+eiSZMmkn28vLywbt06ANDvu2vXLuh0XCybiIhsxy85CbhSmCOJve3XCE6CTX98V3uD3QLR29VPEluWEY0Ydb5MGRER2T+b/mSLjY0F8OD60kaNGpW6f1JSEq5du6bfViqVmDhxosl9W7ZsiYceekjfd35+Pq5fv26NtImIiCqsUNThY4OZeJs7uuMpg5lhqeoJgoBF/k3hAEEfU4k6vJ96U8asiIjsm00XpkXDeIt4eXmVsOd9hw8f1v+/IAjo2bMnfH19S9z/4YcflmxfuXLFgiyJiIis779ZdxGtkZ6Be8+/MRwEoYQWVJVaOHviRYMh1b/mJuJIfppMGRER2TebLkzz8vIk225ubqXuf+rUKQAPzrAOGjSo1P0Nz8CmpKSUsCcREVHVydVp8Gn6LUmsi7M3HnMLlCkjMuVtv0bwVUjnvngr5Tq0XD6GiMhsNl2YOjg4SLZVKlWp+588eVKy3bNnz1L3LzoDWzQ7b3Z2trkpEhERWd2qzFgkagslsff9G+s/r8g2+Do44h2/hpLYlcIc/JAVJ1NGRET2y6YLU8Ohu4mJiSXuq1KpcPr0af2HtpOTEzp37lxq/xqNdGp3Tn5ERERyy9Cq8WWGdPK//q7+6Gkw2Q7ZhvFeddHCyUMS+zAtEhlatUwZERHZJ5suTAMD7w9ZKio2r169WuK+f//9NwoLC/X7t2vXrsylZTIyMgA8GPrr7u5e0ZSJiIgqZGlGNDIN1sR8z7+xTNlQWZSCAov8pcvHpOnU+MRgKDYREZXOpgvT1q1b6/9fFEXs2bOnxH1//vln/X4A0KtXrzL7NzwD6+fHX6OJiEg+CZoCrMi8I4kNdw9GO+fSJ/8jefV288dQ9yBJbHVmLK4bLPVDREQls+nCtHHjxvD29tZvx8bG4ocffjDaLy4uDj///LPk2psBAwaU2f/Fixcl2/Xq1bM8WSIiogr6LP0W8sUHl5U4QMA7fqUvlUa24UP/JnAutr6sFiLmptzQ/2BORESls+nCVKFQYOTIkRBFEYIgQBRFzJgxAxs2bNBfD3r79m2MGDFCMjFSQEAA+vfvX2b/58+flxSzZa2TSkREVFmi1Hn4PuuuJPacZx00cuJlJvagnqMbXvEOl8QO5Kfiz7xkmTIiIrIvNl2YAsD06dOhUNxPUxAE5ObmYty4cfDy8kJISAiaNGmCs2fP6gtXQRAwefJkfZuS3LhxA9HR0frtkJAQBAcHV+ZDISIiKtGitFvQ4MHZNWdBgTkGM76SbXvNtz7qODhLYu+k3ECByMkViYjKYvOFaYcOHTBx4kT9UJiiAjQvLw/x8fHQ6XSSYTIBAQF4/fXXy+x327Zt+v8XBAHdu3e3fvJERETlEFGQjS058ZLYZK9QhChdZMqILOGuUOID/yaSWJQmHysy7pTQgoiIith8YQoAX331Ffr16ycpTg1voijC2dkZP/30E3x8fMrs88cff9S3A4C+fftW5kMgIiIq0Ydp/6L4lYheCiVm+daXLR+y3FMetdDF2VsS+yz9NhI0BTJlRERkH+yiMHVycsKff/6JefPmwd3dHaIoGt3at2+PgwcPol+/fmX2t2/fPly5ckUSGzx4cGWlT0REVKKT+enYnZciib3sHQ4/ByeZMqKKEAQBiwOaSWI5ohYL0v6VKSMiIvuglDuB8nJ0dMS8efPw1ltvYf/+/bh9+zays7Ph7++Prl27om3btuXuKyIiAsOGDdNv16pVC6GhoZWRNhERUYlEUcR8g4IlQOGIl3zCS2hB9qC9izee9ayDjdn39LEfs+9holcoOrp4l9KSiKjmspvCtIizszMef/zxCvXx6quv4tVXX7VOQkRERBbal5eCE6oMSex13wbwVNjdxzMZeN+vMX7LSUS2qNXH3ky5jj0hXaAotiIAERHdZxdDeYmIiKobnShiflqkJBaqdMEEb47gqQ6Clc54w7eBJHamINNokisiIrqPhSkREZEMtuckIKIwWxKb69sQzgI/mquLqT7haODoJol9kPovcnQamTIiIrJd/PQjIiKqYmpRh4/Tb0lizRzdMcazjkwZUWVwFhRY6N9UEovXFuCL9CiZMiIisl0sTImIiKrYhqy7uK3Ok8Te8WsEB157WO0McgtAf1d/SWx55h1EG/z7ExHVdHY9u4JarcY///yDkydP4uzZs0hKSkJGRgays7Ph6ekJHx8fBAUFoWPHjujWrRu6dOkCR0dHudMmIqIaLF+nxafptyWxjs5eGOIeJFNGVJkEQcDCgKZ4KPYENP9brbZA1OHd1JvYUKudvMkREdkQuyxMo6Ki8O2332LdunVIS0uT3CeKD5YoF/73y/PmzZsBAH5+fnjxxRcxbdo01K/PhcuJiKjqrc6MQby2QBJ736+x/jOLqp+mTh6Y7B2KbzNj9LGduUk4lJeK3m7+pbQkIqo57Goor1arxYcffojmzZvjP//5D1JTUyGKouQmCIL+ZnhfamoqPv/8czRv3hwfffQRtFpt2QclIiKyklRtIZZkSK8v7Ovqz+KkBnjTtyH8FdJRW2+lXIdG1MmUERGRbbGbwjQ9PR3du3fHBx98gMLCQqMitOhWnKn7RVFEYWEh5s2bhx49eiA9PV2mR0RERDWFKIr4JTsePWKPI8NgRtb3/RrJlBVVJR8HR7zn31gSu6bOxbqsOJkyIiKyLXZRmKampqJfv344c+aMpCAFIDkj6ujoCH9/f4SFhcHf3x+Ojo6S+wFICtTTp0+jf//+RsOBiYiIrOVWYS5GxJ/DxKTLSNQWSu57wj0I7V28ZcqMqtrzniFo7eQpiX2cFok0g9cFEVFNZBeF6aRJk3Dx4kWjgtTFxQVjx47Fli1bcOvWLahUKiQlJSEqKgpJSUlQqVS4ffs2tmzZgrFjx8LV1VVSoALAxYsXMWnSJNkeGxERVU8Fog6L026hR9wJHMhPNbo/0MEJC/ybyJAZycVBEPBJgHT5mAydBovSbpXQgoio5rD5wvTXX3/Fjh07JMN0RVHE+PHjER0djY0bN2LkyJElTmZUr149jBw5Ehs3bkR0dDQmTJggKU5FUcSOHTuwY8eOKnk8RERU/R3KS8VDscexKP0WCkxcQzjILQD7QrqinqObDNmRnB5y9cNw92BJbE1WLK4UZMuUERGRbbD5wvSLL77Q/78oilAoFPj222+xdu1aBAYGmtVXQEAA1qxZg5UrVxoVukuWLLFazkREVDMlagowOfEShsWfRaSJdSpDHJzx3+C22FSrPcIdXWXIkGzBAv8mcBEefAXTAfgg7V/5EiIisgE2XZjGx8fj2LFj+jObgiBgzpw5mDp1aoX6nTx5Mt588019nwBw7NgxxMfHWyNtIiKqYbSiiDWZsegcewxbchKM7neAgBne4TgZ9hCGegRzaZgaLtTRFTN96klie/NScLEgS56EiIhsgE0XpqdPn4ZO92AIVGBgIObNm2eVvufNm4egoAeLmYuiiH/++ccqfRMRUc1xsSALj9w9hdkp15BlMOMuAHRy9saBul3xcUBTeCrscvlwqgQzfeojwGD5mKUZ0fIkQ0RkA2y6ML13757+/wVBwIgRI+Dk5GSVvp2cnDBixAj99aYAeMaUiIjKLUunwVsp19E37iTOmjjT5a1Q4ouA5tgT0gVtnL1kyJBsmZvCAdN8wiWxX3MScNvEEHAioprApgvTomVciorH1q1bW7X/Nm3aAHgwQy+XjSEiorKIoogdOQnoGnMMKzJjYDy1ETDGozZOhz6ECd6hUHDYLpVgklcoPAQH/bYOwDKeNSWiGsqmC1N3d3fJdkBAgFX79/f3L/V4RERExUWr8zA64TzGJV5CvLbA6P7Gjm7YUbsjVga3RpDSWYYMyZ74ODjiRe9QSezHrLtI0Bi/toiIqjubLkwNl4BJSUmxav+pqffXlSs6I1uvXj2r9k9ERNVDoajDf9Jvo1vscezNM/4schYUeMevEY6G9kBvN38TPRCZ9pJ3GJzw4Kx6IUR8k3lHxoyIiORh04Vp586dATwYanvp0iWr9m/YX9HxiIiIihzNT8PDsSfwYVokVCbWJO3n6o8ToT3whm8DOAs2/bFKNqi20gXPeIVIYmszY5GhVcuUERGRPGz6E7R27dro3r07gPtnNbdt24bCwkKr9F1YWIhffvkFgiBAEAR07twZderUsUrfRERk/1K0hXgpKQJD7p3BDXWu0f21HJyxLrgNfqndAQ0c3WTIkKqL//OpJ/lCliNqsSYrVrZ8iIjkYNOFKQC88cYb+vVGU1JSMH/+fKv0u2DBAiQnJ+uH8c6ZM8cq/RIRkX3TiSJ+yIpDp5ij+Cn7ntH9CgBTvMNwKrQHhnvU4pqkVGENHN0wzD1YEvs24w7ydFqZMiIiqno2X5g++eSTGD58uL6A/PTTT7F69eoK9blmzRp88skn+rOlw4YNw4gRI6yRLhER2bGIgmw8evcf/F/yVWSYWJO0nbMX9od0xacBzeDt4GiiByLLvOprMK+GTo2N2XdlyoaIqOrZfGEKABs2bEDPnj0hiiK0Wi2mTZuGSZMmmT0ZUmpqKiZPnowpU6ZAp9NBFEU89NBD2LBhQyVlTkRE9qBA1OG9lBvoHXcS/xRkGt3vpVDis4Bm2B/SFe1dvGXIkKq7ts5e6O8qnThrWUY01CauayYiqo7sojB1dXXFvn37MGPGDAiCAFEUsW7dOtSrVw/PPvsstmzZgtu3b5tsGxUVha1bt+K5555DeHg41q5dC1EUoVAoMGPGDOzfvx9ubrw2iIiophJFEdMSL+OrzDvQQjS6f6RHLfwT+hAme4fBgcN2qRK9ZnDWNFajwracBJmyISKqWkq5EyhLgwYNJNtOTk4oLCyEKIrIy8vDpk2bsGnTJgCAUqmEp6cn3N3dkZubi+zsbGg0D4ZiFQ0HFgQBTk5O2LVrF3bt2mVWPoIg4NatWxV8VEREZCu25yZie26iUby+0hX/CWyOfm7WXUObqCQPufiis7M3Thc7a/9lehSe8qgNBX8UIaJqzuYL0+joaP1Z0qIJJgz/v4harUZaWhrS0tJM9lW8TUFBAe7cuSNpXx6c5IKIqPpI0RbijeRrkpgTBLzqWx+v+dSHq8JBpsyoJhKE+6+9ZxMu6GPX1LnYnZeMx9yD5EuMiKgK2MVQXkBaEBr+f3lv1mpPRETVw5yU60jVSdeLXBXcGm/7NWJRSrJ4zC0QzRzdJbEv0qPM/iGdiMje2EVhKoqiTdyIiKj6+D0n0ej6vSfcg/CkRy2ZMiICFIKAmQbXmv5TkInjqnSZMiIiqho2P5R33LhxcqdARETVTLpWjdkp0iG8vgpHfBbQXKaMiB4Y5VELH6dFIk6j0se+zIjGQ65+MmZFRFS5bL4wXbdundwpEBFRNTM35TqStIWS2CcBTRGsdJYpI6IHHAUFXvGphzdTrutje/NScLkgG62dPWXMjIio8tjFUF4iIiJr2Z2bjE058ZLYILcAjPaoLVNGRMae9wyBv8JREvsyI0qmbIiIKh8LUyIiqjEytWq8lnxVEvNSKPFFYAtOckc2xU3hgGk+4ZLY9pwERKnzZMqIiKhysTAlIqIa4/3Um7inLZDEPvJvgjpKF5kyIirZZK9QeAgPZofWAViWES1bPkRElYmFKRER1QgH81LxffZdSayvqz+e9wyRKSOi0vk4OGKCV11JbGPWXSRoCkpoQURkv1iYEhFRtZej0+CV5CuSmIfggKUcwks2brpPOJzw4DVaCBErMu/ImBERUeVgYUpERNXe/NR/EVts6Q0A+MC/McIcXWXKiKh8aitd8LRnHUlsTWYsMrRqmTIiIqocLEyJiKhaO5afhtVZsZLYQy6+eNErVKaMiMwz06ceip/Xzxa1WGvwmiYisneyFKZjx47FnTu2PwxFFEWsXbsW3333ndypEBGRBfJ0WrxiMAuvq6DAV0EtoeAQXrITDZ3cMcw9WBL7NjMG+TqtTBkREVmfLIXp5s2b0axZM8yePRtJSUlypFCm3377DW3btsXkyZNx7949udMhIiILfJwWidsGy2u859cYDRzdZMqIyDKv+taXbCdrC7HRYDIvIiJ7JttQ3sLCQnz55ZeoV68eXn75ZZs4g6rVarFx40a0adMGw4cPR0REhNwpERGRhU6rMvCNwSQxXZy9MdU7TKaMiCzXztkL/Vz9JbFlGdHQiDqZMiIisi7ZrzFVqVT49ttv0ahRIwwbNgx//PEHRFGs0hxiYmLw3nvvISwsDC+88AIiIiIgiqJ+pkbO2EhEZF9UOi1eTrqC4p8mzoICy4NawYHv6WSnDM+axmhU2JaTKFM2RETWJUthunv3bjRu3FhS/Gm1WuzcuRNDhw5F3bp18corr+DQoUOVVqTGxcVh6dKl6NWrFxo0aICFCxciPj5ekpNCocDLL7+MmTNnVkoORERUOT5Nv40b6lxJbK5vQzRxcpcpI6KKe9jFF52cvSWxLzOiqvwHfSKiyiCIMr2bqdVq/Oc//8GiRYuQnZ2tLwaL0ina9vLyQs+ePdGnTx906tQJbdq0ga+vr1nH0mq1uH79Oi5evIgjR47gwIED+Pfff/X3Fz9m0f/36tULy5YtQ5s2bSr8WKl6u3LlClq1aqXfjoiIQMuWLWXMiKhmu1CQhf5xp6Atdr60nbMX9oV0gVKQfaAQUYXszE3CcwkXJLFNtdrjUfdAeRIiompFzu+1shWmRdLS0rBw4UJ88803UKlURgUqYDyUtlatWggPD0dISAhq1aoFd3d3uLq6wsHBASqVCvn5+UhLS0NcXBzi4uIQFRUFtfrBel+m+i6KdejQAR999BEeffTRSnvMVL2wMCWyHYWiDn3jTuJKYY4+5ggBB+t2Q0tnTxkzI7IOnSiie+xxyYiAbi4++Cuki4xZEVF1Ief3WmWVHKUUfn5++PzzzzF79mx8+eWXWL16NTIyMiTFqGHtHB8fj4SEhHL1b6ruNtV3r169MHv2bAwdOtSSh0FERDZgSXqUpCgFgNd9G7AopWpDIQiY6VMP05Ov6GMnVRk4kZ+O7q7mjSgjIrIlNjOmqXbt2li8eDFiY2Px1VdfoX379hBFUTLMtvgNgP7+0m6G7YqG64qiCE9PT0ycOBGnT5/GwYMHWZQSkd27o87H7txk5NXA9Q0jCrLxefptSaylkwdeM5gwhsjejfKsjbpKF0nsi4wombIhIrIOmylMi7i7u2PGjBk4c+YMIiIi8O6776J9+/YApIUoYFysllaEFt18fX0xduxYbN68GYmJiVi9ejU6duwo50MmIqqwLJ0Gs5Kvom3MEYxJOI/Wdw7j77wUudOqMhpRh5eTr0BT7LpSBwj4OqgVnHhdKVUzToICL3uHS2J78lIQUZAtU0ZERBUn+1De0rRo0QILFizAggULkJiYiMOHD+P06dM4c+YMbt68qZ9FtySenp6oX78+2rRpg86dO6Nbt27o1KkTl38homplb24yXku5hjiNSh9L1akxMv4c5vg2wBzfhtV+iZSvMu7gQkGWJPaqTz20c/aSKSOiyvW8Vwg+Tb+NNN2DOTS+zIjCd8GctJGI7JNNF6bFBQcH46mnnsJTTz2lj6nVaty9exdZWVnIy8uDVquFq6sr3N3dERQUZPbsvURE9iRdq8bclOvYlBNv8n4RwOL02zilysDqoNYIVDpXbYJV5EZhDj5JvyWJNXV0xxu+DWTKiKjyuSuUmOYdhoXFXvvbchLwrl8j1HN0kzEzIiLL2E1haoqjoyPq1asndxpERFVuR04i3ki5hiRtYZn7HsxPQ6+4k1gb3KbaTY6iFUW8nHQFBaJOH1MAWB7UEi4KB/kSI6oCk73DsDQjGrni/WvKdQC+yojGfwJbyJsYEZEFeOENEZEdSdIUYFzCRYxLvGiyKO3t6oe5vg3hAOnQ3XhtAYbcO4OvMqJLvQTC3qzIjMHpgkxJbLp3ODq7+MiTEFEV8nVwxHivupLYhux7SNQUyJQREZHlWJgSEdkBURSxKfseusYex47cRKP7vRRKLAtsgV9rd8Sbfg2xs04n1HaQDt3VQsR7qTfxbMIFZGjVRn3Ym9vqPHyU9q8k1sDRDW/7NZIpI6KqN8MnHI7FfogqEHVYkRkjY0ZERJZhYUpEZOPiNCqMTjiPaUkRSNcZF5SPugXiZGgPvOBVVz+5W3dXXxyu2w19XP2M9v8jLxm9404aTRZkT3T/G8KbX2wILwAsD2wJNw7hpRqkjtIFT3vWkcTWZMUisxr8+ERENYtdX2NKlSMpKQmXL19GVFQU0tPTodFo4Ovri8DAQHTo0AH161femoAFBQU4efIkrl+/jrS0NAiCgMDAQLRs2RKdO3eGgwO/cFLNoRNFfJ8Vh/dTbyJbNF6X1E/hiE8DmmGkRy2Ts40HKp3xS+2O+DT9Fj5Nv43iA3jvaPLxSNwpfBLQDBOKFbT2Ym1WLI6r0iWxyV6h6FHNrqElKo+ZPvWwIfuu/m88S6fB2qw4ruFLRHaFhakNS01NxZkzZ3D69Gn8888/OH36NBISEiT7zJs3Dx988EGFjpORkYFdu3Zh37592L9/P2JjY0vdv3bt2njhhRcwY8YMhIaGVujYRaKjo/Hxxx/jp59+Qm5ursl9fH19MWHCBMydOxcBAQFWOS6RrYpS5+GVpCs4alB8FRnhUQuL/ZuWOdOugyBgrl8jdHXxweTEy0gtdsa1ECJmpVzDCVU6vghsAQ+FfXwk3FHnY16qdAhvmNIF8/wby5QRkbwaObnjCfdgyTD/bzPvYJp3GFw5goCI7ASH8tqYJUuWYOzYsWjYsCECAgLw6KOP4r333sPvv/9uVJRW1O3btzF06FAEBwfjueeew/r168ssSgEgPj4eixcvRsOGDfHJJ59Ap9OV2aY0a9asQYsWLfDdd9+VWJQCQHp6OpYsWYKmTZvijz/+qNAxiWyVVhTxdcYd9Ig9brIoDXZwwoZa7bA2uI1Zy7/0cwvA4dDu6GpiUqAtOQnoH3cK1wtzKpJ6lRBFEa8mX9XPQlrkq8CWdlNYE1UGw7OjSdpC/Jh9T6ZsiIjMx8LUxsyePRubNm3C7du3K/1YN2/exM6dO1FYWPZyE6ao1WrMnTsXTz75JDQajUV9fPbZZ5g0aRLy8/PL3SYtLQ1Dhw7F5s2bLTomka26XpiDR+/+g3dSbxhdOwkAz3rWwanQhzDEPcii/kOULthZpxNe9g43uu+GOhf94k5is41/kf1v9l0cyE+VxMZ5hqC3m79MGRHZhnbOXujrKv07WJYRDY2J9xIiIlvEwpQkQkJCMGHCBHz//fe4cOEC7t27h8zMTNy6dQs//vgjBg0aZNTm999/x8SJE80+1s6dO/Hmm29KYk5OTpg0aRKOHj2KxMRExMbGYu/evRg1apTkGjidTodx48bh3Llz5j9IIhujFnX4LP02esWeMFr6BABClS7YVrsDvg5qBR8Hxwody1FQ4KOApthQqx28DM4w5ok6TE2KwKvJV6HSGV/TKre7GhXeTb0piYU4OGOBfxOZMiKyLa/61JNs39HkY3uO8SzeRES2iOOebJyHhwc6duyIzp07o3PnzhgzZozVjyEIAoYOHYopU6bg0UcfNTnBkJeXFxo0aICxY8dix44deP7555Gdna2//4cffsCzzz6LRx55pFzHVKlUmDZtmmQ9RW9vb+zYsQO9e/eW7Fu3bl0MGDAAmzZtwrhx4/RneAsKCjB16lScPn3akodNZBMuFmTh5aQruFyYbfL+yV6heN+/MTytPEx1iHsQWtbthnEJF3HJ4Njrs+JwTpWJ72u1RX1HN6se11KiKOK15KvI0klHZ3wR2ALeFSzWiaqLXq5+6OjshbPFZtz+IiMKo0qYII2IyJbwjKmN6dKlC2bMmIH169fjypUryMzMxMGDB/HZZ59h9OjRVj2WIAh49NFHcfbsWezYsQODBw8u16y3w4YNw7Zt26BQSF8+7733XrmP/c033+Du3buS2Pfff29UlBb39NNPY/HixZLYmTNnsH379nIfl6g4jajDGVUGTuanI06jqtIhbyqdFh+m/ot+cadMFqUNHd3wR53O+CywudWL0iL1Hd2wJ6QLJnjVNbrvUmE2esedxM7cpEo5trl+zonHnrwUSexpj9p4xD1QpoyIbI8gCHjVR3qt6dXCHOw1+NshIrJFglj8lBXZPMNfPCsyK69Wq63Q8ivjx4/H999/L8ktLi4OderUKaXV/WtTQ0JCkJycrI8NGzYMv/76a5nH1Ol06NSpE86fP6+PtWvXTrJd1a5cuYJWrVrptyMiItCyZUvZ8qHyydVpMDr+PI4Vm2DIAQLqKJ1RV+mCUKUr6ipdpDdHV6Phr5b4R5WBl5Ou4KbaeLIvBYBXfOrhLd+GVTqb5ubse3gt+SryTBTnL3uHY55/YzgK8vyWmagpQNfYY8godrY02MEJJ0Mfgi/PlhJJ6EQR3WKPS95furv44M+QLjJmRUT2Qs7vtRzKW4NVdE3QcePGSQpTURRx/PhxjBo1qtR2Bw4ckBSlADBz5sxyHVOhUGDGjBmYNGmSPnbhwgVERkaiUaNGZmRPNZlOFPFSUoSkKAUALUTEalSI1ahwAhkm23oplP8rXIsKVmkBW1vpDGUJBVyuToMP0yKxMjMGpn4RbOHkga8DW6K9i3cFH6H5xnjWQVtnL4xLuIgbBgXz8sw7OFOQiTXBbRCidKnSvERRxOyUa5KiFAD+E9iCRSmRCQpBwEyfepiRfEUfO6HKwIn8dHTnOr9EZMNYmJLF2rZtaxSLj48vs92OHTsk22FhYejTp0+5j/v000/j5ZdfhkqlkvQ5e/bscvdBNdui9Fv4zcIhqlk6Da4W5uBqCUurKADUMTzTqnSBq+CAT9Nv447GeAZqRwiY7dsAs3zrw0mms5IA0MzJA/vrdsVryVexJUe6PNVJVQZ6xZ7Ad8Ft0LcSZ8DViSIStQWI0agQo87H+YIso+HEIzxqWTwzMVFN8JRnbSxMi8RdbYE+9mVGFAtTIrJpLEzJYq6urkax0tYhLfLnn39Ktnv37m3WpAzu7u7o1KkTjh49qo/t2rWLhSmVy7acBHyWXnnLMekAxGlUiNOoytwXADo4e2F5YEu0cPastJzM4aFQYlVQa3R38cVbKddRWOzcbqpOjRHxZzHHtwHm+DaEgwWTqehEEQnaAsSo8+8Xn5p8xKjzEfu//49V50uOachf4YhPA5pZ9NiIagonQYGXfephbuoNfWx3XgoiCrLRykbea4iIDLEwJYvFxMQYxYKCSj+LkZOTg6ioKEnsoYceMvvYDz30kKQwvXz5stl9UM1zTpWJ6UkRkpgDBGyt3QGtnT0Rp1EhVp2vLyzv3+5vJ2otW++3JC6CAu/4NcJL3mElDv2ViyAIeNE7FB1cvDEu4aLkLK8IYHH6bZxSZWB1UGsEKp0lbbWiiPj/FZ6xmnz9mc+iAjROo4K6lMKzLJ8FNkeAg5PF7Ylqihe8QvBp+m2k69T62NKMKKwObiNjVkREJWNhShY7dOiQUaxhw4altrl+/bpRrHnz5mYf27BNSkoK0tLS4OfnZ3ZfVDPc06jwTMIFqAwm91kU0FQ/NDXAwQntnL1Mti8Qdbj3v+tP44yK1/sFrKmJg0zp7uKD5YEt0dDJvWIPqpK1c/bCobrdMD0pAn/kSa8LP5ifhl5xJ/GcVwjiNQWSwlNTgcKzNCM8amG4e3Cl9E1U3bgrlJjqHYZP0m/pY7/kJOAdv0aoZyPLQBERFcfClCy2fv16ybaXlxd69OhRaptr164ZxcLCwsw+dmhoqMm+LTn7StVfvk6LZxMuIKHY9VYA8KJXXUz2Mn4tmeIsKFDf0e3+up7Go9ghiiLSder7hWvRzaCAdfnf8LoJXnWhsJM1BX0cHLGxVjssz7yDD1L/hbZY0RmvLai0YdHOggKh/5sdOUzpgg4u3hjrWYdrMRKZYYp3KL7KiEauqAVw/1KD5Rl38Hmg+T8IExFVNhamZJHdu3fjxIkTktiIESPg6Fj6LJn37t2TbAuCgJCQELOPb6qYNVwXlQi4XzC+nHwF54stOA8AD7v4YnFAM6sVOoIgwM/BCX4OTmhbwllXeyUIAl7xqYdOzt54MfES4g0KfEs4CwqEKV0QpnRFmKMrwpSuCFW66P8/yMHJbop3Ilvl5+CEcV518U3mHX3s+6w4POcVUuLoECIiubAwJbNlZ2dj2rRpkpijoyPmzp1bZtucHOlMpq6urmUWs6Z4eRl/oBr2bYmkpCSjpWzKEhkZWeHjUuX5PCMKvxjMMFtf6Yrva7WVbV1Oe9Xd1ReH63bD5KTLOJifVuq+roLCqNi8/9/7Z0EDWXgSVYkZPuFYnRmjv7ZbDREvJl7Cobrd4GmFdZmJiKyF70hktqlTpyI6OloSmzVrFpo0aVJmW1OFqSVMtbNGYfrNN99g/vz5Fe6HbMOOnER8nCb94cBLocSm2u3hxwl0LBKodMYvtTtiRWYMduYmwlOhNC5AlS4IcHDisFsiGxCidMH/+dTDfzIeTDx4W52HN5KvYUVwaxkzIyKSYmFKZvn888/x008/SWJt2rQpdzFnuJyMi4uLRXlUVmFK1cfFgiy8lCSdrVkBYE1QazR18pAnqWrCQRAwwyccM3zC5U6FiMrhLb+GOJSfhjMFmfrYppx49HXzxxjPOjJmRkT0gN2OY0tJScF///tfTJw4ER06dEBYWBjc3d3h4OAApZL1dmX49ddf8eabb0piXl5e2LJlC5ydnUtoRVT1EjUFeDbhgtEsuR/6N8VA90CZsiIikoejoMB3wa3hZTB0d3byNUSp82TKiohIyu4quHv37mHhwoVYt24dVKr7C9iLonlLEzz77LP4/fff9dszZszAokWLrJpndXP48GGMHTsWOt2DL/pOTk7YunVruYbwFnF3ly6PUfRvaK78/HyjmIdHxc+CTZ8+HU899ZRZbSIjI/Hkk09W+NhkHSqdFs8lXECcRvraes4zBNO9zZ8BmoioOqjn6IYlAc0xqdhIkhxRixcTL2F3SBc48Zp7IpKZXRWmf/75J55//nmkp6dLitHi1zGVp0idMWOGZDjq+vXr8fHHH0Oh4JuyKefPn8cTTzwhKSIVCgV++OEHDBw40Ky+DItHUwVmeVRWYRoUFISgoKAK90PyEEURM5Ov4nSx4WrA/XVDlwQ25zWPRFSjjfKsjQP5qdiY/WCG/PMFWfgoLRIL/Mv/IzMRUWWwm0ps3bp1GDp0KNLS0iCKIgRB0H/JFEXRrLOmPXr0QNeuXfXtk5KSsHfv3krJ297duHEDgwYNQmam9Iv+t99+izFjxpjdn6nCVKPRmN1PVlaWUcwahSnZt6UZ0dicEy+JhSld8N9a7Xg2gIgIwKcBzdDY0U0SW5YRjf15KTJlRER0n118Uzt8+DCmTZsGnU6nL0hFUYSHhweeeOIJzJw5E8HBwWb1OXbsWH2BCwB//fVXZaRu16KjozFgwACj5VMWL16MKVOmWNRnnTrSSRZEUURcXJzZ/cTGxpbZN9Usf+QmYX7av5KYh+CAn2q1RwBn4CUiAgC4K5RYE9wGTpCOIJmWFIEkTcXXKCYispTNF6YajQYTJkyAWq3WF6RKpRIfffQREhMT8euvv+KLL75ArVq1zOp35MiRkjOu+/btq4z07da9e/fQv39/o6LxnXfewZw5cyzut1mzZkaxmJgYs/sx1aZ58+YW5UT270pBNqYkXkbxcRMCgFXBrdHS2VOutIiIbFIbZy+jobvJ2kK8lBQBnZnzdhARWYvNF6Zr165FVFSUvih1cnLCzp078fbbb1u81AgAhISEoHHjxvrtq1evIi+PM9MB92c8HjhwIG7fvi2Jv/LKK/joo48q1LepwvTatWtm93P9+nXJdkBAAPz9/S3Oi+xXirYQTyecR46olcTn+TXG4+68XpiIyJSp3mEY5BYgie3PT8XXmXdkyoiIajqbL0y/++47ANAPu12wYIHZE+6UpGPHjpJrUw2LnZooIyMDjzzyCK5evSqJT5gwAUuXLq1w/56enqhfv74kdvz4cbP7OXr0qGS7dWsuEl4TFYo6PJ9wAbEGM/CO8aiNmT715EmKiMgOCIKAr4NaoZaDdLm3+an/4pwqs4RWRESVx6YL0/T0dJw7d04/5DYwMBAzZ860Wv+tWrWSbP/7778l7Fkz5Obm4vHHH8f58+cl8dGjR2P16tVWm9H0sccek2wfOnTIrPZ5eXk4c+aMJDZ48OAK50X2RRRFzEq+hhOqDEm8s7M3lga24Ay8RERlCHBwwsqgVpKrTTUQMTHxErJ15k9MSERUETZdmJ48eVK/bqYgCHj88cfh7OxcRqvyMxz6mZ6ebrW+7U1BQQGGDRuGEydOSOJDhgzBhg0b4ODgYLVjDRs2TLJ9584dHDx4sNztN2/ebLT+qWGfVP19kxmDDdl3JbG6ShdsqNUOLgrrvV6JiKqz3m7+mOUjHckUpcnH7GTzL7MhIqoImy5MExMTATxYm7Rz585W7d/HxwfAg3VQs7Ozrdq/vdBoNBg9ejT2798viffr1w9btmyBo6OjVY/Xt29fBAYGSmLLli0rV1udToevv/5aEmvXrh0aNWpktfzI9u3NTcZ7qTckMTdBgY212iFYab0fr4iIaoK3/Bqis7O3JPZzTjw2FVvvlIiostl0YWq4TElAQEAJe1qm6GxsSds1gU6nw7hx4/Dbb79J4j169MBvv/1WoQmmSuLo6Ig333xTEtu+fTt27txZZtvly5fj7Nmzktj7779v1fzItl0vzMHEpMsw/GtdEdQabZ29ZMmJiMieOQoKfBfcBl4KpSQ+O/kabhXmypQVEdU0Nl2YKhTS9DQa617vkJqaCuDBGVk/Pz+r9m8PZsyYgR9//FES69ChA/744w+4u7tX6nFDQkIkseeffx5Hjhwpsc3PP/9stFRNp06dMHz48ErJkWxPmrYQY+PPI8vg2qd3/BrhCQ/z1jImIqIHwh1dsTSwhSSWK2rxYuIlFIo174d7Iqp6yrJ3kU9QkHSph7S0NKv2bzjZkS0sN3L27Fls2bKl3Pvv27fP6HrLIr6+vkZnJotbvXo1VqxYYRTv0KEDFi1aVO4cimvQoAGmTJlS5n4uLi749ttv8cQTT+hjGRkZGDBgAMaPH49x48ahcePGUKvVuHbtGlatWoUtW7ZIZlF2dnbGypUrLcqT7I9a1OGFhIuI0uRL4iM9auF1g+ujiIjIfMM9auFAXip+KHb9/sXCbCxI/RcfBTSVMTMiqglsujAtug6x6BrQS5cuWbX/Q4cO6ddHBYDw8HCr9m+Jy5cvY/HixeXe/9ixYzh27JjJ+8LDw0stTO/evWsyXrREjyV69+5drsIUAIYOHYpPPvkEb731lj5WWFiIVatWYdWqVaW2VSgUWL9+PTp06GBxrmQ/RFHEnJTrOKqSTlDW3tkLywNbcgZeIiIrWRTQFCdVGbipfjCEd3nmHfR29cNA98BSWhIRVYxND+Xt0KGD/gunKIo4cOCA1fq+fPkyLl68qN/29PRE+/btrdY/lc+bb76J1atXw9XVtdxtfH19sWPHDjz99NOVmBnZktVZsViXFSeJ1XZwxo+12sGVM/ASEVmNu0KJNcFt4CxIvyK+lBSBRE2BTFkRUU1g04VpUFAQ2rVrp9++desW/v77b6v0PX/+fP3/C4KAnj17Gl3TSlVj0qRJuHr1KiZOnAg3N7cS9/P19cVrr72GGzduYMiQIVWYIcnpQF4q5qZIZ+B1+d8MvLWV1p+ci4iopmvt7IkP/ZtIYik6NaYlRUBX7JIaIiJrEkTRtt9h5s+fj/nz5+uH3LZq1Qrnzp2DUikdhdy+fXtcunQJoihCEARotdoS+1y1ahWmTZum71MQBGzcuJFn4GyASqXCyZMnce3aNaSnp0MQBAQEBKBVq1bo3Lmz0b+7Lbhy5QpatWql346IiEDLli1lzKj6iCzMRf+7p5BpMNnR2uA2GOFRS6asiIiqP1EUMTbhAv7Kk66QMN+vMWb68rp+oupKzu+1Nl+YZmRkoEGDBsjMzNQXkcOHD8fmzZvh4PBgCF95C9OlS5dizpw5+hl+RVFEw4YNcfPmTV6nRhZhYVo5MrRqDLh7CpHqPEn8Dd8GeMeP69YSEVW2VG0hesaeQLz2wRBeJQTsDumCji7epbQkInsl5/damx+76uPjgzlz5ugLTlEUsX37dnTp0gVHjx4tVx+iKGL37t3o06cPZs2aBbVarY8LgoAFCxawKCWyIRpRhwmJl4yK0ifcgzDXt6FMWRER1Sz+Dk5YFdwaxb8haSBiYuIlo2W7iIgqyvbGRZowZ84cHDlyBH/++ae+OD1//jx69+6Nxo0bo0ePHkhISJAsJfL2228jLS0Nd+7cwfHjx5GTkwPgQTEK3L+29MUXX8TYsWNleVxEZEwnipibcgMH8lMl8TZOnvg2qBUU/BGJiKjKPOzqh9m+DfB5+m19LFqTj1nJV7E6qDV/2Cciq7GLwlShUGDz5s3o3bs3zp8/L5mp9+bNm0brkYqiKFlypXjBWrxtr1698PXXX1fBIyCi8jien463U2/gQkGWJB7k4IQfa7eHu8Iu3rKIiKqVt3wb4Eh+Gk6pMvSxrTkJ6Ofqj2e8QuRLjIiqFZsfylvEw8MDR48exQsvvKAvNAVB0J9BNbxUtihWdIbUcN8JEyZg7969cHJykuPhEFEx0eo8vJBwAY/fO21UlDr/bwbeupyBl4hIFkpBgdVBreFl8OPgGynXEVmYW0IrIiLz2E1hCgCurq5Yv349Nm3ahBYtWpgsPE3dgAeFaqNGjbBx40asWbMGjo6OMj8iopotU6vGeyk30CXmGH7LTTK6XwCwLLAFOrv4VHluRET0QJijK74KbCGJ5YpavJh4CQWiTqasiKg6savCtMjo0aNx+fJl/P777xg3bhzCw8MlZ0gNb76+vnjqqaewYcMGXLt2jdeUEslMI+qwJjMWHWKO4qvMOyiE8eTgTRzdsa12R4zxrCNDhkREZGiYRy2M96oriV0qzMb81H9LaEFEVH52fcHW4MGDMXjwYABAfHw84uLikJqaivT0dLi6uiIgIADBwcFo1KgRL84nshH781LwbsoNXFObHv7lq3DEXL+GmOBVF46CXf52RkRUbS30b4oT+em4Uew9/JvMO+jj6odH3ANlzIyI7J1dF6bF1a5dG7Vr15Y7DSIqwfXCHLyXehN781JM3u8IAZO9wzDHtwF8HDjMnojIFrkpHLA2uA363T0lGcL7UlIEjoX2QC2ls4zZEZE9s+nTETt27ECDBg30t9atW6OwsFDutIjIDKnaQryefA0PxZ4osSgd7B6Ek6E9sDCgKYtSIiIb19LZEx/7N5HEUnVqTE26DJ1ofGkGEVF52PQZ08jISERHRwO4PwPvs88+y1l0iexEgajDqswYfJZ+u8SF2Fs7eeLjgKbo5epXxdkREVFFTPQKxYH8NOwqNnHdofw0LM2Ixmu+9WXMjIjslU0XpiqVSrLdvn17mTIhovISRRE7c5PwfupNRGnyTe4T7OCEd/0a4xnPOnDg9d9ERHZHEAQsD2yJC6pM3NUW6OMfpUWip6svZ1MnIrPZ9FBeNzc3yXZICBdxJrJlFwuyMOTeGTyfeNFkUeoiKPC6bwOcDeuJ571CWJQSEdkxXwdHrAxuLfkyqYWIiYmXkKlVy5YXEdknmy5M69SRLhORn2/67AsRySteo8L0pAj0iTuJY6p0k/s85VELp0Mfwrt+jeChsOnBGkREVE49Xf3wum8DSSxGo8JrKdcg8npTIjKDTX87bNWqFQDol3qJi4uTMx0iMpCn02J5RjSWZkQjV9Sa3KeLszcWBjRFJw7rIiKqlub4NsCR/DScUGXoY9tyEjDUPQjDPWrJlxgR2RWbPmPasmVL1Kr14A1t//79MmZDREV0ooifs+PROeYoFqbfMlmUhipdsDa4DXaHdGFRSkRUjSkFBVYFtYaPwWiYt1KuI4NDeomonGy6MAWA8ePHQxRFiKKIo0eP4saNG3KnRFSjnVJlYODdU5iSdFky4UURD8EB7/s1wj+hD2GERy39iAciIqq+Qh1dsSSwhSSWqC3Eh2n/ypQREdkbmy9MX3/9dfj5+UEQBGi1WsyYMQNarekhg0RUefJ0WkxKvIRBd//B2YIso/sFAC94huBsWE/M8m0AV4VD1SdJRESyGe4ejEfcAiSxtVlx+KfYEF8iopLYfGHq5+eH9evX68+6HDhwAGPHjkVeXp7MmRHVLDOSIrA1J8Hkfb1c/XC4bncsC2qJYKVzFWdGRES2QBAEfBbQHG7Cg6+XIoBXk69CLerkS4yI7ILNF6YAMGTIEGzcuBFOTk4AgF9++QWtW7fGxo0bUVBgPJSQiKzraH4atucmGsUbObrhp1rtsKN2R7R29pQhMyIisiXhjq6Y69dIErtamIPlGXdkyoiI7IUg2vhc3j/88IP+/y9fvowvv/wSOp0OoihCEAR4eXmha9eu6NChA4KCguDl5QWl0rLJhl944QVrpU01yJUrV/QzSANAREQEWrZsKWNG1qUTRfS7ewoXig3f9RQc8LZfI0z0DoWTYBe/bxERURXRiDr0jTuFy4XZ+piLoMCJ0B6o7+hWSksikpuc32ttvjBVKBQlTp5SlLq1JlfhtatkiepemG7KvodpSRGS2OcBzTDJO0ymjIiIyNadU2Wi/91TKP4ls5+rP36p3YGT4hHZMDm/19rNqY6imXmLbsD9glQQBKP7LLkRkbE8nRYLUqUzKjZ1dMd4r7oyZURERPagg4s3Jhv8gPl3fmqJcxUQEdlNYVpUhBbdSrvP3BsRmfZ15h3cM1gS5kP/JlBy+C4REZXhXb9GqOMgnRDv7dQbSOfapkRkgl18u7TGGVGeLSUyT4KmAF+mR0lifVz9MNBgKQAiIiJTvBRKLA5oJoklawsxL/WmTBkRkS2zbJagKhQVFVX2TkRkdR+nRSJXfHDdtQDgI/+mHGVARETlNtQjGI9nB+KPvGR97Ifsu3jasw56uPrKmBkR2RqbL0zDw8PlToGoxrlckI0N2Xclsec9Q9CKS8IQEZGZPg1sjsMxacgp9mPna8lXcTi0O5x5aQgR/Q/fDYhIQhRFvJt6QzKTorvggHcM1qUjIiIqj7pKF6PPkBvqXCzLiJYnISKySSxMiUhiT14KDuWnSWKv+tZHsNK5hBZERESlm+IdhnbOXpLY5+m3EVmYK1NGRGRrWJgSkZ5a1OE9g0kpQhycMcObQ+qJiMhyDoKALwNbSL54Fog6zEq5xokoiQgAC1MiKub7rDjcVEt/vX7PvzHcFA4yZURERNVFO2cvvGTwQ+fh/DRsyomXKSMisiUsTIkIAJChVWNR2i1JrJ2zF0Z71JYpIyIiqm7m+jVEXaWLJPZOyg2kagtlyoiIbAULUyICACzJiEKqTrro+cf+TaDg8jBERGQlHgolPg9oLoml6dRGl5EQUc3DwpSIEK3Ow4qMO5LYEPcgPOTqJ1NGRERUXT3qHogn3IMksR+z7+GwwcR7RFSz2Pw6pg0aNKiS4wiCgFu3bpW9I1E1ND/1XxQWWyDGEQLm+zWWMSMiIqrOFgc0w4G8VGQXW9t0VvJVHK3bHS6c14CoRrL5wjQ6OhqCIFT6jG0ChytSDXVKlYHtuYmS2GTvMDR0cpcpIyIiqu5qK13wvn9jvJFyXR+LVOdhSUYU3ua62UQ1kt0M5RUEodJuRDWVKIp4J+WGJOajUOIN36oZqUBERDXXi16h6OTsLYl9kR6Fm1zblKhGsovCVBTFCt3K6pOoptqWk4AzBZmS2Ju+DeHr4ChTRkREVFMUrW3qgAcnCdQQ8WryVej4/YyoxrH5obzjxo2zuK1arUZqaioiIyP1148WDQt2dXXFyJEj4eDA6xioZsrXaTEv7V9JrKGjGyZ6h8qUERER1TStnD3xsk84lmZE62PHVenYmH0Pz3uFyJcYEVU5my9M161bZ5V+7t27h5UrV+Krr75CRkYGVCoV7ty5g+3bt8PPjzOPUs2zIjMGcRqVJDbfvwmcBLsYSEFERNXEm74NsT0nATHFPpPeS72BR90CEKh0ljEzIqpKNeYbaJ06dTB//nxcuHABnTp1giiKOHr0KHr37o2MjAy50yOqUsmaAixJvy2JPeTii8FugTJlRERENZWbwgFLAltIYhk6Dd7h2qZENUqNKUyLhIWFYc+ePWjatClEUcTVq1cxduxYudMiqlKL0m9JpugXAHwc0JSTgRERkSwGuAVgpEctSeznnHgcyEuVKSMiqmo1rjAFAB8fH3zzzTcA7k+CtGfPHmzatEnmrIiqxrXCHKzPipPExnjURjtnL5kyIiIiAhb6N4W3QnqV2azkq8jXaUtoQUTVSY0sTAGgb9++aN++PYD7xemnn34qc0ZEVeP91JvQFdt2FRR4z7+xbPkQEREBQLDSGfP9m0hiUZp8fG5w6QkRVU81tjAFgEGDBun//+LFi7hz546M2RBVvv15KdiblyKJveJTDyFKF5kyIiIieuAFzxB0c/GRxJZmRONaYY48CRFRlanRhWmjRo0k2//8849MmRBVPo2ow7spNySxYAcn/J9PPXkSIiIiMqAQBHwR2AKOxdY21XBtU6IaoUYXpl5e96+pK5rwJTY2Vs50iCrVhux7uKbOlcTe9WsMD4XNrxpFREQ1SHMnD8w0+NH0lCoD3xvMj0BE1UuNLkzT09Ml2wUFBTJlQlS5snUafJwWKYm1cvLEM551ZMqIiIioZLN9G6CBo5skNi/tXyRq+F2NqLqq0YXp6dOnAdyf/AgAfH195UyHqNJ8mR6FZG2hJPaxfxM4cHkYIiKyQa4KBywJaC6JZek0mJt6o4QWRGTvamxhmp6ejq1bt0rWbaxdu7aMGRFVjlh1Pr7OlE7sNcgtAL3d/GXKiIiIqGx93Pwx2kP63WxbTgL25ibLlBERVaYaWZhqtVqMGzcOGRkZ+pggCOjZs6d8SRFVkg/TIqESHywQ4wABH/o3lTEjIiKi8lkY0BS+CkdJbHbKNeTqNDJlRESVpcYVpvv370e3bt2wa9cuCIIAURQhCAK6d+8Of3+eQaLq5awqEz/nxEtiL3rVRRMnd5kyIiIiKr8ABycsMFjbNEajwqdc25So2rH56TgXLFhQofZqtRpZWVm4ffs2zpw5g6SkJADQF6RF5s+fX6HjENkaURTxjsG1OF4KJd70ayhTRkREROZ7zrMONmXfwzHVg0krl2fcwSiP2mjt7CljZkRkTTZfmH7wwQeSArIixGLrXxXvc/LkyejXr59VjkFkK37LTcJJVYYk9oZvAwQ4OMmTEBERkQWE/61t2jP2OApx/7ucFiJeS76K3SFdOJEfUTVhN0N5RVGs8E0QBP2tKDZhwgR8++23cj88IqsqEHWYl3pTEgtXumKKd5hMGREREVmuiZM7XvOtL4mdKcjE2iyuQU9UXdhNYVq8qLT0VrxIbd68ObZv3441a9ZY7Ywska1YlRmDaE2+JDbfvzGcBbv5kyciIpKY5dsAjQzWNl2Q+i/iNCqZMiIia7L5obyAdAiuuZRKJbz+v737Do+qyv84/rnpnVQSQu9NRJpIEbAgAiqIsljX3uCnIuqKqyv2tmvvuIru6roiiKKCuLo0aQLSpddQAiQhvSf394fLwJ0JJJNMcmeS9+t55nk439xz7ncSuMw399xzoqIUHR2tjh07qlevXho+fLj69evnwQwB75FeVqy/Oi0K0TckWqPCE23KCACAmgs2/PRKQhddenCVI5ZjlumKg6v1bXJvJQQE25gdgJry+sK0vLy88oMAOLxwbJeynZbRfyauAzMDAAA+79zQWF0bmaxPcw46YltL8jTq0O/FaSzrKAA+i3l9QD2yrThPH2RZn7e5MiJJvUOi7UkIAAAPezquo9o6Ten9rThXlx9crcyyEpuyAlBTFKZAPfJY+jaV6cTU92DDT4/FtrcxIwAAPCvGP1Czk3urZUCoJb6uOEdXHvrVZdYQAN9AYQrUEwvz0/V9/lFLbHyjlmoRGHqKHgAA+KamASGandxbzQJCLPFVRVkad+hX5VGcAj6HwhSoB8pMU486bQ8T7xfosrQ+AAD1RcvAUM1O7q0m/tZFj5YVZurq1LUqKC+zKTMA1UFhCtQDn+Uc1IbiHEvskdh2ivLz+vXNAACotjaBYfo6ubcSnBY9WlSQoetS16rIZBFNwFc0iMK0pKREW7Zs0YoVK7Rr1y6VlfEbNNQfeeWlejpjhyXWKTBc10c1tSkjAADqToegcH3dpJdi/QIt8Z8K0nVD6joVU5wCPqFeF6Y7duzQ1VdfrdjYWHXt2lX9+/dX+/bt1bhxY40fP15HjhyxO0Wgxl7P3KPUsiJL7On4jgow6vU/bwAAHLoER2pWci81cpop9H3+Ud16eL1KKU4Br+f1n1wPHDig/v37O17nnXeeCgsLK+33ww8/qGfPnpo+fbry8vJkmqbjdezYMb333ns644wztGTJkjp4F0DtOFhaqNcz91hiF4TG6cKweHsSAgDAJt2DozSrSS9FGv6W+Oy8I7rzyEaVmeYpegLwBl5fmM6YMUPLly/XihUrtGLFCjVt2lQhISGn7bNnzx794Q9/UG5urkzTlGEYLi/TNJWWlqbLLrtMW7duraN3A3jWMxk7VHDSb4H9JD0V18G+hAAAsFHPkEaakdxL4U7F6YzcVN19dJPKKU4Br+X1hel3330nSTL/dyG56aabKu3z4IMPKjs721GEHu9//CXJET927JjuuOOO2kgdqHX3x7TRpeGNHe0/RjVTl+BIGzMCAMBefUOi9XmTHgp1eqTlXzkHNSlts+OzIADv4tWFqWma+uWXXxxFZHh4uAYNGnTaPtu2bdOXX35pKUgjIiI0ceJEvfvuu5oyZYpatGjhuJMqSYsXL9acOXNq980AtaBNYJj+mXSWvkvurXNDYvTnmLZ2pwQAgO0GhsbqX0k9FOxUnH6UvV8PpW+lOAW8kFfvJbFz507Lnc9+/fopMDDwtH0+/fRTR9FpmqZiYmK0bNkydehwYnrjfffdpwsvvFCrV692xD7++GONGDGi1t4LUJsGhMbqm6axdqcBAIDXOC8sTv9M7K5rU9eqRCcK0alZ+xQsQ0/GdXDcpABgP6++Y7p7925L+4wzzqi0z4wZMxxFqWEYevjhhy1FqSRFRUVp2rRpkuQ49rvvvlN5OSu2AQAA1BcXhSdoWlJ3+ctagL6RtVfPOG21BsBeXl2YpqSkSDrxfGm7du1Oe/yRI0e0efNmRzsgIEC33HJLhcd27dpVAwYMcIxdUFCgLVu2eCJtAAAAeIlLwhvr74ndXD70/i1zt/56bJctOQFw5dWFaXZ2tqUdFRV12uMXLVrk+LNhGBo4cKBiYmJOefy5555raW/atKkaWQIAAMCbXR6RpHcanyHnibvPZOzQ68d2V9gHQN3y6sI0Pz/f0g4LCzvt8StWrJB04g7rsGHDTnu88x3YtLQ0d1MEAACADxgXmazXErq4xB/L2K53M/fakBGAk3l1Yervb92DqrCw8LTHL1++3NIeOHDgaY8/fgf2+IPvOTk57qYIAAAAH/HHqGb6W3wnl/jk9K2alpViQ0YAjvPqwtR56u7hw4dPeWxhYaFWrlzpKDKDgoLUp0+f045fWlpqabP4EQAAQP12a6MWeiauo0v8vrTN+iT7gA0ZAZC8vDBNSEiQdOKO5m+//XbKY//73/+quLjYcfxZZ51V6dYymZmZkk5M/Q0PD69pygAAAPByE6Jbakpse5f43Uc36YucQzZkBMCrC9Nu3bo5/myapn744YdTHjt9+nTHcZI0aNCgSsd3vgMbG8s+kAAAAA3BfTGtNTmmrSVmSrrzyEZ9nZtqT1JAA+bVhWn79u3VqFEjRzslJUX/+Mc/XI7bv3+/pk+fbtkk+cILL6x0/HXr1lnarVq1qn6yAAAA8CkPxbTRfdGtLbEymbrl8AZ9l3fEpqyAhsmrC1M/Pz9dccUVMk1ThmHINE1NmDBBn3zyieN50F27dmnMmDGWhZHi4+N1wQUXVDr+mjVrLMVsZfukAgAAoP4wDEOPxbbT+EYtLfFSmboxdZ3+k3fUpsyAhserC1NJGj9+vPz8fk/TMAzl5eXphhtuUFRUlJo2baoOHTpo9erVjsLVMAzddtttjj6nsnXrVu3Zs8fRbtq0qRITE2vzrQAAAMDLGIahZ+I66Nao5pZ4iUxdd3idFuan25QZ0LB4fWHas2dP3XLLLY5nR48XoPn5+Tp06JDKy8sdX5N+v1v6wAMPVDrul19+6fizYRjq16+f55MHAACA1zMMQy/Gd9IfI5ta4kVmua5KXaMlBRk2ZQY0HF5fmErSG2+8ofPPP99SnDq/TNNUcHCwPvvsM0VHR1c65r/+9S9HP0k677zzavMtAAAAwIv5GYZeTeiicRFNLPECs1zjDq3RL4WZ9iQGNBA+UZgGBQVp7ty5mjJlisLDw2WapsurR48eWrBggc4///xKx/vxxx+1adMmS2zkyJG1lT4AAAB8gJ9h6K3GXTUmIskSzzXLNPbQr9pQlGNTZkD9F2B3AlUVGBioKVOmaPLkyfrpp5+0a9cu5eTkKC4uTn379lX37t2rPNbGjRs1atQoRzspKUnNmzc/TQ8AAAA0BAGGn95rfIaKzXJ9e9LKvFnlpRpzaLXmJvdRu6BwGzME6ifDPPkBTQBu27Rpk8444wxHe+PGjeratauNGQEAgJoqNst1Xepa/ZCfZok3CwjR3OQ+ah4YalNmQO2x83OtT0zlBQAAAOpSkOGnjxO7a0BIjCW+v7RQow+t1pHSIpsyA+onClMAAACgAqF+/vqsSQ/1DI6yxHeW5OvyQ6uVWVZiU2ZA/UNhCgAAAJxClF+AZjTpqU6B1udKNxXnauyhX5VbXmpTZkD90mAK08LCQh0+fFhlZWV2pwIAAAAfEusfpFnJvdQqwPpc6cqiLF2bulaF5Xy+BGqqXhemx44d08MPP6wOHTooPDxcycnJCg4OVrdu3fTiiy+qsLDQ7hQBAADgA5oEhOir5F5q4h9siS8syNDNh9er1Cy3KTOgfvD67WLS09N19913O9r+/v56//33FRISctp+a9as0SWXXKLU1FSdvPCwaZratGmTHn74YU2bNk2zZs1Sp06dai1/AAAA1A+tAsM0K7mXRhxYqYzyE8+Xzsk/qglHNumdxmfIzzBszBDwXV5fmM6aNUv//ve/ZfzvH/nIkSMrLUrT0tI0cuRIpaamSpKj78lM09TWrVt18cUXa9myZWrSpInnkwcAAEC90ikoQl8m99JlB1cp+6TnSz/PPaRIvwD9Nb5ThZ89AZye10/lnT17tiQ57nreeuutlfZ5+OGHlZqaKsMwHBcG0zQdL+lEsZqSkqLx48fXRuoAAACoh84KjtK/k3ooxLB+lP57doqeythhU1aAb/P6wnT58uWOIjI4OFhDhw497fH79+/XP/7xD0tB6ufnp9GjR2vy5Mm64YYbFBkZKdM0ZRiGTNPU7Nmz9fPPP9f6ewEAAED90D80Rv9M7K5AWe+Ovpy5W68e221TVoDv8urCdO/evUpLS5P0+x3Ovn37KjQ09LR9/vWvf6mk5Pc5/6ZpKjQ0VPPnz9eXX36pZ599VtOmTdOGDRvUrl07S79p06bVzpsAAABAvTQ0PEHvJ3Zz+UD9eMZ2fZCVYktOgK/y6sJ0165dlvYZZ5xRaZ8vvvjCcSfUMAzdd999GjhwoOWY5s2b66OPPrLcNZ01a5ZHcwcAAED9NzoiSa8ldHWJP5C2WdNzDtmQEeCbvLow3bdvn6QTz5d26NDhtMdnZmZqzZo1jrafn98pnx/t37+/evbs6WhnZWVpxw6eCQAAAIB7ro9qqmfjOlpipqS7jmzUnLwj9iQF+BivLkwzMzMt7ejo6NMev3jxYpWX/76HlGEY6tOnj5KTk095/HnnnWfZSmbDhg3VzhUAAAAN1/jolpoc09YSK5Opmw6v18L8dJuyAnyHVxemBQUFlnZERMRpj1+xYoWkE3dYL7744tMe73wH9sgRfqMFAACA6nkopo3uatTCEisyy3VN6lqtLMy0JynAR3h1YXry3UxJKioqOu3xxwvT45yfLXV2/A7s8RV8s7Oz3cwQAAAA+J1hGHo2rqOui2xqieeZZbry0K/aWJRjU2aA9/PqwjQqKsrSTk8/9TSI0tJSLVu2zFFk+vv765xzznHrfMdX8wUAAACqwzAMvZbQRaPDEy3xrPJSjTm0WjuL82zKDPBuXl2YxsbGSjpxR3PLli2nPPbnn39Wfn6+o33GGWcoLCzstOMff4b1+J3Z8PDwmqQLAAAAyN8wNDWxm4aGxVviR8qKNerQau0vLbQpM8B7eXVhevL2MKZp6scffzzlsTNmzHAcZxiGzj333ErHP3r0qKVd2eJKAAAAQFUEGX76OLG7+oVEW+L7Sws1+uAqHS09/SNqQEPj1YVp586dFRoa6mhv27ZNc+bMcTnu2LFj+vTTTx13ViXp/PPPr3R851V4W7VqVf1kAQAAgJOE+fnr30k91D0o0hLfUZKvMYd+VWYZj5EBx3l1YRoQEKBLL73UcRfUNE3dfPPN+vnnnx3H5OTk6Nprr1VWVpYjFhkZWemKvJK0du1aSzHbtm3b0xwNAAAAuKeRf6C+TO6ljoHWR8Y2FOdoXOoa5ZWX2pQZ4F28ujCVpDvvvNPxZ8MwdOTIEQ0ePFidOnXSgAED1LRpU82bN89RuBqGoeuvv17BwcGnHTclJUVbt251tOPj49WsWbNaex8AAABomOL8gzQruZdaBoRa4isKM3Vd6joVmeU2ZQZ4D68vTIcMGaLRo0c7Fig6XoBu27ZNy5cvV25urmVbmfDwcP35z3+udNxZs2Y5/mwYhtsr+AIAAABVlRwQoq+TeynJ33rzZH5Bum45vF6lFKdo4Ly+MJWkDz/8UN26dbMUp8en4B7/8/G7pVOnTlWTJk0qHfOzzz5z9JN+L4ABAACA2tIqMEyzknspxi/QEv8274j+78gmlZ90swVoaHyiMI2OjtbChQt1ww03SPp95V3nV5MmTTRjxgxdddVVlY73yy+/aMWKFZbYiBEjaiV3AAAA4LjOQRGa2aSnIg1/S/zfuYf0UNoWy0xAoCEJsDuBqoqOjta0adP01FNPafbs2dq1a5dycnIUFxenvn37atiwYQoJCanSWHPnzlX37t0d7aSkJHXs2LG2UgcAAAAceoY00mdNeujKQ7+q8KQpvO9npyjGP1B/jm1nY3aAPQyTX8sANbJp0ybLnrsbN25U165dbcwIAAD4gh/yjuqa1LUqlfXj+LymZ6uv0/6nQF2w83OtT0zlBQAAAOqbi8ITNDWxmwyn+H1Hf1MJiyGhgaEwBQAAAGwyJiJJj8e2t8R+K87Vu1n7bMoIsAeFKQAAAGCjCdEtdUZQpCX2fMZO7S8ttCkjoO5RmAIAAAA2CjD89HJCZ0sszyzTw2lbbMoIqHs+syqvs9LSUi1btkwLFizQmjVrlJaWpvT0dBUUFMgwDO3cudPuFAEAAIAqOTskWjdENtXHOQccsW/yjmhe3lENC0+wMTOgbvhcYZqXl6d33nlHr7zyilJTUy1fO77AsGE4P0JuNX78eP3888+O9s0336yJEyd6PFcAAACgqh6P66Bv844ovbzEEXswbbPODY1VmJ//aXoCvs+npvKuW7dO3bt310MPPaRDhw7JNE1HMWqaZqUF6XGXXnqpNm7cqE2bNmnjxo16/fXXazNtAAAAoFIx/oF6Kq6DJbavtFAvHdtlU0ZA3fGZwnTu3Lnq37+/du/e7ShCj7/c3Yp1+PDhlv149u7dq8WLF3s6ZQAAAMAtV0cmq39IjCX2euYebS3OtSkjoG74RGG6adMmXXXVVSooKJAkSzHarVs3jRo1SjExMacbwsU111xjucs6Z84czyYNAAAAuMkwDL2U0FkBJ+1uWiJT9x/d7PbNGMCX+ERheu211yonJ8dRRJqmqVtvvVV79+7V2rVrNWvWLLVo0cKtMceOHev4s2ma+vHHHz2aMwAAAFAdnYMidHd0K0vs58Jj+jz3kD0JAXXA6wvT6dOna/369Y67pIZh6MMPP9TUqVPVrFmzao/brl07tWrVytFeu3atiouLPZAxAAAAUDMPxrRR84AQS+zRtK3KLCs5RQ/At3l9YfrWW29JOrG40X333acbb7zRI2P36tXLMSWivLxcW7du9ci4AAAAQE2E+fnrxfhOllhaeYmezNhuU0ZA7fLqwjQvL0/Lly93TOGNjIzUX/7yF4+Nf+aZZ1ra27Zt89jYAAAAQE0MD2+sEWHWPUynZe/XqsJMexICapFXF6bLli1TScnv0xUMw9CIESMUFRXlsfETEqz/0NPS0jw2NgAAAFBTL8R3Uphx4iO7Kem+o5tVapbblxRQC7y6MD148KAkOabb9uvXz6PjR0dHS5LjjmxOTo5HxwcAAABqonlgqCbHtLXENhTn6P2sFJsyAmqHVxemzncwGzdu7NHx/fysb7+0tNSj4wMAAAA1dVd0S3UJirDEns3YoYOlhTZlBHieVxemZWVltTp+RkaGpBN3ZN3dCxUAAACobYGGn16K72yJ5Zhl+nMaC3ei/vDqwtT5GdDMzEyPjr97925LOy4uzqPjAwAAAJ7QLzRG10U2tcS+yjusn/JZIwX1g08UpsefAd20aZNHx1+0aJGl3bRp01McCQAAANjribj2ivELtMQeOLpZBeW1O8sQqAteXZievJ2LaZpauHChx8bevXu3Vq1a5Sh6Q0JC1Lt3b4+NDwAAAHhSnH+Qnohrb4ntLi3QK5m7T9ED8B1eXZg2b95cnTqd2Fh448aNWrVqlUfGfv755x3PsBqGoX79+ikwMLCSXgAAAIB9rotsqr4h0ZbYq8d2a0dxnj0JAR7i1YWpJI0YMUKmacowDJmmqUmTJtV4zNmzZ+vvf/+7Y0xJGjt2bI3HBQAAAGqTn2Ho5fjO8pfhiBXL1P1pmx2fa+HbdpXka27eEbvTqHNeX5hOmjRJISEhjvaSJUt07733Vnu8r7/+Wtdff70llpiYqJtuuqnaYwIAAAB1pWtwpMY3amGJLSzI0MzcVJsygqcUm+W65fB6XZ26Vg+lbVGRWW53SnXG6wvT5ORkTZgwwXLX9M0339SoUaO0d+/eKo+zZcsW3XjjjbriiiuUk5MjSY4xH374YQUFBdXWWwAAAAA86qHYtmoWEGKJPZK+VZllJTZlBE94Mn271hRlS5Ley9qnC/evUEpJgc1Z1Y0AuxOoiqeeekqLFi3SypUrHcXpt99+qzlz5uj888/XgAEDlJGRYZm+MHXqVGVkZGjv3r1atGiRtmzZIulEMSr9/mzpyJEjdffdd9vyvgAAAIDqiPAL0HNxHXX94XWO2OGyYj2TsUN/Teh8mp7wVv/JO6o3s6w33grNMsX6N4x1cAzTRyajp6am6pxzztG+ffssz4YeLzIlWQrTyuKmaapz585aunSpGjVqVNvpox7btGmTzjjjDEd748aN6tq1q40ZAQCAhsA0TV2VukbzTtrL1JD036Z91SOEz7e+JLW0SANTliqt/MQd72DDT/9perbODI6qszzs/Fzr9VN5j0tKStIvv/yi8847z3HX8+Qi07m+Ph47+diTj7/wwgu1ZMkSilIAAAD4JMMw9GJ8Z4UaJz7Sm5LuS9usMt+49wRJZaap249ssBSlkvRUXIc6LUrt5jOFqSQ1btxYP/74o55//nnFxcVVWHhW9JJOFKqNGjXSM888o7lz5yo6OtreNwQAAADUQMvAUD0Y08YSW1uUrQ+zU2zKCO56NXO3FhVkWGIjwhJ0W1RzmzKyh08VptLvvxn605/+pL179+r111/X4MGDFRwcbLlD6vwyDEN9+vTR008/rT179ujhhx+Wv7+/3W8FAAAAqLH/i26ljoHhlthTGTt0uLTIpoxQVSsKM/Vsxk5LrKl/sN5s3NXyaGJD4BOLH1UkNDRU//d//6f/+7//U3FxsVavXq39+/crPT1dx44dU2hoqOLj45WYmKjevXsrJibG7pQBAAAAjwsy/PRSQmddcnCVI5ZdXqpH0rfq74ln2pgZTiezrES3Hl6vMp2Ydu0naWpiN8X6N7wdQ3y2MD1ZUFCQ+vXrZ3caAAAAgC0Ghsbqqogm+nfuIUdsRm6qrotsqiFhcTZmhoqYpql7jm5SSmmhJf6nmLYaEBprU1b28uqpvP/97391/vnnO14XX3yxiouL7U4LAAAA8DpPxXVQtJ/1vtMDaZtVZJbblBFO5aPs/Zqdd8QS6x8S4/K8cEPi1YXp+vXrtWDBAi1cuFALFy5URESEgoIa3m1tAAAAoDIJAcGaEtveEttRkq/Xju22KSNU5LeiHD2cvtUSi/EL1PuJ3eTfwJ4rPZlXF6Z5eXmSTuxD2rdvXzvTAQAAALzaDVHN1CfYuh3iS5m7task36aMcLL88jLdcni9Cp3uYr/VuKuaBoTYlJV38OrCNCTE+sNp1qyZTZkAAAAA3s/PMPRSQmfLh/wis1wPHt3suNkD+/w5fas2l+RZYrc3aqER4Y1tysh7eHVhmpiYaGmXlpbalAkAAADgG84MjtIdjVpYYj8VpOvrvMM2ZQRJ+io3VR9l77fEugVF6kmn6dcNlVcXpl26dJEkxx4+qampdqZT59LT0zVv3jw9/fTTuuyyy9SkSRMZhmF5Pf744x49Z05OjhYsWKAXX3xRY8eOVatWrVzOeeONN9b4PEOGDHEZtzqv3Nzcmr9pAACAeubPse3UxD/YEns4bauyy7nRY4e9JQW65+hvlli44a8PE89UiJ+/TVl5F6/eLuass85STEyMMjMzJUkLFizQgw8+aG9Stezll1/WypUr9csvv2jXrl11cs5p06ZpwYIFWrlypbZu3aryclZuAwAA8GWRfgF6Pr6jbji83hE7VFakZzN26Pn4TjZm1vCUmOW67fB6l18KvBjfSe2Dwm3Kyvt4dWHq5+enq6++Wm+//bYkaf78+Tpw4ICaNm1qc2a15/7776/zcz7xxBPau3dvnZ8XAAAAteey8ERdGBqnHwvSHbGpWft0dWSyugdH2ZhZw/Jcxk79UpRlif0hoomuiUy2KSPv5NWFqSQ99NBD+uijj1RQUKCioiJNmjRJn3/+ud1pwcNGjBihbt26ud2P7YMAAAAqZhiG/prQWf1SljpWgS2XdP/Rzfqh6dnya8Bbk9SVhfnpeiXTul1P64BQvZTQ2fG4In7n9YVp8+bN9dprr+m2226TYRiaMWOGJk2apJdeeqlB/DAjIiLUq1cv9enTR3369NG4ceNq/ZwhISE666yzHOf805/+VOvP944dO9Yjz64CAADghNaBYZoU3VrPHtvpiK0qytLH2ft1U6PmNmZW/x0tLdLtRzbo5LWQA2Xow8QzFenn9WVYnfOJ78gtt9yijIwMTZ48WaZp6rXXXtPy5cv117/+VQMGDLA7PY86++yzHQVhnz591KlTJ/n5nVijqjYK027dumno0KGOc3br1k0BASf+avzlL3/x+DkBAABQN+6Naa3puYe046S9TB/P2K6R4Y3VOCD4ND1RXeWmqbuObNThsmJLfEpce/UIaXSKXg2b1xemixYtkiT17dtXkydP1osvvqiysjItX75cgwYNUvv27TVkyBD17NlTjRs3VlRUlKWocsegQYM8mXq1rFixos7P+c0339T5OQEAAFA3gg0/vRTfWaMOrXbEsspL9Wj6Nk1NdP9RKlTuray9lmd7JWloWLzGN2ppU0bez+sL0+PbipzMMAyZpinTNLVt2zZt3769xucxDIN9UgEAAFAvDQ6L09iIJH2Re+LxrOm5h3R1ZLLOC4uzMbP6Z01hlp5Mt9Ynif5BejuhK8/1noZX72N6suOF6PHXyXtZOn+tui8AAACgvnomrqMaOT3beN/R31RQXmZTRvVPdnmpbj68XiUnPVlqSJrauJsSmDZ9Wj5TmJ5ciFZ0B7UmLwAAAKC+axwQrCfjOlhie0oL9Ndju2zKqH4xTVP3H/1Nu0sLLPFJ0a01mLvSlfKJwtRTd0S5UwoAAICG7PrIpjonJNoSez1zj34ryrEnoXrkXzkHLVOlJens4EaaHNvWpox8i9c/Yzp//ny7U0AdME1TGzdu1KpVq3T48GHl5eUpJiZGcXFx6ty5s3r27Cl/f3+70wQAAPBpfoahVxO66NyUZY7ppqUydV/aZs1N7sMzkNW0vThPD6ZttsSi/AL0fuKZCjR84l6g7by+MB08eLDdKaAO3H777addfCoyMlLDhg3TAw88oL59+9ZhZgAAAPVLp6AI3RvTWn87aQrvisJMfZS9Xzezt6nbCsvLdNPh9co3yy3xNxK6qGVgqE1Z+R6vL0zRMFS2InJOTo5mzJihGTNm6JJLLtG0adMUHx/v8TyOHDmio0ePutVnx44dHs8DAACgNt0f3Vpf5qZql9PepiPCGyuJRXrc8ljGdm0stk6FvimqmUZFJNmUkW+iMIXP+fbbb9WjRw99++236t69u0fHfvvtt/XEE094dEwAAABvE+rnr1ec9jbNLi/Vw2lbNC3Js5+v6rM5eUc0NWufJdY5MFzPxnW0KSPfxYRn2Kp9+/aaNGmSZsyYoS1btujYsWMqKSlRenq6NmzYoHfffVfnnXeeS7/9+/dr5MiROnjwoA1ZAwAA+L7BYXEaF9HEEpuVd1g/5Lk3e6yhOlBaqAlHNllioYafPkzqrlA/1kZxl9feMS0sLNSmTZt09OhRZWZmKjo6WgkJCerSpYtCQ5mr7esuu+wyPfvss+rfv3+FX4+NjVVsbKzOOOMM3XHHHVqwYIGuu+46HThwwHHMgQMHdNVVV2nRokV1lTYAAEC98kx8R/2Qn6Zj5SWO2P1pm7U8NEbhfl5bKtiuzDR12+ENlu+bJD0X30mdgyJsysq3ed3ftpkzZ+q9997Tzz//rKKiIpevBwUFaeDAgbr99ts1duxYGzKEJ0yaNMmt44cMGaKVK1fqnHPO0b59J6ZLLF68WN99951GjhzpkbzGjx/v9t+rHTt2aPTo0R45PwAAQF2K9w/SU3Ed9H9HT9z5Sykt1AvHdrnseYoT/npsl5YWHrPERocn6obIpjZl5Pu8pjA9ePCgxo4dq+XLl0vSKfcXLSoq0n//+1/997//1csvv6zp06ereXNWD2sImjRpohkzZqhv376Wvx8vvfSSxwrTxo0bq3Hjxh4ZCwAAwBdcG5msz3IOaslJhdZbmXt1ZUSSzgyOsjEz77SkIEMvHttpiTUPCNGrCV1ksN1OtXnFM6Y7duzQgAEDtHz5cpmmKdM0ZRjGKV/Hj1mxYoUGDhzIqqgNSJ8+fXT55ZdbYkuWLFFeXp5NGQEAAPg24397mwbpRFFVJlP3Hf1NZae4WdRQZZQV67bDG3TyxjD+MvRB4pmK9g+0La/6wPbCtKysTFdffbX27t0rSY7i83ROPiYlJUVXXXWVysrKaj1XeIcrr7zS0i4uLtbSpUttygYAAMD3tQ8K16SYNpbY6qJsfZCdYlNG3sc0TU04skkHy6yPGz4S21Znh0Tbk1Q9Ynth+tprr2n16tUuxejxu6JhYWFq0qSJwsLCHLHjjvdZs2aNXn311bpMGzbq16+fS+zkRZEAAADgvvtiWqt9YJgl9lT6dh0sLbQpI+/yfnaK5uZbVyweEhqridGtbcqofrG1MDVNU2+++aalKDVNU4mJiXr55Ze1Z88e5eTkaP/+/crJydGePXv00ksvKTEx0VGgHp/a++abb9r1NlDHKnoG9OhRljUHAACoiWDDT68kdLHEcswyPZS2xaaMvMeGohz9JX2bJRbvF6h3G3eTH8+VeoSthen8+fO1Z88eSScWO+rbt6/Wr1+viRMnqkWLFpbjW7Roofvuu0/r16/XOeecY7l7um/fPs2fP7/Ocod9KloYiwfNAQAAam5gaKyujUy2xL7JO6I5eUdsysg7PJK+VUVmuSX2bmI3JQUE25RR/WNrYbp48WJLOz4+Xl9//bXi4+NP2y8+Pl6zZs1yuXPGfpYNw+HDh11iCQkJNmQCAABQ/zwV10FxftaFfB48ulk55aU2ZWSvo6VFWlyQYYnd3ailLgw7fc0C99hamK5evVqSHKvwTpw4scpbdSQmJmrixImOviePh/pt2bJlLrEmTZrYkAkAAED9E+sfpGfiO1piB8qK9GxGw9wJY15+mk6erxdh+OuR2Ha25VNf2VqYbtu2zTIF86qrrnKr/7hx4xx/Nk1T27ZtO83RqC+mT59uaQcGBla4IBIAAACqZ1xEEw0OjbXE3svap7VF2TZlZB/nBY/OD4tTiJ+/TdnUX7YWpllZWY4/x8TEqHVr91a0at26tWJjT/yDyczM9FRq8FLLli3T7NmzLbEBAwYoMjLSpowAAADqH8Mw9HJ8ZwUbJ8qFckn3HtmkUqdnLeuzgvIyzc9Ps8SGh1dthifc4zWFaWXPlZ7Kyf2ysxveb3B8TU5OTrV/TikpKS57mErSpEmTapoWAAAAnLQNCteDTnubrivO0dSshrO36aKCDOWfVIj7SbqIZ0trha2FaWHhiT2RwsLCTnPkqYWGhjr+XFRUdJoj4Q127typVq1a6cknn9TBgwer3G/evHnq06ePS5+BAwfq0ksv9XSaAAAAkHRPdCt1Cgy3xJ7J2KGUkgKbMqpbztN4+4ZEK84/yKZs6rcAuxOA1erVq/XFF19U+fgff/zRUuCfLCYmRg899FClY+zatUtTp0495dePHTvmkuPkyZNPefzzzz9/2vMdO3ZMU6ZM0RNPPKEBAwboggsuUI8ePdShQwdFR0crIiJCOTk5OnjwoJYsWaLPPvtMy5cvdxmnWbNm+ve//13JuwMAAEB1Bf1vb9PhB1c6YnlmmR5M26LPks6q11v2lZumvs+zFqYjmMZbayhMvcyGDRv0wgsvVPn4JUuWaMmSJRV+rWXLllUqTPft2+fWOTdu3KiNGzee8uuVFabHlZeXa/HixS7bBlVFq1at9O2336pp06Zu9wUAAEDV9QuN0Y1RzfRR9n5H7Pv8o/om74gui0i0MbPatbYoW6ll1hmZw8PYorC22DqVF3CXYRj64x//qHXr1qlr1652pwMAANAgPB7bXo2dprA+lLZF2fV4b9M5TtN42weGqV1Q+CmORk1RmKJOdezYUf/617902223qWvXrvL3r9pS2y1bttS9996rbdu26eOPP1ZUVFQtZwoAAIDjov0D9VycdW/TQ2VFeip9u00Z1b65eUcsbVbjrV1M5fUyN954o2688cY6PeeQIUNkmmblB3pAaGiorr76al199dWSfl8Aa+vWrdq7d68OHjyonJwcFRYWKjw8XDExMUpISFCvXr3UpEmTOskPAAAAFRsTkaR/5RzUTwXpjtjfs1M0LrKJeodE25dYLdhbUqBNxbmWGNN4a5fXFKY7duzQ+eefX61+J6vOGNLvU0R/+umnavVF9YWEhKh79+7q3r273akAAADgNAzD0EsJndUvZakK/reFiinp3qO/aUGzcxRo1J/JmN87TeON9QvU2fWs+PY2XlOY5uXlaeHChdXqe/xun2ma1RrDNM16vaIYAAAA4AmtAsP0UExbPZ5xYgrvpuJcvZO5V/fEtLYxM8+a4zSNd1h4gvypF2qV1/xawzTNar9qMg4AAACAqpsQ3VJdgiIsseeO7dTeerK3aWZZiZYUWLdLZBpv7fOKwtQwDNteAAAAAKou0PDTawlddPIn6QKzXA+kba4XN35+yk9TqU68jyAZOj8szsaMGgbbC9Oa3Cn11AsAAABA1fUJidYtUc0tsf/kp+mrvMM2ZeQ5c52eLx0cFqcIP695ArLesvU7vHv3bjtPDwAAAKCa/hLbTt/mHVFqWZEjNjlti84LjVO0f6CNmVVfiVmuH/LTLDGm8dYNWwvTli1b2nl6AAAAANXUyD9QL8R31A2H1ztih8uK9WTGdr2c0MXGzKpvacExZZeXWmIXh1OY1gXbp/ICAAAA8E2XhSdqWFi8JfZh9n6tKMy0J6Eacp7G2yM4SskBITZl07BQmAIAAACoFsMw9Nf4zgpz2sP0vqO/qeR/e536CtM0NTfPWpgyjbfuUJgCAAAAqLYWgaF6OLadJfZbca7eyNxjT0LVtLk4V3tLrVveDA9vbFM2DQ+FKQAAAIAauatRC50ZFGmJvXhsl3aX5NuUkfucp/E2CwjRGU77taL2UJgCAAAAqJGA/+1tenJxUWiWa9JR39nbtKJpvIZhnOJoeBqFKQAAAIAa6xHSSLc1amGJzS9I18zcVJsyqrrDpUVaVZRliY1gGm+dojAFAAAA4BGPxrZTsn+wJfbSsV1ef9d0ntM03kjDXwNCY2zKpmGiMAUAAADgEZF+AXo+vpMltrkkT4sKMmzKqGrmOE3jvTAsXkEGpVJd4rsNAAAAwGMuCW+s9oFhltjU7BSbsqlcfnmZFhSkW2Ksxlv3KEwBAAAAeIyfYbg8azo374j2lRScooe9FhSkq/CkPVf9ZWhoWLyNGTVMFKYAAAAAPOrqyGRFGv6OdrmkD7z0rqnzarz9QqIV4x9oUzYNF4UpAAAAAI+K9AvQ1VFNLbF/ZB9QQXmZTRlVrNw09b3TwkdM47UHhSkAAAAAj7s9qrmlfay8RF/kHrIpm4qtLsrS0bJiS2xEeIJN2TRsFKYAAAAAPK5dULguCI2zxKZmpXjV1jHO03g7BYartdPCTagbFKYAAAAAasXtTosgbSzO0dLCYzZl42pu3hFLm2m89qEwBQAAAFArhobFq3VAqCU2Ncs7FkHaXZKvzSV5lthwpvHahsIUAAAAQK3wMwzd6nTX9Nu8I9pfWmhTRic4T+NN8A9Sr+BGNmUDClMAAAAAtebayGSFGSfKjjKZmuYFd02dp/EOC0uQv2HYlA0oTAEAAADUmmj/QF0VmWyJfZS9X4U2bh2TWVaipYWZlhjTeO1FYQoAAACgVt3mNJ03vbxEX+am2pSN9J/8NJXpxOrAIYafhoTG2pYPKEwBAAAA1LLOQREa5FT4Tc22b+uYufnW50sHh8Yq3C/AllzwOwpTAAAAALXOeeuYtUXZWlmUVed5FJvl+jE/zRIbwTYxtqMwBQAAAFDrhoclqHlAiCU2NWtfneextOCYsstLLbFhYTxfajcKUwAAAAC1zt8wdFtUc0vsq9zDSi0tqtM85jhN4+0VHKWkgOA6zQGuKEwBAAAA1Inro5op9KStY0plalp23W0dY5qmyzYxw5nG6xUoTAEAAADUiRj/QI2NaGKJfZS9X8VmeZ2cf1NxrlJKCy2x4Uzj9QoUpgAAAADqjPMiSIfLivV17uE6ObfzarwtAkLUJSiiTs6N06MwBQAAAFBnzgiOVP+QGEusrhZBqmgar2EYdXJunB6FKQAAAIA6dUcj6yJIK4uytKawdreOOVRaqF+Lsi2xEUzj9RoUpgAAAADq1Mjwxmrqb10J971avms6z2nv0ii/APUPjTnF0ahrFKYAAAAA6lSA4aebne6afpmbqqO1uHWM8zTeoWHxCjQoh7wFPwkAAAAAde6GqGYKPqkwLJapj3MO1Mq58spLtaAgwxJjNV7vQmEKAAAAoM7F+wdpTESSJfZhVopKamHrmPkFGSo6adwAGbowLN7j50H1UZgCAAAAsMUdTlvHHCwr0ndOU249wXkab//QGEX7B3r8PKg+ClMAAAAAtjgrOEpnBzeyxDy9CFKZaWpennX/Uqbxeh8KUwAAAAC2ud3prumywkytd9rWpSZWFWUprbzEEhseTmHqbShMAQAAANjmsohEJfoHWWJTs1I8Nr7zNN4uQRFqFRjmsfHhGRSmAAAAAGwTZPjppijr1jEzcg8po6zYI+PPZRqvT6AwBQAAAGCrm6KaKVCGo11olusf2TXfOmZncZ62luRZYkzj9U4UpgAAAABslRgQrMudto75e3aKSmu4dczcfOvd0sb+QerptNgSvAOFKQAAAADb3d7IOp13f2mhyzRcdzn3vzgsQX6GcYqjYScKUwAAAAC26x0SrZ7BUZbY1BpsHZNRVqzlhZmWGNN4vReFKQAAAACv4Lx1zOLCY/qtKKdaY/0nP01lMh3tUMNPg0PjapQfag+FKQAAAACvcHlEkhKcto55P7t6W8c4T+MdEhqnMD//aueG2kVhCgAAAMArBBt+uiGqmSX2ec5BZZaVuDVOkVmun/LTLDGm8Xo3ClMAAAAAXuPmqGYKOGnrmHyzXJ/kuLd1zJKCDOWYZY62od8XPoL3ojAFAAAA4DWSA0J0aXhjS+zvWSkqM81T9HDlPI23d3AjNQ4I9kh+qB0UpgAAAAC8ivMiSHtKC/Qfp6m5p2Kapsv+pUzj9X4UpgAAAAC8yjkh0eoWFGmJVXXrmA3FOdpfWmiJDXe6AwvvQ2EKAAAAwKsYhuFy1/S/BenaXpxXaV/nabytAkLVKTDco/nB8yhMAQAAAHidKyOSFOsXaIlV5a5pRdN4DcM4xdHwFhSmAAAAALxOqJ+//hjV1BL7LOegsstLT9nnQGmh1hZlW2JM4/UNFKYAAAAAvNLNUc0tBUuuWabPcg6e8vh5TtN4G/kFqF9IdO0kB4+iMAUAAADglVoEhmqE0x3P97P2qfwUW8c4T+O9KCxegQYljy/gpwQAAADAazkvgrSjJF/zC9JdjsstL9XCfGucaby+g8IUAAAAgNc6NyRGXYIiLLH3KlgE6b/56SrWiTupATJ0QWhcrecHz6AwBQAAAOC1Kto65j/5adpVkm+JOU/jHRgao0b+1lV94b0oTAEAAAB4tbERSWrkF+Bom/r9WdPjykzTZeEjpvH6FgpTAAAAAF4t3C9A10dat475NOegcv+3dcwvhZnKKC+xfP3isIQ6yw81R2EKAAAAwOvd2qi5jJPa2eWl+jznkCTXabxdgyLUMjC0DrNDTVGYAgAAAPB6rQLDNMzpLuj7Wftkmqbm5h2xxJnG63soTAEAAAD4hDucFkHaUpKnD7P3a7vTQkgjmMbrcyhMAQAAAPiEIaGx6hAYbon9OX2rpZ3kH6yzgqPqMi14AIUpAAAAAJ9gGIZua9TcEisyyy3ti8MT5GcYgm+hMAUAAADgM66KTFak4X/Krw9nGq9PojAFAAAA4DMi/QJ0TVTTCr8WZvhpUGhsHWcET6AwBQAAAOBTbotqXmH8vLB4hfqd+m4qvBeFKQAAAACf0i4oXBeGxrnEmcbruyhMAQAAAPic2522jjEkDQuLtycZ1BiFKQAAAACfc2FYvC446a7prVHNlRAQbGNGqIkAuxMAAAAAAHf5GYb+kdRdP+anKdjw14VhrlN74TsoTAEAAAD4pHC/AI2KSLI7DXgAU3kBAAAAALaiMAUAAAAA2IrCFAAAAABgKwpTAAAAAICtKEwBAAAAALaiMAUAAAAA2IrCFAAAAABgKwpTAAAAAICtKEwBAAAAALaiMAUAAAAA2IrCFAAAAABgKwpTAAAAAICtKEwBAAAAALaiMAUAAAAA2IrCFAAAAABgKwpTAAAAAICtKEwBAAAAALaiMAUAAAAA2CrA7gQAX1dUVGRp79ixw6ZMAAAAgOpz/hzr/Dm3NlGYAjWUkpJiaY8ePdqeRAAAAAAPSklJUc+ePevkXEzlBQAAAADYisIUAAAAAGArwzRN0+4kAF+WmZmphQsXOtrNmzdXcHBwnZ1/x44dlunDX331ldq1a1dn5wfgnbg2AHDGdQGVKSoqsjymNnjwYEVHR9fJuXnGFKih6OhojRo1yu40HNq1a6euXbvanQYAL8O1AYAzrguoSF09U+qMqbwAAAAAAFtRmAIAAAAAbEVhCgAAAACwFYUpAAAAAMBWFKYAAAAAAFtRmAIAAAAAbEVhCgAAAACwFYUpAAAAAMBWFKYAAAAAAFtRmAIAAAAAbEVhCgAAAACwVYDdCQComYSEBE2ZMsXSBgCuDQCccV2ANzNM0zTtTgIAAAAA0HAxlRcAAAAAYCsKUwAAAACArShMAQAAAAC2ojAFAAAAANiKwhQAAAAAYCsKUwAAAACArShMAQAAAAC2ojAFAAAAANiKwhQAAAAAYCsKUwAAAACArShMAQAAAAC2ojAFAAAAANiKwhQAAAAAYKsAuxMAUD2HDh3SihUrtHv3buXl5Sk0NFQtWrRQ79691bp1a7vTA+CDMjIytGzZMu3cuVM5OTkKDg5WcnKyevTooc6dO9udHtCg7d+/Xxs3btS+fft07NgxSVJMTIwSExPVp08fJScn18p5c3NztWzZMm3btk2ZmZkKDAxUYmKizjzzTJ111lkyDKNWzouGh8IU8DHffPONXnjhBS1dulSmaVZ4TPfu3TVp0iRdf/31/IcB+JD09HStWrVKK1eu1C+//KKVK1cqNTXVcsyUKVP0+OOPe/S8P//8s5555hn95z//UVlZWYXHtGvXTnfffbfuuusuBQYGevT8AFwdPnxYs2fP1k8//aT58+fryJEjpz2+TZs2uuWWW3T77bcrPj6+xuffsGGDnn76aX311VcqLi6u8Jjk5GTdcccduv/++xUeHl7jc6JhM8xTfbIF4FVyc3N14403aubMmVXuM3jwYH3++edKTEysxcwA1MTLL7/sKER37dpV6fGeLExLSkp033336a233qpyn27dumnmzJlq3769R3IAYLVq1Sr96U9/0sKFC1VeXu52/8jISL366qu6+eabq3V+0zT1zDPP6IknnlBpaWmV+rRo0UJffPGFzj777GqdE5AoTAGfkJubqwsvvFArVqxwu2+7du20ePFiJSUl1UJmAGrK3VkNnipMS0tLdeWVV+rrr792u29CQoIWLlzI9F6gFrz77ru66667ajzOnXfeqXfeecftfhMmTNDbb7/tdr/Q0FB9//33GjRokNt9AYnFjwCfcPPNN7sUpS1atNCrr76qDRs26NixY/rtt9/0/vvvu3xQ3LFjh8aMGVPl33oCaBgefvhhl6I0Pj5eTzzxhNauXauMjAxt375dn332mctdkKNHj+rSSy9VdnZ2XaYMNFjt2rXTXXfdpc8//1zr169XamqqMjMztWXLFn344Yc655xzXPq8++67mjJlilvneeutt1yK0oiICN1///365ZdflJaWpt27d2v27NkaOnSo5biCggJdfvnlSklJcf8NApJkAvBqs2fPNiVZXoMHDzYzMzMrPL6wsNAcO3asS5833nijjjMHUBXO/1YjIiLMwYMHmw888ID5+eefu3x9ypQpNT7n2rVrTcMwLON27drV3L9/f4XHl5eXmxMnTnTJ5f77769xLgCs3nnnHVOSGRAQYF533XXmggULqtTvvffeMwMDAy3/RgMCAsyNGzdWqX9qaqoZFhZm6d+0adPT9v/b3/7mci254oorqnQ+wBlTeQEvZpqmevTooXXr1jliLVq00MaNGxUZGXnKfmVlZerbt69Wr17tiCUlJWnnzp0KCwur1ZwBuKdv377q06eP49WpUyf5+Z2Y0OQ81dcTU3kvu+wyffPNN452ZGSkNm3apObNm5+23+jRoy13WUNDQ7Vjx45aWw0UaIimTp2qBQsW6Mknn1S7du3c6jtt2jSXZ0v/8Ic/6PPPP6+07z333KM33njD0fb399eKFSvUq1ev0/abOHGiXnvtNUfbMAytWrVKPXv2dCt3gMIU8GJfffWVLr/8ckts1qxZGj16dKV916xZ4/Kfwquvvqp7773XkykCqGWeLkzXrl2rHj16WGKvvPKKJk6cWGnfQ4cOqW3btiooKHDEJk6cqFdeeaXa+QCwKisrk7+/f7X7DxkyRAsXLnS0IyMjlZaWpqCgoFP2OXz4sFq0aGFZfffee+/Vq6++Wun58vLy1KFDBx08eNARGz16tGbNmlW9N4AGi2dMAS82ffp0S7tVq1YaNWpUlfr26NFDAwcOtMS++OILj+UGwDc5X1fCw8N1yy23VKlvkyZNdMUVV1hiM2bM8FhuAFSjolSSbrjhBks7JydH69evP22fr7/+2lKUGoahe+65p0rnCw8Pd7lLO3fuXOXm5lYxY+B3FKaAlyopKdGcOXMsMXf3Jb3xxhst7WXLllW6DxqA+s15waMxY8ac9tEAZ87Xlf3791seGwBgr+7du7vEDh06dNo+zteFgQMHqk2bNlU+p/N1oaioSPPmzatyf0CiMAW81rJly5SVlWWJDRkyxK0xnI8vLy/X999/X8PMAPiqffv26bfffrPE3L2u9O/fX4GBgZbYd999V9PUAHhIaGioSywvL++UxxcXF+unn36yxNy9LrRt21bNmjWzxLguwF0UpoCXcp524+/vr759+7o1Rtu2bZWYmGiJbdiwoca5AfBNFU3nGzBggFtjhIaGujy/znUF8B779u1ziTVu3PiUx2/btk1FRUWWmLvXhYr6cF2AuyhMAS+1ZcsWS7tFixYKDw93exznfU2dxwXQcDj/+w8ICFD79u3dHofrCuC9Tl746Li2bdue8viK/v06/xuvCuc+W7dudXsMNGwUpoCX2rx5s6XdokWLao3jvP0DHyCBhsv5utK0aVPL1jRV5Xxd2b59u8rKymqUG4CaKysr0yeffGKJde7cWS1btjxlH+frgr+/v5o2ber2uZ2vCzk5OTpw4IDb46DhojAFvNTJy65Lrhf8qnIuaPlPAmi4auu6UlRUpPT09GrnBcAz/v73vyslJcUSGzdu3Gn7OF8XmjRpUq2VgSv6BTqfOeAOClPASzkvsx4VFVWtcZz7FRQUqLy8vNp5AfBdtXVdqWhsAHVr//79euihhyyxmJgY3X333aftx3UB3oLCFPBSzhfzilbZq4qK+vEfBdAwcV0B6qfS0lJdc801Lqv5P/vss4qNjT1tX64L8BYUpoCXcl7aPSQkpFrj8B8FgOO4rgD108SJE7V48WJLbNiwYbrjjjsq7ct1Ad6CwhQAAADwUW+88YbeeustS6xZs2b65z//KcMwbMoKcB+FKeClnLeGKSwsrNY4BQUFLrGIiIhqjQXAt3FdAeqXf//735o4caIl1qhRI3333XdKSEio0hhcF+AtKEwBL+V8Ma/ogl8V/EcB4DiuK0D98f333+uPf/yjZUHD0NBQffPNNzrzzDOrPA7XBXgLClPASzlfzLOzs6s1jnO/0NDQau1bCMD31dZ1paKxAdSen3/+WVdccYVKSkocscDAQH3xxRc699xz3RqL6wK8BZ9OAS+VnJxsaTvvS1ZVzv2cxwXQcNTWdSU4OFhxcXHVzgtA1a1evVojR45Ufn6+I+bn56d//OMfGjlypNvjOV8XDh06pLKyMrfHqeh6wmcOuIPCFPBSnTp1srT37dtXrXGc+3Xu3LnaOQHwbc7XlQMHDlRrX2Pn60r79u3l7+9fo9wAVG7Tpk0aNmyYy93Jd999V1dddVW1xnS+LpSVlenAgQNuj+N8XYiMjFSzZs2qlRMaJgpTwEs5F5ApKSkuS7pXxZYtWyxt5/+AADQczteV0tJSbd++3e1xuK4AdW/Hjh0aOnSo0tPTLfGXXnpJt912W7XHregX1ps3b3Z7HOfrQseOHaudExomClPASzkvXFBaWqpffvnFrTF27typ1NRUS6xbt241zg2Ab6poQZSlS5e6NUZBQYF+/fVXS4zrClC7UlJSdOGFF+rQoUOW+OOPP65JkybVaOwOHTooODjYEnP3uiBJS5YssbS5LsBdFKaAl+rXr58aNWpkiS1YsMCtMRYuXGhp+/n56eKLL65pagB8VIsWLdSlSxdLzN3ryrJly1RcXGyJVee5NgBVc/jwYV1wwQXau3evJX7//fdrypQpNR4/KChIF1xwgSXm7nVh165dLs+Ycl2AuyhMAS8VGBioESNGWGL//Oc/ZZpmlcf4+OOPLe1+/fqpcePGHskPgG8aNWqUpf3ll18qNze3yv2dryvNmjVTr169PJIbAKuMjAwNHTrUZcr9HXfcob/97W8eO4/zdWHx4sXatWtXlfs7XxeCg4M1bNgwj+SGhoPCFPBif/jDHyzt3bt365tvvqlS33Xr1mnRokWW2NixYz2WGwDf5HwdyM3N1Ycfflilvqmpqfriiy8ssSuvvNJjuQE4ITc3V8OHD9eGDRss8euuu07vvPOOR881atQoBQUFOdqmaerNN9+sUt/8/Hx98MEHltjw4cPZKgZuozAFvNioUaNcngm75557Kr27UVZWpltvvdUSS0pKqtHiCADqhx49euiSSy6xxB577LEqrcI5fvx4FRQUONohISF68MEHPZ4j0NAVFhbq0ksvdVlbYsyYMfroo49kGIZHz5eYmKjbb7/dEnvjjTe0Zs2aSvs++uijluuHYRj6y1/+4tH80DBQmAJezDAMPf3005bY3r17ddlll51yA+zi4mJde+21WrVqlSX+yCOPKCwsrNZyBeA7nn76acsH26ysLA0fPlwHDx6s8HjTNHX//fdr1qxZlviECRPYpxDwsNLSUo0dO9blOc/hw4frs88+q7WtmZw/J5SWlmrUqFH67bffTtnnlVde0auvvmqJjRkzRj179qyVHFG/GaY7D6wBsMWVV16pmTNnWmItW7bU/fffrwsuuEDJyck6fPiwlixZopdeesnlP5F+/fpp0aJFCggIqMu0AVTB6tWrXabHnuyFF16wtAcMGKCBAwdWeGxMTIweeuihKp33gQce0EsvvWSJJSQk6J577tFll12m5s2bKyMjQ6tXr9bLL7+sFStWWI5t27atfv31V0VFRVXpfACq5pFHHtGzzz5riQUEBGj8+PEKDQ2t1pi9evWq0uM8b775pu6++25LLDIyUnfeeafGjRun1q1bKzc3V+vXr9cbb7yhH374wXJsbGys1qxZoxYtWlQrTzRsFKaAD8jJydGFF17o9nYx0u8fHhcvXqwmTZrUQmYAauqjjz7STTfd5JGxWrZsqT179lTp2NLSUo0ZM6bKz62fLD4+XgsXLnRZ4RdAzd14440uiwnV1A033KCPPvqoSseOHz++Ws+whoaGau7cuRo8eLDbfQGJqbyAT4iMjNSPP/6oyy+/3K1+5557rpYsWUJRCsBFQECAZs6cqbvuusutfl27dtXSpUspSoF66q233tITTzzh1pTh5s2ba/78+RSlqBEKU8BHREZG6ssvv9TXX3+t/v37n/bYM888Ux999JEWLlyoxMTEOsoQgK8JDAzU22+/rUWLFmnYsGHy8zv1x4I2bdro1Vdf1Zo1a9S+ffs6zBJAXTIMQ4899ph+/fVXjR071rJar7MmTZro8ccf12+//aa+ffvWYZaoj5jKC/iogwcPavny5dqzZ4/y8vIUGhqq5s2bq0+fPmrTpo3d6QHwQenp6Vq2bJl27typnJwcBQUFKTk5WT179uQOKdBA5eTkaOnSpdq+fbuysrLk7++vxMREde/eXT169PD4CsFouChMAQAAAAC2YiovAAAAAMBWFKYAAAAAAFtRmAIAAAAAbEVhCgAAAACwFYUpAAAAAMBWFKYAAAAAAFtRmAIAAAAAbEVhCgAAAACwFYUpAAAAAMBWFKYAAAAAAFtRmAIAAAAAbEVhCgAAAACwFYUpAAAAAMBWFKYAAAAAAFtRmAIAAAAAbEVhCgAAAACwFYUpAAAAAMBWFKYAAAAAAFtRmAIAAAAAbEVhCgAAAACwFYUpAAAAAMBWFKYAAAAAAFtRmAIAAAAAbEVhCgAAAACwFYUpAAAAAMBWFKYAALhpz549MgzD8vroo4/sTgvV9J///Mfysxw3blylfW688UZLn1atWtV+ovXAW2+9Zfm+Pfroo3anBMBLUJgCAIAGq7i4WHfffbejHRQUpOeee87GjOq322+/Xe3atXO0//a3v2nnzp02ZgTAW1CYAgB8SkV3K+vqNWTIELvfPjzs5Zdf1tatWx3tu+66S23atLExo/otMDBQzzzzjKNdVFSkiRMn2pcQAK9BYQoAABqk9PR0Pfvss452cHCwJk+ebGNGDcPYsWPVuXNnR/vbb7/VwoULbcwIgDegMAUAAA3Sc889p5ycHEf7pptuUlJSko0ZNQyGYeihhx6yxP785z/blA0AbxFgdwIAALgjKChI3bt3d6tPbm6uy3Ns4eHhlmfdqsLd4+G9Dh48qLfeesvR9vPz05/+9CcbM2pYrrnmGj366KPav3+/JGnp0qWaM2eORowYYXNmAOxCYQoA8CnJyclau3atW30WLFig8847zxLr3bu3FixYUK0cWrVqJdM0q9UX3uG1115TYWGhoz18+HC1bt3axowalsDAQN166616/PHHHbEXXniBwhRowJjKCwAAGpTc3FxNnTrVErvjjjtsyqbhuvnmm+Xv7+9oL1q0SKtXr7YxIwB2ojAFAAANyscff6zMzExHOykpiTt1NmjevLmGDh1qib322ms2ZQPAbhSmAACgQfnwww8t7TFjxlju3KHujB071tKeOXOmZUEqAA0Hz5gCAOBl8vPztWLFCm3dulXHjh1TQECAkpKSdPbZZ6tjx45VHic9PV2//PKLduzYoZycHEVFRalJkyYaPHiw4uPjayX3w4cP69dff9XRo0d15MgRlZeXKyEhQYmJiTrnnHMUGxtbK+etqk2bNunXX3+1xK688spaO19WVpaWL1+u7du3KysrSxEREUpISFDPnj3VqVOnWjvvcdu3b9e6deu0f/9+5ebmKigoSElJSfrjH/9Yad+MjAytX79eO3fuVHZ2tvLy8hQUFKSwsDA1btxYrVq1UocOHRQdHV3t/EaPHq077rhDpaWlkn7/uz9jxgzddNNN1R4TgI8yAQCo5+bPn29KsrwGDx5c7fF2797tMt60adMq7Tdt2jSXfrt373Z8fcuWLeZ1111nhoSEuBx3/NWzZ0/zu+++O+15Fi1aZF588cWmv79/hWP4+/ubw4YNMzdu3Fjt78HJMjIyzMcff9zs0aOHaRjGKXP38/Mze/fubb777rtmcXGxR87trkcffdSSU1RUlFlaWur2ODfccINlnJYtW1q+vmbNGvOKK64wAwMDT/n9aNmypfnGG29U63vhPNaUKVMcX8vNzTWfe+45s02bNqc896kUFBSYr7/+utmnT59T9j35ZRiG2alTJ/P22283f/jhB7OkpMTt9zJo0CDLmBdeeKHbYwDwfUzlBQDAC7z99tvq3r27PvnkE8tqsc5+/fVXjRw5UhMnTnRZGbi4uFjjx4/XoEGD9P3336usrKzCMcrKyjRv3jydddZZ+uc//1ntnMvKyvT888+rTZs2evzxx7VmzZrTrlZcXl6uVatW6c4771THjh21cOHCap+7ur777jtLe+DAgR6dxmuapv7yl7+od+/emjlzpkpKSk557N69e3X33Xerb9++OnLkiEfOv2LFCnXp0kUPP/ywdu3a5VbfBQsWqEuXLrrnnnu0cuXKKvUxTVNbtmzR1KlTddFFF+nHH390O2fnFbMXLVqk3Nxct8cB4NsoTAEAsNmzzz6rCRMmqKioqMp9XnvtNT3yyCOOdnFxsUaPHq133nmnymOUlpbqxhtv1Ndff+1WvpKUk5Ojyy67TA8//LBlIaGq2r17t4YOHeryvGdtSk1NddlqaMiQIR4bv7y8XNdff72efvrpU/5SoCJr1qzRoEGDalyMLVq0SEOGDNG+ffvc7jtnzhxdfPHF2r17d41yqA7nwrS4uFg//fRTnecBwF48YwoAgI2++uorS4GZmJioSy65RD179lR8fLxycnK0bt06TZ8+XYcPH7b0ff755zV69GidffbZmjBhgubOnev4WqdOnXTJJZeoffv2io6OVkZGhn7++WfNmDHDUgCXl5frrrvu0pAhQ9SoUaMq5Zyfn68hQ4a4PKspSW3bttV5552nM888U7GxsQoICFBaWppWrlypOXPm6OjRo45jS0pKdOuttyoxMVEjR46s8vesuhYtWuRyR7d3794eG/+RRx7Rp59+6mg3b95cI0eOVLdu3RQfH6/c3Fxt3rxZM2fOdCkAt27dqsmTJ+vNN9+s1rlTU1M1ZswYy932s88+WxdddJFatmypyMhIHTp0SL/99pu++OILS9+0tDTdcMMNLr8YCQgI0KBBg9S/f3+1atVKkZGRkqTs7GwdOXLE8bzuli1bqpXzcb1795ZhGJafzYIFCzRq1KgajQvAx9g5jxgAgLrgzc+YBgcHO577fOqpp8yCgoIK+2ZlZZljxoxx6X/RRReZM2fOdLQTEhLM6dOnnzKH7du3mx06dHAZ59lnn63y+3d+vlKS2aVLF/OHH34wy8vLT9kvPz/ffO6551yeu4yJiTFTUlKqfP7qeuCBB1zyTktLq9ZYzt+DoKAgx/O1kZGR5tSpU0/57GpRUZH50EMPVfjs7/79+6t0/or6Hv/zmWeeaS5duvSUfZ3/jj311FMu4w0dOtTcu3dvlXLZvXu3+fLLL5vt27c3586dW6U+ztq1a2c5/4ABA6o1DgDfRWEKAKj3vLkw1f8WBfryyy8r7V9cXGyeccYZLovPxMfHm5LMJk2amNu2bat0nB07djgK4uOvDh06VOWtm59//rlL/qNHjzaLioqq1N80TXPevHkuxeldd91V5f7VNWTIEMs5k5KSqj1WRcW5JDM2NtZcu3Ztlca47bbbXPo/9dRTVepb0bmPF3RZWVluvZfevXtbxujUqZNZWFjo1himaZrl5eVmfn6+2/1M0zQvv/xySw5hYWHVWpQKgO/iGVMAAGw2efJkXX755ZUeFxgYqMcee8wSM01TaWlpkqR//vOfat++faXjtG3b1mU7jm3btmnnzp2n7Weapp588klLrHv37po+fbqCgoIqPe9xF110kaZMmWKJTZs2zWMLAJ3Ktm3bLO2WLVt6/BzTpk1T9+7dq3Ts888/r5CQEEts3rx51T53o0aN9PnnnysqKsqtfs6LJF1//fUKDg52+/yGYSg0NNTtfpLrzyI/P1/79++v1lgAfBOFKQAANoqOjtaf//znKh9/ySWXVFg0DB06VBdccEGVx6lo786Knhk92XfffadNmzZZYq+99poCAwOrfN7jJk2a5HhmUZIKCwstz8h6WnFxsQ4dOmSJNW3a1KPnGDx4sC677LIqHx8bG6sRI0ZYYmvXrlV5eXm1zj9p0qRqvaecnBxLOy4urlrnr4lmzZq5xPbs2VPneQCwD4UpAAA2GjdunMLDw6t8fGhoqDp27OgSv+WWW9w6b48ePVxiW7duPW2fGTNmWNrt27fX4MGD3TrvcaGhoS6rsS5YsKBaY1XFgQMHXBY+SkpK8ug5brvtNrf7nH322ZZ2bm6uDhw44PY4hmHo5ptvdruf5FqI/vzzz9UapyaaNGniEktJSanzPADYh8IUAAAbDRo0yO0+FU1BPffcc90aIzY21nLHUlKl27447zvav39/t87prHXr1pb2mjVrajTe6WRnZ7vE3PmFQFVUp0hv27atSywrK8vtcdq1a1fhXceq6Nu3r6X96aef6u233z7tnrSeFhYW5hJzvpMLoH5juxgAAGzUrl07t/s4F5ShoaFKTk6u1jgnf/g/XUF08OBBl6mV33//vc466yy3z3tcamqqpX38WdnakJ+f7xKr7vOQFQkJCalWYVjRFj3VKUx79uzpdp/jbrrpJstetqZpasKECXr77bd10003adSoUdX6e+qOin4WeXl5tXpOAN6FwhQAABvFxMS43cf5mc7qjFHROCUlJac8tqKFaA4fPuyyt2pNpKene2wsZ2VlZS4xf39/j40fGxtbrX4VPZ97up/DqTRu3Lha55ekUaNGafTo0frqq68s8U2bNumBBx7QAw88oObNm2vgwIHq06eP+vfvr169eikgwHMfIysaq7S01GPjA/B+TOUFAMBG1Vk4qDbGqExtFo3HFRYW1trYFd2R8+T56uJncDrursTr7NNPP9U111xzyq+npKTos88+06RJk3TOOecoJiZGY8aM0fTp01VUVFSjc0tSQUGBS6yi6b0A6i8KUwAAUKljx47ZnUKNVPQ8aUXFkK+q6d3LsLAwffrpp5o3b56GDBkiwzBOe3xubq5mzZqlcePGqW3btnrvvfdq9ExqRT8LTz8DDMC7UZgCAIBKVXTH8aGHHpJpmh591ZaKprpmZGTU2vl81UUXXaT58+dr9+7devPNNzV27NhKn18+cOCA7rzzTo0aNUrFxcXVOm9FP4uaTE8G4HsoTAEAQKXi4+NdYr5U2FW0CnFFz83idy1bttSECRM0ffp0HThwQHv37tUnn3yi22+//ZSLPH3zzTeaMGFCtc5X0c+iotWnAdRfFKYAAKBSiYmJLrG9e/fakEn1OW9PQ2FadS1atNC1116r9957TykpKZo/f74uuugil+M++OADbdq0ye3xK9q7tVWrVtVJFYCPojAFAACVateuncvKs0uXLq1wtVtvdeaZZ1rau3fvrtYKuJCGDBmiefPm6fbbb7fETdPUrFmz3B5vy5Ytlnbr1q1rvKATAN9CYQoAACrl5+enCy64wBLLzc3VDz/8YFNG7uvTp4+lXVJS4lIQwT3PPvusy7Y769evd2sM0zS1YcMGS8z5ZwWg/qMwBQAAVTJq1CiX2HPPPWdDJtVzzjnnuMTWrVtnQyb1R1xcnBISEiyxrKwst8bYuXOncnNzLbG+ffvWODcAvoXCFAAAVMm4cePUrl07S2zx4sV65ZVXbMrIPb1793aZjrx48WKbsqkfCgsLXbYSci5UK1PRz2DYsGE1yguA76EwBQAAVRIQEKAnnnjCJf6nP/1J7733XrXHXbp0qa655pqapFYlfn5+LgXP/Pnza/283mzHjh166qmndPTo0Wr1f++991RUVGSJde/e3a0xnH8GLVq0UNeuXauVDwDfRWEKAACq7JprrtFNN91kiZWWlurOO+/UFVdcUeXnC/fv36/XXntN55xzjgYMGKDZs2fXRrouRo8ebWlv375d+/btq5Nze6Pc3Fw99thjatGiha677jrNmjVLBQUFlfYrLi7W3/72Nz344IOWuL+/v6666qoqn980Tf3000+WWEVTxgHUfwF2JwAAAHzLu+++qx07drhMwfzyyy/15Zdfqnv37ho8eLDat2+vuLg4+fn5KTMzU+np6dq4caNWr16t7du3yzTNOs/9sssuU1RUlLKzsx2xmTNn6r777qvzXLxJYWGhPv30U3366acKDQ3VWWedpR49eqh9+/aKjo5WZGSkioqKlJqaqnXr1un777/XkSNHXMaZPHmymjdvXuXzLl++XAcPHrTE/vjHP9b4/QDwPRSmAADALUFBQfrhhx80YcIEffjhhy5fX7dundcuKhQSEqKxY8fqgw8+cMQoTK0KCgq0bNkyLVu2zK1+48aN05QpU9zqM3PmTEu7S5cu6t27t1tjAKgfmMoLAADcFhISog8++ECffPKJ2rRpU6OxGjdurPHjx3sos8rdeeedlvbSpUu1Z8+eOju/NwkLC1NkZGSNxoiIiNBzzz2nzz77TIGBgVXuV1ZWps8//9wSu+OOO2qUCwDfRWEKAACq7dprr9W2bdv06aefavjw4VUucrp06aJ77rlHc+bM0YEDB/Tiiy/WcqYn9O7dW4MGDXK0TdPU+++/X2fn9yYdOnRQWlqafvjhB02aNEl9+/ZVUFBQlfp27txZTzzxhLZv367JkyfLMAy3zj137lzt37/f0Y6OjtbNN9/s1hgA6g/DtOMBDwAAUC+VlpZqzZo12rt3r9LT05WRkSE/Pz9FRkYqJiZG7du3V6dOnRQREWFrnrNnz7YsspOUlKR9+/a5dcevvioqKtKOHTu0c+dOHTx4UDk5OSoqKlJYWJgaNWqkVq1aqXv37oqPj6/ReUaNGmVZ9OrBBx+s019QAPAuFKYAAKDBMU1TvXv31q+//uqI/eMf/9D1119vY1YNx/bt29WpUyeVl5dLksLDw7Vr1y41btzY5swA2IWpvAAAoMExDENPP/20JfbCCy/YslJwQ/Tiiy86ilJJuvfeeylKgQaOO6YAAKDBGjx4sBYtWuRoz5o1y2WvU3jWgQMH1KZNGxUXF0uSYmNjtXPnTkVHR9ubGABbcccUAAA0WK+//rr8/f0d7UcffVRlZWU2ZlT/Pf74446iVJKefvppilIAFKYAAKDh6t69u2Wrmk2bNmnatGk2ZlS/bd682fL97dmzJ1vEAJAkBdidAAAAgJ2eeuopxcXFOZ4vPfnZR3hWSkqKHn30UUf78ssvl58f90kA8IwpAAAAAMBm/IoKAAAAAGArClMAAAAAgK0oTAEAAAAAtqIwBQAAAADYisIUAAAAAGArClMAAAAAgK0oTAEAAAAAtqIwBQAAAADYisIUAAAAAGArClMAAAAAgK0oTAEAAAAAtqIwBQAAAADYisIUAAAAAGArClMAAAAAgK0oTAEAAAAAtqIwBQAAAADYisIUAAAAAGArClMAAAAAgK0oTAEAAAAAtqIwBQAAAADYisIUAAAAAGArClMAAAAAgK0oTAEAAAAAtqIwBQAAAADYisIUAAAAAGArClMAAAAAgK0oTAEAAAAAtqIwBQAAAADYisIUAAAAAGArClMAAAAAgK0oTAEAAAAAtvp/+zPJRZvTSvcAAAAASUVORK5CYII=" - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "execution_count": null, + "id": "9b94b902", + "metadata": {}, + "outputs": [], "source": [ - "# Plot node pressures for specific nodes \n", + "# Plot node pressures for specific nodes\n", "node_indices = [1, 3, 5]\n", "node_names = d.getNodeNameID(node_indices)\n", "for index in node_indices:\n", " d.plot_ts(X=hrs_time, Y=hyd_res.Pressure[:, index - 1],\n", " title=f'Pressure for the node id {d.getNodeNameID(index)}',\n", - " xlabel='Time (hrs)', ylabel=f'Pressure ({d.units.NodePressureUnits})',\n", + " xlabel='Time (hrs)', ylabel=f'Pressure ({units.NodePressureUnits})',\n", " marker=None)" ] }, { "cell_type": "code", - "execution_count": 4, - "id": "0de6dbb6", - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "data": { - "text/plain": "
    ", - "image/png": "iVBORw0KGgoAAAANSUhEUgAAA6YAAAMQCAYAAAA0EXiDAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAC4jAAAuIwF4pT92AAD9QElEQVR4nOzdd3gU1foH8O9uCum9QEISIEF6771XIRQpKh3RnyhW9GK5inpVFLwWVCyogBWkd5Aaeke6QCCkk56QXnbn9wc3S2ZmU3azm9lNvp/nySNzMnPm3WTd7LvnPeeoBEEQQERERERERKQQtdIBEBERERERUd3GxJSIiIiIiIgUxcSUiIiIiIiIFMXElIiIiIiIiBTFxJSIiIiIiIgUxcSUiIiIiIiIFMXElIiIiIiIiBTFxJSIiIiIiIgUxcSUiIiIiIiIFMXElIiIiIiIiBTFxJSIiIiIiIgUxcSUiIiIiIiIFMXElIiIiIiIiBTFxJSIiIiIiIgUxcSUiIiIiIiIFMXElIiIiIiIiBTFxJSIiIiIiIgUxcSUiIiIiIiIFMXElIiIiIiIiBTFxJSIiIiIiIgUxcSUiIiIiIiIFMXElIiIiIiIiBTFxJSIiIiIiIgUxcSUiIiIiIiIFMXElIiIiIiIiBTFxJSIiIiIiIgUxcSUiIiIiIiIFMXElIiIiIiIiBTFxJSIiIiIiIgUxcSUiKzWnTt3oFKpRF8rV65UOiyLIv35vPPOO0qHZLVKSkqwbt06PPHEE2jbti38/Pxgb28v+xlnZmYqHWqd8M4778h+9lQ1xr4uWOPrycyZM0UxN2rUSOmQKqV0zErfn+ouW6UDICIisnRHjx7F1KlTcefOHaVDISKqM9LT03HlyhXcunULmZmZyM3NhaurKzw9PRESEoLOnTvDyclJ6TDJRJiYElmpZcuW4dlnnxW1DRo0CHv37jXL/RYsWIDFixeL2p588kl8//33ZrkfkaU4cOAAhg4dipKSEqVDISKq1ZKTk7Fz507s378fBw8eRExMTIXn29raomPHjnjiiScwZcoUODs7myyW9PR0nDlzRvd19uxZvfEIgmCye9Z1TEyJrNTjjz+O+fPno6CgQNe2f/9+REdHIyQkxKT30mg0+OWXX2TtTzzxhEnvQ5bhzp07aNy4sahtxYoVmDlzpjIBKSg/Px+PP/643qTU398fvr6+sLGxEbVLj+k+Pq+IqDyrVq3CqlWrcOjQIWg0mipfV1JSglOnTuHUqVN4/fXXsXTpUkyZMsWoGC5fvozt27fj7NmzOHPmDKKioozqh4zHxJTISnl4eOCRRx7Bb7/9pmsTBAErV67EwoULTXqvnTt3IjExUdTWqlUrdOvWzaT3IbI0v/76K+7evStqGzVqFD799FM0bdpUoaiIiGqXhQsXIjo6ulp9pKenY+rUqdi5cydWrVpl8IeEP/zwA7744otqxUDVw8SUyIo98cQTosQUAFauXIm3337bpAuB/PTTT3rvTVTbbdq0SXQcFBSEtWvXwsHBQZmAiIjqED8/P/Tp0wft27eHr68vvLy8cO/ePdy8eRN//fUXzp8/L7um9H3RL7/8wkXRrAwTUyIr1r9/fzRp0gS3b9/Wtd25cwcHDhzAwIEDTXKPlJQUbNu2TdRmZ2eHqVOnmqR/Mi/OfameU6dOiY7HjBnDpJTqLL6e1IyVK1fW6RXm/fz8MHXqVMyYMQNt27Yt97yPPvoIBw8exJw5c3Dr1i3R93777TcMHjzYJFMF7O3t0bp1a3Tu3Bl//vknV143I24XQ2TFVCoVZs+eLWvXN8JprF9//RXFxcWitvDwcPj6+prsHkSWKD8/H6mpqaK2Zs2aKRQNEVHt1rRpU/z888+Ij4/Hf//73wqT0lL9+/fH2bNn0aFDB9n3FixYgLy8PINisLW1Rdu2bTF79mwsW7YMp06dQnZ2Ns6ePYvvvvsO7u7uBvVHhmFiSmTlZs6cKZtHsWHDBty7d88k/a9YsULWxjJeqguysrJkbaZc8ZGIiO776quvcO3aNUybNg22toYVdLq7u2Pz5s2ybWOSk5Oxe/fuKvezYMEC3Lt3DxcuXMCPP/6IuXPnokuXLrC3tzcoHjIeE1MiKxcYGIhhw4aJ2vLz8/HHH39Uu+/Tp0/j0qVLoraGDRvK7kdUG5Vd8boU5ysREZneqFGjqrWieVBQkN4PzaVTkSrSoEEDODo6Gh0DVR/nmBLVAk888QR27NghaluxYgX+7//+r1r96hstnTFjBtTqqn+mpdFocO7cOURHRyMlJQUZGRlwc3ODr68vmjZtig4dOljUm/3SeKOiopCSkoKsrCx4eXnB19cXDz30ENq0aWPW+6ekpODs2bNISUlBamoq8vLy4OrqCh8fHzRr1gwtWrTgZuK1hNLPtVLJycm6rRGysrKgUqng4+ODcePGwcfHp0ZiMKf8/HycOHEC//zzDzIyMuDo6AhfX1+0bt0a7dq1M9vrz/Xr13H9+nUkJycjNTUV9erVg6+vL4KCgtCtWzfOVZbQarU4d+4cLl26hOTkZN3zsEmTJujZsydHraohJycHR48eRVxcHJKSklCvXj00aNAAHTp0QIsWLZQOz2RGjhyJL7/8UtRWdg0OsgICEVm9oqIiwdfXVwAg+rpy5YrRfebn5wseHh6i/lQqlXDr1q0qXb9nzx5hwoQJsj6kX97e3sL06dOFa9euGRxjVFSUrL8VK1YY3I8gCMLp06eFRx99VPD09Kww3oCAAOHJJ58UIiMjjbqPPomJicLrr78utG3bVlCpVBXe397eXhgwYIDw2WefCWlpaZX2Lb1+4cKFes9bsWJFhfetyle/fv10/e3bt6/K9zZEu3btRH36+fkJhYWF1e5XEKr/MwgJCanSfWrqudavX79yfz9arVb47bffhO7du5f7nDtw4IBR9y3L1M+rshYuXCg7t6zIyEhh5syZgpOTU7l9+/v7C++++66Qk5NT7ccqCIJw/fp14emnnxZCQkIqfEwODg7CsGHDhN27d5vkvoYy9v9NY647cOBAhc+trKws4e233xb8/f3L/Xk5OzsLM2fOFGJiYgx+rDNmzDDq/9Oy1q5dKzg4OIj6UavVwieffGJwX1VhipgFQRAuXLggPPLII4Kjo2O5P9smTZoIn3/+uVBUVGTy+9e0K1euyB5f8+bNTXoPff9vk+nwp0lUS8yfP1/2YvnKK68Y3d9vv/0m62/AgAGVXnfx4kVh4MCBBr/5tLGxEf7v//5PKCgoqHKMpkhMU1JShMmTJ1eaEEq/7OzshOeff96geKVyc3OFl156qcI3DRV91atXT4iPj6/wHlV9I2mOBKJFixai7wcGBgolJSVG/7yOHTsmu+frr79udH9S5k5Ma/q5Vl5ievfuXaFv376V3teaE9OvvvpKlkhU9NWoUSPhxo0bRj/O1NRU4YknnhBsbGyMenyxsbFG39sYVX1dMMV1FSWmhw4dEgIDA6v8s3J0dBQ2b95s0GOtbpK1ZMkS2f+zDg4Owrp16wzqxxDVjVmj0Qivv/66YGtrW+WfbZs2bXQfPFtrYnr69GnZ4+rQoYNJ78HE1Lw4x5SoltA3t+KXX35BSUmJUf0Zs+jR1q1b0aNHD+zfv9/g+2k0Gnz33Xfo378/kpOTDb7eGLdv30bPnj2xZs0ag7dBKC4uxtKlSzFkyBBkZGQYfO+YmBj06tULn332GfLz8w2+HgAKCwtRVFRk1LU14dlnnxUdx8fHY8uWLUb3980334iO1Wo1nnrqKaP7q0lKPtfKunv3Lnr27IlDhw5Vqx9L9sYbb2DevHl65wiX586dO+jduzfi4+MNvt+NGzfQvXt3/Pjjj9BoNAZfHxERgS5duuD06dMGX2vNtm3bhsGDBxv0M8/Pz8cjjzyCXbt2mTGy+zQaDZ555hm8+uqrov9nfXx8sH//fjzyyCNmj8EYWq0WM2bMwKJFiwz6+3/p0iX06tULd+7cMV9wZhYZGSlra9CggQKRkLE4x5SolmjRogV69OiB48eP69qSkpKwY8cOhIeHG9RXTEyMLLn08PCo8A/x77//jmnTpkGr1Yra7e3tMXDgQHTr1g1BQUFwd3dHTk4O7ty5g3379uHIkSOi80+cOIHx48fjwIEDsLOzMyhuQyQnJ6N3795ITEyUfa9hw4YYP348WrRoAS8vLyQnJ+PChQvYuHEj0tLSROcePnwYgwcPxrFjx1CvXr0q3TsmJgZdu3ZFUlKS7HuOjo7o06cP+vbtC39/f7i7uyM7Oxt3797F+fPncezYMSQkJBj3oCvg5eWFdu3aAQCKiopw7do10feDgoLg5eVVYR9hYWGi4+nTp+P1119Hdna2ru2bb77BuHHjDI4vLS0Na9euFbWNGDECjRo1Mriv8pT9GQCG/xwCAgL0tiv5XCtLq9Vi0qRJojlXTZo0wcMPP4zmzZvDx8cHaWlpiIqKwvr16w3uXx9zPK8q8t1332HRokW6Y19fX4wYMQJdunSBr68vCgoKEBkZiY0bN+LKlSuia5OTk/F///d/Bi2WcvXqVfTu3VvvBwZdu3ZFr1690KxZM3h6eqKoqAiJiYk4duwYdu7cicLCQt25d+/exciRI3Hu3DkEBQVV+f7W6u+//8brr7+u+2DN0dERgwYNQt++fVG/fn3Y2toiNjYWf/31F/bt2ye6tqSkBHPmzMGVK1fMtnVHbm4uJk+ejO3bt4vamzZtip07dyI0NNQs9zWFF198Eb/++qus3cXFBeHh4ejatSvq16+PrKws3Lx5Exs2bNC9Jty9exfjx49Hy5Ytazpsk1i3bp2srUuXLgpEQkZTeMSWiEzohx9+kJWYjBkzxuB+3nnnHVk/c+fOLff8y5cvy+Zx2draCq+++qqQnJxc4b3Onz8vdOrUSXa/qpQhG1vKq9VqhREjRugtE/v0008FjUaj97q8vDzhX//6l6BWq2XXvvjii5XeVxDuz93t3Lmz7Hp7e3vh1VdfFdLT0yuN/dixY8LTTz8tODg4CFFRURWeL71PVUrvTDl3d968eaJ+VCqVcPPmTYP7+eSTT2Qxbdu2zaiYqsoUPwcln2vSUt6yZabe3t7Czz//LGi12nLjrk6Zuj6mfF4Jgv5S3tLyXTs7O2HRokVCfn6+3mu1Wq3wxRdf6P35Hj9+vEr3z8nJEVq2bCm7ftSoUcLVq1crvDYxMVGYOnWq7NquXbuW+5wwJWNeF4y9Tl8pb9ky62nTpgkJCQkVXu/l5SXrY9GiRVWK2dCy1ISEBKFjx46y+/Xq1UtITU2t0j2ry9hS2v379+udKjB9+vRy/7ZotVrh22+/FVxdXUWvT8bcX0mJiYmCvb297LGfO3fOpPdhKa958adJVItkZ2cLLi4usgQxKSmpyn1otVqhcePGshfeM2fO6D1fo9EIrVu3Fp3r7Ows7N+/v8r3LCwsFIYMGSJL1Cqbd2XsG11982cdHByEvXv3Vine7777Tna9SqUSTp8+Xem1CxYskF3r7u5u0M+rVFJSkpCbm1vhOUonpteuXZP1ZejcZ61WK4SFhcneKJn7Dbwpfg5KPtekiWnpl7+/f7UWRjNWTSSmwP2511X9+X7wwQey65944okqXTt37lzZtR9//HG1H8OaNWsM6sMYSiempV//+c9/qnTfw4cPyxKusLCwKl1rSJJ36dIlITg4WBbnxIkTy/2QwxyMSUw1Go3sddKQ19vDhw+Xu1CYNSSm06dPl8XdqVMnk9+Hial58adJVMvMnj1b9qJpyMqB+lZTbdeuXbnn//nnn7Lz//zzT4PjzszMFHx8fET9vPTSSxVeY+wbXX0jtEuXLjUo3qefflrWx2OPPVbhNWlpabIPDlQqlVlX5lQ6MRUEQRg0aJCoL29vb4NG4/766y9ZPB9++KHR8VSVKX4OSj3XBKH8xHTr1q0G3d9UaioxNeTnW1RUJFt8p2HDhpVeFxcXJxudeeaZZ4x6HNIP5Uy9WIs+lpCYjh8/3qCYJ02aJOujKitWVzXJ27t3r+Du7i67x6uvvlpuZYG5GJOYbtmyRRZ7nz59DLqvvg/CrCEx3bRpk9649+zZY/J7MTE1Ly5+RFTL6FugSN9CRuX56aefqtRnqY8//lh03L9/f0ycOLHK9yvl7u6OF154QdS2ceNGg/upzIkTJ3D27FlRW5s2bWQL9VRm0aJF8PT0FLWtW7dO77zRUl9//TVycnJEbU899RSGDh1q0L2tzbx580THaWlp+PPPP6t8vXTRIzs7u0oX4rIESj7XyjNgwACMGjXK4OusRZMmTQz6+drZ2WHy5Mmitri4uEoXYPvss89EC4+5ubnho48+MizY/3n77bdFx+fPn0d0dLRRfVkLtVqNxYsXG3TN1KlTZW3S/7+MtXLlSowYMQJZWVm6NhsbGyxbtgyLFy+2qL22y/Ptt9/K2qR7elZmzpw5onn21uDWrVuYOXOmrH3atGkYPHhwzQdE1cLElKiW6dmzJ5o3by5qu3LlCk6dOlXptffu3cOGDRtEbfXq1cOUKVP0nn/nzh3ZG4M5c+YYGPEDDz/8sKx/U79B27Nnj6zt//7v/6BWG/Zy6OHhgccee0zUVlxcjIMHD5Z7jXRFWpVKhVdeecWg+1qj0aNHIyQkRNSm702UPgkJCdi6dauobfz48fDz8zNZfOai5HOtPNaQ0FfH7NmzDf75du3aVdZ2/fr1Cq+RLrIyadIkuLq6GnTfUj179oSHh4eozZjfrTUZOHCgwQsIGfN7qoq3334bs2bNQnFxsa7N2dkZmzdvxty5c6vdf00oLi6WLVjYtWtXg5NMtVqNJ5980pShmVVmZiZGjRqFzMxMUXuTJk3w1VdfKRMUVQsTU6JayNhR0z/++EO2dcnYsWPLXTUzIiJC1tarV68qRinXuHFjWdv58+eN7k+fo0ePytqMXfZ/0qRJVeofuJ/0Sx9Ljx49DFpx1FrZ2Njg6aefFrUdO3YMFy9erPTa5cuXy7Y8sJY3i0o91yoyYMAAo+5vLfr162fwNfoSpLIjZ1LR0dGyD8yq87qnVqtlH9yY+nXP0hjze/L394ezs7OoraLfU2WKioowffp0/Oc//xG1169fHxEREbIPSi3Z+fPnZdsjjR8/3qi+jL2uphUUFGDMmDH4559/RO1OTk7YsGED3NzcFIqMqoPbxRDVQtOnT8cbb7wh+gR49erV+Oyzz+Dg4FDudYbuXarvjfHYsWMNC7YSqampJu3v3LlzouOGDRuifv36RvXVqVMnqNVq0RY50v5LnTp1SrbHYXXezFqbOXPm4N133xW9efrmm29kZbplaTQaLF++XNTWsmVLo97UKkGp51p5/P39y93SprZo2rSpwdfo23KkooRH3+ve+++/j88//9zge5eS7r9o6tc9S2PM7wm4/7vKzc3VHRubmGZmZmLcuHGykemWLVtix44dsg8KLJ2+kuZOnToZ1VeDBg3QoEEDvdtbWYri4mJMmDBBth+zvb091q9fb3XlyPQAE1OiWsjPzw+jRo0SzdHMzMzEhg0b8Pjjj+u95urVqzh58qSoLSQkBIMGDSr3PnFxcbK2CxcuGBm1ftK9HKtDEARZfy1atDC6PxcXFwQFBYlGT8p7Q6lvPmCbNm2Mvre18fHxweTJk7Fq1Spd26+//orFixeXWwK5ZcsWxMfHi9qkI6+WSsnnWnmsofy5uirbE1Ufffsll/1QT0rf696tW7cMvm9FTPm6Z4mM+T0B8t9VRb+n8mRnZ6Nnz56yPXUHDBiADRs2yMqqrYG+OdHNmjUzur/mzZtbbGKq0WgwZcoU2R6ztra2+OOPPzB8+HCFIiNTYCkvUS2lb6RT38JGFX1v1qxZFc7Xqok3T9LS4uq4d++eaMQJQLXfhEgXpUlPT9d7nr526bW1nXRRmpycHPz222/lni+dh+rk5ITp06ebJTZTU/K5Vp66UNqmL8k0NWt73bNENfF7Kk96erosKe3SpQt2795tlUkpANkcS0B/JUBVVedac9JqtZgxYwbWrl0raler1Vi1apXVlCFT+ZiYEtVSw4cPl5Xt7d+/X+9iQiUlJfj1119FbWq1Wu9Kd2VlZGRUO86alJ2dLWuTzlkylPR6ffcA7icqUi4uLtW6t7Xp0qWLbAGT8kp5IyMjZYsHPf744xb7hklKyedaeWxtWSRlCtb2ukdi+v4/OHPmDJYtW6ZANKZh6teb6r5WmYMgCJgzZ47sw0yVSoWffvqp3Gowsi5MTIlqKRsbG1liKQgCVq5cKTt3+/btslLTQYMGVTrPxtHRUdaWn58P4f4eySb5eueddwx96OXSVzJadr6SMaTXl1eWqm+0Srp1TF0g3Trm4sWLOHbsmOy87777DoIgiNqspYwXUPa5Rual73Vv586dJn3dq+2r8iopMDAQy5YtE20BIwgCXnzxRXzwwQcKRmY8U7/eVPe1ytQEQcD//d//ydbBUKlU+P777zFjxgyFIiNTY2JKVIvNnj1btv/aqlWrZG/4Dd27tJSPj4+szdDywprk5uYmK03WVwJlCOn15c2d8vb2lrXVxZGXSZMmwdfXV9QmHTUtLCyUvQHp0qWL0Yt5KEHJ5xqZl7W97pHc3LlzsWrVKtjY2Ija//3vf+O1115TKCrj6StBrs6KxdW51tQEQcCzzz4rWwhPpVJh2bJl1dqijiwPE1OiWiw0NFS2gmlUVBQOHDigO05KSsKOHTtE53h5eVVpdV1/f39ZmyVvDK9SqWRvKqVzjQyRm5uLmJgYUZu+N60A9K7GWpXtUmqbevXqyfbJW7dunWje3tq1a2Xz+Kxli5hSSj7XyLys7XWP9Js2bRr+/PNP2Nvbi9o//vhjzJs3T/YBriXTt7BZdfZ4lW7BoqTnnntO75SPL7/80qqqaKhqmJgS1XKV7Wn6yy+/yPaJnDJlCurVq1dp3926dZO1SZdvtzQdO3YUHcfFxeldMbcqzp49K1vgprxRvS5dusjmNhmzD2Vt8PTTT4tGKgoKCkTPSembEE9PTzz66KM1Fp+pKPVcI/Oyxtc90m/8+PHYsmWLrDz766+/xuzZs2VbfFkqfa8F+raQqYq7d+9azIq8L7zwAr7++mtZ+xdffCFbTI9qByamRLXcI488IlswZv369brFeAzdu7SsIUOGyNo2bNhgRJQ1p2fPnrK2devWGdWXdGXA8voH7s8BkiYqJ06ckO1faAn0LQ5iyjdoQUFBCA8PF7WVzinVN+d0xowZeuf1WTqlnmuWytzPq5rStm1b2QjVoUOHav0WL7XVsGHDsGvXLtk8zZUrV+Kxxx4zakuamta+fXvZHuVlt4szxPr1600RUrXNnz8fS5culbV/+umneP755xWIiGoCE1OiWs7R0VG2Wl1+fj7++OMPnDx5ElevXhV9r1OnTlXenLply5ayjdJPnTqF/fv3Vy9oMxo2bJis7fvvv5eNRlUmKysLv//+u6jNzs4OAwYMKPeacePGiY4FQcCSJUsMum9N0LeQhqkXapIughQZGYm9e/fKtogBrGvRo7KUfK5Zopp4XtUElUol+2AlLy8PX3zxhUIRUXX17dsX+/btk83bXrt2LcaNG4eCggKFIqsae3t7DBw4UNR28uRJXLp0yaB+BEHAjz/+aMrQjLJgwQJ8+umnsvYlS5bgpZdeUiAiqilMTInqgPLKeY1d9KisN998U9Y2Z84ci10MpGvXrujcubOo7eLFi3oTooq8+eabssc4adIkvXN9Ss2dO1e2Ou/y5cvx119/GXRvc3N1dZWNbt2+fduk9xg4cCBatmwpaluyZIls26KBAwdWa6N4JSn5XLNENfG8qimvvfaa7LF8/PHHOHnypEIRUXV16dIFBw8elK0HsH37dowcOdLiP0TR9wGeoSOLP/74I86fP2+qkIzy1ltvYfHixbL2RYsW4ZVXXlEgIqpJTEyJ6gB9o6AnT57EL7/8ImrTN7pamalTp6J58+aitqioKIwcORIJCQlGxXvv3j0sXrxYlqSYyssvvyxre+WVV6o8T+ynn36S7XmnUqkq/STX3d0dL7zwgqhNEARMnjzZqO0hkpOTkZeXZ/B1lVGr1bKkcffu3QaP9FVGOkdoz549sv34rHW0tJRSzzVLVFPPq5oQGhqKWbNmidqKioowZswYvdsfVYVGo8Hq1av1fthHNaNNmzY4dOgQgoKCRO0HDhzA0KFDq72ytjmNHDkSYWFhoraDBw/i9ddfr9L1x48fx4svvmiGyKruP//5D95//31Z+wcffGCVqyWT4ZiYEtUR+kZC8/PzRcfjx4+XzUetjI2NDdauXSsr0zt58iQ6dOiAZcuWVakMqqSkBHv37sVTTz2F4OBgLFiwAHfv3jUolqp67LHHMHLkSFFbfn4+Ro4cia+++qrcN8oFBQV4/fXX8eSTT8pWbHzxxRertBjNW2+9he7du4vaMjMzMWzYMLz22mtV2kLm1KlTeOaZZ9CoUSMkJydXer4xpPMXr1+/jjlz5ph09dHp06fr3d+1VP369au0OrQlU/K5Zolq4nlVUz799FO0adNG1JaUlIT+/fsb9Pp14cIF/Pvf/0ZYWBgee+wxXLhwwRzhUhU1bdoUR44ckSV5x48fx8CBA5GSkqJQZBWzsbHB999/L9si7qOPPsLs2bPL/dsiCAJ++OEHDB8+XLd/qRJz+pcsWYK3335b1v7ee+/hjTfeqPF4SBnylQiIqFaaMmUKXn31VRQWFpZ7jqFlvKVat26N3377DePHjxet8JucnIxnn30Wb775Jvr164du3brBz88P7u7uyM3NRWZmJmJiYnD27FmcP39etyBTTVixYgXat28vWn0wNzcXzz33HJYsWYLx48ejRYsW8PDwQGpqKv7++29s3LgRqampsr46duyIRYsWVem+dnZ2WLt2Lbp27Sq6d1FRET7++GMsXboU/fr1Q58+fVC/fn24ubkhOzsbSUlJ+Pvvv3Hs2DHExsZW/wdQidmzZ8tKTlesWIEVK1bA19cXvr6+sLOzE32/c+fO+OGHH6p8DxcXF0yfPh1fffWV3u/PmTNHdg9rpNRzzRLVxPOqpri4uGDLli3o3r27aLXl4uJiLF68GJ9//jl69OiBPn36oGHDhvDy8kJRUREyMzNx9+5d/P333zh79qzFrIBKDwQHB+Pw4cMYMmQILl++rGs/f/48+vXrh7179yIgIEDBCPUbMGAA5s2bhy+//FLUvmLFCqxbtw7h4eG6v8PZ2dm4ceMGNmzYgFu3bunObd++PVq1aoXffvutxuKOi4vDv/71L1m7ra0t1q9fX+0Fmf7+++8qn1tZtZe+77Vv377CPnfs2GGRzxeLJBBRnfHoo48KAPR+NWnSRNBqtdXqPyIiQqhfv3659zD0a8mSJRXeLyoqSnbNihUrqhxvZGSkEBYWVq0Ye/fuLaSnpxv8s4qJiRHatWtX7Z9RVFRUhfeRnr9w4cIqxzhz5kyDYunXr5/BP4dr164JKpVK1peNjY0QExNjcH+mVN3nV1lKPNf69etX7d+POZjqebVw4ULZucao7u85JiZG6Natm8le9x5++GGjHochjH1dMOa6AwcOyK47cOCAUXGHhISI+pkxY0al18yYMUN0TUhISJXvl5qaKnTu3FkWf5MmTSp97a2O6sSs0WiEKVOmGPXc8/f3F6Kioqp1f2Po+3/QlF+GkD7HTPFlzudKbcNSXqI6pKIR0dmzZ8tKgAzVt29fnDt3DlOnThXtU2kolUqFAQMGoE+fPtWKpzKhoaE4duwYJk2aZPBjt7Ozw3PPPYc9e/bA09PT4HsHBQXh6NGjeO6556q0Z6w+bm5usi0CTOnbb7/FCy+8ALXafH8qmjdvjkGDBsnaH374Ydk8L2um5HPN0tTE86omBQUF4dChQ3jrrbcMngoh1aJFC0yePNlEkVF1eXt7Y9++fbK/Rbdv30afPn1w/fp1hSIrn1qtxqpVq7BgwQK9WzSVp2XLljh69CgaNWpkvuCIKlE7/ioQUZUMGjRI7x8dtVqNGTNmmOQeDRo0wC+//IKbN2/ixRdfRIsWLap0naurK0aNGoXPP/8cUVFR2L9/v96N7E3N19cXa9aswalTpzB58uRK3/g3aNAATz75JK5du4alS5dWKzF0dnbG0qVLcfPmTbz00kuyrXf0cXJywogRI7B8+XIkJCTIVpA0pXr16uHzzz/HnTt3sHjxYowfPx7NmjWDt7c37O3tTXYf6cq1wP0VjGsbJZ9rlqSmnlc1yd7eHu+99x6io6Px0UcfoUePHlVKCuzs7NCrVy8sXLgQp0+fxtWrVzFt2rQaiJiqys3NDbt27cLQoUNF7XFxcejbt69Fzgm2sbHBRx99hDNnzmD8+PEVvnaEhIRgyZIlOH/+PEJDQ2swSiI5lSBIVlUgIjKxpKQknDt3DqmpqUhLS0NOTg6cnZ3h5uaGwMBANG/eHCEhIdUesTUFjUaDM2fO4M6dO0hJScG9e/fg4eEBPz8/PPTQQ2jbtq1Z7x8dHY2LFy8iJSUFqamp0Gg0cHV1hb+/P5o1a4bmzZtb7Zt3fTQaDRo3biyaN9ukSRNERkZaxPPBnJR+rpF55ebm4vTp00hMTERaWhoyMzPh4OAAV1dX+Pn5oVmzZmjatGmtmEdNli07OxtHjx5FXFwckpOTYWdnh4CAAN18UiJLwcSUiIgUs3XrVoSHh4vaPvroIyxYsEChiIiIiEgJTEyJiEgxQ4cOxZ49e3THDg4OiImJga+vr4JRERERUU3jHFMiIlLE6dOnRUkpADz++ONMSomIiOogjpgSEVGNKykpQa9evXDq1Cldm0qlwoULF9CmTRsFIyMiIiIlcMSUiIhq1PXr1xEeHi5KSgHg0UcfZVJKRERUR3HElIiIzKp9+/YAAK1Wi4SEBKSlpcnOcXFxwcWLF9G4ceMajo6IiIgsQdV33iUiIjJCVfb5W7p0KZNSIiKiOoylvEREpBh7e3t88cUXmDVrltKhEBERkYI4YkpERDVGpVLBxcUFoaGhGDhwIJ5++mk0bdpU6bCIiIhIYUxMySyuXbuGc+fOITExEYWFhXB1dUVoaCh69OgBLy8vpcMjohrEpQyIiIioMkxMLVhaWhrOnDmD06dP49SpUzh9+jTu3r0rOmfhwoV45513lAlQori4GN988w2WLl2KW7du6T3HxsYGQ4cOxRtvvIHevXvXcIRERERERGSJmJhamE8//VSXiN6+fVvpcKrs5s2bGD9+PC5fvlzheRqNBjt37sTOnTsxb948fPrpp7Czs6uhKImIiIiIyBIxMbUw8+fPVzoEg127dg19+/ZFamqqQdd99dVXiI2Nxbp162Bry6ciEREREVFdxVV5qVru3buH0aNHy5LSbt26YfXq1bh58ybS0tJw/vx5LFy4EN7e3qLzNm/ejDfeeKMmQyYiIiIiIgvDxNTCubi4oF+/fnjllVewZs0apcOReffdd2XzSV966SUcP34ckydPRlhYGLy8vNC+fXu88847+Pvvv9GqVSvR+Z988gkuXrxYk2ETEREREZEFUQlcLtGidOvWDV26dNF9NW/eHGr1g88PVCqV6HwlFz+Kj49HWFgYCgoKdG1jx47Fxo0bK7wuNjYWrVq1QnZ2tq4tPDwcmzdvNlusRERERERkuTixz8KcPHlS6RCqbMmSJaKk1NHREcuWLav0uqCgILz33nt46aWXdG1btmzBhQsX0K5dO7PESkREREREloulvGQUQRCwdu1aUdvEiRPRoEGDKl0/e/ZsODs7i9qk/RERERERUd3AxJSMcubMGSQkJIjaZsyYUeXr3dzcMG7cOFEbS3mJiIiIiOomJqZklJ07d4qO7e3t0bNnT4P66N+/v+j48uXLiImJqW5oRERERERkZZiYklGkq+h27NgRDg4OBvXRq1cvWdulS5eqFRcREREREVkfLn5ERvnnn39Exy1atDC4j6ZNm8LGxgYajUbU78MPP1zt+IyRmZmJiIgI3XFQUBDq1aunSCxERERERDWtsLAQsbGxuuN+/frBw8OjRu7NxJQMptFocPPmTVFbcHCwwf3Y2NggICBA9OSXJrw1KSIiAmPHjlXs/kRERERElmTTpk0YM2ZMjdyLpbxksNTUVBQVFYnagoKCjOpLmtDGx8cbHRcREREREVknjpiSwXJycmRtbm5uRvUlvU5f38ZITk5GSkqKQddw4SUiIiIiImUwMSWD6UseHR0djepLep2pEtNly5bh3XffrVYfmzZtQlhYmEniISIiIiKydJGRkaKpbcZWRRqDiSkZLDc3V9Zm6Iq8pcyVmJpCWFgYWrVqpXQYRERERESKqMmFQDnHlIiIiIiIiBTFEVMymLOzs6ytoKDAqL7y8/NFxy4uLkb1I/XMM89g4sSJBl0jLV0gIiIiIqKawcSUDKYveZQmmFVlrsTUz88Pfn5+JumLiIiIiIjMi6W8ZDB9yeO9e/eM6kt6nakSUyIiIiIish5MTMlgPj4+sLe3F7XFxsYa1Zf0uoCAAKPjIiIiIiIi68TElAxmY2Mj20bFmD1ANRoNEhISRG0tWrSoVmxERERERGR9mJiSUaQJ5LVr1wzuIzIyEiUlJaK25s2bVysuIiIiIiKyPkxMySht27YVHZ87d87glXmPHDkia2vTpk214iIiIiIiIuvDxJSMMmLECNFxUVERjh8/blAfERERouPWrVsjODi42rEREREREZF1YWJKRuncubNsoaJVq1ZV+frs7Gxs2LBB1DZmzBiTxEZERERERNaFiSkZRaVSYeLEiaK2tWvX4u7du1W6fsWKFcjNzRW1TZgwwWTxERERERGR9WBiSlCpVKKv/v37V+m6V199FQ4ODrrjvLw8zJs3r9Lr4uLi8NZbb4nawsPD0b59e0PCJiIiIiKiWoKJKRktMDAQzzzzjKht/fr1ePXVVyEIgt5r4uLiMGLECNy7d0/XplKp8J///MessRIRERERkeWyVToAEjt79izWrl1b5fP37t1b7mq4np6eWLBggalC02vhwoXYtGkTbt++rWv75JNPcOTIEbz88svo1KkTPD09ERMTg82bN+PLL79EamqqqI/58+fLVvklIiIiIqK6g4mphbl06RI+/vjjKp9/9OhRHD16VO/3QkJCzJ6Yurm5YcuWLejXrx/S0tJ07SdOnMCkSZMqvT48PByLFi0yZ4hERERERGThWMpL1daqVSscPXoUrVq1Mui6Z555BuvWrYOtLT8fISIiIiKqy5iYkkk0a9YM58+fx+eff44mTZqUe55arcbw4cNx6NAhfP3117Czs6vBKImIiIiIyBKphPJWqSGqhitXruD8+fNISEhAUVERXF1dERoaih49esDb21vp8PS6cuUKWrdurTu+fPmywaPARERERFT7ZFy+CZVaDY+WoUqHYlZKvh9mDSWZRatWrZjUEREREZHVO/3qf3H5k1UAgHZv/R86vveswhHVTizlJSIiIiIi0qM4OxdXv/hNd3zxwx9QkJKuYES1FxNTIiIiIiIiPfISkqEtLtEdCxoN4nYeUTCi2ouJKRERERERkR6FGfdkbbHbDikQSe3HxJSIiIiIiEiPosxsWVv8rqPQFBUrEE3txsSUiIiIiIhIjyI9I6bF2blIOnxWgWhqNyamREREREREeugr5QVYzmsOTEyJiIiIiIj00DdiCgCxWyMgCEINR1O7MTElIiIiIiLSQ98cUwDIvhWLezfu1GwwtRwTUyIiIiIiIj3KK+UFWM5rakxMiYiIiIiI9CivlBdgYmpqTEyJiIiIiIj0KK+UFwCSDp9DYWb5iSsZhokpERERERGRHhWV8goaDeJ3H6vBaGo3JqZERERERER6SEt5bRzqiY7jWM5rMkxMiYiIiIiI9JCW8gaPHSA6jttxGFqNpiZDqrWYmBIREREREUkIWi2KsnJEbaHTRouOC9OzkHL8Qk2GVWsxMSUiIiIiIpIoysoBBEHU5tW2KTzbPiRq4+q8psHElIiIiIiISELfVjH2Hm4IGtVX1Ba7LaKmQqrVmJgSERERERFJSLeCUdnawtbZEUGj+onaM6/cQnZUXE2GVisxMSUiIiIiIpKQjpjW83SFSqWCT9fWqOfjKfpe7PbDNRlarcTElIiIiIiISEKamNp7uAEA1DY2aDiyt+h7cSznrTYmpkRERERERBLSrWLsPV11/5aW8yYeOI3inLwaiau2YmJKREREREQkUSgr5XXT/TtwaA+obG11x9qiYiTsPVFjsdVGTEyJiIiIiIgkZKW8ZRJTe3dX1O/bUfR9rs5bPUxMiYiIiIiIJKQjpvYerqJjaTlv3PbDELRas8dVWzExJSIiIiIikpDOMS1bygsAQaPFiWn+3VSknbtm9rhqKyamREREREREEhWV8gKAW1gw3Js1ErWxnNd4TEyJiIiIiIgkKivlBYCGo/qKjmO3MjE1FhNTIiIiIiIiicpKeQH5PNO0c9eQG59k1rhqKyamREREREREEpWV8gKAf6/2sHcXj6TG7Ths1rhqKyamREREREREZQiCgMIM8YipvYc8MVXb2SFweC9RW+y2Q2aNrbZiYkpERERERFRGSV4+hJISUZu+Ul4ACJLMM03cewIl+QVmi622YmJKRERERERUhrSMF9BfygsAgcN7QaV+kFaV5BXg7sHTZouttmJiSkREREREVIZ0RV6oVLB3d9F7roOPJ3x7tBO1sZzXcExMiYiIiIiIypAtfOTmIhoVlZKW88ZuOwRBEMwSW23FxJSIiIiIiKgM6VYx9p7yPUzLChot3jYmNyYRGZdvmjyu2oyJKRERERERURnSUt7y5peW8mgZCpdGAaK2OJbzGoSJKRERERERURmyUl6PikdMVSoVgkaJR005z9QwTEyJiIiIiIjKkJbylrdVTFnSeabJxy+gICXdpHHVZkxMiYiIiIiIyjC0lBcA/Pt1hq2z44MGQUDcziOmDq3WYmJKRERERERUhqGlvABg61APAUN6iNpYzlt1TEyJiIiIiIjKMKaUF5CX88bvPgZNUbHJ4qrNmJgSERERERGVIRsxrWJi2nBkH9Fx8b0cJB05Z7K4ajMmpkRERERERGVI55hWdcTUqYEvfDq3ErVx25iqYWJKRERERERURlGGuJS3KnNMSzWUlPNynmnVMDElIiIiIiIqoyjTuFJeALL9TO/djEbWjTumCKtWY2JKRERERET0P5qiYpTkFYjaqlrKCwDeHVvAKcBP1MZR08oxMSUiIiIiIvof6cJHAGDvUfXEVKVSoeHD4kWQYrdFVDuu2o6JKRERERER0f9Iy3gBw0p5Afm2MUmHz6NQT7/0ABNTIiIiIiKi/5GuyGvr5AAbezuD+mgwqBts6tnrjoWSEiT8ddwk8dVWTEyJiIiIiIj+R7aHqQFlvKXsnJ1Qf2BXUVvsVpbzVsRW6QAMdfv2bZw+fRo3btzAnTt3EBsbi+zsbOTm5qKkpAROTk5wdnaGn58fQkJC0LhxY7Rr1w4dO3aEk5OT0uETEREREZEFK8qUbBXjWfWtYsoKGtUX8TuP6I7jdhyGVqOB2samWvHVVhafmCYkJGDHjh3YuXMnIiIikJGRofc8QRB0/1apVLLvq9VqtGrVCsOGDcPIkSPRu3dv2PBJQUREREREZUhLeQ1ZkbesoIf74sSzHz7oNz0LKScuwr9Xh2rFV1tZZGKak5ODtWvX4ueff8bhw4d1SWfZ5FOqbDKq7zyNRoOLFy/i0qVL+OSTT+Dt7Y3HHnsM06ZNQ+fOnU3/IIiIiIiIyOrISnmNTExdQgLg2aYpMi7d1LXFbjvExLQcFjXHNCoqCi+88AICAgIwZ84cHDp0CFqtFoIgQBAEqFSqcr/Kqui80r5SU1Px1VdfoVu3bujcuTP++OMPaDQahR45ERERERFZAumIqb2HcaW8gHx1Xm4bUz6LSEyvX7+ORx99FA899BC++uor5OTk6EY99SWVZb9sbW3h5uYGf39/BAYGwsvLC46OjnrPlSa3pW3nzp3D1KlT0bhxY3z77bcoKSlR+CdCRERERERKkM8xNW7EFAAajuonOs68HInsO/FG91ebKVrKGxcXh7fffhu//vorNBqNKBkFxCW5jRo1QpcuXdCuXTu0adMGISEhaNiwIby8vPT2XVRUhLi4OMTHx+Off/7BhQsXcOHCBZw5cwaFhYWi+5TeKy4uDs8++yyWLFmC9957D1OmTDHXQyciIiIiIgskLeU1do4pAPh2a4N6Pp4oTH2wTk7c9sNo8eyjRvdZWymSmBYXF2PJkiVYtGgR8vLyRCOZpaOYjo6OGD58OEaPHo0BAwYgJCTEoHvY29ujSZMmaNKkCfr06aNrLywsxLFjx7B3715s2LAB169fByBOhqOiojB9+nR88803+Oqrr9C+fXuTPXYiIiIiIrJcpizlVdvYoOHI3rj181ZdW+y2CCameihSytuqVSu89dZbyM3NBQBdQgoAQ4YMwerVq5GSkoL169dj5syZBielFalXrx4GDBiADz74ANeuXcOlS5fw2muvwd/fXzRiKwgCjh07hi5duuCXX34x2f2JiIiIiMhymbKUFwCCJOW8iftPoTgnr1p91kaKJKaRkZEAHiSAbm5uWLBgAW7duoXdu3dj0qRJNbbnaKtWrfDhhx8iNjYW69evR58+fUQJqlarRVRUVI3EQkREREREyjJlKS8ABA7tAZXtg0JVbVExEvadrFaftZFiix8JggBfX18sWrQIMTExWLRoERo1aqRUOLCxscG4ceMQERGBw4cPY+TIkRVuT0NERERERLVPUYZkxLQapbwAYO/uivp9O4ra4rg6r4wiiamLiwsWLlyIyMhILFiwAK6u1ftlm1qvXr2wbds2HD58GD169FA6HCIiIiIiqgGCVouiezmituqW8gLyct7YbYcgaLXV7rc2UWTxo8jISPj5+Slxa4P06tULR44cQUpKitKhEBERERGRmRVl5QCSqsnqlvICQMNRfXHq5SW64/y7qUg7dw0+nVtVu+/aQpERU2tISsvy9fVVOgQiIiIiIjIz6fxSwDQjpu5NQ+D2kHhB11iW84ooNseUiIiIiIjIkki3ilHZ2sLWydEkfesr56UHmJgSEREREREBKMqUrsjrCpVKZZK+g0b1FR2nnb2KvIRkk/RdGzAxJSIiIiIigryU1xRlvKX8e3eAnZuLqC1ux2GT9W/tmJgSERERERFBXspb3a1iylLb2SFweC9RG8t5H2BiSkREREREBKAoU7yHqSlW5C0reLR4nmnCnuMoKSg06T2slSLbxRjq888/x717Dz69eOKJJxAYGGh0f3Fxcfjpp590x76+vpg7d261YiQiIiIiIutmzlJeAAgc3gsqtVq3h2lJXgHuHjyNhsN7m/Q+1sjiE9O///4bL7/8sm7ScZMmTfDWW29Vq8+AgAD8/PPPiIqKAgCoVCoMHToUoaGh1Y6XiIiIiIiskzlLeQHAwccTvj3aIfnoeV1b7LZDTExhBaW8q1atAgAI/9vo9rnnnqv2ylhqtRrPPfccBEHQfa1YsaLasRIRERERkfUqyjBvKS8gX503btshXa5Tl1l8Yrpr1y5dIqpSqTBx4kST9Dt58mSo1WqoVCoIgoDt27ebpF8iIiIiIrJO0u1iTF3KC8gT05zoBGReiTT5fayNRSemSUlJuH79uu64Q4cOaNCggUn6rl+/Pjp37qz7dOLixYvIyMgwSd9ERERERGR9pKW85hgx9WgVBpeQAFFb7NYIk9/H2lh0Ynr16lXdv1UqFbp06WLS/jt37lzu/YiIiIiIqG6RlvKaeo4pcD+vaSgZNeW2MRaemN66dQvAg/mlLVu2NGn/LVq0EB1HRnIInYiIiIiorqqJUl5AXs6bfPwCClLrdvWmRa/KW3aLGADw8vIyaf+enp6i48zMTJP2b0qJiYk4efIkoqKikJubC0dHRwQHB6Nz585o3Lix0uGJZGdn48yZM4iKikJmZiby8/Ph5uYGLy8vtGnTBq1atYKNjY3SYRIRERER6QiCgELpiKmZEtP6/bvA1skBJXkFpTdH3M4jCJs22iz3swYWnZgWFoo3m7WzszNp/6X9lS6ulJuba9L+TWHr1q34+OOPcezYsXJX62rXrh1efvllTJs2rdorFhtLo9FgzZo1+O6773DkyBFo/7c3kz5OTk545JFH8Mwzz6B79+41GCURERERkX4lufkQSkpEbfU8zJOY2jrUQ8CQHojZfEDXFrvtUJ1OTC26lFc6opmammrS/kv7K034XF1NX0NurJycHEyYMAHh4eE4evRohUtIX7hwATNmzMCAAQOQlJRUg1Hed+XKFXTr1g1TpkzBoUOHKkxKASAvLw+//PILevTogTlz5iA7O7vC84mIiIiIzE1axguYb8QUkJfzxu86Cm1xsdnuZ+ksOjH19vYG8GBEs3TOqancvn1bdOzj42PS/o2Vk5ODwYMHY/369QZdFxERgd69e+Pu3btmikzuzJkz6NWrF86ePWvU9T/++COGDh3K5JSIiIiIFCVdkRcqFezdXcx2v4YPixPT4ns5SDpy3mz3s3QWnZg2bNhQ929BELBnzx6T9r9nzx5R6auptqKprtmzZ+PkyZOituDgYHz++ee4dOkSMjIycPXqVSxfvlzvAk7jx49HiaQMwRwyMjIwcuRIZGVlidrr16+P9957DydOnEBSUhLu3buHO3fuYNOmTXj00UehVoufdidOnMBTTz1l9niJiIiIiMpTJElM7d1coFKbL11yauALn86tRG11eXVei05MO3fuDCcnJ93x5cuXce7cOZP0ffbsWVy8eFF3bG9vj27dupmk7+rYunUr1q5dK2rr168fLl68iBdeeAGtW7eGh4cHWrRogTlz5uD8+fOYOHGi6Pzjx4/j22+/NXus77zzDlJSUkRtQ4YMwbVr1/DWW2+hW7du8PPzg6urK0JCQjBmzBj88ccf2L9/P9zcxGURq1evxpEjR8weMxERERGRPvKFj8w/zU++bUzd3c/UohNTOzs79OnTB4Ig6EY2//Wvf5mk77L9qFQq9OjRA46Ojibp21iCIOCtt94StQUHB2Pr1q1wd3fXe029evXwxx9/oFOnTqL2Dz74AHl5eWaLVaPR4LfffhO1BQUFYcOGDfDw8Kjw2n79+mHlypWydml/REREREQ1paa2iikraFQ/0fG9G9HIunHH7Pe1RBadmALA448/rvu3IAg4cOAAXnnllWr1+corr+DAgQNQqVS6RYXK3kcpmzdvxoULF0RtX3zxRaWLMtnY2GD58uWitrt378raTOn8+fNIS0sTtT333HNwcalaHf64ceNkZcgHDx40VXhERERERAaRlvLWq4HE1LtDczg28BW1xW0/bPb7WiKLT0ynTJmCsLAwANAlkp999hmmT5+OnJwcg/rKycnBtGnT8Nlnn4nmljZq1AizZs0yadzG+PPPP0XHjRo1wpgxY6p0bYcOHdC7d29Rm7Qk2JTi4+NlbX379tVzZvmk5yckJFQrJiIiIiIiY8nmmHqYv5RXpVYj6OE+oraYrQfNfl9LZPGJqVqtxqJFi3Qjm6XJ6W+//YawsDC8++67la7WGxkZiYULFyIsLAy///67rq/SEuGPPvoINjY2Zn8sFSkuLsaOHTtEbYbuSzpz5kzR8fHjx5GcnGyK8GT07fnq5eVlUB+lqy6XKioqqlZMRERERETGKsyUzjE1/4gpADSUlPMmHT6PQj1b19R2tkoHUBWPPPII5s+fj//+979QqVS65DQ5ORnvvfce3nvvPfj6+qJNmzbw9PSEi4sLcnJykJGRgUuXLukW6Cmb3Jb+d/78+bLFg5Rw/Phx2eq2/fv3N6gP6flarRa7du3C9OnTqxmdnK+vr6wtIyPDoD7S09NFx/Xr169WTERERERExlKilBcAAgZ1g009e2gK7w/SCCUlSPjrOBpPGlYj97cUVpGYAsDixYuRkJCAP/74Q5ecAg+SzeTkZOzfv192Xen3AYhGHwVBwLRp07B48WIzR141ZVcIBu7PGzV0leDQ0FD4+/sjKSlJ13bp0iWTxCfVqVMn0RxdADhy5Ai6du1a5T6kq/D26tXLZPERERERERlCiVJeALBzcUL9AV0Qv+uori12W0SdS0wtvpS3lEqlwm+//YbFixdDrVaLRj/LjqJKv8p+H7ifkNra2mLp0qVYtWqVkg9J5J9//hEdBwcHw9nZ2eB+pAsKSfs1FS8vLwwdOlTUtnTpUuTn51fp+m3btuHy5cuitieeeMJk8RERERERGaJIoVJeQL46b9yOI9BqNDV2f0tgNYlpqVdeeQV///03Hn30UV2Cqi9JlSajgiDAxsYG06dPx8WLFzFv3jwlH4bMtWvXRMfBwcFG9RMUFCQ6NldiCgDvv/++aG5udHQ0JkyYgOzs7AquAk6cOCErL54wYQIGDBhgljiJiIiIiCpTqFApLwAESfYzLUzLRMpJ81Q+WiqrS0wBoFWrVvj9998RGRmJr776ChMmTEBAQABsbW1Fo6W2trZo2LAhJk2ahGXLluH27dtYuXIlmjVrpvRDkJGuSCtNMKtKmtDqWz3XVDp37owvvvhC1LZjxw60bt0an3zyCS5evIicnByUlJQgJSUFf/31F2bPno0+ffqI5qP27t0bK1asMFucRERERESVKcpQbsTUJSQAnm2aitritkXU2P0tgdXMMdUnJCQEzzzzDJ555hldW05ODu7duwc3N7cq76lpCaRb37i5Gfc/gvS6/Px8aLVaqNXm+Qzi2Wefha+vL+bOnatbzCgmJgavvvoqXn311QqvdXJywosvvoiFCxfC3t7epHElJyfrFr2qqsjISJPGQERERETWQzpiWlNzTEsFjeqLjEs3dcex2w6h04cv1GgMSrLqxFQfFxcXq0pIS0kTU0dHR6P60XddTk6O0YluVUyaNAnDhg3Dd999h5UrV8rKkqVUKhXmzp2Ld955R+/qvqawbNkyvPvuu2bpm4iIiIhqF01hETT5BaK2mizlBe5vG3Nx0Y+644xLN5ETnQCXkIAajUMpVlnKWxtJ9wV1cHAwqp/yElNzO3nyJCIiInD79u1KzxUEAcuWLcPgwYOxdu1as8dGRERERFQR6cJHQM2W8gKAb7c2qOftAQCwcaiHhg/3RXF2bsUX1SK1bsSUalZKSgpmzZqF7du3i9pdXV3Rq1cvNGrUCE5OTkhPT8fff/+NixcvQqvVAri/Rc6kSZMwYcIE/Pzzz0aPEhMRERERVYe0jBcA7D1qNjFV29igy5KX4eDriQYDu8LWqW69N2ZiaiGcnZ2RmZmpOy4oKCj/5Aro267FXKXNycnJ6N+/v6h018XFBYsWLcKcOXP0jvreunULb775JtasWaNrW7duHe7du4cdO3aIVvmtjmeeeQYTJ0406JrIyEiMHTvWJPcnIiIiIutRlClOTG2dHGBjb1fjcTSdNbbG72kprD4xjY2Nxfnz55Gamoq0tDRdYvb2228rHJlhXFxcRIlpVfcDlarJxHT69OmipNTT0xOHDx9Gq1atyr0mNDQUq1evRqtWrUS/o7/++gtLlizBa6+9ZpLY/Pz84OfnZ5K+iIiIiKh2K5IufFTDZbxkpYlpQkICPv30U2zcuBF37tzRe05Fienvv/+Ou3fv6o779OmDLl26mDpMg0iTx3v35OUEVSG9ztHR0Swr8u7YsQO7d+8WtS1fvrzCpLSst956C8ePH8fOnTt1bR999BHmzZtnlYtXEREREZH1UnpFXrKyxFSj0eCNN97A0qVLUVRUBEEQ9J6nUqkq7Cc+Pl40Mjdw4EDs2bPHpLEaKiAgAP/884/uODY21qh+pNcFBJhnFa/vv/9edNy8eXM88sgjBvXx73//W5SYZmVlYdOmTZg6dapJYiQiIiIiqgrp4kc1vSIvWdGqvKmpqRgwYAA++eQTFBYWQhAEqFQq2VdVPP3007rtUwRBwIEDB4xOBE2lefPmouOYmBij+pFe16JFC6NjKo8gCDh06JCobfjw4Qb30717d3h4eIjajh07Vp3QiIiIiIgMxlJe5VlFYlpUVITw8HAcOXJElJAKgiD6qipXV1dMmjRJd40gCNi0aZOZoq8aaQIZGxsr20KmKsqOugLyhNcUsrKykJGRIWpr3Lixwf2o1WqEhISI2uLj46sVGxERERGRoWSlvExMa5xVJKYvvPACTpw4IUpIvb298Z///Afnzp1Deno62rVrZ1CfkyZNAvCg7Hfv3r0mj9sQbdu2FR2XlJTg1KlTBvVx69Yt0dxZAGjTpk21Y5PKy8uTtRm71YuTk5PouLCw0Kh+aoPIX7bi3NtfI+XkRQj/21KHiIiIiMyvKENcyss5pjXP4ueYXr9+HT/88IMuIVWpVBgyZAjWrl2rK8c1Rv/+/eHm5obs7GwIgoCIiAgTRm24Hj16wN3dHVlZWbq2gwcPYsCAAVXuQ/oY1Gq1USW2lfH09JS1paamGtVXSkqK6Njb29uofmqDG9+vQ9KR87jwn+/g4OeFhiP7IGhUXwQM6QF7Ny4IRURERGQu0u1iOMe05ln8iOmiRYug0WgA3B/d7NSpE7Zv316tpBQAbGxs0KFDB105b3Z2ttHzOk3Bzs4OI0eOFLX98ssvBpUor1q1SnTco0cPs2yZ4ujoKPv5nzx50uB+UlNTcevWLVFbgwYNqhWbtSpIy0TysQsPjpPTEblyMw5MmI8/fPpi95CncOWLX3HvlrJzoYmIiIhqI5byKs/iE9Pt27frRksB4IcffoCtrWkGejt16iQ6ls7PrGml5cWloqKisHXr1ipde+HCBdmCRBMnTjRZbFI9e/YUHf/1119ISkoyqI9Vq1bJEu++fftWOzZrFL/7aLnlu9riEiTsPYFTLy7G+rCHsaHFGJx65RMkHjwNbXFxDUdKREREVPuwlFd5Fp2Ynj9/HmlpaQDuj5b27t1bNhezOoKDg0XHSi+8M2bMGNnje/7555GTk1PhdRqNBnPmzBG11a9fH08++WSV7itd2bh///6VXiMd3c3Pz8eLL75YpfsB95PuDz/8UNTm6OhYpXvXRl7tmqH1qzPh3qJJpedm/ROFK//9GbsGPIE/fPvj4KP/wq1ft6EgNaPSa4mIiIhIjqW8yrPoxPTmzZui40GDBpm0f+lWJffu3dN/Yg1RqVR4//33RW3R0dEIDw8vN7aioiJMmTIFZ86cEbW/+eabsoWFTGnWrFnw9fUVta1evRpPPfVUpQsYXbp0CUOGDEF6erqo/bnnnqt2iba18mwVhi6LX8b4q5vwSOR2dPtiAQKG9IDaruLqgKKsbESt2YVD097Aav8B2N57Bi5+9CMyLt80qAyciIiIqC6TjZgyMa1xFp2Yli6MU/oGu1GjRibt39nZGcCDlXmN2Z7F1EaPHo1HHnlE1HbgwAG0bdsWX375Ja5evYrMzExcv34dP/30Ezp06IA1a9aIzu/Roweefvpps8bp4uKCxYsXy9qXL1+Opk2bYtGiRTh9+jSSk5ORk5ODmJgYbN68GTNmzECnTp1kc0sbNWqE1157zawxWwu30CC0fH4Khv31HR5PO4wB6z9F01lj4eDnVeF1glaL5KPncfb1L7CpzSNY22g4jj/7AeJ2HkZJQd1d7ZiIiIioIlqNBkVZLOVVmkWvyisdJXRxMe3KpKUr4Jau9mvq/o21YsUKxMbGiraLiY6OxvPPP1/ptaGhoVi/fr3J5uFWZObMmYiMjMQHH3wgao+NjcUbb7yBN954o0r9+Pj4YOfOnXpX+63r7Fyd0Wj8YDQaPxiCVovUM1cQt/0QYrcdQtq5axVemxuTiH+WrcE/y9bA1skBDQZ3R9Covmg4sg+cA/1r6BEQERERWbbie/LBKZby1jyLHjGVJiplt1IxheTkZNGxpWxV4urqir1792LcuHEGXdenTx8cPXq0Rle2ff/99/HLL7/A3d3dqOsHDBiA8+fPo3nz5iaOrPZRqdXw7doGHd59FuFn12BS3B70/P5tBIX3h62TQ4XXluQVIHbLQRx76j382XAINnechHNvf430SzdqKHoiIiIiy1SUIZ8yx1LemmfRiWnpHMbSUtvYWNNulSHd4sTHx8ek/VeHq6srNmzYgM2bN8tWwJVq27YtVq5ciYiICPj71/xI2NSpUxEZGYmPPvoIzZo1q/R8BwcHjBo1Cjt37sS+ffvQsGHDGoiy9nEO9EezJydg8OaleCztMIbsXIbmzz4K5+DKP5hIP/8PLvznO2xuNxH/fPtnDURLREREZJmkW8Wo7Wxh6+SoUDR1l0WX8oaEhIiOjdkrszyFhYWIiIgQbUXTsWNHk/VvKuHh4QgPD0dCQgJOnDiBO3fuIDc3F46OjggKCkKXLl3QpEnlK7lWxBSL5Pj4+GDBggVYsGABUlNTcfr0acTHxyMzMxOFhYVwc3ODp6cnmjVrhvbt28POzq7a96QHbB3qoeHw3mg4vDe6f/k6Mq9EInbb/ZLflOMXyt2KBoKAs28sxUNPjIOavxMiIiKqg6QjpvYerrqBMao5Fp2YduzYER4eHsjKyoIgCNi/fz/S0tJMUnL7008/ITMzU/eka9GihWyVWUsSEBCA8ePHKx1Glfj4+GDEiBFKh1FnqVQqeLZuCs/WTdH2tSdQkJaJ+F1HEbstAvE7j8om9xdl3MPdiLMIGNxdoYiJiIiIlCPdKoZlvMqw6FJetVqNwYMH60b0ioqK8Mknn1S738TERLz77ru60VKVSoVhw4ZVu18iS+Tg7YHQKQ+j/x+L8VjKQYw4+BPcmzUSnRO9cZ8ywREREREpTFrKy4WPlGHRiSkAPPXUUwCgSyI//fRTHDp0yOj+MjMzMX78eNHCRzY2NlVa8ZbI2qnt7FC/X2eETh8tao/ZdKD8cl8iIiKiWkxfKS/VPItPTAcPHowBAwboRjaLi4sxatQobNiwweC+Dh48iM6dO+PUqVOi0dLHHntMNp+VqDYLGT9YdJyXkIyUU5cUioaIiIhIOUWZkj1MOWKqCItPTAHg888/h7OzM4D7I6c5OTmYOHEiBg0ahNWrVyMmJkZ2TXFxMe7evYuTJ09iyZIl6NGjBwYNGoTbt2/rSoNVKhXq16+PxYsX1+jjIVKaR/PGcG/eWNQWvXG/QtEQERERKYelvJbBohc/KtWmTRv8/vvvGDdunG6UUxAEHDx4EAcPHtSdV5pwCoIABwf5vo6l15b+287ODmvWrFFkixUipYWMG4iLi37UHUdv2IfOH73IVeiIiIioTinKkIyYspRXEVYxYgoAo0ePxs8//wxHx/t7CpVNMEu/yirbXvpV9hpXV1esX78evXv3rtkHQmQhpOW82ZExyLwSqVA0RERERMrgqryWwWoSUwB4/PHHcfLkSbRs2VJUjlvVL+B+Utq8eXMcO3YMo0aNUvLhECnKu1NLOAfVF7WxnJeIiIjqGpbyWgarSkwBoFWrVrh48SLWrFmDjh076h0ZBfSPmIaFhWHlypW4fPkyWrVqpfAjIVKWSqVC8NiBojZuG0NERER1jayUl4mpIqxijqmUSqXCxIkTMXHiRERHRyMiIgJHjx5FXFwc0tLSkJGRAUdHR/j4+MDf3x/dunXDkCFD0KJFC6VDJ7IoIeMH4dqXv+uO08//g+yoOLg2bqhgVEREREQ1RzpiyjmmyrDKxLSskJAQTJ8+HdOnT1c6FCKr49+7A+p5e6AwLVPXFrPpAFq9NE25oIiIiIhqiCAI3C7GQlhdKS8RmY7a1hbB4f1FbSznJSIiorqiJDcfQkmJqI1zTJXBxJSojgsZP0h0nHTkPPKT0hSKhoiIiKjmSMt4AcDeg4mpEpiYEtVxDQZ3h62L04MGQUDMlgPKBURERERUQ6RbxUClgr27izLB1HFMTInqOFuHemg4Qryfb/QGlvMSERFR7VckXfjI3QUqNVMkJdT6n/ru3bvx1FNPoXv37mjRogX69u2L5557DidPnlQ6NCKLIS3nTdx3EkVZ2eWcTURERFQ7FEq3iuGKvIqx+FV5CwsLsWrVKlHb9OnT4eDgUOF19+7dw6RJk7Bnzx4A0O1veuPGDRw9ehTLli3D1KlT8fXXX8PFhcP1VLc1HNkHans7aIuKAQDa4hLE7TiMJo+NVDgyIiIiIvORjZhy4SPFWHxiumvXLjz99NNQqVQAgA4dOuCpp56q8BqNRoNhw4bh1KlTuoQUuL//adnjX3/9FfHx8di5cyfs7OzM8wCIrIC9mwsCBndH3I7DurboDfuYmBIREVGtJp1jyhV5lWPxpbwbNmwA8GDE8+mnn670miVLluhKdVUqle5LEATZ8YEDB/Dmm2+a7wEQWYmQcQNFx3E7j6Akv0ChaIiIiIjMjyOmlsPiE9MjR47oRktVKhXCw8MrPD8nJweffPKJ7hrgflLr5eWF7t27Izg4WJfklianS5cuRVRUlPkeBJEVCArvL5rsX5Kbj4S9JxSMiIiIiMi8OMfUclh0YpqamipKGNu1awc/P78Kr1m3bh3S09MBPBhl/eCDD5CUlIRjx44hKioKGzduhLOzs+6a4uJiLF++3AyPgMh6OPp5w693B1EbV+clIiKi2oylvJbDohPTmzdv6v6tUqnQrl27Sq9ZvXo1AOjKdh999FG8/vrrUJcZCRozZgyWLl2qO0cQBN11RHWZtJw3dmsEtCUlCkVDREREZF4s5bUcFp2YRkdHi45btmxZ4flFRUU4dOiQqIz31Vdf1XvujBkzEBwcLLpXYmJiNaIlsn7BY8WJaWFaJpIOn1MoGiIiIiLzYimv5bDoxDQ1NRXAg5Jcb2/vCs8/efIkCgoeLNbStGlTtG/fXu+5KpUKw4cPF63Se+nSpWpGTGTdXBsFwrtjC1Eby3mJiIiotmIpr+Ww6MQ0Ly9PdOzmVvET5dixY7p/q1QqjBgxosLzW7VqJTqOiYkxMEKi2id43CDRcfSm/aIPcIiIiIhqiyLpiCkTU8VYdGJaXFwsOtZoNBWef/r0aQAPRlj79u1b4fmlCymVlv5mZ2dXdDpRnSCdZ5oXl4TUM1cUioaIiIjIfAqlc0xZyqsYi05MXVxcRMf37t0r58z7ym4tAwC9e/eu8Hw7OzvRsXSElqgu8mgZCreHQkRtLOclIiKi2kZTWASNZM92lvIqx6ITUw8PDwAPRjRv3bpV7rmXL19GcnKy7rhx48bw9fWtsP+srCwAD0ZYHR0dqxMuUa2gUqkQIinnjdnIxJSIiIhql6JMebUkS3mVY9GJ6UMPPSQ6PnLkSLnnbty4UfdvlUqFXr16Vdp/RkaG6LiyOaxEdYW0nDfr+h1kXrutUDREREREpict4wUAew/mA0qx6MS0TZs2uv1HBUHA8ePH8c8//8jO02g0WLFihW5PUgAYMGBApf1L+2rYsKEJoiayfj5dWsMp0E/UFr1hr0LREBEREZmedA9TWycH2NjblXM2mZtFJ6YuLi7o168fBEGASqWCVqvF9OnTkZmZKTpv4cKFuHPnju7Y1tYWo0aNqrT/8+fPi+akhoaGmip0IqumUqtle5pGb9yvUDREREREpifdKoZlvMqyVTqAykyfPh0HDhwAcL9E9+zZs2jWrBnGjRsHb29vHDlyRLfoUWkCO2LECPj4+FTY771793Dx4kXdsZOTExNTojJCxg3EP1+v1h2nnb2KnJhEuAQ3UDAqIiIiItOQrcjLxFRRFj1iCgDTpk1DmzZtdMeCICAlJQXLly/HRx99hCNHjsj2WHzrrbcq7Xfbtm267WhUKhU6d+6sKxsmIqB+306o5+UuaovmIkhERERUS0j3MK3HrWIUZfGZmFqtxi+//AJ39/tvkFUqlW50tDQhLVuO+/LLL6NTp06V9rtu3ToAD1bkrWxrGaK6Rm1nh6DR/URtMSznJSIiolqCpbyWxeITUwBo27Yt9uzZg4ceekiWkJY9fuGFF7B48eJK+4uNjcXWrVtFCe2IESPMEzyRFQuWbBuTdPgcClLSFYqGiIiIyHRYymtZLH6OaalOnTrhwoUL+PPPP7Flyxbcvn0b2dnZ8Pb2Rrdu3TBz5ky0a9euSn19+eWX0Gg0umNvb2/06NHDXKETWa3AoT1g6+SAkrz7m08LWi1ithzEQ0+MVzgyIiIiouqRlvLas5RXUVaTmAKAvb09pk6diqlTp1arn4ULF+LNN9/UHdva2opGT4noPltHBwSO6I3o9Q+2ioneuJ+JKREREVk96YhpPY6YKsoqSnlNzdnZGe7u7rovZ2dnpUMislghknLehD3HUZydq1A0RERERKbBOaaWRdHENCMjQ8nbE1EVNHy4D9R2D4ortEXFiN1xWMGIiKg2EwQBglardBhEVAfIVuVlYqooRRNTf39/DBo0CF988QXu3LmjZChEVI56Hm5oMLCrqI2r8xKROdxctRlrGgzEutCRSNh3QulwiKiWK5IufsQ5popSNDEtKSnBwYMH8fLLLyM0NBTt2rXDwoULce7cOSXDIiKJkPGDRcex2w+hpKBQoWiIqDbKvhOPY0++i/ykNOTcScCJeYtk+5QTEZlSUaZk8SOOmCrKIuaYlm75cunSJbz//vvo0qULgoODMW/ePOzZswclJSVKh0hUpwWPGQCUWSCsJCcPiftOKhgREdU2kau2QFv84O991j9RsjeNRESmotVoUJTFUl5LomhiWroPaem/y+5LGhcXh2+++QbDhw+Hr68vHn/8caxZswbZ2fwjRVTTHP294dezvagteuM+ZYIholpH0GoRuXKzrD0nOkGBaIioLijOypG1sZRXWYompnfv3sUPP/yA0aNHw8HBQZakAvdHU7OysrBmzRo8/vjj8PX1xfDhw/HNN98gPj5eyfCJ6pSQ8eLVeWM2H4S2zH7ARETGuhtxBjl35ElobkyiAtEQUV2gryKDpbzKUjQx9fX1xezZs7F582akpqZiw4YNmDFjBry8vHQjp9IktaioCHv27MG8efMQHByMLl264P3338fly5eVfChEtV7IuIGi48LUDCQfOa9QNERUm9zUM1oKADkxd2s4EiKqK6R7mKrtbGHr5KhQNARYyBxTAHB0dMTYsWOxYsUKJCUl4eDBg3jppZfQuHFjXZIKQJSkCoKAs2fPYuHChWjXrh1CQ0Px8ssvIyIiAlouNU9kUq6NG8KrXTNRG8t5iai6irNzEb1uj97vccSUiMxFtiKvp5suzyBlWExiWpZarUbfvn3x3//+F5GRkbh48SL+85//oFOnTrIktey81KioKHzxxRcYOHAg/P39MXPmTGzcuBF5eXkKPyKi2kFazhu9cT9XzSSiaon6czdK8gr0fi+XI6ZEZCbSEVPOL1WeRSamUq1bt8abb76J06dPIzY2Fl9//TWGDBkCW1vbcpPUtLQ0/PLLL5gwYQJ8fHwwevRo/Pjjj0hOTlb40RBZr2BJOW9uTCLSzl1TKBoiqg30LXpUKocjpkRkJkWZ4sSUK/IqzyoS07ICAwMxd+5c7N69GykpKfjjjz8wefJkuLq6lrt4UkFBAXbs2IGnnnoKAQEB6NWrFxYvXowbN24o+VCIrI5n66ZwDQ0StbGcl4iMlXUzGkkVzFVnKS8RmYu+Ul5SltUlpmW5ublh8uTJ+OOPP5CSkoLdu3fjmWeeQWBgYLmLJ2m1Wpw4cQKvv/46WrRogRYtWuC1117D8ePHFX40RJZPpVLJV+fduF+haIjI2kWu2iI6VtnYiI7zElKgKSquyZCIqI4ozBCvystSXuVZdWJalp2dHYYMGYKvvvoKMTExOH36NP7973+jVatWFS6edP36dSxZsgS9e/dGgwYN8NRTT2H79u0oLCxU8uEQWayQceLENPPqLWRdj1IoGiKyVlqNRpaYNpkyUnySICAvPqkGoyKiuoKlvJan1iSmUp06dcJ7772Hixcv4tatW/j000/Rt29fqNXqcuelJiUl4ccff0R4eDh8fHwwYcIEhR8FkeXx7dYGjg18RW3RHDUlIgMl7juJvDhx0tnqpWmwdXEStXEBJCIyhyLpiCkTU8XV2sS0rMaNG+PFF1/EwYMHkZSUhJUrV2Ls2LFwdHQsd15qbm4uNm7cqGTYRBZJpVYjZOwAURvnmRKRoaSLHnm1bw7v9s3hEtxA1M4FkIjIHLgqr+WpE4lpWV5eXpg+fTo2bNiA1NRUbNmyBbNnz4avr69oXioRlS9YUs6beuoycuM4qkFEVVOYeU9WadF01hgAgHOIODHlAkhEZA4s5bU8dS4xLcvBwQGjRo3CDz/8gMTERBw5cgSvvPIKwsLClA6NyKI16N9Z9sli9KYDCkVDRNYmavUuaAoerOWgtrNFk8fvzy+Vj5jyQy8iMj2W8lqeOp2YlqVSqdCzZ08sXrwY169fx5UrV/Dhhx8qHRaRRVLb2SFodD9RW/SGvQpFQ0TWRlrGGzS6Hxx8PAEAzsH1Rd/LjU6osbiIqO6QlfIyMVWcrdIBVCYmJkb3b3t7e9SvX7+Csw1z9+5dFBUV6Y6Dg4N1/y7dSoaI9AsZNwi3ftmmO046dA4FaZlw8PZQLigisniZ124j5eQlUVvTWWN1/+aIKRGZmyAI8n1MOcdUcRafmDZq1Eg357N9+/Y4e/asyfoeMWIELl68COD+iGlJSYnJ+iaq7QKH9YSNowM0+QUAAEGjQezWCDSdOUbhyIjIkt1csUl07OjvjcDhvXTHshHTmESu/0BEJlWSmw9BoxG1cY6p8qyilLd0UaLSFXStpW+i2szWyVH0ZhJgOS8RVUxbUiKqtACA0GmjoLZ98Dm5s2TEtCQ3XzayQURUHdIyXoClvJbAKhLTslu5mKNvIjJOyLiBouOEv46jOCdPoWiIyNLF7z6G/LuporYwSZWFc6AfVGrx2xNuGUNEpiT7sEulgr2bizLBkI5VJKYAOKJJZIGCRvWDqsxIh6awCPG7jigYERFZMmkZr0+X1vBsJV4JX21nB8cAX1Ebt4whIlOSbhVj7+4i+0CMah5/A//DkVMiw9XzdEODAV1EbdEb9ikUDRFZsoK0TMRuOShqK927VEq2AFI0E1MiMp1CbhVjkep0YpqX96Dk0MnJScFIiKyXtJw3dvthaIqKFYqGiCzV7d93QFv8YJFBm3r2aPzoCL3n6lsAiYjIVLgir2Wqs4mpIAiIi4vTHbu68glJZIzgsQOBMhUHxfdykLj/pIIREZElkpbxBo8dWO4qmNIFkLhlDBGZkjQx5Yq8lqHOJqYRERHIz88HcL+Mt+wepkRUdU4NfOHbva2ojeW8RFRW+oXrSD//j6itvDJeQF7KyxFTIjIl2RxTJqYWoU4mpsePH8fTTz8N4MGiSm3atFEyJCKrJi3njdl8AFrJ/mBEVHfdXLlZdOwU6IcGg7uXe768lJcjpkRkOtI5phwxtQy2lZ9iXgMHDqz8pP+JjIw06PyyNBoNcnJyEBUVhaysLAD3R0pLE9Nhw4YZ1S8RASHjBuHMvz7THRckpyPl+AX49+6oYFREZAk0RcW49et2UVvY9NFQ29iUe41LSIDoOC8xBZqiYtjY25klRiKqWzjH1DIpnpgePHiw0hVxS5PH3NxcREREGH0v6ZYzpff19/fH6NGjje6XqK5zCwuGZ5umyLh0U9cWvWEfE1MiQtyOwyhMzRC1SfculZKOmEIQkBeXBNcmDU0dHhHVQSzltUx1qpRXpVKJvgRBgI2NDZYvXw57e3ulwyOyatJy3uiN+7j/MBHJFj3y69UB7g81qvAae3dX2Lk6i9pyOM+UiEyEpbyWyWISU0EQ9H5V5Rxjv1q2bIm//voLDz/8sEKPmqj2CBk/WHSccycB6ReuKxQNEVmC/KQ0xG0/LGprOjO80utUKhW3jCEis2Epr2VSvJS3b9++FZbyRkRE6EY3XVxc0KlTJ6PuY2trC1dXV3h6eqJNmzbo2bMnunbtamzYRCTh2fYhuDQORE5UvK4tesM+eLdvrmBURKSkW79th1BmITQbRwc0mlS1NR2cgxsg88ot3TG3jCEiUynKFI+YspTXMiiemB48eLDC76vVDwZ1w8LCcODAATNHRETGUKlUCBk3CFc+/VnXFr1xHzq+96yCURGRUgRBkJXxNpowGPZuLlW6nlvGEJG5FHIfU4tkMaW8lalsgSQiUl7I+EGi48zLkci6Ga1QNESkpLRz15B5OVLUVtmiR2WxlJeIzEFTWARNfoGojaW8lkGREdOlS5fq/u3r64vHHnuswvO5gAqRdfDr0Q6O/t7IT0rTtcVs3Ic2/5qtYFREpATpaKlLowA06N+lytdLt4xhKS8RmYJ0tBRgKa+lUCQxffHFF3UjoO3ataswMT1w4IBujqmrKz/NILJkKrUaQWMG4Mb363Rt0Rv3MzElqmNKCgpx+/cdorawGeFQqateqCUbMY1OgCAIrKAiomqRzi8FWMprKRSdY1qVkdCBAx9sQdG+fXucPXvWnCERUTU1Gj9IlJimnLiIvIRkOAX4KRgVEdWk2K0RslUvw2ZUvhpvWdI5piV5BShMz4KDt0d1wyOiOkz62mTr7Ai1nZ1C0VBZii9+VJmyyWtdLulNTEzEyZMnERUVhdzcXDg6OiI4OBidO3dG48aNlQ6vXImJiTh//jxu376Ne/fuQa1Ww9XVFSEhIWjWrBnCwsL46XctU39AV9i7u6Io68EnktGb9qPFM48qGBUR1SRpGW/9/l3g2rihQX04BfhCpVZD0Gp1bbkxiUxMiahapKW8nF9qOSw+MQXq9sJHW7duxccff4xjx46Vm5i3a9cOL7/8MqZNm2YRP6v8/Hz88MMP+Omnn/D3339XeK6Xlxf69u2L8PBwzJo1q2YCJLOysbdDw4f7iMr4YjYyMSWqK3Ljk5Cw+5ioremsqi96VEptZwfHAF/kxSXp2nJi7sK7Q4tqx0hEdVdRpiQxZRmvxVBkVV4nJyfdv/Pz86t0TV0bLc3JycGECRMQHh6Oo0ePVvj4L1y4gBkzZmDAgAFISkoq97yasGXLFjRt2hTPP/98pUkpAKSnp2PTpk2YO3eu+YOjGiNdnTfx4BkUpmcpFA0R1aRbv24XjXLaujgh5JHBRvXFLWOIyNSKMsRzTDm/1HIokph6enrq/h0XF1fnks7K5OTkYPDgwVi/fr1B10VERKB37964e1eZlQvfeOMNjBkzBvHx8YrcnyxH4PBesHGopzsWSkoQuy1CwYiIqCYIgoBISRlv40nDYOfspP+CSriEMDElItNiKa/lUiQxDQsL0yWjeXl52LlzpxJhWKzZs2fj5MmTorbg4GB8/vnnuHTpEjIyMnD16lUsX74cLVqIS5oiIyMxfvx4lJSU1GTIePnll7Fo0SJRm6OjI6ZMmYI1a9bg8uXLSE1NRXp6Om7duoWtW7fi7bffRqdOnSyi/JhMy87ZCQFDe4jaojfuVygaIqopKScuIuv6HVGbMWW8pZwlI6Y50UxMiah6WMpruRRJTLt37w4Aum1gnnzySezevVuJUCzO1q1bsXbtWlFbv379cPHiRbzwwgto3bo1PDw80KJFC8yZMwfnz5/HxIkTRecfP34c3377bY3FvHLlSnz22WeithEjRuDq1av49ddfMWnSJLRq1Qre3t7w9PREkyZNMGrUKLz77rs4c+YMbt68iZdeeqnG4qWaIS3njd99DMW5eQpFQ0Q14ebKzaJj17Bg+PXqYHR/si1jOGJKRNXEUl7LpcjiR1OnTsXHH38M4H5ympiYiJEjR8Ld3R1hYWFwdnbWO4oWGRkp2j7GlFQqFfbt22eWvqtKEAS89dZborbg4GBs3bq13D1c69Wrhz/++AO3b98WbaXzwQcfYPbs2aL5vOaQlJSEl19+WdQ2depUrFq1Cuoq7lcXGhoqG20l6xc8uj9UNjYQNBoAgCa/AMeefBcBw3rCp1NLuDdvDLWtVay/RkRVUJKXj6jVu0RtTWeGV6sqRjrHNCdGmakqRFR7sJTXcinyrrBVq1Z45JFHsH79eqhUKt3IaWZmJs6cOSP7I1Za9pubm4uICNPPU7OUDbs3b96MCxcuiNq++OKLcpPSUjY2Nli+fDk6duyoa7t79y6WL1+OF154wSyxlnr++eeRkZGhO+7cuTNWrlxZ5aSUaq96Xu6o368TEvef0rXd/mMnbv9xv3TfxtEBXu2bwadTS3h3agnvTi3g0aIJk1UiKxW9cT+K7+U8aFCpEDrdsL1LpaSlvPmJKdAUFsGmnn21+iWiuku6jylLeS2HYu8Af/jhB1y/fh2XL1/WJad13Z9//ik6btSoEcaMqdrcnA4dOqB37944cuSIrm3t2rVmTUxv3rwpilmlUmHZsmWwsbEx2z3JuoQ8MliUmJalyS9AyvELSDn+4MMYG0cHeLV76H6i2rEFfDq1hEfLJtz4msgKRErKeAOG9IBLUP1yzq4aaSkvAOTFJ8O1iWF7ohIRlSrKZCmvpVIsMXV3d8fJkyfx2muv4aeffkJubm6l19Tm1XuLi4uxY8cOUZuh+5LOnDlTlJgeP34cycnJ8PPzM1mcZf3www+i4759+6JLly5muRdZp6azxuLGDxuQfv6fKp2vyS9AyomLSDlxUddm41APnm2blhlZbQnPVqFMVoksSE5MIhL2iRftazqzeqOlAGDv7go7V2cUZz94j5ATk8jElIiMxhFTy6VozZyjoyO++OILvPfee9izZw9OnTqFmJgYZGVloaCgAMD9LVBKS31dXFzQqVMnJUM2m+PHjyMrS7zPY//+/Q3qQ3q+VqvFrl27MH369GpGJ1dSUoKVK1eK2h5//HGT34esm62jA0af/gOJ+04i9fRlpJ69hrSzVw1awERTUIjUU5eReuqyrs2mnj082z4E704tdAmrR6sw2NgzWSVSQuSqLUCZD4/t3V0RPLb6a0KoVCo4hzRA5uVIXVtOdEK1+yWiuotzTC2XRUzmcnd3x4QJEzBhwgTZ98rOVQwLC8OBAwdqMrQac/HiRdGxjY0NunXrZlAfoaGh8Pf3R1JSkq7t0qVLJolP6sKFC0hOTha1DR5s3AbqVLupbWwQOLQnAof21LUVpKQj7dw1pJ69irSzV5F29ppBbzY1hUX3E93Tl3G99D72dvBqe78MOGxmOPy6tzPxIyEifQRBkJXxNn5sOGwdHUzSv0uwODHN5QJIRGQkrUYjngsPlvJaEotITAn45x9xqWNwcDCcnZ0N7qdFixaixFTar6mcOiWeN+ji4oLGjRuL2mJiYnD48GHcuXMHRUVF8Pb2Rv369dGrVy8EBgaaJS6yDg6+Xggc1guBw3rp2gpSM5B27v6IamnCmnOn6smqtqgYqWeuIPXMFVz/fh1GHloB/94dK7+QiKol6fBZZN+OE7U1nWn83qVS3DKGiEylOCtH1sZSXsthNYlpbV8c6dq1a6Lj4OBgo/oJCgoSHZsrMT19+rTouEWLFrrf0YkTJ/Daa69VuIJyq1atMH/+fEyfPp2LJREAwMHHUz6ympapS1ZLE9acqPjKOxMEXP5kFRNTohpwc4V4tNS9RRP4dG1jsv65ZQwRmYq0jBdgKa8lsYrEtDYvelQqIUE8MiRNMKtKmtDGx1fhTbwRpIm0l5eXbh/Wjz76CJr/7V1ZnitXrmD27Nn47LPPsHnzZtloKxEAOHh7IHBIDwQO6aFrK0zPkpQBX5WN1gBA3M4jKMrKhr07/+AQmUtxTh7urP1L1NZ01hiTfpgs3TKGI6ZEZCzpirxqO1vYOjkqFA1JWXxiqtVqlQ6hRuTkiEsL3NyMKyuQXpefnw+tVmvyfUXT09NFx66urvjXv/6FTz75xKB+Ll26hG7duuGvv/5C+/btTRZfcnIyUlJSDLomMjKy8pNIcfW83BEwuDsCBnfXtRVm3EPq6cvYO/o5aIuKAdwv7Y3etB9NZ5iupJCIxO6s24OS3HzdscrGBqFTR5n0HvpKeS1l/3Eisi76VuTla4nlsPjEtK6QJqaOjsZ9eqPvupycHKMT3fJkZmaKjiMiIrBu3TrdcYMGDTB//nyMGDECISEh0Gq1iIqKwtatW/Hpp5+KEtuUlBRMmDAB586dM1mcy5Ytw7vvvmuSvsjy1fN0u18GPKwnYrc+KCGPWrObiSmRGUkXPQoc3gtODXxNeg+XkADRcUleAQrTs+Dg7WHS+xBR7ccVeS2baYfRyGjSfVwdHIxbzbC8xNTUpFvblB2dHDp0KK5fv4758+ejZcuWcHZ2hqurK9q2bYs333wT169fR/fu3UXX37p1CwsWLDB5nFS3NH50uOg4Yc8JFKRlKhMMUS2XfTsOdyPOiNqazjL9B0FOAb5QSap+uGUMERlDOmLKFXktCxNTMkp5JdZt2rTBli1b4Opa/idQPj4+2L17N0JCQkTtK1aswN27XNSCjBc8uj9sHOrpjoWSEkRv2KtgRES1103JaGk9L3cEjepn8vuobW3hFOgnauOWMURkjKJMeSkvWQ6W8loIZ2dnUXlsQUGBUf3k5+fL2lxcXIwNq1wuLi7IyMiQtS9btgz16tXTc4WYm5sbPvvsM4wfP17XVlhYiJ9//hn/+te/qh3fM888g4kTJxp0TWRkJMaOHVvte5Ny7FydETSqL+6s26Nri1q9C82elO+RTETGE7RaRK7aImprMuVh2NSzN8v9nIMbIDf2QTLKBZCIyBiFGeLFjzhialkUSUwfe+wxfPTRR7IRM0sjCAJWrFgBrVaLOXPmmPVeLi4uosRUX4JZFUompm3atEHv3r2r3Ed4eDgCAwNFKwdHRESYJDH18/ODn59f5SdSrdN48jBRYnr34Bnk3U2FU30fBaMiql0SD5ySJYfmKOMt5RJcH8lHHxznMDElIiPIFj/iHFOLokgp75o1a9C8eXPMnz8fycnJSoRQqS1btqBdu3Z48sknZVu5mIM0ebx3T77PUlVIr3N0dDT5iryA/mR34MCBBvVhY2ODfv3EZV8nTpyoVlxEDUf2ga2Lk+5Y0GpFiSoRVZ9071LPtg/Bq31zs91PvmUMS3mJyHDS7WJYymtZFJtjWlRUhM8//xyNGjXCvHnzEB0drVQoOhqNBr/99hvatm2LcePG4fLlyzV274AA8aqDsbGxRvUjvU7ar6k0bNhQ1ta6dWuD+5Fek56ejpKSEqPjIrJ1ckRweH9R2501u5QJhqgWKsrKRvSGfaI2U+9dKuUSwr1Miaj6ZKvyMjG1KIovflRQUIBvvvkGYWFhGDNmDHbs2AFBEGo0hpiYGLz11lsIDg7G9OnTcfnyZdEeaTWxv1Hz5uJPmmNiYozqR3pdixYtjI6pIvr69fT0NLgffddI90glMpR0dd6kI+eRE8sRFiJTiPpzNzT5D9ZBUNnaInTKw2a9p3TENCeaiSkRGU62Ki9LeS2KIonp7t270bRpU1Hyp9FosG3bNowePRoNGzbEc889h4iICLMlqXFxcfjiiy/Qt29fNGnSBB9++CESE8WbdqvVasybNw8vvPCCWWIoS5roxcbGyraQqYp//vlHdCxNeE2lZcuWsjZjflf6ruFGx1RdgUN7wt5d/Mfmztq/FIqGqHaRlvEGjeoLB18vs97TObi+6Dj/bio0hUVmvScR1T4s5bVsiiSmQ4YMwaVLl/Dhhx/CxcVFlAwKgoDExEQsW7YMAwcOhJeXF0aPHo3//ve/iIiI0LsSbGU0Gg2uXLmC33//HXPnzkXz5s0REhKCl19+GUePHoVWq5XF0LdvX5w9exZffPEF3NzM/6Rt27at6LikpASnTp0yqI9bt27Jtltp06ZNtWPTp127drI2Y3430mtUKhW8vMz7BodqP5t69ggZP0jUFrWa5bxE1ZV1PQopxy+I2sy56FEpF8mIKQDkxiWZ/b5EVLuwlNeyKbZdjJ2dHV577TU89dRT+PDDD7Fs2TIUFBSIkkMAyMrKwo4dO7Bjxw7dtfXr10dISAgCAwNRv359ODs7w9HRETY2NigoKEB+fj7S09MRFxeHuLg4REVFobi4WHd92VE6lUoFlUoFQRAgCAI6duyI999/H8OHi0sBza1Hjx5wd3dHVlaWru3gwYMYMGBAlfuIiIgQHavVarM9jq5du8LPz0+0eNWlS5cM7kd6jb+/P2xsbKodH1HjycNwc8Um3XHq6cvIvh0H1yby+dFEVDU3V4q3iHHw80LDEVVfjd1Y9u6usHNzQfG9HF1bbkwi3EKDzH5vIqodBEHgqrwWTvF9TL28vPDJJ59g/vz5+Pzzz7F8+XJkZmaKyjml5Z6JiYmykcHyVFYqWvr9vn37Yv78+Rg9erQxD6Pa7OzsMHLkSPzxxx+6tl9++QXvvPNOlUtbV61aJTru0aOH2bZMUavVCA8Pxw8//KBr27dvXwVXyJWUlMiS6T59+pgkPqIGA7uino8nClMfjMpHrdmFtq+bd+snotpKq9Hg1s9bRW2hU0dBbWdXI/d3Dq6PzMuRumNuGUNEhijJyYOg0YjauI+pZVF88aNSDRo0wMcff4zY2Fh8+eWX6NChg24UE3gwsln6BUD3/Yq+pNeVHR11dXXFE088gdOnT+PgwYOKJaWlJk2aJDqOiorC1q1byzlb7MKFCzh06JCobeLEiSaLTZ/HHntMdHz16lUcPHiwytdv2LABiYniNxaDBw82RWhEUNvZodEE8fPpNst5iYyWsOc48hLEW7zVRBlvKWk5L7eMISJDFErmlwIs5bU0FpOYlnJ2dsazzz6LM2fO4PLly/j3v/+NDh06ABAnooA8Wa0oCS398vT0xGOPPYY1a9YgKSkJy5cvR6dOnZR8yDpjxoyRzTV9/vnnkZOTU84V92k0GsyZIx4Fql+/Pp588skq3Vf6M+vfv3+Vrhs4cCD69u0ranvmmWeQn59f6bUZGRmYP3++qM3b2xtTpkyp0r2JqqLxZHEpe8bFG8i8dluhaIhMJycmEbsGP4k1DQdjR9+ZOPHcItz4YT1STl9GSZkVc01JuuiRT+dW8Gzd1Cz30ke6ZUxOtPn3GCei2kNaxguVCvZuLsoEQ3opXspbkZYtW+K9997De++9h6SkJBw6dAinT5/GmTNncOPGDd0quuVxdXVF48aN0bZtW3Tp0gXdu3dH586dLXbVV5VKhffffx/h4eG6tujoaISHh2PTpk16F2EqKirC9OnTcebMGVH7m2++CScnJ7PH/PHHH6NHjx6642vXruHhhx/Ghg0b4OHhofeapKQkPPzww4iLixO1v/rqq3B2djZnuFTH+PfpCMcGvshPTNG1Ra3ZhQ7vPKNgVETVd+LZD5C47yQAIC8+GUmHz+m+p1Kr4fZQCLzaNYNXu4fg+b//OgX4Gf33rzA9CzGb9ovawmbW3GgpIN8yhiOmRGQI2fxSdxeo1BY3RlenWXRiWpa/vz8mTpwoKk8tLi5GfHw87t27h7y8PGg0Gjg6OsLZ2Rl+fn5G7auptNGjR+ORRx7B+vXrdW0HDhxA27ZtMX/+fAwaNAgBAQFISkrC0aNH8d///hdXr14V9dGjRw88/fTTNRJv9+7d8fzzz2Pp0qWieB966CG88MILGDlyJEJCQqDVanWlyUuXLhUt8gQAgwYNwiuvvFIjMVPdobaxQaOJQ3Bt6e+6tqg1u9F+4VyL/YCKqDI5sXcRu/1wud8XtFpk/ROFrH+iELXmQfl6PW8PeLV7CF7tmsHzf//1aBkKG/vK54jeXr0T2qIHiwiq7e3Q5LER1XsgBpJuGZPLOaZEZABpKS/LeC2P1SSm+tjZ2aFRo0ZKh2FyK1asQGxsrGi7mOjoaDz//POVXhsaGor169fD1rbmfrWffPIJYmJisGnTJl1bSkoK/v3vf+Pf//53pdd36tQJq1ev5mq8ZBZNHh0hSkyz/olCxsUb8GrXTMGoiIwXuWoLYMS+0YVpmUjcfwqJ+x/8bVHZ2sKjRWNRsurV7iE4+nmL7ykp4w0eOxD1vNyNewBGks4xzYm5K9rqjYioItIRUy58ZHmsOjGtrVxdXbF3717MmDEDGzdurPJ1ffr0wdq1a+Hv72/G6OTs7Oywdu1aLFiwAJ9//jm0Wm2Vr3388cexfPnyGik7prrJt3tbOAc3EI2uRK3ZxcSUrJKg1SKyzDZIAODXqwOcGvgg/cIN3IuMMShpFUpKkHHpJjIu3QR+fdDuWN9HVwbsFOCL1DNXRNc1nRmOmiYt5dXkF6AwLRMOPtZXHUVENY9bxVg+FlZbKFdXV2zYsAGbN29Gz549Kzy3bdu2WLlyJSIiImo8KS1la2uL//73vzh9+jQmTJgAe3v7cs91dHREeHg4Tpw4gd9++41JKZmVSqVC48nDRG23V++qcH46kaW6e+gssm+L5+d3/fQVDFj7XzxyYyumZh/Hw8d/QY9v30LzuZPg17M9bF0Mf43Nv5uK+N3HcHnxCpx6cbHoe04BfggYWvHfJXNwCvCFSlJZwy1jiKiqijIliSlHTC0OR0wtXHh4OMLDw5GQkIATJ07gzp07yM3NhaOjI4KCgtClSxc0adKkWvcw5Rv0jh07Yu3atcjNzcXx48dx48YNZGZmws7ODr6+vggJCUGPHj3g4OBgsnsSVabx5OG4vGSl7jgnKh6pZ67At0tr5YIiMsJNyWipR6tQ+JR5Hts5O8Gvezv4dW+naxO0WuTcSUD6hev/+7qB9AvXkRMVb1QModNHQ63A1Au1rS2cAv1E1Q+5MXfh07FljcdCRNanMEM8x5SlvJaHiamVCAgIwPjx45UOo8qcnZ0xePBg7ktKFsG7Ywu4hgUjOzJG1xa1ehcTU7IqRfdycGftHlFb09njKp1jqVKr4dqkIVybNETIuEEP+svKRsalm7pENf3CdWRcioSmku1mlCjjLeUSXF+UmHLLGCKqKpbyWj4mpkRU65WW8178YLmuLerP3eiy5GUuFU9WI2rNLlHSqLK1RejUh43uz97dFf69O8K/d0ddm1ajQXZkTJlk9f5/8+KSoFKr0f6duXBv1rhaj6M67s8zPa875pYxRFRVhdLElCOmFoeJKRHVCU0eHS5KTPPikpB87G/Rm3IiS3bzp02i46BRfWWr51aX2sYG7s0aw71ZYzSe9GBudmHmPahUKti7KzvCIN/LlHNMiahqijJZymvpOFRARHWCZ+um8GgZKmqLWrNboWiIDJN57TZSTlwUtTWdPbbG7l/Pw03xpBS4X8pbFhc/IqKqkpXyMjG1OExMiajOaPzocNHxnbV/QavRKBQNUdVJFz1yrO+DhiN6KxOMguQjpizlJaKqkZXyco6pxWFiSkR1hnTbmPykNNyNOKNQNERVoy0uxq2ft4raQqeNgtq27s3GcZaMmObfTYWmsEihaIjImrCU1/IxMSWiOsP9oUbw6tBc1Ba1epdC0RBVTdzOI8hPShO1NZ01VplgFOYSEiBry43lqCkRVUxTWCRbcZylvJaHiSkR1SmNJ4vLeaPX74W2uFihaIgqd3PFZtGxb4928GhRvf2rrZW9m4tsrivnmRJRZaRlvABLeS0RE1MiqlOk5byF6VlI2HtCoWiIKpaflIbYbYdEbQ/V4KJHlkhazst5pkRUGenCRwBLeS0RE1MiqlNcGwXCt1sbURtX5yVLdevXbRBKSnTHtk4OaDRpWAVX1H7cMoaIDCWdX2rr7Ai1nZ1C0VB5mJgSUZ0jXZ03euN+lBQUKhQNkX6CIMj2Lg2ZMAT2bi7KBGQhuGUMERlKtiIvR0stEhNTIqpzGk0cCqhUuuPiezmI331MwYiI5FJPX0bm1Vuitodmj1MoGsvBLWOIyFCyPUw5v9QiMTElojrHOdAf/n06itqiVu9UKBoi/aSjpa6hQfDv20mZYCyIS4g4Mc2JTlAoEiKyFtwqxjowMSWiOkm6CFLsloMozs1TKBoisZK8fNz+Q/xhSdNZY6AqM9JfV+kbMRUEQaFoiMgasJTXOjAxJaI6qdGEIVCpH7wEluQVIG77YQUjInogesM+FN/LedCgUiF0erhyAVkQaWKqKShEYWqGQtEQkTVgKa91YGJKRHWSo583GgzsKmqLWrNLoWiIxG6u2CQ6DhzaAy5B9fWfXMc4NfCBysZG1JbDeaZEVAGW8loHi09MS8osk09EZErS1Xnjth9GUdlRKiIFZEfFIXH/KVFbUy56pKO2tYVToJ+ojVvGEFFFWMprHSw+MQ0KCsJbb72FmJgYpUMholomZNwgqGxtdceawiLEbjmoXEBEACJXbhYd1/NyR/CYAQpFY5m4ZQwRGYKlvNbB4hPTpKQkfPjhhwgNDcWYMWOwaxdL7YjINOp5uSNwWE9R2+3VfI0h5QhaLW6u3CJqa/L4SNjUs1coIsvkHBIgOs6NZmJKROWTJqYs5bVMFp+YltJoNNi2bRsefvhhNGnSBIsXL0ZqaqrSYRGRlZOuzpvw1zEUpmcpFA3VdYn7T8nKUpvOHqtMMBaMI6ZEZAjpHFOW8lomq0lMVSoVBEGAIAi4c+cOXn/9dTRs2BBTpkzB4cNcSZOIjBM8ZoBoNEpbXILojfsUjIjqsps/bRQde7VvDu8OLRSKxnLp2zKGiKg80jmmHDG1TBafmLZt21aXkKpUKt2XIAgoKirC6tWr0b9/f7Rp0wbLli1DdnZ25Z0SEf2PvZsLAkf2EbVFrdmtUDRUlxVm3EP0BvGHIhwt1U+emHLElIj002o04u23wDmmlsriE9O///4bx44dw9SpU1GvXj3dJtplE1RBEHDlyhU899xzCAgIwNNPP43z588rHDkRWYsmktV5E/edRH5ymkLRUF11+48d0BQW6Y7V9nZo8vhIBSOyXNJS3vykNJQUFCoUDRFZsuIs+Wr7LOW1TBafmAJA9+7d8fPPPyMuLg5LlixBaGhouaOoubm5WL58OTp37qy7rrCQf6yIqHwNH+4DWycH3bGg1SJ6/V4FI6K6KHKFeDXe4DED4ODtoUwwFk46YgoAeXFJCkRCRJZOWsYLsJTXUllFYlrKy8sL8+fPx40bN7B7926MHTsWNjY25Y6injp1CrNmzUJgYCBeeeUV3Lx5U+FHQESWyM7ZCUHh/UVtXJ2XalL6xRtIPXNF1MYy3vLZu7nA3l1ciscFkIhIH+mKvGo7W9g4OpRzNinJqhLTsoYMGYINGzYgOjoaCxcuREBAgGwUFQAEQUB6ejo+++wzNG/eXHedRqNR+BEQkSVpPFlczpt0+Bxy4zkCQzXj5opNomOnQD8EDOmhTDBWwjlEMs+UW8YQkR76VuQtzRPIslhtYlqqQYMGWLhwIaKjo7F+/XoMHToUAPSW+QqCgP3792PixIkIDg7GO++8g/j4eIUfARFZgsDhvWDn5vKgQRBwZ+1fygVEdYamqBi3ft0uagubOQZqGxuFIrIO3DKGiKqCK/JaD6tPTEup1WqMGzcOu3btwo0bNzB//nx4eXnJRlFLjxMTE/Gf//wHjRs3xvjx47Fnzx6lHwIRKcjWoR6Cxw4QtXF1XqoJsdsiUJiaIWprOnOMQtFYD24ZQ0RVIS3l5Yq8lqvWJKZlhYaGYsmSJYiPj8fPP/+Mnj17lrtYUklJCTZv3ozhw4ejadOm+OSTT5CWxtU4ieoi6eq8KScuIjsqTqFoqK64+dMm0bF/305wCwtWJhgrwi1jiKgqpCOmXJHXctXKxLSUvb09pk6diiNHjuDvv//G3Llz4eLyoFRPOop669YtLFiwAMHBwXjqqadw5cqVCnonotomYHB31PNyF7VF/clyXjKfvIRkxO88ImrjokdVw1JeIqoK6RxTlvJarlqdmJbVtm1bjBs3Dt27d9et4itdzbc0Sc3Pz8ePP/6Idu3aYdq0aYiOjlYydCKqIWo7O4Q8MljUFrWGq/OS+UT+vBWCVqs7tnVxQqMJQxSMyHroK+Ut/btORFRKVsrLxNRi1frENCMjA59++imaNWuGYcOGYe/eB3sTll25V9+WM1qtFr///jvatm2Ln3/+WZH4iahmNZ48THScfv4fZN24o0wwVKsJgiBbjbfx5GGwc3ZSJiAr4yJZlVdTUIiClHSFoiEiSyUr5eUcU4tVaxPTEydOYMaMGWjYsCFeffVV3Lx5UzTPFHgwYjp48GC89tpraNiwod7FkrKzszFr1ix8/fXXSj4kIqoB9ft3gaO/t6iNiyCROSQf+xv3bogrcprOHqdQNNbHsYEvVJKVi7kAEhFJ6dsuhixTrUpMc3Nz8f3336NDhw7o1asXfv31V+Tn5+td9MjV1RXz5s3D1atX8ddff+HDDz9EVFQUNm/ejMGDB+sdQX3llVdw69YthR8lEZmT2sYGIZJSyqjVLOcl05MueuTerBH8erRTJhgrpLaxgXNDf1Eb55kSkZS0lJdzTC1XrUhML1++jGeffRYBAQGYO3cuLly4UO42MS1atMDXX3+N+Ph4LF26FM2aNdP1o1arMXr0aPz11184efIkOnfuLJqvUlRUhG+//VaJh0hENUi6Om/m1VvIuHxToWioNirOyZPNX246eyw3fTeQs2QBJK7MS0RSLOW1HlabmBYXF+O3335Dnz590K5dO3z77bfIzs7WOzpausfpvn37cPnyZcydOxfOzs4V9t+lSxccO3YMw4cP1/UpCAL2799fQ4+QiJTi17M9nAL9RG23OWpKJnRn3R6U5ObrjlU2NgidNlrBiKwT9zIlosqwlNd6WF1ievv2bSxYsACBgYGYPn06jh07Vu7oqI+PD9544w1ERUVh/fr1GDBggEH3srGxwWeffSZqYykvUe2nUqvReLJ41DRqzW6u+Ekmc/OnjaLjhiN6wamBr0LRWC9uGUNEFREEgaW8VsRW6QCqQhAEbNmyBd988w327t2rdxXd0vMAoGvXrpg3bx4mTZoEe3v7at27WbNm8Pb2Rnr6/ZX+cnJyqtUfEVmHxpOH4cqnD1bjzo6MQdq5a/Dp1FLBqKg2yLpxB0mHz4nauOiRcWQjptFMTInogZKcPAgajaiNpbyWy+IT0/feew8//PAD4uPjAYj3Hi0lCAIcHBwwefJkPPvss+jcubNJYwgICNAlphwxIaobfLq0hkvjQORExevaotbsYmJK1Ra5crPo2MHXEw0f7qtQNNZNumUMR0yJqCzp/FKApbyWzOJLed955x3Ex8eXW64bHByMRYsWITY2FitWrDB5UgrcXxSJiOoWlUrFcl4yOa1Gg8hVW0VtoVNHwcbeTqGIrJt0xLQgOR0l+QUKRUNElkY6vxQqFezdXJQJhiplNRmXNCEdNGgQNm7ciFu3bmHBggXw9vauvBMjlS0dJqK6Q7o6b25MIlJOXFQoGqoNEv46hryEZFFb09ljlQmmFnAOqi9ry41LUiASIrJE0vml9h6uUHHAyWJZzW9GEAS4uLhg3rx5uHbtGvbs2YMxY8bUyGjm33//Da1WC61WC42kTp2Iai/Ptg/BvVkjUdvt1TuVCYZqBenepT5dWsOzdVNlgqkF7N1cZPPFuGUMEZXiVjHWxSoS0+bNm+Orr77Su/coEZG5qFQqNJaMmt5ZuwdafkBFRihIzUDM5gOiNo6WVh+3jCGi8khLebkir2Wz+MR03759uHLlCp555hm4uLAmnIhqlnSeaX5iimxFVaKquPXbdmiLS3THNg71ZB98kOG4ZQwRlUdWysvE1KJZfGJq6N6jRESm5NGiCTzbPiRqi1qzS6FoyFoJgiAr4w0ZPwj1PPgmqbqcQwJEx9wyhohKsZTXulh8YkpEpLTGk4eJju+s2wttSUk5ZxPJpZ2/hoyLN0RtLOM1DY6YElF5WMprXSx+H9OBAwfq/h0WFobvv//eZH0/9dRTiIyMBHB/Ltm+fftM1jcR1R6NJw/HuTe/1B0XpmYgcf8pBA7tqWBUZE2ko6UuIQFoMKCrMsHUMpxjSkTlYSmvdbH4xPTgwYNQqVQAgMzMTJP2ffr0aVy8eFG3PyoRkT5uoUHw6dwKqWeu6NqiVu9iYkpVUlJQiNu/bRe1hc0awy0LTESemCby7zoRAWApr7Wxmr+K3EeUiJQkXaQmeuM+aAqLFIqGrEnM5gOycrKwGeEKRVP7SEt5NYVFKEhJVygaIrIk0hFTlvJaNqtJTImIlNRoknieaVFmNuL/OqZQNGRNpGW8DQZ1g2ujQGWCqYUcG/hCZSsuAGM5LxEB8jmmLOW1bExMiYiqwCWoPvx6dRC1Ra3ZrVA0ZC1yYhKRsOe4qI2LHpmW2sYGzg39RG050QkKRUNElkRayssRU8tWpxPT4uJi3b/t7e0VjISIrIF0dd6YzQdQkl+gUDRkDSJXbQHKTEWxd3dFyLhBCkZUO3EBJCLSR7b4EeeYWrQ6nZimpKTo/u3qyicqEVWs0cShogVrSnLyELfjsIIRkSUTtFpErtwsamv82HDYOjooFFHt5SJJTLllDBGVFBRCU1AoamMpr2Wrs4lpTEyMKDH18fFRMBoisgZO9X3g36+TqC1q9S6FoiFLd/fQWWTfjhO1NZ09TqFoajdnyQJIuUxMieo86fxSgKW8ls7it4sxl3fffVf3b5VKhVatWikYDRFZiyaPjsDdA6d1x3fW78XaJiPgHOgHp0B/OAX6wbnh/f/qvgL8YGNvp2DUpISbP20UHXu0DoNPZ/6tMQeW8hKRlLSMF2Apr6VTPDH9+eefq3xuenq6QeeXpdFokJOTg9u3b2P37t24fv06VCqVbq+z7t27G9UvEdUtIeMH4fgzH0DQaO43CAJyouKRExVf4XUOvp66xNUp0O9/iaxfmWN/2Hu6ce/FWqIoKxt31u0VtT00exx/v2Yi3TKGpbxEJF34yNbZEWo7fkhsyRRPTGfOnFnpH+rSPUxjY2Mxa9asat+ztL/S+6rVajz66KPV7peIaj8HH080HNkbsVsjDLquICUDBSkZSP/7n3LPsXF0gFOAr2zU1TnQDx6twuDRokl1w6caEvXnbmjKLIylsrVF6NSHFYyodpOOmBYkp6Mkv4DzeYnqMG4VY30UT0xLCWVWLazOOVVRNhFWqVR47rnnEBjIPeWIqGq6fbEA2bfjkHnllkn71eQXIPtWLLJvxer9ftNZY9Hrx3c56mYFpHuXBo3uBwdfL2WCqQOkix8BQG7sXbg/1KjmgyEii8AVea2PxSSm5b3RKpuMmvLNWGm/M2fOxMcff2yyfomo9nNt3BBjL21Abuxd5MUnIy8+Cbnxyf/79/2v0mONCbeTubliE8JmjUH9Pp0qP5kUk3n1FlJOXBS1PcS9S83KztUZ9p5uojeiuTFMTInqMu5han0sIjGt6kioKUZMbW1t0bJlS/Ts2ROzZ89G586dq90nEdU9KpUKLsEN9I7UlBIEAUWZ2ciLT3qQrMZJk9gkFKRkVPm+kau2MDG1cDdXbBIdO9b3QeDwXsoEU4e4BDdAepk3opxnSlS3sZTX+iiemEZFRZX7PUEQ0KRJE90iRS1btsT27duNuo+trS1cXV3h6urKMjgiqhEqlQr1PN1Qz9MNnq2blnueprAIeYkpkhHX+8lsxuVIZF6O1J1758+/0P3L1zl3zgAFaZlIOnIegkYDpwa+cArwhWN9H9jUszf5vbTFxbj1yzZRW+j00VDbKv7nttZzDq6P9AvXdcfcMoaobpOW8nLE1PIp/pcyJCSkSuepVCrY29tX+XwiImthU88ero0C4dpIPtc9Nz4Ja4OHQdBqAQDF2bmI2bQfTR4bWdNhWqX8pDRs7fIYcmPl24fU8/GEUwOf+wtOBfjBMeB+0qpLXgP84FTf26BVHON2HkF+UpqoremssdV9GFQF3DKGiMriHFPro3hiWhWmWvSIiMjaOAf6o8Hg7kj465iuLXLVFiamVXRpyQq9SSkAFKZmoDA1AxmXblbYh4OvZ/mJa4AvnBr4wNH/fgIrXfTIr2d7eDRvbKqHQxXgljFEVFYhS3mtjsUnpitWrND928uLKxoSUd0TNn20KDFN2HMCeQnJcArwUzAqy6cpKsatn7dWu5/SrX5QpkxURqWCo5+XbL5wUy56VGOcQwJExznRTEyJ6jKW8lofi09MZ8yYoXQIRESKChk3ELYuTijJyQMACFotbv22HW1erf6+zrVZ7LYIWaJoU88emsIi099MEGQlvLZODmg8aZjp70V6SRciy4u9C0GrhUqtVigiIlISS3mtj8UnpkREdZ2tkyMaTxwqWu01ctUWtH5lJhdzq8CNHzaIjv17d8CIQytRlHHv/mJTCSnIS0hGfkIK8hJTkZeQjLyElP8dp0BbVFyt+zeaOBR2rs7V6oOqzllSyqspLEJBSgYc/b0VioiIlCTdLoalvJaPiSkRkRUImxEuSkwzr9xC2vlr8OnYUrmgLFhu3F0k7D4mamv6xPj7KyV7uaOelzs8W4WVe70gCChMz9KbuOYlpCA/8cF/tcUlsuvtPVzR9s0nTf64qHyO9X2gsrWFUPLg95ETk8jElKiOkm4Xw1Jey8fElIjICvj36QiXRgHIuZOga4tctYWJaTlurtyiW8kYAOxcndFo4pAqX69SqeDg7QEHbw+gzUPlnidotShMyxQlrhAENBjYFa6NG1bnIZCB1DY2cG7oJ/p/JDcmEb5dWisYFREpQavRoPhejqiNpbyWjxMviIisgEqtRui00aK227/vhLa4euWmtZGg1eLmTxtFbY0fHQ47ZyeT30ulVsPB1wtebR9Cw+G98dDscXjoifFMShXCLWOICJCPlgIs5bUGioyYvvfee3rb33777Sqfaw767k9EZCnCpo/Ghf98pzsuTM1A3M4jCA4foGBUlifx4GnkRMWL2h56YpxC0VBNcglugKQyxznRCeWeS0S1l77ElKW8lk+RxPSdd97Ru2CHvsSwvHPNgYkpEVkyt7Bg+PVsj+Rjf+vaIn/eysRU4uaP4tFSj9Zh8OnaRqFoqCY5h4hHTHM4YkpUJ0lX5FXb28HG0UGhaKiqFC3lFQRB92XIueb4IiKyBmEzwkXHsVsjUJiepVA0lqcw4x6i1+8VtT30xDiuXlxHSLeMyY3hXqZEdZFsRV4PV/4dsAKKJqYqlarKT5LSc83xRURkLRpNGgqbeva6Y21RMW6v3qlgRJbl1m/bRfuUqu1sETp1lIIRUU2SbhnDxJSobuKKvNZJscSUo6VERIar5+GGoDHi0t1bP29VKBrLIy3jDR47EA4+/9/encfHdK9/AP/MZJNVEBJBQhJqqS1iLULtW2Jp6KV2VcultpYuikuL3lapUtpbtKq2WqOq9tipfV8SkYQIgkQmezLn94dfps6ZhMxkZs4sn/frlde953G+3/NM0x558t3KyJQNmZp0xDTr0VPkZWbJlA0RyUU6lZcbH1kGWQpTtVqt9ZWfn1/se43xVdTziYjMjXQ676OTl5B6I1ambMxH8tmreHL+uijGTY9si2sVH61YegLXmRLZmsKm8pL543ExREQWplLH5nD2LieKRf+8XaZszId0tNS1ig8qtm8mUzYkBwd3V62REVUcp/MS2RrpiCmn8loGWXblJd3dv38fJ0+eRGxsLNLT0+Hs7Aw/Pz+EhISgWrVqcqdHRCaktLdHwIBuuLLgF00sevUOBM8ZB4XSNn/fmJeZhdtrdopi1Yf1hNLOTqaMSC5u/r548sIPpVxnSmR7pGtMOZXXMtjmTzAWJDIyEi1btkSlSpXQq1cvTJo0CdOnT8eUKVPQt29fBAQEoEGDBvjll1/Mer3sihUrCt14asiQIXKnRmSRpNN5M+4+wP0Dp2TKRn5xm/chJ/WFH0QUClQf2lO2fEg+3ACJiLSm8rIwtQgsTM2USqXCW2+9hbCwMBw9evSlReeFCxcwePBgtG3bFg8ePCjyPrk8ePAAU6ZMkTsNIqtStl4NlK3/migWbcObIN3832bRtW/7ZnDz95UpG5KTdAMknmVKZHu0Nj/iGlOLwMLUDKlUKrRv3x6bNm3SqV1UVBRatmyJpCTz+kt4/PjxePr0qdxpEFkd6ahp3Ka9yFVlyJSNfJ7FJCDp4N+iWHVuemSzOGJKRDwuxjKxMDVDw4YNw8mTJ0UxPz8/LFy4EJcuXcLTp09x9epV/Pjjj6hVq5bovujoaPTu3Rt5eXmmTLlIO3bswIYNG+ROg8gqBfTvCsULayjz0jNxZ9MeGTOSx60V4k2PnMqWhn/PN2XKhuTmyhFTIpvHqbyWySIK06SkJMTHx2u+srJKdiZZZmamqL+HDx8aKNOSi4yMxMaNG0Wx0NBQXLx4Ee+//z5ef/11eHp6olatWhgxYgTOnTuHiIgI0f3Hjx/HsmXLTJl2oVQqFcaMGaO5rlOnDnx9ObWOyFCcvcuhUuc3RDFbO9NUnZeH6FXiHYkDB3aHnZOjTBmR3KRTedPj70NQq2XKhojkwKm8lsnsC9OnT5+iWrVqmq9atWpBpVKVqE+VSoVatWpp+qxZsyYyMzMNlLH+BEHA9OnTRTE/Pz9ERkaidOnShbZxcnLC2rVr0ahRI1H8888/R0aGvFP6PvroIyQkJAAAFAoFli1bBgcHB1lzIrI20um89w/8DZUNTV2899cxZCSKf7nIaby2zc1fXJiqc3KR+fCJTNkQkakJgsCpvBbK7AvTX375BdnZ2ZrNf4YMGQIvL68S9Vm+fHkMHjwYgiBAEASkpqZi7dq1hki3RLZt24YLFy6IYosWLYK7+8t/y2NnZ4cff/xRFEtKStKKmdKJEyewdOlSzfXw4cPRsmVL2fIhslZVeoSKfxMsCIhZbTujpjclZ5d6NX4dZevWkCkbMgfOPl5QOohPw+M6UyLbkafKgJCfL4pxKq9lMPvCdPt28RStQYMGGaTfoUOHAng+kgcAmzdvftntJiFdi1m1alWEh4cXq23Dhg21Cj/plGBTyc3Nxbvvvgv1/0+dKl++PObPny9LLkTWzr6UE6r16yyKRf8SadbHRxlK5oPHSIiMEsU4WkoKpRIulb1FMRamRLZDur4U4FReS2HWhWlmZiaOHj2qKR59fX3RtGlTg/TduHFjVKlSBcDzIf+oqChZNwzKzc3Fzp3iw+EHDhyo+ezFIT0T9Pjx47Ksn503bx4uX76suf76669RtmxZk+dBZCuk03mf3YzDo5MXZcrGdKJ/2Q7hhfe2nXMpBLzd+SUtyFbwyBgi2yVdXwqFAo4ebvIkQzox68L02rVryMnJAfB8ZLNFixYG7b9FixaaUYWMjAxcv37doP3r4vjx40hNTRXF2rRpo1Mf0vvVajV27dpVwsx0c+PGDXz++eea67Zt22LgwIEmzYHI1pRvVg8e1f1FMWvfBEkQBNySTOOtGtEBjqX5W3HikTFEtky6vtTR0x0KpVmXPPT/zPq7dOPGDdF1w4YNDdp/gwYNXvo8U7p4UTy6YWdnp/PocGBgILy9xdOXLl26VOLciksQBIwcORLZ2dkAnm/MZA67AxNZO4VCgcBBPUSx2+t2IT87R6aMjO/hsfNIvXFHFKsxorc8yZDZ4ZExRLZLOpWXGx9ZDrMuTJOTkwFAM6rp4+Pzstt1Ji3iHjx4YND+dSEdrfXz84Orq6vO/UjPNTXlKPAPP/yAQ4cOaa6nTZuGGjW4CQmRKQQN7C66znn6DAmRB2XJxRSko6UeNfzh3TJYpmzI3GgdGROXKFMmRGRqPCrGcpl1YZqWJh6Kf9XutLoq6K9gHaf0eaZ07do10bWfn59e/RSsmy1gqsL0/v37mDp1qua6Ro0a+Oijj0zybCIC3Px94dOmsSgWbaXTeXPT0hG74S9RrPqwXjqtySfrJj0yhiOmRLZDayovR0wthlkXpi4uLqJr6RrMknr27PlvVApGZO3s7Azavy4SE8W/zZUWmMUlLWjv3bund066+Pe//y36/ixduhROTk4meTYRPSfdBOnun0eR+fCxTNkYT+z6XchL/+fsaYWdndZnJ9smncqbnfwUeRnyn1dORMbHqbyWy/7Vt8in4LzSgt+CG3qqbVKS+DeoJT0ftSRUKpXo2sNDv/+IpO0yMzOhVquhNOKi761bt4qO23nnnXfQrl07oz2vOB4+fIhHjx7p1CY6OtpI2RCZRtU+7XFi7OfIy8gCAAh5ebj9207UmWBdG5Dd/J/4eK/K3VrBxUe+9zeZH9cq2kt/0hOSUPq1ajJkQ0SmxKm8lsusC9Py5cuLrg8dOmTQ6aGHDx9+6fNMSVqYOjs769VPYe1UKpXehe6rPHv2DGPHjtVclylTBl9//bVRnqWLpUuXYtasWXKnQWRSDu6u8O/dHjG/7tDEon+JtKrC9OmVaDw6Kd7UrQbPLiUJBzcXOJUtjewn/8zkUcWzMCWyBZzKa7nMeipvo0aNNKOlgiDg8OHDBpvOm5KSgqioKNGapHr16hmkb32kp6eLrkuVKqVXP0UVpsYydepU0TTk+fPno0KFCkZ7HhG9nHRK65Nz1/Hk0k2ZsjE86aZHzhXLo3LXVjJlQ+ZMOp2XR8YQ2QZO5bVcZl2Yenl5oW7duprrzMxMzJs3zyB9z58/H5mZ/6w3qV69ut7rOm3VkSNHsHz5cs31G2+8gREjRsiYERH5tG0Ml0riXw5Zy5mm+Tm5iF69QxQLGhwGpb1ZT/4hmUjPMlXFsTAlsgWcymu5zP5v865du+LixYtQKBQQBAELFy5Ely5d0Lp1a737jIqKwjfffKPpU6FQoHv37q9uaESurq5ISUnRXGdlZenVz4vFdgE3Nzd90ypSdnY23n33Xc3GUQ4ODli+fLnZ7Io5ZswYRERE6NQmOjoaPXv2NE5CRCaitLND4MAeuDTvJ00s5tc/0Gju+xZfwCVsP4Ds5KeiWPVhPeVJhsyem7+v6JojpkS2QTpiyqm8lsPsf0p5//33sWjRImRlZUGhUCA7Oxs9e/bExo0b9dpgZ+/evejXrx9ycnI0RZSTkxMmTpxo6NR14ubmJipMCyswi8NUhekXX3whOopm8uTJqFOnjsGfo68KFSpwSjHZrKBB4sI0MykZiXuOo3IXy57yelMyjde7dSOUru4vUzZk7rRGTFmYEtkE6RpTTuW1HGY9lRcAvL298d5772lG5hQKBVJSUtCpUyeMHTsWt2/fLlY/t2/fxujRo9G5c2c8ffpUNFo6cuRIVKpUyZgf45WkxWPBUTa6krZzdnY2+I68V69eFU2prlatGj777DODPoOI9OdZKwBejV8XxSz9TFNVQhLu/XVMFOOmR/QyblprTHmWKZEt0JrKy8LUYpj9iCkAfP755zhw4AAuXrwI4HlxqlarsWzZMixfvhzNmzfHG2+8gbp166JMmTJwc3ODSqXC06dPcfHiRRw9ehQnTpyAIAiaYrSgn/r162Pu3LlyfjwAgK+vr2gEMiEhQa9+pO18fX2LuFN/I0aMQE5OjuZ6yZIleu8iTETGETQ4DMl/X9Zcx289gJzUNDiWtsy1NtErtwL//wtKAHDwcEPVtzrIlxCZPemIaXpCEgS1GgojHp9GRPLKy8pGfla2KMY1ppbDIgpTZ2dnbNu2DU2aNNGcTVkw4ikIAo4dO4Zjx469tI8XR1wLrn19fREZGWkWRVXNmjWxf/9+zXV8fLxe/Ujb1apVq0R5Feb48eOa/+/l5YWoqChERUUVq+3Tp+L1YWfOnMG0adNEsYiICDRq1KjkiRLZsGpvd8apiV9CnZsHAMjPysadjbtRY0QfmTPTnaBW49bKraJYQP8usHeR/91N5ks6YqrOyUXmwyc885bIikmn8QKcymtJLKIwBQA/Pz+cOnUKffr0wZkzZ6BQKERF5qu8uCmPIAho1qwZNm7cKPsU3gLSAjIhIQHp6elwdXXVqZ8XR12B5wWvMSUnJ2P+/Pl6t798+TIuX74sitWsWZOFKVEJlSrnicrdQxG/ZZ8mFv3zdossTO/vPwXVnURRrMbw3jJlQ5bC2ccLSgd7zS9nACA9LpGFKZEVk07jBThiakksaj6Ln58fjhw5gg8//BCurq6iqbmv+iq4193dHdOnT8ehQ4fMpigFtM9QzcvLw6lTp3TqIyYmBklJ4jU0Lx63Q0S2RXqm6YMj5/AsRr9lAnK6+dNm0XWZejVQrlFtmbIhS6FQKuFS2VsUU3GdKZFVk+7Ia+/qDKWDg0zZkK4sqjAFnu+gO2/ePMTFxWHWrFkICQmBUqnUFJ6FfdnZ2aFJkyaYO3cu4uPjMWvWLNib2bEJzZs3R+nSpUWxgwcP6tSHdDqtUqlE586dS5oaEVmoyl1awqmcpygWs9qyNkHKfpKK+C37RbEaw3uZzdFUZN54ZAyRbZFO5eXGR5bFvKozHZQpUwbTp0/H9OnTkZaWhlOnTuHBgwd48uQJnj17Bg8PD5QrVw4+Pj5o3LixUY5MMSQHBwd07doVa9eu1cRWr16NmTNnFvsHsJ9//ll03bx5c6McmVKcqdNFqVq1KuLi4jTXgwcPxqpVqwyQFRFJ2Tk6IKB/V1xb/JsmFv1LJBp8NspiNoCJWfMH8rP/2WxN6eiAgAHdZMyILAmPjCGyLdKpvFxfalkstjB9kbu7u15nmpqbvn37igrT2NhYREZGIiws7CWtnrtw4QIOHTokikVERBg8RyKyLEGDeogKU1XsPTw4chY+rUNkzKp4BEHAzf+Jp/H692qHUpJRYKKi8MgYItsincrL9aWWxTJ+ZW4jwsPDtdaajh8/HiqV6qXt8vPzMWLECFHMx8cH7777brGeK12P26ZNG53yJiLzVa5RbXjWDhTFLOVM08dnruLpxZuiWI0R3PSIik/ryBiOmBJZNZ5hatlYmJoRhUKBOXPmiGJxcXEICwvDs2fau4wBQE5ODgYMGIDTp0+L4p988glcXFyMlisRWQaFQoGgwT1EsTsbdiMvI1OmjIpPuumRW1VfVHyziUzZkCWSjphy8yMi6yZdY8qpvJaFhamZ6dGjB/r0ER/ncODAAdSrVw+LFy/G1atXkZKSghs3bmDFihVo2LAh1q9fL7q/efPmGDVqlCnTJiIzFjCgm2hNaW5aOuK3HZAxo1fLy8jE7d/+FMWqD+1pMWtjyTy4SgrT7OSnyE3PkCkbIjI2jphaNqtYY2ptVq5ciYSEBNFxMXFxcRg/fvwr2wYGBmLTpk1mt+swEcnHtZI3KrZvhsTdxzSx6J+3I+BfXWXM6uXubNqL3GcvLGNQKBA0JFy+hMgiSafyAkB6wgN41qwmQzZEZGxcY2rZLPpXz48ePcLGjRsxYcIEtG7dGrVr14aPjw9cXV3h4+OD2rVro3Xr1pg4cSI2btyI5ORkuVMuFnd3d+zduxe9evXSqV2rVq1w9OhRVKxY8dU3E5FNCRokns6buOcEMhIfypTNq936aYvoulLH5lrTMolexcHVRevIJK4zJbJenMpr2SxyWO3s2bNYsGABfv/9d+Tm5mriLx5jkpmZiYcPH0KhUODo0aP49ttv4eDggH79+mHChAlo2LChHKkXm7u7OzZv3ozt27dj/vz5OHbsWJH31qtXD5MmTcKgQYN4th8RFcq/15twcHdFblo6AEBQqxGz5g/U/WCozJlpS70Vh6Qo8br56sO56RHpx9XPB9mPUzTXLEyJrBen8lo2iypMc3NzMW3aNCxatAiCIGidp1lYUfbiPTk5Ofj111+xZs0aTJw4EV988QUcHByMnndJhIWFISwsDImJiThx4gTu3LmD9PR0ODs7o0qVKmjcuDECAgJK9IySnEuqqzt37pjsWUT0D3sXZ1SN6IhbK/4ZiYz+eTtenzLE7H6hdWvFVtG1k1cZ+IW1kSUXsnxufhXx5Nx1zTU3QCKyXpzKa9kspjBNSUlBhw4dcPbsWU0h9apCtOD4E+mfC4KABQsWICoqCnv27EHp0qWNm7wB+Pr6ondvjhgQkf6CBvUQFaYpV2Lw+Ow1eDWqLWNWYuq8PET/vF0UCxrYHXZOjjJlRJZOugESR0yJrJd0xJRTeS2LRawxzcnJQXh4OM6cOQNBEEQFZ0GhqVAo4OfnhwYNGuCNN95AgwYN4O/vD4VCIRpdLWgrCALOnDmD8PBw5OTkyPnxiIhMwrtVMNyq+opi0b9sL+Juedz98wgy7z8SxaoP1229PdGLpBsgqeJYmBJZI3Venma5SgFO5bUsFlGYfvjhhzh8+LBWQerp6YkxY8bg4MGDSE1NRWxsLM6ePYvDhw/j7NmzuH37Np49e4aoqCiMHTsWZcqUERWogiDg8OHDmDp1qpwfj4jIJBRKpdYmSLd/+xP5OblFtDA96aZH5ZvWRZk6QTJlQ9ZAumkWR0yJrFNOqkorxqm8lsXsC9Pbt2/j+++/1xohHTVqFG7fvo3vvvsOrVu3hqura6HtXVxc0KpVKyxevBi3b9/GmDFjNH9WUJx+//33iI2NNcnnISKSU+BAcWGanfwU93YdkSkbsYykZCTsOCSKcbSUSsrNX1KYJiRBUKtlyoaIjEU6jRfgVF5LY/aF6fz58zU77wqCADs7OyxfvhxLly7VeW2oh4cHvvvuO/z444+itae5ubn48ssvDZo3EZE58gjyQ4U3xLuSS9d0yiXml+0Q8vM11/YupVCtX2cZMyJrIF1jqs7NQ+aDxzJlQ0TGIj0qRunoADvnUjJlQ/ow+8L0jz/+0IxsKhQKTJkyBe+++26J+hw2bBg++OADTZ+CICAyMtJAGRMRmTfpdN6EyChkvXCchhwEQcBNyTTeav06w9HDTaaMyFo4e5eD0kG81yOn8xJZH+mOvE5lPMxu13l6ObMuTC9fvozExETNdbly5TBz5kyD9D1z5kx4eXlpru/fv4/Lly8bpG8iInNWtW9H0S636tw8xK7fJWNGwIMjZ/HsZpwoxmm8ZAgKpRKuVSQbIPHIGCKro3WGKdeXWhyzLkxv3ryp+f8KhQK9evWCk5OTQfp2cnJCr169RMfLvPg8IiJr5eTpAb+eb4pick/nlW56VPq1qqjQooE8yZDVkU7nVcUlFnEnEVkq6VRe7shrecy6MH306PmRAQXFY/369Q3af4MGDUTXDx8+NGj/RETmKlAynTf51GWkXJdnE7icZyrc2bhbFKs+vBenYJHBSI+MSeeIKZHVkU7lZWFqecy6MH3y5InoukKFCgbtv2Aqb8EPPykpKQbtn4jIXFXq2BzO3uVEsRiZzjSNXbcLeRlZmmuFvT2CBoXJkgtZJzd/8fm9XGNKZH2kU3mdOJXX4ph1YSrddVdaqJZUQSFaMCLr4cHfrBCRbVDa2yNgQDdRLHr1Dqhf2BXXVG7+tFl0XaV7a62imagk3Pyka0xZmBJZG46YWj6zLkzLly8P4J8RzWvXrhm0f2l/Bc8jIrIFQYPFo5IZdx8g6eDfJs3hyaWbSD4l3niuxojeJs2BrJ90jSmn8hJZH64xtXxmXZhWq1ZN8/8FQcDmzZtfcrduCvp7cQ1T1apVDdY/EZG5K1uvBso2qCmKmXoTJOmmRy6+FVCpUwuT5kDWT1qYZj9OQW56hkzZEJExcFdey2fWhWlwcDDKlCmjub579y6+/fZbg/S9dOlSxMfHa67LlCmDkJAQg/RNRGQppGeaxm3ai9y0dJM8Oz87BzGrd4jzGRIGpb19ES2I9ONaxVsrxlFTIuuitcaUI6YWx6wLU6VSiY4dO0IQBCgUCgiCgI8//hgHDx4sUb+HDx/GtGnTNH0qFAp07NiRO0ASkc0J6N8VCjs7zXVeRhbubN5rkmfHbzuA7Cepolj1YTy7lAzPwdUFTuU8RTFugERkXbI5ldfimXVhCgBTpkzRFIwKhQIZGRno1q0bli5dqld/y5YtQ5cuXZCe/s+IgEKhwJQpUwySLxGRJXH2LodKnd8QxUw1nfemZBqvT5vG8AisYpJnk+1x85ecZcrClMiqcMTU8pl9YdqoUSNERERods5VKBTIzMzEuHHj0KBBAyxbtuyV548+evQI33//PRo2bIixY8ciIyNDNFoaERGB4OBgU3wcIiKzI90EKenA31DFJRr1maq4RCTuOS6K1RjO0VIyHm6ARGS9BEHQ3vyIa0wtjkUs5FmyZAnOnj2LmJgYANAUlRcvXsTYsWMxduxYVK5cGbVq1YKnpydcXV2Rnp6OlJQUXLt2DXfv3gUAUXFb8L9BQUH47rvv5PlgRERmoEqPUDh6uov+Uo/qPw0e1f2gdLCH0sEeiv//X6WDgyZW6Jejwwttir43+pdI4P/fyQDgWNod/n3ay/HxyUa48sgYIquVp8qAIDnujFN5LY9FFKblypXDrl270LJlSyQlJUGhUGiK04JiMyEhQVOAvkh44Qcf4J+iVBAEVKxYEbt27UK5cjwvj4hsl30pJ1Tr1xk3lm/UxB4eO4+Hx86bLIeAAV1h71zKZM8j2+PGEVMiqyU9wxTgVF5LZPZTeQsEBATgwoUL6Ny5s2jk88WvgkL1xa+i7unatSvOnz8vOpKGiMhWSafzmlp1TuMlI9OeyssRUyJrIV1fCoUCDu6u8iRDerOYwhQAypcvj507d+LXX39FcHCwqAAFtAvVF0dHC75CQkLw22+/YceOHShfvrycH4eIyGyUb1YPlbu1luXZXo1fh1dwbVmeTbbDTTKVNz0hCYJaLVM2RGRI0hFTR093KJQWVeYQLGQqr1T//v3Rv39/nDx5Env27MHRo0dx9uxZPH78GOoX/pJRKpXw8vJCcHAwWrRogU6dOqFx48YyZk5EZJ4UCgXarP8S8VsPIPXGHahz86DOzYU6Nw9Cbt7/Xxf1lfvye3JytWJCXh4AoFxwLbT+9QuZPz3ZAumIqTo3D5lJyXDxrSBTRkRkKNKNjziN1zJZZGFaoGnTpmjatKko9uzZM6SlpcHd3R0eHvyXkoiouBxcXRA4oJtJniUIAoT8fCjtLfqvIbIgzt7loHR0gDonVxNTxd9nYUpkBaRTebkjr2WyujFuDw8PVKpUiUUpEZEZUygULErJpBRKJVyrSKbzcgMkIqugNZWXI6YWyeoKUyIiIqLC8MgYIuvEqbzWgYUpERER2QQeGUNknbSm8rIwtUgsTImIiMgmSDdAUsUlypQJERlSYbvykuVhYUpEREQ2QevIGI6YElkFTuW1DixMiYiIyCa4+vuKrtO5xpTIKnAqr3WQZUvEX375RY7HvtKgQYPkToGIiIiMRDpimv0kFbmqDDi4uciUEREZAqfyWgdZCtMhQ4ZAoVDI8eiXYmFKRERkvaTHxQBAekISPGsFyJANERmKdMSUU3ktk6xTeQVBMJsvIiIism72Ls5w8iojinE6L5Hlk64x5VReyyTr6ebmMmrKwpSIiMg2uPn5IDv5qeZaFcfClMiS5WVlIz8rWxRjYWqZZBsxlXuElKOlREREtkfryBiOmBJZNOk0XgBw4hpTiyTLiGlsbKwcjyUiIiIb56p1ZAwLUyJLJp3GC3DzI0slS2Hq7+8vx2OJiIjIxrlpHRnDs0yJLJl0R157NxcoHRxkyoZKgueYEhERkc2QHhnDqbxElk3rDFOOllosFqZERERkM6RrTDPuPoA6P1+mbIiopKRTeXlUjOViYUpEREQ2Q1qYqnPzkPXgsUzZEFFJSafyckdey8XClIiIiGyGc4WyUDqK15/xyBgiy8WpvNaDhSkRERHZDIVSCdcqXGdKZC2khSmn8louWXblNaSEhAScO3cOycnJePz4MTIzMwEAn332mcyZERERkTly86+ItJgEzTWPjCGyXNI1ppzKa7kssjBNTEzEggULsGXLFty5c6fQe15WmP72229ISvpne/hWrVqhcePGhk6TiIiIzJB0nSmPjCGyXNI1phwxtVwWVZjm5+fj448/xrfffoucnBwIglDofQqF4qX93Lt3D9OmTdNcv/nmm9izZ49BcyUiIiLzpHVkzJ17MmVCRCXFNabWw2LWmCYnJ6Nt27b46quvkJ2dDUEQoFAotL6KY9SoUfDweP7bFEEQcODAASQkJLyiFREREVkD6Yjp3Z1HcG/3MZmyIaKS4FRe62ERhWlOTg7CwsJw5MgRUUEqCILoq7jc3d3Rt29fTRtBELB161YjZU9ERETmxLd9MyiU//wIJKjVONj3A6Rcj5UxKyLSB6fyWg+LKEzff/99nDhxQlSQlitXDrNnz8bZs2fx5MkT1K9fX6c++/btC+Cfab979+41eN5ERERkftz8fVF/+khRLCc1DXt7jEP2k1SZsiIifXAqr/Uw+8L0xo0b+N///qcpSAGgQ4cOiI6OxieffIIGDRrA09NT537btGkjms4bFRVlyLSJiIjIjDX4bBSqRnQUxdKi43EgYjLUubkyZUVEulDn5SE3LV0U41Rey2X2hencuXORn58P4PnoZqNGjfDHH39oikp92dnZoWHDhppiNy0tDfHx8SXOl4iIiMyfQqlEq1WzUa5RbVH8/v5TODF+nk5LhIhIHjmpKq0Yp/JaLrMvTP/44w/RaOn//vc/2NsbZjPhRo0aia6vX79ukH6JiIjI/Nm7OKPdtkVwrlheFL+xbCOuLVknU1ZEVFzSabwAp/JaMrMuTM+dO4fHjx8DeD5a2rJlS9SrV89g/fv5+Ymu793jdvFERES2xLWSN9ptWwS7Uk6i+KkJX+LenuMyZUVExSHd+Ejp6AA751IyZUMlZdaF6a1bt0TX7dq1M2j/0rWpz55p/9aFiIiIrFv5xq+j5cr/iGJCfj4ORkxB6g3u1EtkrqRHxTiV8Sj28ZFkfsy6MH306BEAaKbxVq1a1aD9u7q6AvhnZ9709PSX3U5ERERWKuDtLqg//T1R7PlOveO5Uy+RmdLakZfrSy2aWRem0hFMNzc3g/afmvr8L5qCwtfQ/RMREZHlaDhzNPz7tBfFnt2Kw4G+U7hTL5EZkk7l5fpSy2bWhWmZMmVE1wWFpKE8fPhQdF2uXDmD9k9ERESWQ6FUotXPc1AuuJYofn/fSZyc8KVMWRFRUaRTeTliatnMujAtX/75LnkFU20TEhIM2v/JkydF115eXgbtn4iIiCyLg6tLoTv1Xl+6njv1EpkZ6VReHhVj2cy6MPX39xddSwvJksjOzkZUVJRogXRwcLDB+iciIiLL5FrZB+22LtTaqffk+/O5Uy+RGeFUXuti1oVpcHCwZudcQRCwf/9+zfExJbVixQqkpKRormvVqqUZoSUiIiLbVr5JXbRcMUsUE/LzcbDvFKTevCNPUkQkws2PrItZF6ZKpRLt27fXbE6Uk5ODr776qsT93r9/H7NmzYJCoYAgCFAoFOjUqVOJ+yUiIiLrEfCvrqj/6UhRLCclDXt7jNMaqSEi0yvsuBiyXGZdmALAyJHP/0IoKCIXLFiAQ4cO6d1fSkoKevfuLdr4yM7ODuPHjy9xrkRERGRdGs4ao71T7804HOROvUSy0xox5VRei2b2hWn79u3Rtm1bzchmbm4uunfvjs2bN+vc18GDBxESEoJTp06JRkv/9a9/aa1nJSIiIirYqbdsw5qieOLeEzg58b8yZUVEQCFrTDliatHMvjAFgIULF8LV1RXA85FTlUqFiIgItGvXDuvWrUN8fLxWm9zcXCQlJeHkyZP473//i+bNm6Ndu3a4ffu2ZmqwQqGAj48PvvySW8ATERFR4Z7v1PstnH3Eu/dfX7IO179fL1NWRMSpvNbFXu4EiqNu3br47bff0KtXL80opyAIOHjwIA4ePKi5r6DgFAQBpUqV0uqnoG3B/3dwcMD69evh7e1tks9BRERElsmtyvOdev8MHYb87BxN/MS4efCo4Q/fds1kzI7I9giCwHNMrYxFjJgCQI8ePfDLL7/A2dkZAEQFZsHXi16MF3y92Mbd3R2bNm1Cy5YtTftBiIiIyCKVb1oPbxSyU++BCO7US2RquWnpEPLzRTGuMbVsFlOYAkD//v1x8uRJ1K5dWzQdt7hfwPOitGbNmjh27Bi6d+8u58chIiIiCxPYvxvqffKuKJbz9Bl36iUyMeloKcCpvJbOogpTAKhTpw4uXryI9evXIzg4uNCRUaDwEdOgoCCsWrUKly9fRp06dWT+JERERGSJgv8zFn692olimp168/JkyorItkh35FUolXBwd5UpGzIEWdeYjho1CiNGjEBISIhO7RQKBSIiIhAREYG4uDhERUXh6NGjuHv3Lh4/foynT5/C2dkZXl5e8Pb2RtOmTdGhQwfUqlXLSJ+EiIiIbIVCqUTr1Z9jZ8t7eHL+uiaeuPcETk38L5ot/kjG7Ihsg3SGgkNpNyiUFjfmRi+QtTD94Ycf8OOPP6JOnToYMWIEBgwYgHLlyunUh7+/PwYNGoRBgwYZKUsiIiIiMQdXF7Tb/i12NP4XMh881sSvfbcWnnUCUXNUXxmzI7J+0hFTTuO1fLL/WkEQBFy+fBkTJ05EpUqV0K9fP/z1119yp0VERET0Um5VfPDm1oWwc3IUxU/8ey4S95+UKSsi28Adea2P7IXpi5sS5eTk4Pfff0fXrl3h7++PGTNm4M6dO/ImSERERFSECs3q442fCtmp963JSL0VJ1NWRNZPOpWXO/JaPtkLU0C8s27BRkUJCQmYM2cOgoKC0L59e6xbtw45OTmv7oyIiIjIhAIHdEO9j0eIYjlPn2Ffj3HITuFOvUTGwKm81kfWwvSDDz6Aj4+PaDddaZGqVqtx4MABDBgwABUrVsS4ceNw7tw5OdMmIiIiEgme/W+tnXpTb9zBwX4fcqdeIiPgVF7rI2thOn/+fCQkJCAyMhI9e/aEvb19oUVqQezp06dYunQpQkJCEBwcjKVLlyIlJUXOj0BERET0fKfeXz5H2fqvieKJu4/h1OSvZMqKyHppTeVlYWrxZJ/Kq1Qq0a1bN2zevBn37t3D119/jbp16750FFUQBJw/fx7jxo2Dr68vBgwYgH379sn8SYiIiMiWObg936nX2Vt8wsC1b3/D9eUbZcqKyDppTeXlGlOLJ+txMVJeXl6YOHEiJk6ciNOnT2PFihVYt26dZlS0oDgFoClQs7KysG7dOqxbtw7+/v4YNmwYBg8ejCpVqsj4SYiIiMgWuflVxJtbFuLPNsOgzsnVxE/8ey6cfbxQtm51o+dg51IKLj5eRn8OkZw4ldf6KISCYUkzlZ2djU2bNmHVqlXYv38/1Gq1pjgt8OJHUCgUUCqVaNeuHUaMGIHw8HA4ODiYOm2yQFeuXMHrr7+uub58+TLq1KkjY0ZERGSpYn7dgUMDP5bt+T5tG6PdloVwLM1RJLJOm2v3ROq125rr0HVfIqBfZxkzsg5y/jws+1TeV3FyckL//v2xe/duxMbGYsaMGahatepLp/rm5+djz5496NevH3x9fTFx4kRcunRJ5k9CREREtiLwne6o99Fw2Z6fdOBvHPzXVKjz82XLgchYHp28iLSYBFGMU3ktn9mPmBblwIED+Omnn7BlyxZkZmYCgGgkVTqKCgCNGjXCiBEj8K9//Qvu7pb1L+/9+/dx8uRJxMbGIj09Hc7OzvDz80NISAiqVasmd3oAgPz8fERHR+Py5ct48OABUlJS4OTkhLJly6JKlSpo2rSpWf9z54gpEREZkqBWY3+fSYjful+2HOpMHIgmCz6Q7flEhqZKSMKOJv2RmZSsiSns7dE3YTensBuAnD8PW2xhWiAtLQ2//fYbVq1ahZMnTwLAK6f6Ojs7o0+fPhg2bBhCQ0NNmq+uIiMjMX/+fBw7dgxFfavq16+PSZMmYeDAgVqf3diuXr2KHTt2YP/+/Th8+DAyMjKKvFepVCIkJARjxozB22+/DScnJxNm+mosTImIyNByVRk4PORTxG89AEGm0cs3fpyBGiP6yPJsIkPKTc/AzlZD8OTcdVG81vj+aLZomkxZWRcWpgZy7do1/PTTT1izZg0ePHgA4NWjqAEBARg+fDgGDRoEX19f0yb8EiqVCkOGDMGmTZuK3SY0NBTr16+Ht7e3ETN7bs2aNZg3bx4uX76sV/vAwECsXr0azZs3N3Bm+mNhSkRExqLOzYU6z/iFafLfl/FXh/dEGy8p7O3Ree8P8AkNMfrziYxFUKtxoO8UxG3aK4pXbNcUHf9cCiX3lDEIFqYGlp+fjx07dmDlypXYuXMn8vLyXjmKamdnh5ycHFOnWiiVSoX27dtrRoB1ERQUhMOHD8PHx8cImf3j7bffxvr160vUh52dHX7++WcMGDDAQFmVDAtTIiKyBrd+3oYjQ6aLYk7lPNHj1G9wD6gsU1ZEJXP2syW4MHu5KOZR3R/dT66BE3fkNRhufmRgdnZ2CA8Px9atW3H37l18+eWXqFWrlmbDJEEQCt0wyVwMGzZMqyj18/PDwoULcenSJTx9+hRXr17Fjz/+iFq1aonui46ORu/evZGXl2fKlAEATZs2xUcffYRdu3bh+vXrePLkCR49eoQzZ87gyy+/hJ+fn+j+/Px8DBkyBLt37zZ5rkRERNaq+uBwvP7BEFEs+3EK9vYYh5xnKnmSIiqB2+v+1CpKHT3d0T7yWxalVsQqR0yLcurUKaxYsQKrV69GVlaWJl5QqJpDcRoZGYmwsDBRLDQ0FNu2bUPp0qW17s/OzsbAgQOxcaP44O7Fixfj3//+t9HyLBgxLVu2LIYPH44RI0agRo0aL22TnZ2N8ePH44cffhDFq1WrhqtXr6JUqVJGy7c4OGJKRETWQp2fj/29JiAhMkoUr9y1Fdpt/xZKOzuZMiPSzaNTl/Bn6DDkZ2VrYgo7O3T4cykqdTCfJWHWgiOmJqBSqXDhwgVcuHBBs4uvudXkgiBg+nTx1Bs/Pz9ERkYWWpQCz4/TWbt2LRo1aiSKf/755y/diKik3Nzc8Mknn+D27dv48ssvX1mUAs9zXb58OQYNGiSKx8bGYuXKlcZKlYiIyOYo7ewQumYeytStLorf3XkYpz/8RqasiHSTfjcJ+8LfFxWlANB00VQWpVbI6gvTgwcPYvDgwfDx8cGoUaNw6tQpAP+MkpqTbdu24cKFC6LYokWLXnnEip2dHX788UdRLCkpSStmSMuXL8ecOXOKLJhfZuHChfD09BTFtm7dapjEiIiICADg4O6Kdtu/RanyZUTxKwt+wc2fNsuUFVHx5KZnYF/4+6JjYQCg5ui+qDX2bZmyImOyysI0ISEBs2fPRlBQENq1a4dff/0VGRkZWutLgX9GTatWrSpjxs9t2LBBdF21alWEh4cXq23Dhg3RsmVLUUw6vdeQ7EowBahMmTJa05WPHj1a0pSIiIhIwr1qJby5+RsoHexF8eOj5yDp0GmZsiJ6OUGtxpEh0/H47DVRvGK7pmi6aKpMWZGxWU1hmpOTg3Xr1qFjx46oVq0aZs6cidu3bxe52ZEgCHB0dMTbb7+NPXv2ICYmRtb8c3NzsXPnTlFM13NJhwwZIro+fvw4Hj58aIj0DK5+/fqi6/T0dKSlpcmUDRERkfXybhmMFj/MEMXUuXnY33sS0m7flSkroqKdn/U97vy+RxRzD/JD2w1f8VgYK2bxhenp06cxduxYVKxYEQMGDMC+ffugVqu1ilEAmoK0fv36+Pbbb5GYmIjffvsN7dq1k/lTPC8iU1NTRbE2bdro1If0frVajV27dpUwM+NwdnbWiqWnp8uQCRERkfWrPiQcr08ZLIpxp14yR7fX78L5/0h24C3tjvaRi+FUVvclZGQ57F99i/lJTk7G6tWrsXLlSly5cgWA9rmkBQripUuXRv/+/TF8+HAEBwebNuFiuHjxoujazs4OTZs21amPwMBAeHt748GDB5rYpUuXDJKfocXHx4uuFQoFvLy8ZMqGiIjI+jWaNwGp12ORsOOQJpZyNQZR/5rKnXrJLDz6+7LWGbwKOzu02fBfeNasJlNWZCoWM2KqVquxY8cO9O7dG5UqVcKUKVNw+fLlQqfqAv8UpG3atMHq1atx//59LFmyxCyLUgC4fv266NrPzw+urq469yM911Tar7mIihJvX+/v7w97e4v8PQkREZFFUNrZofWaefCsEyiK3915GKencqdeklf6vQeF7sDb5JsPUKljC5myIlMy+0rg+vXrWLlyJVavXq0ZCXzV6Kivry+GDBmCYcOGISAgwLQJ6+naNfHibj8/P736qVKliujaHAvTmzdv4vjx46JYly5dZMqGiIjIdjh6uKF95GJENhmA7OSnmviVr3+BZ+1A1BjWS8bsyFblZWQ+34H3/iNR/LVREaj173/JlBWZmlkWpiqVCmvXrsXKlStx8uRJAEUXowV/5uDggO7du2P48OHo3LkzlEqLGQwGACQmJoqupQVmcUkL2nv37umdk7HMmDFDK9avXz8ZMiEiIrI97tUqo92Wb7DrzRFQ5+Zp4sdHzYZHUBX4tA6RMTuyNYJajcNDpuPxmauieMU3m6DZt9PM7nhHMh6zKkwPHjyIFStWYPPmzcjMzATwT0FaWDEKADVr1sTw4cMxaNAglC9f3rQJG5BKJd54wMPDQ69+pO0yMzOhVqvNplDfsWMH1q1bJ4q1bt0aoaGhBn3Ow4cP8ejRo1ff+ILo6GiD5kBERGSuvFsGo8Xyz3Bk2GeamDo3D/v7TEaPU2vgXq2yjNmRLTn/n2W4s3G3KOYe5Ie2G7/mDrw2RvbCNCEhAatWrcKqVatw584dAK+equvm5oa+ffti+PDhaN68uUnzNRZpYVrYrrXFUVg7lUqld6FrSPfu3cPQoUNFMQcHByxevNjgz1q6dClmzZpl8H6JiIisRfWhPfH0SjSufP2LJpad/BR7e4xDt2Or4ejhJmN2ZAtiN/yF87OWiWLcgdd2yVqYduzYEfv379dsYFSgqNHR5s2bY/jw4ejXr59eGwOZM+lRKaVKldKrH3MtTLOystCrVy8kJyeL4rNmzUK9evVkyoqIiMi2hcyfiNTrd3D3jxd26r0Sg6j+09Bu2yLu1EtGk3z6Cg4P/lQUUyiV3IHXhsk6v3Pv3r2vPHPUy8sLkydPxtWrV3H06FEMGzbM6opSa6dWqzFw4ED8/fffoniXLl0wbdo0mbIiIiIipZ0dQn8rZKfePw7hzLSF8iRFVo878FJhZJ/KW9joqJ2dHTp16oThw4ejR48eNnGMiKurK1JSUjTXWVlZevVTsDb3RW5u8k7FGTduHH7//XdRrH79+li3bp3RFrSPGTMGEREROrWJjo5Gz549jZIPERGRuXL0cEP77YsR2aQ/sh+naOKXv/oZnrUDUX1oT9lyI+tTsANvRuJDUbzGyLdQa1x/mbIic2AWFV/BVN2AgAAMGzYMQ4YMga+vr8xZmZabm5uoMC2swCwOcytMP/vsMyxdulQUCwwMxK5du4w6vbhChQqoUKGC0fonIiKyJu4BlfHm5gX4q/1I0U69x977D9yDqsCnVSMZsyNrIQgCDg/9TGsHXp82jdH8u4+4A6+Nk32rVicnJwwYMAD79+9HdHQ0Pv74Y5srSgHt4vHZs2d69SNt5+zsLNuOvAsWLMDs2bNFMV9fX+zZswc+Pj6y5ERERESF82kdgubLpoti6tw87O89CWmxd2XKiqzJ+f8sw50Nf4li7oFV0PZ37sBLMhemS5Yswf3797F69Wq0adNGzlRkJy3GExIS9OpH2k6uIv/HH3/E5MmTRTEvLy/s2bMH1apxQTsREZE5qjGsF+pMGiSKZSc/xd6w8chNSy+iFdGrxW7cjfMzvxfFHDzc0D5yMUqV85QnKTIrshamo0ePRunS3AoaeH4e64vi4+P16kfarlatWnrnpK+1a9di1KhRopiHhwd27dqF2rVrmzwfIiIiKr6QLyeictdWoljK5WhE9Z8KdX6+TFmRJUs+c7XwHXjXfwnPWgEyZUXmRvapvPSctIBMSEjQOkKmOK5fvy66lha8xrZt2zYMGjQIarVaE3NxccGOHTvQqBHXpxAREZk7pZ0dQtfOh2dt8U69CTsO4cxHi2TKiixVRuJD7Asbj/xM8caejRdMQeXOLWXKiswRC1MzIT3LMy8vD6dOndKpj5iYGCQlJYlidevWLXFuxbV7927069cPeXn/bJrg6OiILVu2oFWrVi9pSURERObE8f+nWDpJplhe/u8q3Fq1TZ6kyOIUuQPvu31Qe/wAmbIic8XC1Ew0b95ca1rzwYMHdeojKipKdK1UKtG5c+eSplYsR44cQa9evZCd/c95VPb29li3bh06duxokhyIiIjIcNwDKuPNTQugkBzbd2zkLDw4clamrMhSCIKAI8NmIPn0FVHcJzQEzb77mDvwkhYWpmbCwcEBXbt2FcVWr16tOUqnOH7++WfRdfPmzU1yZMqZM2fQrVs3ZGRkaGJKpRKrVq1Cr169jP58IiIiMg6f0BC0+P4TUUydm4d9vSYi7c49mbIiS3Bh9nLErt8lirkHVEbbTQtg58gdeEkbC1Mz0rdvX9F1bGwsIiMji9X2woULOHTokCgWERFhsNyKcvXqVXTu3FnrmJrvv/8eAwZwigYREZGlqzGiD+pMHCiKZSc/xd4e47hTLxUqduNunJshPseeO/DSq7AwNSPh4eFaa03Hjx8PlUr10nb5+fkYMWKEKObj44N33323WM9VKBSir+Ie3XP79m106NABycnJoviCBQswcuTIYvVBRERE5i/kv5NQqYt4o5qUy9GIGjCNO/WSyEt34JVsqEX0IvtX30KmolAoMGfOHISFhWlicXFxCAsLw9atW+Hh4aHVJicnB4MGDcLp06dF8U8++QQuLi5GyzUxMRHt27dHYmKiKD579mxMnDjRaM8lIiIi01Pa2aHN2vnY0XwgUq/d1sQTIqOwtnwolPZ2Rs/BxbcCQuZPQKVObxj9WdYkLysbf0/6L+Ijo6DOzjH683KfpSNf8pzGX0/mDrz0SixMzUyPHj3Qp08fbNq0SRM7cOAA6tWrh8mTJ6Ndu3bw9fXFgwcPcPToUXz99de4evWqqI/mzZtrnSNqaBEREYiNjRXFKlasCJVKhWnTpundJ4+UISIiMk+Opd3RPnIxdjTpj+wnqZp4ztNnL2llOFmPnmJv2Hh0ObgCFZrXN8kzLZ0gCDg6fAZu/7ZTthxqjOiN2u+/I9vzyXKwMDVDK1euREJCgui4mLi4OIwfP/6VbQMDA7Fp0ybY2xv3W3vvnvaGB/fv38f8+fP17rNmzZosTImIiMyYR2AVtN20AH91eA/CC8fDmYo6Jxf7er6PHqd+g5u/r8mfb2kufvGjrEWpT2gImi35hDvwUrFwjakZcnd3x969e3Xe0bZVq1Y4evQoKlasaKTMiIiIyNZVbNMYrVb+B0oHecY3sh4+wd6w8chVZbz6Zht2Z/NenP30O9meX7ZBTbT9/WvuwEvFxhFTM+Xu7o7Nmzdj+/btmD9/Po4dO1bkvfXq1cOkSZMwaNAg/kaKiIiIjC7wne7w7dAcKdduAzocbaevi/NWIHH3Pz8LPb14E4cGfvz8nFUlx1mkHp+7hsMDPxYHFQq0WDYdHtX9jP58ezcXlGvwGpQOLEqp+FiYmrmwsDCEhYUhMTERJ06cwJ07d5Ceng5nZ2dUqVIFjRs3RkBAQImeoctZqQXu3LlTomcSERGRZXP2Lgdn73ImeVbZhjXxR7N3kHrjjiYWv3U/zn66GI2+eN8kOViKjKRk7A0bj7yMLFG88X8n4bWRb8mUFdGrsTC1EL6+vujdu7fcaRARERGZnJOnB9pFLsaOpgNEmy1dnPsTPGsHIvCd7jJmZz7ysrKxv+f7yLj7QBSvPrQn6kwaJFNWRMXDuQ9EREREZPZKV/dH29+/hkKywePRETPx8MQFmbIyH4Ig4OiImXh08pIo7t2yIZp//ymXe5HZY2FKRERERBbB982maLZYfCxdfnYO9vecAFX8fZmyMg+X5v2E22v+EMXcqvrizc3fwM7JUaasiIqPhSkRERERWYyao/qi1r//JYplPniMfTa8U2/cln048/G3opi9mwvaRy5GqfJlZcqKSDcsTImIiIjIojT55gP4dmguij25cAOHBn4MQa2WKSt5PD5/HYfe+UgcVCjQZu18lHm9ujxJEemBhSkRERERWRSlvT3arP8vSr9WVRSP37ofZ6fLd3anqWUkJWNfITvwhnw5EVW6h8qUFZF+WJgSERERkcVxKvN8p17HMh6i+MUv/ocYyVpLa5SXlY39vSYgPSFJFK8+tCdenzxYpqyI9MfClIiIiIgskmanXjs7Ufzo8Bl4dPKiTFkZnyAIOPbuLDw6If6M3IGXLBkLUyIiIiKyWEXt1Lsv/H2oJKOJ1uLS/BWI+XWHKObm74u2mxZwB16yWCxMiYiIiMii1RzdDzXHvi2KaXbqTbeunXrjth0odAfedpHfwrlCOZmyIio5FqZEREREZPGaLvwQvu2biWJPzl/H4UGfWM1OvU8u3MChAdMAQfgnqFAg9Ld5KFu3hnyJERkAC1MiIiIisnhKe3u02fAVPGr4i+Jxm/fh7GdLZMrKcDIfPMbeHuOQl54piofMnwC/Hm3kSYrIgFiYEhEREZFVcCrjgfaRi+Ho6S6KX/z8R8T8Zrk79eZlZWNfITvwBg0Ow+tThsiTFJGBsTAlIiIiIqtRukZVtN1YyE69wyxzp15BEHBs5Cw8On5BFK/wRkO0WP4Zd+Alq8HClIiIiIisim/7Zmj67VRRLD87B/t6TrC4nXovfbkSMau1d+B9czN34CXrwsKUiIiIiKxOrTFvo+aYfqJYZlIy9oVbzk698dsP4MxHi0Qxe1dntNvOHXjJ+rAwJSIiIiKr1HThh6jYrqko9uTcdRwe/KnZ79T75OJNRPUvYgfeetyBl6wPC1MiIiIiskpKBwe03fi19k69m/bi3MzvZcrq1YrcgXfe+/ALaytTVkTGxcKUiIiIiKxWUTv1Xpi9HLfX7pQpq6LlZ+dgf++JSI+/L4oHDuqB1z8YKlNWRMbHwpSIiIiIrFpRO/UeGfoZHp26JFNW2gRBwNGRs/Dw2HlRvEKLBnjjhxncgZesGgtTIiIiIrJ6vu2boemiQnbqDX8f6XfNY6fey/9diZhfIkUxV7+KeHPLN9yBl6weC1MiIiIisgm1xr6NmqP7imLPd+p9X/adeuO3H8Dpado78LaPXMwdeMkmsDAlIiIiIpvRdNFUrZ16H5+9hiNDpsu2U++TSzcRNeAjrR14W6/hDrxkO1iYEhEREZHNUDo4oO2Gr+Ae5CeK3/l9D87PMv1OvZkPH2Nfj/HIU4lHbBt9MR7+4dyBl2wHC1MiIiIisilOZUujw47FcCwt3qn3/H+W4/b6XSbL4/kOvJOgiksUxQMHdkfdqcNMlgeROWBhSkREREQ2p/Rr1dBm41faO/UOmY5Hf182+vMFQcCxUbPx8Og5Ubx88/powR14yQbZy50AEREREZEcKnVojiYLP8TJcXM1sfysbOztNhblm9Uz6rNz0zKQdPBvUczVryLabVkI+1JORn02kTliYUpERERENqvW2LeRciUaN5Zt1MSyHj1FQmSUSfOwd3VG++3fwtmbO/CSbeJUXiIiIiKyWQqFAs2+nYaKbzaRNY/Wv85F2fqvyZoDkZxYmBIRERGRTVM6OKDtxq9RulaALM8P+XIi/Hu+KcuzicwFp/ISERERkc1zKlsa3Y+vxp3f9yDr0VOTPFOhVKB8s3rwaR1ikucRmTMWpkREREREABxLu6PG8N5yp0FkkziVl4iIiIiIiGTFwpSIiIiIiIhkxcKUiIiIiIiIZMXClIiIiIiIiGTFwpSIiIiIiIhkxcKUiIiIiIiIZMXClIiIiIiIiGTFwpSIiIiIiIhkxcKUiIiIiIiIZMXClIiIiIiIiGTFwpSIiIiIiIhkxcKUiIiIiIiIZMXClIiIiIiIiGTFwpSIiIiIiIhkxcKUiIiIiIiIZMXClIiIiIiIiGTFwpSIiIiIiIhkxcKUiIiIiIiIZGUvdwJE5iI7O1t0HR0dLVMmRERERESmJ/35V/rzsTGxMCX6fwkJCaLrnj17ypMIEREREZEZSEhIQHBwsEmexam8REREREREJCsWpkRERERERCQrhSAIgtxJEJmDlJQUREVFaa6rVKkCJycnkz0/OjpaNH1469atCAoKMtnzichy8H1BRLrgO4OKKzs7W7S8LTQ0FJ6eniZ5NteYEv0/T09PhIeHy52GRlBQEOrUqSN3GkRkAfi+ICJd8J1BL2OqNaVSnMpLREREREREsmJhSkRERERERLJiYUpERERERESyYmFKREREREREsmJhSkRERERERLJiYUpERERERESyYmFKREREREREsmJhSkRERERERLJiYUpERERERESyYmFKREREREREsmJhSkRERERERLKylzsBInqufPnymDFjhuiaiKgwfF8QkS74ziBLoBAEQZA7CSIiIiIiIrJdnMpLREREREREsmJhSkRERERERLJiYUpERERERESyYmFKREREREREsmJhSkRERERERLJiYUpERERERESyYmFKREREREREsmJhSkRERERERLJiYUpERERERESyYmFKREREREREsmJhSkRERERERLJiYUpERERERESyYmFKREREREREsrKXOwEiW3f//n2cPHkSsbGxSE9Ph7OzM/z8/BASEoJq1arJnR4RWYknT57g+PHjiImJQVpaGpycnODr64uGDRuiVq1acqdHRIW4e/cuLl++jPj4eDx9+hQAUKZMGXh7e6Nx48bw9fU1ynNVKhWOHz+OmzdvIiUlBQ4ODvD29ka9evXQoEEDKBQKozyXbBsLUyKZREZGYv78+Th27BgEQSj0nvr162PSpEkYOHAg/xIgsnCPHz/G6dOn8ffff+PUqVP4+++/kZSUJLpnxowZmDlzpkGfe+TIEXz++efYs2cP8vPzC70nKCgI48aNw+jRo+Hg4GDQ5xNR8T148ADbt2/Hvn37cODAATx8+PCl9wcEBGD48OEYOXIkvLy8Svz8S5cuYc6cOdi6dStycnIKvcfX1xfvvfceJk+eDFdX1xI/k6iAQijqJ2IiMgqVSoUhQ4Zg06ZNxW4TGhqK9evXw9vb24iZEZGhLViwQFOI3r59+5X3G7Iwzc3NxcSJE7FkyZJit6lbty42bdqE6tWrGyQHIiqe06dP48MPP0RUVBTUarXO7d3d3bFw4UIMGzZMr+cLgoDPP/8cs2bNQl5eXrHa+Pn5YePGjWjSpIlezySSYmFKZEIqlQrt27fHyZMndW4bFBSEw4cPw8fHxwiZEZEx6DrTwVCFaV5eHt566y1s27ZN57bly5dHVFQUp/cSmdCyZcswevToEvczatQofP/99zq3Gzt2LJYuXapzO2dnZ+zatQutW7fWuS2RFDc/IjKhYcOGaRWlfn5+WLhwIS5duoSnT5/i6tWr+PHHH7V+KIyOjkbv3r2L/ZtMIrJdH330kVZR6uXlhVmzZuH8+fN48uQJbt26hbVr12qNdjx69Ag9evTAs2fPTJkyEUkEBQVh9OjRWL9+PS5evIikpCSkpKTg+vXrWLFiBZo1a6bVZtmyZZgxY4ZOz1myZIlWUerm5obJkyfj1KlTSE5ORmxsLLZv344OHTqI7svMzESvXr2QkJCg+wckkhKIyCS2b98uABB9hYaGCikpKYXen5WVJURERGi1Wbx4sYkzJyJ9Sf/7dXNzE0JDQ4UpU6YI69ev1/rzGTNmlPiZ58+fFxQKhajfOnXqCHfv3i30frVaLUyYMEErl8mTJ5c4FyIqnu+//14AINjb2wvvvPOOcPDgwWK1W758ueDg4CD6b9fe3l64fPlysdonJSUJLi4uovaVKlV6afuvvvpK6x3Tp0+fYj2P6GU4lZfIBARBQMOGDXHhwgVNzM/PD5cvX4a7u3uR7fLz89G0aVOcOXNGE/Px8UFMTAxcXFyMmjMRlVzTpk3RuHFjzVfNmjWhVP4zWUk61dcQU3nDwsIQGRmpuXZ3d8eVK1dQpUqVl7br2bOnaJTV2dkZ0dHRRtv1k4j+8cMPP+DgwYP4z3/+g6CgIJ3arly5Umttad++fbF+/fpXth0/fjwWL16subazs8PJkyfRqFGjl7abMGECFi1apLlWKBQ4ffo0goODdcqd6EUsTIlMYOvWrejVq5cotmXLFvTs2fOVbc+dO6f1ol+4cCHef/99Q6ZIRDIwdGF6/vx5NGzYUBT75ptvMGHChFe2vX//PgIDA5GZmamJTZgwAd98843e+RBR8eTn58POzk7v9m3atEFUVJTm2t3dHcnJyXB0dCyyzYMHD+Dn5yfafff999/HwoULX/m89PR01KhRA4mJiZpYz549sWXLFv0+ABG4xpTIJDZs2CC6rlq1KsLDw4vVtmHDhmjZsqUotnHjRoPlRkTWQ/qucXV1xfDhw4vVtmLFiujTp48o9vvvvxssNyIqWkmKUgAYPHiw6DotLQ0XL158aZtt27aJilKFQoHx48cX63murq5ao7R//vknVCpVMTMm0sbClMjIcnNzsXPnTlFM13NJhwwZIro+fvz4K882IyLbI93wqHfv3i9dLiAlfdfcvXtXtJSAiMxT/fr1tWL3799/aRvp+6Jly5YICAgo9jOl74vs7Gz89ddfxW5PJMXClMjIjh8/jtTUVFGsTZs2OvUhvV+tVmPXrl0lzIyIrEl8fDyuXr0qiun6rmnRogUcHBxEsT/++KOkqRGRkTk7O2vF0tPTi7w/JycH+/btE8V0fV8EBgaicuXKohjfF1QSLEyJjEw6lcbOzg5NmzbVqY/AwEB4e3uLYpcuXSpxbkRkPQqbtvfGG2/o1Iezs7PWmna+a4jMX3x8vFasQoUKRd5/8+ZNZGdni2K6vi8Ka8P3BZUEC1MiI7t+/bro2s/PD66urjr3Iz3XVNovEdk26TvB3t4e1atX17kfvmuILM+LGx8VCAwMLPL+wv67lv63XxzSNjdu3NC5D6ICLEyJjOzatWuiaz8/P736kR71wB8WiehF0ndNpUqVREfTFJf0XXPr1i3k5+eXKDciMp78/Hz8+uuvolitWrXg7+9fZBvp+8LOzg6VKlXS+dnS90VaWhru3buncz9EAAtTIqN7cSt1QPslXlzSgpYvfiJ6kbHeNdnZ2Xj8+LHeeRGRcf3vf/9DQkKCKNavX7+XtpG+LypWrKjXzsCF/bKdP5+QvliYEhmZdOt0Dw8PvfqRtsvMzIRardY7LyKyLsZ61xTWNxGZh7t372Lq1KmiWJkyZTBu3LiXtuP7gswRC1MiI5O+oAvbOa84CmvHlz8RFeC7hsi25OXloX///lo7/3/xxRcoW7bsS9vyfUHmiIUpkZFJt2svVaqUXv3w5U9EL8N3DZFtmTBhAg4fPiyKderUCe+9994r2/J9QeaIhSkRERERkQVZvHgxlixZIopVrlwZq1evhkKhkCkropJhYUpkZNKjYbKysvTqJzMzUyvm5uamV19EZH34riGyDevWrcOECRNEsdKlS+OPP/5A+fLli9UH3xdkjliYEhmZ9AVd2Eu8OPjyJ6KX4buGyPrt2rULgwYNEm1+6OzsjMjISNSrV6/Y/fB9QeaIhSmRkUlf0M+ePdOrH2k7Z2dnvc4oJCLrZKx3TWF9E5HpHTlyBH369EFubq4m5uDggI0bN6JVq1Y69cX3BZkj/lRLZGS+vr6ia+lZY8UlbSftl4hsm7HeNU5OTihXrpzeeRFRyZ05cwbdunVDRkaGJqZUKvHLL7+gW7duOvcnfV/cv38f+fn5OvdT2HuGP5+QvliYEhlZzZo1Rdfx8fF69SNtV6tWLb1zIiLrI33X3Lt3T6+zjqXvmurVq8POzq5EuRGR/q5cuYJOnTppjU4uW7YMb7/9tl59St8X+fn5uHfvns79SN8X7u7uqFy5sl45EbEwJTIyaQGZkJCgtU17cVy/fl10Lf1LhYhsm/Rdk5eXh1u3buncD981ROYjOjoaHTp0wOPHj0Xxr7/+Gu+++67e/Rb2y+1r167p3I/0ffHaa6/pnRMRC1MiI5NuRpCXl4dTp07p1EdMTAySkpJEsbp165Y4NyKyHoVtfHLs2DGd+sjMzMTZs2dFMb5riOSRkJCA9u3b4/79+6L4zJkzMWnSpBL1XaNGDTg5OYliur4vAODo0aOia74vqCRYmBIZWfPmzVG6dGlR7ODBgzr1ERUVJbpWKpXo3LlzSVMjIivi5+eH2rVri2K6vmuOHz+OnJwcUUyf9WtEVDIPHjxAu3btEBcXJ4pPnjwZM2bMKHH/jo6OaNeunSim6/vi9u3bWmtM+b6gkmBhSmRkDg4O6Nq1qyi2evVqCIJQ7D5+/vln0XXz5s1RoUIFg+RHRNYjPDxcdL1582aoVKpit5e+aypXroxGjRoZJDciKp4nT56gQ4cOWlPx33vvPXz11VcGe470fXH48GHcvn272O2l7wsnJyd06tTJILmRbWJhSmQCffv2FV3HxsYiMjKyWG0vXLiAQ4cOiWIREREGy42IrIf03aBSqbBixYpitU1KSsLGjRtFsbfeestguRHRq6lUKnTp0gWXLl0Sxd955x18//33Bn1WeHg4HB0dNdeCIOC7774rVtuMjAz89NNPoliXLl14VAyVCAtTIhMIDw/XWv81fvz4V45k5OfnY8SIEaKYj49PiTY8ICLr1bBhQ3Tv3l0U++yzz4q12+aYMWOQmZmpuS5VqhQ++OADg+dIRIXLyspCjx49tPah6N27N1atWgWFQmHQ53l7e2PkyJGi2OLFi3Hu3LlXtv30009F7xWFQoHp06cbND+yPSxMiUxAoVBgzpw5olhcXBzCwsKKPNQ6JycHAwYMwOnTp0XxTz75BC4uLkbLlYgs25w5c0Q/wKampqJLly5ITEws9H5BEDB58mRs2bJFFB87dizPIyQykby8PERERGit8+zSpQvWrl1rtCObpD9T5OXlITw8HFevXi2yzTfffIOFCxeKYr1790ZwcLBRciTboRB0WehGRCXy1ltvYdOmTaKYv78/Jk+ejHbt2sHX1xcPHjzA0aNH8fXXX2v9xdC8eXMcOnQI9vb2pkybiPR05swZremxL5o/f77o+o033kDLli0LvbdMmTKYOnVqsZ47ZcoUfP3116JY+fLlMX78eISFhaFKlSp48uQJzpw5gwULFuDkyZOiewMDA3H27Fl4eHgU63lEVDKffPIJvvjiC1HM3t4eY8aMgbOzs159NmrUqFhLf7777juMGzdOFHN3d8eoUaPQr18/VKtWDSqVChcvXsTixYuxe/du0b1ly5bFuXPn4Ofnp1eeRAVYmBKZUFpaGtq3b6/zcTHA8x8UDx8+jIoVKxohMyIyhlWrVmHo0KEG6cvf3x937twp1r15eXno3bt3sdeyv8jLywtRUVFaO/wSkfEMGTJEazOhkho8eDBWrVpVrHvHjBmj1xpWZ2dn/PnnnwgNDdW5LZEUp/ISmZC7uzv27t2LXr166dSuVatWOHr0KItSIioWe3t7bNq0CaNHj9apXZ06dXDs2DEWpUQ2ZsmSJZg1a5ZOU4arVKmCAwcOsCglg2FhSmRi7u7u2Lx5M7Zt24YWLVq89N569eph1apViIqKgre3t4kyJCJr4ODggKVLl+LQoUPo1KkTlMqi/8oPCAjAwoULce7cOVSvXt2EWRKROVAoFPjss89w9uxZREREiHbrlapYsSJmzpyJq1evomnTpibMkqwdp/ISySwxMREnTpzAnTt3kJ6eDmdnZ1SpUgWNGzdGQECA3OkRkZV4/Pgxjh8/jpiYGKSlpcHR0RG+vr4IDg7mCCkRiaSlpeHYsWO4desWUlNTYWdnB29vb9SvXx8NGzY0+A7BRAALUyIiIiIiIpIZp/ISERERERGRrFiYEhERERERkaxYmBIREREREZGsWJgSERERERGRrFiYEhERERERkaxYmBIREREREZGsWJgSERERERGRrFiYEhERERERkaxYmBIREREREZGsWJgSERERERGRrFiYEhERERERkaxYmBIREREREZGsWJgSERERERGRrFiYEhERERERkaxYmBIREREREZGsWJgSERERERGRrFiYEhERERERkaxYmBIREREREZGsWJgSERERERGRrFiYEhERERERkaxYmBIREREREZGsWJgSERERERGRrFiYEhERERERkaxYmBIREREREZGsWJgSERERERGRrFiYEhERFeLOnTtQKBSir1WrVsmdFulpz549ou9lv379XtlmyJAhojZVq1Y1fqJWYMmSJaJ/bp9++qncKRGRBWBhSkRERFYtJycH48aN01w7Ojpi7ty5MmZk3UaOHImgoCDN9VdffYWYmBgZMyIiS8DClIiIzE5ho5Wm+mrTpo3cH58MbMGCBbhx44bmevTo0QgICJAxI+vm4OCAzz//XHOdnZ2NCRMmyJcQEVkEFqZERERktR4/fowvvvhCc+3k5IRp06bJmJFtiIiIQK1atTTXO3bsQFRUlIwZEZG5Y2FKREREVmvu3LlIS0vTXA8dOhQ+Pj4yZmQbFAoFpk6dKop9/PHHMmVDRJbAXu4EiIiIpBwdHVG/fn2d2qhUKq11bK6urqK1bsWh6/1kvhITE7FkyRLNtVKpxIcffihjRralf//++PTTT3H37l0AwLFjx7Bz50507dpV5syIyByxMCUiIrPj6+uL8+fP69Tm4MGDaNu2rSgWEhKCgwcP6pVD1apVIQiCXm3JPCxatAhZWVma6y5duqBatWoyZmRbHBwcMGLECMycOVMTmz9/PgtTIioUp/ISERGR1VGpVPjhhx9Esffee0+mbGzXsGHDYGdnp7k+dOgQzpw5I2NGRGSuWJgSERGR1fn555+RkpKiufbx8eFInQyqVKmCDh06iGKLFi2SKRsiMmcsTImIiMjqrFixQnTdu3dv0cgdmU5ERIToetOmTaINqYiIAK4xJSIikkVGRgZOnjyJGzdu4OnTp7C3t4ePjw+aNGmC1157rdj9PH78GKdOnUJ0dDTS0tLg4eGBihUrIjQ0FF5eXkbJ/cGDBzh79iwePXqEhw8fQq1Wo3z58vD29kazZs1QtmxZozy3uK5cuYKzZ8+KYm+99ZbRnpeamooTJ07g1q1bSE1NhZubG8qXL4/g4GDUrFnTaM8tcOvWLVy4cAF3796FSqWCo6MjfHx8MGjQoFe2ffLkCS5evIiYmBg8e/YM6enpcHR0hIuLCypUqICqVauiRo0a8PT01Du/nj174r333kNeXh6A5//u//777xg6dKjefRKRFRKIiIiswIEDBwQAoq/Q0FC9+4uNjdXqb+XKla9st3LlSq12sbGxmj+/fv268M477wilSpXSuq/gKzg4WPjjjz9e+pxDhw4JnTt3Fuzs7Artw87OTujUqZNw+fJlvf8ZvOjJkyfCzJkzhYYNGwoKhaLI3JVKpRASEiIsW7ZMyMnJMcizdfXpp5+KcvLw8BDy8vJ07mfw4MGifvz9/UV/fu7cOaFPnz6Cg4NDkf88/P39hcWLF+v1z0La14wZMzR/plKphLlz5woBAQFFPrsomZmZwrfffis0bty4yLYvfikUCqFmzZrCyJEjhd27dwu5ubk6f5bWrVuL+mzfvr3OfRCRdeNUXiIiIhNZunQp6tevj19//VW0W6zU2bNn0a1bN0yYMEFrZ+CcnByMGTMGrVu3xq5du5Cfn19oH/n5+fjrr7/QoEEDrF69Wu+c8/PzMW/ePAQEBGDmzJk4d+7cS3crVqvVOH36NEaNGoXXXnsNUVFRej9bX3/88YfoumXLlgadxisIAqZPn46QkBBs2rQJubm5Rd4bFxeHcePGoWnTpnj48KFBnn/y5EnUrl0bH330EW7fvq1T24MHD6J27doYP348/v7772K1EQQB169fxw8//ICOHTti7969Oucs3TH70KFDUKlUOvdDRNaLhSkREZEJfPHFFxg7diyys7OL3WbRokX45JNPNNc5OTno2bMnvv/++2L3kZeXhyFDhmDbtm065QsAaWlpCAsLw0cffSTaSKi4YmNj0aFDB631nsaUlJSkddRQmzZtDNa/Wq3GwIEDMWfOnCJ/KVCYc+fOoXXr1iUuxg4dOoQ2bdogPj5e57Y7d+5E586dERsbW6Ic9CEtTHNycrBv3z6T50FE5otrTImIiIxs69atogLT29sb3bt3R3BwMLy8vJCWloYLFy5gw4YNePDggajtvHnz0LNnTzRp0gRjx47Fn3/+qfmzmjVronv37qhevTo8PT3x5MkTHDlyBL///ruoAFar1Rg9ejTatGmD0qVLFyvnjIwMtGnTRmutJgAEBgaibdu2qFevHsqWLQt7e3skJyfj77//xs6dO/Ho0SPNvbm5uRgxYgS8vb3RrVu3Yv8z09ehQ4e0RnRDQkIM1v8nn3yCNWvWaK6rVKmCbt26oW7duvDy8oJKpcK1a9ewadMmrQLwxo0bmDZtGr777ju9np2UlITevXuLRtubNGmCjh07wt/fH+7u7rh//z6uXr2KjRs3itomJydj8ODBWr8Ysbe3R+vWrdGiRQtUrVoV7u7uAIBnz57h4cOHmvW6169f1yvnAiEhIVAoFKLvzcGDBxEeHl6ifonIisg5j5iIiMhQzHmNqZOTk2bd5+zZs4XMzMxC26ampgq9e/fWat+xY0dh06ZNmuvy5csLGzZsKDKHW7duCTVq1NDq54svvij255eurwQg1K5dW9i9e7egVquLbJeRkSHMnTtXa91lmTJlhISEhGI/X19TpkzRyjs5OVmvvqT/DBwdHTXra93d3YUffvihyLWr2dnZwtSpUwtd+3v37t1iPb+wtgX/v169esKxY8eKbCv9d2z27Nla/XXo0EGIi4srVi6xsbHCggULhOrVqwt//vlnsdpIBQUFiZ7/xhtv6NUPEVknFqZERGQVzLkwxf9vCrR58+ZXts/JyRFef/11rc1nvLy8BABCxYoVhZs3b76yn+joaE1BXPBVo0aN4nx0Yf369Vr59+zZU8jOzi5We0EQhL/++kurOB09enSx2+urTZs2omf6+Pjo3VdhxTkAoWzZssL58+eL1ce7776r1X727NnFalvYswsKutTUVJ0+S0hIiKiPmjVrCllZWTr1IQiCoFarhYyMDJ3bCYIg9OrVS5SDi4uLXptSEZF14hpTIiIiE5g2bRp69er1yvscHBzw2WefiWKCICA5ORkAsHr1alSvXv2V/QQGBmodx3Hz5k3ExMS8tJ0gCPjPf/4jitWvXx8bNmyAo6PjK59boGPHjpgxY4YotnLlSoNtAFSUmzdviq79/f0N/oyVK1eifv36xbp33rx5KFWqlCj2119/6f3s0qVLY/369fDw8NCpnXSTpIEDB8LJyUnn5ysUCjg7O+vcDtD+XmRkZODu3bt69UVE1oeFKRERkZF5enri448/Lvb93bt3L7Ro6NChA9q1a1fsfgo7u7OwNaMv+uOPP3DlyhVRbNGiRXBwcCj2cwtMmjRJs2YRALKyskRrZA0tJycH9+/fF8UqVapk0GeEhoYiLCys2PeXLVsWXbt2FcXOnz8PtVqt1/MnTZqk12dKS0sTXZcrV06v55dE5cqVtWJ37twxeR5EZJ5YmBIRERlZv3794OrqWuz7nZ2d8dprr2nFhw8frtNzGzZsqBW7cePGS9v8/vvvouvq1asjNDRUp+cWcHZ21tqN9eDBg3r1VRz37t3T2vjIx8fHoM949913dW7TpEkT0bVKpcK9e/d07kehUGDYsGE6twO0C9EjR47o1U9JVKxYUSuWkJBg8jyIyDyxMCUiIjKy1q1b69ymsCmorVq10qmPsmXLikYsAbzy2BfpuaMtWrTQ6ZlS1apVE12fO3euRP29zLNnz7RiuvxCoDj0KdIDAwO1YqmpqTr3ExQUVOioY3E0bdpUdL1mzRosXbr0pWfSGpqLi4tWTDqSS0S2i8fFEBERGVlQUJDObaQFpbOzM3x9ffXq58Uf/l9WECUmJmpNrdy1axcaNGig83MLJCUlia4L1soaQ0ZGhlZM3/WQhSlVqpRehWFhR/ToU5gGBwfr3KbA0KFDRWfZCoKAsWPHYunSpRg6dCjCw8P1+vdUF4V9L9LT0436TCKyHCxMiYiIjKxMmTI6t5Gu6dSnj8L6yc3NLfLewjaiefDggdbZqiXx+PFjg/UllZ+frxWzs7MzWP9ly5bVq11h63Nf9n0oSoUKFfR6PgCEh4ejZ8+e2Lp1qyh+5coVTJkyBVOmTEGVKlXQsmVLNG7cGC1atECjRo1gb2+4HxUL6ysvL89g/RORZeNUXiIiIiPTZ+MgY/TxKsYsGgtkZWUZre/CRuQM+TxTfA9eRtedeKXWrFmD/v37F/nnCQkJWLt2LSZNmoRmzZqhTJky6N27NzZs2IDs7OwSPRsAMjMztWKFTe8lItvEwpSIiIgAAE+fPpU7hRIpbD1pYcWQpSrp6KWLiwvWrFmDv/76C23atIFCoXjp/SqVClu2bEG/fv0QGBiI5cuXl2hNamHfC0OvASYiy8XClIiIiAAUPuI4depUCIJg0C9jKWyq65MnT4z2PEvVsWNHHDhwALGxsfjuu+8QERHxyvXL9+7dw6hRoxAeHo6cnBy9nlvY96Ik05OJyLqwMCUiIiIAgJeXl1bMkgq7wnYhLmzdLD3n7++PsWPHYsOGDbh37x7i4uLw66+/YuTIkUVu8hQZGYmxY8fq9bzCvheF7T5NRLaJhSkREREBALy9vbVicXFxMmSiP+nxNCxMi8/Pzw8DBgzA8uXLkZCQgAMHDqBjx45a9/3000+4cuWKzv0XdnZr1apV9UmViKwQC1MiIiIC8PxYG+nOs8eOHSt0t1tzVa9ePdF1bGysXjvgEtCmTRv89ddfGDlypCguCAK2bNmic3/Xr18XXVerVq3EGzoRkfVgYUpEREQAAKVSiXbt2oliKpUKu3fvlikj3TVu3Fh0nZubq1UQkW6++OILrWN3Ll68qFMfgiDg0qVLopj0e0VEto2FKREREWmEh4drxebOnStDJvpp1qyZVuzChQsyZGI9ypUrh/Lly4tiqampOvURExMDlUolijVt2rTEuRGR9WBhSkRERBr9+vVDUFCQKHb48GF88803MmWkm5CQEK3pyIcPH5YpG+uQlZWldZSQtFB9lcK+B506dSpRXkRkXViYEhERkYa9vT1mzZqlFf/www+xfPlyvfs9duwY+vfvX5LUikWpVGoVPAcOHDD6c81ZdHQ0Zs+ejUePHunVfvny5cjOzhbF6tevr1Mf0u+Bn58f6tSpo1c+RGSdWJgSERGRSP/+/TF06FBRLC8vD6NGjUKfPn2Kvb7w7t27WLRoEZo1a4Y33ngD27dvN0a6Wnr27Cm6vnXrFuLj403ybHOkUqnw2Wefwc/PD++88w62bNmCzMzMV7bLycnBV199hQ8++EAUt7Ozw9tvv13s5wuCgH379olihU0ZJyLbZi93AkRERGR+li1bhujoaK0pmJs3b8bmzZtRv359hIaGonr16ihXrhyUSiVSUlLw+PFjXL58GWfOnMGtW7cgCILJcw8LC4OHhweePXumiW3atAkTJ040eS7mJCsrC2vWrMGaNWvg7OyMBg0aoGHDhqhevTo8PT3h7u6O7OxsJCUl4cKFC9i1axcePnyo1c+0adNQpUqVYj/3xIkTSExMFMUGDRpU4s9DRNaFhSkRERFpcXR0xO7duzF27FisWLFC688vXLhgtpsKlSpVChEREfjpp580MRamYpmZmTh+/DiOHz+uU7t+/fphxowZOrXZtGmT6Lp27doICQnRqQ8isn6cyktERESFKlWqFH766Sf8+uuvCAgIKFFfFSpUwJgxYwyU2auNGjVKdH3s2DHcuXPHZM83Jy4uLnB3dy9RH25ubpg7dy7Wrl0LBweHYrfLz8/H+vXrRbH33nuvRLkQkXViYUpEREQvNWDAANy8eRNr1qxBly5dil3k1K5dG+PHj8fOnTtx7949fPnll0bO9B8hISFo3bq15loQBPz4448me745qVGjBpKTk7F7925MmjQJTZs2haOjY7Ha1qpVC7NmzcKtW7cwbdo0KBQKnZ79559/4u7du5prT09PDBs2TKc+iMg2KAQ5Fn8QERGRxcrLy8O5c+cQFxeHx48f48mTJ1AqlXB3d0eZMmVQvXp11KxZE25ubrLmuX37dtEmOz4+PoiPj9dpxM9aZWdnIzo6GjExMUhMTERaWhqys7Ph4uKC0qVLo2rVqqhfvz68vLxK9Jzw8HDRplcffPCBSX9BQUSWg4UpERERWSVBEBASEoKzZ89qYr/88gsGDhwoY1a249atW6hZsybUajUAwNXVFbdv30aFChVkzoyIzBGn8hIREZFVUigUmDNnjig2f/58WXYKtkVffvmlpigFgPfff59FKREViSOmREREZNVCQ0Nx6NAhzfWWLVu0zjolw7p37x4CAgKQk5MDAChbtixiYmLg6ekpb2JEZLY4YkpERERW7dtvv4WdnZ3m+tNPP0V+fr6MGVm/mTNnaopSAJgzZw6LUiJ6KRamREREZNXq168vOqrmypUrWLlypYwZWbdr166J/vkGBwfziBgieiV7uRMgIiIiMrbZs2ejXLlymvWlL659JMNKSEjAp59+qrnu1asXlEqOhRDRy3GNKREREREREcmKv74iIiIiIiIiWbEwJSIiIiIiIlmxMCUiIiIiIiJZsTAlIiIiIiIiWbEwJSIiIiIiIlmxMCUiIiIiIiJZsTAlIiIiIiIiWbEwJSIiIiIiIlmxMCUiIiIiIiJZsTAlIiIiIiIiWbEwJSIiIiIiIlmxMCUiIiIiIiJZsTAlIiIiIiIiWbEwJSIiIiIiIlmxMCUiIiIiIiJZsTAlIiIiIiIiWbEwJSIiIiIiIlmxMCUiIiIiIiJZsTAlIiIiIiIiWbEwJSIiIiIiIlmxMCUiIiIiIiJZsTAlIiIiIiIiWbEwJSIiIiIiIlmxMCUiIiIiIiJZsTAlIiIiIiIiWbEwJSIiIiIiIlmxMCUiIiIiIiJZsTAlIiIiIiIiWbEwJSIiIiIiIlmxMCUiIiIiIiJZsTAlIiIiIiIiWf0fzcVC7qwp3GIAAAAASUVORK5CYII=" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "execution_count": null, + "id": "d5234d02", + "metadata": {}, + "outputs": [], "source": [ "# Plot water velocity for specific links\n", "link_indices = [4, 8, 10]\n", @@ -149,68 +107,42 @@ "for index in link_indices:\n", " d.plot_ts(X=hrs_time, Y=hyd_res.Velocity[:, index - 1],\n", " title=f'Velocity for the link id {d.getLinkNameID(index)}',\n", - " xlabel='Time (hrs)', ylabel=f'Velocity ({d.units.LinkVelocityUnits})',\n", + " xlabel='Time (hrs)', ylabel=f'Velocity ({units.LinkVelocityUnits})',\n", " marker=None)" ] }, { "cell_type": "code", - "execution_count": 5, - "id": "bbf2a51f", - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "data": { - "text/plain": "
    ", - "image/png": "iVBORw0KGgoAAAANSUhEUgAAA6YAAAMQCAYAAAA0EXiDAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAC4jAAAuIwF4pT92AADCxElEQVR4nOzdd3xUVf7/8fdkZlJIAaT3jlKlKohSg8iqoCirfi0Ue8N1betvrauuvawo9rauXVHEDgiI9C5Kl95rIAkpM8n9/YGJufdOSCYkc+8kr+fjwUPnzNx7TkyI857zOed4DMMwBAAAAACAQ2KcHgAAAAAAoGojmAIAAAAAHEUwBQAAAAA4imAKAAAAAHAUwRQAAAAA4CiCKQAAAADAUQRTAAAAAICjCKYAAAAAAEcRTAEAAAAAjiKYAgAAAAAcRTAFAAAAADiKYAoAAAAAcBTBFAAAAADgKIIpAAAAAMBRBFMAAAAAgKMIpgAAAAAARxFMAQAAAACOIpgCAAAAABxFMAUAAAAAOIpgCgAAAABwFMEUAAAAAOAogikAAAAAwFEEUwAAAACAowimAAAAAABHEUwBAAAAAI4imAIAAAAAHEUwBQAAAAA4imAKAAAAAHAUwRQAAAAA4CiCKQCE6YEHHpDH4zH9gfvs3r1bTzzxhIYNG6YWLVqoevXqiomJMX3fzjvvPKeHWWU0b97c9N9+9OjRTg8pKrz99tu23zebNm2qsOucZh3zAw884PSQSuT0mJ3uHygvPqcHAABAecrPz9dDDz2kRx99VDk5OU4PBwAAlAIzpgCi2qZNm2yfFh/vny5dujj9ZeE4XH311XrggQcIpQAQQTt37tRXX32lBx54QOecc47q169v+/9r8+bNK6RvwzC0du1affDBB7rtttvUr18/paSk2PqnUsPdmDEFAFQan3/+ud58801bu9frVbNmzZSUlGQqvW7RokUkhxdVHnjgAT344IOmNsMwHBoNALeZN2+epkyZokWLFmnRokXasWNHRPufOHGi5s2bp0WLFmnJkiU6dOhQRPtH+SOYAgAqjaeeesr02Ofz6YknntA111yjxMREh0YFAJXPY489pkmTJjnW/9ixYwmjlQzBFEClk5iYqNatW5f5+hNPPLEcR4NI2bt3r+bMmWNqu/XWW3Xrrbc6NCIAAFBaBFMAlU6PHj00Y8YMp4eBCFuwYIGt7aKLLnJgJIDzRo8ezXq6CKHE3SwhIUFdunRRjx49NH78+Ij3X6tWLXXv3l01a9bURx99FPH+UXYEUwBApbBlyxZbG7PfAFBx4uLi1KlTJ/Xo0UM9e/ZUjx491KFDB3m9Xkmq8GBavXp1devWzdR/wd4BM2bMIJhGGYIpAKBSCLXWiHWlAFAxxo8fr/r168vv9zvS/9KlSwvPR0blQDAFAFQK2dnZtjbesABAxWjSpImj/bOreuVDMAUAF0hLS9OCBQu0a9cu7d27V3l5eapbt67q1q2rnj17qk6dOk4Pscpzw/fIMAz99ttv+vXXX7Vjxw4dOXJE8fHxat26tc4777wK7z8Stm7dqoULF2rz5s06cuSITjjhBNWrV099+vRRvXr1KqTP3NxcLVy4UNu3b9eePXt0+PBh1axZU3Xq1FH79u3Vvn37Cuk3mh06dEjz5s3TunXrdOjQISUlJalOnTrq1q2bTjrpJKeHF9V+//13LV++XNu3b9fhw4eVkpKiVq1a6dRTT1WtWrWcHh5QcQwAiGIbN240JJn+9OvXr0L7vP/++219lkUgEDBeffVV4/TTTze8Xq/tngV/PB6P0aNHD+Ppp582srOzS33/V155xXav7du3l3psKSkptuuvvvrqUvf/+OOPm671+XzGoUOHSn19Sfr161fsf7PS/Ln//vtL7KOiv0cFQv0cv/XWW4XP79u3z7j77ruN+vXrh+y/WbNmYfcZyvH+N7WOu6hmzZqZXjdq1CjT8xMnTjR69ep1zP/Gp5xyivHNN9+Uy9ean59vfPLJJ8bZZ59tJCYmHvNratiwoXHjjTcaW7duLZe+w/HWW2/ZxrNx48YKu27UqFHH/NlaunSpccEFFxh+v7/Y/17NmjUzxo8fb+Tm5ob99Zbl72lROTk5xqWXXmq7T+PGjY1ffvkl7PFEYsyGcfTn8fXXXze6detW7H9Xr9drDBkyxPjpp5/Kvf+KUlG/q0pj+vTptv6tv3fgLjECAETctGnT1LFjR11zzTX6+eeflZeXV+xrDcPQokWLdNttt6lt27b6/PPPS9XHoEGDbG1Tp04t1bULFizQ4cOHy3x9qNf27NlTKSkppb7eaZH4HpXGV199pbZt2+rRRx/Vrl27yu2+bnHo0CENGzZMI0aM0Lx584p9nWEYWrBggf7yl79o9OjRCgaDZe5z1qxZ6tGjh0aOHKmvv/5amZmZx3z9jh079OKLL6p169a67777lJ+fX+a+o5VhGLr33nvVo0cPffbZZwoEAsW+dvPmzbr55pt16qmnas+ePREb48GDB3XmmWfqvffeM7V36dJF8+fPV6dOnSI2lnBs3LhRffv21VVXXaUlS5YU+7q8vDx9//336tu3r8aNG3fM30lANCKYAkCEvfXWWzrrrLO0Zs2asK/dsmWLLrjgAj355JMlvrZVq1Zq3ry5qa20wbK4123cuFEbNmwo8fqcnBz9/PPPprbU1NRS9e0GkfoeleSjjz7S8OHDdeDAgeO+lxvt379fp59+uiZPnhzWde+8806Zj0J59dVXNXDgwGMGgOLk5OTooYce0vnnn19imK1M8vPzdfnll+vhhx8OKwwtXbpUffv2VUZGRgWO7qiNGzfqtNNO08yZM03tZ511lmbNmqWGDRtW+BjKYsOGDerbt6/t92VJxo8fr8svv5yjalCpsMYUACLo3Xff1dixY23tHo9HvXv31tChQ9WkSRP5fD5t375dU6ZM0fTp001vBg3D0J133imPx6Pbb7/9mP2lpqbq9ddfL3w8bdq0Uo3zWAF2ypQpuvbaa495/ezZs5WVlWUbS3lq3bq10tLSCh/v2rVLu3fvNr3m5JNPLvb6+vXrh2yP9PeoOL/++qteeOGFwtk5r9er008/XYMGDVLjxo2VkJCg7du3a+nSpVq6dGmZ+rAq+t803P+eBU444YRS9RUMBnXeeefp119/LWzr2rWrhgwZopYtW6pGjRo6cOCA5s+fr4kTJ9p2XX7vvfd03nnn6cILLyxVf5L02GOP6e6777a1JyYmavDgwerZs6caNGig5ORkHTp0SOvWrdOUKVNsIfbLL7/UlVdeqQ8//LDUfUezf/7zn6ZZyCZNmujss89Wp06dVLt2bWVkZGjVqlX67LPPtHHjRtO1a9as0T/+8Q+98MILFTa+BQsW6Nxzz7XNzl599dWaMGGCfD53vt09ePCgBgwYoG3bttmea926tUaMGKHWrVsrJSVFu3bt0pw5c0wz/B988IG6d+8e6WEDFcfBMmIAOG7RtMZ03bp1RlJSku3ajh07GvPnzy/2upUrV4Zce+f3+42FCxces88PP/zQdt1vv/12zGsyMjJM68c8Ho/p+gsvvLDEr/X//b//Z7omMTGxTOvNwlEea3+d+B4ZRuif46JrWvv373/M71tWVlbYX2tJymstdQHrGtP4+PjCf2/btq0xbdq0Yq/ds2ePMWTIENt4TjrppFL3P3XqVCMmJsZ0fUJCgvHoo4+WuPZ5+vTpRqtWrWz9v/DCC6Xuv6ycXmMaGxtb+DsgOTnZePXVV41gMBjy2pycHOOuu+4K+bO8bdu2Un291mtLWi85ceJEIyEhwXSNx+Mx/v3vf5eqv/IQ7pgLWP9bSzKqV69uvPHGG8Ves3fvXuOSSy4x/QyXtf9IsI6NNaY4Fkp5ASBCbrjhBltJW48ePfTzzz/rlFNOKfa6du3aafr06Ro4cKCpPRAIhJzZK2rQoEG2I1NKKuedOXOmaf3YOeeco7i4uMLHP/74Y4lr7Kx99O3b17Gz7sLhxPeoOAUzsCNGjNAPP/xwzJ1h4+Pjy9SHkwqO9+nZs6fmzp1r+29XVJ06dTRp0iR17NjR1L569epSlUCmp6fr0ksvNf3c1q1bV/Pnz9c//vGPEtc+9+/fX4sXL1bnzp1N7Q888ICOHDlSYv/RLDc3V4Zh6IQTTtCsWbN09dVXy+v1hnxtbGysHnvsMV199dWm9ry8PL311lvlPrb//Oc/uvDCC03VGXFxcXrvvfdCzoy7yU8//aR33nnH1JaUlKTvvvvumL8zateurffff1/jxo2TJFtlChDNCKYAKp1FixapS5cuZfqzaNGiChnTr7/+qilTppjaUlJS9MUXX6h69eolXh8fH6+JEyfayk9XrFihH374odjrateubSu/tI7Dyhoqhw0bptNOO63w8YEDB465Pi8tLU2LFy82tUXD+lKnvkfH0rx5c73zzjtREerLokaNGvr0009LVf4bFxenJ554wtb+/fffl3jtyy+/bCpLjomJ0aRJk8LaDKd69er6/PPPFRsbW9i2b98+U6l8ZfbWW2+VqpRbOloybf2wpDTfp9LKz8/XLbfcor/97W+mDxtq1qypH374QZdcckm59VVR/vOf/4Rs69WrV6muf+6550y/l4HKgGAKoNLJzMzU8uXLy/SnojbpCLW+6p577lGjRo1KfY/q1avrscceK9W9i7Luzjtz5sxj7mhqDaapqam2YHmsWVfrestQY3AjJ79HxXnwwQeVlJRUpmujwS233KKmTZuW+vVnnnmm7bxY64cgVrm5uXruuedMbVdccUWpA0BRLVu21OWXX25qK88dmN2qX79+GjZsWKlff8IJJ+gvf/mLqW3ZsmXlspvxkSNHNGLECD3//POm9hYtWmjOnDnq27fvcfdR0Xbu3Kkvv/zS1NatWzeNGTOm1PfweDwaP358eQ8NcBTBFAAiwDoTFxcXpyuvvDLs+1x88cW22aVQQbAoa6hMT0/X/PnzQ752z549ps1oCnb2HTx4sOl1xwqm1ufq1q1rK4F0Iye/R6GkpKRo5MiRYfcfTawlnyXxer22zV5K2jl5zpw52rFjh6ntqquuCqvfos4++2zT43nz5iknJ6fM94sG4X6fJNlK3zMyMrR9+/bjGsfu3bvVv39/TZo0ydbXvHnzdNJJJx3X/SNlypQptg8Hr7rqKtuyi5J069ZNPXr0KM+hAY4imAJABdu1a5ftiJUBAwaUevfSouLi4mwzFxkZGVq+fHmx1/Tt29dUfigVHyynTp1qOn6gIJB2795dNWvWLGyfPXt24RpBK+vOvwMHDgz7DVekOf09CuXUU09VQkJC2P1Hi1atWoU1G130uqKsu/VaWY8P8fv96tmzZ9j9FmjRooXpcXZ2tlatWlXm+0WDfv36hX2N9fsklfy9OpZVq1apV69eWrhwoal9+PDhmj59uurWrVvme0daqPN6R4wYUaZ7lfU6wI3cuX82AByHfv36acaMGU4Po1Co9ZjH8yl3z5499fbbb9v66NatW8jXV6tWTb179za9QZ86daruv/9+22tDlfFKR9fkDRgwQBMnTpR09M34rFmzbDOp27Zts81gRcP6Uqe/R6GE89po1KZNmzJdZ13vW1LYmT17tq3tWBtZlSQ3N9fWtm/fvjLfz+3i4+PVuHHjsK8LtS67rMF0+vTpGjFihOl4KEkaN26cnn32WcXERNc8i7X8vFGjRqpXr16Z7sVxMahMCKYAUMFCvWlt165dme8XanfWkt4Yp6ammoLp/PnzlZGRYVu/WHS2MyYmxrRTampqamEwlY6Wo5WmxDcagqkbvkdW0TQDVBZlmY2WZNsI6ljrpSXZzogMBAJhz16XZP/+/eV6Pzcpr++TJNNu36X17bff6tFHHzV9IBATE6Onn35af/vb38o0NqdZz1s98cQTy3yvaClfBkojuj5iAoAodPDgQVtbjRo1yny/oiW1BQ4cOHDMa6zhMBAI2GaV165dqy1bthQ+tpbvlmYDJGtb69at1axZs2OOzQ3c8D2yKukIk2gXqZ2GIxEaK/ORHU7vCL1gwQLbLPUzzzwTtaFUkm3mtzS7fhfneK4F3IZgCgAVLD093daWmJhY5vuFujZUH0X17NnT9gbGGiKLK+Mt0KZNG9MOqsuWLbPNAlrXl0bDbKnkju+Rlc9HUVN5CPWhA6JHqL8HTzzxRFSv67X+Lijv3zVAtCKYAkAFS05OtrVlZmaW+X6hrg3VR1Fer9e2gUm4wVSSqXTXMAxTEP3tt9+0a9cu0+uj4ZgYyR3fI1QM6wZS9erVk2EY5fpn9OjRznxxVcDf/vY32++iHTt2qF+/flq6dKlDozo+1t8F5f27BohWBFMAqGChyjqtpVzhCHVtadaBWd/cFQ2S+fn5mj59euFzCQkJ6tOnT4n3KBpmrcHWukbVzdzyPUL5q127tukxM6jRJTExUV999ZVtp+u9e/dq4MCBmjt3rkMjKzvrMoHj2a34eK4F3IZgCgAVrE6dOra24ylDW7lypa3N+uY7lFAzoAVhctGiRaYwdcYZZyguLs72+kGDBpmOfjlWMO3atWvUhDG3fI9Q/qy7nebm5mrnzp0OjQZlERcXp88++0wXX3yxqT0tLU1nnnmmfvzxR4dGVjbWjc1KOov3WFavXn28wwFcg2AKABUs1LEfixYtKvP9rOf4SaU7MqBdu3a2cyOnTJkiqXRlvNLRANe5c+fCx5s2bdL69esVDAZt50VGy/pSyT3fI5S/U0891db2008/OTASHA+fz6f33ntPV111lak9IyNDZ599tr7++muHRhY+6++C7du3a/fu3WW6l/XoGSCaEUwBoILVq1dPLVu2NLVNnz497F1apaOzPV9++aWpLSkpyRQWj8W65rNgjag1mFqPgSkqVDnv/PnzbRt6RFMwddP3yC1CbTqTl5fnwEiOT6if5aLHHiF6xMTE6LXXXrPtyJudna3zzz9fn3zyiTMDC1OvXr1sbZ9//nmZ7sXPMioTgikARMCQIUNMj3NycvTWW2+FfZ+PPvrIdvzFwIED5fV6S3W9NSxu375dS5Ys0Zw5cwrb6tSpo5NPPrnU95g6daptN974+HidfvrppRqTW7jle+QWoTZrysjIcGAkx6dfv362Hak/++wzrVu3zqER4Xg9++yzuueee0xtgUBAl1xyid5++21nBhWGwYMH2z74ef3112UYRlj3WbZs2XFVdgBuQzAFgAi44YYbbG0PPfRQWGvdDh8+rLvuusvWfvPNN5f6HqF2yb3//vuVk5NT+HjgwIGmdaRWffv2VWxsbOHjH3/8UT/88IPpNX369FF8fHypx+UGbvkeuUWoDaE2bNjgwEiOT2Jiom699VZTW15eni677DLTzz2iy0MPPaQnnnjC1JaXl6exY8fqxRdfdGhUpdOgQQPbZk6LFy/WO++8U+p7GIYRlb9XgGMhmAJABHTs2FFnnnmmqe3QoUM6//zzSzULlZOTowsvvNAWkjp37hxWyWzDhg3Vrl07U9tXX31lenysMl5Jqlatmk477bTCxwcPHtTs2bNNr4mWY2KKcsv3yC06depka/vmm28cGMnxu/XWW22bTy1YsEAXXnhhmXc13bNnj+65557CddqIvDvuuEMTJkwwfZBmGIZuuukmPf744w6OrGTjxo0L2RZqfXoot99+u37++efyHhbgKIIpAETIhAkTlJSUZGqbP3++zjjjDC1ZsqTY61avXq2BAwfa3gD7/X698cYbYY+jpJBUmhBVHvdwI7d8j9ygY8eOSklJMbU9+uijevvtt5WVleXQqMomJSVFH374oa188quvvlL37t313nvvKRgMlnif7OxsTZo0SZdddpmaNWumRx55hOM6HHb99dfr7bfftpXK/+Mf/7CV+7pJv379NGrUKFNbenq6zjzzzGPOnO7fv1+XXXaZnnnmGUn2c3qBaGbf2QAAUCFatWqlCRMm6IorrjC1L1u2TD179lSfPn101llnqUmTJvJ6vdq+fbumTp2qH3/8MeSb5n//+9/q0aNH2ONITU3V+PHjQz7XunVrNWvWrFT3KO5NX82aNaN2B1q3fI/cwO/367LLLtOECRMK2zIzMzVmzBhdddVVatKkiZKTkxUTY/6M+1//+petTNENBg0apOeff95Wsv3777/rsssu02233ab+/fure/fuqlOnjpKSkpSenq60tDRt2LBBixcv1rJly6IulFcFV1xxhZKSknTJJZcoNze3sP2RRx5RRkaGnn322WMuT3DKs88+q+nTp2vLli2FbWlpaRo9erQeeeQRjRgxQm3atFFSUpJ2796tuXPn6quvvjJVcDz00EO6/fbbnRi+JKlLly5hvX7Hjh0lXrNs2bJS3WvRokW2XZqLClXp8uWXXx6z/x49euj1118vVf8ofwRTAIigyy+/XIFAQNdee60pyOTn52vWrFmaNWtWiffweDx67LHHyvxmpH///vL5fCGDVEllvAV69OihGjVqmM4+LTBgwABbWIkmbvgeucW9996riRMnateuXab2vLw8bdq0KeQ1ZdnJOFKuv/561a1bV2PGjLHtIr1792599NFH+uijjxwaHY7HiBEjNGnSJI0YMcL04cF//vMfZWZm6pVXXnHd76WaNWvqxx9/VP/+/bVt2zbTc+vWrSuxHPniiy/W3//+d0d/zyxfvjys1wcCgbCvKU5GRkbY9zp48KAOHjxY7PM1atQ4zlHheLjrbygAVAFjx47Vt99+q7Zt24Z9bZMmTfTpp5/qzjvvLHP/KSkp6tmzZ8jnSluC6/V61b9//+O6h5s5/T1yi/r16+vHH3+M2hnwUC644AItWrRI55xzznHdx+fz6Zxzzom6Y4Aqs7POOkvfffedbUfp119/XZdddlmpyrUjrVWrVpo5c6b69OkT1nU33HCD/ve//7lyJhgoK4IpADggNTVVv/32m1555RX16dPnmEeJeDwede/eXU8//bTWrl2rESNGlEv/VjExMRo4cGCp71Hc7GplCKaS898jt2jXrp0WLlyomTNn6m9/+5sGDBigxo0bKyUlJeqOwCnQtm1bTZ48WcuXL9fVV1+tFi1alOq6WrVq6cILL9Qrr7yi7du3a/LkyWX68AIVp2/fvpo2bZpOOOEEU/sHH3ygCy64wJU7Mbds2VKzZs3Sa6+9pq5duxb7upiYGA0aNEg//vijXnzxxaj9+wcUx2OEe2gSAKDcpaWlad68edq9e7f27t2rvLw81alTR/Xq1VPPnj1Vt25dp4dY5fE9qty2bNmiX375Rfv27dP+/fuVnZ2tpKQkpaSkqGnTpjrppJPUqFEjp4eJKmD9+vVatmyZduzYofT0dCUnJ6tly5bq1auXbXdpoDIhmAIAAAAAHEUpLwAAAADAUQRTAAAAAICjCKYAAAAAAEcRTAEAAAAAjiKYAgAAAAAcRTAFAAAAADiKYAoAAAAAcBTBFAAAAADgKIIpAAAAAMBRBFMAAAAAgKMIpgAAAAAARxFMAQAAAACOIpgCAAAAABxFMAUAAAAAOIpgCgAAAABwFMEUAAAAAOAogikAAAAAwFEEUwAAAACAowimAAAAAABHEUwBAAAAAI7yOT0AAOFLS0vTzJkzCx83adJEcXFxDo4IAAAA0S4nJ0dbt24tfNyvXz/VqFEjIn0TTIEoNHPmTJ133nlODwMAAACV2BdffKHhw4dHpC9KeQEAAAAAjiKYAgAAAAAcRSkvEIWaNGlievzFF1+odevWDo0GAAAAlcH69etNy8Ws7zkrEsEUiELWjY5at26tDh06ODQaAAAAVEaR3FyTUl4AAAAAgKMIpgAAAAAARxFMAQAAAACOIpgCAAAAABxFMAUAAAAAOIpgCgAAAABwFMEUAAAAAOAogikAAAAAwFEEUwAAAACAowimAAAAAABHEUwBAAAAAI4imAIAAAAAHEUwBQAAAAA4imAKAAAAAHAUwRQAAAAA4CiCKQAAAADAUQRTAAAAAICjCKYAAAAAUErB3Ezt3zxPuVkHnR5KpeJzegAAAAAAEA1yMvdr5mupytz/u2J8cTqx3x1qe/rfFOOLdXpoUY8ZUwAAAAAohR2/faHM/b9LkvKDOVo17WFNf6mvDmxd4PDIoh/BFAAAAABK4cih7ba2w3tWauZrg7X86zsUyEl3YFSVA8EUAAAAAEohmHMo9BOGoQ3zXtG08adq55pvIzuoSoJgCgAAAAClEMg+9oxo1qFtmve/i7Tgo9HKztgToVFVDgRTAAAAACiFoKVUt0bDLorxxdtet/3XiZr6fA9tXvI/GYYRqeFFNYIpAAAAAJSCdQ1pky4Xa9BNc1WnZT/7a7PStOTzGzT77WHK+GPDJBSPYAoAAAAApWCdMfXHpSipViv1Gf2lup3/kvwJNWzX7N0wU9Ne6K21Pz2r/LxAhEYafQimAAAAAFAKgZzDpse+uBRJksfjUbNulyp13CI17nSB7br8YLZ+m3K/ZrzcXwe3L4nIWKMNwRQAAAAASsE2YxqfbHocn1RXPf/6lnpf9rESqje2XX9o1wrNeGWgVnz7/xTMzazQsUYbgikAAAAAlEIg2zpjmhzydfVPPEuDbp6vVr2ukzwe85NGvtbPeUHTxvfS7nVTK2qoUYdgCgAAAAAlyA/mKj+YbWrz/1HKG4o/Llmdz35C/a6eqpS67W3PH0nbrDn/HaFFn16tnMx95T7eaEMwBQAAAIASBHLtZ5gWN2Na1AlNemrA9T+p/aB7FeOLsz2/dflHmvp8D21Z9kGVPlqGYAoAAAAAJbCuL5WOzoqWRowvVif2v0MDb5ijWs372J7PPXJAiz+7VnP+e74yD2463qFGJYIpAAAAAJQgmG0Jpp4YeWMTw7pHcp02OmPM1+oy/Hn546vbnt+z/kdNG99L62a/oPy84PEMN+oQTAEAAACgBIEQZ5h6rBsblYInJkYteoxW6riFath+uO35vMAR/frd/9PMVwcpbecvZR5vtCGYAgAAAEAJAjmHTI9Ls770WOKT6+vUS97Vqf/3geJTGtqeT9uxVDNe7qdfv79Pwdwjx9VXNCCYAgAAAEAJrKW8pV1fWpKG7c5W6s0L1OKUq2zPGfl5Wvfzc9q0+O1y6cvNCKYAAAAAUALr5ke++PIJppLkj09Rl3OfUd+rflBynRNNz6XU66CWPe2htbIhmAIAAABACexrTMsvmBao1ayXBtzws04acLc8Xr/k8ajr8OcV44st977cxuf0AAAAAADA7YI5h02PfXEpFdKP1xendgPvVqOO52vfxp90QpOeFdKP2xBMAZTaoV2/6fe5E5RUp62Sa7dVcp02qlajuWK8/CoBAACVm23GNL5igmmBlLonKaXuSRXah5vwbhJAqR3cvkSbl7xravN4/Uo6oZWS67RVUu02Sq7d5o/g2ibk+VwAAADRKJBtnTEt/1LeqoxgCqDUMvattbUZeQGl712t9L2rbc/FJ9dX0h8zq8m12xbOtCakNJInhiXuAAAgelg3P6qINaZVGcEUQKml710T1uuz03cpO32X9m38ydTu9Vf7Y3a19R/B9WhgTardWl5/QnkOGQAAoFzYduUlmJYrgimAUmvYfpjikuopY99ape9dq9wj+8t0n7zAER3auVyHdi43P+HxqFr1pkqu00ZJtduqTst+qn/iWfJ4POUwegAAgLILRGjzo6qKYAqg1Jp1u0zNul1W+Dgnc78y9q1T+r61R/+5d63S961V5oGNkpEffgeGoSNpm3UkbbN2r5uq3+dOUO3mp6vLsP8ouU6bcvxKAAAAwhPMppS3IhFMAZRZXGItxSXWUq1mvUztecEcZR7YqPS9awtnVzP2rVX6vnW2MpiS7Nv0s358sbdO7HeH2p5xa5U4xwsAALhPpHflrWoIpgDKndcXF3KLc8MwlJ2+689Z1j9mWNP3rlPWoa3F3i8/L1erfnxE21Z8pq7njVetpqdW9JcAAABgwhrTikUwBRAxHo9HCSkNlJDSQHVa9jU9F8zNVMa+9X8E1TXauuwjHUnbbHpN+t7V+um1wWpxypXqMPgBjqMBAAARkZ8XUF7giKmNNabli/MaALiCLzZRNRqerCadR6r9oHs06OZ5at3nZslj/zW1ccEbmvp8T23/7UsHRgoAAKqaUEuR/PHMmJYngikAV/LFJqrTWY9owHUzVL3Bybbns9N3acGHl2ne+/+nrMM7HBghAACoKqzrSyVKecsbwRSAq9Vo2EX9r52ujmc9Iq+/mu35nau+0tTne2rD/Ndk5JdhJ2AAAIAS2GZMPR75/InODKaSIpgCcL0Yr09t+tysQTfPU93Wg2zPB3PStfyr2/TT62fq8O6VDowQAABUZrYdeeNS5IkhSpUn/msCiBqJNZvrtCsmqseFrys2sbbt+QNbF+jHCadr5dR/KS+Q7cAIAQBAZRTMOWx6TBlv+SOYAogqHo9HTU7+q1LHLVTTbpfZnjfyg1oz8ylNe7G39m6c5cAIAQBAZRPIJphWNIIpgKgUV62Wup8/QaePmazEE1rans/c/7t+fvNsLfn8RuUeOeDACAEAQGVhXWPqJ5iWO4IpgKhWp2U/Dbpprtr2vV2eGPvRzJuXvKupz/fUtl8+lWEYDowQAABEO+saU2ZMyx/BFEDU8/oT1GHwfRpw/U+q2biH7fmczL1a+MlYzX33QmUe3OzACAEAQDQLWkp5/XEpDo2k8iKYAqg0qtfvqH5XT1Hns5+ULzbJ9vzudVM0bfypWj/nBeXnBR0YIQAAiEbWUl5fPDOm5Y1gCqBS8cR41arXtRo0boHqn/QX2/N5gSNa8e3/08xXByltx3IHRggAAKJNqONiUL7sC7IAoBKoVr2xev3fB9qx8kst/+p25WTsNj2ftmOpZrzSX817jFHNRt2UkNJQ8SmNlFC9IRsaAAAAE3blrXgEUwCVlsfjUaMOw1WnZT/9NuUBbVr4pul5Iz9PGxe8ro2W63xxyUpIaXg0rFZvpITkBkqo3uiPtkaKr95QsQknyOPxRO6LAQAAjrHtykspb7kjmAKo9GITaqjrsOfU5OSLtGzSOKXvXXPM1wdz0pW+d80xXxfji1dCSgMlpDT6M8AWeZxQvZHiEuvIE+Mt7y8HAABEWDDHOmNKKW95I5gCqDJqN+utATf8rHWzntWamU8pPy+3zPfKD2Yr88BGZR6wzrf+yRPjVXxyAyXXOVGtel+v+m3PLHN/AADAOfY1psyYljeCKYAqxeuL00kD/qFGHS/QpsVvK33vGmUf3qmsw9uVe+RAufZl5Ocp69A2ZR3apj3rp6lh++HqfPbjSkhpWK79AACAimXblZdgWu4IpgCqpOQ6bdTprEdMbXmBLGUd3lEYVLMO7Tj6z8M7lX14+9HnMnZLhlGmPnesnKQ966epXeo9anXqtZT5AhUsL5CtHasma/Pid5W2c5lS6rZXjwtfU7UaTZweGoAoY5sxjaeUt7wRTAHgD15/gpJqtVJSrVbFviY/L6Ds9F1/BNgdRQLsjiJtO2Tkhz4nNZiboRXf/ENbl32oLsOeU81G3SrqywGqrEO7ftWmxe9o6/KPFMhKK2zfv3mO1v38nE4+52nnBgcg6hj5ecrLzTS1sca0/BFMASAMMV6/qtVocswZFyM/XzlH9inr0HYd3L5Yq6Y9bCsTTtuxTDNeGaCWp1yt9qn3yh9fvaKHDlRqgezD2rbiU21a/I7Sti8t9nUHj/EcAIQSsGx8JLHGtCIQTAGgnHliYhSfVFfxSXVVs1FXNep4vn77/j5tXvKu+YWGoQ3zX9WOlV+q09DH1Kjj+RxBA4TBMAzt3zxXm5f8V9t//UJ5gSMlXmM9ixAASmJdXyqxxrQiEEwBoILFVaulbue/qKZdL9WyL/+m9L2rTc9np+/Swo9Ha8vS/+nkc55W4gktHBopEB2yM/Zoy7IPtHnRO8rYvz6sa61HPgBASQLZIYJpbJIDI6ncCKYAECG1m5+mgTf8rHVzXtCaGY8rL5Blen73uqmaOv5UndT/TrXpM04xvliHRgq4T35eUHvWT9Wmxe9q15pvi13HXSA+paGadb1UyXVO1KJPrypsZ8YUQLhC7cjriYlxaDSVF8EUACIoxherE/v+XY07jdDyybdp97oppufzg9laOfVf2rr8I3UZ9pxqN+/j0EgBd8g8sFGbl7yrzUveU3b6zmO+1hPjU/0Th6p5jytUr3WqPDFeHd5jrlDICxxRfl5AMV5/RQ4bQCViXWPqZ+OjCkEwBQAHJNZsrt6Xf6odv03SL9/cZXvDnb53jWa9MVRNu12mjmc+pLjEWg6NFFXV4T2rtXHhG0rfs0b+hBqKT66n+OQGSkiur/iUBopPqq/4lPryx9co97XRfx7z8l/t3TCzxNcn1WqtZj1GqWmXSxSfVNf0XKgjHQI5hxVXjb9TAEqHM0wjg2AKAA7xeDxq1PE81W09UCunPaQN81+TjHzTa7Ys+Z92rf5GHYc8rKZdL2VzJFSogs2E1v38nHat+a5U18T44hWfXF/xyfWVkNxA8Sn1C0NrfHKDP/7Ukz++eok/v4d2rtCmJf+1HfMSitefoEYdz1ez7qNUq2mvYu8damYjmE0wBVB61iUAvniCaUUgmAKAw/zxKTr57CfVtMslWvblrUrbYT7OIvfIAS35/AZtXvqeupz7rFLqnuTQSFFZGfl52rHqa62b/R8d3LowrGvzg9k6cnCTjhzcdMzXef0JhQH2aFgtmHmtp2BOujYv/d8xj3kpULNRNzXrfoUad7qgVMcseWMT5YnxysjPK2xjnSmAcFhnTDkqpmIQTAHAJWo26qb+1/6oDfNf1cppD9v+R7h/02z9OKGP2vS5RSf2u12+2GoOjRSVRV4gW1uWfaB1s59X5v7fK7ivLGUe2KjMAxvDvtafUENNT75Yzbpfoer1O4Z1rcfjkS8u2TQDG+pMQgAojvV3ho81phWCYAoALuKJ8apV7+vVsMNwrfjmbm3/7XPT80ZeQGt/ekrbVnyqLuc+rXptBjs0UkSz3CMHtHHBG/p93svKydxb7Ov8CTXUrNvlivHGKTt9p7LTd/3xZ6dyjxyo8HHWadlfzbtfoQbtzpHXH1/m+/jjqpuDKTOmAMLAjGlkEEwBwIUSUhrqlIvf0a61/6flk2/XkbTNpuePHNykOf+9QI06jlCnoY8qIaWBQyNFNDmStlXr57yoTYvfUV5uZrGvS6jeRG363KRm3S6XLy70WX15wRzlZOxW1uGdhWE1O3330X8ePvrvWek7Fcg6GNYYC455adbtsnI709e6AVIw+1C53BdA1RCwbn4UYlM1HD+CKQC4WP22Q1T75jO0ZuaTWvfzf2xnN27/daJ2r5uq9qn3qF6bwfLH15A/PoWjMGByaOcKrfv5P9r262emtZZW1et3VpvTx6lRx/NL/Bny+uJUrUZTVavR9JivywtkKztj19HQenhnYYDNKpiBPbxTeYEs1Wh4spp1v7zwmJfyZH0TSSkvgHAEs5kxjQSCKQC4nC+2mjoMvl9NOv9Vyyb/Tfs3zzU9H8w5rF++vtPU5vVXkz8+Rb64FPkTqssflyJ/fPU//qQU/vPP5y3tsRweHu0Mw9DeDTO17ufntGf9j8d8bZ1WA9T29FtUp9WAct/52euPV2LN5kqs2bxc7xsO6868lPICCAdrTCODYAoAUSKlXjudMfZbbV76nn79/p5jlkjmBY4oL3BESt9Vts48Hvnj/giuf4TVuMQ6atDuL2rS+a/lPqOF8pOfF9SO377QutnPK23HsmJf54nxqlGH89Xm9FtUo+HJkRugA6ylvARTAOEIWoIpM6YVg2AKAFHEExOj5t0vV4OThurX7+/VlqXvVUxHhqFA9iEFsg8p69DWwuYdKyfp93kv6+RzntYJjXtUTN8ok2BupjYv+Z/Wz37Btia5KK+/mpp3v0KtTrtRiTWbRXCEzrGtMaWUF0AYApZSXh/BtEIQTAEgCsUl1lb3ES+pWddLtfLHR3Rg6wIZeYGI9J22falmvjpIzbuPUvvU+xWXWCsi/UaLw3vWaNsvHykrfZf8cclHZ57jU/4op06RLy75j39Wlz/+6PPe2MQyl9DmZO7Thnmv6Pf5rx5zFj02sbZanXqtWpx6leKqVa3vmS/OfN4pM6YAwmHblTeeYFoRCKYAEMVqtzhdfa/8VoZhKC+QpWDOYeVmHVIw55AC2Yf/mPU8rEDOYQUK2rMOHX1c5PlgztHXyDBK17FhaNOit7X9t0nqMPh+Ne8+qsqX9x5J26JVPz6qLcs+kIz88C72xIQIrilHg2189T+CbfKfz8dVlzc2QTtWTtbmJf9TfjC72FsnntBCbfqMU9Ou/yevP+E4v8roZC/lZVdeAKVnDaasMa0YBFMAqAQ8Ho98sdXki62m+OT6ZbqHkZ+vYG66OdD+Uc4byDqoDQveUMa+taZrAlkHtezLv2nTond08rlVs7w3J2Ov1vz0lDYueEP5ebllu4mRr0B2mgLZaeU2rpqNuqnNGbeqYbtzqvyHBrZgSikvgFIy8vMUzM0wtVk3VEP5IJgCACQdXb9asHOv1MT2fIueV2r9vJe0evpjtjMw03YcLe9t1u0KdRj8QJUo7w1kH9b6OS9o/ewXbG9anFSv7RC1Pf0W1Wrep9x32I1W1jeRQUp5AZRSqN/vPkp5KwTBFABQKjG+WLU9/RY16XShVnz3T23/daL5BYahzYvf0Y6Vk9Qh9X417zG6Us7U5QWytXHh61oz8ynlHjkQ8jXe2EQ17jhChgwFs9MVyDmsYPYhBXLS/yidTj+6a3I58Xj9atJ5pNr0GaeUeu3L7b6Vhe0cU4IpgFIK9fuCXXkrBsEUABCWhOqNdMpFb2tPj9H65es7lL53jen5QFaalk2+VZsW/1cnn/OUTmjS06GRlq/8vKC2LPtAq6c/qqxD20K+xuP1q0XPsTqx3x2KT6pbwv0CRwNrQVjNPvxHcD10dM1vQaAtXA9c5LV/rAn2x1VXww7D1Lr3DUqo3qgivuxK4WgVwJ8o5QVQWtb1pZLki01yYCSVH8EUAFAmdVv118AbZpdc3tt9VFSX9xqGoR0rv9TKqQ/Z1tgW8njU5OSL1W7g3Uqs2bxU943x+hVXrVaV2yHXCdZS3rzcTOXnBRXj5W0QgGMLWDc+ik2qlNVAbsBvZABAmZVY3itFdXnvnt9naOWUB3Rw+5JiX9PgpLPVPvVeSmhdzLr5kXT0LNPYaic4MBoA0cR67jFnmFYcgikA4LgVlPfu7TlGy7+6/Rjlve/o5HOedn1578Fti/XblAe1d8OMYl9Tu/npaj/4ftVqemrkBoYysa4xlY6W8xJMAZQkkG09w5QdeSsKwRQAUG7qtOyngTfM1u/zXtaq6Y+GKO9d9kd5b8HuvbUdGmloh/es0appD2nHyi+LfU31Bierw+D7Vbf1IHa9jRK+2CTJE2M6X5YNkACUhv0MU2ZMKwrBFMU6cOCA5s6dq99//13p6emKi4tTw4YN1bVrV7Vr165C+szIyNDcuXO1du1apaWlye/3q169eurcubO6dOlSIW8Cc3JyNG/ePK1evVoHDhyQx+NRnTp11KFDB/Xs2VNeb/SUHQJuEOOLVZvTx6lx5wv163f/1LYVn9les3nxf7Vj5ZdqP+heteg51vHy3iNpW7Vq+qPasvR9U3gpKrFWK7UfdK8adThPnpiYCI8Qx8Pj8cgfl2I6J5YjYwCUhnWzNHbkrTgEUxfbv3+/Fi1apIULF2rBggVauHChdu3aZXrN/fffrwceeKBc+/3555/1yCOPaMqUKcrLywv5mtatW+vmm2/W9ddfL7/ff9x9rlixQg8//LC++OIL5eaGPqC+YcOGuvbaa3XbbbcpMTHxuPvctGmTHnnkEX3wwQfKzMwM+ZqaNWtqzJgxuvvuu1W7trtmdgC3S0hpqJ5/fUvNexSU9642PR/IStPyr27T5iXv/rF77ykRH2NO5j6tmfmUNi54Xfl5oX/3xCc30EkD71azrpcqxnv8v+/gDH+8OZgyYwqgNKwfYvniKOWtKHzk6zLPPPOMLrnkErVq1Uq1a9fWWWedpXvvvVeTJ0+2hdLyFggEdNNNN+mMM87Qd999V2wolaT169frlltuUffu3bVu3boy92kYhh5++GF169ZNH3/8cbGhVJJ27Nih+++/X+3bt9eCBQvK3KckvfHGG2rfvr1ef/31YkOpJB08eFDPPPOMTjzxRH3zzTfH1SdQVdVp2VcDb5ytjmc9EnKL/aPlvala8vmNysncF5ExBXLSterHR/XDM531+9wJIUOpP6GmOg55WGfeukwteowmlEY565vJQM4hh0YCIJrYduWNZ8a0ojBj6jK33XabI/0Gg0GNHDlSkyZNCuu6FStWqE+fPpo5c2aZyntvuukmTZgwIaxrtmzZov79++u7775T3759w+7zySef1J133hnWNQcOHNC5556r999/XxdddFHYfQJVXYzXrzZ9blbjTgXlvZ/aXrN5ybvasXKyGnYYphivXx6PV54Yr+WfMabHiin+ueLaM9M2a92s55R7ZH/IsXr91dT6tBvV5vRxtvMvEb2sG5YwYwqgNKxrTCnlrTgEU0iS7r77blsorV27tm6++WYNHz5cTZs2LSwtfvbZZ00zlnv37tW5556rJUuWKCWl9OUNL774oi2UJiUl6dprr9VFF12kli1bKj09XStWrND48eM1ZcqUwtdlZWXp/PPP17Jly9SkSZNS9/nVV1/prrvuMrXFxsbqiiuu0OjRo9WmTRvl5uZq9erVeuWVV/TZZ5/JMAxJUn5+vkaNGqU2bdqoW7dupe4TwJ8SUhqo51/fVPOeY7R88m328t7sNG1e/F9Hxubx+tWi51id2O8OxSfVdWQMqDjWYMoaUwClYZ0xtZ6LjPJDMHW5pKQkde/eXT179lTPnj0rZLZu+fLlevrpp01tHTp00Pfff69GjRoVttWsWVOtW7fWRRddpL///e967rnnCp/7/fff9a9//UtPPfVUqfrcvXu3bdayUaNG+v7779WhQ4fCtlq1aql58+Y699xz9fTTT+uOO+4oDIoHDhzQrbfeqk8/tc+8hJKdna3rrruu8HpJql69uiZNmqR+/fqZXtu4cWOlpqbqww8/1KhRowpLjHNycnTttddq4cKFpeoTQGh1WpyhgTfO1u/zXtHqH/+tYG6Gc4PxeNTk5IvVbuDdSqzZ3LlxoEJZ30xaNzQBgFBs55hyXEyFYY2py5xyyim68cYb9fbbb+u3337ToUOHNGPGDD355JP661//WiF93nvvvaawlpycrG+//dYUSovyeDx69tlnNXz4cFP7hAkTtGPHjlL1+cgjj+jIkSOFj71eryZNmmQKpVa33Xabxo0bZ2qbOHGiliwp/uB76/i2b99uanvnnXdsobSoiy++WI8//ripbdGiRfr8889L1SeA4h0t771JqbcsVuPOIx0ZQ4OTztagG+eqxwWvEEorOeubSUp5AZSG9XcFx8VUHGZMXWb+/PkR7W/ZsmWaPHmyqe1f//pXqcpjX3rpJf3www/KysqSdLS89sknn9Szzz57zOt2796tV155xdR20003qXv37iX2+cgjj+iTTz4pDMCGYeihhx4qMSgGAgE99thjprbhw4fbwnUo48aN03//+18tXbq0sO1f//qXzj///BKvBVCyhJQG6jnyDbXqdZ12rflWgezDMow8Gfn5f/zzjz8F/27kFz5WkX83vd70z3xTm2QopV4HtT7tRtVqeqrTXz4ixLpeOJDN5kcASsYa08ghmFZxH3/8selxYmKirrzyylJd26BBA11wwQX63//+V9j26aeflhhMJ02aZNp91+Px2GZCi5OYmKixY8fq4YcfLmz79ttvlZGRoaQk+26fBaZPn669e/ea2m655ZZS9RkTE6Mbb7xRV111VWHbsmXLtH79erVu3bpU9wBQshOa9NQJTXo6PQxUUtZSXmt5HgCEYtuVl2BaYSjlreKsGx6NGDFCycml/ws3evRo0+Nt27Zp8eLFYfV5+umnq2XLlmXuMycnR99//31YfTZt2lT9+/cvdZ8XX3yx4uPjj3lPAIB7sSsvgLKwz5iyxrSiEEyrsC1btmjlypWmtnDCmiSddtpp8vvNZ/t9/fXXxb4+NzdX06ZNO64+W7VqpcaNG5e6T+norGpR/fr1k8fjKXWfiYmJ6tGjR1h9AgDcgzWmAMJl5OfbgymbH1UYgmkV9ssvv9ja+vTpE9Y9EhISbEenrFixotjXr127Vjk5OcfVZ6hrjtVnRkaGNm7cGNE+AQDuYpsxpZQXQAlC7RhPKW/FIZhWYatXm88P9Pl8atOmTdj3adeu3THvW9Jz1uvL0ueaNWsi3ue+fft04MCBsO8DAIg8f5x58yPOMQVQEutsqUQwrUgE0yps1apVpseNGjVSTEz4PxLWHXzXrVunvLy8UvXp9XqLPZYmnD7T09NtR8EU16d0dI3p8fZZ3L0BAO5jnTEN5mb8sUszAIQWquSfXXkrDsG0CrOeOVqaI2JCsYa8nJwc7d+/v1R9NmjQQF6v97j7lFRsMLX26fF4yhSGw+kTAOAu1uNiJMp5ARyb9XeENzZRnpjw37eidDgupgrLyDDXzaeklG0xd6jrMjIyVLdu3Yj3GYq1PSEhwbZhU3n3GY49e/bYjrIpyfr164+7XwCoSqybH0lHZ0NiE2o6MBoA0YAzTCOLYFqFhQpsZRHqunBCYmXsMxwTJkzQgw8+eNz3AQAUzxebJHliJCO/sI11pgCOxRpMWV9asSjlrcIyMzNNj63ndJZWOIGtqvQJAHAXj8djO3+QUl4AxxLgqJiIIpgCAIAqwXZkDDOmAI4haPnwyhdHMK1IlPJWYYmJiabH2dnZZbpPVlaWrS0pKalK9xmOG264QSNHjgzrmvXr1+u888477r4BoCqxvqkMZB9yaCQAooH1wyvWmFYsgmkVZg1VoYJXaYQT2KpKn+GoW7duyI2iAADly3ZkDKW8AI7BWsrLGtOKRSlvFWYNVYcPl+1/0KGuK21IdKLPrKwsBYPBCu0TAOA+lPICCAe78kYWwbQKa9iwoenx1q1by3Qf63VxcXGqVatWqfrcuXOn8vLCP+A81Fit9y6u3TAMbdu2rUL7BAC4j23zI4IpgGMIZjNjGkkE0yrspJNOMj3evn278vPzi3l18bZs2WJ63KZNG3m9oQ8ftvaZl5en7du3H3efycnJaty4can6DHV9WfqUpHbt2oV9HwCAM6xnmbIrL4Bjsf6O8MdXd2gkVQPBtAqzhqpgMKh169aFfZ/Vq1ebHocKgsX1KUmrVq067j5PPPHEYl8bajzl0Wft2rWLnRkGALiP9U1lkM2PABwD55hGFsG0CuvcubOtbc6cOWHdIysrS0uWLDG1derUqdjXt23bVnFxccfVpyTNnj271H0mJyerRYsWx93nzz//XOo+AQDuQykvgHCwK29kEUyrsKZNm6p9+/amthkzZoR1j7lz5yo3N9fUdvbZZxf7+tjYWA0aNOi4+tywYYNtveex+pSkoUOHmh7PnDkzrD6PHDmiRYsWhdUnAMBdbJsfUcoL4BhsM6bxBNOKRDCt4oYPH256PHHiRGVkZJT6+nfeecf0uHHjxurevXtYfc6aNUsbNmwoc59xcXEaMmRIWH1u3rw5rED80Ucf2c4/td4TAOButjWmzJgCOAb7cTEpxbwS5YFgWsWNHDnS9DgjI0Nvvvlmqa7dtWuXPvnkE1PbhRdeWOJ1w4cPV2xsbOFjwzD0wgsvlKrPI0eO6I033jC1DR06tMRjWwYMGKA6deqY2p5//vlS9Zmfn68XX3zR1NalSxe1bt26VNcDANzBdo4pwRRAMYz8fAVzOS4mkgimVVzXrl11zjnnmNruu+++Uu2Ue8MNNygrK6vwcXx8vO64444Sr6tXr56uueYaU9v48eO1dOnSEq+95557TGPzeDy69957S7zO7/frrrvuMrV9/vnn+uqrr0q89oUXXtDixYtNbffdd1+J1wEA3MUfZ978iFJeAMUJBjIlwzC1WT/cQvkimEIPP/ywPB5P4eNDhw5p6NCh2rFjR8jXG4ah2267TZ9//rmp/cYbbyz1uZ7//Oc/Va1atcLHwWBQw4cP18qVK4u95tlnn9Vzzz1nahsxYoS6detWqj5vvPFGNWrUyNR2+eWXa9asWcVe8/HHH+vOO+80tfXo0UPnn39+qfoEALiHbcY0J11GfvhnaQOo/KzrSyV25a1oPqcHALPFixfbymOPZerUqba1jwVq1qxpmyUM5eSTT9bf//53Pf3004VtK1asUJcuXTRu3DgNGzZMTZo00YEDB7R48WI988wzmj9/vukerVq1CmsWsX79+nr88cd18803F7Zt3bpVvXr10nXXXaeLLrpILVq0UEZGhn755ReNHz9eP/zwg+keJ5xwgp555plS9xkfH6+XXnpJw4YNK2xLS0tTamqqRo8erVGjRqlNmzYKBAJatWqVXn31VX3yyScyinxaFhcXp1deeaXUfQIA3MO6xlQ6uoYsNqFG5AcDwNVCrUH3xRJMK5LHMCxz1C6Xk5OjZcuWae3atdq0aZO2bt2q9PR0ZWZmKhgMqlq1akpMTFTdunXVrFkztWjRQieffLIaN27s9NBL5e2339aYMWPK5V7NmjXTpk2bSvXaYDCoESNGaPLkyWH3U7t2bc2cOdO2w29p3HDDDXrppZfCvi4hIUHffvut+vXrF/a1jz/+uP7xj3+EfV1MTIzee+89XXzxxWFfW95+++03dezYsfDxr7/+qg4dOjg4IgBwv0D2YX31iPn9wJDbflW1Gk0dGhEAtzqwdYFmvppa+Njrr6Zh9+1ycESR4eR7TNfPmAYCAc2cOVPffvutZsyYoV9//VXBYDDs+9StW1ennnqqhgwZor/85S9q1qxZBYw2evl8Pn322We65ZZbwgqKHTp00Oeff642bdqUqd8XX3xR9evX17/+9S/l5ZWunKpJkyb65JNPdOqpp5apz7vuuku1atXSuHHjTGtkj6VmzZr673//a1uPCwCIHr7YJMnjMa0bY2deAKHYd+RltrSiuXaN6fTp0zVmzBjVrl1bQ4YM0XPPPaelS5cqEAjIMIyw/+zevVuTJ0/WTTfdpJYtW6pLly569tlntXv3bqe/VNfw+/2aMGGCfvrpJw0ZMkQxMcX/eLRs2bLwe1LWUCod3bzovvvu05IlSzRy5EjTbr1WDRo00AMPPKCVK1eWOZQWuOqqq7Ry5UpdeeWVprWuVjVr1tStt96qNWvWEEoBIMp5YmLkj+PIGAAlC2azI2+kuaqUNyMjQ6+99prGjx+vzZs3S5JpfV/RDXrKwvqlejweeb1eDR8+XLfeeqtOO+2047p/ZbN//37NnTtXv//+u9LT0xUbG6uGDRuqW7duZSrbLY309HTNmTNH69at06FDh+T1elWvXj2dfPLJ6tq163H/DISSnZ2tefPmadWqVTp48KA8Ho9q166tjh07qmfPnvL53FdYQCkvAJTNd091UNahrYWPe132kRqcONTBEQFwo02L39XSL24sfFyzUTf1v26GcwOKkCpfynvw4EE9/vjjevnll5Wenl5sGD3eDG0NNYZhKBgMauLEiZo4caJOOeUU3X///TrrrLOOq5/KolatWhGfJUxOTtaQIUM0ZMiQiPUZHx+v/v37q3///hHrEwDgDH98irIO/fmYs0wBhBK0HCfli+OomIrmaDDNzMzU008/rWeeecYUSAsCZEEZrnQ0PHTq1Eknn3yyOnXqpGbNmqlx48Zq0KCBqlWrpoSEBPl8PmVlZSkrK0sHDhzQtm3btH37dq1evVrLly/XL7/8om3bthX2bw298+fP19lnn63TTz9d//73v9WnT58I/tcAAAAVzXpkDKW8AEKxHhfDGtOK51gwff/993XnnXdq586dIQOpJHXt2lXnnnuuBgwYoN69ex9z/WGBxMREJSYmqnbt2mrbtq3t+U2bNmn69OmaOnWqvv76ax0+fNjW96xZs9S3b19ddNFFeuqpp0p9NicAAHA366wHwRRAKNbfDf54gmlFcySY9u/fX7NmzTIF0oLZ0bZt22rs2LEaOXKkWrRoUe59N2/eXGPGjNGYMWOUm5urKVOm6P3339fEiROVk5NjCqgfffSRvvrqK7333ns699xzy30sAAAgsmwzpjkEUwB27MobeY7syvvTTz9J+nOWMiYmRhdddJFmzJih1atX684776yQUGoVGxurs88+W++99562b9+up59+Ws2bN5dhGIVhOTMzU0uXLq3wsQAAgIpnDaasMQUQirWUl115K55jx8UYhqHY2Fhde+21WrNmjT744AP17dvXqeHohBNO0K233qp169bp3XffNe1GBQAAKgd/XHXT40D2oWJeCaAqY/OjyHMkmMbExGjUqFFau3atXnrpJbVs2dKJYYQUExOjSy+9VMuXL9e7776r5s2bOz0kAABQTnyU8gIoBWspr7XaAuXPkTWmy5Yti4oZyUsvvVR//etftWnTJqeHAgAAygG78gIojWA2a0wjzZEZ02gIpQX8fr/atGnj9DAAAEA58MexxhRAyazVFKwxrXiOrTEFAACINHblBVAa9nNMKeWtaARTAABQZfjirZsfEUwBmBmGwYypAwimAACgyrCV8uamy8jPd2g0ANwoLzdTMgxTmy+eYFrRCKYAAKDKsO2saRgK5qaHfjGAKsm6I69k/1AL5Y9gCgAAqoxQRz5QzgugKOv6UoldeSOBYAoAAKoMX2yy5PGY2gimAIoKZB8yPfb6ExTj9Ts0mqqDYAoAAKoMT0zM0XBaBDvzAijKviMvs6WR4HOy87FjxzrZvYnH49Ebb7zh9DAAAEAF88enKFgkjAYtsyMAqjbrGlOCaWQ4GkzffvtteSzlNE4wDINgCgBAFeGPS1FWkceU8gIoyjpjysZHkeFoMC1gWLZjBgAAqCg+ywZIlPICKMp2hmmITdNQ/lwRTJ2eNSUYAwBQdVjfZDJjCqCoYDalvE5wRTAlGAIAgEixluUFCaYAimCNqTNcEUwL1KpVS//3f/+nK664QvXr13d6OAAAoBLyx1c3PQ7ksPkRgD8FraW8BNOIcEUwLSjlPXDggF544QW99NJL+stf/qKxY8fq7LPPltfrdXiEAACgsrCtMWXGFEAR1t8JPjY/ighHzzFt2bKlDMMwlfIahqFgMKjJkyfr/PPPV+PGjXXnnXdq1apVDo4UAABUFtZSXoIpgKLsu/IyYxoJjgbT9evXa/r06brsssuUkJBQGFALZlANw9Du3bv19NNPq2PHjurdu7def/11ZWRkODlsAAAQxeybH1HKC+BP1jWm7MobGY4GU0nq16+f/vvf/2rnzp16+eWXdcoppxTOono8Hnk8nsLHCxYs0LXXXqv69etr9OjRmjlzptPDBwAAUcb6JpPNjwAUZZ0xZfOjyHA8mBZITk7WNddco3nz5unXX3/Vrbfeqjp16oScRT1y5IjeffddDRw4UG3atNG///1vbd++3cnhAwCAKME5pgCOxRZM4wmmkeCaYFpU+/bt9fTTT2vbtm369NNPdfbZZysmJsY0iyodDam///677r33XjVv3lxDhw7Vp59+qkAg4PBXAAAA3MofZ9mVlxlTAEVYfydY16WjYrgymBbw+XwaMWKEJk+erK1bt+rf//632rRpE7LUNy8vTz/88IMuuugiNWzYUH/729+0bNkyp78EAADgMrZS3tx0Gfn5Do0GgJsYhmGroqCUNzJcHUyLql+/vv7xj39o9erV+umnnzRq1ChVq1YtZKnv/v37NX78eHXv3l3dunXTiy++qIMHDzo5fAAA4BK2jUwMQ8Hc9NAvBlCl5AWOSIb5gyp25Y2MqAmmRZ1++ul66623tGvXLr322mvq3bt3sRsmLVu2TOPGjVPDhg11ySWXKDs72+nhAwAAB4U6k5ByXgCSfX2pxDmmkRKVwbRAYmKirrzySs2ePVurVq3S7bffrnr16oWcRc3JydHHH3+sw4f5Hw8AAFVZqNkPgikASQpk24MpM6aREdXBtKgTTzxRTzzxhLZu3aovvvhCw4YNk9frNW2WBAAA4Inx2taMsTMvAEkKWn4XxPjiFeOLdWg0VUulCaYFvF6v2rdvr3bt2qlmzZqFs6cAAAAFrLtsBrMPOTQSAG5i/ZCK2dLI8Tk9gPJy5MgRffTRR3rzzTc1Z86cwnZmSwEAgJUvPkU6/OcZ6JTyApDspbzsyBs5UR9Mf/75Z7311lv65JNPlJmZKUkh15hKUvfu3ZWYmOjMQAEAgGtYd+allBeAZN/8yLaLNypMVAbTnTt36p133tHbb7+tdevWSTKH0aK78tauXVuXXXaZxo4dq44dOzo5bAAA4BLWUl5mTAFI9jWmzJhGTtQE02AwqEmTJunNN9/UDz/8oPz8fFsYlY4GVK/Xq7POOktjxozRsGHD5PNFzZcJAAAiwDoLEiSYApAUsM6YclRMxLg+sa1YsUJvvPGG3n//fe3fv19S8aW6bdu21ZgxYzRq1CjVr1/fmQEDAADX88VXNz0O5LD5EQB7KS8zppHjymCalpam999/X2+++aaWLl0qqfhS3aSkJI0cOVJjx45Vnz59nBw2AACIEpTyAgjFNmMaTzCNFFcF0ylTpujNN9/UpEmTlJOTYzrqxTo72qdPH40dO1Z//etf2dAIAACExbb5EcEUgOxHR/ko5Y0Yx4Ppxo0b9dZbb+m///2vtm7dKil0qa5hGGrQoIGuuOIKjR07Vm3atHFszAAAILrZ1piyKy8A2WdMKeWNHEeD6cCBA/XTTz8VBk/JvpGR3+/XOeeco7Fjx2ro0KGKiYlxcsgAAKASsM6CMGMKQApxXAzBNGIcDaYzZswo/Pei60YlqUOHDho7dqwuv/xy1a5d26ERAgCAyshv3fyIYApAUiCbc0yd4ngpb9HZ0Ro1aujiiy/W2LFj1aNHD4dHBgAAKitKeQGEYt+Vl2AaKY4HU+loKPV4PEpPT9frr7+u119/PeJj8Hg8ysnJiXi/AAAg8my78uYclpGfLw9LhoAqLWD5kIpS3shxRTCVjobTvLw8x/ovmLkFAACVn89anmcYCuZmULYHVGGGYdiqJ9j8KHJcEUydDoVFj6UBAACVX6gAGsg5TDAFqrC8QJaMfPNEmY9zTCPGFcGUYAgAACLJWsorScHsw1L1EC8GUCVY15dKoX9XoGI4Gkz79u3r+GwpAACoejwxXvlikxTMzShsY2deoGqzri+VKOWNJNccFwMAABBJvvgUczDNOeTgaAA4zTpjGuOLk9cX59Boqh62ngMAAFWSbWdeZkyBKs1+VAyzpZFEMAUAAFWS7SxTgilQpVk/nOKomMgimAIAgCrJGkyZMQWqNusaUx8bH0UUwRQAAFRJ1jedoTY+AVB1WEt5mTGNLIIpAACokvzx5rNhAtlsfgRUZcFs1pg6yRXnmFoFAgH9/PPPWrJkifbu3au0tDTVqFFDderUUdeuXXXGGWfI7/c7PUwAABDFWGMKoKiAdcY0nlLeSHJVMN23b58efPBBvf322zpy5Eixr6tWrZquuOIK3X///apbt24ERwgAACoL2668lPICVRq78jrLNaW8P/74o9q0aaMJEyYoMzNThmEU+yczM1Mvv/yy2rRpoylTpjg9dAAAEIV8bH4EoAjrh1PWD69QsVwRTL/77judffbZOnTokAzDkMfjKfGPYRhKT0/Xueeeq2+//dbpLwEAAEQZduUFUJT1dwAzppHleDA9cOCAxowZo5ycnMLQWVTRmdKiCl6bm5urMWPG6MCBA5EcNgAAiHL+OPPmR0FKeYEqzbYrbzzBNJIcX2P6wAMPaPfu3aZAWhBCmzdvrg4dOqh69eo6dOiQfvvtN23atEmSTK/fu3ev7r//fo0fPz6iYwcAANGLGVMARbHG1FmOzphmZWXp3XffLQyZBTOjgwcP1pIlS7RhwwZNnjxZ//vf/zR58mRt2LBBixcv1uDBgwvDa0FZ7//+9z9lZ2c7+eUAAIAoYltjmnPYVqEFoOqw7cprqapAxXI0mH711Vc6dOjomWEFa0uvvvpqfffdd+rSpUvIa7p27arvvvtO11xzjel/HocPH9bkyZMjMWwAAFAJ2I6CMPIVzM1wZjAAHGct5/dRyhtRjgbT+fPnmx536NBBL774om2dqZXH49ELL7ygTp06HfN+AAAAxQm14yZnmQJVk2EYIWZMCaaR5GgwXbx4saQ/Z0tvv/12+XylW/bq8/l0++23F15b9H4AAAAl8YUIpqwzBaqm/GC2jLyAqY01ppHlaDDdunWraXb07LPPDuv6v/zlL4X/bhiGtmzZUm5jAwAAlVuM1ydvbKKpzXqOIYCqwTpbKnGOaaQ5GkwL1pdKUv369VWrVq2wrq9Vq5YaNGhQ+PjwYf5nAgAASs8fb97cJJB9qJhXAqjMQh0XxYxpZLkmmNasWbNM9yh6HcEUAACEwzojwhpToGoKZJtnTGO8sfL64x0aTdXkaDANBoOF/x4bG1ume/j9/pD3AwAAKIntLFNKeYEqiTNMnedoMAUAAHCSLZgyYwpUSezI6zyCKQAAqLKsO/MSTIGqKWhZXx5q125ULIIpAACosqybHwVz2PwIqIqsM6a+eGZMI41gCgAAqixKeQFI9jWmlPJGHsEUAABUWdZdeQmmQNVkX2NKKW+k+ZweQIHly5fL6/WW6VrDMAr/WdZ7eDwedvUFAKCK8bErLwDZzzGllDfyXBNMC8KlW+4DAAAqP2spL+eYAlVTMNt6XAwzppHmimDq8Xgc7Z8wCwBA1eSPM29+RCkvUDVxXIzzWGMKAACqLNvmR+zKC1RJ1jJ+H8E04hydMW3atKnjs6UAAKDqsq4xDeakyzAM3p8AVYy1lJcZ08hzNJhu2rTJye4BAEAVZ50xNfLzlJebKV9ckkMjAuAE2+ZHrDGNOEp5AQBAlRXqSAh25gWqHtsa03iCaaQRTAEAQJUValaEDZCAqieYY92Vl1LeSCOYAgCAKivG65M3NtHUFshmAySgKskL5ig/L9fU5ucc04gjmAIAgCrNWs5rXWsGoHILdX4xa0wjj2AKAACqNNuRMZTyAlVKqHXl7MobeQRTAABQpVmPjCGYAlWLdX2pJ8anGF+8Q6OpugimAACgSrOW8rIrL1C1hNqRl7OMI8/Rc0zLw5YtW8p8bWJiomrVqlWOowEAANHGH1/d9DjI5kdAlRLMtu7Iy/pSJ7gimB45ckSbNm0ytVWrVk3Nmzcv8drmzZuX+RON2rVra926dUpJ4YcPAICqijWmQNVmrZJgfakzXFHKe/fdd6tTp06mP/Pnzy/19YZhlOnPvn379Mgjj1TgVwYAANzOOjtCMAWqFutO3Jxh6gzHg+nOnTv12muvFYZFSRo9erQuuuiiUt/D4/GU6Y9hGBo/frw2b95cUV8eAABwOduMKWtMgSolYCvlJZg6wfFg+sQTTyg7O7uwHLdu3bp65plnwr5PuLOlBXJycvTSSy+V29cDAACiizWYhjrTEEDlZd2Vl1JeZzi6xjQ/P1/vv/9+4eylx+PRPffco+rVq5d8cQhJSUnq3r17ia/LysrSggULCvt977339Oijj7L7FgAAVZBtV16CKVCl2NaYxpcti+D4OBpMZ86cqb1795pmS6+99toy369169aaPn16qV7bsWNHrVq1SpK0Y8cOTZ06VYMHDy5z3wAAIDr5LG9CKeUFqhbrjCmlvM5wtJT3s88+k6TC2dKrrrpKPl9ksvLtt99e2K8kffHFFxHpFwAAuIt9V16OiwGqEts5pgRTRzgaTGfPnm0qnw1nw6Pjdd555xWGYMMwtGDBgoj1DQAA3MNayhvMOWzajwJA5WabMY0nmDrBsWAaCAS0cuXKwseNGzdWx44dI9Z/jRo1dOqppxb+j+fXX39VMBiMWP8AAMAdrDOmRn6e8gJHHBoNgEizriunlNcZjgXTlStXKhAISDp63Evv3r0jPoYOHToU/ntubq5++eWXiI8BAAA4y2cJphIbIAFVifUcU2sVBSLDsWC6ceNG0+N27dod1/3KsqNu27ZtTY+3b99+XGMAAADRJ9SbUIIpUHXY1piG+LAKFc+xYHro0NGNBQpKaZs0aXJc9yvLWpCaNWuaHqelpR3XGAAAQPSJ8frl9VcztQVz2AAJqCrYldcdHDsupiCYFkhOLtsPQLdu3QpnS0866aSwrk1KSjI9JpgCAFA1+eNTTOtKmTEFqoa8YI7ygzmmNoKpMxwLpunp5k8myrr73aJFi8o8hoI+C4KtdUwAAKBq8MWlSOm7Ch8TTIGqIZiTYWtjjakzHCvljY2NNT3ev39/xMdQ0GdBQPX7/REfAwAAcJ7tLNMcgilQFQRClO0zY+oMx4JpYmKipD9nKw8cOBDxMVj7LBgTAACoWqzBNMiMKVAlBLPNFZOeGK+8/gSHRlO1ORZMGzZsaHq8adOmiI/BujNwgwYNIj4GAADgPH9cddPjQDabHwFVQaiNj8py2geOn2PBtHnz5oX/bhiGZsyYEfExzJw50/SDV3RMAACg6rCeZUopL1A12I6KsXxIhchxbPOjDh06KDY2VoFAQJK0YcMGbdu2TY0bN45I/1u3btXvv/9eGEz9fr86duwYkb4RWkZGhubOnau1a9cqLS1Nfr9f9erVU+fOndWlS5cK+fQqJydH8+bN0+rVq3XgwAF5PB7VqVNHHTp0UM+ePeX1esu9TwCA+9jWmFLKC1QJQcuHUKwvdY5jwdTv96t79+6aO3duYdvrr7+uBx54ICL9v/7664X/7vF41LVr1yq7+VF5BL7u3buXeYfkFStW6OGHH9YXX3yh3NzckK9p2LChrr32Wt12223lshZ406ZNeuSRR/TBBx8oMzMz5Gtq1qypMWPG6O6771bt2rWPu08AgHtZd+FkjSlQNdhmTOMJpk5xrJRXks455xxJR4ORYRj6z3/+YzvftCKkpaXpP//5T2G/RceCyDEMQw8//LC6deumjz/+uNhQKkk7duzQ/fffr/bt22vBggXH1e8bb7yh9u3b6/XXXy82lErSwYMH9cwzz+jEE0/UN998c1x9AgDcjV15garJWh3BjKlzHA2mF110kWm27vDhw7rrrrsqvN8777xThw//+UPo8Xh08cUXV3i/MLvpppt07733KhgMlvqaLVu2qH///vrpp5/K1OeTTz6pq666SllZWaW+5sCBAzr33HP10UcflalPAID72daYMmMKVAnWzY/8BFPHOFbKK0ktW7bUX/7yF3399deFs5evvfaaTjzxRN16660V0uczzzyj119/vbA/j8ejs846S61ataqQ/qLRddddp+rVw1v4He7a4BdffFETJkwwtSUlJenaa6/VRRddpJYtWyo9PV0rVqzQ+PHjNWXKlMLXZWVl6fzzz9eyZcvUpEmTUvf51Vdf2T74iI2N1RVXXKHRo0erTZs2ys3N1erVq/XKK6/os88+K5xRz8/P16hRo9SmTRt169YtrK8VAOB+1g1PguzKC1QJ9jWmKcW8EhXN0WAqSQ899JC+/fbbwpBoGIbuvPNOpaen65577lFMTPlM6hqGoYceekgPPfSQaZbW4/HooYceKpc+Kou77rqrQnco3r17t+68805TW6NGjfT999+rQ4cOhW21atVS8+bNde655+rpp5/WHXfcURgUDxw4oFtvvVWffvppqfrMzs7WddddV3i9JFWvXl2TJk1Sv379TK9t3LixUlNT9eGHH2rUqFGFJcY5OTm69tprtXDhwjJ93QAA97KW8uYSTIEqIZBtXWNKMHWKo6W8ktSlSxdTYPB4PMrLy9ODDz6ovn37asmSJcfdx5IlS3TGGWfowQcfVF5eniQVBuFrrrlGXbt2Pe4+UHqPPPKIjhw5UvjY6/Vq0qRJplBqddttt2ncuHGmtokTJ5b652PChAnavn27qe2dd96xhdKiLr74Yj3++OOmtkWLFunzzz8vVZ8AgOhhfTMazDls+jATQOUU6hxTOMPxYCpJTz31lOmoloKZ0zlz5qhnz5469dRT9cYbb+j3338v9T1///13vfnmm+rVq5d69uypuXPnFobRAu3bt9czzzxTrl8Ljm337t165ZVXTG033XSTunfvXuK1jzzyiBo2bFj4uGAWvCSBQECPPfaYqW348OEaPnx4ideOGzfO9sHFv/71rxKvAwBEF+saUyM/T3mBI8W8GkBlYT/HlGDqFMdLeSUpPj5e33zzjfr06aNt27ZJ+jOcGoahhQsXFh5FUrNmTXXr1k1169ZV9erVVaNGDUnSoUOHlJaWpr1792rJkiU6cOCAJJk+7SwIpYZhqEmTJvr2228VHx8fwa8UkyZNMu2+6/F4bDOhxUlMTNTYsWP18MMPF7Z9++23ysjIUFJSUrHXTZ8+XXv37jW13XLLLaXqMyYmRjfeeKOuuuqqwrZly5Zp/fr1at26danuAQBwP+saU+noBki+2OM/ogyAe7HG1D1cEUylo+v6Zs2apaFDh2rVqlXyeDymIFl0beG0adOOeS9r6U3RWVLDMHTiiSfqu+++C3vDHhy/SZMmmR6ffvrpatmyZamvHz16tCmY5uTk6Pvvv9cFF1xQ6j6bNm2q/v37l7rPiy++WDfddJOys7NN97zttttKfQ8AgLuFWlcWyD6shJQGDowGQKRwXIx7uKKUt0DTpk01b948XXrppbaZzqJ/CoJqcX+sr5f+DLf/93//p/nz56tZs2ZOfZlVVm5uru1DhXACoiS1atXK9oHC119/fcxrvv32W9Pjfv36mT6sKEliYqJ69OgRVp8AgOgS4/XL608wtQVz2AAJqOxsx8XEE0yd4qpgKknJycl699139f3336tLly6m2dIC1uAZKogWKLi+S5cu+v777/W///1PKSlM0Tth7dq1ysnJMbX16dMn7PtYr1mxYkWxr83IyNDGjRsj2icAIDpZS/g4yxSo/OxrTMkJTnFNKa/V4MGDNXjwYM2aNUtvv/22vvrqK9s6wZLUrl1bZ599tsaMGaO+fftW0Egrn5ycHM2ePVu//vqr9u7dq7y8PNWqVUu1a9dW9+7d1aZNmzLdd/Xq1ba2du3ahX0f6zVr1qyJeJ/79u3TgQMHdMIJJ4R9LwCAO/njU5STsbvwMcEUqNzyg7nKD2ab2lhj6hzXBtMCZ5xxhs444wwZhqGVK1dq8eLFWrt2rbZt26aDBw8qKytLhmEoISFBNWvWVJMmTdSmTRt1795dHTp0CKtkE0d17NhRwWCw2OcbNGigkSNH6rbbblPTpk1Lfd9Vq1aZHnu9XjVq1Cjs8TVp0sT0OD09Xdu3bw95L2ufksIac3F9Fty7LLOvAAB3sq4zDeQQTIHKLJCbbmujlNc5rg+mBTwejzp06HDMsy5RPo4VSiVp586dev755/XSSy/p73//ux5++GH5fCX/KO3YscP0uEGDBvJ6vWGPL1SwLC6YWvv0eDxlCsPF9QkAqDysJXxBZkyBSs26vlRi8yMnRU0whfsEAgE9/vjjmjNnjiZPnqzq1e1b7ReVkZFhelzWtb6hrrPeu7j2hIQE+f3+Cu0zXHv27Am7TH39+vXl0jcA4E++ePP/xwLZbH4EVGa2cn1PjLz+as4MBgRTHBUTE6NTTjlFZ599tnr06KF27dqpVq1aiouL08GDB7VhwwbNnDlTb7zxhtatW2e6dtasWRo5cqS++eabY86chgqJZRHqunCCaUX3Ga4JEybowQcfLJd7AQDKjlJeoGqx7cgbl8IyQAe5bldeRN4dd9yh9evXa+7cubrnnnt01llnqVmzZkpKSpLf71fdunXVq1cv3XXXXVq9erVefPFFxcXFme4xZcoU/etf/zpmP5mZmabH8fHxZRpvOCHRiT4BANHJWsrL5kdA5Wb98CnUecaIHIIp9MQTT6hFixalem1MTIxuuOEGffvtt7aS2GeeeUZ79uypiCECAFDhrG9KWWMKVG7BbPOMKetLnUUpL8pkwIAB+ve//6077rijsC0zM1Mvv/yy7rvvvpDXJCYmmh5nZ2eHfF1JsrKybG1JSUmu6TNcN9xwg0aOHBnWNevXr9d5551XLv0DAI7yUcoLVCnWUl6CqbMcCabff/+9hgwZ4kTXYTt48KB+//139ejRw+mhuM7NN9+sZ5991rTz7XfffVdsMLUGuVBhrzTCCYlO9BmuunXrqm7duuVyLwBA2fnjrJsfEUyByixgW2NKMHWSI6W8Q4cO1ZAhQ7R8+XInui+VnJwcPfHEE2rVqpW++eYbp4fjSnFxcTrnnHNMbQsWLCg2/FmD3OHDZfsffqjrwgmmJR2Hc7x9AgCik72Ul115gcrM+uETM6bOcmyN6dSpU9W9e3eNGDFCixYtcmoYNpmZmXrqqafUsmVL3X333Tp0iP8pHUvv3r1Nj/Py8rR79+6Qr23YsKHp8c6dO5WXlxd2n1u3bi3x3sW1G4ahbdu2VWifAIDoxK68QNUSZPMjV3F086P8/HxNmjRJp556qlJTU/X555+XKaiUh/Xr1+vOO+9U06ZNddddd2nnzp0yDMORsUSTUCWoxZ3JedJJJ5ke5+Xlafv27WH3uWXLFtPj5ORkNW7cuFR9hrq+LH1KUrt27cK+DwDAvXwhduXlvQBQeVlLeZkxdZYjwfSSSy6RYRiF5wQZhqHp06frwgsvVJMmTXT33Xdr8eLFFT6OAwcO6M0339SgQYN04okn6umnn9bBgwdNY2vQoIEGDBhQ4WOJVqH+h13c+U+hgtyqVavC7nP16tWmxyeeeGKxrw0VTMujz9q1a6tWrVph3wcA4F7W2RIjP6i8QNn2JgDgfqHOMYVzHAmm7733nqZPn6527drZAuquXbv0xBNP6JRTTlHLli11880367PPPtO+ffuOu9/8/HzNnz9fjz32mFJTU1W/fn1dffXVmjFjhgzDMI3F6/Xqtttu05o1a3TGGWccd9+VVaiy3Tp16oR8bdu2bW3nn86ZMyfsPmfPnm163KlTp2Jfm5ycbDsKpyx9/vzzz6XuEwAQnfzx1W1t1lI/AJWHbVfeeGZMneTYcTH9+vXT8uXL9cYbb+jhhx/Wtm3bTAFVkjZt2qQJEyZowoQJkqSmTZuqc+fO6tixo5o1a6ZGjRqpfv36SkxMVEJCgrxer7Kzs5WVlaUDBw5o27Zt2rZtm9asWaMVK1Zo5cqVpuNCCvrxeDzyeDyFj//617/qoYceUps2bSL5nyQqzZ071/TY6/UWu8NsbGysBg0aZNpMasaMGWH1t2HDBtt6z7PPPvuY1wwdOrTwZ0iSZs6cGVafR44csa2DLqlPAED0CTVbEsg+rPjk+g6MBkBFs64jZ8bUWY6eY+r1enXNNddo1KhRmjBhgp599llTQJXMpaKbN2/Wli1b9NVXX4Xdl7XktCCMFjwXExOj8847T/fdd59OPvnkMn5FVUtWVpbte9GzZ08lJCQUe83w4cNNwXTWrFnasGGDWrZsWao+33nnHdPjuLi4Eo8eGj58uCmYbt68WTNmzFD//v1L1edHH31kO/90+PDhpboWABA9YnyxivHFKz/45+/8ADvzApUWu/K6i6ObHxWIi4vTrbfeqg0bNujdd99V9+7dTaW1Rf8UtIf7p7j7JCUl6aabbtKaNWv02WefEUrD8Nxzz2nXrl2mtrPOOuuY1wwfPlyxsbGFjw3D0AsvvFCq/o4cOaI33njD1DZ06NASj20ZMGCArbz4+eefL1Wf+fn5evHFF01tXbp0UevWrUt1PQAgurAzL1B12NeYEkyd5IpgWsDn8+nSSy/VggULtGLFCt12221q3LjxMQNmaf8UvYff79fQoUP13nvvaffu3Xr++efVqlUrp7/8iNu1a1eZd0H+4YcfdN9995naqlWrpmuvvfaY19WrV0/XXHONqW38+PFaunRpiX3ec889pl18PR6P7r333hKv8/v9uuuuu0xtn3/+ealm3l944QXbRlzWrxsAUHlYS/mC2QRToLKyrTElmDrKVcG0qA4dOujJJ5/U5s2btXz5cj322GMaOnSoatWqFfZsqc/nU9euXXX99dfr888/1/79+/X111/rkksuUXx8vNNfqmM+/PBDtW/fXm+99ZYyMjJKdU0wGNSzzz6rc845R8Fg0PTc3//+d9WvX/I6nH/+85+qVq2a6Z7Dhw/XypUri73m2Wef1XPPPWdqGzFihLp161aqcd94441q1KiRqe3yyy/XrFmzir3m448/1p133mlq69Gjh84///xS9QkAiD62GVOCKVAp5ecFbLtuh9oADZHj6BrT0urUqZM6depUGBK2bNmitWvXatOmTdq2bZsOHz6sI0eOKC8vTwkJCUpMTFTdunXVrFkztWzZUu3atbPtBouj1q5dq7Fjx+rGG2/UWWedpT59+qhr165q1qyZqlevrvj4eB08eFAbNmzQjBkz9NZbb2nz5s22+5x55pmlnkmsX7++Hn/8cd18882FbVu3blWvXr103XXX6aKLLlKLFi2UkZGhX375RePHj9cPP/xguscJJ5ygZ555ptRfZ3x8vF566SUNGzassC0tLU2pqakaPXq0Ro0apTZt2igQCGjVqlV69dVX9cknn5jWJsfFxemVV14pdZ8AgOjjs7wxpZQXqJyss6USM6ZOi4pgatW0aVM1bdrU6WFUKllZWfr888/1+eefh33twIED9emnn8rv95f6mptuukkrV67USy+9VNiWnp6uJ598Uk8++eQxr01ISNDEiRPD/hk499xz9dhjj+kf//hHYVtubq5effVVvfrqq8e8NiYmRm+//XapZ2gBANHJWsrL5kdA5RQIEUxZY+os15bywv2qVaumxx9/XFOmTFFycvh/kV988UU9+OCD8nq9pb6mSZMmmj59uvr16xd2f5J011136bXXXjvmzsFWNWvW1KRJk3TxxReXqU8AQPSwlvKyxhSonGwzph6PvLGJzgwGkgimVdpFF12kCRMmaOTIkWrWrFmpromJidHJJ5+sJ554Qtu2bdOdd96pmJiy/Rh5PB7dd999WrJkiUaOHGnardeqQYMGeuCBB7Ry5UqdeuqpZeqvwFVXXaWVK1fqyiuvNK11tapZs6ZuvfVWrVmzRuecc85x9QkAiA4+duUFqgTr+nF/XIrpyEpEXlSW8qJ8NGjQQNdff72uv/56SUfXXK5evVpbt27Vrl27lJmZqWAwqJSUFNWsWVONGzdWjx49yjQ7eiydO3fWxx9/rPT0dM2ZM0fr1q3ToUOH5PV6Va9ePZ188snq2rVruf6yaN68uV5//XW98MILmjdvnlatWqWDBw/K4/Godu3a6tixo3r27Cmfj78iAFCV2Et5CaZAZRTM4QxTt+FdNwrVqFFDvXr1Uq9evRzpPzk5WUOGDNGQIUMi1md8fLz69++v/v37R6xPAIB7sSsvUDVY15haP5RC5FHKCwAA8AfrcRHWWRUAlYPtDNN4ZkydRjAFAAD4g49deYEqwT5jSjB1GsEUAADgD5TyAlWDdcdt64dSiDyCKQAAwB9swTTnsAzDcGg0ACqKdcdtNj9yHsEUAADgD9ZgauQFlB/Mdmg0ACqKdY0ppbzOI5gCAAD8wR9X3dZGOS9Q+QSyLcE0nlJepxFMAQAA/uAL8eaUYApUPrZdeZkxdRzBFAAA4A9eX5xifHGmtkAOO/MClY31KCg2P3IewRQAAKAIv+UNqnX3TgDRj+Ni3IdgCgAAUIS1nJdSXqDysf699sUTTJ1GMAUAACgi1JExACoXduV1H4IpAABAEdadeZkxBSqX/Lyg8gJHTG2sMXUewRQAAKAIf7w5mAaz2fwIqEyCuem2No6LcR7BFAAAoAhKeYHKzVrGK3FcjBsQTAEAAIpg8yOgcgtkW4KpxyOfP9GZwaAQwRQAAKAI63ExBFOgcrHOmPpik+WJIRY5zfXfgYyMDKeHAAAAqhBrKW+QUl6gUgnkmNeNsyOvO/icHkBJatWqpVNOOUWDBg1SamqqevfuLa/X6/SwAABAJWXd/IgZU6ByCVpKeVlf6g6uD6aBQEBz5szRnDlz9NBDDykxMVF9+/ZVamqqBg0apE6dOjk9RAAAUIlYj40IsCsvUKkErGeYsiOvK7g+mBYwDEPS0dLeb7/9Vt9++60kqW7duho4cKBSU1OVmpqqJk2aODlMAAAQ5diVF6jcbGtMmTF1hagJph6Pp/DfC0KqJO3evVsffvihPvzwQ0lS69atC2dTBw4cqBo1akR6qAAAIIrZ1phSygtUKtYPm6wbnsEZrg+mjz32mKZNm6aff/5ZWVlZhe3FBdV169Zp/fr1evnllxUTE6OuXbsWzqaefvrpio2Njej4AQBAdLEG0/y8XOUFsuX1xzs0IgDlyTZjGs+MqRu4flfeO++8U99//70OHjyoadOm6f/9v/+nU045RTExMTIMQ4ZhyOPxmP4UtOfl5WnRokV6/PHHNXjwYNWsWVNnnnmmHn/8cS1evNjpLw0AALiQP666rY1yXqDysG5oRimvO7g+mBaIjY3VgAED9PDDD2vevHnat2+fJk6cqBtuuEFt27YtDKPHCqpZWVmmcFu7dm2NHDlSr7zyin7//Xenv0QAAOACvhAbobABElB5WGdMOS7GHVxfyluc6tWr67zzztN5550nSdq+fbumTp2qqVOnatq0adq1a1fha4uW/Up/lv4eOHBAEydO1MSJE+XxeBQMBiM2fgAA4E5eX5xifHHKD+YUtrHOFKg82JXXnaI2mFo1atRIo0aN0qhRoyRJK1euLAyqM2fOVHr6nz+Axa1PBQAAkI5uhpIT3Fv4mFJeoPII5lhLeQmmblBpgqlV+/bt1b59e40bN055eXmaP3++pk2bph9++EGzZ88uDKcFpb4AAAAFfPEpysksEkyZMQUqjUA2pbxuFDVrTI/H5s2b9euvv2rFihVatWpVYTuBFAAAhGI7y5RgClQanGPqTpVyxvTAgQOaNm1aYSnvpk2bTM8XnS0FAACwsu7MG8xh8yOgsrCW5hNM3aFSBNPc3FzNmjVLU6ZM0dSpU7Vs2bLC2dCis6IFQbRoW40aNdS/f38NHjw4soMGAACuxYwpUDkZ+XnKy800tflZY+oKURtMlyxZUjgjOnv2bGVnZ0uyB9GiYdQwDMXGxuq0005TamqqUlNT1aNHD8XEVImKZgAAUErWI2MIpkDlYN2RV2JXXreImmC6adOmwhnRH3/8UQcOHCh8riCMhgqiHo9HnTt3Lgyiffv2VUJCgiNfAwAAiA7WGRR25QUqB+v6UolSXrdwfTC97rrrNHXqVG3cuLGwLdSsaEEQlaSmTZtq8ODBSk1N1aBBg1S7du2IjxsAAEQv6wwK55gClUPIYBqb5MBIYOX6YPrqq6/ajnQp+tgwDNWsWVMDBgwonBVt3bq1U8MFAACVAGtMgcrJWsrri0uWh2V9ruD6YFqgaIlu0XWigwcPVvfu3dlhFwAAlBufZVfeALvyApVCkB15XStqgql0NJTGxMRoyJAhGjZsmFJTU9W0aVOnhwUAACoZZkyBysn6d9lPMHWNqAqmBSW8kydP1uTJkyVJrVq1KlxPOnDgQFWvXr2EuwAAABwba0yByilUKS/cwfXBNDk5Wenpf/4AWc8iXb9+vX7//Xe9/PLLiomJUffu3QvXmvbp00d+v9+RcQMAgOjFrrxA5WTd/IijYtzD9cH0wIEDWrBgQeGZpfPmzVMgEJAk07pSwzCUl5enBQsWaOHChXr00UeVkJCgM844o3AtaufOnZ36MgAAQBSxnmOaH8xRXjBHXl+cQyMCUB6s1Q++OIKpW7g+mHq9XvXu3Vu9e/fWvffeqyNHjmjmzJmFQfXXX381nWNawDAMHTlyRD/88IN++OEHSVKdOnU0cODAwtLfJk2aOPI1AQAAd/PH25cGBbMPy5tUx4HRACgv1lJe1pi6h+uDqVW1atU0dOhQDR06VJK0d+/ewpA6bdo0bdmypfC11rLfPXv26KOPPtJHH30kSWrdurVpfWpKCp+YAAAAeymvdHRn3jiCKRDVrKW8rDF1j6gLplZ16tTRJZdcoksuuUSStG7dusKgOn36dKWlpRW+1noe6rp167R+/Xq99NJL8nq9ys3NjfTwAQCAC3n98Yrxxio/78/3BuzMC0Q/duV1r6gPplZt2rRRmzZtdP3118swDC1atKgwqM6ZM0c5OTm2kl9JysvLc2rIAADAhXzxKcrN3Ff4mGAKRD/bOaZsfuQaMU4PoCJ5PB717NlTd999t6ZNm6Y5c+bonHPOMc2aFg2pAAAABWw78xJMgahnX2NKMHWLSjdjWtSePXs0depUTZkyRdOmTdP27dsLnwu1YRIAAEAB6wZI1pkWANGHNabuVamC6ZEjRzRjxozC0t3ffvut8DlmSQEAQDis5xsGsg85NBIA5cU2YxpPMHWLqA6m+fn5mj9/fmEQnT9/fuEZp0WDqGQPowXP+3w+9ezZU6mpqZEZNAAAiArW8w0p5QWin33GlFJet4i6YLp69erC8tyZM2cqPf3PH65jzYoWfa5du3ZKTU1Vamqq+vfvr+RkPikBAABmthlTSnmBqGbk59mCKbvyuofrg+muXbtM55Tu2LGj8DlrEA21264kNWrUSIMGDVJqaqoGDRqkBg0aRGbwAAAgalmDaZAZUyCqBXMzbG2sMXUP1wfThg0bFgbOY5XnFn2uevXq6tevX+Gs6EknnRSZwQIAgEqDXXmBysW6vlSyfwAF57g+mBYwDMMWRAvCaGxsrHr37l0YRHv27KmYmEp9Eg4AAKhgPsuuvJTyAtEtmG0Ppr7YJAdGglCiJph6PB7TES9dunQpLM/t27evEhISHB4hAACoTOylvOzKC0Qz64dLvtgkeWK8Do0GVlERTA3DUPPmzQtnRAcNGqRatWo5PSwAAFCJUcoLVC6cYepurg+mr7zyigYNGqSWLVs6PRQAAFCFsCsvULkQTN3N9cH06quvdnoIAACgCvJZgykzpkBUs/4d9scTTN2EHYIAAABC8MeZNz/KD2YrP5jr0GgAHC/rrrzWcn04i2AKAAAQQqhjJCjnBaJX0Lr5EcHUVQimAAAAIYQMptlpkR8IgHJhnTH1UcrrKq5fY1oSwzC0fPlyLVmyRPv27dOBAweUnp6u5ORknXDCCapdu7a6d++uzp07m85BBQAAOJYYX7w8Xr+MvEBhG+tMgehl3fzIz+ZHrhK1wXTq1Kl64YUXNH36dGVkZJT4+qSkJA0aNEg333yzBgwYEIERAgCAaObxeOSPS1Hukf2FbQRTIHoFs9mV182irpR3yZIl6tKli4YMGaLJkycrPT1dhmGU+Cc9PV2TJk1SamqqunXrpqVLlzr9pQAAAJezHRlDMAWiViDnkOkxmx+5S1QF02eeeUannXaaVqxYURg4PR5Pqf8UXLNs2TL17t1bzz77rNNfEgAAcDF/vHlnXuvmKQCih22NKTOmrhI1pbxPPfWU7rzzzsLHRdeLGoZR4vUF4bRAbm6ubr/9duXn5+u2224r38ECAIBKwbprZyD7UDGvBOB21lLeUBucwTlREUy/+OIL3XXXXbbNiwzD0AknnKBhw4apZ8+eat++vWrWrKnExERlZmYqLS1NK1eu1MKFC/Xll19q//79hfcomEG966671Lp1aw0fPtyJLw0AALgYpbxA5WHd/IgZU3dxfTDNzc3V3/72t8KyXeloIK1fv74ee+wxXXzxxYqNjS32+r59++q6665TIBDQhx9+qH/84x/auXNn4Qxqfn6+brnlFg0dOvSY9wEAAFWPLZhSygtELWspL2tM3cX1a0xffPFFbdmyxbRGdODAgVq9erWuuOKKUodJv9+vyy+/XKtXr1Zqaqqp/Hfr1q166aWXKupLAAAAUcr6xjXIjCkQlYz8fAVzmTF1M9cH0w8++KDw3z0ej3r37q1vvvlGKSll+4QjOTlZX331lXr37l04C2sYht57773yGjIAAKgkfJTyApVCMDdDsuxL448nmLqJq4Ppvn37tHjx4sLw6PV69eabbx53yW1sbKzeeOMN+Xx/VjIvWbJE+/btO94hAwCASsS6Ky+lvEB0sq4vlZgxdRtXB9OFCxcWltx6PB4NGDBAJ554Yrnc+6STTtLAgQML728YhhYuXFgu9wYAAJWDvZSXXXmBaGRdXyqxxtRtXB1M9+zZY3o8ePDgcr1/amqq6fHu3bvL9f4AACC6sSsvUDlYzyD2xibKE+N1aDQIJSqCacGsZqNGjcr1/gX3K9jtd+/eveV6fwAAEN1sa0wp5QWikn1HXsp43cbVwdTrNX+KEQwGy/X+eXl5kv4Mvtb+AABA1WYt9WPGFIhOwWx25HU7VwfTOnXqSPpzRnPr1q3len/r/Qr6AwAAkOybH+UHs5UfzHVoNADKihlT93N1MK1fv77p8bfffluu9//uu+9Mj+vVq1eu9wcAANHNusZUopwXiEbBHPPGZT42PnIdVwfTU045pbC81jAMzZ07V4sXLy6Xey9dulSzZ88unI31er3q1atXudwbAABUDqHevAbYmReIOgFLKW+oD53gLFcH0+rVq6t3794yDEMej0f5+fm68sorlZ5u3+45HJmZmbryyiuVn58v6WipcK9evZSSwg8oAAD4k9efIE+Mz9TGOlMg+ljPMWWNqfu4OphK0uWXX256vGLFCg0ePFi7du0q0/12796twYMHa9myZfJ4PIUbH11xxRXHPVYAAFC5eDwe28yK9dgJAO7HGlP3c30wHTt2rNq2bStJhUFywYIFateunZ555hmlpaWV6j5paWl69tln1a5dO82fP7+w3ePxqG3btho7dmxFDB8AAEQ5duYFoh8zpu7nK/klzvJ6vXrxxRc1dOhQ5eXlFYbTQ4cO6Y477tA999yjAQMGqEePHmrXrp1q1KihxMREZWZmKi0tTatWrdKiRYs0ffp05eTkFM6QFtzH7/frxRdfVEyM6zM6AABwgM+yMy/BFIg+1koH6xnFcJ7rg6kkDRo0SK+88oquvPJKeTyewg2LDMNQdna2vvvuO9sOu1ZFA2nRx6+88ooGDhxYgaMHAADRzFrKG8hh8yMg2lg/UKKU132iZppwzJgxeuedd5SYmGgKmQUznyX9sQbapKQk/fe//9Xo0aMd/KoAAIDbWUt5g8yYAlHHvsaUGVO3iZpgKh3dCGnJkiVKTU0tDJzSnwH1WH8kFV5z5plnatmyZbrsssuc/HIAAEAUsJb8UcoLRB/bGtN4ZkzdJqqCqSS1bt1aP/zwg1asWKFrrrlGLVq0KNWMaYsWLXT99ddrxYoV+u6779SyZUunvxQAABAF7KW8BFMg2tg3P2LG1G2iYo1pKB06dNDLL78s6egRMEuWLNG+fft08OBBpaenKzk5WTVr1lSdOnXUrVs31a1b1+ERAwCAaMSuvEB0MwzD9oESa0zdJ2qDaVH16tXT0KFDnR4GAACohPyWXXmD2Wx+BESTvNxM6Y8lgAU4LsZ9oq6UFwAAIJJsa0wp5QWiSqi/s8yYug/BFAAA4Bgo5QWiWyA73dbGjKn7EEwBAACOwbb5EcEUiCpBy4yp119NMV6/Q6NBcQimAAAAx2ANptY3uQDczb4jL7OlbkQwBQAAOAZfnHnzo7xAlvLzAg6NBkC4ApZgyvpSdyKYAgAAHIN1xlSinBeIJrYZ03iCqRs5clyM1+t1ottj8ng8CgaDTg8DAAC4TMhgmnNIcYm1HBgNgHAFLEc8WTc0gzs4EkwNyzlCAAAAbuX1V5MnxisjP6+wLciMKRA1WGMaHRwJptLRGUq3ICgDAIDieDwe+eJSFMg6WNhGKS8QPWxrTENUQcB5jgVTwiAAAIgW/vjqBFMgSjFjGh0cCab333+/E90CAACUiXVNWiDnUDGvBOA21g+S2JXXnQimAAAAJbCdZcqMKRA17DOmlPK6EcfFAAAAlMBnCaaU8gLRg3NMowPBFAAAoAT2Ul6CKRAtrBUOrDF1J4IpAABACaylvMyYAtGDXXmjA8EUAACgBKwxBaIXa0yjA8EUAACgBP74GqbH7MoLRAfDMGyl96wxdSeCKQAAQAnY/AiITnmBI5KRb2rzxRNM3ciR42IKdOvWrfDfTzrpJL3//vsOjgYAACA02+ZHBFMgKljLeCU2P3IrR4PpsmXL5PF4ZBhG2NcuWbJEGRkZhY/79u1bnkMDAAAoZFtjyq68QFQI9SGS9YMmuIOjwfR4XHnllfrll18kSR6PR8Fg0OERIVrt3LlT8+fP18aNG5WZmamEhAQ1bdpUPXr0UIsWLZweHgDABdiVF4hO1vWlXn+CYrx+h0aDY4naYCqpTDOtQIHJkyfr8ccf15w5c4r9WTr55JP197//XZdffrk8Hk+ERwgAcAtfXHXT47zAEeXnBXiDC7icfUdeynjdKqo3PyIooCwyMjJ04YUXatiwYZo9e/YxP+BYvny5Ro0apQEDBmj37t0RHCUAwE1CnXtonYkB4D6BbIJptIjqYAqEKyMjQ6mpqfrss8/Cum7mzJk6/fTTtWvXrgoaGQDAzUIFU84yBdzPOmPK+lL3IpiiShk7dqzmz59vamvatKmee+45rVixQgcPHtTKlSv12muvqV27dqbXrV+/XiNGjGA9MwBUQV5/NXlivKY21pkC7mfdqIwZU/cimKLKmDx5sj755BNTW79+/fTLL7/olltuUceOHVWjRg21a9dOV111lZYuXaqRI0eaXj937ly9/PLLkRw2AMAFPB6PfNYjYyjlBVzP+gGSn2DqWgRTVAmGYejee+81tTVt2lSTJ09W9erVQ14TFxenDz74QN27dze1P/LIIzpy5EiFjRUA4E7+ePP/L5gxBdwvwOZHUYNgiiph0qRJWr58uantP//5j5KTj/3Lyev16rXXXjO17dq1y9YGAKj8rGvTgtmHHBoJgNKyrTENsV4c7kAwRZXw8ccfmx43b95cw4cPL9W1Xbt21emnn25qs5YEAwAqP9tZppTyAq5nX2NKMHUrgikqvUAgoG+++cbUFu65pKNHjzY9njt3rvbs2VMewwMARAmfNZhSygu4nrWUlzWm7kUwRaU3d+5cHTpkLrfq379/WPewvj4/P1/ffffdcY4MABBNrKW8BFPA/aylvL54gqlbEUxR6f3yyy+mx16vV6eeempY92jVqpXq1atnaluxYsVxjw0AED2spbzWEkEA7hPIZsY0WhBMUemtXr3a9Lhp06ZKTEwM+z7Wc02t9wUAVG62NabMmAKuxxrT6EEwRaW3atUq0+OmTZuW6T5NmjQxPSaYAkDV4rMdF8OuvIDbWTcpY1de9/I5PYAC69ev18CBA8N6fVHhXBuKx+PRtGnTjusecKcdO3aYHlsDZmlZA+327dvLPCYAQPSxrTGllBdwNcMw7GtMKeV1LdcE08zMTM2cOTOsawzDKPxnuNda7xPODq2ILhkZGabHKSll+6TMel1WVpby8/MVE3N8hQd79uzR3r17w7rG+sEMAKDi2daYUsoLuFpeIEtGfp6pjTWm7uWaYFoQMiN9PYG08rMG04SEhDLdJ9R1GRkZZQ66BSZMmKAHH3zwuO4BAKh4rDEFoot1tlRijambuSKYEg5RkTIzM02P4+Pjy3SfigqmAIDoYH1DSykv4G6h/o764pIcGAlKw/FgerwzpQAAAJHgt2x+lJebqfy8oGK8jr+dAhCCtdw+xhcnry/OodGgJI7+Jt24caOT3aOKSExMVFpaWuHj7OzsMt0nKyvL1paUdPyfut1www0aOXJkWNesX79e55133nH3DQAovVC7eQZzDiu22gkOjAZASQI51jNMqXJzM0eDabNmzZzsHlVEUlKSKZiGCpilUVHBtG7duqpbt+5x3wcAULFCvakNEEwB12JH3ujCOaao9Kzh8fDhsq0Jsl6XkJBw3DvyAgCihzc2UZ4Yr6mNDZAA9+IM0+jCu2pUeg0bNjQ93rp1a5nuY73Oel8AQOXm8XhsMy4cGQO4FzOm0YVgikrvpJNOMj3esmVLme5jva5du3ZlHhMAIDr548wbIDFjCrhXMJtgGk0Ipqj0rAFy69attiNkSmP16tWmx9bACwCo/GxnmeYccmgkAEpiK+UlmLoawRSVXufOnU2Pg8GgFixYENY9fv/9d+3atcvU1qlTp+MeGwAguviswZQZU8C1bLvyssbU1QimqPR69+6t6tXNpVczZswI6x4zZ840PY6JidFZZ511vEMDAEQZ6868rDEF3Mv699PHcTGuRjBFpef3+/WXv/zF1Pbuu+/KMIxS3+Odd94xPe7duzdHvABAFWQv5SWYAm5lnTFljam7EUxRJfz1r381Pd64caMmT55cqmuXL1+un376ydQ2cuTIchsbACB62IIpM6aAa1l35WWNqbsRTFElDB8+3LbWdNy4ccrIyDjmdXl5ebrqqqtMbfXr19fVV19d7mMEALifz7YrL5sfAW7FcTHRhWCKKsHj8ejhhx82tW3evFnDhg3T4cOhP+3Ozc3VpZdeqkWLFpna//nPf6patWoVNlYAgHtZZ0yDlPICrmXb/Ig1pq5GMEWVce655+qCCy4wtU2fPl2dO3fW+PHjtXLlSqWlpWnNmjV688031bVrV3300Uem1/fu3VvXXXddJIcNAHARSnmB6GGtaPDFM2PqZj6nBwBE0ltvvaWtW7eajovZvHmzxo0bV+K1rVq10meffSafj782AFBVWWdcCKaAOxmGEWKNKTOmbsaMKaqU5ORkTZ06Veeff35Y151xxhmaPXu2GjRoUEEjAwBEA9s5ppTyAq6UH8yWkR80tTFj6m4EU1Q5ycnJmjhxoiZNmqTTTjvtmK/t3Lmz3n77bc2cOVP16tWL0AgBAG7ljzdvfsQ5poA7WdeXSsyYuh01iaiyhg0bpmHDhmnHjh2aN2+eNm3apMzMTCUkJKhJkybq2bOnWrZs6fQwAQAuYn1jG8zNkJGfJ0+M16ERAQgl1MZk7MrrbgRTVHkNGzbUiBEjnB4GACAKWDc/ko6W88Ym1HRgNACKE8g2z5jGeGPl9cU5NBqUBqW8AAAApWRdYyqxARLgRtYZU2ZL3Y9gCgAAUEq+2CTJY377xDpTwH2sM6ahqh3gLgRTAACAUvJ4PPYjY9iZF3Ad+4wpwdTtCKYAAABhsM68UMoLuI91V14/pbyuRzAFAAAIg3XmJZCd5sxAABQraAmmrDF1P4IpAABAGJgxBdyPGdPoQzAFAAAIgzWYsvkR4D7Wv5e+eIKp2xFMAQAAwsDmR4D7Wf9e+uOqOzQSlBbBFAAAIAzWs0wp5QXchzWm0YdgCgAAEAZ/vHnmJZB9yKGRACiObY0ppbyuRzAFAAAIg7WU13peIgDnBbOZMY02BFMAAIAwsCsv4H7WD4ysxzzBfQimAAAAYWCNKeB+HBcTfQimAAAAYbDNmFLKC7iKYRi2v5eU8rofwRQAACAM1mMnOMcUcJf8YI6MvICpzfqBEtyHYAoAABAG6xvcYG6GjPw8h0YDwMp6VIxk37QM7kMwBQAACIN1jalEOS/gJqH+PlLK634EUwAAgDCEmnlhAyTAPawzph6vXzG+OIdGg9IimAIAAITBF5skeTymNtaZAu4Rakdej+XvLNzH5/QAAAAAooknJkb+uBQFsg8VtlHKW/Xk5wW06sd/a9Pid5SXe6TC+0us2Vydhv5bdVsPrPC+op21goEzTKMDwRQAACBMPmswZca0Ssk5sl8LPxqtvRtmRqzPw3tWavZ/R6jjkIfU+rSbmAE8hqDlgyI2PooOlPICAACEyXaWaZGQisrt0K5fNePlARENpYWMfP363T+1+LNrlBfIinz/UcK6xtQXz8ZH0YBgCgAAECbbkTGU8lYJ23/9QjNfTdWRg5scHcfW5R/pp9fP0pFD2xwdh1sFsu1rTOF+lPICAACEybpmjVLeys3Iz9eqHx/RmplP2p6LT26gLsOeU1xSnQrrf/faKVo9/VFTW9qOpZrxUj+desl7qtWsV4X1HY1sM6YE06hAMAUAAAiTvZSXYFpZBbIPa9Fn12jX6m9sz9Vs0lO9LnlP8cn1K3QMJzTuoRoNTtaiz642ha6czL2a9dbZOvmcp9Wix+gKHUM0sW5GxhrT6EApLwAAQJhswZRS3kopY/96zXx1UMhQ2qzb5Tpj7DcVHkoLNGj3F/W7ZpoST2hpajfyAlo2aZyWTf678vMCERmL21mPb2LGNDoQTAEAAMLkj6tuehxk86NKZ/e6qZrx8kCl711javfEeNX57CfV9bwX5PXFRXRMKXVPUv/rpqtu60G25zYueF0/vz1MORl7IzomN7KdYxrPjGk0IJgCAACEyUcpb6VlGIbW/vwfzXn3QgWy00zPxVY7QX1GfaFWva517LiW2ISaOu3yT9Xm9Ftsz+3fNFvTX+6vtB3LHRiZe7DGNDoRTAEAAMJEKW/llBfI0qJPr9Jv398rGfmm51LqdVT/62aoTst+Do3uT54YrzoOeUg9LnxNMb5403NZh7bqp9fP1LYVnzk0OufZZkwJplGBYAoAABAm62YqzJhGvyOHtumn14do2y+f2J5r2OE89btmihJrNo/8wI6hyckXqe9V3yshpZGpPS+QpYUfj9FvPzwgIz/PodE5x3p8k3UXbbgTwRQAACBMtnNMCaZRbd/muZrxUj+l7VhmfsLjUftB9+qUi96RLzbRkbGVpGajrup//Uyd0NR+ZMzaWc9o7nsXKVDF1kDb15gyYxoNCKYAAABh8sWbNz+ilDd6bVz4ln5+6xzlZJo3DfLFJavX/32oE/vf4dh60tKKT6qrM8Z8peY9x9qe2732B814eYDS9651YGTOYI1pdCKYAgAAhMlayhvMSa+SJZPRLD+Yq2Vf3qplX94iw3LMSmKtVup3zY9qcNJQh0YXvhhfrLoOe05dzn1Wnhif6bmM/es145WB2rXmO4dGFzl5wRzlB3NMbezKGx0IpgAAAGEK9UbXWj4I98rJ2Kuf3x6mjQvfsD1Xr02q+l87XSl1T3RgZMevxSlX6vQxkxWbWNvUHsw5rLnvXaQ1M5+WYRgOja7iWWdLJdaYRguCKQAAQJhCBVPrhitwp7QdyzT95X7av3mO7bk2p/9NvS/7RLEJNSI/sHJUu3kfDbhupmo07GJ+wjC0cuqDWvjxGAVzMx0ZW0ULVVbPrrzRgWAKAAAQJl9ssmRZd8jOvO639ZdP9NPrQ5R1aJupPcYXrx4j31DHIf+SJ8br0OjKV7UaTXTGld+pcacLbc9t/3WifnptiI6kbXFgZBUrmG2eMfXE+GxH6sCdCKYAAABh8sTEHA2nRRBM3cvIz9Ov39+nRZ9cqbxAlum5hOqN1feq79Wk80iHRldxfLHV1GPkG+pw5r9sH6Qc2vWLpr/UT/s2/uzQ6CpGqI2P3L55FY4imAIAAJSBtZw3kFO1juSIFrlZaZr7v5Fa9/NztudqNTtNA66bqZqNukZ+YBHi8XjU9oyjJcp+y27SuUf26+e3h2nD/NcqzbpT21ExrC+NGgRTAACAMrDtzMuMqesc3rNGM14ZoN3rptqea9HzSp0++kvFJdVxYGSRV7/tmep37Y9Kqt3W1G7kB7X8q9u0dNI45Vl2s41G1jNbOSomevhKfgkAAACsfNYZU4JpqRiGoV1rvtOBLfNlGPkV109+UJsWv2Mr7fTE+HTyOU+pRYgzPyu75Npt1P/aaVr06dW2o2M2L35Hh3f/ptrNT6/QMfhiq6nxyX9V0gktK+T+1u83R8VED4IpAABAGdhKeQmmJcoLZGvZ5Fu1Zel7jvQfm1hbp178P9Vufpoj/buBP766ev3fh1r148NaM/Mp03MHty3SwW2LKnwMa3/+j7qPeEWNOgwr93tbS3mZMY0elPICAACUgbWUN9QxFfhT1uGdmvXmXxwLpTUadtGA62ZW6VBawPP/27vv+CrKvP//75OeQOiQ0EJJghQlgqGISOJNE3EJoCy7YAOVIj+RBevKCi4IurcFFlFwV2FVvgiKINxU9QsBBUF6USDECAmdICGB9MzvD7/mds45CeeclEl5PR8PHg/nmrmu6wNxTvLOzFzj5aX2fV5S1+H/kbdvULnPn59zTbs+eUA/fv2KjILSvWrucMWUYFppEEwBAAA8YL+QDM+YFu1y8i5tWRBTLlfjnGnWcZjufHSDguo0t2T+iqrpzUMU8/iXCqoTZsn8R7e8pp1LRzpc5SwJ+/cJ299yj4qLW3kBAAA84PiMKavyOnNy78fav3qSCvJzTO3efjXUpN29kq3srpN4efmoYeteatbxj7wypAi1G9+iu8ZvVeKOd3WtjN9rmp1+ThcSN5vazh5dq/iFvdV95FLVrB9e4jlys7hiWlkRTAEAADzArbzFK8jP1eENLyrxuwUO+2rUbanuIz9RrZD2FlQGe35B9dSu94tlPo9hGPpp50IdWv+CjIL8wvb0i0e1ZcFd6jJ8kUIiepdoDvvzkGdMKw9u5QUAAPAAix8VLftaqr79zxCnobRh+F2KHbeFUFoN2Ww2hXcfpzseXiXfwLqmfblZV7T9w/uU8O28Er1TlVV5Ky+CKQAAgAfsf+DlGdNfpZ07rC0LYnUpaavDvvAeE9TjwRXyC6pnQWWoKBq2jtFd4+NVK+Rm8w6jQIc3vKg9K8YoPzfTo7HtgylXTCsPgikAAIAHHJ4x5VZenT68SvHv9dH1KydN7V4+/rpt6AJ1HDBbXt48SYZfb+eOeXyTmrSPc9iXfGCZtr5/tzLTTrs9rv2dC/a33KPiIpgCAAB4wDegjmm7Ot/KaxQU6IevZmjXsoeUn3vdtC8guLHufHS9wjqNsKg6VFQ+/jXV9U8fql3vqQ77rpzep80LYpR68ju3xuSKaeVFMAUAAPCA/ZWYvJz0Un8nY2WQm3VV3y0doWPx/+2wr27zLrprfLzqNYu2oDJUBjabTW1jn1X3EZ84hMjsjAvatmigknYvdnk8+1fPsCpv5UEwBQAA8IDDoiqGobyc0nsfY2WQkXpC8e/11rmj6xz2tbjtId05ep0CgkMtqAyVTeN29yhmzNeqUa+1qd3Iz9X+LyZq/5rJKsjPLXaMgrwcFeRlmdp8uJW30iCYAgAAeMDZap/V6Xbe8wlfacuC/1L6xWOmdpuXtzoO/G91ipsnbx9/i6pDZVSrUVvFjtusRk5eGZO069/6ZvEgZWdcLLK//dVSiVV5KxOCKQAAgAd8/IIlm83UVh2CqWEYOv7NXG3/6H7lZl0x7fMLqqc7Hv5C4d3Hymb3bwO4wi+wrno8+Jkiez7lsC/152+1eUGsrpw54LRvnpMFyHjGtPIgmAIAAHjA5uX1azj9naq+Mm9+bqZ2f/aYjmz8m2SYn6etFXKzYsfFq2HrXhZVh6rC5uWtm/vPUPT9/5KXT4BpX2Zasrb+u59SDq1w6Gd/xdTm5S1v38AyrRWlh2AKAADgIcd3maZZVEnZu56Woq3/7q+Ug5867GvaYYhixnypGnVbWFAZqqrmUcPV67GNCqzV1NSen5up75eP0pFN02UU5Be2O1uRlyv3lQfBFAAAwEP2K/NW1Vt5L53coS3vxujKmf3mHTab2vd5SV2GL5aPXw1LakPVVrdpJ8WOj1f9Frc77Du+7U3tWDJcuf/vF0L2dyzwDtPKhWAKAADgIR+7K6ZV8VbepO8/0DeL7lX2NfOiMz7+weo+8hPdFPM0V6VQpgJqNlLPR9aoZZfRDvvOH9+kLQvuUvrF48rL4h2mlZmP1QUAAABUVva38lalK6YFeTk6uO45JX3/vsO+GvXD1X3EJ6rV6CYLKkN15OXjp06D5qhO6C06sPYZGQV5hfsyUk9oy8L/UqOI/zL1YUXeyoVgCgAA4CH7WwXzqkgwzc64qJ2fPKjUk9sd9oVE9lH0sA/kF1in/AtDtdeq66MKbtRWOz95UDnXLhW252Vf1Zkjq0zHcsW0ciGYAgAAeMg3oLZpOze7bBc/ysu5rpzrqWU6x/Urydr92WPKTEtx2BfZc5I69J0mm5d3mdYAFKdByzt017h47Vw60vG559/xJZhWKgRTAAAADzk8Y1pGV0yNggId3/amjm5+VQX5OWUyR3G8fALUech8Ne84rNznBpwJqtNcdz66QftW/X9KOfSZ02N8WPyoUiGYAgAAeKg8VuXNy87Qns/H68wPX5T62K4IrN1M3f68RHWbdrJkfqAoPn5Bih72vmo37qgjX06TDMO8nyumlQrBFAAAwEMO7zEt5VV5r11O0nf/Z4Sunj9SquO6qn6LHur2p4/kX7OhJfMDN2Kz2dTmzkmqFdJeuz99tPDVMZJUK6SdhZXBXbwuBgAAwENluSrvhcQt2rwg1pJQavP2VfjtT6jnI6sJpagUQtv0U8zY/6sGre6Ul7efmnYYoqYdhlhdFtzAFVMAAAAPlcUzpoZhKPG7d3V4w4syCvJN+3wD6ih62L9Vv8XtJZ6nON4+AfLy9i3TOYDSFtwgUneOXiujoEA2L66/VTYEUwAAAA/5+ptX5S3prbz5uVnav+YvOrVvicO+4IZt1X3kUtWsH16iOYCqjlBaORFMAQAAPORwK2/2VY+v1mRePaudS0fql5TdDvsatx2o2+5/j9dfAKiyCKYAAAAesg+mMgzl5WQ4tt/A5eRd2rn0AWWln3PY1zb2ObW96wWuAgGo0gimAAAAHnL2nsTc7KtuBdOTez/W/tWTHN5P6u1XQ7cNXaimHQaVuE4AqOgIpgAAAB5ydmttXtZVqbaTg+0U5Ofq8IYXlfjdAod9QXVbqvuIpaod2qE0ygSACo9gCgAA4CGbl7d8/IOVl51e2ObKyrzZ11K1a9nDupS01WFfw9ax6jJ8kfyD6pdqrQBQkRFMAQAASsDXv5Y5mGanFXt82rnD+m7Jn3X9ykmHfeE9JujmfjPk5c2PaACqFz71AAAASsAnoJZ09XThdnFXTE8fXqU9n49Tfu51U7uXj79uHTRHLTqNLLM6AaAiI5gCAACUgP1CR3lOgqlRUKAf/+8rOhb/3w77AoIbq9uIJarXLLrMagSAio5gCgAAUAK+divz2l8xzc26qt0rxujc0XUOfes276Luf16igODQMq0RACo6gikAAEAJ2F8xzc3+32CakXpC3y35s9IvHnPo16Lzg4r6w5vy9vEv8xoBoKIjmAIAAJSAT4D53TC5Wb8ufnQ+4St9v3y0crOumPbbvLx1y4BX1brbGNlstvIqEwAqNIIpAABACdjfypuXdVXHv5mrI5umSUaBaZ9fUD11Hf6hGrbuVZ4lAkCFRzAFAAAoAftbeU8fWaXkg8sdjqsVcrO6j/w/qlG3ZTlVBgCVB8EUAACgBOyDaUF+jsMxTTsMUeeh78jHr0Z5lQUAlQrBFAAAoAR87G7lNbHZ1L7339Sm1xSeJwWAYhBMAQAASsDXbvGj3/j4Byv6/n+rcdsB5VwRAFQ+BFMAAIASCKjZyKGtRv1wdR/xiWo1usmCigCg8vGyugAAAIDKrE6TTqodekvhdkhkH8WO3UwoBQA3cMUUAACgBGxeXrrz0fU6e3St/ILqKySij2xe/O4fANxBMAUAACgh34BaCrv1z1aXAQCVFr/OAwAAAABYimAKAAAAALAUwRQAAAAAYCmCKQAAAADAUgRTAAAAAIClCKYAAAAAAEsRTAEAAAAAliKYAgAAAAAsRTAFAAAAAFiKYAoAAAAAsBTBFAAAAABgKYIpAAAAAMBSBFMAAAAAgKUIpgAAAAAASxFMAQAAAACWIpgCAAAAACxFMAUAAAAAWIpgCgAAAACwlI/VBQBwX3Z2tmn7xIkTFlUCAACAqsL+Z0r7nznLEsEUqISSk5NN24MHD7amEAAAAFRZycnJ6ty5c7nMxa28AAAAAABLEUwBAAAAAJayGYZhWF0EAPdcuXJF8fHxhdvNmzeXv79/ucx94sQJ063Dq1atUkRERLnMDaD8cK4D1QfnO36TnZ1temQsJiZGderUKZe5ecYUqITq1KmjuLg4q8uQJEVERKhDhw5WlwGgjHGuA9UH53v1Vl7PlNrjVl4AAAAAgKUIpgAAAAAASxFMAQAAAACWIpgCAAAAACxFMAUAAAAAWIpgCgAAAACwFMEUAAAAAGApgikAAAAAwFIEUwAAAACApQimAAAAAABLEUwBAAAAAJbysboAAJVLw4YNNW3aNNM2gKqHcx2oPjjfURHYDMMwrC4CAAAAAFB9cSsvAAAAAMBSBFMAAAAAgKUIpgAAAAAASxFMAQAAAACWIpgCAAAAACxFMAUAAAAAWIpgCgAAAACwFMEUAAAAAGApgikAAAAAwFIEUwAAAACApQimAAAAAABLEUwBAAAAAJYimAIAAAAALOVjdQEAKoezZ89q586dSkpK0rVr1xQYGKiwsDBFR0erVatWVpcHoAK4fPmyduzYocTERKWnp8vf319NmjRRp06d1K5dO6vLA6qclJQUHT58WKdOndIvv/wiSapbt65CQkLUpUsXNWnSpEzmzcjI0I4dO3T8+HFduXJFvr6+CgkJUceOHXXrrbfKZrOVybyo2gimAIq1Zs0avfbaa9q+fbsMw3B6TFRUlCZPnqwHH3yQb0aAhVJTU7V79259//332rVrl77//nudO3fOdMy0adM0ffr0Up33m2++0SuvvKIvv/xS+fn5To+JiIjQk08+qfHjx8vX17dU5weqi/Pnz2v16tX6+uuvtXnzZl24cKHY41u3bq1HH31UY8aMUYMGDUo8/6FDhzRz5kytWrVKOTk5To9p0qSJxo4dqylTpqhGjRolnhPVh80o6idNANVaRkaGHnnkEa1YscLlPjExMVq2bJlCQkLKsDIAv/fmm28WBtGffvrphseXZjDNzc3VX/7yF82fP9/lPrfccotWrFihyMjIUqkBqA52796tZ599VvHx8SooKHC7f3BwsObMmaPRo0d7NL9hGHrllVf08ssvKy8vz6U+YWFh+vTTT9W1a1eP5kT1QzAF4CAjI0N9+vTRzp073e4bERGhbdu2KTQ0tAwqA2DP3bsUSiuY5uXl6f7779cXX3zhdt+GDRsqPj6e23sBFy1YsEDjx48v8Tjjxo3Tu+++63a/CRMm6J133nG7X2BgoDZs2KBevXq53RfVD4sfAXAwevRoh1AaFhamOXPm6NChQ/rll1/0ww8/6F//+pfDD5YnTpzQ0KFDXf6NKoDK6YUXXnAIpQ0aNNDLL7+s/fv36/Lly0pISNDSpUsdrphcvHhRf/jDH3T16tXyLBmoUiIiIjR+/HgtW7ZMBw8e1Llz53TlyhUdPXpUH3zwgbp37+7QZ8GCBZo2bZpb88yfP98hlNasWVNTpkzRrl27dOnSJSUlJWn16tXq27ev6bjMzEwNGTJEycnJ7v8FUf0YAPA7q1evNiSZ/sTExBhXrlxxenxWVpYxbNgwhz7z5s0r58qB6sn+3KtZs6YRExNjPP3008ayZcsc9k+bNq3Ec+7fv9+w2WymcTt06GCkpKQ4Pb6goMCYNGmSQy1TpkwpcS1AdfDuu+8akgwfHx/jgQceMLZs2eJSv4ULFxq+vr6m887Hx8c4fPiwS/3PnTtnBAUFmfo3bdq02P6vv/66w+fDfffd59J8qN64lRdAIcMw1KlTJx04cKCwLSwsTIcPH1ZwcHCR/fLz89WtWzft2bOnsC00NFSJiYkKCgoq05qB6q5bt27q0qVL4Z+2bdvKy+t/b4iyv9W3NG7lHTRokNasWVO4HRwcrCNHjqh58+bF9hs8eLDpKmtgYKBOnDhRZiuHAlXFe++9py1btujvf/+7IiIi3Oq7aNEih2dL//jHP2rZsmU37Dtx4kTNmzevcNvb21s7d+7UbbfdVmy/SZMmae7cuYXbNptNu3fvVufOnd2qHdULwRRAoVWrVmnIkCGmtpUrV2rw4ME37Ltv3z6Hbzhz5szRU089VZolAnBTaQfT/fv3q1OnTqa2t956S5MmTbph37Nnzyo8PFyZmZmFbZMmTdJbb73lcT1AdZCfny9vb2+P+8fGxio+Pr5wOzg4WJcuXZKfn1+Rfc6fP6+wsDDT6rtPPfWU5syZc8P5rl27pjZt2ujMmTOFbYMHD9bKlSs9+wugWuAZUwCFli9fbtpu2bKl4uLiXOrbqVMn9ezZ09T26aefllptACoG+8+JGjVq6NFHH3Wpb+PGjXXfffeZ2j777LNSqw2oqkoSSiXp4YcfNm2np6fr4MGDxfb54osvTKHUZrNp4sSJLs1Xo0YNh6u069evV0ZGhosVozoimAKQ9OtrH9atW2dqc/e9pI888ohpe8eOHTd8xxqAysV+waOhQ4cWe6u/PfvPiZSUFNNjAABKX1RUlEPb2bNni+1jf6737NlTrVu3dnlO+3M9OztbGzdudLk/qh+CKQBJv4bItLQ0U1tsbKxbY9gfX1BQoA0bNpSwMgAVxalTp/TDDz+Y2tz9nOjRo4d8fX1NbWvXri1paQCKERgY6NB27dq1Io/PycnR119/bWpz91wPDw9Xs2bNTG2c6ygOwRSAJDnc0uPt7a1u3bq5NUZ4eLhCQkJMbYcOHSpxbQAqBme3/t1xxx1ujREYGOjwPDqfE0DZOnXqlENbo0aNijz++PHjys7ONrW5e64768O5juIQTAFIko4ePWraDgsLU40aNdwex/69pvbjAqi87M9nHx8fRUZGuj0OnxNA+fr9wke/CQ8PL/J4Z+ek/XnrCvs+x44dc3sMVB8EUwCSpB9//NG0HRYW5tE49q+L4AdOoOqw/5xo2rSp6dU0rrL/nEhISFB+fn6JagPgXH5+vj7++GNTW7t27dSiRYsi+9if697e3mratKnbc9uf6+np6Tp9+rTb46B6IJgCkCTTku6S4zcTV9kHWr4BAVVHWX1OZGdnKzU11eO6ABTt3//+t5KTk01tw4cPL7aP/bneuHFjj1YGdvZLbn4uQFEIpgAkyWEJ91q1ank0jn2/zMxMFRQUeFwXgIqjrD4nnI0NoORSUlL03HPPmdrq1q2rJ598sth+nOuwAsEUgCTHbxTOVvBzhbN+fBMCqgY+J4DKIy8vTyNGjHBYcX/WrFmqV69esX0512EFgikASY7LxgcEBHg0Dt+EgKqLzwmg8pg0aZK2bdtmauvfv7/Gjh17w76c67ACwRQAAACoQubNm6f58+eb2po1a6aPPvpINpvNoqqA4hFMAUiSw6thsrKyPBonMzPToa1mzZoejQWgYuFzAqj4PvnkE02aNMnUVrt2ba1du1YNGzZ0aQzOdViBYApAkuM3CmffTFzBNyGg6uJzAqjYNmzYoIceesi06GBgYKDWrFmjjh07ujwO5zqsQDAFIMnxG8XVq1c9Gse+X2BgoEfvOQRQ8ZTV54SzsQG455tvvtF9992n3NzcwjZfX199+umnuvPOO90ai3MdVuCnRQCSpCZNmpi27d955ir7fvbjAqi8yupzwt/fX/Xr1/e4LqC627NnjwYOHKjr168Xtnl5eenDDz/UwIED3R7P/lw/e/as8vPz3R7H2WcEPxegKARTAJKktm3bmrZPnTrl0Tj2/dq1a+dxTQAqFvvPidOnT3v0nmL7z4nIyEh5e3uXqDagujpy5Ij69+/vcHVywYIF+tOf/uTRmPbnen5+vk6fPu32OPbnenBwsJo1a+ZRTaj6CKYAJDkGyOTkZIfl4l1x9OhR07b9NzcAlZf950ReXp4SEhLcHofPCaB0nDhxQn379lVqaqqp/Y033tDjjz/u8bjOfqn8448/uj2O/bl+0003eVwTqj6CKQBJclgUIS8vT7t27XJrjMTERJ07d87Udsstt5S4NgAVg7PFU7Zv3+7WGJmZmdq7d6+pjc8JwH3Jycnq06ePzp49a2qfPn26Jk+eXKKx27RpI39/f1Obu+e6JH377bembc51FIdgCkCSdPvtt6t27dqmti1btrg1Rnx8vGnby8tLd999d0lLA1BBhIWFqX379qY2dz8nduzYoZycHFObJ8/AAdXZ+fPn1bt3b508edLUPmXKFE2bNq3E4/v5+al3796mNnfP9Z9++snhGVPOdRSHYApA0q8r991zzz2mto8++kiGYbg8xn/+8x/T9u23365GjRqVSn0AKoa4uDjT9ueff66MjAyX+9t/TjRr1ky33XZbqdQGVAeXL19W3759HW6jHzt2rF5//fVSm8f+XN+2bZt++uknl/vbn+v+/v7q379/qdSGqolgCqDQH//4R9N2UlKS1qxZ41LfAwcOaOvWraa2YcOGlVptACoG+/M6IyNDH3zwgUt9z507p08//dTUdv/995dabUBVl5GRoQEDBujQoUOm9gceeEDvvvtuqc4VFxcnPz+/wm3DMPT222+71Pf69et6//33TW0DBgzgVTEoFsEUQKG4uDiHZ8gmTpx4w6sh+fn5euyxx0xtoaGhJVp4AUDF1KlTJ917772mtpdeesmlFTufeOIJZWZmFm4HBATomWeeKfUagaooKytLf/jDHxzWfxg6dKgWL14sm81WqvOFhIRozJgxprZ58+Zp3759N+w7depU02eCzWbT3/72t1KtD1UPwRRAIZvNppkzZ5raTp48qUGDBhX5cu2cnByNHDlSu3fvNrW/+OKLCgoKKrNaAVhn5syZph+C09LSNGDAAJ05c8bp8YZhaMqUKVq5cqWpfcKECbzTEHBBXl6ehg0b5vCc54ABA7R06dIye92S/ffyvLw8xcXF6Ycffiiyz1tvvaU5c+aY2oYOHarOnTuXSY2oOmyGOw+QAagW7r//fq1YscLU1qJFC02ZMkW9e/dWkyZNdP78eX377bd64403HL5B3X777dq6dat8fHzKs2ygWtqzZ4/D7bG/99prr5m277jjDvXs2dPpsXXr1tVzzz3n0rxPP/203njjDVNbw4YNNXHiRA0aNEjNmzfX5cuXtWfPHr355pvauXOn6djw8HDt3btXtWrVcmk+oDp78cUXNWvWLFObj4+PnnjiCQUGBno05m233ebSIzdvv/22nnzySVNbcHCwxo0bp+HDh6tVq1bKyMjQwYMHNW/ePG3atMl0bL169bRv3z6FhYV5VCeqD4IpAAfp6enq06eP26+LkX79YXPbtm1q3LhxGVQGwN7ixYs1atSoUhmrRYsW+vnnn106Ni8vT0OHDnX5OfTfa9CggeLj4x1W+AXg3COPPOKwmFBJPfzww1q8eLFLxz7xxBMePcMaGBio9evXKyYmxu2+qH64lReAg+DgYH311VcaMmSIW/3uvPNOffvtt4RSoBrw8fHRihUrNH78eLf6dejQQdu3byeUApXI/Pnz9fLLL7t1y3Dz5s21efNmQilcRjAF4FRwcLA+//xzffHFF+rRo0exx3bs2FGLFy9WfHy8QkJCyqlCAFbz9fXVO++8o61bt6p///7y8ir6x4rWrVtrzpw52rdvnyIjI8uxSgAlZbPZ9NJLL2nv3r0aNmyYabVee40bN9b06dP1ww8/qFu3buVYJSo7buUF4JIzZ87ou+++088//6xr164pMDBQzZs3V5cuXdS6dWurywNQAaSmpmrHjh1KTExUenq6/Pz81KRJE3Xu3JkrpEAVkp6eru3btyshIUFpaWny9vZWSEiIoqKi1KlTp1JfIRjVA8EUAAAAAGApbuUFAAAAAFiKYAoAAAAAsBTBFAAAAABgKYIpAAAAAMBSBFMAAAAAgKUIpgAAAAAASxFMAQAAAACWIpgCAAAAACxFMAUAAAAAWIpgCgAAAACwFMEUAAAAAGApgikAAAAAwFIEUwAAAACApQimAAAAAABLEUwBAAAAAJYimAIAAAAALEUwBQAAAABYimAKAAAAALAUwRQAAAAAYCmCKQAAAADAUgRTAAAAAIClCKYAAAAAAEsRTAEAAAAAliKYAgAAAAAsRTAFAAAAAFiKYAoAQDn6+eefZbPZTH8WL15sdVnw0Jdffmn6Wg4fPvyGfR555BFTn5YtW5Z9oVXA/PnzTf9uU6dOtbokAKWIYAoAAOCBnJwcPfnkk4Xbfn5+mj17toUVVW1jxoxRRERE4fbrr7+uxMRECysCUJoIpgCAasPZ1cry+hMbG2v1Xx+l7M0339SxY8cKt8ePH6/WrVtbWFHV5uvrq1deeaVwOzs7W5MmTbKuIAClimAKAADgptTUVM2aNatw29/fX88//7yFFVUPw4YNU7t27Qq3/+d//kfx8fEWVgSgtBBMAQAA3DR79mylp6cXbo8aNUqhoaEWVlQ92Gw2Pffcc6a2v/71rxZVA6A0+VhdAAAA5cXPz09RUVFu9cnIyHB4jq1GjRqmZ91c4e7xqLjOnDmj+fPnF257eXnp2WeftbCi6mXEiBGaOnWqUlJSJEnbt2/XunXrdM8991hcGYCSIJgCAKqNJk2aaP/+/W712bJli+666y5TW3R0tLZs2eJRDS1btpRhGB71RcUwd+5cZWVlFW4PGDBArVq1srCi6sXX11ePPfaYpk+fXtj22muvEUyBSo5beQEAAFyUkZGh9957z9Q2duxYi6qpvkaPHi1vb+/C7a1bt2rPnj0WVgSgpAimAAAALvrPf/6jK1euFG6HhoZypc4CzZs3V9++fU1tc+fOtagaAKWBYAoAAOCiDz74wLQ9dOhQ05U7lJ9hw4aZtlesWGFakApA5cIzpgAAVCHXr1/Xzp07dezYMf3yyy/y8fFRaGiounbtqptuusnlcVJTU7Vr1y6dOHFC6enpqlWrlho3bqyYmBg1aNCgTGo/f/689u7dq4sXL+rChQsqKChQw4YNFRISou7du6tevXplMq+rjhw5or1795ra7r///jKbLy0tTd99950SEhKUlpammjVrqmHDhurcubPatm1bZvP+JiEhQQcOHFBKSooyMjLk5+en0NBQPfTQQzfse/nyZR08eFCJiYm6evWqrl27Jj8/PwUFBalRo0Zq2bKl2rRpozp16nhc3+DBgzV27Fjl5eVJ+vX//c8++0yjRo3yeEwAFjIAAECRNm/ebEgy/YmJifF4vKSkJIfxFi1adMN+ixYtcuiXlJRUuP/o0aPGAw88YAQEBDgc99ufzp07G2vXri12nq1btxp333234e3t7XQMb29vo3///sbhw4c9/jf4vcuXLxvTp083OnXqZNhstiJr9/LyMqKjo40FCxYYOTk5pTK3u6ZOnWqqqVatWkZeXp7b4zz88MOmcVq0aGHav2/fPuO+++4zfH19i/z3aNGihTFv3jyP/i3sx5o2bVrhvoyMDGP27NlG69ati5y7KJmZmcY///lPo0uXLkX2/f0fm81mtG3b1hgzZoyxadMmIzc31+2/S69evUxj9unTx+0xAFQM3MoLAEAl98477ygqKkoff/yxabVYe3v37tXAgQM1adIkh5WBc3Jy9MQTT6hXr17asGGD8vPznY6Rn5+vjRs36tZbb9VHH33kcc35+fl69dVX1bp1a02fPl379u0rdrXigoIC7d69W+PGjdNNN92k+Ph4j+f21Nq1a03bPXv2LNXbeA3D0N/+9jdFR0drxYoVys3NLfLYkydP6sknn1S3bt104cKFUpl/586dat++vV544QX99NNPbvXdsmWL2rdvr4kTJ+r77793qY9hGDp69Kjee+899evXT1999ZXbNduvmL1161ZlZGS4PQ4A6xFMAQCoxGbNmqUJEyYoOzvb5T5z587Viy++WLidk5OjwYMH691333V5jLy8PD3yyCP64osv3KpXktLT0zVo0CC98MILpoWEXJWUlKS+ffs6PO9Zls6dO+fwqqHY2NhSG7+goEAPPvigZs6cWeQvBZzZt2+fevXqVeIwtnXrVsXGxurUqVNu9123bp3uvvtuJSUllagGT9gH05ycHH399dflXgeAkuMZUwAAKqlVq1aZAmZISIjuvfdede7cWQ0aNFB6eroOHDig5cuX6/z586a+r776qgYPHqyuXbtqwoQJWr9+feG+tm3b6t5771VkZKTq1Kmjy5cv65tvvtFnn31mCsAFBQUaP368YmNjVbt2bZdqvn79umJjYx2e1ZSk8PBw3XXXXerYsaPq1asnHx8fXbp0Sd9//73WrVunixcvFh6bm5urxx57TCEhIRo4cKDL/2ae2rp1q8MV3ejo6FIb/8UXX9SSJUsKt5s3b66BAwfqlltuUYMGDZSRkaEff/xRK1ascAiAx44d0/PPP6+3337bo7nPnTunoUOHmq62d+3aVf369VOLFi0UHByss2fP6ocfftCnn35q6nvp0iU9/PDDDr8Y8fHxUa9evdSjRw+1bNlSwcHBkqSrV6/qwoULhc/rHj161KOafxMdHS2bzWb62mzZskVxcXElGheABay8jxgAgIquIj9j6u/vX/jc54wZM4zMzEynfdPS0oyhQ4c69O/Xr5+xYsWKwu2GDRsay5cvL7KGhIQEo02bNg7jzJo1y+W/v/3zlZKM9u3bG5s2bTIKCgqK7Hf9+nVj9uzZDs9d1q1b10hOTnZ5fk89/fTTDnVfunTJo7Hs/w38/PwKn68NDg423nvvvSKfXc3Ozjaee+45p8/+pqSkuDS/s76//XfHjh2N7du3F9nX/v+xGTNmOIzXt29f4+TJky7VkpSUZLz55ptGZGSksX79epf62IuIiDDNf8cdd3g0DgBrEUwBAChGRQ6m+n+LAn3++ec37J+Tk2PcfPPNDovPNGjQwJBkNG7c2Dh+/PgNxzlx4kRhIP7tT5s2bVz5qxvLli1zqH/w4MFGdna2S/0NwzA2btzoEE7Hjx/vcn9PxcbGmuYMDQ31eCxn4VySUa9ePWP//v0ujfH444879J8xY4ZLfZ3N/VugS0tLc+vvEh0dbRqjbdu2RlZWlltjGIZhFBQUGNevX3e7n2EYxpAhQ0w1BAUFebQoFQBr8YwpAACV2PPPP68hQ4bc8DhfX1+99NJLpjbDMHTp0iVJ0kcffaTIyMgbjhMeHu7wOo7jx48rMTGx2H6GYejvf/+7qS0qKkrLly+Xn5/fDef9Tb9+/TRt2jRT26JFi0ptAaCiHD9+3LTdokWLUp9j0aJFioqKcunYV199VQEBAaa2jRs3ejx37dq1tWzZMtWqVcutfvaLJD344IPy9/d3e36bzabAwEC3+0mOX4vr168rJSXFo7EAWIdgCgBAJVWnTh399a9/dfn4e++912lo6Nu3r3r37u3yOM7e3ensmdHfW7t2rY4cOWJqmzt3rnx9fV2e9zeTJ08ufGZRkrKyskzPyJa2nJwcnT171tTWtGnTUp0jJiZGgwYNcvn4evXq6Z577jG17d+/XwUFBR7NP3nyZI/+Tunp6abt+vXrezR/STRr1syh7eeffy73OgCUDMEUAIBKavjw4apRo4bLxwcGBuqmm25yaH/00UfdmrdTp04ObceOHSu2z2effWbajoyMVExMjFvz/iYwMNBhNdYtW7Z4NJYrTp8+7bDwUWhoaKnO8fjjj7vdp2vXrqbtjIwMnT592u1xbDabRo8e7XY/yTGIfvPNNx6NUxKNGzd2aEtOTi73OgCUDMEUAIBKqlevXm73cXYL6p133unWGPXq1TNdsZR0w9e+2L93tEePHm7Naa9Vq1am7X379pVovOJcvXrVoc2dXwi4wpOQHh4e7tCWlpbm9jgRERFOrzq6olu3bqbtJUuW6J133in2nbSlLSgoyKHN/kougIqP18UAAFBJRUREuN3HPlAGBgaqSZMmHo3z+x/+iwtEZ86ccbi1csOGDbr11lvdnvc3586dM23/9qxsWbh+/bpDm6fPQzoTEBDgUTB09ooeT4Jp586d3e7zm1GjRpneZWsYhiZMmKB33nlHo0aNUlxcnEf/n7rD2dfi2rVrZTongNJHMAUAoJKqW7eu233sn+n0ZAxn4+Tm5hZ5rLOFaM6fP+/wbtWSSE1NLbWx7OXn5zu0eXt7l9r49erV86ifs+dzi/s6FKVRo0YezS9JcXFxGjx4sFatWmVqP3LkiJ5++mk9/fTTat68uXr27KkuXbqoR48euu222+TjU3o/gjobKy8vr9TGB1A+uJUXAIBKypOFg8pijBspy9D4m6ysrDIb29kVudKcrzy+BsVxdyVee0uWLNGIESOK3J+cnKylS5dq8uTJ6t69u+rWrauhQ4dq+fLlys7OLtHckpSZmenQ5uz2XgAVG8EUAACUqV9++cXqEkrE2fOkzsJQZVXSq5dBQUFasmSJNm7cqNjYWNlstmKPz8jI0MqVKzV8+HCFh4dr4cKFJXom1dnXorSfAQZQ9gimAACgTDm74vjcc8/JMIxS/VNWnN3qevny5TKbr7Lq16+fNm/erKSkJL399tsaNmzYDZ9fPn36tMaNG6e4uDjl5OR4NK+zr0VJbk8GYA2CKQAAKFMNGjRwaKtMwc7ZKsTOnpvFr1q0aKEJEyZo+fLlOn36tE6ePKmPP/5YY8aMKXKRpzVr1mjChAkezefsa+Fs9WkAFRvBFAAAlKmQkBCHtpMnT1pQiefsX09DMHVdWFiYRo4cqYULFyo5OVmbN29Wv379HI57//33deTIEbfHd/bu1pYtW3pSKgALEUwBAECZioiIcFh5dvv27U5Xu62oOnbsaNpOSkryaAVcSLGxsdq4caPGjBljajcMQytXrnR7vKNHj5q2W7VqVeIFnQCUP4IpAAAoU15eXurdu7epLSMjQ5s2bbKoIvd16dLFtJ2bm+sQiOCeWbNmObx25+DBg26NYRiGDh06ZGqz/1oBqBwIpgAAoMzFxcU5tM2ePduCSjzTvXt3h7YDBw5YUEnVUb9+fTVs2NDUlpaW5tYYiYmJysjIMLV169atxLUBKH8EUwAAUOaGDx+uiIgIU9u2bdv01ltvWVSRe6Kjox1uR962bZtF1VQNWVlZDq8Ssg+qN+Lsa9C/f/8S1QXAGgRTAABQ5nx8fPTyyy87tD/77LNauHChx+Nu375dI0aMKElpLvHy8nIIPJs3by7zeSuyEydOaMaMGbp48aJH/RcuXKjs7GxTW1RUlFtj2H8NwsLC1KFDB4/qAWAtgikAACgXI0aM0KhRo0xteXl5GjdunO677z6Xny9MSUnR3Llz1b17d91xxx1avXp1WZTrYPDgwabthIQEnTp1qlzmrogyMjL00ksvKSwsTA888IBWrlypzMzMG/bLycnR66+/rmeeecbU7u3trT/96U8uz28Yhr7++mtTm7NbxgFUDj5WFwAAAKqPBQsW6MSJEw63YH7++ef6/PPPFRUVpZiYGEVGRqp+/fry8vLSlStXlJqaqsOHD2vPnj1KSEiQYRjlXvugQYNUq1YtXb16tbBtxYoV+stf/lLutVQkWVlZWrJkiZYsWaLAwEDdeuut6tSpkyIjI1WnTh0FBwcrOztb586d04EDB7RhwwZduHDBYZznn39ezZs3d3ne7777TmfOnDG1PfTQQyX++wCwBsEUAACUGz8/P23atEkTJkzQBx984LD/wIEDFXZRoYCAAA0bNkzvv/9+YRvB1CwzM1M7duzQjh073Oo3fPhwTZs2za0+K1asMG23b99e0dHRbo0BoOLgVl4AAFCuAgIC9P777+vjjz9W69atSzRWo0aN9MQTT5RSZTc2btw40/b27dv1888/l9v8FUlQUJCCg4NLNEbNmjU1e/ZsLV26VL6+vi73y8/P17Jly0xtY8eOLVEtAKxFMAUAAJYYOXKkjh8/riVLlmjAgAEuh5z27dtr4sSJWrdunU6fPq1//OMfZVzp/4qOjlavXr0Ktw3D0L/+9a9ym78iadOmjS5duqRNmzZp8uTJ6tatm/z8/Fzq265dO7388stKSEjQ888/L5vN5tbc69evV0pKSuF2nTp1NHr0aLfGAFCx2AwrHtIAAACwk5eXp3379unkyZNKTU3V5cuX5eXlpeDgYNWtW1eRkZFq27atatasaWmdq1evNi2yExoaqlOnTrl1xa+qys7O1okTJ5SYmKgzZ84oPT1d2dnZCgoKUu3atdWyZUtFRUWpQYMGJZonLi7OtOjVM888U66/oABQ+gimAAAAbjAMQ9HR0dq7d29h24cffqgHH3zQwqqqj4SEBLVt21YFBQWSpBo1auinn35So0aNLK4MQElwKy8AAIAbbDabZs6caWp77bXXLFkpuDr6xz/+URhKJempp54ilAJVAFdMAQAAPBATE6OtW7cWbq9cudLhXacoXadPn1br1q2Vk5MjSapXr54SExNVp04dawsDUGJcMQUAAPDAP//5T3l7exduT506Vfn5+RZWVPVNnz69MJRK0syZMwmlQBVBMAUAAPBAVFSU6VU1R44c0aJFiyysqGr78ccfTf++nTt35hUxQBXiY3UBAAAAldWMGTNUv379wudLf//sI0pXcnKypk6dWrg9ZMgQeXlxjQWoKnjGFAAAAABgKX7NBAAAAACwFMEUAAAAAGApgikAAAAAwFIEUwAAAACApQimAAAAAABLEUwBAAAAAJYimAIAAAAALEUwBQAAAABYimAKAAAAALAUwRQAAAAAYCmCKQAAAADAUgRTAAAAAIClCKYAAAAAAEsRTAEAAAAAliKYAgAAAAAsRTAFAAAAAFiKYAoAAAAAsBTBFAAAAABgKYIpAAAAAMBSBFMAAAAAgKUIpgAAAAAASxFMAQAAAACWIpgCAAAAACxFMAUAAAAAWIpgCgAAAACwFMEUAAAAAGApgikAAAAAwFIEUwAAAACApQimAAAAAABLEUwBAAAAAJYimAIAAAAALPX/A+xUz6BX0ac6AAAAAElFTkSuQmCC" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "execution_count": null, + "id": "89006fda", + "metadata": {}, + "outputs": [], "source": [ "# Plot water flow for specific links\n", "link_indices = [2, 3, 9]\n", "for index in link_indices:\n", " d.plot_ts(X=hrs_time, Y=hyd_res.Flow[:, index - 1],\n", " title=f'Flow for the link id {d.getLinkNameID(index)}',\n", - " xlabel='Time (hrs)', ylabel=f'Flow ({d.units.LinkFlowUnits})',\n", + " xlabel='Time (hrs)', ylabel=f'Flow ({units.LinkFlowUnits})',\n", " marker=None)" ] }, { "cell_type": "code", - "execution_count": 6, - "id": "8fd24cda", + "execution_count": null, + "id": "e0599e84", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Close toolkit for the input file \"Net1\". EPANET Toolkit is unloaded.\n", - "\n" - ] - } - ], + "outputs": [], + "source": [ + "d.plot_show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c51785ad", + "metadata": {}, + "outputs": [], "source": [ "# Unload library\n", "d.unload()" @@ -218,27 +150,10 @@ } ], "metadata": { - "kernelspec": { - "display_name": "Python 3.10.6 64-bit (windows store)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.6" - }, - "vscode": { - "interpreter": { - "hash": "0df096debc758afc4e07b4a6d7176310e13b87e5b446a84739768769d4d90649" - } + "jupytext": { + "cell_metadata_filter": "-all", + "main_language": "python", + "notebook_metadata_filter": "-all" } }, "nbformat": 4, diff --git a/examples/notebooks/EX5_Plot_values_parameters.ipynb b/examples/notebooks/EX5_Plot_values_parameters.ipynb index 4ec240c..c3b2aa8 100644 --- a/examples/notebooks/EX5_Plot_values_parameters.ipynb +++ b/examples/notebooks/EX5_Plot_values_parameters.ipynb @@ -1,71 +1,54 @@ { "cells": [ { - "cell_type": "markdown", - "id": "f27cae3f", + "cell_type": "code", + "execution_count": null, + "id": "6db0fa37", "metadata": {}, + "outputs": [], "source": [ - "### Plot net attributes.\n", - " \n", - "This example contains:\n", - "* Load a network.\n", - "* Plot node elevations.\n", - "* Run complete analysis.\n", - "* Plot Pressure at hour 10.\n", - "* Plot Flow at hour 10.\n", - "* Plot Pressure at hour 10 with printed values.\n", - "* Plot Flow at hour 10 with printed values.\n", - "* Unload library.\n", - "\n" + "\"\"\" Plot net attributes.\n", + " This example contains:\n", + " Load a network.\n", + " Plot node elevations.\n", + " Run complete analysis.\n", + " Plot Pressure at hour 10.\n", + " Plot Flow at hour 10.\n", + " Plot Pressure at hour 10 with printed values.\n", + " Plot Flow at hour 10 with printed values.\n", + " Unload library.\n", + "\"\"\"\n", + "from epyt import epanet" ] }, { "cell_type": "code", - "execution_count": 1, - "id": "46d6ab50", + "execution_count": null, + "id": "078e73df", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "EPANET version 20200 loaded (EPyT version 1.0.5).\n", - "Input File Net1.inp loaded successfully.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ - "from epyt import epanet\n", - "\n", - "# Load a network\n", - "d = epanet('Net1.inp')" + "# Load Network Net1\n", + "d = epanet('Net1.inp', loadfile=True)" ] }, { "cell_type": "code", - "execution_count": 2, - "id": "f0401bd7", + "execution_count": null, + "id": "0c211368", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": "
    ", - "image/png": "iVBORw0KGgoAAAANSUhEUgAAA6YAAAJ9CAYAAAAmDG+zAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAC4jAAAuIwF4pT92AAAxDklEQVR4nO3deZjdZX3//9fJTDJLFiYEEEVlCyACIqCpgAuooKCCS4KtvVrUb7XqF7fW9tLqD6z1amsriPUrrXpZ1KroVZYiolZENgWsCi5QZFGirLIlkm2SWe7fH8OMmcweMrkncx6P68qVK59zn3Pu887kZJ5ztkYppQQAAAAqmVN7AwAAADQ3YQoAAEBVwhQAAICqhCkAAABVCVMAAACqEqYAAABUJUwBAACoSpgCAABQlTAFAACgKmEKAABAVcIUAACAqoQpAAAAVQlTAAAAqhKmAAAAVCVMAQAAqEqYAgAAUJUwBQAAoCphCgAAQFXCFAAAgKqEKQAAAFUJUwAAAKoSpgAAAFQlTAEAAKhKmAIAAFCVMAUAAKAqYQoAAEBVwhQAAICqhCkAAABVCVMAAACqEqYAAABUJUwBAACoSpgCAABQlTAFAACgKmEKAABAVcIUAACAqoQpAAAAVQlTAAAAqhKmAAAAVCVMAQAAqEqYAgAAUJUwBQAAoCphCgAAQFWttTcAADAblFLymx9/P/fe/OOU/v7suu+B2eeoF6el1bdbABNxTwkA8Djdfs1/51t//5d5+M5bhx1f+IQ98sJ3fDCHveb1dTYGsINolFJK7U0AAOyofnbJl3PhX78+GedbqmPefkaO+b8f2H6bAtjBCFMAgK30u/vvzidecmB6N3ZPuPb/nHd1nnLYkdthVwA7Hm9+BACwlX70lU9PKkqT5PovfGKadwOw4xKmAABb6bYrvj75tVdemv7+/mncDcCOS5gCAGyldY88NOm1PRvWp7d7wzTuBmDHJUwBALZS5+Ilk17b2t6R1vaOadwNwI5LmAIAbKX9j3nZ5Ne+4MTMmeNbL4DRuHcEANhKz/rDN6dlXtuk1j7n1LdP824AdlzCFABgK3U96al5xd+ekzQa4657/lv/Jk89/OjttCuAHY/PMQUAeJxu/e7X861/fE9W/eaXw47P3+UJOfa003PEa9+UxgTxCtDMhCkAwDbQ39+flf9zVe67+Yacf+0d+fM/PjFLn/uStM6bV3trADOeMAUA2Mbe9K9X5TNvfUHtbQDsMLzGFAAAgKqEKQAAAFUJUwAAAKoSpgAAAFQlTAEAAKhKmAIAAFCVMAUAAKAqYQoAAEBVwhQAAICqhCkAAABVCVMAAACqEqYAAABUJUwBAACoSpgCAABQlTAFAACgKmEKAABAVcIUAACAqoQpAAAAVQlTAAAAqhKmAAAAVCVMAQAAqEqYAgAAUJUwBQAAoCphCgAAQFXCFAAAgKqEKQAAAFUJUwAAAKoSpgAAAFQlTAEAAKhKmAIAAFCVMAUAAKAqYQoAAEBVwhQAAICqhCkAAABVCVMAAACqEqYAAABUJUwBAACoSpgCAABQlTAFAACgKmEKAABAVcIUAACAqoQpAAAAVQlTAAAAqhKmAAAAVCVMAQAAqEqYAgAAUJUwBQAAoCphCgAAQFXCFAAAgKqEKQAAAFUJUwAAAKoSpgAAAFQlTAEAAKhKmAIAAFCVMAUAAKAqYQoAAEBVwhQAAICqhCkAAABVCVMAAACqEqYAAABUJUwBAACoSpgCAABQlTAFAACgKmEKAABAVcIUAACAqoQpAAAAVQlTAAAAqhKmAAAAVCVMAQAAqEqYAgAAUJUwBQAAoCphCgAAQFXCFAAAgKqEKQAAAFUJUwAAAKoSpgAAAFQlTAEAAKhKmAIAAFCVMAUAAKAqYQoAAEBVwhQAAICqhCkAAABVCVMAAACqEqYAAABUJUwBAACoqrX2BmaS/o3rs/En307vgyvTmNuetqcdlbl7PqP2tqio9HYnG9cmpS9pmZu0LUpjjn82zaqUkmx8NOndmDSSzO1M5s5Po9GovTVgBiilJL3dSd/GvHj/BSmb1idzO9xHAL/X15P0bUxKSea0Jq1tScNjhUnSKKWU2puorfT3Ze3FZ2bNpR9PWbd62Gnz9vuD7PSGMzNv78PqbI4qSu/G5NG7ko1rhp/QmJN0LkkWPikNdyJNpax/OFlzX9LfM/yE1vZk0R5ptC2qszFgRiib1ifrHxp5H9FoSTp3dh8Bza5vU9L9u4Hfh2kkbQuTeQuSJv8hVtOHaenvz6p/fVM2fO8rY65ptHVmyfu+lrYDjtyOO6OW0tudPHx70t879qJ5C5Kd9xWnTaKsuS9Ze//4i7r2TKNj5+2zIWBGKRvXJOseGH9Rx2L3EdCsejcm6x9OMk52ze1I2hc3dZw2fZiuu+o/svrf3jLhupad98gTzv55GnPbtsOuKvl1kjsnsW7vJHtO814qKaUkD9+a9GyYePGCJ6axcPfp3xRVlU1rB35QMaFGstvT02iZN+17AmaO0t+brP5Nxv2Gc9DCPdKY2z7tewJmkFIGfrhd+ide2744mdc5/XuaoZr6xXKllKz9xv+b1Nq+R+7JhusvTOfz/miad1XRmiTHTrCmkeRn22EvtfSsm1yUJsn6B1MW7OZR09lu3YOTXFgGnsa38EnTuh1ghul+NJOK0iTZuDqZ6wea0FR6NkwuSpNk09qBR06b9FHTpv6Ouu/hu9P7m5smvb77hm9O425mgIOTrJhgzYrH1s1W3b+b/Nr+3qRn/fTthepKKVP7muh+dPo2A8xMPesmv3bT+jT5E9Wg+fR2T35tf8/AG242qaYO0/5HH5rS+r5HJ/vIyQ7s9HFOayT5/7bXRioZ73Wl22I9O5bSn0k/EpL4eoBm1D+VbyJLpnSfAuz4phqak310dRZq6qfyzlm4ZErrb3ygP//5r1dN025mjj8//MA864bdRhz/4WEP5NPX3JJcU2FT28nyg9py/H6Tfx3xP3/tptz+cPP+ZGu2ayT5xCsWZl7L5J5Sc9eq7vzdhbP/PgL4vdNfslue3DW515Zv6u3P2//tGmkKTeTPn7t7nrXngsmfoYlfItbUb35USskDf/3s9N59y6TWL37rp9P5/D+e5l3NADclOWSU4z/P7H4abx57Z8VH7pjc4jmtyW4HeY3pLFdW/WryT+ed/4Q0FnmNKTSTsv7hpHv15BbPne9N86DZbFo3+fuIOa3J/N28xrQZNRqNLDjx7ZNaO6dr93Q85zXTvKMZYrTXmp6SWR+lSQY+Bqa1Y3JrO3cRpc1g/shnD4yukczfZVq3AsxAbYsy8PyKSWjfaVq3AsxAczsn/yhok3+WadN/V935gj9Jx5HLx180tz07v/1zacxrord43/y1ps3w2tLHNBqNpGvPgQ9EH8+8BcmCJ2yfTVFVY7J/1zs9xUfFQBNqtMyd3A+l2henMXeSP/gEZo9GI5nMZxi3dgxEbBNr6qfyDip9vVlz4T9k7Tc/mbJhzbDT5u79zHS98eOZt/RZlXZX0SlJ/vOx379aeS/bWentTn5318Dbdg/TSDqXJIv28GhpEymlDHww9tr7Rr7BUcu8ZNGT0/BICDS1smndwEdGbXkf0WhJOhYnbYsGfvgJNKe+TcmG1QPvvDtMY+ABj7aFTf1oaSJMh+nfsCbdN3wzfQ/+Oo157Zl3wFGZu8/hzfsfyU1JDk3y0zTH03hHUXo2DMRpf1/SMjdp3ymNOU39nmFNrZT+ZOOjSW93zr/uzix//sHJvAXNex8BDFNKSXo3JL0bc+H1d+bVRx+QzO10HwEMKGUgTHs35aIf/CqvOnJp0tre1G94tDnfYW9mTsfCdB59Su1tzBwHJ/lymjZKkww87cpTr3hMozEnae9Kknz7jluz4riFdTcEzCiNRmPgqXhzO/OtX/wsrzl2fu0tATNJozHwTKuWefnGzavyquc391N3tyTPGd9ra28AAACY7YQpAAAAVQlTAAAAqhKmAAAAVCVMAQAAqEqYAgAAUJUwBQAAoCphCgAAQFXCFAAAgKqEKQAAAFUJUwAAAKoSpgAAAFQlTAEAAKhKmAIAAFCVMAUAAKAqYQoAAEBVwhQAAICqhCkAAABVCVMAAACqEqYAAABUJUwBAACoSpgCAABQlTAFAACgKmEKAABAVcIUAACAqoQpAAAAVQlTAAAAqhKmAAAAVCVMAQAAqEqYAgAAUJUwBQAAoCphCgAAQFXCFAAAgKqEKQAAAFUJUwAAAKoSpgAAAFQlTAEAAKhKmAIAAFCVMAUAAKAqYQoAAEBVwhQAAICqhCkAAABVCVMAAACqEqYAAABUJUwBAACoSpgCAABQlTAFAACgKmEKAABAVcIUAACAqoQpAAAAVQlTAAAAqhKmAAAAVCVMAQAAqEqYAgAAUJUwBQAAoCphCgAAQFXCFAAAgKqEKQAAAFUJUwAAAKoSpgAAAFQlTAEAAKhKmAIAAFCVMAUAAKAqYQoAAEBVwhQAAICqhCkAAABVCVMAAACqEqYAAABUJUwBAACoSpgCAABQlTAFAACgKmEKAABAVcIUAACAqoQpAAAAVQlTAAAAqhKmAAAAVCVMAQAAqEqYAgAAUJUwBQAAoCphCgAAQFXCFAAAgKqEKQAAAFUJUwAAAKoSpgAAAFQlTAEAAKhKmAIAAFCVMAUAAKAqYQoAAEBVwhQAAICqhCkAAABVCVMAAACqEqYAAABUJUwBAACoSpgCAABQlTAFAACgKmEKAABAVcIUAACAqoQpAAAAVQlTAAAAqhKmAAAAVCVMAQAAqEqYAgAAUJUwBQAAoCphCgAAQFXCFAAAgKqEKQAAAFUJUwAAAKoSpgAAAFQlTAEAAKhKmAIAAFCVMAUAAKAqYQoAAEBVwhQAAICqhCkAAABVCVMAAACqEqYAAABUJUwBAACoSpgCAABQlTAFAACgKmEKAABAVcIUAACAqoQpAAAAVQlTAAAAqhKmAAAAVCVMAQAAqEqYAgAAUJUwBQAAoCphCgAAQFXCFAAAgKqEKQAAAFUJUwAAAKoSpgAAAFQlTAEAAKhKmAIAAFCVMAUAAKCqRiml1N4EwExXSn+ycc3Ar/6erOvuzfz585O2Rcm8+Wk0GrW3CNRUStK7Idm0PunblPWbetPZ0Z7MnZ/M7UzcR0BzKyXp70l6u5O+nnT39KZ93ryktS1pbU8aHi8UpgATKH09yZr7Bv5DGU1re7Jg9zTmtGzfjQEzQ+lP1j+c9G0a/fQ5rUnnkoHfgeZTSrJpbdK3cYwFjYEfdLfM3a7bmmmkOcA4SukfP0qTgZ9+rr0/fs4HTaiU8aM0Sfp7k/UPDQQs0HzGjdIkKcnGR5P+vu22pZlImAKMp/t340fpoN7upGf99O8HmFl6u8eP0kH9fcmmddO/H2Bm6e+dIEoHlab/PkKYAoxn45oprH10+vYBzExT+Uayyb/phKbUO5kofUzfxoFnYTQpYQowhjL4RgWTNZlHTYDZpW8K9xH9vU39TSc0pf7eqa0vzft0Xm9+BDCGUvqTVXdOev1D63rzN1+/fxp3BMw0//jKPbNk/uTfsOSt5/0yvf2+9YJm8a7j9sxBT1ow+TO0dzXtG6UJU4BxlNW/mfyjpnM701j4xOndEDCzrH9o8k/Vm9OSLNh9evcDzCyb1g68Fn2yOpY07cdLeSovwHjaFk7PWmB2mDt/etYCs0Nr++TXtrQ1bZQmwhRgfG2LJveUmtZ233RCM2ptT1rmTbyu0ZLMcx8BTWdO60BwTqiRzO2c9u3MZMIUYByNOS3JwieOH6ctbcmC3dNo4p9yQtNqNJKOnZOWcV5n2mhJOndJGr7tgqY0b8EEP8BqPPaD8JbttqWZyGtMASahlP6Bj4PZuCbp25RNvf2Z19458PTdeQtFKTS78thnEPasT/o2paevZO7ceQOPgMzrFKXQ7EoZePf+3u7H3qm3DNwvtLYP/HIf4RFTgMloNOak0d6Vxk5PSWPnfXPaBfemsWiPNNoWiVJg4JHTefOT+bsmi/bI277yy2TBbknbAt9wAgP3Ea1tSftOSeeSgWdRdOw88MMr9xFJhCkAAACVCVMAAACqEqYAAABUJUwBAACoSpgCAABQlTAFAACgKmEKAABAVcIUAACAqoQpAAAAVQlTAAAAqhKmAAAAVCVMAQAAqEqYAgAAUJUwBQAAoCphCgAAQFXCFAAAgKqEKQAAAFUJUwAAAKoSpgAAAFQlTAEAAKhKmAIAAFCVMAUAAKAqYQoAAEBVwhQAAICqhCkAAABVCVMAAACqEqYAAABUJUwBAACoSpgCAABQlTAFAACgKmEKAABAVcIUAACAqoQpAAAAVQlTAAAAqhKmAAAAVCVMAQAAqEqYAgAAUJUwBQAAoCphCgAAQFXCFAAAgKqEKQAAAFUJUwAAAKoSpgAAAFQlTAEAAKhKmAIAAFCVMAUAAKAqYQoAAEBVwhQAAICqhCkAAABVCVMAAACqEqYAAABUJUwBAACoSpgCAABQlTAFAACgKmEKAABAVcIUAACAqoQpAAAAVQlTAAAAqhKmAAAAVCVMAQAAqEqYAgAAUJUwBQAAoCphCgAAQFXCFAAAgKqEKQAAAFUJUwAAAKoSpgAAAFQlTAEAAKhKmAIAAFCVMAUAAKAqYQoAAEBVwhQAAICqhCkAAABVCVMAAACqEqYAAABUJUwBAACoSpgCAABQlTAFAACgKmEKAABAVcIUAACAqoQpAAAAVQlTAAAAqhKmAAAAVCVMAQAAqEqYAgAAUJUwBQAAoCphCgAAQFXCFAAAgKqEKQAAAFUJUwAAAKoSpgAAAFQlTAEAAKhKmAIAAFCVMAUAAKAqYQoAAEBVwhQAAICqhCkAAABVCVMAAACqEqYAAABUJUwBAACoSpgCAABQlTAFAACgKmEKAABAVcIUAACAqoQpAAAAVQlTAAAAqhKmAAAAVCVMAQAAqEqYAgAAUJUwBQAAoCphCgAAQFXCFAAAgKqEKQAAAFUJUwAAAKoSpgAAAFQlTAEAAKhKmAIAAFCVMAUAAKAqYQoAAEBVwhQAAICqhCkAAABVCVMAAACqEqYAAABUJUwBAACoSpgCAABQlTAFAACgKmEKAABAVcIUAACAqoQpAAAAVQlTAAAAqhKmAAAAVCVMAQAAqEqYAgAAUJUwBQAAoCphCgAAQFWttTcAsKMopSS9G5K+TTl2v/kpPd1Ja1sajUbtrQEzQCkl6VmX9GzIC/eZl7Lx0WTeQvcRAJPQKKWU2psAmOnKxkeTDY8k/X3DT2iZm3TuksbczjobA2aEsvHR5NF7kt7u4SfMmZssfGIanUvqbAxgByFMASZQNqwaiNLxzN8tjbaF22dDwIxSNqxKVq8cf9GCJ6axcPftsh+AHZHXmAKMo/R0TxylSbLuwZT+3unfEDCjlL5NyepfT7xw7X0pm9ZN/4YAdlDCFGA8G1dPcmFJuh+dzp0AM9H6h5NM8sln6x6Y1q0A7MiEKcAYSinJpvWTP0OPR0Og6XSvnvzajY/GK6gARidMAcZUMulHQpKRb4wEzH5TeQp/6R/4BcAIPi4GYEyNx35NLk7vWrUhf/eVq6Z1R8DMcsax87PHTi2TXN1IGh4TABiNd+UFGEdZc//kn6Lb3uUjIaDJlEfvTdb9dnKL23dKY/E+07shgB2UH9sBjKd9p0kubCRti6Z1K8AMNH+XDDyzYjJrd5vWrQDsyIQpwDgaczuS9q6JF87fJY2WudO+H2BmabTMS3Z6ysQL5z8hjXkLpn9DADsoT+UFmEApJdn46MDnmW75xiVzWpPOXdKYN7/O5oAZoXSvTh69J+nbNPyEOa3Jgt0H7icak3xkFaAJCVOASSqlDLzetK9n4EBrW9La4ZtNIMngR0ytSXoe+5ip1vakbVEa3vAIYELCFAAAgKr8CA8AAICqhCkAAABVCVMAAACqEqYAAABUJUwBAACoSpgCAABQlTAFAACgKmEKAABAVcIUAACAqoQpAAAAVQlTAAAAqhKmAAAAVCVMAQAAqEqYAgAAUJUwBQAAoCphCgAAQFXCFAAAgKqEKQAAAFUJUwAAAKoSpgAAAFQlTAEAAKhKmAIAAFCVMAUAAKAqYQoAAEBVwhQAAICqhCkAAABVCVMAAACqEqYAAABUJUwBAACoSpgCAABQlTAFAACgKmEKAABAVcIUAACAqoQpAAAAVQlTAAAAqhKmAAAAVCVMAQAAqEqYAgAAUFVr7Q1A1j+02R/KY7+V4X8e89hY55vssfEvvww77wTrt8l1Z5Rj411W/9iXv/lpo15n/xanjbJ+2HX2T3haqXjdw44NXf8o64euu3/ksf7R9j/a+rKVp42z19FO65/EZWzLvU60n1H3uOXlj7N+wuuewmU9rsufhv309292trG/7kY/rTz222bX3V+2WD9yX2WUyxi6nv4JLn+LfZQJZl22+Hse/bonvp6Bixi8/MGTyijLR9v/2OszzmVMff3vr3q0+YzYx7Ctjr3X399Vjfw/ZjL72vyqhv46Rl58hv3Vb7l+s5vWXxpTXD/8eja//v4t/jza+tH2Ovr+G1NcP/ZeR/mrHPWyRhn/uLMY5a9+xLpRL39obWObXvdUb9uW6za/rA/+oidQi0dMAQAAqEqYAgAAUJUwBQAAoCphCgAAQFXCFAAAgKqEKQAAAFUJUwAAAKoSpgAAAFQlTAEAAKhKmAIAAFCVMAUAAKAqYQoAAEBVwhQAAICqhCkAAABVCVMAAACqEqYAAABUJUwBAACoSpgCAABQlTAFAACgKmEKAABAVcIUAACAqoQpAAAAVQlTAAAAqhKmAAAAVCVMAQAAqEqYAgAAUJUwBQAAoCphCgAAQFXCFAAAgKoapZRSexMw0zzwwAM555xzhv78tre9LbvttlvFHc1s5jV1ZjY15jV1ZjY15jV1ZjY15gXjE6YwiptvvjkHH3zw0J9vuummHHTQQRV3NLOZ19SZ2dSY19SZ2dSY19SZ2dSYF4zPU3kBAACoSpgCAABQlTAFAACgKmEKAABAVcIUAACAqoQpAAAAVQlTAAAAqhKmAAAAVCVMAQAAqEqYAgAAUJUwBQAAoCphCgAAQFXCFAAAgKpaa28AZqJdd901Z5xxxrA/MzbzmjozmxrzmjozmxrzmjozmxrzgvE1Siml9iYAAABoXp7KCwAAQFXCFAAAgKqEKQAAAFUJUwAAAKoSpgAAAFQlTAEAAKhKmAIAAFCVMAUAAKAqYQoAAEBVwhQAAICqhCkAAABVCVMAAACqEqYAAABUJUyZda688so0Go0Jf33oQx8acd7Pfe5zWbZsWRYsWJCdd945J554Yq699tpxr+/73/9+TjzxxOy8885ZsGBBli1bli984QvTdfOmxVRn1t/fn2uuuSZ//dd/nSOOOCILFy5MW1tb9t1337zlLW/JnXfeOe71NePMxvLiF794aO3dd9895rodfWaPZ149PT05++yzs2zZsixatCgLFizI/vvvnze+8Y255557Rr2+m2++OStWrMiuu+6ajo6OHHLIITn77LPT398/3Td1m9namd1777057bTTsnTp0rS1taWzszPPeMYzcsYZZ2TNmjVjXt8ll1ySF7zgBVm0aFEWLVqUY445Jpdeeul038xt7oc//GFOOeWUPOlJT8rcuXPT1dWV5z3veTn33HNTShmxvq+vLx/72MdyyCGHpKOjI7vuumtOOeWU3HLLLeNeT7PNq6enJ9/+9rdz2mmn5eCDD05nZ2c6Ojpy4IEH5j3veU8efPDBca9ntswrmfrX2OY2bdqUpz/96Wk0GmltbR137WyaGUxGo0z0Lwh2ML/4xS/yj//4j6Oe1tfXly9+8YtJku9+97s59thjh05717velY9//OPp6OjI8ccfn+7u7lx++eUppeT888/PK1/5yhGXd8EFF+S1r31t+vv78/znPz+77LJLLr/88qxevTp/+Zd/mY9+9KPTchu3tanO7I477sh+++2XJNl9992zbNmytLS05H/+539yzz33ZOHChfnGN76R5z73uSMur1lnNprPfe5zecMb3pBGo5FSSu666648+clPHrFuNsxsa+f1yCOP5Pjjj8+Pf/zjPPGJT8xznvOcJMkdd9yRn//857nmmmtGfJ1dd911edGLXpQNGzZk2bJl2WuvvXL11Vfn/vvvz4oVK/LVr341jUZjmm7ptrM1M7v99ttz9NFH58EHH8xee+2Vww8/PN3d3bn22muzevXqPP3pT8+1116bnXbaadjlnX322Xn3u9+d1tbWvPjFL05bW1u+/e1vZ8OGDfnEJz6R0047bXpv7DYy+G+lr68vhx9+eJYuXZoHH3ww11xzTXp7e/O6170uX/rSl4bW9/f3Z/ny5bnooovS1dWVF73oRXnooYdy9dVXp6OjI1dccUWWLVs24nqacV7f+c53ctxxxyXJ0NdWT09Prrvuujz00EPZfffdc+WVV+aAAw4YcT2zZV7J1L/GtvTBD34wH/rQh1JKSUtLS3p7e0ddN5tmBpNWoIl84xvfKEnKU57ylNLf3z90/LLLLitJypIlS8ptt902dPzaa68t8+bNK11dXWXVqlXDLuvhhx8uixYtKknKBRdcMHT8/vvvL0uXLi1JyhVXXDHdN2najTazO+64oxx33HHl8ssvHzbH7u7u8vrXv74kKU996lPLpk2bhl1WM89sSw888EDZeeedy/HHH1/23HPPkqTcddddI9Y1w8zGmld/f3859thjS5JyxhlnlJ6enmHn++Uvf1kefPDBYcc2bdpU9t5775KknHXWWUPH16xZU4488siSpJx77rnTenu2h7Fm9qpXvaokKW9729tKb2/v0PHVq1eX5zznOSVJOf3004dd1i9+8YvS0tJS2trayrXXXjt0/NZbby1Lliwpra2t5fbbb5/+G/U49fT0lN12260kKV/60peGnfa///u/Zeeddy5Jyne/+92h45/5zGdKkrLffvuV+++/f+j4+eefX5KUpUuXjvi6a9Z5XX755eWUU04pP/jBD4atXb16dXnJS15SkpQjjzxyxPXMlnmVsnVfY1uumTdvXnnzm99ckpSWlpZR182mmcFUCFOayute97qSpLz3ve8ddvyEE04oScrHPvaxEed5xzveUZKUj370o8OOf+QjHylJysknnzziPBdeeGFJUl7+8pdvy+1XMdbMxrJ+/fqy0047lSTlyiuvHHaamQ1f097eXu64445xw7QZZjbWvL761a+WJGXFihWTvqzB8xx66KEjTvvxj39ckpSDDz748W65urFmtmTJkpKk3HfffSPOM/j1csIJJww7/ta3vrUkKe985ztHnOess84qScppp522Tfc/HX7+85+XJOWAAw4Y9fTB+/KPfOQjQ8cOPPDAkqRcdNFFI9afdNJJJUk5//zzhx1v5nmN5Z577ilJSpKycuXKYafNlnmV8vhm1t/fX5773OeW3XbbrTzyyCPjhulsmhlMhdeY0jTWrVuXiy++OEnyJ3/yJ0PHN2zYkO9+97tJkuXLl4843+CxSy65ZNjxwdd5jHael73sZWlvb893vvOddHd3b5sbUMFYMxtPR0dH9t9//yQDr3XbnJkN+Na3vpUvf/nLef/7359999133Mub7TMbb16f+cxnkiRvf/vbJ315483r8MMPzz777JObbropK1eu3Mod1zfezNra2iY8/5IlS4b9ebyZjXX/NxNN5rYnv7/9d955Z2655ZZ0dHTkZS972Yh1W3PfP5vnNZ4nPelJ2XXXXZNM7X5/R5pX8vhm9qlPfSrf+973cuaZZ2bx4sXjnn82zQympHYZw/byhS98oSQphx122LDjN954Y0lSdt1111HPt3bt2pKkLF68eNjxwUcFb7755lHP96xnPaskKT/96U+3zQ2oYKyZjaevr2/oqU5bPp3JzAa+nvbaa6/ytKc9rWzcuLGUUsZ9xHS2z2yseW3atKm0t7eX1tbW0t3dXX7605+WD3zgA+XNb35z+du//dvyk5/8ZNTLO/TQQ0uScumll456+vLly0uScvHFF2/z27K9jPc1NvhU+vGeyrv5v8tVq1YNPdK1du3aUa9vl112KUnK7373u21/Y7ah3t7esu+++477NMvFixeXhx9+uJRSykUXXVSSlGc/+9mjXt5NN900Ys7NPK/xrFq1qrS2tpYk5Ve/+tWw47NlXqVs/czuvffestNOO5UXvehFQ8cyxiOms21mMBUeMaVpDL5RyJaPMPzmN79JklHfdCZJ5s+fn66urqxatWroHS0fffTR/O53vxv3fIPHf/3rXz/+zVcy1szGc9555+WBBx7IrrvumqOOOmrouJkNOP3007Ny5cr827/9W+bNmzfuZTXDzMaa169+9at0d3dnyZIl+djHPpbDDjssH/7wh/PpT386Z5xxRg477LC8+93vHnF5E/173tHnlYz/NfYP//APOeSQQ3LOOedk6dKlWb58eV7+8pdnr732ysqVK/PFL35x2JtLDc5r8eLFmT9//qjXt6PMrKWlJZ///OfT1dWVP/7jP84RRxyRP/zDP8wLX/jCPOMZz8iTn/zkXH755dl5552TbN3XSjPPazyf/OQn09vbm0MOOSR777330PHZNK9k62d22mmnpbu7O+ecc86E1zHbZgZTIUxpCvfdd18uv/zytLS05I/+6I+GnbZ27dokSWdn55jnH/zPYTBMB88z3vm2PM+OZryZjeWuu+7Ku971riTJhz70oWFPezKz5IYbbsjHP/7xnHrqqXnBC14w4eXN9pmNN69Vq1YlSR5++OG8733vy1ve8pb88pe/zEMPPZTPfvaz6ejoyNlnn51PfvKTw8430b/nHXleycRfY4PvjHr88cdn5cqVueCCC3LppZdm9erVOeqoo3LEEUcMW781938z2dFHH52rrroq++yzT2644YZ89atfzRVXXJE5c+bkuOOOyz777DO0dmu+Vpp5XmO58cYb8+EPfzhJ8pGPfGTYabNtXsnUZ3bxxRfnwgsvzHvf+96hl7mMZzbODCZLmNIUzjvvvPT19eW4447L7rvvXns7O4SpzmzdunV59atfnYceeiivfOUr85a3vGU77HJmGW9mfX19+bM/+7N0dXXtEB/vsj2MN6/Bzxvt7e3NCSeckE9+8pPZZ599smTJkrzxjW/MP//zPycZeISwmUz07/JnP/tZDj300Nx66625+OKLs2rVqtx99905++yz881vfjNHH310br311go73z7OO++8LFu2LE95ylPygx/8IGvXrs1tt92W17/+9TnzzDPzwhe+MBs3bqy9zRnj8c7rt7/9bV796lenu7s773rXu3LCCSdsx93XMZWZrVmzJqeddlr233//vO9976u8c5j5hClNYbynvi1YsCBJsn79+jHPv27duiTJwoULh51nvPNteZ4dzVSextvT05MVK1bkRz/6UZ773Ofmy1/+8og1zT6zs88+OzfeeGP+6Z/+KbvsssukLm+2z2wy/y6T5A1veMOI01//+tcnSe65557ccccdI843G+eVjD+znp6eLF++PPfee28uvPDCnHTSSenq6soee+yRd77znfnwhz+cRx55JKeffvrQebbm/m+muv3223Pqqadml112yde//vUsW7Ys8+fPz3777ZdPfepTefnLX54bbrgh//7v/55k675WmnleW1qzZk1OPPHErFy5MitWrMiZZ545Ys1smlcy9Zn9zd/8Te6+++6cc845k37jpNk2M5gKYcqsd8stt+TGG2/MggUL8spXvnLE6U996lOTJHffffeo51+3bl1Wr16dxYsXD/0nsGjRoqEPqB/rfIPH99xzz8d7E7a7iWa2uf7+/px66qn55je/mWc+85m55JJL0tHRMWJds8/skksuSaPRyOc///kcc8wxw37df//9SZIVK1bkmGOOybe+9a0ks3tmE81r89uz1157jTi9s7Mzu+22W5LkgQceGDo+0b/nHXVeycQzu/7663P77bdn7733zuGHHz7i9BUrViRJrr766qFjg/NatWrV0De7W9pRZvaVr3wlPT09eelLXzrsBxuDTjnllCS/v/1b87XSzPPaXHd3d0466aTccMMNOf744/PFL34xc+aM/JZyNs0rmfrMLrnkkrS3t+fv/u7vRtzvJwPPpBn8809+8pMks29mMBXClFnvP/7jP5Ikr371q0d9zcYBBxyQtra2PPjgg7nnnntGnH7DDTckSZ7xjGcMO37ooYcOO31zPT09uemmm9Le3j6p15TMNBPNbHNvf/vbc95552X//ffPf//3f6erq2vMtc0+s1JKrr766lx11VXDfg0+7ev666/PVVddNRSqyeyd2UTz2mmnnYbeRGXw9aab6+/vz+rVq5MMf3R1vHltfnzLf887golmNvjN6uAPM7Y0eHzzeXZ1dQ19I3zjjTeOOM9dd92Vhx56KHvuuWcWLVr0+G7ANJvq7R/8WrnpppvS09MzYv1oXyvNPK9Bvb29ee1rX5srr7wyRx11VC688MIx38htNs0r2bqZdXd3j7jPv+qqq4ZOH/zz4P3ZbJsZTIUwZVYrpQw9rXSsp6R2dHTkhS98YZLkP//zP0ecfv755ydJXvGKVww7Pvi5d4Onb+7rX/96uru78+IXvzjt7e1bfwMqmMzMBn3gAx/IOeeck6c+9am57LLLhh7BGkszz+zKK69MKWXUX4M/9b7rrrtSShl6mmoyO2c22a+xk046KcnA7LZ0/fXXZ9OmTeno6MgBBxwwdHy8ed1444351a9+lYMPPnjUR2FnssnMbPA1p7feeuuob4rywx/+MMnIR6DHm9lY938z0eDt/9GPfjTq6Vve/r333jsHHnhgNmzYMPS5kZvbmvv+2TyvZODr8A1veEO+9rWv5ZnPfGYuvfTSMd85dtBsmVcy9ZmtXLlyzPv9ZOBdfgf/PPgoajK7ZgZTsj0/mwa2t6uuuqokKXvssUfp6+sbc91ll11WkpQlS5aU2267bej4tddeW9ra2kpXV1dZtWrVsPM8/PDDZdGiRSVJueCCC4aO//a3vy1Lly4tScoVV1yxrW/StJvszM4666ySpOy+++7DZjaeZp/ZWMb7HNPZOLPJzuvOO+8s8+bNKwsXLizXXXfd0PEHH3ywPPvZzx76vM7Nbdq0qey9994lSTnrrLOGjq9du7YceeSRJUk599xzt/ltmm6TmdmGDRuGPkP4T//0T0t3d/fQaffcc0855JBDSpLy/ve/f9j5fvGLX5SWlpbS1tY2bM633XZbWbJkSWltbS2333779NywbejHP/7x0Oc/nnPOOcNOu+6668r8+fNLknLZZZcNHf/MZz5TkpT99tuv/Pa3vx06fsEFF5QkZenSpaWnp2fYZTXzvN7xjneUJOVpT3taeeCBByZ1PbNlXqVs3czGkjE+x7SU2TUzmAphyqz2pje9qSQpf/VXfzXh2ne+850lSens7Cwnn3xyOeGEE0pra2tpaWkpF1100ajnOf/888ucOXNKo9Eoxx57bFm+fHnp6uoqScpf/MVfbONbs31MZmY33nhjaTQaJUk58sgjy6mnnjrqr2uuuWbEeZt1ZuMZL0xLmX0zm8q8PvvZz5ZGo1Hmzp1bnv/855dXvOIVZcmSJSVJOfzww8uaNWtGnOf73/9+6ejoKEnKH/zBH5RTTjmlPPGJTyxJyvLly0t/f/903KxpNdmZXXTRRaW1tXUoYk8++eRy/PHHl4ULF447s8EfNLW2tpYTTjihnHzyyUMz/Jd/+Zfpulnb3Hve856hcDjooIPKihUrytFHH13mzJlTkpQ3v/nNw9b39fWVV73qVSVJWbx4cVm+fHk55phjSqPRKB0dHeX6668f9XqacV7/9V//NbT2uOOOG/N+/5ZbbhlxPbNlXqVM/WtsLOOFaSmza2YwWcKUWau7u7ssXry4JCk//elPJ3Wec889txxxxBGls7OzdHV1lZe+9KXl+9///rjn+d73vlde+tKXlq6urtLZ2Vme9axnlc997nPb4iZsd5Od2RVXXDH0H/N4v8Z6ZKoZZzaeicK0lNkzs62Z1xVXXFFe8pKXlK6urtLW1lYOPPDA8sEPfrCsXbt2zPPcdNNN5TWveU1ZsmRJaW9vLwcddFA566yztuoR7dqmOrMbbrihvO51rytPfvKTy9y5c8v8+fPLM5/5zPL3f//3Zf369WOe72tf+1p53vOeVxYsWFAWLFhQnve855VLLrlkW96U7eLCCy8sxx9//NAjS4sXLy7HHnts+fKXvzzq+t7e3nLmmWeWgw46qLS3t5clS5aU5cuXl5tvvnnc62m2eZ177rmTut8f6xkcs2VepUz9a2w0E4VpKbNrZjAZjVIee6I7AAAAVODNjwAAAKhKmAIAAFCVMAUAAKAqYQoAAEBVwhQAAICqhCkAAABVCVMAAACqEqYAAABUJUwBAACoSpgCAABQlTAFAACgKmEKAABAVcIUAACAqoQpAAAAVQlTAAAAqhKmAAAAVCVMAQAAqEqYAgAAUJUwBQAAoCphCgAAQFXCFAAAgKqEKQAAAFUJUwAAAKoSpgAAAFQlTAEAAKhKmAIAAFCVMAUAAKAqYQoAAEBVwhQAAICqhCkAAABVCVMAAACqEqYAAABUJUwBAACoSpgCAABQlTAFAACgKmEKAABAVcIUAACAqoQpAAAAVQlTAAAAqhKmAAAAVCVMAQAAqEqYAgAAUJUwBQAAoCphCgAAQFXCFAAAgKqEKQAAAFUJUwAAAKoSpgAAAFQlTAEAAKhKmAIAAFCVMAUAAKAqYQoAAEBVwhQAAICqhCkAAABVCVMAAACqEqYAAABUJUwBAACoSpgCAABQlTAFAACgKmEKAABAVcIUAACAqoQpAAAAVQlTAAAAqhKmAAAAVCVMAQAAqEqYAgAAUJUwBQAAoCphCgAAQFXCFAAAgKr+f6ch80pHITj3AAAAAElFTkSuQmCC" - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], + "source": [ + "# Close any open figures\n", + "d.plot_close()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "74ddb6bf", + "metadata": {}, + "outputs": [], "source": [ "# Plot Node Elevations\n", "Elevations = d.getNodeElevations()\n", @@ -74,58 +57,22 @@ }, { "cell_type": "code", - "execution_count": 3, - "id": "eeea593d", + "execution_count": null, + "id": "4c0a7e5f", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# Plot Pressure at hour 10\n", - "res = d.getComputedTimeSeries()\n", + "res = d.getComputedHydraulicTimeSeries(['flow', 'pressure'])\n", "d.plot(node_values=res.Pressure[10, :], title='Pressure at hour 10')" ] }, { "cell_type": "code", - "execution_count": 4, - "id": "cd403bb2", + "execution_count": null, + "id": "f931012c", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# Plot Flow at hour 10\n", "d.plot(link_values=res.Flow[10, :])" @@ -133,28 +80,10 @@ }, { "cell_type": "code", - "execution_count": 5, - "id": "5dc786df", + "execution_count": null, + "id": "a0095e6d", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# Plot Pressure at hour 10 with printed values\n", "d.plot(node_values=res.Pressure[10, :], node_text=True)" @@ -162,36 +91,10 @@ }, { "cell_type": "code", - "execution_count": 6, - "id": "4430d101", + "execution_count": null, + "id": "18c7d378", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\mkiri\\anaconda3\\envs\\python99\\lib\\site-packages\\IPython\\core\\pylabtools.py:152: UserWarning: constrained_layout not applied because axes sizes collapsed to zero. Try making figure larger or axes decorations smaller.\n", - " fig.canvas.print_figure(bytes_io, **kw)\n" - ] - }, - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# Plot Flow at hour 10 with printed values\n", "d.plot(link_values=res.Flow[11, :], link_text=True)" @@ -199,47 +102,22 @@ }, { "cell_type": "code", - "execution_count": 7, - "id": "7a2215fa", + "execution_count": null, + "id": "8e2049c4", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Close toolkit for the input file \"Net1\". EPANET Toolkit is unloaded.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ "# Unload library\n", - "d.unload()" + "d.unload()\n", + "d.plot_show()" ] } ], "metadata": { - "kernelspec": { - "display_name": "Python 3.10.6 64-bit (windows store)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.6" - }, - "vscode": { - "interpreter": { - "hash": "0df096debc758afc4e07b4a6d7176310e13b87e5b446a84739768769d4d90649" - } + "jupytext": { + "cell_metadata_filter": "-all", + "main_language": "python", + "notebook_metadata_filter": "-all" } }, "nbformat": 4, diff --git a/examples/notebooks/EX6_load_two_inp_files.ipynb b/examples/notebooks/EX6_load_two_inp_files.ipynb index 9c5e76f..06b1187 100644 --- a/examples/notebooks/EX6_load_two_inp_files.ipynb +++ b/examples/notebooks/EX6_load_two_inp_files.ipynb @@ -1,77 +1,44 @@ { "cells": [ { - "cell_type": "markdown", - "id": "6a22a752", + "cell_type": "code", + "execution_count": null, + "id": "802c6558", "metadata": {}, + "outputs": [], "source": [ - "### Loads 2 different networks.\n", + "\"\"\" Loads 2 different networks.\n", " \n", - "This example contains:\n", - "* Load networks.\n", - "* Print elevations for the two networks.\n", - "* Plot networks.\n", - "* Unload libraries." + " This example contains:\n", + " Load networks.\n", + " Print elevations for the two networks.\n", + " Plot networks.\n", + " Unload libraries.\n", + "\"\"\"\n", + "from epyt import epanet" ] }, { "cell_type": "code", - "execution_count": 1, - "id": "e932c811", + "execution_count": null, + "id": "62aab299", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "EPANET version 20200 loaded (EPyT version 1.0.5).\n", - "Input File Net1.inp loaded successfully.\n", - "\n", - "EPANET version 20200 loaded (EPyT version 1.0.5).\n", - "Input File Net2.inp loaded successfully.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ - "from epyt import epanet\n", - "\n", "# Load networks\n", - "d1 = epanet('Net1.inp')\n", - "d2 = epanet('Net2.inp')" + "d1 = epanet('Net1.inp', ph=True)\n", + "d2 = epanet('Net2.inp', ph=True)\n", + "#\n", + "# Close any open figures\n", + "d1.plot_close()" ] }, { "cell_type": "code", - "execution_count": 2, - "id": "5d23af35", + "execution_count": null, + "id": "0837b2ce", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Net1 - Elevations:\n", - "------------------\n", - "[710. 710. 700. 695. 700. 695. 690. 700. 710. 800. 850.]\n", - "Net2 - Elevations:\n", - "------------------\n", - "[ 50. 100. 60. 60. 100. 125. 160. 110. 180. 130. 185. 210. 210. 200.\n", - " 190. 150. 180. 100. 150. 170. 150. 200. 230. 190. 230. 130. 110. 110.\n", - " 130. 190. 110. 180. 190. 110. 110. 235.]\n", - "Net1 - New Elevations:\n", - "------------------\n", - "[750.22 710. 700. 695. 700. 695. 690. 700. 710. 800.\n", - " 850. ]\n", - "Net2 - New Elevations:\n", - "------------------\n", - "[ 50. 200.33 60. 60. 100. 125. 160. 110. 180. 130.\n", - " 185. 210. 210. 200. 190. 150. 180. 100. 150. 170.\n", - " 150. 200. 230. 190. 230. 130. 110. 110. 130. 190.\n", - " 110. 180. 190. 110. 110. 235. ]\n" - ] - } - ], + "outputs": [], "source": [ "# Print elevations for the two networks.\n", "print('Net1 - Elevations:')\n", @@ -79,327 +46,63 @@ "print(d1.getNodeElevations())\n", "print('Net2 - Elevations:')\n", "print('------------------')\n", - "print(d2.getNodeElevations())\n", - "\n", - "# Set new elavations and print them.\n", + "print(d2.getNodeElevations())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f962d0c9", + "metadata": {}, + "outputs": [], + "source": [ "d1.setNodeElevations(1, 750.22)\n", - "d2.setNodeElevations(2, 200.33)\n", - "\n", - "print('Net1 - New Elevations:')\n", + "d2.setNodeElevations(2, 200.33)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "116ce3b6", + "metadata": {}, + "outputs": [], + "source": [ + "print('Net1 - Elevations:')\n", "print('------------------')\n", "print(d1.getNodeElevations())\n", - "print('Net2 - New Elevations:')\n", + "print('Net2 - Elevations:')\n", "print('------------------')\n", "print(d2.getNodeElevations())" ] }, { "cell_type": "code", - "execution_count": 3, - "id": "a17d7d97", + "execution_count": null, + "id": "c2ea8edf", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Net1 - Computed Time Series Values:\n", - "-----------------------------------\n", - "Flow: [[ 1.86617578e+03 1.23420715e+03 1.29335144e+02 1.91158127e+02\n", - " 1.20664871e+02 4.08105202e+01 -7.66175842e+02 4.81968628e+02\n", - " 1.88696213e+02 2.93351345e+01 1.40810516e+02 5.91894798e+01\n", - " 1.86617578e+03]\n", - " [ 1.84858118e+03 1.22042737e+03 1.30111618e+02 1.87689301e+02\n", - " 1.19888397e+02 4.04644890e+01 -7.48581116e+02 4.78153778e+02\n", - " 1.91734589e+02 3.01116085e+01 1.40464493e+02 5.95355148e+01\n", - " 1.84858118e+03]\n", - " [ 1.83746094e+03 1.16440002e+03 1.72960251e+02 1.50844070e+02\n", - " 1.27039757e+02 4.22169495e+01 -5.17461121e+02 4.93061035e+02\n", - " 2.93978760e+02 5.29602432e+01 1.62216949e+02 7.77830505e+01\n", - " 1.83746094e+03]\n", - " [ 1.82538318e+03 1.15481750e+03 1.73490387e+02 1.48513306e+02\n", - " 1.26509613e+02 4.20523720e+01 -5.05383179e+02 4.90565674e+02\n", - " 2.95943939e+02 5.34903831e+01 1.62052383e+02 7.79476242e+01\n", - " 1.82538318e+03]\n", - " [ 1.81985510e+03 1.10006348e+03 2.15822189e+02 1.14267059e+02\n", - " 1.34177826e+02 4.55246773e+01 -2.79855194e+02 5.09791718e+02\n", - " 3.94386078e+02 7.58221817e+01 1.85524673e+02 9.44753189e+01\n", - " 1.81985510e+03]\n", - " [ 1.81325159e+03 1.09475903e+03 2.16103333e+02 1.13028824e+02\n", - " 1.33896667e+02 4.54637070e+01 -2.73251556e+02 5.08492523e+02\n", - " 3.95404144e+02 7.61033401e+01 1.85463699e+02 9.45362930e+01\n", - " 1.81325159e+03]\n", - " [ 1.81312866e+03 1.04178540e+03 2.57806091e+02 8.13540268e+01\n", - " 1.42193909e+02 4.99893150e+01 -5.31287231e+01 5.31343384e+02\n", - " 4.90850586e+02 9.78060913e+01 2.09989319e+02 1.10010689e+02\n", - " 1.81312866e+03]\n", - " [ 1.81186853e+03 1.04076172e+03 2.57857880e+02 8.11250534e+01\n", - " 1.42142105e+02 4.99817047e+01 -5.18684883e+01 5.31106750e+02\n", - " 4.91035339e+02 9.78578949e+01 2.09981705e+02 1.10018295e+02\n", - " 1.81186853e+03]\n", - " [ 1.80428821e+03 1.08755603e+03 2.16484344e+02 1.11350204e+02\n", - " 1.33515656e+02 4.53819466e+01 -2.64288177e+02 5.06732147e+02\n", - " 3.96783508e+02 7.64843445e+01 1.85381958e+02 9.46180496e+01\n", - " 1.80428821e+03]\n", - " [ 1.79799878e+03 1.08250110e+03 2.16751755e+02 1.10172569e+02\n", - " 1.33248260e+02 4.53252106e+01 -2.57998840e+02 5.05497803e+02\n", - " 3.97750488e+02 7.67517471e+01 1.85325211e+02 9.46747894e+01\n", - " 1.79799878e+03]\n", - " [ 1.78547815e+03 1.12312402e+03 1.75238297e+02 1.40829041e+02\n", - " 1.24761711e+02 4.15250931e+01 -4.65478210e+02 4.82354126e+02\n", - " 3.02407562e+02 5.52382965e+01 1.61525101e+02 7.84749069e+01\n", - " 1.78547815e+03]\n", - " [ 1.77430359e+03 1.11424060e+03 1.75727188e+02 1.38681213e+02\n", - " 1.24272804e+02 4.13817749e+01 -4.54303589e+02 4.80062988e+02\n", - " 3.04209808e+02 5.57271957e+01 1.61381775e+02 7.86182251e+01\n", - " 1.77430359e+03]\n", - " [ 1.75703552e+03 1.14859656e+03 1.34160172e+02 1.69686356e+02\n", - " 1.15839821e+02 3.87526398e+01 -6.57035583e+02 4.58438965e+02\n", - " 2.07400833e+02 3.41601791e+01 1.38752640e+02 6.12473602e+01\n", - " 1.75703552e+03]\n", - " [-8.38100503e-04 -3.58364868e+02 1.88567505e+02 -7.03036957e+01\n", - " 6.14324875e+01 2.86677284e+01 1.10000085e+03 2.08364029e+02\n", - " 4.03068451e+02 8.85675125e+01 1.28667740e+02 7.13322678e+01\n", - " 0.00000000e+00]\n", - " [-8.22614296e-04 -2.86692017e+02 1.50854019e+02 -5.62429733e+01\n", - " 4.91459846e+01 2.29341812e+01 8.80000793e+02 1.66691208e+02\n", - " 3.22454773e+02 7.08540192e+01 1.02934181e+02 5.70658188e+01\n", - " 0.00000000e+00]\n", - " [-8.05466261e-04 -2.86692017e+02 1.50854019e+02 -5.62429733e+01\n", - " 4.91459846e+01 2.29341812e+01 8.80000793e+02 1.66691208e+02\n", - " 3.22454773e+02 7.08540115e+01 1.02934181e+02 5.70658188e+01\n", - " 0.00000000e+00]\n", - " [-7.90919701e-04 -2.15019165e+02 1.13140511e+02 -4.21822586e+01\n", - " 3.68594856e+01 1.72006359e+01 6.60000793e+02 1.25018387e+02\n", - " 2.41841110e+02 5.31405182e+01 7.72006302e+01 4.27993660e+01\n", - " 0.00000000e+00]\n", - " [-7.79637659e-04 -2.15019150e+02 1.13140511e+02 -4.21822548e+01\n", - " 3.68594856e+01 1.72006359e+01 6.60000793e+02 1.25018387e+02\n", - " 2.41841110e+02 5.31405182e+01 7.72006302e+01 4.27993660e+01\n", - " 0.00000000e+00]\n", - " [-7.69727514e-04 -1.43346329e+02 7.54270172e+01 -2.81215382e+01\n", - " 2.45729828e+01 1.14670887e+01 4.40000763e+02 8.33455582e+01\n", - " 1.61227432e+02 3.54270210e+01 5.14670906e+01 2.85329132e+01\n", - " 0.00000000e+00]\n", - " [-7.58181151e-04 -1.43346313e+02 7.54270172e+01 -2.81215343e+01\n", - " 2.45729828e+01 1.14670887e+01 4.40000763e+02 8.33455582e+01\n", - " 1.61227432e+02 3.54270210e+01 5.14670906e+01 2.85329132e+01\n", - " 0.00000000e+00]\n", - " [-7.49712810e-04 -2.15019135e+02 1.13140511e+02 -4.21822510e+01\n", - " 3.68594856e+01 1.72006359e+01 6.60000732e+02 1.25018387e+02\n", - " 2.41841110e+02 5.31405182e+01 7.72006302e+01 4.27993660e+01\n", - " 0.00000000e+00]\n", - " [-7.36219052e-04 -2.15019119e+02 1.13140511e+02 -4.21822472e+01\n", - " 3.68594856e+01 1.72006359e+01 6.60000732e+02 1.25018387e+02\n", - " 2.41841110e+02 5.31405144e+01 7.72006302e+01 4.27993660e+01\n", - " 0.00000000e+00]\n", - " [-7.20554555e-04 -2.86691925e+02 1.50854019e+02 -5.62429657e+01\n", - " 4.91459885e+01 2.29341831e+01 8.80000671e+02 1.66691223e+02\n", - " 3.22454773e+02 7.08540115e+01 1.02934181e+02 5.70658188e+01\n", - " 0.00000000e+00]\n", - " [ 1.90942456e+03 1.31099438e+03 8.59124527e+01 2.35691315e+02\n", - " 1.14087532e+02 4.27390022e+01 -1.02942456e+03 4.78430298e+02\n", - " 7.56572189e+01 5.91245890e+00 1.22738998e+02 3.72609978e+01\n", - " 1.90942456e+03]\n", - " [ 1.89224329e+03 1.25460803e+03 1.28186249e+02 1.96302017e+02\n", - " 1.21813751e+02 4.13331680e+01 -7.92243225e+02 4.87635223e+02\n", - " 1.84178558e+02 2.81862450e+01 1.41333176e+02 5.86668282e+01\n", - " 1.89224329e+03]]\n", - "Velocity: [[2.35286665e+00 2.57230067e+00 5.28331280e-01 7.80876815e-01\n", - " 3.42300951e-01 4.63083595e-01 9.65991259e-01 1.96883142e+00\n", - " 5.35291612e-01 1.87239662e-01 8.98762405e-01 6.71632588e-01\n", - " 0.00000000e+00]\n", - " [2.33068347e+00 2.54358149e+00 5.31503141e-01 7.66706765e-01\n", - " 3.40098262e-01 4.59157109e-01 9.43807960e-01 1.95324790e+00\n", - " 5.43910861e-01 1.92195743e-01 8.96553755e-01 6.75559163e-01\n", - " 0.00000000e+00]\n", - " [2.31666303e+00 2.42681074e+00 7.06538856e-01 6.16194725e-01\n", - " 3.60385180e-01 4.79042560e-01 6.52412772e-01 2.01414371e+00\n", - " 8.33956182e-01 3.38033497e-01 1.03539491e+00 8.82616937e-01\n", - " 0.00000000e+00]\n", - " [2.30143547e+00 2.40683913e+00 7.08704472e-01 6.06673658e-01\n", - " 3.58881295e-01 4.77175087e-01 6.37185037e-01 2.00395012e+00\n", - " 8.39530945e-01 3.41417283e-01 1.03434443e+00 8.84484351e-01\n", - " 0.00000000e+00]\n", - " [2.29446578e+00 2.29272223e+00 8.81628990e-01 4.66778457e-01\n", - " 3.80634367e-01 5.16575873e-01 3.52840245e-01 2.08248806e+00\n", - " 1.11879063e+00 4.83956218e-01 1.18416297e+00 1.07202685e+00\n", - " 0.00000000e+00]\n", - " [2.28613997e+00 2.28166676e+00 8.82777452e-01 4.61720288e-01\n", - " 3.79836798e-01 5.15884101e-01 3.44514400e-01 2.07718086e+00\n", - " 1.12167871e+00 4.85750765e-01 1.18377376e+00 1.07271862e+00\n", - " 0.00000000e+00]\n", - " [2.28598499e+00 2.17126060e+00 1.05313230e+00 3.32329452e-01\n", - " 4.03374344e-01 5.67236841e-01 6.69844672e-02 2.17052603e+00\n", - " 1.39244032e+00 6.24274611e-01 1.34031534e+00 1.24830914e+00\n", - " 0.00000000e+00]\n", - " [2.28439617e+00 2.16912723e+00 1.05334389e+00 3.31394076e-01\n", - " 4.03227389e-01 5.67150533e-01 6.53955713e-02 2.16955972e+00\n", - " 1.39296436e+00 6.24605298e-01 1.34026670e+00 1.24839544e+00\n", - " 0.00000000e+00]\n", - " [2.27483892e+00 2.26665473e+00 8.84333909e-01 4.54863161e-01\n", - " 3.78755957e-01 5.14956295e-01 3.33213419e-01 2.06998992e+00\n", - " 1.12559175e+00 4.88182634e-01 1.18325198e+00 1.07364643e+00\n", - " 0.00000000e+00]\n", - " [2.26690936e+00 2.25611901e+00 8.85426223e-01 4.50052559e-01\n", - " 3.77997398e-01 5.14312506e-01 3.25283855e-01 2.06494761e+00\n", - " 1.12833476e+00 4.89889413e-01 1.18288982e+00 1.07429016e+00\n", - " 0.00000000e+00]\n", - " [2.25112343e+00 2.34078455e+00 7.15844631e-01 5.75283587e-01\n", - " 3.53922844e-01 4.71191972e-01 5.86872995e-01 1.97040617e+00\n", - " 8.57866883e-01 3.52573842e-01 1.03097892e+00 8.90467465e-01\n", - " 0.00000000e+00]\n", - " [2.23703456e+00 2.32226992e+00 7.17841804e-01 5.66509783e-01\n", - " 3.52535933e-01 4.69565719e-01 5.72784066e-01 1.96104693e+00\n", - " 8.62979531e-01 3.55694354e-01 1.03006411e+00 8.92093718e-01\n", - " 0.00000000e+00]\n", - " [2.21526313e+00 2.39387345e+00 5.48041403e-01 6.93165064e-01\n", - " 3.28613311e-01 4.39732462e-01 8.28387678e-01 1.87271333e+00\n", - " 5.88352740e-01 2.18036860e-01 8.85627449e-01 6.94983721e-01\n", - " 0.00000000e+00]\n", - " [1.05667357e-06 7.46894300e-01 7.70294189e-01 2.87189066e-01\n", - " 1.74271107e-01 3.25297356e-01 1.38687646e+00 8.51162553e-01\n", - " 1.14342082e+00 5.65306842e-01 8.21257651e-01 8.09418857e-01\n", - " 0.00000000e+00]\n", - " [1.03714865e-06 5.97515643e-01 6.16235375e-01 2.29751334e-01\n", - " 1.39416859e-01 2.60237873e-01 1.10950136e+00 6.80929959e-01\n", - " 9.14736629e-01 4.52245533e-01 6.57006085e-01 6.47535086e-01\n", - " 0.00000000e+00]\n", - " [1.01552848e-06 5.97515643e-01 6.16235375e-01 2.29751334e-01\n", - " 1.39416859e-01 2.60237873e-01 1.10950136e+00 6.80929959e-01\n", - " 9.14736629e-01 4.52245474e-01 6.57006085e-01 6.47535086e-01\n", - " 0.00000000e+00]\n", - " [9.97188295e-07 4.48137075e-01 4.62176561e-01 1.72313616e-01\n", - " 1.04562633e-01 1.95178404e-01 8.32126260e-01 5.10697424e-01\n", - " 6.86052561e-01 3.39184165e-01 4.92754549e-01 4.85651344e-01\n", - " 0.00000000e+00]\n", - " [9.82963911e-07 4.48137045e-01 4.62176561e-01 1.72313601e-01\n", - " 1.04562633e-01 1.95178404e-01 8.32126260e-01 5.10697424e-01\n", - " 6.86052561e-01 3.39184165e-01 4.92754549e-01 4.85651344e-01\n", - " 0.00000000e+00]\n", - " [9.70469273e-07 2.98758507e-01 3.08117718e-01 1.14875875e-01\n", - " 6.97083995e-02 1.30118921e-01 5.54751158e-01 3.40464801e-01\n", - " 4.57368433e-01 2.26122826e-01 3.28503042e-01 3.23767573e-01\n", - " 0.00000000e+00]\n", - " [9.55911673e-07 2.98758477e-01 3.08117718e-01 1.14875861e-01\n", - " 6.97083995e-02 1.30118921e-01 5.54751098e-01 3.40464801e-01\n", - " 4.57368433e-01 2.26122826e-01 3.28503042e-01 3.23767573e-01\n", - " 0.00000000e+00]\n", - " [9.45234774e-07 4.48136985e-01 4.62176561e-01 1.72313586e-01\n", - " 1.04562633e-01 1.95178404e-01 8.32126141e-01 5.10697424e-01\n", - " 6.86052561e-01 3.39184165e-01 4.92754549e-01 4.85651344e-01\n", - " 0.00000000e+00]\n", - " [9.28221880e-07 4.48136955e-01 4.62176561e-01 1.72313571e-01\n", - " 1.04562633e-01 1.95178404e-01 8.32126141e-01 5.10697424e-01\n", - " 6.86052561e-01 3.39184135e-01 4.92754549e-01 4.85651344e-01\n", - " 0.00000000e+00]\n", - " [9.08472202e-07 5.97515464e-01 6.16235375e-01 2.29751304e-01\n", - " 1.39416873e-01 2.60237902e-01 1.10950124e+00 6.80930018e-01\n", - " 9.14736629e-01 4.52245474e-01 6.57006085e-01 6.47535086e-01\n", - " 0.00000000e+00]\n", - " [2.40739441e+00 2.73233867e+00 3.50950539e-01 9.62793946e-01\n", - " 3.23642433e-01 4.84966397e-01 1.29789424e+00 1.95437741e+00\n", - " 2.14623690e-01 3.77379172e-02 7.83415854e-01 4.22806591e-01\n", - " 0.00000000e+00]\n", - " [2.38573241e+00 2.61481977e+00 5.23638010e-01 8.01889479e-01\n", - " 3.45560104e-01 4.69014168e-01 9.98856902e-01 1.99197936e+00\n", - " 5.22476017e-01 1.79906562e-01 9.02098358e-01 6.65702045e-01\n", - " 0.00000000e+00]]\n", - "\n", - "Net2 - Computed Time Series Values:\n", - "-----------------------------------\n", - "Flow: [[6.66624023e+02 5.48364197e+02 1.08179810e+02 ... 3.77999997e+00\n", - " 1.31340766e+00 1.25999999e+00]\n", - " [6.66624023e+02 5.51148132e+02 1.07155891e+02 ... 3.12000012e+00\n", - " 7.50624835e-01 1.04000008e+00]\n", - " [6.66624023e+02 5.52038452e+02 1.06825554e+02 ... 2.90999985e+00\n", - " 7.00101912e-01 9.70000029e-01]\n", - " ...\n", - " [6.38847961e+02 5.30562988e+02 1.01805016e+02 ... 2.43000007e+00\n", - " 5.84621191e-01 8.10000002e-01]\n", - " [6.38847961e+02 5.30562988e+02 1.01805016e+02 ... 2.43000007e+00\n", - " 5.84621191e-01 8.10000002e-01]\n", - " [6.66624023e+02 5.48364197e+02 1.08179810e+02 ... 3.77999997e+00\n", - " 9.09410715e-01 1.25999999e+00]]\n", - "Velocity: [[1.89107263 1.55559444 0.69048774 ... 0.0241269 0.00838319 0.0080423 ]\n", - " [1.89107263 1.56349182 0.68395233 ... 0.01991427 0.00479107 0.00663809]\n", - " [1.89107263 1.56601739 0.68184388 ... 0.01857389 0.0044686 0.0061913 ]\n", - " ...\n", - " [1.81227791 1.50509608 0.64979887 ... 0.01551015 0.00373151 0.00517005]\n", - " [1.81227791 1.50509608 0.64979887 ... 0.01551015 0.00373151 0.00517005]\n", - " [1.89107263 1.55559444 0.69048774 ... 0.0241269 0.00580457 0.0080423 ]]\n" - ] - } - ], + "outputs": [], "source": [ - "# Print computed values for the two networks.\n", - "print('Net1 - Computed Time Series Values:')\n", - "print('-----------------------------------')\n", - "d1_comp_vals = d1.getComputedTimeSeries()\n", - "print(f'Flow: {d1_comp_vals.Flow}')\n", - "print(f'Velocity: {d1_comp_vals.Velocity}')\n", - "print('\\nNet2 - Computed Time Series Values:')\n", - "print('-----------------------------------')\n", - "d2_comp_vals = d2.getComputedTimeSeries()\n", - "print(f'Flow: {d2_comp_vals.Flow}')\n", - "print(f'Velocity: {d2_comp_vals.Velocity}')" + "# Plot networks.\n", + "d1.plot()\n", + "d2.plot()" ] }, { "cell_type": "code", - "execution_count": 4, - "id": "fc7499cb", + "execution_count": null, + "id": "5bb2fb98", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "# Plot networks.\n", - "d1.plot()\n", - "d2.plot()" + "d1.plot_show()" ] }, { "cell_type": "code", - "execution_count": 5, - "id": "201ffda3", + "execution_count": null, + "id": "cb7e3d75", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Close toolkit for the input file \"Net1\". EPANET Toolkit is unloaded.\n", - "\n", - "Close toolkit for the input file \"Net2\". EPANET Toolkit is unloaded.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ "# Unload libraries.\n", "d1.unload()\n", @@ -408,27 +111,10 @@ } ], "metadata": { - "kernelspec": { - "display_name": "Python 3.10.6 64-bit (windows store)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.6" - }, - "vscode": { - "interpreter": { - "hash": "0df096debc758afc4e07b4a6d7176310e13b87e5b446a84739768769d4d90649" - } + "jupytext": { + "cell_metadata_filter": "-all", + "main_language": "python", + "notebook_metadata_filter": "-all" } }, "nbformat": 4, diff --git a/examples/notebooks/EX7_Set_Pump_Curves.ipynb b/examples/notebooks/EX7_Set_Pump_Curves.ipynb index 3a8edb3..c7d20a7 100644 --- a/examples/notebooks/EX7_Set_Pump_Curves.ipynb +++ b/examples/notebooks/EX7_Set_Pump_Curves.ipynb @@ -1,110 +1,137 @@ { "cells": [ { - "cell_type": "markdown", - "id": "2f55f5a5", + "cell_type": "code", + "execution_count": null, + "id": "728766be", "metadata": {}, + "outputs": [], "source": [ - "### This example gets Hydraulic & Quality Time Series using binary file. \n", + "\"\"\" This example gets Hydraulic & Quality Time Series using ENepanet binary file. \n", "\n", - "This example contains:\n", - "* Load a network.\n", - "* Computed Hydraulic & Quality Time Series using binary file.\n", - "* Plot pressures.\n", - "* Get head curve.\n", - "* Set new head curve values.\n", - "* Computed hydraulics.\n", - "* Unload library." + " Sets pump curves.\n", + " This example contains:\n", + " Load a network.\n", + " Computed Hydraulic & Quality Time Series using binary file.\n", + " Plot pressures.\n", + " Get head curve.\n", + " Set new head curve values.\n", + " Computed hydraulics.\n", + " Unload library.\n", + "\"\"\"\n", + "import matplotlib.pyplot as plt\n", + "from epyt import epanet" ] }, { "cell_type": "code", - "execution_count": 1, - "id": "046453b2", + "execution_count": null, + "id": "de6af813", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "EPANET version 20200 loaded (EPyT version 1.0.5).\n", - "Input File Net1.inp loaded successfully.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ - "import matplotlib.pyplot as plt\n", - "from epyt import epanet\n", - "\n", - "# Load network\n", + "# Close any open figures\n", + "plt.close(\"all\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e9694c0e", + "metadata": {}, + "outputs": [], + "source": [ + "# Load a network.\n", "d = epanet('Net1.inp')" ] }, { "cell_type": "code", - "execution_count": 2, - "id": "174b7082", + "execution_count": null, + "id": "411fed0c", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# Computed Hydraulic & Quality Time Series using binary file.\n", - "Results = d.getComputedTimeSeries()\n", - "\n", + "Results = d.getComputedTimeSeries_ENepanet()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6663fc45", + "metadata": {}, + "outputs": [], + "source": [ "nodeID = '10'\n", - "indexNode = d.getNodeIndex(nodeID)\n", - "\n", + "indexNode = d.getNodeIndex(nodeID)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "30dc2f6b", + "metadata": {}, + "outputs": [], + "source": [ "# Plot pressures.\n", "fig, axs = plt.subplots(2)\n", - "axs[0].plot(Results.Time, Results.Pressure[:, indexNode-1], linewidth=0.8)\n", + "axs[0].plot(Results.Time, Results.Pressure[:, indexNode - 1], linewidth=0.8)\n", "axs[0].set_title('Before set curve', fontsize=10)\n", "axs[0].label_outer()\n", "axs[0].set_ylabel(f'Pressure ({d.units.NodePressureUnits})', fontsize=5)\n", - "axs[0].tick_params(axis='y', labelsize=4)\n", - "\n", + "axs[0].tick_params(axis='y', labelsize=4)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "65cb1c20", + "metadata": {}, + "outputs": [], + "source": [ "# Get head curve.\n", - "headCurve, pumpIndex = d.getLinkPumpHeadCurveIndex()\n", - "\n", + "headCurve, pumpIndex = d.getLinkPumpHeadCurveIndex()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e5e0aa9f", + "metadata": {}, + "outputs": [], + "source": [ "# Set new head curve values.\n", "d.setCurve(headCurve, [2000, 250])\n", "pumpIndex = d.getLinkPumpIndex()[0]\n", "c_index = d.getCurveIndex()\n", - "d.setLinkPumpHeadCurveIndex(pumpIndex, headCurve)\n", - "\n", + "d.setLinkPumpHeadCurveIndex(pumpIndex, headCurve)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a8305c20", + "metadata": {}, + "outputs": [], + "source": [ "# Computed hydraulics.\n", "Results = d.getComputedTimeSeries()\n", - "axs[1].plot(Results.Time, Results.Pressure[:, indexNode-1], linewidth=0.8)\n", + "axs[1].plot(Results.Time, Results.Pressure[:, indexNode - 1], linewidth=0.8)\n", "axs[1].set_title('After set curve', fontsize=10)\n", "axs[1].set_xlabel('Time (hrs)', fontsize=6)\n", "axs[1].set_ylabel(f'Pressure ({d.units.NodePressureUnits})', fontsize=5)\n", "axs[1].tick_params(axis='x', labelsize=4)\n", - "axs[1].tick_params(axis='y', labelsize=4)\n" + "axs[1].tick_params(axis='y', labelsize=4)\n", + "plt.show()" ] }, { "cell_type": "code", - "execution_count": 3, - "id": "8db0a8eb", + "execution_count": null, + "id": "da558112", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Close toolkit for the input file \"Net1\". EPANET Toolkit is unloaded.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ "# Unload library.\n", "d.unload()" @@ -112,27 +139,10 @@ } ], "metadata": { - "kernelspec": { - "display_name": "Python 3.10.6 64-bit (windows store)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.6" - }, - "vscode": { - "interpreter": { - "hash": "0df096debc758afc4e07b4a6d7176310e13b87e5b446a84739768769d4d90649" - } + "jupytext": { + "cell_metadata_filter": "-all", + "main_language": "python", + "notebook_metadata_filter": "-all" } }, "nbformat": 4, diff --git a/examples/notebooks/EX9_compare_simulations.ipynb b/examples/notebooks/EX9_compare_simulations.ipynb index cd26bf0..a319139 100644 --- a/examples/notebooks/EX9_compare_simulations.ipynb +++ b/examples/notebooks/EX9_compare_simulations.ipynb @@ -1,77 +1,132 @@ { "cells": [ { - "cell_type": "markdown", - "id": "55ace9a2", + "cell_type": "code", + "execution_count": null, + "id": "9a2c2705", "metadata": {}, + "outputs": [], "source": [ - "### Compares hydraulics and quality analysis functions.\n", - "This example contains:\n", - "* Load a network.\n", - "* Set simulation duration.\n", - "* Test hydraulics and quality analysis functions.\n", - "* Step by step hydraulic analysis.\n", - "* Step by step quality analysis.\n", - "* Unload library.\n", - "* Run time d.getComputedTimeSeries." + "\"\"\" Compares hydraulics and quality analysis functions.\n", + "\n", + " This example contains:\n", + " Load a network.\n", + " Set simulation duration.\n", + " Test hydraulics and quality analysis functions.\n", + " Step by step hydraulic analysis.\n", + " Step by step quality analysis.\n", + " Unload library.\n", + " Run time d.getComputedTimeSeries.\n", + " \n", + "\"\"\"\n", + "import time" ] }, { "cell_type": "code", - "execution_count": 11, - "id": "4ececac4", + "execution_count": null, + "id": "815b3af2", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "EPANET version 20200 loaded (EPyT version 1.0.5).\n", - "Input File Net1.inp loaded successfully.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ - "import time\n", - "from epyt import epanet\n", - "\n", - "# Load network\n", + "from epyt import epanet" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "be4d1e9b", + "metadata": {}, + "outputs": [], + "source": [ + "# Load a network.\n", "d = epanet('Net1.inp')" ] }, { "cell_type": "code", - "execution_count": 12, - "id": "164ec92d", + "execution_count": null, + "id": "838c2ec3", + "metadata": {}, + "outputs": [], + "source": [ + "# Close any open figures\n", + "d.plot_close()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1ac249dd", "metadata": {}, "outputs": [], "source": [ "# Set simulation duration.\n", "hours = 100\n", - "d.setTimeSimulationDuration(hours * 3600)\n", - "\n", + "d.setTimeSimulationDuration(hours * 3600)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "dd2a488e", + "metadata": {}, + "outputs": [], + "source": [ "# Test hydraulics and quality analysis functions.\n", "# Using ENepanet, create and read binary file.\n", "start_results = time.time()\n", "Results = d.getComputedTimeSeries()\n", - "stop_results = time.time()\n", - "\n", + "stop_results = time.time()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "06620460", + "metadata": {}, + "outputs": [], + "source": [ "# Using the functions(ENopenH, ENinit, ENrunH, ENgetnodevalue/&ENgetlinkvalue, ENnextH, ENcloseH).\n", "start_hydraulic = time.time()\n", "Hydraulics = d.getComputedHydraulicTimeSeries()\n", - "stop_hydraulic = time.time()\n", - "\n", + "stop_hydraulic = time.time()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "beb7f739", + "metadata": {}, + "outputs": [], + "source": [ "# ENopenQ, ENinitQ, ENrunQ, ENgetnodevalue/&ENgetlinkvalue, ENstepQ, ENcloseQ\n", "start_quality = time.time()\n", "Quality = d.getComputedQualityTimeSeries()\n", - "stop_quality = time.time()\n", - "\n", + "stop_quality = time.time()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "08ba3d2a", + "metadata": {}, + "outputs": [], + "source": [ "# Pipeindex 4 and nodeindex 6 # start from 0\n", "pipeindex = 4 - 1\n", - "nodeindex = 6 - 1\n", - "\n", + "nodeindex = 6 - 1" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2f8f9dad", + "metadata": {}, + "outputs": [], + "source": [ "# Step by step hydraulic analysis.\n", + "starth_step = time.time()\n", "d.openHydraulicAnalysis()\n", "d.initializeHydraulicAnalysis()\n", "tstep, P, T_H, D, H, F = 1, [], [], [], [], []\n", @@ -81,41 +136,62 @@ " D.append(d.getNodeActualDemand())\n", " H.append(d.getNodeHydraulicHead())\n", " F.append(d.getLinkFlows())\n", - " T_H.append(t/3600)\n", + " T_H.append(t / 3600)\n", " tstep = d.nextHydraulicAnalysisStep()\n", "d.closeHydraulicAnalysis()\n", - "\n", + "stoph_step = time.time()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e35e27ab", + "metadata": {}, + "outputs": [], + "source": [ "# Step by step quality analysis.\n", - "d.setTimeSimulationDuration(86400)\n", - "d.setTimeQualityStep(3600)\n", - "d.solveCompleteHydraulics() \n", + "d.solveCompleteHydraulics()\n", + "startq_step = time.time()\n", "d.openQualityAnalysis()\n", "d.initializeQualityAnalysis()\n", "tleft, P, T_Q, Q = 1, [], [], []\n", "sim_duration = d.getTimeSimulationDuration()\n", - "while tleft > 0 or t < sim_duration:\n", + "while tleft > 0:\n", " t = d.runQualityAnalysis()\n", " Q.append(d.getNodeActualQuality())\n", - " T_Q.append(t/3600)\n", + " T_Q.append(t / 3600)\n", " tleft = d.stepQualityAnalysisTimeLeft()\n", - "d.closeQualityAnalysis()" + "d.closeQualityAnalysis()\n", + "stopq_step = time.time()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2a683799", + "metadata": {}, + "outputs": [], + "source": [ + "# Using API functions\n", + "start_api = time.time()\n", + "d.api.ENopenH()\n", + "d.api.ENinitH(d.ToolkitConstants.EN_NOSAVE)\n", + "tstep, P, T_H, = 1, [], []\n", + "while tstep > 0:\n", + " t = d.api.ENrunH()\n", + " P.append(d.api.ENgetnodevalues(d.ToolkitConstants.EN_PRESSURE))\n", + " T_H.append(t)\n", + " tstep = d.api.ENnextH()\n", + "d.api.ENcloseH()\n", + "stop_api = time.time()" ] }, { "cell_type": "code", - "execution_count": 13, - "id": "665c03a0", + "execution_count": null, + "id": "cc6fe310", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Close toolkit for the input file \"Net1\". EPANET Toolkit is unloaded.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ "# Unload library.\n", "d.unload()" @@ -123,88 +199,51 @@ }, { "cell_type": "code", - "execution_count": 14, - "id": "f180c919", + "execution_count": null, + "id": "b37f23fc", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Simulation duration: 100 hours\n", - "\n", - "Run Time of function d.getComputedTimeSeries: 0.039783 (sec)\n", - "Run Time of function d.getComputedHydraulicTimeSeries: 0.052127 (sec)\n", - "Run Time of function d.getComputedQualityTimeSeries: 0.084972 (sec)\n" - ] - } - ], + "outputs": [], "source": [ "# Run time d.getComputedTimeSeries.\n", "print(f'\\nSimulation duration: {hours} hours\\n')\n", "print(f'Run Time of function d.getComputedTimeSeries: {stop_results - start_results:.5} (sec)')\n", "print(f'Run Time of function d.getComputedHydraulicTimeSeries: {stop_hydraulic - start_hydraulic:.5} (sec)')\n", - "print(f'Run Time of function d.getComputedQualityTimeSeries: {stop_quality - start_quality:.5} (sec)')" + "print(f'Run Time of function d.getComputedQualityTimeSeries: {stop_quality - start_quality:.5} (sec)')\n", + "print(f'Run Time of function step by step Hydraulic: {stoph_step - starth_step:.5} (sec)')\n", + "print(f'Run Time of function step by step Quality: {stopq_step - startq_step:.5} (sec)')\n", + "print(f'Run Time of function API hydraulics: {stop_api - start_api:.5} (sec)')" ] }, { "cell_type": "code", - "execution_count": 15, - "id": "b31556fc", + "execution_count": null, + "id": "48bea894", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "d.plot_ts(X=Results.Time/3600, Y=Results.Flow[:, pipeindex], title='d.getComputedTimeSeries (Ignore events)',\n", + "d.plot_ts(X=Results.Time / 3600, Y=Results.Flow[:, pipeindex], title='d.getComputedTimeSeries (Ignore events)',\n", " xlabel='Time (hrs)', ylabel='Flow (' + d.LinkFlowUnits + ') - Link ID \"' + d.LinkNameID[pipeindex] + '\"',\n", " marker=None, fontsize=8)" ] }, { "cell_type": "code", - "execution_count": 16, - "id": "26cb6fa2", + "execution_count": null, + "id": "b16e6bea", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "d.plot_ts(X=Hydraulics.Time/3600, Y=d.to_array(F)[:, pipeindex], title='d.getComputedHydraulicTimeSeries',\n", + "d.plot_ts(X=Hydraulics.Time / 3600, Y=d.to_array(F)[:, pipeindex], title='d.getComputedHydraulicTimeSeries',\n", " xlabel='Time (hrs)', ylabel='Flow (' + d.LinkFlowUnits + ') - Link ID \"' + d.LinkNameID[pipeindex] + '\"',\n", " marker=None, fontsize=8)" ] }, { "cell_type": "code", - "execution_count": 17, - "id": "ace800a8", + "execution_count": null, + "id": "dc2131bd", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "d.plot_ts(X=T_H, Y=d.to_array(F)[:, pipeindex], title='step by step Hydraulic Analysis',\n", " xlabel='Time (hrs)', ylabel='Flow (' + d.LinkFlowUnits + ') - Link ID \"' + d.LinkNameID[pipeindex] + '\"',\n", @@ -213,90 +252,60 @@ }, { "cell_type": "code", - "execution_count": 18, - "id": "3f0f6d08", + "execution_count": null, + "id": "827d453e", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "d.plot_ts(X=Results.Time/3600, Y=Results.NodeQuality[:, nodeindex], title='d.getComputedTimeSeries (Ignore events)',\n", - " xlabel='Time (hrs)', ylabel='Node Quality (' + d.QualityChemUnits + ') - Node ID \"' + d.NodeNameID[nodeindex] + '\"',\n", + "d.plot_ts(X=Results.Time / 3600, Y=Results.NodeQuality[:, nodeindex], title='d.getComputedTimeSeries (Ignore events)',\n", + " xlabel='Time (hrs)',\n", + " ylabel='Node Quality (' + d.QualityChemUnits + ') - Node ID \"' + d.NodeNameID[nodeindex] + '\"',\n", " marker=None, fontsize=8)" ] }, { "cell_type": "code", - "execution_count": 19, - "id": "4d4a6331", + "execution_count": null, + "id": "6b1be4f7", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "d.plot_ts(X=Quality.Time/3600, Y=Quality.NodeQuality[:, nodeindex], title='d.getComputedQualityTimeSeries',\n", - " xlabel='Time (hrs)', ylabel='Node Quality (' + d.QualityChemUnits + ') - Link ID \"' + d.NodeNameID[nodeindex] + '\"',\n", + "d.plot_ts(X=Quality.Time / 3600, Y=Quality.NodeQuality[:, nodeindex], title='d.getComputedQualityTimeSeries',\n", + " xlabel='Time (hrs)',\n", + " ylabel='Node Quality (' + d.QualityChemUnits + ') - Link ID \"' + d.NodeNameID[nodeindex] + '\"',\n", " marker=None, fontsize=8)" ] }, { "cell_type": "code", - "execution_count": 20, - "id": "3cbdde6e", + "execution_count": null, + "id": "44c1c562", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "d.plot_ts(X=T_Q, Y=d.to_array(Q)[:, pipeindex], title='step by step Quality Analysis',\n", - " xlabel='Time (hrs)', ylabel='Node Quality (' + d.QualityChemUnits + ') - Link ID \"' + d.NodeNameID[nodeindex] + '\"',\n", + " xlabel='Time (hrs)',\n", + " ylabel='Node Quality (' + d.QualityChemUnits + ') - Link ID \"' + d.NodeNameID[nodeindex] + '\"',\n", " marker=None, fontsize=8)" ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0c354b10", + "metadata": {}, + "outputs": [], + "source": [ + "# Show the plots (plt.show())\n", + "d.plot_show()" + ] } ], "metadata": { - "kernelspec": { - "display_name": "Python 3.10.6 64-bit (windows store)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.6" - }, - "vscode": { - "interpreter": { - "hash": "0df096debc758afc4e07b4a6d7176310e13b87e5b446a84739768769d4d90649" - } + "jupytext": { + "cell_metadata_filter": "-all", + "main_language": "python", + "notebook_metadata_filter": "-all" } }, "nbformat": 4, diff --git a/examples/notebooks/EX_MSX_Options.ipynb b/examples/notebooks/EX_MSX_Options.ipynb new file mode 100644 index 0000000..9583926 --- /dev/null +++ b/examples/notebooks/EX_MSX_Options.ipynb @@ -0,0 +1,243 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "0170a30c", + "metadata": {}, + "outputs": [], + "source": [ + "from epyt import epanet, networks" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7a6fc8c1", + "metadata": {}, + "outputs": [], + "source": [ + "# Load example network\n", + "nets = networks.inp_files()\n", + "msx_nets = networks.msx_files()\n", + "d = epanet(nets.example) # example.inp\n", + "d.loadMSXFile(msx_nets.example) # example.msx" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "106b63aa", + "metadata": {}, + "outputs": [], + "source": [ + "a = d.getMSXOptions()\n", + "# AREA_UNITS FT2/M2/CM2\n", + "# RATE_UNITS SEC/MIN/HR/DAY\n", + "# SOLVER EUL/RK5/ROS2\n", + "# COUPLING FULL/NONE\n", + "# TIMESTEP seconds\n", + "# ATOL value\n", + "# RTOL value\n", + "# COMPILER NONE/VC/GC\n", + "# SEGMENTS value\n", + "# PECLET value\n", + "d.printv(d.getMSXTimeStep())\n", + "d.printv(d.getMSXRateUnits())\n", + "d.printv(d.getMSXAreaUnits())\n", + "d.printv(d.getMSXCompiler())\n", + "d.printv(d.getMSXCoupling())\n", + "d.printv(d.getMSXSolver())\n", + "d.printv(d.getMSXAtol())\n", + "d.printv(d.getMSXRtol())\n", + "# d.printv(d.getMSXSegments())\n", + "# d.printv(d.getMSXPeclet())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0e7563d4", + "metadata": {}, + "outputs": [], + "source": [ + "print('after set')\n", + "d.setMSXAreaUnitsCM2()\n", + "d.printv(d.getMSXAreaUnits())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "39df957b", + "metadata": {}, + "outputs": [], + "source": [ + "d.setMSXAreaUnitsFT2()\n", + "d.printv(d.getMSXAreaUnits())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0b2c1626", + "metadata": {}, + "outputs": [], + "source": [ + "d.setMSXAreaUnitsM2()\n", + "d.printv(d.getMSXAreaUnits())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6246cd70", + "metadata": {}, + "outputs": [], + "source": [ + "d.setMSXAtol(0.1)\n", + "d.printv(d.getMSXAtol())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "064a9e2a", + "metadata": {}, + "outputs": [], + "source": [ + "d.setMSXRtol(0.2)\n", + "d.printv(d.getMSXRtol())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b0969bbe", + "metadata": {}, + "outputs": [], + "source": [ + "d.setMSXCompilerGC()\n", + "d.printv(d.getMSXCompiler())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c01a132d", + "metadata": {}, + "outputs": [], + "source": [ + "d.setMSXCompilerVC()\n", + "d.printv(d.getMSXCompiler())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cfe0488c", + "metadata": {}, + "outputs": [], + "source": [ + "d.setMSXCompilerNONE()\n", + "d.printv(d.getMSXCompiler())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c5668c7b", + "metadata": {}, + "outputs": [], + "source": [ + "d.setMSXCouplingFULL()\n", + "d.printv(d.getMSXCoupling())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "159b92df", + "metadata": {}, + "outputs": [], + "source": [ + "d.setMSXCouplingNONE()\n", + "d.printv(d.getMSXCoupling())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "dbdc662e", + "metadata": {}, + "outputs": [], + "source": [ + "d.setMSXTimeStep(100)\n", + "d.printv(d.getMSXTimeStep())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3ad33044", + "metadata": {}, + "outputs": [], + "source": [ + "d.setMSXRateUnitsSEC()\n", + "d.printv(d.getMSXRateUnits())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4a88e91c", + "metadata": {}, + "outputs": [], + "source": [ + "d.setMSXRateUnitsMIN()\n", + "d.printv(d.getMSXRateUnits())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "28ebaa8e", + "metadata": {}, + "outputs": [], + "source": [ + "d.setMSXRateUnitsHR()\n", + "d.printv(d.getMSXRateUnits())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f6d4dd2c", + "metadata": {}, + "outputs": [], + "source": [ + "d.setMSXRateUnitsDAY()\n", + "d.printv(d.getMSXRateUnits())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4f6c3717", + "metadata": {}, + "outputs": [], + "source": [ + "print(d.MSXTempFile)" + ] + } + ], + "metadata": { + "jupytext": { + "cell_metadata_filter": "-all", + "main_language": "python", + "notebook_metadata_filter": "-all" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/notebooks/EX_to_excel_json.ipynb b/examples/notebooks/EX_to_excel_json.ipynb new file mode 100644 index 0000000..ec27e26 --- /dev/null +++ b/examples/notebooks/EX_to_excel_json.ipynb @@ -0,0 +1,234 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "0880b826", + "metadata": {}, + "outputs": [], + "source": [ + "\"\"\" Use/Save results in different formats/types and files.\n", + "\n", + " This example contains:\n", + " Load a network.\n", + " Run complete analysis.\n", + " Display results in console.\n", + " Create variables with the results:\n", + " dict type.\n", + " json obj as str type.\n", + " Save results as:\n", + " .json file: json obj, all results.\n", + " .xlsx file: all results, each attribute in seperate sheet.\n", + " .xlsx file: all results, in a single sheet.\n", + " .xlsx file: selected results, each attribute in seperate sheet.\n", + " .xlsx file: one selected result.\n", + " Unload library.\n", + " \n", + "\"\"\"\n", + "from epyt import epanet" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5a8b461f", + "metadata": {}, + "outputs": [], + "source": [ + "# Load network\n", + "d = epanet(\"Net1.inp\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e56c5d62", + "metadata": {}, + "outputs": [], + "source": [ + "# Run complete analysis\n", + "comp_values = d.getComputedTimeSeries()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9dfcdb62", + "metadata": {}, + "outputs": [], + "source": [ + "# Display all values\n", + "comp_values.disp()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9f9da22a", + "metadata": {}, + "outputs": [], + "source": [ + "\"\"\" ------------------- dict ---------------------------- \"\"\"\n", + "# Create a dict type with all the values\n", + "to_dict_values = comp_values.to_dict()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5a169155", + "metadata": {}, + "outputs": [], + "source": [ + "\"\"\" ------------------- json ---------------------------- \"\"\"\n", + "# Create a str with all the values in json format\n", + "to_json_values = comp_values.to_json()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9323ab13", + "metadata": {}, + "outputs": [], + "source": [ + "# Create a .json file containing all the values\n", + "comp_values.to_json(\"to_json_values_example\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "04d59f03", + "metadata": {}, + "outputs": [], + "source": [ + "\"\"\" ------------------- excel ---------------------------- \"\"\"\n", + "# Create a .xlsx excel file and save all the values of each attribute\n", + "# in seperate sheet\n", + "# comp_values.to_excel(\"to_excel_seperate_values_example\")" + ] + }, + { + "cell_type": "markdown", + "id": "5270867d", + "metadata": {}, + "source": [ + "Create a .xlsx excel file and save all the values in a sheet\n", + "comp_values.to_excel(\"to_excel_all_values_example\", allValues=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ba8dbe57", + "metadata": {}, + "outputs": [], + "source": [ + "# Create a .xlsx excel file and select multiple attributes to be \n", + "# displayed in seperate sheets\n", + "selected_attributes = [\"Pressure\", \"Flow\", \"LinkQuality\"]\n", + "comp_values.to_excel(f\"to_excel_{selected_attributes}_example\",\n", + " attributes=selected_attributes)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e4a876ba", + "metadata": {}, + "outputs": [], + "source": [ + "# Create a .xlsx excel file and select a specific attribute to be displayed \n", + "selected_attribute = \"Pressure\"\n", + "comp_values.to_excel(f\"to_excel_{selected_attribute}_example\",\n", + " attributes=selected_attribute)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f7fb5fe8", + "metadata": {}, + "outputs": [], + "source": [ + "# Retrieve node and link IDs from the network\n", + "nodeid = d.getNodeNameID()\n", + "linkid = d.getLinkNameID()" + ] + }, + { + "cell_type": "markdown", + "id": "890c252a", + "metadata": {}, + "source": [ + "Below are four example scenarios demonstrating how to use comp_values.to_excel()\n", + "with different parameter configurations:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "afa32ee4", + "metadata": {}, + "outputs": [], + "source": [ + "# 1) Scenario 1: Include both index and node/link IDs in the output.\n", + "comp_values.to_excel(\"case1\", node_id_list=nodeid, link_id_list=linkid, both=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5e23ba8d", + "metadata": {}, + "outputs": [], + "source": [ + "# 2) Scenario 2: Include only node/link IDs (no index).\n", + "comp_values.to_excel(\"case2\", node_id_list=nodeid, link_id_list=linkid, both=False)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "343f5a5f", + "metadata": {}, + "outputs": [], + "source": [ + "# 3) Scenario 3: Use the default settings (only index is included).\n", + "comp_values.to_excel(\"case3\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "56437605", + "metadata": {}, + "outputs": [], + "source": [ + "# 4) Scenario 4: Use the default settings but suppress the column headers.\n", + "comp_values.to_excel(\"case4\", header=False)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2098e9c1", + "metadata": {}, + "outputs": [], + "source": [ + "# Unload library\n", + "d.unload()" + ] + } + ], + "metadata": { + "jupytext": { + "cell_metadata_filter": "-all", + "main_language": "python", + "notebook_metadata_filter": "-all" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/notebooks/Net1_pressures.gif b/examples/notebooks/Net1_pressures.gif deleted file mode 100644 index 0db05640751ef60d8c4689f20c19230dce6e14c9..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 396205 zcmdSgRcst#8#d-O+iS*{nQ_g`%oxWUGqV$8?3kG;j+vS5n3-YC%*>22Z}X`Kt=jKz ztF}_rgONs>gPD0p^GeUH`;wKH;o~<6hS7lz0{|cpNFqcw4k8}~Q4EKu1VS`?A=>Y6 zZ+~B&9`5h2FD_1wkG8kB&$l)C7o_IPRxLO~%oBwk6-f{Kca1C8^ja+eo z&$%WhCVqd&W`2m}zKfK-@|U~`6ut?0d|0@Ad=39lwRpF+dAD@@3mr0ttA9rRj#P{+^@yk-OrFxAcXt=v6TP zT{!zgB;!NuH$*%YB9RPvkEMT)pnVIbdJUj_^`m(4CVT!)^5jDFXixB9gMV-N>CP1Q z#t^$Uz&pS{;G3JrjXwRA4(7#Yj5Bq#Qx()>MU*3Xlml7heQDsXBydL@X;TzwT@YcF zA7Pmnevun~ffqQ>2{*(~Y#rMu6Z#?@{VpB(CYkUd755<%_$1^1DEs41*7I7{{X*95 zOxEQ@*6~orZcoN~OU8Uv#$-|2XwKBsR9b&RN_$vJt6xgJTT-P>Lh+Bbwzh%(VPW_g-T3Gnc&RNJ7#P?n6}U-txQNs_@fAo&NH}mM zL0E#=*x0D3sECM&FfcFx0DuC5tRk(YDJiZd&A|$Sfr3B)6wk1Tz<-yR{~dt;{3ZZI z2mlI^Sgtm=HwY1%(O{%DuRjcfN+DCOE`KlzpVM}Iq^@8%j$AU5SiZh+G>Klb++ei6 zX#5w*Y%Ej0p?D&L&+T-5w4r1wM=S_PqR?16Qy`bbXgJnbHdmrnppd2Tr+lG8r@?k( z>`%o~jd6b@iDFabN`v)Wx#4(I)mpRj-dL7mbM;2M=iTYXcyrBGw?7OrsZvYrPJcKy zlM%S3Zf`iAN-f@2yEl`Y8WNN~I)w$1(ROIJdrn*LaymA@CrHmN72HnvSnjDA#FSmJ zRMKNg+u8S^EhslX9@XSxBUxkUj}`fx6jwiO8lQm~#NF?l(EgQKYP8<~O=&=!%5XSb zec~TpXagG}iMQJFE@;qd;`QHTlFvkwEfwUwGALmw*qSkAZR_qNTE%Jxo;A;U5q-W_ zh+RkWJN|sCYByj%nREm6XFtp-{nW$KITylFY_<>C6gV^Qoh$|RgyrySf*bEs8SO_f zDH~bZ2Gu&Uy#xiIY=@57z0_i^@q$PL4uAt$R(FLy8Py`C!<71mL0Eil7J~)pM2*WL~d-)BJ8%k#l24@6uraK>H`q?gkl&9WRG@flGKmrR=FqQXB6?*e1qAK5oJ2hkz1lq2_o>ds^0WU zd1|F!h<_Sia9&_hG%=QTo^2Okjfev}I2KW4qpFq~iW${IQni?PX5oy{1;kDo z*>}VfNQZOz#lTx?dww%=ZrcLRx5Xk#l}MLM82`W9ywU*tSrvaqbC*=Pc*BQgqEiO9a~Y%~hJN;_lUEUH^$Kte8@(-Fw5xjg9)P>G-YiB?G?!qmCe0MrQd1v>X#Q3|ND^RQC9zZCpQ)n>W6k<3Q$ znq{f*oaBNQlOpdhhE4~F1XCL)_zKDq)o7}UCCbG#&C|uD#|u+`NM^vqlxy*7s09%> z7Ua78&YwLdo53j{kOohOzCqQ0{22N@zZQng5H?~{4UTv_ner~>T&%}qp}=ie3!gzP=xYqU6qk@M+g{2*f?)UXbIQhrLfXsNNc+$jTNSm^?qBs~=Q;p~@<^ zmK97W$J;Ll_ot?{EQmO!? zT&N|MPUR{dbv%&>&#B!Q8bf&&JUJOOa%2(xJhR?^+fmqA#93d-i5~V8Cvsug64a1d zvObX&+^pFy&eQsV3$W&-05nE!l5k3+P4FigzQ6WiB`1Ck6=k* zYXtoAg>Mb1veEEJS(fC_BXGdNO`^BOI3fK*zR-E`eXeDFMm=8?rdo=$S86A|t^j~JvCL4=+Cr(s+UgmPq{*=lppK4^h%$KVC zDgQEYs@?vw5F#T6r>zF{x$k9BQwD%l-eYGp4k&IxYf8ifgcuQJ0Gsfd>SH?W%!r79 zs*ICtzHg}-`af|5p{TLtlloY zqncJWLYq4Ovgp}*5UsqSwP<0I!&pgDtU#-JvRQNn(i!XTVEjG6rc`kWQ0dsk&)FN~ zoOHo)?ARkOSsRvAxz&s5*r$iE&5UYJy53ZF9DpDb<7O&uU~tDFUk-S}ZPIP{yyHkr z6+9KB@~sc0^H>ftK9e;0t&_R)M6G6gu0Z8`i&E#Q&e!pUhRN>@_MK(snIPMRnK&kuIuohqdVAB zo+->-H}PzvdsM1k@k(8{X^ban_HUu+F!`D}k4}oQH>o?$gVkKj-(@AjNatAM)LzA5qni zcZ5#J$C4WW-=Ck?A6CZ=-qWA`mp^dX6=m6<;jcf2jw=>l0L7O8yk!^sv;czUfT$)w zX+1Pu<0ph#Xr&%lQ~*AbbD)yHvt=lNu9V6_JCN?lS$~G{ITu~v3B@S*laevo6-Mxt zKM<$q6A}n%;~G_=1vLp^Z|V+6GDckmg)D=RSm`a5{DGUbAsZkhhEmXDZjfndkdE7@ zB=TVEW3&sNPe6a5!c(Y1I8f!u0>Kzb(=$vn9LR%cnN%C%*Ah~C9ipEgXr>dMOpT2+ z4Tx+BkMay*fds%><40U>hdZ$&IeSJVIa?%NPNB(RH)e=W4(Fu3t##Y*n ztkQ|%P5@kjqO8M#BH>ZL5M#`SV7o^mR_QHK#iH|$BlLQaNBKgBp0Fy8qo)B;%rk&_ zofuD(h~=lyEqu%Mv0!H}Hl&_|iXt^f`f?Adxa6p+hasNe7AQcOqkJBJ)Zj>vJOLBrzp7&LcdL z-7AR?@;gbOHA#pevFtj|ZzN7<1{SsqeM&5nvo5wK9J{_HL4yAij&b7FH0ouk1u!0! zs|;0I&JqC>4e^Zo5&)PIix<|xo*0QV9*rhCLHoRd=cp5>N?@5$8n^fqA;u797y!%f z8F|x)t+0~H3>9*dmg+VGSo4qZ_Ox_ZjtTIzMBGmKxr}$=uk1j0KI zUEVzg>jMVYO(eG?e%`YP(8Y<>l^5tnp6RaD>Vco>uMOpMgw<=A>&c0~>tYU&GWWYo zE|O_3Ye_cLOAd2bE)viRZ7kObFRxcT54$ZFqdXUD)e`U2l7!KXNFe~ew1J@^uduwoMWVq4l0ozRl7ypoXKlFx@FGO{K32&F;dr2!_T>Y=6nd8K}k-cpsr zQeUVtABr+XnKBi+Qe3Mtue>sk-ZI(4GIyx*ZxrQHGUaY2G3KVP!bOu?Jy%knF6}<43Mn~nCbd?q+m1Y5z+eMY8y_Lp0m4$FsUn!~# z#j7+esw`zIF~X|!d#iMJs_?8zWcBhb1&a4i3*^%aR)Ln=glZS%?q})FSGKr!3b+sD zF1wMIe+9Ch(~He*tB<{l54=kt3bioEuCJ%=H;m3mM7XH0IOuCx$nC{&g4Ixpu9#;y z1mieF$igJ;IAj?(6yw?Nww6>GAUYo$27MeRJ69T_BHW4^>~SX+MI3Gj6ArHrB|j04 z;48LpJGtnY2WPvJ_!_o!JGSg=E&@}-kwD=m!2(I5685ti#c>z;3hXaY*t+_8Y>Jlp z$i!dmuubedHSOxv^_|QVn?CE8SY?!0AUD_vmKq9L+EfsHXTtVC#`an(bn_{4I{V{r z=IB%584%?dbcPi+julbi=1XK5rC$^?Uj0+CImE{??#wfV$njSOR)!B&)@#vkL5rL< z`~oJgyb6aRMXWL=tO~)Bl8n-%vu2l!vV^swy0exVCWk5_toB#TPCNYWGtAy`%zpjS zKW7$$O!%V}nB!5H6BXZv73-8Us#Ww08x&jT^ov!aYG=kRrq)U~Ang`gih(#{NWCrp zHYBLB?F`FB0FxM!o16$7?v)xH>u2m36QMc(yO-!01@|*F+1ZM^do@#br*ZZ2nGx+p+uE>6~Inh zN&^peNy55=+CK($G6(T=kp#|BJ8}n&iHA&uhFIm1l!ba#JDhOH2OoU8jPYUxe)Q{x z0=Aupc8v!fWxAz^<1H?k|VoXl#QJZJuX`8HWXICYy@es3^U=RNf#RPoX= zrMEQov0ecnneG;thV`w4_njV1p9ZqHqijsiy-Z^mR$&RxZ0OD4y;tF9&0L>O5N}ix zz0W)n&Qey@k{Zq$VNN3F%}Nc=BJIqIA{NEXEE=Bs5FPJhhmILy{`EWlMQ7@^i_k}T>7 zE}B>UvGiRu%~-UpYBJndoElqnCc)N51$_5yPZV5oRA2JQ>I76QK~NU`C+b~=mm~F; zLt|P4vzCRTmZL9PW8asH+m{m^8WRjxDt%Vc9K6yySNhggvXwh>NmjvvtA!UG#lEZA zzgEkYF@J2VGEA)2c8(_tuYF@#YciZ@$y(brSnJrps(D`{d0*^PUhXnn&um{CL7gA# zTvymwpY&ZACfO)Q-k2d-pJ!Q|%i8F$+n9vJY^-h3uJt?mZbZ&9FY<(CmJjAR6NVg>_w%|9{-m|vD1-Azcw^581 z5lMFtp>}Zmu<`tMxD$2=Keo_V*NHcGKnZ{{&`8`mpp1N%H?On z-3zm$iF1vl>1bE|#+|R=Y0NH!n6nF1AT8 zcSSDujV=%UE{`WY1k%vY{m}m!qd%&l-?CoalB3@^UtI&xFKVyOd(gnwSCB50@mv(x z9F$Rilo4kXV9oWw^mQLON-qXV59p@*8oA5)rZfJgvlf}S2DvRBnLG}eG7h;}?Y7An z`HvcMW9@AN2)X|HwhrU24gx^tf&goBfqZdyl|8_U>AUJ}U=_xFh#F$B7-Ep~eIPkv zK<&N%^u7Nzg4z{=-!y{O6oU2?f=~Q|ckP3B54_P9yu&rT=@q;q2*HgU!I})g1%P0m zgW#Bh;ED0q!x_O{?eBLrgm3YGy}IG;a^d}Q;BEZjt)1b6o!~9i;KNnnBURzerk_m7 z;Y~1}6VTy}ui;X!;Ebl>413@*yW#Y6;d0SmbmQT4)Lye=8l)L^)cVOoB|@Pc4Ere5K%U%S5o`o02S)!tx00OZg5+td~GEZaLf z1`Npgoh|--g$$YkLJqxo^-iM(O%3{>Qv0AXhCcoYP3I3y9}j(51AUDSK?gz50Z@-* zP?+RUFQQP`+klTN2%ydc1|g6H#r-<|x<3pVmECwGUc7%GLYmo#*;Hx|GgdbF2N;v1 z5G_%_J#)XeU|4}n#P1D&#VLnD!5y|vEFo1wku8M&E)*1n9O}fQ=JB~fJW9%Dpt1OcR8IOom*AS5$i<7`?ix*=f5c1cpUroo{wuDT(RVYG$ij z)l8?%FO?>U!0PGZhTmVb9>>j2UkE&@!ISguU<{dTw!yRO;Y5~bn2|wF*N=s(jRvcl z&Bu$|{XrOXbR)sr^JR9)IKLGRi;E;0$5J*&s4IaZ^s3)B7Xa3=oAm+8t6Q+_60G#so(lz_z&Z$#`t#q3&w=1!7%77 zS1tW$Y-goGXzYUqW~khgN>r#^(|iTWoM3t?6^=t{GZeu=3@Q}i2UwVBwvYS1DAu;^ z{Am_Q(=_FbRKo}~vTRLDA5gxcG!V#G+=Bz8&)?PpGT4^(!mB&An80f)bCWMdFth({Pd2K2P;fXJ zJ=$;%e|&S-5Xb?%fr!-P9)U>2VxJ5H5O=r9gKK`5xdR9uODsM-ak-k!Pu%;5-{0~1XO!LSg|$PpcJ%|o=z zCb*Z)6-#*5oaa~sYP#VC?dyhV+wB`XGOF8tRFB8DUv?oob=*!W#{GU+)jaHcIINV%JO6^g28Z;*lSMoC0olOL{b(l7Y6F;xLhOUM`ajr*2<$r8heh4b>(I%A zi0enFR^(hqdDDMzDDW3oVxciNtk;jT^%Ez>a!hGaO>nOX?M?8F=Qd0V-mP;+i$LBe zr^S&EcGaXmIo!|4(N*2gD)C<2&#B3>Jj@el8U9)Lf)xH;8_Krx^OB*@_njqU6Y{2I zvm{)T6-#-4?Z)EIRdyD3`i$3$&3)X}u31cmXgXiS(GoGxnF}dCdCEzhTGT*%EX=7$ zp2M-;9%>RZ%@G)M<skrJf0{x6>Ayn;cs3P-<-iEU86Zd4fR@0@$6#R&rqHzymn4NwIFK{X|C}o) zU1gjQWz2<0Fhh^Q+m{gQxlcuoWP>ivft8p%Kusquub@?rmD(7L!0H7VMKeClx&jB& za@UP2J11giopZqpaZh>qK_}-TTF^@w#;M2lK^Ib6z$xegH8rPkO7gcE)FQ^<3puu) zrg2X zC=qn}rem3igQvZ0s8QYrP^u_Da zVX?)9YL7uXqi&v&Ke)3F4`Sx)_$MQ68_J136@^U9 zTGbq`gy{wc<`J!WwrIaH*DTn?t*B-aV$(zws!o$n1eW>T+@~9}xZJFi?H?zbde3NY zqCZXY-=uo^yg1y?%L|{ia{An?lM1(cO#KM0$=OG?{#IhA_P19xug$d7{RUy?o#w0^ z(0B~sw(W7q@(7?}Ie}R@t4x)U*nK5HegL6hW7}_c$ISO>~oECR#0{N`Xn9~W8nz*=!h+Z05SYv#r0Pe)i&PUKkYafiG!?NpT#H?~Q9dn^*pzCp zE3@?c3hPfiaP}PyXk18X4wv)0l->o$*CnNu8P@bKiB*@?qwVY)x}KZNq*a$)F-mUpL`5$&T3%2J&zK7eGKn6Ty!bm9<<9MB-RHz;yba#aTa?VON+h`t+hKm zsq9l8J<3s@#Uw&~IZs5s+z*oEuaDxSNg?rr9DLDG+5J^e#KK#m7#+u-R%GsvwhO>%OGRsV(;n0i|lIT;F)K6lo(JElaf9At4oYcBe&cF2{l1bH= z)lcflC@L)|dVtk-7|3;OE2^Ex`qa?)T+#g+AW$~f4cY0gcon?^_Ebr7*J%ENHs^-@ z!Tl?p4L+Gcub?a;Tr6{zJL{G$8wf%n2AM?Rw+n*M*V{1+7`urGtT=!7BryUj7#RhG z?B_rkF5-@ELbX8lI!bmI!8%t>rf+5yB;VLuPK5}l`t0Y29Dblty)lt#c9NTQ(sI=g zv=s)JF$cjEF-F&ijCY1MRECW+Z>=#$Vt27oiOh_(%u004-STn4wsPCC@N%~DNw%Ko zx31>*3yrggXp&wwvRA!jO8QpiA;a7L@hxTILp$TbsJwqT>!fZV-VwJcMc-0O%m&gfZR<2i@C zN>Zt6g;Xl>pIb)mwEZ@S)~i6ekXT(1n~o2IMq`a8bzY8n`{!?h`9B78C~I}OKpmVs zopuTqnGB z5pZD_KWw&u{m9ghkxeY+;~mLJF6F4VR&o2r1+DH_9Qx0{8{-WGWDAw$8kMhByHkj3 z6wfCd#cQ_q2a-&GsZvkEG7Dze_vi(Q9VYiQ5h;9$7SzdXC(2hbl?0u`ikH~eUcw3? z5eb#oE0_$FSK9YNSa!!8lf*4Eh3Yzb$CHM@ZWXrY;;pudZ}W4)DZKAeeQh|y?Xc6X z!JVDSozO)RBhX6g1(m(YvaI&g{cjRc7$K?00`J@X!mHko_xMIJld#I{L z>o_OX&1W^fiM=Td<`(v7H;NfYNuz=_iq>b*l^8F6j8%n?8R2N+Fn3fC%iw8sm>Fo^ z+iTWV_Ks1FThI4CHO@WX3$^Xe{a9G)xYg|0Ri)YIl_Q+*kg8v%nr5i%gfX0losj6u zlx0bpM;IK2Ad*P>RjM7p$Q_!opwf&Sw}V%(K4WyUq}?g~o6dx_KF{7u?g~sq!3szy ziN=1L(EBV^)c?7-pqqGu_5J2^3hW};clkIJ@!S$0)lR=Ts#!+u%zLO2{wB;vD@FIQL0o$Lr$XY_oY zhiilvR+oQWN#g=6xGsYI(3L#VI{PO11y@REK~B$V8u+fY8P(z~r3C8W8_7}|otPg1PapNKqiq;W%+pTM=uX2;Bnhi;Gj62Ni2nLM zvtTjta5u6PGC`EJ5n67T-D!9|W|(`Ry!n|tpIf^?nPEqH)xuD$SX$8fvyqL(U^9~f zldyt)=jw@YljDWp<$#e(OcT4Zc>md^={n;b%2$hMAwuRYKHoL|82#stA)$~hcG^Af zq%BBS{+8$hZ@YP4x35GHi2)3^frtJ4##-OtyYQrdu|m#2h%480s_;{-Xj~kS5 zf`y;8)z?k-95fC({v2d!Q^Zc949rqp_EdICvn>qLhSpx8tkLrzsEQ8}S5mZidjC}x zcR7N?(0t63;(zMGb#OmUE?etX~i zbgsaxJ;m#=<|+O4N$ac4hxm`q!(6;m`=+lvA5)HaYTuG2An)V-ReP>od(iIF-?Ep# z#~KU|=y-1GAoA>krT5V<41SQRC;9GY=zpHG(8WWwUPxY8EczT2YAB;*ZTQ(FG<6{P zhqWS#UX|iOWYI!ETk3 zWrn+EQ^?Ytuc|=IVQZGUhT|=g zOIt*WEOx_77g;R!UheF3pCh513^Xk=S=h7u89X;I9X%X0hS#TO{lYnTZU(=Vt}-?0 zxAd4i=XGH-`(e{AeF5k3b-`#)%)x94&7kOV+!@|jhUN&)cUh=O7Pfjm^4)B!*r1Ab zAN4^;Ez4LM&rXv@T}yi9&~gD+dSgCV7e7UJ>5pSZieX5xVLRTzSKl3t)Z^<-scs%I zVn>V2WbWA118WPXfnq(%CcPx1vEiXXC&QCbJj-`H)yn%#MwvqH8YAm0HXDAC5P^mX6nF+wwU# zzhV{?r}mfTZ(1i;Lb^op;2+A7Z^KEoDcSV4X|8s-uf7<4r*-;H_iGk%NMf2;{4iAQ z%Bp-aGU;l#R_{-fX^a42SW8r&4Cl(rcea>YWKqdW9Wd%OiV znF2m}v9P+a`dMa^I#`sb&RISWcqsnjJzb1_E^KnM%ee@tawzS(a6Eb*{xhGGv!2U# z@0w#(Q*E_(2$os0LOnbx_PA`!{)<6+O!V`tT=ckNct!T!CG61~(#d1dh38Z+J4-xy zO!MWH&hRR%WKpMP^|;7Wzr-n}>Ggc@^`g`MR!KA6Qu7boo8{uk^vA9@s+q0!+x3>r zP}p^W-`i60wP5!nvehzF?5W$N!?5!91iDM^C-d=?BShLuDbfX8RYzHPM0OK+G+3BJ zWC=E-wr@MT&f|D2STvTSfd{)OOxir!WfCD{$?Ypl6byg3C_IUfHhMiS85DeluOJIT%HZ%)b;V?Ilkc#Ln6ypVd;!qXk+qCN zvA)KSP{ECulycUBCV@dMF1+^J#?3IBXrzyRPtH4R@F)Zv5Nmpa7R22F>1dG1?o)W; z2tTdrqKWQsELh0%{`kCqIF3wA1_6n3|2}?RGQ5^&fAt}6ISgY)C0P#hQo8LE`{~B9 z2bF9enQ)-F5Z0|+Vk%qrJ~4K&(rl64Y~zUlol2H~*XhRzcIkEAP#Bhl-#op>sbY%2 z!KQEH(@fz^4o?i>hwVb8Zu=n_5zh)@X$;SreLrg8#WA)v2Mb2$n)=*?=#1|N6uBRtNE~x9dJ!YyY{VWPbNIjAV7UbqH17%jF0}txYpSM4fFr zL&R<)?DoViJudd7qlW_RiU3?=hdVL z4xlv@dZ&{$)#PcQKWit%r)V2^!KLb$mpS7>^la-6@C;n}#eNwQ?-zag>IX%OZxU*g zt795XaD#82sGizyk!CaW+bTCgCf%mAY={uErk9q;A$&PBgR=eRkjS}@Un0{bp1OqC zEs@Uy>D!#T6^Z+*%Mpp^Zh}=d{c)Kr(C4a`j?8yqLM8vsm04S=T{i3vpU z-Xjmj3YE+Y*)uPt2qO)or;Iqs49|~bM&lPaDa!B@I4!H_@{W=w{jHj)DDZ5atf}o~ zk*d!zckpX0n7{b9RdK6jhSLzgRhGwP;!$?%)3a4>5T3VneiY9OJ#&JF-bvAK$JLXP zyjZ={va;$I*@~J+inGc;o9RqM?T;@*keXgJCfT~-zP$7L2@#@;#&YQ}I}1hBwbRAs zNsMZjlwN})g{3yc-Rj_fp(%PqcqgMPCbPLYmG<$7tOQ3$LNYawPJUFuemXIb;M|y} zRbIt?HYo>|#uU3iM~pJvc9Usf^$!|m2GGjrWFj77Wf2ROXVkcn_OJGR z3pUc@@vp2HX}!nxRzmtpW~A5zG$=9Fzed4mJafNEf6#IjKuOrBP{A%#7ISMPP1xJI zWvrhU^F{+yoI^D;_oz$kEqzqJ&1+|!*;5Lxoy5|0VUw!Gmk1rnPkFBv@IHe}ME;IW z`Muob08mTC5EP~Z3GZ_el}jZ)LB^&-$7b@-vm~Xc7-u3h8e?(ms(*F8(SU*&z;mr= z@(QN2=eg8Ho@%2C7d?rW?ngABhzO-#No@A{0a{)t7!}uB>8$f$I^mm9RsXh-|750m zxkeGAb}LZ3K7WDKF@(wRX6#E37G7O+ z2(tw{GWuj-DoG(t50t5*{`xIm%YZbiTb>=tsp*$?GzoDp!)YVEY2z*-#6G{6>#wvZ zI>0YFwLt{iAwaWb6bj4!e?vi-^3KkX0K8NsVnR5zVE(9D(*SKfb0nyM(x@_gFvCUN z>MQKt)Bru#7!GQTtx`IK=r^sbfP}JbXph-K^^okw6K1>-3=u_w*+@f?a)P~G;Tk!E zd}~aYqx*Q_rb_Q<*E?!*5YfR7mWRSn(XC5GGVy^?M4ry1s~g4X`q8)1ag)TR#$sU> zTlp_a%Oq~@4{F61nMleTH?iqG?T6P*HXTl(nqFWgtDMQ-lP7fz-d7#jLd_+S-rj6E zuQ)lPqo367FtvQoB}*lC=tRR-+45iZzDlzJdt$Jr3lLElU`TXklj`jPugkYPPE*8x zxTt+4+y8|qj|jp+iw+Tbut6butR+M{2$k+!M&qW%E%IXyr(`l69ijZ3!jBor+FlMW z*J)sOWVZ@^E}!y;@C2#MT5(VOHz8Ux!Ypf2Vy<_H z3tppUve8l6RZhCnt)zpZ<5S0rO%CTg*d;6(8~Ic3`fIQ9&~}vHAYHC8Uy&uPpZSm- z!3`>z?+$tdEWlZyJ7FinNi%zXIA6y<>85R%b@0P#?!arR^sFHVhUHis`=t^02_c_J z&6OOsCy?vC%Q1%Bkwi@XlMdHTIzhuRs%l8QfrMQgsP1eWOnTun)l8mJTG~SLq%Lf2_*ApzWuc+#q55CZ)a+l;bnai# zv|ISnt>*P#(e!T@MELq&(RAlu(RAov(KP8_(Ui0MdGe>oeF5A1zoO~OVzEI>`8EX3IGS9X{ag~kZ#z3L7g)a?MGU~=A{T8Tdm9Z$naxEg-a4Ux z_;bF&h@ePfT}r;Cq+^q>3ZY1{UrR!X7}2~*isDGJKLv>z7?<4y;ta{*IhuU(+bOLA zK&j*bU;3le`b3{#K0Wq}E^n7`2Z-WqgSaF~(So9g#n|6qM9=f^s(bR`Obg$GqLV2; zc~juGA(DPba-sy`%4}y*m=^XT!jKb+IPU;&VNfJYNmWc~2u)6U^Ei*m06iw0x#`%~ zeZ?$2LT^E2O^8@;LD;LNqSryt@vAJ6c~D&=EQgc;@?O?Q$`Y0yk^6osXn%^`bkTbl z6z!gWYmIHX3WbqNqOm91V~jHyl*ug)MJkq;rHjoBAQ>WO70F}2&5xq@#|?z!F}v?& z{iYIN+>HW>aRyUDhf|1<_XrM|MS;!e(|3<3{BcG8o##sot+G7Ah(U{yYxG5#Q%FbZ zL4*5+>`g&!BU0M?q6XB(5qTs-;rM!{Q9Tq28moEV&7*YoCH}oIyeTK1of&$BV zKT797)cAm7#E;*cA=weihDE}fITZ<@a6M0H8 zQE*Yt4owX84%N#+6rk9c!{Vsdghj$s^)N#eun*j(j8-}j2~UT6f&>|MSwv}BTKW}P zn69!2zyP?!X|4ma{)9u56Y4b~LQzr`k@PS-?undBvPBlybjc}h(ulMnS{of&L;K^7 z8Di=At9{VMm{SQi$+`56xNsC7S?nl4`@`YnR!5kqMeb>09f@`v=9BnyZqouh4{c28 zqID=dvGi~>Oei_bq71C8yGEEP=}IU9a8)SCCi^*MOf>2bommM@T&Uy~q9c}3 z)8?+5ayXZgQk12E3WZ7vR!0$ea!ui0)#-dMLB29Oj$I=_kL)kJB}5*J#?$Aqi@~)aMt(?!w~a(<{JTd{%B-pO z>hZr-7Z=gPzL(^z6oUoM;SXS`YqpgKVQKKLc?jBJ4Xq`4@op5#Srn+W$kHfR;_zo;Iy5-nuuIN4(z1p% zot!7AnMV@q)P}QAx2X-$(lwp$5hj{Aorsd&a|l9P(!2AgP0lC#C>>hN3G1{b)y@d* z$ZhdNbonS7^N@_=L`bRBgV3r+#O{!vCc4KYG?uV%b~hi|-v~(cRYQ-`kvV^GYp`uZ zXOb~rx{xKdSnsd^%WqX)!PtC^W)xb?5bflP5zSB{4S>8jivDnXlAyN<5tMi`!DBNC ze>lm(yh^bz%0(@iPYBH=sfx!EVtK5RxEgx6uh_>>JYgzcpFj1{uTZ{UlDFIc(f?<1 zR|)T|0JCxdx@Vs9Kvkx=peql{v}pa~NQ02&FfX6c)u9Y3KfT&&6w6GIvT{V^093!n z?zhT2_L~sT4o->+MWT$`PtOAAz)nb$W(3L8h%Eq{R&LX>+5ye;ZL4xInTdB{Hdrf; zv8XpqNwF9yu&WE0DD~K{11~nKv)OkE77I%q=+|sbsPgklBPjmuk(|>z9TG*viRA~b zdU&UKoclW+FDys`4x(Izxyrem)OqQSS5&9fR0`Yl8u?3?zaL$%9tHa0w5vJSFE8-S zsS{0~n^+I4zP@&TJq=|UmLb%>-C||jE`MeP3-m)a8A_g=P=`ifZzU0KS&O;FIkomg zbjT4S$&u2xv+Ed#Q>me0K+z-H=y)dZS58Trlt^X_h<}3+=h%>&YmvJ_D8scVQy|o( zTGTBN+EFdq6$t%rEjk2*fl!BmKFp5!sScBj9gD6Gi;W$dw+>sB9Y?kfN0lA-OC9c4 zc08*(JSX-~9(A97vg3!<;m5HP{Hi0!VJ9r9BdlR3YOW*dW+xu5Bc5U>S*j!1VkbSS zBfVlL`&&l_VJAnZCr9U?_*73p#z9F}PszqX#amA$%0Vq#Pp!&9^QE5VD+jGrJ*^W5 zoku<0PY(L9dippHhF|pzIUI~7^^7$fOwIL7-5kur^~_ToEKBt)TO6!M^{iJMY=7(7 zARHis1`s+Y`=^EmIN1NaZ4LV$0`TX*_qVs_r)LMdyIWhl8{549WcU9DfbTE<7XbcG ze;=&y9WC*n&i~WjGXFR9xBG|L|3m#f(%*kKB>&RJf8C+6Rh(H@TbGlQ^G|>ObKn2; zx9+Rkmlw}}09@_m$NyS?3q8d0-6#Bi4!}R+8Qx>){x2EuK%f5@@NfU!fbYxvcL4rR zf6ubRHOh$nj{vxg@4c+ojh$aiMSoY~|Gx&nL6nOBrvUu_Z?@aL?SHo2>~^mIvE5)}+ET7K zvTm;wERgvj!Pengi(An7TWj-?74U8L!z#n1XbKsa{qbwnBIKa+=Ccl8N6Y2ea)aRh zyAv6^>BO5agqF6$y?-w|348ycGf@%tPK4L)(Tfy1WZ}=*)>Mv<8$kBHc+=>aAZ%S( z`Nv|g7?O9Bu>{;L-A-`Evn+;hHao?%RR?nqvdBjZ-8AOF_8hwC)POcd1npyxDrYJ& z`?T%UHTJ4d2bT*O;P{=BoGk}+eh*rC{%J}KsHIUL`h-D6CC;_lf*vctsD;FScfL1e z*P#Q#i0|?m8W%?m)m?XmeE#K6Ln~510Z<0-<&kQLdH*eznDQJ_wE+DKwpg*>pOcV3;lwe>j}t9KVL~gKqa&L}AAT-CgVo%DGeZ+;nGgdNJhza?QuuMRu-u_YBj({Nz)q%682^}3RH?fsw-p40SA1#S;h z@=`P{;zQOXTJ}qt#ng2GU=n(n@jNJle%8=6x9}TJ*;1@AzavQoBps9Ow$fv zNe>2*KH+Tcz??33K-+6j2Sw=F1u;lHbKimc ze+L;0(0VH-xEx^%V1zf7sTI@=+_rizbs1yD@b4Hz8GFtN;S!2by6#Y!4Mq~qrR}nk zlLWJ94oo9b{r>Df&%HH(w|$<^8a;}A#ZqB%K=6aaC4Y@UFn1_pF&Ld2{MY`fCt3F5 zl5tZi$eum*1jpy5NYdm0UwY%A?7Jael*1Y_wXxhNk>d}37bj#4WZTvAy!^51c3MAg z=Rl*4w0pW|UztB>&wxel(+UYq_^_OF=Fq;zeRqfFK@G~qDS=!^|DZKf1d#!vmTFPn z_XuJ5`$N5MQ9v_v!Eu~<04Rq>mUrW5XfevlO&95{&RVih*0XN)KP5&8hePDf3%-vA z34ZkW^HGc{teJ}s1I6F^yAMv-0iZV1j?m;Y;TJMo-jR`crO$HiqN?LPrs=xL{ZlVIVq6b8G9tos292|#Tc*48L2+>~ezs^69B z)RNsMxi$kjpBjwe+I}03l$TD8?Z>YdZ(Sewa8QbwIN0IVt3?uq(8>2{A-XWAF`QM*_<1lH1-7-@#4>R^+ ziX<}3bTg>XHjMz3(a+l}DWZ+Cv+b+*lr+qUa*9RbKl>RVm>yNM*s9WZ9L8BxSCz)o zcwQfshy2sB#`IIG(n#@4dSnyqw=Mh;;|K<4m^zJmyc=RpLRHJzeL8l8*||-Nhw9qs zD(M?-v3D?`WE73jY*DcXtUMQGOA19a=pme%xoZf^K?p<*3PKl1Rh)v~G!yolZU=h=yvK?ar(rcs8w~ltid~8rlcBuwQJ2k7yV< zG}k;Bb%gDnubM;kZMIHMdgq{XGvybl>FS4O`JfBC zSWk&)*;R z-8bqzLWc#_e61inUA~)`TksHg)N=xTMvoimsv;NJ- zt;jyacK?P%Zc&iP4Hpu*QC7bm@OJ*4ROY)Y(7!(UBDxK+-93=V%?lE_-M>R@_a5{6 zpO%i-LuKCQrb++}n;6{O+8C5tZ4kAEBP&uV7?Xq97?#)&i6P$@0R(kVYxB)e1Y)v* zn&{y{`11cuwm-yVI|Sh)fsod&QHe@XlX`ubT>(k|Om@IB2x;TNNZtT-vo>JE5BT^K z7YBq69ra(@>?!b%Oi?6r1@2bAXegG&8NxBVGh0T56v!xvEM5Wpmj#P}4%Xn~3w zhFc&Js6k-B9uEN42I~w5E3{&LiVHM4M$=!$6D0@|lR@H^Mv`3)DOE9+2LwBX0spw+ zeliHwC{=^V>gnlFpW{%|RIF065TjPuA9VnWu#iB1Z_;-WEG^l18gsuWX3#zJP0YN z7M36!AA(CuYheTUjbUYwR*Q_IWRW@@VB_6MezwV;{gy2Xw|jO?FI_P%4>zr%m#X;- zs?#!UH~}@43AWIiwxtPnjBt1THR);N?)%F!Fk&*uZ!hYaDOa4C(VvO4oB0Vo>oFyB z4Z&n~gf*oU68M zp^)r5{+vhpoWE^3_hmVPAvy0zxdJq~P{14*D|>j456I<&s1e5K0uB#^K8PN<;FTP_ z(QIt(+}E^R!tz|)(LDUqJc{x>*mPq|D`R>OLPl*uW&vYX4~GwOKI9SkB+q$#4EF2- zgn~qb!p}ycKti!o0*O&0sa1kc?F6#vM)J=NoTqk*=>)1C1Yfj`)U61<$`NQW7=05U z&?O?!e>ODqa8&m2;RfdMYUfkQ6_}RiTUr&+0*lN&jEz?fzn|i}jpDnP8+x`o+Lrq` zpB7W57dTku6O6>WNJO<5mmudVE1G?5Cz({R|3^Z1RCbDEA%D<=^kw(ZWJ$oOzmx{ZdGdiKXjJB*};X94+K)nm!x;ImLki0tJSK^2|`-s>3 zNNr+Lu6sJK`>1sKX}tR1`H-;`x^SXwaUA+uAbOz~Kxh%$(Q1TPi^|A^hOA&y>d?o0 zZsZmoBDQWc$Jj@mW``4p`fQDwIc$U+hg#l>`j}xPLf0ppX@g_XF?#lsM;c0kIEAPA z=UxY@R;3NXbZRLGDL2j7Q6jCa!Z@*QNIo}}DYEUvtt~F&H+JZ6FNH#%*WXcwZS-Qp zIrzf?=Y^i&%wd!E;i#yRu-9QtqLGBkq9mP>0K;M0ypepjk<|6!?3a-U;?evlf=nH( z5*?3hol%eW(aK8vG9j$GD39vb(I4z%#^z%z+GFjRWu5C|8P8+ALQefc<3-xzLtf>> znd3F>5Zhfb`8v*sKQY@`F|RYxU@3j?sWJX1+Nta>%P+Y@f`E7jq{6_>n%$0)$0`S!!-0nEv)Xe{LIvcyy-@_X+&Wc zw6|%h4>MS{^*FjSES@t2s0~D2Ga`&rq>8vGS(udGo+Ko*lAg14Z!Qd7vwW(v)URlsH^20OJy6Y*2pWhwiqcB7){KMEmat87Y-fX zZVk56m2Yd|Z>#-TbA7t&vEJ*$%qzdT)&p%xw;HklWd^@BDj~nOgyV-G zI2$$w_{tdh(*X$dL5f4#=7S1=CEbDb8A7St#_QfbKij5^=?sbV#>$ulIRW6NJFuT>~fM~6Wi@!D(#Zt?F!oMh;Qx@ ztL}l6wh5#9mEQMN&<>JS_N8O?S@ZVg-+$3J1JtUwKiM4+Is!^+_oc>-ko5L*;&u$s zurxP!jH1$tRQC0|4+-M~NJLQivW;*sfD|G?XQd;;c;8aCTlkE4CT+-8gk<&uG(_){~((Kdn?$gT6)9Uxr zTGF$6k+a7Ci|w|`^ZUzo{^)@IV1RxfcRs>`euIHNiH3eXjW#=pc3z9JXm>H1i!xGs zG3iYM#DoRzU_R zBR7&E!zy3bVIbGWUDsR#%crkVr+}5UK&&fZ^)wJqA2Aq&7{rE1%!(L*fk=jqNP&*% zt8(MBjo=-3<5dg!L13vtV5>o}0khrOPQ%+f+}dr!JF_7;P2W0VAUI&$xwGB5`yojC zBDfhK$mt_|2O%h3-C5VdTe00+#=%?o!JEh3n;F2HPT!kc-p$nCtnH`=>&|%oFp)0STtFNBP z0MO)YFAd5Nm<`>^3f;~MO+EcWV*pL-08PjCO0V)d2nGy;0T{Kfm>5u4*RR-YP^i-Y z6qPr$ZNP`PH{xC>67Vz>>Gj)|FVt=<6hRymVJ_5h?7L*``?)f#)b+bG23R@{_AVCY z!5+*X2jOUL1)p-E5Uut3s0hbXE9r(m~&XEtS_?o zc)8N>Rk;~#<9@Td5rR;&Vdr|D^7dY(pvAE}97iH(rqJeOIFW&X46pE9qu*Wm*uQDL z2{i1zFc>u4TLX4ceiW0m*}489M3;?y@PrTRa{$pdCbDU0L^2mY zC@?ID%MYNT=@0jb#Fl(k#?WsEPF}Yc=L-f1F>g*umdp@VRfQ_0cbP5s@N}Yzc|RA{PqY=XK$jOxL8W*i1Gg@|U z%&OZjfwVPULx0X{df^$*Yk$oeR@VKdkYKjR3#DndD2SC7upCh{X8yQjkO4VI3U-)_ z=H2r9Ce62-z>d~-km{^Na9juzB5>w4q9l0P38O4@W5_izxGFRg6?u1(5|sr1%qJ=nzQd}i zh$FG#s6yeG-l@t^+xmZ&*B@5( z@#>2(W~>f)jm1(`*6NJkq_#C$x^Y>E<0>G>6n}ycjWB{A#tc!lo7#R>UWT|rMaXr(L$>< z4_>romAj%%zDCB{FG}7H%TM;TDNQ>#M|>lHwU>Y4Wu2%U39PJ4vb5i3=>#3wItVIz zSk+~>uP}?;mQ8KmG~}q?9f?*UPWu75!eFTBFi@KjY{=Tii(p*JtOG9U zw>vlpSkV^G^vG~_x6nvNbkeA ztNzYd`=hKa1Kpb&sh#3&Jx$iBWJlUJP!m1B4AQ(kjHm!(lE6WNMLTL`d_!$mDRGI! z%*<}`6OML2yI^(MWIrj)lO%qx{$|E$`l-WWHzvLFmV_s;L~+;g_Qy8P(aq?Jkcik6 z;51Y3em$-0htrhj{rJ4_h>hoOfSkKZNq12gqBGU!#nP}YW_77q(01fgI@`2*zGFG_MK_RG#7 z2ajY0&Wy3FPX6#HmO5Rrjj5W~3a+^ZXZ7xRqyYAw(Jx?QW6JU`T4~1*OV3>VlknB9 zmD;2=@R{vS7qR-BA!PU3JQDe+@z%zLlv^~*ZR)eN?qlG6Z=AJ}9)Avp0w&WPJeSsA zbqV4r-kD6aU-`coq5aI5D?0K*QkaQebQx6GI86vIoF77yt89YU?iNAocb1F+Mm^r1 zv`$BktITdV7Qw1e;U6M$*}vg(gnu8=ALhsAoWYd77)WjWrFO}Cbhdb>Xcvv}c+7{H z_xpjK3cBUM=)&Nl_uL2;Lmg@fe0VnKmev$c&u24Wa>-M2kEqQ=TsGv7TK11jHz?#t zHI|m77*6Hm02U}jFgd5;8iz=wTmCWAgQe8`{nUWtwzjqf-(sP$zR0hHI^>k)= zokORQ{3)NypLqlEY0Bmb3*-%u=NVa?J6;`@r`73Q9W>WLEsESHgzh_Pr2G>nLLhnN z=>g`u2dd!X>o!nZ)M80N7V^n4TGA{+QI7b<(sbyleg4~RBY?AfM%B&5e@B2@ma>%v zSpD4fA#cx3}bhOt=-# z%vGyZ*01DVX0nCwLHCsaapZ%nI$CLpe%DGin3RuK^y6y);{Ep^?Bof+R8S{7$^Y^s&gg zw*0#9dqTvXy!A-JA3q3_!Bmn<2zztZFWmA{!?Z3r*Drfk1|(Ll7BB^S7BS6rF$eNZ zrngS+P)AZWM1AOvmgkI>sEYf>d`Q^_<`-;R{>;BR+OW3Exsl$sx!MgvV!5Jhy#CO0 zb<&n2(Q~URns426;vrht&{#CaQnFWV+9rBUkqceke$y`C_*b+_o*T-gCOM!cC7snv zwpVMQreUt;+dvt91PE|T52RuXTOmiOBrFQC5Bv4ZZW`MwO4C>Th3-B zhPl^F$TegvIW$`;*5biFp2$A2*Y{z7@o2e@?3|IJv87i)ynmOMT7jc`hlS zFoTKFI+M|ak9n?=C6SM#$T49bwDX{$$EVt@f&*y=5c{SE* zi84hSZsj2EXNr!Obb9#p8iaBB=Cd+AW2v?d5NxCr+<;(_cyn?4U=L>+(31xxvAMFm zxe9s+{iS^HL!C+CXnCXDn5OhtWW{(vg@p}oZJzY>S)FxZ3t30Y&GL}9C%U~&7mZE5 zV^Y^}dcCtkE8{>{$Xx%#P5mUWft8puYAoJ^Nrd}_k4IvFckk0t0cTP}!%9ErTDi!2 z1ixrOThO>f2o;M2Crg+bmzPzeSmUrvVzuntaA5~m@m%A@DOY@^fGpF997>s^Y)zHm zzm|a%u3qIzR@F?|&o;f_jMJJ7g~8?wP)Hf*D;2}X=MkfVK{P749^}3P6d|nr!G7z} zfis3uoFRx7s<@lHO6se0VRv?xCQ)mtI_b0YLaR$^A!iz+5E8y6U}|cl>eLc<&|zA3 zuB1zpU#+NbSNJ_<^gDEJ%cea;9vYA>k6Xh;|Fp*5kb}BREk<3)&Q;+oXJDbFTuK9~m?&j}u#3u16Z>L`q2>B#9T^qs498k%(0 zK~J$$&p{d+KCF*|&CliTlBB1Q<;jT0++QkexWxY|blEjd*()%$;PBDyD?1m8yZoyE zKHl$oF5DgU2{!A~&NmfLE)g%A2JfV4AFpm-uYuph!^4>p=MpmL2O>Mq-Q)9ZvO5a5 zx8v9(?bA#G5+KBAq-CEozIkv1(4(cT*#R^Vu#+&gz zmpw|Jw^8C3AwFB>CU=PHRBjU!Ul^NfM)}=B+)9_(6<8tOq4s-yj0yVtr>!&jX>Bz) zYUUWqanAYQV6IHHL7RbN=kXI~{t>QWfq4<-!GR3qg-q-oOevN>{OS=33pj%^0aogg zQKIv&!_Ur=+QGk6=0suZ+jW|L=??w^=!~o}f&OAGZV-P?mt1W6Fq!EkXb#6?;r-b% zODfNc&9p;R9~&nV4lawOU#*it-h#l0n$zNL77;R*TQ9K5@zf^>FZ3v z5gmY`3pCd+InaYFY#_Lwo?l?%nx-Q3^lDUbx%yu!s^gxj)CB&#kiLtM!M^~ zKjKB+!$l`7SZ5$}8PT?Cv}<_?WteYX4fSAt^mTmCmFD)t8!e=Wg!%ekkgbSFX(p%F8(EKcDjoe;4+> zp9A-HZS^&YLourb3D1L*KMmm)L$M6(aT<(x(~O!*92;*VPs~qbjRz)eA0ugDkZ56g z%b+~)hrcS|bjhH*YGJr;;Ae?0FzsBG>n_b}$?dN!n;32!sHPBW*CiUl5f2)3&zeYm zHdCJ^(c2`Q>@5q{BWD>sPGYE1AJtPZI#&?F+n=mU-Zj88o5(e4J{TqOT4R#l`te2I zrt=%y(9&a-a<{2?&w{d3qdvH?i+iX)@Id&N@bn3<)nSo5c!X-yov2sPd2o8LSbZ_8hqk1TH)m*elEQMx#XaRZXmn3p z*mkgcAFSLNZN_dU{};8@Iz}F(ZX950Y=5Z_qpQhAY#!}A9~P~1FlPL{czSGNd3Diq&>%A$y&PhtK4ZY8av*6)vrX_Fk z8Z(W2$J?$~;vxIt(%)ctzYAr5-1!dTY5Rw*UvS&7w(CxID&d2B@davQgUev}A(b;^ zlh}*ts^V>lW`k@-)m#Z(AH4h^*)*@mBXFv_PzT+_q>3X_nYdw&*H8zShv_F*EIr5hNwG zxy#nLZ8|fCK8Sm{|AHYp{n&uk(m&?IwXey^z z-v&*yooYQl)qy>UHhX>BTUKjhZ;*I z8yEYm3r#t|+KIqDIHR{%VSq1wG>>CFo+fl1-HdHZ;S1nhnQM6eNe$MO&vqgDe)g@( zZhc|qeDiMe;4=UIGMwcz#4l5P+Klqi&@dUia9U}M(_A`m<__8k3^yttwS#7@T*>-I~}Bp${+PU zXqXbyTv7TSP{o?Yir8qoI(>D!qKm!Poz$b*)HA4lYHb;f{Q5<2=|}qez5Af0=Yl0C z>qGn}2X4^|IORQfdslJpQ^cIxWxM5-ZfEBq2bY*r8~r0R`=ian<*bkU**Ql!v@0SC zj@~@a^&$HWu6D(tZUH{eawTqMUyl`jKjM>`l1+GQ!ruGh-+S+q^!Snv53+|PR^)Kh7*}|m$qMh-Q^eIw} zbE@y_s*jcIhQr3CF{sB1aq@Kg(5rfAe2RA^5C2SBZw1fXt;o%d04@xbn9t>SduO{3 z8TcPMI%_Ii5S!9t89;|QL{;n*)G zmk4#GI1Q)6RFR6n!!$KXQY|QqNfGea$H6N6_jQ-db#kh%pv`GIyT5Q&te83Edb)pd zz5;2(tV2EENh)oHv|*NiD^H^TQu1&aji*SoZ8--y-chYFk=|q-fop7?$(+GsyG{eC z!@Ripk2=gVCZ+Y(>3!)$M)QAlnB_Bd(myYo+LuokXCQ5ufXnrEx7*8$7vAgb{!naI zyH~!O{n4MC_ALL}FlYax4U^RM9MXn)hK8=!aecnb%&4!IR&R0|PcG;>PT=*_e>jDX zheGhK-{bY?>Y!(d1?n_ko&|0az%m;=N*Y}Sy zkhky3F;e4wMkEhHsm~`1fW4t0V~4&$i1vA!L5T4>9{x=#eEO$=)CO@y`hz{eNyrE1 zadL!2$6rtgN$xUf2&C$pj-e!4i>e4<5?$A}AtI}=G-)D>Tu1nHvs6|143k#bAp*w; za%qC^i%9SU`o|~1__{8AaJk=X^5F8cO#I>SzS3C*~L1a)_Vh)5R1c3w*r z#|B+bLB}YLG?8x5k3^fxW(!=yn#PWw@w6?g78b$Z9K$)j>K3jisLarYyQCMz33)eA3bbqFc3?}H$H~decnTWK-Et<2)Jbi%PX#*gV7f5sO> znPmyq@gqlzU+O$I#f-8DqLf|6?~xS8B1wg%7E(cy*SUd79i~F$u0w+CfMDkUs4>OK zM=4?gaEjOl>0|vO)F@POD{K@PQ@2NdgJ|&TQ;STj43X(Jq4C?M2U&j1$dA856IddK zu+6if7&#Sl{su{NB-NpqaSaeo`AKsXvMchd6r?*h4sqAUquMSSeyIIZ7whv%Ne0u# zU8h(gu*ARS+KwH26;wj9=eV{u+mQXxSz_llu;vZPOy6H=K^+7t{!Wg${e;zG=;cyD zc)webO)Vti!7nOd8tnO4O}miLbcRg(E*~^(A0?FN%;oDg$~l@+)t87?^oTs+^kr$H!6;V2TG>?gpYc`Kbb!-@=iYzs`=b~Ij$in z7kw8~)50n`2C!=P!q_zyAfuGQ$hWf~QAieD_vgxA1hb+C#1(@%$bksW{Q+&)2JAYT z1Af3dV!5bLd3J`Opwc=DSEg`f5-sc*js?2ns0e0HLcG8EQt9rPQGDMNG{?YC4Y@^i z7B&j2v&*Mk0^%1jb@3GoHw=4(bFD*uY9MN-O2CIe)ZYS!j1_XwVzG(nG2KSrnCBRHEXmnE6T>r^k3eE68{0M! zo6VKWUS+Om-##1r&Q&UL@j+=VZNBJ%t5i|fT>W?2LX~t=sWG#)bcgmtQ!{rZYnHWc zApb&#>s^&O^SR*~-?A>xL!GapwJB@IQjRoFcADb3FS%NI%Zq2oZ!pK+T>kJ z-^PViV#hl7JME03`IKR1np>8-5#%At+oZ=f*)pP2s zhS+X&=drri89s-?wo&{aU_iIF&DjQ zSIV1ls&3vs+YsYK@0)(6i_ekx@#1@3pzyr0+ucf2^+Qub*M*(0;QAiRW7}NUrE8Di z=56(37v!9&59FLF4C_-LcK3CNsL(EU&C?)f_n#PFp?%0X(~&RW?wb_ILDTai-U1z&v$-ocS$~q^=VFV7P=s67Bu@<()iVy}2`}M$m zaMnMSoti896!^SB$QnmxUul4hHGn*1kXhz;pKS2*H_%QEqOt>#AS#;-Y>>(BFZw#b zi2=jOM9#WD1cfmGA=KFQxj+{}+!#WbMKa`eGL(cZERF%B_kkzs6}*@gI~BhaM>6mq z3BX|p);kPg{x+eW!3L5cC)-B=A~|Om8EfMT^bZ4^-62dbgESH`(QBBGvn%A2WDh4p z+TKD&XXwV=$1_;QO0Q>{l5{T_9P?{gHB6dY#w-F~{;@SJ|NqUnH2(an= zFo9$gMETT*A<(%7C=9(ql|~6O`OL0{b}9hQU*yo^WFo^9c6Ym?uSRS`?(6# z>r6!XDD9#Q$U_JvcZcMMr~sKJb{1s9G5fqCh3wFw2o&UM?IxlMrqcac;tBdvEE%GH z1wgNDJHLIA=`^?}37q=UJ0GmJcwK(-JDw+2IYG}Xvw}WI75L@xC z$oW7_-!A95bP98E8Z|X-dXbJC4Ir0n#yuBKrN|)@oUf#PXlG#dwSNP+NeR#dU~{aZ z2oxIKzypEB$t1m;WHf+QYKiPayT;=5=v*WxLs7C^%b_AWKN{V918k8UA(wo+Y-&?i zLX+x4+h=OP-GM%Qp&9&d#LEFiIdidhV~h3;6b~vuE%~QYLZ)X4Gw5E#)dRbIsxPi9 zh!kYDhteK5@Sf#q7(PbWbiL4(xuPaJfF6nBRTnkn5v z%2vHiZJo-ppp0WL;dL0y^If%YIReW$0uiw2InOoAD9SVXj6~TE1I-xhV2d-@%j^ga zGSkcQXUg&uPMxG_O+CyU-Ur-`=#%6O6M!`JheJ6|R*Sa#kdN(;SuJQA%P^KAs>#B1 z$Gp}MD!`8l*#O2UtCb?2B9lWZ?i;X4<_e`IOQDKhX^qHE2*>WA9dD&D z!UFgZ(!)d7`?+FOmWtP|Ae$V(sbYGPtVcWmW!(qA=Zko93B3f6L%yR?s^P`RE%eAyf^JMeM81c?CCndtPwNfAz5HuH@&%2yT zl*y)L7`rgEc$UN!G6HFZoyLVL8Z7nn_8w_tPj3^uIr&?HLHppozIDIyF z^ICX&HUzg?1Yb79&|1V;Hl&}mNI7i4l3HL5+y8{^{{Fw*b_Z&MAj8A|^~&&nM`Azy z4<+`&e^+Avrz!60|1QR!IOiI>_;0Uq|9IC+d6$HcY|A%u(>Kfi7i--A;jv{P9{aRY zZ>u<~y1F_$>)#r;;j8U`^4R|?*0@)O36@6xUkq~p&wK28fA{~&W1oLPKU4W1&vGyE zBSV(C|BG4f$hZG|ll%W9*)He*JT_#I+j9H=mSn4RDXRKHFg9e6TTHrAMn>j8C)vV0 z(IC)&^4OODZIAum8sx4e{I|wkN`_vB2lZbKawnqvkJq^A=;%1fHU66z8wCXg4h{}7 zwf+B7iT%Xy831w?nVQrS=)0@jI-*6*a-VEzYra?`6ZGA@;7^C{sRz%P{W!S|2q*y; zxt^r++Jy9l?qw@=wM%S(pKuu;#&@>+ z)iH4uEwafsDX&C#9ppLP$Ghc^Xs7W}Y|85}2$b_y-^*H3MyrA~xWA_?I->)b&?c~2 zRu-8uNcaUp(!o*`&6~MJwuFvd9;)#nw7OLA7g`v--5PjeOG9C_F)M^yTnvyb2 zJva?xBFdu8rV`!h{xBv6qd}hu8d<^Dg-+cc*a-v(i7CgWdTH)cPXWqE($Gx*PB|k> zx%tK9z1^&VbOXwEk^y}FQDJ}ioMqvVXv!^gk>~izOPe|u zbwsvAd`7tagRmTQoDSE}yK_-gXI=Yo^Lp_@DQE#}yZc zG1RpEH3(?00QJ>%T#8oz2~=wXruu@R-obMq18d18*V z7Z^ss+0vxP$=%Y&g_F(`C6z)r!-@mWs*2AdY<0A-QB$1afr%>s6^5N~G@slX;svxY z4wK#!GA4tS@={uoV5T_vK*}_8*yh%5)L)(p(73-bj2fWxqR1!{@j6g;d)nNGefY-7 zKi3vyU34CMZ{F&{f(vHYfq!U-zHlbMgQ0ltP+`5YF?U~5G^si0<9YF!5OIRB>zM0L z?UDcHq9hOW`468s(?#W)YlKyBZ&n7fE1&^TcY`ATzzYeC7m#}2FbBc1``Ot*3Zxv$ z5TFg9lw{CeW*-QfRjUj>GlkU&v|>myaF9=gha|A@3IY6P0{vmg38gfd+K369hH!7o`Cjd~q4_!USi&#u&e+Rxg8eos%h$UPjQ!Ln}A{qB#JG8O1r(roG zIA~uJxC{I9U0`)#W6;3nE0|4UkYi^ULw7#?QrC|4VnfNJMRgg%F8-_}DiMzz*M#vk z8$HEQ?I`+A11#=xd6NTBmt{r08FThO{BC=L5-&oXZp3G71UAT6d=-lgQ%8=)SwRo6J`|7$2J~C0INH z(nZdwmccQu0xg@$AHU@{Z_*z-j}>b?mc}+8+8?{Fqiej5YJ48Y zw%(r~djM#)|KCdNBLXPgS`ggf(E$en0hDZ50L~&4+=tp(@VLVyEA;%h8P6yGamPtc zZ!MK0ku}hiU-4Du%lgp?{PXmQE+Fp(<%^^sQ5UYJOV)?CW4YL`GYNW}Ma&Z?WoQC( zA(xG%;1P3Ku={*z%xTGs*O6KWQ7&Stf6kxRQ|%+naV9_LD%*)OA@RJW-o=BOKt&r8 zw2tNB;;p*GiSt6{j+JS>`Gx|;3mCJ-+qVh-R<;pFAS>H<(f?MqTZSPk+jn9AR<_NDAuHSWf&W&v@rM^0^zN&ig-`Xs z9&-aM4~2Pw%#EPWaHZ$8!vlkR?G9GHOUdCIOMyZk^X5 zQ+yDK{RbkkcOepc0FsaeK_oUDBp`!>5xJwCP63`+V>9-k?A?9Rux0>qpW`GFv??gK&qiz4x8kUk~I_0C|If z4}f9Rlv-j8;J~6yEXV5T@XVb5R#=S`r#w11W6H~ z=~);cUi->f1fVP%AUp*zTgYfQBB}EQ+9P5s_6C3B3*q($Tw#RZ4FiA7z?x|W`4AW? zPKU^)hC!qWl+#m?LMd*KLnvmdKYM(z7agi4gjJJ;;Sr$y5DN-j_K$foh#U^1<_nJ{ z2xm@3((y-1LG*71z%~DfY)y@9Z;k9+j_kIGRPGH`zK;B*88ws|Sp|r=dPMuZ95wkA zHBAux`w6*d**}%+zmV7)VMyhg0ZWMgB=&J?%xP=Pj0JM_a6n}kt`b}1iwgQ@KJ4`6 zV7?ijQG!^AfL@?O+nx@GO#y7M#cTos(OdzJ#}Oqza1pQlQc8U|>q51k;&98NuGoAW z`uvNIW6@KB%4Nb7pJK?Cab*pB)CrUY;$vacun<)I1H$6L7QSX-0l461$kh`n@UH1Ly{x##h3O~Sx(g6;r{7> zG!3K_wn5WP z38-dChxWmP4k@9$8H4Ouu(`lS_Pipdf+R>$5>rViRhbQ>!p0#@A+cr=T%`c{#r&$# zhN77S(puzDxA-~e5Zq3ZO0JvQ;Fnr2kUFf8(qog_(VyCXm^9T09ui2KNCMB>q|FwA zmk-lci_&JGNomA4X37f>^1WHYuHG6woG z65ul9s59|oGh@M-Km0PW^E1D9W=3yjVjyK5?PUyFWn2lQk0)gehhKkvh4o&#L|F@3(hM7}LJ z{~##eCM(~nGk4^qXS-o)V4C5;eHeA;J<|hSDDjr8t(Q@u8(?f+cnL zrTL`A8v@1CUL_;>rOJL~idki;MI~r`WtoGeSV-lolI3#Xav8t!DTZ>){PM!V@n!~C(6{&__qJ|F& zu377=Mh>rFE~%U^t|1Ap{##s4z*2({TvO*)%WYK~mtV`XS<3}i_cT}wWT=A!)goKg z#b?!Vbk?zL*6jt?F%H*A9oO_R)*~X-qlVSXvDSW9tc%L87exLQ!tje3{EN}=7oOs; zw@3BmL%;m;e=$%u&`C6eIs@>XP`@&R`K{5u2!PQ#fc4n^9l-!3J^#{7eESrm=iLJ=_ z&F2TLAX&H-*5T8Ve0L6DCknFv&B}wQ#HvLc( zuVUH+9jYJLcT^|uWftt!Zpns0+dRp=21YqXE4?>2y{3;jFlbxCpwBWj*E+RNsj1KY z#L9r* z{XmRx;Sb@#aD&14mBPf-!8lMuD%(K%<6zKBi9L{OG!*VVRCqE_+%oiiWvE~c8>l`7+q4vUyH!mw*Lg{vEe?C9SBz*wTw|b44<{&@0Pm#Ug^6q8mE~b zyCtvr+cJJwJpSxm15>t@md6n&@UM(;P*t4JL~t-LoUl&akX!SRL?+Kih6zQ6V9IuW z%OrW)5arWkDftx5(-58URJHdMlkqUD#BNxb;%FU~CYyc@6`AH`pSJuw{U&W%Fmjr3 zd0OacTKsexRcMCIVOkc000#p{iQNl6ZH97k29tU=@9&KID2_I}`@1hQ!mYEa-)GU_ z<}MiKP$lM0Ea!ChXC;hhY()sH9k4%8eAZo^yEdA1Gj4GGGLM-y@5Mgpu{tl=Kkq9t z>o2lk@H8JBIUAI=V9~k|kv13dw6Jrs@IwXL*1sJq_D7@VEWr34og?nsKP( z2(oa9>FcP^xR;|F`(^6@k9C}}HDb|C(y9%@^wsl+b~=+S2FI<0%1!dKO?J2~YLhP1 zdH@UN8pYTaQD+RbPbZ%222MJvg8lZZNrZ)tjoFP2L|M3^%FQ>JJ4BNRvz+VvMqqqS z&}|w>X>5nc?@Lk#Xe)99-m))eb2US&wg#s@p;dQa^FRC-_2zI zMcGc@_iEesUfcJ1-uIp?*C5m-L zg_Tc<^?L)ecn$M(0v%Rjk9MF}{{vnR#h^F%p!b`iw~QTkUmUk{pm$-T_h6#;VWPLi zoU~4$wM?8eSE4m#qBU}!HmIM%vT9g(Usrj$tcq64iMGLkR=oj&mDm+dXZw_BRRFXT zACzyVD8cF|m#Qy8^$iEgEe8y{KKBKne7!jL!M=cD*9hatNaM&3F&D6g+G*nA!v&I? zII=6}Zxc|Y^NcNRTEEPz$F-S1!n)54?71R`o z_dOEddnEIiD>GP7J#i)S3JDBAl7u3@-*};}<;M|?DiM{(uMIL0^|AlF1l8()UV>_M zMD5ByTAYX;gotmQ;Q2Uj_#&Rb6P+aQ>8O$7|AxP4)+FK%hE?`TbdvHxbSliPu;nZR@?AQM(obKbwy z)K2&RrKX;^f2palA6{x|SWNBo@ah6~XYoMn3r7+IM~eN}`2nHl{iCcC!ay{_P&9(l z#G@cg*=~oQYKIqAe-fF17may>T@Z^y0SFQoPm)v!Qk>7y>aY*OK{QH849ZCb%2@?U zI5sq*10_-&8s!9yx^-)XBSGC(oPNT7JHG+8KtV0EtSuq9uM$YXWE{bZyo09pLhpx$A%Er{&hnNgGb z=~{2fyK|GaFHg^T%^xyEyKXO5o2}HUwmx0$h(r;MukLu9CL8yyL@e%E497An5#BFw zndK>ANktkYR+^UiwIb~)c|a>nTI|o4@|50jtTlLVHxUSXvTya+OeV(}#k0K|O=vYooN$T4e`LoMT z51bPg+~0|u4&loV+D@Uf%I+vZO7nooHw@ZRk-SslwB0;ooH^axqHF=^IQ_&@=y)pV zwCJ3=k6UQ3TMlSsIT{wS`$+31XwWFCI<`Qs$||$NSPH3J!kBZ#xx<(o8#<8~ojbCS zn5{Bhkl@SNsD^QP>c7;2=qU|+m3Y)R~_F+n9JKLioE z4OaxbXW>l*e0BM(2?D6DI`t$n;THf4!wzF$0Ipw-F1EDR|HUuOW83 z0o3B^pb9|eHI37uH3^yxp|zCB)}@Q@&_OnKU(K4Q@C4Lf{V%Niv2 zSu1;JhS@wOfTb1*?}G&_U-Xr|Is{tfSKZi#5nTOLKO?w@xtr~IECnCfYRzSNPHSg^ z^~>r^p{C&u^-GS!4!_oX@EjYqYy~(P_2XU78V^j8$_4exhaH&LQXG{ z*$D(T5IW-APx%$yWq>AH*=3L+Bf@2frGi&{n7#RtdxUE^cT@Szy#3WEKR9vvMcJ+y z7gIrTn~>Dv=hYw}{_mA-?RO430eaxHKPZMDM%~|0ct5>a0Edh4En1{};ajo^FPy8x z%_?(%O=WMAzH6lPD|aiiqe2vrZ`qlR`6g{nL(nKM%Qy8M8Xag(N6*!(py?kLN2d(t zNw;&uW6mft*r(=S9hrr{%e2;^*Oz=5Td17J@@{ZQKwh`HB2b3HoOxJ(3c|y{ zHyNrH2*C#j*Syf$B6cHYJ2**$4LRJ>tfW@L@T8M5`8H|+q;^K|WQ(`{eD#}%j&9v4 zMvqAR#t)0+hdM9%!8y_dvaJ#@f{-EWSQ zKf-77qlbtiNyhjS?@*yAgh�#RT*3P-BONpwk_t?rZnZ5OvDS@(NN!xy2$<-W`C% zadE#Fn$poJNGK?~{J?;LF{Ijqih5JH2`C%%oTxBmwF8YZIk=zUZSRKXK+ez0i(E$B zYnT{=i=Txa#3aKtq=D@ln@cCotOO2&OWvA65=Lav_~fgd-vlVujuZV;ruL7r9Z%JM zcL&lF#wM)tHf1wsWEu8mmG-|XPC)z} z)cM6`;yvIhQ(l~@Drq)xzb^sRBT3}ts;e|6(l zv<;s5GKl0?BP`1PsHL`c!=Rw}jPVodzn#m7@r_@DyF51Lrx6S5FU65M7uTvsa(20o z!_y8D3B@pJ+4!yU0*RK#pi%y5VW7~e!q4Qk?)-~-ec=z3uRm>>n+T+RQ#~x3_FDLC zCEWOK{Cw9nWBbbL4(KKN!ugyjSwDKnw11Pu|4Oj>UiR&MJHUt6keY%S*qbMgR2-Xk z7G~OFYS8(4mo?yN%d`WjUMt``Hkjkird#izE2P&6!dtq4;aaF2_37lBF6tI`URZUN zwtJ{iuT$`w7BI7yyVX0R5xrl;yst4Mt*t3?rV>5+3R>N5?Q2QNcMIzTT`;2GFCQ=5 zAEdS;xi|#4k*#2oPdQc;*c(~x94)lFqy4FI1Xib~ zp*bAbDhN*Ra=W(}t-dy7REG3nCe@nd^VpEV%*(6fj_I=G2AdZCr#aPad&-P-A`y4Z z=(Ks)f}0%$wewXx?|c0BVo;klzx?s0)6W@_Btymz3bEPu%}h|OKU?5R$ZsoJj*?KGfUVrPDw{s164LkN^Tg9}eI7j}CVvaJ+ivt6 z>}hwF(V5>$&qaQZ(zd6AKIjfAA*uchI5yuDPipA>KINPrLC(T#C7|mwFq|r+ktky| zJheF`TOi|VJO9`Op>*{aDmCW$fIP~!SpRYE(KzW+xy8|EdVH9+Kma*y>`++6w+88nNU<*Nx$KStQRN zcYF#AM2~|g2`62w$51CWIiul}-D<1%q0acDnj<-L)`%XJ zB`mcd;umS-3F+Ep#(CA%{Cwk;RbkNl+Nit8c)G~snAx;M2sTj-p=B`_Dn`6&hT+=Z zak8yxTWm@yZOvNnq&xB5X!_x~GD3xMc}nnVgzF5d>TS8)w_7|OTAGThnn^{r6W>m6 zbIn|Fd81W-VP*R&RVp_{=9eSl@5((8R;?yT&SKZV8qhG3%s+NiJr3l7?aAl9;-6Wh z-_zpRH!J(`nH|div&?FULa

    C|rPNQ8am*N8nC06|L6QpE8}NJY$&B6IW1{wMp(X zhr-YDyb_MP&w{r_?Wav*#aFc@Xs^q*nE*#kTJS=D1d9-9gy4CbZ#6^ivg?wn-=qvx zq|zk97STezLP6*(5Hc2c)?x&$`n&`2e3$wHP-h{jL@~Dn0e&BtPPWaovl5qUkdj=(XhnZ%N7ze5i&f?Pk3b1yeS9rBDCbC)Hx~h4{z!0BjLxrpCppg)cMUhJNr2SMaSJRc3J8>lCj9JPDefj(s98Iz5ypoT z$K#M7Ylo%_@$N{rXPI%xxt7Z-2`ZWiz5`32_zRwH#mQfDl)zW0At3ly$SZmCI@Aowin*4#N7z-1fDHBnO{G$c!o)@E&Qr0Vp?v8wI*7KhX-L`-?i+mR3pD(<6HYi z!ESb8!-3#y(cRF23$k)iHV!GFa%sFC8QP{jLBWIM+QZ`7e6m4hp26UwxU=FWwQfNT zve!`PRnygyw2t9xpj(}K#G5qj4oxGW3}qP#geI^OWtw(ogwT8K8uJ>XEY^OvnuPJ&YIK`3h%e}*Q8UQhrMXKKIbUS;q}w7 z%C!pjFWQwdTq${sh;*)qu%-5|OO0^!^uI<(^U~EXJtkPg462@1CC{Dvw$UPgg1lY!w>_9oIBt zs`eErfpw`yA!+8~^{(QXfkKC=&F@N8n}5o*C@C852pOHI8b69#U-cHT38M*(^T=pH z9hB6Fu7@lThI16SZfhm(c$GY)ls-1gzOq+(T9IwIE_p^T^~U3FChzYaQerSFb(5ZO z?`iGGW%Jx=Wy_V@sOb+M?gy>*?;Oj`*tX4XP57C2AG&s9M|O|RwBaJE;1j42u&YSc z49p0(&nmY|o($ZCtH?x%kvsGh2J}$I^*kPr#-Fq&Jc?O|}Ly06iwRYFD5#i+|ys-IE2e;Ho+qq(}gyL$IZ*M`;z6xBjm z*?okIw`}0C|GSdZ0j>N5M)xNn|HOF)1_s8X~{g>%4E09=?M>^&opD0 zD}F!}HbEbEMwBg4p0A=`W;B>LcY9~)tu_*_Hk+s>RHkNUH0?6|p_0PDkjO0Ae z%mS-=o3b9Wy&Q}83@e-Rx{xvle%tF3y~(YHemW^t5h*o-fj2E9e5o~~Y_mT^W><>^ zbP&r^?R3PXM-xWnCEZkR0!F0+#g<0&msd1aN;BR+O`2jDY|Qjzi%jL{%t7Jtdl@X2 ztQ!xbC03W4=@z8k=)sq@GCdA6r&f1H^sh~Kc`1*;7U68w zEcEv->@F{0lo<`jiU#282lDC&3NMbUEKaO;rwNT-cFXHWY8ZS`k@jw1#2=i`6HEUy z8@n^AxYMpgKDF{@3Ql=$TYCw?ZI01hwJ=Dvs7#kt$E2iptVL^R--3_xNfm~}9Ag-| zuC6h7Y_%M$5k0QGRbl<)u*}Q7KBlBZiQg)+`|dA=WDCX&t-Z+osUg%=Sv$~JJ7{

    ryD(Hpl7EDU{3`o)tR)A3d*Cr$lH3;lObQdelw#4^TF z=$pyCI`ffn z!`F#)8c%f5EAz{)gp|$n@|yOyZmVE4s$$5C-l)e==<$JH_$8-U_I#Xfc z9rW@6nKM&4M-_QpW1RX)BSh=8T^-6aWB;`sDvCKGRckn-12v<$^|Z{5UT|o<=C-j# z@zdtJxhaQPgR>LsL&R}I%tKuKL2 z{)DMK+6z)!*P8|PAXD)%TU>hcZ`Zcy z=>uL2#+W{n5^Tpwd6R|?tGFh13o@I(=FF)GbctlGvvsV^Ee={#$23hkw1PFaA`P-i zr*tV#&_=Ag*HmAtoNz`e+89ENqfQ+E@L-WI>b@(89=lB^}vTgUQspAEuCOGL)gbjOPf)zbju z(<~Fct}mxKJ`+80dcgA2{5Cz|sH4?%+u<*!*cSU6eEI~)#uqtO7>*ix4(5CDzYUC6 zaoY3?%$2lG*W)<@p>kXV1NVlH8{T4~4v$Km72h=C^A&lW#doXe(QG1^T#vmf(=L zccpZCQJ`xovUiH}*FkE2#e>lC?ATVy^7rJbDN&HKLV|{(oZVMlyBpMl1&V{?`c=Z` z-)fkb&9Vj;9PXO-2G)_9I{VO+2pDv?`@gQ_f6FQLj35#6YL=!chi=8!{@m0HtIBY?F!?=%C?lLII?rpleXmF zZFi23(&t8Q(fjzu`a6yv<;VB2*7or}fO~-z?vi7-w zbN?ie;lY>h^fuTbckb##{({roo%6HPD(3Hub2IlgThzT32|lka-H)=!$MFQmyHSgt z(K|lr=7;rvVHvhcyI1D!$Ca{Uv(tND#y`++qV9BJw^yQT*KO8aj%(i-xALzKdMT&- z+HM=Io*|_Vre_~akw1Z7UD@nBJY0V^S95j5KeeLtMoQR=Z-3umY-aD_0F9gx{%eVW zY_**3y%KzsZe{Am;9SD@dsOCknd&SW;nTKbDWcE0WOK%>N{EV*uEz8u^g ze_F%muq^AkJy(|UYi3=y0ts0)wZXZ1@H?y3GP$GczDLgSsu0D6+fi@@Yg-hBi{}M^ z^TXMr!1cjYfmVg%li>RVJ2r6!W9)K4saVSsP(!FEx7q4JDj7@GXyQ9VTF4u zq%P5#hP`&AI-9M!;c_dyVt~nvt*XOioBA6uM4nm%S8{+#0>qt5&@**L zEY#K0kRi}c6zs*)$1Ioi>h&NL+}vmX5oQuA%!M6g_aH z&YZqY)juWnsLs6cr_@B2a4hcp{30)45%1E`e*gxwotACj86>#TevXKB<{hMU$#quxxgC z*;$Df@v^g0qG^sE+n*Q#h@ugKK)i(=!YNLJzvwH&nT>n zMB=L^L3Xg$ids1ceyfKTl!(DA}58GZjhxhAmj~wMyQMAxm zz^|4&WN{!(j34kVf0qD?ByM)hYqmgY6YCHuO6ZVGh%|oVpoXdpn~TOCU%vp^ro5c+ zB~DDBG#xD>P(krt>SrnfJ+np;hHe)wd2J8<>rpsmNSIX8NFc+TszDW}A9(*&*@m5& z4wx1mC`4;S`N!rmSrnbxglXwt;1`xtv1lfRfeJO_@bz|C^cKZ+Yl}O}obp&r?!o{a zxbc7xnf80;W1lg9UG$rNF}pi8!xfs&Umf%uE=g#{M-U?Tbwml&u@e73T^p@@3!Ptr zCf?JrZFZSw2EDe2Dcc_1jPJxe~&gH&|uk7Pv%lCI4nc55w*Nurt>rD=)=YUE%Y@ zY6{O)22V~|JiA5 zWuKY;e790?`>4?7n;Z=b+B3=)_S=F*wSDmFGGwk2CZGOPWEQY50K!8qNUJszG_5%h6pQrC$%?U&j=xF*fj zlo#>!J$l)?BEq>JXhwUWAv|eGRaQ3WOA|}hwQm{Nqm*5j-X0OZ5mt4G*15|0aKSRL zbwXh8|HKs&z_ug9vVkkB+YvLXyF<&UKPcOV@FT^$o?c3S$U4U*woI9i&2G`&=#2Xx zWgEU82<3N093ZFsm$H2&Hg#foUI~kjpH*SX_WtS4r}5Rpe<|BPNhSizqq4A6(xh1h z1tT1J-6$~*_vF2%Mv7|lc*+h{?2xBpZmtV9ORZqb@+R{{uZuL;ZB=WUX3OJMi;*ep z^edWXYY4B)o>J|M=kI6Rp5605ez5{$HP7e5O6+BOJM$083mrauwck!)tMyWrMlf&c zs>7N7NhtYx*c{M!;@BapFIkHjXJocB(I+8{%Y7}|3IBWHu9(bSF;Yrx#fP! z#NV^a_I>sXzmHApwQIlf;W;dVUaxF4c-(g5s9uC>t=OZhUG{QeI-4l1Opz4)?Gtd^ z5Bu4&WA@+~qmh0YL)5(eQ}-?!Oz9e*(z5p^;ghLzx@&T?{=UUtW1VsO+4mP^TaI_4 zmHql7p2(ug$NR#&RyUc4#{*p}uNk~_w>&Z9W3Bm*^K}#+RaP)%yW%cEKh2{~OkgK^mBO6=;1O@M=Kb zKbxQ<`s)O(;PUzNU(_;yGH1rC$&Mb^)Qbq8>uwTNDqgg(?^s{2w@K7I$Kcp9#4e<` zVvQ53I_MA9lN9>zKE1k?ki(^d7t>pZ+K>QQHpBp?xTe6rZ`QA5&wQFfYB zA8J=R3A7=7Ty!cLBvN`L@SOlM{bc|>Bs(MYy%-fWAaOJA&j!3M0QO4|Zx`VrUZGZR z!M+oHN-947H(v;DB4_&Y%x<>09Ch`k-zIsrVtX86gUAdlBmzfhb+`b z>)Mf%ftW=gDu+Eq?JAxnK9(dRiYx}~;7-maPNqph+;-jB7OFRM6$f+if8#KrOO&8< z52WS6+!3>;b2Z<23#6o9qm@6R&86>1l6VC)-$YY|P=O3E89IS68LllmVm)*K^(~q; zeg2yOL0LIbZ#vf%bI}V@MW8t5^STNs&$TC$u8BlWlUCVlOPL!PWU#4}zbz|C>t0EP z>u8~Rv!Ncpv!-wU7(`e9i5{(X!?lu53;~8^cN4AADYoqz34Sv=BcT_C2k^r&Ja)mt zY^7%@2JZe_`ut>y4(>4;*n9Eg5W*|`ElFoDRcDvE3rhdqg#kv7%v5C}dgrfWo%6%-~TSLr(JuM~2Zq{M8 zSOf#0hssn`PUA8+xz`l&#?p0w(QRfwO#+N1>IY;K$Gi_9(S&GxC_cTHR*HR zcGF&3n?C2KSr#~@CoLaBG-(*!*a{^0-b2DRp$b-33|8(Cn>4oD)mCRY@>T-4SzGvDPI-rKU+ja)pId(TRgB0H>jF>MF-!g?VY z0Aq?0fWE4ixoT(nq~&%>$;Uc;P`RcxlCbn$Ms7I`FIvr;ZLx-Y4w`^(lDj^*$8n|~Lv&2Iv|_?#EtfWGm}Y8(+i9y?Xe^tfy1pzX2CQvc>8%#YT_qSxG(9)W zBC*Gbp@)pYTQiol+@xl2gOd^^!J@=e0BhJC%I>5I1+X#`RGo>&y_H1J{hEzq+mZyQ zK1&M8U@(l0j5Lc3$pG66`kn~HCJ#&F(;YH*sqP5iK`xHdxK#Z&S;+ztytQXZb&kAL zo7)EEQb!P~q0Kg1lH;aw!uqqPq*ESFj%}};QxN0~>1>tx)s;ZT#QkDSwOz~<(_aD8 z9F;R4)pK6Z(%qkoIl9={El&h>Ckb+C^${?BV{Sc*OS7WA(g+ajV?HuzrVzpb(5yszXu zFXTK**Qv7j_S?9E0OTS(!ZV-yg-t`+n_{ z1A~8Wx766JpH2L2|I!`&272}P6Y=k57@AUj%?5Gc zsnrL09s~KtIaSE1V!WW}{3BNIzZ*y+q3E$45pTA5&?68A<#QtWj}q1CyGLrU?BD8g zPDD>VnWampxY?wNk3M~*0LB;IMg#+Rxv;|HC+5uQM~xb>xa?VYjU`FF-g&r^}f>)LRxIi%~i;K5&G)Mqlv;XYalo}Df_50hv30ITlAp-l%gzNm+-`uuVBr07&XZSu(Qta`%?Ky*#3Pp2L)+nD zqxL(IxjaYp_<@fDDbg8Cvsw=jbX5|(zUc<<9RHy~?^hkT0)G@K8&DB8*{HKK|M{*;G! zKvJ28OUtzmERy_kG+afuO5>tX0Yc=0JotZUc-)Swb3`W+GNGhH*a&0-kF7BZQN% zz@s&<0I3Z5_i*9?9g_)lpltu_Nn3BEDPjpqWZx}bWvXN{`A;)Ck~My3Jfq@Nl2Cho zsq4m*54f?IErAUk41&%~Yj9Y@$(-VVlNc(z*s(8?JJcJ(+a{_sSsBUmVt_{u@DW)E zadS^TC(tSg{w}RK_;<5`j5YP1Yf{o>jVPWY$W!D|ZV4M$Y{}*Pbtebx%3_Tzt8wC{ z7LiN$^#@0w(RYa?7ZliDA~qb%DAZAE*{e%gE?!+OgB`;VptycVApR+dCim(LRe%5G z8`Wse9`Nz=E$mK5>MMqTcwypRjF8K4NWZtfBsNv{IR1wp6A=u`ET3YOKy>!$Bm@#s z7c}HcYVo9+5_tY|jC7z93nWv*>n?XC0A~rVzfwmv0*$JRB@eZ#86A-39kgWZH+&+} z=64huPdRY!S=jyxAy6+T2L92JcvUNeiy(A_ibORb{dX?!+aZmg>eEzn_$W1x)K!8O zvEQ<(k$B`AGLc}znGho<+dgS1RIhcTf>FNotc$&;<3FDOSNj;7&~-t zG6Sg2R2h}_D2e9#10<(((-aSR27V6tbC#IT8vc;BQ_!%$&3zw@OFZ!SdnBsqPZ`CX zwS;6b-+Q=k3hVcAh|N9G`AhDU-+A(2&pEJ;prianWdKL~hJ-RuWr%VGt)a z8fkV@CnIh?i@B$~gJh>}AWWGQ6QRI3pv3lFGfpFJV7Za@cQHzx(0r(itLanXsr4EC zIE!)UtE)U zk>N(vXzE9C(yqnNwHhB2Y>_1Vqv8DV;XjC22Q$g)4*4Vz-tB=#%s zai`pkSgY0~&yVc!HQzx;ouX<|_m%erm+!_r$7Z^{4Z&AGX_^Sts@AMFVj9ufgjoP4y2~H5PV!<$9`n=V33^X@hAVQiv6!MgXwUN`sy@KUt)36$w8C)TA~3f z0{+dI=`jzww9HdSxu45xn1As)+0R@UV^;Q5Kh93Tfb4f+FF^q$oAY17L$o{1D0%X&^0NMBIFF^J~APmU%Qhfokr(b~Vd!-j3yW|DP_ELBO zvIAa#><8HwAlony24sJhegU$1UV!Wei5DOn4F+T2k* zn!pwp)|KD(8n*t9N)X(kJ-;5*f+>aVEt5PIpR!!ru0)~22kspAlglmF`3V9?TIZLr z5PY}%YwMud>(Ae(+iob^Mb6%oKdc(I{B29%zX&+L*u;Ck*(cW4`Ln{?kEi|a*+=yH z5Bt;Ma`XLM!rPmg^RrXe_p58rHfUq_Yai#I?L(-hKs;^i$rfU9L?t~*g1`R0x38#| z*ch&Hx7@b>_P5XL{}zF{*a&)9*X~400L=4B-}4wycMuVZIO+yACO!%#Op9Q%1mG@U zkT+n&`Z}=HBNSa=&>djJa(>n4g1Zs-Ws~<6F(ZoY@Z~R^Mr3$p<59X{#P-qAi9w3mr2vp60AS+ajhJsV z9)JzgU|5jM%;#^H7)T1$A&3KfQ!5OCq1Yd-zxn9lA#Y%MGX)g+5-DMafD=R6>k&e% zgL4NUcoQLZA;AV<)E^7}Z;0{SJVPhMLzuDvX-okdzC@->VFHO^td?N~#DV37VWo+I z2^|EL#Nh~qAXV(hDgMYAy~sJwmn?g70U==lVd*wFfv>{gP!$0@(t%L)5KOb8?*d5yMNU7N;sFV!!I=DJI0M1-MFe(QsBzfu zMJ2wy8pK7dM2HnfRigUt&IK3CiLT_7@R|?KU*DLIFfsOmCb)yhK2#%;rtSpm|lJWAR{8l77nk$CM14l!hd;nj-V| zPaK{49NnMHd+!`ui@r1+rnEGsjOl;qS74r0pq>^mpB12LFs>u0Ek$q7%U>_%xdfN>L?v!D03V&OAeGR zQ=F@?^hL_ROe_qnu|%ZRM5JQ?e&^*ZLF%ZVOl0gu^qv$9wk0xCB(gX%wGt$6k{xow z2&!xeYFHHN3JYpi;8bn?_HM_?bp5Vw+--j!%{cHvImEXhm#%m74gqm@P8|&m9Usy zg{A!gWggpB93I*I1>r-z+#ZT6PLHylSRio6X?Gwq)RI>i!+2OFcsSwdXb%v)6bhnn zJQ6!RGS&=aG6;oT27z5B{BY$fRy*nkH%2l$W+6OwGQ8IhA83~$T*nzaP^Bz-yDHXZ z+c!e)LM65$$G8&1xKiPnV#8n=RuYBJ?s7u5N-4N%pK&#Yvs8|A1eB@~hqK={L$sEO zjho$dhHc&};hM4HT9jmiS@Yg0)z}!?Sdrm=c))Q+%P}m0xGLqihnF@k))RXC!bO}*QYSg|OOK_&$gaVE?-zMz1Lzs-VFyxRIc<5pT26ptuni zsmTP?Koi#B!P@jmw#lxb$+NEs8?G6Xy4e*Bz*9#}SWLvr1jP+PK$*Ze->=h_0Ga`e zz7$Z9fLYJy9|OzHj12xe*sX-O2@M``eV<$VKKpUy`;{hwx(p$)Q0&$%vQ`Hh$5`Li zgOvF3k{F>Ph!SVp#lz3dc)+r6+X8DWyCq;FGiGfgo-Q7Af!5xrWUpk}e$X7p;DG>A z@IO+5fUr9*mfMCs+K{|kF@zzu4IQ}l5IjKVc5`R1ZU=#V3*b`>49I3m?P5WXim&Wg zSMOpa@8%Zn<~53r+vwav>+0cyqqT2&W`&?`bk%r5?!&uxoI2a%L9{IqoF0LLOzj+m zZIr?xyL@my>SZ zjRD0vA&e>Y$Z;lyCG}eiCk86C_R2P6NDSau4WRiAU_c87P&)@u_Xk|x`GAg_enb$( z*kdQ0c;_1qYAeCA?97zM!SL^c2ogh+M6fu!K0S3vF?^_0`B&`YkQ3=}^$B6V_s6;x zl3(b6=7=V*lwoeA;f|4la^VqimXSWT!rs&o@2cU}mR}_!Bi}Yhrj#>>jYi|WM;Day zVL-Me49I39njs%cd(7Oi&))DJt4|#}DlLEk**y^>7i`7n!sA11<2TABe^STIxyBwJ zf89Qgw~DQBDbvTPL)OConOJu_-36l_&7i@G-tjF4|9$I^dJ6PLjQy zq$(?+5t-^Tm|{>VWlEcx8k%H#!h7{Jb$kK?vN5Vyji)yhVL-Oq+t%s5rD;(SHyDsD zfio@bP$>9ihC^sZaTQN?btYzLMxDJ%Q)HIZa8`G;N-u4eC1u8_6&D6%U~k%jl~7J^Ub zL(&!^n-?OU8ls*Sh=0%jP$~azyqNZRG4ZJp24t79E~Ha5r%^1`2rcD4dE|dt0!b_u zvsY%WE|sJ$RYne0i!A3EE!Rg5SEMZ?b}qGi!E1Y3euJ~p)jHE`ywYR5!Wq8Yn6@%> zTGP+IGWN8>&b2y&F*o9{JojZ)J!Q29+Pb z5>QMvKpzZ1%>O*4=`uCi5AsP!n8s5yip*&PU(oFM72fe(?`Px$2hjhT8>L_ zwgp<-B+uXEdEO8-*(R9W;vZY*H0qZ1*^&3ziJRCK#oS?{-jTxGrp^Z_i*AUW?cn|n zkQ(cGZMns>hKd`t%NDggN43l40}}Dsg>c{~VQzSe@(G&)UmoaPA;jiemk990I*IgPfj{8 zhc8aX%h6#0_e>P}fYVFEy;OeMHF4T`aoPz$-+D%C-$2`2LxZ8%N9AWP0r$mO1NJ#A z;J$W5gQ3`U;%N7xXf;%5&y;9@S7?=-FD`b8(*^Q42vl)Vz5yz`xCl~52^2>OQ2*^u zh2j_U+qd$!?*%gDIWnx_rWr@38%O@^bmziR%{>+X=~%^N)o(lDX3#vzR|-R7ghu zG~BR9et&^zqJHy&Vs{`KR^Gfc+!r?=q7n6+5Zyi?>Z&7psv&A~B5F|~`n*E)#k&1w z3D2hvAFKw?%LyO$3O?c$JmSSI0`?sOCm{AU0Ei7pjK1Tpyh|AevP}RpvFZXx=Ku=0rr>ICWk)@#c;`V<~cb7qJ{^7#sLvRW1R@~h+xJz-T1%hj7fffqIrC2Fe+}*8|Qrz7& zxH}Xro=yM%XV0^9&OEzkXP%jzow;A-MUu&jdosWK`dr^DWd;W2uj;C@tPWE{NhxNw zLj@{DBO2)QxmGMZLuV`H9#5$N zeKAy0VU))IC6EoR1N+^nul=$cejxBb&y&}#WS*Wrxk!B7&_yqDRJmZduVa$?SldfP$S7ixYSMklXZO^Bqx z?DtpZKOK|WwP@jV`-wz8P8tQNKwA1)dICr4-XabM^=^S)R+4E30>WIh=mvq7?B%dU zHvxFqBC9mKI0Tm+^u2Jto!={Vm=hc;YWtUOyUHWR{N>yId_y$!1H56Ba#-};Xoy&h zNq_lv)^Q%@U%sshPsqSY@?XBq4d>e!yrnr-fB7~)hTv=n5QDJ|%aI^fWpb zAc?-75P;Pmq0&Qmj{VV4>9` zP#1wCZcPo^Sv@L?*+A4+p@1MX+azfq3aJszJPP?jjv=(K7-c$B%ElETRJV5%w98ap>$%I+KEFFr15w!ab3%y8^K!$nzuM0jtV#yI$3%;s~vBFy@KCDHl0;LB`ns1?{#Vt=ZM4Ajg^b4c zIkR95A*ge=#t$3Vhf7Yf^$_+kk?lkXHtAl@r9$&zMfcw}_Ag|K^MU+ci7RX4FOq-O z6Wo&SkGo$=JwGC9NdrOhzj2Vsj<;mc7z-x41bJpAK-iKKd+mA(_o^A58PDnV>_W^9~ z$jRtkt$d0?S|#zruVkMH8TfEZm6cR=4%4m}xaA#G^`Tu!R?NTtXCQm#mryIKreKP0 zrfop6#7XH(e{$)Z%+4 z;YhlQxTgG-%erA_WcFihQiY8myZ=<0!S|}9N(LmYfHjP7*nRq3)EVsNMy738dm{ z&&emrXh(8&V~$vR#d5&+;Fv$=k@boh{0(GF$k9*DG&T4%Oggw{AYAu9L6t(zjQPELB<^>fB&iNH*&zN~)--_(_ovN_N^mszb)E z$=_$pxWwm&Ux#U?qJs*^MskXr{Mp?Vh!fjcu%ye(0Ag7W+0Y zLDodzGnKGcu>V=|WMf+Qe%tQ$S+wl})R1$a#_~XZuXT&(^y#{s<(aElD#j!#pPI@- zS;?p4-w{I+q&?tS~v&vR>zi+G2+95HOO} zK$r+0eKN;qHT6XTW1(I)N1`Z!B`eF0vikae0@<}>(`gNYjeV7FzG;;CMd?3HKwpgc z`=}pM45h;~;%3jwX~&ZXzVlwVxCg@u7>~QqbC&iKL&&6Hqr^uK3vy#~|c+G90jpMmzQTy*%ecB%#0QrxX zYu<<{tHAh~0(5H4nv*(fm$JAJEfhrbQWRXe_L`V8ey>;bW_-l zbV^(;;K(q^)5T+bW`^Vu7!vm;YoFT~Ua1+%Me}pVi}da(zHgq*OeLyLiqQz>HM47> z5QjEZ^-l86KcflNg6f=QQ8>QBP>+O^%9sZ|5^xeOcdh&1PPt_xWw4;zi3~GoCdGWr zU}r=f9vZ}d*Vx0j=XD_ZI*2Q!n_(pmnlZxoQ)sLvhUvJ$+HT2G_x+MtLiT$K`?t?G z8H1*FdD%bqKM0xp{4zEp$@pZZsz#EN!o+fqT?P*2oAJYq$u2puo3zVpZh;-`m&rgK zZ@R<^f18*3nmblwKn>^buD_w)JsiQ(v=#)kHv)ovj&s>QhGDpR1$*9F6sa~riP{?V z>dj|Ckl9Gy2Of)-q27$jrHgO<63t7M4ex*9#cJh4VycsseAi~bygG7k4}3h6LoxX3 zOy6V)id|qde7ljlo!(7L0dw!vPu(=q+}Ui*aOZxvT>k>6a$wx-LLl2~v`ms}SifK0 zu9<7Mu5vfisoXB(VJy9qz-}Bprp1H0S?h$-CqMF)Bnbz}l)UrxL%O`=b=v97r3M^>{0R?sHNs|4}am)yx{jey}_ zR_r|1^kp{UY<3h9_Q5p{@7SE8*s${1KwCoC4?+W&!npNhL+n3Bx;rUnI(eZj#1QiF zsM@ByS|18Y%3>em)` zidrh`K3fmPiG7(ypW5+++6nqDih6eNl<>^fj~Db5Oq6vE-jej}B0oPfgrwuJIae%4 z@kONbaW>Qq0l}Pz-J{T^v5O`?q@R2goC5ruiE5ll@4AzN>krfUQ$9$fW z=9=Oy)PA$TflZp)6ii~EGZ?Ht%IrzH7 z>bk}Hdvuh-AW9tDt%H$DTrCw*(;P7mb+MTI+w}aCwZtUB8FY7b{ImW;mkb4?AQI_px)zP)34IMoVGz6TaOecL!q!jA>UCIKN_PjNR{wP zfv94r_nnN@j4GMDB4?Ql-osF>_4v(9XPpP{hkQlaf*)n9UCzt33|G8u7GCJDu6Ef1m~YpwjMkQl zR$yx@vz*p@J*|#MNmNkVNTgP`K$|a8Wv^bFfUo*q)JRhPNKkb5QMw$Sx$iq~9sVY*wA&Q}yRI)jyK)c9EqZrad*(w!3(hij$d`6st{gS8iQ@M&CTt`w!mlx0Q z(9zuD$TYc74o4ZDXA9r!@4-Y zzUm_wJ2RNq{er&Wz-_Id5V;h@$q;${(H71z32j57_RkDb8)^C^R6Wrxvt;HP=HIpB zuvlJu%0K3hCTvToau}#t4@M8k*XSBBT=&#bjHMR{W=3~7BuzQmjQt#z=I~Q!*)o8r z4dFKQ;t{sEuk@Cv%k-Galv}rucu3%+cM4w*Q54Mo2sNeVh!NOqxkZxou2=lTDA_nN z{)2F)i9v6^e0U*BR)JBg#dsmish`7ag0rFt^+`68NUn#WTSKz@lXaWFwcP$Y{y6y4 zke;^q?>`ef2Ml&ZKS%2m`x)I^9RDgjh8{nf#L^n_2^#*!>LaG?tB96) zf1*l}INhYMc6CDbF|*Hi)U+9D3NQZ#gbur5nK3gcE%NsxXefo6_p>jzzIR^k@Lg7= zYU63?=OwK7vmV*el^eiP9z0$?cvv20Fou$^gpG8E>lx2H$$gWQO6gUecWIy59w2`j zn6EIuTr{>gF@B*jxJsm>&Y_b+`3k6N!e|cHL=zJ$%zzYbuZ2^wAN z+Ig*d@wyGkB0RKTg=%D=btY2ZqPJzaZ`lZKbpqX$Q-{bnq=0GiyWG@@#dM7FgthUc zv-TX-##wY^{muVwB_#$^A!dtIoO1fYt>d#993Y9SwYiLzn860 ze80uyK+@{)TBitWo@s8i=6Z|;JnbQAdO^81AUED9`I_5c*CrW@r_Hp1QnrrN8l zc3d8qsV3Ao9GukktgsC8)9Xu`L1~4kF}4jBY7OrwNsXDsf@T8?*1tVy$rb(7TN#;J z`KcH-iz6iEg}-4^xQ!pSqLwT*Um>-$G8zB4ZHa86on>h~D-WXp>*(3erJ3z8arS1K zy~@Vg+|95lk9lRaHC6d!&;i-ByR=~u()AErIwyQB#Q3^V@bx>$Zd#Rt-I(tEvLRpJ zxC@q^K%4DPvn}^!+b4wug(q84?7j9Y$+tJM?-bY3XZ85a>`?;In5*yLL-6kXwu98k zQg-9+GlNkclNo}7l8ELZqKlETpHY9N5}M>5QqeMUqZVw$&q6E4Ligh4UpUv^CmwrU8;2qO! z&DQC@-CXKrfX0llK~vAkFd%lOD0bm3*aCfYCQ5$~zZTS3s`NFqUUh~6g)hAY-~6G1e2iM7N18z)G0G)2 z11QWqxtw62?ky18fk;M*Pv5A2Ul=NM#Ov1@JuyO`b0p-puAXbd;+h7y;1sNGm}y7>Kc;rRS#n57lyA{W^$pY!6}0J^oav8{2oouR{Qr@*o%&6(sDZ(zkS zuldL|Uz=pbU2J6)<}hN=cP(*g^=)2&WXqoV1o^$%bnNAW;Ea&%Nr<0In7LU|*aA4* ztmNjm^!!Qm&Ph3!yZj6ND(X{QoAZyawri8G>I_!u8?VR>odO%T3y0loz?^{^xhj7D7tmpUKswEy8$1=SgLKlo*J-MyB)W>ajspTF_=C-zlCw_ zeh0nb)U<^#d*8_4OsqNxW$#XfUCQWhi3%I#pW4p9s!-H7YbRWHUwtE0tt7n$i9Ugp zGo8z!x{edMV!k?ulW3)v#yhKfL@uu6+1uXVP6--~sm9+^JzbH^nbW}D(~ckg246D> zt_Jtp7l%%Telyvlvf9^hX6v`PpW8|JG{kwf8k4E6S-z(|t zz}C&X!_WJX(^0tXvNhzyY1|vkz5aO=;*sTuayldXeh=O`G#1UH8el z-s|*3w$BWu{m1uC&=u>-wLjD+_gc?BFr7UOddUtwuCw-2OT*`lYu8(5=FJGHA-3_I zqZOOPu;X86o|aw?!);c=An#G^$77t~&iMnRGehCxwRQ~%Y-V>h>v#W`t%3eKtnr(n zA15WxZ)E0uV_fW{#}41(_z_jxC4ii^!B1YO5kMpqd{PUofB*mn(UAQ@9C8#fK4VwF z`DR{JG?`2Q+QuY3IzGK(BnxXEk}3h*QA=;|A*-ig+lqa#AOMD-i7_f$bXXuvpn!yM zcmBcLs!1mHJ{v$3EV3fU5|bn}13HC9@&iW(bR$Zu-d&b-IaDZ>_=lR4$?otkFWv?M z(5(#7UeU_kkn?%$bLVwL;KT3?3heQ$6eGz59gp{G^OfRhWg@MO@oiNSgxvbJMRl1p z@)X>lJqI4enpqNljvx%Zl7&3mC~}*0!cv`Pja1p4rS}c%lLdI$LNVkQ@THr^zji6% zOE;(BOE(*1C~n|OH{D@3oMs~KoBc8Lc5RgRZ+GXioz|$Sd_4|!%gd`>sh;1T0e+vI z!K4BZFhpnqk;y;6`7T=%O)yC8mL>#`yyOe`&gjFqa|!Z^&^E{51F!v--@t^a1X9sbR3UlhT!+kDJ4p788;*5B-Qw(sp= zKXu?CZwa*%=@1HqD+^SS;_Uz)YQdY1bCg1Fqcl|N)W6y7On7#i%43ALjNGxnosHZ+ z!##|wGFcmitTvYSh}3F*JF$88kbT!4VuXMHKh&=Ul)VwDWkzXnZ>Z2H#!z6k{(!iFbo@!>D}F@*)`0BJv`KYxb@9c!rGr4g(L+^MHW|QE>|7p9|vE#k?^S zb#zpsl8lDx7{9#=V%=r4N&8%s=G=^4oZ$iey!XQAVzECv07JDT*NLXAgd$oD!+|nh z=f1Bn#c`;#I44rIthA(TsI0tZNVUAuYQ34gx(&$AQQJpX?hGRy5&MYTFl8W9`F%mP zmh*pBvHv+VMW8`?bskS5e`v!UWg-8X^5EOwDt1Cn0TP?#XEm*WnvlsJCY+AXnsgoT zDz*&*yo!wy9Yh#qKEkT?6+>Slndl#jtr9e-X-nL&FU{$^5oo$j_w5C|iY+q`_19u| zz^mAw;ZVI+J}p;{>J{$Lyvut5>9!bjq~x4_{H5sKls)- z{1Z0wkam1sVv$7QI{y1yESCZI7cdNM2}Qj;uZ)tn$xf3|Rs!^6E6Su|Q0*_D2n%Ra zPnA`MkQ36b3RpBsRSk!xlADpDxHq`oH;e10nbZ~uwL0Lsr|Hrhd;EK5iZMftre7k* z=%^j@H;}Dgs%C?MlYW>;1tu!f9?jJ&R+TF=m}TQ{VKcDK(XVt(V!ydQG<=0NR}=X? z6f#-;Y1GG{p-8{d$p$lE<=&vlk*DhID8T%{B&a9-{3{CLlO4!$*ku#njxDbj*7hPq9BD^hv!2Bqjkwizs$IV`_;yG&^+=eiVnOi zM`k!3JS&};j1%g6I)Xc^3Qg(-f z9`BVk5c_0;0^xz|1J-VxCfSIeT2{OTq@XW8a}mb)h}!=rAXkh7(7|UK;jp0?0qIcdkKIhc?w8V+m52KECNibi*X5Q} z`wBnA=CT?Ei`+AhjDIxGw>^Ik@X&Cu#7UoTW4bB$`ebjzz4Q;u)*p42hqLUls_XBy zCwnl6UHa_oUzV-0<8}sT*{6*S@Ibc9ALw%OKP>x<|JTQ{>qg-go6%FRy@$D{n?G%T zS@z4jRd=D=PFU+vz(>=KB*mt5+J9K~EH<}Lw;|^_FFcS<^75u%ChPn!%MLzjO8(2T zg+Fc=8+dmbuU^Q(S+)==QhfST3bU?w`k9_~OzD=5&ujlBaRCAMd8e zpWgXR!&!E_Pf`B!X(?jMA@t^c-eKiUmD~M+k<`ce-YWM>H>zVN=7+A8HrJoy<|p>; zza}@9om$VRMjTxQ*AUMByhhEM4eb~I-xJ9GuPhsUkx>1(10OUU^9Nt$b3YyEw%^aS zgKro;0#rxxU)++00fk}!Oj!93Pbo@_xPTlciQpFxG<|qNnE`%}5NZUg_J@tv2S`SF z4-X&07#~py1Q6kbmY+wau(X3`Js7UE`2{-tNdbSZyTMq&D?d{)^nkqUh*{`p&#kW? z5eEK8P+NLE4gNU8E61O-1J6kI!8@BVBpWS02R+Z?Mt>Cn-qiM8&Tk5%z2Uvu-G6_+#tN^Cx1rd$CATGSx-HO zzuu3uP6n2sMZJ(i!>6O5wxZj$*om>^FL?oorscOVAu#I7W9`5hqV=alz{Q5*T_H++ z$SWwNBY0JaUZG(nOnb@IWxC$aAnr zJcQA4bBjtEA4u;XM=uqY#&*+<@LP$>AjqF5S4I_zFw!ltOvZVmBtyL|#lVoqYf1i$ zO29_vADyd+pC)IuEq_BVd9OruZ?XaQNFYX}*+xWE9mu)G4^4Llau@Ent8G5TJJ>Cvky_m$#Wc$>6VUqfc(-|J#C`x=?z|T8wxAXEVo4)kbQ@=B3yw zY1xkEu66TWw{#f*_Ze0DG`K)NKx%+i56Ec6SLDyZlwWGa4*(Dt!Gaj|f^hM7r1t3m z6WR82sR(iO{HNVu>qP-@xBqgg6F#}=vz3(roLNibN3P%)1elXY@U1eq2CcY07jD^X z`|C+ll$j6>Svvuh@spV{$vXHen2Z$}X_@x?C7AOH8R>;+G3c0W?)%@ovc+$vr5r=# z!Ozva2)7y9HOIDfz7O{bDzZ=(OJ>ae}p+}w%EUlEb9W5imTM1Zm;a7Sml`& zT6y4E#atLe|LwWoI^OZab1D^Ia4laqPAn_GwQ&t}x8`(F;HKNDk;VTW)qyXqimj9~ zj}6dK6xGJ;0(Sa{QtbNN9oWp)G-gQzmUGyJ|Ew^!s@0X3&;6trI|Z~ItW%|?b982O zCNG|yw1FLMH{tqp&@W?UI&(~h_u+fW4aRiN(d?U=|f~nSGz8NrhKlzycjtn^mr+ zL)WU6a6D(e3_Zvz*Iy@q2S1;ejy|83X^_nZADoYmy(=-nnt4#NP{heG29X3ZHvDfZAQAh$t*I0$EvdnE+Eu} z-}!WR6+&yZc`nPf>hk)JU-pg_dk2b%PF*(p;abt>st~Z;ZR|cYtr~H2A3$uuAHbE% zi@;C11?K5iP|blEuV?GCbrjLw=5gJ#G2-8Jqc@Ymp4pMgtp2oB0WJ{{wo0xQ|2GD* zv;V(k*?dfPbxdx2%sY?C83Ipfdp?`N<+k0E(|;dtU-dOz^@-hd|DS}rr{}ca z_@Ab>`Fc@$O?6FncD8kA`afB1=YO->diNjHZ~YZ-L*)L1gKwfmuDk-`V@yeG-5XK?znbSg|H877+u z`|szoGom8kTD#Z9!o%bJe}L`(RM6g5#MqR>*pNYA1*0#Eqe8{dprWV?!YKbapB??A z5cwzvpVJGvRSdZKpZRRB)4yi>|FNJAH`|)cvTENA3=H6M`yaL)D|dHzQ&-1!5;Xu#FbjLIZ4~0ya<}{0G?nThJx~77!rh;v;0? zBBbLWq+lZ?fe_*_5uz{;X zBu+4@@!p=>CC|b#|6CY)$Cr+S$b;tNqQX+?9a(fraAhmWiOZFr&=-W?K65zyy)=va zwU-m~loe<`q6O0X_m_X+b`GElCZLPe>vrf=Su4j zd`TUUXm3%1{QiilCtGIF=?(X%A}(1>EV(dD&wZHf0Lq+z85m*kYeF@|fW~4VSqD=1!HIa>*Y3=89zZ=G>~Rrn zp6pdEB_{qbF7fGwrdP1ec8u0H#M%?GY=T!m|D=|19_31BtQH02gE1Kf!`%HbZ)Ax_ zoUSHeSh{HeSw!rPydG(pm(r;6was%ae_Zw7+Z^5tX987T@eZvuuDbQ=@SKav#D5`G zK#pR@E~vmfI$0c_y9j=pjHW0xcs0x1AkC-_Wd6KsOFh7wm)ifh2w&jFjSEai{9P%v zM)5p;ilSm(RaP%tC>rjNb&eW{WYu9MFz((Km4lQIlvt0BpvhrFYwnoA3Z%qzNE%o| zc--T*{mp8CafwwaQ7_(*bl`78zajP9TO4fE5nwT;zk?qni$tyU={3bbE$lY2{cRGu zE2e0`*EeWCT{S?Tq>!ZF;TFprj6f6!M)HWiPGz1ospF4RC_fwAcG+R|$ZI_G^AC8@ zlW30lAgNN5k?c2;wBZ3&|M6~8KL2*9(;syfNe(=;nc z0rQWRyb`rFuk%<@_{~UZ8}IThD(|A%DX!A}*0n+}7$Sggl&j~W_e6zyS%>j;>btM8 z;@D;v67a1gBteL-=#mTo`7-5qC#rh9etjPtjdAUI8^F5xTZ-QgwE-##fqe+1CQo>M z@zCq4*1;TE9g{K=*};hRje_%lZkz$o(Hp)5n<#-hih|_Q8gxt90bdmT!9!kJGz(|O zFo%H~7tdTsg+c0oDlQq+?#sBflYqEbT=uhV{fC%JXTi5qL9l`bdFDf<1SVurCcQi| z7HB2mKoKC`fmJBUXdQuxmd-b%#tr%_OU59$nA1E-vv+jLDXx5ucr@|FXoT$h8KO|z zb=>brr5(Ls#H9+Kg;u63)#^^rbivVtnKdj(+2)FEI3VKgJtftfnxBbze^}BpngPsd_pjJ@?5*j;R< zIE$cE_vuieR&4IaGk)c}rz5s=v4#Fu__Ya7$27d+(D^pJ@AXe7#O~tDd(?P8r=L!- zYQ|wIcG_T)L&4m> z@$i&3jTHDowCZsO(sDOeEOM2PbAF(ky#YT;>#DEz3wqc70DysEw|AV+=UcxXcZ-GZ zr*Y1%>$6u*QR{(uIlnFrdI2N>KtfUgDH0_DhEk1-_^!Ve53{T-0EUXZ*+*oafOG#l z;5tCw2Lbu`H#R(_o%ja9HxQ6$0b2VVI46yc911~|Mqiu&v5*D91W6bKv805sL||arLlUJ!xa~pwO++YK zSRx-n(NGA`q!G*(Ld~0kINcE>MZ)$0VQ%LkT1Fufis-5fVTm0Ot++7m2#gy$BK0?+ zhE2LcUjY*n;h*-yHTLlndBPxQ$R9cZZ%IRKZ>`XBKrXO_Fx?1{F5Rew_)$`!av^zCZ#}>en+_6eijLfD82<1ln}K9d=_bP;_VF2L<0pb zz*i$iN)BLu2n;LUkK`DLR27L5_Cly-i89khZ~PEkCyo3cW*gcRv#cDWGx1qxB4$%0 zcKbt2DIl6;0DGq?_IM%o^fq>90CUs`{r7*E?WQk}C0~*PqE(c?Jc;~cw!P!f?qcgE zqK6`gv~gqZwQxLH2%6C%L;^APZ?R*oNk%?I&P_z|Bm?FEaVvlj5nDh4OL$+zU$#BT z5-8mH*{>;H00DV_0hR~? zl?V*eR0!ohNInAN^#Rdadh`SufUjbUu=!pPi0&kMLe#{4EYpl4G7K?Z( zq140Rn(^aCs(I8Yd5-0uLEnpG40@@_3)zGPqI%+a~Y4cnW~DJ50;q-#p#oG z8L+U-MPuvL!AyA=aaM~=*4EF=_0r5uR_k3+>l5QQN8X?Iy|X6BvZZgbWWuu3bF))B zv%$OB=yutM!r7;#SqI)ZD=In14mnqgIoriKcY`^|kvTYQIWX2-Ox4^6l$>v!xk($j zVkmiuw0ZF|dBV1NUjy^LA@oo}lLb`J9VamV1GoFR`1)SCk*!nIE~4&y7+* z6rTT^IbVvYfHSNhJhvdUvw&^4fJ~|22&FJsrZCX5kSVM%Ah+;SXCeJ=p&vrgN7^D9 z#Ufhf!hPE!@7$vIokf(pMP3NS9<;?|ipB3Ni`@f@iHnL^!;AL%iro-OTxd)16-%5g zOB@4BaEeMC;3;jpjS?)BQr^AdZKhHi%Th>SX?rP}e#rq+cv; zFfCuevAoGA|GQ7YxN7CJnAeQOZK*kbR;+x|$8F<~@L-7WXh{5| zneZ%)@O&tJv>9><<@)18cxOWRkmhzxp0`t0v4!FCq)Ld)PKfG6i%vm^`9J_#dVxdX ziTL1*w?shni-6=IbDpi{hgj~OSPlV20m4xQ#e*wZIRSGN0jp^iEDgf`i-OyUfH&Qf z-l>`vmhQ~2R?lc!APgTg#Hfk)r{qa6Jx@S`5^Vw_079N~Q(#!E0Q3>AkYv6H5j z&s%FQ+!m4OVN+H_d+$Rhdfx$zCd~#DrA;BDobte}4eMdV^Hgkt*5; zAfdrj`0R>05wxV$QqqwEwgqtRgGN5KbUHyeS+J+dgDwq%dOx=Is-d?~Kr{ziR+n0$ zV5AT&n$~UhR)f30Z2NF2nI8pt?V(N50ivYUc14kRoD6{Gv@NKGi-pCXJ+!{~2`Q0o zzj8|5MnS$WZ}Veqhds0%V?wZ`JFY0&my_GjeOqxJtxlIZR@FNByb$os+NjN3(0n_4 z+2hbtyVzQ~IF`G%jL<2MTU*w<1kAdHe7o;iFlp7>=&@XsEV_C>{^IWg@Q$=#nn6%4 zK;j(OWRK1z7G08*kVM?>n{r5EP4^sb+mIK+U3t6LAOtH81abzU_(ITlI`Ef!z>hr- z>^(w#fRf*BC0czVLf@{OK#pcELu%+H(&*{v)@UUuaX(uHy$~XQrkJ#p)xsV=z4_Q2 z{g@l|I1t7Ai%4dW-ENQ|aFDrp(35$P{8w`pWzJ`cp&Id_f)SDoEWFYT-><$y8qlFC z=buHC!yjsguq}s2P=^~@3Y%Mo3y%ldj(>Dej;KM0dwh%PeMh__m>Re*TK(X1n_6;;;iQtuZ)!blip|`EV`b|1{S*&pH6J{seQz=?G+Hf^ zIj!+yT4J;Y{4|YCF(d0zD{nqS`f*0t+*7r6Mi_4@aBn6MI-^rre{VKxf-nonnGI)e zG}0I|e46bTnzVA6u{NJm@td z#`#@?y*zd@{QG3>AIrV{kLBKvJ?*JEJ^Clc4Y%AE|5)yuRm|H}%wIKU|5)y`rU1+z zZ{U#o_xCry;g%ai3bP&;6Z`CU4FI#6=N#_0%if%mjAK;PU{J1MP@kO#^Pv4z+*s-NA;~i<%3nD3RI(dzq$MnclqHBs)QRVJh?6X5>@sk>N~Bgzgh0M zt2Z@QaM7)KcIAqD?ZR{I(t%>oj^dPqVv>zwmW^Wn`}!ZtePg3_V3IBEB@Rgy7pBGoQ(H%Zo9){#Fo_zN#028= z86sd~t6!Q%ItU3b{>=a`9VkkI!%CixRyLG_yvu%nLQy^f-%pQFXOb>HTAj}^aq4Tn z5+`kI2qD~Ts|oU24kfBgkHPWw6C7_(PvmBU17*oo9aywARKBti%_f%W>X$2alWRcd z9HvYBo=hsCf^`cuHge?}m5nYgKi!Xr=hJ_<^qIbUhoI5IE$ zI%@9TxZbMO9|v=e{l3bqwChVYQMvw;=@ZN?P6i2&0T&SgVH*ee$ztLQn0h<-3*2ny z%Sv8!;NpPJoATwvk4xy~#S{x5*aSOq^w>lj7I?A3uY4y#WJ@`L`cji z4I(JnoEY6MQ-cnjvB*3R%9zpNh3fKsC)bqP2QZHsh{lIT8%p{X-p-EB8OW36gSWH4 zNaKGlP|%cBVN5m)a$rhx?owgS@&&50E;2%%Ent_Z<-dcVA(q?!( z{EyVGAwobG;K4;Add!zWrA>^J#pE4<$ibzywmiN@2BHGdmOWf*uf4 zWksEMSVBPo9=pRJy#+pj|Liut@Zg}Pz+^)98#)$LxrKiw{3144wOM=h7=&sooE6B; zJB|AKbdu`}Y&cyO`%E{dVt&r-aIFsvzv`L%){ay}8SK6|j9;J9C&9#*fNt`y*`ACR zr+_+H@lzD6FbSV8XiR6^G;9zullAAC%vRiF?5m@a&i;($Zm7>Z^<|dWVjcIMs;4$- zuyb)vf9ZEh@Z;&qj>xlqDFDMG2Z^&p2Io*NgsA}))0{<);&6frOqeGYS0c}>IvHsq zAUZT!q9|-77wc7k^5Tg_S&nV$tFmD;lO(IEZdv@%s~?42eh!$Hbt@-tz7+`?!*Vs; zBBw#Sdd1}HtS>(vPG_UwvTQTH^d50~m7hb>s-l0WlM2-<{yTJ-bf{NK4u{%A<;Jsz z2FFYK)gpij3sAYymD=3X?{Dq)8fxfs%?6Et{Ytk`Co@!zZ$Pq?s_=?(bAldaWNzi^ zxCPAD)JU}LuQscdQ*c9prnH@A_B?qE&S9#h8z9<7xyU=*2>8$;o+Jt%1KU??O^H;( z(xy80#t|N#ExOUR4~p=K$1=m-vauTmih(d(Q- zv6dF_9U2viPQJP%STDn&e>1|qYx;~S^TUlwM@(H}2)`MdVQCW{@0dHR&Ki%C{k^E! z;oEnThs%3G4h5EJV<}~jOg>9yaXZ;*ucmIG;QMfmHTUWCF8VBy!Os#qqkzmY)8ea= zKVwI|x*so(SO1){w)rN1$v!ZBA-y83bxW4`iBx(2=^{KN?4sJ_8F3w(MXUoD&mOqv zxQ-~v*7;sr>lNutj*56mHEwKNAr~kG!`O(26zX9q;6aM*$x@qT!Vw{}V}vK=CI6MP z_A^s3-B3{pAG_70jaHH|iIZ1-g~37>Ngt2?4@Uu^Ih2Yw)@g2iCUfGN8lv|4xLfN2@K7hf%VdA1oNjx+W*2 zA9M2m7=C3-oRUkxbRZGc45{Kut)g(@cOcQ2DVs}c8Qv8Ne9ycPHvM6z;>2YZU2>%v zUJp-T{&R>9_Kh8H+B+(~e@-nAXgf1JPk$kM(qD04@F({vVZX7_NgI)F!VFXX8{#aH z%==EYg3BR`RuOyr#8b79CpOv+9g!O1w%-;vHb$B+lDi{}3)`hyNR0r?y!2&-CG-%h z!7S3=ME$Qe#v#8)TI~6GY!?>C!@L?4>NlzywH;`P*{SjkHtSFEoY-8CXw03JYiaA8 z?ec4(>+c{<+HYMYZpxYbIgHvtqHhW)mstf17J9zFb+7R?+lDbXsgdg&z%v)i+%n9~ zW5fx=IZu4aT_c54bFu0+b1SLF<)dq!{2$i06P&*&m5A`;{P1wKyIxOiJ(-;Tc!TvC zeC+_fx=Zi_u?W1wIWbdUZC)-BmTl!CktEgMNKOZiNp@B2TlW^0_} z8$ZOjJ3}LW#QY!B-DObQfBWG3;7)OOYjLM|a1B!23GNORtax#U;ts{3xVsbF-KAKe zNbzib_x<19bM~A)J9}pK$V~Dq%w&=QlI#00K3e^h7ZaWyT2>(v+172%u1Zd^PgY?LD?4S$QjcWr zNfjOy6>=KQ_u(BM=YD>w5dG5LLGzTU-qzed+uZ*k%J|egWXBU2%oEg~WhC6fqS-P* zM#;FsvwY37g220)nQc?o!qeMnKikQ7+Oh=Sx{D?*NG~oc)VilEwAoj`HCz9Ek9YS^ zJ=71LZ=bB;4!87VPw33B!Fomf+eugc9LFVnUg7w=%iVXV=EQ&g@ZDlGCMLFN1b3&j zwS7oyCz)}XfK;9RXl z%_CP2J~uXBMISe&f|I7JDBERxsB z`bDm*QZYEvPI+|#yCjr3qzpNPl5)y22qKg{r3m7`a65vZ3GxQRl4h|{zlHtoWyY-r%RR9utd-_EC>LmNe znkUzq87wMw|MUj<)Xm~c1<%Prgr(T_*p@^nnF!<~g8L#xhIzT`SsknRpGvkcTHhB| zaT*cqMJ0P1wTgNO?L@Zjn)e?+$qVu|1d)v#jfso+63LHChbHrhpK*Mn02U{W#7O~v zke5kYb|8S2_!0HALh@^b$Y9qYHKI9VS&wG<^ll)DHKEn^t!grE8>Emv72>9eNG}@K;ZBBWj_2{uY+ZzV(H*Y&_ysGgrO}G{lk@VTR2~LgkzgpyMhd4q)eH4{%qu{zDj(^ zz*7`08M`8R=Rh)K2FfZzSKhH7k8orGFH77^+`7NNgarFI@Wh-X(3o?aS?z%25CWgI^++frH?cr%3l4T7->wE z2GxyewZVS%7xjso{%;K3#hMG#mfD0W19J_+3!XAn_=?qY3td%>Q1b=i+;34`9waue z1*PkOUjERb&)IS`mAbHx_Vfdq{tI(ck(~h>Q@|Lhxj$;bD)MY+ogep=IkMQl8B>LO z&G%;M`51Na%0T=Wa?v*Q4o;R;UY3I}^R3*}Kj zgY1>ZHDSdLeSMM9*C%ZiOGPuJRnw?Zb(x-K)j9FPOU3=;ZAazoO zXf|bQ`pAwy7>zHsPu;|fw^J@lY#83dQrgnRTQZdEJ3h_3U;H0k?*sUc>NK7SFQN@8#A7b;O~? zTEp5Y{?Y5A9NR(-M(3K_*jC#g_=Rz0^`}7E=&F{bhL(S$7Sgnhv7J?nLL12%2XMO@ zLE<}RgBzO+2Ahl;TZ{+0G6&znY@yoz8b@b4`^6f1)+WWzi|hxh;H*uf5~a@$yFVvP z-U%39+;#|196$yp;?yjX5=FRlggTiDC(!69|=3;Yn+wDtxW2{kPb z#Y_)(TKu91XRlcVomr?2t|Ki<<1p@jmRmrRvxKel(zV+6RozGp`jFu@VN|^Ta;l9t zWQp%Qy7n@VZ?#jPvPkD-%Mg0pE^ZYuB%o7mtJ`(lP^UpVX<&f8^h3t{BZlUfv~HsR z?w@rN{&SO*rd?{sUk0k z+QELXz+wpYL7_?$y|F>Zq4Und>0!fSSFEbj;BgU!c~zB_TgoN_vK_b8?y1!ouhmd} z%o&TdT55^z_aQmU$+O2Z-O1`-;)Hwd5W5*wcBvFoI3y!})$>GNBj-)irPTStuxWtF z$xws3*pO5Fg3}4S_5`~=in#tZ_C`t-*yqmPSNuYs&_RL8;VaW94z}%zu>&CaVnfSp zgHU68z&R^==K|UNcb8f9nAzJ6hj)a(9r-(GhE~~RfA?L?-pV=FZdhHh*$t~|-hk|$ z{58iWUB>-?HO%WyG^s%|`~_{O`^{h6x8)DZdvrN@ z#-5Ddx=J|POj7Q{mXo0oIj1sS_*j3amAfD^-SD?|u1UID9-JY2v#2uUrnY#s#b;nu zb$X8d=Y#I-?^J^Vir(Wf; z@Bjckrc^!P-#A4_Z2?{kWnO+E1JxH}FBPhmMNqayUHVriFFg+DJxd@PT@W13n=NtA zlwzA|xvN>ND_P5{hk9+&#+5@NGqPqC@+D8|gBzOLn^tSvwkJ0YlzR}AT`@dGcd zYOLqF4#Os_*X*@W<;5e7*HJp}RwnPnnw^P8PKP>39$So z_#o`>o01!)#TDi1zaXGUGlxzKvK1AI*H_Mi02H5GJ})Y{&(!`_J=X5}o5yq)$8ImS zqe-_G(JrPrF3JA7qg^g0?+;ChJ+4y>Zy3L1=CpLE+(8+f-kV<9d>dYfT~7aPx{Q5P zL}dfF_~7*W+8KI{-3-Zd*>-#DjVJ3lQ+1@H{a4QPNSp|wjd+7wU0-&7fMRj;WWUA@NMee+_(wrj2V+}8cM{fBuB%9c5iY1h$i zi?Ox&H|5?VHJ-&^$-uo?Rg1xH)3mRy!rw3Lo4>3yS%?k0o?Ppd-aPgdwkn2aa1%o@c^89ZJmyMwl5g^H(wPGpVo zv=!Rz)_5@W%+mOCzUiFtz4L~(_x0U5c}vz#U&N`9Glh`*L0AUwr;Fncp2xG?+CQp| zMLub4bs~UoSr#h|n%&P&ZdsRW&4&}&9q!mx8|;^Y7JhJ2ufr17D-||N)uLan?)rk8 zFMe-X1tCFMHB-;Hcr1sBIGGNYe{z}i2EkQ4pMI}_bPD`kJ<$JNZB*d4)8;i!bYf8M zFk>&~pi{a0)2!FqYAuCTyUnZKyz%5y#da?W79PVp9CwL;SFXQ%>uR~jzV~Nk)kkeP zqN`V~!yZTNlp*1v`|UmwHUUMgK>ZoX=FUbx$}@{vA1n9=wIN;sLy=)Y z#|Nz`4VrDgTl!4|-i%DKR>%iAaxaDndAb;_Sw-fm`B~+)0Y1(5 z{2R&mf+DvJlWLM!+NvKE7#p=T|B>3-j{3gbL!=HJ+{2VUjwyz&2lT|opLU9gp{D+D zO_Sgd(y%o1Xv%96%ft`Xq}Ca3hbtU;5vdqI$+4%W%_8y@BY_t?pFYMIC3Cz zMnYZ?X5tP_h`E9SEeWxCX+AN<$1B=!x;GAzu+spjQn_}Sj*<)vcr_9t)tf!jFMeM$qB4XcqA)g6!CsLN z^pjFgBMqfiRSMu!yw%;*WZNBPwY z5*=Y}X|4n`6~`d_?8||-61eCeqIbE9xfm%`10%K8B~#+AYQKp;)8Yh|{)`{A;_%|u zH@U-$>#B^lVrPYzB_@!hPefZMq=T#i+|nWULA==yAX_=jjJYCf{;K>zhs2VG)pe%# zYNrz}I^6u_ghzs-`l=o|_}Sv1AHqI8svn!?vVX7Bitd#Kf0<0mxotQSb4xPxyGWuI zIQs##2dD=iYvmy@D!2ywsE06Vhc|K2jcHH1vqJ3?2u%nINjLK3-j@f) zew;6)MzRA)^KAT5|IxM}HtJPVF`H7?02`VzgDhC)(q|h=wqeUHJ<8{@{}gqIzeFGe zk!j^)Gj_^qPkAq8Y8593l!2VaeDcs2N|n6IwW`XsYa$ma?X5x#56W>mP8Mo{_$y(% z^l`@wbn0^mtL(7i16EdbUW6AtpXd#_-GhP?KESQ36b7 zGq9#NL(i&QvSi}lq7f?%FjptX2E&G?ibCUNJ1Oazj7QGt%F_|m-@ExJPpr8>i=_A; z>ol#;(;`G{E~-DxB2w{x`!un~=#mM!F1hYw7Q>9M_g<2Q7jFE-eDTEv|fMW&pP~&q2V)<^vsTK5~ zACd%-KX1p%F8AV3>V8E<-3jYK(2>cq~0#9o)9@_?Ho+23WYCYI$b=e zqZ$WHF6ra!U2duEm6qK2=@6?|_td${Lw=7zh{VV1%$Z7SL1@~fNYi!p0pw8ZdS&c$ z$yF{~)e+a5jA@n}kNlq$$Kt$gGXRsD2wKWtGEeEVDdL_PjO>=mB5iXyIkhD~3i}Tp ztK(^to@K*X_S(6RbJhO0U*$K<^ryTRY@8bloG2{~9MYC*U-@erD^CUY9>==;FMlS8 zoe6Vht_)%eG!%CJv?NbkU2y)GlPhKgbr>dFTgmy^(9iB1?Y7o^Akf^5ROR$8H?#Zv zRnLlouK6U8&y5Ju9%$^GHxBO$aiCecaU*A_CINOGDQb1be?i2p1Tt>WI z-x-2QZc=}@@GXPA?|1jZ?5bA@Io-gFMEz|5g(diamtgpVU^5{G@feJ78 zbKLz*>O8Xsimc96-!;~Eo;!aPS>NOM+d9{I@$vs8rJci$nl>Q%82HA7ZF>YY9G(+z zEA9&j3J+(H(8qiKGtQiAX9R6|7suc9QD$# zgR}j5y9G5KMEVz+erenc$p=SSAtA++h@Wj;T?L~V$YM@{u@X(ERiJ%9zTgA69t0kQ z1VuQ`^)&d(ToeN&{90-xJ+li&K)kUTAd*VQXh+1-NYz~=qv4v>rbc_KJiR`QrsA{i&k-x~>jJ{Rrd-uqW+!HnHWV>4cO0GCf8 zgAcfSa5urS_RDe~2Onch70d?}QW-=J*AaARG0QEAANt=K0G_On#4dv4^aFsF`#=GD z)jyUJhYT^W=K+u)(1Pbw2nuBcL@>i_H5Gkd8k~YT6^u^1($a`a>qMvN_AM)77psyn z0_Jo3t4vuLrU?pQTx8#c*4ay``npJ#TSfD^ZXIb&pN{5R{>s4CY0Es_x zkI@_H`COVU$J&0Z;N7CtBvPKJiL8tiDb1raYoDox_25<2dW6{a4eg;e;D-+8+Zfs% zawS;*8u0p1A}(&JlV!?WorXj~9q}N|$VG=YR-{b=K(x1XFbH)=KLQe@!N;f3m=AJ2 zBXEoB8Cnm*Z|`U~905Cyvz6Wlym%P>CdK=9iaAu6;USNaAapW!V zHsS!*;QoPPlJ8}X^zkB%;3k-f4uFKX&FgFa`Of4^SPU~tefg6c6yeBaU>$#|9o z$un0gjOOUYXvd3feX8Rmob7q%0FMW-`GM~dch z=CUd7mbN)*s64@WJpGS>?|2FHa^ZVacS&gO`gK!}?9iFCcS-Or?A%|2QSg{k63Wu5 zZ3{T;jd<2m>KHR)ZG6T19dn9Hb(pdjvqY?AMTMydhe``}ElB(sqKosY6ZQ7I_N&PD zgA(=F4DvtlFfbM5a=jv$1nrp}Zq?Qu1NF*nt4nK4WF<`ol}u!n#aaDQSpdGYZb3!9 zbqtE`4i$J5EOjT^wR8!T0Nzq)Ve9N6JG=xJa(dzzE0;5UY!x**UA`n)Ap*;3EUlTV zyG4UsVMe)ipK67UWg+hgtLSbSjuKm$GZNmev^cEZG`Vk+!#aq2h9^Lq5D3N-XZ{(R z5Bt@n!&~W$q$TAE94oO8zs(P3%*)W}A?Kk+f|ybEk*LO25N6PaJnjrkB2)$G8MZmX z4iwUh7ii1S8C93*h|-APoP8H&2S_-5^gipM?0GESdTgXlkhSB!3|h&l3jLV}r&AcW z!P0i`@$yL2BSl z@Qq#C^##jsa#e+t(kzVmTjDYaVhqA4_T;t2v*VYM#0{pNDFmCpljhYhE@v zUk__uFF2uh|Bt1#4gS}dZBu;-0D$%Z5fvSVOxa*}KnQ{!{5L2Rnh2GTgDU3j&fjOsnSSrOHeIOvDg0?m++rx_;mNV`(^*)b7%!Cg7(=8u4fT-y>x*C8)8F3} z^eB10pG}Xp&yO%&I{2TqE|K2RIQ_xBf!L^{-lTJ4+y})0kI)c9x$kfKr+AYY)TcuT z?}DdzQ}wvi;gcc#YPQ$+Jc@RJkR$3Zxmf$V@E=6`r+^5|5)m=4+ZNH`hzYiIkt}uL zIE+J(`Z(Zo5h??q;@~iy6GfKR%4cZe$Ot}FOHeHcAj2K^E!CD}pJ9sa3uPLner-1Q zhpuHKM-&jxp?KG&fO@KtxB{ae0Z&96Z?YEGc7FJx_O`^3FHvYv>FuXYIJY{1H%JKj zUk-B7N7L}`JZyh%%`yR(tZP(m|GMR;hM3apeh zQ*^$DQxE*nx{)yrhjLLUk+ny;Z&a8{X16XnqVdbzxq|8ByxESO1*Z;tc(^Be)Ot)` z3x#;}wB+3GffC=prk{$gkfN0Ps}H@KZh95n!vq4}#h2Smk$7AJ!JC;ipT`ZpyMA2L z|FOe>J{*nkXLWk~WuSd@Ql5KmVZDXw0y+nN^?n2q5FHDt z`@N{c%OZVV!@AmWBsY%#@jMdCR?_i=?JJF;$7AVC3B>}tK7Wig*y-nW7OlwAJdOL~ zPd#r7OuG|#&dMo%(-RZo0F49A^toVO)D%`jUq6)PkcS{XfPNb6mrsdG)3iQfinHav z{r*$V#1U`3H01A_F0ZP99L0D9AVP0vubTF{PplN;TOhj_yXL_jMV--YBi5G^?-QSt z235fp*wsdwH6H!2`{8~nx?od>q!8fd%SarT!9VZgbRoJ)>-6{c%bNv zHrRfbkTf-Z^dITnFrJ}| zi~GyCfSZUG91R&n;W1jYT8XTa7Qj1_;W!TOwZ2GVcC`ps+8AF;sqOb~h@2*Q%@Nm8 z>rny{;I?C1%{A|L35CKKaH7ue^O;q?#LG;oehP#Xb6D|=1QXPOB{PRV6QC6-UaC06 z)kzSzD!!LiMRQa&Bu6SFR8iVif$I}q;K8!23qiz+Kzp}RPPH@^EK^5QB4dS~iw5}p z;wbY$eUW@+geiFaXYyJ-D{_6ka|Vh_*Zd9Z2L@W*)GnaChE+Or^12OYwR$XEQ2i@n%OvuG_^s zvoxjdgo?(+3n3Eu=4P0C66?vC-b4&=7}wE^H)WH2Qjs4KgiEPd8t6$^g_*Grf$v`I1lCI`B+8(TukU zrfa_8rZ&rS`K#)+cy*57eD@azy#KauW7T{fR^I%R@wekxrN(<{eDkjDZ|7x9jqj22 z*5m5muKS4^|G(o~umA5RvfX2F)!{I-XucX?dwj(O!%^&SLj?2S(gq=ik90jyh)t{q zwrlO7z}iD6QG9)lo$HZ!|KADk#cPchknJ@G&9t|_T|V*420D$wWTbUNQMUK7e6G-J z(j=b*oYOB!hsQa%iR(f)z=_8DlsWH``Z8Tgb;N1Fq>T=5g$>p;qNhH(S4m?v^j)a& zlfn1S*Tz~uk~1@M!>@zlO?64BXI3I2A13^p8W0H1?FUYlCp z;$OIBu5llTH@D#@U3j%;a-I7(cR=xee_1o+yzOf4I!*lT_e9R|^4i?9gm)Q8zRrdO zZ0YMyybKk|V#WH}GEjqe6=7(^LfG9hl$m%H<3qtr32hnqhW95SbNwwN6xcfEk@zR2 zJ&TF`Yb(SQ?>c?Wh>^d$by7L;I{S%&K@8eD{T}ZopL~N(7T7jRpLkO&l1;1fwQc?l z-ffwoF^zWj<2-B(_5(HsQ-+Pf;$UO2H?T1nRA_as>l((b51qe0L11IB@31i#D{Ks= zR{gg#uH&~qRB#)i`>GfJbvF$7Jb+(w|Bbin3gfHj{u_>m(Kj7`Qlak;dAom4c)V`r zK%YBc7wFA``hFAM6Mfi{ya7>?{g)0ZZ%TX`EpawswUEV--3ckPbOQR-Zhm7N| zUd7&ZOA`|3`7>6-#Xg!A;w{^7!L#IJx!glvTZh1Ed04k7*jwsoyPy8?(uYd{hoAU9 za-&_m4?M;B3iHzC>H%b>=nvn)sCnqG#6hn=(Baa+DS3fNpRwk?5u$)GvG0R681d00 z;P~`{`SpU>+~DwAf`0`BJG%wF(+fz!F-xHdk`oNUxkHrH3n-uV)is0TybtoX#7D!y z()k>!dmPM?k1o;@tQJ6wQ5(X%9EcnSSObU1k+5T=2AZQ{EA$X1V1Y? zrNc*^4izay|C}GMm6X~HGPh%Awl{?g4D7c z)pZ|L*MgpL?0*i39{L_<< z=?I~EPvj#2OH~j*IW1JMH?;p)&eJW@=`+@M5-^%8*4i-^(J~lCA|Q8!5EXz`ndUEG z_Du&hlJ5$!{}>w$mDsT*q-+E%D;Sw|4-RMvS&|6TG=n=J4*gw(|2r*?#SQRhITTZo zm_XvIq(TsGSYTKwmS-uLdL+RGdQ3lg16E*wBs)&!Gj&{Kn_zNeQO(@~^2Rd## z7~M62wiKPe6^y2iwpAM_^ZZx6qaRhRyDccwd@u|~SsRKi1BTL^~j=q!Medm`;6SGWv4o>4KNqg!~E8R=uL{9%f zpROdG&Ssqs5lCANOIPSm-`Y)ohn%rVmk}%Two?;N#-(BX8YSTvZ2hb2(vyr@=wK9x@M@&5rDHelh2s>Sv!bJ6)kU z|F&~{fF-i^Nudwme-ha&q)2066f#n@M-q$-Fjl1V(-+@swA}5{EFycSH>)J1Z6xFd zV9Ih5>PQk=7BIax38MkY+ecGobQfF}M^<4HPBIeiHd9`768;n7_mQSTtHdI0#9{`f zz(^PNM+eCaVp(ruc`{Q)dtzlJVwDpUHDTfpWUxfGi8i{c^ofJ+Baz`Mk+HXl=@^k& zIgy2uiB$%XjW>}UnTbQBtA3k7OCt5y_gnp}pUs==x(cN6i z9fI2kzhw|cpgZD2$;_fMl;f1#LX{j6>fpw3e;t=jM9nP70M_8{`)# z<&dnF;-r>+D=UY$FV7+?&-N}qNiQ#o1Xqqpw~`UIKN56CI#!>6yC2hfSHb4TAZ zwJa47;qsi->^$_UhH}T@ea~$<^MLQxH@q>RdQdmw|`(Ec!4FdA2Xg#^2b@K{*w8gM^+$V)J#Oypp92yIMiT8 z)gmZ^;V`I)qudFf>`2$}DckX>*D}eK3viWlug7xVIDl!%DOtze=`-!vqwu*M@Oj6b zn4!wGxAt`?%2n?jeljZ8yk*Vj!~pY)kjr9tNVD3>i{LAh}>))6x&^wl+~7PKLHFnRp&PcwQL!ZpwuY z?d4xiZ9X~ReO1N_%p{qTNApGdu275a{Q$;rg-hN}XbS_VNnow3x0VN_;(r9F<)Lp) zw=P~H#z%oOMX-x70>u@61vp+M1NxKwlhF^4dD0k_*V& zdkhouKerELCUlno)_U5@9k8lkFA7@6Pajy016(fAF`)dt{SI+#yj_13tN`fjfu6P_ zH31ftJNiT%+S@zJSi2DK5Vy(Ok9@$y>Rrv`-4&@_C*xRC3bD^?-LFsGfaj>x%dXnB z7&zY^)T|zKP)xE!cauYRNf_dTVe6a-7+s<#d#w{A46wA_v)9vAT!Q|9(Ti-I^4p;U zOQ-!NDsJc_+-OC|VqO?V6JQn4wG_~a85Veh(T59aEoV)^mxIe9Z(q#o#V!FX__Qze z^jDO$I_jf+(Kp+&N&UXof!>sA{eWmbY9B0uXME;nN`Yrq>1OeaYvt%>vyN-W=H>wM z9Qu@L_cTODHtg<5;#7(IiQ`v7&C!!YmjR# z#kj5Tctd4Llkd2D#&{d(N5}d&=HKz2vmbq;kN^Y7P;}`?79_F_0%0pFd4>#7Ow9U1 z=8Y!CV2SK?2rQ93{am>T8JVP*?1D{gA#R7hlgbHWguRpSN0az)Q?E=@pdXWh8IyOI z?)O{vP+a0qlm9rdvGhCE&WYCRSzVmTjzd4%hIbpF` zfsMJj=Q#P-{Z4WLV`t$4 zc@d3v@kDM>Yk0xLY!Nwsv4(io_8iwy1;>ru$N6QEf_q8NW=Z~h-aBT}aAV2bXeq!C z_cInCw6nQJcsZ42IZ_2T)Nk2ryeTH8ELv>k_IW8aW;i8#1-Wx2%XlH}Wu=^Awcs4) zu2)g7mP^ldb!1&0GOxQ z{_BLU!v;oiMMIg~D!kl4pTt$$-iCJ`Knp`8^xsCz*`dPSrik67zc59n+I`C2W|+id z^51=G@8L7q6Y$?l?%8F3-DL|zeCxc$6Ai}5+xvaKBdUsr0!9a__94mbu=%6m`tMWj z>`|y<33h-9xX@{x(d9S}7`R*EW6_PP!3vjXDB|cA7YFno{M0bp2$@<_T+zO7Ba&1f ze)K>3oO9&eb>zEwejM_DJCWV&MB;=)q{eJa5CfXp6_# zkHvrmv75mdCno;{u`k3iF2ynGxPJe{!Kifo{r3XBdK>99T9iWC9!i5@4gNjUz z8VEo|hoWFYQT#72{iacTxvqTFuYB@QNODogV7cq*tABFWIDfpj{&-2CFac3KXi!+F zQP`+qN$fwIP-GtHZ)CpT$WE@;jy=c@wb%C3*Y@$q5^>13uE;Vj$Z{^oR`EBM63G7u z>dTvd1U1*KsroHUQ0r|W8TTL=bt9Q{BN^b_>Bl4Kso&|kBI(56*}?d<1d=llNiz>Y z7{}(lD*~*+BLGH#X=>!@zetyVkt6^?KmY;_AdDISM}xq_g%Aye=L8_cQzIl&BhaZo zqyXVziR`zo@J!PWjOy?VIFBrO@XYb>?_3{QYvI|aVcqOUtjoum-++Hp>ZX5D>NXgq z?g79O*%Uo+lw8kL>d#b{a3ip!b^shC7mhR!jtrK_=6q39e_5zORH{W>okCoPP9dsX zzKG(y?rb6KZy|`gzQQ(>OVqwf;vh=VAWGvvWh4+~)uD2(up8o|DQYMf_4O+%z)gXM zE+_(zS*k^0hfWTQT+DG_VYg5|o=vWgL~(W~CQbC8Aod(nVwRwn)UVOGA8L6=SER^7?_mDA~+Ei#@&ti~t$`3#iloGQ%EYdvlRJ7~y83guaCh}h^7b4=sfgq<`* zcvZfyF&X@FwVGnIFq zMhl{ThePxD^$dEI)U8G>{_^*EOZpAmH4WDrQS6RAY!RZ$!d~Iy0M}Td{X8ygjJ*K* ze$1`yX{^V(~!s*hIkId~<8;DGXDNzsL$DqlZ zfJ4TinFPScONNnN`0gN)+(qY4k;niDrg4!eZ$j{)Ac=oyHTXYhwc@{Nbx#AF3cpuR zAPQ9gjTRb1c-}l36PRW}OK3X}L02qbA^43o5*#9?^FOqjZ#i$tBnd#I$C#{FpvM$z zRe)yo1)RDJ}qdur7tp&0zc=iER6D+;F;# z(t;?S-O|E1DYCMnBn^YI;_v1eWhI#kqjo8+uhfijjK8g)5Pf26m{Agm zpgkKXI^z&RQ8)`n7_E0QFvQ*GYfj}lsBg)9SWY;pcm9$&^GkrU(^Sd-s)hwZ!9dC z2CJAan}3%OSh31HfLpcwQFXWK*nGa&+{a(-PPt?Bi)Ww>TM|cx1d%pU4^^519ydZT zh>j>wMvgC$6B-AGXP~1UWda2ys+NW@a=;;hEa@UMmJ#0y??k9k+;J6a^?<)`o||64_A(%ezFWqoEupwaO67q3=1`Gm*Lj=0uI3>vPTIc(Z89 zY-RA@%rdChDOfnK|BRVNdBPP zF%~s^Lb!q@9YNVUEH?KUQga4+vK3T$;oXF|00st5oKXcMg~Y_PeTH|6zr1w%@CacC zB{>hE0FZe(TskC#386AV#W^S`>)7(G=&uMhe~ryQX*Ta<(j`7b(*+jNFftRUk7=Zt z!`;;#F{?*JYL!T(-0K~bV-G0lG}IARdk(Vx?d9|z;329@UO;?4cw;d82d=Ra3DMCm z%24`}s3nq%!#y3t_{0EKLB8h*9dIxq?AY$)O5{}ZybON9+v!#!;UXxn1@j5%^_edx zkxD_r2rA^TIT!n>ohvP*G1GCCKk_h^M@P82?T!}-*0XpwUTRzv1-qK1vXMEqT*lryCy*F4gH`W246;7aS%NI- z!)4SJTA$aJO{{x)eA<3Cz8p~$^`Lr_J!Y|qy8IyedCbH6wvtNxwye|tQ74A7zplxvf|o3dZwL>pNVv zE8ohwMQV4*)}doX=P0t0CVV7oYV(Rw^C&d>B|KcQ!tL2< z>xOq>CAwu=GM-xJwjabKK@-llWQ1D!%!u5|wTxKFk7%bS-Q61-j5t0;7?^rvd-gr! za>slTW*ALPukv6@ab}%Z(Z0@TUMsnn9}wA!(ENPBNA+hG7F=n=_r6M|5<9o+^fixb zTfe4~7#t2bCz|&~)uw(TIbr>l_}w3`)3kneygTM2K>!WmwgQ^11|o}k@m)-wGP52h zrhR;gz=1BRJZddIwqqzeCJQDplk_*z+g^nft~b1Lgg?-)EMy2sN8`im80#=8^(n7( z%393bzpt$ynSi1u$m9w~KUdj0uEy*bkW=c$41avNTD&>t7Z1aVx1=wkg(hVwT#+=5 zhKK%HXNwqRadCIaz9A2MC!*As^2fEzh|xyuR8U_j*1f1Ri-UJ*d=ie=voNXtSA0a9 zRo$f5R5WF-hl9$R75=C78>akzv<^4yn$JgPa|KJkMCISVpPg?%x)t!U`|8i>3(uJQ zqaDNkGWOB0m&fa6GOAnKrr|5a%a**fu!P&--y$@ST{~6U>GLeC`g42xRgAFX>bLwVl^yJVhb>!GxQs)?P$hZQX9>I8qzoOhbsIwt?zU!YIMm(^jSp=GHZ}D zL{bxJzN|DhpYlU@QNb9sS!7%}JWaXov>_h^kR1e25IRutMeQoM?Ay6YXStkCxt!}+ zToB%mu>N$b?;vaFC9kA|`1~wb=^&NH`m9MmJ^phhsc`oC=Ntl0Cp=I2$etF(bbei*vB#eERCS3_og>Ycr<@~U##f*TRImUZE43*Z3g0^js{{)N)d9=L zyD#Y)ul@k5FeIY9iEbZ-b@AKvf;o|7L>>*wp6tt-)@snQm|NSK&E}ZlPsq~z z3ebDQNqZw_Xz?A(2|AieS8L1u)H-AQ9H!^)%#)<>9I^=+8k+8{kK~>#tw9uD zW|O2cta1rJf0@}DEWJ`|q0IHhh|Bs~1UH1s)TrDJfv&%w%Q30kse%Qkp9MEb(mHym zj&HmkGum!mwDCmLG5NidFa7#5H+@G1!+vw8K_?vo8?1C5WKrkUAhqVe#xmFUt)FKz zQ;@5pavPz3f~9{-xQmy(il3l$&R+bz1$%N*S4su1$Uyz-Dz8|ULM8^RmE91v-zrUC zEhEAqEdx9>=swEe`&Gx61mQbdZBVTkNX6uT!RLfluE}T>Dr(n{-om%v1vUQ7Xw0c> zY^bPd?B_(C=PWp@(G?wQZI>u68pMLMV-u7cor&bTnEzqmH;p~cf(Bo*Qy&rA+lujlFC z?;EWfjx>b$5{So~4)Y+4j1njaSn>w@ice^b{Ho{uhB$GSq;OHF02Eb`7*P0Qp%Uw< z5+^etk1={zI3d5DqcAX`xL+N-J5e62sFJL>BU7`BIhX~S%;sx9l#w-xn#@n`DR|~D zN*=_tRO)D#E!}TN-Wx0jmH%N7C6JjiGm?Z3iVP8hhW=(rK8DN*%D#Wvmu%`7dU+P5 zxK?Xr=%lJpcGc>mr5|40Q}&GR>@N@-bf0F69%hHsc|Z60-0=8$g8ccU_nzeU5n2Nq zAVHp85YULw9_S>qYHC1weYFcnKN0!dFQq&Y&DOn0ki5j!woEW8=i5ysrl?rdos!i? z+bL7A2c&1`d?HnadzOJ0RYhPJJV>t5wCp+ZlrYYmWT{duoF_g5jp@(#l4mSugu>E-R4qnX#7*_)%gne!d5XgBKX znpO7j6_eIhm$8zU9hCYUJ-tyl4Bf0?!x$Wf*h6+KvXpO!rxPLjtW{%<{qudGkmxQv z$_4yR>9eSjbj=0vXYp(dnT2_U>x!8}MIeQku$*W2>ioi57BB^K_UTjw)FEt!rV0?% zQCrW=Wb65$HHm0BiPXV=Y$W^3vpubCk#%8_t+Cy}Q>pV>;}UVM5M9)ReXbIuJ8(Ki z^gK57)bxq)y?60i+XS6Y)sXM4sDE~|)AN$EXrBv(-U91%uwP%G@^E)$Ux>%>nuFjM zQAmUeNYM(!)1Wm1nUCAh!s!GFhKLIhEC@S}q=YJHZS-HTszim%=%##-A`m8@&@VI` zSYa6Td(?kWR#dG3rao6g!R#8_q8i02vzA_~R-p!O`3G~87xRi1D?>%lA&YvI?Zq7; zhQ4FJ5qsVE4e?|QD=V9-803hIL@hCut+EW;VTtTP(vHEUPisq#6n))D(>;XK5);aA zJ;mOErkO35dmPtM{EXyfA?Qfrm=k(f2YT2GT4R>tYV0e5pw`ec$PB-BD*whzi2fWR zP?xe>a(zT9OM5v~MK*aN!E+$7!#Ei-vGKC7={LG1v%1Z{xZ`B7MouN7HW z=(sn6p0Bi&1fw2Ql3zV!!IYVeZO}^no1c82qZXQ$wX>2viEcklHlZsqseREgf|xLFnp9AT{w9=bN-=MCS`uj7eZR14 zA!pscZ7#Af#Tm9GR-D0&t=`UH6g&v~m%1fjGA+~DCm5!_ktvTJqZO4skLd^DJ=+Vw zTtQ~ipJJSu=C?fcQCQRX@ZD;E-bwoke_+9LBerPYfN{t0T%T&ea^2X>lu&~h`JmA6 z9VwHQWz`OpQFc=6qfV~pBvsBV>inu+>?ZBvr1Qb-=}QkoNj~G@CX@J7V~qKg@!Vas z;dSS(W$Lf=izus)%}u^r&Cy%7$m>8#Be#Y_chU8({jK0V>t4(Ga4Z|n%4PV;J->Ae zPgQ9z6Y(I&qu`M334;H`++8=t;kSF9Z`>`oySux)yIbS#5(2?p14(cR?(V_eA-KEK zXb2D>gr4Si&zYJz=j_>?soJf50{lZ2)m;63ecoHrc_*_bbLlSDOGmqbwT6be^jPrr z%B5S_ty^Jw78I!+5wF%oq1P6d~{bf^sn1@&Ko~%7H)mC8;j4T#cZ=@)B}BNbEA&GgS5HuHWy()bU2_F*-dF) zP}HUED62{=?n&v$0cQkgW_=bsc6Z>@3gRCE{YV62->b-!o}`&tFWM~OlR9N3>JsHz zA9ZN1v09ki8@3(m79=_q(rOX7o@!nV)e0ZQy6RPI?Zv0fSCz~sMr~&e%%5$kxm~Kc z|D8A8JmS1G8-G1Y)zf~6*dU0|A3wN&YBT<^Y}|IC9(;5Lq0NhQv-xy7ur^jcCY$hq z27-E^v6@Tap4qb6#qyCw?+1;YtHmm^IStlBq+<|{?A3zHT!!p4`tb=y&{i<~c&_QW z$?z5V^DZEK`4q~x*{qs-ugk9x)`M?B?tzg~%G-eP$m ztUAy;ac>RPI~;mlIdNTCUk`=opG&Df8>6n2)2~)rbV+MWOE+}MRv-%KU_tN;9KJ?Z|uJ3UI z-_L!#L&ZB+j9yZz`}wiXnq=qh{Oayv*)-zVb?5%7T6(@K=~U;$>Cn`MOwFx7%7^~M z$VmPouJ@>6`pEQJ_C@Y231R2cxBbc5eM@}zFZdtrWu9!+yg0Vc(yq_=$!7)9Kk&L< zMh3coO&4>bH*-&Zxv`(Xh@D`PKTpFQ&Y)erw|$>lvn%84Uq51Zoc6q2;t|~X+&toc zPIp>^@L2oX0}O=ojKT}pqYa4QH;b&ZXGqjb(7W#U9i~tBtE;i0#yc}%H%=T4FkcCn zK)0RrbpVL(^q;)iv3#5rd$H4VAGUKJY1D7|#%^$^L)7hpmNbZ*+<1%XHpMJNLjmKk&;$tvc3=K!Xpx{WQpoCsT z!Y0rtnFy7Rt|n{sf851|MMSmaww}$mfH7)TT&~qEv_>+a^UUO_m^`@JBJ&S;JpFTk zklZI321dlv6tjN9ES!Q|cR^jJzo_I2iBnt;PwybtT|Ie6 zQpI=9s~NU-Z`a+@O~`c@botM9H!2#L7W7ztSfs$ot_#BP)|uBVsWdZ%TzA(Y*WKf- zPRMn4#BQ?m@}>1|qrKsJd7Aj;pX;ujIpn(g{LgilB;+I~96c1a6f%B@RNIs!jK=pk zBMeXwpp3*d@}rC*bZn=LCiQ=$jG>GZpo*o<@}r7=KK+6b|9jKwlj!{zLy^eskQcSc zO?}fr()8mgHTM(?cQMxl%@)FDmHV2^^a6*r*)3ubxNj-S*=sVD?VG3Y3hF zLoPbD_D#=tR)=LR6jqm++hdl-F+ydQ>Q#p_=Gx{)dY1aGTYAa}RIV6`NceY%6tS-j zr{qBb>+<9u6*>?~0!}>~$TE*Z5z5|gS|F7B#26uvmdtQQlT?f}IFh)xgFwU$9h_Cf zE~}8dw$o`Pe4S(QPi9C!o3om5I7<`0(K?xPguqgO7!uG{_ygBs?&skG31~N5;%&JW zz_lA%hr)f=H?e^0IMt)Xl!T`&#*{{vq`{KKvycgqBSG55QlOfa_^ilLT>MU%stfju z3eQ@^7d4S5*smHggi8P|B~G|dZ4FrpU0pqk5?p<=KtP%SL9&e=*vPRVHNx1Pl@s68 zcW-#m?Bf$$#(&q>g79lt5Pdynli@IuX_p^6q5#p?r9@7(!*s+ht$U@!Zaq-+BoKIA zM&ea0fUw25plN5ywCcc*_I@Xnp6tVMK^a-VW;?<+{@Xb_bAiV*e)Qm1DEp)kIHDK` zycRk|k6;jb6*x>$785*5H5My~V>v#cO5mQir%n>O9h>y%{J$$hxHV*w)3Nc4F2{31>Lk|>G+y?vM0U)Zv<{MBVkA#BimNEi+23O<_f7a$ zA{+FtM7GOrhBHoC zL?veop0})8dKP)0%qlD|S8< z;gtlE)@T^sXgi{5ZE7v}BQ1*+8=ccQLbRa#V8y6{&+ywbRy@ zLYf3dT_gg7w?y_`2}dF$zKxJ}mNO)gJqN7@No427rI(4e6siaN%jU!DGDwmzX@&rG zipX#)-qtGpXBSI_?khABD|NgDbSn@0D)my?_1ykRWLKF&64?%j%k?wBYAaeN!+%R; zf1otp*bn;$VW*y(AepR45S-Q`$Z442R_n`NrLv|;C8$ub?I#)}*j;)l}la2iD=*s839 z?b4Q;`Fc1VYcjKFKz^fDXPi!fn?w|FPc4TLF3z!EXQ-Br720&EKYLUi(w_Uasa{Qg z2}a3bK$4$;&gAl_blzm)u3DS+Y;F1kdByH}_TB%K%e#lglshc8!?L#4XGnqWBI`+I zea$rsSb5AFQ1-9!LKZUSk=QP;(k~w_ytjo5=+!}nKk^f2?96Cqa#y zy{q|D(B;V>bEMDmymnpqG|2$wd+z-dIM>G+km6+YqqQ7 z^fxo{0+xrrg?iY_ax>4*mN)Z$j;hg!FIqe`;1#h<{1kL(MA0p$P*3{V*%rl_dhKEC zn!xw7XA{j97bF|*)9CgM)`S5;zg>$8JvGh?(^i!EnDfi`sRkVY?R+(W+Z=t`(bg+_ zK_!-VFw@gD&nuVty`9jBpl867?9lyShQ?9Fzw9v-+!~OSB*6R=1g4>C$zq@x-T?4N>w|s}7|dY=x>W^8k>KOXPYeyIHrbW3wb)n@3v-=s>+;ja;-YZyt??1}t?#cZSg1j>YH6V0dyb~Ah+#`E$6})*_gWkFR z>(#fTDd*B9Jz(c@+oSJy_D$qT=Qj2yA4&1-pNZ+*--0jw#-+hx>tBA~AK}(LO?&nH z$^(m>LLQpVK^~eyx;`N7y5}WG*QXZJ^|50Av$oLl(Aq0{1$k(?1$k%+>H6G+v%l;? zx;`V2uFrp-$Zo3pdkN|KY=gxf2iadCUyr^Vi;F)m)CEB*)bDQ|m zU865@i~_CJ97Ng2{Q`y&BN)WGg2Bu)!eLk!AqeNZ8HAF{qkWMUS11sFl!njCVwWh0 zG_k-V8pQLpC^rm&lA}a;hKW=e5PuBEc^DK|k*bgk6(`B(6c{9Z9*7_bdBfj_lz0RA z1%LO7kAMW01$ds6aN7mkDtqE8z&yhJVqHWy2BUYi6ylhL5vzORB2>6aR9Ih%>Du}|iMG;-p5=r}~lmJ{$OBPS6YC{0t12y1< zl2mOBR}NCQ?h~0Bq@|*Wl%R=Ju`Um!lr@4Qux}sc4;M!f94fEVsJ(`(y|X_3U={gwU+LHgnqmEgGK6GiCxYXU>GL|S zQ6Kb+rI;9Pq(Vs$^=!PI+ajru#oiQ!7W5Q<`ax+>b zIS;7MEZ6u{Y%~W);-MVBNOZ#JC4amiag+Lp_dD# zugX+b) zOAWbB3_fSU#gr66TG{!Qj3XrxBz?q=>mHC@2=7zfR~P}UG5lMbT+*^g771Q8@L1Br zX~fHEsJ~g55moqhE|eBcl3KZ`<2tlSeu~)HS2cxbBO}JjV&z*(={$x=p0YAoNpXR2 zI2r)l$32ldtAsdUqS1O{7FD#~S&ClFXXvbCEd^*2N~`0FPk6_leaXD_5T(`ZDp*4d zKGOujmpM9Sao!Cwi=7oIjrkd65x+_w-WM8H+C|ovm1>5F?+!Y?S|HApeG4izfiCis zV+!pk4sJC3Hh)Ae7H&KOiny~Y@XV`JQ&1bol9*tyTc!s9%1WUMxml{XNi4F22D3sz zZjFw`_m<*13WW^?wT-sL{^cxsh$cy;x%PA+P_dtpXW>TThF^*!+ zg)i-QwdsTI1KJ*$_b^AbI~-z_T09JnZaeKi(MWYvRZxa-Bhp$bjj1Tb$mbbFU4ck^ zt!Mm=l+_d%)s7TeEr$H7B9s(zpe24xREK6&MNY8*79lp5wjP z!qtp1uP~y#u=1&Z(UG3D@PH%BWdL+6h+HHTwazC+ON4&N#a9%e0pL+8D&eFl*tQf_ z8sqalfO=qFfTmvWaglgs1t1<)&ohN|P>P+pM7|UW)48mGa=j=*mzz?Oi4BrH?2*IoPOe`T=@CfxqUqrq~gahWs>oe<}v_%cIijKTp8r&+F;$oKqc7xeuve zTGywwV!)Yo-A3!r=#+3qz`Hym903@ft8i|>8DiQl(!&~d9J_hX^%E5c=K%&0dL8`E z8S$a;@xet0?*_`P4pyB5PQM<`oCDsj9^Q=u;e9n-0r1W~EZyd;F^~iM` zC~fs9y&R~c^{78M&{pcvb~w;a>d~(`Fn-r#fH^P`8Za^P|KH)(zZ=NGoD>L+6c}8T z_>Gk0TvYUpRP0>T{EgJ&Tr~2HH0oTm`i->a|8*kUvl$Nde+O;9+2(uhz5w zf7ILm2c>MH`FY~mrT=eY*^Qxop&_AOUcNt#7_JSlE_E^gT`Bv2cH2ARNL!+aZ@uh) z==T4JW&hv1ZBLNA>#>~Eft>x0ob|e##j>o~f`x^}e}=YG)Ya9c<^HcS*^b=Y+^b}I z(=4zPOt1|kuwx7`!*p+@?EjI;{!RwnMhaa`@E>B?I8cySc0SgBRm%R4ZkwG-=|9b6 zqoSh1!NEb63lPBoC`1y4`uzTIL~JILvHF6+XiRFQ9EFC$;dlaW$IY>ZqR~$j(s3k; zjm6_%7_=)*#v4l}(>bgraul0Nr?UmTK%3)DWk0@2gd>wGHJ8s7DSTlvooKFDDAOoX z%2jHqT&gl?a@?9|samN64#trxw^pw;*)LR@PPW!;w7DNl-N^EVnTvfn$voYn>6O|^${g%ddOm7$O)I;3xx;&XJlJ5HZ=^Llj%u68O$Ogar z9$cU)xUG2o*Zr>%w(ca>?(Tr!i=SYU8~p`#w!uN%s8?$}syCRtkhU}|o`CU3SixVJ zIM9K|lh8dma(NP31YbUh|CO*(goe}gvk-q0@EV7MVFV)a{Ed+N#9oXvv?KnCBrqF~ zsuH>nSs+A26MsFlLXCwz%b*fxZp}!h9hn`p5@&`+3JIxx@|?vPKcd(0xZO)vhfY8I zLKzNFkyQVb?yjH#ohC3?EipfEH9-UvSohVa)K z4qBn!ruZQ#;K=UoQQpQ=3pyDfs=F?KAi>pfy6XsS+NbV`Z4?I?XCd^KNPP`?Di7Dz z16Poz!R(D<@KmdMAUWMa0sAX7x$f3zdmcR%v!?<(h{RDALBv5Lk%l%UVR}wAMiI!c zEE&~L3K$Zx{zx8&wXa?^+}_(VJ{5DPbeKVBKz|68Ec>=&uhc5^;cBHQINeWJn@3`n51;2 zwCx(d#nQP~ko{gr;I7DxtL>oC4!Haw5iWZQz4yBCDYNQH3qrM7cI!Dyrr(!Kpc|w1 zL1~4IlZz_DXdJlS&rF)F=KX|F?Y(ChYv}fl^NLQ>;F{zwIBA;=@Begvpmm(_2kTXY zJn<-hv%_w6`Uw?9md%wZqDfAG}Tqnlq--k{weA&uB)JH2URPDL*%-YN-Ndg17 zJi1iN2m!_Z2{+q-VdhzfLt^0=p5l1#R=e>&K(6f?-25tZdNZn?dRjfLHfz`Y+0^C_ zbju$@v2*}2bUS~8ZS&a&_4O^gW%m4$M4=`HBVi>UNGyxIK&r#9zf=K7@`FTFkwVMg(c^*X<-w0C!L0G75nuzD#1f=f zUZVi*efQ#C9jLxAUFZcYeeV9AqZ5%yW%FM+VSU}Q%JDD``q?t4eZgOoDOY}>icZ+k zcPaizgiRU1^zwoPV16bEjpH4BG{77bq=CZ6oPF-1gG=f@b%xGP*FJ#+t%P%(2Yz!ksed^r|EiVefO;WuO|BD4B@MeJF-= zy@}6o&Lco5?C>?U{ECz@fHCM5oBk8U2&A~TI*_RpcERPV9bO{#`#boZAyGsc3}co! zpp@=M2$FUoryTcJd8+5f15?HIBng>O32w zI0j1)Sp}0e?G((_TDy6%x3uzhCx~5-mf}-8&y1xF43t$R z%}aUZc(C_X%x9@(2^(QCJU}`A(7e7$_gbH*h*v>IzdKf^Ykk`$x32#GjkcpWp^4m~ zP%_vi3`*Id*+O7Q{R9zs+db1pr_5lz*Cy?kq0om^j`^~GgP|RgxY0LNPJU$x&OrWI z%>8|_1-~meV|mn+U*i-iUItn2Q}fpP>uk?XZ8Vp>e3DCCbE06J_065{E{A>ktVqph z#`&tb{4yqlC}(Zbf~=+TJ`;dq5`vs+)>3_~5NWvaoZ8aUQtOg&Zu*BP=nZX$;=Q45 zjW@K7^z{vG3%#LjJ8THrCgy%a+w^Z}dxP^0ZDYTo?QD)WvzN&kknz24Av4&6U! z+x!h}o6x?YZRIz#O+xdAw)x-C_9oRE+NOR(+qsl)XdB}VZJSc420zb3whN0O+lA7Q z?ZV*N`soE_-$uwS%?ff$8|)Fi3ak@6c{=aosVt^+UE-gnc!Uj@v>ml7l`J0A5yt|F$9D z@≫kss1SAKH-D@qwunp?~GkpvG`xtU~Anj3H5E-1;zOt-fSMuU*ajbUJ)r39!!|vzkulL!RwGnbLs=V;xfsGVL-5fkA}9^Q zpHl&gv*ARmXw(Kkte8lpKHN0-2)Y=^))k!EYJ{!3~;BM&5d`;bq|@03@g<^Yi_4FFGYd&pG?KEHi*V0myrd1#mbkN^-9I))oz z5VJjstiuskY!FxK7gwGUSJ@s{Bmn0k09XAF+AbYK{$w9?B@y4z9^VB)+Y0eLeX;2` z@k0jxhPK-i#{H1eGeQT)66OUG|JBIu8AHy=h&7;u%Wubckci++iBXTi*7A$r6u{56 zkKXEw`BMTgeM~@C03vWiNg2fIhXNh|aeMmM&SMde0@#}F@z=XaE*76CGLoQ2!qXL^ z5%^*S6hcisptjye^k{_gN+!XNzeC6m@gzw0(uBIiPa&=_$83*Ytp5n>8!EMmW^;;* ze}hVA5Gc|gMIney3VuRIDM#lg{ERprid+iFm<_MW{|wg}v_%nmijRlj4h5-ZYS)_x zHAK*!y+g)?OVvQqq)74&g@S zC76xwn~iaty*QHHnx5TGm^CmC>{|nleVlUOmfNTFYKB z%-I$U*r>?a0z2fcA>}O~eY*`1C~Z2MPEW z$@OGBU@tc3j4|(AFb66Q2tG4MnIJ%`B*5q}$5L`ddJcf;0AgpE6Z%8YHUX)lIeDBb zZlx2Y5CJU_0X-80Z4)qq@L8YD*w^tnJMg(D%y^OAsQsPzv+#xe@kQgz#2xV^mGGsF z%w&ZiXd7RV$xJ!UP0-Ov^%+ld9Zwr%syl(FUx{bfVQQQOLECudai$i??&?BLRz`Ss zLJ+iV;KYRIf{f>urQ`98>$Q&SGok)I&fSK|=|cx@U>0t0oD+Ur-pGf1SflctioEsj zWl&(e^4i04)KSQ@`U*YC3LT4zF1~W4s0#0j3S^`F=&W)?$8rMX$`Yl@fsqPK`ii2` zO3l4Wb*QSK@k&(3$_S>)5xOe1f-05%s=R|LWvFUJ%Id_k3Iw_8m9T30f@<0R>M`5u zTZgJ_rK;THY8i_fsn8nu!Wzl`8u7iFYp7ZZ`I;QMT2YHy;n3Rp*vf^t^26AwMa9~8 zOf}yoYI{m+g+l8D3hG*sYT!odnxX3XDC-&I>qeRC(&Xyloa*r6>WLid=O*fDKy|RC z^;s4TT%ipd1r1k<4Ub3-U{HPXNCOLfW1L(gTWBLoLF49e1N2Da!&ze@awD!&V=NfH ziNmfbJgSMYzlnaY2~gQ|2iKe^*~~-V{L!|Vrl6UszZoa4nMtXMoVh`Wsp*xmg&n2E z=eU`&zlD6SB?_vQjIxzPvX#!U1#HtAR?te+-%7C8dJ)yy0;-LBu02+4;Z<&fN3N@2 zYWoY<#s+G8fol)&_?U(ng{B8Z(1+}z2t*5kN()KpkPEKrLrd#KHm(37)CUu`BmZmz z{*gy7j1M004NVK^NHa!CoHQr>9$l3m`J#(dDBM|y^0h|~sXV(=^vvAfFBX{)s43Ao zaGu-&5!=a~<(L;YIo0UFSJM>tV!Rv zJ<^SE=k26}l16VDb1I+}ur=Gg?i9M1+;^DVldkvuBpyllF=5CU*oe}*2SBK{<*fVLzIM55^4uj)sg>M!dYKwbtAl!q#30x=o77J-Agt>063zdMfuSM<{| zCxK>}shYrnD!F!C$>C?)VeHW1htgr0lYnBzb~BS^AjwF4|1hS-NCy9i^-Hr~=Llz2 ziz`XHJIUzB&=GWt(d@DjZp_LoZg>y;NRo&NMvF+^Bfmiu~v|`tcxA z4ME$J9Y0<+t6yJ!kl@ckZ`Ht>&hGfnA_mqXch8=!&!Ve(Vv^4Bd(3FauZ5V*_| zbe$n>6r}SQkVZD^9HfzrD>}!N+X!i7Gyj?A$ZcYTG_nbq7x?}*K^oce#tR~s z^N>b1C+VV;>O!H(;!l-Dg_;FOBU?0ZQ7!O?D(RAH=Yr0(mtNo!p~W1aZ^=No$tV%m zfvOi5P5 z{$l!=u4mM>bHBf4&y zyOzbeUTQj@*u5^jwO;G8_>p)6CVoA=X1&>TqeOHalF3Fv+35MZ*hIR?Ikz#?-Ox(9 zhSZ0wg$hKP1ys9l@-}?W;6PhWM8Zt~Dup1G%x)stM9A?kG$2O_Go_0NsXW$F@Po_IbySJ;%=5$F8r(?qnyPVkh2aC;vxi z+staa3?nBA+f|n;6(ahgfSn?Y+t=kxirVNX-Gw5CTnK|40XfroDNDfb2J%t?|Ut z2hFw%&07D2G5eGU24Di9usEKvIiTLTKjTP1q1QiG{eU8wg{r@XYP^Ob*Z4yLfF?}- z^S$nkWkb-mGUiMF4_K91*pX}4v1?fM`WLa;muWD}EEqGGEX7hQ3tyX-YkAu{%p>dUp7&MDSK2zyder5bzrdA-8$&|{J#!}K9 z!RP`hw(!;%cKV`i%s8(#|J`g&B<6RM?G1!U=P?oR*dGz4m9O1gtT>*^9gIUa6{ax`nNvwZm(&2NtJ)Et7ZPo)p+a;ZD-^2zUZ?-z^)Eo9c z{5lj(!mryp9G_w_HfvQ`JGLHA4unrkSUsH^j6#woWg*~L?ll2}aI^8jb*3#oTg$1+ z{A?y|AOE!4R4uz34LeLru_@~@A5WQgd*X`fu^23&5i;q-%sxnl!v?l7=r znI!+K7P`PGg*FD?{Vt5UB!Ch|Q+7!r98FEs2T51gCM=fD%!f*kJ}-X>!Pw<5t3LE`!tWn<5MORD|V5>_M|BKLV*o zdr`;AP$(ipYS~IS6A_fr6#Ft%aUuQ8&Ob3#`;0&y;57rn1#L6!O8-IIhOGUF z3!@xEcve%KV>Ct8xsx1_Tj~#~KMBqAYRWDx%V4wkn)Eft4Y;;V-}B2hV+h~IJAm-* z@5e?T*o5>;tI*TV8#j`YuX?a$x_(Xwvv=RGAHekd%Wyw574?EoG2aZgihDo&mLG={ zA4B!c04o0l<`AYl%g-Skeea*c1a{R8@x)%6mZN0BLsVmwH4L|7H17=>6^Zi_Je6Ro z|7XLk%D3^6dq(iQi~EP@pBL^~Nfg;d4Ozm(K1lB-xmin@bLp$Lx;Vf`2U5%S3D-4* z)Upj70{8Vye2#DtA+>BN1It8KXhWM%_GwM|w5*PXD8_NKcx?nfS>0pfO^(B0-<~4A z?{=a@`=B60rs7lVq^h_S>eW{6~b>%GX> z;#TKKGt)~G8VpILr4`WH$;(*2OKq2-n|HR06jZScScYM=)4Z@&Xm4?N5`VdFZL$ zrS!`%yc>)&z!4${w2V=K8OG7V|+o$Ho6q@&VScU^o(ui=BysvI6mlI{u`f|Hn!nFjY<^$3$ z;4-h6FYCE)0qLqHL((s_;-;6C`n|}@^>IGc)~r>AKa`}JOCu4TOqq>0KoB>7gy;!* zb$CXkAjyQt{=uf+jCe>N;rCJY&)9?e3Mu6Qe)2rb(smbt#tc^eahSKEPLY0|8ZC2hV<%fUcE~%PL9(Y^jrD# zmEgG-Af;0XSG^2{ouTRG(p-f36{vv3HIFi*9R7PE9pMRXAUIY72+K`5ppzn%Sv_mP zny@-#>BmU~A?pILndlXeB}S;Za%Sp6!>`D?$oh~*wrinIAl>k=$x@t5QG(w0_2ClE zX@?<9tHr69kxJ9V#5P5zm7qbrhNTAQ4`0vMpHExGM_gRPQPn9iD){doTT(*e!G|rz#j5oQ%Qdt(dn+QRP39^wO)7fd7Au0+P> z5o2RQPl}*4u8H25E^TwHH~yW~YI%}vpXJOmR%q$I(Wf`Ul*3NH)AATSQ`hqHI)|{! zUaiT`KFh@=b!FO3$Sr41nEt*Je^Uwre{Lt+PLw$DhbAZg{9kACk`kx0rz21Y;`BGE zrxWpLuE|c=;&LeVN(uO^-=XBWz$&a;$KQE4Jxnz|${vY3rspdwuYnmTk%U49##7+AG! z3)BWIa+(GtxKZp(C%;^s_ktf3LYcqsM(O6zVUyWJ3AcKdLLbD8=0gYUPO8w{F>l+$(YwpU2ur^(YpG5>F$ z)%+#Olr^4hggSFdpUY~<9B+(pLQAfMDn*IQl}rdzhK*{|FjB zG**f<`8U*jpeBS#nhxjxkMh>gMd22FYIZR?CBG{8T%~}h7#>C_1Q!mxk9aZO0BTQt+s;_b+dhlUYVFf z!zPQey#)Q0xAns)4LBD}V@{H|MO{2fZB3SKMBe-)%?-kz`A>HHNvoL22blvmn5m3u zs9^L6L;?5`%+bI0L3F6*{=E;@*D#F9Fuf%h3D}77Z@k_85ESbO-8b|)%CGF)e(4qN7Mw^-auQsoWb9w_zpMiA6qY>kCN6Vl2mJCo!rqnPHo5Pa2K9`H*n^tRn zheTnaZ0cH{@#b)`&P0iGyqStfwWWv!4!c`=JI0oNn@$ zhA!kr=ZiKf?d}lefqwsPI$;)io%Z2MQKkSEriAwK_3p{rZo>fqj=>W4!*(ugRvu>7 z&(f@4ytu!fkERB&3dPq5hYyN$)?_WzWdCV``1;)Qo~W1aH{lA0pB0X{gd|N;6`6+; zx_D%UYLg;*i& zV3iDTCg9IIjlQ;`TTg(R)iAs#(9ijRGX0YT4Y;U@V_y9Y0~6Lc{RB=U_2ZKDFCr~x z{f;!EO+4L{%9AcH%x)wCZK(3A((RtblU~i;(Z=%K&hpy_Tz)T;Y&c^5G-8}x@`ut> z+}1r`jR!|z$Ih~+KwqRMMHGZL#b$=cM7L%V87XHr#fQYLM4s1aKtL#0#0q%(_U`0v2@fy(fA<6*>?as4S_l!zHr z9wlQHCJ^MY^pVyeF)D+U$R$s|+b^|I=7t*c>odX==NOS#MO1I6WF$DgX^ zo~c_%M8`?Ddhc%Mwwm)P(E8G4I-zxhvuI@7jOVjHcjiV&bb85lRY}-x2p6IjGUv{) z!L7KL)L*bjmZOev>GpHOq5b5MBao59Ur-{_sj5v_sLRoIs9tDju4)__p4M^Kl`F`I5#`N zGbS`OC4AU}d9R{}CN$^GW1y;ONGoIHqPeUyMDTZvuv>^YQHCT}rtV-)c~SL2N-teR z7#emsQ>L#~yDtOSM_01k@oT)ZsLxU|4yJS)*rBs`u-vV$CWC z%hZ9e3b#qmuyfDy?W(%ZU`EkYSh4ifqFAH|PL#>gzN4XjpkZ8s;X~$HN!60{rh)8ZEFbua+IHnzr|PPR=sI*LA&|zWl|`f}!=I`Sse! z?NgsZ_S{MiR(-d4rN&&ProgP9B5edbKm26X1p+txP$oZ?7(1a3G~KN{!y1UYh|=Qd z^s?%#!_3Oy&PHub#+@tg!l-Z(Px2IDm0HO6ZCm4-lX^KdS)U+m?}<`I=xmi{er#xmBdJug|X;bv{? z4%3|{nQp2s^-wsSup{;F&E{a4T&XAD*F<@C6O(~v`2OGo3VY(%Y4oJA@>%4QStn0lnOKvN5)R93{JPo=rmuwbY>BN=G%B{%;W2>ZKqvbD` zAK$ku@29n!r#3iVwO2NNNM5Q()J*c2=?wVj49d<9MOtxuJ%AcnL`*bEQU&rwOihxG zi5+Wvxir!FyNSF#h(gvYoi`?vq`PjU4)f}xi|(UF*@dS2ZQg06))Gq~ zn>p!_zGalUNUFN%-<6gjb=$lhk7{!-nFH?}Ti*)s;$2Xe9&y5*)o^Lk)18?n?enFsm;D%`jO4In)CW27xMOpZuVQyXv|hMI9Glo*J^ayKs9%EL}%B- z7C1#}IGqT@xZec(bT~@U&Ap!i;#@lVzd8oAt~CTroAO!&T^RxI~!Z;CFr>FE`x zo>K=dmkwL(51-SwEFb#J9M#Mh!d|eDUi@O)AK+WLLOr`AbuiV_es8nz>u`d}?5y48 zY*u;a@j|}~?tt3F_Q^&nCr>mtO)76j^jmFpbfnIZ>Scl1rAvgyBN{vOLqLpzfoteGtPf_eznT{ z3Zq@*6<_4jU*vaN6lk+uL>G%&Iu;I|6^XtSPP;5!c9-}h{dvnoI~OQ@Ew}@(Dvj=% zL3)K_XI*c*r6BLR%DP8TcLvCgx^$g@a&X79>qpt$4FL=y-!Op&sfe%oL zzAO=|3d6@jy}ruR4=ZY*)vMJtUl1C`9fH^i2K#$SvG+3S?`wi|Yxz{=%M9i5&P{0d z6vfVud+s)-yi-Z+gX^x;uYX3o{?ugip_hHUez4H(S?_hd?@N1ZRac5@vl$w(xsv5< z{=5DD=<%nI@ywt5Uo{sT*Or;S=2>`F*?LcQ@SFB>?iqFm4rNaW`kUFk1}n7(Zap{1 ze^dtz8uiQQqTKEE@6#&&zZ_|YFT?R~|MHUD(eW_Z2omG`PU{*;&gWMES; zIsTD7?rpgEJ((J0gy2!{Rj-Xd$TZ^5;H#Q3n8{?tuj{>Ycbi)ezU}v=Ys+J|scmg5 z@h5J2D?2_bnD3w^c|0x0~nBxWN&?1>aiVmGnDncP8K`w#hEas5t9&KIVn_%Ai=W}8YQVnTc%2gnpVw8^93EAok2D+B_b=ClordY zixpCtY(VD~+T|mqN+qBRLkGtdrEI<$A`_?OTGK&Weq%lt|2CI{k!j*xh?)jtq2sGT z*mN9(O`ohb2zs5+6-lRG-P-tomOX4ouSo4@Z+4*=T%LJAitQ0!0jG+@FS-sIqgF~LR>(3do&sAaS8$%=Qig7sqd+-2nhK#Q}qsI{=VIEtue_M5W4bWJ0P);($hG$hoORqWj8mj?7%1 zFNOTQu`djTt@-90rXTqa02Wim{Q?$Sp`HZ}N8sk7iNt*ts)fwpydPmL3?K!+r;e7g$NZvpo(v?JU0{;B#9-`mp9*HQNQ_i6v@aP>Gji?M zO*HXdi$pW?cNk1J5BWe%V6jUOm0@|n@$lc{*=P16YeIREbVLrFhHuM}PTjmKrU9l# zZoOyNo9-i|>6@O@qAN+>3%c)3eK#F`lltwa*pc~z8dl;1ZZ5gV10VLvc35AY^p!)P z-`P`y)i8|ZGowo(#z){7DIi7>AUknc08Y@v{uNW>5N|BPO03{erxARyPQ_Xx{?QRD0LP?N5T{#Th+FFi$6`qtZ)gJFl+jJg=2bCidfS-Z^Fqt< zhPK}|WsFd;a(xk$x5+wgp7uWG)+U}_nJ*vVZEQ$%T{Kz^p(feSKoguuLGW50X>HXU z6`JTv+B}wPyGf8II1AFmuPETS z?eoKsL$`EyNlOpi-Oa$zB@Kci4bm;$-64pSv~+`XcS(tq%#Qc{JbU(>XLrxWy?b{5 z0Dh5k#_{9#b-hcN#95UcGqlsDgGxCN>QyZ0WHN>rQ226>{hS^{vNs6Jg%^(1->vB6 zzYtbP5uIp$GX77gjaQ)k8DA29wqzxH&!)>mqgT1|nGL@Np34@IsJ_qd;6qFp z6CsH*nr#E|&|Wx?^HRU#eG0iTCRB9I5J&v3KQYcZikWX`)VOSbadiBXU`)}ZpZ;LJ znU=i~$I4851wS`07M}+D?)*mZ(3|9z8aOS68P^m4Xq=dFzH5N4+%5^)-oj60XOlGN zwu+sM+HYfT$+u`&mHJ30lL37tOyqxrG}P-niUufH-`FWnRVJqu(Nl8Rd}=4HjQ9Sw zH^UVm+(EZ+;WOZs%#(E7!HzJ6IZ2VnU-?dq+mtVR%*p&sG3w-rSwhYVpWUBnki=Ev zT<$@N-Q(G(sk={*{J*i(l80}mA4v%dA52(ep8iY&u-%GKzOVrKMtd;bZiDemfr_ld zbr@^|CFC_fyCf>=aqpbM0HT)YHlxyE-`p$(ds(sQZDpc=>qe68X5dH>%O+>mM6rs} zjU`8=Gq#p~;t$xF@DLo#GvcwAnJb!UgWZ$7=2DBbh|40C;amLD)HcW!=uZ9$@`>~{ zV8|kcC(h;lE~!b;kjMd9e8BT=9rE%InMq@KBfEux{o9CoAaClFWAI1KWuVsLL~8YW z8xEZZYWlt?p^tD3no67@mSl{igy#PfqXf|YX?Fdwv%42ak;;0vcyh>1>RpY zJHXNQESmpxgam()oz9WO>#P|w3C|+(T013plRYiatB9}mSgn3&*6r@LoTt`7^LysJ zli=@4xrt-F=9TFRrkiTZ+7rd8tVLrg?^-;{Q++tv=HB?77EE~tzX>c2c6*nFbJ{_l z+LtG(nws({TpajTXNJ{%T9|WPU@jI<%Ns9uG3D#l?g;^_pD$YLCMfMZ*fZC+0^f8J z)m~^8KTTh}TysNWPGt{vXBK1{p|^eV_VIsW1EI2WgWTN#rxlG*yW@XmQp7Mgo%ya`9! zls;AeryAMaml5!Hrtmn>AUqBf503-UzkV3efpuS}e-}G|KQ#S6fVKnQfEtj*pObJb zxVI)ji6O5&HgWt7=@2S2f&7oXI8f8AN%XBB;G;saJ@)(uck>=bk0~5`Q=ovhn>_dt zp4J|C01gdDf*-eISqlyTZGV1Tm)7lJ816jlnq&R`y!kwzkx%_M2<3^A^zZT}_{%1; zsr2z0uv^HKBi!8s9(@X9t^WruAc7G?gcY)kfoUSOfGGlmdI5K#gl zpbP3$9?Q=}1sHHPSXS@{&ytS>@z#4YQOWXip**st5%P)!Sklq~a~tez`AQnHc3!|o zLJc^B@J%lh-uGp4_8>D^l378JQ-_dy;91~ILK@54clp%7BAU8o;Qb~h5I|@QK)=XG zz6=FF(`HcuZp9&tFQMojG~)M$w6pyPvdghby+B+`M?yL<#ERy+pC&y57*>GJ1rYb! zNzAo^|3%`!-E*Ib0&IXt&;&V*({TZVIH`)sn<#-{G-MleWGBnWmoz*;0D*CzLn4h} zyAg02Q9QQrHg`zCb{FhSpVR4Tlvw*h3xGcIbJx>E$!oiiU(H zp~6{1*kt_7Hut2Ln>5+0&2=vyps_~M?t;bPN%eXNZnIX zhf<~wA)(L$3%1m;Ni~~>kR`UX^5nH2`?aO_mXR6gBuZMf7?rOP9ZgFNW(&X!g^Ht4 zgFr@wS%MuN60e58XfaBB1fwYUeQph6k?{pK7RzGQkjiI zSizJTg#W})rz(Ppt=Osv1!`QnlC&jSR06?gLERxb>%?`Z9_P@EnQz-u-RTg6f+%rBM@ z0WxL}<6>UpvgJmI98gjXXiWRq@A`rW|NK;OT~9lQ0E)^S+_rr4Z9szpOcf(L14Ju2FnU{h(1ivo@GA%x2<2rsjL*^oaMAT4djpm9wVs7`j9xf>jE2##V-+`!cEKgZP~JlW^DPbH3j zZ^;hQ1Q;{w%Cdj}uj^f}mnA5Wo?wVJU)#uwtvoHAQopQBzdIASW)+mT?-0b8WeMSX z@5pBgi5HZK8#%UoJWeCB0t1+W$qwyT7_*R%9d1i3Tpb|9_USLSnlA^|dGan)Mn%9L zgnN50pk#g4P`&)gyiy7F3wD!o^H`nor|#+pVd@qfQ z$?JjIHL_)l#{$fa<;=%oP%UjE&DgWizXk)|m_cn8eR{kT;@t^Q~K0nS(B`H2bIxxSCNPGSrY3MVhQMRoU?m_WK-x~gxO1_tJ-j@=dmqPBByw@+;oG%$1 zFDY#QqqN=}4q5zC*Z4m~vj0gi?1{p;?L1<*{M9_N`K$^{_aT;N>o02Wu*I*Zn^WIAJOP)CKMewZ zfb4aEzu%z_N}@{AntC5zF>i;pJt*Mv<#VF-*tK&MU`V{QG2;^UZq4C8(y0xnslHz-*lgs18oe-1}Pz9B6jFB)0{Ur=7|zr9&IEcc3I;?~HV z$9jM!iY3Divn5|K+-FAtDn=cpQB#i-B8p!Y?WM|JY$>u3@xCVTeV5}Ic?*L>?5YYb z{#d)e+%%uK+7&&h!v@XBH&X%JhnOvv!0FxE^wv`@lMM8*x`-iczJ!3O6~Rrr8w#4& ztz+XqG}-|&vT!IK>SH1^WTICpFJ$S-cR>PXG{F>Jm~zl{lEId0G$ zVqQFIQq%?amOylk>dF;MmLSg-}cA#e8zl++tCoG)ya?8@QCo_QHZ1$ z?2^DOr=Yv~_afA?U9wwm?l_z41sK!=)WzYm34*yPd(UDyW|)6R#Cs^H2F9`N**)>Y zjEuWq_%i{`uyF#XZ5u?$S822OVZI4GuCT9j6^vtrl36RQfFLOh_*W&=s4<*eR4p^6 zeAERBRfkumfd_W|)9>!=%;*4eyQYVA9eV3&pV&7`Jh9hCcV2X;0Q0;AgUHzggb;AD zq@~nOanb7|0&0{DYWwbTgLo-Oea&;Eqbh0#rUbVktW&f~85HmtxL zcVy5^a@TIMV4^Sfj{4w!*95@5!kzx7U|sk!So?VWt+Z_7lslhaD zY#RlukIv-XfuG)Z2~z<6>oBjzNEc5^lxlpKDPHy~;`E9B5%|!ij;Ct+m*%rfPdb0jgG{E<-tIU}rA!#h7BKTkf&R_N zglpAM2*v}$V1+(gNMe)HnCC_rz%7`C9~U6RXWGl<3uvHJibF=oX236p0qkZ*b6Si>({j^X zPNi^fvz5>Y063hsugdk9zL3cxXd%blQ9R5z4(ZXz{EoBxqrAETb1bPxcBmv#+e=XN z2BD`&8iM^rvzj=!tPMtI#h9)*kraWlRJuVRo+EkYb&!hjEM9KB6XO}zt6-FG0QHAn zOcpN%drj_S93m@(*bla?*l`qwal$pGa+aiqCkpX^_CzTj86`urVftEKw88ieamW22 zcYI^4o$4;x>OK6Q#EtR36VH)s4%J>boL7>7TV%lbKfAlUH$n{bP7&N);)6j^loR5lxoiBhr;HQP|L?H{ z>eCX7w?N}n^qFn(?R=MhOLKXyflayp{QRU35uPNXh5^~!3icl*f(Com0pqo!jS|Ay zi3``dj`hpBosM0#x2TgH8}}P4T{jbNRn9v$0iUP8BdWWdV|H$#O-=L?OuCJ8bZ+D3 zkN4B7yZ=z_+#%5zALN^K?{n_lrGbt8kWu&OitXHEfz^+V=uCRF)pYK2Ta1lC)jgZX zI}e0##wI)`J?qXo4<)~kPQk@_C1%%=;@i=glu54=j;>=(>e0Dkb?+6NdeJ?4>OUho-RJ4w-><;WU`=puZ3*8l?BIHwvFo}m zs~0)Zq5ciuEuUaj{+q{&MaLzFoKtA60?%!N&_j;Nyh|@bSW@+Lzyl9e*$C-#qV9 z|9VJxhoIR;`TNcTfGM^OA_9hx(#0gH_Sc*+h&Pa&pw=w1Oz4qX$nQU9YHm=B9z)b8n`2v4u^lWCP2T$ z3=xV76$R`f+7uIZ4un*fLZQH%{DBfVW`4U6uh&YJRNCzA1ru<6ebiE z0~g$hQTBf5Bu7zvhS8#TNU1`RbrsOK;pi>RNaI3`yy4KH1N>m2=qX4P=M12NB#Z_p= zQY>Mgk|bOUCEOY&oK|4W34!j~5}ub5UhWeBq=`UKV#-#mMg<09W+M8xM9k$xY=?wK z?zrhFB2BlrM@<}mA%gFQQ9{8{7eYy%v~e|USbaiJbnZ_mN?~F?fXt}KF+U+f%Y-BR0g(_LmHShT&fI^${ktm z_DO;`WHl(Pydc@a9q@_6B#Q3}jgxWZk7(H!RyUSBkcb2z;%y`BwS1>62SW zrNH-Nu3iV5{$;K~Bi0|nHX}-`W5To(Ae$*xw=Rc3W#Zf?%UrdH+{eOPl*8-=;asF2 zx$Ce`);pj)1^v8^;Jm|!+`Z%610(Ab2kWa!w_hWHXW#PXjq+s#^JRzfv$yjz5elT3 z3b4!bfBEKLALpHaE7<;2a9LS!Pg;0TbW(VyR19V+7C0!5MJS1;E#Z|fA^TDM z+pbvJwuF1AByzhX9HEqxsgx?R;mFG4vrQ@M{+xtC=*MMSx0VYz#6Iq5+;*N?I@l!~`f6)u()L=hFvg%ysl z-U|GK3I~KrJK9Pd`AR|NieuYKo5D(HZ)NL#r4>RIgtjU`uFAr)$}G5wwX{kivhrxC z$^@a>h_?Eotb{x(U&Oz-jjfP!rJybv`ejtDm(A-tnQOlz(GO)Jcyp^2-FnPFYhtBX zsH(cNz4%*u$y{{p&*-;Pj$VURF6(4O+mD31WZ9dK#moNH3!`uMPYBOP34djYUbPe6 zWD)*G&zU)a{(0nj@+bUjOb9!9`(Rvjd{T3$?1G>|2x2G1P@%;lC&YOoz#F3`aPmeK zbs<_MAnhO^7tLFBZ0PVWJoPVlWm1C7UQ4a=ma>|FJ%)fYI}dRT`nsB&&xt?)cIwSs zUC+4c{3fQEHM>M~wM1B@0US`u(*YH)CRJi5P{ANjBQH|uD3W1smI`pzVE54@cZPSe zO~&xe*xj|Vp%&RimKZfUF<*=@oS{xW4%JRh+4ye*@ZCj=T{^5hS4n)UeY{1T-l^b! zV8{O$P!h0OYRBFpw_0XHUL4Ne8an0}Opc%MgqP$*l5&cdHiq{(yY!P2G?Seqw;C@$ z2CtCaBRi&!cD0%=yD&1QwLH6+eyp}s1zJpA)+h>X9{Wf_1M(NPhNJC9K$iGoM`J_S zd09w#0oHH;dIG66DsHHTA38IOH4h8+{AtMjV%TtY*DyJ##{{ZP8Uz3S_lcJnG;h*9 zuk!hp7_`#S?QR5}Ac>Izg&v50mj%5=PsBQ{?kb<|;vGsxVa56cf|hfCzp2hVzC(KG z=!SlSDnb%Dmb!Tt0Z3xsuc}>6vU`>>dU@`;Ck=b~BM=CjyQx%NUd8sV6eQqe_OW&L zajf;77$#!JCUS}O^PBbyJ|{Hd_U()I%|#$F#ddbYK(QLIuseH1A^@`m{W}G{lRlj! zsvvivRQHPhS(@(Q2!y4?o_7yW1JamTNRLQ508y-0Rm_ECYhbx!P;wDq`p^mKgvtwj zpVb_iU+hc*bmhbUbfPlHM6HvTGc+KBL&hDq3SX;DhUx!BvO7t>n&8D@dM1eBC5?Ne z)cD4nHP#1=z(1z5R6BCkM&4_U;L?sxmJb(Dl$O08&3YQCihWgbhFeeZp>l210v^de z8;N{B7Lq;I{#??!Hs&-s+Ot;vU2NPP9?7opfJd?e;E`O3i3`lhPKv1?6qC2_t1jP96=qF6 zid8+YO_}#jqR>vS|Cs`;SKYmzZg!l8du!18^zi63+*`vV**a3wNWn8(%rnFvW+>KY zb{=PF)avNOXO#_Rnbhi8a%b<_XF1O6x&F=q$me)roZkFqbGQL>LY$2vU2|lsa}pDc zl9cntZ{}q`5Rkd}DVSBrcg;(PPN~-tDPaM0y4q~X7uGQs4Ap9gx)#9e3+9~j5Xwb4 z@kQ&nd9@FV>^uv4>+SPZi%-srZsG*a;y-h<7JXdsy>oxQaQu8f(E|6@LF7vz=RRR( zOX&eiQE}hk-nw9QDW0=Ek#gDR&2p+5UciTCy`<%=^O?Z)<~%p zDsop6x>jm9m+Stnq*1Om#Vx0st)lfVx1D=^?OH`HTa497KYT;dOoZP zi?5B>;*R}YBR*Z5U7wscTmPQB)=Rm*G|{vIJ6~N}U*~#S@1We+acSO*TRr%&p^-as zw!TsMv|&@baLxJkm~#~rgdXAyg{$of&CNG6ovFB3Na`T@XQ-kisIXxRW%4_~6<=Fv z3txRp%oM8Lutn0n6}kmKcH<{;Z_}v%cpZU6YQCdBz0H*bm^TkRfm@~$_#6*=nrBd+3wU*V+pZ4JJa4zGVb|&cq~v4Au z8^?Js#|2a;MG_|^<|k!=Clz@oRoy2w8z*%yCk<4mO%kVH%uibbPuucN+q+LYH%_}> zPJ5`%`XtT<%+H24ya+RJMg#we?K@4JY3%cB8k{T5^Gg8ES>pL}9p>8P`9H3Wd-1~! za|nVt=yq|)g?WOF*>j2UeGB7q1EZ@4bR-7CP=GdTk;)p~h8p1A0~BRZYVc`D?Tg+8NCq6)&LcH+%HsXcw;d3ghu+S30awdG+big2mjaQjbcU*0<5 z{)S6!-T#oTy z{1e-k4{))~OM}R#`S|)0$esAe)9}bc1FZY?NRRu}_z}nq0k&EI86|=3^+2{nAZrk? z=R1&n8pzoL9D)Ic^Ph152)MWilkkK#4Z^Gj0^t^5@$KJ#A?=30RB&$%FKKVVOWKJD zdm1lf1qkGcFUR>vXHzfA1xPBmFja0C9B$uDA>Jpz#2aAZTZk_(M8Fl|a1V`C7#eAE zB3cq1R-72WhwM&)R2Tq1vM)wiE1QbSaUGj4HQ z95?TXP;+T@Uiso4x>}q4rhT(J81a>Qy^#Cvb27a_U5;?y;bfsqtdN|jaC!c7@^phOZ67rHGfV9Ri3ymIy^r72tQr)Gii0q1#75?*BYJM zjD!$@U#bo2&b~UPDSv;_tJeK%$Jhfv#$!m71V~*bfS(}^IH*rs^nK!Y)5U#aT;qs1 zSiiO|u|*|nim^rHbBYIq_au4XI2&?>^=i|Neh7}Ui-!bU;W(S}AI_$p0>Cd^5fn|B z^dpkVu{`Of+L%0jLHL;5-37B4>|IB6V;tYMJTP8=ou(V-XzD2%=dEw+Ll>y72tj{S zo*|7YygyDGNp=B$b4X^-T`&cF;Rpgqp^``fWMGJBk|?CMklXNAkRW~(B`9v;tg=E6 z;T(ZFci|kqG7YURk**>wTx^?Jh7%h@3Kvk#!+#^7(L@z2f|wF%4A5EJ;E`-$cs<)v zoMtf;CmtCg3^UzK9}!D1h=wWGNJ1J+luNQa9OxUjYKz06Gmt? zOdG`@5<(Y)Hlj!$F9uX%NG22pF{T-MfXXuMn?TIDe%BzD!YE#J*3t|QbhgThCUkb4 zwv|!#hBCYuj^-LE6;9_R4-78Xy`nMlj>}ngitcAJRPJ6hz8?((g#V$eJtKJ+15rfm z3nQ7@?TZt-#|4(Ilj2%e-R9!nY{G(|c0xO`GU~zyIqWDRmLWLg?iV4zqAM~W~>mOv|2 zMvi#f4^N)d;R~Ju<-*pC0)Gf$vLatB2fY$wCPlvzOMhbW=J7Xl6Ohg$+oDG<%PCIYTr>I^AGIAMemYm07}s=)p{ymiC4psTBA zv#?-jk=wF}<~pGlV)o&$z>;N*_+6-Vrpw*3{hI>)mb$cB7w>A&7W&V&(fv?QEF?5! zVMXbPhQtU$1UkG-MLDkIBv>3t5k0k3*nfKKFg$jLPxKJ{l;DLD{5K;b>fAFa`Sx@y zGOWtX@yV$g9Hp!pcyjPQbaa*BnH9AEUU_*?=j!9jGf6FXaW&Bhu)WIrHd8C{XGCM;@rGLOcH%9vh-L`!d;zLl6b?aE zA{BRPA(r=%j1SsO)DfhJpwwQD(_brgjk}nv5kWzCMJpkYkYO(OLQ%=e>@<(ClvVFo zxwXUWb2lLqXDn>Q_q)nm*2-;}5M{l(Zn{JNeBos67B<3=@?l;;)_I zJ?=?krbqq-?F@=izT!yc*DEygBKN)T!>uj;^3tLs-X#Z1^@VebEnyPa_J{AgMdCaa z4n!Er#?bP7B0n`Gkh&X4lAEz+siqriK;z4FZ?rX6#U$~Tm(OpR`Hx8UAo`a#yqxhG z)$l4)ghDkdG{NYJ{%0qOpmh91qOFYe3JKg8bg3n$=9sK=XMWXnPJRn~G+{x0GuoGi z?+$}^kasEmj2bG}$)+|_aG8~;nEPDF=VPpM2kWZNS8`?6LCenUQPtLtH(V@z8M!dweYK#dZvijNYoD zaqk^*z0{^Yo3~TYTX|LI6H(v3jh&EWM@#IxL-hR~KV{Y7pl+A45@px>$=&IKn4$BW z?N=vT)5iNjUxr|cB^B(<2KhVdWH}|FP%!amjq_Tn<*^&Pf@yQss?A_WEX;i-Jzf!d z;g<=f616k_)H2KQEgPCWAvBjhIgD5?l=;e2d}{5hAgb3Sa+jy{&zroxRl8}@^R=S> zUj?_GLEh|f>nd-3i*nNa<$sK6A;*h!l`%O~shxP=SLt?hQql%CzHaWXH_86=cUB;G zrzH=ayMT_{N|YPgENZP%WdmhH3#bCc2x1hsR<#S(^ks7Mis7CL4)OI8$oBGih!KTm z4SP0jX}*zY5+fVyZ13agoaN~{Y3#-qhX`DH5Kq?G*pc;y^2;0QQ>mVvH#7{qUE2(F zNEGzWHB6peVKKZ+&TY({9IInZ6GhT7PaGSF%`>xo^R&%e6cYR+sK3S-i)Q@E6>xnRodvVR@gU*3V`Fki=s z&^&gCJYlf@77@797ErNnxkvAKh!#M|X?eA_8!G#_tNU7OW?S+01|eai6{*S-B=W;1)gvW{ZMsebNB9PE;xN1l#~+Rl}6b2vIV58h~Z$b|8IG(sq_?3+T};>7eh+ z=&0^7pcplr?t{F|LE)#k3JpqejeLc74pNBc*mjYPxy^f zNp)Z5+Xt_1f#)A<=)>al!=vNf|AepUu#A)9)zdiGD_^o?xTJ$CQbg^~Dt~;ANCLxa ztx#F*l!4?D*+0rkFcT#}P5ozvo{ag|S%ibg10!EW=B^G(&!z2v$=2jSA%7)cCg zK(1_F&UN>nw|2joB<>uAQcR6z^W2;%PjvLc>l^y(+(!=C3*h!#_dDda{+=1OW*gG~@E7ECxHv1O& zXZ_>s7vR*Z@nW8|Uf#h@z7{FFv(Dd0T}@s()C^rhdSlMkDx!l^i!ozAQ<~bn`Z_v! zyJQu*YouQzs`?VDBJcMxWhyAtQYw0L!a(Bv%C(xS(Gr-Y62WJjqXQBm1LG<)s`ULreE--r;A?MXic&NQ>+w83cEv{6YFQqg0TSEPb+?dQI(%QCh|Tm@{?n|0ya~E z;pG0|bG?sm-q-33t{AkfO)>7xxf2?C=17Nf>W0Zp`|@+jtJUtr7^21L@`lxdT9(rK z4Trt@Pj+<^e$R(e@Z(Z0J}r@QEVUQo;+qRA{3G4>uv?9^KxU!d3r ztDb4CKWkZviz4#t7wYx2vdiVhio(!z2ir}IJ26Hv_Bx7gMX|rg^_q<0?&;&NtsI7% z7agy7sJ-!0lP6;^xz*M2V^mShGH{et3HY%3_{{KuQ>b09@7wKE(BHXW%4x5)E=0L` zBrH=DN>gr*HG2`$!IJr9E7OnThH4-BNmo|G`lzpyL9^b})ak~1#Lasz6WTD7C;m-%cqDLt z>f^c2N@$S(o_k3og$Vw)^x5x*VS2|_WIJVRGCTJKJX~h@m7S?xEwM)#j zOLHxm)AV;ftQ?hSJL_#!af+SEiqZP)8ysNLVe4Fp?VJkew6mEslzeSW9r_hM6_}zk zKW6Yve3PTj=)(b(voY-J-0bIH`;@CY_}fAV1@dEJdW2(3RAOs% z0h(+BNfFm02D4sPWS35uQCcbyiz-v~SR${inr(0E>NAKN zZ>mi~V-~l)jgN9>oz%=>RW0h&KIVq4M=`CKM)GfJzL?hzn42zc_J zSc1HvX?|1|H|rR;a-6ervbN~*WEp$sWUzR2DfZL&?#SeBbYjlNKGxtD=dp$Q*cFx# zJCiNP;?(W>+;6>u*Xezki(Oemec6I#4#cL3I?#Yy2R^Uef^J>G`6V@RM{HyxO|>l# z+hOewj;YAjKKe7TsyfK4IJ??BySlpNfIPK^#ToMnSpvb+mA`7i#FN(I+QsK)d++tX z*%}{~=l~8J>H2fQ2>;@+>Ba7VYw^qEUJIA~v4pyvjrJ+Ad3&HbtGIb( zi?++)?7@f8D<+Rx&bRbF?7T!Kb-KU!i5$#bHSX(vvX)H^b8U_c&At6%GQROva@`qr z;S7K|BjB9Fa_*#2Kg>G~{m558KX}^wkqSlqIjt@L!O1<}LDw30*-DYq!_v^2rP$jD zT;9aKf>*@nZLA62uH#Bv7838eQS088z8#Ba6H(`M-t9yQ2fW1B zXB^i$utoYq`#$+!jV>O(;wBf2$A4nqvgOaQb$f&qpQUf?e74=pc)6Cs@|2;xk>&IR z{&Yap@I;K*pX++_*m!$; z|L*s>h8a>Hvy}g4eIq`+D9>T%z^PyxG~xV$?PGUgVvpjo<+NnY?2;#VZfoH7=FnCM zb=U#bt|a~(^y5yv)dlmHXYrhiq_3SpxZMKBpG-6BfFV6xbKk}xHQ#(Q!ftD#zzct0 z%dZjJVJ{;Tzy4?k+FwjM{kquJe!Cxv8URuCGgkLtc(IR+{LK{M(UN=LT6_P{>XDXb z0&P8eKDg)d-L#Fcm{K={GQV?_c;{s6qhxbq_kGDV{^o7`nwz@ga+#ah)Sc&sPsN1~ zm|9KRdAXX(S9Zg3{@hXSjlbf?ObKkkH^J-Gk3Ho`*MN_f8u6Cl-L5R_?j4hsy6Hz< zO!u&QoTqhgZzJ_t)7Sl5`2Z%@Utd1_YQ?cId3DgX@SEf34(HFe9=9GLM0Y^OyY6xe zYp`e3xkK77i}Y8Hi^P!Ph|7dDH;;(-+27qH4D51YK6$^~@?mb$c4~!(5UsEpbFIzeaJJUz57$Pg|DWq~c7y!x_aVPv z>&@16d5uSdJy*e@P@@w4K_cy3p zYI9q!av9UFUHj&6RVHxymBXkZ0_WrJQKD=8T5TS?ZpXB$qna{}R}3tgG?FW@=d0Z= zoO_A)L%)`b58vnAzPoJrzWWlNd+&WRT?syXp%8xD9SGiqVFkTy<*a#3b2+L>Vll6$m00Kgp#vf)=qPAPo_d29S<`L=y_bKddmI2$ex5rfem|HDTg{qxZ* z|9tdO@joA3N@aM`i<28R9jQnp_wYX1A%<;eU%kIO@93Iue;f?zbZ;Q}&j z>8K$%wYEozuyGzPjD!ZUSdlPf-OEL@H7$k5m=65&);m$*@nXi?^ohD?M*o`GBPA)C z%1Vp~`c|w#>8Ad|h#6LWn(%9Jbi+S%&B~nXvs1~O9|#n&F9@e1lPZc)o@OaYQa3&> z%?xa)EYFV+IYBAQ%Q~s5?Oq9k)if{qSL1xUK$ormjv_kH5Uqz~{oiZNHc^gd7m5p>|nQ^L))G_4jmy#VmuL*PXe;g)ygy=Q8}n znCzv=S8RAgV<)_r9F)n`9Mn^?7QP$^G>!~9J9@^f+PgS)Jxp+fAhtG8G7FFKta=s| zqqo$ai!3jz`*suLU0oK69nOUMFV5xt8Tf&HQ;9=)nUeqa_8+}YBuDq65oEEK!t&P) zW8xPcwXv7Ugw2^o$?N_*ntGK4XvNx=gp<|AdyAgTB!uuYtWdHl2^eapF_(KC79#%pSc9X-{0=jmMUH1wYdeLoRK$%{)gfBv z7?J2{m9cN+K=eDn($^=c#^T z&!*E(shTh4ZL!fCUnY8|kHh&g9wVb8PZFm;RKi*7;21_mUVb27J(3h}yh{e7`i&;o z_%P#KiDtc0(cdc5&6(t3V!cj9I?{PwoBa8C^#kyYkOmMfwMf@AgygVISJ^%-tz(V- z4fEJk_+)yiXfD^gZ|#c+d_K+eW#{pqL~VFee7i%-F3TLm_RLb=(N7=Tbb=<2)Q7ByQI|KNNdd;NO#i^(X2B#Yo_LjJ}#MR^1>ZFBVxmG)`pR z%cA8`_|sFv-h`rR8oKkXjvb;t|0HgUC+WiPx+L7hRRiI#gDv~4hq)t{HLZldkPP{^ zHB$R?MA4EP;i*N)rY7xIsD0oLqvzOW;gZBBHtz{@(%;6gGwdf$M~V=IaWrFv8V>N$ zyGN-#^Ac7I*>bq@#6mfCNnbAjVQr1b_G_=mcMX4tc3*)#&Y)eFLc=l}DoNq*_c|Ef zjl6ScN-5^pXPqM%)s2rytH=Dz;q;Bu^n%x<8}r~x)Vpze*5=H)ngfAV@`Xq9YeP_VWBH|Ci-bN1*D*Q@48&U1&a-dvNK4@Es%OLW5Bqe2Q%;zN~&3KjT{n;^YJp2RLgJ- zL2xtS15)t;XLk@oL~sIm$NpViq__zeckGADe$puep1YQ*4=og1z!b=bL+~c?Rm$db z##a$w&K1skBpKKfKs-&ZH*P|P8xs*coj0ZS4^neuhJx?=ue36`FlkI!Xb?qckd&8^ z$Egq;^T8G23~)%z4*@^-KM0flgVaJY+#I3kC^E(rJ=}1a{bdUnvKc!;llWK0#1Mig z0YNI0Lx1V#Me0WY!ty^I(?Wygftm)9=xB|@3Iwq;g4##!i8LS z!I(0X-7siuDZMF!BxgIl7XSUn9P19lTR3l-UVQ5#BXs*}4(724m72qZM#bkct<{$*Nm(2htjIhk~k* zfwwYBeM`#S;V-!bs^(C&4F<5F8Cq7M#KG?OPg@))yAm~nl3b-JWSH z=jE?ePj3fVV%G*p*3Fm|&wdr{=Y@~bu`v5q1KZbfa?kg|2_LMIR|VbxG)YhqGH`s0xJoXsO3syub#}&H%O?|tip`lnxmKnO?Z4+ec52#l!e(-K zLG)KQ%%_t4C?eyAe()o=vT!8_98wTvZUju-PLMv45^UXIW!nX@amvdJm;Uud` z4SlaR6s^^k;(y}quD{~&^E}@dR=5OrhXBDLxLa_C;O-VA5CVbVZo%DyySux)ySuy9 zR=(Xm_nbR3JH7XA@9x>Z0Dgf3pL#!D&$_%|2n)EaZZU)p183W4J>NId%q z>6=85M#OrHoi60WK3mb^MnSfuj0ogp+2SySM&!hr%unx0*K)?w4XL87`Q}dEC;z6| z+G0r0X|56qoC?gq zM~08x?!`xv6%;&7`fjqbZdMwLn_IoxOU4sOyYo557<>c4g^UpY!fFA1LV0ea*E^dKE{|NB32>vDqs zr*GXr^rviHfd^5715t<#k&gul&RYMEVrv>28aA@e|6$qs{|0Q$ALAp$CNMs(lm0fc zRL$f+&bPfR+gxWGm8M-Ckk|3$#?cJJ=VKRS?YqC?)+4W9^ec@fUOX80 zmK*K2{=}{Gca&dluZP}$gk@}PeZHUh1qB}W=2~Cx#6h{Y`MK{s`$Acv=Xs80k!g1M z4tmsF3GOC|3Gu-vQg8gKfuhJj!0j6A1ei zp$94hseo&CI4{iWFpJH&2Jr)mS<38!u_<&d4ifgTx5a| ze4@cHupCDgy6`BfBj(CnLCKCgME0iE*EjW4@sL!^s0nwwToZX*cKyjhI49LQ{(vBm zG?-Z1A4Vpn)Ww?$XB=U#BtX8_jr){H8A|=tx-MusJ(~CeV&>UkNo8zY;v0FpUJ5Ji zd^)J#$ipfWT1;NV7w8`mT?;!ve;((9jXKs89M4@gj&B`vLSiqDLr51YK!wDEv0}%wuYQnbaccezy9Y<`sjPV=uU0Xg=Y;NbIB=-vJ3YZ9cnGN$W%k zNG@$l6fo&DA0)4F%;t9kRwk4L1H+l%8eUKZZ}T1_>o+-0Z$AHGv@bD-&^pp;0gzUB zP4@R#>~}-ryPsrOJvgg*#XCRQW zx2`pf7+NZppZ2hKfRNiQ-VY5UTeyL_mUQ9#^TtuO!YkPgfB`$BEu%I13v4Twc@*N! ziQ3k2^d=p!?dQNgC#?3y2EeNg?P$*&fp%T6u09=?obiX?j|5>5+Cv!%#6^=m+& zQjpQF!Qe$VmFt8ZBw^+%3XFO?|VqO5Uac} zvOnl93Cl}<(yH=n2sJD5j@!Et&-MEuC*SL(v30~HdP60|O_&zwBJdpzXmOH|cC0s~ z%n?OQMQ5CT`H6*WXtvB#EE^`PAdgRjk^o!Tet7d!oZ~H{g+mo-=~lFCW3GCJ6_R5V z!2ryemV_UrR}`othRKi{O;gME^Y9kB3UW3#`q@=x6qTg3CWS`1)?F1Igf)aEH!ISu zsANcyGA4az`8c&Sf`+zGKls}6y9VS>xXd0u!U8WZ5be1uaFRSW7gH6ra89b(xfECC zU=mr}n`bQqGSbWy4UzqX&4;K60a-?Ltj`L4+)G(d$4}m$RLJmwCjCX7dsYv{q~qU6^kA0c-r=|P02k`sZ{qXwR(|tPtrNRqVb_0^&p#x67!Ut#Me=oL{ zln{af`{|J^Ft$eg8=&R^18Tc~>U7vJ0MGp6I2cf;-^(7n=>aB!+Jv)kPS*t}@FzV? zYI2X4y*^PiWyOruxHA}73K?rnXV%$(gU|a4flo82&g_NtAxG+>Hxp^P1;x}x;d zPB3J74dt762g8};r@)mx`ERxprDrb20jp;b_a++*=We_KYja^G3uk55aU&}jQ-1^AeF4-b88610>|(zI2?aN)sIr?p zU%x~7$R~+R#@ixoza#Z=H?fMc+cGx4V?ESo;SR>TDn!2%GaTNf>9gC~YTaYIpUtz| zjNb~UThHX%dDr5~?pq03&pmN?HlWV0J2CY30|Z+}G0I(&z@vkV;L$-f#>c^wmaBLi z?mf2i%TXu2?Q~E}uPBpSa7^0`iXi_HR@u`mLCb9!4%dnC`T63s-g;eoYpYYa`}ga% z`?ELxi&=)3&6MVcJ{-=gnDf(JHhu6UM_X+UlZU0s&jCc5Wtg7g1SkUlf?@#xWPlEM zquglfhL?oIoKxL`Dj-1^*bAAt%8GpY1Qqz*TZDJ56Z9syqFif3ekSzsl(GsdM|i+>nL#(E%-)IVZbXwh;aFd!g9UA!A8TxWc zddFQD#-aJD;`$QZRHC0E*iT3Ka}D^t ziw7(S`KuQA5(fC#!=XrZV8vee^K8zdHyHC9uIz(I8M2 zHyHmeAkxBLYZK9H!8>mc-B=@N$}0fur$cCb!d!9W8v^5Ty<>5GlM4)SFM>AELNyHG z(+0e2m|_0Jtsg==aKpN|!g>Zml@)`O6~l%a!bToKi|j*Q=TS!g5w{*aK&-KVU-&m{ z%@wgj6A^zA!hC?Z+YoWG5OMYpaS;?=BNSTailr14`hyij0$})$MBO3D3!!e1caY;SUF_{YHCD&42mdRFpNm_ zU+D1BmHesyz|A`u344eR3y88#{Pk4{0vhz-$M#_OUNU%r)RTD6hh{NQ56r9=y-)fv z{48SF9RP6~DCCJKvfpD!HNAM@jS!gqSrQS19t|NMkm)32|M+QU_*haH;$RG8+!&TD zfTALN902Co6$e)lzEBZfm(~dDBEGF7io6c+BMI8+JHhv0+4*mhfx%+Iv?ih7#ljy2 zBOi@_eYd6MNa8n3D)miL$VuYqOIlV>I@|-#y(MpmBy*T0ulpoNWGA!rC5LY%10hqG zsZ+Lr$^H38HHXBFi$=|h#I4`$vVv3UH0|2qQ)$#wyT2O^d?y$#Ozrxf+L@F}HJ3^) zk#W*m3qvbcG{SBQ~2W& zKK*(y{oFF+&@%mzHscx3ZvQ(TlolS$k|C@#9y}c$Vv!*-J|5~5?mIU_47V?@+#dIb zX`tW?h~zY!CqpbPL$V=UiXvPpI>Yx(Ur4Mx@aT+a5e%8!a9Ol)*_I4GK7ILsZ_CMp z%Zrc8pKKtAfGd22BWh(JzJ&9s2}g>@K*r6U`^ZKv8Ar(tN99Rh%?jtUG>+zwzBUhz zE@e{WB61Jt5zV#5cZ4vetI(>&^Y$rEt=O?{yZVskJHs7_dJ$SHx zhG=@zVf!Lr`yZ(VK4AqfVTFPal)|4J+>>o0o3LV%vErU=7>+Vl7PIi13UA>vFYpR+ zT?+feiYVR}b($5aXBDY-7EQ+&lI|6Sz!#G?Wu-k85)TzJS`{}J6)#d3zYi>G0+uKV zmnayP#L||K4;3ee6t4!9$U~IMl9iT-mdY5GN_m&&NEH+3m2Pg8eu5|yCo5a;D}@^> zsVpj~kth@EEECx*gM};?CMy>dEj6$JSu!TEIBGHrwJ*m zrK^|)R`6_Aa6wd#Se6k|SJoL;a(Gt?=2xtSRFvjb5)4<+A5}6BRqoSO@kmz^0IQNa zt5`Rym?5g6i>gqps<1#ZRr%D_qJh;}dDV=Y)$|ZG*Amru)HO)bH91z*ABL+l&1ydN z*MR4yX~}Be3)f;J)FPVIhG*5v1lGp%)lx##k(1TY9n}gI)qD)CQVao?u%t`J z$jItRgzEzg>xsSV3A5_?hU&2U>U|&@@W~o*g&Uyu>xZQ)GPNpR3hQKw8wjl`+Cv&J z%^Jj{8!^lp-8VgAy#guKA*6&5eFqJ}kh&%_dMp6^!-c#$(Nsv9K;{Ba1Vk?bULOt&w>K-V@}M|C^`5`7nDT?h}YKWP~9z_JzYMeBw;a(c5N zvOybd5b{~EA$&#K31TgbucR@4l?qJG3~@=BFfT_iMZNySCsuA-(f>adT_wH$86f`B7u9 zJ&@oI#?~V^KTpuY>D|3s2Dpj_qUnGC(is$R8%+Gs5Zf|{m_L|40%q1j@=JrcNO?Iw zhE$V>ie3iuR)(yGhAQZBB43=VZ3g^)3@5z|HHBfrVaB%jePxuBoSv z*foueAmxv}jIx@nS7x19KO@)duI{I#4?cZ&Dh6paVQ+Ygrya(Rz0Q$$2y zY>hkx#?}-b(_FSwU~Emh3dYt`bVM_Pyfb1%H4+{(3Wzh(uT@g3GiuK>imSD<{IlY^ zv+Ch98fmjKX~R0<6WXt{NU^BOGk z&d81RA@gck^PV0>RzwS5_!s;b=IuQe&>}&qD}{*`4{V67UJdl6Vnz^ zI~P*Z=FDFg1&Nlj8D>&+mk>4=3v4lqT9;0>7Ryej@`;vVCYNfEG3z{*A9`Q(%PR$G zfTE~AoOl3oCc>I7MpX*J{KT3*pOKUz{BHw=@#dROQ= zqZ0g!$A&hNp(5G_(i=4N7&^QnGVIv;Z{{{M7eGSC1_UF*&g%vq1Pq4f#)mLNsmx8J z^bO+lcR=DTFtA3d+n`3-KuO(>TbzbAGyQP7LsH}Zw{@ZzD< zJ2tX2_e|g3*&X&OPHZ|o#3$H;S54X+*7iN$_PvM?d;|{s^bP_%4}w7H2O(_-VQU8w zZwFDthtdB-*!s=nHUYKfAC|hQ?D&tRzBvA4shLl@&yf1;PDUq?Mk-GJWUw=l2GLF@ z?T}{Vk$RYsx=E3i{%T;ay&-OZ8`#Wee;U~KXHA)4SB=;(aaMnER&RiKrH5F{jCf~v z4o20L73UQI#Nvx{&>BK%2Lkk8z#2{g9KeS2C51yF`Gcy_L9m!0SWo*)j|niUzI30s z1lO-gGhoRxU|kijzS)CK^_6qQm9r2mqaZBURI`FeVA)Av?ZI(t5Rm5_$afC3y|}jN z09rHOSSj9EMFAxvffn{a*)Kr(FF;eYTN5FmF*DG}{?-r;Xi#yhKXI$S0RyJwy3BVv zig!8{Fc#%7T2U}Ik>CI}47dxfZUCdEc&{o1!&?ExQ*rOC4(0g|QSGM>2mp)fsE0qI zdg9^lqMG^fkEphPWQlrYL4!;kf26p0BqxP@Zx2bW_(Y`$Ng4G-2M%CILDF12fn(SV z6Oidy91+?tNs~p;!+y?Z{I@I2mH-V@(feWY;RA?bI=nE!j5oTynA?Q1OXmJDRr=QR- zKcOWrKmetJC^DZwBw~?RW+ifQWE_5-9!VpLkZ?lXA2)DQeUd~JQjqZI(*s~pZMhU1 z4Hnf5U{Q_9MopubWfRgxYc(UUoGbgvhjoKVmo1hrmlI#3_0d``MXxztu86~Sxx}%1 zsB~HVi*B>$GZ00Gt7@w!TvR4Pr_ph5C7m}=zHH^|;moRT{n+YS>-ic4fKcPYpvxbb zL?Tt=(x@+-NHBm<^U7o>4(oV2LE*a9{qAHI3Rx??#r5}Qr*Q&LE!$j4%12{t_eBt^ z=}`1)o2@J-ixD_{4MhwNUvIUCfsW!*amsZ^oeziN5a(~SXTL0V=@rk>pRJes$xi82K8>$^e#1&smh0cb#?ui)DTakNc83|WI3 zKXgeiRTwN~NeCF3&l*|&*cux*5DJ2SrLRey!Rc$EIB@#fAWrR1`dS^;44l5!wjCv% z*ZDYM0HyDtM!sN>py2~=oFY^Q|33aSYthWZYc7x^4+b)bvO4AgrFi|HM$Y!U|i~cuUTVs8O#E*Qi1e;J4^VXe^V7KiE171(7AzSQLfd z52}Y#f^t#}Q_W2eh&zd8C-K6m{APq%>`H=9M&k?atKSoHhHb z$+R37ctuMd;-p7q9Pi--F+gFyvZ zve+#46B?0uCPu__ z3oln7f-^J`K#J3d7G5A`%cT@D*O86gN+ZEmG#Ne=l|ytZi6n@CjvJ&(IYU*5C~Gwp zlg<8{Zjez%yGY~@wk8S#70Q0(Qc0dO0dTg`$~zT-4+m@V1zu?tN1fLG4O{jBLyZvE)8x}N> z^|(l~kbqOhB9vSG5j0hl@ixIUDvKD})V&Fp;%2%%R_e7)YGqR=p+bn;6Gy@lIax}U zV;aWOYj7V6mBJ%FSLe)KEPNDrVzKciBp@5-2o)`|{blEr3r>pWb#FkZ6C z?(l8Y<|-nk?K$rvh;wW^PUZW)&DwQ#zx+|-wcEuE@%_Ogzk3K%#-6CY;5_Wa9Wtip z6|cqXS-qmk$D1rr42?K!kP?*ROb&ucW)tB8BfK)&Z=8~OAn$>4;uSbv1D%NAV8x6> zEgQi8VyWna%aV^aYa}?LfyTXu^*g}EM4C?%<8uHCO;cFN=TobIk1d8M-!6-VF^nw+ ztom{a_ev~nbEY>I=D4+xt-rC$6W>473Wk*On6RagO~((^Cc#$NyYH-!TXMFjDGMfy zfOgh_JqrrhcCo)>>FEgar3ZB9;^Jed7Xc2L|&n;bJ5e>r$U2f2UfI zn0A?|$vdlAZ02}nbls#U=8mc7`-<=_ZMt}kxBC6~*(}D7F{%uK@&0l3#~6=l$8}h^ zkX3!Mug#CfG@w+NHGuj}Hq6Wc1aGoXRGzgirSm-Wrm1j9!HgbZ&phn?N0Fat%>Ize z=bbJ^6?m*80jLBQiterkIdrZ;MAppcQf92wc_YD2h0JP9HoYi+;?{k2#sY+MEZE^a zW@;4E$}Q?E6%AI-BTI88C$$1T$WcB$4rI;KpNT=Wzl5+)qTVOfw~{S>Nr6s%4|=zw z(fteEA>Sl*n|@jPo#~xp^++lM?|tJ$$XG%L`)bsH&E72SwR5Et_2~-zveh0+O7pTA z=PAgR0v`n~>V zYI*^HLAoQ%4%2&EvU8wRIh7M2UHY$JAGu<;}_{unK0iPOt=e}npxm*08 z#%~H!Ul)YJKa?VOCj0T;=%d>^-p7#Ir~)Rf z6k6@-!Xyn|U8iQf>q7nRti}%&hSkl`-OVu1A+0JLaMpDNK6Qooe8t&yJ))hMs+}LS zTF@x)!6DvRI8Kh_7Od))dN-EF5SFIw%4Q$V)~U+Lk*0=~gu`4|5suphu`ML|T_d`BH=Sec57)OJloB zkER(Croju5#3Gl~$sfv6L>Wc2%hE;J!JXkOil$rMCS3=?-vsdw);v$XG#2noh0irb z7`4|&?WND{(aN{tqg*BL*5&QQI>1UrC(A|G%}@Wefj*RLJ%x)2N|c#`frYn}RkqYbx-C+> zdQr2RGlhY>njvnOfp423@tGlMS>WK2Ed`?{RfRF#y6g(02XtUnbI97GZQ1^~2#_)E zk##D_uWm26W-t0sUi@4DGu5PW+$8tX6dS@6e?GV&gy>h)JnlE~@siY2-UD<%eSA+Yu0AV@#DPOJieKgclR99=LI5 z_nsO!mhOr06MV7kiCU@og;`!mQLf0wq^u&PqRj-bDF>-RHLHh8X+Vi5v-85V3@U%^ z@bMN(|IrM9l7_?>3K{IsU>`!s?ahVmY#$a!|1m_DJ#>MopkE{X?wZ3mwsTIX65r&5 z8MF)$<}hBU1j$PaVYLKVO?};pgojMm>~%eL$*@CMYd>p4i`b`SZLani{*IkihS2`5 z)K8nDBkrpQ1zA1_=kaTB?Wn22PeoL=I&GUj%|MM=vSlLfGYQ2zbIu z%4Wry=58bxpa;*h<)ql9R>THNw&lvM<;vZeHtB_ua?Ah5mG{KN)1!qNoDvaY<%zT9 zHQ4KNMTTIjd(oiz5U$583C3Bdrfoiq6UUh<1^O%7CNsO_=?Cbp4S0{ew%x%g<;oEBrwivaUB>Avyh&W(3AeB>8UyCT>K7DcdvLl|*8da&nZ!b_NJ`%U*wtKKb@MSC76F zi>=Bs#S=x69Zo$`;9k1%1Dg1T$^x2k7)dlcnn73FQa4^m`(Vnuy>1V&XQ zRfrhJcSJ8j2PTn7aQFo^)Y|bpGVn`h=UdeBQ$}^Eq+W7*R(9G~Zv<7J<>ZmTv7%-u zRdppX-c(gy3vt~2Fy(_1_0KJH&BN*pqhofu(mFQMh!ib)^z#*1+UeZ$Mym4z)}I}< zC0uR$MwUCd)5dxDWu7rx`9>u?#rc2U_E90t%wtS6vum{0i1_!GNbHJ8hHFU0O@vT& zBlIrF>I(eaSr~Xx9m;J(Yi;9^9pGi3R5@)MKk2@B?hgJsn-Eu)7&n{rd-g=DDKfQP z$3qOTw5WHwNYW~1I4cH0ucaV11ybZ|hLPn3$E|gb2jO$))LS}=W;=>!n@dicOR+jT zuC*`-myc@oQfZgJ!f?9CNf4MU-^Z%BF$`O#E>CP1{}>(b7+SVd6=_7$5GGoHNNc4P zo9Wb@@we><63K3aDuxhshYx>Z-~QBZBjDvH;O*Bvgrxb7NRu~}dt7`m5J~P5N-P1n zXUh(rb{TMWm-k+$V46p-1|rtot(7#k-}MXWA{f#V)5neWu6hTwI4d>`WnJSz^@0 zum3Wm(z0rFcRSvAv&>AbxWqdlCO5%mx6tjc@s_s0QKs52E--NViDzv>zI8hiM(H@G zd*the|I0Ri?1q}DrUI?pH2)5gK#w@M5Yndk$&W{>O->p(7bms}P~EKHRhO4vT9=bI zAFX|_CQbk>I;c?xsn*GtnC_C?O`Q=M9hL5e?^$#-?0y-RK3kPOKQ+Bbo2SLzdt%qG zo%uYyJT9=ReSfOW9MEN+w@#x7de%MyOIv&vJ2rFF zzpV>uj|0<}TBz%Y;(JY|#~63V%8+fssZVa|^tuJKOHIbVF&y>Z3axR>@d{XS`~ zwRwB_-1fQ!aNc|TI00s}X>Y?;)Tgj<3)6Y32>#o%@y0o2#tRY#inSvn;`^f>8_x2x zg?f_+ZAa5#N@B!kvmWgzW9AF1=DTI9=)kE=Td7sk<3stmde6-Ub&Isz%>a(IW)$fU zv&Y%F7H!oBSHSs0f9YFw$4b+4Dv1vqYRhF|=Un`U26+m+RA%w=`aiVw8=x1GfEUTw z7oxp~AV}2HG?bA*23t6oBVfITU7O+;>J9s|1%&Z!#4lFMdpZSs_7iH0sP9+T`;NY2 zpSj8N%!@fZx|{3}A4k($?|ELzL|l4vOx5Mt5!~ z2YvoLt?_MM)7*xx-Z{4I>ZDqXlKS0gp<7fNc+w~dZ zBd&})Ige9t+!|5e0O{M&^4|5z*@Ym^w{_}!VbrrQ)g94#HJAB)BL92ra+8{|9yccS zHCw~=T02ivQ+blz0)}0Za$b5YN8fVsFLJIO>du-j4>hn7LF2pczZgZAJ!mBueMrzA zY}OGVX*qjU8WSU(=sXpE3Vw%+@oLw7!s>uk)MHT!~1@ZrwiP z{@VWBRs{R&J0`KDU8^ni`*L{)NzZTTRGazV&I(Ah+{?e>f7_I8Kl7Y_YI3n?ES>_D z_p7U|&H27RZ^t&G)OW6Z|E6!^-sAGD8*ttbY4jAK{ak1CqBrcZ`X%wqXf!~74BL2I z;L%e4j{Wm?kE!v@+MdPxBZ$2312uO;x>mO3FJCz{M_|9L5t|gB{lI;FnL+lz_$)T{ z*$oR8js)^28Z;y&oCujn020|&h2%R5^hiZMpBB#3U~rx>aXan~fs#J_ zI3sN837-C~vhTXe^DUaH-5qv=b#Ek@)9LKwk?mk2`%?_#KjPLXr3(6O3*eM>_2=_D z+wWIfmjSSmMD`nF0jOW*!tkz4hhu4F_Es7z4|;--38+upDhxX6Ku2%IIIemvF2Ck~ zfB4L(bM&RM-SpU_RI7S#Jb~&1wx>pg`sMz55!MHYwyTg2Fz6x!q`q)f2BhGS^#;ki zw@p}okDE@|0Cx*;$eL*H(va9S$hDuyB~b%5#Cf7}ix3>LHX>x{gMbZZZ*#~Y;BJ}( zM%q+V0;8?Lh@l3g-fOy7XWWYE>KL}vFzQvxpx$yGB_55ppb!ZT7WDVH2VW^&AP$@05L$? zjr6PS0um{%&)yP=%%bQJE-i$#3#_%7t-xB_zUXgSyYz2boB0^3cIhvzU2zQ7+7}c!A?3yhV}7^@tYwixn3%TSFwf3P(y)t|1l zI6K%`ll_{M2yg{EYl^t9%F0GfGk(RjMjkLRhn^YPxY) zpLIR3<}^$-oz%4!OJ?Ud?0Y|c2I;P?#Leq%-rUY}c_XVQatG4ZX&6U}b0qP`)!wm9 z2qW^dPl^+Gu$z_l#*f?7ZpJU$wZ38#^7deT({UXBc(21ciN~hvJP#kU>eAtQuj{%U z_f603xb{As;d1ixy2s<`{5l;7W?;w*rpeL32N7Xv!`Dla%g`UktidqQ%?o!ch$=mC zE97gcN9#q*&oN`h%CO}{doYr!;t&6QFwPS(M*~I_c=w{DIg0=$- z6qZE8>_Q7fgCIv|5fP{Nc^7WqLqQ52sFchOipdnCqIUofRFY#z&h${jOv6*VZee8F zh|q`~`Y93KG5-~}#)DBSF$yWMpfc8jK>XOVRT-Hj&S2w!sIxN_9$SdSr|k>@vU!xkQ9PuMe_mYxnYGRMKG^? z{h50LksSs^NkQoEh$T(Pd2=Pj=^fvNne;S{ZAyOPv+|AfstF)_Hz+Boj2@G!3Z#(= zmNu$DkMF3UVw^;g)djzYjrdW65%@RzXcepjllOdwLJB{MyfXk)G*FmB;0q|s96}gc zDWxIh#G&*%J{UTsUqh+|%2>rZFdsB0Lp&O$u*!eH&>PNzEHC_5gpD@ky2N1P=vK7La_$=6 zA!kRhqkS%WDlJC7v^vL`Lq+WFj-qPg@Gh%F^9|vFC!XvS{NUFD(Y@%{!I61>HkYYX z-H*2Ksli*7DQ(SNoW7j$TWM@*1IGDRYlnOXqfTzOHEaCU^{r=@7(d~6G)UJoF}i^|}tLVd9PaKx2|gx$Y0>yuL&$|~Si zVAWmZaf{<3+YT@j0o9BIN)pk6gH(T0R~nmI77e6pRMBLYFsj%t4%cv1Gp->K8O-3} zb%Lzs-o-TZQ0r|&(qwJHq~coA>N$k!mKaG_aP^71gX7jV?1b|g{UY0yk-@+nQjEp{ z2?173hKoolZNOlO5^GG_%MKMNXHZ!l`A^(>)?{%=n?o+4JuI0yv~k2tfGv73%xnT2 zx6ZJvPT_{y=lTMUTla;fo&QMUI|gIxHz&&nS#x33$7yYF+*&l;0$fWUN;bRAP?9^+oPO%5a=9vX zKt5JJPo6Ie_*yo-a;$~XyugD}_v=^Mi6PF@e1}Xx6`Mk6z@GY}D{P4?j;|hn%ee>+7<@fQF)q^(9wqW2nHaKp51FUVmUHM`I zBG}Lx52%#;yw!TL*B2 z;KAE%n?;dg>jfZ{ZO74Sa_NEkfXZE_3x<>^S**lKAFTSg%(jt@0`Q5u$=-a0&=&rr z!5T92nswX&N`W9eE~`FZi2k3lwO$|eQ&&9Ej%ie`lspBYULT|NDz zvLcbR;BRKfl#ql19H(B`d~dWR0KG+8XKL1AtiVe3DS*n%i^|NvV3fgty)RM0MdJP5 zmML?d85gx$z$&l_v@O+VochZ^SR&WVAXAqI+_&!5hxF1!$u)-rSlTT@Yi*$4LA_=D zHWSLx0Ef$;HuwfIka%`XC#Z~gG)+Rx%vz{*-$eEFfC7xB7P1=xs>Y6t`5%?d%-o3J zl_||ecG8fu!CftA1T(Xmj2Z4Eq^)%;BMDbK;CH(ueD!P{)()WOzEt0i>07rk&mv6C zdi1R?6>~Pe-mWQO2NHIkSxLTG%|0Z(CY_lC%Zsnll7@*L5XzO@jQ&87oyLsM!cT91 z%Je->$WA8FItTfI>zn9zVmv4V60_WV`7$#1>;iYjBp1jIU&u}NC37=_y#y&?LB78# z*O*2uK+wSh)M{W$3ELCziDsevLKR{4nWx9I|k*9U~RmW zpX*4J1lb`rw+4yb9hY4sVMQmcw}|d?96d>_XmzZprz!c?t-6#a^F$7nye(+IM~VR2 zk(1w*N3b$7`(OsQt0H1yM*3Ts+N#`0f-H{)Ahc_GajYs(JoYiC+Ndur9S@QZN|>15 z=`BYv+c>Gz(mC6h+Y@}Y9DtAVo2Sp9IV1^xuc!vyh+l#(TYAy&E{9L~WDs({89OPv zh)f_cw_nSO81jABna*I{CP7&eTG?jOo*}vP7I_(7UspCc_}^VK0}|p4IOS|AJqZ|- zEo!?(_9JT&I!fAP@+;k9fwvFS$Ze7*H8JQsmir0gdkgHn`J z0bIjb@}yhgZpgB%0|~>eq7AaMOuUGa2>-K#5Jq;3^*Ir!4ahUx_$;g{yH&=tjf!{Q2Wq*~=Ky>spBZRg0sO)Y`>g`@Co^1N1zaREd_o0$ z1~Wo_1wuJ9VtoZ-J2O&$1=2Y9fwTg7of&1n0_B_;^}YfX#Eb@8iH2(bufWzUB=?mh zAQn>CDpFKdGMp+h5?1o}Rpd;px&Io3{rBSa*~ouUye@y@EP3W?y!%*x|FPx)yfMVl zdClH-!`^bs-hIhFaL(R$!9Kh%_g^~fe?EHs?-BNDf8bnI$-j?Y|C0!t%Ip9<{VPl!9>|6PRr>0f}b|C9PPKS#KbkPtsV|34|PtMDPpasPp^ zG5^0HY+71cCUWWjYY{g0-w^hg9&wZ-l774ALxdD}#YB?%j})ilHRP)6{q^(=+6(Jv z61#vH0X7=fCw;4gey^Vb61;|&+bz}B>t_@9?H;`${GjXmM%>F~V#?xzBHS4t;76K0hfxSuUC6iwj>rI{F(_>+ zTJ%^i%5j^of&WJIHlPslE>^fe51cI~I@W*)F zzlYq>>e^4MGo9OYLv}o%;*PG_+DIp^1z!m1^9yfXPH#0b7`+$-o!|CkoZ;y0Z&`SK znm1-;NYG$XkC6Eke|2{@r^xQW!>BR2K}vRtle^nq!>4B<~SM1Vrf zD2(cSGlCW~T{{#?5L|Sr&yA$|I9gD(ol0;ES%>bFlSBp$CrkTlx5MWctO0<%$OdkS z0&HW)wCAqC35}m)Wi=rH6cWSoP6P!|A)1vKZ-#b@7V-JcFusvbrH6EEJS6Bkvqeg|>jszz5@`sQkjv&lxPaR2YzAfSnV^L>o#XUruW8 z%wiIC$AQ_ZAf`jSp}>CjJT%m7FGPzn&us9GqqWG8Z=y1(6#;&w20WEi?657M!3&ed zm5YMo8X#G1DqQgq6nsp(q1BSS?;j8!Rb0vf0S7&Iko}!%ndMVZw6$7>!MApMOsTxOZCkcbT25KsH&umnp-Q8h3z)AFyoWm$WEi%yjT&%i z%@ZoKgu3ypji6i<wNWtQl99hm;oTqPt;X~;aiOg!MDO zOXn;hdVZfdz8U((XLnI1@Dm4i|^Y#t&23*dJl!Mvq`QNoTV?ZHmo33=liCrmOO5 z!F{$PZ9$&-W)v4`rBmxBgy)41$hW0Z;U{MEaSJ(THP!hH($F)2>BxBY+WNF9XpId> z6^)Pe{R~62QO_$|?3_*Wuj0d2r)|D*C%6T-;O=h0 zEkJO0*Mtz<-QC^Y-QC^Y9Rfju_cr;>{P&%DXLf6*YUR8S`k+s`p6}sxS+6-L&B}~37AggWfEA8T2 zQtizu4kvo-yF~1#O~S+J5&(tuZnd?S19Xag8GOL_xB^cAf%aelUygm_qmAOL{cW2A zxuBsej(tn?y+Br5%_X4r8#+7+lIKH^*RemyY8!C{zFTdkASLra`b5AIa68aeGJu29 zKlCrwj*AXbEB4_4gYtd|3Ibtm#bBdkcy#p;BAifK*bv*|P`1S2V%Q)M)J}Er>t00j zcnFyxeh*#e5Bn9mV4JIlRB{<9c8AJPg@JOf#jwbu!I%k(VH}bO%8C(-E)mPg5&smg z7pS1JsGv4M2wOdJxfs67#pgo*-x0QXWao5v0!q}qOVmSh)YISM^|LzMaIt^qb`+#W zH1yAC*p%pNNrZ`qa5Yq@+2Rk=`avu)VLrj={>hQC#@OTPAxqt1^o4*ZoM=IFBbaI5 z{$Wg50Maa#5BpAtr+PRW7}Uuz@*oFxJdi60`OzN?H=L6)DAWZ>Tpbg8+xzD-53fNC zF$il%#{^KteVYLgCI`wT8wn4GDkmFBas@5fhk&d$-A_O0Vf0Mc1d!E^-$v$3MmCkg z#*B_5QcvJ`}0#tLqxplYVjU?x;i=FyML!^iZi6{E`& zqdzUUk14p%Ek>^?_ID+ozgIF(LNcL8GayO8WBn3lF;CiNgGk%;eL9;p~f?!#dE-1_55I&g$LA)`tH6V!jED1;$50I(N8=P*3*Jy? z6qDvkV11{Q%hOyOLzLq_>0Qc4$D+Y%2kBR zFR;pZOv`ga%DH&*8eGdbq|3xl%jak+ZVJnVVan$NE57tpDC|^}msIdbSJc8+{DH2N z_o6PYZ!r%id^B^J)zSO|ubgE8A(!5_~JeVT<-?EB#@sn~zrJ2nGPfU4o=|)y7iTzK_yD&1EMk*}f>#9$($Y z5SR!$Pz`@Dj0d80?0)QU9I=hJ?>JsdWP*<8NikAn>byFOJ1zvQd3P>ZA+5FI(0RSq^849*9?(}yRX{f)|@+GtUHj#4bRJh(OwL306lxO zUHjranBz!y#nF`Ry;SMFG}@5~)8P;;y-fIhEPQ=Wk_d!!ogevZq?mg9X_FZn0TapH zY>i!E{QQ*-*5wB}g5bz#}dn9J!{?|5Oq_Bh3l@nP$t z(f08^{PD?k#|iuiTd=X85)(8$6U%fH)9n+ns}q~DSc~l_d+rVg=_p5h4kznBcG`zm z*C)5y$F8i$xA~@WpC<3eOCHjvGFzu!&N0udQNSWR-d?7PHK(92N})2Q;UlII`O6Vr zr%^7Z(fBbTk1IU-U1QO)5ohmC-dl5CI-~CQ`n;ykJb-v1@MELm z#Ds#!LYMT6=Ea=$#)9zcg1+3mA^)Pp#Jp(-nv&c?@pHLF#gxhGB5Tc}V?>F$&Jv~Y zlFP=FL&uVu+mdHTlQ+S#1?RFqK}(>=a$MSSXh%!<#&X8dDSxVHw1R-pK zjiq$@<;>TW01(2CSkBj34f9wnzE}n!?3j(!O1TvfxlYnqsgFQO^H`HITWi%p0SRmt z{Mj2-PtF&)D&_~kX7n!!5*Nvov z{wi&KxF0WD%sz<_ggcO(Mhe;6Se4r=XWLA|aA=!5j^&1m_B*6+ka(A9a6(7~3_AtU zT{O;sMB-g+2KXnPT>>yD>dhS+L?ax)9_iZ-TPG^M=N{_i9wpW;pY0C$+a5LQzKAUn zg>0W9;Q^?49cRBUS-DRg11Tr4ZH{k*q<;X<(626!2BQcs*V)f-zbj!2M<;NImvg`= zkHmd>klVdiKzwK`kJh`kQ^a({5(t(_yqoKN^iv)!NMpzwxNh_&0hg!`r*PF3@ZUw) z|JTK9f$txZKMemn(Vo0Ke<#{Ze{B}Az#BP*dT};2arV;KZ5!$N}o+=SqqY+xX5ddBY;9dxgidPMa2zAj{aEu7G zC#8gG%Ia%BCRkr$SRa(%-T+uH#owOxzdfg6Xr@3u8-}3@ zhN%kXCy?pJMe)YP9)`;f##s@DPXR_i0mcdC){z*-LGjk!{?`5qTKX5X?KHIf6tvfpE6=)Sc;XWwtV7q11Xfgqp#_5l(AMm{X`_mVL7{gMzVijU7% zjFdzqfDW(M{CHYiEEvs01w(0uG&Wq8#WH?2CQpK%q{ANrRJ@j9XEqp(mztZDOXGSy zpC5@UQur+F1D~KWuk-?TCmjr;(1p5E9c)eOD z;PI%v)n+!O3*=v|KNty1`bY@c%y8p`AZ*8F-5pD$R!)>{aWt9;LH)=fyL_wPae9~+%?eJohQKfsT*01P|>iSBn`l{FANYO0}jVcx` zgbWE8Er@lSCoK5n9sNPzK3nkv!rd^LC?7}v9`c8a>O5rB6XKXiZuxl8NG?_Xyw6;l z-ZMy?tJyI~A6L}LB-rOA^CZ|j#r6i~iX#KhBJ z&?wo{03dj>0W=;~09YUnVFHN~u2^=w5*h=60VIYZSB^5eEEUN-rmCWF0EWDY4-~ex z`G2o?tw~Xs;T%Gd+}#LglV+d01}a`J!Z>(5iBX)- zQb1EyE%KSRvhbRQu4b48fxcncG3;aW{_jABwkvoE#?HZO1g4&Gl5?hiir4Egvg}!2 z|0-V78cj5~>&I1q5cc2V^)f00*KRU1a?3%o6Ee?9aUC-6Mf2GJ@0BxZ6yJ@#lmh?# zx}P1^<8jzP=gaNhlpp|#d|K!qfBhUC-OJC=uL$zj?GR$9XH@_A>(4k_(J_M@w*UBR zM@iBMF-MTU_E(aosTfz1Vd#K#LSP;l?;ZcgUmvXd$n)BCD=P>fJ-m0W*)hI+#{G_= zBt_eRp)ALJhoSOCiXHRoSB>xNi)v;S?7mt~3HoY!UP#W%hEcD?8m4I;9IHsh75A&w zO&5!B_I(6R>qL_Tk|^+w(f%j~BuLEQVx%lFq1xnRAGyUO1Y%)h!t=>LNlB5Z&c*^I zy2&Xa%0?(`W8*T+b3Y00h$#jt#Vg=bQ0M4ND`%o5l&C-%;jT%mb?(;G#6x{FlM3Tl z{wuE;zPHHe-p?j=L7FlJ)MyxDgzHt-9Pc|QBVDxts~T`|77c!rr>eu)bx5Agb9R; zriE6?hJYd!MtJh`BgDvo`+6*bI|>m58i{Vb7JJtsh+)*J3!N(ql z8bgy)jC_-Gjm61jqhL}$k*-)%!fwAUV2UV_HEZ2ST~!I-yarbO_};1v%3K!-LWKhS zXyO6L3B{jhvcE)y`s7nWb;!gJE2o{#!wF!PqJ@{L6iEx0sxFjbx%_gguf?qVHc)m0 zCZkS3l~@y9Q2vKo#`7jGtD$-i&g%Xk0-SZSFz%(o@cZ3;#hLr7n=aW%>N zg(^f_CVfU+b#f7|UcVG318Qv?1f7TK0x@et_WV&K_CnF9uX#Zv2)igU&b4HfvLTFN zDd-l^1AUUrW~%2a*zXA2d7(@YVQ+TuxZX9H+0xS3=wr?OU> zzLyfYynPIA7CbBf*6;mnrf2QZ<0gZ)&Qt9hnE55VR!8MI#eit9tJC-3zRr zyDGZeQzxJqouuZuup_>z9|{*2b#9w}l@E}b0=`e9*{5V!&+ALm51-50whE};7~m^^ z+p>8>XeWWKC3OE_w%5Jmq3)zAu0lx7F94incMGXAp^+j6&={*D5I~CtPedDHp<5!O zYpXy*I2c=Ll%gsJiY2y$hp@QiPD~ptARA$ZQGklq1N^o#=`Q6a{&-By9|`#6fgI81WKBbgd5|dc@OqgSER># z9i3`#)9D@HG-nbolZs_nEmuHecDsRIPG(1|hRRdT6uO*I*pm(nQ|S{jM>osV z{4T0dnfK$m0!>2-UZe2Yv5B??Ge4&NEmL#GS1XIiEV~qge$2n1C;j9OJ&meN?WklZ z=^&*#dt6-A!|P}F{6XLQ`n1~Bvq@d!W@(+Ri%1K5iSt2taXVjR*?2b7zJVTp0a5wR zRJnY2Qb^WzkaP2zoa4vbw8tQu{KbIn{A$~gy3xm;aX{pQTVZ=}gG zW&fFUv~9zB*qZUv&PL!k9ozNjQmlRoo8a3a+G~ph(U#EEk++N%=iKtat*D^fU1%tF z-YYA+t1^<3Y8b}(FZPlLX=;Ssq$iQK=h=po=_=j261_2Mz#cVjEDpG6BZP8eyH<6F zQzMLDBdiq-d|e|#Ut`HEhpkNehv&v28ScZZ=ubE-4d@`qiX^o3z zk0MG7jZL(ZUAdD(nKCXe1IQ)A&7;MA(#M)qCLj>kV)s;+iq4jfQ2C3tQcRQ~TdOk1 ztzJE({x+}v&Z?`>Pq6rm%_5~Wq_nGyjPd0;tKx?04!#5`6#I`aC=AV>z|y8ADwM3r zo4Q+-2F{Uz#{rht297|3u#SWHf<@UnkGT!t_3Y2CB_EW8bjwQKdP{(4jR4w4I6e-Dwl)NnY7MbcGqT*SI3`QCQmZ%` zq%s<0-X75DUs?ZXc|W3YdV5`MyJ>h$V=gm6y0~lIpxYU9#}l*7Ij5}(Ke=qJy?aN$ zYptV7Gj$n%P+9NDYzKWC9esQA1h@e6GaVB?{T^?{J}+gg6RWAFXnY#$dPpZP+3;3M zpWiKOz->hu1Ve_KWF{-aXBh@@bRG#O21(Jba21~Wz2URp!{?zq68Tt)Vg0e>?9zNy z@#}(BR#LIxLcki)5(RRh#M%*UvVnACUg-T16@MX6a5>BIbK4kvo-qf~HzqCP(GM8y zI{3mReC=gQdW6NQ+ZG1yRN)o|)W6tXxp@YkgCYUBMV~LgkV-q7zrlViDRrvdYCv;ewZFBc)^`*E9{%d<`<%BeK?2 zNr>Ia_(D&mBM|K)FS8@c--NQlc~vn+TV)#6`K0q|Cp*u&&-*{4;PdH{3+q8DV9-sm zuq!+AP62UlrA>_$K4OfShbs`4i$96USd(`UTgkkh4|e;G`Dlp%D26_! zAHUIZUGQ1Hv=fvmKVyjSfv#;l#_Ymne2qkwMY*W@WxmyS42vi_m(z9acZ|c!GMs}( z5Icc0Au8^C1k#u-tnG?k^V4z%)AA90AD|X^@W1dG4_`VBD_@9Sf0P6570i+M&&#%| zoA4~H*J}>UXa)3ZAADJ_7faahszP7fB3~p!8rW6g-DmsUbSBlTHIVH;316?8JKJWx zFk7&{*zG2b8ZO7#mxTD1k6rcfLzLw*!W4=k{Oap&pM1a z%$YxKg|;$EvBIk@IcY5^3Lz($E;&orCG3wGp1v|$@TJIaLfoG!gFx!J4V1fgG(TV$u=(q}@v8nEVb68z z;?C>tm@Bvtj5Q|AxgzmjPl&&a&vn(Vy{YuJo9KamE0z(%5 zUG>C+Ny%My9R*6~xyyrgg4=f2=brj9fYud)a(5e z+jA{9?Wd=QpHLsvp$EK43}@^i-_1jG8lisOMx$St_^KhOJM%R|Ke=LihF=WPSy1dv z@^j_NF;NnVsZOp zfmwBZDl!X!26`OQoukZX>?HK?kVj{5E@e3z{fc z8lXMDrCjS1*Q&-i`Lljd>%K-EdH#$6T5VD@f>syWSYtf2PEFi`?6CMeVF9yoB5`3M z)p6)iKc8cIk$Y*%6M2y&s?SGgR7aDg%*JI=p?9$^Xk^9}cAuSQ{v`r$HCc7OR?f3I=^GiVz(}TFZI_@-xfc8 z*Oae1+wC}0;y`MvM< z>%Yc9?m1|yi(s!C=>l5LSwhEow@%&6ZV%e5Q#Qj{KEQ^z=&E4SiGS0{DR5XNLO%)W zk1*B`kxzeI3KxDR%6&dsk(e~oqc?Dou-Z=lvu?8^=ecvb_y@P}4A0cOy=|7bOSAJ* zwW|_j=GVeaAL@prgSt$p^v*Tx&Z!!IyA3$ff*uYS4|N4i-xjTbSob1#)?l1BMx2km z6I*>>?GqJjIGyc>A|9hM9!Dx3S0?vX8O(||uWW%%S=jr|gx^4quV{>}=n_9xWuH)N ze-wUDlC0YBVo-Ihy2U%%muFi=by0JaAn`ZTF&tBKQs=ktmF;@ypnMdZ*qgX-ZQ6I15KlkO%`>53f?3pPLwpcMy+3t*oT*g+Ji*^sB{ep+kXq1)h5KVz~ir8hu)0{o11K z-eIE_r=4S$2LucQzOKXW;5CIrr8c*d?-VdY)NI+l_1h^{mDbVa_1=$P0L4n{$Nv;z zXWpHR9X)OGyWOA86w)i`wy$4p*PLy%;a+V|B%|sz%BIwUb}v6#$%ijj8}t^!AV8l# zRh@UaIvfpHVY}$GIv(_zykR|QH7+idvY)-WY1A6d1VLG0dcIU>)|`TNFKNM$S%Qgu zAsvZ{yn&SO@?O%OP!DVInluw*O;ngAIB*8+8D>coB06ytLF|> zqPlYp1rS@uu?8wx(>w+$MP1(kD%D)m;4`L;lJEes!(fRYGRN}IJ|y;eeLxn}g9ZT1 z2bswm5CDzRjmSD(O@+wRe^rbaGfE6z5FcxQ0!x2z1Tc zA_x@%S2X1xgaE>j4f0GrkS$6=J`f%EqhK%uuxDU3gzolqu*AmI=e2m|)gXjT!+cQ> z%2q=*%9*eEqi@__T{H;04G5ah9=2J5k(dzM@7TXP>~eJbJ$0fB#o&bmZB=@ zkCkDX5Q~%JI_ZxCb*?|hf03jfh*!=NqDY|rsu6%mqv^mNp=J>BIZ?yBWFS#%y_+Hl z$oXw0K#j}wnmtm_8_pEjAc&+8$0$ux?v?S&9?nQ=XktBKpd(r5ki?;Od7_}`w$q;*62VM$@BY|ELs%Jf;?7+<%B$5 zNy)+_QPc5+B3Ua~$`s4Au;g#p`Uv^kss%)*>u-zhEN^(};+$Zb(c-*lY0Z*?WXsW# zqU=!V(vsrR(bBS-P9CcY)b-Rd$hM~^tLi>1w{w^gmbLS`8CxM6V8fDWn@y9v_s7fT zgE#w2Az#I4KXQLq1dCu)VzihLm3>m&m0=Q|-!Wpr#^e;-Qqp)ev59=(l+3v5atscj zwzU{K|0CQdUzYe>_gyL}&+JRSPojN)MkEPt3-j* zoF>A*&4&HER;ftHHJ|e#z+8-iX9i!XK9{Tc_%kyw^-F|pd>;FGv4jOcDOya8oRyeb zs?cgSt{j3L`ZE)s3EC766E+?&|;yi6sbySts{M__MxFgp2i~DH$k)wT;~;; zxfrnI60$;Ot)l>A22cmv?eLG5sZ$N@l?kHaX!)vIpZYey(t=tkZYiRDXb-L zv<_ji+8wvV`kemdi&^x@shTK|ZWn~G!w`}oL$MWi^D?*wXib?zKjrLVqgM>D6gtdU z^BLj8$PMukrbc$v`j=;_Ls`LZqqn{Hk zuTHujGLCttxMvv&jU^Z}PM9}qveF3eibOR}JsMqS{~sz||JMjR6;jra@U=UL5vThQ zQmhBN^4Aa_Wei|katHTid5D>z+Z5`2kLYGt_LmotJ1b*0TIJRdAB{r_)k7xHWUy}v zqavdFgCEgUbgv0AamW$&-mze3H+iH_6uA}UV>h;dDT95uhYQgQpLo~Pid_nXcK73p zi^sW1;LFU`pAy1Vl5W;_fh`Jt>35!zfqj-3YZiBDry=}4C6`+ zs|t<$=EsWR2PI7uNs<$tW70jFB z4FXntn{QnGU0~zjz6;3y7`L1yw| zB!q0t;;Tcg3yn8QmPsKLTcQp=y$x}hgAuFoF0gU3Otkj}jmgPvjS~sT1jQ z#!Eff1R^;?r>TO7Mr@aTCW_>0z950^C-1q>YipvmYmoGLj};`aReTvGdn2hqUxwTS zBa2jZ1#H^jljg3#ive+Efl2e8JWYYPr-_M+iHZ95IK?(=Cys*UAmt{h3DqG8VXJuR zK-U^cbprR&Lbinj_D$4@by!xw_(b)<0UFTcX5ilDrW%k+`e^rluPFy6Tx9B++mOGv z`MQY^S;$R>3k+CRjC>1C>I=2s`gD{6`6&y`#I^-w_Z%ocu}dGCIA*{~8=LeSXF%l& zcI!cc7n+n4%`@X7uIgE;4*oC&$iQ~3RDV=b39%&IW!U5vy8=sC@11YGc$baGbc0k$`Gdc2_gX#C=nx-izJbpzyqTu(%ti|eu-~dBY4dVMg6XFyE!Xxul zlcb!Tf?P9#QfimOl~njo28qV@si%dtrsF46Q6wONE#x=p_YM5aaP?EZWkxc%kl3Uy zIF@KaDvh{dsg$Y)nypprNT!0Jm7?m3#G9zfETzovT=3XEL6EivHyTz*1W<&O7cf~kAS1t;H9 z_qd#K`8A>OpecAdw_AO2@iuAd;dl82N^?Xs{4dG)q^(DuOxuugb8|@qqREGpP6?h0 zdk)u!D-Avt;-VB9q-^exh!~QB7KK_#Ne6c$b+-wzh+w5jDU`&av<)duHQ08~2ubs) zVso#*(hA&{&EnC|fp^nMA2N?xcl8nrXw#df+tAydPf`+q(-1@K=1lmmq=5wXZN=6l z4tnM`zi-L_xX?BaNlFMvVEeI7ZMZpV6 zjs5@4jNV^ib9KjkSIIb?You1B0uN;?j?mulOM*>+xD05}ff1rQNly1=PLY&93?% zN7@G{(kn}wj!3)5Lxz{Zs{ij0w$1;02s`h8B(N_|j*oV>xBtmtPn@$&pR&!Ku+JZ{ zuk3Ry9k8$Ma_q1CTM2u2eB^wF=W>eY*96b?7|+fI=iVCE;WGEh0{7Y6f2W6ir0~Bu zY>AXN5!W}Z?{7K|Z+bRwh8C};Ca)GREh^8AoG-N;ua)etJa+>;_kBEndUzf?xSv|NH-`cj>MH+tg#Go&S?S63e~)3a-^8>0 zPG-2yp!t>a=`x?gLqW|L( zwz%$$fq}titqC#JAu*Lcu`gYs@~t8=4bt+l3JMCM;*r9lMM6Tkf&%G+yh;BO*nDi? z+1S{Y3041r3W}6!WArq#H^X%GB#DH%1%Ema6poLJ4FV z%U9~m=Sp?P8Y|YC?Ds}9WSS~B+FWi(P?$Zn``!lqRC`3 zWm{?w#*$gBoJY5_j;7x3xzqk;uqX8m9|9O}>!@LH-k#c98ZXv}dA&9-xKqKqCi(WP z)K6Ibe2ahu&Ke^`b_Z}+llS3mt#@ZA-+^mC&X-w_GNZtN*z)TxJ$f6oE%Coovg&?j zc}W#TbaZ+=uO>n0+hy8adG#@?q?-+`+=iRI=>xjKfUkM_B6F`!TmBfUiA2IMu9N{n z*Yw?~f~Rog1MgLA1-1k+iRs{qJHIK`L_Sz=@C30w1@oI1kyIgwH)Ub~D)KxTgz_>~ zju6}G@dtsS;b7wk&da#HNVu<#<9yE#eF~8*;=^g~&~n%KKLO-LTV4<3`cfe?*09|e zH_hfDp%4^`Bdi*ZN2VgM-hal03|&n_M1-*{cA2qJ{3*c`#`mTi>7MpT!{t@YPYN7# zxTcx2*%Q-KJAJ7s2Y)@Mn2y78v$PTtHo^P_2JR(%boHknBE$CacdUpV?@(f#FNUOakf%wX+o*D3B z&SMDDJBQxS$YT3;NVIfT8<`h3`WE+;Kq^J>$4S<*i5GCDCXs~SMa(UL#3N>5R)}fh zWYk^O%3YGe)!$(0&T>Vt^aP&3Q`hG1M>gNsP6D}kK_!_|;xR^iy9JwQ~M-P&n z4P{58OwF1V%jGgj1dEVdsIoykS# znuwbZ7J}wFOi#t|`wq9x$D80nKS|-RwjD!s(A{HJI|9j9jNn6jmR8uWqxMS48d3L& z%(McwUVBEc5F$T^{PLOb%=(1z)sCBwkRSv1WEL|0ms&j2CrH!A^u(hc$ay?R^HyF@`C}Je1GI0YufTiJPVITVnv;bv5z4d?`q6a#O z@y%i-UVho+^B7f&QJ{>yZ%pXr&5ps=hLjSZD)FaT%sY3 zWfd8%O~{~HWr~!-Dr{9?!IiOwi7da@Xx-%y4f!k9y584eF`t1GXhlmTnoCU<`-kW2 zhnS^f5#{YHfy)O{&;uv>&;)&TC^T7xp~R{p6?)@rzUSwz=u*pQ^VN+mAlZKTdk9GJ)H6ABjA3PY0`3XCl}fi}AL0!*+w^ z;ciSwXr*=`C9~y)xt_=`{Q*y9U@PL6vz#*JnRg@nUZUpl1v1-pO4+!foVnFpZcBf$ zneZ%|J;G1$=xHf_y&=Z~>D-W$84SA{fJtL>ZmJdwKN)$?@}9xwi~(h^IlyW_8Em}> zPzIZ`@I8aA5Ddy-|M~u&!CrgMU~`(jXRsCCGuTZ=?-}e*?-^_^gZB(J@I8awtoxq9 zUV6`9b7{Y4u&drP*v%U68SJ3<3^upgdj?zYZw9+XNuqECz*u0|e8Ehg@23w&` zXu8t5uCC+4(2IAygW*q$RmY`s6VK)i!(GSC#)&7eZ5D#jB@eyxN<@%v*Q4@b;H>>R zvWa`2jPYhfdGjE#t9_KU>Svr&=M5>4@0g$AX~qgP?$N|`s?2!3P`9~L>DAF|#OUTX z*Le@##eex)@w{=?_NTLn^U9C$*ADvD#-LzlYh0DP6KmJwuBX6l2mR}bRol~I6UTi* zJD|zH+s&0*2nd~v0)+se1lx}SuaOFWqZ$tx*!?6}*HYWye!TZ~SA4FMOC0&*0Z339 z4F)P<$6q1s*n4jX!99o>!V1ByZX=-#BgI#H5@SKF+I#N+kV~fldOd)9doN-auQ?;^ z_$x2UVq|bo3_BYhXW6&3+M6U0Pzvy2gY_w8@*)<8qYw63>-N#^;U>ZHSI0z$(+3lG z@t2VFp^E{dT=qZB_P6cv7{-93a4Ds3aLgU5uH)6ewJ*%ZdtRnH=Z<^3_*? za=_w%XNe%3=3r7RD7WB%cpO6~s*oMU04)PJe;nV^Lo~DG;Mwl?7BZ8@gAp&udw?$HOPtth3M_hig zY=5%UVX_Ql3KV&YxOmDMv{9mzamr8Lv=H_TT;r@qo8%SS91He>5r(1_qmmYevY*ry zB}P>i)HPBhbw7<7e%j`>xHCJa-S?!i9j4uZrJsqXwxy(oCakB=BmuNW>p+AiRF%;ILWwq(#GX3zpDGt-1KQw%bx0yA%*Gv}8wmZdW0aI=O^ zG8f^pHh*SKN@VR>Wc{MfdK}3-8Ogdk$vP;^Oftw$@X01G%#QELj@`*7fzF8`$%zuq zAvDc-hR$9p%G#mMewNB!FUg?{%)uAW4L8UQ^~uF8%mq^Bt`6l;59VT1<^>7o1sLRE z1m-~;QH%vk-lbNIl~jy1%hV=K!;Mvj9aoG! zO^gE`+pX5@De1C_RI4Ltj9)Yu*P0|Zco=t2=zl*ThL~<2ajnol@_s`?s6?Q(A~>u0@SID+n@3bu zNwJoPO>0P2hRaBc&WwQ0>XuCp{Fp->R`aRNlHKhaua+hM8Jh4Iny8x{CxYSU=WGe9 zQtq=_K^aS_wr>h&7GKiPzPh2QrR6Bo8fdKH=sbVZa|Hgu;FTm?MT9_ZLnNkFR%#ohU?jF;`0pWxFep%7 z#YphUhP5)t&9unq%QkRKer}R*1#Jc@k8wYW4dT7qhQr#lEo>-%hNzDi(5wWIYxs<4 zbx@sHBa}ogqqO4$0@m!KL2Cg9rHUO3ACm`6Ly#;w@lB)Ar3{gTIv0351{T}v9@=pS z1JbFw&Jemr+&TuuyOM?@Z@9W4wY#C+yC==zsvZzv*SnElx=~~!8@juO&$l^pLa@#aG+X?r*A0fox^@-YYZJlNnc_XnTeo-vwyt{c z7u#O6dRr2~%AXT*XbrKddsn;r2pWACXpx0ptZLGd;-kUV*9^Xt!&j!YHYO)k()JB5 zwqSw{VtyJ#7al}48`Mkk=xAxNJa4dG9}M#uL?Icf`!i@C-WcOHB+c98THfNmKIASu zgiJErXg1{Cp6BI0{1s?99EzVGzCIk9HXQw8AH_G~qdk&{Ul5x3!E}Ser`t zj%m)NX=Ix!6oQ!to*4|JYAlZ#@U$7cS10_98BXRYE0|fc(@Apr8A^{?%#2x@h#9(# z*^jTYOcygOK>j(B*BK7_dajH)v9>ur`UdvbIhM0Ik%$H{oq7F_^O6;F(jD{s8}sr= z^Og7uuZRmOHuI_;3sU?Gn*7rm8w;jx^ZFj&K>{0>WESAP=rC4q8i8qEu^3lYW}|~? z$G=qiwBRha=#sHyrnBfykNW*}slRo}mtfFSXW7qvIk;ogzhl{AeL3V@3RWB^#+Klz)|MVx>?AB{ySLsAjc%qN@0H)k0^r@M5)=U@paD zO(A2gm3|>%Z4F;$Ezf4Hn_#`>brn>?CLdcH?O5pASZ9t|pO&lZ-B^LEhSxnefSU%C zF>SB|QQJzhk#-5ZX%fMbqT!D{;Hu6x7=;sdUpIFvx`?2mj&-(9bOz3m(2!xbu3r1G zv7qh=wiTnd=wblN-CI{4@DDl$Fxzlowp&Hf8<3f(Si##@75zAgU>^v#-}rZMYqqc$ zHVFg_0G&H`^jn0NsKkW3;P^cZZ@Wy$dkOlxcl_JbwrH4yyQ}tn#ESs7$W0v2JzNJs zN%kK7xWSRlZdUcSh%GAjC(4K+nzpdCoaI zGh0)&J5yV=T}8j@R}_8U&DFop^(Dkf)m!Oj4i8AJf@)xQSUy3WDfV2&_uNhPJOlQ; zv-W&D_Wb_eXRuAIZc?#|{)1DOjUPU9YV7CY^|8k9qb|&`gx@V|=%bUr|6RNWGT1-~ z&hhA3R97AKP@;FA9d%(JcWt1}uA#Mep)GWvwdOpF>a{qujX1PM&XWdHv^wXLJ#n;J zO0**iwCXO@GtAS94b*at=lXSJ!fBWWBvcX-a(4QRsyWXBHO>OhkRhkY0IEixK*pRv z{(yb%%X#jbfJ_*V447(CCuA}wWRJ7+m+HvW63Da?$ga*83@?$Hv5;A@ke$vh95;~O z0|MJYzUtC$^3pC4N%A9-jVY3~29mrwk|igSG6#|h2a?&@l_?16E$1H- zjXx%nhO7EJdKp-zc^cGc z6wD5S=R5-!!9d0F_t+pf9Beq;vwNU*jmPrkyky8R3eObBE0HCP?w1XHSaQFvSFfD}GvqcNavu-*Gzp8!fq<$NDQSXZNXgy5Ois~+ zCs4`-Gb-g3C=sxj_k3kaqF4PU>bfEu^J?9e7hu|})t`KyCk>!BVB z7DASj72{_6=M1*)E*b%~tnH+)R4}+58UN+v%lm+btL_N}iEOdQKM%iXu;9+SwlU$4 zB`4#A35^mkk@o_fF@@+eI5E*SyRhQ~_}zPB`Nb`1WclYQKg;r|snGQEPMV&_@QiZi zqmv9#TA;t^?|L1>>4^Xz!x3;rt;o?rnTW>TAgKu$>p?IYLuFGBDpP53FfxT_mnJf~ z>jo||nPXEohzpIf76cwAGX=rTqf-Ww+E-Djkyw7sRUudQ z@L-tla}f#k^m1Pl83n?H6VdzUOe<3bQU*h4H@<*T=|T0usAQDM+E}8uly9(g5UCJ! z<*=pT^#v9J;W34~2z2Q@jm=T$zuHpkF@$?;p;-7!5-z?>d4z-5gg~Srb`iwE5bCI| zc?eD11|f>mXGLlw8FZlnBiV5|S{x68*RnZssN4{$Fk;_6sz~azNa|?%ZU|ni;Ds$- zg6v@^ZIT99jxI&k2ZcV(wg!bE(_6WpA*UE8it$~Hv^`T%MzAuoV{y&!i?X^cX0pmI zQU%tUQEp_m`boPHwx*rD5%N~D?Pi<*5ZJ;TgR~$f4 zYz>Q1KaLyBT$kC1*8|WTo3`R!IW|MHTIqxjOIq1mk6SEuTh9zgD%*6&Upci)Eq&m? zzJr#Yc064FcESR|lT~%W<5^a9BhwUA^`P;roW){FILP$jyfWIB<b*`=B4>pwIoSBXK(`f1GXWODD@}!FHz)%b zZU1u?nimIy3ewz(i5awXEOtY$%%!8!X8Z63hEV#Muak1n3mFxZqJF05VHC?+F~4b6 z)@hhdt_=OJB6cwiyU@&{aa4mGJ0P&%B5Y5@@uv+Nh1-2QP!Sc!OZSYiw%69ecxRMU zU+yx--!z5c5xyXUNq~QHH8pm~WFsI-#jb==GU2>^R9HcZvN>qvQQCdfyiE{! zZf5vc2i|b9gGdE&aAHE_EFuk+9h$OvVp0`|j!7RDq^#33jak=MNal^AV$Lo3@4Abs zb0S{mQRw%B*Awc2xcIr~VT^KI!>(r#w+gPX=kfiBg@ruXBI{I16Rq!h;%vQhiMqggI-TzsOqWON* z?AtOfiGcigxrk?U!P>3PP^Yn`Gc1kOh(RK)sXw;nOT3K6&SBNCj*c2;)fX!$zs(5t zrlxzrb|J@WB9%FuB#)n=nMWy$D$8;_UUO~Mr*(I&j!0M;TdZs6qs?vZ;vBxmWov)7 zezf~|R%UJBy%is6RKL2z%Q>Q9e86le31z9>0o3euwLMu+x9X_xwzl2ZYm##QYaLR{;QSU+(`?gdQKjaszgCd4*Z4;9sX0WW}76rBPG;1>o zS6DbAsHWy?+!_&9?Y!(--WEB2?RQxHok&u!IDeAXm_*O#6`{KBGV`qmjp2Ooljv@4 ztxvJr3!?SkP@*ZGMm4GGAoU|c-c3$OkHUUSyOOH*nz$;c`plHWNUt{vwfcp!N(AQk z0+tB9Y=W3vi6UyS=Y_Y0&0&At%^_q120sy)aDSy!ckze2$x`@mSs&2C-FTU0r{;LgDWihju5y z_pSN!1fMQiF2Jpqnklj7eAmA9bxHO0`So`_IjKE-X-jM}h;9u9%x$*ORdydr?0KjMdO6?MmNo1|e3tSw3_q>*mlo}mzgei!nrL2>E%C6PN;a*8)U3WM3lAw!37^>W|m&kkI+fv*raa7Xs*eVR05k8~lgQMlp=8=pwApFBDqASy?7gCAr zE^;5-`Zp@IdAt6xg~@-atBr;~o3tv2o73u5Rla#umY@{mT?tAl=et(Ul4(xI-<(b} z%+9}=Sx6gO2D>Q=2JGwP`)<4IqpBzKtEciCX=b@*FVpE}Ss1PaI+?k<5~YJ_SeHf0 zSo~`G6S;r7HVyW0YoN+RZF7$*)A7s->S}gyeWT+?5aJCH7i4Ybw`0((%@@(BvPoKJ0aTy+8 z#buus4@V5H2m)=Zj)=&OX6u*qoQB$Zol(Ark}i{8$&4P6k0cEs9)2)h2|P`Si35Lu zeU+)GD8U19KaV_-?7+`fW`NdX*OJ&il-RWm)M<~@BLq4;h&JN3H*xonEmyl-RlDv8 zQ2lM}cX}xUUe%EHe^KNVnX46#204&?E@7k>nswup0FRUz*o!rO!u*|FF zGX#5z9@1EDIV%~ed_kEZ%aLisQTvWV??a_N+OWX~5tJB_{7^Zxx*u<~h7By0F;`lR z5Tt(KOXZggzg@|Vmg+WBX)6{Ua40RoKzn6fAT`YMYQ$pXZ=bro`zzuP0*K59wfXC`t&=c}v)Z3_u?WjHCZ%_Z|&&}4d=npC%WyN{X75Oa1gWbhH z_o^Jss2sj4A9o)-D&_e^HYSeHIny^d%PO&Ht{Sf`v9N=;$f|TJGPGRKxzbkm+kWU( zOtuR8I1uD|;^NyzZ`}dbVOx$P%F6A3seBV7`ImWEw}451R?VOdV(6~i5i)FyAbLS2 z3d56CHUi3N%{Ip zSqSkJ$rn+Zy6*cvDe>K30b*PdR;5p5(mp(~P6e-A`by_$UdYL5$RCd&7K$nQ|AZlD zY7dmm`d;;XnC12-lL>gJ`M4t(#9A9%HyXk^C8%Bg#%l1l;gs(CDY2`L>4)BEvQDWZ zAsL6Uc%#m@Zz>l3`fg>ERzijUE~~zp?X*H1x6V}BikVk$Q+lH{u6d-i_n_2}q^47# zraM}x*Vd(fRe3TiV)P){iPmjJBUOqZ@0HB&UC2q;)iHf?t6+4Xy;q438{NU18^V9B zMfZAE^NnzwxQP3lXpG|5LPd!>#dAE_SX$W^auTu#N^&c&O+6%*LS^rgWRuCJVLyJ4 z1xp*;D{0yoPoLKefeV0+ch0-aX@_!yH)O+QtJCHEYONz(oQQ_Nl2YS`)*nW{E*yRp z8W@_pFJHU25gQGVWVG3|8QQHZ--NB_92f@03UrZc&&Wv2&>4lj7i*XO$>^?)l&sgS z!aA6#z%Dx)Gd3IBKe@%ys~$UwwY#F}A(Mo-iuYzw*r+)IVQeOO?rZtr8CqYAwyJUa zYZKMJyjtUIKBeW1P9<6c%SYo<3!OBwaW#jfZ85dt`uSa6xoii?oVMxxIZf0ywSudq zLe^hgi0U;2>a|w7d<5(Gmdoa$GXo(~w{^NLg%j6fdAEq$oF*}M1U>fzv#@62g>F?n zdS0Vn%Omc73yZI~2RtUh<2{3N8?O+>Iag-mj%VW$=Mu>0K9f(4v~7GLFeYF#j*OW* zd9_MhKS$C(_e-o(#(fN*a473|%4}}coIvx(wrVQ6Ng1A+8hRI*=d=cy$jdAPBo#Tw zeod#jrTnXDm;N=nldfY7bq~22+&1OlXW@O6^|Ibkm%W;?c4BKlYM0?;^P|I+mn#B6}|$~5ZSpTRYd^dPxs5n zLpwgvj$x-vrF*P?TYa;*y0|oFso-E{PGF$SxAw(KsZ)qS~JmuddTUCSqS=5lW9s{NNpyVQ*bG`+#DEzsIK zdW5>|t#jE3-@r((zXd3KLCA5^sbRb4i^i)$jaVxcH8~r|{K^Eb{&3lbm-vp5ks`*m z%FKI9zwjx8!o_(uvxR!g%(>TI2Aitmt2r3cxner&1XkhnR&-WNk@Q{U<3kh`w#;)n zRO7Z~tG2(7Y+c$-@PAW$4U7f2K z)>D)2JAOLGI2~`k8ILWr?<~IA3?iIwK++_R`>nyR*)rc(*l*UBr9)w2qSLU?ygE-c zzmKxB?_9rj+_qaZYQ?>~R#Q04`?xzeKioiWeOd1yoILSoOqYXQV1n?h9r3tR%tD&L zXl7jCiBF*~%%b04+bL_IAZ{``b49E{!_9L8BiSCycn|yiUSj{@sI29t&W`WNMrFWj zgG~K-x=qsZos6;9ZwYJ@X>DJ6Y_9Unul1jVK|8}6%(TLFP6L+OF;6=@*C-p79O;y4 z*pL1oY4u^+RmNmtf0?r%cX)#zF(;orr=aVoWbKIO=~!3f zqSAPNuy#ds;+~?Svw`6eL3mN&X0U_kq^a%E8DIj_qc^{zcle_=%(&iFCH9NE--8k9 zEfas+xv}~%(zQ_RgjuScf1#bFuFr$YrA;=}R^3_Pt+RvUS+2=(zt|zlo@Zgh+2X*N z^WMTT)LBw@&n??jTH=ii!?~xryDxOZ+iS|_*PbGDuO`lgto~~M#7h-?2X-}2*P#jkUiI^iwJlPV?0u8o{Gxwyyfo4-)24>27} ztYIGx<+kE=wpu1`Zv(dO#O(&5ACj|UZqhBlljw>NWa)XBwNGvqarMb)qgW)cBb5kQt zS~PZgtkC4y3~DU9x6X$NSg1?2H@hv6mC1!&tNMbr2Qc8d(I#0XH=u!VU{557Mt*o~ z4!7kfqw+Q*2Ci~4K!)=|Q3;re@+4ih?4t=;^~&}Sdl1oyIR?ZT4GF=a5FFa7LP<05 z3Mv8FWa01b-iS8J>tM*HZYTsJSODg*(Ul8t-lt5+q2Cj#lr*SDFXCgqh-^J7!4Cs% z2`OSzWq;F{xS-|;9n%R&EZFJtli*W5nNCeSW~Oisf7Kril|eY@&%5yT7GLkU|xr{VYf7Lz}2{UmP!f zC+IUFcDL~eCO;z zaAV-~0dJ#aw_o+3<+L8qZL;7^`I7gZP`+0$?O4- zu;dbILa0K~T}uE@Uc*dT4!%Gx3%H#^F85m){z=h%SY1lta~p+B;RShzTz&(N%3nCvRkOWVt*J(8+9=_2B;73vLTa(eFbgLECrc$rS%-ZQLbm^HVcyG+v$x1Od|+H}%3xIPeM$jr<$a7WLUZD{aI&~XqsKkBJ^8-pU@ts#~MjY z)`#mmo173rU)#LswQ0tJ&uRt-g=sZ4cHhhWNDo=^Q+y98e^ii0!b&R#0HECnZ9%SV zeUWGmI5jGC`2@hBItd}sLnY`(FlKHTL;x6z*Rua+gggkUmSDl`-s8Hx+U zPbvk}L_>q}0MSnPXRqauvcW~-*Ui! zgG-Ed5%d?8b#=~?t73K$nY8o`=KrjKm#!yFO=)E9oUN5jikV( zh$kCm%vRYgeYUKKukw>BuC>-TnGJe@)`KypV4e(lVqn9izM5Os41eRBJ>kVgHLni5 ztn)8>q6hlw9~95CZois~|KVEMyq?L1A=pYH!h(&0>$-E0#2BUVN+!d&>vA#u8D(jh zr#@-cQG3+cdX#;eI!^on+}Uf>#$$|6vhWL;?oO2Tqkg8e%*JsLOn6&MC#9$S65Sj6 zq~_U^ly$pC%tAg9H&A5yf(8-aiUqBPg#oF|+BbvByiE%!?G&CQ~5UgQTJGazP zSsbq0=Vl)mjrM@cAG;3b$;_Oxu}4pbz4*jWl20{;>|taub3x1}u5)Z3h`%%MI8$Fq zhbtKEP_Q^jsI;eY@!qACc9q+wQS~s^DO+2eQ9-ClixktP6u{UfJ~?{hiLNQFg;4hc zp~*W}_b%Q{PA!|!d9m913V${Si@zIAkEAkPJtp~|ys&*hRqhN~bIQe7eG8)&o&w>%3-lP=m&am6jt_PZ z!l1QlR8f{fEBR9R&!}*>+xJsKD8HClrzV6msD9FvQ=7Qg_LlQ`R47`vfW<{G8%t1a zp@g81m#xUnlwKC4J8C~-0-Nto69Sc)x9O93&DZkMTgSd9BPEOG|2f+BCr&M7iQ@ab zLg^#dyAakL6C4tLxx{k8ps<1^+C~0e16N0n8Ot@{#l}uK9p^$?GG?|?K^^|_9gjR{aCiAd?qwm z_m?LZ!&pR?$Y844qAuSC`9M*tWjdvU*MZ|KUiB?#Mrj&2XZm=c3d^6#xRgUdKU&ZI@c-4GMme$4bfQE#x zst$JQ-)1Yq`RhY6k7346-S?8a0 z|88RMH8n_4xW*f{?a(*Y4lrf9CP%L<(_(p#xU^p=PCV@Jcly*>#GRyyv_iwL?+z8(1i4wVyWM^?zK z^D|kVwLepi-z&5huV&dbu^1hZceX5DR(P4r7;kyL6k7XB4iJwQ(2qCuD>oJ1T|^yw z{x^R&$Ul0gD!|q@lNr}xi(hTgKi0nPyqg13KNUdg$AaVU zB5=^O0XS&tR{3}Jvf~Cw{Qw6|A2xy1&j676NveF<1rC~ye-yvU=XgBO>bwV1Ki9RD zkHMo1b>4Ri3}ddOaoXNe`OHv;jM(CDO8RWNjn(LF+I*92SJlEu5Ls8Oon$9 zmXm*MiuDAKVID{)nIi$Agu~qA!r#QX$UdQxeC}_P^%9=+;;${?J1mI;i17>_DJtt( ze}B!Dxa~#VTH;8ciYqgFA>8|7Ah*n{3o#`ZSQQ+r4e0M)E;1R32YB4!bo|?13E7Yr zPrV$ogK%WM5@#VKHM!U(q;!d-c=J>*TByiUC~1UyxpJsbn3w1imtr})iagA)E@bGZ z2dSUnfd($&Ru-kW3_LiHQn=v6!OCigwEVmt^`MGZi+%-!Ofmu z_MF@fp#V$Ln>;7Cu}y&FwhVFB5}c7Kb?~-C-zM?6Os>$jC>f~e00xA`yQqLqR@5}H zj5HFQz%z(+U=utlBg~vGI&Hx)4}mW>jiu}&1JL(uqy#1{2%$iBZR>~%cv+t0fO(Y} z=!G~fNW+|NVURS=vYf6g(CRDA{MfxMY{dQ!1AbhI~HQDf@=tNAkC)h zqKeB`xHm5^r$VZtel-oze+to`-YQk4lQ=Su+vt_(qh{HHZ>y(^E!#w|F_#FWjg2wm ziZak{vC>}})Sn;Zq0EZ~s@v%F+7z_$4rbKi^s34*dMkUYBYi7gYpcP#UK!sV@fAhA zEGWgj3~dda1qF?L546N*hX)jhuh+vtYarp6Zah7RctInCx+8SbE6$nEBi|cqOX`|s zU~Zr9Ft2Do4yiME}3pusDSncmN18by*1#awn)nl7l6bx}WW=_6KaI!Kk z;J|nD5Z|>(--;z-LTZLK?2|CV+qFRpgYVzXKqijq5_&MO1nQRA^dKDiRteu8ab9uk=sxhv7F`-t z(PWJ03>2Cl{PHA|JU^K1S^V37pE;_y!Przq{71}FZ65$(p8!p>*lH9zPwC@OS&A$d4zM z_}BDw<2gY~kl>S&VBwOI>Btbr^l&xX0yE}VN)X*4bv1YCYgfi%dkWjF65FM8FvK$P z(B6Tx^!uAUo{Ul+huj=t`0R6=B6?WycOeT2T81R?ecvZ&DN{)-aZyGvE6N^AI7j9}aF^i#ok12UL%>lH&c;B8_0K3$ zmM3_#C>GF0p$YV`bkUOcKF_p>wUeLOp4~c@mp<0k+EUGWn3S|`oJs@=nP4xNP(C^| zqwSd=ls_Q_3&OKKm4zCxYHA*r_aBA_SZP))5n5Yt=p0JyTdEBkuzS+cKG8-9vzQCp z&v#g=II`&IkQSj*i^o{>TNi3kv;E%PVh>=eP~G~}P{Os9&wt%3o?enM%)DtHxXI62 zRBn-bo-6B`FTidnxb!~35oSOQE|!(9;OemGTFU2zT5L z-?|?@IlNmJmE8p0r&9(y44%B>C3Zx{blM`chBKs2$XbFYtw3MeMj6=9=t##Glo14+ zx1tk9_y$*9MP6(!Xl4hV$2qQ!QsSzYKsX%|a)d6N50as`NXbKeRr$2`KWDHP{=XC0 zKn9yepoT_*n^vKQR-Kzpw}$R5H@!^_y%RTsR}I5QZpMfj#&~X~)EcI2ZszYb%$3|M zjWsNt+^j!qfQ7MaziQalx!Lz>*iX4RZfZDS+?>d@oLD?uM73NmdAJ#BxjA@v1ZsIC zcz7iYB|#vnI|K+SKwMdYA5bW~9ykI9g8>`&<6%nCuvd{VwP2X0KTPNG;ohM{51I!!1-p|te*YfP_?9|lMe=+Z2VZeCrE(-4b`Zx0~ zdr$>J+dyvnUzKg3ul=v+_P-L_Kx_M7-EBaUj~w%kjg4hLO65L^eSZ)xco0o_QUu+i8RT9SS2TA8&@YEelHjEC>Ql0^Z7|O{z*RQM#1k= z!TU_X^H{;{w}Q)of+JM^-L|~#y1eC*yxF{*$&9*b{WJE~ANeort=c55RIRP8t@27m zO1=!h-tzMDk`mbf_7)fXEXEftAt52k6#`)Ib*!xa8GCorfIFz3y>~MOxRD%O`{Msv z+=k2lUwUs5Hcxsap_IaY;t7+?eyr)@sGDO*aQGJmk5t5tf4TxFcOSDUlGfoMBzVK zP=Pvu7U3Tw*kol)2p+P%8FitDo zho0kGGmmeH#l|5hZ}Oh??=Wh6a8MFvx$` z6ZDgza*Pd>*@ zvYTmus=X`mB%6;e0b+GNmY5>rxy+@4$xIAR3VldutfA04_l15^>@R+iZ=+H!(s8%Q zwa@gIp`~XEFaO=&wuiJtNS~ow)upQTky6vIj=hyUYSs0BAYfhI+B9m>CNH{QC+DQ#dqDlIk6zwnW zfygu-emikg?!fi>rnE_-YvkQruSmREYxow>pq>xfA&Z^1WEpYb)s{8OI2^IC4cf^! z{8VG}=P8K;GUmH zdr*QOSTNd41Hq^J!BpRl^TwtwRmz9}Bah9=Elj0|+bWMUbkdbl$bwWF7X)uE$7QV* zsCH2js)8kU9#oH?DMOf``kQV?d`c3hL+3zpzu7e=h!ny}@}q3;4~;j@5FPIaeORYB z<|mWOjJ*kB&al6Nu4xceTcvcL1RGRYI9ZuEy`Ab^C`xV;K@CnMb!%Oo9mZgXX_LqHp8PzbykvLg= zObPT?hQ7|O6`Glg&Q~RwtEhut33v9CKeObA(n>Zh>$B#V-|6w8BA6^+6ib7c$Pm-& zgiG7=I~7?pNbD6HD^x3eUxE!^8r*2r9w@xedX3U6AH*kC63bo8DTvX|q~_KV%7CK* z*w~QQ(_lxbJ_IJAsRQ=_QPK=D){T?8@Rt)`rF|~=!Z@rnsR*kUZM5%)y#w4+PRXb8 zw`SuR-@8+-JSJ?bn|wQ0{McqyLG$?_gujakUwHDtp4qcjMmU zwOKc#d*XlZCIT_*a*$Q`rC;1nMyl225smH3i`-8o#MKors2(UA-cNrWuPYK5J5c*@ zKa+!5U#y^dsQK-FwpgvcM0e~^r}ciWDz3iFM)kMB^8I|%czuP}*l&}+_rElyK=ACQ za2IfY7cAsK=&oH3*4teRgK^g>IDsM7hJP2Q$FEaT-ygqw_jg%GUb6A$s;2X|)**Ca zuSPAe6Hkss@L@xP*{Z4&&3BQtQERXEn|2eIZ4u;MXk(ZD$a{}%(+!9hTRjHmaj1x2 z8U!NMSp9ew^_CBgFc6M~)bTuyr52R}t65qKz}^f=JM=JhACdiXQ;ws^+g4B^k%+w2*8!@{1ix5+d1{uTC&y^Wr+cV*Z! z_ST=QxNe9DJ9dm0(cNIbX?YuV;yKZ(eO7VPArN*NfF-I4;<)X>3Ofr|Z&SyvydBsJ zJ&%hQ1-^K^8}1CfNSSC;=B&IMPYu1y!V*)IsxWry9Bwm)49h&)|#Tt8l}|9-mp zXh0MQw)H^J3)J)qgzUScHU%pG3dFQ^$0iPv76`)McO&!;5>5>wwRIy~2;#m8qTF|- z77S+A4W_qsWo)uTOQRBx2n= zhyKAf@SsB624Sf|uu4rsfP{An2y@FhY|Ru!M9>Cein0pAH2oSz#$cm4iJ{AgxoL_b zT||IxiluNHuFxdmDTSi07Xcg`^!yAebq@DyLN$cgK&ntp1tU$HP%Un)Q@SE-7BDoM z2-;!r5efV1+@C=N8lO^ZKSd1UzSfAyXu?d}C;U_#X=97xr4tsa7+GLzqe&TM(}c>Y zNAMc-DPdnn;4^62Il3t_I=dLRwChs_BcgXTsLVTj?JVMbIOwf+RA^JUb3;TgBW70< zK{91@f}SSN=ja7nJjh0LMiZ)cb<_kT)`K2#*gI-U(1rjzZYv?m;2doh65%a~*AN*y zT@}q#4O-EQSo0>zy^YyZ4Bw56^6-Q^9E{Uq*FVjFoUrfNfOTZ@ij4SjRe<!wK?laa2T zAnW~jBLJ5tBq%fDEk@#Lo_#*$40YX%DYH#*vyR$rir>DCSv8H(#zB;4jFzg$Q&vi5 zb^)m#098pMg3074+eojXh~2?RFT%(&VoZT>0#0Z2gxe6&plA^nP|6vmr{Gtw*KiI# zVWl}KE=3?`{YV3S8*O4tf8sR#O~Ef3C{b5<4g0BVxgbqbloU!tMWwGPRj4Tm>E1eU z&39-$J~n6?8EuQyKR;=(+`0r^XMCg243o_avCRA$o+(t2DbSah49#4H&sv7jWF^XH zaS&yS*<|_TXF+oPk0_Stk?rpH|U*Iw4qTc7Akmma9vGXC3$5) zqH18Hu1xZpnM8}(<_#%{?me;oy|rPByPR*Zgnga@YJn1I-dkTA<0WgmVd8fs#P3V2 zo$lRjN`lQwY+RzOy?lv%42VA%So;fmxEZ*96ebQKB@QFCjzA^;bVw8pJG6>jB8qPz z`rKlb)Z!7u?3$cTl;%tH&DSc^o+w+HC|B7kUzn(nl;}ID)em9MR8rT{d&0^k!s;c< z+F`=_62it3%jR^#R$sz)U(3!G&+hBdCO9=_V8R1XD`{Gs6aR z!d|^gF27m`meUDVgUDRO`eqf&&q`0E>Q$y{4dtpW)G988 z>W|;6Fn?C7z||;I)$AQqJIL4kwySmzukr4!QP`}JgRABFUgJhzdkIsj)rqRUv#){J z)JFWQh2N`{rmB;as(VDKv$L*a$*YTwsCyWw6N9T4p{mEUuM&AzAzf0mqQ;cXMs~O+ zR;nh2pN+qV8}LdSPUM?dx|^6bn-buf8L67-rJ7^SnzO$*9fvp5b~jURHoKNInlWI>vZ8x%RPmgM2C~f15Zl8h`wO1l{4AOUCn{{9Y z0Z9koLWnZv16+_0%O=0MH-KJipm-j*h(%(oPj;48Wq5mnG`mt(b3%OiyPyeO+omWD zLry^po!Bd#DUzKIMQLUG5#H7)C~e&+qUp>wC^%$2StK?a3n^aoh-4W(u1v0|8yHk% z-3yZ4cHuFaO6l(#P?<7%PJcUVp7l^2r90^K^a}PkHh_dOdK?#BD35xvRr=o3_tC4^ zymsy*YwMwC>{EHbV7^N-TIn}==r?WqoSG9SNHSpUH(;AFz@d+#-PWz-;PN`5|8XQn zt}ITn%^Jdq`Q8Cj?ZLS;q2CGJ=8-Wk6g=$Ntc>Ecw%^0TezIp`Z3u z(67(m$c3P*6NfC!2Pr*j5X0-p8r6B|g(zm4gA4fKTPstqW5aN#UDpR4xR&N`Q5nvM z%h=6E9<6QI?PMOE8Q9$`?!A5=m>6?bK8%_ucMP-s0I+xT>ro`CG2GkHNwSuv4`Z74 zV@nRivntr@MnNkpW0l{=cF3By{l>%7#}7r@Mpwp*hsV!Gi8k9lT%zZn`c2d@Pu#~4 z{Xqx8j@pHmCzdlN5XMR${3i3#CsEmmU}Tee(G?i&qfpVQ_K``#V?wOVDg5$!va#>P zk5f%RZabFnh4J*l(G+8OF>U*_rOPxs#xxT7i~$U8hSz_J$A9KD9ms7H@UPDN9GQ{K ztO9b|8s{_e{_O;rvsFveDzOBLkFz<4vzo^<+QxHQICFZ(le+D53afJ_$M^>1^Q0K_ zmhJc!{_{3A^Y&ui4y*I>pXZ&AO9AXHVL0o#S_fcnQL0~lV`TvL_HCaH9xD$rUeNlm z5J}$fp?$%nbRo{aA%T1`Nnr7de(>xIRF(0XD&YGTz8i-GH#KkG5~bj;x>fZ(yn| zp>}NGif?{5-h>2f5?3sdnrx7*ZI(Z7f+@DBDR5D$Tt23N(7I3=)bPM4;J4~cHWaef%kCcfWQBWZTGBwLI9di?uC)r$OY`>bnSj| z#EH(@T}XgB=)isNg8tw<$i_TenB19@JbbSMmq)q#J?F605l65IwTlVS!qHmH7Uiqy zNTc{spUKfcz|mmV(QwDn=-Scv)6pcw@wE8ytjY0w!0|%XF_7C{Svy{PI^Li-*%Ck5 zF*$(-oa|?v9Cn->t(}}aot#meUWlJwnVeo@+A4g-y8jPq4wAsSq{OLxF1&n^LOE)DFg)wq&_p;m67D!)Xl2BE2`Lqa(r zA(Rm9myjS3L=T2+00W@;AOA^YKkVxdoYx<6kgcaNYsVJjLnG zN(0HV>h8JUeRgMteQyRrDp0?F>wIsLa1T)PvVW*~)j!m{PW`W5Afj%_^GI65h>0|>=+NReJ8o!2GtVrZB_!{{jx1#eJ=Qpy2H&d4(0Py@*s zINu!zZk|#M{p-ZK$?3xI3{qiy0-QYAHw4CS>J(XM8~Xlp)?$|rvDoL;I= zy)(L%dS z92tcuXe?7Ag2MRT{cx`Q?awUZzn&+n?H`d}nml;;-(O^QdQD`t`yTI&B{6WU`FWiz ztwyB0Oy_wTOXq@jCV@*;Dw4EJV4{~YC#1C|Mh?TFCq@Z^DE#b&B<|5!$JhSo!zV1*$15>J%f91Q!{WlSb=EHJ~AqY`{lp*wz zia>$I8A6Ron>Uz;#W@Xuj}t{zqD@qhR-#KW3Z{O>-b|1TchX>n>_Bd5#=HbURHnkO z%sWg#bZD5ltj-{mrLxOambHdb=sCfi-dFyNz1iEYwnjL*5NI6md$C#MxCY2%5V?mK z^9KMhH3f)oSPh(N-FrnIHoiGMH{hVDZ7qhts`n*^;AW)Z&!(L(7LKBg>)|4f&3i?y zj;-HVPTTyZ4J+Gy*P@*|yboI|$sezOpLT+fSvk|-@mRyVkzU3)_n>kd(e+|@ouBn$ zE3lsT;p;l!3=rEm6b`&F9&%C8^L^k_lnQ6X#imU%su^O)&(OqTsT_43VeiCu8|9wR zb{pegkC}-T`fUk6A$oIkIU$L{b~PzW^#1C#5<~gbv`Xtj-3*&Jfyb<-x~j*V&f8dz zc>||04_&bDe zl|lN0K!jTc2+Dlw`tPtetyFD#`>wUy4>X38#ME}bJdTejVWvo0Uwdh-xng}(Ea|n< zMl7v)GVfGu<+ajhY~S;(+m5|6r-@sf4JT_H8gm?<`nFymBiPF{?lRwy(aJadIX)C< z+%Pq^>oop%QN)s~&%@ff zlF21{{qVZo%E&c&$>rz?EXL=y|`p679Q4-kU8)4016+#yKg5`rfX0>L#TxVyVGu8q3~ z(zrVW3*OWD-RGR$sWV%1cB*E!YM%gI1^+ZxeP5q9vUlHC7pYKowIxhaMsVshw-q6H zbHKZ$F7BB-f|f2HU)`HHv8*zZ!;f}6Ux*L1bP^>zw>8;zH;{wOXfMmRJu}+^5Rl+- zbSq4!tWi*``nVnU@tXWi@2z4T`j2>9Oq^fypka{uY;Cx_vla0%NagJG2Q&b2g%S0q zGWav^hXQt+ZK{+}eT9BGhVx9H3&bS&rGK6 zd4SJ^GtQLiKmk|~oYo-}KbJY-mo0MMui;~itGUF7DBcXK$OPbGJwNT=jS5a*+w|t1 z=o~y!V$9sDHwKVQtiJ$`y5kV=3XuTR%7pgXDEZex_&^q9vrp2gj)OnJznN?`6%6MN7LF; zKF(XL7%MTSSJB=Ig)AP~d?YeG%s6Fg4dJLy#2dx}zVF7Y;e(4A$1R*(<3d)?bG z_rxOSrNK+=gfDZ28)*9@Pl4Kr(S-4~TCarlv?r5l`!nr@4aTN+wLLqZiVlG^YCr2I zQ)^_4Pwa=r>4XW>+k=0&R=pB)aVKo)lV1}`*=O7-=KFM9xF))dZg%)9!SDW>N)l|x za*A>7k3_uSga4~5Q~(fwU-YK>BwRA)atejwd0i11ZT&l~W)PECt_s7FHl`JKF-4&P z>UmNP-feUUJOvqs?4?dfD_$6GHcdZcrY@#aWw^oz)?pFT{vR~IfvToygzrci2CqvO=<{6u46En8P$I__s= zv-MK&nC6|hZU8~iK{;1>cMJjM;%U-NgZ<~8ADp#8ETJ1JOoqKFpyQuVVsG{6*g3>= zK<}8jn`VyseE7spsbHlc4v+0AmbD*P{Z)Q=NqK)_q~Quf@-oqci#&0#-m0~WV9aLL z;z!8Rns5Nyx82e6wilD(PYmwwFmVj!ia9o&gMH7ux}lF@svYl%QcjZDAiHBZ7{!Y8sR$PYHu8q*^t?F-m^ zKAq}56lR!D`FT%iEoO<7R7{#xz5(Q&ZMXe?Xw$7IeS9T)!z+4wSqi5u`rWGi-dz+{ z-+sy$eW@3PrkBCd2_W!+GGzp^wQGqTK`7CAVUYsh3{byLIi@u$HX^M{w3zE-?fZ%j zH*om}2!hq8iHTsnyI=!(=PMnyPu6Ud9u=?W1m7GtSM|~bQq%|W)px7Z_Zai` zZFREG_i=>Kuea9^&+?A;wQNCJxQ~S<(<${agrNXB;eEc=1J%~~D8A!@?H9d_oKj;*2Ijoc%-o^NQyeGQ*?1(c8TJ=nS!A zm3;IKlg1L?F*yW*4JIVA97sdXjyTcqg{L-g9Q=|)EWPkNJHBmcvv_QxNh z<`wN&BG+3EmI%dE)&XD`B`^-0I0Tq zptykvj&7(7>SvFWmH5WS$1m3K9gG(iA`$M%H~+O^A$@qU9xU3fbXHL%0a41t1pJ0+ z_NS^V3Qjq(>RZ3YUHASXzv}x8PUs_qsSE-L9F?m;A-UI^kw}5L}AzbgkJr;hW*z*Hr*X`xkWj!9CyxGyd3L5J|?g5i>r>j)bo!Yt( z1@cDL#(rt1d1+_oF_))~7OcKjIW}7MPItLJ58ci#Q$?o!ia#s{BW_E%{_3rLbEyL3y)7?wL*FWxIc8MMTG1Bb!oQKUyO>)(VF0rG&u;Zzt z!*N`UXiNbvRP}x07+J*_EkN93Ue(i7yc?+4<2i(uB>u5bJfvZ$e|}oyMmKC*lN)Jx zlW>@e4ZIDh3|0eAX%Fw|%!C1|geWJD*e1xTl;#tK#ZM$MuE0O9hkqYeQ4uR|!_WTE z&8Cqb*%_VqR5ZfeH1dMT1=l#MNiS8$CV!|amFFyV?BAm=Hj2J8 zY1GkEET_}CE!DLxkB8JzK_qq)!i`>`Q`4byKMs1>(SccHyas7U-LV(oSdB`vEV9f@ zf$A*X5Z(CLyon6d%UPz~Q4uY+)3;CtT&c+Z1f#vn0~iZmo~8rGTSfukF*(_I$atv# z!c>f2M4?1v$c#wG!mFez@`YiE9VO{UC26b?S-O!t(Gdk5FKclr^XJ7{tkCYZ?F1NA9g30Sg{=- z(;+9$u%pW8+!>u@iawx=v7q~Hbp^$Hqve$mE^!wR(TonmOp>~ifbQyy)oLp7#LptI zEe1n%QK}4oR?No~t$b|ki|d?5z1^04i9^FN!{g9{Edc21 zbrHHO5bbUxU``xnfQ_4$f2Nzo05&O*yCqk&a*6fxIP~-7^$YlCR}&=}p4C;bCQGUo zUrT75TdlDo55Qwty5sN+;Qs;D7p{Cx{o(+L-efSZ4BSr>LSG&!h4%4due)*jH|91j@j({ z#q7g25D}>3W#qOjNTYlA0H*3-|KQ&s~(F*h4T;r(DADDQR zZJ$zkuqD5{9r|l0X_jhH#3k0Ia$**d=d8!Qo}@o?)p+-nw9K(8bmo;dH$yYzfYFMae}ox=1%hejkdyyENuv zSA}v`b!IyBV5-Goq%FRT&p#};XjjiEZ1{N?H`{2bNe?usm({eYcB>a^Yx$M{N4ajNI9W0|$|9ZQ2^ZE%+{d+b^~%FpV7-6l-P$!i@(0f<-C$%QF|KlUf9 z#M`R@E8zvJ=@*rmv!CJ|r>~G4=TS^wh)fr8H054v%6l0OcZeLyRx4e%9 zNzTU1=MTErPOsiLk$>sJiE~vN{1DaXN?x@}`11P{=kkn7pB4(FBYjWL^qxWRJ!AJ~ z_oOAW&F=2!_Z3Z-MuV3FjE9dXI>RJ$44fujH)}koZv3GJtO_12Rfp{Q>zU?mf1a)G z_+5Cb_wu^-WEf0;YRuE9tw7C8k+YVDvgU`y_ea$C)x_1tZLYmgjTA{&@tz&Ya<28N zJPoQo;4XR^>p7i(_1<;^TQn?N_ke8zUg2HGnv=)$inDfJUeOxo(5GnQ*kZ3Y-fL{3 z<}~^z4+2{sPTlJk%(>6cEqzp)_;1G<*Cz&5{Pb)yL38alTiMxHf#PFQ97`DIVlL*} zEP z?k%a-t+Edj-(4lWm2P)=C-mjrW1)v*$;XAss|-m;thYx?FIPe+e{f0vlyZ8CN%$aZ z{8`s{m>HTbs@ccr+W)AyD!;Z-Ch2sjaZH)B^P1~`YU<2`uOJMp#Mdmv(tvNTjSlnO%jd=^!AZ?(Ag^a5J7TpQsBv7-rsJ| zVK(lbC;MYw_5DKf)8gbk*8c5#TgPA7*6vh3Wdhe?3O*A0KC^$md`3cp9S!k2{y7?A z{BtyumQ+p^Xuqv&Y;FrE0!3OL|-NZ1)E@pUz1wO3L5{sz3-eO z;lFt1(5{HPBIbUzQRcTFm(}5QyO_8A^E|W19R)fTX}!dq+5euT`@?pNI)%WGpPJ?c zd+zA~dx4xo|3NJKX`9h_7IE8{)Okz&aQN+CHz`Zzwtk0J8JH;?ZB6zgTM$7Kc7rez z*x(fEw;fUM1N&?`R2)i_V$xFcK)73YL?ky{ydD(a3qjX@W-eJ2Y;wNE8q&>x{s;mF zrD?^WEu;WKM&m|{%`XEOtflb?L0lah2w(A-(WH^ERj7NB@c*`{aR6?ch`4UGmZ-0N zH+oTNzQQ4(FxbWip^!V*ZbhlK3?mV$12&Oj-!9!D5edK4ZpTU8p~>M%W6<>D$rDJ+ z;mecN?cgg?{{|9hG3Fs9g&H~((HN1tqd`+5sDGfPMn#kj)7tR%Dbd9W)$h@Lle)B} z|DZsNo|UlVVE6a*xSyTj+=rf<<+&BfltYGr!JNm;icydsbIHt7n8;fOo1JvWU`;E} z9|g>5UOB*yiF`-=KP`gQ1vmw+duBdbUFfu)@T~+q1Cf>j zO_8pShV(*|u5POpv3{-nKoZp8Yajy&wM|-Rvaxe3atf8l%s=A$h7|VykvExD6wh8N zMZEH$f=#kz@hiLRP)2fx;=E#Vr3?#Vv(fAHE%>`zX&orRS`c-D__o z`=KnjwNNIik9&C~RDOIdObGs$Gm2k7-(}^(>f3d2xq(Q<7Svxk*@tt3@l=%ZLdhJ5 z^TMg4l=35)%ZIm6I62`9VgMrl)VJ@z-=r{<3%@I|jua+nswfu`7+94tq=fsT+tOP9 za9~V#tcT6}yU((WWcePAlrRP$j7H{$kUya3M}^J)O>nFHrv!KHs7i$(C?L23THO(~ z%~rdErdnCIPhH_GlD^AsuN-ZBUYp!bP}+mcTN{MqPmM&E%Hd1ALyc~vBun*g5$+Fz z3L<@2@qZ7Lun4z4Z%lFrJsHnOvVPYe30c?lq>|{Pn$B8@1=BJts)tKMQUXckrVMN* zhoc64yvg;M1Go-Gm~U1tlUv4%IDK1G%}-#$`+}X@gIdipFquq^^D@+d0QPd*a2^la?e)s_n-UTS4PDM_7Vp(Jz z1MNgt?;NN%@$q99IBuBe$9N6!LEX-lulN3Hm;+=aB*n@Y;YKk(D9>FJdmRP<)E zl0ozT>Tw(Qr_DApDmEUf$HT6HNAn$G(p;auV9e)Yc)@zyhhhg?_S=>wkgwrci_9D13ZwLY z3yp#8LcSuW(qa7hZuSm8Ai)L1)B@H>Vu!yAnDX3e@q znCxyDAGR1MxF$DMQgU)NkB#3Gq-N1E9>^)S0kd7x%D1(S^Mxmt%o4mICyZyF1`%$z zXFj_`bHZ~DV&1gpS)&R2SqJFihnsVs9_Ok4yu8x9Aolb}=YJ>rrd%Sjz9#<+T>5k{ zH1qgT_Y3vuI#g+tJt2QS5G|1<;HqN%`O+W=ko6P!G^yABv?7?~-U1Ez_IqwNo+XQ^ zA?CZg+Cq((FcPrkpzi@VZiF^M@3j%WI@G&AvC26T=&(g-vzT0~k8fwRvSl>)z{i8( z!t-99Zg#!}AlUc2`eW7h{DonYxRr}Q5O(2DlzR#=)eq+=ApI}uR?t!7sY^;`1~$M! z@a^7deg2clhMG}}E@NC$tRE%2jj*tZu|`VA{0f&aliC!q4rmzg`Y82qe5ETceKFHa zz-ed#^7%@o|25M^NXp7qRYTTD^xS2-Ao}5DWZV4M{!RVQw+aq_{1CBor16crLbIpx z4xSOe-3pR_i zgtZd~&Al6F?woBEGlJ%-L5MZ6r%)GjcNymw3_DBN4&& z)lN>|W|Ou3{N~QN&~yK*_Vt&S+b-zq>Of3NQzS0mW}G-TR~G-xWycn99rEu881^O+ z{Mk>M{UNrdeT{Tos85>H?fbWmZBkfnTjz}9$79AWhoJDN+1mTG{fs^S@YYd}YL6(0 z>6-W-;Ymp<&%6TBJ=x~FDWB@=qDPU#UGImvZ<8KnZ#xf|!bN(@Ca}Q}9l(7#kNeVri2K%gc=AX=J zvTsUo#ZN5PKfO$5-`2eKIqm)YSXz>OlKl;ay(KSJ?K=NBLd9pk=lFkHU%f+~>b!te z6!r+S?*0zMU zl#l~6IFAvDAxd6=`P6#5djokkf+c%sh@HpaH4(_k5$`N1uykc!M`bieSdzHXG|Tn! zoFKw}GL^mwHO`jgfhCb?AMpdC_!9!6XEZHuJ{^uF9PK}_oD9r-24;MrAda9ACky7i z0FxH4|C1FD=DiD+9Nz4HMqqOvgPBNb`#{e&2J~Bl1YN%!7cWYr+OvDHZm}{rL zM5L{!|yli}B{M$2i_ z!^s87@0pOoqN)giLMoY(*NC*ne|1=Jl6s4E7EFN9L*%~+?{8A8-ish+ zO{)Q9{Yo!sT8Pk-&&dfVJ`Zes25M^LgSZ2EujvpjXeFqnK=iwk>^3^L1yXx&5PG(h zt;U#>cl(rqlJ*R6@zwy_G4?K-E*d!TX|T8}5Y$ox>bL3oy+!AZ$u&v`VlJ>~Giljm z0F7HQSg7hG(+el>G^6i=4j4>jtU-7?JoaN6w$MG0GGj|jk&YFnt>d1go2}tqjvOr` z9NvzVf+<1-gn+h(Zx1NfX5BquMYK``8s3wf-c$Tl+!4zlS!>h0A!~0nCcY)xb+~8# zB1^TlZR|M4`tr5oBO~ad_`M2H#%hdDXy5f#*3&A(D`1Sd+S=!Z0dCmVH+%1yg-))1 zTe5>`=ssA#uSd>x%;^lV+bmF0lgYy>`twlplpf@p7n}@% z2ke1Q!4g;y4FxbLBqOX1;)}u@u*L-Hp}mUTLiQ}y{i>=)#T4lp9a+!xGGS$j(1WZ? zH}IR*&X&2k$0{TM0xt&+MdxjWa}(s6$XZOU&9EE|4t<%c1wQP%@MGyK4!E ztmJ)i2Cu|c{8?ePEoROrg>*4JF*6+Ec)nyrfgI~T$dk#i4T20PYPkn9kkLzPmw+gH zc=hd~tfF(>Rr5FlTW$(L7glKmkhEU~q%TEfFNo!~(dAub&jV%R0eMFs^GxH8Kt$#3 zJaCkgWz~KAxmK99#T3#n!I=nBf{xn-?$L#N5Ta`^Uyl?5HyoEju)b?KRX}-om}B-2 z$M*lOH;a^xyCW!&dC=9N_2V|*$q8Rfev<^4;FmK9ue9S7DCvAq65tGy zD((DO;W^0keXFAXgEKIyV%iFG20b7L2vm)*B2MiXL+g-`=0}a;TjcO)1HKtNm%r)ES zAomg<+vrc(&J96T3dPWOpv-+A*0W`WH}?6vMi`U`o+Z47oFGkGE91THnX)4UxOcxG z%wHL#UF|FwtvB~fPRmav-B?5Sc1Oe5nmb%is%;&96gvcPw3Bm5bkLtOp4$eTJuOsA z(-!tbp7LGWyLv+L8TGTnQMQTpRKU=wUhA32j-mESSIH_$p zbpupdql9x)yg=#1_FNkexp57)amFm46oQdWxD7#cQsg{{(eLnQgZo)6dpVp|UxKfU z^Zw{F^v$q<0(m4O>blc@Gu7u&^yQ(IK!})SRnKH8k7(Z924h1lo2slx3rb!U)V*|B z5#=-0|NgMLmnY|4_oPrrUGstX{{Z$@YyiCF<2PvFf5#_a*C6noPtd19@C%<%c!SV4 zKH-!G;T%4Zk_M3)KG9~g2GMRlv7rXBDL(O^4dUy368jAj=X{cX8YH27QmBnmxBzL= zM(H;I8Ky=VE`Y3HqpT!APO(w$EkNF&QT`o3!LCu^JwVZ?QSl2vDZEkX8$dawQ8@>o zQegW3Qk?(!mpI?q+Wddw=DUl3x%u?;^#8@p$3!ki{;T2~2F+pIeDDI$bq#>&^S|7D zSNDH6Hy`fno2>mGaP$B5y!ijjol_63(++I??~9CQ|KrYkTy5OkJpW6baS5~)QPf|; zs7rz<3;d`sdfp>S|1W3`L+1*SPYR(A{}pkrWtR4zxw)R6-v5-FZ{X(si<^(KBK@l^ z4rW074{rWH%!}v0!YCw!|IdZ-7+7H(4Ivm6ApjXcjNR-1o)?F4b3Piq{}AV|U%&qU zhd6Kh@AKm3DkD3U>-#Jyq-rbz=X_mZn&$7CeUqpzZ~vffB92E(H|%I zEP0CYq2!$}5=rW^?+iTkhUD*4uaz%nJmGT;+RWUcuE^3np~$FWs1`B^pX@dw=taV) zrEy>ALZyy4G_fRJ=9%z_xNgC?fE4=p&1jf2|HhXl#iNOkBK0>pPGqg@0M{|JAvNGH z5T8*0>V8TJgXkl@!~mKy-ggDsGWrBGGZ~1)%SA#VvZnU_@+TCt16%hghC6Brbl}&w zlGBxcljC=(k#X;gx3JP5$+k;m-Ekt~!&^G_rFkANS`Tt^q-jF==J=bX7_TT>aRCDn zhFfK&>0VYD+4uKpd{fU*oppFEZNay}u^6a!2u-c8-Xv9;v&1JfeG=G~a2-X1t8tZx zoQ9ux*tV-{qe^sg^UN2R4lclGPInu@gOQj%n@i1tVv(OzvIr#G#%^o;DyIk-{p6XF zWqTFx4J$C@s#E$l6R_gcf7xOIawa?iyR&b$$9v~`S>*c$dob2(2{3d|6932~z;rot z;ECH{Ol7_lp`XCpfhm4_yv71@kJ>Mf2SSkH=Tw6uX}}Msn2&o1n){&MiG+NoNB_(+ zDYSUZSe`o8cDyzW>Cv;!$@mJh>KEURDFlsbXP&OdWS3jL3fA}$yC*zyQ$|e0z(9m^ zaxid|3Gw1AAJrZj^;;4Hm!2Z8$B}(^eW#8^5Y7p@{VfHJ8tZO72oumE6NMY{C*McG zmq%I_Gtp{#U`vN`jaT4kAAZnx5H}4&D=U5h62!OzKLT7i*hYBmCbhkZBNxPANBaIr zXPdv`#EzdZM6hhH>4gytmEuDt8W27=iqY1^6CBDxtmWC#Mx17o6q&nyg$!3X-uVan zGkLLFe{|QGOeijq2pr4cP);R+a*y3tM)5C&Z{496v-8~7rH{x;;)wS-DdfbBXl-#a zM0aby1%`X`>E8a71S{nB4cIgX6nll zY)CCRucf~aO-$foa{(fH{DM%(B$tsc@!(N^w zRpvIH89J_%e(ckGZzFC0G4kAq+5UdT4!{&1@6-9gC{#E3+FY@p{VPs-JQhL>X38Qd=GL32ki(cVHSv0l;KqaxxgUS!u^Us&=$?c*r>9El z+hXOQhamJWqvD0~%i5uHN+Pg1e#)nVwa1BRSd7y;6XnO~iMJDxdrk7a838dWR|!sq zKm@C##xyM+8q{Ev);)M^dtFToFNWRQON>R|e45VM z@cDwc{`7%w<64+*p+xp!YK)ZS+MpUY_9DB?LU!f|f%mA&aCT7qM#b!fe23?7rJ;q& z0O;go2zpzxn+*C;x3O-~SFgFBM5-%WI9Ga@t%os=JKx@z(Ry5l=t-t$#IW>F$k?gO ziSd3{EH*<>xFbu%%8D#frBrDzq9yX)4`Ss1;3HbK8O~S8O;xtZFDcHhgsdXaW0$S@ zeLbX#jnIM_a6_m3U>ZRgoB(0E^j7GqVsL}6g;OPJ>h#tt{UA8LiQ{(%rpBp@P*mF@ z$hhlg)~JK6KyHz=-wklb)y3GUZIeUp28AZ;;(W%psUGi!q;Trv|GyFE+R{?U?3zKz zRu6Mx3UEYjQjXf|a2dH8H!=8b!P@N)DB1c=mG8tH4Z1%qws`X(I8QiX!}8+v=5RGG z*v1wV5HK+rs3Q9Fi7lzY(kLT;Lzen!+L_2Np$o63X7M>=+((oZoMtPd=TpPz$CZ6K zDKuwnC(m}1;&c!k@%Z!Er-~mKx0601zhQatf**hL;;8Vjym(G5EHCcc^*1k`5CO}J z`}+RPi(iGo^5R0afAivR!(e&wR_nicai*|;#JT0)yg2l4UcA-(uQ>ntH!m)1`d6IS zgu=vmo6%o!9v%u4=OPAw#reBXm^g3K{VUD||B7=F?Z4t2_pdl_fBRRQ@Bhtm(> z=iMPNao(=-SDdGWz{I(z(qD1@J_IJtJLLb0bHxytI2V)sE6(5i73UpN)Lb8jbh<91 zy2bXeYwjm7yI}HN^gy=e&rHJFS+Qj2icZa^X4vYZBW(3?g7a}Xy7LzFM+CO|c(Z!7 zcGLy!oDb&mFM+K-s=!tsW2>KbF+1-k{|H|f)Lb3vtnV#$ca1mHd`^L_KC(h3pm*w= zFTbNZp7#C-!Db(S-!!amoqg%<-{$%f4x4?%fXzN)S3{pMJD@N7@8N{(FmhQmbEW-0 zz>(k~YfYPd{tkylhFp3JMC%C@*0%W!4*Ufo&Vi}%i=b;aWp8}stqUB+JDkdmK;Q3h zsnj@|7hktv@T3$7TQG)PU<)l_r%Jt7B|)y_#*re!NzGL-mWIE+2vWKW+O;N4cKfO^ zj5CKqir$04Wf;mejKSv%`ydRVrBI<^46z7cDqIK>omr z38mp|LFhid;jlb8(RBD{W*j3WAevk7*Mm^G2%w~IgiTAN$p`e@mkdIp8PW~e=-V!%OhJEGx?Jo7(nNqAq>9?1= zZ*Z^T5z4-$#mDNUq9dloW3as=Puqw!i-^bn_?_$@aZbq+pTZpnG>kK#K|UzO zz0Qr`+l)zyAgt{9cJ3zcH4}+~jx&P>MBl(Bg5G1>`vOtpqqbXO4T9hlOJit-2pb~^ zwR*mt)CPT!4qaycp-d97mKv=g5VnmLWd@H-wG=Uc7sZqJgTIvkH88RnEzwgNp7S8m z;tr^T76YkGPy&SxFyr8YA_i;2NQVg%S_rL|aWqPCY+og47=@1BYx znlzhQVY>!pg(en-W^}vOW$E@->CR=_?vG-iy z(pcw&Z5JY0e;Uy)quWC6-A07J7%yg_Kxwnh6ta=6vI$EvH}A9X!?O<~ZO%rr4M=jj zq;sxXvoFfBFO6(&9c-RIet1m#a`!Q3<5jNCZH{hOZbn{iT5qn_UM_`Q?vr5dOIgnS z$GlVJyeEe|q+fZrC3)zhdBjn9Z&>qiS@S7W^086#QhM`~HuKd{3KD4wen=On*cN;b zD)^RHpg34SXO|B}%}0&Orzy`zz$kpXS0GK~+#0wAa`!H;NI>I<oJ!%Y(#XJL=4ASG!#H4 zQCc=pZx$054hSJnJ0ag=_C9p9Zb&5mQ6!J+(V8EVO483;{McDKno!<}P!Tg%_OXcK zxJr=1P1%G{OO#Nj;*}m7p#dhL5hVXr2GGRm)w^Q?%P|7$#}8&>mFlWBs(#Kk?F23v z1n)6leTXLTa3b)6kooxeI5|0gR3-S#M({RZL;RAYkQ zAd27QS5l{H-P~SM7F}E6RM(o}*zV`si|Gi)#2-4w8xbW%m4Z*%NH0W3Mz*oRr0z5~ zdQUtY`ffN~(;H4gDXbDo9jv_H)pMVbus+=@1L}oBfFy8zH*9_T#oayj-(L%Z0j6L9fAC!@IyHI-Zwwf= z8Z1TGkNFXuU9Fpw-BnYn504UvQ48L_NR7J6X<4V$2mB5 zCYr|XDaEey1!7M3l>3G`v-DCs4{RyG8$N{+n*!ZqBE}7Y7#oAvY&dTIu4~cgn`50? zB*VGN!&(aP8PJh5ORU;Xia^na;rN*5A7UfXbsgA2BOE0on7tz``y=S^qYO-=-|R*N z+8c^ja+5MgP1;5)SBk2iMiWgs>is?HOvju)jkUzIHFk_emXCFb{mqMaK*svT%E12P zLFwb8Vx{9N{!=ySQx7M^CopmT)J_hW3i~|;pVcs;GTo5bieWa6wL1NI zbP6w)7)5+0n{9@~jF>oUrVw+A^0XQz&Z$plXite?;=JW?n)!5swR2XIbe6M|i0Snl z2&y&!|JSXHbC!$Wow>r19GAor;E-XGzZ!)joQm>RX&p9@y#?heqJP)8)(B^2= zFk8^)m^Z8?PyZ%L+3KiQ=;fpO>jI zm(!np0#=uaESGaRYIDSY^^YwVW4FV^d7jy?%B&HXIM1Sl)W05WG=mg%{A#J{fQj?% z6-d|WWZUZ%44Pm4&xC`YS2V>}M#U#!wegYF6%qW^S(nDCQ^>s8s*>Mod)DeND97UX z^C}FT+q_=;CBC*3ySQhzdXTl|)VVghx^{NDc(J;2DZU<@wS4D7fX@BiKtK>R%WZ88 zV?}c#Q`ja-3>%{wJ)&cslP4LOY7>RZCN+11qnzZId>jpByH| zYq4K*ZbmKv#aXsUyD(x+w_f2Rv#f1;VF8IYwrF2AdAsl_&A0Iah{+qkoDm2>ZVy5i#vV+2!nE9eKM=AvUkskXm#9mK31 z#JwEEQyu=0I7~D@Ob$3q%|1-;I?P-<%zin{r8>%&I4U$hDh@a*%|0scI;vbds(v}D zr8=&cIBqmQ1_d0qWFNP69e1o9cV&CMNyY8^cO5<)ck(wxK79fUk)Pq6PH~@3O=B%i zVvW~g{i?=Vsm2<gPTKYo39ru@0!Pdf~86UNF0-F=2V}jvmZ*&GR<5b6AM{ zAr7;}4YSz-6Yd>mlN2VBBqoX^W_|nx`Ws9vTudBX%o@Dk|K!Mjhr6MLS)hg1{{AON z{`)K5b?sokl{`vzPsu~mpX2dnuQMA`loHcKpYEc~HZyaiGU@da~SA=ao!|5`LIM3}sM+9PJN!Vtg8vM6DSGd00HzYF??3?nfL|R!Aa& zHhuCBdiAf$%8W%S{7$ZYBau2K8rl8<4@fHZrJDJ2u`()Ax-7-Tndu_L#Kh&gdU|EX zNqWbu4ztCdixjGU89FUin}L%BOaxq9nmb_$a#vV_{N!H=@~-W{?}(<=nZh3XSOu~v z8g(LrM~mXNq-kcNqkj|RnMPN(lUd?lP+l8f+s_uM=O|mM`okV)(2h*h5z)&?Bjn-X zNxk$;<6=J_6v#?Q>{#RC-%Qit68@IL|0b&62#ymmFQiit*~|T|AnY1LHzc&N@jF&< z1+E^O24Yb#%)h8fHv&jjL&Rp95&~oKjpqKq;vMYK#^M-2D^TU`xuaF%8obWO2d%ra_hb(6bpvfkoX2Ckw@-rk;UE!ONY2Lnx)0 zRdT6?M^UwofF*2z8;Lsj60a>o2vn%^bcr;DX!HoxEP_Ib%=M&0iS_OC^hsSiZ{W?| z1m^xkqm8FtLT9wkg-40=>Vd~eKFvk^8zeWzlWNH|#^N5PM#KiKS|BoXnf=ou&o^b7 zgtf@MK3k-$zFB*g&JDs4Va^LB|HPah$*QuIA49NNTJTMVysR*RO3R@r**waDF~fD# zp(Hy1!?83!PQ|gTI6LYnv8-HWx4f$H=%~V>kGvwieo_T9qv_WyN_ER#`Ehl}?a^^f z4+`5!Z9j?ANu3vcMrHk&sjP@YQHpJwLrG2;Io}c#I2JAdai5D7Tn{9S6WUIf)@Zd! z_kg_sEp5ONwQStRAv^CQ{3doat;0onyAnJ_a(_^;EAe!l5ZZ0{f~YBlfGwvfjq*A~ zQw9UE4i79Turn=-C%+ObM|h>AB~M}&qBThF(yygRwRwTBBp60Nt3;m!oK*(oCjJ=Z zt?YM?;b^@kP~#Z^G++W2R=%nWZuZM)h*Z@Qz7_Y`n46-6BTm#r#F5w4Qg|JzJ4?>o zM1-Qoe>$(DDbKK=tE*?Tpl4`Pw4iTlwv=S>E{HhU(E7VxvXNb05=m2KD2L03F_R4f z($?`%PA~Die~dGl6&?+>91RxBS6OQJ5NM=kKP}k|nxa@eT6{zyJ_8TBif-Qzr4}T{ zgj95Os;~t0gAgW(-$G0ZKb1)m$pb+ zhC?Yl>!JlO@=3cwz+8be;TCAtsUFk{Jcsr%*3@*bMjOGrTEW(oyF!X0i{Bk|GSppM zgPT^b8L7I_<3uBLGPmjNgeN}Y@aFTqwle&;J`Q5@??gM&1Ldhtzpk?H#!Dprz?*J7 zT;;%ZT1g>04g?W2=E?vLq=Vz9Ls&iYuv|)IKf`H7DCp)B7TL@D*v~{CQ5U?5JyUR> zo{9T(T|kXprsOQ7{bRnTkWn1UqM}nioAmcBW9X);h|d4+p|+b{}=jqQd0(+Hw>P6XCBN?uxieO5mCYYHZxR;RU0l@H;|cO zL&YSjCzbQU6x%-+*Ns*BlisvB*?evnJ%KJBf?5b79}PxATVH4=ci7w5@_x5c+30(2 zYZ-c4gKuQ@^l_Cyby!I#|Dc{_urdk&GuI#XP>s2EW6 zWx>&J9ExoT9p;z*R26SUM`1m+INT^*@AAH&aD`J@P<^W^!T-vHSz1*EoTr@><;1XU zaoA#{66apkxxy*ue?KH3xfB3Qha+~B(} zmwmZ-DCVQ`?bBrkm3R|O;eR@B-+HvW2U2T(Ek4gZ*0Fyif0({g_6#`fe5WATCi(4_ zs}M?8ri@yujo3z1jFHKL=<=%?{0KG+$($_td!Uvrk~TECFOQqOkWrEcYVY*-eyg2B^+rlm-tqbsQQnF5!6P-Rq-pO%{@q;Z zi^zi(G!_uZr0xK3^rQL`9;e4$Qf?~Fl9(L07x-Vn~pO`u}Zx1eu`S@(I<<)mE~n5D|M6vuQc5>b&pK_Pd;)GW$HP=jb?Y4)s^tQYJao8 zC<#pL$1TwP?Mm*9 zu3j3xV?Mq_zN(}IhT#vbg3-ce7~R4R!WQ)nnPYswE#djYh8)Dkjq>7U8bE<4VC^?! zk#%*kA7^PoV_8AtQ9a;fwC&`Tl*Uz?vT#o=A%8tx4J^d1r_-))&4uAFYLp;)U*7&O z%m1|1)Op3oIwz z=;~^;1!;Bbe4OeUzVbAs^Y}OLd=6#{$f(G>Z(auXd3z4|0I@lU*cq-m84)G8Ls|xC zC0PB~`8rxgW`+10DfSQISVVgi>v`E{(yrhk;D8pm39%exoY)e&bJf;nuIk$tnHUFqSsbU zH=pp*RFpXYe^wTIdegna48 z`vBt;@rr9~mFsl$;lcG06yV5;`t5e!nCJ|^PJPgI{R9Hvl#J35TdOd86+o0j04ysQ z+C}K5wI$WSJ;=GV{qYP1#f*RBInvOZHuE(ZsLXbHCwO{~ha!~Sa225D^Ay4=}su)a}@Qcl%zM|$$Aw|Z1z8ndF6zLO5n`O!qClYVIN zYK$3aoQh%`+&GQd+1Ibe8(J~MVyr%4wg2xHHUqhlX{on2x>-PeM>Kt-&D zd36RM?A^YB#-TyAN`E5o;FjWcbmbR0*|E_=A{+2zV%JoNY-plv*m&1$h!S~{(zyr6 zVr6Tz|HS27>+%jC^XGOsWu7?3TDYJyPQj zu5{n1e0Gb*qklIN%IG^{1yoK2yE(D?)iwu@(Mg;hI1(Z0mjS8}&3T6&h?{@UqJj+a zxTf;_Qp_Hs3JDYXZBH1{{8rT1c4^ZHaA`dDB zwbjiDIyfr8qV+Us&V?COOT)`h;||X6D7c4+FQF(dw=%}|uZ|^Ce$O9_Yahg*p2y_Y z`>NP6YB>)EDIT~>=%JMp^mp+44+*sC327>2;B|`J=!u=E#R6v_Ie0UcByuw8BC?7z za>Nrw+{%iQ6ObKA@J*j1v#8ptes$UeGt^qR89qtsI%NW7-ze*iiRu$iqWAS1~8S&93q8u~O-VleQ4%sZgovYW>x3?Fxf2nnRxA zixM*QWrhrMt8Y>^1tMbvSK84|#lxOf<3pjPyacwE7LL#wH`CC8zz}}u@>HGHQpWVM z(ztQITIRf(+1ijemA<5;cAl0trIr46vgDSf`ip|GeT+I(Mc=3HQr#^)WR|LIH)bW# zVcRo)VmI)R0&yzI8yL!8&-EAX_BUBgS_p{!sW-UKn1opRw>>!y1cVNZf=s$kO(gmU zdZ|FO6nwiqTjGmzs99Y^oUX4WM=m&J89A%_lOe&8{_R zTP1Qk()c2-Hj7OBMMUJUO&#nF5TO;Zi&;8s8_T0<2JLMCq;z{jNBOOn1S&=c)+`V+G>7YT5z#GI7|%C3ZNK{7}>O<$JH@K(&x)Z-kj^6}QKnT^RN zI=3B%4Jx!tJ&nui)em3xXz;_1^DJs^{C zYZ@ReJW70kQ*Rk0Xp8ejFSJ9L-|=7xevdF;)+FO#HAYFZVN1f$>d&lF?3t3Tu-p!s zd3>feUHJ-l&FVnQyy|%2XiZL&3d~Ak(3opyrL9v>V#2*=?i~uUV-fpM4!S3{e^|55 zO%cl*FexHj>VlsV$D5MS((O~)r(oKI2!5HH+u1?PpBrvp^2D{Q;yDw?cTl}mMgOu} zOFA8(eH>t@*QjlTkC%_@Wz>?QmNwo?fFKevuqJxquu8EI+h?XtdLqqqvK6yuqa{a9 zYPZ*KMc=N!AH7a(Y{y*gce8n!(ho5bk}+aizwZ6%J+h+xQ44@qjkd$ZHCYj z78y}f9w`@i&^OgjDMO(!R(&g;d{pCteWJW*hin`yEcK-H(XZsPn_mtvTL2_q??>-i5 z2W8k9(M`BNdGTxC1`QA*6nYTCY85GL^$p@+ z!L1+h3VhmeBZB;Ub(^j3g#KO$ojsslDSiaP@3~ecb)VS$a1+EyDvRBw;lU9Pdipj>oCQA z?EhmIvtYNp@C@(v5kiXi^!|@!>lfSe4z&y6E3J>-H$?j3AD?tLwsfq|dl3#>8m%5! z>;~7b%J!a2ZS2_g&$~qKIB5N?cxRJ8g45BRfIq-LzhB?ATW5z|3|CI3Z+HnI?th$g z`TfHJP+(Equp@4=@9|MJAMuUb?#SP9OJZ^8xFx&hzUo>__z6vogU#id0DzF!?d0H+ zawv{MCV|QBifSZ@L8r#?@QPXv+Nn?fvs35y97!ZNrxo-*3lnC1EPJPJJ(j|*1=f65 zQ#2ThRmy*I#Ac=+3=apsU92=V@4wovKQ61NYjLaY4?SLBHgI#8&$0T1zphtvcNVip zfN!c>i2!MJn?Jh9mIy<|vsVnC`aKjxgMw`N4)eFjuNRlQ*?rEeDgV2;g+ zRXe9a<%}f{>)BKbP(%8vtJh%Q&eJ#%Zx0CbV=wsr7q@*%pK{?1$?HfO2caNPI)|1L9dI&Y)ZrczD<{2G=#Uh zfFO9xs!aggn+xcg2eR`p=+7<_Q+KQ=^RW9MR{&z3?*eXOtq!5(4Ej}bqOWzd3}p< zXtG}G1RcS=KIPeR?nP@}^VmUa+3<&hChJWC6MV2}np0v(%yUx`SmhFGQUq2&oGus? zLAGvqB7e3X!eL1bVVci)vWNe^^tm$b-Dt$@gaKF*-&1*xe5M< zVZ)Ra0kh9x{|}}w{n$TEL*9k`G>`s(kZPHvhyTX<*UNOO&F={571Dz2ltKHl=D)o7 zT3DKM+XDikOHZ>JlozKTOn0BkCMWS+NDj>Kvhdg^@!pQNA@wyX8eGRe>!y8=f3s`@ z|K;(rG59M0OhyJ>42b(3gv$RWI|O&Zlst^hc4+J0vh$oMwh`If7`~$e@$bU0&>!|6 zH-i82Q_0$Yi*w^3dYV-0oMM_Zl{TcpbPrfF+D!3-;leB_0K)-RC}Ct#PBcIAAw`1v z%257K`;p?p_yC3@s{CJ(_S7ZLJtd`8z7&j*^5095r4_jsM-KGe$k6OOF2Bs0`B-oI z*Far~R*Zv{gTd0lLSr3yg=_M$;i0}x>pC85AZ8!gn-AZ_-zLO<6P2XEt(FyFOQ^!D zsS0KBCr3qUsQSCoiFrJ%vW=CL-PB7bBR8V{>nf>;%z{CS96`ILCb`0&nu(5aRL?6r zrM_;D*)>(c=q!OCeeZ-d@ZA_Avinc%zbl>eeHIj)Z$>o19I4BSHo~)r)6oT7g>vKe z`tIKr`wGzOipLk+C=u6hz`Wh>lwD(c!*-cu&?bD8Jqk4bRh%oo?cvO1{rOK`d>tq2 zVQydeVOiztE6#5iyaQ1rh(0C^;SCv#Rt@TsAHTFXOiqYor>o zwPr3+y{Tu}@$`2x%sg_r-?B3D*l;OxROo`x z8KB3f^W|>!rN%D|y1o2T(BeGO600g;D&c=R%x*Gc@$iu_I&stC+oY~UUqA`@Lul5a z$cKen!WJei#Gsy7G8ZsjWyT$%E9An*PWpIZ{thQcBivRp&Pd9V%7J3U7p6ZsKi`VA zH3u?Qqg%_ot!N_%m-{x*dLX+vK1N1?koW_o48ORNy|-oz>BG|;tAR2+x#`e&wk9ov~TdEO!S}d{2vBA*LTJD2^ITYC5+1n4G z=Qk&u^%#~U;mlZWu~p{uTFhJHX^jwYIdV>KL#)>nC(!S>7E02@@_hfyz~33Q!kYU4GLZ?qosL7U%A4S)ht+85O6JE5 zVnx$YwDIjuvv(=Hc{F`o1#@gMQSPN^ti}weA%kjYqf2Sx3{^~?U5zp7&lWOf?$$Y zsxfoi&saFWaq{RE#}9_Y_7fVia7gS&jU7+hN3s#&8+FYuH@$SPJR>5Iaozw*5;7RH zaCLZ&xO@zcVxXD6*sm3?;16q?ZGyI}SP606v^NByxy+|_8bs8{O~3{`RVPT0kpKt; z=4oKfKK+PT2HK`+>>3kt_UM#cJ3;u_x&h_IXIs~qin~Ovj9~mqfg6wDPo38<-#^1W zQ@xUUcdNO%1kt8bp?qwTBSpWAfEMR6$xZ!2L6^~=EO&?(!v{ss1LEA%cc}^ZdZj9^ zl4}L2Xd3TF&0?=o2HUo|v+l=Tg|Abt+x8hJeR=~)Z!#e12T~B;(a=nn{HL}BBNc6#y|6i8J^`jFNeku{?n!(3Y*Z01u=b3-rsQ8`V zzCNu$FPc&YzNp7%J+Hb8-Q()KZl-QLZxKOx@%PO)qi4^38ecC#AN}t@q+c$-LLR}0 zf;aKMzTAF)zjoZ|{q(Z_`Fs-ceD}k@O(*l~%QwF@h7Abh)?^gs_Yl_R3(0?3agI)o zg`bT@3L(d)$;M_O$KlDw5hll#&c;Xa5l=d-Wf1-u9G9iIjBMb)m~*alcw8uR-bifvPH%uXuQd3eJSW7 zbMVB;U`2aHT(X(Zf*EO6ad$z2xDp%}!NiXyG*IRIt;F9L9oM`UFPPO=lKn3)ZqcnL zO8lC`PDLT33yskwINm~)^I)cxw7)UBs02G-@CW=}Y2pCRD+zu=$PP_S8vC17YVlll zid+tk9qFVU5k3j_H@WZC4TM%KWK=~vwu0GpDMZF{rSB<4k$0KIH>uNi-oXNR`QiGM z#Aw)7VV5Wb?18w?y~3EpxOCf6u&c88JH&2%vMG78IaHn9W+E4qfH4dBdkGOobNG{B z5mi7Zi74@vh01F$&E2+ObQ>DG+h82M=tDGu$nqZLpq<{ z4G2%wD@YN*302M=f!eRZ+HUz0%9gMc0c`pJnI#G%>s8r134K^mA$?dG+*}h_V%V`> z!A%1NXGxRSJrSUFJKheTmn1uSp0rD@rQ4dBy(GJFkhBXVUuhv%sUuC(OVZpKXzDB} zMF=OuL~Z}Yz&0|(&?{d$-P-=O*S;qoHg?wvR#eK~dVpHA!-pI;WQS#aR|MaXUA!B1 zh+GD^FM_%+Yj4>;48_j(WH#X(?Iqo|;pX=WEMP_5j;LjB%w;DG9PEMa{5G!kA)Mhm zZg+6r&IUeVA=ob$Uq}esmxERk09R7cCk7jl%-ncq+x7?> zF|dJ>y=2tUfyk;=yI3GwPAX);S^@m2N5ULzK254R9c^ujjRTsn>eNBkpcV*7TjJZ0rTSSC?+WCmAz z8=10wgNZbF7psm32^vF7sn>lN4~zDG+H7B79?iZ87qtxEj*Yy5zi%IGUp7+EKQDHA5$^czMAae%h3K!?v18XJ>q|WTh9&HMIfrVFTf0c7lF<4De zc5w;)6nn~?qsSck(1OBj9-G7tdzl*ugMW@g;EK6Z!*PW@u%#3YN~p3eY19ApGEDf}v%;by>o z^NYr5qTo8V;_~oJ%9^S#wVaczSXMnBdPFP|@UeZ^`MzgYDWUQq2c$j`%&4C`2HsT; zN>_o+Z$~TITZiT|du(_6fQi!9uQ`^^BY#Ms?$17dCm})j=_skimB|-KhD<@ula5Ojta8>%;vPaN zP67OCz?yQ&m%}bn#7>Jq`A*on4$W~|k zTndeK3Y}a6h`|4~c3ukcfNJM45aoY@=OGZa0Eot4^Ze!I;r{;m^73$he`|Ad2V^#L z_&=!g)h%9VlMeOI_vTli1^Vpl?0+cGZwC3nOaB7T|LK`So%5zU?thx+Q2ZQ9pbwvM z^W|K2(O--YL#S1Bx)84Tyyv}bwLCxsNpC1gis?++_U_G<}u z8{TcV{AcQ%aAt;RYMx|l`Tg)3`M}nHU2^^_GCbbL+r`EG|9x-1%!e@l59hp1fc8Je z=0W$;0eAn8!nvAJ+JElN|HYe27XO=VF2oZfBK$Ad9E{TNA7Jx;Uz-0DHm@UssUiHI zY;$O7o8#4 zpW)&DQ+uxc|G)Np<)7_2d18(zr|{&Ev3PL^v^}ST$KlJCbR-q|dLQ(`>|pm6ywMdb zbMoBWWMhT$OmQ7uNuEE6hMf8OV})8|2V#n28SvtsAKEVD03m=5@A_;*?%+|v#y0j% zM^Xj88CT8t%ClBNX0zJK{(OBQlNb~37t2=len~Cd3`)(`ApyL3#UU{neVHYenDpVv zR!S7C7RBvwYMi7RhN%(_g}iY$4M%M_*tS5&4#^3G*5#sX_xHhBqRN{~7$PI8>f541 z;3W*?@)Vm+l=^^6gu?Be4=l{=9qGDeVr@0=rLPEhN|!^cErMc zK%{`yF{IiGo9m@0rvO6eGFblgo8Ho}sT?NECIgBxRQ6{;7oZ+OM~ONf;bnj2u`-a7 zIZoL6!`Mwd{76sac-UU``wepKdUZgK!Kxr#O9RGO7IP|7XU`3Pgv31uSH!2+*BuOw z8{;>k)vs-BDsb8<{%$>}i%x&E8XF$piR8~i4l>%2*#K2+pCvBe#Q=UV5XD$PW-mq2 zWYx@T868sHd_Ph6RolGUwpSMdxL%t?<3Gx)!oFQ%oWjY{Vu<^FT`Z_NSDAH4=|smY>k{5M7^#0d@tRVLxdmmYfirW$!{6=>oB1AUmd4{NKRAh^ChUzn$C zp7`wVUFCvXX&Xjlw?fW<8Rsh0s)oNG_lRozoA2SwMpYhfB4eKqY&yfZeq-BlphHZ* zkspqq8P;E;K7ZMNcgfu4)yrw{$a9CmNl)eY_$#)t>pC-#t0K6dCIcx#CW4l0^UHcv zHfjW{@XpwGvaDfJG3B3yN9mP@$pKlg5I%1%^Q1_(##&-P*{&D>z@$P)oa6dvCK=ik zATpouE7bfGb{`Tv@_GO@!*a z(DW2B6FW60WU(C4j-jqYp8-W{NsCW;rh=DbeeiQfh;%qXWPw)Yv3`!p93cbEV-J@< zhoU2TG0g`8pH*X!^a4=W!g^-80m!q{*~uJ*fL~@cQ7=0`C9qw_9cd&*Mh=LA%H~Hj z`CXDRfw}$xda^=DeF-lIAju_J2qrDv$M0_r_lUn9j@Xliq^nI$RwoQkh2>bLBHDpT zLV3yphX#~kU9*lbEy)NZ&18{^Fb`O6Gmhm@zTQ5JQE3iB@$b=GGCVtRz@4mR#Ekws zrgd@UB}wgx+TT@NmeTFHlklQjaqk7!j{prA7FS_X9zgr+-)wp1FB0F-$4j(DVAXCEQEru_;`c;%Uvs}`Nb3d7Oih9?yKa>$yt(mI`8@E1uY!+lXx_&1t*}#`{GUFeT zM)htMsf-=hIUEb#uO1g_CuvaEeijWw zNh9iHRl+8J+mw1rT*`AgvM8zU;v%vjDH{^d$TwfS)%UzNsw0l?mgwRTkc=hy=kfo` z_Wb`;J1@@(Krr2eEdbS5HJ1edPy+x%q@sWzp%ZJ3W~g@VRg-#pVlVIkFf-u=C>uYe zW87R?PT{F%VK= zLAwZQ#b4PX4d_Iha1q8QS{*X>>ZPrihc_exB;+;?H1dbW_^oD>K$?cWzq^W0GYq4K zh%}F!r(7ks8k#YGZ5}hiy-o$K3UYTgPXs1jXFL&e3PGBuXmM_`iPqSqL|SHW5^wSa zGT4;9w#-4WZ;K6#ShYG^7LF5c%l$}Lj36ybi`aM7X=_YYBCRXE33v6a8H`R}TURTw z|1^V)7(6>$*V7XIv_Fy1e}=Sfe#5@+CR(Qr6=~acPq^ z23AOT822Nk%7C;T@M1qsr>#@ui?kn6COpo!W|EhGZ9l=lep&_@lht>=oVZs$Ekd>P zQmA&W0@cpHL$z~=;8kMh!yYH(YU1nbZZ7M~AXGb#f@DYUi9#?fl*is+}`JwR7*k+Bv08P|5&61pv>2*?E)Uo|)>4o%q>Eio?G zr2vq)iMBr#xQn$IoC*zE3SF;qu}%RbsfI=BhOJ|U8bZhgo!>^xP~)JO!lZad{ICtD4+Q$j ze*65Bz;`JE)Ftwf2PxP)vXIP1r7FDa0L@hwPZ={Jo({G09vh_!wdrS6b5R5xR%Ff) z(7PLuqZ|6A$QrpTw2&?wyczDC0wE{?=L^pp zvXM zMWXvR?fgR`7ky$fTU-!i2%3=pLpy&+6!l4H35bh4h}DIGM=Qp-QH^4AjcW1!-cA<_ z&?87ch*<$7n=}A+0uuMhV#e>I-=xOsWdj`Fey_{JSqaD4;)`C63v-JHbToaFUbapO zNJQ3)lsrW1x5ZOd4XJsH>h}Rhxfxa02ixUCw1yq@+c#Q{H*#od@{o6A44qBDQ0&oW zvf&nN4`xI%=1;EpD1j}SwS$ntxSyZQU|fBWotLdqF~fu3gnBGc9aV*|2c#O26D6`C zsa5^rb&dL-ip}#gO|dJ<113086-lux+S3{)Q52~=0N6KdjXIS+`7Wa~J6$g{Xeck^ z%RjX9&%jJh2-RQhoNmwtjAVCsD0Dn5bh>PNKJ0c-?0#v-dppebC)M_$ne9oB@x{&- zBF6~xNCC%h3oq|}9TE81>o;o8?*Q;`6xeJ&nJkoFzjk*bKikM5jltU+1x?X6v7%73BGa%U z)%`*WNMTX%R#6~Ku^~-yfLQStvtqrl;?LQ|e%-~|;9}juqW6d;K4K-G%u3Y5O1!d5 zJi1F%z$NZ5rLN?qiqfT~v?ZiAr603Pow`e9!KIEcW%lG{QqpC1W@R>kW#R>8w% zJ*~Ll5aAI#;lA_B#4{+w09BwIyAd7ZQjX$MgM?^Xap}`=86C0^iENk+c-j4MISp{R zAt>&wt@-a2sz@AMcolF(7;(h}7$t~srJitPKooLO-a-a03LqSnRvfjoY^>4R%auHG zP_9yIp+HoXmV=u{DUMkbj>S{8t^!3LOKUwr zMK;IQ?xpX(GU5cH-~{{SejXGziVdwi{7p4{D9$OWI-j0UA6M%LRO&wEwL^}Z z*PaUW7^^{k*2{jy`wrHJtprG>Fv+Gc3(eN&QNR|qP6un4yW>=%!cgdDFu?HFy@9p) z0otKU*Sbrn=Kyg10v$aX-PGGH06GMQ+T}uL6Ykwb2)$oQXOp!EM6MrG?`Kk32YMUpk_E-1EEnd&1ljB^MBsuTBoYIfE3?+276ilq+Nw+%S1 z4v^>}8J2Z-Zw`1E4tn_yaulPOq4sF5y2zRiY-6H}8bbd^1`*5p>VpgE4LhiQl_Ert>fl0 z<2YvH#^1)v5XZ4vI#&G)*Pq9I2q(6q->#ry?V|?l8cvL~PMowA^*&Ab$4{V(O~M^a zToD)Fr%$dBO+H5x+@bnGP@A3vr!w@X5R6LRWK0#dOref@qQ6X46Ha3bmEsyrxB5=M zT`MJQpSE0_CjDGSMlv(ZKSM=QPV;$Y_SX!D& zCrp!<0K>KU0Nw>lCtNcnOgrX4Xn`&YT5x8rb0Jw2tzKx7Sw#Lk=j}8%*|tbszWAlQ z+MQ&{Twp0gsUht1l4IIZq*5caJzpMKiX*}CLIWg|w51CyJF6}K5b8iKU4DmRxI73SzjZ`+)fbK-ZR=} zGG3x1-FXAE!}SG+=gSUv{0{%?77NR|;QEfz2lzBa>%iG%mLC9xdo;x_$n}nKg{o-k zEM4NlIN?LPx)ZyMq1}pPd&Vq#DWbhv=-7#Id)Ar#4hwtGPi@A6;I3vg>&!h)R2!FO zu!%65)EOAR8|dl`Rx!4gHQjfJ1^X&vTdnWwLX;0|3cx`udrrm&VX+6gu>;B z9>2$mwKh)k2m@A}?M+u5x4mMaTmTEJP6i!q+8mL_GWQ4n@3iwT=l7ZCj~(aF>*uep z=YaPYup$>glM4iquhKs;kiTO5F~zu3#lXb4{M)&!UP3$f)40pws>@*)RMPXy0nDp@ zHt2&&^YN-H?y9rus&f;CWdo(X3xxyHiP9Q}!t?PT=6Th1!_;+yDvGEIN*x;t)I68| zhjT6uK~{tyS6tkbPa&7F-Il7}mi|W8%|b2?KsNmE1iJY@2y|-*bj=U(OV!<90{!C7 z5AzR{K=;T(^nw!Taew|2=u>|@Fa8qfL9F-gs`qX#_fP^o5(ClY0wMMsA?_T(iS5C$ z3&FwV!9EW9Af!(|*j_x?U_L?#^gI&;D^UbXHiQyZ1anM;3JioQ38GfC$aw zA*z7&?~bsTuUjf`yDG1oY;YWLuk2N?>;SkkC~qDId-V_eoYoZf-UJrfo>Pg!LZf#8 zx%eh>5Thos;E=dk6g~#2XuwYjm^_kv#lP}4jdm73djsVcB{1f4{% zO%ag;zw7apJtmhl z!l72j^_pIiiXP(;2MtZH$b2VjkHO_lplb18UF#2_*Pv1Q%H8?pa;?cDonZ#+vT%lO6j?zI1J z#QyrvhW)zUN;*vP4h>zlB5NqUkorXM$?yBtV)T=yid90u;Z)Py)11%hUuI zLVfT*45aJwB@OJw;_>yZQ>E|;EF$3X-S>YtW5a!6@zGZD0;Uts0wa-zlMp|Vhr zJVQxr6*8kl!}bVcRUgGDlk|*w6m#QdLMcn@#Y_}yCjcj!trt@xnthOr$ckfxX;hJO zLJ&@gYeo@zv2(!?$`GwMLIt9Ah(DY%-*yi>`Ukfpi-~5B--)sOpUT`T9cw401)S;^ zty@n|HWOLjKc0-Lh`c`kjmoDxU-+nJBM;Ht|F{+^p*^(*=f5 zFD${v89`%ny8vzdcO~`s22Rbl_=c{-%z@2Q`7B<|$3`f2LlP7m@sWm9l+aVjPGM|p z%;-F-cYIKyrza2s?VI2@QstDKd)U4SozRM1cB@9hhU8LN(M#BlXhf1F7i;b@=q=0Z zU|uFy(FH;65(WK*?eK;+cx<=SsL?aGh_;h_)?fDurhM!_dx*g}5qgSr#MeKE?#DQO zAgx&Q&qhy%fZyfPkK5(N|C(3L<*tkv=eE{Jb6ln2ZQYXo_~jaH3$>7MP;SEQ*LC`V zVj=&cs{sXGv#d1FOuTI{$p6SatL3y%?O0Cgo9cAIhoyN_b!5K`m@+r(pD` z{__HQOL7?kqh!}(lm-SA@{JcOe;S$1T$w5qDHl@>=3mdA`duW&eWVuuOEaG(nf}=5 zTqBzhk3im&fjQ4!tGuPB)Lbi6Z~jR8!_a(%^Jb|Dyn}8(zjn>CJt}ZLW_GsYKc6cY9tyrL4l_@FEtOs9O{F@kRC_~;) z6jmAuLgz9IzPU(rAK9AfpQu(6OcbNr+Z=LC)e#)Q6ypW9oQ&pbHZfbNld_lnzf;Ab zS`Q^*e1mj;bG)5vI_2CMU%k-XrM(`C<>H%n4HCjLm0#fhLzSI(9^xKX+J~}6z$}TWtAzc}g9ty0xFJ>L9rG8rs{a!8T`mp8_b~-pAy=VT z$C(myEg@pjh=*}!hX^MxAsg7TzcqIZBdpCH6fKyGf2gt)lSI+f@#;&V$Ff#VPsJ_v zu4M!(MhP5mTMiKpWXD(A+6ew4TyEmxnMzxvHWP=HTrp5`lVl8PvFBKLReLhWz*IyZrVTJD*oR z!o!7i2Rc;+BSu9i%lu4)%VO&mvvNV@#K+5Bzp(g#tB3LRK$E;=EL=9PM9bo?k8YtX z@-K1TdnEO{+B@2cOP?@tVStxMDORP_V(y}7umpa;B4G6wSvvxcL@ZjoJc9Q>+Vg9+ zhpOZ@gQRx~dvIcRA9Hb6LzvR!`^v8*(%{`~`cYR#))J&`)(u$&5XYusVt*EJS|7y? z^IP+~H%#XlaaX2-*3Kr zJ>ZV0s))>ezDPTG9&tFj&e3l##V;;ZlE+MC@k$Fy4tvQ_H1fse-is=5eouyS!X5;CqZ_(yV z*eXzQnOPcpykb$dMKtt8>Slt};k(dCx`|Lo)We!8*N!$+jo!)8r%(*p>rrbPC4g`+ z2?>l2d-~VCXLb7Z_2C0g+VeR5C+1O$r?I7O|6jhDK3R=+*X!{7`yr$({3xNezZrd- zB|lY6XGh(f9=abUc|GRWmfD@EzqI}ycr2`cTAMepGhJ6cNL)92%5#CS_@x!E9Cw76{A{CfAOE|zb{3p zEOSpOKNhKk>$)|szoY1?cKD$y(e-FgZ{Q$`bQPYu!VS5q2aM9UP&Q=Fi2j}t$hK$8 z397)x8Dn!uETJ;*#^^0^29HuRDHBUs(^wB5TL|$sCFl21 zVk6|{S@B*T1Lh=$@?;Gfe)nd+F;4zI=F^>WL0qm)SdmQ13W$g#%QaC8*sbn%G*i~S zQ_i8~IEeprrS9yg?x~euEint)F>A~gK{U8w9P3p=SmAK{y|Y>MTUkHrwf^)K{k6@V z2FsRC$Oe5mGQW<<8fk^!5kO>Q=<;jGqYy)JVCbD?!%HveZ)I?vEx|fwz`@}iA!4+} z{pIe*UY}6iV9(nW#7mskNK#w+ag4Veo1^23*Q0N=ZBF4#Rc6_sY~?sFtd>J=1OLk@B^6f1FuCnpFu{j;|GCKVZo?oP!Em3O|A2ha5@o} zFjHM7QD>F|t(YMf*uHL`U-C|aKdz2Np|?UYkzd)N2qFipRK;Ocugy~QAJ#+>y<;Hw z#q=AlZ@5-NRO3VrQBkT9MZU?sKWDXAcdRQHq-dgS4_87idk*rD^hJo#`@tXiL zN!8C*W*JH$5z8avHsmHrov(^oI>;M73mBmaLXfZfOMnBtQ4Duf13!EwElx(>8VVLtP&9LF<|w4A(LpLF zT_CrtHS=eG{z;d?bC)$ps`#WIJFmf1vD<8n$6{Cht>(ZGih@mplNr1hb$9G_%-HBfE#raXLAVk<}XQi7EDv(nzk(6Xk8Niqvrs7SnrWI~yU zoaBuBoJfl0OoiV9ZOp=6`U1F3E}5dg&Z6s3vj6Mh!tt{kEc-5B zkFZ@U3RNPK!h1^=Xj2>jbBEeD2Y7pqri zYi<@_o9V*W|6BZ(xViE8 zyiQp`IZGvV1+Mi1&xKv33FV}fKRNp36LNKl>l$O+RQU4L3lk_@&}%2#HA0IQBq~_D zQjD)sx6wL$8H*pv7wHMG~Z}# zB3YTDcy5X;OsU{m4wY?k0M{f26oYn6c?H*`otIDirWcsE=IWN^CzcfojF#stV^LR3 z_twnd_b7xG^6->3D(E1ZU^81I(1`>0F_Ky4_&EyT++B?Z5qD{T+Jv23`F3UIPX-tsWpR7H?mn&rL30n!cO^&j}Xh3 z1RLgrCgy|(rXXYEd|nOqaW7L}xpu*6`i9gc>9?vm{8%Vz!B4emdK(__Jpdxrs1I}qYkaiJw1=hINF)ujfPfsE6kev8%C zx#4XK-#)`P#x~ziRn=|{w+2joq_uFQmZe@z{k4qOohO2!nI!reO*HBv?%OwDw4J- z*0vdkpBFEocGPf_w&0m#OAOrH8AI13V zby`20@GNQoe++cIXds9A~}EIura< z4$k`GGT(9CJMNylewQvY<(#D{TDa=cXefR@w@%}VJYerldZyv@$5(mTFU2D)??xa= z&#zL?f6?O#r1xcC?JJ_EDV}E_!BtDcRx5N~bfAyM>Pq{^g3h2VeWyA@r6*(OElc}- z6}27h`aRvixv8+1>I0?3B;ly7k31ET#K6DQbyFTRC`kwt|} zS{u--5A&R6_P%b;#%d{zC9a7_{)TB~!~U+<{9cNyFRO!o`Jx3nMq4*dP}KYeWeqi;BA#m0Qt#tVv_JWsxR;wHI^XT7!* zet^;OVv99lS9akDbGN^ zW)mSCYLa6)&PU?)Xd&wq+y7+1D+v#IgGNYoVE$V)famq_eh_0w`15_-s)gJ4%p@Oe zaQDvD1c?C0@l=__K6v~C|K3Fs&OR+M-^Z{P`lA9gbsonBHmw~^rC&vA)2c!ix6!F( zP@9~b6I}Y1-E1I;9tDh|UuV4FWe56i%-v;BoDH|AX=vOD?(XjH?he77#+?8mkl@lt za1t!IySqbh2=2jy2T2GL=y`a*@9f$&Q|Hv|T~kxLieLSkYFW>^)*XSi!EVwtJC%%p zmd+YbZCJjWfr?Kq;swPX3E4xmCWW|CIRtJ8!@?mj;8Ia-U)zyn^3Qyt-t&%|<+e(;GOv4pGzw!Fadt}X9A2IEQhTPAEH3y zF!TzAKqs0SgW`IdI$G(I5)H(#4LLHFtHFwvTwoVD`lA>KB_`<;Q4Ae(i9bs0C(C4I zhRo5nF^24w6=lX;|7(#8YEZiFwD6B2 z-XoFIy1@j|n4TLg5^Yew#j(d&lMdC%(lh#t`zdhZ%sIJ+;e&p0~wdCr^K zw!P3=S{$5J**E88CfFKBdED6Q`@CwTK(F>8(#Z7<*s_??bg$$I{?$0&k5Zz$^2GV4 zaZbTCW~-N-2MyJ z-7ymUhi6!!@L+fXPpVKC7_ z$yt4JGn)n9sZm!nL372MY8Tf^ljb{vwh{VRuN*XjV-h84%;dxfJ~@1>7-SX(oupV~ z8d_4=a7786avJpC*eK&}>#T0GubP|9kCR5o)Lvh7OyLtp2Z2D$!0pR)m8by-3oL!t%dIsoDv?3x$*jj!N<* z!{;8YMVnU~|8cMLr9I9v4j#9cLVnI5&{Z+^Dm{TDQVtG)RS*#YJmy z7Xb4?Ifmr37={#@@rt&FmZmd1)9h73_w+{Y>#8_O(Zbm!!zMw7ctkH-W2i$mVzZb| z{KxvM!X?lczs!4#Bx{=@+NsDER3$H0*G5~QYu?)V<{IdllVT~L2)%U8EA+_rOi@%v z#g)8LJLx06+9#&oTx2kyG90VDo?IYLc{3Jhc9zLpWUs*Mw{W(}A12u4N>ZCO_Q-IP zEvRw)c|Kr8mr=AGY3AoQ-N0ut4zHBTje|_AyenL$rxWejN8mE&qiCco^+T_fT2lcW zo23HoC$t0}EfdV}Z6!uS9kg7&u!~Sa)gSl+0ZFsr_a~!jMt7Wqs4n!v#nb~XZCqbY zxU41MX|$t0)zf&fl`G>J;i?i0Gnbs984OwLw-PmS%uRx=7Kn+1pon~Y6-f@Rd?euU z00R+$^91dzHHzw`uT`)*iDtUe)L6s<@(I;Rc44+Y4=T#7{TM0U^F^CNp9QsO4C;#k zZm;ulqO>M0A@+cc-C1>FhsT?Iw~A8|N$p!i`lm8oavrl*wbgG4&8^<&7nYBrE~uJW zz^0>M1|e{TvNn4`^vCbH@^0Ur`FGdw7UDn0HspCbz9n2R!ZA@hB8qhcCFS}Qv$H#@ zXo<|9bn=yocS~sb887^xZ7!dWI?-$FSgd*9?8SNc(Z~X3sUVrZ+BN9Z2wJ$*@r+mV z?#WpTVSRbudATiX=j!x(fvV3KuByuK*3v3kn&~6Xp)QI}>l?nQt-YIN9Cax-(RH@t|C8X?-P9W8!a@uPH5~pD9~uH zw4%64Ykk~jDsAub%=OOd?D`?$*EDHF?vsDIu_ZR+|1DqqmmcTS4~-829VwWXg;|}) zxh)Ti#Tp*f?l~t~P?44SsNX6dfq}bX+w!oPZ{8R3^8rlJjXk%XX2HyhH}3C-=AT_V zIWvC-eeK+UqxA3P%(#p|>Z-w@bRLQ|{mK8K^TnP!@j}fH621%Xv*x~?>LoqSXl>bL zp4kl{d=emeOp+%wO{QQbganv*jG#Py}9+NL^b|m{inpAhr_4#5Xr|Kz@Co) zk)xE_zX!a%_tPIFegTW7$H1cL60m662rQZck)tgrAh0=~uTpyd9!g3Ajicw^z@F&^ zuxGmWU#^{RmoZ8G%Y}3C1vfLp;K9Qo-iGmL4S?iS@R(j)IG0dJGj|^lvJg`mM=9Ax zl_7;QwFF-0(E}Ap!SY)9H5>o-Gfe5xZ$5k@MJ zg*Uk-1`o%535R}S{t_xjh6CuTq*Q+sLKvlj3N?i_4M#y^dmq|!J{Q?ep&DSr;kc1s zY&f0}>5C0#lI5ZbV@3=sqzk6KmSrI+KwHV=y38b&QK6$LpyAmqOx=~FlI23C!GajG zuhA6o^;PYJaT!uey5tw$(Qu*ek;zz4v&f==U>Iozo8+bGiAdpAs96OdxBv~m%fzMH z;TKpJBCtl67#B(}6e@rgHndwxURoDU?zY_nHhkyBhM(=!()XdQ*+@PQ65Q^H`HYiGjlyf@V5(i4!j*h=uXUl@K^2e`yT(8v9*vej)(a0GH5L^a*F-#!L_es*-(}KJ zp~kc+^q|pyCPD0@;t;Sa^eGa5C{o4DQj!?g5rJrlpfaM$az2L{H>?@zpsEMh>Ngx1 zw-l?fd>3M{D+J2#S~Bg-eO20-pl}+gghBxU6KWAyo|6O1XIZP~-TH5IlD~?IQmxcz zXeFq!%|TEpY6vyY^?o6caSt!7>86L_JG7x-fT0?c9JMM$XK*OVbku;5uhBYp96H|0 zx@^&3d(t=xjN`_E+wF=atBTMPX^YrkyjVyP@8DQD4hzYCNYMT8dd>tI@{`74?s62IBh6S!@l;quWrlShu8x8wHWa}TR)QD{dlBN);ae9~) z#-eRTcZTnJGUJ{-KU(pvO=|3mkaztDjDi0(2`v&Ii9Ke4BR@-iX=8B#6@$4S zg~&(s!XZ=z1uQIZ5^hI3acK}{S#jMY(r>$21XN##5b<_M_dB064Slou*7 zA9d&H>Ktc3ho$rw!@*k>5FDqD9~T-P*Iv=T-YxeCbu5Z2Z;+OjqzXf0>qF4nQ>kGt zYAcuQJ2vKUESxRRd3G>7aV%zo5t2~J!(@TMtH{TsEZEwM0Gq(2?&$L{6-^%1qJ&8j zWficT7IIbA{H89FQ1JkRqZLqNp4R}qFA;3do z7BNY&)4owg1O`wqKDD)lf6iV~{}Ke10^T9_WvX=r4D>KM4QT?Q=4Pt`Dp*EA?5jcH9oQGD~$XoIA#yw@}@-MeK~1>?)6;4%EAFQf@S6 z#${$b)o1uLJf=1R8d;OTbBC@%VStK@9o65npF#>x2QDhvZDqFhqz?Ba60#(HYpTgh znK-JcD2mps*=65X3mMRz_i(5>*%o^2FF@8@yl5npsN-cg^9G8J2CB(-sf9s5>pgcJ z5X0_s-OCRO8g+J??p?Pjb{}?+YP$=#sAQSU>C;i+m@ql5AFNn1Y4pe0@EX99`?i(h zAv|=KRrGZ{=sQ~^1Bp}vHW`;{_R8E%M+WQeYKEy%Ws=I`$P%7WuFsezAft8b7Up$-pc83?YSCs8IBaYjAy7jBZ$dXidh($;#? zUT(6l^<*>L*-YNF~ zFykSA{(E5jB~Y%WCaq82r3+4#sM%c!u~c0842i>|Chix92^`B3=A?91{Rr2 zsV=WS3>lZjbhIviFbbPiC0nV!U^teD*J)$4zVPcuDp?4bazoKr3X^Vy=~zSYLm8P<9g-R(bX5&re^QBsaDmg066^oUIjZT~6&6Ufw zmV*#-)t0K&Mu+(dvx%1K^;VC)@f_9Gn$1rCo0H9n*4ppA!Ek64YHf8pgVDIG=96vp zdtVc2Rddza8xAHu@j6S4{|k&WXC=RY@o{s7@}jEm_RNT1^sFOmEhGbnl{f>h0~&vR z@1ym7R@>lhM0lU}c4Rqm&K?m#6RLWiY;pCW4h^x>%``-2E4L8|N~xLq_wvJID1z?c zPw%?@i7ZJ@LuK*ej3wy7S2qt)3A+KMAFFiVe;aItAcK7=-oOO^AodAl{)6R>F8qf| zBSoq{7!MKW7koGjmDZU303MNfC{qd1YAC$&ohBZrz4gV4dw-GAoCU1-q}Faul*m?z z8oefZ5e)t0CGMJ7{}Ezv1T?rU#~x04EErGunRgbX#1f;)C6D7{o2)8eL?VN%hBGPl zcsDpBmS)N|o4VX>j~%t4%|srCvs)-d-^>k13!^jXZ9*?eA{@ixdO?ehhrKiQU52pD zp2n8|zEM*$6o>8@SBuGp+y_mM=VS6C*L)GAs-=P;*84qF;K+U)*`E^RgCmF)olNjL zMhbOu&@2^XM9i8t+@VO8@aW-33)7E@Rv?Xxemaxaj$>~x-HlVq=me+y$;neEPRW!T z8QnIdZdpIsO*R=4RniVs^K|5@dBvDp)Xq~E96WTtchUzRh2R{0_KXYmZ2OH2(~a># zV5alz7S1xg7l);utJ(Z+KM?fI$gXb^Zx9Oxjn6roi=~$-vFOHwZL2U&W)340O?Dy+-+dfL z(JkY4p#M1tlgjPK=F#u*H3+||`2EPt$DwvsEfCs1ly&m6_9%;1PgvyLP+p3^z?Brb z+Erma^#_3l`^QlfDaXSHT7F&#TI!u-EZTy9!GbxA0E|{3V!2e%_>U_omBweI5ue>K z)05myp@?m2)IDNJdk#EKnVui&57L;ox^$r7V7BsW5H(eS{V?`I+s2ALbm8rwHAbKP zV>v{?~Wa zmDr<}NF1wgOM*HlD4W2HiHA>vluvuv_5*Zc)vtyEaSDy3$(pKXn9uC+=th6sNuw}v z1;1Ydz7(DvU^50cM*|OG`P^FDz;Xjd$JOi zB)R#-ElebXzAB5=a0UAHKo26qMmW}Uk4f(=rq58~^_?1|p08r~jgw3X&K{F4%1%6G z8tXe|Q_p#`Z%NF)f@P*ql#Z%QMD6z$THybHtNwaib0krDHnc$QGm;g<_;qt-2$ht8 zl`-WC8GIp{Qb;0l;;f+2edV!hN-S0<$qE5iL>v&AAyHTAAw#Lw#vBUmvx!Fea4gS$ zJD2tYR|y`f9kb0$g}Q!XDM=_C6Qly6EWDkOSD@C`B`uXMRnbqRTA)J3D7XKs z&9C69MKyqf@im*NwC|o4JfK8G)(&_nr{iP6@OJV*pPx1JNVHW3U;Q*%O(>gTy5Chcw^Wczc(!bS8OkC)s`$54GNgh z)$5oK0qdTzF1}GPV~77ZbbnqK?%DN<13&}%J9P``YuA~7s4Itee3D9OKm29Xh_zLB z-7rCC?uspPcAC#(;jV^<8SjqPp-~D^Mp0;wQP#P8^?udI^7*2K|F2dgTFhw=8$BU4 zp`{V(E3}!*UA{8ZPoW`?{YBE|eo+fXeROjbMS>{4g5T|S)#Y2Q5pR&Ae@y)kh?W1p z2ID65u;^{U2p!I+<`%-Ruw21)5#%uDj}I%Fh_`haW-vCikE_ag}q%gwZ)Q!)F6)9K^) zGX2|@EC7tZ*54lFXz3@^&_^)LLrAb`8>&=^h%wp7!|!byiT`{R|IRe>1&kjM0AM`O z@*gm+n+kyOF0mId{s9*N<7B)qV4U#+`q02nvpd;#O9FJPRU z;{}W_zku;gwihry_yWdrSYN<+?F$$;V|fANSubFmocRTeN4ZCA@rO9eg_wNH6r=E3(WBbfjM3nFvo*(JRSe+2IhF8w~dm2&b^`M zThM3d8ZgLf1O|CFz#y-;=J~gK_tQnM$lpE5-}m#-ZtTljIBaIHb&(|qq-i#hZ#c35+il5;2~wv1HlmXe3&Wh*aoK9lro&m zwiu0ILj1ZIb%!XMbQnEkNPs_Pt4Flwa@0Ix7JEt+ds-E5Y9}xH6H?|1Vpddp_Do{V0AlVnFs~CazY4Kn1z338 zn=vy4s$2kzS|D@sMf?FQ3IQvU5Gy|rsTzaTQGMjcLnKA)HATSs<3z73h>TFdCMrJK zC!S^yA}c2%n{hikVVxg#S-c)$TXA&j_5T>lzra2L2s1Saxu+0)7%poEC5@4GT zdGj&Av+#kSbd8`~#I|yrpt^#f7S*;slb|txpn1)v71g)c$+O*jVDS8vaCp@f5_jQ^a$o1Ajgfe{nqfTL5_3SZjUUcXixj(+Ph^1%HnvCq$*} z1EloFN#XaCqGL$SDT~*E2>uNT{_kSm)xO zCj}^I9!ObuSnu#&nQ-Ac)<3SA!a4s2ilD8`xUw6*}seNo#dZ z>P;&e+`tXNNR2?8=^o0^$UD(s32ER~ZFGrj6oYNT8*k)auNQf2l;{M@RN|^mz> zvn{x@?c|~DjHK0vv_1Q@^%Giqd}V&RGdR_RxO5$-yc4IAmAD%1ZStvWZ5B@BJDg^; z;(FH756&I!&aSP_IK8Sk{hdUEqBz5(IA2*yicf3uC+ag`c4pu(Mr>5D5R7*n1uv zK^YZw_SkzC8|jJ|ePhyh6C2|yfO6m2caMgd@92>V(}%P1*+BpWF|gm|Em)(kk1P;E z+6uEz)eobV;fxqZ=+bw5*=H4rN;cVF>FB8eeBVR=?9c+w7}&oX4IFeBAj|GY6GY)b z@53_%Yj_MIo_z%S!i!Dzc{q9k1@kk}6cOQJJ=0;ph7%Z}D46#32M?S79kwJJVJ$~f z?dp?o@lb>rKC2u6PFk3V^>PM+QD!mi{$dJ?d45G6R?h}sI}cHGfm5|c&bhMAeBn=7 z2QW9l=ujz4!E8*=IN*2LkYAu@BwK&UF&KaLD*`&^$82!nSpPZK7)b_m|8(EUF({9Z#78-JAJl1wKYk&iym-*UbvqTI!V&*AY5a{qy_zWJ+fv6jvh(Wczu$&VzR{@H(3#D7_{}j@*8;KfziV?G>UCV? z^N3Kwhb1&m7hoCQ(OY5bi9W28k~>O}*^ z#iFkZmt=E>uC=P&i-J~**sx1?%fJRBuJt*#efI}jvnAf7rLwO}UOP)@)XNHr%P3aM zGEvJ_NXz$Ci-BhI@1K^1fLM9=JP<3F0Al6j3qY(~4v3WpEzFRvj&v-gx^|`qt)^zI zX1aD|Z?29$uI9OR7l^N|0APITEf6aw&R<5{Swm`Ds|tEmr;goR9o!(ku9>smA->qP zx&9hswQtJ5SA4_4Y-8kUX&`5#Dt2QsXnFc+<6Za0T>L6fD$fFd`uXZw_hvqHb8}05 zZJT_n6eyJg0id9*YVysUp!K@aEzX>+%lK)aRF1c^1rz+ebE4}OqyFrC^RD{)RA^tfwapL(BTIxSl7Py$0agu0UBTYJc--ZOjTU*oFCu~R zv(rw9Vqb$|KfP{W4uIjo`vww2;6r%Lo&!UP1Lk~~ZOa3t=dUBk`z9CrOH_O2J+CyV z4h^=(Y<=PFrw^PjaP%(@6}JwoOAfp*_LWS3Fna#*r@+)<8;N{>6b(%{N}K(mQS&31 z14otXNTes*PT*5q0*3hW5rb!3SkG4n@S(THVP*nO(#0WU6^w6*5tMse=!T<#eW)}& z=I#rhN3p-SeN@eXgUS_N*7wsOV>uc|s!m0Hw_L{tq6x=!zR}0BU^N)|mAMeCJ-c(3|lt@7OJQ#`? z3Pp6&x^taHbV+EJ6DgphF7~UE(u9!f9ro zsV|?YJ^lgXi6G`Y(A^A(tq%0}Ck!C=VXma8;E`XUt4J|f4alHkkOl-F?F`CcQ*oJ2 zCQ64zVvq}a9AV>(DbXpbv1kv3E90h%ns)5JN>RkhlnDIWhw@MBJP?yuM$X|?fqWbp ze=6TGbx9PqxO%G6w*`59LhgYzC1+YiGfMGLJb}3trR2%X?ob&AomWL!=bc8904#lz4sjQPgriqx|d)V-UXmc%SNBQZ<_ z=GK~AWvAjzfY!O`hcFCLQ>c*V?#L#`>*)2}S z?7`<`vD)J6{{rKsHJTO@*MBZn8((X72fV%B?T$kFxcS%acLx37NAy+h=aIjpv<$#U z9c)RT1tuWG5nhBi(u)vBp??wL98L7HCQdtv{}SS_UW7QVg)|_<4NU9t35`OM()7W4 z@@aZ*Y(>~I$izj8((ovBN>Y*V`&hJ3mxWmL_m;^Y#d8;ERm89JaInNK`sOg%&&vuY zIF4bwF}Z&L{y=Cqn088VDR2-&aNQvcLwGsQ8-xF%ix)%u+cs`I?=##n6p;1iHz*Z>RfD&zj7)Y5eSxp5*pJwQ^`vS(x zk+M7JXmI8Qxc_cM3e?1@*wXXxYvrud@_xe3OfstSjjv)X;k>YsI#3N?^lh zZ%S}GoOW8sFA?rPgYknQT29KFS(A_Af3{OTN<3bwDo8#j++#_>qVQo$BLrE^N}E$< zC(594FC-2ci@|Hl87c9-O2^Z;{f19y5~Ho~uUL5yyp9r0{9ia_`bUR3Wv1dH9xT@S zE*n*j?kYGnk&zcaz6khn!R^$Pc#-oVT@3O0qj^m!1o{OnIefcc+Di1r3v(P?i#})? z;t2R?+RDuXK&*T?ME|vGw7!9{>#+W7^B{aGL#r5m0wX&MU=vXdo83`+!gytlpjBg= z-6KX7VV`Fib*{K31aF@T#b^}%P`(x#t+o$`-;RvP(~y+lvQ0~U45O^#m7H2tM30y< zrsm|8l6_XhD2Xzz1@Xe8wPdqVe~U^}z=JPu_%B9I1~76dfRRfZ8FSR9w{*$ldVWS@ zJn_ot3bf`7LP4VH$1FQvQ$A)8liW*eM`uBJrkhED*H}K@Efqp`UZxm!r=19rE}|i4R#tVIOSz>g zX4Z!us~D}}{0ty0;Z9S=v{%6;TUjU(9Cp-rCB4p}iKn zK**$Du4?C`oAaPorl4P;TMXFo0R1ZPn_%Njme+7A_|Mm+y;k_Fh@&b?4Vk~I9Mogs z7dz6Co0_ZLf>=%WSeD!8nrnQ`u&IeREW5>!2Lh84EtvGE```};Li@3;cx^uox)Ifr z0p)2zUC2nNklaUo1fV=kgR3q;kg6;L(X(B}H!G3<^yVs-?=g1D1FSHVcV+KPX8dg{ zx=Dz`H9;e6jl8_%>&m6J^M`$a2OEsaLgHPL-~li$YB-STn(S3+yLl3#+~ql!0u8*$ zVtSHQ(IvQ$ic&RYCCxxHl;My~F5F<}%ut;=Z}9$tM$Q#sBw|yb@p;lV=QMAO&QYh) zw{@^2z3EtV`z>zvkV(o_qMwFH@y*+B&Obye8D~xxdEedbZxwYR^?XRy%sbNkBE24^ zb;s=U9<%w2+;71!$n8%oVw{(*KP4VMY3?Y1)ICmocUrchuHQtb!*{JRK`@JAl2 zUY$Em0?e}r&KSVc8w^J6cv$1_ zUVY=(t#t!0#XX8~dN+;t?F8?I$bG8m$*_0sib?8iU*b%V#`2e4IEVXb#o6EFzk;qz z9Ar**Wdq&^ttT4VhCjXa1Y1=R6MMJt zHdZ7JI|gx+rH$~3NK7T@4B9N#++uWI2-SxD&7>X#XH$``euut*@!GKcA@gfDbzipB zM*@|;crTAqHF~g7yU=TmvPQG#vkZA4TwM@7*%O}Rq^zhmPtNt&Gz7!!y;1@yv22MYpa)SV25He*ZRzaO2S%Yw z>FIm^j^gi)6Jt3((P}o1t)j0B&KUU4XE&Z(yV+;%3HyKF@Sc8BGdnv3i7CBbwII-?fe%GP0UZZ-$5!ujjIW7Wi zWPks`<~UJT9$G*+)KUfFuEF7Ur>*xG?DtfypWN#w&}AiZX7vrL^lRjP zJ5etoBh!7&9R%0F5I5kX_w~&}0<#_)LuWVRL^qpD+t`UXYiAW_QQK5U8+Ug09$I6< z9vK01W1=YUl1^iab7N|yM0z2+NO-&GLiNQXIW!ASGW)bq@^51P|i(*nNpk zm76?rn&H-EH;7u^lw;Bf^f+@B1k@Ei3>Tp)lmrNr>hwE0OIJ9FRXx;I?+VmDwBR&~ z;jvbd!)H=VD$D@a1if2HVg)+}NIZvF7uG8&Z&-b7zxKjU_QAvWRdtUHbZZ(5F?$Pf zgtxK6^{`b6eSIa%`KZW6%FfNp9_k{IWHY#A+_>!3C=}k9KG>5{*toHlBlb%|d~kG| zL^79^Lpq!yk5w+ww70;!SHW3Msj;SHkONxQ*i@cEsS3}jfyFOsFksR`eCyQZui z$N9yD|50YRnN$VYR=zO2^L1)xarSVI*SJaexG7r;cGY-a=XgJF|G@hAU|5Asl|Y@I z!q?b-Fxv!4Q5Pv0Yx7XoNSlJsV?R->>g>%(2VHk(7b^v=BE4z19L^+C#Hx z|IonDf((oEWMH5g7g^8PWZU?L5bxw9!Rllfo$!pF(h08mX$tRrlk7rQBV=PR_DnWs zeRSn)bXBf*O|SQGKs`B7Qb9~vv8eZZ>QMTm_$6|5T1S;|aLlG<5wwY<%&2V-pNeP4>E({aX;;>r!= z#!=&j(S9`>4~d$Z)(P;>nCl5tnQB_`b)oSph{n&@su4ffDl`;HJ2Xk-7LGJGDM%yC zHsffyk;!~x9q>?_eYdXaeWnUkE?$A)^Qf3rp?1qeOz3UdsC`cn8r@giEu5TX(GU6C zruU|2QRQ2BcF$~TwPDaVk)dj1^(jsxb%_mqNivQVwq8I&{US9;a*?E7oTAZRqBR?P zEF8+Po%fg&rD_R!uREq>tNgc8PCaZ*Ep;suU5e#ts4{4}>fC@sT;4-p{)}zB z?#*yflT^o`)TP*Zm-B1vefhqdVWFJYZN>9Lg(f3en)Tsg_NiTssUuGd{hTToaE5rMGoM&2EPqWkXgTZ<|A$;0t2WkfV zW(4YHbJ>eT&8x)c>_Af8{P(Iwvl%71u^eAVvJYSCnYvO_@3zm_4xPE$S?`|u^!~6x zj+m5Nnue}kCnx>5ai_U=j%bP8{N;Wh|I=3UQ|BwS8JrEG09Va-IqSpT{XupX#FHj} zf9c*=D?s^H`W6+Sf9bX4Tn&eU47=IB!uZaD()WZ96X03~;71lVZMHdlCN(!rr)gG! z{5vYaVHd;vM>K zt3AH0r_XCOod$=K236-{I;MR`>hdk5uerso4b^skE=ZZUSYs^=m&aKPA&gw-=+>l~ z)OO9+1&VR{T6ANqG-X@x)O>GcTYweU8$9?pGGO^jW^Bs2)ER~ zW7uumt=UH?L&}|)YNg-17>d=xYo7Z?UEL)gvGtG zLmSNBd(euDugOzRv+Uo@2Q25FPVgg)gnwjoj6FZNc{Ra6f$dBBI8b8f&Yh*{WN@t6J6W z!1Ve6H!Z+%xydp4XqZTws4%&nVn< z>)(W&&j?s}%)5EyrQh(UUwWFF#x#3~|G0%5c$bzaeoS-P#JtjSwa1ZMtxmV+FZ!_y z{zc$!YZT!VljBsN)Nvz zc=IQCEVPPaPQTV>@}78;*`Yi_aV@JTS8wJ>?dz=^)7NTF!ztrg+0kv zKh<7Oyo*2Nk`8AC{zT?Wp&yQZCLDF=9z|%rp#a-aD!5nY_#3ro#A3}G&)j(rziH%m z{MqepfptGlanH)}Hc)xuCC7(g^{kgrGfpw?!9_k zvA%0zGd>_o{6Sedkx{rRe(fob=^UuxMr7tj{KcoD)<;#sN^LqIEWx=j$GP^kF*J(e zpew%-n6F8TM>Gvd~qZ?d!6QY zm>qfeZK+E-$eXVRj64H|vY#y99**08@a+m*zwnq;x1TyVml`>lq5oDy8Km#}N8aAE z9x+-X5b=7|MhiK`SYJl$5RSz5ahO6sF`4dq zpx{6h~Ou! zkmbQ+#hBy2JH|*H3Y?52hg|0~6-FxoweL?3sF0HEhF!?C&<%RrtQ0Or{G1Z+6yL&; zA#fD(&VP!3#WDpWY0aS#BYDFE7_Dsy-D3c)0Nezj-8gSM;e$_&^iYwbBH%`(RZU}p zs9pN~v?xqjJ42Rh$2~)~=eRIq&YQKjjJa=5+8MtDJ=`>J0Fu5ovZlS>x8qXY)zH3tF2>#qkWWxm7{IL ztCGEaO$V*EX_jY#tpS--m938G5w)SVt>LVpT4(~bsj7;nnx&%1%au9;TV|AM6O~4Z zY6rx_LG|I&X%uBpnW~mF5`B{v1%|j!lpLAvL<~X=?N)(Plg`b*4NSck z>0!*@o-Zz2gmiNmS}{iHUhSzMM@QS%}Mj2%mhTh`!fx(U`@C>MN5 z5!=s~))9LVmSH`I$ul;*ro>yreCGB2%zW41{4w+2OY_TpbyB^&^)7ly@C(iDX2$pT zPr}z0!HL+0+abwx{$rsS5@pKaxL!It5ybBstfKORiFTvub3f6q?6FB!XL*5u`uh`9$C{*m%w@PNF{CgtE z(MznnyeQQe;>eTf6);(v2T`dgFRM5~tE{;OomMriK`Nm&T}!*HbpzuvRrPgrm28cs zJ5>g9s>TZq1T9U&?Cv3|rohmY61ctjQYe3?6fHxviyf`BZ+OY zDeza-8@t%blCEzn2zFgzc!bN6?a{#sk6UTrE{zBrYn37`^-p6p4U+#vh85eTmU%lF zM$z5;Rs1puE9eYBi)T@i&#;NX$iRUv=4fe5XlPj(qvQS zb?3=qZ76@0H94yhEZ%lw0e`i=-l=i<=u%4uf3$l9EB5}sW~QheXw;X3%Dr`}BdppCa$@TFVS2hY{Mq{bbJPb9HF&rt@lU0U| z#I~>O-+v>X>GLPzPWE(2WL|@QTPkZ35IB$5%CaFZ2lJ!ub32=y?k&Rzw=}$(OLSD- zUt0qXOOCiE`*hkeT$KpQ`ZTzIK(h-{Fj5($=17AxKG>uAqcT2x?bWzI_QUNy-}J)E zhlypAIW(rjnj+=RxQ`jH6_UE++;nDZZ1P3hs;D~%D|?U?D0%>ea-7z-5plQc4M%Z* za4p5n{+9R+ip16Ld0i;F!-Gb1&n-3I`*uU7Coen6zsf!z@P2=hhZE`pxiuA{pfkg% z2IwHGcof6cQz2S(NC&*RH0Q&x>Q(WV$*HKbWRqLbv^wG@?$OCd;5qjU6t{l_ry)3E$oFHlR+$$*I!Lt&H-O_G>5T$i|yqMK_Ck zO*wx+H=!C67;Pliah-W}wob)7)~?^+_Ni-~VR3#%6Qtph%)Y^l+bT5KqT^N9M0V)V zE^HEjnUTL&%&A?uW>qr%sZ#Zj$KsFLs(NE)%OJyr*M#WzAYK1mzFg7qm=@!|uZ`y?_nJy`kWRExIu=SKnmySsKkA#n zEPl}8uQYo)(T5f;HXPzsIR~9e9IP#MPV3fw=q|NH>s%R;5U7ZWKNDttx9a88()bf+qFzV$4S+ota7`7vv$2T`!SFz3RqHf!?`QLt-|-Cd~papiZ* zpU%A?cblIkD^It6JwMnlL;N1UcM9C~!zH*yaEdKGfbUvgX1xe}J&%|sm*Ur68%6QzPvTyIOqVUeh>N*qhv}yNp&75PUUXi67q~8keIj4F^ZHvvDZ?Zp-pLI-& ztj+gy)e~l(yK=r87<}*AiUol2sLr*UT)$4rj2AFo^_1(>=WKexF4?(-Tk8+THQ$f? zBD_mV@pkMBl=SGMU&}UO?c34UJ;(8WfA_^dy!{fjwO1?{^h2=rq3a{bR<++#ktoK+ z@{Gjob;(n!XYa!%P$udD%0yv6ndtu)FrG&TaFLgII2TuNBeN8M#Nlt@c(p=7Z83OU z01}tw77J-){|AY8jUh#DBh##d^g!?zaJ+glS#lvSNSp}{k7^zF1&PaIs=$KkP(W%j z=!j6+lZZ70wNR`YlI*HH)d_zJ?pM}?td`9%x8V(ndkkyNO_GfnLvE^{wVdElJT2WYMsTSPzW)yR94o> z%Py%ae+aQZK!g)>=tE|*Q_r)XfOBXmmQmBPs7br=ss|bG0bAT3a@8%R>RTn}D|L^| zhvLucY6>aE1QXLs`ItUY-YmjIE_-K^O1t$0ZHu-VlLhY2ivp#Y$||TbeOix+TuLE{ z0VTThXD?RbTr=e=rn|hL<8!42spjx!IEy)Oarkt0ektfH_aKR)^ zV+2aArBks<6}<6R1WWVWcQaOEK3OxbV(Jhd@h?u;PMOJ5FIG~=qI_aQpLU+jRXoVZ zwOeKg!fMY^D^`+gX8={^yv#|FuMXAN+R^6S1;TsIAd4bK zg5dm=zma$YTSqaE9@v;((#DLRl=6vWC-=~<5ghtvX{(}$QEFr-)yaehP7l!E24K(= z*e3T7W2$1OlrbW=G?@uRyk`Pu0s-BBUUtd}6D%mjvP+4woxwU~&+-Op)6R6RMsHb+ zNo)sekja+{Vbnf@rfx6+q7~|GH!Ci4>OIWKVY}iN6G&QyNxO^DmBI+#Eeh_yG-4^H zlYVKsEO~;Qi^IrQ8(JK>U*=ixwmQ_QT!}^}LnU^}ra4ryz~X)V;QJ}&b2f`q>3mNk z$|ueF9?eQLHv2_%AU+=!5G{+oSB{U~e)*&cwkI`1>t8?U1D1Yg#G=z>89EjUJL^_0w@R&L{Rq$a=wPmGr0;Oot%93pRgU?1 zD5FFTVM@VX$U_fH#Xc-o%Mn-a1Vcbi?pQ%qX6E&n)}-57Iy(V6etc8A_FxcLW2@Yg zIl37$j;o`XWG98#R7YOV+hGTjo(WWVC{(`v z-q}c@Wdq@}r$P?PCU;-$6*=e?rJ5I2%E?Hvb`!Dsph9vL{j5_XilpKX!?~=Yi2_RC)TNNseBR_8DW6?*aRdv@96W)xP7vPM>iMtbR`eT1p8BbyZ;6jvb* zq*|@ZZ8GfZl^lYKs*=qi8%4Fv$00*YQaf3^*mjf-#k>%`Z{_>tIObB(EXj$-DdzhX zllhr8d#udI^`Rvt*cE`Q zS74Ho8@s0W^z5Yg1+CSVU2)D5HyqlMky~7_n`v}dergj-+MPMZ4ALzvsvjIL4|ORX zw5`UpsV~XzWfP$}vPvwN8)BZXKH19N9ndVPVggx{LKmlY@-$&9q?EZ`ry4`2t3!H} zqzr~|rfI?a%Ih-iBUAVC!6pZe#-*}XxVwx~HjScOgUsbCTgZ~iTYAiFJ1K~=y^CyK zVFrG#)Im3{w6t8P-*)vZ=V3waA$$qoDFV;7>jxPmmdtjWDYRiZvwNFTM<%gj(9w(~ zn*xUfNpq!G^K_lOL^t~_b>Jyrl1@>f#9Xn*PD9yj0_iY0g)cEWz#y&_Kiw!e*mGLp zdaFbB^uQ)Yat?$QnOQVHPLG~>3OE};hvjF=!j(UGhRi;eTOxzRcmKWkft&Ay_Qj0} z2Nyl38$It$(br$xp!ZvdvyIb_IX~STd1x58c+aoSGLU7nP+;GCE;-78Uz{J!9*OGz zlIP@0s=OMa0IPOl!Yi9!wMV!yY1ULS0(TW0VL;*%O4D&}fW&hUKYvfwJR&piMC3dXVj&tP0%8uTBF z;;{$?AQ1nD6Zb=C{;|aG?|=Tfxw^bOJv!dm-rQbW1@Q3IjX!?)7TrL5w@DC~u0ONW0;@J-p-f%-t`0M|gE)Lk{*S(@Q-G6}bUu}P4@&2x^;i`(_ zl9KfF^nXi>Yu|aO|N5YO>mz>~0R0&(c@rUg6(jH?p7%28zoW&U9G3qNTye_Dng22> z{+|rQQ~!$M|1SsPnudx0UK9rcaTOJne**FU3o0%pCBg3@%4fpI$M^p*5KqQO{-+U- z#zTw4{$CS_qoAPtZybm-mAw5Ehz}ZR7R3XiI6D@3;|-NvcKm#*%kdg@)sOx4jAXX+ z)Dgb+pm<3>R*$I47N(V z_XmqXl)kh<7|FgUWk2yqz}bJZaIH*f&C0)7c&xMxPdz}04{Fo*N@HqtVM}F?5{)oo zV4!3N0EGBN>`Uxl1BAG@C^3sWs=y&02{r6z3To#`u4T@LkIbkfgU=dPzzHMJ z9mx@t?!u750vpm$+mC(wmV^9=pU*#_S7NS+6ZT;mFoBsM&r`A3iwsIKBtq95Ar7po z;hI4;bjW!P9;dMuw_W^*{LhSKI-DXu@epGoO~gP-#VfPseo7NdK_@<%+HPtybAwv+2Y_3v@L>uKZN2V6=F|wxqI-4BIJnh`U)PoKE0+n3=V)-d zN%*z3QPzg=%6;mDPKZNB@sT-wbNv=yS|2yX8F?l;22?2N5vR?>ij)_p^{y0+F|{|i z*Sbj>oeJ`^5t+yMdU-@uhAt8&FJWM_hc$Q7$WbiC{9D*0nL73G?rW1N$f-C&MDxX7v z4$>zd=F_9VXhZm1=TgF%gOhkMurF&krbHC!#EBJ;K$SG{B;zlUe;Hv{C5pYn+%dVu zCq_g3AV2Oc^4Dby0bd1Xa%7)JI-Mwa^qJMNOFs>-WeY*_?Tzr=!4MvaCi@cPL4S>7 z?!jQYei+c$D=Vm?7@$fogTGj53~|y?zkd^u#30R1fv&Eh@`8qCZs6x>e>g~3P3op| zD4|S~jJ)&}>$nyE!*1!@*zjB~ceXemIz~<8$%P`qSP5f+Rw@@xZFSthAPmIa!~v9zR1dAwYXcwhj_-e{RHv_c|#4Ik}i6 zovVy?PDb8=3~ag|Mi=`Udq+Wxpi4$wlqK#}?f$jAb%*i>7m~KmW7##4G0rg}h3jX` zoNS7yr%I!I+}MShUyfpYDe|(wA_Y<$I;`*E%KW?8Uv_AB@uD#Ot-#r9l1WJetOXoW z=)aFVGrC_^_>s^tZzZ)Sy;EgCW%zJ~TnR z-n%$jGh#iBN!IDnLnX4V=vlMmp~W%vo+4CVc90DTloRJf50td&cSNl1US5oyfxpFwugi4U@it-31q)KJ1zQfogsq)Yx1#B3+y4%!3gD$XcC^u?$Qvo z{88%G@Ed=k-YNbfHb%-r8?#l}SHP3Pkw?)?BO_)|)hf2^QZL}M^e;#*YLRC4hAq3y zYb#X?(YO}7X^M}GW&xQdIyU+IVu89H7FZlysxjf}2u2?bi=*He`sV0;w`$rcRQ7k4 z#qw>R@Yw%{1MzEZd}H57y2km%Q37!Uw5U`& z8*?HZNTn8|w)6}gbB%p<GzToV3wWzOkZ1u5Z5ObX#bBp9O zJ~iHcxx5kNT-Wl!)-L$>%E~*zrrgLgHy0hO9i94?{ngj+SoGgtjk!w`;De3Vy%z3p z8#Q0!yzqW>zX7TPcRi-j2;{rpY<3myVfiQv%X^9u zon{1&$k3}O@`RfE-8g5F5z8~O9B4n1y`-|yD60UN4fSGmt`4z-?~0EZsuYbrjJ0*4;85t4}8 zY%cf(U)%kjg6Q4!^Q-HcCkMc#$MJ3MPifQN;QZgD;3nmWhniLdJoqh$%!g6P2LhSlB0SPq*3Ws1ZC0PJHwn9>nLI@UTqec8ifYU+1 z?na>g3$a%o!Lf`)m{}n2h2RfXPCQ7+rj3E-Nsmp0LspEH4FoZ57D5UU_%JQ};Mfo> z3M&##r(kys6`>f==tOA7L8uP~QE*6zmd|5spAc!?Ae|tP{6dJe2X1w*MImiytZo?K zgeQ3fR|ykkE`$sEf|h;4%t9V((MAYcg&PW@mM?@13|NpzhsP!bzIuV#gn8tnObJp>EcGy0!E9Qifox-KR*c?_XQ4DsJUoXk2V!70ibBZeFZ#K~jn z0a3guy166Di8WG32KAy4V8TPa7Q$Cp!}=7XTwWmcAqsKqJuI*^aH&FZT?Z`CCjwZl z<8*vMFLfjN6^YtIhCy`+rViGMjMv6Ft zavKBXJ>wR9LhQ(3SUy4J7`QTv7M2*1hZ7q5NXWxZ!E6IW8I45f5KO5g|H8^d*B40E zzY| zWk1bq`&J+FWO3{2WPxRFlW%Ar=t$Qc9dujf5DDLXis0ioea&` z6M6d`Gt)*V^G7o5c98OSQRby*=0$R*t^U-6MF!OgykKLOed+M3L z*8>&_oIa#H_Vs$~PhlQt^Eg=fap;j*I70MsB*o*;&1Nx6uAiEn;_gVlERiOAnWYYq zrWccDDw}1ekmh=k=2Mt`)q9r^=2WCdS|&QTaT373Xj@(bsBGx*B1bntKFhl@Y9_CA&tjv*yEo^(I!0fpWFZUJYSbjUlWy zCA*flvlg;h%O6%NiB*fPQu_m~&eyW;EU1pFvyNl4j)$dAAFW=Ty?$D`j^JsnjZOWt zuzHb_x>Nc3K=g(K<_0#C1{U82dF6%|1r3p#4Wa!Fn`n)UGL7^mje6{ju%mjVlE$T= zMmnUXCv;6gGEFolO;o;3c0={Z!;M-c^*%#Qnnz7$$Bl~xO)-|u(?QJ?oy}yM%`z;_ zaw^T1kD3$NTVA5IxQ4apD!16%wv-OFXce@0u(ui?wWL34Me6rW&`34bLDI~6l>5s9 z8^6tr&FL8i?oMS}ut?i$H;^Er5O?bluBN3pejnbxQ5lD%fcaglBP7%!&gmP5YQk$l)Q9B`-9aZTT3qD&_6^!^T7vNy z-ro*E9Xdf+I4d3V9!^@2PLz8Kt>{h+gN~Q=peHLGSZR)N(p}$6y0qQ8Sna+YhFEA$ zbUpm;z%x?vTC;pG0Irz%yAt+ges!&Z7j?X4{xR3qLd z!}um6r}M)-9AAf8N4iQ|$4ZB~sYU~qMrKaFPJ54r*^Dk3j4rN>Mh}f{w2rQek2&~` z;QEf8vyAOgjqR?Cz33l1_a3_xAJ5PmzrijBL~*O^vGo4&Pc7r1(_*m1L?s}Kr@sS4 z@#a6GcnKhi_W+`}eJLP{o48Ms8Ir(T@u}Nfo}}Z`eQ;r*_M&WS`tCiY_hJgIbL#%< zB>O`-5QslVY)+w=Oe2J*`O_=d+NP<>rX?RLq^W1@g=U`F6AK%9DMXG=w9XXR%&4bV zX;9Bf$IO6?X9vWZwbNa-+GbgnXN}UUjj8860a5$|kxu07SaFVJWD#t2PHK7DX|>W( zVxA{v&aJHIUHZIX%e?nP9T14SJe~KGs0IRYao_onvf|*j1q&b$kDT+RUS!B#h%cLn z{;#PYOQ%Om)rOw6hRehR%Z-Kr zs<+%=u+(n2*hal_D8AD3Fy8TDCC+wbh;wRWb%i;7Wg@+KN@BJ0VP#GNzd3!?IT#Sd z+g4XrtJcz2fkym^*xH=o+TO$LY}*=P_S%_5&4I+~IrX}L*!qOw`ps(1?dr;1+q(1W z3M>Rp}quO+wfUk!;iwpmfU2I0qH=7d|N>_ZO$9vSey7;!LMP0 zAvnxyZKOs-SCm^EG+QFr{meAm%nq0tX>es$9l4U77_+){bQRw)z=?FwHJU)UNv6whqmyhN zrhU(DY%c+S&s2Sn18LWi26s%~0voi?e75^GgTTsj&#}~^5VWtbw$CoJFNaY7Qf!T5 zGPWO-L7Gm4LRH9`qO+L z;Qnd8PsYv$&d<)HfZ+RkpT>6}_`a3=6MWypAHm^3@O}O__&)y|e4k_f4Zd+5AK?SR zH{{}9d+&?Cz4t}M`32B>({o>zX`x~``_N1>!02m0m0z^8+;4nVTk?-zJL4; zzOTF?S3vMBUxBXpC-}bl8+>26;a>y6xAyaESEp;2=xZSOHWa^Y3U5 z6KGcBXg1?$wi7q@6=+VGXm2yotTcYU`-BFN;9h@8@Q+exK2m6=kXsXcG-IdRH_^9m zHc%thQ4Kp#qrai*XQ9SF|MjQ&j{XHS-;x{166e3fJCMa7cYq4s00R}i0TsUip-kK% zLqK5s-$?kNKdHCVZ+>ZHzRKT!x^QD;0sQ+;Zg7tjm_Y-~Bn=+=i-M0if|)14oE_kq zZ{Vj{VD@P65)a1Q0kOEfSFvoLCwOcLRho0mnNBQQ;$~Cy;11ke)ap zXhC4IN(6Z{5=9mgs7fYFni(~f-+60iP?i-Z`&7rc~5;Oorl> zrf1Yrg$++<2IIayHzR9< z5}4X~o$W%U1+-LcS+H-V@!j#B+NID?e0LzFP}B+xSewsg?D1()E8jthE8Y0*%3~{fE0t>TmAj8Esypsl#!PpNoonoRsP-BpQlU zo2^EE5RzBDuQcfxLC7M8=kJW#JlfXlp3dL@YIIuda#ZYANpzDjSvbqoD~ZiMC?)!eb*Ry4M(qfwW*trf6fZHCt8(5;{f4 zjW4?JM!i3-`1uC1vkV9c*@bUF8W{(TetlcMLU?s zsHqvs^aVQ_Mqf@`~A&v zMIr)BrI8563y|wXrF7lx)L~4k?0UqvQrV3MrK;*7LMS@-N*Z|c^pV?+Z1+)p->B+; za*Pp+OCK(-8O6A5Ts_E=n^vvNQL|F50_moz8R45Ys8Qotiy*=lJ#OV2m-v0J6)uh5 zn==6=IyIS;clY3*Qo^acno<=yy_(ig;JlvEeq~=5^hz$|-JG6Mqrg0o+v)WyQa|eY z1>z{R#79Z9rIvqXYn}S~*)qpKTZ3KESIu+1<$jROKY=(A)nzmyWM-KD@!){G=w(ba z0FARK4Js!(K>~WsnL`Q()rhm>(yw+{WSn~dXB;z+ao1F>sYeS4#MJ<2JZ)e|r};9p zB7lk5oNf5^RCQu~WvPWr(XioV^_TX0CWt@VhzVg$QlB_8Zye8(1#b=cTaHNUY;rYg zb%wfGkI^Xi9y6Nj#{N=YoIe|mi&+fm9vTYvwq}&>t;jSN`2OO1Nb+7Y-84Tt6ePWC z@IE?JJ%Qh%OM~g7eev^X`vh=h33DdcIRdh^t$+nb3Y3s%#36*q7;@~UG2zCw!Q_(z z^1@RDpLP00=?K`|sEp;p0+@MAL)9Go;?fSx zS-3Zpo*QgvUFET`%93Nf2s4e(rDbAMevPGtGC}+mWrIy4lpQUPcNSYCzxbvJPp3L3 zq0A}&snIVi-7fmXs_1+Un8;J`MC=?&p#`U%fVBR~mJgugl;cGY8<0tVXoio<8P?MS9Y-Lp%@yCzO7vPKnb{%bw1{9j-X3O1sOJ?s` z1*H?qX#Afo(-9R7H1KFTM91f?p2L*dcj@C0pQfL0prI>whw?h-nWt^jei?eHd6w`c z)q+!KzR958>Ps7A`k`M_u1WpbyZ$u8)5OJ*l^53Twn;F7Pr+z*Sf5kZ_-QVCL|6b1 z-t#EUNUQ>V{Pf-DjE$Q8+pEFx9}j#Vz=m&R)*pWhm~zbiX)E9I^a$7uxQF8~>qfiA#3>l~mB)_w0u_D-gQXiwK(N zTr89#MQUA5j2vyhr}l>}yp1vsUgt*eHftYbV8QtO$`~UENV*Roly`ZB#M{}uACs!+ z-kyXgp^y{F-8_p`BCueeW+#QNyd-?jV<|?IJ3c_h&qp|FwXX3rVi~KSy#JkzSde?` zuEh7XtHugH@ziM4R7D2Lxfqvl^Hl_EazmTRl%r-8M*`dX#uv=2!(SutEm`J=hB`G9 zlNlzhoPUWJhN;UJp)wx@G>Ohr@VQmJ+&fLf99`aza6OMxox*5GELqF z)&HKp7|!x@?^oNoOp5n!{!A&PVoASx?&(Xd!iV$yi3gdPPoTVmYDIhLNczg$Cl(uu zPdujL)tzXo+PPJKJk@&tGOvJs=P@Rt&KCT0se{|u#Lr(38X_PZJP>qV?JsO%sV}^w zmGAblEOIuX6SaqD*>tq^!tAt3o(lroz|qsR~=`QySu< zwFEB@DK(?g%vZ;U0s=SSmY;-TIt(qZO1K}z3fynedQ}NDbk{X@vms3vf%UWB47V6- zK}?Uu%v>sSFSGNbD`76hmf`H!xy7u!NJK-PXUzyLnt4 zhRhjJ!!))i%=bh1jg6!LWfS5Fn~0E@h;R)xEQK$zhR?=J1Tx9@{h06kcg?10##@To zbiUdjKSbmniSE-kA9#H`R2Ee>YgTa~`F+f#j?DeML{#G`_X}u6_*V1vo#;=^x?7vN zYJY*>UTk`1V({iVZ(lJ`Y75eGQHw2I(k+{bex+$#(zo{z3nCeqZ84UA@uRqU?2>wt zRzWjn;zB`AN?6G#&aw zMf96Qhug(!n8hPRBv8r`lC2_J^ir}=E?HInJ=5BKcG1Jw+9N&D6B|+0xE{6Nb@}Er}6#lC8bZhOW&hNhW_pv2iHtc@bPlgMCrGGR;iiQ zq!x^57s^eKkLwPqEfbyLJOkjX-vuei{AtL~(x386Zw_4P^Jm-gA9(S{JZn~}DOVom z`l>Qmc+6i+Sy94Qfp~%3Q7%?@qbzVs(ejJ8#qC8$Ewne&P7L3)7ZKZ%wpHiX)PW3D z*58rNx$7{0KV(EDPKY93{H(J_tFvTis4x7H#f~63KTl<8s}PuCnjUtKF`K*(3S~yJWkrB)WIHysx@Ga7gyuEA*?j^Tmzu z=cx)p6@|11MoQa9TiX-;2gCtMs6=t<3MvEKb;`?-y;7V3m674jQK$+{PhZ`ACwymGGQ9yI-qp;Z0Ji8_ zc;D4#-oKP9>!I4%VbI9Ip^7e|`XNua_oRP&dcsFrawbJJhEH)A`^6zNHn3Jw^mrt= zw)-@0;LPkr3Q>9ZJ#>3Y@ki=pl=ipJsyzz^Ju&f8%i@EI_mjVKpCztHt1>?F#s^2VBL#&UNwaaP38esn;t$MAcS&hLAR#5+w?J8{J1 z%T)UW?Z+#;#w}|*hr4BLYRBIVPv3hBNnOu>8htALPy$kueMUdyV%NnuJ^ap~w7phh z;D}M-!vw<1yAczoeXLmfBY%4zBd6M~2ER7v^Db%J$e?SP;;pT*KbsjQVRS^iu{Gf={*TE-&A(Kt*`WG5~(Ah$ZhjW?{M_) zipyoLRKSa;vRkK)t^`g_=JHy5aYy8GDdu?u=6MBLiy7s6wWhDkwaUZ9J>T_F5D!zP z$&ZQ+|6Y0J{;16!W#JpDff(U}Gl%XxR2M3z(Vo`j9gPGp z<%>{_e%CI*xTw*qy2$=g^x5pV!R*9J_oVmig_v6EOSQCzrnzT5H+-V)jYskt{{v?ni6PO;*TnX(fi`y%``c8{z+C!l z>dW$l*~NM6LBrWeqYpiI%d50ZI(Y&*3^?jrOzNq`y~s04yAgA&YI3D*a|ih?x-(O+ zwaFZ>HJzySJGOh@?yeE4E?=r@UC8xa2h2Cx%U?x~i?qFJ9i6XT(XYQ+z9ZS@S&RHF z*M+!WjRLFbF8X%`85;DPPRLVlbmlE^rmbL&E<7TEM!r||T`};xpYTuHASm02XEIC_ zSp6cmN@{309sg3sdzC=2=bF!iD)5_p=_tvZ;n~*es-2SRiPVPbT!EnuC2Y#_T3`RBzb1-c$r=-NtLRSiGTbowf~l z({8WA8?0L4NnOQ-{UED{Wm7$r9 zvlt+{9ud+C!X z&CI&~Ff~zS`!;t5d4jKA<>6W=a26)yrXUQ{M#@kS<=P0N-rq!qy0jZeu1)x!XuH7; z+~t`)Xbgj&nS1S(kwm_pC6Q9V?fGyfqMxvuE@6_{Yrb;&!dSrS{>P3fs?iG?qm)vU z?KYF5z&TU{3$_nq4RPubeN*=77E$H9+`UFjaCPRj-3!%M{5Wq&)3%-#oBn9q5-yv+ z&L6)?u;wl}l;}O2WHz&zYshTh>mJ<`Ozg^m52LBs3`A;c$r=xRI8xbN;B_@d?CD#M zGcix(8;|mvm-m$sqpH1EU&Z}684+OqF>!|?-7urf&P5CX!VGYya0NR`S1XFjCJ^PxiioE&ey7`u} z=kJhD-Ab&d;fMrQ4$boR#{W=hlt z+_`o{7#&Vs7Aw{^cKR%8W#n9P|Q9tQ(*WJsy>r1zn;<@zb@uuu5Pebea5?Ugf*(T?KJ4c#(#@^9{+%AI}WO?=&s zsefLnlX^7kShaAy3lOphk+-;XxYhY|TN-(*J9p4se$CMS&Uy5juDBBoz$N|nc4gbj9+rjw?L9J+!=O7l z8D#<+Upgp)Ow@WJY4b-P4yB+CJ`?-aK?nhpaVqSHSZ&r8OqV?zjvhC?BUz-J!Waf)MBPZPJs z-sOpBjrG+ipxSwhPnQymO}EvgNWdT;6)o?_h-t%AoWNmie{g*at;VA(PG^nDSqXOo zlJ6FRbNQ$sDKC^mkG!22Mjp$Lha$|X$-LIZ?bbwJPtrv_FRu>8ST(Zy!r8fPh`luP zl&gex*Jg@tFVaQc!=6yoTHWObi{+xUOqu zBD@*Fhbuyz@?$gjAS+H?^eCxuO!TaRt%-7Q13 z43-FEjL1>$b4jH&m(LP6Ge36XE(eJ463#oiaT9gvfk6Dr0M(Ct9uo>Ec5*j1GIq+h z!e8Os_BT_HxSh|cRk+^Gg+AhHIIw<{SwC~h!dW}Q8_p5fNBD>%w7vS^X}R!`)zg@2 zUbd$ty2WAaMOJ!>bOHFh7=?ZqgcwCWNmv6f#Ywd4Gh#$%Uj~gX4-myYkz$@1Xt)x{Q#kJsDALE6|09a4q6|EX0|{>CX<>{1;z!ny zB>_ZnWu9GPZOs=J{{|CBu__WkLg+hm&iWX*IvYPW^7_#6`LiXg`~;(v!-DjW6i0>m87W6k zO6r%;OaC(Bo;%IQ25ix9{ zzcW)L-k9Ww2}oS>sOuiz-EbDkB>@$cwabLW9;p~ zO`6IxOVQcMo_E#Vp{K6aV^b*uYo#coeicV8mI(>d_7x`i zBZ|KQMDh29|2i}M^ot>}>i(w`OyrTCV>Dn6IC0w1MeEz#k~Wela=9cU86MFiw=nC< zcyK;5y4s>`uRZVl5IOONMK!xaSF!Rjy{ZYHoh}ZYTX*QJbg+2q0v;bTFf+Xfd7@=H zkRr^>n!#ZKyb_YU2?A!O5#hqWx5oMoYWhKHR?-?~h{>qEzWm+`>lY>4)MW(#7d?kc);Dg|yy8e=xS zHY!X^>}J~I?;jrf^;WJ!oY_XJWNEhA&2`XwmDl1Gp5>f+%1kNq_wrvY_HHg7y^ky} z-^!@(T?~3o=TD?Szw2N2XP+uv+lohv*uwxGS@@2)7j4O5&nRC`fN<3f-c{>JY)3m%`U6k%8<=U zR{6RlJYOIKbi)p%HOnDVg7LBymxgiqzb3Ur)XSy5C4Qn;caZ?;Wj%%y-Yjg4+!EVq2j zYtQBAzSUCti~2->WO_DU*})%Cyrix}iryYcfe3Rdw!k%?;o-BAnW$pon(NoVD{J-O zC52orfoS!}qnCgv9;H)P;*4^vyKXgCTM$#`D3NP$Od;QTb{+l^=fs4lWkG_lzC0$~ zPAzU}VW|DO#*EtDns0ewu3fO+mj4u?l+{zo zhMG<4?<)TKYrSp_&A?zqa65JC;ijQ&p4!QGdU*-)@%pbQj(oQf@kbPIKk=h9*qW%n z?PdETil>d@zq$fMac3Lb`!xplcLR9oe?{?r$)*Ms^^=4j$$J99O^tvkp8Q7?mr5Vq zr}`s`uZW}HOh^EUy#E~_iUZ@Qc39E#4~O3+y()?_U}cW0fGB=9-!!II^?CI;iTQW# zD6UiK^VUP-Phu+;Wo`jA659@$KUXi-?BeFr=d3=9ZJf6MOdd}^^JMW}SNiDT$DMKE zk0-wKEyK$8IU?iIlcu)nY38qCGyNaEH{Lr??z_pj_CJfJM_Ltkv%sQhIk0F7NJNW( zL{tw*L@t0t^uI0;f5V8PVM_DRp#UM3K1R`?BfI&I&Zi*@9#JIuQ-1qH6p_l<{+8bp zibyoZ;N}#tw%@}kP=5PGXvq92zZsE98Y!^_d#rP|Ra2WlRqeH?0I{@Rh7T)wh93A+Kx4+ELlpPk-^VhbwT9wGrpmORR3Z>K+^ z^Lebf9j=)D>}ZMm1{vI{$Oxy42%uBQp#TFmcr-n4*MNLqh(eAY*&S_Uz$QyO22H#9 zR~bE}c12~dkEF60qjGNUgIPqHxxyV?#6~uxXF!BBKj&9or1Xwt*NznJZa7sww0Mns zjuG@H`|he_lFmDP0=~+IcMfnbZ50P*6Gxjzc<)LDHkMJ;Y5?w-qbUTB6Y?qilheEu9QjCL4^W?U}BP{LuLfoec9uwx!@gfVj z!CY@x@=2JzrYs%7AV;*X6qh^cB+QX%+mZvj{zHlZAHN<3vPg^4R;K4l8GQAQwTPHt zGS#G@xij|8$PMkn2n(X1(K91q1tAAyONnoBZ*@mNU{JRu)C03TfCe8y(CY;4A?=tH zvK5+U9O!{N4B^Pe?E^tH6oEqnV18N^`NMdybi&(%15eh7p0Bk68w$+_5j|F4IXlp! z*g{~Yaa{*-ZWKCLOc8~2^k-I|=PbUykO97v*o+;KxTf+n*1%u&F3QYl?FZpKtY2&j zWlg_EGJ?4K26FobzW7-mgdTnzV=3bV84m6E^(lUEOM%=X7u6Mh?NTf_Jsz< z+sD?ZoYN2YC$uTmeOsC>ailzh#><6f#hsAF2n7ppu3u zvoj?!L>}1D-*EKE(`e~1%JorzAut~C5~ZagHCfJ*7&Z<0Qw6saVnIfoSf;OijK%h4 z5gx40l4SwB6oERNpcO_=$@~}9W#eZ|l6eOj&8L>K7L&3@9Al=OeJNc-rje|<;y1_= zeH6*ya&D|MFVQ8DF{tj4NwuDjz#1*G6@!qQp0!{Bw-;hl_~WMK81#!EMIZ$iA3awD z4jQj<>kQ3M8)g&+2(B9)$Y?J;^t?Z3gBusJ z7siAowh5oB#94>n?pNY|hv5CJ#6v*v(W~(BW_bu6R}nnnA!Ml{)qeRXwydU~+Gx3Ru{c(CwK?EUXb@0I_)^d1(y z92DJJ5#C$)m(siRUhRLX^v-;c0n+Y&8t-H{Gz~7D09SH{>pR2W*uzb&A7B;_*7r@? zzw3qWs|6p*1s+QI;YED#ue|U)9(Xncp1}=I<%B13z~k8e!^V50vb^NqHQq1p+%)gJ z{--nV?I!ZA7P9qkWUF0d%e`ca1LSif6f+YPQ&W@^v;XDT8y?N}5XthN0m0M4LOy-^ z)Zk#_xyYF=T;!o-Q1qq!Rq%l%2{ig51 zp9(rxXBo$&$qMPUt?~?_dA3Y&uo)afuBhR^fa$sh?%CLW?yZprMBWp+K;+F?3`E|e z#^7FQEL|`T5P3sYnevhFH>G>L1vLV+?r-rvOM;8mqfoAI&HhB*6G(~peB+YvbA}yM zMWdhNL8yivtNvru3$&7$#(vMGCd`F;#f40H8DucEr?8WL6UU`PZI-@lCVxX}^htw{ zXkp4=dI_Qu_n!P1kJ14*eU5(ScX0UCI#d^C&z!TjBGpVCZSM3#QJ2-8k{JQ{oP0{n zHc|W>%bdErN!G;L>0(gXRu(KmTJ89xo3C8>BOH z^ap3d1HV>89HnxM6VIsdtEcaC_iP|m6SRK-@Y+Xe`I#0hRhBJ;~%%$k9RExB7#Gu?d8Rm#Tfwryg&2B>+ezwnG{*Fn>5PHVMk+oc>FV7ed8JD zIT6^B8fo{>he)`;eqXeD!*rCBX-|DFwT2b&e{gr#L2buxfaillaHmCz7k76nP^`E^ zvEWdgqQ%{cdvVv`PH`_%T#7pscgThQc6V-WZ*O+)c5dcwCjTax5ovEKlRA>kG;bXnIz-(pGcU;}Zz#Mc4a z%=LjsX^P5|u;1@E0nM9rISVTqs$elBy!`8I)DH$(X%L~ZRog{jk!mpmHFp5)2)z*2 zZcuUM(}eaBJA+U~uZ}EmvT`nS2wYxnwLK$`V%Mct#F~31LZiRz4 zdHVpgTGK^>fG;8TU!5nDUvyflMx(`W&eCQm;GCX@-*yw32$~;+!JyOts#Zd#cwweoH5ah9o}18;(E60;fqdVBuU~vDCByCr<|Hx+3m; z_+1bij{r3T4j>q8Obh`PJ&M~!pq?9qGwk;>OJf`I!}*bWSPZD9JJCK#$Pyz_HY!t6 z!>~Me2`#-?=?!htej%l=2Lo|x3^pF8yP!xM=G7v$x5L$KSkW&T%+GO(ra zc(6zi*5z(;=NcPjHq`4nI7?MiX?Q9Gao-8^_=%~tdW#-)h15>6-uIAyAkAWNO_Pq{r@6_a}ui*M3n zDL(WXe|uPE)eBK4d5|%QW{_ro(LnR(`|?g)ijFE)>xaMMtk9&t^+?e}S{Y@K6n%oJ zHy3@u3$>K3KP958*ocBGZDo2GtQf44D_81AP72Jxfv#QuhMA3!cNqBv1elZ)PMcg7 zCP~n<>*W?lOr%N>D6G5UxrrH6RCU%kaYc!Edvo!@DTwDuX*~?O(?yzwfJ16DBd@_g z2z8D@Hb1EWgh3Th;iP8{G?& zREI{x84+g;A`>-&>AjE52b*C=$avB+746T*)=qEY}%MY|EKIWHs@v>f7$a} z+)}#zWEy>9QvSG_G|Sy+hyK^I8W)CwoTuYt{EHfG4h&lkZ0n=qnJU!QBY)ZZi96vC z$osTmrVo|gRYI@Q`yLFH-WZgx(i`?wdan_`O7FCP(p%}D^p1U%-c|pkckrw9#`q__ zyP-i)u(`^!J+P4Ozde__8$Z^BpU&H7JzqrXb;*niR+4l2Dxp#!)t&;eYR z(4m^>{cIg{`ugp86FPwFg%02Xp#wNb)#K{l4rmHo5SjwNg{HtypegVrXbQXzngTb4 zrog+PDey0^DR2R33j7+H0zY_7flotI;Q7!LxFj?M{tcP}|Jx2tf%8LC;Fr)8_zpA$ zJ_1dFCqPr+RIe#;M`#M1_%#LY2u*?GzNWw(Fz75%v3S@f#XX?L8w){Y65#h8@RkVS zaR5X{guuvU?vw9tbA=xXHQti}SLBA?*a+q8=v@2g<;pNn4W81C&Rv3@(ygK!0!Sgp z*i#PLaX^8y03l%^Z2ptpDRBXMQ0YAxpt%r$R!Eql9H`%n&X-CEWDC@n4J-!)X@vmF zm4mFcgUaKA)Z73m>p@QYL7Qj6df0+msiE&^aZ!|EeD6ZP5e2Zoz?lvOmy?G%)CLF3 z2Bu7cQXn-UaSLJk1PIRB;pImD8ZZbRsiFOT;ZTe{g%y!U7h&Iw6VV*DhK2BT3Q!^& zxa=3Ek_?bS4!5xk)pmovad=Wmgq|@SP2@7@>+^RB1CvMJzII zC{jlgrd2yUz63w@EK-Zeo&zSLmk7PE1P8S{s@#vTI4oj14D<^*+WKp>HX__CU+8HV z{$fcqvn;}Yr1#T8?8{v&AT9O}5ju=c9HK|ulWYufOB~u_9L7DgWR5ZxhJy7U>7Dld zZOeC(((kF=G1ju*NuknP=U)o^J}wz6)`>4xivr;W>b=*)**2mJ!f;I>VG%6!&_Z|A zDprhA5nvY(zh@Mwn41tom z<2Q{$G+_{!n#23Vk~xhNv`TRt!eTsCV3uma>=r=A$kDC~AWQA&12%bG7`R_?p&Zk= zdCj;ELxJ4QKzXR*j!TGINd8m=FenY-y#oo9U^vrZ_Sl0{7_Vk5)CzBio;RxbJDdM0Z9%heR1jJuo=gA{>AW_7)VY%{FxxlOuvv! zP(dbnU#8D)<~#VTF{&(2>8w%HEUUmQ_o6Jz-mHhsEEmM=HxPI8O?rzR6o$P6`d8__ z=(zpH&vGuCjPi%A^bdHG9~4MG{#u#erI|n9lR_3rVMczOxBP(D&ViT9ME1;lNXtPh z%R!VghkMAuV8}(6%OwEj;tQDLrsonfn3Im=q8{dw5azWR=cW7S85QNx6XqiEE5%*pJUT9JH&!W(cB1OdF5Q^d;@nSji z;z0jm|J-7kfnwp}B6Q?JMutMMhx|{#k`HnvDhvfS5QdV^yTu<6OMNLyy~Rr<%uB^X zOR)A!!VmM+TT8?R@`E4p(nmn4K(pd>!ctGd@+H$sU6;ZUhiYBIIsw9lbkimV!WJN5 zo3&}j13}jk!A}9x-X)jXbcg;{g5h+6(Fc?92!dbM1XCj>Gr9z`0tEBvCX2eRgAoqP zZwdZ9;BQ##Y#rk7jNtD9)elez^yXPz44!J4Pt8dZu~W%1f^ooe~Ank?O#Xke{zS?$GP?X`LB zCvmW%F?c4tRyPDZUkcV40ORk0pMc<-^lB^!Qk|TCoosHMMQ@$VM%@RP`a8;cyZ7KT z>3T{3dhy))Q>%Ilxw z8$%fyxQWX`BC72lOC7vwY>68j%Nw2L%Us*Q%A-wQN0sI_AhRRVzzp1AFWgW)Cx1Oq z_$YC7hPw%)eXKlg0wZqHa^Ck*vy{j;8O!czZFX6YIJwI>`O5`Ayo!Au!Nu}+g`+r? zl!kezDBl@wAGM=`X?)A&}zdd#|4|3w|C?uBfk&YRK}Pr zPi?#p;V8kFW5me10CC)5tSn>5@;RbFYJii1os(WDGpHa3%Z@{vj?jHjN_WTEXvZdb zFtR(!wpUlA2Pmng^QkRKg8<>2xI1OR0VsxXE8l6_0zxLocxvlBU`v;41j3MXuMB-r zap=A~ib5ajx|au`vi*cP?z%SbA`-y-(Q(L+k!qz>orI%LQ z0(>e@`%Dl5vx4EV@&(x_y&U3~z9-*N+>$Zol}PB2UXnK8*Vc;3S6r7dY|uKK`Ba$w zG#rK9MlU|nPdJj7S(KVN@~w5GLa4OlX(au41e{q~uRmJ$cC?v^2s$V3i1Kc2AFa%6 z>scxKsXyj(K1!22HtIe$WINjTG{(O-HXTJcCWJG8>cG@;@?aWOUlO@U8BQ{YUM&=k1Y)C4)qq|y6HGVw`$i^=G{ zUt#`}#6KsO=6?avtFTC?HU*~evRny#rjFC6-kwyEtWIfdOunI*UcH?nH^8SR^>{Bl z*3~w>N;1x3S8+}<1Ay2}a~Xi4De(8u6nF<7y&bmbxQn0RTs5EhN&H;xq@?HpT)^bDrmZ2rnTREEQ!<=4CB;bSzbj&$B%*eLh(NE4G#x zEQ|RpH!J>b?O2voT<#oSfJ$#i;gvqp1*r6 zHddA^SNR}zt80}@wWMny8LQjltMLA7bj541Ki8=D)=slpTjkgIZPqr>|6HBS+(0AX zS%2z;*Iw-A*Gbp$r~bf;%)PExbH($=9 z9p#&W+iaT=Z_GJ{(CJt@h_Z1V_%>NYHg}gnq2Zfc6X@)nn>>yvtesn-Bp?;#EisG% zK3^Q@(FuYtn`W7yX5?+|mk3D_Tos3HLBpSFnlK6&+rlr~G`U-+hZ8yM8E6fyHEZzNRS1?b!{*Kn5jVS*ec7Q(69_-Nu*w9{B z&;YDxKiST@0cc$gXPxV)?KNkpU8rq2s8~NxaekmSE1x$xpf(zzHq`u6-)HAwtP3y} zD)py}8i$MOxC;|%ZK@Nc^zXrZ}M3Do@kp)M^|+T93A^UJks+_g*1wF?`PAuEy-7Lo}jk{Kq_7l#}B zbws3U9Y2KhZwOjO2-%+zG`iu0YTyd0;RM)h_~IV;i~tp%0aZ}% zjrI8Iy_H|RH+S4)%NIBvEVxcqI1Vv5E;hKnPfwH%PtdG4jWR6th8$RWXbPP543-7!1&i$k3kznK6$Xb5=I|2?9`q`#1J3@yT(CmOlp$ni zFn5@+tLMjh40`Hst6O5E;9Jz!LH1i!K ziybc=MIs(9MH5fWj7chi#|f3*5w6xjq<8d0G?px;Yg7#`4Kf=vf+ZK z@y``FxEuLS*3a$7%YPc==U?=noi||5lJ#tB3kl$?azO+LAYH+Z_ij{|jOOZ;qEg_RAWu->9HXOBNamN{5|K>c?z~AxNL3Bx6hqm%e<&&0tavC1ZGWyR z30ikOKoONZX9flli~KhLwj}qrs$C5Qq6R3=AMvfZAHF8G`G2@Kg%*^1=l&P&9r7RU zO|b~&-nlx+*--9n^~$|%=yTTnkx14X;l6ZSlj~!OkQ2gVv5D~pqH$q`kq2VErohSL z_rw3Cz{&Y8WRc^fC`*wOlm$#^lJ%iUpmbYR`1e^v2gC1kf+&GF`El`P^hKF@@C=Ft zc_U>?HPeTU!rpONLC^tP$)LKHlnkCA8jv6CLi(t1$V#vUgRx?8*!`K9yWbc?3z+2#Ci7XXRrtQ(%t7OMyOeZ`rC7RO3l5{4++_c&~MJotV* zE!*>cB8%2txTuAb)<1RBwD0f`yFw)%rxcBv}wneH& zknWf9q#y$?;f;BtP>^_SOi~3NQ@IX{pJsiLMx_nNMsM{&6RD58$|;M{;K+I&5$J>k zp`kXTK(~UGqU8AQWlT*)d@v*K8}T;MWoGOCEH_+#{}E)|c+%~b3+cr)@gX`UUnL4Kr_8JPa;9rtT4Yl!IA4DhlwGUAq3!YMI!PKIpPF-2xbbR zKzAIHB*(!HR|ulShY9$=av>RICPhWOA&V)niB0AUPd$fSiXkHrAD_BSP4^LUfUXW! zB?cGJu)HoX;;fxPKQ2!Tijor$F6;OzSm+@9lP_#y4)l{t(MPDn1SA&Ff#?<97^!7m z;FU;yD7(p((_lABD&Lh6)m;Q?wQeR=`_V9&yg}6&F-fk=p{Ybx9@WL|PHt@8@k5qV z*57{cYncp&ajmr>f9tJLc_1sg*24Tr=WVEFJx`~Km6PpT z(p>YwQVqpeZCo?M>sGDK8*ZB*t_+G9%~&aL<#z{DMCv`-?AFzjc*xQ4HtqAx$DiR~ z(E={erfLhHCeLY7Tz=d(orV0^PP}vW(GKeeB&zAOiPRzWtXOReBnt^#H*o%LLPhxa zim{b@$D?^_&qpCA%1<8q>cy95@WKcEGoDw!$!^c?g?%Dof9%ZszMtluyqWFJIaAwz zI&|*}J!H*$&Y%N8hbpkcr&>oSrLV)4=r0dyJ%2nL5N7@o?86a|DRjPYuCH%FhD z@KRAx5ha7BCPO}qQ}ns<)#fm9hrJ=D9L({Q`u^QEoX(kYRKIaHRmag>r~VD0!@k`dzvJZoNvkKX1VuT)uk(3ZsdqlOqp?-y#v#G@(o30@jb$35ZCx5<3DXrY5 z=qSo%*=o8fy=iop=iAZvAAhy4ecXop3GPa}m33KT!SAoPJvxpT>%8vK{@gv>e>wrW z_`q||x?{iX3XYl2ytE3 zluh~7h*kZgGOlKC@Wz=jwmd_>Ul@C|@N5``yveZAoK%uC073iZY!{9VOw{)jV}-{+-DpI4C~}qn299OnVsLGPXE(<2nts|89|j zc866Nop5UogK3sq90FP6rhAub{2hnmxL(&QYr-8!oj#h@GrOoI4+~n8x6uOawH(|p z@tO5)YtB+r@R8hfrfvh_X3O?vYMyN!e38$=p&ka3(q+UOV z?a!3IEYu)NX7q^GF9erYZrI4r_G%zFHhn-lrBD94Lbql@=u9x+(n}OAZo{j$;giO< zt6g6j7YCBdmzH5ciM^*uLD6jfKSBCAqMrK` z+@6IAzE+3k53Mgj0uMsM*UDPLxfi{yA=3hvo2^$S+&4IFx0G#n>D&*hZ3#Wx&r1!d z7p&<(HZN?RcB;mXqf+=sdc=fWkQbYUAVc^8g_XRJ^(b5M0-J3HgI!%2)@WHusgR>! zZ3`XmxGDPtC!?!8yK_D}r>K>umrFO60#?Wz-G5hr5&Q{klS5;at`w3c^cJd4{ApewUiEg= zvLbCvuh#llsNt#ojm@Z?3*(pHwJlN-vyZhjE29V?W!htT8Y(`wdWlm%FjJHa!;x_4 zV+T`jtQWP&0G9|y(Ac1kh+hG8bGJOn=|t*xO#H zTpwbZ8YW@(SMS~Dl%4hLJ#?=8)m|5Zr+C`iJN>&iO@2H=Us3FL3)u<3WTK)}5Z5x^ z$9pfSgl)yd?fRsr`t_@>6twP560uJO!*Kdas`_GCw%zK96D-l)IhkU4nSwe@YP!G0 zxIl8;=$}ATpFVT_!inO!RuHeKZ@hJBuZj{M&Jf3`69>bq*R6=xw-3C7SDxCEo>uz} z`$5=IUE*W#LKr#+M2@Bcxl%%=N1f@ndQYYd`gPAb+$<*ktdCTuFZC3skcx()%9wZE zcu?;|qU1vQ?4&KJ9*yEk#E|eda|DU#dh3uFSHe8n+|HXha%Rmt8>#q$uGPf8#DcyP z&$(oHRzQ@h^+{hESGTg1*e=rt9WNy$^$!l94=D9YPSO3SD@uj!{eQ2z-FEu1qqNF0 z=lM0-@!QqBcjSnogv`-K-v&uLWehw^HIZEjxuHrlDQGtbF@~TIwvxz%2d@l0Q$-jI zMs^5CYcwk|k10JbV4&;t!c3{`$V4ZMah8wy>q{P(PHDMLrH*$BR4j(}&1TMOkTl3% zZcS~fism7xLT<|y3;M_JXU1jQyUan;C9cz@t5W4j!?5rlcG^E8jD4*B(4WmkUyCqu z=>4HZP>(}#*~LIkAO2St?x&KVK?tzjKJRVUTq&Co`@mYFqllmK> zNe80a&6>8EU9#<0-K$vJzxsImteP9u2ILwsl9xL(SjM<&Gq9a0@mBM|AGp>Rx^?*@ zl=R8B@Dt?Q^D>x=_vz%9gs?UR$z(9PQ7g$hyzsih! zc%)eTJWks$wL_zHVQsiw@li#gdv|-T`g)GGD5n;G9*jRjpZ(z!?Q`S!W-;E+3#rdn z^&_5@GhU=ygh7AqkM%@5em>!8zfkK#xK<>6u@lx`aP}7U~DAYsRSo#oRn)UYHZA`EGpjUtf1=}ts2~9jK@A1 zP%7#|)HLUcxD88ox-=UF%1BMLSvD(z*BF!5m`*g04BCznX6Oc#oS)Y?NzIwu9Jm_WnU7>Mk zqp_;=92ID3b6hm?#dsreu58B=HW6eSZKzjdm~FOsvsvj3i?%XWWpSch= z|EjplXJDSuxJ=oj$FXK5lJ(gdQQO9F%YXb&4@f>J+7zI92dK z;!{tUN1&&Z09dtTFRJ1xpjE_>YbxZ59eE-vkfgv+OsqbTt#a4^B1? zq1B9Q-%ur3Q&Up?<1!bCxcPo|zoJcduToWacgarim>GR}z<1N}dFQymgmYZ*ugk%x zn-=eL|JBKHtKFweX=%&3nY$CM+9$Q&MFT%+)C0M#`+V$XB2OHA7nXJ%gkla?JAbc1 zgXIYJpA^R`F;=U{RJ@ezy$NhI4OI4g7wdctbTy9jNG*vw>C6?Y4%72PUq)YdsCpOKFkN}1#|UKnstm@=iz4ulzwgOKMP{nMinpW zc)!-A49~ww&DKa85D{*GvmN)V9MiK-<*QB`*JiWF?ce=5Z6TObZah+9aVjJ=R5zdN zG;}H*w|vj5)KfIAv!-j8wZ>5V_e;MMc-4@8?yr%i9;DH>X?63G`LayN*+k)zU`(rH zRqfvA@>~BW{w{MA)`e#uQ`BG1Xn&jsSI?lHI1Jro6nzYv*QFQjRO+1w8jHO&>ufd8 zlyr;>ewIs0u!g*atU_0B2FQlg-G&U}l7sF_{@0#@5M;`%s{Z~jDbL@n4__eN1SU5z zJ373!aniQ>NO}gh(@cY3PIoSzrL{%~+}vpX0QNRvimg1akKwc~;pY!{LfyEkK6A&M ziFe%Obvi>d^zD%>M4Gl7kRD`7Z$*?Upr=^ih+esfp1Y=4ObOd##JJ0T*6`f3n7g)+ zQ#w*0-1nVd{C4X?ihn15HKkH*L&1F=lwwI*WT}ayr1cJZ9h@qB4C!P4>dj9_&F@6- zU9(+(H4@P>uCk3Myc|m&G5xW8ZMS>l>cR8v2C?`LQt{32fnAir8{puj)a+&U?TrZL z!^He(?%qir#MEs~-<`l76XY&MFy(IHD4qO}w7MtjdrBB>Pdxw7P&Eaq`s+e?YDPr+ zRhi{6KiHCF&W8H)HO;jRtvjeW)|Kvu*IlFQ_W@9Rwo=UPPABBL3)7A5%X0iTy|fTD zGc6A;_uYPXH$+iWB**~?o_@yrL%Y*I_Oz4y$##x6PmjDZlbDWE)z;%3)`dvOhOq7@ z(;zm&9{py5wN}umW@T8t<#-w0QC@}iTkf92yTdI;ElRxx6VP;Au0$|$EeV$_)|eOv z98B5$UhI!dAGe#0EoaP0Vb74=;lRE9tOECAHjwTfeO8Ifu5uF9dkjrJ-HrBx!vV#N z8ruP|j;UsJI+yiS%?Ib*6FpAzkx3d!b2LMC&;FnTRK&5AZbL+f*MUhYY6^2igXM5M z0_rxSR)unvYA{kPX}atF(8e1iOAs_1<#^o-5!sReJ^^>D?88qL-c^o7amf#pSKkyiNU`kYaPSC zryYSIa8QtsQG8Ufg;A2zd5HliO!s6cD=lkfD6edNV5q1a5n!xrSn_17YB_u;6M5La zJQBWLF#ROlPrw)}bWVqgDRj(t#Kbuz-8RNCqMd=(I80Jk$v%K~S;@8m#6@fA23(@H zcHU89wZXqBke2|mZ(~W}sF-0(6aSOmEfVn`D{=~O8X)~YC1+RwTIWnI@6{2%Vk6ZnM^@SenxnkaMy zWrTf?1Qlw&4S;jTdp&L|9!S|=x6?wiJxS~L$hdRa!ZS9VT zRv+fr{_D`xgphT`H7&LxOj>zrsFT|Uf zcQjA$#o!>;0sa_?IfMNB;@IiR!7Pcn=&t*c6mL~<?&FMaD=Hj`EJy;#_) z_tQ7v?;N0OiIhK__lB2x0j)-ml(`y09ylqdphIhfeBfP}B$|QX57p8NB(E z362cQ|2H_916;^#?}4hnNvXv)7F_kY1U2vt(-0!|^iRw=`Jh_{<4)zF>exF}BUb8E zH0&Za;>}58LI2b~Um~eU8U#}}J`)`N-CA1fop2SVMQx>I4kqx2NVX%&aa)1`_Cs4X zq02PL+u%9rd_=jKEL$f-2zIX4Yb@0=-2-ch( zV!8)lYv&COo-g(@%hz7Uwex{5c`xObfFpkuSSLLHvAccP+SzWTbS`~5jZy@IGV!mD z4u<6QgeZz7)!GFP!NRV&-A39qfm6z~Qg*2r@8%?P=o(BU+f%W*3Ghofu+5Z6((p)Wn=ByoNSv>QRYH6Z~Yqwa`8{1KPH&YWSh$f&AG;E9hur*y&bB;o~{mM zT3#e*;gRWNj(0BCqhU>JQoK+Ujz=e_ir_P}g!;FV2&=fe9fgg=(2SDuzbGFRfwOq|ET%-5Fw<_DU z^4#4vhlIA3U6GsSUngZQ?&vqynP+w%hyNM$q!rU;!^=N}neCJ$ zDY(UWdpj({a+#JPushy(KmJ+CDeG_h4(1?#tB2BMF0Syr80*c{cNUj`$EQ8{Pj@r9 zYgc({9fyTV4>h&f*Co8(hirQfEe#m9wR#=L=16=Ctf$w$2_18G?p{m0WbQ51&&O_E zZO>~H)*XL+PTy5~b>92Bc0q)fze1_!-uthrQ0W~c!@qvA`c>ssddGee+GYQIe{P?B znG)-^_x<@kQzrW$$jPA{d*m!39%l=qM7&ODcseN6Ym2_(ao9L+v}w2=M!jBXbl2o*sL$-&^^;#=$`3J z^~-f#*E6&z^t8naxrY{oZlFaW=$`2_bkFn!A__pv0br2B5ahs+k;BqL?Xyzaok|UbuAlj27x#b}Fk|T%YAjgoSB+C4&7a3WZe zS4n!XvM}uJMxtVYG}K~c3NTz}y&~jrc=Z{u$GuSL9awfpjs@IkVFu8)uZxJm(dI

    LuOo>NkiaU}&G9f*g*P&97|Cm~?FeSo987tXH&;oaz*gB6}H+ZdnKmj^nHsTlyU> zbn6xmjsptFEjL=Q;b@9RXx%p7hnTed^uyMquuugE^%;Bm9hDOHze6> zC`9`kshQ2QK1YG6EpV$$(wT0<; zOx?^Qxgye=;unFU$q}$dd34ZpxQkg;8nxVuBrlNSBPD=-6Am_2PT{3jVUC)=$n=f^ zKr3Qa%0{U+p(k=9sSFF?Sl=wQHDQU@dj;fQ^TpETG|WMzMxbUpO0udET65FVp*&q( zJ+RM?_Ddj5qMRbnHV4mkZ6S48(2j;KsI7fBsZ0Yan!O|_4(R4E#LJGt+OV@ui3DX> z-q4VF=BsCqP_LQRzcDY3E3)!5FXieL%>O! z^U|;aSBWf9cp9{QsxtjukvM2KJdka|ywt_wYfO>5^|BR|=NrM&s>4>(`+;lCONln* zb(dj&?{q-*_+7rN1Y8+)hM#VRQ{J9?)q8*u*yiHVXgb3XXHLFlD^3!1`_+_VcQ}KJMld903oXo&p))9MWq#%ZQ%u? zLUfUNyQRk)Xk-~o**g&t)M@DvY1YdE(%aBhJe+NwD7C4`0Bsrao{H`=!tVm`JsfTO zwt)E_%vfII8+wQ21JQ~lSUTd5=|K8TnhJUg=r0o+XD|OnvLJb+z`Qhh1jI|0yZt6t z8*Ek9UfRG8AaJ8ERocpHwaV`)1v}CM;_}#bt;)`v|f8l7HM{OP zq>sd??#qO1%Wj@55K!YuRV$B}l}=Iz(^^cono^zGcZ0t)zNI;{{zJ(_$u30s?77^I z69~X$W8dE6ETSwN*)6}JVURX$!8c{+>Sb;$WSY)nHmqv0+r)mMWGyQ^Kka2V|9d3? zhr&pVA{odS%Z>LL*QA>jl;%HLc^WCg}V3UqG4U=n34SnQa$c_ zQtw!V$-;`;n30k!hjZDBldudUJNRC6#k zff>6vmqrh!K@GtHl#W>Oip&fI`(&*9PjHmSUEX)>o`R@ zxn%0NK5=qu)p393P!{ibttQUXBCGoyqf|W~>w_Z||OG>6*>Qj9m0{s7U zJN$ny%J=s+*4MYUm;VQ%{J(35|M#N&QQ`l#C{KEkPkWJoqVoTU@-HuD|7%crZT0^{ zR8D?a@$R7dzvRRJ2d@0T6~xI0|4{aCQupk>?>wMuKVoP(Wo|rY1z&Mg-Ef!R@s>RB z6+Q~)Jqu^Qh-AEor9s4#Args@|9MxQ9uXGj>EYnu{QoK{H%R+GN9FPg|A&sa2;X;M z?nqG)Q6cs~E-tSB>yG&UQc6>)et_h(no3I1Uz<^>%q1$lmo#+B0K6R6!0`Hgg_1;Jb;meoLwI&l! zKBsH$k4_=u!lLg}4}^+RW+6LW_Gf_lUr&4qV?r-Ap_BI6#_!hx&`hM)TmafSPwG)JWGCt+J?sB;6*i%RlLF>&fwMb(h&*I@g9yZsPT`TYvajiA7s ze{K#_WWr395&$%U0`o?E=Z{u^zT02k0KCgZF;xz+{&)yl;&%MYdZ3>8XO5O%cAscn zx@r2y>S9HoR@{DyY3km_`op_g?s-j#?;FCVt3rU(^K$W@v=2*rfky?qQ zC-kN}%+$CuKo4ZGVIgw~HM9uE0SH664)gTAPVNtW+*Q$A zQswuKm&!Wyj>j}?u~}-s#KOvKXMx=? ze_zxn9q*`Tr~ql+A+hXxFZrcne{Z(X24`z|`z7hrD*T7oaq%wAJ7~K8wuTBEC>Xy@Sw-?NNa^kg_r67vOjaUz4 zV=>xpDUyp}3=tOMuoJ*pUgPtrG|HXA>5^7XvFoucke^JvppOxu`AE~=`Hz^dR-W9B zeQ<9tAsiNR=i4P^x=pGW(Gm@jUzUF*hekAhK`H`c6~d5VNNsdEXd6UR?=gd7Q1dLD z0;M*uOv8cxKYc4CE0I{tzG)H9pM>zn$thY3!z5BxU{OjCF@zdKdF6^zOLfXMUb?2Hy?eVJRauF&+QxH!bC01>r3C&MDDxr4=wjH0n7(n{of0ij#0eIf3tz ze3In5Xek~)l_Cr9B3?PlsJr#hE;N(HJC(a_Thumuf-@zKFw|*K<$-iP9|eYp8kbzo zx*_)6g90*Y?u?x0065fLF3W-=_ZPeZ%qNOOT7cAj`{(=G?_?Y$;>7&Hn-uE?qP8WP zO%LBg-%{tn))t9I+>{tkgN3MU#x2C$IldK)5vk#Z-QCoFh&PFMgVX8uWkA%rRw%Cg z63r-Km4hwmL)v)f>#LTdCkk$Cz>Hl<4INC| z#~wsOSv+0b9QwG>P_^}V3o#um)P1I$g>fdfSiC9e56$mzi~hI=(isB2mhlL+!aqz1 zDjOR*mpOI7>!YCQUJl$2$tr>4Q^vMw1@DKIW59{U3OfvX_aoX9;N+&U9Tu`LSJ|wtL99Lrh)fp2D8M^8LiuiMs6Du|1K;`(J(-^*Kn2`x3+t zlVM8rd4%Kp(t;0DaWVA;?-dW^^d6>DC+drM#}Aae9%gbd8cJjo4^=ZBewQdUlxdA0 zLK*pNO-w_Dh2oL!^21#7L_?MP_>tk`!+bYJV@)VCK0MbtEcya_ZHk>ayp%YSU|1uD zOOCC%-ts82pId!X2b}fi$K}r%^>enH<=cgL$X_^RmH!wy@G4Y z+3p>;(c4~IUPuqSP2Hf3({IEc>&T&YcrOO0L4rb!2=Cn+-YK1fpf5a~{k5N$YzUqU zfT&@_J1EmR$q@InjSk_4w!^CwUfbb3F0buy-q&_GunsE9t0-UF;hV3b{FL~$9iI9s z%0=G1it?COQJzio+71tT73D94ukCQpS5a5+l@30qVUT)B8g-_kTVXa=i+`^suhIyr*sKY=bl zhwwJkLWB-M8qe~3ejw5ye%Y%)54r*vc~c-%tfQ;%qgVVB=&9Z48YSpfJr>9gD4Px# zX4)93&FHbPoz_<&y|^Q%CQ>YvOP2ZCc`@Ornp;hJCFK-P=cB{%WDh7G1Lt z_+2L{wLAa#c*4ktmQ)>jIr!YGL(z~N<7n7E1BBGlu{E=gmnk~Y#V-MKUv|!){ z;=&`QaeJC^ZF+(=hJZPXNxB|s-pOf^UxR&$f)ClkH_y~{vH79WJmdi{^@iWuq0wpnzB)fLJI)U&wcmpPXBm*j?zkU-$!}D1ofVU9u?N zs3KRG9$QBTB$P6fHIHV zGTnhP_pLHlh;l9Jau<_|d_X~}j6T>L>hjMIIn`|Z| z3wCgMHeQqk*C-dCH@1K-wotkYkGF*gLynkk5y46I#}h}1l`nGXjtUIeDoEIBqd7_| z=AY8ZwFx~n`5bjuus*k88Li|Zl{ehIDiq zdOBt%5y4`GFRvd)vj6Rkv80Q!GK#k*hp_=> zz}QMJn@KO8lWSObw%gJ5KJvCZLBhB=LBG;<-?OPdh-w)0cIM{Joa3?J#)s*g`sJbl z0cuZSzzYRRb;PkW$W?ReA;e?!ZeWRr4|T|eWA~Y3D0?!fBBzU_qU*~~i#YslN}}%K zA&X?kZhD{YZS*jrFogF+y_EzO$;v&PW67@6FbwUz%|p&WsLuM*9h_Z&c^1D* z29i%5Sqw)=KJiYo6vrnc>cy zS!tc&U#k>+oiV_e0SV7OjQ$j5n*5kKt0OWi>D%-$GCM{%tGZSN6y?4ib6Wa1iXC%_ zWpf5+wQ|Js#+koNE2m6+=P8lqt;g%E*5+A8=N*~qodp&mG#A|Mu=O(+sv{SC&KewE z7lcn10u>s8qFj$~F`O9NyJPW}*J4a1);Hp%e#E68zF6OVmzeD4(*$Od)|LXFmvV@) zQU#WID;JCGnt`I6NoBbLWwzvXIkauL?yLo{!)dmbe|A&>c6i0gO6OT?7x8Kn;YuH| zSFi7Cd;03gnipV)6XdQ;>Cd0>uPKwQ&3DWXWUlo9Za7$fHRE;7>veT|ymMWDohV@K z(0AdWWBs=RP?UQEa5y4xpo_A&<-1|XxADaE`(gH zySB|d(ZWKq!6vxVq`%GXx5J&a^09LrQ5j}h-h$*|mg}KwH*UA$kA>} z%C36WE*(`*^5(A2`EJ@&mkKIovhtoW$(Ri_jIQ6l#mgRTE@+!{|I^#B)exdZ=iWrg zJ`)*?J@dX2vIP#yfra9}dnblb)`2?ep@sRrAGm7IisX=j^)Ofw)rn{*LGb8@;!$ec zVdTUieZWDiBI+ugg>TH!s^MXpJ;uW0VY;n_bJn4w!7+9Bk$q>Xmj=Xg++o4_F>Y0ZIYaC3!d*9obUUcA7-5&cb=cFpP#>-Uy@v03trqBT-^IzJZ4=ybzZ!zU%b6t zfZkt1ehpAaL4*DJ?;0I>^73zuj(+vGMpwR?biA6JLVh=iJXV8DQjJVnjXcD1J?Mzs z=Xl*4cil^h%=jL;8-&aPM*0PwLgG-mY41X6i@Ry9xoM3<68wiEZ#F~{|BTcqj3h0D zBrAkeH+8G<9!VJuNfiyLTKTSO6R|SxF5DkJ%n?5H@-9RfKA7b`NckSf(kGo#oL@`O!@nEJiA& zQ|-i`4{?uRxK`$?~@I6^aWT>hQl7>E{=3g^ za855vC#))_iObkiwI(vIb+pNR0P=HQPso=eEZQC*Kgawi%SxwONR%FEdpv8ZUZSe6 zk*GaKKam08G`MN+8m$W}wcFfLR*r3#8amc-y$Qiw%WJKky{`%nT#g;RuWthOL_E%W z(dq0SiafloN7JQ2o%Wf0$Fmz9P;vUt?&oVAU*X;xynMOd8_$-?HhA>{7EQ!16o1%w z@qRd6Do+;r#qW9b(i;>;43SNCnQD$|8k%Z`t6n4m#MqZ9CgHh`_()+G)V+p*5JkP8 z{f?;m&^@=z@UYxORFd^H`e2fE?Q5w9bgXj=2ej=oByfq{q6?+8{DSvz$n>2GaVRiE zcH_j5jp_h=Jir;94i2MWL>Ll+a#X14r5EkPGpHU-aA4I0O<-b-Vx0fd@Fs@u)W05; z=Oib8g7=_H4OL(-JYR`>^9zMC7pz-8iWqpw&;&(d&QSdu2Z;pKH}(mZ{AsokQi>T? zPGT`+rCxX_WR+i}cSs);&+?F%HP(!gm>P!2H5hAt=4mig9OlB2xUU(75&89#X%Qil zHi1l#NJ*D~5ItuJ1X)A2Z0Ycm4A$mfA^K*LE=K3S-EqCY?zsLx?s$L}DFBG8Du#!IsyP$gMyUx=Ii{x71Zd_K+ESn>XZ&r0)%gNBhSd!Z)emIlgdwbhvj1e|z4G-F z{7?WO4weV*j?U`^DR3_TtVQ8+aNil{+U&uI;ocb$QEYKZaY5yED=44fJzdXlvv0c? z;B)AB*yn3|+#fCOe7;?&{sjQyHC<5YGLGG5L_RD%2n_8kVn&>&=qYFte*tkdJ=SF0 z&(Xh=2y6;q28ld=6b@?nBRda~$I3eoQ)fpzkI=)ku*nJkJiQ)e8QjeuW4}{&8Ry)H zc2VTJ7;~8v+<9c5;(}+oof5|bigFI}%m!6<=J6lMihQpevnp}|b5ZJ=dwFx3CgaBQ zI@JImuJ3txw?Gt3tN~n(WP}8Ya>y@9|E(xb>uwfDuX0L^f(Aq!1OS%?d-R_Gj`%+$ z4!nE;Io3~UNzQGMKMW%!#UEiA#lV0c6$Mm;Uu5KySiYyN_95^t$tY1$|H#GOqm|K? zRm;LmECm>GS%4A8-uiEGIcaxNQ#%ziz=)4KHvJEbIFE!G^LNB?+kLBSgmDf@wKVGt z>W}5!k~RkUC`)5SoXx}I_Fhmiwefb`{XB}!Ni!J-0Ey$&rnte;BBSU&{XM&HW#iD~ z{R?`G&|3tYKXhLVBmuk#qH$ahX)rQ^N;p1VPh2SXE*ZL0j5zhOM5KBjIbOH4Bu5=a zjMf70dk7inYSM&wod8NIR`4*oVjw12kvJ8Dk&K+)b;A1|N@})L1O;njERt1d8osdz z#mU|oqWeA?AqZLJU^aC^^um&l93v`m3D|{=Zw$cc_Zjw)!zH&?nA-tbGCg&aDUg zDJleng^z4z$wEjC6y>&yXz!`}ve9de@x-YK5Fon^QVZA;BiU zU}ZCOxFuk^791O5Yf2@@r2-rCBe;B!4y}1agSpD7)^>`~MurDT8`Y(KSMP)0A0F%w zd)EODVm7s6`S})9_sMALvog;%TYDFvDBn-&;ZfWsxX7@QJ>X5JDL(j3mUWY1aCgpA z;&cApJNlaB5t>&pFl{pDNR3u(CF)iUf#19m6@H{C#{dd zh-@~sOJJP^%u>Scm~S-}ax0W8=EFZ*D87I1cTQ?-HyhN@a4ejSHCKz^)}TL6j0wuH zr12OXIbw53zbQNjMBp_}I8P~2TVu03kzbPep4QYxecn*oX8(lxrI*-%CpNi#m#sQ; zBFN(Q7F*xj04;lYr&y?-Q28ppIwzgiQglJ8>`IWs52G;qmA*_U`U%aS=+4qdEV3(J zcC?emEl2ilMHR`IrHH7Yv|ZTpgAehS&$Ooth`NiL__)!baBW7Yc=KXmd(gdN1^8k4 zPe!pH!@#mvNBnr1uOu_P^#&ENK9k1rTb03wUQ)KqwX!6Ixt${IZc6QXH*zbkAwh?kO z=c+Cp*uSk0R+o8u?_G!6~qo zGjw?Apn1=&83?t(O}3v$2j23)y-moezRBAn%8P5{Tud*t0SeRLd`FQ!RG1U3J z+HLJGPMVEodg`rSe zz~`oRVv%c+kZoy&!T*L~1*#&@gpy{ZBltU8sBT4=O~p1=FDs>(05w`Lbl2V4mTzh{`M&=n?qJ5X+lLBk^rr`0b+jOCedy-m%gm za$(JMW1o~w*szikG5nrMCGh4V{NCJD*4*66)lx@61I zF+`4$-lT$UchK*4@Sa<246}ZZp?=>+EDovi(4>Akt@pbeQ(~Lg@1;(@pce4lQoKNZ zi{K2C@Jx%yPRs2x&z5LkuCDlQ%O;6GNO623Qh+C20{1rC#gLBC^EpkBgXZkR+X9p{;yzhJoUQ zfig-e(4=nFg|Z&_W@&Yy!^)??GT!gi4B%WFuwd6+-wi{cYKepfGK=hWDoc3cN z^Or*-q`hSToi-&9pnK)smR9Hv81tM~^yC_Dq+{ zQ8G$VMKg5BOO<#Ekl73_A&o7ovGrsOcGnHks>y$V7GyvY8>ak?i6b_G%>Io+nsZE^ zOTB)=bZD}m_k>U(i9sQGrgwHXer|Rs-DNyRTxdyMNW5M_qHkPsW&FqKxO9WiW}i?A z#Y75+A~;`W54$m)Quum$SVdkqn_nVFzAe|ZKQE&zKbp@$MHYP7AaOOzr@zZ*awAd3 z*nLOIZ_LqNDGqqn1IQ~Z&#Rp8en^h)D2?&4g2p8w?%HeUm4A*QwIEB)5DvDfcfi>R zxMfWFeHZNtmI9o2>T;>R_Ce;CjsYSStdDbQdu-SWVxx@GV=s)sKE1znhK~4{!Yah( z-xU##i_N|W&Yku~zx00N5L$eZCPNv%qo`V8 z{l}-<{C1`mTKyHe`E9HlyxQ$TIQ8B~&RtA-I)9WxyaPVYCNn@aN4I*zfwB&`P0=X)BC-l zn<#}%UJY^u@g1G{Rdwbc8A69f(;GjklE#Ei0%hc9t5W4BK(iW*dm4bvoy8$>Y%84W zBm9R=Gr#=wVAVm zL}KaWk3+a2b9k9cp$&q+`#znqkDsrIeeS3vVG;t1+)9g5E{j!+=lcpt>Mcv@O((jl zmWE7QCk`t>cPX~3D!VFHf16OvP=uA2a3-FqXPRk9lxWf)L22*5TIEAO*7Ob=L9wwP#ao4P}2*IU!a>v=jT2Sd5K+%9^}(q8LHrr+1b5`~}h%^+UvG z+Vj{N8z|G8h2y3lrwb%hEk4P}L@&!0%$GH4(2wgJz4q>J5yu!E=(3C>>B# zn^O8y5q49Nm3p1KTyRZO3U^wJyUOt$oBd;k7-yRj=BD?`Ye`f_n!cS_F=CSyb4#Bp z(;I(h_-?HxZmpqcI+qiTc`T1?(_OqTgZjiSqfoxaeq)pQ?dFf4xgCEZOoV2rtaKA z!%PJW*AlyF_ZVqhzUp^y)=)^OQI?zKHBw*r+nOrLbiDd}l%T=7tr=;NxYqiwZD_0A z3bXWrbt=vy0E@3(TmNKgMZZ4bs;`?mFKp_!aPv{=&TXIP+x|nxjPIH5pLX-y3G+JS z+1IoEpx1pd6pJGBRaR#`{upZ+1w*h~r8+59^6r=XJp!}&Z(HE8Lf}okP_>Njcwi6Tkg1tce^uNn#qvGnDxzz z_s1CMuFq$fZhs$GH-McvVO&V6GG-4sYO&G1Hk&E_q3a1_$J4m*Te3Tg^XzeTCdaS+ zneup^SxdBI0GxT&|53RZR>~!G7OH5my+VD%d~j@THfGOylF5FZ@7$YnX)no1Qt;%^ z{*%AEN{IZ{Nz>BLCVis4IsE(cHv91$DveF53$?1lZL|3|;8JJU;_HQhgRYEOle2;i9)x1IdZ zvx20v!hJ`{##i2PnxWeQ0rej#xb776Ei8bYFPJ0z5ZIrAlS*f*mpMNK3?lxAL zp17ZoI2h@l?Vb-vXZN4H$5}S+H=^Qlpw?Wz^}D`XKfLEWrEOe(>~yXqwqp8V#SFJ{ zdbj6PXv-?KlFWQ_v3mMZVV}A4=mY8*jKw7Ehcou98xB}KL<_qf-<`KTm!?}6d+1xT zU@ZWGhvsyR`Zgu*V1a$G2v1^)8|I3a>^cqXF>Utv(eFB+xa%J?r&v6v^y^dbn^R`x zN$7nqU}dXIIjc#|YkU|6Ybs3_CAw)cpVA4P(huIz&)qRjP8%Fde_n8)-M=`$yBO^> zh7dA0yRc1vv*oPTZiuoEx|gnA<=K+dbOhi=eT!%3O~6b!Rj8g|c%m=3+ip>WD_;$Y^rH_(0L^qf0Z>1_w}n#LOh)?WBCz z;jT8%srsDp>!y3{PmhGP*qwV0*u|OpN#w%=hUO-w=EH{j0k+2j&evO|Z?~nz9&QC1W}d#Wch*XNd>4B7@iC`t<0AW-3QC43o+FmR8C4>6*2} zV=}A5OSN$1JKhC70FO5bo;+0$Xqk^C#eXu_AgF5?jKQ$sJ3V7Dat?xlGJja8Ht@Q; z-fldpuIg%a24f6_oXj)nM%v8f?R~-B)vlvfiZLU=HP@=d@Bjvh1ne1x1f1Lbtp)F@sYmJ=DQJDu_bY}bQR?tyI}%! zZF56#wQ0j)a5cFtLvVn_nouEpr*TlB+?L@%5X88bMi9{9++85Z6ntS2Ct!!8aP?j0 zA+t>h_ac9sr-h86h*lOwpnMF6M5KYY3PfOP=z>gOsK^OKq~re6gTyS20Fj6;?pO$o zDPKbchQa2)^oKHXXW367Njd6hP?mnJ?7EV^Je;A5V_M#Y`Qxm5ebvW#cyV-201zJ+MdpEy7su9yR+Rkz0OARJ zEM$!=y(oMyEPWVq{8#d_tckH|$_f&RpR}y{6EzJ#Qs8QjW`rbxb!=N;lJ$C~%!cuV)CMQHdP3a>9+o}|JdOJVGdnK ztVB)&WW_`-lOi<4Zu9*CneGm*2gF~t<1I+MtV#y6yv@64-V@v{g=PD_{DI5CgTx#P z34o_hfeAu2fXEHTzBVKa<*^;g4I_<|21QUK`fo=vw!-HFF*!F>4Ef)3ZWlrP zT?8ePEZdPOqO$CfXrhL3DOIvTARTooaYn>{7n7IdC}UgG=0(DGm*k5H)6*47YDLmv zraK?gmEkISjL?8zBxqxTR@>5#C;oN*f@$(XDY zw{?JtU2{83)&F~92QcDDR`6UTm>3Sq1>|@~3z7gM?i_4Nc|bcXqna0!NXlr$nv0L> zQqoI&T@!{{ul09O`t8#m{S`1MUHpFrrE$O(PIM?{r&Kxp^MvHoyS)!>=wpV6E-8JC zMXa$AV^iVosbjYLIGKOs8ARFBrt!BqO39#YbZ*iX{|-v8g6!RA(l?+jxcj?%of1so z0KD4vcPf-ynM>xWZ86`5mDrbodf1x`8i5n5N$+j;?59;J5$#d_qG3wE&&0 zTG@0Wd0ZirLXO;L#P3j%7VYeXM^HA_Sg^n?M;^NzMGqa(tovCS8W6p5P%B9uW@Cw@ z0KMw>ve`nm#!^MPEwx-#=u%m?GWE)`Pt}3J73QDHb@!|_Urs*Pgnp_pp|a5)_xkrD z)D!HLV-5N)9A?C%6TKPfh1Rm)RUSY+eFvEffAcZk_l|*x4jLZ`=3X>#I4%@kEd}l0 zk3oha9|-xKQ>L`E-fNcvv9Ufd~?!CP+Bpr}9fE-#7`2^l=$DmjpqieYITfHp7G1R4S+xUokXwKQWxj~Pa{ULYU4K*dVzMDnHV{E3--fhe^lidVPVR?~D*U zBYVD9)`UPs<#t<#s~4;O?7{7x9N%FM2GR*ek|KsHu(mKxO|h zwj^`oKDVlWQP(oQ>HGbQsjU6=RO!Ti_1d8w-`UM$LRk${Z;Sd{tOp^j{eAN6^~V-O0wvMel->+xbh-Gq$6G zpLmTV{gw@Lduj~X`BUVmqqnTo+Lq_fhap*V&%iKx&qhn@?#&&QcJhvVtH{rsE#qq} zuF1M9h0k=;xprSFk9iW^bW3=9r7taUjC=^c(8jIqyTpk?>dE+3_>iuS%K6(lnlPSD9|! z4w)yKvAm1D=jT;3>8EC3uaU$~*9M2x(<}G3#U18{h;IF3TZiX0C*X2ydFGy5v-idU z^J6#r-NhQ`%htohO_z!O6{gfnBbn0Uuo{?TKjs7Pju^A2wF6L;J3JkTWd9if>~QHL z{!o?drzs@8J3M#a5TGcZPY3L9F!xzwmiJn0)_%uBN6*5WcPAY99-xa9O)u2j~C@tq)1IUNS&m}13AbOq$u+_ zDC?xC`#GrRq-gg!Xm6zGu({}{WEi-)7$jgaOzK=rW-=_!Tr5E{Y{^_~MKTt=~D2|qfH>kRVDqKrGLp~J`Z9PB*Hme;l~yO z;B;b0!@pTNzS!R^ooKrkCx~TPoQ>IpU2vznyNd`lpOukZLGQ0?&V~Ah4$tN&!_ zVyxUjytuvcL|}i8YcW203goGDR`d*N)qFO#e0I?t`GOrGZZTGT3Q`?i!DABzmafjN zAXZayp)bb5WfUUsc9~=i*+j+OL4vq>gZflNsJT}m56SsQ#Iav`1@ZN;S@IwmS7oS8 zh^PBxiV9@v3V!{~(xHSQy96RLgl>aq{$}aDAJ$hO#>j*b_kfROnGkDHfFKskYtx6M zmhXoAu|tzrAiG>3PwUSrx&x%;syc+9bf`3@p`j?nu%)RWr6~kSyX3#@3HcXl$?i(9 zkwW5|D2)U&pYQc&nhJGMfp&LzCdAori+)jc@s9;{_V3E0Q!5YwZ%yd7#o0&-G z&MTG|rV5b!%-utUoMWnhegJr|0BX)JN~6Gd7&ILmw5{u=C_-)8L-lt(g0A~WA5l|* zO6a~k{GMO~rMf88c}q!0X>kZAZO}+Ct41EPfv|1SwjvRg2V~c`dGQ$7Lr4R#xq@C7 zua_QMk9pK`Fl!8L2Qi4F;_%BfnSBqf0{>A*riJKvy5b0Qf&r}pa%t#03cgkfj@w=T zdGYW_x{gwd@AJV)p@%{#hb9wyG1t)Q=Rth`mb~QcGB}r?9-txMBcI8>?ZRKLK5Y zYEui@Rl9D{zAg@Vm}d{^-!U)VNpAB*$B;r@+RxPGZf~Apek3GZ+C~s0#7$I)OWVWC z*jGl#ZEaKNXOXfDo$8z^wAmZJZ$ei^r_fMZaek6#a4J7`)cJa3xLw-04-L7S&mLWp zJueO%V?O2D7Lpux)A?)Riq%fghR&CCyo!?o`E z%kQK^mIkD8&~ZeueV)#UStUPh-NCvm1YaaGf9Sqk2rRr7vIU!uQi~-*(t(BKNT zFckI$A+{Kla1RSA9JvIp>At}Vmedum=oJ|W3ty8X>tdm>#x8Cw%ahd>f3z)Y4$C4n zb2rt&yOC-g9X*t<%p8lgrSHs$V~xM!9+Ki3qb{sqQ}!yK2a%QKQQr4rdOQAv$tQX^ zc)xK)gPTtPd)*-8yq&ZyGr|fvN=dzv_wIjdQSS4fF3LG1G#ey7b4Xe=NIGyxc{E6U z<&X|*kdEb$Np6tI=8!FJkgevBYi^MH#UVe~AV0~Wu+X5e!J&B2pm@Qd^x!H8_rD&b zzq~yBdAPm4K07`+*xTLO0A5^cn_OFKT>k@c{x?XUnwmQO&3it{doj*?^-qw#v%vUzPJ`#s6uO-hIQ-d&Mzu$$kP8q#QA+6??X55V<*o*Pw)AF;!`WnNxRWxS@FMX^zL-iq%NZuTm2UY?Pr(& zkaGUN5~TlcgU>LN|G%L)1jyPA*Pye6S=<*8xs?nvSq=bdCh4_;HyBhrj zv1ft_dW->jgdTc`7OI~bs+S6?n*y?v46>aR^8dd^M}_>45a<8*2I(Kuo&Qao5C21) z!xZ~u38ahkP*-!EtdH{*=I9N zX*z+429=$&m@H-h;#_&n2U-6x>nlDgK%B?nNTUaVrOA{%k~WAnun}mi{Fu8GaiW-3 zl%mQ1a?aUzVW60-GCg7SrPG7P35EdY+!S!mCsW|Nux~a~5WeXcOe3d0W9Ju(;X#H^ zv1k3sCk<265*`!$LehF*p&gUlKkXn9;}7Ll@V;pI0k?*je__V7<@ z7^lchudhw*;-7!LDfwRRHE-%!k1*ROIN$iwraG3yRk-@?P=>+Ic3_?%qXeZdr{o{( z99p}J!7-Kp$Dt_vn;Mho5$4Xa?X5mH6BJSxZ@N&)ez}8I86wBIkalN8bTr7cZlf!E zTRi%zjqNl(8c&YjrLHwj9M<57U2*l`LVKIr#?i>NBaJs~g!?jQ$G8q|( z+_&p1wS)Z~aL#=TTOU8LZ6zWJXDm-}qD54l-LMuxl3h9s*BAs^x+DBfqY48*&W!y+ zHCSe4duH*c9L3#f`%9b`mKA4TK^@wrGDiDDUf|Z(jLfOpM21p&v8dM=DCoq2yf#6dK+s2bL%EQv{9pT}35^vB)w4RokfM;YDQ9HEp>;Q}a7 z1j$^h76K(iHpcQrU1;_&Lj__Huy)JFtio108E`O0uQC2zxxnX-r(0f z6IAR}?tuWUtItz2#<&=P%_#Jg`d8ORG)UW}7PA#987}#Z76{+{$oe8PSMq=wI$%&B zE>YET;wr9>8#*J}B!qJ4C;dSj4D<{;BL}=smQjJLcAZGB+`cg6kj(peCvT9Jp-?A$ zJp8+0kr-=u`r;B~gmWXOp8fc{*OiT$;_8Ka*j#jqn-B_u z6oSxqi1%VyYd>$+c^+ZKtXOU>%v2-9-E<-9B|cx?5jCg!7|tVJB+Yl*R^BX4iW*zH z9cODt>13sh6G604q%c|Czb-Ci$h7D#ul(bSB`mzq3^~4}RUAUC|1c)ECeIyi_0m~< z&d_Wu8L=x_pBs({qI7ocJ>sy-e&Hp9N835w^<}Y#XVHQIC4{@F}?$+Q@WBp~NEepP@yT(cR!uvTrskjq_ z^YnTVI8%oRtMpRUDm2^XQe z)L2} zQFX|XVr;8+4)a}ESje%)B(G)-!03DqIWa(MQ}1HFuj2|iHCN(OovONTLJK*wk8M-h zWPWHp2tIe8-f`j>LF%H@DP-PbS#6)Sprr6@y#s(-@GPJBNRdYF;pHORsSbWjarDir8s*$2(c#2 zXDAH%0TT~BROct+SA0A}+VC}W7(I6ctHtngaF>}1C@kS8BEBV#f?=4u)+erb(9~2! z)?q}*B4${4c;pv6B>!-(5){)%Q+VOvZ{eYPEMZzrhzYb2;chr7{t@osI_y^wot9Ye zT_`2Ap0A^4nBr^I3Wy% zM{5^FkA{byo0#E&zB$6j=!krqdkp-<5__u^d;cZ&U&Q%s$+xMlSP(%Rq-X5TPedrs zIQY~!#FjXyRD_)r1Z0AEOrCh`e-YORZTPqr9uC+sdbKN5wFtD=6~9j!rQr^e3s2yRz=3B8nWGJ2y^7*C ziViP9;YYyxSQ4zPFIB#)Uv+`d)%3N*9JST8Ih@ii+qQ5yZze6B@I3oMg zV*boS`bt0wjxdMdbv{~hf@&p(TP8#p$%1)jj>Kz@=H-l%=7dp3h*L&@_hd$pMnLFA zKs;jh-kN|+mVhG7jOxi5YsCKqA@^)Jhq)|^?%0gR%Z&XU!N(_jE?F}kUKiFUe+GJU zK6*2e5qz;Se2FJhDK8g+cTO^q_zKqeO0A|UI{0e5_@5$8HRgrwQ82g0#eHk~A-XwVhH?<5m{mD2p4L92hH+RH1pVuuu z&9P7ix0DyRJkq$59=941x0YAG{t2gX8K+rCyQS5w*xIqJ73WtPPIs%LLs_nkY>}O8 zZa;ngAYyTcj$>~m&Tng+naK1>9kV%Jxg}Yg6<+so>x$vByoIv-jgg8i9jCS9%7f$l z9bU7e5y=ZgoU3E(8(z^nFZVNRhldgD=Q8Y9*~~xh%)pVHP;KrI&-O6h*a*7VNKsjE zQ3ZR;W+>0@7)W_&>GoK1wI?G5qx7{nZDs_7*kn=J#6Wo9S*yTV_g=G(^to22sLth} zjyke#8@8Sm+*WHWTdzuAuVr4(zf}(!srxWm&rw#t0^7hB(BL7}pi$Joz14t7-@xu& z$IaKE{+wrvn60`}FCSGYscWa~jb)^ZWnz=7tJ|PyQ>1lL^f{_fU#{vCL#f3|gTqOc z-HEMPn}^4WttTIrFCo^~HfNWUMyvEj>!>1|lZue2iU@`(r_si!@}J+Ls)CT3b=sN@ zbecsYTLy4{vTU_5L$oH6wK9pcG8nZc1hfVXwsaM>(rvZUK(z6Xw2D%3T$GlLTja==HGNC+;!{D(NF zbutITcWfhdq_A`-yMyetqD&V5`sU}O9a}7k51|MiiKQI6ydDmOpuX}d{Z2nF{ zBC|hH2}fFH3Y*;*NL?^AJru|tB-#ladcB-Jz1&1`sd3%M!pJ-?y~0F&qPFoJT|MVW zJ(u&)tn#Qkpb(<5UR)wGpcj{XL8Y>FC`a#Qwl!-QiqX|GI~(meyG%WHhnSS>+S=?> zYXV8oMI51bt0aN8x_UHy9L)88@f?~((?x8d_p3`LzpbFUojS}#A(Z}Awr{vOpz-S2?I)Xhm(*Ax(G4T_1rUGFtUl-x)hBtV>xl>o%~53h+s+tTCq38jUJbL280NY4X; z^op{3pUH}}$tNE-AV_Zlg7k0YK#<<0GX=|30iQYbxp@j%A7@z)17pno$sM$Mf*_n4;rR=w~tjea)G20p9i(4T=NoZ%+M zVeIha6Bs9bow=@<5k;91(Vs1not3tmk?ok}@tsvfDd!@d<3gHKC!SL9oqK09r!!uz zy*4NOdj^SYo=0jP!D#+t*nBqJ{1X41EmM>I>%1x9g7aB3K%Dyn#QCd-SI0u(%7UM7 zt3UB#HQ!<|aa*YGV$1Vfq}@XF+M?&{V%+#bg22*O{iP(P#gxpYkdCE{Z;M&4OHt!< zd3M;=cId^GUnBIFtJ{|=I>xGAmsg0E>rh5&^;d8K;=J;AL&r+V>PlxOMyUdN@7mW^ z;#Cxt)%>tke&5xxO7syF(C^9?$mdnMvsEBS@5)@m#8{gF6Sr)RtjQ}ZZwoA}=&v(; zTRUW0JN~x5-m$JE&~m9icP+3Xw6ebUx_+;K{nP=RM{m3l&p$G)gGe@SeSgBPW5Hx? z%J6Njc5EWYU?C{OeAhEWr~z$cI?bi`|2`R{Z%14~-<~Gi;tc4-&gjv?g(2(QCaXe# zli#L>0M09il!~?)C$>3IcPPmQbzZjR+(D#%I}BAQI8{5Otle_RgNhmuqJBF(_PeBH zI}|UwvgSJqB-`q!d&FdW*!;a>FMEb0`$ky^nw{I)ReOX1yR1IxDg(P_ohTMD`vefX zI%8%c>$^W_4;XXz@4S%MB$+FxD<&uQ&Rk+ zg!RLetfREfqm1>Vthb{alH)wV;{t=@BERF3tmCrIyB&R)sr+o&e1AeDNS*IhNr=xFye=biS9MSF#(e9Mb=9tm0(b1Ms z(Js4C*UynR&ymMi&i`uWj_1R1=fjT3r~hc?m(0l5%*fr!7k@SLxQoA<`P9X0=U>en zG8+jR(99h#|E-x%T{Z|K)uUh4u>hbs60XBlP25#=%@v@Tll-HZlgGk`JHm$MK(Ygr9zRda9Y4{PBF zYmWY4rVMMU{9xkvU_uJ(^&Zv;1nUQe@dv{gusrHd!RR?Y>ej&Mb`BPi6?1lv2z@98Qu{Skbca zUJBr%d{l}CpF?~NT$Crr=nDtnaLrH3#@qfa$}MTKlbGNBw8_!`Qn0I4hk_Io&Dw~r>Lnk0enKzc9+vd1H+c-t)r>yZAb`G-Fx7Ckz$T?mhOY~a+N{P ze-Y=J=L;#yPhFmm7faA+`q`cCL%V&ZDVu9fmXn!mdc_JJoM&Uv1|KbKSKW-af?=W2 zQC8W0b$i{4$M~$U8eBSe%>>K8SLrp|F7+!%EHl5?|CtD<>4h++xWR?~;z-k{rE6Ry zCW*m!fFVK4T!$dg1(WRk5L8oa%YXWjKX#l1AoI1XiX*es_hKV6SMMw!F}d#;!;3lgQou`qTtzkD zq48L9=b#Y$T>Kzma=HB=%zAOuiGZnj3&i%deIZ2Bq^>aPa^!t5*Z?D*U>p^{hahZS zpct&4wvIn6p8n1Q>=*A~avcOpaxExCTG3=EBoc>QNXrlIxzJWZH#>poqP@I980oTGIs46_%(pH_%H3m={784$Kc{9S0Uf3j-(%<8U}m3lp`hPm5B? z^U8`doYu?eas!CUOAF$4%gajg)62^%>etV3YPyjkD(j~KHdW2r;WpLnSK~G{b}ug# z#C>o~7wisLdX*ebWDyscV~iaNS(Bg6FSs_MrTMLjQY_l7N^;;(KW>43?M}7q1W`?Y zI!H8~=CjC6P)a+i98eOt>V#$^xE*~R>bzexoe_FI7zh@Ay{V8AdAInDE(&Q%fsqW2 zsSzs%Pmvfaj?A$bD(mXF0_QOGf&%xF*@7b5PGSNw|K%VTve56&eq~YEEq@gWXITwZ zY0}_C2ssAa-gyO{!$ox!DVioYbs14jO)Yr`TrC{4q9rX{hovNKd>>dX9TO^cyfwr` z^W+912o@_>Ki%biJcPy}78G}|6|*kdHW|$7%HnUJKt77S4a)`!W`{vQ^AE+K7RQXh zfuthh6PFQ$!itL>q^36x0_g08ru0hEa)UR^9rCdO_k(ok*yFUJCOC!e;tUFq!Ron` zNvbMCj76j2TCKn8YD1;WEW{$X7yI$7TVYw9+TaW>;-flGg4ui^BaIO5P&2j^I3gWU z%%~*@Cyb=IB=1lb?^|X5AVqrvuo1`j0kot4;(DATFKjIdwtp+R|K)l* z?SwApV7>l1uA~!rJ)QA=hiio*r5CH#Q3=$!1>aVVV&Jx8P;mdt&Y@zA`=FATkK1%2 z#qn$N*gmm59!HfqfJ^DIW z1mm?vtb98CPOSqWw+F__2zwZG7K7n5w5 z(*zA^RdrFH0{5p6PPq8t?11jvMC6D3+U?-I0U2!SC4}!y9wcfu5w?XZy?AnG3ia`p z=Su6#!(%PCdkG*XPxP$|i}B99_^;)E^mgE$#&yW5lfx$tSxMpBzJ$}K4s_}tMI#oN z1t_^pc@>`q1o1C@R+n2{w74kd?pP1T{R|K0NkuEp zF==;Ejx_@7S@TgMP0R=l_2C-0;f5=DB`T)fd1Z3f;(%A9`v$I^rese#)!(ahDFXLb zB<-W(3_L+*tHTyL4F*_t>1G)lf`lz9(@}}v1P-@fngLVo^$zug=6m*SpA2}bQ{pl< ztyr`brW~uACI&HWxe`P(KI zCxaR^VIil$=$2r2ZstLzcQ|U8R_`HSknfG9j4ecQAqP;Esv&I?1zz#X z`ijW1VXjvM_0T%hqIRnL52^Hx+Sm5GAnaNw>x9lW-!yWOXrd`E4Uj`4Yc=tkRHqYc zGVtzCj2bLEQyoQd8ZvckydlAZeXxsCu=7KsDjU8XagCoXOER?O9BxUU<& zI+E#Up{LAVkZk7#Rs-|7o=#?h8(rSYga9IM^Qt2Bze~GSDgyD(_i=gde(~4t=S02a zL}QWH2eLJI@-!y!yr$H7+_r=5Xd>4&Z%-H^aEOWVx4mjn}kh3n0?~Y?A|9sk4#XEJXahQ z?Ws*eLP1<&L_<Wq>Pff#qvHX~t_q=6RO$UfbRa-vL&;6jQsjbG1watB(o) zi!;AGbWXr{kK%sM^$YhcQd1Ri(;Z{eJ!9{Kc&{dtfObZWPDM>qM@@4BInrcPYe#Qd zc}F@{Z3ZJdx?ruzU5BYDJC;kWIaB!ufEbbp<~t%K8<7`qhknKc-5sbv`&Q9%NG)eBR&w zyNfyEQx9e=Yeg&D9W%#9E9ZIZ5j5X|lSF)k#BzD}tSaAyX&e8<07xK$?>d7|_*FvW zl|>YrRh*hNM_wdXp8L?G@kpE>Y@PqkXq4+@Rp^ks8kbZ?uBoJAtEOuDgP5$&CHe^H zeX{2H9njR6!PA@|+Oom+Spgv}UjU+`16*u(QSoLY_5Ib{J!`SK83)wMfi{dNf#s+j z%_9wrKoUZGs=8`^j#{jbWXvD&&jmk@6H=H}5IMIHN3=LEPIMhi%*u`|zcQ^l7y7Dm z`ZtINcyew=)CUC;vo>;i57v**b56dDfXRBUKb0KFEL?gL;4J-wn2%SlYC28gJfR^h zv+6RiZDVghXrt<;gKr0k`|i9=TtHG%zB*5jwZOTtuz?IDn^|4lz*^cMshA*lf7)09 z%~QoxQ!P=Gh0+17!SiI&^vo~tq9&l*(4;-clbSwMyx6OEAZolJRem9bsnBf1-Dm8= zYkEJ9ry)H|EN>Yk$P_M(nIYZODM&ggi03K)L6GTdW?ehA`20W})x`virV90+35t!6 zZi(Xkh2pdl3LY8?ESo|jwx345KCu^0Le?qx54KJ+%O0I89IH3X1`W)4afMb&gmp@! zG{`OwjtW=uMU(Wb!HnH;amP<8O1boGYmEI&By=4n-b>-_3AoHy_Jii=>iNZq`m}>>o1m-T?l}3>c=s07>y%qtC)ue^u)|yCh%=L z2`U*eI+PnLJFO@CnkR?Jz&U;9#8;C3xdC|?gIOtajSn`nbSRTPJ|DDpmJp*)k`0D<(NmMmb4j4>u+Q1?Pgigcq?C6P!oqUFOasSop!X`9Zhf#OTVV z>}|qS3`yg>&f!xMv zxWVas+o6Jk>6Qp7WE6Fji>8u6sjda7Zh7`Eod6>o!F&&OlOO^maZ-K_TfWih>>rki6w&&y+ z)RIr;CpDh#X(H7Cec@?p7A?iOj~XmGG*d(ziUN(Af|XTE7u}mqiXsW22zWV5j4PbgRBjn*!4h z)R7JnnQ$<1en}N!FcRr1gIJ}3^swr&*fo5i@iSs_2YEnsiy2cEPP;P4ZK=dp?aU4B%=0WINiA{Tf11%4T{f4+^OnU5nafO?)3;N+IoHg?9n3uId7lAD0o~AFohw9wh%A$&^b||wUQKlW4`_Ntg5a**& zVkScHOQwB^UHy?G(L;+dLn<@opOksb#<)LoXqY7l8BDpD1(_LOWPd(O&;&osV{d=n zc=)V@ri-^cw;gN@dSH^<;x?zS)7=l&eYG(!E71KAVopA-dorYTnx%F&WKR9Q%)GQ+ z|9050)YM37!D*-6B4lx=aP-~4!t-*k!}SaQrS|WO4Z=ocuIZV+H}#+`L3=pyuW&LB zytAFm$EDF{g3*fz<~!fqj6|n}hDpp&n~uE)Es=%SyrsLj?vEF}&2S7xwP{XPc}^}0 zMuWOXgO^7`uD}n2ia(=v!{F4+z|eWrVC1rKs>Xcz8xWLWP9J3m#eGWksKq>GSZ}w7 zcrl%VcZ5QH#Ob=yB6ZZGeuTAX)gi_BG`Ye5up$7v`jXh$d#N6%x&N+UJ$PyH$^HyV zQKM}5vP{?#)CI7VJ^bkABNIJkjf`qmJvmZX?k+91NXnX(e;3MQs}cFHg$B(0P*<7&@n{Ry$WTaWF7( zJTx5VT`{r%OeUZH>e{<|u+4}1w9!(R%7S9!KA)(oxJg*8Hp z_BY{f`HRnfCNH{Wt9OZds&zDRL|{#X=uC7e9zIg{ z!cZI3++;G{dOKlk-0ydl56-fi1urc}uVUc4K#@5j zEUgL;pNY_3RT2yP- zox-&KfzD~?dqbSc4o?`Al?JPq!O%Iwr7p|07AyXS!`A#IjKu`n4JZCgGmWx))%g9C z73?=>+)eH0O}*bmcYaw8Ryg`1T@I_l`VdiMVy7LA^gVq+rt~0TSL_a2ixND@cwFw8;7(V z=er&_?HBy{Q%Kud{O|_i(ZP}RDc5q*`KKxNj6Tkab*%T3SEuD6-jZbXH$cg)ui=v4 z(Ki6=2^qS(3j8me;VoRa>mORr1vH0*kLR?$t`@i#^xqC?iom}4HdD>@N#(Zw6r95TT%zZ^hKJI8?)i#jMmJo;mt>oNsf<$wesalm)r8N#oN-+>Z4mW{I?wZCv^Om zsbl$kc>76Qd$*KhgksBLWqWk*7lN1FB`^4#M~>p3oW(a>!*{mQXZGJrhr0g!nDWX!{_`RtGsAYf^SF;>_pKR* zztw)L-n;@&T({AJBk@p0t1=YRSk=q?HmM@AO1JJT6k#q;B19UGQS#&V4h07R zV^V|@^jx-fZ1F*u|LJ0Gp9_6f&^-jL%XAS*tl0t3_<%Wbq@(H-}))$DjC*=No0}1nj zLBU=-^Up}>FTUB5nuG3mnwPX2%U=gQ=#X&F(EcJ2jz$<_2z5Ic5*T8Vn3zPygP6FK zjucpOz*O*HrF$zvXaqZ_302f5r#&hLVJO6ixK@HNY7QmvekG5VlPOK|N$EbVkW;@L zc*K$u>^t~5nbGHkQjXIr#)|_ORMR<&7)o@)kdk$Z>&-!o1fSW!n?6L27Vq3ALTJCb`-38SR5px` zKYuTrrJJCDnrm4WF`DlRC>N9Qhu|PK8|OPUy&UV>0ll*HXQU)e!!#O3eYf95jK z^V?MY-b`nz>3S!+0M!nG$xf~b-U^h)IVHWzruwETBbRf%9t8Zhao1{>stN-b4g_)Q zJdBXZJqnC6d?_PG%t&Am6&YlhtgH!EVrdXffCHie1P6BdDhwU}F0`^&{*PP)a}(({ z3AMz2oDxwfMvbsQ&DvifRSrW;MwrN-C*$E7OM_V~9FX-#+40*~Vc9%(BffM(5cE0t zvxkT&;Nc9UGJS&Mj9-H^XHE#51cq>BL!v@TN)SP&7F#KqM%frq5tpx7z_iYxeg*6h z@8pVp8svyZiY*{HY8ACLO+a&{G$OrF5EateCm}ECa&Gs zx+%z^xgQaM0R7VQM+qW_E+Fu>7|tz=i;@yp*H4m`DK0vyR$ZW4vYs6gF;R@w zWujieD3h(_QL_!^A*Nv|YgVX_O0a)5qd(LdZ(sUR@3B8)Zj9La8Ee|1MM0mHuw`Q8 zjWe~F=IAi8j1RvqIW5=u=){C+YO!iMy=LO*!g@q+^LO&MUf68DA3v1#DPppmo#+H} zM(B>#8$5n*T0Xvyb@`jDbY#DCmr7Krz#8Q*B4ISW$l6(Jl(a9Ve&VT^DLK;~A@Xhr zajhErcCMfCb*1y2r#6tq_DXl>!*FwNt+D2XDV^Th@H>2c##Xtxgx-2}zFT8e6(h*j zCPQ=cinn!u<;vLCbF+}KrA;RI$|cZx>*77JtL?V-8}KuRthr5U@rZ=-DdX|j%>$pfzExhk(S{qQl~g)uN^RP z-oWJJ~$ZN}@6yyf?ldbdM*0`W0eJDIhax-&x0IuV9%o&M%?AHbG% zDu>R$SOEU{9h82i`PHL8XWFSUX5*~$v3+rX)y>D*drx=fgEU@k3}`HOFJ+*zoc5 zvG=t92QTo!#dG4*Lw{V3m-fEL&+%`No#`q5qn1kIqJ z{ldYSIZ3wBZ;D>7KN84fd%}NqTNVB5rl2{``4cEYF2Qj>AfhkcD(4Sw$+<8jxHc&{9L6ENC`C^8XzKH7 zaR(amjOh(cXzfktoWfb&CAcsKsD+KI2=_TWke~^Og>eQ5e?fEDk8?@yb7Sp2f8OKT zA%|!*;Y!`WF%xfQ>7{rC?G(@S%b=O2DAl3lu?H|E7d7H$XnB}xK=sO#6>^Xr z)XtfeI236#oAbX*aJV4JTpiZT6_w)9D5Mt|{xUa4D|(vS*M)+h{R2(AqX$K>flTSg zY<(aoZrb|U1ltT`UZQd&qGKUyQrv_~Bl5|-bZ5ZG9>BXN(c*Yy;AYJG2(4@%PBm`Y z07(nsP79ph=eGxN{Rz}LvJl}u{IYFaMqqtra)Rb=*urDG>x9~eq-B47> z17LOq-D=<`a-VNwkL2cLSz=q#e0wBqAx^6wU@miDZNW zOK^yN0mSyvC2khS#R`-cH0F-U;gZG0{vJpH{Kt=RMI}bZzT+7*FNZ!pAcSOT|1y8Dimd{*;Fz^hHfPebh&Ltipk6;>UjR$96;|T=AtPw)7CK z$6mwc0r4R42Nr0BR91q)5M-Sbw0wZEOf2&fsODt$)eXryz@olsk0iV_$p?_EtH;E6 zfI|-ftwWg32po??@$=HUlKC;|65IQfl?0uFKW1C|ak_Duiru3U zc0Y{p!<=`CT&Uh$-m-*uXx$KC;!6gG8%>VMsiiJ4v_Ld3 zMCGJ|1;RStJmkGJ4Dc5*Z}ztic0!5;=rO%Z+&NO)Ae9Domo{_wiR?go5t-ue0lznc zfc2MUF>Xk)j8-M=R@I2-#Uv0Kyn$Bs;ayHh-Ha8tZ8kA#maPoE@@jN#PT}8mH$+s7 zxfCua+O4@djRv5YJ86k!9wmH_ta^tnn*e%MZUDRJlV&JC-!rRfDA8d!s|eoGh<;$z z={egT<&SaZ5<&Vtq8t+sfT?hC8;z(SZ@K-8X({gp2WwT`+wPnbl7~}y-J1+GBjd@FT+DrBHGwtY%P$)kGC%}&G28EBQ=_75!(P1I&#-7J`!g@*XJN1MQV7DG*uH9@> z7Y#gKwwvRMbu^O> zKbBn25U;1m7dC4#rgIR#q&B3c0UQf*m)8Myfct$+xd%MO2@3Yo43=MEY-g`MC>9YG8SVM-lg4hK<59Z?Mj zaZ4R>4+qIe9mxy_=}H~xPY$x-)S1%j@7yd|_eXf9S;TNBIAfik~g=RliEtynJkU=IwgmZhPcudE)s`Ar8*N zr!M{$;?tYHY40-NHaz!Dxa^hhUxm2)yFv21q~p8Mf7dHN80h^^B!1Y@{L;a1Ow$Xy~kjw{KMGRzulp9PmS8cR7?2l*3w^VO+xZj;^ zO|;bf?D2y}CR1pw-5m(UW-^>?t=k`orIOE9XsbV*NaeB-9^c71o_T-dN%(gvEBQDeOKu(c#VGrL8%gaiiOIV3WR__cs?d{Lg4#k7{J_ovKjy* z_dJ6Q)zu=(@%$W^BdWXu2Fz#7z<{~X(JH#|6!2G;D59CT9`Fu_YA6&!=NUa@$cr~N z2}M$DL*xVhXJX+YWN^wiu2d{Ec+J(cRj|mKtP*Ca^;n>L=kT{I`-^%csqLw0Dcm zGhAxzAo}x4>%P`9cb}BxD5HOp!+33kPs&W_A%jw40z13sKv#IYf~R=NI&8yZp{lKKXf#3(_YftcVOv!@pm>Aa$>Qia?zfxoE08Z_Eg<{2cwnPmkqF%hy>sli}>&*u34) zYW93b$iV8@6KJ8^&qaRI-;Bj{kf{rny7vMzFS0M`hb)CY7%6mTF=||kA?FG=r+rO% z-+~;Y_be0nLFV8$e1$gXhvWN$?OpxEz|*Z-7W<&pQR%~n+QDJD-JlJ@??mZeGFem|!368FZ{sW?q6FDx7X&GGpFog%4 z7s_|44_t&DGdpU*t?P$mr_17j+&93Yz$}WCF@;n~6bdGi(HHiiSQs56hd}*a?7{^h zrZ6-}f!EC>Boj&~KFN$t1%z+eVl?n|PU6kPmM){fJ}oTgR0y3s_}4g4XXptQgm@*+ z&3l~qr8_YBiR1uW7SUYw)}~=ZoycW>j|C!0LdrmcDY{&0|Ix1ngV27k`Jy6-X?MX8 ztJ@8QK$&?+3}>X+fF)^NwFw$CqqxdtM)*B3pZhyI6-2_(hyFX1NKB(rzJ0%9ZoKN)a() zS0c66f+8;nhto&6vWd z>O-YjI6gymY)=O!?Aclcx@l$h8Ah}sIzn*LJ8=15m`W2uWmLnYG4)%(#h=DdhCAombLeF*C_ox`ayOc=HgR&y${4ELe(1` zg`YSj8wVle8xxqq1cxHZNRN=0wpI8c6Z%@7>mW)c9`$|Deh@t#ym1` z>kV6Ve?wMA&UoNW2m1}pX?unpp{Ah>HCB>jD{y|b$$d!DfLK9S`snHZ^>(@9g$eQN z>Znq4eF~T{*XV`9Rbgo;d9#3N^h44d<;5+%QMdNom_+DxYaTIxwfBA9w6uq8TTz5{ z>Cl_pHGFFS_UFpOG!62XVGHNw)HS0v`OgD;u^xCsb1!JYjaS;%{%hjvzy;4;4E&0A z$nC38z0GD+%a%sAX~$4qz0LJ)_Ys+C1xr06BuWrn+jtsZa8ieUK8tVLWD4P3+J@i{ zo}RX8Q1V^YYp1agsBKmc=RS{kOHfLrecm_WzDR(SOVPJ|kq-NzOmB-rv!{I-JK>?q zGmG5-)V>PBdaTPZU^5r#SU-<{Z0aCowe#)RT)}#3+t^}u?djMah=1yO&0_Kfb?nq& zJ@*kCG6suu?q$S34+)SlMEQ0e{J{D>rngO()YEz79RGXDGn+OG)Oqp+>t!y(kfuna z>r6iWWvPRVy2`if;v?4U+Qv3zQ%~0wRs8GLYc@p}sOttD>(4In7xE#I_nU;8KR>y8 zes}l^-+yI$JDur%S@sorZ0LEpbOzmTgWf?W18naz2|a%@L_}WLYTh4|yWg&S1^?{# zJpWz*-8}YycJ69GJ$F4I&nI69_is?2{G7G@;GW$OQvGaN{7~H8(4PHF@%^!$U2$~$ z^}hKNxVsXy`m3+_lRdkT69mYA44`&*p>+?CNC{wkc4l4;5O@k;cX#Ie6v(9=SW*n3 zd;_E8AOUX7WoBU%cg#HFAmnFZBHcH#Gf7X>KK3LqHD>b+qvK?_9AV~ z25Aw)}tDxqAKPFd51uxf;02kkX>@>5V*gYxl1ZqrD)J+aAs~4>;(*748T|1 z2@WVlmC40N>^AG#e7T8d6Cf?3Ik@;vVKgfMz_3JG}5C`^4~XXU-m8 zC>zdjj3pBr8Ze4ff`A`d8oo6P6BvRR2e!-Efr@@%?W0J-KwPDruxxj2UT|iv5;+Wv ztQy6tL5QdaXXX$QhNY;H?v@C>Ax#KjhqYmT!$|F=5%RsbX%LawrTUzXkw^bz=Ch@t zey!04&ryEOFe^F{LU)!pvr+BOKXmdC_f~%(;bIR0qi16ynerg6o`c=}5#iS&eV1YG z2*O~8EM@#+Qr#o;`eNRI!RobfB>%F@|4GG37-DBdeP3VaFOqH!suG1|8Xn#-rhuC4Zsd1GnVV z57>hQY3y+jihhWxwJBqsr6E;f5z`?uLy93*KBG*ZQZ6DoM}tBFxl3FQ zK4(X|WfvD`2M=cRA7mH6<$PKJ{vxz~;1hl#6#ji`^*ZK!Z=N~9A?c@WC*1Ldp< zNI+$Ps}NBjZg~N|b%72bPhA(NdS+=rMEK=}z_{JgG~87W5U80BG*7p*87HtSC-`b@ z={W9cY3=MBPVmi|;5(zGr!IjvKY{Oyg+C)fAQD0FxWx~Eo2y5l6)3zw+q#IbyeO`` zI0jIba262d0Sqg*$XLhEYRAvx8d<+>jn4cI_|En-aeB1T)Wd@JML*Z?m1)j@w(+Dk?JkL{TkqOXN~&=!2KPb zol;(wbXNKXD0%=CgU)IoE1X~XaS@4ek>zDkk#W(_aWEq!uqWK1Hym*%a0n}Kh|hEI zCyHU^3qN=|l4ju0c;e8#vNPD=Fv;VvOys38)FBgT(LIi^Opvj&-p#(<+nLE|Py#wK}z1{J*~4Pu~91-3C$ zf$n*eenwGpd7e3P^B3eIg$@VPiSJ)492_ICU2U+xO%ym!l-RvmeneVaPUQL zHLxkSId8T^E(1oC1tMDpGZluNxA-I1#7umRW5P~D#?FW+Okiq_$Y_paDvPqIwf1bY zUv5))X-g(@@x(FY_FGZtF~z`KrX19uq@Xj?ApNU>A>n^A{>bDDAoHqlz}zo zi8WzUJQ7iwG|@40Za-y%wIq+V(m}8$fVDx4wG~m)0g|t6VQQ$2sNJow{OL(>`ignJ zfqBV9051xej*-3e9j5yx)4v(w@jR942ZWO>8U%C3bB85-ZEy+!no4hvdoxVs4I0`e znuEJ@Gwc{M6R7MQxzOMcP2Tbn|Xf{5$Y|9}7tmW%Tpvy{i^XBSLm z16St`{kSA(1p1b?h)JiS{cg*>>?Hl`ZBB|t19bZ7KFu&Haz7Y0Es-$>**E)1e;`Wh z_cfGRwzUpowpq$R3{fx-Fv$#QqV!6yC0ck512c!MGvm{12hUVcY)D4_+T|As-8)0% z%tIvKU`)Z)`Obh#F@(L~pjQaQrQgW)>>v|p1j!U-*k?Ej=XBIBY~<1}6XP4quF>GG z-w&^52)nX~Q_)dxaCW{kq+RKh>eX+glNIaLn}1=Mg*b5OFwUgio7Rhzc9RtX-q>)M z7@CFQn;dG%MAVb&IJ5~A_2?c&A-tZzoVxHG@0^_0>zHRQTF{&Fxt%1+n}Q^mT16=V zr{X)FQ+o>K;8fhbZ;Bvq8iru{1jX&@&vX#c%rD#0d;OU;ubJmb{EJA>*Ne8}KQrw_ zvrw0KZ~B<=EDKA z)TmXo-t%U=b7+0@*a-8Cir?5t7sf&S3*1wcyxt3o=?naJRf1a!UQY|6sMX>^i+j3@ z(pA;6S&J9#iwcT03~!4nLi1{u6-ow6NS;eNQ?dXw5Nj#T< zsNb!-mYFw}?Jw&cNLTm-R$RIo+`Lzm<(E827ge`b=rdOQSegTbR^9YgL!w$jvsObU zRwAo#jk+-6E?pC{Fp{cVQxv^o6e}aZsrbfP_9a%D9Y(>Me=g}dv+6ob-a4iGdZ}Hf z@7uaS-})%s2L0t~^VCvZ*2YJ%4TznMIi~K;%avB4O}vhcVIk~p)Xjb3#<5G>iMLJ3 zsLgprk7|Q0GR&>js>Q{wt$vW_)^^v_4(ax};P%1g%$E1|vd#9{)a=F9Hb&O=4GY$~ z(9d>*%}4L1>#U!~EIZZR|s>DQh0;#YKPiz&q-jHar@`<)?V$~9(yzvgYbTo_av{+ zep|-=kEuODLkynxebzV#`W7HKIiI|AhMgRRj2sLc?%lvRgknD6%{5r1?ahE<;s)xmfxpxswk;;5Xe zULB+gV>xV(2I3w6n2soj#!9aq%j&jF{eF_)eMU70ljb$x!5UZEeP|(j&e)e#iE*K* za{R40vyU}n@ai0#icfA|O#feGmnT>T|HioacXjS?1JCxiI!8hOTb*NEqhMX5Osd@C z_Mi~dpb&w{^4Z(JWI4vK0e0}o2ny{#WH}?4ET2VYz5exAEC;dQwX6Ik%Rl`WSuXq! zSuQSuED0vd9qwg5AOp~m6~JWq&HZ1poc$p@7a=SbAvE^kFI+zR5Dd1+2q2d=fGv=zyWW5|Epx_9XAbOVzrSR8|5w;SdR7@4j{OZ*(BjYilh>Idn^ot{6(F%H<^ol`;qk|vEPWlFZppy%FbYfsZhoBI0XKvQ| z4*;lH;;8-0BoVRGxxa08j!DqPkO_G|KV#w`#FC2zk&to*jm}dlMiBV7%a&_MYZCJG zpN-B@RmXOUhvR6?>&PWcs^x3QRnasjvvzq;$k~@DWea-uBO__hcjrq+5lI0Y%G8Qc za>Tummi9EFh${jrt(OkQz=8RIAUH6e{#Rhm4Gzo|Y$U4eHmt#cdDkP}#s=6f-?82J zS7F}uw=gI9r!Xh|0xryd9fAvUKQem7&H1yfbA9Gm8A_%Ol81~KKYU}Q*VoG7j!C+FL^9^E9A&b>xh$oYn zVTfg;P>+j3^ICczn4vFENp`LOsw7{h}tAya6CTsZS2 z?_F4eY;U&^LbF_6IGZY5u^`Omtz~d)4v_-mDEBE3Y?sSY!1`;DkLKcHsfAMfAWs*i z3@55ZC_v-hJE4k|q#UD8)G!&NNsW&!qs?$wH>S(>f&$|{k>F#`;>>{Y(6Z8cqzdWA zy|cKQUaSb_23j%sD!{rEa<%-yUJz@?&5I;kxA-kGd!H=DB)dA6dL+k)+F!O@s}6^ z{1AHDONaqS;|no8APAgTQRp}^6)_Vc7YuPkhDMA5L+%5I6m&71I7w_(jW{WMQ*bX% z?C2#WL#B5N?!_@F=4B<~HU8a;i&hVUd+{z9bp_5TN%bk-tsr$Ja4N2@Ec^zep(2hd zg@Y4Vs{|K3fg-Y3bXoCTV~1$4!PXiNb|g zGf#8H(W%(;0`i;NSBpjjgJFGxeR`x zXzP^)IANg{n$eIrjLDmDVh3|n8Vi6Am3*)gKcE!R%V3JDC5yw92+}YTH;il6*C$nb z(J;r6%YUAZPi|@)GH1*92jA(sKVbB+V#s+eTZqz)|>j^q)uS zIqsWuA{RT#zHs=t<``gc=O1u~+*lGQ-dh@bK--ds=1nizMxYv|WEO!_6^h5|fq7zq zgG{_dFC%a^7Zbo;NJ+{dCr>GvkWG!ipjZab9#9MC=uLbQ2x5Ap7TB!B8mz?4f)%LFO|wjS*sfZoylZyZk+;yDK3UQKVe9; zh~FdljENDhVnjntfP~sC9?a1fj25wrLgO|Nep&m2aATD+;DjR)qK0so_kw@0BZ!~GBt;) z(3C2Ldz58zA4aPYx@`h}weQH^HuZVC&VC^;wd$1x_6IZ_7$MqF4EP~&5Ut0W@HG;k zb36`|F}sFR5EE)BHcNt??sC;kLfo&(T+F`|B1HD{XGtWM3({PzEL@0)3V3;V^M|7x z7Ike8tYvBs9b?R1_t)S~wfphbMrEWyoK&b4EwaOwbxANJw6HB>{iwkDJpE02(r@D$ z0Q-hyXY(VoF+ROLESLIKb2e3E1@NnZYZVu5yrF=A#qw2}R{7;s`I>;OHJ7{9Ue(tq z86{^%<*X@ZI>7{inKOgy?2U!vr_NdBTUeLeBQE-v#tGpk9t~~us8V-^bddLfv)a##pJl5 zq#d>Dav_7L1(9J)&iND7j8f@qli~am`7?gB%XxLFoU9h>gn7l%<)1HyKPT)jpSfqW zzYx^;aO;uJ4UlH&+~UmO(*vGGr!U_d@cNG^?s_-4?@Mm;EsP1e@n2`n zCeS^cg$Z3AHh{me;1reFoStXTXl59myzaqUzbNAPzH|UVDqX6YH7QG5NT(IM#OJ?@ z7rU8;YUH_Ef2O{)tWe;v*CJPn2Vr^|fBIaDLZvkjw(GElWzQSTr-fULrD`V4yrxs= zVTW!*Jox#6SG&*7#Ia;G;tIM1Cu~!eH2sCV28e=RzO>W3EbuXLfu^k#o0g$o^RaU2@pKE zJB_=$OOVDT1Pc&I@ZfI2g1ft0Z0I7 zpXdC}e^_Dt$NUZcL9zAi=(e-_N(r!Ky31^$xZEz|!S|@M*;fc9$3y0JqfJ7=bvFIn z{#g3=Ns_*ZBoN#3J7bxK98v5Kgv ziKy8*r+Fds+fHWq1!jc(azt>a^+G4|d1rx@!0Y)8JGw4=(XLWuAVWh7_Jly&Y76c{ z1>Sju8$xAXdl%6}m&baSXLP-nNu{?3>s$z{?>RY@Xm_WwST}w{kGt4f$N*D{v`j%a z<9XJ4G|xyugSw;8U_Vd9dc)*R!(OM*!Gh2nPvenJBQ!yWJt?FyIhpsol6S46abv9~ zeZO(zH}5+~0x59&&b;uRbkly+n^ViC{EvKv(KSU`9KRYleor)&cJ`Lt^8E@bt2pni zWaWPuE7PTuL_q9BRF-V8mNf3HMek^ih>(0qDu<%iy#<$Bte1D3Gg~i2=0QYJZaYy$ zS^9NY?4L-%6R_tlK$0q!k!Uhkg8Fx?_5Wb_k=6e36Dd-aN-}HK4<9Qj3Jd9qTB&5j zs3!z__FCU$4|vFqcp}ELs8+oJi!m>Bv!}3aPw-5jgCiH%crbYl$Ax(I+f1Vp<3-s8 zoEw)|+Lxu3CZv`4_KRUv2iE_U~Gz)fNMOsk*$azaOEqAR*{rhNnuHcx4is5MlX>u5S zUmx~asGl!nb<>r8Z`w`6tKc;_(Y2@ouuxdHuG&~A3af0;xEc7e(6F=56E%Sw02Kd3 z(KyS(JCCloaKmsyAS`HIEfh@|rYkHuArACtUyl-&C=`~&=-sB}+l936-3ZI+^vXNc z6ohaTA-qni;z+KN2sM7Kd{?8fE&(moo$_85MHs$ad!Hc79Ck z)Atw6BCpHlQ8qs4%hnt>#grIYx;y9os%Nf;P+)D9)Oe?q`$B)iBJjCMeg;E&_G2rp zzsfs4vCiMz@RSP6bo5Aii*iIl$lU|Ip(B0t6le^p;}r@!U^agWFy`jSj0kuX)H8-S zH?CS8>?w1mqPUtVb5U45yTKbluXY`xwMZ`!!`HifphzJ%c&{T1$!?PGnktEweOgyb zt&*+q7*h>Z0;DK0{_M!~pRYHWZgA?;ab`ws($33f&Tmq0pOEaho$uVA=K9kIS|2LK z>?)%G(kL%fnCcK`SNvQYZ`&ESN$Il1RGFyM03J$-$*DAJtGLihyKdCKQyq}j>tte+YWy5IL>R>}lfmQH!(W;dK35faRuyfk zHlUpPo~5`KsTHlOCbg(2ZORu9l2{{Dl5bKg2^pkjU#3~=O*`oQAw8cVTl>{t|Bafu zL#%cVP&BtoUvF~RY+WDF*ms^HhqXA(NxAZcd4*eS<@!#JuXx;2R>Q}pi=@av=u(+H z8)!#3L6IW=saXEAo?zhAFwLFDJi%fcaP_0LG=i7(7rBi=J^Bc*k;vE))Mi5!B$>g* z)u98!$+cOHKML`Mll+~kA^zYq(K$Uet+c})V9cl(W>b{vl;q^-Ei80z+PjK5_V7yS zb$~3j+*tmU1Qe!RZPbiy&5Z3BsOXj7s?5TZ@b0?Qdb0rD%x!1>#BhEO(qR|nV-ZeyNBdyKodcKW`ZeoKbj1{GmI?j zY`py3ZnHFvRBIclUgb#H08cLNHkwWkn8t@qPU(Sh0DbxnnLM1Gaj5kwdx6G8b`HXi=_0=iNf3ldD25=t4LXNWMQJRd8 zbNZ?RhS)ES-I_bkkaX&Yw!S}in(MB-rJrd++IEay8FrevX6|nvK zz~tBE40Min0FbH@%D(YOZ4nx_FGL&<7#@I2(;X$BWaU-;SY)cUX^1@BHlo|ZN4S)j zV=)OFO-==4x-JoUtr6>OE>K9|wdmmwudQt8g zMttX{!9_c=Efy(qbK#y#SLYT+NV`h8T3KP6recHfs=K+DbHz_{$^N^VS7v0eF!+`% z^j2G2!+9P7XpRI@Z}gBn8PumKnP$6OHXJ-GBwQis*fM9-@jTqJ-~iszA6<7_wT98Q zZSDydn*N%__DFBXV z041jGoX8x^sx5`xP0G6(1*n_hm~Vb{*~F`vTV2u%KGGxVF$*<9~VJ%Q*7dgwOwOH6JM51x73r5Y;f-mdDK>}a`wIlIIy~!-21PC z!Zos{4SssrHZGd*#J!bpQR&m$@1NS15t}XYzIrGOE4N%YbWZQ0 z--9f7@a&|W0*S4G4A^!aS5FUejB}`2nfN<eW^f!aE0C)XS|JQS zJ%>Y#4h+~PtflX+H_U&SuB7SfSm|o8ZC!AEzW``#!}Tt}OHAbE9({B500i8^sTqP} zuSH7l!@F-w(i9MuuRV^g%LRInk$*_y=v86Q$q3xx%iX2eEXjQym5)C#`e{ejyM$lk znNw`0+IpoKZ@7lH8`E+dPs z54Z2^?52o*pmID&OXzvF+ReirM-w|8etNHnv->&sy@6Ke^&jSk_G&+4YL<^xzca2Z8)Kh7gg-uR9Y)TWo3_47lb31^JDt4xP8y@rj`fS@ z?KbcB=`-*bqJ(v7>)U=8UzfC7!L(n)+bWr_?I1nB#HN3VL#=ab&v1Lswgo`>f@^-} zpnZL<1K0NooaZI!A5`L8Rc)Qrrr)c*vusB`tb*Q=VgKyPwTG7Q-)PF-P?>u*8ax`k z*bg#}e^IbvsrBNHeR`Yg-0{w!bNjpX^j`e&N1g{O-c}6+=*oP_(E_$(+82+Z&%VPS zo^Lc1M!&gWwz|X&U1Hm*x{(}UQ+}A9Ih&#MlcO?|xBY-k<@Cw+w+~8$ApB;V!$LUL z0Kd~Bm+C(3(Q$;`bOyK15iJ>ywLlae0nBkHyzTK}Hfn%5ZkAT(xjh~gVi@C|ZL(Uh zO=S^w-#PK!50A~`3!mq*XadZ`Bc@@KQtvnf0{BbR1Af3G>sRsGj-HV3pBv!O$|o>5 z4ai0|(Jvu z&Gd;-q5L?du-^d%zNcbhiAn{B1HQL%3d{S}gU$Kk>s{f*?~7x}r5a~aLFk9(DP>xP zigTQLLFT;j&VXGF&Sm6-+vMB*d zcd(iujUR7;;C2Qob`(<-?8@VQ!fk=@Q8q7~$VpLhoQQBuW1Ohi{o}MK09BYiQI6b~ zK1qqCojzGjt9?kxB zSsQ~rXZq%pts#QNk*#>ZorSHo>@144x~(FDHj+LVwfYN%6>3e`i7_foH#ScMbw4tX zGj$;86H3G9!TKr+_t_s86dpT4Ba}-JO9jfc-}Tk61ANZeU+-Skf1&a_c+WxMhI)rA zg-kOTE{$3K16LOIQ5f&PWy_ODn92u{R5%>ql2!T4-V>;c{5T-cl*Y43fm320O3~3& zlGDS|w<#tvFb^UMF|_&mPrKX;-qd}rIM~dmx{l=SCpgAc#89$jfK`-NUxsy}lKfYj z42R*bc6pI$hz_OsB@pcDcH}JQrnT@a*REg4*>3WLb`VL?mxR4@Or8=Y=dvGSP&s7)DqM zymCLGiJ(og-xFl67%hnA8dofg6*_~p%dY^D3>Wni;-Z($>z_ogWE{tA#La_+8Nb>V zz{bO_!_04Ty!Rqwa{cjdVK+tb|7OeY2g(XNWntO!G^+~c(%fK}-7hJqIAg8qfS^}3 z%tu93w~;rnLTh{AS=s7`;ghNwCPgr+o62n1|LWvzm`)zG;qWYXqDB%{lqQ~sO(hYr z2+Bw0#uE}_WAf=AGG7Q;ojgKmZdY>+t;^cNg%j#0n_fvs&OZF-rY3#Wzrpgv^^I|l z+`Fn$vG0*H{%0QFo-axz%7iHPkeh^t8SJI7{4_%ub@MT7>}4pSkl`=Vi&*%nC$a@5 zTG8gRaimix6#N}paf|hZ%k3PB?V^l4$>ozaJRaVi=kw_Uh+RB6%v27>1fm;vCHqqj zWZwUINK=_KgoTg`+ot=R|4b_}QN++iPsZ3g~M|%ifuiRL#(wwN$Xz5J9 z9imr@`lHeUE!c2KM86@8=!>mbH1^+{npbYs&Pzcin<5r%k6bnGIjlIR#s;0#sGMli z(ZTlv7Ck~I{hz|F-!kH5pkak`5pl$XVSlv5WDp>XGQ#{KvY3G*Mm(5+_a4L`Lpz>U z#`C6wEsCemh^RJ#H^*hpPV&hLG$15j_!ZB=L6;o*DrY!UP+2X`vx%IlaacjZ`_d^I zw`g_LR`G;dJJHE0i>@0%sbeiR$+wYyo9kC=-+OI|Ttu5a`86ROc~|#}CJI*GW98|w zq_jK&N+CC+4zt|p^m2?NE|Z52+lH3rngDiZ>xaoLIRc-bc}LfEU^qBKYvzMpDycfrSx_YOTe`5FQ6UT>ui6?#KC2tR}8Uqk7YwE$M0ffPSa z;GS^j6FFv!us|y?A6|>{vo$q+OYJKK2#oT{Z3Qrb8&ae;iCwo z?Q9zpze-6`u{q>eQO1JJk#k?o*}YQ|F}uO{>NBO}Hh8rzywE=FZC(P;lW&K#A^gF2 z%j4Uhs$xkl@zLMN0{MV*fMw4OUB*6VmR1Hgj8JYT8UpHnqx z;X*+Pewj+Z8A~x_u`*7(@~v30;Y7!BOAmjEL+m-jso#q7S#xbX;)TU4ht)xWWy?eNeymHtchSYOqld;HYTttho~Pj-?)vetul+c)cVCb{40vo_2kUh0 zMa8uhbLakuGQn>4H6@XdGtFaZiojSf|JFnRwrQqd4v zF4}n%e*bI6YuYs*C+Ap5LS)_vtM%(C z{N!9a^Yy|8rE_^9*Sis%cIl$fS+<$$(8g+dLD|~@xvlwNzF@ZJ{aSeIiPES4?W?2D z56v47H9mbLJ;wnLPdk*KebN=6Tf3>P{`(}gznV12H*y}H^IlJ0T|1}L;G%bWJ zn!=hy|0`778V&AihQi-qI9p&XLmvSl0^lCZ3zCK>RU!n!g5feeLP53v1j8xD5af3d z_cGz_;Q?1*UVG_8pw!=BI3Ji`ClmIKuwXd4yi_6ufHBm98)RN&1Ym62DWMrdR;ETG zk0hW6i(i9zN1=Izr_?wvU`&x9M#(&h$q-mBJQ33pkBSC*N(B!DOQ2H2a^ysNnS{=e ze{$i-QMvz>3$LQCAwnP{AN$)bAI`5f>O)Gi4kwCQktGz>aD=7PrXlVc``x1z|q|;EDe7$`j1)#)Ini1F! zPf?JlTgdatnio3~J};kwr4QIuSg>0tenXeYC5eKL20u$9zFL@oc_2Y}AT@8rF-!$} z84@lU$)};D15T(>B&&R8pWl&@i^qGe49cr{bF~ zN&pQ=fTSB4`bzMq;VEe0u+jM7t*fi^2}bD?n+_$q4tdh{D!u3>GU$_b5Dd`A;63xJ z));gd3s~qJrSfUO}XLB#3WW_+hgGSO&XzOlk^2ye4 zIG0+Uk*C474y#xq<3RIDCb5jcWjqtk=fhyef$Vzh^6JSjGQ2@!zr zL*jT-LfI$PU@d%w@J(-@moT!#?6_R5;9cMP){PQm&a2_R^f0#ZFXx)HM*$ zm3`u!z2%FHH98uldr7`pNg`Vx(iJ_x*&!XiFTJEJO5U2arL4s)PtA%s_UN#JT@oET zGS1322Xa#U)kYT^jZ&GGkIEsDzPw6KN`fzhfW9w5pg>9a6jT4y+p5g^<}|_nw50en zQ$91p?+r=t;a6A3L{FBihOH=U*y7?kJgTkc{Bbz)Nja<*-e&xHfF;rGq&#+4BEp=X z${`p#(l3`B;SoXHexH$%Hq7sho4zBOqkRo>StLGMlnA60eGD!S#0w}%P(4r3Jui3N zaulz0f@DfbmwXgBPw+pk_#=ZZ07d9>-z^Y8fJ1irQc+o^XDwl2m+DuUz;|4!#F7Xs zq2D`ekg6EpKVat#>(x~9Dh9Qu<#K8tX(yfK{ zP40z+=I-bKLx~?G&HdbFtHfg7%98x7qL_t;5#e)#WjcOUsIk}qm2f$)-^)@8V6OJDk;4nhuZZ_7h}sf2u{=2u<)^9=yVun=5b_C8-Qv)FWx zO>;aGLR_3hbttEOz9Hh2m~goQIne!NQyg$cz8CV%ySPlhuuT1OuiBFLZjbW{GRVl0 z^tjJ|FC%c3xhj3dqkI)$4ux1xgH3LBB_#VBBCTX;U*2!8O`B< z!`hxD6U3N-T!xpzO7q2@hN|Fe4}{!mhmNN}L;XVBbWg|+LI4bTa?N}a4`GsiN5xUh zo@=#1Zv52qj;`Z7I<^g+z`NV|y+3;e*V>m*vU9+1^1K4)aqJ6T#VZ+gP9y9w1m(IU zbbG{CG#S{(XeB$^JrDw1nEsaG4P?fGP-BZgtVOu&%()~~xyEwy;k~bOnz_cusrf{% zZHdQlZ)C7u*Wu!vaO08GP)8|0@#ySAMT-z~uMb+}!_3 ze#2VgF!_D7D*XSDeNRnI{cmL7|IK`l{0)O^z{22XurPRKX;oEKPEOAM8u+HaDEoh3 zd%IISyd#H!?<+U-lZPyg$~ZSCia;+ z)`<${u@dH?0>*(H`koB>t`ypqIO>Kd%KwOc2S3UO-YfXuD)?M0cwZ`boGZLPRd79$ zciNY?-iZ+Ut7|7$0lpP&B>z4w3632&!@Z>5B9dIi@& z4p&PGS4jd_N(fg(0QZduITsf$3kNO(8}5Im6RyWkWytqRiCtRQ(hQICJpb+T#4cERFS0yC%zIS%` z5Bz=gq6&jw|KRW0c{^mJ|H9uK86P&^CWnDPqCj73^gLhxEr!E_;f6PdQ{PAiQ_THU z&Y{=VoIX2i$G)R&_wf?#420&ssElQ6Zi{e%i0?7(iZ>)Cxev1KW;b<}2+)Oo7)#;! z$xp&zf6|YUMqw%2i%Q^DoDGHgqey=Ik8Joojiog#8*Z%xPYpSVcbT#X9+X5k{Oi7P zb(9DM^IlaWoj?82tB18LuxSIIaS-8}Hvf&FLBm^TE{=OnR z*v%nQUfF@+@4&zKo34=Hb~PL=0dZ^@Gy92ODM7{+ZW3<;UX`C-d_h$v)zbxb=fSBO#ImSNpHut6OMO@X*7IY{Q`CJcmrGtzbe& zZZ+3zJ2(02R@1k`RjQAUJeQ={mMikxt`49}^qavTw~$cFnF!+PuKPA;~qwHF$MD06vdC{6iOp&|Eoe%a7vF?&$pCiHU*Z6}^ zKtg(@>;U9qcDkNQ`RE!+6lyNNQ}~?Rhx-lD)cYJe>*+GdE{SB%Yg+WCQ(krIAdz3W zyQ_#uRd2;VUYWIAtgW44d~3?Od7txqvI1Lowo)1rHo0J#C zw#j^xcp0fxWtMeDJe_I2Kdwb-iE}QImX|`bkNmY%`;jYVSF`7s=O{ov3^9MFxeVMn zvr(dhx|41P{T&peq=jub&0;8p$TvWTR4*i(y(p!h_u5e{R=S~aUD6RH5N(Xj4wR+! zn~z_5X7xN|h;9@`+{Bxgc!tR)GG zLS&d7u;BnI1;kGZB3~#ZGZ$4+Kjp$Ph?v()W8~8V+9H(o(A{HlE)=Th@h3v5Ep#4z zb|tlSp|rfpGv82u9r1~U$XJozeoylUdmN}O~3_k(`b zKNfG{!M(@?79FV z?cf)0Ps%P(EteKFWLG3P-Tzr4IFdD>Jg0d&@0y85ht96iq!Y&;M6{;4r-&&YSM2$yBxEB|D*5_Shxj@W{P3JE%&wF510FwSSVvzOoKG+|AR3T0?G5Psm z0LmvkZa^iI+W36v>mfX8SHtyn;rWQQL3sLuIaSW>^KtJF;n^>7WcdVtPLjDr=F_i8 zi+TT?M!pwWELA5h*ZFhyxn5+swT7hHaQd&pW^z@qnVc4ECYRjvYZ^uDu5jkpsm|+L*i7!Qu{L1TqxUHWDh_?b z<9zu+(DQtR0{p!&^YF9r_4ljK5}W&+pW7CCUz~d-Ugm0`f0DbQFDTvs(m+$eK*R_y zWS>CY^gwh}FU-|I)rUab2v2;WAX$STVpLDkj38iZ5JiLs)ngDJNiZ#{2fbl1+lOGL z2zQn;2aG-;)&%Ph?*RmTh^n)Iz(jz+C?c_eoyaI+#?E`s79oL%5KFkf)LU5*=Xr=k zH4l9YH*6~pUA~M2%?)jxIt=25Cctlp>V~%GhHYhtolYJ4&KsagjeS-Ze(Hv%H%f#l ziK8s^McE#Whm=H>I?S&Piy)5#9T4V68U{N{>lO~Epbn2<3a_vTclHLPL+ip5+QRo{ zznH=SVfeeBo&aqYki8n2vl_xt4EOy29;? zb`WB^PvnqAG+RDk_By%`H72GFzbqq4YZTFE4lqm_wr&ySm2Ra78zw zsu@_KwfjU$5fk*2#=)@oW?hU<1c|SG+^CS9Ds^m4Tb%ncU{xr(u8b&SHr8|W9rteZ zE-Dtd41e4{t|E|Rs4eE2)b8>mF2XSWeG5Dce`7`xJw(JSKOz$QCX#+lByax@{Oz0g z2NmlztP^gOMD7r$W1qy*p2W76#Nm*X5tx*5oy2F9Ea00g^bh_PjzmL`jNlzhmKIKt zHA<29P2q4r!$FJ0^CeP~O#Cg0)3u8K%oHO87cuOU;K>blw2B4wu|>DQmhi<+VX{NX z3s)&mH3$N@N5oHn2=*cfPBWs`uTvc@V<%Qq+?J!zg%iB)BXF3pL+yza6GGb+F++q2 z^c>Pzb|Z|+NwD&;%G)Bm@4s9LMS9yt+-6`yGKg3;G1DLE#Nc8?cOy0=qZ}PbumV%H z48vj8+&?m+LNiU=2kjI$vSRkDalKHgCYm~~B5*f4Mk!U*4K2M7QHP9#&j&5TEyP~{ zZa5N+AR*gj889TwxcHT<$w7~u)ID%HClfjMBa}YZS2j1@HkT(fm#Zi@WjJ?pKX)DB zTO#8(?uQ%+g>OC~-!Kcm#SVYN*#Fi9pBKfL*C?IGW|j9PJWtr}8zreddIdF(vOQiV zH37uq;WQ7k!-L2%|8q+|*_j;`IRy=R0VyP(Q2b2&@)v$JSxT z-$5prNhTa+Cu;1;>ln<{QSipGK(-=ZDziX_yigfESi!MSiKR$xyhviaP$Q~H3l+osgoJ3rd+6ZR%GzIz{L?}!EHZ`lloSW ze$2EDAoubb4}OYV)HNl zuCU36c*QHb|BJsJZT`jIA~yfxZ*-ehWA9>-|HR+ppnvgqCg@-M?FgEJcz2@zC;n#n zPyAhB{xANnFy1%*F!%fYzxdnOJw&;fN2Jt^yjI1rSl+MZ-Es{|ajox{T9T1keYiSZ znmXo(nh)}I`wn&9H>~yaqa50^6NGF>)A`|ypHP6(HhKI z>aWl0c;7SxeW}MOZBX59P=;&#Io9CB*!T;o)Zk&;_@S^-p}$dXw~_x#qdRgF97_|( zu>nP;5lx{fva|_tq)8gCS(2t1vd!4B$t}Ds zt-p<9w~Y<1U8%I~S4AsLbn7)^J8OPBbANlnZaWiP2O~{KtW-z-m-g?r9rXDfwEZ1{ zQ5}{?9T7C0#VDO8@|~}PIw|uz;~YER4tFLgw>vtvGfcDwpLLoecLnEnk@t6z?sgfy z>2g8t&SdHKQSK6s?pl}ct}g9{40jVj;d%&YdWz1vP2_vZ9J~3WyJehu=E8gGk9$Ut zdvT?Du`PQ&q(ahW0c&d!1c8X&t9Dp{h}{W)Ex3arHhLBMXr!IJPi)d?nD2e)cg_CG zolLfLKt*03MO9z=Y_H8x#I0e}2k*c5n}`j&Psu%fwx1(A^BrR}PI)?a%z%JtG}8*; zU}u1mEyFV$VBh|g71OT50xVD!k2``0ycp;hvsJ81aY6+-T6^pR+qRoH`o5pVwypX?FgH4JP20h??$ z#lYc1N$kZ(+Z)s&wJuv!=qz@?Gq!1!+j7M4=PKJk;Q?x(EhBLFawi7e0B)~ta8Gm8 zZ5bd%5qTP@;)xt<{XB}>3jb}RUpK;z0MMVngdKTd``I3R**8w|r7t}XJzY}EuSIBB z2~*XgZ^;mD*f%?Svhu7m*#7tAtZBzQa4I^e7b|GWpmYkOe@f?g3Jq>rge+$?%(bH0{3YnrW$+dBLmzP|lvN&mdw|Aq33U zWX_^vRbp<=x=T$X)65Y*&f->AA_vS(I?j>D&XR4;fu!aTY34~r=crw(VEEf!YQDR4 ze(`yZ1FMFaa)Aaaw!l|i4a46XF#LT<#D)csnCekjUkLxPAm!3>ue^Bc+@)+btGc;Z zF}|P~OC&G0G{Fk%3=rw%EX`pon0D72{#mlPT(Y_(G%;H~d|I@>oP*(S2a;viZbCcC zm3!4?&&@`+fE6E?6+bmXkIfa*&E-IsYG1KcEg1e5Ylh)(6Bz#f(;WS0)$-L^(w~;N ze>&mSM4!9Y7M0g>&3s|(J4_T(6wp=@0Ey3nR8Y28Z9;M$Aa#@-4PxtsChINT9c?-5 z)t&2IW}WGO*6S%Z2GrIE%{E#CHb$%0$GbPWH#erSHZmzU<>%HG#g-QWHq|g-KfuC2#_-iPjOy3OsE z&H3MyJLoi9h%W@lpLP<&cF@J=VA*iAtsN1(U3~FYoU3g@^IflxyH7d0bVR^>p2LGJ0-P@jlD|uEJ07(Ix29*&+IwM zFtWo+!1_XURvCxq@OZcvIPN7d0gA(dWy4AH0UD^2z%o0L#|cbecHjS2{QVN=qnv>Q z{~71O0_R>62Q~ish8pL`?DaJO=K}Y~G}n*mK1||X%!xcq@^6?F-!Mn6e+*k-!tnQi z=FI>uCKC>3-!%r?cZ{As3@)78PG}tl41c$~-L?l}h%v&fe9)@b@gb_6&Me9lHL1)W$=(P)#{uwQ*Dn98@bD)X$ptpLS3J67K!$ zU|%S%wJ2`2D9&6DF0;t*+#XzakUh9i+-D!&!%#Txqc7JZEJ7as?(svyqqhZ$mnMqm z^`lcAvLn|ohXmxmnel{Qf5G?cFVOWb5EpU*C$beTa>={j769b8b-&Gbkp5=Iai9KX z#x`KC&d-i+eh;uL^@>SpIwXd!fbUmEiJbhi}LqwR@2h==xpu82)xHXOJ_t|5_|( zWS+u6OlBE$Nc76Ae=b$u8x)qR_vvq59F?p{Q3?@_UP&?y@c`$|pX)*#=3jY9@nSWL zbSh%2I}Nb{TYv>D!J`ZrY~K9{1Z@6W3tk)`tZ#!Yd|6i*Cvwu~5zD{0!yC&tE4dH5 zR|pf|GSD%}lo)PeBAFO2ssKVvuAaO_49*T%T3qdKT3kbHiWY-SzIzXyRlT|Zouw?J zK#$oxfIo`KwXGl7#HlO@+014~4;kSTJM}6&Dz!H(G%hI+2(YzCTO&4hqk-64N5CGd zzU?D6!IebKUw2iawnTg{M{N*_Kh58d7=$X_PaUdl_!oaCDF#Qe4JgvZiNh<=C#gy+ zF<=?HqcMK9*WP2y_S|zo`4)I41;gL)@XW=b_T$WDMLb0;m38w`thIesvTP00(kkpN z8^O`|?R@zY99<%F(X|@S@Ty!|sJt;LgM`+T^*Xf4F%7zGU{&%dp~7L_S=r8Tz6EH5 z6l}k=?LC&jJKMr3fsKK=Si$XaIQ2G<2wrSquN0?g;gji*|G?j!uASe9MLX`6CrY~? z4zg-{o^IA_d!ZRcB7K~Nb=@|SQbzmGB3cPfD4b}QIB9m;SVN$!Q zAHx(MoQp?Z8=$$5(xM3Sj7erV-;6PpR^5z?HElFZaDpisCwUi48`XsNvm2*HZ#Noe zBoHW@W@QM>JY(c(Vm;@TIj1}q)FqZ^7q#k{e(JJnn>8;nTf}-T!vq6 zue4QAV#)zM8SZMI@eMxRD2S0?D?{CTKKUD>4U?R(vUb{hN-1uTHD%?v9&Tc4HPZm= zTeJzo@!*CgSu1uIhp!Vy+UcDKHk<*!R4kBnGQjk<+$Fe>Sz6d0ml-2(*6F03G;ij7 zHY0zf!<3U141WjiJ6Wu&y@TQJUBY9bF(dW$++@Lj)+|A^r!9i_Z7AY_h4BGTwJMZ>{e2{sIsC$_L0LxLF({mxW3WutMiWqYGf3Tg zfPfO#Lg#-((+n0t$j8(Rmt~I9irdRAV)}`sVyUcSx}2M z<`R( zy)-N!)uZ+={x)pmZg>}mXevf4+@@@P;|7gf2f@bfN~6Mx?kT(sM?Q(;Q$b}O-$IH{ zKt>|Q1=#5wpqz7m=1vO;_J<)LZU0=MLWAkke4U&X z8QuF95{>V31pW_`Z+=a#X#A|_%=`YT>=`pk^XUir=ieXgW&apx!C5s0z7n&5ml&5! z6sar1cP2sFwdwbDm@Ve|v(qDc!byOv${@mTsOm>96F!G)g%7qI@{Hi7a#dwfMl!;S zf7E3txWLmfGa{^29{Re387;hSHS>v4KR$Olc}sKe}+aO<<*V$;;X1 z+!_K{6Zn9cR40M#o)GqI0RDZMcw+>;phvS)0^7jMbJoSaG?}or{*`;#;s%TGvGVLt zl4nWfA-mp}!o_=h@7`>)%kXyk)hmv#-PX2g&Z0mE;@Zp=RjMq%CzInakL-C-yPwNz z>W2da+BeU+Vnd}frv)?L&JoID;dgpKWAr-nQ5)6N=C@Z9;;!!zgU5+P&M}6$@7lf)wxTd zG5<2&2?ONe4+MRBSl@=es3$`4FqHb4+w0Zjvl&T7ltzNIQ_|Us57oIX`8E?459@n@T$GzbosL?vOCX^a-OmV$pfaL{Vn-k9l9~29xfV(AI;9a$5*^ zoiCZKOe!H)juHLnd|YWhF>eH{qvpo=~5!q#6BMGYD7TFFI^<80nf={_1<+An?mchhyF5 zrRH#^h^2G9T_ebK6DLtlP3g9qE2=&Io#^voaISSHxmbc%PuLi?}S zxpaEs=^7JE*pp!RJK4JN^kd^%RO3#6PkJNo=6It^Fo8H&cz3>i51;SA{mmtJ)0I;1 zu`%DNdv9?_Qwg}HbfM<=IY;>Tw~B>cSXbKaM{hMNzYAVptqy-ua9+I(b7L}zQDZG~ zOgZlFh}Lt??BAT|2jv*gb}PWX?&fkEX4h;_qy z<3Lz))n*pY#GZ8ILRA!k%nY+Q=X%>hJwv<6a;qRp3sdXt5CstA?L9!4*niN6Wu1dd!O3L#}kH7eP z;!JU5&6;f;Ton3|CwxNsOCis8V?*RbHs=OUzy;6T?}qu`BMb2DM+CxrPSyMql%cx9 zLXG0W9>N<@!oWgdv0L$-o5o#;@cxakv}mu46GuF7u!unE(RxrRL_~3t@B2WndZR4# zCRph!rX*5>61-=vW+*4(g^~`aFRHH=#Z>O4gSikCnIoNc;s8p505*@Db@2>?7lTonRvlSMNNjYA0H9vPb`>S*$sZcx()9H3o=?rue&cc}u z^vE^@TaU01PO`@EfQu9cF9vq3C!;+kV_wOO5%Tha#Fxkw`D1!QVyXqJdLZaiA|8tK z7vho6Jz`a(OV8jNjKRa;DQUirlY*&RE!m_L3FVKnDKWAY)?><^V=u4rG7$UjD#o(d zBoBa+xiS1{zm<+bqJN^)3$mxts?jf=gz_VSrkRFF zP>SaBWBS^3^4Y5UI>6J#O>$QklHYY(uGtpw*nsGw{g$RW!%hpts>7qv{bO|XmeC>7(oF@g^UTd1^hAJiiHa4M?qp&R2c`E%SNUY`Wn|5pr_Kka zsEC%IOvauGYOMptKw{dNApQMGCB`s)ZP`wp6m6%WW|k>^gA`HM*rB4qKC+wn5=0&M zO*z{vWeYwj%dWaxPlGCH`Oy%mI%j!u|KX3Z!~SBe0nPHSomHrd>e~oc7b+**x+X%2 zHu}Yi!ps!Dc#R;%E+Xfw`XTlVP3rD_oZP1aYb?!bBCSn=z*Cr7Vb7DvQ#~U7qoNy) zk*ZVTU5YmzQ?arVrhi877mP~wjgm3-%XP-Ah_nkBv~Tx1pf+ZlbsqX!{`{psm71d= zx}Kt^DSZZmkn=9l8k=#Gi|O8{=`!F-J%h%ejFgqG6tmw-^Urac6sh`9lLj_&f3eDr z>R~F7%Iw0h#G!mA`D(A+z!KfY)6lk@cD#I2H$u)ph>B?h!=%!tG-|glTI>ebfx^M< z2qxBO{N-%I(xkw-s?f7(xT&5fn;OvB$na3+hxJqppTu&G)=JKlSuw{NyOIKM>|3{) zGKKLAShn!etmx0C24Uxcr?x|w_I|bgL6~G)BgBP0!*z4MdaCpCK(cpXi2HCTUTTF` z&!BN={Hj~P$HwHIVq3Tw*d9A`wV{h$05>g;Y*s}V&&HVTjC<{jAIu&vY-nGa&d_V=sTt`rY%U=7;-oF%=B}-DEfq}Y zC2W+gnhmbm?85$*w=j*jDdx$JHq|c5ijcO71D3T^`?N21u|&4=RLxn`5C(4o4Vi^yMCKv!d0Rn)~q4EwC<8ED0QhJjkO_o zbmTf6C-m~RZ?L;RMj^6TH!4;~M!8sQ7$oy=b%S31k(v`=?VD8eL$ibKkM2YNKg-xa)FQ>N5R0?U0&7 znXTLA_)z-jY zEM3eD_tV@`vtDq?oJ#m6;no2WvVQo>+!micS=xzqu9CW}4aKsOzWKC44SzY2a;CPq z%TIpOPh0da^QSI*srPdDo(`8b{|9$>6%=>dsC&9`XxyFP?(Po3T^kAR8Z-$>aCdii zcZXoX-QC?nfM5Z7H}ChYz4lD4RW-GzYNlqY`lt{3sJp7``9IhFTl$%BV*ai3Dr&B! zXfBhLPgr@Z!|}uO?VK;^Dfiu!r1I&a&gqLt<*TJu0QQkrq+aQ_Y2j=;u+PA9MX@0Y zoScMb_a|Cy3}rd#?rtAEBOFWpEzS)+5B0PlNVVQb@!Ljbl0E5*HkqU88l2^N)K2K4 zAXSy=k8ab<0h=A|NjhaAy*rzK+4;C;@v1BtBT?HDl)2Lv%Vabw?xynwmczz_(FtSK z-$hGxBrVpPC+x;sB7c_dWgO=;9UXb~mIht;Af0f}c~>j7Ps}D8&CBJAgORC8**GomRqNrZ1To< zHqzLc%;{GjyjgjYb6oS})1+mBj@b*m0Uh2NINQuD+O}%`9L!gBa!0*2#jDuvag{x2 za6d7{rE(#`qW5>=N{DV9RdqU~YOkbwZ$0@GQ*~SU#eDm68I{xt4_|*$#EC%FiBNY% z=fLDh*8UjYhBRiz@6t6O`s`kFhjc>u9jOi#zU2nZ0hsBRrq%WK!j6r{0X>4kgRBEc z=e%IxdT>$vgjDyGMVIrB^C?FaKUY$$oymSyjab=_|Uuut83JRoj0D7`k!eTgfmDXT!z;Eu-aAOe*62RE9T^F z`q#6w?iq63W0mGJ^`W!%g|pu}I>cl>5tBQ#9v;!fi{O;>*|Ml#u~x=UcRGf@Kt{hT zlP-UasOVN`X^zw0K=Zj-Y?)c{Zt;X13Lh--@i}rGt_e&X3R>?uw0x4@xD&X$`U&^D zw0hZfYRL1|Q5Dq!SM}DT#yY<1=)Lo>ob$f!A8V2vZJ&}$tmaE>_>ZbN_Gd z+ZNo?$)m-mS=v3j;4S;?t$eGCj1V8FiN{r)^)+}ecTp1$w9i}JYWb?J(z;$quXbN# zFSWEU2~%zxs=dlm_D_l}T6j$}FTARjE-CK!JJ1fmop`^tg+Vte-aS^JUMuI)ufOcG z{y_e7vLyXHU$;!${AK*zEGES)HpDjW{tF+R59|jkxR9yo#U+HCL&TVy)RMcj7Ehs= z=Ucv^kzX!r&E^QG_c`xPKI)oO!tYNFts}Bp>{V}LT0Wt`BMP|g_AsO#nUDzsaW`#k zhE%cy-D#`!3l7cFxoxI1PizL2(qb)S;|a|*B2(EJwf&)P4vO&EjM`nw+AJfIGX)wf zdUtO|ahW75wDKe^ff@`7NwQ%dAsoDv$8NfmajzT&288UwBEEg*3k5w0kI24vzJkYM zSZhg41s~bUb~p(KMG0%%Ni7$7%(Pn*isi2iPUUxnhBL!u)L{R%{Qwm>j7ce1YPbSr z^$-4D-*H1g&zCWv|GEPWk3y(pZ?n;kcupy6^{(uzG}0wWyT{pal{tb7imn7G{d1yY&}ZKhKwJpP-16+sZ^JU<*)@cwk+y&aqUY@vMO;nb4F z_c>aXOu^sx`zP4GxxQGCfky)VQTjr9Jzzjl>h(4QrfeuMsI>6oPSA`r6>7+wk`!v_ zf|hv{&r)hAWU{feG>Ui4p&vDJ!+j4mYHRrcm0uvZVK4eE<}Gl5Xd5kXL=c81cv4t^ zmT*?NhnA?;eS-#g!{5pJkSC?!6r<0NG^wWH5J+s9{)sl-w*0Y3^lAU*P~?8uTvfzl zks(I-_c0Q>@cF|DO70{(*D>c9y_*eZ7_A#h!5{$_N@1TIqY`@(G|V_#+S4vFTb5`0 z7;AfII&xXt_Qz9}mSrQ(iK()Z(}5xgLvomW z1V|}IJ^_8rO#WT&Eacr+y)lGlpYysZvW?ST_*Tcp-|%fttsFxnA4`SQBwWZ7rzO3) z-G`(wm8IXy;FrbC$dYFLR+qDk)tZ%OsKSv|Wc!Lar^MsxnxG=|=T=iq3fDtRLs5Qa zUQ>OAU0a*m zC&8X(nPPd^W0mC!0NE6LQcH&`DQX76S9js9Imkk0oSixjw%43{QFYf{M_88D-DZ^E z2YM`7wvbY8d@Tv}-b?Z_{(L4fYfSy?=lc&|?+;o&dr&I0(;+m!I z1e1Ov*bSx0PW`7Cz8A@}nM%bkeD`1;D~0#TB3_aA(IW9usg3rs?W|kqSJ&THp(~x{ zM=Md+N!x!X!u`-jmGVLu3y$-nM2Sucli=NKi+?zro|NQ8gHFp@3)}4~nmUQjm>U;A z+gEqoJ=ueqdeJ%*>V{~AhU+Kbp&c6`bB*?v_6A?B7F+sw-srK>8D*#h1{T{V0a!|` zyighTe9UNXSZYd&F!@2>_yCG=8umCOWe5L+(BA`edVp}XN^zV5a!Vl5TB>F)C2qMM z921B`T(=V%uP*i{Gm9qjxEVZt+x$2y{}|ziXJ~@nL|;f890dr8gX0K8;^28ov&n

    n!ZL*7pnk*%q}QcDHd2uy z0mlc2h)bisou4j=$A#DTQsVc95_9Iq@i_%jk(N!q7st{N2(>75BbS#~(g;bgvle26 zt4Uw%q~&cWo7g}_SNWKaeSK9};(axudXAU~DWucCotX}~;1mXPFevB)HPd%-9>i%F zjS@$-N;PmR4B?pcXCND_JxSHZGfW?#6!iu;@#+(QGFwY1g1+Y_H$BBdHcQ70w#@=s zhyTF8ZI(j&<#tdL)O=bv^M4rK?&dva^Zn{VO+m8Li{;rDT*ht&vZ45C#xE7QqGnDq zw=?8T&-pGnl8H`HAJc#rhPqG5N~tgc+qIaB;Wa2+2L*%|GWaw9D~Bx>hB{e&-kAhZ%muWMV z8yC%GYa7?iE!`7Fd=dA``wLQ;V_bBCIrt);w4+&91KEX*LtS6|WAL9y-j$7db^De( z=Uy<;KV!A4J+1u8drBw;18meIu`mqarMKTpjrPQg)*AgvCs$=ZaAbWmhw-m6IwzsNAuRaUvb;-O%ZfWUcwU zf*aKQla&b7*3=LL%CV9yYtoL=n@fjZUv8>d(01_R$sl_yZ5FFnj&))x^nlG6?l`!p z^@-RwW02=p5WaKCIN#ruJZaU))@UeiG-TpJ7@L@=cWWN7Joc6sGyyg={j`9b8X^f< zPpYK1y|858R33>~yFn#C+(18&2#djhrUPCZXrLW!wlE>jZeEQFa9@r$WIoS!RWufH zRh=liwYT6rAe1sp+wy#cw6ke>O2HJTnmJ|jly;jEevc|#;fBSa#${GHNPm$sN6NxWu1ccb%oXj?|5r_NiQ9B zJJt_H?~?~6>^*8S)(@@jt9QQIf0|m`IPT`_E>d>Z`<1bEcX{^%%IVY#A#?R*lCKYY z@+crCeFv4TwVQ(Mw_nQIPIq!^A6ND7_Xa+5r1$)TP0GK+L!Q@Y_#TJ(s;`rNJ?^D> zK8~qEj6AX7VOMZlk?Z7j*3J4VuQT67N!5)Eq!TU{b3YSDcAL%Bb<)Muo|{MZr*P@Z z$yD;^u`=U7x^HV_tnZe8XTEj9&z!veu6`xm4s5?Kom1M70A^bmvzaf#KSFjkMS{_>O-?{IT3lKCn6bFt81ZLAv zizoB{ll#Vj!9w|0?mHk^Ef>zrq=p4Rivy{B!_b<@V{^lZUA;AiYpVXKeYfUflk_B! zh|{E!b9iSLRf*G#lb1RoAsU;&TY-_VaQ%5?lu0-KAsut_owoa9&9vWRtxqa2y!UhXAo2lN!tbA}e{4NmJ6zo$4w8 zLbWN!^mdXKM1jL_;z)@-OVONz{!!pCkQgpCRzMPoFWI#e&FBs=62wuMj$gN*iMl5&63FT)#_JEb}W*vr~&Nz{K32Yo*-%CFqOVSDi9JS zUVqXym5voi>!Un$YaXkyrOs==PVoMP2$cr3I6KI{kp@r-2l;B434PpSyabU@_9`38 z8@~1%iWYG6t?EMN{_W&({Ha-X`>PHPR9*wHXLl8h<%xLr$~YqJxA$L|s7&(BxecJ%{1h-QzMDDY2xhP(O5DEp~zS zC1%Vf&;jVa_NR23OX-Ywo5_DFFTQ}IN!IG2RxluOqVco}Bj!CSg>=95=m57?u8VZZ z=X8}aR?PnC{5nWqp^uU}>8dFFh#^N;lTrfpw8_jR0ntR3ht__t0kEt`V&c|G{0E=D z$rD||D2CIAHCw#zv%dIAVW41vAWAIy6z~b{_=B-L4y{QE#jYxlUi7jw=@v|1NwF&+ z*bB`rPV&@GCrV{z7G~v7U7-z-@=q5t@t1(7av&3@>;r|E(Z)bp-z5}Iu?0Ye3cFES`BHrzHYo}m)XT)X&0%!D%0 zY9w(JgbfLRSBgWkpHSOTr zS%cX=#zD`QgE$`gD{&dCK_fNUM3j_vjL{STZkuFro7^WDQEqE` zLCC~lSn#)UAXaIOKRuw9J~`E<{38-{pcxl8U8}-D#H8K1(OG>T_^_G*AcfVR`OVtJ z>A3VI0GSu&M>s_huT<_zMbbKL)ehv#e3TMS|6P=>%8}86_tY1U2>{8x8;AAiAobSM z?Mj>#G%)~dcBz|7y`9d*_USwP$v|c!AT;6%-tw}`gA+`;$}q|a|8%@Q2VSDn(wSYc z+Cna%wdt%)VjrlAm5CF!l;nvSAZ_&%&4FsLGBugj`g8FtYxCB;(AeEkuyvU}xC~s9#Dl1?9r7W#Q67&A& zXr^Rxv;B`q??3PVHfG%q+9AM_BAjKdqG95&sJX*}aZfg@g{C|?Ju#cyxvxGcb2Q`N zmZHL=iN}MXB4e%kX^NnePYt9QzLcWtt3DNl0s9kyMPV2}|6(X7XKUWw5(QyD*MP6t zP*z!KoY**g3mNZrp`_T3QMZNVm^k#D`xhO`CurcpS!IaU)=n?ELfMnr%@MisY>O$8 z+jAf5LD=N|f|vcsA5YQlU|yfL3ybm)TCRXG>{!h&refZv=wGg^M5(Y^*!i&PFb&xM ze}})h_`DkUzH{-1H1Nl838XX#7Xelb1*`ajHNJv%UjC0Q@c$VC zpE>2^Vnar*|tHOh?>_ec`eaL^;|Ng(o!D)XS zzx!{>-$b*s#M29;<17FB@$diS;H>}R;J=NrlOiG@7QETf&fV*?osIqf1_$pHrjv?$ zm5zCpiF}a_dzKA)lKsEI!F604X#sDSPzzmgde07a&U2kU)Vgx6oRD6V#5ty8$evo&s=KI ziLoc>qW!}1YKfXUpDdG+lsO?`@E+bN8XWh>4Y6xN?rpD0C~?w2yxjm_8Y$5PD(ord zPe_i=Dt$`Xe~$-agJCvWVPkWYp%1ME$ZmIG`_Jd5xY*I2RIwD;!J5VHKs`?Mq`$&$ zNReE3rxp45#7IKgFkDcMn{gv~3^zS3bUFNi&j zTdts3sP9iV41jeqd>e@=BHiP>tm=mxS0&~MA_?r$RHH^r*9`O2B8B6$R(J}2C9xrf zW4jI@y-TI*>$BbOpQdn3u|N2+nAkXEp|_3P2DoolxLBUn(7DJ{kZLP#Fw7yoLXW93 z4WzLiSqY#AT#8L#+}yOYk11uf!RB?SPLubykU4t#uc>~~P5*pkJCBR;{_Y(@ z-A{6TK7px{Wsv-eW#KYpG&dA`3ge2}69sUKi23*fEZ1&*MkF3-{XD%gUB3gT$_2nO ziQ;IxrORPn<{Q9PO`oeH&{r4OVa3roN^3qKFWf28iE_6*CVhzpAL6HCUj!u+NjuzC3>-ofh^Fb-ipz`P(4&p~aui~(mfOi9k1z2?Q@>!)JBA|@GwkvvR zPD*QXd5l@t^qG8m9`nd-!ewg*MBkU4^N2NUM8+QpRGO3ZTJWxxPQg2)yg+A)0qoG< z>#f7OsIW1gpV9tem;szP`oGl%n%;P(l1nEmlY4R_B4l|=U}|4yY)6I-V)V)TZO6nQ zN{9oKY2^Lr#gXP`Ou0YYH!P-&eQ0(Y7TQY#W7LZTsK`A;va#I`>JceK|8P&D^cd)W z`P2W|X>XC899SOEgq8yLDUK&fe>{k208l|;fYC2M8=q~FiNHVyz}jxK!h}Uiahap0 ze(X>!@%%-5%ih2&J;91)^IPXG!5cl2U|&M9-HS9Yn0a2iO#n|&!j?SyNjp#dd8jxTYLX z^UB~Z?Y0(b#2EgNFFO)QSlDEqmw6O~Cpy#p;Nm|Zdgwtny~IWiqo(*{t~{PA{fp8f ztY0Kmz7SIm`aFvDiZ&h+pL@d}bbSruZ5kyVs zG`XT!B*dx`gesM;-7%fudOU^XQB5(OOwE9O{10+iARBI)?9FnWp36*FGtFldMRL?$ z6SRiZA*DmkjK^^sm4@`C@k8E@NAQG8bVKHm(vjfWFDOh66Fg! zgTJfGlg-U76ON@MCeS#k0PYUuOR;z4aB8vs?F9h1@Z`T6-lF2|3(C$6jl`P|gKogn z31|BKzgup}d_NvHEPRQDCx8U}KV-gK1!sJM2G;QPldAk?rxV^i&G!DuS8eEL-nmVJ z{>kW`)b)GB^Zp3-6t8YYaBf6ONNN&b)a?;(RAl0V?h} z_z)3J0ukYxqHiJ`-wh(dMXBCIIC4EigtL;oiSV>H5w1e`Ccurh4UuD<=;fOD$bh- z7kd-oHP~+=oaar1qhr5`aHcmA?u@l@^LkJ5TjVNa3Udb={D99PdY!_CdB6pJM0FLt zEs4Q6(F8xi)QR5J)Vy4%{`kB39U{W}e?0$A06!dxfv@IjUbh;4ymWjQdv<06KTdVO z-hCH&z4`Iw~{JegNl#2e)2;fmZ;(w})VB zfaX$w=!3gBL7*aEptQHUY^ps{F06tt?E6G~cycKDSlAEA_=xO5^4m^{o&fn;*yLKb zI6OhcSXlBFT;X{1r`X`zS_6+b*s^U@mt)j240A6(KvFHLYbk0{ZcvOTAc-992qW}B z4asELMiIitV?$5WkhHyVvB2W!wgh3eq3mAjNUq*tYvLj9egJ3hFqc%I&#(?%;(54M3n;@Scm5rDed8ns3r$siH=^BDEa3?GOQ?b3>xmuiCm z2pzQvuWhv{yNaATR@ak2THud}dcaz5jp20#Y?wrU48>Oj#BPemL?y#slt%77*kF;z zObthZT#@eS!-(*)S6XAHx1;Fe0I+F5Z>Z><*4XG~SR~tUj7J-}?bs^scs)}jY{D>Q zjJF*4e~NI4_i^aAMrjuMp&QNjOfLatwdTfpq=pJ%J~K_@T&{C z#u27r!vo?|Y+~IhpjOo)OXX~l#KSKh!VL&wu2a!U!*J!qQ5qhCMCzi1)YI1iku7QI zaVMxrSE&)nfF%8JHyc~eRJ5v8NFxXr-WN7O9EtxA_6lMOiyuHy4Jj!WGCpLBkEMo` zQVaVH$@aiD`{dCE=_;$4C%bPZJ25eE$0A2I#N#0?C$l-HZi7fzR4^u7;7cPy! zXpi(HioEJB@L-EN%8z+!huzMP8_t2>ZbwMu0sRC~jJCw-b`(!cRI5xhc6M|ik9VU1 z814C5Dfyhx1*nt-`LYElW(CK71uUoe>BR-Ys|8|=fkLY}WWaohQFl>0GWk^x8HGaG z@*JslTSdkqbzq^|=fY&(BAur~mC<}XkS!?P*0i0_oXAsIp~&zlUz@Smy1mHew8-|f zSgf@;Ri{{Ap(Mqs#3a1L>vNIoXz{nzBIokr4+^%Q?Mi*xOZ)^&KZ1cCA$Ei@AWuhN zslQ-Jkf3cGk!_kFVFnRl)~QVnkTCC*prGBRXqBL(ouDk-ref7IMZvu)ouKYBL4$%# zlN~{e0zn&*O@|;s7ZJgaQ|n%kR}GPS{}cYuD*i~h_1Gx>L^=M{XX}}C{JGEg3kudt zt6o2W?kgbt4MF@Zp!E(T{vHtjVAbmA3GZYT@2uSF0_456>h`N0?0tnJ%KhT4QA+67G8 z6;9i9k=yN&TjfgI!-CuUDLVKhI_ienUC-KOtUFpNI%gKITfAjz^)*xu9TfFHi!skq3Djc>kN?X&K&I;V(L^^ z?DVVXK8on7sOaLw4@wr#K}my6CeMj220V4733~xT^w3~4fr>pp!mR*`;u)vpXo`TI zh{NDt?7bJ_p^ALru$jHEhDeA$Hbp0~xq7xq?7h^&y}Q1d^twnyoqYiU@sN}T zK55b^fc@G&B4#vFB^zJ;DnhKKLclrlK^So5Yq1W$>aW3zrUR*LPqy zHYU6n;P)7LqBamc7-rHr%o75eQQ148Z;RE_Q!O`o$uK~(j#g^;LtYK33?p0UIi<}I z>35nf4j?<}O2_52`~5@bVa9lwG>O-h(8N6R#3D1nWF^+x_~(sCtgXn; zJL_LoggX`tCwo3m9!FN5c2172PF`kuU6D-93r^iSRNeVZZKh8>p;SMwPx;+X0jjE@ zMW)X|)9}hQh*{Hj?b9e(-e@n=0OA=emRcO68Q_;0f{9w9u9>){88XK@a?)7>p;_vz zdWZ;T%9v%$`oz33tIjb=Loo*fewbx{!QmFc5^(f|xNzmVx!$9>?$tTTDjacCtoKo$ zMXQTho2*3+ z<#~s!Hm8@x4C1Aa8=u{cmiT|q6Xz{qc|%+{woewOpON3UmnCkF|}D}e~BI25bC?^h>=R_shyG4oa_LRU(^VpYCi z)G7N{zpQc@tu?cW4a^48uRk4Yd$ZOxrvzTmKh8H=I*GK^puICX|QIc9tN+u9L%na$xLDuF&r4P z9>iqYczGXKbfc1V9tf%_m@^tB(VlVMC1%UAvEIW{#s((5xJWGB;1MUr&|amazn(XLy}teeyt{%HyMq021^@jDG3N^S z;|gW#3eDNUHWeM~KcqN8%Mzg!e&m z;Js=$y#N$`NF;n4S$GS%s}@-t{kA<9xlQf1)dliGR&ah};!WbnYGTL@hLYO$D3-0g^(GP&=0!H`<h9{Xge25&L_WPbHzP7YuH4&D?1-|YPNEe&4#_l=47z!_jXgL2{Y z)t-OGz(LaBqt0+TYH*XPZ%lla?d9|kb`cD#$_~RN4zmu1P;qid4jg6|9R^PA71rey zmK|`)27tx@KtwnPBnSQjnyCl+&KV5pg|pUzS*F1+zn}m+P_UusaPK2A;@AiJFsMnA z=}r3vkizMiLGH0Ly)e-jbX$be0aV8N7mtu$}QT8}q#!Nzhl)`-sUw*?3FOnMtAVL|)Rq9DuqLNBRAgWU~ zhp#h&a8fV}WTQwnx{&3a3+3XUUy~B$YiX4;cwHse%M$1Yb42~1aTV(6)eD#t`jpD& ztu(WQa-hEg7mjBjfp94iNFaRiUx9F5Fr*OfVE+#i--IA>m{;WoK9`^Uq++7~81c+E zBQE%l5$}I9;+N}hM%?(>`)xb(eU9M^nA=YDjyzsCXS9QWjI=pvKjR1?CBkcbZNsxS5=|E_PrB;TeBm8$UFz#f_y1c;+a zoaCBE3xM~j`TC;9tPwKoAE0TZAVY z`iH@!G3JgGzlm_f9A8GWw;cFsa8c?f71c%f(P@kh`TsOC|{y zM5_*C@O&HIdxL!2orKYl#1Qg(NMeWyLGWZUZ&L7lex_RJS5F6npZP4>Y=xOE3I8L)t#1gt9A1RKD}8ehfdtI_VE8TCP9wK18|>8rXGmya#!n ztK*Rekkk)TB^bsh(dKB;j51W2Qp$GnEBvd4nXhY89>{hHE0i;N!+nwCBUkTx%yCm888WNQO#l`B9? zqdI`rg(~Nu2)I4Q6y)ioY7g9f7zFuHM1t8^@W0yIDYCq?aWS{{)HM1%@*44eNsWaj z@EP*TPW83H0_SuRgbM1>Y8(+PMGOMo3R<4*N#%w=5%gDp7@gNiwXx&O*79SZ)$8O| zW;0fgu(a{JS^Nw*EA}7(B{RIa)FEjr&ZIUaD_+g;A`TXA)qqu7jfVfYROtAzA!GBI zmcO3?jek11`QK?9kLrZ1i{%R;{{RbW8Uc9)oqFfMy_oNSM1E*OdNM=}3?ZU@azy!1 zNxZ)41AgjAbU!(1YEH~>$stPo14>!Qjm9XKLMpOHL^(-+xVXsuaB7Ayc@_Wo#8L|y zX4^1D<7=4Ifq@XtG%%8~o!K1G`n>Sb%!rEjEOySbJAyb;Ia(kmPX2x_y=+mhdTe|m zA-yF7r-g!M<~7cfv4Qo`SAT6Qq)qb~Ak_h(9)c;h$U>5O<>1GPdw%*5gOy2782l#~O{B z*Z8y1RW8HCZrq9Y$k-uo#(k%=O3mjzX6w7zkuJ|}Y@chK4r!)zkUm)-+6xLtr2xGguMt>I}jZA28Pi*N$h7ZIxV;hA&i zhXw&V9@=@3VA4(>`}Q2MEOQ8s6i}UuR+`fDJoKHW*>F04a*3?EC3C^)SbeBA>#9SA z$$r|@FnuEz@zcY^>*tNTFPBg#1 zSiBR51B#u_{>r^qq_4pn{Sor&oR15~CW}5ibDhm+c#=de&$L{P;^b09R=L!rX0nxf zh#$m=lZuQCZxS?9YbwU$qK27?^N#hQ6it?LxV=w{E`7XD!!Zq)hlC5wYbHVfrjFn{ z9yb>jYSeqpf?44Lv)S5IJC6Y(vbIAW(cp;~3z+?t*n&N&ZWgDALIbJ}s(q?A5f1+21-eQk8xX1_95HR*)95T>qX=CUIv=}NPaPmbYlzt)tyzhI>Q zU~m9+WJS{h7#MpZWEDFR$92kxz3t+PKX+AlI#=v5vFXj>e;{mgMv{`8ds&_T(GhK0 z^X2IbT2ZMKSCbushgUk9kYfeY_%2XU2d`AY)l$oy5U;FD#{Rpv^(vWb%MkFgKKw72 zvtb>H!MF}V#h1a0Vy4au#$Wq5ABTLp?mztb+Tsfl;WhX7J(#*Ks{XUCDCy^YW#?d* zP-~st%qnjdX9kc_xzk?Bg}2>|gVI`6+P;%$n}fEofj#Ba!RmNJX6K0Y)@xcOFTVRE zvZJ9i-Tl$H2e;VEifDmqOKx(rQ}Lf6wU8&a)0|>KD48ntO8c<_1N@Zgj9fgEnuO16 zx(PMO@jRe4{HB`}gT0!Jr<&G1hTt6}lZFn{Gm0Ym@-BP!9|5&RSi&VAc@sH=Q51zM zMv({S%Go{(*Q_?zGIG=_5b-K-j5F~~2({oVwzPow+RE$NIf*4kIp!)_$olzuR{47U zyJ+3}=mM!%3^;$5b1shm|G|A2b+Ab3Q$w^~ZOUwyK?FsB(w;gci)PKtI}O3o6$AlHo*5Nh z9UQY%g-rr|-Pd(KFr424`dlF*JQ1D2p^~;iguY*d*@Azpo^$*o4O=EZD>ms4Ov4;Q zH^(0TGE#AjK^2ch!xCrPvO=3pI#+UmlyHaC@ksyHZhre`|dbSM=k_M%Kla>bP6i%<7p!IfDw14Yo!>{VP%rrC!*p;)v&j`qxfIOy#LYDoERZEi9Lj-Qy~t9+wwj$4M1z&ggBW`Xgj%vh z(j3+#W8(?wq?xi)ii*?ygUtg>t@|91{PY4cC++wc0C$>pU6Gcn)uU6gXIyeKVTie6 zX!5$A!%!)TtA9wif!m^ck!Y9~!odq!1S&<>ua!h#CN9_dXU?U5R}70QP29{4-v+SW zWi&2l=E#zaJnnJ-J!4&08o4qXsdSUChM7!tsM(S3QPUF7B%wH1mq&E((DqTuO%y^- zRMBG|&689>@02MXm$3>MHGWpH8LRzm*jwSyc@roMwn*%RkoJbpgZ$yDw&%j{o;&R= z#%A2cX7>hLr6m`T-$VBI#Bt}TnA8~06+NF7M?b%3@o9yB>0${`;}{>BVU!wD5*;=a z6*HN zmb@Yf8~KGY0HuuLMKBGeL)C{z-LOYvpoZ2`McZA4Abu7|!rtDXaXK)2R{7H$rneZS zvxG#L9ynJk{F@TJ%Me3Y=TlgNGUe!Q2TN3lgx(H=!|hPdx}eeOj`q}{Mj z0(aSuv|iGq5~isyP;-8RSc&AoT`Qq}yo+ty*N{t*kQV=g)VXDtlW1;Ke1 zEEa9-CNdmlZCsIwYvO?gpP5DJf&2{h*vf^K0oJF6iN8`KY6c^U4kIQD(y7dglp;NK zTq+G2JXRh(X}cqcK0-Q~I=YQIx#_8=>*A3si|6NytfUgZ5*2W8RNbnY-47UVBYQ0} zg=-xK#}agH3U%EZmh52rns6jZzKng7>1u-=YNuZA{<9{}spp}z?5Q;^W2x4cIW*xv zzn!4BYd*dwB&GCI4N|Kf^N|{VRtwr!iks+mVq8fR($_*2n}d~}=N6N6;7*NFk8%Hz zZq%MJp)No0WBq(#<5?db2r?@oH|Nm+7qE1w3wO{sE+Y8o@W#QBQRSjG)S|nT1m?yC)(wNH z7dD|c(y1oGo~5ok99%{rDI&Ms9U(&A*A5=b(7^q2oqKp3wExiYtxoW^@2zBl4ouBM&T-GiP*t_ zpXUQvT+^d)?X(v;|BpuR12;%i^k2C3&K%qXY`8Wbtx zZtkyK%)I>Fj|N&&kXnL?4vmOeC%23iwT(eq?jZUko&6+Bl+IawZZpG073VBtV^-m- zXUp>_GgF8n4whi@)NP7dvOL_K5c=>mpxeHn+p#crKe5Jjr|PoS3Jm_oWuPvYceM=$AXgI?)B0!)bvao+~ zsGj{tyJN9^9rqW}rTxvMskVwUnWv>qkY#`ItbX*b!wYc(2Zw}iXWC24kz$2W(WTdJ z-c&2yKT2z0D6c7Kwz14_hgrrSo~ifdE;W6#-g4kSs$5{T^#rU=Hx&)hVzkOU4S`Mb zaIcP7=uX(b^u}47-iqLCGbqu+GmiVSmioGu6PS25i$x1(-P&^FD@Kl{!Fbo?sLovw z)i0})Aq|4Ju#CFfq4WAhk6`P7dt%Uh9e=n=a|dE&TQV6O9V^~7qjlp&-Abn&Ye99) z%3kBOzT)$`;@?_Bthup$w=DE-ogd9w_TUDpdk;EU&EwJ$lkFBo#2rofwiDi)d>!EAH{0d~`9skwo25V87TBBRVgT&aQ$ntvk>neTF zHP}w(+{AnnRP)g(%9tkjoJIG9m2Qp=>;WD;=Xh^mHnqzoc4w76_r>TA?%iHTkehw- z4R`Tf8ori&h&c+MAu5~F`sB3(X#URLH>z_#H1 z0&n&D`oKQbJkEQ_$>s?y_G#MFDoNLc6B@ zwA=8eQ%`uO{1B7sZ0kKdZAcD0Vc{t8;HV+^k|;#GdC|RM%Io~@7FWlHyv2wB&l^n1 z_viQJhGw%(&!YS;sRJFGLlgdPv+g-_*Po|B@5DQqTFaBs$-iK{ySSlU3$m@Al&M73 zEB55WyCSOxT)PF&=j#^5;U6xm*?Yy^j$=dS<4b$xhkLFi>j-ETyV=_q%1_8n_de0L z_3(&1w($89ZikU+ftI7Ow)}@X1RPlXfl%f%yD4nOyq+h0L1W3WphgP@eJtc;CdMkg zvfX%K5(B5DLfr2DVFDeO)%3A`L2zU)dvG7UNg_Z48YUTtfw6ruN1#zut=GGIx`5AS z=;FAuP=SC>F787wWEL3ONU<19zSAs?giWh5En~V=9ngtJb`=DmfHvttApkSeujfhx z4-j!XEcfjE-UG(7=(V~)!B~w;@jBB=79!eEcV z-9ffIJrPbwr4g?r`+|rWosKa+N{3=`=8@YwAiKY7TlQpv>czjPET?ef^J zHilt8sbmS)fp3v;O4Y7q!iX$$aK332-DR9^fpL6Gayhqs-{80Z8~hIV7yOocgWr1p zhTkD?@H=!X6av3#g57q*{sq5VZ6NS_IP_oeJNgZN#|Xc{ZwcUkn*(nvgt+g91Mt7# zw`uSj{7!v?-=!xg8I#O6#hjzmTy&hnByN!$pAH#Na(W*KQP}-nA$tWuce7)xVYKBD ztZn?^$c3%zoMkM{^NMF3jsvks=TU(*JIP z$3i4;d#yWr_w8Zz{W~AT4urZd$F2@!BZqbH4Gy(4@Qu@hm;y z^PdbPsEQ-WB&x$v7vX5CNZ|HpY3T>yB7<9ki53P(izk4r-hKwoz@+NeYqOJ2Y$VaiqHA>{AjJ< z3yl>T?uV#QKprs9kC+#@q-JBvOJFxl!AItQJP}Hr9%{zVSbuCLz&`4Y7R9?;8XYb2 zgt(vdpE>Y0gtUX?NB75~RP*FdR_XT5kB6MDlW9s>UZ-u=Ip5)dl0vhk^$v2GGn0VZ!b1R~aSy%L?*{v@jisZU<0w3ewr zoh!#9sZL_ybEz=c0xq?VdQ`htF`>Sd!N+T3gJYp6G1KH^&XeMzyx+>;BY3jAHQ)bT z21nCL$l#}-6FNac{f31@h*3oUUVc;qemXJ2l-XQ+M{lTkHYqm9lG*aHM}L;`f0n_G zi&MI857>B!l}zzmQU@$dIHFF{rf4Zff!%@}pBi#ay2dwT9tzV5Mx?5E%oaCaxDPq*5UPHfOvwJzcqH;WP4(+#Le5K~ znM)w@^bUqsE-Xu_1Ufi;I*`#l55=)m>K$+~JwkR^bTg^8?YmZAcIio{)8QD=dn%r|OG^lZO&idd@Mb-WHlz z2stxVvJKbFhE6Iqkzmwpqx@$@(}V`Hq6yS(-%YA{1~8lc&eI!|Os-FDg15$<_MNZC zYi|6>;=BQ6xLXd>HXg((P-;((=b#JEM^FUX1L=_*HdbrIB*0k4Ydshv8=Vig-Pao`-cpa#yvm;k%ga@|R^miF z7%UMTk;+QoIxXoNt}>(Zwc6D=XY{Aj|61Tv-wsbMVm4yJ8yX!HhNdPaS?$?IzMk09 zkZRj4JoMLZGtG1UQtq(MVfJf${vQt9=``=C-43Oie1Rs5w>45|FL2g-=Tla8k*=_( z^;^QTUGjnsR1u%pZ&~|&HurZ&-)=iqbFN+;K3;yF3cZcfgJa}KF&cCunR^6c?Uu+= zGiX3y*Fonq6deK#Y&a_znAGEo=)W5!(jljz$kAI$)+IGBcpbxqpEKdSlIhQiZEFl9DKS()83*ZaGsKozQ)XE zGdAIQUY~=(a->ABG><>)c`iohI9svLQ@@-B9Q0-2Ouv8JP`a|HR-d@ zb^g#{BQ~ot71ETMi(Ppr&DAztmDw#yC5#|zh(428A=6Pg zX=Q1&>!#j<%*l>xb!nlCw<(VM46Xxk;PYKx&H7}{T5;)X-zRz7W`$4P!eQ%YBF*(% zWIq&x4L1h7n%k}_fAH?4&ph5XcP^5-1kSFm!2NH!e^p+DBHeF(^1AE8>pBg3VYEHf zbT_~_c@g8DF@d9dJtQ9MYVYu{LH*8i7(4Saw!UL;NTjt{QROt{Ds7)9ytTzO%RQ~V z<3OZ2bK-#1Bll!&O$haNO4!&VKluJY<>UQnVwZKPs^8HM5ufVPEbGd*>&I&F`^DBL zgW9V z_q)9R`yjTgpTXEdyI-?x9aQ02m)_(JwXd>&k69RA4cz+fO0wNgCv{yHi3%TUR^R`> z&Vhd{L{c*+f9xKjeJNi6BmIBdGd-LgA=;9h>NyJAR`n{NL-kbMD`Rp z>Ul-aBEeE5A{kqlmq<`IDoTHI2ASLw^l`?8+x2ob>p@|6*383GX>%o4G$Fz%VD? z4i-X*6n#PxgX{{7<{guX5jk7LgYspLNpO>aa{zg26u>Q~l+Rm10P=A$7#Czj4jL(+ zM?##n^Wv$G_Apl&W~hiF50tE8))v&(`T1nK@g0`(h-dnZ4Fqarp+a{$`Pa~0kNr$f zxBa8SLI#Mu9VdNFLarumzBg2!2+<~=Sd5G4z~sEZhd};A7zv@j8SQN!wgi2GFTGP( zE+y4Am!pODXpx7xf!P9m!rFoJt+kr@L88l+$lP8qu6#(4%~3+GE)|X8F$u?gA3%u{ z($Oc3o0@B^kU!-(K;Fh;aTS0Nl|aNIl5!+=5GK1~ z{2~}c{*zm2GN6f*ucQFDJZMK-;;2A}=}T1Bdt7<%V;JK2=6gg?a2@^IFcOk`^Ngah z_%)m2vn^3ma*p%Dk5KdguN5#rfNNP$=WPa>+Xrc^1QF!Q*kA~;!?}a;S7G-vj<%Fl4o!WQHJ6~4Tty# z>(c4GW{A9h-f;$W#Etc+d62Fa!tD8UAo}Uh(%J^nw8aIo={Y{`F)lx}D@^m+ds5$G zS2{MM+cyt0p!IjuBPlY3$PYEy7092+4(`8!MjDUqie@l`(SWWk zOAsu0XUvTf&APVDRW?raq3B&GBdVO`YP=*?BzyB&yETKSd2bk5wk4zJ_L`s;-Vvs-bp|gkkvQ1Ewb|}XnPEI<-X}HOWj+vRBINxx0l;i^u61U_vbSU+0~q8 z73++{$IOu;k~=CCmEzT15;ZsXwxt|_$dX$qUYn=_Z;M?``OlHKv`Qg$rss$xguLv^ z_AX$H8uK7Zkj_y?CHrt*jt*~)1#TqtvJdkGI}U0s4))&v@*KE()BmXaPK3+G!R7yV z@%QcTU)PtHXU8YI+uQ%S_`C9tO!Ylq{oQ|DeovfokDdL;@weBLh3k_^#FOg(bo@Oe za5M0K?7uty+x{DfzkviCD8F^@-)rA{sonejU&i0Gr^Qq!W&huE;I1zK3;f28=x_XO zjt@ZKu&9Ux@Aq%t{!b|2E3Z+P_)zA#QD!)h|AX>7@YjD{0ayAzQ^2{oxlbXz|7it0 z4F~C85O_Q`N)jeQECymM1R)B76oG~qii#+};_Ziq>W_@*14eqy{1>W|r@|(ro?Qi)#X2j}3Rq;>xt*xNufntvRnV(l;0E2@80Zt^YtlY z6aG_vD=H3oYEsBCwqJ#I3d7;#DqS7Fx8b+wcunKqZOq2f`9jY11;iCkUIFDd_V*g= zL7u)$n}?Rgmv6h$iZ_E`xi(}VB_f;e#^YpnMjm|noSz^_JZ7Zfh>TlO$f#<+G9|Vi zxyXZ=o9?~@gSGFl@en(k1K6vN=yCA)Z}CJ9h~6<yR9pL4~rCsR=1 z_`#JJ#%++)TS=1Om<8R5$lKJIiD1SNOIuZ$(kZ8_Q>0a)R4w+Yl;uaHY;l!2J4#P% zod{LL)XiB{E^frlejzCX3B$Bx=AC_!zUO6AAxI-j{o-^~4CKhYr(B0oVg5~Eys-;S zS`daFr)ts!8d6zw%^=*K;FCKYTDQ%Z+OIf&)G6;ZA-sM4Vp>Gnc*D$FJN(j9PMUUAulUhe8d3YR09YS~2$D=1MRXY&r>Nie!nm~2S6=sry zpQbrOeDy@o!Y7W091<3{zK#d%W{PN~^+vE&^f^16xCPs(qI2z=PZfCs*f|@kexqX# zLX$thdD)IVmInzD>zKgIe?^N!NzvejvV}q3GuHnnvju)ve<^~YMtnJpOwIgjO?SEs z)c(M1pFvAR4bK66g<}TShHs;T@1jsYF{!;Hu=rGl7tQp6GnFkwyXyjn<>{PBS=9rheIh;#DfmB?sr*U3Sa>xXW3u)+~e`&Af=NmmY~cK`=n z^oeRNDrt9iJCbrY&-$G1kLNxNl3Nasb;~7%z6HDR$v-37-@v2YI7_0Wr}Gp7;M`~(B{IhBp54N)Y$n^Of|%(H$`k}fmAUd z#(n50oC8in+v=9A;pQb!=7++zD^~`XcU5z%T6aym%qd{wBhHREYVXm-=%$qJMzTf-nk9KDdg>kjY_d-E*w+H<$F-QE2RlNAIvS$D2wzwP zmh^ppp~|~C@XVVDEWWnAtX|{h-RNxq;5Gs?#pmfSx|)w?Z(ApQ5*N+41+(_ z$1#!DCS$mq^i3X@Qn1HDnMv}s^Q zYY!_DHM_%;m>8}IoJ-a3A?QzazWyZoE3!}gr;;vGAz*`&eHM0 zS-ySM;L}ziF4nF-o!Xp@?7iu_G`Mox_KUKL7R~Y99QDWNj4CJfQdRe6CKmD5xfOP^ z>C8Xn0{MUN+^Ibu74wN_dwr~2WuPVRxjVBTK#r3*| z|B=ED9~L0fTKZD8twf@uob_Tsz9Uqw#cD=l??erFazpX|Hx@WheuqI28PpIU zQ`}3#1YC$fi@?PH0m8xWRaabT1?FB|UMlK+UZ8yDtf`N@4E^=IL;3ubq2Suqpl$2o z*)DR9;98bdb4QX=;5!?^jjKt%gmtI4HamvjK_+Lde=5%dUKllQHvMYBo^%N`F6I=Jd@Hub8@)b{v2*0|T}rmR=6 z7oYZdzj;TyR9$7IhaZSw`?v(KUguea9m=TQTgF#i7YT+Psl@r1=dj+C;e{RRe7iTP zsk*5;2|Y2!{_v)o^|r1r^we7QkHJ*cZBu&anRDC+y-n6%ZSJAxUf=#`UsV0-QVjj! zkL{}oV!P|54!sCdeNe-xz8m}#@-sHhSA~M@_vmcMW$L#FMfU37ljR{-S=fH^Vr=&_ z!6Da0s*f^i)%OdAAvaZVep04ve^$6cZkxV6in~<**}w?-)wL*m5&ZVg7M{uNplH`g zQnl|q*Vo@gA4RUE*&dHRblop33fr!80!Y0lz5_j3D9W{z+~`*-UX-- z2I7`@Jl6}9c^62;;6c(7D6$wxUgAzc6vWFHM8n`t_dbaAa}ZOB8}qOo1W>?pz|6^n zsO$)eHDJk9Li8H2at)Z6&jxKXIBMG_@+ug42)`8Qxu-&|FPPrff=j!xw1%-t1I*s% z(k!cmE=_@X7($Xk&_njHJrIr00(i3qYF`3PsR`EQK)9X?aa#)E_8?SN3w{3uOHYpw zojvruTxjXVUkJREJuHkrtTaBvO$Xh6DZ(DE2mSCKznv>QnL(N}0fZMH2`h=D_=T%* z5&r%QB$J5HA1!LlMbtwEJ-j8VG{8oAGopql!YCJ&L7319#u5V z;#CVO(hFV22>}Rj^OmTv_s|41n^I78O@xK6I(nmAr1KqaM@tNEAZS(XQ$PgaJG9s} zu^5*o@OVp9FTV{QMNExeIDmyO@`uAw@LF49CO7{=W4xS_saX%g;(0%;M6`5Wm|eS_&5D>4 zNtYvtn*EaB7CcIUZf}dxMuBzj{xdQMWyKvEk{hU#iwChK5+Hq1mW%6?`wW)rzmWS; zCQp(+kM=H?+$V=&)P`=whOLd514hhMX2av-!4eh3WRM4t;UWsTf&zKMZFy2mLE?~n z$;C zSCiOO>*Q8z^;Ez5T;;uAy@Foj(pGeKU*$YnO0gM4-;y5Qa$ods3tUmQ#f`4jNTK!0zU9MM%Wvz}?4j1H{Z>ZGHhS?k zYe<`=bz4ksTYh-k>0lcTLOT^@yU%f3d|7K~baPHrt7TMsibFe~(NI!$ycF*UGwUD^ z>>$nU_%z!7cCaG|p_7ENlSsVN@Sx*`V&jEDqf%LWdU>ZK+`bVzy3@(JGg+a_(Yot{ zYcLqamcIpK_O%U04Y+;kGu}IptsL||9b#N!bC(V|#_8Ui0^g2VYurK6)}Yo)ZXqRK zp%q_KaK1VK4{YFc6OeY7s&(7RprftzpkYE?Uc07TbkkIPaajNpX7qY^$C9u0zPED& z&|;d0?oEmwTY^+Z-<~6!UdL1j%UbXFb2nx7J{qNTl#D(`$6luCE%CA8vylw1F`;J@Mqb~9J`A1a912c&7)&fU7B6K?L_C`S zl4I1Ci8bGjZK25sNXPy-;pQpMNkzb3#$@dMg@l4;ydFQEMH_n9VgssPIG$(3nxtV*E#cITU+ zsjLLb?={#AlX4YMe(&GUu=`ctz=dY#m}Ys`tNAl$pBc^yo#Eeg;E2ERl+47DCi9f- z{2)r!DcCtjxjLsJT&G4huaGc@Vm42}Kd)yFMzt2 zy3$*t&Imr8Ep2|NNpPBe=eNw2z62v{%~)T~PG8OuZpap1DKuOuT5rqCTv3i*sSs`l zn(t!5)w;}%hBvEYA68q0JKH)}=T}#|9(}sW)}C`L_hZfV`K`@#tc-RpjjXSoKCDe; zej68FXE9q_P@WCTTu*48H zX5)wOcMX>BcTTJKo!?sl3w&Y~kiWkQZ-QCZfbx6b&G&7;?-1t&^ry|S&UIW7JgD)O z!c#vzK>fBu{iWy+kDg8tj2ikH|L|}pN{2JumB63^k;f0`)PlN z%~x;qe)5C=hb?g9K;{3j1wPLHb36x=ARBWe0F&e+Ch14afs3F0VwgSbm)&ZY-4_@P zfC4^+!Tb%QBj>LL-U^S$Xi>XrcDVu+Z~>FQc{iYdi?LzU;b2H%W5{4*RL5V-|9~ic zhp2pqRN&l{*FehDZo*8_Le`f(H0_B*QmcU0f0+YcAF zAEr>;exNvmP`!Y#TMX5M9o3f&)eQ$Vpc*x(8r56vE;J4`;v?!iQ&cZC)Yxw*jx{KW z)hPDyD0TrTUp}JPn4)Bupk$e#SmNAUu%nn$pqRP*-?G5FO^}!9kTr0S2eFaW#E`hv zkjCF4@lqg7VLzg->Tb4E2%-}nmza2Vjn1fbQ5Bcb4v z@lVCO_Mt#Y1$-ZD#dkw7h}bQ~A`^#4siZ#lA0+z!mlE{D%~6GtL;uJJBi!VGz!) zDW!4Stt5ZOD^~Fn_P)PHpW9T+l_DcgdHfb_NrWoK;#}JPv0HH9z~V3%r|1 z|M~${?B3&ezS3kU>&+jp^YzY;s4xFrejik+nuy%~I$y5WRqgWizT939M~z$ew|-1x zL}E{~jHkRHLW*Og6E}}QFA_H;2k#T2`~55=#PHsdCdA?yrzJEJ>7ea5bfm0JHL%UK zBEYvwpd}zQ18`tn>x^mq7lu8x_&Q#HD{p`9{&)!pWx+6zdee-ErDB3{=z%x8uo?g4 z)M1NMtx=B&uWZg>@oj>xV)zboETCL_@zhYB8&l0Vp$%U=?AJe9`k;cx-9QMwu&D`@ z-f~D-;@^PMTM|Ad)_}=LKxTo-(T_&0!QOqBr@_{7n1{j2yKaubBJ#)`&0Irq6ZNV> ztP!GJo m1rby_3^_T0VI+>KJzyIC>*U<|^w#jq?EO4`cEo6r`K>3X= z0s<^>St4<;t0V;<7k0Ng0lzvVY-;TOm@V1efy$N$>`$1P8&8~?`wkNT(lR%Gk?%YgS{N-A*- z$^p^0CSCqGrxyDxCds5w5(@XUT=^jPT$MWD3Belzm3f`*>#_LOyS66yHi!R-zBPeE z(zQUSaO0wNyHoS`Fu(#Y){N`)T?>9Ia(~*VD*E(*q(+Q@F10TP#9?&ySP8ig6^q`d`^S*v2M;XbDD^Hu|fs4aXc%85Cs&+1M zjJE@f2jv*yc87A$f67y9Ogfd3pz0*i-QU7FbQxrRJr<8w{r z*Ei3#Sfpt2F*Ma1&9!yjglg*;I1Om)8e84r>zPH;cI#Ops}a;^A+y*u1{f^(i2rj< z7YH)i#ufj2P3KvA0!Ds~26-ttPZ zVo9(yOEaOP5!E2h%5KPuLq=!Iu8H zVjNs(SxEm5rgt28t>QLUn^B+3BH;dC%Wo%7hi@OY^PBJ2=*fRCV+%f9WrMIv#84H~ zI0)u)OvM-^@XDq_IcZvxa(C`DC?uvZ5N&@nKpt5~Pgs zL8cl>S-Ou3}K zV7UiLhKqj+fBuJZkej!k${#aQfpl3{!K;oz#nsBmZkeX8W#EgqtF>7LG4aHg`u@`j z8>i&)7m;+b1&kB1%6-&x*ZhrTzY}-^o?9+L(3>PvR;MZ4BA#AKLieUZx+SqOKb2d`Zp`1;dIk~3inBzKEK5_f9 zc9O#4c+vU$Mdi)Fr1yi=#g|{gCl5+BeNHPjZZ;zsyk}-V`~qi-3@m>82*dV6vdaDg zg{l4KY4CqGk&VDGDhfB#3V6Y?i69EAjOV=wq@`Vy*R&VM?0QA{6SjzYMl0c)qGrM{ zegr{I4a_1?3gcE<>U9y*B9n167il2E0V42N^?_1KLvy@h$Uw6Cbd>%&(|FsRG%V() zwT)7~{_-6cAH=CrCf#D@c$m9*Pua6PbEC-*Gutz=$9su4;iwo%Ru@4z8l^%YdPqa_*Ns< zF$LLXv^N*mwZdc1+5){*-x;mJoPZ@wakbT?mtmr>U)@3T^Y}c+Y+AJ;u2ZSLpu;w+ zV%uKPj}GFFt;i(h9v+*k8RE{P##x^qhBn8$#s~Q@r=Df%iW|fW#=R5c50qiK5jWWsQ0h2{%js%IyYD*ldS}=u+N^Fs)8B8r8ULl^E{eoA^_t!}H}1n>Hod{&m8Hk@ z%b4q9);BrHljnucNIaD_J7+s#3=4nWse`ON0+`u({#xJ~jc>2tWdb9k%@5uXUP*f+QKa;IOJ?QisC-;`C3%pP~6vWzS2;3)$o8p zaJl_e{m)mBR8BR9AW{egn7bWWs{M1~XM=LWrW3YwM0O0)8bl=C9NeaM!y5AsUphaq ze@*%uxl`9g6$kNRrSm4M3t{&)5zRGKQE}98a=1v=y3Y2vIn<6{^$@wgB8h(WF2DT! zEXT|XnreLsimO-i7|aX>y&hUap3kvgIaV;#3p4czvpVvRZFjQFGIJF0e{19C>L=ad zs*lAWBT=u9x2RwAsZUC(PtF%fZLbszc`bZeDe{K}F7`+Af|`5hxOEp%K>9`7fgATx zP(wjdgKP!&8BD75id6-PO{t>f5swEhSzU!ErpDZzKq9Rx$%y=k=g)SI)~8a#Br)BP z_K(llO~$(Q8``0yOh(*gI8sf<%soXC;w4eMrA&kNk}?(cLRBQS)t9`rkml$0LIjHC zPrqh z1c~X4^FT1s^`sQC1!{846*|UpjXY|)6q&46iSQa~%18(C3z!Hyc&oHzhSGbiF~?pM zbdU27aTprLNm@f&e=aM zJ3uPA1&H9m<1vboqZQA_gya&(ltMGQCM&uGF(!mamCwtEXFG=HFr|L34omn>NP4g? z8}%nReqB|1DJM0uULf_yVZ;Q1=gVB13iG6@kjgIsvCIrMO%D}R@MvQ`V{?1yF}Ff% zpV;YIx0%Bz_VuL2jx;W&&?RYyDRT$BT&Uw(Xpj(GYxOV+Xw)OrV|E=K?uv?zMtqbH z9nK+R(@A49ctdTL5|l{HNZM0U+FF4YYRs5Q-lR&SWwLDj%)ZyclPj{En3YB=YTOx0 zd*w>J+;V(U!-uQD7ngc?L)RLva$5TE%ykzbS=A>}sY`d|I4P<43}qP_dD+wHq-4=^ zjS+kwJT=OJ7%7b&S226w~b92tW6q% zXN%VcF2Ef>3lzAO#rsxk2pnf`Lc~A2s#=2;UxdhzYH`>LDLRa6KKj0T+8v~N-bsx) zB~CWgE~MpeI2Y!*MD3t8DVZcV~H~EO)ds zzM`T1e4uaLO&gHeqd(z&GMf15FcB;C^@X-*f~DvxW{Jtf#4m&yGyIwFLJLac0#@q+ zAf=fb0}9&-c{{(EEJra1ZRxbAZk@SC$mxO}c#*YH8U;hMgjDmVWz(glZaIw%0k=$f z;v!$=B7clf?We)fdd)xmnoZjs0qZhUzKYaqwXITmb6j(N?gin}YyE`<5uvhCnL}uq zbLbO#ewbZ@YjfMtO1qkUYF3pvp_gU1;G=k^IgIP!y^5!iLgXtX!7)A4pD_}`tOlVE+r9bPClXi@?pR%`v0DZ7%AQsvsWV?C_LC6o;#v~wd3 z9(~Oe$&{<{aOU+0BXtpOWzh`%g+lFxUAe2^38R7OoAL>~!K$@Tfej;h#s06~u_md> zHe$=nYT8Etv^;BVtIWxm>Cwyy%RKXPrJ%ytRe0M?+5DN&cBxQLgRp9arD3JVY?ZGN zvxrIC{9>J@37gmV#@$(<`R+!R{XnhdrnE!vvE#JAf2|j%1nWeJvFI7^>}`bEKzZM$praSMZ zAd1M~+zzIvO+bhZD#5b1zX*TB!4%IfUg)sS-oc#H?mV(BvERDk#PT(lZPtXPiT2^k z^*014Ru-X$>Zw~Aw{5ieg1hs!_IqY=w_CYu2Fzqft@V2@JljbN?LV~aIJFl|ypBwb zXDx;beNv5+RTM&r?Jq>J#97)E-SFwuI$Z|JubIG7x15U z%{v8%pc|3aI+{&~YW*XhSf$I(4jl#zj=qu4|*h$8J3q__!K`WhDOQOoHdQBjgP7%VgPqDyq<;q{(6}%RaWz zetd6A)z5Tu-+o+ZSrh-wj*O+B$hvNfKH;OyJf>}W=I&C=L}ul>ap#-Ug^9L}bIOU6 z0(|2rx{aSId$tp1I{SwQ9R|5`2FJS#zn&HbP*zf1hVIZ;mZV`yZb5*i;eS#P3p}>&SW?GMMw)T7oE-V-F`~wL>lW9 zRURTVY<=Z@yC?mY{+;n{s?{$Mg@OGUs#}e7Uq=pUT{`C@ws(saTHk)IpZ@C5<*qj5 zIavJTcm-xVLq@fK&1TUPziu+rozrIuY zs_*x5OEJtLq{}(L#5SrXWm0ILz7H4iAr)$CHKB?lBY_i|(v~Q!U2pH)cMf>-S)(;b2Lf?Lmd>_jU*K&z7 za{YW9LwlY3;|$8}@q^ zXHDQVF+0mgxMSyaVNWoX*Yx|b@Zm;RcI@3T7ODpX-(ymDQ^IDm;>lwA<-GLUclg*R zDadFdzPC7Qv->$O_*@9Oyd}dYGa}q}`%6m>^0I_Tc(#w;AHI`}>cT8%k!bceU$#U2LIV01St3LN_hSa8kz zsbwN;Nw;0ma1#}i+0C}W`@p*E;=lPDA!G_zcNyNa0qbrVuU5KHC=&5|$f6 z1qsi8&ktdwOx1{Dq|I^zX26n?ZLV)(SLVQ|$F;*ft0t+;^V+~-f=AdqSebX(mTQ-H z)y3VCPu^<>E9pD`ktP4uCobq~ZJ7IB%3)5D3S8j$ee0yac?9FW;17_?UkkjIF5Ri^ zH(iG7=xh2+&lPX_Ebrr1`fS(Zd{vRa4fiSJUKa8E=n}Az8{8Em?W`%7hsOmfW8jO4d_av&yf}=4MsJ zv9#yZoCd1~tzdfsRQ7I=zhDyDtq{DL94pXW2kbG>lU*st+I*OU$C zuLT}hqh~=SMzCy|@+NiJI@6DU1e~AdWdNAkw+4>&^9wyr1iMY?Z@(h*8MzM8HXGqi z3KOn-2xz?{!(Mh;T*v+%N(lDe%ly1SdD{5P*!ODwoeA~*+2Z$)2vFP2Ky=on&ERJ$ zdRw8y&P!Y2l!=_?kwrOx1zyr{N5#!C$)Fs=x34!5D{OoPfZ+C;y9sLyt(Hlu{&;)I z+KItdsfJ#^t-e^aX@|P=24lD_d9U9IC%g;-1#j5`A#2Gp=RUD1T`8IDT+Z#G&~60 zJU*BgffC&_2zW#jhk?7FQr#C#ii#>BQti3GbSv6__lPD{VnTcY4V|~-yY?j9lnSsA zi|dHuF(~P0tPR~!!oRxn*%6^*^eDBk(X2cod~8|qD6*uyj(gQXb)N?=YF4^cGQSs@{OzCO#AlOY3p&X~7T#;Lt^wxb*dl%+H*IR=Ebp7!$;}LQ~ z#CX~$(w~VVlLIIcV=lgZ8s(rD}rlHM&ptn-E*D7%ngdmlfr zxCFmi+hU5#TyVF!J$|NoK7W<9iT7QEZ~oiIB4Ds{$QIuzjt-gmrgPi(QtB7II$WJQ z;NK5t#&Nn7(1zxKHDOgLZHmE{d7n{#AWQf~)|l|{Y;{A5dP5p(%&?Kl`t9FKMxU`; zh-w`Vg)!7or7}kl54n!&lY)X|%ZFC%qV*!GgjBJ11Z2xdPsy zvgM!l-s2=MPwt0mtSG82xoD`Si+D*v3kfbs=`<%Y@*VnaZ;#ZOH${j?hZ1pJOSG)4 z*#5NWO}e=?H>|OKU^FoGQTdW9=yVht*=AW)z3CYZwcNi zbw7t;FK?OXZGPM$OrOR^lR zCmFN=EO;5Cn!QM-zP-SoffGzOJY-%Td_DXjOi(V=$@uBg^0Nd#;C-HzPLY zl#lVlvZH-d{UZ3xHs5Y#P9&+Zy7CO}l*iS<{{v-9H*^ckzj*!=y}Du?0K zux9+>zUTl}!b^6vMjEbCPo_Wf>d)9(qB zuJbQ~Mh63ft;K;VSGjoWt0L8W-DjE;w*#%J#5@_w{a2ROB+L`e6?^G@S$v zP4j_6Q_ZjU3tvTU>j7fO9Uz9_K$gw+^b@!<-3RVW0b%F{5QfeHVQ2>shGxG$-F_8) zx~hgh{@Vga$pJwr5D0P*$SDwS(Gj)&alz605Sa}T*#p_RO+~pSX=%D){Nh{}eIl5_ zxXk}@!I9Eka!`XzYZ(J*xi>|)gK109@t6S@ypNMzytXueeKS~eDF?4)1VJqb0}_1X z4TGq`d!cy-={cLIVVf|99`?U&cptX&$}_qxQBW?fo&@TBpOBseSj6nPiWxqg=}$^A zu7^IPqAigS%G%cmWfQ^dL`b5^n&MF8O8dOK3VIK8F;F zgk6MA3v}T`eeBnLqH4W09D$+_l3ZwgoR)d)IU@*QDp416^0MwSEXfMSEsFgu^4qPK zdFXUceVk~LWP_W9x#mn|Bj6ko5ll(k%V4}-bGk`$7MR)3Ei*1#3Xsq?Cq+7*UT+nP z7>WOO8aoh$_f;^8V>9K~=u?x!fMZE&-mFO8OC-LT6|~#FSBL?O=0Fr4jHdzr3xk6n zRuJM%iARC_x+krBOGpmJGuelbOhT)Lh{p_~t%~Hg-r>!QM4a1t$Jb1D^6z# zQwredph5&wiD2%g3GIqX?Mht&?fFZ@IWxg5d6Fv221apms_wL$JlZ^T@`c@MN&p4# zD-EQEOvqM8VXcJ6e(Jbk!_$bzW=oAWI-&=jk%gLxhW&LW`L5MmQfN)fcQp zDfWw;tkVn3h{N`6Zzb)D_I?PPTkB9;TW0_tglv=#8{QK^GX%PD`g<$Oee1VH=x;Ac z%s2yS^$=-Wasi6`H6jRI#-^04TWWttvpGGlq~Iu>H$ky=9X+%C_D2bNkdTds!k*6{I_Wu*IjjVh!{B$B z<#)VoB9qQ@FB#gKYg`m*zOh#(Y>p4HfgK*g01LcIcw0~)5Rn-~zRh4R- z16CR9wgd{5D8@JlT@_0JRhpA*z8m zM|V>Zw?2o_1Lj056;sY&DQv2=xRwz{BSw-(YXv(hjk3->-}qD{?=Q28$WWv~Wea0q zsKg2um9ogaWP;rtmkV!;c4YC06onLx_~K>&&o;cy+s1Y)aZNo4AI*uNV~A`k(T=r@ zY8pYv+2;IW9htWh8FW&ypVb(~@EHnEms%*QG(SlrrLTGn#$pZbD#|Tnl?3xTbk3ZV z>05}tKltqP3Z_I~-MZ(;$pFH61@fi;62{~Ysp#yb-xWTw(_m&mG3ShB@Xt*d3S9<{S6LO0uRU>ao3X<~+TFjuCOw)R@OGSOKG?5k~*HjyA%-S(vkFqf2} zPbBWxWT870jUcoXwN^0>DHM^_$ z{T)^WXsZgh1lkIX7wq*n4$4NHG!f4<%gUEkXiIbVweu=KjOK(X(xK&XOCV83o3urN%n42emd9o2j}M1wfe8Q{napR?1LRx!rTFe~Yh#!AO9IPui~ zf6@ZyYX2V-;SYB=*VmWl=Rb~)wzs#>w>CDn-v0X>_`%ZZf0+Xx6Sx`?*x7iyx5jt4 z%>QG7|8$PO;!*tnz=i)?5nMLo1(N+NQu4@O^dyk~B;@>J>Gq=k4+^*apDBW`_H=Z2 zcf&+@XJPKYis0%GUN8s_6X8Zr4)S;YupGGLpAg}jD8B1>p5IAtu2R{5rL$aSG5ySW zeUblv8UiO=875pBC0dvuo}d0#^P6;HnS5*&)&*y3IcI1;rRzR=-T8xZXp4Gam!@z3 zzb6O&636%){rWka{wav&(VzO!m+HZj;@*wy?!OY@)&8ITzxcble)`WL@KZI66J_*c z1+*hMv;!H`eJSv+1b9abWm6PoT@dMC9DI=%X^{tUo(lnn!keUptz+t?Lms3epa0bb z|L@F!o0*wO=}ky#4oSZ6lT_=HP;M1hXn^Iw#pSC1DS}7-2Ssp*n2?YVAD7k|xz4|6 z_y`mHFav0S9@Iw%>Y)L4QUTj2fK6n;dQxCL30y5PTooZ)IU%qFAFc=&E*}Rj2OBOE z3oaD{4u-;`z(5!W4@3gOAh-~_Hw=Y)BO(5K5zffS$WAT)|2+{t`Y#dA|1S|f2@~P7 zw&buDc$S7b<|SJ!4<{!=3il%qRfAuqTG$FvVQTDUw;$pnS-h~ zoi#jhiGV?Pu287m2NTDszSuIODUtgwpZ+l6-+#WP8XZIPx$-Yo1bPgAY3yQux+mg_ zb^aZ6q$4`TR~PH7$l$su`lH5bCpfjGhzx-9QrGP=qolQ=)InI+3sGeFL=6C+?MVWG zjF;n9gR%^yA$*5~-$LLgj&*_n-iu?vj&}NNhyoU@3SOfDq!Cjf{0&p$LT0e6q-L(3 z^>3^_cp&iCA6WbY>uw5S`ewVI>nVfCjLz=rP)`hO-LfWP;9H_f*FRo|Y4`hDy$52+ zwlpTD9QE}(WZ6E9LIg#-c3%i0z=@gMA;hl=w0&ub<%BR@n}~_1GhhKH(YZ|mP?V10 z5&F-db5lZiz_?;71&$rX^hH+Vkra$q6`SL(DFw7io+V&H$<}RVo``ZGi`3f$x@+js0R%35N z@}&IM!T!+m4&ctwicoze%i|X{$>Pd*ddbC*NDVCF|C@c#Sqh(DJ_f#M>Z8P~flB?Oow{a@MIOPm; z80Bu*=8);}tbYv=T|RCf8uU;cCX3V0128lbSp_Wd(vBtdvtw!wmA(6lx+fmkb86+NmeBj4Q)m=^hhdufKj zs59L?FLY)eYXbGyf{N5p+rF~<^3+TLx_;eByc)-_uNU)-eD&>1g{s>4tFQ)WyBW$6 zCBztNty3(tBsz6`MnOpuw&!=3PQxY>4lV(#41#*FFl;H{LQf_kOC3%$9!zVDVA(qhA?$`f zn;%Zd2d(1pw^X!o2BmK*BCi~Z_2PNcCm$*z*^4uKeeRdVEMLi((ei9fn!B6ov zAcVnr{g@m$8?+l=tm-)fDZk^3@VqIbswo!Z7@f_`9M`85jI)l~iDJxRka|h|=5I}l zb#-nQsk~0X{I*Hz9dVe*s(+b&O$t_$oE-l#_Re@%&P2fU#XAj>C2}Qe;G@bbnmBJHx*BxQ>sODUe=r0=8GXV&l zVPGuvp<-2r_Z$~mM$zk6%PM{+Qn2XZ;xb2%u#FioUF7#zfU2?eeoj$d2-8?xN8CG% ztD*9C__lzsPdW!0lb>_)b#F}F(vvx`f?1u0?}+b*WtD3azK-wH3*L{Y#?&SiDIPHC z-H&Qd)}}O#AFz4dkNrQU1zr#U0GIm#MaUX!$D;h`jCWS1Ld0voDxI^@bc3fSZ}AEZ z&K-_*#EQ|f{E}Vm-#TV!%Y^iI5Ep;xirEaSd`drlkefi`LAoMeP>j!`5hUnp^_tg*V z;fA*C_wJ7$)}1RhpTB~ZKfZ@6VXD7GlRxR53;CVDAVC1NhYPKC0N1AghC64b<^blU zfUHJHCS8JnbosGj0z?s&k3W0VhH=$h21Pm6$M>&VJxypHK;kGqeYzan=D z(fgaR(fwk6gb^f7#{|p9x-Y_CEr;D(Tgf}dCKbo%nxH&+gqB^xldk+D!if^7`4ebI z;*}_2Iy!-=C4uEWzRWmI^B9Bm-&)|T&=pj$Tv&?Vzlm`Ezb$YH9Td!wFyRkLiYx!A z1^%`LjLRSX>KmS7T>Jw7Jq#HKz#qkD62seZkra*)e*#8Qu3A9<$%qPu3_?&0lA#)40V#j;w=^ ztG|tEr-pcZv!_psW(f6e3|?1_um6VEsD_ekEGzmevU3F+JPn@&L6N^qwU9$8g`gC) zSfNv9rU1VBE@mb{r%@M5XtwV)IAooJQnIoJv;6n7zQBJ^r~m#|@;i_D_tcQ@yLsQY z`@Sb1e&=q=5=Y7ol*lGA%Z?ApCeF(q?9Glj%pL&d2vFxlO6Lf@&ZgA1#*d&PiLfT~ zq@n=3f=Y7;Ph6;&as%CS>6omUJV{wcb7|9ZXFedm2~q|R`WCk0^Tv@Yn1%29dN!$X@Oa5-se)QPhhLSQNrL- z!q8RAaCtX>=tF?ls#RpGWxOY0qAp=_gyq)=x9C#mZvupw#Dw4FEpxzxc_#z~#Fj;? z1SPEmWhWLDVE1%S=c+V-ZRTpIp@C;n2Y`3m^ckbv`=F8-DP{*I0L9uxin82{+O@W%t*=_=ki zlitsWPa90mzgqEb((wL7ILCquMIMU0SF5y`3e^RwTvDoVEULX_s!2ktHG8Vx?^Lri zRe2%S{A8>NSS^AQSNok*#YNPRjn%x7sqrhS#(iC@W>Tx-U&~=t^SQA0&q%G!NzGGf z4ewEH5LBiX$Er>-r%t}74lbhZ<6#{Fxb72ueSlfLjDNjUPCcJYz58H2`boVbQymU! zJvvfDlvM+AXoGl917xRxptQjbv5`-_G46FEoK>T6PNQH?BLlcr1GQRTzD_Zs(dMx6 z)W0dos_CJyiEpQg7p|Fqv?*1-fdI9M?R7IxPBT|ebJ|Yx8@Lt@suoM823P5p6#o{s zoEDaz7DcNT1lwj-g=UxwXEteN^ly#JX=UhXrQd0dhHJ~0X}zLvqcv%x_HT=lZ?h~vO_b{Zje)iZU9DRinZcg;(8)faV*4R&F{bz@L< zyEp-GR8iJOtk5Ari#k@Q`Y6O!&PdZCYpOk^)9~m|mN-#q8xVBDbu0O7@D4}sdUnX0 zuYgk39wz-BlVU4#kJwVIbVq3v8vQ;Rv@|vu6z2B6RvoJb+4xX7D|zES$@WzGBEV{O zAM;tNhdW?NHF@na!y&-yMeuUv{rM$U=$HK^ zBLma20~#!2F^cGdEE(%WqhxktAL+v+$I&~5ocO{r=fCwhYL1s?gAabd?CiLb-{_`I z7n^L+y#7Ru*Tix=A^bYlM!DNoJJyb!+g=9N0gKzwxYycKqifrwbm_!}VhOATo&sxu zueZN=O_^IwJt&sKMEFkn6o9oHDl}aVYk?bd0W+t^Bc{L`qn%EBvVpW@lSxS)%b7(Y@I-CupIBy!Nv&5q{V@ zClp;N@;qnwY7PLIzY}Z_wEgg>{!M0gWSglD$FM0n5GO27TupwD_s z=KAQw+W5wL*Yo-`>-wzl#=!H+qCIYI=7x1NOoV4PEIeb}Kq|i8puI zFxEJHcixEX)fwzz`|k0@tZ#1Y(Z>VIC?{MG!^;5sy#9fa$6mhz4$g^u7NN0f=E zeRi>stL0(m5Rm%jf%;~z<^^^*V{AGp>`csobqvU46B}hZB_e$MgFE1>-=U#0ShDkw zbSKVXW#8KU(DmZLJLZUp^AJ<#(BSFF5L$T{5Q81W7W+A4IF9^B0^5&dzheW3_pGEU%ql{*wTQ8F6|eG=|u#J`S{AO0=HK zt8M^V7pw)|srtLK8n2CkMq|_l$Lo3sYF+hp?esOwh^u0v zR(FHntK3vL-e^I=Roh^FBjjMn-~P8LJ8}RPvLz<6HSAlezV+Qk^0~bA#`@!3jpSN| z%km?Xr}sL>iA%ag;#}gjoHI02AQ| z5Wu!507MDcrvSip16ihlCsqH5a0(D70CWWfUaLT3@f>gn8ikNIK+H4<8T)SwoO3S(om9vju+q~vj7hBYrAdktbtMB^H6JHLEX|c(yu_^!6RSlFy^VYQLOgk#d%hk2o6mJ;PuwX(Tb; zH{25SWR*eggFWYZ3mh7WmH1k1+!1rm)xT$wn8uilNZU<#q!o zj?6ucDh^_qszWbkkt9b?WKPaP--{edBu!`%(1S&2?7K5ffa$YC*KgoHQ_!!kJdQws z_pxOFU(d!r9$(ioM-89EBAiY}+t{RFh+Gd2dsxfRsbCn!!eIsQ6kN$TNESS;Jme*N z7E|=0I{}mRemPG;xO3hNgY!pr9|qTHF-@${rSb0=!F@lj7`|=4J#@hh$2@f56=Sn# zo_PRwH1{;+brctLoFflSYJ}1ZO=iIFeG~^h0w{`|tz#aQy>&YYm924E996Au7>N3= z3UUKx)-*^4Yn2rP!3??CumX5tH{KGlO?A!^iSM%;qKOqp_A)Sr)em5SLAqQ({wU0Fm+vk59zbjpnj3RMRZ@@!+$|{%$}TM}t6eQEtHMUH zEteV>V6JFb_1v#$rp_s=Y@;7RP3(AjV6N@~3$oM<5PPxIs?nE~Cyl+?E3capC#k5P zQ`f6#fQj&M`$h+ww)6CL_fw^etpJ+P=G_>D3(~_hFSgbnizSu9{}SOxg>4RPHD2tU z-iKwFT~D{CKf3@(EY;sYIQo{b47j9pFYHAOM<2T26NjXsG>aMm?mPXO0Rpp(nn4nm zC<_^iFKD&NRFSR+!?a&X^G9BT;+;pCs>Yqi*!}>x#yQ7?xF&ekytyX%Pusbsgdd-{ zro~W&xo4zEe7I-j`igPq6yKg-&#B6=-ps$(vA9bEfJwg57G{hTrUqn5mfe6Pu7;xXLHUEYf0&&K`DlkcUxy`LTu z@two`vb#e8Xpn#ebCCw%_ERE>4Ljl1Vub|cP+>gpN>F0I3ReuG#@h*yVhd1XHJ8lO zSx1%;*qwnrktaY+gd!(znvj@HOULxwBd>kZm-4q|6aE3i{7oX+bUr=r4zx$fF(EMH z*u3cNww#LncH(zH0ixI|FnWl1QtoIsgG@A)dIIc`#`+>gWw)Mp+1SbWvKCA%`SKe3 zE_irlwqu(x5cFVLB&@CF` zkLJ1r+M%mL(VRBCbA}-PK}hg@Mhyay?DRw!iwExnnP7~Gq0;cy5E@2>kem`?xDmdo zj4C%5V;RGW9Deha&WTN-d}Si5n2YhMJVFaT%`8Zoo1L09N`b~~Zt{+sr`E|vBhYNI zQCg;Ih11T1R?m6zPzF+2VIKi+XN(}I-P;)*@8y!eb@FPYTjMGL8Z5X@PjDoM;{V1u zFC&AI`RnMoeI+c@lffdPH8!(zR6YCKu#J|JXyQD5J-$&ZuPlSlunx!>f&HlTcLDnyc|1B#YVe zQwJ?sB zU+qwZK7gyzmbf>06aP#&^2TON30hsxk4&D3F|}Ov;|jNhs$Bk>`#x83aS!&KzOnz~ zgOArHH!AXE2EfPt{$}B?iGwFiA``R#eV83h zv|oQsHFPkZg*{$6Ps%Kaq%b`*n_@Fr5Uaj6_O_1Ky*HnX^JA!@#cboZuE;~~P^*bu zi{BpW*N0dAKZIOz-+7+qX9-pisGR$V%}x~5i}Wo`{eqkKhF78x7e?tSIj^X81rj}tkHEgi!f{8wGV(8R1c3jUr_*n6=zDD20`y+X* zQtab}SsZADml|jNrYcl80e$mrkU~O2V4rz1-V$^qOv`;Yfw^FSpV@Mx+w)@)&<(Kfbms~-BL@G{gcgT#O`Cgj^7ZV~ZmOV!GA+h>Zc{S|BEt*14 znT=5TeRYPvP!)Ae^(yt4!dpDSGLrYqgtlcwfzjmcH7&C+@ZQv}jzM!)Mr+sWh&$w@ z82kEt`Rg`e#xY^$_BW%jQLVpxdyR$tj3t^&BnF2ymbv0Uup-`!jK{8mzb^B{j9(~H zLO76rJ&hky$1nDqRUDNqi>C6s88{zVdmj z^+mAZs<;0d_*DtlU(2ORTY^zFgI%qkCyGJJP*5s80%B}7kl88-43q+mL2`4Yx_(3S z^-Hm6+lx*HurrwK>zKajhz)@_D?NM6x!=~L_26NvRTW*+#sa9em4B=}H= zlk&LUw%4unb_(b9t>?CEw6^?>x06&#GP7k1R_5UJ=L)t)3rQ9xR>sy>DvhxjP{}=U zjg-;wB-2(^+R9aXjQ}I$ptWA?I+5(jts|k36MaQZn)*EvkuwZK*B#}!^HG`r^ahDc;EyUMUWc6jXfMwSirwaak6ANSF(8hP&SBfmR`r7>5Cm!NjC^R!zJP3VHO z9R;Lfggez=R(e%04{h(3H^b!|0hLwiOV z1-E?EL1Jpi_8noqP?fnf@wkwn&s(zcDVz1V`uwtnb!qA|X))p61<*nuwpTW1E+sW4ikM=RY zGqzhYnJ;aK)~fW@;~!|ZN}3`q*CX#=qnOvDvQzN)QK)Cs7AISOXfSGF)DJb_>rZAG zDA0~blqcKG{b6(ar(JpZrI4q1darGz>iPry( zPIAdWDdS*arJyUmexvkMEs0wby0-!4T&)IeDs#8(&~ARt(R@8Yuzx=C-g^?o&d_vh z^<(s=W5qz%BZR|Eo>OVbh*o7#aO$VUJ13Vp!g8T2H|d&;wfhX|o9MFk3F$uvD)YZ# zZ+<(Vk5YTwys=Noz0daZF9YIRfkT5G%k1?-ic%tPB#jRxDq=0Rc``bY=yd`mHKsKd zk~)m>>{sS|R_24%qR>q8`xat?y09@ua4HQhS`D%-Oe*x`HqHz-pA2rnh6N2fbOSp@ zN|R(My2$gIl!ux}9o;8MhE7tZh4WHB$2TuCP>WB%M&7r`ViT`j#}f4RZj=wPJ;XE8BDGDlc5H`rv0tb2>aLPb#> znr^rHo_90TeA4dOqzrG=foxZMepXjxx8P~^bitx;?*K>W9fR_kv3t*r>l$-sJ4=kp zr#;iUeJ!g=710e92$}YM!6Db+VfLVSSUs{y)$nojh}!p6~j{!Ds>`AM(ZDuSkxrpY?`D*lT(m4UUIgS8cp z1s$t$gk^W}!AMEwtbKpqOMD zSm*0wiW;9Aw`T^nwcKnSF^tDS8(fh6c!xY!Dv10dg^jxa6 zEGuTKS@F`w^75^gHqxiPyjx3IH`V3JODFnm=f-oFLq}1z7DNnlb@X4K$bVHBY9!Nb zpjpmn2kR_68xy>>{gU#Fq{68&>*8_E9QLRERCey0Amx{vhy~t#z^i|~TPN{`6 z^SSl$vo(#T{6OIqUE@`v;nHy7Pu8ZNDfE`llV{BvcD4O;KF?>l^QU+KVYp{r5?j}RuSz6?ay+n)-XK_ z{#cUq(|Fz)KS+xyWr;m>jpO?VQzS=r>02w!+Zl}a@Skq2t?nf<-K7hDBdeSU4!Juy z*sP|kqu$(#Y8^RRSz%$$yc512SG<<2Jd)CMstLJ1aM(B`->FaO%3M$*4LwyJoKV@C zI45rltu*P#vJO}>2|O}^LGYeUYn?@1-ISZE%&ThFADj($`cuxv7dLD_J;o7Tz9}Da zvflz^#>|&~SiC;BEZRzW`_$(B*}>sFJoB=k@w5HVXHd+^Xy(b$=`<$6zBqxWi;Sxz zy@QnUuWH|G8Ose>%?aYnPsjMjB}>;$hvsB|T!Sw@QBWLI{JaQzae!t>y46tp3_=E zWYjAV;v|89TL?1M?$H!Boh%laiEB`J{y!7!Zb?M38ilG4V8;eF!8SU$Z7-a{CfGrD zhP58hDr|zS?)Ybdb%sr_rc0Hu3HFxyM!E)UGv%x07Hdxco z$cI#tyd-a2kGXQE!?5Eu^Q~XmNS6}v*qk3Xp=i%i%CyZX-ti|26(+hCbhqIDatVOKfZLe70)8|>lKR$~Q; zFKmMSh4goV-9_e`}QBp%6f z3L&yg`o%(I9>rNfxDfFQvC-J?7edpzC+vXej&l!e8n$+Fz}G?MR)t-ltXGx5l;T#C zdZ(Whk51}#ttN{Y_kLE6v0{E!fwKYfPU-DI{T!+=9NxUD6j^c-iUQBgd$78a#)1Zx zIqY_%5kJiu=#8T12WLvqezJby-9W`e~H+?Fhw3_fiIe;xHWP;xQ! zTqs}K^jhwhG4lCy&}8%lioj>=k3`>`&5t2MxD)h4+ruP;WR#EpAX(3s|L~h_Cx0mS zYAR-o!0j5|Ql(8r)fa!$1AT0uRJFgX7R$jjvQC8Xh04}fY zCyp$K){YCHR@BeyM%ojux}UN(_e-(4wL!#2|ac0W1bq_ZVq{~3fc>WBZ|&6HAg@QwIzlqKID(R5e{cQ^;S z4So&rVlyId?PqvuM8UAr64A*=KvePJ_;3^}+r}p2x&GAD* z$7+~f>mZ8z%L$RYA0fVXztN!pS;#JBod0keHwHWao*P?~M@7&}2Y#T^Ms*Q{u!ave45m5k4Ij8PAAP%0C4JW^!Nbh;gRFqbSkDuN}O3pTr77U?Nm?f zP|X`Ico=VMc$&8i_`qBLYBtX9-TvC{;c)AQQi5k5tq;rnTP0^_$L}l|447K-NSU=x zv3eHFA4*mxoEz)13Nl#5LdRwn%)S;rT5xC#wVL)~eA7}dJWmT3v_5f2>jZ7`)X51s z5dTac#(Di)TTS^mC(-j1c06*ENad#w*n79HNMzz@>KY{}`&{t&5tq0tM5NvqXJAW; z3wA}*joXisY+F{rv)i2!%Mc^uE4)b>JL(m4AWcn4w}>pqtBd-g*XD$({=MSiM8T%` z=_Z3V!*PC`6`Ufj`bx>q(Ht>0*Bo57NQpjRq z$uF1)kJc;W9V%Ng!m#1?EzLzlzZGfO^O<;jnQ zbq8lrR^vZDPx-!ZWrH?!z)yM8xLB@H$oAHfuUn^~eB5~k`NuLc4^oLCt_51IKNOp+ z=Q3WnizQgCRU%s@^VxX9VJ&d163+!nn}#w$SPR_6da=Hfr_!Z@TCXi_sl%PS(Cz$G z1G8;@fS0%0t>VmrOHXnLZ(`W_3z2+Cb47Duh1ikbF*0(LgW^69w zB~Rl#O)X;$=q|cj`n&u~`~_BQ*Ew31M@GC4Ghak5GKYwN7`Q*oB`aT-sF0mxH9Ra7 zOj?&?>YiR(KJ)}C-_#^-%o`rPT_$0>b*aic?^*O%Rhzh}oijN9D0;s#v+3SGM7HNO z^k)n1%b!*p-xD9r+nrZihk~a9zoLzV>d3y^ju1dQuTr{%4!NrCCtNyzXF-LI|1WNV zzmbQ~9nN5SUkCikRtDgB=Dhfh=V7A&;&HNiVtokBP>MDGDSrpazMLCD!&hPD?}u}k z%I*#2@PGLg$i?AbTmj&O+3w3eF20^nQpm$ip9ogp_W26>mscoisGO#uoTMjhNnOr!Wg)y?$;1;IY~)kPm>L>dn6st{Hn z=Vc(^O%~mggeYMk=Ut$vYIgAr5I0~L&vFOfovOG30+8N8c?b*@$`Q5xoBc*}CdRo7 z1YiepEmLv24#N@liC%)pO?SYQX%qshqCvxiHdF+jCZY2?qI@7u)f~{Q4wb-aCC6S*E$6tDVHk=MrMJ9tldISedNx=*iRrF=V7pUHZVw+ zHDCweDa*P^4cMm^Ju`)UjL0>J1|zThUP2U&8lVaT-V!*Pt8nn!r1E>B_1id;ed(P3 z0CK6w z(L%2LZobs4E)X~E8y$pHlLj!q%jCO?$L25X8TS4Kq@in3h(ITrZ5ozMDP~G7;<&2m znNJD?(BB4%IuGOIn&&^$hPobTiI|3x?nqKYVEuE+i*E)o$VL|ydhTIHKzeoOO`J(n zn#25#dyu52AFJ>1yNkXe4L{Lr=)SHqvV|$VmZoLF!Y&s8fTJzW&exO42+4`33x%f? ze6tGIZ_0boCvry3mr@vtwW^M|YV2ER5kU`7-B}|uLAc8oP8jAHr3uA43MD);b=bs9 z$+rS;SNNN#1ekqP&#|Rmg%j$tZ!K^WIdp%K_=Koyrb&%IN$Kb-%R+8d$O?xiZ9+Z? z;ubMcd&zU8UNyFP9p-2yh_7o0L+;c?;X*qi@btDXeSY}Xu9oD4ycVIZho$~`qTNS0 zCxxNe*^elzIFppYmJDHz)&wH8UQdpEc+e6nUZVfJPh{) zB3ZO>9xY&uITlS_0pdb+^_`J9N$IoD>BBexyza8`FMaVqNJ7MZAiiOc;jRbvS|YF{ z#2qfJaBnqRlqMM%GU>`1%U3TC3mfnuB;2t z>C+sJVHuMUrLd}VVDe;gYc@ zir%c^;GdWkT6lR5dsz~LuCs03X?=Z>Z3F1@Zi>F~7JWu!2%I&CFxiA%=P9Tp##(g?!%><2foy+6as+_0)4MGOSn>X>Ve%Bmc)FweW6&yBy857dMyhx z_d^+M9b#-NAE1Y^KuD8sStb4v>?fKq$V@^1LkR8Iv60M`+V+6)AT%jAy>sgoc3+Y^ z-JZWi0TFdS{wn4h7LF5(0+U@)czV`|LY+;sNK0Zlwld|;gZN2{>_O%M_pm-7#N=wn z$c818lQHzpG_y3%r-I>wd98u z?~cEK+)8a*5kJhofDFXXX9j8817wvd^XJlN>xeB@4sFAds6|vQ77vfqF6<7HcNr7T zHA2#=Ct0xyY1nQhI8#<<5%UDDD!M$a@jNX7o>T~YG~5D=JkDtnOh3TLba9?}E0cXm zzUQF;=*8ykxo9U%Xg^IzXGr1WcRRYrjE6h0T<+DPWRAB*8w;c3x{noszRu zdeF9cK^;I$cooRWCqXL0tlXKy*`JgAW)*L9hiiGK4s45zea=Nq3@_66DlPZs4fW5o z9pwO1T6NYejh{EVKe<#XEz+pZXW7IAOc?^IPBh6MCL}O##eX;xr%RV>HSTa-p2Ov? z&W;|u06!itegI(ZfTWG@BZzVM`nWFwxx(_1*s_t+m|iyRUVi-qbWy?%Tfoh<{B6 zEyAvykp@9H>pzs9hXrL)B~Jf&Ob(G`~Z zh6TT2yj%Uj69&8gbLv~<_J5jp&&`lbFZ|zYyFLB={9Rn!|2u8>3LoPC64-5OYWm-R z-8KKf?udU6yM=k9MMXqmqKE zK_CzS06>NU;E+jWtFwCok#U&xhpTg7fBR|VGh}OW2Om_eGE?G?uT_S3w|n$Yeoyqul4+~rnz|!4d>GH({_&+m??L^A$Os`|pg9k!oQ>6N zwKF(ZW)%Ch)oD7AasQ}4{`2>j86xFB`kC46cVC<9$$W>#6W4{dcaFw6mpTXaYjQ0@yC-!06AxN;8MNa6+idrSnoy0o5)W4 zK>4VqtvXq@$80fev=tqm#$8Z8!*ljzJKXUF%3*^T9Y=(of_POpJK-ozLqRWG(_dBi z`eIXoIv)x}?{FpP#57Gy=)M-vxyo_=ll|`0=1@%?y?36*+1+_P?MCFA3ZQS9*rNfc zjMtISD`F&d(@h??OmW6C)%%GFx!c4cT+etIA`G0tC^wGygATTGDwLlZfND&AB;wr| zu~*riRKEC?L$S}H#dn3| zya+|G#0BD~QRIR)UZ**$^rz~F0N!KSXJaEgV&b5TFz1v&?`AREL7b1VoiuFI#?CL- zCzpLD&rH)DPrz)_kMh86_K!l7F5UfEH+7ULaH!^&LPOhw-y!p0+{1=!elz-t^;~zw z3E{L1yV0d!h3V#8vUl6w7x8~2OR4&X4#ecP8EL#HYnicPq2qmf-MN`RR?@fFhPJJw zc#|L#&)jbUI3cVjQ$v)UBAWZv06K={l(FTBEV2rMD@^;V&5w9yW2yK z>%2~=Zrd?1n_c9)z{^x1qNpeA(i!@TYHBK>q_=a@%dL*+dkmwtGAb?a?wY2m%CfEX zPgU=|g7NQHM3RBqZCvu~UpR)Bh2tep4@14faq#qC?#tQqyuK_0B*$WBmG!>uJ#cnC z@C3m%jwU!qa0@;wexy_f0b)g@I<`<~;ac>vL;lzY&=WX@4wLVp$dGgO8? z5$8HTnDhr#Lu@yCGjm9r-vmfriaarBpCKj)Qb$;MA)zF4Z6g)Y7JrnscZnlxDy$pQ z_+SFv9^y=s?Gt%Wdwu>Hb3O|q_NKIgl9~zk1Tf7lBoJtCC-MovRsc$9qf3ax{^rgdN?d8ky8FexSmG5`Ym|~WwzxDa*h}^H&tNCB^Mrz zYz6HA2mbS~)ZwV`eyoHx+yz-X7GxX>gkHdFeWVy_Y_drkz_t0_hOF~TDc*df3>UaS0H7)GUJ{LkQ zV1RKfsM9$9(fF+#pc>*LsH;q-fS6~u!LI+(+JAtH#qO_P?^dJ`wp*JBxWW7I`Kh}| zOp<$oy>RY(rRySCA{FpD8;gn+K^?8ZE!>AVib8@6nSHBe=EIvFl;ninT@3k!(h%Al zM4e*D(?KkP1vncKoW_+EMvXV4Wc??A=I+*CYRd6ls`mcG^eRzT9loqI$`9?;{pN*C zyuMV#UmJxfh=6p5S4DlE7C>U$`p@G>=?K5HL;=X(-+sfh@OqZH+P$kP^h}|g(@CBt zuGc9`yRFCXu@S2W19T&flq^{^p8ESR&7jm{Hu6FRjgEyGXHOjb4Z&D5-MsRN7)`m5 zg9^))Z^h{kZ;C)QUt4jVEBCXHnnw7g@9#bg9Z}zgjnzCAoFt4RCdg-qD7 zToSKL8#-5in>b^Vd|XwO1~fDonA&-f45KacHo!feJ42g+yOz8y6B7<(p@JK|hM!;| zMqT?pK~%oNrcNb6dnY}wEr4i6?ZEk&AIW+taw=Ry+2vWF;8SX|B^+++^JN4D4j6yx zPK>kiSB%m69_3G(Aqi#Yi|F=!2I!aNk$02Mq!sN497WS(X3D>J$J-D2rp6~+CS69) z+K(V#{%<^oe6eu~Z~|SY782t>`qh2vW4q4mevYloPx(|;b)CEAj;-yg`<700UHEB? zZ2%O#;H>Ls2z+!4Ny9G(tNSvlc66I?+Ap2G`zq0VbeB%!U9xKTbvo|oKHv1ac&F~0 zyze82G8+D$V!Ln4Tt|*|rv1aJx_{NZ8acJb{kt;%^;h$Eu@leQfH`1(F%Otu6awZK zt-J4sN=2`easTY|GT7cGGO#Wqg(AM38?yHerj8{A({H@U~pzuzmq2ticzLN*AI^bJ8D@dUSqy!jD= zqv(l8`holP2ci)V62A}3X&=ZHJt&qxQ2+jr)C|%XL{tiYf!2el253JJDMsB#)fqR( z2$1RwvI?&)nj`|-@<&Upe}G%^9?R~30JmG%&pI#>0Jtsw0dCDQ>{JUUTOW`bH#R_q zmn<-N{h<0s*cKz$l|7-Ry`X7Om>qi9qxFl_kT91coNK`s;5x9TL8N9YSXU8>RtGj* zjx=lq6X`=!K@nl-5lfO0Mm(bStx+V5gc$G{P$KE4&&%QLy~r+ppDrXnxkyF&*hQw! zKvQ9n1+8G`CFF3w=t{Sbx}T9_TBF+%LZvnm;&-N-v0dlD2xVwT>a+5NzQL zY?U%78aKB5G4`_`F}hpC#hWlbp120TRA;iJi@FrY-cMTwDFAT>y-Rd}Mx)qczk5Th zbQxOhry)Xt`X2#p6`6{Ma$Y%t@izh2O4}05&5V2`NzHaFUImnj6P652wL&w~PfheD5t!q*N3LaQF4!W2>!WHMk|xe8DA=nvwng#yBbs;mV{?S;G# zg&N=@71m-kwUfRlhkkJIvN!Sw%_NQVC;hYviGe$i#wn8~R6srplO~gsruakB zPQ1cTJ~%oQ0S_XLDoV1zCAniIrVeE}56}#t^L_H7dhEZ>H>-Cc`NwkQ3d4tzlCffS zaD}o_rITQ#CS%n*sVZN~Dz%8Jw`f(ArB&YBRh|gdN{rPWQq^vj)$$S5uKCr@z11=Y z)n>z0HjViwSS7b-m+LhGP z4%b6Z>MK|qh!q+%dmDTr8(LQ@3&0ILj>W8SM<^$ojL;g9NC%OaqX%OpR6-?JDhnzT zlPf3Ez`a)Y8i*~$5NS9PX`SY(jhCvd)$==6>WM&gPPt7_eT`qbnTrrvza)ZWa*jwwv)3Qg_#jx+H+3Bx0myN75Z z6F?5fQE6uPJromZWWUpiM0@5fdQ5ykOBP>@MxlSldvUXKh<_l{sP<0SK~*(Vp>0s? zo<54IUYysxJnTIrSWr@vL{U*FQC>gpSufXPKjK8P%%1^Gia~ABL5fcpf@cG|*@H%% zgC-QoX(0nRRRg#R2&!k@+bU3Ow=DVNK1c*;9W=C!Hvnn@tFjM4<-d>F4Sz%*TCeMQ zkVja->j&oQvEBN{TCts+pcwGFK6dtD1OKo2p8i1IJ_W#~FIZ*VD$^Rm*<7 zoJa*v3{;g31x_fZO^m6QPpnT2icZX^R?dk|4n9mQt-t6NC0Kh50&3q2qFu09(v7Nj zyX+-ffm6eoQzwsAXX{h5K|st+6Rwv7ENT9D5s7jXcj+fmRzi!0#w)W0> zwOMSXHD@igYppY9CH`qm!*s2W62IPgeb9NKH)q}Od~Jebe&A^x%Y7YBYD3F*1Lwnr zTIt3-$A&8We0?)$ZJcs5Ol)&6X!#&$GdgGUWMjE)ZSyVm=B4Sztk@P}?*`_FEhK}j zyXq~B?Jd-its86@niLF!8FuLmL&=9>MZwM|VGXuhny0W6?Cswi+X|N3puFu_wpLQ{ z_3Ni?aQ-$$a3>4f&eh~5v)L+Z_YU)CP}R&Bxa z#4x(pE2iExr6N$nJJ5?CwUS4$?cR5!BGkP&P@LK~Ox^d~-19d(q?|qQ`?_neJ{SQM zz2U(}X)}kxI7eJGN1?$()=QvRs=fCYN969HQtl&vRVZ}xFavKteF{I(Y(EsZN09`3 z27}YYPsrWF^=iOwW>6w(u#q~r`r?F~C%bayR4wnIZy7m*`%DclyFK`9QfEZG;f^=kn)oH{3f5++UiPC|tPLc(`C(+{+mpoN1i187u;ctH~ZLlJ8jK zd01nKSQOJ&L;rQY|4DAm>s~ypp2X|#b=Ti#FgbzLcO51#ycUzc7PHOmrZoifpX8po z`KF24gm>G>ecMQlDgO$yeg>>uds{Pes|JwnOR)BP^hgWz2u*YYjenTigbUq_3mxcu zhk(%EYu*LB-38B}IZUHDO`~~V-uVD3iTgL8w*%_X{1blznA>aSw!`$rQH?fttN_|BudXK6fJ6$0SOcx3nW1|q_G5~HPE$T znl%S40FiIE|03UYPYC}y-!McN?lTwA`Q}36#X~y6MFLbez_|bAz473T7KjX*aC$f3 zh4_$w$ef7Cl7|S&mmUOvM1Dm9U~Ws`Bq4=*I!v-)0Q=<|le5J7P_+10;wGR^2r>~^ z3Uu(wo(l zi>czZT2QQ{tBI!y3MV4brf*21SCdu&Iwi`^YYrbf>t>*d70XRsA1mwL1=T?DB=aSmD*RES8p}?&3 zI^4;9XJ~^lEz3k`^I#$eDPH|eyVu|%rGAV0pAKJ8wnQYA>Hl5l`|RO%U*`SKuVMke z);rRexHbd*E>|~fhig`XpC{9w%%Nm}n60AhBUrC6N*b(Rn%;-{(j|`=jl!;nSRct};~U5vlbU)N z0TnNA85ED*g91qj%3py(5@}HFE%Q=W@uW#Dk@1@adcz318E8xh)Tv*f5NRt)0jk>w zAwP`7;V3_f(Ic-Q=FN;n3&VnJuNOQ+L__E;_dr@AZ33X_Z~%4xqw zv*K4&w6j)Lw?CZV*AKCtRy8eooL09URKz5ATwmMNc0Yp|>U!mQ&guq8_=@X?>9eXD z#(CHNH_&aB#gV-VcX_GMvf=-iqjfu41+8r_)iGYQeweYtsc~9f#Q9qeA8uFRg7r_a z`@Ou&$fw|5Y`muelF8lEm*slhN^qsEc46TX)%WXR9 zKCJKm$TK1x!R~=apKQ`F%2b%$fXnuu<^GQ4Il()v>NzR66-EbGZl~QT(I3l=(-O1j zUYdMZ|AB7e-C4!n^rktLjuEeU4$&w61uYdZfki#zAb}-A$1VYVa=-ImKP)gvfy4TV zYCeW9vj0=v;oGZDEyPkS-Fk@bag`>A%4w3zi=1K1$cR|(QOMNNwf=_4bmZGnXrhQo zaLlMMdJtxMkHHQ>It9BWxF1m6J%qXUAZBSAWxUvrUuf9FS=2v7>y}xi$XUp-#T`ZK z_t26w$o8?@WegZCC-Ju0Npo^|l9}E1z4#82=MLk+vH~WOz6zo8N*2aKiawA{YKHQC zMVJ(jmC1BUM-`|zMs+l~iCZ3t5Nz&^bMe!`*#aF>^wY$erUzfZFVMIy3mr3OL2fQ(mqzMq^ffI@}*zO}T)MMdMiZ-;y zd5UsPcAsM`=nE&D<2{9UJ|~3G)Bgv&!N|$kw~@?BpOoMBX;U^0Fo^oWF;uPQkTND@ z(fG?hsky^Uf9}aLiEJxr1YQ&7AA(LW?)e^1nXq(d?}SoLDBkr0xpqG zsVM7V)mK7z+fcBG?Nr?TtNy2c4*^MiY&iSh4czxLNpG?4e@Hml#~5!SrnQcEBmO%s zis_YxM8nJlUOoLtHVQ-i`%5b1lUo=HTfVA#D>re&r6uT;}wKe~uN*eigh>uDwPRVh14#qrO+RNymGj8p2 zx2#Z&5$R|~S48u&O~3nYvGzUX8r>F&Qrlu^l6QX*g(+A@ zvfq)Y+4Zs^vu_`v|6F0|uZwcAi}S`@80OJEAee7h_=DQ4auKK=y6@F)4TuM~Fu4KF z`)9fk0ht9s&R;T_HPMtMTpyW9kt=NnGZaYYqQSihvIr(D7*$C%UM}^$kXMZ$th5|- zORtZkS+tf!27bct=q5AZLsU)3h-%6CSm!372JEW(@9y;S%B8EU=`+dVQilXs&*Rjx ztSPsmhbxZp9fOhgOwlj|d+wHpB~W?IQ7~UCbsyHHHo=Vg@M}~mQ&)^BO!2!#Zp34aG+@| za<+^cI-*OP3Y6c!u<9AUO~W3qiWcagooZ-p984sQm6qW#)Q{yCZ2xTU?nO?S@1sy* z=v-s?cXtW-U3O;#$H?y?-|kp^_kft-hz(P`>?)t>Lp zz05>$O~nGNaC6t@OMgFNXkKA|2}Bhzmwr(puG*n7zgfN2&?jQ1nbuNRsP2lO5!aL4 z-SXiI!V<(`XP&;}Tk==#6Z%t@PS~Ps51UsyCJl*784=w(Q&`-q}O7+LiwZe3V&1R>+c_6`=3E+o42KC z9^ZHGekz+?yJX#JFkwF%gsG&CrF^@FG@ij*4LsiMm@n<`bJn!IOd<2?Kl5{t`Z^() zKrvO9e2}f>a+tEUwBJr?n;Rr@16vK85t6tN#jiHW<$Hbf7|1`%5ae~j3M@)_l+AB5 z&Hm9^2-bn$%F8{?A~@u9mCKjcItu*xC=gBBVaO+9T*&gQEn|s0Sz+0c zAHxH9Zoy&#+RyfaJps*_o|yLYb^VQkxZ{E~JAy-govws*qdGieB9$IG0Ci>)Ng^lr zYM)O=I zj*{7{-^@BbeU0uwEEGY0$=WH>T(~NUZp`|5o)vFCW9YP*1dGir zw70>Er-`@aoAPV2wNCP6Hmcay9pEm1wmyfZAxEMFI`%3$Pceqju8#rI%#~d%h3paY zU6Jz*>}R~w6>qo(-tc1f^T}`s$WZ>vUaR!K;cHt_ZWFO?6CJM>OYYxH5`ux7wjI9u zvhpje^vfD^%AZo*zHC=a=7cL())e=1%7&HwS>ykkEUZA!<@ibV_T>Aoih(p zYtW;QDW)MTt17&aoo#?U>QwC0DSI>$$2MVg>M=A`SZQ}F)hVsgTr~YaFWth=8*(bo zNZ;Bf+REHCzQ(7}wcf>XGtS|p(EBJ&@kt?Gg>RrrVaZ69Kdd^ah;QUp;j~cI{UJwa zU_$s-e2Sk_EE~8zP@Ih&Ib>CnviZKiKd`u$qPnXHi2LP<@0u@_v>VlwWxuWKj&2}# zs1b?4Ze=sHC7Uqwcf5MC!g}_;NLm=n<#vkXO^Be;jT!QfeGjNO)m2WJohsQ=H`5h0 zC#tuo8ndL=fV(G4RjbOsoDik3nWm%|r&_3Q#FG9yFfY3J`cYN7^;W)Z?=d!+V7af*lG&6ADMk)tKkQCs`9ARTDT2io$2zlLP%z zSl@w_s_Rfig)GH+ih(%w2KB&jKT>O7Tb!)coA%+9lk4gLsxViOl&e=_O&u#4+fH13`)ywS-=ABYM39#OF< z8z^iNCk#axtsqn~U(|w&D1mN;triDT`6X=@Uu=tN@0eih2EHZo(9Y2v1UGeH2C8FE zECIc24s22U+c^_{QTHyvGF>SPn_f==9xL`~_bjP#9r@Y?(Yn1(Upf_gew6?QF@S(} zh|ve{550eqhZl)~zIAy_sDusnb(<{9V~a;Jh(`%<>;=s5HVyO93k8|<$9e;c05WGc z%jbNGld_7^H>%0!Z8MKDpRfjg$xKQQDBj1c#C7V)FDyQ8>s8LLRPl{cbq%}JVbaq?XV$zcuxFFbWIDxM{Z_xo==iLIy;{z7 zaImk@tm?tYW6{j>e6vAK=TdB1(EG>h@EqBY*x_wjPczz2>!R$2SQj!kYZfWR zBlC|iL&(P6=M}Qz6>xak=y>ZU1X}g3t6S~S+zGc zJDiZrC)z2fnsV8nbA6g~11KrOeEF>)zncDys`0JKny<6GP>=>k>a@ty4g?B4MYopN zpAPwD{5PeqLv`1a-Q@Xc{I$>U;8QU|$*!`VYRu%WT2A-)qNe7)=H|olRIvrVsp30= z4H*}`ITJ&97el-VEk&OVxm(4ojYY!E@8%n`7QYNPZf!`Z=C*RSw{70)_`HQPika!D zn;m@7E)Rk@#X;C}_BnDktL1ha2zBZ>^oQxzMnu*GAV043rkmq*>O~J4R1X524>FsN zZE;##ounVIhug7CWW<))*3Gxppz!crl&1qBan+G7YgLXzlp#%xeS=Ae?Nkm7PfRZ< z#a2dqc23X6z*%cCXr&}(@5hsE4A@SE>PXeha(&@@ezjZ z=0Wycc{rpyc^~)It~!U+?R?ebZmQ1PYJ|^Nz*PTAO`|znhcfJVI@zAO$Uf`fjBDul z3E4n>$DXg-+)>a#fK$`^YztX$9TcxyT%wEqO?T8;6;tdGb!Z(8XAxeJYJn%P_&M${ z$5?MpZROT@&%k?jG2AeiYFmlZ@~T~Hb*D++Nv+l?o zZgha+6i4C|&v;ffsGhi~K1enHlYPEE$m&bP*`=QGYmTk7)F0`oYZ*0bQzUM8Pfpzo z)>2Pvb0jmp#14W>P-JHV5TojHut~JDxaeCMPbduQX(4{!SsQx=yyUPgZYZm+wTpVX z;Jtzey~qeR4XN2%$#x+=&^moKJQG~X&v7iQKGmj5*O@x~Brn(9eDum?lUm*N#KhJ3 zY_7k1e?Y#IVan{1|M(%;i3JDB%DDBb>Fjyv48C**dUeS&{R58pYBz^-SE~8|MMC$< z+pQqNO~LsbW9toK%`SSETj`Wr*~LQKqzU@-r6i8KAC74aR1cU9n1>h|25A{NyDJ5| zH^pC><+xi6POhKZY))K+Z(c-*uSPy!Mal2C81Hv?+c{Rx8BpxRLw_~+3D)z^JvYao>7CRB6dmU`|! z5)cWtW2&ba~-L?KTTQp z+B)}YXWajZ0cBf`2mqfc!atT!rmK>)Ve~LD@JD#xL&u_pLtv2xzANV@Gn%uW>1$ zf0t*r3ze9$g>Suyf7c)DTr%aEHS8mPxVwI5J>KN7MP-A@X_H@SE8B9oi*ri6W$VM` z=v!;3l;HbeO6#P?-LlJFZTf0!-MvadyBf`p^6mj%%HVf1byWXdn?e8nZ3`sQSD9sN z|NI>ClS4kn{CJcRdLsZeAO8Dmz|7L~ zm~ZFUX(tj}&aP-`mXnwEck`1>!`-3ACKa!y@A$>9bqr zmW{%vlhx$6EI^hgAXmyhib9l&CSsMZVK%%*7(>H*D<4I@y&r~w1D#s0`+zisBP`-~ z^k=(2Jdc#yW+ZR>NQ+K6ja+Dl2qTF>yZEHc$Qx~mQndN*XnXfG;gw_vG7FpRNMe)h z5&_E&34VdB2l1?4(-9|~eB7Pz$>|Zkh2lpVxEw3H(p=HN7ZRO{z2*9nkt{*?3X?V+ zCXGyqAVd^aB0H@D`Ol1yOx^N@lDD<;;jDVBdJPbT7{>FvCi?{+{YvQM>NnVO9fYk$ zZLQgPBQ@aW?p&z#2-c_dg2{!#$76Lg< zdcrov#QJ6*7)T7E`Nbq~V;5qCG?PyYkQZkDSNkt460qdcEu&b5maP+& z+3!$+X!d8pG5fOep-h&VUcr~n&D$j}UAqyODBOo=N+~?2q?jnZw+$jU-mJMFQu^(D zwlxzzE+76HfU+9&dh^|B*XymIzfYSVFb*0mLho05qW>CI5Y66> zUKq>28fDETeBC;pAPH6~`mD%0T9m9gMhi)KYjqr*YSO*KkZwgHU6K)6RL+>?(#OJ- z6SV%R^lRV)Mp<4Md30GptT32`B1zl9{$;vDJ1PLWqa(_SGTm7#DjH5INbAPHsMXCo ztKl`BE>~=IeFTo|@P;woQ}(7gZAXsg)w!AKmL3L9#KdtEM8&jr^tqZB^foj+QE8pD zyq}{@=;>Y_k6?%sBz-OeSsvmRG8sjoZhY+JL;xZcm12yn3D5I#JB&Yba}WH;4ZHk%2puMU@^WIbDgn zghwnUmXVQ=KOX|+%lV^fC$Ez^UsOV*8MEqWCG%}{U7oyc1zW)XCJSa_{bq1<$UUhs z+lBv7Xe)8btHLwq%&Aml|6bj1O6u!%Hj~(?p+dlO$>@Kd?y+bSv6LEBXvB@6KvNV@ z-9C0@?(uNU*(hcHHX<@>IS&8N+*bT_7RyKSLaSN{!9+zSSmlZe4RT4TvY1T&fVacO zsYOdMXAq03HS2uFTvLf;)3Mt7#QE$KuTs%POO2qu{#-->W-+1@O)tfT0&-%sBRN;? zly=<`!Nqco|A4n%#Yi3Nbqd$p#)`#ik8hP`Ppk%pq;KnM+^TFiV!)IBsYC?=)eajl zqvyY`K)u8@?*Dd4jb3!DE=u|d*_aVF>7(3uO9eY$nls`Xpexwb5wfa=1M~=!j!`Ch zaVCPSe_Pkr$+3~#DjKYmZesVh_UK4D}p=^sxg6jZIk_p&;f`onVTz_XE{%q+YJn$=15ahXO;XB@WHS1L%B9l`jwSHrK~@ zWig{EDEBY!e)$BbZqq-lBcs={O-=jz9vMPrE*ELJm>b+NhQc;qT{6l&p{GXplgnC- zK0hWlE}B;+w+31K`sqrA5=zzg+X%l-Wij0r`A(ng69)WUH~al;UlD@yCGbF`?1AV+ z{9cHt;I{DSiMwL<$-C)2;NTEsg?kV)iAj2#oIjE{T~i*sCwCELQfvVh*eV!Xk4;nMw)LM;ZbQ-o}h`HPHZ`38=pWd16Kso)!?Q1ykj;=A|cf@(u#`y48aNA5Fr?)bn z>4y5&>xIf3@9OX5+xjg{bETXA*uGbBWL81h?~1hWMJ z?3IMg*4-=`ntvW2J@qd+D#SPa5-=H_5tz8!t0J-9>`56O3M7f1+)c}WRc;;%pvnyo z1xaUeoxuXpY4FKu2!zQoJ73{y=Sd6<|I2a{0d6}KlQom@9_ev0kCX%{kfMj@5lLbJ zhSw01Q%sW^2mHfoiBDxo(5FE99Lh)3k9(b)-b<4^iiR{nCQf9Davh4glTUhK`Kp_G z50cOKXta z8HsfoQ0sOXfVS-{P|iXnV6Z&Op1(ocoX?@CCooa348oo*gr1BqLcNGy+ksV9%<)z% z-I0io76edQo@hfp@j{9|G^963ggt18>@?!kpg@yd37bMj#sWH4D#S;49!Ga1;}l&f zLoZ$d9jFMH8IQ!fvo2%+n%tq;#k7H!g+LNp5@(elcsr0i|5djFiTqwJaZ%tSomh=^ zU=a;R9~u7`nsgtUyz-s|g-jrQp;E(&!lnZ73232~%H3$n-E_O#g;Gg-(jG>L6J#k2 zk}n=;L9jx;H<@^hz0{jU8qY|Y;Qjn>^b(4+LArS&IJDx_Yifugc#JUWyHN4&NSueh zyz0FG`hD#an!u4f8NhA36)Okt293Zd3m}1I490UdI}jSC9ZRL8EQvfi%)o-cvpsSC zOq6>h11d=1z(Vuo{wOMaMjY=Jwp&EBox$_Wj$+i?^=z`f4nyYClWF2EV0hgg;7WR$o~4SOPn zAWj%UyU`T-7=w>s;z!m2&;0=xh4MQG+Z>kaoTaY8M!XOGJ|}s0LkcJ-IXTC9n7pO> znZ<$hM|lt$PVrtu?hw3((3d;bdaDOcRGBDIFgz=1ft_MR2TOx?1`z2{pyCnY#0u|_ z0*_yQ;3^stGF@Qjk;DLV;6$0s^&#vJ@LQm)Y8!qOO2rJkHJ1kj`bhV=hB=J(NP_t& z3z9EAcEpIfk2MvE)n54ZAKFI3q?bg=qZQ7y3#0%=ron1kp; zu#!r%#}sl9?YECh0&fr8gvpU~spU#a1FH^mDS?@U%uqy7!BAwuNd`_|x!K!&@2N;1 zDkI=q5;uU7Gs67F6aq3!6)NnC`iA{CZG(qwGcyiMN-XJz&?-Of1wS0a^2^PV4hvaA z7(YU+Dh>?5l{w}4d=#hkINSBw8CIx_^?ioCccFnJE5w_n?p6o+5SqHaNH1xJFY&9% zUn>In9UZJ}ori{OIq(2)GWH^MTgJVR2 zbC&JC^}SD_hx0hwyEv7zM0W^HkCj~ZZp+Mtp+6WBje4Mg==5cbL8ykI-=D0i8;w<) z1>|=YFasHxJ6#yul~}eGQ#Zm&-5WcxRgd2*6swqIwCV24V2q~=)T9NeI?X)yyR2r+ zkZ{yF&~mg_eC>5m>_(gF+f%wI&LQCt2QiQsRjYb%jE_;$D_hM8lars&c=_xwsqeB$ zXHF?wvuPI=kXfgxZ3p`}aK@8!IaKF7F~l|R;38J9`<#p3o@Vt{tf4Zj8_@}NM+*9v zkJLDl>>wdG9PSL+iv*v;CgJSZt9hGLM#WU2Twygw&=SHWOCt5mDJup_X-kFY6@u%2 zKySZrIi&~2DekHZFt$m94<(!&SA_Gh?n1?yGvExBR8*&wshp>GTeR2tvzdlhW3Ve! znEgrqQFM*S0S%ov*8$GgUzWLd-Y(4q?70a0gch&Pgk1`YFQN-vpTt)G#9LubMZ&L; zK+P9NV+lti8fEk0rI>2aEJ)yA=G(9!6^MB(96*0>o+8-)7vX rwsokk+-SaaXz#hvBkRx;xG~b|Fmk#7AFJ-N|39eiQzJ", - "image/png": "iVBORw0KGgoAAAANSUhEUgAAA6cAAAMQCAYAAADb0xO9AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAC4jAAAuIwF4pT92AADtgElEQVR4nOzdeXhTVcI/8O9N2nRJmu6FUrpQyl62IgKCgIiDioqijKIzguIKOi64DPOO4zI4vxnHcXlVGMdRcFdkERRxAYGKlK1sbaFAKaUFSkubtmnatGmS+/uDN6G3TdIkTZuk+X6ep8/DuTlbmLHkm3vuOYIoiiKIiIiIiIiIvEjm7QkQERERERERMZwSERERERGR1zGcEhERERERkdcxnBIREREREZHXMZwSERERERGR1zGcEhERERERkdcxnBIREREREZHXMZwSERERERGR1zGcEhERERERkdcxnBIREREREZHXMZwSERERERGR1zGcEhERERERkdcxnBIREREREZHXMZwSERERERGR1zGcEhERERERkdcxnBIREREREZHXMZwSERERERGR1zGcEhERERERkdcxnBIREREREZHXMZwSERERERGR1zGcEhERERERkdcxnBIREREREZHXMZwSERERERGR1zGcEhERERERkdcxnBIREREREZHXMZwSERERERGR1wV5ewJE/q62thbbt2+3lpOTkxESEuLFGRERERFRT9Dc3IyysjJrecqUKYiKivLehLoYwylRJ23fvh0333yzt6dBRERERD3c119/jVmzZnl7Gl2Gy3qJiIiIiIjI6xhOiYiIiIiIyOu4rJeok5KTkyXlr7/+GhkZGV6aDRERERH1FEVFRZLHx9p+7uxpGE6JOqnt5kcZGRkYNmyYl2ZDRERERD1VT990k8t6iYiIiIiIyOsYTomIiIiIiMjrGE6JiIiIiIjI6xhOiYiIiIiIyOsYTomIiIiIiMjrGE6JiIiIiIjI6xhOiYiIiIiIyOsYTomIiIiIiMjrGE6JiIiIiIjI6xhOiXxQmaHOr/olIiIiIuoshlMiH7NdW4yVVbnI0ZV6tN8cXSlWVuViu7bYo/0SEREREXkCwymRD9muLUa2rgQAsFlb5LGAmqMrxWZtEQAgW1fCgEpEREREPofhlMhHlBnqrMHUwhMBtXUwtcjWlXCJLxERERH5FIZTIh+RrIjEdHVGu+udCai2gikATFdnIFkR6VafRERERERdgeGUyIdMUKV4LKA6CqYTVCluz5GIiIiIqCswnBL5GE8EVAZTIiIiIvI3DKdEPqgzAZXBlIiIiIj8EcMpkY9yJ6AymBIRERGRv2I4JfJhjgLqNm0xRFG0XmMwJSIiIiJ/FuTtCRCRY5Zg2TZ4/qIrwe6GMgwLS4BJFHFYf75d284G0zJDXZfs6ttV/RIRERGR/+KdUyI/YO8OqkE04UBjeZcE0+3aYqysyu30Oatt5ehKsbIqF9u1xR7tl4iIiIj8G++cEvkJe3dQ7TnQeA4NJgMyQmORrIiEXHD+u6jt2mJk60ok43liaXDrpceW/qeo0zvdLxERERH5P4ZTIj/iSkCtNjYix1iKnIZShAhB6B8SgwGhscgIiUW4XGG3XZmhzhocLTwRUG09E5utK0H6/4VnIiIiIgpsDKdEfmZ0eB+n755aNItGHGmqxJGmSgBA32A1MkLjMCA0Fr2CVBAEwVo3WRGJ6eqMdmN0JqA62qyJwZSIiIiIAIZTIr/zs4vB1JYzLVqcadFiW30x1LIQZITGYkBoHPopohEsk9u9Q+tOQOUuwkRERETkDIZTIj+SoytFbuM5j/apNTdjf+M57G88hyDIkBYSjYzQWAwJjQfQuYDKYEpEREREzmI4JfIT9oJehEyBerPBI2MYYUZRczWKmqvxPYD4ICVSFVE4baiV1HMmoDKYEhEREZErGE6J/EBHQc/e63IIMEF0e9wLxga7rzkKqAymREREROQqhlMiH+dM0LP3jKgJIrLC+iBIJsOJpmrUmPQendtmbRF0pmZMV2dYN1ViMCUiIiIidzCcEvkwV4KevYC6X38O09UZWJQwHtWmRpxoqkZRUxVKDXUwd+KuqsWuhjIcbDyHYWG9IULEfhvPxDKYEhEREVFHGE6JfJQ7dyCd2WU3TqXEBFUKmsxGFDdrcKKpCkXN1Wg0t7g91ybRhNzGszZfYzAlIiIiImcwnBL5oM4sjXX2GJhQWRCGhiVgaFgCzKKIcy1anGiqxommKlQYdZ54G4iUhyJUCEKz2YgQmfu/bsoMdV1yHmpX9UtERERErmM4JfIxnnhm09VzSmWCgL6KSPRVROIqdTq0piYUNVXjRHM1TjVr0CKa3XkrqDM14du6QnyvPY7BofEYGZ6INEU0ZP/3fKoztmuLka0r8fgdWMvf82RVGqao0z3WLxERERG5h+GUyId4cjMhVwNqa2p5KLKUSchSJsEomlDSXGtd/ltranJpHgBgFM3I11cgX18BtSwEw8N7Y2R4ImKDwh22swRTZ+ftrNZ/z5b+GVCJiIiIvIvhlMhHlBnqPL7LraOA2lcR6dSS1iBBjozQWGSExkIURVwwNqCoqRq5jWfdCqpaczN+1Z3Gr7rT6BusxsjwRAwNS0CoLFhSr8xQZw2Orefd+n25w9YXANm6EqSHxnKJLxEREZEXybw9ASK6KFkRicmqNMk1TyxlnaBKwXR1huTaZFWaW0FMEAQkBKsgCIJbwbStMy1abKw7htfP/4q1Nfk42VQNs3hxB+FkRWS7eQMXA2qOrtSt8RzdmWYwJSIiIvIu3jkl8iGWpaWefsay9R3Uzj5jaS/gqWQK6MwGt/o0wowCfSUK9JWIkCkwPLw3RoQldmppsrPz5m7CRERERL6B4ZTIx0xRp3fJEtMJqhSnl/La01HAs/e6K+rNBuzUlWKnrhRJwWqMCO+NKRH9sL3+lKSeKwGVwZSIiIjI9zGcEvmgrlpi2pXBFLD/jCsACABEF8c826LF2Tot5BCQEKRCZZsjbpwJqAymRERERP6Bz5wSUYdcCXi2nnEFLgbTwaHxSApWuzy+CWK7YGrh6BlUBlMiIiIi/8FwSkQOuRPw7AXUwqYLGBKWgIfjx+EKVSoiZAqPzNFWQGUwJSIiIvIvXNZLRHZ1JuA53MxIDVyt7o+rItJxqlmDQ/rzOKa/ACPMbs91s7YIF1oaMDNqEPY0nGEwJSIiIvIzDKdEZJMn7jw6s9tu/9BY9A+NRVNkC47oK3Go8TzOtNS5NedD+nIc1pfbfLaVwZSIiIjItzGcElE7nlwS6+xxMKGyYGQpk5ClTEK1sRGHGsuR13geWnOzS+MxmBIRERH5J4ZTIpIoM9R5fEmso4Bq63ib2KBwTFP3x9SIdJQYanC4sRxHmy7AKLq37PdUswa9glXop4iGIAhu9UFEREREXYvhlIgkkhWRmKxKQ7auxHrNE3cebQXUyao0h8fbyAQB6SExSA+JwXVmI47oK3FYX45Sg2vLfk82a3CyWYNeQSqMUyUjM6wX5AL3gyMiIiLyJQynRNTOFHU6ACBbV+LRJbGtA+pkVZp1HGeEyIIwWtkHo5V9oDE24nDjeRzWn0edqcnpPiqMOmyoPYqftScxVtkXY5RJCJMFO9W2zFDXJefPdlW/RERERP6G4ZSIbJqiTkd6aKzHg9MEVYrNpbyuiAkKx1R1OkIEOTbXn3S5vc5swNb6YuzQlWBUeB9cruyLmKBwu/W3a4s9HtSBS8/2uhrUiYiIiHoihlMisqur7uh5ot8cXanNYCrA9qZItrSIZuxtOIO9DWcwODQe41Up7eZmCaZA+02cOqP1plOW/hlQiYiIKJAxnBKR33G0m/Dlyr7YUHsU+foKl/osbLqAwqYLSApWY7wqBYND43C2pV7y7C3gmYBqa/7ZupIuuVNNRERE5C+4IwgR+ZWOjrmRCzLcEj0M0yP6u9X/2RYt1tTk453KXThn0GJqRPu7mZu1RcjRlbrVv6P5M5gSERFRIOOdUyLyG66cvzohIhUQBJv1nVFrasKP2hMIEYKQqojCaUOt5HV37qB68vxYIiIiop6Gd06JyC+4E+wmqFIwXZ3RqXGbRSNOG2ph63RUV+6gMpgSEREROcZwSkQ+rzPBzlFAVcoUTs/B3iZLzgRUBlMiIiKijjGcEpFP80SwsxdQG8wGjApLRHpIdKfm6CigMpgSEREROYfhlIh8lieDnb2AelBfjvSQWDwQfzlGhPWGzOYC3o5t1hZhu7ZYco3BlIiIiMh5DKdE5JPKDHUeD3b2AupmbREMogmzoofiD72uwERVKkIF1/eLy9aV4IML+1DV0sBgSkREROQi7tZLRD4pWRGJyao0yTmjngh2lvatg+NkVZr1GJcIeQimqftjkioNh/Tl2K0rQ41J73T/Z1u0WH5ht83XGEyJiIiI7GM4JSKfNUV98YzRbF2JR4Nd64A6WZVmHac1hUyOscq+GBOehONNVdjVUIoyQ53bYzKYEhERETnGcEpEPm2KOh3pobHWO5ueMkGVgr6KyA77lQkCBofFY3BYPM4a6pCjK0NhU6Xd3XvtqWjRocaoR3RQmPuTJiIiIurBGE6JyOd5Opi622+SIhK3xUSixqjH3oYzONB4DgbR5FTbPP15FOgrMDq8DyZFpEEtD3FnykREREQ9FsMpEZGLooPC8JvIAZgckYb9jeewo74EzU6EVDNE5DaexaHGclymTMJEVSrC5c6ftUpERETUkzGcEhG5KVQWDAGCU8G0NSPM2NVQhv2N5zBOmYzxqhSEyvjrmIiIiAIbPw0REbnJ3nExMggwO/FUqkE04RddCfY2nMEVqlRcruyLYJm8K6ZKRERE5PN4zikRkRscnWP6p8SpGB7W2+m+mkQjfq4/ibcrc7C34QyMotlu3c7sGOxIV/VLRERE5CyGUyIiFzkKphNUKRAEATdHD8XVEf1d6ldnNuD7uuNYVrkLBxvPwdwmpG7XFmNlVS5ydKWdmn9bObpSrKzKxXZtsUf7JSIiInIFwykRkQs6CqatXRGRiunqDJfHqDM14ZvaQvz7wh4U6CsgiiK2a4uRrSsBcPF8Vk8F1NbvJ1tXwoBKREREXsNnTomInORKMLWwXLfVriPVxkasrSnAVnkxakx6yWuW/uyN6wxb7ydbV9Il58oSERERdYThlOzSaDTIycnByZMnUV9fj5CQEPTp0wejR4/GkCFDumRMnU6HnJwcHD9+HLW1tQgODkavXr0wYsQIjBo1CoIgdMm4RB1xJ5hadCagAmgXTC06E1AdvR8GUyIiIvIGhlMfVl1djX379mHv3r3Ys2cP9u7di/Pnz0vqPP/883jhhRc8Ou6OHTvw8ssv46effoLJZPuIjIyMDDz66KN4+OGHERwc3Okx8/LysHTpUnz99dcwGAw26/Tp0wcPPvggFi9eDKVS2ekxiZzVmWBq4SigOru7ry3uBFRPvB8iIiIiT2M49TGvvfaaNYwWF3fvs18tLS144okn8M4773RYt6ioCI899hj++9//Ys2aNRgwYIBbY4qiiJdffhkvvvgijEajw7rnzp3D888/j/fffx9fffUVLr/8crfGJHKFJ4OcvYBqhoi+wWqca6l3K6S6ElAZTImIiMhXMZz6mMWLF3tlXKPRiDlz5mD9+vUutcvLy8PEiROxfft2t5b6PvLII1i2bJlLbUpLSzF16lR8//33mDx5sstjEjmrzFDn8SBnL6CeadHi1uhMnGiqQp7+vMsR1ZmAymBKREREvoy79RIAYMmSJe2CaVxcHF588UUcPHgQGo0GJ06cwOeff97ujuWFCxdw4403QqvVujTmO++80y6YqlQqLF68GHv27EFVVRVOnTqFDRs24JprrpHU0+v1uOWWW1BWVubSmESuSFZEYrIqTXLNE0Fugiql3S6+k1VpGBqWgFnRQ/Fg/DgMCY13ud/N2iJs1Z60+RqDKREREfk6hlMfp1KpMGXKFDz11FP48ssvu2SMQ4cO4V//+pfk2rBhw3Dw4EH85S9/wciRIxEdHY2MjAzccccd2LVrFx5//HFJ/ZMnT+Kll15yesyKigo888wzkmtJSUnYtWsXXn31VYwdOxaxsbFIS0vDjTfeiB9//BGvvvqqZEMkjUaDJ554wvU3TOSCKep0a0D1ZJBrHVAnq9IwRZ1ufS0+WInbYobjvrixyAiJdanfHbrT+LAqFw2mS89uM5gSERGRP+CyXh9z+eWXY+zYsdafwYMHQya79B3C7bff7vExn3vuOYjipUWEERER2LRpE5KSkmzWFwQBr7/+Ok6dOiW527ps2TI8+eST6NOnT4djvvzyy2hsbLSW5XI51q9fj2HDhtlts3jxYpSVleHNN9+0Xlu7di3279+PrKysDsckctcUdXqXHK8yQZWCvopIu/0mKiIwN3YkSptrsbW+GKWGWqf6LTXU4Y2KXzFBlYIgQYbt9afa1WEwJSIiIl/DO6c+Zvfu3Xj77bcxb948DB06VBJMu8LBgwfxzTffSK699NJLSE5O7rDt8uXLERYWZi3r9Xr885//7LBdRUUF3n33Xcm1Rx55BGPGjOmw7csvvywJv6Io4q9//WuH7Yg6q6uOV3Gm35SQKNwdOxp3xoxEYnCEU/2aIeJX3WkGUyIiIvIbDKcBbtWqVZKyUqnEggULnGqbmJiIW2+9VXJt9erVHbZbv3695LgYQRDwhz/8wakxlUol7r33Xsm1TZs2QafTOdWeyF8JgoD+obFYEHcZ5kQPR3yQe8cpMZgSERGRr2I4DXBtN0GaPXs2IiKcuzMDAPPnz5eUz5w5g9zcXJfGnDRpEtLT0+3U7njM5uZm/PDDD063J/JngiBgcFg8Hoi/HLOihiJaHupS+8oWHXSm5i6aHREREZH7GE4DWGlpKY4cOSK5NnXqVJf6uOKKKxAcHCy5tnHjRrv1DQYDtmzZ0qkx+/fvj759+zo9JlFPJBMEjAjvjYcTxmNm5CBEyEKcandYfx7vVO7CLl0pTKK5i2dJRERE5DyG0wB2+PDhdtcmTpzoUh9hYWHtNiPKy8uzW//48eNobpbetXF1TFttHI1J1JPJBRmylElY1Gs8Bji5s69BNOEnbRH+c2EPips1XTxDIiIiIucwnAawwsJCSTkoKAgDBgxwuZ8hQ4Y47Lej19q2d2fMY8eOudwHUU+yr+EsTjRXu9SmytiIT6sP4itNHmqN+i6aGREREZFzGE4D2NGjRyXlpKQkt3YHbruz74kTJ2AymZwaUy6X2z2yxpUx6+vrcfbsWZf7IeoJ7J1jGuTkr/jCpgtYfmE3sutPwSja/m+XiIiIqKsxnAawc+fOScrOHB9jS0qKdOfP5uZmVFfbvoPTdszExETI5fJOjwmA4ZQCkr1gOl2dgSV9piIrvONzhwHAKJqxvf4UllfuxrGmC5Kzj4mIiIi6Q5C3J0De0/b4FbVa7VY/ttrpdDokJCR0+5idVVlZiQsXLrjUpqiofTAg6g6OgqnluJiZUYMRLQ/DlvqTTvVZa2rCKk0e+ofEYEbkQMQGhXt0zkRERET2MJwGsLZhLiwszK1+bLWzFxS9MaYrli1bhhdffLHT/RB1NWeCqcUVEakQBMFmfXtONmvw78rdGK9KxpWqNChk0n8uygx1SFZEujd5B7qqXyIiIvJ9XNYbwBoaGiTl0FDXzku0cCUoemNMop7GlWBqMUGVgunqDJfGMUPETl0pllXuRn7jeetS3+3aYqysykWOrtT1yTuQoyvFyqpcbNcWe7RfIiIi8g+8c0pE5EfcCaYWltdduYMKAPXmZqyrPYLcxnOICwrH/sZzkn46GtcZrd9Xtq4EADBFnd7pfomIiMh/MJwGMKVSKSk3NTW51Y9e3/4ICpVK5TNjumLhwoWYM2eOS22Kiopw8803d3psoo50JphauBtQAaDUUItSQ63kmicCqq33la0rQXpoLJf4EhERBRCG0wDWNszZCnzOcCUoemNMVyQkJNjcyInI2zwRTC06E1Bt6UxAdfS+GEyJiIgCC585DWBtw5xWq3WrH1vtnA2n3TEmkb8rM9R5LJhaOHoGNVRw/XvLzdoil59B9WTgJiIiIv/HcBrA+vSRnn9YVlbmVj9t24WEhCA2NtapMcvLy2EymTo9pq2+iXqKZEUkJqvSJNc8EeBsBdTJqjT8odcVGK9MhgyCS/25ElAZTImIiKgthtMANnjwYEn57NmzMJvNLvdTWir9MDpgwADI5XKnxjSZTDh79mynx4yIiEDfvn1d7ofIX0xRp1sDqicDXOuAOlmVhinqdITIgnBN5AA8EH85+imiXepvs7YIO+tPO6zDYEpERES28JnTADZkyBBJ2Wg04sSJExg0aJBL/RQWFkrKbQOoozEB4OjRo0hJce0DadsxXZ0zkT+aok7vkk2CJqhS0FcR2a7f+GAl7oodhcKmC/hJewJ1pman+ttSfxK1Jj2uj2r/u4DBlIiIiOzhndMANmLEiHbXdu7c6VIfer0e+/fvl1wbPny43foDBw5ESEhIp8YEgF9//dXpMYl6kq7aJMhev4IgYEhYAh6OH48rVWmQO/nPRm7jOfyncg+0pks7cjOYEhERkSMMpwEsJSUFQ4cOlVzbtm2bS33k5OTAYDBIrs2cOdNufYVCgauvvrpTYxYXF7d75tTRmETUecEyOaaq0/FwwjgMDI1zqk2FUYe3KnKwo74Ev9afZjAlIiIihxhOA9ysWbMk5bVr10Kn0znd/sMPP5SU+/btizFjxrg05i+//ILi4mK3xwwJCcGMGTOcbk9E7osOCsPtMSMwN2YkYuRhHdY3Q8TW+mL8XH+y3WsMpkRERNQaw2mAmzNnjqSs0+nwwQcfONX2/Pnz+OqrryTXbrvttg7bzZo1CwqFwloWRRFvv/22U2M2Njbi/fffl1y77rrreIwMUTfLCI3FgwnjMC2iP4IF2xugOcJgSkRERG0xnAa40aNH44YbbpBc+8tf/uLUDroLFy6EXq+3lkNDQ/H000932K5Xr1544IEHJNfeeustHDhwoMO2f/7znyVzEwQBzz33XIftiMjzggQZJkakYmHCOAwLS3C6XZgQjL7B6i6cGREREfkjhlPC0qVLIQiXzjOsq6vDddddh3PnztmsL4oiFi9ejHXr1kmuL1q0yOmzRv/nf/4H4eHh1rLRaMSsWbNw5MgRu21ef/11vPHGG5Jrs2fPRlZWllNjElHXUMtDMTs6E3fHjkZ8kLLD+nqxBSur9+OHuuMwmF0/55iIiIh6Jh4l42Nyc3PbLZV1ZPPmzWhqarL5WnR0NJ599tkO+xg5ciSefPJJ/Otf/7Jey8vLw6hRo/CHP/wBN910E5KTk6HRaJCbm4vXXnsNu3fvlvTRv39//OUvf3F63r1798Y//vEPPProo9ZrZWVlGD9+PB566CHcfvvt6NevH3Q6HQ4fPoy33noLP/74o6SPmJgYvPbaa06PSURdKzUkGg/Ej8VqTT6ONVd1WH9PwxmcaKrGjVGDkRri2nmqRERE1PMIoiiK3p4EXbJy5Urcc889HukrNTUVJSUlTtU1Go2YPXs2vvnmG5fHiYuLw/bt29vt/OuMhQsXYvny5S63CwsLw6ZNmzBlyhSX23paQUEBMjMzreX8/HwMGzbMizMi8h57x8V05LLwJFyt7g+FjN+ZEhERWQTa50wu6yUAQFBQENasWYOHH37YpXbDhg3Dzp073QqmAPDOO+/gxRdfhFzu/IYqycnJ2Lp1q08EUyK6xF4wFWzUbWtf41m8e2EPTjVrPD8xIiIi8gsMp2QVHByMZcuWITs7GzNmzIBMZv//Hunp6XjjjTdw4MABDBgwwO0xBUHAX/7yF+zfvx9z5syR7OLbVmJiIl544QUcOXIE48aNc3tMIvI8e8F0ujoDi3tficSgiA77qDU14ZPqg9hYW4hms7ErpklEREQ+jMt6ya7q6mrk5OTg5MmTqK+vh0KhQJ8+fZCVleX2ndKO1NfXY+fOnThx4gTq6uogl8vRq1cvjBw5EqNHj5Zs3OQrAm25BVFbjoJp6+Nivqk5ioP6cqf6VMtDcEPkYPQPjfXYPImIiPxNoH3O5MM9ZFdsbGy7Y2a6WkREBGbMmIEZM2Z067hE5B5ngykA3Bg9BFFBodhWf6rDfrWmZnymOYRR4Ym4Rp2BUFmwx+ZMREREvonLeomIyC2uBFOLKyP6Ybo6w+kxDjaW49+Vu3GiqePdf4mIiMi/MZwSEZHL3AmmFhNUKS4F1HqzAV9oDuPrmiPQm1us18sMdc5P2AVd1S8RERE5xmW9RETkks4EUwtLPVeOncnTn8epZg2ujxyE8y31yNaVuDSmMyzvbbIqDVPU6R7rl4iIiDrGcEpERE7zRDC1cCeg6swGrKrJs5YtbT0RUFu/t2xdCQAwoBIREXUjLuslIiKnlBnqPBZMLVxd4mvLZm0RcnSlnerDVujO1pVwiS8REVE3YjglIiKnJCsiMVmVJrnmiWW1tgJqUrDapT46E1Ad3Q1OVkS61ScRERG5jst6iYjIaZZlrp5+3rP1El/L855lzbXYUFsIjanRqT42a4sAUcSEiFSnx/XkMmUiIiLqHIZTIiJyyRR1OtJDYz1+V3GCKgV9FZHWfpNDovBAwlhs157CroZSiE70sbn+JAyiyalnRRlMiYiIfAuX9RIRkcu6arlr236DBTmmR2bgnrgxiAsKd6qPbF0J1mryIYr24yyDKRERke9hOCUiIp+XpIjE/fFjMVGVCgFCh/ULmirx78rd0Jqa273GYEpEROSbGE6JiMgvBAlyTFP3x71xYxAfpOywfpWpEW9X5OBg4znrXVQGUyIiIt/FZ06JiMiv9FGocX/8WPxSX4JfdadhdvA0qglmfFNbiCP6SiQGR2CH7nS7OgymREREvoHhlIiI/I5ckGGqOh2Dw+KxoeYoKow6h/VPNmtwslnT7jqDKRERke/gsl4iIvJbvYMjsCD+MkyJ6AeZE8+itsZgSkRE5FsYTomIyK/JBRkmR/TDffFjkRgc4VSbMCEIqYqorp0YERERuYThlIiIeoRewSrcGzcG0yLSIe/gLqpeNGJFVS5ydKUOj5whIiKi7sNwSkREPYZMkGFiRBouVyZ3WNcMEZu1Rfhccwg6k6EbZkdERESOMJwSEVGPkqMrRU5DqdP1TzZr8J8Le3CyqboLZ0VEREQdYTglIqIew945ph1tldRgNuAzzSFsriuCSTR3zeSIiIjIIYZTIiLqEewF0+nqDDzdezJ6B6k67qOhFCurcqExNnbFFImIiMgBvzrnVKvVYt++fdi7dy+OHz+OkpISlJWVob6+Hg0NDTAajQgPD4dSqURCQgJSU1PRr18/jBw5EmPHjsWgQYO8/RaIiKgLOAqmluNi7osfi7U1BTjSVOmwr3Mt9Xjvwl5cHzkIw8N7d8l8iYiIqD2fD6c5OTnYuHEjNm3ahEOHDrXbVbFtuampCRqNBmVlZdi/f7/ktcjISFxzzTW4/vrrMXPmTMTFxXX5/ImIqGs5E0wBQBAE3BqTiShtEXbqHD+TahBN+Lr2CIqbNbguciAUMp//55KIiMjv+eS/tsXFxfjwww/xySefoKSkBED7EGohCPafJGrbpra2FqtXr8bq1asRFBSEGTNmYN68eZg1axaCgnzyr4KIiBxwNpi2drU6A6FCMH6uP9lh/4f153HGUIfZ0ZlIVDh3hioRERG5x6eeOd2+fTtmzZqFgQMHYunSpTh16hREUYQoihAEweYPAGsdy4+FrfqWOi0tLdi4cSN++9vfIjU1Ff/v//0/aDQab711IiJykTvB1GJiRCqmqzOcGkdj0uODqn3YxTNRiYiIupRP3C7cvHkz/vznP2Pv3r0ALt3xbH1X1NYHApVKhcTERISHhyMsLAxBQUHQ6/XQ6/XQaDSorKyE2SzddbHtnVZRFFFeXo4///nPePnll/HII4/g2WefRXR0tKffJhEReUhngqmFpZ6tftoyQ8RP2iKcaq7BTVFDoJQrXJswERERdcir4TQ3NxfPPPMMtm3bBgCSO6SWMgCEhIRgwoQJGDt2LEaOHInhw4cjNTUVarXaYf9GoxHl5eUoLCzEoUOHcOjQIfzyyy8oLb30rFHrsRobG/HPf/4T7777Lp566ik89dRTCAkJ6YJ3TkRE7vJEMLVwJaACQFFzNf5zYQ9ujh6KfiExAIAyQx2SFZEujeuMruqXiIjIVwmiF9YoaTQa/PGPf8QHH3wgWbYLXAqkKSkpuPXWW3HjjTdiwoQJHg2Jp06dwubNm7FmzRps3boVLS0tAGBd9mv5c2pqKt58803ceOONHhubep6CggJkZmZay/n5+Rg2bJgXZ0TUc5UZ6rCyKrfddXeCaWv2Aq8jE1WpEADs0J3u9Pj25jNZlYYp6nSP9UtERP4l0D5neiWcxsbGora2tl0oValUmDt3LhYsWIDLL7+8W+ZSW1uLVatW4b333kNu7sUPPG1D6ptvvolHHnmkW+ZD/ifQfmkQedt2bTGydSXWsqeCoTsBtbWumgcDKhFR4Aq0z5le2RCppqYGwKUQmJ6ejuXLl6O8vBzvvvtutwVTAIiKisIDDzyAvXv3Yv/+/fjd734HuVxunR8AbpRERORDpqjTMVmVBsBzgRC4uMTXsknSlao03Bg1GMGC8/9MbtYWIaeDI2o6YisgZ+tKUGao61S/RERE/sBru/WKooihQ4fi888/x7Fjx/Dggw9CqVR6azoAgFGjRuGjjz5CUVERFi5ciODgYK/Oh4iIbJuiTsf8uDEeXUoLXAyo8+PGYKo6HaPC++C+uLHoFaRyun1nAqqjZ2n57CkREQUCr4TT5ORkrFixAocPH8btt98OmcynTrRBSkoK3n77bRw9ehRz5871ufkRERG6LLC17jcuWIl748dgrLKv0+3dCaie3OSJiIjIX3llt97jx4/7xS64/fr1wyeffILm5mZvT4WIiLwkSJDj2siBSA+JwYbao9CbWzpss1lbBIgiJkSkdliXwZSIiOgir9wS9Idg2pq/zZeIiDxvYGgcHoi/HKmKKKfqb64/iWxtscM6DKZERESXcL0qERGRk9TyEPwudjSmRqRDgNBh/e26EnxXW2jzNQZTIiIiKYZTIiIiF8gEAVdGpGFeXBYi5R2vrMltPIePqw7ALJqt1xhMiYiI2mM4JSIickOyIhL3x1+OwaHxHdYtMdTg7Yoc1Br1DKZERER2eGVDJCIiop4gTBaM26IzcaDxHH7QnoCx1d3RturMzXirMsfmawymREREvHNKRETUKYIgIEuZhPvixiI+yPXzuhlMiYiILmI4JSIi8oD4YCUWxF+Gy8KTnG4zWZXGYEpERPR/GE6JiIg8JFiQ47qoQZgTPRyhQsdPzhzUl6PcoO2GmREREfk+rzxzKpfL210TBAFGo9Gpul3B3vhERESuGhwWj0RFBD6q2o9aU5PdelpTM1ZU7cfMqEEYGZ7YjTMkIiLyPV4Jp6IodkldIiIiX3FEX+kwmFqYYMaG2qM4Z9DiN5EDIBe4qImIiAKT13brFYRLh5d3FEBb1+0KDMBERORJ9o6LcWRf41lUGHW4LToTKifOTyUiIuppvPb1rCiK1h9X6nbFDxERkafYC6YTVanoFaRy2LbMUIf/XtiLM4a6rpoeERGRz/LKndPnn3++S+oSERF5k71gajku5kpVGr6tK0S+vsJuH/VmAz6s2o/rIgciS+n8zr9ERET+juGUiIjIAzoKpgAQLJPj5qihSAyOwE8Olv2aIWJj3TGUt9RjRuRABPE5VCIiCgD8146IiKiTnAmmFoIgYLwqBb+PHY3gDkLn/sZz+KhqP7SmZo/Ol4iIyBcxnBIREXWCK8G0tbSQaDwcPx4RMsebH51t0eK/F/aitLm2s1MlIiLyaQynREREbnI3mFpEBoViUa/xSAyKcFivwWzAx9UHsLfhDDfyIyKiHovhlIiIyA2dDaYWwYIcC+Ivw+DQOIf1zBDxfd1xbKg9ihbR5PJ8iYiIfB3DKRERkYvKDHUeCaYWgiBgTswIXBbe8e68h/Xn8WHVftQZm1weh4iIyJcFRDhtaWlBYWEhdu/ejeLiYphM/MaZiIjcl6yIxGRVmuSau8G0teuiBuHKNv3aUt5Sj/9W7UVJc02nxiMiIvIlPTqcFhUVYe7cuYiJicGwYcNwxRVXYMCAAUhISMDChQtRWVnp7SkSEZGfmqJOtwZUTwRTi6nqdEyL6N9hvUZzCz6pPohdulKIoogyQ51Hxm+rq/olIiJqyyvnnLri7NmzmDNnjrUcEhKCTZs2ITQ01GG7H3/8EbfddhsaGhrabR5RU1ODd999F6tXr8a6deswceLELpk7ERH1bFPU6UgPjUWyItKj/U6MSEVKSBSqWhqwqe4YTLC9CZIIET9pi3CwsRwXjA0eDcnApedqJ6vSMEWd7rF+iYiIbPH5O6erV6/Grl27sHv3buzevRtJSUkdBtOSkhL89re/hU6ngyiKEASh3Y8oiqiqqsJNN92EY8eOddO7ISKinsbTwbR1v6OVfTAvLqvD42YuGBsAAJu1RcjRlXpk/NYbPmXrSrBdW+yRfomIiOzx+XC6ceNGALDe/bznnns6bPP0009Dq9Vag6ilveUHgPV6TU0NHnzwwa6YOhERUaclKSJxX/xYpDgZgj0RUG3tRJytK+ESXyIi6lI+HU5FUcSePXusQVKpVGLy5MkO2xw/fhxr166VhFKVSoXHH38c//73v/H8888jJSXFekcVAH755Rd89913XftmiIiI3KSSK/C72NG4XNnXqfqbtUXIqT/t1liOjsjpqrvEREREgI8/c3ry5EnJHdAJEyYgODjYYZtPP/3UGjxFUUR0dDRycnIwcOBAa50nnngC06dPR25urvXahx9+iOuvv77L3gsREVFnyAUZZkQORGJwBDbWHoMRZof1N9efhBEiroxIc3oMT53dSkRE5A6fvnN66tQpSTkzM7PDNqtXr7YGU0EQsGTJEkkwBQC1Wo0VK1YAgLXuxo0bYTY7/oeeiIjI20aEJ2J+3BhEyh0/hwoA2+qLscVG2LSFwZSIiLzNp8NpWVkZgEvPm2ZkZDisX1lZiaNHj1rLQUFBWLBggc26w4YNw8SJE6196/V6FBYWemLaREREXSpREYH74sainyK6w7o7daXYUHPUYR0GUyIi8gU+HU61Wq2krFarHdbPzs62/lkQBEyaNAnR0fb/4b7yyisl5YKCAjdmSURE1P3C5QrcGTsSE5Qdh8dD+nJ8Wn2w3dFqAIMpERH5Dp8Op42NjZJyeHi4w/q7d+8GcOlO64wZMxzWb3sntqqqytUpEhEReY1MkGF6ZAZuiR6GYMHxP+nFzRr8+8JuNJmN1msMpkRE5Et8OpzK5XJJuampyWH9Xbt2ScqTJk1yWN9yJ9aya299fb2rUyQiIvK6zLBeuCfuMkTLHZ8DXmVsxNsVObjQ0sBgSkREPsenw2nbZbwVFRV26zY1NWHv3r3WoKlQKDB27FiH/RuNRkmZGyIREZG/6hWswoL4segfEuOwnl5swb8v7GYwJSIin+PT4TQ+Ph7ApTubR44csVv3559/hsFgsNYfNWpUh8fO1NbWAri0DFipVHZ2ykRERF4TJgvGHTEjMVGV6nJbBlMiIvI2nw6nw4cPt/5ZFEX8+OOPduuuWrXKWg8AJk+e3GH/be/ExsQ4/raZiIjI18kEAdPU/XFbdCYUgrzjBgCujujPYEpERF7n0+F0wIABiIyMtJbLysrw0Ucftat35swZrFq1ynqHFQCmT5/eYf+HDh2SlNPS0tyfLBERkQ8ZEpaAe+MuQ4zc8WaCAFBiqEGz2dhhPSIioq7k0+FUJpPh1ltvhSiKEAQBoihi0aJF+OSTT6zPhxYXF2P27NmSzZLi4uJw9dVXd9j/gQMHJIG2o3NUiYiI/El8sBIL4i9DXAcB9WSzBiurclFncrzxIBERUVfy6XAKAAsXLoRMdnGagiCgoaEB8+bNg1qtRlJSEgYOHIjc3FxreBUEAffff7+1jT3Hjh1DSUmJtZyUlIRevXp15VshIiLqdgcaz6HK1NhhvUpjAz64sA/lBu5cT0RE3uHz4TQrKwsLFiywPktqCaGNjY0oLy+H2WyWHCoeFxeHp556qsN+165da/2zIAiYMGGC5ydPRETkRfaOi7FHZzbgw+pcHG/iud9ERNT9fD6cAsBbb72FadOmSQJq2x9RFBESEoLPP/8cUVFRHfb52WefWdsBwFVXXdWVb4GIiKhb2QumY8L7IEwIstuuRTTjS81h7NGVdeX0iIiI2vGLcKpQKLBp0yY8//zzUCqVEEWx3c/o0aOxbds2TJs2rcP+Nm/ejIKCAsm1mTNndtX0iYiIupW9YDpdnYHrowbjnvjLECMPc9jHD9oT+L7uOMytVicRERF1JftfnfqY4OBgPP/88/jjH/+ILVu2oLi4GPX19YiNjcW4ceMwcuRIp/vKz8/HrFmzrOXevXsjOTm5K6ZNRETUrRwFU8txMbFB4bgnbgxW1eShzFBnt6+9DWdQa9RjdvQwKGR+85GBiIj8lCCK/EqUqDMKCgqQmZlpLefn52PYsGFenBERBSpngmlrRtGEDbVHUaCvdNhv72AV7ogZiQh5iMfmSkREHQu0z5l+sayXiIiIHHM1mAJAkCDHLVHDMEmV6rDv8y06fHBhH863cCdfIiLqOgynREREfs6dYGohCAKuUvfHjVGDITiopzU348Oq/Shqqu7kbImIiGxjOCUiIvJjnQmmrY0K74O7YkdB7uCjgUE04QvNYeQ2nHVrrkRERI4wnBIREfmpMkOdR4KpRb+QGNwfPxahDo6aESHiu7pj+KnuBLhtBREReZJfb73X0tKCPXv2YNeuXcjNzUVlZSVqa2tRX1+PiIgIREVFISEhAWPGjMH48eNx+eWXIzg42NvTJiIi8ohkRSQmq9KQrSuxXnM3mFrEByvxcMJ4vH9hL7TmZrv1djWUocbUhFuihiJYJnd7PCIiIgu/DKenTp3C8uXLsWLFCmg0Gslrrb/FFYSLT898+eWXAICYmBjce++9eOihh9CvX7/um7AfamlpweHDh3HkyBHU1NSgvr4e4eHhiIqKwoABA5CVlYXw8HCPjqnRaJCTk4OTJ0+ivr4eISEh6NOnD0aPHo0hQ4Z4dCwiop5iijodAJCtK+l0MLVQyRVYmDAe71ftwwVjg916x5ou4KPq/bg9ZgRU3MmXiIg6ya+OkjGZTPjb3/6Gl19+GS0tLTaXE1kCKQC7rwcHB+PPf/4zlixZArmc3/a2lp2djWXLlmH9+vVoamqyW08ul+Oqq67CAw88gNtuu03y9+6qHTt24OWXX8ZPP/0Ek8lks05GRgYeffRRPPzwwz539zvQtvgmIt9UZqhDsiLSo32Kooiva48gX1/hsF6kPBR3xIxAQrDKo+MTEQW6QPuc6TfhtKamBjNmzEBubq41dLoTiFq3veyyy/D9998jOjrao3P1RxqNBo8++ig+++wzl9tOnDgRK1aswIABA1xq19LSgieeeALvvPOO022GDx+ONWvWuDxWVwq0XxpEFHj2N5zFd3XHIcL+R4YQIQhTIvphnCrZ4+N3RfAmIvIHgfY50y82RKqursa0adOwb98+iKIIQRCswVQURetPcHAwYmNjkZKSgtjYWAQHB0teB2BtK4oi9u7di6uvvrrd0uBAU11djauuusqtYAoAv/76KyZOnIgjR4443cZoNGLOnDkuBVMAyMvLw8SJE3H06FFXp0lERG7KUiZhbswIKAT7q42aRSN+1J7AGk2eR8fO0ZViZVUutmuLPdovERH5Hr8Ip/fddx8OHTrULpSGhoZi7ty5+Oqrr3Dy5Ek0NTWhsrISp06dQmVlJZqamlBcXIyvvvoKc+fORVhYWLu7rocOHcJ9993ntffmC+644w4cPnxYci00NBQPP/wwfvjhB5w9exb19fUoLy/Hzz//jMWLF0OtVkvqX7hwATfccAP0er1TYy5ZsgTr16+XXIuLi8OLL76IgwcPQqPR4MSJE/j8889x+eWXtxvrxhtvhFardePdEhGRO/qHxmJ+3BioO3i29EjTBXxcdcAjO/m2PiYnW1fCgEpE1MP5/LLer7/+GrNnz273LOn8+fPxj3/8A/Hx8U73VVVVhWeffRYrVqyQhFxBELB27VrMmjXL4/P3devWrcPs2bMl11JSUrBp0yYMHTrUbrvS0lLccMMNyMuTfkO+dOlS/M///I/DMQ8dOoTRo0dLPrgMGzYMP/zwA5KSktrVF0URTz75JN544w3J9cWLF+PVV191OFZ3CLTlFkQU2OpNzfhScxjlLfUO6/UKUuGe+DEIdnC31RF757fOjxvDJb5EFDAC7XOmz985ff31161/FkURMpkMy5cvxwcffOBSMAUu3pl7//338e6777YLu6+99prH5uxPPvzwQ0lZJpPh66+/dhhMgYsBduPGjVAqlZLrn3zySYdjPvfcc5JgGhERgU2bNtkMpsDFu9yvv/56uy8Pli1bhnPnznU4HhEReU6EPAR3x2ZhYGicw3oVRh2WV+xCg8ng8hj2gul0dQaDKRFRD+bT4bS8vBy//vqr9RlRQRDwzDPP4MEHH+xUv/fffz+effZZa5/Axecmy8vLPTFtv7JlyxZJ+dprr8Xo0aOdapucnIy7775bcq2wsBAVFfZ3dTx48CC++eYbybWXXnoJyckdb6CxfPlyhIWFWct6vR7//Oc/nZorERF5jkImx5zo4RindPy7u87cjOWVu1Dl4DiathwFU08ck0NERL7Lp8Pp3r17YTabreX4+Hg8//zzHun7+eefR0JCgrUsiiL27Nnjkb79RV1dHXQ6neTa5MmTXerDVn1HdzNXrVolKSuVSixYsMCpsRITE3HrrbdKrq1evdqptkRE5FkyQcBvIgfg2siBcLR3vl404r3KvTjdXNNhnwymRESBzafDaeuQIwgCZs+eDYVC4ZG+FQoFZs+eLVleGmh3Thsa2n+THRMT41IfsbGx7a4ZDPaXcLXdBGn27NmIiIhwerz58+dLymfOnEFubq7T7YmIyLPGKvvitzEjHD5baoQZH1cfwOFG+//OMpgSEZFPh1PLES+WADl8+HCP9j9ixAgAl3buDbQjZWJjYyGTSf8vUFPT8Tfbrdn6O+vdu7fNuqWlpe2Om5k6dapL411xxRUIDg6WXNu4caNLfRARkWcNDI3DvLgsRMjsf4EsAlhfexTbtcXtdvJlMCUiIsDHw2nbzXbi4hxvvuCqtnf92o7X04WEhEh2/wKAHTt2uNRH2/pJSUlITU21WbftcTUAMHHiRJfGCwsLQ1ZWluRa2x2DiYio+yUGR+De+MvQK0jlsF62rgTra4/AKF58bIfBlIiILHw6nPbr109Srqqq8mj/1dXVAC7dmU1LS/No//5g7ty5kvJ3333ndNgrLy/HypUrJdccPT9aWFgoKQcFBWHAgAHOTbSVIUOGOOyXiIi8Qy0Pxby4LGSEtH/ko7U8fQU+rT6I7PpTDKZERGTl0+F07NixAC4tu7V1560z2vZnGS+QLFy4ULJTrslkws0334yiovYfFlorLy/HDTfcINlQqV+/fnj66afttjl69KiknJSU1G5ZsTPa7ux74sQJmEwml/shIiLPC5EF4faY4bgs3PbxYBalhlpsrz/V7jqDKRFR4PLpcJqYmIgJEyYAuHh3c+3atQ4323GFwWDAmjVrIAgCBEHA2LFj0adPH4/07U/UajW++uorqFSXlmEVFxdj1KhRePLJJ/HLL7+gpqYGRqMRdXV12L17N5577jlkZmZi//791ja9e/fGxo0bJf201XYXX2eOj7ElJUX6oaW5udl6F5yIiLxPJshwbeRAXKPOcKkdgykRUWAL8vYEOvL0009j9uzZEAQBVVVVePHFF/Hyyy93ut+XXnoJFy5cAADr+amBaty4cdixYwfuuusuFBQUALi4k+/rr7+O119/3WFbQRBw66234u2330avXr0c1m17bI1arXZrvrba6XQ6ydFA7qqsrLT+/8JZHd1lJiIKRIIgYLwqBVHyMKyrLbA+Y2rPZeFJDKZERAHO58PpzTffjFtuuQXr1q2DIAh45ZVXkJaWhvvvv9/tPt9//338/e9/ty4XnjVrFmbPnu2pKfulkSNH4tChQ/jiiy+wYsUKbNmypcM2V199Nd58800MGzbMqTHahtOwsDC35mqrXdu+3bVs2TK8+OKLHumLiIiAwWHxmCfPwheaw2gw21/9dFBfjozQWAwI9ezmh0RE5D98elmvxSeffIJJkyZBFEWYTCY89NBDuO+++1zeIKm6uhr3338/HnjgAZjNZoiiiIkTJ+KTTz7popn7l+PHj+Pnn3/GgQMHnKq/ZcsWXH311XjllVfQ1NTUYf2256qGhoa6Nc+uDKdEROR5fRRqjApPdFjHKJqxSpOHvMbz3TQrIiLyNX4RTsPCwrB582YsWrQIgiBAFEWsWLECaWlpuOuuu/DVV1+huLjYZttTp05h9erV+N3vfofU1FR88MEHEEURMpkMixYtwpYtWxAeHt7N78i3GI1GLFmyBJmZmfjggw+sZ5cGBwdjwoQJWLBgAZ588kncf//9mDp1qiRUVlRU4Nlnn8Xll1+OkydPeustEBGRD8vRleJX3ekO65kh4uvaI9jbcKYbZkVERL7G55f1pqenS8oKhQIGgwGiKKKxsRFffPEFvvjiCwAXjyaJiIiAUqlEQ0MD6uvrYTQarW0tR8YIggCFQoGNGzdi48aNLs1HEIQeFcJMJhPuvPNOfPXVV9ZrgiDg0UcfxZ/+9Cebz5HW1tbi9ddfx9/+9jfr329eXh6mTZuGnTt3IinJ9g6Nbc+RdeZuqy16vb7dNUcbMbli4cKFmDNnjkttioqKcPPNN3tkfCKinsbeOaaOfF93HHpzC65UpVkfwSEiop7P58NpSUmJ9W6p5R+otn+2aGlpgUajsd75a6t1m+bmZpw+fVrS3hk97R/JV155pV0w/fjjj3HXXXfZbRMVFYUXX3wRV155JWbOnGndQbm0tBT33XcfNm3aZLNd2wBpK2Q6oyvDaUJCgkc2ViIiIvvB9OqI/qgyNuCQ3v4S3u31p6A3t+A36gE97t9eIiKyzS+W9QLSUNj2z87+eKp9T1FVVYW//vWvkmuLFi1yGExbmz59erv233//PX755Reb9dsGSK1W68JsHbfzVDglIiLPsBdMp6szcEVEKm6MGoLxSsdHiu1pOIP1tUdg6mCnXyIi6hn8IpyKougTPz3NJ598IrkLKQgClixZ4lIfjz76KCIjIyXXPvzwQ5t1254jW1ZW5tJY9tqFhIQgNjbWrb6IiMjzHAVTy3ExgiBgujoDV0Wkt6vXWp6+Al9p8tAimrpkrkRE5Dt8flnvvHnzvD2FHmvbtm2S8siRI9sFyI6EhYVhypQp2LBhg/Xazp07bdYdPHiwpHz27FmYzWbIZK59R1JaWiopDxgwAHK53KU+iIioazgTTC0EQcCkiDSEyYLxXd0xu32eaK7GZ9UHcXvMSITKfP6jCxERucnnf8OvWLHC21PosUpKSiTlfv36udVP23Znz561WW/IkCGSstFoxIkTJzBo0CCXxissLJSU24ZeIiLyDleCaWtjlEkIlQVhXU0B7K1TKjXU4aOq/bgzdhRUcoWHZkxERL7EL5b1UtdobGyUlG2dH+qMtkfxNDc326w3YsSIdtfs3WW1R6/XY//+/ZJrw4cPd6kPIiLyPHeDqcWwsF6YGzMSMtjf46HCqMOHVbmoNbq3oR4REfk2htMAFh0dLSlXVVW51c+FCxckZXvPf6akpGDo0KGSa22XFnckJyfHujuwxcyZM13qg4iIPKuzwdSif2gs5sVlIcjBxxONSY+VVbmobNG5NVciIvJdDKcBrHfv3pLyvn37YDa7viPirl27JOXExES7dWfNmiUpr127Fjqd8x8w2m621LdvX4wZM8bp9kRE5FllhjqPBFOLvopILIi/DArB/l4C9WYDPqraj7OGOpf7JyIi38VwGsCuuOIKSVmj0eDbb791qY/c3Fzk5+dLrk2ePNlu/Tlz5kjKOp0OH3zwgVNjnT9/XnImKwDcdtttTs6UiIi6QrIiEpNVaZJr7gZTi4RgFR6Ivxxhgv2tMfSiER9XH0Rxk+2zzYmIyP8wnAaw66+/vt21p59+GnV1zn0T3dzcjEWLFjnVr8Xo0aNxww03SK795S9/sbuJUmsLFy6UHH0TGhqKp59+2qm5EhFR15miTrcG1M4GU4vooDA8lDAOKpn9zY9aRBM+1xzCEX1lp8cjIiLvYzgNYMOHD8d1110nuXb8+HFcd911OHfunMO2Go0GN998M3bv3i25Pm7cOEyfPt1h26VLl0IQLm14UVdX53BMURSxePFirFu3TnJ90aJFLh99Q0REXWOKOh3z48Z4JJhaqOQheDhhHBKClHbrmCFiTU0+9jd0/CUnERH5NobTAPfPf/4TSqX0H/2cnBwMGjQIjz/+ODZv3oyzZ89Cp9OhvLwc27dvx5IlS5CRkYHvv/9e0i4kJARvvPFGh2OOHDkSTz75pORaXl4eRo0ahaVLl+Lw4cOoqanByZMnsWrVKkyYMAGvvfaapH7//v3xl7/8xb03TUREXSJZEenxPkNlwbg37jJkhNjebM9iY90x/FpfAlG0dxgNERH5OkH0wm/xuXPn4u9//ztSU1O7e2iXiKKIFStWwGw247777vP2dLrMpk2bMGvWLLS0tLjdh1wux6efforbb7/dqfpGoxGzZ8/GN9984/JYcXFx2L59e7udf72loKAAmZmZ1nJ+fj6GDRvmxRkREfU8JtGMDbVHka+vcFhvgjIFV6v7S1boEBH5q0D7nOmVO6dffvklBg8ejMWLF6Oy0jefE9mwYQNGjhyJ+++/v8Mlrv7uuuuuw86dOzFo0CC32qelpWH79u1OB1MACAoKwpo1a/Dwww+7NNawYcOwc+dOnwmmRETUPeSCDDdHDcVYZV+H9XIaSvGl5jDMouu7z3ekjLsDExF1Ka8t6zUYDHjjjTeQlpaGRx55BKdPn/bWVKxMJhM+/fRTjBgxArfccku7XWh7sssuuwyHDx/Gxx9/jEmTJiEoyP4OiQAgk8kwduxY/Pe//8WRI0cwceJEl8cMDg7GsmXLkJ2djRkzZkAms/9/x/T0dLzxxhs4cOAABgwY4PJYRETk/wRBwAz1AEyO6Oew3onmavznwl4YRZPHxs7RlWJlVS62a4s91icREUl5ZVmvTCazLrcRRRGCIEAmk+H666/Hgw8+iOuuu65bl+OUlpbivffewwcffIDz589bn1exzOGFF17Ac889123z8QWNjY3Izc3FyZMnUVtbC51OB6VSiaioKKSmpmLs2LGIiIjw6JjV1dXIycnByZMnUV9fD4VCgT59+iArK8un75QG2nILIiJfsEdXhh+0JxzWiZaH4f74sQiROf7CtSM5ulLJWa6TVWmYok7vVJ9ERM4ItM+ZXgmnP/30Ex599FEcP368XUgFgN69e2P27Nm47bbbMHny5C4JqmfOnMGaNWuwZs0a7Ny5E6IoSkKpKIqQy+VYuHAh/vrXv0KtVnt8DtQzBNovDSIiX5HXeB7ra49ChP2PMhGyENwfPxZKuf0jaRxpG0wt5seN6ZINoIiIWgu0z5leCacA0NLSgn/961/4f//v/6G+vl4SUoFLdy3VajUmTZqEqVOn4rLLLsOIESMQHR3t0lgmkwmFhYU4dOgQfvnlF2zduhUnTlz6trVtKAWAyZMn43//938xYsSITr9X6tkC7ZcGEZEvOdFUhdWafBhh/xnTcFkw7osfi0h5qEt92wumnjrLlYioI4H2OdNr4dRCo9Hgb3/7G5YtW4ampqZ2IRVAuzunvXv3RmpqKpKSktC7d28olUqEhYVBLpejqakJer0eGo0GZ86cwZkzZ3Dq1CnJTrS2+rZcy8rKwtKlS3Httdd22XumniXQfmkQEfma0uZafKE5hGYHz5iGCHLcG38Z4hycmdoagykR+YJA+5zp9XBqUV5ejjfeeAPvvfceamtrJYHU1hSdXerbUdvWd0oXL16MG2+80dWpU4ALtF8aRES+6HxLPT6rPogGs/1j0YIFGebFZiFR4fhRHQZTIvIVgfY502u79baVmJiIf/zjHygrK8Nbb72F0aNHt3sOtPUPAOvrjn7atrMs3RVFEREREViwYAH27t2Lbdu2MZgSERH5qd7BEZgXN8bh0t0W0YwVVbkoaa6xW4fBlIjIe3wmnFoolUosWrQI+/btQ35+Pv785z9j9OjRAKRhFGgfWB0FUctPdHQ05s6diy+//BIVFRV47733MGbMGG++ZSIiIvKA2KBwzI8bg3gHS3dNEPFJ9UEU6i+0e43BlIjIu3xmWW9HKioqkJ2djb1792Lfvn04fvw4ysvLbS7btYiIiEC/fv0wYsQIjB07FuPHj8dll13WrcfUUM8XaMstiIh8nd7cgs+rD+Fsi9ZhvZuihmBkeCIABlMi8k2B9jmzcwd/daNevXphzpw5mDNnjvVaS0sLzp49C61Wi8bGRphMJoSFhUGpVCIhIcHlXX2JiIjI/4XJgvG72FH4qiYPxQ6W8G6oPQq9uQUiwGBKROQD/Cac2hIcHIy0tDRvT4OIiIh8jEIWhNtjRuLrmiM42lRpt95PNkIpwGBKROQNPvfMKREREZEnBAkyzI4ehqzwPi61YzAlIvIOhlMiIiLqsWSCgOsjB2GiKtWp+tMj+jOYEhF5CcMpERER9WiCIGCauj+mqzM6rFtranK42SIREXUdhlMiIiIKCBNUKRgaGu+wzr7Gs9hUd5wBlYjICxhOiYiIKCDk6EpxpKn9+aZt5TaexXd1xxhQiYi6GcMpERER9Xj2zjG1Z3/jOWysK2RAJSLqRgynRERE1KPZC6YjwxIhh2C33YHGcnxTWwgzAyoRUbdgOCUiIqIey14wna7OwE3RQzAnZjjkDj4OHdKX45vaowyoRETdgOGUiIiIeiRHwdRyXMyA0Djc3kFAPaw/jw21RxhQiYi6GMMpERER9TjOBFOL/qGxuCNmBIIcfCzK01fg69ojMItmj8+ViIguYjglIiKiHsWVYGqRHhqDO2JHIEiw/9GoQF+BdTUMqEREXYXhlIiIiHoMd4KpRb+QGMyNGYlgBwH1SFMl1tYcgYkBlYjI4xhOiYiIqEfoTDC1SAuJ/r+AKrdb52hTJdbWFDCgEhF5GMMpERER+b0yQ12ng6lFakg07owZCYWDgFrYdAFravIZUImIPIjhlIiIiPxesiISk1VpkmvuBFOLlJCoDgPqsaYqrK7Jh5EBlYjIIxhOiYiIqEeYok63BtTOBFOL5JAo3Bk7ymFAPd5UhdWaPAZUIiIPYDglIiKiHmOKOh3z48Z0OphaJCsicVfsKIQ4CKgnmqvxlSYPRtHkkTGJiAIVwykRERH1KMmKSI/211cRibtiRyNECLJbp6i5Gqs0eWhhQCUichvDKREREVEHkhRq/C52FEIdBNSTzRqs0hxGi5kBlYjIHQynRERERE7oo1Djd7GjHQbU4uYafMmASkTkFoZTIiIiIiclKiLw+7jRCJMF261zylCDLzSHYGBAJSJyid+G06qqKnz88cdYsGABsrKykJKSAqVSCblcjqAg+99oEhEREXVG7+AI/D52NMIdBNQSQ+3/BVSjR8cuM9R5tD8iIl/id+H03LlzeOSRR5Camor58+dj5cqVOHjwIM6cOQO9Xg9RFCGKosM+7rrrLqjVauvPkiVLumn2RERE1BP0ClZ1GFBPG2rxueYQmj0UUHN0pVhZlYvt2mKP9EdE5Gv8Kpxu2rQJI0aMwPLlyyVBVBAE648zFi1aBJ1OZ/1ZuXIlzGaeT0ZERETOS/i/gKp0EFBLDXUeCag5ulJs1hYBALJ1JQyoRNQj+U04XbFiBW688UZoNBpJIAXg1N3S1q644gqMGzfO2r6yshI//fRTl8ybiIiIeq6LATULKpnCbp0yQx0+qz6IJjcDautgapGtK+ESXyLqcfwinGZnZ+Ohhx6C2Wy2hlJRFKFSqXDTTTfhscceQ69evVzqc+7cudaQCwDff/99V0ydiIiIerj4YCV+HzfaYUA906J1K6DaCqYAMF2d4fHzXImIvM3nw6nRaMQ999yDlpYWaygNCgrC0qVLUVFRga+//hqvv/46evfu7VK/t956q+TO6+bNm7ti+kRERBQA4oKUuDsuCxEOAurZFi0+rT6AJnOLU306CqYTVCluz5WIyFf5fDj94IMPcOrUKWswVSgU+Pbbb/GnP/0JoaGhbveblJSEAQMGWMtHjhxBY2OjJ6ZMREREASg2KBx3x2VBLQuxW+dcSz0+qT4IfQcBlcGUiAKRz4fT//73vwBgXYL70ksv4ZprrvFI32PGjJE8q1pYWOiRfomIiCgwxQSF4/dxo6GW2w+o5R0EVAZTIgpUPh1Oa2pqsH//fuvy2/j4eDz22GMe6z8zM1NSPnHihMf6JiIiosAUExSOu2OzEOkgoJ5vqcfHVQfQ2CagMpgSUSDz6XC6a9cu6xEvgiDg+uuvR0iI/V/0roqNjZWUa2pqPNY3ERERBa7ooDDcHZuFKLn9R5AqjDp8XHUADSYDAAZTIiKfDqcVFRUAYF16O3bsWI/2HxUVBQDWO7P19fUe7Z+IiIgCV1RQGH4fO9phQK006vBx9QFs1xYzmBJRwPPpcHrhwgVJOS4uzqP9W+7K2isTERERdUZUUBjujstCtDzMbp0LxgZk60raXWcwJaJA49PhVCaTTs9odO/wanuqq6sBXLozGxMT49H+iYiIiCLlobg7bjRiHATUthhMiSgQ+XQ4TUhIkJQ1Go1H+2+7AVLbZ1CJiIiIPEEtD8XdcVmIkYd3WHdqRD8GUyIKSD4dTuPj4wFceib08OHDHu1/+/bt1r4BIDU11aP9ExEREVlEyENwd9xoxAY5DqhFTRoYzKZumhURke/w6XCalZVlDY+iKGLr1q0e6zsvLw+HDh2yliMiIjB69GiP9U9ERETUVoQ8BMNCExzWOdNSh1WawzCKDKhEFFh8OpwmJCRg1KhR1vLJkyfx888/e6TvF1980fpnQRAwadKkds+4EhEREXlSjq7U5uZHbZ0y1GC1pgAmkZs1ElHg8Pk0dtNNN0EURQiCAFEU8fjjj3d6Y6T//Oc/WLt2rbVPAPjd737niekSERER2WTvHFN7TjRX4euaIzD/32cVIqKezufD6WOPPWY9jxQACgoKcMcdd8Bkcm+py5tvvolHH31U8qxpeno6br/99s5OlYiIiMgme8F0oioValmI3XZHmiqxsa7Q+mU6EVFP5vPhNCoqCs8884zk7um6detw+eWXY8eOHU71IYoifvjhB0ydOhVPPvkkWlparNcFQcBLL70kCatEREREnmIvmE5XZ2Cauj9+FzcaSpnCbvuDjeX4UXuCAZWIerwgb0/AGc888wx++eUXbNq0yRpQDxw4gClTpmDAgAG44oorcP78eckv7T/96U/QaDQ4ffo0du7cCZ1OB+BSIAUuPmt67733Yu7cuV55X0RERNSzOQqmluNiYoPCcVfsKHxUtR9Nou1Hl/Y0nEGwIMc0df8unS8RkTcJop98DafT6TBlyhQcOHBAsoMvgHbl1tfsXRdFEZMnT8aPP/4IhcL+t5VEHSkoKEBmZqa1nJ+fj2HDhnlxRkRE5AucCaatnTVo8Un1ARgc7NJ7VUQ6JkWkeXKaROTDAu1zps8v67VQqVTYsWMH7r77bkkotdxJbZuxLdcsd0rb1r3nnnvw008/MZgSERGRx7kaTAEgSaHGHTEjECTY/3i2tb4Ye3RlHpsnEZEv8ZtwCgBhYWFYuXIlvvjiCwwdOtRm+LT1A1wKqxkZGfj000/x/vvvIzg42MvviIiIiHoad4KpRWpINH4bPRwy2N8L4wftCRxsPNfpeRIR+Rq/CqcWv/3tb5GXl4dvvvkG8+bNQ2pqquROaduf6OhozJkzB5988gmOHj3KZ0yJiIioS3QmmFr0D43FrdGZEBwE1G9qC1Ggr3B7nkREvsgvNkSyZ+bMmZg5cyYAoLy8HGfOnEF1dTVqamoQFhaGuLg49OrVCxkZGdyNl4iIiLpUmaGu08HUYnBYPG4Sh2B97RG7ddbVFCBYkGNgaJzLcyUi8kV+HU5bS0xMRGJiorenQURERAEqWRGJyao0ZOtKrNfcCaYWI8J7o0U04bu6YzZfFwGs1uRjbuwI9AuJcWsMIiJf4tPLetevX4/09HTrz/Dhw2EwGLw9LSIiIiKbpqjTMVmVBqBzwdRijDIJ09UZdl83wYwvNXk4Y6jr1DhERL7Ap++cFhUVoaSkBMDFnXnvuusu7q5LREREPm2KOh3pobFIVkR6pL8JqhQYzEbJHdnWWkQTPqs+hN/HjUZicIRHxiQi8gafvnPa1NQkKY8ePdpLMyEiIiJynqeCqcXkiH4Yr0y2+3qzaMRn1QdxoaXBo+MSEXUnnw6n4eHhknJSUpKXZkJERETkPYIgYLo6A1nhfezWaTS34NPqA6gx6rtxZkREnuPT4bRPH+kvYL2ev2yJiIgoMAmCgOsjB2F4WC+7derNBnxSfQBaU5PdOkREvsqnw2lmZiYAWI+BOXPmjDenQ0RERORVgiDgpqghGBQab7dOrakJn1QfRIOJm0gSkX/x6XA6bNgw9O7d21resmWLF2dDRERE5H0yQYbZ0cPQ38HxMdXGRnxSfRB6c0s3zoyIqHN8OpwCwPz58yGKIkRRxI4dO3DsmO2zvoiIiIgCRZAgw5zo4UhxsPFSpVGHz6oPodls7MaZERG5z+fD6VNPPYWYmBgIggCTyYRFixbBZDJ5e1pEREREXhUsk+OOmJHo4+D4mHMtWnypOYwWMz87EZHv8/lwGhMTg5UrV1qfO926dSvmzp2LxsZGL8+MiIiIyLtCZEG4M3YUEoKUduucNtRidU0+TKLZY+OWGeo81hcRkYXPh1MAuOGGG/Dpp59CoVAAANasWYPhw4fj008/RXNzs5dnR0REROQ9YbJg3BU7GjHyMLt1ipqrsbamAGYPBNQcXSlWVuViu7a4030REbUmiKIoensSjnz00UfWP+fl5eGNN96A2WyGKIoQBAFqtRrjxo1DVlYWEhISoFarERQU5NZYd999t6emTQGkoKDAurM0AOTn52PYsGFenBEREQWiOlMTPqzajzoHx8gMD+uNWVFDrCvSXJWjK8VmbZG1PFmVhinqdLf6IqKOBdrnTJ8PpzKZzO4vUMvU3f0F2xafZSV3BNovDSIi8l0aYyM+uLAPetH+JkhjwpNwXeRAlz8/tQ2mFvPjxiDZwcZMROS+QPuc6RfLegFYd+y1/AAXQ6kgCO1ec+eHiIiIyN/FBIXj7rgsBAn2P+LlNp7FFu1Jlz7/2Aum09UZDKZE5DF+E04tQdTy4+g1V3+IiIiIeoqEYBXmx2ZBDvufcXIaSvGLrsSp/hwF0wmqFHenSUTUjl+EU0/cGeVdUyIiIgoUiQo1fh87GjIHAXV7/Sns0pU67IfBlIi6k3s7B3WjU6dOeXsKRERERH4nOSQKc2NH4rPqg7D3VfxP2iIoBDmylEntXmMwJaLu5vPhNDU11dtTICIiIvJL6SExmBMzHKs0eXbrbKw7hmBBjuHhva3XGEyJyBv8YlkvEREREblnUGg8boka6rDO+tqjKNRfAMBgSkTe4/N3TomIiIioczLDe6NFNOPbukKbr4sQsbYmHyOaeuOAvrzd6wymRNQdeOeUiIiIKACMVvbBb9QD7L5ugshgSkRexXBKREREFCDGqZIxNSLd6foMpkTUnRhOiYiIiALIJFUqrnAicE5SpTKYElG34jOn1CGdTod9+/bhxIkT0Gg0MBqNUCqVSEpKQkZGBjIzMxEcHOyRcXJycnD8+HHU1tYiODgYvXr1wogRIzBq1CgIgv2z2oiIiMg5giBgWkR/GMwm7Gs8a7deYVMVxqtSECbr/L/xRETOYDglm0RRxPr167F8+XJs3boVLS0tduuGhoZi3LhxuP766/Hggw8iMjLSpbHy8vKwdOlSfP311zAYDDbr9OnTBw8++CAWL14MpVLpUv9EREQkJQgCouShDutUGRvwpeYw7oodhWBB3k0zI6JAJoiiaO9cZp+Qnu78cxGdIQgCTp482S1j+bqjR4/innvuwe7du11um5OTg/HjxztVVxRFvPzyy3jxxRdhNBqdapOSkoKvvvoKl19+uctz6yoFBQXIzMy0lvPz8zFs2DAvzoiIiMgxe8fF2DIoNB63RWdCxhVMRN0u0D5n+vyd05KSEgiCgK7O0FwyetHXX3+NO++8E3q9vsvHeuSRR7Bs2TKX2pSWlmLq1Kn4/vvvMXny5C6aGRERUc/lSjAFgGNNF/B93XFcFzmQn5eIqEv5zYZIgiB02Q9dtG7dOtx2223tguk111yDZcuW4cCBAzh37hy0Wi1KS0uxbds2vPbaa5gxYwYUCoVLY73zzjvtgqlKpcLixYuxZ88eVFVV4dSpU9iwYQOuueYaST29Xo9bbrkFZWVl7r1RIiKiAGUvmE6J6IfYoHC77XIbz2KHrqQLZ0ZE5AfLemWyzudnWwG07dsWBAEmk6nTY/mro0ePYsyYMZJgOnjwYLz77rtO3aGsqanBBx98gBtuuAGDBg1yWLeiogLp6elobGy0XktKSsIPP/xgd5nCv/71Lzz99NOS/91uvfVWrF69usO5dbVAW25BRET+yV4wtRwXU2vUY0VVLnRm2/s/AMANkYMxWtmnK6dJRK0E2udMn1/WO2/ePLfbtrS0oLq6GkVFRdbnSS1LhMPCwnDrrbdCLucD/qIo4v7775cE0xEjRuDnn39GbGysU31ER0dj8eLFTtV9+eWXJcFULpdj/fr1Dv9DW7x4McrKyvDmm29ar61duxb79+9HVlaWU+MSEREFqo6CKQBEBYXhzthR+LAqF82i7S/sv60rhFKuwMDQuC6dLxEFJp+/c+op586dw7vvvou33noLtbW1EAQBkyZNwrp16xATE+Pt6XnV8uXLsXDhQms5IiICR48eRVJSksfHqqioQEpKimRX3sceewxvvPFGh20bGhowcOBAnDt3znrt5ptvxrp16zw+T1cE2jdaRETkX5wJpq2VNNfgs+qDMMH2R0QZBMyLy0JfhWu78xOR6wLtc6bfPHPaWX369MGLL76IgwcP4rLLLoMoitixYwemTJmC2tpab0/Pa8xmM/7+979Lrr3wwgtdEkwBYP369ZJgKggC/vCHPzjVVqlU4t5775Vc27RpE3Q6nUfnSERE1FO4GkwBIC0kGrOih9rt0wwRH1cdQFVLg8fmSUQEBFA4tUhJScGPP/6IQYMGQRRFHDlyBHPnzvX2tLzmhx9+QGlpqbWsVCrx4IMPdtl469evl5QnTZrk0nFB8+fPl5Sbm5vxww8/eGJqREREPYo7wdRiWFgvzFAPsPu6EWasqMpFvam50/MkIrIIuHAKAFFRUdadYkVRxI8//ogvvvjCy7Pyjv/+97+S8k033QSlUtklYxkMBmzZskVyberUqS710b9/f/Tt21dybePGjZ2dGhERUY/SmWBqcbkqGVeoUu2+3iQa8d8Le9Fkdu6sciKijgRkOAWAq666CqNHjwZwMaC+8sorXp5R9xNFEZs3b5Zcmz59epeNd/z4cTQ3S79hnThxosv9tG2Tl5fXqXkRERH1JGWGuk4HU4tpEekYEdbb7us6swEfVe2HUTS7PE8iorZ8frferjRjxgwcOHAAAHDo0CGcPn0aqan2vyHsaQoLC6HVaiXXRowYISnX1tZi+/btOHbsGOrr6xEVFYX4+HiMHj0aw4cPd3m8toYMGeLyvNu2OXbsmMt9EBER9VTJikhMVqUhu9W5pO4EU+Di3hA3RA1Gg9mAk80am3UqjDqsrzmC2dHDeH48EXVKQIfTjIwMSXnPnj0BFU737t3b7trQoRc3QDh37hyeffZZfPnll2hpabHZPjExEQsWLMBTTz2FyMiOd+w7evSopCyXy93aeCk5OVlSrq+vx9mzZ7tsEyciIiJ/M0V9cT+HbF2J28HUQi7IcFt0Jj6qPoDylnqbdY40VUKlVeA36gEMqETktoBd1gsAarUaAKy/RMvKyrw5nW7XNiyGhIQgPDwcq1evRmZmJj755BO7wRQAysvLsXTpUqSnpzu1KVHrI2CAi+HWnXNmU1La/wN79uxZl/shIiLqyaao0zE/bkyngqmFQhaEuTEjESMPs1tnT8MZ5OhK7b5ORNSRgL5zWlNTIym3fR6yp9NopMtzIiIisGHDBtx+++0wm51/dkSj0eCGG27A+++/j7vvvttuvbZHvli+HHCVrXaeOk6msrISFy5ccKlNUVH753qIiIh8QbIHzyJVyhW4M3YUVlTtQ4PZ9pfXW+pPQilXYGR4osfGJaLAEdDh1LKsVRRFCIKA6OhoL8+oe7U931Wv12Pu3LnWYBoaGoqFCxfitttuw6BBgxAeHo5z587h559/xuuvv44jR45Y2xqNRjzwwAPIzMxEVlaWzfHaBsiwMPvfvjpiq52nwumyZcvw4osveqQvIiKiniY6KAxzY0bho+r9MIgmm3W+rS2EUqZARmhsN8+OiPxdwC7rrampwerVqyXPRSQmBta3fHV1dZJyQ0MDGhsbAQCpqak4dOgQ/vWvf2HChAmIiYlBaGgo0tPTcd999+HQoUN46KGHJO2bm5vx+9//HqIo2hyvoUF6WHdoaKhb8+7KcEpERESOJSoiMCd6OGSw/WypGSJW1+TjnEFr83UiInsCMpyaTCbMmzdPcudQEARMmjTJe5PyAntLd8PDw/HTTz9h4MCBdtsGBQVh+fLluOWWWyTXjxw5gvXr13t0nkRERORb0kNjcFOU/R33W0QTPtccgsbY2I2zIiJ/F3DLerds2YI//vGP2L9/PwRBsC7pnTBhAmJjA2v5iUqlsnl9yZIlGDBggFN9LFu2DBs3boTBYLBe+89//oObb765XV2lUikpNzU1OT/ZVvR6fbtr9t6LqxYuXIg5c+a41KaoqMjm+yUiIurJhof3hs5ssHmmKgA0mlvwWfVBzI+7DCq5optnR0T+yOfD6UsvvdSp9i0tLdBqtSguLsa+fftQWVkJ4NJzphaB+JyhrUAnl8vxwAMPON1H7969MXv2bHzxxRfWa7/++itMJlO7nXjbjmcrZDqjK8NpQkICEhISPNIXERFRTzdBlQKdqRm7GmyfeFBjasLnmkO4O3Y0QmQ+/7GTiLzM539LvPDCCx47L6v1s5Ct+7z//vsxbdo0j4zhT2wFuszMTJfD2bRp0yThVKvV4siRIxg+fLjD8bRa955FsdXOU+GUiIiIXDNdnYF6swEF+gqbr59vqcfqmjzcETMSciEgnygjIif5zW8IURQ7/SMIgvXHcu2ee+7B8uXLvf32vKJv377trmVmZrrcj602FRXt/4Hq06ePpFxeXg6TyfZOf47YOo+2bd9ERETUPQRBwE1RQ9BPYf/Ug+LmGmyoPWp300QiIsCPwmnrYOnuT+ugOmTIEKxbtw7vv/++x+7M+pshQ9pvZODOcTq22rQ9QxUABg8eLCmbTCacPXvW5fFKS6UHfEdERNgM2kRERNQ9ggQZ5sQMR68g+yuZ8vUV2KI96dFxywx1HVciIr/h88t6AXTqW7agoCCo1WpERUVh0KBBGDNmDK677jpMmDDBgzP0T0OHDm13zZ2/a1ttbAV+W2H46NGjSElJcWm8wsJCSXnQoEEutSciIiLPC5EF4c7YkVhRlYtak+1ND3MaSqGSKzBe5dq//Tb70pVis7YIk1VpmKJO73R/ROR9Ph9O7R13Qp2XkZEBpVIpOX+0pqbG5X5stYmLi2t3beDAgQgJCUFzc7P12s6dOzFjxgyXxvv1118l5bbPthIREZF3qOQhuDN2FFZW5aLR3GKzzk/aIqjkIcgM6+X2OJZgCgDZuhIAYEAl6gH8ZlkveZ5cLse1114ruZaXl+dyP7ba2HoGVKFQ4Oqrr5Zc27Ztm0tjFRcXt3vmdObMmS71QURERF0nNij84uZHsP/Y1PqaIzjV3P4RIGe0DqYW2boSLvEl6gEYTgPcLbfcIikXFBTg/PnzLvWxZcsWSTkhIcHuUttZs2ZJyr/88guKi4udHuvDDz+UlENCQly+80pERERdK0mhxpwY+yubzBCxSpOH8y31LvVrK5gCF3cMTlZEujxPIvItDKcB7oYbbpAcw2I2m/Hvf//b6fZnz57F119/LbnW9u5oa7NmzYJCcekgblEU8fbbbzs1VmNjI95//33Jteuuu47HyBAREfmgAaFxuCmq/X4TFgbRhM+rD6HG6Ny5546C6QQPPMNKRN7HcBrgIiMj8eSTT0quvfLKKzh69GiHbUVRxEMPPYSWFukzJX/4wx/stunVqxceeOABybW33noLBw4c6HC8P//5z5LdfQVBwHPPPddhOyIiIvKOkeGJuCrC/rOgOrMBn1UfRIPJ4LAfBlOiwMBwSnjqqacQHx9vLev1evzmN79BQUGB3TYGgwELFizAt99+K7l+7bXXYvz48Q7H+5//+R+Eh4dby0ajEbNmzcKRI0fstnn99dfxxhtvSK7Nnj0bWVlZDsciIiIi75qoSsVYpf0j3zQmPb7QHIbBbPvscwZTosAREOG0paUFhYWF2L17N4qLi2Ey2f7lF6giIiLw7rvvSq6dOXMGWVlZWLRoEbZt24bz58+jrq4OhYWFeOedd5CZmYkVK1ZI2iQmJra7Zkvv3r3xj3/8Q3KtrKwM48ePxzPPPIPc3FxoNBqUlpbi22+/xYwZM/Dkk09KjqyJiYnBa6+91ol3TURERN1BEAT8Rj0AQ0Lj7dY516LFmpp8mETpKQ0MpkSBRRA7c4iojysqKsJzzz2Hb7/9Fo2NjdbrUVFRuP322/HCCy8gISHBizP0La+++iqefvppt9rGxcVh48aNuPzyy51us3DhQixfvtzlscLCwrBp0yZMmTLF5bZdoaCgAJmZmdZyfn4+hg0b5sUZERER+R6jaMKn1YdQaqi1W2dkWCJujBoMQRAYTIkQeJ8zff7O6dmzZ3HFFVdYf6666io0Ndk+2Lm1H3/8EVlZWVi1ahUaGhogiqL1p6amBu+++y4yMzPbnZkZyJ566il8/PHHiIiIcKldVlYW9uzZ41IwBYB33nkHL774IuRyudNtkpOTsXXrVp8JpkREROScIEGO22OGIz5IabfOIX05ttUXM5gSBSifD6erV6/Grl27sHv3buzevRtJSUkIDQ112KakpAS//e1vodPpIIoiBEFo9yOKIqqqqnDTTTfh2LFj3fRufN/vfvc7HD9+HI8//jiio6Pt1pPJZBg3bhw+//xz7Nu3D/369XN5LEEQ8Je//AX79+/HnDlzJLv4tpWYmIgXXngBR44cwbhx41wei4iIiLwvVBaMO2NHQS0PsVtnh+40gylRgPL5Zb2/+c1vsHnzZgAXw8yPP/7o8KgSAJgzZw7WrFkDQbh0+HPrt2m5brk2efJkbNu2zcMz938mkwn79u1DQUEBKisrIYoi4uLikJiYiCuuuAIxMTEeHa++vh47d+7EiRMnUFdXB7lcjl69emHkyJEYPXq05H9PXxJoyy2IiIg660JLA1ZW5aJJNDpVn8GUAlWgfc706XAqiiKio6NRX18PURShUqlQXV2N4OBgu22OHz+OIUOGSPqIiIjAggULMHjwYJSXl2PlypU4ffq09Q6qIAj45ptvcP3113fH26IeJtB+aRAREXlCWXMtPqk+CCPMDusxmFIgC7TPmUHenoAjJ0+ehFartS7FnTBhgsNgCgCffvqpNXBawm1OTg4GDhxorfPEE09g+vTpyM3NtV778MMPGU6JiIiIuklySBRmRw/DVzV5sHenRAAwLKxXd06LiLzIp585PXXqlKTc+lsDe1avXi25I7pkyRJJMAUAtVptPfLEUnfjxo0wmx1/c0dEREREnjMoLB6DHRwxIwL44MJeGMzOLf8lIv/m0+G0rKwMwKVnQzMyMhzWr6ysxNGjR63loKAgLFiwwGbdYcOGYeLEida+9Xo9CgsLPTFtIiIiInJCjq4UR5suOKxTbzbg/ap9MPvuk2hE5CE+HU61Wq2krFarHdbPzs62/lkQBEyaNMnhjrNXXnmlpFxQUODGLImIiIjIVfaOi7GlytiIj6v3d/GMiMjbfDqcNjY2Ssrh4eEO6+/evRvApTutM2bMcFi/7Z3YqqoqV6dIRERERC6yF0wjZfaPmCk11OErTV5XTouIvMynw6lcLpeUm5qaHNbftWuXpDxp0iSH9S13Yi1HlNTX17s6RSIiIiJygb1gOl2dgQXxYxElt3+efWHTBWys4WNYRD2VT4fTtst4Kyoq7NZtamrC3r17rUFToVBg7NixDvs3GqUP13NDJCIiIqKu4yiYTlClQClX4PaYEQgR5DZaX7Rffw6b65xbDkxE/sWnw2l8/MXd2yyB88iRI3br/vzzzzAYDNb6o0aN6vDYmdraWgCXlgErlcrOTpmIiIiIbOgomFokBKtwa3QmBAj2+2ooxXZtcZfMk4i8x6fD6fDhw61/FkURP/74o926q1atstYDgMmTJ3fYf9s7sTExMe5Mk4iIiIgccDaYWvQPjcV1kQPbXW8tW1eCX+tLPDVFIvIBPh1OBwwYgMjISGu5rKwMH330Ubt6Z86cwapVq6x3WAFg+vTpHfZ/6NAhSTktLc39yRIRERFRO64GU4sxyiSMUyY77Pvn+mLk1J/u9ByJyDf4dDiVyWS49dZbIYoiBEGAKIpYtGgRPvnkE+vzocXFxZg9e7Zks6S4uDhcffXVHfZ/4MABSaDt6BxVIiIiInKeu8G0db0BIXEO62yuP4kcXanbcyQi3+HT4RQAFi5cCJns4jQFQUBDQwPmzZsHtVqNpKQkDBw4ELm5udbwKggC7r//fmsbe44dO4aSkhJrOSkpCb169erKt0JEREQUMMoMdZ0KpgAgEwTMjh6KXkEqh/U2a4tQZqhza55E5Dt8PpxmZWVhwYIF1mdJLSG0sbER5eXlMJvN1teAi3dNn3rqqQ77Xbt2rfXPgiBgwoQJnp88ERERUYBKVkRisipNcs2VYGqhkAXhjtgRiJAp7NYRAMnnQSLyTz4fTgHgrbfewrRp0yQBte2PKIoICQnB559/jqioqA77/Oyzz6ztAOCqq67qyrdAREREFHCmqNOtAdWdYGqhlofi9piRCBZsf3QVAayqyYPG2OjmTInIF/hFOFUoFNi0aROef/55KJVKiKLY7mf06NHYtm0bpk2b1mF/mzdvRkFBgeTazJkzu2r6RERERAFrijod8+PGuB1MLRIVEbglapjd1/XmFnyhOQy9uaVT4xCR9wR5ewLOCg4OxvPPP48//vGP2LJlC4qLi1FfX4/Y2FiMGzcOI0eOdLqv/Px8zJo1y1ru3bs3kpMd7wZHRERERO5JVkR2XMkJg8LiMd2UYfNZVgCoNjZitSYfd8aOhNzOXVYi8l1+E04tQkJCcP3113eqj8cffxyPP/64ZyZERERERN1mvDIZGmMj9jees/l6iaEG39Udww2RgyWnMhCR7+NXSkRERETkNwRBwLWRA9FPEW23zsHGcuQ08HgZIn/DcEpEREREfkUuyHBbTCbigsLt1tmiPYlC/YVunBURdRbDKRERERH5nVBZMO6IGYlwWbDdOutqC1Bu0HbjrIioMwImnDY1NaGiogImk8nbUyEiIiIiD4gOCsNvY0ZAbucjrVE04wvNYdSZmrp5ZkTkjh4dTmtqarBkyRIMHDgQSqUSffr0QUhICIYPH45XXnkFTU38RUVERETkz5IVkbgparDd13VmA76sPoxms7EbZ0VE7vD53Xqrq6vx6KOPWstyuRzvvfceQkNDHbY7cOAAbrjhBpw/fx6iKFqvi6KIgoICLFmyBCtWrMC6desweLD9X2hERERE5Nsyw3uj2qRHdv0pm69XGHVYV1OA38aMgIw7+BL5LJ8Pp+vWrcMXX3xh3Qp85syZHQbTqqoqzJw5E+fPnwcAm9uIi6KIY8eO4dprr0VOTg4SExM9P3kiIiIi6haTVWnQGBuRr6+w+fqJ5mps1hbhN5EDunlmROQsn1/Wu2HDBgCw3v287777OmyzZMkSnD9/HoIgWIOpKIrWH+BSYC0rK8PChQu7YupERERE1E0EQcCNUYORrIi0W2d3Qxn2NZzpxlkRkSt8Ppzu2rXLGiRDQkJwzTXXOKx/5swZfPTRR5JQKpPJcPPNN+OPf/wj5s2bh4iICIiiCEEQIIoiNmzYgB07dnT5eyEiIiKirhMkyDEnejii5fZX2X1fdwJFTdXdOCsicpZPh9PTp0+jqqoKwMVvw8aNG4ewsDCHbT777DO0tLQAuBhMw8LCsHXrVqxduxZ/+9vfsGLFCuTl5SEjI0PSbsWKFV3zJoiIiIio2yjlCtwRMxIhgu2n10SIWFOTj8oWnUfGKzPUeaQfIvLxcFpcXCwpZ2Zmdtjmq6++st4RFQQBTzzxBCZNmiSpk5ycjJUrV0runq5bt86jcyciIiIi74gLVmJOTCZksL35kUE04QvNYehMhk6Nk6MrxcqqXGzXFndcmYg65NPhtLS0FMCl500HDhzosH5tbS0OHDhgLctkMrvPk15xxRXIysqyluvq6lBUVNTZKRMRERGRD+gXEoPrIu1/dqwzNWGV5jBaRJNb/efoSrFZe/GzY7auhAGVyAN8OpzW1tZKylFRUQ7r//LLLzCbzQAuLgMeO3Ys+vTpY7f+VVddJTlmJi8vz+25EhEREZFviQ9WOXz9bIsW62uOSj4POqN1MLXI1pVwiS9RJ/l0ONXr9ZKySuX4F8zu3bsBXLrTeu211zqs3/ZObGVlpatTJCIiIiIflayIxPSI/g7rHG2qxLZ65+962gqmADBdneFwp2Ai6phPh9O232I1Nzc7rG8JpxZtnzVty3In1rKzr1ardXGGREREROTLJkSk4qqIdId1duhO41BjeYd9OQqmE1Qpbs+RiC7y6XCqVqsl5epq+9t+G41G5OTkWIOmXC7H+PHjXRrPsssvEREREfUckyLScKUqzWGdb2sLcbq5xu7rDKZEXc+nw2lMTAyAS3c2CwsL7dbdsWMHGhsbreXMzEyEh4c77N/yTKvlDq1SqezMdImIiIjIR01Vp2OcMtnu62aI+EqTh2pjY7vXGEyJuodPh9PWR8eIoojNmzfbrbt69WprPUEQcOWVV3bY/4ULFyTljjZcIiIiIiL/9ZvIARgZlmj3db1oxBfVh6A3X1pNx2BK1H18OpwOGTIEYWFh1vLx48fx3XfftatXU1ODTz/91HqHFQCmTZvWYf9td+dNS0tzf7JERERE5PNuih6CgSFxdl/XmPT4SpMHk2hmMCXqZj4dToOCgnDjjTda74aKooh7770XO3bssNapr6/HXXfdhbq6S1t3R0REdLhTLwAcPHhQEmj793e8mxsRERER+b/fxgxH32C13ddPG2qx4kIugylRN/PpcAoADz30kPXPgiCgsrISU6ZMweDBgzFx4kQkJSXhhx9+sIZXQRDw+9//HiEhIQ77LSsrw7Fjx6zluLg49O3bt8veBxERERH5BkEQMC8uCzHyMLt1yo317a4xmBJ1LZ8Pp1OnTsXNN99s3bTIEkKPHz+OXbt2QafTSY6cUSqV+NOf/tRhv+vWrbP+WRAEl3f2JSIiIiL/JRNkWBA/FkqZwqn6DKZEXc/nwykAfPDBBxg+fLgkoFqW41r+bLlr+p///AeJifYfdLf4/PPPre2AiyGYiIiIiAJHqCwI98aNgUJw/JF4gjKFwZSoG/hFOI2KisL27dsxb948ABd35G37k5iYiNWrV+OOO+7osL89e/Zg9+7dkmvXX399l8ydiIiIiHxXVFAY7ood7bDOsaYqNLXawZeIukaQtyfgrKioKKxYsQJ//etfsWHDBhQXF6O+vh6xsbEYN24cZsyYgdDQUKf62rRpE0aOHGkt9+7dG4MGDeqqqRMRERGRDysz1Dl8XWNqxLqaI7g9ZgRkrTbTJCLPEsTWD2wSkcsKCgokZ/Lm5+dj2LBhXpwREREROcvecTG2TFSlYpqapztQ9wm0z5l+sayXiIiIiMjTXAmmAPCr7jQK9BVdOCOiwMZwSkREREQBx14wnRqRjtigcLvtvq45gvMt7Y+ZIaLOYzglIiIiooBiL5hOV2fgyog0/DZmOEIEuc22Zoj4uOoAGk2Grp4mUcBhOCUiIiKigOEomFqOi4kLUuKWaPvP9TWJRnxQtQ8m0dxl8yQKRH6zW29bRqMROTk52LZtGw4cOICqqipUV1dDr9dDEAScPHnS21MkIiIiIh/iTDC1GBAah6si0rG1vthmXzWmJnxcfQDz48Z0yVyJApHfhdOGhgYsX74cr7/+Os6fPy95zbLxsNDBFt8LFy7Ejh07rOV7770Xjz/+uMfnSkRERES+wZVgajFRlYqKFh2ONFXafL3MUIc1mjzcGjPco3MlClR+taz30KFDGDlyJJ599lmUl5dDFEVrIBVFscNQanHjjTciPz8fBQUFyM/Px//+7/925bSJiIiIyIvcCabAxRseN0YNQa8gld06R5ou4Pva4x6ZJ1Gg85twumnTJlxxxRU4deqUNYhaflw9qvW6666TnA90+vRp/PLLL56eMhERERF5mbvB1EIhk+O3McMRJgu2W2dv4xls09pe/ktEzvOLcFpQUIA77rgDer0eACSBdPjw4Zg1axaio6Nd6vPOO++U3G397rvvPDtpIiIiIvKqMkNdp4KpRVRQGG6LzoQA+6v0ftGVoKS5xq15EtFFfhFO77rrLtTX11uDpCiKuO+++3D69GkcPHgQ69atQ0qK879gAGDOnDnWP4uiiM2bN3t0zkRERETkXcmKSExWpUmuuRpMLdJCovEbdYbDOvn68y6v6COiS3w+nK5atQqHDx+23i0VBAEffPAB/vOf/6Bv375u95uRkYG0tDRr+eDBgzAYeF4VERERUU8yRZ1uDajuBlOLscq+GBnW2+7rBxrLkdt41u3+iQKdz4fTd955B8ClDY+eeOIJzJ8/3yN9jxkzxvrtltlsxrFjxzzSLxERERH5jinqdMyPG9OpYApcfLTs+qhB6BOstlvnh7oTOM3lvURu8elw2tDQgF27dlmX80ZEROC5557zWP8jRoyQlI8f505rRERERD1RsiLSI/0ECRc3SFLJFDZfN0PE6pp81BmbPDIeUSDx6XCak5ODlpYWAP/3TdX110Ottv9Nlavi4+Ml5aqqKo/1TUREREQ9U4Q8BHNihkNuZ4OkRnMLVtUcRovZ1M0zI/JvPh1Oz507BwDWpbcTJkzwaP9RUVEAYL0zW19f79H+iYiIiKhn6quIxHWRg+y+fr5Fh2/qCrlBEpELfDqctr2TmZCQ4NH+ZTLp2zcajR7tn4iIiIh6rtHKPrgsPMnu6wX6CuQ0lHbjjIj8m0+HU5Opa5dCaDQaAJfuzLp6VioRERERBbbfRA5AiiLK7us/a0/iZFN1902IyI/5dDht+0xobW2tR/s/deqUpBwbG+vR/omIiIioZ5MLMtwWnQm1PMTm6yKAtTUF0Bgbu3diRH7IL8Kp5ZnQgoICj/afnZ0tKScl2V+WQURERERki1KuwG+jRyBIsP3Rukk04ktNHprNfISMyBGfDqetj3oRRRHbt2/3WN+nTp3Cvn37rME3NDQUl112mcf6JyIiIqLAkaiIwI2Rg+2+XmVswNe1R7hBEpEDPh1Ok5OTMXjwpf/I8/PzsW/fPo/0/fe//936TKsgCJgwYQKCg4M90jcRERERBZ7M8N6YoEyx+/rxpipk15+y+zpRoPPpcAoA119/PURRhCAIEEURTz75ZKf73LBhA/773/9a+wSAOXPmdLpfIiIiIgps09T90T8kxu7r2boSFOovdOOMiPyHz4fTJ598EqGhodbyr7/+iscee8zt/tavX4/f//73kmu9evXCPffc43afREREREQAIBME3BI9DDHyMLt11tceQWWLrhtnReQffD6c9unTB4sWLZLcPX377bcxa9YsnD592ul+CgsLMX/+fNx6662or68HAGufS5YsgUKh6Kq3QEREREQBJEwWjDkxw6EQ5DZfN4gmrNLkQW9u6eaZEfm2IG9PwBl//etfkZ2djb1791oD6rfffovvvvsO06ZNw8SJE6HRaCQPmP/nP/+BRqPB6dOnkZ2djcLCQgCXAilw8VnTmTNn4tFHH/XK+yIiIiKinikhWIWbo4ZiVU2ezddrTHqsrSnA3JgRkNnZ5dcVZYY6JCsiO90PkTcJop9sGXb+/HmMHz8epaWlkmdFLUETgCScdnRdFEUMGTIEO3fuRGQk/0Mm9xUUFCAzM9Nazs/Px7Bhw7w4IyIiIvIV2+tPOdwEaYIyBdMjMzo1Ro6uFJu1RZisSsMUdXqn+iLfEmifM31+Wa9F7969sWfPHlx11VXWu5+tg2bbjG251rpu6/rTp0/Hr7/+ymBKRERERF1msioNg0Lj7L6e01CKvMbzbvdvCabAxc2WtmuL3e6LyNv8JpwCQEJCAjZv3oy///3viI2NtRk+bf0Al8JqZGQkXn75ZWzatAlRUVHefUNERERE1KMJgoDLwpMc1vm2thDlBq3LfbcOphbZuhKUGepc7ovIF/hVOAUu/gf+zDPP4PTp0/jf//1fTJkyBSEhIZI7pW1/BEHA2LFjsXTpUpSUlGDJkiWQy20/oE5ERERE5EnpobG4QmX//FMjzFhVk4cGk8HpPm0FUwCYrs7gs6fkt/xiQyRbwsLC8Mgjj+CRRx6BwWBAbm4uzpw5g+rqatTU1CAsLAxxcXHo1asXLrvsMkRHR3t7ykREREQUoK5WZ0BvasEBfbnN17WmZqyuycPvYkdD3sEGSY6C6QQHIZjI1/ltOG1NoVBgwoQJ3p4GEREREZFdN0QPgc5swInmapuvlxrq8EPdCVwfNchuHwym1JP59LLen3/+GdOmTbP+XHvttTAYnF/uQERERETkS26PGYHeQSq7r+c2nsX+hrM2X2MwpZ7Op8Pp4cOHsW3bNmzfvh3bt2+HSqWCQqHw9rSIiIiIiNwiCALmx49BhCzEbp1NdcfbbWrEYEqBwKfDaUNDA4BL55SOGzfOm9MhIiIiIuq0YEGOe+LGINjOs6VmiFityYPW1AyAwZQCh0+H09DQUEm5b9++XpoJEREREZHnRAaFYm7MSAh2XteZDfhKcxi/1pcwmFLA8OkNkXr16iUpG41GL82EuoNOp0NOTg6OHz+O2tpaBAcHo1evXhgxYgRGjRplPbOWiIiIqCdIDYnGtZEDsanuuM3Xz7XU41xLfbvrDKbUU/l0OB06dCgAWEPJ+fPnvTmdgHf06FGMHj0azc3NkuupqakoKSlxu9+8vDwsXboUX3/9td0Nr/r06YMHH3wQixcvhlKpdHssIiIiIl8yJjwJ51vqcaDR9hEzbTGYUk/m08t6R40aJTmfdNu2bd6bTIATRREPPPBAu2Da2T6XLl2KrKwsrFq1yuFOzOfOncPzzz+PoUOHYs+ePR6bAxEREZE3CYKAayMHoW+wusO6DKbU0/l0OJXJZJg7dy5EUYQoiti6dSvOnrW9tTZ1rX//+9/YsWOHR/t85JFH8Nxzz7m0XLu0tBRTp05Fdna2R+dCRERE5C1Bggy3xQxHhMz+qRQCgBFhvbtvUkRe4NPhFACeffZZhIeHQxAENDc348knn/T2lALOuXPn8Mc//tGjfb7zzjtYtmyZ5JpKpcLixYuxZ88eVFVV4dSpU9iwYQOuueYaST29Xo9bbrkFZWVlHp0TERERkbdEyEMwODTB7usigJVVuTD/3ykWRD2Rz4fT5ORkvPnmm9bjZFavXo0nn3zSWqaut2jRImi1WgBAWFgYrrzyyk71V1FRgWeeeUZyLSkpCbt27cKrr76KsWPHIjY2Fmlpabjxxhvx448/4tVXX5VsiKTRaPDEE090ah5EREREviJHV4q9jWcc1tGY9Pi0+mD3TIjIC3w+nALAggUL8I9//APAxecU33zzTUycOBG//vqrl2fW861ZswZff/21tfznP/8Z6enpnerz5ZdfRmNjo7Usl8uxfv16DBs2zG6bxYsX4w9/+IPk2tq1a7F///5OzYWIiIjI2+ydY2pLiaEG39Qc7eIZEXmHIPr4LcjWzxb+8MMPeOWVV2AymQBcfIB8wIABmDp1KrKyspCQkAC1Wo2gIPc2IZ48ebJH5txT1NXVYciQISgvv7h73NChQ3Hw4EHcf//9+PDDD631XNmtt6KiAikpKZLNjx577DG88cYbHbZtaGjAwIEDce7cOeu1m2++GevWrXPuDXWRgoICZGZmWsv5+fkOgzYRERGRhb1gqpIpoDPb3yxyoioV09T9u3Jq5AMC7XOmTx8lAwBTp05td76lIAjWTZKOHz+OEydOdHocQRB4jmobzzzzjDWYCoKAf//73wgODu5Un+vXr5cEU0EQ2t0RtUepVOLee+/F0qVLrdc2bdoEnU4HlUrVqXkRERERdTd7wXS6OgODQ+Px3oW9aBZtfz79VXcaIYIcEyPSuniWRN3HL5b1ArCGUcuPIAjWn7avuftDl2RnZ+O9996zlu+5555OP2sKXAynrU2aNMmlZcLz58+XlJubm/HDDz90el5ERERE3clRMJ2gSkF0UBhmRQ9x2MfP9cXI0ZV21RSJup3fhNPWYdTWndTO/JBUc3MzHnjgAWtgj4uLwyuvvNLpfg0GA7Zs2SK5NnXqVJf66N+/P/r27Su5tnHjxs5OjYiIiKjbdBRMLQaFxuMKVarDvjZrixhQqcfwi3DqqTujvGPqnKVLl+LYsWPW8quvvorY2NhO93v8+HE0NzdLrk2cONHlftq2ycvL69S8iIiIiLqLs8HU4qqIfkhTRDnskwGVegqff+Z069at3p5CQMnPz7fujAxcvLM5b948j/RdWFjY7tqQIY6Xq9jStk3rIE1ERETkq1wNpgAgE2S4JToT713Y43CDJEu/9voh8gc+H06nTJni7SkEDLPZjPvvvx8tLS0AAIVCgeXLl3us/6NHpduey+VyJCUludxPcnKypFxfX4+zZ8+61RcRERFRd3AnmFqo5ArcGp2Jj6oPQIT9VX8MqOTv/GJZL3WPd955B7t27bKWn332WQwePNhj/bc+AgYAEhMTIZfLXe4nJaX9L9yzZ8+6PS8iIiKirlRmqHM7mFqkhEThaieOjtmsLUKZoc7lORL5Ap+/c0rdo6ysDH/605+s5YyMDEnZE3Q6naSsVqvd6sdWu7Z9u6uyshIXLlxwqU1RkXOHZhMREVFgSlZEYrIqDdm6Eus1V4KpxXhlMs4Y6lDYZP+zysiw3khWRLo7VSKvYjglAMDDDz8sCXjLli1DaGioR8doGyDDwsLc6sdWO0+F02XLluHFF1/0SF9EREREFlPUF4/Oy9aVuBVMgYsnVNwYNQSVF3TQmPQ265xs1kBnMkAlV3RqvkTe4LPhtKmpCQUFBbhw4QJqa2sRFRWF+Ph4DB061O1QQ7Z9+eWXkuNY7rzzTlxzzTUeH6ehoUFSdjf8dmU4JSIiIuoqU9TpSA+N7dSdzVBZEG6LGY4PqvbBKJrbva4zG7CuJh93xY6CTOATfORffC6crlmzBu+++y527NjR7tgR4OImPZMmTcIDDzyAOXPmeGGGPYtGo8Fjjz1mLUdHR+P111/34oyIiIiIei5PLLntFazC9ZGDsKH2qM3XSwy12FZ/CtOceEaVyJf4TDg9d+4c5syZY92Qx975o83Nzfj555/x888/47XXXsOqVava7d5KznvqqadQUVFhLf/9739HQkJCl4ylVCol5aamJrf60evbL2NRqVRu9dXWwoULXf7So6ioCDfffLNHxiciIiJyxsjwRJwx1GF/4zmbr/+qO42+ikgMDI3r5pkRuc8nwmlRURGuueYalJaWWkOpIAh261vq7N69G5MmTcKWLVuQkZHRLXPtSX7++WesWLHCWp4wYQLuv//+LhuvbYC0FTKd0ZXhNCEhocvCOREREZEnzYgcgHMt9TjfUm/z9fU1R3Bf/FhEB/GROPIPXl+IbjKZMHfuXJw+fRrAxVDqKJi2rVNWVoY77rgDJpOpy+fak+j1ejz44IPWclBQEN59990O/+47o22A1Gq1bvVjq52nwikRERGRvwgS5LgtOhOhgu37TU2iEatr8mEU+TmZ/IPXw+mbb76J3NzcdqFIFEWIoojw8HAkJiYiPDzces3C0ubAgQN44403unPafu+vf/2r5AiUJ598EsOHD+/SMfv06SMpl5eXu/WlQllZWYd9ExEREQWC6KAw3Bw91O7r51vq8X3diW6cEZH7vLqsVxRFvP3225JgKooievfujWeeeQazZ89GSsqlbbZLS0uxZs0a/POf/8T58+etd1At/SxevNgbb8Mv7dy5U1LW6/X44x//6FTb3NxcSbmmpqZd2zFjxrR7dnPw4MGSsslkwtmzZyX/GzujtLRUUo6IiEDfvn1d6oOIiIiopxgQGoeJqlT8qjtt8/UDjeeQrIjEyPDEbp4ZkWu8Gk63bt2KkpISa8AUBAHjxo3DN998g7i49g9vp6Sk4IknnsDvf/973HTTTdi1a5c12JaWlmLr1q246qqruvtt9AhvvfWW2221Wi3+8Y9/SK7NmzevXTgdMmRIu7ZHjx51OZwWFhZKyoMGDXKpPREREVFPMzUiHWcNWpQYamy+/l3tMfQKVqF3cEQ3z4zIeV5d1vvLL79IynFxcVi/fr3NYNq23rp169ptXJOdne3xOZLnDBw4ECEhIZJrbe/gOuPXX3+VlLt6OTIRERGRr5MJAmZHD0OETGHzdSPMWKPJR5PZ2M0zI3KeV8OpZXmo5a7p448/7vROqb169cLjjz9ubdu6P/JNCoUCV199teTatm3bXOqjuLi43TOnM2fO7OzUiIiIiPyeUq7ArTHDIYPtDS41Jj021B6xe2Qjkbd5NZweP35c8rzpHXfc4VL722+/3fpnURRx/Phxj82tp9u2bZt1gylXf+bNmyfpKzU1tV2dlStX2hx31qxZkvIvv/yC4uJip+f94YcfSsohISGYMWOG0+2JiIiIerJkRSSmq+0fsXisqQq7GtpvLknkC7waTuvq6qx/jo6ORr9+/Vxq369fP8TExFjLtbW1npoadZFZs2ZBobi03MSymZUzGhsb8f7/b+++o6Oq9reBP5My6T2hBJIgBCQGCBBAECQUEUEQpIiFjoogWMByvSqIKMq1oKLeKAoICFKkcxFF6b2XQAyQQEIIpPee7PcP3+THmTMzmTkzmUkyz2etrMXZ5+wymc3JfOfs8uOPkrRBgwZxGxkiIiKiu3Rza44wZ92jEf/MvYYbJdrnphJZU50JTmuaZ6rL3fmU7ptJltO4cWM8//zzkrTFixfjzJkzNeZ95513kJycXH2sUqnw7rvvmr2NRERERPWZSqXCUO+28LV31XpeQGBjVgzyK0os3DIi/awanBYXF1f/29VV+3+emri4uFT/u6SE/8Hqg7ffflvyfpeXl2PYsGG4dOmSzjyLFi2S7WU7YsQIdO7cubaaSURERFRvOdk5YLRvOziqtH/cz68sxcasGFSKSgu3jEg3qwanZJuaNGki23omKSkJ3bt3xxtvvIFTp04hMzMTiYmJ2L59OwYOHIhZs2ZJJu/7+vri888/t3TTiYiIiOqNRo7uGOzVVuf5G6XZ+CvP8LU/iGqbVfc5Jds1Y8YMXLp0Cf/973+r0/Ly8vDJJ5/gk08+0ZvXxcUFGzduNHp/VCIiIiJb08G1CW6W5uBUYbLW80fyExHk6IV7XQIs3DIiOT45Jav55ptvMG/ePNjb2xucJygoCHv27EFUVFQttoyIiIio4XjYqzWaOnroPL8l+zIyywvNUldSaU7NFxHpwOCUrEalUmHOnDk4ffo0Ro8eLVnFV1PTpk3x3nvv4dKlS7j//vst2EoiIiKi+s1BZYdRPu3gotI+aLJElGND5kWUiQqT6jmSn4jl6aewL5dDhUkZDusloy1fvlznPqZKdOjQAevWrUNeXh4OHz6MK1euICcnB/b29mjcuDEiIiLQqVMnyZ64RERERGQ4bwcXDPcJx5rMc1rP3ynPx285cRjqHaao/CP5ididexUAsD//OgAgyrOlorLIdtWZ4PTq1avo16+fonx3U1IG8M9TvD///FNRXjIPDw8PDBw4EAMHDrR2U4iIiIgaHCc7/R/9zxamIEjthY6ugUaVe3dgWmV//nW0dPZDkNrL6HaS7aozwWlBQQH27dunKG/VKq5CCEVlCCH4VI6IiIiIGrQgtRf6e7TCn3nXdF6zMzsOjR099M5RvZu2wBQAHvIMZWBKRqszc06FEIp/TCmHiIiIiMhWPOARgt7uLXSeL0clfs28gOLKshrL0heY9nDnrgpkvDoRnKpUKqv9EBERERHZkijPlujq2lzn+ayKYmzJvqz3QQ4DU6oNVg9OTXliaq4fIiIiIiJb8oh3G9zr5K/zfFxxOg7nJ2o9x8CUaotV55wmJCRYs3oiIiIiIps12rc9lqSdwJ3yfK3n9+RdQzO1J1o4+VSnMTCl2mTV4DQkJMSa1RMRERER2SyVSoWJ/p2xOPUICrXMMRUANmbF4LmArvCwd2JgSrXO6sN6iYiIiIjIOtR2Dhjv1xl20L4WS0FlKTZmXcThvBsMTKnWMTglIiIiIrJhAY5uGOYdpvN8YmmO1u1nGJiSuTE4JSIiIiKyce1cm6CLazODr2dgSrWBwSkREREREWGAV2sEOnrWeB0DU6otDE6JiIiIiAgOKjuM8mkHFztHndfYQ4X73XTvkUpkCganREREREQEAPBycEZbPfufVkBgdcY5C7aIbAmDUyIiIiIiAvDPPqZnilL0XpNQmoX/ZcdaqEVkSxicEhERERGRzn1MtTlVeAv7cuNruUVkaxicEhERERHZOF2BqYOecGF//nUcybtRm80iG8PglIiIiIjIhukKTB/yDMXjPuF68+7Ou4Yj+Ym11TSyMQxOiYiIiIhslL7AtId7MNq6BKBrDavz7s69ygCVzILBKRERERGRDaopMP2/41Zo7OCutywGqGQODE6JiIiIiGyMoYEpADio7DHCNxyOKnu9ZTJAJVMxOCUiIiIisiHGBKZV/B3cMMirTY1lM0AlUzA4JSIiIiKyEUoC0yoRrk3R3qVJjXUwQCWlGJwSEREREdmApNIcxYFplUFebeBr71LjdbtzryKpNMfoNpJtY3BKRERERGQDgtRe6O3eQpJmTGAKAE52Dhjh2w72UOm9rrd7CwSpvZQ0k2wYg1MiIiIiIhsR5dmyOkA1NjCt0tTRAw95huq9xt/RTUnzyMY5WLsBRERERERkOVGeLdHS2c+kJ5td3ZojoTQLccXpWs/vyI5FoKMnfBxqHgJMVIVPTomIiIiIbIypQ25VKhWGeofB085J6/kSUYGNWTGoEJUm1UO2hcEpEREREREZzdXOEY/7hOucfXqrLBd7cuMt2iaq3xicEhERERGRIsFO3ojyuEfn+SMFibhanGHBFlF9xuCUiIiIiIgU6+neAi3U3jrPb8m+hLyKEss1iOotBqdERERERKSYnUqF4T7hcLVz1Hq+sLIMm7MuoVIIC7eM6hsGp0REREREZBIPeycM875P5/nrpVk4lH/Dgi2i+ojBKRERERERmSzU2Q893HTvm7ovLx6JJdmWaxDVOwxOiYiIiIjILPp6tkSgo6fWcwLApqwYFFWWWbZRVG8wOCUiIiIiIrOwV9lhhE84nFT2Ws/nVpZga/ZlCM4/JS0YnBIRERERkdn4OLjgUe+2Os/HFafjRMFNC7aI6gsGp0REREREZFbhLo3RyTVQ5/nduVeRUpZnwRZRfcDglIiIiIiIzG6gZ2sEOLhpPVcBgY2ZF1FSWW7hVlFdxuCUiIiIiIjMztHOHiN8wuGg0h5yZFYU4becOAu3iuoyBqdERERERFQrGjm6Y6Bna53nzxfdxrnCFAu2iOoyBqdERERERFRrOrkG4j7nRjrP78yJQ3p5gQVbRHUVg1MiIiIiIqo1KpUKj3q3hbe9s9bzZaICGzNjUC4qLNwyqmsYnBIRERERUa1ytnPACJ92sINK6/k75fnYnXvNwq2iuobBKRERERER1bpmak/082yl8/yJgpuILUozuZ6k0hyTyyDrYHBKREREREQW0d0tCKFOfjrPb8u+jJzyYsXlH8lPxPL0U9iXG6+4DLIeBqdERERERGQRKpUK/g6uOs8Xi3Jsyo5Bpag0uuwj+YnYnXsVALA//zoD1HqIwSkREREREVlEUmkOjhYk1XjNvrwEo8q9OzCtsj//Oof41jMMTomIiIiIyCKC1F54yDO0xusO5t9AQkmmQWVqC0wB4CHPUASpvYxuI1kPg1MiIiIiIrKYHu7BBgWom7MuoaCiVO81+gLTHu7BittI1sHglIiIiIiILMqQADW/shRbsi9BCKH1PAPThofBKRERERERWZwhAeq1kkwcKUiUpTMwbZgYnBIRERERkVUYEqDuyY1H8l0LGzEwbbgYnBIRERERkdX0cA9GP49WOs9XQmBjVgyKK8sYmDZwDtZuABERERER2baeHiEoFmU4nC8fwgsA2RXF+Cn9DFLL82XnGJg2HHxySkREREREVtffMxThzo10nmdg2vAxOCUiIiIiojphhG87NHXwMOhaBqYND4NTIiIiIiKqM8b7d4KLylHvNf09WjEwbYAYnBIRERERUZ2htnPAWP+Oeq8pFuWWaQxZFINTIiIiIiKqUxJKsvSeP5R/A4kl2ZZpDFkMg1MiIiIiIqozdG0Xo2lt5nkUV/IJakPC4JSIiIiIiOoEQwNT4J+hvSvTT9dyi8iSGJwSEREREZHV6QpMI1ya6Mxzuzwfm7JiarNZZEEO1m4AERERERHZNl2BadV2MXYqO5wpvKU178WiO/C2d0Zfz1a13UyqZXxySkREREREVlNTYAoAD3uGwtfeRWcZB/Nv4EjejVprI1kGg1MiIiIiIrIKQwJT4J/tZYb73AcVVDrL2p13DUfyE2ulnWQZDE6JiIiIiMjiDA1MqzRTe6G3Rwu9Ze7OvcoAtR5jcEpERERERBZlbGBapZd7CJo7euotmwFq/cXglIiIiIiILEZpYAoAdio7DPO5D2qVvd7rGKDWTwxOiYiIiIjIIpJKcxQHplV8HVwx0Kt1jdftzr2KpNIco9tI1sPglIiIiIiILCJI7YXe7i0kacYEplUiXJqirXOA3mt6uAUhSO1lbBPJihicEhERERGRxUR5tqwOUJUEpgCgUqnwqHdbuNupdV6TVVEMIYTSZpIVMDglIiIiIiKLivJsiYn+kYoC0yqudo54zDtM5/nY4jScK0pRXD5ZHoNTIiIiIiKyOHMMuW3l7Idubs11nv8t5woyywtNrocsg8EpERERERHVW/09WyHAwU3ruTJRgc1Zl1ApKi3cKlKCwSkREREREdVbDip7DPe5D/ZQaT2fXJaLg/k3LNwqUoLBKRERERER1WtNHD3Q17OVzvP7867jJreVqfMYnBIRERERUb3X3S0ILdQ+Ws8JCGzOuoTSynILt4qMweCUiIiIiIjqPZVKhWE+YXBWOWg9n1VRhN9zr1i4VWQMBqdERERERNQgeNo7Y7D3vTrPnylMQWxRmgVbRMZgcEpERERERA1GuEtjtHdpovP89pxY5FWUWLBFZCjtz7zJpt28eRMXL15EYmIisrKyAAA+Pj5o3LgxunbtisDAwFqpNz8/H0eOHEFcXByys7Ph6OiIxo0bo0OHDujYsSNUKu0rsBERERER3e0RrzZILM1GTkWx7FxRZRm2ZV/GU74R/HxZxzA4Jdy5cwdbt27Fn3/+iT179iA1NVXv9S1btsSUKVPw/PPPw9/f3+T6L1y4gA8++ACbN29GaWmp1msCAwMxdepUzJ49G25u2vexIiIiIiICAGc7Bwz3vg8rMk5DaDl/rSQTJwuT0dWtucXbRrpxWK8NO3nyJPr164fAwEA8//zzWLt2bY2BKQDEx8fj7bffRsuWLbF06VLF9Qsh8MEHH6Bz585Yt26dzsAUAG7duoW5c+fivvvuw/HjxxXXSURERES2IdjJGw+4h+g8vzvnKtLKCizYIqoJg1MbdvLkSezZsweVlZWK8ufl5WHKlCmYNm2aovwzZszAu+++i/Jyw5f0TkxMRJ8+fbB//35FdRIRERGR7YjyuAdNHT20nitHJTZlxaBCKPssTObH4JQkQkNDMW3aNKxduxbnz5/H7du3kZ2djdjYWCxduhTdu3eX5YmOjsbcuXONquebb77Bt99+K0lzd3fH7Nmzcfz4caSnpyMhIQFbt27FgAEDJNcVFRXh8ccfR1JSkvEvkIiIiIhshr3KDsO974ODSnvYc6c8H3vy4i3cKtJFJYTQNgybbEB0dDSmTZsGBwcHPPnkk3j22WcRFRVVY77vv/8eM2bMQFlZWXWag4MDzp49i/Dw8Brz37lzBy1btkRhYWF1WrNmzbBr1y6d+T/77DO8/vrruLu7jhw5Ehs2bKixvtoWExODdu3aVR9fvHjRoN8DEREREVnGyYKb2JkTp/P8OL9OaOHkY8EWGcbWPmfyyakNs7Ozw1NPPYXLly9j5cqVBgWmAPD888/ju+++k6SVl5fj/fffNyj/hx9+KAlM7e3tsWXLFr3/0WbPno2XXnpJkrZx40acPn3aoDqJiIiIyHZFujZDayc/nee3ZF9CcWWZzvNkGQxObdiUKVOwevVqhIaGGp130qRJsmB2586dehc1Av55aqoZ2M6YMQORkZE11vnhhx9KtrERQmD+/PlGtJqIiIiIbJFKpcIQ7zC42jlqPZ9bUaL3ySpZBoNTG2Zvb29S/gkTJkiO8/LycP78eb15tmzZIglgVSqV7ImoLm5ubpg8ebIkbefOncjPzzewxURERERkq9zt1RjqHabz/MWiO7hQeNuCLSJNDE5JsYiICFlaSkqK3jxbtmyRHPfq1QstW7Y0uM6JEydKjktKSrBr1y6D8xMRERGR7Wrj7I/OroE6z+/MiUN2eZEFW0R3Y3BKirm4uMjSCgp07xVVWlqKP//8U5LWp08fo+ps1aoVmjeXbpa8Y8cOo8ogIiIiIts1wLM1fO1dtZ4rEeXYmn0ZlVwz1ioYnJJiiYmJsrRGjRrpvD4uLg4lJSWStJ49expdr2aeCxcuGF0GEREREdkmtZ09Hve5D3ZQaT1/ozQbR/Pln3ONlVSaY3IZtobBKSm2b98+WVqrVq10Xh8bGytLCwvTPe5fF808f//9t9FlEBEREZHtClR7orfHPTrP78mLR0ppnuLyj+QnYnn6KezL5R6qxmBwSopUVFRg1apVkrSwsDCEhITozHP58mXJsb29PZo1a2Z03UFBQZLjvLw8JCcnG10OEREREdmuClGp81wlBDZlx6CsssLoco/kJ2J37lUAwP786wxQjcDglBT54YcfkJSUJEkbM2aM3jy3bt2SHDdt2lTRisHBwcGyNAanRERERGSopNIcHMi/rveajPJC/Jl3zahy7w5Mq+zPv84hvgZysHYDqP65efMm3nzzTUmaj48PZs6cqTef5pYvnp6eiurXls9c28mkpqYiLS3NqDxXr16t+SIiIiIiqjOC1F54yDNUFkhqOlFwE6FOfgh19quxTG2BKQA85BmKILWX4rbaEganZJTy8nI8/fTTyMmRfvuzYMEC+Pr66s2rGUBqW+3XENrymSs4/fbbbzFv3jyzlEVEREREdVcP939G49UUoG7NvoypAd3gZq/WeY2+wLSqHqoZh/WSUV555RUcOHBAkjZw4EBMnTq1xrya28w4OzsrakNtBqdEREREZDt6uAfjIc9QvdcUVJZie04shI7tZRiYmg+DUzLY4sWL8c0330jSmjdvjpUrV0Kl0r4UNxERERFRXWZIgBpXnI6zhSmydAam5sVhvWSQX375Ba+88ookzcvLCzt27EBAQIBBZbi5uUmOi4uLFbWlqKhIlubu7q6oLE3Tp0/H6NGjjcpz9epVDB8+3Cz1ExEREZHlGTLEd1duHIKdvOHn4AqAgWltYHBKNfrtt98wfvx4VFb+33LbLi4u2LZtGzp06GBwOZoBpLYg0xC1GZw2atQIjRo1MktZRERERFR/9HAPRqWoxF952rd+KROV2Jx1CRP9O+N4wU0GprWAwSnpdfDgQYwcORJlZWXVaY6Ojli/fj0efPBBo8rSDCBzc3MVtUlbPnMFp0RERERku3p6tEBhZRmOFiRpPX+rLBdrMs4hoTRLdo6Bqek455R0OnXqFB599FEUFhZWp9nZ2WHFihV49NFHjS4vMDBQcpySkoKKCuM3NtbcX1Vb2URERERESgzwao02Tv46zzMwrT0MTkmrmJgYDBw4UPaUMjo6Gk8++aSiMtu2bSs5rqioQHJystHlJCYmSo49PDzQvHlzRW0iIiIiItL0hG97+Nobtu0hA1PzYXBKMlevXsWAAQOQkZEhSf/ss8/w3HPPKS43LCxMlnb58mWjy4mNjZUc33vvvYrbRERERESkSaVSYZx/ZzjUEC4xMDUvBqckkZSUhIceeggpKdKlst977z3MmjXLpLLbtGkDJycnSdrhw4eNLufQoUOS4/bt25vULiIiIiIiTZ72Thjmc5/O8/ZQoatbMwu2qOFjcErV7ty5g/79++PGjRuS9NmzZ2Pu3Lkml69Wq9G/f39J2t69e40qIz4+XjbnVMn8VyIiIiKimuRU6N76sAICJwqMn6JGujE4JQBAZmYmBgwYgCtXrkjSp06dik8//dRs9QwbNkxyfODAAcTHa1+uW5uffvpJcuzk5ISBAweapW1ERERERFV07WN6t925V3EkP1HvNWQ4BqeE/Px8DBo0CBcuXJCkjx07Fv/973/NWtewYcOgVqurj4UQ+Prrrw3KW1hYiB9//FGSNmjQIG4jQ0RERERmpSswdbdTy9IYoJoPg1MbV1xcjKFDh+L48eOS9BEjRmD58uVQqVRmra9x48Z4/vnnJWmLFy/GmTNnasz7zjvvSFb3ValUePfdd83aPiIiIiKybboC04c8Q/Fqk154yDNUdo4BqnkwOLVh5eXlGD16tGze56BBg7BmzRrY29vXSr1vv/02XF1dJe0YNmwYLl26pDPPokWL8MUXX0jSRowYgc6dO9dKG4mIiIjI9ugLTKtW5e3hHswAtZY4WLsBZD1z587F9u3bJWkODg5o3bo15syZo6jMyMhIjB49Wu81TZo0wcKFCzFz5szqtKSkJHTv3h0vvPACxowZg3vuuQf5+fk4f/48Fi9ejN9//11Shq+vLz7//HNFbSQiIiIi0mRIYFql6ljz+qpjbi+jDINTG3b3ENkq5eXl+OqrrxSXOWHChBqDUwCYMWMGLl26JJnTmpeXh08++QSffPKJ3rwuLi7YuHEjgoP5n56IiIiITGdMYFqFAar5cVgvWc0333yDefPmGTV8OCgoCHv27EFUVFQttoyIiIiIbIWSwLQKh/iaF4NTshqVSoU5c+bg9OnTGD16tGQVX01NmzbFe++9h0uXLuH++++3YCuJiIiIqKEyJTCtwgDVfDis14YtX74cy5cvt3Yz0KFDB6xbtw55eXk4fPgwrly5gpycHNjb26Nx48aIiIhAp06dzL5yMBERERHZLnMEplU4xNc8GJxSneHh4YGBAwdi4MCB1m4KERERETVgSaU5ZgtMq+gLUJurvRCk9lJUri3hsF4iIiIiIrIpQWov9HZvIUkzJTCtom2Ib2/3FgxMDcTglIiIiIiIbE6UZ8vqANUcgWmVuwPU3u4tEOXZ0izl2gIO6yUiIiIiIpsU5dkSLZ39zP5ks4d7MIfyKsAnp0REREREZLNqK4BkYGo8BqdERERERERkdQxOiYiIiIiIyOoYnBIREREREZHVMTglIiIiIiIiq2NwSkRERERERFbH4JSIiIiIiIisjsEpERERERERWR2DUyIiIiIiIrI6B2s3gKi+KykpkRxfvXrVSi0hIiIiooZE83Ol5ufOhobBKZGJkpKSJMfDhw+3TkOIiIiIqEFLSkpC586drd2MWsNhvURERERERGR1DE6JiIiIiIjI6lRCCGHtRhDVZ9nZ2di3b1/1cVBQEJycnKzYIrKWq1evSoZ1b968GaGhodZrEJEG9lGqy9g/qS6zVv8sKSmRTCGLioqCt7d3rddrLZxzSmQib29vDBs2zNrNoDooNDQU4eHh1m4GkU7so1SXsX9SXWbJ/tmQ55hq4rBeIiIiIiIisjoGp0RERERERGR1DE6JiIiIiIjI6hicEhERERERkdUxOCUiIiIiIiKrY3BKREREREREVsfglIiIiIiIiKyOwSkRERERERFZHYNTIiIiIiIisjoGp0RERERERGR1DE6JiIiIiIjI6hys3QAiooYiICAAc+fOlRwT1SXso1SXsX9SXcb+aRkqIYSwdiOIiIiIiIjItnFYLxEREREREVkdg1MiIiIiIiKyOganREREREREZHUMTomIiIiIiMjqGJwSERERERGR1TE4JSIiIiIiIqtjcEpERERERERWx+CUiIiIiIiIrI7BKREREREREVkdg1MiIiIiIiKyOganREREREREZHUMTomIiIiIiMjqGJwSERERERGR1TlYuwFEROZy8+ZNXLx4EYmJicjKygIA+Pj4oHHjxujatSsCAwOt3ELzKS8vx8mTJ3Hx4kWkp6dDCAFfX1+0bdsW3bt3h5OTk7WbSHVEfn4+jhw5gri4OGRnZ8PR0RGNGzdGhw4d0LFjR6hUKrPXWVJSgqNHjyI2NhaZmZlQqVQICAhAeHg4unbtCnt7e7PXSWQM9lHbk5mZiSNHjuDatWvIy8uDk5MTAgMD0alTJ4SFhdVKnbz/KiCIiOqp27dvi++//16MGTNGNGrUSADQ+9OyZUvx4YcfirS0NEX1RUVF1ViHIT95eXmKX3NqaqqYNWuW8PHx0Vm+m5ubePbZZ0VCQoLiesh05ugrkZGRius/f/68eOKJJ4RardZZfmBgoJg3b57Iz883y2tOSEgQzz77rHBzc9NZp4+Pj5g1a5bi/4dkuj179pilf2r+7NmzR2+9ISEhJtfh5+dn0mtnH7We9PR08dtvv4n58+eLoUOHiiZNmsh+93PnzjV7vQcOHBCPPPKIsLe31/meh4aGii+//FKUlpaapU7ef5VjcEpE9c6JEydE3759hZ2dnaIPNx4eHuLHH380ul5rB6fbt28Xvr6+Btfj6uqq6HWSeZijrygJTisrK8X8+fOFg4ODwfUEBweLY8eOmfR6f/jhB+Hi4mJwnb6+vmLHjh0m1UnK1FZwun//fr31Wjs4ZR+1vM8++0w8+eSTomXLlgb9zs0ZnJaWlooXX3zRqP7Vvn17ERcXp7hO3n9Nx+CUiOqd//73v2b5IPXCCy8YVa81g9M1a9YoDsY/+eQTo+sj05mjrygJTqdPn66oLhcXF7Fv3z5Fr/U///mPojrt7OzEL7/8oqhOUq42glMvLy9RWFiot15rBqfso9Zh7O/bXMFpWVmZGDZsmKL3PCAgQFy6dElRvbz/mo5zTomoQQgNDcWAAQPQp08fhIWFoVGjRnB2dsbt27dx+PBhfP/99zh69KgkT3R0NBo1aoR58+YpqnPw4MFo37690fnUarVR158+fRoTJ05EZWVldZqdnR1GjhyJqVOnom3btnBwcMCVK1ewbNkyrFq1CqWlpdXXvvHGG2jbti2GDBlidFvJfF544QV4eXkZlad58+ZGXf/NN9/g22+/laS5u7tj6tSpGDNmDFq2bIm8vDxcuHABixcvxh9//FF9XVFRER5//HGcPXsWQUFBBte5fft2vPnmm5I0tVqN8ePHY+LEiWjdujVKS0sRGxuL7777Dr/++iuEEACAyspKTJgwAa1bt0bnzp2Neq2kXHBwsOw9M0ZCQgLWrVsnSRszZgxcXFyMKuepp55CcHCwUXnc3NyMuh5gH7VFb731FrZs2SJJ8/f3x8yZMzFs2DAEBwcjIyMDJ0+exKJFi3D8+PHq69LS0jB06FCcPn0anp6eBtfJ+6+ZWDk4JiIyWtWTUwcHBzF27Fixd+9eg/J99913wtHRUfLNoYODg7h48aJB+TWfnC5btsyEV2G4yMhISb1qtVqsXbtW5/V79uwRXl5ekjzNmjUTRUVFFmkv/QMa31LX9hzg27dvC1dXV9n7rq9/f/rpp0KlUknyjBw50uA6i4qKRLNmzWRP0PT9n1yzZo1sHlaXLl2Meq1kXbNmzZL178OHD9eYT/PJaU1zVM2BfdS6NPuJu7u7iIqKEq+99ppYu3ZtrTw5PXv2rOy+Fh4eLm7evKn1+srKSvHKK6/I2jJ79myD6+T913wYnBJRvfPdd9+Jp556Sly5csXovEuXLpX9AXriiScMymuN4PTXX3+VtfeLL76oMd+mTZtk+T7//PNaby/9H0sHpzNnzpTUZ29vL06ePFljvpdfflmST6VSiVOnThlU52effSZ7nZs3b64x36JFi2T5Nm7caFCdZF1lZWWicePGkvfu3nvvNSivNYJT9lHr6tatm3jxxRfF8uXLRUxMjKioqJCcr43gdOjQoZIyPTw8RGJiYo35NIcBu7i4iOTkZIPq5P3XfBicElG9U15eblJ+zSDTw8NDlJSUGJ3PEsFpRESEpM7OnTvL/rjrovmHtlGjRmZbiZBqZsng9Pbt27Jvw19++WWD8ubn54vAwEBJ3uHDh9eYr7S0VAQEBEjyDRs2zKA6KyoqRKdOnSR5O3bsaFBesq6tW7fK+vZHH31kUF5LB6fso3WfuYPTM2fOyMpctGiRQXlv3bolW1TolVdeqTEf77/mZQcionrG1D26JkyYIDnOy8vD+fPnTSqzNsTFxeHcuXOStBkzZsDOzrBb98yZMyXHqamp2Ldvn9naR3XHli1bJPOMVSoVXnrpJYPyurm5YfLkyZK0nTt3Ij8/X2++PXv2IC0tTZL28ssvG1SnnZ0dXnzxRUna2bNncfXqVYPyk/UsX75ccmxnZ4dx48ZZpzE1YB+1PZpzod3c3DBlyhSD8jZt2hQjR46UpG3YsKHGfLz/mheDUyKyOREREbK0lJQUK7REP83FHJydnfHEE08YnL9fv36yhRU0y6SGQfN97dWrF1q2bGlw/okTJ0qOS0pKsGvXLqPqDA4ORp8+fQyu88knn4Szs7PeMqluycjIwPbt2yVpDz/8MJo1a2alFunHPmp7NN+fESNGwMPDw+D8mvfCmzdv4tSpU0bVyfuvaRicEpHN0baiZEFBgRVaot/OnTslx127djVqpUqVSoWoqChJ2o4dO8zSNqo7SktL8eeff0rSjPmQAgCtWrWSrQxcU1/R7J9RUVFQqVQG1+nm5oYuXboYVSdZ1+rVqyVPiAD5B+u6hH3UtiQmJuLSpUuSNGPvhQ888AAcHR0lafrec95/zY/BKRHZnMTERFlao0aNrNAS/TSHGvfs2dPoMjTzXL9+vU4G4qRcXFwcSkpKJGnm6CsXLlzQeW1+fj4SEhIsWidZn+aQXh8fHwwfPtwqbakJ+6jt0TY9x9j33MXFRbatir73nPdf8+M+p0Rkc7TNu2zVqpXR5QghcPHiRZw8eRJ37txBQUEBfHx84Ofnh7CwMHTu3Fnx/Nj09HRkZGRI0sLCwowuRzOPEAKxsbGIjIxU1C5SrqSkBIcOHcLFixeRlpaGiooK+Pn5wd/fH5GRkWjdurWicmNjY2Vp5ugrf//9t8XrTE9PR2ZmJnx9fY0ui2rXhQsXcPr0aUnak08+CScnJ8VlVlRU4NSpUzhz5gzS0tJQXFwMX19f+Pn5ISIiAu3atTPqadDd2Edtj+Z77uDgoOi+GhYWhmPHjuksV1+dVfmV1Hk3W77/MjglIptSUVGBVatWSdLCwsIQEhJidFnPP/88ysvLdZ738PDAwIED8dprr+H+++83quzLly/L0ozdrB6A1s28GZxaR7t27fT2l6ZNm2L06NGYPXu2Ue+1Zl+xt7dXNAdQs6/k5eUhOTlZa1m12T8vX76s6CkA1S7Np6YAMGnSJJPKfOSRR/T+n/D19cWwYcPw+uuvG/3hm33U9mi+582aNTN4AcG7ab7nV65cQUVFhdYvm3n/NT8O6yUim/LDDz8gKSlJkjZmzBhFZen7UAX888dlw4YN6N69O4YOHYr09HSDy75165YsTdsfkpoEBQXJnjwkJycbXQ6Zrqb+kpKSgq+++gqhoaH417/+VeP1VTT7StOmTRU9sdf24UZXX9GsU6VSKfpAZkydZD3l5eX4+eefJWnh4eHo2rWryeXqk5mZiWXLliE8PByTJ09GYWGhwWWzj9oezfdcyd9MQP6el5SUyEYy6aqT91/TMTglIptx8+ZNvPnmm5I0Hx8f2ZYrtWH79u3o1KmTbGsYXbQtI+/p6Wl0vY6OjrIV+Wpaop6sq6ysDAsXLkS/fv2Qk5NT4/Wa76eSfqIrn66+opnu4uIiW0TE3HWS9ezcuRN37tyRpFlyISQhBJYtW4Zu3bppXTNAG/ZR21MX7oW8/5qOwSkR2YTy8nI8/fTTsg/7CxYsMHp+RevWrTFr1ixs2LABsbGxyMrKQllZGTIyMnDhwgVER0ejb9++snw3b97Eo48+qvWpqCZtfyC0rTJsCM18deGPj62ws7ND9+7dMX/+fOzcuRPXr19HXl4eSktLcefOHRw5cgQff/yx1nlRBw4cwOjRo2t8uqTtg4oS2vIZ8+Gotusk69Ec0uvg4ICxY8cqLq9Dhw54++23sWXLFly9ehU5OTkoKytDWloaTp06hS+++EK2KA0AxMTEYMiQIcjLy6uxDvZR22Mr98KG3rc555SIbMIrr7yCAwcOSNIGDhyIqVOnGlzGY489hgULFuCBBx7Qet7X1xe+vr5o164dpk6dir1792Ls2LGSYTLJycl48sknsX//fr11aVtRV/MJqKEYnFrH66+/jmnTpuGee+7Rer5Ro0Zo1KgRunfvjtdffx3R0dGYNWuWZOXHP/74A++//z7ef/99nfVo9hVz9RNAd1+xRp1kHdr2Nn3kkUfQpEkTo8uaPHkyRowYgXbt2mk97+/vD39/f3Tu3Bkvv/wy1q9fj+eee07ypeKFCxfw4osvYsWKFXrrYh+1PbZyL2zofZtPTomowVu8eDG++eYbSVrz5s2xcuVKo1aCnDVrls7AVJs+ffrgxIkTsnkdBw4cqDP7iVHt+c9//qMzMNVkZ2eH6dOnY+fOnbLhWZ9//jlSU1Nro4lENTLn3qZz5szRGZhqM3r0aBw6dAheXl6S9J9//rnObHtBRObF4JSIGrRffvkFr7zyiiTNy8sLO3bsQEBAQK3X37RpU2zYsEEWBH/22Wd687m5ucnSiouLFbWhqKhIcuzu7q6oHKp9ffv2xYIFCyRpBQUFiI6O1plHs6+Yq58AuvuKNeok69Ac0uvn54ehQ4darP7w8HD88MMPkrTKykosWrRIbz72UdtjK/fCht63GZwSUYP122+/Yfz48aisrKxOc3FxwbZt29ChQweLtaNr1654/PHHJWmHDh3SOnS3irY/ENr+kBiCwWn9MnPmTAQGBkrSfvvtN53Xa76f5uon2sq2Zp1kedr2Nn366aehVqst2o5Ro0bJtr/atWuX3jzso7bHVu6FDb1vMzglogbp4MGDGDlyJMrKyqrTHB0dsX79ejz44IMWb8+oUaMkx6WlpTh8+LDO67X9gcjNzTW63rKyMtm3qnXhjw/p5uTkhCFDhkjSjh8/rvMDiOb7qaSf6MpnzIcjQ7e+UVonWZ62vU0tuUrv3UaOHCk5vnXrFq5cuaLzevZR21MX7oW8/5qOwSkRNTinTp3Co48+KtkTz87ODitWrMCjjz5qlTb16NFDlqZvPzHNJ2cAZPuzGuLmzZsQQtRYNtUtmv2loqJCtpVHFc33MyUlBRUVFUbXqa1/6eormulCCNy8ebNW6yTL0ra3aYcOHbSuomsJpt5D2UcbPs33RcnfTG35nJyc4OfnZ1CdvP+ajsEpETUoMTExGDhwoOwbwejoaDz55JNWatU/K7NqSktL03l927ZtZWmG7u9XU56wsDCjyyHLMqa/aPaViooKRRupa/YVDw8PNG/e3KA6teVXUifA/llXWHtvU028h1JNNN/z5ORkybQeQ2m+561bt4a9vb1BdfL+azoGp0TUYFy9ehUDBgxARkaGJP2zzz7Dc889Z6VW/UPz6SUAvSsFBwQEyL6pvXz5stH1xsbGyuq89957jS6HLMuY/qLtw4Q5+oq+fqLtw5E56vT399f5hIIsS3NIr6Ojo0l7m5rK2Hso+6jt0bwXlpeX6x36rYvme66tL+mqE+D911QMTomoQUhKSsJDDz2ElJQUSfp7772HWbNmWalV/0fbkMyaVgvWXLRJ3xxVXQ4ePCg5btGiRZ2YU0L6GdNf2rRpAycnJ0makr5y6NAhyXH79u11Xuvh4SHbJscc/VNfnWQ52vY2HTx4sEVWONfF2Hso+6jt0bbQobHveVFRkWwRMH3vOe+/5sfglIjqvTt37qB///64ceOGJH327NmYO3eulVoldeTIEVla06ZN9eYZNGiQ5PjEiROSebQ1EUJg//79kjRrzbkl42j2F3t7e63DGgFArVajf//+krS9e/caVV98fLxs/lFNfUWzf+7bt8+oOgsLC3Hy5Emj6iTL0La36aRJk6zUmn+Y4x7KPtqwBQcH47777pOkGXsvPHLkiKzv63vPef81PwanRFSvZWZmYsCAAbKhO1OnTsWnn35qpVbJrVu3TnLs6OiodYGPuw0bNkxyXFRUJCtHn71798rmlGiWSXVPUVGR7KlV165d4eLiojOP5vt64MABxMfHG1znTz/9JDl2cnLCwIED9ebRrPPGjRtGfShbu3atbCVp9s+6QXNIb0BAAAYPHmydxuCfL9rWr18vSWvatCnatGmjNx/7qO3RfH82btyI/Px8g/Nr3gubN28u28aopjp5/zWRICKqp/Ly8kS3bt0EAMnP2LFjRWVlpbWbV+3w4cOyNvbp08egvBEREZJ8kZGRBr+2xx9/XJI3ICBAlJaWmvJSyAIWLFgg6y/vvfee3jy3b98WarVakufVV181qL6CggLRrFkzSd7hw4fXmK+0tFQEBARI8j3++OMG1VlRUSEiIyMleTt27GhQXqpd58+fl/U/Q/tSbVm9erWsTRMnTqwxH/to3af5vs6dO9ek8k6fPi0r88svvzQob0pKinBxcZHkfeWVV2rMx/uveTE4JaJ6qaioSPTp00f2R2jEiBGivLzcrHXl5uaKnJwcRXkTExNFYGCgrJ1bt241KP+GDRtkeRcvXlxjvi1btsjyff7554peAxknJSVFcR/ctWuXcHBwkLxvrq6uIiUlpca8M2bMkORzcHAQp0+frjHfq6++KsmnUqnEqVOnDGrvp59+Kutn27ZtqzHfl19+Kcu3ceNGg+qk2jVr1izZe3Pu3DmTykxLSxPFxcWK8p49e1Z4eHjI+ujZs2cNys8+WreZOzgVQoghQ4ZIyvTy8hI3b96sMZ/mF7rOzs4iOTnZoDp5/zUfBqdEVO+UlZXJ/vgAEIMGDRIlJSVmr+/MmTPCx8dHzJs3z+A/VEII8dtvv4nGjRvL2tmrVy+j6tf8htPJyUmsX79e5/V79+4V3t7ekjzNmjUTRUVFRtVLyixatEi0adNGLF26VOTl5RmUp6ysTHz++efC0dFR1l/eeecdg8pISUkRrq6ukrxBQUEiJiZGZ57PP/9cqFQqSZ6RI0caVJ8Q/3xJpPmtv7e3t9i/f7/OPGvXrhVOTk6SPF26dDG4Tqo9ZWVlsntW586dTS5306ZNolmzZuKLL74QGRkZBuWprKwUq1atkgWmwD+jYwzFPlq31UZwevbsWdl9rX379jr/fldWVmr9Umb27NkG18n7r/mohNCyNjcRUR329ttvY8GCBZI0BwcHTJ8+Xe+8PH0iIyMxevRorefOnj2LTp06AQDs7OzQs2dP9O/fH506dUKbNm3g7e0Nd3d35OXl4datWzh06BDWrFmDo0ePyspq3rw5jh49imbNmhnctlOnTuGBBx6QLNJgZ2eH0aNHY+rUqWjbti3s7e1x5coVLF++HCtWrJBcq1KpsHXrVgwZMsTgOkm5L774Aq+++ioAwMXFBY888gh69uyJTp06ISQkBF5eXnB2dkZWVhbi4+Oxd+9eLFu2TLagFwA8/PDD2L59OxwdHQ2q++uvv8bMmTMlaR4eHnjhhRcwZswY3HPPPcjPz8f58+exePFi/P7775JrfX19cebMGQQHBxv8erdt24bHHntMkqZWqzFx4kRMmDABrVu3RllZGS5fvozvv/8e69evl2wL4uTkhMOHD6Nz584G10m1Q9t7+dVXX8n6lLE2b96Mxx9/HMA/9+r+/fsjKioKnTp1QqtWreDl5QVXV1fk5OQgMTERBw4cwIoVKxATEyMrKyIiAvv374enp6dJr4t91DJOnTolmy98t4ULF0qOe/bsiV69emm91sfHB2+++aZB9b722mv47LPPJGkBAQF46aWX8NhjjyEoKAiZmZk4deoUPv/8cxw7dkxybatWrXD69Gmj+hnvv2Zi1dCYiEiBCRMmyL7hNPVnwoQJOus7c+aMWepo0aKFuHjxoqLXvHr1amFnZ6eo3oULFyr8TZMSixYtMkt/6devn8jNzTW6/mnTpimqz8XFRezdu1fRa/74448V1WlnZyfWrFmjqE4yvxEjRkjeH7VaLdLT000ud9OmTWb5PxEREWHU6JW7sY9ax7Jly8z2dzokJMTgesvKysTQoUMV1ePv76/3iac+vP+ajsEpEdU79S04ValUYvz48YrnrVbZunWr8PHxMeqP3Q8//GBSnWQ8U4NTV1dXsXDhQlFRUaGo/srKSjFv3jxhb29vcJ1BQUHi6NGjJr3uJUuWyBYT0ffj4+Nj0Pwosoz09HTZoi7GDDHUx9Tg1NHRUcyePdvkaRvso5ZnreBUiH8WDTI2WAwPDxdxcXGKXy/vv6ZjcEpE9Y6lg9PCwkKxevVq8dxzz4nw8HCD/+iEhISIl19+WVy5csVsrz01NVW8+uqrsjmld/+4urqKKVOmiISEBLPVS4a7deuW+Pbbb8Xo0aNFSEiIQX3Fzs5OREREiP/85z8iMzPTLO04d+6cGD16tCzguPunadOm4r333jN4bmxNEhISxJQpU2RzrzQ/FL366qsiNTXVLHWSeSxevFj2Xpnrw2tmZqZYunSpGDdunAgNDZXNs9P2o1KpxL333iveeecdxU9LtWEftSxrBqdV9u/fLwYOHKh39FHLli3FF198YbYV7Xn/VY5zTomIjFRcXIy///4bN27cwK1bt5CXl4fi4mK4ubnBx8cHAQEBiIyMrHGDeFOUl5fj+PHjiImJQXp6OoQQ8PHxQVhYGLp37w5nZ+daq5uMk52djdjYWCQlJeH27dsoKChAeXk5PD094ePjg+bNm6NLly7w8PColfrz8vJw+PBhXLlyBTk5ObC3t0fjxo0RERGBTp06QaVSmb3O4uJiHD16FJcvX0ZWVhZUKhX8/f3Rrl07dO3aFQ4ODmavk+qP/Px8/P3330hMTMStW7dQUFCA0tJSuLu7w8fHB02aNEHXrl3h6+tba21gH7U9GRkZOHLkCK5du4a8vDyo1WoEBgaic+fOuO+++2qlTt5/jcfglIiIiIiIiKzOztoNICIiIiIiImJwSkRERERERFbH4JSIiIiIiIisjsEpERERERERWR2DUyIiIiIiIrI6BqdERERERERkdQxOiYiIiIiIyOoYnBIREREREZHVMTglIiIiIiIiq2NwSkRERERERFbH4JSIiIiIiIisjsEpERERERERWR2DUyIiIiIiIrI6BqdERERERERkdQxOiYiIiIiIyOoYnBIREREREZHVMTglIiIiIiIiq2NwSkRERERERFbH4JSIiIiIiIisjsEpERERERERWR2DUyIiIiIiIrI6BqdERERERERkdQxOiYiIiIiIyOoYnBIREREREZHVMTglIiIiIiIiq2NwSkRERFRPLV++HCqVSvJz/fp1q7Xnjz/+kLRlzJgxVmsLWUa3bt2q32+1Wo3Lly9bu0lUjzlYuwFEREREVP+VlpZi5syZ1cdqtRofffSR2eu5fv064uLikJSUhJycHBQVFUGtVsPLywteXl5o3LgxOnToAF9fX7PXTXILFy5Ev379AABlZWV46aWX8Mcff1i5VVRfMTglIqu7fv067rnnHqPy2NnZwd3dHZ6enmjWrBkiIiLQtWtXjBgxgh9IGqj33nsP8+bNM+hatVoNJycnuLu7IyAgAE2aNEHr1q3Rtm1bdOvWDZ06dYKjo2Mtt5jItnz++ef4+++/q4+nTZuGli1bmlxuYWEhNm7ciC1btmDv3r1IT083KF9QUBAiIyMxdOhQDB8+XNHfBmPuOyqVCu7u7vDy8oK/vz8iIiIQGRmJRx991Ojfw/LlyzFp0iSd9Vy7ds3ov5vazJ8/H3PmzNF5XghRYxl9+/bFoEGDsHPnTgDA7t278euvv2LkyJEmt49skCAisrKEhAQBwCw/arVajBkzRly/ft3aL4vMbO7cuWbrJ66urmLEiBFi7dq1orS01NovjUixZcuWyfp3QkKCxduRnp4uPDw8qtvg5OQkUlJSTCozJydH/Pvf/xY+Pj4m/593cHAQAwcOFH/++adRbTDHfUelUon+/fuL/fv3G1yvtvf17p93333X2F+nTGVlpbjnnnv01mOoI0eOSPKFhoaKsrIyk9tItodzTomoQSktLcXatWtx3333YcWKFdZuDtVRVU9ixowZgxYtWmDRokUoKyuzdrOI6q2PPvoIeXl51ceTJk1CkyZNFJe3adMmhIaGYsGCBcjKyjK5feXl5di1axf69++P3r1749SpUyaXaSghBP78809ERUXh1VdfRUVFhcll/vTTT6isrDSpjD179iAhIcHktgBA9+7d0adPn+rjq1evYunSpWYpm2wLh/USUZ3k5uaG0NBQnefLysqQk5ODlJQUrX+gCwsLMXHiRFRUVOgcGkX1X1BQkNahehUVFcjOzkZOTg7y8/P1Dk27desWZs2ahSVLlmD16tXo2LFjLbaYqOG5desWvvnmm+pjOzs7vPHGG4rKEkLgtddew+eff67zGg8PDzz44IPo1KkTfH194efnBzc3NxQWFuLOnTu4du0ajh8/jvPnz2sNBA8cOIA1a9YgMjJSURt13XeEEMjJycHt27dRUlKi9fwXX3yB3Nxc/Pjjj4rqrpKYmIg///wTAwYMUFyGuYPHN998E3v37q0+nj9/PiZMmAAnJyez1kMNG4NTIqqTunTpIvkjp0thYSGOHj2KH3/8EWvWrJEEIUIIzJw5E/369UNISEgttpas5f3338fEiRP1XlNRUYHY2FgcP34cx48fx6ZNm3Dnzh3ZdZcvX0aPHj3w888/Y8SIEbXUYqKG58svv0RxcXH18aBBgxTNhxRCYPLkyVi+fLnW80OGDMEbb7yBBx54APb29jWWl5GRgS1btmDJkiU4evSo0e3Rpab7TmlpKY4ePYro6Gj88ssvsi/Hli5diq5du+KFF14wql4fHx/JU+SlS5cqDk5zcnKwceNGSZqvry8yMzMVlQcAAwcORMuWLREfHw8AuHnzJlavXs0viMkoHNZLRPWaq6sr+vXrh59//hk7duyAs7Oz5HxBQUGtrBZJ9Ye9vT3Cw8MxadIk/Pe//0ViYiJWrlyJ9u3by64tLi7GmDFjsGPHDiu0lKj+yc/Px/fffy9Jmzp1qqKy3n33Xa2BaZs2bXDy5Els27YNDz74oEGBKQD4+flh8uTJOHLkCA4dOoQHH3xQUbuMpVar0bt3b6xevRrbtm2Di4uL7Jr33nsP+fn5RpX79NNPS443b96seMjz6tWrUVRUVH0cFhaGTp06KSqrikqlwpQpUyRpixYtMqlMsj0MTomowRg0aBDef/99WfrmzZtNnptDDYdarcbYsWNx4sQJzJgxQ3a+vLwczzzzTPW3/0Sk208//YTs7Ozq4yZNmmDw4MFGl7N7924sWLBAlh4VFYWjR48qHoJb5YEHHsD+/fuxbNkyeHt7m1SWMR599FF89913svQ7d+5g8+bNRpXVvXt33HfffdXHxcXFWL16taJ2aQ7pNdfTzUmTJsHO7v/CiwsXLuCvv/4yS9lkGxicElGDMnXqVNkWIXfu3MGtW7es1CKqq5ycnLB48WLJXLkqOTk5WgNXIpLSDHJGjBhh8JPNKqWlpXj++edlw1/btm2LnTt3wsfHx+R2Vpk4cSLOnDlj8lNCY4wbNw4RERGy9F27dhldlmYQuWzZMqPLuHjxIk6ePFl97ODggPHjxxtdjjZNmzZFz549JWlK2ki2i3NOiahB8fT0RJs2bRATEyNJv337Npo3b66ozNTUVMTGxuLatWvIzs5GQUEBPDw84Ovri2bNmqFbt25wd3c3R/MlkpKScO7cOSQnJyM3NxclJSVwcXGBm5sbAgMD0aJFC7Rp00Y2lNkU2dnZOHHiBO7cuYO0tDSUlJTA398fjRo1QteuXdG0aVOz1VVXTJ8+HSdPnpR9gNq5cyf++uuv6s3llSosLMSxY8dw+/ZtpKWloaCgAH5+fggICEDHjh3NsldhTVJTU3Hs2DEkJCQgLy8Prq6uCAkJwQMPPGDUiqoJCQk4efIkbt68iaKiIvj7+yMkJARRUVFm7YdFRUWIi4tDbGws0tPTkZubCwcHB/j4+MDf3x8dO3ZEixYtzFafPpWVlTh9+jQuXLiA1NRUqFQq+Pv7o2XLlnjggQegVqvNWl9FRQWOHj2KhISE6i/V/Pz8EB4eji5dusDBoe58dIuJicHp06claaNGjTK6nOjoaNmqsWq1GqtXr9Y6JNZULVq0sFj/qTJixAicO3dOkqb5uzPEuHHj8NZbb6G8vBwAcOrUKZw/fx4dOnQwuAzNxZgGDx6Mxo0bG90WXUaNGoUDBw5UH2/atAn5+fm18neSGiBr7WFDRFRF2z6nUVFRisvr0aOHrLxjx44ZnD83N1esWrVKjB8/XgQHB9e4h529vb3o0qWLWLJkiSgpKVHcbiGESE5OFm+99ZZo0aKFwfu6duvWTfz73/8WZ86cUVRnYWGh+Oyzz0SPHj2Evb293vrCw8PFxx9/LPLz8016nUpo229w2bJlZim7sLBQNGrUSFb+0KFDFZVXVlYmlixZIvr16yfUarXe32mrVq3EW2+9JTIyMoyuZ8KECZKyQkJCJOd///130bdvX2FnZ6ez7z722GPi0qVLOuuoqKgQP/30k4iIiND5Gtzc3MTUqVNFenq60a9BiH/2Wzx48KB44403RLdu3YSDg0ONfb958+bi5ZdfFjdu3FBU5549e2Rl7tmzp/p8Tk6OmDNnjmjcuLHe1z1x4kSRmJioqA13S0tLEzNnzhQBAQE66/Px8RGvvvqqSE1Nrc5nzX1O33nnHUm9np6eory83KgyKisrRatWrWSvYfr06bXUauOY676zfv16WTkBAQE6r9f2vq5cuVIIIcSwYcMk6S+//LLB7SgpKRH+/v6S/Js3bxZCCNG/f39ZnUrEx8fLylm1apWissj2MDglIqszd3DaunVrWXnx8fEG5X399deFs7OzQYGhrg/Mxmy0frevv/5auLu7K64bgCgqKjKqziVLloimTZsaXU/jxo3F+vXrFb1OpWozOBVCiHnz5mkN3owNGjdt2iRCQ0ON/p16enqKr7/+2qi6dAWnJSUlYsqUKQbX7eTkJFavXi0rPzk5WfTu3dvgcgICAsS5c+eMeg179+4VQUFBivu8g4ODeOedd0RFRYVR9eoLTvfv3y+aNWtmcBtcXFzEli1bjKr/bmvWrBF+fn4G1+fn5yd27twphLBucNqpUydJvYMHDza6jH379ml9jRcvXqyFFhvPXPed33//XVaOo6Ojzuv1BadbtmyRpPv7+xv8xahmkNy4cWNRVlYmhDBfcCqEECEhIZJynnrqKcVlkW3hnFMialBu376Nq1evStK8vLwMHsJ1/PhxyZYIxrp58yb69++PlStXGpXv3XffxYwZM4xevVGpsrIyPPvss3juueeQkpJidP47d+7giSeewPz582uhddYxffp02ZDJiooK/PbbbwblF0Jg7ty5ePzxx2V90BC5ubmYMWMGpk6dqnVvRkOVl5fj8ccfN2ofxZKSEowbNw47d+6sTktMTESvXr2wf/9+g8tJS0tDv379cP36dYPzJCQkICkpyeDrNZWXl+ODDz7AsGHDqoc6mmL79u146KGHkJycbHCeoqIijBw50uC+crfvv/8eTz/9NDIyMgzOk5GRgaFDh2L79u1G12cut2/fxtmzZyVpffr0MbqcrVu3ytIeeOABhIeHK2xZ3ZSTkyNLU7ow0+DBgyXD8dPT07Ft2zaD8mrOER43blytDBXv27ev5Pj333/nwoRkkLozcYGIyAw+/vhj2aIaw4cPh0qlMroslUqF9u3bo3379ggLC0NAQAA8PT1hb2+PvLw8xMfH48SJE9izZw/Kysqq85WVleG5555Du3btDFp0Y+/evfjwww9l6V5eXhgwYAA6duyIoKAguLm5oaSkBHl5eUhMTERMTEz1XEZjVFZWYvjw4fjf//4nOxcYGIj+/fujU6dO8Pf3h7OzMzIzM3HmzBns3LkTiYmJ1dcKITBnzhz4+/tj2rRpRrWhLvL390dERAROnTolST98+LBsCwdtpk2bpnVVTl9fXwwYMACRkZFo1KgRXF1dkZ2djZiYGPz222/4+++/Jdd///338Pb2xsKFCxW9jtdff13y3oaFhWHIkCFo3bo1vLy8kJGRgYMHD+LXX39FSUlJ9XUVFRWYPHky4uLiYG9vj6FDh1bPA1SpVOjVqxcGDBiAoKAguLi4IDk5GTt37sTu3bsl9WdkZODFF19UvB1PkyZNEBkZibCwMLRo0QKenp5wdXVFQUEBUlNTceHCBfz2229ITU2V5Nu+fTv+/e9/4z//+Y+iegHg7NmzeOutt1BaWgoAcHFxQf/+/dG7d280adIEDg4OSEpKwu+//44///xTkre8vBzPPvssYmJi4OXlZVB9v/76K1544QXZPcve3h59+/bFgAED0KxZM5SVlSEpKQnbt2/H8ePHq+t76qmnMHv2bMWv1xT79++XtbtLly5Gl6NtP2slQW5dp7kOAgAEBAQoKsvBwQHjxo3DJ598Up22dOlSjBw5Um++5ORk/P7775K0yZMnK2pDTbp27SrZFigjIwMXLlzQujAUkYRVn9sSEQnzDOutrKwUn376qawctVotYmJiDC6nb9++4uGHHxY///yzSEtLMyhP1VwxlUolqbtdu3YG5dc2lGr27NkiNze3xryVlZXi5MmT4vXXXxe+vr4GDeudM2eOrL7mzZuLdevW6Z0vVjWPUnPosVqtFqdOnTLotZqitof1CiHEjBkzZHX06NGjxnxLly6V5fP19RXfffed3veksrJSbNy4Uet8123bttVYr+awXrVaXd0P/f39xbp163TmvXr1qrj33ntl9S5YsEDMnDmz+rhz587i5MmTOsvZuXOncHV1lZVz+PDhGtsvxD/DF1u2bCk++OADg4cEl5eXi1WrVokmTZpI6lSpVOL48eMGlaFtWO/dQ/rHjRsnbt26pTe/r6+vrIyPPvrIoPpTU1Nlc/8AiG7duum9Z+3bt08yR9PFxcUqw3pfe+01Wb3GzjkuLS3VOie7ag5kXWCu+462OdvPPPOMzuv1DesVQojLly9Lztnb24vk5GS9bfjwww8lebp37y45b85hvQcPHpSVtWTJEsXlke1gcEpEVqckOC0tLRUZGRni2LFjYtGiRToXa4mOjjaqLdnZ2Ypfx/Lly2X179q1S2+enJwc2SJEEydOVFR/YWGhqKys1HvN4cOHZYvj9OjRw6jXffbsWeHp6SkpY9CgQYrabAxLBKc//fSTrI7GjRvrzZOQkCALztq0aSOSkpIMrjcxMVE0b95cUkZ4eHiN76dmcFr106RJExEbG1tjvfHx8bI51n5+ftV9pE+fPgYtfrVq1SpZG5577jmDXntubm6Nr1OXGzduyBYtM3Rum7bgtOpn/vz5BpVx4MAB2ZdSoaGhBuWdNGmSrN4HH3xQFBYW1pj39u3bWufWWzI47dOnj6zPGSsuLk5r+435v1PbzHHf0fb/A4BYsWKFzjw1BadCyBf/W7Bggd52aM6F//777yXnzRmc5uTkyMp6/vnnFZdHtoPBKRFZnbbg1NSf5s2bi02bNln8tYwaNUrSjtGjR+u9/vz587K2Hzp0qNbaN3jwYEldgYGBIisry+hytH3YOnv2rPkbfBdLBKc7d+6U1aFSqURpaanOPNOnT5dc7+bmZvACXHfT9qShpkV2dAWnNX0poq/9VT/+/v7i9u3bBpcTFhYm+z9oCdu3b5fU6+DgYNCXLbqC0xEjRhhV/xNPPCEr4+rVq3rzpKWlCScnJ0keX19fySq8Nbl48aLOVY0tEZwGBgZK6rz//vuNLuOvv/7S2n5TVz03J1PvO7pGFgQEBOgdHWNIcLpkyRLJ+TZt2ugsb+/evZJrXV1dZfWbMzgVQghvb29JWX369DGpPLINXBCJiBqUXr16YePGjUhISMDw4cMtXr/mRuaHDh3Se31eXp4szc/Pz6xtqnLx4kXZPNMFCxYoWpTj6aefRuvWrSVpmzdvNqF1dYO234UQQuv7BPyzAJDm/qivv/66or1Le/bsif79+0vSNm3aZHQ5Dz30EB5++GGDr9c1T+3VV181au9DzXJu3ryJtLQ0g/MrNWjQIPj7+1cfl5eX49ixY4rKsrOzM3rO6tixY2VpmvOWNS1btkwy3xcA5s6da9QcxPDwcKvN9S4tLZUtpNasWTOjy8nKypKlOTs7m33vWEsrLS3FwYMHMW7cOAwePBiFhYWya+bMmQMPDw+T6hkzZgzc3Nyqj+Pi4nDw4EGt12ouhDRq1CiT66+J5t7ixiyURraLwSkRNSgHDx7E9OnTMX/+fKNWvzQXzYDt1q1bkkWENGkLRHV9uDDVhg0bJMceHh4YM2aMorJUKhUGDRokSdO2sEl94+PjozW9qKhIa/qOHTtk55599lnF9T/66KOSYyW/0ylTphh1va5Fu4xdKEVbOZqLPdUGOzs7tGrVSpJ29OhRRWX169dPVlZNunXrJkur6XXfvSoyADg5Ocm+2DLE1KlTjc5jDsnJybLFkO5ePdZQ2v5fKV3B9uuvv4ZKpTLq57333lNU15w5c9CxY0fZT0REBO655x54enriwQcfxKpVq2S/J+CfFXJffPFFRXXfzcPDA6NGjZKkaQahwD8rgWve/2trIaS7NW3aVHJ88+bNWq+T6j+u1ktEdZKbmxtCQ0P1XpOfn4+srCxkZmZK0m/fvo33338f0dHR+PHHHzFkyBDF7SgpKcHBgwdx7tw5XLx4EWlpacjNzUV+fr7W7T6qVvm8W2JiIoKDg7WW37p1a/j6+kpew5tvvok2bdrgwQcfVNxubfbt2yc57ty5M5ydnRWXp/l08MyZM4rLqit0bXWga7Vnzd9pSEiIoidIVTR/p9evX0d2drZRH9h79+5tVJ0+Pj7w8PCQPB1u3bq10cGGtu2asrOzjSqjysWLF3HixAmcP38eN27cQG5uLvLy8mRPG6tobt2j7wshfaKioozO07hxY7i5uaGgoKA6Tdu2IVUqKytx4sQJSVrfvn0VBWXh4eFo06YN4uLijM5ritzcXFna3U/wDKUtcKsPkpKSFG1/pFKp8OKLL2LRokWKVpDXZvLkyfjpp5+qj9evX4/FixdL3o9ffvlF8vS2VatWRt8nlHB1dZUcl5eXo6ioCC4uLrVeN9VfDE6JqE7q0qWLwU+NUlJS8NdffyE6Olry1DE1NRXDhw/HihUrDNoK5G5Xr17Fxx9/jA0bNuj9oGkIfR/Q7ezsMH78eHzxxRfVaRkZGejduzcGDBiAsWPHYvDgwZJhi0pUVFTIniadP38eHTt2VFym5pcCOTk5KCsrg6Ojo+IyrU3Xe6Xrw5TmsO309HSTfqfa9rlNT083OHBxcXFBYGCg0fVqBqc1fTGkqwxNxvzfKSkpweLFi7Fs2TJcunTJ6PrvpjQo1hz5YCgvLy+Dg9O///5b9j5HRkYqqrcqr6WDU23DVJUEHNrymHq/rYtUKhX69OmDuXPnKvoCRJ/evXsjNDS0+gua/Px8rFu3DpMmTaq+RvNp6qRJk8wWHOuj7f0tKChgcEp6MTglonqvadOmeOaZZ/DMM89g8eLFePnll6u/ka/auzEiIsLgTd3ff/99LFiwQOdTGmPV9GHrnXfewdatWxEfHy9J/+OPP/DHH39ApVIhPDwcDzzwALp27YoHH3wQ9957r1FtyMjIQHFxsSQtKytL65wvU2RmZho1T7Gu0fb7sLOzg7u7u9brNYepFRQU4Ny5c2ZtU0ZGhsHBoq5hyTXR/EJBSTnavpS4e/9ffQ4dOoQJEybg2rVrRterjdIAx9fXV1E+zdeu73Vr7s8KwOj/z3dr27at4rxKaRs1Ym9vb3Q52vpZUVERSktLjZ53GhAQoHcPzczMTEVPO42hUqng5uYGLy+v6n2TIyMjMWTIELRs2bLW6p00aRLefvvt6uOlS5dWB6eXLl2SzMG2s7PDhAkTaq0td3NwkIcZ5eXlFqmb6i8Gp0TUoMycORM3b96ULGpSUlKCmTNn4q+//qox/4svvohvv/3WrG2q6QO6n58fdu/ejZEjR2odGiuEwMWLF3Hx4kV8//33AP6Z3zVs2DA89dRTBn0Tb6n5t7rmZtYXd+7ckaU1btxYa+BVVFRkkddrTB3memptyaffe/bswZAhQ7Q+jVPK0KBYkyVet7anul5eXorLMyWvUtqefGl++WWIoKAgrelpaWlGD48fM2aM3jn0y5cvlzxNNMWyZcswceJEs5RlDhMmTMCcOXOqvzQ4ePAgrly5gtatW8uemj788MOyhYpqi7Z7l+ZQXyJNXBCJiBqcf//737I/gHv27MHFixf15lu1apXWwNTX1xdTpkzB0qVLceDAAVy/fh1ZWVkoKiqC+GdLruqfhIQERW2+5557cOzYMURHRxv0FOX27dv47rvv0KdPH3Tt2hV79uzRe725n5A2VMePH5el6Xriwd+p6bKysjBmzBhZYGpnZ4eHH34YH330EX777TfExMQgPT29eq635v87cw+VrE3aVn5WMl/THHnNWaeSL2pCQkK0PiGtabVjkmrWrJlshe5ly5ahrKwMK1eulKRbYiGkKtr6hDX6K9UvDE6JqMHx8vLSupjQrl27dOYpKyvDG2+8IUv/17/+hZs3b+KHH37ApEmT0KtXL4SEhMDb21vrYkKmPElzdHTE1KlTERsbi5MnT+KDDz7Aww8/DE9PT735Tp48if79++PDDz/UeY22Jx1jxoyRfcg39Ufbojj1yZEjR2RpnTt31nqttt/p/fffb/bfaZ8+fcz9MuuMBQsWyLab6dKlC2JjY7Fr1y7861//wsCBA3HffffBz88Pbm5usLOTf3SpT0/stc3NvXu+qrFMyatUo0aNZGmac9ANoVar0a5dO1m60q2AbJlm0LlixQps2bJFMozcz88Pw4YNs1ibNPuEr6+vouHfZFsYnBJRg6RtYRN9cwH37dsn27dv5syZ+Oijj4xavEHJBzRtIiMj8fbbb2PXrl3IysrC+fPn8c0332DUqFFag1UhBN555x38/PPPWsvTtqCSudraUNy5c0fr0/WePXtqvd7b21s2p4q/U+P88ssvkuOgoCDs3r3b6IWJ6tPvXdviVqYsAmSNBYR8fX1lQbbSbUK0PfXWXAWbavbYY49JtiZLTk7Gyy+/LLnm6aeftugespp9IiQkxGJ1U/3F4JSIGiRtAVx6errO6//44w/Jsb29vWSBCUNpLmpkDnZ2dmjfvj2mT5+O9evXIzU1FatXr0abNm1k17755ptaF5wICAiQrc5448YNs7e1Pvv6669lC704OjrikUce0Xq9SqVCQECAJC05OZkLfhjo8uXLsg+vL730ktFzKMvKyurV/onanjqash9sbGysKc1RTHPbI6XvwWOPPSZLO3TokMkrNtsatVqNZ555RpJ269YtybElh/RWVlbi9u3bkjTNPkOkDYNTImqQtD1N0DecSHMVx9atWytadVbbsFBzc3JywlNPPYVTp06hU6dOknPJycmyLWMAwNnZWbaSZVxcnNYFgGxRYWEhoqOjZelDhw7VGyzdf//9snI4X84w2lZOVbK375kzZxQtxmMt9957r2z1Z1P6jLX6W4cOHSTHCQkJihaiioqK0jqv29wL09kCfcFnp06dTNrmylhXr16VfVGnbzVloioMTomoQdL2NKFJkyY6r9d8qqpkS4mysjJs3rzZ6HxKubu7Y+7cubL08+fPa71+wIABsrSNGzeavV310QsvvKD1yforr7yiNx9/p8pp+30r+X+3du1aczTHYuzs7NC1a1dJ2t69exXtzRoTE2PxPU6raL6GsrIyRU9xVSoVZs6cKUtfsmQJzp49q7R5NikiIkLnHHlLPjUFtE+j0ewzRNowOCWiBicrKwuHDh2SpYeFhenMo7mCoL4hwLqsXr1aNm+1tmnb41DXHDRtC2F8+umnNj8M9auvvpKtaAn889S0pid5jz76qOyJfHR0tKJAw9ZoW7XT2P932dnZsq0y6oNBgwZJjouLi7X2wZosWbLEXE0yWvfu3WVpSvf4nTZtmmwxtdLSUjz99NP1arGrukBbEOrk5CQb8lvbNPuCSqVicEoGYXBKRA3O/PnztQ7z0za3qUrTpk0lx3Fxcbh+/brBdd65cwevvfaawdebi7ZgWHMeZJWePXvKVn6Nj4/H7Nmza6NpdV5JSQlmzJghWzQE+OcJ3tdff11jGSEhIRg3bpwkLTc3F5MmTYIQwmxtbYg0/88BwO+//25UGTNmzKiXXwRMmjQJTk5OkrR58+YZtR/xpUuXrDr0tUuXLrIn3QcOHFBUlpOTE7777jvZvPjLly9j8ODB3LbJCFOnTkVKSorkJzk5GT4+PhZth2ZfiIyM1LowH5EmBqdE1KB88cUXWLRokSy9X79+CA0N1ZlP2xOyN99806A6MzIyMGTIEEVPW7du3Yply5ahpKTE6LwA8OWXX8rS9M3r+eCDD2QfAL/66ivMnTtXcTB18eJFjB8/vt58gCwpKcHKlSvRpUsXfPPNN7LzarUaa9asQXBwsEHlzZkzRxZobN68Gc8//7zi9/X69euYOXNmjXvz1medOnWSzb388ssvDV5Y5/3339e5OnVd5+/vj6efflqSlpGRgVGjRhk0fzY1NRUjR45UNMfTXOzs7DBw4EBJWk37Levz8MMPa93Oa+/evejRo4fJc2s199JtqBwcHNCkSRPJz92r+FpCUVGRbO2DwYMHW7QNVH8xOCWiei8lJQWrVq1Cz5498eqrr8rOOzo6YvHixXrLeOSRR2RbI6xbtw7PPvus3n0Ef//9d/To0QMnT54EoH2VYH3i4+MxefJkBAcHY9asWTh48CAqKytrzJeeno4JEybI5ri2adNG79Cpnj17ap2n+v7776Nfv34GP/nIyMjADz/8gAEDBqBDhw5YuXKlbKXbuqKyshKXL1/G8uXLMW3aNAQHB2P8+PFaAz9XV1ds2LBBtqG9Pvfccw++++47WfoPP/yA7t27Y/v27QYF/nl5eVi9ejWGDx+O0NBQfP311/VqoR9jOTo6Yvjw4ZK0rKws9O/fX+e8aeCfFUiffvppST829v9dXbBw4ULZk6S9e/eiX79+uHz5ss58Bw8eRK9evarndxqz1ZW5ab5/V65cQWJiouLyPvroI4wdO1aW/vfff6NLly547LHHcPDgQYPvNRUVFdi/fz+efPJJrfNaqXYcOHAApaWlkjRL7q9K9ZtDzZcQEVneyZMna1xZsKCgAJmZmXr3OHRwcMDPP/+M++67T29ZPj4+ePXVV/H+++9L0n/88Uds3rwZo0ePRufOneHj44Ps7GzEx8dj+/btuHDhQvW19vb2+PLLLzFp0qSaX6CG1NRULFq0CIsWLYKfnx86d+6Mjh07Ijg4GN7e3nBxcUFhYSFu3LiBEydO4I8//pDNxVKpVAYNRZ0zZw5iY2Nle0zu3bsXvXv3Rps2bdCnTx+Eh4fD19cXTk5OyM7ORlZWFi5duoRTp07h8uXLdSIYnTNnDr744gtZekVFBXJzc5GdnY28vDyDgsN27dphzZo1aNeundHtmDBhAi5fvoyFCxdK0s+ePYuhQ4ciODgYffv2RUREBPz8/ODq6oqcnBxkZ2cjLi4Op06dwoULF2Qf6Bq6d999F2vXrpU8AYyLi0OnTp3wyCOPoF+/fmjevDnKy8uRkpKCvXv3Yvfu3ZIn0pMnT8a1a9fq3d6YAQEBiI6OxujRoyX988iRI+jQoQP69euHhx56CM2aNUN5eTkSExOxY8cOHDt2rPp6d3d3zJ49G/PmzbPKa3jsscfg6emJ3Nzc6rRff/1V65eEhlCpVPjpp5/g6+uLr776SnZ+27Zt2LZtGzw9PfHggw+iY8eO8PPzg5+fH9zc3FBQUID8/Hxcv34dsbGxOHz4sM6h0iqVCkFBQYraSfr9+uuvkuPw8HCdCzURyQgiIitLSEgQAMz+06RJE7Ft2zaD21FaWip69+6tqC6VSiW+++47ra9l2bJlOutctGiRWV6rSqUSixYtMvi1VlRUiLfffluoVCqz/b7T0tIMrl+JuXPn1ko/ad68ufjqq69EWVmZyW38+uuvhVqtNlvbTpw4obe+CRMmSK4PCQlR1O6QkBBJORMmTDC6DGP7fpXo6GjFv59+/fqJ4uJiERUVJUmPioqqsd49e/bIytuzZ4/Rr1sI035/0dHRiv4fOjg4iK1bt4ply5bJziUkJCh6HUpMmTJFUnfPnj3NUu66deuEv79/rfyfj4qKEidPnjSoHdruO4b0a1Npe19XrlxZq3X2799fVqexKioqRKNGjSRlLFy4sBZaSw0Vh/USUYPj7++P1157DbGxsRgyZIjB+RwdHbF161aj8gCAt7c31q1bh+eff97YpsLPzw8ODqYNYgkJCcGWLVtq3PbkbnZ2dvjggw/wv//9z+S957y8vPDss8/K5g/WZW5ubhg5ciTWrVuH+Ph4zJw50+T3AQBefPFFHDhwAL169TKpHBcXFzz55JMGz3utz6ZOnYpvv/0WarXaqHyTJ0/G//73P9l83/pm6tSp+Pnnn43aRsfHxwdbtmzB0KFDa7FlhnnhhRckx4cPHzZqMTldRo8ejStXruDNN9/Uu9ewodRqNYYPH44dO3Zg7969iIyMNLlMktu9ezdSU1Orj52cnDBx4kTrNYjqHQanRFRvqdVq+Pv7o1WrVhg4cCDeeustbNu2Dbdu3cInn3yi6AONl5cXtm7dip9//lm2ybymRo0a4fXXX8fff/+NUaNGKXoN48aNQ1paGtasWYMpU6YgLCxMtmCRNnZ2dujduzeio6MRGxur+EPqI488grNnz2Lbtm0YMWKEwR+QW7Zsieeeew4bNmxASkoKlixZAmdnZ0VtqA2Ojo5wc3NDkyZN0L59ewwYMADTpk3DV199hWPHjiE7OxsbNmzA6NGj4ejoaNa6u3XrhgMHDuDAgQN45plnEBgYaFC+wMBAjBs3DitWrEBKSgrWrFmDRo0ambVtddW0adNw+vRpjBkzRu/7oVarMXToUOzfvx8//vhjvQ9Mqzz11FOIjY3FjBkzdK62Dfxzf5o5c2b1KrZ1QZcuXdC7d+/qYyGE2ba48fb2xscff4zk5GT89NNPePzxx41adTY4OBgjR47EN998g5SUFGzatKnO/N4aqu+//15yPHbsWJu5j5F5qITgWvdERLokJibiyJEjuHPnDnJzc+Hs7IzAwECEh4ejQ4cOBgWSxsrJycGVK1cQHx+P1NRU5Ofno6KiAh4eHvD29kabNm3Qvn17rftEmkoIgQsXLuDatWvIyMhARkYGKisrq+tu1aoVwsLC4O3tbfa6G7K4uDhcvny5+ndaVlYGDw8PeHp64p577kHbtm35Ae7/KygowOHDhxEfH4/MzEyoVCr4+vqidevW6Nq1a716Qq9EeXk5jhw5goSEBKSkpEAIAX9/f4SHh6NLly5m/zLFHLZu3SpZ8KZJkyZITEystbbGx8cjLi4OSUlJyMnJQXFxMZycnODt7Q1vb2/4+/ujffv23LrEwu7cuYOgoKDqOeQqlQoXLlxAeHi4lVtG9QmDUyIiIiJSTAiBLl264PTp09VpK1askO0BTA3bnDlzMH/+/OrjUaNGYf369VZsEdVHDE6JiIiIyCQ7d+6UDJkNDw/HhQsXamV0CdU9+fn5CA4Ort7v2t7eHhcvXkTbtm2t3DKqbzjnlIiIiIhMMmjQIMnc05iYGGzZssWKLSJLio6Org5MAWD8+PEMTEkRPjklIiIiIpOdO3cOkZGR1Xsgh4eH49y5c7C3t7dyy6g25ebmomXLltV7ynp6euLvv/9GkyZNrNwyqo/45JSIiIiITBYREYHp06dXH8fExGDZsmVWbBFZwsKFC6sDUwCYN28eA1NSzPRN3YiIiIiIAMyfPx9+fn6oGphXWVlp5RZRbfP29sbcuXMB/LPd04wZM6zcIqrPOKyXiIiIiIiIrI7DeomIiIiIiMjqGJwSERERERGR1TE4JSIiIiIiIqtjcEpERERERERWx+CUiIiIiIiIrI7BKREREREREVkdg1MiIiIiIiKyOganREREREREZHUMTomIiIiIiMjqGJwSERERERGR1TE4JSIiIiIiIqtjcEpERERERERWx+CUiIiIiIiIrI7BKREREREREVkdg1MiIiIiIiKyOganREREREREZHUMTomIiIiIiMjqGJwSERERERGR1TE4JSIiIiIiIqtjcEpERERERERWx+CUiIiIiIiIrI7BKREREREREVkdg1MiIiIiIiKyOganREREREREZHUMTomIiIiIiMjqGJwSERERERGR1TE4JSIiIiIiIqtjcEpERERERERWx+CUiIiIiIiIrI7BKREREREREVkdg1MiIiIiIiKyuv8HNCD+ZotWg10AAAAASUVORK5CYII=" - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# Select node of interest\n", - "nodeID = '32'\n", - "\n", + "nodeID = '32'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6db63094", + "metadata": {}, + "outputs": [], + "source": [ "# Select number of iterations\n", - "r = d.arange(1.0, 10.1, 0.5)\n", - "\n", - "d.openHydraulicAnalysis()\n", - "\n", - "nodeIndex = d.getNodeIndex(nodeID)\n", - "\n", + "r = d.arange(1.0, 10.1, 0.5)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3eb3d86b", + "metadata": {}, + "outputs": [], + "source": [ + "d.openHydraulicAnalysis()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b1adba8a", + "metadata": {}, + "outputs": [], + "source": [ + "nodeIndex = d.getNodeIndex(nodeID)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "79e3207d", + "metadata": {}, + "outputs": [], + "source": [ "categoryIndex = 1\n", - "B = d.getNodeBaseDemands()[categoryIndex][nodeIndex-1]\n", - "D = [i * B for i in r]\n", - "\n", + "B = d.getNodeBaseDemands()[categoryIndex][nodeIndex - 1]\n", + "D = [i * B for i in r]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c2986059", + "metadata": {}, + "outputs": [], + "source": [ "P = []\n", "for i in range(len(D)):\n", " d.setNodeBaseDemands(nodeIndex, D[i])\n", " d.initializeHydraulicAnalysis()\n", " d.runHydraulicAnalysis()\n", - " P.append(d.getNodePressure(nodeIndex))\n", - "\n", - "d.closeHydraulicAnalysis()\n", - "\n", - "d.plot_ts(X=D, Y=P, xlabel='Base Demand (' + d.units.NodeDemandUnits + ')',\n", - " ylabel='Pressure (' + d.units.NodePressureUnits + ')',\n", - " marker='x', figure_size=[3, 2.5], constrained_layout=True)" + " P.append(d.getNodePressure(nodeIndex))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "df035682", + "metadata": {}, + "outputs": [], + "source": [ + "d.closeHydraulicAnalysis()" ] }, { "cell_type": "code", - "execution_count": 9, - "id": "8ec248d1", + "execution_count": null, + "id": "02fc33a8", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Close toolkit for the input file \"Net1\". EPANET Toolkit is unloaded.\n", - "\n" - ] - } - ], + "outputs": [], + "source": [ + "d.plot_ts(X=D, Y=P, xlabel=f'Base Demand ({d.units.NodeDemandUnits})',\n", + " ylabel=f'Pressure ({d.units.NodePressureUnits})',\n", + " marker='x', figure_size=[3, 2.5], constrained_layout=True)\n", + "d.plot_show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "92f3168c", + "metadata": {}, + "outputs": [], "source": [ "# Unload library\n", "d.unload()" @@ -103,27 +135,10 @@ } ], "metadata": { - "kernelspec": { - "display_name": "Python 3.10.6 64-bit (windows store)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.6" - }, - "vscode": { - "interpreter": { - "hash": "0df096debc758afc4e07b4a6d7176310e13b87e5b446a84739768769d4d90649" - } + "jupytext": { + "cell_metadata_filter": "-all", + "main_language": "python", + "notebook_metadata_filter": "-all" } }, "nbformat": 4, diff --git a/examples/notebooks/Toolkit_EX3_Minimum_chlorine_residual.ipynb b/examples/notebooks/Toolkit_EX3_Minimum_chlorine_residual.ipynb index b5efb53..2705c50 100644 --- a/examples/notebooks/Toolkit_EX3_Minimum_chlorine_residual.ipynb +++ b/examples/notebooks/Toolkit_EX3_Minimum_chlorine_residual.ipynb @@ -1,78 +1,132 @@ { "cells": [ { - "cell_type": "markdown", - "id": "dfab6fd7", + "cell_type": "code", + "execution_count": null, + "id": "4ca02990", "metadata": {}, + "outputs": [], "source": [ - "### Minimum chlorine residual\n", - "This example illustrates how the Toolkit could be used to determine the lowest dose of chlorine applied at the entrance to a distribution system needed to ensure that a minimum residual is met throughout the system. We assume that the EPANET input file contains the proper set of kinetic coefficients that describe the rate at which chlorine will decay in the system being studied. In the example code, the ID label of the source node is contained in SourceID, the minimum residual target is given by Ctarget, and the target is only checked after a start-up duration of 5 days (432,000 seconds). To keep the code more readable, no error checking is made on the results returned from the Toolkit function calls.\n", + "\"\"\" This example illustrates how the Toolkit could be used to determine the lowest dose of \n", + "chlorine applied at the entrance to a distribution system needed to ensure that a minimum \n", + "residual is met throughout the system. We assume that the EPANET input file contains the proper \n", + "set of kinetic coefficients that describe the rate at which chlorine will decay in the system being \n", + "studied. In the example code, the ID label of the source node is contained in SourceID, the minimum \n", + "residual target is given by Ctarget, and the target is only checked after a start-up duration of 5 \n", + "days (432,000 seconds). To keep the code more readable, no error checking is made on the results \n", + "returned from the Toolkit function calls.\n", "\n", - "https://github.com/OpenWaterAnalytics/EPANET/wiki/Example-3\n" + "https://github.com/OpenWaterAnalytics/EPANET/wiki/Example-3\n", + "\"\"\"\n", + "from epyt import epanet" ] }, { "cell_type": "code", - "execution_count": 19, - "id": "5a87b170", + "execution_count": null, + "id": "480aa633", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "EPANET version 20200 loaded (EPyT version 1.0.5).\n", - "Input File Net1.inp loaded successfully.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ - "from epyt import epanet\n", - "\n", "# Load a network\n", "d = epanet('Net1.inp')" ] }, { "cell_type": "code", - "execution_count": 20, - "id": "51d4f569", + "execution_count": null, + "id": "e7dc8ea1", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "csourse = 0.1\n" - ] - } - ], + "outputs": [], "source": [ "# Set Ctarget\n", - "Ctarget = 0.5\n", - "\n", + "Ctarget = 0.5" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ec95960a", + "metadata": {}, + "outputs": [], + "source": [ "# Source node id\n", - "SourceID = '2'\n", - "\n", + "SourceID = '2'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "440af1bc", + "metadata": {}, + "outputs": [], + "source": [ "# Set simulation duration 6 days\n", - "d.setTimeSimulationDuration(6 * 24 * 3600)\n", - "\n", + "d.setTimeSimulationDuration(6 * 24 * 3600)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9246b004", + "metadata": {}, + "outputs": [], + "source": [ "# Obtain a hydraulic solution \n", - "d.solveCompleteHydraulics()\n", - "\n", + "d.solveCompleteHydraulics()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "254739b4", + "metadata": {}, + "outputs": [], + "source": [ "# Get the number of nodes\n", - "nnodes = d.getNodeCount()\n", - "\n", + "nnodes = d.getNodeCount()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6e4e197f", + "metadata": {}, + "outputs": [], + "source": [ "# Get source node's index\n", - "sourceindex = d.getNodeIndex(SourceID)\n", - "\n", + "sourceindex = d.getNodeIndex(SourceID)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fc99517f", + "metadata": {}, + "outputs": [], + "source": [ "# Setup system to analyze for chlorine (in case it was not done in the input file.)\n", - "d.setQualityType('Chlorine', 'mg/L', '')\n", - "\n", + "d.setQualityType('Chlorine', 'mg/L', '')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ea94746f", + "metadata": {}, + "outputs": [], + "source": [ "# Open the water quality solver\n", - "d.openQualityAnalysis()\n", - "\n", + "d.openQualityAnalysis()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4862d6c6", + "metadata": {}, + "outputs": [], + "source": [ "# Begin the search for the source concentration\n", "csource = 0.0\n", "violation = 0\n", @@ -91,26 +145,25 @@ " if c < Ctarget:\n", " violation = 1\n", " break\n", - " tstep = d.nextQualityAnalysisStep()\n", - "\n", + " tstep = d.nextQualityAnalysisStep()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "27bd5a0b", + "metadata": {}, + "outputs": [], + "source": [ "print('csourse = ' + str(csource))" ] }, { "cell_type": "code", - "execution_count": 21, - "id": "bad88a46", + "execution_count": null, + "id": "ba7442e5", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Close toolkit for the input file \"Net1\". EPANET Toolkit is unloaded.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ "# Unload library\n", "d.unload()" @@ -118,27 +171,10 @@ } ], "metadata": { - "kernelspec": { - "display_name": "Python 3.10.6 64-bit (windows store)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.6" - }, - "vscode": { - "interpreter": { - "hash": "0df096debc758afc4e07b4a6d7176310e13b87e5b446a84739768769d4d90649" - } + "jupytext": { + "cell_metadata_filter": "-all", + "main_language": "python", + "notebook_metadata_filter": "-all" } }, "nbformat": 4, diff --git a/examples/notebooks/Toolkit_EX4_Network_Building.ipynb b/examples/notebooks/Toolkit_EX4_Network_Building.ipynb index 23070eb..e1dc7a8 100644 --- a/examples/notebooks/Toolkit_EX4_Network_Building.ipynb +++ b/examples/notebooks/Toolkit_EX4_Network_Building.ipynb @@ -1,108 +1,125 @@ { "cells": [ { - "cell_type": "markdown", - "id": "50a18520", + "cell_type": "code", + "execution_count": null, + "id": "884841cd", "metadata": {}, + "outputs": [], "source": [ - "### This example shows how a network can be built just through toolkit function calls. \n", + "\"\"\" This example shows how a network can be built just through toolkit function calls, \n", + " eliminating the need to always use an EPANET formatted input file. \n", + " This creates opportunities to use other sources of network data in one's code,\n", + " such as relational database files or GIS/CAD files.\n", + " \n", "Eliminate the need to always use an EPANET formatted input file. \n", "This creates opportunities to use other sources of network data in one's code,\n", "such as relational database files or GIS/CAD files.\n", "\n", "Below is a schematic of the network to be built.\n", "\n", - "http://wateranalytics.org/EPANET/_example2.html" + "http://wateranalytics.org/EPANET/_example2.html\n", + "\"\"\"\n", + "from epyt import epanet" ] }, { "cell_type": "code", "execution_count": null, + "id": "4e26346f", + "metadata": {}, "outputs": [], - "source": [], - "metadata": { - "collapsed": false - } + "source": [ + "# Create an empty INP file\n", + "testinp = 'TESTING.inp'\n", + "d = epanet(testinp, createinp=True, ph=True)" + ] }, { "cell_type": "code", - "execution_count": 1, - "id": "839794bc", + "execution_count": null, + "id": "b5ada386", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "EPANET version 20200 loaded (EPyT version 1.0.5).\n", - "Input File TESTING.inp loaded successfully.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ - "from epyt import epanet\n", - "\n", - "# Create an empty INP file\n", - "testinp = 'TESTING.inp'\n", - "d = epanet(testinp, 'CREATE')" + "# Initialize epanet flow units \n", + "d.initializeEPANET(d.ToolkitConstants.EN_GPM, d.ToolkitConstants.EN_HW)" ] }, { "cell_type": "code", - "execution_count": 2, - "id": "46c417cd", + "execution_count": null, + "id": "7ad6f30c", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "EPANET version 20200 loaded (EPyT version 1.0.5).\n", - "Input File TESTING.inp loaded successfully.\n", - "\n" - ] - }, - { - "data": { - "text/plain": "

    ", - "image/png": "iVBORw0KGgoAAAANSUhEUgAAA6YAAAJ6CAYAAAA7CV8LAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAC4jAAAuIwF4pT92AABU4klEQVR4nO3dd3xUVcLG8WfSSUIooYQeCNKlBxIFCQg2qqCIdPu6rKuuXVcX9KUF7OIqoKKIsLh0BZUWehNI6D2hSwk1hLSZ+/6BZIkJGCDJmfL7+slHc+6dO8+NgcmTc88dm2VZlgAAAAAAMMTLdAAAAAAAgGejmAIAAAAAjKKYAgAAAACMopgCAAAAAIyimAIAAAAAjKKYAgAAAACMopgCAAAAAIyimAIAAAAAjKKYAgAAAACMopgCAAAAAIyimAIAAAAAjKKYAgAAAACMopgCAAAAAIyimAIAAAAAjKKYAgAAAACMopgCAAAAAIyimAIAAAAAjKKYAgAAAACMopgCAAAAAIyimAIAAAAAjKKYAgAAAACMopgCAAAAAIyimAIAAAAAjKKYAgAAAACMopgCAAAAAIyimAIAAAAAjKKYAgAAAACMopgCAAAAAIyimAIAAAAAjKKYAgAAAACMopgCAAAAAIyimAIAAAAAjKKYAgAAAACMopgCAAAAAIyimAIAAAAAjKKYAgAAAACMopgCAAAAAIzyMR0AAAAAcDYOh0N2u12WZZmOAtwQm80mLy8veXt7m46SLxRTAAAA4Hfp6ek6efKkzp07ZzoKUCD8/f0VEhKi0qVLy8vLeS+YtVn8GggAAABQVlaWEhMT5efnp9KlS8vf3990JOCm2O12paSk6PTp0ypWrJgqVarktOWUYgoAAABIOnr0qC5evKjw8HCn/eEduBEZGRlKSkpS6dKlVaZMGdNx8sSfOAAAAEDShQsXVLJkSUop3I6fn59Kliyp8+fPm45yVfypAwAAgMez2+3KzMxUsWLFTEcBCkVwcLDS0tJkt9tNR8kTxRQAAAAez+FwSJLL3MEUuF4+Ppfue3v5e93ZUEwBAADg8bjtCjyFs36vU0wBAAAAAEbxPqYAAKdwUlJXSZd/j2uTNFtSqLFEAACgqFBMAQBO4RtJK/MYe95AFgAAULS4lBcAYJwlaWwe45/rfzOoAICiZ7PZcnx4eXmpZMmSat26tcaPH59rvaLNZlN4eLiZsHBpzJgCAIqcpUuX7l62VtLOPPbbKWmupBZXjJXRpct8AQBFZ8CAAZIuva3O3r17tWLFCi1fvlwLFy7U5MmTDaeDO7BZznpbJgCA29ogqdkNPna9pKYFmAUAJCkjI0N79+5VRESE/Pz8TMdxGjbbpV8F/rEyzJ8/X/fdd5+ysrI0Z84cderUSZK0Y8cO+fr6KiIiosiz4tqc/XucS3kBAEVu6k089vsCSwEAuFEdOnRQv379JEkzZ87MHq9Tpw6lFDeEYgoAKFKWbq5cfi/WnQKAM2jSpIkk6eDBg9ljea0xjYuLk81m08CBA3X06FENHDhQ5cuXV7FixdS0aVN98803V32OU6dO6bXXXlO9evVUrFgxlShRQu3atdMPP/yQ5/5btmxR3759VaNGDQUEBKhs2bJq3LixnnvuOR09evTmTxqFhjWmAIAidVBS0k08PvH3Y1QtkDQAgBt1/vx5SZK/v3++9j916pSioqKUnp6umJgYnT59WosXL9aAAQO0b98+DR48OMf+u3btUvv27XXw4EGFh4fr7rvv1vnz57V69Wp17txZo0aN0osvvpi9//r169WqVSulpaWpYcOG6tq1q1JTU7Vv3z59+OGH6tatmypUqFBg54+CRTEFABSpqpIWSWovKes6H+sraYEopQBgmmVZ2bOWDRs2zNdj5syZow4dOmjGjBkKCgqSJK1bt07t2rXTO++8oy5duqhp00t3EbDb7XrggQd08OBBxcbG6oUXXpCX16WLPffs2aO77rpLr776qu655x41aNBAkvTRRx8pLS1No0eP1gsvvJDjuXfs2KESJUoUyLmjcFBMAQBFro2kw5J6S1qYz8fcKek7SeUKKxQA5MPzX61USlqm6RjXFBzgq/cfua1Qjm2327Vv3z4NGzZMq1atkr+/vx555JF8PdbLy0sff/xxdimVpMjISA0aNEgjR47Up59+qvHjx0u6VGI3b96sHj166KWXXspxnJo1a+rdd99V9+7dNW7cOH344YeSpBMnTkiS2rdvn+u569Spc0Pni6JDMQUAGFFOUhflv5h2FaUUgHmFVfic3eW7816pePHi+vrrr/N9s6PGjRurdu3aucYffvhhjRw5UsuWLcse++WXXyRJ3bt3z/NYrVu3liStXbs2e6xZs2aaN2+eBg0apP/7v/9Tq1at5OND3XEV/J8CABizvpD2BQAUrMvvY+rl5aWQkBDdeuut6t69u0qVKpXvY1SrVi3P8cs3Szpy5Ej2WFJSkiSpT58+6tOnz1WPefLk/94V+6WXXtLy5csVFxentm3bKjg4WNHR0erYsaMGDhzIpbxOjmIKADBmaSHtCwAoWBMmTCjS53M4HJKke+65R+XLl7/qfmXKlMn+75CQEC1atEgrVqzQnDlzFBcXp0WLFmn+/PkaPny4li1bpltuuaXQs+PGUEwBAEY4rjJeQdLZC+lKDcp5l0fr98fwPmcA4Jr2799/zfGKFStmj1WuXFmS9Pjjj6tHjx75fg6bzaZWrVqpVatWkqTjx4/rueee0+TJk/XGG29o6tSbeSdtFCZe3wEARnhJ2iTpWUmXVy61lhQv6f7v16v1Ffs9+/u+vGgBgOuKj4/X7t27c41PmTJFkrLLpCR16NBBkjRjxoybes5y5cplvw3Nli1bbupYKFy8xgMAjCku6QNJayS9LylOl25wVOxipuJ+H1v9+z7FTQQEABQYh8OhZ555Rqmpqdlj69ev1yeffCKbzaann346e7xHjx6qV6+eJk2apHfeeUfp6ek5jmVZllasWKEVK1Zkj3322WdKTEzM9bxz586VJFWpUqWgTwkFiEt5AQDGRf7+cSUvSc8VfRQAQCHp1KmTEhISFBERoTvuuENnz57VokWLlJmZqX/+859q3rx59r4+Pj6aOXOm7r77br311lv65JNP1LBhQ5UrV04nT55UfHy8jh8/rvfff1+33367pEvF9Omnn1a9evVUt25d+fj4aMeOHUpISFBAQIDeeustU6eOfKCYAgAAACh0oaGhWr16tV555RX9/PPPOnfunOrVq6fnnntOAwcOzLX/Lbfcoo0bN+qTTz7R9OnTtXr1amVlZSksLExNmjRRly5d1LNnz+z933nnHc2cOVNr1qzRwoULlZGRocqVK+vxxx/Xiy++mOdb1cB5UEwBAAAA5MmyrALdv2LFipo4cWK+j1eiRAm98cYbeuONN/50386dO6tz5875PjacC2tMAQAAAABGUUwBAAAAAEZRTAEAAAAARrHGFAAAAEChiYmJue61qvA8zJgCAAAAAIyimAIAAAAAjKKYAgAAAACMopgCAAAAAIyimAIAAAAAjKKYAgAAAACMopgCAAAAAIyimAIAAAAAjKKYAgAAAACMopgCAAAAyJPNZsvx4eXlpZIlS6p169YaP368LMsyHRFuwsd0AAAAAADObcCAAZIku92uvXv3asWKFVq+fLkWLlyoyZMnG04Hd0AxBQAAAHBNEyZMyPH5/Pnzdd9992nKlCnq06ePOnXqZCYY3AaX8gIAAAC4Lh06dFC/fv0kSTNnzjQbBm6BYgoAAAAUhf2S4vLxsb+Ic92gJk2aSJIOHjwoSUpKSpLNZlNMTEye+w8ePFg2my3X7Gt4eLhsNpskacyYMWrQoIGKFSum6tWrKzY2Nnsd64YNG9S5c2eVLl1awcHB6tq1q/bvz/3FGjhwoGw2m+Li4jRv3jy1atVKwcHBKlWqlLp3764dO3bkmW/u3Lnq0KGDKlWqJH9/f1WsWFGtWrXSkCFDbuTLg+tEMQUAAACKwnlJbf/ko93v+7mA8+cvBfX39y+Q4z3//PN66aWXVK1aNbVv317Jycl65ZVXNHjwYK1YsUKtW7fWkSNH1KFDB1WoUEGzZ8/WnXfeqYsXL+Z5vO+//14dO3ZURkaGOnfurIoVK2rGjBmKiopSQkJCjn3HjBmjjh07avHixapZs6Z69OihBg0aaP/+/Ro8eHCBnB+ujTWmAAAAQFFoIOlBSd9fY58Hf9/PyVmWpR9++EGS1LBhwwI55tSpU7V582ZFRERIknbs2KHGjRtr9OjR+uabb/Tuu+/qL3/5iyQpIyND9957rxYtWqQpU6bokUceyXW8Tz/9VGPHjtUTTzyRnfm1117TyJEjNXDgQG3cuDF739jYWNlsNq1evVrNmzfPcZ5LliwpkPPDtTFjCgAAABSVt66xzSbpzaIKcmPsdrt2796tRx99VKtWrZK/v3+epfBGvP3229mlVJLq1Kmj++67T6mpqapcuXJ2KZUkPz8/Pfvss5J01eJ42223ZZdS6dJb37zzzjuqXLmy4uPjtXz58uxtJ06cUMmSJXOU0suPudqlyShYFFMAAACgqFyeNc2LE8+WXn4fUx8fH9WqVUsTJkxQ8eLFNXny5Bxl8mbcdddducZq1Kjxp9uOHj2a5/F69eqVa8zX11cPPPCAJGnZsmXZ482aNdPp06f12GOPaevWrdcfHjeNS3kBAACAovSW8r6c14lnSy+/j6mXl5dCQkJ06623qnv37ipVqlSBPUelSpVyjQUHB//ptvT09DyPV61atTzHw8PDJUlHjhzJHhszZoy6deumL7/8Ul9++aXKly+vNm3aqHv37nrggQfk7e19XeeC60cxBQAAAIpSXmtNe8ppZ0ul3O9jeiMcDsc1t3t5Xf1izmttKwgNGzbUtm3b9NNPP2nu3LmKi4vT1KlTNXXqVEVHRysuLk5+fn6FmsHTcSkvAAAAUNSuXGvqAmtL8+NycUtJSclz++W3lSkqeb2VzJXjFStWzDEeEBCgbt26aezYsdq1a5e2bNmihg0batWqVRo/fnyh5/V0FFMAAACgqF251tSJ15ZejzJlysjHx0eJiYnKysrKsS0zM7PI7247derUXGNZWVmaNm2aJKlVq1bXfHz9+vU1aNAgSdKWLVsKPiByoJgCAAAAJrylSz+Nu8FsqXRpxjQ6OlqnTp3SmDFjssezsrL0wgsvKDExsUjzLF++XF9++WWOsX/96186cOCAGjZsqNatW0uSUlNT9dFHH+nMmTM59nU4HPrpp58kSVWqVCmSzJ6MNaYAAACACQ0kfSe3mC297K233tLdd9+t5557Tv/5z38UFham9evXKzU1VQMGDNDXX39dZFmefvppPf744/r8888VERGhTZs2aevWrQoJCcmxZjYjI0PPPvusXnzxRTVr1kzh4eHKyMjQunXrdPDgQYWHh+vJJ58sstyeihlTAAAAwJSHTAcoWO3bt9fs2bMVGRmpDRs2aMmSJYqKitK6deuy74ZbVHr27KnZs2fL29tbs2bN0qFDh9S1a1etWrVKTZo0yd4vODhYY8aMUefOnXXixAnNnj1bixYtUqlSpTRkyBCtX79eoaGhRZrdE9ksy7JMhwAA4EpP/HuJxj3dxnQMAB4kIyNDe/fuVUREBHdfdXEDBw7U119/rcWLFysmJsZ0HKfh7N/jzJgCAAAAAIyimAIAAAAAjKKYAgAAAACMopgCAAAAcBsTJkyQZVmsL3UxFFMAAAAAgFEUUwAAAACAURRTAAAAAIBRFFMAAAAAgFEUUwAAAACAURRTAAAAAIBRFFMAAAAAgFEUUwAAAACAURRTAAAAAIBRPqYDAAAAAJ7kpKSukqzfP7dJmi0p1FgiwDxmTAEAAIAi9I2klZJW/f6x8vcxZ2Kz2a7rIzw8vNAzhYeHy2azFfrzwAxmTAEAAIAiYkkam8f455Ke06XZU2cwYMCAXGPLly/X3r171ahRIzVu3DjHtjJlyhRRMrgriikAAABQSCxdunT3srWSduax305JcyW1uGKsjMwV1QkTJuQaGzhwoPbu3atu3bpp8ODBRZ4J7o1iCgAAABSSjZKa5XPfTn/4fL2kpgUbB3BarDEFAAAACsnUm3js9wWWonDt2bNHgwcPVnR0tMLCwuTn56fKlSurf//+2rVrV56Pubwu1W63a+TIkapVq5b8/f1VpUoVvfLKK0pPT8/38x86dEj16tWTzWZTbGxs9viJEyf06quvql69egoODlaJEiVUq1Yt9e/fX2vXrr3p80bBYsYUAAAAKASWbq5cfi9pmJxn3enVjB8/XrGxsWrQoIEiIyPl7++vbdu2aeLEiZo1a5aWLVumhg0b5vnY3r17a+7cuYqJiVHt2rW1bNkyxcbG6vDhw/r222//9Ll37dqlu+66S4cOHdK4ceP0+OOPS5LOnz+vli1bKjExUVWqVFGHDh3k4+OjAwcOaMqUKapRo4ZatGjxJ0dHUaKYAgAAAIXgoKSkm3h84u/HqFogaQpPt27d9NRTT6l69eo5xr/66is9+uijeu6557Ro0aJcj9u/f78CAwO1e/duhYWFSZISExPVtGlTTZo0SUOGDFFERMRVn3fDhg265557dO7cOU2dOlXdu3fP3vbf//5XiYmJ6tKli2bMmCEvr/9dKHrixAkdO3bsZk8bBYxLeQEAAIBCUFXSIt3YTJCvpMVy/lIqSVFRUblKqSQ98sgjuv322xUXF6ezZ8/m+diPPvoou5RKUvXq1dW3b19J0rJly676nEuWLFHbtm118eJF/fjjjzlKqXSpfEpSu3btcpRSSSpbtqwaNGiQv5NDkWHGFAAAACgkbSQdltRb0sJ8PuZOSd9JKldYoQpBSkqK5syZo/j4eJ06dUqZmZmSpKNHj8qyLO3du1dNm+a8lZOvr6/atm2b61i1atXKfmxeZs+erYceekhBQUGaO3dunpfkNmt26ZZTo0aNUvny5dWxY0cVL178ps4RhYtiCgAAABSicpK6KP/FtKtcq5QuWrRIvXr1yp6lzMv58+dzjYWFhcnb2zvX+OUCebUbIPXo0UNZWVmKi4u76jrRO++8U88//7w++OADPfzww/Lx8VHTpk3VoUMHPfroo6pRo0Z+Tg1FiEt5AQAAgEK2vpD2NS0lJUU9e/bUyZMn9dZbb2nbtm26cOGCHA6HLMvSww8/LEmyLCvXY/94iW1+XT7miy++qJSUlKvu995772n79u0aOXKk2rZtqy1btmjo0KGqU6eOpk2bdkPPjcJDMQUAAAAK2dJC2te0ZcuWKTk5WT169NCQIUNUt25dBQYGyma7dC/hffv2FfhzfvXVV+rdu7eWL1+ujh076sKFC1fdt3bt2nr55Zf1yy+/KDk5WaNGjVJmZqaefvrpAs+Fm0MxBQAAAAqR4yrjFX7/+CPrGo9xNqdPn5YkVa5cOde2PXv2aMOGDQX+nN7e3vrmm2/Uq1cvLV26VJ06dVJqauqfPi4gIEAvvviiKlSooBMnTuj48eMFng03jmIKAAAAFCIvSZskPav/vSdpa0nxv3+0vmK/Z3/f11V+SL98o6Lp06fnWGN65swZPfbYY9k3QSpo3t7e+vbbb9WzZ0/FxcWpc+fOunjxYvb2mTNnavXq1bket379eh07dkzBwcEqWbJkoWTDjeHmRwAAAEAhKy7pA0l9JK2Q9Hf9r3zGSfpI0u2SIg1kuxnNmzdXhw4dNH/+fNWqVUsxMTGSpLi4OJUpU0Zdu3bVrFmzCuW5vb29NWnSJNntdk2bNk1dunTRnDlzFBAQoLi4OH344YeqVKmSmjRpopCQEB05ckTLli2Tw+HQkCFD5OfnVyi5cGNc5ZcxAAAAgMuLlPSccv4Q7vX7mKuV0stmzZqlN954Q2XLltW8efO0fv169erVS6tXry70WUkfHx9NmTJF999/vxYsWKCuXbsqLS1NAwcO1AsvvKCKFStq7dq1mjZtmhITE3XfffdpwYIF+sc//lGouXD9bFZet8gCAMCgJ/69ROOebmM6BgAPkpGRob179yoiIoKZNLglZ/8eZ8YUAAAAAGAUxRQAAAAAYBTFFAAAAABgFMUUAAAAAGAUxRQAAAAAYBTFFAAAAABgFMUUAAAAAGAUxRQAAAAAYBTFFAAAAABgFMUUAAAAAGAUxRQAAAAAYBTFFAAAAABgFMUUAAAAAGAUxRQAAABAnmw2W44PLy8vlShRQlFRUfrggw+UmZlpOqLLSEpKks1mU0xMjOkoTsnHdAAAAAAAzm3AgAGSJLvdrqSkJK1cuVJr1qzRDz/8oJ9++kk+PtQK3By+gwAAAIBC5pBDyUrO176hCpWXk13YOGHChByfr1mzRjExMVq4cKGmTJmivn37mgnmQipVqqTt27crMDDQdBSn5Fzf8QAAAIAbSlayyuXzn/wWWJNatmypgQMHSpJ+/vlns2FchK+vr+rUqaOqVauajuKUKKYAAAAArlv9+vUlScePH8+1zbIsTZ48We3atVOpUqUUEBCgunXravDgwUpNTc21f0pKioYPH65GjRqpRIkSCg4OVkREhB588ME8i29qaqqGDx+uJk2aKDg4WMHBwYqKitLXX3+dZ1abzabw8HBlZGTo7bffVp06deTv769u3brpvffek81m0yuvvHLVc+3Ro4dsNptmz56dY3zbtm3q06ePKlSoID8/P1WqVEn9+/fXzp07cx3jamtMJ0yYIJvNpsGDB2vXrl3q1auXypcvLy8vL82cOfOGvj6uiEt5AQAAAFy38+fPS5LKlSuXY9zhcKhv376aPHmygoOD1bx5c5UqVUq//vqrhgwZonnz5ikuLk7FihWTdGndavv27bVmzRqVKVNGMTExCggI0KFDhzR37lwFBQXp7rvvzj7+8ePH1aFDB23atElhYWFq06aNLMvSypUrNXDgQP3666/6+OOPc+V1OBzq1q2bli5dqjZt2qhhw4YKDQ1Vr1699NJLL2nKlCkaMWKEbDZbjsedPXtWP/74o0JDQ3Xvvfdmjy9cuFCdO3fWxYsX1aRJE8XExGjHjh2aOHGiZsyYoblz56p169b5/nru3LlTkZGRCg0NVdu2bXX69Gn5+vpe99fHZVkAADiZxz+NMx0BgIdJT0+3tm3bZqWnpxfK8Y9bxy3l85/j1vFCyXAjJFlXqwx33HGHJcn69ttvc4zHxsZakqyYmBjr6NGj2ePp6enWY489ZkmyXnnllezxRYsWWZKsyMhI6+LFizmOdfbsWevXX3/NMXbfffdZkqxnn33WSktLyx7/7bffrObNm1uSrHnz5uV5HjVr1rQOHTqU61zuvPNOS5K1dOnSXNvGjx9vSbL+8pe/ZI+lpKRY5cuXtyRZn3zySY7933vvPUuSVbly5Rznk5iYaEmy2rRpk2P/r776Kjvf3/72NysrKyvH9uv9+lxNYX+P3ywu5QUAAACQLw6HQ3v37tXTTz+tpUuXqmvXrnrooYeyt2dlZSk2NlZBQUGaMmWKwsLCsrf5+fnp448/VlhYmMaOHSuHwyFJOnHihCTp9ttvV0BAQI7nCwkJUbNmzbI/j4+P19y5cxUZGan33ntP/v7+2dvKly+vsWPHSpL+/e9/55l/+PDhqlSpUq7xyzdvmjRpUq5tl8f69OmTPTZ16lQdO3ZM0dHRGjRoUI79n3/+eTVr1kyHDh3StGnT8syRl7Jly2rkyJHy9vbOMX49Xx9XRjEFAAAAcE2X38fU29tbNWvW1GeffaYnnnhCM2bMyPFWMRs2bNDJkyd12223qXz58rmOU6xYMTVr1kynT5/W7t27JUmNGzeWl5eXvvrqK40bN07JyVe/+dMvv/wiSerWrZu8vHJXmctrTteuXZvnOXTu3DnP43bv3l0BAQH673//m+O9WQ8fPqwlS5YoPDxct99+e/b4smXLJOUsq1e6XHQv75cf7du3z/OOvdfz9XFlFFMAAAAA1zRgwAANGDBADz30kOrUqSNJGjduXK6bDSUlJUmS5s+fn11m//jx448/SpJOnjwpSapVq5ZiY2OVmpqqJ598UuXKlVOjRo30j3/8Q5s2bcrz+G+88cZVj5+SkpJ97CuVK1cuxwzrlUJCQtS5c2clJyfrp59+yh6fPHmyHA6HevfunWPt6ZEjRyRJ4eHheR7v8vjhw4fz3J6Xq92t93q+Pq6Mmx8BAAAAuKY/vo/pqFGj9PLLL2vQoEFq27atqlWrJknZl+fWrFkzxwxjXkJDQ7P/+4UXXlDPnj01c+ZMzZ8/X8uWLdP777+vDz74QO+//76effbZHMdv1aqVIiIirusc/ngZ7B/17dtX33//vb777rvsmdW8LuPNjz/eQOlm8+X36+PKKKYAAAAArstLL72kBQsW6JdfftGQIUP05ZdfSpIqV64sSapTp06uMvtnqlSpomeeeUbPPPOMsrKyNGXKFD3yyCN6+eWX1b9/f5UqVSr7+N26ddMLL7xQoOd07733qnTp0po9e7ZSUlJ04MABxcfHq0mTJqpXr16OfStWrChJ2r9/f57Hujyzm9d61huVn6+PK+NSXgAAAADXbcSIEZKkiRMnZhe0yMhIlShRQkuWLNGpU6du+Ng+Pj7q27evIiMjlZGRkb0etUOHDpKkGTNm3GT63Hx9ffXggw8qNTVVM2fOvOZs6eW3gZk8eXKex/r2229z7FfQrvb1cWUUUwAAAKCQhSpUx/P5T6hC//yATqBJkybq1q1b9p14Jcnf318vv/yyzp8/r+7du2vfvn25Hnf48GFNnDgx+/PFixdrwYIF2ZfpXpaYmKjt27fLZrNlz5S2bNlSHTp00IoVKzRo0CCdO3cu1/ETEhJyrBO9HlfenXfy5Mny8vLSww8/nGu/nj17qnz58lq+fHn2nYAv++ijj/Trr7+qUqVK6tGjxw3luNL1fH1cGZfyAgAAAIXMS14qq7KmYxS4wYMHa9asWfryyy/15ptvKiwsTK+++qp27NihiRMnqm7dumrSpImqV6+ujIwM7dy5U9u2bVPDhg3Vr18/SZeK5PPPP6+yZcuqWbNmCg0N1YkTJ7RkyRKlp6frmWeeyb50Vro0G3nPPffo008/1XfffafGjRurYsWKOnv2rDZt2qSDBw/q2Wef1T333HPd53P77berWrVq2cX2zjvvzPHclwUFBWnSpEnq3LmznnrqKY0dO1a1atXSjh07tHHjRgUHB2vy5Ml/uq41P6736+OqKKYAAAAAbkijRo10//33a/r06XrvvfcUGxsrLy8vffPNN3rggQc0duxYrVu3Ths2bFCpUqVUpUoVvfTSSzne+7RTp05KTk7W4sWLlZCQoOTkZJUtW1atWrXSX//6V91///05nrNcuXJauXKlxo0bpylTpmjjxo1auXKlypcvrxo1aujvf/+7evXqdUPnY7PZ1Lt3bw0fPlzStW96dOedd2rdunUaOnSoFi1apE2bNqlMmTLq27ev/vnPf6p27do3lOGPrvfr46pslmVZpkMAAHClJ/69ROOebmM6BgAPkpGRob179yoiIkJ+fn6m4wAFztm/x1ljCgAAAAAwimIKAAAAADCKYgoAAAAAMIpiCgAAAAAwimIKAAAAADCKYgoAAAAAMIpiCgAAAAAwimIKAAAAADCKYgoAAAAAMIpiCgAAAAAwimIKAAAAADCKYgoAAAAAMIpiCgAAAAAwimIKAAAA4KpsNptsNpvpGDctKSlJNptNMTExpqMgDxRTAAAAAC5vwoQJstlsGjx4sOkouAE+pgMAAAAAQGGrVKmStm/frsDAQNNRkAeKKQAAAAC35+vrqzp16piOgavgUl4AAADAkMxM0wmuX1xcnGw2mwYOHJjn9oEDB8pmsykuLi7HuM1mU3h4uOx2u0aOHKlatWrJ399fVapU0SuvvKL09PQ8j3fhwgWNHDlSzZs3V0hIiIKCglSnTh0NGjRIu3btkiTFxMTokUcekSQNGTIke12szWbThAkTJP35GtOJEyeqVatWCgkJUWBgoBo2bKjhw4crLS3tmue4dOlStWvXTsWLF1dISIg6duyobdu25XqMZVmaNGmSWrVqpfLlyysgIEBVqlRR+/btNWbMmDwzeRJmTAEAAIAiNn68NHSolJQkhYdLb7whPf646VRFo3fv3po7d65iYmJUu3ZtLVu2TLGxsTp8+LC+/fbbHPsePXpUHTp00NatW1WqVCnFxMTI399f+/bt02effaZbbrlFtWrV0j333KOsrCytWLFCjRo1UuPGjbOPUbNmzT/N9NRTT2ns2LEKCAhQu3btFBgYqLi4OL3++uuaM2eOFixYkOclwHPmzNGHH36o5s2b67777lN8fLzmzp2rNWvWaMuWLQoLC8ve9+WXX9bo0aPl7++vO+64Q2XKlNFvv/2mTZs2ac+ePRo0aNCNf1HdAMUUAAAAKELjx0tPPPG/z5OS/ve5u5fT/fv3KzAwULt3784ubYmJiWratKkmTZqkIUOGKCIiInv/fv36aevWrerZs6e++OILBQcHZ29LSkrSuXPnJEmvvvqqwsLCtGLFCnXr1u26boA0bdo0jR07VhUrVlRcXJxuueUWSdLZs2fVqVMnLV++XG+99ZZGjx6d67EffPCBpk2bpm7dukmS7Ha7HnroIU2bNk2ffvqp3n77bUlSWlqaPv74YxUvXlwJCQmqXr169jGysrK0atWqfOd1V1zKCwAAABShoUPzHh82rGhzmPLRRx/lmEmsXr26+vbtK0latmxZ9vjatWu1cOFClStXTuPHj89RSiUpPDxcDRs2LJA8kvSvf/0ru5RKUokSJTRmzBjZbDZ9/vnneV7S+/DDD2eXUkny9vbWa6+9JklaunRp9vi5c+eUnp6uiIiIHKVUknx8fNS6deubPg9XRzEFAAAAikhm5qUZ0rwkJrrmmtPr4evrq7Zt2+Yar1WrlqRLl+5etmDBAkmXyl/x4sULJU9mZqZWr14tSerTp0+u7Q0bNlTDhg2VkpKi+Pj4XNvvuuuuXGN5nUu5cuVUuXJlxcfH69VXX9W+ffsK6AzcB8UUAAAAKCK+vpfWlOalevVL291ZWFiYvL29c41fLp5X3gDp4MGDkpTj0t6ClpycrIyMDJUpU0ZBQUF57hP++/+ww4cP59pWuXLlXGN5nYskff311ypbtqxGjhypiIgIhYeHa8CAAZo3b95NnoV7oJgCAAAAReiNN/Ief/31os1RWBwOx1W3eXm5Xv2w2WxX3XY959OuXTvt2bNHkyZNUr9+/eRwOPTNN9/ovvvu0wMPPFAQUV2a631nAAAAAC7s8celceMuzZBKl/49bpzr3PjIz89PkpSSkpLn9ssznTerSpUqkqS9e/cWyPHyEhoaKj8/P508eVIXLlzIc5+k36+9rlSp0k0/X0hIiHr37q1vvvlGBw4c0KpVq1S5cmVNmzZNc+fOvenjuzKKKQAAAFDEHn9c2rdPysi49G9XKaWSVKFCBUnKfg/RK506dUobNmwokOdp3769JGny5MlXLcFXulyYs7Ky8v0cvr6+ioqKkiRNmTIl1/YtW7YoISFBwcHBOd6CpqBERUWpX79+2c/lySimAAAAgCGuuKa0evXqqlq1qjZv3qxZs2Zlj1+4cEFPPvlk9lu43KwWLVqobdu2On78uJ588slcM5pJSUnavHlz9ucVK1aUJO3cufO6nueZZ56RJA0ePDjHTYnOnz+vv/3tb7IsS0899ZQCAgJu9FR04MABTZgwQampqTnG09LStHjxYkn/myH2VBRTAAAAANf0x3WW//rXvyRJPXr0ULt27dSlSxdFRERo06ZN6tq1a4E978SJE1W7dm1NnjxZVatWVdeuXdWzZ081a9ZMERERWrhwYfa+UVFRKleunP773/8qJiZGjz76qB5//HGtXLnyms/xwAMP6Mknn9ShQ4fUoEEDderUST179lRERISWLFmiqKio7PcjvVGnTp3SI488orJly6pNmzbq06ePunXrpqpVq2r16tVq3ry5unfvflPP4eoopgAAAADydPm9O/94x9pHH31UX331lerWrasVK1Zo7dq16ty5s1atWqWSJUsW2PNXqlRJ69at09tvv63KlStr/vz5mjdvnlJTU/XXv/5VnTp1yt43ICBAP/74ozp06KD4+HhNmDBBX3zxRZ6XHP/R559/rm+++UZNmjTRkiVLNGfOHJUrV05Dhw7VokWLFBgYeFPnERERoXfffVcxMTE6cOCApk+fruXLl6tatWp6//33tWTJEvn7+9/Uc7g6m2VZlukQAABc6Yl/L9G4p9uYjgHAg2RkZGjv3r2KiIjIXqsIadu2bapfv77q1aunrVu3mo6Dm+Ds3+PMmAIAAADIxbIsffLJJ5KkmJgYs2Hg9nxMBwAAAADgPE6ePKlnn31Wmzdv1ubNm1W8eHG98MILpmPBzTFjCgAAACBbSkqKJk+erEOHDqlLly5atmyZatSoYToW3BwzpgAAAACyhYeHy+FwmI4BD8OMKQAAAADAKIopAAAAAMAoiikAAAAAwCiKKQAAADyezWYzHQEoEs76vU4xBQAAgMfz9vaWJGVmZhpOAhSO9PR0Sf/7Xnc2FFMAAAB4PC8vLwUGBurs2bOyLMt0HKBAORwOnTp1SiEhIfLycs4KyNvFAAAAAJLKlCmjgwcPSpJKlCghX19fw4mAm2O323Xx4kWdOXNGdrtdYWFhpiNdFcUUAAAAkBQUFKQqVaro5MmTOnDggOk4QIHw9fVVUFCQypYtKx8f561/zpsMAAAAKGJBQUEKCgqSw+GQ3W7nsl64LJvNJi8vL6ddU/pHFFMAAADgD7y8vJx2LR7gjvjTBgAAAAAwimIKAAAAADCKYgoAAAAAMIpiCgAAAAAwimIKAAAAADCKYgoAAAAAMIpiCgAAAAAwimIKAAAAADCKYgoAAAAAMIpiCgAAAAAwimIKAAAAADCKYgoAAAAAMIpiCgAAAAAwimIKAAAAADCKYgoAAAAAMIpiCgAAAAAwimIKAAAAADCKYgoAAAAAMIpiCgAAAAAwimIKAAAAADCKYgoAAAAAMIpiCgAAAAAwysd0ANMccihZyfnaN1Sh8qLLAwAAAECB8vhimqxklVO5fO17XMdVVmULOREAAAAAeBaPL6aAW9gvKTEf+1WXVK2QswAFwGG3mY4AAEChycyUfH1Np3AuXJcKuIPzktr+yUe73/cDnNj48VL16tKXz9yh6tUvfQ4AgLu4/Drn5yde5/6AGVPAHTSQ9KCk76+xz4O/7wc4qfHjpSee+N/nSUn/+/zxx41EAgCgwPA6d202y7Is0yFMOqETrDGFe9gi6darbLNJ2iSKKZxa9eqXXqTzGt+3r8jjAABQoHiduzZmTK/D81+tVLG0kqZjAFf1VNO6ar4h9y9a1jU5rrHLtkvLDIQC8sFhtykp6Y48tyUmSo99slRe3h79e1QAgAv7s9c51pwyY8qMKdzL1WZNN4vZUjg9fpMMAHBn1ao5dOBA7lv88Dp3CTc/AtzJ5bWmV+opSilcwhtv5D3++utFmwMAgIK2eX+yqrbenec2XucuoZgC7uatK/7bJulNU0GA6/P449K4cZd+cyxd+ve4cdwQAgDguizL0sy1iRq7YLu+/7gKr3PXwKW8XMoLd9RTl+7Q21PSfwxnAW7AY58s1Rd/y3stDgAAriAt064PftgkL5tNf+94qwJ8vbO3saY0N4+/+VGoQnVcx/O9L+AS3pI0TcyWwmVxoyMAgCs7cuqChk3fqA6NKqtL82qy2Ww5tlNKc/P4YuolL2ZB4X4aSPpOrC0FAAAoYuv2HNfY+dv1bMdb1aBqadNxXIbHF1PAbT1kOgAAAIDncFiWJi/bow2JJzWib0uFFg8wHcmlUEwBAAAA4CZcSMtU7Mx4lStZTCP6tpSvN/eYvV4UUwAAAAC4QUnHz2vEjI3qEVVDHRpVNh3HZVFMAQAAAOAGLNl6RN8t26OXujZSzQolTMdxaRRTAAAAALgOdodDXyzcoaTj5zWqf5RCAv1MR3J5XPwMAAAAAPl05kK6Xp+0Vr7eXnrn4RaU0gLCjCkAAAAA5MOOw2f03pwEDYyprdvqhJmO41YopgAAAADwJ+ZtPKA56/brzQeaqUqZYNNx3A7FFAAAAACuIiPLrk9/2qrzFzM1ekC0Av2pUIWBryoAAAAA5OH42YsaNm2DbqsTpgeja8hms5mO5LYopgAAAADwB/FJJzVm3lY9fXd9Na1RxnQct0cxBQAAAIDfWZalaasTtWz7Uf3fw5EqXzLQdCSPQDEFAAAAAEkXM7L03pxNCvD11qj+UfLz8TYdyWNQTAEAAAB4vMPJFzRs+gbd27SqOjatynrSIkYxBQAAAODRVu86pi8W7tA/OjdU3cqlTMfxSBRTAAAAAB7JYVn6dslubT6QrNh+USoV7G86kseimAIAAADwOOcvZip25kZVCg3W8D4t5ePtZTqSR6OYAgAAAPAoe387p1Gz4vXQ7RFq26CS6TgQxRQAAACAB1m0+bCmrtyrl7s1Vo3yIabj4HcUUwAAAABuL8vu0LgF23Xk1AWN6h+t4sV8TUfCFbiQGgAAAIBbO5WSptcmrVFwgK+G9IqklDohZkwBAAAAuK1th07r/Tmb9NiddRRVq7zpOLgKiikAAAAAt2NZln5Yf0A/bTygwT2bq1JokOlIuAaKKQAAAAC3kp5p18fztigj067RA6JVzI/a4+z4PwQAAADAbRw7k6qh0zaqTf0K6t6yumw2m+lIyAeKKQAAAAC3sH7fCX328zb97d4GahQeajoOrgPFFAAAAIBLsyxLU1fu06pdv2lYnxYqG1LMdCRcJ4opAAAAAJeVmp6ld2cnKCTQT7H9ouTn4206Em4AxRQAAACASzpwMkUjpm9U58hqurdJVdNxcBMopgAAAABczoodv2nC4p16sWsj1a5Y0nQc3CSKKQAAAACXYXdY+jpup3YePqNR/aNUMsjfdCQUAC/TAQAAAAAgP86lZujNyWtld1ga1qcFpdSNMGMKAAAAwOntPnpWo2clqHfrmmpTv6LpOChgFFMAAAAATm1+wiFNW71Pr3VvovByxU3HQSGgmAIAAABwSpl2hz7/ZZtOnEvTuwOiFRTgazoSCgnFFAAAAIDTST6fpmHTN6pZjTL66z315WWzmY6EQkQxBQAAAOBUNh84pY9+3KwnO9RVZM1ypuOgCFBMAQAAADgFy7I0e12SFmw6rLd7RapCqUDTkVBEKKYAAAAAjEvLtOujHzfLsiyNGhCtAF9v05FQhCimAAAAAIw6ejpVw6ZtUPuGldQlMlw21pN6HIopAAAAAGPW7TmusfO36+8db9WtVUubjgNDKKYAAAAAipzDsjRl+R79uveERvRtqdDiAaYjwSCKKQAAAIAidSEtU7GzElQ2JEAj+0XJ19vLdCQYRjEFAAAAUGSSjp/XiBkb1T2quu5qVMV0HDgJiikAAACAIrF021FNWrpbL3ZtpFsqlDAdB06EYgoAAACgUNkdDn21aKf2HTunUf2jFBLoZzoSnAwXcwMAAAAoNGcupOv179bKy8umdx5uQSlFnpgxBQAAAFAodh45o3dnJ6h/m1pqVbeC6ThwYhRTAAAAAAXup40HNGvdfv3zgWaqWibYdBw4OYopAAAAgAKTkWXXv3/eprMX0jV6QJSC/H1NR4ILYI0pAAAAgAJx4txFvTJxjcJKBurNB5tRSpFvzJgCAAAAuGkJScn6ZN4W/eXuempWo6zpOHAxFFMAAAAAN8yyLM1Yk6i4rUf1zsORCisZaDoSXBDFFAAAAMANScvI0ntzNsnPx1uj+kfJ39fbdCS4KIopAAAAgOt2+NQFDZu2Qfc0qapOzarKZrOZjgQXRjEFAAAAcF1W7zqmLxbu0HOdblX9KqVNx4EboJgCAAAAyBeHZWnS0t1KSErWyH4tVTo4wHQkuAmKKQAAAIA/df5ipmJnxatiqUCN6NtSPt688yQKDsUUAAAAwDXtO3ZOsTPj1fO2CLW7tZLpOHBDFFMAAAAAV7V4y2FNWb5XL3drrIiwENNx4KYopgAAAAByybI79MXCHTqYnKJRA6IUUszPdCS4MS4MBwAAAJDD6ZR0vTZpjQL8vDXkoUhKKQodM6YAAAAAsm0/dFrvzdmkx+6so6ha5U3HgYegmAIAAACQZVmau+GA5m44oH/1bKbKocGmI8GDUEwBAAAAD5eRZdcn87boYoZdowdEq5gfNQFFi+84AAAAwIMdP3tRQ6dtUOu6FdQjqrpsNpvpSPBAFFMAAADAQ21MPKlPf9qqQffUV+PqZUzHgQejmAIAAAAexrIsfb9qn1bu+E1De7dQuRLFTEeCh6OYAgAAAB4kNT1L781JUFCAr2L7R8nPx9t0JIBiCgAAAHiKgydTNGLGRnVsVk33Na1qOg6QjWIKAAAAeICVO37TV4t36oUujVSnUknTcYAcKKYAAACAG7M7LE1cskvbDp3WqP5RKhnkbzoSkIuX6QAAAAAACse51Ay9OWWdMrLsGt6nBaUUTosZUwAAAMAN7Tl6VqNmJejh1jUVU7+i6TjANVFMAQAAADezYNMh/XfVPr3WvYnCyxU3HQf4UxRTAAAAwE1k2h0aO3+bjp25qNEDohUc4Gs6EpAvFFMAAADADSSfT9Ow6RvVpHoZPX13fXnZbKYjAflGMQUAAABc3NaDp/TBD5v1RPu6anFLOdNxgOtGMQUAAABclGVZmvPrfv2ScEhDHmquiqWDTEcCbgjFFAAAAHBB6Zl2fTR3s+wOS6P7RynAjx/t4br47gUAAABczG+nUzV0+ga1a1BJ3VqEy8Z6Urg4iikAAADgQn7de0Kf/7JNf7+vgW6tFmo6DlAgKKYAAACAC3BYlv6zYq/W7Tmu4X1aqkxIgOlIQIGhmAIAAABO7kJ6pkbPSlDpYH+N6NtSfj7epiMBBYpiCgAAADix/SfOa8SMeHVrEa67G1cxHQcoFBRTAAAAwEkt235UE5fs0ktdG+uWCiVMxwEKDcUUAAAAcDJ2h0NfLdqpPb+d06j+0SoR6Gc6ElCovEwHAAAAAPA/Z1Mz9MZ362Sz2TS0dySlFB6BGVMAAADASew6ckajZyeoX5taal23guk4QJGhmAIAAABO4Of4g5q5Nkn/7NFUVcsWNx0HKFIUUwAAAMCgjCy7Pvtlm06npGv0gCgF+fuajgQUOYopAAAAYMjJc2kaNn2DWtQsp7/d20BeNpvpSIARFFMAAADAgE37k/Xx3C36y1311CyirOk4gFEUUwAAAKAIWZalGWuTtHjLYb3TK1JhpQJNRwKMo5gCAAAARSQtI0vv/7BZPt42je4fLX9fb9ORAKdAMQUAAACKwJFTFzRs+kbd3biyOjWrJhvrSYFsFFMAAACgkK3dfVzjFmzXc51uVf0qpU3HAZwOxRQAAAAoJA7L0ndLd2tjUrJG9G2p0OIBpiMBToliCgAAABSClLRMxc6MV1jJQI3o21K+3l6mIwFOi2IKAAAAFLDEY+c0cma8HoyuoTsbVjYdB3B6FFMAAACgAMVtOaLJy/fo5W6NFBFWwnQcwCVQTAEAAIACYHc4NH7hDu0/kaJRA6IUUszPdCTAZXChOwAAAHCTzlxI12uT1irAx1vv9IqklALXiRlTAAAA4CbsOHxa787epEfa1dZttcNMxwFcEsUUAAAAuEFzNxzQj+v3660Hm6lKmWDTcQCXRTEFAAAArlNGll1j5m3VhfRMjeofrUB/fqwGbgZ/ggAAAIDrcPzsRQ2btkG31wnTA9E1ZLPZTEcCXB7FFAAAAMin+MSTGvPTVv31nvpqUr2M6TiA26CYAgAAAH/Csiz9d/U+Ld/+m4b2bqFyJYqZjgS4FYopAAAAcA0XM7L07uxNCvT31qj+UfLz8TYdCXA7FFMAAADgKg4lp2j49I3q2Kya7m1ShfWkQCGhmAIAAAB5WLXzmL5ctEP/6NxQdSuXMh0HcGsUUwAAAOAKdoelb5fs0paDpxTbL0qlgv1NRwLcHsUUAAAA+N25ixmKnRmvKmWCNbxPS/l4e5mOBHgEiikAAAAgae9v5xQ7M14Pt6qpmAYVTccBPArFFAAAAB5v4aZD+n7VPr16f2NVLx9iOg7gcSimAAAA8FhZdofGzt+uo2dSNXpAtIIDfE1HAjwSxRQAAAAe6VRKmoZN26jG4aH6y93N5cVbwQDGUEwBAADgcbYePKUPftisx+6so6ha5U3HATwexRQAAAAew7Is/bB+v37aeFCDH2quSqWDTEcCIIopAAAAPER6pl0fz92iTLtD7w6IVoAfPwoDzoI/jQAAAHB7v51J1bBpGxXToKLubxEuG+tJAadCMQUAAIBbW7/vhD77eZueua+BGlYLNR0HQB4opgAAAHBLlmVp6sq9Wr3ruIb1aaGyIcVMRwJwFRRTAAAAuJ0L6Zl6d1aCSgT5a2S/lvLz8TYdCcA1UEwBAADgVg6cOK/hM+LVrUW47m5cxXQcAPlAMQUAAIDbWL79qL5ZsksvdmmkWhVLmo4DIJ8opgAAAHB5doelrxfv1K6jZxXbL0olg/xNRwJwHbxMBwAAAABuxtnUDP1z8lo5LEtDe0dSSgEXxIwpAAAAXNbuo2c1elaC+txxi+6oV8F0HAA3iGIKAAAAlzQ/4ZCmr0nU6z2aqFrZ4qbjALgJFFMAAAC4lEy7Q5/9vFXJ59M1un+UggJ8TUcCcJMopgAAAHAZJ8+ladj0DWoeUVaD7m0gL5vNdCQABYBiCgAAAJew+cApffTjZj11Vz01jyhrOg6AAkQxBQAAgFOzLEuz1iVp4ebDertXpCqUCjQdCUABo5gCAADAaaVl2vXBD5vkZbNpVP9oBfh6m44EoBBQTAEAAOCUjp5O1bBpG9S+UWV1aV5NNtaTAm6LYgoAAACns27PcY2dv13PdrxVDaqWNh0HQCGjmAIAAMBpOCxLk5ft0YbEkxrRt6VCiweYjgSgCFBMAQAA4BQupGUqdma8ypUsphF9W8rX28t0JABFhGIKAAAA45KOn9eIGRvVI6qGOjSqbDoOgCJGMQUAAIBRS7Ye0XfL9uilro1Us0IJ03EAGEAxBQAAgBF2h0NfLtqpxOPnNap/lEIC/UxHAmAIF+4DAACgyJ25kK7XJ62Vj5dN7/SKpJQCHo4ZUwAAABSpHYfP6N3ZCRrYtrZurxNmOg4AJ0AxBQAAQJGZt/GA5qzbrzcfbKaqZYJNxwHgJCimAAAAKHQZWXZ9+tNWnb+YqdEDohXoz4+hAP6HvxEAAABQqI6fvahh0zfottphejC6hmw2m+lIAJwMxRQAAACFJj7ppMbM26qn766vpjXKmI4DwElRTAEAAFDgLMvStNWJWrb9qP7v4UiVLxloOhIAJ0YxBQAAQIG6mJGl9+ZsUoCvt0b1j5Kfj7fpSACcHMUUAAAABeZw8gUNm75B9zatqo5Nq7KeFEC+UEwBAABQIFbvOqYvFu7QPzo3VN3KpUzHAeBCKKYAAAC4KQ7L0rdLdmvzgWSN7NdSpYMDTEcC4GIopgAAALhh5y9mKnbmRlUKDdbwPi3l4+1lOhIAF0QxBQAAwA3Zd+ycYmfGq+dtEWp3ayXTcQC4MIopAAAArtuizYc1deVevdytsWqUDzEdB4CLo5gCAAAg37LsDo1bsF1HTl3QqP7RKl7M13QkAG6ARQAAAADIl1MpaXpt0hoFB/hqSK9ISimAAsOMKQAAAP7UtkOn9f6cTXrszjqKqlXedBwAboZiCgAAgKuyLEs/rD+gnzYe0OCezVUpNMh0JABuiGIKAACAPKVn2vXxvC3KyLRr9IBoFfPjR0cAhYO/XQAAAJDLsTOpGjpto9rUr6DuLavLZrOZjgTAjVFMAQAAkMOGfSf175+3atC99dU4vIzpOAA8AMUUAAAAki6tJ526cp9W7fpNQ3u3ULkSxUxHAuAhKKYAAABQanqW3p2doJBAP8X2i5Kfj7fpSAA8CMUUAADAwx04maIR0zeqc2Q13dukquk4ADwQxRQAAMCDrdjxm76O26l/dG6kOpVKmo4DwENRTAEAADyQ3WHp67id2nn4jGL7RalkkL/pSAA8mJfpAAAAACha51Iz9ObktbI7LA3r04JSCsA4ZkwBAAA8yO6jZzV6VoJ6t66pNvUrmo4DAJIopgAAAB5jfsIhTVu9T691b6LwcsVNxwGAbBRTAAAAN5dpd+jzX7bpxLk0vTsgWkEBvqYjAUAOFFMAAAA3lnw+TcOmb1SzGmX013vqy8tmMx0JAHKhmAIAALipLQdO6cMfN+vJDnUVWbOc6TgAcFUUUwAAADdjWZZmr0vSgk2HNeSh5qpYOsh0JAC4JoopAACAG0nLtOujHzfLsiyNGhCtAF9v05EA4E9RTAEAANzE0dOpGjZtg9o3rKQukeGysZ4UgIugmAIAALiBdXuOa+z87fp7x1t1a9XSpuMAwHWhmAIAALgwh2VpyvI9+nXvCY3o21KhxQNMRwKA60YxBQAAcFEX0jI1alaCyoQEaGS/KPl6e5mOBAA3hGIKAADggvafOK8RM+J1f8tw3dWoiuk4AHBTKKYAAAAuZum2o5q0dLde7NpIt1QoYToOANw0iikAAICLsDsc+mrRTu07dk6j+kcpJNDPdCQAKBAsRAAAAHABZy6k6/Xv1srLy6Z3Hm5BKQXgVpgxBQAAcHK7jpzR6NkJ6t+mllrVrWA6DgAUOIopAACAE/s5/qBmrU3SP3s0VdWyxU3HAYBCQTEFAABwQhlZdv375206eyFdowZEKcjf13QkACg0rDEFAABwMifOXdTLE1crrGQxvflgM0opALfHjCkAAIATSUhK1ifztugvd9dTsxplTccBgCJBMQUAAHAClmVpxppExW09qncejlRYyUDTkQCgyFBMAQAADEvLyNL7P2yWr7eXRvWPkr+vt+lIAFCkKKYAAAAGHT51QcOnb9TdjauoU7OqstlspiMBQJGjmAIAABiyetcxfbFwh57rdKvqVyltOg4AGEMxBQAAKGIOy9KkpbuVkJSskf1aqnRwgOlIAGAUxRQAAKAInb+YqdhZ8apYKlAj+raUjzfv3gcAFFMAAIAiknjsnEbOjNeD0TV0Z8PKpuMAgNOgmAIAABSBxVsO6z8r9uqlro0VERZiOg4AOBWKKQAAQCHKsjv0xcIdOpicotj+UQop5mc6EgA4HRY1AAAAFJLTKel6bdIaBfh5a8hDkZRSALgKZkwBAAAKwfZDp/XenE16tF0dRdcubzoOADg1iikAAEABsixLczcc0NwNB/Svns1UOTTYdCQAcHoUUwAAgAKSkWXXJ/O26GKGXaMHRKuYHz9qAUB+8LclAABAATh+9qKGTtug1nUrqEdUddlsNtORAMBlUEwBAABu0sbEk/r0p60adE99Na5exnQcAHA5FFMAAIAbZFmWvl+1Tyt3/KahvVuoXIlipiMBgEuimAIAANyA1PQsvTcnQUEBvortHyU/H2/TkQDAZVFMAQAArtPBkykaPn2jOjWvpvuaVjUdBwBcHsUUAADgOqzc8Zu+WrxTL3RpqDqVSpmOAwBugWIKAACQD3aHpYlLdmnbodMa1T9KJYP8TUcCALfhZToAAACAszt3MUNvTVmnjCy7hvdpQSkFgALGjCkAAMA17P3trGJnJujh1jUVU7+i6TgA4JYopgAAAFexYNMh/XfVPr3WvYnCyxU3HQcA3BbFFAAA4A8y7Q6Nnb9Nx85c1OgB0QoO8DUdCQDcGsUUAADgCsnn0zRs+kY1qV5GT99dX142m+lIAOD2KKYAAAC/23rwlD74YbOeaF9XLW4pZzoOAHgMiikAAPB4lmVpzq/79UvCIQ15qLkqlg4yHQkAPArFFAAAeLT0TLs+mrtZdoel0f2jFODHj0cAUNT4mxcAAHis306nauj0DWrXoJK6tQiXjfWkAGAExRQAAHik9XtP6LNftumZ+xqoYbVQ03EAwKNRTAEAgEdxWJb+s2Kv1u05ruF9WqpMSIDpSADg8SimAADAY1xIz9ToWQkqFeyvEX1bys/H23QkAIAopgAAwEPsP3FeI2bEq1uLcN3duIrpOACAK1BMAQCA21u2/agmLtmll7o21i0VSpiOAwD4A4opAABwW3aHQ18t2qk9v53TqP7RKhHoZzoSACAPXqYDAAAAFIazqRl647t1stlsGto7klIKAE6MGVMAAOB2dh05o9GzE9SvTS21rlvBdBwAwJ+gmAIAALfyc/xBzVybpH/2aKqqZYubjgMAyAeKKQAAcAsZWXZ99ss2nU5J1+gBUQry9zUdCQCQTxRTAADg8k6eS9Ow6RvUomY5/e3eBvKy2UxHAgBcB4opAABwaZv3J+ujuVv01F311DyirOk4AIAbQDEFAAAuybIszVibpMVbDuudXpEKKxVoOhIA4AZRTAEAgMtJy8jSBz9ulpfNptH9o+Xv6206EgDgJlBMAQCASzly6oKGTd+ouxpVVufm1WRjPSkAuDyKKQAAcBlrdx/XuAXb9VynW1W/SmnTcQAABYRiCgAAnJ7DsvTdsj3amHhSI/q2VGjxANORAAAFiGIKAACcWkpapmJnxiusZKBG9G0pX28v05EAAAWMYgoAAJxW4rFzGjkzXg9G19CdDSubjgMAKCQUUwAA4JTithzR5OV79HK3RooIK2E6DgCgEFFMAQCAU7E7HBq/cIf2n0jRqAFRCinmZzoSAKCQsUgDAAA4jTMX0vXapLXy9/HWO70iKaUA4CGYMQUAAE5hx+HTem/OJg1sW1u31Q4zHQcAUIQopgAAwLi5Gw7ox/X79eYDzVSlTLDpOACAIkYxBQAAxmRk2TXmp626kJapUf2jFejPjyYA4In42x8AABhx/OxFDZu2QbfXCdMD0TVks9lMRwIAGEIxBQAARS4+8aTG/LRVf72nvppUL2M6DgDAMIopAAAoMpZl6b+r92n59t80tHcLlStRzHQkAIAToJgCAIAicTEjS+/O3qRAf2+N6h8lPx9v05EAAE6CYgoAAArdoeQUDZ++UR2bVdO9TaqwnhQAkAPFFAAAFKpVO4/py0U79I/ODVW3cinTcQAATohiCgAACoXdYenbJbu05eApxfaLUqlgf9ORAABOimIKAAAK3LmLGYqdGa8qocEa3qelfLy9TEcCADgxiikAAChQe387p9iZ8erVKkJtG1QyHQcA4AIopgAAoMAs3HRI36/ap1fvb6zq5UNMxwEAuAiKKQAAuGlZdofGLdiuI6dTNXpAtIIDfE1HAgC4EBZ8AACAm3IqJU2vfrtGxQN8NeSh5pRSAMB1Y8YUAADcsK0HT+mDHzbrsTvrKKpWedNxAAAuimIKAACum2VZ+mH9fv208aAGP9RclUoHmY4EAHBhFFMAAHBd0jPt+njuFmXaHXp3QLQC/PhxAgBwc3glAQAA+fbbmVQNm7ZRMQ0q6v4W4bLZbKYjAQDcAMUUAADky/p9J/TZz9v0zH0N1LBaqOk4AAA3QjEFAADXZFmWpq7cq9W7jmtYnxYqG1LMdCQAgJuhmAIAgKu6kJ6pd2clqESQv0b2ayk/H2/TkQAAbohiCgAA8nTgZIpGTN+oLpHVdE+TqqbjAADcGMUUAADksnz7UX2zZJde7NJItSqWNB0HAODmKKYAACCb3WHp68U7tfPoGcX2i1LJIH/TkQAAHsDLdAAAAOAczqZm6J+T18phWRrWuwWlFABQZJgxBQAA2n30rEbPSlCfO27RHfUqmI4DAPAwFFMAADzc/IRDmr4mUa/3aKJqZYubjgMA8EAUUwAAPFSm3aHPft6q5PPpGt0/SkEBvqYjAQA8FMUUAAAPdPJcmoZN36DmEWU16N4G8rLZTEcCAHgwiikAAB5m84FT+ujHzXrqrnpqHlHWdBwAACimAAB4CsuyNGtdkhZuPqy3e0WqQqlA05EAAJBEMQUAwCOkZdr14Q+bZLPZNKp/tAJ8vU1HAgAgG8UUAAA3d/R0qoZN26D2jSqrS/NqsrGeFADgZCimAAC4sXV7jmvs/O16tuOtalC1tOk4AADkiWIKAIAbcliWJi/bo/X7TmhE35YKLR5gOhIAAFdFMQUAwM1cSMtU7KwElQ0J0Mh+UfL19jIdCQCAa6KYAgDgRpKOn9eIGRvVI6qGOjSqbDoOAAD5QjEFAMBNLNl6RN8t26OXujZSzQolTMcBACDfKKYAALg4u8OhLxftVOLx8xrVP0ohgX6mIwEAcF1YdAIAgAs7cyFdr09aKx8vm97pFUkpBQC4JGZMAQBwUTsOn9G7sxM0sG1t3V4nzHQcAABuGMUUAAAXNG/jAc1Zt19vPthMVcsEm44DAMBNoZgCAOBCMrLs+vSnrTp/MVOjB0Qr0J+XcgCA6+PVDAAAF3H87EUNm75B0bXC9GzHGrLZbKYjAQBQICimAAC4gPikkxozb6uevru+mtYoYzoOAAAFimIKAIATsyxL09ckasnWo/q/hyNVvmSg6UgAABQ4iikAAE7qYkaW3p+zSX6+3hrVP0r+vt6mIwEAUCgopgAAOKHDyRc0bPoG3du0qjo2rcp6UgCAW6OYAgDgZFbvOqYvFu7QPzo3VN3KpUzHAQCg0FFMAQBwEg7L0rdLdmvzgWSN7NdSpYMDTEcCAKBIUEwBAHAC5y9mKnbmRlUKDdbwPi3l4+1lOhIAAEWGYgoAgGH7jp1T7Mx49bwtQu1urWQ6DgAARY5iCgCAQYs2H9bUlXv1crfGqlE+xHQcAACMoJgCAGBAlt2hcQu268ipCxrVP1rFi/majgQAgDEsYAEAoIidSknTa5PWKMjfV0N6RVJKAQAejxlTAACK0LZDp/X+nE167M46iqpV3nQcAACcAsUUAIAiYFmWftxwQPM2HNDgns1VKTTIdCQAAJwGxRQAgEKWnmnXJ/O2KD3TrtEDolXMj5dfAACuxCsjAACF6NiZVA2dtlFt6ldQ95bVZbPZTEcCAMDpUEwBACgkG/ad1L9/3qpB99ZX4/AypuMAAOC0KKYAABQwy7I0deU+rdr1m4b2bqFyJYqZjgQAgFOjmAIAUIBS07P07uwEFS/mq9h+UfLz8TYdCQAAp0cxBQCggBw4maIR0zeqc2Q13dukquk4AAC4DIopAAAFYMWO3/R13E79o3Mj1alU0nQcAABcCsUUAICbYHdY+iZup3YcPqPYflEqGeRvOhIAAC7Hy3QAAABc1bnUDL05ZZ2yHJaG9WlBKQUA4AYxYwoAwA3YffSsRs9KUO/WNdWmfkXTcQAAcGkUUwAArtP8hEOatnqfXuveROHlipuOAwCAy6OYAgCQT5l2hz7/ZZtOnEvTuwOiFRTgazoSAABugWIKAEA+JJ9P07DpG9WsRhn99Z768rLZTEcCAMBtUEwBAPgTWw6c0oc/btaTHeoqsmY503EAAHA7FFMAAK7CsizNXpekBZsOa8hDzVWxdJDpSAAAuCWKKQAAeUjLtOujHzfLYVkaNSBaAb7epiMBAOC2KKYAAPzB0dOpGjZtg+5sWEldI8NlYz0pAACFimIKAMAV1u05rrHzt+vvHW/VrVVLm44DAIBHoJgCACDJYVmasnyPft17QiP6tlRo8QDTkQAA8BgUUwCAx7uQlqlRsxJUJiRAI/tFydfby3QkAAA8CsUUAODR9p84rxEz4nV/y3Dd1aiK6TgAAHgkiikAwGMt3XZU3y7dpZe6NtYtFUqYjgMAgMeimAIAPI7d4dBXi3Zq77FzGtU/WiUC/UxHAgDAo7GIBgDgUc5cSNfr362Vl5dN//dwC0opAABOgBlTAIDH2HXkjEbPTlD/NrXUqm4F03EAAMDvKKYAAI/wc/xBzVqbpH/2aKqqZYubjgMAAK5AMQUAuLWMLLv+/fM2nb2QrlEDohTk72s6EgAA+APWmAIA3NaJcxf18sTVCitZTG8+2IxSCgCAk2LGFADglhKSkvXJvC36y9311KxGWdNxAADANVBMAQBuxbIszViTqLitR/XOw5EKKxloOhIAAPgTFFMAgNtIy8jS+z9slq+3l0b1j5K/r7fpSAAAIB8opgAAt3D41AUNn75Rdzeuok7Nqspms5mOBAAA8oliCgBweWt2H9P4BTv0XKdbVb9KadNxAADAdaKYAgBclsOy9N3S3YpPStbIfi1VOjjAdCQAAHADKKYAAJd0/mKmYmfFq2KpQI3o21I+3rwDGgAAropiCgBwOYnHzmnkzHg9GF1DdzasbDoOAAC4SRRTAIBLWbzlsP6zYq9e6tpYEWEhpuMAAIACQDEFALiELLtDXyzcoYPJKYrtH6WQYn6mIwEAgALCghwAgNM7nZKu1yatUYCft4Y8FEkpBQDAzTBjCgBwOg77/96DdPuh03pvziY92q6OomuXN5gKAAAUFptlWZbpEAAASNL48dLQoVJSkhQebqlz31OyV92m17o3UeXQYNPxAABAIaGYAgCcwvjx0hNP5B4f82+7/voX76IPBAAAigzFFADgFKpXvzRTmtf4vn1FHgcAABQhiikAwLjMTMnvGvczysiQfH2LLg8AACha3JUXAGCcr68UHp73turVKaUAALg7iikAwCm88Ube46+/XrQ5AABA0aOYAgCcwuOPS+PGXZohlS79e9y4S+MAAMC9scYUAOB0MjO5fBcAAE9CMQUAAAAAGMWlvAAAAAAAoyimAAAAAACjKKYAAAAAAKMopgAAAAAAoyimAAAAAACjKKYAAAAAAKMopgAAAAAAoyimAAAAAACjKKYAAAAAAKMopgAAAAAAoyimAAAAAACjKKYAAAAAAKMopgAAAAAAoyimAAAAAACjKKYAAAAAAKMopgAAAAAAoyimAAAAAACjKKYAAAAAAKMopgAAAAAAoyimAAAAAACjKKYAAAAAAKMopgAAAAAAoyimAAAAAACjKKYAAAAAAKMopgAAAAAAoyimAAAAAACjKKYAAAAAAKMopgAAAAAAoyimAAAAAACjKKYAAAAAAKMopgAAAAAAoyimAAAAAACjKKYAAAAAAKMopgAAAAAAoyimAAAAAACjKKYAAAAAAKMopgAAAAAAoyimAAAAAACjKKYAAAAAAKMopgAAAAAAoyimAAAAAACjKKYAAAAAAKMopgAAAAAAoyimAAAAAACjKKYAAAAAAKMopgAAAAAAoyimAAAAAACjKKYAAAAAAKMopgAAAAAAoyimAAAAAACj/h8TfJwOLTU/8QAAAABJRU5ErkJggg==" - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "# Initialize epanet flow units \n", - "d.initializeEPANET(d.ToolkitConstants.EN_GPM, d.ToolkitConstants.EN_HW)\n", - "\n", "# an elevation of 700 ft and a demand of 0\n", "index = d.addNodeJunction('J1')\n", "d.setNodeJunctionData(index, 700, 0, '')\n", - "d.setNodeCoordinates(index, [0, 0])\n", - "\n", + "d.setNodeCoordinates(index, [0, 0])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "610d601c", + "metadata": {}, + "outputs": [], + "source": [ "# Add the remaining two junctions with elevations of\n", "# 710 ft and demands of 250 and 500 gpm, respectively\n", "index = d.addNodeJunction('J2')\n", "d.setNodeJunctionData(index, 710, 250, '')\n", - "d.setNodeCoordinates(index, [0, -100])\n", - "\n", + "d.setNodeCoordinates(index, [0, -100])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0cc6b9fc", + "metadata": {}, + "outputs": [], + "source": [ "index = d.addNodeJunction('J3')\n", "d.setNodeJunctionData(index, 710, 500, '')\n", - "d.setNodeCoordinates(index, [100, 0])\n", - "\n", + "d.setNodeCoordinates(index, [100, 0])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f5dde695", + "metadata": {}, + "outputs": [], + "source": [ "# Add the reservoir at an elevation of 650 ft\n", "index = d.addNodeReservoir('R1')\n", "d.setNodeElevations(index, 650)\n", - "d.setNodeCoordinates(index, [-80, 0])\n", - "\n", + "d.setNodeCoordinates(index, [-80, 0])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "082bd366", + "metadata": {}, + "outputs": [], + "source": [ "# Add the tank node at elevation of 850 ft, initial water level\n", "# at 120 ft, minimum level at 100 ft, maximum level at 150 ft\n", "# and a diameter of 50.5 ft\n", - "index = d.addNodeTank('T1') #bug check\n", + "index = d.addNodeTank('T1') # bug check\n", "d.setNodeTankData(index, 850, 120, 100, 150, 50.5, 0, '')\n", - "d.setNodeCoordinates(index, [0, 50])\n", - "\n", + "d.setNodeCoordinates(index, [0, 50])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "635adb02", + "metadata": {}, + "outputs": [], + "source": [ "# Add the pipes to the project, setting their length, \n", "# diameter, and roughness values\n", "index = d.addLinkPipe('P1', 'J1', 'J2')\n", @@ -112,48 +129,55 @@ "index = d.addLinkPipe('P3', 'J1', 'J3')\n", "d.setLinkPipeData(index, 5280, 14, 100, 0)\n", "index = d.addLinkPipe('P4', 'J2', 'J3')\n", - "d.setLinkPipeData(index, 5280, 14, 100, 0)\n", - " \n", + "d.setLinkPipeData(index, 5280, 14, 100, 0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5b528185", + "metadata": {}, + "outputs": [], + "source": [ "# Add a pump to the project\n", - "index = d.addLinkPump('PUMP', 'R1', 'J1')\n", - " \n", + "index = d.addLinkPump('PUMP', 'R1', 'J1')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "61c1d41d", + "metadata": {}, + "outputs": [], + "source": [ "# Create a single point head curve (index = 1) and\n", "# assign it to the pump\n", "d.addCurve('C1')\n", "d.setCurveValue(1, 1, [1500, 250])\n", - "d.setLinkPumpHCurve(index, 1)\n", - " \n", + "d.setLinkPumpHCurve(index, 1)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "95e44a5f", + "metadata": {}, + "outputs": [], + "source": [ "# Save the project for future use\n", "d.saveInputFile(testinp)\n", - "d = epanet(testinp)\n", + "d = epanet(testinp, ph=True)\n", "d.plot()\n", - "\n", + "d.plot_show()\n", "d.deleteProject()" ] } ], "metadata": { - "kernelspec": { - "display_name": "Python 3.10.6 64-bit (windows store)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.6" - }, - "vscode": { - "interpreter": { - "hash": "0df096debc758afc4e07b4a6d7176310e13b87e5b446a84739768769d4d90649" - } + "jupytext": { + "cell_metadata_filter": "-all", + "main_language": "python", + "notebook_metadata_filter": "-all" } }, "nbformat": 4, diff --git a/examples/notebooks/Toolkit_api_EX1_using_EN_functions.ipynb b/examples/notebooks/Toolkit_api_EX1_using_EN_functions.ipynb index 0048b95..a8c00a5 100644 --- a/examples/notebooks/Toolkit_api_EX1_using_EN_functions.ipynb +++ b/examples/notebooks/Toolkit_api_EX1_using_EN_functions.ipynb @@ -1,62 +1,57 @@ { "cells": [ { - "cell_type": "markdown", - "id": "e3d0d971", + "cell_type": "code", + "execution_count": null, + "id": "65200b9a", "metadata": {}, + "outputs": [], "source": [ - "### Create a network with EN functions eliminitating the need to an EPANET formatted input file. \n", - "This creates the opportunity to use relational database files or GIS/CAD files. \n", - "\n", - "##### THE USER HAS TO ADD api to call THE EN FUNCTIONS e.g., d.api.ENaddnode\n" + "\"\"\" \n", + " Create a network with EN functions, eliminitating the need to an EPANET formatted input file\n", + " This creates the opportunity to use relational database files or GIS/CAD files.\n", + " THE USER HAS TO ADD api to call THE EN FUNCTIONS e.g., api.ENaddnode\n", + " \n", + "\"\"\"\n", + "from epyt import epanet" ] }, { "cell_type": "code", - "execution_count": 1, - "id": "8cef7c43", + "execution_count": null, + "id": "1bc3bc7b", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "EPANET version 20200 loaded (EPyT version 1.0.5).\n" - ] - } - ], + "outputs": [], "source": [ - "from epyt import epanet\n", - "\n", "# Initialize epanet without inputs\n", - "d = epanet()" + "# d = epanet(ph=True) or d = epanet()\n", + "d = epanet()\n", + "# d.InputFile = 'Example_1.inp' # CHECK if needed\n", + "# Use GPM for flow units and the Hazen-Williams formula for head loss\n", + "d.api.ENinit(d.ToolkitConstants.EN_GPM, d.ToolkitConstants.EN_HW)" ] }, { "cell_type": "code", - "execution_count": 2, - "id": "f5cccedf", + "execution_count": null, + "id": "3c35f8ad", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": "
    ", - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "# Use gpm for flow units and the Hazen-Williams formula for head loss\n", - "d.api.ENinit(d.ToolkitConstants.EN_GPM, d.ToolkitConstants.EN_HW)\n", - "\n", "# Add the first junction node to the project with an \n", "# elevation of 700 ft and a demand of 0\n", "index = d.api.ENaddnode('J1', d.ToolkitConstants.EN_JUNCTION)\n", "d.api.ENsetjuncdata(index, 700, 0, '')\n", - "d.api.ENsetcoord(index, 0, 0)\n", - "\n", + "d.api.ENsetcoord(index, 0, 0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ec1fc25c", + "metadata": {}, + "outputs": [], + "source": [ "# Add the remaining two junctions with elevations of\n", "# 710 ft and demands of 250 and 500 gpm, respectively\n", "index = d.api.ENaddnode('J2', d.ToolkitConstants.EN_JUNCTION)\n", @@ -64,13 +59,29 @@ "d.api.ENsetcoord(index, 0, -100)\n", "index = d.api.ENaddnode('J3', d.ToolkitConstants.EN_JUNCTION)\n", "d.api.ENsetjuncdata(index, 710, 500, '')\n", - "d.api.ENsetcoord(index, 100, 0)\n", - "\n", + "d.api.ENsetcoord(index, 100, 0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "883498f8", + "metadata": {}, + "outputs": [], + "source": [ "# Add the reservoir at an elevation of 650 ft\n", "index = d.api.ENaddnode('R1', d.ToolkitConstants.EN_RESERVOIR)\n", "d.api.ENsetnodevalue(index, d.ToolkitConstants.EN_ELEVATION, 650)\n", - "d.api.ENsetcoord(index, -100, 0)\n", - "\n", + "d.api.ENsetcoord(index, -100, 0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "efedead6", + "metadata": {}, + "outputs": [], + "source": [ "# Add the tank node at elevation of 850 ft, initial water level\n", "# at 120 ft, minimum level at 100 ft, maximum level at 150 ft\n", "# and a diameter of 50.5 ft\n", @@ -86,46 +97,62 @@ "index = d.api.ENaddlink('P3', d.ToolkitConstants.EN_PIPE, 'J1', 'J3')\n", "d.api.ENsetpipedata(index, 5280, 14, 100, 0)\n", "index = d.api.ENaddlink('P4', d.ToolkitConstants.EN_PIPE, 'J2', 'J3')\n", - "d.api.ENsetpipedata(index, 5280, 14, 100, 0)\n", - "\n", + "d.api.ENsetpipedata(index, 5280, 14, 100, 0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "73ad3dc5", + "metadata": {}, + "outputs": [], + "source": [ "# Add a pump to the project\n", "index = d.api.ENaddlink('PUMP', d.ToolkitConstants.EN_PUMP, 'R1', 'J1')\n", "# Create a single point head curve (index = 1) and assign it to the pump\n", "errcode = d.api.ENaddcurve('C1')\n", "d.api.ENsetcurvevalue(1, 1, 1500, 250)\n", - "d.api.ENsetlinkvalue(index, d.ToolkitConstants.EN_PUMP_HCURVE, 1)\n", - "\n", + "d.api.ENsetlinkvalue(index, d.ToolkitConstants.EN_PUMP_HCURVE, 1)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "99ce5119", + "metadata": {}, + "outputs": [], + "source": [ "# Save the project for future use\n", - "d.api.ENsaveinpfile('example2.inp')\n", - "\n", + "d.api.ENsaveinpfile('example2.inp')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "473bf399", + "metadata": {}, + "outputs": [], + "source": [ "d.plot()\n", - "\n", "d.api.ENclose()" ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0cb73c3e", + "metadata": {}, + "outputs": [], + "source": [ + "d.plot_show()" + ] } ], "metadata": { - "kernelspec": { - "display_name": "Python 3.10.6 64-bit (windows store)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.6" - }, - "vscode": { - "interpreter": { - "hash": "0df096debc758afc4e07b4a6d7176310e13b87e5b446a84739768769d4d90649" - } + "jupytext": { + "cell_metadata_filter": "-all", + "main_language": "python", + "notebook_metadata_filter": "-all" } }, "nbformat": 4, diff --git a/examples/notebooks/Toolkit_api_EX2_using_MSX_functions.ipynb b/examples/notebooks/Toolkit_api_EX2_using_MSX_functions.ipynb new file mode 100644 index 0000000..c21c8fe --- /dev/null +++ b/examples/notebooks/Toolkit_api_EX2_using_MSX_functions.ipynb @@ -0,0 +1,168 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "a745de8e", + "metadata": {}, + "outputs": [], + "source": [ + "from epyt.epanet import epanet, epanetmsxapi\n", + "from epyt import networks\n", + "import numpy as np\n", + "import os" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "05a68f74", + "metadata": {}, + "outputs": [], + "source": [ + "# Create EPANET object using INP file and MSX object using MSX file\n", + "dirname = os.path.dirname(networks.__file__)\n", + "inpname = os.path.join(dirname, 'msx-examples', 'net2-cl2.inp')\n", + "msxname = os.path.join(dirname, 'msx-examples', 'net2-cl2.msx')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "67dfa687", + "metadata": {}, + "outputs": [], + "source": [ + "d = epanet(inpname)\n", + "msx = epanetmsxapi(msxname)\n", + "MSX_SPECIES = 3\n", + "ss = list(range(1, d.LinkCount + 1))\n", + "uu = list(range(1, msx.MSXgetcount(MSX_SPECIES) + 1))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "88892daf", + "metadata": {}, + "outputs": [], + "source": [ + "# Initialized quality and time\n", + "link_count = d.getLinkCount()\n", + "msx_time_step = 300\n", + "time_steps = int(d.getTimeSimulationDuration()/msx_time_step)\n", + "quality = [np.zeros((time_steps, 1)) for _ in range(link_count)]\n", + "time = np.zeros((time_steps, 1))\n", + "data = {\n", + " 'Quality': quality,\n", + " 'Time': time\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0650a135", + "metadata": {}, + "outputs": [], + "source": [ + "# Obtain a hydraulic solution\n", + "msx.MSXsolveH()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f8cfcc31", + "metadata": {}, + "outputs": [], + "source": [ + "# Run a step-wise water quality analysis without saving results to file\n", + "msx.MSXinit(0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f313a240", + "metadata": {}, + "outputs": [], + "source": [ + "# Retrieve species concentration at node\n", + "for i, nl in enumerate(ss, start=1):\n", + " for j_idx, j in enumerate(uu, start=1):\n", + " data['Quality'][i - 1][j_idx - 1] = msx.MSXgetinitqual(1, i, j)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bf678bd0", + "metadata": {}, + "outputs": [], + "source": [ + "k = 0\n", + "tleft = 1\n", + "# Initialized data time with 0\n", + "data['Time'][k] = [0]\n", + "while tleft > 0:\n", + " t, tleft = msx.MSXstep()\n", + " if t > msx_time_step:\n", + " for i, nl in enumerate(ss, start=1):\n", + " for g, j in enumerate(uu, start=1):\n", + " x = msx.MSXgetqual(1, nl, j)\n", + " data['Quality'][i - 1][k, g - 1] = x\n", + " data['Time'][k] = t\n", + " k += 1" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7e260533", + "metadata": {}, + "outputs": [], + "source": [ + "# Plot quality over time (in hrs) for link 1\n", + "hrs_time = data['Time'] / 3600\n", + "d.plot_ts(X=hrs_time, Y=data['Quality'][0],\n", + " title=f'Quality vs Time Link 1', legend_location='best', marker=None,\n", + " xlabel='Time (hrs)', ylabel=f'CL2 Concentration (ppm)', figure_size=[4, 3])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9d25d00b", + "metadata": {}, + "outputs": [], + "source": [ + "# Plot quality over time (in hrs) for link 36\n", + "d.plot_ts(X=hrs_time, Y=data['Quality'][35],\n", + " title=f'Quality vs Time Link 36', legend_location='best', marker=None,\n", + " xlabel='Time (hrs)', ylabel=f'CL2 Concentration (ppm)', figure_size=[4, 3])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "df270a2d", + "metadata": {}, + "outputs": [], + "source": [ + "# Unload MSX library and EN library.\n", + "msx.MSXclose()\n", + "d.unload()" + ] + } + ], + "metadata": { + "jupytext": { + "cell_metadata_filter": "-all", + "main_language": "python", + "notebook_metadata_filter": "-all" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/notebooks/example2.inp b/examples/notebooks/example2.inp deleted file mode 100644 index 2bf4733..0000000 --- a/examples/notebooks/example2.inp +++ /dev/null @@ -1,123 +0,0 @@ -[TITLE] - -[JUNCTIONS] - J1 700.0000 - J2 710.0000 - J3 710.0000 - -[RESERVOIRS] - R1 650.0000 - -[TANKS] - T1 850.0000 120.0000 100.0000 150.0000 50.5000 1902813.5831 - -[PIPES] - P1 J1 J2 10560.0000 12.0000 100.0000 0.0000 - P2 J1 T1 5280.0000 14.0000 100.0000 0.0000 - P3 J1 J3 5280.0000 14.0000 100.0000 0.0000 - P4 J2 J3 5280.0000 14.0000 100.0000 0.0000 - -[PUMPS] - PUMP R1 J1 HEAD C1 - -[VALVES] - -[DEMANDS] - J1 0.000000 - J2 250.000000 - J3 500.000000 - -[EMITTERS] - -[STATUS] - -[PATTERNS] - -[CURVES] - C1 1500.0000 250.0000 - -[CONTROLS] - -[RULES] - -[QUALITY] - -[SOURCES] - -[MIXING] - T1 MIXED 0.0050 - -[REACTIONS] - ORDER BULK 1.00 - ORDER WALL 1 - ORDER TANK 1.00 - GLOBAL BULK 0.000000 - GLOBAL WALL 0.000000 - -[ENERGY] - GLOBAL EFFIC 75.0000 - DEMAND CHARGE 0.0000 - -[TIMES] - DURATION 0:00:00 - HYDRAULIC TIMESTEP 1:00:00 - QUALITY TIMESTEP 0:06:00 - REPORT TIMESTEP 1:00:00 - REPORT START 0:00:00 - PATTERN TIMESTEP 1:00:00 - PATTERN START 0:00:00 - RULE TIMESTEP 0:06:00 - START CLOCKTIME 0:00:00 - STATISTIC NONE - -[OPTIONS] - UNITS GPM - PRESSURE PSI - HEADLOSS H-W - UNBALANCED STOP - QUALITY NONE - DEMAND MULTIPLIER 1.0000 - EMITTER EXPONENT 0.5000 - VISCOSITY 1.000000 - DIFFUSIVITY 1.000000 - SPECIFIC GRAVITY 1.000000 - TRIALS 200 - ACCURACY 0.00100000 - TOLERANCE 0.01000000 - CHECKFREQ 2 - MAXCHECK 10 - DAMPLIMIT 0.00000000 - -[REPORT] - PAGESIZE 0 - STATUS NO - SUMMARY YES - ENERGY NO - MESSAGES YES - NODES NONE - LINKS NONE - Elevation NO - Demand PRECISION 2 - Head PRECISION 2 - Pressure PRECISION 2 - Quality PRECISION 2 - Length NO - Diameter NO - Flow PRECISION 2 - Velocity PRECISION 2 - Headloss PRECISION 2 - Quality NO - State NO - Setting NO - Reaction NO - -[COORDINATES] - J1 0.000000 0.000000 - J2 0.000000 -100.000000 - J3 100.000000 0.000000 - R1 -100.000000 0.000000 - T1 0.000000 60.000000 - -[VERTICES] - -[END] diff --git a/examples/notebooks/net1_overflow.inp b/examples/notebooks/net1_overflow.inp deleted file mode 100644 index 4538448..0000000 --- a/examples/notebooks/net1_overflow.inp +++ /dev/null @@ -1,183 +0,0 @@ -[TITLE] - EPANET Example Network 1 -A simple example of modeling chlorine decay. Both bulk and -wall reactions are included. - -[JUNCTIONS] - 10 710.0000 - 11 710.0000 - 12 700.0000 - 13 695.0000 - 21 700.0000 - 22 695.0000 - 23 690.0000 - 31 700.0000 - 32 710.0000 - -[RESERVOIRS] - 9 800.0000 - -[TANKS] - 2 850.0000 130.0000 100.0000 130.0000 50.5000 200296.1666 * YES - -[PIPES] - 10 10 11 10530.0000 18.0000 100.0000 0.0000 - 11 11 12 5280.0000 14.0000 100.0000 0.0000 - 12 12 13 5280.0000 10.0000 100.0000 0.0000 - 21 21 22 5280.0000 10.0000 100.0000 0.0000 - 22 22 23 5280.0000 12.0000 100.0000 0.0000 - 31 31 32 5280.0000 6.0000 100.0000 0.0000 - 110 2 12 200.0000 18.0000 100.0000 0.0000 - 111 11 21 5280.0000 10.0000 100.0000 0.0000 - 112 12 22 5280.0000 12.0000 100.0000 0.0000 - 113 13 23 5280.0000 8.0000 100.0000 0.0000 - 121 21 31 5280.0000 8.0000 100.0000 0.0000 - 122 22 32 5280.0000 6.0000 100.0000 0.0000 - -[PUMPS] - 9 9 10 HEAD 1 - -[VALVES] - -[DEMANDS] - 10 0.000000 1 - 11 150.000000 1 - 12 150.000000 1 - 13 100.000000 1 - 21 150.000000 1 - 22 200.000000 1 - 23 150.000000 1 - 31 100.000000 1 - 32 100.000000 1 - -[EMITTERS] - -[STATUS] - -[PATTERNS] -;Demand Pattern - 1 1.0000 1.2000 1.4000 1.6000 1.4000 1.2000 - 1 1.0000 0.8000 0.6000 0.4000 0.6000 0.8000 - -[CURVES] -;PUMP: Pump Curve for Pump 9 - 1 1500.0000 250.0000 - -[CONTROLS] - LINK 9 1.0000 IF NODE 2 BELOW 110.0000 - LINK 9 0.0000 IF NODE 2 ABOVE 140.0000 - -[RULES] - -[QUALITY] - 10 0.500000 - 11 0.500000 - 12 0.500000 - 13 0.500000 - 21 0.500000 - 22 0.500000 - 23 0.500000 - 31 0.500000 - 32 0.500000 - 9 1.000000 - 2 1.000000 - -[SOURCES] - -[MIXING] - 2 MIXED 1.0000 - -[REACTIONS] - ORDER BULK 1.00 - ORDER WALL 1 - ORDER TANK 1.00 - GLOBAL BULK -0.500000 - GLOBAL WALL -1.000000 - -[ENERGY] - GLOBAL EFFIC 75.0000 - DEMAND CHARGE 0.0000 - -[TIMES] - DURATION 1:00:00 - HYDRAULIC TIMESTEP 1:00:00 - QUALITY TIMESTEP 0:05:00 - REPORT TIMESTEP 1:00:00 - REPORT START 0:00:00 - PATTERN TIMESTEP 2:00:00 - PATTERN START 0:00:00 - RULE TIMESTEP 0:06:00 - START CLOCKTIME 0:00:00 - STATISTIC NONE - -[OPTIONS] - UNITS GPM - PRESSURE PSI - HEADLOSS H-W - UNBALANCED CONTINUE 10 - QUALITY Chlorine mg/L - DEMAND MULTIPLIER 1.0000 - EMITTER EXPONENT 0.5000 - VISCOSITY 1.000000 - DIFFUSIVITY 1.000000 - SPECIFIC GRAVITY 1.000000 - TRIALS 40 - ACCURACY 0.00100000 - TOLERANCE 0.01000000 - CHECKFREQ 2 - MAXCHECK 10 - DAMPLIMIT 0.00000000 - -[REPORT] - PAGESIZE 0 - STATUS YES - SUMMARY NO - ENERGY NO - MESSAGES YES - NODES NONE - LINKS NONE - Elevation NO - Demand PRECISION 2 - Head PRECISION 2 - Pressure PRECISION 2 - Quality PRECISION 2 - Length NO - Diameter NO - Flow PRECISION 2 - Velocity PRECISION 2 - Headloss PRECISION 2 - Quality NO - State NO - Setting NO - Reaction NO - -[COORDINATES] - 10 20.000000 70.000000 - 11 30.000000 70.000000 - 12 50.000000 70.000000 - 13 70.000000 70.000000 - 21 30.000000 40.000000 - 22 50.000000 40.000000 - 23 70.000000 40.000000 - 31 30.000000 10.000000 - 32 50.000000 10.000000 - 9 10.000000 70.000000 - 2 50.000000 90.000000 - -[VERTICES] - -[TAGS] - -[LABELS] -;X-Coord Y-Coord Label & Anchor Node - 6.99 73.63 "Source" - 13.48 68.13 "Pump" - 43.85 91.21 "Tank" - -[BACKDROP] - DIMENSIONS 7.00 6.00 73.00 94.00 - UNITS None - FILE - OFFSET 0.00 0.00 - -[END] From 98f65864b49de1019dd1fe1f26d1a3bfba48bc38 Mon Sep 17 00:00:00 2001 From: "Marios S. Kyriakou" Date: Thu, 5 Feb 2026 09:28:57 +0200 Subject: [PATCH 176/183] Support multiple attr args and fix link quality --- epyt/epanet.py | 16 +++++++++++++--- 1 file changed, 13 insertions(+), 3 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index 1474bb0..bef3685 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -2028,12 +2028,17 @@ def getComputedHydraulicTimeSeries(self, *argv): 'tankvolume', 'flow', 'velocity', 'headloss', 'status', 'setting', 'energy', 'efficiency', 'state', 'linkleakagerate', 'nodeleakageflow', 'emitterflow', 'demanddelivered', 'demandrequested'] + elif len(argv) > 1: + attrs = [str(a).strip().lower() for a in argv] else: x = argv[0] if isinstance(x, str): attrs = [x.strip().lower()] else: - attrs = [str(a).strip().lower() for a in x] + try: + attrs = [str(a).strip().lower() for a in x] + except TypeError: + attrs = [str(x).strip().lower()] value.Time = [] if 'pressure' in attrs: @@ -2207,12 +2212,17 @@ def getComputedQualityTimeSeries(self, *argv): if len(argv) == 0: attrs = ['time', 'nodequality', 'linkquality', 'mass'] + elif len(argv) > 1: + attrs = [str(a).strip().lower() for a in argv] else: x = argv[0] if isinstance(x, str): attrs = [x.strip().lower()] else: - attrs = [str(a).strip().lower() for a in x] + try: + attrs = [str(a).strip().lower() for a in x] + except TypeError: + attrs = [str(x).strip().lower()] attrs = [a.lower() for a in attrs] @@ -2236,7 +2246,7 @@ def getComputedQualityTimeSeries(self, *argv): if 'nodequality' in attrs: value.NodeQuality[k] = self.api.ENgetnodevalues(self.ToolkitConstants.EN_QUALITY) if 'linkquality' in attrs: - value.LinkQuality[k] = self.api.ENgetlinkvalues(self.ToolkitConstants.EN_QUALITY) + value.LinkQuality[k] = self.api.ENgetlinkvalues(self.ToolkitConstants.EN_LINKQUAL) if 'mass' in attrs: value.MassFlowRate[k] = self.api.ENgetnodevalues(self.ToolkitConstants.EN_SOURCEMASS) if 'demand' in attrs: From 05693aa0a40b0d183131f875ef2c3c5e81830f33 Mon Sep 17 00:00:00 2001 From: "Marios S. Kyriakou" Date: Thu, 5 Feb 2026 09:51:09 +0200 Subject: [PATCH 177/183] Use numpy arrays and fix rescount bug --- epyt/epanet.py | 18 ++++++++++-------- 1 file changed, 10 insertions(+), 8 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index bef3685..abd4435 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -2082,17 +2082,19 @@ def getComputedHydraulicTimeSeries(self, *argv): nLinks = self.api.ENgetcount(self.ToolkitConstants.EN_LINKCOUNT) nNodes = self.api.ENgetcount(self.ToolkitConstants.EN_NODECOUNT) - idx = self.getLinkTypeIndex() - pipecount = ( - np.count_nonzero(idx == self.ToolkitConstants.EN_PIPE) + - np.count_nonzero(idx == self.ToolkitConstants.EN_CVPIPE) - ) - find_pumps = idx == self.ToolkitConstants.EN_PUMP - pumpcount = np.count_nonzero(find_pumps) + idxL = self.getLinkTypeIndex() + idxL = np.asarray(idxL) + pipecount = np.isin( + idxL, + [self.ToolkitConstants.EN_PIPE, self.ToolkitConstants.EN_CVPIPE] + ).sum() + pumpcount = (idxL == self.ToolkitConstants.EN_PUMP).sum() valvecount = nLinks - pumpcount - pipecount + idxN = self.getNodeTypeIndex() + idxN = np.asarray(idxN) tankrescount = self.api.ENgetcount(self.ToolkitConstants.EN_TANKCOUNT) junctioncount = nNodes - tankrescount - rescount = np.count_nonzero(idx == self.ToolkitConstants.EN_RESERVOIR) + rescount = (idxN == self.ToolkitConstants.EN_RESERVOIR).sum() k, tstep = 1, 1 while tstep > 0: t = self.api.ENrunH() From 2c2ca058469a6c4339e98c9571f7bf356ca94dea Mon Sep 17 00:00:00 2001 From: "Marios S. Kyriakou" Date: Thu, 5 Feb 2026 15:03:23 +0200 Subject: [PATCH 178/183] Refactor and fix unit tests in general_unit_test.py --- epyt/tests/general_unit_test.py | 37 ++++++--------------------------- 1 file changed, 6 insertions(+), 31 deletions(-) diff --git a/epyt/tests/general_unit_test.py b/epyt/tests/general_unit_test.py index 17c6470..97a81e3 100644 --- a/epyt/tests/general_unit_test.py +++ b/epyt/tests/general_unit_test.py @@ -581,13 +581,14 @@ def test_getComputedHydraulicTimeSeries(self): err_msg='Wrong velocity output', decimal=4) def test_getComputedQualityTimeSeries(self): + res = self.epanetClass.getComputedQualityTimeSeries('LinkQuality', 'nodequality') np.testing.assert_array_almost_equal( - self.epanetClass.getComputedQualityTimeSeries().NodeQuality[10], + res.NodeQuality[10], np.array([1., 0.45269294, 0.44701226, 0.43946804, 0.42596667, 0.4392986, 0.45068901, 0.41946084, 0.4033391, 1., 0.97200717]), err_msg='Wrong NodeQuality output') - np.testing.assert_array_almost_equal(self.epanetClass.getComputedQualityTimeSeries().LinkQuality[10], + np.testing.assert_array_almost_equal(res.LinkQuality[10], np.array([0.79051035, 0.44701226, 0.43946804, 0.43188486, 0.45136891, 0.40885247, 0.4475449, 0.440129, 0.44680907, 0.44516552, 0.41946084, 0.40761727, 1.]), @@ -1282,7 +1283,7 @@ def test_getTime(self): self.assertEqual(self.epanetClass.getTimeReportingStart(), 0, 'Wrong Time Output') self.assertEqual(self.epanetClass.getTimeRuleControlStep(), 360, 'Wrong Time Reporting Start Output') self.assertEqual(self.epanetClass.getTimeStatisticsType(), 'NONE', 'Wrong Time Statistics Type Output') - self.assertEqual(self.epanetClass.getTimeReportingPeriods(), 25, 'Wrong Time Output') + self.assertEqual(self.epanetClass.getTimeReportingPeriods(), 24, 'Wrong Time Output') self.assertEqual(self.epanetClass.getTimeClockStartTime(), 0, 'Wrong Reporting Periods Output') self.assertEqual(self.epanetClass.getTimeHTime(), 86400, 'Wrong hydraulic solution Time Output') self.assertEqual(self.epanetClass.getTimeQTime(), 86400, 'Wrong quality solution Time Output') @@ -3463,35 +3464,9 @@ def test_getComputedHydraulicTimeSeries(): np.testing.assert_array_almost_equal(actual, desired, err_msg=err_msg, decimal=5) # Test State - desired = np.array([[3], - [3], - [3], - [3], - [3], - [3], - [3], - [3], - [3], - [3], - [3], - [3], - [3], - [2], - [2], - [2], - [2], - [2], - [2], - [2], - [2], - [2], - [2], - [2], - [3], - [3], - [3]]) + desired = np.array([3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3]) actual = comp_vals.State - np.testing.assert_array_almost_equal(actual, desired, err_msg=err_msg, decimal=5) + np.testing.assert_array_almost_equal(actual[:, 10], desired, err_msg=err_msg, decimal=5) # Test Tank Volume desired = np.array([[0., 0., 0., From 55799afd96ae3e76bba061197fb5fb3fd34cd70e Mon Sep 17 00:00:00 2001 From: "Marios S. Kyriakou" Date: Thu, 5 Feb 2026 15:06:23 +0200 Subject: [PATCH 179/183] Use networks.inp_files() for test INP file --- epyt/tests/general_unit_test.py | 5 +++-- epyt/tests/net1_unit_test.py | 5 +++-- 2 files changed, 6 insertions(+), 4 deletions(-) diff --git a/epyt/tests/general_unit_test.py b/epyt/tests/general_unit_test.py index 97a81e3..1450c6c 100644 --- a/epyt/tests/general_unit_test.py +++ b/epyt/tests/general_unit_test.py @@ -2,14 +2,15 @@ from math import isclose import numpy as np -from epyt import epanet + +from epyt import epanet, networks class AddTest(unittest.TestCase): def setUp(self): """Call before every test case.""" # Create EPANET object using the INP file - inp_name = 'Net1.inp' + inp_name = networks.inp_files().Net1 self.epanetClass = epanet(inp_name, ph=False) def tearDown(self): diff --git a/epyt/tests/net1_unit_test.py b/epyt/tests/net1_unit_test.py index 1a1ea01..e44d046 100644 --- a/epyt/tests/net1_unit_test.py +++ b/epyt/tests/net1_unit_test.py @@ -1,14 +1,15 @@ import unittest import numpy as np -from epyt import epanet + +from epyt import epanet, networks class TestGetSetLinksCase(unittest.TestCase): def setUp(self): """Call before every test case.""" # Create EPANET object using the INP file - inp_name = 'Net1.inp' + inp_name = networks.inp_files().Net1 self.epanetClass = epanet(inp_name, ph=False) def tearDown(self): From 7010746bafdb50c946a66d1373d3e7dcc2e7ac4b Mon Sep 17 00:00:00 2001 From: "Marios S. Kyriakou" Date: Thu, 5 Feb 2026 15:28:35 +0200 Subject: [PATCH 180/183] Refactor networks file index and update tests --- epyt/networks/__init__.py | 31 ++++++++++++++--------------- epyt/tests/testFunctions.py | 6 +++--- epyt/tests/testFunctions_2_3.py | 7 ++++--- epyt/tests/testFunctions_ex.py | 5 +++-- epyt/tests/testGetSetLinks.py | 4 ++-- epyt/tests/testGetSetNodes.py | 4 ++-- epyt/tests/test_unit_Leakage.py | 6 ++---- epyt/tests/test_unit_MSX.py | 12 +++++------ epyt/tests/test_unit_MSX_Options.py | 17 ++++++++-------- epyt/tests/test_unit_update2_3.py | 5 ++--- 10 files changed, 47 insertions(+), 50 deletions(-) diff --git a/epyt/networks/__init__.py b/epyt/networks/__init__.py index 7f2754e..ec0a12b 100644 --- a/epyt/networks/__init__.py +++ b/epyt/networks/__init__.py @@ -25,7 +25,7 @@ def walk(trav): def _safe_attr(name: str) -> str: # make a valid python identifier for attribute access base = os.path.splitext(os.path.basename(name))[0] - base = re.sub(r"\W+", "_", base) # replace non-word chars + base = re.sub(r"\W+", "_", base) # replace non-word chars if not base: base = "file" if base[0].isdigit(): @@ -35,6 +35,7 @@ def _safe_attr(name: str) -> str: class NetIndex(dict): """dict + attribute access for network file paths.""" + def __getattr__(self, item): try: return self[item] @@ -47,32 +48,30 @@ def __repr__(self): return f"NetIndex({len(self)} files: {keys}{more})" -def inp_files(): - paths = _collect_files(".inp") +def _net_files(ext: str) -> "NetIndex": + paths = _collect_files(ext) m = NetIndex() for rel in paths: + p = Path(rel) + base = p.name + # allow nets["Net2.inp"] exact - m[os.path.basename(rel)] = rel + m[base] = os.fspath(p) # allow nets["Net2"] and nets.Net2 - key = os.path.splitext(os.path.basename(rel))[0] - m[key] = rel + stem = p.stem + m[stem] = os.fspath(p) # also safe attribute alias (in case of weird names) - m[_safe_attr(os.path.basename(rel))] = rel + m[_safe_attr(base)] = os.fspath(p) return m -def msx_files(): - paths = _collect_files(".msx") - m = NetIndex() +def inp_files() -> "NetIndex": + return _net_files(".inp") - for rel in paths: - m[os.path.basename(rel)] = rel - key = os.path.splitext(os.path.basename(rel))[0] - m[key] = rel - m[_safe_attr(os.path.basename(rel))] = rel - return m +def msx_files() -> "NetIndex": + return _net_files(".msx") diff --git a/epyt/tests/testFunctions.py b/epyt/tests/testFunctions.py index 8dd8168..50a6cce 100644 --- a/epyt/tests/testFunctions.py +++ b/epyt/tests/testFunctions.py @@ -2,13 +2,13 @@ EPANET Python Toolkit (EPyT) Test Part 1 This file is provided to ensure that all functions can be executed correctly. Step-by-step execution. You may also use breakpoints. -""" +# """ from pathlib import Path -from epyt import epanet +from epyt import epanet, networks # Create EPANET object using the INP file -inpname = "Net1.inp" +inpname = networks.inp_files().Net1 d = epanet(inpname) # Net1 Net2 Net3 BWSN_Network_1 ky1 -10 # %% Get/Set Functions diff --git a/epyt/tests/testFunctions_2_3.py b/epyt/tests/testFunctions_2_3.py index 169c918..cc38546 100644 --- a/epyt/tests/testFunctions_2_3.py +++ b/epyt/tests/testFunctions_2_3.py @@ -4,10 +4,11 @@ Step-by-step execution. You may also use breakpoints. """ -from epyt import epanet +from epyt import epanet, networks -inpfile = "Net1.inp" -d = epanet(inpfile) +# Create EPANET object using the INP file +inpname = networks.inp_files().Net1 +d = epanet(inpname) # Setcurve d.setCurveTypePump(1) diff --git a/epyt/tests/testFunctions_ex.py b/epyt/tests/testFunctions_ex.py index 2d3e33e..941dc2a 100644 --- a/epyt/tests/testFunctions_ex.py +++ b/epyt/tests/testFunctions_ex.py @@ -3,10 +3,11 @@ This file is provided to ensure that all functions can be executed correctly. Step-by-step execution. You may also use breakpoints. """ -from epyt import epanet +from epyt import epanet, networks # Create EPANET object using the INP file -d = epanet('Net1.inp') # Net1 Net2 Net3 BWSN_Network_1 L-TOWN ky10 +inpname = networks.inp_files().Net1 # Net1 Net2 Net3 BWSN_Network_1 L-TOWN ky10 +d = epanet(inpname) # Print properties d.printv(dir(d)) diff --git a/epyt/tests/testGetSetLinks.py b/epyt/tests/testGetSetLinks.py index 3bb16f7..f5cd8a7 100644 --- a/epyt/tests/testGetSetLinks.py +++ b/epyt/tests/testGetSetLinks.py @@ -4,10 +4,10 @@ Step-by-step execution. You may also use the breakpoints, indicated with a short dash (-) on the left of each line number. """ -from epyt import epanet +from epyt import epanet, networks # Create EPANET object using the INP file -inpname = 'Net1.inp' # Net1 Net2 Net3 BWSN_Network_1 L-TOWN ky1 -10 +inpname = networks.inp_files().Net1 # Net1 Net2 Net3 BWSN_Network_1 L-TOWN ky10 d = epanet(inpname) # *Get Links Data (EXAMPLES)* diff --git a/epyt/tests/testGetSetNodes.py b/epyt/tests/testGetSetNodes.py index 1f0df82..92c9464 100644 --- a/epyt/tests/testGetSetNodes.py +++ b/epyt/tests/testGetSetNodes.py @@ -4,10 +4,10 @@ Step-by-step execution. You may also use the breakpoints, indicated with a short dash (-) on the left of each line number. """ -from epyt import epanet +from epyt import epanet, networks # Create EPANET object using the INP file -inpname = 'Net1.inp' # Net1 Net2 Net3 BWSN_Network_1 L-TOWN ky1 -10 +inpname = networks.inp_files().Net1 # Net1 Net2 Net3 BWSN_Network_1 L-TOWN ky10 d = epanet(inpname) # *Get Nodes Data (EXAMPLES)* diff --git a/epyt/tests/test_unit_Leakage.py b/epyt/tests/test_unit_Leakage.py index e18c317..c73ee28 100644 --- a/epyt/tests/test_unit_Leakage.py +++ b/epyt/tests/test_unit_Leakage.py @@ -1,15 +1,13 @@ -import math import unittest -from epyt import epanet +from epyt import epanet, networks class TestLeakage(unittest.TestCase): def test_leakage_model(self): - # Create class and open network - d = epanet("Net1.inp") + d = epanet(networks.inp_files().Net1) # Single period analysis error = d.api.ENsettimeparam(d.ToolkitConstants.EN_DURATION, 0) diff --git a/epyt/tests/test_unit_MSX.py b/epyt/tests/test_unit_MSX.py index 7ae65ed..bbeca87 100644 --- a/epyt/tests/test_unit_MSX.py +++ b/epyt/tests/test_unit_MSX.py @@ -3,16 +3,16 @@ from epyt import epanet, networks -DIRNAME = os.path.dirname(networks.__file__) - class MSXtest(unittest.TestCase): def setUp(self): """Call before every test case.""" # Create EPANET object using the INP file. - inpname = os.path.join(DIRNAME, 'msx-examples', 'Net3-NH2CL.inp') - msxfile = os.path.join(DIRNAME, 'msx-examples', 'Net3-NH2CL.msx') + self.inps = networks.inp_files() + self.msxs = networks.msx_files() + inpname = self.inps.Net3_NH2CL + msxfile = self.msxs.Net3_NH2CL self.epanetClass = epanet(inpname) self.msxClass = self.epanetClass.loadMSXFile(msxfile) @@ -443,9 +443,9 @@ def test_MSXsavemsxfile(self): def test_MSXgetqual(self): self.msxClass.MSXclose() self.epanetClass.unload() - inpname = os.path.join(DIRNAME, 'msx-examples', 'net2-cl2.inp') + inpname = self.inps.net2_cl2 self.epanetClass = epanet(inpname) - file_path = os.path.join(DIRNAME, 'msx-examples', 'net2-cl2.msx') + file_path = self.msxs.net2_cl2 self.msxClass = self.epanetClass.loadMSXFile(file_path) self.msxClass.MSXsolveH() diff --git a/epyt/tests/test_unit_MSX_Options.py b/epyt/tests/test_unit_MSX_Options.py index c9f4d7d..9e1fa28 100644 --- a/epyt/tests/test_unit_MSX_Options.py +++ b/epyt/tests/test_unit_MSX_Options.py @@ -1,20 +1,19 @@ -import os import unittest from epyt import epanet, networks -DIRNAME = os.path.dirname(networks.__file__) - class MSXtest(unittest.TestCase): def setUp(self): """Call before every test case.""" # Create EPANET object using the INP file - inpname = os.path.join(DIRNAME, 'msx-examples', 'net2-cl2.inp') - msxname = os.path.join(DIRNAME, 'msx-examples', 'net2-cl2.msx') + self.inps = networks.inp_files() + self.msxs = networks.msx_files() + inpname = self.inps.net2_cl2 + msxfile = self.msxs.net2_cl2 self.epanetClass = epanet(inpname) - self.msxClass = self.epanetClass.loadMSXFile(msxname) + self.msxClass = self.epanetClass.loadMSXFile(msxfile) def tearDown(self): """Call after every test case.""" @@ -75,13 +74,13 @@ def test_MSXOptions(self): self.epanetClass.setMSXCompilerVC() self.assertEqual(self.epanetClass.getMSXCompiler(), - "VC", "Wrong get Compiler comments output") + "VC", "Wrong get Compiler comments output") self.epanetClass.setMSXCompilerGC() self.assertEqual(self.epanetClass.getMSXCompiler(), - "GC", "Wrong get Compiler comments output") + "GC", "Wrong get Compiler comments output") self.epanetClass.setMSXCompilerNONE() self.assertEqual(self.epanetClass.getMSXCompiler(), - "NONE", "Wrong get Compiler comments output") + "NONE", "Wrong get Compiler comments output") self.epanetClass.setMSXAtol(0.2) self.assertEqual(self.epanetClass.getMSXAtol(), diff --git a/epyt/tests/test_unit_update2_3.py b/epyt/tests/test_unit_update2_3.py index 2df7c57..4d4b8dd 100644 --- a/epyt/tests/test_unit_update2_3.py +++ b/epyt/tests/test_unit_update2_3.py @@ -3,15 +3,14 @@ from epyt import epanet, networks -DIRNAME = os.path.dirname(networks.__file__) - class update2_3(unittest.TestCase): def setUp(self): """Call before every test case.""" # Create EPANET object using the INP file - inpname = os.path.join(DIRNAME, 'asce-tf-wdst', 'Net1.inp') + self.inps = networks.inp_files() + inpname = self.inps.Net1 self.epanetClass = epanet(inpname) def tearDown(self): From e497036debb808bb05a6749b17e91d510dfee4d4 Mon Sep 17 00:00:00 2001 From: "Marios S. Kyriakou" Date: Thu, 5 Feb 2026 15:33:25 +0200 Subject: [PATCH 181/183] Update epanet_cffi_compat.py --- epyt/src/epanet_cffi_compat.py | 87 ++++++++++++++++++++++++++++++++-- 1 file changed, 82 insertions(+), 5 deletions(-) diff --git a/epyt/src/epanet_cffi_compat.py b/epyt/src/epanet_cffi_compat.py index d7bae59..9b481b6 100644 --- a/epyt/src/epanet_cffi_compat.py +++ b/epyt/src/epanet_cffi_compat.py @@ -1,10 +1,11 @@ # -*- coding: utf-8 -*- -from functools import lru_cache -from threading import RLock import re import sys -from cffi import FFI +from functools import lru_cache from pathlib import Path +from threading import RLock + +from cffi import FFI ffi = FFI() @@ -78,11 +79,13 @@ re.VERBOSE | re.DOTALL, ) + def _apply_type_aliases(text: str) -> str: for token, ctype in _TYPE_ALIASES.items(): text = re.sub(rf"\b{re.escape(token)}\b", ctype, text) return text + def _load_decls_from_header(header_path: str = None) -> str: # Accept a single header path or use both defaults paths = [Path(header_path)] if header_path else _HEADER_DEFAULTS @@ -125,8 +128,10 @@ def _load_decls_from_header(header_path: str = None) -> str: return "\n".join(uniq) + ("\n" if uniq else "") + _CDEF_DECLS = None + def _ensure_cdef(header_path: str = None): global _CDEF_DONE, _CDEF_DECLS if _CDEF_DONE: @@ -159,67 +164,86 @@ def _ensure_cdef(header_path: str = None): # --------------------------------------------- class _Ptr: __slots__ = ("c_type", "ptr") + def __init__(self, c_type: str): self.c_type = c_type self.ptr = ffi.new(f"{c_type} *") + @property def value(self): return self.ptr[0] + @value.setter def value(self, v): self.ptr[0] = v + class _Handle: __slots__ = ("ptr",) + def __init__(self): self.ptr = ffi.new("void *[1]", [ffi.NULL]) + @property def value(self): return self.ptr[0] + @value.setter def value(self, v): if isinstance(v, int): self.ptr[0] = ffi.cast("void *", v) else: self.ptr[0] = v + @property def as_voidp(self): return self.ptr[0] + class _CVoidP: __slots__ = ("ptr",) + def __init__(self, value=None): if value is None: value = ffi.NULL elif isinstance(value, int): value = ffi.cast("void *", value) self.ptr = ffi.new("void *[1]", [value]) + @property def value(self): return self.ptr[0] + @value.setter def value(self, v): if isinstance(v, int): v = ffi.cast("void *", v) self.ptr[0] = v + class _CVoidPType: __slots__ = () + def __call__(self, value=None): return _CVoidP(value) + # Factory to create a mutable void* holder c_void_p = _CVoidPType() + class _Buffer: __slots__ = ("ptr", "n") + def __init__(self, n: int): n = int(n) self.n = n self.ptr = ffi.new(f"char[{n}]") + @property def value(self) -> bytes: return ffi.string(self.ptr) + @value.setter def value(self, b): if not isinstance(b, (bytes, bytearray)): @@ -232,11 +256,40 @@ def value(self, b): ffi.memmove(self.ptr, b, n) self.ptr[n] = 0 + +class _ENProjectPtr: + __slots__ = ("ptr",) + + def __init__(self): + # EN_Project is typedef void *EN_Project; + # EN_Project *ph -> pointer to that handle + self.ptr = ffi.new("EN_Project *") + + @property + def value(self): + return self.ptr[0] + + @value.setter + def value(self, v): + if isinstance(v, int): + v = ffi.cast("EN_Project", v) + self.ptr[0] = v + + +class _ENProjectPtrType: + __slots__ = () + + def __call__(self): + return _ENProjectPtr() + + class _ArrayFactory: __slots__ = ("ctype", "n") + def __init__(self, ctype: str, n: int): self.ctype = ctype self.n = int(n) + def __call__(self, *vals): if vals: if len(vals) == 1 and hasattr(vals[0], "__iter__"): @@ -244,36 +297,47 @@ def __call__(self, *vals): return ffi.new(f"{self.ctype}[{self.n}]", list(vals)) return ffi.new(f"{self.ctype}[{self.n}]") + class _CScalarType: __slots__ = ("ctype", "pycast") + def __init__(self, ctype: str, pycast): self.ctype = ctype self.pycast = pycast + def __call__(self, value=None): if value is None: return _Ptr(self.ctype) return self.pycast(value) + def __mul__(self, n): return _ArrayFactory(self.ctype, n) + +EN_Project_p = _ENProjectPtrType() c_int = _CScalarType("int", int) c_long = _CScalarType("long", int) c_float = _CScalarType("float", float) c_double = _CScalarType("double", float) + class _CUInt64Type: __slots__ = () + def __call__(self, value=None): if value is None: return _Handle() return int(value) + c_uint64 = _CUInt64Type() + @lru_cache(maxsize=4096) def _cstr_cached(b: bytes): return ffi.new("char[]", b) + def c_char_p(b, *, intern: bool = True): if b is None: return _C_CHARP_NULL @@ -285,9 +349,11 @@ def c_char_p(b, *, intern: bool = True): return _cstr_cached(b) return ffi.new("char[]", b) + def void_p_null(): return _C_VOIDP_NULL + # ---------------------- function-pointer helpers ------------------------ def _normalize_funcptr_signature(signature: str) -> str: s = signature.strip() @@ -298,23 +364,31 @@ def _normalize_funcptr_signature(signature: str) -> str: s = f"{ret} (* ){args}" return s + def funcptr_null(signature: str): sig = _normalize_funcptr_signature(signature) return ffi.cast(sig, 0) + def make_callback(signature: str, pyfunc): return ffi.callback(signature)(pyfunc) + def create_string_buffer(n: int): return _Buffer(n) + def byref(obj): - if isinstance(obj, (_Ptr, _Buffer)): + if isinstance(obj, (_Ptr, _Buffer, _Handle, _CVoidP)): + return obj.ptr + if hasattr(obj, "ptr"): return obj.ptr return obj + class _LibProxy: __slots__ = ("_lib", "_cache") + def __init__(self, libpath: str, header_path: str = None): _ensure_cdef(header_path) self._lib = ffi.dlopen(libpath, flags=getattr(ffi, "RTLD_NOW", 0)) @@ -348,18 +422,20 @@ def __getattr__(self, name: str): for alt in alt_names: try: cfunc = getattr(self._lib, alt) - cache[name] = cfunc # cache under the originally requested name + cache[name] = cfunc # cache under the originally requested name return cfunc except AttributeError: continue raise AttributeError(name) + class cdll: @staticmethod def LoadLibrary(path: str, *, header_path: str = None): return _LibProxy(path, header_path=header_path) + __all__ = [ "ffi", "c_int", "c_long", "c_float", "c_double", "c_uint64", @@ -369,6 +445,7 @@ def LoadLibrary(path: str, *, header_path: str = None): "c_void_p", ] + def get_cdef_decls(): _ensure_cdef() return _CDEF_DECLS From 693c43a783e863cc0ee827f95ae6acddb3291e17 Mon Sep 17 00:00:00 2001 From: "Marios S. Kyriakou" Date: Thu, 5 Feb 2026 15:55:26 +0200 Subject: [PATCH 182/183] update epanet/tests - temp change 240 --- epyt/epanet.py | 4 +--- epyt/src/epanetapi.py | 3 ++- epyt/tests/general_unit_test.py | 3 +-- 3 files changed, 4 insertions(+), 6 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index abd4435..ade8877 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -3441,9 +3441,7 @@ def getLinkPumpType(self): See also getLinkPumpTypeCode(), getLinkPumpPower. """ v = self.getLinkPumpTypeCode() - pType = [] - for i in v: - pType.append(self.TYPEPUMP[i]) + pType = [self.TYPEPUMP[i] for i in v] return pType def getLinkPumpTypeCode(self): diff --git a/epyt/src/epanetapi.py b/epyt/src/epanetapi.py index ecea575..1e73bdc 100644 --- a/epyt/src/epanetapi.py +++ b/epyt/src/epanetapi.py @@ -1381,7 +1381,8 @@ def ENgetnodevalues(self, property): else: values_array = (c_float * num_nodes)() self.errcode = self._lib.ENgetnodevalues(property, values_array) - self.ENgeterror() + if self.errcode != 240: + self.ENgeterror() return list(values_array) def ENgetnumdemands(self, index): diff --git a/epyt/tests/general_unit_test.py b/epyt/tests/general_unit_test.py index 1450c6c..25a3ee1 100644 --- a/epyt/tests/general_unit_test.py +++ b/epyt/tests/general_unit_test.py @@ -817,8 +817,7 @@ def test_getLinkPumpData(self): """ ---getLinkPumpType--- """ err_msg = 'Wrong Pump Type' # Test 12 - self.assertEqual(d.getLinkPumpType(), ['CUSTOM', 'CUSTOM', 'CUSTOM', 'CUSTOM', 'CUSTOM', 'CUSTOM', - 'CUSTOM', 'CONSTANT_HORSEPOWER'], + self.assertEqual(d.getLinkPumpType(), ['CUSTOM', 'CUSTOM', 'CUSTOM', 'CUSTOM', 'CUSTOM', 'CUSTOM', 'CUSTOM', 'CONSTANT_HORSEPOWER'], err_msg) """ ---getLinkPumpTypeCode--- """ From 279b0d1bdddc54a11cba635247d24ff439db73e5 Mon Sep 17 00:00:00 2001 From: "Marios S. Kyriakou" Date: Thu, 5 Feb 2026 16:00:07 +0200 Subject: [PATCH 183/183] update mac lib --- epyt/libraries/mac/libepanet2 | Bin 52672 -> 33944 bytes epyt/libraries/mac/libepanet2.dylib | Bin 413856 -> 397664 bytes epyt/libraries/mac/libepanet2_2.dylib | Bin 413856 -> 0 bytes 3 files changed, 0 insertions(+), 0 deletions(-) delete mode 100644 epyt/libraries/mac/libepanet2_2.dylib diff --git a/epyt/libraries/mac/libepanet2 b/epyt/libraries/mac/libepanet2 index a97e85cde2a8ecb59eec6d2c6772841cdd7f2290..9dc62a710dee767a55b03dd89e7ae18eb85d358a 100644 GIT binary patch delta 1344 zcmZWpZ%kWN6hH61(mYDLwga~DN4i0fc8z;lLY&sMcPi?q1(C&>Oo~877^6@iYRYU` zXPi?b*UOY_3DGd(x)`0o4}C6XkVT^;YUYv|_rVm@q`h2T61G>L}iuf9eim;)s0dx~DDhE`HdE+MGX~H2K{d!u2kFC{%uiGepoROO{49I`G=Os6g)KZN>SZd7TrH3qHg18o6l`$3 zDl%xZg56#z2R**(O0?rRO>5=r+ItopBE?ylK8o$qFt~9IeMs&CHI?kl&k5cszZPuk zwXOmo5=>`YM9s$brEW!@OyN8jb8$Bof3OrOHWcCNB3xI5>;J=S zEO3Fn5p=Rgg7*s+wmn!U0GkcgZQ!q)VEugIBVG>PX>H5DGLr+qgyU~k7R=-a(sVF< za5Ovyq2Xx%(AcwR4nhbv^PT@ONN}_of6`UVJn56tRc*{adB;W^Pvezh@4$}DNm~~N zCSMXB`+qDR2jJ$9)b)#k<*Rr;xuS4uL4ABOkcX;@j zAp8m|=`r?NVob&I$Qrq|Cjlk=T)bjo8J67AS^WW^< z^hf-K&+pkkxMRZEde`!a$3MBm&L1Jn^>U)VVdBPI#g(_*Qu%8?TMpIC|2hBuU-fgp OjL^=mSjQ`ZY?1K* delta 1905 zcmZ`)4NMbf82;|A#nLudD9p^F9Chjd;jmN$DQ%I83J9#0{UjPV+Cz@kwzP*p5L-pf zew^cWW+B048q8vuY)lM^Zc`TbzsyC=%rcE*Y|HRx&O~M?v9k9HQ;hm1Z@>3@?|Gl^ zz32PBYxisTa1W96l?Y)73Pz>k{Zjnm0mNQjnf6m-~w z?4l?OLfehPF3gy8$n+>!oa4gB5{+;hI~gC05+F1)4sQ@n;a^dqBhId7x8C!Pt}#91 z)X*{=ph)m2vosDNa4{ypk#d3X5%DZuYY@I8DhRx_NYF?Y3qi@UlHpS54Y)}W1#WhE zXb0n~@zPuam6b)g*t+QR=b!SNY2_H7dk~A4QiG~^Mi!Vli_VW%VxdSo9*T4#UX9Rz z{~2?*0XK(72o#2%x>9fF^CN_;Z#O~*Y9SwKUmY5+EDAv_za5mF>Xe?p=TSp05qOe9 zkzy%-hrs$|z$J?}hh>;Ke6(}H#8d#~kHH$~59C4EoPLDG1mH&sF6kd3L?^&;aI8N? zhMI07WD^@1gGS(mx)55$*FzJzu;@5}`bO-Ce-Y+mn&8P$GjC-z{l3_aw4U@x;9^?D zC8S|;g?x0kHT|$$Q(B1B&bM}1OFI;rvJSPnv7=ORqc_lHbr$yd6df5oE+}$F7{Q4t z75kJyYr|osW=w&?>pINBwM8ftZ9rAPmxwCtHHY4dLrpX^I2u4a9I(W?ICB_wugmVu z<}(0u2O5ml94+AUVSW)IePBP<inLdQ#J12q&&Ci)&JPncm&QTP-@r!*b>C=8(5eCsP-a@KV+LLW^B}y; zlQ@HsDcdGF0HA0<1u`Q%WG7_7NKD0f`nQi1{U#-pt%qv8wMM9?!X!z z=K=uO> zQ@7a+QPePBvzzhKZidTT0jAH_>*;)2pIeuoy>dk^lcUeA&(F=#<*vU->ec1zi%D%JMHP9yE{38kwt$7KDqp|RMgj>%t*OwG z+6IpEuA-=xmX<79gk{-1TLEeDQ&m2Xm+^6J<-nE+1z8Txp@ns(=^yC_vJTeH8RfAC zC(~vGiWxGIlC{$ube_pNn1GvO>siKUphOs;{T!U%Ek*-16Ff%XXY9>BmTSw}0_TIH z{mx9<3_Ai012>ABEgKC;$Ke diff --git a/epyt/libraries/mac/libepanet2.dylib b/epyt/libraries/mac/libepanet2.dylib index de774bc5c97f438ea2aadd83c0f0fda43fde5497..a2b3c1d59bfd387576ae504b542a16f85fe9faa5 100644 GIT binary patch literal 397664 zcmeFa3!Gh5efPajPKKNz#4rXLAS9D9rpypxj7fwPDHFy>0wQv;pb$a?9uomE1*?=| zgQGPFJ~A3h6)(AWu^H$6{{DNdeb(7$ z@0ldEeV_Mz&F8Z-XRqsj{n!7#F8l9)`NFS`i=slrzhiig=ee>eiaub!qUdDapCNbU z%FCBtc{wi)|0rDdFMikm{!#YImABpSp4(~#)9t-yQk-}72glnFy^pIEkD~F>y6|=7 z%3E)H*IRE*lG5#ccSGFHLf44i!}dz9J;rYTR<6A6*4uu6%{$(fyw{Jnbbs958($e0 z@b9j8UE4~dy<6UKYi+=3_^$lBxV_b`0lgP}V;O%}u6)-!-o54>*RNdjj{k9swOd zcb`!h6`+c6oT9mTN_PJm@mAm7eT5jFnXbIv!}feT{%`#_eJX!D>&KOT567umD_35> z>b6z2`tdkx@4o(78j$|c{%CM%oHyTm%RA!29&i3Fiq3jn4BuI&*3!cE5_Gz3jdK~# z%9XEQ{)P*ezIM5r&1jt)=QdZ+yA^mqPF@TZHg)o&9;AOiiSv^NZK1! zkAHW%XEFJI$@3~p&HnGKA2db5G$e(l@k{;mJpIZ4tN7%rw|(Ws&3}H=M<%RPTQhm$ zF;0g3CfjerWz$E-pH7~^&tLtMJUEL-ZHdOC=zI`Zh~~ZP*5B9Y^;~xQt+(B9^DEAC zD6mot$=bPcYg2SBtli<>HE#Wz?%ubJKPKAfg^uO?=D*)y;5Qif4F-OLf!|=@HyHT; z3kF7ZM7xIX7`Jt}JL>757*%IR>vk7D*uDE;TVX^0gs57X&{^$`qAz2&oKT9^y|i~n zYu`)xt@OKJ-n~02G~cuH`_TryH!qFfzwX}ez9D|!=H3SATq2H}=p8N-uT%UKzL+s-1q`e=CYM=(qAbT*tkv zutD!0u9AEAaE<3(b)R9Z^)M~j3M`EHY3;(S04$JF6W9wbA?>Cf?<~d_?}A`gZn@3))#$-{1aa z)q9h2rKB7t@TILCzg0Fk-aIA#`-ztL@7xpOzn^X?58n}tx2wP$jNdw3Ec9&bZXMcG zY#rL%J!5F^l&HFIa#S6e8kH+kJIke>!rDip7}kE?`=>d+zU*mj!TZOdX^#k2gN-aHH|y z3mg2tj@}K9Vhw)baQKebZXM|=#B>+%rRHG(-rNKI?S(JYPIU4cs!O1qwuNW(`~mzW zxCY>_JT>N8PU0zTU2teZ9vlsdp*MN)Y#WQ{}V*IN#J;LRR{h zCmn61cvO9CpbtNf%Z{s`$G`J=!e__j&}W=)c=mME{)(P`&%`p+@aJg3#zsBOx6L&& z!0H8aeTkoI_}b5v=34XY=lFHZnT?PBcRHTYyV@OuwxvfbKbY^jHh%hwo<+1F9b)|l z^Zu6(?h(-;xN4X~b3FRfc{?mCqcQDp|(vJW4cnrwW@=mV@Ngv?- zJMg{1#c#Ev-wnDpq#vQ#Tt^3)4x!Aq|0m_sIw`9TbmQxMLw)e>@oIWZ{ONG7 zK80(-WCr8!{0VR{Uc<>b;DIs4zo!_SpZ_2-0a&88sXa6JE!Y=-DE|BC-SOYE?v2Z| z&UW||Zl%v%U$uG7rmeB`M&%#rr@LNnyqrEB+>z27d9)%~0NlCnZg$<^!pxb_U$jbgWF1tL;L#|lfFXO!P$g8*4 zg7F_EtR7Cup-sS@zl-;0+hTV7Ulb|UszsVQ1}Z85QzO=heM-zPG?~SRQu0*J-PrPMfJb^irs!`+1jMm8=zPo3BRJ270!lzA3ZJ*)29F zl7+yc@}>u#p4)TDaJ0d!MIo}ERU;Vf7c&RU4ZgMmk zBXuS?ykOs#e}HUOIgN+42D34Rg9(q-+DLSgE7#)d1MkOISp8~gaH+xZg7@KQV;ndg zD2{vR6F+l!bM+n`P97R71sBX*0nucwasP}*|U zhyGZ9pTEuX0Q4pw`VHj$Vq|2hXyw)XuE%fJ))8VO7OzU-cQm=%PQL+PEEF8;9sV^o zJmu(=yei z9c$0gt9b8l`74qCiW>a?n`_IY$(%j1vS>EpEO8Q;+FJRk*cre+{IC|Y&s7!GTxh@*eLpz5(4@P65oXvnS zl(Vz3@e?}nvIN*9XP0~Y90461PX99;jzr7Ph5d)La5!=m8Z-O=U!A<+{glIj{V?S% zdkrjxJVkM8$yDe_a`r{>7=MkQ9+}s(_&Xn+J7Pa#u^h;)&lQP<5eZbm0F=(?V zyUjd29=hc#Tm9O~NU>$t>T%K2f)yW!c-o91;wRMsd^2JT4Kls5AS$b`9SPI?XQGieDbW4Q`*i*1<8KHswb!wjR;Mpg zvAW>mQT#3uXL{bXp}f-cXo}JQU{g8qy{IQRkOk#5Kd5YF@a{{|bLEg<>hRs&+=%bX zqVm9L#PrXP%Kg_h^(a=lr`5&C&y32#+rXK`#9P7Bb%mabc&}Ur9=am)d$&3Nq0$wP zVW#(E^^V`WE_}!DP5fNt2>z(l`%X@~r<>|Z!XVMIK2>6+nXZuuY}K+ z1LON&zo_TEu07%W$NcuT>}v7U70%!1ul0Eab5Go4G#+>-ZS)f-8R>4W=K*A1e;9XB zECm^~)5lU|e-TSbXhQGs#kHPB^bSq+hwsqT#tDvwl&@Gym=8@|+Z5zahbDPnq`3n} zg{7B0F|%{#jOf9clcQ%=T_ZUh6{2DG?OA^GuI0l%?G--lcG6V$n->g6rByS0{%`yI zJ6-<2)aT0{v3jer`!xTDcB8v$eadH6o#+F#G`7pdY2^zN*yNiV9Q)Wl3j8*A^G1o) zprhosD9(Uq;dX-{j;U!y+2aeFbgcj?c3_eq{^c@OoGUzc5dGIT`!GaQU1 z>86SGx~a6n;uu<&FVA%Sh!)zs{K)HTl3-}Q(f769^<{XI9+b{fUxCgleZ1CJB3pq^ zzeVFC{MO%?hP~ZU*wsG^e4PuvSTn55Vm*I}TZiq-mUHVJ!kJZ+yBIX5r4-jsGJ+)wNfmdF5j`VCVFw%Z$+0sH=(n7Y!p3q!Te)-&{fATzy0Ap z>Gi14`aS8(!jdI*w5fkCUw%p4_Pzf7BG-0vt?du^yyY%$dM)q0F0Zht5&n1kdMn~S zZuRds#P7HGx^o-ruJ&cu#AUDd?{ALZ(b+L>-qbm~?7Q#Zz3j99>)`rVeeGc72R}Sm zD7@`6eyqRe`&io8hpib2Kg%2Qmic-YHRdhxeP0s8a*p1`=Zk>lPrG+lPJ8&^>bLyM z!PVcahb56qZVdB$J%=CZPHSgX+^+e+YWHUF4$T#I#WG2AXnZEvI~w6*|Fq$zu(&bL z_T8whB}*IVZKCQaZ?G{h;Wg;o+1&|0jF4tLcd=}nIIf|6$jFQcxf5NE-!4&v$ta@f^nn=2Lmj;9?jfw zdI@_HiWU>vv|~o!#^Q`aiUaj_PmkA+9KZJ#-Mi!W-tJQ=vtp>!jQ`wqYM-skINtB= zo@RB^ysmi1>~X}Ic3jg}S{$t{I6G=%@tQ-W=sh#G7FP_lFD;aN`CD4L1iy3W)ePYT zrI*JednfXQxksMdcfpb~8sv%E zD~R7`u4-uW7X{a!hjU4x{9~84?1MeKORszU;LiDff3SC_qg~o~tH5hkCoO9*X8i!@E2@jK4QEete=6Hqob- zT^qYkKGaJa5%OnK_nQxW_9X2Gpv_6hBgwY2qha|&y7KyZS!g!SCt1IT%Cx#0qP})P+{lw0O3wXYH+s zhMC|Ru5XBj=eze&@xoq)OuU49cy^r9*Sq5_&|2&l>bLe6bJ1 z+UFL^lS8=HM8nLH!6~@Xd~uBGD#pEJX?eYi75aDCUHzVqTp8Kjs{(up7X@@sL9`=& z68~TeN0VY)YyJ&iZ;pls9X({hvCrjY>R;NkHr@pP`!>AHSzaiAC!Katq5QvHn$^1` z8vd4VKTD^oeaVnT(eO53Pw&9|xNjTWd0d1tal6BhjZ<}?3+XpcyMNB_hr>2k#kN?C z7xtz}4;${Ndoyw&=r5PIrsmKP>Bd{OALGbq=>39ObS4_=D3oQ32}aFT*0=|PaVL6e zalve7KX%zVk2+qsRO2Ae_O>i(q8>Ea zgv^~24SV|RpXYuf5BnFm-^joIGbNYVPk9&nTwJ|@Ik8;qKdn}OV4h2xRcmKpflF(x zwMV?f=9c|=)-Hba@W8CjVPYu5d#7~{e|ubE!^;l`Ka+FtL%QJyU+i#YDSFu{-D6B=i1mk4SkQzgl?_izuE6LeiP&JHe2P)2s?}YLEc}(Mw0v}6)1-@Dv<$;LA|UZ|Jj@{5K4535c$cA&S>@XJegMK9tHUj7_D zEOYnR1p}uv*l4n|x9<2%y}fWUcD`)-0yKzx)A--%U>YQjCp+eOAG6D-FMoNb-$S00 zAJMk;A=|xli{r(C?Kx5&J2eXaDP*>s`_>Accke{%QE4?S_Pa>G9!T>T$EJQ&Gt01y2WqTv#7 z^^V-Pd;NR==3wP_o<6wxmvO%G1UG8|CX<9e*`WQ!i1*kxOV4Eic+{@?9f$udyQS@< zx6U|tqO%=~v7GTZ`8hg0b6m6Ce6`f(>$#k=CGiIF;0m!oY=$oj=F*IqPWQ@Y5S~1eVda(5Dw-2uWRgK4^ZH+Xcd7PTl*O+v1Vm4hAkG4H8|5J4KBVf$J z#aQqaR%FZ4f6i&o<91YjWBw19--KK2j!f7Ot1sx~Nc#Gm`a;f%zC!-Kc?^D3+|J9S z4LR_>FjgCF=$2^5?%o-dIR5BlrEu`aJRv-xeB-_VY1dVKz`mp*@(pe?i0Wm`4Z_*TBg`k;)~>P)T# zW$b-YT&IAXNn~>%Yc_UYWqu2DXtLkayYQztsc^Iz9BGa2d)p$W>8&=;?Y_U38cb<9 zX1YyqpO{}p>o*~siM$J7l--gZTe>eyW!q~j+fZ>*jjOj9+nx1x`UTkO;}SbvaZ+@4 zM64}hZ7+Ib@XW+6*A+0b$DdIL*xt%t?`-y$leUnwjXa%ndLPdrp4BMdM|h%A6#ZCr z`1=S?C!2(?=2^${AkR)7otq@CZ2Nu(S*x%(st~T_DuAjUU9@qGQQNE_dGN;zYFn|wgX;WMpFLBhEEb+7>jUH5dZnIjM>r{zok)DJegHidO&Rn@AjL%^e(u++U>^Q z?Z(eoA7ZQ%8S4diPJE!FaO^!Db7P!*DDfw9aDvaZwfoa%9}N&A5L_Yt65J)_I!qpT z{3iL>?nyhu8FJf6%5|78g&!Qpl^N5M#FaI^Ugou=STpndLDKT%4r?{|?CzXyk@H)u zo9O(O(J*I*5OW3eJ?TtQdb}j8fpN3BIv=xK^BB+9d7j~Uo`*P#3AmH^dlt_KYc0s->cGXU!Ow!0<}fzVSgZRj z8q?am(o?imSs9h_GtK7djfVbGO)Flh^l3_G-BD*-b~ZV=G%uD*k>6XQciBZwzE$+D z{Y@=yZ;9S@u4hW{jvlCc$JdQm$5-E0pS>uZQ-k+5-cJeMJ9s}ec%MsqVgCI1{aLk# z-!#bHg7*20pTDwG^xgrjqg$SP)afJTwVoJN1%qsO)kDvipYQSUk70XFu07Gc+JjHj z-jhLlCGr#}lbp1^DWi8ACp2Yn`F6w?dF_xVc~RF6@74}{QP+-mGp`-;Bx~y0;oaJS zAFQ3(QT2hG@!ubgpK>;)vHF{k>W_EpZ$hm<+3;ETz9a0f+4a}t#s_YN?-x?|_P9_V zl7-3qPl~EHesCuF+ zV>s@Js}n@nFbLzFo!FlQ}3v+Uz|I)fjk?& zqltS)>hHL)cz3tcnNz_FzMJ%ucuM+n;JV24s(uf4MY@;3=v`+u@414#f8atgTJQ5E zuP4TPx(4AP!Tupt=-SgKorrGWjIjMK>-?;Al5|SC?rL9`{G{&WT3z8J zv47PEZTNDsZ*ckZ_s?`_rI$1TO_Lzf=Uo?vKT3w|AIUaT)r_QP@63(5N( z;7Zy>*0TrGWVhPo_kC@zoz=5PZ8Aq{b1%B*9JR@OvCdOfn^x}HMLlPdF1k$GLzgtP zx6rkR%(M2G?+&#GeszaQ(%v5}>X}8l^mGCX=WGU`1A_F*V_7iS`KAFKo6>uq7)A7tKSJKCNb{!0IAtw(8o|DE4+<1aX}grMdHLe)pRc%b8uup0XZRM}MYCdP24_Y3fuq76 zTH3cYh4pTq4z`c+f%3Mp2HD=iniPLogDO|9;x~O;I(TEBiS2>0waWR}`NWB|55|`_ z9`HVg)-&&lde{RqWVC^;R2x;!qmyI$-#ZH%K;;UBo=x!6y-vKi2jH`F)gSaNUiJMg%;>M*@j^J}g5R%vRcv$KjYqmAznjr*j)%Kv3~laWEf*d({&jrp_t1KNPIy>6 z4J}IU`l-=}i$y7-p-7F%Pwv*Urv`5FiNub88O^VgNfLmTmX1ii%N zn<-x@Ha}Flv-4x67w`Oz)#-+p(EY0Oi5&lfMa-sW8n}ZkD z?^QP+6S=}!-rcR(i~amotXXm8ua=3!X^&fa?9imf&VJ0x4Ia&ToA|Z1->;eRwihTT zSe$_JmAD8p=B3d!J3;I(#5p-bf zxpdKV0h#e1lL{LSpi|;9QCvneqd9C^r#m0)T%W~1F62xDwyfv|`r|x4^b1c)Ms4@@ z7wNKrkRKM)R5{VD-bIuCU3(RxW@5t1pXC0c8|?i=_xEJ?ce?xA=Kjuhf6*T*FF5S) z3io$a{MX<>uUOvN81IIgfc`y>&4(y7mBnXvCk{5Z^zvK5kH%1!{59vm z@BG#N9^t-TA1=qAaW?gi`ui;hur0>2trh2-%)InN0|VF||MRQ#RRk{0F@L3FydAmP z?IkKwz8;3)3~NTLR{N`@U*%io>Dh-(r(s{PC%C3(d5_P0FBI)~JDE7W*~um1vXi`Q z*})tkyS?p_=u8Lm$5f{~(5?K29~*S*-L7rXLkE6@ap85YE!AJ;;!-aICa3LLDjOCr~ zn^OPBk|#Ve52m9F?8}lq{%iU;0PT7h4NtBeuk-QA%YO>oX z%zOLd6XJQC)>&RZKA!7-VA{mk{^2X&gZ;AT1>{m{zLCFvoR2s?ZSa9JKTg4zjFI%L zG2X=()3E>0&0{8=N$x{CUY}+4Sz5EE&(n?9*;(ZR8)B{Gk>E(fB7J6cq3;j}!rg`c zMYKNP=1H{58W&f3uDg^tv*9U#Z>^{KOguS$Jj3y|jbRLatix5RY+&E4ZEth5AU;c# zOY9rR<72i7j~g8Zc8#YKjZbTA4)zB8e>?a%;`fDP!_a>e;%wswVmYHeVT zvjyP2f}598-n@M`V^uj1Z% zU*_KZTxZ76j#AfOCjAMI9*(YGrn1Hp8M@x_s@L`Fovznen#0lcI#XkNNtuHIA4hX~ zTz2@g=(CNoUAm=rYqo;d>21_EK5+bOduszCGjvtu^~>r!Oz+tR6hp z>B~zxt3Tqm^y#sGNz9qChw{^G9LDW+NS&?>WJ-gsB+v6m^NHC0(v`rfz7kytT%o)R zb>+8zCtFu$^8AT0ZPw|U*-p;9)cH<%x+YcbaCJ>494E(c92d%-ju?&(VjrQtyC}4& zT$$!ciLaci=k~{P*7$h9@uJC%mYBEOiLp8wv9;ZTi`;f2Ss6{aC4B%ji@0(kWE zTxTn!aFo~zq$hLyQa8uo`wy67gTdKK>PNPM!Kt~DEM<) zee6MW)C?XEV7nPj@tggcaYX!pGimb-C#SV^ioJmW9qL!rw9jWJos3E{D}eN(3vkr8*Hv5?}V30 zX&*4qMaBAi=d@SGe6NZ4URiP!UBR9FHa;&$+udG#_EDJZWxYJ64X;lq@8>(AOX)e` zWHPq8vn7l!rHe?HE&}$J=3^XPQs(JqN0%;7{TN+Rr(G~P!FjqrVEe zJCF4$Y`~A+NIzM6SiY~V%f|g5mL67}US6utH_&Ijy%6}w8FQrj zgKVBA>~d zx3G(zbh5#G0rJ$B<_r7EXt(%O$31r*43*Eyr{3R1517<2hS4gMDh#`!=)RZDVn|?WK#?AFdfn)+4n3z?xaI9%1MB*}u0$ zXUjO#-+i^Mw{Si&{*6u7TXeq}XK&ZZ*d~-|=6BKk#xLmIaS}XFyZ(NF;z`y|+79hS zHt?x5czlJ~H$Gme_pM!TwpfFg39HSvn$fpO<-6nZcGiDEWM}<%evv(K3*dE~BfDgF z!=5;6vlzGeNMdWP054av<`=K^aJF*D_HsI2l24>K+hXQoV{z=V{tSoVTVrtjRqlz( ztc}vwTZRVjS(n5#Bc0=DXN`$iTxP!ZZz`WSWoAD6b}gUyrR6*L#VaxFE}t>P^_i=J zV#x76Osji)ygzcen+Ff`^NxPAaDpyO&d()yar;m6%14|h6g}&C1%0WWd;srz=)LZY z{Yrl>)TN*0&e)S~e6bRJ3|=eu@YmmY&+n}}uB@Y*UPm`mQscXKjPb4Z=L6Lyc(r}6 z&_%NE6&$oT$FSJG7|K1&{BC95A7b9w8+#+N?9z_8r$5mC=D6IC$H%npar|Lt7km{y zc#b@elh3*Ic3YR5(YG(i`*50Y+Y0|t~xgVj_$k;GTI{!t@XN6OO4(%-v!5eb$N={J39PAFxE64 zHoH9IS@Dkc5NGvGEIj1*Nu$hl#M<#g%v)GK@lzRt#`wNbV7imMEEr12%F4MB558t%W! z?YsEKrX)6>(jCy7^nlqqv*MVt@eF#vx0lFp=)55febA7WRSvz7Svz+)h z(H9+uE&@kcw9b0J(=S&JjYF5}{H}D1WQ55FH(uYL-9y72B~MHD zPy4CyJZvmB)?s}+S&NLoqxOIeKnGdlT5u6IWUFkMls;yiuQ9E&F-`I%UDxnmk1vhw zRtKwOAN+3P^>Y0kpYG?hv_f`owDyH$y}Cx@zKqr))AbY!Os8qy zJ)QZw8PieyoEv{l3+bYB_)D*6?pfDtXoI=Wr5Wt3&*#;HcYev4 zdoRb*I_qb4S3u1cOv{uPQu#+Z$N!@G8FQrh=-n}uvs+hS4@GM)D!F|Vve)NJC*NOp zW~sOPWcG(5r@G&4dp67_hDVd}INsZC{b4gN?F3&TO~trZ+8J*oR&zFctIn>?ZAd?M zw^hLZx#eWvQqKDT3I78_ULD!WHjXrZLL=Ig-eC6`fX!JX^ zo_@!R4%yG)=iKuLADbSPet&*pPCe*Xyt5pfdfepN1E=NaV$#({<+OU5o8)ahXmBfZ z*U=IC#(qA%ZGMJmY81W8InTQMBju43RDTq@_qYscG|G@c-oNuQ)z0^O9VfoQC&=TQ zpD5O!!Kb=YDlO~s`Z3;|3l51(RX)hxch9f%JNUtMWjiyR!7txc-!Ar@p6nDSpEO>bJ@)U0cYH*9 z5AfmN%`TDt2y|M)JLt2!!I7u`MCLjF>-~nmd>Q^nsr)0Q&zoG|30(=s?#5Vz(FJx@ zTDJOec)RLDj_>khq?f;*54~KyK;y`u(X=jk%FE7Ccq*jLJf3)kjXTyGg7v8j^bNK~ zyTR-CyzxlppX_j$WoKdB*U68x4n8iGf28wwD3tS~#FECGKWFbkZ)PXvjn~g#LZ?nQ z{}XUz;V(UZa}Q(wjBk!Y)|7!kx*!ev0piP^PPO08%MF#gn0b%)0H)*%{JzEER`Z&x zmnP@vCDKhV5mU7}9Yx37LqGBx$MPZXqFipg!1;a2`iuNfe9hdr(5e`|x6|fm`tSMx z2m1ow-rw<<@UfFuSEkwUVAuBgZBS?*s{C zbe&FS|D~M|VNJ@%-lhqr3|Z;#_+THL@sjt6bdJZ%`O1XPo{~E^?AP??+vNMldk$yV zIfacouHhS_m+;+#H?sF}d~!F%LWqsManYY~=fvYwcq0w?=PWjPaKClt^CTBVDeqo_ z{_iB1xNs5=2cLclu#a(S>`D&n`MS^ZJL^1p|CDHWU~)99bsVivw%YAy(7bEyg8PKOB!1FbPis-%rifnLn)vYSc_Mw!f~beH&voCKi0!=A zKJ7VCeS?j4tMpx9m12Zl%e|4@Dc?Uij_vT1);KCwQ+4@50e& zXE_w_vNfYXF4>w9YbL~hk~JgXHawK(y0yItwY9y!;aMC{y8Ns*SPM}+V^_Xx$K#xtf#w>9xdIirFr=l^Kfh5IT>~Jtq!g8 z4|dhoLM^7|V{vtIptbJ|+Su3~`-1Ezz1(o(e8aDM8Oz-o(mRQsb?0QJt1e|ZM|Md5 z>AgXHyIX{`=aV*6j{8O$>~iMI+KKz9^;v(vPaG?1?Ssx0pXd9FG2g8@Hip^g>3pZ> z&W8_#Pv>X(H4fFoH;eCtI3N7DyGnHSO3iT_@r}m=>A9^=BqJ8bJtDKF0 z=gRJMv?QA&Y5VM2+rquhxkHOp=s5OS&W(K*OM_RvU6|lscbTZX?Duo?{F&CiC)B6P zL1QXscM!RE?+2vY@$aD@zJRc8JotRd*JL$R^J|>th>wSio(!Q<1cR|}hKXvvf?f&`su?_0W_&$9*nQgFF zA}NQz`)Rc?L2@saLrI?byXeONh9nRF|08+z8gx+YE-b!_xQl&T)q#2JIYG|q{HE~2 zJ^}limbt7&l@|)v^I~4~wzS@LwxlB^Yo+^D=QPzp$7mnM;JkX-s{Mr(#v3vA66Z@Q zoG)3%`4WG}__dA}tjvkoWi~lExl`Zap+D&`-=^?r`dxicUp%b$5z2`N`_JW`fucW4 zU&BYgvxUaO$MmDXht8vqhL3)1i5Px(U3QAWo&z)IWsoQKEwDYzpT2#)PdFvMS6Y0T z@tkzK-lKE)HV%IaPr2{yI9yoXl2jh^Wq4D)#pDSF@TU6*Ms~Pwy{K>KW}uaCVok($ zoPh0Egx6aGABf*2VohHEuGSnuZ;ONjm$%*dlKsVaPp@C&D4{D=_H@nD#5m9EQJ*J! zh<&ER*p2Z$q#55#NY~N+V$)6ZZ+p@f+joiMZxsnQPS!-{G!Lt7(U9THr!OHLSdF$8 zHxFlivMrGYoA-VHz>iU)1m%Oq{O~vZqJW0>}%3xUtc>sazD0r zGB3TZotX|d>ficv_WXw(kI6=yD)_K<#m`yxH@MOF;bVJP-*y6TvZ3`|xg`%b+R(9I z)av}AmH0)0ot%M3oyGDtu)&eKYe9RTRvrZoFLiaoao^M&+eo?NbvC=~4S(+l^c%0q zyZvi+uN5>TTgLCz_IDnLhDwu=i{PexI(#d6)!bSAEceHO!|JE`E1YW&oY5?4&G6vh z#7JvpU$QiC%Y7mEW87!?h0mUX{ElN56ZP%9=+(ZS*;1}QgOz&lrhVT~`$pAw8um%_ zo4^R|v`?zR_y-Qg+xV+Ka($hQIrRF*?}HnefQ+L3(R`oF-25=^x-)a5@x|*L{ONJY z9~FMz3+&jgHeW_l4tII;ZS%~W8%~+C)#Gb(;BjfPojFAATD!a_d-JRh#;W?JrzB@7 zt2@Qs6vJY6bXd;%n!sGT{e6jTOO`xhH+)eVCm-ZZ}92EH^$es4^k4AD4`R1RyLd9=fwnmP|#{@1PW zwzGTEbg6iP#>w3THTj9}VDO@U>v=5jy>rGYy_`3`-#&`*X|M5EnPDRysj;MDBb#J(t$2vhT(k@7qTiugOo* zEj$jtn7kIunqzzs-Hq_kpAKiq&#~uL9oKSw+^&Y@`T~BbPqy$_^!-KQg1Bl0yDlxSOuwiP z^4f`;=Hj7CvBA>T;bP-GH@d6pbKTlU4nAhZ`0)G7E3Le0(PZri^p< zI>Ww^`)l@nsb+_+ce?T>i>1Z)+wA#H)Wdr%uI1u(*HNb7ew*1fJ9@Qi>&=v_%tDTz zqq`VZ41H=YI6MuV>eINJ;(n#gBJH%AeL#Mq!&f_-{B^F+5_eSieW-RewCkF_z0}=D zodP!DDcIKib7*f)(4Kxn7Z??0KMvA=`=nT}V#^sk*bsK^puMRnd9N%WZ$VtHnX`5! z-OYm@H~6K;=B+DFM{dRM&<16jWlM(l@~Av}+G(zRh-RGdSYkvm^U!c)Bx6?r&M;V@1@pdsB#+ z$)_+Jwz=Qn=psMI(7|zTjwLS&-^U)g?|R$cVfBPp=&r=K^zfa^%luv3vEQ_IU9CSm z7a6e@Dcz#F&C$-?&Bs;Zds2YI?#d+n?sGrByW^U_KDc%HlLwnCKTPt?P9T5HN8Y#l zn?LJ4*m3pWAH4g=wfrX6t{<1#%Bit6N8jCj_e)%#j8k#T+;RE39!CLwgzxpDL2&Em zB*CL-M|C^g-$m~4;`ncYGaSk9?W0q|l>H78E9W#+NzDkk)=|_LryPU}5^-dl)#w&tzaoxf9 zqS2XyYGaIZ^rN2NLpFzcTQHy#ZGBR_ZnAH3z3eO9?({KZ$UO6ouQzw)nsoYkJ<>0*beo-6}ey%p=fXDTtR z+f~%}X9+cDDx>&)`pn@kepxFg9thi1d9`Kd08dZjDfAa=_ky;Mi=IYyi;l6QT8H=! z06r*d&FJR6vK5eT77HSNFIpFEnaoSgx$fBO(O4x9gZqu_J!NO9?4PLYJb1@_qf@_2 z*h#FJUT(4ryCm5s!|xKZIPtx(q148^;{KrjTD*t;%7cnCWX!4Rtfmg%BPS+JypcHP zsUsuzBVWpc>L2^}E*Hlfq3jB^@A`)B4KCHyy*j!(;r=hw>?y(E;p?3l!zVprW1)S) zpWF|kzNA}RTw7x|n3;E-C7+0$lB|JA$C1CQAt1AA}$0 z<}J~#iHy^~@3}7O*?U>kvw%GmmNt#Eqq7RT_W#(G!Cv1ptI#vx--Rn+;EvGpKJwPf z-sjtrz#`eV(8kDb;a6)HNk8E3l|PExRQ>(X&?aEnLSOr6zetSPx1+k&&iS-6F+!H} zEs%gVnVaXXb#rq%JOE#ohwljP$wX$+maR1?KD8HqH(N(?8XlK_kQc9N17^{U<|J9O z;yss+;0?CS#BtBmTma`ir8ep!6WV>Bu8d!g(;a`3JIX(zxK!FF4EQY1pIHl>M=JNO z*Vvfr#7E?}$w~M>)HSP}zSCZ?OrJ8R{Oeu&+!<)?ZSw1L)8f0wUhDHEo59^f$ik2( zI>4{s@I0CLuvulnwaVTVtWTVw_G#P8+0ZYLZp7yn&6v#=`cu01io0tQKKNVlf044q zfDiN=-NAONnD;&IGGJ?Oqb@iw+`9aP@3CR)^;{soyCuITaR$5gjrFm0Juqorc7sOYEyV*HqMKh8e6~E^d-(5a|(zr|c@2G92lJ7tkd6Volz!gi`(_}J-&s%bXtKl ze^$!dE0TXoPnR7>njcsD10UJF{>Ci_mwn@zgY7?wzg@5IUvDh(9VLhB^qBrOZ%lW_ zbbuZ*JbOG?ea`%P9C>)sye=C0rqk`2Wz;_BJh%Gx`3|~ob5jmX*kv|1zCDjalPy<7 z$RqBIg*MiBTjz?n4}-WeIOx@OFrFb zsfK&i(X%FRe6vNbsqgDSi!1WVcVw5p#L6=+;x?k6((P+3u9BWh#f|L_Q@5UMd$Giu z!0qWp@Sc;?zo+|6eh!^1v~_gx>KOfNPfNQ05_|S$Cv-y_0c=s{D!U(Fao}`4Vtlr@ ztN%3Sq8oXf#e*6ABc3{(vy}QKoAych?~mEM!_y(2gsX#!86L*iU+Kqyf1tBH4>M2V zA%Cu?qs^U>QCmToB!Bk0_{`8*;_p+F@rFDhx>syOaOoRl!tFQQTm+_C~vQc19bP1?krilQ()sp7=Qicg$}#-UK6S ze@0i8GqH2UKu%xs8Th~svg8Mr9;r!d!eJS4a&vV9yF|BQ89=0$aH!v6bN%!SP8~1?cWjF4d-MF)0FEw>4Zff+M z)uy*cJZxVFhOBa4#@EgF)Y^Q%Uh~afwPd~*XV3Q|N76q2rl+TcYJW=5{yEw0Zy2Nf zO->dVy|PB(+doz96Yuo!N60xpzxp25VdDhf*ta=BZ7P1}d0=Ta%x@d5{n<4h(|0CH z9q<{xx9_8cJ}UCHo|<`2p((q4eGe-a{OktN54VGxN5%Z_~mD zug>WsTIB3}^sARCitS~=6D@8mtMw2+)}P$%fL!!b3dD&JaD%-`CLaY8DaR z$b#*6d4^C9$73MAlIK32_v46sif1Oq*gBqmo`q~sdJPWOPx-rn=SqIRpXV{2r+Ku0 zxM6<{^yl|(RqiE-1|rhG-dlVoN3=dnk59{X>3#9#VLEYN&G*|WN%DfAsB?^P~h zy-EEvY`)*nU(|Um-}gPP z?{|;Uce`6ZRQp+YUE}+9c&O`-wKvn<=~#k;)5i>=!rML*;fMj$3dSSbEpyz+GoSA5_K5X6)z|at(QtqbmZmLldwAMvr@rVV9T(8JL<_#}a9nYW zp`Lb<7(+0B9^NA@FZ$EiM$D(orY(5H?3Rj)gZ`Ydex7|CS?_gs&S5{x?oQJ2i%QXZ zX6Rgk`jai)d+W5bdT;&bv;6vpej~$@^#zZ&e-don#MAg*>ME}zRhI7`ZH1oFaZ|0= zDi+}9d^2T3TeR4W94p2$OguTBb@yrRPUI&>!GmC{`7qhIDi!N}7>!>(%;sN>+;3yh zonn3rnY@rsgSRrKEE*C2>#Q00SljRYfV0sD&VO0%*I$%ItYuyJ&NpSZh40uQ*M{%d zJ=zsbh({%m&;7oB~eWNV)hiY=ucunbMztqx28@6Z4(bOv1kX~Qu=Nde<1+qG8 z+~Re?McdHHbNQ{dGF^y)L@m^_$FX22F^UHO5oM==ZR3*_wk((hZlb;PME0>u12{$28C5 zax~sr8uz8xO0Mih*Bthkrsa%@bQ=@vk%vnkJDt4P25h1Sz5^HYWXi`siE(NTQ)`(W z`1$SduKIdxv@yxAPua$~GH^o9m`JxVO*rx~-2-d`7uUxlvhXimYBmwy#_V-*s>7-m z*vIdnFE3ZpHo_X0XEuUj5P5oxeRNlk(#{o!+YbBiE}*O*(@wu18Xc)v95(Gj;dJNB zcrAX3mCe^<-cKyG#pQKw(~mWGK3Ox*w1G*t`7AP@7e+kDD{QrI`#7`S;e|w>Ip5UI zcaxW8^LAhZrq}-oO(ZETgdQVCkcQ zQyJJoJ~rncpXcA#1^JhkXoQ%`eLU9_Px*mjD%73nV z_p}_k(X}O<`WQ$S9EyQh8R9@X`z(1S9O$<%?`<{RYoPuc(oLpv2J4*5>h?(ZzSD6H zUq7Tj#eLPck8ALa>fyZjK~{am1AMxNH;f;o^NzH<=+AgDBi3@LEsnMLKGNgz=^id0 zYpJK_*KHly(ReR`&dtIj?3w1T)(hZWVyx`pbbH{m=9Q8UiaoT7?&e8W274)a*P25X zt*Vapk892b=cV=+FQv~3^eLMla_3*Q2GBx#z|mfa<@{K8EbN)X9#qD&Ph-)TG!Dn} z);?`DoKYx1pTHdHZ_ZfH${QM(}Pu}Ur>lhB1dZ;uly}Lm z4sa3L;uTk?MRmw8v6ena*$(7&^nKR-7^{s*c}=N2H{Qd+CwnCA4zEmn=HN?fCz-S{ z3cfmy0$-;d1-?*?I;S1q)m4YHjze}gMgzV&4rSu0TRNeMJ#{smu$k|hpbM(|@a;?= zK!>C0*u}t-DerT5NILcmjhXx`9V>d5ZruLKXoJ>FjJ762KlqlSoew$xN@cVLBz`q`pt{xP>2{bGppz7krM8kJdY%MR)dz zXVQ8!v|Bd1c1mvFsp3|e3&|Gm!+m8_?A!P?Qh3kcl?)l%EdE^PF+I!uB-8u+A8SN7{vGvor%sa6Yr8Q58zZ?F-zw4|x`(WqF z_M}2{Q$A_f zQL!##-=lQKY z5A7cxpG&KUZutt|b1ESBqMniNmR%*jDW-m*mH9yqYL2*zqq>Z5 zoWUnLf7fVF5Hnc~Ed8@MXHnqn{l-N-Zv#%cfm%Jr`-^t7#8 zcd5#E9^=m2lV))CF6y~Qa5}lg7)+lZAaCY0y6bp_i*BK=zLw&Kd~A^S6R<(3`O+1nKOP2wqZSRPMb&iFF* zC33rixeMibuaoQNs}A(-X~?H9v9{uGc0J{7-+WtlO_W-!}dlbc=;z{X> z#O4-X@(nA^)pOv%?p$jq!~CVv#5)OWjxTj@fpsIhe%oQ3JNba&oVCeR zyutQ(`#n2YhXE^C}#*&MlM)jhO!tmU+RIF}X`!_1{ie z;mvSI-BL$Rn;k)$L7BQXNw+pB>)W(;fm`~)>AuTQNG!&Hc`FxA1>f5q-L)cC+ z3h)1`wy7O#+OS;GPD|X5cnaBV_L|mK<#Ty{ddSgSQooz^6Q|FTZ>-Y4t;u>_sPE`f zW;%TfPM@bfD$t+#bedD)dUj+!WBbQn8^1T`p87k5^3IuV56+o>>3K&B8Ft~Q=S*|x zOz}VDTC9H=tHqfd4*WUO`{}cuuMY2=Y1+4z?b<1viH47W7dV?|ak29rY_w(MGnlOq z_yi$eo#EH1u|quX^!s=a^l!YMG43ZA^Tw1-C4bcDJMb0uG3UMwPw%2Ze^ym?(D@Dc z3*v9x^=F{P&uP5L4m#4gRUOT(wU-(n^5dRT2fCPfm+kK5aX+$@Z=2iw+I8PJ$7k9L z@5vXpc%tG7IdHy0ea84nVyoT;^nCZIlS|T9g0n4#(|F`zH#f9zc4G&yAHaW`2u=Dm z*bZP1_2Fv83us6FZ|-=dH)yj1y0aL9#=eo`XEusto5f!xzfycy znHQBUJ|evo#*cW%_DN(<9S*2t@e$&=s`Fuw0~g=5bFgELpEf2je(Z1a|D_|nEVKF6 z_-QX5KYl;uMa%3*D<^kU7HfBUHpI>}W*0k4XaHNQVf^PtW%>SbjAZCc;}`m{*ja`Q zQfz20^XnCm)VpVq)fvYp%vR3&fG-Wzt&D%)cXtp-#!c9idNEX6gq0_ zV1;K^U88xob`)O~y#TM_?OgDNEs<#h20oqq1d|UbI*}~AnQ?nRZu7^YUA#BQoaogXJ(!F)0J!Th)hk$9-3GROIG^O>_b(3EsnbL_|6@tpJH=F8T>-lfdo z9PsGws1~ir4)XWGNPbPFP6fMNb7+1Xf7|Crv2L3i|6Py2CfiZIo$g7He>VWXsO|uC z55GJl-%xF|PmiiCYLnklTSN>5I?`Uz@NPlyCV6XlZH;;6-?@6;FZ5;od>ieZX6MBh z+HdtoKU0#vJFCa@yUu3>U*CoAooHDgZmi00m6 zb>s;*-}yASh~*J}2;~c%WpH8p>2^B1y>SgL(7{Jw+h)NcThnOtFl<@TY_9%>4nw&t z`L40zLnXHC4WDswG|5hA&vYiVS9d=&bM(*wY&-B{wwWuJ*mls5=F{dh-46Ko<=8)4 z{WG;A`U}eW{8nf$w;krtmy23DtAC<)n48RYT1K%o9Zu?OO^rvkrsKK9)+F8Alg6*I zH7WBx`WBo%ug=y~`?58mSL3ZuI9u}*={U!c+nOiSZMG3on)WUcc8NpTT}F- zyPH&z_iMH_Q+U(d*4dh=@tN&07u^BxwCCBHp}pm7470VwvnjnP`^sof z_Eq3RRJ?ta1s`?H7Df)3zLRa_aA)vQXAt}ue3TX5>+GV?MxPkRN6h}CP6K?{p)aF8 zx~LvL-i3p-?dtJocV0~l?s?&NiT$mQI$PP>xD(YjdDa%VHrtr7c-vTV;BahO-G^y+ zpEHKUo&!J9ohIWl@NRZp7T%es%yEHB@eFZJ!$o4-%dS-&!OvVw4B*G!uhStmZrV}Y z$je@{ZNvFPU({^dIBt}TL-a@=UY3{833X-Nm^1C+tk|AA2Qv`ti&#DD!@DbQ?>$)h z#n%q*{K=4g(-j+NxIR7p)~oH2APyngg~oGj!#`xax$(dZ8u#|3$5ALByiI5N1OMWY zfTmP$rErUVXL`i%n{~DoK1<>=X-p=Q;<7E$H-5g@zj(QmS7yt(dM)y`G-l;#e+F`D zSl?zDbTC+&_D+!YuuI!%-&bqx6TJ!Mu%8!P8MF07E7-Pm@g2c5Kc=B?dq1BvD^Gf% zBWl_Isrvh=y#1%U1q5fhPxhG&v!TQEQ)xrHS@jT75ia z?DaBRdz}(h_hXyq`4g`d?24@fey83o9+E>dXHrKrgT47BKY!j1muwP!$fvhH;iU$; z!ro#Ihh)d<4%;I4lC@OKU$F1c*qV#vK5LuSK5LZb2RlAb>>|l#;cTi~w*{v7H!*(Y z33on^`Sf|dP0@kYPZfhZD%?6hO}<)Zy1jLXZ-Nlp%!e3*rtnH0+zucOzyInx~(=GVh} zn~`6Vaa&mD(6@s2&5C+{seK5<5$vu2=G@n}^G@{na^aHp!Am?pXH%B^QCY zn031c@lp7DX@UD@Kk&n7!yfF5xLjm^OOzix8(W96(tj3{r2ltNR_zSZX8Uy7=C}E| z)49`Dzq`k{JF+-#SO3{jb>Nmr_r_KC&cl|NgKRo2sy;i5zRw1Z*7&bK_gO)9$P0vH+kE62AidSxldBo3y-UnGH?GT<=6Y+R#pMgzEoe!!G z`G$vEYIyMa&}8y#+5i^We)f*u>L!K^&}&bmutrn|4e`VuWuzoS5Z!5zDH z{t7-TrSFS?Z%ew{2HKh=c#(TLAH_PRo&8kbC7;edzc5|=phxGb1RuO&?H3%K)?jtE z2W?HDY%Sf{Dx~|iteqxszj+_LjG=Dze{Q9h;kG)os2p ziD?Rt+|eMvQs-x*v*K@6**;6oH;OjQ#?31SZgdV(& z)4$>$#qXdC)$9Lb#qZo*s5!D?OBZLJ`5xbcUC0aWl967hK;L=#VF~SK>EA*6&Z1Gt z7s(3U;k(-3X-L^-__kO69ejH%d|Og%jk|y)>)Ks;f4<4?|5f`rvPk>LT#T`AGyP~! z?3ONM5#J({Ec!?GHH{{V%x|K7@sR2Mlq?y?`&*t(`|S1i%=W|k1Fgsk(FXKAnr~-& zmE>atHVk|f+YDKJJ}*AUS()JYT)v%y(fAx0St*j&K^xFqyKE8a7!AyW26i-lpNW0X zWrI`jP6HOL891KOJNkQ}>MxV;OIvOHR`~|GMV|RBS>pkgESgYzCI`qjxs@Id_Lg86 zWW460;q`fO7qxE%b!MG$ZF^_>G7sROP?k_Cff4r2;`MMA>3?RTza8)t`q;i`ujVn zEB!Hv7_ysl_L0Q46L!i@2eWM4WsC>fGPt$3&*#}bzow{1a*<;Z$li5)x6R>%ITn7( zT8nV~RQx_3n;XUh&Oh>ZE@tY=lx7##Zg+l=Wb8851KPp8aF(<)Ir95i?(=gGKRib) z_HvawRX9WUjO~lZSi-5KG;2d zX#X_qRcP&p(AgleMe}a@JBTYL{&Nnj^MTdu0pLvg#zsrbxAvT|SF>;ENq7$YRTx{Z zTkBfpc*f2gkS<%x)}LgL>K$85XHPXp_KrO@=;qAckxkymw)d8pKa%n%^3M4EyKGqD zRXk9Szu*i-5clex(#bjCR_^SI{U_N(4;E+ieGVV$**Sdg7{3|4QRb}D@R8!~^s#Wq zd`ON6cUy%!={|6o#@$J32iwMUB6z~TjDI)r8^6oaV|^6s%}KzFPipBcg5Ui#xG}26f_pZkMhmuA9OwazKkUedq z@sHCrUiSRt+xfD`_RToiBi-s{g=9~i?7+v$mL0*`V$L`vH}E%(N=|5ROs@# zV7Cfiq%|*%)1C~{?!F;T`#aLK=Re#VIa<53_cXRUGf4C8P9v?Z-B34oV{>75h2KEd zc{|QH+^?}jz`UuO`yH_z_F~`d!%kYZt#$`ssi&~^q1swm8U8Z+ewV)SF%g;{=g!W= z^lpBfUndYxfUC0nRh89m=d<7oIzNFj!*>MwE$|gK0{Z|o4($4VsLsfgKb?YG-!}&C zGH{nSYzJ=2Am?Z^@DH=vWDeEd-C6B1murNBBW&vra@yK=gm8uPV&emz3T+(Dn3#_r z`#JS>$A2wVH=t+Tr2~%3^2d_8J685lm%X~3)tOc|n`ZxCTQ@yc#`&^Q#wk0%<3{U~ zH>b)D-|gG4>P%xk_na(^?lz^$H_4&Sle&iACtJWH9pysLKP=Ur!g$8CmkNps=* z-^BcVECpj&Ha(v29YNXWQf1TQIzE7Xv_4;F<+AB24c{%PvgtmX;MF`_-k$?c8ee~x z>SHw6_Z>mm>JgMZ>+2dv4JYYwo@n`vbDzf7+s0_8Bf!^a<9z!V?c5x|lZN${AaArj zwxs$9%cke(d!v+1 zW5FMPBE$*)@e|Rum(6(mZ&Tw4aFC{haZl!#P1Dz;G0F~P=#3v9MV)s&m4YdxC2#XE z4>~K8j6ax*edw!yOV39N2O+HSo|?|;{J$TiUr&$eeq&pJZ+~GM(r>4=kwXWvHM?5* zo>M*Co4Z!_ss78JR{ufW0A|gF?2u%R3M^Ueyody5k@6 z`^l^GsiUaV{hd@l;oO6RP2J!Rn|E)HT-e;bvTw!C!;}qS+q5fNTDE^Xc8RyYWurG^ zGj`wybQI*nHsAQXThk(zQAP&zafYYod)PDZqipLZ6uTjwO!;a^_y{& zu=(wsa<<-q4Zpu(pUvpB!2H(nzid+VFB$N~H15N((m(R-acJ>zogE2jYGe1x$5nq* z*UHD+_^Wf>pZw<(U55Ts(AMT+>*HH?%y^u&r6*WhdSa}$@u?m^k3P2SxaRTe_`7df z=M(Se@BXQsPkhexef$s9caHx<-{$|M#^7c0&Hs{uJB0(qGl8*AuPDZdJQ&`bt{cYN z#K*xWdib?Ic&gm#(^LxAO`=!HL^Jji)Z6lxlnl?$Z7?^aHVr{GsJfS}Ao%2Wb zu6>%)X~ZtvJN{Y_AM399+u}Xx0mktJK1v-uczwWlp0K$rc0M6||CNocW=GZOIX9nK zc=fd5@%wxlM=7|nLjb%g9p6tUzRwrMlB=ef0Db43z=xQHyHG}(=>iP}m z551%|0-c@ouQt5iUNuG=Ucd0I-h?j{5Ar$&ILe<)w~>}D8RP$Fs}qd>FzQTsAvK5T zI zJa+1i8GZOQwx8DT>DcM^(9gjS*~lK)0_Vv8dp|D&k*}P@%e(ZZ}Ve(n`BJjR{VzD-}fPCls;_@#O|Qtx9Y;r)o$Q1-wEDV+D7QK z&KC&y#q?c3JDx`OkHVK}eyODAC1_vtoWKtpck-R`JUY&U<>FE5SV~T52ovc^y*|hek5yc*n#*`7W>0b3;d~sr^KTV(jNFOCq9(-sXWhO zGuC{l(d|Xrc>+0?%eMpgPx7O_n;t{GZy58O^9^;6tmsB-pIR5~1?F%aT<_W+)zJ~# z9{y~F=TAEeiXRBy#`_}~Pnw5c32)f?>U{P#b$>QFudH=)tw(ELImX0Djst%GuFA6q#GeiG{;4}3_PDjzmdXcKpKtPjeNz_eVE>lx z1*zYE6!^C}_|)DO^m%ESsdHC} z%z;j{A6vH4gY)hW4>+@T{EwQ8O7lj+*Y1(TP$5~ul#l=~YxC*hi;X8u;h8g(S+=a~< z+t6k7a-D3D{Mpil?TP&?ob01L);0_$OMfytK0`!p`5vvp8r9RF>|7n}G{KzPE z()#VYqm)hSw<~{|(jg&F26L3`$qHn3*1YUPhFwFOHZOi2pjDI2HV*+^rf4S%SAUU) zZ%1t}axXlh@yK70F4=-CW-sl~=enm4Jv)tk$lCV~O;rM#BF6jJOzrg$Eook%rw5^@ z&lRs3`h53_p&zmr_yDvuSd4l&gI#TJimKZ*9%PxPvxKgYbHjH8`+SSRK2{G`S1WzA z_C1Jg#{TFs`=iV3kESi7vB!Me!qeD;#g*&@zNYV4_Tv1I_UTLg8r=yd$?)e5C!^~) z=a(n#%Py5)KKo~>`A*LPw3k0#8BZiO!D`t`Bu>(lkK@a1fReaQa(vz#o5U(L^>;i8GKogmEKn~AC*ST{6Eho7DjKLnnLVgXfZ~Je8y*~|mYR-|db#vz9 z$<03>gH~cYJee282TmEQPAuDMb)d^L({;MI!w(y(g1wa79ZFxaJ?w6cC)j7G-`m~a zZ@9nTbbp_6e|NdR|KR?9pS^@#{ysj=++Iv9@Iu5)?mDrDJJqV3 zCAPEN-X_x>S^W#5VcR39JlRbA?Z7s}MtJU9Zm(GXh3F=oqonLO?6((rq@(>>xAYsb zU>MzF=XmWrZ!5oN@yr44F2;FRG;C{C?{@pf-p!uM^XaQOw%v|9&fOJ3SZjBk*VTP*{c~JCFbq%!-4~Y!PJ5Tm zRefMLdq(wJ>if2GQ(ZaEm!|7kpC@M2(OF%!%{ki4I`iXuQaAa#CM#JkZF{n~s%Z)(HSoWJKo zXNT37zNykavBF*D@wZnsZqc^Yp^t$Doks8Do}g@LNoxe3YdlH%c9*`Lbm%cj|AtFP z4)jkA(!c4_ze&1a@a;e4(w`!oIZo1dx%6G6GqxoCA6)uB#ITNZyK~Oyfc{ow1Lw&S zxq;oGcas~kKd>bv8%l-fMNeCHW{$JxCKuo*?F%(|!f)YXfU)U(XCyr6o<#7FqzMN~ z0|!Z(#;-KSpQLH*N@MIvn#Qd(#+{^T%t~X-Nt(v1G{)=U5TDy``j^bG-;_g6+xK}y z7k+%iWGF)$PQDneDNVF_R!wHu+^QUR)ogM!YPu$a6kV7tgsoXY-uNc_r*gojGH^*WT;K zWd1MT6|BsQ?__Z2$LaH$p)JL$u|HQ}f3Cp(ylUtR#jE%p_*;esV_UEK3+}Kq`C@Hf zJyb%jppWAH!{^5R+~oSvSz7cI@&q_&bFgb&xpX@+hVr@}LU3)R?E|E@-+p@E;F;8C z4}^SLor&}56{SnQ(dQ50f4$qCH#V;38*g^~eS`iCHpZ^++v&TS%e1Eg9BD3;Hh5VK zgYe<&H3`nkTpyJEx%%K;_hfX$eN03j8=lkcXl%$0!>?~oX9&Xf^c($1nHsErM45l5 zp9Z{uFMZqX0B{N?!k=KB>-6QI;Pg0Rjt-m~mlIsM_+y@hYpcuM{9Bn<;kM)Uw<~@y zvBWo82PxBzEpNC@2Rr&hv z-QX25ZtnGQ4AI+#>x@>yHV?Qqjb@Y&9)u&cR|~pQc%7V7W&gTGzJ7 zm&-=57c?JGugIQ`!1zCEln8a7s*jI#W@>AJ7?m50my~*%&Be^G?3_)9V_`m(M;i;L9nLaXhQDy}qsVn07NJ z?M<(p&mOnyz*WGrvXhtr^Ku3AavAI67c(#T3H$I7_Tv{kdoHnsv!m*PGoxyv7cORQ zF65EiLPmu;VPpaC^LXa)oW?VYhqF&3(|DM}thq(DR1aLyS-qg(#(f!Z@!r9^$#m)? z=UiG1&){_}cTiY=*db-f(aLH31t$A@1%H(u=nyXtUhi$yi)j}*XZ@T>dH8U(yFd4I z$q-;0JTuOh9P={hMkg=qtd*lt8wX`=?yzZnJ^1z2nh(2onDz(h^T7Yj-rL97Rn_>CT~^NNIbbiTzthM+hy2hE<@J4*>Kjd^v!xdqll)anqmK9_*hXx{ ziNIRp3-#CQ`y;&q?W~?~deJ5~cIaa`MrQ^-HvB?Aed|~eE{W4fA6s4N>$TUl zdcU83M$hr>!6S?_gF$^tuLWF;NXG2lomG5J7@zR{2G>T6@1UPGR|xr`ty3J{#>@^; ze?Rp_1A`OWIBGVuHM1Lb-=1IvC(^w^ehkJKC*mi2&*23AvNO+szZosncfga;3%q?X z&-U@98eP-<;7aC_n8U{JZ({KsnkX%e84<|)54Dx_1VrgwR-c$rimqZd)Wy;k1vEV>6+f^3|T;{(ZtWMV1* zl95aNdn_ZDXbi2_P7UW@#WHdh<6sl|cI0A|=L-DRR!~3k=i1xNc9OndxB;j3eumSF`;ol^ zq?@g!o^&PmHC?+OdSvOotZ-tqq`cbD`I!a}y3Oe4(?glim*6oumriRie&J#iTB!Xx zIihT6BjCvJ6zS7fdpwz)+!N0CDn3!^<$R-JGWIXm_KZFI_MWk4-pP3Wfc|d;SAWdh zbw1~^%t^*tW+h|A8JyKKEg75Knv5McIT@Q$pdPmLS#0Su*wO=$Ej@fWwhNw_XpVKP z_Oz9Fmhjy+O?DJMEwr_dUX%>F`8d3JhS%HhuxNh2mpdD)_tC<<33(9y+Kr##U)i-_ z_k!=e1bU4Y#RvHI@IhZ88SI+l%8gzPZ=pL4ztU@0TYJ|A9~^&vZ1i=ToDUwg9dx|e zKjnM=3iOhWG@hny)4%j>yb!^wvgUUnv+^Ms6L!bL0=%un;A9`!~a@}Ao_m{lBq|K6Ifqp!)%g9Yl-_W<_SwUz1lXShkJDsUB+zd~>wBhw` z@IQoO#f_A1a|DxD=%R6nF5ofD(M)&N>Yu4LarkO?p!z(`$JTnU=k|SIB-joVgb0104g6HODeo$%D7C;f%MSXV+GsmEl16 zC*ANrQ{w>tz;d#O^}mXr?s!QPenLl>p9Map)5Oc@K+#38T)WoO(#~NfJ;44$@tM6l zKKqYAGmYo+Fiw|e=Uz!BeR^b{uMK|gG|?=`oA{2h(%Z(LJm>Kvf6i!J>&tjj=f{f1 zhHsxIo(yM;=`5rDJMct*qIlNZ**9p{&MX=a`5mJxqP!OhwAK!i(xh_>Sv{hr%z`O}Byjk7%6o4UmOw zA4*ORzN0b?R-y|iEQ zfQ(#dGSZgC96DKRkuO}r-i25iwmj4Kv2Sd=ZE}WOpCg<_u?P6e^3QSdB6zHC(odz2 z1N6~{TnZM}>N0;Jv*{jA<#nRdv$0}(f*p{oRA$@QGaI$>mxpJ+Qo2m`PQC_pv7a^H z{0z>u7(YCl__wW3jIbuLZ#FTEnZ%LiI@yb34m$q<{*eCRKXG=7a)w{oLU>0sye|0b zGwExt@JEcUox1G~FUx{`nO(~toeN$mD}7?^`Lbbch_P8)@tiYXC%|F!2d;n6*pC6; zXM#Th3;|xzFZlMa68}ga;XC*~#zv>RamD4lPhfd5oT~RT!GbN8U8k)v?Sm6u3|8MLeT1#A6b#2!<&Uy`z2=Lp0wytjla>ouAm|z_$0+{G#dD7S8t^CB4KM zq8bDIZFW*)HCdR|+AjYGo@^K1jRxekZTi@6o|m2g-5zD+K0Z&6J${mZ?PVGJ#9{W!cwUP8-0XcO!K5>e6Yd^Z9^s+ipRcI= z6NL}jdVsdz0qwUL6J6kSJ1fujMT%E%*l^IN*zzh z?>q+h6@QFjfLF)Vk6`WdxOZ^(jIo|L_EN^l80>zqcpL#nt)r`a2|ca0w2l;LcPy|A zR~HCw=?L)D4DY%Z;xIg7uv1R>i(&8gds1WApMDJ3iyn6P0DiT5r31W%bJ`Nl?My>I z4%w+r=Hme`3HEP0ZHdqCUFeD>XSo@V+k;f2!d$zL9YX6TO>3h#}1c)|Ms?KFg!bdwKsRGoa}beQb7r(+#& zJ>vJru=gA}+~oMF-P0UBHW1Fs`npDw9f>?^P}e%AR1KL637ftP-% zTKUH(tEInty4qrUM%WYbAo~Zj=RkV_*i)eW1cl?*EGV#F0sAP}ZQlX%oRv|Y_7xN; zi>)4Oq0A2Y-f>o?x-hg$`MR^q|2tr1Kg2P^O4(zBwYDEtXP4;Q3DKK7eE8Mw-X36o zgZ88=_O+vzZwI2g6tI!YaX|@1<|0UGYf&U4K4Q zn)FxIzL)&C+Sd~C3Ot~*_tkEpyJ!4E{|9^Avj*Pq`$NP_?D^UId;LS}(+8@R_dHfz zPkrq@x;>QD-jl#L-O2dt=u`WLL?fm5opIMt=NVtDcAl}PS}M7^N*|%!@V}4ea_KD# zN}sr8sK5Wd>iYBkrrKGk7{9J8tzA$&{w)j2C#}<&2jf5G_rB6K3(haSb;0?hsb1Xw z68hJe3e;IxTC+fHKgI9-(z*rx@A%lz-omzO=czw1JQNwnTde+D7O>WQ=wzPbKGyj@ z64Hm+A0u2?Uyr|csPi8NtCc@`q&o1+pBp}27x2N}8OfpWu79H?co7d++zfi&`rO|S zjlR;$4SCu-D0$}_Q_XXX4~QFV4Ry_akiG+X-hn)iBG0YJv&o%ryKWEl9^Et3wqtyA zOLi9Uw&DW2D`H^teEhZ52e8B(xzHUEkz6G3@iyI4p+0yk9LzQ_#Fceqs8t`^Z<+b=_vC{sE;v+EiWMTi9n=K>wb6w)ma%F6b+ymr0A? zweL^;ucCkLsS@vvp2J*Tec>|_!@pMR+ZP7ip7Z;nymtCjp2jVIe7C2YuW#d3+t$9Tx6$V5eq44Blb+8z5*K!t zvS21pc+vPJmm0I-!KZ8gt;SXd~5l+{Ad2t zC_YcuG)MPG+r7P$e}rtwhl=%s*~?;**~`%&7e(sJj>Ye~rwCbjxE61-`zU+jGTdAA zV6cU1V?OU;AG6-e*xb0hY%uw!x$*1HxIxxVwl0m{pXA-y6}}B5e<}Nv7Df3t@UHl> zbhz@r%)91K;r++Fo9>@d!-4IwPCm)K8{e2ZFn@RQFI?+Y*TWhAfSS@B=qZ%eR2!|WN3^E3N|Pb67X z+X>Gj$fNn#@&%B0rOR(>K}Sdj{RU^UoB!l}0Q1%5qpMt(vmKv`#*&a0+A#ekf0^>O zKNlM!n=RWPr^V%!Z)0Syv+&gI={3xIXhZ+(kv$}xr}EmLoX9tmk3!x)^HZ=F^sTnk zeksDgWLs^Q-gNJ87Yc6yCbi{YGapC#5q)X(JdcPURL=54Uc?LPr|w(A-soPuiTKmg zPyEH6al>7nXCDrFnmy@)`{w^b9zK<|xjcT3%AfFFL;fV)Xa^0p73ZVNo&VSNNAk%Q z;FH0xi^Z?_Qzt}snT2`AWaJ%v7`|hO@!z)P@u5c+SB_aW{|$P`*OcEUxi5SDDwvdB zSfTqiRv#Jxr=s=8Kao7~iKmh$7PJB@ezWAzeAO8VHs#9N`z-7+^)+uy=J;p)L2E}o z5FZ(8*jPWeHE&tu@Hs7-hN+u{9+A$bsIN8kRPnt6=LY@}&I2(TU+6AIj z-FFv)i*(Z?$hmA~Tt2qLc{?5K?Wa7y*`9m)6HRSQjML`Wz`4(0SYtZkT+Wft=2(&= zd}Eb2pS$GzsDMM=%_w|_|DaETJr6M4`CrK68-)YmKNmX)eO=I?uNTU1TGP`QV;b9c zM2uD6D+!1Cy+*JE`e7R%^n9r_-4z#fvGFEpK@b1rk)!M3hjMyYxYZoc#vbWFgG>H2 zaA~bt{4Tu~!)`vP_!bz-_~zleD~(~Q)wz;(kKTS5xBe&6t(u2UtXu2vx*NZ-g}EU2 z!ZgsW^50_H7yD*eyfV_ejpl<3!#u+KH^B#xyzP$s8QFQ(x3-?j_$o#80=5^wWh~em z^XsGcfLGDk%6T}9Ch)^|b8XL}?Gx0t+VHmMHs*=@nJ2EqPbpxR;&x<5vbJ;fNi?YQ zq2hRYBRsZGfJbnwe$CfF?^nDpoZ+c~ABf*)zE@mU z!TaHf;5~}Zo5kyLK5w31H_?Z_dodjy%K^N7ZQy(9?-Mb34g-pAMB7i>H#cA9^06VN8#|p(67XTNgD=|&E`u*?awDAOWWUZgh41x!;)voyte1y56Kkep zwtf!XN6)IC(;9CnegrL)Xa1_>UTN@~(!w08)7w+aV?4@hHpepAR2#tS+U+`Ids!HR zbc^)u#s2#Pl}#R8W8WqVR|WEu;P=P#7;vk;!~Eoyz|*8@eiGuiqLbPjp}g=GcqC5C z%KEvNl@0U~+>F}b7t3c&d`xQt zrIF+89!%-kMC(XJ_w8Y;VqC@6`${+U+|}~@P2VfPJDeLksC8@3!y8-AJ)D~B>x@UM zJK6o0%B)T1>aNb0ZEfDqZ^mVTFG-u1eH~>bf84cf|9k!a%dmqsw$&>Ki3go2+^F2F z)%ZpJ`CXJz+Nb!>>-q3KZe_0H@j9LtU4%2{Ar|*Rzo|{>u2J?agt*UjCwlu8=-A=p zKs>tE>-G<+9(61(M1Gy`;ccey2^@pc|ICL5ZI6iBlx$JQd+J>9wyy~JGP(nt{d*NxQ5La)b?CI-d5&J#5eB`_BtA`!KSw0 zD{Bi_w09+IEAC(XANLQBOjO72*N*zqxNW@Zi$1cx<8~Og`j%g%xs=9kw441R$Ku;F zoFD60;yRvA6OM)Q4aef~m>)~v#gb&OBN_Z{VquwH=v5qS65lZMog_Y7BfXHt!kX~7 zeGeLF&KjHgGo9i2tSy{N;Lj5?KNme3^L-XuL}vE&CMn-5rufiXgKZZd$Ucbg(J|<4 z)?KA111~Z580T8YRX+vhyqbHcPF7y@&y}~i%ZwVo*}LS2eq;H`IJ)yEZ& zhRh3y{b#y6XYWjRvoFkO zZ2RERb)K&u4Z2MBaT>5p_cEw=@d@uSpO~%j=_ae1-)Ic{cS+|_KCkmazb2=^p*;`T z-hpG3Q{x3s>efUrPnmhnwX$AW`ylxci+sJ1P^I+lUhwoOIy1B`oBloRr+pKxgf! z`oG1S@bIs~n`^^&_YobA%A53QyeV9&UWPL_*N^clpM65!Y(xX`KYaw=d?3%8zW=PB zK#PbsEw2ghY^>9)PNa)%KGuN8t&O~1^m?E!FUObGzSsYG9t?Xc;xhk# z>Cl+hzxJR1kJsyY{aE%d;5T@_j^_>8oH*h!+1?QExA{qwcdUC}v<_~5XSZVK{+SrC z?ZuQo%3fpTYt6`fyhZrF_?pROQM!C+_E~7nQ)}~mH~-mCU+Z61E7v?xEzNX$d2Kxj z|9-EZGipt~ZXa)JZNIUtW7DR=LtkMIA$j`*Yu#GY)f#Mh>iHe!zq980ai1Py*W1ar zeE_UIEXLOuUYEFY@9|k}ZFUjs?ZCi(uC4NI$vh|<)>OZe&346uh}n+ znSO1rkB^tDEa!=j3r4M>eS-J+Kfoh<|6pxoe8T)3kb?^4S7~1>Ek5|{f{fE`{ z<8Dv%LiS$=8tj7(Ev!k}UJ%yE#h;>e2G`-RmdQH0+E-a<5!ShFPDkI|A!vId!hG!p z`I}APti1C>L;WB6WVQ5b|5)vN){Q%c`#Zp`y%>4eZO$q_@cg5`3%onnN!R>{afkHI zx7{_ge#MSzWqfya;9q|3)?|UT1^(&j^m8V)C*I4`%gd3;AhwQsg~qvmd_390ewQul z*t0eNkkb0k``}RLRbQEc=PePsEcyYg?m z#>%L?`dHWbR`$QFTQH35A5rJud>_Yeto5OFP5O{d_$0ERSlOqME7m~9pF{4rYi#^! zWbacwuj^QM(ght3p81D9K^c|(i7#{9@oN`+s`NVx{#j-DKmWwnb|lC==gC1^x0g52 zS288Ju9J_=tjV3mn%w1lkGCXYe+}Q|b}*kijXD00FB~6UBK`s2m$e_#&LY-? z4-#Op=d)bwPQH%(2<4d%p=a`Jj|F=d#eZ7Q)Vw>?Q=Ut6zLUzEj_hCAp?%g?*8a&C z?jOF;eIF6>tUaFxT`cwym-GE)XU7#4&nWH~-@{%N*6Z}0wax;3|AXjq#nFg?mH4ja zfv`7#cYXi(2H{G1X(7vFkBrVFAJjRSYU9c;&_+ZLi_0~t(_X8?y%)OI!qJd#uA9~& zt{3{b>mAhL-RMGmFRL@j?d@{$Yag@Z8w`tCPIEMVH0-ScUh@?cV~D<`(B5l}Mc-~% zOz|f81HN5|EpM5h%={?us^0GLuZdp@;LaZ&lj$mem9!)+ZFG~ubpa**y81TlHM?0Kg%{1IxRp4R#*{0&oHCYwr_U!QE4Twrx_B1vAMo_H zHhdYyXS820v}-a&n#OP6IJ0&e;F%lxNo#OeACnF5?J@i}^G)9LP=1i|#Fb;d(mVQM zQ2TNPdmFyH?qX_1FQ5;eFBNWmnevVPGr_a))Tj-3F>8al@)2#2Z*8DEnzjLNW^FL9 zIiih-cbm2WuV!rwHfST_Wwo)5vDEv%^=oPtZ#$#oY{enPJ8`^C?^&#^fiEon9ysHl z&MvVB_2zhf@BOp;*pql4-#_i=`=>U(e+u)XWzZtT*j0DCmm^}QwfW;>^n8)CM&U{A zLwm(LldYqynb~^J3G8uxdFMTa$27{9OE_;5X>o zGt;N&*qV=9+pk}TKlaOv-&oi&-fMT@3ZAi-|CMw|&)Br%-2eZ)R%`UpT_^Sa;ZeR< zMDEJ3N%h^A#V$FEpKrSkIz2ScucKYLOLrS}IeEDDnXvXHAHA%&<6qRplPcI-)Borl z`(K>6{~2!XV6hTxKvzLFk#7Tvw4=C7NaMS)klreuQ$Og2`}SP9tF6%1F4#JM=+3$r zAkFErdAqnbdbarm(|jFtfzDtZJq;e#dT)Ne2J0}kUt?x6cIX@EBdw!A6Ki8et&M!$ z=ksM}H81xa1394*5mWqo7(Q_Dzx9;xjG@P3=YI|6j&j>T_Pp7k!t;*PL(64LnoCW+H%w?sUAO+3Z` z6Z<0f^L@;Pd><2JU1PQQGVqC|~MX4{N|_emq8Va3q>9yy0z!hzk!>gO|<}A;fvF<@<8*j$nKg>nAx^znFv$0(2Rr5?JNhrXf0I|vFA~r3b9NJdH@27I+jF}E0sUq0lxMrOD%lnB zEk0Fe0iO_eTX~-L@JA}}i^gH=7i*IV_m4c| zW5vc>%>B)`G`XzbzoGu*$JkiGW#1HkriSp^iY?eYpS8x-yTZKA^lTS<@kqBi@T>Ws z-PnT7v^{0hP_P9{yEYBBPW#SBx^8N}hp`-}binVlt2JqZhdMi`6KsTZgY@fpPvgAGwU#qhC~GM&UUz=>c|I`nXH9mXEUhF!L?ehb-9zKsRk?qE-gbbXda zxsay1+MDC-_WWI+4l>{C_wDrheLKP5i1$&+-{`H!xBNo+T?zh~#W zpM5uc`}sm~thTV(+E)|Pz1`M$jTX0SjrUk-ARj2khj3zeVeEz%aPhyJ;U(z87%$R= z!b_|Rr+^pji(FZcgRpnW^8A>jBVP#5Np818!->W#du04z`v0T5T3TCgw|B`S{841T z&2xOe+Gy+#G4}BrU$^6M(SK{aS+d`XAIzBro1HFfH1DkWu*^a6xtyPq+YdJ1*^=uP z2HTCkSngnIJFY~j<;_K-<)(Z?;-Xz z;BjTN0hfXy)Pwi4xm{gd#h|GB*#>p%>T7=IZIQL9@nQqCmq7Y*`_by-Cx-c9o$Y`I zvK?)&xNV5@&#JA{9zh4UnGUvnZ1gix`#O6nM}l7%@Y08^tlXQdP+Vrc zf6m5O#xCEJtjOeu`r-@4K4zR@;KErHsvO&;$1YuYBX|J322X zHZKS;Ee1~>hR~4C1dO@9^!dlF(kMCK%>#y$izSo{By`6FMFV(ZU zlmS1sPx3!G>v0?9#&2A;BffVki#2ZUV2_p4Ia#~{Sq{2J_DAPK308d%Wa;>Z*qbxe zm(qp*!bp<-@&80lD64d%(`B}w%gPzQo{qhyY$txA!CAceUU=o-z2CSz>R+--JNO}A4sh}v!_c>BN8d6UJQMWCy7k!CDXY4n zzS3HL0-e-$uI}6X8sL7)xG`!BZMSQzhO_QV2l?K`{KC5W_%Ir4*dwUCwi&(+%cBka z=KzP!vlq^v2adoa$W}&+S9%{dgMqUUV;BO?EWeAsmEToszXJThw?=p3qel0H?x{cf z&~#j{JA-ea_iE<&>_PSRJB#OvR*R+2*_V^E-^M%iSHRY&-g!i%NBA1)P0|tM;5PJ>_)%%6W1q|} zqd(0LjO0e;mve`Z#pqQZIKRZZ;9{=Kye!(IRV+R+d^KxJS1`t_f&X&%pXr55+`G-o z-jKL?sO;h!7(22CADXNwKEoQ-xXyXBJjSehH@YYz9EG)`;VbaDx!bao{LN5*Si5B{ zMs;N$Y%aoc;Qis#oDaO#kFQ1Ng{$w-{xoa(g+wV72d&tY^U98!~@-mmc@MGntS3Z!iwnEz%)Z=4^@U3ydYoi}< zYjUywl+QE&37cx)Pv+{$)(U2uGv&UAw^%PWFzBp&yhZuUyT_%g@_il^p6N~CAzkoj zU$EM?XXa$K&M90hcDM-NMH_xd)4h}8rQvhjv+5ZhF945sCr#;p;BN3g(cCnqJ!SKB z*PL|tEcjb%vB049nvpXELoF@9k}zkL4;pAXyp%l{_?Gegp(F6V<#$nEb5~+M!%Oi; ze0oc_+U2{ZZqntK;*%;4pXHzK^H2Brq26+zzTEe}g1Xd~Kl+`Z%YRV|X6y8T(&6*RMO|VpiCr zkF(aJJHvl6)7kjUHlUBp-o^7HY=PN*{8Gvd+FB1j?C#)4ves3?KOG4+WhU_H`_V$; z;tt5Y@^?qNU28dKM?MNR$I9#oZRnkt^TO~>o2|roM~N%1BCfnp`zUB%bdhb6Ki*kL z1{d-!_y)qcu)f{Ux9p?ElziP^wckG9ui((H-X=xs;__9&yZoLE*XYU$_HY<`D}3B= z9cx?Az2w)mLi|MYQpT3~U&&;}bMQ^(uQFQ6M|XWk{!Y%nP~TeH+Xua$n(k>H=-P

    R-;HP`T`!sg_oaeOwq9fW8t35Z`^Z2qm*?uQ zZBReVlT;_hwayDRm{=F6%}Hu7seHeu&B-cju%c%htQ9os7vJ09&ckYb=I23-OE}na z0RI}CNsonb1sv&JzdHWdEdKE4dohpM&bq(8mzO`pI=OuZRw^Tpxo;N4GwP?b8hKm- zZI%$X2>e01&XLeJ9x794MK@^=iJsvb=~k#6b+F8&MfmHt~813W(7xzYK0g~=DWy^H8!t$7F@hcBID z7kw93pkmz{kN!`Z}V9%AH!B&_?+t|7gW3q8T7t34h=%d(= zomuYN_-Vck@ds^mN3v(@{)2 z%{|BAvc#N)v&rl`v+MnMPtkaNd+h;M-s{fhzy`_hQ@OhHI7k5g{ zaKqTAn_C&b-oL={D|civ_h!zwT=Gx6GLCYEa`&<;` z@^eD#BOe?6K6Ndo20nHaqj+Y~$1HuCcwW3$M{D_NJ@7%GHSaO4kH+6$rf%;e1zHVi*vzwvbHPIPqibp5a^U4V_@~0dMS(|=hmfA<)mFwR8LrDmC)*h^jd&K?XM7iMfGsVD^>?MAcPwV{ z-SdryGx=?hS83E9@xx%t&6l7ZYwz>cUc-2**5o{oVViiCyx?C;hQeO2I8FU(>{f>O zY$x$qmDRl&{NG*&SBKJ)=h-`Bc31lYEbi`Q^un-qr19ZfC{AzmnoqgjTs+_Fbc>_n zr*7~x%Hqb9*WA{4&g;;%ahWf>HWmLxmyC6l;X!N(zD^x%(i2)Q3wuZc&Ehq*61w7u z80H??{o^>>%dMB@^+kS-6nP~UwEAF#kK08H&#%Ddc--PB;49EZwvF?sooqADSGwVV zXWe;zAM$+>&!@6(c_HhT?2kPl`lz1iJm?hlc_7>oC>qO$Ra_?PlXt5FzN~-jN5i_L z%df4g%e&PjrW5ROh{sr89v+q1Z|z=nuoJq67^TIQNbhDo5uUHvo@`y?V~aY|HSndz zd?9tiSnI}wUuE$GcsgF2kiTW{;RnUIwKU`9f>DF*tXomvo}$@{95L)GqIFU0c^CUwP&$qSrGW zq4M%mtX?v1`}CT%5qwvCTKOpz54Y7NEwmw8=x6i?H!i(r{2)AGa3L3NO#bW?%9J#h z2cO*KLTomQCGOFhray;$vzxcY-_$#KtnHE1zC6ii$#hZfegVm8kv!8W_hxHK$gJZR z=oRLp;vLPWn0p{s)R_Yx5_^`e63v32m(Po1Vfnle3)4D{&W*Nw!-e#kqj6o@;!SR^ zxa<>shHvQW${eMh!9$!&XCAzedc#p{OzWwN&17p~etnK_3Tz(vm+K|#^H}HRoAcH9 z97~Bc2xp!K7Q4h=8(kKI$Ia}Oi(-1}EMz|^cP@<=de%@D{%8Nb+7h2DewLkkj$EKGjh~dRSd;Xt@~uDKt(-aFL4?=#iCfBp~E$|3)~kJ^xIAP<5q$cA95JL~+va1OmU znnNe8?o0&f5j&TWb#8l}%zC-LbwRfs%RIWm{5P8qqnGvG0*`8bZF6VMg&FHw@d^AO zJJoE?EuA@{IU_cug>N zo97)o+?x!VJgs7F^gQ=$alTvNXYK2QX9SDNbiA2;b^Iqc>HSLCB#Q@)cs`Y$W=-=q zRqwnH`1LZ%msZmDIldq5S7RPCEz^~&54MtKcM<6RGs=k{%*IA>IPa4TGRLES>$P{x zanqHZO{pdB_xa$Yll;B(Z z6x*>?vPS;{y?!roFMEb*m$fy3LX$zUBJU8m}`6lNZTp!@| zbp%_1JlWs%5iLfaPQI`Kd9_$9JRtb4<_yVU+7n%*gOv8$QJUU4d*t9g#&H?r=$Y)+ ze*?|rmv+GeqFaawyqb0nFNHRzF%Iw3nJ+||`ca!Jbf$Haye-;W*&wgN{h;gpH(a_G zpbiFj92nZg=eh%+F7ILoUzmf2ywURobnZO2FgT37)$gy3bQQj^Vxp>J-&^xv zr>E4Gbd&rqJ!@|%da5BV<~Z6c%VHw<$z5(tU7QnH+Q7MO;4=8{lJ&ND4Fo^V{E;%g zB|Krz#3oEv?YYYC78cJAd;O+wxq|)~3FmTne@5RYikC~w!FxQ7?VWw^4+j5M`NXz& zhrNWN6+UFRqqaoZ-F~iYya8N_w{H)$7OuYa-l0+E4ZwA~=4&dKlndbK%7gM#9=J8x zy1$s*r}YPoXB3${l{szaWX*Rr{btL;O+)Jn$7`7HMuJJ_zX*pPupWo{nAZUM_TBUCBSkdhiZ-t^O{% zCVR8RJF;=Y!^-y#84ke3zFziM7ZbPskF9!Y9q0HlHHLns6b(RyGW0jIk zCopdtv~T#x`w;qMA9h@4h=#O3WluvsZ83WrZ0^B%p4gN#HO^38aH#KJQby^r-zppS zZ9g0QIqdxidGeFwZ&*B)wECENGkxq&*u;NJsD~%x!Bu~z}M8z`XNs?B<^Q1{aC$K4eGUe_{huG zlTKE>QVzG%S0!6Fd7Z9tObg{WyRf7+OFu@9En%O|Hp&R6qIc78D`Ov%`JnTg+<)M$ zFkg52Xn}nL>)M>}zt!^lNarIb=!sp`k>XSf5H^&yMJcz@*4pi>(4t9H<9d;NYd$pre^)`&ExYSuSCl*teC zo`(BLD~wZo-mHEW=Z$=i7u;`yy{MsI^<7y6F5!XgGyU9K<3|sUF3stBoieg)hZeiWxUF7grc zaw2{O#}*5dy@6Ktja$Ggbb2`0q$d2HfX8~gxEPW70-~R2h*UxeQtD~Tcfka632xPvA31=D}0}5y|Xv+eb6(C3m;S5Nph`N);X>}&5z8F zE|3oI-I0wS9|Ava^c>{`1&ZgZ(_;7Cx=DHO;lP>}6hdu;7jL+Ch7kpLB-w9Cf5i&dSA|&e)X2oZLA#l)KZlt+NcQ-mUIk@?dv}C>F8^ zn@yXATY7BW)nYZIS)X2}3fX=I&Ldf%D^&_1vGh8MvXf|5Vk5vHyy~a;PTYpdDfXi|UOv6lAjYSDtxgZ^5+5@kDuPLQ zO1Hk)Qzo92y|vh^Vkh*kb|3QkNADJ&n||baw2LhqWBvB1KF{i3K8*CcY=P|cvt9=@ zg@L$~`7^+zn3c6bj7n`J_+hO1o82-$OtS0!FqJdhN%p``*r&fE>_X{c zXlZRo9y~t=x~P5D`yJmOYa8&e(TTWFn7^wXYm0H1d?8cIkgulmonw@F$!Az|a^EL2 zXZCR3@9(KK{)RU#UKyWv+2#0Qt>=e#0i(^y_guMaALna7^;D8xyPvgC@tEQf#5*;v zX6;#QAAYuY1aur>OslTp%aZ>IXt{L}Xl@Na!b=|{*#low*n znOsD96Uqg!)X9ZllZ*wq;9bw6UqiWQRzJvv>K{!mnza$+LTxmV3!^#mpgD>B4wDP! zDuLhPZ)5*3&u^P$V`|@P9g~d_ouae9{|`73jS}`p>c6nU(L9_v72?;@0ogv=2IYf3 zi|bju+Uv7n^jWY6h2`|&UT_m{8$Hd*rsz$)$NVtv zpfSE5p|0+<(%O9B|C1vA4|N0o>pfmq3;ZABp_we$H)6uqEsTp;xn#lJqs#MyYb<6S z;I%V+!g|0jTueNi*%sn+YD0L?xWe5i87`?KT&fR~CyxiSVZLAS%XZqZeBwf3taWl2 zr5_=OQC^UpOb(;GIyuVOCygPNL&J;Y(94nDgB)od?A8I`1?kxWF~?^0y$o6XoDAjd zQ`0tz&OTWiJPThI*9!JYd^dp{T1-cN6?}TR$zk*zQ-eJK6Zv`-;!hLt{4@T(R`XAR zYvi@~ImnS@Ncdgr`Tk9e!QwTuYV?ljn$L^rn$MevuA$$|?*I;KE9ghwC!%Z9`kt=J z&+EoKU7NPy>1u8Kigf*$(KTAnZ$MXz7bq6BxfY8G@yxLHYkZ`+;dJ&h&T-$Yy=0$# zS7+Zgi}y5tuz8O6#ix3j+dKtdXa{r8;0pykcaiE9nXlnLD_^!e<_FzF6y`q4uZwxM zq%iG=?wJHB#vuo4((0lJkv-5G$}X$?a74qv^X7*Z$j1hChqmAu^DWUEhD*sVxE5{$e&wg> zTk=mG3tg$7w9+PY4Qs`Aev;DZ+tPKmn(5mG=vi#Fa7p|2Jm2Bfp67VH?pduhpN-ds zI4*5l9G7`j!dzGTjMc8@UU_?(pYkW6cWnQf_W8!M(wXX0G2^Ju-=NP7-@Q%xo$mY98Yy*ctngLLn@#)e zJ3IaN2k4jhX54S5@3(I6O-@$TR~FAJ65qR~f2e=mUswBn^sQ>&Q_h}>zS6_U?=H!% z&cl?wm;9FThxC6k{*dk!9>LGm`+2N|>VKiuLVKfoFE$f1@;=Md;I~swK7j6z4YC?! z`JE=q;F2Rx0Yx9 zMg6O6LHbE^BKj1cgmK#0a?&;M!%gTKwOK;%g*89bv9oT`kJ-Kp^oaV?n!4Iy4*}ms zH@7|FjizTY*t(haBhPndF>Idi@VD8=snJJ@9X&H6ij{Ub`48)5&JHks>7tx`R@zx} zz}E|T#>3@l*_pGkxPu5Y`8(`D5UHmQ@+1v^F5q&F{z&G%f z{fmDXKk+7;7qTv9{KVQ&?LA(XRsMX=J!3!GJA`Ac>H2=f<9aVFM*sIPKS8H_%JX-h zd^`G_K^?`z>|A7YgUvhfV`MMl^6Pzh#mD;nbHMW@FQQ-V1Gc-jHP2Ol{>+cC|10#N z{zBiOzq3?VFz4#t9{ehO4-)cn;|T4V&4}CZ3-AcGz8o%&C+&sO zK;x2(=zo~GQg)8*|Km@`pQ0!JfNWMqSI;kvXcA}~_~k|OX9NBS@)P=K%AYY0dRXs# z0laktfBH5u9-n|eW7z(?`7`@oa5MfXcIsH|yVjCLAFU_Lzv-HW9@E;8|90Q(q;%}k z+efUvEjSSe-s?j$u8~C`y(5vG}&jv zMOY(5|F6vETebFVE{$)oF4#-8>v3fM4E|c+F~KqdZq>i$sp!?rCurEG_V&bm#_cxn zlh$|`LO=V!S>}f{!T*n%!I0Yz5PZ(8ZSt*ck3)@>z2`P>(;B+*kDs^X$G?yKd|lyV zR;Ul$!6(sLZQdv8gx+p`46fn1yl)~L>zruo1G=k?*f)9ReYN>z;CFayhWLMF=95Hg zu0?#3x%ecf;g8@OuwTY}i7*e8A1fcQ1g(#VWi^RK$tNk`lgOTTdm5{aklxTYU~Nci z>*60P*UX2YoO}q$h4!IokNvUKk=|51Qgwuv;q&zUVj+F7c=g{M?$w?lf4^$c?YR>! zq!ThcFelf$;e+w%Ec5SPNsMtivaA@9)>5aVJK{a|lj+Z|rPlTcxbv13v(X+T$*I0? z7LPUiRxsEA#~U5HP6mEEpGEbNn^51{^Y7-*;e;`mmw+X24M0^iIT6>ntD z*MarghTZsd&zvz<_e;@_z;}8d;M;>+ZdhG=hp~BJXCF%Z3Na%ctf^vR&JNQVhI8UtcIMJ=dO9NyW7m;iVx3=eCBedcU~IT!Mq1d! z{T<}3DY-LShvybj)(^%;$UAw{rlEq`MGsj&1IyF5>z(+e=pOoc7X5F0PH5OP zur~zVJhq*2m51BY+viXZTOmKG(sJ-D!C=q8BmG%=7vIhLdC5ZMDeanMV+sGIFW}kl zrL6#4C;Mp)rZ=ug4-eFAlg(R>weFe~>2uT#a~8q$RmLKGJxTguaIQ4j)tEl`cL&yZ zSih)pz2#Kr!W?@0HwUEm>u9^@>?3JAy)ZV?UVv6B;c53@TFE(QMgOdGjSq|7EAbCs zlU9D=o-?`oxqrXK@4x+-FUvmd%D-Y)+gCc=T(=_qGVl$5I~ijyoAJcn#pu07ErWbS zcH;22JzXn{)4$X>e&Ek5{sA#M{Ij;O?*lkm|Jn65`UB3tYIA3XDsH}ydZi?JzSYZ_ z+7#T4%7eGtM~S7!wA(^`;aI=L@bH#SN#E<=)gJuucEoXPpR}oSk1O9R z03+u!WI7)hyMgh0?##Au9#_Ee@I5Ehw}(FXI_+t#U3rF+6VEX{_zluU2ctK1tpH0W zw5?E1xU{nK&PjhHcwPW~1%IG#;K3jR+jBI2h_abXTz5*k+rMi(qo46S9?QWE5uLkU zU6X@1@r)dpe7uY28UFe7rD^9Z|NLRn=lJI@^E}@_|B&ahAMb0=Nw)#RMEvr4|BcwO z@=LehLu}>eK)V;fFO%h$Qa+i1972PzRug1$Qpm@CH_9)De0+yS`7J)bfDe-BP7~hq zcb?cf2tHZzAh38{PzdeLqFvICLqF($3jg0K{VwhNj+IrqJ$t<|8ND%y{d&b|$#}~Q z{OMWAcru4IpS&C#dUg5|=wNcNx``Z|?&To*#&#k(_|H!#TThTqmTciSAy;P_{|C8v z@?4XPG0HWPm!FXy`1)uvGd;jgKkGw3(yQRXc(lB@W;2G*O^cK_S$P3+_8$>Ec{#fz zCuavJo5|T7r=(B&cayVEcsYpW?4j4x^y!az4)$gi@)YDuvK8d)-zgL1Z2oyQIlF*o zxxR>9?V5O>?^V{%{79bgO)D>Ebw!zX$!a2l^4)L8ol&_iLd_OW?)fr;>4d zUdi)6@%(eyC9}cVzU<+Day%PsS}EB(RGHzwHHNQM&+w@>nP-hWMXZ@$SQp5@ci!`X zq5f+>QSE!^$!h1%{5Q$S%kU49@dLDx$vw|qJ9K$~#4W42RcB~DZ-3pzKDqCyLOV5H10gs*jTjt@r zxdkh>MVscO-ITNWGw|qsm=f`?a`0X2%RjenS(271Z?Z#PY-?UldQ;hZ^pdx;kEcklC-dDbo zjJ+7%3jXR+_~lgiMRJ|fz0a+iR7gMfDfr_n;2R%lAbjf%{v{9MH|?j(`5Moydt)Kp zPQ5p&)@>@JchKf5)h7CrbJNGvw%J43BJG*!M>g(G#zXq>UH)16;9mcX zeN(>d=ik!azPozHpSqj;dr0e9vtamM>|beZhshUhnq5>ss;7Q9-@$C2(qwB%n`CD` zymf)_F^c_?UtGk#wP4>0*tZ1x29G{h{$wG&ojxyS4B}7Wdjy*!pYICN4Oc5`xC(pW zjqXSB^@eZPe9rlg`#zA2;X^*R?zdXf^JsVE_MWkQALudquH-$_Y3RmqrbCDo2b~$y zc6f8t_WP~v$Jh0@q@8MeGi|@$wSB5@J8u&i`_3|R+1HbAy5{Keyt9lv_xSemvV3Yy zmUot!Km9u8ye#i5KYB{~O8@RcLowL1ou!8}zj0^D z+cVQQyIRtd=%=B)&vEkpXe{qtPTs>lh`g*fvTY6R7_uju#~j+`vC_l0hS>2Y}VoLDwcey(?N)K@YqyMjH>z)Bd<5~H*Jj>RFxn+ApTi0ebFt%%g zH`t}oV(C6~&z92KBqi2%P;^~ZNXC|;w@yWGEkwrTf8_Mn(swsmUVmb!V{s!k-ry(uud)*=wX5KmMX7r(tikjXCFw%7zEqEWM!la!y}9 zzV1*ly$m={6K%kk`811bYdzMk=bsYytVkD!`QQV7KA8CcvJp8Lg03&4s~6J0>3Z}| z&=)q}JabZdCNN9`hO8~{T%b-vnD3aBc2ZurF#MsDMVE$i$44in7Y8~VqwKGY+Kyu< zOLDS*7UeS8fAx~|4F8_VetBMqo$M?rUINeHcke9u*Z|LumoA$e?D*s5%B1vU!HSF| z4qtN)Vp0WN`e~%Q;NufUOyOJ`B84Q09 z`$B$!e3J+8oAFS7p7e*4)4%xya8tg-I$Pk67acG7(&Tg}?M3sSon;>{_#){?q4~}- z@q))|@YMTn4#wDjGkq`k)o#F1X_~{?m!P?&MKLt(q0Z=z4fry3v-dleq@VZi4fx>k zQtNTS&wRZ6=;ZX%l%0sij~+v;Of*iq>ghO7v=$%X9}M4^n6HqacWwSnS)=LCSvxx2 z*yO;-=59aGAt%Wq*BOmaCo*!p_mXA$NNxK{1=!qPTULND<6`kqA zJdWz-1XF4})ITMibrif@=g$x^T|NO`!gt-Q31xT*^R3;%R>2SZ8N1oU?S&M1H(3hj za2TzUQu^G-ldZOfMA^{ph>v>@V<$%7mkpO8H(}nPxdro%cs*A03-e1?pi{zqF8IE( zLF-#w+{9=T`I6frIA#AsexOYjGhS9ozYUC{fB3yzd@Oi1$0SbQbj;`m@os+1U-a!| zZQvg@ZKDz1-dajOo`WfttJ`usb2nu(y|ZgcdY6CCt(<)SF!U-h#kP2&ETzr;qg-1=V1{3n$@wj31Zx~ z_Q@DD-!%Syu9Tkb>sNrMq_q{s@_(R@jVIED_vL7ID)lm&{bWgcihplNvkk4mXL!7H zE6+g}p4gh6M7@Ue^Z0r+rk{K=(JzWoRz8PpeGVEz$Mx}giBGG;7c@Jx-RpVfcZ(*R zbLRDg#0ri+=24EuFf(^bsr;Nk4PV(E8-qa4vpy57%!g5En~&hz_i>G|M* z{pGc}gmj>%mD)5InfoA1&c^t(5DQrA=M;Gu`iUu&jt;}lb-++IIsk)j+hVZN>x`3i z+-&X|?rNy~E8}PGDws3}F*~1|qh@ng`BM$%uCg^s4}50xmU=&V=emKm^gp-NY>wd= zeOoyIOvsaHuqxo?05E~OHNh6^9h;gZIH#r0@1=v7Y>1O;6ew zuUFq;%%#qBgMarnZ%bW_?A)orw2=#r6KZeO~}f z+4?y7#^X=OmnZ(??S=OjnYSF5p3`8gKgx~umGM~Lx+MLziN>l}-(-skY$^SFwx42) z#RsODzqGTwW@(<3ycC@L zDqS%G;Uku{obKPbZtv7|&%ML|)DAl3SBwE{S;wA%&(U5K1K3i2#WIUme}VL%d&ENx z;y&=sr1UXgF6Pb8=jin<%4EFxWM}$K|K5-{-!!epnCNW?X9M7tv$_EbM!L(wSHQ9 zTLYX7<#2LyjFW-R^d|pa`5Caj*|qI`;hp7O)6#dv`KxpJXTBu8KF(j8%isBu^qM&T z8u>7Lh6Wb6wa}5@WiIXIG3#^L^z^r=GxEEvod{2YYXf#7Uv6M}`adXV`PVxff7jdB ztRCrkxzGA}`SIy%s4rf#HdYC?PYzYM)2oj=y@G$0gncoBLuH`lntVT`izZpy+m26{ z__j0t!ycSWTJ{d^7x;J2k2_1!8Q8o&#Su5KU(e}}ofcPW^*UqTjP!WwHRMenD|s}W zwI{uKw3q;X$p+7xwnrCVNBUGaDL^mn2i@dxAlS2cH)Ud42KrnG>=*ucMx8!!_H{Z8l|v0;KfDATl$=NtF&ui}Eg#;fgXPMZ z>6^%JNJqaGKGmPiZ*ciF?M88@;4@qw@wU~Gyby;no$U987@bHnxnN8oR&L{ZbY{9N z;D<7tU;5VzdloK8KDltZ`L^hbX*pg{48-Iz*H5-zL$Ma+U7-CMZk=AZ40AK<_v{nX zm&E;^d-Q%M>{D?B^?B~5!FG!!H0k%xPfVZtsH0dojGdvB=sx?H`Nzck$u>RptpH;X$mL%oY~_4;3$-V^G* zAy<#N((igDXw%Lgtb9AEeLMJVd_(MM5B`CDTP^)axrmpyl&8KdT}XZ1 zMP>NN=fC4+=}F|9YynG2_YO=>P9O0$I+LaEzbt)8uH5>9`$oXp^>yp|?wOkwLLKaT ziFsD#?aAPPKli@!_8R=wzut*cBw-$=cj6QeGQPzDe%fif89&|HE2KF+wWYjwZu*nI zaC3HpE6n96-!-GQeh)9i``ovb&z_h59rZL9&&K@Vyz~ju?93f-iyquk?wp@KN?L}m zF7T!JWnQnt*Q4O1tE;Jv+EU&+KOOXK1sv*5;m8JUDIc7l?xak}M{i|k!PS*pzaaf| zRIYV}=c(;&NAlE@3(|X{vdLvV<9*+M-%#JZpR4x2@|)Glk7|4V>iT$fM|x+d2R^m- z)%T&zLzN|;t*-y=A6M5u+@#+99qAv3df+7I_iriBTbTYql&^a*>iFo6h3VU)eBGa2 z2iLzXOn*1z3odZf#1G$6erq|sGL#k1uFCcG{c?I~oPTjH|J5g_uaEMRH|1dY@U9wr9)582o%-OZk0^(nV1l zI=@hQVtZIK3%vYqi_$sqSXj3-xQJH<|2k{)%9p1viOZflLD@%No)+V>eh!(n_3Fjx zFYa+;6knUJWxnzsq-F1iI@79um)$1bR?idnFHZMI`K|2DF&)3ME#(Xq;@%*+W=@%$#e4u>A2Ct5E|JCS5XsXzIoz9xnnSPRbip2<*rnBDB znchp9=381PYv|AV7+8o2W^;&U@t-%l{>vdA&zi@5`L(qASmu^8F_D}6m`tC2EoZCF z>`LE7e!LE*@f!}Jxs_sq8D6@<%M}q`u4san*LI~>ry@Qd^=&nn*K8^O&8g{se8ls+ z+OxU%k@1lS8ns7R>CkANgx|9?-RIlOd>`7a!|SC>(;xaWc^(U~y`Y;OqgSmKu?lUk@v+ztleTy)`4-y;){B7k+U{lf^@uIyXO^ZPqJAC^Pd1BVc)6&9cOtoX zQv@&kjolpkdLwwrvvoxBg!0L!yl#I7 zJkmv8*9`O(vGEI|ct?mAmdGzLN6gmnsbguAU0RcMe8biEKkVfoTF2k#ZBAZ39`-Q^ z!y#)}4^cO)jlJW!!*`4KGG1HDx(vK#Hu>L{rC(K9@;}Z0;YBTO|H`8C?e1-T&%9o9 zR(MI{V4Me#?Mv1FAFJNwIt$?Jx^J2fZ%#PNqOfDUH%W)5aF53n&IOp#Gqx~6NAsWX z&GOWOe_quy_PE+1{k!e@PX;Mdn_Kc+Di^b}(Nyl%KX>If(T3jdD7ya>C%OMw$2q)_ z$K4JqcL0w+t3c;&PuVfP$KCmB=Qi>!bvVDr-Lco;j9AWIf+h=|23>_ZV+RjKjcmEJq(tSrozJ-1Ye4NX8!#zd1+sEoX=j#1>qrCrg zd8d)5@|+T z(grhu`TQ?0*#GV4eQ;>$RbQ=scGaWR_R7=M zHJqK@Q%=TJ=Chn3c{}HTUc@<|7jX`#FfkOaEy|lBa%jI>ha%KApoKJDF z&d=mdi8pbc47BYi5c}Z2K>PMS!@aivuijgL#s1g2{{*=8o&dM~1Ec;6;Kts;ul;|D z|03<5jx6XO9b^B~k}=)4So-G8L!Fb|^LdNizigZG^u2+V?e_n(bVu{+b{sCYIN9Y~ zm+>20xUV}&xp&LtPV<-`XOaiW!tbCPBu^dF63#f{3{m)vZ@2$8y9~TSv zN48&I_Mj^ZZ%A(sXl!=wX~(W_VK;=Q_3HP|DK;k?h;hKVi_dtUAnr#v&{zbs;h6E{ z+kTF=E3{kJ-r`@az405*-;td?(_4R6kKhZsJe+?K?gY#9chTv0cTb_$-(~}XE_e5= zil4O)xKv1@BIAui+ZPcR$%tnag~ z%|_+vUpBd}JZT0)T%I_*wST%R|3K7!2eOvIvA9QbhuV06eN};Vn`sY!#M)dOl_j<~ zVOeB3YnQUtzu}_wK)|VukG#rEe;>VYN*TSYZUtLr{Yoz=5BQq4LtX`&I9WU%+Tq>W zneN*Ge$$1-<{J6G1@FW8v(zmPyfW}VI&{Ma-aGX0zYkQqu6(R|>vK;#xk8U>Zl^lU z@&$w8qR1E?c|8VDQbFPrn7n`vi#AX}eE5i+C zRuQ{hMeO!gVz;BjZWm&Y671muqlasw9~<9^jUT|qm$21gzd@K!>rA<(abWgBxcmfI zL}OQWq=Q&A-*$w&FkYiGF~14nE&?~P<56PA8;BimAa-nUW7`aF@)cihcJ_4!w=dT) z4lTGX-^1<8W^ntw4DQXGySJSEY<>^8#x;8Jdxth0zpJ`x#rLZ_4tp58-5ujLZryvu zyV?*R)!&0$J8SZp_>6PrJi1S|Zr?4wU1d zo+xU*KRQbJ;G#zntvn9P%&Q;E|SW&Y`o{f{*#4;suhQV7L95ET+GA zx6>~11GlzM9JiQO(8Zchv@n<8eD<*}VB|b}{2+AMTD}QTjG?bP9YOX^CXf3c#O>2ZE?M|vs}F^yVFT=`tFyy z^y|9QUv71X)v`YHGhd(^j|KY)E|A%*1*T2M_QL4Mg_TKxE zq0(u8UETZgN2>i(Li${H?}L0PzHf80dtEF2Wt8y2F-Rre&^V~yq?K8J21Y7WQ@`d%E-cwzF zVw196wYCR_K037bU4K>W{K-F6`#I+(!EegiKD=e9|Bt>_t-R{->iYlme%aDwd~eTt zhx+$@rn>jf|Djqr-cFa{Dgk`Q}PsR%JSi- zTk~n~)BEB!0zYl*PXCDX3O={$H{z#v$Mpg~-QS(QBTf(e^!4uaZE`;DS)1M4=e)H4S{?GiN zTEWkYdBOa5Xg>^{oqdDOH^0Q`4Y$u{ONo6xfyVQ}fqa+(`Vl(u-Trs?5AFTf7ptY84ORDgIcQiHd~NqWfZ-&xExsR_o`Or$HPV|ux=VZj{fqP5 z{h3-{2JR8>&y?Ek85%g}Q`LdHzgg}3H;->C>)O&hvOp}<;-y6&FU8(IO1mM3Yx1*l zUK+|iq&#d}NH=)ySf2hB>F(}k=5B%`#&-<+dzPny{Q=7BY-yXzs(i#()^-@{8drWh z<%Q$$+qU@%ySpiQsBL_BDRY?3#BO&-&kysw#HW9^&F=BDGEYQh{+9I3+)t>wKh(2t z^T$z{k?8rSQ9Gm2^S`&b{&j!k808oFe#c$i5#ST8!@u=6x!vN4iU*X+^PYbs@EWj; zK9zi-tLo=L1-`S})gCB6zSd)B)>)3ulssT4to6^KccI?fr|ZWe9;}c%P01) zvH$8*XRFzHzH{6hL1+9~I^XzM`eL6>Trl(_A4vT^mHGHN82GkDFiiDpzNQbFz@R?l zvsD&hOTexC{~VJ{R}wru>F`ctIwVvqa}NQto{l= zzL0*dPd``bE(X#c&66k8b<-0UH)y2W$P-MQ=Zj3ZK6TE7U?~tQS^!UsAS;4Ny2QdcL#bFG_)&hTRiFX_TWs&6|u@bOt8$Fc^GVfI;V3obEtQTbXfEOFC6g1^*5r$_Ill27^B3zQ zr29F)=1Xzdxm!Ktxs9~Ne0RuZsHDB2H7F~0(qqUzRI`f(a@LuEdHu$m|5<9b} z?!N0{6jSo&wi>UX8|=R8_-siZ8wfF_em|cT{8`K;((Tf5;p|A!%+4lJyuin85@=(5 z56=}iv(aJ+dHQgEiKWN%p^XCc$)773_(J6s+tGgu|8_2=_+)}~qb>Q0iyc9C(OG%O zvf&&$8}9_zmiu&KjdkfOd^)=C4bri+VYsXF7a04vA0uN5e0ILKca8932lEk`H-D#C=05CJ{~~M z72o-8-tOjgGWwQS*sl1_mk@W(^e}A}8tGTklh$N>Dlj!H3obLA?aKxnYHZEUUpRuU z?KQeS?0xe}yQAwu=p6hoqn&TpcovH~asa{QoWf|5pEhr~gm=|A!|H zmUK@7vAR*(?PNU}e_H#9?YrKB_NS$|cF*0X+*AzxFlCxMjCHS&Lqn zaF+sWZeQQR99sC8%UhZosroiiMJG^XbfX{SW!LJP z74C7Eqwy1aQyi|(f1{!2EVdcl<8T|W{vB-wd}?p4;-B~$HeVYK`w=_fDRhVCaHDY= zb3$zSr8ZubVQp<;{7#IhCw?auv?hKh*0U*oKRx%poc6+gF}43@z6ar5vTiiE;kANu zMklTB~7t(I=Y4BTbNW0ai!F#U>X?OZG_|W!MLs!<2#@7E{ zvUNFS#Cv*Q$383LJMmY*P-;2w1c|L-l7pV+wz!N*m2fMXTZ0ja}&bD~2LTpHU z6nN&{@Dg+B`|wT2?xgGqas8>kmY$Ta&)hk#|2v`nl%BD9E%ozP$qIaEawGjNeQomy za4r0H3BQHbcEj~XF9YD$@`O{L*Ckwra_{oxK4`ey_=wk4)`sK{S&HSTEgR_VaJN(~n2_;t9d8 zJ4%YwExjjseuvNR?{If0i6^j+lBpSjM}4zyz*^3x!B+Y%+|+sx=id@XQo4to`~j~Y z2Bx}pUPe2zPo0d*GYn7&2h4S~j|dm59Ur*WBfjK+*hxRI?g8dKJ2+*KP( zGaCQ$Pq`Ny{P%lXCt76mKHby1+yBq^d{Ca4{=+l5gJ?Qs!4WoaMZcF3+4pOJ`7nHK z{D3VLz6G1g?G1V@q;D8KyL2;l!OMugx3hY}op^zE{uN$0Jkz&Ff1@*N?Nv(t{Jzkh z@27HHE?xcHQrP&N;Qxm5N*^t3WN+-Hb?_?vhL@cn-&rupC$Mplt~4t<9bUr+6Alcf zd>?Uo+((?QKHzujBT84A^?^SJ?S#K;;ZcK8IF@gj#}hC*oPn#q0%!7Vv@WS~!|3&F z4_5>E#cy;zTG8nUvo%ka(_0Q7zB`lEB7DRC()Xx6c*x3B%ISM3^PrdKQOcN4MY)Y} zxp^n2zn3d#{7AXqiOU@AJ zT#j%1F3gqN>&v|=E_db0X-}?PN&7v4@3gqwbtk94o-5bs%jtZ`41cdbIbD`3SMmMY z`7Hs@?>RX=IajXFw`X@D{(tPfYn)w0mG{3-PFhYUX_Ei}LN1*{$fTPPAS4kYA{`or za8to}ogUEY&ml!q*wEznqC{#vuVaqpXX@w;?d~(S?+4S z4}MVZoi3L_`3-%ykoSL5(vvhezvCY6W$PuEjTk7O#5^wLR)l;(-IwPkJ@VNEGwQOF z2V?^@f`>Cub{29s9;)Y}+iZRCst#+(JS$WEOOu|T`ufdX*kiL8uN-i?Hu`IWzc%^n zcz>PXujKR^{1ksJx~ti{&}BXm`1HPFzwWVZMQ`(kBL?ic)L%C?Ehxx`JB=KV<2>EK znZNY;3Fa?d2|rdJ;QggL8%liRaG;N8`p&>9JnJPsBb>R7BTKsGH#U|=G<2N%fZliD zKDm3O(V%u(?ss$)?mk85y;`11`80Tpzk%E=HXi97e`8@-2ZUo|li|*Rds{R4#pI#P zqHV!HDZ9814)mhKX*e1^jwYAK;_Dkf;6pEcx|*^=GHz#Q@U4)Y#_wIfwVyTC)^yg{ z4TmB#$j^)4Tkeb2+-OV+cQBrr?*_nw58HYb@= zCOenX*Mn1EWlM;EFm}%^@$yxo4l>IcJfqrI*(6`(Rph(4_hY*7SJrHry8hlgIn%_7 znWGCH+vN8ZHW82F`?InIF86(u4Y+R8-Pq3^TlpsDZqd^XT!C@a_k^|Yqx$;B@zVV| z&i#qefnH+%tlZDPL#SA11LrCrZ?bciy~@u!{%=)ZkvI0z*0c9xv9q(i&)&;(vjMI= zs`T9~++cnMbJ6C3>M5q6{Ma%+kp3Irn$c0-@3l6w zxUj!cT)`H@e(A>^D{O4NNjwvNYlFUpd-33&h)z8xuUWi1x0NxME%)0%^Crr>DEq?a z4^_G0!WLUpNM57=!j)6Zg&5Aq1I~7M)Xo?QCu6kGkC9@lVVpEZ@%S7CF4bw&c=>w9 zYsxmKIdvD4pPjIu*}S_bc<|YryfNC(SDA+qZ8k0+I;wPWM4RX~TH5axea5HZXsgf# zZuqM9h2yKp)ap$a;uHQYd$rCdtX>lvwI-(Xz~X>&(cc&Iy;|Pa-mZ0VE;6T>pw`8E z8%#G!XH62l=!C-k=;{!^(mi^C!1TFVzB z6AzADQ4BG0+Ldlq{}qqabL5fuNLx=Ibj&#c{YorGGT%ELnaWqrLMqcnOJhd2mX9jk zPFqvdR*ZX+$IZGGa32cp=a5I!-|VUNpFdQ8&&nnCEu$T@rSF2YG-cXbb#&<(-?v`c z3vEiDKX?&3hBEf^2iEc5$4=65pwFp3x(Xb7HZ@l3qV}QR!`_BYFn?2H#X8h&`iFUu zFC2l7!nfy=oh=6@i=W#MyCg|&J!5A}sgNY&PQUt#CSysi`KRV1b`kp_m*SItjg#)s z7>Up3uXEpzerzSiSa=-Yt2N5&il0UETXd!0F&&F+blp((?NjL#y$2|raw2V^9|l@P z2Xn0j8%XjYd-(la4$K>hv_Z`{Vt6?$z#IXG7@u<^KK{e?N79_xwoih4%Hgu9jA@Oy;UPS?xyYV`zWuITmH3@F%N_LZ!CeQA9n49= zCnvhA>=M;ePJ#5r8s_qQzrN>o@eq35BW(W33@`T=JO|EXWyi?XD z7h|E$i>!mH+lwx@^>*b^rB6e1FM3k^l-`q%){kvi4(BzfK61J>S$$OL&wtu;dlJ>z z+*oEm&E;YUUOF>v8x^bodvZ>&=@jB3Cv7f-3Ek~6$iY9+1rP1`J z%cknw(l2_uF^rLPrlZ+CXYX;b=uOLxcYHj|m#I(9{7-rG%u%I(+Q+uW$9N-JLLU@2 zNZTb(NNq`H23n1-&I@1C`!IShHJ&H2&9H>CzKL56#&#buMf?}{j&RrukPc&is`NPU zWpog7!5J-%zXj~`~bx*dJ=EpElG^5gSo40L226_2gvp13%&p&TAw#1y1}( z^aDI<^1cJ(wwp5o&=Vc!-Y#8$t}cN`wp|N2%$6a3WB0Ug_c`dHp5h(KcTgS!<>_~~ z^(?uYG3rc8w-PI4j+x9alCKL5EwqI%Xg*di?}4blk`etxAG*rm4KMq`v;97r;q7vG z|DgunMOnP?Fvhzw#*2;&=js{HpgDJc+rU?`p;t2w@=eOgZu7;uJ>APZ{(v*^Svgep z-_}3gy^C`^(bY~*-?z1&GX+lPOo3_ATgszDe<$Rgq2Jwq@;w)r&oPOWhj~w!T zyWvU5H&S`?I~Yq{FZ9=??wWMvkS+S+V@em#b9u{#cRun=9dy887ya9xXXr@BYrp3w z8%fXc74i49hTgSaYf~+`!T#-$>@fdLZbF<>{Bbr?^saw<@&xmLpl?5Xv^=!#XZsEV zik=Q=lkSc6Pw?#tX-l9O$O%(G9exzGwObk}Ij2gN}oLtUFLWG=Y*_F2WO zXkYu?%(r>Q6P|73UUThHVVJqriClIv*O(LQ{M?sa8unn+R(Hso zrL8arzofYz&q3(2IS5~*A2kQXL(ypXnHyt5?y}nBK78-Q`s3$OI&YYh&%U=E%5S(h%v#xwkz{g{`bg*^a^+nWr}VZJKQEP9Vn`|W}6fzHCnh|U?wikl*Ok{)~q z#a*Y(DBZKWVnaz@r04K;Y#yX=2hJ$10$+;Pn%ofPwE=>6Rq5YJ%NWbcNM!)Vi*V!!g4E?IuTR--COD^f@LT;4{ zoI}@lA(!^Qk#`@FL;FvjTpw-O{|02P-Pe_Fr(QyiardSR9KIF!0l*4=U-F=Pr_+z= z$TaOLKicqVtwDy>uOE5+q5JU6XUNa=7YoO#VR|5xKfYw;|I`J(v3sclQYQ?$-DPBGqI%Aol{@xYR3mg zFKm|$m%li*;k5P@uwAgdogT)1$JTr4aLrrnI>r9hw%@}#w|uwk%1hDR8~j}Br|u%= zo5oY|0oE$x-*-L#^t=UG*YhCPp}j(EXVGSFUSoXG`hIj)fEPZ|qPp0TFAZK(i7V{s zRJ^Q#Gq;G{=bLNVkbB1ZwXMmoZ6By@8+L~E3!9CYsP;w7PaKu%H`b=HZS2b7y!|d7d zz-i58AJXo@XZKB>r-}tg_cW0M6X(85zC^Fau}FK+ZU1Lb51xc~fv@xZQ0_zP=<-&x z`=oogZ{(b){w9Ck5A#y8<;tJjdL!@2#<0n)@0==qCK)lgKJm?#7qZCrk$R$gMMtGQ z%cs=$J`PUtZr<8B#^YrUPw?e8a&|{6XLqdS?2bmx=dyNr-sGRxJo|*_b`Amku=&ir z=?>jXr=qu9Un=@p?@i=pxbhr2R?kfj=(->oH2yKxEmtST%Vqk1Exgrpy*m1{{R%T$sSW6}YUX4$#M*kY3@!9D6*AJZ8(sBQgL5)xRGhSlT{V3B{ zwe@RsN1#8*Lany`)wgB2I6)R@%jm{lLw7w?gl})G!8gTUBDgK$+o>5|1il@Rg@tdg z&ADyD%#eMK&4QtW;p2j%eM0}`@!=B0+iay^mzxP;$&dM-*EVIr`^W$O9Cipez zW3|_ylceXRALFB7H=jdK6YCnx zp=az~>k{QbpIe#qxL~EXb(P-Mb-uq!Z*y-lE4|Hs$)xfZO?Pu|I-9HMY+a?ZRi4q= z^N&GivrZFlGn~`V-EQq|>)F9R+v(U>$}eeYpgz~;1^#-XzbbIjhjd{D^RNhh$VXA+uQPP z%`jOuxVxS0xG5<;$@r&wWYW+zMKJ=cDUYIWq_h438mvF`%i=)d4Sc^`wAG{Ib;p#B zgN|vQj$orXn(tn(9O#*ndBvqRT|nQQzb74`_PbS@1o&o zc+)YZgP>tUh*ftIcTDMZH1xg(+b_+Vaj~>O!y0I~#?zqp9+X>S%rn(J9%$zFct_w7$v1YR@oUQv_2W&tCF$ zmG(q5ezI3|U6>43>)a?F7VR6=v+X6P<;Ri*iUTV@d9V6+qSwFf-H0La;V((YX^i9p z%w@jJMb}_kROw&hc{zN51ATwj1YJix>EGw(*Vn)M`8v17bGenp}EI1h?74wPfL5oLo9Hf-8GC<#bfx8#$%4FoG*6c0#*~ z$yUJ~IHh!41lQu>f*o)j_+v=l|e#J5y|5xlwa+PBp+xCqO3+`nM?rXnr{R!C6 zd@E<3=}3(WFs+SR(<J^P~E4e*f&zRWJbH>hVf84VC2)DOE zxs5611@?`bwN}7`M7~sKQaWfLTK9-2TkI^d)t5q}*1f*~r}=&}{OSeHXp;@%bxQIbUZk$pYplr=QGG&YJDnAbYNjSd` z&eUe`yo=YXjlPX9`8M>9Sjs!(CB=_#(-iZM*zR>cmonuaKFYK@{Oj}lyUn*VU47r= z=W-+$txcnDk{wo$huxlsj@NC2oUP^d>e)N~t+&PWERBi8e3Gnc{nT~H`dP^b+>?p_ zDJ~N4uZCPxt#!=(6_x|W+NS^OJPj?#iuQ#+Mn7eP6)rqEJ@-WS3HzqH<|sexdfu<~ zF~I;!ZrOlr74g>KfWMbLwaETY-}_;_26FI4cF&2PzwZ)%sau%M9&^ zYfpPTH2AZ7t=)}}FIX1hK0HtKy)xnU`+b+rW?rj&d_sGEPgQtY+pwFHo*nR@pZgZ> z3%OCFCF=%1k#-EOqbJ9_|F`Qro{7mo3v`z!CD;Y9N>1h^J7;ir-}Iz3_@9-zCw}&UQ#z%e`6Hbo zpSgEGWJmp|MNbV{ERO|vvpp{yk$EREip9PhdBdm8%9!+>`eb`@?MdkenZ6X^vHJ2g z-+e=7sO(8I6u@XD7du!f4i#yiP9bj%KGliEgCFH}x(GP?AIovfi@OnFvV zT1WONzZ6-hl6}e~`?7Ol*&kIc`?gmV+&e*^Qnby^OiF!*l%F@u#B`vHR1!e7*l7-Jl#p$-VqigC{1e`O`XEa@k5w zi!U!$m)jgun~E>bW=xRP&58S_q0J$1XztmZ3i7w~zfS&QpEs+c{&cLZf_^e3Cd5kJs-W zcQS^eZ-wa78pgBS9c=^e6~EXcitA|Yx`a9WDPQNEYGWq;CiQ|}a7z?tQBJbahYp(M zWAAAj$k5Y%OkAAI#Rf#1^x7KQdB1Px4Dg75#%sye%xc*xz<=dwmD$H@X>jkAm~GzR zVA<0nFYmq~-$LKu*BO&b>e5&33HS61PowAa#?vcntzZ_i)`~}3YsrIMISZYm@))t*TCx1vbZFa4@Ts~kPU10mF zRWY=OiXS5WuWuKHe1W{jgIyNR(UY90zTyo(#}8G!SAH0LFntyL&g+qr9muw1_-wT) z-XafcdCw=zN7+(3XG!k_`Iu}Kj&0z0+T(bgr#nGDEv`V!{X%G+=3`CEJP!;H^RCN} ziDIVWm&U`M;kPXH>r6eGWaEZ9%9mGv({|YxI4Np(QN4DF;RYP9q+P|mLOuGsSo8

    aGX$%mJI7Qq>A;EoZT<^?4@I=KNOph=v7wFJD>gLQxA9T%1YYPWovrx2 zbPl%5ipFq$4zYQyH7YB3A2ZDVVvu#oFnu#xc~5EqF{+T;X|VXGynnPzo3-+P0X`6mOeN z@qR4#mRqayc<^n4zAaE+YwCQp)ro$Y@8cj-Scl?s!$$j95qqC4IdE?B`2qOJ;;HsT zTW0W|HPikViT5L~Wy+H#@_^K5p9e4ftDK!e@}YYSwt@8x9J1$^dj7fcwt>;dd~)lo zWc995P5<(_Gp^Nl?ngbxI%vKh>#4)vn7Di#(SXfay=Fu)>3zvJL6-J>lqi&R5Bo>r zzu6-pr=*5G@+Eke%0BkRdF=IMb3$^Am1O^eeyr9|NApi{bsJ;W0+Xu?rk8gAE}8?- zB73h2=0np<{{c*x$2JFmJ2VS-^YqfQ5uDm912;Ac_t5mx&m*{H9!`2ixWisjJdcbo z@!k+N=Gn++TgX91J~Wr;lg$U|QSD1e#^-w;ECqikmmDAM%XLnL_wir3#AR%+?#!7*vfHa{ zI?X-c%%=M&aZ~-D2<=>5Jd^h&p=mV!islcoiAM z9j})WH?i2oB&X-H{CXQSnEybmLi~D*_=QcE@=N8OUzd5h&!A4QzhWOP*o2yYH+ow^ z^lKj|_JNni`~!dBpXRZ~<5=+pUoT#(dOe)@*Y4pICy9OMGc$M>`f;&69q`IGm5*Ex z?`)4(YropB*GKIc2v7VxhwNEoZKlvp8J=oPltUHP0>#Z<*j1SW!M4>L zc*etjN<7T)I>2cRw|cl6JY1PrjqMpk@r`6gGN^rgYZu=^?QYGq8^-us9^ZTFv@1BZ z`>==myMUMeAMs(+5d-*zJ7)(QjCDiveY&2Zd-N=vpAfH2X&m3isd6rOwm`e=Ek@~{Ty1YViKh?|CaRGO*tDYHOS_AG4-nTHlA=!FIGU#ky=m54aA%1-2hJn(F>D7(`U@Zoc0aaE2@G~88D1D>p-PX zYnUtj^jC9#1bxytnXdy(k-4Pjeg65M@bC3pKaJxbEoKn$_u*qoOQE&b+dnow*l=0? z{+!r(J^p^rxAjYKr#w8}>DqtGwzv71(y9B<-ebeGx6Ze>DQ@p7*WS0X?e!j0YNb8S zJe?;V)a&29!?gD)-`*Dj?l8{C&;H;ZB0rZUgW8wL%EW%PV3#L@*|B@CZ|^4B3*)vj zv>oOJZU6o`WWdX=>6P{=>n*<`o@}zDYkv=V)PCBQUvE-<9{hm06&q4(&ijNnv*w)X^?JPKJP@rpYIkq_ z5-ouqtv{kq`h1@C7k@*18;0&9gI}fo!*lEFMApTKeyv5HgMO_=(R*{ouX^yG0)BP0 z9=+1O=$x?7N9LZ5VJ&(4XT=litO<7@i_)K82|Q_P>scA?4Lv}4ki&&>K8BaW_p;9+ zIqZn)d|tRT7g%?eX2wi0TH{~zPK9i!QPc_YS`((##aOjpA7u5}t1GfPyHJ^PlGR`6 zS+I$G&bM^K5E-Sv@}bA1vW{G2Xq1fpK=?8;`Y(Q7#xis#c*$d8krzXY4<3FeOG$KTV2#@T%P1F+f1cPJ3=ify*bfQkLo&$ExCeRl2n7X18+ zaev+8mVYalSU<7a#r$6$41>1+MiD&&SHJ_aMa!REQo<6THS+n*rUjJ+kv z%Zh~+y=pPVjgf7yc_SNg4Kd`{w_XS@WIuk&sC`!B|0)}ieF zaMIv>-Rq*YOE!biJ0&^5ctXAB{J!!Pya(Ev8-0`B$xQWy$D8`M_`cQh@bdiIke|0w z`l2~mV6>Z_sO&*WKCXu+r+c0}1I@w56`xZ-m;dX0-&%lIJo$+LE8AdJ2e|~;?y^1D zbK1bT23tn9huWW651zfEha>n!9zMi6Z7m4+8P_ADah0FjhaawSJ;e7xK6n_{c)vw( zmtga}+QTvCwyxS(%a^B*Ij>{mSnqR3)b`oMw?Av20$#`m54y#C$Y@=#Z={5E3wp)# zZPb0<*VX>Tuyxssxh}|eGdYF450LZs>VLrZl*e}k_(Z>AvD<(bFD~aj?@QGV@bbkL zeWRJ7Uvp-A+d(=x#E4Tr+^;#$hqZz>wdTbA*P1h1_%dtG7ejyKpL<_? zOz2aFcJ{7TX^iw!+gdL~%P-KKb$xJ8TWYiUe%Io&){FC@QR@X~R4ul4JTL0OzY%zJ z)^UQ(@|xItO?vmq2j?s$osGnqOFf(`hi*XUDSn|f>tO87NUqX6BldC(3zoF%mZ~%FHQ~ry2M$#QtUf**bi5C3ce4v6CV{u}`}7 z#bZj#%jlf&?ufT*?ESyrR@OVk7s7hCRr@~ZsDgYc-uH`RvH?!M;ARi^7y2tW(-ru$ zT7w2CtMV`L!%u?_?B#jlkIpl(901Yde9$e$)ssuF2WClwgE9M?vB>su8}&`!Qdd6V zr(4k%bK!|>!=N{LRzwGlAiw?|Pv?`=(_TT=4ma6Ho>==$*44*Q_tU=acYT|Ew6TWv z^lnGiH@?BcejQl#(Z(zI!NRXtmBwVuoYF}8xxx3d3XXYcaF-^fk1#&<{FmjvE%_W_ zjAlgii+75D9Y+5z^02E!6ZZLL@3W+1M!cfY<0)&8h_g)N_v+-Q*qAY{I>)4n-nd`9 zAN8-lL3aE*6k&{F-%NXHw`;t7JUrb?gXe+fHLP`WJk9UQ(5zUw_N-fG=Xyl5?zO+Q z4w^^vE?~N!b*j@Rl11gG*QNRJIi)UWP8xlD2>!HG&I%bC$6#Cz8D?Dap6&&-8OEih z&baIbkLKA?9@gd$@jm6C*W=yai+6tC8N4p9C*s|=;oUZm*YX#&_g;%XCwkj-4)b9q z>x9oo)%yU_$1SZD{>AUq23t<@;PU$-pJTW^l;XkZ`ClQoPkCR`XIhJ}_gtAs;848Kyiv;gH_@q{mSRIFb)dHJNO3c?OEfR?&OboKgXL+k#$G zzhin6-m~OPnLWQo9=v{(EHoG07!2v3;5n=2_rSA08xO2~joWZ_j+s&Vb*7GuwXdVO z@?*u{VqPzsQ+ir-`SqhFEzrItOZ&v(Y5z`!juz4G>xhmoXX*IxoYMc=2Ri;aOUIPq z=~z>X4qr!fd^$_Vt#eAZ?E@V*XX%(RJRKdi=-^jG11# zJWB`jdLeVSCj5PKN*C3lgF17mW41^fFF;PTPF{k}`7ZNKx~v^KHI~Yol#VD%|1fV9 zYx-dn&rRD$_vqc-&&))xO^^1rHQ%T!-2d!x9|>-wL9xi`l~}5DmdVdMDs9T<7Y)7G z{F)mk=U%6Uwd{~;o^C0&9a)+>JWn4g!qW*^p3WYgr;W9EN}ZIa=6g6@9&(khr{C}K z{r(+%d?h?Ry$(->`yC$l&%(IMUl32dzmW2@v=^Sz5Aiebbd$!sqCXxg-aM=H_!R7= zuuqY5vVrfE!Yx#u--fZJlb%JVM{?7BfPZ%YIVdcsoZl!O<&ZJy;+ei5_j`O{J;82T zZ1N{suo3$b;z#Jrf1-^J|1ObqY@x4_GtlYxXm^f4+V6!lv5ZVhrK9{yDOKFr<4l!vjj_7oRmEq!K3^;)_RJSQVVn|-~%RlCy}BW%H? zA%40S-iEbzbhP&7#$9ROTqXx_s`4?7PS#{A=WN$dZsR)E*@3N$-wwuaG~*ZBetK6y zZPXfLjZdMND@oqN8N|}D2dWXurI@`Yd?MpORhF8NKsB+{4PRn_y?d<8M}MBz%16GkYm3M|$5`u&FQg z%$(A5zd}w&dmBl3WOEP`@NqZOW!r!WawOf_JR#{hOMIvWkL>@n2K-6&;7>Wc^aJ2G z1RDkXrl)CRPQ5zsJiPSHOdZqR)RA3Wldc;MFFlm0vkVz+p^oysYSy{$@Y21RIxBr0 zlRNs~cd)bfUhU=lDR71P5nna-PtB!T0NhZpnyzKh5o5(!S>Q+KBc(^4~@<*Q#@G7d9*RwyYdOaHMkd!kp4O zB0kAK>?gj|GA9}MjPG*_JM!4l8*0HeBm*DM!X9#Lsl68LjATH0MO8E$d2H$UTClT| zfv`W3($IEnX*RGye`;(l&*H;RJsg#_OAuo zlnewJl6|CcxYm!uY2c9TqHJek7s?O+w|`Gs&F1&cX;=ZwL&^ser$j{&3}iY(r)}6 z%<8kDbVk2)a;@{LRbI(;BEN}yqp{iR@#5=CcGY$o5?j=J6+e98`RoKpmZ5p?ZpaZ38|Ddu)^idF#{u2=I--zbf0#hmS42Q|*MD zDt&(>)6So@o`|*}>#L6~y-jtzE-&!jt$4b#8V-B!u+rHPoNzRMd1TLV@IJ!#Q1PzA zO6|Y}nYQyrrGJ6dK3f&+1BaE4&%oN60Bmy>cJpDS*%??{3xKuxTj|q7#i#iGUk29J z0AOwYM*O_R^Yan<8_RC|pFN7|@#MR~qrgAhcy>`I9?vG}r5fXTm2dwx;BU>ggWi2% z8#*t<6E&XLVzJzOBGd`v`OvYY?bHe5$=>BabJK_{kG2#y99w!CxOAL=Ytc9Xo8{3d zp2jO_EAWN)S_U+hIc&*bFX?+L7X^BP?6V#`Mmuf$`#4+;nS5)gYxE;}E z=N5<;nz#O&B3Hr-o9B$zncfyQ*j%m@_!eN70vq_6y{b+jhi!A$zHh@OF}&=DOcP$# zq3!7VfY)F@Jij#2hQiZTRVX7+>%t;E<1^|IPf*@jp9<-|WZu8lLI7a<&am;3c-x zPqJ-h){ZMfog(iJXXO1MXgM!D4>;$|Eo}g2*f$9CA=Y1S3v~jY-ZZ!LRn_r(8RC)F zqq74X{VwXGvds?ieKwoyXyv1zALiuj+p|@DUpBY&KlehX z_Lr?rp!36XOE=b_(|j2}K1S#2QKdb-!_)b^_EzYl`Kf`<1#V13|C?xEI+|mr;5Be?8g-z5f z{MmA1C=)41&gO}yi;$V{?E%SYKjWa-W-P1sYMoNwZST+f+nq`2lZq_{{5f8R^iR2jkCij&^bN_Ky%YXhR z-A7s);#`c+kmr0q$kp|EiE~Srceh+Q9KK`r6``ZX-Zo$i=?VBEl^2JiRPISCi3_7KYd3fSJj%T;W z`TZEDm(g!iR!awleq!G&HXcRuXqCtJ)tH`@^GXw;XG2!L-;xY|A%;V5jjaX8yCiqT zaCglsH2@dS7sWMg|88Nf=hhhZ;d!M${gSr5T`$^Orrxr3+2k+p>OSa~yH-9^kuP%C zTz`Ne7t7um$->$h7drn|Z4evnJ%D%RYRMz=)g9v_r$}}}EQf}Ra>GTAPrzkzd}=ay zVcd_+^Gci5k1P+#!9O>KduCqgTeaZGKR7LhdtqMbVZr$ry!sH{p9y@>w>V@Ew5cA? zjjq;Ya9)h3Fu$}0JT=GS^juF%413J{((UzN&(8Hsj$v7=ZUz=zKTrIzd93^;zVl{u z%t;2x`Krh~YgmW+ljRS2N^wm2m9Op59)125yvti--{KVLS3JhYE*>hfANfZ5uq3?m zgr3oJ`8sz_b1@nC;nr@IvyNWE+V{V-KfyR1BYf1U`L69od?D4rrqegWe={*zrI=M! z`|RBvU8ns|4AcJYzWs5b{V9rXR`$WPSCCxCchREuzfb!bSN*DOsOTNw8nLTjKPkql zI25sqRk|XR?o6EvbM}sQ;lhPg?;?z+9l`Mq{3`PM1S9_}Js(H+l6B2d!L9OmIorkd zB}Au-twk{|@&*U5$?=_yq!ivOPwC71_}Z7-2FMk9SoIZe(;4|Y_%>>|Z~n4_YliN@ zYZh|0ddPVrClMb|aaGxVEwY)|yRdr1rWG%2wLQ0J^K@34^q6hcr^Z= zWWLMcc;1&=8Ecbb=@0rcYae@5dyavILIeB5(DV%Z!}?~H%K26j z-x3eszH>;?GxlFPybvTbFD8rr&gk=4>bLBX=rh@2;u5*3d`# zj(n@1b7Pu(-T>oma|?YGXjN`?FSd^9mS8_}-^Wkir?MPn#?0ha^D?dL?6D!`ejZz& zvhC4t?Fsg>SEu%xe0)sz<=-b?>3+${*19Xv$8AgMx6POoyi8a1M{S4k%C^mz$9;_H zmQML3-_JRM@8_)J`#Ga_{KlR2hMuX{k9xSo*Q#&vfNPr00rL9E@UdRlSfi_NW2^_S ziPqT85l{4f3-Cn_x5R zUcQ5DPQxAh3c#mrT$*Wv`*`Uy@n$gaS31@HOMf!% zHT5U!5c~Lp%eMT_t(zx*W7o2CHt$+CqHJrFbYpHDbB8(G{pGv2b|3WcuJSLQ+Ew_e z*W1#klM;6(p!9HNe4YLnBEfX6Z9W>7`Dbp z@0xC9KPC4u{!6D&NA{An8Ouh_)e#@Xf76e$fBalc@kR=U=N0J*)nXWfW(Lb)sxg#w6tV1^dLt?y{9zS6=$fU5lRi z-mXR4z3&8%hUiChXRr$%@HVQAlkpJUCcn_ni=}>k4SDWmc&VRX+EWYqZY{dQ#$GzQ zhR#jLp7qPdW-MdFSZM683j58{oi*sWC9IRcXKB*>(-_)X2TqNB7AEm@r#5gcJirJ~ zj`{TLa%U4uc5Kb^c(b_EanH~#U1{}@bKx*~d$R8%-I=ip?}*$I>8nQQw{|vF-aF-c z@OJjUVl;X-Bri0M$uTFp^35-?mo8gO-wxN_8TopDKeg?UCAKE(zAJyRedAU>g1(`e zY*=DzQt|jprrsa=FBxUd$saS_XjkeAo^o6F;F5&WFt0>UfYCEs zH-VKeG6I;jw7vE?|7}mc(<}Hib`!<6k`WzS-vU42ldVT9eGFy~d{sUWHog0HM9!~Q zT9eWJEe)0X&Av`Ap1 zW`FR^XyBRv((WYR765VvAiG zzdSTiXIb9$Gim$$);lRzS)wuHD%xY&y@uzKUB#2bbCdN(2T$%)TCWj&ioe?PCMV;n zQ>MOX93t=Nhady2iMzYno7XFEM=_W+?Vn%2opDXZC#CC>j;&Xi+(rF+8Ffz^QdhZ} zqmaE3CAAyJdES-T4dF7fwu81fN^? z<++LF<&^bq4F9bT?->hzb^fmP;u-Jv5A1kXvI@OBz`L^pD*rY2_?+aHp1;0O%BA}O zx-ZX6EZ)6i7IMXRJsR=1&d4P@3%MH))iY~jruGf!XRZ3vef^m=>hsL%Pp{NpbexMt z_S0U==o`;n_SC)aZOJ7)x?lO-8_#84(I0pXpA4qa-#7UCCVvm#?78Kl0YAatPw>wt z`g`6LG`lR|+3CtOwWoMJ9OfRQNS=~9{^?>^9Y;5=0@WS z71;Z;&;C?-b`Q_24t+|xu!+Pec)f)HnC30|10VD zAO5b6>@deAJ7eN8EoNkA`SSI{wfoyFzZ)w2{@GsIJ!`mj8Eb5!!KCeysoL9+oDmOs zG%K&q(SEOVA!Chy(6f!PZvV@k+lQMg55(=(m@5f!OX-W;Mz`;?HyX+@4a`T;a9BMW zysTBxkeNr4wZDo6+7J!7z0r`q6F77(o4hN&PTnfHZi|iY@Hji?jn)aCUr*QO*Q;dL zgfUb+$d6-oET4+`==-pR@5P68n=>V!TjSUEm4Bl+Nk6{~n$i36pSm;q&|i~o?lhbOz4wx{ON>A|tY+!vn+Q&{cr)baJyE(-^XODEKaQ#kmn&(c3UbK5ejydhy z-S%?Y%!M|HXZ{s!ez#tm@K*gy_v4k@`G{*%F=fea*~?4XUoU^7G#-Ly{tw3&8@Grz z_Km)nH(FmjZ|>X+omJ!E=_I!EX!2C?BPo4;ZVWpfQJWumIc;i>?Ul+v)aFv!w0R)@ zXXa$EVTpwdoC=)c7DsVq{#!1L`03&-QA{r5XUHy-{?(k6U$ZBl^pwHF+!`Rxp)%## z4CI-UVJ^ImHVPw?ow0r>Q_se4Kjxs{dr-X`_1f|s=N?QQ|9l{!Y^3PTw~;dw`9PiW zV;afF8Br?mKD^{bbjT-ME#CyYPkxE6L2uw6*uBv&KY(ZU?%8zzU+)m(yGSP%e6TTHMJ9!3Ud>s3JoVkn^K zOpA2c>ipD4QyO&N?(fxS-FNzX^;h?s{5|`lu70zt&luQ!ySvx=(Ypy5$KMQkMY{fm zcMg?r?bEeFzu;DPCQoQCe4F3Zf<2^qE(mriu+|Un_sS2}cjEDNcPCe|hI7p=haPz9 z$`UKnGuNl&3H3Xs>!Lbz7RUSK+Jjs;(VH9d^6=9lHWkL|ErRm~gmxO)F4%0p_G%|CMO zVBYP`sx8GGb#{xltKAvLo(E~%(AnIa>EZ2o-2whJCUVMt%=iHuQ+aJ4c?SEbE18eQ0zw5Oxow5-gu}){~!00UG ztdF*7>iRYLsk`~+CVSt!TaRwnHRyfD!`*+(@q}-RJ9(1b=zXff4D2gxNWBv#yAhtO z*bwXk>_YhnOG2)*?#Zc7{Mo_Siai=9-p5~jRhZ9_4D{naw4$%2TaNVhkj|+oNXH)R ze66m|3vEwN>!E68 zg#G7z?Wbh%(7n+RcuD?8;RCO%pOQy=mzpuMH5I%6n|$lu`k^t)_$|^Q&Sr`Cf+HWL zJ&!IKgD%OZc^=n_p_1RY0>>0>K_)}&*%Q==pG%A%u5#Q+dfV| zxp+!<`}xF{S%bV@46TT)A%7vXj2Et0h<2kI#*}#Bv)~cOLpu@6p=#Kkp^^ zNyG6|^k`fHPalG(y}VC2+_>Ew^7T6L3$Z7}uWVc-%SV@Y1Uz%!WPpBuk$QUfBb;^L zT6DV2_?Cf7VP7uea}ZwR zOEd=YJ1QYRc%{eRC;Z9gt>y8Rv53bnu4{TtzN^>ULAI4gB0BaqR@w2ogYkO*UdAif zgl^40fBjC*=Nqn_SRP~(Ua%MZA^v3J=H(&8pHewUW9$`KlV5P^UT{~*nx8AmTVfw{ zkeDodzi-HQ&sXomoL4*vpV7Yc+aK12ndm-r!L*<&b|3a?yv)I+)Fu3b|!JdbOub zx;4^)>(G^>(UsxM!+N?>a4AfrD~)C^vswN6*Wxx^N-mi4oc^nEE62=uMxL4UvUF|t z9d~S9c}LH#m3RDn*D~U1djCwZrC##PvU+z%J{bt>r`FZnt(Q!F`r>5Ojy(2T8~Jtn zg}78@Ee`NOS6iR__-pNn??-T7EVy;IcNRKn*3kLBuk-7z=tK22%%>dlX&dp!8ULx6 z4fM%w+9&(+thIaE^Db9EfR3TFLZ<+ED+BKC2KI{|NJRcXEJqu$Brpf_dx zS^8D8?%3+Omr!?M)))14H~ZMXogV{SOQZLZ;Yk8d5@;9inrGzLUuYXRn0t+{Vl&+% zeZHFFWLf%0Cq3l!RtBKjydA|U$A zp1iB}L&1Tr(|!f=7S00N=+|WA58vDNDtng0A zYe46u^((2THAm}Dz}5JHsc){T>)RQH4=0$$Cip_V)@uusj%XY;x<5Z^T`Ox^EA8~t zPM~2e?cjH<-%Ku7x~{QD9M(a-AFOz-^0_{EkH5%b%xFD5-)4jCw5a%eRRo?`aH9-SNz1+?|z-j?ZTHNSL{$9Yd>%OTKNgu7d;`Y zpNt#20N)|~{t$LYRo}99z`^u$613RZn`$1j8*!hL1M7K6uku0P`9j&s+ISohwx z+)TZ<@~HM>D&=2K%hiW&@IcG>ZtyC9!^)5?%|+%q?>n5geqHDJ>-qlq73*jZJwGY; zckN5_By}mpU{3Pa_XqHXfds6aE zlX2|Iu8=1IU9ur_zVE#!wSBWNZQ9h-U*SG!E9#x%Zz>O2&-GvZ#DxtpwD4UiyluOc(8Mg?`GGxfRnLkp-x;b zIJH&wepdVp-?u_L|Bd!ZG2Y79s*Ql_xq!=$yYcYg2p9hi*TLXQVO*@h^`{~e@|C(X z<2uUsQR68&>6=B44f61n3!Sbu9Mmzn>O6G)KM05C5plulxF2y+`3jt|<9q|%GtO-x z)}njjer8;G4ZK_)`8ae{^s7!aj!PY8a=W1JeFS_yRAmzaCAF-+TWJ=cbG7JGE8wjQLUY z<5Q3SV}hNW@_6~9xp7C@JbE^b6M6oRn`U#t*?6JM%@5HK`WE!kui>T2f*#q%dj25a zkGGuMtZj!rPWypeEgkLkF7sUbp3=K*VJwM}OZHN~RQJeQ2ePO4BJ1__EU$Aa;{|_h zPY)mTyZD#HD$M31_Uv?++pCFnt>SR(7re4I9*^2Ee@A+ZM;Lhoj9b~LE6v2F0ud09l_4tqwn%4 zMlXAe{SDdO1#+N?mF!I4Pp2$VK0>XW68tq=TX=sd_-=e(>m_oPUCxGb7A|GKpFD=u z`Aj*v46JAF{VN|M}H^Yy@xazzF@?e}@(~KR5t*ab? zm@n8G&xIU;Kc6pqSUCdGnTUDq@#WVJk~0zBGjRTrd*?v!7iceN5BnXOJ1M`g?F)_g zAnoK@us(=R*?+7lTU$kEHkZinmzYgF`>i$WO&X@2+6nph+4h=-tH&Nu)%#wZ>Td)2 zNdA3O_A|8)u^svN6|pkyZAv!O*XGuP-1Qv?xa;f#-Sv*~?s~Vs&OWF|x#XHVEzdT% z|4%pcNcY`>PsMs&?fY;~9M)`A(~q4OLBmDR&^GYAd@#=|op)b`9;;6bugU8`)#(Gr zmAqf8XYys<&Ah7F4r3Giq18X&Ofc>>|B&|z?$|FAZRp%k=X11?-Jh)44!&8aQ{G5B zv9CrSOmlPY#r%r$!Jj`= z@@{3wH1l?U{Hh+UPevd7G8oDXW)d*|OhBXMwsU$~{27|!=dwKglulqCDPB4|<~3#G z;e*C_k;eG8@rF})4Oic(J>8x@;d+qo1nXHU6UdS7!?^v$%S5#g8oiTFE>iXkt1|JO za-Orba?q%2gTLa7+kKP2j`!CI{>u9#_I!%J7X5XGzqWE^?lw0zq6dZ7U#IwMkG~fE z^_%{Bi@%oq^)`QP^4IbHI>BEj`s*Y9dgCb9-Yxz*k^ZUuDgIjY*BSoW>aVl?b&kKz z_t#VX^+bPN=&yagy=VQk-(UaWuLJ%%=&w0XPlLZU`s+9M8_>I9zj|Hv-NNb|i7xaB z-z&BA1A<)J_1O^vcI_*;>$Cpa@2*|wfTV9kN#`=_{jyH3+eaq@pF1x;7uv;nk`EkG z;;`Z9ylBeN$2X35@73JGGvy2Xj%y)Fc0TTHxl|rY<1Oxz$}{((E!5Zl##1}D>U*$y z7w3K8G5LkYr#;U8Fh3|$?CIm0KR!;RZ~Td#>nL08=SBAnmuI5=bJ6yFkLPrcrxzTm z^Zpuj^c_Lr{Cen5)OMG?J9)~2(%mbu1kUhYxuEp+fY*;-;n|bZ_*~iJm(DT%(EhbEvuD#q`5B!JPrUT*1J@2- zGlBJo@9k9CFH?8pI}Y>_*XrG#lt#e!9J=Nb+PC=KPe!g->c>$zi?$ChT0(pc`?~P# zsXZ;>+kwQmEZ!FOZ+PDLz3aF3Bb(R+H(7oMFlA(nJ=C5)+Pt=rc=6~q^h~l&W7MBd zN=M|9ftCj8X1+NJP2}f2bm;{XO3%I{S=A4puvv&_5wip5A+syKq`vbV_b;|Xo~G{L zHE&t_(z_RvtJvV;xA}@)Cp+Y^eDnH8Zp2^cWK5aUUkU%2*Nk&@?1=krVszSD6#S?Y zhsJ;OTw|n|1ZQXQtAV34!m+Rh4xSs1&IrfBA%=u)lsnb(QM%ik*RST?&>UyGe3iah zA0{G~D&u{+F6@m5Deua&pQQewd-be4E<+Ei?B2KxovE^W;xhED%I=8E(7h^K6_=rh zRrYDh96gP7_&BA)M{N0Q94$WEram7d9F3is;QgPw5@968SOzOGOJ#(18V}n+3)aX0U4F~pR z-7&yEOmP%z;D~&&x;U^$Qye`ta76a1aD*{f))bAw_*2vUXFHb@J#$CkA$F7aU6_!8 z;eCc%0}M8m!A#7+Fm9g+FxXoLGbID_s*bH62{71RHOCA8CGBIeZRmJK{!Lvz;isfH zX4JqD`7w2I;K!smT5I6oxsCbQVa6OkCdDzo29C(jiN}jQviZXO7;AxzVf)4F<(s!^ zjUfI%Cd9-wR*IQ07vj7?*}-m%+_SJ(+Z@K%*GbDY77?zre1Y?;x@o^)`DD%O|D8D2 z5V|z4q3f&=6BI7XLxC>;ezNR_X6$Sy7a6+Fu2X)_(Dt|c*q~%*b80hQy!)%K#a{F> zkFP}BCyG{43FOlTVME`Y#k0&o8Zuo(H-M z^rzd~#x3^#=alt)-@$Mf=u3Avj~!bujkT~gm48f(2RpHabFH-wb#LO`d3;palDz-P zUL0#*JJ(LG*htE)l)Y7M=W6R2yzV=hJwL5&7w*nOhxESk*A*|4zjGJ#+PnVPoqFdj z!2M6k`VG>!rV;?o!odO)bpGugKPsFB52r-yd2`o%sEs(8kdQe-V3t7uX&k{*lq3T=TW? zP;~W$I5jpV@2FYX!cd0o+7E99*X4a6%^}X#w6a_%Lzh_YAv_26xh&ngY|;*a2(Hre`U1TH!a5(Hn!e`Pq|=aIM>*4R6k=L+WOFfUnLz< zfG>udn4k1C@#>zhp(kse;k~JHCJk}6fj#tBbLQ=eD{&2ee3#cHUtnBRo)CM`wa{15 z0|k@+=Jls)Tz4aG) zvGMYFRs}r&?(nSi-@h@s|NYdSMIkl_{Ee5nZ(4VB#nwQ1u@eeuE0 zH3DAcMh~=C$K~R8S%=2u3bfHrT&NXXHrIm8Ql@8NJt=daa6ex(^1nH5Q?S&hZx0&{ z{@(B!j>hM@{2Ytx8cym>3pg2H)vr4Hsz!W2!6!S4I$FmQe5+aE|CG}QTEc(q+Zo|M zcIsi_KR!@%_>V6$IsC^bnHc`#TO1Vr<98jvf1UmGbL2DFC@Wv(`YQR?x*)n`qc|JM z&8_Fdx+z;EvXOS6OJv{ZycES!cQC&KUfEH>_DQfkUwq3j&#~v8AMW`A;(a_1v=zMl z^i$@g@eZ1v3C~3%_EJm3F#T%s{R(>D*D>1<8*2x1IrMA0`h|>Izq}om_Ur7nfp3ZK zde6^k8~9qF3!VnLe-Z31+D*XuATZVs__Qwk$JYKr_>aweU-%ENy8QpbY|cLNai<}6 zwt*XXp5_0uf&ajNI6PN7bHFnk z|64t6v0PEdXlsPFd_)`kxlFX>J#8K?r4624INWn+e@mb(8Uxwh#&htU?VoFIj62@X zjT0;1rZ70}$9#Ox?ZyN3abe~;_apuDs(r3#jY#+PPHp3eJQw>^p2Lu_!+w@+@q8?w z)DeGp?_sz0NkvDQ@nY|!qN^H!fwop)*8$5rm%9}!pAh;lx-)qGBgkUJn=1JPzJdDU zfqV|NTXn8Lt^P4)F^%2v`GZY7V}6PDq>1k^gi?z zVjggxBqMKOB&CI|8LLD{snwl=!9n;WSkJ?&{$o8JQ$bna{n zYbH38g?xLHXWRHb=5%ym=xcLRg8h#iF~*yHyQ0DNG#D@EBf00X45-h*S7cQ@*e@9v z@I25O+X8O2V`~w8(f=XeY>wB_e6ziKyA3|*+(FLQu)c+M)VEKIPm~+|=n(Nj_QBe) zj&o0(J$>Hd_axLu$q0W?SfhOxe&&s|(0rvfB3p&!aB!9HE-19ZSm7$~1 zkd$(RZ9jgC$In<i;@AG#08if_i!0Z}{VzgWmh@!-SfA`M@|q>j1I^ms)K&YNx8m=*|3mg}ZC!hc=FVvCAFEvaFHh>|$?d%M$D=)Ot-PU9-k|b4ZNh74 zb@BzD!Z=F*{RCe1Qubr6p�dV!uTG!$6Dr0G$0-KY+FW4b}9Qi7SS=C7$;;>-{l* zcDwokU7^hC(`Uwcd<(qN+}sy=-h=<7{pt5|=9QO)>KG%j!4CC9@_DMCi;QD-oUWpO zkKy~PP3^U4JX-y_a&sh)jnrMI^V9LqwO#~x(XH5lbd>4A;4|VE87^-_ot3`(r7bqejV?i?BB)zRGh zybAgA1?)!2<|yLEDgPU&JImGU^7_!m`lO`icdnkboyGA1a0D8S z7ts7%rPmCGdD$K8 z13%we>9^Wi8v3QV+gP6$?P^yr*pkAlT<^e}u1cHbi7AF|1~#boxq$JV1Bso-Vm2%oEHmsq3G5a=`QI&ePduvC-0O4n@2u$ z9f{6Zjy=Nrm_23fGlhI4{bwFsL|wrpyt6{S)L>{w^RPf}bb}<6FyTx|bR;}(xjMV9MY&Vhuf5Z;qmi3!CyEzW*PCR_nLg zg1=R5ai6v&93F4lR)jZgD{4R6*5#SDf{cf;UKsii;mzXEdkTRsRrR4Ytv?J6r-%B{ z9JBWKvHpU3^^w)I{bA^D4fScSihk(Xm->27p=ST%`or|Uk@_~?$hqln*iA-&Uc zmKQbUoT2A-_G6=jIeKMS8>uf}qyOj*vz?ZW^m$*hJ!B)vwgD!a7u7bU;lVoZqt zxLhcBlb&@s+P>K|`cCEo=g1Guk-AqoQcLES?s}8Yky1bSDM#vmPxn5pXlPAVT;b=E zV$#MxXZzSWqCe1jZ+24Uo2V_&Rz5B1$&0UCt#N~^RH~5n&|3F;+Ls$Mf%HJKAFI!;nuc3T- zT)z0VR(=fSm&WD0UHK7|Ul^A^e1gFrPWjv7^5b7;kNsMpNF4lc*anEQe3{omA{Je1#$UZt~{Z9Zd|_GmH+9D$trT5EBKFpz2Se6@|kh@ z!>;^ylo#Xj!%s4J*1lDf;__9ld>iExD&<>>Bgt_@PM)EBY+U|!SN>DV8{_f^T=^Et z^&NQ6hb_f<=mhZmfO7i|ypzK%#ST~g9m@Yxx+j#s;L5*6`Odg}@d(4So^syBtH3|+ z%D+PSvvK*Vyum*}`7h)0MI){JpD2GiF5lwHS5yAuxV){w;6F$CkK*#pu6z~c-;c}R z{wjn26y+P^@)uqCO3J?xm%npAgTJ2gN8<9bEB`R%Uy92Y7YzP`l*`^o`L@}WzlU=4 zTcy0M(cmwqT;FR<;mfZ4os{1mm(Lqz@E1{Dipy_s|MqIwdl|N6p-Xlx#v>jmZ zzouL^MOyxXEAOTJfVh0gfd>C?lsCoYTU_~*l*=#icy28obELulE9F}IR369b@t>0S zu$cb8-~T;4Xkkp+_>rHGyocXPeyjPd=eLEQ#;WYEdmFceLEjt9|9f7aM~A?_WB4uM z_aT0_^6Tcef!|a7Uf@Uk&Unms3zFmcy@}s4ejWTi%kLq6;_+s#z5I6b8;3#K!mo|r z+xfkR-%4HmTwKk69T2#MUzs20My1aJjIM`JeoUQbG29|xmhk%!zgzir^V`5rFi&xP zfgd)0GL7Hy{NBWG8NUvGF`oZF|1W~qYX7s)^bo(z{CfHA<~NS=7JhB~-p-HxxvF=< z`uyGlXOIu{v2QTzBYSSI%KNAXztF)q*MQINKSG}EA!<({#4c|RF#^hnv9n(hooA_- z>{$F7Vgy|wMlc%Rg!lvgg7a^rSg-Zt$Kee%GGLj-~8)?4*I9Kg7$8zWs`EfPbs@23-enqztmyx z$M~_L1z5?Ue(5&?<9%WFY4v?L^*_!9k8_%C4&M~*WM7JS$J%^#-nU|VW%k-l-r0Ly z7UK5&Pl`#Yi+qX4`QB}KUeJCv@PA;OEQh8RPUdNd4YJNYY;}=~fbS8HPvyjgUA|Dh zdHoaMtl5_a$Hy^V=B-`Y$o3^!nlpOu_V{DmI=iDLZa=rH^3a*vhMT#)1Gx|TElJMd z{}}kw93l^!!i;w?AFe@z^3bbtX8v!JnSJH+3fIRiHTw99`Ai%rf@mc^{e+=uVAw(4Dr2tMVHAId(p&_8sDUE?-}<^aA`-yt_aw zD}1Y5^QZUHq$HV9ywm0;b=IlPCceqpfWDxdd1t!O`dXuH?SCZfPiW4BUp-i(lf9Fr zab8t~vr49?=&a8VO%;uzUG$zOzN3fwI7et&8|SdxH*KuWq=?%~$10*Jo^SVNWj)qg zzcIzZ+W%rgyDpEQWscLo)jB`kw;u6C?+NVvyqmqB zD~K0!j^g%DiT9 z+t^>zev)Le|BC887>%`JvFu-^`^aUzH}O&4BO-29es^2X=4AJA;(`8aFX}r|>j9ZG&x2t#-Cij7R;Dzzt&hfp^pC?=1 z70%=gdo;^JAL&DZeakLSpT1Sx3r~!8J(Ela8tU)^xv_8IsLp%&>FnQ_&)K#Y)oYvi z_SdwnbD7n)aA<58OXI2d+8_EL+tu&Yt_^!*Dq|0%H@>Ie)0i8t6V3zZ59egx?|HPy z^ZZlMv%tU5H(Zkg1CPZQ{aX2zS>tm}qS2ipBU-12a^qvAd!k6GF5^17lNWU &cSL=7t~Jr2pc`U(nvcM9#e7 zEK&7+1mC|d9>N);E$l}#AN4N&KGlO~aXry^pz3PgAio>@*o66ZogZ(VVT!K32R+L^ zlXThcuc>a}jd+~)`3mOPOxc3WZS_(AwN}uE{hz^q_So%z5#0m-+4CJpnvgeedwBbf zl$AFogI0#Tx3uyO8u~$P^?p=&4*uPl8ajF#Yl6;&kWQ41y*cO4MUicbEGJANqcuAsu$ps`Q*LAtE+~i zrH)K33A7+nMoaW=g^fRQm8GR1THtw*Mb%4bIor{4#&ERMkweAggB%(ynRg&0i&bssr<(CIv>%(IAm$rKbBu#FQw%iM@wz_ zjn3`K#JHr}Z)d!MPXm8tb7{J;(aNqpWEvgf}yHLn&SWvi;Glji< zB7G-XTCfS~#@jlpWvLFU2=2mTK-&F4-$j#~$K) zBW25h!G^^qMLwNff^C#w_vt$q>Gzvhx75DYr2gsPz-|~5)+uoG&vf5Uv2S03>!$F% zspy&7>Zg7y?dP6e?!Kc!ej)lKt?&M4U^v%NIft_8zw2q#y`B9}?xMy=_l*6Z=TY5n z96THKG0?1jN{*}O@O10U{cZ56c>E<(`BvYc&fDj^WzM!e9-ElDqp2Hs18>JGzfkW9 z8@}m|FM>1L_R-0#l-s#F=-H{1>%AO%b~X4t4vmA~ zrx_jN+dqc?n8VeiGW50KxY3mr{ttC;A7*D&-upj$c81xL$ru8Jkc4D1hL{;c3^71R zBWA)#6W)xxSVUezOk0BBu{qSE{Alaoz#)oMo)$&0NCvb{0v=J}a;9ntrnFI^LbRf` z*4YW_o(UW=oO)(#=F0E$z1LdLUi+Cn0j<~Xx_*D`Yd_C=*1Ffd?zeTXd%cDFT7d}- z;=SN{S6oBBt;$TjgR<$5yhj-x73-oj0q2eGh@)P(uHdWJ3{;tnbo-t%2)W8^%`Sb^w{q^`z{@B>!e@M z|2+3!nu&eny<@h6-S%wbp!y@lO9D+z&b+^Hau{DCkD6oA7_(4~r?~s)rel}fJv@h6 zB|nl^{DNW9<1=rPMf4GZ^FH@2J0E$H{H6A)t(pv`@>t!Bw}pRbgXsrtdP=s_;~s1b z^nmAW0~*uRZ96tZebQ5*&-XYRU8wJXZ#E$~feG+Vw4+!}m)7GHSx zbQw!7>l**pDePetybI|s^}nfW{QDv8?a8?8;CsS*Gcre>wwsY3<;BjO^kZx!c}}0< z*XibEr`6Ff><3f1X6(rbv?(EL>}49r^U3z12)^Qg#bg{m(&2Wd|7U-I)ql3b?*#1~ z)x9^xE=w<@{`<%M|2_WyKL6k6|3B;g+b%2&200Ke6ZV7R6XN@f5lb8+9&G=yUK*ZF z$+*c+WYcWVlyCp_)tKT~2|G4?EbZ4m>!P3kqo3^$^M5=ija}mv{tNg^oR!1gkhN{{ zLzGr(1`o<<53|t@`)M*x-TO#0JR^+f1ld1(iG z8l(#?(7@#2cij$aiyOn(o;J-%;+Kve-ksFn3l#haZ!_I~psHU%A62!P@J)NFv72^= zinXaz+QqDPz^uzOV};lC9HcP zi6akMfBaZAO*DYMmOt18t!K1+@FLtp9FHgP#m5_F z$Jk2!hU8efFPWAHN9A(|KU;8=|73JYb6R`6-I4y89e|d~ zGh*-9G@})|FQ1S6>;2hECW{5mN$`8|txjl&4LnulZJv2JI^&!=zdOgtkA1@yQMct4 zKKDJ3E%JSh%Da6hkv_uQ%~r(?R(l~ z|AmjEBbq;AtZ(V}`1C%Xj&51{eQpe|zC=3qqURlBUei5;L0<9C(in#)8iNDZ+Qhrc zJ(2OeilbkzJkA)+-HRdo!CmF_t66jMo9YSnF_W(rFH6`&*RMr76Z8TZQ$HqIm5hEX z*lfw2^h`F)(K_Rw&TKss`4g`7WXE`Z*~NofJkQl%nB3C;od{oK!zI(wUCEl}@g}Qh z;SuUl{lXhR%;^s8t*Z~z7idepPN!SIA?SmZPkvc>4t*wFdF9)!|5cOC!wdJzSz}>z z#nzb3@$?INB)I<-eQ7#^zC63%(JZuq_!71>(w8Xy7|!wu`eNfg(c9XH&iFGN?Hykn z9eUKa*L?G%f8^GVWoh`GOS;_|IBmoR0uCyld>CIoeEV?j+l^gg^TIb`5H;oKD~=D} z?#O*>?HZdNzO`1ri3i_(QFKt-qjh}Pif|TzVqCJB`p?>r&9r`1eWrY2v!&+Km|te! z+LG}u@m$|%@3x|+iGLqn)-%EHULW@E<6Fz$w!T+(g?cKay&7L!_x_45DjVAv*_?3C z3;P_$wNJuud!O^sI8$M41f1&KgIX`&gnLlIvvBm)c1O108xC#w%whk0F*<7Rkdsp8r8)7upx(fIrTf(>_^ZWD-nLYFg+Ng6S zHSV{4`L>60s_mgHG3JmQOXm80d_0ufCfZ0A;elw_=k0Cy-otn95j~`Pp4(Xyr7`Yg z{t>V*5iLU5tyY%)7Wk}9k?%QfdNUip7oFM@=GKu(wW%k}o$4LGE~&;o+}tUCVK*=* zZRe({4N-i$)aYozU2lifwx4?cM)BqNyWIo6&E0QqZ7lIjo7Gm~teCXg6#6E$v7Mjb zWOT`uvAsE}M?6FB#1pHBK2Er>2hnI{xYWs`F?d!l&#F^nZQ;OnfaC04^$Snx9zs6w zYmB~0v+IkKX6UVc33->D@0=<5X+99vBv^jx=Iku%(>Zr0>w6_rssp=msOFsDU@wr% z*j|{dVk=aiWJ&m2-SAqx4KXXVVNY{~yDx~Xh`!`ge=b-B?$^@ykgoa-Ml7x4XUe7EN)zBx?Yv~7^KRnLMU&3M~HyW({nH#(ZrpPGzSCdsFGpk(pp z5YL({U#H7gGkyWj*MX;aWPBn93!i7u?&?`EdHh2>B*gVppW-3HKeAV>Z8W^{^|3d4 zLS0%vA8-(D^*r>!U8}Oa4pHA8#(ipYSWjkpO`l`s=tuHvy5tv27mgNO|Gi85Ts$e9<><0>44*_gA(~}zQQ#Qg!SM(1 zqSp6TKiJG&EDb5=j%RCNvzSqcA^CnW_#Cc(^u9KBGnVaSW*70%6A#%L$`|-P%gec? zUFp(-y{WE+bo>!N9*39ai((h^XV{2l4-~IBR5%qI}dJI^A86*3e|ha^-Z>2 zxHwrl@epwUi&6CT@=f-0G5lSue!%4wUIk*(_KiMah(006bSCroF6u`vmQ3@#l>B6G z$8ptls^9kX)VGdXZ{J(FaNuD7{3j1?8+WmgPjxvNU;mGPvv<#9pEv(dlCI_pLSMT0a{mno_wi4@TbG!9c+*Kal`2}hm-L` z{Gp$S<+9J~pzbG>EGgDIS(_z`vFzceJ3f1PD082o+Fu4%_~#zb@w0YaJ-@xf-z86( zA<}B?&^g=-GCmIRqpD8MAC)bN&nvgMmA6IVd@mb6nqJ*kqqnw3A3xw~-~K>ni4fly|Yugg$D6D?(TepY)$-}ld!}rR65z1=qfXxk{%OTBVSu#Oe z0{k>1khaW9D0zlHGgz=X+f=ImZrScSRT3To>Dn(jr@| zdTmaaepr0c`Cc{S+}?@ySmTnu-g$=}@M9A0bg(f>mG64L!eSWat9aX>J2&gz+lfun zc%dviC3-AIH?dFFXRwy!AZ@U?<} zR#+rm;Vy0F*QPZ3vzvJ@Tqs_F2R5P}oUHsz%JiSOzj)%t0Flk;j@HNZ(y!CED`u6q8IpbTUx=*>j^gEJ zGrS-8lwVh5HbZ`3Tdf~hDdI!>Sb%&sWZ@FQAs*}EUD%#sVB!`1ncaBe4SXQg=Lwu0a(I zF4cC`Yq1!~COU4mR5mMb3yNMArT;vutc~#~Bb!ib$D(!FlD}^5gM((=`^Ne%hqGv< z^X_fz$M{j>CedH#yxO`p`U3f4qJfP;aor6^8XK+e=Bc$pA? zrQe?q<50z;8qqiYrIY*AmtYG+ykF@_qmvQ&KK4#N!AlCX#h0tw=M??g48fpGENc#q zD<5n^(&^vHYx+N%dXU`<0^dEH?3;WH*#_vY*hRxV4)^39;E=BUIH4ZNxPF|s>F3(n zU$+6?+zoHm!JBS)vxagT;LU32&40$5mG0emb9at6;^S)1o4Y-4u7NizN&7H%_8QNd zh2&Ejepi;(M%qG)6FQ%ZINFvFGt~Y%#f$K9EnXv9$aXAAtba$Y#yLmSc)8Ti;R=@M zTqa%oDKF`=v2$JCpu1YTRezDcz zWoT%bgY%xiQ`&5B_*XgQZ9pFPlkcq3=J}FE#SaZ8X&Fo_=WslOb_8178seDx4m`>F z9dTWrKJ8t|FS51A_j9VlWE3Bx(ZjQKvb-A|@G(ROd!}t=a1o6K|LFi<^p`FL8bFf< zkH6BbjNZd{PosTty9|b_M|D|!d^er-d=72B!^b3s;Iq*feN-KxEt!r=j*uV8gYkB8 zlI1bm039;EdOBFT^ow`(!;;-tzcdbZ^*CH*heN%>p+MQXaz`IyG00F4c?~Dht*z6m zaMi9r=OELeoyz-0eoA*~jvr=|L__ge?TvZt)72N5FUI#cMi5}@U-DKL|0ZwK0xaGQ z@1}qUdI{VN26QkPiRDavGQ3hb{j6TmSbXYq>DidETjL0KR~$ZiP5;Xr2Y$MrpDlmR?vs<>jlJ5@{WmryEcvxs=8t2uLVB=I{{Y_V zZ`HP?UJl*dg^%T%Z%_*}%!`;V$d6*2C-?>Yd-18!_etCz?eAV7-S;z+8THqF-B;j$ zIKSewlIxE}L+ktT=S`N>$IAXMf~M*pWIKVs#KYfCKGP@96O|1yX7Sv{89^TD^OUzW z+t*K-|y>F+ECHUAm8+CGF0T5GAhq~X``L+V<-IR zyz$+P39I)eDW0KxDpM9L#c80E@V2^$a(&S^8!W^Q1H~gT3@Y8wiCMP%3xADEBnSPCb<>|ONv2lU;CmfV6-4q@{2R^4U zJ8dvJ2R|F!E&g*J*t#{nZRkJ#_WOozm8=@t2GO}6AY;*;5B}z` z{5QqWGu=Ac&xcGWujEm(H>tiuTji5n)YbPZ52^gBCa3TDdSjeSzQj{-%=F%`bF_AO zzb4>$$5e->!HncZZ4pjEueDz?;Ar+iF$dY3Sg++HG&vdyzMe(HA^HZ>P2e3#udR&t zH>@tv4Vcz#! zWxlu9f6+_78rzqPamO*1n)nLiUD+Pl{660=+Wa3enGcF5{##>Mr=aoOdnEf;9a5Z2 z<+PSGDZI;Kx~3oSZ3tc{PSXFy`}X!9|LDQWzyIK1>HBVeLAsi)OCVn!PTevkcSyz~2D_)WM|Mv#)S!7CaICCyb6JY-1=y0G_$S(lmf8FnbqNRM5gh_v zHE|ZdPC|Bsy=M45oRtHv@~5*gd=u*ppo?JdirN|TE%bYDpf2+tuk?Hk<1EVOWya!L z(5dX(BpRt68?!Tyss9H4jlYs5aI^L!ql&S#^DkP4_Uc<4pSSr)!S`|}-%aZ{rJq@y zzOR-~S9e`hy|{6h4`#h`te5?oAMRy*Kpd|ltjU+(UEDbOwlUWG`{#H5+O544J^H)- z{=e=kx$}}W&Wf251AM{X3t{kDv8UZO-!wpc#pbnTE5$R(s>P+x#(!L0jb(}F>c_W4 z@vIW@Z04*7vbnEfZtiOl-*=zLciM0Vb@E+v##;(*&G@9{+Fd!-sXL*ESGzW}Xa1mQ zaOHsJy!P)-(&ryc(vJ{FoTdECZX>SPoodnT+(cp&*rBiJt-gu(#zn-2c1y+ zX*2$GGWKF+X}d|t!J_k(5Y2W#<>ZWdUV zW_U`L;hV)!p_PqukjZ_tK{UcIw>4--;_Ehlzol>Ek@@QR^BeQk%R`>8g&bd{v%)(i z{#%dsx^pROt8~w|lm5i=_jh0E&Kg7)-b~(_bzHky_el(~Ok8l^vSe)kl4Q)z@FJ#? ztxNRr!OULy*r4Rf#|tN2_n`QJt(m&U@0rF1sSRdJq+|5o>Jt@9$>tl-JIg~`WCJho z<6FgWYGRZ*-%9JH%)cpMr{KS2!E7KlEF0gF7W`n@sklE-8PTq?q}JaT9P?Wn`Cp99 z1it!ojSGkywWtLz1tV zv5xYUqPyHIzs9z}>u7d9v0!R!YyaBU!+d)O`|NC->+#9^$Dc(m4)6By=VJYJtA2j? z5c33Mn#0sQf&Mc&!Eds6zsJYsspwdk(hEY2TvQFc~+>16Gc&Fu?1?coV8jnN(`UU}%P^j&#e0&JzL{j7p@b5sRvDf3HD zggH}iv$?Gqu1{DSV$4Uv2YD!aKSS_4+2guE>oBQ9=L*KS$VP`dq$K0g$LoAsj+8IN zF^zYT&Rct^N9~KtPuOQ$!<%avOST=lfHK&5HA>_g5!$GIbUn4HFCb|cu)xE{%j zVEx`J@Qg8bCIjfI>Cko`kFs}onh;xmt#3zxI`j2dya2h%r>lNDn8Ny`JBstZgv}Ep`Jh$7xTT}V!rY*)E8I$eb{=|IM&86VNK3* zXJdaF<~)2JHvz@|wYvPX@1*F1al)gsw`X9h#rfoK5^) z^3WRDnS2?WAM`S>I)qCMQ?eiQB41YDjK9L=9?xH5K^n6dejoQ~A5X@!Ia&Oq@tcm~ z4y{6pZkev+*Xe5Ai_SUKzRJUkIcsnsKh_%9dLQg|v(|nTn|HEz|F7-rk)~v<@pR4y zA@<97!}?CG>4@`Wo=>=M8AxvoEv!70a|UUZITkCzSY!-t3PZ+u3^`@%VR} zFPiOd1!w#dTc^gk%I^H)?)i2uf%d*yd!UKNY}q;VzzTbTk#XAxfM2He*f~9RCpI)1 zS!_O)!4eMfUfQr;9RGAMu4BZ<{{*iR_MBq}k*z`2RE}v}gP$lgp;*pA+jSHXx!RL`Gu}M#;db48jQ*| zs(rFod-CH^WW&Ze5&r|;D@7CJrE~HJ{|0|>>GU7dbmt)ska30btWchtXuQE$A)YP^I$y7j@VuqaMxP> zjNZZTW4(T5Lo#?$pqI)tf+O&BmbuYK_~0uFzaM(tjByq1JE=$f4QJGgX8~X1Z>SGg zsxR0B#w||9fvx)L-dzX{$8ValW4w4|n=2bwL01gtz*FXs4X<#2H9FLMtJ5KL)b7GI zz0#P<>6NW_Eujm;yvKVD!kXoR_pO7@@Dfz2iI#2KkMXmzP0+fxJ+16 zTA118)`I#vLwW=0Sxk=pv0mBIBJ>QqVfy(#XA7)9rjNB)0Cdn8Tm9T$VY7nV#1f+2Yj;_1@z3*WojfJaUaQD4#bM0 zHL6AFWA!`%jUB|hvUt=RjTNvV71oWO)vd>rO3A;- zj8PPK$#BFTg!~-=_mH1&%C9vK9l*CTxo?7HxVpH@48>iPuVz0Kd(q_6l@}-4%UJCX zrh~KMLgL?I$3OM$mPXwnO|c$}8Ieczso%FW@^~L(^f2@@{P@-%+QGBvE*mcz#p@xA zFVIBw>1?Cy+#mI0i@|jrxGv^<8)f;=`Y`%7`MP0TV)3Z6fxXV-PhA;pr$w^RNPn;l znDiI&O^26RemnclV8|wtR%3@3vBq>=m)Z4fY)?PNdEzTohxG$XI1`ZPNnx~43d7DE z2{4Ml&|SEKYxpmrUhKimVQeY9Z_V%?-4ke>OD|v}C8riUM^~Vo>-V6U#f^Zw&HI@~ z3-Q^}q84V9ek7OyU&9%GmKxz1JlGCTt!{j-5DODt`xbY7eJyugv~$;mjme3NNvBm_ z-?MWqYxhsuSiICeD>YeCJ%z5ZZC+P(zN*D8NKf8gAdkgN$2RGl?mK6uFTBz2L~?P> zMeb}!Ti1wuGG@E0_8jhLuVi--`!fxHpqTb^9hu^7s<*$lZFFb_a=C(c;k1nB;SXO_ zVQq7THOW)=-EvW>^;>f)7rXanp0Uw$6b6)J*hKb)Q=du14--EdDSYd_sctFc# z{LtNdX@hjP%)Q0Q`1v=`!GSRYax%atda9&A+KVyjWfIiRiZF@Kai8S+Vqq>Rv8eLWQ7|*I(@!Np6Y>++EPK|j2PR8r&SEWxZ*ZHpC z3Ei&_J^(gJEqnHv!8Qw-S~ctKdZ8G=)Hf>8N>zlTqo(_ z-N!r&FC%-&Im8=i_lB-9Y@FLq5Mqw&+`HM)Zl2FW4`(u0<6|9nfY%V^jJC(EPT$A8 zh~C?wljab0?&+^s`&zlC%lQPW>GMA5$7UbI?f{STCkADEKN|K1sE$S0zz@>jhkFHe zPS;B6Uy1yjNguk}_o0H`Jag8!t?AK!;aX_I*itxM3x7M8pPUZUM+mXj+szx5FKTNZ=B+hf*5>3pyR=@!;)M3T)b!WhobJ2)>)KhBwJ7R{+^X9H>W#x|INVE7I(iR?YO;pEjDMF$#aYR*{rO^G*2AR*+lXq z`{9Mweq`TQy-L{fJGHM77+Ki}wyWF6K*@`q*R*R$a@Jzwu*}wfc*ckJCg8qFe#RxI zr8mL@^`n9x_oeGwop1IX(n|&GB5Px8d|7aE>*JC-`+WvDUU$IjV4O$uXj&5##@#0G zq*-0`qv-hH(CVJSLZN5xS;B+<%ly=|kloj%cg7_aI~tizKb1cZn{OU>#wgfu@znPp z_6&bN4GuAHhy5Cwou0o#E8ThE?ckt3OMGTdcr-j~EDcOYL!AvsJ*rbblNHYs#g$d( zo@tH`@&zQ1h1qNEOz2a9Z+jeO%I;q|D&MdJ*{H1WZCF8H#QLDlX5;&H*Zcldd1~Y* zl1+!>6$71&Pf9;z%s(SRFWA>!=;02duCbf(L7S;JkE>+U%g@&Lgn0n1P3lzL#34OD zHRnnkY3!)!-frb_iDWs$WnK;!>~z58XUitR#biCH#bs%IT)ysc5iND*s-vZRM$TP? zrX~;2(&P==?xd}j20ixpv)aU)hrmVW(&}41`FMAjgUV#$+R?!}_-o9}cxmiQd)*rLitF6F_0!k*=d}%K zWwU?QnPD681;5N3)K|Q0eFb{3b|Bn0sCt@z=FU7H{tEpfe!pT@vJGlu34iXJVZ1v@ zUfDp6CFDm9{iK)wP8Th44XdD&VL1vc7NfeaA-f zRW`#CQH=Uz;E_U^7pnUmm`m_zalUBI_Sm;!MWo5RU zn6^e`&Z3OzVnnZD%5^qM2Ai*YIM70{+VLkuvuOWPh=)EAV%}f&?SltuZ@$eH=^uFl zPDVfcFYCAQ39NniV20}n^U{59piT7qqSGw35C36bH}9lb`@nM;cvHbuFe}BWJH;0( zzh_>$H!9y$ul$TEE>`9P^V27zGQY;}pHSz_T$zrxbRa78V!bl>&!Np$&kx$thoUk= z`7-ZCPEWg8HvOg2reZ2vTvLAAg7i~S`Df~tU+&AdH%%;mYI}NnRDM^!{6>5(;yBt{ zFP$kA&U1d(HORrH1ty;hh_iMydRh;)r|*y8J)DO}dy=!AFPTuzXz-cWrtgl*+)o+q zyceNG; z)$`-1p2Bex>%mX2(fI`@r7Km>N>|VIQ9Y$|)@Hmn99MXGztqb+zO&Ke`IFMu3C0Qs z<8smPQsjLZ@1%(~r3T$rQ#TV9t=i^{C6Q>L^wSI?o>rH7YR zaXXbVmFvJqeo;8fP%@+SD9B8SwG8dPA5oiYX!Y>o^aWtq-FpEB{diyKca(N>tqrUx ze|1OtZ!@%jBQERV)4o$#mT4(xCz_hr0z=`!DleS^BGyN+0 zgN+OSvQuT+`vT+MfE#D{KrV2FKBeWNS@KI_RF{ObWD#4e} zKcp`vH;iY@POkBCv(U>;|LfCFf=hX^lN)@PyV!?2$k_p7tT7oA9^#A1HRlXw`cs}> zBiANRf3hUKHG=hbek^Z#d0ADC3?CmmE8`cM-Ja#~IrZf9PX$9UH0ZHI_~0M1Z;CY^ zPL6eV#QN{uvUmOcUpTn!jo+xAHLf*^zRiZu3n!TW6Zk#6TN#Yiyu0; z<()r1xaFIEe@PzJXO^aKjbQcWVaX<}t+vtXzv2z)+NjL`$d`#^{#Dq?M>Zd~EL|GG zdl&G`meCJYnw^{&Z5b0pGXKctA1q7TRBpPXDSKU9IsDd2I2RIHZ_@bYj8oF{`EK$h zJ1O55{VIoeLCE)kQ_{2Y`H=Yu`M!2a%AS6MCw{i$>wJjchXW4ys}pcIZh5*ShAp4A z9uAi*PuuhP>f!Lo`?50pnS z8va8}r_Zk$QCbK77Bov0R~J0Rb@e}$benq&ek}U(dVC)B#hY|5+n-HI|A98{^5^m! zEa=s--1%gB-{NER1@O`@z*k%$*hqu*{FL;IuK=rqHW;4sB(u4Bzh2R`k(iuY&!G9! z2a0XX;rlo){(pb>Mq3Z0vbOf8xY5?nJj{Kemd3cQq&Nh31jKO&XE#4H;jZbQ`n4oR zqksI+-eK&L{CgXZdpIo?&uIA+eq&9#KM(bG!H)BX^w2Mf-V2Bcbu>FYZCGG&uV*&* z%t%jzUc=Zr#ZQGpfjYK?yXz-w3-P$>d5xply$dhq+j8u0(H3C;R&5!bkv6C;$JVyx zG~brMFL*yg>oQV&`*_`F&A5+v>^5XG=%bDM&SQ@CW5hzblX1l>D{GK*{@-Tj8Hb{m*SN*cKM~{=^!v|t)S&E?KF74+*IVG z8NE!1n@%YECvQx5QdV>vqTOX+|2y$^;Zj=e_AsmseuC02v-?W6em<;~3Td(LL>g-f zEM{wdLmuC^tw`?(`1U^2@YV=5k_K!lw~FE`g^@;N#_PjcW;CGMq&br`vfjbKU;CI9>bLjHYwD z#<#8EK9j5d?qL5pPaQ0cRQH{R{eA1Pi&~>~CHTiMRAp$*g4D{Mg^1oc8@0&DhKHiZt`| z(AvV1e^y!6)Es9#9HfoneJgXX$N_hlv=E~k5Dk?t{4_U9OmeJ~{3GN)m;49Fe{P|r zrSpfZnPp7BAnb#xL#sgF%$JsI&35#iW-*FspK5^*Ru3}XFZrYD`etmM6&PF%e>JAUZy zLQ@&tJ1;v<{A_RrcD$}G!yobF1>Y|l4IguI53bsy>3E4AuwKacM~wXvgO5#?uhZ}E z(=;0JZaNd4-`#v;k76Frlr|-4i})nI_o?A{&+jD$AWwU(BhGXz;_F{3-iU0h^?q_U zaE|0BA4Rp_%P?r>nwUZmyo;< z;RESj3F6iVM(`~{KArI)pGn`9E}vAiie+DYFM9P?Ha2@lYx<*3*40p^X3gGi-A6l< zx!~j3yU>_U@H^x)U{5kXqs_gWuRqs4C&Yhb6DxBa4y7krT)cOoTN_j6&f0QQV)GlE zyEs_H|Jx7#rt2@Ao_-O$%CuofcI(jLyS3ke@$VpeamI#7w|rNxOg|Up`$?UAl{WhG zuXnjUoqpa^{koNZer0-hRQ@}Ym49-Q^5>tC-WHXAe6sS-PE!8SGt&1*<-agl`EO2A z{=`-3HBtHdCoBK-B;{{em0lW^|JY>ZpO~cl3#-y~QTY!}R{me=mcR3sOMWk18I^zU zWaWQY^~d1bowt1L_tMU&+@?C^EZ<41)3zwzrR4Ma`bhAjvBw9(dZRhy9lz-hm{Wc` zYw{c2nxpQc(1ls(!U?P)J4(8cl{Ft+vX6|#Ya1=k+M|d&?K*Sl*q$?!M*e5@oT<5D z=>tBD&8hVHc!Kp6d|Mz}8oo1z58t<-vzjNiwSRn13brQc&i2vO>GXT;&cah=uL7KD z9!{2T%A3;0DBpSyPi5kt)(}=$yB7KZ%>xWQ_=@^^=PgISDSfiT>npSv|IfPmdgm?Z z>sOtC`)sb4UX?pR0-ke?* zl}qcC3;MGm%6A+2j-)^5l6U;3cc4F)vS#ln)1P<@+x)r@U34eoatGwd$;v#AN0=}+up?UZImHSR0{WF z>Kz}bw3L`Q&z;OGOYg%OkiU|H24qv0F@bv(z{5n%v#Gj z5e61vp^*N( zOaDp0A&>u|HR*R=0sp5%S#UG_-4nx-6bwL{0m|t(K@RV>#U>~6}-wD@J%nKO|*L&?<3u`g;>^p#tN3s_qaaquiqYG zp`zL7>moR```5f@yit2Kwxs<}V0#SKY^UFSA(j=ltrxk8=l|4>)xI6q_;##`+OaYj z`+@3T4Zdq!JAS11YiI-GbxY%0MR4&w0)M_8mjUOeJ@e3a}n<&(`gTLsrzU7biTimZqA6|Agjmnp7AHAo0;slIN3*D?kcx9*QR=Bl=YbG?W=G;4n8*aW-c?pW5kN9)JnkNUAkT6*BX=8eqV8XX} z4(gwPDH_FdG>5wb7`}+L=F}?h&_!&fS^A{2XnqpuaZHq-SKg zf5lJE*s<^@XNYe%M{)9SM#}c$yh9p$>V0Yy161ryYh+8<&JupjH^bVpmGE{pXV4%6 z%<BxxgTr$MXSdD@ywYN}UD+8LRr!u-mFJa@lin#>S)4SZ z)l`eW@8ArMe#QwQ_P)cNg<$i{Cl{*mbH!AsUD>c-4Wj@L6z^LKd_wNI{v z_4C}f*V|_2vWI!*Aj2Am+5LOSv#p)))!B+yjZQs^_~dM2)4kmH#JgmvLBzpPt}@)XmjPjI_&!Y zhEFfjKfbV-`$1j*xN~S3?G>*I$o3Ce|J|#4@1xzXu{jahuzGRp8ou4tl>RAvTV!o_ zGGy(ezstApdfInD_K|)pv~im0qML)sw@tbj@`ZUC;WQyeOgt9a-?_P?lwJrf(tnK? zgD%Q$YhM0C|2Npg^H{I!_vxu0!rqqYL+C#SWk)-kegEV6tTS$o1zv@3T91*>2X8Ja zb#{I#%uxmX>_C69jf2ub>9wAvgPavQnDt4;XfH^RWv!DyZZr9nESvmR_koDEl3ifh z`Vj5elpJZDc$g1ATH_vU(lES#$lKj;Cu}En?*M1@uwLuVPIP(cjn|DH@Vb05a<4vp z1X_2YvllcbW7id?-F{wkGIkDnYyBYnm7S=Og|C&;UoJ$4;cuY5=zbD(uQ`*kdkS&N z>BK3ICQdm89iESza(A@dsc;qTcDkDNLqS(fr@gLfKMcD1_{($7aA(MHWjU1T z$#(7N{?tI2OSCo==a}x63htZE$>=Y>lRX)3jl+}PkFvTOt9eSyd%x&q+|C)-nge{N z4)75k0T-nSw;$nS84SNR;ere=M~5vwh81Wq-0gj(HL?YqOCHhqT2JGlHFbTZJ2$VN znqDPY>Xs}yx=NN(Pt!dSO@(J&`ptHF9QK&lzLZYa{?1?i`FBgKMd&ZikGXG}dy`Mn?Z*p&|D5x9s?o~xet5NS_e$yHWutk!W;Pr9tZ&-OZ8VMQ z$okkm7vI(zm^}SvL%$cW;|H+eBP*~2va2f{EsxmGK0h@riLR?_>AKp}wLeE!>*GBC zwa26`oi)yl=8BD;iyWQf{f_-b=vjmw%qbY%k$pRF54wxC{k?Pe)uzcWe9*6xvu~1r z@|%n+ujiZ2brbA{<}P=(3~PHnANpyv3D}NDl!;(S2X6KG9`|`%zIP7n@q4WLd*3-w zn#r2u?0g)ncW_H%j_>rt(#MMR;q_&zGB@GOr+YIW$z-8zB7ghvdk$bnN3hApTl((d zBlUgnXi5L-weXexJ=T{e|HIj!ZAaj%=8E$+^bX(FybXOi_>1VXY+uE%Zwxwb?N?vK z_gLTGLwl?p>W^p#W4K!X?|UujyTIRge74!4rOfk4Gkbo3g#xSB}`a zYR=I+m3D3~$}gSxy*=sKdote@zv|zOKN{^T)VtQdOc=_mreT95ed$ew(U-j23 zf1WEpB407TFOhFn{=BGs=nJWDvEkJOE0*fj;r_(VgsD)S8D1`0VKYn*oi_#AoDbm2ipoDr*0c!IJ-7JaNF}Az!!m z^{x*#rU;GIN80|#YwbMzaBl(f;m+~{mg+HliV;4P$>Wp9Nq1%18Lz;4fcEUC9W#p1 zhc-UmePkS;^5bf2lWZ9E#eRT%exnQN(nDlv)i!?yvH6R+c5M&3-0j;%{r!6GOtxk| zN3Yp2=32e2lRPU9f{im>$97fdhh*2}f11wIpURK=6a2mrY#3#C;`5r`hqaY8{?yy1 zr<>ccUD!C$MtY&X{u7*i8|Wt)&~tbp3+cz_AYf8p07R{QlO_XB~HF)z+J4UEe z2X3Jclnqk6OMI;ma?`2yS$$y97>m=57V7ZkZzZOp*HsN+fhjFO8hs)+~lKa4BFY+ zqjnxBdpLnMucb`8kMjt2@DGMIPRZsFO}Cg^y9|CE&bKqf8&#L))@W0`xwYWGRoi^+ zA)VJ;y7QU6dlvb-$nhJW_I^j458Zcrv)UX^4Glee4X0_-(^J7o@mp(az536F&%|*@ zGFrd8CZ0Q#huJYbZ3CwGAsUqVt~vJwJ}u9uzsCk5195ZIW+dLIq+%#efI$RtDB`bVKzU4vNuAR*>flz`^m; zosF@WeCpd{T@mlY`lXRJ_}E*!FQ-P&cGuA}#zAHLoXUzWbj&iNKL))}|Svq)rSi3GcT!$P*<3ZCq`m@4J#?{ih^AfxJ zR{28QE#aHi1=-kJc{Y$oI^XT<>!zOgJOS)IW8A?`f1ZF~WxCmoZnCB+(@m8Xy@6%A ziC&kMTH03PG?y4p>fl{U(bbt=S1D5l<~P7;H*?~DpP;M$TSf4stNc&URp`5kGSb!4 zq2Xk8Wx9L+MBRNiJnyeVi|fN0W7RMHq22ZL_vWy^Saev*T)FShmEY0n+U!21es5#e ztG+eKpyoGg^SL{p`h31^K3|BJtBl&H-|(8ALDLC89?#l{KB(`?YytD^%W31%TwO=B zF%j;Wjmg8s#>@q-*_g>_bhfuK8N8g0$-~6P90knK#v%A6{g$1H(<_n8-6cCyPrisH zN+yxbYqzvuR; z$Okf6}5}}W@|Ti{VVP6keu?}=(LPD^6td1 z{j8p2sryUz%LXDVvVZyyV^H~j27~qr2JOhsoP5fk#iD*}_}Cs><1T+#JhwBM+bpf- zOlHoRebnGIk*5**LCcDs3p~%|8Cy6!mvVkQvc-?BSEz2mmA#o&YiDgvu!*wajGHEC zp!q@Ms}ktS`R?+uJ1IXxdClo*ow??RJKM>RE#KsI`vmF=bAraV$6TEj&tuMPxC+y7 zjmL1D6P3vwZ5fmwGqTQ|Q?7PLZMSnMzbYMprp7a9+|PS<#$=uO=LdS{k3LwOZ+@|O z#d+I|Kd!R*AK@YU)xp?SbJ07B#N=sfSo3f4+U(8-mA@`Jju6v77dnjq$6{*TZJask z_$Qy;;!ViB;f-wWY4ZHz+4#2*y6ai|TkLQdUfeTSx^~#+7oYGnwLFX`TeI@Y5a2YyYba+UNP`|VJ**tO*MN;Y{z`7T}P)so`-*qJjMR`(Z4)=x6a=Tb;fi; z)(0J(*jq$jDLQEHON{R~!1s&%YR4FEJfXVwi00)PCdX}KCHTsDyW{@9(Cpq{^zWtbTZeW5kLRs|2mh4!i16B99lR@Z@Zzzj`l<1o8ra*Cq?)JHnAT`4 zoZ8QJb_QEH)YLOr5N$lH1i2KBqFaA-u9sp8MRce349@5b+MEmr7}#xF*C|_S{Red# zov_W4WyzfR&)$}5OwK--!H@X;!@$XK)mc)4n}FMVk8d0J3SNy4#4?eKsoGj<_^I)J z^J+JjCw`lKe`1O|w-=tnx4}|7>t(&&QoH|^dJbco4F|^Xe0!#S*D>iecc7ohxYhvBZ&UdG3BFq_+v(U0>6qe84`L@I|C||a zw!N)28N6MvJbjRlQ$_p!xvrjDcs5;?9i)t4tmXOZz`HJ3^ATUq z>QMW!eV3@7P_Jn4gill1xx~T*Up{!iMfvsH7?;b{xe458d)=}Z=E?<{1^DOiU2WYK zwG}}$SZBp$!9QPCXSAwpe^hqFmo@*!(^qZJ#%Cdow&&r!&coXi!TW-zNm~w=q2RMb z@FvuOOy%on1x{xF=(9W9Ywb6Ckc|F8ri@?sGh2LIU+pb1Zj@Xgi`L(CAWtPPqalB7 z?6Mk5i|tvsXGnHbw!Tzoa(XM5*k(^6ioWl8^bCGfS+BWq& z`d7cBfBGH$+Z_d*V>--phv-W?Rj2xQ`=@`mfBN_Fn<9JI9j%$e2KDWpKOmc9Ycu$l z9SUc320P@|FAz7E9g>YwJX$&n&jXLLw1`Kdx#;$G&gzt&C$#To*(T1@?)oUPQR3Y; zzkxj~c>hZC29}rp$?^^zo1RAAp_TB5_)LE|uZic3j ztyP!{VwnD{kx-_SGQvx~e~CD}Y}0V4M}CETchYvmX|#J+um{S6y%R24w=!r z&lUeHn-J=2Rejxxk9&FmtL*JG_YRH<_X6~I@@d7B$-4n8-pxUwGd{)^*6anmeomek&;7h>%pT+Pa2=esd7PdjuW*u_ zh+g!$W-nuynnRP0=@(?7&*$3$tuzi-{%!tQ`9u%JK8P!g-Yj_jSI6(jSQqc2*6 zoi?i-;g>Y_?EUT>`aStj*m(5C{5{S2$|jvcUdfy6e@CNir+-#IK>e0ZKTuiYpJ$L~ zH}`@me}Qz)qqXOm_^RNeIug!M(0|(uY-AA|iM`nt&MzljDU^m+OPnf`A_fZ3D96>JW(F3n`O!})*#_pA=t z9NKO+)jz8Z6YLGNRCXx69aCTHhaS!zy z^fQ}$8}!ZY@zFQz&bA=?q}#d($$oDg*~hmr*(cvHWjiU0KjviLr%4y)2)DQni<>FTW2v9pO`gnO2w7>3s|jnU*kWxgKx$+N!caDdZ!=|5vJlw)vG`oZgefECzN$ZydOYzDw_3fGDTf6*(ZEvu$ zDl;TG;%E3C!0xv3zC!QZ*}%NYmw{ux(0hICEs2(h}6Y|geJRX+@Tqf-NA z_hEl@zR>=bWb8A-rwLpcA8D_V>KJ}6@gMxV`}k(G0Cq`ph1B&k;w{3h3@x4jFMap( zCE589)PLY=Z-;wOJ&6dfmOoCZIA9%bg{=A&h%#*w;BxiU^ur-f-~tp-(aQS zaIR3MRCop4ln4Jo^(gK-DgD~(;6nVWF8xS1T$-?7{{>tO27KA$V@EC~ebvB4>^aak z{elcgCUn=HWIvV<>*J6a@#gwz&WD<`jk6t(tX|2yzso4k`^@jp@%}~6d-Fk&3CSk? z*#sHT{RWu~gmvEZ!LLRJI>P;=Io@Ve> z$qYB%dXJZJqaQday@F4Za3+}1>~H3zPx`V6wzWoYi`Dh$TXYr(JT2je*j<9lko6_3 zdsqx@myzyuEgP3CCXM{VeCupRXIbaTdadltiP9!?e_b-DJC$}(?*lg^&+a^m{p#{} za%HtHO8(IHmy>53h|~Ue@U?UJLcR30HTA;ttX}5yN9IQLG9C`~4*7aNs(R(Gsotn; zzTQiyS7V9o;A*tnb8Pw{*6_WRbm7)6UyGQJa6HG;)OZV?#6gLlRO3-$e4F_h`k8h^|F)6ePO&N#qM>p2_eV(++D zchKxOx}G0C``!9rfQPOP8-jwV2JFEBYb%>te zpt<6e*vrzCYV00@N03j8r?~6;p$0nc2WFvKG{0H4T@TrZ4@F$knVd%;?t25MV{s4IVgm%UEO4i)XM>~Xn zxPLUPp{sYsK+qx01?JCGPKbx zC*r#?26;?6d7s-WsktwunV#Nf`yuhuU0fa8H*~Cfw!WRQPTAW%n=@i=>H1&?X}(Oi7oQ7Hv!8-{L`1ui zuh-IbKafvvAl>wwGG*p5vh%yWuO?U_J?R2g(VbZyrz_216v@lE<%*T(>Ev*#^1LC( zlOjBMS41bli+}w${P+y)cE%6QzwkbzA{i_Kw;le4y?Q|gM8{R=4l>!Pe%Z%p8t7ZU z|BLFl-ek1d$?)4W#sPNC{{G$7HA`WRA3J6Kv~ZLST_46&Jew|}5AxgR9OuRn^1ZdT zs%9>JH)~v1l5a&aUS`kBz9q>x@kP7Cw6YL=SqLm-w$he3o4V4EOII>h<69?f*4Xi> zaCV;ZtGz3$ZRPvzW^d`!4OjZ~{uaMRlIIdWoW_rgRZq3=ZcJ%wQ=3B^S84coNmx6i zcjEq8oLKM7@n&&fz2gTf|C!LIyaGR;y5tvXpMmDd&QSW2iRo`t`m%}XCr^_9bxL16 zF~8!<%w4eV7dpx3kM=#79x>)so228J9%(Ed=}|pAq(}AY3wjj()m|GrLiY#N*G$G6 z@fX`@w5Kmwf0XBqd<1MI@%cg7Bl&-_hc-`J$9K zb3Iv`bLpY20e6#o+VamwYH$1hhwXh8w$gZhj;sVqsV^P z*({;&NB2sMpN4`Rm+ep*YXHhVO)&|4$uWGwySC%294)z4zM14Bh8$vXA>UVgKFz0v zv{9cX9Npf_cs&p{2wPLe#+Z!i99PDudJaAS_5mB@aRc9W-#7Rcz_n{%b<`z1!pR!F;Px;8+*C*Q##%HceA1WSRoVO+q^%SY+@P=gY{rnsKsZ%zl zlziaR7V8iWGteP?UC|2OY&|FV^74bx{mh2x9edCfY@FU@z!!JJJde-BA-m- z3Fee9QT@W@68_(o`+i6C{d~Ty&wc-B^!+V->&kuqNc8Un4bdqTRadW0`ydt78+ga0buQ#R6c0+{0Kp1^0d8$Z*= zbMyn+L%`adRh2c=Prg8p_4sGN8JtF)_6^?mdEB=6Z`m9>`GlK(@LELKJBH^Kl`eydu4VvJUetTblCtMF7D#4 zA@`rrXI(N@*N0!3*xg0g?ZL`5^fQ#r_8cw)#yZ*{-+hUHp3U=O|EzvXKFWFIQM&Ah zo|P{9p=a58*^Ui7tB%{KL(i=|e~{-7^1qn>a8~qU*LJmkIKNC!6pomUU@OrrR62 zIvH;#cC#nCyHdzQD4nsl^Y^EF8gX8s?H>iVdj*@mBecCc#)DjUg5{}=Du+kgC{2P^;ngM+2-SMPJe zUYe{ProL~fOg;FsX_rqAdvgnmpu6P5*P%0mY+MHo)kjR$CgXq9-ruB64;-;g|2Mn) zE$b6$)5j-k)6CzjP1fH74;nkYRo{MWGPoyKo3Me|k7F5Dc(!_&#L3LCHt8xXDgNHm`n zz8zcLLth}>Vj`iR2QT@K9gW~hKW@){{@mKgT!Hv%xHQui#tYxmc!G3mJM##{C*3~T zXl$YJL0@m%z&`w;{@twmz%GV$sXPI^aIcJY3!=-cAg4KJ9h zb1?pDV0v;_P5N70`j<#=t>%BEeabPG|6$TiHXR)H3o;i4oWCVq^>^|!9Oz>?a#RMTRjdDelN8%eii?}apPQT`-Sub4bYuMWAeRIX6 zUA}0&HgP!oADaW!yozvG$UKhb#4ZAt4)9Q!9fAey=09(q+g?ETut(o)uIz2s+EidP zQ}+&V$?}q~;PVkz9r!SJKa`?0;i|PO!bx}@(A{6;8_|C^>zu(!b84?gMmw4npNMel znVT;0bgG%7jcEjZY+p(5eEVrt|Fhx$LEHzZfy|zFep2s_P#~)8N8bwum>97)o_qss(4XH zyTf4u4D3jNF-!9byc-PcgkaRI7ds+3Gdioi_`zHK9w;kIpQExmzwL*E#G&iqKHb5{ zXa^Y(ld6KiC5&t?j0o|pn1WM#jHH|54YuFlkMm@ zwkZA{eB9C^WNo3tvky6Z0Nb>GVb|dE)WO+}rpF2E2;Kpn$R~Z}MEn#}q5s#~zS9gp z%7;Ez<7$;*4miWzzBOVKe0z0wv(6dt=~joe4_fTx8|N2{3Wt?PzyX_HgM-;v>g}N3 zSA)aw!XCvg>f$iMH{lRyUy`oCi%;V-h`*0OC;2jy>MHSr@tdZyC)=GrE?Ldy2)*6b z9ASxl8k)O%oVmJE^2jkd!|pJ#0q#~BV?C_w`WSMhGaqceqGoNRnb_0vb5nD@-gQ!rh8E2D->l%`JaM}{0tiX z9NO5LDUFZuTV79}0u9Fc_p=5?{mOUwr(e;!n$O}dpL_b@yLC3D^v?E!@f`5e+M}iL zMRJ{`iLOdRF0wT0U8pqVAxi^~`AS0$vNU)#TWRn=O9Rj2lm_pWw!Qlb?De_ad+5hA zIeRTx&(2kqWr_q?}#?D z7@c!p#J}0?`mb!CU1m4ujVfjM6W1B34dLq4sCf&99$0PRp8ru)vr+LLD5lG!}$zsmM^a~}xwR$udij|=OJMWZb; zvx7S!G!J0wP>Sf!+1WZ2TTkrUFjfk4v63}pe2bSS#Y7AicF5+J3#K2oe_Qhs$TxdP z#dFTo1sCDb8pgOv^SFgIE0q=SOY#qn71kcu^J-rndFX`JBde{CAE>Ovw^ACk3u(eP z!?_XNqMwt^^saMmKnupI?H8JCTJ6dJ)Sb?WPBlIEC2i-km`i6}ZF0zHvo1MUt{B{1&-M9X&s9wdcxTPh?;G_*vsR?Hk-X)%n88 zlQiNVah}@KaazHp?TORyr<89uX;!Y)y-SBRuKYUb8mHN}rS986$h#cfFM?Y? zBkCh3#RHp@wPk4?7?Dky6b5!DgR#60jL0qt2IEA0&?tV>TYL6f1-~te;T63fh@X_u zpKgM`@-y3JR()K(C-jf+4Bv>qh;~LleVf-cc5(PNFZYc;!LVw@GbE{&>t61l@A@x=_yH8i}OY`P9TO!`ibrtde~iHN{6O) z7nq)*A@`NIJm86+#XITXrMdp?y;oRFxRd^2SUTZtM~T>51NY1nNH5bb6^T{vZz2xY zj2)qW+K-Irym#|;<1+v87vH@n&anmP>hv>&p0-W@08`E?(CiZR6f#<;uWJKE19pMuhBg$n%^E` zZX3URoIMcCZLe*!Ib*aC8D(lODyP*mebNn9Ul&aaro~-CRul`^Kvqo+;(J{%+us?$>wfi?UCJ(J|3t; z5Ao!;k-OhzdqZ2r6ZU6~C$v|1S-T<`2s)@Wzj;0y4AVt_&jE66HV7K*f*!T!heUhY zh<~B8HRnV>k3V7K*0Zrgv&?>sR*J4)Qa{f6iboAMo;41}cQ?DU$@}ZdqcQLBboxsA z^^xgLCrwV5xihn}^7LDRJpzvS_!G+1U*A@{{@%tM-G1EC&A6qv8e5(gcuty&Z`#a8@%Q3dTN>Q_hVrSOHTckGCw?!sW^{=3lSC{I7_E78Zumw%G9N#~@!pP=;*>dS4M z&41>zwNMBAF?<?(jfusd5^=q!eg7gE8HTs&x0D{{wKbM=JhyS$ zR@r0CJCtd^_7Jki@U9*oJCR%}4yU%|WkTaN<1Kmg&8=0AeA0NlqxLf1I8u8j0Fl`T6Wjf#Sq{g`9=S zo#Dx#=Gd-kVjPT)NME-3xVB_Uw9y>jFzFr4soB~cJvYL8WHFX|%hTv!Wb=6Fgmil% zZK6Ga$RGD#43-zNe~?&`&ZK{yIM+|nxt~qvOcQiWN9kQ5WeW)EUQA&JF9?iA4-IQLp@E@s-#^kZZ~8 zNQ-<#i^H_QAJcu4tD^Tkna2p_W#>nHdMKNhJ@{ifApCv^uk-EvmiQm7>yFQaW^7?L za|*m}C$3PM!nsGtjN)gS9|o`Y#n2OL#eerpL(dlznk|&{1SS^8p&Ga0lRB z!lSltjP^p%H^z8$=$wHU=h_*rVK2o#U<~=avf?4O;u!tPJGuqVXuC8u6T1)IK<_5J?5`3Pt2v(p+6i(eJGtUpr! ztv;#4ulHQApl7e-V}aVFZ}7Rp@58fljf_XhuYQR86)#E(Yrd~K^;2H6)dl2=JT>j} zxP!N?3&`;6t;R$GJquCY!5$r^-6da#_Li$It#{Es`d~hYe25x)MX&>ZWGnl4H^bL|TJ#6PK(g?jMe#eR4w`Wt-cA=xZa-*x$Ve#7#A@+!(7rhUWA z)AytI$fMCKYb$ts92i>LHbF0QxM)q8}E_? zXe7F*kJ;m8*50XOec12Icj@9sk)y6~{upT$uebjt8{T^q_llpuz2dWXjCUWEuIGNB z5;0Zl^YDGyD`96hGB4!(4&qsr%c0wT?ykc&sy{h__G!+kvf29yo3Xzu8K*TmzvQW7 zyiY+|sU4fRxprRz`*X%Bi)kbKU`nii-{fOFw_x86UrK%YrghK!+d6sHwoeP=1$|@R zN&M~PFlLO)X>SVUKI>tNW))ydU%=h=7Y&oYvrvm0@#S&m^bCIKO4@i0_*|oQF*XTt zB9$kuIeZOeqqW+Vg|urS-$Gvf$u+l(`DQ}{0`1pJ<6|XZ$$2ABKOC$CarOz z+u-^u+7WPV{)<}U}X=j~X@kMT4&?d5537`}Hda`OK|*el{>VQiQ<@YE)EpNwe9 zT(<7X2(B$S`60YcZwQ~FF7%NjyXW1F=d6j&i|Pz8q>Cn#v%Sp zTeQd8+N1dFE6{nj*83Wr{{T9_opnZyj?P8d7ifIbtR3T|#e53)fSN9LL*LC+`W8js zB~Gulw7S@kzLl4(=4Q>nZ7|Mh* zP))Xx@gd1J_{<74M>bVneM(sSCEF((X!QN$iRlMLU&b(6-zD5d-!FY1`qDPh(eU5k z@!tUc;2_+02Kf+v=)cBuo&PU;?;ju6wEYk7`H>%O(>AK5sCHCSDgBZDBCS-D=0_9K zCQZ^R>bBEl(u_`K=FUv2b$#v)f*=UW4GmIq35p;HqJkhO4T8`hB?y8b2vWZ9wf8zR zXQt(IpV#wx{&=2ePJ7Ni@4eUFd+oLNT6^t%&YWOx5#K)_mORV2a;e8;!>-cyMK!*m zi;{1w4_lee?uD==mQytKB?8> zQZZJJ{A-;|q_J`&>ExLhD{Jt+2kWFs_r8Z|$}sj`hVL*<9=`LEV~6Wa#}3oG75lLs zrteN+@8=+!rhQ|qg5^mxcuqV_zhelse;VyHUc2Jm_+dOh|4UlU?#jRK{wKe)tLM1~ z&(%@)xqn&SrEH^Utw`UnAbzQ@u#P*R=e-BdKO|=U{LhZ)xd)yB%prM>A{wp}aVH|q zki20sd`C$`YjG-9g=(H1q0N&rE%|_SPBQLL|{;LBkgXCiNWgm^;g z(OA|a_^nuDNj*ZF3*=a(eB@`0<=@cyvC=F2jn-jm=O}JJm0iMRmq35;tn!HywQ-N~ zOmTOHTfGY{0`%Qh__BQ#BP`@Q!sOX$y#e4cp>Jtv~) zXgKNFBgPBu_mgiz`#}D8S!TdCsy6@qB9o@6v$w9IQL(H*eTam3FWP-yWhi z(lcB9o$Ld>&@X!DcPGZ~$DfGn_QFSpp2@kKf#WNJIzkHEKUz8KZ{eO7Yc_ZIr?8u*noq@$DvZ6@9G@42Lsj{^VXA6N%r zE;`6ZnU8kN$2^L67^Ll4inipyU%4~jue^)jd(m@W|C$26^A~f_wh78M?b5y#fH-;R)Z}I_S56@U2YrJ4MT}w1!u{ z74-v7@~zJ4gl~m@@bd?mOIv*=-qR*qodbT@Z;eMe+PW6?`PT;%=y!V3Z(R#tpoe=DSYbYKsk($*v$liN_1;{Gp|7pKz)@GkWM zZK1W?A=`DV;x&fnR>{XgvL9$yq|QFU=O(|8#<$kKXEhx_`)FMm4;$~-MP1$GH_`r? z>{HAI(A~|C_tEbGF{TbXba~PrIZRg`#*%Ey3F3+KP@d!y<52o0+sx|u8)1wQ9&dOD z9e&H-In99lcvpMGSo+=8j2*C3YFuGF?LWNy2{-zk%ETP<3$;Q2cWx74J7Oa-Zy2Y% zBkxD*?#Jlv$La2m(A`hf-A~uupQyW^t-GJ6yFXcXzgTyFn(ls??mk0zf4c5|rS3jY zcfUq=f41)aZ@T-9y8B|?{du~3r|#aPyWgU_zd(2YPu=~+y8Fv?_gCufuhHFKue-lV zcYllS{x;qH9lHCwbock_?jO+IKdifdOn3jJ?tZuK{yE+Ki|YRLGH0RB?sAGeo7d*q z;<9^0fz`QLq^=RUcDGIBmX*3iZXQrR&Sh&v22u)eF3$xZ}za(|Uo;IqOU!x0ZTEn$=UdZPuAKyLY3tutcPm*e=*MYXzD}`3j4@Vw1a6lx`{# zS#+_^DxOm$vgde3HlkN#1C-96Q$iPc=M||L`4HR+v0{0e$f8S1Mw-aZ&Buwz>@<Tt`H*;)I3qVjtVl0N&&wCfQu0JbdU}CKOG^>CI9KMZOc$w{=_^Fa@^n#hP+Ezlb%QA ztjJoKwPH26Nm(nyyp)wPb}h2cOU+r4D>AY&azr*=R_2Ja((^^e>g;T>CMSC}3d~&% ziu8<(tW=Sio|2ZG14fpouT0NF#F~_B)O$`rRzY_9x#FDDSFcPh$jVunkNdpz{Pesv zIazrG3Q|^{L1AuIZn_LnCWSIT-Jq2Pc{$m1o3}b!(xj!YNLiUiG5I;G^HOD8`iiUq z5*;FQQ|L}smAX1_jZ9v(Iwd=+;4I2gkW#Q(mX@=6dFIOWe7Yy5ms4t9dWxUV6bE-kj_lWTZz73Y{}o| zg+&Xr*6M&=D|2qNI;_q@ThZ);C`+x|(By+MczxE54%@-xMRsqY%jvWg`hp50OY9A` zuQsQvY*UFekrtOSx4Ht?SRGqzf0ai^tF_ANMgMQY;M-!eX!g@PTcmqDC_k=fu|*W~ zlmT8G4hvZIS?x}*MZ|d_+Bi$G$5kpyJYF%U$hu8kt+iAISwi4muwl!Nk9&JaQj%Qz~Uk`AKR*Lv{1Rv)-=+I`u!EjEW(VR!P4b*n#S zjmsf$rj~gyN9XXg8N!HcBRK!xLUE!{;?Q%eIPvqN2tuwWdj)mVTzQ=*@@UXIF}D-T zE>E^*u`ACsFBC2G=1GPn>gdd#Ct?V&0XBXV=jOwW_!QjDP4kA@YB zwZzSxM`JZO@Q>7l*$JG464X3J8As&jrl+F_8WDfa5(IT}V059MMZq?>ZT^80+yW&A zv@v+V(GU%m5VC6Ul|k2DRR?9rwplk@Qam=Rx=Y{c#-u?L8Rv!&sWuLRs)JZ)5-ju1(Plw^ zjcAa+aw%#S4aOE`A-mgQx51W;lq#tR)ff)x7QcpxwX(G6LjP=%uzujw`K;1AWTz)UmpLN`%0mqA0=Ns6-SX8-_TzL{JUOvensV z_y<02;%3dBhhntkGgGp&Ly{A8$>bP@B+J~(vvZcEWFM+<;?cs%hbUYoXJ^4r#LRBV z%_&GN7WA)0cf_z;h z-72oIh{<1_rwLt>$OLU6q|c-hG+E_aR_AlR(1d&}%mPKNUWtL8f;C=Rps@UcoLmV0 zP)W2<%38S^%3cHttp@^GiF3vLq0;1%QjM2C$xRE!LzgQTrx-pwmV&E99v-GER%aJv z={O6^w3QD6AvEG)6x&)L+DQPJyAR*W&U6NK84XyONyc`mrc4%oN zCYS*%-?bDeV#$XleoP~NgG+k~;6ttdVITsd870b&0pF{$@*s3wqL${5()F4@4dWy~ z>uen#;Dnl{7Ty8&=uY-#{^}JgQu2bts}j_z{17>?3eTr%^hvU)j4VucA%{$$IW&kI zL_BN{l|)8+q?~v|GYOieN6JY%G>OZj`8+g9m3OEVlodB?UV;}QP0h-u*+vRW#>pKV zIE8Xt%NV(v6BL7O896c2{HqogUXio$JS-@&x3@`_u1})I3gQEw!oXB6 zJu7m`r9TIsb|h_vmD;fc#QxWuY%y10BMkrNVBI%2At9kuY(8HU`-I&oirpLsSmG9? zh$0)R_J>GzUT_9KZZY*R_PnrMoQiWXHn37@J4(Qt5osxBiIf!r+hl>2sI*;+wd`^w z3TM)5v2VhnfY#0-q!v4EI%xEZMNTfZ%B0UOc@bo+1bN-U?-xn8MUV>s2|)z~O}#>D z4|YW{XUn}VFjD5n?GpJT<^yQ~7UqKB@ z6=YIT@+u*X6WW)N0g{6~naC6_hU^%~pcC+-QsFq+ujJLo!t7ObC2!95P4SQUqC|<1& zMHt*FA8n<{y{rJa%W0$CAqX2h(G~`D#EJj3@kLu~!n+NdI9pX3x@e2lVK373#Io78 z4cmc50=qTX7;;#gWu-Qcz0d+GEOW}Rsa9-9H=sv~^bi~Fn{}x^dnq=Qc*i4@$8}m%YW?3>BWblZK9|QqoELsUrSb+1tS@&Add~( znKtYPQkw#Gx#@9=Rto_OMzCkoHo4d8Zwn-g-8bF@Bt}q%4^L&7N$!V3QCXoDCD0C; z22<;u<#wQTMHWvP#$KUAKBGb36P&ftN}F&jaN)(yh6Q_)*agLoGx$CMP&H6)Dn;(I$x%T?xrx}~ z!LY~1FzxjP2~bDtPjk{vVj*@3yp(0@EICS56>6-Z4!N<7v9iTZ8^V=Uohr&^r{5m?T*`${l6uzd;!ZCmZwLU#IK%gQ{3WcC74T6bvT0(YfW znn%$PD5YE5fkMAQ-Lz z=o@6TTJUrLdbE<-`=_;`4<-8~K5R!LD@M81Ke%=IN?k?v;%$EO>h*cb3VnD;$o83M zg@93(3<1*Ux5_~-WKI4krE3^UP9OP0>Y)YohTl%pJOzII=9cZejOO`8nqhtXMsyD5 zMt(eTP_lnkz|bZO9)c}JF6bw*jKNb_;%_aDd~NoCjuh#qBYhn-{gEE)AH-<+Leumu z(0g3sd|?$9ORg2W^>afU@Iyjz;{WYKoOsBRRb;v)*OFpcX-T)}mr@}aPCR50ncAZ* zX&cXk+ITGd6fPt`;Gv7~Km8(mLz_gFmFhX0_uvx#qzEQlgBgfsg}9>G^gm%<(IHBZ zQ6~y4!A{`^by;!%rqM&a41TVLhkHSXbl8w{Wm)M)w9r*-(cTa62GIe?#VJ)1pw08! z{Se|q(9#B(mmar;9*3YMVg1*%@+nzpp}>bIca3^Hb}+G@R(phM$$%9ubI7NmA>@9M zxr(6s>T#__?t~uHI*l|im#UcepEk`}>ZVy+F;P$g161O21Q9FFWjjMk)|aT=`%Bhz)vtsaMIgik16Pg&_}>u6 zVP*4QlB($|1CK@J9HvSAzo{i~`|myh%gS|MF_UHkmEidvIlA0AM9!T`Zdf zp{;bu9#UNkoC4p4+zx+4K0F+HEFT<;Y}w@9XvI*rpa_396{{YGFXQ(GEY@P0O|aKz z!5bLR5uwso``;)yh{6(2?=I1Lgr9_yHqX$i2jdn@xYBPa!4!{G65hw6*GMp<7nRX! zU?UdYSX7YYVB_O34C3N~vJ*E{fET`75$E>)b#}!y*>yU5?m}rg$IW7X3sCi14-;n zU}?)noDw;OM`Rinx_Glj=Hire*jDO2VkEdUdRj@I&%r5*gPby7fCVlsA8+FvIuDg% z$)h38wfK4aU)sB5q_D)7Zo=S*FOyfinK1)fcA{*P2(}R`;B;G9mJl*M5yWV;P_(XP z3vEIY1_@BgNlOW8SWt?5^T>u*NaR6nMxG4#xk0t4mT9F0x0y!M!eZ{jeA}i{+V4~4 zVT&{{F4P1Cy^g2#fZbVUD^S(;4T_ zD)CT?F3yrmkD}#~>hk*JOOgtzH>xb@w8f?JW7P6-#`&Rl@(mdfkd46$Skl{GEH~%U z^VE|_5uBt)Qn{d?9`9liH+P|WLqcGS7Pq8p0tJ)32^9S2NM9CFiIFiQ*>fjLfFthY zgxM!2VA~h*7#&KP)o3A8icJS?jjJm~c+UG_j#iep>@Wd{=JWif8&p_2J! zufR)d`anm6kZ7QYp%0lCDW*=ajh#v*+1}x7jC>=No9fR1-)> z|0Z3ag#o%abWD+Y`wTXS8u7p9VIc$+t-bt=xm4;HBwB$_s@kPsn(5n zA32bkl_BshtH{X{1(|q4fpO`RTUdGOLC zhUU~$wZ}B`7Rtvon)-5|&qx2sIyAERXlQUmLU07V7pe$GZa>{U=cwbQ*@ic*>;@y9zXn4{+_Wf<^K0nQX_(?cN~5)qKL@G zj~e@q62_jRMa0@;gt7NnVQ^0oraFs=8b3`$mQNF+W|oLF&lVzik%(+tButYQ3(>n& zL{3W<(SvD1R4o^#82qSn?b*VVdyWw6iiENIA0jgILLss%ggN#yVQ9D<=~coo^J*dL zZWg9A{E^|I+rY=|_%TqUh^%T9qUc!>+5M~#gD(hk;>$uLye^DI9YWN@G z>_5vW+SVB(6VEk@KASNjw%91L8;qv@dyJx|!)T~~16}{7F?#LWDDPe4$d32%5yy{> zh7F$>MNO|UqN5k(Pca#jEG992rpZt;%OsK(noMmAO``o&ley$Hlc-2GMa@hz8Jp5^ zpKXdP)FO(SyGn?&y>Q&g?pWQ;%0B>LSZ zgU@3U1s9sk4gZ5O%1!3Fi%g~kmzYFawJEyiI@8F?n@nQYPLsLy4wJ~f%QR|31M0Zn z6zzM^Bs6CgX-q`~jdjV^OUJHkYt+1Pf0S+refHkkj3eC6hdq>IeP+)KcW755y5$9?#(n4)J$Uam1FN#NkX1XK{$1 zJ>rNhpTl7ShjTfM*+CMI6<_UE;ddPVEJH~YzJw(ZmOxknVF`pK5SBn#0$~Y+B@mWC zSOQ@Qge4G`Kv)7{34|pOmOxknVF`pK5SBn#0$~Y+B@mWCSOQ@Qge4G`Kv)7{34|pO zmOxknVF`pK5SBn#0$~Y+B@mWCSOQ@Qge4G`Kv)7{34|pOmOxknVF`pK5SBn#0$~Y+ zB@mWCSOQ@Q{C`ja(f?MzGe3;OV>q;Mcsz&k9M0l!E{6*_T*ToL4pTTx=P-*y2Z#US z@G=gs;_!M78##Q9!*4kJiNilQ995(EAIst493IKxbPgACn9AXD4$t5)hra(FI>g&aCK^vN)g?*fj$n8Ry0+`-|U9Nx#_ zBOJDH_!5VEIed@9PdNOB!(TWw-lF6d!{G!DkK^z}4o~KADTkRH=5ly8hb0_(IlPd= z%Q?J;!x|X|+I<_xH*okMhfN$l&EX3i?&0ul4&UeS6Am@{e#YN(_$!Ad{+@;QU5o!N z4Dg$nL0=xR2=)CDA+Fk`ypO|14kycefpTBta>jD_DAPT~;q4s% zEaQB}FESp%I8+~A=k#}F7^rVQ$A8A5W@kg~Yd@!tx=*z)mc#Eu%KL@se&g_W4h=7; zd}at(0-Y#@)4bkPY#YZ7?C~=XEM%p zI4{I`3(nm*dvX4X^9X}5%)^adCY)_JJ8^!Da{%Y>IAe{%Fd64e zoQXJ3$GH|~3C=AzFT;5g&N`fpI9qXc;QSb8KhEEAjxnJOoU?JBhBFuE2Am$87vsDh z=WQk-)~{b*ShCsc+q}NW>N(%;q=-^mX`y=?#WV8Sd>ZmP-5$HsSM0|j&}S{&Olj+j zt#$`x_xfWtm03MSDyqm;=5woCPoXtXxX+`j*z5B+gA<+pRIATr7wd6F9fekh!&QjT zXD_vh^~Hq_mzTmKm)nN+6c;9zr75l*MGMVbJS;1qm$3`W1Y)s{~ z*&vHz3S0<%HV5jJ0m1Vfil4#%}eUi;*AKwgLBwftI2t(4bld9A@!jF>A%%oAhhiwO(FF^S^1MdE}MF>9Ha zpDGraMZ={Nkf}kE*Qsj-#k3+`n3rWO7aQ|eq-1A{5|`8GaXAXM`h>I0v&B}h&21y# zGmG|1D97M8CR}^=VniAht+>lTlwy~`Eb8txBDE3Y9P|$xaII=0`hj84M;3~Q4Mnz6 zE9BQ^aM+!j#VZDrg3~sB>XY)A4I|fgg!zQ{7CefBHOrm!QE}faU)EsNf6gL`I ziCc`qXtR1eHn+>;6V*lu5W;Q9{k@bgdYsYxjpngIDZ`1P|ikND{4ATpKA{ zabu)v#m-37{vnm#)r#2!CALS(5?@C`$6iWkfB`p&;VmfY^GIQ`i%wOMQt2~97fD^T!bQ6%T*qZDf| zBYog9Gt&DWq;wugd!t}k>=?qIM3t4gWn;boW#!#++}%r!use%g;_7Ibc0;sD^qqx5 znlGiID)4m_2C}_R+PwyC@1I9Gt0`wAW;m0m zor79RZEmZ_S}F#keIWid8XRsCUqqLnOx1zkMBBw5D5G%|GWOp^Ep2Wv846uA5bqx$ zj9%*Ih7mptk4Hv`SnC#>$GQonO3hY6=re7!dTp#F-2F%}*ty>3jxrDi!~kSTsa%I_mhqWToX zRj1<8KAY~Qnli=JqgILQN39kA9t9cBKx|(&@<=Om|0v8IY;PV$a^tB;uF1fqatiu7 zQ|v+BH%4hT=$%pMAMyC8GN;%F>dwc9Hmr~~SL4j7FGK+yRgj7gKS7x%;{d(jj__M#1`?eEKR`;qLrPv~0tmC0l; z5+BFN!POU|dg+@OvIVciNLw(7j1>)}fBjF=wPClcLTdkx(Ng<&j@GpQ?$H=iH`2)3 zek~2)PIxZRlp84HAUq%F`}=gQeT%M*2T+t5_4kZc+WgsQ$w&Wa#mDz3t-ME;^NCc1 zB5~6gl~fD2X{ZoobiY6~G`>pL?x##fl=c|Yw2VPTJ1L>#Dq^YXYPz;xBM1H!W|JCM z`^M0qDf5c`obB^5e&u{_jNNT3vihvz?J=yTU!%~9`$%i*&cJ2(bVHff=8-gwV@;xG zrGdPhjc~5Sqhn!3@fjY}OdpLhYTEhsSWNvcxFXxczOjgwBj|;(q@(*$L{~1#ZJ3X2 z+iS?eY!X+;IycK2u8&18Tt_9=?jRQ0;TiiC_x@N?+(%-;y{L%|=ExX;h2omgtdsYTwgv2W`{;mjzCJocIXg$6SLQ5~Jib3# z>gkZ|QgO!^R@H~bxJA`iQdQZ-_m1_5p|MKxtT&ahKJiK{G}b5jW1$aI(ZF5P!EC0u zcHAnleVj?OW?{U*u81pQ;Hv!^>vG`!=5d(ZSBX2vK{jyKO`<6Um$oy67;P=W*ftc3 zS1>Uinj#|S%YjQDJ%!(}bvp(}OlhmlSjoSjQXNpG@tlt+9!$}1Yik;~?D zQJQTFO~ucTL#Jyh`tmsGR-)B5@j94je4jd~zJt1)J*4)-r7FFCI85e~a`-(%*X<9{ zb?{}nR(z;@h|a@V_@5mv<=B6?^dY`KTvM^3!=)$jJIX4*N0#y*x(?h;*P1)c5Lff~ zRbuye^s?VedU!l}Np0hykqyL`L%caY;30j6_^N%BzeCUU@8c!c6%$a?QA`$4}>Pegc2H?=-T-Rl{GMt9F`AM8DDZ4KY?@rtyi8<`B4E+=*FYatotc@`Kxr@gTX*` zJbIL@<0&Nf$%NWHNI=QY9z~*l{V2s;C(?&MqKsYbl+Lcu`$w^j{RUMjS7;EFT@Mmv zZ6j47U7?zzRa1|K2JND>c3IZYXLR5Fq4b5GJX*81tw%!<0=`hw(PU>|MBY~P3$8n5 z37^n)Kz2vR?NpQI4qbcw@j?b~MRCiKZz06esDPf4+W`=Wf2htmkT`L{{O*8BZdJC3`U85I|4Y)>o zK+qzK?nfb1^ykR>^|9z7@#eAchJFA+m#n2xTD5-Cd(==lS+lm+Ox7Ht?UOP5o~GI= zWFK~XK=-ZP0sGMkin?YhL3u<^PF9xV#mQtj-a%@wv>D~nDD3K_{O#|;F(?v)ljRuu zb+Q_<l6s_0 zHc8bRg6csuubYYJWhUASqG8m55%4ix_sDCd9Q`%>HJ9ic3%f*vob6YOUrFD#Xf9Eo zh1IqEI7}Q+PxS4*vgmuw0jKDBBsSjzwa~nxml3h+bE0egjGCb7=~u`3y`t}qL$vgY z-an4C^=D-1m2=(jPRiH^>5*SlKb8HWd#A!E_EJ*4G!|8LM4+kg3sXsjUxhzm6^&B^ z8vM*uyLbaRJ6@uk+sPD>WAw{Z=@|VnHOMh)np`OArm%88GezeZy+0+Or9D$ZwDhwn ze#fYPid5JuEplpXvarrRZ*hy;kMlc5Pao$I*Gvs^jBcCi6Q4|#j?tyZL&#D;Dp`RV zrmYeWOv82o>8kXNZkY@h=Z52@Z`3qR`bN7!&>>A_w^XYtastM#7jKOt52<2&q39pa z9@3K&uwrwfguV&nD)k&AU8SK(p{~+p$4XbJ=2+<}H67~_2affMwrQcR(nr&DuF|K| z0OUo*XI|c zEMJ+jvOs(>9WE->^DS~!%Wbm($%1tg#olm&j=!5vfVE=&Za;zfdkm3{R}dd=UxsKo z0R#AaGB>Xxen^&AF8S^Q-@=3)DJu4p6I^AULb=oS#R*uBNCuFhRgzX$QR9YWp|n?X zOT0%GSr?Bc%d|SA;r{o-a2-5w7)HYSB3rQ)I{>-7PxV-QNJLA#+F5-r9{s$YwmjF9 z4=j739R;^sHX4Q1ypHV_G5F31Tq~{`jaFr)i5)X&FhW&!&Vb%Mf(>^}%$vpCGhFA} zJR9M3+A+;MjPL%7D<`Xs3+;$>W*yV*}ZC&g8|@-80Ri z{C$#e-)}@!c{edU{M0C1yN0L<9oK=m2-(NtrJ0yc#cMMiHtS|=(TKNZVw+#CfZm%a zIsRy-Fcxl>JJrw5#LD4QV5}y@{WD#ndKM&6JC2IHed1<~z|4kGO9(HNy`d0&!0x5f9x0lV@5l9-r;SJ{OwQ zHQQGzcUHXOLr~THNK{p_;JTlvU}u@bfj#L`Q85R-VJ{L_&cWCyb35#K)?pLB&$fF- z^&GHVCt2P;4tcO!r3Tp?ug_H~$DM5L?l~f|L|ie`A?jwi#C5afjfuG=5=cgM2{G$-Lv zi&wmq;1#bWz?{-rxG6#I#J`1{Ee)i@Ht|(LnHwyL-w@Z(Dm!O1o$D{>#<>__ z-_fku`^`v7rx|dg)nRoO+Qfr%NvCC&M?qKfUJL|ZYNuU5v16`NJT=$jDfMm=?@}RO z&;Z@jHwuNw2Reguy|ljn6>0s?k*+jdO4rtxiLPSzXoEInYv-Z29whV9`7}{- zArr;xiQV&PptXUp?xryyY1&OBds;yd2ESpnx~en^Pts*CF0?Ea*l4E=N7Nb z^Gee!)neZ~vJ_(fJgJ`Ia}-^1F%??%E2&uTC8~C-Xqhh`b9lvb^PwgcMAG%Hw4^X0 z@PE3{$C1{e^BmZ$^oqyk7m4=y!~rRT^giC3&-Ue``O3b0I-kewSMzBYm(RocQ+z#- z9)Ep@IvNM5H@d%|nwp1c9CZv(P0g=h92nIG?%o9s2aQHATiv%8V9dQoIqE(n6WaR| zak%R)YJ{@O7cEp>b@@W{<3}Xy_Pc3xwLb-QHd^tp?mr88Y_T_UA1M32rJ7qWA`?;l ziER4|l75qTd!cKy&FK~UK(=cqb;_Q{D5&0XWouYA(cfGQl zFC(_2M~K^l~}!~47#z&RwRB# zS;Kpykh5VQSxP*vmD{)XEmqQcXfb4NB8AT z(l;Y#;?2|CC=)~bG#=Wgfz3bU^#3$5-gO`#UZMHBMp$$p>hYa)MynC$<9*rNtlr^rEYQwsSH z;)i6XsKrJ*3><6Hp40FSKysP5F9ohh4=HHXB_znf2kAO+5nVff9i@c&A&B<$5>cCU z0ot#Jmk?zw+bX%=lfqNfn<>S1r`16(p_KVVR|@gbo1*OieV2lTs?6|n3X>c_x!Yx5 z_DgT7?*r1bp}o`yHEF!POl<<~TLxi%L`Jcpn;P2GMKh(%hi9gn#4pQ~QTYQzHMi0D z8N&1j6)f}>JMdhzCRJ`v+?ERc`V?hHvKzm5S)ohpU&c!D4doj&}S<@}{q^V7UOP0agOLd9M(|qDhWE*^( zY(?egH2$l9CwX-IAiIA*UH5zh*+j@XE=k|yvEsq_73mH<3vu8He7b+s+?c+_!C%^$jv{2I3|vXow7*KCmg&9eQpdgoMRN}{)NB=d)A7=dlFx_f^rFx} zy2tADN`aSWkfu?Ww)K%bs;{CcKrf94GRR+2b5&CYrXlJ8OdAauYBGKjB~(|DmNr~L z*Y=%sZMqdx7Vkr2H#~zE%|B(3yCjB@r|}Y^kgAD?(;04Y@p7emw=IWx+d(W1RFQ7i zwqkZS6_(Jd?WyImk_1)B?c!2%+a=E6K8Gb@SlQf() zmyovB<2fP9|D3KhJ1J(@D|Fv=B`rvyzT)moszThKdA=2I(L9ogF@|39h@F|xm?ttp z`n)V+J1rjRN!5p$u1zk{iVh#K%z%5xQ zUtF05NsBrVbR3|}O%G6Ju)!1eQ(0xDrB=^2@hnIx@1!!ee*J)L z{kS8uMC{FUh%YlstzNG-)`v1Z;=wE|WU}Pi^usKA5v~`-cUGd{_!O~p8J@gSIkbba zE>&ERCLQq=v^h&rb%ykn;=5@XqIP;V1_njlH+_YDE8RRaeI>}~?(yk4;^pbNnB~2z zwausxrmqq|PR|o>oRBYmJfVQZO{Cl7*I30}@$1Fw@mA4((#A5oqsZ^re|S=%=$TU_ zE}DxMY~~h=`xd~T={vbZe0z#r>|NyF8vJOHL%h1URJ?tvQ|wG~VRgL3EeqvePS!`j-YUFPJD5w*r)WNwS99#df$96e;%KC0i)Y-lj2#h&_fnbK|6~V9c_$-Pi%#VQerq z8@C&)jkTsGbAzcaq8YDC))6vcN_an-N@T*Y%uIGw3r=r zCL*XawxB^RXc{%I+pv{V*RE|b6l7%$zo9(xjO)XX2D0Zt#y{W=>mBkd#!A zICJKL1!)V?k`~ahZkHiB`@*E8DnoAOf}{oOlBtkvnS>ikUAG`DEe#Qr4fM&`{RX~Y zuwZL;hq2GNZf2!n9T7Md)Ec%XB_%s@9l41M78JEbH<)ThRGS*cG#p+R;oDGQXa(~X z#zsRUx`}$OBceUJ9rEZN*={UHe7m{H)MD(8=rC5B+6{xoCewCfZA3r*b(rfSyG#|P zMsuriLEEV9#^I=e=w>sz+Soc`-H`FZdQ+XTA)+z5%DmmQE2`eOYeb8=!q{o-iyn*` zFjq!(nYv7!rjCd@`L8pw0v$PE>@{|qI=9srTB5d_n`0ZyRk8JlZy(WPtS}54TTR2} zHp8Ci_J}r9SA?$(ebW=UVQqC}d_zpHp)Y1|Wb2p#b9uyop~ui;Zi=aoYy`tik+p|c zo4cawO#LJ3#x;)IT0X9OY@e~tu&&Ke1r7&Hl~KK>a#N#em$@DysKCF3#2#ZkhH>>_ zwNbT(;mD3CccZB`qGx=&x$f`|&=74 zT62}L-aKsRgyd_D+f6lwUPFCUzp354$Jk_S!KiH*(G)d2V$i(ZSOr0KN0pnJO^wlQ z#_FhcXh@~G!m!8GWZY$LiRd0tKcNd_x^ry3p(?U9vVWYf+}Iwm$6Rh0G<1&cj~+nv zeUbgq9fo>Sttl;g08MaL89JjH4PB#pBP$H;kwa0vhLVyB^PsuPRBh@pv>VzY*Y-g& zyCQ0gn{idK!Y?!K+pO?gj1x)~{y@WcPn(X<8TT;$j&c0oRr&$O6MYJg zI8O0DxJBWKjMKI%Je_gpHihRguEjgybS!1u^-qPf82c_#IG-^TS<;`&IQw#i&tqJB zg~AswZmClEGR8f4-<*zW#*Nc7+=l`(9S~A;#UWDf|rM4!q7vM+f6%yvt5U z599WC6~?nS*}rw~DQujo@Ya0_$1=|TK;g-ZTku*X9WxlO`&8itjB~$I_%y}^{R*GX zxb|y>S2K?JR$(jSnQM%){8GlTYZX49ah*-!iy0SfQur#y8@vkN$hdKv!gnxk!~3{& zG%}v}s=~W9+^H}gBTD(K{ZQc#8Bh91;hz}C_b5F6ctziVcmC-(f$_{Q6<)-+@>_*h zXz2qAZ(!W>ox*O$4L>Mc&UgqfEz(iNc>8FDYZxaTt?*rpyN_4+QN}al6n>U*(LWV_ zgK;c=i$KSI#&wq}{5|90s}=s8aXfyvKu7d6)&AyxD||TP>>UbEX54bC!tspP-mdUG z#-d)~B*sm5E1bc&ahJlmjHl5{wm8ma-1dmV=P~YjRN<|Ro1Rek3dRebQn;4!q-Paw zWZe6b!Yzzz_bU7{|})-8PCK*osQ=i4>I1%I1wvCI(isyg_BRmH;l)huJA96TeB68 zoUY{6wL;->8ZJ=S!nkv_!Y46KI#c0O7(32ZIGyp(ISLmrp7=L~H!^OpDqPAqyHMc^ zG+eCkWsE!Q3g5`s>{Ix5#?6fH)9A}o`lF0nwe~|ebIDHZ0I>sqXZ(;fsj9VF>!?-;~mA9ENrWW7NxWRD&PQpE( zODHa9Y`IZk3Mf6HPT`%5GtW}^e#SBHE8N1^{ky{LjMJ!LIJ$6Bc{LO2FI<88$MI?&5Y}BQTP?cgYpM@LXcZQ{C7~paP%=A9#;5w z#%VAb6Fz)_B;S9!=-zZFO1eIs`R$+1z2v-a!Ol|?; znKcSmY58wZ_;$vQT7@5CoPC?ZFEVZ)fkJR}G46<0>7O!ATCVUGfuur;YgSrqMy{O@I=N^uW1Mh?qW_X{?U4%q%(#)qLnO=+EjtY-ctAk#_kCUCotYR zN#VsBo~kgJbt>Ivk8+v5`tg8RP0>6#kcnk5l*x#+lrn8yNSG zSLwGgE@6B10OQ7ERr=$MCvyF*j4QEsNXK5r1^C?z9q%#jW&8!>B86$+1uQrOp^@Fd1bG%?|r z#klq!g_kgHWP7lZv2d&Ob&NY%ze^bp%~k3DVBGzI!dGgT^?L{7#!prHgN$oC6n;ia zH>>u(&bT8&;g11Fc$L3~aRZO1I~k9!Qt6K{?q~gffpP5$mHrOnOrHNfVO;sPO8<^=<2wo) z@R*78w}|yIhVjh9Rr-;PTc;^}9AihG!V4KUSrkrV+{W$CW1KKcwRZ#KY4Hj>7$+X9 z@HWPcQxvXXynUj=^kNtBJ2*|@TN#_@DBQrfe7wSsGp;#I;a0}m$0_^@P)FoT_gr;{@h^1><3oR7vl%!q{x#z!PCvjncB-Nu6QkOnNRBd&V;Gwm zpTxM1@nXiEj8A8raJ0&Q4&woqmxFQD5h{Hf<8mHPS1`_IT+6tR@%@Y^@px)wJj~-VtMv!`FTA5#&|sQGaBmz(uZ|i-bBXjjN=$@ov-*mg>ftQ-*OG}cwVLD zpR4FMGIldR9>yJ1DUN?KF44vVlkLxEjQhB}A;vzo4tGIXWYx>y~B8z$5RjE5|%&S<&^SV!2KuSmymqxx&LV0Ksbi;Ph#A` z`aFa2c<$ds#w|R)mobiJ{m5qA#&|X3T<)I|#@(zhTNuZ1doCdipK2gALXPh$#+khT za|`3vWR-p=8}3I~!T3zZF?cDPjv|d7FY(e*#<*#g%3scSVzuJuYQ_~7 zMSnBnJy$6DI~Y$}uJA*Qd(Ke!ImUGts{DHyx16T%KF0C?qi`SNe)?z$jvpC|uN4+p z*HioZm_CMa#W{Yn zQT)-b$Ov!0MPd4p7~!M>g|A~AU#Ifl#yFNXc5yt&xH3`UXBZdZQzLY|%D85xlIL3* z{h&(U$2gnuCyX6dMgI-srezBM%GkVKVKW{W5WlUxs=Nt|tIkx|!npHqivC0mZ&3IY zEkBo+!q{?^N?*lz0jHnCIGghqGd8CvdLQGMB?|wOaWAJ|#W*0{d_zzjlYpAH&!(hvmt* z=qW{SVLUTm(VxV)#-->NGH%aT^rva~T$R3xaUa{Wa~ZdmEB;CtSN~m=?`GV!QRV*! z<6YG%{SwC6=cx1>7}xUn{f~y%D1IJiTz96zFEP$ttML1b1BEeB7>~ie z49RcWMwLF9aiT-g5;Q}kCdZe612Z)DuJRN*?t>&g^;1LJ8Isq!9XoaTQ z+MNn_G2Zo+!e237_qDVBKbCQ~N70|eIP-gzzL;?r zzyEML<8}Q0!`X~uncmL0`$3hzjB$CbYX3hO=dylX!MJ9XqQ9Q8xKr`7gK@*O8<)Sr0EI|F|IpbVIv-(l6>o4 zQT&c!+<3LZ$1v_bSJgj*@%9T;`h3Pom8w6MG4`>(<}kkSDwX~>#>3?*e+lE5I~DdY zPPL2~%6|>xsznO_oAKa2MPJ9blHV7*mvQVfs{BV8cRZo+vyA&272eBu z&w~o@(=f~TGsf;0RDA=C+j&0!m2qOD;x7Wv&4~Z{RSJ(~oVGxfKb3Jczb`YNaqMM0 zJ{dPuD7>0+d$q#FjGNdWFJs)u^F;;Y;T5X>YQ}DS+m?<>E6N2fz5k3822sYulsXl!|2#ycI^Fwe-2+j$?e+$8-A=n#& zw}s$~LNI+VQO|F62(Agibs_lf5d1(0el!H{4#6*k;5{Mu%@DjV1b-ZYzYM|Oh2UR8 zu)z}C{>TtKCIlZ5f+vUI6GHIJ5WFx1FA2fvA$UayULAt}7J`dIuqy%Dt$(uZg9 zjaji5X9vzVaK4H2Eu5V=-^Te4&UbOryFBmV#3w8TO&8rb$*rSTf$8;MdgXUNPI}e% z6P&c9rT2Y4!}&SR$8a8se{xNp#`*u2b_g66u|8!k&UrZJ<6M9<5$7VDDL9wmOcm?( zKgU|1N*|hDpQ^qzy*@SYsp<9jtz+O@)9XWiv$Z~b<$8Rlh<`06G$_Bt#ehHKz=(eG zr;*7IIdHu8;TMMT!x?m6h~GYI-;-8YewSRP;4V{^B|lcaO5FxNohZqJzAsHN>UZLL zhB?O1v%)&IRfL~&1^vt`sOO(!_=k#tO8t%6Wb+;B3%o>$B;9A{I7a)Zf*-1%$p%C1 zV_p7O`m&K9(3coB;BP4^lfRm@2M8%meLhi7OqUv(Sh4^$zMz6y%amq<9MM1Mq}#K2b_xeopW2P2kLpi(VDUoXe$dXQs+ zD%ZZsp_Po^*6Nw1Upvb0J90WHnfNljsLK-Djm~f+7?$Sm_s=>f6wqn|_V0 z-3Go2r^Vox$LfRF{s{Vt90U4cJ$>yu0O@mBK}dZUo1)|w)U+FAOejj(lF;v}5gmP5 zP0`VvqEmn00Eu*?66r3GxK>urpM#=Oc6A)c1*u)eHy$zs=A9k2($dM}rm-7+#18Reyh!U;X_t zJUXSs5E-KWhzZtsL>xln5$pc}FAGKLys~phB}59Rbd4kQZSd>2#t2ad+U!?WEm^0T zC@rKB3RvlotR@Lyd?Uny@S_W|FgFvzu0PKM5p;RuZ@1p|yJtnsFh#-2ht4poH4 zB!6`hP5N`kd<*^-l**`MRi;T3q_a6Pl1+}hXP1TUwMJ?8N|XFZoA0y;p6oQJ z>9vOas(}b4Aiq}mWBjg)KSncE{s^7C5EpEyC_;WbP_;eCW+ClhlZ8m?8-K$j(6x&& zb(d6gCf2o!lJ(8S^Lf`|~$!XKk)t3QHA z7+GV)1#2rJf;1HPU=2m2-lqVRIx1ZX2BaubM;PlE_bVhbK&1Xw`W1{51L}l=f*EJz z&l;*YltJf6{Gax&Jeta`?Vl)98qq^4QX-XvP>QHTk*Pw-EgT%PgHWlEN|RKIN`y2R z^2k^jN~xYq%`_>M5NVW*@1E}a9If|T@3+?b-?u)ka$VQn`?~kN_r8X`&*`@zO91!q zi~pHM@G9`K2%e08r1^6QP=mLq7>3Rj$Xoo+2?T60G=Crx{`3Ke{>&bLh?payc)0^) zhgc^R@LMP1iFE>+mp2fGP8$$T9kK~Tp;Up%8U9VmFf?P}OBjs2FlaJm1U9G)Pz_~7 zkccT$;IJV^4MhNMsMTOWAb~l?NT$qbjAY6Jm~8-0hb00=rYw2D$dn}kMy9L)urUC^ zLW&U0|8OXvpKk@m9|09p)&%F6vSx6ODQkkDLorx7)H=MwUk5I@LxxNJiDLY31mu1= zc&PCQiZMJiqH_~K5=b#9g@yv%Ga>1jf-FCTF)W8>L#kr`4rCCR7?urzCI$is8cf^_ z9|MdPb2tgbG-Gf>Sf(m`6vMy-mKH!nLZSzf1SFI~NQHDAf;vnM#UcWC{S5^c1_FRl zMS#mNLo}d-ktyIm90Q3WfdvMKX5eTHBROFjVzXh2h7!aa4JU{>XyKrmuMa;MFytW| zFn%+_fcGa9v`-wOr_^blh9Qs5df2%?B<6NXov?K1?Vm%`RSDr5XV$`xLB2;RgM9R+~jAY~=% z8IrUuK^j^Rt^g@!!eJ4H&_#`*@!(p_dWSU-ej}>DhpmfvxYTh2FsJ|_4c+euOa$ZP zA`W*M-uuXm0Aye{;L^ZO7D{N_fHYaykfdkZjg5d{q2Hj9W|0qpD+C92P(q-|U;!{O z*l!v<7mApC1kku!fS}zBB+0k}5`=yL&juR-FjIF-kg22tF(_lgD4+>)Eo_3~5&Vt8 zbD=26*%c{4mOyKOsxhW4K`fQ5VsV)&^itB=fJSw!6hUi1v~~MQAI-VDv&qDRT#$&t1$LFI7b7 z?+kz|1rjlMKP`Sbv@PUouycU_VrB4Im;$#s&{(6;Q8^QvLnKCY#bUA+pf4lJAxU%q z3cWfM0Ro2=F8(-zX$a9&nWm881qHkkX=Na@gFVFy7|a(qUq+J-?}>$zLcAvzKxNWM ztQ7P`q&=W$9|5JjI0rUMxR*g>tl{p6Mn^^7nRYX<09Z1Ek%|gYTe82xZ#ZOk1sNJS z71bx;sT906m%KN4GdcqRB;)B2P4-=YW`IsXQ)J5E7XnaacyeqAF90vR|`Du{*`rLZG}3xVk=7Qu-nE(sYdT*PoI z3SN}viSh7D=+E_-Dlqi$T9B0rN;k7H)F@O&E+4=o?VE6Ni{An59moVDnmA=T%puv3 zcR&*8+yRy-KC1+43#?fl1E0g=5d0|rp(auQE?frJFC&s4%@a$w;A%cbA-yb6T{v{4 z86=1F5L2ZqcRys6Ti!3WQ5=U$2)p zCV&NE!Y2qyV2~j08HF1Nw-2OFn~5;cnWjJlBQiHXn!?70+rZ$DDgc`#sW#2xtd!=U zOQUI?0?^8jOY8Lupea}8smpBm`s&K%pbH#~fB}H(jPOPSDP>Vkn_Q4u7Kr}A&~kz5 zp?Qj5Krjd1X#p$H$rh*tIMQ*_3J7r5c|2b#1X>_J1FWC%Z`f9`1iX;TCcf+lydLd< z!28jpGeg1gr={SvX%hK05;8!@W_AsLCZQA@5z-+OzYs8U5JQ&ZgK(TAgAsvW6u|C* zR*jQnXLnz)LxA}W%w3p@a3kyru90E#AF_!gJmrhdOW+{j4JcYlRG=>f=a<(C=A?g! zXbp6N4Au*HDr&+c&FC-z+)5AN?ZJfN>yyZq(TweF2>0CJ$sm3PvUxmwG99>U( zo-iN7MupVF*b5FSpqs`dNLJ@DlsZFcFq9@(zd>G}SWhs>jxhxv4BrlX831$%cNFqC z>!eFzc8ZE|m>t?v5K^2$IspzD030-I3l_XDtd4b{fI(+aIMkpo7l2VfoEHb|rQwip zyu8rf8mud*1)sILaNs_`2Rs1|6Ka48;cXs_0v}Jb6C-9rD+F-Z^d~GpB|1VOTWS0u z9SV40UE|0H2xdnJXgdBOF}Xk(Kc1@)8X zS#qfD($5fEz3ZRb8al5iQn?zjc47CMg-&r>8x2>Kom>=BRX?-+b(?gtvylDf>qRd| zx%x{?S=%GG>c)c_$3m0w=62&Q+XiW9vd7S*+_J#a8lvt&}(a=U9{yI*Q=^SY%av}@6CgU^FP-Is5vxm`Y$TOKy*zFm4v zVNhvGwrKK!4A#vlk$xMe&-`oRl0(T0&Y5Yts6C#s>;XlYn}54%_%fkT(f_2#rNRN< z$he@h$7Vb-5(?QT;*=tktly!moz%L3s^vCMYiux#Kj>XvCSdvPmrH^7;zKd|?CPU4 zb&{&C)fRN98NZN!JJ&zsAB*T&w;qXw1|0jzy{9osReW~+X{kD0kLGDF(lqoodo(6) z8i>(0TlZJy2W5fsy4B@+Pg!n39noR0)8D8mzL>E6A5ZtTHJP0?%1JBrX4Oki?E0?Y z>XH^$^V!|!+tT;?hsEY4*vCYN_La;~eRXwYYgyj=6f=!ByX~?aSGS7V$klw=?foF` z<<0kN2Up*`%iiAcX>Yh*c|~BW_qJZgiz}w8$85a()J;`UAW*yBvCva-K_@x!kz7CGC8e>7M@XVvdx>LD?~B)s|(I8|P=# zEq)kg*0@l?ZuPuxk}a*GIv?E(gF;63#wTp->y^kKDXh6hWu10hXr;>Qv9nlb=Xe}B zG+pN5p%39ZhoALKoKnL*xpRWu<&t2RHRRYwHx&cX zW}{wmo5cQcE@G#QLw7Y*=Ns-fT9qB{I&7i2fMmh+6-jNr>^iCCS@Wc$#udI3Vu$4~ z%Hj6(ixvi(PbrL;XCWT8FnwBi&Gi7kkwPCvxHW~wO&9Dfec$rngiWV)OVKTtqpM;R zKF+&)=J7|5HCKw4a>h1aZSJa8t$uv5XWJN!WA8uhDE4^KUnu9Dlqv|Hv$h{K+3GOKzszo2XF# zT0zw4sOFw*rM|Pb#e|I(KhQ~vDLZZC=KDk{_4u40f3=2XuI({Uoo067^zjp=0}(Ad zN*xC!3u>l@IAz#d{iyho@KQW{yQR|k#AMIoPp1lKei~TovsEDC!RtBkq2iauu48B2 z^pRTflzU^m%BXw+RnzJ-XBQn6Ju^k_r{(w0>Er8Sx~7?diec*|%*S z&a}(T>FNWU{;>a`P1V)D6bMiso;Hm3gQwy$v} z%P!nhE^t^NC0oAX*ALF|Vzap0dgo@1>CZS?UoX7oSHq|s)`h!*QpdSS&QJIB$scb# zZjO#zeEa1IyANv^teM18_~~cJnLRu2dcmeg5yMojDE@9Ro>eCxY;bvJ$%Rj+fWds}T#d`@fM*D3o`*ka%OW8d%bxUi)o>9oCk?8)Tdvp@c+yy0iPsq1x_eL=0s zqTCzuk*69TQVTkA1^rt6oA2FHdKBw^%jnu}{r1_#Ir-5~3UpjuB5y}2Wf!tf9G?I6 zN%e)=EkQE(pXm#Chbe3umS20|h|#;O_k%S4=Bt199*zi`El(cDbKmcRGtdM-MgUmYgcw@>y*NJWvU=vSw~7XfCe zH`Ir*=JuY^ozay?$vS);w>Emtr)>XURwZ6bq(WnDQt{t!f*V`5?0Y2T8k<#p{ z`_(fRI!V`fSGH?+Zn$UlL)vHWi`r>f?SsA|=HJB+t#n-1KTIOyM7vDA$;Yjimam#I z_f;w@uRAOwNY3`_*R?h~H}2!+Ih>Pp(OQ$0`6~IS5vTo5;Pva17M01Tciip!mR@*4 zaKHKt0glDOl+t_QFM2;lp7zK(r6t&}*}co_y~Pf%5dEyU zSEm@ja6D;KU8Q(bB6z-1RanBj&lUUJT~e*(S_9o(HjT`hv*dV`esAaPzjw$bxs&ma!ep}tk1a0UBI7-?%e(MzJtw=As?ZmOs=4_>d+u`|pEPwl zs#}~8e_>v?e5v$;NqQTV%@d~onqB!*y=TdC=>?yrULCh{j9uT?k9dQl2GD&xq_=gd#Ue5+c z{LOvVH%Y4`t?gxr;zKFdEtW#ISvxXwZG9_SUCW0*d+@+hz}$Ak;I_PNTcVzq>^F{{ zeg3~K|3H1|QmhaT(um4=`QXXQsO&Xi8+`UHn~}DCYpJ?v9707 zQTfN}mdu(U^%a9M3-YyNoAx!ttknI|yg28G?OQcjhtE@bbb3>MvOhmrHCtp*BBC_p zKFPTAL+e#PNi8cHRHxRbO;Z|Jn5m&G6x%<( a`C0F$0wLXHdhf4JJS04ja@7I3$qyKe$l9Uqu9n0qgK5w3$Bp)?8Y??k`j{wlsd=5GHsZoKxU8*ga-oPVLCW|BPY0eaZi^uM>>?S8ADxUX6Kei@&W zGUeUxe%Gd3dsp3X{afGmu1z<-?besS^t#*lk-P#-iVrl-2>^J8|9!%q=}B#w;}iAu zt{+WLz7NyXPCYjHqZcR1Ov+xTcKo};e_qD(KjrgsE6xA!ngz!un{pm4piJZJf8J{s z|Ld36Ec=6>^<6vG(f#-8YcU@;$LFDxo@aj>E{|V$%xOF``1#g9>4UTQs4qZCroC4T zS4vjB=azSC_WE3Q+by@g?VT?@&!d1^Ny3z@pD`HVy~tpf|E+oJ-$MU;bI-BKVj+3z z-xLO>FffIIDGW?uUZ}7kGyw3f8 zo&P;Lv%6j`CG{`Thx*&PXXCE%+t1qxECUahH-77IpI|EO9Pa_9GBA{jVK_xF==qX2 z4FTuPwfPM=hbezSl5Ei!suSS+FU(E91Dt>Ee+M`}tGV<1clmCHaqUiEYlRU!4Kwdg zej@>A-SxNgZFsxT!wpQpX1G&%LiuYnCVzKcnA8nE{;oWIp2IcutJ50wRetBR$kyGZp>+zdgHgBzw>ZU z$?uaYaKV9;Ya|gyok}ZO91bN*Df9^*nxRUSE+rOG@ zX_D7HqW`hz5J!KtfnT?5?djY#*t2mLe0Q_-$NHI$r}caZ{XCLWr*fRDqj?CPjxT-S z$(?-*$Kd(9YVec6xb~z0eV4v^UVULnvYb3H49|>~lYweU^0fKVkyXjiw8fjB+_xa9 z_b{Jp$IczNbY*GF$g1w4eG9}#8^)|J`qg)ZK12I!k+o}2NCsX-{j?rGJgB3(9528 zGIFkQ9%h^@oqK0B)A^U7j_};|1}C%dL(oS?2k^TIyf0Z?8h8u%wK+0=;GMx7zA&CZ zzgYW-C;lk$Jb}IlG!;*X9|A9Y?IooxHtzrr`gE_CJC%#?Mv)EKHLDl#N9fD=`D%MSHc?CTb+KynCex|mOZcEMeBS$A-|x;{3@UF`WD&+Uts;L&6mm-m58#ZPixZRIz9Y988X9mj~$7H|k8~bJ7 z*e(0Uj@dW%%f6SrU}z`xtMEqk>FMt8?@S-6A*053=-Zly)5^NgV~;lG-rMQsj;%Ve zhHSR9QCUZRn+qkUj2-Nq>D=nM0~e!Phna_-{li!ABap=`-$+S+BaAdeU2YfM4_xD_b`~Hujdw?rhGJoKO z{H?j1{Ri&*&;FzPe%^qq)49y!T{Mv2;m2ywKc6QjvRxO#d(uy_?RpVoeC6*lwyTJz zq*s7D^(!Nu-+R2HyL`{B_$#W{@$?6tETJp*bzpO_r{!exf7*}S{OyX;7PFo3`7m;5 zb${aO?v9_KtL$0bJ^QabYxX@OJUmC31H960+kiiX`MAwb3g&wvxB|SYI|BT7XP*JD zJp=wb+rgaiJGP;lklmsE;7WAbhW^=ypSK@BK^j3&d>|hkIJSu%D8XTmCb6Dai^&(Th=I>8_K#GW!#eL>Md-P zb%e4djWVt|JyCi}bKySK6A$w(*&4@ zqtK>ha4^D{hk+rUeAYz_!{ZG7I`r$ZQ+#WVizqk#qOXsC zA=4K=Rtl4^uN;E$3Ule+Wc}1DqZg#G)gnJ(8aN**PkZ27hdo|>9~!SEhmggq_!fRd z=Ih2UZSXWFz(oDq-pU+=TVl3g7Xv;FZpwd&O))z2_oV531n@|A__6ByubUX2Zvl_x zW}rc3TO&s9k8%*`raJSnyiS-;N?+to^O0Fvqen+5rJ02`6E-vpJN6&7>Uq!Z^Pw{kXPDXaN(gyZr;sI=|`H3f#2ENke zVw@T_t&%k7=c+Gu{)y&m{W6|xo^n&fE>B91{+{;2vC94ne~ZVtZ~t`Vl>$HTY)Jmo z7kK{9hY!ye58lh)&GhKmd6>MwTrwuk7VlP$%J^OjeU>({%?OIWrs$9cl>9H-y)i2>Z;ybvvo4CPNZ*NE}h9-67mzj{7AAz`5*ZM#@F8dv(AFv z!LNP_dl>8Dlfmii%|pjMZ}XG*-k(ss*Lg*wZDo2gM}7Smdzststb%@7+p&Jg{~RO%8}~!kKTD{m3%@h zXHE3z>u9CNWy#RUa@JqgB}2p4P9IQSIbOH8LwH-|)+>guEe+hp@7iU+JRO)jlX_*I z%SEg|mRv-q&qX}(vX)%L@N(8~)@>d#9rkj z@0u|%LS4f_SNUeGhoy8AUT&l8(TKh(d&Jcn3^Z5Sykm^!@Pn+c!E zco5uZ&8Y_Nkm>p`ZAYNP$DT}#pNYfMb*F>$aat*C5;+ULq%1|HAnBfNfv&jjtzp+J*Vx8>BF{rTf+hI7Gl&7ojz59V=`MI19pm;9P$pkJwNpGB^g68fWOOwB z@y;$6SIB0~Y_?gI4VFKu)89~>MdSASaSivHt8ALajci)w_Z#CL1AK;W zVAbE^`@{TgdKSJ+_gawe9$pGg&jqKf=hl|8cVq1bo|NrHM%?cY`QMUPJ^yq68@WxO zEi@Ttor3i|zIk5c$J8!KhW<);JJ;h}a&f(ri@|xRTs(NuwvJZ0z`m8%u5FSFjk{g_ z@hrKZdtAT&SidC?r+1G-?|NxYx5@}^=ej|+c zdN=;B>$m7}rXT-}jqy``=3zCNQeBUS6`}1W*Vpp!`<>tyJ}Z6I=`zu3u^+e8)d~~u zhBF>1t!aH`xjgl?_JS7P;vH=#+Bl=F&r zfloi5!+Xl)#-7KXk+S8+w(VK8YioJYA?2$E`xd%2H810XW&hjD_+a0u)Y&jr=^!uD zbLuWzqw?}T*tfvi7Rk5rIIo>XUTn|RyDDp(zJupXr*17@eW;SWchS!BhOz1erJ+H- zD;KPFy7vo>yqKO>*aN3JOz}kd<7?>C+Dm5FHFWXdDJ~axdKlAk84aDX_k45;a&7BK zn_k|cQ`Bck^1c{*nbYrrFm8Z*ZE5I4UuLqj0bW+y%Nw>secH1t{If`h2Y9FZK7@nh zf@J(~$<1%D@5(XLSLmO?zN^NP)01)N+?e}4t#khw&$lsV&|6#kPClf55_HeDzAFwr z_9E@Ypx;^OBI&iWlX1mPgFOpuAHZPGmAiKKT&1-&i^pom1bS)R@XB3prS6Wt(i8tu z(%SL@_~FWQ-$*T`?OP57eH!RJd^R#WHyPhre#;@jaX)aBy02M8>|<~kk6}A^_IzSj z9PcGvPVb8Lf(?Isj$r*3G2d4DF`R*yzX&)J4%a5*e-?gguF}cEp`N`a8NWY%CY>Cf zT?l+UvpjCd56*Akc<*AzUmy4FZI1UhY=+~X8x|$iO^d|a@(bkiq~&Kd$~7OYb!sj) zFYzjU1s~hWGW!_YGXA>w_uGW;I zFZ?OfB`VY2v94wEBjDRd8#EilPm&%&hoXn5C!DP;4ZS#q^ZI1`g)y8ta&>A{zl41% ziDx8Nk|X@jE!+ zi@(1f_q{0@|62HseKDJCxT5VllkvU&*@Ut~JeJE3l$-3>-j$>02mJR2KXjFbw#RU_ z!AFo!;UlHbnv(g{0Vf0W^&jK@+VTC|f_YMI^PG#0=wqIJ4ZaUBSXov_cz%DE=BIV8 zHGX{;TBh<6`a(|neHjz? z=;7fr{NL!^;nk9vjbpPv%>E?bZe)ei$HU7T?a9kHTeY;&&&V0Rth3SI$ZB7h0_xQff?(zK#y2l4+mB>F%QXkDOpbOF3NdHM=2-QoNs(B z`$5aL-Y0)?J)htsJ`NDWd=BxE&sU+b-o;HEt9OGZC-Aw3Pk)6rd_TzNZ~1(K&rkUz z7=u^yxr)zw`J8~$dJUg3gzj+PH2lR5&IC+L{YCbe@7ke#xRdl56$frDpNj8+|At+! z5mVaVOZc07TJR}rs}p=b_H>09k{DC^tWu&L@ul=v$z8tCB&4**KKm+_r(4m zJf8CKo~xamD7D%N#qpv+zuNZUugV^4z4!et9$kM4z9Vrq^n384M;5pEj*1I*?)l?p z-{oZD62*}v_!3<#e7wWMHoDrw@D%Wc+(S+uitB;pSz9X(`G|sg3FFv!@@f2d;#GZK z^KUpV{#8?~qJ zy|ekMe`2VAa%=rOddb$RuhPk$F5lktI{^=Yhln>VmJ760F26srA1KB`dMDs24?m1I zp5PZ7-$rt>jlKdO#QY=QZm*YvBHj`&SbrBZ=%YD&v`wFb6ZBcy)QXq)w&`!LkA(_h zB>z$L%y5GI=FQMBfEN#fwkN=}hpMw+NS9;<|WKg)~3|8SBCLFIw4;RS1#@nIs(97brtlalb zAfw7D2Aw4zyoe7c!hN#D>(iSX`c$yJk53a!8U1$~&*jgCI_yz@M=Xb@U(J3B`2!K3 zyqz|AG^uRDKag)vEE4P3Yp7o+KR37X%q3Zv(VuaD%Ilgw>1fEb#b)<3*E=t#p0%6h z+Lh2lsUDAXk#e}g$##4It-0RFzKSGytI@X_`kd1kJFCmI=gP*JS6oMHQZX#4&WqrX zFOr>Sb}ZatTO*Mls2uLr@>Rt1&gX3Q%P-_?>a^4^R}S~{e6E5?YGM@p@$ebr@AuL1 zRz45&Iix`-yAD5H4u6H;r{aHa=2KoO8jD+Er7z3Pd%a&`&*8i38n?ed@OARH$Yii8K31%YoDKRmR)<*j_)uqUBZiLq zU9Wzrr@r(NpI`L>x35ky@CfmztPQb^; zv0>uZk@>{3M+^7E-($8lyR z?4_w#UHOMey)w(iIeW?Xrt8s9q<7aGG8l?>dFqNFWBE~g2vKs;rfexe%^h4-pua-<~Ni1U3ACHPjr=z zyQ^!Z$Hf=WWt<^#G%vsfan{bhPno}@oPpq#><7H1I7{nwnQmx#j=!JwL*AjVpR`_= z#Y)7(F1O9R{*K(X!3s?+-wloXDQnh27m*ui)7M(u(NUZd_LTnz@NROJ%~ebG&Vi4xEkTB~)+{}GecYxD zpPl3RjPuFqnVvbXY>lU-yP)YPu%Vag+9ML-E)he(dRf-rzmZy5{YE zphv)y#(Q_%$E>7&;{;>&#`Wi9#)Lk(V|uz);Ter-x(?d3$<0PB+QTzfvr3s&bPLps-+ z!oM)l9WssIT}eIc$LM(3?>*U-Z2eilUse|=ub%c(O1L}2?{`8^NY@?aTksBV)Ly5? z9t_iOJouk{y79}kZ{qWOe#++t8jkUKn9o)|5Au<28^3)zx$)-vS1dQ)=WQywNU?=% zm1J3RJaTPfcGqN@z2T$aPx7VnxW9M{dmO=|^tFC}`bu>7Oy|FkBDXeY`7l2Il~3C* z-_!f}+PBEx^ry4o_V>^N;e)o){dw(sLwo9^?OD?Z?S;?Och)%c6Y9w?(jGhEQy-$2 zOUG}&fSAaiO)4v1n88`BRvg{ew{XnPATx*UtPNbAXzd5Q>28RyCob$GU|x1V#GU@U zcbR?9*bwda+)-XQw*FN1Kf^~mSTA5b&ei>WS9dMXWY5#SXUWec*Bi{m~OpXc@YxbG9)Ykk543)LsM)_pr^ zpSM;9=2I>^uCwh14`-xC;0=QbooDUglUdXgkA(B>>Z3wgph1HU>o_Ck{K7ac+$Vmc z{bcq=n#`f&MUxO0njaz>c|4{%Q}xzRkG{o^f+IJEENc(aOn9OZLvAO2+yOt_2QB4$ z+Fm2R}X>9qB$Kx7R4dnuFy9V-_DQPbORsdd6sWH5Ii*K}!`u=2qJwRi|Lz0(cxNBf( zQh(n9ColV#vL>T?rP9DQWbi-44((^-O)K4do^$AFK>q zK{;~v)8swpTbv%xFXf-GugK$SoV<|1G>17ec4ba6&SaCVF7s@XVdTu_iVUw6Y{;5q z*y=KuAjc!f`Wl`SPuF!nk-^WLUrJdMtU#ky~kVaO3J*x9Q5#2Egx`-&j+|Q`L3|miQl>2 z>%NqyBx|hA?%ebLHm_SQ^L)0<#oD&#M*FVVe{;~srdnH9Kgk?o^6)o%wbH-YbCQlD zUK8&UQ;T<-e&nDpf{v)c<62ji zj+-c!{Q|Lrtu4R4v2P05HyM&2(N0$k(pLKV63)X_biO8*YajRCt2*G<9GQjVa zx;3u@U^?~$=Ap+=VZR^s zl9R!Wuirs^o&BiX(fzT?vv+*m+8~GItgOu*wXxsW3~-UW$CdA<-2E1wsb6yCUkLR} zz8v3LV}CA`cldJrT$O(|l+W?y^IZ9-Lpgq|^*_s%-y6zjQ7)WFM}zbACxx7j!$a*{ zzc+*Z2|mPN2BMuz4`}{Pvv-YuZ;GiPlMmzzBbu%5P4Ob znbcJ|GH19>R(5^D@ag*qZKrWo?d`xTJ>u)%EV%v$a$|eXfax^k^dP>T`l@z_SAn1M z+S&eZ^?7#l8G_(Pa^B_1PW#hoW{{qdAsDJGl)V!B9{MmT!Un-jW!p7YDgMHB4&-8OYwvlI5 zOb&hO(kXc`2470PepNIRJk#^x83rEdl_k()3wN*C{ws~^={Ff368{)4Mq>%D34CGr z_2t^DQ9`GD@no+F}uMA<@9jhn&rs6YQ$^NHLJkYnse@Te>&I+B~y8 z%F|tbS9QhD3BOHt{O{p%GM;ph7uWAu{u`TPzvubyll}KX|GmV2FZ18nr2vb4Z}6~f za^D6A_R5~!?C@^*iDbg&&2Ni|O4GR$th;Wyo!CM4f0=NEZn9jP`t|aO-nDaBo#4*O z1e2Z#CccFq`xZ?6?&2Kj;@env)Ere$b5y-E9qto!m-2u6!1M9l$UWcM`zm}l+tu~l zL+RsyJ+1c&O*S4-4tEZ^%%3-}f9z4lECZM5%eV2J*T=!P4ST7|v}=Ybx_34wN3A_( zvfI*i6WQ-Cn*GCn3H!9M2bENpP#*3Pz?TYe1z-O`wcX?G$fM2s!$iN-XX06C8|I{a zDe3;O`_X%0&8Uz5?3co9^c7iLA;ND{g>zJ zPJr(Ex4uX@-_lz*orG_qztO)p@VDrzvBKDauBmOnW>sQb$mR+c*zbd7=L_hrHH~{5 z&xA|CFF&iq{x#Y8cQVdFWFWw%Z_P*j1b=}1#LydoH^32aAb)^-BfJ35h?X7}(<{LK z#D8aw>~%&b4YkYz{T$C@(A#z!A6(cxyk1V{KzTX`>2=M4I_$ zB-p*YaVytfzboYty;xzJ=o^ z|0t5>#{yjz=F_DX^QL?w(IxVY%qI%^2K}+u>(hYe?|%a^$o}3ec>YZ%_3ZUADDu!egytFaUA^=WSqGL9x@+6v5ES^|34Ofx3WzC zR_1&VlZ$3s+E}kk^L(>eZ$o#D$}a27oNTo6a|L^)#j7u8Y{d?OMdy!b<6>aSMrm7Q z3)Ob1Z)^2Jtc6}33_c!kC>Ecudh~UibWrHm*O!l}{lMBUQPEkHhzB$e(OC1)+Jk@aeEG`_`K)Ykaf`2qo-Dl;1tbO8Jo@YL`3o?ooCecmsD7J*-^ zO!SG`ggn4+gf@B(?n0aw_)u}eoQHKkE523eJL)I+4muxYdd%w$v&m8X)?|}ezc}{< zZune?-o<#S z9R{9Qr^a^p7GR8YwfQ2l!{V_P80R(gNRypg=5^TfeSFu>&SmOO*3RX^b8-WoYOL3~ z96Vj*ak4gdeUN3*)Yt2nmB#vowsybM=}srWQ-KdnAIlI0-|;v1!wkIxU$OF?cZ^kUJ8dir+YbV4qN!jzIfYF= zc@wUJUf$czj>bF)9rk8yDEGbO+R$1N??*PYiT5)$G0SiLF~4Q%PL}tB-WowB&;QqC zi_uUzQ+S${jd3FzSZ==mQG1>&mYhi}i4LmB&xYnr`dIcY%#~+BA6NakjAhsy(_h$C zqhYXJw265ku`@+Jir_j^a53-e_O|BV`+a==66(|xJD!6r zqwd>Y>FY*35pwlQqPl7m$FIR&X}-tPhuNg4j%<3&SzZ*2C2Z{uOxBS0QPex;A&D&C%$&&_jA%&;M+OuZx}j&j%lWO1oxiSdnuFyI^w%2;5S<@CJ$D@$FzGX z^fz!1}$ddE%Wuh^%yBAh8)-Lg;3`n9vVE{8wp$7AiEbCp-HKI_)hw3e97p(yWo zHuRWG-Eh{&@UFRpF>gtRbeDwIAV+W6JT%jC3Nt^!Jnu?$=BLVf9(l^RP8WM`?YZ{% z>N&aF+~@3tw&&z@?YWYX}O{bJ`8J5?m6c{#dH0hHYx1HA;C|| z!w+`04*i~ub6hE|{2t_@cH};7OpW`SjH`AQyWHQ%L8`2DLUb3zB?ae+DL0w91iKHu zYqv-)u~kuDD%;u9%3p&aZpfK?@E3~a5a!++Y_`UL1`lv%Y$kd;-9rtYs>G;*(e_wT z@3ZiOayt*eC+xF+2WtSAcC9?^6V)qRy=7T=kcob;E2IlLW1Ovv?5J4Kh)|I!+)p{lJAf954S$r&bjh>#bf-N%MBKL0jeAXkwIX0u;j0XLh zp6gDS+uT0wA0HFZI|uffe{S$dMrj(oBX&?Mi?Gx(HwG)q{Me*nD4ZPM78`Dnh6 zP5|2@JkRS}IY0%$y{{VffeJ8%GzHKcBIk7VM zN8fq;RbArt5t@F?oPQPltS|bxl=)d5f1VXQo9>;I>|I`8vzhJBH&zfSy?r#rAq&YoQ{HVqr3^W(Bp(m8JK&Q`|rHNB*Jp_ChIvf(*(Wj8bT zPgPHKba|reby|eegPm@z!r5eZR%itN$eZJw*Wr`0U$W&H>!z(`-K}NPS$^y$x@k?g z6m+T6llOU8O|Rb5s^kBd=M(YaA7<-Jh7W^`cwYXX`tbZH`ULx+zeUGVWz(W6aZ+-J zJL_3G0eVVjM>tOBI=yxNy4w+3YO!U->!iH4of{f5)ab7j$2u1k_%7z#Y4F{Wvw#hF zL;q<%tPxAL&3}(*FCIL&Am)$m@w+d92mGEm`E+R?@IbbG`V71JfueTEQ&&vu9Gkc_ zOUF1z?CEq$w$4$|y2EJQDpR7-V9&|ivvoz92NF{pP$D7W^X@9B7bD6z} z*hllV3*_<#x?4j$c0o5djCqW;BIu#AmtRJ1X%+k9RyAneq$A`jWOPJfUHLhxi_Z{r zchC{|eR|(eDyQ)n^2KdVSs8|ZE;Rn}ek}ICH|%N2m4inAfk%#(ZmPrVi%XTL~`oJ_#uj}^6p$0c7kfm^|9I_>_3uc)#nUw?UlZKquQ)RwpMV>S4= z@TlEo*5%{#h{nO+zeM~tfen9Ew$4$=)0yg{jeG?BHuG3Rf5kp`h%tjMc6U*Dn<*J1 z&S)oN&o@|FWjjF@g1(&0c-oW7Sw5HJx{31^(9X&jfApr!Lw1h6K(?OMT8q)=%CR4y zJ2h|i@zvi!%-U6&c~=!3U#LUT>!*vqwD-5q%_GQ;_V^UGLoX~XYBvEt&ns#tA4qsW zuW8OYFCTsz4bIZpS4We8lknSo9@(MDMyB(?K7Ixqr82TE(oa6N+bSGRz`OTk>l_8| ze%Qm2@>@Y1W_*eN)>bzMefx!m|5l`9?Y_rZz(oaQmll^$9$E)eU9KQ}dHX(gk6K<|^6!Z=EEB;F88+`7| zkAS{0Z+rh-=RYS)-}RHAugTm|>Z<<^EP1p%NKQTQox8KL!51Cyh3$9F>L>ICXMP)U z-Ol#SF0g%+o9!c4tUT95I^aJuUYrY?Oze9nZ3=TFVSfSkv_HyuDNZiTXKivY-%P&~ z!TXyre&8cwf;2yo-lxgfslVp+;Z@nbCz1vFSReJB$8WmtQ@HNQ_We|2{1EHg8M#;= zPh$L#r;?s0cDlQydvYRs(4Ci&p|4m&*9PVVV_p=IySK6eYSG)QRR)7o7Pj#QsXql%G@>ub9fVmis?4F6)*yS0{KhRp@54g9~a1Y-1FGZR-x;sNwchWeeAc$Ug@?9tN6!xK=DCkMc|Ofu zJo{ESTIx>2!)H4jgf+Apxdvhz)|k85gX8M8TTi>j`vIf0>5BN4Ii>4r_AIPbqWcEJ z{C(cwlDs~8$T!c$x9!RJH^Byg$8106(9hPs4KB7rfA^<4wow*vulsJy|5?}Qr|R|j z3iZQXHk_+G6yo{4QD56=8_Fx8oVsawG{+FrzrgzRV**(%vjpfptB0hx#_&zUeA|0f18eVc4I8%HPiDmE3H2}Pi6N7=}b-R`+}R^6sO!X z!^Cm8n?KGYw z)@f>&txIm+>cYdyYqzcI^GU|L6V;uC9*6#6Zee{}lp>-`?Gt=uzZGA4OQY0BMG znkRWS)8BbAP7GuB=Hxv?{)1i!KCtpu+dUo1Domh&zh|p;v?sa;5YZc@6k9- zzBT=xd6Dy{L!B^Y=*R49wh#8Yr1gmXU!*?RL(&@pOyI~ z;{8>~zTY=wvJXCL%s&AalBtr;Mk&6Y-|&O&`Mk{Y84caMmwi4ON3t3E5Pa?-&*h$wa=6c;ftO+LuT2&&y1(#f@q#Pa7BBK=+#o66Tx4!l-pO~?3QU^IS1PEvgJwBFw)z6*4lOq{SDI2E&+ zy?wMHj~2(`0~g7o_HpU`fM(yaaRPks+L;A$0?!mDoH2g*o=QQSpz{KnYYIc;^Yweb zPQI+(&(toK0Dn6F?0k8>zYd%$4$!+W|NJkC*!GE8~*T3G+>uB(; zcXGAh|2cuu~Q?W6EAH0W)s zo>gX{f5Bmu^TEcS9o_YhAIIJgp54Q@XrudFMMJCa`J)3_ADx-Vw=;Q!cQ}(O-ecd| z{m3cLtj)~sq25yRYoWdQb$(ofpLWQ$?Sa+adSVt>!Zwm7%px0(9bK>cd%8D zHgu`VWCMzHsqD|GYODU`+jKVjHbxU{u*XA6ll1}Lny=)+-BN{l1bpWZ{ZQ;3AcUwF&o1;dgPC z;9=SsUvwn(qnUS_C!By6suS@-L7XQ(YUkGlU2yUw=FgSrfft%`prUz8ZnHrC_s@5^ zOPy<+h~~f6X3nGVU6KCRob66b&hW#l&F5<=v$o6h3_l6G5@cu4%Z~CG23wBr7x4Af zKSzg{Lxc<|Ca9P`*feXldrba;Vj(4RqK>bdDYlte58Kz zk~XKKxVPgr*l{|_3`_?pZhM$mHK^n5dIYD*R0>He1uV{cgn{+HuJgfjL*zENdMDO=v~ZE7KJz0{XQbPBq1ZGgw$ z`L*8XVU;J^4xIbx?*Q#f_}kx>&0N74D;i^@^P^0#uB1Q7#3-;;XHgGd0zcVc#jkRA z*-W3F{$>yOQ0)v?uY>cocApqNjLl89de!Ekhi3RYz!W1;w?qC(e3zK&v&Yo#AEW+* zs&BukuW#Sa1ED;xpI`jW*X27|{l9eM{&A@Pm-NGYr@IaqHItm21d z9#+cLPuD!)4d;fH*Ong!4ucP;?_OwIoz6J?9qvQ2zsa@QxALfZMxNHb$#>c}c|Co1 zu5oQU&+*@D{r3gF&t78Zxli$Rjy!$%a*JN#lSNOHUdsS<* z6Q{rNIr`qr^_B@pRzAMvx2L^}Ep3qJ> z%FfC9eLwY?n{v|9tGV+CxCnTOa3VbSi|4?p#%LNxyrQ;U{`*Y-y~cm9^xvnu@6J1+ z7xg=T-+x~SPw4krCkM$|c!uBm;Q0+J@mKh^y#b}HP5QUFyXvQ(XUsD5VLW|T%vXV4 zkuL7{wzoA`6rEM=BcF-vvL1ZI_iapg#&#AmnDGY$6E@b~MB5_MN%q z-iblnJAV5#-rSg;>ec?{$c0clxcISi}cQ98u^PrprGJx;aIX2u0 zKQCZ^!z%IvE07O#pXKCOyOErT|4bhi#EDwt{fy=;otfj?S$V;oY-)Rt+O87sBairE zz~^#KDw8jU?N0S<@OdJi&HNzg<3}5Qbg$M8=zFt+%k|CkYS7`G$c*wg1$?2l+WR%k zoOI`t^4q1uhwnkB4UHPC`0X=*%lmeRsjnPh3JcFzPjE3RedsPQ-N*8$f0psxBA5pk zJD4w{AFqp@ossY2*Ev^4Oo z@LPBU7Vc#pI>56RD}I>^d~-eRv7M z>qxHcTX-yz3*<@b9`L`T4sbZOv{s$IQLnZf{as_^PEX zWfQf%)Q`*krL=dl9e8o?0(S=Q!cYgiYCoEtmyTqu3z~$sLG}fYjh$B?8io2nkI43E zoh55GQo3U6l@sQcC=pwz;O<& z)g|ZJu${*#un}teDm!=P{f<>hy>c__ zGxwnT-_HFGtNi^AH_vOm-=X{#cW*-!!^)4V_!uywtwMl{5aj2Ku%nE z6D=1AuDtrxW6zD-cjW7zP*B(4k*#4q!TuPoiHj;K$DRZ}&mD{N`WkB*d3)+TSQE_JT@?_lB zU86QCQ(e6WLhtU(rA?0PNS<^S+h~(Hi>-HqYCoXuGt~N*aDxoTxY3y3SN>FXU=nlH zo^`8B{Ie5!eir(Of5KV5t|j4I9Q{Rg(&x)IyFI06NxpekaYjF+G=aCPscmlT8xFjv zcgz|tmnP$qYyBp7>~OeLa&W4@%Y^-`nm0Td&wKk3%sHz!K4xtTY|yVrZVT6aHb#T*Im7yp)%*6Q--+#97H7fFsD`^c@UNuvFK67Xx;HB;OS*Gp zIkqIVt&EA!CEe!Ekn$V9OTTrFR`aoU%S1WvX&v51X3j_^ck7+d&Ys!0QNKYCWqCw0 zA3nn-JI-cphc-K)(L12ecPS6PLlN(!c<`|_=Ku^3^8y}n=24jrUwNAeZ#eqp*#+-w z1UUaI@Js|p6FXmo8*tqsiV&mmLHeQk!8~Z!c z@?vA~TM0Icvm0g~?rGq>*Pq3@(#GaJcEr0n)1rOCcE@44wQt3K;a)lJIvXE8gFWGV zBs=G|P2;pYXDu=4j+a#3UA!;1c)Jx2^Bd)RF`owS70>a7 z^kZXkX4}pxF~=}|Z11&37+{#`VVE-s7^>ksP8&Rz0t|V0WzEs-d0xK2!;G%IJ0UL+ z#>8`c@WnG84djMHTn?`7(B%8qJ17NUF`41 z3p|j<{t^Devm>o9K9WA#*=}Cm_Xu;S`TXY}(?*uGOHTd)Io@IUxebqvqTxH_XM_Y0DJA%27T-Y3Mp2`)0Jw!)f{167T$M#_2I5 z$-s}f_f~mpi6U5=!o(}W`{H@~4# zj@dlXVkyrbFQ5#oyyRugZqwSI=S`@I!%k{READm zPHS`$t$t$hO92gnE==Kb@|oT_kf(Flw~)Pa;9I}yG1wE49b{SIWb>V0mNS>Ae?o;9zP40>Kr{2%1%yMMwO!A94YZ&yFKk#$63 zw=~DU){WaYiFt+?G3DnR`+Q3@{(tl1haCSXW5;`?v{xv87IdrjI~lJLvxV3*=GUN0 z-!uuB2feRndkKiUl>677xO5KS7hPzvp30i^>GA?vQ7&4Iu-An%yY+p`+55ttMCC-z z0H&8s0aN~Zm-8`2$n|ws`Tu?Ai%8j2`FFYE4+Us@D zyMb4{$h#w*d}m_q?=W|*ood~&i+CG<)W&^lyLtNfx|a3%+R5*Xf_YMI^PKVA=6M$I zj$GcHE69_F;NzY~{Z#L)YxT2U2ap4pXpQ&+ zhO<2l@<}4SsWRoAiuMsHhGu_^JIn3!qcM#-ZtEUek3VU4n%K7A``Pl-s%nRf1s^=M z@08h?Il4N?md;z~ypQb%AZKJb3gyS7CucX?*IGHz8ULYC_5)VeB)0!J*PiMft;8qI zIi7f}U-_0}*=JZv^A_PQ8P1-KbMC^3j|i9i$i z>W?=3AEOC*%yu;SZQ+(Yq+*Ad9%&5zk!D&bH<`*2&#J**0jtGZs_*@S;RUP*%7#%^ z^Yql69agrkRh}>ReUpP~+y{~ao8ow@Lrz2I%O&^1lbtp9^@DGudnN=&m}6RQF*#?x z&bh2*4L^)uD{+5`kI6&(7)M%Pjbri==4Net+?>}&x+RncSmL-j`|L>TyZnobGoM_V z-3R%qorm|d-shn6zVN;ApvD)^i~n?H)An|0{iR^vi0+hFDjs4VS|!7ODpQWTi2u~q z_I5$<(N&H8cUrrytObS{z@QwnKVuzu$jUgkpd5X*p=HxoUpW z1DdPGp|4TsZSNf}!C%159%;K@rrq3squt!;zunx!{-)fyOBdPx?B;XMHSOmFZ;LhV ziX5C%CjHd~ezGx7Xe(Ri`ex45??RU+-?{#faA0%RxYIMwJU%9aXZ8x(eQvpUo`9FM zW>CmW6X0{D+QKhKgU?0J0iQb0FgzEzHhRT)>pEn2lCrgHp`(!t!?;P)G*p2Pw zMPt~D`T=4nv(xbJWbAY|Fqxgs$fVhXHZmzYeY$W#ojltoy&!w~&27mRtsj_QNPd5m zn9lg^3+yrRHbM2Y9wIwy`#FgH^taYUKf4`UJkxBf(;L|QUT-6CecU<${Z_P2z&Lu> zDe{`u9Srt_G5!Kr3=W=cDg{iP=Dhe$R^w0 ztcA!o-^pAm{+*%|`APC!4gcOxs)Thw`APWkS=sFOvB0UqJ#v_}$65a<%)jFIWa>UZ z(JWr0`^=z=8^T&3GHr9HqBEO)mtQTOM044V|C@27JcNA04OtwmISL&0EgI8Y2a#2q z^V(?x@Jn51P$t5G?me+szVGU>eIH8(?)!niJ7z}1KMLn5E>T_T{fwBuqB9p!oqoR# z`6}uN|JwK5g+D!t?3fIZ`>?gimGB7p50!Py;2nH-bbX?~&Rxi~Nmj}Sr7d+vmtv3o z{fn~4LGE>~a2oH!c@b^kH}k*Gos-n%hgZ8~mo`6HDs6spg`QJ}ujcG5dl`^{XJeSF zT6Y9Tl6SMk)UmT`*jOLPvD3XvsY&_4T~B5E&b) zv2IuB7hIMM{T46{FXhYxKE;whstg<&L*Fd`7qWjDJnUUYpS1Z+wV_|mS=9G&MrjGW z02~@?sB&i6=-nH1tFO0#J&CGg`~aS6K`%1SRV?i4CZD0_IWVjcpvqKHeJ7&!uNWA_EXPn4qGb&Cxdg{pJh7H&!N|k_ha<4WNHL_cJ?;-Gd#Du51}Xb zxD9p8`tm9Gz6+!SjlS@4YBR9kHR_G3Ua4bdI9FTZ4CVKPLugQ=PQYP2-z_{BPiVf1 z_ccFkkln|n^BsDpjrulufS!*CX6FB4^(%bBH|!a&@23v!?MyQu!vzkTh_LpS}+U^`p1W6#1}(idr5C|SkcPNYMwVxEPz z9$V4{&9nAq(A%5WsI6o^!;|5;i}yF|GCDog&`Ilk`*UpU4Ho;`{y}ucL1+~A2udeN zW@XPpyrXl`gL^);OEkS69NFD|Ep?!Crp(D_vknP5KxYcWnLp8Z=N`dK&i@OIa{-#C z;{$wM-*>Fz)PLZURR75TfLHXs+CrPzBj4f}_9-;{wm?Uto$LX=g#J$N3z!65KVh^X zMm>tNCm%Jsu(p+xr)j!>_t6GT1I_QCE&i<8$5-F)^mt|ET5w8#nKL26W9Q1!koh0{ z-BgdhgM6BOpbx=QrM~cMI98jkHhp(ReaH2(ee=xvrhe$#`ez=pXXa0N-i-Nh`@b~q zmJId6bKc`t4}Hle3(v(f2Z_%@y<|>z{ciPxpC8u?&pYS1ek7yV7V}TF?r3M#f^5R4 zgI>3%ee{u&@isVp|1)#(cb7T)&3oggQRgnk7p&o##*xo#F|x)G-j^j7k5~WjeD}M> zK1O%JaptS&tSt5*y*uZHj4K`}vW4=;Cp_;PaFD}`q&V%KYa4^PTh7koB%GBk0YkHF zPVTI1JDArCm*V%MkRRP0sMx2Ud}F1+PkR}4%>RjEs3y5Y*Y<~Vjrduq?9FfF++2Kx ze#pT~CpgKD9sEee|0Wwzd^HTOn68RsMf@Ai;L7K_|DUsXj&h!T&F8_}@r3m0(ei}a ziYM~;0o`<0r3>EyIjokP&!%~DZW0^p@8OK$B>vp*^DNpQYq^g$ysWXcXI_49mM?-Y zTx4t2*79VEVLean4eQjDNk4Xh`-8;CGvV*B-rU7}vbMWdIUxE|-k}f=vSsw!#aNcx z0VkSYu#rtTLDq+fdv!Od?nWanx4Svr}BBIOx;$U?lFn+(ZEN^@HGH}dmoezZXUDbM#(+BW4`;FE)^3UGl9 z3GspWVw8Hpex!4Uzm$J5_)FxktL!NY@m8b{o<<+!^-=0-tlyQ`f1mb44&L|+m<^xj zf=~RRTz@x;mla!?-YMWK*$>51Ax7T*vE&JU7wWbfR2RRzYiDbnejg)WOC9rhku8gn zXC#uzIkgo&Mm`-HuP`~C)6wB#+gdXe&yqZyLY57ucS?l zIA)Z*jK#=&S5Hrz4PNQK`-y?8T`q3cofL|lN02+U9YJQ0y9cD_)kk$7~^ZemJK^EN zexP}%m(1y|?@~X|Ft?vMZT#zi7j$Ejf2}#mzxMK*`qz{PAKGMJ{xx;}3*!sc@T|$d z))?}y;c=7Gk9+_6 z0mHw$f1Lw!;OF39KS*qv^>KraFZ8cNzfT>3f1QJub>JjB_N4r4@g2F4nD2Ctj_k$P zexAkizoCB}@Q~pN`IV`Eotd}!5G%1~$YHg}zm9!L?hKFNcFB1<)*38%CyAWP*w48phldbSlCj8|2 z?UFg+_awEQDShqs(A0bm)ylLNIigAM^|j4M&#iChVsQd;8sY@$p2_(3={paYU+TYt zJK1{Et!-#zeryqqpl{)v!Mprea^ESw_68q9{=M32PV(`iIS~)F*fhfj{hgxz#8cwY zEX}cB4Ikg-`qKIN`oXqTuu)BQJuY(Ng1j|E@+{ihGZOFVDRH*`Q|FIc9HqZM&fnU{ zL(a$e8-H^mpZCMeuWe4ZKpuj>9B>osn&6`v9O6B6;GpL{;Z<#Wg;#u5!5R1y*|Gh; z!QUj7OXEt-(fk0{W{&J%N;hn7LEAZsNre-&)qWy$;JCfh9xK=W9-WiDzX9uB z|E@{PJu8nEkBRK0@+7}jJcMuGly_78(>-s|Z_Uq7zPrtlXQi%W&Z~EL9Z#PDPr59{&9cdVsbZb5kU`To?;lTDB=nD6%=0H^z#bs#+xe#0|pAD)GN#Wz~_ zS044K@J|e;c`7cPhz8mNTqy72*ETdr3+7qL;|cr-i|H8u?d%(=WbPXb zGP%Uh$?QGy)|59Xgx&Lo?7etpwv#ulak{^q{V-nf&+=d|bSZo?%gaHev-&+vb-$zKQHTS#Q(wAg$DR$q zu;I{wrOCiW+LJ^6rbg}tzG?D9R3`iIBH@^Ez?JFM+S%0ScXB4W^K4hvaqQ+NN6Sf_ zZ`)t+u4j`i`|ycey~MsN)E_+?UyZu5#g=CVhAXJ6el(ZrLi*-!%NZ=>j%NMc$9q(f z|7Ltgccqr6Ju!SXxy+l$WuC!Zb*tDrwE{i3JgGkee(8htW%r%#wM9?L7h-*$cgo=h zo#FRAuJYf@{Won3eZt>OhW@i~b5jF%!0GHJWuvU=cL`_GQ4wvbi|`3)`w_LJj^X8| z23~^AHhZv)et=E$x8LM5Mu9Q>PPj8jbI>#WT`Tck+Hm&|y1CciSz+Ud*J;~TVyw*h zV)Rx1T}6`D>^&mrRGq`q9$TFi)%eJ#`DVJiCoY%V=)*qske9M?v?pY5@PUCj*@nMF zKOBKSQFG8eMfx4u+uWx!cj#hs=R3{qfZJL;Pvv`gZu5-asixS(w=>#wG-%Tw=q5aJ zSBGK(ouAgbvE*0T8Dq^AUNOJCs2+GRoKR1&+ddc7olZHqQ?*yQa8z4CIX<}Ae#w(^ z_3(u~|6S!$r@35efj-&MgCEMfO7H7Ir*K!0*_}z~lM5NY(Cz?75zk5&{JPrqXiXSh z0S$Wt-e}i>d=DzlMZS+izAMUeatF5L_9bz<`y(AjU!xkcjSgE#Tb~QwwVnFfBfp~u z9mYFFrNd5UFW^Kv%;H7Hk*t~jk(nv*pm@i_Z2AFRTPyRdi+Ne&hOlj3f4#QFe}$^<86 z!S`LS_!U@|X&$sK)P>ZseT+qO1;!%2QvX`Nk<8`J75`B13SSoUQr~1`6*98Nt=}~5 z?b>5|yY8-_2hb62Zx=RU1e;Jp|JASy`mSh?hU^1>cbxr!Ck?N%6X=L!jp}K>;G~0n zbACfdRmy+>ZwCS5Kebbe|%Gk?sak*ek_lPlO}O$llt5GgeQd0 zKh@e)X8f8TU+{@0+>JK$>96@*cc{CpYk}+)+$m#zFLmF|T$+8JXnlgb1nbZwx)}aP`wMpgTO-evBp0aSUYF#sH_{wc(BMPS~5C!!ug*8ZMhm-yPNh*1>az zqkV9G6Iu?Um$sHWxkt>!Ji6=l zzP^QHPs5wfz?=UFUyh=~#2;`TGH36qwdaaEShtj~t>5^Yx)UJ%jlVeRX==~Wg&{X#zvnpFO6$+#H~0v@ z%|8c6lAUIJMrX95eB&VZfH&b1fA7BXqFtXRhJ0oPISO(O*smeZH;x}IF3m5~`eYF< zp_BBHaQRQ)0GG1GLEdt3sXVv6(}X&jH@SgbqxyR~e-n4w-_A}B+26C6197_jJxBBL zf6vpr&^5G8c=t;)zM@=MS^Sstu0L`(M~f5Lv&rxmwt48!g_8;R%VGfKtl%m62+ebe z)_eXB&*gnbIu~ekq;pa3_}_yr7fy06@V1@dYUQzrEHJn*6s=bm%v*6Mao2OwJKFozcHWWR`T5r; z);qFevEE7b2zn>gBh#~bWa7F0o733)7=gySG}j6A$^S2Cta(Q?{_TGc8uvB!tAb z`<_&;ddp0()y&@{R^Ey|yiZY%3iT5A3>v!-6t^MwZ%0jel#qQ|-&Vka+IyV!1W61{cX>rTr zdiT#vFDu0M)o^CP$qF(=ew#SAsqKtpNU^-yfkzi>&*1ObJ{F?w`0bI6jpCuL%w>c* zFc-bES!eKuKAxF}-g(bFhM33D$NrjmPzN1KpHYmQ*C#Ype;>;058A$7I61<;-d)hw zkB$(om`*l7;CYrlCNrnJwzI#OX&dpk?%@K*_8zyi?VgRh7?=I=-Sw5$HlK%|b6f0N z)0m96s?B(cIYND{5#O4rJAV5YIfs=DggP&O=G?TJCLcHo#zeqyp{G@dVYC=e$I>V)oz|& zo1mX3BY3i~ej|F;Zj9sqrWo&@Mvt5AfTz!IQ`h6b>Pkj`D+7BD3~Al>Oi)+8@o!|u zj&-}!Wo9pQ2ZZ)kk{=&hV{HoTL1@GJk*x!>FA4cg=lV6;GAG%T@ud5$i+rrKyT!&7 z>(sQbpi`f}Cxh#F4#DO*UFX_juY(=f`W3Z3y187)xJNS=V)flIPKcFvCl9}H(P@91 znMZ_!EFawSSaIDff894h-4SOu8hFKS^nJN~|9Nd*@OPOu1$59kv2^|sEe#<)MsjvMzOAF!vBcc3-Hy}f7SF13H= ztD1MjLlMlPh5UhZzHZ#1Z+tC-tEi1=oj1?zZQ9s4FMGvv&wVO4s-4pdq-1E?RjIm?S)el|E_kji7yFbYH)APG` zf7*}zzVB-6f|!J{Ehfp#A?W9y{ErOW85}6@35-oPM!83H!}yE;XQpkOcauz)JIBa3 zjwu(l?^28 zPj@{w!Pt4@hVfSaLxv{V@p5$7{nn;43dTX`JCN z`EmQvtp||rpJ&I-=_Aj6tB+vAU&*~)O|WPB2)2gzXs0rwJW;SWz%g`3wvWDM+Z+4Z z)|UA{YHgzVPom8+Kg`fD+s4HK4~Dp3cHqX*;x>|h^q;u@ z+P7kbZ$DMsCeo7)_-S(??@n)P!yIolwYl*q+Wb|vO@9@d{J`)$HVUaYPz@1H!{Sl8R@&lK7H z*IKjoGFl7gIGCT6Mf<`+8@peae(kJR-@WNsc&(Rf9a{VQnN#EZ-vQ)}-<6fxgXi|- zHJ$(CSr^YNUxFT}g*8dFVc$$R<7c^BVD;zx9#)@!t5&Ff>SZIGfa|`*L^&bD{N&oaXohh07 z>VEExVczTmtgHMnew!W*^q9{%4gXG%Cf(}K%rxoN9)I7T#`QRD(XGPQY^Pf_kICxY zT2}AUk9@HE81u7|ojl!3o&Rd{>8^jC?^Ycg(IaEeWNWvQcfuDP8o?L!dDT>&B(qz| zJt+sZpS_kN_@R<1FYE#Kz&=eL=fJg% zJkB%d7Ur(}O#?RMVF$P+KUH53EYLQ}<@nr<*E8BbVtR%A-uUg&-pCw$Z0{k5<9zcW z?0u7d5k7YG;M3xl3nvHYkF^xT$@eF~N1pCKDw^&kL+VUsPnGn zWZ<+?qW!t`-`9N5dD<@*^rp=ReK>x5v`4ud?YRwb^>psqQSRJzA3h&@y@%NAJ;Yvb z`pW0A`^p>H$9(m!XV{bTkMs`@Yh2?y!Bk~0(r&{^dpqf4|5R>dBbBrIWfq@V8o+x+ zZ5RC_!z(#$WuIfdh;8%QZ2LTXdB5TSHsa}}UKh9=ZaSAhH{`Iskv~v9`w{>BCI9`H|Ng4~e!_o$(|>=5{f9l_?n}-_ zUqZg|V*0(LyIx!8zSHq~-0#Z!=M8Z8V4XAH=A&hO6WtT1_XFGBQ`M1=#kcNo!3X<+ z{FJ@nJl4hjtSj}W;j8>BANf^bon5vLy)cd)va{DZ=R4fVXDOc*%%O)lzdsqbb+X^` zd&ho@J&NlXufzL%PjQ#i@&2qe^((W0=eOLs{^8a1v${Kd=MZzTGubLDb#sPS`kFfs z1&8jA(|DB**IsuR46pFdfn|g?*h5zzc2-^z*YpOxdi}erYtXSGAN&^18qIch z0aUKPepiit47Tabc!}$WGiJ$j4=Z@+_47<=et!hN=oisT?=H;a1I8fQmhhwcN#O&(y@4m8x5m^vrS|IV{@dL9 zmxTw(fVE?+5#GbCvT3`iTUpzgpc^!=wEPiY{s`spYg+y#Uykk=h9A@N$9(x?lnaK? z|5ttaS1E_?Y55br{0YjLUt0c6U;a%8>)}3sW*xhMOxqdRRM+6E)Hru%x<)<={)hC4 z=^AhncuwW^o-Li1N9MGT)btO33m+rQPiJcr;X-$if{V0Fcu*O5NXvu+m4Sn_O!HS6 z^H0k(ca<^sv`q6>8S_rdG-s7D=KzOvf&I<+(ku2i_0aEpa^#A#SPvQRsZ6|jRztTK zjiJBYt1_bz3mQJkP9LjID)T`Hi)YjqaB8o+;ZXNo@OR+p;j+i$cd!@X-qxNnvCHx7 zrz{VA7QgcWe2<;@x`WWf&Z6Oa>itAJ@ICJh z4COVIYi|YP+IuhfZTBeI{M`K?Va&%F(_jP-dKaeN@w;AoLco`3qq5P<92^F(^o57l z?#H;yk41eu&&qGzk<#VHnu(1!yl4B;9MK^T2T`APH$v2BjlZ$A)N6*j57>T)?rXsl z_}dB02Z32Q5E;_IVNhb+4-Kl`(oj1N}V;tv&wi{Sg7*FQjguRp@W@a@xStg1vSzZ7=t@ zf`c6tiOSmX{{xIAUX=`-R&udiZ9g$o z2WK~t>(6j^vfh^}-tG`@i&yoY6?he&5ZXDs8tveZ8ZtWwKc%vHe}n&S@bDPEk;@ck z5kKh+=r*2l-w^V8HS&5DI^rsH#D=jyh4y~}ET3h}819w8{Sso(6~KJjEaor=9ilnR zV-9DO2A=LI4ZL+)vSkh9n?9hQ?ew>UzW()??D^!z`&ji3FyRLO#_oUEx7_x2)em5s z;xozYiK-u-i`>lSGZVac-qT%RMt{nUHsnM`=eN>(bg8?aG0;-6^$%vltI+ns+g8|p zb-KUNbjVy+H_%*rz>MCEA$m`G?2yx20qyCd3;k31&h@)S`K__MoV>&OW^TFzVstM2 zCLYiniIsH^PJl~r*gU9XyukB{KOYr%*6JvCFf)?hxzzKrt@F{LzkshWH_nmF*Pi^w z8Te^W9J~^kHg=P{fJT=?qs!O}a0xUbUO7Ol@-*?uGv|`yI6J8yT%FWY+j0qXx|ol2 z9eORcD~HeE_bNUs_$=qMln>{&4lm#XJ@e>{4yqr#yt{r;$97N zaE`8a^`!e!`HN)K&Wm~ewRutB=!xGQ+8SMn*@B+4d%GEP6gUp9OY1wnWKI>0y^7~& z^E~uNeVs8AosHJg`?7(|^}h!_K^q$j-5AFD57YkUVs0JV&KuUeV_0U^G)HX7$(%o_HXyf#`L1ER5z?+9%i$dM?|mZiyoQ_c#}>K z@@I31@g{z>-x<8YpQCF7QbA zsgL;)ttpFa{)$+JtD>8DA@nhyKIZ#A9&O-E{X%zgv=J}-Z}#3j&d#dJ^L|baF{ct@ z2q7I}E|nt2REaU9LkuxMDi(AKknu{RjWNVXPvN!G)4swWJ;BnUXr#@fIH-sQFGB^} z?l`SuYSb1cZByzv256<7*6FI?g0dp~=7TWLA!DlT$#L8IK5%0+!_dfw~NPahMtId%p0<}~URGUvFt%&jl+ zj$}@N=`Jco5&xIL(&5)cQRnN##+!p zG#O)zd@OwYy}ZM5dKnKSdb}&r%Fv!YoJzfFeGS%c9xxBm82?fgBT2O=+` z;~e96_*=HMu)m28>4JC0s^SUeCh$ZrJkqr|lpWgvzoCN?fEjgsxs2}PRm@EJHt#VxXZ+M>jh|>pUf~<1a27Rmft}qh{3}UY%so?lYHACe zV!FU#f_Hrh^iv*oYf>KeOnq=(@NxSS*Hf}}&`CU0Ulhm3X#ubHMPB{yf-jpg1^)XK zO96lJ<7M!I{HM#Lx1h(^f^5jfo4T4W*m!H4R_*J#rd@@QAvk6W znfFE=`2@KBg!JogeBMFPRCW-ZY-PYi(2HPvWoCui@FwvnT43 z9^~*E##s7Cde7&~(B1S;Pv8yB0b9wi@l2v~%%-^fCNk*f`~UBd!-5a#i|Kj#_VuXe zm6!78J7c{rL*;kl#do_rI;)dd}LOII)Oz3R_niWi9E*BH}~~h}$g*GMvVB zbjAlfB)!Hn3pSK;Mr-7L4E}O{8uaZ#%p5tVE0gitqI-DZzz3yLui{oxM3x_x^c3%U1mfsWG8Xub%`dKb( z_E@mUPjOb=p9?R12KgfB&T;LTG@Y!N5A+_J1-)DkLno(AopkFn<;_;Lz@@3J1;95y zAkg0XFfABPzloyU#pD5GwPk#w|7Cv|!=O(ude&`5@LjxbK|}pKcyDjPq~DNUw4JuKHo)f(`DBe58Jx+$?OHBfkyaouhI1 znfgZF>^&cS`E#>yR1i! z{~O+YPYO8L9(bQy8A94GuRA)PNmz3Ec2_sAN6I#2+)Z+BnLe|c%bg{90QXbCg;%s6a9rbqY}nb4 zwwG4CedG1VVw&y$(c02c($%j{_8K(LQ8E@ zY3l?$W&NS7=-R43@JPTn>CdBo)#y*J@1=3xWL%3r#=h7X(T2vz&h(7wvU{DxHk^hT zHuyGROD=BZ>2zs}bg4@QVqM|-ou@#bzx|g}qmR}CPDY#F7GwRMgf_#`jzpa88<_GK zOYi=&WBlb)=>vM|srKQTsrtb93<9@hA4u0YN;fv~X-Rj=zlh`A%%AA1TJ$IQmI4{y z6L@k?8;B%ley2r;K(;oir@n7&1-HGFlOTX<0rff|u(ShU#djn4L zZH4<7^_p}t`0MTobRDwHkG(*&e>nS0*l%Qe^0a4!pVDXSS33KQ9$^27_OK|A{VCd; zQaR(=3uE7Mu#ahf58t&U_o`rj<-d>DZp3!ugEH>B zYg#Y76`SE>FF(}h+s}+TN@=SohyCv(?cYjoh}O%xCv@M3{a?slA@&H`f9@#}4egHN z4O>IZNq#H!i*|xfVrj#!>y+kgGpBkv?G$|R`N$WHz3$r(?8=(%iMPX7mF{cdiMY3j zy-wOcCZ4H$_L7OWdOrN3y+?-Mnrvb-u(kh8W2AH|KSUe+AEmxOkMO^v#(5Ru!J99c z*jn4Uyn4p#mUo=JOJ{aW{E*+fYS%4)QSJ51UqqV9rtNf?>~23^q0WlhwaW$XaegnV z?J}6v2QQg;oz;2Wa`q1#KZpM*++7iFMmoNV^{v47%a=@S^!~ATO82~oUV3^zr4#H9 zX2#2S{;Twn{_8Fe$tB-DYYt^&$-bLAy`I?bm8~o|BJS*zW7>qx+Hv^!F&63-;ChL{9<2b2YJ<{$BQF2HjNVFNH^S`@vd_`#7Ger@g{^9nW>(S-q$EyE5j7_z(6C znc|Z6AAIfp52bhTf2F=X<37IC-QkWO;kvEib2jCPpI63mjJeu>YwUySk8QNL&h85L z99o|r;%*g}HS$dMH)rf;3+;_<-edQ&OQ%|W-e<6Xw}S3G=K}FH-=@)?$|=2rwDev2 zSvXt?4%$;^_GmM{rrJ`h1Y6XGFFCfF{bjCigeUN{PxxN&Fg&j&4nP^Jzq)$}d;bE5 z1 zrfA@Gl&<~T>YLG&vQ?wquH{ZIwe3HZ6~EcO+Xzc(8Uv#ZeCa%=bnWvj_M`G&aJ2tY zI25oXza^fxx^u$)R%$P!jBKvepA+g!E=FnN2tU_r`}&t4E7t^hl`aw71SjRmK5Ji~ z!KIAe4K6y`>r0lDh7LMDant4dPaJCO(=Fyk*g3Ot)$nv1$9&Y*v5GYad|=xPH#hRx zWAINc*e>ZJ=>)|FQk@|i7*ZlpI~o^l1X=!=oi%&+_$8Pj` zs4-?rb2xgk=lQtwmfbf@UMBxZeg}C+%=f?s(7xcQjaqpuuEqvbvNJUY?W$zNR6h1w zmCEbDQE&sU=EF$eq5lj<)Y2(O>TeAc*viWpJ%#2Fk{?9cqy;4Nq5R@KRyagHQpcpME39} z9?u>=rwx4Zhb5oplg`hu9j|G;FN|{y@yX)&A3xCG$QObKL%oo81o*OH;?a~ZWsBvD zn=NMk@}DIKlyx|Ukoaj`7bygvG%Vuy|ID2IEs0YQ6t99u2R^rd zf2Y34r&XU%1-|!R&*^lkeQyO0g}$AnQ=9Ld^t zj7zW23-H6-)=DqCzIFfI_1a3lud#hK#5`q(>#7%Rj``=wyVF%;ZRH{!#xvpzc)bjN z4)ATwUvLuNWh?Sg!5*b>gl7S}L_>{1Q~WE9Gqj#(XRuzz>#B<9Vr{sdduSuP^(L ziYHFVH@{?m>q&fAK9}R8F>qWzFdeQZ@pTJZS@sdIZ)N_uiFV#jyQYhiF*1I>uQ9JL z=U2{nlgWK8yJ2~~JsZ+mW6LtKJ+X}Xr+o^8)pm>NxEvJnvkhJD@+I4l_-1aSY(7!S zOYKyXjc|KKKL#VsrSFpY-vOIfCi6elw=t-4t_Nj5z6*QbpFRAXS=f7gJJSa(;3`k? zuQ;y^aCujsN2>C5mWTL3^c#&pDFxPlM&ISB-c&; zCOochOh*;lVZGevM$A*kZT+0_AKTbG4>ev=?1!;Xp824XX{EtmN=xTb!#;k>r+>;% z=Tatr$^*{;uj}|Fk$0pojPD+T@8X^nmCqg^eu{r0npG&1xlf|9WUD7xC{EF>bK4WKeN&05{&yw=cVsCf!A6n5u z{8D^dTGC079E!1<$Jl9pJ^Bp04_3N1(|S!68^>ObHpQB%ZTHu1?tcG_pWXau zg?SC<5f5oSnzI$h-}EqNA+a8!^UkgA%1LT()iMc78K03w~KXb=fN@E16q} zF4FU{_Td3B7>yBw?B`knYb&`baSkg|F{$g`~1#q;9t`jYT0XeYkc*obz_ zFEr9X#``Vi-PFdCuvdfqNzgy+CBsMZb?hMD-o9YMcLo!@w3np`W{QjCBdrG?ovfbr z36$w>?`o5_ihiZApoQb0H8stlL=PKZVoo-`Po-}OT%*^i_N`nG+bDdd?HhGk_AQ}r zxo^(DHOW5wd?hipLZ|e|&pD0n)hoID<5oJQh?Pwt7Z%G*=+>FWG9ypUer7Uvufp^4 zf6>8ZS+Vmhkz3}oLq~eD{PC4pexBrB{1joyzDQPVJry17YpKR>(4oxlT6$l1`jQ>{dKxOcFM6*>w&rXLYdEbzi@)#&{YqZOqPX9y42SmAsyt&@{@9#>{LMV=kOh z{_$}X9jyP!m>NutX$zPdC;dbR$%5z-#;Wik{+dw>#$VU7!PV+n`9iEw2z_K zBXEi`ZoERw&1lr~+Q2J|f$95(<6cP{m#z?#6aIw_!@sDn)VJ@9yKLRcU=Ig%E{o5Z z6T4X4LmkUD*~K}~UVWEcL}%H5*+t~u{@=)d{1%J-F%KVb-%fiu=7+U=+Vwq4L$$>r zZJ0EzFN>E)SE6IkGpuh9J%o?pYs_i-Zg^Y1V7dJBSp(78O!_&!jHjUAXHO#knoH_F z3Y}*tT~P2Be5ZHmIg8mRI#YhE=&1RLuZ;~y|H9Md6Kmcz6%6THl@Y#@FX;@kne#(? zsV|?c!-rM8ycYan_q$cTLY~K)dcM^h$CLcYhK1*3AH3#!rGO)R9G=B;N_9PsZ~6|H zx;NC}dR|j~_)cw`EXY^d)X<-GpYP$*@1q>+o5$w-;>2Al+cYOSBwhUs_6P)fsIl7D zuesXt;~!^_z~f887^P!oG(^6AJ*c27a$BUKi(PN3uNnuvYc6AbiD{ZQa#lr%?=jcV zIB6}`>HXvX-b`<=EB{h`56{Nf*%~#lwbwxTYE%0hMk)Ud&QmLJ!j^gZ6L!v8a$aFc ze;EHVXXpMHi_aIdkiL|imY?9dQoLLZ>ucuIO7|&^JrQOT7D!)2p4UE!gy%EtwZTI_ zh>p^S7F&camd<=r={Db#%%fX+W6ap{ZwvXp#%O6#w#4i9j;<9h4%^c1i1p%J&U7+k zIksSr>Fc;3Yj1~Q&e4aoGUo4wGO2D(+eu>^(nZFrqFI7R(H_2DVIQJhRC#?9Vz!ud z#CgZrC#(9guVynuWBKzu<%Cr{$-d4$; zY{|bevmZ%{|ovzm5E#b>Ho+?!7o$F#HsANz(67>!y22dvs2&N25u^2pI|Ls z>(E*=?l}EL?KV$fjrij+J&Q561FZs># zN7e4fZH=3CXZgwUfelXFUz7L}-mdLaO4{W9+6m#PHNa0$H+?!j@)MrwI`hO$$r^L> zz8&TY?cl$hy+6zKjacyK&t@E|^rafdU?Q2v`P#nc{qT~BpME3w`8FP-lvRD`%h_$m zZ4AF3((vQM8L7}$>r;oRXZhc~WMT#Tx1FX(pz93QNJDIh{Y&tc#?Ih>TjS08yUF`c>c3f$Kb=uD;ci#WC z{IoNA+POD@GVBH8zvQVX^Ha*a^g2sd8Nu4s`TFJA1-q7yAYVnfG0L5>y8%nprBJPD6;58lL&;qy;*Z)@Lm_NDEi-DSr=p}i60{UDZk#u+=8f2#J| z%YUS@JYRIyCG8pV#aV#RUwfL70m*(P%yT6}O}yC8n%-L0^seUnyww?dZurKxoq5?> z=I!6Td}3s^#u)mMr?lESY~j_cNwg*L**P)xg1)mDSct>0t`yVP5PMn6H^b{=>}x%- z^R>iX(mm6}pn8+}&Di=73mR4X(mSkMDo$ndAL3TTGQyr|U|9?c*tTa{?=c4I@s4^@ z#`a97?K1}~mD^p9cv@Sb?rz)9jxXSN$#2p6W9mmM&+Iw=h4Rup(^@~WIaI8typR@r znF7|p*7iDk(59ETjUwMn8!G2jGD^D_KLIrs>%KY)&TVlx6XCE_G{=- z#mIm;D!DC1X@~xUK5VY1G>) zUCz7Fn{T?Otw#*c+xxS(QIB`4M;x!H7stOd##1d$N$f%82Kip2yq9{|_wUjNv)PI( zB;Q|X?}qxPZ#^uQcr*M9kFUU<&RCW$_+#*Q*db25{GiUH)xLGrW1pbqJ3Uo)(s!Aq zIj3SA<+WO^t9*rcp~X|@Hr7`&)@Cbw@2l_3p7V9qW8pEg>$eemQlCm?mr=&@?}+)t zVTHHTrHlV2oA)*Lgc_V!PH`FS^>f%Jf265j_T4n=#g5YqZ!2%$V(rWnzqQTr^<|a6 zg>UTs7yM|r4N;z$a;?NWN<+sCNsd)caSZs@zMG!SzFXZRrf)DV*WTOtw>?W`g%>{e z(4c5H6-@ZHfXRG#T9^rsPYV;CE?_cOnHFZk|I@;R-wT*SCxMyBhG6ca?@f0Nmw3+N zbnDwMQ2bK-m&WPzUc~5H__dOe!S#Q0K}~z&(W#w@E_XkWInd#5#iNOn*`7Ap3F7iz zXE4ek@mBlB!sdpnuqjo}q=l!o5B~BSvOC9Eo3r(!GdY9i*`0S+W(FH&^Qyvc?mB*k z#+^2@h3HA1@_Xe!4Cs51o56$s`fg1&vRqd@qhAxf*vB(*Q)T}I>x}3f;V{1E&!mI8 z$G1HrJpb@_w0|JE+oIXmEA|t%{;m;O?YKDCw`CUNt~XO4#g)wa&Wev^RK-=swlVgyypaYj4)cH*2d(4e>&>uRVcWiCedS40a zHny*10pDm3qsO$?f-N-|^BXW+XZW6!Z*YsYOko~LDPOAdusYOC z#ug{0{!;D-v$~Q`?U!fGY}jR5FqIzH&AgvQd99tH1B$hq*p}q3Sl0ud*AotH5w`*H zQas;&`Sn8)>VGGKd_vqxr4?_^GfT3 zuc_Ud*hh2|{W1Tj9`SQpmiu920nIfQD{g$larqGU@NIs<6VSuHGm8DT@78@T^I$c<)@CaRx~`$8O%IqC4SIo96o0?#4jh7+xKV!a9`VgOUk+C-58BIC5^= zoqBF%eOFJ;&CZ!C?CyQfj|0&T<-DGuObx+iVx-`^W>bv_#b=O+7BRa|S< z{)s~;+uMVkGTX#@w0PBMg?>TLqo-~+er@Cb+^>BYpB&mU|C9~cnVoch$-ta|xA7tK ze)BO+PMi01s7?7J)^E|-&$sdQJf*dv=lhqj=D0n`Wn_5HLp ztD)=9?b4H^j%Vaorkx6pwS1 zZG_?{MyH*W>mkl;F&)yg5@gj|Ko~F9#UY32X zH+tfJpPsniC-E(s_GZbq=z%t=Z-L)uJ{CTh^$8l+o&V+Ey}C38@b$3obNOXyE_m2! z?ZZj=Vvel=+t}Q$HQ-Yn6Zt(UZA2fV5p*yg2D)g!kJ;ohjS}738F|jym2MS{Qr(KL zSl6D-t&?dn=(JFN?3?uNFT;zHaqY93uHUk8#v^7=?>RVwGnMUKvJ1~tStI#%?saHI zgG10@;-+o;PgLVK%>B|6ZTP{Qi_jnRYOA?w!-r+wioa!aWbB*|t&htZHfnIC`%CDT z4FRv&&u9^6>T2lPzNk}~`as9D7ajYT1(|=Wu_vvfZxO4&R-gMBqttIgmc+;S zz04D1U3j%K>Z3t;!th0>m@h_NZ(NTuI*OMVchOnrF<9EnMw-dSw#5HHC(6h6I+J4j zNuKPnXeJw>IGn~i#ixSbs&CoXGk%IWw#qjdZR?(RuF4Q|w7#xt&~Y%@i;xoy?75%->@^Hipny_!Ka7#>y<>Laku%&9Co2Y6YVSPMkXqM>ugjkOgcDV`jQn z?Zh!pacP1Rzwd0sbrKuJILSuMKJO16;rzCrx6S=JdVRL(b=xxs-A~qzosSXw+&4G! ztj1Ha1z)AUs^i*=ovwc@+oYIKU;JO-+(GQ>?rc*bkH8QgDSoeS*JLwnE-arro@X=c zF*!i?l3!@Q*#P$pEWaN9XPUw==>uT}Jz=v+r-2gUHU}iwYOh zCu5fmfrHIQ>Lr{%erWr_Yd#u%#zU_u=Ao+VztsNy4QF8Pquj(zm+epQQEU2+s~YrM z5eq?2xL#AtL+4Tn=l9_sT6*H!I<1s1UapL0`Fnl~`J;}}R%3NlUh&{N2R@hjzwU%$}s3)SBH!ACI)tIK;W!OPoGxlw%BS6!3fBpqll ziK#Iz&Sxsiw;zvu2e{hzXgHn(2iC{OzfO6ly|qW$#>W{~wbQD8Tw6R!xzK<0Z}#n? zgVA@*E5rDMTd(g8Okv@B89nZ6@RZt`JwL*;eBd!(aJ-h%AK|w42XTIq@YrC&WBWcB z`cmM<8IqImLKd99R;~+tRIaPho_qn>5_n!QBz*8G?vw3r53!$~_Fyx6b`X!?4yeTU zD0Cd@;k$SC6qS4r^-XP7u#0-msBo76&uYhv{7W;Vya2nVJKN+3Rd`0@|_fWfXHWU7_@w+wQjiuIFWsB_HzZAHs&a<~8 zb)NU}QCYPe_#IuWIfL5#6~HsT?aA^{_;}u^k?J9Jn`4i}G@U*#qDlendc?e{(GiU;uDWo2Y- z!_V)FvhfW3D#OFum}}#6yR{d`yuJneUx6;a4qLT3vu_SY)`LH3wKY)(GS0pJeb5&0 zy&8Piu!o&8SFE{ZXxceh5AZ2pqdfQ5QSX+arukS8ZOf+8rurh^q5l4;hu_b7j@nA( ziZu?Sjlo<6%=feAnab4?+QUzm&t88o^MC$lmrkb5e(6f}5q=zdZ}Pp@wnRUb^34~- z=G(Wbr9Alp!e6#mKY9%g@$)!g$%XgfhX>Q{?pCL)A6TldF(Y8AK3_>GanZo zTE7}yFFYD)j!(v1U4FEW>Bza+#3+8T&dspB3dr3ka$xygAx&|zk#q5hV)~3Vg3I?} zYe<(*jX$k*h9ZAm%wHGtz21hHz9F{1iMrHxAG(RAPNX@iYDZQ1|#e{x`3$l;V8YuaC2a z^$Bd!4;BQUL2(kZCFm#Z|8AQ1VKdAZ!Dpu2kgZ`w-yWI-9l(BrTG^jo0G|48s*(lY z7Cqo)oK~_CTC?IT#=-{zk5KN`MtslGI+}f2*~Z(D?-lwEhBh=#vS*q*baGbvO5P1u z*_~O8kLyi`ue7M21>F)`almF~Gc}jM*I9O%jiq8;0f)qgD)}q^O~w)U;cUTESNTlE*w$mbMr)MfDUFT(n@)WQ-_LP{=CTdO6L&Rqz4OF>=DcNn zv+CoiJ``{myMb14Zf%UI>Zaqcj{1gYTzhevrFg2&KpeYgtGwYK>`1XLGgaI4!TG6- zx3wGRalH|5@2BXfb*42>;PdN0`q2C8^wWD7!^9uz7az?e#zZU{U-Mq}Z|DpJ`CHg# z`_8V`fjn!kMjDUwvD?nrt!C_2H~47KX$l@X14Q4>2&YOLdhP=Boc_aK(%U+}Px}w; zTOE9+vDKwLPv|YHukVIr+o{{d`f0kK-@ZEpu5h;fJF-34&$@Kn8t~&;f&cWJL0^!G ziI1|U#mZN%2!0qkUF%N5C(upj2`1kkR%bjsf^Rjt8JgfTu}{gKg??Snobl=`+{dsZ z`a3)DcQ%5r$yod@dqI>j(nZ&?9rPuoE3#vH1o{}S!zX=Fzr06uiu`VOiL5u?A0N9W z_&eqsC~YQiJq`ORyJ)bsHF!&D?tc_^4VtO%qR)W74fORlc+zorqw*czLyfgZ?Ozja zmATQD(N?GP0qKetTmGuR1B#95til2oR+=rw z5AfK|r2Z3EvHmme)_>lc?E23Ynskn!Pd#YR9Q=h zPwku)(uM07cErzpDC8~9#p+H!cz+Chx+=mc%qeQ6Jm@oCzXn+Fpy2Aq{3iGt@Z)y; zjghOlGoeLnxkikxlNgx$=6~3c$m1&lk8?L|n4@lx{vZyV z#+cn#Xc1%nd*P1GgpXN^Tvn|2cE)>x6c>#1S!=UZ4EhK#Y|RXs?XM>B;wp1i zGvc>N{2@QG8~&LU`Gfb={~DM=KK`6`6(bh@rtieR@b;jOm-@BJ#>M=JdX((~hsUr< zzCWi72RSJ2)pa;-yZs!Nq%Q-}uQD6azx|-u0c5J5HE@d^pnvugJ52RY#pN^V4fm&= z&wFD(B)6W|#P74%a{>(}_M~);TR(A`Z@wtVL8=#8 z<+p+x{Js73;{< z(LCMw)OGf(hCfv7rJ$VR?C7cSt`7KCGQOyx?;O`o^p9e`zTe0Dm&Sqru~i)Sko=G2 zyIy<{jfd-=^7?n!v$g$LLZ90;K9QfnFZk&^V}J2sp`(u*`xM9Lxo%h!(yg!j-`~Ie z*!}2-EBOCh)}b$F9h$o}pRjSJp8BLQPTGD#cPI_I|4*L$Z^fZ3UZr+F)GnY@ZgY*4LWLUN$|(+wlOwPcRmw7@~89!hMh}e|ASv7Jt-Uv4tm$%;4_&Ib5|p7ZuR9$MK~HC{ft+j zRY>oi_ys%@_|E$l=7Pw6@Gqe6ev4%%^NK@SyN+l2%coGhfLMW_tq|n6vG-N`FN<^c z%drE=cNO0FJbXr8y6#uVd4JsdQXx(N&uG5*7xcyIEe`dh@7&JAUy=8Ko8+6#Ulh;8 zRhvnk#{_N7jPuJ4HZpGK6Lo|!Z%SL$7z1zDecYyUC#h>V5d+kE&@WSOB#9eptz5CH zbj`AUdY}Q{s#yHw$~Q|lEM z9a>uWYkh_Pam{h}$EDl#y^G1j>IiEcu-Jpw^sNgvQntnBZ#-@O#?$6+_&Cr1UDndT zZ}i;mi2df7XxqJt9MRR%hQn7(z9V65dTEx zYL{`R&6e=rVw~^JCTu?*JR)3Frv26I$K;vatoPRd1DzXvW48y=*E%myb#MGYTxS&g zt-#+L+tR*9`9}E6JcI6|OdIL-&1MhhsI2(I>~9i#jK0heb5LN!IbK}1QQM#T@rk?i z{4-)toO{fgCHpJczw`6|#8}YRdXMUbwufWeDsQ@FA!F2Idh*~C*qNH{VO!L&v7^|P zPlA)|_+U@muie9baoR}Fbn`uv-y ze#xrZLcYm&9n_nQ)%AQUx#A*Z8$J=9f5BO&Bf!*{NjE9&!6Z%ZoLO`12>tn;a9&cN zZJcNLxXSPCf>&&8g;Vr1egl{%&Sm`8#_?lZTql}eMV{JLJD=yAbsxK_%KS-!L#r}% z?#MMhnbp8y74VzzL}tKqj^svbZcTYt#y;TJbvj+E=Kl|kZHc@KY^SO4z7@Ph^EQ)3 zD`T+LuR<0WSMdnr9oB6Ue(r1H0c0-W=R4SQJUkcw6B!V!lksq8Tw5?co$GuW`F4JI zci+&;(3W_)DGlFmD*k>P{&xOU{cJbp(-r#F#o4H}>vc~zvV;zh zZzBECwAQo)-$A}k2R8{`4k-@m<(CXeuUF6K< zK=A|W4a9nu7QfG^yMHcu@$~^ea}heqe-*Cgzs7TsYQ>&b^1;`2`=IlJX!+H5J~GB! z2Apr#d{R0t>!?7(*Bp~y^y&9zcOI=~_iL?3_>Lj(&t*Q|IaBknJujcJV$UP}_&~cp zSIbAf$T|>nKYcH$v0zW*?O%FNuo>Q0$GxBpxa+%-qu@R)yTD#E&HKbFo?egX1)m>k zKd5uT^sf68(GB)L)wlidWAojLQ+!t-{*s*)Ew;Y%5u*e2IMTzn0o5$*(ZF6lzKe4y zXKBp~{*^v$%O*766Q6Zm2Uqa{VdfJ2RJt?PMTa9y| zyMq`o_xXkM3t_j>&dtJTCo zXe;%f`dm-7!a?xRpYVH#S-WkOJZb*B+ULG4@TV@mpvfb1w<-5J*Xh6L-jW91ejLC0 z(`kQ-ebU~(aNyg`f>-KiMf)JS$kv=&vNgyY>m26ynSLi<`n|p*+hqKT?Qp(xAGN-N zy}P16<90t|J%@FX7;C(}OEw_JSO?=ci-$ahW%!Ao1vkp;U`mgOqxrj2jAdnRlriks zN!yUUTaDg|b9w1ir^8ciV~NJO1gB5u-)IkpVqM6v`)^N|Rz@$ysl>bVw>R~DTgeUd zw;18)v3HE6eZ%SWjqmMb+X6XakSp{5Z(i9^@FB>ny<9$(X zwN_?$C|&_x=FdwGq_YcN176G*p2fWf;N-lZm{$s?e7;tiCm1!|Q?aeFwqDNnxTE=c z&?0T$V~aWyNIWb1Z!vAfo4~_iyRB84!J8M?Q+b!4Cfq|T=9hpmCxO9#!BE^rwnMhY z{fAogp{K=%IG*`l!iWC`iVOD`L{OLQh|-+ZcIV zvLu;dJcnD1r^ef0NrvFx^0=w3`ue8;3*Ikab%wJ=1wo$#+2q^%j^8pcKap>E*tE$#?=8()>&Q zkI54AGUvziTlU{6^JBm4SmRsBQ?g^?krrq5KN@8>V}GuV{ieVZeL6RRbpq2L_ciOq za#@X;Vs5IFQOCz{1bygsrm_LJe&+w`Y(ny(ID*MDF@myu490s)jJJqkj;#&0%*Ow& zhD>}c%ETxzbcdVvVYqC(AdwBPZ?;Ib19+|X&B6bX22;t2eQO!zMC%cflW-q4|2Zo= z#aVXMXu0*$#(9S5zJX}(RNwk^b?ZAkji%JKH4Kemq=nhV*sf@JFL10~VrA-EOBs!M zQ_5(P?=n@`yCknkzDoA4=+Cys{yL+PWHic`-d(;l?+@!S@JH0k)53^yWiU!|)ym#Y z3#%IJox$S2=x8xOw|C;pX=K#mUGnMRCg1cOn!J}|I$yKCBpW}eOcZOB_{iWk zs~7(Y*^`_Z4<)wZH|dMTuojkNhjHnQcDJ0Lj(It6x-l=>PsUtn2G4aW@6(O>v@qhB zt4vv!wi@$kVZ|{wSWk1z@3JvZ&Y*8G=IQ>OA~vG+G4Yt@2iQ;JG3mp3?3rC0zU^Ev zYTuy}qfO!^$XZu2M;P$$#H-9h@xAsle=dBlL`VKBc){jd`1UGO$bZ5wm#Pf#HP=v? zrWo=Z<{HGcYRomXztH|O*U&fX23NjEe}G%O_uNyQ_Z|ESVBgVbKgGv%nfwoIxSg#@ z>`#7)@iaVDi~O4A8E-Lu`lcpLA4$g4Wy5^o3NYh5!uel3VB;Vk=1_=7iT({6ygjUk zF$OxfqG{hvtFbn{0nC1U@3^jS=b9;<_AOm!Dw^J2ZfmthQ{W2^Xm9kj|BEAi4;c=- z^*v0V$H9Sbad75<8SxedK@)h(CKYZNd-@Aw}?0RWizT!U<|7H%UwI9O` zSjYc;cIOJ?g=yL)-rUr#d`-qbwWm|I+dDg-p>`E_Pul&Tv|G@#kRH9?R|#V zQhuGX?e01Gm z_*8nHgFm5r$Vc&|^}dC5Y&}rQ=AJeO0jBeY)(WgX{)qZ!y5lcLf1mLe=#s@s! z&bX*!0Js_Md zFttq*U-);_1wU&&iS)28seSFs4jNDQN88gMWA*4Hk9YN+neb*8V}bnpdStK*z>_U0 z$z~l}QrH>tim^!Ioqcia-bR1i?kKM1c1Qk}#|8!8V$AI^|3+e9*wI>Co2*AztOXTk z$8{2?+TuLXVlI#^madMr5ctLu8ZTr`>@B*`YVOsqF)aG>@uvhtiw`Uz%v?oTj)y1 z)$tRqy(Jpi-Q(I55qaTM$4GsZ{OCEt{L9a|u92`eg9-RO$$$Mm$B+E~fAMnO`K#k) zjkS0gy*Y^|rWhw5e@JIEepszX z<>K4e{`ON^^LIZ&YxWvbt=r3&O6Rb(#fcvg*K1Q>zRsF*U2Be7=UR=8*MF^Zt&Bc^ zZ13v0&gHgvWzg@w|Jm)YuOspuhStl%+S8)OJ`_uf>*~mK+!q?oiPidNA9}>ki8Va% zH7IBM0D3*1*RQ!0c2jF1)WLT+Xg;gbq;Epn@jpy#v(n@j7>(3F!S!{~V$RoqX>(&Qsm@R5A})ECEH^*nD%|AjR(eJds2 zva-|pI+T^KBU#dZM16mDs`aF+6?0WR(Q0IizTvIp4^(%2=R}X3dFTVhx3oq*@8oOL;{EJi);X%so>)RyYYTI8lMDY=9QwOI z5_qNkpw7^+Z<+Z!@)9g)AjJ;Qi5o=@Be;X zu+*OPJ#$*)Y4L=3HI9SZ2&3h0=pSw8p!-3|dMbIQ?*-HL)zXJf#!vQl(Nt}<#kLg3 zD#Jt;ri1C@;ritGTmNjo-@9<)P{+dq>=_n6sDIkqXmiwaq48SME@N!a$u{rO_nh!l z-SH8GSatAV%|Wt8-5rNdvvc+e+kY5D1x)fH#v>`ABJVelD^`^wvP zH1^llqb@37zUlP*uM?QPuB+e!*_{;T7ab%g6-}52}7;He-pM)&F}ddHoad|JGVwzb_k4+b}trR~a9jQ$bg49k0&{&)Qbb zimb-}Iv@W8d`rIWDXIT+_+RM2U&Qx!$Gz}>AItJxMg8yah30GxJoTQ_^ZE3l&KTAo z%ElRUlL4po@G5A%a>mf#J`=y@m&@oE^@N*80c`scY@ritdSgAlOsYQT#}<(3!}=kN>102X(bC-w=GhuQ3dG9_aYs z>G}65SKys(%D)@m1+NcYug#xpaP9vx{?E+D`Mo}ZkX@1b5x`piTZ#eJc*xMp7$eLA3n=#!pt^cDE^E6`yK8z6`pO}3Sf`xmYGp5cX1+!^ zJ%urEkMLWK`$tOSeimg58F~GtT(~)2V|PaxXvoRl+U{iRFPqnplimDBPT$*7aTo}`bNM9WPf1Cfy;{S2}cf@|b{+apT{qf0ps2=x1oiYzGmVGi2 znVNfuC+BxhXiR*~(B<|t&&S_tm0$IIe7{!tGh)7-d#1avc!!pIE4m*GpE`Sh_M?ud zIIM-hBJCOI4LxV^{EOPZrtWWBS*6?ms8431PflacYISZlF=IaSq=nf;wwQIsvOFw3 zBY!PpVDhki8hKb3@d;h`PVhh2slBzi$XSrTAagGgfVk(Me=(@2)*(=C^zXnWGJ(Uz`VaImNt|QLMkw|r9``d$^sU{uD#Urn6aRnfmZ3Su z|KZM?y7)h-=RQLH3)%Qn;W_tx&xMbk3m-|=OS*dRu4kW>|NS4qH(!9}=3^muvl?@K z<5^@x{FqhH_04|D-d(?QR{l8kFBcyP#-?A1zTdlR-&y%LfxBLC8As0M9v6JsPsLnK zX5zlDk=wHg&l|Zl{+F(JfBcUhsC?Png^b~mTe~M7zn%Q|lBTm--Ve;$&US}swp4AY zo@^%j&dg>iP4=0z(`+x=>z9izW7rP)+g0r24D4eC`_Pp7ISW5k;uZ=xJx`qFXATRol~%-hI3*|e?q+`dxP$eaU|BnBH_o<>Sy=^h)!H=i9lgWSU6kJf{+z!T?74iXRiO{a^CbS$w+zzv>0EU%>VZ-BL0aJAHl+hwumXK& zHl=J6Ub!fLEx61DmjV{!P@#@u5|eQMqec14DKEO{SJokkPrkR~CyVm8`#AlQy5#z# zjnt=JP|_tkC|Br`^Iw=>6W_&4;@{fnTJ!bozhXV`Rv*5Q#d_SIej9UfbcyMS+S&Q# z!WsF=9z=c~g>H&NP7?zfOk*7KGv!B=Vn8;xz>lbZOFEiy|5n4Fs`>dMq-B*x9HcMm zh)XE1SjWht=zGdkC}VO&9}6C9p4aW&^})0A`u+4n?XV7<@=mAQ5b?}OY?j+AvsHh2 zcK#?ZlX+U^4Gy9aK11aylQd&0o4)T zC3N~`iB9i{blHmBbewllJ`mpvI$e35$&%6Or-4rPf8n!iZW`#lIRCfQYe}a_pBHl&{MrH6NgAV)&+E81jcxROoA~_2OY*^;M_ch}A2(vf63tK*zuVJX4qLtP*l-`O~=o`s_(`u_^1X_J1w)a%%Z7|-oB>&?Q z&Sg2hG4h?2N1uJ1@}dRrhdU0uF#l+LFXS}x9sPZ>_L(KdcUBj^dp~7c%H}Hi?=k!M zT~#rskv-!cAfMyb=0mR-3#i3$6F$?G7jB)EEX?u0wT}@v`+6l_)~P_pGuAr-%Mi^eZC(_Z@J#5 zUz6sV)Xi95fENxI^GfvSu3tC!im7#(>+^LA^L1bA6Z2 z!7L`(xh#Jvbht9=*VIl7yN-`I)-(?Thfc>KrWbLIr-{e&!Q;8YBf_; zU61swKSm!lmyWd2{HN8Nx#sEe&sxl-6;oEa^PJ6@5?|bC^_pe*OmLK3m_7hc+r#@P zxS_Mq7rX1XqT8H4kAj%lyD}|3e9%D1Jc9F731Y{#G=yKHV4n3feFp!k)CjLr$9~ph+4d&zRerT;91X z|J(brJ9URjJ;G?iFR`&Crl&g+d&T4NjzrPOuCH2!M%U9vp?3*Z)Gm-x>! zN_yf;lq>YaSue~F^4?NUNWP-2?TfOadZH~c*-3i2Nypx>JpZ`bq3kGij(|_)y+ylE zb{wqcACCB@zP`@RjkrCjn0ub$nr+VSi0^6(dOzv=CG7t_%NsrfbE0=rwq?K2W!|q| z_pMGgCt5YxkGDOs8b5eRJeyI*`0ktX*@+)T{VrLvF=BqRy+xn@N2$-RO#A$r7v?XW zuFr}o&dkQed$pg2Jt9VnbzzT)wfn&Ge9I}&qMq8_Y37GDY*_sp89&*D<~?dJL_Us+ z9?DzHp2ZM5J6wBkRxUYHx?%^SO)49c^>%xH}T5>JbOcX{%y*( z*J;)<{}yXEJs>+rrq9u6b^G?2I^4}cw0yb$l+Qp(S zd1ZZ2wDqoY^4|i6*(CM-vdKPD;q%1&TJ%r)%I#2BV^YA*R^~kscH~3Tr5BSH-w$^{ z`xnOdf-j{@uvfj(t6y8`dWAI%Vkm9VhkwV){CU)C$)ic!r0(;3_YLL4Pq!|QU*SA@ zzHBW1is@7OUSZs9Z?gQ1WF9A<#>;{8;R@sGV|6)wxcs7LH|ZGT(gNxM|O{Z1v(?w6GB4$)3>+7bJe(5^GJ z;Zw-J?J0=$>F%?kp~ZSyaV~?UHdI`_j61B zj(G`xAMUu}+4=3UJ=?3XhPkZf)bcqK{wU`8z|ft~X>33|-wCgq4X8gme|v-{+zg*) zU30kO#jEnSMBFVOerdw#ORMtVCcov_rfd0W48FXUpTwfX`$iA+O3L%aT#LAr>Fp>} zHg2Su%+NQFH(CFl_ndr-(~B~kvHax~-7A)7pIk9deyg`rEAfY78y3$iwN>m#AqFz0 zyi2toCG0m4U41TQZGZ4N`HHmdi%zZWY1`GjTkT%7XK0Sa1*T~G*mLqqY`ZLnA1d+X z=+)Wy|N3OYn`d8`|D1Q*C$K(i_~m~G{b>KD8_1JSzCQR11uwm7b^Zgdx3N?YfBwy0 zZ)2(6msaQB@p_v}_282oUT<@$-ipqA*z0X6)tlcv{xYw(rBv@-o%w(9dOf9j3%kdA zyk1YKUcEE_Bd@ouRFC=42CuiRRPV)I`A5Cp6{UL2eO7zDD@yeabme=!-b+gL;J?LQ z?`R>yveJ^kDsXO}?e0_sa z$tUTq&gbVp`$TrK|?*W3&dw%{n^>mj&(dQLw^Z!Yjor4AatlYrb z{JW$TH0z3X44prv9qXFLj{U>h{Hqb3(@*!+H`%FIotJ-!GMm&e`6EekF3i-;$@+u<`eMUfyz}a%AWq~dG2N5 zsnY!5aK}4-J-;o~eowgx=1^MP@T-opghEu;^^dQf0jeFLb==^&d z@)rTac}w$)n&uDi)+9LO864Yx7UC9hE^)Zy2OIM95;*Cd1cUzVne+22Uy!d#`^DO) z!DXG;{qh3tmtK%RD=mA`G-aQ+F`t)~jdRcf)<-txvm%a#yy0ukh;>XK|HJ0|Up}7b zb>=FQc;)m9@_(dE{bNC&kD>p&*gNDg=1%t)f9HbyiE_EcEz14n1^H;X9D8>s!Mk8n z{#d!(vKHk&vMK+j%7IsQ-OT)S`d8EUQMckFro2IZjr=B^nY}RoGwK>YD4+F~`qkNF zdvJAkVGpFYn{?RgUzmRe7#F2_?eGipLDKZ?uhvpp`oBrMZ7_{pOc!H%b;M&9ee*ay zYgYG9wU!p+<;D14usMHc?62v%FP7}totyK2OMbe>BH9>zlKI-V@DmG~u?|#!MGKm} zVj7x#a&vxdnPz8Pm|t@;nk94TCYnvRzJA-&q}dG@<{MI)F+XnNA!xSdm!MhG_jsGI z&tE|Ic#KgzINFw5>}pP9&9?q&e6>%Lx3$q1zhhYAc$7Tlw_Vzh-=_J-UtXA>CLAfF zxlpfc3uge>+86gl#6`6x8vFi^Wpd|c7i6Y4nU{Oa3;6&}vbIb;OJj~X&HD0z4rq6w(=OQqpmi6GRhjp` zn(`iNHfuz~xTe$b1bbd1B>^ut#+z^N^Qhc4kYT z_BUb!)DQaF^d0k$_R$XCk)JqpLDRR)?}_Jk-N3V(---T=^F%89Cwj7cWES_@%;Fq| zS>5BD9dT!!XU2EQ6aN3Q?(y})iS)0{(KF+_3DG&se|(-|X&u$3JvOTIKR*`gzOfRX zZ?A@Dc3OCTduGrVl;u8?t^2_(oOx2!IqCdeP`XyciSq*x6S&N8Tr_&H4V-K89zd7M0br<`PTVy zXmbxV^*h3JN0!z5yHM{xw8|R~dG94p6%6{(Re0Q41c`#W= zgfo0`{sx1+<5>HuU$b*Q+xMSl&o21~p9%llKYQBHQE=`ht#|H>q5JuEe#gRWNOy$q z*ifxOLN)3iH#@t&8zVQXc`{&Q}`8!m0&v6FL}wq6zL%-{_E7ri>dUlZY9 z7v8(C4^QE~>&i(H-~5SjBA(otPB4y+oUsWUwdpzS9qSYHREhs?ntL@&t;cR ztn3Q!otK6D-U?@TT&c5Dx!dGroXf+Qv{$krJuASp_xa&{2KecH2JPE(XLx4dsrL*# z?Fn9bR-l2sLqB_dif0x0>)>HM(H-`jn~m!()Y^Z&<&n;r;s2IZ;i+{91)@!;Z9`n zu=b{6KYk{hhoe8EJ2H%S;Z^Ii-igIpIs6{CGhSci#m_}qZ1|Kgk%zQgypMzO*iU@Y zmatpZF??FoA>Hsv>ktpNcGg8ZE#EixRefkj_6nRkG1RoyX$s>s|Hh*eSz7x~g;RnmljcZcz%>81YaxqruT9d;&n5Up)6(dyHG)-+;->cyJ znM;Oh3)zpw&%S4Nz9Y|M4O^%)#7sZ(zo@sLdNI~pj30GmCr^*%YoDcz{2}ljPT=-R z2T;!Ou)E&dgZ{2L+@y|ZkZr$og7dM0Ug^i4Ts4_C1r5lz{wijO4OGlkXYmzvu)#Km zgZF@K^NQwt>ak8A(lYzD%=7);B+v6c*mx03DvwuzlaGO7lh`i9iL@BA+?$?bUf`7G ztDbPOw1`v8FK~)^1y22(QMe(-fuU!C3+YCmoxofZ?(wnyVC(g+`WpM@`^KBk@ErEL ztg6@n<|w*zxoJ%vf2@ulW_u*#UcbJ`1G>{nd2vqN#NP#u>I>_*p?=EZGGQz+DD1UsUO=K@wisy{^_3VPCw&O@qkukenuJQ zCpNAlbGj!+XHA1={O)1O{=tLRMzrzLWA?6lO=6n!pPuP`$8W(#x8$p2zd~P}pV}Gv z9g(ln{Yd!xb$op7N$6x>MyeYp@s5=X{VwC8IjZjWm0qhb7r5)i*`51(mL4>GrL!3O zVYf>?y337wl<|8F4*bMCv(RmWUXJ^y+ZPAD)^wNLp_vaKf9pcdmisk)$eCfUVVtYl zc~~py(@N|D^DljSc4BQdq&rndR#x&E_?3Ua_=#>h4`1!u`F+eqx)Qn--{X;9gKj#H zuj$Mo=5Tf9UHWF+<)bg+{c^!1ueO~y*hc2D8)M&~L9fTy1Q(kl?ELSvb!+o>yc1mY!E*^lb2##-*n3 zAQ&fok0+i%j-H$#f**DucBLb}e-RG#&%a#mB{emkwVb783W4;Sax zrs)s<3=0# zUfPd8tD$SG%q^iz&^3&g$}MYA?&cQdI$D&wu|+w}jmqu5twp)67Ugy~${D`b)ORbt4%jQRiJPUPrsGk3=%3#WAK*hb z@#ynH{OSqv6n84};n5$Z<(=m)*piQw%ffSiotAYT>)n!nn{?wb^WBl35|4c|t>--U z$}RarX}a^+>$l_&rs)ZfeKAdU9(&i8{PUz|XI#fUG)s@mk8a{E>ErSk-_sbof(N5~ zy1g^Hf2c*d_^n`5xev4`r@4H&-MmrG{C(q>*B+Y@`J!@1xGQlKzR-9V@;*ARkTdCm z8?C?ev$~YKpqRhN4#$2DMBl;if7>M!p$s|$7%E#K9%wPcYK$3TyWS|eR*4y64~%cN zE-lKwUU^Bn>AZK<@~cQ+X1Xf2-%7vHrj`G_n(44BsH3%s0_R9ea4q~x;c0bV73y3} z9nrym`}(i3`>(PGXCrUj7K6#Yoc#YP|5wNKug#|a+z;7Ltn-^mnTJX5kLlmm{|NKD zNty2_|3?!zKTQ7rY<6g0_j~>$N)o zeu1uBu@fCIA=r%D&J}?kd$$-3|LMcooi?|mPgeH27G)#7|BkYv+r&+mV_Rb!@9D&E zWOw_Q*_>E+9T|W2#5Z=5tlxE)=;kW(_oXU9WTNLXPdp2x5*~4M=H^shs`b9DQqL8k00aRZ5i5_Mg9ftX2 z=!P(dn7Z$sr`UI`!P{0GiB*l#&l%Y=Jjum>2EHj!_QV;YajSMif=UG zdR@c1z#}}%k%N!tO-j`$A@wi#>e1(An=09 zRH&=x44!tzp?G7ObQ@Fh6+eQ0hl{b+*eV^lHCz~5;}yqcLrf?B)|8&;CEc4U80ojY z;2Ui;{T+|}q94`<{KeWacD*$%tRKJ1J~IZQUlI3Mgzkzq$MGh+sfp7@!?blZh&`X zE7R}A@#(>tcs@E18K}irvd1lSSCsj%Q}Mm(qH_n4X{#$eU$za>yXm*Xvd`#(@?A26 zPD9tBz;3BSNzdA{3Hd37zD>(Q&q6Q9vQ9_!Ro}OFo@{*QG>>mR#&L+L6yJ9PV`K0) z8DEWIgl#;F?k>hxV_(X1eEgZ(wm)QC)7VzidGP)7AMOQrk9SyXYc*rInsLB?s;^{E zh2lfRy4r6%Ej(|D&zs}(-SK%_eBKeCd3=88w4s{rNFYu%2HZ~8QSo`lJERAgi_g=3 z3bnBoT8Lkek3pvoY1(r)qOlQ9Yw&&0kGcy(K1C;Mu`9AYk5pJ&ddmly*NN{JNBxQI zwY%)`eXQ;(zGLXci@{f;PyqhKV=L;`U9J4KMiv&&-+oD7w>hbMg5>X7du5K?sa&! z=tP{#VpgKleMy{|I93q{EZytyZ|INCQ1UVOy4q8`P;)Tkm33>|Gv7;0{t5WX?n`{x z%1L|XjdnL)V)3$0ctLlUTiPu#4ZhHsl$LgLOoK;W>}l_gY4FQ7PrEIq!8A#{_x{!l>tT=yDj;vperNhl|h$` zEh07^&kU-tSK+hZZ+wvG1l`HB6?$mxVU)Tz{zfbVOmH_pLuKff*;nq#8vm5wyaTzq zwV}%f+I0_E`@!dnwu_LzHsa2U*tY>(V(+Yx>=|kUm&(m;clT32q{se{UyHhGFt#~( zdVu#V;K}xN(r3+Qq+h*%W)oL6`p9^3mNdKw->EOY@8s8LuTEO~eDs%|=v8~7OVu~= zz`jE}xC6F_JvQ+!uVjx6^RMwy;A;P!@e44mompKNUZ80MGb=KG(z#+OGtzS_?9M z=xX$FDt>q$?Ts-;1JTABFF0?ki@dQWK9@zF>6o5ZMi#&$$Y=BqH-W#!90wvl%g@*i z?kA85;~{Lh#zQz_t3!GD&aR(5|N5~DYPSU4-4|hL4~4-HUBx@V{0Y2sVnKw>n2ar$ z413tu&K!2B?E$~D$n(|qySa<$zA5k;Bk!@~yqdJ$jn6t$e!p;)-(r0Qp3)5WdGIWL zqv&P0wrVTQE4P*AsV(Hk+Dg)uW^LhzGTx%~8|8ncVTx>H{`ujl<$k>Uz?Wy z$%g#GDasGV^75l%e-CsV=Nqgk$`8l#I(xM!zw`z9v!^Iu)BaBI-uhXYWdD$hM zODdi_)t~su_fJV?Q`nuto&8eUJ7s*wf5BDyl=fx{{`S3v^#+e0==jO{{LhkpHSsw6 zk(+3Ce0~0>N!dwwQa+*CfsWJ9&+nU}e6RXNd8e7{#*_7}X`Xm!mF9^Dn&ydX(dBEg zQ|E@K%@>(F>W(|@iO@cX-Vd<%e@ix$%?xw2nY?Q*mR&bvyw1I#+#q55HVRshR$rgl zel(So&#?Bk<Do z&iH(A?xvdN!`s+1vN7UMd7Eo~Y@y9Hzj>$mL_d=*?u+aFBX`e?cLy%CGmAb!nGxcn zf?av=v|P{XgKhbYnR{N2{~YLi&uNB>+UxvOz^8VP<^#d@4o07>zKyY17i?(Vb+6Jk zgmR3%`MGK%dvLC`RiUjT?d)4-oc}$zXdHC*?8#ttHoxwi2g^r(G^Uvej7pW`T6 zk++lfHGe;Ug70N|;F%uiD*B^;z%9^~H1UJct~7r?7rNdM{az~r+;)xSM&QV|0TpwI8Z}hQ&Hz1+m@k@Zcw=Ui*aOiK_XPPGi+)O)%Il=9&6$ zbZuuI1^j)`U=(;C@4x3@HQV#P4?{=MMez-5yA?eAP_u=C=RPUE+ZcXn?ZK|wMN_q5 z?a*I;7kz#ReD9mlG3lT5_n7?JsAn`DwR?j+$lo=1_@l$M>;?KSc;@#JWBYFox99(6 z@BQQCtjfFpdv>xgONb%F7$78@HN?ysDexc=s>p^l4-29oiXs?(YTZ<=Vxa{Q3@qv* zS~D${`U6c+%LZ$Wt=6n!1*5W7YZ0}gRl6IYod85_et5JBrWGMjw!^J{EpdZdbPY zBb~XeUN3y5&pzh%;r51XSUEOk7teb?7WSEqeuQ?iJbOF6!t!zSgzJ`8@$%pLrg7oE)9_XnX~HS8m)bRHv_M zS2mgG@W(FQl-0gVpUa?=#+bureISRAyhix90{;>C)@%i91iQ|kZYx%oGJDU_!}O7 zuQ|l-jhHSIPiDNsF6446tT8^azvptVd(O06uEpS6m}l*2K?jbw&5~aFPw)`UEnmX_ zU5oohd&w17zDBI;d&`iOV7JoeiB1rH`TJJq!!uiMXnNN<$*S-{ zE~{ID-!1=M`2giv4kbsrng6f%|3CNt8~pzdID@I@ulE1%*)ROR*#A%MAO5fR|BrQr z|JqkB_seQ{{NE0!vClE|9^K{ zu})y^pW(DpTp>JUGpasj)8CdiY`ni-xnSjYzu})B^8F~EJ$#-^gERO%i_a!LoB15b z=WsrE@wu1JIG;KnDMZ#pvqSh)`K;kHz~@{(gUM$b^@@4oE%*jIv3(l9_84A^&sZtu z9`GkMZ#|4h`TnEf({?%CL#Sgi$(qyF9Urpw$@ILR?PK&aexI-T89(~YPU;J??Co@B zPP*eZWcoAP_ue9Ug8uZ}Ya!2B9M8-4VLW@lW7hH5IxXX2e?q(QydxdYS|5+MOUHBF zOyf!Xw*j4tgdUX=u&{gM=x^;=-n%OIxpTc0WpCH2jrcj)w{$)?yQ+7OXok%S{xR)- zj@?xIarC_T5=UpXuYmVB`qS#7e=6?7nSX*W8vPT4BRz?%OD9@=bYi_D_$L-;c>g8d zf%HZEWaA}#i4pfDvV*Q=pXbs&Tfs~37LPc5)Nx30{gM3WfVd7E4&jM z-)@g!TaJu62766b`^c{wITXfb`dW3XI-lnERIA+$;3U}AZXm0@ccyk5!X6#9`=hko zxmoQUNxL}ih@0ihVjqK9?JY^&y3y~yDLzT&CgONXI-V=D+Dj4~tM0cLj%U4knVm(uefs>$zYODO z)M*|c)O%V%DY3+je@nGUU z^ieo-r1SQ@m&vCNaY~$%=okEr(fk7LbfA7$-)Kp(32i#w*Ee}KIX&PK8>7pdR(wZU z-p$pLw(Nh&|Ch8DL_g$!w8zHx(3xyuGYzhuXSXtE zLs{)zF>i~!L_Qu+JP%G)`qenaKjRD8g9!~ZUna8=U)oh%cC0V$yS@jXDeY@Z= z`Wh(q1+824g--S{tlw_FEqx7m*=FdXv6Vgs@0|?2m^<4iBf8=P$MKE$_y)bt*iW1v z?Q62%X0tg%neIixp2)ZEMQ)aJpF^fSocz}wNNi8|t#eT-ldaPJH-2Mt?%M_La@T;h z&)5g2^6pnK_xfJ%-xr7PY)c7#WGtS8n>ZotdpEepAp^8Qr%!F^U%&k(o>k=AFc*>c zlt-0(E!5mmk64&kSH8;!x66LE<2U^FQSlsl#P}`dltrVkKAhaa(4Tz^J)(8t(Vb=R z-rv@kCY6UAFSAC}AMZygqci5RhTmap`0}HQawj?aBK-PAXfL|yoPf?vY%VX^Gkz4b zUCn0|^2ZvK$=_<1zs|lXdJ~x)++aWXTyO1pP0ux!DEBR7hNPM+r z$9iNb$n2|?=K~LNltE_6;Wo)E<&xR$@VjJo5cnpef~)waa|W3mf@g=|ZOM`1HrJc- zx8wR--Y@fAk7EV5DATvZbpk#2_9oNdY%&e)qD+gP${jeEtb;?8yZ6$63b%5w%eea2-pCeoc)R$qeBo}Ll~@a{cm8cwlfTcs zoV5p#QSCX~iJf==ISG73-SYW+E~YMX)p!Pf2@bi?sq1)FN}h@D?Aa>hjAy?_Cd7kA zE1mtiy^)i$daL`U?si;+$4^xszSTI>@r`-@&*1a~IPgS6H-DyYavtx}K&EYfNj2Xe z36Jv3?CMt9!FL1EZ-GZmU-0~ACou=elIdgVzJw3PoR8|@$-0i@oVf??G1@!8zRTns zsrHD(IVz4}B;uqwS{cSriDlx&QS&!9_1w9pHuG8n_vuEgiu{7FgSD_1M3z?^s7;m{tcGi>D1=*-Pqoi*6c=&O99ljHr|E zY1YZ)=tg()>?P<%>E!8l?FH<6Du?sFg`C{xp=Eov^pj6OuRI`Mw0vRii^?8X|8Mf3A#w9EZD zeATBsSN_OS)^376OWXD!OP4^mA9~vx(ze*7z0WZ{jNdT5?OJd9kKXnQ;kyGKgI}UQ zpY{cgXMbtQ#gVchrH~%MxAWatCs1xc+lkGq?g!UCdOxSFx-GI+^3hxzd>G9Px~D5KHf$j z=mPDN&&#;KO=ZeQ=4HA|hq6vDGx_Jg=^DmhzBl?U*6+brFRcv!OXy>jo4(NZiP@CV ziMgm=l^M+j_4^uV$n)+S{rlbFJF{4^;hX>Z*~Gnqa~k?S@;7o=jeb-a`$kMMacNdN zni$pikg?aJuAJ|3eoM2?x)>Zzfv=z8{P9i3ir*h_XRd6l>Q85Ti~Vg4{XO*w^mm>2 zcYyb&xHa$3=i0`ndx?tueIoR?8=l|S@on+`ehQ9~`9Dwli*u>*$p@sr0nd|}zwjyS zp7!PU9bKFFWuwm#r>V^wbE#Z=tlvY-)^o2Y5K@`S@*fApaAZ)C)9G-?u!8zTfSA zYp-fP=k#rKz^9C~etSZPBCVCo$A7$Zg=;+S|ahWmCYnDJRp) z26hJ<_)H(q^P_E{Z3!Fr!r#RP5+7Dt*s&gHAse_P&STmZ8~8l6?Qh+7t+zeU+df11 z4zc#$zg}zEw)T!*&uw*y`m%wU*FP-wH8kA@esdBV2rcnnTid`e=CgkS&q@dE53Hii zv;WZ9Y~Z3q7B&#F4qGz%v`j$P>xBO3i%bxIU`b74G-{M{Eu`rv$f3qq2mQCTiXj5K&EH(xI zfLy1+T8?cAHotH5Vb)ep!~fG>rfMhc`R+c^zfbb-wc*=v)bn-n0hmwOiqAIo|4K&g zKvssqPq_}sjeH31;0$w5U9B}+xp-K9EYEwf>Dl);Xy3-Ro^Og2h;n~BUdh;@)BeqRTKIekd`@wEUTL%Nm8J980g~ zbA;TWvrK1;xA2iKdph_(=5^)QrFvU+Dx94WKd!euS?M}Kl7HNXSVeqYe`|K4&aLbv zN4ZZr{ZQBG;arvJzY*uv3V4q&zVAp!isuy9tU%UQpr7Oy73PY&N-VDVjF0uJQCHGd zI{p4N?PHUu)Bn=jel~53PXC(P5>vIZ2T`Zr;%!H0Yw^G;>EZS|{U)#fK_6d+A8EG# z@}q0-_<17ZP7l*-S7#@l<2;wwzv1ZG)h+7Vd{BR&SpVjuYj0>#e?;>~{pS?xfAr|u zr7h}@dHpB@IX<60y7uxG_3K{0rwIScN7r7^qJBkrC-7mB*XBQm|DB_2C%33y_4?6g zxsLwivmE1eJ_S0byr2G7PEq_?!Ux%T^<5`EKs@&#^Y=4sgU$J3d=byNX>QFvbou<^ z8>TwLcnO=m(EH`AsjZ*S)W&#-Hv4&-#k7&%RU%HmUiRP17pNROqim%y@Hffjkwde! z0n@4AoZ{v3arRH}6Qno(3%Z)UM+VK_ANmAiVAdmy&&j!13=F+?>Gw+6Kjbxuf$Pr0 zb)FLg-@DvnUW+LyOJiKsv6xc+fPTvt(6@X6eajcnw|oJ8%NNi$zCfM1GaRnMW>Yo{ z511doZ}S86Ek8i@3$f*;$M~8m_CM0s=B&4GQum#oe(1*0(;vU)+tm%vWZi)AQEtyE zudr94yEBa2;?Mr9wrO`mhU56^qsz3=nW@zP(EO&hnzq)jotVn5)Y5aGk? z(`a0FDVL;ot-=>^{CeIc8Pl_bmThCSLJqc= zhs^g~V}C1_UqXJgCavF}ZRBCAZm<7Tbi_ZZtUqNE93NNisqQ|N%C(PQ-zA=p3^&$O z$D)q#w)Jv0Dcd4iTYcKS9$GiWINxi?(YRnjBl&BehA*V!-XL0wo=38ep_}-`&nIJ- zZxZ~v_D(ENUKu=@-)dZY6ApKO?L^8gcQzRDr+%jQ+^H{LFFxmJ^oGh8Wc2TA_JZ5n zN4&r}TWGb5|5g51N(ao9yjcB1p@Y@iI9fulyaHN;@@%roIO{26Gug!ZDhd|W-?@^jz!eOr_>PYVR=r}%d>!gc>tW0SAGYl+<*x_e?pR$Cv} ziJ(!%`xm_@fG@puuG8Dr!1qUQXA z1)jB%g>P%UDvkFGb0b-het#TXB?|-K5_OBoLbCq&-z5uwdQ=-(I3~zI?~%^O;2Qau zHIg6))G7653wp3y73E#-Y3P=?$6_&KkW84~7LSpimu&SODPHYmua)y&Pjk7+pZZp= z|HvSJ#%~w@_ww7Y^P6<-QQ(>CuIeo z1wZw+zc1S1ubU5+idU938awWUjMZ|pP6`-BH?^m)v4j`#y9&eDgs(eJ(9?-{@p zjdR{y)y$icXYD(zQd@g&^O}2R%6L|i~a?-1GsyR zY{Zh_{-##?O?!nzpJq9HV)=BPs}pT9aKt`LDVB5e&_t;=}_T?gJa z*NS}wYbUVQI;{1AMR^9_kqh0VwW5>$qY+~b`uq?27!9su4!9$(m*pFYCZe%DkMWcD z+YZ-^``==)LSw7_FvCOkAJza<`r7sk+vc0Xf%N4nxE3GF5x$ZES{ zUa~-Q$?GZ5{6TMr3^nCUa+=DgkN!G5j*J?e2RsfP@3#14TPmLeQ9kv|-|dj%tiCTH zU-K33dxG&99Mw(cFw#}B66ad;nSN}3LOyL<&qq(F{q0X1d=h!V;H=0-pHJJS`rA*a z-QJ?U^+kQ%_h5Tn#XIP`2(Jp=Br|`@^IT?#gFi|GAM;{&^Iv(f*Lt6_KPl~`^R<4$++1e! z`VM>**TJ^G0-3V%TNrzMKUdTt%u_YWl4OsxUbph=llAK^)(kI#`L13 zzVh3xct-ToSl0Mhw4Q6ekNPGypZEy-f7j2`-y{rS6-C=!C^J#t%c1L4ly`iPtd=>iT za)Uqf=>Ni>Sq&eySc5GwcaodWF}KohpQWwjS?d@k%h)R8yWPjvKK+x1?C0_We)371 z>OS>^+Sa6Qll)L$Xa1V%S5K(j+M>Sc73wc2)<5HfTCGKW(<{`MKCAi|QhC&GqoJ(_ z`uZMz;*~K6t~rl;_2DU#P0HYv+?Lup7IN|jPA|o!vaxY3Y0%4GO}Y7n!09Dc%6UEY z!5Zt53$!kI(hcUC)uF!SRpMUfIPYnj60jc^55P~x-|{!m zx5!RDF3FH`;J3jGTJsYxJex5X&5&cuL98zLm^}^OGRjKs!xidg)cwX#ID4IO|32q9 zIH!~Nr_ed_NsLjYmz#W0$#(QX-|G44Lm3lgA%D!dY5JW@j3)Uck8@MCr+EKY>H{|4 z)2DnL`ns`K5NL;MK76P=F~udr^e zeUiOxVu&MDNBT>#O*yN5{b!B1Hu9%n_qZ7CFO(2GM;1Y69 z^PA^e>jcgEEV*~@3FMTNLsKr!;-MCH|03`ZA1fvmEyq|-z{i_TOFeh}^-dpyt!Im0 ziGR`ViFU{D8*8GHz_N5D-=zAB(uk{_}DAMQgJ)T+4nzLhm;Y*c+U?cAiwELt;lM>dVIP(#n?%{&Ci%G(f9+RF*GdBd915B|97vu$?Mk1tJ!)_k~`Ac z+uI`!#9_*X{&O1~B2RqF;c9)U9S*819KPyxEpK1Ohl4%?*PBk7L?=CNepmE4^&Gv@ zr|0Or{JGnz)RyM!EjGU)k3JCBa|`2C?7mts7otaz3F$ZF@Db%eD#`kQ{3|Q}USpqH z%%!!WTeRuI1$nkT7kWp8&biKpYdx{6wtiB;S?Ao(0cX?O;4>Ee0jE)ME>-`uSf6nX zxJ`Yc_ml*I~4m&ejKu^;Awh_ywEQ81rq&;6uJ;p z|GwB)tDLP2bc++w)KF=3tH44fZvp#v^+gW>~s=M&jXIl9sbDy#31!!n{)MD^Eq4D+xvlxeG9UyMo(a0v$5G$#=Ro;9D99* zo+q|)Fy~2pPvL@HO7DTR_$0BJW6=(Qm&I1cHhgW_&Gmxc!fwX+)a+?uH%Ah?BYMm> zR?VG0qDRE_pRqx@_a~?4EMpjsv8>C2wL26$pNvKJ@jAwWezbGCaULTb+qJnowz-|S z@V{Yf_a^rB+dj{&bjKAj{|wKy)17aCkEPdlL|V;*hVJX8y!Uz0H`-j_jrg3WJX~Xa zL_BQtp-$TVAQS(m=&&P^BhjhZS8d$?w|5`% z0XEJSaiZd9*_=!88*fG)C2P{n(s`DPS%@#oUY%BP;v1=#<_1dO1bvXkNs>eP+h@eJ2|Z8xSqshNYoF@<$Oo1luvnG4BW@RC-=_bI zVaefN^0BO;J_-+1Wakz)+6_8R&uZOno7Oyk+@jrpw^RPd@Jsp=4}3l5 zzY`wN_$J7ahzGvvIXd8HdY;(E=oeL)!>02|^wXQz#%iwj zL%uSljeNi#3T_MAI2OlPu#NdR3*%v({pL8YY0gCNmu#CeN${*kJe?k`=2A9o|7#mI zE$T9(Av9{&Mzl4Vxjo^{0{)zQZ1Un}->F_E zPene+cv8HN97mew<<4irjX4NsnW;PG`c<}R7jU$XTXcT`pS*qCM-kV7Wyd0)y8agr zs=oFd4@wUh-VNP5;{6QxGxedE)NG>1VmU5?qZ|dWl;5{Hjzd!&4D&a6@#$~pLHd1J4ue9$Yr?%`h7WQW{=Y$M6R;H$^n06CGf65NKJzPgi2 z`|-{Hr0xW??z!mb+Pb7}J@TGn6F*y7q{VN5k;W;nS&c3_7Wye(Eb42zY&wP$R9DMzleE4Y+p5*(=?y?Q|4XsDw~Ox;Vi%|3 zn9rMF*nGb_++U&pb**c1H+Om#Sn-|4DxT2!fVN}i?B>`*4c@K#oX0s$V_&TgZ_xb4 z^%vpx+16vf4cqxiAIqECj794-+T&3@vSfEP>A%)(?_ex*IoF)8&8`djQDeDqrm>8W z|4YVF_xB;CbR14(GaZ|FKyv!leVEg$d|bYk8)WsC)^yOEzTWE}4et5;t|AzBGE1vlhbUw%7>z;;}Xq?_P5Otn- zDeTitVz;3g?$ha6oZmSa_vmV0ru1t?Hk0_F9`~`qLq)yvW^&7_@44M=J$H80mL+pL z5OtGaN|uQu?EayC-ZzlUA@URAE9&vyMe}*PoL(0zr#;to?aLeUr?NWwu=KHYQ}L`% z5svimujogzeP)D{UAfHod0yDhb6Rl>_jc5N@?b;OD()W|UD7c~7jswG&ZKUnk7S>_ zx6EH?*^WEOzLT_zdc*M2JkQkj8*6G`Y17tt#M?>^wI0wkKaY0Q{w`@-bvbK^BV+q` zQnzVrht52-^19!Cj7E;?N5@nv*9CE_Dk+hqJpSKl$Un=7F z)N<|jlD4zqcYad03BQ#ydpjoqV0vM6!+#xm!N0W&wsKmA|3D|`Y~TpdF>VGS6{=IepUa~S2X%Z z|1A(cx+`09IiTmRf1}O*-6H*8cVO+u4>WYgZ1n$jQn!izN6t+DuO#iJ(Vw5AM9=dFEy725t)Biiwndz^7{@nZdDRUeBdZWMlk~#fvoQ3|3O|*~n|AF(U z?9YVs@eR+by{y|~(8Y5+2F*O^>}(`6;!3-$|}7;X7zy=Q_rG{Y$)9Igzq^ znrT>qhO#dg`q;GB(s(o4PWp$h&913jxdp=!-G5Fpf5To!Hls4pRWrLkH{2JK(`9Y2 zRUeA@M_B0SQxaIQzgDocXR6!byeq|3@m~wuKGfXTz1nlVD(P$3eO>Kq?J3q}&-LL+ z-N@S}MK^zc^&bsXx`y8KaXJ_*H#+ z9H;hcX@3g*__JL>ADpgsE0|x8p@*a2Im=w+{>beKPvDP~4tm|Pj62WSgS>eJNTF_cu(uRs-KVJqH=9G8AqM>h#L(BQ$88FAM-1DeMb*= z?V6-+aU#D7AEpI7JbfEbH{mzr)lklJ40h`rRw`*8uV-IS89|6Uts@Y+Zb2Sm-tQlmo%22 zfsg!wyOMECu&=fQ`K`l4;Vi-0Zk;7i&Pn~`ym)!J_RvH_rs90piRX5ai>w|4-#Z=h zHpAuG{WG=c%qHJoZ1cf#?dvnOS(#0m9#3)GR<8a1Ol^+LCa*2_^W}2wQ%RfQn0tag zR~GA%hxp61ZZel{-|p49qFa+X)9BNcO?rOQY@+G^`^&XWGqstQO-6oRwl|(Ue8?qY6XE}$pDB|KQLZA^e@lnfn$rH;zaK;I9I|^id>>?f zu6T(2FuCH!KFRRkaP4-x)API?hFf*-76f1KFI~KP7$Vdp6qi{fyY2 zey#lxb825q+Q&Jla95J%;IO3rgzV%Q$JhS0MSYE>`%`m9b(f~m2KZM0mB-g^PwGcm zvAe@%GiYOSEqcZ_uRFf>{x)p}yp73qLZh3UMnA;|NO@Mj|4n{@;K%v;^vSjB6Zo^u z*Y|0k&ezsi=4;S#`8w@%Z(8iz=#5UlH0iq<*AX>e@+S+t^10YP&eyZ&)LxRbkMqTT zg~{%D9Zj^f{+>Ulc4|^Tr$6m80MH$v?_&es{z# z`i|J2)k%NVcn4z}e!M=mk8_V7wj^mE$HyIzdROYG_TMz|*PX}L<|p;z__zl$_))Yu zuGr?@<7*vl+8BS)W>vAx`0=%0{%b?V(|!g;N7`t8EbUh~+x<488{^Yi_%i37E{1NV zUo_w7y@5QIqkgGWi*%0l&!K*thvK*TsFcv5zUDXLxzike3qN@!G}qdH?B}5)^v+fK zUO*mM@D{jEF6bl0LD%C4ZDSop`e-3=;ut3sN1t1<^ZvSTUgLZKU;Y{3&VAvN58!WD z-DG^-J}&E1WAJz??r%(B-`m5Si5@%gs|+@FX1-u!>mIG4kiR zb817$JPyRY{cZSDxdO8p<)Qnu9&a>bE~55JVspr@6F?o%;7hiBiyZ&2@`OUF?4|hrw#Y4lY~NxGTAQ-^aSRt7P&;-X$M7j1gXLo47)}g)5ot6J_?r8D`84~K z$=T?_+JE%va$hd`c5e&s>a}w&z7IhDTNRq?eJiqydJnqJbh17d=J=4#+Vzn>&^P6W z1Mqk9de7>tT^Z{^#{rkm{CQtz?TzVkpQrpeyf~OX_gEr-P7HNX`aGUTiFm%WvvzL! zJnjvN&++}vN}tELH9jXlHV~gP&dAFHP8-dS?1awpSk4?sZOZ$ARuj;I=OmK;McbxaL#h5*p8HXjAS>&)jDp=GtJ#0siSJeE4&F3P1AyEOR#E@G&A` z|J+Ho=DMx)3cp_wzNtoD1s1dn&&Yu)Z<(ExP3atK_|2VC)X}>s^Lo0Y@zf-T>ip6H zzuf43A41>a?|gpzZ0o`4_>ixS>G-02&N99?dLMfe_@xu~9mk8j{eL9wHD>9;hgBBk z7x_Ln#V^YLEcgvL{O_gkou}`ktd(BQP@N1u*MDozKEBxA_<3D6 z^|}<_Gxn?f>kk`xWh{Yd^*NKIeK9#tT(n>9+cVW?Z_wFk{mb{O-ILU>CvumcXH00J z_ms)c84wJ{Y&i60Q}J$t3HkZ&+OPIEDa-`td|pl~*?sOg-k;vD_OaR8yfFByc^mBO zUnFg!eK38X{fvjWzBneET9A$zyZg?h-87o6&8E_|iYM={B>QDrq~ZTMP>ckkOM<64m&NS3#0>8A0PE*_(^p`y?YwGr!vi#`Qg;P)%!rV z+nS7cFy!l!d>Q*;r>-vXuB@yET=qwD$F1+Dte5$(J)WQ9<9EhI`l(#+iTRf|g?Lo| zyFV4`cQcl$tJm_blDK!1J-5Vv%7M%GGJlNq8{wmzx^j`}KIq|?XQjO5zFfyM-zv3wG4i4{E zE4RNZB&VP9pBe+_|GEUP+;vBGP2ZoDh=*SX-IN>6L^Hl~8Z+-BK9+dziSiGI<9w&t ze5V<3xW?hIcFo_&UH)A+*?r$#ncYRCKJxN;&1Jp2uKsqmfp@AF+jj=tWw}|6 z0UXAmNwcq>-21^^G2)*|Vwy?LPS|%&k5&AaPW%Kqm3QOXm`?REoywS2H}e7eoI~tM zx$(iNh5gy^lF?UZ1{5zQd|>MuYIkT@Q|aw#?A6dZc3pFmK3}-?i zbNLk9O{IIjte-<^2aQYLI=#_O_fo4JHp=EP;xC?xxTN?~&U_e+rQdDsS$)u6{4U)} z%o_Ry7yG{?!6T)S`f#6w{dZIBc`%+f*@pJUi(RzEugl=a3E;G>GtcY5pC*e1eB1WH z{LR`&tW)U2`hovU=HW-ZucPsvr9{q$xMN}HLe>q!ch1)>blO(p&)!5nN8)-jb8T|S zdUM2A{(<()=XxpHWy&V_=v|h!XP>z>ewQ5Q?K8V;U|PBM??Y!BTd_~Zul3RV9-w=g z?hKZ1v#Io{byLHaq1*c|YTq|=RB^s<8k72t^H=N}9*E-{h&-9pksiYD-PHGDWB`5C z4*!{8h_0L|*tA?QTz?rHY>mw^di@sWclBrrK$}EYjkxUDd9^dMDV@zyom7VmMjEL+ z(ILgQpYXPop1#rgYZ!z2TFLKA`TZJnEBNO8$b1h+xR*|UR)qcMf~~Qa81HK=_TOXU zmu}^M+yf`QT0$==KEnn~>3zgDPq#O0n#$x)%jb&s*lBL?ZK#jliv3(#=!gF;`&mst zt6TI#ndB<(C-uQ;6X{$RuSb2$yJ4*yI!pK3Z|Pb1Aknj%?A-v;v)C~9HkiC*pMlqq z)6zl6i{w;rx1x`wPnTrju2|{i;#}aL)T6vZo9r&?uVPH-#|Ks*|L9WQ`8w5e;3?gL z#eT#9({;4ba6WL0^O(Yg7A@gYJ`FCgY(C~YP0{O&C9x5VPh;}_WjAb&(|WWuI;dWR zN4*KkrT@pz^ghn)o7y|n5&S9qhWwqaZS<_|4I0uOxBYC-x%`Kw^K=EBJ2)@kZF`8| z)vbERMsnwp{9E1~8_xRSt3GgPR(r5Nt39+Ls}W~~b7+if(8vE0_*5~Fd>_V;s zW1p1CPUP*|^*I-wP5Y!>-e!hAZQmufM`I8E;)XqGne=X{6IhJH%4<%iIA-*M#w`5P zbB8t4#qIZoDc{RkJ>G+!O+JX<_7MKRt;4j4Q?~B-(DrCoBVUe0UB{SZr}8@U8oWE~ zb1c8M5Bx-*rn=E?!4H)Pk9fxXYsO?g8Q%vL+D1AR;gx`g>`XG>liD-1lo(BPDb~vp z9P@thyYhbVk3`dAzeWS*q6n`9JjIdt74-XtW#p}_-yloro{Hqmb({SANX)y(^LIl_ zc|X16>4NP$cOXw6L7s+?r%SWiO?#)Wqi76zhx1Ft53GO4zG!ZA2YExzKGY<$xqX?N z1)YjsmyaA}VL0Z+(4XurF-F-_&=0mo#(u^>Sk`yQMP|o^%a-zmdrW@dZM}CryXzve zSv_kmS@xDVX7M93rdV0JDSXpb^(i;o2%Qw8>bc-VorJ%3bCX|AE=_(G{sy{|PxQAw z;l7nu8UTY?iZY`MG$Z_wdsUy9io+DhNrbMhPYXw&j?aO1b( z#y398B)L(`RaQFv8RO8qkA%nfUmtK3?AdV2X#bDYSG%wC-BiDy`Oa}~#zFnYzI*vy z?c#kP{f!*s)YTnZr?5AXf5mr|d0DM;#kGGbnpsXnFbebYMf^=WlMg>yANWA>4Iiex z+H_f8YRCP-^qIqvuf%iVLjIEH+-13nSjX4K@_GrKqyA`mM*AENb({L&zn*Cxw9d|Y zz2yysr|}Wb4CmMf{z>FJjm!4aC3PY!b#?0;az<|R4>Y%B z=tP^yUnB0LW_=&N@Ar7FXBlI%I*i5Yf%{m(_s^%E_}+55f+affZS>)rJz#nJF5oKu zwCD4Jd!;sg;`FM@3nERW@pOQ>A{}YL88QTNwS<*c2EN#5+P0XA4uj`@fZU38|^=OXg zW|JKUPzRacK%Je)9roB{sp~%)buTGCn`}HgpJ&#FF=bnb9e{oP^03G6rD}&fhUe@F z;M|d(zbLlBf7aegm35$hwCC_tf2RG0qC++@-=43f+Cj*`a3j15>m(z<-xd9@VqZ}n>8qOdMLyB` zO76qcm|`CXx9H=M-?9(s%t}w-sXG{F^{Qv)bcy3oA9Z*^`cO3Kn746Mc!@85^4d1^ z+{ZCm|0|z-|Nr>k(LXs^$;6Wx|0mk@kK9LoiZ8iU;y4Jf6}HkA(l4@F>Wb`0uyEgMNg^qf>3@k>D}r>)OT# zE%30l0qwiRAFrmgYf(2_N(XdU%k^!07O z=x0K|%9U5d+qX2<6Err%$@x=f&a4f(VkTT8ogwUU;FK%Uy~KhM+@1FJ~O$T$wxQ9|Iq2Xe4{ID?~rIa z?f#!ayd!_l;t-vWBWBuL&PMCNLH;Jm)2M8;j=xq$cB7m;Kp&MkXeyb?9V(hkG{uu1${TE*_Mn5IJH;mko z@>He^k{D_$K6fuZc$AI$0$-DoFTRpFKY?{k?!d~|iP1-SKAX4$nuI+t(gW7?krml00=R)3{W2 zOj357mmQZ)X%4Ip@UUE(So=|EtNP$miQ|pWzR-A<_A9-*xxDPoyg&W#_x~E7{tx+ojZOb|_ zZ~8pR&PTnqnKn^x#k%rMY<^a6w0oi9TRTr8y<37mb~4w0{2TdD!6%7&IBl;ytd0Aq zeefHQC$|lEW_LY3tO4bIgzu3l_zl8OIzGke?Eh(;avx(KaKb)`PDe(Z`2U3Hr22lh zQ$5ie)994@68nx*Wfq)t_P*uZB{)@F*GdOPoGRIxWfi*FM%y1O857OrlZ!UNM@jZ?^=mC_&eo}NskWIu)t_>yx?9No_i%@MoTD^$81mR* zvBwVjPd)AbH922AJ$85tIL{V4obG%w(!b1eDxB-q{i@$1M<4g=u7HmVIZ$#-qxeyy z2Wp&*V@p5l=_bqM-aZ-5xNYqZ>*Sng)}7D+&xPR3c!l!_ZR8)T@163GMY|La-AA=A zc+B57JiaJAsB84XF0{i#I_X8?AI8``mox7-xUIZwH}A)0UjTLqo1yP$Pnf6h-_QTC zZ#eLqe7YFlt;Bc3SGBXy@;Azv)`lKeJW`pTo$yGRdoox*JpJ)wYn3cJ=(MXoz8(F- zUY+iLHd#-2VHa^+FM2-epBSsNmp#OHi$i?3WoW&vcgiM94{Oh6jKj6>UGpOzQ-1B` z&MPU;&Df80?UU%|qn8W!Vq?)9wuq6$m%%4WbxmVG1$%8W?zPFr`3%y*-u^PW=RkB%*>sQg zE2aE8Qf|&~gcu}Q*C{Io3I5Q?&=U04`NRhB>k8*rz0a8#1ltk#^>p}^oD=-I?et>~ zZ^^GC{UJv)(tkerZR}0dd&qp`S6dIjK5p&*fbF*^&R-~x`9RicOrI>-E`B|Vv$3X+ zXXs}*-pi|)3fm%h>APw2d>3&}JzrP4V7K+_IRTxAF5+2HJacMee|_!m5Zjavy2SQ;ZXP;p&-hW==WyO0 z#ZWWRQ#fdDB2BkJ(;sjiaW#W?UJ2UrWYoPJ5&Gd^j%I9@)gV)B7^*EGygLYv*DP=ZS#LZeqR2{|8 zHb3n15PYLkG7r=EN4gvxJ{V(LU;uwxRts~}ZhlQ?Db97>Y_uZBqkS~OW45^~&fj~P zzu(`7`HOyGuuPbL8|MYXO%5IJ}b)R&<`nu}L z>3-q=Nj|gbs*!l#&pya+<=}*;5}UM7x_*8eT~E1i#pet>sl8$1$$Rj>pOW;K=(;=5 ziE~+hjrVA_(}}8=*GY6@j<5SrMP2&a!Z&@%o;Tgg_}>j%`wfj=?4^_Lort>h?vQ6= zU)D5x`EWU#jCx--v$W}wWp9QTAI6{7*&+7bc%G_ZXJh@SgKZo>=dvy7{|^55RDyjS zUyXiQJzehiRnA_HoN0Vfo=V8m&K2yT`%lHy;3pqxpZ&ozw&M5M*@fs2egoj|!f||z z&si9>F&3h(1UWs|r^=@<`MiqX!+bXT_ud_fVfSNiP;(5M`-a3o;kWKdb)PcEJWI&K zA4RN-uCP3{V(uZvw8-@ddbkqb+p9YGm*|<-LW=&m)G@8eUkeQkMm6 z6+Iy zH`=`lc8_(~ysp-x%@z$U**;7=*+1pzBCM_}mc68@t@m>PwpMkzfM2Iw?=_Vr&+Iy2 z?ym9ycl5%)z4Wt-ej*NA>4*4i`xyJ(avRHfcai6{=j|7l_?|bdDHZDcglFR`DDOXS z`u;b{v_@z9-?ZlBGCJ%2H_^8pycG@)T{j~<>KU&nHxuExObqlzdwD+l><;s_g7da- zRSXmF*grY?dCar)j<4$syB~w^)I^J-4|5}QIh=X3xh#A9S|)ylezA|}=huO?wfuqY z&%AKs*>`l@@ut4gs%6TpXice6{<*wd;~D`LI4u|fw)V7G89XVOMt^Yj744uEd zw{*a3@1RfY)RNNIdT;80H*N>Fz+*o4A;yjmm7a+h^R+$m?P)K5?*R7Yzx2H!ZN@Z~ zpQX5Pw{VxQK7Mlc1(OlK%deW>`vuP^AAsCcU2eut?)ySz`ErYiiG9r1R$129qch}R zu-JU*%zKk+xSf5R$c3tn6B<)NuLwHH^#$n8_$vk{FDcp z;4zLIp7V&&d2s@d-v)0n@bWq#{}IO5;Gg%vKO;pR_-tdnR&y`Dnpmy7J~p1c82%9q zgF`#x!=b~r|AF8%(Ty0$^OD1y8GnR)mF0OZKB#q`rwva<-biU@>xNx@U+B5N=Ys5z z9&(bA-#o{Y$cJLh=Y#J|vN+=N+uTQcn2!PTsC|W*(|^OAGvO(iaXm(I9p@?4896Ny zm=S0E%{#L-v(v)h?zmt(b7Qi{{F$7MB=R%pHh(6XRbyO`(|*I9rGuUoWbM=jkLF`O zXu0XN;Nv=NC7T|<$MHtJ_8|07S=2#0@g>&%0{<3$)Y7*_&*x+FJ2$I-SAoW+y&S-{ zJ!w&o*R@w8?o*3?j>`Pqe!9C-cWTc>hXL1J`8YKXwzf%(emC(qxf%0cS?3HoF|0|Y zI$U{3-RJtG`}s=JkHvt}y{-GnW9v3NHsg5y(fd)1K^}Xi@n|l3_!wWgo*#CedD7!l zJ|ogoahBPb*5g$F@nbm1USjV%|I61TvAaLMNd8OTOLmBTa z%=VVGCujeyQ#-iJmi3k9Jvm`bXG?kMo}HYxe}LSq`D|LZ!H2Tn+J8e{Xs_NQru7K< zkF4X=wI;w`^@{wXdp>+vv^6Tvw8tat&DoUi%^|imyTy6780Yey!9DCL5BpuT2jo)r zO|UOybGcB?-Voh`(p0zHeW!BBO=av6(YcZ9iF+o>9e4aC^r;*KekU|+sP<2i%MX4Q z?v38zz|Ou+?6kD+4i-wv{irc+(fb8SI*X!wX&u&fkPU5C;PlY zoVL2HhLzyX|0d796sns`P1+#-)27q ze}eKq;rzFrD=yopHmX~U?6cOXV5myvUJQnRz%Zn>0LEISr^Ab*A+#x=_{&{dXY~=nA8c zJ?kmkGs%jCq5YvpS*X0;iJBc4ioDFT*fit_zUh8M+V<7=P!6tZQ|U|Pv+jrcU*{0P0s1E zZ>)GnTb;aHy=-UTM(w*3n(05e3j3bt-<&hD|BL*ab4B)_^F;RD$$?@s*?=JuT!v2#w zQ}~9Hi|1FH_n}BP#k(t_9N70m9h3GwQ3>A<`S-5yy#-y8O?1?Bx46zF4)OiK+-&l@ z7o_)`hn!e;#UZtSDwd#Z`!0HsMRe8Ux+iVS`7`Iq+5*c*<-E;*;TK`( zch~cW?$dj{buQ}@z%*V3&xHxxLHFzQo;~I3%5$vGrv07v41D$=Z{TCH9pzE6o=N?%5FwZq+fWFHeWNe+ALIRa&G+pkdu4_?zqRKLPu)6o^&;#ccMLcASj%=3FLM`jHah-5 zR?}Kh2Xpr>@UVR8cjwr=3_33;HnV*Z5ij&u)#IE{-q3G@(eF?4n`3d`2r)<3SFXQr zm)7&(7x^K(sHYrU9Uf+ld~^bQ{;i93g1LQ@qP^yNS2?Ravy@HJC$=Ksx`TE0OE*2E zRsrW-&=Q}E{2^-#zI!E4IrzRa$b|O5=W@1a7MRpEm?z8v^VkID zp|ilGuE9Juz%)8Yext1A>&eJkXF=9jPk!u`&fEAi;`I`;rgegcDc9L}<9mE8J$oqD z#mCZr#b@KO4F9X0-q5;1P9w8L*p@c3p}IDnRkP3tAHM-}78+64U@DH8X)f`xbC^A| zz)WK08DSC&n`<*BHFWj!&Os{OG zuW=2;{H=IHxisW6-3zODCCqnt7WX=IM_%zZc{%fHyhdNqK5M`BG#sQ;9EahUI~5ML z{|X%Z&H(va-SStGXL(=vx5d8do-a1ua$PnSV^?7O+jGhBxr`965|<`9sDAlR752S$ z)M)cqb8b)j6V~H*Fn`z$``yX!A^$y(-~ImkP<+Gw3|XZ9B7UDt{sw((|2Z=dZG0t; zTlEyfd%k+u@zoio`{iHpJfq$F&X>Q<`-zCHY~23a;L={};ikXQkxl-r=ex(eKl7Di zZamK;&dwPer@tx`wx@n+j{Qbul7gD z^Ei%5q)QSzRPAi`((Si645N|el<|$YAFntd&%)$31h)-VST`jV)BRjYcgM5R0 zch>t^Q^wZ!^F72jz9#pxQitz;zD>t77ZazjmMwpF{q8b&$zJKq2kTxIyS@ti?fwpY ze4RIq^)8@XahzhRSoS5_oJ)B=&Lme;&G)Z_el!;KrGAd5jeLk+?q=D*-7F?68n^St zfYatIr;YF&XY8^4Gt?e`p|UdMnu_gCN!q37_zt06@f=_5OKTJ4uvx!;C4K_;?=V-@ z$Ups*L)%zBnClhFp>-@Di9AotunXG9^18>Jl3VWf&C9E?9KB@we3={CSU$NpChb4T z-%&?CG}2tM^Z0o|cCznQChPKfkS%+@W4)~jNiU8iG9UXGbb5c7_916Iz&@#XJ}|ro zK)j*6wBRXUuX7BQ4ZGG<-o{-(x3dNoW9szTE}nfaiMP{dR~>e+a>|OCQ+O)#K1PW_ z`OMH)`mESj`b>RcN35@;TxHf5_KG{U^7$B!F|pxm?;T!Hxx4o!^x}!8d*F$&I9`L- zx=x(CDsi#tEyim7kz1DCkX`=-y1eDP3U)N^x*~r&xffbU4lhw&o9~$8x!d*CdCZ;4 zGjdbg>ACgk`P~YA?IOR}YqSsYo67~|dd?WkzvnyT$|=t% z|Cd)VfBf!F`&XMdkFs~swt2brWiaV0ndcOaerLeg5#hrh8e7x-eJ$3dGGgj)(MCQ= zMlAfz_ofQzfmS1K2PH?cS;Bv$Kl*ttx9FLAu8*7jyob?U@~8CvNA|DW{4g@x%HPZI!*2$U zw$JfZ-^KITf5me%KSG9$PWXv8#OI79KM+9`Q`C9F~dva@7})27sua>`$hh{awI(I zJUrrKn&$VeY>cOp&IxU8Jo_^q^5fCR&7j-yz}MZ4HYTr^KVQ%{`8zx>(p~!|Yz)+Y zMtm;1#WiMRW^5+j=}qvAHs0GCo?YNsPVj_o2MW)!<4HfNm*WX7=gjn+aqKyF`Z#_V z#{s-w_;bm^!N2RWa8iTj*zY{f9IKE9)Ev z`Xu@VMbY&iOkU@*||) zCw&OlVZLQ&)c$dwN5zv(eGav-70FyxQkqcCUc1RR2`=z8r&(v;`TL~$o7dRbv$1CjF^cZ}%eas4MT|*!8$96x|3zH2j`AGf zu{LDyIzop}>8!Nb>#l$UYpC)=@^Os$+zE$sfeqfahQ>I9-39M#ZB|n(vy=A{uR^Cr zT6E9Lh;0)64K8C&H{oaNZ_M#RaEkSs_y>AKdgkpkm!cDV@++s4?01#E)UVkE#;M=o zoP4rgl-lQVIGeu{TIrru?(u0Jx8tdCA10de+{T5@61~jle@7$6viVBt7~YJx>U7fh z#E;*6IWom>-QTJ^YLAR#=UE(UJ?bWJ^K07R^ELVx4HVbV|6l=r9sJ;_T4}29+duHW zm}hHiG*0>%D74ias(lCT%bcsaiuM|FY}b4TZu|QO#FG;X;VsSmT3{CVvFf%ggI{jb z*b2`_;`sfH#5v#~`gUtQU*B5K*Ei#`@6PaT{Iu5Tq&Zq(@yKL;2hr{LHgQc)&&jv! zVvVi$;^&V-&$)GSqk^Y-sxR3%T6+ANZ{O&&w{rAHEFV&NnSO09f^QP%&E~*muj(|G zjyu!Z^i95y@A!T*ozG)UPjS;^RpX+b{npr+3;WIZjQ4y@b@IYdhKZ#ncXiv@`aR?l z!n?1)GnQF<=m1YFs6xNCYpDg<*h~DVJsPKR$Dq%Db1s-1?yp}KcsX0=a=uP{8FWr@ z4zFOGUnF;8{6svjx#~@9-*Ccp`X3eiF7blyHrE&>d-*&g)9Kh0XCE8qkhx>NwO4P{ zbW&$FYVaA4y>|m!?&Sv0aQ3lkoa*n#`_P}Ae^X9mhW>WJzw#Yg_4hE(B3*^6=&Bg{ zucc2H@;~OyTn@zt_i!(w@gUEeW4S~Rz(aA(edlWEp!Mp7*`&=CJZtUQN2Imv-lgh? zyb!i@EXw3j-naB-w4caW`5qmTyKLERGAlisKsebur7KdMqA!XG}f?Jf?k_b^q=3ovfVb@F<>4h%VKjVlpCEZo&nwegw3y+{*tRLMsYIr;S27P@%Ii{BQ zwekIOy2GpJsu}03S2(C%7h^@{%nxeUUr(rG^f1^#2S1VilmjgGCwK-EK8W6lPbxnFexv|?>EJ!4aK9jTmT)3bXTI%#kTe03(cfUC*EDwjLfI<3v2^yP9_ zKg|20pGq%0w`wE!vS%gNceF|Ju7j=*z9PD*jr1n8?=3a!*4*AB3%2)Dd?lTVtQe17 z#cz0DcF*V|nTxr?NHfYRu}nIHF&o~{axBt8<|8Hs0f6lkb_y_lKJj{#v5RsNmuzV~ztXXg~UrTgx ze*A4W>6~54do#kCg5eg^f*hgwCHBKHb2?x7c;mM)L#UO^XEwJ;zX&?Udb@ zou+Pa&syKojb~5L?{k$S^F33i2c!urUi5AIic1vuN@ zHTqCL+Pik#N{p1Sumjr&w| z3%-o@#HF+a&!%$)$AcGljk34?W$cSPhdY~nUtF5kAda;AUU!iHGy9!QR=zvO?jagD zHb0-X>GT)>uW9Ggl=t5P4SLSqzt%x4wVeL`jQd6M@>hlO!zh1uTK>aO{#44}k(NKd zVsM^9`E_aer$c##@~hMGbGxj52jy3!<@bm3Juk^_enVP*)&W-kKPlgkmOmQGAEW%z zwEX_LR{vqj*Qe!gInc@oF{$t8@k4sL6J45;Xl)oS?e=L;WNBO$6{H&)K zoNrKma#}tT%D+naiD~(Rq5Lk&k4?*$&o?-qqx{IU{4JsU)0D4D%kK>3e@%H$TE6BW zgEK<;lC*pzl;1}AqO|;w1y=uql(YA}L5JZ`{^yi;rR6^i<(nukr{zZ^R}Jd|Ha`6Frh{h|C#ls}Y~zwxOC=XI3-Yg&HDA}jwr z%DYqpXKc?kh4&^VU{GPP@jKx;}MU>y2mj5u64^aO3wEW6L zto|vKeilbb%$F0<0;>omfs)BkER@*)}Zqlhgtn+QhsY%{^d}91m)U` zkk8BOmRS8|l-JVo?V(r{$jx<-ef(HEH>rWmf;ElwX{d4}|hM<>#m6BcXgJS(Q&8AJ)B^&i_r6iI2!RXw7zl{CN4Qy|)zC?b7ptdHuDa z{;#f_Ucb1`2YR+Pr`&m-Pa{t`5_4_JXY>$T%_Z-VzRM_C=Ns{y1NjcidsKiK;W9tA z=BFH+&g!b1GuET|8efaG$Jo|zT14FBIh-b(Ryt1coeIip{{Mwjl2;l|>7=|8bn0a- zrSc^3(H`BFG)m$$n?G_^tmB0kaDVbOn!A+^Iw7+b7mvd`mV-JHy!L1Q*h8TltK!nb zUhHS`lKca_X8G20YozV0d~iSa?2m zR(m{iJ}cnayzZ0W*dN|GIss0SEAkLpy9oT%Ob4yEjXp)PQLINyjvX`l+Ij;ppwVSj z>Wgpn$=_9)t~0UzsdrC`CL`s>S%k3fyg`$S=QM0j3%Qc5<>r0o%0sdbZPH|fHB4f4 z+Z#3*^FfqlJy~rF`*^<0ySVduT1Tec&zZ-zu#xjTpBZ!R4cX4&vUXx{1)DXWuwRHV zeFNAn$Jd#R&w0~upg$X5)GN$)c5%sY=blyTBZaTKYFffibi_cqcL*I}@X-+uBQtS* zAuEMG-a;Sw{vofM*I5wi{9y|`v~Ry@Pt5!7oE2uzE-65qU1+ zqC2;;rQwcF$(YI6OnCPMya!X>PvAE3{!;E|&aPZ0d^Hx~ewO9~JvYJqTFd*mhv=ir z=j&dT6u*296TDK{ytOD3sqSO{iSA0b_2FZn59_&R(?83-489(!XWC;p!n|lN!tb4# z-8|b~iKRjRa6Y5a?p(D))`Q*-dElt86-V~+Jnl!ZH8IL;FU8W(#(wu?;1SmCtH%Vr z-fUCSb>NO~jX#HVu{W?T_FD4S+^71$h1uu?cbIZViPps?>np;yy>F@;+fBaP?p5Os z>=9hsj60Oa*+Zhb@x2ey)x)x%thsBA&DNh@+r0Lq`;?XcwRLUhE#Mjd*LBY0t=Z_I zk`$(^4EBOSZy^wqJ=)n4b|}@O7ldcaBq@uTN%rZc8zk&4b9Mp z{3yXGF;{jkbAm_gTX;mAU&n8o&wZG?h;z>4ZTNL8t_4Nj>}v34CGxWR!{^#{A#!GG zJ_p#E4||QLCb*ASH0dbyP4yhYJ;l|F?LBbwMU#DL2QAZf!drVO4R7&u5pQ2J9CJR_ zeaPtT523RsZEZ^a8TvDyPoHn;#GEFtMGjZ_J{^r)zh#Ti2ljg z**tU+>t9~q-cx7gUD=eC!8_Gn&hDXK)Ytf1wND_N{ZVdCpI0Rx)_^l~N_I2f>?a_` zEpty;mcK(|Cw548p4dH@(qmC1s?~hU}(`3t3HXAS92+on0whrM} zqC4XG5t|SA$=)f;J{jG&v9o*QeTQ&YteqKwPb=`C+T}hLXN5%rtzpcF(+vEF{N?;- zI3?#n3@3Q7h||xxKhpei;Uxbt#p$$w(~D-qX$GD>IpPG*8cu~X9pc*}PTv$x@Ji(M zCY%-ooO)-&X$C$I_eV2c_}p+RoZo1L(^lbBcAUIjK6j3jcsj~~cslIQZrt@HUj8Vb zH9XXP@_P&U6UoSD&q#dPPGo2mavE(FG^t!e*)8nF@iMj9qWg}j``12B+luzDV{0qX z7vg!Pbk~WM8{u)vhg}}UYr?mRUYG7_;G5)5hMIGe$}L%6&kk$&D-2i8An;B3rk=m3 z)Q(pfy1Wjpz@Z5jwZAUW8w;r`9LA};lHbBXbzZ~orkrO#`_N9szs8ToZeW|RRi{c% zhA~AwZ2mRxDY+Cl_FQtk0vpHsX2RYK{1?3=0{V?bpBbB%Vc+$B6RqQk9`#kh#$o^D z(*}R`d(hPP+zQsNRpEU)_P$iXydB>)?jcN`hq`v|^Rm+SH|()@>+tT1U~2;mx4Wag z;G5UsPD}RY=RRJxeTG=j;H_x%Ve`p*SMt3< zW$g_*n7u&@@df78n78C!0rm#r50Iw|`Ag454Lcvpb|`)oZ%LPy*)MeC3&d;KJ$O7T zo&3-0Py1q0xahs6eKBvO&D7N|VNcB2TlbcIPfWq4NbhK`lD@nA9Spi3Uw07Ly`>i8 zH1nR`ttvVCCvdQL60U3T|3Hj)!L6dU^8FG&uFk$awY@90?VQfrmBT}w&r(NspPhj| z+AMtN*W_Sv!=6W6{z`Qj!v}Z=hU!*|_pv$7w^2{D)7UuEGTQee?TP1(x@+*y_~tJ6 zT$Z72$hFwng?L{Qb!3-(zt#BajiYu?0Cu<+dK;{FBe#^>-8jU#D=61_410DJ{V*oM zu=i8g_`Bw&@D``_-xgpUtg?j;G`4s9*q~pld!|&^ zc%2wc=j7YMBxcWHUNs9$>KaV^@EKvwPhh@n7MRpEn5>7)2y<=%^Tt_VQrBRz#xo<# z{S%n;W`RjvgSmeLX0!ci*h};Val`cYewtja4e!dV!(*wODu<%~72Pe2KH19{h<7F{ zFJ7D5i>m7s)zf_l`YwHUK)&hOA3Z(TA@fapgD$drDrH9(q4)W&9vb@S{#NIx*^7ks z#=oW?!ruSkxL*-oH`(_X519=)8*g2{IkdLqvbZ z$6+)B&qp*?)&=Z+bQ?Zy?=3Vs@Jw{b{jJ`BAGida18!QY%5ifV4@{#m`KbjPN8gFv z>C?N*opx%M9p|?8p2B_8=LC9}c&>Z4t?mo6DVA|9Ut;v)ztd_mdqv;W>7AU(6wDW6 z=kStpnqLRZoK8AhWPK=yRnDfe6CFq1?{4L5{d--&^JzNosCPY; z`|NqC=Fi{j-|zG9Tm5^Be}9Z`=Lykf+F3<>U;Ma9@^_PxVSPtiD;YLl4!_2DDbbg9 zwk8?-NZdmY-74tFT?-kz&J^P(*qlT^RQ55_iL$J-Z>r9B3Ez+VYj}^<+HUz#DywvX z6YX_Q*I=NhO$NZ@Unw)361!kHCH!5F=Y6Di#Jh_FU+4Tw-xcNV@W%(;p4vG%)n{y+ zW6<2rg)YVy|5M|#v4z~@0@*p%ffmb$BrXYixeI=g?z=Tz>$=z883d2!^TvGUx|ccC z*;^m|K`OSF3ZS?#40?dx6QGAtabOPybY7x)-n=u^Y%cKm49SvI~ce#bOCHQ+p@ z{$563x_jH!6TZbgB=|#BY=raB~lU?c=eVt?yUOodG&5$QJ!aaU9@bNlve30yn9cvHbqWxT<> z=5sI<-Wxu(z#izNa5pzq|QQDeiCJaa#QUnM~LIB0jR8rgxyb>OO4$(X~cXbd7vjvnzov1982(%-ofPTgcT! z-C;N-v>$Ytw)Np%jXRb`qFw;E{=)-5TAf5kMjVCz-#>tkblWLB!x@#t=PxH~1yS~+ ztc&*ozM9V_y`*xj3ugEo$2zV4oin{wj!$CWwLbeUy%!nOS`K*_D}SGtZ}D>E*vfAW zxfR(&v)Axj-N#El!ergxP+vS?W#md?j>pEw|7hzY9SpYP>U*I7KkD8-&dRI2_rCXR zCbNeD2>~R8z%U}RCnO?83lt+m#>kl1LyRw&8iEv0Gf~@^TB|v!4RLCnG`4bU`rvyY z(YirB@|>z+TGK?SpWs^$i7zod_HhQZ?jhO}>&s#KFmk@XYpr$fb>Fl1Ks@d9`8*ZS4`?}V();-Bu*uBR^^I#5Yt4}WHj$nx9bnNK`*e@bb17zxBjyZ z(^JC9OUSb@8ld}32YOrwS&jP-xE6o>d&%Sti_b2Tj~{n94|68Qhz*EjGKy1&`+tJ| zw>7rtWw>ql8X>36%305teu3tJZYtM0=PTc7;?+8HjQm^k_=+yS6?r>$N1 z&hUYLH-ACCfYuYH_ZvJ^^Sonqx|7K(;Z3W)O^*C{)fb&hhqgs;qZiS(RwUw97^XE!Go1$f^KT<8k!IhZ&Je9hjgZ1XDAoAO>| zU@e{hnx$G>tAB%|n>9!{gIFIlibO-GYKJGjChxl0NwuXO#e`o(K z9)#XAyesbpnjvHI(Q|&cp2Op(KfpY7Z>eG`ma7%z22@zniSLcKz1@uIs`kVfY=2XG z3qk)E>)b&d-dB8D?}+aq_ewYzj{U;D4PP$6#rwD1+6MW#6<oz6!{h>^+Xvb7@L+`$7sIiC_aHvMmH;4|(TGk=47WZYQ5 zFCNjj=$X^;z02Aogiq`pYgH;Jcf#}yyc_Eq<7ae@U=WXKP6m(oKs?>i*aKAT2EIB} zx`~*VKoDPbYQ^KaJlb%*Xl*{Hyws)n%$H9feJk@7s$mm5*z` zJNZ5P%O5ZuaT&2a#X#8mwb)*%>#kM3yLs>LS3l7EHala@y_Cf7>DS@{)K|kTaWr0EVIwUD81Y5|4dowXYYS*u_dM!-=@D|p zl-KI!4&3G!HtTB*vM)Kr2hupgSr*%l;(OnQ9{KfzY-=a)7HZ4#vYbsV#QD6f4fA(4 z*RSi*zcJ4z3(#%li%-jTCcoL>>A?S1zP(X?)X&-IL>{QP?ryxm*A{&ea5 z-(G6Db?9foTzbI02UG1or1nGD?$0{=pg51odBL8F=Pah9y57#qwy8Yu+vxISazEo4 zd~ZX4nhm?&?1Er$ymawt;wBc?*+0ZH>DZOfb|rRpRSxN zBdYwmKSl zT8{DFPt9$NzQQ-}*`2(Cm|aiR(OYdsDa-4S7xV5Ze;0a-b$W=EHRNdNDd`dIt!m!d zTecWoq(=tA`@^;FM)nUJ`EX9&ln)+!*g=nn>*y=!O~(hcWgVfmwl~5$U*nmr^?QQ@ zVV@G8K56eWUr2grKQO7D%Ji)@#=Xef7R8~g99+mB(=+NM>+u17J@HiAhlR(@-3j|c z#$&=76uEb=cR?Z<#)QIPy*D zN3j|4@&59T*w;Q(y2Z(~!G``6j-)$HF95%Es+C1LHPA}7RkVAL>D6exJTz6WYR$5L zXvyh&{d$FWWw^bREViZp*SmOU@JX^gkL{;*HpArSGGs+^fL_wtVN7~Q_*jW7qHj$1 z`+TGz7sd;7e7+EMB=?$w=oa*pcv*Q<7T>2|z2n^Ro73+n@vVYCR$3w1y#7?%b$ydB zVqeqc4_<$&^it6aSkMd2`pMd3BjWx;c^kUDS$TO)-{f}~M}D|;%YNSBYwIPAg+7p; z%#|UZW-Gsbg~ddBzjQ_Bn+Kkgu239a>kOOA2Eh)WZlFKufcV+v{@LXoZ?qj#9pU|{ z(gD7;ye-ke^RRd}rh{nX)&-GH>5p(2Xm^)mjmj~#@yYtSvv2DT788>er4VRx@6GHkI5@`g>v;Dg)v@?pJ>IU3>`lu4h+ z&PvC~C)R&`OTTFBwjR-R$0_0scf04%1v$1l)HOX5>N9q%XH=&mouD;^_d&IvQjsqV zUjEkPwe=nc@5Dh?i7_CvW30P!z90CNE~-e6c{#0y^(MSIMNXMxkE7=)Wa6~eziQvM zvv2Y(?6sL*lV2cSh9ATWvZ)z=)868y;$?6Z^YTC#S9;R;)%U$w{lUwd9lshsF}B5V z#Iwl1>00TuX1b#6c~ts=-)e7bKH5oV z($-JVL3g}b{v~m|>5A9<9bA7o!g1$(4{eSA3Zdk-v;%Q(W2>yldD|;>dqri}Qt_cDTAY{X+yE}Zoc3!Rc{?%T%)zu@oY?< zhp~c>pfhNOYh*XWg=EXeH#C;;D12lxE`Ed0#4|?wl}T2|^oy6zjPAa@J(Fzmza&0@ z?_=52dfJWU;9e+x3vGd8TK>d#Sgc!i-xc~wGX8EUOC4SZhW_|(eRM>9XdbfP&_&OjJn&q&?{#I_dbD5b z5%(@X{CvBUBG_p5QSkNsJ__GKciH-c|I%Idj*}=3C_Ah*xOCS6?7DnFd*7ed4Ct-{ z{U5S*W@cl&?J(aSJ(hbO>8fut583O$gMr7~9*N&KFrOknPS}ev-j@%?8d77GST`7r zkX>N0_%H8X_wR;i&{TXOyT8BxdVCk>lN_r!yDr?C55YRY_(ir^Hev<1mJN|U6(4-O zvG1^tx?v7A&l~C^#H~d)>40n<*4>c1$}9(G5m#Z3hSLaVFBk2Dtz1l>tV_n|FYsm< zU*)4^&zC&cZ{w*lziFpFcsJdtUg&oa`t{!WI@Y4>XE0XQhuTqB?Z(ufVnXOA&Bb6q zW>v29BGRwsXR4mykqrQM`fa!YUtv8U*wkLSIN-7#bRFgLVP6%z+vJg;_QC;3*L>K%!#M?`DEXz*%0*)%UhA5r{(IR)AUo{=A9@vjS=-yr#tA6cYP zpiQO^#3zzb>dQ73>zjR29WSpY$1QlP?)f+7t%0a4_%j+K)|u*a^0w$begEFNpzA+I z7wFE?SQpfT9F?_S>U9D9l@!G3=as$#b+)Tt0AkE3!LmJmTtO4d^@c! z*?!vUijR;3@ljrvY(Fhoe4r!bVC3~y44d(zbPBNMbc&Dvna=P&RLldz+1)4f9qCrh z&GrNe{@^v>D8OtwNU;;?HgC%^S(h(@-4T8@o_-6zqu3ymcW`tzePQjqZzu)2I4v#0(9b4G%^LflhH|b^OYV+(1^K|y+U7k0xc|VM;YGngj(9~=I^ANme zrD-{$DZh=TvH{ZJ9v9Qu0KuucYA4!RtV}jQHbgMU22lS0R~pL(1YckUv~lr9^bK>A z-MAOsldToJUJ)+z$?4fbTqKSu<>E=K>E+)T-*hx=t?g+NhkBRzDm;g;s$tJr>(<|u z?D)3Zrsf+brQf!Ax5*kblWkL+Xs~!j)Y}m~H#l1Km9?utZ_fjYX$9M;IojSjuqD7& zoRjLRU6nbR4#zfDmvIiF$#^ATx3xL_+()}B*6&)Xv#7y82ztuo3m=}iO2b|>=})*& zeb{&f8Z-V5KtvEdzFiTf8Us$;&a zhcAvxg*+4KDZSh3IC$ZH4qH!zHG#!b!ISmBFhA!at&J|&WaZ+Tzr4M{4}pi}S6RCj z^s?9>^BnW@6%N(L;u!4r>bs3^;|uX5Fe^qZ9#=f7hi}7mgbO{-{BG*l9xGi z+rPQ|NX7JP{eGXY-|rKaEN*0H>S~L^y1~|Etg&pb?=Ueb%LkBt7H!4j7Qep|A9-UV zCMe#J?_oZyXdB`{Dr4_}J^#bjPJ58$!XD%bo&CF*=ZyX5?z!!`D`tB?u_!;kmhF37 zd%>W0l#g%p^FprjxY>SKdyglMBOValev(A)6q(grH6PQJ52M$;&#%~5E-u`{KeRiI3jU$#)@gixjThS?@s{veU*-JFu-*~x znQxBY$9)iXSC;$@t%X!y{n*-Hx+l!xUp~u;sWYdzCHVl6TPf$PJ%bB z@r&~|orSIl{G#WbtN~TO61`*3+9@_bzrpuc---=bT)@wz==bl3SKtp9|1USsNA`RB zr`fxi(B8B5ZuFh;4t}2f_xt@JZ`^c|a-8D);+@ieE-x{QIpe#ahsj0o`L02a?9JPG z$++fX`#!$D@fzjEN63)Yq~fo8@hy_!&E3jP$b3xrYao-m?Y4I&yJ-7cZ+7D=KSKVN zl|^>f1icgy*Q9Ebpm@6*Ksx3f3P+8R4qge%hv z>@~^*jDI@Ve12{4`2@pF_|(gErkwGVe-y(d zy+6qFM9*1Inj9kogMMz))eW&^^QZ8CjE49yYNN6AKW_iJ;@NiUHSm8E>+5b_jgwfO zhiJ49JRU~|p2dA4#Xgf;8a^BRXu3EaOMIpNHVKAl@I@@b@iTtKaOg+pYJBc}J>&(b zOmwGSmH6LsKerNa#N+B-R+CX|q4Z4rEWl*<+Z5)mdg@EMOK|I4k;*jBd>_5GN3U|# zGkGfXrE=jO+my@S&fQNYztHc8lS_c#SI`IgAL|3jIJU&U7rVJF!C%SbTYe1h!#4Sj z{20pxK(;d*BEJ~9H@-tp!iz>ry+6d}jjqhz#ogs%rqJ8=hoO<9JHCL{_O@;dIa+JH z&fbE*7{zNJuHjepkQe;wQ%SjsD(G9K}xz`d$7*;Onek%48z~-;XT^*D7Ofx`RM_Z1HpB8Eir< z|B{Qio$dR2`Or9mCw?wD2{Ke{t7k@c$>IAw-QN!{1ReL6zU(iP$!rfEUv2WX^LW2p zDMb!Vu8KL@%8SySyE=n>W+nGlF6TqeiRFc13p$kxRPH>;8MOD>T}2(q#4p!#pAhkP z)=FlpD}{Q$;5q)7%d_zEF|fqThv?_aY8SgQTeBUBayzkM@%e#@w>9RIYu)7XGwn<| zeCG6{cu(NoK+sF4J|or`pmUkV>tk4YuDr2>CB60Xto4BeqiXshdVnv z@2WC?`O8&*&%ND!B>$N?Dc91iNte3Z)&9briI1_r6Lf<5?Ei@N1lcQee$7Cz1JNB~ z_O5pDcygurdDgFBiqEL)o)?3YbLy6JFBo+m<9^0F-_t^U`f;iuhZ0>2PmYkwJMli& zLijv~S!-qR1fBS1#^c;Q_jm&@Yi^yB$FDU!D4#}cbe1%RQL;D=%$lF>An^5XvHTmx z6b|dlX)7EJ-5?&AIJw--(P(;QhM!YfW7_=CiOj)ta6QV=v9&n(FY-*7ZW7pD<>T z27)ES8-B0w_-T0M5BX>hqo%X;$iLNT!aFr@6DxBX^;DNN*~B8`Ub-ZV!8&GQzRJ)A zR)<`&$=hDUI~M&Kp`W!RYsIlmtR-b%Soc}(7T-C0zlk$e0Vet|8iJ?HPDrQ1E6UFl zPOw!jp9_A`{j8LcJL&lay+wQDm*F6HR>l}Q$HhE!HYCF>ysFg^voqfriQ=R2G{BJcJ-c9T(jA}^zsr(Hpg#*x{a-o4f1 z1U{{KKPkvuv2JNm-{hdKvHh_-ClS{R`Ol>VeJ*d=j}^+>D9>V?*y(0%%?6-*Os3!L z^ojWe*m{czfdj=pWozG${tLVeZ)W=GbDplbdsNUNz3mOW)xC~27<$||xiez;enmg? z4<&!nMaBBOFURzvo-K0tjo-Vf91DwCMQsC4k|jI~xPY!+2X$G0=-9K-w1^Y-(C#+e z8ISn2ci@p|{CKVw@AGTHVSo3h@=Tk~m2;8G!Hb`TxrjGPtix@++H7wC-|hl%_^bA< zHU4PiA1bb+eO#L_yf0prE=gER8ISPHVm9Enh$qhZWxNyH}pc#Xv$_^mqxO6A>;{;#8))erTg2a(C6 zUZ;<%jcobsWaKihYiu8(OnX1)x_+|;(RX*JhY8$-b&d=c{{ zEQUsZp-izai=|P=VrlppRwjMt%g%sDgD3JqY5{(gb@rKUs0&{H3x2KJj84p7wpVwj zW%r259r48SvYhT-LEh~auh*dKK$xG-OUifrc*8!LEm@W5Jf`Ivnk^{y*K?Ns z@T-E|3;o%yy}bwiqwtNk)OqZ2ZvxujVY8`{yO}uXx+`FpxL!?DRYM zT`c%DhWCwgV~9tl8zXu?-56mm#y^sUcIXZLQux7O(bx|+@GV%6uk3qZGw-13;T<#< zvmo9mU7>d5t@>1AXc%++DktqYGcNcD*})KYe^&xQsv2#eK$YDPuK$n^?vx4|DF8C9&p!J=j-ppSLN*dMRokgQTDp9a}y5$ zC%W0>hB(8-EBP8R$(uXVE6{uwv;IBukJqa@3H!+~!OMrvl#LV2hzxk~6 z)oSm{^j)Ek@p6(@ONr_n>)Aaky;frazu{_lWjco5`K8Wbg|fS=>A%JQ_w}Z~i2r}` zlJsBsU+?c5Ia#h89N&bTvgXz}moQGXo%1=nN-28_=$qZww$0rAC}+@~+;ws(BXdvKV$^ZBRG)t%2*bKi5>$M7TDRPH`C20oo# zhLa?-lvz*TsM6O5y(rV6oruqT!i4(|;byz=@t!0w1%U z8uWg2DeB_{^^uQ}%8X=ntuOllX#7!oC$n&2|-u#&Vz<;$D|9mx!<;H)q=WEYO zzZJ@gI(HKLv; z|G7OC?JE9G`#sn>}3O1L-!K7dX;7 zPQNvt@y@$urN0B*ii5zn2dmI8;3~i;eV5%eg>AFnbJ02IIQkw@E{m1PKcZat`RXs- zy=nO5O>xP)V~wAt!}qdiUXSow_%_&?(E`+_nqz2ZE^oiXZQ2_YUFW& zA0K%b^y9x9I7ex3ba?L5QeLKTxBmBlN9`f&F6n_z=6PeE^J_L@i*NVq(cAGA=$AWV zz^}VYq!#imG~Nnq@$L94;XS9iH*g)Wtb-3P$G&g$_FaAUQ(yiK-@UVUt3S)xt_Pg} zOwSNZ<+g**1Rmkm=A<_C*IR1%MV&TI-$Z+FpPjv!ahdzp`CErKuGcP2?^=saUyV)& zzMH_E!3AC_ij{#U>-Pa!P*nRCS+?P1E%C)&(_~tjZ({j!9UAhUp5X%-! z$o8S$-c9K^zNX-lZ!a4oA5?H0#~vFjv%1qk!Q%UU5&ddUcnq72Ut%`rIQX7A4(Dt9 z+|{@B^#|SQE26&EdY%Y8vf9s6@r9Tli}q>@eZaG+-hpxY<}cPBD)0CH{$7_%ap%!S);t> zc?kc&?)K(#%=u^VvmYeaNAyyzPGv5-_OV91$NC=YOb;CS(BYX~?%lJ@@2<|x=&#l4 zoAbi-k+rvY^2LXLto6bw;DkoXCCZ*}cnbZSZ%hC5leLffcjMC^ay$_H=g1!}&iCIW zD_zK!_bEdg;rY(FZ+|plUOVMSe&@V&1~ii&pmF0iq0fQY&ZqnV&nqQ#??&bdA5=hqxE` zG`4t!+<;Tzcec)n{11!Y!pDL`ALBhwTf6%`z@#>QZ76?7d|z6$+3xoL6yw>sr3JEy z+fT_a##g?!zShrgE%p%^$j&H>uYInK>gD*d!1oUJ>kmV}TPlweOPQM>hunWr+Rb~; z`X;o;^e2p8gk5}}@#Vvf{qdZPQhwC)0{NZzt9=vuxr5ngQiQ7@FBx1*3UFa70$ew= zf-A^I5w6QT{hPqG^L#%?@T>c-9iAma+(8Sz4QB9cdLF#r$Na4<$Qgc9n5*d54Q#qY zTyZDchhfSec;Gl0f1Q;!n~TrIILCI? zFHP^#I4^VK+(i4az1Z8W{HLt`Cg$6Te)4O@D)!sj-F;d5wy52!X=m~q;clF^alAUi z3FVa@d>-L1I?I?u@#?^L^}qIWg)W+VasJXb~yQ( z#zzs}F4KJRb&mJ*pEAw2(vD9^pEJ?@!ePBU)BJgB|FdVOo1*qhnzZknn}^5ReROrY zCTcgQS-S;I+P(Za>GG&usaZSL2J!rDycuiK1yQ@7vYyG!^JeJ!ygRV*$)3v2aw6!lO~<1C9xV39e3C1j53D${&EeSE^qWze|3(|$y*ZKmrr#GqXV!z9 z`f`KiOA#zRvvaT*Z*9!U>aktJ&rSbE<7{+1^*+WiK2@JDZZQ_+HrC_OSf%+>$6~D! z>4jsvUh=&39*womjrF!@tj-s2&hdf4y4K6VHZKSG|Aw3Me?9$k^|RLX^LpWP8*;Fk z|C9+&oxhpy&)Plo>*?)LyX{TdB`+<|;f?Fk-;df{)1*!3<|boR*Qc+I+Fe1r`s?8j z`DxzgK_9t20P&M@px~#9&arghFZgG|Lk@@ES)cwV`dyDc$@=rL-dgBScl<82`1R)V+68sQYXg**(095dl_1-zU5&PS5cGd_|$^bDO< z+7s?A)q2bJYh=4vznQMxpN>U+J?LW^CePP3_|15pJq&{fAJugKLJ!YtE>DlC590K~&3_d< z_^O3va~JBn>0zCQ;&`sA*@Bz0E3UJYcc9`b;NNhD+8g z5#K+#Yep%(UG3*M9BvQodwqN4t{&nY;CQFjWUnoys#~SkwqB3w|zS`3$^YMp0(i7-4KKXe0N^pIqJiics$j5fW{bT0aLND##vEr}#;;c@V#}dEDyffsL6mk9ohsJm~jVn#a*+q+2zQdHH#)^79C^g6^D6 zS~}%E$^3eB-Xk^n&->ZST+W`NetS6<{YP1Ijom{G=;~y${xW!;HHp5nHEO^6Z*sfI z|JFKmBfq!6d&mdzGxr-_B;GSo--N8;XZG+v=_#e(l`qA9!{{g4(tC+B^)R>kJzf`s z>ku;;y&Aj18mEMhZ2YtrI(WS>PW`ZcI7vT221mcw7W++4?z*^~CiHLl9<&)}AJO_n zZq;rkywlkZEr~r(Y5Spa`jgANUIYhY^!*R)Z3w2y8r}!#b?xVt8nW#`x>?welHV?si4K?3O6kC3S73S1S{gc$c ziuzAb|Ef|~SMTGmbG8EeeboD7&2Satcp%8maz8%0=p=kJi*?6UZ=3bORmA7}mXQ_6)C9i+2LVNHzwsrWVVkC6FGOUcBl_GID`?8P$no7lIUF!>>l zrG2;Me7}}B)1UmodFj7gn%r&ogcaaZo}u1Fa*2m8#3G)c|5fyV3H{3+HSPCj=cV7F zU*mV+lwLW^dyA&SZS`^YE>5EX_^v3Hc5^Z^msnC$S%xmbZr4MuQ$Kk4tm9qaJ)F@I z86c0WLA!816rC+U$<|pN$W72^0T(+X>|k>B2(NxF*MG~+2> zPjw7mz|jjFKeBN@X?bqr=;I=7s#|$UH_G2si-3+!LLs$0wCoYAqtDx&8z?Sh%4By=y>1zwL z-7MNNRx8}=j6jev)`l5v|6FlW_+uwFT5;0V^dsMU5c~$4UG%*N82e0lUf%a6e=g2> zHs2c`bLJQCc$6HX4}^U{a)@}J#!Si46L<2i4ZVNE?p~$tCm2`!P8|M;lk>ovucurh z`Br+a@;ZL4Xc^0Z)?&!jdu(l3U7B7DjB1n1_dKF^yDwnR{pp;`X;0%hnqRUU8w0&F zKcw6JH$P;t`<)P%(s^gg_{0u@dWUjtY2J7 zf4U04ggI~*|HL;>pV_OkJgl=vIDa-VO1ag0S0x>f>V2h2y?QtH`GGz=KOgp!W#6s+ z`JL(GQTxAX)&5H@+P}3k{c_a)V5|0zv}ixtnT|y5KhUcEms_+Sn3*1k+W%Rr_Fr$& z{?N?y{Zae>(yILzTC~5gE4?#n|GHM~zty7s?ymIKsQquXYX5k{FEhH;yVBQ3?OxKP zoz=T$R=P8)cLnv%CbO@m{^V`1WUu}eoB?TfIcELmArA|YhYJr(md~3i58{9LEY5*7 znb~|EF|LO$ADy@R@}!;bg}X1;p1a9}Vvs)Gm-$M_ruNg7$CK6Zae`21(ATm2Phw6< z$>*Lub9VYScl(?sY<{S3_J}^skBRF)XLkBuo75lh{RbTwzQX$^;`F2Uor5et ze|DM#8i1p*|F^X)|Kbua^VEB+Nj>2tNejGiXm(nU+I_iIyT2^7yYOl0KSu5TwpF|L z7uxN9TKcu9-KSc$`*5LM{b}jnMeXis)oy>G-8FO4Ls7f5RlAQB+8v&g-W#4T zVlsh`DF5B;$h%qJE-Z~4pH~{GzngO9|GpDh;&&!XL+-!j8{Y1JYmIvwzu!rlD5f+J z&ZMavKc{jT@ppb_aV6FfRlgPxUt4?X zm(@KCqxU>FUi%)~we0+KGkB}d^L3F?d^uZ7sV?Ij>lr*hm2Y)9^};w~JR5scGBJ;F zM&CrP0Qpm2tn9wFNBemE7c8@QruqhlU)NTH&wo33IPk)3eVmQ?!DqTLKjg+-&X_va zI~vMA!c+WG11bDU3S=mS`7J~t;5-{UT%(VN|T#=en^C@1XrW68)9ibqhc zd41d0k0wRJD}}0lgUFp7tc@s zkg_`e$L@!YJX3$x&wFR2(EQM@=gd!EOPw?S)5li+r>C1_+@J9>9YEZ1{C^TtiE`X3 zctd0sl|-GpBds>t5~4c^;4F{r$T_%vE!~B<_d#U&{ZCR+_igsNms2beQ$E zsG$>TVJ#WYZwP*h_b)Y(s^I6dtmbt^btAv%tQI5W)q>8Y~o+a zx6|GTV+Xzz5BNQ;L%Y7VApP3Pse3^+@apaq_hUdG+h+p~?HTCaPRVK5FUa-z!l$SA zt54_{?~}dP(<*ltPXE+*0o=Q`d;NXOyVnaB7E97Ri}zQ4+T|a*_m;8m#$4;jwe5%L zH@sb2`@QuCmVa-((Ga|aGxn0za8J>`@{-e9_v(M{JSH(e{mN&|{lm1W%bS==Vm3;St@dVsq1T;oz~x znp|saJ)c4QLH|3*cuhE0KC*nvxW6IapPo1CkLOu`{LcD2qWeX+XYu3#@5^NPga5^w z0e?k0#`v41xPOMfnIG(;-2v{eG5qc?8GaAAJ3nmCJdW*GXFL6w$<9Ly)5&K|m7T}` zm(xkP`gw{sK3L1&&v?36X9dk2Q&^;((t^YN_m zJe4oz_p47GD06<>#Zm9#%ntXvEH<5iUNZhgf0$2Q>wooO;Xjni{_Hefb$w{Ote&zl6gI$v5_6Umrrxk{zTXx()%vsxk)}ly--ImO^IIk3v)P?CAfJHh%Yu6y3 z((B4Ccu~enR}sq#@AGu;mL9{_U}r|8XL~y%Tjga=_e;&E&pOYQXHu-&$=x!Q-rf&p z`)857R*`9FG$MJFtn0Vrk^R(>%!ZYtGeCi-mGgnVt_400=YJ>*=YNFbO3=}ibB+)m z-VXn6KNa@$e<=S9oa^k9?j>lkA9GCmLbe~{>uFCxdwlW-PJ;J7bmB|UiC1?f6E8-7 z&0gXMNnhl6;$4f>u|L0$v*_*qUwSNY2)H%da&nJ#L16f`Qzb@rHEqZUw z4a{5jDRbXPuvbG~PKAdcv&4QRvk(6CqV?_$Cf;*G?x)$Qhsjm)`b~G+n_Y?W6$bq} z$Hst1B#*VB3ytSw_oW9Uk9&nb_;%mWtFqjm+dE?k_x9$Jj|i}xJf zh4U>Q=SL%)3+ASHUDS~Ouvczpi+UYSdVlh^Z&b*$sFfG<0pIY*fin1x-T_`4TIBHk zS@%qPy5{GsWUto88jAcf7~L6Xc-ZLiuud|4-Kj`F9+LlJx}Wuwp0Q8BH+YT4^Sbnq z@`piCn5Y=QIfh64|j3o?@VX{2cAGzpG5B) z{hg1{%FgcDRlPWU&oiMtK13{IzvpQ`JPqyNA-&Ll13qY8PglH5OwrTeyxIaM=o(K) zhZDnx>>s#`b;e5OXY-N`#Ew<5W0C&ev+JW5r#CPkZ;>?!HrznTq()^j?2allF7*Ddr8Yp*{ z=B3PeUs*o#)aO0P?nj@=bH(UtNAQc&lHCVW^KziF`c`)?wN`#L{k!{aSZiINGoYRD z%~hr3_bYSnyh!ylKhE)UJ{fpg^>?*D=ZgNCwm<4we^*ES740-IEim}|Cg$<2yD+{R zY{Zeqxn#4#HNy`qV+r!77)e4x9&uK6F@XP4P$7 z$2{UQuRk=~34XO+C|`Wo_^3F3?4t&KR<<_&%t5z{g84kZ46c~#gZ<|KYiC1dP4_Zpe2%4#Ju@6pE_sFrH$Ycg z{{|glKCk=}>PT;!zE%7n=!t$mPvEKPcQ5U=-VXl9klF0aPeV62J;J=q?xIsom!K=_ z*hcA5`P8OUut)LN_Uy=x!@2u>n#A^OO*FI=9pv>_+5gr)u=M}X4QAI}eiXkWpFG10ZH?B% z`3x__FVN041FG;`h4Dd2X_EB*+NAtf5c+r1k zUw5MIh7VNdz2yJqV|i2a!uIWAt=f@HtP$=y`j{u{J%gKX=5drUwLU$;xPomN{AhFZ zF`dAd_X#%U6T@~pu*ErF@&5gpq50aYKO}iY9vPQhbmVjlAH?JXdC|A+*CR8d{NBv` zl&|?qucgo8*?oMJamtAu+u42fjn4SI&Yz91-91v@RZ7FV3+iewdq;nEb|1N}^jcXK zpR_puOXWJjk6fa6YX06#*7Fl%^rv|b@zI&miq4u)XV||pPVqANm|BbX&fYB?eYtVg;;6SJaXoZ}JG|zFPmmE z3oq7@FP+id315kK=LVVG;^k@!G-7_rKMyinU+QHRSs32}Uqx$QlT&PCX#ueX$*In( z_xZ_^AO7Xr6>;>!kkzRk_g~rWfxgS|3|16VbwU;c@ zpUE!K=Z?=zwkuvYDPB58|6c^gBjhU_#c!{8*{(0}xX>7qZN8hz zw#Tt#`>>BkG#g*KyNd1}y{94T{p5g1)}ISc)LP)F9&*VAhhz<$w32u1hVfWkc)AQ7 z)q&68{Rp*lxV)+H9=yGcweNt&-;|8#>`T6`e}^A^)jSUm`?_H-LhVFfea1IgZp)q! zpUCEo9GR^`kJ!A)jrhf~TC5=8);9V!!C8QTjFg)Cy-;di|93SI|$z zKG9EKrOz-&(NKCpIw~$VynFt9w{%n!Ia0hw{0kqO|5ptTQsr=5(Pn3s$&M`G+=z6*Q8HSezySDzT4T-xFW-<9EPARlLh{(Gp*Eq}iRfdMDHg=~DPddQ{(G zjV=Gv`e5$rgZVV>r3Lm(2C>iM^LFbF*u!;va`8gtO3J#etoc3gejQcspl&;O1;_Tg z#P7xYMz@YHrhUAIifoJBRiJUCuNLO@xA9#^($IlHS9bKdJzVi4`k>3vEpI=jmro0P)b65RP^3NH| zVe18OW_!SaKbGhDBj{<<(Zs<_NAKxL|Gb-Z1^gJVD{gx7%wD~_B#ay54_O&;_~VQk zx=?u0S*jT3zXRq^@X4=@+&V~O9ThFc<{IyJPgI~c_exFr?^37x|6~7u1GMZ{p%cl2^^&BdvPYgG5=j$Gq8n2pKp4{AOI>TgI_xLsT@CxVXp|7pc zz`by?AAWgmqV?_$yT97#48Lfd*o&O>LXY5Ig_x4zVuP2_&c@wPDxXQY@f*17?A(2A ziT%em>f8<;Lf^*o;MML?6VIqG8xNZL{-h%$Cx*L4{(Fi4?n$hE75M1umTFIuyNeS! z0*^D;ziZ^)XwGgQp0zjQ*&cQ@mh6ahqt}TUpAQ6?m)@UC9q=Yw_8jJ;`Kpa_u5Eqa ztY7qx*2C6sS3`cXepS{<9pyI-8fcUc$sz1UZ* zo6TkcgW(aKFTNLl2Hp(#R1AW1SR=Rlv+nen!LR$+G)4lv5BWKCGY9pVlbM)*%H0+p zGu|l^+tGb$&|ERI&W&z=Ry<)g;|nuV!<%?o>pIp1(q+RQC&I($80!rB-ryi^afjA; z`{t%My_5V3WFp8;9oeV-Ph`_-7bNSRKo4;CcF$EW-IP|6-=CpBd@Z~4IP1gf_PXyQ)IH$qvhUCsPcakVhp*h4Ai&}G zq>e^?Jg3c#C4au=;Sx>td2!rllkv5_7y z=M(4=+V}YOwWvKW`ZIX!oq}QBzWrb`d^CYe_iPHTqfx(Ki|`cqK{zr$#M3wQueNpH zR?m&b@I=M)T4`p2-{d9OCmF8oYteC;9w{PposoJJqD~q^B#T z4kt&_KgjAh-@QEr+u&`ZRGS96N2_*lGL5PEXzz>8k!Hj}e`){|N8Cf!8e$hHvSGa1U~<=!C`vpo$Mn7zg@m+oRb;gQMt!Y&>yBNrDHve%C8c?*ZMC$ ztl#2a{gzw@*q3Phe#Q1Z?$oDn=i>~#@AZ^$R|0pR{i@>N)EffF!Ws1fZ3aDUIz=1s zC;e;lk(@FgemlJ-AD>u8MY@ObLG+e#E|nYa_TkvKldbS^=g@zE_b1eg;r}uJwN{DY z+&c}N!yeA>(Z*;G?-|bbHr76I|KFk>;%T3lw*p*);8g2>wHfxmRbM#M`kvU=DaUgQ z($BmD{DFVl+Y$bn@WTjg?YYqbn>X9pyg~Tk31r)B-WL{6v3X~R*$9tS!N70oIe7Rj z+Sh!!;8g!1#&c#P{yZ|2a90oZR`-i%ykGY=#mdC{qIcM{3bGscr9t0`M1G-oW&!Zt zrM(62Be{(GNEAb447>AK@=LuQ$!~R2nlz~=Jd%g#-elJubr7Th&guQd|ystH-!n z<8T#tUUR4xaG<$`Ptv~o(YIcVjg#Lb`{vJtg)xKgs530$L9;#W($oI8d=y{_HmSbJ z|DH>oBfKw>KC30_a2K@wUV!fkOd2cU{tkV2&y^2{K1P3q@rMIVd9F2JFSh3(-&bLK zy6}6IduV3@ur0b1Tm4wh8+}yiPxA|9)!E5J-tQg2HoE*y*+%Y9OP(pa$S3y>-zNTM zura}|X#H>d&9W=lLHjMc;`L*|W6&XA0WRfg)UkQeYj=GGTd)%Rtd!pIeD3KP^u+_h zJ#8!&vogQdRxGC2uI_pC)3mE3yDzABM{?E$&KaBdy0b^{>8Jh#7?vj^l>(pEm!nH* zYrddwGsgP(S<~?5dl-|oQ%kw|GoFh!s$+Z^?&*S$L%e9(x%T976lCHLTJ#z0@U(q; zU$h$Hrvd(0_N2qWh3RMiTl3HyOn-q_{ZH_HKDror^6O=2^OM+C1$i2vu4q1vUad+# z*i*OP$d+&;Un=2VH0-KdzsQye9`9G^xxK4Q&(URJoZ%ohJhwa)$ql?SMQ-rLOm3(* zP9MGW!J5IzjW3fN;Wy6DjRoI4<*|ASW6{Tyu@<H9qM=A zwocvTerI}PBmXxszVyagesARWY-D*w`4;7BR$l6C?=ZfQaxcyH_H3A9dq;P)rJI%a z_52mKhw#8f$=%B|zfeBwSyp~OyXTVhICr`nU!F{qi4mSynM?rS z-MXvw#7g!kR#~jg?#{WZP;UKeEy6gx*n<$KQr^t&03T!7I3IQ6XpBGNnPgP7u{h@9 z#NwEWSJuH7@-11M7}H%d^W0rC1{*s5g{=4gg!f`yCs?rgI-{rjb@ioK=osVeZ1D^@ z4)r`Iv9@Y6D&F8Dczd5f_jdDtt^V`A7WRQ&LO-iI)ImTo6e*&I~<0w+}75TIJKn=T&_6`Oh1p-=XYWzK3boES8u**Mp6O z@8WluGB1m@SBTqaE_xSuBR{T_1?ZDPJM+X}CRwc^qEe${3)S>$MG zFhsmn4SOq1c;;v;oJ;9QJm+{PoGp+)*$mDWyfYAD0!5yPVc}U7 zelb|^X)-!{-uTh4z#IQw;|i9Du6EbzUjR=r_RbnHd%vn=PiqLtt6~Z!pTtURUJKoN zrZ?h&VIQ}!HsIFwO=Gzf51^Z^Jvuq)m%sycm9>LEzpkwZ`l}om#udMi{s-r@HGOt6 z_>kg((#)=m2h>LTgYm=z0cL13SMi=>lx6$X#QtSN#wfRVICE|WC-P@wvgUR60-WeK z{-c8nT{h@tsvUgWd^`;Q!g$&b$o9hiBgYiKG4Cm3#(N1v#0~Ky?^W!Om?QMHxPi&U zk-Xl@_(1eS$GKQJHvRjTq{A0_8)|Za&&E1tF!(!^?I#{7f8kAv>8pH4$5bj_-C{ZoMHi%$`zo&rqCT)!?weg?h# z7|!8$J*(pfCfxOBcz(mGbgplop!;)rqTDz?F(5j@7ZrTB8a$=54P&dwX;}$9R#P6y zbKncseG_Uk&hy?*{8!G@p2YVIxo?%7=$kFch~7i@5M$r_rsRc{@N#+I+Ev7@%du|LAt zT3hV{Uc=%0o|(R#9If|JF8F%1P9feVINwW|_)s6gO6*$kfMcZ)50EYi`j6+G3%pE} z7Fxd2K4e*a-$6f$!P#GvzC&Px2KG?b^30 z-5J5C^@!SZ&JMD9fx90-WphK>f=pgN0S;ENmiPqoUe)gItF6vvy~;RRR~vplvnqWn zW9WYTn2(D7^%c~~<-GTc|7NkLUUv5(#ry~Fjlp|bR}sH)^aA!?bc%8qr_h=h?HDmT zqcyNz8)#i1+>%qFVwcP zJx|loHdReQ^z(UYi!Kf02HL5eXcy@A)2BP$QckAUb~WZzg%&m7 zuR;r>K_~d3ooHgTICN<$*v>|a@6q?vy*HM=$c8 z^%1iH$dlf|DwtXu5%ktB; zR*7u$D&ZG+v^W2JbZTXWdtM7V(LZa|XB#m8F71e$x;^4% zZU9E`GFLcwNVWyMRM54d@1v0qzniwB;8pG9YrI^0x8?l1VRP>(#{P%BL)m2W@3hYA za=1KD@B^f?;W_8Ol^ZY&hTKFe177JL@Ezt29!G%J%7RXk-5I0)3$+jI*O1yniR%vg zxhW2%XQ9oys7+mC%BKLX|KV&eargMFOe1cUo4a_mzx%Lq*>k)J9z^$M^Q`%KhFqoN zj9um(+!e)*nQztmJqa<;UC7C3!Tx9dBkhdO+a-&vm7!IY^@8(>{4>cX<>SzTXNGg* z2hF$B!S^`xjox$3)e(+68)*I~Y)B~TwU!_DGqPzs(l6BT+CF37f{+`?GRGG>BhwXft z?S0Wkx^#3NF<-Tp-=Nq9cs=U%sqFzOm*g>U9ds;n++W_F8>igq-^Jm_m@&KaF6ET} zk89mon;P)GKFF@dQJ>AmdHAW1)5bVoh{m}_vN*3#HsVlb+wqaBA%=k*1YG2D?B$0b z7Zqg5;Cp9e&m~WOe+63D9<{lz5+3188{5kD-ZNj`M!D$-+KjOmmAm`j z>p=Avo+W+sS9b3`h|5)G{gkQ8{r&dNgC;n0ur>Igtw5hL^qGiorat3O?M?r*KJY@_ z(_Q;%l+CS+N6Ylx!+#%>szrL-ctbdrj)r&55AbW!HtfU6e~I$E#oLlCc>P7l)+l4- z?&CPp$W04*BJjES`GQyS8f0U@!(e5;PwC_<7r1p0`rLBra(Nv`N{@`LBlm7?GC9WC zt>debN#erx-s$>shIr~TCh=T*IC!(`9maF{~&A(6{=AF$$e9pYSI^EoR{y&~Oep6E&D!=MKXzqp&WYY8#GI}BS zICG?tiv}Ot-hlQ6`uJ#10QpOX`HpkZ^iFNv`ENR8HvO@-Q+$QGE)FGqqjH}gQuqE6 zdwa?|o#5Rcckja&nk)HG-38Q@JfowFbszS1wI>?dpO62j_L`4-PjHljHdK0~@|-_= zw3_VuSLuiNysP>A(pRfkqo@T2E$yBJLo~q zoYRHGyq^HCrVD?va*8gLJ{ULoX20m;joe#}_1lbfgXS04fiCcX(N=Y? zPxvzairX{S!KctZ;2b}GgmLq{@x6yOgtBy1r`y|WE@9;v?tyGQ-(EG|A#eJk_O`eLpBE&pY;|1EpEir+7zj>=d1-zt|L zQn~DobkH__YmB{&q2K7w`n&o4ZqIv*6Yd6g@~tzxy7ve9K6KR=I;P6E+H3vLQ{Y)( zO?Kj^tm{)gu*<#cPbPJauD%v|+Uw8n6`l)!-&GyW6@8Yg*V*Xj8_nvVvs6F6E5yzY z>wQuh$NOWWz;WbPX&;UM*J{7I0bix~&a~*6tsU@PEY~I~*P74xMY(W-k9$ikM-liw zsQ$4XVgBNgZ0&^I7!Eq}LF7d_uTfpiPd3DGQS<{>Ce3|;mC&%@3yk)AxFWn&fGaDH z;0=BdF`@bOy~yHQ#7o`}k6=AseEweePJZiqp<9dhvd43MRP7`FF}xh`cMqU<;=0&# z=MxwE)*TUk%n)xctpNAp6W_P)_Oi7ixLjX^85$XC^UVzJGH z*2=95u;=i#;Hk~Y>^=ScvHIJFtj!g@kYQ|nuhsVQ3(+lQ^L3qm z>1gDZnIEzNU9uWo679Js+Sh}REe0@eH}4v>cck4_qCAV&1YZF-#~H8M&bZid`|a}> z%wO2#^4Se0{O&rwu+{0_=$ahZH4%8pVtPvhce^(dG9$yK^r<~^T3Ke;fwoCeX@r=M$P$l|4i`aVoLqF^QWhE-`#`k z`9CCyo+ke2Ow{~vcJu(6FuG)dsp2m`&o9LfLLPP?-y(D zNiZyj2HH1#8L&tXsQv-s;JZLIqSzi5xn0S02Cim?ONIIvcGJY3ECS=i{u z_G0*N{h({qPs{PqN8&@HgK&XQ{c(S$&)Sn0qxQ=6UwuFKOA0T|#z*drp94l6HE zeX=H-w$F%G)Ak8%vOZbcP1|QgNAr3aw&x0MWtbk9KJDB&w!}p>CPb}{n`99-ZNiKu*LPAc*CScC(M>c`=Dz877 zi`x$i`iuU8FQE0l>_2<+*?hduz&;H811^-0tGhaUx%n_QXPzD88Fzu45=9yQXyX!>s>SSI+OB`>(lY0Ncf&T4>2e9d~yPZXy zgbjSt)6hxiYsGxoA3ogK+0a{W2+x?4J&W4^=kScV7N6Y^o`Hknvu)uSxG6rnhG)uI zRSY2LgIavgSJv`S8!ErPv8&m zh@1voXYUbtEV`RiIFDpRck^5Qp~ii`wU85SWzeK7*++LvE+3B0iBXmt!~1HgI}Sb$ z@~#oxyHh)|UAf$I1)s*s#%u2bpNmh8!RM-@xg3OduA**uXLrmq+Sg$pY(npyl7CT# z=kz@TKKp0z`a|$&d2--s9N+K~>>hZTsGT71NVe}Ad}I5RNA)q*2Oq!e%wFAzE1hEc zlHUP7<(vK6Y|d4{V_6wv|6FD8R#wKiPpS-_%F2M_36;T1SsC>FXO+Q2Ss8GSsSN&6 z*}neku@TX`FA6q7`mL!?h|Ms63;8U{3%sbD9P&v#?=;c7it$ge5t3hIGsydJw&uXE zgMVZrq|dYl6YTYlh&Mw_-^$d7R zFJ^at#Wt+~@1W;lTl>Nv9^S)s?2&XT`2r)yfn!mWKNH(d_HIUqyUy2o_vB*cDjDr;Mx=u`ZuHGc3nn7eGP);}Q!sk0~2v)Cy0 zQS0YjP0%UGNX_eH-Suj8f$t9R&K~W%ST0i8$&SxOvYdB6zYMp-VGkbrRxx|)e4#-P zTUFzV=IB1Ht$IuFrq63KUT%>3Y9}av58#=ohbh^qTmZG9E_V7W((8^tGdzrI9PVDX_Tcm&Fy{5Ww-w;HMtkv5 z-tXCRfIKsQkA5UmLoT20jOISH;}m(96WV{Z-;5)8>^JjZz2Vk7k<5hk&h@k0dS_ob z*eA3klua6I0e~zNqAo7c|U8RXpAd)#u|M>_?seclxZEL`w=Xk=p5HTqIJvu zSl3v8qQP|iMeCnw`|AksouxnO882uJI~{yw*I(@aG}Qytv;N9ae}0WH=>00$FMM7n zmu2q#1NT8L2ff|Voz4f#_u%_BbU8NF`6jg0omkWLGZ1oJkUPD9%*mbiw~#5x<3aip zKleWVIye6P#N>kAWBhS+_d)Vndv84mZ%nm+wnnDC){OFzHSZWk<(TR|2EmDMgKyS+ z&S76&ycA#!^Y6XYVCzyp0p85titwTF_klZ_iOnyriJ3v29E02+1Bl@=N6JI9lvvig|scSNX z-!pBW3!^?e&(bG#t=`*tV)54kAeEPiXEPX~cf7(9LgBd>8oTbl5 zXR1$pN__VyHaC>Nzp{=moW*g=-e<;dOz;s#XW~2ZyL&-nZJ_@NHvaMOjM$oRZTQx+ zC4Cc*hG$C(&#-r24bOTC&#-@gAD-bG=K92DJ`kSa7v`S9v!4skkfq!+c<Onj^Fy|B?cjy|;Tdw4dj?HE5S}4txo6Pkz2O-$r)Rl43(5PKyshiNX(bPq?Fu7zE|m>$2ldd-tS%gAaR;oqmH;d-tS%gG1hF<>~_`ekA`X2d?@m zbi&Z}wl~m=jvhxw!kVl?T(ymNla(kZuWqEwp2dldWTJ<;=q$(yc!Yb5C(QTv`pnw= z{ExqJVO(cb^Ez{c6J#;m@1(nca=zXo7w6NxZ=>XA<6BLPZ*u;l<$B_q)i-*X-Y7rK z`NfqGe^7mVK-oR34;wR`ocamMRq&Xvb`51aPfu1-ekR}=T!A~=Xsew_Wf;2Tq>_(JeK^{yh_HE(eB z(@t>qyZ__-4)x^M+JByDEmx5}R(H><_?27-!?oVECL1j}2w&JM%Y_h*M)_S)Zp+?iZ30c@51*tD zJx?AYH{RE6^wZ0`6v0WLZNM>Y&xYe#$Q=tfrVoqZoDIjmo_OwDaa;{C1@(Ov90&Yb zZU}pLh9~y#l*gmIO-;G~|FTo`l3H&;|xqCW(E#l~J#kWV;y8&O(GrQ}f z+5|tM)33^tmEdo}Dw(JnM6&wrQGE3H;%HWSv1#zw*P? zr~GoA-|Q`UxQII+&F;IvJ~F@T9(C*}3}|QYvQEUNHRpvO6NV3LiFgPaf=7$d z4@B|Lad<$sF+3X#cw=p(XVE(JmMU>ri;vQ;&iZmURd&8`*vFv6+lq~f=0#r8du5F$ zsH0~tZ$I*j<29Xd!J2A1T!gr`=4Zb}m%ulH7l_?e!uu8iKDxk%a$r0@27_JGoV)V) z2r)PO6y%b)Fzq%*^B(j(Io<`I^w1}CR!&1)pRp#&Ji8`p7vqcEl=)VlzFA8PHmm=_ z7WFwh;dAqI^szX(bcN;+(JdE0FVf_5XQK&g6+7zzj>(ZS*eu5H_@*iURRa%se1jWs z?Q~Hsi&eTi`zlTNMDP4jE{kAQK1p^jNjZPdoX!UyU(EYS@T0Y7`>77%1jwbyq4Xkp zAjb0o;f*!!IPxl9wwyKnZij!6vskXIPP^+X+aE^eq&ueaaCD9r9_D>WBV)@s=TAIO z?-%(#vBn=D)BijtnfM_xtoGtrqlI+qR*xTa;$VnJ!2{CI73#{z3U$R_Y8&EFt@=3{ z{Nd$Jj?Mq=@MCr`Cgmp?yBLoe47!83%XkOl%byqBiPr?#5U-!?l8@_RMaZ1#7sa?v zmc9SXo>pitdy|#ZwiSOuH|J*or*uVe&JT+(`lsgbg|kS~(Z2}~^bn7!%;4TQbbK)$ndm#d4s)1UT%v=;j&eF&bs?T*eIMYd1yRLKjk zj9;3{7KAfPy}$;)JA3WrK=efqU7%0xr`_w7i(W01Y24aRcdQ5g3v#vt+05R9;peLL zW4XyV#XdDoaqRp!(YrAUb6W;}OUT>%l*7?V-mw2>8%1v?VNEQ&eu3G(wBM*F@A7&cF%LZ84TTA2?P`mF|kRDChtEbGhF6U>2j)4>|v`J%pcH{)r0 z2WNAh4fNLCiw2MB0B0Y<9L0~^!FjjKw_^{OIzOaOqo3gS_9WCtb}j&~_Wmi0_x2>* zYtI>XV9}k9+`l2&a5fA+%+b6Fj)dbLyCmzTI z{*P?M(0PxXzWKrfleaB8Fxh`zT9q9nRxLQ~{@snhy%CzO^L`Mq!TPJg=LvUD5W4fx z&CFZ-mi1lUU)hCTU&orYz2PTS=lQu(Ug<% zSFq1Gz7QKN-V-huW6ihD>^%eT2_}OJKC8&ThVORaYjV!h@~oAw81pgk~R0IC$qlo`x3HS$|$3Gq6 z-|?CC*=2opeNgn0&I~zq@7Z2E#z(b_TyIp0QpLOp;9{v{v_*oN93;%a6O9ur%G9SbL zLJz;zFUBLlWirb={(ImX=wfBiX>Ta&2j2_N&P)GEytGiVybWG@C9zpA%lRC=)5NAu z-&@pcOGP(}$&S{#82F%bA{$BXHX8H9}{`b(pX580S(> zlQYq@POwenNlY1I(Ay<)Cm3V<)b`k>VQ&Mqj_m`7f=6^Snx*)kR!1=d_3OUQ6Gr*qL0?KIsJC{u#cWov$p(H>vJiS~~wVOAS}ZRLS4D zrFe3}JvxdTs?7eYJ~++#Vjk9)>U_!F)n)Z&a}OIZN)FkZZoFeRFDn+uMOIGP-ZFQ$ z*}k0iCAI$x4{3i)zKdd6S^iQly3x(q&U;inUY#un`AxI~2ZBv~Sw9|DjiEcjm$oi_K;tQ}gs~YXYu8?YP5-su zr8%o#aGl{m?e!nrD0YJUfje@isCymnY1Dl;S9yLIIpwbJhlh`! zNYZcO<1=@|UEnXl8}pas;MX;dbOkb|7-*oc;_1m;C*O8Hyeyc>m4Zj)58l9eI+OKs zpOv@47d;nph7!D5+XV?eEzi`?B7SQhT>X2#vvT+@jLltWcCP<8ZA$0=-ct2-C1Xr! z1AlAoQ(%P`#fSO$T$B&m?_)=07)x3O-*-c)Iq zTQjW%=C#;Ma!E}0Yy$4B_$>D|e3qYa&Qkm9*?I#XdwezXSm1TjWAJV8O(<8M%J?>X zlM5PtVSPE{Ea%wT0`&w*2nh(C}?^UtJqKI{LC?B)juh`bqUl z)QfPL2$zzjhZ|>-L;wGm??e2rwt-&~n_~K`$o4~vISfURf`B;k| z#m9m^8LV3GXkD=_8To+L6QNvr0Qne;ZfX`(l|nR{>gKxZZhf*{CfkRb?ys2~Uv z1VIqQ2!fypf}#k5;P+m8t#j|mZD&67`hEZUeqZ;r=j{F7k87{J*V^msv+vGGPuw)K<9k@a!v%+8TjuP(^?Jo+wtCO z{dXpLpZ1sw_&3sgrYQ98j%5Cw;~3%v>|OK)Y@pznm$O5)tQ{xw{BhVX1^s1SgQ$`< z2+~D*u0Iar9A~9qT=99~#rSq|6w0P=PP%;51sjyotJAO^Liy-j_9*0|bH<}MAB`dG zJ$U%b<9^$<*M@NlT?4y^>&G1NIqKQ+m+{xnE?pZ%_4)ZdYx zeJt1aZ_Awd|D(*ACiy};w0xmm^zL}THcm6OQEUlK&q<`C(8frU9)t}~b|%))Mzyue zkSVm4-e+fH{s_ppi3YOIXx&fuIp!Jge@o^k^qXCby@UUKncDU_*ifwzj zQ`3tvtL=^*cK&8b7-K-jC4M`BwTeGWoCW#u8-pGzVyUk@F~V-I8Q{X;4q#&7=l zx57uLAE_PYztbLzb(5G#%vIK7Uf2GyCjUf}f0D_6n8`ogrMVYnEZb-`8S#Tg(m-5CV#2P?=|_in*3**{C_q1 z&olWiH2E(v`7by5uQK_sG5N1E`EM}!Z#MaFGx_f{`FETA_nG_;n*5KL{EwOZPn!JC zu>a;+KkckN_>*P#Oevr1-;uJ+GwJ+}=WqIDIZma)b!LKg zR7S%2UC))o<_&T9ljb7$^RCp>fQ@}r8+NNPL$hE?J|E9I?#t6VQWnt0h44>bJn zOv^IHFD71-bgBE3a}G(U?{u_y2PY+H`j1FRxahDqU-}{YyT>cPov7A6JSl6+F4;CM}JoTRT z>%Mv8Y|TH_ktO|+xjdozf$h`oIkZ#U*pDZ)nX@4j<^}RK(EnoQY?wJGUU%vc!P554J z$D#=dJU$zje}mB)v*DxV|MKKTy>!IAJYI)yN;q3xI`Y%8pDq`EKX%jHPqK2?eP{GT z$M4Ha^Zmu1QkCWMxx8CF#a@-;EZw4#)~n3oGMCCMFDX-*SwPviSFBen5tD;^RVFap ze7DEvDsXIa=DUWv)`? z1OZ!J+V9v@?svGh=et}5K1YdjdvQs5iKEc%*%piqso+0GmU&%1U%A(%3X9$D;?m6u zg!p%m#{=RhEBRCBo}rR)C(T{0Qk`eJO6Q(I$(KDD{5M3rnVP-*mV&Mll@pwj32R62rJrvsEMnqNc@?enRmmDyn2YPEV* zvPz>z;>u)|o|%msf$7OAX>}@Yau20FLa#p8hq^({DA`&-fH!Cqihi*Xjg-L5xXR4KHE7z!WdSt9oXQpJUmFv>e z)&JzA<)o+lQT@;F*JUK-q^-%whCeGMJ0)xVnzSqeIf)sklbe~AnWEiwt24=6pP0U0 z2Y~pTtTpKrmbETj2PLPhPRvNAknA<5smL@2=h||oyV$=&rMpTu`-@aEMxM*>@~V|I?$^8Ao_va>JPq?ym|8|I^!o7Q%5t~g=kR+RkV4n~6zD9$YPX?vUdNxAC;QhNtkzXp0KJ21 ziJ&vQ#hPeOxgX@CQYak%{&i7OTxzU3BQYxjeZSO^y~79n6l|^24J}n(y2P4kiiBNX)=pzg8C z>sMpZ{){!rDbRTtr-L188^Xq_v8SFobMB%AzA+Gng~2C6R9dnYb(QJ#V+@z7u@D#| zC0eJ(oQhKR%TGB&5@LYPq@pQmzx3u>_xBt1ftu1{f4Xa{%dJ)ymx{-^JrJ_q<5swn z%DtF-*T{4jLWpi7DF5GFb%J7cn5kt-0`zc#kmq8s7#+4iKNqSj8vdo2vx#JnH{DQo zS<4EY2@> zl|o(u^l}DMd$|tEknVDBaU^nl(7y|7Na^+QjX+xS;7c|0I-B2 zQqN4zN?ex?!nDnslaeVBVn~~UB_b<@jO0<_T$Dt>?nbm+x(MzZ_%|F5jknuFv^XZjU4MT(sHs*f#hYX@OqNHF3VuLPNE}7wPVg0m5Cz^ zUS&JhWlO%$h-|z`1&dmjfq|Zgm$GCXrXSfkYcj$314Yp*P+G=1hTO_J8-%BZ4$#r#?t62kw=E<>UHTkX_@J1q#H=$^thKdGDpgWOuUn3 z=)O1N=%t8WKpl`F%$}MJnq}+LvXjh|9@>G8oluL?p2?F$ph-iAmqVqnV|{^pXpVJUy;;h+cjf6@qn?4Rez`9&Z7R z3U-5&vbK51T-KHrtj)2s{8Unm*EFm+%}-YgREgS>=~N|Hftru^vjwrSu?X3w3jM0g zSFDOlRbiQgBdDlMl^}?;qSA_vxZ%TVDJ-p})Mr?2!mHhM+)J^Blte2+3Z{rkPCQd3 zu2xu}3cfXJZM4+LuHPDA?)eoB80nX)HJMng(pI&mMUnbZWEU%K ze<+&Em6jz%bEwi{fMrNbzKW(dWPnEFQK@JQVv#I6ThX9X)L+yiSg=axG>RrcMH8MP z^{Hr*q2{Gg30aD!FUp}O1qHECQ1XiOIab3m6_$L`z_t~MNDT!}s+#FZR;x)Y6{$L^ z6-#W{DXUgfJCYRXMwGl(X)U8jvw@SMAoS84i@a{X)(na?Bi8ev$`q+Bm5QutEj_aI zGoX`bkxm2U-6Wh|xG0V~k^0ebs&bWX(3kRT!7%WZ8}_)P#8m<_-r?NpEOyg!g(~%o zULOj^1eSjsJ`dI%ybfB{rS)1@0p$ur`}9kD$f}Jj4XM$=2Q0`~AM!c3VhsVSM6z}R z``=WDue^*b_5!^gffZtUzjnIyijtBQVOo7272()cL<>&lQn)2pvywGu$*KtpFd~q_ z;leT$$%oIVgAd5iNMNQL*0a;$q57NZ-`BL!xN749vjSbuQ| z)_i0sBA6*(zwlEq*20P3wB+OUxE)FB=VMLZp-VAp##9qnHbP8EvELV@idI_6yciN* z{|=$e$VY{Q#sx_L$MRiFz0q_}8Sz<4@q0X2=PAX5LcoC$?A^RWFNX%&0?uNAOxEd$5R~D^XAmJ$ z`r$ySoDhp5NQaJthV{)YbE9tw=k<-?ML1Ivb3sKlZ$ z=;9t_fzsVTA}4Et)Yp0t$#O2qAW`U}aRwRUZ#Sb-7_G)KvdcRk0t7O#676zx4V0To z(Mw@^R8Uc6l-S|Lu*cdhEys;wpeb!2u9O!0^6~oaqb%F!>QTy7@K{3~dhHowWot35 z*;3a35M_*6W8u08i*n=0>`#ue-TCpRyaYRYkM(Pc}xA!W#!&{ zQhUK5qdN?Cfw~f>KR9NLr6Kei#LY;BaaW4|8&y()UfsuXsH~PypD`U^K|am%#ifXY z2#LUJF@bLNyS9%ihz84k0Wz4BNp$fVk1qudr$g7|FTy&#&kq@N5X-1=tjz}4h9O<- zKR|As*Xi?N?nd7rqtk%}e8^D-wfEoFhCbBf6Z^1YjI0>t&cNU{L=5OzabFk13H=JB-9;Ht)kO)u*@Y|<(k7c zp(8L4%GZMZq60GkhB0aD5bP-MKo*HS43zw$K+9;98#4vup};)#nCqaaj%3#SUBt*2 z8fR{S*{D+6lv6nznNBR8F9@-k4+zx>|Hqd);eaJ`V2UHtk?6>9q&Up)KOq@TIA9T} z#+N3o2hV_rcpdUlEF?eRfr|)yj3V7aD?5%1{_N%3zl48N1SedN$%ZC?nFaG^791dN zAm{{zx2BWjt67>Je#!KOZKZtV!k4yDmp09iJEOd06WZq~bQquBeWTI===VvgD3~@Y zpy5LjA0REQY5C~eSLk(sw8X0aI<5X>6UXc97t|Z z11$3tK=S$9sY5Sb?$cgz!2E&EFFQa|TFcx≪MWBxnAP17^T$9Cb*5XconE zvWP;`qk(woGm58gxQ-EUd~1qSN;~qN-s=G*fgVQ3b1gsY>>$D7CSMi z>palIW-bQOCOb>YXntlQa*CjSiahR7iJ5ZU&XAJLB^v%f$%do`M9@ePbTO5{Xd?#x zH;HHB9p=AG$`jQ}e52H}mBID@rk2FbOwnj{L!-u#9Wrc)F&HuQ`b>m{riu$hV%pA^UBkQAk?gprQfGkwRa)BcxB@pwrqB@Qmttim_Dh4U5_ z;+r5=A@C9_N}M7kMn+^ZUTLw-Mdy;36zEp!JtAauY4pL6?4JE&n1VIs{vZibS~j-E z95@e^;>e;QF0}+``(N67+F0e7U9uU2V|KZIVw=SASesMjo7HF?u^Q&JLwE@$)0cUS zMh69(T6U64>4c*gsQF~XjB41Z7`+Y1h5a1*qBbMXN?5t0YT=d{rHyVgji!?dO#^^u zA_(woGVzN`%UuN|2lGo7srjq1ETK~PMS7hNd=1Ds)vrU~CT`u#yNyoYHn+%2F{Us_ zCVlqRSCYr)*BcEP@;)X<3awgkehg2!PTv;l)B948fRqWgJ!zwQsa|hO$>OhsYIKwt zX(@srdVNdP%mpX$ZUluzS9nRN6bdHA5-j-NBXe1lN{t;qRt$6!d0aCW$Ie?Ei-lZ- zV;Hd1@~|MCiFE|yRbnZImg&+Hykq7<^sm>L9cYAysHstTKso;Vc$=6c)az?nYaA#k z-k9@?puuR%59MWzz*KT+hR%SFlK@^jlBVpJh?b!6s{fx8>4g%oBd{aOFg{pi%XU!E zMH)}{)jVU=@%N6eP(tJHr}45;+LuT)6_C})H0Qpjg4YCik955a-Wli4+s20$ZrV?V;A64 ziD|)?R!RyzZnTEP-VHO4Oofm<3zyP{y8YLG|EtW4mYSA8^}zaXs>COR;KC`$+VWr3 zb@EaSi~UxUomfx)Z?Z20Z%nJE!3EO;Fer=$tthI(sa2HUPSw z!l>8bP`_uU~lw5LMpZORH;B~2n}WXG;WjMC|+ z8XsX6o}@p*7?LdAzX)Bat22@H8wP9zh*_Q=Bqcf9&R4cfSt zJ>!+tK2cd56P4;YLPbu&VP@S&DO=xE6`4B?E>3XXcZ{;e9;+;w$0~c{bQL{*ma=T0 zrBr;ZvNXji)qAS4Y=~F(ws@sBBq&Q!f>KQ@lx1**imF+qES;;AD*L^%kKjk>8~&v1 zMS1uE*|})`c}g{0q9S%yE9>mb@!OcIm9-3~Ty@=~>^pB(s`Ykdt-+5(aZ0Df|FBYf zyOd?;bND;eFRF;CufTm>+3asB)%TvV*S@c;jUT9pp%0Z>^0~6_`5bxoDtp-%%G&;= zQX9WlWAJMu)%laM7K|v{o?n&9`AtPlwpdivSc^S+oWxt1J`Kvn&zg*IDdU>ny7Be=OG4T#Fj-vRL9=7PY}^iHP=FRC>83 zB6qt*xzDj!6LwnEoXagylWQ!h^$yGUn%x$)_kPQm_6IF0bH|T9tdJHL`Z6RpoYC?USFes-CZ`*2aBS)&8|L zs(Q$({NG#04*h6VO|_h0vkaeLQ|%|)EZryD)SN_{ zt!RZ!^{ug4GuPTw)tNTC;}3}6Xp3mhw?*&SY_nAq+tiXWnO;-I^U*ZFSJ<_E=1i`Hp}>nZ7S{(TlC1KHd}4AO-0w* ztj&M7sg4F)MC{Er<+#;miM`bpvEeqGeS8x}@&l;n0b5kZgSN5$f7(>tv$lw?F1X#c zaUCz&l)u*&mHfI*4ZLNGPUyF(g!gUMq4#ak@dGwh^qI}J{KjT$`vvt{?6$Zu zcGWiq3^>wm-+rWBwL0wf_+#xVcDmhGb-Z15&$rvgFR@z(m)N6Qm)ccPygjlx-mbPM z*)4TRIQ-}Lc1z>$?W!xoZri)oZb`r&?QK|Zx7M9uw^wX{2p8JN+0U|DW}Jnx&ay`} zl-Mn8C3fq+Qv3MYa=T?uxjkac~B+VJxE;WFOBhc z?zKBfT>L$AjVFtXb9Oa8OkA8-tTE1W(Jsyh&@NPzc8?O5bSTw3P28i!Jw{xIxW|e+ zUEJS^J44)=;zG6Iim5nG+}YydZ+zp5sW?I06UD_DAh=>G=88K{-1*`{MdFI7z;Efb z`}{$~=@_+m5xeo?uF$Sd6n=y`5avLb17Qw?IS}SRm;+%BggFrAK$rtz4um-n=0KPO zVGe{j5avLb17Qw?IS}SRm;+%BggFrAK$rtz4um-n=0KPOVGe{j5avLb17Qw?IS}SR zm;+%BggFrAK$rtz4um-n=0KPOVGe{j5avLb17Qw?IS}SRm;+%BggFrAK$rtz4*WmJ zf#GrdJ9Eo;cE^buBkm#MP7!ySxW|e+Q{3aloh$AFaZeKW6mfIK^@zJw+;hY|PuvD^ z9~JjqaX%LKD{+4o_cw8E6Sy5w;vOdMOmP>9d$PEvio0CgWO08lZicv7;+`RHuDDKd z3&lN4+){D9;%*c79C809?)lhqxas1aDXvr8VsZa0?%CpAAns-2?h^MVaht_`NZbx_pBML4ao-bnP~0JL ze-SrQ&T*J1?i6uniMv4DrQ)WDn=bBp?FQSOE8&IWmWb;W_Z)H07xxlzuNJpX+?&KT z(%&h#Mcg)VpAgqLkK(^`gY*twK;y!p=ti`$}9T@!tt>zZvh7tc*^}{?Dgh5gN6IOriy)jZ|UgB(m<@! z?4#w|R^GNbdG*R(T~t4D%4!RRZq81&>`N zXmgooo618iOtaTj;@OJ4UKes)H7(L*vv@ zOVqKasN)jV+!bn3k~+n%>Ml48MfT|AUHVy5d6-hR6=|!~rtH;;>FKJ-Q|kA6+&SC* zs?@I9&Zi9B=S5JqJrG7KN2{wXlFza56ySQ|VddO1hDR8MrEoDx>-{mb;Pg%U>ZkKuvWsSUOLC(5I>Dl`nJ!`MG zSX0&c*0t(ltFpSBUazankhtwbBCzITQ&Zlx>ZS}JcK9J`MCTinX7Cw$w!B15*>^1pw+gwJ+oZf&n_abE z!;SpRDvcbm>PDVt(~YdMm8t7&x_P^iy5e0bt@{aG%e~aRhRcby?H5E?T&2!UZdZZ& z66r?nrWEb>p;miIiL2DF25q`q)R4^snXI&zBkU5pT@8FjC5{YGdkWNUduf4dyJ|&5 z?N=1hzE4;9Ej^omw%d!rMo;dFu&atYsYPwC635&=mlIO%DODX2 zUa!ZioE+Nbl68!dhgTF_bBo4NL}L7h-iI{B3eJCXXQ^8l=W_;vK6Zr zxQsq2V*p9_JWlk`ApJ73yo5W}r_PT;Z`LU^hKmc12jzl2uc*F^G0YLsop{Za;U}&Cw)at;pNmM|taSqgTJv0g%#we?g zy7;;=evFOV#;6$QR+rbg86|4@=H~a?HaUGR5t0vV`D)lM;2#k#)g4jj_G~LJErzOp zKcWaaJ)g!RQ~ybX7O9&fOV!0uo-#e2{t;EC2BZF5?sTiGqP^<5XiQuFVxPY_U%eac zS5;#`f@&Ru<~>A2H$6?ysyj)SygYWTdTlHk@-#K1^Pd#6?^$9(s`?6X-yyE=0Sc{u zO6LNDz_+y-^!IJ+8ZqVR^7D5q9QcZ|c#A*$ydBxrqv66|?KC;JDI zp@8R6K+iZsBfUNj-J~8ES6-_6k)iG}O4{}~Jx5?{P==q!740Y}EJmlCJHEKIO#3bx z521L9M56*K0@PkX-C2KWP>I}+6tyiFpEgz>caLZF@$h(3AI~ASc`vno@7MIK`<|Z7 zzuIlZ1?rRWdZ2wVp8M_F@uV7F9g|alv)`i7zTHGrPdC-y+-cN9B?s_a1GIut?%2MqJsBfVP2kyqKVKs#H-Gg8Qcwm$4Py+`cSP!Nb4bgpnIMNwnNFN%f`c0`ys~ThQDqSX8N`2W+Z56BK|Zzq4|c6Q4^d61?pu>zIqhX zwA%&auhq60S)UqH43(qa9_#iv3uN4C3Hx+xsS6g+&ttVcxoezP?HlJ)O_RuI^Lr@H zwUwsjrzWAh4FP>_k~S>SbeDP=WORN_oi+3^^|hEy&mW@YsOJ#a7d;fa=QVn^JxkA) zJ@l;mjxCDU50M@iJVZ0|%R{t9F?5I_Uq2n9?TU)Ym?t0CrTmkgwU5!W{ox33?2*Z9 zRmWs>b--+DolIuaGsrWHbeN%4@8qDtG>GtqZzzAmCnl;Z4%Jj&cqnLmg<_jur{|ES zx?fY>DO6VA4FLgF2%AQ;M$q zjGkSeN5GtT=`fn8-#$!_%J&art@6oXr1%;S(@p;Zxd(L9t6!#kgT3@@#?!Egu05P> zq8ks_YVg*>jRxO!IQn#ilD9meIUcZydJoq&(OXE+-l?g1kDj$}&~p!1Ocu` za}?40JUxe>qq4r4LYB*WT*h80V;D&r&_Qeyop(ggCfaobn)MWAZ-1YjRd`Yz4;`VY zeiYG-A5cUeo>cNvM-Z!fj$q6km&`2Q+Q}5u#uBp(?hCzDLTDrzvH}GgO7P ziLN`6n|dT9=t+v}|DK-JztVHxciJXuKhjXMPaX+D2--vs9!Uze3wa07FUb27J!^Fx zdmp4a4AuJUk)&EHk22dt!$%gYOO8TaI&bYel(*}h2(gJ;kyhJ8yN@E9=#iriY!mG} z)TDL4KQv!eA1=~!@8K@B=kTDi{qFD(W&88tTD%^dQmX!Ogs9hhk0?_kM`)Yqwj;gj zog;%b(Kko>RsB(96Lo>;)<=lkfp&UUJV1)#!>Mc4r&GaPC@VBdE0Xp{i3xc3nud3; zX&A&hSC`J!00v>;JP-j30jl^67v&5}WAJX+fLlDJ0mV3#pN!-$mAe zY3LU9+%(ugpCQ4>!@6WmK@I$51N}D5P_Y*rZP-AU9*vRrDy40JN9?uO6*c z!7s>Ir*(Iu*4_I+1gg+BP~$OL`0qT%5dM~9plN;~`UbUxk7x<+?xv6~Eyzu8lD|cZ z_VC*%ifo`yk6~H<>KIMOcgHXtKclo7Ewa@p0YXrqZgg-do86;}!r|8BX>A6Qg>-E5I9yV;Cj~rqHeJR(9e?Xx_kVzER zp=<7l2--l89E&mWIK;xRfjSV-q2;p|Y(dY#s`lv*+8!x6BNrgjtLRVca90zKp!5XCG=c}o&fK1h>$+wC{x!Q z8?b>|kM*hxrjN3L{yyEWo}R94pf5n~9tZ)Z8i*YUW6g}U>Y5oCP9#Cv2Dyzap@%g7WoYsS5f^`|BXlirMyZ}R zkgGy3kL}YWI5$)1&$CSQoqHUJ5c)1UPUyP~>%BuT67mXMg-*QhXUf{t4YNZ68fWtg>YcOE&v~@8nManc?u8Z5d@?qtMiYi!3a^g_;?J*m$B%M>355|;&{(Cmv<9P%VNwcHzKb0*RjY~ zb=4$1JNshr9PUBtC=sI{X1hvV-pxDIFSFh1*5gSoQ2IZQ*9PGe$NOBH)w9Q!m!Thx zLSICowO1U3f*LPB2-Zo>39t*VqDtB?q0sJ&DfBjk);~&>jyyd{sR+GvpsqPVzlt=R zVCdrJ6R0Aedhi54UXj?}euB1$jz6p1=T}dnoX&q}HnbBPDt4hXn=a+o6H1(ZZ}E0j zc_L@LucI7mo=aPM-BQ56DAC&# zUH5)WF#7WoG2s*ljUsIHuY8B*<<<90c> zVC6;qV-6PV^_$Esb2LqN%u&|-EqcxQ(m8koxCa<-1?q>(4?E^`AhWr2wv3Yfx_1*RgEsV{tYU)wA}5+f^&&_X&xp`%!|GA z(EH_O?qYnkfGIey*r(n?&hD2r$=_2REJA5|&ztY_drI`k(ygtUuOf?Fc&YC@(XBq4 z<56$V)oaaa_dG20=c%vem8;9=WAb}b^R<8fhP^a@RKt2HF(d~AMZGm&i^R_e>g*$0 zx^_{I)V>mB^vLD0H1XiOiBHwW`qXu?&=mAqdv2^=X>W*yLG%;}s!O%SmY0Df)rGL$ zuc@^9T9jke&FT-9^8w;}s<6DO_BD>Dc$(%mIo;0Ee3u%DCBbD*EP#k#57l5RDW>&3 zH5gl}sup;?CBDt75s@RePCy|Yc!GWOb>@i$K6+Vy7I95gB(?)D(D?1SfYQ~Ue~`r( zwVzUo*GRngo=52_FQVt3N{n-3@%_?;G}f+Mi2i*?Yk>3VIdlP%jA6NdXMw1j4;SbO z_^SmF-TWf;+X6iiU$C%D?ON#5`d3Rv(?U`QYWG5n2~gRJqHDT{zPb*2Rz6Q!kcRBV zi}YsYHVN~C!a zE0Oya$^@12&nYR(psxcpalwh^nmDIw zip%%#qU4itdO&r>xzt;67;R3!+8bA-evK;=)AE{=e5~H;Pr@fNSE*0kd{Vh;Jqb-I zDJf8w#Q9a%Ns!l0qJOxHp8ehQta~BSvcI8z)L(~6{ya|#MvH%^*>Finw~{W zL_W*yeT&5+YFk{WUSC{Xie)^%8dzLj1|qQ#hg`$&QLdqLiD%sn(2jO+%THfz^3=Y? z!n1sjtFRCfc``r;DA*5mq{lf9~P z2_{va`uh?Z;y!i#64uK%Ex{PSnw=Y2fW$F_|R}5&4slHg^%VTAE z;VIz2CDitwY7*RrA@c9Nn*7bXAnbN&`pu{4Zf!b+2+J>WmSR5IeM*tjhsq!en_UH} z6=k&#(a7w4gzCY!R=w&vcnWjt%Ts7}(lgm3r{Ej+5YqR)NsS+<&||+y)h)$zEH&P+ z6z#c*2&uS%p0zj9v#)`O;_tQ(EtPJ5bg6XnQ%k)r`q29v^0w5{tlC^b^KfzLW=;OL zOSM|~aVfp~sK%u*m^>bLo_cvHtbpH;Y4A?!wLM)#Ro#cwo7LTYJ(*8*iBh@Lkqo_Pl>^mzmdP=8}irwOk-A8 zaK*ARl!>9eOosL{jLY|lz^ad^N9ud@Ko$GVr19#uCj zD^PEufSL>GO`%UKxqdP)teofEz5Hw! z&qb}v!Dc@-RSRj;a(sV90rhWVq(wT_zGeEW1GnJkWqN19Wy|T+SJQa&a-Zs14w3O; zq(Y28MAn*XNe?$ZNY92V0v6g039y><1e_2s)9y^b@O+7gtm-rd=8Fk>5WJc|_JV3j zC{=GJ&;WOdBwf7Br9NF=t_G2}`NA>CTl)ktviD1R?tPq|O>M%|>k~;AP@=ZmD5B;S z2war2e7mOp;zXH}u1G8_E_J$T2T8eK{XLNwe^a8djY6Q<5SFPZsoVpdD;3Dep{-3C!UEh;-aQX4sbF+GI1uK)l8QEf?nb$&AVbR~&L!wsZMd#|Qv zR|P#Aeg!8Ybm_a3H+!80uxygu_-NtwsYj9nW27T_tH)iAS^622)uiR8qf={~Pl=N{ ze?^KGp$k(m?(W3EwUfEjos2Ct%#5FsX&X;6}rW#hVaJ3_{Y7ddr^$0O+=tB~nd~LzMxl%Xty_GTveY6s@0D@fV z$(7*v=g8WH549LLZgs&b{U)q4)ULvi*P5~OHF{5LZKmg78$DaTqi4X zrk-9!Rj3zMZF6GV%PXrepwKa1_4q1?#2YBCww5w9f4~zF%oIaoNvT#kRSG}0( zQy-=3_sx-1+NO418VG+GqkDFuTD}6GL#Z5E_sC6B{$y=guckFr3cAdalA+$5u~Jpe zO2@#UpsQ!CF5XU_YiDI38ToFUwMN}LD-+YWZ=JD(^z^K?>YZ6x>fz(E)jP-K5W6Yq z$Z_kP>hjrn>cQDg)pFvd@?v*Ez*2wa#C&z<`~vk-tV`Xwpim7j+U!!dE-q5dCl{;g zQvwTm^{1erOH0&MrhW;?GOzkJ0Ru7FuWn8$S3@aV)pe_Q zuUS>vcD#dOH=KH#Hg_q7?Mk)SQ&??nw&e`k_S$MK751D~>@bXvZ?sO$t+e)8Yp~C- z!qR|UhC@i#W~s3ZSo{N)88dR{%&4+fTMHZ`_9-1!N3V4-(%pH8yZNw6%f^PNm=1eF z)0ntMYn83q(iq)0vDVT(vBo+yZrIXgX-7Gg3*0TXK}*&6I%}t8XNz^nI%FHN?X^@| zhp4%NS55V|SvsbbIR>qb5d)S%YnQd(+GK6CcG^blJ+|J6 zE`&8%YOOWa9&59`*3xU|kQU1xOSiQ)qQcf--)G$uQE6+l3|dC){tjCg_CU5+yDju@ z*s@pO6&8x#u%X+Mlb#-rD{jt=sZ*!UnKK8scHzN43Yjw_E+;-dXUUv7adF9U$?x6g;o403D6)v^CpmtsN27k+qQ>_Ued1TZ3)L-eQd#9@}bd zitZm%5m9Ryu=bD1t+7>FI&DqXo`|Y3t@cJ+Q&h9Hdh8y1jkUtoHl{7QCZaJ4oo3r( z>xyWJXpNYH|5Z`wQFMEytueBDM@*w-D6-1l7Sn9+pV&KTD0;()wboK+8@BC<=(jYF z8HwmezxjL6g08574Ly;wTPBQH1}1ck>p!R|VxPU*I%27gsF+Y0)oty!RYf%)+GXzm z14hR7PVO65Vd*`j<=|#ZL9e9_L=M_2qN?pRwhmjJy^;8Uf3ZtOtTdkY9o!k!WT}X% ziuQNg8X{sUCOc+VMs!S$=|c_sBARXc?CsW$NiEUC)&?7fLe!AO@2%-{kwC{^( zjc%~DP3RjF8%xF3Kx`T9U~@qWYs6ZNv6z6kBhF zYu#tv7ZKBBZH0{Owe&?+*n92$)^-fNm=;^>nCj@ku`LlT)}E*)dqZ@st;g0d217fl z543k-Ah+83tkn@c5qrnh9##qFRe-NGk&Tf5O!=Sh~l@)I~uWBXjmd4_o~HE_+2pwXMZA0_oTjxp5%M(PZh3 zn9^o#oDesq8eIr-?d`U1dtX$ytv7N{RC~mTwSGc}r4@2tOL7fytFict3TDLDS*8@^ zY>2J5Bo{21osf_oKO1T#vI3b0Y+aDNdP|GF3Oi=_n(I(%B6dXdU4jR$#e)6SjF$_Z zQ_DD2aMKNp*9xw|?nSzC1t-&XC0v^Y*FDVm&w}@0FBDzp2=2kQE4nTaytAG06@pu_ z6^gFw1=D5@x^5TThJDy{Jt%l8c3IKYDY%O^bm8g|T;Ij`9l`yyEdKMj< z6ujhjj7yFDGa3I?u={w%R|wvCBI5?Z>2n$H7CdJ@<95M~ag3i8Ty`?!e+lk9jd8!= z{$-5uu}+UCM*`z-1ve!!{!Q?lI~b3f>XtVtlCJ*hd&U1dnfLe7xYUF2;)lH@wU^ zL2z3PcB0|R5L`E#ajszZLdL~{=fpGKDOjDxxK{8K?7^q&KEZqo67hN!JVra ze=fKvgYmC|XJbDs+bS2E5PTyX*8Ji!Hf z7<-KP0mgq5yc7Ft>8cT2{Wary!Gqs1zD;n#&y4RCyzf`W?SkDFY$?O_jNqx*#Y|U^ z;GQVPZwaRDj&uzOPCl6Nmx70|LyE3p17iycUC}d`e^arIfv&>@$K%sDUB?OTaWGyg zI00YR=*keBiFJOu{vfy$>w9!<7F>%JC%Vc7*PYJzJi)nzj4u@&Q^L4T@IX1^+XT+ zV?0yvjN2J6GVZi#wCKM-pBZ_f-4?mTrGI^LyUI`p8N>o zM#1U-WZWV+{z=A<2~K^A@pFQEIvKwvcup7N4+RfC$M_q;aovp7ERn|^#^VI{y~22k z;5n}`o?)balkp}fXizGf%;!hErDmYQn$4L6sg4@pJ{C^~DQ7SzV4_t1+ne<~ZTss6; zzNMkMNbtzVjIS2F^LoZN3U(aJ`F9KMNM-zp;E_U3|GeN@A`DkAZlb5|Pa3NC1osv& z{!DO>;f@2oJgKMtf;kP+{nc&X57_SywbPMBL!Li4|gR4~V zKB=!laQx{Ue}!N*pYff7yZ7kqip(&guX6+A7X-JjfCm?uITY_$#TY+<(|F`{PXCMG z_%j)g#Q>%B&8KmCGJ^;goWyvR;GGK@9sseR z(|Ab+$K!Lo#=S=~#_GPt$$#haRtxUFhVdT-Hm!?swuZ#o%7fpkN3(jEt z55eiAC~(oVMDbIzIle=1XEn!@ny2{OGZ?=sxK8^23&CASa{iwM4;;aGBGeS+k6y?5 z4;S43Ka7tR+_Z`DiGl~FbN=OmJ4w;uN)x;EBa!i;3=nayjO6}n@rCI zf(Jfiyi0J;M~s^V4~u?yOz`B3Ii7Yy5kLA4Dq7Nnu z?%&7pGXz&fa(O2S-hMyFCkb{xz&J;6ub1&A!5e3C{yz)u7I{8T@IIPoa9txf;c&*c z39eeh_yNIfnT($kT)CFIN?F z48a5I8E+9BC-V6>!9${-=#v=LH#vvX-y}Hs3a;-y!7(zwJuWzQDyM%@@OGM*alIqB zLF8{xa8(wU_pRVm7vo<9J8BspJcj9M+Q`@;*e~s!C%AJv*B5WZ`xvJRE-GTYPVk2=OD?T()`2)hQ$%3neo>_v6r2kJAJV)^9f~WkI>B$w`vXOC-;P_39w+rs_ zFuqK1t@O`zf;S4jQ?T33>G3s9(>o&Z&j}uo_%{V7lyG|bRI2;8fHA)GYdl+U)Og07 zf)5isEO?gS92e(5S+GO;J5_LtljGM3ZkO@o5?m#CyWklzel8ZgL2$j`nsd0kI|bJY zzaADmBK+(UoFL=*4Z%x0cC_D(PPr?2z`nCpcI1&!>Vr1P=?|DCMb%Oka(Z7cF>1 zlf?H&KB?xv%e1?%<^hvJZ0_opB3(gez{fpqZZOp%m4J`U#m*5`3 zw+r4W`hoTb5WlC0exTingd0Wv-xj=2=>1A?R&khbisa+-vxsEWqd6Y94GRWEqJ5g zGQkNVzvl_=75@KSaI~av5?m+zct~)U(9>mL;SYAzYxA z_6y!1>pwdMD~Z3rNKY>=xGoc1BzTwL2C45h!gxn5ll7&$1=oz@{0~d|9!dYC;0me# zCBgfo{`Um;3I1Ggk*vRApNDRLi{$^+$S>uO!2%ocr%3Wo5*#b(rwZkPqNUoqYyc;{_k3a+h!W4`C{ey-pdIFpF3Y9sy* zPJg}NJ-2iEX2Cg+bNYt_M_zGNs%jx zKBws&k@0Y?;G#y(-za#>5a)kLaAptZe@gJ2^O=9$g13(oehTi#p;&Z%Ah^AguNfaBIPM`%e}dqmA+B$s;BK5sLe~nx={IwGas+R0 zWLzk??pDTI1?S$z_+r5h(f`*9?w9iJ65MnPr+-xN@I8!Q6g(vJ%d3LZab_M}?+Bi9 zH`D*A;6c%U-w3YU!{yNde>C3Q7jycFf~#;+6kSsUCtt+n&k)>M#r&HuxPCU{Qv_Gi zhXP#5f?KX;yhd=1jGr?Et8X~JQ}A{=a0=HJ!I>+Wp0foze&YCx1n*7b`0E5WpU(Im z!SPEu{XYdKzr*!CEx5OtQ( zu)U7sD+EuK`S3Eq&Hv!|>jdw-kn!z;_w_NpSMU_sAM&W+88|kKuIB|e-o^Fz39iR^ zjdXn=c;}DIkFN!1ihTYmxM_srCmhNAt)LG{xDFRQ@-yRO4J`6IS8(NT9KS?x!jDXU zvf$cZ7-tIZ5&Q3d1Xtb1`CWo17jXJg!BdMEpCdTN#`f{Wg8QUB*9gv)`T91&dk^RQ z_ZjI&m|sr_j=6*JOM;g?&*|S5TtAojGbp&Gn(;S+XI#(tSHTTY+@A4AF+Vqc!sSmE z9Q^^8KTYtQBu;;V;M$EGzgTe2HpZ(2&(39>DR^%l<39?{T*>8~C3s0T$8Qr{Bm6vH zaGCVS<${&iL)Qwf{}<=KRj`9j(!zDG;2xP@9uu7Vi||u$>d%bd5#0I>=l@)=L-f)2 zf*YnYKP^+4f0^HLdnO3>%lqmvg16I$Ok5`luESAXbe$wP4##-WwM_6n*`Jjv*l`e- zpDnm|4C6e(*qg5Nml)}P$_ZVv&_$Rf@d7c?Yl*Ad@HBFTX3JW zuS4)o*`M-?;MgBH|NDYlzGM8Y;Akt$hkY9JuTSjjLj*U@d}Px&$v=>Q7+>v1-G2d_y)l>s~I;7t}bQ#h~UY; zXZ*C_ISUx~2u?ne@dtu?W&hJxf|uYoqI8W2?iYJ13L8dfzOF0b_$h+>H#0t7uv*Ue zWWi16FkT^egXr&c!ELuQf7bz{cpf~czc2**L-2Va_^J?mQwY941V0mkUkSnQh2Sqj z@JI+Acg$$|4-UbHhu~vE@T?F#F9a_R!OKE$N(fF5!Py}=Hw5R0;Il$-SqR<{f-6FB zRS3Q!1n&yLH-_NG5ZoMsTSIVr2!1*QKOcf$4Z&}R;15Ia=OOsp5Ihos?T*poVL}K# zGz3oz!M_W^^crvvZX7$U=oN#^f(LNpoL-!Vi+xDAAI44FZ~uv#w%tC8`!U?K#6xEL z6S$wm{SQgAlpN}6F8wW2l)+cuB82D0kS^607wd@TZDX5c=I)<4-_(#}gf+ZwC zGh-9k91x(KVSspsX8I*Wek2&IG|;HcEdv7 zAe7Dm3IIBx&;Ws!qB8x9#o}N>isJ)G&8g|+JTum3gP8;H%W@nSBq7YYQKfJYA5}Ig zl|BV%REU|AAkcLFl_cX|%nG32^6{@ZB_QNjED5E~3${`teN3P!ntwxU3NSa4a*S$Y zAOHu%bGK3cU=X1V&1PP~tl^Ox&dL_)%gAy{Ta^u_! zqh$Q9)l4k?(omm!DDi~N@%SZV;KXN1Vjk?|PfIo!MJQyj(yt}?2xZCb4<4Rogy5&X zd{A^CfR0=fKtENdlc0l;PK_Fc_{?Yu(g%$h9@Zcf#0n(z_%TXH2as_(@^Lyo?jMol z;YjiYBRA;kwD@@UX&dLq3gh{2}$h2laLzoR5kOu@Xg94%y2niS^fe=GK1p-X` zLfB~SL;?DEJ#PCbMTNNi^%MfBZvqX|z|=0n)LmLjNn%sGDB9et05;N7-az3Rmxy#ue#cgpHO_1dNhP;Qi$ifoAgoP)nw^9t4nh zXvq+4B0M05LI5QVv@#%85*ZXC6f~M}L4mBH;zAirHUmL9vW^=bYB2;81Pz8@n3>aN za{(!WgDL-xan zylgq|H!nMI-fv#EoJo@xIGrYMJ-@fF#~*al;+hwFn(qMu%C;J0pHVOuk zQdI#!gU|?|19qhx^2#}ydHQfaBaNKCn>YG&AN*}Q9MdWXd@+y=+7=8%m{+)91Ik&s zSoy;G79WMgemcF3eaN9tC}d^eIqL> z`5p`kI)D`6fkSii_&h@MX);^9JXpC*_S3we54S~;bf7Jm1PbXC+dTZSEIMY8 zQwsaTH;Y}&@35Pm?>9kpmX=HN-Fcn9P=|5ixiQtoCHDZ$K&l(0eK!C{j|Ju9muo~b0 zf2190(Nd8_rGX-vsDvb{qbNtaqkY=irIHp}C>oN{kQVLZ6wy)?rBqTBIf)cL((k^X zamx3f@9(-k|NX9C*Cp?JKKFXB`+0i3;n6^4D$K!I0n*sPh9th*4t5AsDijkqAS)s= z;0ZysHz>idy2l!^N5rF%2LVE}L>EbA|T zRuUXIZmR$qnt&2SMuWxX4Q7UGen2uL971DG6`&bFpr9$j z%HTf)T9lCnwj2l+2b0J?A-JMw3c+P0c>*j~s2*S)!~{f_25{EjSfC&}EbIv{#lSyd z%vdlsz~*r8&_YO|c%Dcm2I+~=3kwV@VZffiIK+WEk&v@kFAQ75ivin7^2T8}NvPa| z`;KEeVp(t>F$sk5Cp@#ztpxMK(-^NT&cWZoF{(ffv(N%Nn4r|h4u#}|ongTHD2acXYNnnCifQNqXK;uxvyiGgyWox+X9nj#UOaV*LIj|B}y zEHIz`kHvx}0d#vXGZN5_Ao{Gc3rYZ{L1BgcKw)8d z4(>RGG8@_k>UyLC;7QD)#*?V=iKn0>!|8<%Kr43&-mkkSPT4b_s&jPFSnVlfByxcs zU;q%T2lXeAP6;GyD_f*n0#Nq8kaI!Tf14%lp1x!l%mG%wZ7Wa-q_BZwtw07k^o8^y z%LlYT%bM*x~L&{Sbmg#NBQ2%*9- zcQ9WOOOxD?TM)PisGo@(C6bpL3GVMgD`;*0M;6`#ZV!X=0-lOAVc5vX6#w{_3$iz#bF^UwUn)mOK0+nI|tO#(I z0AQ10TX5jrV0E+)L}B0t6RK*E4*|d`ASq`uaGBwfke!_o7aE)^*b91ZYD<1Dej;{3lXQ0?iRc)_#PHA1A*j+lb|C9iW?ApaLQom&|>%-?j8^Oy}#|2;QGQOb|0D0i+y5%6QH~0pZ3HeZ)49d;G zKlo!uVBHhChKT@>3;q{B%vInolF=V$vNif@bBltlKS&T{E95?E(0YfDi>J2I{G872 z)XAJJX%1-?or_mvoBPIA7*bGT=Jt5pp33~Hv(t&`kQvK-U|Hbl$k(;8`Z1es{@e2J z^?NtoYuT$}!)L6Px{cMcY(({?FJ(e@r$Zi9x%T7jC#O7=0s=*P(b^`=zj}Pkg#Bq*3YR8FqM%*Hsd1&l!i7I3+U57` z&@nPP8EUR|!>rNr*CnmzO;I)c22vA+jvUl#NtFT1M?b5NKeal*T62@fr}N2>uCS05 z_0H?5nlr=z&*)6Cf|wwdBXUdsOnk4F6zEgclhPiq-ONXw8svQFKDUDUPLJC0X^+k? zdx@nl=PeW0`F}~c_JLb)oa;0M($(%}S81I-Rc^ zeYoXA&&pQL6GD%A=kMi+-_o3H{va3=bL)P`kYtwsH@nU`iDbp^F_oTK7Zp`=R!8(3 zTu!s{u1idB>JHc^X>?)h>1{hNh^UP;2=(eq7SiqN))vfCvy!TKrm82}1d3?aQ-|>h*UTy5N>j#nB~}h*4K^((%%$+dGRU|RaUO4YD)?lvB;|F z60A=D-IdAVvHE@j%Xrk!6YJgNYqd^xuF(4u{(RV6CA9PVy!Ls$4M{!}N?a;|W>@7V z`eOO2UzzGE>r&_Q6}KOvN!?N3BwR|08kQ+m<9sLfmh+yTOlGBSr|y^P8%8JfJ0{qR zWUn5OpDHpx#cai|yi0(h>fL)|XNj%fpq07Y_`czk28(w~;q zI$b$%y;Nnik#kVc3$+O6+?u(AV>tKZHz3 z;Z3PvQRP#wsm-fS~jXL)Jot9!v&kvG-)m3w_-&X=4q`n*BP!)RZ^RKh@oSmUD~ z#=ZkREfM4KQa)2hX9Bv*yClrAY9ycV60<*E`A2z&VQ^t&La?f2^&xp%p59x1_g9qc zjni+x@%ZbiT9vgb!S}c2U)7j)<%^18yF!k3*S3f-n-AL={OCos^R-qV?=?&MOKqBX zZr(WitF+;XRN(BMRwez-NXtKbteL+;r)G1lbIv;@}4~JL!$c2X2vGa<& zq`TB^HnBaN;iVXAHFa&~O|PGLL)E$CF+PzidD%z%BI5amCAQWTDm@HnPyFy~M_Izp zdr8x$Y2#g+emqDaL6G{umP4@8&q+QOwcwUCnEnH2eO6j2Q zmnd-&hp;S8KL^nCNnB9y36`hwN^?A zucYs@rTH#Pg?oEbPoFO*@CwGQ3@_o1cL;G9l(_vhz<%ws(xxZe#tFn|!-PD_QLiM^ zoY)%9Q^u!5Jo)?G#WK14Zb|=iNqJD<(WlOP(DPGB_>|6d?UaArKWNJ$|>r6%=K$|FKo?y z#pk}~EuGKZeNTh`qq~FOJ74j#U!z~|$m*+nT*aNo`FU29N;R5UmgaanvE$Rmz~sK) z+s!TI{I@V&bmQkNHuI>gH#3-%3K?~#Gv!+4-=eC$vpSk3X7j>K+M)373?Vgz+DNc* zJ+XWPjjZ>0Ktklw)u`qm+f~nwki4aeNBDs1u7;3O{DfIvM025PRyG=R^4KAxbG>fdB*jD? z!&Rqa*HcDI&eHPiBj5Y%JItjhk@U$sFfzos)>MxiAV{2y)ts{1m-sAW{iUON*Qqir z-QfeJtTi4Mx)&x48VI^~(|AXv>el4s^3IIjPxCR5`OtYHar@N`&DNT2wa0qCZ%V(p zmg@(H-?X8QLfb|EufMqz`Hdy+%3E*ixw5^|Q$YCa2Kt2%bNek}+lk-v?~4v=-8n=& zYW|Nio9bI9|FYvLlD1-p`RIbGM_YU6Q#*_;0(aCYt+QSkHC7tNB~iOm+P?1XA&UpK zS4O%LvfUri)|DSpy3Efq5FTohRG&n9t1!r1Omyy1pG?orM2`)OrX5pAKWFK!%E!Aamjp*dZ=u5ZbOUmh(}(T zn`UW*+4<(}gh`bS*&>3@gYIBwub?0D%Ir6o;vN`i>8pR8f880wHk$S^`k6by_}sbU z^z@`{cP(n0_SZ^<&TOp4?$MrrSlmL-wu6Pzg%@%F_RuL--;T8xDD^8_s;H{8z@P-u?69##>4UeHP86Gz*& za=Gm0r$L$-a|g>kHvNp!OUh3?QxTJN;jx-&v&2@RH$QmgiXA($)3qcY>*-!{-gt$t zRrO%O*tuac8=Kq`*ZrzCI*krS4=J)mlgrGCh{ez6a=DlzLnhjz>d&NO zMIqPC&{=0mm7fY4dSOXf5>a1^o}U@jaca@5F%mPq?s@+6y1XD}x{Gksps4gN<5XI= z5%*Yo(|XsIChRa^^$ZsU+4Gu^r@|4QE)(iR%wZ+#uRo?2{DUeOkuhpNTX5 zDlWpqXR4N;7$_L-@l@ge#QkaQyYjWFgKQIx&$bhi+g^L;j!3UgDPP}|8@Ahm)5x@? zC|YDB*5TjUm;bH3eODzHTi#Ztniu)6w8qn@;;jJSYQ>#~G{S(&@?J7zauiVm4pfBeJLpp{9t zj27vWsNK)}VE(}^ztzbHc3dwEdP5&{kG6|>!MR~m#$GuIzxJBAIlYXAb?lMun{kxjUfM;x(@QohL<;=5!^Fi0rcxhwj zn#%4pY$ p1G1-%FITi$o_|PZ`|5FFwae)_W|EdP(!{Nx+#K%9FbXQ+e*h_D0hRy& diff --git a/epyt/libraries/mac/libepanet2_2.dylib b/epyt/libraries/mac/libepanet2_2.dylib deleted file mode 100644 index de774bc5c97f438ea2aadd83c0f0fda43fde5497..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 413856 zcmeFa3!I%*dGG)3Y(n-BVu&FI2+1VIm_5W85ot(~GGV|3P*G43A%qD29V&tdo=TB6 zI$nliPnlzSsDHKOf-=Egu*V)Vr=&tt55Z~$yr7;_ok;@S6R&7(XWPul`Tm}@*1Ok! z_xtXd1lx1||Ig&}+1az#yDraq?$5I>@7I3$qyKe$l9Uqu9n0qgK5w3$Bp)?8Y??k`j{wlsd=5GHsZoKxU8*ga-oPVLCW|BPY0eaZi^uM>>?S8ADxUX6Kei@&W zGUeUxe%Gd3dsp3X{afGmu1z<-?besS^t#*lk-P#-iVrl-2>^J8|9!%q=}B#w;}iAu zt{+WLz7NyXPCYjHqZcR1Ov+xTcKo};e_qD(KjrgsE6xA!ngz!un{pm4piJZJf8J{s z|Ld36Ec=6>^<6vG(f#-8YcU@;$LFDxo@aj>E{|V$%xOF``1#g9>4UTQs4qZCroC4T zS4vjB=azSC_WE3Q+by@g?VT?@&!d1^Ny3z@pD`HVy~tpf|E+oJ-$MU;bI-BKVj+3z z-xLO>FffIIDGW?uUZ}7kGyw3f8 zo&P;Lv%6j`CG{`Thx*&PXXCE%+t1qxECUahH-77IpI|EO9Pa_9GBA{jVK_xF==qX2 z4FTuPwfPM=hbezSl5Ei!suSS+FU(E91Dt>Ee+M`}tGV<1clmCHaqUiEYlRU!4Kwdg zej@>A-SxNgZFsxT!wpQpX1G&%LiuYnCVzKcnA8nE{;oWIp2IcutJ50wRetBR$kyGZp>+zdgHgBzw>ZU z$?uaYaKV9;Ya|gyok}ZO91bN*Df9^*nxRUSE+rOG@ zX_D7HqW`hz5J!KtfnT?5?djY#*t2mLe0Q_-$NHI$r}caZ{XCLWr*fRDqj?CPjxT-S z$(?-*$Kd(9YVec6xb~z0eV4v^UVULnvYb3H49|>~lYweU^0fKVkyXjiw8fjB+_xa9 z_b{Jp$IczNbY*GF$g1w4eG9}#8^)|J`qg)ZK12I!k+o}2NCsX-{j?rGJgB3(9528 zGIFkQ9%h^@oqK0B)A^U7j_};|1}C%dL(oS?2k^TIyf0Z?8h8u%wK+0=;GMx7zA&CZ zzgYW-C;lk$Jb}IlG!;*X9|A9Y?IooxHtzrr`gE_CJC%#?Mv)EKHLDl#N9fD=`D%MSHc?CTb+KynCex|mOZcEMeBS$A-|x;{3@UF`WD&+Uts;L&6mm-m58#ZPixZRIz9Y988X9mj~$7H|k8~bJ7 z*e(0Uj@dW%%f6SrU}z`xtMEqk>FMt8?@S-6A*053=-Zly)5^NgV~;lG-rMQsj;%Ve zhHSR9QCUZRn+qkUj2-Nq>D=nM0~e!Phna_-{li!ABap=`-$+S+BaAdeU2YfM4_xD_b`~Hujdw?rhGJoKO z{H?j1{Ri&*&;FzPe%^qq)49y!T{Mv2;m2ywKc6QjvRxO#d(uy_?RpVoeC6*lwyTJz zq*s7D^(!Nu-+R2HyL`{B_$#W{@$?6tETJp*bzpO_r{!exf7*}S{OyX;7PFo3`7m;5 zb${aO?v9_KtL$0bJ^QabYxX@OJUmC31H960+kiiX`MAwb3g&wvxB|SYI|BT7XP*JD zJp=wb+rgaiJGP;lklmsE;7WAbhW^=ypSK@BK^j3&d>|hkIJSu%D8XTmCb6Dai^&(Th=I>8_K#GW!#eL>Md-P zb%e4djWVt|JyCi}bKySK6A$w(*&4@ zqtK>ha4^D{hk+rUeAYz_!{ZG7I`r$ZQ+#WVizqk#qOXsC zA=4K=Rtl4^uN;E$3Ule+Wc}1DqZg#G)gnJ(8aN**PkZ27hdo|>9~!SEhmggq_!fRd z=Ih2UZSXWFz(oDq-pU+=TVl3g7Xv;FZpwd&O))z2_oV531n@|A__6ByubUX2Zvl_x zW}rc3TO&s9k8%*`raJSnyiS-;N?+to^O0Fvqen+5rJ02`6E-vpJN6&7>Uq!Z^Pw{kXPDXaN(gyZr;sI=|`H3f#2ENke zVw@T_t&%k7=c+Gu{)y&m{W6|xo^n&fE>B91{+{;2vC94ne~ZVtZ~t`Vl>$HTY)Jmo z7kK{9hY!ye58lh)&GhKmd6>MwTrwuk7VlP$%J^OjeU>({%?OIWrs$9cl>9H-y)i2>Z;ybvvo4CPNZ*NE}h9-67mzj{7AAz`5*ZM#@F8dv(AFv z!LNP_dl>8Dlfmii%|pjMZ}XG*-k(ss*Lg*wZDo2gM}7Smdzststb%@7+p&Jg{~RO%8}~!kKTD{m3%@h zXHE3z>u9CNWy#RUa@JqgB}2p4P9IQSIbOH8LwH-|)+>guEe+hp@7iU+JRO)jlX_*I z%SEg|mRv-q&qX}(vX)%L@N(8~)@>d#9rkj z@0u|%LS4f_SNUeGhoy8AUT&l8(TKh(d&Jcn3^Z5Sykm^!@Pn+c!E zco5uZ&8Y_Nkm>p`ZAYNP$DT}#pNYfMb*F>$aat*C5;+ULq%1|HAnBfNfv&jjtzp+J*Vx8>BF{rTf+hI7Gl&7ojz59V=`MI19pm;9P$pkJwNpGB^g68fWOOwB z@y;$6SIB0~Y_?gI4VFKu)89~>MdSASaSivHt8ALajci)w_Z#CL1AK;W zVAbE^`@{TgdKSJ+_gawe9$pGg&jqKf=hl|8cVq1bo|NrHM%?cY`QMUPJ^yq68@WxO zEi@Ttor3i|zIk5c$J8!KhW<);JJ;h}a&f(ri@|xRTs(NuwvJZ0z`m8%u5FSFjk{g_ z@hrKZdtAT&SidC?r+1G-?|NxYx5@}^=ej|+c zdN=;B>$m7}rXT-}jqy``=3zCNQeBUS6`}1W*Vpp!`<>tyJ}Z6I=`zu3u^+e8)d~~u zhBF>1t!aH`xjgl?_JS7P;vH=#+Bl=F&r zfloi5!+Xl)#-7KXk+S8+w(VK8YioJYA?2$E`xd%2H810XW&hjD_+a0u)Y&jr=^!uD zbLuWzqw?}T*tfvi7Rk5rIIo>XUTn|RyDDp(zJupXr*17@eW;SWchS!BhOz1erJ+H- zD;KPFy7vo>yqKO>*aN3JOz}kd<7?>C+Dm5FHFWXdDJ~axdKlAk84aDX_k45;a&7BK zn_k|cQ`Bck^1c{*nbYrrFm8Z*ZE5I4UuLqj0bW+y%Nw>secH1t{If`h2Y9FZK7@nh zf@J(~$<1%D@5(XLSLmO?zN^NP)01)N+?e}4t#khw&$lsV&|6#kPClf55_HeDzAFwr z_9E@Ypx;^OBI&iWlX1mPgFOpuAHZPGmAiKKT&1-&i^pom1bS)R@XB3prS6Wt(i8tu z(%SL@_~FWQ-$*T`?OP57eH!RJd^R#WHyPhre#;@jaX)aBy02M8>|<~kk6}A^_IzSj z9PcGvPVb8Lf(?Isj$r*3G2d4DF`R*yzX&)J4%a5*e-?gguF}cEp`N`a8NWY%CY>Cf zT?l+UvpjCd56*Akc<*AzUmy4FZI1UhY=+~X8x|$iO^d|a@(bkiq~&Kd$~7OYb!sj) zFYzjU1s~hWGW!_YGXA>w_uGW;I zFZ?OfB`VY2v94wEBjDRd8#EilPm&%&hoXn5C!DP;4ZS#q^ZI1`g)y8ta&>A{zl41% ziDx8Nk|X@jE!+ zi@(1f_q{0@|62HseKDJCxT5VllkvU&*@Ut~JeJE3l$-3>-j$>02mJR2KXjFbw#RU_ z!AFo!;UlHbnv(g{0Vf0W^&jK@+VTC|f_YMI^PG#0=wqIJ4ZaUBSXov_cz%DE=BIV8 zHGX{;TBh<6`a(|neHjz? z=;7fr{NL!^;nk9vjbpPv%>E?bZe)ei$HU7T?a9kHTeY;&&&V0Rth3SI$ZB7h0_xQff?(zK#y2l4+mB>F%QXkDOpbOF3NdHM=2-QoNs(B z`$5aL-Y0)?J)htsJ`NDWd=BxE&sU+b-o;HEt9OGZC-Aw3Pk)6rd_TzNZ~1(K&rkUz z7=u^yxr)zw`J8~$dJUg3gzj+PH2lR5&IC+L{YCbe@7ke#xRdl56$frDpNj8+|At+! z5mVaVOZc07TJR}rs}p=b_H>09k{DC^tWu&L@ul=v$z8tCB&4**KKm+_r(4m zJf8CKo~xamD7D%N#qpv+zuNZUugV^4z4!et9$kM4z9Vrq^n384M;5pEj*1I*?)l?p z-{oZD62*}v_!3<#e7wWMHoDrw@D%Wc+(S+uitB;pSz9X(`G|sg3FFv!@@f2d;#GZK z^KUpV{#8?~qJ zy|ekMe`2VAa%=rOddb$RuhPk$F5lktI{^=Yhln>VmJ760F26srA1KB`dMDs24?m1I zp5PZ7-$rt>jlKdO#QY=QZm*YvBHj`&SbrBZ=%YD&v`wFb6ZBcy)QXq)w&`!LkA(_h zB>z$L%y5GI=FQMBfEN#fwkN=}hpMw+NS9;<|WKg)~3|8SBCLFIw4;RS1#@nIs(97brtlalb zAfw7D2Aw4zyoe7c!hN#D>(iSX`c$yJk53a!8U1$~&*jgCI_yz@M=Xb@U(J3B`2!K3 zyqz|AG^uRDKag)vEE4P3Yp7o+KR37X%q3Zv(VuaD%Ilgw>1fEb#b)<3*E=t#p0%6h z+Lh2lsUDAXk#e}g$##4It-0RFzKSGytI@X_`kd1kJFCmI=gP*JS6oMHQZX#4&WqrX zFOr>Sb}ZatTO*Mls2uLr@>Rt1&gX3Q%P-_?>a^4^R}S~{e6E5?YGM@p@$ebr@AuL1 zRz45&Iix`-yAD5H4u6H;r{aHa=2KoO8jD+Er7z3Pd%a&`&*8i38n?ed@OARH$Yii8K31%YoDKRmR)<*j_)uqUBZiLq zU9Wzrr@r(NpI`L>x35ky@CfmztPQb^; zv0>uZk@>{3M+^7E-($8lyR z?4_w#UHOMey)w(iIeW?Xrt8s9q<7aGG8l?>dFqNFWBE~g2vKs;rfexe%^h4-pua-<~Ni1U3ACHPjr=z zyQ^!Z$Hf=WWt<^#G%vsfan{bhPno}@oPpq#><7H1I7{nwnQmx#j=!JwL*AjVpR`_= z#Y)7(F1O9R{*K(X!3s?+-wloXDQnh27m*ui)7M(u(NUZd_LTnz@NROJ%~ebG&Vi4xEkTB~)+{}GecYxD zpPl3RjPuFqnVvbXY>lU-yP)YPu%Vag+9ML-E)he(dRf-rzmZy5{YE zphv)y#(Q_%$E>7&;{;>&#`Wi9#)Lk(V|uz);Ter-x(?d3$<0PB+QTzfvr3s&bPLps-+ z!oM)l9WssIT}eIc$LM(3?>*U-Z2eilUse|=ub%c(O1L}2?{`8^NY@?aTksBV)Ly5? z9t_iOJouk{y79}kZ{qWOe#++t8jkUKn9o)|5Au<28^3)zx$)-vS1dQ)=WQywNU?=% zm1J3RJaTPfcGqN@z2T$aPx7VnxW9M{dmO=|^tFC}`bu>7Oy|FkBDXeY`7l2Il~3C* z-_!f}+PBEx^ry4o_V>^N;e)o){dw(sLwo9^?OD?Z?S;?Och)%c6Y9w?(jGhEQy-$2 zOUG}&fSAaiO)4v1n88`BRvg{ew{XnPATx*UtPNbAXzd5Q>28RyCob$GU|x1V#GU@U zcbR?9*bwda+)-XQw*FN1Kf^~mSTA5b&ei>WS9dMXWY5#SXUWec*Bi{m~OpXc@YxbG9)Ykk543)LsM)_pr^ zpSM;9=2I>^uCwh14`-xC;0=QbooDUglUdXgkA(B>>Z3wgph1HU>o_Ck{K7ac+$Vmc z{bcq=n#`f&MUxO0njaz>c|4{%Q}xzRkG{o^f+IJEENc(aOn9OZLvAO2+yOt_2QB4$ z+Fm2R}X>9qB$Kx7R4dnuFy9V-_DQPbORsdd6sWH5Ii*K}!`u=2qJwRi|Lz0(cxNBf( zQh(n9ColV#vL>T?rP9DQWbi-44((^-O)K4do^$AFK>q zK{;~v)8swpTbv%xFXf-GugK$SoV<|1G>17ec4ba6&SaCVF7s@XVdTu_iVUw6Y{;5q z*y=KuAjc!f`Wl`SPuF!nk-^WLUrJdMtU#ky~kVaO3J*x9Q5#2Egx`-&j+|Q`L3|miQl>2 z>%NqyBx|hA?%ebLHm_SQ^L)0<#oD&#M*FVVe{;~srdnH9Kgk?o^6)o%wbH-YbCQlD zUK8&UQ;T<-e&nDpf{v)c<62ji zj+-c!{Q|Lrtu4R4v2P05HyM&2(N0$k(pLKV63)X_biO8*YajRCt2*G<9GQjVa zx;3u@U^?~$=Ap+=VZR^s zl9R!Wuirs^o&BiX(fzT?vv+*m+8~GItgOu*wXxsW3~-UW$CdA<-2E1wsb6yCUkLR} zz8v3LV}CA`cldJrT$O(|l+W?y^IZ9-Lpgq|^*_s%-y6zjQ7)WFM}zbACxx7j!$a*{ zzc+*Z2|mPN2BMuz4`}{Pvv-YuZ;GiPlMmzzBbu%5P4Ob znbcJ|GH19>R(5^D@ag*qZKrWo?d`xTJ>u)%EV%v$a$|eXfax^k^dP>T`l@z_SAn1M z+S&eZ^?7#l8G_(Pa^B_1PW#hoW{{qdAsDJGl)V!B9{MmT!Un-jW!p7YDgMHB4&-8OYwvlI5 zOb&hO(kXc`2470PepNIRJk#^x83rEdl_k()3wN*C{ws~^={Ff368{)4Mq>%D34CGr z_2t^DQ9`GD@no+F}uMA<@9jhn&rs6YQ$^NHLJkYnse@Te>&I+B~y8 z%F|tbS9QhD3BOHt{O{p%GM;ph7uWAu{u`TPzvubyll}KX|GmV2FZ18nr2vb4Z}6~f za^D6A_R5~!?C@^*iDbg&&2Ni|O4GR$th;Wyo!CM4f0=NEZn9jP`t|aO-nDaBo#4*O z1e2Z#CccFq`xZ?6?&2Kj;@env)Ere$b5y-E9qto!m-2u6!1M9l$UWcM`zm}l+tu~l zL+RsyJ+1c&O*S4-4tEZ^%%3-}f9z4lECZM5%eV2J*T=!P4ST7|v}=Ybx_34wN3A_( zvfI*i6WQ-Cn*GCn3H!9M2bENpP#*3Pz?TYe1z-O`wcX?G$fM2s!$iN-XX06C8|I{a zDe3;O`_X%0&8Uz5?3co9^c7iLA;ND{g>zJ zPJr(Ex4uX@-_lz*orG_qztO)p@VDrzvBKDauBmOnW>sQb$mR+c*zbd7=L_hrHH~{5 z&xA|CFF&iq{x#Y8cQVdFWFWw%Z_P*j1b=}1#LydoH^32aAb)^-BfJ35h?X7}(<{LK z#D8aw>~%&b4YkYz{T$C@(A#z!A6(cxyk1V{KzTX`>2=M4I_$ zB-p*YaVytfzboYty;xzJ=o^ z|0t5>#{yjz=F_DX^QL?w(IxVY%qI%^2K}+u>(hYe?|%a^$o}3ec>YZ%_3ZUADDu!egytFaUA^=WSqGL9x@+6v5ES^|34Ofx3WzC zR_1&VlZ$3s+E}kk^L(>eZ$o#D$}a27oNTo6a|L^)#j7u8Y{d?OMdy!b<6>aSMrm7Q z3)Ob1Z)^2Jtc6}33_c!kC>Ecudh~UibWrHm*O!l}{lMBUQPEkHhzB$e(OC1)+Jk@aeEG`_`K)Ykaf`2qo-Dl;1tbO8Jo@YL`3o?ooCecmsD7J*-^ zO!SG`ggn4+gf@B(?n0aw_)u}eoQHKkE523eJL)I+4muxYdd%w$v&m8X)?|}ezc}{< zZune?-o<#S z9R{9Qr^a^p7GR8YwfQ2l!{V_P80R(gNRypg=5^TfeSFu>&SmOO*3RX^b8-WoYOL3~ z96Vj*ak4gdeUN3*)Yt2nmB#vowsybM=}srWQ-KdnAIlI0-|;v1!wkIxU$OF?cZ^kUJ8dir+YbV4qN!jzIfYF= zc@wUJUf$czj>bF)9rk8yDEGbO+R$1N??*PYiT5)$G0SiLF~4Q%PL}tB-WowB&;QqC zi_uUzQ+S${jd3FzSZ==mQG1>&mYhi}i4LmB&xYnr`dIcY%#~+BA6NakjAhsy(_h$C zqhYXJw265ku`@+Jir_j^a53-e_O|BV`+a==66(|xJD!6r zqwd>Y>FY*35pwlQqPl7m$FIR&X}-tPhuNg4j%<3&SzZ*2C2Z{uOxBS0QPex;A&D&C%$&&_jA%&;M+OuZx}j&j%lWO1oxiSdnuFyI^w%2;5S<@CJ$D@$FzGX z^fz!1}$ddE%Wuh^%yBAh8)-Lg;3`n9vVE{8wp$7AiEbCp-HKI_)hw3e97p(yWo zHuRWG-Eh{&@UFRpF>gtRbeDwIAV+W6JT%jC3Nt^!Jnu?$=BLVf9(l^RP8WM`?YZ{% z>N&aF+~@3tw&&z@?YWYX}O{bJ`8J5?m6c{#dH0hHYx1HA;C|| z!w+`04*i~ub6hE|{2t_@cH};7OpW`SjH`AQyWHQ%L8`2DLUb3zB?ae+DL0w91iKHu zYqv-)u~kuDD%;u9%3p&aZpfK?@E3~a5a!++Y_`UL1`lv%Y$kd;-9rtYs>G;*(e_wT z@3ZiOayt*eC+xF+2WtSAcC9?^6V)qRy=7T=kcob;E2IlLW1Ovv?5J4Kh)|I!+)p{lJAf954S$r&bjh>#bf-N%MBKL0jeAXkwIX0u;j0XLh zp6gDS+uT0wA0HFZI|uffe{S$dMrj(oBX&?Mi?Gx(HwG)q{Me*nD4ZPM78`Dnh6 zP5|2@JkRS}IY0%$y{{VffeJ8%GzHKcBIk7VM zN8fq;RbArt5t@F?oPQPltS|bxl=)d5f1VXQo9>;I>|I`8vzhJBH&zfSy?r#rAq&YoQ{HVqr3^W(Bp(m8JK&Q`|rHNB*Jp_ChIvf(*(Wj8bT zPgPHKba|reby|eegPm@z!r5eZR%itN$eZJw*Wr`0U$W&H>!z(`-K}NPS$^y$x@k?g z6m+T6llOU8O|Rb5s^kBd=M(YaA7<-Jh7W^`cwYXX`tbZH`ULx+zeUGVWz(W6aZ+-J zJL_3G0eVVjM>tOBI=yxNy4w+3YO!U->!iH4of{f5)ab7j$2u1k_%7z#Y4F{Wvw#hF zL;q<%tPxAL&3}(*FCIL&Am)$m@w+d92mGEm`E+R?@IbbG`V71JfueTEQ&&vu9Gkc_ zOUF1z?CEq$w$4$|y2EJQDpR7-V9&|ivvoz92NF{pP$D7W^X@9B7bD6z} z*hllV3*_<#x?4j$c0o5djCqW;BIu#AmtRJ1X%+k9RyAneq$A`jWOPJfUHLhxi_Z{r zchC{|eR|(eDyQ)n^2KdVSs8|ZE;Rn}ek}ICH|%N2m4inAfk%#(ZmPrVi%XTL~`oJ_#uj}^6p$0c7kfm^|9I_>_3uc)#nUw?UlZKquQ)RwpMV>S4= z@TlEo*5%{#h{nO+zeM~tfen9Ew$4$=)0yg{jeG?BHuG3Rf5kp`h%tjMc6U*Dn<*J1 z&S)oN&o@|FWjjF@g1(&0c-oW7Sw5HJx{31^(9X&jfApr!Lw1h6K(?OMT8q)=%CR4y zJ2h|i@zvi!%-U6&c~=!3U#LUT>!*vqwD-5q%_GQ;_V^UGLoX~XYBvEt&ns#tA4qsW zuW8OYFCTsz4bIZpS4We8lknSo9@(MDMyB(?K7Ixqr82TE(oa6N+bSGRz`OTk>l_8| ze%Qm2@>@Y1W_*eN)>bzMefx!m|5l`9?Y_rZz(oaQmll^$9$E)eU9KQ}dHX(gk6K<|^6!Z=EEB;F88+`7| zkAS{0Z+rh-=RYS)-}RHAugTm|>Z<<^EP1p%NKQTQox8KL!51Cyh3$9F>L>ICXMP)U z-Ol#SF0g%+o9!c4tUT95I^aJuUYrY?Oze9nZ3=TFVSfSkv_HyuDNZiTXKivY-%P&~ z!TXyre&8cwf;2yo-lxgfslVp+;Z@nbCz1vFSReJB$8WmtQ@HNQ_We|2{1EHg8M#;= zPh$L#r;?s0cDlQydvYRs(4Ci&p|4m&*9PVVV_p=IySK6eYSG)QRR)7o7Pj#QsXql%G@>ub9fVmis?4F6)*yS0{KhRp@54g9~a1Y-1FGZR-x;sNwchWeeAc$Ug@?9tN6!xK=DCkMc|Ofu zJo{ESTIx>2!)H4jgf+Apxdvhz)|k85gX8M8TTi>j`vIf0>5BN4Ii>4r_AIPbqWcEJ z{C(cwlDs~8$T!c$x9!RJH^Byg$8106(9hPs4KB7rfA^<4wow*vulsJy|5?}Qr|R|j z3iZQXHk_+G6yo{4QD56=8_Fx8oVsawG{+FrzrgzRV**(%vjpfptB0hx#_&zUeA|0f18eVc4I8%HPiDmE3H2}Pi6N7=}b-R`+}R^6sO!X z!^Cm8n?KGYw z)@f>&txIm+>cYdyYqzcI^GU|L6V;uC9*6#6Zee{}lp>-`?Gt=uzZGA4OQY0BMG znkRWS)8BbAP7GuB=Hxv?{)1i!KCtpu+dUo1Domh&zh|p;v?sa;5YZc@6k9- zzBT=xd6Dy{L!B^Y=*R49wh#8Yr1gmXU!*?RL(&@pOyI~ z;{8>~zTY=wvJXCL%s&AalBtr;Mk&6Y-|&O&`Mk{Y84caMmwi4ON3t3E5Pa?-&*h$wa=6c;ftO+LuT2&&y1(#f@q#Pa7BBK=+#o66Tx4!l-pO~?3QU^IS1PEvgJwBFw)z6*4lOq{SDI2E&+ zy?wMHj~2(`0~g7o_HpU`fM(yaaRPks+L;A$0?!mDoH2g*o=QQSpz{KnYYIc;^Yweb zPQI+(&(toK0Dn6F?0k8>zYd%$4$!+W|NJkC*!GE8~*T3G+>uB(; zcXGAh|2cuu~Q?W6EAH0W)s zo>gX{f5Bmu^TEcS9o_YhAIIJgp54Q@XrudFMMJCa`J)3_ADx-Vw=;Q!cQ}(O-ecd| z{m3cLtj)~sq25yRYoWdQb$(ofpLWQ$?Sa+adSVt>!Zwm7%px0(9bK>cd%8D zHgu`VWCMzHsqD|GYODU`+jKVjHbxU{u*XA6ll1}Lny=)+-BN{l1bpWZ{ZQ;3AcUwF&o1;dgPC z;9=SsUvwn(qnUS_C!By6suS@-L7XQ(YUkGlU2yUw=FgSrfft%`prUz8ZnHrC_s@5^ zOPy<+h~~f6X3nGVU6KCRob66b&hW#l&F5<=v$o6h3_l6G5@cu4%Z~CG23wBr7x4Af zKSzg{Lxc<|Ca9P`*feXldrba;Vj(4RqK>bdDYlte58Kz zk~XKKxVPgr*l{|_3`_?pZhM$mHK^n5dIYD*R0>He1uV{cgn{+HuJgfjL*zENdMDO=v~ZE7KJz0{XQbPBq1ZGgw$ z`L*8XVU;J^4xIbx?*Q#f_}kx>&0N74D;i^@^P^0#uB1Q7#3-;;XHgGd0zcVc#jkRA z*-W3F{$>yOQ0)v?uY>cocApqNjLl89de!Ekhi3RYz!W1;w?qC(e3zK&v&Yo#AEW+* zs&BukuW#Sa1ED;xpI`jW*X27|{l9eM{&A@Pm-NGYr@IaqHItm21d z9#+cLPuD!)4d;fH*Ong!4ucP;?_OwIoz6J?9qvQ2zsa@QxALfZMxNHb$#>c}c|Co1 zu5oQU&+*@D{r3gF&t78Zxli$Rjy!$%a*JN#lSNOHUdsS<* z6Q{rNIr`qr^_B@pRzAMvx2L^}Ep3qJ> z%FfC9eLwY?n{v|9tGV+CxCnTOa3VbSi|4?p#%LNxyrQ;U{`*Y-y~cm9^xvnu@6J1+ z7xg=T-+x~SPw4krCkM$|c!uBm;Q0+J@mKh^y#b}HP5QUFyXvQ(XUsD5VLW|T%vXV4 zkuL7{wzoA`6rEM=BcF-vvL1ZI_iapg#&#AmnDGY$6E@b~MB5_MN%q z-iblnJAV5#-rSg;>ec?{$c0clxcISi}cQ98u^PrprGJx;aIX2u0 zKQCZ^!z%IvE07O#pXKCOyOErT|4bhi#EDwt{fy=;otfj?S$V;oY-)Rt+O87sBairE zz~^#KDw8jU?N0S<@OdJi&HNzg<3}5Qbg$M8=zFt+%k|CkYS7`G$c*wg1$?2l+WR%k zoOI`t^4q1uhwnkB4UHPC`0X=*%lmeRsjnPh3JcFzPjE3RedsPQ-N*8$f0psxBA5pk zJD4w{AFqp@ossY2*Ev^4Oo z@LPBU7Vc#pI>56RD}I>^d~-eRv7M z>qxHcTX-yz3*<@b9`L`T4sbZOv{s$IQLnZf{as_^PEX zWfQf%)Q`*krL=dl9e8o?0(S=Q!cYgiYCoEtmyTqu3z~$sLG}fYjh$B?8io2nkI43E zoh55GQo3U6l@sQcC=pwz;O<& z)g|ZJu${*#un}teDm!=P{f<>hy>c__ zGxwnT-_HFGtNi^AH_vOm-=X{#cW*-!!^)4V_!uywtwMl{5aj2Ku%nE z6D=1AuDtrxW6zD-cjW7zP*B(4k*#4q!TuPoiHj;K$DRZ}&mD{N`WkB*d3)+TSQE_JT@?_lB zU86QCQ(e6WLhtU(rA?0PNS<^S+h~(Hi>-HqYCoXuGt~N*aDxoTxY3y3SN>FXU=nlH zo^`8B{Ie5!eir(Of5KV5t|j4I9Q{Rg(&x)IyFI06NxpekaYjF+G=aCPscmlT8xFjv zcgz|tmnP$qYyBp7>~OeLa&W4@%Y^-`nm0Td&wKk3%sHz!K4xtTY|yVrZVT6aHb#T*Im7yp)%*6Q--+#97H7fFsD`^c@UNuvFK67Xx;HB;OS*Gp zIkqIVt&EA!CEe!Ekn$V9OTTrFR`aoU%S1WvX&v51X3j_^ck7+d&Ys!0QNKYCWqCw0 zA3nn-JI-cphc-K)(L12ecPS6PLlN(!c<`|_=Ku^3^8y}n=24jrUwNAeZ#eqp*#+-w z1UUaI@Js|p6FXmo8*tqsiV&mmLHeQk!8~Z!c z@?vA~TM0Icvm0g~?rGq>*Pq3@(#GaJcEr0n)1rOCcE@44wQt3K;a)lJIvXE8gFWGV zBs=G|P2;pYXDu=4j+a#3UA!;1c)Jx2^Bd)RF`owS70>a7 z^kZXkX4}pxF~=}|Z11&37+{#`VVE-s7^>ksP8&Rz0t|V0WzEs-d0xK2!;G%IJ0UL+ z#>8`c@WnG84djMHTn?`7(B%8qJ17NUF`41 z3p|j<{t^Devm>o9K9WA#*=}Cm_Xu;S`TXY}(?*uGOHTd)Io@IUxebqvqTxH_XM_Y0DJA%27T-Y3Mp2`)0Jw!)f{167T$M#_2I5 z$-s}f_f~mpi6U5=!o(}W`{H@~4# zj@dlXVkyrbFQ5#oyyRugZqwSI=S`@I!%k{READm zPHS`$t$t$hO92gnE==Kb@|oT_kf(Flw~)Pa;9I}yG1wE49b{SIWb>V0mNS>Ae?o;9zP40>Kr{2%1%yMMwO!A94YZ&yFKk#$63 zw=~DU){WaYiFt+?G3DnR`+Q3@{(tl1haCSXW5;`?v{xv87IdrjI~lJLvxV3*=GUN0 z-!uuB2feRndkKiUl>677xO5KS7hPzvp30i^>GA?vQ7&4Iu-An%yY+p`+55ttMCC-z z0H&8s0aN~Zm-8`2$n|ws`Tu?Ai%8j2`FFYE4+Us@D zyMb4{$h#w*d}m_q?=W|*ood~&i+CG<)W&^lyLtNfx|a3%+R5*Xf_YMI^PKVA=6M$I zj$GcHE69_F;NzY~{Z#L)YxT2U2ap4pXpQ&+ zhO<2l@<}4SsWRoAiuMsHhGu_^JIn3!qcM#-ZtEUek3VU4n%K7A``Pl-s%nRf1s^=M z@08h?Il4N?md;z~ypQb%AZKJb3gyS7CucX?*IGHz8ULYC_5)VeB)0!J*PiMft;8qI zIi7f}U-_0}*=JZv^A_PQ8P1-KbMC^3j|i9i$i z>W?=3AEOC*%yu;SZQ+(Yq+*Ad9%&5zk!D&bH<`*2&#J**0jtGZs_*@S;RUP*%7#%^ z^Yql69agrkRh}>ReUpP~+y{~ao8ow@Lrz2I%O&^1lbtp9^@DGudnN=&m}6RQF*#?x z&bh2*4L^)uD{+5`kI6&(7)M%Pjbri==4Net+?>}&x+RncSmL-j`|L>TyZnobGoM_V z-3R%qorm|d-shn6zVN;ApvD)^i~n?H)An|0{iR^vi0+hFDjs4VS|!7ODpQWTi2u~q z_I5$<(N&H8cUrrytObS{z@QwnKVuzu$jUgkpd5X*p=HxoUpW z1DdPGp|4TsZSNf}!C%159%;K@rrq3squt!;zunx!{-)fyOBdPx?B;XMHSOmFZ;LhV ziX5C%CjHd~ezGx7Xe(Ri`ex45??RU+-?{#faA0%RxYIMwJU%9aXZ8x(eQvpUo`9FM zW>CmW6X0{D+QKhKgU?0J0iQb0FgzEzHhRT)>pEn2lCrgHp`(!t!?;P)G*p2Pw zMPt~D`T=4nv(xbJWbAY|Fqxgs$fVhXHZmzYeY$W#ojltoy&!w~&27mRtsj_QNPd5m zn9lg^3+yrRHbM2Y9wIwy`#FgH^taYUKf4`UJkxBf(;L|QUT-6CecU<${Z_P2z&Lu> zDe{`u9Srt_G5!Kr3=W=cDg{iP=Dhe$R^w0 ztcA!o-^pAm{+*%|`APC!4gcOxs)Thw`APWkS=sFOvB0UqJ#v_}$65a<%)jFIWa>UZ z(JWr0`^=z=8^T&3GHr9HqBEO)mtQTOM044V|C@27JcNA04OtwmISL&0EgI8Y2a#2q z^V(?x@Jn51P$t5G?me+szVGU>eIH8(?)!niJ7z}1KMLn5E>T_T{fwBuqB9p!oqoR# z`6}uN|JwK5g+D!t?3fIZ`>?gimGB7p50!Py;2nH-bbX?~&Rxi~Nmj}Sr7d+vmtv3o z{fn~4LGE>~a2oH!c@b^kH}k*Gos-n%hgZ8~mo`6HDs6spg`QJ}ujcG5dl`^{XJeSF zT6Y9Tl6SMk)UmT`*jOLPvD3XvsY&_4T~B5E&b) zv2IuB7hIMM{T46{FXhYxKE;whstg<&L*Fd`7qWjDJnUUYpS1Z+wV_|mS=9G&MrjGW z02~@?sB&i6=-nH1tFO0#J&CGg`~aS6K`%1SRV?i4CZD0_IWVjcpvqKHeJ7&!uNWA_EXPn4qGb&Cxdg{pJh7H&!N|k_ha<4WNHL_cJ?;-Gd#Du51}Xb zxD9p8`tm9Gz6+!SjlS@4YBR9kHR_G3Ua4bdI9FTZ4CVKPLugQ=PQYP2-z_{BPiVf1 z_ccFkkln|n^BsDpjrulufS!*CX6FB4^(%bBH|!a&@23v!?MyQu!vzkTh_LpS}+U^`p1W6#1}(idr5C|SkcPNYMwVxEPz z9$V4{&9nAq(A%5WsI6o^!;|5;i}yF|GCDog&`Ilk`*UpU4Ho;`{y}ucL1+~A2udeN zW@XPpyrXl`gL^);OEkS69NFD|Ep?!Crp(D_vknP5KxYcWnLp8Z=N`dK&i@OIa{-#C z;{$wM-*>Fz)PLZURR75TfLHXs+CrPzBj4f}_9-;{wm?Uto$LX=g#J$N3z!65KVh^X zMm>tNCm%Jsu(p+xr)j!>_t6GT1I_QCE&i<8$5-F)^mt|ET5w8#nKL26W9Q1!koh0{ z-BgdhgM6BOpbx=QrM~cMI98jkHhp(ReaH2(ee=xvrhe$#`ez=pXXa0N-i-Nh`@b~q zmJId6bKc`t4}Hle3(v(f2Z_%@y<|>z{ciPxpC8u?&pYS1ek7yV7V}TF?r3M#f^5R4 zgI>3%ee{u&@isVp|1)#(cb7T)&3oggQRgnk7p&o##*xo#F|x)G-j^j7k5~WjeD}M> zK1O%JaptS&tSt5*y*uZHj4K`}vW4=;Cp_;PaFD}`q&V%KYa4^PTh7koB%GBk0YkHF zPVTI1JDArCm*V%MkRRP0sMx2Ud}F1+PkR}4%>RjEs3y5Y*Y<~Vjrduq?9FfF++2Kx ze#pT~CpgKD9sEee|0Wwzd^HTOn68RsMf@Ai;L7K_|DUsXj&h!T&F8_}@r3m0(ei}a ziYM~;0o`<0r3>EyIjokP&!%~DZW0^p@8OK$B>vp*^DNpQYq^g$ysWXcXI_49mM?-Y zTx4t2*79VEVLean4eQjDNk4Xh`-8;CGvV*B-rU7}vbMWdIUxE|-k}f=vSsw!#aNcx z0VkSYu#rtTLDq+fdv!Od?nWanx4Svr}BBIOx;$U?lFn+(ZEN^@HGH}dmoezZXUDbM#(+BW4`;FE)^3UGl9 z3GspWVw8Hpex!4Uzm$J5_)FxktL!NY@m8b{o<<+!^-=0-tlyQ`f1mb44&L|+m<^xj zf=~RRTz@x;mla!?-YMWK*$>51Ax7T*vE&JU7wWbfR2RRzYiDbnejg)WOC9rhku8gn zXC#uzIkgo&Mm`-HuP`~C)6wB#+gdXe&yqZyLY57ucS?l zIA)Z*jK#=&S5Hrz4PNQK`-y?8T`q3cofL|lN02+U9YJQ0y9cD_)kk$7~^ZemJK^EN zexP}%m(1y|?@~X|Ft?vMZT#zi7j$Ejf2}#mzxMK*`qz{PAKGMJ{xx;}3*!sc@T|$d z))?}y;c=7Gk9+_6 z0mHw$f1Lw!;OF39KS*qv^>KraFZ8cNzfT>3f1QJub>JjB_N4r4@g2F4nD2Ctj_k$P zexAkizoCB}@Q~pN`IV`Eotd}!5G%1~$YHg}zm9!L?hKFNcFB1<)*38%CyAWP*w48phldbSlCj8|2 z?UFg+_awEQDShqs(A0bm)ylLNIigAM^|j4M&#iChVsQd;8sY@$p2_(3={paYU+TYt zJK1{Et!-#zeryqqpl{)v!Mprea^ESw_68q9{=M32PV(`iIS~)F*fhfj{hgxz#8cwY zEX}cB4Ikg-`qKIN`oXqTuu)BQJuY(Ng1j|E@+{ihGZOFVDRH*`Q|FIc9HqZM&fnU{ zL(a$e8-H^mpZCMeuWe4ZKpuj>9B>osn&6`v9O6B6;GpL{;Z<#Wg;#u5!5R1y*|Gh; z!QUj7OXEt-(fk0{W{&J%N;hn7LEAZsNre-&)qWy$;JCfh9xK=W9-WiDzX9uB z|E@{PJu8nEkBRK0@+7}jJcMuGly_78(>-s|Z_Uq7zPrtlXQi%W&Z~EL9Z#PDPr59{&9cdVsbZb5kU`To?;lTDB=nD6%=0H^z#bs#+xe#0|pAD)GN#Wz~_ zS044K@J|e;c`7cPhz8mNTqy72*ETdr3+7qL;|cr-i|H8u?d%(=WbPXb zGP%Uh$?QGy)|59Xgx&Lo?7etpwv#ulak{^q{V-nf&+=d|bSZo?%gaHev-&+vb-$zKQHTS#Q(wAg$DR$q zu;I{wrOCiW+LJ^6rbg}tzG?D9R3`iIBH@^Ez?JFM+S%0ScXB4W^K4hvaqQ+NN6Sf_ zZ`)t+u4j`i`|ycey~MsN)E_+?UyZu5#g=CVhAXJ6el(ZrLi*-!%NZ=>j%NMc$9q(f z|7Ltgccqr6Ju!SXxy+l$WuC!Zb*tDrwE{i3JgGkee(8htW%r%#wM9?L7h-*$cgo=h zo#FRAuJYf@{Won3eZt>OhW@i~b5jF%!0GHJWuvU=cL`_GQ4wvbi|`3)`w_LJj^X8| z23~^AHhZv)et=E$x8LM5Mu9Q>PPj8jbI>#WT`Tck+Hm&|y1CciSz+Ud*J;~TVyw*h zV)Rx1T}6`D>^&mrRGq`q9$TFi)%eJ#`DVJiCoY%V=)*qske9M?v?pY5@PUCj*@nMF zKOBKSQFG8eMfx4u+uWx!cj#hs=R3{qfZJL;Pvv`gZu5-asixS(w=>#wG-%Tw=q5aJ zSBGK(ouAgbvE*0T8Dq^AUNOJCs2+GRoKR1&+ddc7olZHqQ?*yQa8z4CIX<}Ae#w(^ z_3(u~|6S!$r@35efj-&MgCEMfO7H7Ir*K!0*_}z~lM5NY(Cz?75zk5&{JPrqXiXSh z0S$Wt-e}i>d=DzlMZS+izAMUeatF5L_9bz<`y(AjU!xkcjSgE#Tb~QwwVnFfBfp~u z9mYFFrNd5UFW^Kv%;H7Hk*t~jk(nv*pm@i_Z2AFRTPyRdi+Ne&hOlj3f4#QFe}$^<86 z!S`LS_!U@|X&$sK)P>ZseT+qO1;!%2QvX`Nk<8`J75`B13SSoUQr~1`6*98Nt=}~5 z?b>5|yY8-_2hb62Zx=RU1e;Jp|JASy`mSh?hU^1>cbxr!Ck?N%6X=L!jp}K>;G~0n zbACfdRmy+>ZwCS5Kebbe|%Gk?sak*ek_lPlO}O$llt5GgeQd0 zKh@e)X8f8TU+{@0+>JK$>96@*cc{CpYk}+)+$m#zFLmF|T$+8JXnlgb1nbZwx)}aP`wMpgTO-evBp0aSUYF#sH_{wc(BMPS~5C!!ug*8ZMhm-yPNh*1>az zqkV9G6Iu?Um$sHWxkt>!Ji6=l zzP^QHPs5wfz?=UFUyh=~#2;`TGH36qwdaaEShtj~t>5^Yx)UJ%jlVeRX==~Wg&{X#zvnpFO6$+#H~0v@ z%|8c6lAUIJMrX95eB&VZfH&b1fA7BXqFtXRhJ0oPISO(O*smeZH;x}IF3m5~`eYF< zp_BBHaQRQ)0GG1GLEdt3sXVv6(}X&jH@SgbqxyR~e-n4w-_A}B+26C6197_jJxBBL zf6vpr&^5G8c=t;)zM@=MS^Sstu0L`(M~f5Lv&rxmwt48!g_8;R%VGfKtl%m62+ebe z)_eXB&*gnbIu~ekq;pa3_}_yr7fy06@V1@dYUQzrEHJn*6s=bm%v*6Mao2OwJKFozcHWWR`T5r; z);qFevEE7b2zn>gBh#~bWa7F0o733)7=gySG}j6A$^S2Cta(Q?{_TGc8uvB!tAb z`<_&;ddp0()y&@{R^Ey|yiZY%3iT5A3>v!-6t^MwZ%0jel#qQ|-&Vka+IyV!1W61{cX>rTr zdiT#vFDu0M)o^CP$qF(=ew#SAsqKtpNU^-yfkzi>&*1ObJ{F?w`0bI6jpCuL%w>c* zFc-bES!eKuKAxF}-g(bFhM33D$NrjmPzN1KpHYmQ*C#Ype;>;058A$7I61<;-d)hw zkB$(om`*l7;CYrlCNrnJwzI#OX&dpk?%@K*_8zyi?VgRh7?=I=-Sw5$HlK%|b6f0N z)0m96s?B(cIYND{5#O4rJAV5YIfs=DggP&O=G?TJCLcHo#zeqyp{G@dVYC=e$I>V)oz|& zo1mX3BY3i~ej|F;Zj9sqrWo&@Mvt5AfTz!IQ`h6b>Pkj`D+7BD3~Al>Oi)+8@o!|u zj&-}!Wo9pQ2ZZ)kk{=&hV{HoTL1@GJk*x!>FA4cg=lV6;GAG%T@ud5$i+rrKyT!&7 z>(sQbpi`f}Cxh#F4#DO*UFX_juY(=f`W3Z3y187)xJNS=V)flIPKcFvCl9}H(P@91 znMZ_!EFawSSaIDff894h-4SOu8hFKS^nJN~|9Nd*@OPOu1$59kv2^|sEe#<)MsjvMzOAF!vBcc3-Hy}f7SF13H= ztD1MjLlMlPh5UhZzHZ#1Z+tC-tEi1=oj1?zZQ9s4FMGvv&wVO4s-4pdq-1E?RjIm?S)el|E_kji7yFbYH)APG` zf7*}zzVB-6f|!J{Ehfp#A?W9y{ErOW85}6@35-oPM!83H!}yE;XQpkOcauz)JIBa3 zjwu(l?^28 zPj@{w!Pt4@hVfSaLxv{V@p5$7{nn;43dTX`JCN z`EmQvtp||rpJ&I-=_Aj6tB+vAU&*~)O|WPB2)2gzXs0rwJW;SWz%g`3wvWDM+Z+4Z z)|UA{YHgzVPom8+Kg`fD+s4HK4~Dp3cHqX*;x>|h^q;u@ z+P7kbZ$DMsCeo7)_-S(??@n)P!yIolwYl*q+Wb|vO@9@d{J`)$HVUaYPz@1H!{Sl8R@&lK7H z*IKjoGFl7gIGCT6Mf<`+8@peae(kJR-@WNsc&(Rf9a{VQnN#EZ-vQ)}-<6fxgXi|- zHJ$(CSr^YNUxFT}g*8dFVc$$R<7c^BVD;zx9#)@!t5&Ff>SZIGfa|`*L^&bD{N&oaXohh07 z>VEExVczTmtgHMnew!W*^q9{%4gXG%Cf(}K%rxoN9)I7T#`QRD(XGPQY^Pf_kICxY zT2}AUk9@HE81u7|ojl!3o&Rd{>8^jC?^Ycg(IaEeWNWvQcfuDP8o?L!dDT>&B(qz| zJt+sZpS_kN_@R<1FYE#Kz&=eL=fJg% zJkB%d7Ur(}O#?RMVF$P+KUH53EYLQ}<@nr<*E8BbVtR%A-uUg&-pCw$Z0{k5<9zcW z?0u7d5k7YG;M3xl3nvHYkF^xT$@eF~N1pCKDw^&kL+VUsPnGn zWZ<+?qW!t`-`9N5dD<@*^rp=ReK>x5v`4ud?YRwb^>psqQSRJzA3h&@y@%NAJ;Yvb z`pW0A`^p>H$9(m!XV{bTkMs`@Yh2?y!Bk~0(r&{^dpqf4|5R>dBbBrIWfq@V8o+x+ zZ5RC_!z(#$WuIfdh;8%QZ2LTXdB5TSHsa}}UKh9=ZaSAhH{`Iskv~v9`w{>BCI9`H|Ng4~e!_o$(|>=5{f9l_?n}-_ zUqZg|V*0(LyIx!8zSHq~-0#Z!=M8Z8V4XAH=A&hO6WtT1_XFGBQ`M1=#kcNo!3X<+ z{FJ@nJl4hjtSj}W;j8>BANf^bon5vLy)cd)va{DZ=R4fVXDOc*%%O)lzdsqbb+X^` zd&ho@J&NlXufzL%PjQ#i@&2qe^((W0=eOLs{^8a1v${Kd=MZzTGubLDb#sPS`kFfs z1&8jA(|DB**IsuR46pFdfn|g?*h5zzc2-^z*YpOxdi}erYtXSGAN&^18qIch z0aUKPepiit47Tabc!}$WGiJ$j4=Z@+_47<=et!hN=oisT?=H;a1I8fQmhhwcN#O&(y@4m8x5m^vrS|IV{@dL9 zmxTw(fVE?+5#GbCvT3`iTUpzgpc^!=wEPiY{s`spYg+y#Uykk=h9A@N$9(x?lnaK? z|5ttaS1E_?Y55br{0YjLUt0c6U;a%8>)}3sW*xhMOxqdRRM+6E)Hru%x<)<={)hC4 z=^AhncuwW^o-Li1N9MGT)btO33m+rQPiJcr;X-$if{V0Fcu*O5NXvu+m4Sn_O!HS6 z^H0k(ca<^sv`q6>8S_rdG-s7D=KzOvf&I<+(ku2i_0aEpa^#A#SPvQRsZ6|jRztTK zjiJBYt1_bz3mQJkP9LjID)T`Hi)YjqaB8o+;ZXNo@OR+p;j+i$cd!@X-qxNnvCHx7 zrz{VA7QgcWe2<;@x`WWf&Z6Oa>itAJ@ICJh z4COVIYi|YP+IuhfZTBeI{M`K?Va&%F(_jP-dKaeN@w;AoLco`3qq5P<92^F(^o57l z?#H;yk41eu&&qGzk<#VHnu(1!yl4B;9MK^T2T`APH$v2BjlZ$A)N6*j57>T)?rXsl z_}dB02Z32Q5E;_IVNhb+4-Kl`(oj1N}V;tv&wi{Sg7*FQjguRp@W@a@xStg1vSzZ7=t@ zf`c6tiOSmX{{xIAUX=`-R&udiZ9g$o z2WK~t>(6j^vfh^}-tG`@i&yoY6?he&5ZXDs8tveZ8ZtWwKc%vHe}n&S@bDPEk;@ck z5kKh+=r*2l-w^V8HS&5DI^rsH#D=jyh4y~}ET3h}819w8{Sso(6~KJjEaor=9ilnR zV-9DO2A=LI4ZL+)vSkh9n?9hQ?ew>UzW()??D^!z`&ji3FyRLO#_oUEx7_x2)em5s z;xozYiK-u-i`>lSGZVac-qT%RMt{nUHsnM`=eN>(bg8?aG0;-6^$%vltI+ns+g8|p zb-KUNbjVy+H_%*rz>MCEA$m`G?2yx20qyCd3;k31&h@)S`K__MoV>&OW^TFzVstM2 zCLYiniIsH^PJl~r*gU9XyukB{KOYr%*6JvCFf)?hxzzKrt@F{LzkshWH_nmF*Pi^w z8Te^W9J~^kHg=P{fJT=?qs!O}a0xUbUO7Ol@-*?uGv|`yI6J8yT%FWY+j0qXx|ol2 z9eORcD~HeE_bNUs_$=qMln>{&4lm#XJ@e>{4yqr#yt{r;$97N zaE`8a^`!e!`HN)K&Wm~ewRutB=!xGQ+8SMn*@B+4d%GEP6gUp9OY1wnWKI>0y^7~& z^E~uNeVs8AosHJg`?7(|^}h!_K^q$j-5AFD57YkUVs0JV&KuUeV_0U^G)HX7$(%o_HXyf#`L1ER5z?+9%i$dM?|mZiyoQ_c#}>K z@@I31@g{z>-x<8YpQCF7QbA zsgL;)ttpFa{)$+JtD>8DA@nhyKIZ#A9&O-E{X%zgv=J}-Z}#3j&d#dJ^L|baF{ct@ z2q7I}E|nt2REaU9LkuxMDi(AKknu{RjWNVXPvN!G)4swWJ;BnUXr#@fIH-sQFGB^} z?l`SuYSb1cZByzv256<7*6FI?g0dp~=7TWLA!DlT$#L8IK5%0+!_dfw~NPahMtId%p0<}~URGUvFt%&jl+ zj$}@N=`Jco5&xIL(&5)cQRnN##+!p zG#O)zd@OwYy}ZM5dKnKSdb}&r%Fv!YoJzfFeGS%c9xxBm82?fgBT2O=+` z;~e96_*=HMu)m28>4JC0s^SUeCh$ZrJkqr|lpWgvzoCN?fEjgsxs2}PRm@EJHt#VxXZ+M>jh|>pUf~<1a27Rmft}qh{3}UY%so?lYHACe zV!FU#f_Hrh^iv*oYf>KeOnq=(@NxSS*Hf}}&`CU0Ulhm3X#ubHMPB{yf-jpg1^)XK zO96lJ<7M!I{HM#Lx1h(^f^5jfo4T4W*m!H4R_*J#rd@@QAvk6W znfFE=`2@KBg!JogeBMFPRCW-ZY-PYi(2HPvWoCui@FwvnT43 z9^~*E##s7Cde7&~(B1S;Pv8yB0b9wi@l2v~%%-^fCNk*f`~UBd!-5a#i|Kj#_VuXe zm6!78J7c{rL*;kl#do_rI;)dd}LOII)Oz3R_niWi9E*BH}~~h}$g*GMvVB zbjAlfB)!Hn3pSK;Mr-7L4E}O{8uaZ#%p5tVE0gitqI-DZzz3yLui{oxM3x_x^c3%U1mfsWG8Xub%`dKb( z_E@mUPjOb=p9?R12KgfB&T;LTG@Y!N5A+_J1-)DkLno(AopkFn<;_;Lz@@3J1;95y zAkg0XFfABPzloyU#pD5GwPk#w|7Cv|!=O(ude&`5@LjxbK|}pKcyDjPq~DNUw4JuKHo)f(`DBe58Jx+$?OHBfkyaouhI1 znfgZF>^&cS`E#>yR1i! z{~O+YPYO8L9(bQy8A94GuRA)PNmz3Ec2_sAN6I#2+)Z+BnLe|c%bg{90QXbCg;%s6a9rbqY}nb4 zwwG4CedG1VVw&y$(c02c($%j{_8K(LQ8E@ zY3l?$W&NS7=-R43@JPTn>CdBo)#y*J@1=3xWL%3r#=h7X(T2vz&h(7wvU{DxHk^hT zHuyGROD=BZ>2zs}bg4@QVqM|-ou@#bzx|g}qmR}CPDY#F7GwRMgf_#`jzpa88<_GK zOYi=&WBlb)=>vM|srKQTsrtb93<9@hA4u0YN;fv~X-Rj=zlh`A%%AA1TJ$IQmI4{y z6L@k?8;B%ley2r;K(;oir@n7&1-HGFlOTX<0rff|u(ShU#djn4L zZH4<7^_p}t`0MTobRDwHkG(*&e>nS0*l%Qe^0a4!pVDXSS33KQ9$^27_OK|A{VCd; zQaR(=3uE7Mu#ahf58t&U_o`rj<-d>DZp3!ugEH>B zYg#Y76`SE>FF(}h+s}+TN@=SohyCv(?cYjoh}O%xCv@M3{a?slA@&H`f9@#}4egHN z4O>IZNq#H!i*|xfVrj#!>y+kgGpBkv?G$|R`N$WHz3$r(?8=(%iMPX7mF{cdiMY3j zy-wOcCZ4H$_L7OWdOrN3y+?-Mnrvb-u(kh8W2AH|KSUe+AEmxOkMO^v#(5Ru!J99c z*jn4Uyn4p#mUo=JOJ{aW{E*+fYS%4)QSJ51UqqV9rtNf?>~23^q0WlhwaW$XaegnV z?J}6v2QQg;oz;2Wa`q1#KZpM*++7iFMmoNV^{v47%a=@S^!~ATO82~oUV3^zr4#H9 zX2#2S{;Twn{_8Fe$tB-DYYt^&$-bLAy`I?bm8~o|BJS*zW7>qx+Hv^!F&63-;ChL{9<2b2YJ<{$BQF2HjNVFNH^S`@vd_`#7Ger@g{^9nW>(S-q$EyE5j7_z(6C znc|Z6AAIfp52bhTf2F=X<37IC-QkWO;kvEib2jCPpI63mjJeu>YwUySk8QNL&h85L z99o|r;%*g}HS$dMH)rf;3+;_<-edQ&OQ%|W-e<6Xw}S3G=K}FH-=@)?$|=2rwDev2 zSvXt?4%$;^_GmM{rrJ`h1Y6XGFFCfF{bjCigeUN{PxxN&Fg&j&4nP^Jzq)$}d;bE5 z1 zrfA@Gl&<~T>YLG&vQ?wquH{ZIwe3HZ6~EcO+Xzc(8Uv#ZeCa%=bnWvj_M`G&aJ2tY zI25oXza^fxx^u$)R%$P!jBKvepA+g!E=FnN2tU_r`}&t4E7t^hl`aw71SjRmK5Ji~ z!KIAe4K6y`>r0lDh7LMDant4dPaJCO(=Fyk*g3Ot)$nv1$9&Y*v5GYad|=xPH#hRx zWAINc*e>ZJ=>)|FQk@|i7*ZlpI~o^l1X=!=oi%&+_$8Pj` zs4-?rb2xgk=lQtwmfbf@UMBxZeg}C+%=f?s(7xcQjaqpuuEqvbvNJUY?W$zNR6h1w zmCEbDQE&sU=EF$eq5lj<)Y2(O>TeAc*viWpJ%#2Fk{?9cqy;4Nq5R@KRyagHQpcpME39} z9?u>=rwx4Zhb5oplg`hu9j|G;FN|{y@yX)&A3xCG$QObKL%oo81o*OH;?a~ZWsBvD zn=NMk@}DIKlyx|Ukoaj`7bygvG%Vuy|ID2IEs0YQ6t99u2R^rd zf2Y34r&XU%1-|!R&*^lkeQyO0g}$AnQ=9Ld^t zj7zW23-H6-)=DqCzIFfI_1a3lud#hK#5`q(>#7%Rj``=wyVF%;ZRH{!#xvpzc)bjN z4)ATwUvLuNWh?Sg!5*b>gl7S}L_>{1Q~WE9Gqj#(XRuzz>#B<9Vr{sdduSuP^(L ziYHFVH@{?m>q&fAK9}R8F>qWzFdeQZ@pTJZS@sdIZ)N_uiFV#jyQYhiF*1I>uQ9JL z=U2{nlgWK8yJ2~~JsZ+mW6LtKJ+X}Xr+o^8)pm>NxEvJnvkhJD@+I4l_-1aSY(7!S zOYKyXjc|KKKL#VsrSFpY-vOIfCi6elw=t-4t_Nj5z6*QbpFRAXS=f7gJJSa(;3`k? zuQ;y^aCujsN2>C5mWTL3^c#&pDFxPlM&ISB-c&; zCOochOh*;lVZGevM$A*kZT+0_AKTbG4>ev=?1!;Xp824XX{EtmN=xTb!#;k>r+>;% z=Tatr$^*{;uj}|Fk$0pojPD+T@8X^nmCqg^eu{r0npG&1xlf|9WUD7xC{EF>bK4WKeN&05{&yw=cVsCf!A6n5u z{8D^dTGC079E!1<$Jl9pJ^Bp04_3N1(|S!68^>ObHpQB%ZTHu1?tcG_pWXau zg?SC<5f5oSnzI$h-}EqNA+a8!^UkgA%1LT()iMc78K03w~KXb=fN@E16q} zF4FU{_Td3B7>yBw?B`knYb&`baSkg|F{$g`~1#q;9t`jYT0XeYkc*obz_ zFEr9X#``Vi-PFdCuvdfqNzgy+CBsMZb?hMD-o9YMcLo!@w3np`W{QjCBdrG?ovfbr z36$w>?`o5_ihiZApoQb0H8stlL=PKZVoo-`Po-}OT%*^i_N`nG+bDdd?HhGk_AQ}r zxo^(DHOW5wd?hipLZ|e|&pD0n)hoID<5oJQh?Pwt7Z%G*=+>FWG9ypUer7Uvufp^4 zf6>8ZS+Vmhkz3}oLq~eD{PC4pexBrB{1joyzDQPVJry17YpKR>(4oxlT6$l1`jQ>{dKxOcFM6*>w&rXLYdEbzi@)#&{YqZOqPX9y42SmAsyt&@{@9#>{LMV=kOh z{_$}X9jyP!m>NutX$zPdC;dbR$%5z-#;Wik{+dw>#$VU7!PV+n`9iEw2z_K zBXEi`ZoERw&1lr~+Q2J|f$95(<6cP{m#z?#6aIw_!@sDn)VJ@9yKLRcU=Ig%E{o5Z z6T4X4LmkUD*~K}~UVWEcL}%H5*+t~u{@=)d{1%J-F%KVb-%fiu=7+U=+Vwq4L$$>r zZJ0EzFN>E)SE6IkGpuh9J%o?pYs_i-Zg^Y1V7dJBSp(78O!_&!jHjUAXHO#knoH_F z3Y}*tT~P2Be5ZHmIg8mRI#YhE=&1RLuZ;~y|H9Md6Kmcz6%6THl@Y#@FX;@kne#(? zsV|?c!-rM8ycYan_q$cTLY~K)dcM^h$CLcYhK1*3AH3#!rGO)R9G=B;N_9PsZ~6|H zx;NC}dR|j~_)cw`EXY^d)X<-GpYP$*@1q>+o5$w-;>2Al+cYOSBwhUs_6P)fsIl7D zuesXt;~!^_z~f887^P!oG(^6AJ*c27a$BUKi(PN3uNnuvYc6AbiD{ZQa#lr%?=jcV zIB6}`>HXvX-b`<=EB{h`56{Nf*%~#lwbwxTYE%0hMk)Ud&QmLJ!j^gZ6L!v8a$aFc ze;EHVXXpMHi_aIdkiL|imY?9dQoLLZ>ucuIO7|&^JrQOT7D!)2p4UE!gy%EtwZTI_ zh>p^S7F&camd<=r={Db#%%fX+W6ap{ZwvXp#%O6#w#4i9j;<9h4%^c1i1p%J&U7+k zIksSr>Fc;3Yj1~Q&e4aoGUo4wGO2D(+eu>^(nZFrqFI7R(H_2DVIQJhRC#?9Vz!ud z#CgZrC#(9guVynuWBKzu<%Cr{$-d4$; zY{|bevmZ%{|ovzm5E#b>Ho+?!7o$F#HsANz(67>!y22dvs2&N25u^2pI|Ls z>(E*=?l}EL?KV$fjrij+J&Q561FZs># zN7e4fZH=3CXZgwUfelXFUz7L}-mdLaO4{W9+6m#PHNa0$H+?!j@)MrwI`hO$$r^L> zz8&TY?cl$hy+6zKjacyK&t@E|^rafdU?Q2v`P#nc{qT~BpME3w`8FP-lvRD`%h_$m zZ4AF3((vQM8L7}$>r;oRXZhc~WMT#Tx1FX(pz93QNJDIh{Y&tc#?Ih>TjS08yUF`c>c3f$Kb=uD;ci#WC z{IoNA+POD@GVBH8zvQVX^Ha*a^g2sd8Nu4s`TFJA1-q7yAYVnfG0L5>y8%nprBJPD6;58lL&;qy;*Z)@Lm_NDEi-DSr=p}i60{UDZk#u+=8f2#J| z%YUS@JYRIyCG8pV#aV#RUwfL70m*(P%yT6}O}yC8n%-L0^seUnyww?dZurKxoq5?> z=I!6Td}3s^#u)mMr?lESY~j_cNwg*L**P)xg1)mDSct>0t`yVP5PMn6H^b{=>}x%- z^R>iX(mm6}pn8+}&Di=73mR4X(mSkMDo$ndAL3TTGQyr|U|9?c*tTa{?=c4I@s4^@ z#`a97?K1}~mD^p9cv@Sb?rz)9jxXSN$#2p6W9mmM&+Iw=h4Rup(^@~WIaI8typR@r znF7|p*7iDk(59ETjUwMn8!G2jGD^D_KLIrs>%KY)&TVlx6XCE_G{=- z#mIm;D!DC1X@~xUK5VY1G>) zUCz7Fn{T?Otw#*c+xxS(QIB`4M;x!H7stOd##1d$N$f%82Kip2yq9{|_wUjNv)PI( zB;Q|X?}qxPZ#^uQcr*M9kFUU<&RCW$_+#*Q*db25{GiUH)xLGrW1pbqJ3Uo)(s!Aq zIj3SA<+WO^t9*rcp~X|@Hr7`&)@Cbw@2l_3p7V9qW8pEg>$eemQlCm?mr=&@?}+)t zVTHHTrHlV2oA)*Lgc_V!PH`FS^>f%Jf265j_T4n=#g5YqZ!2%$V(rWnzqQTr^<|a6 zg>UTs7yM|r4N;z$a;?NWN<+sCNsd)caSZs@zMG!SzFXZRrf)DV*WTOtw>?W`g%>{e z(4c5H6-@ZHfXRG#T9^rsPYV;CE?_cOnHFZk|I@;R-wT*SCxMyBhG6ca?@f0Nmw3+N zbnDwMQ2bK-m&WPzUc~5H__dOe!S#Q0K}~z&(W#w@E_XkWInd#5#iNOn*`7Ap3F7iz zXE4ek@mBlB!sdpnuqjo}q=l!o5B~BSvOC9Eo3r(!GdY9i*`0S+W(FH&^Qyvc?mB*k z#+^2@h3HA1@_Xe!4Cs51o56$s`fg1&vRqd@qhAxf*vB(*Q)T}I>x}3f;V{1E&!mI8 z$G1HrJpb@_w0|JE+oIXmEA|t%{;m;O?YKDCw`CUNt~XO4#g)wa&Wev^RK-=swlVgyypaYj4)cH*2d(4e>&>uRVcWiCedS40a zHny*10pDm3qsO$?f-N-|^BXW+XZW6!Z*YsYOko~LDPOAdusYOC z#ug{0{!;D-v$~Q`?U!fGY}jR5FqIzH&AgvQd99tH1B$hq*p}q3Sl0ud*AotH5w`*H zQas;&`Sn8)>VGGKd_vqxr4?_^GfT3 zuc_Ud*hh2|{W1Tj9`SQpmiu920nIfQD{g$larqGU@NIs<6VSuHGm8DT@78@T^I$c<)@CaRx~`$8O%IqC4SIo96o0?#4jh7+xKV!a9`VgOUk+C-58BIC5^= zoqBF%eOFJ;&CZ!C?CyQfj|0&T<-DGuObx+iVx-`^W>bv_#b=O+7BRa|S< z{)s~;+uMVkGTX#@w0PBMg?>TLqo-~+er@Cb+^>BYpB&mU|C9~cnVoch$-ta|xA7tK ze)BO+PMi01s7?7J)^E|-&$sdQJf*dv=lhqj=D0n`Wn_5HLp ztD)=9?b4H^j%Vaorkx6pwS1 zZG_?{MyH*W>mkl;F&)yg5@gj|Ko~F9#UY32X zH+tfJpPsniC-E(s_GZbq=z%t=Z-L)uJ{CTh^$8l+o&V+Ey}C38@b$3obNOXyE_m2! z?ZZj=Vvel=+t}Q$HQ-Yn6Zt(UZA2fV5p*yg2D)g!kJ;ohjS}738F|jym2MS{Qr(KL zSl6D-t&?dn=(JFN?3?uNFT;zHaqY93uHUk8#v^7=?>RVwGnMUKvJ1~tStI#%?saHI zgG10@;-+o;PgLVK%>B|6ZTP{Qi_jnRYOA?w!-r+wioa!aWbB*|t&htZHfnIC`%CDT z4FRv&&u9^6>T2lPzNk}~`as9D7ajYT1(|=Wu_vvfZxO4&R-gMBqttIgmc+;S zz04D1U3j%K>Z3t;!th0>m@h_NZ(NTuI*OMVchOnrF<9EnMw-dSw#5HHC(6h6I+J4j zNuKPnXeJw>IGn~i#ixSbs&CoXGk%IWw#qjdZR?(RuF4Q|w7#xt&~Y%@i;xoy?75%->@^Hipny_!Ka7#>y<>Laku%&9Co2Y6YVSPMkXqM>ugjkOgcDV`jQn z?Zh!pacP1Rzwd0sbrKuJILSuMKJO16;rzCrx6S=JdVRL(b=xxs-A~qzosSXw+&4G! ztj1Ha1z)AUs^i*=ovwc@+oYIKU;JO-+(GQ>?rc*bkH8QgDSoeS*JLwnE-arro@X=c zF*!i?l3!@Q*#P$pEWaN9XPUw==>uT}Jz=v+r-2gUHU}iwYOh zCu5fmfrHIQ>Lr{%erWr_Yd#u%#zU_u=Ao+VztsNy4QF8Pquj(zm+epQQEU2+s~YrM z5eq?2xL#AtL+4Tn=l9_sT6*H!I<1s1UapL0`Fnl~`J;}}R%3NlUh&{N2R@hjzwU%$}s3)SBH!ACI)tIK;W!OPoGxlw%BS6!3fBpqll ziK#Iz&Sxsiw;zvu2e{hzXgHn(2iC{OzfO6ly|qW$#>W{~wbQD8Tw6R!xzK<0Z}#n? zgVA@*E5rDMTd(g8Okv@B89nZ6@RZt`JwL*;eBd!(aJ-h%AK|w42XTIq@YrC&WBWcB z`cmM<8IqImLKd99R;~+tRIaPho_qn>5_n!QBz*8G?vw3r53!$~_Fyx6b`X!?4yeTU zD0Cd@;k$SC6qS4r^-XP7u#0-msBo76&uYhv{7W;Vya2nVJKN+3Rd`0@|_fWfXHWU7_@w+wQjiuIFWsB_HzZAHs&a<~8 zb)NU}QCYPe_#IuWIfL5#6~HsT?aA^{_;}u^k?J9Jn`4i}G@U*#qDlendc?e{(GiU;uDWo2Y- z!_V)FvhfW3D#OFum}}#6yR{d`yuJneUx6;a4qLT3vu_SY)`LH3wKY)(GS0pJeb5&0 zy&8Piu!o&8SFE{ZXxceh5AZ2pqdfQ5QSX+arukS8ZOf+8rurh^q5l4;hu_b7j@nA( ziZu?Sjlo<6%=feAnab4?+QUzm&t88o^MC$lmrkb5e(6f}5q=zdZ}Pp@wnRUb^34~- z=G(Wbr9Alp!e6#mKY9%g@$)!g$%XgfhX>Q{?pCL)A6TldF(Y8AK3_>GanZo zTE7}yFFYD)j!(v1U4FEW>Bza+#3+8T&dspB3dr3ka$xygAx&|zk#q5hV)~3Vg3I?} zYe<(*jX$k*h9ZAm%wHGtz21hHz9F{1iMrHxAG(RAPNX@iYDZQ1|#e{x`3$l;V8YuaC2a z^$Bd!4;BQUL2(kZCFm#Z|8AQ1VKdAZ!Dpu2kgZ`w-yWI-9l(BrTG^jo0G|48s*(lY z7Cqo)oK~_CTC?IT#=-{zk5KN`MtslGI+}f2*~Z(D?-lwEhBh=#vS*q*baGbvO5P1u z*_~O8kLyi`ue7M21>F)`almF~Gc}jM*I9O%jiq8;0f)qgD)}q^O~w)U;cUTESNTlE*w$mbMr)MfDUFT(n@)WQ-_LP{=CTdO6L&Rqz4OF>=DcNn zv+CoiJ``{myMb14Zf%UI>Zaqcj{1gYTzhevrFg2&KpeYgtGwYK>`1XLGgaI4!TG6- zx3wGRalH|5@2BXfb*42>;PdN0`q2C8^wWD7!^9uz7az?e#zZU{U-Mq}Z|DpJ`CHg# z`_8V`fjn!kMjDUwvD?nrt!C_2H~47KX$l@X14Q4>2&YOLdhP=Boc_aK(%U+}Px}w; zTOE9+vDKwLPv|YHukVIr+o{{d`f0kK-@ZEpu5h;fJF-34&$@Kn8t~&;f&cWJL0^!G ziI1|U#mZN%2!0qkUF%N5C(upj2`1kkR%bjsf^Rjt8JgfTu}{gKg??Snobl=`+{dsZ z`a3)DcQ%5r$yod@dqI>j(nZ&?9rPuoE3#vH1o{}S!zX=Fzr06uiu`VOiL5u?A0N9W z_&eqsC~YQiJq`ORyJ)bsHF!&D?tc_^4VtO%qR)W74fORlc+zorqw*czLyfgZ?Ozja zmATQD(N?GP0qKetTmGuR1B#95til2oR+=rw z5AfK|r2Z3EvHmme)_>lc?E23Ynskn!Pd#YR9Q=h zPwku)(uM07cErzpDC8~9#p+H!cz+Chx+=mc%qeQ6Jm@oCzXn+Fpy2Aq{3iGt@Z)y; zjghOlGoeLnxkikxlNgx$=6~3c$m1&lk8?L|n4@lx{vZyV z#+cn#Xc1%nd*P1GgpXN^Tvn|2cE)>x6c>#1S!=UZ4EhK#Y|RXs?XM>B;wp1i zGvc>N{2@QG8~&LU`Gfb={~DM=KK`6`6(bh@rtieR@b;jOm-@BJ#>M=JdX((~hsUr< zzCWi72RSJ2)pa;-yZs!Nq%Q-}uQD6azx|-u0c5J5HE@d^pnvugJ52RY#pN^V4fm&= z&wFD(B)6W|#P74%a{>(}_M~);TR(A`Z@wtVL8=#8 z<+p+x{Js73;{< z(LCMw)OGf(hCfv7rJ$VR?C7cSt`7KCGQOyx?;O`o^p9e`zTe0Dm&Sqru~i)Sko=G2 zyIy<{jfd-=^7?n!v$g$LLZ90;K9QfnFZk&^V}J2sp`(u*`xM9Lxo%h!(yg!j-`~Ie z*!}2-EBOCh)}b$F9h$o}pRjSJp8BLQPTGD#cPI_I|4*L$Z^fZ3UZr+F)GnY@ZgY*4LWLUN$|(+wlOwPcRmw7@~89!hMh}e|ASv7Jt-Uv4tm$%;4_&Ib5|p7ZuR9$MK~HC{ft+j zRY>oi_ys%@_|E$l=7Pw6@Gqe6ev4%%^NK@SyN+l2%coGhfLMW_tq|n6vG-N`FN<^c z%drE=cNO0FJbXr8y6#uVd4JsdQXx(N&uG5*7xcyIEe`dh@7&JAUy=8Ko8+6#Ulh;8 zRhvnk#{_N7jPuJ4HZpGK6Lo|!Z%SL$7z1zDecYyUC#h>V5d+kE&@WSOB#9eptz5CH zbj`AUdY}Q{s#yHw$~Q|lEM z9a>uWYkh_Pam{h}$EDl#y^G1j>IiEcu-Jpw^sNgvQntnBZ#-@O#?$6+_&Cr1UDndT zZ}i;mi2df7XxqJt9MRR%hQn7(z9V65dTEx zYL{`R&6e=rVw~^JCTu?*JR)3Frv26I$K;vatoPRd1DzXvW48y=*E%myb#MGYTxS&g zt-#+L+tR*9`9}E6JcI6|OdIL-&1MhhsI2(I>~9i#jK0heb5LN!IbK}1QQM#T@rk?i z{4-)toO{fgCHpJczw`6|#8}YRdXMUbwufWeDsQ@FA!F2Idh*~C*qNH{VO!L&v7^|P zPlA)|_+U@muie9baoR}Fbn`uv-y ze#xrZLcYm&9n_nQ)%AQUx#A*Z8$J=9f5BO&Bf!*{NjE9&!6Z%ZoLO`12>tn;a9&cN zZJcNLxXSPCf>&&8g;Vr1egl{%&Sm`8#_?lZTql}eMV{JLJD=yAbsxK_%KS-!L#r}% z?#MMhnbp8y74VzzL}tKqj^svbZcTYt#y;TJbvj+E=Kl|kZHc@KY^SO4z7@Ph^EQ)3 zD`T+LuR<0WSMdnr9oB6Ue(r1H0c0-W=R4SQJUkcw6B!V!lksq8Tw5?co$GuW`F4JI zci+&;(3W_)DGlFmD*k>P{&xOU{cJbp(-r#F#o4H}>vc~zvV;zh zZzBECwAQo)-$A}k2R8{`4k-@m<(CXeuUF6K< zK=A|W4a9nu7QfG^yMHcu@$~^ea}heqe-*Cgzs7TsYQ>&b^1;`2`=IlJX!+H5J~GB! z2Apr#d{R0t>!?7(*Bp~y^y&9zcOI=~_iL?3_>Lj(&t*Q|IaBknJujcJV$UP}_&~cp zSIbAf$T|>nKYcH$v0zW*?O%FNuo>Q0$GxBpxa+%-qu@R)yTD#E&HKbFo?egX1)m>k zKd5uT^sf68(GB)L)wlidWAojLQ+!t-{*s*)Ew;Y%5u*e2IMTzn0o5$*(ZF6lzKe4y zXKBp~{*^v$%O*766Q6Zm2Uqa{VdfJ2RJt?PMTa9y| zyMq`o_xXkM3t_j>&dtJTCo zXe;%f`dm-7!a?xRpYVH#S-WkOJZb*B+ULG4@TV@mpvfb1w<-5J*Xh6L-jW91ejLC0 z(`kQ-ebU~(aNyg`f>-KiMf)JS$kv=&vNgyY>m26ynSLi<`n|p*+hqKT?Qp(xAGN-N zy}P16<90t|J%@FX7;C(}OEw_JSO?=ci-$ahW%!Ao1vkp;U`mgOqxrj2jAdnRlriks zN!yUUTaDg|b9w1ir^8ciV~NJO1gB5u-)IkpVqM6v`)^N|Rz@$ysl>bVw>R~DTgeUd zw;18)v3HE6eZ%SWjqmMb+X6XakSp{5Z(i9^@FB>ny<9$(X zwN_?$C|&_x=FdwGq_YcN176G*p2fWf;N-lZm{$s?e7;tiCm1!|Q?aeFwqDNnxTE=c z&?0T$V~aWyNIWb1Z!vAfo4~_iyRB84!J8M?Q+b!4Cfq|T=9hpmCxO9#!BE^rwnMhY z{fAogp{K=%IG*`l!iWC`iVOD`L{OLQh|-+ZcIV zvLu;dJcnD1r^ef0NrvFx^0=w3`ue8;3*Ikab%wJ=1wo$#+2q^%j^8pcKap>E*tE$#?=8()>&Q zkI54AGUvziTlU{6^JBm4SmRsBQ?g^?krrq5KN@8>V}GuV{ieVZeL6RRbpq2L_ciOq za#@X;Vs5IFQOCz{1bygsrm_LJe&+w`Y(ny(ID*MDF@myu490s)jJJqkj;#&0%*Ow& zhD>}c%ETxzbcdVvVYqC(AdwBPZ?;Ib19+|X&B6bX22;t2eQO!zMC%cflW-q4|2Zo= z#aVXMXu0*$#(9S5zJX}(RNwk^b?ZAkji%JKH4Kemq=nhV*sf@JFL10~VrA-EOBs!M zQ_5(P?=n@`yCknkzDoA4=+Cys{yL+PWHic`-d(;l?+@!S@JH0k)53^yWiU!|)ym#Y z3#%IJox$S2=x8xOw|C;pX=K#mUGnMRCg1cOn!J}|I$yKCBpW}eOcZOB_{iWk zs~7(Y*^`_Z4<)wZH|dMTuojkNhjHnQcDJ0Lj(It6x-l=>PsUtn2G4aW@6(O>v@qhB zt4vv!wi@$kVZ|{wSWk1z@3JvZ&Y*8G=IQ>OA~vG+G4Yt@2iQ;JG3mp3?3rC0zU^Ev zYTuy}qfO!^$XZu2M;P$$#H-9h@xAsle=dBlL`VKBc){jd`1UGO$bZ5wm#Pf#HP=v? zrWo=Z<{HGcYRomXztH|O*U&fX23NjEe}G%O_uNyQ_Z|ESVBgVbKgGv%nfwoIxSg#@ z>`#7)@iaVDi~O4A8E-Lu`lcpLA4$g4Wy5^o3NYh5!uel3VB;Vk=1_=7iT({6ygjUk zF$OxfqG{hvtFbn{0nC1U@3^jS=b9;<_AOm!Dw^J2ZfmthQ{W2^Xm9kj|BEAi4;c=- z^*v0V$H9Sbad75<8SxedK@)h(CKYZNd-@Aw}?0RWizT!U<|7H%UwI9O` zSjYc;cIOJ?g=yL)-rUr#d`-qbwWm|I+dDg-p>`E_Pul&Tv|G@#kRH9?R|#V zQhuGX?e01Gm z_*8nHgFm5r$Vc&|^}dC5Y&}rQ=AJeO0jBeY)(WgX{)qZ!y5lcLf1mLe=#s@s! z&bX*!0Js_Md zFttq*U-);_1wU&&iS)28seSFs4jNDQN88gMWA*4Hk9YN+neb*8V}bnpdStK*z>_U0 z$z~l}QrH>tim^!Ioqcia-bR1i?kKM1c1Qk}#|8!8V$AI^|3+e9*wI>Co2*AztOXTk z$8{2?+TuLXVlI#^madMr5ctLu8ZTr`>@B*`YVOsqF)aG>@uvhtiw`Uz%v?oTj)y1 z)$tRqy(Jpi-Q(I55qaTM$4GsZ{OCEt{L9a|u92`eg9-RO$$$Mm$B+E~fAMnO`K#k) zjkS0gy*Y^|rWhw5e@JIEepszX z<>K4e{`ON^^LIZ&YxWvbt=r3&O6Rb(#fcvg*K1Q>zRsF*U2Be7=UR=8*MF^Zt&Bc^ zZ13v0&gHgvWzg@w|Jm)YuOspuhStl%+S8)OJ`_uf>*~mK+!q?oiPidNA9}>ki8Va% zH7IBM0D3*1*RQ!0c2jF1)WLT+Xg;gbq;Epn@jpy#v(n@j7>(3F!S!{~V$RoqX>(&Qsm@R5A})ECEH^*nD%|AjR(eJds2 zva-|pI+T^KBU#dZM16mDs`aF+6?0WR(Q0IizTvIp4^(%2=R}X3dFTVhx3oq*@8oOL;{EJi);X%so>)RyYYTI8lMDY=9QwOI z5_qNkpw7^+Z<+Z!@)9g)AjJ;Qi5o=@Be;X zu+*OPJ#$*)Y4L=3HI9SZ2&3h0=pSw8p!-3|dMbIQ?*-HL)zXJf#!vQl(Nt}<#kLg3 zD#Jt;ri1C@;ritGTmNjo-@9<)P{+dq>=_n6sDIkqXmiwaq48SME@N!a$u{rO_nh!l z-SH8GSatAV%|Wt8-5rNdvvc+e+kY5D1x)fH#v>`ABJVelD^`^wvP zH1^llqb@37zUlP*uM?QPuB+e!*_{;T7ab%g6-}52}7;He-pM)&F}ddHoad|JGVwzb_k4+b}trR~a9jQ$bg49k0&{&)Qbb zimb-}Iv@W8d`rIWDXIT+_+RM2U&Qx!$Gz}>AItJxMg8yah30GxJoTQ_^ZE3l&KTAo z%ElRUlL4po@G5A%a>mf#J`=y@m&@oE^@N*80c`scY@ritdSgAlOsYQT#}<(3!}=kN>102X(bC-w=GhuQ3dG9_aYs z>G}65SKys(%D)@m1+NcYug#xpaP9vx{?E+D`Mo}ZkX@1b5x`piTZ#eJc*xMp7$eLA3n=#!pt^cDE^E6`yK8z6`pO}3Sf`xmYGp5cX1+!^ zJ%urEkMLWK`$tOSeimg58F~GtT(~)2V|PaxXvoRl+U{iRFPqnplimDBPT$*7aTo}`bNM9WPf1Cfy;{S2}cf@|b{+apT{qf0ps2=x1oiYzGmVGi2 znVNfuC+BxhXiR*~(B<|t&&S_tm0$IIe7{!tGh)7-d#1avc!!pIE4m*GpE`Sh_M?ud zIIM-hBJCOI4LxV^{EOPZrtWWBS*6?ms8431PflacYISZlF=IaSq=nf;wwQIsvOFw3 zBY!PpVDhki8hKb3@d;h`PVhh2slBzi$XSrTAagGgfVk(Me=(@2)*(=C^zXnWGJ(Uz`VaImNt|QLMkw|r9``d$^sU{uD#Urn6aRnfmZ3Su z|KZM?y7)h-=RQLH3)%Qn;W_tx&xMbk3m-|=OS*dRu4kW>|NS4qH(!9}=3^muvl?@K z<5^@x{FqhH_04|D-d(?QR{l8kFBcyP#-?A1zTdlR-&y%LfxBLC8As0M9v6JsPsLnK zX5zlDk=wHg&l|Zl{+F(JfBcUhsC?Png^b~mTe~M7zn%Q|lBTm--Ve;$&US}swp4AY zo@^%j&dg>iP4=0z(`+x=>z9izW7rP)+g0r24D4eC`_Pp7ISW5k;uZ=xJx`qFXATRol~%-hI3*|e?q+`dxP$eaU|BnBH_o<>Sy=^h)!H=i9lgWSU6kJf{+z!T?74iXRiO{a^CbS$w+zzv>0EU%>VZ-BL0aJAHl+hwumXK& zHl=J6Ub!fLEx61DmjV{!P@#@u5|eQMqec14DKEO{SJokkPrkR~CyVm8`#AlQy5#z# zjnt=JP|_tkC|Br`^Iw=>6W_&4;@{fnTJ!bozhXV`Rv*5Q#d_SIej9UfbcyMS+S&Q# z!WsF=9z=c~g>H&NP7?zfOk*7KGv!B=Vn8;xz>lbZOFEiy|5n4Fs`>dMq-B*x9HcMm zh)XE1SjWht=zGdkC}VO&9}6C9p4aW&^})0A`u+4n?XV7<@=mAQ5b?}OY?j+AvsHh2 zcK#?ZlX+U^4Gy9aK11aylQd&0o4)T zC3N~`iB9i{blHmBbewllJ`mpvI$e35$&%6Or-4rPf8n!iZW`#lIRCfQYe}a_pBHl&{MrH6NgAV)&+E81jcxROoA~_2OY*^;M_ch}A2(vf63tK*zuVJX4qLtP*l-`O~=o`s_(`u_^1X_J1w)a%%Z7|-oB>&?Q z&Sg2hG4h?2N1uJ1@}dRrhdU0uF#l+LFXS}x9sPZ>_L(KdcUBj^dp~7c%H}Hi?=k!M zT~#rskv-!cAfMyb=0mR-3#i3$6F$?G7jB)EEX?u0wT}@v`+6l_)~P_pGuAr-%Mi^eZC(_Z@J#5 zUz6sV)Xi95fENxI^GfvSu3tC!im7#(>+^LA^L1bA6Z2 z!7L`(xh#Jvbht9=*VIl7yN-`I)-(?Thfc>KrWbLIr-{e&!Q;8YBf_; zU61swKSm!lmyWd2{HN8Nx#sEe&sxl-6;oEa^PJ6@5?|bC^_pe*OmLK3m_7hc+r#@P zxS_Mq7rX1XqT8H4kAj%lyD}|3e9%D1Jc9F731Y{#G=yKHV4n3feFp!k)CjLr$9~ph+4d&zRerT;91X z|J(brJ9URjJ;G?iFR`&Crl&g+d&T4NjzrPOuCH2!M%U9vp?3*Z)Gm-x>! zN_yf;lq>YaSue~F^4?NUNWP-2?TfOadZH~c*-3i2Nypx>JpZ`bq3kGij(|_)y+ylE zb{wqcACCB@zP`@RjkrCjn0ub$nr+VSi0^6(dOzv=CG7t_%NsrfbE0=rwq?K2W!|q| z_pMGgCt5YxkGDOs8b5eRJeyI*`0ktX*@+)T{VrLvF=BqRy+xn@N2$-RO#A$r7v?XW zuFr}o&dkQed$pg2Jt9VnbzzT)wfn&Ge9I}&qMq8_Y37GDY*_sp89&*D<~?dJL_Us+ z9?DzHp2ZM5J6wBkRxUYHx?%^SO)49c^>%xH}T5>JbOcX{%y*( z*J;)<{}yXEJs>+rrq9u6b^G?2I^4}cw0yb$l+Qp(S zd1ZZ2wDqoY^4|i6*(CM-vdKPD;q%1&TJ%r)%I#2BV^YA*R^~kscH~3Tr5BSH-w$^{ z`xnOdf-j{@uvfj(t6y8`dWAI%Vkm9VhkwV){CU)C$)ic!r0(;3_YLL4Pq!|QU*SA@ zzHBW1is@7OUSZs9Z?gQ1WF9A<#>;{8;R@sGV|6)wxcs7LH|ZGT(gNxM|O{Z1v(?w6GB4$)3>+7bJe(5^GJ z;Zw-J?J0=$>F%?kp~ZSyaV~?UHdI`_j61B zj(G`xAMUu}+4=3UJ=?3XhPkZf)bcqK{wU`8z|ft~X>33|-wCgq4X8gme|v-{+zg*) zU30kO#jEnSMBFVOerdw#ORMtVCcov_rfd0W48FXUpTwfX`$iA+O3L%aT#LAr>Fp>} zHg2Su%+NQFH(CFl_ndr-(~B~kvHax~-7A)7pIk9deyg`rEAfY78y3$iwN>m#AqFz0 zyi2toCG0m4U41TQZGZ4N`HHmdi%zZWY1`GjTkT%7XK0Sa1*T~G*mLqqY`ZLnA1d+X z=+)Wy|N3OYn`d8`|D1Q*C$K(i_~m~G{b>KD8_1JSzCQR11uwm7b^Zgdx3N?YfBwy0 zZ)2(6msaQB@p_v}_282oUT<@$-ipqA*z0X6)tlcv{xYw(rBv@-o%w(9dOf9j3%kdA zyk1YKUcEE_Bd@ouRFC=42CuiRRPV)I`A5Cp6{UL2eO7zDD@yeabme=!-b+gL;J?LQ z?`R>yveJ^kDsXO}?e0_sa z$tUTq&gbVp`$TrK|?*W3&dw%{n^>mj&(dQLw^Z!Yjor4AatlYrb z{JW$TH0z3X44prv9qXFLj{U>h{Hqb3(@*!+H`%FIotJ-!GMm&e`6EekF3i-;$@+u<`eMUfyz}a%AWq~dG2N5 zsnY!5aK}4-J-;o~eowgx=1^MP@T-opghEu;^^dQf0jeFLb==^&d z@)rTac}w$)n&uDi)+9LO864Yx7UC9hE^)Zy2OIM95;*Cd1cUzVne+22Uy!d#`^DO) z!DXG;{qh3tmtK%RD=mA`G-aQ+F`t)~jdRcf)<-txvm%a#yy0ukh;>XK|HJ0|Up}7b zb>=FQc;)m9@_(dE{bNC&kD>p&*gNDg=1%t)f9HbyiE_EcEz14n1^H;X9D8>s!Mk8n z{#d!(vKHk&vMK+j%7IsQ-OT)S`d8EUQMckFro2IZjr=B^nY}RoGwK>YD4+F~`qkNF zdvJAkVGpFYn{?RgUzmRe7#F2_?eGipLDKZ?uhvpp`oBrMZ7_{pOc!H%b;M&9ee*ay zYgYG9wU!p+<;D14usMHc?62v%FP7}totyK2OMbe>BH9>zlKI-V@DmG~u?|#!MGKm} zVj7x#a&vxdnPz8Pm|t@;nk94TCYnvRzJA-&q}dG@<{MI)F+XnNA!xSdm!MhG_jsGI z&tE|Ic#KgzINFw5>}pP9&9?q&e6>%Lx3$q1zhhYAc$7Tlw_Vzh-=_J-UtXA>CLAfF zxlpfc3uge>+86gl#6`6x8vFi^Wpd|c7i6Y4nU{Oa3;6&}vbIb;OJj~X&HD0z4rq6w(=OQqpmi6GRhjp` zn(`iNHfuz~xTe$b1bbd1B>^ut#+z^N^Qhc4kYT z_BUb!)DQaF^d0k$_R$XCk)JqpLDRR)?}_Jk-N3V(---T=^F%89Cwj7cWES_@%;Fq| zS>5BD9dT!!XU2EQ6aN3Q?(y})iS)0{(KF+_3DG&se|(-|X&u$3JvOTIKR*`gzOfRX zZ?A@Dc3OCTduGrVl;u8?t^2_(oOx2!IqCdeP`XyciSq*x6S&N8Tr_&H4V-K89zd7M0br<`PTVy zXmbxV^*h3JN0!z5yHM{xw8|R~dG94p6%6{(Re0Q41c`#W= zgfo0`{sx1+<5>HuU$b*Q+xMSl&o21~p9%llKYQBHQE=`ht#|H>q5JuEe#gRWNOy$q z*ifxOLN)3iH#@t&8zVQXc`{&Q}`8!m0&v6FL}wq6zL%-{_E7ri>dUlZY9 z7v8(C4^QE~>&i(H-~5SjBA(otPB4y+oUsWUwdpzS9qSYHREhs?ntL@&t;cR ztn3Q!otK6D-U?@TT&c5Dx!dGroXf+Qv{$krJuASp_xa&{2KecH2JPE(XLx4dsrL*# z?Fn9bR-l2sLqB_dif0x0>)>HM(H-`jn~m!()Y^Z&<&n;r;s2IZ;i+{91)@!;Z9`n zu=b{6KYk{hhoe8EJ2H%S;Z^Ii-igIpIs6{CGhSci#m_}qZ1|Kgk%zQgypMzO*iU@Y zmatpZF??FoA>Hsv>ktpNcGg8ZE#EixRefkj_6nRkG1RoyX$s>s|Hh*eSz7x~g;RnmljcZcz%>81YaxqruT9d;&n5Up)6(dyHG)-+;->cyJ znM;Oh3)zpw&%S4Nz9Y|M4O^%)#7sZ(zo@sLdNI~pj30GmCr^*%YoDcz{2}ljPT=-R z2T;!Ou)E&dgZ{2L+@y|ZkZr$og7dM0Ug^i4Ts4_C1r5lz{wijO4OGlkXYmzvu)#Km zgZF@K^NQwt>ak8A(lYzD%=7);B+v6c*mx03DvwuzlaGO7lh`i9iL@BA+?$?bUf`7G ztDbPOw1`v8FK~)^1y22(QMe(-fuU!C3+YCmoxofZ?(wnyVC(g+`WpM@`^KBk@ErEL ztg6@n<|w*zxoJ%vf2@ulW_u*#UcbJ`1G>{nd2vqN#NP#u>I>_*p?=EZGGQz+DD1UsUO=K@wisy{^_3VPCw&O@qkukenuJQ zCpNAlbGj!+XHA1={O)1O{=tLRMzrzLWA?6lO=6n!pPuP`$8W(#x8$p2zd~P}pV}Gv z9g(ln{Yd!xb$op7N$6x>MyeYp@s5=X{VwC8IjZjWm0qhb7r5)i*`51(mL4>GrL!3O zVYf>?y337wl<|8F4*bMCv(RmWUXJ^y+ZPAD)^wNLp_vaKf9pcdmisk)$eCfUVVtYl zc~~py(@N|D^DljSc4BQdq&rndR#x&E_?3Ua_=#>h4`1!u`F+eqx)Qn--{X;9gKj#H zuj$Mo=5Tf9UHWF+<)bg+{c^!1ueO~y*hc2D8)M&~L9fTy1Q(kl?ELSvb!+o>yc1mY!E*^lb2##-*n3 zAQ&fok0+i%j-H$#f**DucBLb}e-RG#&%a#mB{emkwVb783W4;Sax zrs)s<3=0# zUfPd8tD$SG%q^iz&^3&g$}MYA?&cQdI$D&wu|+w}jmqu5twp)67Ugy~${D`b)ORbt4%jQRiJPUPrsGk3=%3#WAK*hb z@#ynH{OSqv6n84};n5$Z<(=m)*piQw%ffSiotAYT>)n!nn{?wb^WBl35|4c|t>--U z$}RarX}a^+>$l_&rs)ZfeKAdU9(&i8{PUz|XI#fUG)s@mk8a{E>ErSk-_sbof(N5~ zy1g^Hf2c*d_^n`5xev4`r@4H&-MmrG{C(q>*B+Y@`J!@1xGQlKzR-9V@;*ARkTdCm z8?C?ev$~YKpqRhN4#$2DMBl;if7>M!p$s|$7%E#K9%wPcYK$3TyWS|eR*4y64~%cN zE-lKwUU^Bn>AZK<@~cQ+X1Xf2-%7vHrj`G_n(44BsH3%s0_R9ea4q~x;c0bV73y3} z9nrym`}(i3`>(PGXCrUj7K6#Yoc#YP|5wNKug#|a+z;7Ltn-^mnTJX5kLlmm{|NKD zNty2_|3?!zKTQ7rY<6g0_j~>$N)o zeu1uBu@fCIA=r%D&J}?kd$$-3|LMcooi?|mPgeH27G)#7|BkYv+r&+mV_Rb!@9D&E zWOw_Q*_>E+9T|W2#5Z=5tlxE)=;kW(_oXU9WTNLXPdp2x5*~4M=H^shs`b9DQqL8k00aRZ5i5_Mg9ftX2 z=!P(dn7Z$sr`UI`!P{0GiB*l#&l%Y=Jjum>2EHj!_QV;YajSMif=UG zdR@c1z#}}%k%N!tO-j`$A@wi#>e1(An=09 zRH&=x44!tzp?G7ObQ@Fh6+eQ0hl{b+*eV^lHCz~5;}yqcLrf?B)|8&;CEc4U80ojY z;2Ui;{T+|}q94`<{KeWacD*$%tRKJ1J~IZQUlI3Mgzkzq$MGh+sfp7@!?blZh&`X zE7R}A@#(>tcs@E18K}irvd1lSSCsj%Q}Mm(qH_n4X{#$eU$za>yXm*Xvd`#(@?A26 zPD9tBz;3BSNzdA{3Hd37zD>(Q&q6Q9vQ9_!Ro}OFo@{*QG>>mR#&L+L6yJ9PV`K0) z8DEWIgl#;F?k>hxV_(X1eEgZ(wm)QC)7VzidGP)7AMOQrk9SyXYc*rInsLB?s;^{E zh2lfRy4r6%Ej(|D&zs}(-SK%_eBKeCd3=88w4s{rNFYu%2HZ~8QSo`lJERAgi_g=3 z3bnBoT8Lkek3pvoY1(r)qOlQ9Yw&&0kGcy(K1C;Mu`9AYk5pJ&ddmly*NN{JNBxQI zwY%)`eXQ;(zGLXci@{f;PyqhKV=L;`U9J4KMiv&&-+oD7w>hbMg5>X7du5K?sa&! z=tP{#VpgKleMy{|I93q{EZytyZ|INCQ1UVOy4q8`P;)Tkm33>|Gv7;0{t5WX?n`{x z%1L|XjdnL)V)3$0ctLlUTiPu#4ZhHsl$LgLOoK;W>}l_gY4FQ7PrEIq!8A#{_x{!l>tT=yDj;vperNhl|h$` zEh07^&kU-tSK+hZZ+wvG1l`HB6?$mxVU)Tz{zfbVOmH_pLuKff*;nq#8vm5wyaTzq zwV}%f+I0_E`@!dnwu_LzHsa2U*tY>(V(+Yx>=|kUm&(m;clT32q{se{UyHhGFt#~( zdVu#V;K}xN(r3+Qq+h*%W)oL6`p9^3mNdKw->EOY@8s8LuTEO~eDs%|=v8~7OVu~= zz`jE}xC6F_JvQ+!uVjx6^RMwy;A;P!@e44mompKNUZ80MGb=KG(z#+OGtzS_?9M z=xX$FDt>q$?Ts-;1JTABFF0?ki@dQWK9@zF>6o5ZMi#&$$Y=BqH-W#!90wvl%g@*i z?kA85;~{Lh#zQz_t3!GD&aR(5|N5~DYPSU4-4|hL4~4-HUBx@V{0Y2sVnKw>n2ar$ z413tu&K!2B?E$~D$n(|qySa<$zA5k;Bk!@~yqdJ$jn6t$e!p;)-(r0Qp3)5WdGIWL zqv&P0wrVTQE4P*AsV(Hk+Dg)uW^LhzGTx%~8|8ncVTx>H{`ujl<$k>Uz?Wy z$%g#GDasGV^75l%e-CsV=Nqgk$`8l#I(xM!zw`z9v!^Iu)BaBI-uhXYWdD$hM zODdi_)t~su_fJV?Q`nuto&8eUJ7s*wf5BDyl=fx{{`S3v^#+e0==jO{{LhkpHSsw6 zk(+3Ce0~0>N!dwwQa+*CfsWJ9&+nU}e6RXNd8e7{#*_7}X`Xm!mF9^Dn&ydX(dBEg zQ|E@K%@>(F>W(|@iO@cX-Vd<%e@ix$%?xw2nY?Q*mR&bvyw1I#+#q55HVRshR$rgl zel(So&#?Bk<Do z&iH(A?xvdN!`s+1vN7UMd7Eo~Y@y9Hzj>$mL_d=*?u+aFBX`e?cLy%CGmAb!nGxcn zf?av=v|P{XgKhbYnR{N2{~YLi&uNB>+UxvOz^8VP<^#d@4o07>zKyY17i?(Vb+6Jk zgmR3%`MGK%dvLC`RiUjT?d)4-oc}$zXdHC*?8#ttHoxwi2g^r(G^Uvej7pW`T6 zk++lfHGe;Ug70N|;F%uiD*B^;z%9^~H1UJct~7r?7rNdM{az~r+;)xSM&QV|0TpwI8Z}hQ&Hz1+m@k@Zcw=Ui*aOiK_XPPGi+)O)%Il=9&6$ zbZuuI1^j)`U=(;C@4x3@HQV#P4?{=MMez-5yA?eAP_u=C=RPUE+ZcXn?ZK|wMN_q5 z?a*I;7kz#ReD9mlG3lT5_n7?JsAn`DwR?j+$lo=1_@l$M>;?KSc;@#JWBYFox99(6 z@BQQCtjfFpdv>xgONb%F7$78@HN?ysDexc=s>p^l4-29oiXs?(YTZ<=Vxa{Q3@qv* zS~D${`U6c+%LZ$Wt=6n!1*5W7YZ0}gRl6IYod85_et5JBrWGMjw!^J{EpdZdbPY zBb~XeUN3y5&pzh%;r51XSUEOk7teb?7WSEqeuQ?iJbOF6!t!zSgzJ`8@$%pLrg7oE)9_XnX~HS8m)bRHv_M zS2mgG@W(FQl-0gVpUa?=#+bureISRAyhix90{;>C)@%i91iQ|kZYx%oGJDU_!}O7 zuQ|l-jhHSIPiDNsF6446tT8^azvptVd(O06uEpS6m}l*2K?jbw&5~aFPw)`UEnmX_ zU5oohd&w17zDBI;d&`iOV7JoeiB1rH`TJJq!!uiMXnNN<$*S-{ zE~{ID-!1=M`2giv4kbsrng6f%|3CNt8~pzdID@I@ulE1%*)ROR*#A%MAO5fR|BrQr z|JqkB_seQ{{NE0!vClE|9^K{ zu})y^pW(DpTp>JUGpasj)8CdiY`ni-xnSjYzu})B^8F~EJ$#-^gERO%i_a!LoB15b z=WsrE@wu1JIG;KnDMZ#pvqSh)`K;kHz~@{(gUM$b^@@4oE%*jIv3(l9_84A^&sZtu z9`GkMZ#|4h`TnEf({?%CL#Sgi$(qyF9Urpw$@ILR?PK&aexI-T89(~YPU;J??Co@B zPP*eZWcoAP_ue9Ug8uZ}Ya!2B9M8-4VLW@lW7hH5IxXX2e?q(QydxdYS|5+MOUHBF zOyf!Xw*j4tgdUX=u&{gM=x^;=-n%OIxpTc0WpCH2jrcj)w{$)?yQ+7OXok%S{xR)- zj@?xIarC_T5=UpXuYmVB`qS#7e=6?7nSX*W8vPT4BRz?%OD9@=bYi_D_$L-;c>g8d zf%HZEWaA}#i4pfDvV*Q=pXbs&Tfs~37LPc5)Nx30{gM3WfVd7E4&jM z-)@g!TaJu62766b`^c{wITXfb`dW3XI-lnERIA+$;3U}AZXm0@ccyk5!X6#9`=hko zxmoQUNxL}ih@0ihVjqK9?JY^&y3y~yDLzT&CgONXI-V=D+Dj4~tM0cLj%U4knVm(uefs>$zYODO z)M*|c)O%V%DY3+je@nGUU z^ieo-r1SQ@m&vCNaY~$%=okEr(fk7LbfA7$-)Kp(32i#w*Ee}KIX&PK8>7pdR(wZU z-p$pLw(Nh&|Ch8DL_g$!w8zHx(3xyuGYzhuXSXtE zLs{)zF>i~!L_Qu+JP%G)`qenaKjRD8g9!~ZUna8=U)oh%cC0V$yS@jXDeY@Z= z`Wh(q1+824g--S{tlw_FEqx7m*=FdXv6Vgs@0|?2m^<4iBf8=P$MKE$_y)bt*iW1v z?Q62%X0tg%neIixp2)ZEMQ)aJpF^fSocz}wNNi8|t#eT-ldaPJH-2Mt?%M_La@T;h z&)5g2^6pnK_xfJ%-xr7PY)c7#WGtS8n>ZotdpEepAp^8Qr%!F^U%&k(o>k=AFc*>c zlt-0(E!5mmk64&kSH8;!x66LE<2U^FQSlsl#P}`dltrVkKAhaa(4Tz^J)(8t(Vb=R z-rv@kCY6UAFSAC}AMZygqci5RhTmap`0}HQawj?aBK-PAXfL|yoPf?vY%VX^Gkz4b zUCn0|^2ZvK$=_<1zs|lXdJ~x)++aWXTyO1pP0ux!DEBR7hNPM+r z$9iNb$n2|?=K~LNltE_6;Wo)E<&xR$@VjJo5cnpef~)waa|W3mf@g=|ZOM`1HrJc- zx8wR--Y@fAk7EV5DATvZbpk#2_9oNdY%&e)qD+gP${jeEtb;?8yZ6$63b%5w%eea2-pCeoc)R$qeBo}Ll~@a{cm8cwlfTcs zoV5p#QSCX~iJf==ISG73-SYW+E~YMX)p!Pf2@bi?sq1)FN}h@D?Aa>hjAy?_Cd7kA zE1mtiy^)i$daL`U?si;+$4^xszSTI>@r`-@&*1a~IPgS6H-DyYavtx}K&EYfNj2Xe z36Jv3?CMt9!FL1EZ-GZmU-0~ACou=elIdgVzJw3PoR8|@$-0i@oVf??G1@!8zRTns zsrHD(IVz4}B;uqwS{cSriDlx&QS&!9_1w9pHuG8n_vuEgiu{7FgSD_1M3z?^s7;m{tcGi>D1=*-Pqoi*6c=&O99ljHr|E zY1YZ)=tg()>?P<%>E!8l?FH<6Du?sFg`C{xp=Eov^pj6OuRI`Mw0vRii^?8X|8Mf3A#w9EZD zeATBsSN_OS)^376OWXD!OP4^mA9~vx(ze*7z0WZ{jNdT5?OJd9kKXnQ;kyGKgI}UQ zpY{cgXMbtQ#gVchrH~%MxAWatCs1xc+lkGq?g!UCdOxSFx-GI+^3hxzd>G9Px~D5KHf$j z=mPDN&&#;KO=ZeQ=4HA|hq6vDGx_Jg=^DmhzBl?U*6+brFRcv!OXy>jo4(NZiP@CV ziMgm=l^M+j_4^uV$n)+S{rlbFJF{4^;hX>Z*~Gnqa~k?S@;7o=jeb-a`$kMMacNdN zni$pikg?aJuAJ|3eoM2?x)>Zzfv=z8{P9i3ir*h_XRd6l>Q85Ti~Vg4{XO*w^mm>2 zcYyb&xHa$3=i0`ndx?tueIoR?8=l|S@on+`ehQ9~`9Dwli*u>*$p@sr0nd|}zwjyS zp7!PU9bKFFWuwm#r>V^wbE#Z=tlvY-)^o2Y5K@`S@*fApaAZ)C)9G-?u!8zTfSA zYp-fP=k#rKz^9C~etSZPBCVCo$A7$Zg=;+S|ahWmCYnDJRp) z26hJ<_)H(q^P_E{Z3!Fr!r#RP5+7Dt*s&gHAse_P&STmZ8~8l6?Qh+7t+zeU+df11 z4zc#$zg}zEw)T!*&uw*y`m%wU*FP-wH8kA@esdBV2rcnnTid`e=CgkS&q@dE53Hii zv;WZ9Y~Z3q7B&#F4qGz%v`j$P>xBO3i%bxIU`b74G-{M{Eu`rv$f3qq2mQCTiXj5K&EH(xI zfLy1+T8?cAHotH5Vb)ep!~fG>rfMhc`R+c^zfbb-wc*=v)bn-n0hmwOiqAIo|4K&g zKvssqPq_}sjeH31;0$w5U9B}+xp-K9EYEwf>Dl);Xy3-Ro^Og2h;n~BUdh;@)BeqRTKIekd`@wEUTL%Nm8J980g~ zbA;TWvrK1;xA2iKdph_(=5^)QrFvU+Dx94WKd!euS?M}Kl7HNXSVeqYe`|K4&aLbv zN4ZZr{ZQBG;arvJzY*uv3V4q&zVAp!isuy9tU%UQpr7Oy73PY&N-VDVjF0uJQCHGd zI{p4N?PHUu)Bn=jel~53PXC(P5>vIZ2T`Zr;%!H0Yw^G;>EZS|{U)#fK_6d+A8EG# z@}q0-_<17ZP7l*-S7#@l<2;wwzv1ZG)h+7Vd{BR&SpVjuYj0>#e?;>~{pS?xfAr|u zr7h}@dHpB@IX<60y7uxG_3K{0rwIScN7r7^qJBkrC-7mB*XBQm|DB_2C%33y_4?6g zxsLwivmE1eJ_S0byr2G7PEq_?!Ux%T^<5`EKs@&#^Y=4sgU$J3d=byNX>QFvbou<^ z8>TwLcnO=m(EH`AsjZ*S)W&#-Hv4&-#k7&%RU%HmUiRP17pNROqim%y@Hffjkwde! z0n@4AoZ{v3arRH}6Qno(3%Z)UM+VK_ANmAiVAdmy&&j!13=F+?>Gw+6Kjbxuf$Pr0 zb)FLg-@DvnUW+LyOJiKsv6xc+fPTvt(6@X6eajcnw|oJ8%NNi$zCfM1GaRnMW>Yo{ z511doZ}S86Ek8i@3$f*;$M~8m_CM0s=B&4GQum#oe(1*0(;vU)+tm%vWZi)AQEtyE zudr94yEBa2;?Mr9wrO`mhU56^qsz3=nW@zP(EO&hnzq)jotVn5)Y5aGk? z(`a0FDVL;ot-=>^{CeIc8Pl_bmThCSLJqc= zhs^g~V}C1_UqXJgCavF}ZRBCAZm<7Tbi_ZZtUqNE93NNisqQ|N%C(PQ-zA=p3^&$O z$D)q#w)Jv0Dcd4iTYcKS9$GiWINxi?(YRnjBl&BehA*V!-XL0wo=38ep_}-`&nIJ- zZxZ~v_D(ENUKu=@-)dZY6ApKO?L^8gcQzRDr+%jQ+^H{LFFxmJ^oGh8Wc2TA_JZ5n zN4&r}TWGb5|5g51N(ao9yjcB1p@Y@iI9fulyaHN;@@%roIO{26Gug!ZDhd|W-?@^jz!eOr_>PYVR=r}%d>!gc>tW0SAGYl+<*x_e?pR$Cv} ziJ(!%`xm_@fG@puuG8Dr!1qUQXA z1)jB%g>P%UDvkFGb0b-het#TXB?|-K5_OBoLbCq&-z5uwdQ=-(I3~zI?~%^O;2Qau zHIg6))G7653wp3y73E#-Y3P=?$6_&KkW84~7LSpimu&SODPHYmua)y&Pjk7+pZZp= z|HvSJ#%~w@_ww7Y^P6<-QQ(>CuIeo z1wZw+zc1S1ubU5+idU938awWUjMZ|pP6`-BH?^m)v4j`#y9&eDgs(eJ(9?-{@p zjdR{y)y$icXYD(zQd@g&^O}2R%6L|i~a?-1GsyR zY{Zh_{-##?O?!nzpJq9HV)=BPs}pT9aKt`LDVB5e&_t;=}_T?gJa z*NS}wYbUVQI;{1AMR^9_kqh0VwW5>$qY+~b`uq?27!9su4!9$(m*pFYCZe%DkMWcD z+YZ-^``==)LSw7_FvCOkAJza<`r7sk+vc0Xf%N4nxE3GF5x$ZES{ zUa~-Q$?GZ5{6TMr3^nCUa+=DgkN!G5j*J?e2RsfP@3#14TPmLeQ9kv|-|dj%tiCTH zU-K33dxG&99Mw(cFw#}B66ad;nSN}3LOyL<&qq(F{q0X1d=h!V;H=0-pHJJS`rA*a z-QJ?U^+kQ%_h5Tn#XIP`2(Jp=Br|`@^IT?#gFi|GAM;{&^Iv(f*Lt6_KPl~`^R<4$++1e! z`VM>**TJ^G0-3V%TNrzMKUdTt%u_YWl4OsxUbph=llAK^)(kI#`L13 zzVh3xct-ToSl0Mhw4Q6ekNPGypZEy-f7j2`-y{rS6-C=!C^J#t%c1L4ly`iPtd=>iT za)Uqf=>Ni>Sq&eySc5GwcaodWF}KohpQWwjS?d@k%h)R8yWPjvKK+x1?C0_We)371 z>OS>^+Sa6Qll)L$Xa1V%S5K(j+M>Sc73wc2)<5HfTCGKW(<{`MKCAi|QhC&GqoJ(_ z`uZMz;*~K6t~rl;_2DU#P0HYv+?Lup7IN|jPA|o!vaxY3Y0%4GO}Y7n!09Dc%6UEY z!5Zt53$!kI(hcUC)uF!SRpMUfIPYnj60jc^55P~x-|{!m zx5!RDF3FH`;J3jGTJsYxJex5X&5&cuL98zLm^}^OGRjKs!xidg)cwX#ID4IO|32q9 zIH!~Nr_ed_NsLjYmz#W0$#(QX-|G44Lm3lgA%D!dY5JW@j3)Uck8@MCr+EKY>H{|4 z)2DnL`ns`K5NL;MK76P=F~udr^e zeUiOxVu&MDNBT>#O*yN5{b!B1Hu9%n_qZ7CFO(2GM;1Y69 z^PA^e>jcgEEV*~@3FMTNLsKr!;-MCH|03`ZA1fvmEyq|-z{i_TOFeh}^-dpyt!Im0 ziGR`ViFU{D8*8GHz_N5D-=zAB(uk{_}DAMQgJ)T+4nzLhm;Y*c+U?cAiwELt;lM>dVIP(#n?%{&Ci%G(f9+RF*GdBd915B|97vu$?Mk1tJ!)_k~`Ac z+uI`!#9_*X{&O1~B2RqF;c9)U9S*819KPyxEpK1Ohl4%?*PBk7L?=CNepmE4^&Gv@ zr|0Or{JGnz)RyM!EjGU)k3JCBa|`2C?7mts7otaz3F$ZF@Db%eD#`kQ{3|Q}USpqH z%%!!WTeRuI1$nkT7kWp8&biKpYdx{6wtiB;S?Ao(0cX?O;4>Ee0jE)ME>-`uSf6nX zxJ`Yc_ml*I~4m&ejKu^;Awh_ywEQ81rq&;6uJ;p z|GwB)tDLP2bc++w)KF=3tH44fZvp#v^+gW>~s=M&jXIl9sbDy#31!!n{)MD^Eq4D+xvlxeG9UyMo(a0v$5G$#=Ro;9D99* zo+q|)Fy~2pPvL@HO7DTR_$0BJW6=(Qm&I1cHhgW_&Gmxc!fwX+)a+?uH%Ah?BYMm> zR?VG0qDRE_pRqx@_a~?4EMpjsv8>C2wL26$pNvKJ@jAwWezbGCaULTb+qJnowz-|S z@V{Yf_a^rB+dj{&bjKAj{|wKy)17aCkEPdlL|V;*hVJX8y!Uz0H`-j_jrg3WJX~Xa zL_BQtp-$TVAQS(m=&&P^BhjhZS8d$?w|5`% z0XEJSaiZd9*_=!88*fG)C2P{n(s`DPS%@#oUY%BP;v1=#<_1dO1bvXkNs>eP+h@eJ2|Z8xSqshNYoF@<$Oo1luvnG4BW@RC-=_bI zVaefN^0BO;J_-+1Wakz)+6_8R&uZOno7Oyk+@jrpw^RPd@Jsp=4}3l5 zzY`wN_$J7ahzGvvIXd8HdY;(E=oeL)!>02|^wXQz#%iwj zL%uSljeNi#3T_MAI2OlPu#NdR3*%v({pL8YY0gCNmu#CeN${*kJe?k`=2A9o|7#mI zE$T9(Av9{&Mzl4Vxjo^{0{)zQZ1Un}->F_E zPene+cv8HN97mew<<4irjX4NsnW;PG`c<}R7jU$XTXcT`pS*qCM-kV7Wyd0)y8agr zs=oFd4@wUh-VNP5;{6QxGxedE)NG>1VmU5?qZ|dWl;5{Hjzd!&4D&a6@#$~pLHd1J4ue9$Yr?%`h7WQW{=Y$M6R;H$^n06CGf65NKJzPgi2 z`|-{Hr0xW??z!mb+Pb7}J@TGn6F*y7q{VN5k;W;nS&c3_7Wye(Eb42zY&wP$R9DMzleE4Y+p5*(=?y?Q|4XsDw~Ox;Vi%|3 zn9rMF*nGb_++U&pb**c1H+Om#Sn-|4DxT2!fVN}i?B>`*4c@K#oX0s$V_&TgZ_xb4 z^%vpx+16vf4cqxiAIqECj794-+T&3@vSfEP>A%)(?_ex*IoF)8&8`djQDeDqrm>8W z|4YVF_xB;CbR14(GaZ|FKyv!leVEg$d|bYk8)WsC)^yOEzTWE}4et5;t|AzBGE1vlhbUw%7>z;;}Xq?_P5Otn- zDeTitVz;3g?$ha6oZmSa_vmV0ru1t?Hk0_F9`~`qLq)yvW^&7_@44M=J$H80mL+pL z5OtGaN|uQu?EayC-ZzlUA@URAE9&vyMe}*PoL(0zr#;to?aLeUr?NWwu=KHYQ}L`% z5svimujogzeP)D{UAfHod0yDhb6Rl>_jc5N@?b;OD()W|UD7c~7jswG&ZKUnk7S>_ zx6EH?*^WEOzLT_zdc*M2JkQkj8*6G`Y17tt#M?>^wI0wkKaY0Q{w`@-bvbK^BV+q` zQnzVrht52-^19!Cj7E;?N5@nv*9CE_Dk+hqJpSKl$Un=7F z)N<|jlD4zqcYad03BQ#ydpjoqV0vM6!+#xm!N0W&wsKmA|3D|`Y~TpdF>VGS6{=IepUa~S2X%Z z|1A(cx+`09IiTmRf1}O*-6H*8cVO+u4>WYgZ1n$jQn!izN6t+DuO#iJ(Vw5AM9=dFEy725t)Biiwndz^7{@nZdDRUeBdZWMlk~#fvoQ3|3O|*~n|AF(U z?9YVs@eR+by{y|~(8Y5+2F*O^>}(`6;!3-$|}7;X7zy=Q_rG{Y$)9Igzq^ znrT>qhO#dg`q;GB(s(o4PWp$h&913jxdp=!-G5Fpf5To!Hls4pRWrLkH{2JK(`9Y2 zRUeA@M_B0SQxaIQzgDocXR6!byeq|3@m~wuKGfXTz1nlVD(P$3eO>Kq?J3q}&-LL+ z-N@S}MK^zc^&bsXx`y8KaXJ_*H#+ z9H;hcX@3g*__JL>ADpgsE0|x8p@*a2Im=w+{>beKPvDP~4tm|Pj62WSgS>eJNTF_cu(uRs-KVJqH=9G8AqM>h#L(BQ$88FAM-1DeMb*= z?V6-+aU#D7AEpI7JbfEbH{mzr)lklJ40h`rRw`*8uV-IS89|6Uts@Y+Zb2Sm-tQlmo%22 zfsg!wyOMECu&=fQ`K`l4;Vi-0Zk;7i&Pn~`ym)!J_RvH_rs90piRX5ai>w|4-#Z=h zHpAuG{WG=c%qHJoZ1cf#?dvnOS(#0m9#3)GR<8a1Ol^+LCa*2_^W}2wQ%RfQn0tag zR~GA%hxp61ZZel{-|p49qFa+X)9BNcO?rOQY@+G^`^&XWGqstQO-6oRwl|(Ue8?qY6XE}$pDB|KQLZA^e@lnfn$rH;zaK;I9I|^id>>?f zu6T(2FuCH!KFRRkaP4-x)API?hFf*-76f1KFI~KP7$Vdp6qi{fyY2 zey#lxb825q+Q&Jla95J%;IO3rgzV%Q$JhS0MSYE>`%`m9b(f~m2KZM0mB-g^PwGcm zvAe@%GiYOSEqcZ_uRFf>{x)p}yp73qLZh3UMnA;|NO@Mj|4n{@;K%v;^vSjB6Zo^u z*Y|0k&ezsi=4;S#`8w@%Z(8iz=#5UlH0iq<*AX>e@+S+t^10YP&eyZ&)LxRbkMqTT zg~{%D9Zj^f{+>Ulc4|^Tr$6m80MH$v?_&es{z# z`i|J2)k%NVcn4z}e!M=mk8_V7wj^mE$HyIzdROYG_TMz|*PX}L<|p;z__zl$_))Yu zuGr?@<7*vl+8BS)W>vAx`0=%0{%b?V(|!g;N7`t8EbUh~+x<488{^Yi_%i37E{1NV zUo_w7y@5QIqkgGWi*%0l&!K*thvK*TsFcv5zUDXLxzike3qN@!G}qdH?B}5)^v+fK zUO*mM@D{jEF6bl0LD%C4ZDSop`e-3=;ut3sN1t1<^ZvSTUgLZKU;Y{3&VAvN58!WD z-DG^-J}&E1WAJz??r%(B-`m5Si5@%gs|+@FX1-u!>mIG4kiR zb817$JPyRY{cZSDxdO8p<)Qnu9&a>bE~55JVspr@6F?o%;7hiBiyZ&2@`OUF?4|hrw#Y4lY~NxGTAQ-^aSRt7P&;-X$M7j1gXLo47)}g)5ot6J_?r8D`84~K z$=T?_+JE%va$hd`c5e&s>a}w&z7IhDTNRq?eJiqydJnqJbh17d=J=4#+Vzn>&^P6W z1Mqk9de7>tT^Z{^#{rkm{CQtz?TzVkpQrpeyf~OX_gEr-P7HNX`aGUTiFm%WvvzL! zJnjvN&++}vN}tELH9jXlHV~gP&dAFHP8-dS?1awpSk4?sZOZ$ARuj;I=OmK;McbxaL#h5*p8HXjAS>&)jDp=GtJ#0siSJeE4&F3P1AyEOR#E@G&A` z|J+Ho=DMx)3cp_wzNtoD1s1dn&&Yu)Z<(ExP3atK_|2VC)X}>s^Lo0Y@zf-T>ip6H zzuf43A41>a?|gpzZ0o`4_>ixS>G-02&N99?dLMfe_@xu~9mk8j{eL9wHD>9;hgBBk z7x_Ln#V^YLEcgvL{O_gkou}`ktd(BQP@N1u*MDozKEBxA_<3D6 z^|}<_Gxn?f>kk`xWh{Yd^*NKIeK9#tT(n>9+cVW?Z_wFk{mb{O-ILU>CvumcXH00J z_ms)c84wJ{Y&i60Q}J$t3HkZ&+OPIEDa-`td|pl~*?sOg-k;vD_OaR8yfFByc^mBO zUnFg!eK38X{fvjWzBneET9A$zyZg?h-87o6&8E_|iYM={B>QDrq~ZTMP>ckkOM<64m&NS3#0>8A0PE*_(^p`y?YwGr!vi#`Qg;P)%!rV z+nS7cFy!l!d>Q*;r>-vXuB@yET=qwD$F1+Dte5$(J)WQ9<9EhI`l(#+iTRf|g?Lo| zyFV4`cQcl$tJm_blDK!1J-5Vv%7M%GGJlNq8{wmzx^j`}KIq|?XQjO5zFfyM-zv3wG4i4{E zE4RNZB&VP9pBe+_|GEUP+;vBGP2ZoDh=*SX-IN>6L^Hl~8Z+-BK9+dziSiGI<9w&t ze5V<3xW?hIcFo_&UH)A+*?r$#ncYRCKJxN;&1Jp2uKsqmfp@AF+jj=tWw}|6 z0UXAmNwcq>-21^^G2)*|Vwy?LPS|%&k5&AaPW%Kqm3QOXm`?REoywS2H}e7eoI~tM zx$(iNh5gy^lF?UZ1{5zQd|>MuYIkT@Q|aw#?A6dZc3pFmK3}-?i zbNLk9O{IIjte-<^2aQYLI=#_O_fo4JHp=EP;xC?xxTN?~&U_e+rQdDsS$)u6{4U)} z%o_Ry7yG{?!6T)S`f#6w{dZIBc`%+f*@pJUi(RzEugl=a3E;G>GtcY5pC*e1eB1WH z{LR`&tW)U2`hovU=HW-ZucPsvr9{q$xMN}HLe>q!ch1)>blO(p&)!5nN8)-jb8T|S zdUM2A{(<()=XxpHWy&V_=v|h!XP>z>ewQ5Q?K8V;U|PBM??Y!BTd_~Zul3RV9-w=g z?hKZ1v#Io{byLHaq1*c|YTq|=RB^s<8k72t^H=N}9*E-{h&-9pksiYD-PHGDWB`5C z4*!{8h_0L|*tA?QTz?rHY>mw^di@sWclBrrK$}EYjkxUDd9^dMDV@zyom7VmMjEL+ z(ILgQpYXPop1#rgYZ!z2TFLKA`TZJnEBNO8$b1h+xR*|UR)qcMf~~Qa81HK=_TOXU zmu}^M+yf`QT0$==KEnn~>3zgDPq#O0n#$x)%jb&s*lBL?ZK#jliv3(#=!gF;`&mst zt6TI#ndB<(C-uQ;6X{$RuSb2$yJ4*yI!pK3Z|Pb1Aknj%?A-v;v)C~9HkiC*pMlqq z)6zl6i{w;rx1x`wPnTrju2|{i;#}aL)T6vZo9r&?uVPH-#|Ks*|L9WQ`8w5e;3?gL z#eT#9({;4ba6WL0^O(Yg7A@gYJ`FCgY(C~YP0{O&C9x5VPh;}_WjAb&(|WWuI;dWR zN4*KkrT@pz^ghn)o7y|n5&S9qhWwqaZS<_|4I0uOxBYC-x%`Kw^K=EBJ2)@kZF`8| z)vbERMsnwp{9E1~8_xRSt3GgPR(r5Nt39+Ls}W~~b7+if(8vE0_*5~Fd>_V;s zW1p1CPUP*|^*I-wP5Y!>-e!hAZQmufM`I8E;)XqGne=X{6IhJH%4<%iIA-*M#w`5P zbB8t4#qIZoDc{RkJ>G+!O+JX<_7MKRt;4j4Q?~B-(DrCoBVUe0UB{SZr}8@U8oWE~ zb1c8M5Bx-*rn=E?!4H)Pk9fxXYsO?g8Q%vL+D1AR;gx`g>`XG>liD-1lo(BPDb~vp z9P@thyYhbVk3`dAzeWS*q6n`9JjIdt74-XtW#p}_-yloro{Hqmb({SANX)y(^LIl_ zc|X16>4NP$cOXw6L7s+?r%SWiO?#)Wqi76zhx1Ft53GO4zG!ZA2YExzKGY<$xqX?N z1)YjsmyaA}VL0Z+(4XurF-F-_&=0mo#(u^>Sk`yQMP|o^%a-zmdrW@dZM}CryXzve zSv_kmS@xDVX7M93rdV0JDSXpb^(i;o2%Qw8>bc-VorJ%3bCX|AE=_(G{sy{|PxQAw z;l7nu8UTY?iZY`MG$Z_wdsUy9io+DhNrbMhPYXw&j?aO1b( z#y398B)L(`RaQFv8RO8qkA%nfUmtK3?AdV2X#bDYSG%wC-BiDy`Oa}~#zFnYzI*vy z?c#kP{f!*s)YTnZr?5AXf5mr|d0DM;#kGGbnpsXnFbebYMf^=WlMg>yANWA>4Iiex z+H_f8YRCP-^qIqvuf%iVLjIEH+-13nSjX4K@_GrKqyA`mM*AENb({L&zn*Cxw9d|Y zz2yysr|}Wb4CmMf{z>FJjm!4aC3PY!b#?0;az<|R4>Y%B z=tP^yUnB0LW_=&N@Ar7FXBlI%I*i5Yf%{m(_s^%E_}+55f+affZS>)rJz#nJF5oKu zwCD4Jd!;sg;`FM@3nERW@pOQ>A{}YL88QTNwS<*c2EN#5+P0XA4uj`@fZU38|^=OXg zW|JKUPzRacK%Je)9roB{sp~%)buTGCn`}HgpJ&#FF=bnb9e{oP^03G6rD}&fhUe@F z;M|d(zbLlBf7aegm35$hwCC_tf2RG0qC++@-=43f+Cj*`a3j15>m(z<-xd9@VqZ}n>8qOdMLyB` zO76qcm|`CXx9H=M-?9(s%t}w-sXG{F^{Qv)bcy3oA9Z*^`cO3Kn746Mc!@85^4d1^ z+{ZCm|0|z-|Nr>k(LXs^$;6Wx|0mk@kK9LoiZ8iU;y4Jf6}HkA(l4@F>Wb`0uyEgMNg^qf>3@k>D}r>)OT# zE%30l0qwiRAFrmgYf(2_N(XdU%k^!07O z=x0K|%9U5d+qX2<6Err%$@x=f&a4f(VkTT8ogwUU;FK%Uy~KhM+@1FJ~O$T$wxQ9|Iq2Xe4{ID?~rIa z?f#!ayd!_l;t-vWBWBuL&PMCNLH;Jm)2M8;j=xq$cB7m;Kp&MkXeyb?9V(hkG{uu1${TE*_Mn5IJH;mko z@>He^k{D_$K6fuZc$AI$0$-DoFTRpFKY?{k?!d~|iP1-SKAX4$nuI+t(gW7?krml00=R)3{W2 zOj357mmQZ)X%4Ip@UUE(So=|EtNP$miQ|pWzR-A<_A9-*xxDPoyg&W#_x~E7{tx+ojZOb|_ zZ~8pR&PTnqnKn^x#k%rMY<^a6w0oi9TRTr8y<37mb~4w0{2TdD!6%7&IBl;ytd0Aq zeefHQC$|lEW_LY3tO4bIgzu3l_zl8OIzGke?Eh(;avx(KaKb)`PDe(Z`2U3Hr22lh zQ$5ie)994@68nx*Wfq)t_P*uZB{)@F*GdOPoGRIxWfi*FM%y1O857OrlZ!UNM@jZ?^=mC_&eo}NskWIu)t_>yx?9No_i%@MoTD^$81mR* zvBwVjPd)AbH922AJ$85tIL{V4obG%w(!b1eDxB-q{i@$1M<4g=u7HmVIZ$#-qxeyy z2Wp&*V@p5l=_bqM-aZ-5xNYqZ>*Sng)}7D+&xPR3c!l!_ZR8)T@163GMY|La-AA=A zc+B57JiaJAsB84XF0{i#I_X8?AI8``mox7-xUIZwH}A)0UjTLqo1yP$Pnf6h-_QTC zZ#eLqe7YFlt;Bc3SGBXy@;Azv)`lKeJW`pTo$yGRdoox*JpJ)wYn3cJ=(MXoz8(F- zUY+iLHd#-2VHa^+FM2-epBSsNmp#OHi$i?3WoW&vcgiM94{Oh6jKj6>UGpOzQ-1B` z&MPU;&Df80?UU%|qn8W!Vq?)9wuq6$m%%4WbxmVG1$%8W?zPFr`3%y*-u^PW=RkB%*>sQg zE2aE8Qf|&~gcu}Q*C{Io3I5Q?&=U04`NRhB>k8*rz0a8#1ltk#^>p}^oD=-I?et>~ zZ^^GC{UJv)(tkerZR}0dd&qp`S6dIjK5p&*fbF*^&R-~x`9RicOrI>-E`B|Vv$3X+ zXXs}*-pi|)3fm%h>APw2d>3&}JzrP4V7K+_IRTxAF5+2HJacMee|_!m5Zjavy2SQ;ZXP;p&-hW==WyO0 z#ZWWRQ#fdDB2BkJ(;sjiaW#W?UJ2UrWYoPJ5&Gd^j%I9@)gV)B7^*EGygLYv*DP=ZS#LZeqR2{|8 zHb3n15PYLkG7r=EN4gvxJ{V(LU;uwxRts~}ZhlQ?Db97>Y_uZBqkS~OW45^~&fj~P zzu(`7`HOyGuuPbL8|MYXO%5IJ}b)R&<`nu}L z>3-q=Nj|gbs*!l#&pya+<=}*;5}UM7x_*8eT~E1i#pet>sl8$1$$Rj>pOW;K=(;=5 ziE~+hjrVA_(}}8=*GY6@j<5SrMP2&a!Z&@%o;Tgg_}>j%`wfj=?4^_Lort>h?vQ6= zU)D5x`EWU#jCx--v$W}wWp9QTAI6{7*&+7bc%G_ZXJh@SgKZo>=dvy7{|^55RDyjS zUyXiQJzehiRnA_HoN0Vfo=V8m&K2yT`%lHy;3pqxpZ&ozw&M5M*@fs2egoj|!f||z z&si9>F&3h(1UWs|r^=@<`MiqX!+bXT_ud_fVfSNiP;(5M`-a3o;kWKdb)PcEJWI&K zA4RN-uCP3{V(uZvw8-@ddbkqb+p9YGm*|<-LW=&m)G@8eUkeQkMm6 z6+Iy zH`=`lc8_(~ysp-x%@z$U**;7=*+1pzBCM_}mc68@t@m>PwpMkzfM2Iw?=_Vr&+Iy2 z?ym9ycl5%)z4Wt-ej*NA>4*4i`xyJ(avRHfcai6{=j|7l_?|bdDHZDcglFR`DDOXS z`u;b{v_@z9-?ZlBGCJ%2H_^8pycG@)T{j~<>KU&nHxuExObqlzdwD+l><;s_g7da- zRSXmF*grY?dCar)j<4$syB~w^)I^J-4|5}QIh=X3xh#A9S|)ylezA|}=huO?wfuqY z&%AKs*>`l@@ut4gs%6TpXice6{<*wd;~D`LI4u|fw)V7G89XVOMt^Yj744uEd zw{*a3@1RfY)RNNIdT;80H*N>Fz+*o4A;yjmm7a+h^R+$m?P)K5?*R7Yzx2H!ZN@Z~ zpQX5Pw{VxQK7Mlc1(OlK%deW>`vuP^AAsCcU2eut?)ySz`ErYiiG9r1R$129qch}R zu-JU*%zKk+xSf5R$c3tn6B<)NuLwHH^#$n8_$vk{FDcp z;4zLIp7V&&d2s@d-v)0n@bWq#{}IO5;Gg%vKO;pR_-tdnR&y`Dnpmy7J~p1c82%9q zgF`#x!=b~r|AF8%(Ty0$^OD1y8GnR)mF0OZKB#q`rwva<-biU@>xNx@U+B5N=Ys5z z9&(bA-#o{Y$cJLh=Y#J|vN+=N+uTQcn2!PTsC|W*(|^OAGvO(iaXm(I9p@?4896Ny zm=S0E%{#L-v(v)h?zmt(b7Qi{{F$7MB=R%pHh(6XRbyO`(|*I9rGuUoWbM=jkLF`O zXu0XN;Nv=NC7T|<$MHtJ_8|07S=2#0@g>&%0{<3$)Y7*_&*x+FJ2$I-SAoW+y&S-{ zJ!w&o*R@w8?o*3?j>`Pqe!9C-cWTc>hXL1J`8YKXwzf%(emC(qxf%0cS?3HoF|0|Y zI$U{3-RJtG`}s=JkHvt}y{-GnW9v3NHsg5y(fd)1K^}Xi@n|l3_!wWgo*#CedD7!l zJ|ogoahBPb*5g$F@nbm1USjV%|I61TvAaLMNd8OTOLmBTa z%=VVGCujeyQ#-iJmi3k9Jvm`bXG?kMo}HYxe}LSq`D|LZ!H2Tn+J8e{Xs_NQru7K< zkF4X=wI;w`^@{wXdp>+vv^6Tvw8tat&DoUi%^|imyTy6780Yey!9DCL5BpuT2jo)r zO|UOybGcB?-Voh`(p0zHeW!BBO=av6(YcZ9iF+o>9e4aC^r;*KekU|+sP<2i%MX4Q z?v38zz|Ou+?6kD+4i-wv{irc+(fb8SI*X!wX&u&fkPU5C;PlY zoVL2HhLzyX|0d796sns`P1+#-)27q ze}eKq;rzFrD=yopHmX~U?6cOXV5myvUJQnRz%Zn>0LEISr^Ab*A+#x=_{&{dXY~=nA8c zJ?kmkGs%jCq5YvpS*X0;iJBc4ioDFT*fit_zUh8M+V<7=P!6tZQ|U|Pv+jrcU*{0P0s1E zZ>)GnTb;aHy=-UTM(w*3n(05e3j3bt-<&hD|BL*ab4B)_^F;RD$$?@s*?=JuT!v2#w zQ}~9Hi|1FH_n}BP#k(t_9N70m9h3GwQ3>A<`S-5yy#-y8O?1?Bx46zF4)OiK+-&l@ z7o_)`hn!e;#UZtSDwd#Z`!0HsMRe8Ux+iVS`7`Iq+5*c*<-E;*;TK`( zch~cW?$dj{buQ}@z%*V3&xHxxLHFzQo;~I3%5$vGrv07v41D$=Z{TCH9pzE6o=N?%5FwZq+fWFHeWNe+ALIRa&G+pkdu4_?zqRKLPu)6o^&;#ccMLcASj%=3FLM`jHah-5 zR?}Kh2Xpr>@UVR8cjwr=3_33;HnV*Z5ij&u)#IE{-q3G@(eF?4n`3d`2r)<3SFXQr zm)7&(7x^K(sHYrU9Uf+ld~^bQ{;i93g1LQ@qP^yNS2?Ravy@HJC$=Ksx`TE0OE*2E zRsrW-&=Q}E{2^-#zI!E4IrzRa$b|O5=W@1a7MRpEm?z8v^VkID zp|ilGuE9Juz%)8Yext1A>&eJkXF=9jPk!u`&fEAi;`I`;rgegcDc9L}<9mE8J$oqD z#mCZr#b@KO4F9X0-q5;1P9w8L*p@c3p}IDnRkP3tAHM-}78+64U@DH8X)f`xbC^A| zz)WK08DSC&n`<*BHFWj!&Os{OG zuW=2;{H=IHxisW6-3zODCCqnt7WX=IM_%zZc{%fHyhdNqK5M`BG#sQ;9EahUI~5ML z{|X%Z&H(va-SStGXL(=vx5d8do-a1ua$PnSV^?7O+jGhBxr`965|<`9sDAlR752S$ z)M)cqb8b)j6V~H*Fn`z$``yX!A^$y(-~ImkP<+Gw3|XZ9B7UDt{sw((|2Z=dZG0t; zTlEyfd%k+u@zoio`{iHpJfq$F&X>Q<`-zCHY~23a;L={};ikXQkxl-r=ex(eKl7Di zZamK;&dwPer@tx`wx@n+j{Qbul7gD z^Ei%5q)QSzRPAi`((Si645N|el<|$YAFntd&%)$31h)-VST`jV)BRjYcgM5R0 zch>t^Q^wZ!^F72jz9#pxQitz;zD>t77ZazjmMwpF{q8b&$zJKq2kTxIyS@ti?fwpY ze4RIq^)8@XahzhRSoS5_oJ)B=&Lme;&G)Z_el!;KrGAd5jeLk+?q=D*-7F?68n^St zfYatIr;YF&XY8^4Gt?e`p|UdMnu_gCN!q37_zt06@f=_5OKTJ4uvx!;C4K_;?=V-@ z$Ups*L)%zBnClhFp>-@Di9AotunXG9^18>Jl3VWf&C9E?9KB@we3={CSU$NpChb4T z-%&?CG}2tM^Z0o|cCznQChPKfkS%+@W4)~jNiU8iG9UXGbb5c7_916Iz&@#XJ}|ro zK)j*6wBRXUuX7BQ4ZGG<-o{-(x3dNoW9szTE}nfaiMP{dR~>e+a>|OCQ+O)#K1PW_ z`OMH)`mESj`b>RcN35@;TxHf5_KG{U^7$B!F|pxm?;T!Hxx4o!^x}!8d*F$&I9`L- zx=x(CDsi#tEyim7kz1DCkX`=-y1eDP3U)N^x*~r&xffbU4lhw&o9~$8x!d*CdCZ;4 zGjdbg>ACgk`P~YA?IOR}YqSsYo67~|dd?WkzvnyT$|=t% z|Cd)VfBf!F`&XMdkFs~swt2brWiaV0ndcOaerLeg5#hrh8e7x-eJ$3dGGgj)(MCQ= zMlAfz_ofQzfmS1K2PH?cS;Bv$Kl*ttx9FLAu8*7jyob?U@~8CvNA|DW{4g@x%HPZI!*2$U zw$JfZ-^KITf5me%KSG9$PWXv8#OI79KM+9`Q`C9F~dva@7})27sua>`$hh{awI(I zJUrrKn&$VeY>cOp&IxU8Jo_^q^5fCR&7j-yz}MZ4HYTr^KVQ%{`8zx>(p~!|Yz)+Y zMtm;1#WiMRW^5+j=}qvAHs0GCo?YNsPVj_o2MW)!<4HfNm*WX7=gjn+aqKyF`Z#_V z#{s-w_;bm^!N2RWa8iTj*zY{f9IKE9)Ev z`Xu@VMbY&iOkU@*||) zCw&OlVZLQ&)c$dwN5zv(eGav-70FyxQkqcCUc1RR2`=z8r&(v;`TL~$o7dRbv$1CjF^cZ}%eas4MT|*!8$96x|3zH2j`AGf zu{LDyIzop}>8!Nb>#l$UYpC)=@^Os$+zE$sfeqfahQ>I9-39M#ZB|n(vy=A{uR^Cr zT6E9Lh;0)64K8C&H{oaNZ_M#RaEkSs_y>AKdgkpkm!cDV@++s4?01#E)UVkE#;M=o zoP4rgl-lQVIGeu{TIrru?(u0Jx8tdCA10de+{T5@61~jle@7$6viVBt7~YJx>U7fh z#E;*6IWom>-QTJ^YLAR#=UE(UJ?bWJ^K07R^ELVx4HVbV|6l=r9sJ;_T4}29+duHW zm}hHiG*0>%D74ias(lCT%bcsaiuM|FY}b4TZu|QO#FG;X;VsSmT3{CVvFf%ggI{jb z*b2`_;`sfH#5v#~`gUtQU*B5K*Ei#`@6PaT{Iu5Tq&Zq(@yKL;2hr{LHgQc)&&jv! zVvVi$;^&V-&$)GSqk^Y-sxR3%T6+ANZ{O&&w{rAHEFV&NnSO09f^QP%&E~*muj(|G zjyu!Z^i95y@A!T*ozG)UPjS;^RpX+b{npr+3;WIZjQ4y@b@IYdhKZ#ncXiv@`aR?l z!n?1)GnQF<=m1YFs6xNCYpDg<*h~DVJsPKR$Dq%Db1s-1?yp}KcsX0=a=uP{8FWr@ z4zFOGUnF;8{6svjx#~@9-*Ccp`X3eiF7blyHrE&>d-*&g)9Kh0XCE8qkhx>NwO4P{ zbW&$FYVaA4y>|m!?&Sv0aQ3lkoa*n#`_P}Ae^X9mhW>WJzw#Yg_4hE(B3*^6=&Bg{ zucc2H@;~OyTn@zt_i!(w@gUEeW4S~Rz(aA(edlWEp!Mp7*`&=CJZtUQN2Imv-lgh? zyb!i@EXw3j-naB-w4caW`5qmTyKLERGAlisKsebur7KdMqA!XG}f?Jf?k_b^q=3ovfVb@F<>4h%VKjVlpCEZo&nwegw3y+{*tRLMsYIr;S27P@%Ii{BQ zwekIOy2GpJsu}03S2(C%7h^@{%nxeUUr(rG^f1^#2S1VilmjgGCwK-EK8W6lPbxnFexv|?>EJ!4aK9jTmT)3bXTI%#kTe03(cfUC*EDwjLfI<3v2^yP9_ zKg|20pGq%0w`wE!vS%gNceF|Ju7j=*z9PD*jr1n8?=3a!*4*AB3%2)Dd?lTVtQe17 z#cz0DcF*V|nTxr?NHfYRu}nIHF&o~{axBt8<|8Hs0f6lkb_y_lKJj{#v5RsNmuzV~ztXXg~UrTgx ze*A4W>6~54do#kCg5eg^f*hgwCHBKHb2?x7c;mM)L#UO^XEwJ;zX&?Udb@ zou+Pa&syKojb~5L?{k$S^F33i2c!urUi5AIic1vuN@ zHTqCL+Pik#N{p1Sumjr&w| z3%-o@#HF+a&!%$)$AcGljk34?W$cSPhdY~nUtF5kAda;AUU!iHGy9!QR=zvO?jagD zHb0-X>GT)>uW9Ggl=t5P4SLSqzt%x4wVeL`jQd6M@>hlO!zh1uTK>aO{#44}k(NKd zVsM^9`E_aer$c##@~hMGbGxj52jy3!<@bm3Juk^_enVP*)&W-kKPlgkmOmQGAEW%z zwEX_LR{vqj*Qe!gInc@oF{$t8@k4sL6J45;Xl)oS?e=L;WNBO$6{H&)K zoNrKma#}tT%D+naiD~(Rq5Lk&k4?*$&o?-qqx{IU{4JsU)0D4D%kK>3e@%H$TE6BW zgEK<;lC*pzl;1}AqO|;w1y=uql(YA}L5JZ`{^yi;rR6^i<(nukr{zZ^R}Jd|Ha`6Frh{h|C#ls}Y~zwxOC=XI3-Yg&HDA}jwr z%DYqpXKc?kh4&^VU{GPP@jKx;}MU>y2mj5u64^aO3wEW6L zto|vKeilbb%$F0<0;>omfs)BkER@*)}Zqlhgtn+QhsY%{^d}91m)U` zkk8BOmRS8|l-JVo?V(r{$jx<-ef(HEH>rWmf;ElwX{d4}|hM<>#m6BcXgJS(Q&8AJ)B^&i_r6iI2!RXw7zl{CN4Qy|)zC?b7ptdHuDa z{;#f_Ucb1`2YR+Pr`&m-Pa{t`5_4_JXY>$T%_Z-VzRM_C=Ns{y1NjcidsKiK;W9tA z=BFH+&g!b1GuET|8efaG$Jo|zT14FBIh-b(Ryt1coeIip{{Mwjl2;l|>7=|8bn0a- zrSc^3(H`BFG)m$$n?G_^tmB0kaDVbOn!A+^Iw7+b7mvd`mV-JHy!L1Q*h8TltK!nb zUhHS`lKca_X8G20YozV0d~iSa?2m zR(m{iJ}cnayzZ0W*dN|GIss0SEAkLpy9oT%Ob4yEjXp)PQLINyjvX`l+Ij;ppwVSj z>Wgpn$=_9)t~0UzsdrC`CL`s>S%k3fyg`$S=QM0j3%Qc5<>r0o%0sdbZPH|fHB4f4 z+Z#3*^FfqlJy~rF`*^<0ySVduT1Tec&zZ-zu#xjTpBZ!R4cX4&vUXx{1)DXWuwRHV zeFNAn$Jd#R&w0~upg$X5)GN$)c5%sY=blyTBZaTKYFffibi_cqcL*I}@X-+uBQtS* zAuEMG-a;Sw{vofM*I5wi{9y|`v~Ry@Pt5!7oE2uzE-65qU1+ zqC2;;rQwcF$(YI6OnCPMya!X>PvAE3{!;E|&aPZ0d^Hx~ewO9~JvYJqTFd*mhv=ir z=j&dT6u*296TDK{ytOD3sqSO{iSA0b_2FZn59_&R(?83-489(!XWC;p!n|lN!tb4# z-8|b~iKRjRa6Y5a?p(D))`Q*-dElt86-V~+Jnl!ZH8IL;FU8W(#(wu?;1SmCtH%Vr z-fUCSb>NO~jX#HVu{W?T_FD4S+^71$h1uu?cbIZViPps?>np;yy>F@;+fBaP?p5Os z>=9hsj60Oa*+Zhb@x2ey)x)x%thsBA&DNh@+r0Lq`;?XcwRLUhE#Mjd*LBY0t=Z_I zk`$(^4EBOSZy^wqJ=)n4b|}@O7ldcaBq@uTN%rZc8zk&4b9Mp z{3yXGF;{jkbAm_gTX;mAU&n8o&wZG?h;z>4ZTNL8t_4Nj>}v34CGxWR!{^#{A#!GG zJ_p#E4||QLCb*ASH0dbyP4yhYJ;l|F?LBbwMU#DL2QAZf!drVO4R7&u5pQ2J9CJR_ zeaPtT523RsZEZ^a8TvDyPoHn;#GEFtMGjZ_J{^r)zh#Ti2ljg z**tU+>t9~q-cx7gUD=eC!8_Gn&hDXK)Ytf1wND_N{ZVdCpI0Rx)_^l~N_I2f>?a_` zEpty;mcK(|Cw548p4dH@(qmC1s?~hU}(`3t3HXAS92+on0whrM} zqC4XG5t|SA$=)f;J{jG&v9o*QeTQ&YteqKwPb=`C+T}hLXN5%rtzpcF(+vEF{N?;- zI3?#n3@3Q7h||xxKhpei;Uxbt#p$$w(~D-qX$GD>IpPG*8cu~X9pc*}PTv$x@Ji(M zCY%-ooO)-&X$C$I_eV2c_}p+RoZo1L(^lbBcAUIjK6j3jcsj~~cslIQZrt@HUj8Vb zH9XXP@_P&U6UoSD&q#dPPGo2mavE(FG^t!e*)8nF@iMj9qWg}j``12B+luzDV{0qX z7vg!Pbk~WM8{u)vhg}}UYr?mRUYG7_;G5)5hMIGe$}L%6&kk$&D-2i8An;B3rk=m3 z)Q(pfy1Wjpz@Z5jwZAUW8w;r`9LA};lHbBXbzZ~orkrO#`_N9szs8ToZeW|RRi{c% zhA~AwZ2mRxDY+Cl_FQtk0vpHsX2RYK{1?3=0{V?bpBbB%Vc+$B6RqQk9`#kh#$o^D z(*}R`d(hPP+zQsNRpEU)_P$iXydB>)?jcN`hq`v|^Rm+SH|()@>+tT1U~2;mx4Wag z;G5UsPD}RY=RRJxeTG=j;H_x%Ve`p*SMt3< zW$g_*n7u&@@df78n78C!0rm#r50Iw|`Ag454Lcvpb|`)oZ%LPy*)MeC3&d;KJ$O7T zo&3-0Py1q0xahs6eKBvO&D7N|VNcB2TlbcIPfWq4NbhK`lD@nA9Spi3Uw07Ly`>i8 zH1nR`ttvVCCvdQL60U3T|3Hj)!L6dU^8FG&uFk$awY@90?VQfrmBT}w&r(NspPhj| z+AMtN*W_Sv!=6W6{z`Qj!v}Z=hU!*|_pv$7w^2{D)7UuEGTQee?TP1(x@+*y_~tJ6 zT$Z72$hFwng?L{Qb!3-(zt#BajiYu?0Cu<+dK;{FBe#^>-8jU#D=61_410DJ{V*oM zu=i8g_`Bw&@D``_-xgpUtg?j;G`4s9*q~pld!|&^ zc%2wc=j7YMBxcWHUNs9$>KaV^@EKvwPhh@n7MRpEn5>7)2y<=%^Tt_VQrBRz#xo<# z{S%n;W`RjvgSmeLX0!ci*h};Val`cYewtja4e!dV!(*wODu<%~72Pe2KH19{h<7F{ zFJ7D5i>m7s)zf_l`YwHUK)&hOA3Z(TA@fapgD$drDrH9(q4)W&9vb@S{#NIx*^7ks z#=oW?!ruSkxL*-oH`(_X519=)8*g2{IkdLqvbZ z$6+)B&qp*?)&=Z+bQ?Zy?=3Vs@Jw{b{jJ`BAGida18!QY%5ifV4@{#m`KbjPN8gFv z>C?N*opx%M9p|?8p2B_8=LC9}c&>Z4t?mo6DVA|9Ut;v)ztd_mdqv;W>7AU(6wDW6 z=kStpnqLRZoK8AhWPK=yRnDfe6CFq1?{4L5{d--&^JzNosCPY; z`|NqC=Fi{j-|zG9Tm5^Be}9Z`=Lykf+F3<>U;Ma9@^_PxVSPtiD;YLl4!_2DDbbg9 zwk8?-NZdmY-74tFT?-kz&J^P(*qlT^RQ55_iL$J-Z>r9B3Ez+VYj}^<+HUz#DywvX z6YX_Q*I=NhO$NZ@Unw)361!kHCH!5F=Y6Di#Jh_FU+4Tw-xcNV@W%(;p4vG%)n{y+ zW6<2rg)YVy|5M|#v4z~@0@*p%ffmb$BrXYixeI=g?z=Tz>$=z883d2!^TvGUx|ccC z*;^m|K`OSF3ZS?#40?dx6QGAtabOPybY7x)-n=u^Y%cKm49SvI~ce#bOCHQ+p@ z{$563x_jH!6TZbgB=|#BY=raB~lU?c=eVt?yUOodG&5$QJ!aaU9@bNlve30yn9cvHbqWxT<> z=5sI<-Wxu(z#izNa5pzq|QQDeiCJaa#QUnM~LIB0jR8rgxyb>OO4$(X~cXbd7vjvnzov1982(%-ofPTgcT! z-C;N-v>$Ytw)Np%jXRb`qFw;E{=)-5TAf5kMjVCz-#>tkblWLB!x@#t=PxH~1yS~+ ztc&*ozM9V_y`*xj3ugEo$2zV4oin{wj!$CWwLbeUy%!nOS`K*_D}SGtZ}D>E*vfAW zxfR(&v)Axj-N#El!ergxP+vS?W#md?j>pEw|7hzY9SpYP>U*I7KkD8-&dRI2_rCXR zCbNeD2>~R8z%U}RCnO?83lt+m#>kl1LyRw&8iEv0Gf~@^TB|v!4RLCnG`4bU`rvyY z(YirB@|>z+TGK?SpWs^$i7zod_HhQZ?jhO}>&s#KFmk@XYpr$fb>Fl1Ks@d9`8*ZS4`?}V();-Bu*uBR^^I#5Yt4}WHj$nx9bnNK`*e@bb17zxBjyZ z(^JC9OUSb@8ld}32YOrwS&jP-xE6o>d&%Sti_b2Tj~{n94|68Qhz*EjGKy1&`+tJ| zw>7rtWw>ql8X>36%305teu3tJZYtM0=PTc7;?+8HjQm^k_=+yS6?r>$N1 z&hUYLH-ACCfYuYH_ZvJ^^Sonqx|7K(;Z3W)O^*C{)fb&hhqgs;qZiS(RwUw97^XE!Go1$f^KT<8k!IhZ&Je9hjgZ1XDAoAO>| zU@e{hnx$G>tAB%|n>9!{gIFIlibO-GYKJGjChxl0NwuXO#e`o(K z9)#XAyesbpnjvHI(Q|&cp2Op(KfpY7Z>eG`ma7%z22@zniSLcKz1@uIs`kVfY=2XG z3qk)E>)b&d-dB8D?}+aq_ewYzj{U;D4PP$6#rwD1+6MW#6<oz6!{h>^+Xvb7@L+`$7sIiC_aHvMmH;4|(TGk=47WZYQ5 zFCNjj=$X^;z02Aogiq`pYgH;Jcf#}yyc_Eq<7ae@U=WXKP6m(oKs?>i*aKAT2EIB} zx`~*VKoDPbYQ^KaJlb%*Xl*{Hyws)n%$H9feJk@7s$mm5*z` zJNZ5P%O5ZuaT&2a#X#8mwb)*%>#kM3yLs>LS3l7EHala@y_Cf7>DS@{)K|kTaWr0EVIwUD81Y5|4dowXYYS*u_dM!-=@D|p zl-KI!4&3G!HtTB*vM)Kr2hupgSr*%l;(OnQ9{KfzY-=a)7HZ4#vYbsV#QD6f4fA(4 z*RSi*zcJ4z3(#%li%-jTCcoL>>A?S1zP(X?)X&-IL>{QP?ryxm*A{&ea5 z-(G6Db?9foTzbI02UG1or1nGD?$0{=pg51odBL8F=Pah9y57#qwy8Yu+vxISazEo4 zd~ZX4nhm?&?1Er$ymawt;wBc?*+0ZH>DZOfb|rRpRSxN zBdYwmKSl zT8{DFPt9$NzQQ-}*`2(Cm|aiR(OYdsDa-4S7xV5Ze;0a-b$W=EHRNdNDd`dIt!m!d zTecWoq(=tA`@^;FM)nUJ`EX9&ln)+!*g=nn>*y=!O~(hcWgVfmwl~5$U*nmr^?QQ@ zVV@G8K56eWUr2grKQO7D%Ji)@#=Xef7R8~g99+mB(=+NM>+u17J@HiAhlR(@-3j|c z#$&=76uEb=cR?Z<#)QIPy*D zN3j|4@&59T*w;Q(y2Z(~!G``6j-)$HF95%Es+C1LHPA}7RkVAL>D6exJTz6WYR$5L zXvyh&{d$FWWw^bREViZp*SmOU@JX^gkL{;*HpArSGGs+^fL_wtVN7~Q_*jW7qHj$1 z`+TGz7sd;7e7+EMB=?$w=oa*pcv*Q<7T>2|z2n^Ro73+n@vVYCR$3w1y#7?%b$ydB zVqeqc4_<$&^it6aSkMd2`pMd3BjWx;c^kUDS$TO)-{f}~M}D|;%YNSBYwIPAg+7p; z%#|UZW-Gsbg~ddBzjQ_Bn+Kkgu239a>kOOA2Eh)WZlFKufcV+v{@LXoZ?qj#9pU|{ z(gD7;ye-ke^RRd}rh{nX)&-GH>5p(2Xm^)mjmj~#@yYtSvv2DT788>er4VRx@6GHkI5@`g>v;Dg)v@?pJ>IU3>`lu4h+ z&PvC~C)R&`OTTFBwjR-R$0_0scf04%1v$1l)HOX5>N9q%XH=&mouD;^_d&IvQjsqV zUjEkPwe=nc@5Dh?i7_CvW30P!z90CNE~-e6c{#0y^(MSIMNXMxkE7=)Wa6~eziQvM zvv2Y(?6sL*lV2cSh9ATWvZ)z=)868y;$?6Z^YTC#S9;R;)%U$w{lUwd9lshsF}B5V z#Iwl1>00TuX1b#6c~ts=-)e7bKH5oV z($-JVL3g}b{v~m|>5A9<9bA7o!g1$(4{eSA3Zdk-v;%Q(W2>yldD|;>dqri}Qt_cDTAY{X+yE}Zoc3!Rc{?%T%)zu@oY?< zhp~c>pfhNOYh*XWg=EXeH#C;;D12lxE`Ed0#4|?wl}T2|^oy6zjPAa@J(Fzmza&0@ z?_=52dfJWU;9e+x3vGd8TK>d#Sgc!i-xc~wGX8EUOC4SZhW_|(eRM>9XdbfP&_&OjJn&q&?{#I_dbD5b z5%(@X{CvBUBG_p5QSkNsJ__GKciH-c|I%Idj*}=3C_Ah*xOCS6?7DnFd*7ed4Ct-{ z{U5S*W@cl&?J(aSJ(hbO>8fut583O$gMr7~9*N&KFrOknPS}ev-j@%?8d77GST`7r zkX>N0_%H8X_wR;i&{TXOyT8BxdVCk>lN_r!yDr?C55YRY_(ir^Hev<1mJN|U6(4-O zvG1^tx?v7A&l~C^#H~d)>40n<*4>c1$}9(G5m#Z3hSLaVFBk2Dtz1l>tV_n|FYsm< zU*)4^&zC&cZ{w*lziFpFcsJdtUg&oa`t{!WI@Y4>XE0XQhuTqB?Z(ufVnXOA&Bb6q zW>v29BGRwsXR4mykqrQM`fa!YUtv8U*wkLSIN-7#bRFgLVP6%z+vJg;_QC;3*L>K%!#M?`DEXz*%0*)%UhA5r{(IR)AUo{=A9@vjS=-yr#tA6cYP zpiQO^#3zzb>dQ73>zjR29WSpY$1QlP?)f+7t%0a4_%j+K)|u*a^0w$begEFNpzA+I z7wFE?SQpfT9F?_S>U9D9l@!G3=as$#b+)Tt0AkE3!LmJmTtO4d^@c! z*?!vUijR;3@ljrvY(Fhoe4r!bVC3~y44d(zbPBNMbc&Dvna=P&RLldz+1)4f9qCrh z&GrNe{@^v>D8OtwNU;;?HgC%^S(h(@-4T8@o_-6zqu3ymcW`tzePQjqZzu)2I4v#0(9b4G%^LflhH|b^OYV+(1^K|y+U7k0xc|VM;YGngj(9~=I^ANme zrD-{$DZh=TvH{ZJ9v9Qu0KuucYA4!RtV}jQHbgMU22lS0R~pL(1YckUv~lr9^bK>A z-MAOsldToJUJ)+z$?4fbTqKSu<>E=K>E+)T-*hx=t?g+NhkBRzDm;g;s$tJr>(<|u z?D)3Zrsf+brQf!Ax5*kblWkL+Xs~!j)Y}m~H#l1Km9?utZ_fjYX$9M;IojSjuqD7& zoRjLRU6nbR4#zfDmvIiF$#^ATx3xL_+()}B*6&)Xv#7y82ztuo3m=}iO2b|>=})*& zeb{&f8Z-V5KtvEdzFiTf8Us$;&a zhcAvxg*+4KDZSh3IC$ZH4qH!zHG#!b!ISmBFhA!at&J|&WaZ+Tzr4M{4}pi}S6RCj z^s?9>^BnW@6%N(L;u!4r>bs3^;|uX5Fe^qZ9#=f7hi}7mgbO{-{BG*l9xGi z+rPQ|NX7JP{eGXY-|rKaEN*0H>S~L^y1~|Etg&pb?=Ueb%LkBt7H!4j7Qep|A9-UV zCMe#J?_oZyXdB`{Dr4_}J^#bjPJ58$!XD%bo&CF*=ZyX5?z!!`D`tB?u_!;kmhF37 zd%>W0l#g%p^FprjxY>SKdyglMBOValev(A)6q(grH6PQJ52M$;&#%~5E-u`{KeRiI3jU$#)@gixjThS?@s{veU*-JFu-*~x znQxBY$9)iXSC;$@t%X!y{n*-Hx+l!xUp~u;sWYdzCHVl6TPf$PJ%bB z@r&~|orSIl{G#WbtN~TO61`*3+9@_bzrpuc---=bT)@wz==bl3SKtp9|1USsNA`RB zr`fxi(B8B5ZuFh;4t}2f_xt@JZ`^c|a-8D);+@ieE-x{QIpe#ahsj0o`L02a?9JPG z$++fX`#!$D@fzjEN63)Yq~fo8@hy_!&E3jP$b3xrYao-m?Y4I&yJ-7cZ+7D=KSKVN zl|^>f1icgy*Q9Ebpm@6*Ksx3f3P+8R4qge%hv z>@~^*jDI@Ve12{4`2@pF_|(gErkwGVe-y(d zy+6qFM9*1Inj9kogMMz))eW&^^QZ8CjE49yYNN6AKW_iJ;@NiUHSm8E>+5b_jgwfO zhiJ49JRU~|p2dA4#Xgf;8a^BRXu3EaOMIpNHVKAl@I@@b@iTtKaOg+pYJBc}J>&(b zOmwGSmH6LsKerNa#N+B-R+CX|q4Z4rEWl*<+Z5)mdg@EMOK|I4k;*jBd>_5GN3U|# zGkGfXrE=jO+my@S&fQNYztHc8lS_c#SI`IgAL|3jIJU&U7rVJF!C%SbTYe1h!#4Sj z{20pxK(;d*BEJ~9H@-tp!iz>ry+6d}jjqhz#ogs%rqJ8=hoO<9JHCL{_O@;dIa+JH z&fbE*7{zNJuHjepkQe;wQ%SjsD(G9K}xz`d$7*;Onek%48z~-;XT^*D7Ofx`RM_Z1HpB8Eir< z|B{Qio$dR2`Or9mCw?wD2{Ke{t7k@c$>IAw-QN!{1ReL6zU(iP$!rfEUv2WX^LW2p zDMb!Vu8KL@%8SySyE=n>W+nGlF6TqeiRFc13p$kxRPH>;8MOD>T}2(q#4p!#pAhkP z)=FlpD}{Q$;5q)7%d_zEF|fqThv?_aY8SgQTeBUBayzkM@%e#@w>9RIYu)7XGwn<| zeCG6{cu(NoK+sF4J|or`pmUkV>tk4YuDr2>CB60Xto4BeqiXshdVnv z@2WC?`O8&*&%ND!B>$N?Dc91iNte3Z)&9briI1_r6Lf<5?Ei@N1lcQee$7Cz1JNB~ z_O5pDcygurdDgFBiqEL)o)?3YbLy6JFBo+m<9^0F-_t^U`f;iuhZ0>2PmYkwJMli& zLijv~S!-qR1fBS1#^c;Q_jm&@Yi^yB$FDU!D4#}cbe1%RQL;D=%$lF>An^5XvHTmx z6b|dlX)7EJ-5?&AIJw--(P(;QhM!YfW7_=CiOj)ta6QV=v9&n(FY-*7ZW7pD<>T z27)ES8-B0w_-T0M5BX>hqo%X;$iLNT!aFr@6DxBX^;DNN*~B8`Ub-ZV!8&GQzRJ)A zR)<`&$=hDUI~M&Kp`W!RYsIlmtR-b%Soc}(7T-C0zlk$e0Vet|8iJ?HPDrQ1E6UFl zPOw!jp9_A`{j8LcJL&lay+wQDm*F6HR>l}Q$HhE!HYCF>ysFg^voqfriQ=R2G{BJcJ-c9T(jA}^zsr(Hpg#*x{a-o4f1 z1U{{KKPkvuv2JNm-{hdKvHh_-ClS{R`Ol>VeJ*d=j}^+>D9>V?*y(0%%?6-*Os3!L z^ojWe*m{czfdj=pWozG${tLVeZ)W=GbDplbdsNUNz3mOW)xC~27<$||xiez;enmg? z4<&!nMaBBOFURzvo-K0tjo-Vf91DwCMQsC4k|jI~xPY!+2X$G0=-9K-w1^Y-(C#+e z8ISn2ci@p|{CKVw@AGTHVSo3h@=Tk~m2;8G!Hb`TxrjGPtix@++H7wC-|hl%_^bA< zHU4PiA1bb+eO#L_yf0prE=gER8ISPHVm9Enh$qhZWxNyH}pc#Xv$_^mqxO6A>;{;#8))erTg2a(C6 zUZ;<%jcobsWaKihYiu8(OnX1)x_+|;(RX*JhY8$-b&d=c{{ zEQUsZp-izai=|P=VrlppRwjMt%g%sDgD3JqY5{(gb@rKUs0&{H3x2KJj84p7wpVwj zW%r259r48SvYhT-LEh~auh*dKK$xG-OUifrc*8!LEm@W5Jf`Ivnk^{y*K?Ns z@T-E|3;o%yy}bwiqwtNk)OqZ2ZvxujVY8`{yO}uXx+`FpxL!?DRYM zT`c%DhWCwgV~9tl8zXu?-56mm#y^sUcIXZLQux7O(bx|+@GV%6uk3qZGw-13;T<#< zvmo9mU7>d5t@>1AXc%++DktqYGcNcD*})KYe^&xQsv2#eK$YDPuK$n^?vx4|DF8C9&p!J=j-ppSLN*dMRokgQTDp9a}y5$ zC%W0>hB(8-EBP8R$(uXVE6{uwv;IBukJqa@3H!+~!OMrvl#LV2hzxk~6 z)oSm{^j)Ek@p6(@ONr_n>)Aaky;frazu{_lWjco5`K8Wbg|fS=>A%JQ_w}Z~i2r}` zlJsBsU+?c5Ia#h89N&bTvgXz}moQGXo%1=nN-28_=$qZww$0rAC}+@~+;ws(BXdvKV$^ZBRG)t%2*bKi5>$M7TDRPH`C20oo# zhLa?-lvz*TsM6O5y(rV6oruqT!i4(|;byz=@t!0w1%U z8uWg2DeB_{^^uQ}%8X=ntuOllX#7!oC$n&2|-u#&Vz<;$D|9mx!<;H)q=WEYO zzZJ@gI(HKLv; z|G7OC?JE9G`#sn>}3O1L-!K7dX;7 zPQNvt@y@$urN0B*ii5zn2dmI8;3~i;eV5%eg>AFnbJ02IIQkw@E{m1PKcZat`RXs- zy=nO5O>xP)V~wAt!}qdiUXSow_%_&?(E`+_nqz2ZE^oiXZQ2_YUFW& zA0K%b^y9x9I7ex3ba?L5QeLKTxBmBlN9`f&F6n_z=6PeE^J_L@i*NVq(cAGA=$AWV zz^}VYq!#imG~Nnq@$L94;XS9iH*g)Wtb-3P$G&g$_FaAUQ(yiK-@UVUt3S)xt_Pg} zOwSNZ<+g**1Rmkm=A<_C*IR1%MV&TI-$Z+FpPjv!ahdzp`CErKuGcP2?^=saUyV)& zzMH_E!3AC_ij{#U>-Pa!P*nRCS+?P1E%C)&(_~tjZ({j!9UAhUp5X%-! z$o8S$-c9K^zNX-lZ!a4oA5?H0#~vFjv%1qk!Q%UU5&ddUcnq72Ut%`rIQX7A4(Dt9 z+|{@B^#|SQE26&EdY%Y8vf9s6@r9Tli}q>@eZaG+-hpxY<}cPBD)0CH{$7_%ap%!S);t> zc?kc&?)K(#%=u^VvmYeaNAyyzPGv5-_OV91$NC=YOb;CS(BYX~?%lJ@@2<|x=&#l4 zoAbi-k+rvY^2LXLto6bw;DkoXCCZ*}cnbZSZ%hC5leLffcjMC^ay$_H=g1!}&iCIW zD_zK!_bEdg;rY(FZ+|plUOVMSe&@V&1~ii&pmF0iq0fQY&ZqnV&nqQ#??&bdA5=hqxE` zG`4t!+<;Tzcec)n{11!Y!pDL`ALBhwTf6%`z@#>QZ76?7d|z6$+3xoL6yw>sr3JEy z+fT_a##g?!zShrgE%p%^$j&H>uYInK>gD*d!1oUJ>kmV}TPlweOPQM>hunWr+Rb~; z`X;o;^e2p8gk5}}@#Vvf{qdZPQhwC)0{NZzt9=vuxr5ngQiQ7@FBx1*3UFa70$ew= zf-A^I5w6QT{hPqG^L#%?@T>c-9iAma+(8Sz4QB9cdLF#r$Na4<$Qgc9n5*d54Q#qY zTyZDchhfSec;Gl0f1Q;!n~TrIILCI? zFHP^#I4^VK+(i4az1Z8W{HLt`Cg$6Te)4O@D)!sj-F;d5wy52!X=m~q;clF^alAUi z3FVa@d>-L1I?I?u@#?^L^}qIWg)W+VasJXb~yQ( z#zzs}F4KJRb&mJ*pEAw2(vD9^pEJ?@!ePBU)BJgB|FdVOo1*qhnzZknn}^5ReROrY zCTcgQS-S;I+P(Za>GG&usaZSL2J!rDycuiK1yQ@7vYyG!^JeJ!ygRV*$)3v2aw6!lO~<1C9xV39e3C1j53D${&EeSE^qWze|3(|$y*ZKmrr#GqXV!z9 z`f`KiOA#zRvvaT*Z*9!U>aktJ&rSbE<7{+1^*+WiK2@JDZZQ_+HrC_OSf%+>$6~D! z>4jsvUh=&39*womjrF!@tj-s2&hdf4y4K6VHZKSG|Aw3Me?9$k^|RLX^LpWP8*;Fk z|C9+&oxhpy&)Plo>*?)LyX{TdB`+<|;f?Fk-;df{)1*!3<|boR*Qc+I+Fe1r`s?8j z`DxzgK_9t20P&M@px~#9&arghFZgG|Lk@@ES)cwV`dyDc$@=rL-dgBScl<82`1R)V+68sQYXg**(095dl_1-zU5&PS5cGd_|$^bDO< z+7s?A)q2bJYh=4vznQMxpN>U+J?LW^CePP3_|15pJq&{fAJugKLJ!YtE>DlC590K~&3_d< z_^O3va~JBn>0zCQ;&`sA*@Bz0E3UJYcc9`b;NNhD+8g z5#K+#Yep%(UG3*M9BvQodwqN4t{&nY;CQFjWUnoys#~SkwqB3w|zS`3$^YMp0(i7-4KKXe0N^pIqJiics$j5fW{bT0aLND##vEr}#;;c@V#}dEDyffsL6mk9ohsJm~jVn#a*+q+2zQdHH#)^79C^g6^D6 zS~}%E$^3eB-Xk^n&->ZST+W`NetS6<{YP1Ijom{G=;~y${xW!;HHp5nHEO^6Z*sfI z|JFKmBfq!6d&mdzGxr-_B;GSo--N8;XZG+v=_#e(l`qA9!{{g4(tC+B^)R>kJzf`s z>ku;;y&Aj18mEMhZ2YtrI(WS>PW`ZcI7vT221mcw7W++4?z*^~CiHLl9<&)}AJO_n zZq;rkywlkZEr~r(Y5Spa`jgANUIYhY^!*R)Z3w2y8r}!#b?xVt8nW#`x>?welHV?si4K?3O6kC3S73S1S{gc$c ziuzAb|Ef|~SMTGmbG8EeeboD7&2Satcp%8maz8%0=p=kJi*?6UZ=3bORmA7}mXQ_6)C9i+2LVNHzwsrWVVkC6FGOUcBl_GID`?8P$no7lIUF!>>l zrG2;Me7}}B)1UmodFj7gn%r&ogcaaZo}u1Fa*2m8#3G)c|5fyV3H{3+HSPCj=cV7F zU*mV+lwLW^dyA&SZS`^YE>5EX_^v3Hc5^Z^msnC$S%xmbZr4MuQ$Kk4tm9qaJ)F@I z86c0WLA!816rC+U$<|pN$W72^0T(+X>|k>B2(NxF*MG~+2> zPjw7mz|jjFKeBN@X?bqr=;I=7s#|$UH_G2si-3+!LLs$0wCoYAqtDx&8z?Sh%4By=y>1zwL z-7MNNRx8}=j6jev)`l5v|6FlW_+uwFT5;0V^dsMU5c~$4UG%*N82e0lUf%a6e=g2> zHs2c`bLJQCc$6HX4}^U{a)@}J#!Si46L<2i4ZVNE?p~$tCm2`!P8|M;lk>ovucurh z`Br+a@;ZL4Xc^0Z)?&!jdu(l3U7B7DjB1n1_dKF^yDwnR{pp;`X;0%hnqRUU8w0&F zKcw6JH$P;t`<)P%(s^gg_{0u@dWUjtY2J7 zf4U04ggI~*|HL;>pV_OkJgl=vIDa-VO1ag0S0x>f>V2h2y?QtH`GGz=KOgp!W#6s+ z`JL(GQTxAX)&5H@+P}3k{c_a)V5|0zv}ixtnT|y5KhUcEms_+Sn3*1k+W%Rr_Fr$& z{?N?y{Zae>(yILzTC~5gE4?#n|GHM~zty7s?ymIKsQquXYX5k{FEhH;yVBQ3?OxKP zoz=T$R=P8)cLnv%CbO@m{^V`1WUu}eoB?TfIcELmArA|YhYJr(md~3i58{9LEY5*7 znb~|EF|LO$ADy@R@}!;bg}X1;p1a9}Vvs)Gm-$M_ruNg7$CK6Zae`21(ATm2Phw6< z$>*Lub9VYScl(?sY<{S3_J}^skBRF)XLkBuo75lh{RbTwzQX$^;`F2Uor5et ze|DM#8i1p*|F^X)|Kbua^VEB+Nj>2tNejGiXm(nU+I_iIyT2^7yYOl0KSu5TwpF|L z7uxN9TKcu9-KSc$`*5LM{b}jnMeXis)oy>G-8FO4Ls7f5RlAQB+8v&g-W#4T zVlsh`DF5B;$h%qJE-Z~4pH~{GzngO9|GpDh;&&!XL+-!j8{Y1JYmIvwzu!rlD5f+J z&ZMavKc{jT@ppb_aV6FfRlgPxUt4?X zm(@KCqxU>FUi%)~we0+KGkB}d^L3F?d^uZ7sV?Ij>lr*hm2Y)9^};w~JR5scGBJ;F zM&CrP0Qpm2tn9wFNBemE7c8@QruqhlU)NTH&wo33IPk)3eVmQ?!DqTLKjg+-&X_va zI~vMA!c+WG11bDU3S=mS`7J~t;5-{UT%(VN|T#=en^C@1XrW68)9ibqhc zd41d0k0wRJD}}0lgUFp7tc@s zkg_`e$L@!YJX3$x&wFR2(EQM@=gd!EOPw?S)5li+r>C1_+@J9>9YEZ1{C^TtiE`X3 zctd0sl|-GpBds>t5~4c^;4F{r$T_%vE!~B<_d#U&{ZCR+_igsNms2beQ$E zsG$>TVJ#WYZwP*h_b)Y(s^I6dtmbt^btAv%tQI5W)q>8Y~o+a zx6|GTV+Xzz5BNQ;L%Y7VApP3Pse3^+@apaq_hUdG+h+p~?HTCaPRVK5FUa-z!l$SA zt54_{?~}dP(<*ltPXE+*0o=Q`d;NXOyVnaB7E97Ri}zQ4+T|a*_m;8m#$4;jwe5%L zH@sb2`@QuCmVa-((Ga|aGxn0za8J>`@{-e9_v(M{JSH(e{mN&|{lm1W%bS==Vm3;St@dVsq1T;oz~x znp|saJ)c4QLH|3*cuhE0KC*nvxW6IapPo1CkLOu`{LcD2qWeX+XYu3#@5^NPga5^w z0e?k0#`v41xPOMfnIG(;-2v{eG5qc?8GaAAJ3nmCJdW*GXFL6w$<9Ly)5&K|m7T}` zm(xkP`gw{sK3L1&&v?36X9dk2Q&^;((t^YN_m zJe4oz_p47GD06<>#Zm9#%ntXvEH<5iUNZhgf0$2Q>wooO;Xjni{_Hefb$w{Ote&zl6gI$v5_6Umrrxk{zTXx()%vsxk)}ly--ImO^IIk3v)P?CAfJHh%Yu6y3 z((B4Ccu~enR}sq#@AGu;mL9{_U}r|8XL~y%Tjga=_e;&E&pOYQXHu-&$=x!Q-rf&p z`)857R*`9FG$MJFtn0Vrk^R(>%!ZYtGeCi-mGgnVt_400=YJ>*=YNFbO3=}ibB+)m z-VXn6KNa@$e<=S9oa^k9?j>lkA9GCmLbe~{>uFCxdwlW-PJ;J7bmB|UiC1?f6E8-7 z&0gXMNnhl6;$4f>u|L0$v*_*qUwSNY2)H%da&nJ#L16f`Qzb@rHEqZUw z4a{5jDRbXPuvbG~PKAdcv&4QRvk(6CqV?_$Cf;*G?x)$Qhsjm)`b~G+n_Y?W6$bq} z$Hst1B#*VB3ytSw_oW9Uk9&nb_;%mWtFqjm+dE?k_x9$Jj|i}xJf zh4U>Q=SL%)3+ASHUDS~Ouvczpi+UYSdVlh^Z&b*$sFfG<0pIY*fin1x-T_`4TIBHk zS@%qPy5{GsWUto88jAcf7~L6Xc-ZLiuud|4-Kj`F9+LlJx}Wuwp0Q8BH+YT4^Sbnq z@`piCn5Y=QIfh64|j3o?@VX{2cAGzpG5B) z{hg1{%FgcDRlPWU&oiMtK13{IzvpQ`JPqyNA-&Ll13qY8PglH5OwrTeyxIaM=o(K) zhZDnx>>s#`b;e5OXY-N`#Ew<5W0C&ev+JW5r#CPkZ;>?!HrznTq()^j?2allF7*Ddr8Yp*{ z=B3PeUs*o#)aO0P?nj@=bH(UtNAQc&lHCVW^KziF`c`)?wN`#L{k!{aSZiINGoYRD z%~hr3_bYSnyh!ylKhE)UJ{fpg^>?*D=ZgNCwm<4we^*ES740-IEim}|Cg$<2yD+{R zY{Zeqxn#4#HNy`qV+r!77)e4x9&uK6F@XP4P$7 z$2{UQuRk=~34XO+C|`Wo_^3F3?4t&KR<<_&%t5z{g84kZ46c~#gZ<|KYiC1dP4_Zpe2%4#Ju@6pE_sFrH$Ycg z{{|glKCk=}>PT;!zE%7n=!t$mPvEKPcQ5U=-VXl9klF0aPeV62J;J=q?xIsom!K=_ z*hcA5`P8OUut)LN_Uy=x!@2u>n#A^OO*FI=9pv>_+5gr)u=M}X4QAI}eiXkWpFG10ZH?B% z`3x__FVN041FG;`h4Dd2X_EB*+NAtf5c+r1k zUw5MIh7VNdz2yJqV|i2a!uIWAt=f@HtP$=y`j{u{J%gKX=5drUwLU$;xPomN{AhFZ zF`dAd_X#%U6T@~pu*ErF@&5gpq50aYKO}iY9vPQhbmVjlAH?JXdC|A+*CR8d{NBv` zl&|?qucgo8*?oMJamtAu+u42fjn4SI&Yz91-91v@RZ7FV3+iewdq;nEb|1N}^jcXK zpR_puOXWJjk6fa6YX06#*7Fl%^rv|b@zI&miq4u)XV||pPVqANm|BbX&fYB?eYtVg;;6SJaXoZ}JG|zFPmmE z3oq7@FP+id315kK=LVVG;^k@!G-7_rKMyinU+QHRSs32}Uqx$QlT&PCX#ueX$*In( z_xZ_^AO7Xr6>;>!kkzRk_g~rWfxgS|3|16VbwU;c@ zpUE!K=Z?=zwkuvYDPB58|6c^gBjhU_#c!{8*{(0}xX>7qZN8hz zw#Tt#`>>BkG#g*KyNd1}y{94T{p5g1)}ISc)LP)F9&*VAhhz<$w32u1hVfWkc)AQ7 z)q&68{Rp*lxV)+H9=yGcweNt&-;|8#>`T6`e}^A^)jSUm`?_H-LhVFfea1IgZp)q! zpUCEo9GR^`kJ!A)jrhf~TC5=8);9V!!C8QTjFg)Cy-;di|93SI|$z zKG9EKrOz-&(NKCpIw~$VynFt9w{%n!Ia0hw{0kqO|5ptTQsr=5(Pn3s$&M`G+=z6*Q8HSezySDzT4T-xFW-<9EPARlLh{(Gp*Eq}iRfdMDHg=~DPddQ{(G zjV=Gv`e5$rgZVV>r3Lm(2C>iM^LFbF*u!;va`8gtO3J#etoc3gejQcspl&;O1;_Tg z#P7xYMz@YHrhUAIifoJBRiJUCuNLO@xA9#^($IlHS9bKdJzVi4`k>3vEpI=jmro0P)b65RP^3NH| zVe18OW_!SaKbGhDBj{<<(Zs<_NAKxL|Gb-Z1^gJVD{gx7%wD~_B#ay54_O&;_~VQk zx=?u0S*jT3zXRq^@X4=@+&V~O9ThFc<{IyJPgI~c_exFr?^37x|6~7u1GMZ{p%cl2^^&BdvPYgG5=j$Gq8n2pKp4{AOI>TgI_xLsT@CxVXp|7pc zz`by?AAWgmqV?_$yT97#48Lfd*o&O>LXY5Ig_x4zVuP2_&c@wPDxXQY@f*17?A(2A ziT%em>f8<;Lf^*o;MML?6VIqG8xNZL{-h%$Cx*L4{(Fi4?n$hE75M1umTFIuyNeS! z0*^D;ziZ^)XwGgQp0zjQ*&cQ@mh6ahqt}TUpAQ6?m)@UC9q=Yw_8jJ;`Kpa_u5Eqa ztY7qx*2C6sS3`cXepS{<9pyI-8fcUc$sz1UZ* zo6TkcgW(aKFTNLl2Hp(#R1AW1SR=Rlv+nen!LR$+G)4lv5BWKCGY9pVlbM)*%H0+p zGu|l^+tGb$&|ERI&W&z=Ry<)g;|nuV!<%?o>pIp1(q+RQC&I($80!rB-ryi^afjA; z`{t%My_5V3WFp8;9oeV-Ph`_-7bNSRKo4;CcF$EW-IP|6-=CpBd@Z~4IP1gf_PXyQ)IH$qvhUCsPcakVhp*h4Ai&}G zq>e^?Jg3c#C4au=;Sx>td2!rllkv5_7y z=M(4=+V}YOwWvKW`ZIX!oq}QBzWrb`d^CYe_iPHTqfx(Ki|`cqK{zr$#M3wQueNpH zR?m&b@I=M)T4`p2-{d9OCmF8oYteC;9w{PposoJJqD~q^B#T z4kt&_KgjAh-@QEr+u&`ZRGS96N2_*lGL5PEXzz>8k!Hj}e`){|N8Cf!8e$hHvSGa1U~<=!C`vpo$Mn7zg@m+oRb;gQMt!Y&>yBNrDHve%C8c?*ZMC$ ztl#2a{gzw@*q3Phe#Q1Z?$oDn=i>~#@AZ^$R|0pR{i@>N)EffF!Ws1fZ3aDUIz=1s zC;e;lk(@FgemlJ-AD>u8MY@ObLG+e#E|nYa_TkvKldbS^=g@zE_b1eg;r}uJwN{DY z+&c}N!yeA>(Z*;G?-|bbHr76I|KFk>;%T3lw*p*);8g2>wHfxmRbM#M`kvU=DaUgQ z($BmD{DFVl+Y$bn@WTjg?YYqbn>X9pyg~Tk31r)B-WL{6v3X~R*$9tS!N70oIe7Rj z+Sh!!;8g!1#&c#P{yZ|2a90oZR`-i%ykGY=#mdC{qIcM{3bGscr9t0`M1G-oW&!Zt zrM(62Be{(GNEAb447>AK@=LuQ$!~R2nlz~=Jd%g#-elJubr7Th&guQd|ystH-!n z<8T#tUUR4xaG<$`Ptv~o(YIcVjg#Lb`{vJtg)xKgs530$L9;#W($oI8d=y{_HmSbJ z|DH>oBfKw>KC30_a2K@wUV!fkOd2cU{tkV2&y^2{K1P3q@rMIVd9F2JFSh3(-&bLK zy6}6IduV3@ur0b1Tm4wh8+}yiPxA|9)!E5J-tQg2HoE*y*+%Y9OP(pa$S3y>-zNTM zura}|X#H>d&9W=lLHjMc;`L*|W6&XA0WRfg)UkQeYj=GGTd)%Rtd!pIeD3KP^u+_h zJ#8!&vogQdRxGC2uI_pC)3mE3yDzABM{?E$&KaBdy0b^{>8Jh#7?vj^l>(pEm!nH* zYrddwGsgP(S<~?5dl-|oQ%kw|GoFh!s$+Z^?&*S$L%e9(x%T976lCHLTJ#z0@U(q; zU$h$Hrvd(0_N2qWh3RMiTl3HyOn-q_{ZH_HKDror^6O=2^OM+C1$i2vu4q1vUad+# z*i*OP$d+&;Un=2VH0-KdzsQye9`9G^xxK4Q&(URJoZ%ohJhwa)$ql?SMQ-rLOm3(* zP9MGW!J5IzjW3fN;Wy6DjRoI4<*|ASW6{Tyu@<H9qM=A zwocvTerI}PBmXxszVyagesARWY-D*w`4;7BR$l6C?=ZfQaxcyH_H3A9dq;P)rJI%a z_52mKhw#8f$=%B|zfeBwSyp~OyXTVhICr`nU!F{qi4mSynM?rS z-MXvw#7g!kR#~jg?#{WZP;UKeEy6gx*n<$KQr^t&03T!7I3IQ6XpBGNnPgP7u{h@9 z#NwEWSJuH7@-11M7}H%d^W0rC1{*s5g{=4gg!f`yCs?rgI-{rjb@ioK=osVeZ1D^@ z4)r`Iv9@Y6D&F8Dczd5f_jdDtt^V`A7WRQ&LO-iI)ImTo6e*&I~<0w+}75TIJKn=T&_6`Oh1p-=XYWzK3boES8u**Mp6O z@8WluGB1m@SBTqaE_xSuBR{T_1?ZDPJM+X}CRwc^qEe${3)S>$MG zFhsmn4SOq1c;;v;oJ;9QJm+{PoGp+)*$mDWyfYAD0!5yPVc}U7 zelb|^X)-!{-uTh4z#IQw;|i9Du6EbzUjR=r_RbnHd%vn=PiqLtt6~Z!pTtURUJKoN zrZ?h&VIQ}!HsIFwO=Gzf51^Z^Jvuq)m%sycm9>LEzpkwZ`l}om#udMi{s-r@HGOt6 z_>kg((#)=m2h>LTgYm=z0cL13SMi=>lx6$X#QtSN#wfRVICE|WC-P@wvgUR60-WeK z{-c8nT{h@tsvUgWd^`;Q!g$&b$o9hiBgYiKG4Cm3#(N1v#0~Ky?^W!Om?QMHxPi&U zk-Xl@_(1eS$GKQJHvRjTq{A0_8)|Za&&E1tF!(!^?I#{7f8kAv>8pH4$5bj_-C{ZoMHi%$`zo&rqCT)!?weg?h# z7|!8$J*(pfCfxOBcz(mGbgplop!;)rqTDz?F(5j@7ZrTB8a$=54P&dwX;}$9R#P6y zbKncseG_Uk&hy?*{8!G@p2YVIxo?%7=$kFch~7i@5M$r_rsRc{@N#+I+Ev7@%du|LAt zT3hV{Uc=%0o|(R#9If|JF8F%1P9feVINwW|_)s6gO6*$kfMcZ)50EYi`j6+G3%pE} z7Fxd2K4e*a-$6f$!P#GvzC&Px2KG?b^30 z-5J5C^@!SZ&JMD9fx90-WphK>f=pgN0S;ENmiPqoUe)gItF6vvy~;RRR~vplvnqWn zW9WYTn2(D7^%c~~<-GTc|7NkLUUv5(#ry~Fjlp|bR}sH)^aA!?bc%8qr_h=h?HDmT zqcyNz8)#i1+>%qFVwcP zJx|loHdReQ^z(UYi!Kf02HL5eXcy@A)2BP$QckAUb~WZzg%&m7 zuR;r>K_~d3ooHgTICN<$*v>|a@6q?vy*HM=$c8 z^%1iH$dlf|DwtXu5%ktB; zR*7u$D&ZG+v^W2JbZTXWdtM7V(LZa|XB#m8F71e$x;^4% zZU9E`GFLcwNVWyMRM54d@1v0qzniwB;8pG9YrI^0x8?l1VRP>(#{P%BL)m2W@3hYA za=1KD@B^f?;W_8Ol^ZY&hTKFe177JL@Ezt29!G%J%7RXk-5I0)3$+jI*O1yniR%vg zxhW2%XQ9oys7+mC%BKLX|KV&eargMFOe1cUo4a_mzx%Lq*>k)J9z^$M^Q`%KhFqoN zj9um(+!e)*nQztmJqa<;UC7C3!Tx9dBkhdO+a-&vm7!IY^@8(>{4>cX<>SzTXNGg* z2hF$B!S^`xjox$3)e(+68)*I~Y)B~TwU!_DGqPzs(l6BT+CF37f{+`?GRGG>BhwXft z?S0Wkx^#3NF<-Tp-=Nq9cs=U%sqFzOm*g>U9ds;n++W_F8>igq-^Jm_m@&KaF6ET} zk89mon;P)GKFF@dQJ>AmdHAW1)5bVoh{m}_vN*3#HsVlb+wqaBA%=k*1YG2D?B$0b z7Zqg5;Cp9e&m~WOe+63D9<{lz5+3188{5kD-ZNj`M!D$-+KjOmmAm`j z>p=Avo+W+sS9b3`h|5)G{gkQ8{r&dNgC;n0ur>Igtw5hL^qGiorat3O?M?r*KJY@_ z(_Q;%l+CS+N6Ylx!+#%>szrL-ctbdrj)r&55AbW!HtfU6e~I$E#oLlCc>P7l)+l4- z?&CPp$W04*BJjES`GQyS8f0U@!(e5;PwC_<7r1p0`rLBra(Nv`N{@`LBlm7?GC9WC zt>debN#erx-s$>shIr~TCh=T*IC!(`9maF{~&A(6{=AF$$e9pYSI^EoR{y&~Oep6E&D!=MKXzqp&WYY8#GI}BS zICG?tiv}Ot-hlQ6`uJ#10QpOX`HpkZ^iFNv`ENR8HvO@-Q+$QGE)FGqqjH}gQuqE6 zdwa?|o#5Rcckja&nk)HG-38Q@JfowFbszS1wI>?dpO62j_L`4-PjHljHdK0~@|-_= zw3_VuSLuiNysP>A(pRfkqo@T2E$yBJLo~q zoYRHGyq^HCrVD?va*8gLJ{ULoX20m;joe#}_1lbfgXS04fiCcX(N=Y? zPxvzairX{S!KctZ;2b}GgmLq{@x6yOgtBy1r`y|WE@9;v?tyGQ-(EG|A#eJk_O`eLpBE&pY;|1EpEir+7zj>=d1-zt|L zQn~DobkH__YmB{&q2K7w`n&o4ZqIv*6Yd6g@~tzxy7ve9K6KR=I;P6E+H3vLQ{Y)( zO?Kj^tm{)gu*<#cPbPJauD%v|+Uw8n6`l)!-&GyW6@8Yg*V*Xj8_nvVvs6F6E5yzY z>wQuh$NOWWz;WbPX&;UM*J{7I0bix~&a~*6tsU@PEY~I~*P74xMY(W-k9$ikM-liw zsQ$4XVgBNgZ0&^I7!Eq}LF7d_uTfpiPd3DGQS<{>Ce3|;mC&%@3yk)AxFWn&fGaDH z;0=BdF`@bOy~yHQ#7o`}k6=AseEweePJZiqp<9dhvd43MRP7`FF}xh`cMqU<;=0&# z=MxwE)*TUk%n)xctpNAp6W_P)_Oi7ixLjX^85$XC^UVzJGH z*2=95u;=i#;Hk~Y>^=ScvHIJFtj!g@kYQ|nuhsVQ3(+lQ^L3qm z>1gDZnIEzNU9uWo679Js+Sh}REe0@eH}4v>cck4_qCAV&1YZF-#~H8M&bZid`|a}> z%wO2#^4Se0{O&rwu+{0_=$ahZH4%8pVtPvhce^(dG9$yK^r<~^T3Ke;fwoCeX@r=M$P$l|4i`aVoLqF^QWhE-`#`k z`9CCyo+ke2Ow{~vcJu(6FuG)dsp2m`&o9LfLLPP?-y(D zNiZyj2HH1#8L&tXsQv-s;JZLIqSzi5xn0S02Cim?ONIIvcGJY3ECS=i{u z_G0*N{h({qPs{PqN8&@HgK&XQ{c(S$&)Sn0qxQ=6UwuFKOA0T|#z*drp94l6HE zeX=H-w$F%G)Ak8%vOZbcP1|QgNAr3aw&x0MWtbk9KJDB&w!}p>CPb}{n`99-ZNiKu*LPAc*CScC(M>c`=Dz877 zi`x$i`iuU8FQE0l>_2<+*?hduz&;H811^-0tGhaUx%n_QXPzD88Fzu45=9yQXyX!>s>SSI+OB`>(lY0Ncf&T4>2e9d~yPZXy zgbjSt)6hxiYsGxoA3ogK+0a{W2+x?4J&W4^=kScV7N6Y^o`Hknvu)uSxG6rnhG)uI zRSY2LgIavgSJv`S8!ErPv8&m zh@1voXYUbtEV`RiIFDpRck^5Qp~ii`wU85SWzeK7*++LvE+3B0iBXmt!~1HgI}Sb$ z@~#oxyHh)|UAf$I1)s*s#%u2bpNmh8!RM-@xg3OduA**uXLrmq+Sg$pY(npyl7CT# z=kz@TKKp0z`a|$&d2--s9N+K~>>hZTsGT71NVe}Ad}I5RNA)q*2Oq!e%wFAzE1hEc zlHUP7<(vK6Y|d4{V_6wv|6FD8R#wKiPpS-_%F2M_36;T1SsC>FXO+Q2Ss8GSsSN&6 z*}neku@TX`FA6q7`mL!?h|Ms63;8U{3%sbD9P&v#?=;c7it$ge5t3hIGsydJw&uXE zgMVZrq|dYl6YTYlh&Mw_-^$d7R zFJ^at#Wt+~@1W;lTl>Nv9^S)s?2&XT`2r)yfn!mWKNH(d_HIUqyUy2o_vB*cDjDr;Mx=u`ZuHGc3nn7eGP);}Q!sk0~2v)Cy0 zQS0YjP0%UGNX_eH-Suj8f$t9R&K~W%ST0i8$&SxOvYdB6zYMp-VGkbrRxx|)e4#-P zTUFzV=IB1Ht$IuFrq63KUT%>3Y9}av58#=ohbh^qTmZG9E_V7W((8^tGdzrI9PVDX_Tcm&Fy{5Ww-w;HMtkv5 z-tXCRfIKsQkA5UmLoT20jOISH;}m(96WV{Z-;5)8>^JjZz2Vk7k<5hk&h@k0dS_ob z*eA3klua6I0e~zNqAo7c|U8RXpAd)#u|M>_?seclxZEL`w=Xk=p5HTqIJvu zSl3v8qQP|iMeCnw`|AksouxnO882uJI~{yw*I(@aG}Qytv;N9ae}0WH=>00$FMM7n zmu2q#1NT8L2ff|Voz4f#_u%_BbU8NF`6jg0omkWLGZ1oJkUPD9%*mbiw~#5x<3aip zKleWVIye6P#N>kAWBhS+_d)Vndv84mZ%nm+wnnDC){OFzHSZWk<(TR|2EmDMgKyS+ z&S76&ycA#!^Y6XYVCzyp0p85titwTF_klZ_iOnyriJ3v29E02+1Bl@=N6JI9lvvig|scSNX z-!pBW3!^?e&(bG#t=`*tV)54kAeEPiXEPX~cf7(9LgBd>8oTbl5 zXR1$pN__VyHaC>Nzp{=moW*g=-e<;dOz;s#XW~2ZyL&-nZJ_@NHvaMOjM$oRZTQx+ zC4Cc*hG$C(&#-r24bOTC&#-@gAD-bG=K92DJ`kSa7v`S9v!4skkfq!+c<Onj^Fy|B?cjy|;Tdw4dj?HE5S}4txo6Pkz2O-$r)Rl43(5PKyshiNX(bPq?Fu7zE|m>$2ldd-tS%gAaR;oqmH;d-tS%gG1hF<>~_`ekA`X2d?@m zbi&Z}wl~m=jvhxw!kVl?T(ymNla(kZuWqEwp2dldWTJ<;=q$(yc!Yb5C(QTv`pnw= z{ExqJVO(cb^Ez{c6J#;m@1(nca=zXo7w6NxZ=>XA<6BLPZ*u;l<$B_q)i-*X-Y7rK z`NfqGe^7mVK-oR34;wR`ocamMRq&Xvb`51aPfu1-ekR}=T!A~=Xsew_Wf;2Tq>_(JeK^{yh_HE(eB z(@t>qyZ__-4)x^M+JByDEmx5}R(H><_?27-!?oVECL1j}2w&JM%Y_h*M)_S)Zp+?iZ30c@51*tD zJx?AYH{RE6^wZ0`6v0WLZNM>Y&xYe#$Q=tfrVoqZoDIjmo_OwDaa;{C1@(Ov90&Yb zZU}pLh9~y#l*gmIO-;G~|FTo`l3H&;|xqCW(E#l~J#kWV;y8&O(GrQ}f z+5|tM)33^tmEdo}Dw(JnM6&wrQGE3H;%HWSv1#zw*P? zr~GoA-|Q`UxQII+&F;IvJ~F@T9(C*}3}|QYvQEUNHRpvO6NV3LiFgPaf=7$d z4@B|Lad<$sF+3X#cw=p(XVE(JmMU>ri;vQ;&iZmURd&8`*vFv6+lq~f=0#r8du5F$ zsH0~tZ$I*j<29Xd!J2A1T!gr`=4Zb}m%ulH7l_?e!uu8iKDxk%a$r0@27_JGoV)V) z2r)PO6y%b)Fzq%*^B(j(Io<`I^w1}CR!&1)pRp#&Ji8`p7vqcEl=)VlzFA8PHmm=_ z7WFwh;dAqI^szX(bcN;+(JdE0FVf_5XQK&g6+7zzj>(ZS*eu5H_@*iURRa%se1jWs z?Q~Hsi&eTi`zlTNMDP4jE{kAQK1p^jNjZPdoX!UyU(EYS@T0Y7`>77%1jwbyq4Xkp zAjb0o;f*!!IPxl9wwyKnZij!6vskXIPP^+X+aE^eq&ueaaCD9r9_D>WBV)@s=TAIO z?-%(#vBn=D)BijtnfM_xtoGtrqlI+qR*xTa;$VnJ!2{CI73#{z3U$R_Y8&EFt@=3{ z{Nd$Jj?Mq=@MCr`Cgmp?yBLoe47!83%XkOl%byqBiPr?#5U-!?l8@_RMaZ1#7sa?v zmc9SXo>pitdy|#ZwiSOuH|J*or*uVe&JT+(`lsgbg|kS~(Z2}~^bn7!%;4TQbbK)$ndm#d4s)1UT%v=;j&eF&bs?T*eIMYd1yRLKjk zj9;3{7KAfPy}$;)JA3WrK=efqU7%0xr`_w7i(W01Y24aRcdQ5g3v#vt+05R9;peLL zW4XyV#XdDoaqRp!(YrAUb6W;}OUT>%l*7?V-mw2>8%1v?VNEQ&eu3G(wBM*F@A7&cF%LZ84TTA2?P`mF|kRDChtEbGhF6U>2j)4>|v`J%pcH{)r0 z2WNAh4fNLCiw2MB0B0Y<9L0~^!FjjKw_^{OIzOaOqo3gS_9WCtb}j&~_Wmi0_x2>* zYtI>XV9}k9+`l2&a5fA+%+b6Fj)dbLyCmzTI z{*P?M(0PxXzWKrfleaB8Fxh`zT9q9nRxLQ~{@snhy%CzO^L`Mq!TPJg=LvUD5W4fx z&CFZ-mi1lUU)hCTU&orYz2PTS=lQu(Ug<% zSFq1Gz7QKN-V-huW6ihD>^%eT2_}OJKC8&ThVORaYjV!h@~oAw81pgk~R0IC$qlo`x3HS$|$3Gq6 z-|?CC*=2opeNgn0&I~zq@7Z2E#z(b_TyIp0QpLOp;9{v{v_*oN93;%a6O9ur%G9SbL zLJz;zFUBLlWirb={(ImX=wfBiX>Ta&2j2_N&P)GEytGiVybWG@C9zpA%lRC=)5NAu z-&@pcOGP(}$&S{#82F%bA{$BXHX8H9}{`b(pX580S(> zlQYq@POwenNlY1I(Ay<)Cm3V<)b`k>VQ&Mqj_m`7f=6^Snx*)kR!1=d_3OUQ6Gr*qL0?KIsJC{u#cWov$p(H>vJiS~~wVOAS}ZRLS4D zrFe3}JvxdTs?7eYJ~++#Vjk9)>U_!F)n)Z&a}OIZN)FkZZoFeRFDn+uMOIGP-ZFQ$ z*}k0iCAI$x4{3i)zKdd6S^iQly3x(q&U;inUY#un`AxI~2ZBv~Sw9|DjiEcjm$oi_K;tQ}gs~YXYu8?YP5-su zr8%o#aGl{m?e!nrD0YJUfje@isCymnY1Dl;S9yLIIpwbJhlh`! zNYZcO<1=@|UEnXl8}pas;MX;dbOkb|7-*oc;_1m;C*O8Hyeyc>m4Zj)58l9eI+OKs zpOv@47d;nph7!D5+XV?eEzi`?B7SQhT>X2#vvT+@jLltWcCP<8ZA$0=-ct2-C1Xr! z1AlAoQ(%P`#fSO$T$B&m?_)=07)x3O-*-c)Iq zTQjW%=C#;Ma!E}0Yy$4B_$>D|e3qYa&Qkm9*?I#XdwezXSm1TjWAJV8O(<8M%J?>X zlM5PtVSPE{Ea%wT0`&w*2nh(C}?^UtJqKI{LC?B)juh`bqUl z)QfPL2$zzjhZ|>-L;wGm??e2rwt-&~n_~K`$o4~vISfURf`B;k| z#m9m^8LV3GXkD=_8To+L6QNvr0Qne;ZfX`(l|nR{>gKxZZhf*{CfkRb?ys2~Uv z1VIqQ2!fypf}#k5;P+m8t#j|mZD&67`hEZUeqZ;r=j{F7k87{J*V^msv+vGGPuw)K<9k@a!v%+8TjuP(^?Jo+wtCO z{dXpLpZ1sw_&3sgrYQ98j%5Cw;~3%v>|OK)Y@pznm$O5)tQ{xw{BhVX1^s1SgQ$`< z2+~D*u0Iar9A~9qT=99~#rSq|6w0P=PP%;51sjyotJAO^Liy-j_9*0|bH<}MAB`dG zJ$U%b<9^$<*M@NlT?4y^>&G1NIqKQ+m+{xnE?pZ%_4)ZdYx zeJt1aZ_Awd|D(*ACiy};w0xmm^zL}THcm6OQEUlK&q<`C(8frU9)t}~b|%))Mzyue zkSVm4-e+fH{s_ppi3YOIXx&fuIp!Jge@o^k^qXCby@UUKncDU_*ifwzj zQ`3tvtL=^*cK&8b7-K-jC4M`BwTeGWoCW#u8-pGzVyUk@F~V-I8Q{X;4q#&7=l zx57uLAE_PYztbLzb(5G#%vIK7Uf2GyCjUf}f0D_6n8`ogrMVYnEZb-`8S#Tg(m-5CV#2P?=|_in*3**{C_q1 z&olWiH2E(v`7by5uQK_sG5N1E`EM}!Z#MaFGx_f{`FETA_nG_;n*5KL{EwOZPn!JC zu>a;+KkckN_>*P#Oevr1-;uJ+GwJ+}=WqIDIZma)b!LKg zR7S%2UC))o<_&T9ljb7$^RCp>fQ@}r8+NNPL$hE?J|E9I?#t6VQWnt0h44>bJn zOv^IHFD71-bgBE3a}G(U?{u_y2PY+H`j1FRxahDqU-}{YyT>cPov7A6JSl6+F4;CM}JoTRT z>%Mv8Y|TH_ktO|+xjdozf$h`oIkZ#U*pDZ)nX@4j<^}RK(EnoQY?wJGUU%vc!P554J z$D#=dJU$zje}mB)v*DxV|MKKTy>!IAJYI)yN;q3xI`Y%8pDq`EKX%jHPqK2?eP{GT z$M4Ha^Zmu1QkCWMxx8CF#a@-;EZw4#)~n3oGMCCMFDX-*SwPviSFBen5tD;^RVFap ze7DEvDsXIa=DUWv)`? z1OZ!J+V9v@?svGh=et}5K1YdjdvQs5iKEc%*%piqso+0GmU&%1U%A(%3X9$D;?m6u zg!p%m#{=RhEBRCBo}rR)C(T{0Qk`eJO6Q(I$(KDD{5M3rnVP-*mV&Mll@pwj32R62rJrvsEMnqNc@?enRmmDyn2YPEV* zvPz>z;>u)|o|%msf$7OAX>}@Yau20FLa#p8hq^({DA`&-fH!Cqihi*Xjg-L5xXR4KHE7z!WdSt9oXQpJUmFv>e z)&JzA<)o+lQT@;F*JUK-q^-%whCeGMJ0)xVnzSqeIf)sklbe~AnWEiwt24=6pP0U0 z2Y~pTtTpKrmbETj2PLPhPRvNAknA<5smL@2=h||oyV$=&rMpTu`-@aEMxM*>@~V|I?$^8Ao_va>JPq?ym|8|I^!o7Q%5t~g=kR+RkV4n~6zD9$YPX?vUdNxAC;QhNtkzXp0KJ21 ziJ&vQ#hPeOxgX@CQYak%{&i7OTxzU3BQYxjeZSO^y~79n6l|^24J}n(y2P4kiiBNX)=pzg8C z>sMpZ{){!rDbRTtr-L188^Xq_v8SFobMB%AzA+Gng~2C6R9dnYb(QJ#V+@z7u@D#| zC0eJ(oQhKR%TGB&5@LYPq@pQmzx3u>_xBt1ftu1{f4Xa{%dJ)ymx{-^JrJ_q<5swn z%DtF-*T{4jLWpi7DF5GFb%J7cn5kt-0`zc#kmq8s7#+4iKNqSj8vdo2vx#JnH{DQo zS<4EY2@> zl|o(u^l}DMd$|tEknVDBaU^nl(7y|7Na^+QjX+xS;7c|0I-B2 zQqN4zN?ex?!nDnslaeVBVn~~UB_b<@jO0<_T$Dt>?nbm+x(MzZ_%|F5jknuFv^XZjU4MT(sHs*f#hYX@OqNHF3VuLPNE}7wPVg0m5Cz^ zUS&JhWlO%$h-|z`1&dmjfq|Zgm$GCXrXSfkYcj$314Yp*P+G=1hTO_J8-%BZ4$#r#?t62kw=E<>UHTkX_@J1q#H=$^thKdGDpgWOuUn3 z=)O1N=%t8WKpl`F%$}MJnq}+LvXjh|9@>G8oluL?p2?F$ph-iAmqVqnV|{^pXpVJUy;;h+cjf6@qn?4Rez`9&Z7R z3U-5&vbK51T-KHrtj)2s{8Unm*EFm+%}-YgREgS>=~N|Hftru^vjwrSu?X3w3jM0g zSFDOlRbiQgBdDlMl^}?;qSA_vxZ%TVDJ-p})Mr?2!mHhM+)J^Blte2+3Z{rkPCQd3 zu2xu}3cfXJZM4+LuHPDA?)eoB80nX)HJMng(pI&mMUnbZWEU%K ze<+&Em6jz%bEwi{fMrNbzKW(dWPnEFQK@JQVv#I6ThX9X)L+yiSg=axG>RrcMH8MP z^{Hr*q2{Gg30aD!FUp}O1qHECQ1XiOIab3m6_$L`z_t~MNDT!}s+#FZR;x)Y6{$L^ z6-#W{DXUgfJCYRXMwGl(X)U8jvw@SMAoS84i@a{X)(na?Bi8ev$`q+Bm5QutEj_aI zGoX`bkxm2U-6Wh|xG0V~k^0ebs&bWX(3kRT!7%WZ8}_)P#8m<_-r?NpEOyg!g(~%o zULOj^1eSjsJ`dI%ybfB{rS)1@0p$ur`}9kD$f}Jj4XM$=2Q0`~AM!c3VhsVSM6z}R z``=WDue^*b_5!^gffZtUzjnIyijtBQVOo7272()cL<>&lQn)2pvywGu$*KtpFd~q_ z;leT$$%oIVgAd5iNMNQL*0a;$q57NZ-`BL!xN749vjSbuQ| z)_i0sBA6*(zwlEq*20P3wB+OUxE)FB=VMLZp-VAp##9qnHbP8EvELV@idI_6yciN* z{|=$e$VY{Q#sx_L$MRiFz0q_}8Sz<4@q0X2=PAX5LcoC$?A^RWFNX%&0?uNAOxEd$5R~D^XAmJ$ z`r$ySoDhp5NQaJthV{)YbE9tw=k<-?ML1Ivb3sKlZ$ z=;9t_fzsVTA}4Et)Yp0t$#O2qAW`U}aRwRUZ#Sb-7_G)KvdcRk0t7O#676zx4V0To z(Mw@^R8Uc6l-S|Lu*cdhEys;wpeb!2u9O!0^6~oaqb%F!>QTy7@K{3~dhHowWot35 z*;3a35M_*6W8u08i*n=0>`#ue-TCpRyaYRYkM(Pc}xA!W#!&{ zQhUK5qdN?Cfw~f>KR9NLr6Kei#LY;BaaW4|8&y()UfsuXsH~PypD`U^K|am%#ifXY z2#LUJF@bLNyS9%ihz84k0Wz4BNp$fVk1qudr$g7|FTy&#&kq@N5X-1=tjz}4h9O<- zKR|As*Xi?N?nd7rqtk%}e8^D-wfEoFhCbBf6Z^1YjI0>t&cNU{L=5OzabFk13H=JB-9;Ht)kO)u*@Y|<(k7c zp(8L4%GZMZq60GkhB0aD5bP-MKo*HS43zw$K+9;98#4vup};)#nCqaaj%3#SUBt*2 z8fR{S*{D+6lv6nznNBR8F9@-k4+zx>|Hqd);eaJ`V2UHtk?6>9q&Up)KOq@TIA9T} z#+N3o2hV_rcpdUlEF?eRfr|)yj3V7aD?5%1{_N%3zl48N1SedN$%ZC?nFaG^791dN zAm{{zx2BWjt67>Je#!KOZKZtV!k4yDmp09iJEOd06WZq~bQquBeWTI===VvgD3~@Y zpy5LjA0REQY5C~eSLk(sw8X0aI<5X>6UXc97t|Z z11$3tK=S$9sY5Sb?$cgz!2E&EFFQa|TFcx≪MWBxnAP17^T$9Cb*5XconE zvWP;`qk(woGm58gxQ-EUd~1qSN;~qN-s=G*fgVQ3b1gsY>>$D7CSMi z>palIW-bQOCOb>YXntlQa*CjSiahR7iJ5ZU&XAJLB^v%f$%do`M9@ePbTO5{Xd?#x zH;HHB9p=AG$`jQ}e52H}mBID@rk2FbOwnj{L!-u#9Wrc)F&HuQ`b>m{riu$hV%pA^UBkQAk?gprQfGkwRa)BcxB@pwrqB@Qmttim_Dh4U5_ z;+r5=A@C9_N}M7kMn+^ZUTLw-Mdy;36zEp!JtAauY4pL6?4JE&n1VIs{vZibS~j-E z95@e^;>e;QF0}+``(N67+F0e7U9uU2V|KZIVw=SASesMjo7HF?u^Q&JLwE@$)0cUS zMh69(T6U64>4c*gsQF~XjB41Z7`+Y1h5a1*qBbMXN?5t0YT=d{rHyVgji!?dO#^^u zA_(woGVzN`%UuN|2lGo7srjq1ETK~PMS7hNd=1Ds)vrU~CT`u#yNyoYHn+%2F{Us_ zCVlqRSCYr)*BcEP@;)X<3awgkehg2!PTv;l)B948fRqWgJ!zwQsa|hO$>OhsYIKwt zX(@srdVNdP%mpX$ZUluzS9nRN6bdHA5-j-NBXe1lN{t;qRt$6!d0aCW$Ie?Ei-lZ- zV;Hd1@~|MCiFE|yRbnZImg&+Hykq7<^sm>L9cYAysHstTKso;Vc$=6c)az?nYaA#k z-k9@?puuR%59MWzz*KT+hR%SFlK@^jlBVpJh?b!6s{fx8>4g%oBd{aOFg{pi%XU!E zMH)}{)jVU=@%N6eP(tJHr}45;+LuT)6_C})H0Qpjg4YCik955a-Wli4+s20$ZrV?V;A64 ziD|)?R!RyzZnTEP-VHO4Oofm<3zyP{y8YLG|EtW4mYSA8^}zaXs>COR;KC`$+VWr3 zb@EaSi~UxUomfx)Z?Z20Z%nJE!3EO;Fer=$tthI(sa2HUPSw z!l>8bP`_uU~lw5LMpZORH;B~2n}WXG;WjMC|+ z8XsX6o}@p*7?LdAzX)Bat22@H8wP9zh*_Q=Bqcf9&R4cfSt zJ>!+tK2cd56P4;YLPbu&VP@S&DO=xE6`4B?E>3XXcZ{;e9;+;w$0~c{bQL{*ma=T0 zrBr;ZvNXji)qAS4Y=~F(ws@sBBq&Q!f>KQ@lx1**imF+qES;;AD*L^%kKjk>8~&v1 zMS1uE*|})`c}g{0q9S%yE9>mb@!OcIm9-3~Ty@=~>^pB(s`Ykdt-+5(aZ0Df|FBYf zyOd?;bND;eFRF;CufTm>+3asB)%TvV*S@c;jUT9pp%0Z>^0~6_`5bxoDtp-%%G&;= zQX9WlWAJMu)%laM7K|v{o?n&9`AtPlwpdivSc^S+oWxt1J`Kvn&zg*IDdU>ny7Be=OG4T#Fj-vRL9=7PY}^iHP=FRC>83 zB6qt*xzDj!6LwnEoXagylWQ!h^$yGUn%x$)_kPQm_6IF0bH|T9tdJHL`Z6RpoYC?USFes-CZ`*2aBS)&8|L zs(Q$({NG#04*h6VO|_h0vkaeLQ|%|)EZryD)SN_{ zt!RZ!^{ug4GuPTw)tNTC;}3}6Xp3mhw?*&SY_nAq+tiXWnO;-I^U*ZFSJ<_E=1i`Hp}>nZ7S{(TlC1KHd}4AO-0w* ztj&M7sg4F)MC{Er<+#;miM`bpvEeqGeS8x}@&l;n0b5kZgSN5$f7(>tv$lw?F1X#c zaUCz&l)u*&mHfI*4ZLNGPUyF(g!gUMq4#ak@dGwh^qI}J{KjT$`vvt{?6$Zu zcGWiq3^>wm-+rWBwL0wf_+#xVcDmhGb-Z15&$rvgFR@z(m)N6Qm)ccPygjlx-mbPM z*)4TRIQ-}Lc1z>$?W!xoZri)oZb`r&?QK|Zx7M9uw^wX{2p8JN+0U|DW}Jnx&ay`} zl-Mn8C3fq+Qv3MYa=T?uxjkac~B+VJxE;WFOBhc z?zKBfT>L$AjVFtXb9Oa8OkA8-tTE1W(Jsyh&@NPzc8?O5bSTw3P28i!Jw{xIxW|e+ zUEJS^J44)=;zG6Iim5nG+}YydZ+zp5sW?I06UD_DAh=>G=88K{-1*`{MdFI7z;Efb z`}{$~=@_+m5xeo?uF$Sd6n=y`5avLb17Qw?IS}SRm;+%BggFrAK$rtz4um-n=0KPO zVGe{j5avLb17Qw?IS}SRm;+%BggFrAK$rtz4um-n=0KPOVGe{j5avLb17Qw?IS}SR zm;+%BggFrAK$rtz4um-n=0KPOVGe{j5avLb17Qw?IS}SRm;+%BggFrAK$rtz4*WmJ zf#GrdJ9Eo;cE^buBkm#MP7!ySxW|e+Q{3aloh$AFaZeKW6mfIK^@zJw+;hY|PuvD^ z9~JjqaX%LKD{+4o_cw8E6Sy5w;vOdMOmP>9d$PEvio0CgWO08lZicv7;+`RHuDDKd z3&lN4+){D9;%*c79C809?)lhqxas1aDXvr8VsZa0?%CpAAns-2?h^MVaht_`NZbx_pBML4ao-bnP~0JL ze-SrQ&T*J1?i6uniMv4DrQ)WDn=bBp?FQSOE8&IWmWb;W_Z)H07xxlzuNJpX+?&KT z(%&h#Mcg)VpAgqLkK(^`gY*twK;y!p=ti`$}9T@!tt>zZvh7tc*^}{?Dgh5gN6IOriy)jZ|UgB(m<@! z?4#w|R^GNbdG*R(T~t4D%4!RRZq81&>`N zXmgooo618iOtaTj;@OJ4UKes)H7(L*vv@ zOVqKasN)jV+!bn3k~+n%>Ml48MfT|AUHVy5d6-hR6=|!~rtH;;>FKJ-Q|kA6+&SC* zs?@I9&Zi9B=S5JqJrG7KN2{wXlFza56ySQ|VddO1hDR8MrEoDx>-{mb;Pg%U>ZkKuvWsSUOLC(5I>Dl`nJ!`MG zSX0&c*0t(ltFpSBUazankhtwbBCzITQ&Zlx>ZS}JcK9J`MCTinX7Cw$w!B15*>^1pw+gwJ+oZf&n_abE z!;SpRDvcbm>PDVt(~YdMm8t7&x_P^iy5e0bt@{aG%e~aRhRcby?H5E?T&2!UZdZZ& z66r?nrWEb>p;miIiL2DF25q`q)R4^snXI&zBkU5pT@8FjC5{YGdkWNUduf4dyJ|&5 z?N=1hzE4;9Ej^omw%d!rMo;dFu&atYsYPwC635&=mlIO%DODX2 zUa!ZioE+Nbl68!dhgTF_bBo4NL}L7h-iI{B3eJCXXQ^8l=W_;vK6Zr zxQsq2V*p9_JWlk`ApJ73yo5W}r_PT;Z`LU^hKmc12jzl2uc*F^G0YLsop{Za;U}&Cw)at;pNmM|taSqgTJv0g%#we?g zy7;;=evFOV#;6$QR+rbg86|4@=H~a?HaUGR5t0vV`D)lM;2#k#)g4jj_G~LJErzOp zKcWaaJ)g!RQ~ybX7O9&fOV!0uo-#e2{t;EC2BZF5?sTiGqP^<5XiQuFVxPY_U%eac zS5;#`f@&Ru<~>A2H$6?ysyj)SygYWTdTlHk@-#K1^Pd#6?^$9(s`?6X-yyE=0Sc{u zO6LNDz_+y-^!IJ+8ZqVR^7D5q9QcZ|c#A*$ydBxrqv66|?KC;JDI zp@8R6K+iZsBfUNj-J~8ES6-_6k)iG}O4{}~Jx5?{P==q!740Y}EJmlCJHEKIO#3bx z521L9M56*K0@PkX-C2KWP>I}+6tyiFpEgz>caLZF@$h(3AI~ASc`vno@7MIK`<|Z7 zzuIlZ1?rRWdZ2wVp8M_F@uV7F9g|alv)`i7zTHGrPdC-y+-cN9B?s_a1GIut?%2MqJsBfVP2kyqKVKs#H-Gg8Qcwm$4Py+`cSP!Nb4bgpnIMNwnNFN%f`c0`ys~ThQDqSX8N`2W+Z56BK|Zzq4|c6Q4^d61?pu>zIqhX zwA%&auhq60S)UqH43(qa9_#iv3uN4C3Hx+xsS6g+&ttVcxoezP?HlJ)O_RuI^Lr@H zwUwsjrzWAh4FP>_k~S>SbeDP=WORN_oi+3^^|hEy&mW@YsOJ#a7d;fa=QVn^JxkA) zJ@l;mjxCDU50M@iJVZ0|%R{t9F?5I_Uq2n9?TU)Ym?t0CrTmkgwU5!W{ox33?2*Z9 zRmWs>b--+DolIuaGsrWHbeN%4@8qDtG>GtqZzzAmCnl;Z4%Jj&cqnLmg<_jur{|ES zx?fY>DO6VA4FLgF2%AQ;M$q zjGkSeN5GtT=`fn8-#$!_%J&art@6oXr1%;S(@p;Zxd(L9t6!#kgT3@@#?!Egu05P> zq8ks_YVg*>jRxO!IQn#ilD9meIUcZydJoq&(OXE+-l?g1kDj$}&~p!1Ocu` za}?40JUxe>qq4r4LYB*WT*h80V;D&r&_Qeyop(ggCfaobn)MWAZ-1YjRd`Yz4;`VY zeiYG-A5cUeo>cNvM-Z!fj$q6km&`2Q+Q}5u#uBp(?hCzDLTDrzvH}GgO7P ziLN`6n|dT9=t+v}|DK-JztVHxciJXuKhjXMPaX+D2--vs9!Uze3wa07FUb27J!^Fx zdmp4a4AuJUk)&EHk22dt!$%gYOO8TaI&bYel(*}h2(gJ;kyhJ8yN@E9=#iriY!mG} z)TDL4KQv!eA1=~!@8K@B=kTDi{qFD(W&88tTD%^dQmX!Ogs9hhk0?_kM`)Yqwj;gj zog;%b(Kko>RsB(96Lo>;)<=lkfp&UUJV1)#!>Mc4r&GaPC@VBdE0Xp{i3xc3nud3; zX&A&hSC`J!00v>;JP-j30jl^67v&5}WAJX+fLlDJ0mV3#pN!-$mAe zY3LU9+%(ugpCQ4>!@6WmK@I$51N}D5P_Y*rZP-AU9*vRrDy40JN9?uO6*c z!7s>Ir*(Iu*4_I+1gg+BP~$OL`0qT%5dM~9plN;~`UbUxk7x<+?xv6~Eyzu8lD|cZ z_VC*%ifo`yk6~H<>KIMOcgHXtKclo7Ewa@p0YXrqZgg-do86;}!r|8BX>A6Qg>-E5I9yV;Cj~rqHeJR(9e?Xx_kVzER zp=<7l2--l89E&mWIK;xRfjSV-q2;p|Y(dY#s`lv*+8!x6BNrgjtLRVca90zKp!5XCG=c}o&fK1h>$+wC{x!Q z8?b>|kM*hxrjN3L{yyEWo}R94pf5n~9tZ)Z8i*YUW6g}U>Y5oCP9#Cv2Dyzap@%g7WoYsS5f^`|BXlirMyZ}R zkgGy3kL}YWI5$)1&$CSQoqHUJ5c)1UPUyP~>%BuT67mXMg-*QhXUf{t4YNZ68fWtg>YcOE&v~@8nManc?u8Z5d@?qtMiYi!3a^g_;?J*m$B%M>355|;&{(Cmv<9P%VNwcHzKb0*RjY~ zb=4$1JNshr9PUBtC=sI{X1hvV-pxDIFSFh1*5gSoQ2IZQ*9PGe$NOBH)w9Q!m!Thx zLSICowO1U3f*LPB2-Zo>39t*VqDtB?q0sJ&DfBjk);~&>jyyd{sR+GvpsqPVzlt=R zVCdrJ6R0Aedhi54UXj?}euB1$jz6p1=T}dnoX&q}HnbBPDt4hXn=a+o6H1(ZZ}E0j zc_L@LucI7mo=aPM-BQ56DAC&# zUH5)WF#7WoG2s*ljUsIHuY8B*<<<90c> zVC6;qV-6PV^_$Esb2LqN%u&|-EqcxQ(m8koxCa<-1?q>(4?E^`AhWr2wv3Yfx_1*RgEsV{tYU)wA}5+f^&&_X&xp`%!|GA z(EH_O?qYnkfGIey*r(n?&hD2r$=_2REJA5|&ztY_drI`k(ygtUuOf?Fc&YC@(XBq4 z<56$V)oaaa_dG20=c%vem8;9=WAb}b^R<8fhP^a@RKt2HF(d~AMZGm&i^R_e>g*$0 zx^_{I)V>mB^vLD0H1XiOiBHwW`qXu?&=mAqdv2^=X>W*yLG%;}s!O%SmY0Df)rGL$ zuc@^9T9jke&FT-9^8w;}s<6DO_BD>Dc$(%mIo;0Ee3u%DCBbD*EP#k#57l5RDW>&3 zH5gl}sup;?CBDt75s@RePCy|Yc!GWOb>@i$K6+Vy7I95gB(?)D(D?1SfYQ~Ue~`r( zwVzUo*GRngo=52_FQVt3N{n-3@%_?;G}f+Mi2i*?Yk>3VIdlP%jA6NdXMw1j4;SbO z_^SmF-TWf;+X6iiU$C%D?ON#5`d3Rv(?U`QYWG5n2~gRJqHDT{zPb*2Rz6Q!kcRBV zi}YsYHVN~C!a zE0Oya$^@12&nYR(psxcpalwh^nmDIw zip%%#qU4itdO&r>xzt;67;R3!+8bA-evK;=)AE{=e5~H;Pr@fNSE*0kd{Vh;Jqb-I zDJf8w#Q9a%Ns!l0qJOxHp8ehQta~BSvcI8z)L(~6{ya|#MvH%^*>Finw~{W zL_W*yeT&5+YFk{WUSC{Xie)^%8dzLj1|qQ#hg`$&QLdqLiD%sn(2jO+%THfz^3=Y? z!n1sjtFRCfc``r;DA*5mq{lf9~P z2_{va`uh?Z;y!i#64uK%Ex{PSnw=Y2fW$F_|R}5&4slHg^%VTAE z;VIz2CDitwY7*RrA@c9Nn*7bXAnbN&`pu{4Zf!b+2+J>WmSR5IeM*tjhsq!en_UH} z6=k&#(a7w4gzCY!R=w&vcnWjt%Ts7}(lgm3r{Ej+5YqR)NsS+<&||+y)h)$zEH&P+ z6z#c*2&uS%p0zj9v#)`O;_tQ(EtPJ5bg6XnQ%k)r`q29v^0w5{tlC^b^KfzLW=;OL zOSM|~aVfp~sK%u*m^>bLo_cvHtbpH;Y4A?!wLM)#Ro#cwo7LTYJ(*8*iBh@Lkqo_Pl>^mzmdP=8}irwOk-A8 zaK*ARl!>9eOosL{jLY|lz^ad^N9ud@Ko$GVr19#uCj zD^PEufSL>GO`%UKxqdP)teofEz5Hw! z&qb}v!Dc@-RSRj;a(sV90rhWVq(wT_zGeEW1GnJkWqN19Wy|T+SJQa&a-Zs14w3O; zq(Y28MAn*XNe?$ZNY92V0v6g039y><1e_2s)9y^b@O+7gtm-rd=8Fk>5WJc|_JV3j zC{=GJ&;WOdBwf7Br9NF=t_G2}`NA>CTl)ktviD1R?tPq|O>M%|>k~;AP@=ZmD5B;S z2war2e7mOp;zXH}u1G8_E_J$T2T8eK{XLNwe^a8djY6Q<5SFPZsoVpdD;3Dep{-3C!UEh;-aQX4sbF+GI1uK)l8QEf?nb$&AVbR~&L!wsZMd#|Qv zR|P#Aeg!8Ybm_a3H+!80uxygu_-NtwsYj9nW27T_tH)iAS^622)uiR8qf={~Pl=N{ ze?^KGp$k(m?(W3EwUfEjos2Ct%#5FsX&X;6}rW#hVaJ3_{Y7ddr^$0O+=tB~nd~LzMxl%Xty_GTveY6s@0D@fV z$(7*v=g8WH549LLZgs&b{U)q4)ULvi*P5~OHF{5LZKmg78$DaTqi4X zrk-9!Rj3zMZF6GV%PXrepwKa1_4q1?#2YBCww5w9f4~zF%oIaoNvT#kRSG}0( zQy-=3_sx-1+NO418VG+GqkDFuTD}6GL#Z5E_sC6B{$y=guckFr3cAdalA+$5u~Jpe zO2@#UpsQ!CF5XU_YiDI38ToFUwMN}LD-+YWZ=JD(^z^K?>YZ6x>fz(E)jP-K5W6Yq z$Z_kP>hjrn>cQDg)pFvd@?v*Ez*2wa#C&z<`~vk-tV`Xwpim7j+U!!dE-q5dCl{;g zQvwTm^{1erOH0&MrhW;?GOzkJ0Ru7FuWn8$S3@aV)pe_Q zuUS>vcD#dOH=KH#Hg_q7?Mk)SQ&??nw&e`k_S$MK751D~>@bXvZ?sO$t+e)8Yp~C- z!qR|UhC@i#W~s3ZSo{N)88dR{%&4+fTMHZ`_9-1!N3V4-(%pH8yZNw6%f^PNm=1eF z)0ntMYn83q(iq)0vDVT(vBo+yZrIXgX-7Gg3*0TXK}*&6I%}t8XNz^nI%FHN?X^@| zhp4%NS55V|SvsbbIR>qb5d)S%YnQd(+GK6CcG^blJ+|J6 zE`&8%YOOWa9&59`*3xU|kQU1xOSiQ)qQcf--)G$uQE6+l3|dC){tjCg_CU5+yDju@ z*s@pO6&8x#u%X+Mlb#-rD{jt=sZ*!UnKK8scHzN43Yjw_E+;-dXUUv7adF9U$?x6g;o403D6)v^CpmtsN27k+qQ>_Ued1TZ3)L-eQd#9@}bd zitZm%5m9Ryu=bD1t+7>FI&DqXo`|Y3t@cJ+Q&h9Hdh8y1jkUtoHl{7QCZaJ4oo3r( z>xyWJXpNYH|5Z`wQFMEytueBDM@*w-D6-1l7Sn9+pV&KTD0;()wboK+8@BC<=(jYF z8HwmezxjL6g08574Ly;wTPBQH1}1ck>p!R|VxPU*I%27gsF+Y0)oty!RYf%)+GXzm z14hR7PVO65Vd*`j<=|#ZL9e9_L=M_2qN?pRwhmjJy^;8Uf3ZtOtTdkY9o!k!WT}X% ziuQNg8X{sUCOc+VMs!S$=|c_sBARXc?CsW$NiEUC)&?7fLe!AO@2%-{kwC{^( zjc%~DP3RjF8%xF3Kx`T9U~@qWYs6ZNv6z6kBhF zYu#tv7ZKBBZH0{Owe&?+*n92$)^-fNm=;^>nCj@ku`LlT)}E*)dqZ@st;g0d217fl z543k-Ah+83tkn@c5qrnh9##qFRe-NGk&Tf5O!=Sh~l@)I~uWBXjmd4_o~HE_+2pwXMZA0_oTjxp5%M(PZh3 zn9^o#oDesq8eIr-?d`U1dtX$ytv7N{RC~mTwSGc}r4@2tOL7fytFict3TDLDS*8@^ zY>2J5Bo{21osf_oKO1T#vI3b0Y+aDNdP|GF3Oi=_n(I(%B6dXdU4jR$#e)6SjF$_Z zQ_DD2aMKNp*9xw|?nSzC1t-&XC0v^Y*FDVm&w}@0FBDzp2=2kQE4nTaytAG06@pu_ z6^gFw1=D5@x^5TThJDy{Jt%l8c3IKYDY%O^bm8g|T;Ij`9l`yyEdKMj< z6ujhjj7yFDGa3I?u={w%R|wvCBI5?Z>2n$H7CdJ@<95M~ag3i8Ty`?!e+lk9jd8!= z{$-5uu}+UCM*`z-1ve!!{!Q?lI~b3f>XtVtlCJ*hd&U1dnfLe7xYUF2;)lH@wU^ zL2z3PcB0|R5L`E#ajszZLdL~{=fpGKDOjDxxK{8K?7^q&KEZqo67hN!JVra ze=fKvgYmC|XJbDs+bS2E5PTyX*8Ji!Hf z7<-KP0mgq5yc7Ft>8cT2{Wary!Gqs1zD;n#&y4RCyzf`W?SkDFY$?O_jNqx*#Y|U^ z;GQVPZwaRDj&uzOPCl6Nmx70|LyE3p17iycUC}d`e^arIfv&>@$K%sDUB?OTaWGyg zI00YR=*keBiFJOu{vfy$>w9!<7F>%JC%Vc7*PYJzJi)nzj4u@&Q^L4T@IX1^+XT+ zV?0yvjN2J6GVZi#wCKM-pBZ_f-4?mTrGI^LyUI`p8N>o zM#1U-WZWV+{z=A<2~K^A@pFQEIvKwvcup7N4+RfC$M_q;aovp7ERn|^#^VI{y~22k z;5n}`o?)balkp}fXizGf%;!hErDmYQn$4L6sg4@pJ{C^~DQ7SzV4_t1+ne<~ZTss6; zzNMkMNbtzVjIS2F^LoZN3U(aJ`F9KMNM-zp;E_U3|GeN@A`DkAZlb5|Pa3NC1osv& z{!DO>;f@2oJgKMtf;kP+{nc&X57_SywbPMBL!Li4|gR4~V zKB=!laQx{Ue}!N*pYff7yZ7kqip(&guX6+A7X-JjfCm?uITY_$#TY+<(|F`{PXCMG z_%j)g#Q>%B&8KmCGJ^;goWyvR;GGK@9sseR z(|Ab+$K!Lo#=S=~#_GPt$$#haRtxUFhVdT-Hm!?swuZ#o%7fpkN3(jEt z55eiAC~(oVMDbIzIle=1XEn!@ny2{OGZ?=sxK8^23&CASa{iwM4;;aGBGeS+k6y?5 z4;S43Ka7tR+_Z`DiGl~FbN=OmJ4w;uN)x;EBa!i;3=nayjO6}n@rCI zf(Jfiyi0J;M~s^V4~u?yOz`B3Ii7Yy5kLA4Dq7Nnu z?%&7pGXz&fa(O2S-hMyFCkb{xz&J;6ub1&A!5e3C{yz)u7I{8T@IIPoa9txf;c&*c z39eeh_yNIfnT($kT)CFIN?F z48a5I8E+9BC-V6>!9${-=#v=LH#vvX-y}Hs3a;-y!7(zwJuWzQDyM%@@OGM*alIqB zLF8{xa8(wU_pRVm7vo<9J8BspJcj9M+Q`@;*e~s!C%AJv*B5WZ`xvJRE-GTYPVk2=OD?T()`2)hQ$%3neo>_v6r2kJAJV)^9f~WkI>B$w`vXOC-;P_39w+rs_ zFuqK1t@O`zf;S4jQ?T33>G3s9(>o&Z&j}uo_%{V7lyG|bRI2;8fHA)GYdl+U)Og07 zf)5isEO?gS92e(5S+GO;J5_LtljGM3ZkO@o5?m#CyWklzel8ZgL2$j`nsd0kI|bJY zzaADmBK+(UoFL=*4Z%x0cC_D(PPr?2z`nCpcI1&!>Vr1P=?|DCMb%Oka(Z7cF>1 zlf?H&KB?xv%e1?%<^hvJZ0_opB3(gez{fpqZZOp%m4J`U#m*5`3 zw+r4W`hoTb5WlC0exTingd0Wv-xj=2=>1A?R&khbisa+-vxsEWqd6Y94GRWEqJ5g zGQkNVzvl_=75@KSaI~av5?m+zct~)U(9>mL;SYAzYxA z_6y!1>pwdMD~Z3rNKY>=xGoc1BzTwL2C45h!gxn5ll7&$1=oz@{0~d|9!dYC;0me# zCBgfo{`Um;3I1Ggk*vRApNDRLi{$^+$S>uO!2%ocr%3Wo5*#b(rwZkPqNUoqYyc;{_k3a+h!W4`C{ey-pdIFpF3Y9sy* zPJg}NJ-2iEX2Cg+bNYt_M_zGNs%jx zKBws&k@0Y?;G#y(-za#>5a)kLaAptZe@gJ2^O=9$g13(oehTi#p;&Z%Ah^AguNfaBIPM`%e}dqmA+B$s;BK5sLe~nx={IwGas+R0 zWLzk??pDTI1?S$z_+r5h(f`*9?w9iJ65MnPr+-xN@I8!Q6g(vJ%d3LZab_M}?+Bi9 zH`D*A;6c%U-w3YU!{yNde>C3Q7jycFf~#;+6kSsUCtt+n&k)>M#r&HuxPCU{Qv_Gi zhXP#5f?KX;yhd=1jGr?Et8X~JQ}A{=a0=HJ!I>+Wp0foze&YCx1n*7b`0E5WpU(Im z!SPEu{XYdKzr*!CEx5OtQ( zu)U7sD+EuK`S3Eq&Hv!|>jdw-kn!z;_w_NpSMU_sAM&W+88|kKuIB|e-o^Fz39iR^ zjdXn=c;}DIkFN!1ihTYmxM_srCmhNAt)LG{xDFRQ@-yRO4J`6IS8(NT9KS?x!jDXU zvf$cZ7-tIZ5&Q3d1Xtb1`CWo17jXJg!BdMEpCdTN#`f{Wg8QUB*9gv)`T91&dk^RQ z_ZjI&m|sr_j=6*JOM;g?&*|S5TtAojGbp&Gn(;S+XI#(tSHTTY+@A4AF+Vqc!sSmE z9Q^^8KTYtQBu;;V;M$EGzgTe2HpZ(2&(39>DR^%l<39?{T*>8~C3s0T$8Qr{Bm6vH zaGCVS<${&iL)Qwf{}<=KRj`9j(!zDG;2xP@9uu7Vi||u$>d%bd5#0I>=l@)=L-f)2 zf*YnYKP^+4f0^HLdnO3>%lqmvg16I$Ok5`luESAXbe$wP4##-WwM_6n*`Jjv*l`e- zpDnm|4C6e(*qg5Nml)}P$_ZVv&_$Rf@d7c?Yl*Ad@HBFTX3JW zuS4)o*`M-?;MgBH|NDYlzGM8Y;Akt$hkY9JuTSjjLj*U@d}Px&$v=>Q7+>v1-G2d_y)l>s~I;7t}bQ#h~UY; zXZ*C_ISUx~2u?ne@dtu?W&hJxf|uYoqI8W2?iYJ13L8dfzOF0b_$h+>H#0t7uv*Ue zWWi16FkT^egXr&c!ELuQf7bz{cpf~czc2**L-2Va_^J?mQwY941V0mkUkSnQh2Sqj z@JI+Acg$$|4-UbHhu~vE@T?F#F9a_R!OKE$N(fF5!Py}=Hw5R0;Il$-SqR<{f-6FB zRS3Q!1n&yLH-_NG5ZoMsTSIVr2!1*QKOcf$4Z&}R;15Ia=OOsp5Ihos?T*poVL}K# zGz3oz!M_W^^crvvZX7$U=oN#^f(LNpoL-!Vi+xDAAI44FZ~uv#w%tC8`!U?K#6xEL z6S$wm{SQgAlpN}6F8wW2l)+cuB82D0kS^607wd@TZDX5c=I)<4-_(#}gf+ZwC zGh-9k91x(KVSspsX8I*Wek2&IG|;HcEdv7 zAe7Dm3IIBx&;Ws!qB8x9#o}N>isJ)G&8g|+JTum3gP8;H%W@nSBq7YYQKfJYA5}Ig zl|BV%REU|AAkcLFl_cX|%nG32^6{@ZB_QNjED5E~3${`teN3P!ntwxU3NSa4a*S$Y zAOHu%bGK3cU=X1V&1PP~tl^Ox&dL_)%gAy{Ta^u_! zqh$Q9)l4k?(omm!DDi~N@%SZV;KXN1Vjk?|PfIo!MJQyj(yt}?2xZCb4<4Rogy5&X zd{A^CfR0=fKtENdlc0l;PK_Fc_{?Yu(g%$h9@Zcf#0n(z_%TXH2as_(@^Lyo?jMol z;YjiYBRA;kwD@@UX&dLq3gh{2}$h2laLzoR5kOu@Xg94%y2niS^fe=GK1p-X` zLfB~SL;?DEJ#PCbMTNNi^%MfBZvqX|z|=0n)LmLjNn%sGDB9et05;N7-az3Rmxy#ue#cgpHO_1dNhP;Qi$ifoAgoP)nw^9t4nh zXvq+4B0M05LI5QVv@#%85*ZXC6f~M}L4mBH;zAirHUmL9vW^=bYB2;81Pz8@n3>aN za{(!WgDL-xan zylgq|H!nMI-fv#EoJo@xIGrYMJ-@fF#~*al;+hwFn(qMu%C;J0pHVOuk zQdI#!gU|?|19qhx^2#}ydHQfaBaNKCn>YG&AN*}Q9MdWXd@+y=+7=8%m{+)91Ik&s zSoy;G79WMgemcF3eaN9tC}d^eIqL> z`5p`kI)D`6fkSii_&h@MX);^9JXpC*_S3we54S~;bf7Jm1PbXC+dTZSEIMY8 zQwsaTH;Y}&@35Pm?>9kpmX=HN-Fcn9P=|5ixiQtoCHDZ$K&l(0eK!C{j|Ju9muo~b0 zf2190(Nd8_rGX-vsDvb{qbNtaqkY=irIHp}C>oN{kQVLZ6wy)?rBqTBIf)cL((k^X zamx3f@9(-k|NX9C*Cp?JKKFXB`+0i3;n6^4D$K!I0n*sPh9th*4t5AsDijkqAS)s= z;0ZysHz>idy2l!^N5rF%2LVE}L>EbA|T zRuUXIZmR$qnt&2SMuWxX4Q7UGen2uL971DG6`&bFpr9$j z%HTf)T9lCnwj2l+2b0J?A-JMw3c+P0c>*j~s2*S)!~{f_25{EjSfC&}EbIv{#lSyd z%vdlsz~*r8&_YO|c%Dcm2I+~=3kwV@VZffiIK+WEk&v@kFAQ75ivin7^2T8}NvPa| z`;KEeVp(t>F$sk5Cp@#ztpxMK(-^NT&cWZoF{(ffv(N%Nn4r|h4u#}|ongTHD2acXYNnnCifQNqXK;uxvyiGgyWox+X9nj#UOaV*LIj|B}y zEHIz`kHvx}0d#vXGZN5_Ao{Gc3rYZ{L1BgcKw)8d z4(>RGG8@_k>UyLC;7QD)#*?V=iKn0>!|8<%Kr43&-mkkSPT4b_s&jPFSnVlfByxcs zU;q%T2lXeAP6;GyD_f*n0#Nq8kaI!Tf14%lp1x!l%mG%wZ7Wa-q_BZwtw07k^o8^y z%LlYT%bM*x~L&{Sbmg#NBQ2%*9- zcQ9WOOOxD?TM)PisGo@(C6bpL3GVMgD`;*0M;6`#ZV!X=0-lOAVc5vX6#w{_3$iz#bF^UwUn)mOK0+nI|tO#(I z0AQ10TX5jrV0E+)L}B0t6RK*E4*|d`ASq`uaGBwfke!_o7aE)^*b91ZYD<1Dej;{3lXQ0?iRc)_#PHA1A*j+lb|C9iW?ApaLQom&|>%-?j8^Oy}#|2;QGQOb|0D0i+y5%6QH~0pZ3HeZ)49d;G zKlo!uVBHhChKT@>3;q{B%vInolF=V$vNif@bBltlKS&T{E95?E(0YfDi>J2I{G872 z)XAJJX%1-?or_mvoBPIA7*bGT=Jt5pp33~Hv(t&`kQvK-U|Hbl$k(;8`Z1es{@e2J z^?NtoYuT$}!)L6Px{cMcY(({?FJ(e@r$Zi9x%T7jC#O7=0s=*P(b^`=zj}Pkg#Bq*3YR8FqM%*Hsd1&l!i7I3+U57` z&@nPP8EUR|!>rNr*CnmzO;I)c22vA+jvUl#NtFT1M?b5NKeal*T62@fr}N2>uCS05 z_0H?5nlr=z&*)6Cf|wwdBXUdsOnk4F6zEgclhPiq-ONXw8svQFKDUDUPLJC0X^+k? zdx@nl=PeW0`F}~c_JLb)oa;0M($(%}S81I-Rc^ zeYoXA&&pQL6GD%A=kMi+-_o3H{va3=bL)P`kYtwsH@nU`iDbp^F_oTK7Zp`=R!8(3 zTu!s{u1idB>JHc^X>?)h>1{hNh^UP;2=(eq7SiqN))vfCvy!TKrm82}1d3?aQ-|>h*UTy5N>j#nB~}h*4K^((%%$+dGRU|RaUO4YD)?lvB;|F z60A=D-IdAVvHE@j%Xrk!6YJgNYqd^xuF(4u{(RV6CA9PVy!Ls$4M{!}N?a;|W>@7V z`eOO2UzzGE>r&_Q6}KOvN!?N3BwR|08kQ+m<9sLfmh+yTOlGBSr|y^P8%8JfJ0{qR zWUn5OpDHpx#cai|yi0(h>fL)|XNj%fpq07Y_`czk28(w~;q zI$b$%y;Nnik#kVc3$+O6+?u(AV>tKZHz3 z;Z3PvQRP#wsm-fS~jXL)Jot9!v&kvG-)m3w_-&X=4q`n*BP!)RZ^RKh@oSmUD~ z#=ZkREfM4KQa)2hX9Bv*yClrAY9ycV60<*E`A2z&VQ^t&La?f2^&xp%p59x1_g9qc zjni+x@%ZbiT9vgb!S}c2U)7j)<%^18yF!k3*S3f-n-AL={OCos^R-qV?=?&MOKqBX zZr(WitF+;XRN(BMRwez-NXtKbteL+;r)G1lbIv;@}4~JL!$c2X2vGa<& zq`TB^HnBaN;iVXAHFa&~O|PGLL)E$CF+PzidD%z%BI5amCAQWTDm@HnPyFy~M_Izp zdr8x$Y2#g+emqDaL6G{umP4@8&q+QOwcwUCnEnH2eO6j2Q zmnd-&hp;S8KL^nCNnB9y36`hwN^?A zucYs@rTH#Pg?oEbPoFO*@CwGQ3@_o1cL;G9l(_vhz<%ws(xxZe#tFn|!-PD_QLiM^ zoY)%9Q^u!5Jo)?G#WK14Zb|=iNqJD<(WlOP(DPGB_>|6d?UaArKWNJ$|>r6%=K$|FKo?y z#pk}~EuGKZeNTh`qq~FOJ74j#U!z~|$m*+nT*aNo`FU29N;R5UmgaanvE$Rmz~sK) z+s!TI{I@V&bmQkNHuI>gH#3-%3K?~#Gv!+4-=eC$vpSk3X7j>K+M)373?Vgz+DNc* zJ+XWPjjZ>0Ktklw)u`qm+f~nwki4aeNBDs1u7;3O{DfIvM025PRyG=R^4KAxbG>fdB*jD? z!&Rqa*HcDI&eHPiBj5Y%JItjhk@U$sFfzos)>MxiAV{2y)ts{1m-sAW{iUON*Qqir z-QfeJtTi4Mx)&x48VI^~(|AXv>el4s^3IIjPxCR5`OtYHar@N`&DNT2wa0qCZ%V(p zmg@(H-?X8QLfb|EufMqz`Hdy+%3E*ixw5^|Q$YCa2Kt2%bNek}+lk-v?~4v=-8n=& zYW|Nio9bI9|FYvLlD1-p`RIbGM_YU6Q#*_;0(aCYt+QSkHC7tNB~iOm+P?1XA&UpK zS4O%LvfUri)|DSpy3Efq5FTohRG&n9t1!r1Omyy1pG?orM2`)OrX5pAKWFK!%E!Aamjp*dZ=u5ZbOUmh(}(T zn`UW*+4<(}gh`bS*&>3@gYIBwub?0D%Ir6o;vN`i>8pR8f880wHk$S^`k6by_}sbU z^z@`{cP(n0_SZ^<&TOp4?$MrrSlmL-wu6Pzg%@%F_RuL--;T8xDD^8_s;H{8z@P-u?69##>4UeHP86Gz*& za=Gm0r$L$-a|g>kHvNp!OUh3?QxTJN;jx-&v&2@RH$QmgiXA($)3qcY>*-!{-gt$t zRrO%O*tuac8=Kq`*ZrzCI*krS4=J)mlgrGCh{ez6a=DlzLnhjz>d&NO zMIqPC&{=0mm7fY4dSOXf5>a1^o}U@jaca@5F%mPq?s@+6y1XD}x{Gksps4gN<5XI= z5%*Yo(|XsIChRa^^$ZsU+4Gu^r@|4QE)(iR%wZ+#uRo?2{DUeOkuhpNTX5 zDlWpqXR4N;7$_L-@l@ge#QkaQyYjWFgKQIx&$bhi+g^L;j!3UgDPP}|8@Ahm)5x@? zC|YDB*5TjUm;bH3eODzHTi#Ztniu)6w8qn@;;jJSYQ>#~G{S(&@?J7zauiVm4pfBeJLpp{9t zj27vWsNK)}VE(}^ztzbHc3dwEdP5&{kG6|>!MR~m#$GuIzxJBAIlYXAb?lMun{kxjUfM;x(@QohL<;=5!^Fi0rcxhwj zn#%4pY$ p1G1-%FITi$o_|PZ`|5FFwae)_W|EdP(!{Nx+#K%9FbXQ+e*h_D0hRy&

    dKgP8I%Su&`}kr*@pjS!z+lRA_1?bHu6dv{+A7xl6m=y{Ba~M;;XQc zyV=N9HuAbQaxWX+*oLcZ+_$pfJ~q6A4fnI*-E6qO4evu-V2iw@!+3+wM9zk5R zk0=|iCobw|260hevWeH_#V6(3$n%NUA$c+J#>CCUVSLOkMG7xZA@?CJp|Ar6y&c0~{u`9FdXqahAQ z%CXDVf7|}ewtup1-?sgMZU1Cj|Dz~;PYQp+go)AVaj_!%qzMyZV&h_x0QJ%7G0{n6 z4S2dC7Pv5&Fu{IZ;~JrCd5TgOyoX;zta=r4HG(B z;=_3t3)dUcdUS*E)8f(%X^Alg;m(*6os>8!B`%g32q`8+of0>loJ;E1xTH8koD>KK zvMfn``bbi9xDNz_=I|T$Hn*9ok4uY&_#*QKdsu(kL#6bExBuY3g!L2Kq_5mg>I8`O z8@!VGfFEF8k^wsa`m~j#Ie_EgHw%8P!O<+ZX$NxH8zcF`uM_;d;U|NmKHx!XxSs{T z@$ie97H^22m=xCr+~O5AZK4gw9Bm^-8D{9?Qsad+DJm%y1nP7cJSE1cCmEyDVwo%o zGc9FOmAz?L-jFL`Zo~p2Nfa+Go?SR*w6PHt8y6pKOfslrQd5Lebxcxfx-pH#H45uO zblN|=C;zRTCmML3V-%{wxA<-?w#a$(|H&8hCo#=ngq(;?OxGtx$HXPar5M!7(Rz{2 zxCHgTi3-p6DtlEqp{|NjRF(X{j8args(!{lWg4d27;8|c#TkrjBn;&mqLZSAjTjNi zVgYhqu9jL+o&UYZSpP-6<^>Wbs1%i&oRX-wIZr2lXy$9E>w)4t$f_u)oes1 zN2kDqCHCKCs;#}h%~TApDqsI4=c;nQnmv*KHu-FA8|=r^?}mi5xae4`W-p2U zOx>b|8oaOKF{u-xr$;AJH)=8O6NtSS^qnK1Ur`6grN^Wt>Z`g3N!<^-ji99H^mHq! zI@+M-j}B|OHZ3iB2IVU`(IrAtPm4*IVda?FPzR+Z>#>Jc51BX_o*3#d=*O(Wjfzf5 zO_`CL3Nu2S1E=euNu$FYdXAM4s?zy$H(Jt5iO^#wOX=`;I^3rK#z?7BniL0j@nA9$ z?$Ve%N$Lz{{Kt|n{X6&R(hTr1MoIv8+;tbY^W%=;?-b^D3j9ryx=P|HCfWGQt>YY_ ze^Rkh?JZ z56M8MmJ1$NnPP5YF@zg2zC_)FwfX;N_hw$6OGEg4-7$>g$doB5snb)`aTzgjdQ1;R zDB~aOPlRSs%`PA4;$N0*_Qyd&UPHn|vK<|r@SkM)=ir26YbOc^au-&r926i{NHy_& zD2JL3l7r+_6KvE(OZJ%mDC3u+hExN8>>nD{RMf;D`^W5YyJ%m*{-GuEn}=ZW3nl-} z3-xW7X1Av-<;*v%FJ8bkjPbPkKrJ^y9Zr&a!?Kodv#-v7wBc?P6D(7_oH@X{@xSH^ zi6k}MV2+_ZVJ;BO)qmJo>|tH`JO9w02JDI60_|ZxC3>egsiPFj@?4UFQqw}|Yu9=L7!Wh5lz`+pKTd@T5<pa5wfM}it zKlEn-{LnqLBi52v6aNwr^~Ty3{PDD&V3S$v|=EXB*?FsEbkJ*1jk@iqovNmGr<3K|59Nbmkxeo?qCU7hah^` zfA7B@S`x-M4*W_7e-hX@F&g?|96wf#5C7BhLO;^jsB=;^_aa9BF1zYib76HhT;C~X6b9nv9B(;#df zqgY7I^uLMI-}{GdW55s0Ndx4FFZhP}g5{hHV|XJQgJYY-x>dcTL`-=li<2_ImF;|> zdJJR1AFQ#d(j=%;so>)8^A3IdPyDk^F~%8lvwAD2Dif?})2LLf=L^>Jh>0M_9Kj1? zF2)GR|33fFR1Z0o3U+ZO;tM&6dG>d`7_Zr)yhI$Tr;|V1Fg$HqTz}BMY4wTe+QGv^ z*|V_@nBz1qIxTKETWx|lh8>uBzz^m(V&1|6!sjpA4+{#9)>~}z=Q1D+ntI74Px* zstNrFh5s7j5rk2MdcthN<%Ic!2MCW7UL>p_^jgTn^&=c^Op(H27CZvh1xCYK_=p6f z)ITjz8Xj$sKo%Q41Gamoa>Vigd+BHhc2oErnu2+PF^vh}9^5l`Xb%1u(})d>PLcY@ zO_ai;)1W=30nU&HLihuXNs`t$Ng5ufmxjOs{ovGTQgB=hI+wr=tVPd2cWLYf%)ot2 z0wDO2h~r!EgLQ7;55yMCjgyS&v_J)Z8sd^C#-*VEF7Q7U8H8bNjNw_hHe8Y-;D=Xu zc&FIdPBWOl$YbH^pbm#ijW;vkLSsp%>z$n38)sVl8qWGlaL=AFkUzjNlB3}-b~Gbk zq+kT>&z@0`Ppp?m#C{e>joe@EzKU~y(k(W)f4E*$Wri`}{^KfDm0L9D;Z>ROaPdi5 zWrp?!LJV+iq(AsP5ilG$=Ajmz3y8=uh65>`h*%a{z)66^!JQs(h!g`)4M`dd`7jMI z7|gL`x&KDyEBeF3!KVy{!_yAN6fUlp@r#F_$ihMs9zH96W`W0}$~}({KAm`l;PK+) z0KSgL{pIn*F(HmRM0|0yAWXPD9{=j*T8JfH5rlXj4*xnqp2ou88CK~*6a3dfQZqYf zPi-+lo7}ce(n-A`^kn#pBTI3`L8hv-~r+Si-`+7PF!G#jl9f8UST7b zvU&d@+=mYCFD0hLOM|t8r4(r2fIh?FPg{x~nE9l`AHh)`IyhKRbmNnl63cj8dp|!h z`tql6bcB(F351iOp7=uPM^HF3*@|iq)H8lff%@hv4Px_SG~x0Q(Ek44Wt{_RsD0J{ z`M`P*|5x4o@0ku(F#fB53t$Do_Fr}T^I+{k{Iiq(vwzk;%$KVE;o9kc@=v%|TW7`p zmG_zR=4UN<_q~PLi{6Lt6@R!S=cA85S-R}g&z67w#fp`yRcA1HbxnU)7t}X&AtGIu-CXAPYIIa!jr6TUkspLf**Jklj z6UVhwynKj@wNyXixCV=tKk-_eN*dxqFQ+4}B6$RHT)V|9l6W0Xr6}S!C&w#+cwJ5< zJ#n!wD1$hzA>)-v9M{nC$|l}`Qz?hI*tfNuxY!q!OB~m(@ya6(`XhGb6K_hqfVkKf zS4dn<@?zr6iI)&>K|J$AUS2JUUnF@e;$_6WiJOVHCSF0j4e?6imVwV|?mw=HNIhyaRDB;=aVy#5)o9A>Mr%o=rTIcnHT&n0;oaXab&%*5@9R}yz1u2{p%+mW~!$2t-BB6$tsKE!Jh_b09( zt|RVDT+HWPiAR#$jd%iacj6huYZ1>Tt|Y#kxQcil@!G`2_`D8rF+TSoUO@Ki5-%q1 zN&F)5dc@7dy@*#5Z$Mm;%k!@xaWCSHi2D$4Ox&M%6XH7JO^HVmZ$>`5br`fig-8Tdg9%QXAy9H@tVYS#GQ#p5_chIdNy=dBk0a7Z7hqyqI_Z@iO9eYRpYZsvz#HW)wC^@btM5R}l{& zt|o5Rire=i?o3=G+!K!w?ukbU_deXcUbrWoDclp!5%xQ9`?;~gm^>ZWyJX^xdf}mxC$;wxR(Jhu|BDzmD?Cv)5TSH zyim`I7iwEM;_5qczV?gzK=6uZtJ5(5BKus6Ac2(ILwz@1xIT&(u7l#0LjI-@*As_> z0hkmSBP*vEQ^`6tqk_0bn{Q}~|_xs7s> zA6P$qA-2@KA$0U_gvCFsuNXh!AJ$t;A9W898w_uxRe524_hb9&FbA++V|XHeaSsue zp9ml8xi7>{%r~*VBNzFH^&Z0$>BIW(3%1347TW=)kJON0dnV&!;cpl)1JyrlAJ+8- z+leo@66r#FzEF#_RBjn8U#j>_=Dvz!`?9u=?aUWysYn;!Rn*^7ZrJWH9U|VzES=$& zbmG1f>w3ZW)rVX15!)&1X+%B8_KIAz3v9Q@Mfli$v0QBP0o${6{h7$pT@^2E=hpGW z_HNCw-B;%r?<)7$4_NbLR{m9T>>sS<={Ejhe}Uy9@+pR;a{$yReqldiU5>mzsq&Hc zD_G;kFbBMUK_7Vyn+oZ{oasj;!*?}Rm1{C9r@@wd=KWEqG?c>U{Yj9ey>LBaRs8Td zgrP-}ecqq+vy=-ycd)+_?Tz;jRq_;;e(U}L?MGPE6U@KiU{bw)^LAa;k6E{aAlBC= zu^91sR@MG_J?m%5Z|izv?M~!d2*e#Po-ZMm`p2K!I!k-v`J}bPo9C0((r@v6s_Msi zJ_T9YUplKNJe}6@;PJ0Yr-)Ys0>*8eoaHh?giY z-rx4Kif1y6A*xy~4?oyae|Y%emVQ8lU)3LC_*M0dhaY6=?|ArC@x{HESbMeb*Sdd8 zhbJ$_LzFC!N4O=PJpV&2^^k`XVUhE2!l`tz-^P0O_u*gj|pIe+aZBesO;XT5-&WQI_;z`q4zx3?8pB7CCnxWa&plK8xony2p~J z?q2jFIBq~`KTEla{1g2x4{x9)o!tHiOFiQDwU%<__QR~=gZ_`T=-s(}(b`0N8)PL% z`w^CYM5ISN=ehq{tMp^;jI^{1F7IdKKEg&m)KWjV|DxCA<87>M;5dXh?pM3?hhMCLTrn zJK}ocxx_PxFCm^o{1owA;^&Cx6F*J7koZR8CB%0SFC%_{cm?sR#NiW*8aucbdIA;k z<0MxT-%H$&crkG=%CEM>H6&j_Jd*en;zDoJoVcFkF+xuHi*dp$ljLF?m_vLv7fZRs zw-Xn7K%plrAh~EiLJ#Oj_KQg_#y4=9E6b0CB$r4}l_XzF_7yw0 ze;*O|A};!6AL2id+@JU+;zG|M#)~?Vn@Fyr@M{u}B)QPjc#&K|@&uB9MLdJ}3F6tr zza_q$_z~iH#6KopKzt|hV&VshUnIVbxS9BQ;+4cph%0vT{1W43FXDwH_aT0UxSG=E zOx&O3rNni_e<2=8`~vX=;zx;R5dV>QHt{0j%ZZ;Qo=1Eg@dDzTi5C;UPW&SAPl%g| zml3Zd{xfmK&pba)689p0gSZdzE5!YYUn8y~eu;P_@k7Lgp0p+L1d_)QS5x~IdeID$ zCy`ttd28a?Bu^mjL*?T_d^yR(h-=7wN8))TPbcn2?p=u&kbEieV&dzGUnIVTxS6)WqCJWGkX+~?{VBd~B=;w|m}lt7|4t;=k=#Ih zIl1>D9!c`8#1n{%`I(07yOTVF|GkOpNIr>p1<6|xk0d!?MT2!S z;vbUShr(-5JcH!P#IuQK5icP7fy9@S{5|4%Bo7drBAnrr*#l$lyzCDQhlY9>G402zW zxQ^tbgnN>E5|1SLXyOUPmlMw*{sHl9;%kU6C!Qzd$#k&42;>$_Ck9a=u-NcKDZxHT@e=h7( zc#VixlKczeib9@0Zxc^g&3RYiUL>DMyoBT$;yxsQpLh<*{fYaNJd^lxlJ_F6Bl$ey z1r*=L#3M;Qo_GTB6yk+szX|aSl1~tv!s|{vo8+^Ii+xvW;>$@sk$5rr-;{VB$)kwt z$^UM|3rN12cnR@$h%3l`8{%e?ClaqDo+|7Y@$zsW?nV42aUbG2#QlkXNnA(#d*YGA zzagGLyg%^_;(FqIeHP!0a2fn4~2dMRIsz3`vwVT860^)k5rfTzCji?2)J8OB`O$G_Hcd@H&-7tcYl9-K^CC$0~gWLbUS>o(D_ zO3W|LCtBjmxzJXMb)gtb{JFd;J)9?6;>Y=9OF46%V&lKwQZKn&XyHV7_@0h+{Hp3X zw?ETT5Ba(b)_!3h*J1GOTWcNzWmcWr%B#D_w~Vdr^LLfdgojsE-keXelpp5_mU_c^ zGQ10H?O%$e{J30bABF#VtNg_D@OQ1M!q;2sEq9NrV_ut}Es$mPkPFXtE6 zhg8Ln>uajoCF;Mior?11dMIl-`j73FUwnOAXthyajOiEJbL7}wqb>E9>jQ;0o9ovx zJds~q-%-_GITzY@u7CH1m21&&b3NK5OMY>^*Az?p;QFPi_zV4yFhTAMy@$v@t|yyf z>BqT#QE1gszmEDxp>0R~HR|cA+9TH!3avWIQU4@DLyr9*{^b|fZ&}NEd#jQoPqx%Q zt_Q@w{NnmyvHO7UN3gCxTwf%1DWDv~x3-V|SM>*6pH~$hu5T8*8t|MGtnU*o`Ng@| z?I6MPj%$QOk0H2d@q&vM$@SG@mjvG@!QYDK>Ersos`zkyPF4Hiyed7M<6q$(^`K(6 zh0rhKNe)8J^$5ZTT-V2ElJG(3Nv!3lH?fvuj*1uwy+Rd7eL9|EAi@*v2Two4Jq=vK z^&J2DJmlu-knewIpPO4hKe=8{gpTRO`YK|J9QD3N8!NZ!P z{$K1;!TlVV`l|ZF_XFTxesTS=*!_b0M6f*YZB%~o{Q`Q+^PATm{?|Hxtj(>{%k}%y zAQt@MdibjNaJ>QcC%lKL;=Bb3F5GjTV2Kascwz&;I8V3q51bn;&rh!RuL_@>Nz!fC z5%!FzVtmIRp5nv>n)|;S`j@Qiu*MB}^dCDm?OpfQ{zq+N_&7iI$5-8)4xC;X|M3gY zfTUpVMs+DCZfS>p6EE0>wD_Wa>o!Ah&Z@CrRQd+7a6=?VSA>rulJvr?6xbuOS4`b9qdEKdRLyFI%?p) z{g-RPyE98V<|%@{|7KRh<{xTKzW>DaZ4`3wHWrQoUWJ!?tdJ*>>@gsHN>Ne5twH`#;xT_uk7@K5A#Yg8%}8n52slFur8k-9-Vcr-@x0^EjC^XRQ1`N_T<-(44z{O-8VG(E$LD_ z)tNiso9f-BGYsYM9k+?k8G%SZ{UYM9ToLcQ$ic2G{D@} zbZM>G>==>O^u@W-rEPycF)seojsa`0%>Fa(+u_%yuUMUZyno2D*5(0aux^CZs{XU|pbA9tDRF;utbSMyFhR!X$F@3_Ov3q<=lhGE|IB@dxQ4B?OUl+)PB%-OzxjP6;Ds}UEi@m?$q z$8QOKZGyLb{y;nLr~OCmBOeV-xU|-L+U&(s2SW{teR(Hq>|^ET(MxOpm?_2o*j9b& z^uY_Wll!i39KQX;HT|l~f!cc82Olk&y4>UTg`D1+AvgPOdXYLky!D-}E?CP{okwnR zJ{{?{;aKbFQ46ygPcC}8&^XN;+~L%KTiu-(J_IqFvF z-f5-tUKHHk;^bLVGcjQ1khj;J?5e#vBsp2x{BhS&zmD=K^8V~XxzB>~PtQyb2yME> zx7h%-|K?9iPyYG-l@r$nzgL(r^2@gqzhBg+POGUQvsLg0ed9I*>!*y~GV!->7PWZz z%gePt-F|qZ{^Q;8T{E+{^^`jl?EUE4w+$4rPtOjX{HA-Y$)hIK-El>8G@xBZ!ip|a zE*;$Z$F9WK){vgtPbXx)+*&&F_dNB$6_uku+vM_ki`_dLIt)x)wzp~9#s?06bNbxH zX@`51x{bX2NzSUnU*sJdk6hEY&U)kY zu5VC&qOrYihXtcIs2(;eku)<8|2nb2JURQK>euBbiVu!lq#F6tn3A)5UPgAFU*OOn zB+Q}Lk?;oJN(YvJmdP5&02vqtBQG2U%GeA4v# zG28EyPjGp4E3uckYxi8IyoEbDKMPVeYknnY?8Q(2XtZfY zzdF%3Wv0)z=hKS@l@yQofvGC=ljJj>N4*jdw zXXW0We(l3tYdL%w(C4+!&cCv!M+U7fSa&-xec$8$vzAXZEKxRZaAnI+Uv>PxZp1f> zH}$&TuiK}eZM=Tn?)8}`r!(zm$)y-sy!$A>-b+VN4rlMmgM z9*IlC(({z9qck3NeO$7q9&hfuzURXum*3yk`R9Jxuovf(oJ^ozb-Fq0_s@nMh~7W( zn~RqhUc2A5AUdI9>FzI%drUr8wAhzb7?p>)$IL^k+tz#P(l_+UsSWF=f7No&y7}YQ z9`BT<>OMDk)t&;6eR+esgdN%3b@i^DufLtvrFmG#E+;(XZ6CeX_qg=d&+mR#x8JLV z$NN|Q;(zD#!kUToOYIxJe)OZfWz&xRsSgy5_wa|P=9_(*d6%YFb_l$1W9srwch5P; z3{Cr`LEhH>W80lSdDXt%>tFhxT-?f|&F0fBw>S9N@j(0IHMSou|8Bt5LC&j=+Fw2R z;m|vsGe_O?7|W``Y8LH%`hKF_T{PI2S)H;>M1NH6Y)j^CvZQu{&LO z!>J@7z0Q@s9oKwybJh3JH?PLD+vV7L>56mu=uf?G?b~5=t=qgqlV(wqJqp$aoL-bZ z`%%>O3r7#Nzn)m5=fZ+kzt{LAzC0zgLF$#opBU#G#`pLlc^C|vt#+Fvs zYGEP8YKy+eKKFTtpi2$!X0GiR_-snxjL`W(8}H5-c;{7%FZAcj9-cbtbYb1%-APjH ztskxqUZ0}K`*L;25<~Hb5C0l{$Z-7Z{(^ofF_%UkANOPTd#^o`qK6)6cxC6ZA6E^2 z^ku}|7gwjwjj7pwO{Z(CT3~pRYSHfTeMa@1e#`%>V}V0fpPtuY_49Rx!!P!KcDM0l z|JxJ3U1@q!^UvS1&wX1oRz7)r>%02C%~qXB_BFeC&90xiG;#cm4j;zqdVRU9cA2tU zWS{!mmOj(9**&`Ttd5sW#@w9D0FR%p_~z(NCC_oZ-RkoQ7N+=P4@Kz!;~+<8$}xcY>}z_%d9J>agQC0S;4DiHE;`B4WtimX`nKfgmMA&786_w8`I1wu z9LY(!MyjFQBGpjsk!sXFCDp85Ce^I-SgPsaWT)`(vQv2a+9~P<**Vu6W9M97Z|Cfl zZRg^ZYv}~Jb1p5(OBR9j7O9hLUx$nXGtNoNx=BLZy zIr@i_bo7e=Kah8Bi6?X*4#gun0P%DVZjR%$AlTW1d!9zZj-FP)`Bfp*Q-Z${5|YoY z&MR%?3XAv+AHP{R_16~8Kdz&+aCTE+!>hcLYW>>U^POW?s>LtEig#Z&)u-piJlV>_ z2#?@17W>}v#A|&YI#|oms>aGb+}ftU%;H|MO#pKkRV8P<%Kk`powJdbSojy8<8{Qs zx&4C{&b+H!Qpgbgyn^xWzh3#(?Mn}A_#+z*!wkCU<3@7@zcT`3@T0~4*+V-aev2%8 z&Co|RTZT@w@QOEY7kA6-W8vrz`YHUw?82_lrW$0DJd=liy{|wpN15dZ=I}M?svpS2 zm9u*HI1E>RcIy?x8BS{c6=F{9-x+4w6|6&E=0ATuqH4#W4Tzeox?dv}F2BmK01o_Is|=(a!t3j45P}W?~$v9O<-7-u$y6oU!xz;yeuz+q2HNv40E@3*@osN z@)CyXdF2fKrVn8CDXRHb3^kdrIW8UZ6WXtMdmF?2UutbfF4awB7-hGgq2Gqa1c%;~_er15ahb7ydL&SfY?9%AVC!EX#T8|twB%x{A~!-x;YGt7xx zz)<7*4MY99Q=GT@gJH@04G&>>5f}S1EOCotnCbIA$M#zpmU*7#^1GD`^n_p{m3f-4{ z9>6fS-#CVumu525kN<*UPU#MY6274Q7WFk;&QhEccAaJkzphK21PGgJlHm16js zVJePenlbc??8s0W63DP5FpObtt8onV4wD&1T+U#q*|?Bll>SqOxt-QCg#LkH;ivl; z=F6oFE3REvWvGH1dzlIFU zdigL^wd=vK+ISA)&8{Wt?_2D0`9AQhd&jPc%I^Y4pPplOUv@GuF?nJ@@RKuvqvam! z?~i>N=(_htpM;dQg(tFc?@8bfM|(Rvr#Z@B zzuo5U5`7c-?vAO`S6^=?N7ZoodT$$r%;Ql{9yfln>RHbk@}P;c9(hczBln(|dGdSN zS-!T^^IoZ6UAc4a5|wI76IuIsr|Zgv_2l-uHjKAZya`O2bm&CjPi^H6n-1*iVBcO2 zj{9YHN&Odrt9v?(j?#F_QH^FUHI=%_b2iRu6Suj(ym7*sgW=h=<@qHwq7KxqFIOr$ z_vz@|N$!24{jGy_>&ssZNq_bA&#mRG1!X@jdHO1FnQQpr6`fkj9&R&q=JXeVDUpX1 zyN)-Nmk%8F;+|)7xuA3BF`D|Fz zb!6vTj-TjU+sUuvHf$Od-b{`e+M_{^TXVTbn=!95l$C);8y9?BktvqjhhJSWy7kTT3O<|MA1;~x3eRy?pi;BSC z8}{yeVPGG*{^Imm=2%bJEB^gQzb)x1$4{I7$Lfy*<$~PB6#=?la_h)%9@P3JK;GHY ze#|ciddY{6mY3ao(op`^z0LgLC%el#ceERB7}84~@m}__Hr;B<6@zZMN@Lxq9NWm1 zAN;<}Tk@83Pd`3sDuwhJUEDhQG?$NlJ*Mjuy}RtK$@7>qx4qnSQS<#NeqH4VqX{3M za%__eA9T-`Wy8{UTNF?0E#G?Y+OR{l0_Cld@0A^2*GXROQh0jpf&jU6+`h;8>(%n- z&&IWgIv*(atXT1`@;ilm<5aU7*&~C)I)w6{aD%JSSxw$@W6BG8{Oqmj~7MH z9oAb`t~~qZuTlQ;Ttr(TJT>C;7Wk$!=@~KKy!%On- zf$yFeG-qI3OS$>x%+QQ+PI7F@cV~S&HJ9D~=yhrHfu8bTnNue&sP7|3hu%0map?U( zUjI7F+0(vkAKs^@JTLHG*?Mz3d291}6^HWM$?@ZUF_@bA$xBE4{9CFTz6^JKNSbL| zMPS>T(XP$1`pR2()jaT7!^*&KwjXPpj$jq#D+>ae!R)AdbYf9J+`Lq>F$ z-%YMj>31hU?v-?@;`-;_^1S>d-@SXhhg_W3R7xJuO>TCk-s`Y%X1J?Hca@*n zMQ@o=8X(_%wttlBD>wP2V&z1=4;+{`>2#+5&ffBd*=>(??a@KDzyI)a{{_wEI|}ux zBgX^eh%>u`og{zx#^k8h`#x$fUvK|Y>+3Vy$wyM=7Y~`{C08UUe+?YcOun^jhVf|B z^S}W^GtbP4|0^){`s4=By7rW(WXVrd+dIh~s@R<=*}de3A8aj282&PFYTLz)55^Aq9s z&u$Epcb%IxF>rQU+2fmCFW&l2E&np@RE&CDXIal@JHP70) zr@vgVVeqTOl>zdmbrZ7IPi`-l{;r&{|9FsGHbiqEtgx-T>Y{PxpmdE~r(W3s$KXct zQr*dYaR)W>iSC!Qbq{xy2M0_U`SH56z@V#I2j@T4^3zMVob^jO$|3JNnw~WpB#+wo z=k;L^WO;YoZOM5`2=x!)a@5V9@2ySI$rWqe9&L^5FB^W-ZGBa{lYF>z-FuDpgvoK! z@?MY2_m-OsZ0NG@q*h+DLgO;wgjUu^v@RaiBSemB;nV%%oSyRO9U8w~^;^l0AI^B^ z;fEUe-sr2nQV)mAqo2Bc{fT3k?6zV3$@5tQ<(;Dsy6eyT$u7Iib&`$*%bqQ7ebS&q zpxkf%1dry2TgbEjM|)oa-&B>he{SfKZjhD&X(3~de+r@<79ceta{#+(?8EI+`3@@ z;^~3kWn55aEuKE{*esNH|+^d95k3GrtVr~lUd9F=1v z{$1ow|6XC6?II65E7V4nUgRoQ;Ye5EMgHRFmU>0TMSlB?`OoNQ;XH8kte!C!xqReS z=VAYgT()zz>+SC^aN8;2dH?q=@E?R%x0o9)@O3Xc>n88Iz)xr%uZ%QZ;HGbdcc!km z!1E%%*t~1%1%8G506PTyUEmMi=Q@7$+w=V05tc86chB?B3t!o&Z8*;#+;+w2j@{>Z z{P^b7mo}Z}2aNgV`qk(8h)Mb81bDo=QIgh*;e4fAchgqw0I(m7~Qv)7Y z-rCE*`=jvKhC{u4*VniBK3~zxXFParV9QfAw(qnfh~l^hM>k zEB2n_4^26CWA>frxbIJgj(?*+$8Q?m_Cn#}bNqe3*7?cTo#UUGvlFjXo#PdwKAXHC z;2e)_EIoK%$60<$@t$pMpP%K!4R1yo-aO0C|8W1L5shd0p^V$KKbM^4H-D{Oa&r4w zz9G_HC2Tm$=RcU~pS0pEkE}?--&t;ndh`CP$Dif01zXO1JQU#;0e@%tXHyh=cb+=K zCuFW4_Uxx;xUBTV;tyXx!;dMJ{WZGb3>WXGo#7X4J3}VjdxjgEgIy;KXL!S=<3Yb) zeTF-}Kib=re1@MK|J1g(;?MB0-`MA!Q=Q>|E*8RW3OU2iD)&8d_>7D5>)N-ZoOJPz zmFgYB$1XngA{J7AaPivC^@Coickz7>2tBqZTzr00o%7rKT>O>Ywu3Py7gyewjz1R< z_bYgv-Q?n59y+k)@o6q@sn{;ezZ%!whl~3uwPwN3#qql{=Y6|Q^AR_#Tr%dH)4a>~ z&ZJxIr}z&RKg}Py{-yP`Po3s16$OP0A3V)N-g+`rzWFqNt|tD( z7wb;*4f(?B?=C;h=M4Lu>BHHl`Hl-oZ#v^o^MhZ_*%ljpng?v%x1nJ0X>KSCTJ4aX z=EJldL$w_}{O#*zu0Q>C4^M9?ysGNM9zHDl@X+kTJ^aSV^1yk|_3&cj(hsMV_HdiM zXzJWuxSm-!G_$aWN3IjDefIVqerD8?+fJqT@bdXL+57%88baTs$9{!c>!RF;t zdU)a*Vbj^sJ$z5YE^r6&VB3PtKHnTQdsX>-_2{^8{MA%bT|Jotx)~Z&Tg*tO%s-zyZO}hnrT1Y z-p#*B+4}0^8QomGf7;D2Z2$eqF>|~54}-dr1FrAp3w*81FJ9fvhq%7^tN(~@{^pU; zuSX5SxkkWWH-Bp3munvB?Bdt^PO5f%+r<}-|KiZh)-ImYIOhK5cf0u4k5qj*{k1N> z>JKTFqm5mBzOZrswz4k1&VJzd^?SRxIawIxThztx2ydAC^_DKaR(o^&`y0CWlOJ@y z{YPyVe|O{C-+Z>Ti=X>!jovk$5+1^6%>IsMz~XCto&p^k>@F zI(hgF&kerexlTT+WlKVIWhc+rrW_yjL?_=VU;FW>9k`xQI5?rOlm9gPoex*#ck*Qa zuR3>Rb#m9$&))j}?>hP6f^p}fQabsZ!H)XPb2|BfgDX~@nA*wDj=1f|)ss5;9~9%} zA0OSxU;5$uv`xxRUi_h2hzRNATG^4STZB%YIjQuudwM$ff)6j0F8-l|KW<)N8{_EU z7R>}9@Xz4!g^SL;)4@ZpTeB3*XB=L*WKFAM--Or_xqro-|UF$ z9rb2AAN%8+#QDE(=f_{|Shw}LcK+BMk?F5gxASL09TCDa?R;O^!{()X+WF_>itlcE zu$_k~3qzHK?fjmj!y_Kt)Xq2O&3M2sr=1INy_y}mb{-Owf9n;i+W9+wK41RIl6HQ> zp8^Non%vH#=f>|C$lG~n%Qg6G=k>N9A9!edJD;Nd-FIoD+xb<=)e-7QTz4Ps+^i4| zo%6@J^Mb;8!O6?UJb(7bZYM9^cXECADJKurZeQki!pR?-^N3aTxsy+Q=9=ZRK63IK zjvc(|_II58_N0gItF}3L%hO{{oqXBJUpzI@IH}Res}-4ng;h?jy}PmM^QWCWH9)wY z?{)HT^!d-%J?!N7C}zm7ya(rhZ65pV9Zvq%>A8Vd zySJx?K%RvM6lp&QEbYrnAMhkxdP>RuC5K!gOYAS}qBWv^B@+Ltu>KPLD$>6$Ap84Y z?B$(nv810xVync(s{ZTcoz`3Su1;p8jK#Jggzy^&T}kx1uJMv73FYBA=$R79iGVv_ zI*|_V5)zTdf_(5Bpq|UWV#>AI>$)BC{0fN3xepVU&mG@Gh6~^&CnFGPBHl55g)C91DM^zOhV$@BahBmoWBj3VyF|DSk5v zPywaDgjB|kVy{xCvO8hcwu(xB~DuGxo}M#&+Dz znED?4HaVbt06p_zl(Pfn?Lt1lo???ka0bF~a+g|+6(_^?v4Co$b>?`0D z!0>qcF}z$hrv~NMGPe9(Y<&Pe13G|jKZCxs?T^hEM;kyyvaUJa-xLOTsknG871dnWVIuG)k(vG+r7-jJ-6>ouB%WuvB+`373Ys<0T@@ z2LGRkA3`#vBQx~#Y{7FLZKN_W&azX#gl){tHf_)$oaQ70+F48+y=BW5-5QvhwfrR2 z&uGeso|oh<+kQ#dN_W|<-eIX?JjW$rV!SqlX+u#?fv96LlQF0)okzm~7<&(4?)Daa zAdbSi5Ec%W{9+1)$px9Wuf$VW@c!-gh^(hu~UO!_c_es9v6Q( z&!Z$wh@&Pw*GRv$q?R%HV4NGIOf)jqi+H!D%t~^%h!##uc3o>QrLW1xD2Brz6Z?QM z&zKRdo=ibngqhv;cZa#_M&bXeL%cr8%ibuN{q5ds7jum*YI%f#hIAHx8xOdUY^kHYwZyihC~r)2C!;Cv+brHm;*3Rjy|Vtrm7 zi{HKlwx$VgcI&uZ)Dc-Qnaqa`K>cM}!EKv}E9C5olt`!2G1MMz6a9qp8i2S*ld-Ou z$5<`KcH*aS{s`EHb2{FIZ1*}B^@EP7{?N~lg~urj5%?lz#Ye%;K!@D!XA|3;@|Pj~ zeryo?2na!b#B@G?E__MKU$k2Y>;~IiZnua)7GWC1B6I^;L~00&h!18FyN5UgcX$B8 zI95o-77vg10;xe1~Td%@oT#8gw_fFW`=#02R4 z;d_2;NL;9c($e*~>#-gINInFPh(Z3s7#89Tas=4@ZN3H{?Etk*L+z+QBq1`8MaGA- z$OA*2;f^r7!Zy$lq7BvvV}jV2_|a?(zI^zS7J(1+^+W0}Gx|C2M?cXI2f+^qvO&Ay zhm>{=(uVo5FxV~(;b8}YG-Chp7yD1Jj0GEgHKBui`ux{Z&pFWJIe_MRIzlO*cm?tp z=pdi<#5;jFJCqy{i0#v5f^xHHV5 zFo^AoHpI0ET#LXpw53DzJ@kpxK=@t&3r~UXT@%b=OhedcT{s&VKbQ?Z(C3Gmt`vba z%3Kwl7XMri6u?4n_4{_TwVoDGjWqOK@(mlyW#XrGD z3454ZOXyE+UF-uJ^;7p}QsFN^U)|l~1I8ZsaTNSGD#dGj@Rc#&c>FpQzQBAit_@Cc z*TLYg#W*-3n2j(6u@SJv2-so-Y%wA(!a2+_#1@LNi`v>Y5p(uNr1#Q8aQjLyd^rfd z9LRDPO|JL`VS--QLnQ-G)Z{&f5ku7BzkCqgQ-C6#_D4CB{>7!v@J zJsdF+ZJ;}Xc6fu05DqbSuaJDffi;Neqwr6(m8XtkAH{qckNJY;3imvxU?Cr&eQ7Q; z4Pb#f$p@r4TL_df@ujiUj_dFTk_GOQ4r{lBDYrs~? zwxLoPp6k~>iQg0i_Ihj|g?vrJFlP=$8AIT&;VeoBV?!LMpB#RJcIeNZ`A;$S0np&d zCmc3-{qhkKX@|?%aEwb>r#Oc=2HQhzgZjpmrz_z%K#M02(f2ge568rh!k8P$20DWs zfp)pg&)}=|f$gcE7n=q4N6{VF{m)2#Jt2S%Pc4=WkKZX9E<7j`M=-J9CSpAkF*%5h zOnpo?GJcP2q_9)=%gijs(IQSLeq@B&5&m!J>t~*}36QaX-7>6sz(!fWmU4`I6^HxQv!c0pUueQey@By>p#)|FrLAG+;fC`ObLM>V{CyBjllRYBE>zX z*hSwOjCK!0yJO9?+iRSn`Sk?mW78$`u~SfD>`onsF+7+ljhOAQ5~VfAAY+g-z#+|z zSV6hhooFMsUPhT(EDLKgq>aLOd&!tcHjVRDQfVxDWF7A2XIK&Y#E`UV}ne5WpS!`D|7CsT<{8^+a4RiDg#7kvCp7C6UvchQ% zhQ5aU!eJX)gGG#?HC!mxa0)im_=~4dov?IZ5$-kVFMZrIhWI-0d#S(~k3WwIU}JPk z;mavl11x43#|_~qThylu`gB4cXP-U>e@|ZvBzyLam%CcAhCjyGUp)D`%MU^ui}3`% z0n9HRmAGu7>|d*$A_eZVveQp`Iog_=&$2AJ>$k7 zPBG^9qu01GP{szv1*!$5AN;`|WrE|vwGk6St{G_xXTx=a-EBB{%D@AGPPxO+?ql<; zebZn=aqJS;_?|M-abF}42wO#7;Axvn*PngsCa=#3mydDN&*0t>p!Vb=j)9u~%Dflx zUI6A?9+!Mj7m7M4*f8T@C*Jq4huD7kj8u9K_l)oXakZ50Wyl|Ro%c6p_Mn_WXMgF} zg2Im}&>jl3hax4|5UTKjjC05yn|y}*L??kerE((r8Baa_w-&vp9OxTQ>GRnP_?sGI zU*=tGxNt#S!`l1}ep+8Oji=<(cKDqzG=L2iX0bue5J!+Lz#!N9Yy8xBnN^O@#h=V% zYRs1fe)ybpUSLQ z*;v!PY^3f!7M^-PlgAe^C+=x&ABk~Y%G>)~2=Zk?Iv*AU{|mbTcMLy#8 zgFqH&^sMJX(JvHi&__WA_~Nold~s?2zUbEf1lrn!w$=?|!wx7kSGw0}1DRz!?xz9M zE{OH^J{Ly9uBPFrO9UGkuVf?fBPX8qVt;<>o=?j>eO&x3>1pSAlLht&&^MprRnovr z8S_DWv48t8KP~J>dSMM=yAkaSd?D%OeJ=AEK;y2T58D2c&kP4(lbE1o5lh2`!N2-6 zBihsqn+CXTDt>+lTT-6KB<_+J&%xaBqa~gp@p6f8llVS~EfT*Z@p}@Vl(<)71^kqbQ4(J(@hpi` zCDuv2RpLDo*Gv3~#14snlDJo5KaA~kgiCyt#0e57OT1Fz9EtCe_(6#+5;sVEMB<|o zw@KV3G4mJ84VE}k;#i5}B-Tj0Mq-o1_ei{3;wp&`O8maW$0Ytq;tLWhFfP*(De+Yj z$4Q(l@huV;NW5F(dWjE8{Jz8viMu5Bk^Dy?vAan)dWq@2toKpQW-rzo(sT4C zeC~q0PH)<%H|AyK;_1Ol;+=nB@^dmw$YOSm$+(%ZVRU7AmeG`-p1mw*6Mp`iv9rF*ax&9%blG~{?1Buv zfuhgJ$~Ngy(#yU}^`_svoG6>CH_gm98ud9QjWIVvj~m0E`ljlQ8?tiJO?poddwIaT zJn1CYI7gpOx@wI2JS1agpC$Qv<7SQCxHi|gAw4Gpwa7;`j4bKbxzE$F*-5gN_XugPDx zPH*&R!rXb7(qSCKyqvYUD_8}UwJ2AYpRG@J8)yZde31o3)6Fhm4^xbV>3OEvV#{nI zdwHEN7hrh3ai$R}WTa;=)w>&mv7ZMl)TeLM|0;Z_<9-a^l%v>1>WsuV)_%L<_Ul7}Mb(Ur>Fh zsgiU$G!X9lcMn*Yo34|t&n|!kQc$OiT%BH%o8@k&$9+=Lv-0$PzJt{$*+`R-noF%f z_C{;UMCUnqAVhj%yw1T~c9spm+(#@o%OkbyG$H;O?l>3{M`%SYKk^H^eo*L>9Y?RNU{A^R! zjLjx}YVL|GoqlF!x{)pL^N6Xreb-q!^uJ>OEc; zmZuxD=*iIvwwtajHT8LqzvxY5)l^uHEKB7{gABDd?%Puus;uOwXd;Hd2)qnUu8!AJ-{jc8s zxtuBAOK0JKJU>tRU?iny@c-yRcBR9U&ddS>13f2T&o%P{LL%9~V+RjYRBxHi|JI=# zEOY1cTXFu=*Du#gtNaap9~SLl-XXHhEb`^)|K531sF=S>vdhfBm*AhiF7BM`?|(6C z)o&jEbkYASGDu&Oq0_Hjmzj0j`s@ukxrW;@QRQ#kRIquAs9w^HnX_iknVURs{(^;z z7T=^H?RC(q5i*3iT*r73=@m|O}9|}+f@2bX8eELO=wrFxA`gt;1GFi#oohXw;WTkTaVp#EY2&YC>DO)`jrFsYbW0& zrgTZ;_SSLY`1;TCHtFb<@-<8O{-caXxQuYYYtH>uW&RHa2!H30U3LtR4o_9d9&~ul zFJDv8d47rKD(<u$di_@N!Q(~_uNEC%rof{6Z?&Kc^t~Mzx+&C+~1mo&mPF< zzsJAU0tyA5y#en1hu}YjV*UCv?h}JYST z0X1Y5_$WZ}TfuDr#V4lUGbfpT$J~s)aq*CecLNl@2iyWsTH+^%;=5xZ?*oSn!}EE_ z3h+FD;x7d61t@+Ac(hWKqrnG(B7_q=q;TSZ2r*7Dc#b3|gKq^WPc1k&68rcdCxTZ2 z6mACpaX9jY{0aD~C^0+%{3!4q!uNpfl1v;tLJTL~e+Bl>B90yG09=rrV6zJQqMgVe z{Lm=aAM(TC7XT`k_)n7T0_#WPvp?cwgP#JZ?l$mM(PCM#;Hdzmod#Yk$+Wj;r6e1` zMSuqR6oYpGsgNz;QXmcT7vOUM<xld6gKh0?&}-S>TP5TmWta zNY5tlg&6n~($Z$u*#LzngLg`DG5Dw?w}Qux73(z~yaS+ei@{$5Es#%uue(|dPXMn0 zC{G=@MG7b0h0nJ|h`$H?@p#eBpMXD|fPL-=Zv}_Zq=2;H;B^4CX(o6JKz7&)-YLn& zU@JiJiD~Zx$;5Leq5Y7j7Hj}qkj>!kYtYv1c-H_t@>B#b@E^zq@b4BdRsmTH zZUZP>y%2T)nxKyvTnjWqZUP?#Y>*w`m_=wa$g$uT0XyVo@RtDD#{s52_$LrfY`ICS z*9+i58Zk~R_z0ltgwEhf?5~>z*$Qq0vLO@CPQkM#$jRVFAQ*BJc-m4?XX1gW*!PIC zl;CYZ7nKWs4an?5TN5u6;}b`vG4?RRiASzP9g(LBJbJY#M}uQ-5#9n^WIz#RP7iPc?$mbrg?>aH99Q;V8s82DtWdm%2IJ0sXd)k0;6=^MCJady+-xJ`{&9F7{ zuK){M#5{e#g?FH>5q=N&G(f)O0tenH>K_bV1UL~#1D<#n>a``+z-&zX$v}@G#^f;0gDLc_xC_0|yaq0yhF} zkek3i0Kq-b4gBPNqRsb#pSxd_kAVG)P#45kgA0HokRJv&0;F3L*e1!u=K-pV`~lPz zAep!vp!m(;A0^od9`qo_6X>7@HvsND!F~^kaw_-`P=q)(aPY&T&k%3k0e?XFJ>Zc$ z@rn>+75G!Y1i2O515n>_f%zk1o{8W=#TY9PM*+SDAUzYnDm z;l$rpqKy#$6nJO{{Tmt@+B-_CmFGFvn)qyjc#W|69-m7RMgf9eN z`FqhfqQSQx6#JtI{MKt&J0VUB_^U&R1N|M~HxFY@q;PP-8^{+jvGa&H?!~@|cjVr} ze2wrn@I!BlIzJ5l7$`ybC*TL(L0OOwf_>i=V$uLkSd(Z-YyxU&OeBV=0INV>t1n0NH8}_yB`1BhCxp3;}s#Jk)_N02E)2cc_wqaO_hfRt|uV zU`4WD`611VH*!L<#Jv5%4v{ z*$0ls9y#&{;-3ME@4Zis_RnRG!rBn=iHm?1$i?7SM`OH1S{ry}H0p?OEm#=~--N6J zzW}%(6Ms7nb;Q21Ht=28`{o1L4Bi8fZr*#~Xm8y3iRfpDLp%e}L7oLZJ_$B~tW^u_ z37{Bq6Zq=MXn%?iE(hu%SAg|#V91%^Yo>^GOa)f~)K9J8BLL|@ygeRsEc#S2_#!~| zVb`EO0LjFK0Ii3M!Cy<^wrd5pej4nJvb^`r(SEu;(@}4P6FY%k$U3|m`vE{Uw1ZCq z!51;tCkiYHAbm98PXHBU2YBiX%uCR18u*X15eM<#124mSv`WZY@DYI0I>5JMzuZEE zd+(K_J#_2mV?Ba!;zFPVaxwUg1+WKXwh-?P14kg+zz%@cC&ZhvKkhw*TfoZ2Xluv@ z@RNXx!ojsmkO!U`Hi3@=q)%dsz;*!P2)BWM0LY%S_daha@@a<-;IDuL#9^rddmBiE zOnXrWFOzJw9PfbvZAj|`_W(}FiWLGI3bde2)!_YrrU$+OruPK15r>%G%dGu$4l(T|PKHcO z`+X@s@m_%Pq`jB#OX0Nt@jO8Gp}mYMfa3rEdQ4Pd{s&e7F+e;p3rGc`fz?0)U;wm$ z8b|~*fC?x8ypM)SnD^C~x4p14)8Ky4q(T51{klvGda+N^Nn$M#|cOW zmIAYZ$-oF80O+2~Fs@2Sm1^5tn19%ar2A%-^ zd;He||FwX(1u);?6fk>-;?55Kp`Z2>9^ixf3%Ew_@83z0E<2|2f(_X!X$$L(F_R~% zV^n(DIfzYLH^wYWoiiaJMwMs6&b{>P+#LOlF`M;yF?@PR;I#C-JpG0>*_&0!ASds} zn0#Z-)Vz#L{f6|s2^+F9jJbKaYfTd}ayLv(&)YC@_WxzA)#sU(iyLOe(vX!( zHO*wq&oj~XH7U1IeKeHXni z&n`ex+DE%kzfqs9%BKHsj7iU%m$NZI@9ag86)hKFIHR_tg8cmJ1#!zFfDXy{9 zG}YK@>@|)WXAP@W)T(OLwTZQwT5YYN)?8a$YpHFjwbj~d9ktF{R;Q>_)v4oj%R zIzyeguDH%p*Hp(0Sg*iH1!d;4qO!CKZAE4U)x4xa)UO#Dwm`>LXxUcnf}V0{s)Vkw z&^FncX3d1Q1<<$1%4+4%LJ2)$p-BRCNrpCQ&?gfb6+ovVXjKBetk4XFn#FdoSz0W1 zORL3UX|p&jE(^`vFDOr}PDUH1p%pXHjs&5bRMt&MGs zu0~dj&ol5zxkYJ-wIo=QEoqiaOM#`xQev@Mnqi?tay zu5x*WvLd!3p(42=4W3W{Unr@tRy0?%RJ2yKRk$kTmCDN4%7n_~%CySN%7V(G%92WJ zWpiaqWouxcRZLV#pZLMvqb=Au2ly$Ln33bVJ zX?2-(1$9MrC3V)i=DL=;*1EPjSDn0GSsz=UP@i0%R-aj4P+wGEQg5wqu5YP_zgqA) z4fOBpjkY>_oukfK$LbaJs(N*OV!ftbTW_d0*B94Y>YM6q_4ay4y|bR}SL|2qSMN{U zui3BNZ`g0%U%cP4ziGd1zkR=BzjHrpP&B9-)D4LZng(ryp~2ix++b;FYOpof8ypSJ z2G*!(R5hv_6B{*++D1d8xv{v>(%95!YqU2y8l8=(WD`DrftW>MQCZZMM2p6vwHPdB zOR>dbX|mYRV;$(N3_VqaUYdv=szvWKqi0&sD{bhJ4)jLm?ulyjLJfML0i#SYM%*U! zIy=T&XBk6ZQ=y+FqK|3Ozs%*u<(BfMa$C8*+)?fKHr8h7ehnpKLXH^nN5@zZD~t(`jfUmXuECGY}#fUL#ACBGuQ^wHMG-#rqj4TlRjc5>!uwbKO60L z?t22;h3w33yR)6<+V`HHd+s^s{-5`rw%osm9=~5}+erFJ1cxhu5#&#o-NWb^gM&VbEV{(CZ)jMk%jV~S0LL11`R4wK5OaCH8R?Qt1HO?k~27jvZpsN_5vX>#>U7{3u6blL1H5H zFjfg*zm>7|L|-F~x-gfM+o93$WO`b=3PtKxzk50p3)|ZGOd%^+Gbx z$>rwp>dS>2rYm$Y)DOiY_UaR+0ACygYgnw)lTs@7TRO?jQd z)_d+1ljkc%^=&b&I9o*Ztadz`&DOa_#FXL`yy}ps{zOzQS;t2gGbSdFR{9>?c3By8 ziqK-YmeRLK>3xT2Ic6Pi3Q(Y)(LR24{o_>qr~2Jn;hzA%3@y(>%&QKHX~zL_NFCO0 zhCZY6)7-=`)Ck+e?6PhmQx7;T_lmveX_JVm`TQmT*HJOm=d9$MpC7Ar3QTu;$8~yMTHUb!Hunuu`kmI-ULBQD5os zT-55+;ac^yXW;E(k9uT4TU47r+P`S`_}!@DaNupTdVJvAqWn`29dD~$KH>=-x0gZ3 z@&Ooe!UzN*Q>z~F@YY8>>S=B7d)X{}`DCG2-CR0u_NL*rsBX1;)7G=764j4lj$T|u zURf>Bfr0jezx$Ph9h^<%`rV*inek1@ciJ8yW<4>hb>>Zam&J6Gvr;{gbtJeZ5Rmhe zTnXg*+o;#-llsWHPHHPT{j{^e1b**P8e-q%#gSWdCxb!TqCN;itjZdyVGLdk4A_Gg z2eR3OX;2&(v7h@EcKXSa`h4^G)P7V9!#}~nf?3uGe~IujTCtTeE|DtL*5K^w%P4Ve z=}g}D`vA0mH>3Eh-f%Y>?#?6{IjxO=xjUm2qgxT6nxE7@N!Vjl+>ZjrzDisfI5eBJ zdZOG^eQ^fYRmd0E;2}^<`w}W>A0*G0Yaavd%AmGL5;X3_YlXd{Q)WPxjkf6DNL{-l& zY*onoVHQ=1>H|)v^M{r@IS01k)sV#=JV29ABZUQA{%{pR^Zt7e%%%KV#+x}+QU@6dF}{6lca?2!3I zU^Lf5<^coi$I4>jLmArchp6RHfr%_%;j2~?@l)OcA;&a{s`Zu}6Aj%9;b9g-fKfTR zeh_<)-v$`dvsuT9`Dm?v{}PnCa35soXlN1DA7>o{RD-^55R+}r_3*&!>=0Gdda=wg zER|mM7%^i+l+#V}fK$jiK8t4Ap=361*LPvgZQLV#KE93KK;dFZR122TjV`L9W!x-Q z4J#$C%!FwBuJxANaA>@-THjpHo5n91dk&jn#xb)4wI=QJm~ZVR3`1WgQLs8QUZOpx z6Ej^S+A~1MUw__2^Nur0KWBPseu4Xdsb>@I*j_t6t}WI*DaX0##0VWjt@aG(@pJUY zM1M|~selDn&=xh%q~(wt&i=vnsQD=fU;@7aKqNts-vBsf{sc-BcR<)ScnH2S?Lj!j z&yG^BI?%u6e#U|u%=H=$#cnZR-30{Odjo;|z!Bd)O@-9DOd-3iP zF?pm^%s*v&(NidDrr{;6u zuqVzc1%0Oz#Tp%AI8ass9=j%(je8r1r7Gy4-$?_9*5b?(Y&eCR4J&%QiFveVrCjjxK)dyZ(@rC8UssUerfsZK8>x~>$>Cd7d;L39Ck)lG=5 z0r3#LK!T>FAY4~W!Q}zWc4{pddBE8qUK|B^m`EH@+Xr2l!IS;8kFoyxnVUm&`wMgc zWS2D}x;}aGdDGy@BR~+heFl8}9$9w*{Z3k(+H0^2Bu`(&uFM8=2ejMvW)KjWd$~N~ zJ%Y()e+Pi}6#q1f>1UnpchI)?e1;Civ&N~l2{tjU1?q{HZ#slSk!eR^fuf)-6Q2H2 zx(`-Bp2)1@5FU+0^~)N>#Pm~VP>FLACqvfpFH{3P)wvTPJ;rOf(3MjGPNp@gpmTwb zED(VX-7cZ+*#ISOz$O~v ztV0H=p26{hBNqy5aaW`B8k-YKh_nUN^QBM zzLjczH?d7jS|7nvaCX_mZCRT*WR^g%9>!`ig(jwy*R&MoF=cU0jKKBg=ihoao4h3K zaEge#=ns9hJu?t5sa4G@Hz4><4x4IIW+%|`8Q?7dg2y3``ujTdRGoU(lYDQ+F3FSj z%pl+4mHH+eg1>MG?${3hW@fwyO7fuORXn*TFPV1D@25~PExt{iJ&iVKp^NuBQBhkp zv1_hA60c0I#Br8h%@{?!n2)jdhRmM=NgfZGcLBpaK(|W>sO|9YO5zJ3^dCd!?N_Sq z0-Cy^Nf%gPOD;!a7&48D1HTr;qERu`ETHK^Tk-bdK4Uw?eMSX z#_znW%I#54cn}N@oU<>>;!Q^KS2I%P)^$+TJ5r9(5-*+-ms;z%ZtErhOh{LenEchh zi79J^q0kXW_*y5x&e+`eOn_VGq6SVp;9QSQg%}e)9<_TO^lit6rE|9g_1MOP*=5&X zM{92(FK^_fz{}TpxtEuB@N$@!hk5xdFTcXeJ-lq?Wtf*g<7EdgZ|0@0e>TS-=jE^M zWcMU5bvvtCq>*Q=*AJUubKuk>4l?&UfaXT{Gw$=_V^sw18Y ztiY?DQs#P8w`EJ9q2S^fZ~iGUFzj7=sy;Ayr&?kc)y;Nrv1qf?XWm(4*R+|B&dQC}BT1hJ>^?C`V^ zwhEXK)bbkFNbh>A#f)w5fI0v^`uR7XTHX2(+>QvD(vxlu*gXavGhm+q_Zjd<1{4kX z)dpN>z&r!KX2_j3V7I|%M!Kt7M}h|2Wxy{Q@VRO7w;)KKoaRlVXH%RxDgDx*e`>&E z2JA4}^%?N92K=H?|DIw0fI;^g&}+y&Y0y0ee9(Z^23%r5&4A|(eL2^L4f+QLtTyz1 z%aA`kO@6IGmm9EjTKx<2_1C;PxKGgO%ruy@|ER&w(cN>Wz9!D`pP!@iJFZcmle-q| zY0%pXck2*aeoC?~i%)4ft2yp(mp0B4mc@nYP$ZU6e8EsyiugOFO+vLS#iH_L&bI2- zP{c3qydtz6Pw_~zDk>_3#zZ6%inI%L4W7H|nuL2KIUb5egk^0N{GTMP!v8LDV>x?< z9oZid;)y^&ipPVAaCm103~_%Z)$a%?9l{R3O#a1%6+)mx3Opnz9g?tB@hgeA(8#+= zO?jH!KIq4Yvl7c{uVX%)cC?=T_aH=@v!} z|Hcfc84&Ra_y3Xssa@_H5M6|Q2%>&_D>5G9Ddp<$>i5r*N}(mcC%@*1p;G#4;{w<*8+ZI zbCZ|8UmpX8jqOe(|DV~tDMT?`qoe3HE@0I zsXQ(xPT@6ixd!ksL`FZFxLgZ(0wUYo_b#k2)K6SwWbS(%eV+si z{l<4WXC+n!Xz+T-N1exgBL4d&)4T#UuW?T7x)yt-X+Z&7(DwJdItL8T*i)I zKxjV@ynt-M-pbL2jRw<96PwuzeU<`dkqct^EqRqQN%s=;3A)JExAETR)>6zjbP+V= znOI%}ptS)0&0^NZ!UmJW%p7YDGl!|46;j=-0yb++A)B?jFlKUCn4=AO%?#$4GkdH! zRs;!McMfu$m5g1&Yu;SC9dq^17~N6KV=f&8uLp9&ljP`)VmIU}C-Hs+-WcSBNxU)e zM!~aB;xWW%8SvO7-V*Sh2ancIF70yzBe|=jR=3XlAfD96;jcBG9AtHOwM$Bu9x^fZ zb)A-EIVv-@7nBt9Mlu3x{zF_wUXAMuMDc zm`~Xmlh{mZDGIA*xYEQ_L53!~k-Qn}g?Ok|N!hE4fND2AFp@%P5 zNs+FQ9F26MtMo$$9|kcem1{j&WUa0P4t271S8$)inwiucf{vvOt^#S&eGSqtXy_*y zK3~j-QIOjM^oHd!1;6IOW4)~dnBKaE`DCd*6sMjm9kS$a^Wpaq{xA)L&yN8QDL#!MszBE2+P5ow2yJ7LnT@?j>Q)=U|XXoM?O{HwqSUaP^Kvb_t%pVJ_=!~z}5sIvU#0oyGE5fT*tXiQjglYBooskmil-@^zW_5D) zbPIY<-%p}L^2esszgp0!gg5(R3f9MFW9|Nqc;0CAp+xKsqnC9NMc&ES8&q>oNLCX5 zaB~D5L-6opb8|%BDs6SS&2a}`q=@g#TP5Y1)r<2!A}O2ojnyDW>4}3qYi`PoUyj9| z%CC*!UKjZHONw&7U{NvyAzVUvq6%BQLOq%0KLFCV%skHQ|rSk%&L&KOCyowCgt6}Y`pcVSs~0O!#NuQB2#;!|)pK5z~yKp-AQ~i;i;-lQdJ>hv= zDLonR#7W|RkpBOSfZfhmGcr9_v;h7q@?PK>Kz1FT4}cSt=OF$Bz6bC*QcnEkSExJOnibV1Ah|mn1K%izKTqG#sHt3k1qjen*n?U znfUB_@D?!E1bzeHeq`dm0BBo?=Rff6fL;S9__%=+Y{aud3^D}*V~dfgtrPH3xt8#DXc?CfxQ3LS1`UoZeIfxXQd@%@>cTD8F2yfb zPOh%&MpFuKyi%7G7Q$54l=S{-bpM(CWBaxJm-br@2nWg!v>fO-P=3&TP&_z# YP&+tr@X|r{HOtqouH*ymU+W0`7qyv`y8r+H diff --git a/epyt/libraries/win/epanetmsx.dll b/epyt/libraries/win/epanetmsx.dll index 5b0875945ef7b3dd40ea544f71406ee9c1bcf233..939b31f36c538fe773f3e173bef088ff46b442f0 100644 GIT binary patch literal 147456 zcmd?S4SZC^_3*z*c1eK58zd`WNnP7mg8_*KG--(Lh7H~g8$d-tMMZ;%@2Ii`i^V{K}tO{r~EJ87Vf~aVIT3&h}j2 zmrrg=@xOfXKH zIf8@S{Elr1o^YCauNic)`V9;!SHH#y=IA1(tiR?|TY&gQ8L777cwF*t-&9*Z?~~F~ zZEl6Al?bq@(&0z>J3VmCoB(NC*H|b^+pTuQi@0pI>8IZ|5 zNq=tG=yWriZMug9w?&gYev|&(H2d_~W=7RU+G@)oL;hj;+^64m`)$=EDVjhVn`9Yt zqbd@3QF2~Gi`H4!TPb0%oI<{I~jZ5Nfat*Yr5fE?~ELjMb}OO8V0yj_~YMTOv*mPtMEshrM}&{b7He>%xnt=%HPOy77h{ z3FJ-JjeXJepzk*}=;1(KzTUc;x0v4Q&2vd}{l;qDcwIL#^w7GLnDgAtDYk}YO<%2t z))ZcO#bwl@&)=oPQo7+-e|oA-FIuCA>+=eU@fwby#i_O?f#Wr@2A8DTW`c%mtv9dG zR#DnA_a?vL{OIgdn|6}h)&ORcj}CZML5JwdWmEwxrmoU}iW)N<8c_ zniuI09g2QcGWv^p${#cSfR!fvzN46~A*4k{5{MJ3uA}1fmK|Edx1`?=BN9k1rqdEg zYLRwYlqkDzL?8q3b^8i}W0KK449l;gF919={|ARR{aS_X{DVE%n%&x$Zq*vDBR;v( zL+E?V^y&OLovTf0rfZ)V4G$)D>WW|VbgDT>;QpzG^KSCNl%cayZJyH2bMs)uYNE80 zYh4q9H`INS){rLo!;U9MFoG&_I49y+ z$qU}$*2fegVXHA1yWY(iS9lSiy6*St;*7*vKs^(G@7NvfImDVPxnVo$soxe zuE{G@0%1XJH_e5t^QOh=ug1SrJ=m;zfK;8CBofXPzVX5BvEoZolsMR{*agu&76Fh} zzQCSR6>*CM_&Bx-*tL)8#t2(`iY>NY1l{b4qL>Z_ll;6Chn=^9f!^?8;P#55&$Sg* zwxU?fx%8zJo3cE!q##5g~|CM6%#nyUatyB?wv@^pKxw2ow_TUJ^x&KVzSH}+dX=o1G zi?(;>`iz%i?M2(ej@{JU(7YrA+G@UShVx}|`3>;Z4KUXU&Gs8mR5u{7pSVIJ>uJiw zR{4o>8>_>)k4U==7&Yv?m(t;^2B}Hd_%if~Yk2;}a|_R1JRkGy<4JQ;WlCyVx;@>I z{w6h4yCz`x=gslnsxyNAF=|2;L_JCq#7S z(R5Wqw_r;RDPL8C9-f+Q^a-a&#{xq)Hir8|e~#SL!{-gwjUBqNx)TU1sTq3ML~)tM zG)ecvB!N7)aEeZUyF6D|8iDkW*)>x<7kfk*aLHIOwpAE=qdWE^#>%D_0xg_&=b%ux zJ=mura%W1XBh;N1OpmT4J)EW+8=_8ygK$}?ZgfQ^9tiDAxw9(z2pLEYr$s;gG8R+x z)QxD&c|sfA)6g7ndrQhr09kLi*rKLCJST$(6=lxgV1XW%nCYjwN=cG9;+&7C8G*2e2mpuMG_8C|WmzU0@9wL%w2GEIg|fDt5gxzcmRl?i2u zDZ--9jl#NtJeMMnnpUH$XtGJ&?uPAwxkVqU`6_fEHE>5{{Fl=H%gv0^KUUMbV$N@w zs0T)sj2H^8N94lb_rrq~Xb7Pj-QYbK`S82W@3lJK9cebV6Sm$;Sh~5hKeYz?#K+Uh)T{|~yB_ucMEEY8E;LQlEi(JakB_eB@OsCwk7yg55#v8DwsM)gC_ldE8-R~y!t z=OzLPTE!AdDW454=CPt!g*Ii~9ja%Vdq`2fh_hx3|=(1tyiH(UKK%bU(GIqUN#NrWh@@%4bwC)E69sC%e(&w8eE z{UK)jdjz~MZBy(Wy}C8F3DMwP<0806n@WI*nExFQOKwTlt5uGdNSJ0NzvSwe8&6Iu zeMwL0E8@vXrLX8IeXb-M<1(0WsyFFjF93%VRmF%p!I)t8#9osW5K^cNASu@B(ehh* z;=UBIC^-aok2YnMmG@sNeuu=r>5Belaf+?urCw1_Nz{^FQNNd{KlF;ak0@YdeZ9id9rvhAR;}7(M=UDI3dtLjlV*Cgk!^Pj1cKwa_YzrrWSQyFMz)wK_bJ$_ zFvG+q?XzIH6s#Snj6k5?ncC?sclMpBo!`Q`mUly4U{Z9q?mMJwEH}rN+NVQLi>lz5HH*>>^+E7beIq(ymx5V-F7L_?xX4`UiowUozj61n?>o z;8X>0at}bC0ywP~z|L!XI%G8Io#(@)!Vdm5uG=zu`ndC4VUBzMsR#lKca9`q=;M?* zrzXlPCc3SUl0!Wo&o zS`rNTAN<5xyPP>J!gTPM4zk$_QW=r`Kwp^ zBMq(%WS5c@F*f@PT12pmVP}Co+cF>Q_D3QDHJ&@-ym3{EE&A9;u~^4)6!W7a5T75u z>H5EDq5e~){<8lq^*2iWk9{cZXVLe+zWqa0`=$Oe>Su^e$xvMygA<(nNd%>tKCQOh z>e=XlUF01=USpzNc!W-m?q!h^=NAKhX+J8z0M%qG;WWhx3U0wFJu(@-OKb1lza5XW zo=zr;Fb@2aV6jDq@t2t%aZX`aMJEWdGyV;XUi!yT;SCgc2eC_ZQVKVU08Ud@5}OggKo@2#f@nV4}C5>K&IxU zqsWS8X3lTuNn$p!G&hA*yT4%7%;fp9U-^Pev%Yn~-O9=maf!Z%ntN`D`FQ>s(F;*+ z7d?Hl&35{CY_?~3PX8{yJa6!f&9m9=;d!0s)KhG>J9%1p27S+FyO!s9p7c{~wkbT1 z@$BU}kImel@x0G-_Atuxyv}p#Y1l`sC%~_%&o0TP&tlGdSuE*c$D^W{V&b@ZiEY0` z&mr0}*kHQ7UNRZ&lA%b)(sMc{ICKm{@?!qLE;JPr2=I6{9FqlB7^BrB_Q=F=L7ZFS z%p7XdAjzB&w~q$$vMqaz^LTPcJZXA$mmYfW3*ERh!*7huu8i3Gh~-i*9Xt58J9VSK z*i8oLh6kIB2P09M9xl)5oM5$JF=NnbL3hmgIBz<74K0{N2M5OMhV!Xh!E+9!F)>-# zNA5A(g!v}iUk_Ji=td=#d$N5IJH{M-VMx>DC01u;+7ZiHF|BGv2nzwk?2~NsQS`JC5y zN3Eo7phJjV$3Cn(Fp=2&!(vN_z5cM+?-D!eu-L4shGt_m09zn}dnrPlK}*Qbib%)k zgXJsYm>Ws4MJi*_4ZmY&f<$(28!G5JHoqSH7M9bnLnpAM5YGJrapBxX_5W@4 z{~`7N4)wo{|K8H|TBCGZg|SK$0o}+NMwfUDf5z}oM@nFr{2PijH0Uw1en|mvck>f# z31fJ=PUrb?h~bG*308f*o6XCRdABPW^=hzN;QWa zMXD4lIL8@;I$bfxI*J0`@fN?5<5dAwEjjiQGQs~`(pFWa$=;B*@NC4PQT8EmX=V5F z-)rQ)sa_tGm$ckF&7Veow1$^yyrLPTs2L^g2gj<&1(RZ{Dh=;|uF9}?KsV9H6J1Wk zo8?68q)DexT(+WKGP2Gg7|t5Qe_B&h0BX|+dyN)0B2OgbFKE{zlkBX2J%;`Gu!vW? zFBDA)b{SdYNH-kOAupvtJh;@CYv6CJB0t zcCXQ_`u8C{l354fv6WCUZJjZ>Ex%z)WPD16RMdICX*s<8LnG-yDX;iUfv&UE$Ef_6627!|y*r$V~rElw! zD>ZmxWKv8re1EcJ2=;IKG6~cO8e8Hh;J;So$m7RQq9OX$NGtQfp3GTOfoM1{=6~Ae zaMoI>CCe{w>%-1vyoIxt@;@zWjMQ9qKL3e&lBhuc=of|Y_9)R#yOOOZ%6>9`m-s(G zvZgFZW_m=phzXVT5m15hP}xlo(-t@$E}14|MYQ*cIp;r}!v3D)YGEfR@GTa!H)AJN z%iHKE%pqoIzhCx$+s-p-*FXB>Q4DQIlX_1LI-)FJwY*8_Q+oBdZg!GgdgKm_LOFGGYYC**)3)e_zkTrdus>}pai>Te z5iVa?-%6QXR^F`Mc?a(#@4j(8d3Tbx%gXzX#3#XxlK17LyixLgYUTagA$hyV`HBadWwf#CT@Rq((Q{^`f_zDhAjMxu)3tpWV$y`H-K+#jjWtAlt;W%}_)8Wq*!lTS8%%wFNdM=*98 zW`|VB1oSH8M#PpmMdTfzD3kVmyiCsDc)bJq3zMoad(FtY zc&rfHq;lzon(-?q0bZN(IV|s0Vk=A`tk!|_>_8p{w#K|VGSH9j^g|As-N@vC2p(u; z^#vHFw@~Y((rvY?@dVQHg)2g9+_JOknTAQbw}kB3iY(ghuioM_x|wyfhA*Xxtg)k0 zZ3&fesmK7ok;%lJ^%2!HZ6(jRa8Abfi2XjSa1Pz@W=v(a?bj=2y2NBB=b0rjgOg)s zON=WyW{$+<_r%m^NTVgPFga3WibNJCM+&=2q&ps2lKb1^rEBXm9@( zb~&Oiv&|FE%&zSxa9_r8u3DJhleq0+i=OHbBANzu33q9~^^*f%G&E)Whf0x(IFB`G$ z1qmwg=FgkNe{^lOXEytdQSFLV%EOt3km!eim|$e?oEXkLyGk~JH>aDMy^aC6=fd}F zRb^)_$0Gxgba!^D4LcZa-|hTc(#Ahi0<9%9!N@tI!dUHN|9tNbUrRLA7rAt>&xn>s zMm0zoHGX_7pAe%bF|bp+^zisDiSV(F0=G(px1Wk3Ih%d{@!d(u65;LFEu|F{gJpHN ze@_Nh^M8Gc(glUjBHF`wbJb^F5JjBY*jK}zs7MH$&UdyP3Z3IzGn ze&p*z7naS`64UaC3kZi|NN@3>tTaXyRz)f@CmNY&dyUsccI%Og2bV{ND!E-58U9m& zGjoxzT89D`xGaQVas)uQvYq%{5@)?{<=rBrO5e%*r%CBipCJ2}(jD_A>k<2h(o*!; zr|tZ9o=|$A<{Uw2iM$F%iV_gE&}c1Kjl>-mnaZ>XsV{&aLKuXsi3ddJObPzeaOmfV zbC%YCOPTEjVHU5^%I;{TkyGS1)<>Oe*`dK+d|avxyR^u$vU0-4UX*M|avpJ&#?Ydw z$d#EMV{=n8S#)UPkBl8m-xONYnjRTtPHR2(7GL#v_I+FTc(hC05THDpU0gex#aFIH zQ?j?kle)?G#Zi-S0EMrPRyG4haZ#QX$7)#j&}_m6T0=l_);?|FeV}fRPo2mD#P)9DXZ9Yta9=y>z`?WJck@dtxsSbp}rr(Y>E1Q(_iXa z$$#p5mLID=kK$5O*40triZ=cs>=-6z>Bigo-t8jr{E-PF@X)#}f#;^rJYAKM9N4K6 zBbX`OkR9erx0#Y+zS}WfN=A?9nhbC=kCIfuCe)sJV-iv-r=oO6%_xP0DW(JuQG6m7 z0?dvm5m8l{-6NMeEJ}G47b>~aOcQ)YPM*je`g^b?cNC9|vjh(_Lt!OhvYPT6g{Qo0 zrZ#fz?P&~Wkw%IcWo(gD*-g?$N!myf0}MXZ24qT7YEmI3HPm<%a2ZJ{I8lXG(RSv9 zP_vY^w<$@rz>BD=Mnt_OqRJn!|4NCfAs%FvUtz5LKs`+oEl8_|rM;-9ZT1u#@J6Pj z9EyT)xK)q6r=D$OGnvsGv*Qi>*`(U=bXf4A)NGh@Y{y949xxjQzmHENtnWQOTUv3) zxdIYrhIQ6hJ-$%6@0eqi@#)L3Myz&8)}KqnAM%nm8M2vb$Y!QWagSHl?s?>0H}u0U!1!R-19{WC7(2 z=VKg1N+=!v>K2XV&und2P2O~L6;V1wUwNA*C`D~zB(Kib@~(ZUsBogV$S58cwu@XC z23vLiA4M=%_Ye`BpoCw#=qBJQV-Q%BtlGIaRuf7U;U-< zzp1|{@{0bl5&dN=#F0PkN7pz+e|e%$kN&cra6*3>Z;U!y`n(J*vw}!g1AQGvrbVkEOeKmNpY3 z%8N|EOf+X6qP&Ps^FLO9sXe*lnz#}%jeu&I*`#=L{@bcVCh!>J--ps@6Mto8rX;By z#RD~BCsY$twx|);+EZ;vjI&KWVu#WrlswM$8PaYg@x)y&9R&bmn{ z6KgmIVwAndeTJpOEdSs>E6nk5J#a=c-lGG^wY{ zD627R`VBu;P04CRm|#)v z29DqMwb>fBYYp#E#_St!N$y-+?6t=EL?Iy0V$qS|SvrZg9(%6gxa$nH`bf>U1<$6U zU+`*aGj?63KN+R}X5}H-#0aPKm{q;>7;kBA_sCRR?SpEfp>1b~vJ#)W8!on#6;U40 zR76KnlRTP==qRFV96?9f#5s=*N>35lfTGRO8Zn5QDhdZWG107zrI@x0uQ7W6$&6pN zW|oT{;5FX%aFnBFW2x zB|A~PV__)IkN}9Vlw!5+FW4A-wW4%u?YBC=?=4+hGdfX~ZXB#MGNr0v95VGqGWS;% ztgk3o?TJiEfjE8ju$lCsAfvbGsa-Snlf1I32tRiV8tM|gVm-j!M)20V@GgzSz&Al?oX|7 zR9eJ2&{t}Q@NeGOM8&@952Qk=fTOo4>Y_E?&EJT>|gr)-7L;)dqC`ZcAZn|8dby3cVTyH}8;n;kFdNv*Mw_zA|S zQ+<(%qLPf{u(Fs`e9EL^+6*RGD;&Mr0|9)jHIPBlSF#vb4UZ47W<+q;FuG-@}&yhYa5rq84+k%g`U@bPwUvunqd?e>>y;}O1 zRY z6Z*fM-(%Uy{QjHckH+s;9#H%~ouB^~`F*hPflGEg<=hmay>p+%>PD^$KM>vM@GMJ~ z?AIq`3zD4;gRNCYPL6K8>MPhH64Do`Jc4kq7r`a+9g}ky8KLBRio7G=aWf)-e3#Xr zuSdQk4Y$tgk?y`~w(l~fI;3Gc<_p=!K^ndiTLrvfm0>xEZ%X%%LuKj1kZD@|edq)U zgxT;Oz{(m^!%|W`OU$kFFs2ydP1yoalAyk&6aIE-C z2gu00=}0k?htmAipe9Y=5Q9l}rc=y9`ux>y62%g!HQX*(%Nb5j>7H7b9PiadN=}j) zVyf(?h!F#)iq~rX={ICgcO}}c9SfW40&l@<6>P6ltC6p?9b3F9^cVXGnWtfMnWSt) zV)uN#^AQo@kC+D9$XrZT)_oUjzWIO!2nR$zuq3auRzXn-ld598-=QACMuBX<(M8vm#A^V#21{46H=WPbLXs`&W>QokNQ zw|%Pk`ODAZ{Ja}Z`p@|}3?ddk7aq>fH;@X`)+wevjHRp0RME?i#L}mm$>O|m3@knS z8)E6EQ%shQx8|5xTIsV{cTpUErnKT`9e%!;21I}IqT=UTdf`a?e7@pm!|@>L*#Eqx z&GY<>uL7W<>(sF|>oeLzHEoO&{51V-GEO#9rlSP7M%J}>sU*0>(gX6?#@i6YJj0K5gw+ykMfH3PLJqvL}$0&cL%+cK}r$ja&kd5Nr5 z73Atngt+6c3Q%TPM|OG(R{5&i0h3Z})#>>ACsJqgyg_80O;&F~iw|G9v~^_gwq>lQ za;D&Zb5AjxzsDaV(E`b2*b(`7af-|qc&V#7QhA6!l;N034VX1c+ZDOK_^z}o^FC_u z8>=7}-Jr-N-LOf>)laprIJvT=aca@i=EhLVY9voKkUhY4L9b=NEokTJ3cxG?OoCi5 zaHEakkh7fRWQ%=APEsp8OUx~H`oW~uTtN>?`K$dYgDV==)s{h*IYiRMVGk9gt<$T; z^{36EV5##yK+ijYB+mOw>FV`8)H|FWqR%p4#P3JwwTQ#{FBf1wW4G5RI~zPXx?EMg zQ|)M&9OE;-@P)px*W8@w2fx~b-leyEC<`GmzCKNFU@^~Rm!&*Y?WfAx$7hV~s$$C+ zbNf2BF4#*QyVVM_m>Ij%3bThgHY#D+KMthozS0=p zZAxH&+RK&I-Vuz8%wdqI4rEW)*_G7AjD|*$T8sixLg|?EyB~}0nfn0s=*s;2W58kT zIo%%_H`s5yUKJUiDQhj+H4;jj?qZ4g(#LWOa=6&y%BD8xp|f}Gk@cp8S#Nr}tT5|M zkE}N(-rTQ--aBeX$TUA)rukV%SP|)L2)!-nXeZTCyUkZ^|E0jt!k$=OlzbCKa z*HiAn8$|JIcQ1a8`5@w9{Q9xQuRH(O@$1fGD(_c4Uj+XA0S%p4-IoicJ3vRU#K0lx} zenu6&`Fz(E@cG+B(+PgygvwsU6&^m%IE2sN7aV)>`OdH4b9};t&8rM=yRi8M6plGZ z?NV(1uMgvF9uj8yDmFLQ3;#p;`=|R9e?J1flK5MXE?<5)fA6O0N8@kvzM6ztjgAPB z8xHqXcl(X~ra?_HxIc2|m!^QIg>pvLJ-B!HA~&Zcct#|%u(^m~Mrd1{)v=EZOCF!P z$cz6#KA+rqj*Q$ABg+m72o&3MkkW&>a|BWnd-%Lxz& z)!SHcdRB^1jcc>R+pN{u%LoyKYPB5~2PITT9wt=Z1vK}1bSQ2+yED#h_n6!^vMO?M znn+U-t|D3EQuUjbr<2TO6YD7?YYmb$VP-Ux(jrAosEG+aSC>{x|d61Ne{pxA^TKzVr!xn*fw#e(T2xhQs(xp>NTl-1iuBmd+F6#jklx_()j#fI7c6f7he*BYN+qH_2-r zbXX)Yk*v?eOx5bRkG_<@R>vGVM*gA&ICIPKy0GIe64@BNo)ne>c!`QC#r=(#eS}9vOWB#kqNr1B%*W$H(>bc)_X#9tvWp7|j6a)$&o+TvZBUytP)p`M7STAy(vgbC*JtQ6wtYhoq@Ov<0{R9Mb zty}p~5N9Ze_<3-%(HC<`<7y{-2J2x3)^; z;SW?@-!qf0G?VI7(iTYym0it?An-$e17{H7lZe2ngsxPfTtXEpG?36(73xdF0(Pzx zyO@ToV?Avh$@xfb8*O#`l^FSJLR8s0&ty_u4gzvW=VY3-?rt&(@u?@;_=H7Ud6_tb zGW}F9lPtfSa5+tfRU;4Q$=LB3mof9-j#J$~ty{C)7s{<{^LI6~yUEB3ZUeSCvYu5j z+vMt$E(ubj3#Z#AoPmV67lMV{pBM?(5y4gq`!(2Z?^ACBJaug8JgN=wEh73^ZGh)d z-kW)UmiKnvn`O&~_jca9c$aXOE=SIuHd5i{=gaL&*?MKHcsOuC)pn`XaT8-vt$^a= zAyGdla8+2OuBU#tRljc4@3!jKt@_McDq0` zo7h57cJc1!y^!}wyt{dyt}S-YCQja`FYwG3pY#qcsZ#)@37pD|IDZMe=oY!V&J0Vg z)x3tv3h}i!O_jBCN!&lwx=Y}XL#@o+`ap_LG?W> zFACM@@C24m^kDfs+O?5&GN5CvRcU)m_tiFm-mk2Re=fRr#Cf0f`eT*(Q-qsw5DYG^ zGWI6UgQ|Yvx`p;G%e*?(m`g5%chnV%>ZN2tWnFI0q zryN%QT~dFjrqA%S9s>LeOPxu8f&>D8gtx73TFkD!k>yH4;CWj7uuMdB;zOkJdaH#% zSY`eM_xB_MB*q8r2aMETXw@$SxF%8mlZ)d77}it&SqkK%fQ%DB>K|&=KiI7QDy#m! zD)a3}t^Y2oehiff2Kd*@iS{Szm-fWlzgM;Ykoq5%8AjSqD(J-P539_duo#g`1x#)= zWftsE2?KNk2LhyH`V$1wg#a@W2t4t(I03p80l0r)Lv*x)`DJoR0yDo^4*#Jzef9<-BBg)>eObcDv#D35zphYeBC3 z$^rNe#LYX9(_h`p_D>pjY>BEH{p|!%C>|%F2xDbdt8`qml_%Pu63+vIO8iT[V+ zWbVSR^xcxO?~%!Ce5^HIg6yY>Bg!6xCn9&I$+n!^8@V!F++YhmD<7o<>7(DmCMMVX zPEF$XTd6?#)TH4;yhi)c4n!(b=!t5z>KM<@SR;_mJ=B?f8rDJ4byRvDY+>IsmRs4< zv%Q*c<56Qi~+av(ft9 zs^!0elP;Gz7>;YG6_alv!6yisz30)cn4HH+f%RZ}i9Zhu?=-nG(2k{hJsGc}TCol5 z;l{j&Xs>SAQ$%k#u4I;7u1a&ecnj|FmTu7Q{k5c%RzZ`eXWV`c#rH^Y9Ga!5zxp++ z_TfT>R(l(fq&i+C(}e2GMUr3K`8f@d(RmARPm!SIzX)d2dC1WwBP}C=~4rDEbcC7vdrX2a-#2wux7H&MN*7$XV6VU{dcMh4qV2EzdH z6G9H|GgEWmya73z4RZi`VlVpUw>}D1xVhurzSiz79kH!1G+o#!*K^AuN!ikM%LUF; z<+|oceuJw(Kk?XF2go1`h*WjiVL;BXfas)tNZ3SVGAld7QPu-w3rUsL{skDx948zGWEVt}*32UH z@gyLUyIbCAjxW?AwCCYPZqV3?8d zJXJx?8xyJ(!#yPB!a2>pSc^aHRe;w1#cyQYO)PAGyUOdF!4KT3q^@g}$aCqcztM4+ z6j(n3bvHHWk*Dj3V<7@s2H!`zLKV-7)HGlezH<>~yxx5eKVoGy? zV;KQN`gBH;H*c0NGB$fDDmo`b#zwIX4kjXl@J^=YKd@oTE3@dA#B7c3x)REB0n8-8 z9S>5-b08!Q_s|;MoMqh?UgWumdX<-F_6su8`NgfmkIa~AjA+4^L@XhN#%>0FcA96o z>}@k^tm1V*Dx!TMn~pv9Dm-k&WL#WT@J3a^Dt~xP9`21WdempsWZ8rl7J{1Kb4u#H z+;}kVfXt3=9|{Jwu)npJV^viJdt%LAV`oGZIvMft<5lnv0xmnVua^HNIII_G=RX7a zmpyra9JI+s4k6dp^9(R2t1Gsu=pjT;Tczdy-IRI*I6PObT{5k&{0x|OhByQI2dJG? zZwfDJn&jw?Hf^<8Q@aU;B$)wab{U{fiu&;mAfszvK?257KMdmfo#)UqZ>oj?M6PXN7ou3B#N%@#FthMzO53| zyN~9MJvsZXnTEt(>A8IB*D$<>lv zy;cTI8e0u|#stwIW&5t>9lM`xePfe|9anTccPiq`6uAsvCicJ|0ra^h=;)tF(yK@3 z31TZ{vF|JWv}TOQ*wM3}Lxsc43cq6(k`A7hrfQRWNw-C>7a$SrJ_Vl!Hv?@;3PKb( zqkOQUC3qF6MIW(?=Z_ z@XA8jZM+4CtG7)&49B~BxOL9k? z>K++E`bY@8&$WtZXlZYij?ks@UwC3`P|{G;TC=^Sr?`pJ7XAZ4qv+|4%-jdWHBa&jE}AI&^uq`f&Dmuti9uWqJIlmR2O@nz*w^buqvN5OLagi zN%8jok}%j#R@efB_74+4N%W6$%c5M`@uI6V*G=WMKMs|ZT1aS(vJt%eQE8N=zuYPi z!6&~rKF1#cpJ!x6YdFqL!l%E9&%0tt6(C2zXR3+M{1>Ix(%e7e?OuD2NBjw;OJ1Dh zEgk)P;Y^Mz4J5(Ia;3?$G7`8>q)}WjvHR$e5xcH8mpd#1p6O{m59=5Xm}gWL!!c_WIm~&cP&L1UiaYNR zw6aEZ$$rCwGk6I*M(*Z^wRpcK98GN^`pBajz5kPnieWoXTA?vEmMe97RW7i0VQsbnUGca9UEO%VYSxyKP1tl)@VGXhr z>hb-k??}A7>yZc4y)~SX>?Tvp>5iwwoK7n^HRkL`&@i*a!LeSF{UGz=Gt{k2#Z*_V z1h6>_rW3<=4zxQF4$nJW{P20Ll6kS%Og6x9BQDy`#%6z_<-1k`9FvIRYdHES=qIf?`<&{qd2F=ocnOwIEw+s*)#@K1IOek8i9X|1k(={5+T75rh@<(sI_gM8hz4gWe52JR z+(JCCv{ zBWJr_xQ5gYnR#N4m&nl}E{35maj-V4dc41Y>AW-aWm=F6CO1XTv)~420P_)nS(ReJ z^qVjpk;|{{92axUC$aM!t+P+e zQAMKhnM{oHDI5vi!f+0C_q|gj#D@^rnHQuV<-X!ZCHpE+;u&79iAMdJ*>4~p8u3`} z9OPA7)X{)+wwW<{I|*>ZX>@qZ`Sz7PDKTfedV?uq&KC(X^BbReLI-Eeb-^*!;xm-Q zF$b>TT}Zr#FHEUP9}a2SPj8605w?+OQP>DqyLqV~f;f?JBI4v3_O4});Z+?nn`TZj ziQNFk+eH`Z#x4v5b7Y}D9gNFAmqGKcI*8&8Uo)8Jah|7mp5=Lt$HkM+!`CIRX^J_U zK`~U;mvRn|@siQ5{ff&^_cDG$-81HKAm*ZF9vYMybKXKmqy4&yWpe+eTu~a%%A-_h z|BQKapmiqUCEQB@!75ZvDSssi0&59-za$J#B#a|rizEPxgn@~K5hN^^1cWFF`!APD z1yl|R&q@M=goJlg0&}?;tN0GH8cO#j^elcBZlyBdu?Gsa;2}!2V zo~LAE`l82U&gyCL?s60TY|$2JtYRjQsN@&*+tlZ8Khu;gqa^5UeNZm3||yi0RG z!i`;9$Twk71K}FHdqQjGTqZNPTc)#%JX4yQxDO$^aXfrguoFm)O@z!zZ4oI(*7Ja1 z*u`2rD*+Re5AyCp&5u6$lJK8nax3|jibqHARZE5mOU1L^7e0MBZzmwsuDtqX^O0Xs z*Pi7!=6vWGhJh&{laZhj~YwGGG z+W<}^i|yv`M?c^g+;|wl?khoF{f{;B0(T+tyEoaD$=d3LM>Fex-qDJdmCc4 zNRrWKfdiVsEf5V;!`v%GhTKeP;idJLNT3~BI>do|bY1Cpf`h~z93LYzKFNcN((lNH z*H-l^7VhD1%gSu6eXxyBl#19&+twtt7OYC^ZivnMm6*xsy6}i6TTqfd)atJm@n)1g z`(lc%?p!9`3*=oWueaiVF6cJbjbS+MEfdYVrf_Mgbb@4n|EHL(JWstBw5Tj|ONVZ_o`)DcMK}itJttHL7vGa8864 zUPJjvnL3u8bK+tPTJa+_X$9eom~)sAie8W`eAiFCDHOAXHX~Lv%hdHED7B#|cHBa{ zD)7Vz9n943xr~ab@z=pvtlVh)>!%n3^|TGKcPu7Kl8+WY4Jo`$mhnE(sCLPP2{gmjA6iKVz8c)_+{^^L` zPZkzg=J+ujepyU~Gt){x(iZ+)^=8?U)hS{h(PW8T3~6G{){Dr*I!^4+%QS>IxAYT zEGH}mh1QIiH!Y)d^Z?N(8_hmiL(e$4&#rTXr%5z3UO(sbW#_j&O%F&zBf0O(s}}A0 zF5X{`=(f{Dw`-QGY!}{5emdO~sf%k$C0+wf2EF0F=dgcPH^W|CHz-D%VAQV`9Z5Gh zc@G~=XWBK{Y)U=wWj0<+&UjMPLo9H*>BgAzsf&A3V$Mg@n_|BE33@_b&XA87JI?xt z2!g$(lR(3EOOZ1rxL2FF(_^gB4R(VmEehO+F0#*G zBa;UT92a?AA$!y-)vChzIJO@3p`OOPI+%zfV4N^&j_$i#=xD|vPZVE`&Ov%~R53=e zao!Bu{TI*EJkRsA@U-*n;1S*Y6P_=5e$Ml)Mw{(BJaLr~O))=u-UwM6EMF!X9%}}ks@61TEUvd$o;E`2jmi3l*_9v9#~PoB`_FoS2pW6jBy3Cw8b7iBHR*NC2J^u zBtMCt9NM{~ZXb*N6@87(UTs`6u^gvUk=l8y zIMEl>*tV=F9ui!=QdG#!TB&ddUbY@FIp9>WcoOwBbBhTH!4H_IzQmYVRs9Ng#{1J= ziQCJlAt$wdi&p<6K)lBKx(_T{L*4!%+KOziv5MN)sn|9w5X54DX!Dk?3(gg(&K$IS zrD&>5&Py0`(Hg?CL<&~3x&Ih3aQLzh;L=vFVV^IGWwESGBBSObz;78V{B_s2M1Lw) zt0qw=T%yyP7w6`$j`fi@lFcYdR+MkLU&$}YmWY!+OZHz@A0>5c`3p$!ZBo27ZU-Mw zjf`GQoXP)wW4oVQJ^Te*&3EWg9y?E4;T;$=+J;|+6~@?%HD=5ZkI{lHh8|Gn7}F5b zQo1U5{MfoN18u=Rp1SYb0@avgI+r1&l(j|lmtWKU(R=2_Vr83OMNNz^z$alXIzr>;X~&!WzzYK_QdFwIJTRxGaS?!G@N zGUfgrS%KYf;Z0m!81vMX*aCC4#c4(B>YD@ENCPZ_-XS6m5C&a-uEUC(0jI!!1Gsob zjDMH`-`T+cG|hl*Y78p5pvGWxXy z>|x256swHJgR{y}Ij{k)6+|1ZMK-EI)Nw!gX~db&Sd9oo5ofzt$rQzAE)v*U{f|^n z9s~ZwcAR}CtF5xTJ(vYd1S=9z9WTt_1_Zc}_1%%jSj2GSf*1=WBa# z{xgNa`ERJF7S8{U*!A!f+Jj~Pu7uv~x54DM1rl)Q#ZHfjt53jOpVXLt#S4ku;{CV%YQ=S%_x`Q(cj}V zMaNYjAT)lc7mejU6O%c{Dg?8hcwUIM%m*Q-tb?X4ca&n2&f1O&EN{1E35|X)bj+pz zFIf-COPX2wMpb$trHwWWoBd2`M8TrzOxUKhO{;1NJC>pkcL-{W1|h}X;(71^E}X;k znufQ=B%Zr@p5ysFlJHs{(dR;CyP5yf4prn3Ho2cImJZw?0^hAvx#)&F6Z0KP^k}GV zG&4Dg5DgsjeD|IB{KR|*WVOn&!@m1fI!D@boOo&qwb-H^h8?EG1l`#Nq!Dp<( z9m%v$9BKZ}Ow?B)KERHdYTYnqB`xev3yEua-|i3Rq{lT?#+K4lg?|oHRbRS-$*dX& zsBQkV?PF0@`=hG*zJ{uri+EI%6w0vUjdxNw29=&KqrXFL7cW{Tsw+z1YWW_LXs=pa zdqu-VdF@19o}_TtTvf0ca9E(s1JCKPh#Gt$s9x+_t~MLLVBhR#?lN zp~5^qV}tPHk@%+u>!e=&hOc0oFKxRlb>JVZe*M?%uwRg0I;?nD@C67t9wcO}6tJ>4 zb!#uSe}|riuSqqU7tZd(yS2tg6fz0vYUpiNPidhulo~bq7tk`%XHVlP0N~yz=#W$`$>&CFDe%@Sc2t1hPyZ)2NN=z(`UJaWcYU!6HKp!dnnqn7C=ZrG1`jN>5S-UL!ss9=bl8i9Za2@Uew&-6H_l1`8vsCA(xglLV1Z2l|y83-CZz{jho47NI%Z%TX1=NQo^)P-^8U7bJez`6% z`q^YFUTN>iSjA=GxdJ<_So9p3Yk_w^v~j9quRomECI(bJ^bu~jlhvxkY?bU}xx~gNU4|iPD%NJ%nU$V28-rO;x*5gz z)5nA*;TytT5^gnj0OZEQ@QD47vqd*zC-LDC{~$bb5jGBY@o@YN_>QAWY*mRb6OK-r z!zs)Ws|f1GR;@v7u_Ys(=Qa2POelS!Zx8duhVU#VyGb}pZ3*yF&PQ{b1G!K|`a?HZ4a;X~#8MsH z-RTgQs_z4Y?CS!K=oj%?)!RqvjZK#?&!NtS4+9i*q-?`H9KO+>!TDoH)6d~lF`b$t z#2h$sgR<#B)2Mdc#S;3@{y;F@rLIUiKxTR7s-D0e{3|l`j99PnjvBIRuoi7GM{YDY zSS-3_2O+E{6pO399oK^hD~rxY0KovBt@`h&ygB?9eJH+EYDmM_f~jn-34?o$&y<>UaDZ>|5d`d?7y*w=u!SPO2Hf#n#W z=iH9$DG_8CFGE=Fnd7BgnUm%tL*wQow)GO$wmND&%J{!2F=cBMryx>iUiK2bta88$*V9V53}e(Bnbejqx3jr1W#?rD7M&6B|wXKL=( zjV@2<3r63yLSEDR@X6Q6%xA%FY#XjM+@|8kEEe^hzD%vHL^bxYHmrzDIjHF0BV6jG zc}eo6%19~NvItepp4}s0x;R^d4<^U3@rZWJ8%VV>QW?Ajzmu+2TOEw%@Q8DN&wJQ0 zRHDr>9Ud`=m+*)olF~DbkK;8w!lsh?5RQh?&`L%ekb*Ldo4~4ML>I4G!&8LSQ2wss zr}$7lm3_3Hp*(~)YbZZcDnP#GP@c%(P4L^H20^F5qs2n?4l4ay0@oqs1j zlDSy?NW(X_=|sIuls6n`D`YA)O(>3~k_&$YH_6YK$?3yMzE7+OB0V}55Q=N;V(+$8 zb?ft)g`u+JA#R$S+;nM;>t%vAM&}?l*{EQLg0?+Nd>fCXv41cL9IVX=_{uHD za+9CbP6ZYXL+Saj)HLhb7k9Bk!ot{;A+`83ou?Q47=8 zW-dzTv*Q79?AT}x+)2{29$iVNnQlA&NZBQSKya^+r6?ob!*wX-EqpGC)!WAC=~!`1 zQFopabq^xrnDx{ z?o_KNOix{=ex&vbl^geulVITLE-Nu)ZZ7Du&6yo^Te?yO?o4bo#-Kkb3|V+-Ps1!6T#umt`; zz$V^S6HoMpOf}h{KHLX2WvxG5)?TyZpsDPKsVmjh4I|jMibG`s(B$o+pOaRsb}4a} z4dAH6?j%--vJ(Ui4#bFvh<40ilVZEcMsCGMS0c9KY;?Nfpw_S6pDK#ams^ZaXywZP zGU>*r+t-Yin()+xDT)WzW}6F<2Wf@JxHY453+9Bo$j#Wdj0tM|D`P?(J#j>P!el=% zm2~p;Y@Ob5?1L>>sq6@Boq}tcg{wQ}>^{rvW2INpBW|5z*yb!;wTUXNUM)6zb#q5M z_#I`{t2SN5ZuKl8&acD+t6uC|3Hc!M=4+sQwV*8fJS)I?;%`m*g0o%W97s3y6pyf< z8&>@3MhoBS$ti>Je|9%)sl~$Ph)BG7J*za%yytYlD7MYuEz>ZhI7E0whDV&i5_cHD zU)-wmXY@{ckNs3Rjb9&E|CYVAQYd~Bm z{{a0pRQACyabc~w1%cpHE!`A-Yr54^Ep!1{lr*?X`pVp`*6PO)nYQmWY)&=6wDP zX+*oMz%nA`*K{m1h48Ziphw9U+=E?wb>bzaLHxVe=PiV;u=u?{5haS|#1t=o1aff65>`Jr-`z%{ z$Jkp@T%y&tkODLNj7>*d0LAsG1V4*B_*#38(@l1!zTnb^*qj+!y{tDvAE#*b&!J1G zfOv?jfOyT}{1dz$=`lc7e36TaW6o1)mu^(xp4H|pF0RGJxoq;f6q}OKogP^5Qx1)+ z|c~KO{%OBhN?ofS4c)f~oXD&!dfN7wbN2{|OK{B~Z@6a1D05!#M`K1bA7-4V_~A(S{n)HaYy2xaqDR0_{Eh`bIxod#;dgNYzgh~#@ly@u?X@0-k^e}e_38~)Uk#1- z)i|?E?OPqUQAlWkL0J0A2cptfroD=xi@TS7;IWL~Rl(`>*Aei0W3`1}`VsK!+k>C< z)ljRi{$Q2?Ke?GMj$cn-EhCn`s>b+`BySS^)ql9zU!~NjS64}Yu`fiMl?@lZD9z18 zyP~g#rqrzKxEW|N<5~OPs1k=cGP;npAN~vg$l6z@#%1j}O4gQ1A6v3^c#@1g%KSe# zG5?De=~7A$b3nc_bzyVnV5jiaR#4sm84!DF6{R)2q9ktC&4LCB415_HCKzFYQvMk$ zNw?eyw7dVpOQ`G=X-n-q+(g}!!s^NCFJ|3AJ~7}Pas80zrZLr9)J{~prH}`{uIV7L zpM5sx&W?|MN84=i3N;XDSh82XAxp#^lfB``^SB*DE}4yaf$v)=zFUv@-@~k zxV4CR2r;1;uSvF^8pV5pJ4Df<(i}Ia|8jOT%`rv(ukHMy$M9vSGve1XFEc(QTKP6! zwmOmYCzUizC8arX`4wd?DZ@u9L#CBME{{ude7+){?T~fKhh%O-%wiU`RyT$JA7$?X z-(-aMy9sL)bq3&_>wCW_!~gVnW)O7WKe_sk?siu!-wAD<7+Gc#w-oS8Xu z=FH5QGqR>B(>O)`utLP1vXgxQCkQnRVlmQXcWZ2Y@-|H!wd1yoT$uTPxlaT4NsfV^ zrfvl*etkD%x4d#*=SUEvV| z+1#CTjxbt1OA&RQ=3=={Q>d@g{3{8Ak;pYbafg7bG(J4U@VpBbN4QhNJ1KIlCXoBq zDrqENNlWfAZqz)g)_vmoOPM?#ce1{r_1|d;A??TcRqA~aWuxS~7MX!5iPNaPT-G3M zp{mct$iQK;TclRC0V{jzP<%_YRgYE^OklONt(;5Z|EkUJX$%iu%WVbmbAcb3&v8R> zVb|(kc;2ZV=C_)xU5sb$D#+{H1HrnAg^tz^JO^sGYc;=2*05}7b0bcAo-M%C#?++7 zm5i9I)_uATO1=#M%bXXaPc~L}Nw`)@_rzS^Um`z_@&5q5>sg758rKLE^MoAt;f)P( zf8aIH)$p#Q5quHBTSCV5I^+4kCR{Uh#y%vfT)P2hV#`yAlwp^<*|A+8b4;VQ0V}U-K%d))-Tn}{ zjg?8RqF>iF2tqpO0&-E0kZgpl7W|+v6Rr}STA)+0GggLCJP*Lr0JcExCIt#2K(hc< zmvTmX2CXOFTp|~8wAGOerN46yU^)IuiZG5lYTV2U3p4xYjr#@qdB=VHG#t!nIFu7L zMv*qKKI*WR0nU!+gvON#>00%f9v`gVBcF_pcwZr_bni6jUUU9^gjl)zOTBjq>Lqs( zwjAg3?Td}Il{!x2ONQ2Lv%=v}-@?wagQdiOY+SYwd?x!Vz}qnptZGZRoEgD*!j(-h zP{l3uug&@ErM={8+^c*D^S;QhWvp41ym_mn48zVVZUHH#h)X!un*%q-!w?p#GNJ(D z%iP9Pbk*}oj!d|orv&b+lEz|WZ*3#p&E9%rIFMc+b;1WAHWnyQg7T6y%EWUWC?|qa zRyM_?)~-`>sM#1rK(b=|zxFFWJ%vqn<<+AHi8SE^N5WU(5N2+J)wY} z%K$p>$3Sxdq6{Y~f@+##cwNYiBq@bVNJ_KM@$-{7g6;H%laKk228s3k_baR-csImq z4^?gSTOYIaGotFY7!Ou`7Ov)^-HcyX#HQMVFz@Gc|Z*)j7PYeO%v z)ZNoH(GqF-AyIGbD%qY~k42htcn|Ox+XIi3tQ)vyV@Y^g1IIdD#jd zYj_m0@oaCL!?L^wf{A*3#@)M&o7KK{b@{rotc_JdSsO9I@67Ssysiw01GqptG1(eK z))CxIcLr^c16c})y|#QVKt}3|DoUDbo>MesLzAj6z_#D(%(guM+T=MHKx#ia{Elkf zZJxvCVhp9_GN^ekH{Nixc)7jYY7WJEJjWx){|R~;rGdB1ypxM5c>5S@4|>+!WrRGN zW=;-z-juXmu<)*V?^vC7|q;IJc7eBc_F%t7rUfm>%TCs^XKfPW%w(Jfw*ec$pMKA zsHn0}l5oz00_Qxa;E1I8CkG@hprV9}G`_gP7gumZDmaM?sHn0pQ*hGbR9L|gso*3o z&{k2h&0H`_rbo}_xfdZewn|Sfk#U+LMwr9z6z<4dBEwl{*DOP>+O0|q;D!koXAhwM z_*pe$05F7I8b;Xv5TlJR*p&|O+P1k^c3kBub!<2f8GS5l%I1z7oZewv2{a02piNrt zi1`uKoYW$OZkN=7$<)2+6o#23bBpc{R{_bS>`XdmloV%KoD|15XknyK?@8jwuq+-d z*;BJrs{Bh}^0o=`-5MrUV%|3DD%Cp>@xDir&0MemDouCKhD$}+RnkIcS0yd}%100; zPDzUjhN4J}6Dm9nW`uj4SwA5)Dy(KW&Dt8`s(T4e3x^k`=Tngth>u{T-j0LGY-B|N zkEc#-F~_jV;3We@2hs5J#O>yoH_dz{KhgjaED{K0Nh(v3h!g0keLPgPF63!6m%apD zuskFLOX`IL&GO;9b?+dlw~vU~7zQ8bs*XzV8o6zm8t*il-wqEv|jpv|f?l}}piOm#@_yF1_2(xtdEI=V? zPtCt0-q9%Qxi$UihEmtAzhgvP9Ego#c=9NL-p|L6_lXD~{R+It^$%cbTa&$}4kbj! z&z1Ve@(?zcBW#NIF@A$( zQ_b-$ME_m*5q4DpxJfam3T&6aK}nI1c!j5(_YQd0QKZk4x+@Sp9df6dC?(uQ?l8fO zbtZ*7az})F!6qf#^X7@%p{<6>pmEAm>=aRdMA)3z5e$v-8wmyEN%o;qyh>yE^YD5q z?Mv~^S+iP3#2HAmB_!J5$TFLNGY|yZcQP72lC|PAS#?bpeQdVq!RmyCJJXp8P1)7T zljllREu%{fQ@yqqTuuxcag*@|hnYF7y+cuN6{;pHu)U8nNk_fMo>D(AkWOgx6G)Ur z-nIM?+VUiZU1j%4w>ef36~B;gmhM2TCh3Sd*JwiP!WHNovJ?9f$V|84E#+tIMsEK6 zk+MMahUjM2o02uEY-c6w9@3hPCrJ`{6e?*X(y>tRMZNnaL$k4*A2E_4<^ev*{1=_D zmY;*awUPg6zMLm2kga?Ixm1_gqC-3M&pQ3HS^o^tAQk%OQvEYo|Fi?bdqKQ6B)uyK zRJ=Fj8sU~2usS&A;v;H2NQLF3GU=RdDz~G>3_1?6xEgpnB0?*@pTAm`-K*qoFn)y! zR8DjL^=b-iS$#}Zurw6C+s=Oq4VLlCQvr7$x#Gof9GI z;`nJVr-~_w-_AY@uC{*3D)@euRuBgpjE1;YE?nf2?MoEWSHGe_|6p$xd|&MciMg~+ z>3EK>iAio!oGk5tAH>t;$FYk}PPn=fhj-XjxW<+)r#&~2!SwG_IEE0*#CzZw#rcgF z%a7x2)El!m+YJncI*ICy>Q1~(edCpm_?7A#hX&M^q+3*QzIyV2)W1rQM=IRN21o2d z3E*L)rjVpFRgz(+sgP`rLVjD%ApT+<-v%XQGNuhw=|($Y%W>n$sdheWFPv1jNm{9DmM1N!pQ0 zI>?Qg_NOUgwJM?1_>4gK8aa>X*x%*0*fHSQK?~&<)to4e_m5=${2~(HP9+xV#K%&J zg)-+ijP@9hN(n1rD|koxrn;Y;gcPlENc*^MJV~T0-p`Ae5ahIBiIiXVTDf@`f?!mC&KQDqi;*>7@0e#$rG_Oe`vII*bq(=FJA0 zrF-~nl*Z)xaR?sHf_AaJ`(OnxBeU3djUsdFhiYY9>fK4Kx%d+D%SDjAP%Xyf2l-vI zoIlD<6TcnjkH+Vep`5}5s&4CI3sqHjv12!8LJwQEQ~l8a(b+h%a(oO}z$!S5slJ`y zehEfxhm-DP9!kPrB*62Uq@<`@oY*^F0C0p=@Od)d;}VS8KKFQg3!zKqz&WjVQHlFW z&^{=zMVV?DT}Wn8kALl8(BjZh>oaVEohlNcq=SAWT-0_d{vCw^%QZ~s(m*xuSw=k; znc6Xpr>&OjkDKtrcA}b$PFH}*7Gn8*5R#Q66@KxmdM>07e+*oDk5uZ1=o&-}iQRa! z48*iCW$C#^R!obFmrD#L=1*cCC4N*0`X(z!tI0hMW$%)D{}f}H!{t0$XR&U3D}HDQ zvT{3H--8k5`aq~0_3b|)tAInNoz>V_l(9U|K^OX8>`Be}f1}_E>neO!?5tr=CAp6l zNN&E1>0zop6Ag7ky0aOXXo%Ny=qNnMYq}-a%GH5``L_F_ywmZgEpG*WQDI%keY~yl zi-gp@n#S{#8EV4yphFsq8y@Vp90)}5)i>L&H*2hJ%uyUVpyfb_Jj^Bj1kj&GqcthJ zlN-^O|8}4FXXsJ1kXKWunhAYVP9xmdw4fHsK}8vY1_lVMDWW@NH+8hd<2EgFiKaRL+Gl^QeG9c zj=RnzT5l$k4|P+ud;wIkYd^4zC(}8bbW;CR(*5bAXLOR>yHL4irjwTGq!UQueHP*Y zNS0NjlSF^Plaq0II@1JFlHQ@BMnAIhsP!*MF1J1kPqO~QyG;bp$dicr2qMc-4xlVX zqyFA@%Q!09kDfmAbb2pIkKJCx?t{RzF^S40geJfHyDYXNR+FLj2}=4WAC#o`9$wdd z{WNju0$)8r75KKMLXg2r3)2PuQK!F_P9IrXA5K@R3bUsg0_{PlrFtUtO_~wpgTO~TCs~{P!k#uDyFg$z{{WhNi z^yfi7rH#1k{(&gq1WzHjXiV2Q?>#Ng#u-EH3M%j+pQ-{3@$k7F^P`asa7ApclhbPu zL+EP&)_%l0U;Lt-uIiI)Oj!__% z*SWGXsy-><+R;VA#(PqWXqafr*qsDXmka@UPJ^sXf;iDLUKEhrHv>#=prN@_{NjU3 ze9z8NSzL=V!DCe~1NjnPtZsLP-$p1_HSUJl^=9pzVI(M+!XZ$8~7Un~7wRANKL&2f82!0R_2& z=4|e}$`mgBv)`tgMA|z8q~=}lvS9ak?-Rr*jHu{;2Nd1!Fm3tt#k% z9N>>k)<1TQGayGViY-dg<=v{wdq{G}xa^wCy=H-_c?Udlk5rEIHx&6eSA12_!($XZ zNEbax7429Gn37LY8Arl(s!pA)q8)e3k52d@S5bVkPMDTX_)sTYs}shi6W-7X4X<`!hD_ZdOG1zo$!oKcs89dPbWO86aJV^n5Gk=I^n8h!f#-sb5N^=jV97w6Hg2T zJQGhWt3E?+`?0(kSr~5`Dw-*KJiS1{ba;wF0ZC2|k9&hs>>B}dR zZS!7^YMVDjx3?VsQa?!QWa@gI`npbCBR{%HpV0}=>V(_V2@mRo2|D4SWWq#hHHKot zTJ^~ozY|RaPpV>{`jQn3fdz7|A-j5+Lmo;Qbh6OBB}u?}x}1TkoDAJLbGK337lOyD z$uQ^NBjeOERy_)OQT7HV@T)m{jEL0%1NX~#uytp6bQhNEhrJE=xfvhb6!WdjRy2JM z6&YYPZ-eg^@ad7_WA_#-anL1P_o)mr5i}dGkW2odo2rLBlS+J<(v=5_b#l~u7g(a+ za{f+@dhaEJY(D-{ieo=X|Ah6=0{ydpMvW&WolU>)D`hW9 z>%*L3KayT+ONG^f`>ia&Z@fyWY8}qIcYq~lwAXdw8K6rhTIs~)I`M>b;vMP4h)(=6 zjrPiP;#8gZZaVS8bYf5^Zb~PfnojJa6aSe`{N~{fYE2R?$A?5HVyV^dfTP|DB)3H^ zkr*}qPVo4uXvB;mfLa8-YiH-kS5@Te5^3vz{6R&oAkykNE2EgNB_2zHJJPg700MU( zMZmSGcvUL?v?Z}>v&I}X#Qr(qx>6#sa{|(SwoZ|6=*Z!nB45#wLpw$OMMvJ#DN^QK3Ywk~SsmtuFGWZ743dn@r0a?J zj+&;3l8ZBrBbgDG5%F~c6i^8Sv9 z*j;Dx=xq2Jyfy3j3|F+CZQ+a1{8IC~V--cP|BgOa&#MI|IPp<)0!ouVr=8V8w|2`> z2_nCoC;JlXLb+T09@izr)V@^ey+~55J>gN>O%C!#ALr06wH1E1g82AUkmbaWH+mcJXfw*B3T zuzw;aRlJU*&nQB6SE>rS$55at3Il^za9LjxaH}1Ig#xbBPVnL^zT9(;I zSRqC8GsKRFhO$8S64`5aTaM-Y@-AGAAKsk^S%bC#Q*P~HoBl}^hcb0EfZalvVY(q0 zyLMu5M|?!=!g67_)PB*Lp$B1(GJkFho?Pqwx!Xe+NgNJ%zM9)D(D0FQxw&TIMLhym z-#OqO7PEB=Rk?~l?$6yTm$$5=7*GWx-{gb`Rj{uS``r|9Q_2;wJXOjvbIrY6k;5?m z!7@^E+X&ZV^XkuSlX4DKcs9*-Vt5mk7ohMW>n;++G22D_$i<@Bl)O*Xr8!XbIklvE zA(TXJnXzhNV=Y7?NLJuqgHZ@SxINeoX{urtm}Ghygw`8>c>#`3m1aQIn(qmRxcm z6;>;*YGP8~fsAi|#&=o9_mGV5j(Csv9tf!YFI4Phd{lRh|7{n$x4B|mhVU-SFhWgk z>~&U7WWUT}0gn1hov*$|J#?ryL+5?c0uzO-UJ($>3ePg;@dZy{wX~Ekv-k8BX7AY# z`_0~Ei}?>*d;m85j_5x?o|+5HTfZY?4HwO#fFQN8LJ{&s$mk-w>i6LbGzv=a1&wo6?c;u2}Nzec0E9iOKT-uXUw2;+` zURZk)b9DUcZsPdT+4t*026!87Q3GTsw=v`~X3AI8xRD>67T|iChg{61Z$Uo|wQ#=l z`{Lpv72Kfa+k~r#b4=`{vS)T%bBqLaw!rDolUQ;l=X%E=!D`i8kEyIoDq{IK7;HSM zB*<7VwS%PUAr)f3+S8E2HkM>$)VE*@Sy(VSvV{mRBuoDb8QB>ZEE&1Zl3 z{FEM5eeun`Kh+lxk*NBjtLlr^9!cV0^xVe4!+~2`)LS*!*)G-0bL12h0PlB8nAZL5 zWh|DnPT$Jq6y{S8&M*W9K(IV48Okc;+-s|L?I#fvvoMV5cYue+)zj?bj5`$4ac`2C z@6W2_{K_$bC~$ltDa0<$dKlD13?$-+JS-_Q-&O*uH8`sq=LjTWLs?UJQi**e!pwYG z(^}6X^bMqTWc*z^Bkz2_!Ev5E{+_Sjo1QI+?nWZU`Lm|UPm?72v!;Va=#taBS3#GC zAaPpAa$PEkJhFPDQ)>KCjbXaCwsK?Kr~!IpRmf=@SvAHf53b}bI$}=D!|e{&Wo}G%}g+eg~QPmUV+w@@`<~rl#P!G$gaqIcd!@rYS=>G%q82e&poo<;1O_6hcmPAPQ z4O7i4TjYa!@k8~PXN*UH3r1hdS_ITAEP9MZMEFd%JcEm+&^V(lrmLpjKAx}O;HMiT zo8`Bc1*7xr%gBrFpkCmfSHGMPDn#32+HFZL(;kvx0!R=GxA9}f*Z{|GTYb$*@rRHo zB0*j%z(ean@p(*D=gc|!D!yeV)bSj*AQC~ zwdF!&^)EzE30h@E!Dyf;Xte~RWo}Xbq5m+T4+2{5$;&B^LP+^LiDv!O`#PJ)`}7y?l88 z0wg1hw%JA71g#%l7bSAp8WOSWzgtRFFA&Ejoq3#o6$M=+>~?1h8#c9GOdtMU3aav- zR>)mDG<=r|$82?|39wW3I_J!;sG#f0aA(HDt8&C|>x$evI*)9KZ#RX00ZXb55_@UP zj^?Xa?EjA-jWPOfEbfv|l=F|O0vzW6+5p?N}1OnRxvtGnW>=;Y?@obz4d6YWQSb8W!4=K%-tjw$5uA* z3Wr80CQ2Ve=*mTkJP6H^#tOtRFq6vE`Uyk6RWvp3~^%Sx`m1d`RHqwS7J*E1_V>;l>lfWNzpi%`M%nbY~305Frb;*>1E;GAe zF1fwchD|r}yPrs^IV9F}2}Xx>X~k{Aq#aUHK^G-kn;0`aAHPq=lK3nYNzyewa0`5w zV>S6rH=1N9_E@nfsEF^GasJHNTW-3CweV-;O8#8EfJD#q4Su~Vfgfi)ZDwcT7^Y`F5TjxRQAYF+R1$I2 zl^9vzGE<&z6UG@)0=O6~vgg)X|^CRKUE#ajyL49+R>EIfNZ$#Kyn9R7@F| zbB0RjdlYKR5h`Sz4LtP@8V`` zI&IL{uesVJhm#yiFl4oQ37$ra81@v~=p)o!uwe>z!sTF*1*>YR_l`^%o+)J1SuI|EMbo#p# z!ZKe&$2bhK$F=cTd;cTm!oN@t%Me^X&w8I(v7VjjC9;o*DSf?|=Udo=Pio6(Zar$CnZ!mB)0}PsGL|?#yLc&(4E5#MZ}$yii?hrJh>7C z+S7L*3l26}@PkHF0x62;nHq8N0=x3UR1-qD(Vn!;^7MTMX#4@;MgvhbMhUD?aT(vr zHZoj1CE~RJVU{~;E`A!8!-Z*XO?K8zA*;AoB{+SrzRh2XTSeukUT*fA=ysa(Zv`^q zy+-HU7WQ6IRp8dWEdoc*8;rYwmz^lJl@`j89_vR`&>CZBM{P_Nhr$jQ2x{N7`WpNW z+z3PuY2n=elsX>23TbBLeHWMf{f@xkV@_y)fO2QzSx;Av1b0l#0{6=#`-A#gkFG=CTQ3 zjF+fb-df@8gpKFE46&QVUFKTK|6WwHhJPDEBb!{zc1`iKprtbEV}t)ux=C!0%`>aK1gF=6X^xK0IKcM(id5P!UfDxGuu=ulc>sIMnt%%=s0grk5TF_)C<*BXQH;%5S@H$@cjpQ}-wr>ce@_Bbrs3%_ zZws+OYr=q_b?e}uHM2~n>gAa;^Wi_7*74vN@>x7UOn+4i;@Nvkd(IQgZk)sa6W&H} z+hez4ygc2h%qauW*@dw=ymLCeNZx?%Jw49EBcd4H0GoQG?@E!!j+eTtZK}~Lln6e@ zu0*h(t!gQ!)YXeJ!e^?7VrjQCskk!oT*p1tY<6h7kX-u_{ceyVd^hM9(%Ozm0vNT4 zki44DkkzAWg*-0&ii``(aVl|$uF#3eeSzgF+NcDZY;d@JX1{ul@`?2i9+U$x=Y<52 zZ1rRtb0Tt&wJ;Koh48o?YW>_mQOl%3#_qQqzpjNtR*?gmK4L|^7gNQqfWFHmueW@j zjp0juu`9c3xAtj!lyPMDMZ#Gum`)5@!?0MtFvoJ7Ex6cRkJPh@S%-k$Sj&+^{{!a2 zgW$)GQJ-bX)G)%X3#AlR?3IV${(Vx~Rq4_)>O)fAzRW{uH>OM$_3foXl-xI0}Q{`iN<Tb+$}* zgYGe4FyL$KjqfZn5jK2q%11dCV> zUsxdUONe630kF0&l_oVK!kE65!bt3@g?p=0!_@l2$Om)syotOyoUe#|ryMZ7N4dGG z9{++bDzCPi?zc@h&rlUm{&l+*(@48yoUaJ~47H5d(p z?pTUg0pUpo606{OQjZi5O_ZIS&U`cu>W<^1)uwx&lrhsG%p`OzkoS5z3N#llk-B#b zmbASp#rIAZKY^^(auoPIWuT^MKGrnAVkurG)7uJwaXXPsH~3F8qPq2`1CZ0lISWN& zh|_XB^_w4&ys*NW;5OawNe3>tmSvIh8(_NOmB@N$he>l%Uk?`x)7)U!zJU$}s*YjN zY`Q--7d}s~hN{M6L2gWercoT0ROHq(&(^z9-5(&e?viZs8bfngps}(U*K2SN9bPrm zDfjlDqg`%sTnl}&cff0Uw-^;20oUbV48pddss{E>bB!xV3Oo`#+WyF}qv3q}FwdC$ zyy}VfoHf$&=Q~G6{rN0UjC?Zrn*G^%pa!EWoAAg;IKMEf`ut_XO389hZ^-~`z& zQkmXXEkq_VZ0B2NsM)Ro+0A0D>69^Y&|HJc>3Rqlru!@8M#o_Jb7F*R9WzZg-7#)U z>#qVFnQ%nKYRRb`FR@WTT|=SiQ;>2|Ek3BWSC8e13K>SsZhP0tAT9OYGF!@(iEcC}GH#UE=|xIY6bnU}BV~f* zN!dd6vit0~KQ(qUiadOjh9FUa^ihMcVXDT$hkiT{pgL#J(Hlu>SBkVISr?Brx30NbFMnu^`z)qC1 zeF>!qzemayrNu2ZvI2TX0?}dtxd0HYqq)xIvsLcM45iSCtkv^HG*X-U1|gkV)y-!p zCD#P8Suz)_RdT?1MHPBL-X->z-k4ih!yc#c#Vp~qCYd7s&gOc;_2+lcp(Q&@E0@rP zo69fCQ6{XdMCWs-hM0Zv^K7c4EO3S_Tbt|*k4?+JU=P>A`Qg@> z(`e&adT|0ScLTTL@u4FiM%6%lc*q1kj2X z=FX7Akl%(J0t6RXS9a2n3f41SU^!|x!*aTW-Z)`!PxUy+xD>p%@nV>rp2w_ZkI zr>i7t%S3xjH5Mphz6ezvQ|!9Z9AlisFheCnI>1nP+v~U2oL|iVuv{zo5xI>81a4o} z$cUCnd4S(K5S!FBRy)eGJM8mYoBh@vsgJZ3(_aq$!KI%+CdhtOJ8zbpAF!@;2BWro z%XK3-*-Q)N?g`~?_Iuu{Z36UWK(DY0+SNq-Uuy8ZCAKK2VZU;6b{;MVXaqn(u8G5j zjytlTEK)x$Si-HBt+FpbtgSc9nQe{{Wh~2#{1b9S;)yu@^96Uz9L!l_}m=8@0JJ*$ctnX$SradFj`hN0ofgLEF^st zOBiG>WeFGiN^K{Yu}c_k;9Hu+4?W|gytyh|(B5fL)lDKJL)uwX;XJAxu&iXZ%=P6b z;8&#TMb$eJ1e(Kv7iPd0OL5;OC4NP`kJaVj%XQds90lJiG{;e}NFqB?P^-Xn!=&~p zewB*T6ikqyreJ`gKwK(A!A#=Wzg&AE-t>B?c)Q|q*>#(ZR^A?pPAlT}6&o)sTE1dtLrU!eyljQ( z=G7nLU(m?VYYbwuqFAd<>1I5^CK4=x{`WS8GdruU+Lki+tq+KlPXPoy$aL^}VKwzFjKSIxL3c|i zK_~9a!tG9KX)bUvvP%cu06|j2!I+Ar_kkbLMOuADSI*Ma<0@x-g%k? zsIJ0mWmLiO;0@_2-1bvdXdzSSkE*aG-b+_G3u#-KzZbtGQpjq|Z12OA zjv%gQ?&t?9QQcK*BQk7q9y6{%!~iB)NbXHyo?$tzlag4vt~flB zg6QF%5f1#RlJJ4Gd)CNO*Cl|2X9ydNZkMJ-6m{nwa|ymY zu48x5T6(OYY~5u*S5P z5%qhbR3mbb?bK#+Z0eN>9dZ`a%m?Ju0i~v^Wpey3BS*AQ|1sHe%jZWkujQ~SaKi_< z+SCbJL%QJS%AEftye&OP-buK#>2Eyu72;qadIwj-(6__PS90M0-{kDnA}`-AEs~td z!SELUx8w1K!BlcYn15~&1=M^P@eaI{egwsOXt4U`Oo2bt@aa6HWH4a_b$PUpi0u^u zn=zgqR@=$j;-e9=mg5r2W}FCl92Ikc#IX{1Mmjma<_peXyFjsBdO^pIh~>zVoGg10 zg2shFDs^SFXexEoSY8AZU4*H+3oZ_cttTY37d`4Yp0S-ld^7Q^`)`xp zHm;Iln6#^S(@kAyHRt~k!XjQb>Di`xH+8PO$}a462klZ}t(WKK6fj8@EBSvnI{SxRf;A&xtTAm3LiBW=7^G5+P7o~d*3M$%28S)R9k&NzYZI! zLYify6+Tvm{u*B?0{8N0kE~&q?by($El2j6x5Xdgm`Q#^ezDp>_dWbK`~q>r0)5j! z1p{(u>w29}sYp@;arAeZu1#g$$wK|fmgAdWiIx(?nVZs5J~x-hV}hczPJtox9zOf| zXpAyBiqH4VOI6ABddh!g+8)^WJ$MIxny6okKF;#Hh0*X8_7Dlz(>sKX_R0;-8B%sV zi3!(li4Ad6Sk_hF3)jeM{YyUlypI8x-p(m!JEwBhaxkX%|5nlH>=TNlaZvji5*(9l zZ*@k#N#M$peF7b03skL3*dpLd+yXwzjWn|{)*#r#UDZo|tLGt7R#GVAVsH4IpcrtD zw3YU*aVDCgLu~-m1HgWwO>#G2v(;F8NG9$C^nqfCr8e&Y z4`#794WQKgJhIAmFPE|#sBU$EtoN#%rG0)ocSwLWhFGqA7EH8&WA2{SLRGM8Gghpg zP3Gc{2nj!z_KD0jIiH6fs_^;Yt;CBo#&H0+*6CJ@_KEnS*V;x^^;jtPoGjxb8WhA> zdHAC}Rzml6M2xfw_Q|^q(>tA?RgIAK(lw;}t-M9JimNUo>>!LgF&0km$>KK0PQu;l zi#FNJYkO4I{qKE#x@}>bA4yaSHx`_M};FnZ}spRiVXi zzo-vgqF2tA+J@pVhg{&{2Ey&zWDgfFhWJ=YxF!=)2BYF~Rh$;0EzAC- zy6>HFSStD+>l8K&B^eRiqW3=@p#U*H z7X76urMUV}Lx;)duV+vx*lYJB7f0!}Qfir$sqO3jM`y=hFr&rWl39q4?@?MW~;l0$6?!{){<ZXz0L z3W6m}Sx%))jw=(rzM=Kp&T-@$M?R8J`6u~v*guF8e8XRz1d5U;Vp=i)r^M$%2|gsm#H5J#u|!-kBMmFUZaj~q)+<&8s8oD~ zOXlvqYK9Zfjh15;<;C*0*d_ITNsSI;7kx@bY_-Hj<~Z3|8CF<5MW%}hx^3vSnRXoG zTmW>quRiL?)ZcBF$YP0Wk4~BL~u_XExBfeTNumw>swD8ogF%>k2jn2{hc zO~%Ev8e4~w5WM(XpxPDF2Jmi7+4zBLDGK+Nyg}T*4YJ-~% z`(R3=pl0K$kp7C-IOrDRRLCebd_>Z@JDFr^jQ9jnpykcKsVX?W~iNcy3a7){+GZrX=yy zDLjAGcs6tF06jfA(=U=*wQ}rqrJk!#6c5Re; z_1Aa~qHIXL+E~Rzjng$AkH)jOGoJ6!SK>u!JTZmm-y>ALmM8J7PuIlCQ zjOU+%XD^HJWc!pWJpWA=A>?L--~o-`1&ts#iNJ;Ly6b2KI%~Qh`K=&vV15-KGU58J zMJje}644n7Q9vWQMI%}*jD`9mh+bAq<~mmpjYuK-Gm#0`iy%rE4zfnPIiO*{qGD)I zot*VePD)45=CFTl5ln~JTM1ZQxNDEBYK-4pZw1j`QE|F~Xy8sc@#zr(Oi8mWjz`iu%tV9tl+ z?Ij}AI2u63LUER%7jtZrmU2a)BVoLgPWkbCjlPz&-zy4L^}H1N#6-p`ZOOtHP0c#s zk6oJ`jC`9DzBnijP)AJ+$c?K4S!k-}=$L=aHNJx^-MLT3-76pW$y(HHN1R5!IagiM z;|+(2m-LWpSGkSot|QcZOfQ@aD$CKp`b^Dk^k4r}|FuI=+2HD~J*rPq&~(*JEP5=* zZ-MUUs@>d7TSx>XGnU^V5BuXjrF-ZLYC&sfAZ96+5#sYS@%n-oH^#~!K<=l_)A!S8 zMr>UV$_2F(Q|cpE#wHdPF`o|bDdI>^Gvch*c?u#wk^Pk2x9#}|kAG0SmOWxRViS!0ft3pkxU@&)tA$}zXxep69V5rfEh zk-UMG(`H<9`z?2YSn=Gfb09e6Xkb&ekFFA92VOOtUYShM1fffieE z{J0u_CWS|9|H@D6iG-il;TPm5-zW$BB4ZSPNqR~rJm{n*BsB^5q3%cxbC?#-@Wu0S@sfzz#)8pk&k3 zW%$obzdrqij!$e%mtekPl^59FB|vh_UN+b7JdJU-4d)KPgv`-Httt5ld5C0(W2T;WSJt*xl6yv8{pEJoEyt*%Z^y3ihZeg8NUdNlS+&N zKZ3vAeoxo<1(^P}4uPHj-3Up=j3~Z8?GI}g>hEn5pC{jJ6WaLYN=y7ZagZxLHD~x8IRny?!;hGOU;C{uN(WsD!Pa4O zNf%^&Fgk%lwmF3r(K(1|?{9{)^oHrKwYIK|E?TsRcN&HPo$K)N_vm4NEH59zd=1A~ z-ZwPF&qQP@IN#C3zT6!R-x$_9Vsp3Ox^9SHuGqSsK7jIH(h@)avmX+zB|JlyUDHeE zfnkt9)@m5Z_+jr=j~i-L11-rhA_p(Y@v(tV z?g#col+xRN{MVla0?T!AKj?RT+6NALezz~t;?LcXyNNq>^H7xDtdJvt`h@Gedf|9S zBVomw8T#U7BysMHwKU{?{EiwKM?{Z+g$J19_g`-Lb1$44G;8<8Lp-MwjE#cT=0nW! z<8i?MIvy>@Z$xbnCoziOoXnHF`$b%-(c)8@&|&%v!Y>&G0Zgs=xVMI^XCN!S^)k_f zXh!_HLUY3S9a$1homTY``3!=6pK8Te9#`|k}%9Q+)~UX9ORpn<}I0t z;V;-r`5d02avKl!_z{DBQ#z=PiQjLrdFbrmuv-g7>Q_Xo_9E~K%4Im0!D)$1PTNPe zT*n^%ra0}5{|8RHjJ;9ewB}FXG~Q+BLCkY#nunPxaa@&fZCj&QZ4qHE{E+h0ej4o& zpm`^lGCNpJj^LDtR{I;YUF?qRB)h?_@YshX#Engu&$}A0fx|YyYD>;jjATB))t9?F z*O)^v((qlZU>V}ka@>YCoNzV0u6S&+=*uGhGI(r1NgX`45W0}QOQGo}cr4y3JQgZe z^6YK_Ny+>F3xAys!D;^LA^i1KYfhrcG6s`UYTR&{;<5@QUB3sx0+tOw>n>$Bs*H$w=4l#c^Nh zYQeFu)M)go?)iXbrh5hnC(%8>(96!JI3kX3#64uf_#<$ll}%vn&g!AhYeLDwj>wc& z&3G2s&jXdutYGa-b0_DGR}0B6&Ap&3S2+Itt1`yNBuHo4uyZX0ea@+TcIo*W*}M-@ zIV0+mZ7wJP4%uFX>a{wHZ^g{p@@OZ@8 zg19&n@lp`eaCTj%QdOt@9_SImRUz!=^~lvT%>AmQ#j2#20b;SWM|#e3xQ{RC4|^zS zb!kTH_0lChM*~oY&qz-gcmB8}h=~BgK3S^N0#)iMs?;)F>h-$R7g(xwYPhqcRDWiv z&#zMTE7PSuqDuW1t@tPF_t#IQC7x}PO-XMJ&Zu9xF6jVt zQom8Eqz8Vkq%u{~P*u`xx}=yc=>R%Vr#e+gNz*e++P_lODXdE}R7vOlTuHk>kvi>V z#x6B-bV+CHlB$m{>HS@l)Frc|J9SB?>yloDl7#Vk>Cd#@ZK|X@R7np5MC+~kMzvnI z<4d|*N_y<#jMnQ)NeSb6ve9@mC@6!$PgaOs3h`wc@f3~tAF@iz963dTcvvRl=Ux%S zcCuNHN3YQHPm?}hM5k_1P4QCkG?5VK)LOBKiQEx!x$0hteyw=AB+pwf@~K1JeWQ$L zy{}=Da0)D232~MttsA|&)Yl!S9_XUK5m=<-suOyP3$Q+fD zxc?&g$L?2aGz7P@LlNKB%uuY=UQ;IUSHy<=jUYxr94S@geve5HvkYb`7_P|W!7^>N ziuB?v`J*o`=XON<0CORn4{2{RpeD;c^hB}NK5$nqrSb6}%dr5hQ+X9K7s?K>oU>p| zA_X(@z30MR2zW6&GJZ?r`mIeV{SvZop|;8W?hw#p?VR=22dv?kePXLyxr>9Hae3h3 z2pdlXxEiR;E99$14t(;c_wdv)kU6f zix4-3PnmTrBM$M}es5&Js-ReGB0y?7ui=b_LMxSd9JVe=LMk~u$4`S4pB=Euf1>zV zs(5yS*Ns-?Z>)V-Ogcxgd+#jgPi5obB5BbG>WH*ZxtNtU%{p1^^T+ml7y(MSk@j`( zRj2orcu?ryWG;LbaQ2PCo~*Xfz zs#V0Bm0P4@x_SjrBgTJ~+ocnzCT9)f_DGu-NSkk$N*7S+pK9}Y%;gvlWK{ZIY4llV z^Y^2S>d)fxab;ucFERhZ&ZvLWU4^Zj-B;c$jCI{1%nLqZ#eOqn%3X8SGI!Zmp&4^{ z#GEcx9dN9&?HC}Z`eidGMZC}cf)vYjFZw~+2m#h#Mz)Z3my=zG?KDL{TCN-;l%W`1 zYI`nOn--qI`^Nlk=LvbSSd~l}1wvyD)G%IV4vTn)>XHgGOX3hPRl*xILgx}>HT-f< z5n)^6cThs zrEO4ur3Fc|s4-%|XwI)BMl>ba_F6+5b5FFY2%~k86$3COq;a-k6kBfg9=1}A?-#Lq zFc*H9#@oUeeN9STLi7G zYl6Jx;9ehp@dN2{4F9Kadv%JN9=Ma_P-$^{4VOxkUFtLLgze*>=eBYF~R9@&kc&3aZ#H){E@O5ouTWv~Bt-DiIz4lre{zct_~Xs6l>ypy3m7b98;=|LqTeG%8 zc^KI<3#&k5FU2LroJ=k3OIk)Am>7cfWyl^|_tt(ytpZHd-!lHgr%Dxbk1o7b*u6Cm z>klV(PbYKFu)A1CV;MbY7Uk9cLH5~X3ha2i5NS0)_ME3H=~W~$rHld06OX=0$y3-e zvD{Tx`?*hiE@;pLputPQp{hgWx!QhkZKuG3c(+mp z^)qkhO>1#vjlkegrS^ceM=B6xSjqSh_<&5Q8SgFO&Ut8dBNN+m*b)UX_dW zkXi{Lt!rc$RH|W6X>Xmbq(@`C=Ae=u+!TVnr!fMIfdB_e`?M+PAx(6iL`Z8fGE&mx zlvJFS9$h7<9#Hna&2FW-C49ET#qwTGN{@(lBPqP0PK%j~N3q$(D0zZWlD5xifL`q^ zFWEV9iO`)>UzRaddFO(vcFSRL!DU8r`K#NimujmHd4IjaC-R4Lb+NwK?HL2LJnNH^XIu|4CJHf8#q+Dwr^vHkaaY3iSAstw)801kV{ygQV)Pbx?(?Xh z%r-JiqEZdiOSm*G|8;XsD+*fiOn*|A(a26K72U(mlKATG|F2md%J?TW;P$~2C}TKK zfsYZCPIZ0ieNy20%Di6$tWXQ$Qfx}|^Sa}|K=y291K5u1U5cvritX6A~H{@ zZAA#aG6dhm&O2t>UP4f0VcB4Zhk(&v{M-c-F*Wss$jyc@VNZ@S(+Dt?UNqb<{Et+>^)Y1soA)Y82MM{b;}plnlVR@fwE7!@PAZMCV}|s!mO+&ql-W! zTon{64~+d1(9bUr&|%3KPHY_S5+l?c=I}(<`whK+7V+LJ6tRJZ2j?VFYG=&x5=97A zJrb^bsH*e+i3m-~0}B7QPYEfmMI1{r3=^&+LR!=at9;@Rx?K>fjW)HLD|;Gc+#}V` z5F6mc(xgniQoUd^WFfc8BrjlrjP2jIK}%AvWYXY_qy~~0+w8HH@(>u$V`?nlNM*s2 z3Ho~lIv@#JgY}-{O~6)TgTax=(616Mzb@zXpU6Cpq+2K<6)K=E0|1vj(8stMiJ$psQNY-jlDvw-1nY2eO;YqLsm+(=Bqb$~#mJyCteGA4ZS!>{u>E?24bI<@9~#c;n- z87W3JJ3|>UP?WZK>S*~?eePjpg(oUq--vgF1kD96y_HA|tmnQh1ZUX0rq((vN#qgP zp#Yonx054&OqbVA$XDq)9C*qKh)qZ8_NLOzX{ zM72gIBy@s3o$#bi_*y57N+&GV30{e@9OtAHX6l3jo#09*jMoXdI^lyPRla~#%0;^C z@`RQ|HB&23ky>Zs_YQCj=o7AAs*i6m)~n(EzhfYfynn8dog>-smz+dKqkQ=nRrd-_ z@D=HV{W@WYPVlA^*6D;2ozN$p@U%`iT_^k^ov=(NoS+lBr4#Pb3GM7RL)9_)(Oor3 zC;Xcj9QaO`4PMJ}0?Z}p*v6fs>gafdvx{U*fr>G9ov%RG43LESY8OW2$(JIIfD$B6 zs1$|d5HY-}csodx=)S(MwAAK5tJu4MQ?a-9m)L(2i-5j^*o12Z0T}6S#0ozbke{EC zB=Iu_0^&D6%0@zL&@v|`-*!Y-(7H&TsJ|p=!IF7D2+5~)=vU)-?eY#m&s7}y>_1}B zJ})6JZidl~IrY1eMBEc$Yxrq)%}dl_0C)vQx#oo{yGbxn-CM8MlKk)sg%W-^Nquzi z!`VP5T;DHORX9bmG9Jqqn;nMcwD>pdbjqBNu`o%F)8zO|*)I*;kGZ5TT8NcsY0vet zt?E((SC9_Ku&m)BY%Wq|BQ*}^nDY}(AK8`@oHq#0i@<3v_$yIpsgno8t~`*;h6sv%cA&W)4Vlwr zKdFiOIvzT$IqHit@5^p)w3#AF%(gZ!ES)Cc9 zN5T9r4Xo_5X<(yykZRyM-jdY~T+M6sIo0P2=F`AjGlAum zSFN<)x>mQ2dNw1$W3x#NEFbWe?lL&ohe$F;wwe9`c#c0Vkg5Qy_xnB z_PQBzJF(YALhU(1?I{`Tg}+Atqd9ancX!dblb@faKi^7yDmG4=Vya6v1M8!>f;r|} z#At2_M7su}T}q8l$kEXm9max`8lK^CSR~H<759UDE1gg({mH>^4`GRAkb(~go4iF8 z?H06PI9FKWBJ0=*c$0SpA5-i*P2vE;-+*|k8kY=;!lYU#il2mzV%6tQwUi!}fmDNC z1YPL{gVrLCqm>zSF0$I_B1KefRQwuhu~SgATjP&-Q!oabK_eaT5qUfCiDz(gu?$FT z?;jw=TpA&OExVs#9R7{RC2#o7ok3C0Ku2n9R*lIn#PR=CM9X`;Fvo+C5UkoROUS`& zqU{Jqv*|ivzX4oexxnKp7Ch&{Py(e#+VzrE4fRlVMkXy^j;}b_zyabvBzPIL#sQVqN{JWll=bqLUS+G6y}u&a z3j7?R%{4j581_5aE6--vlTwI1o}N_q`~l>h%0JWN7%c^!N`Xt$1>&-i?n(DfP|I6( z1tZ?81qW5~t&%=URYn|d{mSFW6=XMXn-qoNGQr1fFTZC@H~ZWXY}s_<&Ja(0V54(3 zX(KrO67N3jf8mBSr?A|!iPxp@?!*4Zh-fHB;JyW)hO606y}0`jjCTKV1v~iVWfY+_ zO|q*n2VS|3*ts*{lL6Aow|HD-5^+6sj(|VOCz>I$odfIHY_KU$wAqR$2Er4AJT9l? z>D!4XDkOK3C+O~se8;hcUQZ{f3|jjlUWX7Gs@mCUWvvg69LmAq<^nl# z6CTl*f#8#SR5AzmbiVNz*fgsOYe&K@cyTjvgCI2J^VYc-w9uNr6EI87SooG@RMgiF zVEMd+=s?USE@sIiE*1R^&Y7pM0ouS0i_^w)t7$ZJRkmzmc8-;?(~A?&a0#S+gz`G~ zmp*H|&)O9K^9osX=EIem3_WuwiaO*;hu%M(45!N zwpvg@xsp`JjVRW?nfZ0UEzdY_mMBHzk70)5a+ZtyUP4Lg@;kO^NO- zlvIQF*rC|3AFVpT<9a}_$h4OhNn4>I#eRdKw8st^8KT!7NA4RD@1MxtQD05(eVX1f zL0k*HN(9w-TxUzf?GSc3_$#Vf#9?%jtFmfB#9txhrW7BXyFx7ov^_RvlKURZn&Zel zGlN|B|1Y^pKPeOgg#i)o`(VNlF>Z+yAkGXpz&H}9dJ7qoq4kfJeT*WQV8C^aYLt9W zYz)9z>=dK@_ir=ry8JEtxy9dE0?CMCAN zSmh=|!gUm_NIZjbKlx1kKpLBtWR~L@=8w!OLBl>MWf_NVz_Ao|U=oaqU&s6zi0ZOM z=S9ccqBESWt5=G3a_dTkLXEJDrb!J0_`eUW`jb+8w#VTmaqe_^E$1dJ%B!Wc4pBb3 zlPH%qPKxpiQ|GHcE6+M*rFVp}&Jcjv<4)W24oL}%>lqgvTgVE3#2Z=t9 zXu@$H;W**b1&oL`0ca!Qgk%K%IYMV}O!1HN*v)@lU3b}|wCwn(h`h9ScW;abcn9`@ ztSrSmhhKyQU*v8(e11N1QMIXvT)Bq0Eq*%pUCIaU*ROGpR?YU`S?OlGwDW%b|Ly(j zyj0t5udv<>!ttY`1s4yGPQ2JYia$>IgWBh~m{v*dmwbovmM{+Vmfg@$bWl%H!2>_#jYWBTPr6f$Q|o)58EhASY4pI!PNDIf)On3O{Nz8GO_CraGq21LTuG>! zgB&3N&pC?3RvnGrmTTu0b~Qc=bbj^VSHk5|d1Zu~^J8=mFK_%1h=LhUeE5@<%%!*G zI%_z^9fKZjIr0?6W4b%px5YXh)toyc_=BQWNf6_(d?%WD?8=Tu_3-aV-c1xFpcgte zORDAXE{az7LQ&;a>r#EK)TdgPR#RNldZ1$xCaR;w_5STG(vF?ZBVw-me=p;Mt?7j8 zOjSD$=<91(KoFJQUWMaS!^azo<E z6MgnzO#764NegDxulr;-oATF!5Ep|I28^bwA#quM6iD^{X+O{CP!_ zu{)5fJ!n52u)ew>)bHznr)9>j)f4HTB;p_FE6ySWi-AwGRwE>3aI@xhIpT?3otPTU zL|A-JJ9y%OXx<(%t-=36E6=tp_`3F&@_y=qPvym~ymv!9 zh=)(gfji?1r-G7Ogjn#fKi%BQT0J=;)Yy=3d(m#%as9qO`qDr!eBx>>K5LYP+zzo?}XK5;$! z!j+M4Z8NS8S~LWw{qKE;uU2)-Uye@^CerK7Urt+#IcEJ-b8-u=fLom6HARQF#&} zhhAvw8pO4K$g|m8V!$~eYq2tQYduvi#v=}B_e%WXT!$A$VSc;sRho+p_#VYR&wg{U z9O(t3&lcAa85@?MPi(%})u=%nV+AcH=NpRyK`I%kXV{1(X>X2teO4VsAkk<+#~RvT00RLF4Uh~ZI0G{f zA!wqJi<2PKm|!k~7P%O-#Fqi|XpdUkgVy%g^S3Saw3S*f37`a22;PeKcuX~mdE==^8 z$Hbyo(Z}v>U$C!~;R)pLm14X^-z9Vh1n#D7p3{w8yVEz-praVw2 zCTWJvZIc1RJ}r877MMskg+ixl&|sT?%3RY`V2|J2HdlAA%Z`+U5_22fV;Uy$yxzT1 zxXghV=WfaL?>=kR&91xd++T!l2Fe}`AC{&Br^>?flCVY=2rnl6lFm}_eY;4FTG!<| z9P8FWiBb;xQUc&&en)F01(;I_y0< zFra&2KqMZZ2H}3%vZ2`A%RcsbDp$sc>6KMJlVX>z62F7F)My~r;fp>dBuIp&J&&Mi zFJVL_1WV7i{gfzmgf4t*Nx*~{$*Nc`2HrN(dqv@P3%DeZIct4XON*~9keizL;%4i+ z8Q3M{8O%Wb>%808mYeG}|EhMha!vvVUlzWW=i)vJgs)5uhL<^5Y1nW0LoTM-kt=|d zbpUiM0Ok&elKxieX7k|3jAs60XvP)2=iZL)2RjA!x7Ym#UqSO^U+6Ig=S6>b6c1xz zMXRV|&9Hf4tWX#2ZQ6jgJ^Fm!P2C)qY`hjjZJplM&f^qiK2D|{Z+^QagAPK3L)gof z{g*o<35z-mo&(YhXu7}}N9GE&b=(<1H?(gB+WZn>NFbiqeQ3GyQHiN|^s}?E#8b&s zS3ZNftb6;@s+~jpvYzeH>zVcNo9sMzMK_QSBj|#X{w2jyI^4fsghL8v^I!1ie+EM{ zH=K2ITtC;_2QIk5n<{0>iDw!CeHN`M|1sLENV78YM5^J00@T$<1k2=3K$V}BJ&}Hc zsnG9dHjKB+XC9OYu?hunQR9Vd)4xcs3p9GJc}TcEDQLnJI&!ha#6yDejNU#6#b;&} z$f0X^PEt`R?-gx3ONqd8bAbuuAC>Gta?1muqoP&l-ui3i)*rr{qW)1DUY!JCdLg0y zEZ*~ds4vijcJ$O922W!{XaYA?zSJjXC zQ=Vl~6`jjS_Hip2t|MVSM_BVYi}~C$*nA%TlKF%%?6caT=F{d+?D^b_mL&5D@@E|c zB~u|QW+BGer*2^O+TI^pH3D zm@kSV@sg}0nJkiLG6}7{(Bk(wHoT0v6rOV#q##4ixV@Knt1;OF-|RE@1=>n-xPu-y zpc@Fi5rmz@>O<>sCi?>>+t*f^s+K9tD}z}?@_+$T#rPK{x04)zX`>k&I=ozaB^klJ~~p_fpWW0;a5d< z*&BThDe(mO9*E!mmLY_F*gK45)g63(q|yb=Lz0y2glht$B?&!w>>C4hC7epb3O)>$fvs|Q*Ml?z+DDN62h z?GiV^Tx9IB1zQwZHP};4#kdoi^HAqXe^5F-y+ehuE1WVucTCp;*dT@x#I)u>S#^=+%64 zayvaszW@O97LA&)K5aLbIHNs94ia$#OnM?#JEUhpvu1)P&~~31v7lKu0j~X_+>OL| z6+Xc{ASosRC6-PTlqR0jrk9F2wdn!n6o*@pf6zES-?SR*E6W zLy<-H2cF2CT)OmAS*rPr_aSLJZ$U0F>%Ntf`Z3ian;&GIC^fo;dBAE$ ziTlFGq3or`P8Gb%_U=+%j$EwRcIEA|y=?4`tbc%2al>WvFwJc3%tuhD>35d($+q*!jf%9fXWi+ZjjYicdu=rz< zqUc4$ia;5=RrhsVhXvZ^r@}0}fTZEoV7Q6_>0C1mRdshOCor%a&%l{@+0T0an1Mf# z|EgL?V*6RFVRU$Tui2Lmi=KyGJ-bU9%Z1%kIFC~m6R-pY=E^#Tu6S7C`7E5~D=YuWgUU-&hyD&gokI^=m z3aAfZ!a=a$c$M`x7*zlMy|U;8@}H;q@H>&Ruwx_3(ser^3I0BMKO80!vd4BAon(0< zBGcO^OhOi)qI{p>XVbwZ`A-tB2+>k`6Gyh!vO6GUwQK`eP?o&FNRUD9{?KE)yrnPN z$rX#w>v>_>YFcG;0l+R>-Dpv}cD6s62rq>_q4->B$m{NkKQjVvh$@%+ddwb28H){b z0OccUEFjQOI>i^$0#{nBQM>EJoh*;5k5O3*FZ8Mq-!Chl?mdmClx(Ck4#ts>sd^q0rZsh zUDj@sgvz(Pa@r_9Y@w9Eq1#gP;nVCM3o`7=!b4DRSoHH>k>040dl5K_bgoR$M z@bZQvq<5^3_f5y%wvquS;H7x)|4>5zN=>A0f1+BYV$EwKh)xPbRwB!XN5ymCi|3P7T&5?FysY}Pkt5-K+Zs4!F2(70*Fg zSdAY%y_{^TI=BoR&mpEjsU!8v@+jl;0fT2a6Y{`hkY})ZkW_itx4Wc2;9}4F0f#Hq!s9*cOv`5sGir}JUzu+iL(b6edENJer59M|< ztU$~y8r#O+ql77hSi4p}ScUnO_4fwr%tl?XOf6ziTGzy(9k`N9|G>6POVS^E5~ZyXEczvj#5^4yF5{f~3U z3MqaT;+szs*6&%}6nL_5mkMIpT0Ozy$98#EAH0K0=>Et7G07@I_GS6|2Sm+6{gO;{ zgCh5o^ozBMLu!1Zh3N=x-P^gus?m|#arB?kShG|x+ifspuB?HX$iu8&NJ?u%?yj^f zE31A>m~6W%^;XU5fr!WcU4+r2BpX{Z7X+cwb(qgg*8z5EB9VSe5Xn;}4Bjd50@3F% zh;IYL=pmeC2@t%bfZ$K`6Ci-Sd5SL$1oRppsN$ah!O=Ct0@xI8z0V#k0Rpk>7LVdM z78BqVlRXT;euK>?#r_SX=)3}!qd zO9Ug_zpvuba@DgID3lJB_iaU7B7otLIS!=uS?Maf2pKBTT|{>gl?4;f?(s9xcd02B z3M`Q8;Z#787bZDqo)VkqD9u6uZp|}iY%T?SJPxvdF_lJ-liA31+v4coU0%J`8NqmnSPuK_GT&-Kb$|voy97)nUxC_TvTLe zxcJ(l(?}t&3j9;eU|iVms|@rIj%X$rDS$MQwq&?uo6m8JwCjW}Xy_6dfIt_k)+xZ2 zg-4Js8P+_3v3G138}kNA9u%bs%@M{J7)y3vC!$fm`5jvPn!s2fd;$MluPSQ7GwtqH z?hP?r)syoW+n4+ZWa3e#iel}IgJ0JgVC-O1a{}mnPvs!^siwv5yzJX=6{s8i297`U zn6I__3;KFcbrlFoKMiQa<-Lx|P6>qiRKZ;eE#ciKKA_ZcOr>so@*JFEA{2jf?8ldd`lT1N{Axk*eAhQpg%Y?{l z6!Huk204_xrV<`o0ZheI1zZ)RmOP5J4j?C>oN7ZHor{lG$;x6_`2tz_uB@J_fUVlf zB&I0j#K8jQuc|U@s=!c|N?IY*jCvJNL(aaYt&%KLpj!}Bf#7frf-|MXSzwHu&+)0C z@yolNrKnw&4Uc-lo7F;`}$51r$V*o%l<$>;R*T8NQJZ=!IdWNW=Sv_tLtlF)jD#i_hRX^uR!DxBv9BI1Y1i^#O5zjEkvGr;_~<= zQG&!Q?Lk#&tcFG5@?vlq`TMv$wirP(Fix1jpjiQR6DF{F9B3?qXW_DMi-pTuEO*RK zTnm?f#aMsk%DDsJskX4#UM@876;E;Rs?je{` zBZ7NkEZ3Ok(OAyKZVMBG=DKm7Anz1`lCQC1gO&>tSW~x3Hz=O}jZy`Q2f_0fhzelU z>xM2q1ndV{o`0vJ2E}SNW+I+SFJX2x2FLc-j8~T0tI2wt{RM-D>m0(tz8sCP{9-uI z+OvsZfMvLnC#kEPP7>IWvNk*argB=T4@!ZQYp&W-D>0as|;`d^DBWIwE(Dnx9oagJN}al zilq~iM%k}hzN&USAcbt*o@rH4^Mqi~n446ZjM762 zpF+AW6dcNM_2~o*>Uv~5;)o_hdQKls!EAf)v3M(4ye34`d6n}k<99Y#8O?3YS}^M)I0&h zP&MY~Do2%bz2&C=M7bz`5=-x_ZqY-@lh`}SoPK8i>f*gqilGPs+}mdAHT~)syjpW( z%?H0M@$~Nu-HcB+$#_+zpJFuwj$O^B8eA=Sks-F`Q$fOyRSv~@$q3tB9%b))cX%HG zqy))1S-62uk*vs>LLE@ase;J?JSV;Zj&7zRP3M$BP8~RDK*3K`go5UabHbCA;sISK zmF8tsaNgj~s6>K%Pz$A%d>K$s0m7vvj`DER3uAc8NbR3StOLfBE_7wli!kP zOHm@+mJ__z#Z zGi8mH>97t})r`pH*r_OEoh&bIGB1aPOOu12LmadE^4}}tNSMP8dX|+*carr8#)j@B zzlnLJgG?;3SxNjj&Q?tadb37I-?K&{;?v!?TP`ZL^o83cWJrHzgG}=IqP`O8DOVGo zz5pnL0MpY9ju0bHTfw8tH>&9D+r+gHL?mP9>}hne6!l6I)9WaXpboK}D)T#IIEm%4 zUNj-E%7groqg1jus6gICUDBry*aU7lljzyNhqb;bQ0A~^#=pbo!PBBwXdRicMN_L6 z+V+4pylb7jvz{GTnr9!2ns`O|6TndLS!s#;3M;J`&G?BM7xY)p$J+p>; zE!N2+gHgcvYCza4r+iPa?yGZ3>u`=JG2(bgq7GTYC9IClGfQ3Na+$ydq;V7~EJTz` zt&BU*>qvH~EwLIopWVgJymo#r-bpHT2A6kV z?nY|GYai0(S;uznJnJ0KZ@!tROs0<7dw*n|zTcwHq3wfm&dpI9@^MPe(XSll8gy=@ z9DFOwS)6f4^hvlJeRp#be)l|@$Vqv4?&pLYjjRo-6Yyo6fcxSn;OhK)|6G0kO_CGO zznQ%99C_^y6*sv}vFY6m>PNSz^c}g^5-`VHxKG%AG~Tx63RlN12%kBA5`p@(+qZ?W zoyb6>zXG~(IvG3g=6h!)5>yVq-%2?A&Y*vR&|lO!=4!wBiq=#5hv)hToWPngk5&%Km#4mfwlTsB7J} zn(^~)$pO4pI+DNa?0VpNx2glm`M+}Bt@5zMe8qWpApdauyn8f*^=xmwujsXPD;Nzu zHu)$)GAz$B#;1!45QBqy`;%XK@*V5jmz=Sua)+X2zp4s@;ZNJj3+iSbC&1?%7riqf zJ8~|5e62v)L%Dql)5dPj?Y2H{$!)hjc!`4#M)#6W0jJ;QZp7!l;jMH<4n|*bwIIm_ z8G`fU@1-myL{B*aAk{w>OzGh6UhXn={B0hTTSY6;)dU})7QHS-pV50!P-Y#2`)DvSdf(M_7Nb)1;%%@k$pnfX#l#q_2Z))*DM?Phtq%xsU z0;^BZ}6(&(ts^vDb($p zYXIool*Z64`GO+%qxY{4)#2LE;u7@^_Ap?J>m>V_SZQMil_s`cpV0EnnICp2rfUcG zEBX+Lb3{v5Ek!ChDMsmZ76WBzPGzba6MIlVmWY&O!f8MztEVJO^{0r+xV|bNCw$iZ ziQcpQyg_}ov?W2_PS>RrVYVFV^16c?Z|wozp?=$M7BeVH4VtBl3fARTvfmuy;qvB? z$eRZ&9l^yeImr^vMYLO)uIO`0S+2C`FYc{KT7(xxonRARj4TUc#8w)-(r-SMpft$t zh(Fn{qc4cApfE0!#~E)`rwZN0QBlCyX@?2FXP_!b*e*LvrDF$3SbIDSpVA@xsp$TF z-_N0bqW1i{3V*olbNjr_nnR!rrFEr5m?u(=z!4}xCcn%tUi1m^s$ZgVR1}*4OT+MC zsU@3o;)U3Hg&d_bqK^tSMmRK626ATP?}wsMuNty48M0m?ts#4zFSe62bI^WyFA!eB zvFNN+4x9g?h3ZeZTOT0_6rx8C=HsFFs`4L0m(NzeP*wU{yN@Zp@(Znd5y<~!2e%Nq z+4`R(oU2gGB-#IRlq9D_+&sy2anr{!d|*tHM994c(ODdjDMQ6^qk#Q0XxlHATtSpD zZ#Q5{k_Ck5Mo%?5&5bQ2uA%UWr2n}Qaieh9F~L%ndF$!XPyE+1+elA07T{k7BL;1AbKpV zGHO8%EpNC@J~XEJZS~yP{*(z)`nesc?BbKVnfP|@pmeI>n2tp|W0Tx13DB`nkq%L0 zQu-Gvu8(O>j^)cph;t=NHk4JXJ5{KZB)h2+f6;;U*C|=)QL8u1y^!7neVZQrRpgH4v5Kc&J$2fT|JE6HtTz9f%+omRgXBKh!L< z{}|_6jeJ1@j>|N>s8ny{>kY3^O%(c!4;i{XDlKhsy6N_b+EaUL*bxm^v|yp z-cZz!<&011Rtb_H0hJCU>Q-qi7u_n^7o%IXfMa9Po3rp+SRf!RkA<(wF;uP2m4471 zDn^(baZ{rtDjf=7AfyoRI3Jv+A65c{1QtD0C8=VF70itnp@@T3fmI=~HZ?%EM^z(h zt^4{FzzE~80SnW}SPql%u+%TwTOvcDc!Ru(oOJTIN2aTjTdZVQ{~Y{}Fw78yx2})6 zH?L07Y;|eT`|hpD5~CEejxk&q{>j})NDyXP_M0HN#X(Xjh<@DSto{4<2#I7rfIcke z^{3|q^Pi2=M_DnG`XC`p;C=@f;$p*iM7S+bRy3*d{ARm9f1kh#Dlyd}UM=Y(Uc{A1jB(U`Vz8I1aVITByS8TDzOl{Xq6#3p``5|fj22ZXMT}uz`U19+lhEHroLX; z?JN3+d;2SNT&|nQ0Kj;lSOdqbc$HxOKIE=La)3S50RcM;z%G!4m@HwZ0S}JG_mkM$ zOYthLu3-M(WY^)fR_6TU{{8!o$qeSRJ7QwE?Y!NlKdgo>o31AdMTw0Uq^Lr!LUV17 zPvA<3f2E~*Q-#v3^cOZ!%xPr=QbgW<5{aL7=gCp(s5BXJ`~q=E7ORgYRsy6DO}ZtP zC@_W0ZpN1MFR5xJT5`)n9F=dztFLlM8)-zp+FdD9u~ekWpxGIAe&`~?MU@3A-QgkJ zYP8P4m;v6OBKMLTo&`+Bh6_YVIqW(vqsob+*+I(z7=S&4cY**L2Z%`_)md6IS^7vN zaGX5fgPP}Hb+kNyI74mAu>wH9Ym_)4`&U;8t9`y`qb+@Eh5LMXWV&Pz+Z(~WJ~ChO=~ZX(Iptd&r^lN+lQ{GqJeDL-Q9Enard$DS@_38CoS)dRg!IFj0$S#}X-!Y9gDWS7pnD zZ3wtA5nB4>R%M9@iI<6lc%`-JVLU3hfqC6>ZUs@4a3ySYtev08ZbW(ky;5=;EwZ8L z&<+w=n?*kC?PH#`p%jUYFnx0COLm^5z)HQyZ|tjpSO*6KqrJCU;+t)@7)6Xqcx)>a z9@Dw;4HlCN+szr@=cCl@E6tzM!k4bpAR%O!B!61sxrcTAsSc^GF1O@iisaE- zxwqhpoJpwJC-K=*Q^?u;IwOkmcsc6czM{w0ZNOU3%M^+&o*2J}(DCnuFNp|nk=k#! zV%ubfm>Lw@$2?=<`nyl;iC^NAwrBr@+>)dBOkdkP7D!@dtC-n%vNsajivXH|HD!R;4g}NN&5`{7c&kBfl? zpIoG_LCNF*UM1GS*na*<$1Ezs)TyoywqcJi8?)6!E&yYAbVw@joj&Q+3>tqUA&8yAv_(qDer;C&hEWHMmB z$w`TO>rjgEn(uiZ-ATt1 ze1MEL;lY4_^JcPn=}FtArVr4adk8HDx1IPUH7(h*0{p<-chE{p`_>3d62T(T=(|y{$+G`E#=7smkSVA%6uI#E=%|iNro1q`wWC z0fMfaC6%TBLduFKYk65&i+T-vM>K>NbiFE>*elxayjl$e>BZ=%KwQZp^_=F)K*;&_ zi%f{RBIh-add+9@N54b}cjLCuDfQ^vZ-tz+9?NiF_g{R`_s4-0_I}rsfSJqwHQp8O zhU`Dr$mCTzkaA@DQab(NS&&97b0|T_Bc%13?PJ`Q{f5rg&b}y@?T?n`vo1O7D8l>T zFjZdqWq1PloxZRy%N`GJc-HY1?s~R1tJ{HEf5{5>7kKJBKk~Xaln&cPyrXqb226r? z7ikXAo-YojCPuuRy1N}2F-W&0^+opGvMK-?%@ z4)rSY7-I6sFFegwWzZ(^zFDdHM9_RCU{d;18@{t*$Gnj1I_j;Z4l`?uw+NF>?S6L< z!yN5+0!*Yk$YV?ggDfl02se2f^{~JFF%GRlWIi{9z|8D|L*Ai-08nRzG}_E!5$Dk- z%%39A*{HJc9vDy&2w#JpjWjT83(FP=yRC;<46L-#@Zvz|o4~Sr^K(*QNa*Hc*@`Ecy}pz2vE^gG1c=6GFYHAgQ}8O!X9pHoL^o2RW(ayAf0Cwp|xW#Vmf^w73! zK4(Q8JNZnL0vz}H%nhu#QTO%v;JJuO7?|tdQyZ)72T-80$ClGl!56RTxKS8$/ z2Hl*ukc9oe46#6pY`mPiRJIB^y0GSDzeC~;*(T!vI!j2wi{X}^Tj1M1$2@@re%O0T zS~tzlk$DKK;BrXqoJwj;|7^k9kH6@-4WlSvG(o+9OLi6?J$`a45+z3DgmYsTf&Dmb z{0F!cf(6wQSZ&?6(tC**Hp3{KKra>@At7Sr!+LHn5c)u^?ZS=OoZ{gbG7b^F=D%<> z&WHVu7*0$dC&s~>? z#YMUGOu}=eZ9z-}aCu^$L+}<|1-Q2q?slg+AXkn+(V_Ldy+ikxIcO+Toc>cvfklIl zyNNHj^y|c7)TgS$UUj)t#@`d!q#EpOBtB>=qpv8e?H3#_uo&-ht0)N(6rQFE0>dM) zxs)txk@-|Kd*XDVF1&P-r#_y<9wr|Qel+`J^--O>Qr;d|$8B*yVKty2505SJRG@*ejVC0#q0Q}AFoYqLN9WeJY$kKn3D2Ez-P8K!Hy z*K}?3VqO&E^IXBESiy(0z2@BGZLUe)C^kNl);%TYf&8?r=(Y8CNj)CvDoxa&UoLAS z{l&x$7A|A_81OGiMIRx40Uk5YJUT5#70vYI=VdNT_*GI1?}y?9LwjeL>TQMT_~wPOHu*xX9h5N|FLDCcVXpnpF)KDY z7v#JlnRk7@5vY`AoLESbH_X%-~^o}6+ z|F&aV9{7^u&X_Ro9XcEgU-UWq9n<*>604)n?8AJ`52=mKoqRHvTWEyiu*jMma@jW1 zu}7tJwh%4*Ta}@73&h*`J(VM{#qlLsW?5M-*I9rr=XZ1##7=|O;=e-MK~N;$Y5D}OIBnb%KeMJap< zkyi#b(cIOrHs|bh-*AIdrucl3^krt{QpY6}SB5|dp4&CV8$D23bilpU(mr=yNgND9 zFm%A%<{CocsRa0#FCZ|;C)4I_bDTs(F}}8O%vy(g`;}_eI{X+Du|=?=OpF+utK^>} zw>zlh59Im)n`TV^Mm}HV6EJf8iLQzN3+1ntQXeeuj!>&!BfwTYP}VDn&^8{(O#>&!Bzd5M{sSZukN&e?+%FhLg(L^*m} zlA7m^4Rh7e#FB$#dgn-ND4yXnHWYH8Xgd2;(16i+i9i_*27Ud*(Z>YCv76@b7X8(| z?F@{M$YQ+GZ~iqX^q>JYTV1ftf5)~L24sxj2x3WAmH>mW7UxsqEHkj%!KCbt9smWm zp3Te!LI(n1A(*`V8`j(=TA%~0!N{u5$$u*O(Nxq^I#M+{!|}XKDbvWsVT@xDFVp!v z$^X(NeYWQC9loX0BxVi=OZ|{eEpxOxF}2{}31x57sb!XKOiZn2DV9Sug%dOPwi$X( zrYF!xKN;iwnH?|2wUK!lSV+hECzTPqJ*mN>&)wVZ1pnrTr@xm_-Ul4y3PPS?R^00d zgdF!q5Awpcd+YCIkj*J?5RFc!Ir<16-u%vJ2Ub|!*Zqb8R);v4MC{u1Iuj|@>JGFX zI3Dc~11V4BcVIfq!R~1jX7PggXt^u<@1fFR$Gw0g2mB0ZM%Ls0kYm^i_sLn0`&bGI zaqahoIP*K%wck%#2d6Kbz*KVvq0*xLXeXBJl33Z)Vb4Pjo%k>EFz>A#)4ZK`LYBd~leFhvgefD)@uqH=REh2RS&&C1nZU z-ymqe^Mijg45@a%vzIRbo3M}d*KUM|hVSxr3QYeiVZQy2B&j(bZl+(mgYdS1!(#`+ zF{CfE1IajfGA)cUzI041xs@!sKzPU!Mk1PhxPaW|e;=dJLTvrF%gdk3I2Da%kC7Pq zI?dNwlRK3b1ms;@Vnt5Gu%LtucOPJ?@Z=RD!R5Fin*GT+jMM(sX!5$>P+!T?C6=vn zcvhsY(>U^N&Xb>$F;B{?xzb&d;dVjO@j6|6b-G4^zHf;`X>nBu`}Dig8f9 zIb_njp_md^d!q}isr?XJ+DHH|WzF8qR<)Ciksk2>#-m#p@{$LVT4!Y6Mxgup$N1gv zbmEaFL?%=1=Jw_Vk=cxRWIb6TxANl)XFoDYob+GgM6OGd*>4#eIYJ!CJ;ZOb;x|Zq zHSznMyZ#+r6bdbw6ut3@$eba3ZH~4SN4D}MJ1fo+kVTrEk$+RoY(_Qvab=6oFIt`; zb$S|wd80?7PCrGdF-kB!&H>zhfDw@Gd8?Y-M-#2<;-vExafvRj3{zLK1_a^}aEivF%lPzet( zntx}Cke<7zW!F*khM|S+J?~LPcor|wCaoz0Q*IHwW0=!WH!hIb>CNKZ6QI#NDjTkt zh|+xA{1ZbK*~!*A9z~B?8g$f6WVfQ&Bek4Mp_7P{eZrwgi-6Jfp8!>n#|1e|=Qpg1 zn@_USM6)+iEr)^5)@VvgNvzlj2{ks4CFkoFuCxpbS0;%Nu{X<38_k{(YkBXG!j~kL z({^S21#0+kuy}6_G1=60E7aBI6_`{rlV&&P1p0z z+czdJ0>4YNbLCb#_s2w z`QBlDhl4qmzf=5WoX-aPcv;WmE9AQnA#P!Z?+>j1{87?bcnafH`P`)_uR7m0r4o_H ze%giika&T=OOzZ|I>xE_jQ@mM@WN0uJ4!R-)Zj@l?h>Jt(J`+Q0bGaEgZO*i6C8q; zM2f3E12Qz4#+n2_dZJe=%tOieqU)K6r(wgr@-ewY*$vh5Rb7^Ix6r4?7 zx-PB0M*L3YZ=S#?^J;yAvsMP6wKIzB*y$w!us0V+yyD_rg!8y_G`~q|#A$+h-81rc zDpzm-N$%JkyojCOG-tN|i)hPQUnt$j2L#_KPRhYe)5^<$p{2WrLo8QJ^X9Zv1oHQ| zA2>e?)+fi8a>V_BcL32N))jGy6sg=Ajb+IpeUv3Eo%DHRN&d8cC zXwGL&o|+1W`NUIW)g!2pePF*RTLk;OyStdE$c2*GeCtsn;kDo{ z;5WX_H%*^za~0uk6{`}(ISW)+!x4!P-a=6yK0Ly>{ZI-pukVydxQ}vQ+x1e7G(-h@ zcgq5A@m|+&;WN_C1lc)QK$fwrlxG9JxD~RzM6(+ylhsGKHp&y`EL_&-zJ(D%Azmt- zD3wxM33>~B0)8%rJ~ix1i9Dj#jyrR^7%a?A%9vqvH?|IYeBsfBizN4qaX7u~8dIeI zki6Wp32xns5!BZj5qt|>7m{wxgIWg2JJiZ+49FW9J9yqb0I<{@CmTGK#c}xErDg|q z;N|VEO?~yvwRPT2AFise^>e0S_7xuRhG!?04exT_?cMajdA0Q|ZI0Zs;YTRPVSdKI zry_cD@ycpz`Z+f+USs--qi#;LPQhbrG>jSTLz0Z-ls)_~$Hlt3WgXs|olcl+|b(y~>LF zM$^@#7}eB7@kw30Pv-Fr?-JRfN7!=DH}`&bZ_9jDUEs|pYL%>{Bae3S<1^ZF zA+O`6r&E{=Ly7EjeF6(C)7%#k& zu=DuaE*B%SyOff&T)FeNeg9~wd4RBcLHWor2%RtVkUIP_?^7p`h+4M8wZSAi_dG0J zyfb$rUh9N3Jo!;|Kw4^!dHq+UfdeV24VdGU0dHT&J5Kddj{Cw-b_-|j3olu=VwQVC z^N^h8?_zAhG$(KjI3gn9e zxze<$@>L*TCGy3tx|CygFUrAm*qp z1$W5E|HxEnRj5hd)Y>iR&`K(R(scS05@f~_JSv1zpcYwaLV~_C?Ghg9rh_Cn!*mW! zNO0Ir@bED!ew69_^Mmmw{MwH9KJ1|e0c_3$6B2AA!CVX6FYjPv?jH%by9L~N#(f~T zdt(?N;4V)N#erW?ArAcLwL9_?QDLq|1#T9lCsUE2f*SowL4{>8ERbgoddg^oMGX1n z9%>N#&HlDUSX`bb51_!KsLq%l%7!WXr+<**dK7}}M2|rsg)Hg1-LyJ99-S zA?E4@3dB;q%yR(a$Z9%8?}ER+V!1vj^HWwBl?#F0e98?%pOvDVW8d~CIC@!pcVlQIaoQ=vK^_vCIQMBXHu>U~IB<9%4# z(qDh5jS)j1_2ap%(~lbN&A(;&W%D?kPy~8E0>yUnNw=LlsaW3foaH{paodM;(1cIU zXdFV;r+PEUafIdXBhg~M&3(~EvSanoXXJ2vOa3_qIKU@iO{GxPi zqy#_bzTtX;Ika(C>`_{|?i-p3K&qY0$ygtS*HJiS_96M^G6L7&KcYpBEg!k79Xq6+ zPu%D1$6Yez-)Jm$7B1Y&SdyXhBlkteq<&OP&Y7_SHH53iA_bjML9=Li2Sv$ANtJq{ zZ%zx;z2o^aS@YnjLZuq5^+BA{mRkT$~TpF5rN)%)r-B&(i^!T zC=zpL3z?-CVgnw#1avt28p%Q$ZW!e4abM^h0T4#Ys0{yM{=J60m2;pB=PzcevX{tf z982h3^$Y4=7nW5iODdDoB2kpDd^rZ?rKW`n%Hjfrj9*7>GBd9<$y6U=Hs-fYKiad# zX$60L6^8d8=T<#MN!N!mfO3K9oTnPQ%=91KOAFjpg#>=YG)##;z#Q$SoEs>Irar~1 zVh8=^`_jXg)x^zzrXcZ%DSb&u&=-VGh^i{q#PNqBdR>*FYS`${D{>G9g-m-00`~UA+o$5 z$&rHqw!Z6s)B8=djyHTWL0%tAtIN0ak|WIh2fvk}a2*vc6lL73LQ0`F-ql0*w#{3B zF0+TYmUk__C-fmIzrLam)>orn;#@b!7rsE9cRS7qw7EK^P0+zk)m-^dt&|TM*MWN6 z!FA92iVj_ShB`gz-#(RJjKdvT*JsU&G&(jjzBcab3U!ykmr0Nbcu-B3=@>c4Ox$~) zJriuYbV6rJLT^telQKlIVn@8cC9(bv(uP2r>X-rx_jS+G7=UQx*Fc2FZb#2daK&#P zQIPOG0eY)dtzV?9s}F?d41fnFWhCPng9po>2oH8h93JeDM0n_0{~Mm)bZ?he_2TD! zjx+j|k7gB`J&~RlNJJAwSi5CA{bQ0-)?F!$>v!HI^V~0g%>TdJz74rj!Pm79c=g^N zhu3j>TJ~%&EV3Ox=B*bFRTW?upazcYy%%QBf))? zon$7&W;XIH_CqeFD8_~RE!|Q)O&7=)Yd*qh$TL%l3*wy)i#N8oq{tGOt4NR^#3ddQ zTCZ8j{trpRBDLk&^zKeo(uYCW^*r%w0nww1uiKK6z}HQN!YIB@F?lh@E=9@?VI~L> z=wvyB_mfFXcgV)h7an)Byf1WAeT#06jLbc1YZM6Q-fH>n+c;y97r~IV!%!h>;#X`X zz!qc=ohC*8R*itK<85dD!I*`IvE0uo4X+Z#ox6Uc7U~SwP(fUbFf4_&A>6-xXX&hWh+4$EbX)8{1WaY4{Tv!G`&IYs4}u|V^}OMfrE6gz zbjaWFx>M_ir1y};7aGYkRcTVFOSD$1e4M**HjUq*?yLCHB|ikm1!DwXAFv)D-GNNPJ_7(hr9*;SS~T<~I=&(Vw(h!QAqdkaOvtPzn7=BIHc;ya+7br1bx6qpV$uIo7GpbG9TbsvYICh(*F~h8j;fiLMqSYC-Yo3 z95+d5AEBsa%Dc>Z_~=-sv^~Qd{?(mgv9&u@)VIDVzt0!q3{-V#J;e>)r2s>kM=Whs zos)fRm0JdwUS={cRr^&pRS${!yWLHdP<4|u@vc4j-*jT+z^?sXLbD0=ZF+1cK#X>a zgL|rIxcrrCh^slV0)>HIeibD1rr0udl`M8Y4Sd}}MtN7~He4Y^3Q53c!E+%*foB?>vJ?BkFQM6;i<(s;f^$TUE{q$I4deSG0x5iq^? zV=3u_KUfX@yNHwEIZ|GTwucv^A<@~E?`yjp2IO)Ux65;)*%zq_XQzf2r*qdugvsZdJ^l~gC)!oq6t0lK0R*tWHLQ8 zIG)Y%X?gzcpehql?N(d-OW?QEYVJQ)&pm82X%m6UVe3~A47Iqi8C;u!gc zkn+~=`;6wHI2oKB?iZOc-An(i#E+Et(8*pC?K^!^UecBlc8my^voiuBJ_vI?u5F%& z$?}ICos^vyb}Wqh3NSCD3XH{14Lfd*$Ct#$#Fi7;0*d(f=t=mGAN7ZSx{@#r!oZ4% zb+qbXlP3Y#)2twXJ%%Npy2;xgOWv}Az>=Z?7;#Wy1S2|B5;*vNhsIj!`nC9w{puZ3 z&I?MNAHgdiJ=dJhghJ?$ybfJ8zt?tpTiP04o|i{DaXuhjVYKJ2ae3zP9t2 z;_V)2gk_3LR^<5w`D_8ik)L`LD0aR~t0{LA*_pE1NTuSAccW6o8-dFuBx^*det zev4nb4VD`nlXjBiaH-!rDnMA=nd1CS-?-+#8Ru5{F*56BkehFEpD# zA!mkipc4qEZ)WfVX4z_U@k*Z=To$>9hm@ow)DWa3m80;$rm3uE?e1GT%nrgC_5b_# zPmI8-5#yZ|A!~mv_H*@6hfJ?LMvD zmj~pVFxjf_J?-ACUAx?U1N`sla*k=&7!d!UF8{aMJ*4A*rTu%f+iAyZ_g?MZq0{fw z{vF!AO}o$A?tpr4m}2$gC))LCcY=0DX*XHB-_!0%+O_+8w=UPG-I>}wSG!r-{V(m_ zuiazX{hoH;(eA6-eMq~PYS*r>S^KwWcfEGg2BaIO;p{Z+y0rU+JY~vXx%OYG-A3(h z*6t6rd#`qXuibsx?b7Z{?e^(%?RMVshop_HcZThHp0)fX16(_OvJSWX|0=g+cCu4^4;pJ?S0t^F0srJRWc#4oBSE0=T=_*cfiyfIBOar4%gOu1 z%IDMWO6_jZ?k??iYd7OlD}9M}*J^jCcI|q09<$Qz)^0?*IiKnJw7XHeyR{q9ZqDCz zI_+-JZo78-w43)2E8R-%-mBe+c0I?f_)6{W&~CeS`?Tx%+)B4hyZ36>9;eEv6~9`$ zTeQ1VyInfH=L?-qyY1S|7?3V>@tB%R7_8>n#w+s1)Qt0l#(6Fu=UF|@vr-}aY8`*M zc2{b5LI@hsz`vThIvMLV&DMxFw$xu0nsDjzX3v-={x>cQg*@Z=e?g)649j14g=c)z z%H@rz*0gAC*k*a&cZL%C8VjXuUWMsA+eQu>C%5P{XbQ9 ztSRw&<83Jo1R(PZ7FKwcF0H8z)itfI4dpTR(7}er=CRVW+PbFNe(j0pkyzaWQe4%r zs>b7q$9fpX%W9j;SFNsH$mllZ)iktR%AlS-&hyWGjV=1}QY)6%U;eKzRoYs1Wy`9% ze|cN~^`%N%=QK24(NeekpB>t-8_@rq;`CH1L|;{p(fWUWZZ&R-W9L%qpjCoutS(Ge z*Aqiolm`n|YvqZln^^i2LemDR(zAA~=lcrQ8*7_e8tXlI!VeIb?~#x3YsZfDz=Y_) z@v*=n&$Z+_p{*wrH*rD%`Gs{@OYai$B=lsEOjEv7@SSPr7EU_%JJTjlop$cI6Q@lo zgfuN5q@aYp#|whQFDRQc2Y*G`!k~ng`^zQC#ccTIsdNh#FPu%f^A~#q{)#Gs zNaJ1TmBiL}1zFYJQTZ2?SNIpqH!faSCftW{ajAdKoWe-(zE~m`%ET3Ui_=9Ek zo^)Zwf`Ej3wJYDV7X-_xQs-v>T6SKrY`#?sBN8ZM_d9>VeASK%W*f$N{F}XCKEH^8 zy^C~fBwt1O0{?uqSDq7CaG}J{shDI0Cy}0?MP;*%AX{u7HI;g+jIzZ6W8u6h#=-@Q zNI}}g0o69?m+~)I7+f6i8fE7%_De)5|IX(hLuV|k#f2H3vx2@{C3Y;>$Jf>qBl9G4 zdWn%Xrb$t{G(EA4gh}TwZPwzzJRx?j_73Ms?NtTLr3m?#4j`iF}Z=QLVId9f5yTAILFVi~F(3H1y7eN}v# z4UtyU(#{JknB}Es32l;&qzT}CRXGBXUlq@QDh$v=kj79IG{vhK&}>7;Sp8L)VPzyA z11;;0HN*p!6~pq!$h`K)*w%!2MJ5yCZ8BobTfCh9;bo1D4UL}31rt4a%?%BnE0)(^ z?Fq4^S{`CyMpk3TPqN}y)UNTYs$bpG>{-=ZdqqNgp(k%u{Z-5B*b!V_d-a-z#u`h` zW9Oe7kFRgJqPB5W$V2LuS}PSYBHfNDp1j7|6}64E^`Tl%bAw0ive-n`cp5JKUTvs( zVES_@m)*-{%j-NXEbdBKW(yH2~SeE5YO{*@G7A>zAhLGBtRyEY?hS~Y1#oHyj#uF0i zbQ23ac@3+Z$?vIe@YFTbUq&06T2{+utX77wys;r971UqmVG8xwuaK=OFf%NT6CT4j zhkrsFZ1Ss65x<}~jv=Tmu7wJuvq-tf0#*DRe`T4_m2ZNNR=Z|5u-%3KsDWpL?ex^i zHg*hiumYas5>FEoL6g5ro_IgTdxVuE-V|<5UeVCVJYBVXRo!xSl~(dt`bnf` z1g-tNrv_Hpqee-_vTjvvjZPj*FZ^_qJUR~3;yv6EX zQ%hZQld5q*zA63k3Cwx^seI?2n6Ll*52)umq!$Dh1eLX)AqRy8uHqotL>_CtrW8y~ zNH09X*QKA3L zE8*Gycy^VTn~ySj<#XA|QQ7Rck7U)v0?aXF0Fz`uW@ zJUhz;a5_RMCrv;`Vh0X%b$MQh+w#k5Jr@Y`LbdiN1XtCsx}xQZ6T_FU9W;F5a+Z3* zXI+q8&h+Wikw1g|tfMn$&NRdySOtC7e%Q=&VHaf|XQk8awDU{2NR7@WfWjukpTZM{3XcS)o4o_)CQ$LbOhnC zJhPV9Er$#Iu5>+iGB)FD{_OVo>sP6DNlN;z)xa?mCry}Q?_*RA{`wVl4Qq5XgE26E zK}&N&f)nEx${JgXTuJ@)i=V?HRmXuttacgff#ok01h=av!T1SN>;e9oZq7)fqm7qx zZc=Ua_^eqsyY9Mkf6*luKyleV*w-&sy?dr0bzF$9d$A^EqW@g{YH@E!m*jqC{ z(C*#e`un_y@mu;;-&W6~+4=OI07 zzkg%%&x$K^4nBP(?Z1i()!%>X@*XH2^YDfx>pLIN<@|x`RPxteJkhncz_qu%c<;w~ z)!X+xrsEG3KV>N@>2zJi=REns>b6ZsijS0?a!K=%BgJKfr$6|UJD=9|JX1V!>jU>6 zzU$fIe>g9=!{7e0&evW1vsKR?nEvpaRy&@1tN0qjJpT7Hdy31;7FPTN*XmbK@u>Y* z^8dTK-gk@t<8OZce_xl=S3H*1eVo@<+^7G{3X(} zU0L^jod4L6l1*3cb-(+Qp(R%Nu98<@k-v16#xOFpn^j_sS5}F6dgD(|?mDw%$HM97 zF8tY9IzG2#vwP;T?$$9SZ+UKgdica|>+ph-FP>f7^R4rzm(*2FDZFQmw?vKG%d@Tc z)W(v~dl$``nHskICEG3c*j*)aWEdxYqWoPW7I_W+x<-V&dfp$k+Pm&t_^3lYr~uE+Tk|5+3;k$HeA`R4Og~n z!RrGtIJ4o&c5OJaT^oLE*M=9{r3?IZ>v`=ie#d$Ay#M^wTg8{&_59@br@kJ8BULZ( zWW$N=TKSK~;6nMg-cgeCtwqkC-kefm!-ehI@L{_)oY<}n54LN=h3#7P_38TZN}Q83 z&z=5owAhA={_*omKL5erUi#CfXDm2(HI>-$KY9N@AD@@LuH@V+%-di1?|Cy-IPjvt zeqEIXpQC?jrT5%txj7$~pnS4nz(3JPkudq&V3ludOmO8p_D|EDM{QTr84YK*KdR|T z%+++@QQOsY;8EMvbl_3j)%ezKyBd$$ZCB${yX}?;F#jL;OD(bVcm@_-`KER5zEZmb z;}vq95cq#CAaB^Gqyvx%=uYcXvX2kc1dH)R(+5d1DD}8OL`Wt_Ros>mKBIanLoxYp^kt`*WNFzT&3&m zAEwfE^$U|5-iC3sf0#d3g)-UWLRrkuounH^PYQjX#dxGSxu+jlnR#{~{|-Dq*`vk!G#culBQ(jfk|h*7DywKG}F#>apfnoday1 zkZfed!wRM7+Xzd5g~<{o`iY+miRBe=g40MgN(5%~Frq7Hc%a-9E^V^7{T<21%8~e2 z>jb-!jb&t;(Ad-%$}N~EMJyw1qx8!PQ*Dy)|NHmiR4N2Czg|RTAFcM^DyJInpESoilN47lZP0mO**+d zsXWanuShjU)}$FDCl515PIC99cMo5kl$B~^)eJMTh|8Kh)X18Yu{z1^Fx=#GPa-}o z*+`o-q~O#ksYdQ?j^uA7Wjcm*J65MGOD-4M>+#U1SuSJN7H9IbwL_98t{j>?c5;p* z=iZd$)W2moc6`GyUgzIiy6uVnBR5-7lQi_SSeadvne8yLo6}EAo$NZT zfKFHOuf$FNQ^EPShMXq;_57=lFvet{KQT{|o4(WxjrU3FU6@>OrZd@aGTtTQ4dYWp zKf82UiT+c$XEiM8TSjt$wbpo&m`fS6#*Ds`x?SyQtA{O1Egx!?wKB!n0rfbWm7~vY z>$4-2eQJC5vj(A zis8nH$!W%jNhh_tRu5mM%KqChV`Dk%B?qX-rEDqdtyJajAS@%(8ViX}^!LjnJDS1D zA*_56bhDy=+2X&6e|5U-f&PAZblHhvNuylGD8_0OI5!IX9JMf~@8s^Rt`Y6v#OW^M z^yYNq^cr0Hdpi9+ec@?+Io&6Botit;7*TT}V{m~nBB{a{zS@G79W?*c)18JZX=;+Q z59rn~v}+jfEpXgCGif72h`abVY6RmUVHGoy#6Ni@|0L}6WaIR=iu;EF?}_;oZJ7mJ zo|I&qbSbXj@BPD9r!5;+aHb>Ka8zU%8|w^XJO6g5dK}=;FvIa|nhLv>@H-{^%pt~^ z`-U4Q0msh2r5Y0c?JMYu#8GE|Kb@ltDKnN|+J)b)Cn+<@$h?mBVAXlp2xnJHxyHGg zAx3u-d(~#c@QkEvY46`KBG)`rg-s%SoP?)4jP$pX4ClU7L&BExuSCMBXP{roisd6d zvHVm2-}cT1IIiltCM6)0s{?6U`j`&pq#cz5DLFU+;hKZdfh_)^YL8dM9$C*9~KSCKjY}*fW?Rh(G0&z{arv4Y~+=~&1({9`=Ss|w`RB2lJ ze4CHU;O!!>BSl4|708jm^nmzd_lURVe%rq84mkUIjr&l4rrQi_x6RgiDXmy8e(Sik zVs?2tdt#xUh4V;L<3IDT<&QmNdFxJCgZ=#c+J|{gZv3X(@+}kJ_m)*@p393oQp9_f zeVRz_;u}6PsbTCkbEWNG`%#fIYSVf%?UVd7xsuKMqxMb6SvQTvZt4y1kr`)cWsa<| z9?9~~=A=9mSz+y028-PCsyUezzFXuaq;^fFydKW-$3C0ot@})t+FwTM^_rG%>$@y< zuNt5oP#a~q)V(MS*B8aFBiQMOIk@q&Swj4>H2o5fl*Byr-#Josoac}9>-(YQLLZ~< zJ3hg^+iB-;uRM6{veds|*K14c)*3JU-U?Ym|GkF(cujRdy1X<;O7UBSEgPE*iIgCA zx{^tQd@s4?)WPGD6?W=iEy*V@VdR@zQ?p{&%wQ-TtYNPBHyLq<1`>wU6*nsNDdx5|0p%ER9EJw#4(>{8^>lmZfFh)I6oOa%wZ0Uc2owSHO4%0ZP^Xh){ zYdmkp(^}t_y3H{5c=Exl+46N>S;svUQ@#bHlU96xlCPW4_9yh=0z8e{I<6i96 z_mgKt_(frba>TyaMt@_(Zw2$@S#tEj)Ls_F64 zIU#$_L7S4T_3b-k9~pGxG2NDTnRqYrq;;H9zR4$><~$N)JWw3-Ngi{AY~~2zzv4Yc zChhRl3H%7xh3kv2VRx@Bwo`uC7u#rqjd+*jKU&Uj8JD{0SG^|k`$%Y=mIHBNUu=`b zZnqwVzbo=VWWKGY-BtJ9$Vodc=ep@O!?<%5XWUF!NsII$({5PPZ3TQ1ppFNqI|1r= zpt@*wb(%5cUFXSN=d$FEnPt+!SO9FX(tO62^S zVmbe9oFTxR!NZ(Ee#m+m(qHD(Dbvj~PYU|7#rvwKs(i0s_9nAr z$IvplaKIxKtvRx8x=@N@t0lL&z#d=5e=IVAoN?na-In$_ts*(AGjlGF^#4pG>*tJ_ z);npNZhKA?GGl+?vwdhb2j-|CZTLg z29Prvht{n+kL|WN`S}euUcGL*7lqOB1@Q^-31MYvoOXZiUSD#}+L0$ac!m``!xElf zA@jYwG;_T$^Uq?h6wmn?gO$>E2e{u7spZtE+mTl05aoFu$aL@r?fm<@~u3Jv1Zy6a>qqH5~q#KwLHzMt^W0_LnBXVcwL7$?X$c!eoJkS zooC5uH{PXgGhAsfTUJ^33M2CHd^$Yt^1K|$n`8VH8x&6se%m_aC%NFa z8OADG#=3+@JeM&p4e*YUo}V;4ck=A)_rW8f-IjDA=9tg4*=;NH5nXR`!sJMFzacodol4|NWAOM1Zd|10scbpr4#F9@9@$K;f?pN#8oX>VoU^}Qb+6ukC;MVtOg)9n(AJgruZ?dk* z`ehko$Fgc;e5h$qN5?)(oXC8CN}W^pw~^Csx=Y<=7<&%!k|$-)A#}}jZn>25-WE|O z^O-037`N)0a_wW(lQ`dSE1i2;>}I?{IQ#u2oHM`3WxTOCoIU@IcGSe~r3^XQZ46MR!fo^`{U zZmXQ<${eqpw99#i%8#s{U6(FRl}xOO@+!0DX~_z$>-zq8+uuv73g*{#Sl6Lkb!{ii zcWj=VJUeE|hA&$7H))*mG4uxvx7%ig3heI%&X`EU(yGdz(`_5>}jKk5hp0VVZ z>&`_lMl#pcU1D5cp?xxQ68AU zT)AZ+Pa@~CrG6$y4o@wY{e3H$zpaw$x$`AB9b`SNoHne2v^Pj}f;#b{B~xzNrrRpW zW{tW?*QnDuRixEfB%RD*+L-rT-@I1d#T@8z<~HwOZd1cIrH!X`{6r?mDAvEbEAn;Jn*TeIW@q zJNDKv*N+jrr>nQSDU(HaTbBBQdu?Y*w*#o#Vf(Ar(|C++YJIvDDC6vc)SGceV&*;d zL}D6KCPAEw@@u>2OKZV3pIJ-`IkdNc9JCYF9Wn2V|=!MLv5!$iKg zU~yVE`D4eTF={+~DIZ(#qkGdN;kb3fL@%ua`A`&~)*b}q2 zSc!al*&%jk9pcObb`S35m}A+e9p1sl&SpA?=he4vw%yy@tUG!|{=_=a9f`R9L`*nen;lQF3kHjy>8cC$ZUHCy#cL&LrXcY9n@ zL#v%WJ~m?L%YI;*16uY1p|k!nC+yJ|Hbru^xF?x+AynG(}G6J;u6j=Jzb^`|gQ$$|qFo zY>M6r*OoNeAaz>ZJnUx5zlEPVY?r&Gr6&@(nJ_JO1?Fe5^d1_U<($h zXrx|#18nQ$mx-l?J?Kr+XXl|wZgf&6506T$BgzhMfmur_wrPLeA(t-b4H4pPpaX88 z|K(zX9y}Hhilnop?WW%DNCUe|ySr{_Xzad;GZl6?A=%>E_JR3Jk>`P_= zW|5Ds&InbaA*NfD*-oPqoiGllM3tQ|r_|WZ#=H;b%)NxDCtsFem@tb^cfSWck zrkC$}j>OvcHAXpUDYB0};xM7*O|>2B>bki%dcfUkxxbT*mm>eBSFUaAjxl_^rqiim zf02Dnr}M%z@9%4h*c;~$*pCs$SoYPC*sr}@u5atU-fj*SuwQe1#h=QqqjIoOYyP!{ zH?-`^9`|ML>OR05PhLZMpa75hde3`%Bi*-#BHiq=H2Pu&^|B3eytvCh-F-_KBLJEe(emuxvtW z&0+&m2VD%gSnp!k#a0(%F7~@P z=;DxzaThb07;?|`Jn3TG#m8OD_&a=+qy2B^k9{irT1JB|o>-Evr0agl#jz#V>sxWT%2?)66t&4|T%;Y zUGbeI@H5eC!Pof2exJqz{*X`ZkE64|B;Q1oW0eB;!>v!Dhrj{k4Rn)ZuiX202Px0| zEF0(0H=|3r$OVXUy{f?L5arh^-hn8uUQsS0Z|WbcLi*J|m_i2875`w16Hgf2wUuuU z*i8<-a_g_!&b}t>iq+NZQB^fd*Cyno4j`AyZ6!lO<`BO zgZ1CD=q5kiGf7F^#>{?UVAFEW5`a>Pyk zxbny|d~?NElsw~K@iAl?U9q5t&qL^nM-VT(>@fH`5EC2iD5Ar_XM{)c%>Iu5y{kOB{0}iyw**5vy%Im)2 zL)2mXC`OTbbj6cMD|#Hfzn{9O@qo8|n7pAYrapo{bj7!jadeYct(@%)N899JZ~Can zAAXGI3rAV87b!zmyzy@CA3Y3aIM*g$+T>Cz$NFFI~7yW$C?4_$F`lyXK-fq(Zo$`(Bh?)p6RYIKu_ zZ1RnjhkP&M4P@DvL@z^EdeweHGdmy5cR!G`iyLuHEDcD~I?qh``HLd=4o>p8!Ab0&Oh1$@?`q z!O9iB`|Fe;eiZ*4X+>B3Yorg|K}d-k07Vf6(h(Qbj3d8EV|;F zm&hkv*dX}NFT-m`H@UbbPgnW6qpy-T{3yPTM9~$0g!H4Ed|c(}2F_5=u`AXfbI#UCK2(G`D$oI#f~@gd6NQQY}G$`)O* z^B>7Ke9|cRgEuK#beR$P`CGIj=)pPm?IEpd|KS3c^$PUQ{Rj0EyW*#QOuFbMCsnzs zy+0#)?25`i^~2vZd8o=y{rWE`AMA?XL~7Af;1?{uVWOLyQIk)qywXX&jo*bI#n+H$ z(G~Y*!=*qsd7&m}RJo&XBIod<_#-3_uBPHokTP_|lglmHg05Htx8@MK$=ftJoyzxo zZ=NNO<45t1m6kk@uJ|I7LRVY`-zAN%cnhNTesJSzzQs~jRbWLCJRUfZCSOx|oX6Mj z%@(_2Z!zDa(fh$D9L+j(#aEDK^c0xkZ7OE?nu>R?gL{J?#aEG&=xOlw^?WC0tZ4Eq zhp}ZinToL>oHYC^9!KWT75@|Q1gR(G3w%rEUGCaI8Ddww204gsawnBj`NSsf0lVT$ z$RK(OOkF^JR0lU#!qp*fCQnlNlaufvC-I{=gQU?-exk`;G`Ww;iBz8B7PyBd-%)vx zpG4}hD?Wy_qbpWHBD)P;aTjtQy2(*A`HRY9++WQ-;79T74me5Zia$Z-&`s{4$xBqe z;+>aJ=PGFb!GGFGxuGl0A@%6`t-lXxMc427`FzLMzFxoQ-|~A-S?M?a6@255;m71C zDu3~N$X(bKe}D|3EBD|;ty2$`Z}9kKPJK{5!t(u=-5#3UMddV>AFyPcu!`G}SJ0K0 z@L{+I`n;68@DGUQ&Ey=K+(qRyejE`vfr@dY2wm|NWFxxbcaYuaiZe(E-Q*oAUvUx% zV^{opq#s@Jp%C>7-Q*K04{`3jhsGh!^gi;;l#-`XG4w z)jTise(*pY&rAJ)zH8vmqno@y`#Gu@gz6N5MN9$Pc>7>r=kpP$P94yW%Jk z*hJe1o<%mJoBTcH@jcW+`+!|BiA2>uc=1h?3A)L_Q!d`$ew6kTdm6m-W4z<)2h4Ek z6o($6ZopA9Id3LMPPuaTe~R+QkK&t;QuojmpE=3>qAR|L456n$<+df!O^%z%e^Xvu z`C~j6{3u?EoJCjMjr?W7&E^Haz znc~;JMqKz&d=(i-S9~3rL{Eb^O*nPWQYYd_5nLEluY^MAbm7}P-qVfz?S5*Gs47%bJQbySS zAAh_bWEAONoL}XVG3WagcDBdML9XdJFt<~Mm;UX3XJ1EqkS~dPa^{{&e)gj>$eG<; z&3vBRQ+Z9@fvr0$gM3r!Y;NRK>&TwUTO&P{@BIChzTF&&80k3Leru2jI(zn1^0O=N z=+OgL8+*2Pv^8~i^>nqww(YvEhCdrqg58c_v~dqP_${&RsIbEkk}qJrd5v|j`2y})^&5FyE53@wzo+S?cP(_(#UTqRR*`s$FqCeuTN$7wncf`y>0&H z2)=t;rrdBWeHg#Wou+TXUVkcls`XU#RNtwAQ|VJPr_xW%JTd#kxhG`QJL(?|j0Q(H zk5-ND9IYKaI2szQ9}SPTjz&iZMh8cSM&qN&(Xr9-(TUN?(bVYF=Y+TqY}{cw0VI@~whKRh@*G#nouAD$Ra4NncHhi8Uohh@Y&;vWf&Y#yl^**Q`> x5*}$CiH`J*^p6aT42}$q#7B}N6C;x&sgbFX^vKM}?8vzhIpt-gsoJX5wzjs`wzgGYivbjJ0TMtVU_}rGyiW{BK!pIpe808NnMnfZt8abY@Be?k zFVAx_XW!Odd+oK?UVH7e_bIz-kuAYyv)Oqf5u2@!U->Ih|G)WPQk>1!Z_v_ywwHRp zenwrK_w_R-&AjEVtXZ?~ym|I@w`cjTyW@^KE3&S?F>AK}j;vem$Z}tDdDiWB-f-ja zl$1W%7U-w1d1&k>qrP%RpU>QPI@<{EUwS0{1N9q8e_#D}rteX|2h$}z!FweABYp=h zJCgn(zn_dc;;dESFVgp^->=d?R=){O^Y^FP(SKK(Kg0ux2ER?0~Ry(3avH&}L_6^rnTxYY5pGvGCcoo0@=C|8l z32Zdn%w~JaMM8;1li~b!`zx{8>W9xVGpaVyR$Dq5&O0t&$?(~C&GwO`Xaa3)l4b0P z^4)mbon#am+3Kx)`f>S2lluSZKW%YbX@0$KY%DceUCR&vw(9zdp*P*64XRdj(U!O9 zq08d5#qq9$7FW?acW8cGBoc9JqZ>*STC3~*+e?jgb@QvLs$2)&Z}>FvmPUc$&TUn3 zWFcC;O4?d8ZDVQf+A*QzI9J1aNeAAG70PX?`_Y|ad%1JBmiFE1I`DzZSeLtYV_U-7 zhPFPptl5w#V7I!Arl!}r{plgcnpyF-Sezc5l%47gy0bI9L2q`}r^ZY+v0OESco1Lde)>PdaXVXKT zIRAccXj*nw{wA|{tbbhEVtfAu_B81vdZWV?si(5J&$=S?8z9_4$D0?#+ak^}3~1e` zRk-T;uZ07DB0PVkG^R<=TVHi>xKk^o`!eDEdXKHv6|X{j1f? zAn}`P@8XZI>)*E10755glk4f?eFgAhx6Xa$>8{T0HduINH0Xx2k^C@e)A{i>SJB4% zvtiAriP8qybYJ6WZFzEP)xj)(dZaPve3W?d%>5WC5m>1=N&YWFt}S|ST6VcNctduH zH#B&0dn6L*JYRdDUeN@ktL>?$*laGNwz}hFIw0Y-$a~9RHCtObGI*KD;Wm-l%Va8Q z8^xO|mBbMQkhS{A!ueOvEb#c&>Nha zo#zb|OS%#e3o;9Ng{u3+!=ap%Re@dm@d%uKcrZ6o?)ZSzDUFUk~1vJw*qRnL+2v`LIsS{tAEoZV@fo z@_zY|i1Y8S#qpZ*TM~^e5$A6S7H#nlziE-S+rk|YSLdA1tPRFxTwbwhABpsAOCg@bNc>KJy<&q*hDDOl zH&yyQLx`N^x{^_sWsJ<vmr8+J-R}Hk1r1pM+LrMPLhU0dj{uq0>hOr@-5Av5=b$rkw_;w1u)KUCR zb?CtjjBXr5(z`?kC%EC{Qf#hI9c;AsoM732n!V%{e%`~^B zzM{lEvUn1xx`TxlHNC+(NjxYmb29w7dT^HNmSAD~Go=j6@fNvWGRyn>H9OKME`6I{ z-+m6zdVM{#cNH|FquJJ*{JODPr~*NzK@dn&uBdXYYx=b@^(ji9+k|y1va=L{)HEAz zq`@X-J8QO8+%Mt+{UC5SzT)oCgd@`WYs`#~lhJB;N5pv;F)IxpF>=^62zx>v^j{dv zP@o}$@I-J{1|s5*?LTOCWK%{O+YVD_NXN)~UuyODj-(_Kp&QN8Ao^N0t-|cxM=| zs@`0Z0T$G(33R(2bOA(oE|@43jnyqeL2{gTxv&{LCiO~$Bm7acaus?@h1Nx!n^!?B zK!~Pk{*_#DC5)ca^?al8v!R zk!I5Mpc{Zgi7I0}oor0ByCRz<1%wnTX(UCOU0O~Y6Z_noY^2UI4jR&A0a5|(6z z|3BdWJVJ<}s9UZNiE z5w&N9NsnKQQ;Vm3sAw@4N){he zOu8`q7Ouuql%uE_?o{`#2VAk^lO@~8ECW3<#~c+>(cIE^I|OKfz)G;fzfF{pm58yn$vTR%ehwH}>Uk(-Fcm2`peq zk4-`e=Mv^fCYf@x^oE^%^w2M} zn#qySqUUbxT0dgnSzss8BTDugM##$y!HtDM=Ayqc^uf>Hipd7T8lQbHZLd zYw_i03C*!Tm3_?<%P;m--kVlao|`MCeB6 zMB+i=CXZIxYIRF^`0hxg?IiLVm)NC)>9O$7u>waso7GotYmfQ(nEnQ^$ri#XA;lol zO*k_%$K5!wUu8?C%BMeFE9z(_n)@+a)Gxz47@*lFYx*cygLNmW#0?D zH<(w$rwhFJ?*-n&0&o2%z%y-r|1tdpUZudhUMZ3PDZKsyZ@9oa>3f0q2IklB_K$(r zsC3f*6u*ZB-a>&l`xto9DMx7{J?EFu7;N@3@%UQwhWGkJm5_wB7_Lq@zc4ReNJUW!Jc5Sf-=d@jF*%j9=Ou;*;_4;N%%P0_-OLfnK7?7MB0JTxr#K%XcgU5X`#SW% z$6x8jRY_iBOzQZMy_eV>^`bEuv+vQ3zGC-C(+wAeT^M;1^x){E_K8*tHop{WL1)C- zLP$rop#|l1am567EQTsP=TI6Gk%fKe0kch*UxI!0;P@on7*FM{R8Po`F@|5G-ZBPa zDVFA4OY?Z8Rm})tA%K`|y4!3Ny)h_vUL0@B-*%&J*auG`BUZx_J(#&XQ>c}>M}Ca- zmO2SthTU5A+(4KKA5HXMD*u!1?JkSS8nIAD)Zk2pX2FPiN0X6q^w zeLP9ho$HT{_N(ZZkBvTEML!jbMtcS?$F(Xtcx-fzik?k$U~YEF4PK}ebeu(`_TYRe zXryc&h~57Uy3DoYOQerWb8lo{wWI=iIQB`}Iy#5gHSDpLR9r&rlgGu5BzF68v1bwc z>~XOvWi|Ci695|^M~NQd-%_MJ;~tV=z`=?Ya{PitqgWPf;otl-&SsE@z1bQM9m!T! z5-^uaqFCI^T}#V(4Q8H9Y%uey)8zj|^)C6?A5bxcyt|9mYPHghrG^p=G(PBMJI3%P z4Gpx#RSc1T1F>%UT}Db@3V{Ffl#Vn6Qv_~%X2kKN{GMr~Jj*Z1k6X#|tNYdj(-+8o zuu4lAX2H%Au&RPV0-Md_ze%b3pyO#(iWQmT_q?@dMI0mL_e{f4X5}c2<+zzQ6MSz; zYb;BUy&i4h1*}+&;%kUYD2|*eTYZ^c73jr(cS7bT5|@zq6+c?d>oi_b4pPh=A?=?K zZz~I3Rvu{_Z@AMs#s}SLokY(jdNdL5j3#0yP5LFpWozj*Bjq2w22-BnKdqUY3-Yh= z?lv0OSo}F}-rQC_RBmTI>oV*o1>;#>+C71AoWH|JSxma&n8N>{W1{>|d5Zr6Cm%RZ z@@~SpkT(m?OyuC~o3Fx++W>NZ;4M!g7r{V_e1Tm|5#$J09rYm7-P zIW?O?6XHs>(nhUxow3!$zL^Y4vkW`EmFrwZ2W1zbyrOTN>@*@U@~&=j7i}Z_RV-{c zZomS^=8XT0rD4UC^)6#g__UGYLr`%R1iN8?wDcmCE8ag)5nZw@xLUIK`_>)l2J8tk zk90iFf33{%kd#!SBD^i%%6zmdbIM{oTMXw*{7={zOc^1$Q~oNUwL$0Egn}tK{7*>v zHF1IBfAXKG0Yp{w4PSU(v_(qT)3Pq>hO&pu-zEMHkgPQYl9?V4S;Pd2ZxTQiqXWgS zLrh!6NpQ(4LRLh5uZYw04<>H>B!r!yz-i3ozg>)&6N^Q766Ou_ZRtdjiaCNAwCfxG zNg;#Vk)guzen)uiRVW&RX*JL<$`Gk6@KYkrzW^WMdp2<-T`fOm!Xh)lV&M&R#&O z{J8>$>{{(tym^fs9=uwT%W}7ug~q0q8f!fbZSkW+Lqh^-VrZ25Rq9S`y`%facCs^^ zrHAfD=}E7mTOS`ss}eTphPO3iLeQImD(0w>I3lt$IASk!!A^Pb>ShU*;})V{Vz(IPA$i zdP&HB)Sdh0C86Y3N<&xSGay^vNo64qCKJ`bIy?=c4fF)Pg-A2UA0^IeV5c{Co4-XH zQh_cIs?M&0cuURMr&dutIss+T%k2CO`U}QO!|ae!nS$Pg+=$q}J4I9-rsJAS4w|f zMt|KN?XR}d9?dyV`s+=JGn+G>{wj_3*Q>|mmHzrmx4iUMX|%t7aZFz6ulu{@rN2s} z{dMCpd8NND?UuKzzeZ6+vvBl1nIMnOLKR)B26A&JUvFQ zT^8-N_-<8<4|+A}wa?tKW_rwCWBwQ;#5Sp1v~KQ%6*Bc}llQ~&ZY8$bD1;TdA~Cfh z8=G5gb`=@u#~1n_1f4zz{(OA`=qXEn5d7F zkL>L+f3N5-sJ-nfYMIv?NtgWs#`*Dv<2j;zuh&RzBj7W+~;mv64MXOP*YzB+C3<&(c7*F>FLZyzNG>k*zdX zZOE)=wIOpJ({c{7<5YYD4ZXw|v5Q^3k_EbtiMmBR*^*%8C0nGpHpH7fga4DV%dz@z z938ZuO9xy-v57`=P@j$=ZjBr`#@{F?3><(|j=VhVm zle`HZj1G;c5jY~zqWg~?)cx_H^!{a`yR*td^LTE+Gsf`t+UW_7?~qgvHhkT1$9FJ{ z`=}TON_;2Do!yh!bwLZUhbK^<)b1=gI(O^@!@kRFtSK`FLJLvUjkj_)M;Zl)$St7SIz7gq#y6IaUpWcb~M&lK_ ztmKkmobj#1?~*txyoInuYn8r}@E6_E!yakMi>{(=^KQ^X_T54U6tlm}5~)2~ghg2l z(IpZoC@OS7OHr+qQ4mVUTeJz0G7^VBkB@DR%b=eih7>Uo>r`sy2eDybq%3D;H^CUV z3&yRvk`}Kpwf`pe_E^&m@)~Qyr?6qfq`U=JGsU>NF>EF8=FBVlvTlqTjGVo7b*J5wN#dDV^l{N)SI$ zYP`p%8g-(y(QsO07Nyaq>*4fcA$S7q@ZlUaZSK<^yc4w)qP=TU+x{Cx?bF;vo3+|W zl0>VPN}4pQP7>X@o4p}>jtlnmC7HdHW4Qct8*r@q;i1T2&5mJ4ll!+tt) zS9Y?ivu)5vRy;F3)PeKvbL{OgWU>pjoE^xQ-}FP@&Dkt5c`jC8HQi!V98JH-@q-dRIgn63!bc z%kUT-V=aN!eS8_N4uni!k1-yjj47~?1ZF_Q6De_KSV<#-F41)ukY*k@;xp8+AsqHvDiMbdgn zB05<`m!PYR?}(P@%8gnw{)-;D6&wC4DqH>~jErpgQaHOkOUV|&UilU(^rLuNEWZsZ z7sB=_7SWSLGp5$>8-wsk;(wYwsr`D^OwE)- zdwxjxL>f9NDfK3%mAl858SbP!*|Rs>HoeiTs0(sr}@baE=m7QAo5C^urYx{|13) zJ_F}H$H>eF`o!A+HQZGvD=MX{=*FB>^zja;Cu$1wW!jVpL3bWv)15X$-VlxMw3+h8 zuyd!)k~c<-J8h1<<#>$hv?@wVAWs4dtU#dz7FmH32|Q*6^vXWEu^}8n^AX$ihH#T+ zv*EOMnc(I%^emL4;iy8QAJueXqRy}PhMvrRmg3O$t}y@Z+fu6KjA`NDggX9R{;bFN zKxvuRSbAn%91PUnf`8-6*pmE&`ko+#zURhm8d{Dzk-k?kQuICh9^JRmwIl<|c|#-U z_mA!3av%ayDS~zHm~URC^sO0)^1bMPeMG>XA|TPizE1yB>EB-e`@Dz#w_WLfd(i((L5vm{Z@lq8 z(Esq_78P*4o9+_|YCn70Axx0@!^C(STfZWC29M+26xn|zBBoH4VP6&1&$XnU=q?3t z)Nu+Rsyq5wwax9Bs-KL*eDqyHVAck6Nb-`Vb>9dj>_p{w*i6Iam!6;3_1z&v+u zGg{yo|D6_Sq%@dIB6El+;V z)1pFhoM?i0@!#8DP33Ka;E>n^%^Gx1eq?0vi_G$}e=U=+8h%S;64niSf^N(by=EuD zpuI25JBU*fE+f5HolM}t^aRmC)`y3n;NmpT+c{XYWJ~-*O1M;at*GbKJu>r`c*<+F z^9kt2z#>cERGVageT)+XD46jmm=_6UQ1%juet~FFCQ$}^>7rTw_gbaS&M(G19k+T< zps~EW%I7Z1Oa+O`2Sp1(jwgzegvyW@Rg$(I5G6^&p|lD#wVb)xvoJil#R!#yK7t8d z)SMm)lF{70A*LCbFXHOYcCZ{>z`$-A#5e%T?#suKICC|RrgZ9=(zLD7@wuI?BKzDM zVl$3zyisa2j5m@oIi&aVIscc9UB^`M(X&`DD{hd)^PX1bmW5mxLF3{B#aG+ zZEjvz!C?_$apuik?SHcrli~pW%^MM`$m2U4t)(;<-^}DAG?AllmjcH=z=Oew(n)&m zX8#^$qFP$uHntC+2Ar(t0iKck*YccOxX2`YK8HY*&pq_%!n9Fm$7N0F)EC; zpzCI@g8H;#d@fWdAilC zLzEt|*j!>HU%*7I6rYKf1x)wRn;{P?&(zV_#xKi~wO$i~E6vUc0hg@x#&01mS;Zww z9Lv(w(K~zQV@;YmKHM#zS}p#;Rn$?L<)W=c9rLEm|uEilK&O}zboaeORK>pnhGPd>r;7;{*S4>v#m|M)n5e3YoI zlq=MMP3M0d>>3iEoF+q}ZH1}PZ5NU2i%BT2vC3_%H3eU~R+if+n|aoRVaZ-o1~0;; zB2LX0Oo4IC7ZO(Ug}ii|FV_3tbc=N5-@Nl<^>}>SqLsLfM&^rm5pK59+$IqZhJ8qM z#*q1DPoQ{p4uVmuX4AcE@yCvQ>kw&*^Im@B0CzdNjbS;PJfqAQkzKb1h^{4KTq#Rf zKi+50qnawQH%$aX3?j)FMVu24$Vf|hxKo(uAVT(I3dzalnR@7o4A+Vzf}ZBa4$M2= z+#}xHHr3>G-r$9~YiPV5^u4^{?)3l4$^W5cnFCXqNd z-p?A{N_3||!O_gXj`foIO2TVYAMZ~?{kTXs*6O*hGu=RJv?a%LW)3mF#o%wS;45Rg zKEJ7iL=mZ4%^lJJJU?c-iuP8Xs`{R{d0lH$<~*t# zNtLKqHX4)+N*96*dr8S>vx+Lme4pgO7s&sXoLw%LBh52pbI)~++G#A>Ja?~Y6%5^< zWbJ3BwEa*>&=+v0v6I!eggwF^u-*!9Y?kxqk^Sn-Pa+4dF}ksnnN+l|a!ogwJr$-N z{N6;_=oD~3`9l2P#qXO3D}EP0jM$KY-*^5%@q3V;{~^EM@rB~|r@xHyd)xQO?*qUK zmd=auV|RZ4iYCF)Rf?le#PZwB46R?!@=MGd;*S!m;_F%dN8bm_kEKdsdD`?JvApQl zDF?F^zXMD0yAHqKL|ek|trULO=o(a^Z_Dq7<75hWeGTrS`gvYP=MzB3qF#kBn8#=h z%xz&@;iu|tk#V&iVzk{W^`v})_ePAV%uQ^>MhoJY>Qn6-n+#|D=Wt0; z5CVWZx1M_}^aLcdw;`$RYz6KymA7GDv5^w$0ok%>1KB4QbjMi=P;yWtu$zg+*9w@p zLaR>4Bn78_-YI0=c^0;bT-59q8bbzmOHvb+GtKw8f3V>k+`S&jWY}A=@w6yIy16Q&buJK%{W2DrjcO#cF z_6oHSeda2%p$S!e5s+QL&4OM-fs2!%k4eqB05CCf9c~1i;})`#^HL+_+U|f&Q?}{{ zlUloFVF#tWK5tw`Y0a9-V(1bkk}eLqs32jD?h{w17K?&K&XWK=?_`n;$M2-HZ*3R# zj;Dv{&rH*tk5?XCEHF_O^1Mdo(|g6+ZJ*m1{3?DN9%FBrFRYf}s_`D( zp|a2zhQ@9&0qG69*@92ri6MsdUi#l*?k@iZ?1i#66T6Vw<_p@_dd$7{EzI`v-a#6E z2+JJNSxU7jv`1!E zaadR;_8G3FN-}Ki|X16SK(c;T*PKN^2sO?ESTCwPMrM8$Lq6o>WZ@6hDBUJ?hgwQerJ+I{5`8ajg)G*b-3&X)7yZ``Klo%`jkgp}h(Ct45>@^K zUF&lco`&f9+eXQ8`!?m>IGvoGI(WS!z`{-K92}nuIfU2nMv^ z3A1eSc0JP6zDh4TJa^SiizJ>Qxk_DYk#YwV!6;T$mQX()VOA2pW5eY?hpxh8 zx+gkhqQiwIz{R7J!8bZy#xP#4&VrxUnB!%Pj2C%lyo{0YBJYfsF*06Ikd7HI1+glz z2FZ{yt6;PA*zvMPjTaN)k(rm^NAG%7OnClzF%az5u)N=iHhs3o7@Ep1<=HM}#8bMp z;TS9H?SwV%kp+L;jXgWL#T86WHTie~N;C#%;p1|}$NPnk4{NnwQbkWbuDuyP-cB@x z^#UhQyb6bPI5>_m8^Z+-eoJs%-h+cpjo*v0!RH>vK#lS7aPgcJHpUFtDr`KO!V%|) zcE!dY?K0U|s|`@E$4DRU4UIKfc|x+6INIau^csg;%F#kGv^R9m z5gG7WZ6#zdQXa)^#1pzBp{rluY+-9*V_Mx3Wo_(1LwfGNne)N_l)uktzeq;vNFya3 z6kzTc22!ik#;nkd%il6*1(VCA6@lVAaK(qMl3^<&WqoqDnI7hv%|h7}k0wv)#?ThE zs1)WhyfBx~p7XUr@XfT{B8K_g1-N+^VdtbYW$D*s~>C67=PUXlo*S`U#D_x;W+*hd3!?s zI!1Wa06F4(;A6#JC2*NJBt@(EM)vwYj=ygBLh;wTazvnOLe|5ty?i`>P5Godf1UV# z%tO}wm|MeteGY9Ye~sEhK|i7cxeqhqyt-0|6}<*CW<;>~RhxOp%kZ_oN9KwNZ-j{v*R)8V*bMId!GpA%j@Y1q}NooEPu9ZF3)qr%7UDP1HZ43p2wpLm}q8 zjvobal7h(I2RA(pydR`dPdPtO&4}i`C5#5d?}mu;z+997M{m|^axv+g^GB$oG5wgg zG8IU6x7v#Wo$*@DKPW1fmWG`DRZ4BP=)~due}y|jR$%IB(gn_Vl_B#-kjZPTkET*M z+|oUFF1hnJfz~5j{mtq=%e$Np#SW`~i0lI)|G{kD5s{&7`*XC8@ueG}lbJ#!UK5C3W7b0A6P%U1laV zsib$!q_JkwC1%p|DydPD0>uvz5Cs0lZ^gMp+$#|kKjiH}^_Iz-U%mC`?Jo7!n}$`` zxnS)|8q!8TSVx-f7MRVBH;9qHI%KS^{XB%yyC5KkoX()dOXibFh)+G?+x}wpgakGW zpbX*+@{laQoDVv539K4=GF!%u$GDo6-d$+8A6U1Dm0T{j)Xm>jkE0nQt85Ff&5`xI zirFex$#lpoHD=)gUY7`BU@-2YU=p{lO>ORV~JtNs$Je%-3S#HwHKRzFVTf5#!yi!ZP=)`aQYh8>xmc03ER zKr@xtJW$ReTtYaHa5>=;!ZWnRC9{Z=@QeknS#qYLjkS#eC`~Zfg>@Rh3vZGokNGaS zng|Ap%kii;O{A6glenCWlK2dXBMU~5XdIn;g&uq^J4~0nnhJqnpmGjCa7b+9>jF?t zzZ>2mN#RB$wVb*LITry%xd^WdUjrcSCgZSAQSnE}gUWgxFI)jez6Dlog(hY}g35bO zF~Yj=8D{j)tz0J&G*X@fh;h`V4#gC$pF4$X4tw?wXHh`gHL{}DP(QAd-d-i3`hzH{ z;ejzMf8B-U%V^I=iVM(@=CXtXMF%VEKrduf{J7}WA?Hu6;Lla&bcF{PTv=uu=;_}& zz^XsbtY4@8XI`^N6@GGYluD;|)qjBk*?>!a_xe+;3I~|=&$fbnROUy>Y#gQj$;Z|I zIH+N)>@_r@ivWXT2%Hu};Bk1{>ZZk=LV%KP2)s;-YvrUL-0&Ew1h2CY2&&BeqX?J; zh>Z`!F~F)n&#GSt@TYZA0zC1rC;YES^uS0{k>J@hsmr6 za9sV5gPCf7e7E+;>OU=3zqBXXetb1(|1tH~$_yjzClz#}^#@hv{$y5eE{a=CnMHSu zN2q0(2ymODLLgBH@W-`L0{r@=C;@gV0&q%WUAREOT)_e+vf2~iwAS9r#Z=kH!r){R zgItROi4sKQDv^oEePBF@&R;1q)n#7m-KEb2cI7bX<}q^3Q_*q+J=w>N_yQQv#rL3cK1fYs5S;Cwk zf}v#^=qPWtm9uyYtSsy@!s71>6g~CwE9Aa~8C;E-l)uRvoUzjzoVmptoYl&;p)H*0 zV-aR-$<35s@f6sL*f}T^_tmo}mB8I&qT+^coh*ul@J&8O(3Bn0f%R6NaG6TH76>YF zZI8q}5?2Vm%0Fsk@hGynjZd`6A8NJZnFwg_uq@mtFjc67l&?NTULp(DJ%T}PSrQ>@ z|H|~Xq_#JyfmnL}=R_O_E)?lNr z*ELV0NAt9LeOM42>p;ZoJG;yng};>RYX6 zz4g0A%Xxz%aa@wYc}HsZ_>`-2qadPs(WOnF%;}f4pf&Xp?8ejNB1LI_Rm(zAl$9lccBA5j3T z>c>b_v%Q7P3@XPvR5Q_+{4B4%rAA{?d=i%d8jdDHTFxqPn>Mb5J%dHWMTnzuTw19P z8>xdvDAbNeC7wo%%d;|mtTIM3wT~vxT|`+GJ%xHhMeI*=w>|G#4i~C8UL*sS!UQUC zmGIBLPn|0e&wnZ+!!2YjGhP>W{W9ZC-Pk?>lDLbWQ!J=GSZ6igXEuKtz!L?eNp&x; z-J1Ooumt1D3@uZg#R8Q_9md#^+81 z6F@rtK~vHnoSKHl1gZC#v)rDcXv0ToXsE+y_;h3X{ncUaoOUM7rv4)@?Om5|Mx}>nB!rI00 zhZu}u7K}L-j2u! &NPxvMQ8?TpUtq^A?^LW+(ft~>@Y*Mj&13!+Zy`|4e=GCA=) z3nEF)k_1}V%N%`=1M(ikm8Q)k^*7ysNbcQ)rEToNb9C<0D*7X}tZ0?C@D(mEK9=^f zE3bPo2(dqZL-rJJ(W-e@ml-X>;D8z}pp5PCRu!RYLNN-bw-9rciH2(F$trL1-tj(l zF#YBz7MxxTG-Ls|@*j#&h{Fk_F_=cF63$`#FaVSgzokef31NrTs)tLDxRi^0RKC7I zg=L`?RV0d)RS47p9-BA};4vm8F5vw$vM3v4F!^nQ^Cal=)=BsN&C2#H@6A24O|h~i zkyLGElNQQ1Xu3f=*UFZR^MOE|YGn=c?(de>Q`D&~^vYhJFfcdK=y<^j)_T#Ac_SGE z;=fFp_b4wWW8Ifr$7S=xB$^Oy0`aVF5Gh!>p80dewXsv$3_)vt_8RXngHqyt2ZL^M zeXe6JFU%7&$m7nQ=?RTVRk!bWf@8wi7Bh%QQd2Y$JDH|mxE9M>Xbf8lW444(y@gKT z!k%&fw)PTHk_wD&!X&`A63`DyE>}B*8HkM3RIgYTy-1=dZlmB=_|VA4NS^W=mvlrb zC#`VADKz#jk?ndS)8dQ1)E46INnS`48XGYV;*g4qk(aVbWw~q1a^J?!F=ioStAgGh zrD?U-3j{57a1alq(AdM``oQAyZH5@%dx(hpdG4V|z1!Gnxu1KxxuM7GU4mEg0Q?b8 z1G%+&XiSEd^NvVZZxJ##by9yh2$t$j5COcFhf9fNdYp~`Omz`Ctx?PQw<%}S#;9Xx z(*{V9v}r}+VCn6z_JiFC1k}VlLCSCn;~ikM3JekipiE|IV^Tq9>ZAcuCT&tth611t zySWnxOhw>Mogf9sY+^vHDvg*=Q(}AC0Lf47S*mcBU_U7#3tt(DaPd!}Ay}XksHRBG z37)_%{DD40I^fz0{h(#hXLB9xQ@zG+9KAX{xrdMeq2#vQcLk&zyPGZr-5Q`$y?vzV zoUbD=Ra!&xv{s37_m!%IVv^g17TLhl9_L>o0w+m~&n1c%#2}p)8hcb-V1>$tS!Tgj z1`Gb=1J!{qW2=Wd>b2SjiR2u`=bq4Ia-4~eA|wy+g!DKamo(S~kN6NdY~I{@SqLf| z(uDf>ceB^dCtU9T{R@VWoO^=dgUI(>ep%XpXjc@xMi_7&t? zJmN3pd|w%`HmHM|9<6k9_!m-_;keLD{y>s_tJPp(>q1Xrube$-qbp z392@^T6Syr5O+obJ=K%@g@2>&EBGnU1kMN#a28Si7iRgNd`?D^~D?S8nV?ShFG_qhH!p-;$Iu4*-VaJNZq`5y{ z_7spz`ko>97~YIRE;k=OqF;quj3_0>>k;QEGo`~Ee6s_cg8RUjHib4+yITx(QU(Wa zO$|tHui&D2Md40vk&LXu(NF3q8unulsC;x}!R-o>xp#Stcf07xD(No*(r^zj>+e-j z%79WRM4bIh1Rfwq6oJc41ZuwtfqN7Jo`iRchIQhnUioX3Lo^Vy!sb-8!VcoJh3_M4 z6g^EIq)}58%nji}iU*1t$Q4%#XDUsRGnQH{t4C-ipO=csZ^-jF?P5d^?1jR;{q8~Z z@SlkRUIy?KPe2+@W#oi+aNT5}c$xrq8Sl)!S2o(s^3XCzIY)I!PAVNTL;!W`kC{}9`#@k-R#E28BhcgLf#Pla z3KHhVvRX|>^_w(-2tGMI@p%!nkHu&IjS8O~Bt`N08}GuG7Ct#Az-J5BOM;K7trulp zDkwc5U$9YKw5r@)R8UHsw(xg!5wLO;tPSC(C}*UcP7<6gSJFH$BjaG4Rx1vv*q!vy zuxaQG(na0uKO@1&!!;;e)~HqglAMtEuB5x}t160A-ffb0eZ={+G{rZ@F6M(0ueKc7 z;aqW#>RIMhVQe;4l?u8B1n@aoB_0K)TILm-mh2vG!B%l{Oe8noUZQj}UG1KWC); z>M(sIW3CxriubgIcT1bZs)LR#Q;68*uP+4f{FO4taEOANf7Hc4C08)-s4Un~>d9fw zJ9(=4ZB%@f+WCsq%RScq? z?ZZ8W`)HDUSgJ|TteHypv^z?w_gAFLFwTNVkn5w{nYxF5plEeFY@%%)JHakusMgHVeO>MU7Uznood=lrcEGPRl z%19@xiut?3WMoOf*ZCNSv-0cNKb2L4d|6Qz7-9h|mp7gD!vc9J(Swt?l9Yd3vye8X z4wGY!Oz0A5Ar^HdZOmix?^*e`h4fi7Nx#Vzyu5|0a`V@?n#ZgZ45h~Mi1Wkg>RP~l z5$B7%fuf+qK|EF{OQ9a0^m<6*C9H?cqqx?kC48?dni6r=Sg%te&Y$pVn761z!KwAk zmDa^|s9(v7sg}G7U~?GEAck}Q^I&8)W*70p$Kf8oKN7hq=r|3(+x%^8tlmd74pDrN ztpn#(+y|EnevDhkWK!}mou)ZHCS`%+Q~vWIw(2wT?ufT7a3|+k+qUiW{!66kk+p?a zaVYAtI6vP%!%k~`|16I0pW#Pie*cWYxPZJ7=PffR5lVTM{*5@N5nzlJi2st5RAVgS zy!~3jGBU0}n~{B-r=*PxuxI&|yWF0a-_Wp+XtSD+xQ)>FnJdzqUvG{#ZL!y$x1iQu zjwWR7SaTPfGgu+@AY6!!ILApX*5>bD=|pX@ZB&s~{X1SqUF|>BBUZBw;f6O5rS*z9 znx~^}KB<8t+?=EE4S!yUrsW8t`mzyxf1hO!k=(YEPUrr)2f2DnAVm7f?G!SCnn`do z{&Dc@P1m&cgp6g*aScJ zvkl=tSit>v0C;2g=if!w`kG47 z?-^-Xml)M6tKLRbyk{UqG)`lar;I$|Rw7`CN9m1-bAoU_JtW{F&SDj!=@I97yfXQ_ z0!MGSKMR(L7pJ6dEOX&CgoVa?`QVqD^&wW>A-Y54jqr`ki^4~o1fCa9^+s*B3>2AU zj+{$jCK-b2q~5e+7d$0bT&^3tFkH-$_4^FaeV=hun*X6VjTt=8@;t}$JkLu! zSv)yBeEsvrx`?w73IOS4EBLW*`(z36y}Qf>g@&$Xdt zIYDn?j$}e@aoD?M$`fU}xttXR3iX4yw`&WXNLVprVtumw+GdH#O;=P_May6*C=uD&RSz063!h98aj!=@c?RlcIh>8+Gs8aS4k$qL9Ocvh649QtX zH!ebU)6Ma@NjkxU4da%(Pnk7(BlA*Gs; z3K?MD;2*P7DJ$P*tEa3su{*hZL3PRu8PTTG z6Z6q;B#6R-$HvtltcJfef2E;Ol%(?DN>P%>g9}9o?h++4V$K^S*mtn){2P?`981_*C)MUQCUn+B<~_+k7(p+(gM&RN#HBSKYSoV+jF>sgK&0wo=Hdks zmd?!oOHy%wpj8pTLGP;4W|+;c4gkdb@quQ1!ItAe==D$D&Bx{bl_(~Usi)5K3G z^Vxq%C1~Xfgm~g#w;}v*KJCMm>WZD*GTkQvp4sLGqz6U(6!G}53OS#?O*UEa-wIXr zmC|<3(TmwAp+-$+YoS)eSqU|)91-V_RX|~Q6R#20IiPfjiPAJsYP*vL;uzuzM3S`! z9#EW;`N3V0$Y`T>S$Gk(B&>_Prx*%VMe);sS+m8?qMYbq2FJht#SE9NdK@awb8zFBUu@9!&{QdQyH$jB?BvqF;A+_BJB%-*@mFQwCTC$wW zyBHsulOovJiwb`EDyY=bJ&`sY;@D;go!Phrz}CC(PlcsHE;8Fs=?i{ts)eCjB*rHt2b4QacRrbTt=hO;;Q=eIu@9+=&U+4KpWRWn2UO40eVQ5oAscV>o=JFm zX*uRhU``lfnUVRyYnbze?kj#2wG~S-pMjpr$mc7>l^1)tg1X`3gdX-5-RM_l;8L@b z%VryJH3?q;H{tbTyn)xviebVnet)Ei3%WSdeMD>~oUD?2`(!E;g;%Dw(3CjMy+yt% z&9TIO*1GyoxzGno)?Qv}wpkjoIVZZcOTsSbZ-iu;6~*|&ACP#GoO4khvdi zJjnBVo`3Kx<7wgX@N8j&Y2hq#-Ls$Z;Jv*+e z!q|eCPoh@0w)hm`+YB6-alP08kEdvhUBcp#MwlGCN=mg@OMUx1xqI~lyz+$OY-6?M z1N(`ArNm_TCSmyY7{ed_8iqd!hIbVX@Yk;p{k-jd{;AseIxeFm%dde?IhEH(nuzze zQ+q#Z_xiS#3RwssB>Etx!h(pbK;`Z&XD8zyzCVIHy3y=5?DO@|i21BVnf|_X z31{8Q0bh1M)uK@pwJcdInO|thX^Qlc5XokgB&$BCdsqpy;}fL&j{jbbQA_+jDM|w8g3NDSBJ(Mt>sRSF^^yyJk~GRvBLsCbxf6dsf}ARQrWYiaG)L z%#AB>ZxWw#IYlL{3!faTP&`fz$7XsWTH%G=DlGY$`uaxed!xOt1^N}$%j?3+?u)j? ztw0C5fj*D(gI%quqQuw0|4|fvtB_}A45UkeEbIpIoESh$Up*mxE{MY0DCWBpkf!p{ zx<^kyHkB9K+DK25l@42J6B}SO>$A=>;yM4@^V9BuVjJs(c&^a{CYw;>{w@}6brZTt#G@Xw^Se)aaXEU(JV+st&3-(92RVLWGEibS`Kru|@5zlfRQV z7^3DsCP_2UnA<|6QX5C?a^mPqsw7zT`d^bOh;U* zG1c}o`Dx89*sE1*D#E&vnNLgdBQbelwng@wwZ-4umTK}Kl`Q-5jPKN*^Ln;NTW~c< z1`FCh02kH42!#r9AYn->eZ{BVrD2b`x;O07Xv5lHr&XW-CDup%NT6j?>!fAUpo)rb zZcMZhW#6e0gN|*)uh1)k1!vQUw(~(jFzzhrjxoB3)fE}Mf%MTXq^D9Cr2qJG4C$YI zGt%aG`JPbUhOH}DAcrN|?gJ4)y{-qbVRQ@iYe)xmqYL%lQW(_R7&HH?^!|ZD`XBFs z^lDxOX@jGeybdV4_Z|T7ta;=UjVoDT}DcfHX!aX$>VoqKIT^sH$Vm}~d14^@mW~T_9 z)(9I3MYX~~Fqe8c>Cvs8NuWYvc zJb%N=ebZxnTl#UEZ6?pJd0yjbKsW|?l>UJJ7brdhogv}=K0OsbWKQN_s%FZP386%( zf8oDX#O6bE?Hi%KQO{H>vbEw{&xdD5=P%|%Agh(D%uQ4oReL@m; zU6mE6{wy=n&?Y=aBOYU>J?KRG1RpXm^@-L}@%?uEOf5G?t)K-({{{bS;-EP+1b#2lGD z+8*Lx{u;pmRdF@`A;)O94N>j31RT7+txCJy-pwDPOTQh&pfyqY7W%DL(?QKqw3dRF z&q50*a6rl=g04DQ{-fxg@*)HfN3H}cQ{zj8MI8BL&}l~oStNXx70!|{HV0G&-1z36 z1FW4aFO}4R!M=J|M#itk2n>V|tnVI_A-0AQhND)Mam*b}nU}hiX;Eda?@=a8*5?CE zZjv?nG2EmQVpD09$IR@ee%*ullxnU1S^5z7p~x7>QXhp36z_dbsYAHJpg?4HGJ5iN z8*joh39R?iJ;u5dv5kK!jZ|#oN!S*(x4}NvdSvZ)>#rxsF8x(F#J`L+*<7XdZwM#j z(O|0Hr7-tqsMa-N^5G|?UN$T3yGnZI#QJyt*myCGN&}=a-_)dDeDipW>D#UC2_EB9*yXEj!U2c%1RQi8Mj_*b!_ZEx_P3x&??1!( z#hRynr%~KbMwaaiUr!=cqu?Q)r#LlFV&Yxhfm^;F?^eOyxTxouj4fU{_r^c>w=_DpA501IcX*tK3D-Ov(ISjHzxD{j9>& z&sd4dJhti&Rf(fpe8c zRj?LX#yU-_K8@IJ^5cKT9|r+q@`tu?t(x06gnt^X`L3c^brpHvjz7BOwO96v9UpI% z)|lMkN6|_^R(BG=UgCqdbtY-G6{>Y9bCDTQ+44N85$A;$OIb^{98M}J%+VH(BeOY+ zUMz1S0on?9W549eF2BqA-%!%r_?KPN{7tKYf)o_XxEQO>4IeraS{8ixEVAur{QZgf z^=)3vje+9Q#@q9ujNEjIMTEVbSAT(WfFk zN}Ja9fiC0Tq_%hHe6H3=!gY+>l{orj-{TDqZ4slid~ZgpnWPpdW@BU%T-qqsN9AV| za@>ejP^^Q}xn_HUjv;@7NO;ENp(hWP_hz-zA{(}BU>6L31}j>ypg$@6q!W_%vOIPd zj=lg4j%-Potpeu{K>fCow}?UxYKWI{N*Z99<*U zZ5&iXRt?ttP3FiAm!cVQK4CaS!|5Ta_O`Lop+{5tJ_!g0@GPkuW}c&dUs3})f4>Z1 zLDTq5hOlt9vVw?#ozcDrL4ZS0%M(b2qb7g53eVN5**X>T0UF&m*g~qw6tf>_)#&Gz z`2RL*lsm1pcj39%Lw3)(3uJBu85u5zW=4no7-emG5&0Rljh*`~?N_(O#*5Mi+PO2` z`;~HFTcvC&Cr1}NG6u|UG$|(Cswilf6qO+(RO{ZYTQ$|K(uLw9!lx4NO~QUZ_YwB% z7OePR4 zm?|le`Vwo{P9zvCC{amcc@GCs$wn3wNiG?)@@;{U1$hLun!oX`hHb8DWOUg6aCY}$ zJAjZiY!?;^kgp%M9G^XY*j~n9jm;nWG2^!YB6H8ieeJGZkXI??xSw{gEqOfjw~*xzdyVF;tM!RRM%<(TO^= z5qjO$lE>t^T&WI@FfkSulBtADZ$-W(+X5%b74vK ze+R5q{UA{a0VL8f3(V%|0yCfx*b!Y|M%OD{`ssLpnAG@oo0gi~O%z*VzPv*AXO$;?sW@XXD7>eWVa06Xuj9vX=E|qt|ohY$W@7BV_Qov!|H5;gyyhW+ElH zude3LWQJ4wZcxm-7{!Qn!U$$dM+Q-9li6Q1GIPi4usg@(=AI)L0HH<6e#OaBNFBHI z#&HZGZNy&cDUZ|_Ii8p7yjN}>nfa_$RI6P}U6%gj!%;-J#lOA23kF9A1P0Zxm6c$v3;ut9YF`Btu^lj2~wM#iejvAJTi7JoP@ZEw22aZGpgb!ZFro=W=r!G-b z;0oFu<)Pu-Ry^*nTMy?)=f6$z;p&t@Rx9x$e&;-?$z+PcjLKAVRe_?*X7nvd?OZL$ z4vV!+=VZ#)3XHc`% zDM#|nPI*ybCDHvPt$JIG zeBVMJ)M}n1dsHVJ;$I?WYl(uGmw}2RrWzd)=c#Zo8@Jp9m3grwp)xj4kIGzgyv&3C zJ;%#`vwu4wHeOUenFPhO3#HXImb%*#(uvDvo*Kg_l;(*DbCYf>LcW*0b3C%tj|%CZprCSw54FKD_f7=FjZy;h z$h+5AE!6^-kwr;|7o@Mu-D<6R6tUeT#Mi8k`$gOP@3y`aaPiG5BP?DvN0jixuLbPS z73|dj3KTRxfR4B5z9nJ>jyV53T(E0JGvr8(@_t$>a5&fALPD1W zmP`M~XGO=rMoAR-!Sp!9^6aFN1?L5?vIlQXMeN@T0A=rw=}TA0DO0(8OSxZXu_79X zq9+=)d4LfX->^{35i}>Fc=keLn zf77Cf4llyiz``~D8xxGJ|Xz}01Tcp+h!?A^P`^Wiv zl@|UauEHVSBFkapM99U3ZuIc9v z-Z#RW=KE4Q${Xpz5ucS=95H4@+b&io68HXuuDC74v0<=*fkulvrNw*_UI-lR&+kaz zX~)xd88VS01ot(eI9`*d)!smzUGSA(nbH^kiYu^)i`DM9tT^Kuoa&1*$C`yIx3&!z zOgTpaid?|ZResEO>;Gxvj_ZF5zio{cekgi6 z@TiJx@h9oN5FyQNB#oe;Q9*+dK@lW2J*J_f-Ov$Kkg%h15O;(GQQHvgu(X#39Cbz= zb$p}aGUNJ29dN;fEg{G*n+t+#V_a}0I!gb4r|NdPgZke5U%oGW@2%z3sj5?_PMtb+ zid+g(!21oxjIvQ0_ucd-=_w3Y$FQM&bdeTyI#3hoVs&UB*A{l3rlL}LZ_iVa0#p-3 z)*dJZ4BgWoFw}kA9qI1*zxGdg>EOt*ZD?_&UH@J6srs{Jn^AxK9|>+18|=R6k?Nbr zbcX785Bz}~;P-q?^^G1dDf;>U?4NS_=hyK&Cxu_HBk{Y6PO$NlzUg82O}ke7zQ$fN z-8UcdMc=%Ak0?0P-SbEv-96U;K3GvE-D4S@1hnW}Ro5&=TB2)uWJlH?cnBymf0bN< zL{@-(TjHckQ|xg(Q>A6R^+&}Xx4^tBgRTAbpYg|x{V11A-qDt9Gky)TitynTV^Rg3 zulVrIx*%oE#xaCeYqlE3-LK0B9D8O^reuUS1n3p5Krd22PtO2)UIzdB58*Q>wT16I z0{)v|keWRH5Aa2M(TYEk!QU3rQ6l7uO4Js3OO%jsA}I$zo&#?u$+TtKe(DF+GXEd; zQ)Vq^D*nIZ19Se}30(3t9IeTY5N$stu{y0Gwhl@l z?k{3+iH7-W`^^||-Xn_*j5<+`jIC3L2vYk$|CjSD)&>r-xCeZmKFad>$-qa&?a;SBmu+K;`A)O`%fW<}p&A_s6Mmx|1KFkJDKY&yI8!C=%X zC}?F*8;Y-ogO#Hc;|jh^P5C=`-tbud!GL#lWU#vP3ojJhYxWgx7|w2Ad7Ss%%3%R( zowbAUTnoC?c>qxNEJJFL6Kc8Mz13T^SXd%hqwVB`nshrVq?BS~^6KS`n5^bK8h^## zSc|%>=cPy1SGMEajdV`j^KP*`TvxNxpY*&cVKL+Pl8Ou3W$Q;yenfp=NCm2nB5vG& zL*PYZd{k%jlQ!vz>Wo8(RJjh29HFy^0;CLm3LA`S)e88r=1BLr;OgUfjw*3E$liAE{%z=veGi#d5|rrP0^NAZj+L44msHu{sMg$~&-r z1sE>52Ex)-Q8K#jA>ML5PK?k}Va%vx6=v0&&l(FQ^|P*89`*Zj>i6fcS3%r>x|r+U zr6fm*HevPhr1Z9Wwa1GZ8>6DWf00kRd%ASDS&IZD8`117-Xw6B%;DQ|oyxoFxMEi~ zUS+J!G0R+e>RsqtR3K_Th>yz_biX)(47oG~6jRZX^z6<2PH?W0?_kBjpg6Kr*1PjR zH)|V7FZ5g|`HWYfFGY=VAheUJ^AcJZ7s|`Hr#oj!Eihw*V4f4yUTS0zH4McLzC$<`2 zRN&ZPoX3Y`#h85Mcf3$Pagqt&+i^U2X}(X}1?PV*;duIaO@&JnvS~sP$4LIJf@n~V zRabUEDNetQVtdRoYGh%?Sei=hu1KMxiIJf-HR+iGQkL=BztYKkzm{yUN_KxnvaY|D ztTV|d=|?eTpw#JYhVHjusnoE78Z;HO*062NUNT;+kksIIFDSpHA>0APrn3>i;_21@y0lxV^~vyxYwzLmtS=*#9Mhk9Ls|U#+)&(^;KJQ6aQ2lO z_9kvJg5IsO##n2aO0sHhYoBb4HXi1%#g3va{^**VfcO3CLmZF1uV~ePZChL9NF0kg zu@&U(Pr{!~WuhOn;A>W_2RA1A6ClT*<^b8JAZ1G92rb6OI+&3L!UCw7KdaKA=jept)oZ`x~Wke=;EFq{8v*oq9gCJRRsg z%T>qX!m-tFKKo`ViXT&sojhx-ei2W0`L{RcmwI=l!u}~?&Up?*T-QRn02dHR&w`$+ zOK##D{8figiKJ&T;oL>lOdfOoRN5tE?eczVE*8-!`g1Opyu7dkdL|gZAU7Q6Dr|54 zO$Lr3XH{7n=k4djhBV~*==zpqy|uQ8vtAeG=WT2~VCZmIt7p!kcuN6Fc%gGH-g zwLx{K@dD7KVwCIVmIJxT3ZH3?VBEPyF4&|3cZQO6IDfl+87HItE$T>gd5QRHD>+C= z=qGbLyD#NIap)FoAtYNTku!0eEq8~UpaWVek$4y4P-3*Mpsc8&>KTO-9=DKg(07yA z`A41Exr>BOxh{qz)gK>tSGDhE?*V-WGjwX+eg}w$;^%Xiuz}-!&v0kf7a{LzY2uBu zZsg3vmt4x68}hEY$q0L!W=#osw@cg($au%R_iZ|EiZ&fit_oNi14T`c9yFJ+9x%t} zFY!m~a=2A%qdNnPr46Mor9&``s(dL?*?<}Ai#3j1dxK;w@;g*RFoKZNrD*HMjb;VOcpPNC5cecuBxR{|C30Qw^@KcsneuN%-c-GrLKFU zz88sdn)8tvK=Ov36+RJ_758`%)D`zon+lM0ihFRmU#@VFqsqMXW>hq~zrsbztOn@L z+7xD|vj~@j7pQYTsrg%Y2kZntwYhjp%!PO4=T5^#qdA&23O6IbN(hF&CvGuEZ#O$D zev(cgp9PWv-jd2xAnXNTKeV%+qJ;~ zz+a?8o&lq|r-!Val#8#|4Z$KtxJ)VJapIM7VwMJyMFuscd=m8?i^%V&>O*%Fd;an) zrm4px+c0PkP2;|0=b131m>A9FdOh=qt;WAHn_93S=Fb#wg7*t=;vzn-v&iH4Ro*jU zSP@gGFrcPcGnhwh_Rl=plB_FAP)4C_n#Ir0Ps>NJ+kNmKVLAo47vmW!nP!e}B>Xv{ zQAk*QKw*kt)yEe3*e5aak_dZ$tp1l0mBc)#2DIe1PT^Hb9EVpi^Jp#=xkXI_!l9Uq z#=7lk01hS7Kz@^&2J+^m@uL-o%D8gN#rBj~_l=AMLWeVY#;@lqC>Puh6>L--?1F3T zQ*qylZ_cWhWzf*Z&Lu=Tq1h5<@9_{%y+Hd(2F%AIjUC}zUqovB;fm+Zd#MyVC+m!d z{tHWSR_@`LZy$kuERpcMvhQFytE%AIk_z3)Ek?&3(eEkI*hs1x!q`O=eL5atB zXW>tZ#YBB$&Nc2uQe$aXMs`9M0E|Iv>^+Bxf9!e=lZgGVz?Eby_sJXc)$$>EpCGQm zn9Y|krC`x^0$pSIB*RmZp~1M3hZtxOayhSLo~0v}@z{5lll-^v=I*4D{DoIiPSs`J zr@#KHA9v};1N!08NyN^T45ohc*N^oiS*G?wI@q2UxPQpge2S_;($kdBOU$UC#ws~u$sr^$XUnDOi2k(t{s@OkALnApL39ZPKv7wtYd?dtNBDyXi&*{@5X-t|AqYbkN!J1 zvds37@X^r<*-KfDsNz1Nq!n2|3KmU7DRVB??X2S^p{#aRkV4s4Jtr@5OA-fTIPH%G zyCM4J38YxL8+3y)*QR;$#qJ*tb=j+`mA&J$FQtk(CGiky z8mpxl>j2}LTct~BOW&CwM~)_Py#5`{92o4|NvBoeoT;JNIIb?*n2n}sDA3HMi+XyOWq15|gDqYJ1ht3=&x)-?-N z0#pfZ@WQs^87%^g@%Lb}x|va>NE6$sXy zjY)h(ChId0YCfZ>aF4VAUv**|e_Ub}(fY);j zpVd$6mFEgMD-kF*+7lKTX{G!r0wtu%yLc3bEhsIJ!z3`-cuGU!ixj8oasoN~BT_0~pWp5g8*#=vvoboJLwfdNgw3&IMJSqycZV^LH*F@_|%jHyt@K z71>QDnEFv(W4x5GoIP%+s4Iw6;sN9CUNQ<-xcEtWR=9<2x@%P!(}0|W+|f^Wl0k+< z`6d(=NppS^ScZ#zQocF=H9i2ExD^&@83!J>6(N*b!5v~dI?)F)<9w2)Hu_&z8~yM= zA?FpOXShU)5GmX0J7PodXco#9+pxPyG#6!oCrK5WKT_I^;-0q?ij)c*F<)Lz6~qx| z9nX~y^CL$NmhrULbF}_{kz28?V8ylVoZ*VfcDd;J1VM)Bv_PzXtQ^NxuKP(AwDJ#N z7M{zeC7&_p0h{4{>(c25N#c3yq@-A(?CH2JC*g1_|0_G+CGr__e&y}C=P?jnax0|O zd=r&8mk8AcVjD5dGF~DY`vUxHhw$8-k{8jbbrDWc)QUeWFy`!nKS#m9@_a+}?L<}Y zW3vVnQK+rX^&YI|xLs4ya}fz)Q%x$N-9l(7>Ofhn&ZTkYC#y~c^+WedrIZdfKzoqs zBSMJm&|p*mm^Q}KgV;RF#FH@>*~&H1hlsre4!DpCWZ$adK&jl>%)0Ka#ARNX=N44y zx$t&vo>t1igD(D zP)ib!OxD*7>4<+P9OS$493s?*NpR8j)cXFVj*Ie+#ecTkMfi1@bvEa{HYHv<7gTp^ z98Xhbk@$(r(>;DHI+?w}7{2)C>?)Nz~L4g zI4rqHR%jBVbVznwy7g@T7IxdQ{qZAhmnZ}qHV-s97cyBi+#-GMe2dFn>ty@y+%$hs z`)B{_dAF{qy)9c^FE&ZyWrD3h!Os2^ywv`}5%}C&d;~t{{5C%S+4-m6z(?W2**cA# zYNnF0in0cCrWHX^u)}Or_CLyBE0FGn6sB4`#J3_|ny&4IK;Nhipd>vPcaZePpAjfu zewd_|5d?zGp9bp41w^hC#%>w?h_rUv(Oq@)4MbZzE#sJU#-EN-POf7PvW{>+^1 zx8Ag~zO57VkObD7mhl0xc2u2?`U+?&>Wy^N-*nVoL1G8IAsu7sn9qn&TQruE5v*M{ z%xiV@bwn#Q8E2Q$c}MEV1R-{$KOK3Nj@+J(EKEmwbfm~FcFvCJ$d+8y22T=V?Xrv? zM2699e=jjw#YxNWCmvS6iRe=6%gE(;51qEmGMe}nWsTJ{3#9Fge`VmUILYJnOg?=?7w3%NlV|Z)% zi_-9W+wcoj`KRjgr>El$JHEe)H+6h49sf~#jsIYc-x&(OmxSyD#Tr4e>0wZ;0mZev zNP|>{t?y}%Reaj*k%o6q3Z5$OPbx{zeH3fASCt)KqT+AT@pb9=F?M_qd?@>363||w zs<|J4jky8aKtsa()@IT1P;16j%{pY;-#T@`;4-&P-vv%{#B}@VZ66?&DS3 zs3FkqLxf)%$9Rd)MWfp#EMqZ+c^j*rpaSz#<-!6YDg7;p|BJ+BaW444hgfX16HF(N zvic*-7|GKtGzyFCcBJtdjN1uZgx4yhNwIrQdb+n0?2P-Rrb3O~NnkhoVMCF0dqPAl zCMVx+C0XRGpe%3rJNP;XOqHDRxw*I%4&nz>YB@%NqgT@6T1L7IynBvh_H$dDh6`^br9utSzo zl}9H%XHp4Jl6te}L@@Ve*-6wPHEz-W>$YspQ zJ*Q_TtJ+Tsa7%)(=|K^NL=2}Uok?QW3Z`KG0x=46S>oB3Mu>r28osfg$_f63HvTuN zl8h#T1%HUwSZOC2Y$v%;CwbgXGMFTPwv+U?lN9MBwRV#JU}|3|;VS^A>IGnW1CeTa zFl$A*1iD9QbR*T)UQk4T4&;yxIaT;phic!mY{*jhDRz<)yYOdp64OpnLK26agdH-~ zOO{UZ83jr$<>DmAUaxP_1K@TC>6?iV0d^82;Ti&w#Up+MNn}Gd67n4a=HzM1ILwIr zNdI^>JZbNYBvtPLSA<93sR9@Q65-uVQe?rHN@~os3%Vg-8ON)F_KLy42)q9AG47yj z-YBvtN|(1GN43J)k~_{pO9$5JlBVii;OzV}LrUEk;b))n6{!a_M$z|>i=q!x4)SR~ z^$>FiD&tCeZql*cbZmEd=!nTWqP>pDO-GdKi0>&+|}Z9h>kiUtRr0Mh_AC$JN%n6!0c>0Vj{Kr_C8plzSt&X{7y7s zJgJIJDzPi}6i~?ioiv0p2;kzBf&T-ZE|g zvQh{#T}g%2Qhc}|88apTUz;izL6X@MT3;QxG96izj&$qDC)1Ig(vjaBR$%W=M}GCE zRB#%jk#mW(T=NM~HKA4mNk_d^5=UdOf+ZBA zW-RG+3icmj#&p5jGqi2s1Qpm<0>#Wnb}C}VLn^SF6w|Y7MlpYsa4Zu#rE&S@XI1|< zh{135AML8^*7xj`$chaba?E&EfvuN7%e775s$LT!!jz111wQ0!HJE`_X6^S1AJ_9F zWN`^qOW=MT_-LEJH+0}9Z35*0F6F%6Ch)I1u&1Eg3RC7>Qo1t&DPJmcM|v4}sU@S(Jp(#rAJ-~LaW06IuS-(o zsQ^1ozJUa+EFeJLZX3A>uguey;VRX;IWmatv()_V8YgJPFGifJ;nX!w|1w8A&CGvSA` zS;s~M>R)ZB?*cV6ul`{W1#+!Ge!19JqaeR$E`E&gmt_f?!q-?qy#fgKv54FX>iRpM zVB3LH#DNY4mTNdUsp2G}mJ%h}mx}xjq5Ag?k=qfpI+U>WO-^Gf(SC$zs!F8;SuL#4 zaz&aQt3ZZxf@QHtE~p;5OB!Ik=;~Zv;+j|ZWp-c1O-ns@5oa#>J))oN?!C)bWJp{2 zw6j2CF^5e+EYj{XU?f2ilsg>+%O&Ph4LfTs9H52Hrp#u4hHLU#h|orVepaXHJA+ zx;7NQbYf_0VtD-QQlX-hK56C9eGo@Uz|n}O(YkFQL5HHu#mlVipj2#5|UAOP!ievwW>@TPWU*8Z}h zeeB@)#`Rz&DP8?dz;yS#m9OCIeDQbiysruB-M>4CsH^MbbKrhHF$|V>-_yL8BFo4} z-(WX333zdxN2t7bzCT8`4cvVn;+f({JukvuxXk)2RJ1$feaBonm@T(3$Bdy)9Ik9g z9NSU8jgv`b$!2xm%g7vdtPXpPV+ae!j9eb({6Pj*8i(0a`x4w~q|>6(=Zkw4sL!=( zu1$J|9Fn=9C3{wfl|K-1;Gg`kdlXvAq^sw7*B;)PcF}4}Rwfj&qI~CeD7RLHBt3_i zfrAxyt1oof-ue`@36g>Hx(Wi;kgmUxO(0lr+2y|~S-q=M8BWv1Z(5Qr{%T!3nWx*C zTg#pMTjhR0=TPoBt>yMTvfM!1a>Z?JfZLy>hSo+u4H5~^wl1S9#{s1s((7x_9*`5` zp&WB`1KU61uyIyiAT}f?1pvhj*DP}jSoKzr`0sgK>J-nP4-kr2oAm7YPW8wAg#WTX zo+489M|;&D%{^?SAaqAV@ZR86jq0wNn5zgZ(sT$x98G|b!^IvX0-qIUo)1{>nv31& zg#61NrgVL6GGpR(Ns4V&II9~QWt+^}CaNs~6SJ_aIb$yupQ}6K#~D8ZhW)MWM0O5j zmGkQQlptW-s$q0qoFyCX1gs+b8@UQrrou_Ys^(#HZ=7qFKmkHHYid;|V$UO%sW5AL z^J#p^eZ8$2d!;jS@9G=u|H(D<16n1!2~IpSBX7l!klPQN*J z1BpIaEIp33h^n5HyIJr1Ved1pj(@DL#;xI>8-XV`LJ)i9a`?sW8r?FZG)C^)ED4b8 zYp0nPHOdS1k{X1wn0Smr(uHELW-TJs>{AFhh5)}=h$+xyOpV4FbHPJ$t&%*oDjfv& z6`_b5xh0`kZLaKAAxz-L#u=Jd_b^|`6mu=wZHa?<5IXsk4|v7DB`n^Vjz@s4Iy&(P zY(~hZOBdXRzDK^O?*fu=C*^zA&-y56nYGuihONG~Bc;z-PcpH%%gX`P)-kbmmcjIi z#WM|w?P4izGpNyR;L4?W*tzEA%wK3Dk%uXf(0R*a>YstWjO%)2S|Dna7w*-Ii)cWDSbEDpzobu<@EaI-XZmu zy(P`2SzhPE8t0k`--)``J&zV{O6$BqQv6Bqi_Q%>Uz(~>vd;$-%}=Mxi|;G~8DKQc zUK%T89ab0SE?Y??rwNXdEQ@7iyi&kV8~t2&AVnjEh1o)d>zdD@3r`^k_Y2*-;cpCy z-=n_c&Kkr9sHt+5dschoyHzE)*WzMUF$-|EhaoPkAsZ~ckV3zPB6a617Zfl|s#W1h z&t+e+Yb{%z1>S)-#-t@~l9rI=`C8Tn4Y}x8f3L#NBb+v9t(LJtl|BAQ@y?$DOLTC!goXBN`w#4X_=cw#~k}1G9XCpQ%Hf%qc%F*4uTFA@}Dk3RH#cf zczp?ZdyIld0$R#k>Q-|+Jnt&wWWrL{b7i}Hd?k%<$dKlJWkny=_?*&XRcFutzG`6E z{145gFSH0Tg1WZSg2^L9I<3(?jLeA ziAA%OO?m}G15`^$a2*V;U z-)>er3@^7dJFyvuou46`>)%wos$D2Hq+K(|{wHshlJeUrR=bW7)br#8GP2Hq#|md@ zpZMn+5MYkAE?^dlQE>bLZH#6X&Pu@2Z{1yL77lCVXT)-TE_s5V3HS0-f$YjzFeK4J zkwmQzl-qzwav$p?xsVl1)=Noa>%tZ5&9QHrW4B?|Ivn>Dq6X}@jNucK)q)$;QSOA~ z!uN4`kaPJ~5>)M@t#;3bflS_R7Os*bwieK6XjqN%?2}!E@9A8ALcBy$SVOnu{w8G?v{(KftX!c!YT_S4p9RQ7U-18#_Ptf{G$@kX3 zV?Bqkcw5x-cl?_3qcT(w)(i76=6Jj6rl9xmZ8MSJv2+j%O)o}=HiYpMpjJAl{!c2Kb`hmnMGET2JiK+ zbdq#h07JO3us6a+Eh6K#-=h-lT`pzGda6LyF+D%-C|58KN%&vuPxd493r|wK$OmeS zMQB1O&u@;#z+OZp*IzqiXU%F?8tc)n*^RKUO`Y^KFKF_|)NuWP+yQG_IM%}fwQl6g zemx0D@*4F$j&RS>-uuCcB=3{NzdVeSF?50E#2og;l-yviQP*vtp0926huvqJr{sL$Q30bP>=`0%AiDyjGPt-Vob$ zG*3r^m1ua3i->Jr81=n+F>S->@$-#WjUS0$F3NoyUwoiLP3G9 zx$-7MqN`ip3goSuycNn@fxN-=16>Q{O#$gIZzU2oSl)uw0Nk9|iR>fKPUUJ%{5nO` z;g#*4<2TT5Ikfye4KPlG%!AxI-|wKg;O}6@oy;s!R$Rd=W~63WJ!*Az=$E4db#ffR z!uWmi!M6SFIT7eG2A)4&(I6H@;aGVA{~>5g9J-;i$rkD4TBV;}M`X*kE7B24fdd zN8?Lb8p*y~Y`EmvC!eJD_I(L~XRfsP&jcj{?H&%|-KENEc0lXNwOjznM6o*8wm0+k z75PXF1#?LyULWA85G=o=6@Lx)Dv=R3l`-?kUZP^+Faa~Vfp*8HAInlsr8-z zwRdQOl)M|G>}jRu839h))b62AqrTpflOt;pUs*-IQ&XQXNZCIzLZlbXno)!QxK4iTa7>qETbaMU+{6yUkB{ZO#tJ^yl%HipG2T|)M| zNmWNG`}I3sQC&U8!*As~hsE-9rRO&$e!{hjJe}iI&u^3j(TKB91O<1cv%sAH09E5- zVx_ac>iU~l^@!<$XB=sz9}n~pvK33H*w6z0rAtbsyy%eKS*jle8Lxy`c^o}X_v5Ll zFx`*cNVDFyhT6+05-o za;r!qQ}m25b9xPp7qTYw4_Vg?4q3BGn8Al_$(*$h+}d4VtdN?YtTl2TK=Qp#cM1b; zEcWfaO<>~Rd<~SRt-PnZUwfE%Ve(3~ga_V(nk8df&Q04%c>8W9DPik~5E%5sw4V?a zm23A=nqA+kbWFqBL9VUxqN;JRr-}k2Cn$G|wD}FxPZ^P}LIs$O#`jX9InrQx#z@Vj z1A6|Gx5VCK1taJ2xC1^g1Skqzw0UMJ!zh?+bq{gQu|ks1Elt{ zBHw~-B%<0lPU214>i4dX_|%4ycGR94uTPR2n$Kdv)hT2R!(@I)j^&yqpitIF>sSM= zf?=<(W{aWUPIJLNz+*S5_eO;jhv(`tDTD=n`5x#}6?So(!fMGTtzZ^2L{g}1O4<7@Bi(YkP{U8qfgHFkOHr6#(5 z-K2iBq#PU)l|g4GHI4nUob_hmW~PH1fFSE+*yg;o5Az{D7reevWH6U((;RcO;+Xio zg>Pa$FO)x3&g#q%%cwbWoL6P!;Et?z<*Ip6K?q|Vg#m00?-|mI?XN{xpckyo!mVsU zntjghl^S$1ABo3HcV%`r8f;+P0cBdoG%(_mImexMFE0m0fI&gi-W==t6#6E~D}wac z4pGDpr_HV?VQ#P>Pr`%yuZsD8IN%v9Cgc>kx#_H4>0u ziq^@LrxGxHCZf}WJ~g4LgNgbBd`@@IMk*NMwp=^s`~v3%W!8j3v+#ZC(D~;pR!l#d zh0soPja!yR>d%({BfW%(F3;81>+BC!{D6hES@@~B;90slTrpm*US3AajAV1B%uzQq z8mTK}DZrLOR?WHD7c&xZZ=aAb^UYZaJ3o3=MOYYXSI)Qi9v%t}%)(ll!bV9UctXYh?=N=Y!+`0jf=fIVZ^1R&=#6-@r2w{dkT`l`Vm&lb2!fa#)TuFza zZ@Z60kDd%iu>(|y#5toNV0~{cZbvV%SYp962gX0Oo4QGUPQw4XEN*1-rI~z(sEnFN z)f~!C`65~O^qi6d)FbsRMt9JYTZ3F#yik}d@i&DkPH&IB7ic6|nb(Et_c;=u)rkn* zfiRVP4{ei<+)N~O9Zg`6m6LLLF-g(pSfNcF?(q;kBHrTd)>pas{)F!fW4%zsgkzV9 z*f~gYDk;=c#A~yh?->fl6TzdiuvO~1usf`*S)J;p7L7q`F7{NM#(6~X4C57G;>$rA zG*EnnqgxgFR^$6hq04nLy*z=QKk2D@8`dn@(MoowBt+uIuS=0htc?VBW>O?%PvRk= zF3VU7%&_H5h?cr6R1uWUxl4uh94!ygu)!5Buts-x28w$vx=pvr2LSR`pM8y*O3t#MbLyvp{jlZK-99OvfBx;};JfGTSmAbKL}a#if27 zPdSFNTs@ysCzUK$4It!1OCzD)O_2-L!XH%kQ9ey~wqvGj&b*cSnsqWrHCdYyxzkW_ zY)V|l!w&f)*OOST{=l=((tK6@FS&!a2FRc^nypoR5OZ=XW48IT_AqMPqfq%eT=9b< z;N|9M<7=#l%<+h{h=SwZVusvp)}Dzt9I#vsEYJKJ+Ze}ZUXd{`HY){6=Pna^e=dWG z;Q%M#-4H1)bIj#I69?v+FlKRD{}S zd&YdvWCxW_%tqls8)waOqg@R-HUu4OgWg@$`zP0ElTD0UBNWd9(mYM@9H!;w0+v)?o>e?Y4kP`*LNzSF@J%m}oVl@6+T+l^FH z3`s}H?ug&Jr}`NgxZ`vA?K~bPYit0zv=3uY8yyq&x?mOa7swLOUx*>WGXxxv&L;AH zI|CzdoB+5(edo8dSuc7dFgm1#^&%d$T1eK>&X&1eJOp;CY`scL$S0}UpLh*5xLPne z$%eY}_0|O=oi1ht1u{u6LqZDb(g>T}^n8JeOtgV>MBC+8o}Glz-)oLd$_mNVf)xb; zqZY~6-FomaWrVCmYSv&n*)6&>v+yetmOKHCqpUM-0Kss@fspkx_r)>kSGMnla~^Z) zH@amW25FfLMdzv6$|<|lT6^3oMa*jMf;J997>8zGT0HQ*8-xw7i(CR*bFFG&_Snvw zXA67u^x`IA#gzI3U_~BP3|IzB;4~UE+#Wv2&LG>N9cVG*E?`w}ZO-+x_&KDSk|r!@_D2TYLZ&t$qF)~l1{PAL^OCmtUvE8)$F zXM?Z-PajG;P{i;c^>w5k8Sn8@nd5D421?gbys1TYyUqDeGop(Jet*5LXkYP!?kcn^ zguxi{hso+7j16q7!5EcUNBU~H_~~cL(p9+TJgVUGUq%&_Vua;LMis=h;c}_j`7se4 zj2+}l)d0s1iI1=bmgnaeNDZ!3=xp-tj7$*s0+#VdlEdmi$Md$lvZJpW7+pHE9Yd>L zMh$YdY&XcS+X)pKuaj0qsEN>-g;fUreFV6-srm`4?_E>V4Q`x8V!0Du7F1fhI0QG) zIKD#YP=y0&GEQ9j8Pl-|Fc&ma8;C=U{n$0%kmhgm03@q-nvZi`+0yxcypHzzQ0RqP zyv0BB>@J~%cfXaMn_ECZRUd-!(;x>DQhwBT%Ks<}+&wkH(bKGo}Cc?$lK>~2W#L8fGiHW#1AOBwAucALz-Y5NW1 zKJa7x#0`t){9HYOe^04uB6`B?x5`}jGDOM>`M`@j8Gt=Uek*#X4`rBIJ7-@|>={J* z$n`Qxdx*V;g-9&JGoZ%6iNKfsV0?0(8j=ZQw=gtiInJBc^TRcC&aUQu#hx#Di?D{< zke)B7_I`k;v@vw2*V8B&(8jn-AP==h?Hv-IyGXrkkY^$^)xpE2=XO%X8>z zIL0^l%{c#_s;G-a6G`-SD{Y^NDHyk0=|u4CAC2f70#AfBCoryQh8n%sX`aa^ZTnr zlta`+8OG_BugxXfRrjF9Vfbn74?-_X?Kw=ZlhR_{Z`uzV?Es0IGFhjVTEU7&;XsG{ z)|Z?EfMoG@A&15GO{d^GV(~LUs9Yx|3dLsXj$wyc`#vwoEw7PGD`-kl&|JFWVLCfC z-uh5IE5E%^zAPHvr(A1vc5bsf`ePDTqnwk|Ax^GWOgf`LyFs8)Dw4Im%PsD)UIjPcS~hS=^_}om>|i>Lfvb5}+@1O741WyjEB5$8OYIQcfm1ay~_c zEH<6i+4Lq-{LNvjVgBdUXRuU%m-rDC&f7WHT~GZgj}BJ21I0t`nmZ(j$Smtz?^bi^$EwDhsTvZUYqCKP0^oe`z$U_l9jxO?1$84~jTZICE_IHq z=&?XfLU9gJ5KA_4x-r&cIf%YPJw{mhd*pEa4Vm&~#c)}@>>xT|KKB#xpFIw}9&msM@xwM=19S z1-R#dY4m`%*<395%QPQP!|sw0b>5%w<)Q`)m|>()brOa%3jf$BT3MVSGHoY45Avl< zN|kA;_(^1XfOglYBjXtw$0O)dDgR^*VtHm#ppw93kMIXLg_2f~0k{HjR{-x&sr{SS zm96}c0hGhGpBQm_&LY3e>+jM$OGq-@IvsRBH*1lqSWemJ>%$dg(w_4L23~*A7xFfg zmQ5KUpI;ow%B^zJoE_!WS#=$+SCQp?;3G0Oq9d0R3Lxm+$@Nvdf*WnE~7gIh;g#a zpX@x);&7`#cjnN}{CWqjxI*SnTi#cazghzvDfy@Mfo^)cmP}!5&k7k--mQ`2LZ~({ zwq6#FQC3N=<*6V+vY!6@90qYAA8LC>Fx>;D0qJ^0nI_ItOPi))DTD>o^j_z3hY@-1`Q4-_7_bLaG?GiXN*)K<=Ju~LTqNt&T<}v%FeD3 z0@zl4CyIsw!BgpfsrVQo#4v0fo2aWF1|QbK=8{vHdS!sQ1D0_PDbxa-LyhKQ;X2w? z?pUtp)bh_&l*;mbbbGc(|0E#d&h9XHFf@r_zJ|ZSup&g^4_t9uzjsTdJlz(V{D^u{ zqHc?-UNTwR6&JB_oJ_BXk!CqMsLt7z=RsN0aPCB%dZ|alva0$ubllW&Th-lQe>3q^ z^Lie#3~m_3c}jB$iva4!`f-Z7J1SQei~ZU2YM^9%Oo$0df$WLGjF@4D6<|016j99= zt_V_z#O^MVot;nm`z``3S6AT2^ET#6?8_1x8-`XpD{Bi7&v;C~c^=j{LB(DA-*nl`IG{hPPb9-4@$duim zYRUJ2Iu)|c*aad`f<%OIM~c^~aIXR}x2N80W8yFETG`rpD`@?Yunrvt{cC$+YRR3g ztAqFiF3^QA1o3^fp0l#YtQQZx+HfO?@$;I&wzU%WN}M;0`ed1wP0s$3(_H+mlDb{X zFQs`=^>s+OAue3~GEzslh8Euq~Xc1kM9#I6pKy>2kVP8Cp#bP-!xgee&xM16^t4Q}YR2^()E;enD2{X}~|uhTptaz^eH!acZiF z!$(OGGjtL28Uz}pywYqWDtS#TrBy8BPNIvA4HpPKP)%VSgCT;W*`H#NoIFMoB|eOe zGTMbAr+z@*yIA`tjeE#70MS?mV%*hN+Rd{cOp?Z}>6nymPM#%~h&hDZ^-4{qoCNFv z9002ARYFL(qGvq|A*N}}r5x0%>izmLT; z=gT;Y<>!1^qdNVVDD!Tgs}AjP$JE4gd&n^?$7*EN;c7mn8yxT?%XJaurCPh6>PygC zM1$xKJX)ouug0{K)F+d=wXb%9Zr4_HCz9t#bO$MPmon1z0kRav%7T|OWF>0&gIZ0}5jp5vae`y{2YOxi;x7IXaD=UV~C+0#O1^`69&2M;Gh@sU^v z1lSB_Zxwpt{_${}`Ac6yp3y!>-XDxlKX4WiYV{})oq8}TEaP{C6&rH`iubH%oP+dR z7Xevj8nr9HDDN^VU5~ zd*RP}$)yC#{*PRxEIT~XvtpVdJuN;}g))NHVl}Gd=Iq&jz$N6 z=~RWM(R4g`+JlmiP;6E=>#I=g)_uWv-@goCS9x32#QE#FE&1lX0F8Stmxo!3BQs;^ zFljv39C|Bp$(P6x%ST^z-R}zu3LrzHg1o`y(`TN0-Bs7CfJ@GifWG=qQVjDVV_hrj z`YY+JnJ`SipDf_5jq8jPftr>0>5IcjjQ;WaYjh^Ye91VLM{_5>yX)_hbhb{(U*T|raF&YG+Y@HgUl;$5i?RGK)K8U*8I82kK^-U|L# zdSm}7nWjsZDOm!Bv{lm z4S%aS>D#dJw+e>A)BP3O##$&CD)lHO|4}q8G zUWA%1ezAD0JIMKZnZjGg<3u%59_=+s5%&YCGcDsG(uhvET!rHEk0+DE(M84@m~ylw z_qO(lqYdb42;@Ar4wRfs0K7kVI;7n~4DaVj_-FEtqWwdjjN`;R>bWWLrV3{SN(qd> zZ@Gww5h!C!_NykP2BD0Nk*TnqD^# z>|);9tt@scld|tLSO&XLRhL?umd6$?TErzFACTJN+RyKy1A%y6XAtw(|A6|YzCLjR zQ>04gKXkzF*joRiVXY$6vE`aoLjrQd+S8rA@IX;x;!dtLYUb+h!`W563I6Z%G~562 zH5mcMBYbMMKaU;k#1$mAT%9OV4I>#pXv+1tp;jIm+#Vxa2)4(^T3#*J^L<#O(c1yo zem#csmgkexz~A#A;pVeD{mI6FW38i!GnMmTqq7io)g1`8zbX{(st|ctNV5(5A46m- z`!5GU#>Sl>Cn=9$|9|H~CSm_a((`}J|Han7mEPQ%{}TrP|DERl^qKJg5fq=n|E1L~ zM4g-B|6mONCrfgjcVIRE%*DNJHor)b#;Z1)f52w*Y4-l7Ws10jg8Y-yv?YB07xdNK z?bqn*&Pz0XeGkVvg1(ykzo4%usU5C){Qh6)YsGF&UuPa@LthvBG<}`)ilVP!d}{hS zk@N{Ci7nSN7iZAdM;Y|>BDmP}Ri}vR(ZZBWF_S!6rU;*!DN~%wSB6X>a&*$u_hm&? zo%r}AQDqU?N>mQ8f~ba2@UIZnn1m*(WoiERpVCtkazdJ(3KTtkL0GX-I7HFY%~TM2 zx&y&2gPu09)torYrio2Y6F@d;e8-e3^z=Lc%*6x$LwdSk$#2pVj4G%Z)nB`|5|S`& zlr3k|qA-ddc9L60WP>r2;-RRlMCm6o=@FKocZqf7@Ju`_U1j`yim=>lZgEtfIiLzJ zb{83g$sKKJcbkz|Kr4`GBXvsLq5*WFu*CKH{Y44CT)+PW??_y#-@iJ8_u=~ete>WN5l`#h}ZWITE;|?I;}m$#$8Abtd>5cY3Y>j zE+Cjeew>@ zLw=bT=9j3I%OfK*hQee}XV~T{l{ONaTYF_Yp#&U_`#=?YnA5Y(`T3-ScYlLu^>P;P zigFW)&qZdv1AxWGnqpNQkFL%sc6GWa;-znYzk>?hI~Xd%OBAd$>G=j_HEj573ITE% z@kwJYKs5Zc)DepNbMepGDd@nFKRMB4K@HcbqD@tFNEdxSCQr2FKhD=J*;@3c2p5T- znMKc`=%jHp*(mwnL}%0~UjcsULaEci!KzMv4fx_C0pBTr*PN44rxO57!!?2ykk=ER zH2wh)g}5pNk*kM8FCYH?nY3P5m9#*Yv`c!N zWJ$B6q{jwkv|hF@=`HZ2P9s!F@!u+Gu`1~dRnl}_(uyBd>ov(@DU&*ml9GmGmh`6= zq`l508wKT1PzHeyP=I$JR1_Pg20T>*zVS%F&vCU{;)Am@s_;7nc=teNT-SI&$b7R- zZw0f4ZB$M1La*tWw(XqI!iS^QG;z%xYd zqvB@a2bSkE#I!QGd2x?fh}^k7T+uY#8X}tnpHe=1X^qMjrneL&n`%8&nTCt}n1B6Q z)?xPwBX_J9jmE>gmRZ}yqw#bO#d3l2OD$a@&JO#0gffGCCLW#iB9lG4I$=i>8+rln*6Ke|eL>h1({xJTB*w_~vO01gFwZ2_?Kx#hwB;JI| z?E25?-fV`+CI7_f_YkL$?x@5{ibW_R0W0I35=(KR#tlc%H^k1aqUKc#%y zjS5%;tH@kt37fGHWz53;!XQd8>%;_r&iSU)aVS)Am_15u^n10iIQ+MX*dx}fW^Fkk znUYmE#azl_6$KcG2|wwNRVhukxzy}4Y`J0woi{=E_OLX5Vve+ShGN&?zjIaOT&S*5 zS&zMu-v8Y%0!bVDv7^-9Ht@hbV*Ev?1^z_px&A?s>)S;cM~jYUeq^fd`0ub3o1 z51ZE}$p`RUX2WMhIQwMUBTp4?57;Af4vyRBs^7DAf|$7&ag>^GSO$SA3u8IpG%o)r z29a#R$~__Fa;U?}@U~5i87R2`@_M?1;@n%ouN%lTuMBbbN8y^pBkv0#a4=(P0sn>I znoV@LxK~S+90hJ6phe^dZF<~#6!^nbm^KOCA)m@5c;MfenK5K!|3kvkCc({lpjv*p zvMRhBB4R6(+85#muZA2EO2*ud#eFR`RK0tn%Fh)VoPJdHcIBk2{+Le0T1&JOv{}zL zH`0k(ehw*=z*u&%pVKgWgpo|0p4b%h=C@SA$u<=abODMM;yTMsk#k^I@TZ}g6S;mQ z3ihFR5oxdw6q8bgwli0;QP*Z>?&^*77B>v{J2bN&zZ{{U2Ez+PQs_(NUj<4qhPgI& z6M~mM9MOr_UpX9c$XqytwMX&5*#M5rz+~@rMjcRh&BhARm@XJ;HYigOdP>W9fG{-# zVNA}B&1Vo4k|G%)yjG`T#k{8-cVBjF&coWr%^~(K!I-ln_8VeOHn5#kRrTQK$vOOp4ntwbtjy865`+X)h2s zyFkZmDM_1TTCRr_p!L=3sepKhe~he{?sA-ev6>A$^9hjM{ORg$c3E$StgGBeVeF@6 zM~0E*R#JqhoN$mEAbQO~KE;Gh$uq(~Fo>Lp^D}*(;d+d`#LqeWqYP`f_pDt~gW-%a zogV%nrm#w;$nUK9hhOs#IY;(u{9_L)*SSYwEVrB5G_RClF-{GOak(r5eA1BSV%U_-;O0qCVyM|OaAsH+D*mZMAm+1<^X=-Z>OjD+nE&n z4h2v%>Cj@q3;q_4!2)BR)A;-q9`}y95S;*1jq#*pwLJIpD641)RcuDxfH`blHdbkIFk1O~vtON3=W9mSb+p4_3&w{a}m?gVy5usRvmiwr62~DgoHPP!6%> zkIP3MAKJ`F5KVjV*7iQ*qbtbJElPZv;0OcM~FiHNHjihV^dT z73oLgcpiI16?Fq2iI=-&Wvw%&Ns6RrAUOs9lSq1zO4`v5VaLaH9wAcPfp$W*3N5Xl zi~1VSl~SoacmTJNQkpkczKvCnr02#*1(lzHp-~ZSVbXJ)LdCOuwPeR`;}TM_H~Eef z1!Z(x-XegNB2S0~jY&zHorkx{kDXG9x<`G!3^*jCha@*igKd&NM^Yl^*^z_WMBYUt zceSAcEe`Y=Y|dY-A&vgk#M4ybMRww<3i_~!gfGhxV{K)|eLuRiF24$(H<37`>oqv- zaIy(#!1+M6N>Acr#$19h&QO(K{zGd!v=S>X&_fU&N@);|Pd0Qc>S)0LGJ-0hTFB>t?->j_LDctPX8eI`fqX=LuxGnjrOBl4sP6y` z31whmP*@Vh!jx%XexT3*aRQMR(+rdut`NxjB0r~hsJx_f-VzT-lM*a=tEoU8};2UpV)iuP9_J` zah@84IUM~9|KC{dG)!m!%^%>4=d!qC6e(qK-IUNBkun@qmtq>xkLuh^UT`wKG`#J{@tj zj<`feoNY(=gH|yI8ehwmY9%X~ibt|$IDz{=NY2TMq~|R4@^6ektKJ9VU8GEUdTL+` zB%9@WmS(aW#i=76ln};wI->a@Rrkd@BA$-erXz0E5s`Gn3LSB^j<_Zr@vx28Td*)&}XbFXa5gyrkUt8bO-o?7(G2;`1ao82voE>IG`I47dV=1+>t@^X=p_S=mRg z_iTD7QXrv+lhjKqJw!>J^tcEF+u4$p@rbEy+SfHLJ{*Otu*r;tjXh57@n`$1D;V%L z=C}S>H>{3}d*+K8*Q4hvfc6&??7;$N%4#lVH*1m9xivJ$tldYOh);)G5xpxt%SEyj zEHX35A)%}dhm-1(JTp3htjt!H@n%Pw8JS3}2Us=Iw%N$~TrjBRLGvZ|P)sVaindm@ z=gbM#x}S?!D0-gM9eEoMxcHI+{=!A|b^$+vk}BYu%mO}Coo5%If$;kO8m+1EXJQ zkIIfIc-xzuersGVi>cc@%Z*>@huHB#8g2U~lV$rcndC3(>v}egnwqBQ?#k2X>dND# zn~#=mZl}6=^$O@ZtGUYxk$9T(Rv7XyRyYKN9D;m@7mK4gt~molZZLrbuIT1RfakequO7c$Qn==!`06Z{zZ)D#vpfX$J!MeL&(wE8EKY= z+F+*F^)>?e+^d5X_5S5h;%JN;g?B)nE%`0n$1i!L`8a@(Ql-YU5HV zqGG-3nQ&t+1;sk7{snCc#83lZqyq+J!V`z{=3*I;9Nyl~ylgIw@&UIEFpML&csxBIJbL#0VucuPr zoCZNjDm~Jkm#k{2hqE&>Y5sC#CBn2|;ea~Wl&}OGb5epo<|sC<1aM~aTrK}76 zQiC84F|+0KJa8SXs<6J5y>JAvccA!UXQk*43q+Op6-b*abKo)P6F6{}jn2t5*? zRQG&>@X)6G6TGg637dNi1-?hg(mhmCPQXHxt-TY{{1&ZZ)c1(Mpi2G~(nqPvh~u@Z zy{=0H*yS8JMqpSf@Hns*@Q&_~I~QG7pab4mxiSU=pjpHXXZuOKH?g0A+uEFNrQRlP zE5mye`jFwVaE_!K(VDL6ZR*8Ynoz9cFDuweFYPibs4ghD63@o4T$=%l~2@>O2X zG6}ehI&UYvO(&WlvfTsfM0=+^7iTM)7ywNS^m?XBp1y5p;z7x6(*)g}k?#ny(Ccd( z%aFAv>YD^KbhF#qth65S%(Y^wN{o{78~nYR1ABF{7fcx<5fN)tqB5;V zBja}B)G`f*u9DNyM}*4Q>CFynqzKdof!f@Y{1(0tni4lYCX3F_P^Csg&m2q|6Ev0T zP|ZeKe?>nMpC<~Ju+=0wm)@{CmWyj(U1j)<5~g~jEg5--?Cj`zC$K-k=_H0RS)Kr<>ZSDfmI5ykp9Gr#UPQQAXn zL4h(CVjC*NHrwktSpu#H>@)>d3k)_>x{%;065N(4sRr+{RgvErv}%8^XFme}T$%RL zEa`a3m|{s_+GDGX43TS(K$rFH=VWiKuf}(w#&?+jt_EMlf~vfpSrTv^i2V`7%PJbt z+{J9F%Bl(z{t)3Q<|@v9!Ill+9_usFJ?od~-XPghqvd}@SIH;c#y|!AqrL%xx!+2N zVua0)Z-NzX!Cx{Y{!yaCD1ZR^Pg<=;NH!U~o~Kw?nM=Q;lE|6*IEA<8BPwtoffgR2 zyoUbX!naJxB^=tQGeZacm`+DqoaVykB!Y9@pg<3CKam<+CrLNah4%u)f48?U;m6ZD09?D>*ews)96 zGOGm+eFVCdhit&MmSr5P3d?U#JI;hvmn=FhHr^SV>27{`xmY_lFIOPcJdn{msbK*9 z7t%<-%Ejk+U2!7k&XC)eey>^i8k#N5%15_Z19Re9uXO?4&0wrk*%HlC!M0k>h31 z%qsSbA!+0iy+3~^sIx!M{bM3z?F+`jMf>QtTL|Vm!DoWcYa|ul2POU>0psle_VL3- zcs0oZWc71+w81rv60#HfYUJX^oBIUiG|?;ZtSm)42T-^&LEM}RshYk570{*zdJ=KKx2JxlNe3kw6GF0MX?{$c&3Pxr?P}9p#RB9 z*M41z@Dpbb6+D6H#R8{oewWMbsSwbrg#jbVaa!S84X#K47 zs|(}MW2(F|qRm=r&P0UTB?e?XD_X`}$y|J`!(GL$?`Y(1%cX2)W1~B|(bICY3Q?Rh zC*12SDRmMfB=5-vE=$YB<9_5Gq6ZNK3dn)3B8jyE9YwI}*p11qZR^U>MAf>qnj(|t zy^1ABgA>%+;xgYxed~MCj&1fM;+~iPAmag5bkZ|d)s7AQx+)e71f|ufkeF)t#H^EK zQ)#ocJLw6kHK7x9!&9ZoKes-0hB-{K=HIcl6GpdYrfxLn#j62DePFW*%;D?ZYyp1z=zC4lc zvEiNo|JFNLl}0F8-)w{>BL{Q7V4)w3Uy_^_b8sx^eZCeA%TfHL<`$ZrvolrSqo-!P z3`6;oJ#7fGb-rS7R^@c_r7i>3*KVuqGHqGSj|EkE=1ZfyX9tt@wcDz`#Op}+Qgh|8 zrL}KYo@cJiEwwgSTWbzn#@Q5qbl-b5KXm6lp@4b8|0C{Q0HZFh#s3Z2g@B2>(Zogz zy4GNW0gMC?445ozU>9})A!t$~50?O`A)$EyR^(y8vVK{hR`0de-coBH-fMg5<5sjj z5?%?Y7{CYkYD8@p<0JUMsL1|5XXg9eYyxP1|Ns5}|50|n^PV|#=FFKhXU^@`z{$wN znbY9-=$Z0_1o^l~7G&y$-t}Q}Fp~N@ePP9OgaL!tu4$@Y>iqB5dCL@jAUT%#KCBaa zUI{PtHO7)wU9JdfqW+2Zr7p^e`ogI%i7HOP%PTuN9LOJ6eMjEk#cs@bJ|p#w01ql+ zQ#Aiz^xvu|l3S+*e_wgjN3YnMD|#aWM<|bw1VtS66u@3;faj6|;i4>_)#JGcIGqkCt@E; z0Sld(Xx`0j^%p#|y54VKVsxi3x0&JNEj0VesaWeU>5=f~Xid6G_PHpAEW9`+M)Cst zQk*4d6wKw6b?yNbkfrOAK$#k=c1hviQU!opR_+|BbJZ~nRy^liHyy#5GpB{QqErES z#0%rZjZG=Rf@iS*4z>h%^hdVoPXiuXcwDx(fG0&e>@vs?WUnF2FYgytWzX~HHpwht z(3_Y9RoOF)57k1eO|Fa4h2lsZx_3>Yt6JpG-K9>)Xxymp{Z>lzVr+x_DISF{0WR@I z{z>s$rW*ra_?uJ?W9rJdFi>#FdFLZ|gOMpQf8*!&mCLbxanc`|XE2-fTf59ua=knNwKa%lkF!vcA<_u7&VNbW}=_3*v$)lbfdWR_~Y_+tWyUAAo zR?$6_O@;+tXU;ob0A_q8@3VjEDfrU4`P=Y*LE{sDWL!!x7mJA|KNd6wUaMgwNASE; z-S~NmbJKrGS&?EO0`@Fp1WkxMD-RUWM08fB@g$!>gf0%~36KHOSCks!02$B&AOpT0 zAW;B9zZ5`F$~;7E%w3odKrJOJ!1n?OO;67_MBzDd?cV!0uR0KsxUO!={AoUwEN;v}m1D2%i$kxYQdS`a9JRfGw8R8`AyT zFPm_8>MtK?DL_R7)fj;IrE^^rD0m~&lQ8uch|Ffh=d>0x(KpMciEEAkawT8BSF2!kzSx`Wj&gn=?W;@sz9awhc$a*EuPqZh?6h2Tg?3&`!o9c zXNXhuMG^=wHvNP|>d0L5bBh%7DoVODWJM_zZQC^h3qnv)5e`XE$Qsl*x24z1tS}IR z%SZD+;RV;m_guyK@3U$f@2kD6NbX_W1Cbw~irgHG%(FxBJ&LgU!uD*B@i7b27Jn!e zqd)e(f)^Qk!Hd0e8$f0*I|sk35>@Aws8LE{2nXg3@DSNxHI zyrYJ>wSwm5Vn*Qz&y6}8SCd9PpY^t9Z97zd&FvWSYxOj?o}@Tq4;hbna+|aaI><^C z!XCQlM>$k8z;7^XsL-%VCG8hkA+A{ z8RI65<~(M-OAfL<`c=9FW*IsFzsdb|^(Yw|pEUxV(7S%)c+hAMFt&|f!CSt|K+7XH zoX&}XWqdla0+Rx?*~ig+1Mzip#lvq>vKlYwAut2y(|t;$z!K0{W6 zSNb~c6x;}WTrn?DqCJYry4V9vx1SR2=GZ;iB6>y`JiLoE4LnMd^HE2C5|lUd`LRxk zwJS+X31l|21Xz32+Mt+V`oao=9MJo$A?Hv#y$uIpMcM4OW zvQzTIU~GDrkw-%tDDxYCJ4@+oBg$K;l@^zZ{gEc1(QSAB0d1>y?XEQhYkcW>86A9) zRe~+a7>tAY)RKbzha$1R3;%|GoDW9W&FSj;I-A~lM1Qn7(ZonJ$@}*c>B4ay`N~$0e0iQix{d(k6>tj;zNyC0lj`NW+d(%^ z!NB3G25jfHXzbYeiq(HYbu56%o$b=IC#B)Szb|#>jGDStz5xoGtntI~P@*?`hPnyT z!dZtfDuP5}lr|tzrTsy}J6xn3**WY_hr3mmqkrM@rX)y_bl%}S>=PL7jt>7wBxKHY ziy(ArV^HwQ%7(@-Q)-t^GrXf93aN+vXo|DcEyJ?oGh+CcMf%OI?)|2)dbW1q$JH8z zDUBlM4SSq7?1v%u+P13bZGw#74^8SA8F*eFnMqB@e_u0vM9+#CPko%I;g|&=59^Uiz zT^(FF5TfQ`MadR+=|n6or{ETNg}<&O-$rWw>X8l z9b%#IXC!%tJ2Ef_yV$I@i)F>lbLfPz6CNbi1XH8B%KH!wmo`HQz@a$AGRybEk?PkG zAU*z;9kRU8@<8qza57!N$jAZ35&N1Tyej*5;OXy#WjPNXl9|qSS#F(N5R5Ei;ZOH; z5}yHO;K=|ILLb>D^SD;2H$_-|wYh#l(g`^#PXXwVl{rTM4Su;C1PDkiZ13Dx%na%9 z7?eq!7g^;BL#)dsrCBVS_;e5X;7v4Xn?n+wiJ7~@nFGFl$O=?M$AHc1NybjP{Tu^i zQ}E%v74oHC74H%)fTE_`uae>hXj*3#w~OKwxqOxtfER8qV%gKPAEqM1xv89qw;h5P z>lolMc6T_GkSLML=}9kCZW|5IR8aWiChdcIAP-xEN3D_Ny(k{{(TcJ7C>*j$`bv$= z+xlRV!jl9ED5_vJ&=hHV5oJIYS17V**xRPGcx^KX<9f!#tj8Vl5uVr{j7)VC;L>YS zc;aCw;%{qIBKB%LMi-eF#chq2LPA;BS3o#RyVq<|Ur1_;e&&;?C;b$8Mk(WxUMdJO zL!?NFT>aYjw$MJ{>^S;wLfno(Tp!_>iiLc;NR`m@l~r6G<=M%HkLPWNY*_(#WNq=Gc= zkT3UTGDxA4fqBkreDdXQJP8|c8K0;|K+hwSA%`GA(AXKsZQ=b`5sV;*nHCwTBrsGV z5*WCYfUV1;ZqW?KvUph$Q;LgcUG?b%a(`fsT(9X|#x)C>lSpaEkxIRC?M7t)=%x0g zGba}rj;evX#_yTS7zjg=!6w)*54bIs?*asBO@$pc$oBr|fh(P9#27ec@CGm9AYT}OL6@5!gKsiFhP_~ZjJoVzoo4)bd_bD2 zd5!2FN;!;;|@FXr<$%7M41F_z-I z<1-os=Zaam8)b@*@v-WU$zoM`D;T+sl{n+gKtY?V3KFLX_4hh4Zp@JMk?Y!&yh z*t6ZA&0aWV)1%B&Cu}w8&hF>mU!g(?CtnKJP_^V7RY{|PLPR5c45TjvE?#Y%CcR|3EoK)wDKmaP>~qn zv-bfKfg}XpWtb>{!tn;5mR8u4NpV05Xyb!OF;pN#83g*Ns&^X`6ZkndZ(tS)43`4H z3M`|j%2+*59EI7Z|;EK+@<-= zw-EfmYktcg8JYn;{nV0Y$g*_>c#r`e2yYiz;%0Emp7FtPDy|a`T(20Jkj-rA6oqNn z!ytKyev42upJj(6pCoM~DY#oYQ{i8U!aqswy`UX5lvF##3)1n)J>GcP0|*BB7`JOc za7i!e;CD%0 za;k;P&&xQh=!MJb&{6DkYG!3*GdsW0>;_9l`(iH!j0M>_&YXYH>A{;oFpb?%$fJrv zzQFi^)qR|I>{BCEJ~~HZb;;E*Bew{xyqdXDf3+_VnFJS}@sB`3)AIg4j$RsNF#)yT zLgWS#H!XJ%TDOXjqyEVEyF;o7dD9=M><;-JNS^s7vrA4A!xZBWVKJut6!zQ&910p> zY1+j^;qr=6X{!W2gNL1vLhNS*bv2f!r|xG;^pQilr!6oj#NDb8cU|@x8hSR|4fM;I zW|Rv8m-IkjIr2yT0YOtZ>_Z5G49>?Xh-@Pj#Y3JeBUh3v%Momua+qu~kT1%QyyJpN z7IhR<3LmP_t|Utmq?g!K^73TG%vn4gPyLYP^&XiIgH=b!{044$mLy0ox2aqvTPIIS zxiXR^)7h)d$dZg0EFo=qvf}S7HV?JMZ>UrfP$?+gD&{dKpAl@j5F1nDFa;ORVvfrM*E+BL2T*;lHHd?Ta$3+^ETLC_Wh&Cmz6T+`(*U zTlGgp87!LPXU=X;XUifWm$@5X4`DKg9lQ&ma)y5qz-668=n11BLK!H46F`$MkdWerL3nL88zl%ak`YK#!X%Y-!1!EM`eyS?u z?lLtn1 zd1skOGI?C7h{Ij#LGZMbs;Higle4xmN1xN%mN>OU2biMD*+J33|Ix)bo&&=vJJ44` z6Iv$T(_7Yaw#gnzBnk}Q>gy?F&>AU>I_#pjkRhUJaE5}?ChOXOrYclHRAgrIc32N! zX2@EY&J(UY>{0OIsy_)r+{fUZWe$!p=b)N^&YV+ZF8xByy@m0)hY@agB6IFdF{(zh z8C!X6!UUALrzYX)6YzZUvgo`+3pg&_?Ta)d%(xQ-o<2LIuG?se`Z8?ywW!onF5c?A2Jve7%^t^R@F88J*(M zUX*0tFnJ%c=B=8PnGw0?<>oxYFnhE-qhflq4pbv5^x&dhtJ%+o4VJ$&EBlzxRUy_N|% zU|CUAVS$!vAi|I=Vi-;84#?!C775J!u35_s+I@#w+KKh5`R*vwwY*8F)N+&@Fg>LU z^oqH_Trt%g9&VPNnk+LYM=Bb~+%L=AEfMtNQ|(&);QW|2b*aG9x-n2KtOHF#q-OsD zHTxYc>#R;N&*_BB_O$zT(V5@VZg(dn)^U%nx>87^f}Axz0~M7RXi=P5O)c6KwNO-IUYtr?-xERXOj}eU=X5HO_H|UElXjg>C0@~? zy{N=46?!%*@f#g`+FGuugm5Z}RN^G?w5Y^9z$jFr3q+K4y^}bGCSg54SEcCYXHQ$t z|Ci{)Hd@((K4ji;2KoT(OPs*I+?f}r4=_vdmHl6)4~pYe{4dD#(OL`Xnfn%fXplge zSK77E&!i76DpV$x?4Hg>9~5h>grC&1F)21-GUPTBP2nh39>d?>9c7#NtRM_B+>I*3UedRD`1}$ztuN^Cj#> zUYt)bs;+el@hF005c(mAd>Z{oWF+hqaXN|kfCdxVi$okIG*GbDdFS&g`fRk~k2>}& zv;y%-H?2UBGw2s-O>6iTe4Sv+$qU?>6dJGXa>W)(;ANFN~#>$00{y(q?iky0Hx z-@!)@)aB4yl-yP&QH@*X`{gEXcxb4iZ^2VK&# zI;$S>WzH5Kk>#9O_wJhakR)+@fjW}ex4>1Zh;|*qZm!wgtApjbE^nLg9#pBE1qZUE z=Fe3&dMLikSCy~q9kW^(Ce=fUbNonGpnItDE-|Y#tLyHeI$IZ^&!%fkwxdCxuTz>` zL7S1}d!SI5v}L*pdOXW?3zSTQG1Z$g*}IfE`s(Vs$MgLkDj>A=>Ta9|*`g24lo)p7 zI*=^B%86WThRD641Dt~vi{>v%d#ESzu(yx(tzVumm!tmYd~&qCU({Lt zDKhfs6vlgkLWfhj_$}q|8qM;Z)=7n&Ow@5ABs7n0svNyZS4(6g>JspmmcU^uBfRPa zysU}*l9{ehl$0YUa@}RvlguJASaMt(ky3=1lNB?*v_TN=n~Gqs8E*#ZU8RCtw1aQ6 z6v3l!F2xlu#Vo)javoiXOvBPHk+(b7|DB;PF8Iv3`B`A)=eCd^>x><_#RaFF8})r# z#z3nQB#euUf;9wi9NA+KB3=x!7A;Y9n;%lgO~O+KjG0& zGDQ0s)l~)5I5f|jYIxs)J_Q)#T;#v5jC6kNSEwE_(=yIea6KQ1hzS*|Ludv6PRT}t zp%3Zm6H2RwylKZ*2o7F{Hfu}tw4{GTpT4wx9H$O)winX%)g3j&THh8 zSMI1gUvh1xBz(=wMPZ=>s^0*{Ol)L+**X`%HmqVLB_zT`&mD5ogD0qM6EY-SrbM=I! zd8(nRfmj4YDX9ZFEG_iqzUa^WIGFpf2w)BSRk{)9(g=BD@WmdCItOhS{RX&FZ^4_Voju&PTem@!TaOwlw)BE z5gtJemu`0;XNKIHO9hiT?x(CBF>W0*VCWJ^ku)K(Ztgl_n1W*3DJIrT;re6+tqy|i zI|>3hc4uTGk*eK2PxL^p!84bE4!m-9$HQ30r5w>k0E6^7av*{+W-9d?Hx|*9x=wy> zYcF=@Ol;$4Y7;-RwvpO8e$KHDq;sqz>KuJ&?Kj>^)YVklEFJf01(zR-{++3af?f)0 zcs{gH(6EsGo(-jp#iCfEtk9uB5;ZkVQq%zi0qy9Hq)it-VPY2E!_gBnl!nPXG)#P! zh6!oLPV3e$IYg4P=$FjM>Zw;Ejlg2_Tu}-!j)*=8fbHs9NGL2iS(opyt814gbWsei&mZ2aMcS+YK_Iw<0Q} zlGfBF@hfc-sf+(@D3(Zp^2s=V=6OQCG(Esd1ev&q%KKL?p}s{ZmSE{1nA_qP-IC|D zZb`P%Ez$a2URM_cD6U>Yi^Nj1)-Oppn|_Hb9F~5GnS&0Y$#n+R47NFs8U_=Z&mpP!XE68KVD8Jkludv!fa||-vU7O0$d}{FCMj}k z__fL=3VWn^UIVM$?V^H_rD?MBMw7i#0{1{jt^bl}b94QT~#>MuqT98ZLyDe#Y4>0H%&W z_ds^h1o6-==HLe(6+25iq>~>mOA{1_etk$E%0DLZCBicfVy0m>Pr`9Mgtbnew+Qpc zq|KRX*zMDefZa9S@Um18TKc8k5mgoP>wpMXmZ~}XHYOXpcE$11Ce8G4!%9=1?C|33DDIKqOLE8-jVCFrbXcB9`ueFTO>l>WOFt99W>-6avnLTmEKH?RpG1i*Mc)MKqb_2Uih6&#-KA4uzzBUA zD@;zF<;=O^mmQY{3!*D8lZHtf07Wwyq!xPRMcI%(?NcILwbI=$2e5>P{aAxXu!YOyDR#^&@qZ zkHUwu@vkHymRCxz=j??8eigcvQ0^r7B2!U$Qi{QzzX<{LH@2hmbO^O4Q{f4fAnSgU zhtp5{xu`g&upr2SX6ZY5Iyss|$J{=kS45J8%dIGMfLy746SKI8V!GJ5m)Ts@GaGq= z9QbeIzJhb}M>I;Hv?2jS8FGZlRN)8{FntUDwB%brTy&j8#w$!QEN?LP0Fc-VZ<>5| zT_=>B&gES9#|yV`%y}+6ozibg*7{ANb>iui0b_TfPW(}6BFxXsO%L>e8&*9-O$k`o zWmQC!C>Mh%N`mC=mQw5Plyq14*ngL67?+5?oUTh=a}m8JnX>y>XNX?)mJqr%bcG2R z?>A_!bem+t!he^H%rYk>5;x%&`X~gEM_y%ydIeGTP=ubGPw)k-t`=C0bRib&3~+;T z8kiDSg_EnyjY8{!1qYmWa^6J-J#YP76xbr0W4Rw7qaWzgj&Q1p3sJ2qIIfq}Byee$ z1n4EHNV}*kDs2uG*U3=#iRW`A#HIF;Y%YmYp;D6UR*U=vdsp3|ls-<@x3Z9krp0%KK9Krs?J*T9 zUYEYh%6cY(fv_WiU~JyggJ6grguWRkPyhuK!8pOykt?AXbNDB?V25g;D2cItXQS*k zHBCXOG9J2FhaL~03n!rt($?M1iO8TiRe~;@d)5p-pHIlhNg2ggw5}UpM*&H4r@kM7 zA`Rje$h}BJMX{|f*ivSmkk}y_3Vq5De%jfdq17gGP>QF_t~KvmL%XrN?IXX6@eLD6VSJ*!3=dW2xgpmHh=mhM{S+QqVGDSKVZ$)pq%*+lPC(JJ)TXt2<$REu7{WIUqw zDUhhw{4#Nzf{{QrLJR~=FjweD`y1an z>Cb(^)KJwIIoX(r5haJ|Z;_%}F*PXi=66 z{^W3(*q^&g&=P4)c^er#?4C%6eA^=nUC^LJJ&~mGZBe*eS@O56H_=#uM-f~E_!~pET*&#g3VGV+B$lHTSRid z@tHp|B?;zIgW*N3cx@-Xha|^GDMw{Liv6gpHeIOT`nt@yfL->!#&~v$> zez(Q%fF-VsA+mHa>`EDPg0nnup%RD6TIDPQ4@HX?)F>@E7o02yYvtWBK~sS<9P~bt ziCpvu!E(VEuu-BDUwH<`S0qgtXv%o#oT{+Yb7d6BeL!+4z3EiaapJAuE}2U%G;1jH zLy>!C51cD;3HeXU>oRNhLzvY$c;H-CmS%T6n^~FGfBP6&C?m7F5;>Ki?W+jZFvKB( zsyF<(Cx9{xuCmBtG}8?~SDXY@L{$&q(Bsp4OHX*ulBM%ZH8wnoXlfh7iqJ=3_(1kn zzM*TGdl!g%ozRfE`xiQ|YbLg>UZkatr-L3j~y=tiSA=X4sZd+`JYKG7QX1nP8 zQfdmb^-2&pJ!yGzAbg>WgOVt|Zf>#Hzpv$YO$s9Ed2B&nmmMkR3~U|a+rg3aiZ_)MuO@i`@&da?}Y(tF~)2w1Eo@atmzwpWX3*!r=?U_%J zTXJ+<>I+Y0Nhanp6$7ptnOlkN=qJxR7;J;FDD@|GV>-6#e#4PMTZ}FRoZRv9HZ+5w zMj)1X>{^Z1mDn2x=^J2sRM>y%g{Esvo56Eur*M)J)t ze#)qy@Qocc$n?^f<^3g1lSHmR;ao2quRrugxYF(`c-<-LA;9AG;{3gIwgvbV=O3IB zO1%%?5XyktYZVKWMZS1T%I&T)Ns@n z67shmA@bDRk9&lCn~<6wA&e(4PDzo5BaJ2`0_M{K)%QEeAdR?$%(Xo-YxKCDFexBf z(Q+y#3H#^ojSi6>chc-mfo0}{6lGvE5)vThC`vhPz~Z0hCjDTXX@9Q!JriY$LcJj8 z_JsyDyda2jEI$_g37Bs<=HpLnXHd6u4>f_C&UGGAF{6kA;VBGmSCcca4lD_)i13k~V)YySh*Lu&s|d zz0ZVG!i!PxNK2x4zmbuma+&rQ-$3^Y=oJUe^Tx{{2{*3a9wjwrnMc zvakzcr2UzkQkq%NLuNt#f=`^Ac;l1DWI6^KKD)NxV>q&j52tQB<|k@9EC5iz@T*Ly zQW-iqBT}znC?g`)VG%1Fhfq1xR!nxGcgvN9Mqg&K@pzE`m6E=J&Grgd)OE8Wmxd=L_8-KI;+|GENucy{Y49%r*^;@Rqy@S<6P}M zXItYA7c0JJ8;P1oY*z_Ajm?N;mhPo>q;{U#rxQ0x$|gyvQc0vl1kPzA!r!J7wM(LQ zPr<=ejdXFKv`+yEJIelo*42Y)w3EPahS1-y1Y#K*IRBN~Bdx2BlI55TEvq|2D|4C! zyhx5p#>jC4hbAktbG$G;O9P<}WtmW{$B4bb@I6XG&STW5Q*%V|^ zT9-#%L@X!5A37I2+rT2jwA=I{xniyIw!x~DVCY&f)4A?d!nXKALfa;hp>f=OHs_|t z2qd6^0H(UK=b0{Z{Ff@+oa4r@LB#9Xy*oV2g(sHzr_tn;DL#fqgtPRV9;V94_*~Dz zw2Q?Xwtud&8pB>bAQ^A9GRCOG8y;iLZCyeKX}afe+H2yK19<2=pA%yC?R?%T1=(3_ zSF=jSoa@#3o3SiKfU>@WofE@0f;1KYy&}5B2ErO@^ceQLCx#V3olmFD40=Qrg>X)Yt^@mm-(i^j)gZSj5>((#j&n+oX@!1G`(7^*A}a;ei`G z7@T702U5r{2O)m_7Pc~l&DM{P@;tCd-W8>HFL@%9VTKOFB=Zi`C;>v0P{UD1r52y$Al%5DOb93^ z8hoLBq`@BONL2)R14cBK`3Bznn0g@WePzYg>Fugd$&Urszs*-;Y{BwO@w{((h=EPT zBV*zg+>{eJM591 zZ#al~ltWTEx+QR1$=I?;w?lqNvVT=aN57V0(cT0YX_rYWjOVf0pUxNTS08bJI`h3s zACl&%i}}&Ds@aZ@_R|*O`AHHKYZM5aG-KRG3`I!@Ylh=7yz=diPF6Vqjj|;DgM7jG zXJeU*)d#kv=klS3?|Su74(_7!@ksU>$=9f!UDVdCc0LRJ7c`I;O>#hjpz&r9!vV%C z0&(ZYX2~F=OF++9l)}$Lu;z(%5W#L43L#@i1*hAiuU#P3{v~@2F@cEeC#tenXfzkh zT&ni7Awq?OOf1VI*Ej6KF*NQ8VVfEE*H-%9K8)%_f+zpG%X##iN93(|*OqKRpE> zIyYXzWMW@E__bNYsF~$&+?^ugKk04ae$COJvJilJjDdYY{&g>aNIl|@J*yDwU2#G? zCm2K5fDBLIn;Obk>kFlBQKaW*1W;k>^OKB{HFh~eb(ZmbFQTl{HZSIXHda$EFQcy| z^K#PCi7l$ceZkPdX_!xyuJ}V4$%g&M6T)^$wv_nrz%4<}-!{uifst{2T%~1rZ%c;A z_r4SyqN*MriIjAdb) z4RCdiw+NaN3T&{SCClG*mbY=Hg}fVtux~T7AV@l6EgN)}Kbl$4a&p{mW=R#yIW1d2 z%;64(v!m;)$C7*!$#ws#R3WN=V^tZc8uZqdIs>OI6%C=tgQJDx!kzl!s8KQC+ zkSljO?|hP7D$=kv!qaC11;-I?hZP%vzA(|LeLb%-uA!gk*Oar~JOZ#bLLYj$p4p+>Kn*Vi!HYsp|U2;^J>ivVAV z%u}C_l5@UU76ND&-YIxR{`4|aa}ECQD}OmsbPx=2l>KD_XA|fP4{YW0JA6(FfrEUX z+nqO{0*0L_b5?ieclPScGOP#qHY*OSk$_GW(5vQG2{dc|otaq%_@2bfj57AEc=zi} z1>A2IAO}X9zEV=t=G9XGi~xm9GgYY>()GgbLQ~hsyU>QC{7gkoju+Xy>Pb&*mrQ+G zPrNAUY#M+8Cb2xa!WVkqFQj4<;}A4HRVP@vCwkEb!J6|qwV0D}u^`I%RQbnN)+r;f z-99Chu|2kz*}0L2^q>uU6_|APn)$qQeGwHAuJd4 zF^7CEAp-fAWXKujRJkIKlo(=?Zhwg^qe)Wx9^e0XwOW6hYYcHZ$v0s0MZV}31Yw5@%U{gdo|_BQT48EZx)8<}R$ZRX4k zy8Db+49!JSF7i8G`{{oYd9q!Og8)Uwo+%+a2Rj#J?D4ad5|YZ(&q)NNwn$p`J7t{M zl%pB1(xUBZC6?@x7)@BU9U_OB_+5^6R^7|7&O31{ZKdrj9Ipjg3PU@B7@1Sg8OdG) zHCKy({FE;7?3q7uy*-%w3|iCoV~L1U8(x?YyWB597^g=D8okzc?|CPEp()aGyBx>Z zpZA6OfM@4{VuvMA>6h%MFX!1wN27JHPAkE%1IpBj9D}GFI!b)X64C>-clA(z?i(1* z`43SX77>*Fe37JS7@GC!45(SZDf4UKm0}!}DRzm!@k1o*81jrbK?nr3CgTt1l$WS$ z>M?e8yrq>r6Y!%T?bZ#v#o+Qav*rA(ITmY3+UaZF>pI4+1=Udfo)ik7`FnYnAxDTe zZ1yTX;NO(D_3{38TN9PJZ{+dofP|Tr)W$saEy{>x<`ITCpxE z%V#@uX$)J%$zpvKOoK43Q6sDsli(8G%d1 zlY=l7_Rby498I=Z3syr`{!#edxpVZ}4e+?gRL7#f!i$LfT!5iwUJ;k>k}PLu^e9|g zha>uD9OqwU406y#Z4>vHlSGLBocCfJ8E+Puq%we8FB>YvEBeU7XMBVqSj2iWS>M;O zy=^69^a%6)uEQI+_)+v|QselF%>+8v@8-9~F&mFGA(~CK>zeAPM=t^5(Q2|p*NdDb zlKI9Eanhd0iQaLJjDEwAXftsncN6~y9sdi7FDJgmVWUtPq@oeAyPk<&-j}a+v4+BE z6<@L+<6Hn?gwYzUQ_ZZ;0+7lqso&U-*<3a02WXYSm6XAlRh=}OZv{FHaM`NZD z(5E3kdPusyiiqfS{n&F39!xIUg1t!Uc@XBEkBU1 z!4WA<>PU%Yy73!_=~SNZ=YJqEz~W>dLHWb%!HHtaCX$SwBu3o@$aEB2sfN*%H-c>W z2PK>E;=J$+GDV-4MaOV>b)EI+T4`dL4}-)!)9YxAB{z(V*LZb8jq;qcV?bhST~@kS z=J(02Tiww&|5a%{Ml~6L6%0U;XU^O?JG=2$2FuOX$9M&!u}q2vNAwcamlgz3f)M1E z4He{scZrVuj5eF&%v)auFQC6iv|~*pz53gT2me0or_6TDkT=x(8Y^62Zjk4B4qir> zQOsN^?u=!Y;4_+hSIPGb{T&HrX}?eW#aQ$k@|!w+&OfHDpsg5d`L5U7l6eX40)|YLHClMeop_e$iX`=y)$7zp5j8b9bTE zyp`=fV^oiTh{2d`%rLQ~ z$7?Oe4hr2782&^R!Xw*}v=w(r7{v5B!lJL}(jC#=Drt8=pEUi){-Qph;d>kU?QvX1 z?xg6_WU~H@2(!-_(M{STCo7G7cD!r$+FEs zR}gkK#z?wiLb)PSsk?k)yP@iQ?NevV<*AC!ei{xgM zWouz)cI0&Yo$-S331(z8{xI8iyL=4*5BuWwQD~X9Q}ZWx9f``LFZl<7%Q@>_}v%dF*-S(e5ut51pelB3OPg?J#l4M<^nR{#b*v({L*FEXfRisT-@ z7^mYrF?vtmA#aN>C72tKyi`(qOwURo-#znA)OpAC$~*Kdd3S)kQnw}%vt?aX^qzgJOO=Yz%Pw6Ows)*hc+QQZ)}>67Af z4upeU#^>SLCwW7((y~hxyZ5Y z^OG#v?&aA&#J=(${dNATxh}(NIA+}m`_kB&A?`3;w&sQ|? zJ@FOnZ5W{{*m2E{hD%BF5}}Q0a+SM?bgza7J;x`hpTZFh6374W;e7lb->OUXIUnyt z0PFY_As*-BN6)XD5-+LK}E)bB&;_pj=Ah5G%W`dz7hSMmGov)ht( zQob&>7tdv+&HXLIctUXvrNI8_RyBAcNlU#%PKXD@GPh8xFFf*+r#Wt6VB_H{tnkjB z;q$C;p;-y(eP+11KwIowkN%qNvv>f#u_-Z+iQLSg|Nf1X`BA*Vyz%J^^;bFuo~NXN zQ;dO-;I}U#S;(ovIe)v@^RzTFmicVY@Jl>TNF!sJf9V-M@JWF~Ec53Q9Jc4O4*%!l zklFd{fQ@q-KVPtV3|EFOhMKN#dR!E-oZfx)g9*As1&Qxl_y)#(umiraskubR>*#4W zQJ8?CNX{sHf)ubVTv7%z^s#;Uv2&@4_ZN)Uv@ROkPPFBY8=2?*8NB;~!x1mlayQiN z57&tW@@?wqNnaMdt=((zn9s!DK@X#k$+1XCn>OZjY+IrdgsyW=4PtJ&ousc5T*CgRqyLw6u!amP=!wJumBAH(}!8yD>d3$}` zR9>Fq#jj+!37wY0iEOfbxFkrfKBr~Lm)v+xbITX^TD@sG@7e2JrKM`C^Y{M!pyRB_2|`6LHSSy!;`X?I{C=;u_z%y3=~mSJlUn=2O5sa z3Gsio;yq8gbrW(qD@jQ36bYti^nT`10CPtM=wL0eaI%ylyxcTaF0Uu$IX8dV zUpQ!2W>*0!3ox~EBjZ`VdCG1#@D)k$uzN(Ag~=;_orN-SvJ_;WQ1?dz;fJziu)W6M zeh*R)HBRMUat4hqxm()Kr(8xAvZW3ABmCv6_50jB1u^AjDMAuF=q!q7 z{JCQ&+sUofCUWqB60-idCwnU&e%{C?l&kGJ^r7rEd;~ac;@2bef^U5(J+d8K_jH%(pMv98*_WO=T`Mam(P zL{!eVJHNLVW!!d}S~j?V45Te<7aibtoOk{e4r40xMF@!WrMw_ZVqSON`2aB-Zpo{a zXc+J2(i8!dyBA3Zmdt&jK!KfN`6wxn`y6vVp+WWyA3MwKTcoNJVocuaoHHs)Loh*d z!wz6chSrar-|Lblpa^~Ccw>~!wrmIj-|@H7G8!+>bI1V_n)ZCim2Pg<%7=5#=N)3} z;45k7Y-L{H#kvg9Pca;WfH!C`u=Ut`08#8xjG97m%Yp=^tZ0LvNnJMn zzww}zj^%Z26nxMrgt4fkL(fVFJt*H)&TW!1484@S(orwHd4m=-NlEvUS$ZMwePEk| z4iEZ;WFgIA((H8J;J6y3j1HhO{Lk}`H$vndmCLao{RgsP?1UeBSAIkp*1!-nWl3dn zh;{@|=_|_e2zTm*((73v=>BVJ(pV#7^SZD$j!Oaaloq?-vF+Fw4!}Uvr^_xxi(l^D zs0WqG`T|C|fp+C{wa<3X7lnGHs4vJOo-2`8j+)3Q*F8+J`}oLzf2vXbj&$QW<8$fs z+dLEl%5rj>K9G?qN9%t{g{df0 z?XCYVx=a_beNQpaTE*?HwRomqQa-u`BxLzQ)`&K@W7TfJ+aE7*t+`6(;1A?@Eb_w#= zS@@JRJ`kq&f(ew9@1grX>Fv|)M0p;QaL;z3fC{IiDghD@%0k_lm$d~R4?J`#)?Mf^ zKdGgAyplra08;V#z0M5>*%8yh-in z&%o9e^&C(gwnEs-@>Ek|8ulk%>$Rpss~%xBdF*GPEr)!YZ=h;xpj4rp$SS;*$D8DB zr|2;`@JHtyRg#0e+yg3YSVjM(z0QrI$25F2E3e|c+BWAVI5S%}Ak`2scb7cejat|pP^O78`koQLisJaCMtiyt2BQU_ zWuXhyLO)bVSuAYFQfhhAIAOrO#>=M-H#hq);$74Wv4M~UPMgF1`v*_Ojvb&VMR$OV z*-$V`^}i=*yZduYY}E^pL3a&fj@}WeA_#n`R>4<_i^Ep}b@>)PB!+1C zCWf32-_>r_Q0kF!I8$2zw(WP_z|OURohQIfI4_LPXAV@%`7D>8eS-MrLZDU!wLXY; z)eK@pnX3p_xTSp~SOMUa9>m2ImBuXUu$U|V+UBjmMsXpWb}L4N1-hGz>Gj2{c(6@X zJTS)n9T*;d;eq&tC*oK0GJIIv4R?H`TtX}^C`a=}a@j|5RNNnGmzq%)(=$|aV`5TE zsDLPuY5rX^anZZr|Dw0@gOtln0?!<4R}g1Mkv#>nQ)a3C=-T(Be%R2U@i}iy{aVKV zuwp|uAl^^}QP|LtOlHM~DxNgXhh8T2gt!UDk~@;C;+y?s^1(35#?u!WdbcmEUySiZ z#=S@o0DMU8-2##9d$s=&i_b&eXTIWytPlneD>lNrWd3Nl6sd1f`I_HxcX7?ILjQSjOC0r|WAXAPD*@3gNSKCFU zbd4C5T3$76l=dQ5N?u~IcPP$X<5ktxEt6{XZ(?E}S|fQNxl>F}y5Z|-4#2(heE zG)j_oCUcii-c_e>!#VO+U0mj+`52;LN~Lo*lPTzPNo$=X9SIv(K2j{-wMfu$K03u_ z1>dj&ir+epXUoaq8yoCJg zo*weA$91X5zmhp~LWfj~z#_6K3S%tYnCdcveyD?(5mU3wphY?ecH%bhEmqGy*eOxS z!UGazJRi%PsMEO5A_VI#e~>e!x3 zTj=C1tR%N&#WD|rOTO^L6vc@d{X`vw+Z#J{sHKl7YO8t5Ky14K;_Li*rzWlly`h5yqU61(3db@R=?FQ!tN#t~$Q9Dwc$?3Lna9T4T%7&3&<*KcT8YG8 zCh?&QJO&z-re;G?IGINz1I9#GK*S#rt|x}4x*0fsgm;_56LTW=nccp;h+VA--63Nl z_Pe`%MRAy*EYS^ozPjOK&WGtg?l~V^s-4y_2*WQT;oD_qh3ni2$p3vE1oFpc%?&yz zan^Ws5VNMB*9^HrVq}I~s*=Eb_Bix6oBfURBXbk<0j(Z&WdlL68k{M{IEEC`hphOV z@Z=nZH#~W$FI>YcsbQAXxcLW{b!9B`zXZcW=csJH@MMPhr)CHaeV&Xe!H;^TadUn~ zh;fc_fcUIv&TTSj`Z4;;9%6LmoZL6I#w~NECQIf_O^VE!8kd?gW3M!)j-SM4r>%*D zXcBb?QSFzr>!9I*N!#aVUZ&9&b#y=qb&;xQRVrn3!_Ho0ROVKgao3+{X6KKyqs!pKA8rc3e2oa9Ux!JRu0N!!IB1dQUP z#_YvDBRDVm!W+6I)Jmizl_P)e+A++VCg(lPMl<0+{r{K0=+yv|zk{Z`-EtcdO~nG2JH9-EX=ZOxMbHfjolDU(s0Yo-)h*#B|>^-O*+`E8pFw|Agtz9HsMH z@j1Qx3(R!oR(jL5(x;mB+fDbR+0IjDx)El1*O=}nX8h%5`k|(qWxCgx?g-O8&vY*~ zU8~+l%<}e|?z^Vj#~i;kroYy77n<(frfZc`Zu%#fuG@4kFx_)ax3B50F#EONboZF< zBc}VH>E3U;Q_Or;eeap!M@{#z=~kPrm2TPyJuV~7alFEG-KLvix_wQz%S`_d(|y5o zcbM*2>j8MI%eBibi^qLoXu=`T?(*c?q zm;XxbA3S{YBFQr>p4(;%)zm3pU1ha$>*s4XR8z0~^KUle7wPc2AJpmyDTu$SnnfyI z#fqgmy;YEow#~OHu>4j9mfxz#^pkzDD#-Mcy@#LdJ^W3U7qXSy>?x72j!neJlKU23{3Om~gx zZZO>~rfW7=DVk*9`42PP{gG~Oj_Kx^t`+Yx{aL14|FKTL(sVbN?meb!)idzn$~SkF z|MOa_oG~YKzEaa&VY>I3Zj53A7i>JOn1BKcA0M8Nu6%7>25XMHq*6zrQ`EVcd6-a zH(d)(i(@+78q>YcbhnvqyH(C9Go9(SnXbE6y3mb-7u*D}>MLrO)LE z^TlV={;DPJVReh=*H$cW534Z~>g=}Ak_GN7L+%9?RfG?}!sfp63b#8rKeQMHH8&b) z6}9v0$yPkWGp)E}Sa4RUds1apg?pIWTjQQqQ|~TbP+9N3;!5{`0q)Bxt3y={3o6{> zmdvkTJbdxB?g9LFSwr=LiiPeQ{L{SCZ9V?>9?GJ8reL*Jo}Rjnr9UBbz!|D^uNdOKP2qZNMSVkUwL3@n0RnT~ z@-b}1kRfiE5HoOCJg~rhJGoA4>uJSZH9U{}!aA&=cL{kCdUA$Lqpr@odhF=@5u>jj zJ95m}(W9>#J0c&_H2(|*CG@?!AV^Hk3ir72?!4i7L)>Q9_?GGAw*0iMN0Yk2by`6^ z${D6INEdiO$L+3LURfVnoKvX=RY$1s(0nM`;04!MT_0QrBogAy_DP6JpV;;R?%O4)N$t9c z-C1bezu5M8{}!I99}8u1bdP7{Qtgx$oTdKLsN(T zS9x=7Wy2ENjV1n)fNawEyK&Zx;)(uZ+l>>a7f+gmzod9(P{L>UXGoG8+3-zO>88(~ zIgxbN&GrQRC1nJW#xv6+iS>60S=HWA`KQk)@lT&-yK!c*a38iCz5Yp)W}{Fv-K%O2 z_*JnsvwGVkzi!bC&*b7+{_mNsV?R2x*fV$bG=GWOo!V?OJtf7Kf7bNC^~Ez)_3Te) z&!Ei7+Gn$s_=CmPo^)o(^niqWOjo`qP7ltYN;5b6*W$^+;%T}TAQC8M_d9L+G}Vsl zC)#Y2`8RR;G=34YdS;oek$fdHru(OW|7G#Uu_VE?f#K<_wnBHU?Ft|=px&h|E&Jre_zX20w2c`ZT2t9GE`AL(dZ0Bpn$bi1&5n2ts~cJOEWQzy!enK$Tb5 zT}`iM+sqiX8>U*ajO}Xq|7R|46H?YXpEOgIjm9ML)T}GDb`Ae({tn#mR=SZk~ zepPM7`~|m4rUmYsZ*|YFMj%sB8?VJmKgOLSTcpa0x_FlPb#;}Cq($?qg(0N2y2_er zvtd@gvEA*GUE^s9&2(4gxpQik)|1~|UE{8*sa`}I>Kc~HW~@R$IHR^EBo$OIax;V` z>=(*b6`bimK+dCVSMpD2gGGMTRKzb+9LFY8TUUij%yO+yt(!fwB2X+?D}`1UG) z16`T1eLWPkTZn^ zuewpRjy!t2M&*r3NH09XH>Drjqdf{PA!B5Or)z#HhEvu+CTNkenJU z>WL5RYbzEB%hU}P)gvB-)==U7sh9vl~3@9UI{LfO(?p1`TV;0B#ci~GyMp`n_lTFyGgO&q0VBZKLfr< zU9}ZLQ4=Ppm0s|r8^1y|OO^_44K1!%Qdw6ImMv_kR?|r4PU4@HzbD>Q)iA%~S=&!3EfwGb9q7LXXUV2=JI(1)2Y^dT?0GX7;m=UVH7eHt`24q0gotHgh!WqU_^zI(J0?aEC;Qxca z1bMrHwzNTQP+zGZ@!#-gwa;H&sn#Va=^EX@!B>qKKFZq1 zs2cp$3#)3Do6!KHcl`8*`h*0h$Ip~CwgS15`s)!tiAAc41BZC+0_@)9&y)#nRZoIp z!$(;F{)TRjA3#TIZ|2;jT=)3033sRd@`09uXQOvaX}WvcxNA1%9o=+m@wLAHe&YU* zUjE^=or~Yv@IPH|UwhniAH4jFmG`9o^IGftY}mws9Y;rBRCw~?;|GH`&nW!S!_U0$ z98prZ>*)crzjw)_{O|+$d$90m=PS3}RsZY4(yV<44-ELv!hH4jXS2LV3kN^Bdd{lWN6m5`E7ZMd zD!eLnXI|>grox?{=9F*VvD=K_Tlkz-1TxdL6<+!5k)`3a2MP}qf9t0D0|yF=^Dln< zKOQ(})^n)v{Ed(P>G@y2Q23?e`uqJ&ubKJU3x8et!rpODzNOpo;@gEkv>7MAxb#@z zjN+LkU*hV19V;Bz@&o>V&#d>o!e4yi=l>7Qayko#(7I1^Ity!6!sCU{-T2g!yt$v4 z@m+;k!@QLDx%i8uZ`(3{_i66#zC~+)u+#b8fAlNT<);?C@w)t_sWdj5%XBk}G`up3 zjEif3bwS&uMO$W$8$I*amznX|MeCf`cC|MSE_&O2@4<7f`mPzCS9I!y6~`{WZd_4S z*{J-7mV1g6++Lfg<5OyjLLYo@!nG+8?JwG_-L792O%gC(bwc^u&YR`2@z-`<$YYNC z)7pLL=|vlo@^?OU^l6Fb8qm`kUP(=O+;g|~*&(4x{OiNNWd2!rX}K1jS+0d|mTQGu z_-5gg}_N#Lkw47eX?w-`?%rqPo09(b%Fmk;vJ9(p z|8PFzcK-Tp9I$cF#vvOumcX|+w<+pNi{lIoM{-?qyO1irzq*WUuOcM$mqKY8(KX^A8~IUa$f4giWPPHwFHzgsg;}P# z&i>v7TWvVJ5XSP?$53NP8w2P1c72yod%lLFO~@7v7Y^?~03&J`w^!ZU_izN)_HF7X znQ42M+9oq>mz(~kGHs^6=?oh$o%y5w9BJ$}{mo?9qNcx-nKsj3D#O-j`a6|rGyTnB z3!F_kdbF%0$~{>PSngW$T{`VgIu>n*x;qk`x;WJ~^bBpu_WOYkd?0p%lEs?+E-T+X ziT$;gZ!^k;2&=$&UHW>o=5%tW`f$gZg*6opBgdKB-FNN>$7& zRgF1PRqv6iP30+Lk5BeAdZi@hlal&eDcMvwm!Hau8>L<;jpa%y*GlViq;yjtZWQuE zgoG>H#C0F-e3K_!dA?U_hup4ZMv>c-a>uipT~QrxLm|p@iC-=m$aY=O=W%Up%W<7s zA9M$kSuXEIaLdB&JbsrTgnpoRo;4kRfIyf zBMpU=-%CHA^;D_*FcMW8b+Xj$3}X~hmRQbWnKa!!u5eAZOR^I_39J+O0k3%;w&QZT zE0<+Su5pgI!q)r}GPsXgXFY+rf|P&S7td|>MsuvV7$oA17(Ql;U!?PTqQrDJ>kJaG z@~YRNm?@a{$Mc$vYQI#+3Z%L*U#jcT_XOw4Q>8P-)3n_cepx{uT0y^A zK|fkSA6v1fYA%>6pQ)_Pk>c1prMUhYDK;7 zk)80Gwui9KsNL@t|2*f|9dn7=UPVsX`C01LxE8{Z7iavHXXQwdaaeqF-f2%fyV-5u zi>RACX&p6wN+wyJJ&)`vA>DvS0&P1bZ}!vTK5?&U{|VP(dX1y(globz^}lFmP3DNh z>f?8aD{8feu%@N=ICfaVJSp9R9M$-O9tqA4NFecX@z&pE+8^iIjG30@&*^rCHOEn7 zxm2#ok$`d7$eqhcWlt}*wPqHuX8b4aH3ErG8Q#VtMwok2{ZY93rCJsdr`zyliSOmC zu;#g@)XjX6OWpfr_^+s2B(7o1@h#tUfBj?p(45+8JW@03lfn~u%q<0?_HQ9a>@+gn zv>p1AGtSC&9;r4y=OXtr>G68F)UL1kVV8VdhInY-pXFG}5gsU(q+jBZk_7Ei+cEQ5=x&jV zkXo}{5{_%aHCb}aDDyJ+2*`}gYO{GUF@n4E98(WBjN#2TN#>LaXl51Am zIxMbct8GQJZB@9XqVaCp(4d4z$p#WEx9es06B0Of7h}#nru{J2*6KA4Gk*u;z@4JD z_!wLiwNo9LZW6$syvd)7e(;IRI0@@azjC=-@{CW2d(M^8x!ug`TA!>vc89D=+|76} zD1pXLlJCQkdO+m-amEBY51DS>juJ))BZLvc$dWL|N}sH3bFm)DXFcMVl0Ei%WK*te z!hTl5!}!ho#x--zq-~jdHS-8BDjucpS6F4wa4+}C@>$wef-!{qGego_Dikz+{~~-ePhpv zkFZX+p<~WHx=Qd_b82Hi;!m?l85z*DDrr;m9_G{>`jVG9HP^g$FV~NldC~r(^_{cC zPTJTto<+a(Lr2_3p7x&-?LT2_-B2m|TTZV&%bKT(w3mBmpT!c01zA5-nD#Tzu`JYU zltcZc-9~{&3Rt@oY+@!%d7|bs17lJ)EtZz z8;@s8%alj1OXkRxLtfcAkSp8ze6qETwWv`k6?0{&l9{6E!gxV*e$*c}YJF1M=aO>P zafPuwDdc_>_OMRBI3O1fWHT1#$V%GFO4`fH`f^$M`r=x*<`S=5GUbvD$t+nmCr z_DMUgFP8o@B4fz?c6?5^p>tB3h^ILHEajH|H-tNA$b8zr!)>*Y zJj3|uGrH0<*LSm(GM#0}&ynzQ%1|GW`l&40z;n+Uo_m(_+*2}NEdFEkp+p7i!E)2@ zJpM0L|MVjb>vTKgGjt8f{8kfU9AVt6Oz>>j=q68D(w}3<6G+mI$LTiK<;gngtD5>M zq7L(4W(7B6txs!8c&?r;kiui-l9wnWPo*-KYe=2Xkd(%yYh&uzO&zQ4Lgb8@25lXC zrj4&T&agVq;7156q``#CJWxj8%uK^$R3Y$?8>AfDgskLHE#IO=mGUTMfn$U@&^ZKUp< z)rOq1<8}I}tY%zdZIKmsg%{QqUVV-_EQ8ApIl01+&`R>Nf_b0yOJH`8_4g-DyR0;% zUayf?_2+au!&Y*FMxo(1ymP#vh}!EdrV(rG%ro4vVk1;z$Ts9QjZdFtj`<94eZWxL z#j6at&rWBl+ZnDhlr06u9l{#8c_AHcQH`H@WuA3iVvxS`Ng1v+~R9`nw}Yu5M}D|jC7%aZbAMbt@vIw_F3^B5x-dp@XXn$MDjru$>q?zHov*PU)> z7=xelIft>@*W;OUPrI6HYI!HdxLwJZS(qqb4Drk4TMcn-F=STb)4F2qsP3!_7?bQY zmb#r`jOr}jX)sn?!t;2LzD#-n(s19({Wa$}w?ra_G$Gcr2V)5Soi=lvWv#4h04og7 z@R#$g1i5pSRo_ncVxMQ9%O2Jm<~ZS%{-`1U8#$_B)W-Tl-4|SC$TN04nQj^(esqnN z5mw0Kn{2G(o$>2@Fq>VnbuLSCR!}fDVJj z4>AujH?v-8-p@BVBxUEz={CH4+q!`|+3b_e#8Fxwl+xGp=SXEbr8p^2wxFC-f1#XX zY?768%Tvo{DyJ*r<;`V`p*8D#vhH-D)Se2+vXezpe7sn4r%EJzlOdbBXe*>;6dF=^ zD{(iKNz-Y+>^)v6mrVsIf3d7>E8|^bJ!`zROV)VAz0oHdIlAbqldP|jMN%|SBHq4I z8NADo`v)2GHEwggpQr2nly`=HTjXXPX04B>hYk7Kh#`@4?0z`!Guh(pp z_P1Qg2!|i1+j@t}yHnQq)vP(IH#ydob{ij_V9Y=k=6Kqsx}QXzvD01Zc7`#ZKStd% z=KDl_FFVhAYnJwXjCb(~`lDGspM;Zq?|sma(mJawnQq!B;mqf3!U^HDY|@w+&ZzK7 z1r8N4{|h}M~B<$GXYt?C$rB`M1 zJ-&Ed-C4NP*K@1*UPK*M_3%bLUec`bYD^d4r~D{uSK?7L^RUMiHFTXo`^jhC$kp## zt9bUX!+h}x=89=U;)GE&T%=83Gs?0l^Vg-!m=cfa<~n6E0lAF*<8*Pr=L zpXVo@zg9Hn($BoIVw3q!f7*Nx`joZav%VSSiJNEF=ywe1Mf%RAO_9HP#=ly|zm+F) zrRbQ?95eO$SCHG(4`p2HcE({;WlNP&D((+k-PU_et?R`$XWkRiFuzR{6TtDOL?Lx}RBtkgim;-hGjHsJ%Gw(1Y zgy{U6V$GrJh32iar;D+xU-X^i?JDFtq#fx&Zb5EG?nOqCN0F~1{|$Koc@_CR;^q5) z8FCi#7UVo+E3zB84tXzfGxBld)5t@}SCJ=??;+14+Cp8z`b@ILBfL|RT=7XBPi^_a z6QKlzxkR`>QYPh60k@!1s$`i|%W_#EE2TBw($$*i?CmoT;D9Q>R2%*e0lUZ|}_*Ft77E#}bNE3(T>RJYDtWon%M zqsZ-t68kFhClXlBErEmBWE!L}v5X!CD|_wf?z zB1e2{u}uq*O%Xzyh1V3g)NzT>)XFBAE@MT<4)$rmh(#;EbYN1I&qqkG$A!gA||i-QcV_;_S7 zj2+8EixzA0kk48cYl@LCTP|xyt^6Nc_UI}fN4Ms!@1dFFzdWzk8TZpetTh*IGH1fm z+3##=Pq0^dFI#UrTHj%AK9-wYm$fE#xAZ2=ZCkK*vUaoMYd7a8up@Dsei+`aljp9M zt{C&kQT44Gc(=u3x=R=agt4=ywbk}7ugG?`DkfU(J-&p$OhfGGYfo&aj%+i07tT@G zvHLtLV-gWIrtNR*Vb8y6rs|cZrtMAkmb?8;ZD#uTI2(I!BG#l8+|=H6pqn$F2-AIY zQwQ7I_!=#2t7SG4xn}#GtFP2U5;oR{t+Ti)WPeLXNB4fdNyq_m&3ixTv@JuD=w@Rr z({sL+LVI@;``kLayP6L5#(UU4c|hJFEs5>}A|GO}k}e|>a=^L)tX9liIl>&U!+byv z(Cm8UUg>FlKX+Ke<-X)(@t!sb$X863M(GFqM=wXc!qy7)@!;>9y zyBz3kZM}&w2h2vzuY+kBT4HiBF?V(!qBKv-fzB4%>bJpm*ef5F1MF+xFMVbn_RD*$ zl*z;AB+(gX*SNsir54+DYVVY{F6vFK#M{JN-NaPQ#U?$>EGSe-*MasM5B9V+v17HT z`~6KVJvScWm}e^_+h*H8uyCoh>ri`7cULESop~ve;iJ2&l_t@Y&~4A`(w3&yzSjK* z6Rk}d7s^Rb{fV^1+t+pWuA>6i?e9sfYin(Zuj|;jZsR)p&Mvu5Wzxp~w2xSOx6{Lt z7$_&(;u3$thi++fUS66CjRK<8ttvy5B6|af!WQqi$9#*NaJAh*Fv`z`Bc{By>@5r?%7F?C$CXGq<~v} zo%^bTtvxqKTYK2K$LS0EDFvmZXRUg3?3c&n9EY{BO`9}EIjz>cX8ko%LECyMK&xtU zwsC2DuQnXZvpw`|ryuu9UzWW~j%K)bHv_^h?IDNB?WL_Z9K4aE2-3McUz!f-KGvoi zXvghj4j#H~p%66q{p_~ZQvn!JY&*qa=wXA~{w9u$W2}0!y|=wH-l5|Xjdr`^`c0e| zYWwbJWqe+Y{Te-{MMo&kVd6Jd%u_n~%{Xb{fCOI2FdDRggTm>X@+D!nw){v>`ji*- z|HiQVvv7_k+&lGNZs?hyjBbVoYS58Thm`-Mf9YRe|F>rU*>{JYJ8(juxUFYyOMBxD zU71@e4&HlNf2MQkioL-;w{w?`Q5*N!*lc5)jd2_MY`o3JK^uo{OxieUV>%N_`y9}R zZJf06F&oqVu6&23{YU5TK06=7Hr~G^UsJaGsEyN0uE%V5hmG+i*RS2N*DP4t-|;2a zr|kNgw(+=)Gd7;IFJKlheAsg4) zSZ`y*#;A?g+nCOG8q@hdWnce=jdM26+j!c>Gd9Y+wa?0Jqu0iCylFf*l-4ZN_P?|b zWcv7zbOc=a;&ccSa>4-X+H(VaYd<=9va zECRM8%CT2Gj3~EW@%wAY8@i&r1s*B7;xKY2x?`os257xsk+bHrF zcE!?7>}^61f!*hkXLKib-pP?yuKaVG2@`OcSpQZyvFH)-D5CkF1}C;LFJhkrpS*(4 z1n4v1t8XWt=yRa&Doc0r)}5So<+iV-YtP_c@vo6tbj8<^d2}aF{k6tLPP=m3S6%~W zx5#DU$I!#*iZ3G(^e`v2U3)!si{1>L+XPoh?cg0P+-vkf@Kx6Rs?UMvv%=7J716cu zjeH-#?&Os_dFaYVe-QZveiT2_!99cTs+i3Rx)ePCZbkIFP6YfkvKHOR33u|voqY1W z%po20(4GA3Td<|M+lpuU zx$pQ<419$Az-Lx$KmzCyaNVsUA@nd<{ZWgjt@ysbqF-ZI{A;8c-N~U=es-FV?c`f4 z5Bqnwvu6VTie&@Peb5#E899N@Bh~`H+R2M{a;B9_{WB=HYvEHXHV?v=MOVBF*@v$9 z5YmROSbaBjh3@1?D_8oVd#E?{13raJqAR{=>nU*Ur>y=S2CF~ESfufQX@0b#{*Yq| zyJF7gsb6%(<+iT4+14ZA`cZ3q3xf$n`O%7p5#>WGra91xtL~?q*cIP`^r0(Wj|`wI zPTF?G=?56Uuq(cRJcjP%Fe|tD(-VwK*cHEwoIzJiJt*RbH>~*VBlK}}Cl6Wq$!AZJ zAMA=3AqjLR5825#R^IU)ND@CLq8~+1f=?mOpey>n%shb}0H1*`91M~!nC1;DhK`aS z?1~>ncB3mkgj|oVsN7(+J2}G29ex(+!>;%<aTIAlSNsaH8(r~fB!;fo`84@NcXDr? zyj71}4dV!=N#SE2{NyZ;AutNy`n&hu1^p8A!@SAWe|4Ik9WMOBV!)$iyR z*cA_+AzgGQzf^grH@-o8#jbb|nN>faevwp;sp8)o1_O!9#23&@(No|P@IY(Po%~NH zH&i*Izw_`d1wV@Z9KOk*EA}8m=uQr(azkI?TmB?=#Z$-(x|6Tz#{bHZ;(HGD|L zf69l)h_1M?z>r<&imwF71G?hnMV37Z{v0lg*5@4fGMvqR{5ZLq%Hh1I0uBjw#ZVBA z9=c)xF6MD`#SY{ox|5IT4GeuMul(ug1ZUZ3V8Dn5tAuq(cV^r0&^;I>Px_N;t>BRk1A@hD&5H@oO} zjBid(qH-0BuAmPRRSj#X)2qUGXU5 zh6AYhG*XSOcoGStJNbmlL;UJqLn7D}pGBI{6%WEsh^v1v%_~$q0heJ2yW)$;6uRQi zk(207uAp)W!^kP@iq|4%(Bt5{->H3u`T@^@=eHU?48DpqpgXyK$^m@eyU81N#eU>Y zbj9sW)H%B1)ri`g!M*VFj;ju)xq6B{t#B-`E8dFKo=v@h-$&}vojg3{<6ZM!+5>jQ z1k#7z59Yw38$fq*>6BBKe;3>l>;bSHnMHSU;*=Zr_%Qbcu9=g&=H$95=k1YE`YnDG zH{TDx7hUn$2Ph-D;*XJG^b~mS1bqkH$yIam*p%N^l%&nzN3jl>M^{{nxZ!{~IcmyX zd*us^OV|}(Lw2Dnu6UTfgzn^6d5k>F~|0-iv$UnovYQE%9jVCC1icj(n%hwAhf#arQig|XiTy5V;v&=uDn zr9Gf4wjk04?Tb~4HZC&xVwthzOn^suG3v9gsybsa# ztoV#=S4`QuV$~B?*lKVB(eft2$TVeuOQje?)UJ4!tq+5zo}_H}QLKH+8gmr+EirTa ziGl0CMIP`o4Ay_!DtiRH@;i*r*qxj(Ctpl?WPf`c|M*e-GBS;>_&73yJ`G;>U90Um z`CiHcd;A1_4L^!MKpNm!Ik{WP>AL+SdBCptdE^NCFnGZWc0R#XKeFmD3?4>wTpa|* zUSyqs|4Hy&KeqfggSr<(>s;|5qW829d>)y?{~UPHPbdpIzqKaMAyM+l@2#2q#C_;` z-j4DOJ7^n<$|Y1?QTc+ZD=H6g4qb5osU_@x%|H4I1w;BX%cop1*6Dx1p6h1K&NV&% z#lCxxo%5cNJ(F@7EZBl-CB2Z zYj54f7v=jJI0CV?^M;O_LqyQkyS0v=S-G%R4_IyKUDw&Zzo)ym`#@qHUzaXy>Fr#9 zXk(ooLf(FW@6`6WoK|W?6$&*ZdJgs`IJU9dj&0Sy5ZigH%y5L{>(oI$Qr&F3vGi~( zFR8S~qCM@0_+EBnYwyBE=j9#d*H((XyY&!1C)J_e^1}BCl zh9{B}lM_=D(-X%hW+qNfq$W;H%uSr0kfb*mNCuOkQcak*SgC zk(rT`BdL+oBQhEo4UUFJSC58ABcr=Uqoeyq+eYJ~eWU%O!=uU3$Cxk(GovR* hQ=_LwWz0Jk7z>Vt##WDo$F__`#&(U7t^aTS{x1*kfvNxi From 3fd719ca1a0b05cb5c92336a58b3ac9be611549b Mon Sep 17 00:00:00 2001 From: "Marios S. Kyriakou" Date: Wed, 4 Feb 2026 16:12:22 +0200 Subject: [PATCH 160/183] update test files --- epyt/tests/general_unit_test.py | 34 +- epyt/tests/net1_unit_test.py | 10 +- epyt/tests/testFunctions.py | 21 +- epyt/tests/testFunctions_ex.py | 3 +- epyt/tests/testGetSetLinks.py | 2 +- epyt/tests/testGetSetNodes.py | 10 +- epyt/tests/test_unit_Leakage.py | 34 +- epyt/tests/test_unit_MSX.py | 544 +++++++++++++++++++--------- epyt/tests/test_unit_MSX_Options.py | 23 +- 9 files changed, 441 insertions(+), 240 deletions(-) diff --git a/epyt/tests/general_unit_test.py b/epyt/tests/general_unit_test.py index 020d26f..17c6470 100644 --- a/epyt/tests/general_unit_test.py +++ b/epyt/tests/general_unit_test.py @@ -1,7 +1,8 @@ +import unittest from math import isclose -from epyt import epanet + import numpy as np -import unittest +from epyt import epanet class AddTest(unittest.TestCase): @@ -361,6 +362,7 @@ def test_deleteRules(self): d.deleteRules([1, 2, 3]) # Deletes the 1st to 3rd rule-based control self.assertEqual(d.getRuleCount(), 1, err_msg) + class GetTest(unittest.TestCase): def setUp(self): @@ -661,7 +663,8 @@ def test_getCurvesData(self): # Test 7 self.assertEqual(curves_info.CurveNvalue[0], 8, err_msg) # Test 8 - np.testing.assert_array_almost_equal(curves_info.CurveXvalue[1], [0.0, 2.78, 5.56, 8.53, 11.11, 13.89], decimal=2) + np.testing.assert_array_almost_equal(curves_info.CurveXvalue[1], [0.0, 2.78, 5.56, 8.53, 11.11, 13.89], + decimal=2) # Test 9 self.assertEqual(curves_info.CurveYvalue[1], [88.0, 87.0, 84.0, 76.0, 63.0, 47.0], err_msg) @@ -688,6 +691,7 @@ def test_getCurvesData(self): point_index = 1 np.testing.assert_array_almost_equal(d.getCurveValue(curve_index, point_index), np.array([0., 38.]), err_msg=err_msg) + def test_getDemandModel(self): self.assertDictEqual(self.epanetClass.getDemandModel().to_dict(), {'DemandModelCode': 0, 'DemandModelPmin': 0.0, 'DemandModelPreq': 0.10000000149011612, @@ -787,7 +791,7 @@ def test_getLinkPumpData(self): power = 10 pattern_index = 1 pump_index = d.addLinkPump(pump_id, from_node, to_node, initial_status, initial_setting, power, - pattern_index) + pattern_index) err_msg = 'Wrong Pump Pattern Index' # Test 8 self.assertEqual(list(d.getLinkPumpPatternIndex()), [0, 0, 0, 0, 0, 0, 0, 1], err_msg) @@ -811,8 +815,8 @@ def test_getLinkPumpData(self): """ ---getLinkPumpType--- """ err_msg = 'Wrong Pump Type' # Test 12 - self.assertEqual(d.getLinkPumpType(), ['NO_CURVE', 'NO_CURVE', 'NO_CURVE', 'NO_CURVE', 'NO_CURVE', 'NO_CURVE', - 'NO_CURVE', 'CONSTANT_HORSEPOWER'], + self.assertEqual(d.getLinkPumpType(), ['CUSTOM', 'CUSTOM', 'CUSTOM', 'CUSTOM', 'CUSTOM', 'CUSTOM', + 'CUSTOM', 'CONSTANT_HORSEPOWER'], err_msg) """ ---getLinkPumpTypeCode--- """ @@ -820,10 +824,10 @@ def test_getLinkPumpData(self): d.unload() # Test 13 d = epanet('Richmond_skeleton.inp', ph=False) - self.assertEqual(d.getLinkPumpTypeCode(), [3, 3, 3, 3, 3, 3, 3], err_msg) + self.assertEqual(d.getLinkPumpTypeCode(), [2, 2, 2, 2, 2, 2, 2], err_msg) self.epanetClass.unload() self.epanetClass = epanet('Net1.inp', ph=False) - self.assertEqual(self.epanetClass.getLinkPumpTypeCode(), [3], err_msg) + self.assertEqual(self.epanetClass.getLinkPumpTypeCode(), [2], err_msg) def test_getLinksInfo(self): # Desired data @@ -947,12 +951,10 @@ def testDemandsInfo(self): """ ---getNodeDemandDeficit--- """ # Check again for inconsistent output, dynamic might be the case, # getComputedHydraulicTimeSeries.DemandDeficit works fine - self.epanetClass.setDemandModel('PDA', 0, 0.1, 0.5) + self.epanetClass.setDemandModel('PDA', 10, 400, 1.5) actual_def = self.epanetClass.getComputedHydraulicTimeSeries().DemandDeficit[0] - desired_dem_def = [0.0, -0.00012342832044413999, -0.00012111212332749546, -0.00012281893931302976, - -0.00012177492556971789, - -0.00012291126064630734, -0.00012496099800993576, -0.00011990998540248189, - -0.00011465764024330798, 0.0, 0.0] + desired_dem_def = [0., 127.21632385, 128.40765381, 85.14452362, 127.31324768, + 170.04138184, 126.89976501, 84.98687744, 86.15339661, 0., 0.] np.testing.assert_array_almost_equal(list(actual_def), desired_dem_def, decimal=5) """ ---getNodeDemandPatternIndex--- """ @@ -1066,7 +1068,8 @@ def test_getNodeTankData(self): self.assertEqual(d.getNodeTankNameID(), ['T-1', 'T-10', 'T-11', 'T-12', 'T-13', 'T-2', 'T-3', 'T-4', 'T-5', 'T-6', 'T-7', 'T-8', 'T-9'], err_msg) - np.testing.assert_array_almost_equal(t_data['Elevation'], desired_tdata['Elevation'], err_msg=err_msg, decimal=4) + np.testing.assert_array_almost_equal(t_data['Elevation'], desired_tdata['Elevation'], err_msg=err_msg, + decimal=4) np.testing.assert_array_almost_equal(t_data['Initial_Level'], desired_tdata['Initial_Level'], err_msg=err_msg, decimal=3) np.testing.assert_array_almost_equal(t_data['Minimum_Water_Level'], desired_tdata['Minimum_Water_Level'], @@ -1214,7 +1217,8 @@ def test_getPattern(self): 4.421e+02, 2.342e+02, 2.630e+01, 4.720e+01, 6.800e+01, 3.522e+02, 6.364e+02, 3.312e+02, 2.600e+01, 2.610e+01, 2.610e+01, 2.247e+02]]) actual_pattern = d.getPattern() - np.testing.assert_array_almost_equal(actual_pattern, desired_pattern, err_msg='Wrong Patterns Output', decimal=4) + np.testing.assert_array_almost_equal(actual_pattern, desired_pattern, err_msg='Wrong Patterns Output', + decimal=4) """ ---getPatternAverageValue--- """ desired_pat_avg_val = [0.8856250000000001, 33.333333333333336, 0.967291666666667, 209.6072916666666] diff --git a/epyt/tests/net1_unit_test.py b/epyt/tests/net1_unit_test.py index 9cfda03..1a1ea01 100644 --- a/epyt/tests/net1_unit_test.py +++ b/epyt/tests/net1_unit_test.py @@ -1,7 +1,8 @@ -from epyt import epanet -import numpy as np import unittest +import numpy as np +from epyt import epanet + class TestGetSetLinksCase(unittest.TestCase): def setUp(self): @@ -202,9 +203,9 @@ def testStepByStepAnalysis(self): 2.637534635141492e-11, 2.5352164811920375e-11, 20.08353269330769, 19.945617762391066, 19.61450487894149]) - np.testing.assert_array_almost_equal(head_loss, h_desired, decimal=3, err_msg="Wrong HeadLoss output") + np.testing.assert_array_almost_equal(head_loss, h_desired, decimal=3, err_msg="Wrong HeadLoss output") f_desired = [np.array(1866.17578125), np.array(1848.58117676), np.array(1837.46105957)] - np.testing.assert_array_almost_equal(flow[0:3], f_desired, decimal=3, err_msg="Wrong Flows output") + np.testing.assert_array_almost_equal(flow[0:3], f_desired, decimal=3, err_msg="Wrong Flows output") """ ------------------------------------------------------------------------- """ @@ -289,6 +290,7 @@ def testSetLinkMinorLossCoefficientIndices(self): def testSetLinkMinorLossCoefficientIndex(self): self.epanetClass.setLinkMinorLossCoeff(2, 1.01) # index, value assert np.isclose(self.epanetClass.getLinkMinorLossCoeff(2), 1.01, atol=1e-6), "Wrong set minor loss output" + """ ------------------------------------------------------------------------- """ def testSetLinkInitialStatusAll(self): diff --git a/epyt/tests/testFunctions.py b/epyt/tests/testFunctions.py index c92bd7a..8dd8168 100644 --- a/epyt/tests/testFunctions.py +++ b/epyt/tests/testFunctions.py @@ -3,6 +3,8 @@ This file is provided to ensure that all functions can be executed correctly. Step-by-step execution. You may also use breakpoints. """ +from pathlib import Path + from epyt import epanet # Create EPANET object using the INP file @@ -24,13 +26,13 @@ d.printv(d.getCurveValue(indexCurve)) # returns all points for specific curve index d.printv(d.getCurveValue(indexCurve, 2)) # returns specific point for specific curve index -d.setCurve(3, [[1400, 200], [1900, 300]]) # Change an existing curve +d.setCurve(2, [[1400, 200], [1900, 300]]) # Change an existing curve d.printv(d.getCurveValue(indexCurve)) d.printv(d.getCurvesInfo().to_dict()) d.printv(d.getCurveLengths()) -d.printv(d.getCurveLengths(3)) +d.printv(d.getCurveLengths(2)) d.printv(d.getCurveLengths('NewCur2')) d.printv(d.getCurveIndex()) @@ -499,7 +501,6 @@ d.printv(d.getPattern()) - d.setPattern(1, d.arange(1, 2, 0.1)) d.printv(d.getPattern()) @@ -598,7 +599,7 @@ # Write the report to file d.writeReport() -report_file_string_1 = open('TestReport1.txt').read() # create str varible +report_file_string_1 = Path('TestReport1.txt').read_text(encoding='cp1253') d.setReportFormatReset() d.setReport('FILE TestReport2.txt') @@ -609,20 +610,20 @@ d.setReport('PRESSURE NO') d.setReport('QUALITY NO') d.writeReport() -report_file_string_2 = open('TestReport2.txt').read() # create str varible +report_file_string_2 = Path('TestReport2.txt').read_text(encoding='cp1253') d.setReportFormatReset() d.setReport('FILE TestReport3.txt') d.setReport('NODES ALL') d.setReport('LINKS ALL') d.writeReport() -report_file_string_3 = open('TestReport3.txt').read() # create str varible +report_file_string_3 = Path('TestReport3.txt').read_text(encoding='cp1253') d.setReportFormatReset() d.setReport('FILE TestReport4.txt') d.setReport('STATUS YES') # is not appear - check d.writeReport() -report_file_string_4 = open('TestReport4.txt').read() # create str varible +report_file_string_4 = Path('TestReport4.txt').read_text(encoding='cp1253') d.setReportFormatReset() d.setReport('FILE TestReport5.txt') @@ -634,14 +635,14 @@ d.setReport('HEADLOSS NO') d.setReport('VELOCITY NO') d.writeReport() -report_file_string_5 = open('TestReport5.txt').read() # create str varible +report_file_string_5 = Path('TestReport5.txt').read_text(encoding='cp1253') d.setReportFormatReset() d.setReport('FILE TestReport6.txt') d.setTimeStatisticsType('MINIMUM') d.setReport('NODES ALL') d.writeReport() -report_file_string_6 = open('TestReport6.txt').read() # create str varible +report_file_string_6 = Path('TestReport6.txt').read_text(encoding='cp1253') # CHECK d.setReportFormatReset() @@ -649,7 +650,7 @@ d.setTimeStatisticsType('NONE') d.setReport('LINKS ALL') d.writeReport() -report_file_string_7 = open('TestReport7.txt').read() # create str varible +report_file_string_7 = Path('TestReport7.txt').read_text(encoding='cp1253') # unload net d.unload() diff --git a/epyt/tests/testFunctions_ex.py b/epyt/tests/testFunctions_ex.py index dc9ac0f..2d3e33e 100644 --- a/epyt/tests/testFunctions_ex.py +++ b/epyt/tests/testFunctions_ex.py @@ -6,7 +6,7 @@ from epyt import epanet # Create EPANET object using the INP file -d = epanet('Net1.inp') # Net1 Net2 Net3 BWSN_Network_1 L-TOWN ky1 -10 +d = epanet('Net1.inp') # Net1 Net2 Net3 BWSN_Network_1 L-TOWN ky10 # Print properties d.printv(dir(d)) @@ -259,7 +259,6 @@ d.printv(d.getNodePatternIndex(1)) # Retrieves the value of the first node demand pattern index d.printv(d.getNodePatternIndex([1, 2, 3])) # Retrieves the value of the 1,2,3 nodes demand pattern index - # Get node type (junction, reservoir, tank)/ index type d.printv(d.getNodeType()) # Retrieves the node-type code for all nodes d.printv(d.getNodeType(1)) # Retrieves the node-type code for the first node diff --git a/epyt/tests/testGetSetLinks.py b/epyt/tests/testGetSetLinks.py index 7101c46..3bb16f7 100644 --- a/epyt/tests/testGetSetLinks.py +++ b/epyt/tests/testGetSetLinks.py @@ -129,7 +129,7 @@ linkset = d.getLinkInitialSetting() if d.getLinkValveCount(): - linkset[d.getLinkValveIndex()-1] = 0 + linkset[d.getLinkValveIndex() - 1] = 0 d.setLinkInitialSetting(linkset * 10) d.printv(d.getLinkInitialSetting()) d.printv(d.getLinkInitialSetting(2)) diff --git a/epyt/tests/testGetSetNodes.py b/epyt/tests/testGetSetNodes.py index a078151..1f0df82 100644 --- a/epyt/tests/testGetSetNodes.py +++ b/epyt/tests/testGetSetNodes.py @@ -131,7 +131,7 @@ # Set nodes info d.printv(d.getNodeElevations()) -d.printv(d.setNodeElevations(2*d.getNodeElevations())) +d.printv(d.setNodeElevations(2 * d.getNodeElevations())) d.printv(d.getNodeElevations()) d.printv(d.getNodeElevations(2)) d.setNodeElevations(2, 300) # index, value @@ -145,7 +145,7 @@ d.printv(d.getNodeEmitterCoeff(2)) d.printv(d.getNodeInitialQuality()) -d.setNodeInitialQuality(2*d.getNodeInitialQuality()) +d.setNodeInitialQuality(2 * d.getNodeInitialQuality()) d.printv(d.getNodeInitialQuality()) d.printv(d.getNodeInitialQuality(2)) d.setNodeInitialQuality(2, 1.5) # index, value @@ -175,16 +175,16 @@ d.printv(d.getNodeSourcePatternIndex()) d.printv(d.getNodeSourceQuality()) -d.setNodeSourceQuality(2*d.getNodeSourceQuality()) +d.setNodeSourceQuality(2 * d.getNodeSourceQuality()) d.printv(d.getNodeSourceQuality()) d.setNodeSourceQuality(3, 20) d.printv(d.getNodeSourceQuality()) # Set tanks info d.printv(d.getNodeTankInitialLevel()) -d.setNodeTankInitialLevel(d.getNodeTankInitialLevel()+20) +d.setNodeTankInitialLevel(d.getNodeTankInitialLevel() + 20) v = d.getNodeTankInitialLevel() -d.setNodeTankInitialLevel(tankInd, v+10) +d.setNodeTankInitialLevel(tankInd, v + 10) d.printv(d.getNodeTankInitialLevel()) d.printv(d.getNodeTankDiameter()) diff --git a/epyt/tests/test_unit_Leakage.py b/epyt/tests/test_unit_Leakage.py index 99852ad..e18c317 100644 --- a/epyt/tests/test_unit_Leakage.py +++ b/epyt/tests/test_unit_Leakage.py @@ -1,25 +1,18 @@ -import unittest import math +import unittest + from epyt import epanet + class TestLeakage(unittest.TestCase): def test_leakage_model(self): - error = 0 - Pipe21, Junc21, Junc22 = None, None, None - pipe21Leak, junc21Leak, junc22Leak = 0.0, 0.0, 0.0 - ph = None # Create class and open network d = epanet("Net1.inp") # Single period analysis - EN_DURATION = 0 - EN_LEAK_AREA = 26 - EN_LEAK_EXPAN = 27 - EN_LINK_LEAKAGE = 28 - EN_LEAKAGEFLOW = 30 - error = d.api.ENsettimeparam(EN_DURATION, 0) + error = d.api.ENsettimeparam(d.ToolkitConstants.EN_DURATION, 0) self.assertEqual(error, 0) # Get index of Pipe 21 @@ -28,9 +21,9 @@ def test_leakage_model(self): # Set Pipe21 leak area to 1.0 sq mm per 100 ft of pipe # and its expansion rate to 0.1 sq mm per ft of head - error = d.api.ENsetlinkvalue(Pipe21, EN_LEAK_AREA, 1.0) + error = d.api.ENsetlinkvalue(Pipe21, d.ToolkitConstants.EN_LEAK_AREA, 1.0) self.assertEqual(error, 0) - error = d.api.ENsetlinkvalue(Pipe21, EN_LEAK_EXPAN, 0.1) + error = d.api.ENsetlinkvalue(Pipe21, d.ToolkitConstants.EN_LEAK_EXPAN, 0.1) self.assertEqual(error, 0) # Solve for hydraulics @@ -38,7 +31,7 @@ def test_leakage_model(self): self.assertEqual(error, 0) # Compute Pipe 21 leakage flow using the FAVAD formula EN_LINK_LEAKAGE - pipe21Leak = d.api.ENgetlinkvalue(Pipe21, EN_LINK_LEAKAGE) + pipe21Leak = d.api.ENgetlinkvalue(Pipe21, d.ToolkitConstants.EN_LINK_LEAKAGE) self.assertEqual(d.api.errcode, 0) # Retrieve leakage flow at end nodes @@ -47,15 +40,15 @@ def test_leakage_model(self): Junc22 = d.api.ENgetnodeindex('22') self.assertEqual(d.api.errcode, 0) - junc21Leak = d.api.ENgetnodevalue(Junc21, EN_LEAKAGEFLOW) + junc21Leak = d.api.ENgetnodevalue(Junc21, d.ToolkitConstants.EN_LEAKAGEFLOW) self.assertEqual(d.api.errcode, 0) - junc22Leak = d.api.ENgetnodevalue(Junc22, EN_LEAKAGEFLOW) + junc22Leak = d.api.ENgetnodevalue(Junc22, d.ToolkitConstants.EN_LEAKAGEFLOW) self.assertEqual(d.api.errcode, 0) d.solveCompleteHydraulics() - #print(pipe21Leak) - #print(junc21Leak) - #print(junc22Leak) + # print(pipe21Leak) + # print(junc21Leak) + # print(junc22Leak) # Check that the sum of the node leakages equals the pipe leakage self.assertTrue(abs(pipe21Leak - (junc21Leak + junc22Leak)) < 0.01) @@ -63,5 +56,6 @@ def test_leakage_model(self): error = d.api.ENclose() self.assertEqual(d.api.errcode, 0) + if __name__ == '__main__': - unittest.main() \ No newline at end of file + unittest.main() diff --git a/epyt/tests/test_unit_MSX.py b/epyt/tests/test_unit_MSX.py index 18f8c3f..7ae65ed 100644 --- a/epyt/tests/test_unit_MSX.py +++ b/epyt/tests/test_unit_MSX.py @@ -1,6 +1,7 @@ -from epyt import epanet, networks -import unittest import os +import unittest + +from epyt import epanet, networks DIRNAME = os.path.dirname(networks.__file__) @@ -9,7 +10,7 @@ class MSXtest(unittest.TestCase): def setUp(self): """Call before every test case.""" - # Create EPANET object using the INP file + # Create EPANET object using the INP file. inpname = os.path.join(DIRNAME, 'msx-examples', 'Net3-NH2CL.inp') msxfile = os.path.join(DIRNAME, 'msx-examples', 'Net3-NH2CL.msx') self.epanetClass = epanet(inpname) @@ -23,223 +24,414 @@ def tearDown(self): """ ------------------------------------------------------------------------- """ def test_MSXgetsource(self): - self.assertEqual(self.msxClass.MSXgetsource(1, 14), - ('SETPOINT', 2.0, 0), 'Wrong source comment output') - self.assertEqual(self.msxClass.MSXgetsource(2, 1), - ('CONCEN', 0.8, 0), 'Wrong source comment output') - self.assertEqual(self.msxClass.MSXgetsource(3, 2), - ('MASS', 0.5, 0), 'Wrong source comment output') - self.assertEqual(self.msxClass.MSXgetsource(4, 3), - ('FLOWPACED', 4.5, 0), 'Wrong source comment output') + self.assertEqual( + self.msxClass.MSXgetsource(1, 14), + ('SETPOINT', 2.0, 0), + 'Wrong source comment output', + ) + self.assertEqual( + self.msxClass.MSXgetsource(2, 1), + ('CONCEN', 0.8, 0), + 'Wrong source comment output', + ) + self.assertEqual( + self.msxClass.MSXgetsource(3, 2), + ('MASS', 0.5, 0), + 'Wrong source comment output', + ) + self.assertEqual( + self.msxClass.MSXgetsource(4, 3), + ('FLOWPACED', 4.5, 0), + 'Wrong source comment output', + ) def test_MSXsetsource(self): self.msxClass.MSXsetsource(1, 1, -1, 10.565, 1) - self.assertEqual(self.msxClass.MSXgetsource(1, 1), - ('NOSOURCE', 10.565, 1), 'Wrong source comment output') + self.assertEqual( + self.msxClass.MSXgetsource(1, 1), + ('NOSOURCE', 10.565, 1), + 'Wrong source comment output', + ) self.msxClass.MSXsetsource(1, 1, 0, 10.565, 1) - self.assertEqual(self.msxClass.MSXgetsource(1, 1), - ('CONCEN', 10.565, 1), 'Wrong source comment output') + self.assertEqual( + self.msxClass.MSXgetsource(1, 1), + ('CONCEN', 10.565, 1), + 'Wrong source comment output', + ) self.msxClass.MSXsetsource(1, 1, 1, 10.565, 1) - self.assertEqual(self.msxClass.MSXgetsource(1, 1), - ('MASS', 10.565, 1), 'Wrong source comment output') + self.assertEqual( + self.msxClass.MSXgetsource(1, 1), + ('MASS', 10.565, 1), + 'Wrong source comment output', + ) self.msxClass.MSXsetsource(1, 1, 2, 10.565, 1) - self.assertEqual(self.msxClass.MSXgetsource(1, 1), - ('SETPOINT', 10.565, 1), 'Wrong source comment output') + self.assertEqual( + self.msxClass.MSXgetsource(1, 1), + ('SETPOINT', 10.565, 1), + 'Wrong source comment output', + ) self.msxClass.MSXsetsource(1, 1, 3, 10.565, 1) - self.assertEqual(self.msxClass.MSXgetsource(1, 1), - ('FLOWPACED', 10.565, 1), 'Wrong source comment output') - # set an integer value for level test_MSXsetsource + self.assertEqual( + self.msxClass.MSXgetsource(1, 1), + ('FLOWPACED', 10.565, 1), + 'Wrong source comment output', + ) + # Set an integer value for level in test_MSXsetsource. self.msxClass.MSXsetsource(1, 1, 3, 10, 1) - self.assertEqual(self.msxClass.MSXgetsource(1, 1), - ('FLOWPACED', 10, 1), 'Wrong source comment output') + self.assertEqual( + self.msxClass.MSXgetsource(1, 1), + ('FLOWPACED', 10, 1), + 'Wrong source comment output', + ) def test_MSXgetspecies(self): - self.assertEqual(self.msxClass.MSXgetspecies(1), ('BULK', 'MMOL', 1.0e-8, 0.0001), - 'Wrong species comment output') - self.assertEqual(self.msxClass.MSXgetspecies(2), ('BULK', 'MMOL', 1.0e-8, 0.0001), - 'Wrong species comment output') - self.assertEqual(self.msxClass.MSXgetspecies(3), ('BULK', 'MMOL', 1.0e-8, 0.0001), - 'Wrong species comment output') - self.assertEqual(self.msxClass.MSXgetspecies(4), ('BULK', 'MMOL', 1.0e-8, 0.0001), - 'Wrong species comment output') - self.assertEqual(self.msxClass.MSXgetspecies(5), ('BULK', 'MMOL', 1.0e-8, 0.0001), - 'Wrong species comment output') + self.assertEqual( + self.msxClass.MSXgetspecies(1), + ('BULK', 'MMOL', 1.0e-8, 0.0001), + 'Wrong species comment output', + ) + self.assertEqual( + self.msxClass.MSXgetspecies(2), + ('BULK', 'MMOL', 1.0e-8, 0.0001), + 'Wrong species comment output', + ) + self.assertEqual( + self.msxClass.MSXgetspecies(3), + ('BULK', 'MMOL', 1.0e-8, 0.0001), + 'Wrong species comment output', + ) + self.assertEqual( + self.msxClass.MSXgetspecies(4), + ('BULK', 'MMOL', 1.0e-8, 0.0001), + 'Wrong species comment output', + ) + self.assertEqual( + self.msxClass.MSXgetspecies(5), + ('BULK', 'MMOL', 1.0e-8, 0.0001), + 'Wrong species comment output', + ) def test_MSXgetconstant(self): - - self.assertEqual(self.msxClass.MSXgetconstant(1), 0.02, - 'Wrong constant comment output') - self.assertEqual(self.msxClass.MSXgetconstant(2), 0.50, - 'Wrong constant comment output') + self.assertEqual( + self.msxClass.MSXgetconstant(1), + 0.02, + 'Wrong constant comment output', + ) + self.assertEqual( + self.msxClass.MSXgetconstant(2), + 0.50, + 'Wrong constant comment output', + ) def test_MSXsetconstant(self): - - # set an integer value + # Set an integer value. self.msxClass.MSXsetconstant(1, 69) - self.assertEqual(self.msxClass.MSXgetconstant(1), 69, - 'Wrong set/get constant comment output') - # set a float value + self.assertEqual( + self.msxClass.MSXgetconstant(1), + 69, + 'Wrong set/get constant comment output', + ) + # Set a float value. self.msxClass.MSXsetconstant(1, 69.420) - self.assertEqual(self.msxClass.MSXgetconstant(1), 69.420, - 'Wrong set/get constant comment output') + self.assertEqual( + self.msxClass.MSXgetconstant(1), + 69.420, + 'Wrong set/get constant comment output', + ) def testMSXgetinitqual(self): - self.assertEqual(self.msxClass.MSXgetinitqual(1, 1, 9), 2.818e-08, - 'Wrong get init qual comment output') - self.assertEqual(self.msxClass.MSXgetinitqual(1, 1, 10), 3.55e-7, - 'Wrong get init qual comment output') - self.assertEqual(self.msxClass.MSXgetinitqual(1, 1, 8), 0.004, - 'Wrong get init qual comment output') - self.assertEqual(self.msxClass.MSXgetinitqual(0, 1, 9), 2.818e-08, - 'Wrong get init qual comment output') - self.assertEqual(self.msxClass.MSXgetinitqual(0, 1, 10), 3.55e-7, - 'Wrong get init qual comment output') - self.assertEqual(self.msxClass.MSXgetinitqual(0, 1, 8), 0.004, - 'Wrong get init qual comment output') + self.assertEqual( + self.msxClass.MSXgetinitqual(1, 1, 9), + 2.818e-08, + 'Wrong get init qual comment output', + ) + self.assertEqual( + self.msxClass.MSXgetinitqual(1, 1, 10), + 3.55e-7, + 'Wrong get init qual comment output', + ) + self.assertEqual( + self.msxClass.MSXgetinitqual(1, 1, 8), + 0.004, + 'Wrong get init qual comment output', + ) + self.assertEqual( + self.msxClass.MSXgetinitqual(0, 1, 9), + 2.818e-08, + 'Wrong get init qual comment output', + ) + self.assertEqual( + self.msxClass.MSXgetinitqual(0, 1, 10), + 3.55e-7, + 'Wrong get init qual comment output', + ) + self.assertEqual( + self.msxClass.MSXgetinitqual(0, 1, 8), + 0.004, + 'Wrong get init qual comment output', + ) def testMSXsetinitqual(self): - # set value as integer testMSXsetinitqual + # Set value as an integer in testMSXsetinitqual. self.msxClass.MSXsetinitqual(1, 1, 1, 69) - self.assertEqual(self.msxClass.MSXgetinitqual(1, 1, 1), 69, - 'Wrong set/get init qual comment output') - # set value as float testMSXsetinitqual + self.assertEqual( + self.msxClass.MSXgetinitqual(1, 1, 1), + 69, + 'Wrong set/get init qual comment output', + ) + # Set value as a float in testMSXsetinitqual. self.msxClass.MSXsetinitqual(1, 1, 1, 69.420) - self.assertEqual(self.msxClass.MSXgetinitqual(1, 1, 1), 69.420, - 'Wrong set/get init qual comment output') + self.assertEqual( + self.msxClass.MSXgetinitqual(1, 1, 1), + 69.420, + 'Wrong set/get init qual comment output', + ) def test_MSXsetinitqual(self): - # set value as integer test_MSXsetinitqual + # Set value as an integer in test_MSXsetinitqual. self.msxClass.MSXsetinitqual(1, 1, 1, 69) - self.assertEqual(self.msxClass.MSXgetinitqual(1, 1, 1), 69, - 'Wrong set/get init qual comment output') - # set value as float test_MSXsetinitqual + self.assertEqual( + self.msxClass.MSXgetinitqual(1, 1, 1), + 69, + 'Wrong set/get init qual comment output', + ) + # Set value as a float in test_MSXsetinitqual. self.msxClass.MSXsetinitqual(1, 1, 1, 69.420) - self.assertEqual(self.msxClass.MSXgetinitqual(1, 1, 1), 69.420, - 'Wrong set/get init qual comment output') + self.assertEqual( + self.msxClass.MSXgetinitqual(1, 1, 1), + 69.420, + 'Wrong set/get init qual comment output', + ) def test_MSXsetpatternvalue(self): - - # set value as integer test_MSXsetpatternvalue + # Set value as an integer in test_MSXsetpatternvalue. self.msxClass.MSXsetpatternvalue(1, 1, 69) - self.assertEqual(self.msxClass.MSXgetpatternvalue(1, 1), 69, - 'Wrong set/get patternvalue comment output') - # set value as float test_MSXsetpatternvalue + self.assertEqual( + self.msxClass.MSXgetpatternvalue(1, 1), + 69, + 'Wrong set/get patternvalue comment output', + ) + # Set value as a float in test_MSXsetpatternvalue. self.msxClass.MSXsetpatternvalue(1, 1, 69.420) - self.assertEqual(self.msxClass.MSXgetpatternvalue(1, 1), 69.420, - 'Wrong set/get init patternvalue comment output') + self.assertEqual( + self.msxClass.MSXgetpatternvalue(1, 1), + 69.420, + 'Wrong set/get init patternvalue comment output', + ) def test_MSXgetIDlen(self): - - self.assertEqual(self.msxClass.MSXgetIDlen(3, 1), 4, - 'Wrong get ID len comment output') - self.assertEqual(self.msxClass.MSXgetIDlen(3, 2), 3, - 'Wrong get ID len comment output') - self.assertEqual(self.msxClass.MSXgetIDlen(3, 3), 5, - 'Wrong get ID len comment output') + self.assertEqual( + self.msxClass.MSXgetIDlen(3, 1), + 4, + 'Wrong get ID len comment output', + ) + self.assertEqual( + self.msxClass.MSXgetIDlen(3, 2), + 3, + 'Wrong get ID len comment output', + ) + self.assertEqual( + self.msxClass.MSXgetIDlen(3, 3), + 5, + 'Wrong get ID len comment output', + ) def test_MSXgetID(self): - - self.assertEqual(self.msxClass.MSXgetID(3, 1, 4), 'HOCL', - 'Wrong get ID comment output') - self.assertEqual(self.msxClass.MSXgetID(3, 2, 3), 'NH3', - 'Wrong get ID comment output') - self.assertEqual(self.msxClass.MSXgetID(3, 3, 5), 'NH2CL', - 'Wrong get ID comment output') + self.assertEqual( + self.msxClass.MSXgetID(3, 1, 4), + 'HOCL', + 'Wrong get ID comment output', + ) + self.assertEqual( + self.msxClass.MSXgetID(3, 2, 3), + 'NH3', + 'Wrong get ID comment output', + ) + self.assertEqual( + self.msxClass.MSXgetID(3, 3, 5), + 'NH2CL', + 'Wrong get ID comment output', + ) def test_MSXgeterror(self): - - self.assertEqual(self.msxClass.MSXgeterror(516), 'Error 516 - reference made to an illegal object index.', - 'Wrong error comment output') - self.assertEqual(self.msxClass.MSXgeterror(505), 'Error 505 - could not read hydraulic results file.', - 'Wrong error comment output') - self.assertEqual(self.msxClass.MSXgeterror(503), 'Error 503 - could not open MSX input file.', - 'Wrong error comment output') + self.assertEqual( + self.msxClass.MSXgeterror(516), + 'Error 516 - reference made to an illegal object index.', + 'Wrong error comment output', + ) + self.assertEqual( + self.msxClass.MSXgeterror(505), + 'Error 505 - could not read hydraulic results file.', + 'Wrong error comment output', + ) + self.assertEqual( + self.msxClass.MSXgeterror(503), + 'Error 503 - could not open MSX input file.', + 'Wrong error comment output', + ) def test_MSXgetparameter(self): - self.assertEqual(self.msxClass.MSXgetparameter(1, 1, 2), 0.076, - 'Wrong error comment output') - self.assertEqual(self.msxClass.MSXgetparameter(1, 1, 4), 2.3e-3, - 'Wrong error comment output') + self.assertEqual( + self.msxClass.MSXgetparameter(1, 1, 2), + 0.076, + 'Wrong error comment output', + ) + self.assertEqual( + self.msxClass.MSXgetparameter(1, 1, 4), + 2.3e-3, + 'Wrong error comment output', + ) def test_MSXsetparameter(self): - # set value as integer test_MSXsetparameter + # Set value as an integer in test_MSXsetparameter. self.msxClass.MSXsetparameter(1, 1, 1, 69) - self.assertEqual(self.msxClass.MSXgetparameter(1, 1, 1), 69, - 'Wrong error comment output') - # set value as float test_MSXsetparameter + self.assertEqual( + self.msxClass.MSXgetparameter(1, 1, 1), + 69, + 'Wrong error comment output', + ) + # Set value as a float in test_MSXsetparameter. self.msxClass.MSXsetparameter(1, 1, 1, 69.420) - self.assertEqual(self.msxClass.MSXgetparameter(1, 1, 1), 69.420, - 'Wrong error comment output') + self.assertEqual( + self.msxClass.MSXgetparameter(1, 1, 1), + 69.420, + 'Wrong error comment output', + ) def test_MSXgetcount(self): - # for species - self.assertEqual(self.msxClass.MSXgetcount(3), 16, - 'Wrong error get count output') - # for parameters - self.assertEqual(self.msxClass.MSXgetcount(5), 11, - 'Wrong error get count output') - # for constants - self.assertEqual(self.msxClass.MSXgetcount(6), 2, - 'Wrong error get count output') - # for patterns - self.assertEqual(self.msxClass.MSXgetcount(7), 2, - 'Wrong error get count output') + # For species. + self.assertEqual( + self.msxClass.MSXgetcount(3), + 16, + 'Wrong error get count output', + ) + # For parameters. + self.assertEqual( + self.msxClass.MSXgetcount(5), + 11, + 'Wrong error get count output', + ) + # For constants. + self.assertEqual( + self.msxClass.MSXgetcount(6), + 2, + 'Wrong error get count output', + ) + # For patterns. + self.assertEqual( + self.msxClass.MSXgetcount(7), + 2, + 'Wrong error get count output', + ) def test_MSXgetindex(self): - # testing 4 species (number 3) first , last, 1 char & more than 1 char and middle - self.assertEqual(self.msxClass.MSXgetindex(3, "HOCL"), 1, - 'Wrong error get count output') - self.assertEqual(self.msxClass.MSXgetindex(3, "cNH2CL"), 16, - 'Wrong error get count output') - self.assertEqual(self.msxClass.MSXgetindex(3, "H"), 9, - 'Wrong error get count output') - self.assertEqual(self.msxClass.MSXgetindex(3, "OH"), 10, - 'Wrong error get count output') - # testing parameters (number 5) first , last and one middle case - self.assertEqual(self.msxClass.MSXgetindex(5, "k1"), 1, - 'Wrong error get count output') - self.assertEqual(self.msxClass.MSXgetindex(5, "kDOC2"), 11, - 'Wrong error get count output') - self.assertEqual(self.msxClass.MSXgetindex(5, "k6"), 5, - 'Wrong error get count output') - # testing constants (number 6) - self.assertEqual(self.msxClass.MSXgetindex(6, "S1"), 1, - 'Wrong error get count output') - self.assertEqual(self.msxClass.MSXgetindex(6, "S2"), 2, - 'Wrong error get count output') - # testing paterns (number 7) - self.assertEqual(self.msxClass.MSXgetindex(7, "PAT1"), 1, - 'Wrong error get count output') - self.assertEqual(self.msxClass.MSXgetindex(7, "PAT2"), 2, - 'Wrong error get count output') + # Testing species (object 3): first, last, 1 char, >1 char, and middle. + self.assertEqual( + self.msxClass.MSXgetindex(3, "HOCL"), + 1, + 'Wrong error get count output', + ) + self.assertEqual( + self.msxClass.MSXgetindex(3, "cNH2CL"), + 16, + 'Wrong error get count output', + ) + self.assertEqual( + self.msxClass.MSXgetindex(3, "H"), + 9, + 'Wrong error get count output', + ) + self.assertEqual( + self.msxClass.MSXgetindex(3, "OH"), + 10, + 'Wrong error get count output', + ) + # Testing parameters (object 5): first, last, and middle. + self.assertEqual( + self.msxClass.MSXgetindex(5, "k1"), + 1, + 'Wrong error get count output', + ) + self.assertEqual( + self.msxClass.MSXgetindex(5, "kDOC2"), + 11, + 'Wrong error get count output', + ) + self.assertEqual( + self.msxClass.MSXgetindex(5, "k6"), + 5, + 'Wrong error get count output', + ) + # Testing constants (object 6). + self.assertEqual( + self.msxClass.MSXgetindex(6, "S1"), + 1, + 'Wrong error get count output', + ) + self.assertEqual( + self.msxClass.MSXgetindex(6, "S2"), + 2, + 'Wrong error get count output', + ) + # Testing patterns (object 7). + self.assertEqual( + self.msxClass.MSXgetindex(7, "PAT1"), + 1, + 'Wrong error get count output', + ) + self.assertEqual( + self.msxClass.MSXgetindex(7, "PAT2"), + 2, + 'Wrong error get count output', + ) def test_MSXaddpattern(self): - y = self.msxClass.MSXgetcount(7) self.msxClass.MSXaddpattern("pat-test-2") - self.assertEqual(self.msxClass.MSXgetcount(7), y + 1, - 'Wrong error add patter output') + self.assertEqual( + self.msxClass.MSXgetcount(7), + y + 1, + 'Wrong error add patter output', + ) - def test_MSXsetpatter(self): + def test_MSXsetpattern(self): self.msxClass.MSXaddpattern("pat-test-1") x = self.msxClass.MSXgetindex(7, "pat-test-1") mult = [0.5, 0.8, 1.2, 1.0, 0.7, 0.3] self.msxClass.MSXsetpattern(x, mult, 6) - self.assertEqual(self.msxClass.MSXgetpatternvalue(x, 1), 0.5, - 'Wrong set/get patternvalue comment output') - self.assertEqual(self.msxClass.MSXgetpatternvalue(x, 2), 0.8, - 'Wrong set/get patternvalue comment output') - self.assertEqual(self.msxClass.MSXgetpatternvalue(x, 3), 1.2, - 'Wrong set/get patternvalue comment output') - self.assertEqual(self.msxClass.MSXgetpatternvalue(x, 4), 1.0, - 'Wrong set/get patternvalue comment output') - self.assertEqual(self.msxClass.MSXgetpatternvalue(x, 5), 0.7, - 'Wrong set/get patternvalue comment output') - self.assertEqual(self.msxClass.MSXgetpatternvalue(x, 6), 0.3, - 'Wrong set/get patternvalue comment output') - - def test_MSXsavesmsxfile(self): + self.assertEqual( + self.msxClass.MSXgetpatternvalue(x, 1), + 0.5, + 'Wrong set/get patternvalue comment output', + ) + self.assertEqual( + self.msxClass.MSXgetpatternvalue(x, 2), + 0.8, + 'Wrong set/get patternvalue comment output', + ) + self.assertEqual( + self.msxClass.MSXgetpatternvalue(x, 3), + 1.2, + 'Wrong set/get patternvalue comment output', + ) + self.assertEqual( + self.msxClass.MSXgetpatternvalue(x, 4), + 1.0, + 'Wrong set/get patternvalue comment output', + ) + self.assertEqual( + self.msxClass.MSXgetpatternvalue(x, 5), + 0.7, + 'Wrong set/get patternvalue comment output', + ) + self.assertEqual( + self.msxClass.MSXgetpatternvalue(x, 6), + 0.3, + 'Wrong set/get patternvalue comment output', + ) + + def test_MSXsavemsxfile(self): filename = "net-test-1.msx" self.msxClass.MSXsavemsxfile(filename) full_path = os.path.join(os.getcwd(), filename) @@ -249,7 +441,6 @@ def test_MSXsavesmsxfile(self): print(f"The file {filename} does not exist in the current directory.") def test_MSXgetqual(self): - self.msxClass.MSXclose() self.epanetClass.unload() inpname = os.path.join(DIRNAME, 'msx-examples', 'net2-cl2.inp') @@ -265,16 +456,25 @@ def test_MSXgetqual(self): c = 0 while True: t, tleft = self.msxClass.MSXstep() - c = c + 1 + c += 1 if c == 1: - self.assertEqual(self.msxClass.MSXgetqual(0, 1, 1), 0.8, - 'Wrong get qual comment output') + self.assertEqual( + self.msxClass.MSXgetqual(0, 1, 1), + 0.8, + 'Wrong get qual comment output', + ) if c == 85: - self.assertEqual(self.msxClass.MSXgetqual(0, 1, 1), 0.7991666666666667, - 'Wrong get qual comment output') + self.assertEqual( + self.msxClass.MSXgetqual(0, 1, 1), + 0.7991666666666667, + 'Wrong get qual comment output', + ) if c == 660: - self.assertEqual(self.msxClass.MSXgetqual(0, 1, 1), 0.8, - 'Wrong get qual comment output') + self.assertEqual( + self.msxClass.MSXgetqual(0, 1, 1), + 0.8, + 'Wrong get qual comment output', + ) if tleft <= 0: break diff --git a/epyt/tests/test_unit_MSX_Options.py b/epyt/tests/test_unit_MSX_Options.py index b933f15..c9f4d7d 100644 --- a/epyt/tests/test_unit_MSX_Options.py +++ b/epyt/tests/test_unit_MSX_Options.py @@ -1,6 +1,7 @@ -from epyt import epanet, networks -import unittest import os +import unittest + +from epyt import epanet, networks DIRNAME = os.path.dirname(networks.__file__) @@ -72,15 +73,15 @@ def test_MSXOptions(self): self.assertEqual(self.epanetClass.getMSXCoupling(), "NONE", "Wrong get Coupling comments output") - #self.epanetClass.setMSXCompilerVC() - #self.assertEqual(self.epanetClass.getMSXCompiler(), - # "VC", "Wrong get Compiler comments output") - #self.epanetClass.setMSXCompilerGC() - #self.assertEqual(self.epanetClass.getMSXCompiler(), - # "GC", "Wrong get Compiler comments output") - #self.epanetClass.setMSXCompilerNONE() - #self.assertEqual(self.epanetClass.getMSXCompiler(), - # "NONE", "Wrong get Compiler comments output") + self.epanetClass.setMSXCompilerVC() + self.assertEqual(self.epanetClass.getMSXCompiler(), + "VC", "Wrong get Compiler comments output") + self.epanetClass.setMSXCompilerGC() + self.assertEqual(self.epanetClass.getMSXCompiler(), + "GC", "Wrong get Compiler comments output") + self.epanetClass.setMSXCompilerNONE() + self.assertEqual(self.epanetClass.getMSXCompiler(), + "NONE", "Wrong get Compiler comments output") self.epanetClass.setMSXAtol(0.2) self.assertEqual(self.epanetClass.getMSXAtol(), From 243155592b888b732bd5baa7b6db65c715d10158 Mon Sep 17 00:00:00 2001 From: "Marios S. Kyriakou" Date: Wed, 4 Feb 2026 16:14:30 +0200 Subject: [PATCH 161/183] Refactor epanet API to CFFI and optimize calls --- epyt/__init__.py | 12 +- epyt/epanet.py | 4809 +++----------------------------- epyt/networks/__init__.py | 77 + epyt/src/epanet_cffi_compat.py | 374 +++ epyt/src/epanetapi.py | 3055 ++++++++++++++++++++ epyt/src/epanetconstants.py | 298 ++ epyt/src/epanetmsxapi.py | 768 +++++ epyt/src/epyt_enums.py | 35 + 8 files changed, 5013 insertions(+), 4415 deletions(-) create mode 100644 epyt/src/epanet_cffi_compat.py create mode 100644 epyt/src/epanetapi.py create mode 100644 epyt/src/epanetconstants.py create mode 100644 epyt/src/epanetmsxapi.py create mode 100644 epyt/src/epyt_enums.py diff --git a/epyt/__init__.py b/epyt/__init__.py index 4c313af..34c2e9e 100644 --- a/epyt/__init__.py +++ b/epyt/__init__.py @@ -1,11 +1,17 @@ # -*- coding: utf-8 -*- __author__ = """Marios S. Kyriakou""" __email__ = "kiriakou.marios@ucy.ac.cy" -__version__ = "1.2.3" +__version__ = "2.3.3.0" __msxversion__ = "200000" -__lastupdate__ = "25/06/2025" +__lastupdate__ = "04/02/2026" __copyright__ = """Copyright 2022, KIOS Research and Innovation Center of Excellence (KIOS CoE), University of Cyprus (www.kios.org.cy).""" __license__ = "EUPL License, Version 1.2" -from epyt.epanet import epanet \ No newline at end of file +try: + from importlib.resources import files # Python 3.9+ +except ImportError: + from importlib_resources import files # Backport for < 3.9 +epyt_root = str(files("epyt")) + +from epyt.epanet import epanet diff --git a/epyt/epanet.py b/epyt/epanet.py index 1133b7e..c6183ea 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -70,28 +70,28 @@ import sys import traceback import warnings -from ctypes import cdll, byref, create_string_buffer, c_uint64, c_void_p, c_int, c_double, c_float, c_long, \ - c_char_p from datetime import datetime, timezone +from functools import partial, lru_cache + +from .src.epanet_cffi_compat import cdll, byref, create_string_buffer, c_char_p -try: - from importlib.resources import files # Python 3.9+ -except ImportError: - from importlib_resources import files # Backport for < 3.9 from inspect import getmembers, isfunction, currentframe, getframeinfo from pathlib import Path -from shutil import copyfile -from types import SimpleNamespace +from shutil import copy2 +from contextlib import suppress import matplotlib as mpl import matplotlib.pyplot as plt import numpy as np import pandas as pd from matplotlib import cm +import glob -epyt_root = str(files("epyt")) - -from epyt import __version__, __msxversion__, __lastupdate__ +from epyt import __version__, __msxversion__, __lastupdate__, epyt_root +from .src.epanetapi import epanetapi +from .src.epanetmsxapi import epanetmsxapi +from .src.epanetconstants import EpanetConstants +from .src.epyt_enums import EpytEnums red = "\033[91m" reset = "\033[0m" @@ -150,307 +150,6 @@ def _wrapper(*args, **kwargs): return attr -class ToolkitConstants: - # Limits on the size of character arrays used to store ID names - # and text messages. - def __init__(self): - pass - - EN_MAXID = 31 + 1 # characters in ID name - EN_MAXMSG = 255 # characters in message text - - # Node parameters - EN_ELEVATION = 0 - EN_BASEDEMAND = 1 - EN_PATTERN = 2 - EN_EMITTER = 3 - EN_INITQUAL = 4 - EN_SOURCEQUAL = 5 - EN_SOURCEPAT = 6 - EN_SOURCETYPE = 7 - EN_TANKLEVEL = 8 - EN_DEMAND = 9 - EN_HEAD = 10 - EN_PRESSURE = 11 - EN_QUALITY = 12 - EN_SOURCEMASS = 13 - EN_INITVOLUME = 14 - EN_MIXMODEL = 15 - EN_MIXZONEVOL = 16 - EN_TANKDIAM = 17 - EN_MINVOLUME = 18 - EN_VOLCURVE = 19 - EN_MINLEVEL = 20 - EN_MAXLEVEL = 21 - EN_MIXFRACTION = 22 - EN_TANK_KBULK = 23 - EN_TANKVOLUME = 24 - EN_MAXVOLUME = 25 - EN_CANOVERFLOW = 26 - EN_DEMANDDEFICIT = 27 - EN_NODE_INCONTROL = 28 - EN_EMITTERFLOW = 29 - EN_LEAKAGEFLOW = 30 - EN_DEMANDFLOW = 31 - EN_FULLDEMAND = 32 - # Link parameters - EN_DIAMETER = 0 - EN_LENGTH = 1 - EN_ROUGHNESS = 2 - EN_MINORLOSS = 3 - EN_INITSTATUS = 4 - EN_INITSETTING = 5 - EN_KBULK = 6 - EN_KWALL = 7 - EN_FLOW = 8 - EN_VELOCITY = 9 - EN_HEADLOSS = 10 - EN_STATUS = 11 - EN_SETTING = 12 - EN_ENERGY = 13 - EN_LINKQUAL = 14 - EN_LINKPATTERN = 15 - EN_PUMP_STATE = 16 - EN_PUMP_EFFIC = 17 - EN_PUMP_POWER = 18 - EN_PUMP_HCURVE = 19 - EN_PUMP_ECURVE = 20 - EN_PUMP_ECOST = 21 - EN_PUMP_EPAT = 22 - EN_LINK_INCONTROL = 23 - EN_GPV_CURVE = 24 - EN_PCV_CURVE = 25 - EN_LEAK_AREA = 26 - EN_LEAK_EXPAN = 27 - EN_LINK_LEAKAGE = 28 - # Time parameters - EN_DURATION = 0 - EN_HYDSTEP = 1 - EN_QUALSTEP = 2 - EN_PATTERNSTEP = 3 - EN_PATTERNSTART = 4 - EN_REPORTSTEP = 5 - EN_REPORTSTART = 6 - EN_RULESTEP = 7 - EN_STATISTIC = 8 - EN_PERIODS = 9 - EN_STARTTIME = 10 - EN_HTIME = 11 - EN_QTIME = 12 - EN_HALTFLAG = 13 - EN_NEXTEVENT = 14 - EN_NEXTEVENTTANK = 15 - - # Component counts - EN_NODECOUNT = 0 - EN_TANKCOUNT = 1 - EN_LINKCOUNT = 2 - EN_PATCOUNT = 3 - EN_CURVECOUNT = 4 - EN_CONTROLCOUNT = 5 - EN_RULECOUNT = 6 - - # Node types - EN_JUNCTION = 0 - EN_RESERVOIR = 1 - EN_TANK = 2 - - # Link types - EN_CVPIPE = 0 - EN_PIPE = 1 - EN_PUMP = 2 - EN_PRV = 3 - EN_PSV = 4 - EN_PBV = 5 - EN_FCV = 6 - EN_TCV = 7 - EN_GPV = 8 - EN_PCV = 9 - - # Quality analysis types - EN_NONE = 0 - EN_CHEM = 1 - EN_AGE = 2 - EN_TRACE = 3 - - # Source quality types - EN_CONCEN = 0 - EN_MASS = 1 - EN_SETPOINT = 2 - EN_FLOWPACED = 3 - - # Flow units types - EN_CFS = 0 - EN_GPM = 1 - EN_MGD = 2 - EN_IMGD = 3 - EN_AFD = 4 - EN_LPS = 5 - EN_LPM = 6 - EN_MLD = 7 - EN_CMH = 8 - EN_CMD = 9 - EN_CMS = 10 - - # Pressure units type - EN_PSI = 0 - EN_KPA = 1; - EN_METERS =2 - - EN_DDA = 0 # Demand driven analysis - EN_PDA = 1 # Pressure driven analysis - - # Option types - EN_TRIALS = 0 - EN_ACCURACY = 1 - EN_TOLERANCE = 2 - EN_EMITEXPON = 3 - EN_DEMANDMULT = 4 - EN_HEADERROR = 5 - EN_FLOWCHANGE = 6 - EN_HEADLOSSFORM = 7 - EN_GLOBALEFFIC = 8 - EN_GLOBALPRICE = 9 - EN_GLOBALPATTERN = 10 - EN_DEMANDCHARGE = 11 - EN_SP_GRAVITY = 12 - EN_SP_VISCOS = 13 - EN_UNBALANCED = 14 - EN_CHECKFREQ = 15 - EN_MAXCHECK = 16 - EN_DAMPLIMIT = 17 - EN_SP_DIFFUS = 18 - EN_BULKORDER = 19 - EN_WALLORDER = 20 - EN_TANKORDER = 21 - EN_CONCENLIMIT = 22 - EN_DEMANDPATTERN = 23 - EN_EMITBACKFLOW = 24 - EN_PRESS_UNITS = 25 - EN_STATUS_REPORT = 26 - - # Control types - EN_LOWLEVEL = 0 - EN_HILEVEL = 1 - EN_TIMER = 2 - EN_TIMEOFDAY = 3 - - # Time statistic types - EN_AVERAGE = 1 - EN_MINIMUM = 2 - EN_MAXIMUM = 3 - EN_RANGE = 4 - - # Tank mixing models - EN_MIX1 = 0 - EN_MIX2 = 1 - EN_FIFO = 2 - EN_LIFO = 3 - - # Save-results-to-file flag - EN_NOSAVE = 0 - EN_SAVE = 1 - EN_INITFLOW = 10 - EN_SAVE_AND_INIT = 11 - - EN_CONST_HP = 0 # Constant horsepower pump curve - EN_POWER_FUNC = 1 # Power function pump curve - EN_CUSTOM = 2 # User-defined custom pump curve - EN_NOCURVE = 3 # No pump curve - - EN_VOLUME_CURVE = 0 # Volume curve - EN_PUMP_CURVE = 1 # Pump curve - EN_EFFIC_CURVE = 2 # Efficiency curve - EN_HLOSS_CURVE = 3 # Head loss curve - EN_GENERIC_CURVE = 4 # Generic curve - EN_VALVE_CURVE = 5 # Valve position curve - - - EN_UNCONDITIONAL = 0 #Unconditional object deletion - EN_CONDITIONAL = 1 - - EN_NO_REPORT = 0 # No status report - EN_NORMAL_REPORT = 1 # Normal status report - EN_FULL_REPORT = 2 # Full status report - - # ObjectType - EN_NODE = 0 - EN_LINK = 1 - EN_TIMEPAT = 2 - EN_CURVE = 3 - EN_CONTROL = 4 - EN_RULE = 5 - - # Head Loss Type - EN_HW = 0 - EN_DW = 1 - EN_CM = 2 - - # Network objects used in rule-based controls - EN_R_NODE = 6 - EN_R_LINK = 7 - EN_R_SYSTEM = 8 - - # Object variables used in rule-based controls. - EN_R_DEMAND = 0 - EN_R_HEAD = 1 - EN_R_GRADE = 2 - EN_R_LEVEL = 3 - EN_R_PRESSURE = 4 - EN_R_FLOW = 5 - EN_R_STATUS = 6 - EN_R_SETTING = 7 - EN_R_POWER = 8 - EN_R_TIME = 9 - EN_R_CLOCKTIME = 10 - EN_R_FILLTIME = 11 - EN_R_DRAINTIME = 12 - - # Analysis convergence statistics. - EN_ITERATIONS = 0 - EN_RELATIVEERROR = 1 - EN_MAXHEADERROR = 2 - EN_MAXFLOWCHANGE = 3 - EN_MASSBALANCE = 4 - EN_DEFICIENTNODES = 5 - EN_DEMANDREDUCTION = 6 - EN_LEAKAGELOSS = 7 - - # Link status codes used in rule-based controls - EN_R_IS_OPEN = 1 - EN_R_IS_CLOSED = 2 - EN_R_IS_ACTIVE = 3 - - EN_STEP_REPORT = 0 #Types of events that cause a timestep to end - EN_STEP_HYD = 1 - EN_STEP_WQ = 2 - EN_STEP_TANKEVENT = 3 - EN_STEP_CONTROLEVENT = 4 - - EN_MISSING = -1.0E10 - EN_SET_CLOSED = -1.0E10 - EN_SET_OPEN = 1.0E10 - - # MSX Constants - MSX_NODE = 0 - MSX_LINK = 1 - MSX_TANK = 2 - MSX_SPECIES = 3 - MSX_TERM = 4 - MSX_PARAMETER = 5 - MSX_CONSTANT = 6 - MSX_PATTERN = 7 - - MSX_BULK = 0 - MSX_WALL = 1 - - MSX_NOSOURCE = -1 - MSX_CONCEN = 0 - MSX_MASS = 1 - MSX_SETPOINT = 2 - MSX_FLOWPACED = 3 - - def _safe_delete(file): if isinstance(file, list): for file_path in file: @@ -503,7 +202,6 @@ def to_dict(self): dict_values = vars(self) return dict_values - def to_excel(self, filename=None, attributes=None, allValues=False, node_id_list=None, link_id_list=None, both=False, header=True): """ @@ -645,7 +343,6 @@ def process_dataframe(key, df): df = pd.DataFrame(data) df = process_dataframe(key, df) - worksheet = writer.sheets.get(worksheet_name) if first_iter: df.to_excel(writer, sheet_name=worksheet_name, index=False, header=header, startrow=1) @@ -694,7 +391,8 @@ def isList(var): return False -class epanet(error_handler): +# class epanet(error_handler): disabled for now +class epanet: """ EPyt main functions class Example with custom library @@ -702,7 +400,6 @@ class epanet(error_handler): d = epanet(inpname, msx=True,customlib=epanetlib) """ - def __init__(self, *argv, version=2.2, ph=False, loadfile=False, customlib=None, display_msg=True, display_warnings=True): # Constants @@ -714,59 +411,11 @@ def __init__(self, *argv, version=2.2, ph=False, loadfile=False, customlib=None, self.customlib = customlib self.MSXFile = None self.MSXTempFile = None - self.DEMANDMODEL = ['DDA', 'PDA'] - # Link types - self.TYPELINK = ['CVPIPE', 'PIPE', 'PUMP', 'PRV', 'PSV', - 'PBV', 'FCV', 'TCV', 'GPV', 'PCV'] - # Constants for mixing models - self.TYPEMIXMODEL = ['MIX1', 'MIX2', 'FIFO', 'LIFO'] - # Node types - self.TYPENODE = ['JUNCTION', 'RESERVOIR', 'TANK'] - # Constants for pumps - self.TYPEPUMP = ['CONSTANT_HORSEPOWER', 'POWER_FUNCTION', 'CUSTOM', 'NO_CURVE'] # index starts from 0 - # Link PUMP status - self.TYPEPUMPSTATE = ['XHEAD', '', 'CLOSED', 'OPEN', '', 'XFLOW'] - # Constants for quality - self.TYPEQUALITY = ['NONE', 'CHEM', 'AGE', 'TRACE', 'MULTIS'] - # Constants for sources - self.TYPESOURCE = ['CONCEN', 'MASS', 'SETPOINT', 'FLOWPACED'] - # Constants for statistics - self.TYPESTATS = ['NONE', 'AVERAGE', 'MINIMUM', 'MAXIMUM', 'RANGE'] - # Constants for control: 'LOWLEVEL', 'HILEVEL', 'TIMER', 'TIMEOFDAY' - self.TYPECONTROL = ['LOWLEVEL', 'HIGHLEVEL', 'TIMER', 'TIMEOFDAY'] - # Constants for report: 'YES', 'NO', 'FULL' - self.TYPEREPORT = ['YES', 'NO', 'FULL'] - # Link Status - self.TYPESTATUS = ['CLOSED', 'OPEN'] - # Constants for pump curves: 'PUMP', 'EFFICIENCY', 'VOLUME', 'HEADLOSS' - self.TYPECURVE = ['VOLUME', 'PUMP', 'EFFICIENCY', 'HEADLOSS', 'GENERAL', 'VALVE'] - # Constants of headloss types: HW: Hazen-Williams, - # DW: Darcy-Weisbach, CM: Chezy-Manning - self.TYPEHEADLOSS = ['HW', 'DW', 'CM'] - # Constants for units - self.TYPEUNITS = ['CFS', 'GPM', 'MGD', 'IMGD', 'AFD', - 'LPS', 'LPM', 'MLD', 'CMH', 'CMD','CMS'] - # 0 = closed (max. head exceeded), 1 = temporarily closed, - # 2 = closed, 3 = open, 4 = active (partially open) - # 5 = open (max. flow exceeded), 6 = open (flow setting not met), - # 7 = open (pressure setting not met) - self.TYPEBINSTATUS = ['CLOSED (MAX. HEAD EXCEEDED)', 'TEMPORARILY CLOSED', - 'CLOSED', 'OPEN', 'ACTIVE(PARTIALY OPEN)', - 'OPEN (MAX. FLOW EXCEEDED', - 'OPEN (PRESSURE SETTING NOT MET)'] - # Constants for rule-based controls: 'OPEN', 'CLOSED', 'ACTIVE' - self.RULESTATUS = ['OPEN', 'CLOSED', 'ACTIVE'] - # Constants for rule-based controls: 'IF', 'AND', 'OR' - self.LOGOP = ['IF', 'AND', 'OR'] - # Constants for rule-based controls: 'NODE','LINK','SYSTEM' - self.RULEOBJECT = ['NODE', 'LINK', 'SYSTEM'] - # Constants for rule-based controls: 'DEMAND', 'HEAD', 'GRADE' etc. - self.RULEVARIABLE = ['DEMAND', 'HEAD', 'GRADE', 'LEVEL', 'PRESSURE', 'FLOW', - 'STATUS', 'SETTING', 'POWER', 'TIME', - 'CLOCKTIME', 'FILLTIME', 'DRAINTIME'] - # Constants for rule-based controls: '=', '~=', '<=' etc. - self.RULEOPERATOR = ['=', '~=', '<=', '>=', '<', '>', 'IS', - 'NOT', 'BELOW', 'ABOVE'] + + # Enums + self.type_lists = EpytEnums() + for attr, value in self.type_lists.as_dict().items(): + setattr(self, attr, value) # Initial attributes self.classversion = __version__ @@ -777,42 +426,54 @@ def __init__(self, *argv, version=2.2, ph=False, loadfile=False, customlib=None, f'loaded (EPyT version v{self.classversion} - Last Update: {__lastupdate__}).') # ToolkitConstants: Contains all parameters from epanet2_2.h - self.ToolkitConstants = ToolkitConstants() + self.ToolkitConstants = EpanetConstants() self.api.solve = 0 if len(argv) > 0: self.InputFile = argv[0] self.__exist_inp_file = False - if len(argv) == 1: - if not os.path.exists(self.InputFile): - for root, dirs, files in os.walk(epyt_root): - for name in files: - if name.lower().endswith(".inp"): - if name == self.InputFile: - self.InputFile = os.path.join(root, self.InputFile) - break - else: - continue - break - self.__exist_inp_file = True - self.api.ENopen(self.InputFile) - # Save the temporary input file - self.TempInpFile = self.InputFile[0:-4] + '_temp.inp' - # Create a new INP file (Working Copy) - copyfile(self.InputFile, self.TempInpFile) - # self.saveInputFile(self.TempInpFile) - # Close input file - self.closeNetwork() - # Load temporary file - rptfile = self.InputFile[0:-4] + '_temp.txt' - binfile = self.InputFile[0:-4] + '_temp.bin' - self.RptTempfile = rptfile - self.BinTempfile = binfile - self.api.ENopen(self.TempInpFile, rptfile, binfile) - # Parameters - if not loadfile: - self.__getInitParams() + p = Path(self.InputFile) + + if not p.is_file(): + target = p.name + + # Build and cache an index of all .inp files under epyt_root (once) + inp_index = getattr(self, "_inp_index", None) + if inp_index is None: + inp_index = {} + for entry in Path(epyt_root).rglob("*.inp"): + # keep first occurrence only + inp_index.setdefault(entry.name, str(entry)) + self._inp_index = inp_index + + fullpath = self._inp_index.get(target) + if fullpath: + p = Path(fullpath) + self.InputFile = str(p) + else: + warnings.warn(f'File "{self.InputFile}" does not exist in "{epyt_root}".') + sys.exit(1) + + # file confirmed to exist at this point + self.__exist_inp_file = True + + base = p.with_suffix("") # remove ".inp" + self.TempInpFile = f"{base}_temp.inp" + self.RptTempfile = f"{base}_temp.txt" + self.BinTempfile = f"{base}_temp.bin" + + copy2(self.InputFile, self.TempInpFile) + + self.api.ENopenX(self.TempInpFile, self.RptTempfile, self.BinTempfile) + if (self.api.errcode >= 200 and self.api.errcode < 300): + self.api.ENclose() # close the file and fetch report contents + with open(self.RptTempfile, "r") as f: + print(f.read()) + self.api.ENopenX(self.TempInpFile, self.RptTempfile, self.BinTempfile) + + if not loadfile: + self.__getInitParams() elif (len(argv) == 2) and (argv[1].upper() == 'CREATE'): self.InputFile = argv[0] @@ -834,8 +495,6 @@ def __init__(self, *argv, version=2.2, ph=False, loadfile=False, customlib=None, self.LibEPANET = self.api.LibEPANET if self.display_msg: print(f'Input File {self.netName} loaded successfully.\n') - #if not self._isConnected(): - # warnings.warn("The network is not fully connected, one or more link(s) are missing.",UserWarning) def addControls(self, control, *argv): """ Adds a new simple control. @@ -2304,19 +1963,18 @@ def getNodeActualQualitySensingNodes(self, *argv): value = [] if len(argv) > 0: indices = argv[0] + for i in indices: + value.append(self.api.ENgetnodevalue(i, self.ToolkitConstants.EN_QUALITY)) else: - indices = self.getNodeIndex() - for i in indices: - value.append( - self.api.ENgetnodevalue(i, self.ToolkitConstants.EN_QUALITY) - ) + value = self.api.ENgetnodevalues(self.ToolkitConstants.EN_QUALITY) + return np.array(value) def getCMDCODE(self): """ Retrieves the CMC code """ return self.CMDCODE - def getComputedHydraulicTimeSeries(self, matrix=True, *argv): + def getComputedHydraulicTimeSeries(self, *argv): """ Computes hydraulic simulation and retrieves all time-series. Data that is computed: @@ -2326,7 +1984,10 @@ def getComputedHydraulicTimeSeries(self, matrix=True, *argv): 4) DemandDeficit 11) Setting 5) Head 12) Energy 6) TankVolume 13) Efficiency - 7) Flow + 7) Flow 14) State + 15) LinkLeakageRate 16) EmitterFlow + 17) DemandDelivered 18) DemandRequested + 19) NodeLeakageFlow Example 1: @@ -2335,13 +1996,6 @@ def getComputedHydraulicTimeSeries(self, matrix=True, *argv): Example 2: - # Retrieves all the time-series demands - >>> d.getComputedHydraulicTimeSeries().Demand - # Retrieves all the time-series flows - >>> d.getComputedHydraulicTimeSeries().Flow - - Example 3: - # Retrieves all the time-series Time, Pressure, Velocity >>> data = d.getComputedHydraulicTimeSeries(['Time', ... 'Pressure', @@ -2353,30 +2007,25 @@ def getComputedHydraulicTimeSeries(self, matrix=True, *argv): See also getComputedQualityTimeSeries, getComputedTimeSeries. """ value = EpytValues() - self.openHydraulicAnalysis() + self.api.ENopenH() self.api.solve = 1 - self.initializeHydraulicAnalysis() - sensingnodes = 0 + self.api.ENinitH(self.ToolkitConstants.EN_SAVE) + if len(argv) == 0: attrs = ['time', 'pressure', 'demand', 'demanddeficit', 'head', 'tankvolume', 'flow', 'velocity', 'headloss', 'status', - 'setting', 'energy', 'efficiency', 'state'] + 'setting', 'energy', 'efficiency', 'state', 'linkleakagerate', 'nodeleakageflow', 'emitterflow', + 'demanddelivered', 'demandrequested'] else: attrs = argv[0] - for i in attrs: - if type(i) is int: - sensingnodes = i - if 'time' in attrs: - value.Time = [] + + value.Time = [] if 'pressure' in attrs: value.Pressure = {} if 'demand' in attrs: value.Demand = {} if 'demanddeficit' in attrs: value.DemandDeficit = {} - if 'demandSensingNodes' in attrs: - value.DemandSensingNodes = {} - value.SensingNodesIndices = attrs[sensingnodes - 1] if 'head' in attrs: value.Head = {} if 'tankvolume' in attrs: @@ -2399,145 +2048,189 @@ def getComputedHydraulicTimeSeries(self, matrix=True, *argv): if 'state' in attrs: value.State = {} value.StateStr = {} + if 'linkleakagerate' in attrs: + value.LinkLeakageRate = {} + if 'nodeleakageflow' in attrs: + value.NodeLeakageFlow = {} + if 'emitterflow' in attrs: + value.EmitterFlow = {} + if 'demanddelivered' in attrs: + value.DemandDelivered = {} + if 'demandrequested' in attrs: + value.DemandRequested = {} + + nLinks = self.api.ENgetcount(self.ToolkitConstants.EN_LINKCOUNT) + nNodes = self.api.ENgetcount(self.ToolkitConstants.EN_NODECOUNT) + idx = self.getLinkTypeIndex() + pipecount = ( + np.count_nonzero(idx == self.ToolkitConstants.EN_PIPE) + + np.count_nonzero(idx == self.ToolkitConstants.EN_CVPIPE) + ) + find_pumps = idx == self.ToolkitConstants.EN_PUMP + pumpcount = np.count_nonzero(find_pumps) + valvecount = nLinks - pumpcount - pipecount + tankrescount = self.api.ENgetcount(self.ToolkitConstants.EN_TANKCOUNT) + junctioncount = nNodes - tankrescount + rescount = np.count_nonzero(idx == self.ToolkitConstants.EN_RESERVOIR) + dur = self.api.ENgettimeparam(self.ToolkitConstants.EN_DURATION) k, tstep = 1, 1 - while tstep > 0: - t = self.runHydraulicAnalysis() - if 'time' in attrs: - value.Time.append(t) + t = 0 + while tstep > 0 and (t != dur): + t = self.api.ENrunH() + value.Time.append(t) if 'pressure' in attrs: - value.Pressure[k] = self.getNodePressure() + value.Pressure[k] = self.api.ENgetnodevalues(self.ToolkitConstants.EN_PRESSURE) if 'demand' in attrs: - value.Demand[k] = self.getNodeActualDemand() + value.Demand[k] = self.api.ENgetnodevalues(self.ToolkitConstants.EN_DEMAND) if 'demanddeficit' in attrs: - value.DemandDeficit[k] = self.getNodeDemandDeficit() - if 'demandSensingNodes' in attrs: - value.DemandSensingNodes[k] = \ - self.getNodeActualDemandSensingNodes( - attrs[sensingnodes - 1] - ) + value.DemandDeficit[k] = self.api.ENgetnodevalues(self.ToolkitConstants.EN_DEMANDDEFICIT) if 'head' in attrs: - value.Head[k] = self.getNodeHydraulicHead() + value.Head[k] = self.api.ENgetnodevalues(self.ToolkitConstants.EN_HEAD) if 'tankvolume' in attrs: - value.TankVolume[k] = np.zeros( - self.getNodeJunctionCount() + - self.getNodeReservoirCount() - ) - value.TankVolume[k] = np.concatenate(( - value.TankVolume[k], - self.getNodeTankVolume())) + # Optimize: create array once instead of concatenating + num_non_tanks = junctioncount + rescount + tank_volumes = self.getNodeTankVolume() + value.TankVolume[k] = np.concatenate((np.zeros(num_non_tanks), tank_volumes)) if 'flow' in attrs: - value.Flow[k] = self.getLinkFlows() + value.Flow[k] = self.api.ENgetlinkvalues(self.ToolkitConstants.EN_FLOW) if 'velocity' in attrs: - value.Velocity[k] = self.getLinkVelocity() + value.Velocity[k] = self.api.ENgetlinkvalues(self.ToolkitConstants.EN_VELOCITY) if 'headloss' in attrs: - value.HeadLoss[k] = self.getLinkHeadloss() + value.HeadLoss[k] = self.api.ENgetlinkvalues(self.ToolkitConstants.EN_HEADLOSS) if 'status' in attrs: - value.Status[k] = self.getLinkStatus() - value.StatusStr[k] = [] - for i in value.Status[k]: - value.StatusStr[k].append(self.TYPESTATUS[i]) - value.StatusStr[k] = np.array(value.StatusStr[k]) + value.Status[k] = self.api.ENgetlinkvalues(self.ToolkitConstants.EN_STATUS) + st = np.asarray(value.Status[k]).astype(int) + value.StatusStr[k] = np.array([self.TYPESTATUS[i] for i in st]) if 'setting' in attrs: - value.Setting[k] = self.getLinkSettings() + value.Setting[k] = self.api.ENgetlinkvalues(self.ToolkitConstants.EN_SETTING) if 'energy' in attrs: - value.Energy[k] = self.getLinkEnergy() + value.Energy[k] = self.api.ENgetlinkvalues(self.ToolkitConstants.EN_ENERGY) if 'efficiency' in attrs: - value.Efficiency[k] = np.zeros(self.getLinkPipeCount()) - value.Efficiency[k] = np.concatenate(( - value.Efficiency[k], - self.getLinkPumpEfficiency())) - value.Efficiency[k] = np.concatenate(( - value.Efficiency[k], - np.zeros(self.getLinkValveCount()))) + # Optimize: create array once with all parts + pipe_zeros = np.zeros(pipecount) + pump_eff = self.api.ENgetlinkvalues(self.ToolkitConstants.EN_PUMP_EFFIC) + valve_zeros = np.zeros(valvecount) + value.Efficiency[k] = np.concatenate((pipe_zeros, pump_eff, valve_zeros)) if 'state' in attrs: - value.State[k] = self.getLinkPumpState() - value.StateStr[k] = [] - for i in value.State[k]: - value.StateStr[k].append(self.TYPEPUMPSTATE[int(i)]) - value.StateStr[k] = np.array(value.StateStr[k]) - tstep = self.nextHydraulicAnalysisStep() + value.State[k] = self.api.ENgetlinkvalues(self.ToolkitConstants.EN_PUMP_STATE) + ps = np.asarray(value.State[k]).astype(int) + 1 + value.StateStr[k] = np.array([self.TYPEPUMPSTATE[i] for i in ps]) + if 'linkleakagerate' in attrs: + value.LinkLeakageRate[k] = self.api.ENgetlinkvalues(self.ToolkitConstants.EN_LINK_LEAKAGE) + if 'nodeleakageflow' in attrs: + value.NodeLeakageFlow[k] = self.api.ENgetnodevalues(self.ToolkitConstants.EN_LEAKAGEFLOW) + if 'emitterflow' in attrs: + value.EmitterFlow[k] = self.api.ENgetnodevalues(self.ToolkitConstants.EN_EMITTERFLOW) + if 'demanddelivered' in attrs: + value.DemandDelivered[k] = self.api.ENgetnodevalues(self.ToolkitConstants.EN_DEMANDFLOW) + if 'demandrequested' in attrs: + value.DemandRequested[k] = self.api.ENgetnodevalues(self.ToolkitConstants.EN_FULLDEMAND) + + tstep = self.api.ENnextH() k += 1 - self.closeHydraulicAnalysis() + self.api.ENcloseH() value.Time = np.array(value.Time) value_final = EpytValues() val_dict = value.__dict__ - for i in val_dict: - if type(val_dict[i]) is dict: - exec(f"value_final.{i} = np.array(list(val_dict[i].values()))") + for key, val in val_dict.items(): + if isinstance(val, dict): + # Avoid exec() - use direct attribute assignment + setattr(value_final, key, np.array(list(val.values()))) else: - exec(f"value_final.{i} = val_dict[i]") + setattr(value_final, key, val) return value_final def getComputedQualityTimeSeries(self, *argv): - """ Computes Quality simulation and retrieves all or some time-series. + """Compute the quality simulation and retrieve selected time-series. - Data that is computed: + Data that can be computed: 1) Time 2) NodeQuality 3) LinkQuality 4) MassFlowRate + 5) Demand + 6) QualitySensingNodes + 7) DemandSensingNodes Example 1: - # Retrieves all the time-series data + # Retrieves all time-series data >>> d.getComputedQualityTimeSeries() + Example 2: - # Retrieves all the time-series node quality + # Retrieves the node quality time-series >>> d.getComputedQualityTimeSeries().NodeQuality - # Retrieves all the time-series link quality + # Retrieves the link quality time-series >>> d.getComputedQualityTimeSeries().LinkQuality Example 3: - # Retrieves all the time-series Time, NodeQuality, LinkQuality + # Retrieves Time, NodeQuality, LinkQuality >>> data = d.getComputedQualityTimeSeries(['time', ... 'nodequality', - 'linkquality']) + ... 'linkquality']) >>> time = data.Time >>> node_quality = data.NodeQuality >>> link_quality = data.LinkQuality + Example 4: + + # Retrieves quality at sensing nodes (pass indices as the second argument) + >>> data = d.getComputedQualityTimeSeries(['time', 'qualitysensingnodes'], sensing_node_indices) + See also getComputedHydraulicTimeSeries, getComputedTimeSeries. """ value = EpytValues() - sensingnodes = 0 + if not self.api.solve: self.solveCompleteHydraulics() self.api.solve = 1 + self.openQualityAnalysis() self.initializeQualityAnalysis() - # tleft = self.nextQualityAnalysisStep() + if len(argv) == 0: attrs = ['time', 'nodequality', 'linkquality', 'mass'] + sensing_indices = None else: attrs = argv[0] - for i in attrs: - if type(i) is int: - sensingnodes = i - if 'time' in attrs: - value.Time = [] + sensing_indices = argv[1] if len(argv) > 1 else None + + attrs = [a.lower() for a in attrs] + + value.Time = [] if 'nodequality' in attrs: value.NodeQuality = {} if 'linkquality' in attrs: value.LinkQuality = {} - if 'qualitySensingNodes' in attrs: - value.QualitySensingNodes = {} - value.SensingNodesIndices = attrs[sensingnodes - 1] - if 'demandSensingNodes' in attrs: - value.DemandSensingNodes = {} - value.SensingNodesIndices = attrs[sensingnodes - 1] if 'mass' in attrs: value.MassFlowRate = {} if 'demand' in attrs: value.Demand = {} - k, t, tleft = 1, 1, 1 + + if 'qualitysensingnodes' in attrs: + if sensing_indices is None: + raise ValueError("Provide sensing node indices as the second argument for 'qualitySensingNodes'.") + value.QualitySensingNodes = {} + value.SensingNodesIndices = sensing_indices + + if 'demandsensingnodes' in attrs: + if sensing_indices is None: + raise ValueError("Provide sensing node indices as the second argument for 'demandSensingNodes'.") + value.DemandSensingNodes = {} + value.SensingNodesIndices = sensing_indices + sim_duration = self.getTimeSimulationDuration() - while tleft > 0 or t < sim_duration: + k = 1 + t = 0 + tleft = 1 + + while tleft > 0 and t < sim_duration: t = self.runQualityAnalysis() - if 'time' in attrs: - value.Time.append(t) + + value.Time.append(t) if 'nodequality' in attrs: value.NodeQuality[k] = self.getNodeActualQuality() if 'linkquality' in attrs: @@ -2546,31 +2239,28 @@ def getComputedQualityTimeSeries(self, *argv): value.MassFlowRate[k] = self.getNodeMassFlowRate() if 'demand' in attrs: value.Demand[k] = self.getNodeActualDemand() - if 'qualitySensingNodes' in attrs: - value.QualitySensingNodes[k] = \ - self.getNodeActualQualitySensingNodes(argv[1]) - if 'demandSensingNodes' in attrs: - value.DemandSensingNodes[k] = \ - self.getNodeActualDemandSensingNodes( - attrs[sensingnodes - 1] - ) + if t < sim_duration: tleft = self.stepQualityAnalysisTimeLeft() + k += 1 + self.closeQualityAnalysis() + value.Time = np.array(value.Time) + value_final = EpytValues() - val_dict = value.__dict__ - for i in val_dict: - if type(val_dict[i]) is dict: - exec(f"value_final.{i} = np.array(list(val_dict[i].values()))") + for key, val in value.__dict__.items(): + if isinstance(val, dict): + setattr(value_final, key, np.array(list(val.values()))) else: - exec(f"value_final.{i} = val_dict[i]") + setattr(value_final, key, val) + return value_final def getComputedTimeSeries(self): """ Run analysis using .exe file """ - self.saveInputFile(self.TempInpFile) + self.api.ENsaveinpfile(self.TempInpFile) [fid, binfile, _] = self.runEPANETexe() if fid is False: # temporary. value_final = self.getComputedTimeSeries_ENepanet() @@ -2582,12 +2272,11 @@ def getComputedTimeSeries(self): value.ErrCode = self.errcode self.api.ENgeterror(self.errcode) - value.StatusStr = {} - for i in range(1, len(value.Status) + 1): - value.StatusStr[i] = [] - for j in value.Status[i]: - value.StatusStr[i].append(self.TYPEBINSTATUS[int(j)]) - value.StatusStr[i] = np.array(value.StatusStr[i]) + tb = np.asarray(self.TYPEBINSTATUS, dtype=object) + value.StatusStr = { + i: tb[np.asarray(value.Status[i], dtype=np.int16)] + for i in range(1, len(value.Status) + 1) + } # Remove report bin txt , files @# for file in Path(".").glob("@#*.txt"): @@ -2595,11 +2284,12 @@ def getComputedTimeSeries(self): value.Time = np.array(value.Time) value_final = EpytValues() val_dict = value.__dict__ - for i in val_dict: - if type(val_dict[i]) is dict: - exec(f"value_final.{i} = np.array(list(val_dict[i].values()))") + for key, val in val_dict.items(): + if isinstance(val, dict): + # Avoid exec() - use direct attribute assignment + setattr(value_final, key, np.array(list(val.values()))) else: - exec(f"value_final.{i} = val_dict[i]") + setattr(value_final, key, val) value_final.Status = value_final.Status.astype(int) return value_final @@ -2607,16 +2297,15 @@ def getComputedTimeSeries_ENepanet(self, tempfile=None, binfile=None, rptfile=No """ Run analysis using ENepanet function """ if tempfile is not None: - self.saveInputFile(tempfile) + self.api.ENsaveinpfile(tempfile) else: - self.saveInputFile(self.TempInpFile) + self.api.ENsaveinpfile(self.TempInpFile) uuID = ''.join(random.choices(string.ascii_letters + string.digits, k=10)) if binfile is None: binfile = '@#' + uuID + '.bin' if rptfile is None: rptfile = self.TempInpFile[:-4] + '.txt' - self.api.ENclose() if tempfile is not None: self.api.ENepanet(tempfile, rptfile, binfile) else: @@ -2628,24 +2317,25 @@ def getComputedTimeSeries_ENepanet(self, tempfile=None, binfile=None, rptfile=No if self.errcode: value.ErrCode = self.errcode value.WarnFlag = True - value.StatusStr = {} - for i in range(1, len(value.Status) + 1): - value.StatusStr[i] = [] - for j in value.Status[i]: - value.StatusStr[i].append(self.TYPEBINSTATUS[int(j)]) + tb = np.asarray(self.TYPEBINSTATUS, dtype=object) + value.StatusStr = { + i: tb[np.asarray(value.Status[i], dtype=np.int16)] + for i in range(1, len(value.Status) + 1) + } # Remove report bin txt , files @# for file in Path(".").glob("@#*.txt"): file.unlink() value.Time = np.array(value.Time) value_final = EpytValues() val_dict = value.__dict__ - for i in val_dict: - if type(val_dict[i]) is dict: - exec(f"value_final.{i} = np.array(list(val_dict[i].values()))") + for key, val in val_dict.items(): + if isinstance(val, dict): + # Avoid exec() - use direct attribute assignment + setattr(value_final, key, np.array(list(val.values()))) else: - exec(f"value_final.{i} = val_dict[i]") + setattr(value_final, key, val) value_final.Status = value_final.Status.astype(int) - self.loadEPANETFile(self.TempInpFile) + self.api.ENopen(self.TempInpFile, self.TempInpFile[0:-4] + '.txt', self.TempInpFile[0:-4] + '.bin') return value_final def getAdjacencyMatrix(self): @@ -2754,7 +2444,15 @@ def getControls(self, *argv): return value[argv[0]] def getControlRulesCount(self): - warnings.warn("This function: getControlRulesCount has been renamed to getControlCount please rename the function") + """ Retrieves the number of controls. + + Example: + + >>> d.getControlRulesCount() + + See also getControls, getRuleCount. + """ + return self.api.ENgetcount(self.ToolkitConstants.EN_CONTROLCOUNT) def getControlCount(self): """ Retrieves the number of controls. @@ -3210,18 +2908,16 @@ def getLinkType(self, *argv): See also getLinkTypeIndex, getLinksInfo, getLinkDiameter, getLinkLength, getLinkRoughnessCoeff, getLinkMinorLossCoeff. """ - lTypes = [] if len(argv) > 0: index = argv[0] if isinstance(index, list): - for i in index: - lTypes.append(self.TYPELINK[self.api.ENgetlinktype(i)]) + # Optimize: use list comprehension instead of append loop + return [self.TYPELINK[self.api.ENgetlinktype(i)] for i in index] else: - lTypes = self.TYPELINK[self.api.ENgetlinktype(index)] + return self.TYPELINK[self.api.ENgetlinktype(index)] else: - for i in range(self.getLinkCount()): - lTypes.append(self.TYPELINK[self.api.ENgetlinktype(i + 1)]) - return lTypes + # Optimize: use list comprehension instead of append loop + return [self.TYPELINK[self.api.ENgetlinktype(i + 1)] for i in range(self.getLinkCount())] def getLinkTypeIndex(self, *argv): """ Retrieves the link-type code for all links. @@ -3238,18 +2934,17 @@ def getLinkTypeIndex(self, *argv): See also getLinkType, getLinksInfo, getLinkDiameter, getLinkLength, getLinkRoughnessCoeff, getLinkMinorLossCoeff. """ - lTypes = [] if len(argv) > 0: index = argv[0] if isinstance(index, list): - for i in index: - lTypes.append(self.api.ENgetlinktype(i)) + # Optimize: get all types once and index into results + all_types = [self.api.ENgetlinktype(i + 1) for i in range(self.getLinkCount())] + return [all_types[i - 1] for i in index] else: - lTypes = self.api.ENgetlinktype(index) + return self.api.ENgetlinktype(index) else: - for i in range(self.getLinkCount()): - lTypes.append(self.api.ENgetlinktype(i + 1)) - return lTypes + # Get all link types - this could be cached if needed + return [self.api.ENgetlinktype(i + 1) for i in range(self.getLinkCount())] def getLinkDiameter(self, *argv): """ Retrieves the value of link diameters. @@ -3774,25 +3469,17 @@ def getLinksInfo(self): getLinkLength, getLinkRoughnessCoeff, getLinkMinorLossCoeff. """ value = EpytValues() - value.LinkDiameter = [] - value.LinkLength = [] - value.LinkRoughnessCoeff = [] - value.LinkMinorLossCoeff = [] - value.LinkInitialStatus = [] - value.LinkInitialSetting = [] - value.LinkBulkReactionCoeff = [] - value.LinkWallReactionCoeff = [] + value.LinkDiameter = self.api.ENgetlinkvalues(self.ToolkitConstants.EN_DIAMETER) + value.LinkLength = self.api.ENgetlinkvalues(self.ToolkitConstants.EN_LENGTH) + value.LinkRoughnessCoeff = self.api.ENgetlinkvalues(self.ToolkitConstants.EN_ROUGHNESS) + value.LinkMinorLossCoeff = self.api.ENgetlinkvalues(self.ToolkitConstants.EN_MINORLOSS) + value.LinkInitialStatus = self.api.ENgetlinkvalues(self.ToolkitConstants.EN_INITSTATUS) + value.LinkInitialSetting = self.api.ENgetlinkvalues(self.ToolkitConstants.EN_INITSETTING) + value.LinkBulkReactionCoeff = self.api.ENgetlinkvalues(self.ToolkitConstants.EN_KBULK) + value.LinkWallReactionCoeff = self.api.ENgetlinkvalues(self.ToolkitConstants.EN_KWALL) value.LinkTypeIndex = [] value.NodesConnectingLinksIndex = [[0, 0] for _ in range(self.getLinkCount())] for i in range(1, self.getLinkCount() + 1): - value.LinkDiameter.append(self.api.ENgetlinkvalue(i, self.ToolkitConstants.EN_DIAMETER)) - value.LinkLength.append(self.api.ENgetlinkvalue(i, self.ToolkitConstants.EN_LENGTH)) - value.LinkRoughnessCoeff.append(self.api.ENgetlinkvalue(i, self.ToolkitConstants.EN_ROUGHNESS)) - value.LinkMinorLossCoeff.append(self.api.ENgetlinkvalue(i, self.ToolkitConstants.EN_MINORLOSS)) - value.LinkInitialStatus.append(self.api.ENgetlinkvalue(i, self.ToolkitConstants.EN_INITSTATUS)) - value.LinkInitialSetting.append(self.api.ENgetlinkvalue(i, self.ToolkitConstants.EN_INITSETTING)) - value.LinkBulkReactionCoeff.append(self.api.ENgetlinkvalue(i, self.ToolkitConstants.EN_KBULK)) - value.LinkWallReactionCoeff.append(self.api.ENgetlinkvalue(i, self.ToolkitConstants.EN_KWALL)) value.LinkTypeIndex.append(self.api.ENgetlinktype(i)) xy = self.api.ENgetlinknodes(i) value.NodesConnectingLinksIndex[i - 1][0] = xy[0] @@ -4280,10 +3967,11 @@ def getNodeActualDemandSensingNodes(self, *argv): value = [] if len(argv) > 0: indices = argv[0] + for i in indices: + value.append(self.api.ENgetnodevalue(i, self.ToolkitConstants.EN_DEMAND)) else: - indices = self.getNodeIndex() - for i in indices: - value.append(self.api.ENgetnodevalue(i, self.ToolkitConstants.EN_DEMAND)) + value = self.api.ENgetnodevalues(self.ToolkitConstants.EN_DEMAND) + return np.array(value) def getNodeCount(self): @@ -4371,7 +4059,7 @@ def getNodeComment(self, *argv): value.append(self.api.ENgetcomment(self.ToolkitConstants.EN_NODE, i)) return value - def getNodeCoordinates(self, *argv, init = 0): + def getNodeCoordinates(self, *argv, init=0): # GET VERTICES vertices = self.getLinkVertices() # SET X Y node coordinates @@ -4383,7 +4071,7 @@ def getNodeCoordinates(self, *argv, init = 0): for i in indices: vx.append(self.api.ENgetcoord(i)[0]) vy.append(self.api.ENgetcoord(i)[1]) - if init ==1: + if init == 1: self.api.errcode = 0 if len(argv) == 0: vxx, vyy = {}, {} @@ -4423,18 +4111,16 @@ def getNodeDemandCategoriesNumber(self, *argv): See also getNodeBaseDemands, getNodeDemandPatternIndex, getNodeDemandPatternNameID. """ - value = [] if len(argv) > 0: index = argv[0] if isinstance(index, list): - for i in index: - value.append(self.api.ENgetnumdemands(i)) + # Use list comprehension instead of append loop for better performance + return [self.api.ENgetnumdemands(i) for i in index] else: - value = self.api.ENgetnumdemands(index) + return self.api.ENgetnumdemands(index) else: - for i in range(self.getNodeCount()): - value.append(self.api.ENgetnumdemands(i + 1)) - return value + # Use list comprehension instead of append loop for better performance + return [self.api.ENgetnumdemands(i + 1) for i in range(self.getNodeCount())] def getNodeDemandDeficit(self, *argv): """ Retrieves the amount that full demand is reduced under PDA. @@ -4490,11 +4176,9 @@ def getNodeReservoirHeadPatternIndex(self): print(d.getNodeReservoirHeadPatternIndex()) """ - value = [] - for i in self.getNodeReservoirIndex(): - pattern_index = self.api.ENgetnodevalue(i, self.ToolkitConstants.EN_PATTERN) - value.append(pattern_index) - return value + indexes = self.getNodeReservoirIndex() + values = self.api.ENgetnodevalues(self.ToolkitConstants.EN_PATTERN) + return [values[i - 1] for i in indexes] def getNodeDemandPatternNameID(self): """ Retrieves the value of all node base demands pattern name ID. @@ -4552,7 +4236,7 @@ def getNodeEmitterCoeff(self, *argv): See also setNodeEmitterCoeff, getNodesInfo, getNodeElevations. """ return self.__getNodeInfo(self.ToolkitConstants.EN_EMITTER, *argv) - + def getNodeEmitterFlow(self, *argv): """Retrieves node emmiter flow""" @@ -5644,18 +5328,16 @@ def getNodeType(self, *argv): See also getNodeNameID, getNodeIndex, getNodeTypeIndex, getNodesInfo. """ - nTypes = [] if len(argv) > 0: index = argv[0] if isinstance(index, list): - for i in index: - nTypes.append(self.TYPENODE[self.api.ENgetnodetype(i)]) + # Optimize: use list comprehension instead of append loop + return [self.TYPENODE[self.api.ENgetnodetype(i)] for i in index] else: - nTypes = self.TYPENODE[self.api.ENgetnodetype(index)] + return self.TYPENODE[self.api.ENgetnodetype(index)] else: - for i in range(self.getNodeCount()): - nTypes.append(self.TYPENODE[self.api.ENgetnodetype(i + 1)]) - return nTypes + # Optimize: use list comprehension instead of append loop + return [self.TYPENODE[self.api.ENgetnodetype(i + 1)] for i in range(self.getNodeCount())] def getNodeTypeIndex(self, *argv): """ Retrieves the node-type code for all nodes. @@ -5667,18 +5349,16 @@ def getNodeTypeIndex(self, *argv): See also getNodeNameID, getNodeIndex, getNodeType, getNodesInfo. """ - nTypes = [] if len(argv) > 0: index = argv[0] if isinstance(index, list): - for i in index: - nTypes.append(self.api.ENgetnodetype(i)) + # Optimize: use list comprehension instead of append loop + return [self.api.ENgetnodetype(i) for i in index] else: - nTypes = self.api.ENgetnodetype(index) + return self.api.ENgetnodetype(index) else: - for i in range(self.getNodeCount()): - nTypes.append(self.api.ENgetnodetype(i + 1)) - return nTypes + # Optimize: use list comprehension instead of append loop + return [self.api.ENgetnodetype(i + 1) for i in range(self.getNodeCount())] def getOptionsAccuracyValue(self): """ Retrieves the total normalized flow change for hydraulic convergence. @@ -5945,7 +5625,7 @@ def getOptionsPressureUnits(self): return "KPA" if z == self.ToolkitConstants.EN_METERS: return "METERS" - + def getOptionsStatusReport(self): """ Gets the status report , (`EN_NO_REPORT`, `EN_NORMAL_REPORT` or `EN_FULL_REPORT`).""" @@ -6638,6 +6318,17 @@ def getTimeClockStartTime(self): """ return self.api.ENgettimeparam(self.ToolkitConstants.EN_STARTTIME) + def getTimeStartTime(self): + """ Retrieves the simulation starting time of day. + + Example: + + >>> d.getTimeStartTime() + + See also getTimeSimulationDuration, getTimePatternStart. + """ + return self.api.ENgettimeparam(self.ToolkitConstants.EN_STARTTIME) + def getTimeHTime(self): """ Retrieves the elapsed time of current hydraulic solution. @@ -7422,8 +7113,6 @@ def setFlowUnitsGPM(self, *argv): """ self.__setFlowUnits(self.ToolkitConstants.EN_GPM, *argv) # gallons per minute - - def setFlowUnitsIMGD(self, *argv): """ Sets flow units to IMGD(Imperial Million Gallons per Day). @@ -8702,7 +8391,8 @@ def setNodeReservoirHeadPatternIndex(self, value, *argv): if value in self.getNodeReservoirIndex(): self.__setNodeDemandPattern('ENsetdemandpattern', self.ToolkitConstants.EN_PATTERN, value, *argv) else: - warnings.warn("Invalid reservoir index. For non-reservoir nodes, please use the setNodeDemandPatternIndex function.") + warnings.warn( + "Invalid reservoir index. For non-reservoir nodes, please use the setNodeDemandPatternIndex function.") def setNodeElevations(self, value, *argv): """ Sets the values of elevation for nodes. @@ -9720,7 +9410,7 @@ def setOptionsTankBulkReactionOrder(self, value): See also getOptionsTankBulkReactionOrder, setOptionsPipeBulkReactionOrder, setOptionsPipeWallReactionOrder. """ return self.api.ENsetoption(self.ToolkitConstants.EN_TANKORDER, value) - + def setOptionsPressureUnits(self, value): """Sets the pressure unit used in Epanet Example: @@ -9741,7 +9431,7 @@ def setOptionsPressureUnitsMeters(self): d.setOptionsPressureUnitsMeters() x = d.getOptionsPressureUnits() """ - self._ErrorinChangingMetric("KPA AND METERS","setOptionsPressureUnitsMeters") + self._ErrorinChangingMetric("KPA AND METERS", "setOptionsPressureUnitsMeters") return self.setOptionsPressureUnits(self.ToolkitConstants.EN_METERS) def setOptionsPressureUnitsPSI(self): @@ -9769,10 +9459,9 @@ def setOptionsPressureUnitsKPA(self): d.setOptionsPressureUnitsKPA() x = d.getOptionsPressureUnits() """ - self._ErrorinChangingMetric("KPA AND METERS","setOptionsPressureUnitsKPA") + self._ErrorinChangingMetric("KPA AND METERS", "setOptionsPressureUnitsKPA") return self.setOptionsPressureUnits(self.ToolkitConstants.EN_KPA) - def setOptionsStatusReport(self, value): """Sets the status report for epanet (`EN_NO_REPORT`, `EN_NORMAL_REPORT` or `EN_FULL_REPORT`). @@ -11551,17 +11240,16 @@ def __getLinkIndices(self, *argv): return self.getLinkIndex() def __getLinkInfo(self, code_p, *argv): - values = [] if len(argv) > 0: index = argv[0] if isinstance(index, (list, np.ndarray)): - for i in index: - values.append(self.api.ENgetlinkvalue(i, code_p)) + all_values = np.asarray(self.api.ENgetlinkvalues(code_p)) + indices = np.asarray(index, dtype=int) - 1 # 1-based -> 0-based + return all_values[indices] else: - values = self.api.ENgetlinkvalue(index, code_p) + return np.array(self.api.ENgetlinkvalue(index, code_p)) else: - values = self.api.ENgetlinkvalues(code_p) - return np.array(values) + return np.asarray(self.api.ENgetlinkvalues(code_p)) def __getNodeIndices(self, *argv): if len(argv) > 0: @@ -11579,18 +11267,16 @@ def __getNodeIndices(self, *argv): return self.getNodeIndex() def __getNodeInfo(self, code_p, *argv): - value = [] if len(argv) > 0: index = argv[0] if isinstance(index, (list, np.ndarray)): - for i in index: - value.append(self.api.ENgetnodevalue(i, code_p)) + all_values = np.asarray(self.api.ENgetnodevalues(code_p)) + indices = np.asarray(index, dtype=int) - 1 # 1-based -> 0-based + return all_values[indices] else: - return self.api.ENgetnodevalue(index, code_p) + return np.array(self.api.ENgetnodevalue(index, code_p)) else: - for i in range(self.getNodeCount()): - value.append(self.api.ENgetnodevalue(i + 1, code_p)) - return np.array(value) + return np.asarray(self.api.ENgetnodevalues(code_p)) def __getNodeJunctionIndices(self, *argv): if len(argv) == 0: @@ -11623,14 +11309,14 @@ def __getPumpLinkInfo(self, code_p, *argv): else: if index not in indices: pIndex = self.getLinkPumpIndex(index) - if not pIndex: + if pIndex is None or (isinstance(pIndex, np.ndarray) and pIndex.size == 0): return [] else: pIndex = index return self.api.ENgetlinkvalue(pIndex, code_p) else: - for i in indices: - values.append(self.api.ENgetlinkvalue(i, code_p)) + linkValues = self.api.ENgetlinkvalues(code_p) + values = [linkValues[i - 1] for i in indices] return np.array(values) def __getTankNodeInfo(self, code_p, *argv): @@ -11652,8 +11338,8 @@ def __getTankNodeInfo(self, code_p, *argv): pIndex = index values = self.api.ENgetnodevalue(pIndex, code_p) else: - for i in indices: - values.append(self.api.ENgetnodevalue(i, code_p)) + nodeValues = self.api.ENgetnodevalues(code_p) + values = [nodeValues[i - 1] for i in indices] return np.array(values) def __isMember(self, A, B): @@ -11800,8 +11486,9 @@ def __readEpanetBin(self, f, binfile, *argv): fields_new = ['Pressure', 'Demand', 'Head', 'NodeQuality', 'Flow', 'Velocity', 'HeadLoss', 'Status', 'Setting', 'ReactionRate', 'FrictionFactor', 'LinkQuality'] - for i in range(len(fields_param)): - exec("v." + fields_new[i] + " = value." + fields_param[i]) + # Avoid exec() - use direct attribute assignment + for old_field, new_field in zip(fields_param, fields_new): + setattr(v, new_field, getattr(value, old_field)) value = v # Close bin file and remove it f.close() @@ -11965,19 +11652,12 @@ def loadMSXFile(self, msxname, customMSXlib=None, ignore_properties=False): d.loadMSXFile(msxname, customMSXlib=msxlib)""" if not os.path.exists(msxname): - for root, dirs, files in os.walk(epyt_root): - for name in files: - if name.lower().endswith(".msx"): - if name == msxname: - msxname = os.path.join(root, msxname) - break - else: - continue - break + pattern = os.path.join(epyt_root, '**', os.path.basename(msxname)) + msxname = next(glob.iglob(pattern, recursive=True), msxname) self.MSXFile = msxname[:-4] self.MSXTempFile = msxname[:-4] + '_temp.msx' - copyfile(msxname, self.MSXTempFile) + copy2(msxname, self.MSXTempFile) self.msx = epanetmsxapi(self.MSXTempFile, customMSXlib=customMSXlib, display_msg=self.display_msg, msxrealfile=self.MSXFile) @@ -12021,17 +11701,31 @@ def loadMSXFile(self, msxname, customMSXlib=None, ignore_properties=False): return self.msx def unloadMSX(self): - """Unload library and close the MSX Toolkit system. - Example: - d.unloadMSX() - """ - self.msx.MSXclose() - arch = sys.platform - if arch == 'win64' or arch == 'win32': - msx_temp_files = list(filter(lambda f: os.path.isfile(os.path.join(os.getcwd(), f)) - and f.startswith("msx") and "." not in f, os.listdir(os.getcwd()))) - _safe_delete(msx_temp_files) - print('EPANET-MSX Toolkit is unloaded.') + """Closes MSX and cleans up temporary MSX files in the current working directory.""" + # Close MSX first + try: + self.msx.MSXclose() + except Exception as e: + print(f"MSXclose failed: {e}") + + # Clean up temp files on Windows + if sys.platform.startswith("win"): + cwd = os.getcwd() + + msx_temp_files = [] + for name in os.listdir(cwd): + path = os.path.join(cwd, name) + if not os.path.isfile(path): + continue + + # EPANET-MSX often creates files like: msxXXXX (no extension) + if name.startswith("msx") and "." not in name: + msx_temp_files.append(name) + + if msx_temp_files: + _safe_delete(msx_temp_files) + + print("EPANET-MSX Toolkit is unloaded.") def getMSXSpeciesCount(self): """ Retrieves the number of species. @@ -12223,41 +11917,8 @@ def getMSXOptions(self): # COMPILER NONE/VC/GC # SEGMENTS value # PECLET value - try: - # Key-value pairs to search for - keys = ["AREA_UNITS", "RATE_UNITS", "SOLVER", "COUPLING", "TIMESTEP", "ATOL", "RTOL", "COMPILER", - "SEGMENTS", \ - "PECLET"] - float_values = ["TIMESTEP", "ATOL", "RTOL", "SEGMENTS", "PECLET"] - values = {key: None for key in keys} - - # Flag to determine if we're in the [OPTIONS] section - in_options = False - - # Open and read the file - with open(self.MSXTempFile, 'r') as file: - for line in file: - # Check for [OPTIONS] section - if "[OPTIONS]" in line: - in_options = True - elif "[" in line and "]" in line: - in_options = False # We've reached a new section - - if in_options: - # Pattern to match the keys and extract values, ignoring comments and whitespace - pattern = re.compile(r'^\s*(' + '|'.join(keys) + r')\s+(.*?)\s*(?:;.*)?$') - match = pattern.search(line) - if match: - key, value = match.groups() - if key in float_values: - values[key] = float(value) - else: - values[key] = value - - return SimpleNamespace(**values) - except FileNotFoundError: - warnings.warn("Please load MSX File.") - return {} + options = self.msx.MSXgetoptions() + return options def getMSXTimeStep(self): """ Retrieves the time step. @@ -12394,7 +12055,6 @@ def getMSXConstantsNameID(self, *ids): """ total = self.getMSXConstantsCount() - if not ids: indices = range(1, total + 1) @@ -12404,7 +12064,6 @@ def getMSXConstantsNameID(self, *ids): else: indices = ids - MSX_CONSTANT = self.ToolkitConstants.MSX_CONSTANT names = [] for i in indices: @@ -12542,15 +12201,15 @@ def getMSXSpeciesNameID(self, *argv): index = argv[0] if isinstance(index, list): for i in index: - len_id = self.msx.MSXgetIDlen(msx_species, i+1) - values.append(self.msx.MSXgetID(msx_species, i+1, len_id)) + len_id = self.msx.MSXgetIDlen(msx_species, i + 1) + values.append(self.msx.MSXgetID(msx_species, i + 1, len_id)) else: len_id = self.msx.MSXgetIDlen(self.ToolkitConstants.MSX_SPECIES, index) values = self.msx.MSXgetID(msx_species, index, len_id) else: for i in range(self.getMSXSpeciesCount()): - len_id = self.msx.MSXgetIDlen(msx_species, i+1) - values.append(self.msx.MSXgetID(msx_species, i+1, len_id)) + len_id = self.msx.MSXgetIDlen(msx_species, i + 1) + values.append(self.msx.MSXgetID(msx_species, i + 1, len_id)) return values def getMSXParametersIndex(self, *names): @@ -13513,42 +13172,6 @@ def getMSXSourceNodeNameID(self): nodes.append(i) return nodes - def _changeMSXOptions(self, param, change): - options_section = 'options_section.msx' - self.saveMSXFile(options_section) - - with open(options_section, 'r+') as f: - lines = f.readlines() - options_index = -1 # Default to -1 in case the [OPTIONS] section does not exist - flag = 0 - for i, line in enumerate(lines): - if line.strip() == '[OPTIONS]': - options_index = i - elif line.strip().startswith(param): - lines[i] = param + "\t" + str(change) + "\n" - flag = 1 - if flag == 0 and options_index != -1: - lines.insert(options_index + 1, param + "\t" + str(change) + "\n") - f.seek(0) - f.writelines(lines) - f.truncate() - - try: - self.msx.MSXclose() - except: - pass - - copyfile(options_section, self.MSXTempFile) - try: - self.loadMSXEPANETFile(self.MSXTempFile) - except: - pass - try: - os.remove(options_section) - except: - pass - - def setMSXAreaUnitsCM2(self): """ Sets the area units to square centimeters. @@ -13562,7 +13185,7 @@ def setMSXAreaUnitsCM2(self): d.getMSXAreaUnits() See also setMSXAreaUnitsFT2, setMSXAreaUnitsM2.""" - self._changeMSXOptions("AREA_UNITS", "CM2") + self.msx.MSXsetoptions("AREA_UNITS", "CM2") def setMSXAreaUnitsFT2(self): """ Sets the area units to square feet. @@ -13577,7 +13200,7 @@ def setMSXAreaUnitsFT2(self): d.getMSXAreaUnits() See also setMSXAreaUnitsM2, setMSXAreaUnitsCM2.""" - self._changeMSXOptions("AREA_UNITS", "FT2") + self.msx.MSXsetoptions("AREA_UNITS", "FT2") def setMSXAreaUnitsM2(self): """ Sets the area units to square meters. @@ -13592,7 +13215,7 @@ def setMSXAreaUnitsM2(self): d.getMSXAreaUnits() See also setMSXAreaUnitsFT2, setMSXAreaUnitsCM2.""" - self._changeMSXOptions("AREA_UNITS", "M2") + self.msx.MSXsetoptions("AREA_UNITS", "M2") def setMSXAtol(self, value): """ Sets the absolute tolerance used to determine when two concentration levels of a @@ -13609,7 +13232,7 @@ def setMSXAtol(self, value): d.getMSXAtol() % See also setMSXRtol.""" - self._changeMSXOptions("ATOL", value) + self.msx.MSXsetoptions("ATOL", value) def setMSXRtol(self, value): """Sets the relative accuracy level on a species’ concentration @@ -13625,7 +13248,7 @@ def setMSXRtol(self, value): d.getMSXRtol() See also setMSXAtol.""" - self._changeMSXOptions("RTOL", value) + self.msx.MSXsetoptions("RTOL", value) def setMSXCompilerGC(self): """ Sets chemistry function compiler code to GC. @@ -13638,7 +13261,7 @@ def setMSXCompilerGC(self): d.getMSXCompiler() See also setMSXCompilerNONE, setMSXCompilerVC.""" - self._changeMSXOptions("COMPILER", "GC") + self.msx.MSXsetoptions("COMPILER", "GC") def setMSXCompilerVC(self): """ Sets chemistry function compiler code to VC. @@ -13651,7 +13274,7 @@ def setMSXCompilerVC(self): d.getMSXCompiler() See also setMSXCompilerNONE, setMSXCompilerGC.""" - self._changeMSXOptions("COMPILER", "VC") + self.msx.MSXsetoptions("COMPILER", "VC") def setMSXCompilerNONE(self): """ Sets chemistry function compiler code to NONE. @@ -13664,7 +13287,7 @@ def setMSXCompilerNONE(self): d.getMSXCompiler() See also setMSXCompilerVC, setMSXCompilerGC.""" - self._changeMSXOptions("COMPILER", "NONE") + self.msx.MSXsetoptions("COMPILER", "NONE") def setMSXCouplingFULL(self): """ Sets coupling to FULL. @@ -13683,7 +13306,7 @@ def setMSXCouplingFULL(self): d.getMSXCoupling() See also setMSXCouplingNONE.""" - self._changeMSXOptions("COUPLING", "FULL") + self.msx.MSXsetoptions("COUPLING", "FULL") def setMSXCouplingNONE(self): """ Sets coupling to NONE. @@ -13702,7 +13325,7 @@ def setMSXCouplingNONE(self): d.getMSXCoupling() See also setMSXCouplingFULL.""" - self._changeMSXOptions("COUPLING", "NONE") + self.msx.MSXsetoptions("COUPLING", "NONE") def setMSXRateUnitsDAY(self): """ Sets the rate units to days. @@ -13718,7 +13341,7 @@ def setMSXRateUnitsDAY(self): See also setMSXRateUnitsSEC, setMSXRateUnitsMIN setMSXRateUnitsHR.""" - self._changeMSXOptions("RATE_UNITS", "DAY") + self.msx.MSXsetoptions("RATE_UNITS", "DAY") def setMSXRateUnitsHR(self): """ Sets the rate units to hours. @@ -13734,7 +13357,7 @@ def setMSXRateUnitsHR(self): See also setMSXRateUnitsSEC, setMSXRateUnitsMIN setMSXRateUnitsDAY.""" - self._changeMSXOptions("RATE_UNITS", "HR") + self.msx.MSXsetoptions("RATE_UNITS", "HR") def setMSXRateUnitsMIN(self): """ Sets the rate units to minutes. @@ -13750,7 +13373,7 @@ def setMSXRateUnitsMIN(self): See also setMSXRateUnitsSEC, setMSXRateUnitsHR, setMSXRateUnitsDAY.""" - self._changeMSXOptions("RATE_UNITS", "MIN") + self.msx.MSXsetoptions("RATE_UNITS", "MIN") def setMSXRateUnitsSEC(self): """ Sets the rate units to seconds. @@ -13766,7 +13389,7 @@ def setMSXRateUnitsSEC(self): See also setMSXRateUnitsMIN, setMSXRateUnitsHR, setMSXRateUnitsDAY.""" - self._changeMSXOptions("RATE_UNITS", "SEC") + self.msx.MSXsetoptions("RATE_UNITS", "SEC") def setMSXSolverEUL(self): """ Sets the numerical integration method to solve the reaction @@ -13782,7 +13405,7 @@ def setMSXSolverEUL(self): d.getMSXSolver() See also setMSXSolverRK5, setMSXSolverROS2.""" - self._changeMSXOptions("SOLVER", "EUL") + self.msx.MSXsetoptions("SOLVER", "EUL") def setMSXSolverRK5(self): """ Sets the numerical integration method to solve the reaction @@ -13798,7 +13421,7 @@ def setMSXSolverRK5(self): d.getMSXSolver() % See also setMSXSolverEUL, setMSXSolverROS2.""" - self._changeMSXOptions("SOLVER", "RK5") + self.msx.MSXsetoptions("SOLVER", "RK5") def setMSXSolverROS2(self): """ Sets the numerical integration method to solve the reaction @@ -13814,7 +13437,7 @@ def setMSXSolverROS2(self): d.getMSXSolver() See also setMSXSolverEUL, setMSXSolverRK5.""" - self._changeMSXOptions("SOLVER", "ROS2") + self.msx.MSXsetoptions("SOLVER", "ROS2") def setMSXTimeStep(self, value): """ Sets the time step. @@ -13829,7 +13452,7 @@ def setMSXTimeStep(self, value): d.getMSXTimeStep() See also getMSXTimeStep.""" - self._changeMSXOptions("TIMESTEP", value) + self.msx.MSXsetoptions("TIMESTEP", value) def setMSXPatternValue(self, index, patternTimeStep, patternFactor): """ Sets the pattern factor for an index for a specific time step. @@ -14745,7 +14368,7 @@ def setVertex(self, index, vertex, x, y): errcode = self.api.ENsetvertex(index, vertex, x, y) return errcode - def getControlState(self, index = None): + def getControlState(self, index=None): """ Purpose: Retrieves the enabled state of a specified control in the EPANET model. @@ -14774,8 +14397,8 @@ def getControlState(self, index = None): x = d.getControlState() print(f"Control state: {x}") """ - if index == None : - enablelist = [] + if index == None: + enablelist = [] iterations = self.getControlCount() for i in range(1, iterations + 1): enabled = self.api.ENgetcontrolenabled(i) @@ -14811,9 +14434,7 @@ def setControlEnabled(self, index, enabled): errcode = self.api.ENsetcontrolenabled(index, enabled) return errcode - - - def getRuleEnabled(self, index = None): + def getRuleEnabled(self, index=None): """ Purpose: Retrieves the enabled state of a specific rule in the EPANET model. @@ -14842,8 +14463,8 @@ def getRuleEnabled(self, index = None): x = d.getRuleEnabled() print(f"Rule state: {x}") """ - if index == None : - enablelist = [] + if index == None: + enablelist = [] iterations = self.getRuleCount() for i in range(1, iterations + 1): enabled = self.api.ENgetruleenabled(i) @@ -14878,8 +14499,6 @@ def setRuleEnabled(self, index, enabled): errcode = self.api.ENsetruleenabled(index, enabled) return errcode - - def openX(self, inpFile, rptFile, outFile): """Enable the opening of input files with formatting errors""" self.api.ENopenX(inpFile, rptFile, outFile) @@ -14924,7 +14543,7 @@ def getLinkValues(self, property): d.closeHydraulicAnalysis()""" values = self.api.ENgetlinkvalues(property) return values - + def getLinkValveCurveGPV(self, *argv): """ Retrieves the valve curve for a specified pressure control valve (GPV). @@ -14955,7 +14574,8 @@ def getLinkValveCurveGPV(self, *argv): print(x) """ values = self.__getLinkInfo(self.ToolkitConstants.EN_GPV_CURVE, *argv) - return values + return values + def getLinkValveCurvePCV(self, *argv): """ Retrieves the valve curve for a specified pressure control valve (PCV). @@ -14988,7 +14608,7 @@ def getLinkValveCurvePCV(self, *argv): values = self.__getLinkInfo(self.ToolkitConstants.EN_PCV_CURVE, *argv) - return values + return values def setLinkValveCurveGPV(self, index, value): """ @@ -15083,7 +14703,6 @@ def setOptionsEmitterBackFlowDisallowed(self): """ self.api.ENsetoption(self.ToolkitConstants.EN_EMITBACKFLOW, 0) - def getLinkLeakArea(self, *argv): """ Function to retrieve the leak area for a specified link (pipe). @@ -15152,7 +14771,7 @@ def setLinkLeakArea(self, index, value): See also: getLinkLeakArea """ - self.api.ENsetlinkvalue(index,self.ToolkitConstants.EN_LEAK_AREA, value) + self.api.ENsetlinkvalue(index, self.ToolkitConstants.EN_LEAK_AREA, value) def setLinkExpansionProperties(self, index, value): """ @@ -15173,7 +14792,7 @@ def setLinkExpansionProperties(self, index, value): See also: getLinkExpansionProperties """ - self.api.ENsetlinkvalue(index,self.ToolkitConstants.EN_LEAK_EXPAN, value) + self.api.ENsetlinkvalue(index, self.ToolkitConstants.EN_LEAK_EXPAN, value) def getLinkLeakageRate(self, *argv): """ @@ -15220,7 +14839,6 @@ def getNodeLeakageFlow(self, index): """ return self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_LEAKAGEFLOW) - def _isConnected(self): """Checks if the water network is fully connected""" matrix = self.getConnectivityMatrix() @@ -15232,6 +14850,7 @@ def _dfs(node): for neighbor in range(n): if matrix[node][neighbor] == 1 and not visited[neighbor]: _dfs(neighbor) + _dfs(1) if all(visited): return True @@ -15304,10 +14923,8 @@ def getLinkInControl(self, *args): print(x) """ if not args: - countlink = self.getLinkCount() - results = [] - for index in range(1, countlink + 1): - results.append(int(self.api.ENgetlinkvalue(index, self.ToolkitConstants.EN_LINK_INCONTROL))) + values = self.api.ENgetlinkvalues(self.ToolkitConstants.EN_LINK_INCONTROL) + results = [int(x) for x in values] return results if len(args) == 1: @@ -15364,9 +14981,8 @@ def getNodeInControl(self, *args): results = [] if not args: - countnode = self.getNodeCount() - for index in range(1, countnode + 1): - results.append(int(self.api.ENgetnodevalue(index, self.ToolkitConstants.EN_NODE_INCONTROL))) + results = self.api.ENgetnodevalues(self.ToolkitConstants.EN_NODE_INCONTROL) + results = [int(i) for i in results] return results if len(args) == 1: @@ -15387,14 +15003,15 @@ def _ErrorinChangingMetric(self, wanted, nameofFunction): reset_text = "\033[0m" current = self._FlowUnitsCheck() if current == "PSI" and wanted == "KPA AND METERS": - print(f"{red_text}UserWarning: Error in function: {nameofFunction}, the function didnt change the metric Please change" - f" the metric using one of the following:\n " - f"1. setFlowUnitsCMH() -> Cubic meters per hour \n" - f" 2. setFlowUnitsCMS() -> Cubic meters per second \n" - f" 3. setFlowUnitsMLD() -> Million liters per day \n" - f" 4. setFlowUnitsCMD() -> Cubic meters per day \n" - f" 5. setFlowUnitsLPS() -> Liters per second \n" - f" 6. setFlowUnitsLPM() -> Liters per minute {reset_text}") + print( + f"{red_text}UserWarning: Error in function: {nameofFunction}, the function didnt change the metric Please change" + f" the metric using one of the following:\n " + f"1. setFlowUnitsCMH() -> Cubic meters per hour \n" + f" 2. setFlowUnitsCMS() -> Cubic meters per second \n" + f" 3. setFlowUnitsMLD() -> Million liters per day \n" + f" 4. setFlowUnitsCMD() -> Cubic meters per day \n" + f" 5. setFlowUnitsLPS() -> Liters per second \n" + f" 6. setFlowUnitsLPM() -> Liters per minute {reset_text}") else: if current == "KPA AND METERS" and wanted == "PSI": print( @@ -15406,22 +15023,22 @@ def _ErrorinChangingMetric(self, wanted, nameofFunction): f" 4. setFlowUnitsMGD() -> Million gallons per day \n" f" 5. setFlowUnitsGPM() -> Gallons per minute \n{reset_text}") - def _FlowUnitsCheck(self): "Returns the Metric of the system" flowunits = self.getFlowUnits() if flowunits == "MDG" or flowunits == "IMGD" or flowunits == "CFS" or flowunits == "CFS" or flowunits == "GPM": return "PSI" else: - if (flowunits == "CMH" or flowunits == "CMS" or flowunits == "MLD" or flowunits == "CMD" or flowunits == "LPS" or + if ( + flowunits == "CMH" or flowunits == "CMS" or flowunits == "MLD" or flowunits == "CMD" or flowunits == "LPS" or flowunits == "LPM"): return "KPA AND METERS" else: return "UNKNOWN" def exportMSXts(self, results, output_file='computedtoexcel.xlsx', selected_nodes=None, - selected_species=None, - header=True): + selected_species=None, + header=True): """ Exports multi-species water-quality time-series results (from an EPANET-MSX simulation) to an Excel workbook—one sheet per species. @@ -15583,7 +15200,7 @@ def exportMSXts(self, results, output_file='computedtoexcel.xlsx', selected_node print(f"Data successfully written to {output_file}") - def exportMSXstatistics(self,input_path, output_path="summary_output.xlsx", nodeids=True, nodeindex=True): + def exportMSXstatistics(self, input_path, output_path="summary_output.xlsx", nodeids=True, nodeindex=True): """ Summarizes min, max, and average values for each node in an Excel file with a specific structure. @@ -15657,3635 +15274,3 @@ def exportMSXstatistics(self,input_path, output_path="summary_output.xlsx", node df.to_excel(writer, sheet_name=sheet_name, index=False) print(f"Summary saved to: {output_path}") - -class epanetapi: - """ - EPANET Toolkit functions - API - """ - - EN_MAXID = 32 # toolkit constant - - def __init__(self, version=2.2, ph=False, loadlib=True, customlib=None): - """Load the EPANET library. - - Parameters: - version EPANET version to use (currently 2.2) - """ - self._lib = None - self.errcode = 0 - self.inpfile = None - self.rptfile = None - self.binfile = None - self._ph = None - - # Check platform and Load epanet library - # libname = f"epanet{str(version).replace('.', '_')}" - if customlib is not None: - if not os.path.isabs(customlib): - self.LibEPANET = os.path.join(os.getcwd(), customlib) - else: - self.LibEPANET = customlib - loadlib = False - self._lib = cdll.LoadLibrary(self.LibEPANET) - self.LibEPANETpath = os.path.dirname(self.LibEPANET) - - if loadlib: - libname = f"epanet2" - ops = platform.system().lower() - if ops in ["windows"]: - self.LibEPANET = os.path.join(epyt_root, os.path.join("libraries", "win", f"{libname}.dll")) - elif ops in ["darwin"]: - self.LibEPANET = os.path.join(epyt_root, os.path.join("libraries", f"mac/lib{libname}.dylib")) - else: - self.LibEPANET = os.path.join(epyt_root, os.path.join("libraries", f"glnx/lib{libname}.so")) - - self._lib = cdll.LoadLibrary(self.LibEPANET) - self.LibEPANETpath = os.path.dirname(self.LibEPANET) - - if float(version) >= 2.2 and ph: - self._ph = c_uint64() - - def ENepanet(self, inpfile="", rptfile="", binfile=""): - """ Runs a complete EPANET simulation - Parameters: - inpfile Input file to use - rptfile Output file to report to - binfile Results file to generate - """ - self.inpfile = inpfile.encode("utf-8") - self.rptfile = rptfile.encode("utf-8") - self.binfile = binfile.encode("utf-8") - self.errcode = self._lib.ENepanet(self.inpfile, self.rptfile, self.binfile, c_void_p()) - self.ENgeterror() - - def ENaddcontrol(self, conttype, lindex, setting, nindex, level): - """ Adds a new simple control to a project. - - ENaddcontrol(ctype, lindex, setting, nindex, level) - - Parameters: - conttype the type of control to add (see ControlTypes). - lindex the index of a link to control (starting from 1). - setting control setting applied to the link. - nindex index of the node used to control the link (0 for EN_TIMER and EN_TIMEOFDAY controls). - level action level (tank level, junction pressure, or time in seconds) that triggers the control. - - Returns: - cindex index of the new control. - """ - index = c_int() - if self._ph is not None: - self.errcode = self._lib.EN_addcontrol(self._ph, conttype, int(lindex), c_double(setting), nindex, - c_double(level), byref(index)) - else: - self.errcode = self._lib.ENaddcontrol(conttype, int(lindex), c_float(setting), nindex, - c_float(level), byref(index)) - self.ENgeterror() - return index.value - - def ENaddcurve(self, cid): - """ Adds a new data curve to a project. - - - ENaddcurve(cid) - - Parameters: - cid The ID name of the curve to be added. - - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___curves.html - """ - - if self._ph is not None: - self.errcode = self._lib.EN_addcurve(self._ph, cid.encode('utf-8')) - else: - self.errcode = self._lib.ENaddcurve(cid.encode('utf-8')) - - self.ENgeterror() - - def ENadddemand(self, nodeIndex, baseDemand, demandPattern, demandName): - """ Appends a new demand to a junction node demands list. - - ENadddemand(nodeIndex, baseDemand, demandPattern, demandName) - - Parameters: - nodeIndex the index of a node (starting from 1). - baseDemand the demand's base value. - demandPattern the name of a time pattern used by the demand. - demandName the name of the demand's category. - - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___demands.html - """ - - if self._ph is not None: - self.errcode = self._lib.EN_adddemand(self._ph, int(nodeIndex), c_double(baseDemand), - demandPattern.encode("utf-8"), - demandName.encode("utf-8")) - else: - self.errcode = self._lib.ENadddemand(int(nodeIndex), c_float(baseDemand), - demandPattern.encode("utf-8"), - demandName.encode("utf-8")) - - self.ENgeterror() - return - - def ENaddlink(self, linkid, linktype, fromnode, tonode): - """ Adds a new link to a project. - - ENaddlink(linkid, linktype, fromnode, tonode) - - Parameters: - linkid The ID name of the link to be added. - linktype The type of link being added (see EN_LinkType, self.LinkType). - fromnode The ID name of the link's starting node. - tonode The ID name of the link's ending node. - - Returns: - index the index of the newly added link. - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___links.html - """ - index = c_int() - - if self._ph is not None: - self.errcode = self._lib.EN_addlink(self._ph, linkid.encode('utf-8'), linktype, - fromnode.encode('utf-8'), tonode.encode('utf-8'), byref(index)) - else: - self.errcode = self._lib.ENaddlink(linkid.encode('utf-8'), linktype, - fromnode.encode('utf-8'), tonode.encode('utf-8'), byref(index)) - self.ENgeterror() - return index.value - - def ENaddnode(self, nodeid, nodetype): - """ Adds a new node to a project. - - ENaddnode(nodeid, nodetype) - - Parameters: - nodeid the ID name of the node to be added. - nodetype the type of node being added (see EN_NodeType). - - Returns: - index the index of the newly added node. - See also EN_NodeProperty, NodeType - """ - index = c_int() - - if self._ph is not None: - self.errcode = self._lib.EN_addnode(self._ph, nodeid.encode("utf-8"), nodetype, byref(index)) - else: - self.errcode = self._lib.ENaddnode(nodeid.encode("utf-8"), nodetype, byref(index)) - - self.ENgeterror() - return index.value - - def ENaddpattern(self, patid): - """ Adds a new time pattern to a project. - - ENaddpattern(patid) - - Parameters: - patid the ID name of the pattern to add. - - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___patterns.html - """ - - if self._ph is not None: - self.errcode = self._lib.EN_addpattern(self._ph, patid.encode("utf-8")) - else: - self.errcode = self._lib.ENaddpattern(patid.encode("utf-8")) - - self.ENgeterror() - return - - def ENaddrule(self, rule): - """ Adds a new rule-based control to a project. - - - ENaddrule(rule) - - Parameters: - rule text of the rule following the format used in an EPANET input file. - - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___rules.html - """ - - if self._ph is not None: - self.errcode = self._lib.EN_addrule(self._ph, rule.encode('utf-8')) - else: - self.errcode = self._lib.ENaddrule(rule.encode('utf-8')) - - self.ENgeterror() - - def ENclearreport(self): - """ Clears the contents of a project's report file. - - - ENclearreport() - - """ - - if self._ph is not None: - self.errcode = self._lib.EN_clearreport(self._ph) - else: - self.errcode = self._lib.ENclearreport() - - self.ENgeterror() - - def ENclose(self): - """ Closes a project and frees all of its memory. - - ENclose() - - See also ENopen - """ - if self._ph is not None: - self.errcode = self._lib.EN_close(self._ph) - self._ph = c_uint64() - else: - self.errcode = self._lib.ENclose() - - self.ENgeterror() - - def ENcloseH(self): - """ Closes the hydraulic solver freeing all of its allocated memory. - - ENcloseH() - - See also ENinitH, ENrunH, ENnextH - """ - - if self._ph is not None: - self.errcode = self._lib.EN_closeH(self._ph) - else: - self.errcode = self._lib.ENcloseH() - - self.ENgeterror() - return - - def ENcloseQ(self): - """ Closes the water quality solver, freeing all of its allocated memory. - - ENcloseQ() - - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___quality.html - """ - - if self._ph is not None: - self.errcode = self._lib.EN_closeQ(self._ph) - else: - self.errcode = self._lib.ENcloseQ() - - self.ENgeterror() - return - - def ENcopyreport(self, filename): - """ Copies the current contents of a project's report file to another file. - - - ENcopyreport(filename) - - Parameters: - filename the full path name of the destination file - - """ - - if self._ph is not None: - self.errcode = self._lib.EN_copyreport(self._ph, filename.encode("utf-8")) - else: - self.errcode = self._lib.ENcopyreport(filename.encode("utf-8")) - - self.ENgeterror() - - def ENcreateproject(self): - """ Copies the current contents of a project's report file to another file. - *** ENcreateproject must be called before any other API functions are used. *** - ENcreateproject() - - Parameters: - ph an EPANET project handle that is passed into all other API functions. - - """ - - if self._ph is not None: - self.errcode = self._lib.EN_createproject(byref(self._ph)) - - self.ENgeterror() - return - - def ENdeletecontrol(self, index): - """ Deletes an existing simple control. - - - ENdeletecontrol(index) - - Parameters: - index the index of the control to delete (starting from 1). - - """ - - if self._ph is not None: - self.errcode = self._lib.EN_deletecontrol(self._ph, int(index)) - else: - self.errcode = self._lib.ENdeletecontrol(int(index)) - - self.ENgeterror() - - def ENdeletecurve(self, indexCurve): - """ Deletes a data curve from a project. - - - ENdeletecurve(indexCurve) - - Parameters: - indexCurve The ID name of the curve to be added. - - """ - - if self._ph is not None: - self.errcode = self._lib.EN_deletecurve(self._ph, int(indexCurve)) - else: - self.errcode = self._lib.ENdeletecurve(int(indexCurve)) - - self.ENgeterror() - - def ENdeletedemand(self, nodeIndex, demandIndex): - """ Deletes a demand from a junction node. - - ENdeletedemand(nodeIndex, demandInde) - - Parameters: - nodeIndex the index of a node (starting from 1). - demandIndex the position of the demand in the node's demands list (starting from 1). - - """ - - if self._ph is not None: - self.errcode = self._lib.EN_deletedemand(self._ph, int(nodeIndex), demandIndex) - else: - self.errcode = self._lib.ENdeletedemand(int(nodeIndex), demandIndex) - - self.ENgeterror() - - def ENdeletelink(self, indexLink, condition): - """ Deletes a link from the project. - - ENdeletelink(indexLink, condition) - - Parameters: - indexLink the index of the link to be deleted. - condition The action taken if any control contains the link. - - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___links.html - """ - - if self._ph is not None: - self.errcode = self._lib.EN_deletelink(self._ph, int(indexLink), condition) - else: - self.errcode = self._lib.ENdeletelink(int(indexLink), condition) - - self.ENgeterror() - - def ENdeletenode(self, indexNode, condition): - """ Deletes a node from a project. - - ENdeletenode(indexNode, condition) - - Parameters: - indexNode the index of the node to be deleted. - condition the action taken if any control contains the node and its links. - - See also EN_NodeProperty, NodeType - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___nodes.html - """ - - if self._ph is not None: - self.errcode = self._lib.EN_deletenode(self._ph, int(indexNode), condition) - else: - self.errcode = self._lib.ENdeletenode(int(indexNode), condition) - - self.ENgeterror() - - def ENdeletepattern(self, indexPat): - """ Deletes a time pattern from a project. - - - ENdeletepattern(indexPat) - - Parameters: - indexPat the time pattern's index (starting from 1). - - """ - - if self._ph is not None: - self.errcode = self._lib.EN_deletepattern(self._ph, int(indexPat)) - else: - self.errcode = self._lib.ENdeletepattern(int(indexPat)) - - self.ENgeterror() - - def ENdeleteproject(self): - """ Deletes an EPANET project. - *** EN_deleteproject should be called after all network analysis has been completed. *** - ENdeleteproject() - - Parameters: - ph an EPANET project handle which is returned as NULL. - - """ - - if self._ph is not None: - self.errcode = self._lib.EN_deleteproject(self._ph) - - self.ENgeterror() - return - - def ENdeleterule(self, index): - """ Deletes an existing rule-based control. - - - ENdeleterule(index) - - Parameters: - index the index of the rule to be deleted (starting from 1). - - """ - - if self._ph is not None: - self.errcode = self._lib.EN_deleterule(self._ph, int(index)) - else: - self.errcode = self._lib.ENdeleterule(int(index)) - - self.ENgeterror() - - def ENgetaveragepatternvalue(self, index): - """ Retrieves the average of all pattern factors in a time pattern. - - - ENgetaveragepatternvalue(index) - - Parameters: - index a time pattern index (starting from 1). - - Returns: - value The average of all of the time pattern's factors. - """ - - if self._ph is not None: - value = c_double() - self.errcode = self._lib.EN_getaveragepatternvalue(self._ph, int(index), byref(value)) - else: - value = c_float() - self.errcode = self._lib.ENgetaveragepatternvalue(int(index), byref(value)) - - self.ENgeterror() - return value.value - - def ENgetbasedemand(self, index, numdemands): - """ Gets the base demand for one of a node's demand categories. - EPANET 20100 - - ENgetbasedemand(index, numdemands) - - Parameters: - index a node's index (starting from 1). - numdemands the index of a demand category for the node (starting from 1). - - Returns: - value the category's base demand. - """ - - if self._ph is not None: - bDem = c_double() - self.errcode = self._lib.EN_getbasedemand(self._ph, int(index), numdemands, byref(bDem)) - else: - bDem = c_float() - self.errcode = self._lib.ENgetbasedemand(int(index), numdemands, byref(bDem)) - - self.ENgeterror() - return bDem.value - - def ENgetcomment(self, object_, index): - """ Retrieves the comment of a specific index of a type object. - - - ENgetcomment(object, index, comment) - - Parameters: - object_ a type of object (either EN_NODE, EN_LINK, EN_TIMEPAT or EN_CURVE) - e.g, self.ToolkitConstants.EN_NODE - index object's index (starting from 1). - - Returns: - out_comment the comment string assigned to the object. - """ - out_comment = create_string_buffer(80) - - if self._ph is not None: - self.errcode = self._lib.EN_getcomment(self._ph, object_, int(index), byref(out_comment)) - else: - self.errcode = self._lib.ENgetcomment(object_, int(index), byref(out_comment)) - - self.ENgeterror() - return out_comment.value.decode() - - def ENgetcontrol(self, cindex): - """ Retrieves the properties of a simple control. - - ENgetcontrol(cindex) - - Parameters: - cindex the control's index (starting from 1). - - Returns: - ctype the type of control (see ControlTypes). - lindex the index of the link being controlled. - setting the control setting applied to the link. - nindex the index of the node used to trigger the control (0 for EN_TIMER and EN_TIMEOFDAY controls). - level the action level (tank level, junction pressure, or time in seconds) that triggers the control. - """ - ctype = c_int() - lindex = c_int() - nindex = c_int() - - if self._ph is not None: - setting = c_double() - level = c_double() - self.errcode = self._lib.EN_getcontrol(self._ph, int(cindex), byref(ctype), byref(lindex), - byref(setting), byref(nindex), byref(level)) - else: - setting = c_float() - level = c_float() - self.errcode = self._lib.ENgetcontrol(int(cindex), byref(ctype), byref(lindex), - byref(setting), byref(nindex), byref(level)) - - self.ENgeterror() - return [ctype.value, lindex.value, setting.value, nindex.value, level.value] - - def ENgetcoord(self, index): - """ Gets the (x,y) coordinates of a node. - - - ENgetcoord(index) - - Parameters: - index a node index (starting from 1). - - Returns: - x the node's X-coordinate value. - y the node's Y-coordinate value. - """ - x = c_double() - y = c_double() - - if self._ph is not None: - self.errcode = self._lib.EN_getcoord(self._ph, int(index), byref(x), byref(y)) - else: - self.errcode = self._lib.ENgetcoord(int(index), byref(x), byref(y)) - - self.ENgeterror() - return [x.value, y.value] - - def ENgetcount(self, countcode): - """ Retrieves the number of objects of a given type in a project. - - ENgetcount(countcode) - - Parameters: - countcode number of objects of the specified type - - Returns: - count number of objects of the specified type - """ - count = c_int() - - if self._ph is not None: - self.errcode = self._lib.EN_getcount(self._ph, countcode, byref(count)) - else: - self.errcode = self._lib.ENgetcount(countcode, byref(count)) - - self.ENgeterror() - return count.value - - def ENgetcurve(self, index): - """ Retrieves all of a curve's data. - - ENgetcurve(index) - - Parameters: - index a curve's index (starting from 1). - - out_id the curve's ID name - nPoints the number of data points on the curve. - xValues the curve's x-values. - yValues the curve's y-values. - - See also ENgetcurvevalue - """ - out_id = create_string_buffer(self.EN_MAXID) - nPoints = c_int() - if self._ph is not None: - xValues = (c_double * self.ENgetcurvelen(index))() - yValues = (c_double * self.ENgetcurvelen(index))() - self.errcode = self._lib.EN_getcurve(self._ph, index, byref(out_id), byref(nPoints), - byref(xValues), byref(yValues)) - else: - xValues = (c_float * self.ENgetcurvelen(index))() - yValues = (c_float * self.ENgetcurvelen(index))() - self.errcode = self._lib.ENgetcurve(index, byref(out_id), byref(nPoints), - byref(xValues), byref(yValues)) - - self.ENgeterror() - curve_attr = {} - curve_attr['id'] = out_id.value.decode() - curve_attr['nPoints'] = nPoints.value - curve_attr['x'] = [] - curve_attr['y'] = [] - for i in range(len(xValues)): - curve_attr['x'].append(xValues[i]) - curve_attr['y'].append(yValues[i]) - return curve_attr - - def ENgetcurveid(self, index): - """ Retrieves the ID name of a curve given its index. - - - ENgetcurveid(index) - - Parameters: - index a curve's index (starting from 1). - - Returns: - Id the curve's ID name - - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___curves.html - """ - Id = create_string_buffer(self.EN_MAXID) - - if self._ph is not None: - self.errcode = self._lib.EN_getcurveid(self._ph, int(index), byref(Id)) - else: - self.errcode = self._lib.ENgetcurveid(int(index), byref(Id)) - - self.ENgeterror() - return Id.value.decode() - - def ENgetcurveindex(self, Id): - """ Retrieves the index of a curve given its ID name. - - - ENgetcurveindex(Id) - - Parameters: - Id the ID name of a curve. - - Returns: - index The curve's index (starting from 1). - """ - index = c_int() - - if self._ph is not None: - self.errcode = self._lib.EN_getcurveindex(self._ph, Id.encode("utf-8"), byref(index)) - else: - self.errcode = self._lib.ENgetcurveindex(Id.encode("utf-8"), byref(index)) - - self.ENgeterror() - return index.value - - def ENgetcurvelen(self, index): - """ Retrieves the number of points in a curve. - - - ENgetcurvelen(index) - - Parameters: - index a curve's index (starting from 1). - - Returns: - len The number of data points assigned to the curve. - """ - length = c_int() - - if self._ph is not None: - self.errcode = self._lib.EN_getcurvelen(self._ph, int(index), byref(length)) - else: - self.errcode = self._lib.ENgetcurvelen(int(index), byref(length)) - - self.ENgeterror() - return length.value - - def ENgetcurvetype(self, index): - """ Retrieves a curve's type. - - - ENgetcurvetype(index) - - Parameters: - index a curve's index (starting from 1). - - Returns: - type_ The curve's type (see EN_CurveType). - """ - type_ = c_int() - - if self._ph is not None: - self.errcode = self._lib.EN_getcurvetype(self._ph, int(index), byref(type_)) - else: - self.errcode = self._lib.ENgetcurvetype(int(index), byref(type_)) - - self.ENgeterror() - return type_.value - - def ENsetcurvetype(self, index, type): - """ Allow API clients to set a curve's type (e.g., EN_PUMP_CURVE, EN_VOLUME_CURVE, etc.). - Input: index = data curve index - type = type of data curve (see EN_CurveType) - Returns: error code - Purpose: sets the type assigned to a data curve""" - index = c_int(index) - if self._ph is not None: - self.errcode = self._lib.EN_setcurvetype(self._ph, index, type) - else: - self.errcode = self._lib.ENsetcurvetype(index, type) - self.ENgeterror() - return self.errcode - - def ENsetvertex(self, index, vertex, x, y): - """ Input: index = link index - vertex = index of a link vertex point - x = vertex point's X-coordinate - y = vertex point's Y-coordinate - Returns: error code - Purpose: sets the coordinates of a vertex point in a link""" - index = c_int(index) - vertex = c_int(vertex) - - if self._ph is not None: - x = c_double(x) - y = c_double(y) - self.errcode = self._lib.EN_setvertex(self._ph, index, vertex, x, y) - else: - x = c_double(x) - y = c_double(y) - self.errcode = self._lib.ENsetvertex(index, vertex, x, y) - self.ENgeterror() - return self.errcode - - def ENtimetonextevent(self): - """get the time to next event, and give a reason for the time step truncation""" - eventType = c_int() #pointer in C - #duration = c_double() #long pointer in C - elementIndex = c_int() #pointer in C - - if self._ph is not None: - duration = c_double() #not checked - self.errcode = self._lib.EN_timetonextevent(self._ph, byref(eventType), byref(duration), byref(elementIndex)) - else: - duration = c_long() - self.errcode = self._lib.ENtimetonextevent(byref(eventType), byref(duration), byref(elementIndex)) - self.ENgeterror() - return eventType.value,duration.value,elementIndex.value - - def ENgetcontrolenabled(self, index): - index = c_int(index) - enabled = c_int() - if self._ph is not None: - self.errcode = self._lib.EN_getcontrolenabled(self._ph, index, byref(enabled)) - else: - self.errcode = self._lib.ENgetcontrolenabled(index, byref(enabled)) - self.ENgeterror() - return enabled.value - - def ENsetcontrolenabled(self, index, enabled): - - index = c_int(index) - enabled = c_int(enabled) - if self._ph is not None: - self.errcode = self._lib.EN_setcontrolenabled(self._ph, index, enabled) - else: - self.errcode = self._lib.ENsetcontrolenabled(index, enabled) - self.ENgeterror() - return self.errcode - - def ENgetruleenabled(self, index): - - index = c_int(index) - enabled = c_int() - if self._ph is not None: - self.errcode = self._lib.EN_getruleenabled(self._ph, index, byref(enabled)) - else: - self.errcode = self._lib.ENgetruleenabled(index, byref(enabled)) - self.ENgeterror() - return enabled.value - def ENsetruleenabled(self, index, enabled): - - index = c_int(index) - enabled = c_int(enabled) - if self._ph is not None: - self.errcode = self._lib.EN_setruleenabled(self._ph, index, enabled) - else: - self.errcode = self._lib.ENsetruleenabled(index, enabled) - self.ENgeterror() - return self.errcode - - def ENopenX(self, inpFile, rptFile, outFile): - """Input: inpFile = name of input file - rptFile = name of report file - outFile = name of binary output file - Output: none - Returns: error code - Purpose: reads an EPANET input file with errors allowed.""" - - self.inpFile = bytes(inpFile, 'utf-8') - self.rptFile = bytes(rptFile, 'utf-8') - self.outFile = bytes(outFile, 'utf-8') - if self._ph is not None: - self.errcode = self._lib.EN_openX(self._ph, self.inpFile, self.rptFile, self.outFile) - else: - self.errcode = self._lib.ENopenX( self.inpFile, self.rptFile, self.outFile) - self.ENgeterror() - def ENgetlinkvalues(self, property): - """ - Input: property = link property code (see EN_LinkProperty) - Output: values = array of link property values - Returns: error code - Purpose: retrieves property values for all links - """ - - EN_LINKCOUNT = 2 - num_links = self.ENgetcount(EN_LINKCOUNT) - - property = c_int(property) - if self._ph is not None: - values_array = (c_double * num_links)() - self.errcode = self._lib.EN_getlinkvalues(self._ph, property, values_array) - else: - values_array = (c_float * num_links)() - self.errcode = self._lib.ENgetlinkvalues(property, values_array) - self.ENgeterror() - return list(values_array) - - def ENloadpatternfile(self, filename, id): - """ Input: filename = name of the file containing pattern data - id = ID for the new pattern - Purpose: loads time patterns from a file into a project under a specific pattern ID""" - self.patternfile = bytes(filename, 'utf-8') - if self._ph is not None: - self.errcode = self._lib.EN_loadpatternfile(self._ph, self.patternfile, id) - else: - self.errcode = self._lib.ENloadpatternfile(self.patternfile, id) - self.ENgeterror() - - def ENgetcurvevalue(self, index, period): - """ Retrieves the value of a single data point for a curve. - - - ENgetcurvevalue(index, period) - - Parameters: - index a curve's index (starting from 1). - period the index of a point on the curve (starting from 1). - - Returns: - x the point's x-value. - y the point's y-value. - """ - if self._ph is not None: - x = c_double() - y = c_double() - self.errcode = self._lib.EN_getcurvevalue(self._ph, int(index), period, byref(x), byref(y)) - else: - x = c_float() - y = c_float() - self.errcode = self._lib.ENgetcurvevalue(int(index), period, byref(x), byref(y)) - - self.ENgeterror() - return [x.value, y.value] - - def ENgetdemandindex(self, nodeindex, demandName): - """ Retrieves the index of a node's named demand category. - - - ENgetdemandindex(nodeindex, demandName) - - Parameters: - nodeindex the index of a node (starting from 1). - demandName the name of a demand category for the node. - - Returns: - demandIndex the index of the demand being sought. - """ - demandIndex = c_int() - - if self._ph is not None: - self.errcode = self._lib.EN_getdemandindex(self._ph, int(nodeindex), demandName.encode('utf-8'), - byref(demandIndex)) - else: - self.errcode = self._lib.ENgetdemandindex(int(nodeindex), demandName.encode('utf-8'), - byref(demandIndex)) - - self.ENgeterror() - return demandIndex.value - - def ENgetdemandmodel(self): - """ Retrieves the type of demand model in use and its parameters. - - - ENgetdemandmodel() - - Returns: - Type Type of demand model (see EN_DemandModel). - pmin Pressure below which there is no demand. - preq Pressure required to deliver full demand. - pexp Pressure exponent in demand function. - - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___demands.html - """ - Type = c_int() - if self._ph is not None: - pmin = c_double() - preq = c_double() - pexp = c_double() - self.errcode = self._lib.EN_getdemandmodel(self._ph, byref(Type), byref(pmin), - byref(preq), byref(pexp)) - else: - pmin = c_float() - preq = c_float() - pexp = c_float() - self.errcode = self._lib.ENgetdemandmodel(byref(Type), byref(pmin), - byref(preq), byref(pexp)) - - self.ENgeterror() - return [Type.value, pmin.value, preq.value, pexp.value] - - def ENgetdemandname(self, node_index, demand_index): - """ Retrieves the name of a node's demand category. - - - ENgetdemandname(node_index, demand_index) - - Parameters: - node_index a node's index (starting from 1). - demand_index the index of one of the node's demand categories (starting from 1). - - Returns: - demand_name The name of the selected category. - - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___demands.html - """ - - if self._ph is not None: - demand_name = create_string_buffer(100) - self.errcode = self._lib.EN_getdemandname(self._ph, int(node_index), int(demand_index), - byref(demand_name)) - else: - demand_name = create_string_buffer(80) - self.errcode = self._lib.ENgetdemandname(int(node_index), int(demand_index), - byref(demand_name)) - - self.ENgeterror() - return demand_name.value.decode() - - def ENgetdemandpattern(self, index, numdemands): - """ Retrieves the index of a time pattern assigned to one of a node's demand categories. - EPANET 20100 - ENgetdemandpattern(index, numdemands) - - Parameters: - index the node's index (starting from 1). - numdemands the index of a demand category for the node (starting from 1). - - Returns: - value the index of the category's time pattern. - - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___demands.html - """ - patIndex = c_int() - - if self._ph is not None: - self.errcode = self._lib.EN_getdemandpattern(self._ph, int(index), numdemands, byref(patIndex)) - else: - self.errcode = self._lib.ENgetdemandpattern(int(index), numdemands, byref(patIndex)) - - self.ENgeterror() - return patIndex.value - - def ENgetelseaction(self, ruleIndex, actionIndex): - """ Gets the properties of an ELSE action in a rule-based control. - - - ENgetelseaction(ruleIndex, actionIndex) - - Parameters: - ruleIndex the rule's index (starting from 1). - actionIndex the index of the ELSE action to retrieve (starting from 1). - - Returns: - linkIndex the index of the link sin the action. - status the status assigned to the link (see RULESTATUS). - setting the value assigned to the link's setting. - """ - linkIndex = c_int() - status = c_int() - - if self._ph is not None: - setting = c_double() - self.errcode = self._lib.EN_getelseaction(self._ph, int(ruleIndex), int(actionIndex), - byref(linkIndex), - byref(status), byref(setting)) - else: - setting = c_float() - self.errcode = self._lib.ENgetelseaction(int(ruleIndex), int(actionIndex), - byref(linkIndex), - byref(status), byref(setting)) - - self.ENgeterror() - return [linkIndex.value, status.value, setting.value] - - def ENgeterror(self, errcode=0): - """ Returns the text of an error message generated by an error code, as warning. - - ENgeterror() - - """ - if self.errcode or errcode: - if errcode: - self.errcode = errcode - errmssg = create_string_buffer(150) - self._lib.ENgeterror(self.errcode, byref(errmssg), 150) - #return errmssg.value.decode() # for smoother error messages - warnings.warn(errmssg.value.decode()) - - return errmssg.value.decode() - - def ENgetflowunits(self): - """ Retrieves a project's flow units. - - ENgetflowunits() - - Returns: - flowunitsindex a flow units code. - """ - flowunitsindex = c_int() - - if self._ph is not None: - self.errcode = self._lib.EN_getflowunits(self._ph, byref(flowunitsindex)) - else: - self.errcode = self._lib.ENgetflowunits(byref(flowunitsindex)) - - self.ENgeterror() - return flowunitsindex.value - - def ENgetheadcurveindex(self, pumpindex): - """ Retrieves the curve assigned to a pump's head curve. - - - ENgetheadcurveindex(pumpindex) - - Parameters: - pumpindex the index of a pump link (starting from 1). - - Returns: - value the index of the curve assigned to the pump's head curve. - """ - value = c_long() - - if self._ph is not None: - self.errcode = self._lib.EN_getheadcurveindex(self._ph, int(pumpindex), byref(value)) - else: - self.errcode = self._lib.ENgetheadcurveindex(int(pumpindex), byref(value)) - - self.ENgeterror() - return value.value - - def ENgetlinkid(self, index): - """ Gets the ID name of a link given its index. - - ENgetlinkid(index) - - Parameters: - index a link's index (starting from 1). - - Returns: - id The link's ID name. - - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___links.html - """ - nameID = create_string_buffer(self.EN_MAXID) - - if self._ph is not None: - self.errcode = self._lib.EN_getlinkid(self._ph, int(index), byref(nameID)) - else: - self.errcode = self._lib.ENgetlinkid(int(index), byref(nameID)) - - self.ENgeterror() - return nameID.value.decode() - - def ENgetlinkindex(self, Id): - """ Gets the index of a link given its ID name. - - ENgetlinkindex(Id) - - Parameters: - Id a link's ID name. - - Returns: - index the link's index (starting from 1). - """ - index = c_int() - - if self._ph is not None: - self.errcode = self._lib.EN_getlinkindex(self._ph, Id.encode("utf-8"), byref(index)) - else: - self.errcode = self._lib.ENgetlinkindex(Id.encode("utf-8"), byref(index)) - - self.ENgeterror() - return index.value - - def ENgetlinknodes(self, index): - """ Gets the indexes of a link's start- and end-nodes. - - ENgetlinknodes(index) - - Parameters: - index a link's index (starting from 1). - - Returns: - from the index of the link's start node (starting from 1). - to the index of the link's end node (starting from 1). - """ - fromNode = c_int() - toNode = c_int() - - if self._ph is not None: - self.errcode = self._lib.EN_getlinknodes(self._ph, int(index), byref(fromNode), byref(toNode)) - else: - self.errcode = self._lib.ENgetlinknodes(int(index), byref(fromNode), byref(toNode)) - - self.ENgeterror() - return [fromNode.value, toNode.value] - - def ENgetlinktype(self, index): - """ Retrieves a link's type. - - ENgetlinktype(index) - - Parameters: - index a link's index (starting from 1). - - Returns: - typecode the link's type (see LinkType). - """ - code_p = c_int() - - if self._ph is not None: - self.errcode = self._lib.EN_getlinktype(self._ph, int(index), byref(code_p)) - else: - self.errcode = self._lib.ENgetlinktype(int(index), byref(code_p)) - - self.ENgeterror() - if code_p.value != -1: - return code_p.value - else: - return sys.maxsize - - def ENgetlinkvalue(self, index, paramcode): - """ Retrieves a property value for a link. - - ENgetlinkvalue(index, paramcode) - - Parameters: - index a link's index (starting from 1). - paramcode the property to retrieve (see EN_LinkProperty). - - Returns: - value the current value of the property. - - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___links.html - """ - - if self._ph is not None: - fValue = c_double() - self.errcode = self._lib.EN_getlinkvalue(self._ph, int(index), paramcode, byref(fValue)) - else: - fValue = c_float() - self.errcode = self._lib.ENgetlinkvalue(int(index), paramcode, byref(fValue)) - - self.ENgeterror() - return fValue.value - - def ENgetnodeid(self, index): - """ Gets the ID name of a node given its index - - ENgetnodeid(index) - - Parameters: - index nodes index - - Returns: - nameID nodes id - """ - nameID = create_string_buffer(self.EN_MAXID) - - if self._ph is not None: - self.errcode = self._lib.EN_getnodeid(self._ph, int(index), byref(nameID)) - else: - self.errcode = self._lib.ENgetnodeid(int(index), byref(nameID)) - - self.ENgeterror() - return nameID.value.decode() - - def ENgetnodeindex(self, Id): - """ Gets the index of a node given its ID name. - - ENgetnodeindex(Id) - - Parameters: - Id a node ID name. - - Returns: - index the node's index (starting from 1). - """ - index = c_int() - - if self._ph is not None: - self.errcode = self._lib.EN_getnodeindex(self._ph, Id.encode("utf-8"), byref(index)) - else: - self.errcode = self._lib.ENgetnodeindex(Id.encode("utf-8"), byref(index)) - - self.ENgeterror() - return index.value - - def ENgetnodetype(self, index): - """ Retrieves a node's type given its index. - - ENgetnodetype(index) - - Parameters: - index a node's index (starting from 1). - - Returns: - type the node's type (see NodeType). - """ - code_p = c_int() - - if self._ph is not None: - self.errcode = self._lib.EN_getnodetype(self._ph, int(index), byref(code_p)) - else: - self.errcode = self._lib.ENgetnodetype(int(index), byref(code_p)) - - self.ENgeterror() - return code_p.value - - def ENgetnodevalue(self, index, code_p): - """ Retrieves a property value for a node. - - ENgetnodevalue(index, paramcode) - - Parameters: - index a node's index. - paramcode the property to retrieve (see EN_NodeProperty, self.getToolkitConstants). - - Returns: - value the current value of the property. - - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___nodes.html - """ - if self._ph is not None: - fValue = c_double() - self.errcode = self._lib.EN_getnodevalue(self._ph, int(index), code_p, byref(fValue)) - else: - fValue = c_float() - self.errcode = self._lib.ENgetnodevalue(int(index), code_p, byref(fValue)) - - if self.errcode == 240: - self.errcode = 0 - return None - else: - self.ENgeterror() - return fValue.value - - def ENgetnumdemands(self, index): - """ Retrieves the number of demand categories for a junction node. - EPANET 20100 - - ENgetnumdemands(index) - - Parameters: - index the index of a node (starting from 1). - - Returns: - value the number of demand categories assigned to the node. - """ - numDemands = c_int() - - if self._ph is not None: - self.errcode = self._lib.EN_getnumdemands(self._ph, int(index), byref(numDemands)) - else: - self.errcode = self._lib.ENgetnumdemands(int(index), byref(numDemands)) - - self.ENgeterror() - return numDemands.value - - def ENgetoption(self, optioncode): - """ Retrieves the value of an analysis option. - - ENgetoption(optioncode) - - Parameters: - optioncode a type of analysis option (see EN_Option). - - Returns: - value the current value of the option. - """ - if self._ph is not None: - value = c_double() - self.errcode = self._lib.EN_getoption(self._ph, optioncode, byref(value)) - else: - value = c_float() - self.errcode = self._lib.ENgetoption(optioncode, byref(value)) - - self.ENgeterror() - return value.value - - def ENgetpatternid(self, index): - """ Retrieves the ID name of a time pattern given its index. - - ENgetpatternid(index) - - Parameters: - index a time pattern index (starting from 1). - - Returns: - id the time pattern's ID name. - - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___patterns.html - """ - nameID = create_string_buffer(self.EN_MAXID) - - if self._ph is not None: - self.errcode = self._lib.EN_getpatternid(self._ph, int(index), byref(nameID)) - else: - self.errcode = self._lib.ENgetpatternid(int(index), byref(nameID)) - - self.ENgeterror() - return nameID.value.decode() - - def ENgetpatternindex(self, Id): - """ Retrieves the index of a time pattern given its ID name. - - ENgetpatternindex(id) - - Parameters: - id the ID name of a time pattern. - - Returns: - index the time pattern's index (starting from 1). - """ - index = c_int() - - if self._ph is not None: - self.errcode = self._lib.EN_getpatternindex(self._ph, Id.encode("utf-8"), byref(index)) - else: - self.errcode = self._lib.ENgetpatternindex(Id.encode("utf-8"), byref(index)) - - self.ENgeterror() - return index.value - - def ENgetpatternlen(self, index): - """ Retrieves the number of time periods in a time pattern. - - ENgetpatternlen(index) - - Parameters: - index a time pattern index (starting from 1). - - Returns: - leng the number of time periods in the pattern. - """ - leng = c_int() - - if self._ph is not None: - self.errcode = self._lib.EN_getpatternlen(self._ph, int(index), byref(leng)) - else: - self.errcode = self._lib.ENgetpatternlen(int(index), byref(leng)) - - self.ENgeterror() - return leng.value - - def ENgetpatternvalue(self, index, period): - """ Retrieves a time pattern's factor for a given time period. - - ENgetpatternvalue(index, period) - - Parameters: - index a time pattern index (starting from 1). - period a time period in the pattern (starting from 1). - - Returns: - value the pattern factor for the given time period. - """ - if self._ph is not None: - value = c_double() - self.errcode = self._lib.EN_getpatternvalue(self._ph, int(index), period, byref(value)) - else: - value = c_float() - self.errcode = self._lib.ENgetpatternvalue(int(index), period, byref(value)) - - self.ENgeterror() - return value.value - - def ENgetpremise(self, ruleIndex, premiseIndex): - """ Gets the properties of a premise in a rule-based control. - - - ENgetpremise(ruleIndex, premiseIndex) - - Parameters: - ruleIndex the rule's index (starting from 1). - premiseIndex the position of the premise in the rule's list of premises (starting from 1). - - Returns: - logop the premise's logical operator ( IF = 1, AND = 2, OR = 3 ). - object_ the status assigned to the link (see RULEOBJECT). - objIndex the index of the object (e.g. the index of a tank). - variable the object's variable being compared (see RULEVARIABLE). - relop the premise's comparison operator (see RULEOPERATOR). - status the status that the object's status is compared to (see RULESTATUS). - value the value that the object's variable is compared to. - """ - logop = c_int() - object_ = c_int() - objIndex = c_int() - variable = c_int() - relop = c_int() - status = c_int() - - if self._ph is not None: - value = c_double() - self.errcode = self._lib.EN_getpremise(self._ph, int(ruleIndex), int(premiseIndex), byref(logop), - byref(object_), byref(objIndex), - byref(variable), byref(relop), byref(status), - byref(value)) - else: - value = c_float() - self.errcode = self._lib.ENgetpremise(int(ruleIndex), int(premiseIndex), byref(logop), - byref(object_), byref(objIndex), - byref(variable), byref(relop), byref(status), - byref(value)) - - self.ENgeterror() - return [logop.value, object_.value, objIndex.value, variable.value, relop.value, status.value, value.value] - - def ENgetpumptype(self, index): - """ Retrieves the type of head curve used by a pump. - - - ENgetpumptype(pumpindex) - - Parameters: - pumpindex the index of a pump link (starting from 1). - - Returns: - value the type of head curve used by the pump (see EN_PumpType). - """ - code_p = c_int() - - if self._ph is not None: - self.errcode = self._lib.EN_getpumptype(self._ph, int(index), byref(code_p)) - else: - self.errcode = self._lib.ENgetpumptype(int(index), byref(code_p)) - - self.ENgeterror() - return code_p.value - - def ENgetqualinfo(self): - """ Gets information about the type of water quality analysis requested. - - ENgetqualinfo() - - Returns: - qualType type of analysis to run (see self.QualityType). - chemname name of chemical constituent. - chemunits concentration units of the constituent. - tracenode index of the node being traced (if applicable). - """ - qualType = c_int() - chemname = create_string_buffer(self.EN_MAXID) - chemunits = create_string_buffer(self.EN_MAXID) - tracenode = c_int() - - if self._ph is not None: - self.errcode = self._lib.EN_getqualinfo(self._ph, byref(qualType), byref(chemname), - byref(chemunits), byref(tracenode)) - else: - self.errcode = self._lib.ENgetqualinfo(byref(qualType), byref(chemname), - byref(chemunits), byref(tracenode)) - - self.ENgeterror() - return [qualType.value, chemname.value.decode(), chemunits.value.decode(), tracenode.value] - - def ENgetqualtype(self): - """ Retrieves the type of water quality analysis to be run. - - ENgetqualtype() - - Returns: - qualcode type of analysis to run (see self.QualityType). - tracenode index of the node being traced (if applicable). - """ - qualcode = c_int() - tracenode = c_int() - - if self._ph is not None: - self.errcode = self._lib.EN_getqualtype(self._ph, byref(qualcode), byref(tracenode)) - else: - self.errcode = self._lib.ENgetqualtype(byref(qualcode), byref(tracenode)) - - self.ENgeterror() - return [qualcode.value, tracenode.value] - - def ENgetresultindex(self, objecttype, index): - """Retrieves the order in which a node or link appears in an output file. - - - ENgetresultindex(objecttype, index) - - Parameters: - objecttype a type of element (either EN_NODE or EN_LINK). - index the element's current index (starting from 1). - - Returns: - value the order in which the element's results were written to file. - """ - value = c_int() - - if self._ph is not None: - self.errcode = self._lib.EN_getresultindex(self._ph, objecttype, int(index), byref(value)) - else: - self.errcode = self._lib.ENgetresultindex(objecttype, int(index), byref(value)) - - self.ENgeterror() - return value.value - - def ENgetrule(self, index): - """ Retrieves summary information about a rule-based control. - - - ENgetrule(index): - - Parameters: - index the rule's index (starting from 1). - - Returns: - nPremises number of premises in the rule's IF section. - nThenActions number of actions in the rule's THEN section. - nElseActions number of actions in the rule's ELSE section. - priority the rule's priority value. - """ - nPremises = c_int() - nThenActions = c_int() - nElseActions = c_int() - - if self._ph is not None: - priority = c_double() - self.errcode = self._lib.EN_getrule(self._ph, int(index), byref(nPremises), - byref(nThenActions), - byref(nElseActions), byref(priority)) - else: - priority = c_float() - self.errcode = self._lib.ENgetrule(int(index), byref(nPremises), - byref(nThenActions), - byref(nElseActions), byref(priority)) - - self.ENgeterror() - return [nPremises.value, nThenActions.value, nElseActions.value, priority.value] - - def ENgetruleID(self, index): - """ Gets the ID name of a rule-based control given its index. - - - ENgetruleID(index) - - Parameters: - index the rule's index (starting from 1). - - Returns: - id the rule's ID name. - - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___rules.html - """ - nameID = create_string_buffer(self.EN_MAXID) - - if self._ph is not None: - self.errcode = self._lib.EN_getruleID(self._ph, int(index), byref(nameID)) - else: - self.errcode = self._lib.ENgetruleID(int(index), byref(nameID)) - - self.ENgeterror() - return nameID.value.decode() - - def ENgetstatistic(self, code): - """ Retrieves a particular simulation statistic. - EPANET 20100 - - ENgetstatistic(code) - - Parameters: - code the type of statistic to retrieve (see EN_AnalysisStatistic). - - Returns: - value the value of the statistic. - - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___reporting.html - """ - if self._ph is not None: - value = c_double() - self.errcode = self._lib.EN_getstatistic(self._ph, int(code), byref(value)) - else: - value = c_float() - self.errcode = self._lib.ENgetstatistic(int(code), byref(value)) - - self.ENgeterror() - return value.value - - def ENgetthenaction(self, ruleIndex, actionIndex): - """ Gets the properties of a THEN action in a rule-based control. - - - ENgetthenaction(ruleIndex, actionIndex) - - Parameters: - ruleIndex the rule's index (starting from 1). - actionIndex the index of the THEN action to retrieve (starting from 1). - - Returns: - linkIndex the index of the link in the action (starting from 1). - status the status assigned to the link (see RULESTATUS). - setting the value assigned to the link's setting. - """ - linkIndex = c_int() - status = c_int() - if self._ph is not None: - setting = c_double() - self.errcode = self._lib.EN_getthenaction(self._ph, int(ruleIndex), int(actionIndex), - byref(linkIndex), - byref(status), byref(setting)) - else: - setting = c_float() - self.errcode = self._lib.ENgetthenaction(int(ruleIndex), int(actionIndex), - byref(linkIndex), - byref(status), byref(setting)) - - self.ENgeterror() - return [linkIndex.value, status.value, setting.value] - - def ENgettimeparam(self, paramcode): - """ Retrieves the value of a time parameter. - - ENgettimeparam(paramcode) - - Parameters: - paramcode a time parameter code (see EN_TimeParameter). - - Returns: - timevalue the current value of the time parameter (in seconds). - """ - timevalue = c_long() - - if self._ph is not None: - self.errcode = self._lib.EN_gettimeparam(self._ph, c_int(paramcode), byref(timevalue)) - else: - self.errcode = self._lib.ENgettimeparam(c_int(paramcode), byref(timevalue)) - - self.ENgeterror() - return timevalue.value - - def ENgettitle(self): - """ Retrieves the title lines of the project. - - - ENgettitle() - - Returns: - line1 first title line - line2 second title line - line3 third title line - """ - line1 = create_string_buffer(80) - line2 = create_string_buffer(80) - line3 = create_string_buffer(80) - - if self._ph is not None: - self.errcode = self._lib.EN_gettitle(self._ph, byref(line1), byref(line2), - byref(line3)) - else: - self.errcode = self._lib.ENgettitle(byref(line1), byref(line2), - byref(line3)) - - self.ENgeterror() - return [line1.value.decode(), line2.value.decode(), line3.value.decode()] - - def ENgetversion(self): - """ Retrieves the toolkit API version number. - - ENgetversion() - - Returns: - LibEPANET the version of the OWA-EPANET toolkit. - """ - LibEPANET = c_int() - self.errcode = self._lib.EN_getversion(byref(LibEPANET)) - self.ENgeterror() - return LibEPANET.value - - def ENgetvertex(self, index, vertex): - """ Retrieves the coordinate's of a vertex point assigned to a link. - - - ENgetvertex(index, vertex) - - Parameters: - index a link's index (starting from 1). - vertex a vertex point index (starting from 1). - - Returns: - x the vertex's X-coordinate value. - y the vertex's Y-coordinate value. - """ - x = c_double() # need double for EN_ or EN functions. - y = c_double() - if self._ph is not None: - self.errcode = self._lib.EN_getvertex(self._ph, int(index), vertex, byref(x), byref(y)) - else: - self.errcode = self._lib.ENgetvertex(int(index), vertex, byref(x), byref(y)) - - self.ENgeterror() - return [x.value, y.value] - - def ENgetvertexcount(self, index): - """ Retrieves the number of internal vertex points assigned to a link. - - ENgetvertexcount(index) - - Parameters: - index a link's index (starting from 1). - - Returns: - count the number of vertex points that describe the link's shape. - """ - count = c_int() - - if self._ph is not None: - self.errcode = self._lib.EN_getvertexcount(self._ph, int(index), byref(count)) - else: - self.errcode = self._lib.ENgetvertexcount(int(index), byref(count)) - - self.ENgeterror() - return count.value - - def ENinit(self, unitsType, headLossType): - """ Initializes an EPANET project. - - - ENinit(unitsType, headLossType) - - Parameters: - unitsType the choice of flow units (see EN_FlowUnits). - headLossType the choice of head loss formula (see EN_HeadLossType). - - """ - - if self._ph is not None: - self.errcode = self._lib.EN_init(self._ph, "", "", unitsType, headLossType) - else: - self.errcode = self._lib.ENinit("", "", unitsType, headLossType) - - self.ENgeterror() - - def ENinitH(self, flag): - """ Initializes a network prior to running a hydraulic analysis. - - ENinitH(flag) - - Parameters: - flag a 2-digit initialization flag (see EN_InitHydOption). - - See also ENinitH, ENrunH, ENnextH, ENreport, ENsavehydfile - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___hydraulics.html - """ - - if self._ph is not None: - self.errcode = self._lib.EN_initH(self._ph, flag) - else: - self.errcode = self._lib.ENinitH(flag) - - self.ENgeterror() - return - - def ENinitQ(self, saveflag): - """ Initializes a network prior to running a water quality analysis. - - ENinitQ(saveflag) - - Parameters: - saveflag set to EN_SAVE (1) if results are to be saved to the project's - binary output file, or to EN_NOSAVE (0) if not. - - See also ENinitQ, ENrunQ, ENnextQ - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___quality.html - """ - - if self._ph is not None: - self.errcode = self._lib.EN_initQ(self._ph, saveflag) - else: - self.errcode = self._lib.ENinitQ(saveflag) - - self.ENgeterror() - return - - def ENnextH(self): - """ Determines the length of time until the next hydraulic event occurs in an extended period simulation. - - ENnextH() - - Returns: - tstep the time (in seconds) until the next hydraulic event or 0 if at the end of the full simulation duration. - - See also ENrunH - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___hydraulics.html - """ - tstep = c_long() - - if self._ph is not None: - self.errcode = self._lib.EN_nextH(self._ph, byref(tstep)) - else: - self.errcode = self._lib.ENnextH(byref(tstep)) - - self.ENgeterror() - return tstep.value - - def ENnextQ(self): - """ Advances a water quality simulation over the time until the next hydraulic event. - - ENnextQ() - - Returns: - tstep time (in seconds) until the next hydraulic event or 0 if at the end of the full simulation duration. - - See also ENstepQ, ENrunQ - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___quality.html - """ - tstep = c_long() - - if self._ph is not None: - self.errcode = self._lib.EN_nextQ(self._ph, byref(tstep)) - else: - self.errcode = self._lib.ENnextQ(byref(tstep)) - - self.ENgeterror() - return tstep.value - - def ENopen(self, inpname=None, repname=None, binname=None): - """ Opens an EPANET input file & reads in network data. - - ENopen(inpname, repname, binname) - - Parameters: - inpname the name of an existing EPANET-formatted input file. - repname the name of a report file to be created (or "" if not needed). - binname the name of a binary output file to be created (or "" if not needed). - - See also ENclose - """ - if inpname is None: - inpname = self.inpfile - if repname is None: - repname = self.rptfile - if repname is None: - repname = inpname[0:-4] + '.txt' - if binname is None: - binname = self.binfile - if binname is None: - binname = repname[0:-4] + '.bin' - - self.inpfile = bytes(inpname, 'utf-8') - self.rptfile = bytes(repname, 'utf-8') - self.binfile = bytes(binname, 'utf-8') - - if self._ph is not None: - self._lib.EN_createproject(byref(self._ph)) - self.errcode = self._lib.EN_open(self._ph, self.inpfile, self.rptfile, self.binfile) - else: - self.errcode = self._lib.ENopen(self.inpfile, self.rptfile, self.binfile) - - self.ENgeterror() - return - - def ENopenH(self): - """ Opens a project's hydraulic solver. - - ENopenH() - - See also ENinitH, ENrunH, ENnextH, ENcloseH - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___hydraulics.html""" - - if self._ph is not None: - self.errcode = self._lib.EN_openH(self._ph) - else: - self.errcode = self._lib.ENopenH() - - self.ENgeterror() - return - - def ENopenQ(self): - """ Opens a project's water quality solver. - - ENopenQ() - - See also ENopenQ, ENinitQ, ENrunQ, ENnextQ, - ENstepQ, ENcloseQ - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___quality.html - """ - - if self._ph is not None: - self.errcode = self._lib.EN_openQ(self._ph) - else: - self.errcode = self._lib.ENopenQ() - - self.ENgeterror() - return - - def ENreport(self): - """ Writes simulation results in a tabular format to a project's report file. - - ENreport() - - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___reporting.html - """ - - if self._ph is not None: - self.errcode = self._lib.EN_report(self._ph) - else: - self.errcode = self._lib.ENreport() - - self.ENgeterror() - - def ENresetreport(self): - """ Resets a project's report options to their default values. - - ENresetreport() - - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___reporting.html - """ - - if self._ph is not None: - self.errcode = self._lib.EN_resetreport(self._ph) - else: - self.errcode = self._lib.ENresetreport() - - self.ENgeterror() - - def ENrunH(self): - """ Computes a hydraulic solution for the current point in time. - - ENrunH() - - Returns: - t the current simulation time in seconds. - - See also ENinitH, ENrunH, ENnextH, ENcloseH - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___hydraulics.html - """ - t = c_long() - - if self._ph is not None: - self.errcode = self._lib.EN_runH(self._ph, byref(t)) - else: - self.errcode = self._lib.ENrunH(byref(t)) - - self.ENgeterror() - return t.value - - def ENrunQ(self): - """ Makes hydraulic and water quality results at the start of the current - time period available to a project's water quality solver. - - ENrunQ() - - Returns: - t current simulation time in seconds. - See also ENopenQ, ENinitQ, ENrunQ, ENnextQ, ENstepQ - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___quality.html - """ - t = c_long() - - if self._ph is not None: - self.errcode = self._lib.EN_runQ(self._ph, byref(t)) - else: - self.errcode = self._lib.ENrunQ(byref(t)) - - self.ENgeterror() - return t.value - - def ENsaveH(self): - """ Transfers a project's hydraulics results from its temporary hydraulics file to its binary output file, - where results are only reported at uniform reporting intervals. - - ENsaveH() - - """ - - if self._ph is not None: - self.errcode = self._lib.EN_saveH(self._ph) - else: - self.errcode = self._lib.ENsaveH() - - self.ENgeterror() - return - - def ENsavehydfile(self, fname): - """ Saves a project's temporary hydraulics file to disk. - - ENsaveHydfile(fname) - - """ - - if self._ph is not None: - self.errcode = self._lib.EN_savehydfile(self._ph, fname.encode("utf-8")) - else: - self.errcode = self._lib.ENsavehydfile(fname.encode("utf-8")) - - self.ENgeterror() - - def ENsaveinpfile(self, inpname): - """ Saves a project's data to an EPANET-formatted text file. - - ENsaveinpfile(inpname) - - """ - - if self._ph is not None: - self.errcode = self._lib.EN_saveinpfile(self._ph, inpname.encode("utf-8")) - else: - self.errcode = self._lib.ENsaveinpfile(inpname.encode("utf-8")) - - self.ENgeterror() - return - - def ENsetbasedemand(self, index, demandIdx, value): - """ Sets the base demand for one of a node's demand categories. - - - ENsetbasedemand(index, demandIdx, value) - - Parameters: - index a node's index (starting from 1). - demandIdx the index of a demand category for the node (starting from 1). - value the new base demand for the category. - - """ - - if self._ph is not None: - self.errcode = self._lib.EN_setbasedemand(self._ph, int(index), demandIdx, c_double(value)) - else: - self.errcode = self._lib.ENsetbasedemand(int(index), demandIdx, c_float(value)) - - self.ENgeterror() - - def ENsetcomment(self, object_, index, comment): - """ Sets a comment to a specific index - - - ENsetcomment(object, index, comment) - - Parameters: - object_ a type of object (either EN_NODE, EN_LINK, EN_TIMEPAT or EN_CURVE) - e.g, obj.ToolkitConstants.EN_NODE - index objects index (starting from 1). - comment comment to be added. - - """ - - if self._ph is not None: - self.errcode = self._lib.EN_setcomment(self._ph, object_, index, comment.encode('utf-8')) - else: - self.errcode = self._lib.ENsetcomment(object_, index, comment.encode('utf-8')) - - self.ENgeterror() - - def ENsetcontrol(self, cindex, ctype, lindex, setting, nindex, level): - """ Sets the properties of an existing simple control. - - ENsetcontrol(cindex, ctype, lindex, setting, nindex, level) - - Parameters: - cindex the control's index (starting from 1). - ctype the type of control (see ControlTypes). - lindex the index of the link being controlled. - setting the control setting applied to the link. - nindex the index of the node used to trigger the control (0 for EN_TIMER and EN_TIMEOFDAY controls). - level the action level (tank level, junction pressure, or time in seconds) that triggers the control. - - """ - - if self._ph is not None: - self.errcode = self._lib.EN_setcontrol(self._ph, int(cindex), ctype, lindex, c_double(setting), - nindex, c_double(level)) - else: - self.errcode = self._lib.ENsetcontrol(int(cindex), ctype, lindex, c_float(setting), - nindex, c_float(level)) - - self.ENgeterror() - - def ENsetcoord(self, index, x, y): - """ Sets the (x,y) coordinates of a node. - - - ENsetcoord(index, x, y) - - Parameters: - index a node's index. - x the node's X-coordinate value. - y the node's Y-coordinate value. - - """ - - if self._ph is not None: - self.errcode = self._lib.EN_setcoord(self._ph, int(index), c_double(x), c_double(y)) - else: - self.errcode = self._lib.ENsetcoord(int(index), c_double(x), c_double(y)) - - self.ENgeterror() - - def ENsetcurve(self, index, x, y, nfactors): - """ Assigns a set of data points to a curve. - - - ENsetcurve(index, x, y, nfactors) - - Parameters: - index a curve's index (starting from 1). - x an array of new x-values for the curve. - y an array of new y-values for the curve. - nfactors the new number of data points for the curve. - - See also ENsetcurvevalue - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___curves.html - """ - if nfactors == 1: - - if self._ph is not None: - self.errcode = self._lib.EN_setcurve(self._ph, int(index), (c_double * 1)(x), - (c_double * 1)(y), nfactors) - else: - self.errcode = self._lib.ENsetcurve(int(index), (c_float * 1)(x), - (c_float * 1)(y), nfactors) - - - else: - - if self._ph is not None: - self.errcode = self._lib.EN_setcurve(self._ph, int(index), (c_double * nfactors)(*x), - (c_double * nfactors)(*y), nfactors) - else: - self.errcode = self._lib.ENsetcurve(int(index), (c_float * nfactors)(*x), - (c_float * nfactors)(*y), nfactors) - - self.ENgeterror() - - def ENsetcurveid(self, index, Id): - """ Changes the ID name of a data curve given its index. - - - ENsetcurveid(index, Id) - - Parameters: - index a curve's index (starting from 1). - Id an array of new x-values for the curve. - - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___curves.html - """ - - if self._ph is not None: - self.errcode = self._lib.EN_setcurveid(self._ph, int(index), Id.encode('utf-8')) - else: - self.errcode = self._lib.ENsetcurveid(int(index), Id.encode('utf-8')) - - self.ENgeterror() - - def ENsetcurvevalue(self, index, pnt, x, y): - """ Sets the value of a single data point for a curve. - - - ENsetcurvevalue(index, pnt, x, y) - - Parameters: - index a curve's index (starting from 1). - pnt the index of a point on the curve (starting from 1). - x the point's new x-value. - y the point's new y-value. - - """ - - if self._ph is not None: - self.errcode = self._lib.EN_setcurvevalue(self._ph, int(index), pnt, - c_double(x), c_double(y)) - else: - self.errcode = self._lib.ENsetcurvevalue(int(index), pnt, - c_float(x), c_float(y)) - - self.ENgeterror() - - def ENsetdemandmodel(self, Type, pmin, preq, pexp): - """ Sets the Type of demand model to use and its parameters. - - - ENsetdemandmodel(index, demandIdx, value) - - Parameters: - Type Type of demand model (see DEMANDMODEL). - pmin Pressure below which there is no demand. - preq Pressure required to deliver full demand. - pexp Pressure exponent in demand function. - - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___demands.html - """ - - if self._ph is not None: - self.errcode = self._lib.EN_setdemandmodel(self._ph, Type, c_double(pmin), - c_double(preq), c_double(pexp)) - else: - self.errcode = self._lib.ENsetdemandmodel(Type, c_float(pmin), - c_float(preq), c_float(pexp)) - - self.ENgeterror() - - def ENsetdemandname(self, node_index, demand_index, demand_name): - """ Assigns a name to a node's demand category. - - - ENsetdemandname(node_index, demand_index, demand_name) - Parameters: - node_index a node's index (starting from 1). - demand_index the index of one of the node's demand categories (starting from 1). - demand_name the new name assigned to the category. - - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___demands.html - """ - - if self._ph is not None: - self.errcode = self._lib.EN_setdemandname(self._ph, int(node_index), int(demand_index), - demand_name.encode("utf-8")) - else: - self.errcode = self._lib.ENsetdemandname(int(node_index), int(demand_index), - demand_name.encode("utf-8")) - - self.ENgeterror() - return - - def ENsetdemandpattern(self, index, demandIdx, patInd): - """ Sets the index of a time pattern used for one of a node's demand categories. - - ENsetdemandpattern(index, demandIdx, patInd) - - Parameters: - index a node's index (starting from 1). - demandIdx the index of one of the node's demand categories (starting from 1). - patInd the index of the time pattern assigned to the category. - - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___demands.html - """ - - if self._ph is not None: - self.errcode = self._lib.EN_setdemandpattern(self._ph, int(index), int(demandIdx), int(patInd)) - else: - self.errcode = self._lib.ENsetdemandpattern(int(index), int(demandIdx), int(patInd)) - - def ENsetelseaction(self, ruleIndex, actionIndex, linkIndex, status, setting): - """ Sets the properties of an ELSE action in a rule-based control. - - - ENsetelseaction(ruleIndex, actionIndex, linkIndex, status, setting) - - Parameters: - ruleIndex the rule's index (starting from 1). - actionIndex the index of the ELSE action being modified (starting from 1). - linkIndex the index of the link in the action (starting from 1). - status the new status assigned to the link (see RULESTATUS). - setting the new value assigned to the link's setting. - - """ - - if self._ph is not None: - self.errcode = self._lib.EN_setelseaction(self._ph, int(ruleIndex), int(actionIndex), int(linkIndex), - status, - c_double(setting)) - else: - self.errcode = self._lib.ENsetelseaction(int(ruleIndex), int(actionIndex), int(linkIndex), - status, - c_float(setting)) - - self.ENgeterror() - - def ENsetflowunits(self, code): - """ Sets a project's flow units. - - ENsetflowunits(code) - - Parameters: - code a flow units code (see EN_FlowUnits) - - """ - - if self._ph is not None: - self.errcode = self._lib.EN_setflowunits(self._ph, code) - else: - self.errcode = self._lib.ENsetflowunits(code) - - self.ENgeterror() - - def ENsetheadcurveindex(self, pumpindex, curveindex): - """ Assigns a curve to a pump's head curve. - - ENsetheadcurveindex(pumpindex, curveindex) - - Parameters: - pumpindex the index of a pump link (starting from 1). - curveindex the index of a curve to be assigned as the pump's head curve. - - """ - - if self._ph is not None: - self.errcode = self._lib.EN_setheadcurveindex(self._ph, int(pumpindex), int(curveindex)) - else: - self.errcode = self._lib.ENsetheadcurveindex(int(pumpindex), int(curveindex)) - - self.ENgeterror() - - def ENsetjuncdata(self, index, elev, dmnd, dmndpat): - """ Sets a group of properties for a junction node. - - - ENsetjuncdata(index, elev, dmnd, dmndpat) - - Parameters: - index a junction node's index (starting from 1). - elev the value of the junction's elevation. - dmnd the value of the junction's primary base demand. - dmndpat the ID name of the demand's time pattern ("" for no pattern). - - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___nodes.html - """ - - if self._ph is not None: - self.errcode = self._lib.EN_setjuncdata(self._ph, int(index), c_double(elev), c_double(dmnd), - dmndpat.encode("utf-8")) - else: - self.errcode = self._lib.ENsetjuncdata(int(index), c_float(elev), c_float(dmnd), - dmndpat.encode("utf-8")) - - self.ENgeterror() - - def ENsetlinkid(self, index, newid): - """ Changes the ID name of a link. - - - ENsetlinkid(index, newid) - - Parameters: - index a link's index (starting from 1). - newid the new ID name for the link. - - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___links.html - """ - - if self._ph is not None: - self.errcode = self._lib.EN_setlinkid(self._ph, int(index), newid.encode("utf-8")) - else: - self.errcode = self._lib.ENsetlinkid(int(index), newid.encode("utf-8")) - - self.ENgeterror() - - def ENsetlinknodes(self, index, startnode, endnode): - """ Sets the indexes of a link's start- and end-nodes. - - - ENsetlinknodes(index, startnode, endnode) - - Parameters: - index a link's index (starting from 1). - startnode The index of the link's start node (starting from 1). - endnode The index of the link's end node (starting from 1). - """ - - if self._ph is not None: - self.errcode = self._lib.EN_setlinknodes(self._ph, int(index), startnode, endnode) - else: - self.errcode = self._lib.ENsetlinknodes(int(index), startnode, endnode) - - self.ENgeterror() - - def ENsetlinktype(self, indexLink, paramcode, actionCode): - """ Changes a link's type. - - - ENsetlinktype(id, paramcode, actionCode) - - Parameters: - indexLink a link's index (starting from 1). - paramcode the new type to change the link to (see self.LinkType). - actionCode the action taken if any controls contain the link. - - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___links.html - """ - indexLink = c_int(indexLink) - - if self._ph is not None: - self.errcode = self._lib.EN_setlinktype(self._ph, byref(indexLink), paramcode, actionCode) - else: - self.errcode = self._lib.ENsetlinktype(byref(indexLink), paramcode, actionCode) - - self.ENgeterror() - return indexLink.value - - def ENsetlinkvalue(self, index, paramcode, value): - """ Sets a property value for a link. - - ENsetlinkvalue(index, paramcode, value) - - Parameters: - index a link's index. - paramcode the property to set (see EN_LinkProperty). - value the new value for the property. - - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___links.html - """ - - if self._ph is not None: - self.errcode = self._lib.EN_setlinkvalue(self._ph, c_int(index), c_int(paramcode), - c_double(value)) - else: - self.errcode = self._lib.ENsetlinkvalue(c_int(index), c_int(paramcode), - c_float(value)) - - self.ENgeterror() - return self.errcode - - - def ENsetnodeid(self, index, newid): - """ Changes the ID name of a node. - - - ENsetnodeid(index, newid) - - Parameters: - index a node's index (starting from 1). - newid the new ID name for the node. - - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___nodes.html - """ - - if self._ph is not None: - self.errcode = self._lib.EN_setnodeid(self._ph, int(index), newid.encode('utf-8')) - else: - self.errcode = self._lib.ENsetnodeid(int(index), newid.encode('utf-8')) - self.ENgeterror() - - def ENsetnodevalue(self, index, paramcode, value): - """ Sets a property value for a node. - - - ENsetnodevalue(index, paramcode, value) - - Parameters: - index a node's index (starting from 1). - paramcode the property to set (see EN_NodeProperty, self.getToolkitConstants). - value the new value for the property. - - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___nodes.html - """ - - if self._ph is not None: - self.errcode = self._lib.EN_setnodevalue(self._ph, c_int(index), c_int(paramcode), - c_double(value)) - else: - self.errcode = self._lib.ENsetnodevalue(c_int(index), c_int(paramcode), - c_float(value)) - self.ENgeterror() - return - - def ENsetoption(self, optioncode, value): - """ Sets the value for an anlysis option. - - ENsetoption(optioncode, value) - - Parameters: - optioncode a type of analysis option (see EN_Option). - value the new value assigned to the option. - """ - - if self._ph is not None: - self.errcode = self._lib.EN_setoption(self._ph, optioncode, c_double(value)) - else: - self.errcode = self._lib.ENsetoption(optioncode, c_float(value)) - self.ENgeterror() - - def ENsetpattern(self, index, factors, nfactors): - """ Sets the pattern factors for a given time pattern. - - ENsetpattern(index, factors, nfactors) - - Parameters: - index a time pattern index (starting from 1). - factors an array of new pattern factor values. - nfactors the number of factor values supplied. - - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___patterns.html - """ - - if self._ph is not None: - self.errcode = self._lib.EN_setpattern(self._ph, int(index), (c_double * nfactors)(*factors), nfactors) - else: - self.errcode = self._lib.ENsetpattern(int(index), (c_float * nfactors)(*factors), - nfactors) - self.ENgeterror() - - def ENsetpatternid(self, index, Id): - """ Changes the ID name of a time pattern given its index. - - - ENsetpatternid(index, id) - - Parameters: - index a time pattern index (starting from 1). - id the time pattern's new ID name. - - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___patterns.html - """ - - if self._ph is not None: - self.errcode = self._lib.EN_setpatternid(self._ph, int(index), Id.encode('utf-8')) - else: - self.errcode = self._lib.ENsetpatternid(int(index), Id.encode('utf-8')) - self.ENgeterror() - - def ENsetpatternvalue(self, index, period, value): - """ Sets a time pattern's factor for a given time period. - - ENsetpatternvalue(index, period, value) - - Parameters: - index a time pattern index (starting from 1). - period a time period in the pattern (starting from 1). - value the new value of the pattern factor for the given time period. - """ - - if self._ph is not None: - self.errcode = self._lib.EN_setpatternvalue(self._ph, int(index), period, c_double(value)) - else: - self.errcode = self._lib.ENsetpatternvalue(int(index), period, c_float(value)) - self.ENgeterror() - - def ENsetpipedata(self, index, length, diam, rough, mloss): - """ Sets a group of properties for a pipe link. - - - ENsetpipedata(index, length, diam, rough, mloss) - - Parameters: - index the index of a pipe link (starting from 1). - length the pipe's length. - diam the pipe's diameter. - rough the pipe's roughness coefficient. - mloss the pipe's minor loss coefficient. - - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___links.html - """ - - if self._ph is not None: - self.errcode = self._lib.EN_setpipedata(self._ph, int(index), c_double(length), - c_double(diam), c_double(rough), - c_double(mloss)) - else: - self.errcode = self._lib.ENsetpipedata(int(index), c_float(length), - c_float(diam), c_float(rough), - c_float(mloss)) - - self.ENgeterror() - - def ENsetpremise(self, ruleIndex, premiseIndex, logop, object_, objIndex, variable, relop, status, value): - """ Sets the properties of a premise in a rule-based control. - - - ENsetpremise(ruleIndex, premiseIndex, logop, object, objIndex, variable, relop, status, value) - - Parameters: - ruleIndex the rule's index (starting from 1). - premiseIndex the position of the premise in the rule's list of premises. - logop the premise's logical operator ( IF = 1, AND = 2, OR = 3 ). - object_ the type of object the premise refers to (see RULEOBJECT). - objIndex the index of the object (e.g. the index of a tank). - variable the object's variable being compared (see RULEVARIABLE). - relop the premise's comparison operator (see RULEOPERATOR). - status the status that the object's status is compared to (see RULESTATUS). - value the value that the object's variable is compared to. - - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___rules.html - """ - - if self._ph is not None: - self.errcode = self._lib.EN_setpremise(self._ph, int(ruleIndex), int(premiseIndex), logop, object_, - objIndex, variable, relop, status, c_double(value)) - else: - self.errcode = self._lib.ENsetpremise(int(ruleIndex), int(premiseIndex), logop, object_, - objIndex, variable, relop, status, c_float(value)) - - self.ENgeterror() - - def ENsetpremiseindex(self, ruleIndex, premiseIndex, objIndex): - """ Sets the index of an object in a premise of a rule-based control. - - - ENsetpremiseindex(ruleIndex, premiseIndex, objIndex) - - Parameters: - ruleIndex the rule's index (starting from 1). - premiseIndex the premise's index (starting from 1). - objIndex the index of the object (e.g. the index of a tank). - """ - - if self._ph is not None: - self.errcode = self._lib.EN_setpremiseindex(self._ph, int(ruleIndex), int(premiseIndex), objIndex) - else: - self.errcode = self._lib.ENsetpremiseindex(int(ruleIndex), int(premiseIndex), objIndex) - - self.ENgeterror() - - def ENsetpremisestatus(self, ruleIndex, premiseIndex, status): - """ Sets the status being compared to in a premise of a rule-based control. - - - ENsetpremisestatus(ruleIndex, premiseIndex, status) - - Parameters: - ruleIndex the rule's index (starting from 1). - premiseIndex the premise's index (starting from 1). - status the status that the premise's object status is compared to (see RULESTATUS). - """ - - if self._ph is not None: - self.errcode = self._lib.EN_setpremisestatus(self._ph, int(ruleIndex), int(premiseIndex), status) - else: - self.errcode = self._lib.ENsetpremisestatus(int(ruleIndex), int(premiseIndex), status) - - self.ENgeterror() - - def ENsetpremisevalue(self, ruleIndex, premiseIndex, value): - """ Sets the value in a premise of a rule-based control. - - - ENsetpremisevalue(ruleIndex, premiseIndex, value) - - Parameters: - ruleIndex the rule's index (starting from 1). - premiseIndex the premise's index (starting from 1). - value The value that the premise's variable is compared to. - """ - - if self._ph is not None: - self.errcode = self._lib.EN_setpremisevalue(self._ph, int(ruleIndex), premiseIndex, c_double(value)) - else: - self.errcode = self._lib.ENsetpremisevalue(int(ruleIndex), premiseIndex, c_float(value)) - - self.ENgeterror() - - def ENsetqualtype(self, qualcode, chemname, chemunits, tracenode): - """ Sets the type of water quality analysis to run. - - ENsetqualtype(qualcode, chemname, chemunits, tracenode) - - Parameters: - qualcode the type of analysis to run (see EN_QualityType, self.QualityType). - chemname the name of the quality constituent. - chemunits the concentration units of the constituent. - tracenode a type of analysis option (see ENOption). - - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___options.html - """ - - if self._ph is not None: - self.errcode = self._lib.EN_setqualtype(self._ph, qualcode, chemname.encode("utf-8"), - chemunits.encode("utf-8"), tracenode.encode("utf-8")) - else: - self.errcode = self._lib.ENsetqualtype(qualcode, chemname.encode("utf-8"), - chemunits.encode("utf-8"), tracenode.encode("utf-8")) - - self.ENgeterror() - return - - def ENsetreport(self, command): - """ Processes a reporting format command. - - ENsetreport(command) - - Parameters: - command a report formatting command. - - See also ENreport - """ - - if self._ph is not None: - self.errcode = self._lib.EN_setreport(self._ph, command.encode("utf-8")) - else: - self.errcode = self._lib.ENsetreport(command.encode("utf-8")) - - self.ENgeterror() - - def ENsetrulepriority(self, ruleIndex, priority): - """ Sets the priority of a rule-based control. - - - ENsetrulepriority(ruleIndex, priority) - - Parameters: - ruleIndex the rule's index (starting from 1). - priority the priority value assigned to the rule. - """ - - if self._ph is not None: - self.errcode = self._lib.EN_setrulepriority(self._ph, int(ruleIndex), c_double(priority)) - else: - self.errcode = self._lib.ENsetrulepriority(int(ruleIndex), c_float(priority)) - - self.ENgeterror() - - def ENsetstatusreport(self, statuslevel): - """ Sets the level of hydraulic status reporting. - - ENsetstatusreport(statuslevel) - - Parameters: - statuslevel a status reporting level code (see EN_StatusReport). - - - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___reporting.html - """ - - if self._ph is not None: - self.errcode = self._lib.EN_setstatusreport(self._ph, statuslevel) - else: - self.errcode = self._lib.ENsetstatusreport(statuslevel) - - self.ENgeterror() - - def ENsettankdata(self, index, elev, initlvl, minlvl, maxlvl, diam, minvol, volcurve): - """ Sets a group of properties for a tank node. - - - ENsettankdata(index, elev, initlvl, minlvl, maxlvl, diam, minvol, volcurve) - - Parameters: - index a tank node's index (starting from 1). - elev the tank's bottom elevation. - initlvl the initial water level in the tank. - minlvl the minimum water level for the tank. - maxlvl the maximum water level for the tank. - diam the tank's diameter (0 if a volume curve is supplied). - minvol the new value for the property. - volcurve the volume of the tank at its minimum water level. - - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___nodes.html - """ - - if self._ph is not None: - self.errcode = self._lib.EN_settankdata( - self._ph, index, c_double(elev), c_double(initlvl), c_double(minlvl), - c_double(maxlvl), c_double(diam), c_double(minvol), volcurve.encode('utf-8')) - else: - self.errcode = self._lib.ENsettankdata(index, c_float(elev), c_float(initlvl), c_float(minlvl), - c_float(maxlvl), c_float(diam), c_float(minvol), - volcurve.encode('utf-8')) - - self.ENgeterror() - - def ENsetthenaction(self, ruleIndex, actionIndex, linkIndex, status, setting): - """ Sets the properties of a THEN action in a rule-based control. - - - ENsetthenaction(ruleIndex, actionIndex, linkIndex, status, setting) - - Parameters: - ruleIndex the rule's index (starting from 1). - actionIndex the index of the THEN action to retrieve (starting from 1). - linkIndex the index of the link in the action. - status the new status assigned to the link (see EN_RuleStatus).. - setting the new value assigned to the link's setting. - - """ - - if self._ph is not None: - self.errcode = self._lib.EN_setthenaction(self._ph, int(ruleIndex), int(actionIndex), int(linkIndex), - status, - c_double(setting)) - else: - self.errcode = self._lib.ENsetthenaction(int(ruleIndex), int(actionIndex), int(linkIndex), - status, - c_float(setting)) - - self.ENgeterror() - - def ENsettimeparam(self, paramcode, timevalue): - """ Sets the value of a time parameter. - - ENsettimeparam(paramcode, timevalue) - - Parameters: - paramcode a time parameter code (see EN_TimeParameter). - timevalue the new value of the time parameter (in seconds). - """ - self.solve = 0 - - if self._ph is not None: - self.errcode = self._lib.EN_settimeparam(self._ph, c_int(paramcode), c_long(int(timevalue))) - else: - self.errcode = self._lib.ENsettimeparam(c_int(paramcode), c_long(int(timevalue))) - - self.ENgeterror() - return self.errcode - - def ENsettitle(self, line1, line2, line3): - """ Sets the title lines of the project. - - - ENsettitle(line1, line2, line3) - - Parameters: - line1 first title line - line2 second title line - line3 third title line - """ - - if self._ph is not None: - self.errcode = self._lib.EN_settitle(self._ph, line1.encode("utf-8"), line2.encode("utf-8"), - line3.encode("utf-8")) - - else: - self.errcode = self._lib.ENsettitle(line1.encode("utf-8"), line2.encode("utf-8"), - line3.encode("utf-8")) - - self.ENgeterror() - - def ENsetvertices(self, index, x, y, vertex): - """ Assigns a set of internal vertex points to a link. - - - ENsetvertices(index, x, y, vertex) - - Parameters: - index a link's index (starting from 1). - x an array of X-coordinates for the vertex points. - y an array of Y-coordinates for the vertex points. - vertex the number of vertex points being assigned. - """ - - if self._ph is not None: - self.errcode = self._lib.EN_setvertices(self._ph, int(index), (c_double * vertex)(*x), - (c_double * vertex)(*y), vertex) - - else: - self.errcode = self._lib.ENsetvertices(int(index), (c_double * vertex)(*x), - (c_double * vertex)(*y), vertex) - - self.ENgeterror() - - def ENsolveH(self): - """ Runs a complete hydraulic simulation with results for all time periods - written to a temporary hydraulics file. - - ENsolveH() - - See also ENopenH, ENinitH, ENrunH, ENnextH, ENcloseH - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___hydraulics.html - """ - - if self._ph is not None: - self.errcode = self._lib.EN_solveH(self._ph) - - else: - self.errcode = self._lib.ENsolveH() - - self.ENgeterror() - return self.errcode - - def ENsolveQ(self): - """ Runs a complete water quality simulation with results at uniform reporting - intervals written to the project's binary output file. - - ENsolveQ() - - See also ENopenQ, ENinitQ, ENrunQ, ENnextQ, ENcloseQ - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___hydraulics.html""" - - if self._ph is not None: - self.errcode = self._lib.EN_solveQ(self._ph) - - else: - self.errcode = self._lib.ENsolveQ() - - self.ENgeterror() - return - - def ENstepQ(self): - """ Advances a water quality simulation by a single water quality time step. - - ENstepQ() - - Returns: - tleft time left (in seconds) to the overall simulation duration. - - See also ENrunQ, ENnextQ - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___hydraulics.html - """ - tleft = c_long() - - if self._ph is not None: - self.errcode = self._lib.EN_stepQ(self._ph, byref(tleft)) - - else: - self.errcode = self._lib.ENstepQ(byref(tleft)) - - self.ENgeterror() - return tleft.value - - def ENusehydfile(self, hydfname): - """ Uses a previously saved binary hydraulics file to supply a project's hydraulics. - - ENusehydfile(hydfname) - - Parameters: - hydfname the name of the binary file containing hydraulic results. - - OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___hydraulics.html - """ - - if self._ph is not None: - self.errcode = self._lib.EN_usehydfile(self._ph, hydfname.encode("utf-8")) - - else: - self.errcode = self._lib.ENusehydfile(hydfname.encode("utf-8")) - - self.ENgeterror() - return - - def ENwriteline(self, line): - """ Writes a line of text to a project's report file. - - ENwriteline(line) - - Parameters: - line a text string to write. - """ - - if self._ph is not None: - self.errcode = self._lib.EN_writeline(self._ph, line.encode("utf-8")) - - else: - self.errcode = self._lib.ENwriteline(line.encode("utf-8")) - - self.ENgeterror() - -class epanetmsxapi: - - """example msx = epanetmsxapi()""" - - def __init__(self, msxfile='', loadlib=True, ignore_msxfile=False, customMSXlib=None, display_msg=True, - msxrealfile=''): - self.display_msg = display_msg - self.customMSXlib = customMSXlib - if customMSXlib is not None: - self.MSXLibEPANET = customMSXlib - loadlib = False - self.msx_lib = cdll.LoadLibrary(self.MSXLibEPANET) - self.MSXLibEPANETPath = os.path.dirname(self.MSXLibEPANET) - self.msx_error = self.msx_lib.MSXgeterror - self.msx_error.argtypes = [c_int, c_char_p, c_int] - if loadlib: - ops = platform.system().lower() - if ops in ["windows"]: - self.MSXLibEPANET = os.path.join(epyt_root, os.path.join("libraries", "win", "epanetmsx.dll")) - elif ops in ["darwin"]: - self.MSXLibEPANET = os.path.join(epyt_root, os.path.join("libraries", "mac", "epanetmsx.dylib")) - else: - self.MSXLibEPANET = os.path.join(epyt_root, os.path.join("libraries", "glnx", "epanetmsx.so")) - - self.msx_lib = cdll.LoadLibrary(self.MSXLibEPANET) - self.MSXLibEPANETPath = os.path.dirname(self.MSXLibEPANET) - - self.msx_error = self.msx_lib.MSXgeterror - self.msx_error.argtypes = [c_int, c_char_p, c_int] - - if not ignore_msxfile: - self.MSXopen(msxfile, msxrealfile) - - def MSXopen(self, msxfile, msxrealfile): - """ - Open MSX file - filename - Arsenite.msx or use full path - - Example: - msx.MSXopen(filename) - msx.MSXopen(Arsenite.msx) - """ - if not os.path.exists(msxfile): - raise FileNotFoundError(f"File not found: ") - - if self.display_msg: - msxname = os.path.basename(msxrealfile) - if self.customMSXlib is None: - print(f"EPANET-MSX version {__msxversion__} loaded.") - - self.errcode = self.msx_lib.MSXopen(c_char_p(msxfile.encode('utf-8'))) - if self.errcode != 0: - self.MSXerror(self.errcode) - # if self.errcode == 520: - # if self.display_msg: - # print(f"MSX file {msxname}.msx loaded successfully.") - if self.errcode == 503: - if self.display_msg: - print("Error 503 may indicate a problem with the MSX file or the MSX library.") - else: - if self.display_msg: - print(f"MSX file {msxname}.msx loaded successfully.") - - def MSXclose(self): - """ Close .msx file - example : msx.MSXclose()""" - self.errcode = self.msx_lib.MSXclose() - if self.errcode != 0: - self.MSXerror(self.errcode) - return self.errcode - - def MSXerror(self, err_code): - """ Function that every other function uses in case of an error """ - errmsg = create_string_buffer(256) - self.msx_error(err_code, errmsg, 256) - print(errmsg.value.decode()) - - def MSXgetindex(self, obj_type, obj_id): - """ Retrieves the number of objects of a specific type - MSXgetcount(obj_type, obj_id) - - Parameters: - obj_type: code type of object being sought and must be one of the following - pre-defined constants: - MSX_SPECIES (for a chemical species) the number 3 - MSX_CONSTANT (for a reaction constant) the number 6 - MSX_PARAMETER (for a reaction parameter) the number 5 - MSX_PATTERN (for a time pattern) the number 7 - - obj_id: string containing the object's ID name - Returns: - The index number (starting from 1) of object of that type with that specific name.""" - obj_type = c_int(obj_type) - # obj_id=c_char_p(obj_id) - index = c_int() - self.errcode = self.msx_lib.MSXgetindex(obj_type, obj_id.encode("utf-8"), byref(index)) - if self.errcode != 0: - Warning(self.MSXerror(self.errcode)) - return index.value - - def MSXgetID(self, obj_type, index, id_len=80): - """ Retrieves the ID name of an object given its internal - index number - msx.MSXgetID(obj_type, index, id_len) - print(msx.MSXgetID(3,1,8)) - - Parameters: - obj_type: type of object being sought and must be on of the - following pre-defined constants: - MSX_SPECIES (for chemical species) - MSX_CONSTANT(for reaction constant) - MSX_PARAMETER(for a reaction parameter) - MSX_PATTERN (for a time pattern) - - index: the sequence number of the object (starting from 1 - as listed in the MSX input file) - - id_len: the maximum number of characters that id can hold - - Returns: - id object's ID name""" - - obj_id = create_string_buffer(id_len + 1) - self.errcode = self.msx_lib.MSXgetID(obj_type, index, obj_id, id_len) - if self.errcode != 0: - Warning(self.MSXerror(self.errcode)) - return obj_id.value.decode() - - def MSXgetIDlen(self, obj_type, index): - """Retrieves the number of characters in the ID name of an MSX - object given its internal index number - msx.MSXgetIDlen(obj_type, index) - print(msx.MSXgetIDlen(3,3)) - Parameters: - obj_type: type of object being sought and must be on of the - following pre-defined constants: - MSX_SPECIES (for chemical species) - MSX_CONSTANT(for reaction constant) - MSX_PARAMETER(for a reaction parameter) - MSX_PATTERN (for a time pattern) - - index: the sequence number of the object (starting from 1 - as listed in the MSX input file) - - Returns : the number of characters in the ID name of MSX object - - """ - len = c_int() - self.errcode = self.msx_lib.MSXgetIDlen(obj_type, index, byref(len)) - if self.errcode: - Warning(self.MSXerror(self.errcode)) - return len.value - - def MSXgetspecies(self, index): - """ Retrieves the attributes of a chemical species given its - internal index number - msx.MSXgetspecies(index) - msx.MSXgetspecies(1) - Parameters: - index : integer -> sequence number of the species - - Returns: - type : is returned with one of the following pre-defined constants: - MSX_BULK (defined as 0) for a bulk water species , or - MSX_WALL (defined as 1) for a pipe wall surface species - units: mass units that were defined for the species in question - atol : the absolute concentration tolerance defined for the species. - rtol : the relative concentration tolerance defined for the species. """ - type = c_int() - units = create_string_buffer(16) - atol = c_double() - rtol = c_double() - - self.errcode = self.msx_lib.MSXgetspecies( - index, byref(type), units, byref(atol), byref(rtol)) - - if type.value == 0: - type = 'BULK' - elif type.value == 1: - type = 'WALL' - - if self.errcode: - Warning(self.MSXerror(self.errcode)) - return type, units.value.decode("utf-8"), atol.value, rtol.value - - def MSXgetcount(self, code): - """ Retrieves the number of objects of a specific type - MSXgetcount(code) - - Parameters: - code type of object being sought and must be one of the following - pre-defined constants: - MSX_SPECIES (for a chemical species) the number 3 - MSX_CONSTANT (for a reaction constant) the number 6 - MSX_PARAMETER (for a reaction parameter) the number 5 - MSX_PATTERN (for a time pattern) the number 7 - Returns: - The count number of object of that type. - """ - count = c_int() - self.errcode = self.msx_lib.MSXgetcount(code, byref(count)) - if self.errcode: - Warning(self.MSXerror(self.errcode)) - return count.value - - def MSXgetconstant(self, index): - """ Retrieves the value of a particular rection constant """ - """msx.MSXgetconstant(index) - msx.MSXgetconstant(1)""" - """" Parameters: - index : integer is the sequence number of the reaction - constant ( starting from 1 ) as it - appeared in the MSX input file - - Returns: value -> the value assigned to the constant. """ - value = c_double() - self.errcode = self.msx_lib.MSXgetconstant(index, byref(value)) - if self.errcode: - Warning(self.MSXerror(self.errcode)) - return value.value - - def MSXgetparameter(self, obj_type, index, param): - """Retrieves the value of a particular reaction parameter for a given - pipe - msx.MSXgetparameter(obj_type, index, param) - msx.MSXgetparameter(1,1,1) - Parameters: - obj_type: is type of object being queried and must be either: - MSX_NODE (defined as 0) for a node or - MSX_LINK(defined as 1) for alink - - index: is the internal sequence number (starting from 1) - assigned to the node or link - - param: the sequence number of the parameter (starting from 1 - as listed in the MSX input file) - - Returns: - value : the value assigned to the parameter for the node or link - of interest. """ - value = c_double() - self.errcode = self.msx_lib.MSXgetparameter(obj_type, index, param, byref(value)) - if self.errcode: - Warning(self.MSXerror(self.errcode)) - return value.value - - def MSXgetpatternlen(self, pattern_index): - """Retrieves the number of time periods within a source time pattern - - MSXgetpatternlen(pattern_index) - - Parameters: - pattern_index: the internal sequence number (starting from 1) - of the pattern as it appears in the MSX input file. - - Returns: - len: the number of time periods (and therefore number of multipliers) - that appear in the pattern.""" - len = c_int() - self.errcode = self.msx_lib.MSXgetpatternlen(pattern_index, byref(len)) - if self.errcode: - Warning(self.MSXerror(self.errcode)) - return len.value - - def MSXgetpatternvalue(self, pattern_index, period): - """ Retrieves the multiplier at a specific time period for a - given source time pattern - msx.MSXgetpatternvalue(pattern_index, period) - msx.MSXgetpatternvalue(1,1) - Parameters: - pattern_index: the internal sequence number(starting from 1) - of the pattern as it appears in the MSX input file - - period: the index of the time period (starting from 1) whose - multiplier is being sought """ - value = c_double() - self.errcode = self.msx_lib.MSXgetpatternvalue(pattern_index, period, byref(value)) - if self.errcode: - Warning(self.MSXerror(self.errcode)) - return value.value - - def MSXgetinitqual(self, obj_type, index, species): - """ Retrieves the intial concetration of a particular chemical species - assigned to a specific node or link of the pipe network - msx.MSXgetinitqual(obj_type, index) - msx.MSXgetinitqual(1,1,1) - Parameters: - - type : type of object being queeried and must be either: - MSX_NODE (defined as 0) for a node or , - MSX_LINK (defined as 1) for a link - - index : the internal sequence number (starting from 1) assigned - to the node or link - - species: the sequence number of the species (starting from 1) - - Returns: - value: the initial concetration of the species at the node or - link of interest.""" - value = c_double() - obj_type = c_int(obj_type) - species = c_int(species) - index = c_int(index) - self.errcode = self.msx_lib.MSXgetinitqual(obj_type, index, species, byref(value)) - if self.errcode: - Warning(self.MSXerror(self.errcode)) - return value.value - - def MSXgetsource(self, node_index, species_index): - """ Retrieves information on any external source of a particular - chemical species assigned to a specific node or link of the pipe - network. - msx.MSXgetsource(node_index, species_index) - msx.MSXgetsource(1,1) - - Parameters: - node_index: the internal sequence number (starting from 1) - assigned to the node of interest. - - species_index: the sequence number of the species of interest - (starting from 1 as listed in MSX input file) - Returns: - - type: the type of external source to be utilized and will be one of - the following predefined constants: - MSX_NOSOURCE (defined as -1) for no source - MSX_CONCEN (defined as 0) for a concetration sourc - MSX_MASS (defined as 1) for a mass booster source - MSX_SETPOINT (defined as 2) for a setpoint source - MSX_FLOWPACE (defined as 3) for a flow paced source - - level: the baseline concentration ( or mass flow rate) of the source) - - pat : the index of the time pattern used to add variability to the - the source's baseline level (and will be 0 if no pattern - was defined for the source) - """ - type = c_int() - level = c_double() - pattern = c_int() - node_index = c_int(node_index) - self.errcode = self.msx_lib.MSXgetsource(node_index, species_index, - byref(type), byref(level), byref(pattern)) - - if type.value == -1: - type = 'NOSOURCE' - elif type.value == 0: - type = 'CONCEN' - elif type.value == 1: - type = 'MASS' - elif type.value == 2: - type = 'SETPOINT' - elif type.value == 3: - type = 'FLOWPACED' - - if self.errcode: - Warning(self.MSXerror(self.errcode)) - - return type, level.value, pattern.value - - def MSXsaveoutfile(self, filename): - """ Saves water quality results computed for each node, link - and reporting time period to a named binary file. - msx.MSXsaveoutfile(filename) - msx.MSXsaveoufile(Arsenite.msx) - - Parameters: - filename: name of the permanent output results file""" - self.errcode = self.msx_lib.MSXsaveoutfile(filename.encode()) - if self.errcode: - Warning(self.MSXerror(self.errcode)) - - def MSXsavemsxfile(self, filename): - """ Saves the data associated with the current MSX project into a new - MSX input file - msx.MSXsavemsxfile(filename) - msx.MSXsavemsxfile(Arsenite.msx) - - Parameters: - filename: name of the file to which data are saved""" - self.errcode = self.msx_lib.MSXsavemsxfile(filename.encode()) - if self.errcode: - Warning(self.MSXerror(self.errcode)) - - def MSXsetconstant(self, index, value): - """ Assigns a new value to a specific reaction constant - msx.MSXsetconstant(index, value) - msx.MSXsetconstant(1,10)""" - """" Parameters - index : integer -> is the sequence number of the reaction - constant ( starting from 1 ) as it appeared in the MSX - input file - - Value: float -> the new value to be assigned to the constant.""" - - value = c_double(value) - self.errcode = self.msx_lib.MSXsetconstant(index, value) - if self.errcode: - Warning(self.MSXerror(self.errcode)) - - def MSXsetparameter(self, obj_type, index, param, value): - """ Assigns a value to a particular reaction parameter for a given pipe - or tank within the pipe network - msx.MSXsetparameter(obj_type, index, param, value) - msx.MSXsetparameter(1,1,1,15) - Parameters: - obj_type: is type of object being queried and must be either: - MSX_NODE (defined as 0) for a node or - MSX_LINK (defined as 1) for a link - - index: is the internal sequence number (starting from 1) - assigned to the node or link - - param: the sequence number of the parameter (starting from 1 - as listed in the MSX input file) - - value: the value to be assigned to the parameter for the node or - link of interest. """ - value = c_double(value) - self.errcode = self.msx_lib.MSXsetparameter(obj_type, index, param, value) - if self.errcode: - Warning(self.MSXerror(self.errcode)) - - def MSXsetinitqual(self, obj_type, index, species, value): - """ Assigns an initial concetration of a particular chemical species - node or link of the pipe network - msx.MSXsetinitqual(obj_type, index, species, value) - msx.MSXsetinitqual(1,1,1,15) - Parameters: - type: type of object being queried and must be either : - MSX_NODE(defined as 0) for a node or - MSX_LINK(defined as 1) for a link - index: integer -> the internal sequence number (starting from 1) - assigned to the node or link - - species: the sequence number of the species (starting from 1 as listed in - MASx input file) - - value: float -> the initial concetration of the species to be applied at the node or link - of interest. - """ - - value = c_double(value) - self.errcode = self.msx_lib.MSXsetinitqual(obj_type, index, species, value) - if self.errcode: - Warning(self.MSXerror(self.errcode)) - - def MSXsetpattern(self, index, factors, nfactors): - """Assigns a new set of multipliers to a given MSX source time pattern - MSXsetpattern(index,factors,nfactors) - - Parameters: - index: the internal sequence number (starting from 1) - of the pattern as it appers in the MSX input file - factors: an array of multiplier values to replace those previously used by - the pattern - nfactors: the number of entries in the multiplier array/ vector factors""" - if isinstance(index, int): - index = c_int(index) - nfactors = c_int(nfactors) - DoubleArray = c_double * len(factors) - mult_array = DoubleArray(*factors) - self.errcode = self.msx_lib.MSXsetpattern(index, mult_array, nfactors) - if self.errcode: - Warning(self.MSXerror(self.errcode)) - - def MSXsetpatternvalue(self, pattern, period, value): - """Assigns a new value to the multiplier for a specific time period - in a given MSX source time pattern. - msx.MSXsetpatternvalue(pattern, period, value) - msx.MSXsetpatternvalue(1,1,10) - Parameters: - pattern: the internal sequence number (starting from 1) of the - pattern as it appears in the MSX input file. - - period: the time period (starting from 1) in the pattern to be replaced - value: the new multiplier value to use for that time period.""" - value = c_double(value) - self.errcode = self.msx_lib.MSXsetpatternvalue(pattern, period, value) - if self.errcode: - Warning(self.MSXerror(self.errcode)) - - def MSXsolveQ(self): - """ Solves for water quality over the entire simulation period - and saves the results to an internal scratch file - msx.MSXsolveQ()""" - self.errcode = self.msx_lib.MSXsolveQ() - if self.errcode: - Warning(self.MSXerror(self.errcode)) - - def MSXsolveH(self): - """ Solves for system hydraulics over the entire simulation period - saving results to an internal scratch file - msx.MSXsolveH() """ - self.errcode = self.msx_lib.MSXsolveH() - if self.errcode: - Warning(self.MSXerror(self.errcode)) - - def MSXaddpattern(self, pattern_id): - """Adds a newm empty MSX source time pattern to an MSX project - MSXaddpattern(pattern_id) - Parameters: - pattern_id: the name of the new pattern """ - self.errcode = self.msx_lib.MSXaddpattern(pattern_id.encode("utf-8")) - if self.errcode: - Warning(self.MSXerror(self.errcode)) - - def MSXusehydfile(self, filename): - - """ Uses hyd file """ - err = self.msx_lib.MSXusehydfile(filename.encode()) - if err: - Warning(self.MSXerror(err)) - - - def MSXstep(self): - """Advances the water quality solution through a single water quality time - step when performing a step-wise simulation - - t, tleft = MSXstep() - Returns: - t : current simulation time at the end of the step(in secconds) - tleft: time left in the simulation (in secconds) - """ - if platform.system().lower() in ["windows"]: - t = c_double() - tleft = c_double() - else: - t = c_double() - tleft = c_long() - self.errcode = self.msx_lib.MSXstep(byref(t), byref(tleft)) - - if self.errcode: - Warning(self.MSXerror(self.errcode)) - - return t.value, tleft.value - - def MSXinit(self, flag): - """Initialize the MSX system before solving for water quality results - in the step-wise fashion - - MSXinit(flag) - - Parameters: - flag: Set the flag to 1 if the water quality results should be saved - to a scratch binary file, or 0 if not - """ - self.errcode = self.msx_lib.MSXinit(flag) - if self.errcode: - Warning(self.MSXerror(self.errcode)) - - def MSXreport(self): - """ Writes water quality simulations results as instructed by - MSX input file to a text file. - msx.MSXreport()""" - self.errcode = self.msx_lib.MSXreport() - if self.errcode: - Warning(self.MSXerror(self.errcode)) - - def MSXgetqual(self, type, index, species): - """Retrieves a chemical species concentration at a given node - or the average concentration along a link at the current sumulation - time step. - - MSXgetqual(type, index, species) - - Parameters: - type: type of object being queried and must be either: - MSX_NODE ( defined as 0) for a node, - MSX_LINK (defined as 1) for a link - index: then internal sequence number (starting from 1) - assigned to the node or link. - species is the sequence number of the species (starting from 1 - as listed in the MSX input file) - - Returns: - The value of the computed concentration of the species at the current - time period. - """ - - value = 0 - value = c_double(value) - self.errcode = self.msx_lib.MSXgetqual(type, index, species, byref(value)) - if self.errcode: - Warning(self.MSXerror(self.errcode)) - return value.value - - def MSXsetsource(self, node, species, type, level, pat): - """"Sets the attributes of an external source of particular chemical - species to specific node of the pipe network - msx.setsource(node, species, type, level, pat) - msx.MSXsetsource(1,1,3,10.565,1) - Parameters: - node: the internal sequence number (starting from1) assigned - to the node of interest. - - species: the sequence number of the species of interest (starting - from 1 as listed in the MSX input file) - - type: the type of external source to be utilized and will be one of - the following predefined constants: - MSX_NOSOURCE (defined as -1) for no source - MSX_CONCEN (defined as 0) for a concetration source - MSX_MASS (defined as 1) for a mass booster source - MSX_SETPOINT (defined as 2) for a setpoint source - MSX_FLOWPACE (defined as 3) for a flow paced source - - level: the baseline concetration (or mass flow rate) of the source - - pat: the index of the time pattern used to add variability to the - source's baseline level ( use 0 if the source has a constant strength) """ - level = c_double(level) - - pat = c_int(pat) - type = c_int(type) - self.errcode = self.msx_lib.MSXsetsource(node, species, type, level, pat) - if self.errcode: - Warning(self.MSXerror(self.errcode)) - - def MSXgeterror(self, err): - """Returns the text for an error message given its error code. - msx.MSXgeterror(err) - msx.MSXgeterror(516) - Parameters: - err: the code number of an error condition generated by EPANET-MSX - - Returns: - errmsg: the text of the error message corresponding to the error code""" - errmsg = create_string_buffer(80) - e = self.msx_lib.MSXgeterror(err, errmsg, 80) - - # if e: - # # Warning(errmsg.value.decode()) - # print(f"{red}EPANET Error: {errmsg.value.decode()}{reset}") - return errmsg.value.decode() diff --git a/epyt/networks/__init__.py b/epyt/networks/__init__.py index e69de29..53eeea6 100644 --- a/epyt/networks/__init__.py +++ b/epyt/networks/__init__.py @@ -0,0 +1,77 @@ +import os +import re +from importlib.resources import files + + +def _collect_files(ext: str): + ext = ext.lower() + root = files(__name__) + + def walk(trav, prefix=""): + for p in trav.iterdir(): + if p.is_dir(): + yield from walk(p, prefix + p.name + "/") + else: + name = p.name + if name.lower().endswith(ext): + stem = name[:-len(ext)] + if "_temp" not in stem: + yield prefix + name + + return sorted(set(walk(root))) + + +def _safe_attr(name: str) -> str: + # make a valid python identifier for attribute access + base = os.path.splitext(os.path.basename(name))[0] + base = re.sub(r"\W+", "_", base) # replace non-word chars + if not base: + base = "file" + if base[0].isdigit(): + base = "_" + base + return base + + +class NetIndex(dict): + """dict + attribute access for network file paths.""" + def __getattr__(self, item): + try: + return self[item] + except KeyError as e: + raise AttributeError(item) from e + + def __repr__(self): + keys = ", ".join(list(self.keys())[:8]) + more = "..." if len(self) > 8 else "" + return f"NetIndex({len(self)} files: {keys}{more})" + + +def inp_files(): + paths = _collect_files(".inp") + m = NetIndex() + + for rel in paths: + # allow nets["Net2.inp"] exact + m[os.path.basename(rel)] = rel + + # allow nets["Net2"] and nets.Net2 + key = os.path.splitext(os.path.basename(rel))[0] + m[key] = rel + + # also safe attribute alias (in case of weird names) + m[_safe_attr(os.path.basename(rel))] = rel + + return m + + +def msx_files(): + paths = _collect_files(".msx") + m = NetIndex() + + for rel in paths: + m[os.path.basename(rel)] = rel + key = os.path.splitext(os.path.basename(rel))[0] + m[key] = rel + m[_safe_attr(os.path.basename(rel))] = rel + + return m diff --git a/epyt/src/epanet_cffi_compat.py b/epyt/src/epanet_cffi_compat.py new file mode 100644 index 0000000..d7bae59 --- /dev/null +++ b/epyt/src/epanet_cffi_compat.py @@ -0,0 +1,374 @@ +# -*- coding: utf-8 -*- +from functools import lru_cache +from threading import RLock +import re +import sys +from cffi import FFI +from pathlib import Path + +ffi = FFI() + +_THIS_DIR = Path(__file__).resolve().parent +_HEADER_BASE_DIRS = [ + _THIS_DIR / "libraries", + _THIS_DIR.parent / "libraries", +] + +_C_VOIDP_NULL = ffi.cast("void *", 0) +_C_CHARP_NULL = ffi.cast("char *", 0) + +_CDEF_LOCK = RLock() +_CDEF_DONE = False + +# --------------------------------------------- +# Dynamic extraction of function prototypes from headers +# --------------------------------------------- +_HEADER_DEFAULTS = [ + base / header + for base in _HEADER_BASE_DIRS + for header in ("epanet2.h", "epanet2_2.h", "epanetmsx.h") +] + +# Preserve stdcall exports on Windows even after stripping DLL decoration macros. +_CALL_CONV_MACROS = [ + r"\bEPANET2_API\b", + r"\bDLLEXPORT\b", + r"\bWINAPI\b", + r"\bAPIENTRY\b", +] + +_MACRO_TOKENS_TO_STRIP = [ + r"\b__cdecl\b", + r"\bDECLSPEC\b", + r"\bEXPORT\b", +] + +_CALL_CONV_KEYWORD = "__stdcall" if sys.platform.startswith("win") else "" + +# Replace typedef-like API tokens with plain C types so cffi.cdef() can parse them. +_TYPE_ALIASES = { + "EN_API_FLOAT_TYPE": "float", +} + +_MANUAL_CDEF_PREFIX = "typedef void *EN_Project;\n" + +# Remove 'extern "C"' blocks safely (brace-only lines too). +_EXTERN_C_RE = re.compile(r'extern\s+"C"\s*\{?|^\s*\}\s*$', re.MULTILINE) + +# Simple comment removers (/* ... */ and // ...) +_BLOCK_COMMENT_RE = re.compile(r"/\*.*?\*/", re.DOTALL) +_LINE_COMMENT_RE = re.compile(r"//.*?$", re.MULTILINE) + +# Preprocessor lines (#define/#include/#if ...) +_PREPROC_RE = re.compile(r"^\s*#.*?$", re.MULTILINE) + +# Function prototype matcher: now supports EN* and MSX* symbols +_FUNC_RE = re.compile( + r""" + (?P + (?:[a-zA-Z_][\w\s\*\(\),\[\]]*?\s+)? # return type + qualifiers/pointers + (?:EN_[A-Za-z0-9_]+|EN[A-Za-z0-9_]+ + |MSX_[A-Za-z0-9_]+|MSX[A-Za-z0-9_]+) # function name + \s*\( # ( + [^;]*? # args + \) # ) + \s*; # ; + ) + """, + re.VERBOSE | re.DOTALL, +) + +def _apply_type_aliases(text: str) -> str: + for token, ctype in _TYPE_ALIASES.items(): + text = re.sub(rf"\b{re.escape(token)}\b", ctype, text) + return text + +def _load_decls_from_header(header_path: str = None) -> str: + # Accept a single header path or use both defaults + paths = [Path(header_path)] if header_path else _HEADER_DEFAULTS + + protos_all = [] + for path in paths: + if not path.exists(): + continue + text = path.read_text(encoding="utf-8", errors="ignore") + + text = _BLOCK_COMMENT_RE.sub("", text) + text = _LINE_COMMENT_RE.sub("", text) + text = _PREPROC_RE.sub("", text) + text = _EXTERN_C_RE.sub("", text) + + for tok in _CALL_CONV_MACROS: + text = re.sub(tok, _CALL_CONV_KEYWORD, text) + + for tok in _MACRO_TOKENS_TO_STRIP: + text = re.sub(tok, "", text) + + text = _apply_type_aliases(text) + + text = re.sub(r"[ \t]+", " ", text) + text = re.sub(r"\s+\n", "\n", text) + + for m in _FUNC_RE.finditer(text): + proto = re.sub(r"\s+", " ", m.group("proto").strip()) + # Ensure a concrete return type (headers often omit 'int' in typedefs/macros) + if re.match(r"^(EN_|EN|MSX_|MSX)[A-Za-z0-9_]*\s*\(", proto): + proto = "int " + proto + protos_all.append(proto) + + # Deduplicate while preserving order + seen, uniq = set(), [] + for p in protos_all: + if p not in seen: + seen.add(p) + uniq.append(p) + + return "\n".join(uniq) + ("\n" if uniq else "") + +_CDEF_DECLS = None + +def _ensure_cdef(header_path: str = None): + global _CDEF_DONE, _CDEF_DECLS + if _CDEF_DONE: + return + with _CDEF_LOCK: + if _CDEF_DONE: + return + + decls = _load_decls_from_header(header_path) + + # Remove any auto-extracted MSXstep prototype (it is wrong for your DLL). + decls = "\n".join( + line for line in decls.splitlines() + if "MSXstep" not in line + ) + ("\n" if decls else "") + + # Add the correct prototype (matches your working ctypes behavior). + if sys.platform.startswith("win"): + msxstep_proto = "int MSXstep(double *t, double *tleft);\n" + else: + msxstep_proto = "int MSXstep(double *t, long *tleft);\n" + + _CDEF_DECLS = _MANUAL_CDEF_PREFIX + msxstep_proto + decls + ffi.cdef(_CDEF_DECLS) + _CDEF_DONE = True + + +# --------------------------------------------- +# Helpers (unchanged) +# --------------------------------------------- +class _Ptr: + __slots__ = ("c_type", "ptr") + def __init__(self, c_type: str): + self.c_type = c_type + self.ptr = ffi.new(f"{c_type} *") + @property + def value(self): + return self.ptr[0] + @value.setter + def value(self, v): + self.ptr[0] = v + +class _Handle: + __slots__ = ("ptr",) + def __init__(self): + self.ptr = ffi.new("void *[1]", [ffi.NULL]) + @property + def value(self): + return self.ptr[0] + @value.setter + def value(self, v): + if isinstance(v, int): + self.ptr[0] = ffi.cast("void *", v) + else: + self.ptr[0] = v + @property + def as_voidp(self): + return self.ptr[0] + +class _CVoidP: + __slots__ = ("ptr",) + def __init__(self, value=None): + if value is None: + value = ffi.NULL + elif isinstance(value, int): + value = ffi.cast("void *", value) + self.ptr = ffi.new("void *[1]", [value]) + @property + def value(self): + return self.ptr[0] + @value.setter + def value(self, v): + if isinstance(v, int): + v = ffi.cast("void *", v) + self.ptr[0] = v + +class _CVoidPType: + __slots__ = () + def __call__(self, value=None): + return _CVoidP(value) + +# Factory to create a mutable void* holder +c_void_p = _CVoidPType() + +class _Buffer: + __slots__ = ("ptr", "n") + def __init__(self, n: int): + n = int(n) + self.n = n + self.ptr = ffi.new(f"char[{n}]") + @property + def value(self) -> bytes: + return ffi.string(self.ptr) + @value.setter + def value(self, b): + if not isinstance(b, (bytes, bytearray)): + b = str(b).encode("utf-8") + else: + b = bytes(b) + n = len(b) + if n >= self.n: + raise ValueError("buffer too small") + ffi.memmove(self.ptr, b, n) + self.ptr[n] = 0 + +class _ArrayFactory: + __slots__ = ("ctype", "n") + def __init__(self, ctype: str, n: int): + self.ctype = ctype + self.n = int(n) + def __call__(self, *vals): + if vals: + if len(vals) == 1 and hasattr(vals[0], "__iter__"): + return ffi.new(f"{self.ctype}[{self.n}]", list(vals[0])) + return ffi.new(f"{self.ctype}[{self.n}]", list(vals)) + return ffi.new(f"{self.ctype}[{self.n}]") + +class _CScalarType: + __slots__ = ("ctype", "pycast") + def __init__(self, ctype: str, pycast): + self.ctype = ctype + self.pycast = pycast + def __call__(self, value=None): + if value is None: + return _Ptr(self.ctype) + return self.pycast(value) + def __mul__(self, n): + return _ArrayFactory(self.ctype, n) + +c_int = _CScalarType("int", int) +c_long = _CScalarType("long", int) +c_float = _CScalarType("float", float) +c_double = _CScalarType("double", float) + +class _CUInt64Type: + __slots__ = () + def __call__(self, value=None): + if value is None: + return _Handle() + return int(value) + +c_uint64 = _CUInt64Type() + +@lru_cache(maxsize=4096) +def _cstr_cached(b: bytes): + return ffi.new("char[]", b) + +def c_char_p(b, *, intern: bool = True): + if b is None: + return _C_CHARP_NULL + if not isinstance(b, (bytes, bytearray)): + b = str(b).encode("utf-8") + else: + b = bytes(b) + if intern: + return _cstr_cached(b) + return ffi.new("char[]", b) + +def void_p_null(): + return _C_VOIDP_NULL + +# ---------------------- function-pointer helpers ------------------------ +def _normalize_funcptr_signature(signature: str) -> str: + s = signature.strip() + if "(" in s and ")" in s and "(*" not in s and s.endswith(")"): + i = s.find("(") + ret = s[:i].strip() + args = s[i:] + s = f"{ret} (* ){args}" + return s + +def funcptr_null(signature: str): + sig = _normalize_funcptr_signature(signature) + return ffi.cast(sig, 0) + +def make_callback(signature: str, pyfunc): + return ffi.callback(signature)(pyfunc) + +def create_string_buffer(n: int): + return _Buffer(n) + +def byref(obj): + if isinstance(obj, (_Ptr, _Buffer)): + return obj.ptr + return obj + +class _LibProxy: + __slots__ = ("_lib", "_cache") + def __init__(self, libpath: str, header_path: str = None): + _ensure_cdef(header_path) + self._lib = ffi.dlopen(libpath, flags=getattr(ffi, "RTLD_NOW", 0)) + self._cache = {} + + def __getattr__(self, name: str): + cache = self._cache + fn = cache.get(name) + if fn is not None: + return fn + + # Try exact symbol first + try: + cfunc = getattr(self._lib, name) + cache[name] = cfunc + return cfunc + except AttributeError: + pass + + # Bridging EN_* <-> EN* and MSX_* <-> MSX* + alt_names = [] + if name.startswith("EN_"): + alt_names.append("EN" + name[3:]) + if name.startswith("EN") and (len(name) > 2 and name[2] != "_"): + alt_names.append("EN_" + name[2:]) + if name.startswith("MSX_"): + alt_names.append("MSX" + name[4:]) + if name.startswith("MSX") and (len(name) > 3 and name[3] != "_"): + alt_names.append("MSX_" + name[3:]) + + for alt in alt_names: + try: + cfunc = getattr(self._lib, alt) + cache[name] = cfunc # cache under the originally requested name + return cfunc + except AttributeError: + continue + + raise AttributeError(name) + +class cdll: + @staticmethod + def LoadLibrary(path: str, *, header_path: str = None): + return _LibProxy(path, header_path=header_path) + +__all__ = [ + "ffi", + "c_int", "c_long", "c_float", "c_double", "c_uint64", + "c_char_p", "void_p_null", "funcptr_null", "make_callback", + "create_string_buffer", "byref", + "cdll", "_load_decls_from_header", "get_cdef_decls", + "c_void_p", +] + +def get_cdef_decls(): + _ensure_cdef() + return _CDEF_DECLS diff --git a/epyt/src/epanetapi.py b/epyt/src/epanetapi.py new file mode 100644 index 0000000..ea8d592 --- /dev/null +++ b/epyt/src/epanetapi.py @@ -0,0 +1,3055 @@ +import os +import sys +import warnings +from functools import partial + +from .epanet_cffi_compat import cdll, byref, create_string_buffer, c_uint64, c_void_p, c_int, c_double, c_float, c_long, \ + c_char_p, funcptr_null + +from pathlib import Path +from epyt import epyt_root + + +def _default_lib_path(): + base = Path(epyt_root) / "libraries" + if sys.platform.startswith("win"): + return base / "win" / "epanet2.dll" + elif sys.platform == "darwin": + return base / "mac" / "libepanet2.dylib" + else: + return base / "glnx" / "libepanet2.so" + + +def _load_library(path_str: str): + lib = _LIB_CACHE.get(path_str) + if lib is None: + # Support compat layers that expose either .LoadLibrary(...) or are callable (dlopen) + loader = getattr(cdll, "LoadLibrary", None) + lib = loader(path_str) if loader else cdll(path_str) + _LIB_CACHE[path_str] = lib + return lib + + +_DEFAULT_LIB_PATH = str(_default_lib_path()) +_LIB_CACHE = {} + + +class epanetapi: + """ + EPANET Toolkit functions - API + """ + + __slots__ = ("_lib", "errcode", "inpfile", "rptfile", "binfile", + "_ph", "LibEPANET", "LibEPANETpath", "solve", "_t_long", + "_openH", "_runH", "_nextH", "_close", "_closeH", "_initH", "_openQ", + "_runQ", "_nextQ", "_closeQ", "_initQ", "_t_int", "_t_double", "_t_float", + "_t_char_p", "_t_void_p") + + EN_MAXID = 32 # Maximum length of ID names + + def __init__(self, version=2.2, ph=False, loadlib=True, customlib=None): + """Load the EPANET library. + + Parameters: + version EPANET version to use (currently 2.2) + """ + self._lib = None + self.errcode = 0 + self.inpfile = None + self.rptfile = None + self.binfile = None + self._ph = None + self.solve = 0 + + # Resolve library path (absolute) + if customlib: + p = Path(customlib) + self.LibEPANET = str((p if p.is_absolute() else (Path.cwd() / p)).resolve()) + loadlib = False + else: + self.LibEPANET = _DEFAULT_LIB_PATH + + self.LibEPANETpath = os.path.dirname(self.LibEPANET) + + if loadlib: + self._lib = _load_library(self.LibEPANET) + + self._t_int = c_int + self._t_double = c_double() + self._t_float = c_float() + self._t_void_p = c_void_p() + self._t_long = c_long() + + self._close = partial(self._lib.EN_close, self._ph) if self._ph is not None else self._lib.ENclose + + self._openH = partial(self._lib.EN_openH, self._ph) if self._ph is not None else self._lib.ENopenH + self._runH = partial(self._lib.EN_runH, self._ph) if self._ph is not None else self._lib.ENrunH + self._nextH = partial(self._lib.EN_nextH, self._ph) if self._ph is not None else self._lib.ENnextH + self._closeH = partial(self._lib.EN_closeH, self._ph) if self._ph is not None else self._lib.ENcloseH + self._initH = partial(self._lib.EN_initH, self._ph) if self._ph is not None else self._lib.ENinitH + + self._openQ = partial(self._lib.EN_openQ, self._ph) if self._ph is not None else self._lib.ENopenQ + self._runQ = partial(self._lib.EN_runQ, self._ph) if self._ph is not None else self._lib.ENrunQ + self._nextQ = partial(self._lib.EN_nextQ, self._ph) if self._ph is not None else self._lib.ENnextQ + self._closeQ = partial(self._lib.EN_closeQ, self._ph) if self._ph is not None else self._lib.ENcloseQ + self._initQ = partial(self._lib.EN_initQ, self._ph) if self._ph is not None else self._lib.ENinitQ + + if float(version) >= 2.2 and ph: + self._ph = c_uint64() + self._ph = self._ph.value + + # Optional lazy accessor; loads on first use if loadlib=False + @property + def lib(self): + if self._lib is None: + self._lib = _load_library(self.LibEPANET) + return self._lib + + def ENepanet(self, inpfile="", rptfile="", binfile=""): + """ Runs a complete EPANET simulation + Parameters: + inpfile Input file to use + rptfile Output file to report to + binfile Results file to generate + """ + self.inpfile = c_char_p(inpfile) + self.rptfile = c_char_p(rptfile) + self.binfile = c_char_p(binfile) + null_msg = funcptr_null("void (*)(char *)") + + self.errcode = self._lib.ENepanet(self.inpfile, self.rptfile, self.binfile, null_msg) + self.ENgeterror() + + def ENaddcontrol(self, conttype, lindex, setting, nindex, level): + """ Adds a new simple control to a project. + + ENaddcontrol(ctype, lindex, setting, nindex, level) + + Parameters: + conttype the type of control to add (see ControlTypes). + lindex the index of a link to control (starting from 1). + setting control setting applied to the link. + nindex index of the node used to control the link (0 for EN_TIMER and EN_TIMEOFDAY controls). + level action level (tank level, junction pressure, or time in seconds) that triggers the control. + + Returns: + cindex index of the new control. + """ + index = c_int() + if self._ph is not None: + self.errcode = self._lib.EN_addcontrol(self._ph, conttype, int(lindex), c_double(setting), nindex, + c_double(level), byref(index)) + else: + self.errcode = self._lib.ENaddcontrol(conttype, int(lindex), c_float(setting), nindex, + c_float(level), byref(index)) + self.ENgeterror() + return index.value + + def ENaddcurve(self, cid): + """ Adds a new data curve to a project. + + + ENaddcurve(cid) + + Parameters: + cid The ID name of the curve to be added. + + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___curves.html + """ + + if self._ph is not None: + self.errcode = self._lib.EN_addcurve(self._ph, cid.encode('utf-8')) + else: + self.errcode = self._lib.ENaddcurve(cid.encode('utf-8')) + + self.ENgeterror() + + def ENadddemand(self, nodeIndex, baseDemand, demandPattern, demandName): + """ Appends a new demand to a junction node demands list. + + ENadddemand(nodeIndex, baseDemand, demandPattern, demandName) + + Parameters: + nodeIndex the index of a node (starting from 1). + baseDemand the demand's base value. + demandPattern the name of a time pattern used by the demand. + demandName the name of the demand's category. + + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___demands.html + """ + + if self._ph is not None: + self.errcode = self._lib.EN_adddemand(self._ph, int(nodeIndex), c_double(baseDemand), + demandPattern.encode("utf-8"), + demandName.encode("utf-8")) + else: + self.errcode = self._lib.ENadddemand(int(nodeIndex), c_float(baseDemand), + demandPattern.encode("utf-8"), + demandName.encode("utf-8")) + + self.ENgeterror() + return + + def ENaddlink(self, linkid, linktype, fromnode, tonode): + """ Adds a new link to a project. + + ENaddlink(linkid, linktype, fromnode, tonode) + + Parameters: + linkid The ID name of the link to be added. + linktype The type of link being added (see EN_LinkType, self.LinkType). + fromnode The ID name of the link's starting node. + tonode The ID name of the link's ending node. + + Returns: + index the index of the newly added link. + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___links.html + """ + index = c_int() + + if self._ph is not None: + self.errcode = self._lib.EN_addlink(self._ph, linkid.encode('utf-8'), linktype, + fromnode.encode('utf-8'), tonode.encode('utf-8'), byref(index)) + else: + self.errcode = self._lib.ENaddlink(linkid.encode('utf-8'), linktype, + fromnode.encode('utf-8'), tonode.encode('utf-8'), byref(index)) + self.ENgeterror() + return index.value + + def ENaddnode(self, nodeid, nodetype): + """ Adds a new node to a project. + + ENaddnode(nodeid, nodetype) + + Parameters: + nodeid the ID name of the node to be added. + nodetype the type of node being added (see EN_NodeType). + + Returns: + index the index of the newly added node. + See also EN_NodeProperty, NodeType + """ + index = c_int() + + if self._ph is not None: + self.errcode = self._lib.EN_addnode(self._ph, nodeid.encode("utf-8"), nodetype, byref(index)) + else: + self.errcode = self._lib.ENaddnode(nodeid.encode("utf-8"), nodetype, byref(index)) + + self.ENgeterror() + return index.value + + def ENaddpattern(self, patid): + """ Adds a new time pattern to a project. + + ENaddpattern(patid) + + Parameters: + patid the ID name of the pattern to add. + + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___patterns.html + """ + + if self._ph is not None: + self.errcode = self._lib.EN_addpattern(self._ph, patid.encode("utf-8")) + else: + self.errcode = self._lib.ENaddpattern(patid.encode("utf-8")) + + self.ENgeterror() + return + + def ENaddrule(self, rule): + """ Adds a new rule-based control to a project. + + + ENaddrule(rule) + + Parameters: + rule text of the rule following the format used in an EPANET input file. + + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___rules.html + """ + + if self._ph is not None: + self.errcode = self._lib.EN_addrule(self._ph, rule.encode('utf-8')) + else: + self.errcode = self._lib.ENaddrule(rule.encode('utf-8')) + + self.ENgeterror() + + def ENclearreport(self): + """ Clears the contents of a project's report file. + + + ENclearreport() + + """ + + if self._ph is not None: + self.errcode = self._lib.EN_clearreport(self._ph) + else: + self.errcode = self._lib.ENclearreport() + + self.ENgeterror() + + def ENclose(self): + """ Closes a project and frees all of its memory. + + ENclose() + + See also ENopen + """ + err = self._close() + self.errcode = err + if err: + self.ENgeterror() + self._ph = None + self._close = self._lib.ENclose + + def ENcloseH(self): + """ Closes the hydraulic solver freeing all of its allocated memory. + + ENcloseH() + + See also ENinitH, ENrunH, ENnextH + """ + err = self._closeH() + self.errcode = err + if err: + self.ENgeterror() + return + + def ENcloseQ(self): + """ Closes the water quality solver, freeing all of its allocated memory. + + ENcloseQ() + + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___quality.html + """ + + if self._ph is not None: + self.errcode = self._lib.EN_closeQ(self._ph) + else: + self.errcode = self._lib.ENcloseQ() + + self.ENgeterror() + return + + def ENcopyreport(self, filename): + """ Copies the current contents of a project's report file to another file. + + + ENcopyreport(filename) + + Parameters: + filename the full path name of the destination file + + """ + + if self._ph is not None: + self.errcode = self._lib.EN_copyreport(self._ph, filename.encode("utf-8")) + else: + self.errcode = self._lib.ENcopyreport(filename.encode("utf-8")) + + self.ENgeterror() + + def ENcreateproject(self): + """ Copies the current contents of a project's report file to another file. + *** ENcreateproject must be called before any other API functions are used. *** + ENcreateproject() + + Parameters: + ph an EPANET project handle that is passed into all other API functions. + + """ + + if self._ph is not None: + self.errcode = self._lib.EN_createproject(byref(self._ph)) + + self.ENgeterror() + return + + def ENdeletecontrol(self, index): + """ Deletes an existing simple control. + + + ENdeletecontrol(index) + + Parameters: + index the index of the control to delete (starting from 1). + + """ + + if self._ph is not None: + self.errcode = self._lib.EN_deletecontrol(self._ph, int(index)) + else: + self.errcode = self._lib.ENdeletecontrol(int(index)) + + self.ENgeterror() + + def ENdeletecurve(self, indexCurve): + """ Deletes a data curve from a project. + + + ENdeletecurve(indexCurve) + + Parameters: + indexCurve The ID name of the curve to be added. + + """ + + if self._ph is not None: + self.errcode = self._lib.EN_deletecurve(self._ph, int(indexCurve)) + else: + self.errcode = self._lib.ENdeletecurve(int(indexCurve)) + + self.ENgeterror() + + def ENdeletedemand(self, nodeIndex, demandIndex): + """ Deletes a demand from a junction node. + + ENdeletedemand(nodeIndex, demandInde) + + Parameters: + nodeIndex the index of a node (starting from 1). + demandIndex the position of the demand in the node's demands list (starting from 1). + + """ + + if self._ph is not None: + self.errcode = self._lib.EN_deletedemand(self._ph, int(nodeIndex), demandIndex) + else: + self.errcode = self._lib.ENdeletedemand(int(nodeIndex), demandIndex) + + self.ENgeterror() + + def ENdeletelink(self, indexLink, condition): + """ Deletes a link from the project. + + ENdeletelink(indexLink, condition) + + Parameters: + indexLink the index of the link to be deleted. + condition The action taken if any control contains the link. + + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___links.html + """ + + if self._ph is not None: + self.errcode = self._lib.EN_deletelink(self._ph, int(indexLink), condition) + else: + self.errcode = self._lib.ENdeletelink(int(indexLink), condition) + + self.ENgeterror() + + def ENdeletenode(self, indexNode, condition): + """ Deletes a node from a project. + + ENdeletenode(indexNode, condition) + + Parameters: + indexNode the index of the node to be deleted. + condition the action taken if any control contains the node and its links. + + See also EN_NodeProperty, NodeType + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___nodes.html + """ + + if self._ph is not None: + self.errcode = self._lib.EN_deletenode(self._ph, int(indexNode), condition) + else: + self.errcode = self._lib.ENdeletenode(int(indexNode), condition) + + self.ENgeterror() + + def ENdeletepattern(self, indexPat): + """ Deletes a time pattern from a project. + + + ENdeletepattern(indexPat) + + Parameters: + indexPat the time pattern's index (starting from 1). + + """ + + if self._ph is not None: + self.errcode = self._lib.EN_deletepattern(self._ph, int(indexPat)) + else: + self.errcode = self._lib.ENdeletepattern(int(indexPat)) + + self.ENgeterror() + + def ENdeleteproject(self): + """ Deletes an EPANET project. + *** EN_deleteproject should be called after all network analysis has been completed. *** + ENdeleteproject() + + Parameters: + ph an EPANET project handle which is returned as NULL. + + """ + + if self._ph is not None: + self.errcode = self._lib.EN_deleteproject(self._ph) + + self.ENgeterror() + return + + def ENdeleterule(self, index): + """ Deletes an existing rule-based control. + + + ENdeleterule(index) + + Parameters: + index the index of the rule to be deleted (starting from 1). + + """ + + if self._ph is not None: + self.errcode = self._lib.EN_deleterule(self._ph, int(index)) + else: + self.errcode = self._lib.ENdeleterule(int(index)) + + self.ENgeterror() + + def ENgetaveragepatternvalue(self, index): + """ Retrieves the average of all pattern factors in a time pattern. + + + ENgetaveragepatternvalue(index) + + Parameters: + index a time pattern index (starting from 1). + + Returns: + value The average of all of the time pattern's factors. + """ + + if self._ph is not None: + value = c_double() + self.errcode = self._lib.EN_getaveragepatternvalue(self._ph, int(index), byref(value)) + else: + value = c_float() + self.errcode = self._lib.ENgetaveragepatternvalue(int(index), byref(value)) + + self.ENgeterror() + return value.value + + def ENgetbasedemand(self, index, numdemands): + """ Gets the base demand for one of a node's demand categories. + EPANET 20100 + + ENgetbasedemand(index, numdemands) + + Parameters: + index a node's index (starting from 1). + numdemands the index of a demand category for the node (starting from 1). + + Returns: + value the category's base demand. + """ + + if self._ph is not None: + bDem = c_double() + self.errcode = self._lib.EN_getbasedemand(self._ph, int(index), numdemands, byref(bDem)) + else: + bDem = c_float() + self.errcode = self._lib.ENgetbasedemand(int(index), numdemands, byref(bDem)) + + self.ENgeterror() + return bDem.value + + def ENgetcomment(self, object_, index): + """ Retrieves the comment of a specific index of a type object. + + + ENgetcomment(object, index, comment) + + Parameters: + object_ a type of object (either EN_NODE, EN_LINK, EN_TIMEPAT or EN_CURVE) + e.g, self.ToolkitConstants.EN_NODE + index object's index (starting from 1). + + Returns: + out_comment the comment string assigned to the object. + """ + out_comment = create_string_buffer(80) + + if self._ph is not None: + self.errcode = self._lib.EN_getcomment(self._ph, object_, int(index), byref(out_comment)) + else: + self.errcode = self._lib.ENgetcomment(object_, int(index), byref(out_comment)) + + self.ENgeterror() + return out_comment.value.decode() + + def ENgetcontrol(self, cindex): + """ Retrieves the properties of a simple control. + + ENgetcontrol(cindex) + + Parameters: + cindex the control's index (starting from 1). + + Returns: + ctype the type of control (see ControlTypes). + lindex the index of the link being controlled. + setting the control setting applied to the link. + nindex the index of the node used to trigger the control (0 for EN_TIMER and EN_TIMEOFDAY controls). + level the action level (tank level, junction pressure, or time in seconds) that triggers the control. + """ + ctype = c_int() + lindex = c_int() + nindex = c_int() + + if self._ph is not None: + setting = c_double() + level = c_double() + self.errcode = self._lib.EN_getcontrol(self._ph, int(cindex), byref(ctype), byref(lindex), + byref(setting), byref(nindex), byref(level)) + else: + setting = c_float() + level = c_float() + self.errcode = self._lib.ENgetcontrol(int(cindex), byref(ctype), byref(lindex), + byref(setting), byref(nindex), byref(level)) + + self.ENgeterror() + return [ctype.value, lindex.value, setting.value, nindex.value, level.value] + + def ENgetcoord(self, index): + """ Gets the (x,y) coordinates of a node. + + + ENgetcoord(index) + + Parameters: + index a node index (starting from 1). + + Returns: + x the node's X-coordinate value. + y the node's Y-coordinate value. + """ + x = c_double() + y = c_double() + + if self._ph is not None: + self.errcode = self._lib.EN_getcoord(self._ph, int(index), byref(x), byref(y)) + else: + self.errcode = self._lib.ENgetcoord(int(index), byref(x), byref(y)) + + self.ENgeterror() + return [x.value, y.value] + + def ENgetcount(self, countcode): + """ Retrieves the number of objects of a given type in a project. + + ENgetcount(countcode) + + Parameters: + countcode number of objects of the specified type + + Returns: + count number of objects of the specified type + """ + count = c_int() + + if self._ph is not None: + self.errcode = self._lib.EN_getcount(self._ph, countcode, byref(count)) + else: + self.errcode = self._lib.ENgetcount(countcode, byref(count)) + + self.ENgeterror() + return count.value + + def ENgetcurve(self, index): + """ Retrieves all of a curve's data. + + ENgetcurve(index) + + Parameters: + index a curve's index (starting from 1). + + out_id the curve's ID name + nPoints the number of data points on the curve. + xValues the curve's x-values. + yValues the curve's y-values. + + See also ENgetcurvevalue + """ + out_id = create_string_buffer(self.EN_MAXID) + nPoints = c_int() + if self._ph is not None: + xValues = (c_double * self.ENgetcurvelen(index))() + yValues = (c_double * self.ENgetcurvelen(index))() + self.errcode = self._lib.EN_getcurve(self._ph, index, byref(out_id), byref(nPoints), + byref(xValues), byref(yValues)) + else: + xValues = (c_float * self.ENgetcurvelen(index))() + yValues = (c_float * self.ENgetcurvelen(index))() + self.errcode = self._lib.ENgetcurve(index, byref(out_id), byref(nPoints), + byref(xValues), byref(yValues)) + + self.ENgeterror() + curve_attr = {} + curve_attr['id'] = out_id.value.decode() + curve_attr['nPoints'] = nPoints.value + curve_attr['x'] = [] + curve_attr['y'] = [] + for i in range(len(xValues)): + curve_attr['x'].append(xValues[i]) + curve_attr['y'].append(yValues[i]) + return curve_attr + + def ENgetcurveid(self, index): + """ Retrieves the ID name of a curve given its index. + + + ENgetcurveid(index) + + Parameters: + index a curve's index (starting from 1). + + Returns: + Id the curve's ID name + + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___curves.html + """ + Id = create_string_buffer(self.EN_MAXID) + + if self._ph is not None: + self.errcode = self._lib.EN_getcurveid(self._ph, int(index), byref(Id)) + else: + self.errcode = self._lib.ENgetcurveid(int(index), byref(Id)) + + self.ENgeterror() + return Id.value.decode() + + def ENgetcurveindex(self, Id): + """ Retrieves the index of a curve given its ID name. + + + ENgetcurveindex(Id) + + Parameters: + Id the ID name of a curve. + + Returns: + index The curve's index (starting from 1). + """ + index = c_int() + + if self._ph is not None: + self.errcode = self._lib.EN_getcurveindex(self._ph, Id.encode("utf-8"), byref(index)) + else: + self.errcode = self._lib.ENgetcurveindex(Id.encode("utf-8"), byref(index)) + + self.ENgeterror() + return index.value + + def ENgetcurvelen(self, index): + """ Retrieves the number of points in a curve. + + + ENgetcurvelen(index) + + Parameters: + index a curve's index (starting from 1). + + Returns: + len The number of data points assigned to the curve. + """ + length = c_int() + + if self._ph is not None: + self.errcode = self._lib.EN_getcurvelen(self._ph, int(index), byref(length)) + else: + self.errcode = self._lib.ENgetcurvelen(int(index), byref(length)) + + self.ENgeterror() + return length.value + + def ENgetcurvetype(self, index): + """ Retrieves a curve's type. + + + ENgetcurvetype(index) + + Parameters: + index a curve's index (starting from 1). + + Returns: + type_ The curve's type (see EN_CurveType). + """ + type_ = c_int() + + if self._ph is not None: + self.errcode = self._lib.EN_getcurvetype(self._ph, int(index), byref(type_)) + else: + self.errcode = self._lib.ENgetcurvetype(int(index), byref(type_)) + + self.ENgeterror() + return type_.value + + def ENsetcurvetype(self, index, type): + """ Allow API clients to set a curve's type (e.g., EN_PUMP_CURVE, EN_VOLUME_CURVE, etc.). + Input: index = data curve index + type = type of data curve (see EN_CurveType) + Returns: error code + Purpose: sets the type assigned to a data curve""" + index = c_int(index) + if self._ph is not None: + self.errcode = self._lib.EN_setcurvetype(self._ph, index, type) + else: + self.errcode = self._lib.ENsetcurvetype(index, type) + self.ENgeterror() + return self.errcode + + def ENsetvertex(self, index, vertex, x, y): + """ Input: index = link index + vertex = index of a link vertex point + x = vertex point's X-coordinate + y = vertex point's Y-coordinate + Returns: error code + Purpose: sets the coordinates of a vertex point in a link""" + index = c_int(index) + vertex = c_int(vertex) + + if self._ph is not None: + x = c_double(x) + y = c_double(y) + self.errcode = self._lib.EN_setvertex(self._ph, index, vertex, x, y) + else: + x = c_double(x) + y = c_double(y) + self.errcode = self._lib.ENsetvertex(index, vertex, x, y) + self.ENgeterror() + return self.errcode + + def ENtimetonextevent(self): + """get the time to next event, and give a reason for the time step truncation""" + eventType = c_int() # pointer in C + # duration = c_double() #long pointer in C + elementIndex = c_int() # pointer in C + + if self._ph is not None: + duration = c_double() # not checked + self.errcode = self._lib.EN_timetonextevent(self._ph, byref(eventType), byref(duration), + byref(elementIndex)) + else: + duration = c_long() + self.errcode = self._lib.ENtimetonextevent(byref(eventType), byref(duration), byref(elementIndex)) + self.ENgeterror() + return eventType.value, duration.value, elementIndex.value + + def ENgetcontrolenabled(self, index): + index = c_int(index) + enabled = c_int() + if self._ph is not None: + self.errcode = self._lib.EN_getcontrolenabled(self._ph, index, byref(enabled)) + else: + self.errcode = self._lib.ENgetcontrolenabled(index, byref(enabled)) + self.ENgeterror() + return enabled.value + + def ENsetcontrolenabled(self, index, enabled): + + index = c_int(index) + enabled = c_int(enabled) + if self._ph is not None: + self.errcode = self._lib.EN_setcontrolenabled(self._ph, index, enabled) + else: + self.errcode = self._lib.ENsetcontrolenabled(index, enabled) + self.ENgeterror() + return self.errcode + + def ENgetruleenabled(self, index): + + index = c_int(index) + enabled = c_int() + if self._ph is not None: + self.errcode = self._lib.EN_getruleenabled(self._ph, index, byref(enabled)) + else: + self.errcode = self._lib.ENgetruleenabled(index, byref(enabled)) + self.ENgeterror() + return enabled.value + + def ENsetruleenabled(self, index, enabled): + + index = c_int(index) + enabled = c_int(enabled) + if self._ph is not None: + self.errcode = self._lib.EN_setruleenabled(self._ph, index, enabled) + else: + self.errcode = self._lib.ENsetruleenabled(index, enabled) + self.ENgeterror() + return self.errcode + + def ENopenX(self, inpFile, rptFile, binFile): + """Input: inpFile = name of input file + rptFile = name of report file + binFile = name of binary output file + Output: none + Returns: error code + Purpose: reads an EPANET input file with errors allowed.""" + + self.inpfile = bytes(inpFile, 'utf-8') + self.rptfile = bytes(rptFile, 'utf-8') + self.binfile = bytes(binFile, 'utf-8') + if self._ph is not None: + self._lib.EN_createproject(byref(self._ph)) + self.errcode = self._lib.EN_openX(self._ph, self.inpfile, self.rptfile, self.binfile) + else: + self.errcode = self._lib.ENopenX(self.inpfile, self.rptfile, self.binfile) + self.ENgeterror() + + def ENgetlinkvalues(self, property): + """ + Input: property = link property code (see EN_LinkProperty) + Output: values = array of link property values + Returns: error code + Purpose: retrieves property values for all links + """ + + EN_LINKCOUNT = 2 + num_links = self.ENgetcount(EN_LINKCOUNT) + + property = c_int(property) + if self._ph is not None: + values_array = (c_double * num_links)() + self.errcode = self._lib.EN_getlinkvalues(self._ph, property, values_array) + else: + values_array = (c_float * num_links)() + self.errcode = self._lib.ENgetlinkvalues(property, values_array) + self.ENgeterror() + return list(values_array) + + def ENloadpatternfile(self, filename, id): + """ Input: filename = name of the file containing pattern data + id = ID for the new pattern + Purpose: loads time patterns from a file into a project under a specific pattern ID""" + self.patternfile = bytes(filename, 'utf-8') + if self._ph is not None: + self.errcode = self._lib.EN_loadpatternfile(self._ph, self.patternfile, id) + else: + self.errcode = self._lib.ENloadpatternfile(self.patternfile, id) + self.ENgeterror() + + def ENgetcurvevalue(self, index, period): + """ Retrieves the value of a single data point for a curve. + + + ENgetcurvevalue(index, period) + + Parameters: + index a curve's index (starting from 1). + period the index of a point on the curve (starting from 1). + + Returns: + x the point's x-value. + y the point's y-value. + """ + if self._ph is not None: + x = c_double() + y = c_double() + self.errcode = self._lib.EN_getcurvevalue(self._ph, int(index), period, byref(x), byref(y)) + else: + x = c_float() + y = c_float() + self.errcode = self._lib.ENgetcurvevalue(int(index), period, byref(x), byref(y)) + + self.ENgeterror() + return [x.value, y.value] + + def ENgetdemandindex(self, nodeindex, demandName): + """ Retrieves the index of a node's named demand category. + + + ENgetdemandindex(nodeindex, demandName) + + Parameters: + nodeindex the index of a node (starting from 1). + demandName the name of a demand category for the node. + + Returns: + demandIndex the index of the demand being sought. + """ + demandIndex = c_int() + + if self._ph is not None: + self.errcode = self._lib.EN_getdemandindex(self._ph, int(nodeindex), demandName.encode('utf-8'), + byref(demandIndex)) + else: + self.errcode = self._lib.ENgetdemandindex(int(nodeindex), demandName.encode('utf-8'), + byref(demandIndex)) + + self.ENgeterror() + return demandIndex.value + + def ENgetdemandmodel(self): + """ Retrieves the type of demand model in use and its parameters. + + + ENgetdemandmodel() + + Returns: + Type Type of demand model (see EN_DemandModel). + pmin Pressure below which there is no demand. + preq Pressure required to deliver full demand. + pexp Pressure exponent in demand function. + + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___demands.html + """ + Type = c_int() + if self._ph is not None: + pmin = c_double() + preq = c_double() + pexp = c_double() + self.errcode = self._lib.EN_getdemandmodel(self._ph, byref(Type), byref(pmin), + byref(preq), byref(pexp)) + else: + pmin = c_float() + preq = c_float() + pexp = c_float() + self.errcode = self._lib.ENgetdemandmodel(byref(Type), byref(pmin), + byref(preq), byref(pexp)) + + self.ENgeterror() + return [Type.value, pmin.value, preq.value, pexp.value] + + def ENgetdemandname(self, node_index, demand_index): + """ Retrieves the name of a node's demand category. + + + ENgetdemandname(node_index, demand_index) + + Parameters: + node_index a node's index (starting from 1). + demand_index the index of one of the node's demand categories (starting from 1). + + Returns: + demand_name The name of the selected category. + + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___demands.html + """ + + if self._ph is not None: + demand_name = create_string_buffer(100) + self.errcode = self._lib.EN_getdemandname(self._ph, int(node_index), int(demand_index), + byref(demand_name)) + else: + demand_name = create_string_buffer(80) + self.errcode = self._lib.ENgetdemandname(int(node_index), int(demand_index), + byref(demand_name)) + + self.ENgeterror() + return demand_name.value.decode() + + def ENgetdemandpattern(self, index, numdemands): + """ Retrieves the index of a time pattern assigned to one of a node's demand categories. + EPANET 20100 + ENgetdemandpattern(index, numdemands) + + Parameters: + index the node's index (starting from 1). + numdemands the index of a demand category for the node (starting from 1). + + Returns: + value the index of the category's time pattern. + + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___demands.html + """ + patIndex = c_int() + + if self._ph is not None: + self.errcode = self._lib.EN_getdemandpattern(self._ph, int(index), numdemands, byref(patIndex)) + else: + self.errcode = self._lib.ENgetdemandpattern(int(index), numdemands, byref(patIndex)) + + self.ENgeterror() + return patIndex.value + + def ENgetelseaction(self, ruleIndex, actionIndex): + """ Gets the properties of an ELSE action in a rule-based control. + + + ENgetelseaction(ruleIndex, actionIndex) + + Parameters: + ruleIndex the rule's index (starting from 1). + actionIndex the index of the ELSE action to retrieve (starting from 1). + + Returns: + linkIndex the index of the link sin the action. + status the status assigned to the link (see RULESTATUS). + setting the value assigned to the link's setting. + """ + linkIndex = c_int() + status = c_int() + + if self._ph is not None: + setting = c_double() + self.errcode = self._lib.EN_getelseaction(self._ph, int(ruleIndex), int(actionIndex), + byref(linkIndex), + byref(status), byref(setting)) + else: + setting = c_float() + self.errcode = self._lib.ENgetelseaction(int(ruleIndex), int(actionIndex), + byref(linkIndex), + byref(status), byref(setting)) + + self.ENgeterror() + return [linkIndex.value, status.value, setting.value] + + def ENgeterror(self, errcode=0): + """ Returns the text of an error message generated by an error code, as warning. + + ENgeterror() + + """ + if self.errcode or errcode: + if errcode: + self.errcode = errcode + errmssg = create_string_buffer(150) + self._lib.ENgeterror(self.errcode, byref(errmssg), 150) + warnings.warn(errmssg.value.decode()) + return errmssg.value.decode() + + def ENgetflowunits(self): + """ Retrieves a project's flow units. + + ENgetflowunits() + + Returns: + flowunitsindex a flow units code. + """ + flowunitsindex = c_int() + + if self._ph is not None: + self.errcode = self._lib.EN_getflowunits(self._ph, byref(flowunitsindex)) + else: + self.errcode = self._lib.ENgetflowunits(byref(flowunitsindex)) + + self.ENgeterror() + return flowunitsindex.value + + def ENgetheadcurveindex(self, pumpindex): + """ Retrieves the curve assigned to a pump's head curve. + + + ENgetheadcurveindex(pumpindex) + + Parameters: + pumpindex the index of a pump link (starting from 1). + + Returns: + value the index of the curve assigned to the pump's head curve. + """ + val = c_int() + + if self._ph is not None: + self.errcode = self._lib.EN_getheadcurveindex(self._ph, c_int(pumpindex), byref(val)) + else: + self.errcode = self._lib.ENgetheadcurveindex(c_int(pumpindex), byref(val)) + + self.ENgeterror() + return val.value + + def ENgetlinkid(self, index): + """ Gets the ID name of a link given its index. + + ENgetlinkid(index) + + Parameters: + index a link's index (starting from 1). + + Returns: + id The link's ID name. + + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___links.html + """ + nameID = create_string_buffer(self.EN_MAXID) + + if self._ph is not None: + self.errcode = self._lib.EN_getlinkid(self._ph, int(index), byref(nameID)) + else: + self.errcode = self._lib.ENgetlinkid(int(index), byref(nameID)) + + self.ENgeterror() + return nameID.value.decode() + + def ENgetlinkindex(self, Id): + """ Gets the index of a link given its ID name. + + ENgetlinkindex(Id) + + Parameters: + Id a link's ID name. + + Returns: + index the link's index (starting from 1). + """ + index = c_int() + + if self._ph is not None: + self.errcode = self._lib.EN_getlinkindex(self._ph, Id.encode("utf-8"), byref(index)) + else: + self.errcode = self._lib.ENgetlinkindex(Id.encode("utf-8"), byref(index)) + + self.ENgeterror() + return index.value + + def ENgetlinknodes(self, index): + """ Gets the indexes of a link's start- and end-nodes. + + ENgetlinknodes(index) + + Parameters: + index a link's index (starting from 1). + + Returns: + from the index of the link's start node (starting from 1). + to the index of the link's end node (starting from 1). + """ + fromNode = c_int() + toNode = c_int() + + if self._ph is not None: + self.errcode = self._lib.EN_getlinknodes(self._ph, int(index), byref(fromNode), byref(toNode)) + else: + self.errcode = self._lib.ENgetlinknodes(int(index), byref(fromNode), byref(toNode)) + + self.ENgeterror() + return [fromNode.value, toNode.value] + + def ENgetlinktype(self, index): + """ Retrieves a link's type. + + ENgetlinktype(index) + + Parameters: + index a link's index (starting from 1). + + Returns: + typecode the link's type (see LinkType). + """ + code_p = c_int() + + if self._ph is not None: + self.errcode = self._lib.EN_getlinktype(self._ph, int(index), byref(code_p)) + else: + self.errcode = self._lib.ENgetlinktype(int(index), byref(code_p)) + + self.ENgeterror() + if code_p.value != -1: + return code_p.value + else: + return sys.maxsize + + def ENgetlinkvalue(self, index, paramcode): + """ Retrieves a property value for a link. + + ENgetlinkvalue(index, paramcode) + + Parameters: + index a link's index (starting from 1). + paramcode the property to retrieve (see EN_LinkProperty). + + Returns: + value the current value of the property. + + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___links.html + """ + + if self._ph is not None: + fValue = c_double() + self.errcode = self._lib.EN_getlinkvalue(self._ph, int(index), paramcode, byref(fValue)) + else: + fValue = c_float() + self.errcode = self._lib.ENgetlinkvalue(int(index), paramcode, byref(fValue)) + + self.ENgeterror() + return fValue.value + + def ENgetnodeid(self, index): + """ Gets the ID name of a node given its index + + ENgetnodeid(index) + + Parameters: + index nodes index + + Returns: + nameID nodes id + """ + nameID = create_string_buffer(self.EN_MAXID) + + if self._ph is not None: + self.errcode = self._lib.EN_getnodeid(self._ph, int(index), byref(nameID)) + else: + self.errcode = self._lib.ENgetnodeid(int(index), byref(nameID)) + + self.ENgeterror() + return nameID.value.decode() + + def ENgetnodeindex(self, Id): + """ Gets the index of a node given its ID name. + + ENgetnodeindex(Id) + + Parameters: + Id a node ID name. + + Returns: + index the node's index (starting from 1). + """ + index = c_int() + + if self._ph is not None: + self.errcode = self._lib.EN_getnodeindex(self._ph, Id.encode("utf-8"), byref(index)) + else: + self.errcode = self._lib.ENgetnodeindex(Id.encode("utf-8"), byref(index)) + + self.ENgeterror() + return index.value + + def ENgetnodetype(self, index): + """ Retrieves a node's type given its index. + + ENgetnodetype(index) + + Parameters: + index a node's index (starting from 1). + + Returns: + type the node's type (see NodeType). + """ + code_p = c_int() + + if self._ph is not None: + self.errcode = self._lib.EN_getnodetype(self._ph, int(index), byref(code_p)) + else: + self.errcode = self._lib.ENgetnodetype(int(index), byref(code_p)) + + self.ENgeterror() + return code_p.value + + def ENgetnodevalue(self, index, code_p): + """ Retrieves a property value for a node. + + ENgetnodevalue(index, paramcode) + + Parameters: + index a node's index. + paramcode the property to retrieve (see EN_NodeProperty, self.getToolkitConstants). + + Returns: + value the current value of the property. + + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___nodes.html + """ + if self._ph is not None: + fValue = self._t_double + self.errcode = self._lib.EN_getnodevalue(self._ph, int(index), code_p, byref(fValue)) + else: + fValue = self._t_float + self.errcode = self._lib.ENgetnodevalue(int(index), code_p, byref(fValue)) + + if self.errcode == 240: + self.errcode = 0 + return None + else: + self.ENgeterror() + return fValue.value + + def ENgetnodevalues(self, property): + """ + Input: property = node property code (see EN_NodeProperty) + Output: values = array of node property values + Returns: error code + Purpose: retrieves property values for all nodes + """ + + EN_NODECOUNT = 0 + num_nodes = self.ENgetcount(EN_NODECOUNT) + + property = c_int(property) + if self._ph is not None: + values_array = (c_double * num_nodes)() + self.errcode = self._lib.EN_getnodevalues(self._ph, property, values_array) + else: + values_array = (c_float * num_nodes)() + self.errcode = self._lib.ENgetnodevalues(property, values_array) + self.ENgeterror() + return list(values_array) + + def ENgetnumdemands(self, index): + """ Retrieves the number of demand categories for a junction node. + EPANET 20100 + + ENgetnumdemands(index) + + Parameters: + index the index of a node (starting from 1). + + Returns: + value the number of demand categories assigned to the node. + """ + numDemands = c_int() + + if self._ph is not None: + self.errcode = self._lib.EN_getnumdemands(self._ph, int(index), byref(numDemands)) + else: + self.errcode = self._lib.ENgetnumdemands(int(index), byref(numDemands)) + + self.ENgeterror() + return numDemands.value + + def ENgetoption(self, optioncode): + """ Retrieves the value of an analysis option. + + ENgetoption(optioncode) + + Parameters: + optioncode a type of analysis option (see EN_Option). + + Returns: + value the current value of the option. + """ + if self._ph is not None: + value = c_double() + self.errcode = self._lib.EN_getoption(self._ph, optioncode, byref(value)) + else: + value = c_float() + self.errcode = self._lib.ENgetoption(optioncode, byref(value)) + + self.ENgeterror() + return value.value + + def ENgetpatternid(self, index): + """ Retrieves the ID name of a time pattern given its index. + + ENgetpatternid(index) + + Parameters: + index a time pattern index (starting from 1). + + Returns: + id the time pattern's ID name. + + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___patterns.html + """ + nameID = create_string_buffer(self.EN_MAXID) + + if self._ph is not None: + self.errcode = self._lib.EN_getpatternid(self._ph, int(index), byref(nameID)) + else: + self.errcode = self._lib.ENgetpatternid(int(index), byref(nameID)) + + self.ENgeterror() + return nameID.value.decode() + + def ENgetpatternindex(self, Id): + """ Retrieves the index of a time pattern given its ID name. + + ENgetpatternindex(id) + + Parameters: + id the ID name of a time pattern. + + Returns: + index the time pattern's index (starting from 1). + """ + index = c_int() + + if self._ph is not None: + self.errcode = self._lib.EN_getpatternindex(self._ph, Id.encode("utf-8"), byref(index)) + else: + self.errcode = self._lib.ENgetpatternindex(Id.encode("utf-8"), byref(index)) + + self.ENgeterror() + return index.value + + def ENgetpatternlen(self, index): + """ Retrieves the number of time periods in a time pattern. + + ENgetpatternlen(index) + + Parameters: + index a time pattern index (starting from 1). + + Returns: + leng the number of time periods in the pattern. + """ + leng = c_int() + + if self._ph is not None: + self.errcode = self._lib.EN_getpatternlen(self._ph, int(index), byref(leng)) + else: + self.errcode = self._lib.ENgetpatternlen(int(index), byref(leng)) + + self.ENgeterror() + return leng.value + + def ENgetpatternvalue(self, index, period): + """ Retrieves a time pattern's factor for a given time period. + + ENgetpatternvalue(index, period) + + Parameters: + index a time pattern index (starting from 1). + period a time period in the pattern (starting from 1). + + Returns: + value the pattern factor for the given time period. + """ + if self._ph is not None: + value = c_double() + self.errcode = self._lib.EN_getpatternvalue(self._ph, int(index), period, byref(value)) + else: + value = c_float() + self.errcode = self._lib.ENgetpatternvalue(int(index), period, byref(value)) + + self.ENgeterror() + return value.value + + def ENgetpremise(self, ruleIndex, premiseIndex): + """ Gets the properties of a premise in a rule-based control. + + + ENgetpremise(ruleIndex, premiseIndex) + + Parameters: + ruleIndex the rule's index (starting from 1). + premiseIndex the position of the premise in the rule's list of premises (starting from 1). + + Returns: + logop the premise's logical operator ( IF = 1, AND = 2, OR = 3 ). + object_ the status assigned to the link (see RULEOBJECT). + objIndex the index of the object (e.g. the index of a tank). + variable the object's variable being compared (see RULEVARIABLE). + relop the premise's comparison operator (see RULEOPERATOR). + status the status that the object's status is compared to (see RULESTATUS). + value the value that the object's variable is compared to. + """ + logop = c_int() + object_ = c_int() + objIndex = c_int() + variable = c_int() + relop = c_int() + status = c_int() + + if self._ph is not None: + value = c_double() + self.errcode = self._lib.EN_getpremise(self._ph, int(ruleIndex), int(premiseIndex), byref(logop), + byref(object_), byref(objIndex), + byref(variable), byref(relop), byref(status), + byref(value)) + else: + value = c_float() + self.errcode = self._lib.ENgetpremise(int(ruleIndex), int(premiseIndex), byref(logop), + byref(object_), byref(objIndex), + byref(variable), byref(relop), byref(status), + byref(value)) + + self.ENgeterror() + return [logop.value, object_.value, objIndex.value, variable.value, relop.value, status.value, value.value] + + def ENgetpumptype(self, index): + """ Retrieves the type of head curve used by a pump. + + + ENgetpumptype(pumpindex) + + Parameters: + pumpindex the index of a pump link (starting from 1). + + Returns: + value the type of head curve used by the pump (see EN_PumpType). + """ + code_p = c_int() + + if self._ph is not None: + self.errcode = self._lib.EN_getpumptype(self._ph, int(index), byref(code_p)) + else: + self.errcode = self._lib.ENgetpumptype(int(index), byref(code_p)) + + self.ENgeterror() + return code_p.value + + def ENgetqualinfo(self): + """ Gets information about the type of water quality analysis requested. + + ENgetqualinfo() + + Returns: + qualType type of analysis to run (see self.QualityType). + chemname name of chemical constituent. + chemunits concentration units of the constituent. + tracenode index of the node being traced (if applicable). + """ + qualType = c_int() + chemname = create_string_buffer(self.EN_MAXID) + chemunits = create_string_buffer(self.EN_MAXID) + tracenode = c_int() + + if self._ph is not None: + self.errcode = self._lib.EN_getqualinfo(self._ph, byref(qualType), byref(chemname), + byref(chemunits), byref(tracenode)) + else: + self.errcode = self._lib.ENgetqualinfo(byref(qualType), byref(chemname), + byref(chemunits), byref(tracenode)) + + self.ENgeterror() + return [qualType.value, chemname.value.decode(), chemunits.value.decode(), tracenode.value] + + def ENgetqualtype(self): + """ Retrieves the type of water quality analysis to be run. + + ENgetqualtype() + + Returns: + qualcode type of analysis to run (see self.QualityType). + tracenode index of the node being traced (if applicable). + """ + qualcode = c_int() + tracenode = c_int() + + if self._ph is not None: + self.errcode = self._lib.EN_getqualtype(self._ph, byref(qualcode), byref(tracenode)) + else: + self.errcode = self._lib.ENgetqualtype(byref(qualcode), byref(tracenode)) + + self.ENgeterror() + return [qualcode.value, tracenode.value] + + def ENgetresultindex(self, objecttype, index): + """Retrieves the order in which a node or link appears in an output file. + + + ENgetresultindex(objecttype, index) + + Parameters: + objecttype a type of element (either EN_NODE or EN_LINK). + index the element's current index (starting from 1). + + Returns: + value the order in which the element's results were written to file. + """ + value = c_int() + + if self._ph is not None: + self.errcode = self._lib.EN_getresultindex(self._ph, objecttype, int(index), byref(value)) + else: + self.errcode = self._lib.ENgetresultindex(objecttype, int(index), byref(value)) + + self.ENgeterror() + return value.value + + def ENgetrule(self, index): + """ Retrieves summary information about a rule-based control. + + + ENgetrule(index): + + Parameters: + index the rule's index (starting from 1). + + Returns: + nPremises number of premises in the rule's IF section. + nThenActions number of actions in the rule's THEN section. + nElseActions number of actions in the rule's ELSE section. + priority the rule's priority value. + """ + nPremises = c_int() + nThenActions = c_int() + nElseActions = c_int() + + if self._ph is not None: + priority = c_double() + self.errcode = self._lib.EN_getrule(self._ph, int(index), byref(nPremises), + byref(nThenActions), + byref(nElseActions), byref(priority)) + else: + priority = c_float() + self.errcode = self._lib.ENgetrule(int(index), byref(nPremises), + byref(nThenActions), + byref(nElseActions), byref(priority)) + + self.ENgeterror() + return [nPremises.value, nThenActions.value, nElseActions.value, priority.value] + + def ENgetruleID(self, index): + """ Gets the ID name of a rule-based control given its index. + + + ENgetruleID(index) + + Parameters: + index the rule's index (starting from 1). + + Returns: + id the rule's ID name. + + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___rules.html + """ + nameID = create_string_buffer(self.EN_MAXID) + + if self._ph is not None: + self.errcode = self._lib.EN_getruleID(self._ph, int(index), byref(nameID)) + else: + self.errcode = self._lib.ENgetruleID(int(index), byref(nameID)) + + self.ENgeterror() + return nameID.value.decode() + + def ENgetstatistic(self, code): + """ Retrieves a particular simulation statistic. + EPANET 20100 + + ENgetstatistic(code) + + Parameters: + code the type of statistic to retrieve (see EN_AnalysisStatistic). + + Returns: + value the value of the statistic. + + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___reporting.html + """ + if self._ph is not None: + value = c_double() + self.errcode = self._lib.EN_getstatistic(self._ph, int(code), byref(value)) + else: + value = c_float() + self.errcode = self._lib.ENgetstatistic(int(code), byref(value)) + + self.ENgeterror() + return value.value + + def ENgetthenaction(self, ruleIndex, actionIndex): + """ Gets the properties of a THEN action in a rule-based control. + + + ENgetthenaction(ruleIndex, actionIndex) + + Parameters: + ruleIndex the rule's index (starting from 1). + actionIndex the index of the THEN action to retrieve (starting from 1). + + Returns: + linkIndex the index of the link in the action (starting from 1). + status the status assigned to the link (see RULESTATUS). + setting the value assigned to the link's setting. + """ + linkIndex = c_int() + status = c_int() + if self._ph is not None: + setting = c_double() + self.errcode = self._lib.EN_getthenaction(self._ph, int(ruleIndex), int(actionIndex), + byref(linkIndex), + byref(status), byref(setting)) + else: + setting = c_float() + self.errcode = self._lib.ENgetthenaction(int(ruleIndex), int(actionIndex), + byref(linkIndex), + byref(status), byref(setting)) + + self.ENgeterror() + return [linkIndex.value, status.value, setting.value] + + def ENgettimeparam(self, paramcode): + """ Retrieves the value of a time parameter. + + ENgettimeparam(paramcode) + + Parameters: + paramcode a time parameter code (see EN_TimeParameter). + + Returns: + timevalue the current value of the time parameter (in seconds). + """ + timevalue = c_long() + + if self._ph is not None: + self.errcode = self._lib.EN_gettimeparam(self._ph, c_int(paramcode), byref(timevalue)) + else: + self.errcode = self._lib.ENgettimeparam(c_int(paramcode), byref(timevalue)) + + self.ENgeterror() + return timevalue.value + + def ENgettitle(self): + """ Retrieves the title lines of the project. + + + ENgettitle() + + Returns: + line1 first title line + line2 second title line + line3 third title line + """ + line1 = create_string_buffer(80) + line2 = create_string_buffer(80) + line3 = create_string_buffer(80) + + if self._ph is not None: + self.errcode = self._lib.EN_gettitle(self._ph, byref(line1), byref(line2), + byref(line3)) + else: + self.errcode = self._lib.ENgettitle(byref(line1), byref(line2), + byref(line3)) + + self.ENgeterror() + return [line1.value.decode(), line2.value.decode(), line3.value.decode()] + + def ENgetversion(self): + """ Retrieves the toolkit API version number. + + ENgetversion() + + Returns: + LibEPANET the version of the OWA-EPANET toolkit. + """ + LibEPANET = c_int() + self.errcode = self._lib.EN_getversion(byref(LibEPANET)) + self.ENgeterror() + return LibEPANET.value + + def ENgetvertex(self, index, vertex): + """ Retrieves the coordinate's of a vertex point assigned to a link. + + + ENgetvertex(index, vertex) + + Parameters: + index a link's index (starting from 1). + vertex a vertex point index (starting from 1). + + Returns: + x the vertex's X-coordinate value. + y the vertex's Y-coordinate value. + """ + x = c_double() # need double for EN_ or EN functions. + y = c_double() + if self._ph is not None: + self.errcode = self._lib.EN_getvertex(self._ph, int(index), vertex, byref(x), byref(y)) + else: + self.errcode = self._lib.ENgetvertex(int(index), vertex, byref(x), byref(y)) + + self.ENgeterror() + return [x.value, y.value] + + def ENgetvertexcount(self, index): + """ Retrieves the number of internal vertex points assigned to a link. + + ENgetvertexcount(index) + + Parameters: + index a link's index (starting from 1). + + Returns: + count the number of vertex points that describe the link's shape. + """ + count = c_int() + + if self._ph is not None: + self.errcode = self._lib.EN_getvertexcount(self._ph, int(index), byref(count)) + else: + self.errcode = self._lib.ENgetvertexcount(int(index), byref(count)) + + self.ENgeterror() + return count.value + + def ENinit(self, unitsType, headLossType): + """ Initializes an EPANET project. + + + ENinit(unitsType, headLossType) + + Parameters: + unitsType the choice of flow units (see EN_FlowUnits). + headLossType the choice of head loss formula (see EN_HeadLossType). + + """ + + if self._ph is not None: + self.errcode = self._lib.EN_init(self._ph, "", "", unitsType, headLossType) + else: + self.errcode = self._lib.ENinit("", "", unitsType, headLossType) + + self.ENgeterror() + + def ENinitH(self, flag): + """ Initializes a network prior to running a hydraulic analysis. + + ENinitH(flag) + + Parameters: + flag a 2-digit initialization flag (see EN_InitHydOption). + + See also ENinitH, ENrunH, ENnextH, ENreport, ENsavehydfile + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___hydraulics.html + """ + err = self._initH(flag) + self.errcode = err + if err: + self.ENgeterror() + return + + def ENinitQ(self, saveflag): + """ Initializes a network prior to running a water quality analysis. + + ENinitQ(saveflag) + + Parameters: + saveflag set to EN_SAVE (1) if results are to be saved to the project's + binary output file, or to EN_NOSAVE (0) if not. + + See also ENinitQ, ENrunQ, ENnextQ + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___quality.html + """ + err = self._initQ(saveflag) + self.errcode = err + if err: + self.ENgeterror() + return + + def ENnextH(self): + """ Determines the length of time until the next hydraulic event occurs in an extended period simulation. + + ENnextH() + + Returns: + tstep the time (in seconds) until the next hydraulic event or 0 if at the end of the full simulation duration. + + See also ENrunH + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___hydraulics.html + """ + tstep = self._t_long + err = self._nextH(byref(tstep)) + self.errcode = err + if err: + self.ENgeterror() + return tstep.value + + def ENnextQ(self): + """ Advances a water quality simulation over the time until the next hydraulic event. + + ENnextQ() + + Returns: + tstep time (in seconds) until the next hydraulic event or 0 if at the end of the full simulation duration. + + See also ENstepQ, ENrunQ + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___quality.html + """ + tstep = self._t_long + err = self._nextQ(byref(tstep)) + self.errcode = err + if err: + self.ENgeterror() + return tstep.value + + def ENopen(self, inpname=None, repname=None, binname=None): + """ Opens an EPANET input file & reads in network data. + + ENopen(inpname, repname, binname) + + Parameters: + inpname the name of an existing EPANET-formatted input file. + repname the name of a report file to be created (or "" if not needed). + binname the name of a binary output file to be created (or "" if not needed). + + See also ENclose + """ + if inpname is None: + inpname = self.inpfile + if repname is None: + repname = self.rptfile + if repname is None: + repname = inpname[0:-4] + '.txt' + if binname is None: + binname = self.binfile + if binname is None: + binname = repname[0:-4] + '.bin' + + self.inpfile = bytes(inpname, 'utf-8') + self.rptfile = bytes(repname, 'utf-8') + self.binfile = bytes(binname, 'utf-8') + + if self._ph is not None: + self._lib.EN_createproject(byref(self._ph)) + self.errcode = self._lib.EN_open(self._ph, self.inpfile, self.rptfile, self.binfile) + else: + self.errcode = self._lib.ENopen(self.inpfile, self.rptfile, self.binfile) + + self.ENgeterror() + return + + def ENopenH(self): + """ Opens a project's hydraulic solver. + + ENopenH() + + See also ENinitH, ENrunH, ENnextH, ENcloseH + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___hydraulics.html""" + err = self._openH() + self.errcode = err + if err: + self.ENgeterror() + return err + + def ENopenQ(self): + """ Opens a project's water quality solver. + + ENopenQ() + + See also ENopenQ, ENinitQ, ENrunQ, ENnextQ, + ENstepQ, ENcloseQ + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___quality.html + """ + err = self._openQ() + self.errcode = err + if err: + self.ENgeterror() + return err + + def ENreport(self): + """ Writes simulation results in a tabular format to a project's report file. + + ENreport() + + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___reporting.html + """ + if self._ph is not None: + self.errcode = self._lib.EN_report(self._ph) + else: + self.errcode = self._lib.ENreport() + + self.ENgeterror() + + def ENresetreport(self): + """ Resets a project's report options to their default values. + + ENresetreport() + + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___reporting.html + """ + + if self._ph is not None: + self.errcode = self._lib.EN_resetreport(self._ph) + else: + self.errcode = self._lib.ENresetreport() + + self.ENgeterror() + + def ENrunH(self): + """ Computes a hydraulic solution for the current point in time. + + ENrunH() + + Returns: + t the current simulation time in seconds. + + See also ENinitH, ENrunH, ENnextH, ENcloseH + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___hydraulics.html + """ + t = self._t_long + err = self._runH(byref(t)) + self.errcode = err + if err: + self.ENgeterror() + return t.value + + def ENrunQ(self): + """ Makes hydraulic and water quality results at the start of the current + time period available to a project's water quality solver. + + ENrunQ() + + Returns: + t current simulation time in seconds. + See also ENopenQ, ENinitQ, ENrunQ, ENnextQ, ENstepQ + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___quality.html + """ + t = c_long() + + if self._ph is not None: + self.errcode = self._lib.EN_runQ(self._ph, byref(t)) + else: + self.errcode = self._lib.ENrunQ(byref(t)) + + self.ENgeterror() + return t.value + + def ENsaveH(self): + """ Transfers a project's hydraulics results from its temporary hydraulics file to its binary output file, + where results are only reported at uniform reporting intervals. + + ENsaveH() + + """ + + if self._ph is not None: + self.errcode = self._lib.EN_saveH(self._ph) + else: + self.errcode = self._lib.ENsaveH() + + self.ENgeterror() + return + + def ENsavehydfile(self, fname): + """ Saves a project's temporary hydraulics file to disk. + + ENsaveHydfile(fname) + + """ + + if self._ph is not None: + self.errcode = self._lib.EN_savehydfile(self._ph, fname.encode("utf-8")) + else: + self.errcode = self._lib.ENsavehydfile(fname.encode("utf-8")) + + self.ENgeterror() + + def ENsaveinpfile(self, inpname): + """ Saves a project's data to an EPANET-formatted text file. + + ENsaveinpfile(inpname) + + """ + + if self._ph is not None: + self.errcode = self._lib.EN_saveinpfile(self._ph, inpname.encode("utf-8")) + else: + self.errcode = self._lib.ENsaveinpfile(inpname.encode("utf-8")) + + self.ENgeterror() + return + + def ENsetbasedemand(self, index, demandIdx, value): + """ Sets the base demand for one of a node's demand categories. + + + ENsetbasedemand(index, demandIdx, value) + + Parameters: + index a node's index (starting from 1). + demandIdx the index of a demand category for the node (starting from 1). + value the new base demand for the category. + + """ + + if self._ph is not None: + self.errcode = self._lib.EN_setbasedemand(self._ph, int(index), demandIdx, c_double(value)) + else: + self.errcode = self._lib.ENsetbasedemand(int(index), demandIdx, c_float(value)) + + self.ENgeterror() + + def ENsetcomment(self, object_, index, comment): + """ Sets a comment to a specific index + + + ENsetcomment(object, index, comment) + + Parameters: + object_ a type of object (either EN_NODE, EN_LINK, EN_TIMEPAT or EN_CURVE) + e.g, obj.ToolkitConstants.EN_NODE + index objects index (starting from 1). + comment comment to be added. + + """ + + if self._ph is not None: + self.errcode = self._lib.EN_setcomment(self._ph, object_, index, comment.encode('utf-8')) + else: + self.errcode = self._lib.ENsetcomment(object_, index, comment.encode('utf-8')) + + self.ENgeterror() + + def ENsetcontrol(self, cindex, ctype, lindex, setting, nindex, level): + """ Sets the properties of an existing simple control. + + ENsetcontrol(cindex, ctype, lindex, setting, nindex, level) + + Parameters: + cindex the control's index (starting from 1). + ctype the type of control (see ControlTypes). + lindex the index of the link being controlled. + setting the control setting applied to the link. + nindex the index of the node used to trigger the control (0 for EN_TIMER and EN_TIMEOFDAY controls). + level the action level (tank level, junction pressure, or time in seconds) that triggers the control. + + """ + + if self._ph is not None: + self.errcode = self._lib.EN_setcontrol(self._ph, int(cindex), ctype, lindex, c_double(setting), + nindex, c_double(level)) + else: + self.errcode = self._lib.ENsetcontrol(int(cindex), ctype, lindex, c_float(setting), + nindex, c_float(level)) + + self.ENgeterror() + + def ENsetcoord(self, index, x, y): + """ Sets the (x,y) coordinates of a node. + + + ENsetcoord(index, x, y) + + Parameters: + index a node's index. + x the node's X-coordinate value. + y the node's Y-coordinate value. + + """ + + if self._ph is not None: + self.errcode = self._lib.EN_setcoord(self._ph, int(index), c_double(x), c_double(y)) + else: + self.errcode = self._lib.ENsetcoord(int(index), c_double(x), c_double(y)) + + self.ENgeterror() + + def ENsetcurve(self, index, x, y, nfactors): + """ Assigns a set of data points to a curve. + + + ENsetcurve(index, x, y, nfactors) + + Parameters: + index a curve's index (starting from 1). + x an array of new x-values for the curve. + y an array of new y-values for the curve. + nfactors the new number of data points for the curve. + + See also ENsetcurvevalue + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___curves.html + """ + if nfactors == 1: + + if self._ph is not None: + self.errcode = self._lib.EN_setcurve(self._ph, int(index), (c_double * 1)(x), + (c_double * 1)(y), nfactors) + else: + self.errcode = self._lib.ENsetcurve(int(index), (c_float * 1)(x), + (c_float * 1)(y), nfactors) + + + else: + + if self._ph is not None: + self.errcode = self._lib.EN_setcurve(self._ph, int(index), (c_double * nfactors)(*x), + (c_double * nfactors)(*y), nfactors) + else: + self.errcode = self._lib.ENsetcurve(int(index), (c_float * nfactors)(*x), + (c_float * nfactors)(*y), nfactors) + + self.ENgeterror() + + def ENsetcurveid(self, index, Id): + """ Changes the ID name of a data curve given its index. + + + ENsetcurveid(index, Id) + + Parameters: + index a curve's index (starting from 1). + Id an array of new x-values for the curve. + + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___curves.html + """ + + if self._ph is not None: + self.errcode = self._lib.EN_setcurveid(self._ph, int(index), Id.encode('utf-8')) + else: + self.errcode = self._lib.ENsetcurveid(int(index), Id.encode('utf-8')) + + self.ENgeterror() + + def ENsetcurvevalue(self, index, pnt, x, y): + """ Sets the value of a single data point for a curve. + + + ENsetcurvevalue(index, pnt, x, y) + + Parameters: + index a curve's index (starting from 1). + pnt the index of a point on the curve (starting from 1). + x the point's new x-value. + y the point's new y-value. + + """ + + if self._ph is not None: + self.errcode = self._lib.EN_setcurvevalue(self._ph, int(index), pnt, + c_double(x), c_double(y)) + else: + self.errcode = self._lib.ENsetcurvevalue(int(index), pnt, + c_float(x), c_float(y)) + + self.ENgeterror() + + def ENsetdemandmodel(self, Type, pmin, preq, pexp): + """ Sets the Type of demand model to use and its parameters. + + + ENsetdemandmodel(index, demandIdx, value) + + Parameters: + Type Type of demand model (see DEMANDMODEL). + pmin Pressure below which there is no demand. + preq Pressure required to deliver full demand. + pexp Pressure exponent in demand function. + + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___demands.html + """ + + if self._ph is not None: + self.errcode = self._lib.EN_setdemandmodel(self._ph, Type, c_double(pmin), + c_double(preq), c_double(pexp)) + else: + self.errcode = self._lib.ENsetdemandmodel(Type, c_float(pmin), + c_float(preq), c_float(pexp)) + + self.ENgeterror() + + def ENsetdemandname(self, node_index, demand_index, demand_name): + """ Assigns a name to a node's demand category. + + + ENsetdemandname(node_index, demand_index, demand_name) + Parameters: + node_index a node's index (starting from 1). + demand_index the index of one of the node's demand categories (starting from 1). + demand_name the new name assigned to the category. + + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___demands.html + """ + + if self._ph is not None: + self.errcode = self._lib.EN_setdemandname(self._ph, int(node_index), int(demand_index), + demand_name.encode("utf-8")) + else: + self.errcode = self._lib.ENsetdemandname(int(node_index), int(demand_index), + demand_name.encode("utf-8")) + + self.ENgeterror() + return + + def ENsetdemandpattern(self, index, demandIdx, patInd): + """ Sets the index of a time pattern used for one of a node's demand categories. + + ENsetdemandpattern(index, demandIdx, patInd) + + Parameters: + index a node's index (starting from 1). + demandIdx the index of one of the node's demand categories (starting from 1). + patInd the index of the time pattern assigned to the category. + + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___demands.html + """ + + if self._ph is not None: + self.errcode = self._lib.EN_setdemandpattern(self._ph, int(index), int(demandIdx), int(patInd)) + else: + self.errcode = self._lib.ENsetdemandpattern(int(index), int(demandIdx), int(patInd)) + + def ENsetelseaction(self, ruleIndex, actionIndex, linkIndex, status, setting): + """ Sets the properties of an ELSE action in a rule-based control. + + + ENsetelseaction(ruleIndex, actionIndex, linkIndex, status, setting) + + Parameters: + ruleIndex the rule's index (starting from 1). + actionIndex the index of the ELSE action being modified (starting from 1). + linkIndex the index of the link in the action (starting from 1). + status the new status assigned to the link (see RULESTATUS). + setting the new value assigned to the link's setting. + + """ + + if self._ph is not None: + self.errcode = self._lib.EN_setelseaction(self._ph, int(ruleIndex), int(actionIndex), int(linkIndex), + status, + c_double(setting)) + else: + self.errcode = self._lib.ENsetelseaction(int(ruleIndex), int(actionIndex), int(linkIndex), + status, + c_float(setting)) + + self.ENgeterror() + + def ENsetflowunits(self, code): + """ Sets a project's flow units. + + ENsetflowunits(code) + + Parameters: + code a flow units code (see EN_FlowUnits) + + """ + + if self._ph is not None: + self.errcode = self._lib.EN_setflowunits(self._ph, code) + else: + self.errcode = self._lib.ENsetflowunits(code) + + self.ENgeterror() + + def ENsetheadcurveindex(self, pumpindex, curveindex): + """ Assigns a curve to a pump's head curve. + + ENsetheadcurveindex(pumpindex, curveindex) + + Parameters: + pumpindex the index of a pump link (starting from 1). + curveindex the index of a curve to be assigned as the pump's head curve. + + """ + + if self._ph is not None: + self.errcode = self._lib.EN_setheadcurveindex(self._ph, int(pumpindex), int(curveindex)) + else: + self.errcode = self._lib.ENsetheadcurveindex(int(pumpindex), int(curveindex)) + + self.ENgeterror() + + def ENsetjuncdata(self, index, elev, dmnd, dmndpat): + """ Sets a group of properties for a junction node. + + + ENsetjuncdata(index, elev, dmnd, dmndpat) + + Parameters: + index a junction node's index (starting from 1). + elev the value of the junction's elevation. + dmnd the value of the junction's primary base demand. + dmndpat the ID name of the demand's time pattern ("" for no pattern). + + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___nodes.html + """ + + if self._ph is not None: + self.errcode = self._lib.EN_setjuncdata(self._ph, int(index), c_double(elev), c_double(dmnd), + dmndpat.encode("utf-8")) + else: + self.errcode = self._lib.ENsetjuncdata(int(index), c_float(elev), c_float(dmnd), + dmndpat.encode("utf-8")) + + self.ENgeterror() + + def ENsetlinkid(self, index, newid): + """ Changes the ID name of a link. + + + ENsetlinkid(index, newid) + + Parameters: + index a link's index (starting from 1). + newid the new ID name for the link. + + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___links.html + """ + + if self._ph is not None: + self.errcode = self._lib.EN_setlinkid(self._ph, int(index), newid.encode("utf-8")) + else: + self.errcode = self._lib.ENsetlinkid(int(index), newid.encode("utf-8")) + + self.ENgeterror() + + def ENsetlinknodes(self, index, startnode, endnode): + """ Sets the indexes of a link's start- and end-nodes. + + + ENsetlinknodes(index, startnode, endnode) + + Parameters: + index a link's index (starting from 1). + startnode The index of the link's start node (starting from 1). + endnode The index of the link's end node (starting from 1). + """ + + if self._ph is not None: + self.errcode = self._lib.EN_setlinknodes(self._ph, int(index), startnode, endnode) + else: + self.errcode = self._lib.ENsetlinknodes(int(index), startnode, endnode) + + self.ENgeterror() + + def ENsetlinktype(self, indexLink, paramcode, actionCode): + """ Changes a link's type. + + + ENsetlinktype(id, paramcode, actionCode) + + Parameters: + indexLink a link's index (starting from 1). + paramcode the new type to change the link to (see self.LinkType). + actionCode the action taken if any controls contain the link. + + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___links.html + """ + idx_ptr = self._t_int() + idx_ptr.value = indexLink + typ = self._t_int(paramcode) + act = self._t_int(actionCode) + + if self._ph is not None: + self.errcode = self._lib.EN_setlinktype(self._ph, byref(idx_ptr), typ, act) + else: + self.errcode = self._lib.ENsetlinktype(byref(idx_ptr), typ, act) + + self.ENgeterror() + return idx_ptr.value + + def ENsetlinkvalue(self, index, paramcode, value): + """ Sets a property value for a link. + + ENsetlinkvalue(index, paramcode, value) + + Parameters: + index a link's index. + paramcode the property to set (see EN_LinkProperty). + value the new value for the property. + + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___links.html + """ + + if self._ph is not None: + self.errcode = self._lib.EN_setlinkvalue(self._ph, c_int(index), c_int(paramcode), + c_double(value)) + else: + self.errcode = self._lib.ENsetlinkvalue(c_int(index), c_int(paramcode), + c_float(value)) + + self.ENgeterror() + return self.errcode + + def ENsetnodeid(self, index, newid): + """ Changes the ID name of a node. + + + ENsetnodeid(index, newid) + + Parameters: + index a node's index (starting from 1). + newid the new ID name for the node. + + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___nodes.html + """ + + if self._ph is not None: + self.errcode = self._lib.EN_setnodeid(self._ph, int(index), newid.encode('utf-8')) + else: + self.errcode = self._lib.ENsetnodeid(int(index), newid.encode('utf-8')) + self.ENgeterror() + + def ENsetnodevalue(self, index, paramcode, value): + """ Sets a property value for a node. + + + ENsetnodevalue(index, paramcode, value) + + Parameters: + index a node's index (starting from 1). + paramcode the property to set (see EN_NodeProperty, self.getToolkitConstants). + value the new value for the property. + + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___nodes.html + """ + + if self._ph is not None: + self.errcode = self._lib.EN_setnodevalue(self._ph, c_int(index), c_int(paramcode), + c_double(value)) + else: + self.errcode = self._lib.ENsetnodevalue(c_int(index), c_int(paramcode), + c_float(value)) + self.ENgeterror() + return + + def ENsetoption(self, optioncode, value): + """ Sets the value for an anlysis option. + + ENsetoption(optioncode, value) + + Parameters: + optioncode a type of analysis option (see EN_Option). + value the new value assigned to the option. + """ + + if self._ph is not None: + self.errcode = self._lib.EN_setoption(self._ph, optioncode, c_double(value)) + else: + self.errcode = self._lib.ENsetoption(optioncode, c_float(value)) + self.ENgeterror() + + def ENsetpattern(self, index, factors, nfactors): + """ Sets the pattern factors for a given time pattern. + + ENsetpattern(index, factors, nfactors) + + Parameters: + index a time pattern index (starting from 1). + factors an array of new pattern factor values. + nfactors the number of factor values supplied. + + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___patterns.html + """ + + if self._ph is not None: + self.errcode = self._lib.EN_setpattern(self._ph, int(index), (c_double * nfactors)(*factors), nfactors) + else: + self.errcode = self._lib.ENsetpattern(int(index), (c_float * nfactors)(*factors), + nfactors) + self.ENgeterror() + + def ENsetpatternid(self, index, Id): + """ Changes the ID name of a time pattern given its index. + + + ENsetpatternid(index, id) + + Parameters: + index a time pattern index (starting from 1). + id the time pattern's new ID name. + + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___patterns.html + """ + + if self._ph is not None: + self.errcode = self._lib.EN_setpatternid(self._ph, int(index), Id.encode('utf-8')) + else: + self.errcode = self._lib.ENsetpatternid(int(index), Id.encode('utf-8')) + self.ENgeterror() + + def ENsetpatternvalue(self, index, period, value): + """ Sets a time pattern's factor for a given time period. + + ENsetpatternvalue(index, period, value) + + Parameters: + index a time pattern index (starting from 1). + period a time period in the pattern (starting from 1). + value the new value of the pattern factor for the given time period. + """ + + if self._ph is not None: + self.errcode = self._lib.EN_setpatternvalue(self._ph, int(index), period, c_double(value)) + else: + self.errcode = self._lib.ENsetpatternvalue(int(index), period, c_float(value)) + self.ENgeterror() + + def ENsetpipedata(self, index, length, diam, rough, mloss): + """ Sets a group of properties for a pipe link. + + + ENsetpipedata(index, length, diam, rough, mloss) + + Parameters: + index the index of a pipe link (starting from 1). + length the pipe's length. + diam the pipe's diameter. + rough the pipe's roughness coefficient. + mloss the pipe's minor loss coefficient. + + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___links.html + """ + + if self._ph is not None: + self.errcode = self._lib.EN_setpipedata(self._ph, int(index), c_double(length), + c_double(diam), c_double(rough), + c_double(mloss)) + else: + self.errcode = self._lib.ENsetpipedata(int(index), c_float(length), + c_float(diam), c_float(rough), + c_float(mloss)) + + self.ENgeterror() + + def ENsetpremise(self, ruleIndex, premiseIndex, logop, object_, objIndex, variable, relop, status, value): + """ Sets the properties of a premise in a rule-based control. + + + ENsetpremise(ruleIndex, premiseIndex, logop, object, objIndex, variable, relop, status, value) + + Parameters: + ruleIndex the rule's index (starting from 1). + premiseIndex the position of the premise in the rule's list of premises. + logop the premise's logical operator ( IF = 1, AND = 2, OR = 3 ). + object_ the type of object the premise refers to (see RULEOBJECT). + objIndex the index of the object (e.g. the index of a tank). + variable the object's variable being compared (see RULEVARIABLE). + relop the premise's comparison operator (see RULEOPERATOR). + status the status that the object's status is compared to (see RULESTATUS). + value the value that the object's variable is compared to. + + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___rules.html + """ + + if self._ph is not None: + self.errcode = self._lib.EN_setpremise(self._ph, int(ruleIndex), int(premiseIndex), logop, object_, + objIndex, variable, relop, status, c_double(value)) + else: + self.errcode = self._lib.ENsetpremise(int(ruleIndex), int(premiseIndex), logop, object_, + objIndex, variable, relop, status, c_float(value)) + + self.ENgeterror() + + def ENsetpremiseindex(self, ruleIndex, premiseIndex, objIndex): + """ Sets the index of an object in a premise of a rule-based control. + + + ENsetpremiseindex(ruleIndex, premiseIndex, objIndex) + + Parameters: + ruleIndex the rule's index (starting from 1). + premiseIndex the premise's index (starting from 1). + objIndex the index of the object (e.g. the index of a tank). + """ + + if self._ph is not None: + self.errcode = self._lib.EN_setpremiseindex(self._ph, int(ruleIndex), int(premiseIndex), objIndex) + else: + self.errcode = self._lib.ENsetpremiseindex(int(ruleIndex), int(premiseIndex), objIndex) + + self.ENgeterror() + + def ENsetpremisestatus(self, ruleIndex, premiseIndex, status): + """ Sets the status being compared to in a premise of a rule-based control. + + + ENsetpremisestatus(ruleIndex, premiseIndex, status) + + Parameters: + ruleIndex the rule's index (starting from 1). + premiseIndex the premise's index (starting from 1). + status the status that the premise's object status is compared to (see RULESTATUS). + """ + + if self._ph is not None: + self.errcode = self._lib.EN_setpremisestatus(self._ph, int(ruleIndex), int(premiseIndex), status) + else: + self.errcode = self._lib.ENsetpremisestatus(int(ruleIndex), int(premiseIndex), status) + + self.ENgeterror() + + def ENsetpremisevalue(self, ruleIndex, premiseIndex, value): + """ Sets the value in a premise of a rule-based control. + + + ENsetpremisevalue(ruleIndex, premiseIndex, value) + + Parameters: + ruleIndex the rule's index (starting from 1). + premiseIndex the premise's index (starting from 1). + value The value that the premise's variable is compared to. + """ + + if self._ph is not None: + self.errcode = self._lib.EN_setpremisevalue(self._ph, int(ruleIndex), premiseIndex, c_double(value)) + else: + self.errcode = self._lib.ENsetpremisevalue(int(ruleIndex), premiseIndex, c_float(value)) + + self.ENgeterror() + + def ENsetqualtype(self, qualcode, chemname, chemunits, tracenode): + """ Sets the type of water quality analysis to run. + + ENsetqualtype(qualcode, chemname, chemunits, tracenode) + + Parameters: + qualcode the type of analysis to run (see EN_QualityType, self.QualityType). + chemname the name of the quality constituent. + chemunits the concentration units of the constituent. + tracenode a type of analysis option (see ENOption). + + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___options.html + """ + + if self._ph is not None: + self.errcode = self._lib.EN_setqualtype(self._ph, qualcode, chemname.encode("utf-8"), + chemunits.encode("utf-8"), tracenode.encode("utf-8")) + else: + self.errcode = self._lib.ENsetqualtype(qualcode, chemname.encode("utf-8"), + chemunits.encode("utf-8"), tracenode.encode("utf-8")) + + self.ENgeterror() + return + + def ENsetreport(self, command): + """ Processes a reporting format command. + + ENsetreport(command) + + Parameters: + command a report formatting command. + + See also ENreport + """ + + if self._ph is not None: + self.errcode = self._lib.EN_setreport(self._ph, command.encode("utf-8")) + else: + self.errcode = self._lib.ENsetreport(command.encode("utf-8")) + + self.ENgeterror() + + def ENsetrulepriority(self, ruleIndex, priority): + """ Sets the priority of a rule-based control. + + + ENsetrulepriority(ruleIndex, priority) + + Parameters: + ruleIndex the rule's index (starting from 1). + priority the priority value assigned to the rule. + """ + + if self._ph is not None: + self.errcode = self._lib.EN_setrulepriority(self._ph, int(ruleIndex), c_double(priority)) + else: + self.errcode = self._lib.ENsetrulepriority(int(ruleIndex), c_float(priority)) + + self.ENgeterror() + + def ENsetstatusreport(self, statuslevel): + """ Sets the level of hydraulic status reporting. + + ENsetstatusreport(statuslevel) + + Parameters: + statuslevel a status reporting level code (see EN_StatusReport). + + + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___reporting.html + """ + + if self._ph is not None: + self.errcode = self._lib.EN_setstatusreport(self._ph, statuslevel) + else: + self.errcode = self._lib.ENsetstatusreport(statuslevel) + + self.ENgeterror() + + def ENsettankdata(self, index, elev, initlvl, minlvl, maxlvl, diam, minvol, volcurve): + """ Sets a group of properties for a tank node. + + + ENsettankdata(index, elev, initlvl, minlvl, maxlvl, diam, minvol, volcurve) + + Parameters: + index a tank node's index (starting from 1). + elev the tank's bottom elevation. + initlvl the initial water level in the tank. + minlvl the minimum water level for the tank. + maxlvl the maximum water level for the tank. + diam the tank's diameter (0 if a volume curve is supplied). + minvol the new value for the property. + volcurve the volume of the tank at its minimum water level. + + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___nodes.html + """ + + if self._ph is not None: + self.errcode = self._lib.EN_settankdata( + self._ph, index, c_double(elev), c_double(initlvl), c_double(minlvl), + c_double(maxlvl), c_double(diam), c_double(minvol), volcurve.encode('utf-8')) + else: + self.errcode = self._lib.ENsettankdata(index, c_float(elev), c_float(initlvl), c_float(minlvl), + c_float(maxlvl), c_float(diam), c_float(minvol), + volcurve.encode('utf-8')) + + self.ENgeterror() + + def ENsetthenaction(self, ruleIndex, actionIndex, linkIndex, status, setting): + """ Sets the properties of a THEN action in a rule-based control. + + + ENsetthenaction(ruleIndex, actionIndex, linkIndex, status, setting) + + Parameters: + ruleIndex the rule's index (starting from 1). + actionIndex the index of the THEN action to retrieve (starting from 1). + linkIndex the index of the link in the action. + status the new status assigned to the link (see EN_RuleStatus).. + setting the new value assigned to the link's setting. + + """ + + if self._ph is not None: + self.errcode = self._lib.EN_setthenaction(self._ph, int(ruleIndex), int(actionIndex), int(linkIndex), + status, + c_double(setting)) + else: + self.errcode = self._lib.ENsetthenaction(int(ruleIndex), int(actionIndex), int(linkIndex), + status, + c_float(setting)) + + self.ENgeterror() + + def ENsettimeparam(self, paramcode, timevalue): + """ Sets the value of a time parameter. + + ENsettimeparam(paramcode, timevalue) + + Parameters: + paramcode a time parameter code (see EN_TimeParameter). + timevalue the new value of the time parameter (in seconds). + """ + self.solve = 0 + + if self._ph is not None: + self.errcode = self._lib.EN_settimeparam(self._ph, c_int(paramcode), c_long(int(timevalue))) + else: + self.errcode = self._lib.ENsettimeparam(c_int(paramcode), c_long(int(timevalue))) + + self.ENgeterror() + return self.errcode + + def ENsettitle(self, line1, line2, line3): + """ Sets the title lines of the project. + + + ENsettitle(line1, line2, line3) + + Parameters: + line1 first title line + line2 second title line + line3 third title line + """ + + if self._ph is not None: + self.errcode = self._lib.EN_settitle(self._ph, line1.encode("utf-8"), line2.encode("utf-8"), + line3.encode("utf-8")) + + else: + self.errcode = self._lib.ENsettitle(line1.encode("utf-8"), line2.encode("utf-8"), + line3.encode("utf-8")) + + self.ENgeterror() + + def ENsetvertices(self, index, x, y, vertex): + """ Assigns a set of internal vertex points to a link. + + + ENsetvertices(index, x, y, vertex) + + Parameters: + index a link's index (starting from 1). + x an array of X-coordinates for the vertex points. + y an array of Y-coordinates for the vertex points. + vertex the number of vertex points being assigned. + """ + + if self._ph is not None: + self.errcode = self._lib.EN_setvertices(self._ph, int(index), (c_double * vertex)(*x), + (c_double * vertex)(*y), vertex) + + else: + self.errcode = self._lib.ENsetvertices(int(index), (c_double * vertex)(*x), + (c_double * vertex)(*y), vertex) + + self.ENgeterror() + + def ENsolveH(self): + """ Runs a complete hydraulic simulation with results for all time periods + written to a temporary hydraulics file. + + ENsolveH() + + See also ENopenH, ENinitH, ENrunH, ENnextH, ENcloseH + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___hydraulics.html + """ + + if self._ph is not None: + self.errcode = self._lib.EN_solveH(self._ph) + + else: + self.errcode = self._lib.ENsolveH() + + self.ENgeterror() + return self.errcode + + def ENsolveQ(self): + """ Runs a complete water quality simulation with results at uniform reporting + intervals written to the project's binary output file. + + ENsolveQ() + + See also ENopenQ, ENinitQ, ENrunQ, ENnextQ, ENcloseQ + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___hydraulics.html""" + + if self._ph is not None: + self.errcode = self._lib.EN_solveQ(self._ph) + + else: + self.errcode = self._lib.ENsolveQ() + + self.ENgeterror() + return + + def ENstepQ(self): + """ Advances a water quality simulation by a single water quality time step. + + ENstepQ() + + Returns: + tleft time left (in seconds) to the overall simulation duration. + + See also ENrunQ, ENnextQ + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___hydraulics.html + """ + tleft = c_long() + + if self._ph is not None: + self.errcode = self._lib.EN_stepQ(self._ph, byref(tleft)) + + else: + self.errcode = self._lib.ENstepQ(byref(tleft)) + + self.ENgeterror() + return tleft.value + + def ENusehydfile(self, hydfname): + """ Uses a previously saved binary hydraulics file to supply a project's hydraulics. + + ENusehydfile(hydfname) + + Parameters: + hydfname the name of the binary file containing hydraulic results. + + OWA-EPANET Toolkit: http://wateranalytics.org/EPANET/group___hydraulics.html + """ + + if self._ph is not None: + self.errcode = self._lib.EN_usehydfile(self._ph, hydfname.encode("utf-8")) + + else: + self.errcode = self._lib.ENusehydfile(hydfname.encode("utf-8")) + + self.ENgeterror() + return + + def ENwriteline(self, line): + """ Writes a line of text to a project's report file. + + ENwriteline(line) + + Parameters: + line a text string to write. + """ + + if self._ph is not None: + self.errcode = self._lib.EN_writeline(self._ph, line.encode("utf-8")) + + else: + self.errcode = self._lib.ENwriteline(line.encode("utf-8")) + + self.ENgeterror() diff --git a/epyt/src/epanetconstants.py b/epyt/src/epanetconstants.py new file mode 100644 index 0000000..d6c4c67 --- /dev/null +++ b/epyt/src/epanetconstants.py @@ -0,0 +1,298 @@ +class EpanetConstants: + # Limits on the size of character arrays used to store ID names + # and text messages. + def __init__(self): + pass + + EN_MAXID = 31 + 1 # characters in ID name + EN_MAXMSG = 255 # characters in message text + + # Node parameters + EN_ELEVATION = 0 + EN_BASEDEMAND = 1 + EN_PATTERN = 2 + EN_EMITTER = 3 + EN_INITQUAL = 4 + EN_SOURCEQUAL = 5 + EN_SOURCEPAT = 6 + EN_SOURCETYPE = 7 + EN_TANKLEVEL = 8 + EN_DEMAND = 9 + EN_HEAD = 10 + EN_PRESSURE = 11 + EN_QUALITY = 12 + EN_SOURCEMASS = 13 + EN_INITVOLUME = 14 + EN_MIXMODEL = 15 + EN_MIXZONEVOL = 16 + EN_TANKDIAM = 17 + EN_MINVOLUME = 18 + EN_VOLCURVE = 19 + EN_MINLEVEL = 20 + EN_MAXLEVEL = 21 + EN_MIXFRACTION = 22 + EN_TANK_KBULK = 23 + EN_TANKVOLUME = 24 + EN_MAXVOLUME = 25 + EN_CANOVERFLOW = 26 + EN_DEMANDDEFICIT = 27 + EN_NODE_INCONTROL = 28 + EN_EMITTERFLOW = 29 + EN_LEAKAGEFLOW = 30 + EN_DEMANDFLOW = 31 + EN_FULLDEMAND = 32 + # Link parameters + EN_DIAMETER = 0 + EN_LENGTH = 1 + EN_ROUGHNESS = 2 + EN_MINORLOSS = 3 + EN_INITSTATUS = 4 + EN_INITSETTING = 5 + EN_KBULK = 6 + EN_KWALL = 7 + EN_FLOW = 8 + EN_VELOCITY = 9 + EN_HEADLOSS = 10 + EN_STATUS = 11 + EN_SETTING = 12 + EN_ENERGY = 13 + EN_LINKQUAL = 14 + EN_LINKPATTERN = 15 + EN_PUMP_STATE = 16 + EN_PUMP_EFFIC = 17 + EN_PUMP_POWER = 18 + EN_PUMP_HCURVE = 19 + EN_PUMP_ECURVE = 20 + EN_PUMP_ECOST = 21 + EN_PUMP_EPAT = 22 + EN_LINK_INCONTROL = 23 + EN_GPV_CURVE = 24 + EN_PCV_CURVE = 25 + EN_LEAK_AREA = 26 + EN_LEAK_EXPAN = 27 + EN_LINK_LEAKAGE = 28 + # Time parameters + EN_DURATION = 0 + EN_HYDSTEP = 1 + EN_QUALSTEP = 2 + EN_PATTERNSTEP = 3 + EN_PATTERNSTART = 4 + EN_REPORTSTEP = 5 + EN_REPORTSTART = 6 + EN_RULESTEP = 7 + EN_STATISTIC = 8 + EN_PERIODS = 9 + EN_STARTTIME = 10 + EN_HTIME = 11 + EN_QTIME = 12 + EN_HALTFLAG = 13 + EN_NEXTEVENT = 14 + EN_NEXTEVENTTANK = 15 + + # Component counts + EN_NODECOUNT = 0 + EN_TANKCOUNT = 1 + EN_LINKCOUNT = 2 + EN_PATCOUNT = 3 + EN_CURVECOUNT = 4 + EN_CONTROLCOUNT = 5 + EN_RULECOUNT = 6 + + # Node types + EN_JUNCTION = 0 + EN_RESERVOIR = 1 + EN_TANK = 2 + + # Link types + EN_CVPIPE = 0 + EN_PIPE = 1 + EN_PUMP = 2 + EN_PRV = 3 + EN_PSV = 4 + EN_PBV = 5 + EN_FCV = 6 + EN_TCV = 7 + EN_GPV = 8 + EN_PCV = 9 + + # Quality analysis types + EN_NONE = 0 + EN_CHEM = 1 + EN_AGE = 2 + EN_TRACE = 3 + + # Source quality types + EN_CONCEN = 0 + EN_MASS = 1 + EN_SETPOINT = 2 + EN_FLOWPACED = 3 + + # Flow units types + EN_CFS = 0 + EN_GPM = 1 + EN_MGD = 2 + EN_IMGD = 3 + EN_AFD = 4 + EN_LPS = 5 + EN_LPM = 6 + EN_MLD = 7 + EN_CMH = 8 + EN_CMD = 9 + EN_CMS = 10 + + # Pressure units type + EN_PSI = 0 + EN_KPA = 1 + EN_METERS = 2 + + EN_DDA = 0 # Demand driven analysis + EN_PDA = 1 # Pressure driven analysis + + # Option types + EN_TRIALS = 0 + EN_ACCURACY = 1 + EN_TOLERANCE = 2 + EN_EMITEXPON = 3 + EN_DEMANDMULT = 4 + EN_HEADERROR = 5 + EN_FLOWCHANGE = 6 + EN_HEADLOSSFORM = 7 + EN_GLOBALEFFIC = 8 + EN_GLOBALPRICE = 9 + EN_GLOBALPATTERN = 10 + EN_DEMANDCHARGE = 11 + EN_SP_GRAVITY = 12 + EN_SP_VISCOS = 13 + EN_UNBALANCED = 14 + EN_CHECKFREQ = 15 + EN_MAXCHECK = 16 + EN_DAMPLIMIT = 17 + EN_SP_DIFFUS = 18 + EN_BULKORDER = 19 + EN_WALLORDER = 20 + EN_TANKORDER = 21 + EN_CONCENLIMIT = 22 + EN_DEMANDPATTERN = 23 + EN_EMITBACKFLOW = 24 + EN_PRESS_UNITS = 25 + EN_STATUS_REPORT = 26 + + # Control types + EN_LOWLEVEL = 0 + EN_HILEVEL = 1 + EN_TIMER = 2 + EN_TIMEOFDAY = 3 + + # Time statistic types + EN_AVERAGE = 1 + EN_MINIMUM = 2 + EN_MAXIMUM = 3 + EN_RANGE = 4 + + # Tank mixing models + EN_MIX1 = 0 + EN_MIX2 = 1 + EN_FIFO = 2 + EN_LIFO = 3 + + # Save-results-to-file flag + EN_NOSAVE = 0 + EN_SAVE = 1 + EN_INITFLOW = 10 + EN_SAVE_AND_INIT = 11 + + EN_CONST_HP = 0 # Constant horsepower pump curve + EN_POWER_FUNC = 1 # Power function pump curve + EN_CUSTOM = 2 # User-defined custom pump curve + EN_NOCURVE = 3 # No pump curve + + EN_VOLUME_CURVE = 0 # Volume curve + EN_PUMP_CURVE = 1 # Pump curve + EN_EFFIC_CURVE = 2 # Efficiency curve + EN_HLOSS_CURVE = 3 # Head loss curve + EN_GENERIC_CURVE = 4 # Generic curve + EN_VALVE_CURVE = 5 # Valve position curve + + EN_UNCONDITIONAL = 0 # Unconditional object deletion + EN_CONDITIONAL = 1 + + EN_NO_REPORT = 0 # No status report + EN_NORMAL_REPORT = 1 # Normal status report + EN_FULL_REPORT = 2 # Full status report + + # ObjectType + EN_NODE = 0 + EN_LINK = 1 + EN_TIMEPAT = 2 + EN_CURVE = 3 + EN_CONTROL = 4 + EN_RULE = 5 + + # Head Loss Type + EN_HW = 0 + EN_DW = 1 + EN_CM = 2 + + # Network objects used in rule-based controls + EN_R_NODE = 6 + EN_R_LINK = 7 + EN_R_SYSTEM = 8 + + # Object variables used in rule-based controls. + EN_R_DEMAND = 0 + EN_R_HEAD = 1 + EN_R_GRADE = 2 + EN_R_LEVEL = 3 + EN_R_PRESSURE = 4 + EN_R_FLOW = 5 + EN_R_STATUS = 6 + EN_R_SETTING = 7 + EN_R_POWER = 8 + EN_R_TIME = 9 + EN_R_CLOCKTIME = 10 + EN_R_FILLTIME = 11 + EN_R_DRAINTIME = 12 + + # Analysis convergence statistics. + EN_ITERATIONS = 0 + EN_RELATIVEERROR = 1 + EN_MAXHEADERROR = 2 + EN_MAXFLOWCHANGE = 3 + EN_MASSBALANCE = 4 + EN_DEFICIENTNODES = 5 + EN_DEMANDREDUCTION = 6 + EN_LEAKAGELOSS = 7 + + # Link status codes used in rule-based controls + EN_R_IS_OPEN = 1 + EN_R_IS_CLOSED = 2 + EN_R_IS_ACTIVE = 3 + + EN_STEP_REPORT = 0 # Types of events that cause a timestep to end + EN_STEP_HYD = 1 + EN_STEP_WQ = 2 + EN_STEP_TANKEVENT = 3 + EN_STEP_CONTROLEVENT = 4 + + EN_MISSING = -1.0E10 + EN_SET_CLOSED = -1.0E10 + EN_SET_OPEN = 1.0E10 + + # MSX Constants + MSX_NODE = 0 + MSX_LINK = 1 + MSX_TANK = 2 + MSX_SPECIES = 3 + MSX_TERM = 4 + MSX_PARAMETER = 5 + MSX_CONSTANT = 6 + MSX_PATTERN = 7 + + MSX_BULK = 0 + MSX_WALL = 1 + + MSX_NOSOURCE = -1 + MSX_CONCEN = 0 + MSX_MASS = 1 + MSX_SETPOINT = 2 + MSX_FLOWPACED = 3 diff --git a/epyt/src/epanetmsxapi.py b/epyt/src/epanetmsxapi.py new file mode 100644 index 0000000..bc0650e --- /dev/null +++ b/epyt/src/epanetmsxapi.py @@ -0,0 +1,768 @@ +import os +import platform +import re +import warnings +from contextlib import suppress +from shutil import copy2 +from types import SimpleNamespace + +from epyt import __version__, __msxversion__, __lastupdate__, epyt_root + +from .epanet_cffi_compat import ffi, cdll, byref, create_string_buffer, c_uint64, c_void_p, c_int, c_double, c_float, \ + c_long, \ + c_char_p, funcptr_null + + +class epanetmsxapi: + """example msx = epanetmsxapi()""" + + def __init__(self, msxfile='', loadlib=True, ignore_msxfile=False, customMSXlib=None, display_msg=True, + msxrealfile=''): + self.display_msg = display_msg + self.customMSXlib = customMSXlib + if customMSXlib is not None: + self.MSXLibEPANET = customMSXlib + loadlib = False + self.msx_lib = cdll.LoadLibrary(self.MSXLibEPANET) + self.MSXLibEPANETPath = os.path.dirname(self.MSXLibEPANET) + self.msx_error = self.msx_lib.MSXgeterror + self.msx_error.argtypes = [c_int, c_char_p, c_int] + if loadlib: + ops = platform.system().lower() + if ops in ["windows"]: + self.MSXLibEPANET = os.path.join(epyt_root, os.path.join("libraries", "win", "epanetmsx.dll")) + elif ops in ["darwin"]: + self.MSXLibEPANET = os.path.join(epyt_root, os.path.join("libraries", "mac", "epanetmsx.dylib")) + else: + self.MSXLibEPANET = os.path.join(epyt_root, os.path.join("libraries", "glnx", "epanetmsx.so")) + + self.msx_lib = cdll.LoadLibrary(self.MSXLibEPANET) + self.MSXLibEPANETPath = os.path.dirname(self.MSXLibEPANET) + + self.msx_error = self.msx_lib.MSXgeterror + # self.msx_error.argtypes = [c_int, c_char_p, c_int] + + if not ignore_msxfile: + if msxrealfile == '': + self.MSXTempFile = msxfile[:-4] + '_temp.msx' + copy2(msxfile, self.MSXTempFile) + self.MSXopen(msxfile, self.MSXTempFile) + else: + self.MSXTempFile = msxfile + self.MSXopen(self.MSXTempFile, msxrealfile) + + def MSXopen(self, msxfile, msxrealfile=None, ignore_error=True): + """ + Open MSX file + filename - Arsenite.msx or use full path + + Example: + msx.MSXopen(filename) + msx.MSXopen(Arsenite.msx) + """ + if not os.path.exists(msxfile): + raise FileNotFoundError(f"File not found: ") + + if msxrealfile is None: + msxrealfile = msxfile + + if self.display_msg: + msxname = os.path.basename(msxrealfile) + if self.customMSXlib is None and ignore_error: + print(f"EPANET-MSX version {__msxversion__} loaded.") + + self.errcode = self.msx_lib.MSXopen(c_char_p(msxfile.encode('utf-8'))) + if self.errcode != 0: + if ignore_error: + self.MSXerror(self.errcode) + if self.errcode == 503: + if self.display_msg: + print("Error 503 may indicate a problem with the MSX file or the MSX library.") + else: + if self.display_msg: + print(f"MSX file {msxname}.msx loaded successfully.") + + def MSXclose(self): + """ Close .msx file + example : msx.MSXclose()""" + self.errcode = self.msx_lib.MSXclose() + if self.errcode != 0: + self.MSXerror(self.errcode) + return self.errcode + + def MSXerror(self, err_code): + """ Function that every other function uses in case of an error """ + errmsg = create_string_buffer(256) + self.msx_error(err_code, byref(errmsg), 256) + print(errmsg.value.decode()) + + def MSXgetindex(self, obj_type, obj_id): + """ Retrieves the number of objects of a specific type + MSXgetcount(obj_type, obj_id) + + Parameters: + obj_type: code type of object being sought and must be one of the following + pre-defined constants: + MSX_SPECIES (for a chemical species) the number 3 + MSX_CONSTANT (for a reaction constant) the number 6 + MSX_PARAMETER (for a reaction parameter) the number 5 + MSX_PATTERN (for a time pattern) the number 7 + + obj_id: string containing the object's ID name + Returns: + The index number (starting from 1) of object of that type with that specific name.""" + obj_type = c_int(obj_type) + # obj_id=c_char_p(obj_id) + index = c_int() + self.errcode = self.msx_lib.MSXgetindex(obj_type, obj_id.encode("utf-8"), byref(index)) + if self.errcode != 0: + Warning(self.MSXerror(self.errcode)) + return index.value + + def MSXgetID(self, obj_type, index, id_len=80): + """ Retrieves the ID name of an object given its internal + index number + msx.MSXgetID(obj_type, index, id_len) + print(msx.MSXgetID(3,1,8)) + + Parameters: + obj_type: type of object being sought and must be on of the + following pre-defined constants: + MSX_SPECIES (for chemical species) + MSX_CONSTANT(for reaction constant) + MSX_PARAMETER(for a reaction parameter) + MSX_PATTERN (for a time pattern) + + index: the sequence number of the object (starting from 1 + as listed in the MSX input file) + + id_len: the maximum number of characters that id can hold + + Returns: + id object's ID name""" + + obj_id = create_string_buffer(id_len + 1) + self.errcode = self.msx_lib.MSXgetID(obj_type, index, byref(obj_id), id_len) + if self.errcode != 0: + Warning(self.MSXerror(self.errcode)) + return obj_id.value.decode() + + def MSXgetIDlen(self, obj_type, index): + """Retrieves the number of characters in the ID name of an MSX + object given its internal index number + msx.MSXgetIDlen(obj_type, index) + print(msx.MSXgetIDlen(3,3)) + Parameters: + obj_type: type of object being sought and must be on of the + following pre-defined constants: + MSX_SPECIES (for chemical species) + MSX_CONSTANT(for reaction constant) + MSX_PARAMETER(for a reaction parameter) + MSX_PATTERN (for a time pattern) + + index: the sequence number of the object (starting from 1 + as listed in the MSX input file) + + Returns : the number of characters in the ID name of MSX object + + """ + len = c_int() + self.errcode = self.msx_lib.MSXgetIDlen(obj_type, index, byref(len)) + if self.errcode: + Warning(self.MSXerror(self.errcode)) + return len.value + + def MSXgetspecies(self, index): + """ Retrieves the attributes of a chemical species given its + internal index number + msx.MSXgetspecies(index) + msx.MSXgetspecies(1) + Parameters: + index : integer -> sequence number of the species + + Returns: + type : is returned with one of the following pre-defined constants: + MSX_BULK (defined as 0) for a bulk water species , or + MSX_WALL (defined as 1) for a pipe wall surface species + units: mass units that were defined for the species in question + atol : the absolute concentration tolerance defined for the species. + rtol : the relative concentration tolerance defined for the species. """ + type = c_int() + units = create_string_buffer(16) + atol = c_double() + rtol = c_double() + + self.errcode = self.msx_lib.MSXgetspecies( + index, byref(type), byref(units), byref(atol), byref(rtol)) + + if type.value == 0: + type = 'BULK' + elif type.value == 1: + type = 'WALL' + + if self.errcode: + Warning(self.MSXerror(self.errcode)) + return type, units.value.decode("utf-8"), atol.value, rtol.value + + def MSXgetcount(self, code): + """ Retrieves the number of objects of a specific type + MSXgetcount(code) + + Parameters: + code type of object being sought and must be one of the following + pre-defined constants: + MSX_SPECIES (for a chemical species) the number 3 + MSX_CONSTANT (for a reaction constant) the number 6 + MSX_PARAMETER (for a reaction parameter) the number 5 + MSX_PATTERN (for a time pattern) the number 7 + Returns: + The count number of object of that type. + """ + count = c_int() + self.errcode = self.msx_lib.MSXgetcount(code, byref(count)) + if self.errcode: + Warning(self.MSXerror(self.errcode)) + return count.value + + def MSXgetconstant(self, index): + """ Retrieves the value of a particular rection constant """ + """msx.MSXgetconstant(index) + msx.MSXgetconstant(1)""" + """" Parameters: + index : integer is the sequence number of the reaction + constant ( starting from 1 ) as it + appeared in the MSX input file + + Returns: value -> the value assigned to the constant. """ + value = c_double() + self.errcode = self.msx_lib.MSXgetconstant(index, byref(value)) + if self.errcode: + Warning(self.MSXerror(self.errcode)) + return value.value + + def MSXgetparameter(self, obj_type, index, param): + """Retrieves the value of a particular reaction parameter for a given + pipe + msx.MSXgetparameter(obj_type, index, param) + msx.MSXgetparameter(1,1,1) + Parameters: + obj_type: is type of object being queried and must be either: + MSX_NODE (defined as 0) for a node or + MSX_LINK(defined as 1) for alink + + index: is the internal sequence number (starting from 1) + assigned to the node or link + + param: the sequence number of the parameter (starting from 1 + as listed in the MSX input file) + + Returns: + value : the value assigned to the parameter for the node or link + of interest. """ + value = c_double() + self.errcode = self.msx_lib.MSXgetparameter(obj_type, index, param, byref(value)) + if self.errcode: + Warning(self.MSXerror(self.errcode)) + return value.value + + def MSXgetpatternlen(self, pattern_index): + """Retrieves the number of time periods within a source time pattern + + MSXgetpatternlen(pattern_index) + + Parameters: + pattern_index: the internal sequence number (starting from 1) + of the pattern as it appears in the MSX input file. + + Returns: + len: the number of time periods (and therefore number of multipliers) + that appear in the pattern.""" + len = c_int() + self.errcode = self.msx_lib.MSXgetpatternlen(pattern_index, byref(len)) + if self.errcode: + Warning(self.MSXerror(self.errcode)) + return len.value + + def MSXgetpatternvalue(self, pattern_index, period): + """ Retrieves the multiplier at a specific time period for a + given source time pattern + msx.MSXgetpatternvalue(pattern_index, period) + msx.MSXgetpatternvalue(1,1) + Parameters: + pattern_index: the internal sequence number(starting from 1) + of the pattern as it appears in the MSX input file + + period: the index of the time period (starting from 1) whose + multiplier is being sought """ + value = c_double() + self.errcode = self.msx_lib.MSXgetpatternvalue(pattern_index, period, byref(value)) + if self.errcode: + Warning(self.MSXerror(self.errcode)) + return value.value + + def MSXgetinitqual(self, obj_type, index, species): + """ Retrieves the intial concetration of a particular chemical species + assigned to a specific node or link of the pipe network + msx.MSXgetinitqual(obj_type, index) + msx.MSXgetinitqual(1,1,1) + Parameters: + + type : type of object being queeried and must be either: + MSX_NODE (defined as 0) for a node or , + MSX_LINK (defined as 1) for a link + + index : the internal sequence number (starting from 1) assigned + to the node or link + + species: the sequence number of the species (starting from 1) + + Returns: + value: the initial concetration of the species at the node or + link of interest.""" + value = c_double() + obj_type = c_int(obj_type) + species = c_int(species) + index = c_int(index) + self.errcode = self.msx_lib.MSXgetinitqual(obj_type, index, species, byref(value)) + if self.errcode: + Warning(self.MSXerror(self.errcode)) + return value.value + + def MSXgetsource(self, node_index, species_index): + """ Retrieves information on any external source of a particular + chemical species assigned to a specific node or link of the pipe + network. + msx.MSXgetsource(node_index, species_index) + msx.MSXgetsource(1,1) + + Parameters: + node_index: the internal sequence number (starting from 1) + assigned to the node of interest. + + species_index: the sequence number of the species of interest + (starting from 1 as listed in MSX input file) + Returns: + + type: the type of external source to be utilized and will be one of + the following predefined constants: + MSX_NOSOURCE (defined as -1) for no source + MSX_CONCEN (defined as 0) for a concetration sourc + MSX_MASS (defined as 1) for a mass booster source + MSX_SETPOINT (defined as 2) for a setpoint source + MSX_FLOWPACE (defined as 3) for a flow paced source + + level: the baseline concentration ( or mass flow rate) of the source) + + pat : the index of the time pattern used to add variability to the + the source's baseline level (and will be 0 if no pattern + was defined for the source) + """ + type = c_int() + level = c_double() + pattern = c_int() + node_index = c_int(node_index) + self.errcode = self.msx_lib.MSXgetsource(node_index, species_index, + byref(type), byref(level), byref(pattern)) + + if type.value == -1: + type = 'NOSOURCE' + elif type.value == 0: + type = 'CONCEN' + elif type.value == 1: + type = 'MASS' + elif type.value == 2: + type = 'SETPOINT' + elif type.value == 3: + type = 'FLOWPACED' + + if self.errcode: + Warning(self.MSXerror(self.errcode)) + + return type, level.value, pattern.value + + def MSXsaveoutfile(self, filename): + """ Saves water quality results computed for each node, link + and reporting time period to a named binary file. + msx.MSXsaveoutfile(filename) + msx.MSXsaveoufile(Arsenite.msx) + + Parameters: + filename: name of the permanent output results file""" + self.errcode = self.msx_lib.MSXsaveoutfile(filename.encode()) + if self.errcode: + Warning(self.MSXerror(self.errcode)) + + def MSXsavemsxfile(self, filename): + """ Saves the data associated with the current MSX project into a new + MSX input file + msx.MSXsavemsxfile(filename) + msx.MSXsavemsxfile(Arsenite.msx) + + Parameters: + filename: name of the file to which data are saved""" + self.errcode = self.msx_lib.MSXsavemsxfile(filename.encode()) + if self.errcode: + Warning(self.MSXerror(self.errcode)) + + def MSXsetconstant(self, index, value): + """ Assigns a new value to a specific reaction constant + msx.MSXsetconstant(index, value) + msx.MSXsetconstant(1,10)""" + """" Parameters + index : integer -> is the sequence number of the reaction + constant ( starting from 1 ) as it appeared in the MSX + input file + + Value: float -> the new value to be assigned to the constant.""" + + value = c_double(value) + self.errcode = self.msx_lib.MSXsetconstant(index, value) + if self.errcode: + Warning(self.MSXerror(self.errcode)) + + def MSXsetparameter(self, obj_type, index, param, value): + """ Assigns a value to a particular reaction parameter for a given pipe + or tank within the pipe network + msx.MSXsetparameter(obj_type, index, param, value) + msx.MSXsetparameter(1,1,1,15) + Parameters: + obj_type: is type of object being queried and must be either: + MSX_NODE (defined as 0) for a node or + MSX_LINK (defined as 1) for a link + + index: is the internal sequence number (starting from 1) + assigned to the node or link + + param: the sequence number of the parameter (starting from 1 + as listed in the MSX input file) + + value: the value to be assigned to the parameter for the node or + link of interest. """ + value = c_double(value) + self.errcode = self.msx_lib.MSXsetparameter(obj_type, index, param, value) + if self.errcode: + Warning(self.MSXerror(self.errcode)) + + def MSXsetinitqual(self, obj_type, index, species, value): + """ Assigns an initial concetration of a particular chemical species + node or link of the pipe network + msx.MSXsetinitqual(obj_type, index, species, value) + msx.MSXsetinitqual(1,1,1,15) + Parameters: + type: type of object being queried and must be either : + MSX_NODE(defined as 0) for a node or + MSX_LINK(defined as 1) for a link + index: integer -> the internal sequence number (starting from 1) + assigned to the node or link + + species: the sequence number of the species (starting from 1 as listed in + MASx input file) + + value: float -> the initial concetration of the species to be applied at the node or link + of interest. + """ + + value = c_double(value) + self.errcode = self.msx_lib.MSXsetinitqual(obj_type, index, species, value) + if self.errcode: + Warning(self.MSXerror(self.errcode)) + + def MSXsetpattern(self, index, factors, nfactors): + """Assigns a new set of multipliers to a given MSX source time pattern + MSXsetpattern(index,factors,nfactors) + + Parameters: + index: the internal sequence number (starting from 1) + of the pattern as it appers in the MSX input file + factors: an array of multiplier values to replace those previously used by + the pattern + nfactors: the number of entries in the multiplier array/ vector factors""" + if isinstance(index, int): + index = c_int(index) + nfactors = c_int(nfactors) + DoubleArray = c_double * len(factors) + mult_array = DoubleArray(*factors) + self.errcode = self.msx_lib.MSXsetpattern(index, mult_array, nfactors) + if self.errcode: + Warning(self.MSXerror(self.errcode)) + + def MSXsetpatternvalue(self, pattern, period, value): + """Assigns a new value to the multiplier for a specific time period + in a given MSX source time pattern. + msx.MSXsetpatternvalue(pattern, period, value) + msx.MSXsetpatternvalue(1,1,10) + Parameters: + pattern: the internal sequence number (starting from 1) of the + pattern as it appears in the MSX input file. + + period: the time period (starting from 1) in the pattern to be replaced + value: the new multiplier value to use for that time period.""" + value = c_double(value) + self.errcode = self.msx_lib.MSXsetpatternvalue(pattern, period, value) + if self.errcode: + Warning(self.MSXerror(self.errcode)) + + def MSXsolveQ(self): + """ Solves for water quality over the entire simulation period + and saves the results to an internal scratch file + msx.MSXsolveQ()""" + self.errcode = self.msx_lib.MSXsolveQ() + if self.errcode: + Warning(self.MSXerror(self.errcode)) + + def MSXsolveH(self): + """ Solves for system hydraulics over the entire simulation period + saving results to an internal scratch file + msx.MSXsolveH() """ + self.errcode = self.msx_lib.MSXsolveH() + if self.errcode: + Warning(self.MSXerror(self.errcode)) + + def MSXaddpattern(self, pattern_id): + """Adds a newm empty MSX source time pattern to an MSX project + MSXaddpattern(pattern_id) + Parameters: + pattern_id: the name of the new pattern """ + self.errcode = self.msx_lib.MSXaddpattern(pattern_id.encode("utf-8")) + if self.errcode: + Warning(self.MSXerror(self.errcode)) + + def MSXusehydfile(self, filename): + + """ Uses hyd file """ + err = self.msx_lib.MSXusehydfile(filename.encode()) + if err: + Warning(self.MSXerror(err)) + + def MSXstep(self): + """Advances the water quality solution through a single water quality time + step when performing a step-wise simulation + + t, tleft = MSXstep() + Returns: + t : current simulation time at the end of the step(in secconds) + tleft: time left in the simulation (in secconds) + """ + if platform.system().lower() in ["windows"]: + t = c_double() + tleft = c_double() + else: + t = c_double() + tleft = c_long() + self.errcode = self.msx_lib.MSXstep(byref(t), byref(tleft)) + + if self.errcode: + Warning(self.MSXerror(self.errcode)) + + return t.value, tleft.value + + def MSXinit(self, flag): + """Initialize the MSX system before solving for water quality results + in the step-wise fashion + + MSXinit(flag) + + Parameters: + flag: Set the flag to 1 if the water quality results should be saved + to a scratch binary file, or 0 if not + """ + self.errcode = self.msx_lib.MSXinit(flag) + if self.errcode: + Warning(self.MSXerror(self.errcode)) + + def MSXreport(self): + """ Writes water quality simulations results as instructed by + MSX input file to a text file. + msx.MSXreport()""" + self.errcode = self.msx_lib.MSXreport() + if self.errcode: + Warning(self.MSXerror(self.errcode)) + + def MSXgetqual(self, type, index, species): + """Retrieves a chemical species concentration at a given node + or the average concentration along a link at the current sumulation + time step. + + MSXgetqual(type, index, species) + + Parameters: + type: type of object being queried and must be either: + MSX_NODE ( defined as 0) for a node, + MSX_LINK (defined as 1) for a link + index: then internal sequence number (starting from 1) + assigned to the node or link. + species is the sequence number of the species (starting from 1 + as listed in the MSX input file) + + Returns: + The value of the computed concentration of the species at the current + time period. + """ + value = c_double() + self.errcode = self.msx_lib.MSXgetqual(type, index, species, byref(value)) + if self.errcode: + Warning(self.MSXerror(self.errcode)) + return value.value + + def MSXsetsource(self, node, species, type, level, pat): + """"Sets the attributes of an external source of particular chemical + species to specific node of the pipe network + msx.setsource(node, species, type, level, pat) + msx.MSXsetsource(1,1,3,10.565,1) + Parameters: + node: the internal sequence number (starting from1) assigned + to the node of interest. + + species: the sequence number of the species of interest (starting + from 1 as listed in the MSX input file) + + type: the type of external source to be utilized and will be one of + the following predefined constants: + MSX_NOSOURCE (defined as -1) for no source + MSX_CONCEN (defined as 0) for a concetration source + MSX_MASS (defined as 1) for a mass booster source + MSX_SETPOINT (defined as 2) for a setpoint source + MSX_FLOWPACE (defined as 3) for a flow paced source + + level: the baseline concetration (or mass flow rate) of the source + + pat: the index of the time pattern used to add variability to the + source's baseline level ( use 0 if the source has a constant strength) """ + level = c_double(level) + + pat = c_int(pat) + type = c_int(type) + self.errcode = self.msx_lib.MSXsetsource(node, species, type, level, pat) + if self.errcode: + Warning(self.MSXerror(self.errcode)) + + def MSXgeterror(self, err): + """Returns the text for an error message given its error code. + msx.MSXgeterror(err) + msx.MSXgeterror(516) + Parameters: + err: the code number of an error condition generated by EPANET-MSX + + Returns: + errmsg: the text of the error message corresponding to the error code""" + errmsg = create_string_buffer(80) + self.msx_lib.MSXgeterror(err, byref(errmsg), 80) + + # if e: + # # Warning(errmsg.value.decode()) + # print(f"{red}EPANET Error: {errmsg.value.decode()}{reset}") + return errmsg.value.decode() + + def MSXgetoptions(self): + """ Retrieves all the options. + # AREA_UNITS FT2/M2/CM2 + # RATE_UNITS SEC/MIN/HR/DAY + # SOLVER EUL/RK5/ROS2 + # COUPLING FULL/NONE + # TIMESTEP seconds + # ATOL value + # RTOL value + # COMPILER NONE/VC/GC + # SEGMENTS value + # PECLET value + """ + try: + # Key-value pairs to search for + keys = ["AREA_UNITS", "RATE_UNITS", "SOLVER", "COUPLING", "TIMESTEP", "ATOL", "RTOL", "COMPILER", + "SEGMENTS", \ + "PECLET"] + float_values = ["TIMESTEP", "ATOL", "RTOL", "SEGMENTS", "PECLET"] + values = {key: None for key in keys} + + # Flag to determine if we're in the [OPTIONS] section + in_options = False + + # Open and read the file + with open(self.MSXTempFile, 'r') as file: + for line in file: + # Check for [OPTIONS] section + if "[OPTIONS]" in line: + in_options = True + elif "[" in line and "]" in line: + in_options = False # We've reached a new section + + if in_options: + # Pattern to match the keys and extract values, ignoring comments and whitespace + pattern = re.compile(r'^\s*(' + '|'.join(keys) + r')\s+(.*?)\s*(?:;.*)?$') + match = pattern.search(line) + if match: + key, value = match.groups() + if key in float_values: + values[key] = float(value) + else: + values[key] = value + + return SimpleNamespace(**values) + except FileNotFoundError: + warnings.warn("Please load MSX File.") + return {} + + import os + from shutil import copy2 + from contextlib import suppress + + import os + import warnings + from shutil import copy2 + + def MSXsetoptions(self, param=None, change=None, **kwargs): + keys = { + "AREA_UNITS", "RATE_UNITS", "SOLVER", "COUPLING", "TIMESTEP", + "ATOL", "RTOL", "COMPILER", "SEGMENTS", "PECLET" + } + + updates = {} + if param is not None: + updates[str(param)] = change + updates.update(kwargs) + updates = {k: v for k, v in updates.items() if k in keys} + if not updates: + return 0 + + src = "options_section.msx" + tmp = "options_section_tmp.msx" + + try: + self.MSXsavemsxfile(src) + if not os.path.exists(src): + warnings.warn("Please load MSX File.") + return 0 + + with open(src, "r", encoding="utf-8") as f: + lines = f.readlines() + + try: + opt_i = next(i for i, l in enumerate(lines) if l.strip() == "[OPTIONS]") + except StopIteration: + lines.insert(0, "[OPTIONS]\n") + opt_i = 0 + + def set_or_insert(k, v): + nonlocal opt_i + idx = next((i for i, l in enumerate(lines) if l.strip().startswith(k)), -1) + line = f"{k}\t{v}\n" + if idx != -1: + lines[idx] = line + else: + lines.insert(opt_i + 1, line) + opt_i += 1 + + for k, v in updates.items(): + set_or_insert(k, v) + + with open(tmp, "w", encoding="utf-8") as f: + f.writelines(lines) + + copy2(tmp, self.MSXTempFile) + self.MSXopen(self.MSXTempFile, ignore_error=False) + + finally: + if os.path.exists(src): + os.remove(src) + if os.path.exists(tmp): + os.remove(tmp) diff --git a/epyt/src/epyt_enums.py b/epyt/src/epyt_enums.py new file mode 100644 index 0000000..08111a5 --- /dev/null +++ b/epyt/src/epyt_enums.py @@ -0,0 +1,35 @@ +class EpytEnums: + def __init__(self): + self.DEMANDMODEL = ['DDA', 'PDA'] + self.TYPELINK = ['CVPIPE', 'PIPE', 'PUMP', 'PRV', 'PSV', + 'PBV', 'FCV', 'TCV', 'GPV', 'PCV'] + self.TYPEMIXMODEL = ['MIX1', 'MIX2', 'FIFO', 'LIFO'] + self.TYPENODE = ['JUNCTION', 'RESERVOIR', 'TANK'] + self.TYPEPUMP = ['CONSTANT_HORSEPOWER', 'POWER_FUNCTION', 'CUSTOM', 'NO_CURVE'] + self.TYPEPUMPSTATE = ['XHEAD', '', 'CLOSED', 'OPEN', '', 'XFLOW'] + self.TYPEQUALITY = ['NONE', 'CHEM', 'AGE', 'TRACE', 'MULTIS'] + self.TYPESOURCE = ['CONCEN', 'MASS', 'SETPOINT', 'FLOWPACED'] + self.TYPESTATS = ['NONE', 'AVERAGE', 'MINIMUM', 'MAXIMUM', 'RANGE'] + self.TYPECONTROL = ['LOWLEVEL', 'HIGHLEVEL', 'TIMER', 'TIMEOFDAY'] + self.TYPEREPORT = ['YES', 'NO', 'FULL'] + self.TYPESTATUS = ['CLOSED', 'OPEN', 'ACTIVE'] + self.TYPECURVE = ['VOLUME', 'PUMP', 'EFFICIENCY', 'HEADLOSS', 'GENERAL', 'VALVE'] + self.TYPEHEADLOSS = ['HW', 'DW', 'CM'] + self.TYPEUNITS = ['CFS', 'GPM', 'MGD', 'IMGD', 'AFD', + 'LPS', 'LPM', 'MLD', 'CMH', 'CMD', 'CMS'] + self.TYPEBINSTATUS = ['CLOSED (MAX. HEAD EXCEEDED)', 'TEMPORARILY CLOSED', + 'CLOSED', 'OPEN', 'ACTIVE(PARTIALLY OPEN)', + 'OPEN (MAX. FLOW EXCEEDED', + 'OPEN (PRESSURE SETTING NOT MET)'] + self.RULESTATUS = ['OPEN', 'CLOSED', 'ACTIVE'] + self.LOGOP = ['IF', 'AND', 'OR'] + self.RULEOBJECT = ['NODE', 'LINK', 'SYSTEM'] + self.RULEVARIABLE = ['DEMAND', 'HEAD', 'GRADE', 'LEVEL', 'PRESSURE', 'FLOW', + 'STATUS', 'SETTING', 'POWER', 'TIME', + 'CLOCKTIME', 'FILLTIME', 'DRAINTIME'] + self.RULEOPERATOR = ['=', '~=', '<=', '>=', '<', '>', 'IS', + 'NOT', 'BELOW', 'ABOVE'] + + def as_dict(self): + # Return a dict of all list attributes. + return vars(self).copy() From 4cb14b4a16c559b5f3361f18826ce4464e90aa55 Mon Sep 17 00:00:00 2001 From: "Marios S. Kyriakou" Date: Wed, 4 Feb 2026 16:14:47 +0200 Subject: [PATCH 162/183] Create Net1broken.inp --- epyt/networks/asce-tf-wdst/Net1broken.inp | 182 ++++++++++++++++++++++ 1 file changed, 182 insertions(+) create mode 100644 epyt/networks/asce-tf-wdst/Net1broken.inp diff --git a/epyt/networks/asce-tf-wdst/Net1broken.inp b/epyt/networks/asce-tf-wdst/Net1broken.inp new file mode 100644 index 0000000..b1e73b9 --- /dev/null +++ b/epyt/networks/asce-tf-wdst/Net1broken.inp @@ -0,0 +1,182 @@ +[TITLE] + EPANET Example Network 1 +A simple example of modeling chlorine decay. Both bulk and +wall reactions are included. + +[JUNCTIONS] +;ID Elev Demand Pattern + 10 710 0 ; + 11 710 150 ; + 12 700 150 ; + 13 695 100 ; + 21 700 150 ; + 22 695 200 ; + 23 690 150 ; + 31 700 100 ; + 32 710 100 ; + +[RESERVOIRS] +;ID Head Pattern + 9 800 ; +[RESERVOIRS] +;ID Head Pattern + 2 800 ; + 2 800 ; + +[TANKS] +;ID Elevation InitLevel MinLevel MaxLevel Diameter MinVol VolCurve + 2 850 120 100 150 50.5 0 ; + +[PIPES] +;ID Node1 Node2 Length Diameter Roughness MinorLoss Status + 10 10 11 10530 18 100 0 Open ; + 11 11 12 5280 14 100 0 Open ; + 12 12 13 5280 10 100 0 Open ; + 21 21 22 5280 10 100 0 Open ; + 22 22 23 5280 12 100 0 Open ; + 31 31 32 5280 6 100 0 Open ; + 110 2 12 200 18 100 0 Open ; + 111 11 21 5280 10 100 0 Open ; + 112 12 22 5280 12 100 0 Open ; + 113 13 23 5280 8 100 0 Open ; + 121 21 31 5280 8 100 0 Open ; + 122 22 32 5280 6 100 0 Open ; + +[PUMPS] +;ID Node1 Node2 Parameters + 9 9 10 HEAD 1 ; + +[VALVES] +;ID Node1 Node2 Diameter Type Setting MinorLoss + +[TAGS] + +[DEMANDS] +;Junction Demand Pattern Category + +[STATUS] +;ID Status/Setting + +[PATTERNS] +;ID Multipliers +;Demand Pattern + 1 1.0 1.2 1.4 1.6 1.4 1.2 + 1 1.0 0.8 0.6 0.4 0.6 0.8 + +[CURVES] +;ID X-Value Y-Value +;PUMP: Pump Curve for Pump 9 + 1 1500 250 + +[CONTROLS] + LINK 9 OPEN IF NODE 2 BELOW 110 + LINK 9 CLOSED IF NODE 2 ABOVE 140 + + +[RULES] + +[ENERGY] + Global Efficiency 75 + Global Price 0.0 + Demand Charge 0.0 + +[EMITTERS] +;Junction Coefficient + +[QUALITY] +;Node InitQual + 10 0.5 + 11 0.5 + 12 0.5 + 13 0.5 + 21 0.5 + 22 0.5 + 23 0.5 + 31 0.5 + 32 0.5 + 9 1.0 + 2 1.0 + +[SOURCES] +;Node Type Quality Pattern + +[REACTIONS] +;Type Pipe/Tank Coefficient + + +[REACTIONS] + Order Bulk 1 + Order Tank 1 + Order Wall 1 + Global Bulk -.5 + Global Wall -1 + Limiting Potential 0.0 + Roughness Correlation 0.0 + +[MIXING] +;Tank Model + +[TIMES] + Duration 24:00 + Hydraulic Timestep 1:00 + Quality Timestep 0:05 + Pattern Timestep 2:00 + Pattern Start 0:00 + Report Timestep 1:00 + Report Start 0:00 + Start ClockTime 12 am + Statistic None + +[REPORT] + Status Yes + Summary No + Page 0 + +[OPTIONS] + Units GPM + Headloss H-W + Specific Gravity 1.0 + Viscosity 1.0 + Trials 40 + Accuracy 0.001 + CHECKFREQ 2 + MAXCHECK 10 + DAMPLIMIT 0 + Unbalanced Continue 10 + Pattern 1 + Demand Multiplier 1.0 + Emitter Exponent 0.5 + Quality Chlorine mg/L + Diffusivity 1.0 + Tolerance 0.01 + +[COORDINATES] +;Node X-Coord Y-Coord + 10 20.00 70.00 + 11 30.00 70.00 + 12 50.00 70.00 + 13 70.00 70.00 + 21 30.00 40.00 + 22 50.00 40.00 + 23 70.00 40.00 + 31 30.00 10.00 + 32 50.00 10.00 + 9 10.00 70.00 + 2 50.00 90.00 + +[VERTICES] +;Link X-Coord Y-Coord + +[LABELS] +;X-Coord Y-Coord Label & Anchor Node + 6.99 73.63 "Source" + 13.48 68.13 "Pump" + 43.85 91.21 "Tank" + +[BACKDROP] + DIMENSIONS 7.00 6.00 73.00 94.00 + UNITS None + FILE + OFFSET 0.00 0.00 + +[END] From b6764ff4b0e3d20f3ae503ed706b576f9a1f13cf Mon Sep 17 00:00:00 2001 From: "Marios S. Kyriakou" Date: Wed, 4 Feb 2026 16:15:10 +0200 Subject: [PATCH 163/183] Enhance Python examples: hydraulic, quality, MSX --- examples/python/EX1_Plot_network_topology.py | 2 +- examples/python/EX2_Hydraulic_analysis.py | 47 ++++++++++++-------- examples/python/EX3_Quality_analysis.py | 33 +++++++++++--- examples/python/EX_MSX_Options.py | 12 +++-- examples/python/EX_to_excel_json.py | 6 +-- 5 files changed, 69 insertions(+), 31 deletions(-) diff --git a/examples/python/EX1_Plot_network_topology.py b/examples/python/EX1_Plot_network_topology.py index af926fb..3a4614f 100644 --- a/examples/python/EX1_Plot_network_topology.py +++ b/examples/python/EX1_Plot_network_topology.py @@ -71,4 +71,4 @@ # Unload library d.plot_show() -d.unload() \ No newline at end of file +d.unload() diff --git a/examples/python/EX2_Hydraulic_analysis.py b/examples/python/EX2_Hydraulic_analysis.py index 94cf38b..26eae09 100644 --- a/examples/python/EX2_Hydraulic_analysis.py +++ b/examples/python/EX2_Hydraulic_analysis.py @@ -13,37 +13,33 @@ import time # Load a network. -d = epanet('ky10.inp') +d = epanet('L-TOWN.inp', loadfile=True) -# Set simulation time duration. -hrs = 50 -d.setTimeSimulationDuration(hrs * 3600) +## Set simulation time duration. +hrs = 100 +d.setTimeSimulationDuration(hrs*3600) -# Hydraulic analysis using epanet2.exe binary file. +# # Hydraulic analysis using epanet2.exe binary file. start_1 = time.time() hyd_res_1 = d.getComputedTimeSeries_ENepanet() stop_1 = time.time() -hyd_res_1.disp() +# hyd_res_1.disp() -# Hydraulic analysis using epanet2.exe binary file. +# # Hydraulic analysis using epanet2.exe binary file. start_2 = time.time() hyd_res_2 = d.getComputedTimeSeries() stop_2 = time.time() -hyd_res_2.disp() +# hyd_res_2.disp() # Hydraulic analysis using the functions ENopenH, ENinit, ENrunH, ENgetnodevalue/&ENgetlinkvalue, ENnextH, ENcloseH. # (This function contains events) start_3 = time.time() -hyd_res_3 = d.getComputedHydraulicTimeSeries() +hyd_res_3 = d.getComputedHydraulicTimeSeries(['flow', 'pressure']) stop_3 = time.time() -hyd_res_3.disp() +# hyd_res_3.disp() # Hydraulic analysis step-by-step using the functions ENopenH, ENinit, ENrunH, ENgetnodevalue/&ENgetlinkvalue, # ENnextH, ENcloseH. (This function contains events) -etstep = 3600 -d.setTimeReportingStep(etstep) -d.setTimeHydraulicStep(etstep) -d.setTimeQualityStep(etstep) start_4 = time.time() d.openHydraulicAnalysis() @@ -60,10 +56,24 @@ d.closeHydraulicAnalysis() stop_4 = time.time() -print(f'Pressure: {P}') -print(f'Demand: {D}') -print(f'Hydraulic Head {H}') -print(f'Flow {F}') +# print(f'Pressure: {P}') +# print(f'Demand: {D}') +# print(f'Hydraulic Head {H}') +# print(f'Flow {F}') + +# Using API functions +start_5 = time.time() +d.api.ENopenH() +d.api.ENinitH(d.ToolkitConstants.EN_NOSAVE) +tstep, P, T_H, F = 1, [], [], [] +while tstep > 0: + t = d.api.ENrunH() + P.append(d.api.ENgetnodevalues(d.ToolkitConstants.EN_PRESSURE)) + # F.append(d.api.ENgetlinkvalues(d.ToolkitConstants.EN_FLOW)) + T_H.append(t) + tstep = d.api.ENnextH() +d.api.ENcloseH() +stop_5 = time.time() # Unload library. d.unload() @@ -72,3 +82,4 @@ print(f'Elapsed time for the function `getComputedTimeSeries` is: {stop_2 - start_2:.8f}') print(f'Elapsed time for the function `getComputedHydraulicTimeSeries` is: {stop_3 - start_3:.8f}') print(f'Elapsed time for `step-by-step` analysis is: {stop_4 - start_4:.8f}') +print(f'Elapsed time for `API step-by-step` analysis is: {stop_5 - start_5:.8f}') diff --git a/examples/python/EX3_Quality_analysis.py b/examples/python/EX3_Quality_analysis.py index 9da7587..361225f 100644 --- a/examples/python/EX3_Quality_analysis.py +++ b/examples/python/EX3_Quality_analysis.py @@ -1,25 +1,28 @@ -""" This examples runs the quality analysis of a network. +""" This example runs the quality analysis of a network. - The example contains: + The example contains: Load a network. Run Water Quality analysis of a network. - Compute Quality step by step. + Compute Quality step by step. Unload library. - + Based on EX3_Quality_analysis.m of EPANET-Matlab-Toolkit: https://github.com/MariosDem/EPANET-Matlab-Toolkit/blob/master/examples/EX3_Quality_analysis.m - """ from epyt import epanet +import time # Load a network. d = epanet('Net2.inp') # Run Water Quality analysis of a network (This function contains events) +tic = time.perf_counter() qual_res = d.getComputedQualityTimeSeries() # Value x Node, Value x Link +toc = time.perf_counter() qual_res.disp() # Compute Quality step by step. +tic = time.perf_counter() d.solveCompleteHydraulics() d.openQualityAnalysis() d.initializeQualityAnalysis() @@ -33,8 +36,28 @@ tleft = d.stepQualityAnalysisTimeLeft() d.closeQualityAnalysis() +toc = time.perf_counter() + +# API: Compute Quality step by step. +tic = time.perf_counter() +d.api.ENsolveH() +d.api.ENopenQ() +d.api.ENinitQ(d.ToolkitConstants.EN_SAVE) +tleft, T, QsN, QsL = 1, [], [], [] +while tleft > 0: + t = d.api.ENrunQ() + QsN.append(d.api.ENgetnodevalues(d.ToolkitConstants.EN_QUALITY)) + QsL.append(d.api.ENgetlinkvalues(d.ToolkitConstants.EN_QUALITY)) + T.append(t) + tleft = d.api.ENstepQ() +d.api.ENcloseQ() +toc = time.perf_counter() d.printv(QsN) +print(f"getComputedQualityTimeSeries() runtime: {toc - tic:.6f} s") +print(f"Step-by-step (wrapper) runtime: {toc - tic:.6f} s") +print(f"Step-by-step (API) runtime: {toc - tic:.6f} s") + # Unload library d.unload() diff --git a/examples/python/EX_MSX_Options.py b/examples/python/EX_MSX_Options.py index 01a739e..e4eb888 100644 --- a/examples/python/EX_MSX_Options.py +++ b/examples/python/EX_MSX_Options.py @@ -1,8 +1,10 @@ from epyt import epanet, networks -import os -d = epanet('example.inp') -d.loadMSXFile('example.msx') +# Load example network +nets = networks.inp_files() +msx_nets = networks.msx_files() +d = epanet(nets.example) # example.inp +d.loadMSXFile(msx_nets.example) # example.msx a = d.getMSXOptions() # AREA_UNITS FT2/M2/CM2 @@ -70,4 +72,6 @@ d.printv(d.getMSXRateUnits()) d.setMSXRateUnitsDAY() -d.printv(d.getMSXRateUnits()) \ No newline at end of file +d.printv(d.getMSXRateUnits()) + +print(d.MSXTempFile) \ No newline at end of file diff --git a/examples/python/EX_to_excel_json.py b/examples/python/EX_to_excel_json.py index dcf6a20..7a5ac09 100644 --- a/examples/python/EX_to_excel_json.py +++ b/examples/python/EX_to_excel_json.py @@ -17,11 +17,11 @@ """ from epyt import epanet -# Load network -d = epanet("Net1.inp") +# Load network +d = epanet("Net1.inp") -# Run complete analysis +# Run complete analysis comp_values = d.getComputedTimeSeries() # Display all values From 48977ed055209f3f65ed36e29642e67f94753106 Mon Sep 17 00:00:00 2001 From: "Marios S. Kyriakou" Date: Wed, 4 Feb 2026 16:19:11 +0200 Subject: [PATCH 164/183] Add cffi to requirements --- requirements.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/requirements.txt b/requirements.txt index b11249e..8679a4b 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,3 +1,4 @@ +cffi>=2.0.0 numpy>=1.24.4 matplotlib>=3.7.5 pandas>=2.0.3 From 9cc4d8de0d346564882673d1aa1a43d58cf314b5 Mon Sep 17 00:00:00 2001 From: "Marios S. Kyriakou" Date: Wed, 4 Feb 2026 16:37:18 +0200 Subject: [PATCH 165/183] Bump Python support to 3.9-3.14 and pin deps --- .github/workflows/build_tests.yml | 2 +- setup.py | 6 +++--- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/.github/workflows/build_tests.yml b/.github/workflows/build_tests.yml index 2f16267..5d724d0 100644 --- a/.github/workflows/build_tests.yml +++ b/.github/workflows/build_tests.yml @@ -8,7 +8,7 @@ jobs: strategy: matrix: os: [ubuntu-latest, macos-latest, windows-latest] - python-version: ["3.8", "3.9", "3.10", "3.11", "3.12", "3.13"] + python-version: ["3.9", "3.10", "3.11", "3.12", "3.13", "3.14"] steps: - uses: actions/checkout@v4 diff --git a/setup.py b/setup.py index 8324dde..2e55584 100644 --- a/setup.py +++ b/setup.py @@ -55,19 +55,19 @@ def read_version_from_init(file_path="epyt/__init__.py"): packages=packages, keywords='epanet, water, networks, hydraulics, quality, simulations, emt, epanet matlab toolkit', classifiers=[ - 'Programming Language :: Python :: 3.8', 'Programming Language :: Python :: 3.9', 'Programming Language :: Python :: 3.10', 'Programming Language :: Python :: 3.11', 'Programming Language :: Python :: 3.12', 'Programming Language :: Python :: 3.13', + 'Programming Language :: Python :: 3.14', 'Programming Language :: Python', 'License :: OSI Approved :: European Union Public Licence 1.2 ' '(EUPL 1.2)', 'Operating System :: OS Independent', ], - python_requires=">=3.8", + python_requires=">=3.9", package_data={f'{module_name}': data}, - install_requires=['numpy', 'matplotlib', 'pandas', 'xlsxwriter', 'setuptools'], + install_requires=['cffi>=2.0.0', 'numpy>=1.24.4', 'matplotlib>=3.7.5', 'pandas>=2.0.3', 'XlsxWriter>=3.2.0', 'setuptools'], include_package_data=True ) From 3599e7a431c446e829ce54a383d3d86c91e5a1d2 Mon Sep 17 00:00:00 2001 From: "Marios S. Kyriakou" Date: Wed, 4 Feb 2026 16:50:20 +0200 Subject: [PATCH 166/183] Refactor imports, update examples, remove INP file --- epyt/epanet.py | 13 +- examples/python/EX4_Plot_time_series.py | 12 +- ...e_example_getLinkFlows_vs_getLinkValues.py | 81 -------- examples/python/example2.inp | 123 ------------ examples/python/net1_overflow.inp | 183 ------------------ 5 files changed, 13 insertions(+), 399 deletions(-) delete mode 100644 examples/python/EX_performance_example_getLinkFlows_vs_getLinkValues.py delete mode 100644 examples/python/example2.inp delete mode 100644 examples/python/net1_overflow.inp diff --git a/epyt/epanet.py b/epyt/epanet.py index 438ff30..a26f602 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -70,15 +70,14 @@ import sys import traceback import warnings +from contextlib import suppress from datetime import datetime, timezone from functools import partial, lru_cache - -from .src.epanet_cffi_compat import cdll, byref, create_string_buffer, c_char_p - from inspect import getmembers, isfunction, currentframe, getframeinfo from pathlib import Path from shutil import copy2 -from contextlib import suppress +import glob +from .src.epanet_cffi_compat import cdll, byref, create_string_buffer, c_char_p try: import matplotlib as mpl @@ -421,7 +420,7 @@ def __init__(self, *argv, version=2.2, ph=False, loadfile=False, customlib=None, self.customlib = customlib self.MSXFile = None self.MSXTempFile = None - + # Enums self.type_lists = EpytEnums() for attr, value in self.type_lists.as_dict().items(): @@ -2078,7 +2077,7 @@ def getComputedHydraulicTimeSeries(self, *argv): ) find_pumps = idx == self.ToolkitConstants.EN_PUMP pumpcount = np.count_nonzero(find_pumps) - valvecount = nLinks - pumpcount - pipecount + valvecount = nLinks - pumpcount - pipecount tankrescount = self.api.ENgetcount(self.ToolkitConstants.EN_TANKCOUNT) junctioncount = nNodes - tankrescount rescount = np.count_nonzero(idx == self.ToolkitConstants.EN_RESERVOIR) @@ -2098,7 +2097,7 @@ def getComputedHydraulicTimeSeries(self, *argv): value.Head[k] = self.api.ENgetnodevalues(self.ToolkitConstants.EN_HEAD) if 'tankvolume' in attrs: # Optimize: create array once instead of concatenating - num_non_tanks = junctioncount + rescount + num_non_tanks = junctioncount + rescount tank_volumes = self.getNodeTankVolume() value.TankVolume[k] = np.concatenate((np.zeros(num_non_tanks), tank_volumes)) if 'flow' in attrs: diff --git a/examples/python/EX4_Plot_time_series.py b/examples/python/EX4_Plot_time_series.py index b7f229f..1eadcc0 100644 --- a/examples/python/EX4_Plot_time_series.py +++ b/examples/python/EX4_Plot_time_series.py @@ -13,7 +13,7 @@ from epyt import epanet # Load a network -d = epanet('Net1.inp') +d = epanet('Net1.inp', loadfile=True) # Close any open figures d.plot_close() @@ -25,13 +25,15 @@ # Change time-stamps from seconds to hours hrs_time = hyd_res.Time / 3600 -# Plot node pressures for specific nodes +units = d.getUnits() + +# Plot node pressures for specific nodes node_indices = [1, 3, 5] node_names = d.getNodeNameID(node_indices) for index in node_indices: d.plot_ts(X=hrs_time, Y=hyd_res.Pressure[:, index - 1], title=f'Pressure for the node id {d.getNodeNameID(index)}', - xlabel='Time (hrs)', ylabel=f'Pressure ({d.units.NodePressureUnits})', + xlabel='Time (hrs)', ylabel=f'Pressure ({units.NodePressureUnits})', marker=None) # Plot water velocity for specific links @@ -40,7 +42,7 @@ for index in link_indices: d.plot_ts(X=hrs_time, Y=hyd_res.Velocity[:, index - 1], title=f'Velocity for the link id {d.getLinkNameID(index)}', - xlabel='Time (hrs)', ylabel=f'Velocity ({d.units.LinkVelocityUnits})', + xlabel='Time (hrs)', ylabel=f'Velocity ({units.LinkVelocityUnits})', marker=None) # Plot water flow for specific links @@ -48,7 +50,7 @@ for index in link_indices: d.plot_ts(X=hrs_time, Y=hyd_res.Flow[:, index - 1], title=f'Flow for the link id {d.getLinkNameID(index)}', - xlabel='Time (hrs)', ylabel=f'Flow ({d.units.LinkFlowUnits})', + xlabel='Time (hrs)', ylabel=f'Flow ({units.LinkFlowUnits})', marker=None) d.plot_show() diff --git a/examples/python/EX_performance_example_getLinkFlows_vs_getLinkValues.py b/examples/python/EX_performance_example_getLinkFlows_vs_getLinkValues.py deleted file mode 100644 index 4e8b853..0000000 --- a/examples/python/EX_performance_example_getLinkFlows_vs_getLinkValues.py +++ /dev/null @@ -1,81 +0,0 @@ -from epyt import epanet -import time - -""" - Performance Example Summary: - -Objective: - - To compare the execution speed of two functions, getLinkFlows vs. getLinkValues. - -Criteria: - - The main criterion for comparison was speed. - Both functions were tested under the same simulation conditions. - -Test Setup: - - The simulation was designed to extract link flow values: - getLinkFlows: Extracts flows for all links - 1. - getLinkValues: Extracts the flow values for all links. - -Results: - - getLinkFlows: Extracted fewer values (flows set to -1). - getLinkValues: Extracted all actual flow values for each link, - processing more data than getLinkFlows. - Despite extracting more data, getLinkValues performed faster than getLinkFlows. - -Conclusion: - - The function getLinkValues was more efficient in terms of speed, - even though it processed and returned more values compared to getLinkFlows. -""" - - - -inp= "Net1.inp" -d = epanet(inp) - -d.setTimeSimulationDuration(1000*3600*24) -start_time = time.time() -d.openHydraulicAnalysis() -d.initializeHydraulicAnalysis() -numbers = [i for i in range(1, 13)] -tstep = 1 -T_H, Ft, Fb = [], [], [] -while tstep > 0: - t = d.runHydraulicAnalysis() - #flow test - Fb.append(d.getLinkFlows(numbers)) - T_H.append(t) - tstep = d.nextHydraulicAnalysisStep() - -d.closeHydraulicAnalysis() -print(Fb) -end_time = time.time() -timeforold = end_time - start_time -print(f"Time taken by old function: {timeforold} seconds") -d.unload() - -d = epanet(inp) -start_time = time.time() - -d.openHydraulicAnalysis() -d.initializeHydraulicAnalysis() - -tstep = 1 -T_H, Ft, Fb = [], [], [] -while tstep > 0: - t = d.runHydraulicAnalysis() - #flow test - Ft.append(d.getLinkValues(d.ToolkitConstants.EN_FLOW)) - T_H.append(t) - tstep = d.nextHydraulicAnalysisStep() - -d.closeHydraulicAnalysis() -print(Ft) -end_time = time.time() -timefornew = end_time - start_time -print(f"Time taken by newfunction: {timefornew} seconds") -print(f"The new function is faster by {timeforold-timefornew} seconds") \ No newline at end of file diff --git a/examples/python/example2.inp b/examples/python/example2.inp deleted file mode 100644 index 2bf4733..0000000 --- a/examples/python/example2.inp +++ /dev/null @@ -1,123 +0,0 @@ -[TITLE] - -[JUNCTIONS] - J1 700.0000 - J2 710.0000 - J3 710.0000 - -[RESERVOIRS] - R1 650.0000 - -[TANKS] - T1 850.0000 120.0000 100.0000 150.0000 50.5000 1902813.5831 - -[PIPES] - P1 J1 J2 10560.0000 12.0000 100.0000 0.0000 - P2 J1 T1 5280.0000 14.0000 100.0000 0.0000 - P3 J1 J3 5280.0000 14.0000 100.0000 0.0000 - P4 J2 J3 5280.0000 14.0000 100.0000 0.0000 - -[PUMPS] - PUMP R1 J1 HEAD C1 - -[VALVES] - -[DEMANDS] - J1 0.000000 - J2 250.000000 - J3 500.000000 - -[EMITTERS] - -[STATUS] - -[PATTERNS] - -[CURVES] - C1 1500.0000 250.0000 - -[CONTROLS] - -[RULES] - -[QUALITY] - -[SOURCES] - -[MIXING] - T1 MIXED 0.0050 - -[REACTIONS] - ORDER BULK 1.00 - ORDER WALL 1 - ORDER TANK 1.00 - GLOBAL BULK 0.000000 - GLOBAL WALL 0.000000 - -[ENERGY] - GLOBAL EFFIC 75.0000 - DEMAND CHARGE 0.0000 - -[TIMES] - DURATION 0:00:00 - HYDRAULIC TIMESTEP 1:00:00 - QUALITY TIMESTEP 0:06:00 - REPORT TIMESTEP 1:00:00 - REPORT START 0:00:00 - PATTERN TIMESTEP 1:00:00 - PATTERN START 0:00:00 - RULE TIMESTEP 0:06:00 - START CLOCKTIME 0:00:00 - STATISTIC NONE - -[OPTIONS] - UNITS GPM - PRESSURE PSI - HEADLOSS H-W - UNBALANCED STOP - QUALITY NONE - DEMAND MULTIPLIER 1.0000 - EMITTER EXPONENT 0.5000 - VISCOSITY 1.000000 - DIFFUSIVITY 1.000000 - SPECIFIC GRAVITY 1.000000 - TRIALS 200 - ACCURACY 0.00100000 - TOLERANCE 0.01000000 - CHECKFREQ 2 - MAXCHECK 10 - DAMPLIMIT 0.00000000 - -[REPORT] - PAGESIZE 0 - STATUS NO - SUMMARY YES - ENERGY NO - MESSAGES YES - NODES NONE - LINKS NONE - Elevation NO - Demand PRECISION 2 - Head PRECISION 2 - Pressure PRECISION 2 - Quality PRECISION 2 - Length NO - Diameter NO - Flow PRECISION 2 - Velocity PRECISION 2 - Headloss PRECISION 2 - Quality NO - State NO - Setting NO - Reaction NO - -[COORDINATES] - J1 0.000000 0.000000 - J2 0.000000 -100.000000 - J3 100.000000 0.000000 - R1 -100.000000 0.000000 - T1 0.000000 60.000000 - -[VERTICES] - -[END] diff --git a/examples/python/net1_overflow.inp b/examples/python/net1_overflow.inp deleted file mode 100644 index 4538448..0000000 --- a/examples/python/net1_overflow.inp +++ /dev/null @@ -1,183 +0,0 @@ -[TITLE] - EPANET Example Network 1 -A simple example of modeling chlorine decay. Both bulk and -wall reactions are included. - -[JUNCTIONS] - 10 710.0000 - 11 710.0000 - 12 700.0000 - 13 695.0000 - 21 700.0000 - 22 695.0000 - 23 690.0000 - 31 700.0000 - 32 710.0000 - -[RESERVOIRS] - 9 800.0000 - -[TANKS] - 2 850.0000 130.0000 100.0000 130.0000 50.5000 200296.1666 * YES - -[PIPES] - 10 10 11 10530.0000 18.0000 100.0000 0.0000 - 11 11 12 5280.0000 14.0000 100.0000 0.0000 - 12 12 13 5280.0000 10.0000 100.0000 0.0000 - 21 21 22 5280.0000 10.0000 100.0000 0.0000 - 22 22 23 5280.0000 12.0000 100.0000 0.0000 - 31 31 32 5280.0000 6.0000 100.0000 0.0000 - 110 2 12 200.0000 18.0000 100.0000 0.0000 - 111 11 21 5280.0000 10.0000 100.0000 0.0000 - 112 12 22 5280.0000 12.0000 100.0000 0.0000 - 113 13 23 5280.0000 8.0000 100.0000 0.0000 - 121 21 31 5280.0000 8.0000 100.0000 0.0000 - 122 22 32 5280.0000 6.0000 100.0000 0.0000 - -[PUMPS] - 9 9 10 HEAD 1 - -[VALVES] - -[DEMANDS] - 10 0.000000 1 - 11 150.000000 1 - 12 150.000000 1 - 13 100.000000 1 - 21 150.000000 1 - 22 200.000000 1 - 23 150.000000 1 - 31 100.000000 1 - 32 100.000000 1 - -[EMITTERS] - -[STATUS] - -[PATTERNS] -;Demand Pattern - 1 1.0000 1.2000 1.4000 1.6000 1.4000 1.2000 - 1 1.0000 0.8000 0.6000 0.4000 0.6000 0.8000 - -[CURVES] -;PUMP: Pump Curve for Pump 9 - 1 1500.0000 250.0000 - -[CONTROLS] - LINK 9 1.0000 IF NODE 2 BELOW 110.0000 - LINK 9 0.0000 IF NODE 2 ABOVE 140.0000 - -[RULES] - -[QUALITY] - 10 0.500000 - 11 0.500000 - 12 0.500000 - 13 0.500000 - 21 0.500000 - 22 0.500000 - 23 0.500000 - 31 0.500000 - 32 0.500000 - 9 1.000000 - 2 1.000000 - -[SOURCES] - -[MIXING] - 2 MIXED 1.0000 - -[REACTIONS] - ORDER BULK 1.00 - ORDER WALL 1 - ORDER TANK 1.00 - GLOBAL BULK -0.500000 - GLOBAL WALL -1.000000 - -[ENERGY] - GLOBAL EFFIC 75.0000 - DEMAND CHARGE 0.0000 - -[TIMES] - DURATION 1:00:00 - HYDRAULIC TIMESTEP 1:00:00 - QUALITY TIMESTEP 0:05:00 - REPORT TIMESTEP 1:00:00 - REPORT START 0:00:00 - PATTERN TIMESTEP 2:00:00 - PATTERN START 0:00:00 - RULE TIMESTEP 0:06:00 - START CLOCKTIME 0:00:00 - STATISTIC NONE - -[OPTIONS] - UNITS GPM - PRESSURE PSI - HEADLOSS H-W - UNBALANCED CONTINUE 10 - QUALITY Chlorine mg/L - DEMAND MULTIPLIER 1.0000 - EMITTER EXPONENT 0.5000 - VISCOSITY 1.000000 - DIFFUSIVITY 1.000000 - SPECIFIC GRAVITY 1.000000 - TRIALS 40 - ACCURACY 0.00100000 - TOLERANCE 0.01000000 - CHECKFREQ 2 - MAXCHECK 10 - DAMPLIMIT 0.00000000 - -[REPORT] - PAGESIZE 0 - STATUS YES - SUMMARY NO - ENERGY NO - MESSAGES YES - NODES NONE - LINKS NONE - Elevation NO - Demand PRECISION 2 - Head PRECISION 2 - Pressure PRECISION 2 - Quality PRECISION 2 - Length NO - Diameter NO - Flow PRECISION 2 - Velocity PRECISION 2 - Headloss PRECISION 2 - Quality NO - State NO - Setting NO - Reaction NO - -[COORDINATES] - 10 20.000000 70.000000 - 11 30.000000 70.000000 - 12 50.000000 70.000000 - 13 70.000000 70.000000 - 21 30.000000 40.000000 - 22 50.000000 40.000000 - 23 70.000000 40.000000 - 31 30.000000 10.000000 - 32 50.000000 10.000000 - 9 10.000000 70.000000 - 2 50.000000 90.000000 - -[VERTICES] - -[TAGS] - -[LABELS] -;X-Coord Y-Coord Label & Anchor Node - 6.99 73.63 "Source" - 13.48 68.13 "Pump" - 43.85 91.21 "Tank" - -[BACKDROP] - DIMENSIONS 7.00 6.00 73.00 94.00 - UNITS None - FILE - OFFSET 0.00 0.00 - -[END] From be6555b30ec5061822527271f58ba72d371bf494 Mon Sep 17 00:00:00 2001 From: "Marios S. Kyriakou" Date: Wed, 4 Feb 2026 19:10:48 +0200 Subject: [PATCH 167/183] Refactor EPANET API usage and simplify loops --- epyt/epanet.py | 55 +++++++++++++++++++------------------------------- 1 file changed, 21 insertions(+), 34 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index a26f602..b5028f6 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -58,6 +58,7 @@ implied. See the Licence for the specific language governing permissions and limitations under the Licence. """ +import glob import json import math import os @@ -76,7 +77,7 @@ from inspect import getmembers, isfunction, currentframe, getframeinfo from pathlib import Path from shutil import copy2 -import glob + from .src.epanet_cffi_compat import cdll, byref, create_string_buffer, c_char_p try: @@ -423,8 +424,7 @@ def __init__(self, *argv, version=2.2, ph=False, loadfile=False, customlib=None, # Enums self.type_lists = EpytEnums() - for attr, value in self.type_lists.as_dict().items(): - setattr(self, attr, value) + self.__dict__.update(self.type_lists.as_dict()) # Initial attributes self.classversion = __version__ @@ -433,6 +433,7 @@ def __init__(self, *argv, version=2.2, ph=False, loadfile=False, customlib=None, if self.display_msg and self.customlib is None: print(f'EPANET version {self.getVersion()} ' f'loaded (EPyT version v{self.classversion} - Last Update: {__lastupdate__}).') + print('Publication DOI: https://zenodo.org/records/18484878'); # ToolkitConstants: Contains all parameters from epanet2_2.h self.ToolkitConstants = EpanetConstants() @@ -474,7 +475,11 @@ def __init__(self, *argv, version=2.2, ph=False, loadfile=False, customlib=None, copy2(self.InputFile, self.TempInpFile) - self.api.ENopenX(self.TempInpFile, self.RptTempfile, self.BinTempfile) + if ph: + self.api.ENopenX(self.TempInpFile, self.RptTempfile, self.BinTempfile) + else: + self.api.ENopen(self.TempInpFile, self.RptTempfile, self.BinTempfile) + if (self.api.errcode >= 200 and self.api.errcode < 300): self.api.ENclose() # close the file and fetch report contents with open(self.RptTempfile, "r") as f: @@ -2081,10 +2086,8 @@ def getComputedHydraulicTimeSeries(self, *argv): tankrescount = self.api.ENgetcount(self.ToolkitConstants.EN_TANKCOUNT) junctioncount = nNodes - tankrescount rescount = np.count_nonzero(idx == self.ToolkitConstants.EN_RESERVOIR) - dur = self.api.ENgettimeparam(self.ToolkitConstants.EN_DURATION) k, tstep = 1, 1 - t = 0 - while tstep > 0 and (t != dur): + while tstep > 0: t = self.api.ENrunH() value.Time.append(t) if 'pressure' in attrs: @@ -2194,18 +2197,16 @@ def getComputedQualityTimeSeries(self, *argv): value = EpytValues() if not self.api.solve: - self.solveCompleteHydraulics() + self.api.ENsolveH() self.api.solve = 1 - self.openQualityAnalysis() - self.initializeQualityAnalysis() + self.api.ENopenQ() + self.api.ENinitQ(self.ToolkitConstants.EN_SAVE) if len(argv) == 0: attrs = ['time', 'nodequality', 'linkquality', 'mass'] - sensing_indices = None else: attrs = argv[0] - sensing_indices = argv[1] if len(argv) > 1 else None attrs = [a.lower() for a in attrs] @@ -2219,42 +2220,28 @@ def getComputedQualityTimeSeries(self, *argv): if 'demand' in attrs: value.Demand = {} - if 'qualitysensingnodes' in attrs: - if sensing_indices is None: - raise ValueError("Provide sensing node indices as the second argument for 'qualitySensingNodes'.") - value.QualitySensingNodes = {} - value.SensingNodesIndices = sensing_indices - - if 'demandsensingnodes' in attrs: - if sensing_indices is None: - raise ValueError("Provide sensing node indices as the second argument for 'demandSensingNodes'.") - value.DemandSensingNodes = {} - value.SensingNodesIndices = sensing_indices - - sim_duration = self.getTimeSimulationDuration() + sim_duration = self.api.ENgettimeparam(self.ToolkitConstants.EN_DURATION) k = 1 - t = 0 tleft = 1 - - while tleft > 0 and t < sim_duration: - t = self.runQualityAnalysis() + while tleft > 0: + t = self.api.ENrunQ() value.Time.append(t) if 'nodequality' in attrs: - value.NodeQuality[k] = self.getNodeActualQuality() + value.NodeQuality[k] = self.api.ENgetnodevalues(self.ToolkitConstants.EN_QUALITY) if 'linkquality' in attrs: - value.LinkQuality[k] = self.getLinkActualQuality() + value.LinkQuality[k] = self.api.ENgetlinkvalues(self.ToolkitConstants.EN_QUALITY) if 'mass' in attrs: - value.MassFlowRate[k] = self.getNodeMassFlowRate() + value.MassFlowRate[k] = self.api.ENgetnodevalues(self.ToolkitConstants.EN_SOURCEMASS) if 'demand' in attrs: - value.Demand[k] = self.getNodeActualDemand() + value.Demand[k] = self.api.ENgetnodevalues(self.ToolkitConstants.EN_DEMAND) if t < sim_duration: tleft = self.stepQualityAnalysisTimeLeft() k += 1 - self.closeQualityAnalysis() + self.api.ENcloseQ() value.Time = np.array(value.Time) From 67fbae86929c4b2f686403fde3a9a96c255a9043 Mon Sep 17 00:00:00 2001 From: "Marios S. Kyriakou" Date: Wed, 4 Feb 2026 19:12:02 +0200 Subject: [PATCH 168/183] Update Python examples for API and formatting --- examples/python/EX5_Plot_values_parameters.py | 4 +- examples/python/EX6_load_two_inp_files.py | 2 +- examples/python/EX7_Set_Pump_Curves.py | 4 +- examples/python/EX9_compare_simulations.py | 58 ++++++++++++------- 4 files changed, 42 insertions(+), 26 deletions(-) diff --git a/examples/python/EX5_Plot_values_parameters.py b/examples/python/EX5_Plot_values_parameters.py index 659a333..b322322 100644 --- a/examples/python/EX5_Plot_values_parameters.py +++ b/examples/python/EX5_Plot_values_parameters.py @@ -12,7 +12,7 @@ from epyt import epanet # Load Network Net1 -d = epanet('Net1.inp') +d = epanet('Net1.inp', loadfile=True) # Close any open figures d.plot_close() @@ -22,7 +22,7 @@ d.plot(node_values=Elevations, colorbar='Oranges') # Plot Pressure at hour 10 -res = d.getComputedTimeSeries() +res = d.getComputedHydraulicTimeSeries(['flow', 'pressure']) d.plot(node_values=res.Pressure[10, :], title='Pressure at hour 10') # Plot Flow at hour 10 diff --git a/examples/python/EX6_load_two_inp_files.py b/examples/python/EX6_load_two_inp_files.py index a0875a0..626c344 100644 --- a/examples/python/EX6_load_two_inp_files.py +++ b/examples/python/EX6_load_two_inp_files.py @@ -11,7 +11,7 @@ # Load networks d1 = epanet('Net1.inp', ph=True) d2 = epanet('Net2.inp', ph=True) - +# # Close any open figures d1.plot_close() diff --git a/examples/python/EX7_Set_Pump_Curves.py b/examples/python/EX7_Set_Pump_Curves.py index 7e9d8ed..b0a83d1 100644 --- a/examples/python/EX7_Set_Pump_Curves.py +++ b/examples/python/EX7_Set_Pump_Curves.py @@ -10,8 +10,8 @@ Computed hydraulics. Unload library. """ -from epyt import epanet import matplotlib.pyplot as plt +from epyt import epanet # Close any open figures plt.close("all") @@ -20,7 +20,7 @@ d = epanet('Net1.inp') # Computed Hydraulic & Quality Time Series using binary file. -Results = d.getComputedTimeSeries() +Results = d.getComputedTimeSeries_ENepanet() nodeID = '10' indexNode = d.getNodeIndex(nodeID) diff --git a/examples/python/EX9_compare_simulations.py b/examples/python/EX9_compare_simulations.py index 118e80c..d595487 100644 --- a/examples/python/EX9_compare_simulations.py +++ b/examples/python/EX9_compare_simulations.py @@ -10,9 +10,10 @@ Run time d.getComputedTimeSeries. """ -from epyt import epanet import time +from epyt import epanet + # Load a network. d = epanet('Net1.inp') @@ -44,6 +45,7 @@ nodeindex = 6 - 1 # Step by step hydraulic analysis. +starth_step = time.time() d.openHydraulicAnalysis() d.initializeHydraulicAnalysis() tstep, P, T_H, D, H, F = 1, [], [], [], [], [] @@ -53,24 +55,38 @@ D.append(d.getNodeActualDemand()) H.append(d.getNodeHydraulicHead()) F.append(d.getLinkFlows()) - T_H.append(t/3600) + T_H.append(t / 3600) tstep = d.nextHydraulicAnalysisStep() d.closeHydraulicAnalysis() +stoph_step = time.time() # Step by step quality analysis. -d.setTimeSimulationDuration(86400) -d.setTimeQualityStep(3600) -d.solveCompleteHydraulics() +d.solveCompleteHydraulics() +startq_step = time.time() d.openQualityAnalysis() d.initializeQualityAnalysis() tleft, P, T_Q, Q = 1, [], [], [] sim_duration = d.getTimeSimulationDuration() -while tleft > 0 or t < sim_duration: +while tleft > 0: t = d.runQualityAnalysis() Q.append(d.getNodeActualQuality()) - T_Q.append(t/3600) + T_Q.append(t / 3600) tleft = d.stepQualityAnalysisTimeLeft() d.closeQualityAnalysis() +stopq_step = time.time() + +# Using API functions +start_api = time.time() +d.api.ENopenH() +d.api.ENinitH(d.ToolkitConstants.EN_NOSAVE) +tstep, P, T_H, = 1, [], [] +while tstep > 0: + t = d.api.ENrunH() + P.append(d.api.ENgetnodevalues(d.ToolkitConstants.EN_PRESSURE)) + T_H.append(t) + tstep = d.api.ENnextH() +d.api.ENcloseH() +stop_api = time.time() # Unload library. d.unload() @@ -80,36 +96,36 @@ print(f'Run Time of function d.getComputedTimeSeries: {stop_results - start_results:.5} (sec)') print(f'Run Time of function d.getComputedHydraulicTimeSeries: {stop_hydraulic - start_hydraulic:.5} (sec)') print(f'Run Time of function d.getComputedQualityTimeSeries: {stop_quality - start_quality:.5} (sec)') +print(f'Run Time of function step by step Hydraulic: {stoph_step - starth_step:.5} (sec)') +print(f'Run Time of function step by step Quality: {stopq_step - startq_step:.5} (sec)') +print(f'Run Time of function API hydraulics: {stop_api - start_api:.5} (sec)') - -d.plot_ts(X=Results.Time/3600, Y=Results.Flow[:, pipeindex], title='d.getComputedTimeSeries (Ignore events)', +d.plot_ts(X=Results.Time / 3600, Y=Results.Flow[:, pipeindex], title='d.getComputedTimeSeries (Ignore events)', xlabel='Time (hrs)', ylabel='Flow (' + d.LinkFlowUnits + ') - Link ID "' + d.LinkNameID[pipeindex] + '"', marker=None, fontsize=8) - -d.plot_ts(X=Hydraulics.Time/3600, Y=d.to_array(F)[:, pipeindex], title='d.getComputedHydraulicTimeSeries', +d.plot_ts(X=Hydraulics.Time / 3600, Y=d.to_array(F)[:, pipeindex], title='d.getComputedHydraulicTimeSeries', xlabel='Time (hrs)', ylabel='Flow (' + d.LinkFlowUnits + ') - Link ID "' + d.LinkNameID[pipeindex] + '"', marker=None, fontsize=8) - d.plot_ts(X=T_H, Y=d.to_array(F)[:, pipeindex], title='step by step Hydraulic Analysis', xlabel='Time (hrs)', ylabel='Flow (' + d.LinkFlowUnits + ') - Link ID "' + d.LinkNameID[pipeindex] + '"', marker=None, fontsize=8) - -d.plot_ts(X=Results.Time/3600, Y=Results.NodeQuality[:, nodeindex], title='d.getComputedTimeSeries (Ignore events)', - xlabel='Time (hrs)', ylabel='Node Quality (' + d.QualityChemUnits + ') - Node ID "' + d.NodeNameID[nodeindex] + '"', +d.plot_ts(X=Results.Time / 3600, Y=Results.NodeQuality[:, nodeindex], title='d.getComputedTimeSeries (Ignore events)', + xlabel='Time (hrs)', + ylabel='Node Quality (' + d.QualityChemUnits + ') - Node ID "' + d.NodeNameID[nodeindex] + '"', marker=None, fontsize=8) - -d.plot_ts(X=Quality.Time/3600, Y=Quality.NodeQuality[:, nodeindex], title='d.getComputedQualityTimeSeries', - xlabel='Time (hrs)', ylabel='Node Quality (' + d.QualityChemUnits + ') - Link ID "' + d.NodeNameID[nodeindex] + '"', +d.plot_ts(X=Quality.Time / 3600, Y=Quality.NodeQuality[:, nodeindex], title='d.getComputedQualityTimeSeries', + xlabel='Time (hrs)', + ylabel='Node Quality (' + d.QualityChemUnits + ') - Link ID "' + d.NodeNameID[nodeindex] + '"', marker=None, fontsize=8) - d.plot_ts(X=T_Q, Y=d.to_array(Q)[:, pipeindex], title='step by step Quality Analysis', - xlabel='Time (hrs)', ylabel='Node Quality (' + d.QualityChemUnits + ') - Link ID "' + d.NodeNameID[nodeindex] + '"', + xlabel='Time (hrs)', + ylabel='Node Quality (' + d.QualityChemUnits + ') - Link ID "' + d.NodeNameID[nodeindex] + '"', marker=None, fontsize=8) # Show the plots (plt.show()) -d.plot_show() \ No newline at end of file +d.plot_show() From 18f8568d877fbd6b6dc4e5c987a2c0d9c4768d0b Mon Sep 17 00:00:00 2001 From: "Marios S. Kyriakou" Date: Wed, 4 Feb 2026 19:46:26 +0200 Subject: [PATCH 169/183] Return resolved file paths in _collect_files --- epyt/networks/__init__.py | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/epyt/networks/__init__.py b/epyt/networks/__init__.py index 53eeea6..7f2754e 100644 --- a/epyt/networks/__init__.py +++ b/epyt/networks/__init__.py @@ -1,22 +1,23 @@ import os import re from importlib.resources import files +from pathlib import Path def _collect_files(ext: str): ext = ext.lower() root = files(__name__) - def walk(trav, prefix=""): + def walk(trav): for p in trav.iterdir(): if p.is_dir(): - yield from walk(p, prefix + p.name + "/") + yield from walk(p) else: name = p.name if name.lower().endswith(ext): stem = name[:-len(ext)] if "_temp" not in stem: - yield prefix + name + yield Path(p).resolve() # full path return sorted(set(walk(root))) From e124c7db3fd95db42f95a17a7b99e88cdc19b3f0 Mon Sep 17 00:00:00 2001 From: "Marios S. Kyriakou" Date: Wed, 4 Feb 2026 20:23:08 +0200 Subject: [PATCH 170/183] update examples --- epyt/epanet.py | 12 +- .../python/EX10_close_pipes_during_sim.py | 4 +- examples/python/EX11_assing_new_curve_pump.py | 2 +- examples/python/EX12_add_cvpipe.py | 2 +- .../EX13_hydraulic_and_quality_analysis.py | 2 +- .../python/EX14_create_multiple_scenarios.py | 3 +- examples/python/EX14_write_msx_file.py | 25 +- .../EX15_add_multiple_controls_pipestatus.py | 7 +- examples/python/EX16_change_status_pipes.py | 3 +- .../python/EX19_Overflow_option_for_tanks.py | 2 +- examples/python/EX24_Parallel_Computations.py | 7 +- examples/python/EX28_Leakage.py | 225 +++++++++++++----- .../python/ExampleMSXStatisticsToExcel.py | 25 -- examples/python/Plt_EX1_Create_Flow_gif.py | 9 +- .../python/Plt_EX2_Create_Pressure_gif.py | 12 +- 15 files changed, 225 insertions(+), 115 deletions(-) delete mode 100644 examples/python/ExampleMSXStatisticsToExcel.py diff --git a/epyt/epanet.py b/epyt/epanet.py index b5028f6..e091e70 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -2031,7 +2031,11 @@ def getComputedHydraulicTimeSeries(self, *argv): 'setting', 'energy', 'efficiency', 'state', 'linkleakagerate', 'nodeleakageflow', 'emitterflow', 'demanddelivered', 'demandrequested'] else: - attrs = argv[0] + x = argv[0] + if isinstance(x, str): + attrs = [x.strip().lower()] + else: + attrs = [str(a).strip().lower() for a in x] value.Time = [] if 'pressure' in attrs: @@ -2206,7 +2210,11 @@ def getComputedQualityTimeSeries(self, *argv): if len(argv) == 0: attrs = ['time', 'nodequality', 'linkquality', 'mass'] else: - attrs = argv[0] + x = argv[0] + if isinstance(x, str): + attrs = [x.strip().lower()] + else: + attrs = [str(a).strip().lower() for a in x] attrs = [a.lower() for a in attrs] diff --git a/examples/python/EX10_close_pipes_during_sim.py b/examples/python/EX10_close_pipes_during_sim.py index aeab73f..85b2655 100644 --- a/examples/python/EX10_close_pipes_during_sim.py +++ b/examples/python/EX10_close_pipes_during_sim.py @@ -6,11 +6,11 @@ Get flows for the specific link index. Unload library. """ -from epyt import epanet import pandas as pd +from epyt import epanet # Load a network. -d = epanet('Net1.inp') +d = epanet('Net1.inp', loadfile=True) # Link index for change the status. link_index = 2 diff --git a/examples/python/EX11_assing_new_curve_pump.py b/examples/python/EX11_assing_new_curve_pump.py index 6156192..b422153 100644 --- a/examples/python/EX11_assing_new_curve_pump.py +++ b/examples/python/EX11_assing_new_curve_pump.py @@ -12,7 +12,7 @@ from epyt import epanet # Load a network. -d = epanet('L-TOWN.inp') +d = epanet('L-TOWN.inp', loadfile=True) # Add new curve in the network. indexCurve = d.addCurve('NewCurve', [1800, 300], [1500, 500]) diff --git a/examples/python/EX12_add_cvpipe.py b/examples/python/EX12_add_cvpipe.py index f299dc8..222c4bb 100644 --- a/examples/python/EX12_add_cvpipe.py +++ b/examples/python/EX12_add_cvpipe.py @@ -10,7 +10,7 @@ from epyt import epanet # Load a network. -d = epanet('Net1.inp') +d = epanet('Net1.inp', loadfile=True) print('Add a CV pipe') diff --git a/examples/python/EX13_hydraulic_and_quality_analysis.py b/examples/python/EX13_hydraulic_and_quality_analysis.py index f634349..665a8e7 100644 --- a/examples/python/EX13_hydraulic_and_quality_analysis.py +++ b/examples/python/EX13_hydraulic_and_quality_analysis.py @@ -9,7 +9,7 @@ from epyt import epanet # Load a network. -d = epanet('Net1.inp') +d = epanet('Net1.inp', loadfile=True) d.setQualityType('Chlorine', 'mg/L') initialQuality = 0.6 nodeIndex = d.getNodeReservoirIndex() diff --git a/examples/python/EX14_create_multiple_scenarios.py b/examples/python/EX14_create_multiple_scenarios.py index adca255..1127b9d 100644 --- a/examples/python/EX14_create_multiple_scenarios.py +++ b/examples/python/EX14_create_multiple_scenarios.py @@ -10,9 +10,10 @@ Plot Quality VS Time. Unload library """ -from epyt import epanet import random +from epyt import epanet + def add_unc(ext, unc): # Add uncertainty (unc) to the parameter ext diff --git a/examples/python/EX14_write_msx_file.py b/examples/python/EX14_write_msx_file.py index 3008c18..3b23f2a 100644 --- a/examples/python/EX14_write_msx_file.py +++ b/examples/python/EX14_write_msx_file.py @@ -1,10 +1,23 @@ -from epyt.epanet import epanet, epanetmsxapi -from epyt import networks +## Writes MSX File e.g.Net2.msx. +# This example contains: +# +# * Load a network. +# * Set Input Arguments: Filename Section Title Section Options Section Species +# Section Coefficients Section Terms Section Pipes Section Tanks Section Sources +# Section Quality Global Section Quality Section Parameters Section Patterns. +# * Write MSX File. +# * Load MSX File. +# * Compute. +# * Unload libraries. import os +from time import sleep + +from epyt import networks +from epyt.epanet import epanet, epanetmsxapi -DIRNAME = os.path.dirname(networks.__file__) -inpname = os.path.join(DIRNAME, 'msx-examples', 'net2-cl2.inp') +nets = networks.inp_files() +inpname = nets.net2_cl2 d = epanet(inpname) msx = d.initializeMSXWrite() @@ -19,7 +32,7 @@ msx.ATOL = 0.001 msx.RTOL = 0.001 -msx.SPECIES = {'BULK CL2 MG 0.01 0.001','BULK TRS MG 0.001 0.0012'} +msx.SPECIES = {'BULK CL2 MG 0.01 0.001', 'BULK TRS MG 0.001 0.0012'} msx.COEFFICIENTS = {'PARAMETER Kb 0.3', 'PARAMETER Kw 1'} msx.TERMS = {'Kf 1.5826e-4 * RE^0.88 / D'} @@ -31,6 +44,8 @@ msx.PARAMETERS = {''} msx.PATERNS = {''} d.writeMSXFile(msx) +sleep(.5) + d.loadMSXFile(msx.FILENAME) d.unloadMSX() d.unload() diff --git a/examples/python/EX15_add_multiple_controls_pipestatus.py b/examples/python/EX15_add_multiple_controls_pipestatus.py index d21fdf6..30ba51a 100644 --- a/examples/python/EX15_add_multiple_controls_pipestatus.py +++ b/examples/python/EX15_add_multiple_controls_pipestatus.py @@ -8,11 +8,12 @@ Create random status for pipes every hour. Unload library. """ -from epyt import epanet -import pandas as pd import random import time +import pandas as pd +from epyt import epanet + start = time.time() # Load inp file. d = epanet('Net1.inp') @@ -50,7 +51,7 @@ print('Create random status') -d.plot_ts(Y=pd.DataFrame(d.getComputedHydraulicTimeSeries().Flow), title='Change status of pipes every hour', +d.plot_ts(Y=pd.DataFrame(d.getComputedHydraulicTimeSeries('flow').Flow), title='Change status of pipes every hour', xlabel='Time (hrs)', marker=False, color='b', fontsize=8) d.plot_show() diff --git a/examples/python/EX16_change_status_pipes.py b/examples/python/EX16_change_status_pipes.py index 6c448e1..9082008 100644 --- a/examples/python/EX16_change_status_pipes.py +++ b/examples/python/EX16_change_status_pipes.py @@ -10,9 +10,10 @@ Unload library. """ -from epyt import epanet import random +from epyt import epanet + # Load a network. d = epanet('Net1.inp') diff --git a/examples/python/EX19_Overflow_option_for_tanks.py b/examples/python/EX19_Overflow_option_for_tanks.py index 19e0769..35b12ff 100644 --- a/examples/python/EX19_Overflow_option_for_tanks.py +++ b/examples/python/EX19_Overflow_option_for_tanks.py @@ -82,4 +82,4 @@ print(True) if (spillage - spillage2) < 0.0001 else print(False) # Unload library. -d.unload() \ No newline at end of file +d.unload() diff --git a/examples/python/EX24_Parallel_Computations.py b/examples/python/EX24_Parallel_Computations.py index 7ce8c90..6fce0e4 100644 --- a/examples/python/EX24_Parallel_Computations.py +++ b/examples/python/EX24_Parallel_Computations.py @@ -6,12 +6,11 @@ import numpy as np from multiprocess import Pool, cpu_count -from epyt import epanet +from epyt import epanet, networks # Paths -base_dir = os.path.dirname(os.path.abspath(__file__)) -inpname = os.path.join(base_dir, '..', '..', 'networks', 'asce-tf-wdst', 'Net1.inp') -inpname = os.path.normpath(inpname) +nets = networks.inp_files() +inpname = nets.Net1 # Number of simulations Nsim = 1000 diff --git a/examples/python/EX28_Leakage.py b/examples/python/EX28_Leakage.py index 5ede248..f0c8a34 100644 --- a/examples/python/EX28_Leakage.py +++ b/examples/python/EX28_Leakage.py @@ -1,74 +1,183 @@ -from epyt import epanet - -# Model + time settings - -d = epanet('ky10.inp') -TIME_H = 24 * 3600 # 24 hours -HYD_STEP = 15 * 60 # 15 min -PAT_STEP = 15 * 60 -RPT_STEP = 15 * 60 - -LINK_LEAK_AREA = 3e-7 -EMITTER_COEFF = 0.002 +# EPyT (EPANET 2.3) — FAVAD leakage demo -d.setTimeSimulationDuration(TIME_H) -d.setTimeHydraulicStep(HYD_STEP) -d.setTimePatternStep(PAT_STEP) -d.setTimeReportingStep(RPT_STEP) - -linkID = d.getLinkNameID(10) -pipe_ix = d.getLinkIndex(linkID) - -nodeID = d.getNodeNameID(10) -junc_ix = d.getNodeIndex(nodeID) +import numpy as np +import matplotlib.pyplot as plt +from epyt import epanet -# Apply leakage settings -d.setLinkLeakArea(pipe_ix, LINK_LEAK_AREA) -d.setLinkExpansionProperties(pipe_ix, 0.5) # example elasticity coefficient +def main(): + # ===== Input file ===== + INP = "Net1.inp" + d = epanet(INP) -d.setNodeEmitterCoeff(junc_ix, EMITTER_COEFF) + q_unit = d.getFlowUnits() + p_unit = d.getOptionsPressureUnits() + print(f"[Units] Flow={q_unit} | Pressure={p_unit}") -p_unit = d.getOptionsPressureUnits() -q_unit = d.getFlowUnits() + # ===== Simulation settings ===== + SIM_HOURS = 24 + HYD_STEP_MIN = 60 -print(f"[Units] Flow={q_unit} | Pressure={p_unit} ") -print(f"[Params] LinkLeakArea={LINK_LEAK_AREA:g} m^2 | EmitterCoeff={EMITTER_COEFF:g}") + d.setTimeSimulationDuration(SIM_HOURS * 3600) + d.setTimeHydraulicStep(HYD_STEP_MIN * 60) -# Run hydraulics + n_links = d.getLinkCount() -d.openHydraulicAnalysis() -d.initializeHydraulicAnalysis() + # ===== Apply leakage to multiple links ===== + # (LinkID, LC1, LC2) + leak_links = [ + ("21", 1.0, 0.10), + ("12", 0.8, 0.05), + ("31", 0.9, 0.08), + ] -t = 0.0 -while True: - d.runHydraulicAnalysis() + print("\n===== APPLY LEAKAGE =====") + leak_link_ids = [x[0] for x in leak_links] + leak_link_indices = [] - # Leakages - leak_pipe = d.getLinkLeakageRate(pipe_ix) - leak_node = d.getNodeLeakageFlow(junc_ix) - emitter = d.getNodeEmitterFlow(junc_ix) + for link_id, lc1, lc2 in leak_links: + link_idx = d.getLinkIndex(link_id) + if (link_idx is None) or (link_idx <= 0): + raise ValueError(f'Link ID "{link_id}" not found.') - # Demand - dem_req = d.getConsumerDemandRequested(junc_ix) - dem_del = d.getConsumerDemandDelivered(junc_ix) + leak_link_indices.append(link_idx) - # Optional diagnostics - Pj = d.getNodePressure(junc_ix) + d.setLinkLeakArea(link_idx, lc1) + d.setLinkExpansionProperties(link_idx, lc2) - total_out = max(dem_del + leak_pipe + leak_node + emitter, 1e-12) - leak_share = 100.0 * (leak_pipe + leak_node + emitter) / total_out + print(f"Applied leakage to link {link_id} (index {link_idx}): LC1={lc1:.6g}, LC2={lc2:.6g}") - print( - f"t={t:5.0f}s | P={Pj:7.3f} {p_unit:>3} | " - f"PipeLeak={leak_pipe:9.4f} | NodeLeak={leak_node:9.4f} | Emitter={emitter:8.4f} | " - f"DemReq={dem_req:8.3f} | DemDel={dem_del:8.3f} | LeakShare={leak_share:5.1f}%" + # ===== Run hydraulics and retrieve time series ===== + # EPyT expects strings (not lists) for each attribute + res = d.getComputedHydraulicTimeSeries([ + "linkleakagerate", + "nodeleakageflow", + "emitterflow", + "demanddelivered", + "demandrequested"] ) - dt = d.nextHydraulicAnalysisStep() - if dt <= 0: - break - t += dt - -d.closeHydraulicAnalysis() -d.unload() \ No newline at end of file + time_s = np.asarray(res.Time).reshape(-1) + time_h = time_s / 3600.0 + + leak_link_ts = np.asarray(res.LinkLeakageRate) # [time x links] (L/s) + leak_node_ts = np.asarray(res.NodeLeakageFlow) # [time x nodes] (L/s) + + # ===== Core results: totals, averages, peak, volumes ===== + total_leak_ts_lps = np.nansum(leak_link_ts, axis=1) + avg_total_leak_lps = float(np.nanmean(total_leak_ts_lps)) + + if time_s.size >= 2: + total_leaked_volume_m3 = float(np.trapezoid(total_leak_ts_lps, time_s) / 1000.0) # (L/s)*s -> L -> m^3 + else: + total_leaked_volume_m3 = float("nan") + + idx_peak = int(np.nanargmax(total_leak_ts_lps)) + peak_total_leak_lps = float(total_leak_ts_lps[idx_peak]) + t_peak_h = float(time_h[idx_peak]) + + print("\n===== LEAKAGE SUMMARY =====") + print(f"Average total leakage : {avg_total_leak_lps:.3f} L/s") + print(f"Peak total leakage : {peak_total_leak_lps:.3f} L/s at t = {t_peak_h:.2f} h") + print(f"Total leaked volume : {total_leaked_volume_m3:.2f} m3/day (over {SIM_HOURS} h)") + + # ===== Per-link mean leakage and peak snapshot ===== + avg_leak_per_link_lps = np.nanmean(leak_link_ts, axis=0).reshape(-1) # [links] + leak_at_peak_lps = leak_link_ts[idx_peak, :].reshape(-1) # [links] + + # ===== Links by mean leakage ===== + topN = 3 + sorted_ix = np.argsort(-avg_leak_per_link_lps) # descending + topN = min(topN, n_links) + + top_link_index = sorted_ix[:topN] + 1 # EPANET link indexing is 1-based + top_link_leak = avg_leak_per_link_lps[sorted_ix[:topN]] + + top_link_id = [] + for idx0 in sorted_ix[:topN]: + idx1 = int(idx0 + 1) + top_link_id.append(str(d.getLinkNameID(idx1))) + + print(f"\nTop-{topN} links by MEAN leakage (L/s):") + for rank in range(topN): + print(f"{rank+1:>2}. LinkIndex={int(top_link_index[rank])} | LinkID={top_link_id[rank]} | MeanLeak_LPS={top_link_leak[rank]:.6g}") + + # ===== Consistency checks for ALL leaky links (end nodes for each link) ===== + print("\n===== CONSISTENCY CHECKS (per leaky link) =====") + tol_L = 0.01 + + for link_id, link_idx in zip(leak_link_ids, leak_link_indices): + nodes = d.getLinkNodesIndex(link_idx) # [node1, node2] (1-based) + node1 = int(nodes[0]) + node2 = int(nodes[1]) + + # numpy uses 0-based indices + node_cols = [node1 - 1, node2 - 1] + link_col = link_idx - 1 + + leak_nodes_total = float(np.nansum(leak_node_ts[:, node_cols])) + leak_link_total = float(np.nansum(leak_link_ts[:, link_col])) + abs_diff = abs(leak_link_total - leak_nodes_total) + + print( + f"Link {link_id} (idx {link_idx}) nodes ({node1},{node2}): " + f"LinkSum={leak_link_total:.4f} | NodeSum={leak_nodes_total:.4f} | Diff={abs_diff:.4f}" + ) + + if not (abs_diff < tol_L): + raise AssertionError(f"Leak mismatch for link {link_id}: link != nodes (Diff={abs_diff})") + + # ===== Plots ===== + fig = plt.figure(figsize=(12, 8)) + fig.suptitle("Leakage Results") + + # 1) Total leakage over time + ax1 = plt.subplot(2, 2, 1) + ax1.plot(time_h, total_leak_ts_lps, linewidth=1.5) + ax1.grid(True) + ax1.set_xlabel("Time (h)") + ax1.set_ylabel("Total leakage (L/s)") + ax1.set_title("Total leakage time series") + ax1.plot(time_h[idx_peak], peak_total_leak_lps, marker="o") + ax1.text(time_h[idx_peak], peak_total_leak_lps, f" Peak {peak_total_leak_lps:.2f} L/s @ {t_peak_h:.2f} h", va="bottom") + + # 2) Leakage over time for each leaky link + ax2 = plt.subplot(2, 2, 2) + for link_id, link_idx in zip(leak_link_ids, leak_link_indices): + ax2.plot(time_h, leak_link_ts[:, link_idx - 1], linewidth=1.5, label=f"Link {link_id}") + ax2.grid(True) + ax2.set_xlabel("Time (h)") + ax2.set_ylabel("Leakage (L/s)") + ax2.set_title("Leakage on selected links") + ax2.legend() + + # 3) Links bar (mean leakage) + ax3 = plt.subplot(2, 2, 3) + ax3.bar(np.arange(1, topN + 1), top_link_leak) + ax3.grid(True) + ax3.set_xlabel("Rank") + ax3.set_ylabel("Mean leakage (L/s)") + ax3.set_title("Links by mean leakage") + ax3.set_xticks(np.arange(1, topN + 1)) + ax3.set_xticklabels(top_link_id) + + # 4) Sum of leakage at end nodes (per leaky link) + ax4 = plt.subplot(2, 2, 4) + for link_id, link_idx in zip(leak_link_ids, leak_link_indices): + nodes = d.getLinkNodesIndex(link_idx) + node_cols = [int(nodes[0]) - 1, int(nodes[1]) - 1] + ax4.plot(time_h, np.nansum(leak_node_ts[:, node_cols], axis=1), linewidth=1.5, label=f"Nodes of {link_id}") + ax4.grid(True) + ax4.set_xlabel("Time (h)") + ax4.set_ylabel("End-node leakage (L/s)") + ax4.set_title("Leakage at end nodes of selected links") + ax4.legend() + + plt.tight_layout() + plt.show() + + # ===== Close EPANET object ===== + d.unload() + +if __name__ == "__main__": + main() diff --git a/examples/python/ExampleMSXStatisticsToExcel.py b/examples/python/ExampleMSXStatisticsToExcel.py deleted file mode 100644 index 652f59e..0000000 --- a/examples/python/ExampleMSXStatisticsToExcel.py +++ /dev/null @@ -1,25 +0,0 @@ -from epyt import epanet - - - -G = epanet("net2-cl2.inp") -G.loadMSXFile("net2-cl2.msx") -MSX_comp = G.getMSXComputedQualityNode() -G.exportMSXts(MSX_comp, "net2") -G.exportMSXstatistics("net2","summarynet2") - - -G.exportMSXts( - MSX_comp, - output_file="chlorine_subset.xlsx", - selected_nodes=["10", "15"], - selected_species=["CL2"] - ) - - -G.exportMSXts( - MSX_comp, - output_file="chlorine_subset1.xlsx", - selected_nodes=[9, 14], - selected_species=[0] - ) \ No newline at end of file diff --git a/examples/python/Plt_EX1_Create_Flow_gif.py b/examples/python/Plt_EX1_Create_Flow_gif.py index 3e9f4ca..97b98be 100644 --- a/examples/python/Plt_EX1_Create_Flow_gif.py +++ b/examples/python/Plt_EX1_Create_Flow_gif.py @@ -11,11 +11,12 @@ Create gif from all the pngs. Unload library. """ +import os + +import imageio import matplotlib.pyplot as plt -from epyt import epanet from PIL import Image -import imageio -import os +from epyt import epanet # Close all figures plt.close('all') @@ -27,7 +28,7 @@ new_gif_name = f'{d.netName[:-4]}_flows.gif' # Run analysis -comp_analysis_vals = d.getComputedTimeSeries() +comp_analysis_vals = d.getComputedHydraulicTimeSeries('flow') flows = comp_analysis_vals.Flow Time = comp_analysis_vals.Time / 3600 diff --git a/examples/python/Plt_EX2_Create_Pressure_gif.py b/examples/python/Plt_EX2_Create_Pressure_gif.py index e9cb45f..8fc77cd 100644 --- a/examples/python/Plt_EX2_Create_Pressure_gif.py +++ b/examples/python/Plt_EX2_Create_Pressure_gif.py @@ -13,11 +13,12 @@ Unload library. """ +import os + +import imageio import matplotlib.pyplot as plt -from epyt import epanet from PIL import Image -import imageio -import os +from epyt import epanet # Close all figures plt.close('all') @@ -29,9 +30,9 @@ new_gif_name = f'{d.netName[:-4]}_pressures.gif' # Run Hydraulic analysis -comp_analysis_vals = d.getComputedTimeSeries() +comp_analysis_vals = d.getComputedHydraulicTimeSeries('pressure') pressures = comp_analysis_vals.Pressure -Time = comp_analysis_vals.Time/3600 +Time = comp_analysis_vals.Time / 3600 # Set the colorbar values based on the min/max of all the Pressure values minPressure = d.min(pressures) @@ -40,7 +41,6 @@ # iterate through flow times figToPngNames = [] for i, values in enumerate(pressures): - hr = str(int(Time[i - 1])) d.plot(node_values=values, figure=False, min_colorbar=minPressure, max_colorbar=maxPressure, From 53b1f03662120f6e73ff8241f1d3c507b880ec90 Mon Sep 17 00:00:00 2001 From: "Marios S. Kyriakou" Date: Wed, 4 Feb 2026 20:50:12 +0200 Subject: [PATCH 171/183] Update epanetapi.py --- epyt/src/epanetapi.py | 22 ++++++++++++---------- 1 file changed, 12 insertions(+), 10 deletions(-) diff --git a/epyt/src/epanetapi.py b/epyt/src/epanetapi.py index ea8d592..a11a365 100644 --- a/epyt/src/epanetapi.py +++ b/epyt/src/epanetapi.py @@ -2,13 +2,13 @@ import sys import warnings from functools import partial - -from .epanet_cffi_compat import cdll, byref, create_string_buffer, c_uint64, c_void_p, c_int, c_double, c_float, c_long, \ - c_char_p, funcptr_null - from pathlib import Path + from epyt import epyt_root +from .epanet_cffi_compat import cdll, byref, create_string_buffer, c_uint64, c_void_p, c_int, c_double, c_float, c_long, \ + c_char_p, funcptr_null, EN_Project_p + def _default_lib_path(): base = Path(epyt_root) / "libraries" @@ -47,7 +47,7 @@ class epanetapi: EN_MAXID = 32 # Maximum length of ID names - def __init__(self, version=2.2, ph=False, loadlib=True, customlib=None): + def __init__(self, version=2.3, ph=False, loadlib=True, customlib=None): """Load the EPANET library. Parameters: @@ -94,9 +94,8 @@ def __init__(self, version=2.2, ph=False, loadlib=True, customlib=None): self._closeQ = partial(self._lib.EN_closeQ, self._ph) if self._ph is not None else self._lib.ENcloseQ self._initQ = partial(self._lib.EN_initQ, self._ph) if self._ph is not None else self._lib.ENinitQ - if float(version) >= 2.2 and ph: - self._ph = c_uint64() - self._ph = self._ph.value + if ph: + self._ph = EN_Project_p() # Optional lazy accessor; loads on first use if loadlib=False @property @@ -899,6 +898,7 @@ def ENopenX(self, inpFile, rptFile, binFile): self.binfile = bytes(binFile, 'utf-8') if self._ph is not None: self._lib.EN_createproject(byref(self._ph)) + self._ph = self._ph.value self.errcode = self._lib.EN_openX(self._ph, self.inpfile, self.rptfile, self.binfile) else: self.errcode = self._lib.ENopenX(self.inpfile, self.rptfile, self.binfile) @@ -1876,9 +1876,11 @@ def ENinit(self, unitsType, headLossType): """ if self._ph is not None: - self.errcode = self._lib.EN_init(self._ph, "", "", unitsType, headLossType) + self._lib.EN_createproject(byref(self._ph)) + self._ph = self._ph.ptr[0] + self.errcode = self._lib.EN_init(self._ph, b"", b"", unitsType, headLossType) else: - self.errcode = self._lib.ENinit("", "", unitsType, headLossType) + self.errcode = self._lib.ENinit(b"", b"", unitsType, headLossType) self.ENgeterror() From 00f62137fe2b231aaaafe86f89cecd90fd905ef3 Mon Sep 17 00:00:00 2001 From: "Marios S. Kyriakou" Date: Wed, 4 Feb 2026 20:50:27 +0200 Subject: [PATCH 172/183] Update Toolkit_api_EX1_using_EN_functions.py --- examples/python/Toolkit_api_EX1_using_EN_functions.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/examples/python/Toolkit_api_EX1_using_EN_functions.py b/examples/python/Toolkit_api_EX1_using_EN_functions.py index 77bec64..3469c5b 100644 --- a/examples/python/Toolkit_api_EX1_using_EN_functions.py +++ b/examples/python/Toolkit_api_EX1_using_EN_functions.py @@ -7,9 +7,10 @@ from epyt import epanet # Initialize epanet without inputs +# d = epanet(ph=True) or d = epanet() d = epanet() # d.InputFile = 'Example_1.inp' # CHECK if needed -# Use gpm for flow units and the Hazen-Williams formula for head loss +# Use GPM for flow units and the Hazen-Williams formula for head loss d.api.ENinit(d.ToolkitConstants.EN_GPM, d.ToolkitConstants.EN_HW) # Add the first junction node to the project with an From 0b7bd358a2fe1c20e94d91be99e73663ab1e7483 Mon Sep 17 00:00:00 2001 From: "Marios S. Kyriakou" Date: Wed, 4 Feb 2026 21:14:42 +0200 Subject: [PATCH 173/183] Add createinp option and robust ph handling --- epyt/epanet.py | 28 +++++++++---------- epyt/src/epanetapi.py | 5 +++- .../python/Toolkit_EX4_Network_Building.py | 2 +- 3 files changed, 18 insertions(+), 17 deletions(-) diff --git a/epyt/epanet.py b/epyt/epanet.py index e091e70..1474bb0 100644 --- a/epyt/epanet.py +++ b/epyt/epanet.py @@ -410,8 +410,8 @@ class epanet: d = epanet(inpname, msx=True,customlib=epanetlib) """ - def __init__(self, *argv, version=2.2, ph=False, loadfile=False, customlib=None, display_msg=True, - display_warnings=True): + def __init__(self, *argv, version=2.3, ph=False, loadfile=False, customlib=None, display_msg=True, + display_warnings=True, createinp=False): # Constants self.msx = None if display_warnings: @@ -433,7 +433,7 @@ def __init__(self, *argv, version=2.2, ph=False, loadfile=False, customlib=None, if self.display_msg and self.customlib is None: print(f'EPANET version {self.getVersion()} ' f'loaded (EPyT version v{self.classversion} - Last Update: {__lastupdate__}).') - print('Publication DOI: https://zenodo.org/records/18484878'); + print('Publication DOI: https://zenodo.org/records/18484878') # ToolkitConstants: Contains all parameters from epanet2_2.h self.ToolkitConstants = EpanetConstants() @@ -461,6 +461,14 @@ def __init__(self, *argv, version=2.2, ph=False, loadfile=False, customlib=None, if fullpath: p = Path(fullpath) self.InputFile = str(p) + elif createinp: + self.InputFile = argv[0] + # if the file exists it is overwritten + f = open(self.InputFile, "w") + f.close() + self.createProject() + # Save the temporary input file + self.TempInpFile = f'{self.InputFile[0:-4]}_temp.inp' else: warnings.warn(f'File "{self.InputFile}" does not exist in "{epyt_root}".') sys.exit(1) @@ -480,25 +488,15 @@ def __init__(self, *argv, version=2.2, ph=False, loadfile=False, customlib=None, else: self.api.ENopen(self.TempInpFile, self.RptTempfile, self.BinTempfile) - if (self.api.errcode >= 200 and self.api.errcode < 300): + if self.api.errcode >= 200 and self.api.errcode < 300: self.api.ENclose() # close the file and fetch report contents with open(self.RptTempfile, "r") as f: print(f.read()) self.api.ENopenX(self.TempInpFile, self.RptTempfile, self.BinTempfile) - if not loadfile: + if not loadfile and not createinp: self.__getInitParams() - elif (len(argv) == 2) and (argv[1].upper() == 'CREATE'): - self.InputFile = argv[0] - # if the file exists it is overwritten - f = open(self.InputFile, "w") - f.close() - self.createProject() - # Save the temporary input file - self.BinTempfile = f'{self.InputFile[0:-4]}_temp.inp' - self.__exist_inp_file = True - if not self.__exist_inp_file: msg = f'File "{self.InputFile}" does not exist.' warnings.warn(msg) diff --git a/epyt/src/epanetapi.py b/epyt/src/epanetapi.py index a11a365..ecea575 100644 --- a/epyt/src/epanetapi.py +++ b/epyt/src/epanetapi.py @@ -1877,7 +1877,10 @@ def ENinit(self, unitsType, headLossType): if self._ph is not None: self._lib.EN_createproject(byref(self._ph)) - self._ph = self._ph.ptr[0] + try: + self._ph = self._ph.ptr[0] + except: + pass self.errcode = self._lib.EN_init(self._ph, b"", b"", unitsType, headLossType) else: self.errcode = self._lib.ENinit(b"", b"", unitsType, headLossType) diff --git a/examples/python/Toolkit_EX4_Network_Building.py b/examples/python/Toolkit_EX4_Network_Building.py index 0bdbd3d..4cedc7d 100644 --- a/examples/python/Toolkit_EX4_Network_Building.py +++ b/examples/python/Toolkit_EX4_Network_Building.py @@ -15,7 +15,7 @@ # Create an empty INP file testinp = 'TESTING.inp' -d = epanet(testinp, 'CREATE', ph=True) +d = epanet(testinp, createinp=True, ph=True) # Initialize epanet flow units d.initializeEPANET(d.ToolkitConstants.EN_GPM, d.ToolkitConstants.EN_HW) From aa86374345036cc4eabed4b7e6d22b22be9892d6 Mon Sep 17 00:00:00 2001 From: "Marios S. Kyriakou" Date: Wed, 4 Feb 2026 21:17:56 +0200 Subject: [PATCH 174/183] Add workflow_dispatch to build_tests.yml --- .github/workflows/build_tests.yml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/.github/workflows/build_tests.yml b/.github/workflows/build_tests.yml index 5d724d0..589c4bf 100644 --- a/.github/workflows/build_tests.yml +++ b/.github/workflows/build_tests.yml @@ -1,6 +1,8 @@ name: build -on: [push] +on: + push: + workflow_dispatch: jobs: build: From 4eeb4f8b2e0e675e332165027357448f1543dd51 Mon Sep 17 00:00:00 2001 From: "Marios S. Kyriakou" Date: Wed, 4 Feb 2026 21:26:38 +0200 Subject: [PATCH 175/183] create ipynb files via jupytext --- .../EX10_close_pipes_during_sim.ipynb | 176 +- .../EX11_assing_new_curve_pump.ipynb | 166 +- examples/notebooks/EX12_add_cvpipe.ipynb | 176 +- .../EX13_hydraulic_and_quality_analysis.ipynb | 410 +- .../EX14_create_multiple_scenarios.ipynb | 319 +- examples/notebooks/EX14_write_msx_file.ipynb | 127 + ...X15_add_multiple_controls_pipestatus.ipynb | 229 +- .../notebooks/EX16_change_status_pipes.ipynb | 152 +- .../notebooks/EX17a_external_controls.ipynb | 210 +- .../notebooks/EX17b_external_controls.ipynb | 201 +- ...EX18_Pressure_driven_analysis_option.ipynb | 213 +- .../EX19_Overflow_option_for_tanks.ipynb | 304 +- .../notebooks/EX1_Plot_network_topology.ipynb | 441 +- .../EX20_Change_connection_links.ipynb | 121 +- .../notebooks/EX21_set_node_name_ids.ipynb | 162 +- .../EX24_Parallel_Computations.ipynb | 138 + examples/notebooks/EX28_Leakage.ipynb | 228 + .../notebooks/EX2_Hydraulic_analysis.ipynb | 39856 +--------------- examples/notebooks/EX3_Quality_analysis.ipynb | 4864 +- examples/notebooks/EX4_Plot_time_series.ipynb | 261 +- .../EX5_Plot_values_parameters.ipynb | 236 +- .../notebooks/EX6_load_two_inp_files.ipynb | 438 +- examples/notebooks/EX7_Set_Pump_Curves.ipynb | 182 +- .../notebooks/EX9_compare_simulations.ipynb | 363 +- examples/notebooks/EX_MSX_Options.ipynb | 243 + examples/notebooks/EX_to_excel_json.ipynb | 234 + examples/notebooks/Net1_pressures.gif | Bin 396205 -> 0 bytes .../notebooks/Plt_EX1_Create_Flow_gif.ipynb | 218 +- .../Plt_EX2_Create_Pressure_gif.ipynb | 232 +- examples/notebooks/TESTING.inp | 123 - examples/notebooks/TESTING.txt | 38 - .../Toolkit_EX2_Hydrant_rating_curve.ipynb | 187 +- ...oolkit_EX3_Minimum_chlorine_residual.ipynb | 200 +- .../Toolkit_EX4_Network_Building.ipynb | 204 +- .../Toolkit_api_EX1_using_EN_functions.ipynb | 165 +- .../Toolkit_api_EX2_using_MSX_functions.ipynb | 168 + examples/notebooks/example2.inp | 123 - examples/notebooks/net1_overflow.inp | 183 - 38 files changed, 3849 insertions(+), 48442 deletions(-) create mode 100644 examples/notebooks/EX14_write_msx_file.ipynb create mode 100644 examples/notebooks/EX24_Parallel_Computations.ipynb create mode 100644 examples/notebooks/EX28_Leakage.ipynb create mode 100644 examples/notebooks/EX_MSX_Options.ipynb create mode 100644 examples/notebooks/EX_to_excel_json.ipynb delete mode 100644 examples/notebooks/Net1_pressures.gif delete mode 100644 examples/notebooks/TESTING.inp delete mode 100644 examples/notebooks/TESTING.txt create mode 100644 examples/notebooks/Toolkit_api_EX2_using_MSX_functions.ipynb delete mode 100644 examples/notebooks/example2.inp delete mode 100644 examples/notebooks/net1_overflow.inp diff --git a/examples/notebooks/EX10_close_pipes_during_sim.ipynb b/examples/notebooks/EX10_close_pipes_during_sim.ipynb index 8e5dc81..20a6e97 100644 --- a/examples/notebooks/EX10_close_pipes_during_sim.ipynb +++ b/examples/notebooks/EX10_close_pipes_during_sim.ipynb @@ -1,93 +1,63 @@ { "cells": [ { - "cell_type": "markdown", - "id": "cad4a3b0", + "cell_type": "code", + "execution_count": null, + "id": "845c9dba", "metadata": {}, + "outputs": [], "source": [ - "### Closes pipes during simulation.\n", - " \n", - "This example contains:\n", - "* Load a network.\n", - "* Link index for change the status.\n", - "* Run step by step hydraulic analysis.\n", - "* Get flows for the specific link index.\n", - "* Unload library.\n" + "\"\"\" Closes pipes during simulation.\n", + " This example contains:\n", + " Load a network.\n", + " Link index for change the status.\n", + " Run step by step hydraulic analysis.\n", + " Get flows for the specific link index.\n", + " Unload library.\n", + "\"\"\"\n", + "import pandas as pd\n", + "from epyt import epanet" ] }, { "cell_type": "code", - "execution_count": 1, - "id": "06d30e75", + "execution_count": null, + "id": "2ede3dbb", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "EPANET version 20200 loaded (EPyT version 1.0.5).\n", - "Input File Net1.inp loaded successfully.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ - "from epyt import epanet\n", - "import pandas as pd\n", - "\n", "# Load a network.\n", - "d = epanet('Net1.inp')" + "d = epanet('Net1.inp', loadfile=True)" ] }, { "cell_type": "code", - "execution_count": 2, - "id": "cbbc4211", + "execution_count": null, + "id": "08f147ce", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Flows and status for node index 2:\n", - " Flows Status\n", - "1 0.000000 0\n", - "2 0.000000 0\n", - "3 0.000000 0\n", - "4 0.000000 0\n", - "5 0.000000 0\n", - "6 0.000390 1\n", - "7 1093.136502 1\n", - "8 0.000000 0\n", - "9 0.000000 0\n", - "10 0.000393 1\n", - "11 0.000000 0\n", - "12 0.000405 1\n", - "13 0.000000 0\n", - "14 0.000413 1\n", - "15 0.000000 0\n", - "16 0.000417 1\n", - "17 0.000000 0\n", - "18 0.000417 1\n", - "19 0.000000 0\n", - "20 -0.000018 1\n", - "21 0.000000 0\n", - "22 0.000000 0\n", - "23 0.000000 0\n", - "24 0.000000 0\n", - "25 -0.000064 1\n", - "26 -358.364816 1\n", - "\n" - ] - } - ], + "outputs": [], "source": [ "# Link index for change the status.\n", - "link_index = 2\n", - "\n", - "Status = [0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, ]\n", - "\n", + "link_index = 2" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9e8ba264", + "metadata": {}, + "outputs": [], + "source": [ + "Status = [0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, ]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8d574506", + "metadata": {}, + "outputs": [], + "source": [ "# Run step by step hydraulic analysis.\n", "d.openHydraulicAnalysis()\n", "d.initializeHydraulicAnalysis()\n", @@ -98,30 +68,37 @@ " i += 1\n", " F[i] = d.getLinkFlows()\n", " tstep = d.nextHydraulicAnalysisStep()\n", - "d.closeHydraulicAnalysis()\n", - "\n", + "d.closeHydraulicAnalysis()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fa7a14c2", + "metadata": {}, + "outputs": [], + "source": [ "# Get flows for the specific link index.\n", "Flows = pd.DataFrame(F).iloc[link_index - 1]\n", - "T = pd.DataFrame({\"Flows\": Flows, \"Status\": Status}, dtype=\"category\")\n", - "\n", + "T = pd.DataFrame({\"Flows\": Flows, \"Status\": Status}, dtype=\"category\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "54de9cb2", + "metadata": {}, + "outputs": [], + "source": [ "print(f'\\nFlows and status for node index 2:\\n {T}\\n')" ] }, { "cell_type": "code", - "execution_count": 3, - "id": "fc9131bf", + "execution_count": null, + "id": "47fcb766", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Close toolkit for the input file \"Net1\". EPANET Toolkit is unloaded.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ "# Unload library.\n", "d.unload()" @@ -129,27 +106,10 @@ } ], "metadata": { - "kernelspec": { - "display_name": "Python 3.10.6 64-bit (windows store)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.6" - }, - "vscode": { - "interpreter": { - "hash": "0df096debc758afc4e07b4a6d7176310e13b87e5b446a84739768769d4d90649" - } + "jupytext": { + "cell_metadata_filter": "-all", + "main_language": "python", + "notebook_metadata_filter": "-all" } }, "nbformat": 4, diff --git a/examples/notebooks/EX11_assing_new_curve_pump.ipynb b/examples/notebooks/EX11_assing_new_curve_pump.ipynb index 5a43b64..cba8ffb 100644 --- a/examples/notebooks/EX11_assing_new_curve_pump.ipynb +++ b/examples/notebooks/EX11_assing_new_curve_pump.ipynb @@ -1,78 +1,88 @@ { "cells": [ { - "cell_type": "markdown", - "id": "be77c192", + "cell_type": "code", + "execution_count": null, + "id": "f466fd5f", "metadata": {}, + "outputs": [], "source": [ - "### Assings a new curve to a specific pump.\n", + "\"\"\" Assings a new curve to a specific pump.\n", + "\n", + " This example contains:\n", + " Load a network.\n", + " Add new curve in the network.\n", + " Get pump index.\n", + " Get head curve index.\n", + " Assing new curve index on the specific pump.\n", + " Unload library.\n", "\n", - "This example contains:\n", - "* Load a network.\n", - "* Add new curve in the network.\n", - "* Get pump index.\n", - "* Get head curve index.\n", - "* Assing new curve index on the specific pump.\n", - "* Unload library.\n" + "\"\"\"\n", + "from epyt import epanet" ] }, { "cell_type": "code", - "execution_count": 1, - "id": "e24a61ec", + "execution_count": null, + "id": "505d712c", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "EPANET version 20200 loaded (EPyT version 1.0.5).\n", - "Input File Net1.inp loaded successfully.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ - "from epyt import epanet\n", - "\n", - "# Load network\n", - "d = epanet('Net1.inp')" + "# Load a network.\n", + "d = epanet('L-TOWN.inp', loadfile=True)" ] }, { "cell_type": "code", - "execution_count": 2, - "id": "9d5cd3cd", + "execution_count": null, + "id": "c45129f8", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Head Curve Index: 1\n", - "On pump index: 13\n", - "\n", - "Assign new curve to pump: 13\n", - "\n", - "\n", - "New Head Curve Index: 2\n", - "On pump index: 13\n" - ] - } - ], + "outputs": [], "source": [ "# Add new curve in the network.\n", - "indexCurve = d.addCurve('NewCurve', [1800, 300], [1500, 500])\n", - "\n", + "indexCurve = d.addCurve('NewCurve', [1800, 300], [1500, 500])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "810cc93f", + "metadata": {}, + "outputs": [], + "source": [ "# Get pump index.\n", - "pumpIndex = d.getLinkPumpIndex(1)\n", - "\n", + "pumpIndex = d.getLinkPumpIndex(1)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a9fe9f3e", + "metadata": {}, + "outputs": [], + "source": [ "# Get head curve index.\n", - "[HeadCurveIndex, PumpIndex] = d.getLinkPumpHeadCurveIndex()\n", - "\n", + "[HeadCurveIndex, PumpIndex] = d.getLinkPumpHeadCurveIndex()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "96b5b3ec", + "metadata": {}, + "outputs": [], + "source": [ "print('Head Curve Index: ' + str(HeadCurveIndex))\n", - "print('On pump index: ' + str(PumpIndex))\n", - "\n", + "print('On pump index: ' + str(PumpIndex))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7b04d604", + "metadata": {}, + "outputs": [], + "source": [ "# Assing new curve index on the specific pump.\n", "d.setLinkPumpHeadCurveIndex(pumpIndex, indexCurve)\n", "print('\\nAssign new curve to pump: ' + str(PumpIndex) + '\\n\\n')\n", @@ -83,19 +93,20 @@ }, { "cell_type": "code", - "execution_count": 3, - "id": "0837f372", + "execution_count": null, + "id": "e7b5b86f", + "metadata": {}, + "outputs": [], + "source": [ + "print('\\n')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e5fe279f", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Close toolkit for the input file \"Net1\". EPANET Toolkit is unloaded.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ "# Unload library.\n", "d.unload()" @@ -103,27 +114,10 @@ } ], "metadata": { - "kernelspec": { - "display_name": "Python 3.10.6 64-bit (windows store)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.6" - }, - "vscode": { - "interpreter": { - "hash": "0df096debc758afc4e07b4a6d7176310e13b87e5b446a84739768769d4d90649" - } + "jupytext": { + "cell_metadata_filter": "-all", + "main_language": "python", + "notebook_metadata_filter": "-all" } }, "nbformat": 4, diff --git a/examples/notebooks/EX12_add_cvpipe.ipynb b/examples/notebooks/EX12_add_cvpipe.ipynb index 885aed2..376cd91 100644 --- a/examples/notebooks/EX12_add_cvpipe.ipynb +++ b/examples/notebooks/EX12_add_cvpipe.ipynb @@ -1,119 +1,96 @@ { "cells": [ { - "cell_type": "markdown", - "id": "6c6423ed", + "cell_type": "code", + "execution_count": null, + "id": "fa9e1253", "metadata": {}, + "outputs": [], "source": [ - "### Adds a CV Pipe in a network.\n", + "\"\"\" Adds a CV Pipe in a network.\n", "\n", - "This example contains:\n", - "* Load a network.\n", - "* Plot network components.\n", - "* Get from and to nodes for add cv pipe.\n", - "* Plot new network with changes.\n", - "* Unload library." + " This example contains:\n", + " Load a network.\n", + " Plot network components.\n", + " Get from and to nodes for add cv pipe.\n", + " Plot new network with changes.\n", + " Unload library.\n", + "\"\"\"\n", + "from epyt import epanet" ] }, { "cell_type": "code", - "execution_count": 1, - "id": "1eea1475", + "execution_count": null, + "id": "f5dd6871", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "EPANET version 20200 loaded (EPyT version 1.0.5).\n", - "Input File Net1.inp loaded successfully.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ - "from epyt import epanet\n", - "\n", - "# Load network\n", - "d = epanet('Net1.inp')" + "# Load a network.\n", + "d = epanet('Net1.inp', loadfile=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "be4225f1", + "metadata": {}, + "outputs": [], + "source": [ + "print('Add a CV pipe')" ] }, { "cell_type": "code", - "execution_count": 2, - "id": "99466e17", + "execution_count": null, + "id": "05135ac0", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Add a CV pipe\n" - ] - }, - { - "data": { - "text/plain": "

    2{{ zH+SaN;TKRtcpeTY&MD8La=%je8R|Nw6z(+MPvqD_HTO7PBD)GGg>jTx6s;xOiMql7Y5BT2-Px!mu;>Oz# z&s3ZXXH>z$4|v~N`L*Z^CFr3oq5w}(PBPHsg06ua0N07I6)YYCV3AHnVq6I*QEoju zhs1tVv1jEZz^@c`8D}CBZ}cLgmxLXh0v1g<_B2Kd11gwc>E&m4EKob+Xx0=0OPez=O(gkxmDmiUp zmng>s$z>B%a9N||uZd^OdTvV9Lq41Mky%Re)`X77CCUYR?#>F2$M1xDw*htc*CJJE z{kBB*xj5n0~KR^+s^=(0;?5yP2iPw;jZl*ESOvG#^I+(L6tck(Ef|RpW_YvcWn5cKY zK%xd+Z6p;NuYA+a2gz3OhT{COnZI5Rm05wZXfuZMZOp$#{ruMllt9%q<~_x=*T9t> zbWIwVk%sNPEfxy)A!gG2s(elC8RCsRAxW?R`3qje`~>q=3c-h!!e`x0G6|eG#j?-3 z468JRFoKTouNm0qDY4lmB6tvfg0LOoZwRNA+H7YdEJwH*?0PkRA4PZy;m-)KBfN(& z?sA)L3c@7_cOd*2VFt=m-t=TqWge#6>CIPw%C#)WK_QRGN=_z^n0`}tKyM}sBrn~7 zgqJbSHcRpV&(9FQLiFHa6GuskAdXct$41H`K5872Gy{GhE+0*v|8NN&wFd}VwCl6z zvD{UYq{J$L6EYS=)o?8ril5#y0MNB4p$d58;jy3YJtH37pOvB)q&0wW{hI#J%v)pg!JpG{T(V$fZk3S*OzN6(?ia}*|G6X7-wfj6ZY^| z_-}0Vs69Lp@;79}%>m6C(o`GXY_jm4aWvqz4L+x)otJbBGY;5Kmaz2THG= z-f(U4ZrYhGe=Mx;tFdx+_>-MMJ!C5ZRDt|Kywu6A%o5baBmvQUnPhBSjJZgMKApQyh^5K+TdgmaKdI3ee$60%?zb(tZ)t_lERN zY_Z_aqQxN_&Bqj_?W-UxIp7so=V8E&tIPrS>rFITYuT1r0tvSaPoNooNQtGx6K)%x zP&+&!JUn6b@PsFaCtyWAwAt$63H8Gh+J`5wFW9IK>b+XFF=>!OSz5r%ex~w{f125t z;5@S6x>qqd_8|NdfoCvA0e6!SiV&_qs6<$V@EwFEga;5_NBB9yO9*nbQvPIEk6EiQ zEbWwbN|flaJf#h6)*Pgtzbppn6~8%1<(k+xDlcs&7L_%ZprpS?JaE{-Ygm);ANA|a z92~zl?$z-;0Scr`Ox**EHfqxu%zkM~!*1hWAk$3NsV4-_KVy@v7BC zHwpk6HUVfvC2M{y)A+z*S~H2kdg1#rlaQD%G~9(EW?{5N>hsHvH7-RCdnjKHFE{}d z(hM@;m6+4$^(!wCJd%xUm((C*Bm@cn3|tG0(pf;>_@r0yY3z9?->C_-lm;W5o1}=#XW;1chZ`WXj z5S#D`&_6H@DxOGuR3`3W;%F2)uA`9tn!jTj+70S`M)(sb@8Su`w3XE$LF_!sxoUO9 z^cS_5oM}w?LV!8i)=-IGj+Z%9*uI6TFZ`5%2Jr7of7+D`U=9X&l4hT|#VJk(H*a&a|w8HQI)?FixR(3YolD(L4b(Ts2!f)?Wm+YRyLKV8ep|WEk?!1z)fr;(Qn~w2MqDX zg(6*VAC*quV@wi>FKoz5C+?)hFN^8PolQ7+rp6j!K-67F z6*&Q2KshkdY82g$d>ued#z2o~<9JKJo;r{k#n^cRil4kqXdYg1#RQ zOSI@}K0TM)z*eGb@L)ECj%P*6Q2!Lv|MUCO^aQHVjB_xUfhn!G$p@0A(z+NALE!w4ld!`?66E>5#5JPG zZ&(HQ_2)T$h@uoB*8MYvaf_u4Ssew%;tP zwTaX#Wa|D@D)WtVWU7%$WxnB*se4nY%r}mmK@i(SYR!z+14?T-=BHla@E%mwY$B}7 z->OUbCleci*ettRvsqocG4v@eGu;|&ehqRkV^jQ zY%a(YXG``&;<+W;DV|qnKW65;%zV^_@-5li4CMR0X1>qN-)rVq;Tc4@I@>@3sAzR| zHBuztYv)06jMdsVxsWGd-CL)va;VvhJt3{8#3;Xp$n3|iSNLlo%@xq99U-k62NA0a zuuoqC6Mkfbs+E-tVE5i%z+$HW1p)T6SJiz?iTqpD<`(!n&?dxxf1tD?r`|1Q%TRr| z!YAiTGGK4_-k8&HKo-ucpDp&hLO4YLn3KJ;^m(IP0dIf9D1U6GeWn%|K*YLcob8`KRO&%n{>(;$5wolN0mXwTc`y=Fb8x`A9^@s)-m4WU0${Vfp}J+5OtZm|YQA zd7QbWFG2`r!w!!zp6O6Y9{4+Wm8#8L8q#jYpxunaqc^({3K1~CHWWrdi6AQ{wJgBoj4 zV-0GonU8?hYicfd1I=w2b#emfG$5L9)!2^yzt)cPLTdJ%bjbENSQQH0uhUDEu`G|UQ z*mm@lLewKAil(|?I8{D&N=_3;DB!@KV#m?C>K3WGl$t|sOgco7HfI#Ark5oZ$ zY7jKOSHCU~&3JdQ!LkxHmpd_>H>Gv|4Of(wgv-!gt|0F%4Fjsa+yn0!b@``tA#BvU z)a;MFM;p(@!HI#ZJK*gO^wRx_jwqBq^m1m8h3D(QdwLIOr>IkXh&x7T4N}P&vO8d& z>b*O+Tt5!6_cAyhDw&P!zZj#$U~V`34({4j`V5CS%UikBNCwF@Dr=1+i0Ik+C&^x% zCRqDp0ecJnvyw6owk5#?M}P_Di~xTc(a!w*&FJj@~eVJSSq z$DCd>r;0gy&75koyAcMSFcm^0Kzo3==2gjvuk#o`{R8-4wi;Vmm+Vcx>NS)#w}TDp zLRs<--U}up6{m9eVzvAb)#$TxAm+VW>Q5tHFu-*{eIAD?UgzD_aJYCkP8fUp8*k@2 z7}$fq3(E=luQ+q;0N375Y&rpt{UK@uE~Y)kG!N4{nC4?zFVm`+wwGzuOf$q#)Ur4B zLA@*o`0Q_Zgqp{7IrV1=W*S0+GxZ$1x2Iu5vUjGIV;59Z=e;hc;XSoxMV{Y#q<)6F z>|^3mz*kaQU+4;tz<+myp8wLpt=kQLv_ow^z;bx!-oNO07o9&`?-z_%@;fwFGE+x4 z(B4S4hp3h2PN!wCU$`f13DwM=T<+abf6tuQ_+YT}-JBHv1-_R0OY5_8B6IZXCI`G* z8Y^NmljVA6z}wq+Sy11?0zjw-+|$Bne+r}fQy4vnxA7ttm<`+UtCdamC;NiY4?Sr1 z-X8_@*^|*1RA2v9DFM>_zicV{laq$s;``T4Zg>X>#8f__tmYYMH8%Z-+WA5DQ2A9> z%cB#aLLmVPu?;&($bgZhcRBn@08CV}|9{{d=V*!Q5;z3`)zJeg@%(39G*SPx=T)|$ zmw{|U&J*QH59CSjPU*I@-1k>iEqK*cxh2*^yG`@$B{Idh;83-mEcfbpVM;1Tk z`dVyUo9nG1N8i<&4}2ZVc&*!06rx!n10u=x4(Oq12LrmXMW#6NsA%^cy@V zM8(#lF8@2a@S5=vJkV7A8hDg&C8}m`bKfs7A%qMRGv9M*DlShYgOKCvyd zE%1;505F2}D~1_kf8u#Zdwm7)TSi@^zj3s=&;>S&`oZr_h85KPne09fD}o*yH8zw( zjBI~6{)NA|H3;+zGd-78{VorV*@yH6K8k7m8S39`Nq?MLyK-Y+sAji5*AbK+4AzR< zTo0cPFTQdP;wVG{-h5>(uWo_Fb}4P2Kz75o6!7j=);@*^i{W~PQYfx4X<^_YAe_Rqi$aYLDsKkO; zQi?9c&0KcgM=8=K z0i2E?N(wSjG7s6r_!=+E>0L!#R4MxF1QxJM8=B-|jSEj0sxzz?KZivs6RF(W4NZiN ze1RV4s#tXC01L61ox@7YA*fCdLAO=%SHnumdY9s7L1?0&n{@SSP!|Tj70kcf#FPK9^hvhtEi9U>BBt=FNF3`b(v9~?VUDgXa zR~0N#=Jv_=#rA@zI)RCa{cK~+?i~E~4$t0#Y*9V7MKY>KF@ey+p$L7%D&26>(!=m` zhgBNR?nCO9=wFydKip6y6gVN04F->i=exc5z=my=j1u}_qk^O zk&s5O)&HfEkbcQb64HGqE#>1dv|<=!>6KP#o~sJdPj)M6_UqXAagN_?tF-Iaz zOI`3-v10i|u2|yrm&+9k1SMB2{lec= ztXC$8^~#7qX_X^fU@ce%QVW({4R1h^q~i`Skm}7qIeI|L$^dS@iPD%d;6#ML!}OQ# zTwXs3k{fLT{>)8U(G@HlJsI*4YK}?)jB_wc)?IiV_DT?%5Vj*+IuHIp8R2EbTd&9d z3BnTyI}w;ah;R<#RR|v<1aH7OeT1C|jvGOC2;V_?6k!$8Uc+zpe2fXg4um%l_9G+^ zGF2Wb130x{$wzTC7?f56>G& z_D*Yfo0h_%{TI52)uymNiz{%%K0%c!R-qB8`Z8c`fiIxn<)%^ErxgARi)TpS%9?|a z14{r@;%-beEOypRhOv~(ke}fqIy{B&$ zduXd6t;@YV%GxL*=**O%Rqw@4NkH>CP~}8and($=Jb;TT<|k-cAW%=ETsa#IC>L&4 z+P;EEOq2@`t}KhbBwdxL3cMs-m6QcvJHv#=`L&~u3svAg3A=L*9foKSHrihy*FT8( zrz-Fae1!|EfEi9TRFyM``Y(tp_g{vllvWS^tFX=Tk4B;KgP367mKXp$>!D^5L)01A zLDqJj3c%NVikysIF=JxYfJeCzqW{9J#NhR@8H!%}7D!h=N3atSES)e^JYki7?YY!z zPnxe`*9ksy=o$6_H9zD`;tIS$bUY6#Afia&`p%*)YE37Q7+QX?P7DHkIzv;1(PRmz z`tIqG^9Aisb#Vqvb&5g4Y9TNcy3UpCHgzmz)t)J zzX3fND1!HU4`G+>5bn;qq1gQe`Tl7A)P@fcJehO@)$UF#?9Y%L5gOjx9a{|vvitZo8 z=n?pmlL2ocoxm3$KUf18;M`ozJDOB|RyA)e@?lokWnEdQi=#*pEkPnOH=}W)AETqR zy$zlyA21fX@gO_mgs2r`S(rEv&;ery@BT{UOm+d|E2qxFu;}_Bt032AR%=$;N2zf+ zBx(1eUt6?$E@CPEvnCG=B;cKeo0+mCD_Mi%tY12Mr?Ybc-OiAHN3~M81s(r236|ht z?S#jL=XpXgcYL-U_yCIaLV8{SAq%zvJ)KJ1duU1as9<(Y{Rh*PLa^h7aF|^13JL@U z2bH!siU4zBusLv}-?JJu$Cw=rOf57Hy~~-sM?PY^OpZSiWr~L&_-5-N!r=@J4x%B< zZ)e~rs26cN5GVaEr#cdUq5*@hUWwl!W|4K<9uqNBF-ifwCs5RdPM(CUkE5JYcpNpp zWMKnyuKqkR=jt)%q93Ae4thN);O}^_2noA3X+k2TCLwX>M=5**8w*52ZmL_P_x$>) zpq4~d2B^^@6Vw&>4d^=qMO%V3ohJeHI^?4YPJSX!S@gpUi01)f=z*)Qk|kW?;bIHa zNugMdp!ut7Lhw$O)3WR$HS1AN)-qZrWzALd7cA<`Uh{~IfS*SEA@i)J)DDhFm zz(sd(+I6CA^eEWk0YprJ&|k-qngqT9s=1E?qrB9q1twLa+hb5I-_w{X8PF<%ed#(> zy6T*iNMQ{V%^Gx+6#`}{D%f%q5bi=sB955%Si{VsV_*iR(ty`O;$%T3Ri4mGwBl7#eYF0(>MZO^js#v4wMZ0f1#@>~Bo};ZV1(3?Q&3TO*8+%g z0`VDv@G?e4G!f$K(`+w(9eejTfnE@HAS_)7Uyh9M!*5_8v*zTX_GX!W%_5s^%wn7E z9|&iE(`M^O=t15o8ShmhPW?_C&G!LVs&O6#%Qt9bE;w7OHE=9A3W(wGWx5w&bIi9S z@pC{+W6BTk>s{bb)~-f`4h6NmPOjKAj?s<@`&ghPCkscvuqy!qLRCgdDUEv#Bc*TU zf&lNe1g2l6BBCyT6ZWgcP{gn+fmfzr)Jph3RS1RtL~7;y&0paemjM8OY~wq;C$vt*0=F{Xis>{r@w zI-c2|C~Z8<#6$zW`eqbN^nAX=cVJ&+LA-)9#!PxpIEW+ZU8QXtl0wjt;wY3ps#ji; zmo3IiY3WCXzO2wM?)>t56ZJk-|88}reY&z{*X&r%Zg7UpLA|@Os9Sl?Ia7Hq&sMZ6 zG7^Iiwe0{%;wtzf2E5xF`a5>8Eof^^;@9du++?A{Nhfv=mQT1Da>%OT6m%0Dz52qh zupx-s&E%33(SyG$Z8I?vYR$aO(~%U|HAo#euCz^Osvg+vld{Db>K~NMe^Kwi=~zWW z+>G6dLwfiX@qhj#*EYK*X9oN%;U>8#Dmh|r9p^(85)Xlye~RCuU~}^aL5ZeKN#PkTt7bk1W;pTq0&^?0(2RvltDjMTZsHOJ z<-*rjV&_%*c@CV5!I!R|N+Dg87s5$&!L9*t?|yk6m&g2=g(~LFDAeBoTjz|}Et21m zt(C~4FNrjC3NuJR;Yrj&U6Aa031fmSE@VtFw55nyOF{8#nN>5a?6Y76o(WV;aBYCa zn+8j1ZAX&o0^x6gGx}IO_zLmRb+-eKgvT-X-IN&)tn~|nnmuI%HtUCXsO4{n^JMjt z(L{k|QqERAf&t70M)MaGW?JvJZG-0*mN8lu+H3ZR1r3f}0m~o!y}KttDUDl7H&ae=gJWs zoHODGAS)-Ji~6+(2oz#_0r3M8to(;15cxl2!>L1Xf**62SX{m9DLx|ny}*;Pv?d?Y zHzUu7+c!{oBsVr|$v|D}?uPGpOBrI1JHXhkaw|BTY^4FBt3_-}@1f_BTjy^-@U&EWXPTTEv= zjoj&6^KCUg#{m@DD_p|MuCRL@irx!Xv#sDSs(w=eYQR1>3v_%=2E%4$MgD?;KT4^< zv=mJf7T8m8KMl7U3dF|Lp>l0vkh?x$`*M3~yg!ERDO3x3Wl@-j3eX*8&2P{MHxqu! z#&ATwHrUezoje&#c2$&2b^`y>fKQ$QyxL1RNV7BSGuR+;`jg#U%;r|M?jCT5^qx>r zJhgv$a&|hkQV$lOsz_XRa~Na+ZK^cuWP&TePwnuSeb@$(hqIoRc*~`D<2V&zoX)i- zoVY4BU>EW@kKQ*#HUR#2xtK1ZP79;v?#s!}k2YL`O0OPL={$Rhupz=8(lCLlgA+c$ z;e1uUwjdeDbL61tA6bR-dsGiNpB7|s%G!s{duu>b{3GSBjNVkC;ZUk!KWHtp;mK_H zbn||IFKmC&!&dwGlQNpd{^Psf#QAhwYTIrf#vIY|tt9j6RMWh37etWRXWRf|wiy(C z?z8%geNZQzex^~}X3zufS`A|V(q4%lT+usx|1#~&0+>uQoHhHtO=xb-goZN_gfSGP zHzi2$yt_$&^k(GXuqkEkKE`G{$yGZ31(!^%3`-JGOtf~AsV0W#OU@TJ%)~HVnF$^C z%}a#pVbVvOfc26-d|V;>=ngyt^=-!LLqgBZmz%isnzmkhSyTu=9DQvQY7XkJ8^3>m z>^__?cb78@A0MT(jYgI9o)QjL@WG~QPpxqe-cj`j-K+zS-om}=TSyD&2Zh@T6J#Y}zeAX8w#*4mh7^vcviEX9z-%vcT$P0vUNIi)@y>U0 zBz&sc+(iqbF^|>O%oz_*RW&xgPlb~S+~m?uYp6&&zh`C+kP6H8Oe_v&IuT%FoasU+ zM1T+5%n}420xkoZSvOFUtSHbc3V`G)IHuxFb^%To4&(hpqCE(tIGU`|ruU+C6s)Mi za;!H;TTvI#?r{aQ74Dw0dbY_9oB>58_x=Z=g>|qlX^$-{N&Ey+X3h8kb>2m7OF??j zM9K<@g_ZhRaa6M}Jc|dFzRH72<5}82q@sb#nRY$)u+@%x#y?f@&fP6n4V=TYe3ACw z#}DnUyxDiv0Ikirn0sqc7C)8DYzt&BgH>+3K-L{EcI)*Luzn)2TMFsIb?S& zSX64_2u?Ndp5?xhPB;BlQVD{i4EGm2iZ${V_zUg^xu@put9YQo@C<&v3vk~x%$=}= z(qZuXh^3tag2<|!EAIQp+e=*@2a!L>2!>fs>e9I#u;Z( z!;5WTToLi@#&6!ieWw+9`T+dX_9|YdKB~spL7{IpZ7l>vIagSuw6>KkvYs>&PnfoO~3gw^mL*^5MBgmJ#rF zHoOz?9>>Ps9A}~eOJF}gy3zU;Uej+JFPuF=MPOgKqEpkFkiqdDhZaQ=d`k}&_rbf( z+iPmHupq+Z7wp`hlg4+2S{Z9%4N07Lck&2(ev6Gq)$tUvIq?{>H6b3rnItT9ZR2Z->EzB#haB{pF?uLUvsqngNcn?2XMM0=$ z&Sc^H7QisnSssR|`=l!1UpP4n?uB#UUf2isLVt#PAtWMZZ0uUoy%01RaP|XFPQ*ga z{lJpb#k7NX8!t-tLbhtT7oyF3e;h!rz5}(_fAx8f06(Pwx@UgJ z<^5P$eGZ5r6uX4>Ra+?gKf%s_z{jwKPax_WVU4_64_z!g0w-eHPk?{n$jFFN*!2Rq zR9Lzf{*y(p0_Y2$f+FKevEz=}g?ubRK4uPb^RB<0#)c*EOWYoe zeyn;wzV|*|!iEWB6P}6aQh@MO)Ivv={)uM_fA^8n-(6CChQGU2R6sS=91q=&sR2J$ z&2H+?kposa3E@c!z)e2drFvJn8k&=H@}Ll0#NB|;h#jmI>Bzh-BW{WXrb8mg^Q>R) z&!{!wb>pmdDo$`|WMyCI(unoM_pi_W0)NIC-nn^=q+@kiT(TU0iC7(^&l{ZFzmZMK z71}V@fg%2lAE1q}&{(vPMtGto!)-HTd4fG*%=%9Y6n*@N^{0$2O;E0Yztk zmbvtRT`0qkL-;X#iL;{^)U>yyTrhm8zvC3*U)Z6n3yu6GSkKjQ?ctDAVy%PC_~349X?C3tQM8|`#+O6e05`S3Zk_)&}` zp+?Y|68AE%!2&^Q7|_Ep409oVw~|;Yvv-y2U#|;z|E{#W!Itroyw8wF4^pl?XIZX1 zvr?MI(l;u^d@iaL!}X1MY0V-- z-?%cB8l-&dR6{uN^0VS34;eNVML)MUp5xcPU55)w#{!I!nLPoA(1S63xt%FglEfgv zdM?*@EpLzuxNF-HDzS;Dm|RX^qo@%Xi~N-dUD? zg9jJh4ZH6SWE{}u;kJ03GTUJs{Hs{o&B9KjOj!FL>@fjusK)sC8t*=<5*MM7`eWQ| z!AtrfT_u^V7EOt~!sjwY{m&0fIt4;9b0s`%$fxzp4z(F`zpVIHiP7mPi%J=b=3ZX_EOMibd#H`kWa_-_(gRa!3xbTH*v z?#58>#trn++C`g z-HuvhqY^gUC9?ow(byR+*84u1F2^PQF!X&rFtHxA*q94s2{-Mrui_1}+BJ#;z`<>3 z%?LyQ*jNLZ08G@x4VpA0SJwn4))9o&6Ptjv=->#Yt$!pa0z^=a=_80B)zRmWgZji4 zmgs2iOReUnn5a8%NZl4fRrG4?b`}(c{s~`|GyqniDi(SyRj7-F^r*1d)NF}f(VnHO zxe6qQG+J~3L>@QdGN~c4MpV2-UAD^{|4Cx}P@KD8l^7yM40`@6r8E&HARnR4)-2_V@*s^yRv2? ze8lJ#vBrrANBuC$SoPhB`a-eQ?p`r#w}xVJqu1C0uMw18E#|IOxLh>8)!22!j;*R* zB%{;qsZO86Y^s!*^Q`qpm;|(yJqZ^WwWe2%<@Bl9nAmrOHv2MMa1#bp<9fRSPXUDJg()n$Vw zbxk9bzeJ_%^>cs8>~*w$GaMpY+bq^I4H%FF^C4VOPQ)Gk>sU+ekXi)pN-}ZxqshPr#B`jd4VLd7BUvM+8fP#4v zebmXX+niwkatg0>X%#c|(Msr}zlNt3oGeQ@z`lN+w zhZfSULZ*S~x{~PKb@m3hFo5J)lv`2~W7Q}MCz4y-F8YexycC`g7yLtbi7L*SwGhag z@17Q!0xMi|ngf)VPo zJ>rHh;kHsOJY}j5mxB);RF`kA!}C0PaGZw~+2L6@kmK;sF=NMy9JIfK<#G&l`Sv>I z1xAUy%_46zVgE6aL}$8yvf%6D^2cjy=>l=~dG~^6BQj+#4*W59%2ih68kx0VN;$66 z@qXGkgFE$bQtn(e8t%lv(A=W~dGyXOUi>M2n+Fl+VFrk2cyw%I46JCuQQ>uh?d%=i zPZ}>X>xi=smYdrv>WCY4qK;m4WI;dv&3~P-*I3DxfgCt~@X|(f9sdOy3ULJ-5Xl^9 z1M_kBBP`JA0iZJsm=sI`92?XE{owmYGD!&MM<>=%SA`qV9lfdP1g`gOl#@@23c-wb*R) z5dMZRs?}z@7GWL24g?2Q<-bK}Mwo^0Ev)QUBRqrfTd0}YsFPtc;*X+zEBpv)RC&$) z_AfcVupo~I7_9Z#NzO0y;bVAMMvlVyg~fRdZ&61FwudkLE&Uqn5p3<_z9Sx$@R-YO zY{cQ{LP@a3$oM)fd>MF2fLKFNr%pgU5{r`kh|opA7yTT1buXSmxPKcKNWb3lTMw2e z!R)T&{`8bLRn zMw_f{LGI)CV7f`)m4y>g#56~I9hx-WdPHcN05f_*J5blZp3zQQk!WYZl)}5DN2SC9 z`%T9f;T*GYqEB2o8LHV5T-Ha?Ok~=W78h!l0PhuE%~NhdCBh?r%3Q?24yJeeo4B3w zD&%MM^PI>jylM;g!oc6M9^k!?x>Q~47G538>qS)VAL9NhAPWa$+Kq!h7x?B`2GRZ@ zwhtefsaz@AmHVEj_L1+hTCbxzGd}*9CqN+=Bvc zc;)OwbzEYCdKSw27))}O>pSBUsCocFY30d9ctlMtQMDEU1RBC!A(j$IoP)+5MJYf& zWxqLIAS|_~&4B8S!LSYd;Di@$Ghg_9`h}|W3yE(IS$oM@(prLdh79cYR#^jEhZqO; z&2rea+CM;}0qdz6dv`!v*bn6_@u^(7gyffGap2$#YIoea zP7(c2@L=rNI;4hT)}e*^b6_&Y2V(oNTU=2B@twc0fVKW?$a=_xpLfbz@MGG{pVGBb z*hK|J8h>|yBQL{ySRYJzEHkH@Ide`{Bkg=vjc@~;KcyD$Nm5^eSQ;awGGGJ_{C#5J zcN)jH4C#-F5vYxc4~8t$OxRycO{#9CEoNf%`4j3O!S+LYOl&w=C96`Em@~68VuAZ7 z#4K>@3ORU#|&@l`czx9Gul$xTTRq7HnP2Q zQ|)2*d?9tx#9xN2dWa8bqEF(jA(%fBwz~2WVsKdRZjIMX_f`}(!b|fGYPMirVAmE` zjNFdL7Kn$bh4?E#Ps+A-8po4U+8`U#!$oy)5ojFU;Xry~4^}|ZcYdE_r+KNKX0fM&oyL5h z3kyP*K<4J~Iz3S24&XGFiw++KKMbz-((?Z!6oABNDQZF_`f)a{JpI@np2~j{`EN9x z6HW&L=p3-1jhvA5yr7NT5$8r}Aeu(RrxZ<>^q?mX3N?714QBdlC`VbQw z)3n~Dv;g?xe_glP{)BJ@VbN-v?KcSL#&9?M8VCu5abW&du=1?uri}a#5%;aN*}jkP zUj#o)eJq!UU6bD-em8!9j=;3n@w*Uh+?EkmBHn=TH}lt2Z?1}&E*srg$Keb{^ilad&pjW{ zxELOAAb-)%gq8pnc}tduWGeIrKCH*_ead&4 zwBSu7^J3iBm^ClUXA*Zu7=)fAS? zm1*FHAK2NnZ@bd-@M^tfR6A=*21*cPi0L%aSjjWpq71N z0~KswX1alE^cFiCs6+$!n#S%1SGl*!**Gbv+pve)KN!?T1$Cc8#EauWZA^DZl8uWV z2@uRSGVWtVEmdr0cDfljl|pnqD4L>k1>>)>hz5cxC?_dz2qXjgQ`9g zlQBQgi*r#Yw3qSyJKXVyOIz^WHB4H5{Z8E1;^)`zs4c$)IEA+SM?{3SEZ`BAcj3;W zW`7qz?J)lOGCssx6LwcuwjOC%DL&m+oD3CxCij1_{&9{6kXWHQ#~4q+8%BIlZk(Fz zQKQ|Cp!azF-v)5;)fzcYefTK3KFat<68jrwnjUl*d(zLw7RGz-V|o73cUKj+RB;QD zx>6KJz1a(kY~+(U!Q}of77J=6?<~gj())COp1&s>%1r7W?V)!U+v{iIMik-6m@=x_ z>$1XQI`$F(w0BcC?+~r(meN|<*7QI(J`SI{(l`Z8=GTg>{pORw!_HY0`2P={c-Js^ zunF=%gU4*wPZSONWH7eEmXSPfAvs{9#bcV>V3R3{)|b>}MZVhlX5D4p1%-_l8COaO zf_j;y(Lpc3<}lpHdIBXrc9G-9eO`e@@gR?si02cLmU5+cnK0tROgOxbFDow*m6-&v z7`K|wbxU(oIc`PsVi!hyzfl~bi-T}`Dzm#oMLj3=$5vYYipt;>T@DwT?dHz8>CeDV zUybCaudM5V{>gS@6Bb`1x6kjHXKtVGM7r2M-z)&TWxl&dTYx1E&4 zmfMY5HooOMYreXCUx}K%m+p~8Z}59sBinN>=LMCH!M=z}K^ua{Z*|hR;rIhx?Gid!fLPxc@y#v1Y ziQ54>u$DgqSc8Fz_sbCE2iOta;I{JUjteN(ufRX<^}2XEt6CJpO-nfc3$6NV+W~as z9O0C(!*~Z8rua;^qUzg?KfS`Q+9m#j66Jb>dmuLeLUV<1l^i~*QiXb+x3ej4_$t|)}ZS=;4@D=1%II zEYfZz#1Cc|DU-9&d=^o;Wemoaaca@DpVhmardEUblEU;~Q*2F~R6(I(Y|Uq}wUm7= z#oxLGfBS;tdpz+$-nJ_RCr*~Idcp|~5YRA(_{{s*c6+|af9YKBT&@5i2$qATX8Y%p zUpY>49~-eDH7>Ki*7u{$u0jtH=b;W|nC~!tsV^)G5+ailBxLRh8C8%jU=$NfpCEGA z^eX}Vh7A5cBjDW`K0l2d_9E_; zGMqgwV;vXK(p7&pYtrXpqQpxA-hi{P@l-G^rw1w{CJ6OJD5}=2^h4`U!55sLap2-Y z)-ANqY3At9@&+7*jrll4?qIc26Q%yi6`6Ucg7CtDX+F*;D_<*?bU!AlUg~mj49@b7I#xLq$hIMQ`DR+BLD9AFw&P5L)yK z;yH+qmy8o2s9MfwBtReo9(W#&hTG4sAiTwkaKcn1<%~w*F(~7})x)k-A}+?XN1mmY z?F)Hdy>|k9Yr+5U#?@L*C-%>fSU&*k#YI9&p%aqQMNc^D=|A#(*HC#fOn(yySlmsS z?=c{7ImMkRjm6BhbTZ!8I7}ZK$DxW%*cpJ-hOKCTm(5aw9sy>AKE@$|BVsj40X{{G z3OQ~*p^wGJ$0?twlNHAyN~BI!jVm4c)YxQ9maS^hPT`?x;aBKqrC*?*k$j-0@%S>e zHHcfGtr>sHvPn%2XC|n=y@3QsD_C#Kd~~}l1;F7;GB4r55h-M8PAX@G+Eax>=o5Up zGm-0=crl(7XK7~pj9(xk#W}_n`9syV)PN8P&Y|NmOumbcP-n<@+U!#D{W!WLnDYmS zc<+MglD?)=w0n$~;e`m?!RPG~auxQm8e}uB#K;w3mQ`aJFrp+g%V&JZlQO!@@?~bZ zjGY--E@tUvg%IO&GW9jS8C!|vr6tdCW3DOBA=yoN4$00-f+5W**#jedTrX3yqq_PR zi7yW&dtp*1rX`Cv@sN_3<}>GP$;l+UM6oIFAWQ$p^1V-~`L)kEkF9$@l< zk?zV^-qujjR#SjEhMv#oA%b#jXj|v=)B1xp62^nDVG4Rv%BRSI^8Q`)8S=<~(koam z@y;!5ypYTe$Ev_5fb8+T8TiNdf9ZRPmxTwVd7g0x#_E5Q{0E7p)}%_KdIs`~n1CZX&Qp+zBLTczmz8Z&u2G(aZmn^1o2Ze-q1)($h`(pT;Fe zEhV2*=VML%;e_`s{o#M|zMG>w4Z1__s#7z@8s^ttRAUMCp*3aFJLUw+1vPu6z7L)o zs+Mg!qnd^cYMK17Z2ep|6cS2`7Y$)l;xHssL!0QG-gq8_J=7npnWQZZa%pBYY-znd zXfL}4QLCJp5bnacU(_lHTbK|8!BO4_{$_0zW4`CkSxnQUbL>d`25Sa!y2?D2|F77p zWJ(1E)66&sPn%c|$QS@CYiS%40-p-L7$P4g!sOo8WaFe1EP!%o6e6q1T*@G zArzOVShf|os^aTBJa?SBL7%rMigg>693PSLB-fGeD4F1AC24mx?0`iy- zKYa#5$UB`qH6KO?ytAj*L+U{TCxKAi23TSxM(CL!ZA=-dl6q;66BvM%n`Tj*GKB@K z6L^S>wGQ?c`mtaZ)Br&!sR0pORG_r{5fNBHm6j)&BD9JcoKtK)(0Gav)KX`JA)8eY zi>j*s2WpAYWSF#D^)Md(PH##>jM` zdg4eA(-DW#sqjrl##@Zbw_@Y-nCZj`c~?e(gH{2do!%#obcJ+w!n^t2bAm;0u`Fta zrkZmq6;)AQ&r0d6o9q9Md9fLLwwB3J42(qz;@8KuLaj*+G&H76v9*iD=gNekoL|OP z);Yg_z-2G*lAn!3`b2_D{S8SHA_|P5qA@cKpCCP&oGK~ z+6QCfeLR>PyT@+);*a=bA?*C9bJkKSrchxx+UA?MCm*}RnCdu<#!pn{hx&Oqtse-J zzNA{iWbLKN&}KAvi975$Bi;2*&c7KqJ=SRSBx z2S*2e*i$ms!%zVLP0*9q1}RrVOSowrhCQUbBlM4JQ*JoQA@(GAWqcz z-K?#~u4QvaB3J+qy574BBB%MIce%2~cTvV3nvcz4IFj`aT)|VW<}pzCi;RZ9h>;zh zg8%j~_A2o|pCT(V9(66aUu=Jl5>akz25aWR?tdzoSJg-7qo?;UM%<)&t!P-0>U;T!W)XPJ;QG%KF(lWr&0K)>q_ZGnKen6z(1NlqCFP2@%iIM!2F8yAuVnXQgpvdT)P{r<=3tr zA`_?;1^;PQ_o;6q|K_ue%C|!Hr{YA1`>W z>{JTfOX;TF>8X>DZkxzTX~#4=?dIcs-Z$$f;%+p(D*5(;CA56aHg!8BZP=eVUx)E5 z3|?5gsv!M`GF=Od$OX4k*=n5LhGsDH3n~N&f?stuuBR%pI=8Rng~RA&hSE%E)r7@E z<^27{+NJMhz1m;y?$kb>6|browPwT^?}2V%7jv~)%V1->W@xXE1D+@zgIZ;H``2(X zHxp?D0R?v`7W;f6-!n8pA^^kUdW1kg4+WV0+ow+YMz+Dh!BMds9KE$!)_hw-ZZ>C;AvcO@ zmPkcDuPpfVp?RfKAbaLDpw}w%TBKJ_sPvc@#bc5=t+E4`=>u&lmS}9_!-3Kk0-4(m zD7Oa@JzK1P^&p~52rg^qykyA7M>+m~dCW+L3V2i{LjfLLln1CsEpMja`+|WFv6daQq5Z?rKt}@y z0K@tRnqD{V$O0`sG|yL&7YuK*@WA-T8fY>|5cnh{(7>{2f(bf?JOXz0vHByX%FY{J zncz3`X`nLAoTH5|1B=2K%?afnWeop8d#Z%j16BNAZjT`W1C{-swTIR3M0HmY-IW<@ z+CIONmG)>IeAM-mvVM{~ zdDc&=M`SgON%UR0Y8nY2BVqbVlv&-b#0OWdI*p(oDCp};Oc1G#CFm{%?Zz(#C8Yf8 z^tE~sUwI498KHG54^JksE{Jo=9|lZHazAit`qH@%vlgZN(*)?jhs^sV0oubm3*)HZ zOHR!Py78O~k;L|DkH&r#NxKdLhMW{y3UieHAxn3N8+20sU7-=E-}Ob@chYNrX!_^3 zfRb*q@4pZT*Yb{$i%vl}LnhDTr7$Jj(zXw$CIX;J07L|Ur)zBM&HSqVVoc!SYO1te zx_P(c4RSRm1g)Yp1)mKtg5>=l7)YiHk~i&pnIQR--rbWwE&F-=1fCKys!>SpuPK6m zH|Omyt-w2g-um~&+^5^aCB-Z@465MHHE=(lKIt|U!`iR9S^F(q$k_=rE1HkEc|iWG93Pg$7J9?^$7TZ#)E(MXH@+2 z>C2MC;s5Rx{}BFsE3dD7X(kA5=fjZWt8$Asq0JXi7u~s~5@7FMu8VQKkgT&+^)u=sQ4rAJpI84CpHx471Tq!+&k+d64XMq)k`T52qsBqF{F_bSzI2+v zzXt;HC^#tjDDY>WF(Rw`+S=g`O^3w4d^+(H>W0TdzAMp3Z3w_99V#>j+xCc33(I@K zv75=X>J1S~&#jr8w}&8U-#tKo_7p4K)4{Q8mF`KUGnXLdJ!lfm&t4||ya}m;gQ5AD))a8EXZt7 zjQ0lrYb7N9)Q@DLBYu~@`aL1(PO|gGl3)Eva8;cCbiBVmdGc9= zi9nGWnt3dH)s(+NuuVgdC1Op|VLUkTC#wEw3vK;oLpBJddY`$6nAheWS@I2RSz512{Ec5}+Nd}xBDeU`5Xe>BpI^o5y z^3XI2YB(Vg%rde%*Z(pBPPilK@8V@xV$*Z>$M)Cs3fo_cEfA#?cah-2zpLx7<4v4t zUiz))%%GG4L4^KO3jW&jrg(4Z$=B(#$om{RPMIogf4urB`s3>?Pgb9}@)sJ4p<2X= z%Doyw{G4B#0m)3*Tv5%G|8JkA559bZsIUJ!l+~X1m#G?e(od?5@=b;3s>07+ zsqr!2pV#-7uhMtQKT#js77zAUqVheB_|Pu0+4_sA@QcpS8B6|dLc2>~UQBeNB<$zuNZp)}&J!5;CjCu7=$&N^dMoyfd~HvCs4 zPJe}lGc+@XV$V}gp{U7U#BEDdE`t~ig6RJW)GnEysI23e>yCE9{zbfjSEGlPa9Dk& zIT2O&?oq4Lc+dnp9>r?IWq5=c(qEbO`AqxP4U1E<0smzY_l0nBe7NG|Uw=;2)i}KN zmcKn<#Z19)MNlHPPrQ{?`hWQl_Z-?!K?Cgv=bFC|^sk%%zM&4#X4s%y|G)4(?0mra zrO}kzFyy>^(77(~X2x?G8M`mI?TGfY=UDuBm%bfV`T0SAmMTBj&C`?He@EG|g10K` z&@}Xba`VO!4~k~)s6M8Vl%h$bY|qj7@?yOIFmSg2bnM5zql(_9B(74DK)VVQPMt)z zmAW3vR~VXzIU;4A9Aymc7m0VTwr8iV3AJ>}G4^+j{W%py*#(iJfjV{>= zzuPU->kOq38peYDzu{eFRha(rUwaOVnMPiB7UUfZNQBNS=D26i&}$3YhFn|V6mmMN zTMLHbL8b>2mESnLzE21J>s8-L84Szy|A22JQ;HS?{DlaUchLu;18&}&NtToWN8Z1( zl<*vTT^Sv0?ybmM$}474emynR{Nre)Fo)-sccrpW;w*TB%Sh;@*ZF^${}<_k z6_;o3GT3^9cVPi1$lF%@RdwzR>PCa7IejvBHm!IGoygP20!Y&T6Y3P$3(v|kfEAwp zhcg9D;aT4E{!p9kR)r^_mg)*lZO@DCdbkd~{?3H7H%)K(Rbh|-u@Z{rE z#3Xb?WA1L+zdN#Y7e{Lg{a-nY>6Pn0NjbM~5Nqn)aBv9e%HRbu^Ca4^x5$7|Rfh{$ zGLz*&E*S3a|JT8Z;vs}xHq0zpqa+*uZFmw+)no3?a7Es1z-dIcwF>|HJ6gUN^j}1B zIeWCE(#^YpZ{xULy@9A)ouqklk#x5RlRN(GA(Y7i0RDqda8WxUOpVSvV9e&lE>E!vMpEqq%tQLA3g3Nd1=w{m+i2{!37OYnlUp`MSPBgV4On_fTkdw49(GI&SeD>K~4@ z2KvX|Ul7J2xQ52)N)OC+f#LCU)Ssw4N01BwBO3JA99Hqyj;J`(4M(fim4|wBWSJo^ z(%1W3w$;zCe1^$7w7w-l|Nj=z&_#m{{fKWw<=*`O@Qg*;c{;%@YGmfZg12oWJ%Mur zu2={4iM{pwF#Wy(aJ>CywIE@t4BfJT2RDER0_dxQ09`A9%${oC)&ig!CyCk^)eB@p z?k#xR?DXs%8DjK3eIoDPf~>m`rTv3@3$)(pm|>9?CY-oiPLNq|S+4&a1NF#%U~tLH z(1ULg(f!PS44>?b_mTY897MxM@>|cU;I}^O@mu1+kM1&-@%&1^&+uDW6f`iL9=~-W z#aMpJ6Hn#(KS$7@f0d*1TZZAclO)4$Z99(k{O;i++LPh85{OraRsN}<|9^#-^_>YFw$+=|9P0b>lvleev zqo)S_C91b965ruDY=eERBq-$0&o2%oL0tc2@3SNs;Qr^KfY|yCz1~wu^^^W{SoQyi z-}@Kxq)Y$n|A^oF8hQUQzZWEx_&wl)*mC@MG=A?>B>I2N@4bwtIcVk!-5r|;+bsNt zX_JbOVIy8KUGqzl4q?m;KgRSRx0tajVZ*L$8=Mn%WHb1b_fs-s;%B*U=s$9V0nB02 zeV`VAr67X8L@rXG9P2xl~G?qv^!+~?`N`4**b{$9@1Jezg@9E zRjldoU+MF>b|oGVhWv-Z7Iqw70Q7kat_rmuUWANd03AL0d?&dw`(X^n{J-G)AMb|^ z8ijEO7{DW3cfD?e+q;U7h8 zhVYMS#oVBOR{_P%7QRejWZ&k?6x}*wR&ah+>8kPQWoKc@yi){A)?p@f8MW;!6VP z)6I$3k1mz%PvQe#^Q`mT`q3P9T>N1K#aM2%kEUh^VyU9L$(ptJ4*dH>diB%CPrhFA zxxxU!GX_+z#IQs^rstG(FSd*~rOZwF_C?F+##$xfzdO6}9gNpdk7*UB6R-|x7HX^n zH$acPVykJ2I(4uqgj)20J}fX7yW{m5qVqx|en?x1V>1e__(H(Xy-`h$y3ZIDWa<6R z3;iaa0z>YzGBvABpPSGjWH0I|&e{qjB-K;@7IL5CzMz(d>fnbrTwjwquODkOM4hug zoRjixjs$yGl#z{R0j8Q5mL(JQU+A==wz+_bzh!K{$ z7^}6k531D>ZA(jg_BL$O@UpdLkUwJWnD2+LblCxLVR!oHi2NS9LddNBtS z^H(n>P2t&%PXNivQwH>3N#JvBYTs_WR}$OY6RwyZM(PS}{>3Pe{Fu-ai-FYGqN5tW z=_Njbm5YgTZbv?j4rc!<(n#U3dk;U6rTsJJq>8i)qYPs@*o^7m_mT`s(wYuBYyX`{ zdN-Qr_cb?0+qcRtuqL(OLzx0fW4r9t7~Nu&vkNS48u>Y^p6mg0O}S{$7e|auU{#k1 zpm^B?RvoZkWxI8OhW#Kk9nF2p1Q>>x&D}0T!rEbq>J~4-;Q{*l>3j&_zy9uU`fKU;2u1!>1l!Q>gCqI; z+>T-N`xS+?>^wX_^gHLTmVQ5g2y}n~iSj{$eowAdkT#G>mMD22@f`!72F4rz@W!%f zK%i;vYa6tL$?(@#s(NSF;nj=&9bPT;d!ec|^xIauo^Nz)F!>Sv9xPq-vm0sVFtEvg z%3=A>wfQ+|J2L;nhvzR1`u{kB`Z?OpTY=GWrtR4jlAJFs*-tR|LH@1sYUG|3hvuy! zwkTJ7s|qhWjD$cxqYOXKrgWKVTV&V~Nc4C3qEdRfb#`!m+oV;KQJ!qWFw}M0XEw_R+p^?n;y>7nqj1r5CmjS>0dF9 z9xrCr1kufL)=~z67dw|4x0j`4lU+*gRDQdZ$QHy%MQG z&tXBis0#L;+kg6MQWu#84%74~YdQ#2Xx2434d#NN!dd1^x%dbdYMoQgSb$Y;mibZ~ zAK}8zfw*4c%$MT$2p1kO>*K5gHNmaUMoz~1xwttN+~=gm&@mBrYqV^OT_d*xzfp)g zFTaL69SC^&s~+pzUAJo-bsU~)kavyfd( zI7_Q!bm)>9F6|MTw)FMR}(7<-L;GvPmYWj z&QAq&7S5d^%;f@wH+IkIzfv7V(PP8^5|xi3VjWm7=}rV$uk`16f-IRdxp}8jDz-0H zt5qwe*BKPWDm7pWQhD8BMHL7A_o}FIcF|N(&+<)CnRRopAP+3dznn{|?w6m2JD|O# z;yq3d`Y%*bW6ctD2CwPR2LlQhgSH9g{KZ%$zQ7=n)7iL@UJd%kkj1%Og9I>8%8=X1 zuA~)^qQuApUAdu9oyC&6AY09xH$;m)`vQ!X$V7&5UIwF2jrqcW1wtml!H;c;RVr#| z0;F;9d=^@6oi6qEG3(c>GrlB@gAlQhfgt{MVo!zUd#= z>zn3p1pOa;M2TNFeezEaKa_1B!X=-5BI6C2R!31Yq5(!xvGNcoR zplCHp#|(cH=R*P%a}ov*Qwjs+?F7ZJfySDmwc&WfzZ+2Z%ATSMdy3YK^?*8CCnOM> zNC-;;zRP(Q@SH*4^BUl_syaEYIvJrk5t*(PR*gGC1zf;{g8nBz1egi~3?>2wm>hti znd&lQ#n2WG?v#}PTZln8!pSO*D29~kmDhM=c|RlQpDAy+6@$u~6ZD_1@^HjRXJz2~ z3PA&%#gJO~4(li8jCYW9^yXWC<^%Y1VbK5h2hu8! z@`vIDlfx*b4aW-)A8LdCS*m#6Fnm}=keY~9#ZmA9(~1FnFqi;FF!tV-C5?7nJl zfmp`xm7E|<^p%ioeu;=)Nr^KtRuT{t2(FxoFa&y^&kD`s%97$p`&Se7kCkE0eP5cmNa|890{C%B zKy(&kZ_FTjDciG9j}db~pJi{#abPE}q2EfzCHH@=`ubgf-&onl0AjUSVr6ggZZBC2 z;Z?HjEksDZ-%>ncm$fBQEe)qi%=aLFtTnYEhb`EYKQ1qDO1C=;+7ag+=ov-JYX8XV zb82F2e4j3sc#7|f`V{k3i3jJ8@6+vfjU`bx*{K%gYRl`JNMT!-bF^Q--Mr-~L#H+x z(*pmX9^V*MgFvnJIAuDMm!dJIj?;(L5uV7^6Mv_YhJfNesWn%Q$yYT8)S7(L8W5m% z{+RqDYNB&Kp*anKPizmR3!Q4eYJRUAA5bOZ14pf-;;7Bx8c-y!Z?TEE1S5YgtdH1YJ*?+?_@3{p1NPH! z&fzj+N(l3ek+oeh1z-&JNJ1btyS{97hFEsNW)P{(bdN&_~h ztXgg3Txka5PZ&4*8D|?nyAQfHZAgrIM?Y*OvG=k7|mdgI zN@jCl?F%Po-pXON=@QiF4|Z{N`HxbwKL+kca@(?VqVd42ly6jU3l8SV7=!Yujs4r{ zBKGLnpz81ZSY=pBKF_a6~6T=^F!@EQ9G{p!lBKUme85vyhrtbz1xXGZTfqhtWrYAHw>Kut4 zG^QC8sLm~TB$W6f-?sD3NF;p^tLK`hXNHu_>c8$MSUUQ*hWceQ*%W*MDK7zoMcOJd z<98o91g&r)qQRJdpgpP(##amvL{5-6nMZqAN20q z`?0-=F#bZ6+l4poAud|>PBe89tHd)gcPoO#483PvicQ!{_U+1!t7QdjsQ!IvbC-sdF#ooJ!k9h7l?%J*{W|0%Hkq%^6{Bi`+y$|k zuaNuX>Cm>-D@XQsBsxCqM}YKnS;rlTCw;;0mP4r!jwyEBm-tg|?v|;0+xl`M@vcbQ zE8qh?f8fLPRiBsKlzY&Sk#kZ`a0Jn^qTYQZ3Jy%&o1Ud4iB~?1g5b(W&=ix)HVtn9 zOpN$PHSX_Y2wRIKab1M$e$~`S%J*2T>`<)i<*55yqzs3pFgnk0);g7Y(ULQBl1Msc zj^v+{-zuM$7gi&Bu(mrfh%Mo#W#kLN}+Z1O23E zym^x^Ide=X*|5pSX*ZIRX}=4Vwe@fB?_i0CCXRu9^69F;?Vv@%9&cC=+O`?p6-+m? zv$j9lUyn0thPpR=e&`b6i~v!eOJ62l2yZp@4F(jh0wZppIjq$rkBCfY)Lj}l?Vg&r z@2-#=zRQOY7Uz^dw`%ryuM4(2x4&jeYba@&o0@QoTEED%FPIxIx{WRSnW2hl_pF?t za#%gSl?6#oPWra{de117jgvHLs}IqCEci^zZmkWsQ=DgS74L9=fA9sCt=lxA5H9XO z@6Pqr#0%X1osswpvEZ&%m&}b9+=gV63AwlF4-My<%7Uh%=4q;vd!L(6GxHa%qLAym z?O>OA3A?^(*XQ@stQlQSdD&(g;9J_8j+(0HbCy zN=KxuBUv~nKIzo++=hfNOdI++AAdR;|6?TBvnmvZ7-&dqQobK$upnxOXk2wg$vrDa zi&sbnqKQ_Y?!pZ2YB`W;plKd!bJ>$D*cgriP=Bj>BqAvaPv9Y@HwGuAC7_7maGP%cAvv9WWY%ljFdF$F%{1qFmxtG$@VSBD&gRL{ z_%WLq+N}1G`i-DXQWUBvTDwv+d#zzd+FIUpM}~5@Fyo*Q_m@0Cx-f)>z2Bqe^-bp5 zYToF2n4JRt7afLQtHH0L)xxhG(cqp{Uk11C$>3H^!$qL@COKWL4CVI9h`|RVxRKf6 zW~r>kGkD8sETVBK7^E#>cTdtXLOnl&n@RypH|;4Ps^@!1!%CL*+!iuzin{y4Ngv+q zpXTbBRVN_y4}1Kbf?068qcobeHkO*Sjs~FdH}gz(ZN4)_UdB1=iiqwX$-<;k-E-!~ zeF!BBZVl4CXyCfBTYZSgKyH&cF>@RuC7l&(ie=V+5|D5;^k4!V5Q)DX3;xl$U27IJ z;oq>EJGeiD4);wQ5pNLfb=IOUja~j9b&YmziWX*IXptndRo;4>7pS7CQN&IDgtKV z?53B`ttdEc<@|G#1*auuo|v`r97`rQ2*EZeUuzT%&M89?Y-~eubw$C(mHE}lf{mfv zNt=Wy_^T44w9U$$^x2*~^MNW5b+&BE^iWR$q+n5IcFiuEG+8|+;v`zfk=B!`nrzNq zZqWc}Frx8!zFEnlQoB3Ih7h89jo!TN<}ie(CqMIb_$01Q&Vv~GN`m=L>f7+o$^7oy zd4yTy3(O^PfXnOy<}eg3AP0a;k|QJWa0w2x3f6Rwekx^YD5Jap_23^aaZ@Mc9}9Pc%vIU#kO}7W$COr_K$SDIQCH zwkJm>MKXZX3JA}k*4JmWG>rV7W`?j>6gk}+ddzF&IJ4eXFWo@{FUk(*cF@8cTKI-( zVd&t?1FZ{}b%fR&GVQB6-!0f7A4gyC=qujgYh2tUw|d`4zb^qE#(H+@w5vn@)=;u8 z-?Ttb=WiY0h;-fw90t~%q0Jtw69)9Fs+YE!0SV`}dLv@tRXfW=2M-u$5NgendlRocm4c)HvIp*11QasR7n`5B0Pd#PYx)FHpx6g|D)kzPW+s8(#b&-T9@}>uB;gmqXzt6&(mp5 z9q)CO@8y{Hyf=s@-NIJVr0+P{C;1l_(jwq$CE0cZUC$C;r}vP<6r=(cPM_qn1*}y8 z&ccHv$$P*S+S)Uj0s_f#K#r761x-(pEM2bh0pt#wr&o1OFkuT(0WQ1|D?`+-jC2bb z7p=3MH3T~{_Ct|)Xk5tilK|+ifqiY^iBZbhKsIJ4tL1-3Q6 z2LA93G?bBRo^=B)z{}>mXnbcZ&PDAvVdu-1EnlN8wXoVorT8hJ0?N8 zJF3)QSg=lca`~}zW?KDU*8RH1kcij|Ixgv6K9LiSZZib+ZBD5)sp?}daxOx8r>>jN z+G}6z>y}g9C~7Cty`F{$LPrK)?Oh(yqi^}eJkDHxo<8!Ie=#JkIW_wu?gjA~*+1-F zCp`4ZF?d#;GHK`XV`N%s*y`ptK<~yAEhE))A~|z=-rzT<=QYyw{3#sV+L#++*B56z zo)*|eTLt0#t$q6NZP7<~i$3aOJe-A{jN1UZdXGn~5a<5;q(Bf6O+W|}eu z=VOMRYRToTp2bLp*_>XTd;%~Mgz!n9r$72Jcdk!dw%M83^bo;S_wp0jVCikly%CS? z;mO=@KFYauvyql=T>C$xv$<6Jss5KEZbH{I!~BlSS#<_qolL4ovS=i)y*dJO-7bZ= zzL62OHQg&HAn~}paMIDbxhwqw`;_jN4DOjM0?9XWakVoArKi%~E#2K$^L-(p~gVE9Iw zbtL4R_oQyHA-DR%+5jM~C#6Z${S^eiwl9uVUk#K#SZen0_rpULVqn>O^2Sv@$%oiuSiTx9+eBG)S?e;sd@466O6D9q55)L3+j}H1*Nf zS5B@{wIgk{ISrrE0E8!(lGp$KhoYK>9=Fn_4x$QUldEilzILLa5rq_R)OKBcw0anQ zTC^4W{$EGk@Z{QPk_Pnr7XS|6T4RAN-%t5H-zUcF8IyI&7ISBAUKfy=dztfg^A>ae zTNueD!S?L+Y);arJZI4BR!w3?|F1XtK%c)xQdW-als*?rZM5QEHdw{N)`B840#^8| zJkQ?fC(pBVn++36{E+H^N!`q+Ex``=LeMRP7ebSwv%#y~N5_y3k`|2Y-e$zp!x~86 ze5$e7_P{YPu!D#)*vUPp^4Qtf?i(qJ(7!#h=1Gx{C@v>-GhOh;0%y|%7;zReNCCgl z2!2H~oKmC_{KCNNz-l$wbhv7F6IM8y+2ZSvRhz8L)?Yi2R=&02?$vY6HW4>G5o{6HeSqEXr1{yE>ChiPHBfGS@_G7#6W=Fya7XWePSq789Y-#@Tfi*V!>W z->SGd-`NQ8P`95Oc}8l*3S(-cy+tIPS^+&qz8_Al%GEMlE|(w^VI@I;%6s02G@U9y z>7}^U+dE?(i~M$Qd}Ry)>N2FHDb5X4>BKyBUg9A@HMD3UgAk1uh@`6dAdF9_p&!)4 zn$TFN4WCg?tQrTJk$f->ouQ@?D>V#FTi>z#*84_ip8AeOh@RNa$z?lg#M|?OOY@yg z+D?npDb{jTE;syDM#?046`K~@dI8!BpozyPP^%eiwXcEQ&aU(d4tMCU=7nDEG25D$ zdzX|zBnykVuAq&T;YaAg{2}*2(59UJb^{?-Oc&;u)9tv)Ltw41&4Aq&yg9$+S*n7S zslDQ|?(K|=#Tvu^28^2)E_$e_Vnp6!(*xGMUU4ZlV$!(&qI&{KrW(KDLQFnv-wWjR78utzjRU|%t1cw35Baq*` zA9Yt-S`+Z?VSMU+@Wh4YHQ+m>0rR1SyZTX$7wXr(Ly>qvDFH%TI)IU7gg8iNjIngh zUv(D4|4riU@Z0!W8&9Yf6(yjkfUmq~EJ3YwGxC~Wt1z)Nb=gt(4vQYOK0|_bRtKB% zSA9;2j$W`Aqrz3nPTP#0lf2TY@Ykk7Tf7j?mWxZ9HQUv(5sn%-#mNr^YoRkghl<7A znI*!cd>shPFg6TQ!7kNKS-f-ryV;hTZJ&CC`Rqj>L;bfbd!p*q4&CNDTF}8o__l2wtwwdTV$5<;0i?c$gIB*t{VP^9af*=UIL z5@e8Iwo_QtYtphasm*)yAZxIanXsartoE-v>wiYQ41R5q81}-VbociRAiL7f(=(JL zbc?um2@R2te}`9Z#R36^v{GR=uK^!+$);i^w8e;8Us|zg1H%ja*7^YME`wtOfcPNU zmZwv3T|$!AmFsooD%h_|3e?ts?;Y4U*-aGs-qA(UP@!q=6E7@)9HJMydj? zlw$U%8E@nz!T?kWFyhf-F%PvH5j#wI%*K=(I7NxeajOe1RE~a+#X0^0JT6PRn94Q9 z^gC;~=;<_otbazV`uw~v)2ZnRj+XLj=5Ju^hIe_#JB?u)uZU&O)6625c)36-Kq>S) z--RPk(t)GYEBhtOXDZ$9OsJFiZ6C?A8tVw1UiCNOb*oc~whw8XTE=g3+lmp3oeSG~ z^3gL&|KND>wnS+oT2E2+;!FJp0f=YiL7GH1RLpAOCklBMo-H}eBF(HNnq#cus6&|j zt69}G-R8;2RQnIMAFTkBc&t}2G3%VQE5&anmj%q0gsxh&K|OW)ZYtzUf-R@?F9a=o zxRg8uX{95@V>9^VrT(#UUMjxMnmNuCwIn}v-3oRv3UxA?D&1}idY#0V&HPJfHDTbiovTL|FEDMS9l0N>KNx`4 z^yPm1(UO8j@1}%0|Faki^3g?f-7|E$0{4@`>=||-U05hI_5aJ;+SV}$BjFM++@p;` zTe^6x$;-y@W0n$C+Na)MLy=~omgJ!}?<+QIhZ(=tp1gE-k%6WT^EOjW{Z4H|9BnBU zssMlaJ7yTimg>oT{ZO#Kr=m}xXi~mS&Zh($B)0Y)Rm`@h&Yz`N(qlbQ`;2(e-OK0F zTcS#2*v4En)6rSjhO}7}F~dGkI~U79DnaYohEo0hx5f*A-sXLpoJ3691H%ZH2wMQR z_+(S?Mp%PolJOe0fM4*7Uk4mkk4%;2K-`7-C6c*LUz0biJ1-gD$1Co&6tOF3fRC8BU8+LotZ3rVUi`0fa#) zgENSC&V>NA@-5V&v)Y*NU)O9Rd_t@Ge{1@*V|-blxj2rxgTj-%dl(?f>GbgCIWlUg zh6XS;`{+6URd0ECqse=y=NO?)_i@6HJ`%s}q0PID-t;*Xrmd{mXV&JG*_;+_4)o-w ze`c~B$Q+l%Qug=^h%UR=R1Bfw`GNqzL)SJU=57Xt?SQ%vOsw;FQ6$g2PM(_j%haxy zNO$uF(xHVI@PA~IEc`1m^&P~_hPKpBf6au}G85|j-=%MPPQS}M3po>6YmV>8QM;2I z7e7P}b}*$krokGFjb9lQ4vRiBUddWKTw5Ar1`SfjU_oaN8!X*(bItQwo6W@MN9tPc z8nZm+UO0n>1&aEF=v%0G=kolpv%tU0z!jKNN^_?Fpw|r0evQ_BODri0+)%5Gv#Ll? z>8EADih#3jy9#Q%K_Za4lgEYE& zZ{*rxyU;e~HS1WeLj}D|0tj85|0;^%sRhG7QME9#xP&vi?}a5^dDedf79k>|%3A*G z517}wys;+MVB#)j-YXiK*VM8OM2LZysE)^CKDuTUkj*#%JC|K?txM)^sfUD z%3-+p)c}%bxAK_WW~jFj!vHI02f&IL)V3;#Ap|V-19BiuNf9Yh-Pp_U&u!)BvIocy z-YQ2Y-?JgM^dem>syed|GAs@%>RyI5U+K*Uh$$@UBjLr5GIs|2K3HmJ`5W%nwX=u0 zAf}d?0|}GjyJ#!yjaaB@qGsYbITT)+$+ZS1U@rUi4Cj>t&9U6;0gLd z%2me9Rv4IezJZ@syaa54>0hPGmit(s|AfvIq@M%f?mirC3#4DUQ1SkCNkP!O=l^F+4q8 zzb{?IYz9L-MZV2~CM&D=9D;1(kh9=9#_ZBkUNqC5~F!pp- z##z5JeZSAA_R~l(k%Z@#I_ug1lLjE_1U@i(pZQ_v#=c5-EH8*WmJu2Ej8zS61*G{H z8R+lK03-{9j&}Evk<+4j>pMhk1M4#H1FO4T>@x!)4j{AAOD^E8-iB!3Z`S+F`tPmg zS8N4r2*bjIJ#nO8xbPg?IL0YGsK#i%^=hvDwdXv(ck*up^gGh`LAsQH2}M_XB3)9m zsY9kaN>NT-9~K%;-TUf^_sNQ<%-VxqGwC)lP7B}RrO>q4Zea?i^>vRy*1@#sWJV75 z+9#mnr%9ign&#>4KXj^+Y%UoGd=D?I2d5QGfuqLyKbZ`c4j0=HrIOZSJg^ zx)&4Js18ACN_^#U zi)SN0+_HSM^d(yfX?~M~&9P>J_KZzz$?fS)Y{}{AL3`k}P;g&kPCuOxxGQ3y;|y2Z zf`9=sP~Q&v21+D$(MgC?{|aw94bdK*HZ6o4Z=*5)OK_bD4$Dw?;h#v_#e^v4U3^I4 ziN-Gg*ZmCLk1<<9%z0E8?h|Voji+Olj>VS#z6nLHM_Bh&^ZcB09<@b%s6N%iixM6^ zOU&HN9{QI;U~iz@q}eGubz}dQ*6!>s@wJh5Umt1s^rogHAM8523Gl|-Cv3MYF_~k_hp=Bi;@+qnqCETwVZGtS#!)#U6rrG^zR2bbonxtZfyAC9<6d5e z4bSgh@rH*8vjib(px2_0J{;$#{`ui2rN1M>WAogZ~B zzh2XHb-;{h?OvyJmowiVd{up0Cy`Uz@*>MU`WMpSW;LtZ*W-9EBpQ1z;nd~fMBXYh zE(>V~%#lWXC?G`w#3UVDxQ>L?`m2Mwr1$p9N3e7IrL4b_3`34*q(9ov(Lx_LLs`#E z?(72NnMBq-9qIBJNcoe77crs4+K3Zuga*(=pgmC#c8|gNZ*~afq98k^7^Y6s=){<*CBsSlrwiio3A2i#AOK&_cfg5N!3gW z6LJ!>StTl@)r5@F>t4Mk`mbCuT4KrXO;_92^*7dHoKA7!ipvU`=NlUrBiZ)!WoFL^ zVJ7dw{s!ttuvhtIctmshz0m-Hs5bRWv)u|_R?zZ$EePd!--71P5K`%8m0f9f6m1$B zIBfYd@}o--x-}s!%9q7Xla(2X-X|B0L-CSh>U7wBog-=vtyi!C?5OyyM0%f<(jnB{CFgF>_?$qZ)bc+PpFeH2C#$(wV=oDG3MUs;`=wehnQJi2L z309vbr)>xaFZQ+kr+3t&o&Mm7&bLMmoB>HTI2dvBV1!Hn2P3|sh~1$l^66TnQx#L2 zXX7)?9<_;0%;+P{E>Ffr)>~mpAUu*|ohjRw<3zz6xNypv152D}Z;IwV7d)n=6O-Et z&fPYClM&N_(IRuAuMH#zq|{{mWHMBhC%pvE_&Z?~oNX9#^h8EY2R0^AI4;pV zrP(L{4@PtzO%{#7r;2dkhcDt*B{rog75eC5&I|h+&rBT3YdGCYD5BsS!ESnTE5}(n zb~H6|>?r6npRPH;5^dtjj#VR~$!Q~czTjnbrt~i7vbB4gCxP=49aErS{b0!hrXAL}run?bwBO0-dzl?jDybmkWyx!^aj0@_ zcB_86^wX)I1Nuqpr&m9H!5fQOwu@s{wn*}k8EQiEkt+L$*vCBksI`wp_OZl1mhnhD zzJ$)qY8dO@buBOQamc|ZZ|P?%bFz|;6p_YFEaQwWnP}oS(w>kNx&D~lO_y8ITGb`8 zdsz@kU0d=1yUay~c;>a-lV@+Xt%gx}N9Hl5OlZzp(i2V)p)plA92ZI5r6PqQSAIk| zl=g8|o7GU@x-w`_x{7bdtVy&i?3(1^;9ZJyQs+`x*i9_q!*#FaH|)As@<8F+ZIe=X z@qM9#ec`e#)n!}4xuC%gbbML@)xoxv$H)(`_HrS%p{9AEvMod&6Ko4Zn@#3O3Y#jy z)^sc|W+N^y+e*d|NzP z_6sOrLSqHInEdpNt}v}yIof?*{kkkb%go#7e+PjuaY2)Q<@8k1jHDUu#N&S!MmX!n zA%SpRVPbHPvvD+Exvs%Z6V`pmZpP1A`l65OT1KNWgHx(kU+h75>JRMtG%KKscWJIj zjOqmbL-S>^Q}p6uq_waR`uBFF26UEFzjrgP zrSeYM?ZbSOgc_Lg^sRsX7zbzb#f9%m&-p$#T&D6)8lL3Jp-DbN5~ma)M&8M!f|2^J zp%^O5l)5AyA7blVTe zM+d5(-X1az{eK$L{4FL+;JX@DvfM=$)30X8Os4cRL(_kg^rUl1H>AiP4^47CN$j+c zAVjEvah91T-mGXC(Vy4=0wvE5iN~rb*NvCgyn(v;nr$M*cz0cR+2CcDuwFy=XHtlH z0BF;<>V9n397n?@CLcF}H`u^ONkGs;N_T|~+H8XqlaAS-RvV<4bcGG-utADRpJ9Vm z+aSfH$Jn4I8>EZF*z=CC6nKZpJv#>Ep4#4$Fjt3l z^&K3In5~)FWOYi#x{5{B23hsFyyu@Y^Dgh;?|EuJ)VbB$-^96Oe1GhkP6M?Yno;f6 z=QII&cH?~fXXG?eQkXlmH`6Hode4a^vD7}Xu`GQp`fBaD5L+$!u=FkXX88bK&!jgS zE5mVeLG#d5)oWWDXPSb?+Jx<<-0I|s|ELtKc%Xz{W#DU-l_kWta1nFlnm)nLnN=kB z8#CPV#CkTKV=6F`>M2Mv3IofJ!=^ZgyWD@ufa3mKuyYjKb<_2YUkfFIIW1Qcn5pB6 zt%<%78a`T2=5bVSm`)A7kwrmbF>a%?b15V5l;?d}H#v=dQ^QCSt8g@18%L*Sb2$wq zoL9>a+phru!0_#knSY4-t}Pj7*rvo^%3b4}=eNw(tlTx?Vj}LL`>esqV`6Rald~E$ z)nDrJ74S%5_dWdaR9wT^xFoXS)a4`HcL({&^U9G;BPbk!SE#)W*8=(vtH|%^kA>V> z`K-nx+*{KG#@zF2BlpIZcCg25zi;-z=Im1KoXV}U)dF)kIU4NKO+mYsBWl(0#jOH| zR+?uGSD_HLM@A9<5pi$rgcAtC$>!?pt5AN0Z`DT1enb;n^TWXv90Xs&E+Fjw!RTdF zT<>eXZV>(jRe&5GV_bmT6m7)Eet1kREBe{7c+r@MdqHgm+|a@1QQ+-)s6xd?m2;vI zUAnhPTs}%(h#7Mjx?5XSx0wmrttPfMg@af4TE0_peNpq(PZ;jmJrDPZ^G8%+zC=|M zIOe|9imet<(F-$TDPI>srQnjR7>i@60xU>PUyV^;jZt5@oZSYBI^-xaCiD6yQDIWy z!Rw1!{#Ce8D{S2#MFICq1#cK$=pA|y%PoUTd657Z== zcGVeMrrlLDV%NN> zi6>vxEj+_+HCkDHEjL8ml-W>=iCbs7+6hcMq$7jvWBWiRMX7qZ$jf zQFuE2D?CY}?^PI{RGav%$6y{yu84aHo6?#Yv)tI{N-*lWOa?WV>SvU(s*y#8d$&3d z*8>wH@hh4lsnoN4#!}x;!-=NPe@M5fw;H3XNGk7~e~~y2AKe9A+#6cB1AV8B`#w>{?2JsSlVg=`avVs8yWq?fSSsDp|nO z>9OB|v$8YH!z?%}`_10S;+hwam@cusJY<$eZ#D**jhnVu&F7fWKVkWh6kw4y|7`iK z#Ai7fjuovq>HmoYHCN$p+z!4-x4ZdqPcadAmwkk^lwPuFyR zCf$LEH4@)$C)IgOs`_wtgzmPqR1~TfJu(eMtE?B?*&g|vo$ubR$sTNLndNqt?dh2* z^7#cDXvyd8e~)~+7w4CClYk6#&z#aZ>wn-R5_Lg`YO>=rmI zv#grsxfRTtJ?^IC8bOQOMQYvI#j`4WYZ`E%aD3SPNIK(c6@~I zo)xlyc^!+d@nL50scMt>HFx_F++|5ekJ7%Z%p1q6HBy2ESHt7sw>c|D0q1324iZ*K zm|;FKc_Kx_c(`n1=&9U=`ZW0#5&D`<4kZ>BXbQY?e3Ok|qB#3SiTVnJ$1i)wxuVTx zTGrnlU9&}98Vb_Yo1U@QM@MGx&Y+y_d*x2t%h(aeVDfnd;$-9U#*%%NX%ZN89l+m` z5(rk)06s#U4?FK(<{h}{DgjPT-E_@0`^0|fNCYi5^mFdbS#=yNpDGYTRhZrV6GK4E zX3z?^^4{IaN&v$rv}VdkG11p0;@q*^hu&Lj#JyA0J{q4@9F5P>YB5tM_cL`6_snu+ zRQRI2sR=Fi6I673w$}SUvbw4{`VU=jo?m>L&+pNt- zUlQLhX!%Hm2W_BSoJP#=m7*GJKhFH_qf3O`UvtDRf_!jh0`*rLNY4z z9)eWu<)zjvPbYs12>9~!t}g`!zC4Y?v!18t`Q*4x12MhN#x~otpvqBvO3#uMM!h<+ zd5C>Y#JxG<9iOltJG;gTLSnhIg_n2atdcR?7XIJw=5!I1wMqp-zD{G-Xf(l|L}YA{ zuL|Ug3`IWZ%kyUM@KH$86KCBs^nzi1!oeNQCDAwrKerm9XYHXRKN-$XzX3me7`91S zx6?4$xg6Za+Gj#;FZHlXI(pLPUMLqCM?i&20v;(7mk}3T;!Kw)D)G29OGo z47(K?&~@W6B#`#e!mY4H%(-pGFwkV#YN(!GhoB58QJ_Sdn@~v+eslI}n%$2kW8vDf zMX0?EW!Rlt6bg1bn;I=;V#vTK#*yEl3Rm_2ylSml~$;FR`wGJuCE_o%41>u_iAWTsRk+5Ti$WE2WPWstXv0#q-#(T)~U85GYw4;fn>~!ITUe=Yw zmL?Vz*w^eS=^)~UnA zE}n2{8y9-ujUwho7a7O?@fP4aiHG?nT-SplD(AMCE#|2dD4od@;dM6xA*|WOvaB zDU$=cXfAq04*-<}{D)fKp%=?7jBMx4;)*f6Zn8->bw+**Lh>gm=n|Or_pyp^jks@z z-N*7_Rw20evO$O>AMSwKx33vTnEsH{Z6-i}iO00*&SCa8OVNhks`j;Jb}1GP``h9> zBWv2Uw@x3r*KT1`W8d1$o+7o$Y_(_a)Y-zf^{(r(u5{V3Zpxyr&~KP&S?+ot@9Z>~ za?8TW&xBY_My87Lo%8o3t^3SS@L6Z$dsM(AnSRw4X!@yPTUH0BZ7TD?Hcs6x<*JlT zM%MoFR^W(th2bql2(*itYiRhU2dIjT^SQ3?zDWH1aX2R3_+!MRF|=gmCd54-vW%sK&{$+He9hd zzxiz39flsGU0HWT-1QI9R#aGg5qFaa23NP_%cBRnEZpC;egm<%Kj_4WJ-;s;yfnY% zDevfScN!IsOxG|63rE=1GVG4zEZA9h-~a8ts-+3(@3zxd108kNF9$nn4KYJH>fbkT zEafdWJ!e8U>DN<8u0t~BuEqMA;d!nj59qso5ff`F=d@GWBgy~Lv|Bz-%j$?5PKs=v zYW`k1Cz4#R7$J5$hZguh!XO$d%ocff`uhPwPM}xTBKXM)ep?gCxqUCp6jvFNVBL!$ z=kD$4Kcbz0!j$`AwNw39Jg8PIM(i3T$K&O6rWUe@d+Cx`e8QM&F7MhjLDK{AwAt}H zD)`)d=XM!+yRk6{*cwj-`0yCExg8L?^;rhI^%`WF;_K)+GZcKvS@#@8lP+e`G2(XB zsNbaIgd0IXn{&%gNEUN9X=Zp9sOLFP6x|oeJ%5H9Vr|*hP$ePc36vlyrrBwCvBrkS zjJxTqo{4Pjo3B4wTw$YQR^p2q=Y@mw#}qf#oSsRY(ZKkF9hq}XdG3o zE6^@dzj>$-cAvx=?M^?0YaY`H;nZb|C1gB63wp+8 z-fWcD0mG$|VkI-uNDY9MM*g_u0m2Ps;!>^kU5s={s!^K`2#>(PabU0SM559rpw>5z zcPq*&^yM3Mx1eu{@&i5vSo6#kPs#NU7?fXYI7}A8^$!`GF5L7ePuv}@|B$Cd zcx$$45!TIc_<6|iB6_l3UlK_z`5w!3FDclUY>uUBu4fT`D3+?e8r!g9wnprTv~;J< zV!h}<=r@Q6jZ+&rv|%3;*}(2dcVoyf2QB`ZtIhBAb`un7p9OhfEuU2kVzL^1WkPyB z1k}CEuW>E3f9K@%rF)XX7hmm%dLY&uaHo z^m$?kq7cOg!c*o!v8)?_Zz@%)W(B&9Y63bO%ei`(O^coR0ic5i_W8(HAD&W9gdGSB zcWt<{ux16EpeuR@i)W-4KGu%`9}Pu5?L&5&jTBaf^Pge>--qU000UXe*0`|odffw1 zctIe!VnX|Q#p*6v+s{RI?M*eguLgUaO|#U6NUqhE(C?b~CBw?At5a9sns~gInmI9& zk0|;Ovks#Wr>?nc22q4%_L?vLitR53y?2!hSWGD%DYY+GjIAO{z4k?0O2#Y%*}@`~ zbaI4v8l@ve3ChqB#N!FlQuT5qRlR~u)*ob$gMCdYS0q(mEn1J_F2{7~qV49ou}kP) z)2$JAuB-zn1j1M!t^h^r69y#objaUIWSz8tE>X|krJglLB=dFj*|EIX^yg-w2hLWu zu{q(A*jM)|ldNazI;lqU#;ZcA>MY1U8O>&b3r47n9cE0hcbt!uyY>);FVL7s+nzDu z1gvm@#w47)y4a3}ajPNQ*>^I+s6}k{Y+soH;fwya8$i#S1|N1$2)grb&2Mxn(F*(` z6CLLH;K0T&&3D7enphF{`3zFN%<4FZ-az_zgkI5M#W?ywosF9I?zL1l4ge;GXw&=_qCF9?e ztmeb`TrvJutQ3S9-ScxRFDoWrI4MLUwlnI^@=gj3 zKP|hsBjg(<4PMp|mL-~z0iy0sm`12UZP?T+uo86qm ze(j*9xRnExBE#_R<;Sv(4kynoZa;T|=ma^nV{keS$F8Vc^%p43yVwO#mIc zb9Acsz80igrb4>REF1<C$=?PHBx8^7{?#gK}L5|%A$Qi35d*iXgw=7 z=soCIMyRM!)ixSNoDrvg3$Idt7fwRBR0tj#d zr(Jder=QPCKZG{^?q|c~a7*lGMh^E`o4D#BazyUsXWj~3wa9KyHrxToB!v!bs3l=tKZ3evOdd^0fYpRYqiBI>bI9CMl0SBypaF@)W>XU?2CbLPyM zob&?Bp0txH^(QetLDNyd32Z!0YQH|>R;HDX}F z*k!%64)}x4#$c@ai-1`s%3>3<0+Cy|(=Zjx8m^5+(STO){}<35gbIp6&Rvq!P$Blq zE3FLolm0pj$Hz^(?6_x{i&N>X(3_4_+BF8gv--_rNy_OLy%`I-TR!hqcXd+zm$Yht z)xgB02F6u33=$^BRW2Q*dvS+sCfLfv>Ddk!jV_cHxnFcNZH??z_q`rXiEXH+d2J$(Mjr4`oVn?M>@DqYDgYk)X-plzoH>_96cLS zpIACgpD+c`0+C(1X#M?EfrF6%ms|tIoU{j6Eo4;YFaEgh*bZqx^tQ(B{CcC#D-RQ5 zSw^@hv*wVz7~N#-0uuwy+Qgc8$N}%G0q=W=0k`YfK|sd`+^lGejLE1xT6Jv%x}{pE zLUGNn-n%zz6Z@U`BEtfcY{y`Y#K2dtQfCkJw8%jf4Fzm}em){EgV`T{=GF_X(+H;Y7TmS2<=dALoWDZy1POQ0;)Q zy~)Q`wd_{xYtkkbbq>JzsrD?6b}`J!oo{0crOM%)rP(MjfAF|=vUgbp<~H}2^HQ0D zsl2Ci?G~-_a8YI7L-87~(s;>G&yv?t68M^@FuPE^()Dd}BbzOw2z*lh$Wl>rImsrC zjZO9#h+K))qK`Gk#hlffipdXe`@PwdWS?>B@3g6_&7bdU=rkCah+*6FzNN1#;H(h0 z4m! zESAC33biV<%?knL-{zgfGSsf~T<)1u+}%3w=G6yz;1NGB)g%ca#RW(Hc8~DcIDrh1$|d;~ zXu{Ofy9$Yi({Cdd(^tOQ6um@sedjXWdonjgY`~C~Ig6D~5TPJ@FLeolA_HmJKDovHzsi_vang)ntICu_1H| zsRRLipuSq|eoNX6v*29}mITMPdB@U4E}0@DWt<1W@R8GGdh06y6#?$y==@li0*jq} zh>(wVg3Lep_;`ela^{2xJiCB{UUZVT6)}Q0>lpF2H%jE=gMWK)KLD`V8P^cfp|NgM z!YT<#@Hw!Tm+{9nxc#&VH^2@(jzfoxPOloea}R zz8tw_57o8i?7_I!mFKFDovmm;rdDP8BX9TeH8cW`9P3@Ce@>2kn&xZ#on56Onbgj% zg~8q6Tl`}pJ2)v3zvz+D1P@6W#$nd{4(PG!L+s|6R9i0mfik^R+Ffk3ua@y-ax!Gc(^YVkU zajfPc>uuj1LP2Md?Z3k0FQ6&t^bz!lzQMXOJoB;yKcK8Nj$&nJ$|G)YHZ zi#nl_Llq`Vc5E(NJ^anx%IjJcc^n10nrND2fi-3UVP{q3 z%v6zEiD`r1K%-uT?d;k>w^XR~7!S3fbSF@kp)%fA7n$lQ>S-WQ9I)? zA!?1(u0<>I4eHhTFKl+LI5{26H5GQA!ezwm%qW)Jslm0Z7gHiahHvujIN|Q{jg|jQ z4FK;SVXtBsU!>Mo!ztUNJzySe?k?{Vlhkh38@&LN73|n*+caRt56H9uZ_q<9^`tJf zc3$p*n1o0^Q57;I@jN3K+1@h$=FQY0f!Krtou?3!UX5M(=ps5GPl8+=_qV7*~{&yyE-!J*k0Z34(MGsDab2o*kDPTOB?S80`mf^ybH&PQ60$QIO(j? zfpfDWx6I)MYyuz5&rxP0Y#CmFKkT-2@j?6;(Ab-GC=|^YcoX|^3l7uhyWIe0)vw}BEyB+__POFh z-Mq=@qoSAa+zl#h`$!y@t7U7$xke~vY!6>@kNe$$F1>Qk)-^AzTYnt8WxD<|xbG$l zl7r4q%#(zR-kFst)MWf~YKFa+-H`7mhF7)4HqmmGHSUF;7OfRzNaUy9$XQkHUfCt+ zQ5#=_Yz|7Dt@4+BHwE3PXZPYAU|u=qp72vCaLi|<8g!51VwK5XOMV%tE?2wUdaf|P zPv=ijtI=QOm+Lon%GQ|~tjfvqA?_uz@|HAY6^aYvD}#$d_!!pu=gVgTWBmI(Js9{h^Dv6~AX zJiR-1ZSnT%(_lh8qeK(cPd9eeOmyChbe&LD8F_C|RYs&MwfcM@-+evz9uWJ&A7vtk zb0P|0je38I!_F;{4&~gRT0MZAPm)t-*2sz5+>coBdLYKd>RcN#R}x*uBlDDjJ)6-mf8y2o+b^L}1v3&rrr{vnMl zdZ)a<%4YmwvPUEgV8TyXW)5#_yWtETRPQOam zGJcgGGSzL>5t*M)-G?tSzfb2E@~aEbdFJ=&{A_-aU~#UNWj;91wI9I7hx-?1Whl17 z<#af(TB{LDXpqL*T1ANrZvCjVl_KgnH?>vWv7)xAe0BkRjcBmYjV-bO;m zOQ<(h=01r8pnNx(V8(>2O%Q4=AfJ83GuA&}-?5BSR8$8}RP#-~-BA>>(o2c+aX=UL zM&5`cbKc|i;B#hhPbD{(yrpToX$II}ikBC{$X67x12=bu-H$oL#bW*MhAeiCx;rFU1*8fKa|5s@{k}=ojB+~ zoPQYWQEuY-mg+^fu=8QynLIw0hnWYD!;cToZY`qlvrO!88n+PPBy-#e z_qW|uIR|29Pxj@(pFPzf*D(EHVth#_&ZLO((7v0PFy_d|GXZ*?gF5vrd?>o=!M}v`t>8Xr?_39!SvHvOerl**pRp^ASpCU2F zWcHrAbJO~1!h z(9p_RnpNpA7EyzrT%E^V7^xjL2ag~vu#}XU;C0SdQ%LV?p^zu{@ra)-bPNOavl$Er zOIIxSd8OVCQANP@_BAHg$s#;*i7VV_b7gu_1!6XNZpSC0kSr+V z3quW??&5rA=|qN|SvS1%9!^YFKLBp*j14(6ib~U7kK9(1>TAv>Q)G>KE=Np;QO>@j zo~*iRIrT1)3cr6v(8eKt?rF5n&cM!Dn9|f0v&bOn%pN6<#}svRUMNk+AaYxt-Be*K zz~a>q7&*-#BS7X{l8UBH-9olDD;E*C0d%Xw$S z9Zy2%$&uS?dzqwmA>KWx+oeF@g-_Hz{LAiUK79 zporX&g#$FDHDG7#`iTbY4t7+q9nL;rJF6sjDe;u?j9-#IChW`)QO^m~qe&gMSKgVs zJQ~qfS~)gf6(E>NEFMs z4hxcX0b^_hncGdj;e^I)3rjt6S@m9tDszVIG}hhS``3VPWqS6K^c)WC zCA;lW8-8Z_WRKrJthy8YetM6(Rn_6vuO8kdl9rmT%g;tK)giM2Q!0+sN`|@$2VgcBj4nCFVNS6P*GiiMg_OhO?ryD^KRE|5L&6 zGe3?e7f?Pn#RjuXFr!SwVOLOb)|aOejAcAQ8R#qfQbM8}%AF%1{%=C9xYHu<|$jwXiJhlTv4TQ3w;>h98p$qB&md<7L>#ZH(~i zwDS%$ZT4SAp0#u7k)OgxDo1A~iLWn`t(%=Sli{m{lWXaX%Uuu&_Sx~3X|RWubmBwK z@a$9cwHU*MWplAfZVU1U@3K@XdKB$J~p4r<0cK6`DiT z+lzWhCz;mLntEVOk=SEp)!j$2Q@l=GK{CP1F0*}_KoFcyj&~v> zSNTX6;AeLO?prGBa8GXxH|t(6t+=+^8DHa!uEn>6uUV>38FFV)&o`*2;}41;rSSa~l2zn%wWdi>~4V-3;ed-2M$(9AdeR-Ra{< z7wmvMh!n@9^uL6BUInL-L3>uKS`$ir%gp=pvD~d%A84aDStz@W+aC&k@{U1kxn(TS z!)oP=<#uTXy-Z?cVZJ86Z|R=_KCq^Ue-rdPaSHdJe0iE+M^ollTZ#Ki)rt3*VXurH zIn7s4_kE5#*-y1R^t<1k{z<2IHzbyIaoVQhm#R;YS~8aVFYzDkQ=P44X=~jIuL|70 z_$01xw{usE_5geK?Vjgl=~^!~IJ%gYYVWgCxrnKp?^|}cv=g!17bNo1)hr4S{D%mh z;1`_=W-PWfLs|{`@@7Sg5tDOoA8w?Gk?T{k>NGs--_lz>5Uk|UgmMc7<84E=&exULr5yV;&NpJY@0vD8`>9xS zb?}iC)d%{2);@1Wy6?R$%4sW$@l;3gZ9{9<2{HqsxlAO#k`<`HQt;w5M89qOc{ypBEGSON3{Pvw0 zDQ+q`@Q8bUzVlq;PG7^Dz=ts8YuFY4xK|%KuPugZ#ya8iGf}AN#uHbn;O{|Ll4GI4BWi+ zFEOzBb4dQyVpGd_XWBW1?sLQ=HB=QD{iit*kQu!D!L3rtUY@74!Scxw%l(8=psI-o zu-muwPH~$l+POv5NEoU*i!86&EN+!)jg{ThwRnN4D_gmaAlGVgb?#C@f4tzMUcurX z1Ot}b@{(a%Q$q3iENiJ1Q>=i|DbY1951nZM+*q3SYOr`jos`h8N|t3b z2Uwt{idSS-|LFp?eE$bPKWRbq^=BLnnF=PbLR7)`#ujg$PpVUCX(4Nc7n>WNDgl z9_pptZPSJ)r)7I-_uI6Q$!Q<`kFE0on|2;)G%Gb55$jzZv7Sn`iL8sftaFrA7Hz$%P7sCfXD6W4WIa<@P6|r`z-`l?97cWp>kVk~(wYEHE${lesgS zgcYE|{Ces}C}cfVg`Le*y1~vqZ%z2)TLy`v%T-1gN-FcmM48)rl(~&EBH3gW;e5z8 zPIcEobxHC7jLOhkT7uqWGZ9Qf9i9MlC={3mm_apZl?a@i<_@y$nkC8#OkHpGq`Y5{ z>miTV{SRpbKQFZyeu1E9ZV5ZHFAdVayv_9=Ri?5@?uU?ukM&e=9X3_7*^PPC)R2YR z|4mYYbZ_#~mfN%slG83F&8j%zJ)0OeqtLYH6Cnx2(}syVVjFd`)RnoeH9gyrL~Cnl^EYrfj#II8}d+#Be-F_Qwz7UPK`BSgWxwg%Q|0ivppf)QKZI1EU zJn*{dr`&q~_xt(at+e^hl6XHq@Wg{3+BU2HpR_q#ZPp~({F&G0F}6+l1N-mybL}m( znVx8KoY&?rUNg9rbF%+_n`LTqc~cy>d#xPfo@v{ZkNp3Bn=jSS=HNt|zwp|8>Q&QE zIj)Ph`Cqus-DAegP|Lqq9Pe$&YuQiB;mW3mX*m=-VeUMgI^>SGi4&ZL^$%!Qc08Gg ze!*KQvuyDCpye@Nyke>tWva+MtGjHu%I>zQew%uBcj~?!q^`B8I_;x@Vcn^DD*H=P zo#ttn!{PYzNGZfmBv%=^I{WaE&qp}cRPLiNVoNo-gHDrtjNl)&3lGV$+<>joo!Xs- zpNSgnhQ@eF=bJ{}pcIWvmg;?&{y9a>O=cz9Lkihvs4;{u%Zm%$J{0R5LBb6rbec@XqA&Cfq`13ZCZF1y>9x0&2>0#_Gb;AYuWv%oz}4y}`ZiArW605v4Pr|D; zEl$15ZxL#ty35v@X=}a3t96l$mHP#d5%FSYd-YY=ww5NhH8I{6XO$^<|>-1)T-|fdj)+2+uzz6wvzGll55yM z{*%2p4~JBLr{x-C-%mPse40?0{s?ucrsO2A+G46L;}TP%-|lI|bgl2+2G%{)sV!(P z3K-V&lDDf$H2^(p0jd)~b1Xn8|7#c6jRE#Z*Ay9eo;DWW{}H4-52OeF8V6~k*VIpl zu^@Ge`E|cCU~MLg0qYlD-tUtaA{+h|Odq)~GgF%se1KSgN|D?AsaDTjeHq@_f^T=!i`EcH`BBz%~dxkWd-95_7!RF+w-SbX~=XkU`$DS8qcRB`mLN&fch=Y|W z#%yf~vA3648r-CWSnj;@ZSW}*%xI%Ua zpNHPHw$j_*5p%+>&U{>+!|f#%VH%Txw?Cnmc)myDoC5MR{2ALYD> z`5?EV*;De^<4M(9ppd_SP#dA+%t+cDD0N+K8*)#!Fmj|tKCu)@`@Ga?UgF_%A_pDZV9%}_ zg9jz_?*X*Dxf_f={0JF!p>!X}KZ6H(EHkcrpG!0GYGRk;l4@hH_@?aI)d5*a8+R?i z;v2K-mQh=pM|u}f#Apn+xecZp8T*S(ugEi-7Ts@{3|rmPx5%{E8hs9Hl}8F=28yw& zF$=|r)mn;r2Bc2Rn4My~8p9zJwyQEroiSamC8Rp$b@0eLc``|jo~p%f?U-_?Uyvjih|hApwnlDB5g$L#eO1;=D^F5q6i~Q zwS@lo^iMzd+pXslkxeV%Xp@$2e#-676#Juu2D*gCVr$l;zvp}3QL$HBt02F1q=>9+T&1T1wWy-ChhFxD5|YVdv@b8 zD%zy2G-=x1Dkc=MPo{b|+wG5`XZb4Ol6w`NHsvkF*zg+)*Ag;mq@nOKx@?KmZNE<> z)73UwepvwGHr9;clg`bcvC(o-1~smF41|QEw_)e^&>TKXV)Jv!IJER>|I){6PWWSP zu=E-43&&5#cqHj;aj&E9V07Wq7fh(?MH z&BE+9^Qn9RlRH@4I`4?6i3~ceJZMmNMASSq7j)Lz_szim$cQuub$x=-Rr=s5It_OT zZ45L*6aKcJ9%WVVxF!s$`8o_5%_DAV#xE6@&gMs6F-!?^I+{w9 z+;*!i+5d`o$^K5fWdG85NiHnrm=Zi7s9mmY>=yuG&hs)J;Y%KVjHR2yHPW2OK(dYG z63@~Sh$`-p-CW zszwxP^R#E)Tms<{1q!s!yV{AUk6fw1GSHrKjwrWr#T%->jU5@$Yu%-b(o%G{tre?4 z<64R3QOA3jXl7U7pBk`yJBB5$Td1nSbkVcg2up@4q!P}zCGGV~xl2ac4f+XFx zEZ0pFi4?kUSut{UdhMA{))2%xz)y?89RHWGlH->r|Ft#6v(xMT7IY@%m+)q50W(s! zQtByO(zvr`eAu~s3JmIQ!sw6j<7zD~+RD<_hljNJR%Ty_OTm;OJF5F23o@PFcod3IJ{#^vj&|D3y15BV2o!Xf!z zn3acLSX@+@se=Q6k=JrBVx*yJDJqWU8GlvjHT)JeHf2s z>NB`QpQ+G{bwn_A8#3+mc3`&N2-bFDz`E9*zEmb))Rd`_ZNuy24Oq$#wDiI`TKDB# z&l5hcpo)K2Sl3JuoG=}9-^k({kJ5|YsRtL}pnm{6bY$^wS03mRl9B7U)xHa%u09jK zns7=UStE9p8mhcYT+U2i+0T=qTplo{++FJ2xxJ9%OkX43DC71)zLmXXn!F^{yIl5O z%k>(M*j>w!6K1lS(*{4g?9UqzkMD_$ZHV1O7LkQB&-H|sG<}BvswcHw>MU(F4arV* zrKx#|X$1r5_XOApXL5mpt_|M^fNf1KMXx{W<`gI6R;r3N`MFa?D>vCzf(ot7xZ1Qb z#s+4bttR(jI8MGYn@=(@`2r^2#RMD!jNUUlPHnwqkb$=!0LUGVJ$c6_&=A?z$0j?( zFuiT^F-q2rdKs#k($kVle{v1Ux>hgSQ;VU07H+vx=E*h73L7`*tvA&be7b@#I-aqx2}dZb0@% z>9>TIG$oIcdEF{|cs`i#93tMVm2-IYOoD@DY-fVg73?3`mu}Izh9I6I*7COl+S8H@ z-U{ihxymCtlqNXYUg69A;ogR1YR44!Tz>uYYWyPsLx!F?IRn=&)&0GcDnW3(0E)+a zm%N=v2qrz>v7dggJyYY?yaYIwq&_oiE|hKLY}GT*Ow4mB6O8%4VXlPQ`KB$A7G&{# zxA%{oivB*jVjl*wZ0CiB{q)>2u{W;TnCNz273%+DMg!>-x=V!uz2RrZf|$;<0&Gr`uEm7B9nGE# zOq3Lv{nRQ|rq<3msk*s6W3N=%)Jka48cC{|2-yonBpH9g5Z4MoGmJ?t&PmAC za{aY8r1;7<&?LM;EAIV5;G$>i`RNv+J^4ALEk{Mb`1ChIG>jW(40`B`XX9`t8HnA; zl2?m8*T|8zerHR!d^8$U$kLiF#JcQYY6~k!LyLe7iH^ePV-SomdQkhH1l_?gS8N2^lAZ|clR4LPOQNN=kC7gfk*VA_kp z;oJ$IPF$u>?sdDV9(Z}+Z40@MyOvPw%uimm`;dvA11J?{f-YYp1Y+s+p$j&`p6 zMl^12<$^Q@5C4Uq(EKL?b)xYW7Q$jnPKZ4DFpNJJvw%wY!#|H))R>CglS~CNQEMkd zPIyE)VpiH0#W!cxJ!f20fnQ(23CA-vL{fR86uJ(=wT+q;9LZw=OFsr|YCPo&3*s3k z@GDD9i|*6%;^@Z0;571uPeWMDzT~u`kWN?9%u@t@5l+x#b-a-Yo`xhbC8PvXqI<|r zL$06Vl_1ab?h*xvj-Yuee(R=U6HY<0PQOD0X&P2#G%SE@9Boo&y5r>tp5`~DY`zdF zTrne$pEvHHzTj!>@ix>HPePtJ9(jT~Bjt<-BBQF*kVuB8Al{MgfZtP=TXHw~)RH$# zTuRa(wHA_K&6+lS<$kG*Rpb0-}&ocrMmpeBlL)xka=pP>lsWv2}vC~AG?v&eR z!Z}z}2Xl%L;zQAfoO%F4x)XAP#pBt3Jb)D+*vIv{xbTy*!cCfQqi12wk&5u#5G7$k zWjHlGThRm(AXR>DhQ=`)SGCfD$pFa1DoNLNz;ssoAywyVf(G zr8|Yr#Wj()b%_WEI|KBOFY;+>^&p`((IH!lDLzoPB$2g+*ePQIdYM#Mk!M5Nbi{WS z_80%Rm!YxXWLWCaJx7D_ZGa+ymnOo|Co^GKfz?!l8|x>t3GhQ!bTLon zDJeF&h|dBOb5lNCaf*98&%=kJW6;8E=d7nXGj`$C9luj6l@s#4Rh1k0oMMpc;rx1j zd5$kS29;1Cl?&TNp|qD#4}5g0ILv1E<{zd>VU+h2VwQAD+^%|$FdS<7l-RiaZKDg2 z=u+IFawZUkXFo}Z|MsAK$P7D+wOTu4@}rCM0TEmL>OR9-JF;lgc#F_=qdfQTt(4V3 zK8{LA8}|_DaudMe8asef3MZQr^wiTNUZ{ZY5ehi_Oqq)*gCmd3K>hw=p57zG*X7l+ zVXdJ}yc4+F(bEQV5vTLyjrQ=j$Lwas?t2-x~ zF`1C>xY1=Am5zQ&s+?ZX_(~ni@R$k=r(Utv#%=7pnQ}qomqYEpeGR{7c)eP``zL8B ze9gx9O~U&^uxL~tye~xdojC7kXH3B}pHm>ZSoGR)CxpYBAv8CdUD5z9ro5HrzR+Tb zx56XdoY<_ZDdv@sk1nXVz*4cHT5c3VwR-U-HW+Ud^l!7<+JvMCVM0BIbfH>wxVIJY z=ch6V*sJd->ch!~9U9-twWEwrkl;whX00x*hGV(=q-Bi_9*IYg* z;2Ojm3%Le4#8^}h#Vbfi7k>u|@Lq@2)bk~(Huq?vgVU7W(`I*T;^z}2B zhaXH$ne6?2kKgP0tKl!g-!lG+=}-JGm)&e3fAR2F{hszvkLTT=_fMK^*z+7VGqC5! zkAjt0_FPU3yM`CO3Ho%@6wW^z%jd#jI|D6U^v0dLFg3+6%hppjjZh84YPE9oeLkZT{d8W9 zPCJ+5wpS~(#w5Iye!*jJq1c^fIP|pYyM((oFp^kG0A2ma%d1C~;-s#c!!@(A^kHSG zs_mR&R+Q)p^%sA_VQ)mcHas;%_@Smd1|kKW-MF{rjBt##o>*P2*ycV2d|W6!HeQ6% z;t$*0?@^#@Lwqp33hkVH2rp)4PU?njkS#-AQe^#W6lBe2j5jOTc^W3Cst;ba0=dx7^02u$$;cb-9DJb}n+k#pLDtTmfJtkc$U zuF0{iUE>U4g&sCX;3#xwlpa`&fz_709YJt3Ft8IURtcdQm#?;6LJT#C;hex%`Zty3XyY=5m zsX977n(Xn~XjL%@)$_kbA@DQxmgaWEXxJGV?g2&j9V-vpL!6E*p)Et(eKM*}!VZU=$1-5uKXp zFZxauZc(OYdr~{1&G0`6w`pE^BW#G?}gJ-Ei365<7K}1+mu8M@rW{M0P;a{h+z*7s(=!)d*<--c@CfeBp!S1jgExa(DactJI+nHbj#;xKfo(7O z=OiP-7KUcar7CKsazi)lVd8VBn_j9-UJu-5^;G4~4D&kGA;2A{tapd5-Sq&usJ|#u zns8fPu$E0{LNbl)*`Zgs~FW9aIFVWM`WJ(d?m<6!Jm!Rqc~zSpL0iUxtL|7XnLFs4YFOdoWigC&bFq5n8){JT%r`|eb zdM1yy`9qcK~-?zSSF|!JG>4CiW9fon`Pgi5fHs&I*E%Fodf9$vN1Xk_d)_YfW{a<( z*d!%!vbP7Qw_zAS34}ziL!~TTr_p+%CGiKQnv(XX)Rb)R?*x8N=Whgm zgC9#xIgP)U|D2j~8NZeM1&P0iznqn+Dc|7lbIK3lw}`(I{z{)9FMpN%-NWDU$RNt2 zzomqadK{SqGm&g-KUVpH@oHFFgOl1aXP0|XNKBzByX9{N_9`5@8H*iHt?rTqbmh&JTs2pJvNTygzN9Wgl50a_-uBMx<%(2lM4~}Le4~@{^Cw75owSO z`>*aQdMJ>-3~#ia7Cn%EHugV)4357ByhR7Wd+qCn`vLNd8Ur#4Pe5)~yMp?j;D3O+ z+deOHOFsSOJ)M{8%6R29-yZX?3#SF9gomt)>(dXZZ@>kj-Qm~WZ)A!7!VhRV^mx>d z>LbI{xE z4o$c1B9jwV`8xjs)VoLGo}?}g5YJ3*_S!oXT&-kIz?A^Ve^>w=6$hvVVJ4;HA`8ZM z1;+e17+-~#bN;LCYZdE|fWsE`_5LE0&F){3LtsUHWjmMBVb<1I?iMdmE~}-Wx!aa` z%8UL*ybN-DN=Lm-{I!?ZXcPOiWD?&wlct)zl-co=Ba{**<$5pWqIe3MnUv0NlQP3g z84*umg~#xVl-E2h@(DKOj21{PCF&U{WSF7$`|j8neWJ)LrJ6F`4DUa&!0!2^v&n%a z+M2%{EIOe8-7=d`o+P9pCRK^^7by9du(J+|@!{3YpURujysHZ>zY8tz>xTo@%1=v& z><^`VHijwX)0C1{?Q3gXtMj3mlA=M?t-NTLcpvu_c(+^dfQ?M+0mhtJhlSMDmA(&LGn+h8{W(8h>NBA98vP+Z%RR zzF#uRtp=(arXyPLi&#`O%eV6AVVgkV(cS)^2N_+j_5VBw*p2_^3()qW3)$@KIN1L) z5%T}M$@Inee^x(ytfun+j652&&EpR!m8|4+o5|YI8VXVO?u9!Je<` z_Ua>9QH1i<2GQ$>wOSzjlP<-^7(EWoMvVpUOL`VDkGJp4yA6SjQX0L5$7eQQMxVe7 zVmbb7{_^-MDvIe!(QSbe>SD967i#I3*T7kF(fc2Th?oe~mU%7?wnrzz;(e6?!U zSx(i}##T2Ro0Ezga$dl)hX~#BRngGi)t{h37!G4uauV|vA^Xn0y;4?p(Hsvv7jJY9 zlwy)FVPCki&3)>|w3Ollz6qa%DmPxZWN3jgSPU#VOV35*h1%LQC}CME8~R|h{6#~H zslTi4nvnBxC~}}+!E_pOVCrJMLud#kd2w6SR5PAK)}`&kWH$q?Rp+A4o+bL}mg0B|%iwbqI^ibMy(cG)g$JJg!}e4cpR%cVnJ z3Z?Ca{|-i^d8Mk<^0=>g%5uC}vrnsLqr;=a98gcs=+9M|4mrX4-yxWg3<1O@u91?G z0An7RB=xM)8y2^UQ8!Gna0D-R2RVMzdl^+w@Z?Hm2l z=1#p75`YWYt(R!61_~>mvEJEYMk$0Pj@;t=7`bxTBCoL$U){+n`E4KzSH5Hm*gs6~|00oQG*M_w&$u9<&=mT^zwMov zYLTx%1O|Y`gxS|DW)n!Ac34O~Q!wfAfi(hZ9AMlm^P`NS zI6#q)aYY5{)^@ySKC&}Pg!H!v#5a}j|H~$0?Y!t6zhDXxT{2FW<_(#{QN| zX!bm(v(J+I>~RY`sc_K&otIRf1&2Qh_he!7#z4zpK=LZn*3%y1i1+2WgU8~D=sewX zJYf+BjP9!(L)%h+rqp;R{llc}1*Wt;eX+$~8`Im1e9mGK$JNZk#{ehib$h1c`t8tb&bUA)11(Ba1fm0 zT!g8_BH@bTV$SHa33I=XV@w?_)nx^vf0RPL14mvdU1Kx5cye}HevPxjsGnrQL3TNw z_D4QTtwS%}96yto1W_6`WG=*vDm&&w80M+o@d3!5nwN zp~}$Rl+M#oKe2AqeUq0jcPYQ{gM~-X*@rr>-|8)w3r@+=dtrOX-_a>}G(ukKCuqR!*Etl>W@Ovi^$ky-XF$j z=bSeh_tx=v;31J81#xFkf&{<*G!(;VV%)ndvtIQyKON&XQ zJy^hZ+RZKUF3Hf(VNc?erh5lCCBD-}-_5)5{ElBz;`|$;z*7AZE#X|aIE|UbeUw-D zx+*`9ufGSOiCxslcPoE8`P<}l7B9;NU|++$big);?jw162s>gzGFaiAYDsubFSto;5H8vPssebE3-z7!LIJ|h>XY6q?g}vFu$ar)+|BP?ppGgn! z&*gXXPvsK5P)FZ+Oqog0H732Qw|6uX_U_(TGg5O%GYNiVn>NR1*tNc)QadHc3 zHFo(LD>cEo&s6SR#zwKhbX$7W5>n0K$}^(Gj&n_BPeY2^0QG4@mx!am1cF6*bw4%d zZ&-VD-l_U|l13*ty%+Q~Aas0a2-wqMdR6=&sS4(YYUyKY>Fft<-7~MhIdNc=3>2#M zd0IvjYGwoH#Ria3Nwv_^U0v*JR9qnIT$EIf>17WC7Ek}sHMyuFgwkNr^@Aa&0`&ZYt^BJidRF7k8 z&8#h9boWu4CvUSO&Oc7_;wx1{>c4Y()v3~%=f=c4-e8vYHRq49S$#Uo(8^bgk7Y3p zu4^vb*4FMh|S6jRa!bU zPm@$)E1ovJFg$xtjj{ALY$}{K&o4zDe+9$z^z)f`Get8P<=L_5XeAko?8-t;4tfXH zh#tLjI}D8~;%nmgS?&_H`nr?#S6y+IAsj_#L7;Hn)NFDoE= zT}gE2G-9WH7HAt&K{F{NO*iMVHRCGV_a(q5T?|4sXRYi40roBS;ME#?GFzm6d zW9MgGU7WCQ=EtsJoA`R(uN{d$=uG7{-2PzkJu>pC?q@O}Wcp!{Y+KNA|4ECMrv8Fs zwIM^p-L^;-Yd2;yhMe2Y`o$Ut&ZR(iZi3%$bvG5-lcnkb)}91XN@>w~V#j&RB9&yzBEESF!=k6gRw0qP2+%`b{h&x_uW@7+o=rsf$w4HY+< zPUN>UTcX(+UQBGbQgS9B*yfBWbehdozfDzRA6?Xm1-+E5;Ry{y}8zu4vZxVr6D2)9BWni5Oy;;wAaz?&+V3 zlW~>7Y%K2}pV+A{66MSEoHFTkaDZmZ099u1{_Zjh=PUosHz}_;K!(X{8J+Szmz;No z$t%%dOc8l|`6sJ+|zBbM4zPSxHZS7UD%yw`t)0iA1Q}hbiUhpw~f$xV363^ z#HPc4Dg2_s@{10SU-%kkfK_MF0R9~r7~pF#<}9e8%0rb;if?cXyx>@=Q_Bxx8x>ce zJMq}YeMWp1=a>@b9L+-$oTE|9MkH)`!Ka$h&W}CL;m%Y>WNw&-$*2Le8F%nm{5niy zuVosKtDcTk#D<;5ZlW4v>ZoDYrJiPz8a6^qIPH4g)EL#;J?~4`{wqD4wjdOW{a6MbfhdaSSWJ^{*xo?&ioDV& z3e{+JA%A}ULj0BUH;cbHrP0SVQ%jMG18pTW>KDIe5|>6B>j}CqvrzM``ka!iK(tSw zZEU(mv@|-uh(GF_ABuFPFOUUy3nsWJovGlDs%irg}&yU^xra|cD@49`RQ8iO8gzS zYpk5D{|UT1bjZ^Up0D8_^z&0V5z07ziJ^j*xvO_nM#G5gi zSIm6o5|<~cR%`f0CneE|MIAME=!BSDjhpmW2M^pLPJx6OBj0(dbYH{Isp4y+r+QvD zYMuc#`9Wu^D97N1OX4`7zryNk6ZgZ{oBQEkfsR4(`{8kPXouSI4q6$ySo1br^LP9o zqP#IbPF=J5=0o)FL5`NNy-xJc+UK)B_4@a9Y_P90{aY^zeI}VgYurBUN5sr)pwNZq zh&tz=X{eGl?AcztBG4;b{8)ZHt@)Pz5j(9?r-WJAs0ilcAQ^yqLv9wYOdr7$iP5f!+e68^yNY4 z=T?mSJY&H?QP;uzcnXFbVP`60n_Sq&8uVR);lz^)NcnJ($8 zxF^qT+}Yd9cRa7@EL{o9RloPN>aTdi z5b|bo^MwlB1{`j~t~33Qrx|DS_A8aYnC6W3cKLVP3joWY7^9A9u zdDdF^_qA-UTB}N(vAl?|uP#|4euZvzY@nOL;yv*MgDaDOX}l-ENaAjJRhjQ5&J%rO zml?_TXRjHo_~bIm>P0$k7UGQTJMfTVZ!lVy7mUtJ2)^b@>X}30S5kj1MPPUL35l#z8$4$_R zjWb3BS7@{5AvSsmc#UQ4jQ3KwVBax@TY+a~9K)5Zc}K=Yn5llV`M@@j@v0{uj7z$E zTeHy9k(LN*q>cR8u^(0z=UUq-T?`%8;$m1vO(ALwdzwhn0zVC^KgMV~N(OP&4q3|Y5h zU#PM@K0e&p)7wC6JJLQ3Jycq`53g|H$^)gvUA|`2GN7!jwEK47kTy<;Fs@3ky?9(K zs}GkULPG%c&9o5LB|~f9?!`GXX5x2w=P@CNHwH@c!qIT*F242qhWG1wzk5oD{I&XT zG`H}i(pVNgN^Eu1N=>FXYTj_F$;K7LtMX@+6(6YmZp*2_HZC@5L#ALH(pu{9Bw_vr z0x99Nf5gx8@QE-=?80og+@E&ZsZq|6{lYO+F4s3*c+$xU_SuI+lg!fMPwJizM}IG} zkz+aRgiRT>Fn3mV7>u^sc}bRUC9dwmU0n3PBT@vilzYuHh2J!HSw zmB#z^x<_B8dqx*$js!oawZrMBuTdP=>+7Sj8&iuvNqBA=o_BJ3ic!?opSRBi&XDtH zIdJ+KM(W>{y@%}-u*i^y0=A73aig@?yZKFgI9TQn8`O0ks5AY9`N%dcS1)p>bhsjdH*KlDkJ0V~~TiwMhauPuE zIOIW1Qbj-z{R2^Xs|M$R^F`piObUs%XICpr%gwHxKFJ4ai%7upO3?i#~c|95}z(IdxGdg+Wpd|E#xmcqwDVsAIs~k)sQk@ z=1gu?J5?FYv{7DE&GoJ9EH# zjqYP6XJ?<)8fYGDb@pm0tzZ-Tp~k}<`*+JeDm?aa3S6Q(JNl^6LWod0?&lvbY>0h1 zVL6jMP&a0rbLWQ|3eTFz+NWbr)XUftRh`QDP<3yA(f3oUWCH9ioC^r(_HXI$)hBVR zbF|z&l+OMLaXH-EFTXJv?&BP825fvOUu9~^n7Ffx*A_lKQZ3a$RDVKnp=F*MBW7~Q(}HR?ed zw!(3`b-R#y&BZ8R1J_tcN}Sl2yIpSy&amcAI}E<=8(h`(xUjueYG4AKLUScEeizEi zCVSySWz%I4X0ZIvj12XxA>>4j`cs-{cadowMZGSXaEI{(E1PS|n1!HcQQP>&dC9p1 zLC;)t&-5Hg9EYKx*8SG|Fc@Rou)yoPJAfz+Y29qo-;pQ!mcBtvnz0q7u_szpD{91q z{Rme?L%i!&nzqe-i7ii{cw=p5@rH#smdrU98@0$rxmSK!BUvH4Q8lem?FpIJRP8Ng z++U`Jr2EcX6Veksmvb1ew&RVWgCfYxw`fVX67)^$y3~Bc=WOnZ;a9CKAA(hUz z^-$b80eDY0WN~$TVqm4JGrY_W0pN+B*-`(pJ)q|swlGv_PS{|ch8#JH@hv@<9)z7g zsU!Fm2{?blRO)=G@{X6ji?#nNi zujwJ7&;wE)iJavFB>EevKXFEqOg~uv=osX#S1tD}#(g*36SYTax;JmfVGDTa~G zA`CV(f`hyfJS08_?2F^0EbaC9_*HrO^sl3>ls;X9hB7XB(CWI}sjqv3W=Cw5;qr#7 zZ$`8O2gcoL$I}EnNKZ`ATD^LAC{g*kPYwld<<}p-qOXMa!PmOs^)++L)4(W)P#puU zEcyutWfFsL-f6~h;g`BRvqu$2P=!aBjPtm6EfJh+3-=cS5!DGh~Tj=9=EJSba@bW-jeVq4#PFE*Nh1|Vf@;Z{GF1(jXWz157s5X+v zD;S&CHLsvINh89+I{99o)ecq=(2vSK33@?oey!%;mhUZw+qGeGTubeK~;b8>l~!Zg;dL z^u<@O+j=Ca&o`=DNl(Les;dLNt{#f1``AXr7v=6di&8>;%|-dxcn8-7R`#;yRvpKQ z`)d24-N2T=*%`ym!`!*gw$?gUfH(#qrTPx6Ve6dYTP!t&mu?jl#F}ku$6I{4F`T0q z_VnGjV0xQkG+RPeTAYD1K%6juz0IL(HyP}uO)PRRAscffmpPIXN7i4YE|_#OyPWlU zjARSy?j}mc>#6;|giQO8p(khRMM7_0Sa#D>d|Y^TLcaV8ew581;Zc*@#WcO^q4mUu;T@w7-ALQS4xH^@`1w$WtOgPj05%#&+>f|YqktaeTiz0BkF~(RwmmS{>(GNl zcyYs+d2{qe@A^jX&^xj)l)ol-ED*iq`JmbJZ0xjB>B+69N1VaK~|KAxx@a>bTg< zNZmWj+1ZUy3?HO)?%qnwh0A-$of}VhiP}1*TKV0nu}B_gWN|}HFIEWObP3gyt;w8U z7AQwz7zFDmduBP>oXkRu8mwOAvJ3h?Rtd`<06L{*mm2LLE*QPHTc5Ry2%CK?U!Gnl z{__>`1sv0;hNRq#%|{EL>RUQBGqF9#BZoHUhV&&rY=AVrT7I|+1^FTN=Q0HR`pYZS z!2!?6>NQaNXK`xxyETZtIt}o%EBBjSxz*&EJ>J7;ti6Gme>|&e{|WulQ|9M?;ognS%_r)t#Uz*2pr2S;mkm9D}AO`l|Fs{dDL zc5O|9CIN(Wz+Y3GvJMW|)3-$gf#@438mSiUU~uAVxQ+zw&Vv;0r$1-xxsox{=J|mr zH?ZtBch_Ey!{Tc=lhTKS6kp@#hzmlDInc6jc~kO2>atWL{eh;#f4JXw6~{^Okuv%Y zDd&9+4Tm)!rgqPV$GrKFJ7bHs_gme`>%`Kkj*PB)1h~dIi3}Hd8O}8sd<~era1^CX z!Y{Ld=YP?7breyWfx)GVKnF@fAYNA+2X#pHr~!-RFRb7WiP{4lfl=p zp0&FzqD)>p*cq#x@7s3V-`I+h+qlE4!b!C8bk8>Cc^SU%wK2oAp-f&Ie;|T3F5@(U zzPJ~9`E+EK1nSM3ZC_5d?eveXYNZNLaicB1?H@Kh&8FwHMU?I}F`hgli?PBrBAOzt zrPnax@k2^O#UIy>a=r-1?v>1e{<73L+U$yd#Z3Z+=T8Q?QwXKVvr*%U#aaMLn!&wJX`qo;|$%IopGPNv@)Y&)Ocws15|Z z3xYJ7-?ZuUQ0amIEL=+-lodU?XpYFsNl0|@!bBHM|Ey%Sw(EepIKp(%)54%3iTAQ0 zRR=5aj<(rWsZ_1%&Xd}biLM&01$K7(lwqyWrw4^t(>fY$?K?KvtNNv@t#P$)$p{i6`;M%;FL`G^ znMe-&*gb@7xdodn{@$b<{ml%lmRIG@3q{{v(ng!q->A?6t6PJHzwWJ zfD^nFV;m4zEsNizeSzOywyAri(~(EA=x_bE**Hcp_$HUNu;g~N9XtiI+Ggf zl6JsM*weBZK)vRoX8G0IoVD|_CI^XCx9 zIw6cw?2%dWeR5wz3IlX_%g0v6A+da5qp?vO#<_2|q#0jBBiO`qk1^8VLg;_c$Fx!~ zRQW;akoQArAIibT**e?}9S$(n$Hf6z)7JDbL#zLw1T1k<>d!l-4aj^A5#r(yq1?m) zjQ^1Oa5otqZD@}CufbC#6!BiST3{nkx5|(b=8S?_WDU&aHqYr^p6~X^!yqZoP@CsS zFVDF>@{p!H+E>%o2ODf#NA<`9UX0%V9jb|QBBV=XiUAd z-17D`-ot%by98stIq$TPbEiqJ6_(Ut& zn86wE9bj9%@=PZ2E(xlGC33Ltf7SRD?2glOIO%*P@bzV}W8%cJF1lj5;R7A70E(1q z?;8D~(Up8j{)+qIdgS#(wI4hzdQE_^Cc5G(3xXC&#_PNPA8+phUsZAK@#k>@0RlUz ziDG?4jT%KUiq_-?+njJB=iotOK}{4f8cR{UmO>6h8zXpva=JN6%e}3ww%Xc1E#ZM8c_Ek29S{J+1MeI5a8YyW@$`Fu|H-ZN{~teIIevu4ejHDH&} zbN(8`8)FkUcG>u98(;6o*QeuG*!b}_{s=$*AQSH_dxMq+?b**;v}0_tsZ_r|&HMyu zMj5_|e-*}iGMsA>_S%#$`6;*9`12AsUToukZR0ok@psyIj*X@;Pw_GT(8i2T+&JH) z9Gnk9-}RGSmX2(*ku$8WjMCUi=R6Ts_`;w6|66Rh^hO9rU_{p+w`9QT62q~|QviifLl+M7+@L~2E2ICKp*ISrL zKFr(yXUOVW^NCat!bQA>$b~%rc@;K3{V7%0Hsf=R35WQ#*KKO=JTo5qy1h+a{C7h` z1Emm0xsHCuN+Mq~G`D>NgJfsLF$O+W+fhJNt@|2~m@MW_^n*qbWU5qJqRs3(ChpT+ z#o?r@OP1j*R1hg~=Ji7)&ZO234^T+StG&Osb(I9r(265Z5~k$V9rr8mN4%R1SlgI{ zxeanahI5edj30ZYjV<R+GGyafi}VN zQPR!ao$Zy_bgOK-34Xdk_>2O+0;+O9XqyRYn=4e0W}0~v(Q4*3Hu_5}M|46xabG}9 zIoYCp?I{cNUk1qOI_pE(z~*&~OYMrTdYFBloi-7rD6q-?7mthLv~w)(!wr|63jRz< zq>l9~aq7XQ26RXmvX_#j(jI8jo?%*Z50lpHuLCj%5HHs!=_)0&d$dG-hl7>go@PwF zltCrk%4TtJ5e#6Juq}XA`WdY@&~2O)rW^i`x~SdA2V|@=y3WSqy~S(<6a3zNWOC;n zs_FLY6Y-rEXAu+J&`{Rep-v({3kWPaKW*)xDNFNJxp5(6=c%x}Mp6~$hm5P&pfMZ7 z?T&Nz(GqTCw}NmZ8_SH^yIcMR(dy5o(tS6lSa>!?^Iy~{juvT{jJf5%WATW?Q(E;! zO+!znm5`Qz;rp`TaA$JOem5|I zy7?!BXd-kUnLgopD44S{rC$3tbL<|_$&G&{$A_m+c#a&?`Bi_esbjR6I;d>pG4!y< z)#)~S2i$J@GVbQee&Gid*`PxS+S?C$|F;He4}$J~%qD!r1mR`F80~V#&slM=x|^Io zVXlaXzfN4{J;VuGtq`yw>(@5IaO)Oy%82zc9b^5sdH40{24A091R>GZ7mPkLQvv_R z+$lZg16D!4*17sFC}gR>s*V8{9z0vpNV4qLei8F+5%*1lclqF93+}J5x_t1*|5ugN zrah)ry2>7eqbPtLzK<%!Q;Dv2Yhhdt_S#UEch&KBGQyI zE%>Z7xf+i+!V<3roafkuZ*mbe*9Biz9@`)9Bcij)L^bso6LJGMa0Xb>jI5RRWN|13 zM0O|I>@N4Sd-*q}xb=Q^i!UOJf?~38Djy=fE7aiVS(I+^e&`wayI%$o1yYYss{D>E zwhSvl3PP%}jI?VP%M^H3r3IDhO@Ry22vxv=Us()C_+*`8$ug}l*Ctf6k;m`-JdVtQ zm~SC`wb>g!#ApklT@$WV&ta~D(yv-9TYZ>UZZpMaMOs{N{@+xwNB1v4Z&X}Rw8MO@ zU5IP@e$gMcnS2bjkntlQ!7nWWLuihL&@oUTuJ9q^SrCO5LPG@*-|!*Mvk?1{d083R zI&qJ=MR^umczN*vKIp?AW8ooF1uHZK8=MP3l@Cxn44}vYOpW;d*8ay7dAthwYly9Br@s@8UB2wBUvpv2w?Uw?e?W~T^tC^UShG9s46HUJ;qB$GhhbJV4N-t)ER`pEUZdYa^J5p>jK52}$JN z(s&QI{)qqO)m2QJv!{mC@GAg1$UxMHgjhYd2*$NC~RL1ve26 zA}i_3jcYi+&ufhE6dIY|>ZqNXCA;w?Z?vvW-}ZP~wOik=d!>x&6qZX?;VZ#)9)?VT z*kSZ`809R^q)yz1D4ToPlvpstu=6eNS&uV9=j z))2B`@&3Hkar*_Yd*InUTyTrZQ~OZowt;O7z=_+G!2{(4x>E|>r#R@@+UG@rOtOi% zrL3EKC8su+*+C#r)UNG_*vYkvR3gIya^_P$4ciKLq(XS#nR(YKPzy=82ddis&UGQ~ z0zMr76nMbnJX*~>Os+1Z7!ZBP%vbYsjA;BJZ z-dtGa(aXwWdzkA$^XBupLC4&*BcPy}dGpE8-mY5jH0%0Mr}=Sy4`bpnyW6RJhGAE$d$k`azzWWO2_ni(rnd`2FeqnhQBccr1Mka>lx_S~$^E$UI?sL}Gq%IKGYp&Mo7Uv60cl{PIvTwm6z- z_d?0b^PR)zZ=)AFhqw0`w~q24SA2-hhVqF!7JVKy-+szN0-wiUNX-+=0I1IsFS4<9 zs|gF=!oSAr_}8@D@;fAbhYFhbN!0yj)ny094p5qt#~bf;;@h`03{-wXJv=!e0}(}! zk=Hn9W)F{tz3=2HH^~xBL%4VB;qWmq%>{!ryI!zM;a+reV>z1g^{*HyuW#{)InHTp zGkMX`rU#B~gJ>XkBAo4%L%D}YJG)zNj}ZJI2xb{99}Cq6{x!WXQcjjnyQY3i?l@e_ zR6YtZ8wRfNNjeA*S1?n?0W zqYQ*ew+(9hL}(vaX20kY%010cD-=zeEVc5BXB_%rhItE29BC~YxdNvCtfaPL&28IuaoUF*neL}Qhx76LkQ%8rTCSg;NQtMyw$%TB50r__1 zAHD;a#X~L?^fy>V1dJG3kK>s3NW3>7-sDtNVePl*8&bAWy>J%)VK@H6gZ#&n3;!|w z;y?Z=_`jlJ2~EIDm+@feRQ{pjCIXyFdpK2|4ZHc)g@QZH^A{C6cqa66~g@mg6No zF{PMu`M~iuKCC@8Wyql~#rj=XQrvjCv=5$+S7Ry8OID**%&9$14sOEkt?j59o#<&r zLu+gMo#|`um6nw=dCIKiKe)lueB-yq-R?E=jqj4E>rG$w7vmU~>pOR}jV2725_)go z2>UYGcm#U`70uyw`v;R}1cJSxiolVlV62xs$#F+U-A97BDlUw;54%$XdM(0FiJryo z)KWc5-KpdC98Z&qp?KZby;_<+y_UP?+6=u`xK~Rttk+7{Y}x7cNcU>(Tx!nGIY% zEO5RJTusfXaI3X)1h&}*Yco1KxZVa!GimXb1ACN@7lVUL;CKSvw`&gQn2+UUAW96S(<-LxKKD43sgw7YKOZV;Cbsb09@z962<`G#*s=a$j0x+p|bUqz& zH<9K9BT-DpT~Z(=zw1`QaPs?-i|`>eJy{oUSLC%brvww>k4PS>?dyCt+S(oA{?`DM z8Gi9*Tih1wF&V6LR(>kJj(>)4TsFRm{{&w&uRn{p7j`4A2c0yW2XXheQ!L7Txcj7E zX!_68IvjGhrwSX*TW*mBRMMArL)Ml;whlbVACE?orw4|~1Hu;pUpHtumRTGsTsg-% ztNU%Iq@D@{ZFlE02JQ4r{p~NTBi+ZqS%a4p5N5Rp9)cFN%c)4jpc}Co0psfGGOgDQ z+Tcg-NTkOnc15}o-J@De7b4OLz&&M++SO2;g`f6L*!E77oV$FNJVZKe-`%-+*IZha z%b7*Bk9AC6ZLv=e;Ho);|4c3oEN;&;9z8?Fl|nq%5^uz#hp3oQL+e1n_3;5Kk=H)c zi3gUostLni@R|1^(g;9nj-#{55lK_Hc5TS1f0JRw>z&VKXTUtbQ=(0a6lIKxzWr`` z@b%XlzP*Qk^rhUz^%EM;JC`sra!#~1$VmBt6Xns`$361_77AX&@xttBTrNyDd}9Fr zMKoBLPEcoeJQ!xe)A2Kn()3o^WO@M1wxhlKhb*MWg0wpesr0p<6W=ev=T3n~dTV<- zaIxf8GU}RJoY!a~K)$GtPac(bMFBF!ATv^Y2ldQKZPpXuB;ot&&pn_@qxF6%oHHy}S%zYc ze8gLHi5Tip@3;4;*=bsHL2#B0P}+_Nc^PS#&1!tGBl}8pzC#sv_ywoh09| zq}N7CuT9s5-GbRaq|B4-^(A=Dx>GZi*(u1((YVrjk0r$MwHRB}e7n?H(Fw~*WGuM! zh5VfRWb3A{vA6NXDJ{L1UCTbQUiMo=pq&p8jsMOV7p7ij<~LsE#8{pbhw|Gc*mVz{ z$a-y#Q~E6Hkr&DA$wm7svT2UPeS|E+nhfk*VstV%l+TtqvamB7he6H4!GbZr#l+}c z@L)Bv=N1!6`Vw+Y`2-$8^0k8j{)4W$Prau+)xTkuf0lF5AD!kM!)rK;$}<0 zlz|(y(Ky}REGHu^QFntWpO>VcL|gM4CjBMMZ9{Kp%K;dCr8@PmMUtI(nA;p=XCmNT z03d@`q_%ruLC}4Tt0|t;`1h66_{UzVhQIXq_qJ15_E+1g<+u7{K>pD#M-Y}QwTS2NaFHkEt>pK15)}^ zdEnW@S@9@OYE4rny>+o_ZhG<*MBh3MmR-aevT~V+jheZqknwC*D5okC?`D8&?lJwE z=_EITs8YK}=hneay0?hzi1}QYA~1#Tv*{cBYAXHlDj}V;_D0XHSS#V9R{-dIg>(#-8P@bp+T;Yv-NXwrn?*5C$$c& zCf41VN;9tWIdM)aj-)gdR=d5nonaqV_-b||Y55CK=0mgi^yk5-`!i7%U;DmOIXE2w z%6&in!AR%oK6-<+NL;Bmt^ea8rq1z9nSD%|tI===-L5Ntaa>+bB!BJDcKSRu+>9<% zmOw1~C4xkfVZ#S2oyzq?noa!nmx$~O#X5TW(g0Th`3FyhK{i^Hb-yPuok%Vm$?Neq z%hDm)DAD@F2iV;YmAp2a zcvj#cH2H01&dha8e^*FTxfWf`Y_zz8R6z53!{D6h4;(I6Ej@wA((V+UKNyf-)(oAm z@HL%Qut#oBXX`=;rZbcet)uQJ^L9yI=Y6C?J~MF7u*A3W6?PLUWQ1`rGU1U_e?b}w zFx*;kaGencg}@t-IZ!6|xqL<4ga*KrR(!vuRLlK^R4d)pEVz%I=Bw35OdP7*hg70MRZX|w zjMmu!1paVg4Hm`54|Px4s>PD~NTg?bo;L%%&A^?&m_pR9!>u77mR_nc zResp3pK*>QUm>imnbEL!sA}gh#@;qCCxyy%4P(2S_>H+(1ICVWagG}9kNT%;X>Q^< zJ=q>W01Z{lmyB4j6=vr%TG4`K|3=<0EZ}V`Z**!SMn1*HC7%~q#q1&7Y@PFYu~p0- zCHsYyQFk$pnmZ=8=U&mC=^B$qNXxg`sq9^ZxQFAHpmX%PMQ8fV8EFkoERVECCyF_b zLvJ|ixQ7J)r~%%gCJRlJ6!ft7{A+n?!sd6S>2#XeeKpF{*`bL@f3xXiG@1lT(=v`) zMk+sbu=PIUI@dI#Z9tI++5D$0{HK8Yr@;KD0{Bm@NT;WIl1@*F<$ZP=PwD(52THfM z-8^qFSD8pBxP(nAGRj0cT+Yz|&c4UB4B?Ii!eTar%w1ATFbZ5}H>*lQ7dURe+ zDfepK!|z~}?Wsjhlq)`Z!mS&-@tqf3u?Gh)GU2jF#A^V@WqYr_iJbT($+gPIJ0715OfTWY z?dJ1K=jGy=78jUD0~G%Rv4Bi-tkw>`_~Bf-0nZy-?DN-6_IY(9PuvoGiIJj@MG|Z= zd+eUrCk!I$6py{QpWPbwS{2zB(`WaXRtdQ<+H7@mhUnQ(r&buVw-EB6`8tv}jX10< zcw1}Uj`QOG3)O5{E*yQonsQ*NDbbCo4A4%hoFAOwj5X!iQ=?eT2w7gOu{Un5Ak5Fa1y!iqTXN;QLRP9cmARpPTy`A_pg&T z!d!|!WS^FD$7&|=FgbsSF|22MfheNDIa898FW|kB z`7FJCqAz91!{MBJouiDMP;4a~X{ask?CNPE$QDTa(XzKW#B#?{I$+sW zXW2lJmfgRvxCsKB!|laGECxvQa_uneDg)zD|z zXdBC7U!VKU;IL<;^|jRa9KTN;C>MiX)de+fXaVQ4S9J(9dU5UuT#=i@M3`=(=v8oEod2WvpYrq9_Uz2#wD;=w^U50WlFaJsA-osoy?vYf598oi-@V<$ z_7j9qUKPci(2*FLOiKo?M!$i_;s}_BdgiR`4de++Z;qff@0zP?2jH%9cf*7(({2ru zx`WQ`4<<{OB0ZbF`@18N{*$gaKZtIJ|L&+@?ZeKBA2UV_7H6$TZ1y%;gc^vt>kSWh zwJ^P{r?7FQaJ{&}-5g0auu}kek3=SL58=n*p1RG@ADjrk?q+{ka(? zhE8GT#=$+}pNzqv^61SAq+^g?@yv~WOOc@Nqu7|YxdoCQUH8%8-fuhS*jJ)LxgWjl zoU2dsR$P?#`B3M?M*Em^2KV$4i^f2%k5(^G9Qb@_>jD{y0~v|~hGPEv6ze;hSNJ(` z7iMr5W^ila9LnXtkGqg%7CXCtV;#1fB?BDfTq|Y{yE7}Q;3LEG5f@wAN8skjgpX-2 z%TypL(gj4HqlNxqH5R9;5mF>`ajo)AuHm~-?Ms*M3oR8s6ZxDuo=L_61cx33#<}J) zHvN2FbyunL#$RR0xtyM6UWVXU^Rf;W3%Pb!ihn?{kqonY@`GaY_(#Rgl`_T5>d6t7 z+c@r~H=iB|*X~?A3WE|S{@(ya=|)wYc)T@|JS{8g3Sn{|UiuOnb8=L^F}`sJ)8OvmTNro> zBluI_bvOwjZ-hpFlwb!XFglUTdms@E@F+|KQ6@wT|Hq!w=y?#sDtGZQdP2ugWI{jA z+1)@*!l;ID{hk|pGsQe&eU5#JuRa;$EPI(3GarO%w|8Kq&RlQ_t?%|P zW~Qb)9do0m(1#XYGQGBEaY3YZc9gUz@buPsb>|TJ*^9T zO7f4)===P@ek5gKr=>8$1lyc&*EPS?Aj@c1H*Aid`f~nmgZ~6Ecb+14So-J=7rE$D0tg zjoK5^I$s$0FA^FZpcOP^1;iedv?LJAUZ0UMP(yI^tu!rXr1~2*65L6RlxsM!YlnE) z;;-u`GV&VR4`k~4f#GdRv11p=?Sgz~7f4UDYwV}t+9x{8%!XpP_El%aD^x+6ygN(5gqau062euhk*k-iKz<J#UhU%YLU6s$UoVxq+;Cg$_M zt6~Wym99ZL2lp*ZNXhV60^6Fr`zS5AKhTgkx~kWb5kCy(p%ut7jV9|t)kc* ztDW>-@6z8h=+G#v#qQir&7kj3+*ynoD{<#v_)lmHtkk>o79Y&Jl^3s+6z)!z^UJ!O zYvno7JLr6DD0fOFaIuugcVPx&KhM$U%;`Eg>B{SaH@?vv(NcN5VqGgveAhRX8cV2= zC-xB@V^;@%=Z}e;P2OIoDZwW1+|%u|_YC{|+N?Ap*$fwXTlWTA;x1vX!Q`QB+_Isz zaZ87Uv2DcQNn8|MUvrlZTgJ+T?*K*yR0*ZlBU{fAaw?-(f^%x_x&vC<3I+GquPa8C zW9rG>RK#&{4{xdrv?t)?L(B1q z`zCKoc*6pLH?6f$6|W|R_h&rug_Fsb(rNGx=RIlzXBMXs5x7Qyz3b3=QEBTK6PHXL zkz*ao7xgY{0;ftbc&L3>S;4z~Z;1zWoEOSnzO?N-0&zbg^rA6+g+-eA5NeturK>{AQ$@gWQrn=One1Kg zW9YufOb%2Z6AS4B*kh-JSblPnCD3WH(%PjYjXVyr2Zn6pf$bF$#F za@ui&fivVf%f2@pE-T+Y;83BBSn%x-qeErvqEHRRinZ2IsMt9K9Tz*3km}fJwo+;+ zV634x-r{!|qz_f6cQIm3B7QNiS)2K9_d{Ni@td9eN_O(A*vaQEr$1YVGpmmkV{PTW zL1X`k`pxuhbL7FO5*dPOd)f{}&~^331+G7hbLGgou`yYJ-ZSFk z-ngI*5RC5c=jy`P>j-8vhAVQzTG%9lXpDo{s|3rr;Dm8TlQEBO`_K%=mod^wEZu3p zs?1cdv|r{AiKW}@Lk75f^;?i__OabQJo~UV;!BOx2Bd_yM6ik<2T+1_{KEVi`8Dxt z;WrnA%MG!?c3zj5*QGKv)|Y)Ow~w3b;}-k4!#-BqN4I_S*+(5KZIa(&X}ZHcR@=u) z^9at*?0-{3sqx!PlJsnA5|#5#ZjSdKh%%@o)l$Wiwgy+{+~n}x=PlTd7*=S={Z9KD z1M2(((5ZlOD5IU@Ez35B6Zb74mAm1O-{9ed)-&fU8{))pXgz&&SrLmwH=e`bc5gfJ z$lI+NO_fS+dq%ucexuE`2BtxMQtSz)GG2%D1?W?GZ5uV;msrX}pF zSz)G~2|I!?3RA^Apu)t}@KLwh2|dwviR5)YO_Tx<1&rXW00R;A_w~~OIujxa(g8;h zpzPBDdlR6%(*cFkmvy^Of?itSXUzZ?P<7psU0q#cGu6eEu-RLf2{1C7!p>EgQGIYG zoGcV}GGP?2TG^?1>K17>;e(u%WNvd??12=s|5b@ytbbK|AN zs)_r&$81E{w6Pl>pN_cKMl{}AWm4>$j`*1(+>`5kN~g^A$<+BD&C<&ZjZDZ>8b6)D z8-?)6npI*pW7~?pz*s_H&x%b%qAj=EeDZ?bitdhSW9{s}?5s8EIv*7V)qe+E`RGcb zQ}(46#dZ_or(_Ul%O$1YJ0Ex5a-R2w)ox}RYV#OMw5*%@neT+y^cckV>#h^K6}wW~ z9gMH+b@-<5^jr1hMrLAhp)8u3yz5U=Eg2&a?^^q=HuU25UCrk$w(n|cZ=QV@PkQIt zcd?^4!@i3Xy{YzHobT1zcl9jqX!E|w`zH1l4U=BCs`6;fyeg;byA)Cu=`9WJN1>X7 zJH8b(#>v#zysBw#+ws-mW$(2eAp7Z4io0kiIv~ zjUH3yb(<*rHP`!H*4KRR7kmZf4{$?!2&eVeDV29EfwHA-;foA6I$cX33$v|IO>0rd z;s?}&!c1e~d~67>S*|app9x`ilsD60w_$Fi&N8pkU)FgD;O z1vmt7bZKd?GOC?d)cJi8;_VDsM)v+@U&7ui_NCE#-oDKB9=9(|B4~2ZeK%AyucBk3 zZntz#Zenw+rpmiB1;SUkcQap@v?Q;nu3cEs`Lw{iYb`{}{bBMKrc-U%D?5VjC%$~@ zo=ojTYpT8TePDgnc{8)V%Dt0>oGqOz!nN}%J2!#6#XHtOOqs8dt}9LkRBCz0w_*SJ zps1=+etXismzH}Y4d`aIDe|_BS9{p_V(+h0R3XFT>$2i|cZo;!%_ev_RNGqKd9CKA zUjYzJ%wvmtA?FC_25h{xg(L3kD6%k;#N zZ-mueA8U5&KwbT)7Zqmrt|h8Kr0qr_J~iULo04B6?&S9 zZ;eox&1|RZ7sMsz7f!;owuJGEvun_HUbq)mm0B(Jtwae{SACqL<BTFdqxe6)k)SlV@ zHwS&fZZlo&O=_~OR@G8v?1NxM#*goe_ihfV7B+d;o9ByW{0JvHNdl+_RkMQC{nL8w z4OUZArslIU^Y@d-ODd|v(~0fj=EkKe2kWQ95!Ri`_l5h&hj+92+$P?grh04;J`g3o1tPAGrBbo);=CC)KQe+mu5V~+vE=o%H%JQFVvd2O zz5jEu5iETv6SZpU+dR$2^Wa12=_M_{Gk_#a@nI9zz@xk=CY5WegaL6<=G!|=@5u0~ zQvSrxzId+rN=NdUswTbXeN7TVe)5b$D+2Tf#84)gs&I7jq;HV4l3w6Gsum7ocX$Xh zd-nbS5{Mxo`Sn8P&_r9_PV69GHJWvEM~tz7WKyj2O@q*qn0t3q{Z+H`nqr8IwzgH4 zM_W58E4+5-LY7c1FA629rzK0@RWTCnY&_fC+@iclB3x(^`eD&TAkX`1Cgo(nN%^r- zh7wiWVdJN@mO5b{MOJEVw{fnyn0`4pR?Tq`3Ge>~|8%;wQSDflzK}L-&U>h4>U@d) z{jBzhQ4j3ZzgKfY$LZ=XuzSxWY~JO6GmKHV3U&m_-!Vqs3B#46)p5W5Rq?^KwnYPD z1fXVkUWSqDV8b4cU%^k{^G-6L(gO8fo!!bXl-0MT))W4C6-?HB+~95r$*bL)w|+z! zon?QeXq=5NuosWGL5@=NIoH0b>O!$zWxk%{E8H3!AJ?h(yY=BVQx#|;*A<#JUKwuX z;K&B2OIuM#D}wP4^J7Og)UJz_1X*zw1Z&sE&NBC*4_;&r@hfET zWL`(ars}nh6oFW|QaHidt!WYT)HaC z332W&2*so?dQ-}W1DA(5>&%jD2rL{@^j_SWvKgGs3Fe=wN)o@RXd>Ys3(dzLDq4gk zYkw{5US%3QKDjc7ThCk37R|(1hx2!9)D+y89L+za%8QK>A9izhyC;=tvTPO_CGXn* z!<04o0~5qRa>pXI=qIBuA0x}p^@X*w3p;NNV`ZjHWnCspI6~Pua`gbX?b(18reLz{ z`B^tmOCMCpgR|52*{#9SpfMVz^*RoXy8R7q4|7R4T%Z-i%9`S~QqHnP7(qGLAz!mpo(pRL@H?mpCo=OhszvQPUK&fBPN^R}U3PbK`6%CU%hTUfxxZAHb z>NYo}#*avA5BD80tE}Uaspy1tpL%^%+a6@mz!@L8wA8%IoNgwb!W5Zl4lwLmL?dQ?vPBEM&CMh-!P#qv>h|iAybH zADS2)1IS<3P+QXZKb+DF)-(q?jv!H8y&KxQ3E+|SiH^OS21j*rnR$JJFwR=x(Yw8& zHW=u968O@NrZsBzjQ#&~SRn{?bxIygbQIRv05BEv?8GLa#8bZL)}1#6p2 zJMS@#qJCMNtq!&N?VzojXQOUU19c<1k69z_#GIAW-LS|XHOrDeYt*bX`J-mZ?Lxc< z@*5$alnpgar5$IQ5~TQt^kJp1PNlETr00qt8#y@@IXM$KS;%bxz+c*VH^|33E3{3t zMxEW4Z$Z&Gtu-(zdSU-9ght#tnXl%xkBS|kYy)fu9GJo$7#!P~XKG&Iu~7n!BxdD_ zj_N7#j?wLfv4gOmJ~A{~gf5cXSCQhqzRm6*$;R2n;ipNo^25A&U?zpv3M{$cK-fcw;7nQVn*OS9r4f@@2h zYtQG2G4_7{eM^4MWtFi*gKJQ4;S)X2oJ$+~+h6794BT!)3hh1Q13%`A6i>@1NpOvJ zD;W4D8KcZQtSoYmVuUpLF zu!-9)8yzdOmAxc~k zOiuZPnR#&(4^XI)mknK7Z!Y7?t|clNyFq#JkuMgvzA9Mz^}^0E%JfQ|=^Y$pUPTIC z4nn!eD%fWtzlO*2udX;zm1x9yPE$oF5iV!c>8-1zO8pIwR8#nFh%#+sC|La=fM&Wq zciqapTk>-BJ0a^=&-)^N)A^-1G^MY8I<-d9c2chPf`_d3pUt#&M zcuDO+ZDZ^z#t6C$x#nq5n(^FlIdk{&|J1fcSvAR*vxs`1MbvLriNg`=yW5Tp_i|MP z)5Fl(C6kMl<Zz~ZcXaIU(`);tJ5&4EE@^8GbCwQi$8YB`n;nIaU;cpw4_#6W;e=Es8z#QLo^#yR8ryq z3z1E}KR%$yO4jFwCp@##xqoIp*6jB;Vl}gtTaX%<5Z%6@yD7+hNL+^0Kmm9Q5*6e# z=uF)ds@)jdXUXLJoLB*l#M=s3(hjapuQL6qkV)RQ5A(PC5X)3fP;_&!rkI1iN3UBj z03Q~8K9bL>}tX}q~%`}E-AEs76ybIxJbW0?8N(qTRC+lkAXftJ4C2N!dd zDIa+SN^V?Bfpi0Dr?1(k1o+cqQ0S*oO=qk#>p>{ z2kSk=+w%Inu)B60MBdMrb9kOcz;(RR)20=>1>L+R>c^ArUf$*;>e-nw;J0VMf1d&e z>JAGYP+iVK7v8tTg-RN>3(Ss)smg69=l zNpg#yL?!r*c{e4vlUKh4%GZ`auvsPei3JDA&E`$T6}<`ayr)2609TOxk9l2Qf2g1R zH3nFD|Cf22hS^lXkIZX*xoS^%m3I|b6b_bZu&m^DdHsL*SeBav!ea5+LVw>THHB7q zrqKTc-YvKm@I-wjc_w%x&m+lmiNP_^&$Ep$TWgn@Hz>cm;0gm$E|8@?ComMm-@n+o z`qzaiUb_89J}<49Z+Yn!c*^jSS}8(m%9`gEOyw<6UkJva!H7=BwAKlH@#=F{jfJ09 ztoAyN55nDoT3!-j>_Cr4+wS0sLPY;PznvzqA0b=xyc=cAN_fQ|KROU~WvofarSOm#4>x|F%HjQMkqlx8P^I+5W09@@J#R zwAjit@DF@ov8(cdfO>Usg_9sPs$82+VDqsZ@<*uzu7OtvqbC!%y#7c(r>oKlSC}_b zP2b}+tD3%RVN?go$FBpyXX@Z{-~o*-pQ=FR$TZ0A<#r2hun?ItYfwuPm>JZT^5t`; z=|H<_cH+gJwCe%hT*|r3FzrujbXDAzQ&y8{>h$%)sM|*R;}t4E*90 zyj#%5tA)PAK&Pgh3o_6bW}xTz(DxLy@J2Q%@Y5|gw480;Y>S@Ddx`}Vp2Y$){RH8!0jrB7)#+`)i`J(G)@J11G~nlYF_9ry^_yv5UNd~OX9i}U6bxwh;yu%sN-U6DApCwg z!2cy147kFV+w%G0mI^g(DRCxik>vPEipQ3jH@G52XMMS#_xGWz+yc>~$?%>6!BRJq zeLfh?r^Qc#v3wZrO3_nau8dT!G|b)^7~yvgw|O1JyC|ztg8fW{rr3is(3M%xY6k-i zK?;W;P1LH{%tWnvqsjphK0w42s(}ns6j>0rU=Ln0m1)ZXO9&xAOrwn*%6y0LM)$W4#Q9fp1Qsc-Y8JMjZ zn9ajrHd+|aDBN(vJq4ndf=D9V#Ow0>;S!7nf`FXwoEP5i#a?iPc9}9dqoYFz-F{zA&eBhgXN}!9D;$47W|28bOER&i_`m&$=)tVhU%a$mF&6+y9 z`$aW|wK3M1`0Z;l18J+!9vIiDYX?e;{Ii0|Q}6T6A=p<}9B*AXo~)3>6yw6NM0$xM z2#6#mMiQ444(@06hciAL6B8nd{n-x&`q|iC+E4%JU?E%|8c%m*i6E-(H6$9veXiFVBJYY;4WnGX&8ejLyRq!Z45f0p|-CPqC7JpN3oG2{0iap zC@}jFBJ7!vQD|Y@j}@tnyhaSE{f6^-Sr0YIcxhrVy`5>?95u$*$U2?kJ{>D_zb7+H z4ygLpw%+)+$RRF&koYPxr#V82o0s#+qeBn(kwm=Re%~ahWJg6|^76$s6FM64f);e2 ziksVV@?&f|8kaNCL`B{p)7BIeIOg;T%Kw~jI1ylza0)vC(Hx`S4@48^X_q0A|5P-; zH^i>%-S%D?*sbd>w4CIu&N*Mcgxh7QP^bNJyb&B8lCS4L2Nn#yE5q)LI$Q&_`*9rXn{?mD_9L9$h34 z`f>T~N4L_WL$cjWQt@^J!6BA&-IcrobK;@jWB%gwb3xhnnRc9sn=czF_a{#c;wfg< zW)6;ZdsA-9L$C7`nEH)xhLTlFOyYChn|PWud2M*m@WD#~2Nvy4$$iTKNSDCc97zKl zaMurB7H-8++anzaN7#*_d@k5Qp)l*NnOk+m-jF8D8!meyhKk5|^5&y2wgIb+j4$uU z!>v;Swd*^uQ-XET|4yk37pw-2^ml0#-;c@GBb?uhF>U7nhcB^Qq#i@=yHue1TQqU= zb{=7u{a|hCSi@O-G=X}tDrw+a{EggV$cu~Brza{<^u@*F_H{;e&Bc4R$BqlPM)#Df zimt8b#!t0zSuK+ccJ}Ec z(v{AqwhuC%Z&Lg9aWmG*G0OT-;)2|dWH&YdX4jU>SknID`3ZgUAG36Nv|gm z$)0wXYRGAD+3SBf#2ALL-@7#i!daGw{Kd8Kfl$q@8qQ)s!^=!VO+<3lyK&1GQ3*Vo`ag*&5=GZjZ3 zN8>AR>JvehjJK~})_o}~YkDJhR;hnR+@jo5IOsbqQ8ZeIF;iVNkc$Cv+uoMH*yAh4 zl%+U=6E( z@)TC!lBcj71OasKO#%7qFL>g+`8nC_?%O~4RA~y{lLQ6t0Y>*)s=lL1{Oon!Lim#? zSDg#G$sL5nrsskEW_3h$NOd~CThZH*Lhu?h7>rqf+~XS|==f#UglrnYcU8g}y}zU}9apU@;1fz6Ebb*ig=B4e-O zr>ig$_i|%fqOGR|B5YxHG_xIAr};hZEzuT+CL;NiIxb?z&qyow5T$+ESUNDv{{{G` z2|vQZ*M)xz0I^pMo^BkJb8h^1xE0G(aoBxu#_7ZT?>}90Asy;o#tRGnwcIW`^9B3NrBhd^Ea`3T57Gc&E zEiF+>(9FjPR?33M@azB@CpBP#~HJ8HoqnKI3iMfTwUeQ?WCfdhG z6LYsWB)|0u%)hN6xp-vCcOZ^%;p#g1*$wNKh{omo!_1Ta#>Ib{;n!2|1g04NN!o?a z6vO|T4e7LeH3k3GmF@TgdEc_41`;Z-7tX%qIbQzCmD#U6i=Fcb>|UL&p95uuTVtO@ zqb@EK|L-Lcm;G2=HE`Pp4G0g256QT%dF#LyR z{};Al{Wg_t*5;?*a*lw5jqgIXT-U)_>zzt^)yyXVUyGN+%IBcES#E-#9~`MKr}+iD z(xOm*=J%N5Un2Oi8Z)fbumZ9)GsI%Nay4Mq$WMtTD}I;XP}zE3&zqL8so-Hy`( z8U?Q5Kdi)m22}q48`nwvzM`94q8J7C@syFEBtR)fcAD?s*z?^>A2hw>+~6#~C!rf@ zvWrPw1wQcwxR~W6G_3V~J&!$$O~8Q{KtemdP5u0AH8sBIbl&#+JDNnZr9TJ%d^_Bp zdnM^OQ@Ne)63+g=qLm4PgxX@QGqd1(R0}w^E!u` zRjp;i_c5UnW|N0OuBn|)Y7^sb;uZ1Sb{hF3=qWS%XwJlEZ0gN}hk|dvXHW~n<9nLb z>MX7oI=2UtA8*|aT7UMDe6v|L5dNk(YzJkh24EMnkU$z~%FM3l6XLJQ`X)NBpEWqf zZBFF}R9T>cRO@hg7R^7cE`Kd9LO7whgL;a(MS4}AkGg?=OhcS5PLXn?mQ_8bDsW#h zay0YPtVjOHsXyJMm1QwFWbfToOaPS)>dfB;39Apyl`S2pH zV4^1@5fyAVTg2yV(?rXpLF|Kzjujx3Y3gmp$wZ}aHJ>Kz8l{AOcs8dQ$`*Z-)UPe7 z1Ek~_!Hw6O{uS3(senXpTQrxqZG<&93Ez(-3l9nnYY6*1m_qqzB6qf&i{5D_uGY8zal_8U7e;wn#FQBK6xkR zCl?cv>3l~&X*=Jd6JQECUM`N;nZa!~Ogn26<}RmdheNkEj-^LY(p+jIcMy?ulUG`7 zcm5C2YZi1+AZPCt{z6}e`(sBU~beaZ)o9Ffghw-*)!GY*K%z>726kb$C z+^9s%0b*CLa=JK+xuZmxJh^x&|KE@pKl|muF9U6aZd-rSAH6bI06piCresbdZzqL; zKdEZLzP4;-lvIO3)6G7on5XH+wo^+H*`lS?T+`)g-o{~z@!i`OyLXH+o~D^Y`Ola( zu6#8;M6wP_H*}=+!*oOMFHzek-Zpd*A-18VvSR>)?x##SpOG5vS<3Qz(^iCYR8Fd* zlNz0?hG-nW!htZ{piFoddl;6Oyd=XCk_aqIjN`hhpv>Dgc^{6=#^KkPAvKlFl^2K& zS@78N48z)g9(k2O)LS&Q+F$ya?Dl`uw*Q-^{Y5+^Y%^{D(7)F9a88Lb`1|5zB)#5m zIP)BMnBo)liF4Ijap{@IpUb|0EtYuq%xAs(@!6=v&Q)sr<<(iR#Lk78tF_> z2D~b16{eK4YkMRVj`U?#f6>-x7Hwq*bRvg#ji-6N$KT-!9&<1g{oe>ekW`8b_P-nz zq%pis*-vxAug-X*{z@TJFH0;IWSS4qvEg%4r=t8$$-yXztG^)*z)L=6E*?UEV71?} zBU@Y;8!f#ZqH6!(*9o}(COW)i)OsY-uhfY-JO7UM&S=~1J%6i~n*p!+DPIEI$BKVa zB{)>2+hU?i{AbgXNR3R1=Q0+S=#UmeyVK0**>smL*qLWqaBGox!cBJ@+H28*UQ@ys zM`xWC=dwhQljCm6(lF^+Y7;Ba-~-yxkdXeo5zy1}d|cZYWc(7p_ZuJ}(rT1X%K?wN z??&BHuDjambR9?~&siC1{kl#$?S$|sXH%mWuDu1g_~ey2Q`~4_#pMNhlmj8%RqZ3r zvOn19yeme4|LH+SpVXZx`}QM`KBF=2SxH4tJ6GLlvNR2XathT0v&>HjQ>Ufo-g3^_ zWcw#0tR0_UGAXH{oeP4n`a=siFCRo<6+lW!%}o6{Qazb&9!>14h}57xE?A#<%`mQR&v8-<>RmpF*w>S_nxDcNu|nnDtCn4$(~`$C-trIEZWKi zJem5RZtI^*Y19BXJ5&SAEUc(~!ddp;qybb7p?F)0EL8z)TdHDgRTDf$MNZs;TzNi8 zG$NuzQvN&F>B^A;x6ZfG+AT4R~hH;yjDw_c)VbpG-xwuEqDTx#g zGJL-fbkWsq@+KFGs4LjuW94x)HH_JQ74^fqtFp(PIj#kL(J`oj+D4*eip?B6NjY~z z59=Sbbh z#XykFUa?w?=y- z@x_u>}5Xu zLZdlm;n7tgmaz+nbBa95O5M+r4*1DMh7C=PN%AV$*BkghxGa938GoIwTQV#+X(QMW z?CJ5{Z40CB^|qhSs74vw1%Arf+8Bsl_>ek%&<(7bQgd-hMU2xRmyXeEd2B4N>}#05 zH<;S~(W*gK8jfw-mK1pdoFB%T8IO1x-?_-O z&V6FS4CGqYBQV^oUdb=iNEJ204H-BNI!^!gMZ@VVdjJB}t!%G)4+l;I8rm~K`R@|+ zqhUci*t$1|C^R{cNoI1eddy2`hlBV{gNE1OqF1TiHx`vp*AMeWUbDH{phW7;rtL;V zKNn?GNgg~}JhQ5bM@h6wVxCOM*Dflj2o!_+fqZo@utx36ek!NowPC_Wo!w#$6V!;r zIbfIkoSjvd(4P(!o?LsIwmh9>kDHd9!h)l?;AYMNa*}663kL~IowlI|pGA*x&fO4} z?;!q~>y)QZg%i~Gf2+QC=C)D1CkL#(#KNlS?yRrWO=mmagnk(im4_wo#3yxdM4$x( z(ug-07BqT_;(~`4NsPAJ7auMoqIHKW$(0EPvx^$HPIC#ty2o& zyooe+6K4#o83@@F$d6yl{~!JRzPWl#`Flrh<;kv&g0yNPE$!pbUEBUa4H_pJ#Gy17 z%_>!SpBy}vn)nI>@)3$*prC>R9%SuUROXynwvDO+Q9nPe+n>@cwNIM)Mr&y;FPo+m ztNErB+sWOZ&5LO{cdqGJCFZG0p+;A!Mj1-O+F?Y16G!_!x9teA=$^1>8w#7^z^j9Z zqD`f*!qkI@khJtwLQRVd?r9=SSh_q=?TcC$SIjlrfjW`ao+XGOcx4}lPp$8Uk2f<@ zHzeUBKvx*Gjxxdl`@il}LH8ZxD(?aol9ASN?6a{c>~8aB@*S0zpJ$z}N5y7Z@UQ13 zXf$UHH76By%&>QbAhl-n;Stx^Vz{MdJZGQjq-xDigJa_#48_LzpXGGup+H=B1nRy5 zdl^VW?MX$Q-9dMp$)L8c1DCT;MUztk!J5k0sG$vsdi)=+4FI4+fOvN8>3o@?@tUtd zRJ3(N1i!IRBE`hA1Z;;f!LrvogQADNGTr@w#>;53XmzADH{u4?Y7?ZC{kPWQP))_E zE9iOLpTiLKMr5cj5+4YF=!(b5>|W4=zsFr0tzGM^=;Mn7@hcpT+d&9!$#)FgMW95c z+jvqmTScKnMLd`|GjM9_zPJhP^$7vH_HFlF&9^9;=9Y5UXKPzaN*yOFbey#kkzcp6WnNBEx67$r;BgA+snhW)^oCT%@65x@{Ap-2R^(W>}; z)ALK%4dV=nrM_?$YhbPOAqrj_d^(t+kXEt#8p}ZDX~8iK{C? z4YuKK7-*hsJPmd~b*&D&e%ZPma?Vkh)FcNZ=; zjX%sAN`V~jxXD+fuDOXW0 zI{_^5-o{A$joer_aEDWwia3u5s@M>nEW0_KdT*t6d3dZs#}hnu;H>mEN=)6 zmv6z9`l{o8#;nLCJ4lxa2^VY!k#RhIH>Wc@M-Co~i|-EBKUm4(&3oR)c5T&%^S3bE zgBwXRg^Y0a*V)4NtWD};XQa4oVBtTjaLu1t{Bn8xJ~0a;=f;1?Fh%DNtMTJEex4d1 zJdYaB+bv0&VYoM>Yzp*;CSYBw4s+-iQG^IoWbyohzRy#HN)_R2yCq2%fs@%~cbuMT zf;kJmfF?*_37uulL!xB=)Y@ElHaGQs^&F)Bme)e*yGwM30q4|63bA5B;~0 z*n42NBx(9_ZeF%>W~%;Qng0dQKWaGr$L>Z9_G~gK|I{(l!z$eyTEAfOGj0Dsh9M2Sv-sH_%g*^Ru)ctnmD`PLWEI2WHYtSJBe;I1|OSw%US#NPS4C9y?eCA{hanw2|NZeg#2MetTy z==WduTZl#Gs?`W{b0SV>zxSV)d;w)!Icr$i)~x$HW&0M1y{mRhV#~&qvMOxbX&(w? z%3w#}U;O76P>|lUhZSVU+RsyvUy<1R<8DbZ1!Sr=jyM$>Mnr&O5`c~P6 zr}<50n`-UFUqA_8K5JMB$L&V$XR+afB=(-|*|kzKC2ZWSg!63)SIRv=vh0DzVI|x? z?+Ykl{_qkWxf{8kRl+|Z;d}3Qe|iZSi3(W_QI4Zi*M|(s*tH;IkK= z|HeXM9YSVSZN2t~U5ox%we@onduw(}Vr$E8?Xsc#2i8>a`&Md6<6Lt)AF91BJ}KP= zl#UySOf5KPp(37L7DSM-Q^M_YzJLO6MJmlI@Q3$(o&w)VVy|zvB$=)%Ejv@(@={gLfnHvl{Yg5_>!D-L)z*<(hAYphGA~)(|xAizvu3 z!wYiOZd83%L5fw7!*)xODTpkx;ky+lYfoZ!S%ab<=)l*JayOd?gvcgoUyic@T{!G>AKb)bq{6kgO zfx`jTpl1Ky)_9{PS z8!`8q3srpVSA(7SC5KpwR}&w0lU1mN<;V5ui^O&}R7iPlFNaykal-FZ8}kYOhM03w zn?6zZxf%X-&FI^2Aql$nqn-37MhhWP_dJeoJv}|Ku-yG1>SCq3wC8b35OfY-xEep) z?kXKE^L}=esL}?(g#Pq?)A0Qbj8d-o1!90UVYSYc61$Ey;)W33=Fv1ZE*Pi!o=ThD zH5+N@OMIQr7rV3=+j=(=rX1Lq!T%lyJLC6BtHEVPF#33e%LaDjrh@$X)n*IFj_Dos3@|%*4dk(nGVeV-1s4t)L@sK$Ms|GfA+pAuacQ2tF zy7zgBK6`t2VrxUrCrZCEeZnUgg>_ZTCknN-F`bh>7<)IPyw2~9wiZ=s*I9ez*a-#t zv{{aMxw(;EAMY<3`GEF&2B#~A4+M&wK~q=GRl3}oyhfi=7X!7|mH+@BpjsY_q&7>Z^A0a;HltxrNQ`m3~_|r@LM2`?nV4EIJFtx9Ajp zl-^-~?ViwG;A$?LXO!1EGL|KFbLzH0?$VBOV^bwA@|sS9PZKk_@F|B1@oLVY@(&N^ zpIl`U8YmMJ25&j=VZjT%HxAHrgKybyH~JHkmuDI1-DHm$`Ss2Xc4`_~6y2nD;3m73 zJk6=msLna?VUCWjq&Cg|ygl+`ExN+3MY66@C52l{M{>h%7dOYTIrCqSsAe#rz^s3R z@9`QJZE$P=`ddV8 z>SXI>vhz!p{hVz`_48-;QHm86Ewq=0w-3I-bLoQ`s>~VP*~1Qb`3}z+%Y26gGNOI=_a_-KDzRB2RId=zhvEvw8s|)O+$+4~AV1GO^;mvUV+b22qmyT=b+S*ndbnY+V zurTg3@s^3xOgw7JXC@vrTaf+CIGqDn4HsB%f0iPZC@>yTaiP)tiiqDz4~DwU&{u`1B7k+;-8u` z^2vg;KCXJ*B278W7 zcP4em_@$+UKJ9e%f-sVpr%kuPeRXK{@P(dtph%aeluf~8W3IOVWxbhGnGtK|l{zbQ zlt$f3qjMN@YW3&`WHh0D+>|{e=Y1J9et~?!6csw59iy!s{_gpnX^G2S>y?7tLg0(y z1nBrP^+3R^6B^C1iv%H2Lo>ec%#B`X&Y>%`N&!u%V5+S#W6c@1R*jS~YcJeK=*l1w zRtwqJTx5)DExGCtB7ctat%56!R?7+}8@i0`LyizO>R*fg&38(=Dwcr98v#~`yMCpS zfeLn%iq_`quQO6hSreoiq7Av;t*2+v^DqN+R?54Fr~GOvCDrtTO+7C=^)<4XNS00A z#}2Jm@TqxGa*FN;xXwH?L+!OKgfD$ijh{M5TQ}qM;7rVE>*8x9BCGks?yc>}2eH!l z8p*XNd@k4j1D5cg$>e9_X_`>}&$^4uW3GJ^+sEoLCa}dm3hm<#1QrrB*+&i!cj+z2 zKlw`=&HtT9GWknyGXKN;XOhGl#RU~DNb1!plegqOV@I}CwUca~E0 z@*|m_Zo5f@dss%rijoZ%$*#x1x-*K5%N%#o|3llm07g|^3;&bM3=EKP21qcz>exmb z3~Dr56Gt=yGvo|RFsMjSgtSq_`he;T#0m*?5@0wCV5?Spt%RtPH2_gnkSOa`>~yZ8UyKbkpb@3Wt4uf6u#YpuO@2;1>8Tp)|{oDy|m zNqkZc_hW=UwcH$SO>Q=Sb3YT#=;Pvtn$~2%_(Sh>hUnlFS(9G-+?zb~%f8HmrCFPnlg_1<5BIfM(4o3)0$dM{H9mBuB=fz9FxF<7ROu8ID!wW_IC@(h^AqpFa?7VI+j@LS z9lg%%*Qk9ETL8UJTRMSM1o?JmySDTKLh3pN@T9FS`h|o0^Ogu*u3RFvX^~;#FoLe^ zVE>ymTd{5naW!weuyc$MvlYeNd^O*y6;j3+Jwq0v?+a0P^tP{ZBJ-)~BuOW_LXL-O zm&uXN&UvY=TZ~eKp6xaNgCY_Ie#1`Lx20lVHCt7|RxNsR%c5HaA%i&)%*0w$k>z*< zk@Fq6>UOx7VIUb-*W32Ob<&{@3@!I#)&3KZ(72rA)}LxCf38}XDKbUR`b);!qh0Ec z<=`XnOKirL`EqfuQo2#U+wy)izKTBibJV%0wx13P;lFW&-4-6m%gel^fpSE1%lF9Q zm*vmn8|^igq`7`>WLRk#p0z0Gax)W*{~gk7W2Fd0lnG`F;pm2pJyFdOgLYAJ$u1Ix z;wvr2UxfhdBXrE%_xlv%zog#?O_kfJMx4n(MyqOz_rF7O{plOIk}A3KF0~00sZNLA z`vYyI-8#(PQY@1}t{azGB8!pC9@(_Xj0zdnEE6V0W}PfjbJa67E5QL)K=G{ixLmmk zZzHo>c$*id@m##AiqvvIBz>!x-0w356T`(H)~Rxwg+(|xcbC7G4TXij(G5aZbA)jo&q0W3OX{H#LPR76 zzYNn>&Q6n!Iz<++ZVr$TvQVEU3lfzf9&AD^N*`oFgw)U`z4c6rjGY;Uzr87j2p?nj&b3CFz1T)kB+Rv-qnS zkzPN6SeibqI)XkeK8ijK{RVv!gth3?*XDbq4mOBY==Uqx2U^Ua%*b96h3p;XIibVJ zXMr@+^ajkZt5S zvT}TbUg~jYGhhhe)<6+stGuJzgVV-uqi-@S|BLi(2MsrKkQXU~z5klNN!1p8dqQ$; zyZ`817JUv^l{%1ALlPd z`Mg~Vi__;P;)RCkMcuKGhFsn<$0K0DEMsS5vc z(SN5xFR6P5Nx3X}cY|C?M9wps~O^7Cz1+aVfSG$EbVl z3V)}fotF)=+i;rKmZ(Ts3`9oI()%(ky>~pM@Kj6VfH+#z5T=r)$mMv2OET%gqyw!g z(`c2ZfBp2!aLz5a;9swvY530|lnwtYgq4juLr&xx8<-;k-XExX;#GVy2UC;b98HWe z$p_Uuq}X*ftNdE$u~x!bHn!kjvH51;a54~Y`dp7cE<0B}{&WeC=!GEOZz(zyukQ9m zHxH(OKT&`+IDaIM9#@qe!7Hlj(hOs|e@D|(>*&LbOkvZl!lXg6W~}aq#}UP4_5(+k z2fqxjytytI{g^h7W4S=8%-kXH8`S}2{*vm$`)8&5@SgwM`=Brrek)VoSorhYvCHt0 z7_Z8)#HmpcxB`)TGNt{}DlOHCZ|%arg9qE&#zJ3we9m7_4>hy_R?(W7r~Xjb0gT=6 zR7x}^Sc{X|_%a;?BU(mUXibe3R5cU4&bFBGB0w_?fQ{IINRSokqT5MEMP z(@7H~cyIB861{kn@Sfr*-(pQO{He>jh0<88a7}TZNJhiQg$xe4?&c_~NI8VRwyxUK zlikEACYi%^&Hv+RvRg#Jj&F44n-EZ^2A?H0KrmnU#kcpqzg?x>kO{7|=X*o;9l?fRqp>^sfjxX|lvDNv@}tQS{^4xsmx@if z_`RC8w3avSKxN;on2h{0bA(V9E~1I>Ok7N>?nE#f#~e=f+)D-PAmfst+9v5vtl;54 zzb!IQd=2kOoZws3m)ks4-EkR;7Y^rZ!nIyjy%3kIp5GNF!66c?gNKt+K1t@1V4WmD z$L#G2XI8QoeSCn=*so+((oU2Vwf@SRxVct5XmdW_7+*W7K|D?^5mkN7 zbzcdlhU`rh__$d!KwGh$V5$jP%LW2|W2J&_e1ozHGPbOH?(yH=?mO5Mh&zV)+WUr} z*={#a^4r^d*R{Ea+H9p=>tf56Ej!p_-`)O&)7Z#I`!3)0Z5P-#Uf*?rzZAd5JN;q` z;y1*C>qiWd`G@oAht(vaUO5d_cSAL%64rItbfSb~vuLYtJne9j>vq@3IW4iW(0Ph^ zg~CL0rj*hTjYVGq4QKK><);=9tW1gl2^;Wb(yhvy&{0kRC{GDagyN?Rqio-X)daHm z4c(Zer(xA_!O*eB=ylP<_627X*9!v3P~*-IrwFNlqYpvdH2+Ys(dp8v#l^`d^IYZo z6Zz;o21O4$wN|mm$w2r|(v<(7A#4L-%yE^6lQq|Ms?l!P4v>F73hvH6o(*gU$R3PW zo)>VMg{01c`jjzZVFud_5bc-v5;8DNM9P=T8)O=5OS%bVfU=W73Md(5Gujna1>yxD-4`I;*7hEdZny8ct%7v^ z(stiL(`V=U@{QS8x3M4VtcjF`c_t7rODhg1L-8eo+W_U)CH-@27+<0r9CRodL42|D zeW-KRehMc0m!!s76QTpjHwy;{Yzgn+b(s&#w#=;T!*=ZPoP?w0^`=oG%C4Y$+S-oT zl7CQQdb*22;HtxN_3RE)jLk$OE>Kqf;j|4Mkj>eMez?B|_r`LFKKdcR{KV2XHVnc% z#q9kVeP|eJ`G6zBXS|61(tMR@rFp|E5kB8GufIl$^|y!d&aj^_udK!=iPmk$GeY~f zo11wm9c#VioPsson1rj47iIaY6XmI{{6%=TE-0;uS3COkk;Wt!J3EJcYjUG6rhkPm z4ga#@5;A*tH@$0&=R)=upLR+8cxXcPwuV>k7Vs;d8#OuHjLx;|OOKd;ig*ewJtucw zKAqyeV(6wLuOm{))43f2Nw4St{^%VBNp5g?J{NFM4>ew(1En5-6aEuUwc8Yd#tu-eIexL}GY6l`1Tn0JqDV?jls8W4pD5-z zM-YoaIE&JeUn)@`%;6eoCb|;=ig?3`c5qQW3Yk=j6c+fsvs~KBx1lDY9A85g~P7u9i$MN=I|)@u%L&T#~flc4>fER(lIv}#}&-=y>-Fs+v{}u!H~VzU%D|6 z#~pggKN=Zk^sy{_X?ZgY#>abcvfnr+MSqjDpdc-o)amEpDky zTjjHEyp-IPxB-&}aW8XqwAsztv?Y9=QJq&=eNN=eWOYS|f|N~UH497~n>#Ro1Cp>~G)!H&Gm8AC_nKW4~_Yr)D=D#(s{M(v-c~;Z^dX^y2omM-y zn=jxz4MrtP`1T2N!J__nsHsY=qfZnsq9wveH_E8ZWz_0sX6?At{pw}HSsAbTQoP#1 z5B?umwQX4o=9Ay0&tH@Y$Ynh$!)QqDhphdbxHf*(c*PubEP8@VJ(vl2`qbz zb{pNet%^TS=eQEm@?pb+($v_7$E?RX>tVHD>}mR&j-$D=;+N)jE|HHaGyKH0>>Uy_ zqF?4j^5d7%gdOG-iNP7zSD4SwyWrV3sio&dek9E&9>AgOh5Gxa%FWf529eBVr;jb@D*0yWXJzq>ZMYX$Jln;q)fyLX z3S{XFYS3q`-oPlH*_~^9jK6LCeav4Dal`qm;BPg5%KmtYXxrM@U0`M)%02XKZ@dYj zh?zla8DKINOO*%)oaz?vz5;Ejsn~$RhfhqQOdTp}g);Dw--nhM&dK~@3ve0__SLn@ z@jf3Vtc}9zr{_E%N5okwb%T}q94mDljOP@UkR3T`PUjtk#B`OBDU?5&h@M_L&c`y| z4d)e-+?`*}Lsf_VOJYV@1xR{Pt6gSQEnaBJc?PkDvrf{v^Q9fBoD(D_l~dZAl@sQZ zEZ3+k&Qq-{b#Tm6RZPA(qmtCq>A-l2N|kZ~?{r{BrUS};}4dhGqU#5PoywQfOE`f zcABYzER96!!;Xuys{h<3>ztM2Z+ys-sQl-L!eXtmh?J;FOLwQ}tF|_089w2#jY7Hd z>C-|1D(@GX)HFqGaq9(J<4?*QL}cNIty*UTUupFS)jk?*2Bj`zq>|8EpUoc-mBf%? zp3AEWThJwzu~uP9OS{t?p_*jDQw}RhsYnP%|9~f3nb}gYWv+8o2X=8kdWZSM-){bf zyvseROb7W3WWA^3{yWcAWMMeSdu8$+?* ztY)HOsknFz&&p|@1yi2YfmxP3CoIcT=lDsn?#^vhgr)$_dR81aOz`$Cw>u|}w(5qGhXYlE>0 zU*(|4b$UZhLB@F`a!K8&(Gjuvsmxx)5ftSBA(TVmy$#<_m)-X_+HZ??@<6Z80D zgA%tLkr}w!5}et`r7G^pt3Ym=+TX9sDjUCD_B!LvwCr`pog#Y`N6cJ~U`tu*v}sHJ zMag(xmNQHq8U1JUuaj)X{FQ%L2SRHtvS#{?xa>!Q4Fh!JD!51?4FO2Q1zl+d?Egtv z7LUu8D~k&|>saVZ`1^;GlNv(a#tCtUR~9ACA+@T#nQAKj2Sy6@aDMnfF0$i1p;C%r zzJPpLT<29Lgd~G={diep%ySFQw%&_)G=;-lIw&HX*~&$|@|aj9TZvlXOzUNiuK^fB z7p#pR_9%oYBz#iVem-c-;4Zu!=GA`|&iXUCr}jf}iy7TC7c;)}Ej0ZMoA8(TUo>v5 zP*YedNra5u%u{W}bqq7ujn=>)zfukbp0bOnp|0Z4)EA6;ojB+@Nupy-eIf z&PM*(Fg7pRH*kKfv0{lk0im<+NbbW)ZQ@+6HA&zSm%Y|?T{0j1hQG4W7d7qSWBAQs zVs7u| zxhwCwU8x!dTQ%U&m$HYe-#k@=o02=^>N<7B5%;&$aQ7Z1MjlC*57F5YzT|(u{A5Qk z+M)ZrS9r9QxYl5u;c^pUmx^X~%v$|kPp<8QtiKb$uVeTd#ox!oBQkKO51cA0To!8h zqpUyH9bCS6;7b5FzZw?X;)4s1dlz($yo7Jd29tFtK`?sQ6{$pBx{D!3a%E2CtHob- zGca-eptz`BB6Dw@FnF>RNjnLb69I;?myG7gs!Z6@##f_<2hM*n6hHBd0v2AQAhPTx*!G#@Vf8WC|Xd+maC+rC+LG?_Qw@EI$fu23axOYZZIb2ZoW zgoPbVm4yzIX<#hkVP2J0oT9f!Hr3b}?Qw>OicjM~%I)@O%30@;0^)^}-%*fQUqny~ zu;Q*bRu+6S_#)7th1#;O86IPo800LHG^{0_=m!JB-xdARNckBoN~Xg2&5ndyof1e4 zQr7Q@-0}lVm~-#voJhR-V4yrHOT&^D3Yld5J|Q%p`p=^Npuu_L7i2%&G{$fA$>D{@ z^(CY;AOEBDQlt`E>nbARW3Lgb-bK6$Rqz}=C~*Hw#OKXx-m|nxqqe#^J~-Osmg`#YJm@+VZ!+P_EF%ama~ zc{MyFgW`hOw+ps1cNR$xIJ;77emPubjvy?Pl!$d{G?U~UVij4fe%(hxZ=&2gr!G|> zYMsc~RR$R-HE9IQ4Ey=rLPZx8*F8%|lM1N>S8kD2XUA@Z3J#+$aUG*%<={lPc{@8u z8C6z<-bEEQZPkYq&k(7hS;~+zNN1dTCS^bd&ya>09HV9Z*IG78%MRs4ib&D>Q)m3v zoUl{f+9$OhF5*TpnE>WEq@5`#mIJKoyz*=L)ohxMXX5XIN7x1=g zE2@aZ46P?dyCq_!T%AEg;x-AbIyn`(Q9|(%snE=`+XCK=3*7unZQ7*GtoivZ!2V5$v6MK<`?A)$i$K-+o3&OvfU4LLj1Sg|7O18w=rO)m z!ZN(BwVp>Jw5YPk!u8%D0v#lNf=!|=_i$#Da`&x1%oa`lUf}Oz{xqSVf(;W~>YQcJSe(L#Jn#X#04K-e z5<_`)7#o$<0D2;yF~NbW=%(9GxG_u$S*iMTmTq4?T<>gak>tLI|I6 zk03>?0Zw`4kiNjF7?U&f(*SV{p`E1+bW0wS6%w5 zPn66@BTQFK!xe7TEAEOJJr?fjOAtfYQtTj3%R8JLXRP>D_+P>UAhTm67c>j(J((^L z)r8pisHo;?--uc`{>Z4a+x*^b3pKyDLolYjd4#rhV`3;lL6~-hFdGB#ypEQ(#6Z9I zwa9?;H%4+1WlCKs_^m#ZmdW1%tZPr;`7X~vJY}4}oqqVHaxodM(<$d3u{BVewLi+n zD`fnok4F%;7h4su>sF9!GM)$~xT1Y|+R_2+orHHTC}3L|ACo^s7^D?T>ke`o;?&oJ z_MORnzUWUKuE;UMX)arYvX+-=%c|He^>7Ny(tvO4kGqDrps`4-Bb0KyOMTKMxhUIH zpTrYI>a#XIbe3H1F>RS_!Fo>lza&y6*-{mUw#(xGD!158eO?tI`?;QX80b&Op_tzh zG}>8J@}C^ey2H-!ShA(Kdn2_eTq5&fF+X^_VcIh%EKA+~((X_sV;h=oUVKKoue8HD z0S4Io!-Tc(kg}hVO0fng;2smVb3bPBv}~gm{e#3K&K|~@zv-c2I!>v!CdLK46uA7~ z7nmEKD}_1a?hj|zFuU!RdR0hCrjRa%)E(^uuOCvytXR5&F;fFZ+ow-pIZXkEm;67_ zp2YD-eUOH(uo~Jv?^@P2kdS@M4YJkcrzj7m%jo0P37+i z{mF2-_r^&Q0!mY^i!Ru5`=p^$~#@-@{OCX!XpFkR=y9 zz+O-K@86|ZOHp7W(4N;7j7@X-VrM0uwOXzCJz4vO9YBepr1^)CD>53a{_%5OVsvdf z_ZGngYzd>_n&vUTFO4&{N%bEqF(jWkRJ$cSay8%G=D=_HUX_xhOD&`<%IITA|H`kk z%A*tM!{8};Q>4z9+)%t8arYY48t4AaFo`1W4xEQzNmn*~(Y^tek+|L<+tsQvol8+e z_KiM6mm7w-1SBVXCY)ZFa~D5^6^;eoM~-_XZ_5ISgwJq>k>Od9H}NKsqY)J64zVnn zKOHQR;=sp=;pBRgfS~Vop34Fs!w3f6N6CInu(ZoMV42n@V&87dGB@w-`5hfV01%lc ztxRpigZA1AV}hvu&z44>E{zzouf>Iv?gO;WnIC(+I2G zGgNaD(h|LNtF%O0o7;aH_0vR&;rx1_mHJ6%A8%4B{rQ;JWr6*?ZF*6D=CYjwIOT)nw+dR5(w`nF|5b7}7{X}JpztW^ zTCx0`B>g*1)T+DS_kT1<1VuGT^W;Lz3YP+&Pqooom3CcBxa1S|HYt{Du@V(FaWC?W z!cX!fW8rtnugWsJ*muh#Tk>QbN?`4^E>IJPam>)S8L z{!YysMSf-8Nm1~1h|_C$j^kVj5XEK;mqH9QreH?P=3P7JKB*y8Eicy#EU@2k$>v2$ zu>V-@(Wp63gwPM1B=~)=Iw*_~T5vdRrpo-wAa&8E6jEEq7xe~IWv_wA6);pOOi}1u z+lVabTv<5ESTDjwhI8{SFvZWQqbHru@+u0Ab7ZWSq~q5*n|VzPGo0tqLX~u_vy4}C z7w3qiy)lKkN8_uI5V<1vjKWWu2XgVY;ru&t7CoMS`yN%2E@v$2sripYOU)s$=ziWQ zdQz}KW@lbIXky8WkHn9}cTruPV`Kwk6q*#hyDRR>T%>pMW*f_6Va5z?H!^-0?@d5oM;{4b5{NQ_(a5J)83 zYGO?;ynYyq?^KS|t$Hy|F=AST*IqG-NsYG zkD=o*CgmA>eX&WNXy4V^s;Q|jFC$Mf_NpkqL^U+Il%ZC*w`nQGbV)$-zroE#Sf!@FNN3)V&a{zG-dkUnt4wy7 zr%i*+`SNOQ>0jZ7dSoN#OKC@L;Ii@96^@|yOKpYdaDB$>Vs&XOSwo=#TtzhG-JLOH zadc61xLR*;K{nZJW5>PnLDKmR$L&U~BjD|5I@#~-Y(62~D9l}x?c-yPnCO5>I5t+m zt941#`gEU?9Y)@-eD2 zMbt^eG9pCpqDEi~$(SBo1PQoAv6f+^7x1R^4hOkgE3UWmFK2pgmDv#4zj-#-&<=n@Bpdw)O24WXD z){F4QyyDJOJLIG$+O^`j#x^mTMZ$4F3v7*HVAlvuTO}0*jRNkFss%V!Fy?Ssg%naq z$Pg6OTBIrD4aFUAN-^u?$FBvY(0}8@O`avdcWg2$p;N^_OM^G)7d5w(B#VwG5` zx`KG(3BoNzn7Oo!qXPm#IZD4vTEiTv6YDm@dkKq69-?X`EI^aquo|}%cM}M)dREC4 zuTTz*t5X0{?w!&AYRI#vS1)W&rH>(FbeBSl)5x0Ar#A#- zjbHgWpM&wdrCidwRKo8OPIkq(>TsbeNE&sku#8{G=++xf0*O}sjgT*T!Tm&irmaL= zoko@khND{uK>_>E$|9|0h5BTzd>CC1N=Rixlb6jD_LXQ$knpA zr}|U~5A2)(syt~hV!}c%A|$5W7p%gL*CFGW9(PW$Xe(EfDdBwf8d52*O(7IU6>8B| z&YT1le~h*WZYzTm*}Hd3z6F1HgNVk_B2C4X!@4sLmt^dSS@NI}*Hz)AR_BIai$=(N zj|X6$pdCBS4=xqp^{P+CI8TbJdXZR$>ZsTa#HQ%XPBE2#gm5{%-mAABP*ha&_k~X= zPu8^lL*9nVTTqf$aqeVPjm#^yAkP`e<_wKx9jrhs+xEJ z`P@s~|6TQ!&ud#)6pR-v0Uz`RjCC$?B-@e>gZKp>gWDFhcnNu}hAlo(XdV~7~zkmgy;Yrad@<0t%DT3^0LJa1u)QcEPS<$Hnz z#u30ue;o;YihJ`J+aYs8J`g;wxEt*Z`(#xaXD@`W^5{(Jico2rSht{P*hnj%(_?oO zcacY;-oY1GesL-sShUX)9cm0iSahdxM&WHj=I~{BbtOcVh8!S=`1Y zecGyjP;}5}3zoKv#SzLqT(_yHT{W`xE8Tr@ykNPGiBFC3hTi@`ZcXXiEW?cc?Xy-- zZ19ix3i}T99ABX?c61`ebnHN07YioaIJJh=NW08;aOM#eMfPf&C0jJaS zc5pC$mBXN~0b6n_CjBc!V}n$YeLMyPAVb;Mm}6A1A#bUGpHl}V;EL26YCs?(#|};sFb@!3zl2s^@=rKFEU<};wQxV z&vVI8A+-xOgoexf$?Ft>luV%M?IO(MT3*KvAO*nWEc3tlJeH{x8ZJox?-DSfLc>#| zc0?kp25ZdbsxjN!T*>OiaNS!|`g~1k2g5}JR2vyIYi?y%lP-brdL;u>Yr_=sCbX3g zG2MdkbKbJ}Kf{mUp&{>ANoI|Es6h2&V3q~dZW$7EwOLSQuW3z!{|i*D^~paR{D&9` z9Kro*j-5eB19SnHin6Rf)<2x42nqT|JU9*~r*Qm;Z<17C6}h{{ySKUQXgE<3Xl)Uo z{)((jfTueR9uO?=3_Xb^YuHe{hEfyQ8Q%w>%G;F5A1mPOBQ^*|d*YvpkrVXhygwd= z0g9|24Z@N&$~Nvjz2chf#1y6xpTULhuFIU z>#8blHs}R1b-j!UB|*{r+O+(As6-Q?=oh$Rd0C-)RfS}hG-zAS=+KtSW)^zNuaq1# z^eQP?iX9|BRW8!{Qpin3<67~s~^Ku#@aORuF2T5$+i$?2q5Ff$;A zPzRx1+EO{LCb@XMfLE<#2ko8S#mC*+QrTUQ86r2m1JHJw-yf7KTGSc6^aYvtW^<%O z__Z0kW(Bk}U(=#}Kuo;O6~06twWU1*%c*1LqWhwpt^Bo_BZiVi-8oXcF5DoC`hRqD z;8!6*2}r=Ua}j-*+0i-90k2|P_bxw)X9+X`_+ z$!<)~`9xGH+-5)#oST2j=nKk-iB_^tJ+yG}Ix%w(DNb=~q| zm-=vT@!e8LJXCy^w)VuGI9Cx*<_s&w8zQgjTR zqR4)cuf&8#dIH9Cyj(U?RLNWCL*Gdz=h`<4uW@Gkya7I?%*7%1$k6p&je3KBFso+Ivm$xY(#DEX1SlfS&E$hJqqa>P4ESY_ito4 z>x4+Y$k$!-onl0T^KY52^0~ZW0q;weeo4qi;Vk;Tc5@R$M`&T zk;EK_wsIf?3Dl?I8Uw+gfXw%-+8W7l1hl|mYXr*oSVyVN_cwPxJK}+>^kx>1t_0*WJ2ki$qx>Ny}iY)-4U8t^y*YA@3 z>rd4DO3jzXe#p!4Gu` zMc}(1`1bW30pDYv68OH?-{XEL^us6PHNZOurvV38N*I8>Ps#xNLk+;+vj)KbReAsd z@o@1k%xme5I8+n_7l(?1@S(~%b>VqF<8y!IoZmFhsngvE)ueCN zcU6S!Th^QO*UVEr%fgt~F}yTSJ+epD>n)7gjPJ|}@BHGXKhoGz)z||#^Zu%Qk7{!2 z1P?f)He6;~fofL0)*^#%d|o-HL|gHQzn+_sElmz6b-_&gU}@L;;=?N zQ*?|hLg++ZR3=ZW1gUhcipbaWJsMpmxW}3DjY3pnII0Kpp0hI5~kjOs)?& zu1eynB(7HCY9+2-;uL8+ZZ2~xG>n5n)p-lXtb0%mb_>4(k&7$*m0_0$UfUHJ82hm& z9a9`}#BOjE`xrx~t_11db=pS{-e442a~Rd+=^;a+dChp@cB1JR+HW&l05S ze(%MerY?WwlX7uoWI*guc`_1~uhT}qw@+J%AFiZvv5UbGA&3a|VC5JMk+)abH^x@U zIL4OR_%#M1aZ{@S8o`Up%!xG1a@!uO7XMBqGt;h`vjl%x^wFDt`|s^GjG5cp-Lnq1 zCzFw!4!wPgyXP*bmSx|FGO1Fu?`0>Jxrz)+z!NYv&4RtNqD6`T^ z4t5m&*!q5@eE$*OJDpEpb}7tH)!E7A+ssD>^45}!Tx9->H<3}ISHhnXdZ8~>Gs8t8 zW3%$oj^tlA>>(rnz$tKy$=ylkOOM-a3Pzazx5=n6VZ>r7%fxg&rP|B~`CXl|`%!+o z%Bq$hGMsmkzqPG7>zFh?oREh*7x2M6j~*(>c%ox+rO}b|%!%~O{0I=4Z@S=(PWeC_ zOVN$@X>0kOs^vS)9I867_xRVN@8&4Ki$+J{w^k#*CyiMBye`7YI!`E8RfMrMwpT86 z4|1{(HXaAI3=t$$t1RsMtKHT-5bNHL=mE#h(FV*9z@M$5_k!tzxj{jw5?0&E!gq^v z(He_bOIBDBKms-66;YO~;jB~tr(b4&!ulqa3%O}#r%4vxK((z&jBb*8P>c~`!9vhLT5ceqtAFv&bVXi>oorZAmA`jjF3T)3=%{!TkBax z(;4@aJ(}@q`IcniNhi}9V_ULtC@;yvA{FdN8Mz9@{<&Q_gf)PGT-d9`i@fwd6Zj^Aq zLpG>tw?{AMy*%L7%iDDr9r;J;-y=}oUzLuvH_&%V6TlQ*Ke&tFNB0qAZ z@-@2QI7OB{QI;p1IzH$M%G-K%?JxOHP*CKfvn_i5SWe=gz)Q+)u<{Nx*FuC6$C|>& zKoWPosfu)*jh(f5=6g2VV>zlq$pc{@0}4Ud@3hKGmvtVE=Ge4k8g33SRbZfbF0qLZ zv+|qC_aSTFAvzVA8aog+kA>#9dR_Bu}1%U#y_n#^-2zUjEPkgXkyna~Lp;lRo z#uSs)X1p4?7MsHPKQ>=t5E#i43?10pxBS0FX1bOzt}Dj8un zn!kV-7S>96*tagOtPQ~6%v?7F;xMbyR}{G{RJu`n(uY0eJQyE5c0>(rH;dS2k)1nRw zM$2C{p9Mzcdw|Q3me(T#^`(XX6f&hinTF%*#MqX<8g{hoiR77&03y~(Y#J>TvtZ7A zx`qQl9nn+XlhhrG)+=8WRhBP`Hh^Nhnxeu#Jzh~^hp}z@D0P0r+{DzN-SL`U-#U>( zm>Q!h!DL|}iFM=Grp&$goqPER-50}>Lc4sS=@+CaT)bO-Rf+nk9DBsLDIbK+NtyEE zkws+daZ+?^mwbd0*6OiVsYV*2B7N)bmRi+1(7KFQvytULor8tCp5?oi9bgsD%Y^hN z3wKZ^tGuirlqU;CJkYD%0YuPbNu}3FrPNl%{Nfe#%LDYTxNbMCGp!hd0xb3?0yF&Q zC|IglizCgqPhxoDWA^gkic+qkq5lJtg%65a1@Bc@rQO_P%~YA6);Of|K5pfG_^7-$ z{F}TRL13xdEo*j>6vAP&@-5nL{RWzo*Zo|swz&7E@HIF17JpKG%}o(M2YY(UxA@}Y zasorTwBPy`e|p_b*Ko^JabU<+%5fNn0KAKhdtL-ZW&V}-*lo#EdM`?9W7-Df*uo`a z>IdZ7!Y7ZJE05!xj~)67e#tYxSVv4M{{a;3ckQ=u8-;WAqqv8TcIEhE&Q@L%1BqL} z%R0u#=8x-NdV3d~Ds829zabonBVD)l)VqUj85|hWPTn9{I-Q+pAfo0E?zOzF(%B7@&yry&wxRj*kMli{9zV9F(e7Sf z`#Y}aKFvR5SD<_g6zzp>q_a11NPKRWQq%dgFlHumck?r6E1$v$-4Y0iU)lY=U6GT~ z{3BhPgZQ@1`er4!60qlaTl@Q-AkD8B9@6|qiImpLhJ(3#13iv$1i@RbMVB*LTy17g8vZXGA#bnt zGdXBNz$JmGsG_3_zI5BPmY-X%c{$-@_>9dqd{5B62@8beE>2%BYzi-4XluCT#_mXo z9vxH3e6)qX!)j2*n>l2Ej;t6%)y7vhwkHdZCE5sm>9)4)LHqL*WIAYjkbOKVYU8pm zk=btd8#T6|9gl?m;u5};$P291wviM%fYiy&J?9F+YwLNA_63b*kKY&)EX6ti#p$1k z3K;Fi%Rcxt`yRvpg4IQ#KLn(Uw>0~Ws~o=QyPmK=P`*b*kLTcCPq%L|{M#J5x9{c? zd4U-8-BLgnccp)uJ2IHJJl^uc*ePuccz50WJWe12C^s&YG?bA?hDfoT0UMn-5kK{R z$??Uib({^nkVijj?3;YaT{M(jNp4MUr?Ef70yL@kEoE_my+v8jxE=$KTi6G^n^D6+ z!@OI=$Fe*P!qLgGMW^+f1$A_L3TBLo1ZZH|(nXVVQ z%Z+-kNA{-|dc}AA32c~WIkE^-0}TUVgPpSG7K!pq%W>i7<6g$)*?rw#_)Mg_c(uXEZ#!qS7A$`#2x49 z4Ydv?$}rtNnXPTG#5|4ROn4ICIbd@G8N*ki8)8Qm&c{RpIS9P+i=YdQ)zw@|zSF<| zF>j*Tx=~w~7^GJohqDvo60+`zd@80Iko_y=Oy+^-MN4dN=Y*VX!ANoBr#D=JadO_E zP=jM|jlDf+hg@W>Ek-39ip3XQGHzUVc=+OrYA)tEc=1KjweWWnBg{k0jc8*TzEMmh z*|wz4J{^t_YDASYJIq&!#Ep%IqoXeKc@?NDF*{*)p+#z}p0?f+|XN_EFZ} zOlHe47*EH8ER5{OoaRHG+-6>76_(;}WsigKQSqBjRfoCab%omLbFawh6r&X#^K%MMMnvkf znjFY=+^ib;3yBpwJ|um5bZe6PCh6_9!oNAO2~1pNDdaYiH_Vcivo5g3$LabI(vR= zAD1~4sOBb1-XAH%Tr^bpkv*#bSzj`I3ghyh|4FmE%!{o0h9XY{NKzj=ih-t!My7VY zsvIN#F3AhH^UMX570quYOj>JLR2n6v$lpP^PpzR;v%)HRaMJk>ajIDMubE;~V`-eY ziLZ$h8Kz(GlHA6A=s)=DN*4Z3Lu8Tv2VxoFx6|7&kx{}d}M+6blT?!qV3z>`7 zcR{Q4Zsd2S=@HQiVv{;!h(&m>9F}W?p|7G5wghV~JbZN1+>9Iq98Zt6F)dHd7k&c% zoSNKbzKqOFHOr`~N2tCGRhnD3Z}c`gn%?v_x|;VMCE`?sGlQ#a#*s^JGfRL6Qeoa! z%CM#vErp1RUia58XP$Ir&;LcrE)qMEZJ>eqF2J`6QSJ!YWeo5|w7d(qaAosD)ba}6LG`;7&-qqY4#MLQKu2ow%9rb*O!*k_ZLUuMvehvcq4KC2# z5pW%Ws%IeQC#-R%qB5uHd+g;aeU9ei{ocw2BmLf69nH9S*oFg!0JUiWxcM&8 z%0$}>0^ZFxKgT!GI(fL-U7lrU1r4@lKh~Z2TMBM@$r0ofUVj zxpnkaR9JD;TgzYIFzZ0esDN~K=$9=)XVgi+c2)gg1O%G_8NIoJG?%3NC~ga3Wq zxB_PV3y#Dg|Av-~Ozbz8X9|o z-;ft$YDLJvSbejB;W#s0x9j!gZD^$stBbWExTr)gY^BU=v0F&ZT$#3PXr&cZX|6BB z9zNgCUrfCm_E0xIg#>-}`x)t!{oi#1+%NoR*H<_z?$flTdF&Fi`K4;S;nu<>)!4Vf zA9bt_8M(#;mtT8wLLRPWE*Tn%*;pcG`D1#Xe_8ENPRr-=jRb2a4CdP`KKhsGFhfrc zo)vR-tTqOdcdYowo-iOL`KlazA0YYC9s)UYHuK{_&*D!Tep~;pd7fetuN{+~MXy{7v@oGp&lBAJ!AUd=Ull{P`N| z`KvbT`P*)J9&T22gy-#RtnfW;*7G;rJYnypx%%Rb@(3W(&-h0Z6xEZdBvdA8*!dYT^ucuCw5@LKqOHoPR%4=)L2!;9^d0+~>U zetZ*DgrA)UW|#ek!tCY9u9+{nGGA`U?Ipn?Fh*Oll3xq6H89(qjoFf5-cQtiO3gHF z&LwVMuJG{lqq14dIQ}LhOlzLz;pc~}!E+{5@pDP7B&(NXbNLXgl619_u3pm3O>INL zQ>g+xwH~TPx7-1a(v*F@7LGauNB3r6F3kt0WU2!rE411Q$wM&A3dw`eV^&BWf^Swx z9)xyTA$bt$wnFN0Lyiy>8&;>O{V5!Qxcw>J&7KtgV_2^)u!@@Q1MOP)7^t=EzBM=B zFmoBk36FM6rqf&TIohb4M8Of`!%o|+jT)qif_)j*tuO8oAP_%S8x@3q@Qd|JXjqlC zN5@Td5I(~%W-=kHW=8qSi1A2_oAVySB9BOkvaiM_Grf5~t{)%N{=J8!j$yKg?^Szv z7q)+cF)bg$SJ}w3P^EbCjD9Uk>R)t@xNrH_DQ!&nDu|pwW`t`^o^@>Y#VC zbplkl{MLWanHuc6TXyqeL|}IAJ=iA6geMph^uDFF-oux~^)<%d5AMb0LzMhGIqeJ9 zCJW!p6$XamVQrDilZA5#Mf;{kPWQ*h4I~vixyuR=Kc2T;Z7)Z{g{$1j!awxq`%ci< zOnZOVPJ5TOsJbyT~f?NfM)m>q#NrH4#2v_oex-2f(Ln+hHTg0AFxwr>iu`<*clhA9FQ=cA0wNx^`@kVRnj~u$wx_)L0Ng}%rmkIx>*&JRnBB7 zht<$VIb*DHE|hW(iLu0y<&4ZK=QvePHZS-ZjXHsxFf{nLmQoSvNvX-<6!(zqBiTUg zl$N>BQvuKfTAtTzGQ=5vupjr*`%!LBrr_5p!=MJ|R$hc>iWheAww^`ZW=@i(idQ@- zdkBv6l7-i&if_miuMBV$&na~v`>1KqPpFaoWDciJbE17;M~1-W1dXlc&nOhwWn?b0 zC53I=YyRyM=>*3C#+@KsUzOo^ITVo9oN2fO?+d7J9Jy-0Y2Cx;6HarlD#4t0RCezI zm!ruM<2M@uG@^$Fr1ZzK6J`r}NvL5OTGvZl6XT8%(oLV=@D;EH5J7nvJFjgM8VZI5 z?R#|ZYd6cGU3{wDY|7?ygfAZC#D!xU$5-5`*0SSEd~V*q#gb!M`$^y}%7~)O0Z`5} ze4_T@SZDQ=Cw-NTj<8nK(C9EH$u%eOf`JKKI=tdHWVffa%!kzouwfo%p2=sX2~ff_ zbyvd9z*JS->egCBomhFBE8?p3YPbs_;9W47WSlOhq}~JeMd7o32L`yq99eM2?qF9& z=TI`-CxZwzX*rWTV*Aq~XK(ZvnYt1)57=E{jMZyOfRolTESQt%8M~H7{A7K0bk7DzGDNV8Ikl2c&tvpdY= zsW{=4JmKqTRrqSi;xIEu%7xH0j7L*$K~RvO+P8c_u>&KnEeBua} zCadhA%%l zQq`vqN}`rSAQFn>P0TGPt)QGy7P<(5~Op+pC9C{ z2Gt{bQjDV5*-u%7^_gnOjdvpoQn#E3jZe(C5pm&k8EL4t;t~j`x7wj`VAp0_>=n(3 z)(Ty)MQvehx46l{(*deBQ^-eof%P}p7PG4E3^ z6Dy=v&gV8FvRHusgG+mpNvoR3cch9)QC9Kuhge0o{9THgZWWEyo5!2Y<_3 zRtvPHw-do(4$R#1v?YH7;zsKl>2rL_Ik>trTt?MBfT2RtF?&Eh?}OQ zWC~nPA$^8_xjPncnU8)X_%;!#OB+hF$$5xy1rg_(ccniNY2>+S=he8_xWH^u@tD$u zjByxn4+6unGwG8_5eqCcy`T$R*(pepuhyd!*avlizy{I`ey&tRdr?MaIBWsQ08XCnE>bekOKH45%kO)cgf=UT?VA zLw6!48`Z__X6}PHqm;>=5+D1(FtA8j8fOx;<^y(B#4xi~iU15;Pl6efNIr!{G*8Y` z*w-4TDEy}_ldH0gmxazWQ{wWt1%j>=2wo5(f$&=BgDxk&tAKn3e`Vy54l-Xjk#1g` zV0{=9ZO*gJJ8#i5QU){c*Zf+L5}1+>#{!)KqM-4jp8`t+#0p3YNNJ7`(OZ}# z4a5-fdDF3nsKuLvqGUAMGp@X<j)ecrYE`gQ!M(5Z2BCZ-40D7wQX@FbCtP(2p+?UPr^5u zKcq;e%^clWcr7h=+rkksGkW!GZ=scv}dC zlA;Bja<$>A-_ttsby~EbTU+%DiLlF!BvmBBr z42D)4A_bxoB{Y+yn_T0(TG)J?bz<#Ij!i8KG zrjuLk(6L)?xy$i^#!CDFEPmxQht|?7U2OP?!+cGx09{;vjBjot;gvMKVZOs`=L7H? zAUxPM{HvG%2e^h*YgtK&f@)gJZNx<_HzH7|8?6+c@Ku$^ zM9vEt<2}$qAuZpBvsH}8^`!8QgYozgFQ|ZEwZtom(P2Kp($X`USeo=5KL>hz=w7uI z=Sw;-Zdu~$$dhq#NrLqRCYo}$n@_$AiXBv~$+Jbqrduua|K@_|Z5|t#|I7Ck<}2Fo zNvDv0X+L|0oW{8HYVar_3oenHfQkL)*^8S!l5pNk4*Zlw8(p^W6mvSo;m$!~^akA( zvhNP#u-tOU2vrbzuDDq1mP+_S*)l?+H^NLVqXt3{YULP)Jqf_Kc z3Lr*OlV9i;8J1iAGFdm7bJ(|=JGl%qgERFagqST`fw^+rL{2Nz3ak9rr)B14*LC>r_16T;tAPt5?%#ta@okQd++x=J$hTSAFb4hZbBPX2y zRFQ(pPP4vKRt2T+6+cJV?MPd)*k`35KZKV{zpRP=lmBkH+BjJjSpr>@V}AUW4CZXL z>Q%u2=TKfrb-DX~?((7||d|F5&k%|$o zyknvwH|JuyCBiYP2ao<<+(wc_BT9ac%6%faqxDrJvD(e#l${F3sItiKF!NuNKDMZm z*&1Q4S5<^3NyC-M55*@D9A9Ky?l6WX3$Oi{YXQI|8V;QoM^jbl`s9FGt@1i0jLthu zLKxA=*^4h!)?=qdo8a(^nf)2-F=V7{7M;}1(mU8{N%U2~brUd?Wx%|K7w({^OM>pm zXoAK7Ib-rQWXQstx&2GD7%*6P7cvGRtnfuWw)IlCZ=H}ZpONEjk6h(bR&1C144=nW z+9pP9G-GT@u+mo&$?p`e_^{2AvfN5J8W%;R?BaT^`JQ0()-qeFKl>dq+HeX*Q{{ttWa0v=U$HT-8X2?^H|6eM2ID5*sQ8VzdV1f7%2$QhX+ z)*EfTpeV&lE0P&51!Q0n&Ez;OZ>zn0Z|&Q+S9^PFTSc^9GC`66%C#zJtpQs-!?7B* zCWI>U{nkEbCJBP|?f?D%zvuZsU!Lb=&e><5efC*8@R`I3Df*!Nhqu9P*4=RhV@W2Y3WPNu~nM98)u#}y{%jxshrQEk6<3Dz(*dygJK1C!mBnx;k z!7KV)o*uo~ybC=GkGWw^`pn=whb3Dh`RY_{9y@j&-8b z*dqUPI*pwE8hszwi$TNzmPXVW*0*UwS(-R(I!g$A<%@!P>MgRQV!avBivRsZ&*Xj3|> zCjn9LTF`DKwEON-^AK&f-pY6k+URzSRFuNo3Owrac`Q(Hc|*pb>Tkl_opJYU zQcV>|KjvKq=hfk$*ooG=ujPsy4C|Hx7fo5AkVg(J!>DZK9~BKbRRtOt=R14F?=aeO z0G?x-6x6Z4dXwc&yizmW@J@u2QK=iqT~DN_edvOh70bHz@Q17;T2Rkg0Sce${0;1% zh~8K&<6;w79RR$LLJZbY*3OrJ%XaG@{D|%o45{gfZY2 zHs8ZmED{zAUua0ch;Pe~Z8%nowAn`(IgizUk+V#3_oOhSJb4YvPnY$>-%0TXz2lN% zPbh(hr7WCJQP;*|1W_ZuqmEI@P9R`8p!NfX4$YSipy?9Z#^Kg#c~5*&UPnEJ4n=n8 zfIHOy1&gzIXFelKgBYny?9DHcZ1cm}#iI@SHHS&!_h-gW*$*yY?@>mtGULBuaRuzk zWYbDR-yALEW21%7-)$*7>kgW4&#+OMee9%H+&JASDmIXt#0d?A@|gAigeEIn;#>0BIY5IGa@%sR;a6!g{YY>&LB4S)(5EM87I! z)H(cB84YJBg-h+vyAWoyTss|(KZ*jq7d#AIgl z2u|2n)?>?R@}i&7lm2}4#*2>={*!0p`{Y5k{0d-4M|Jh;(>+RVa%3Q2d~wH&N>Aqu z^(9IzA`)jA8ankcJNcZeU~HiYBl%Q8#Fn*uVEP1RWc>CL&oVp!AyvCzdV2U6 zvT2RR%gEnSX=J=`?1$tlvFIdBrW^iO{NElDDl|r-CP4vk~e>j#YeiJxU!U5L4Q5PMwPzYFl1>`r^CkWJhp2hsDvuaRAqS@-ig9gvVZx zZ3C1J>@@}3tX&^vGO?9bzIh;u1!zNC{6DcM&ig2~vL_G2yzAaVSJ7r21Ax%r#8w_q zg@0FtAHirP=AeoLQw3~}3^CV9dY=Aen_(kp-^SV@MbL(4ZHN;-7uz^x*vh=5B zqRx5rY*isKeTr0v#k(V0bCT3Nv{BWZATa{0$=^2PsA8pS4cbUC-J%(GODe`W&b{3;$= zsnb@D}E z9-F2@+{!(XBJ0>TMzq^%0TI?J2K59}^`{^PGNxDYN(?1Z*66hlc_P!T->wn>ZNZ-TXPecT^?Q0LEW=CIJq5-M?bkm(4Lz$nQop7iwOT{xV!!?Uaqq7H9 zKgq4G3@ohg%iKuRmk5K{x97y2eLLg(M#;wZ11YSWUu>B<8J(+yOG(Tug*_=U+tYhM zNb)z9V2W93e?!dOm4crIO$F*TpVyO@kFb6s4Xdn_Sp6EWdBnRR#4>L^!ap-FtrW#3 z8E$;n7)%So^f~P(BW-UHJ)h(J`YGuF%yj(MNX$ zS92}9JTG*q!3gUf+DRk%Fj;Te4pY+bFekfV6!__uLQDQR>$WvfAYlgA>yM{DVianO zQPE>#E4%U{b(B6F|AAVs?enZQZ$OY>0r*HZ1FqU` zk!C0(gM?MSEv!Jd^%``?+^tr944o)gEF=X6@OzGoj$??k+CTSP`W5QRSY+w1qpKG> ztn~Hpo&92-cSgOkH63($8bhQesp<&O0S&Y3iMeja2$#Uq89T9%sbmZpU49 zR-fp2H9D+H*#Szo^6fqG8^`rokHR5T^|F_~lnCmQ-S#C}Z7#SM*m!%)x83Xam&%u7 zv6JvZ0Uc3+9n?rsPki3E5ABIk67SY)_2@Cq&0=0#)LCC9?2|dOR1GEu7%#51Vq0m7 zy#T-VKu7YDOxBF0^2nUXC#-MRHy&*riC#N+9htY2ec3jv^3yCOee6?wj5Xe;3XibF zDSI;6k!Q6SZ(YoK?y|oN*-8*5U}F4Mvgyax9xFG+d`gPw%U3M-OXBAZy6%R=SWCa!dP{Ze~rPs zlqZIWa?=-i^L*PrS&|EV(Us)9Dm_`q``60J4ZyIe zO|lLBT|AN|J0U@39WD#{`XbEXE!M?!n{LeopQA+~-`^uA+Q+sGGcsfcU_ZWg1dC** z!`|X=xhQ0k#bt|iGOa@+(xOfSx6v!PtSROQ&8vB%^*y>8p4WxM-SK&0_$PjSp%(+6 z6v5q<42{iON<6&a{|6Xwv6rkU`KsGe|ER-S#vT~4`D=F2j@1Zp@5)aBbQRIxoqw)w!gC@%TqQ6v2 zdrtB}2yt~XgLIZTGb|=!*gOq_3Tud_wxRhi(POO7{XPe{_%G@2xoomu!sIv9QEI9=ppSf}B`uNMI@@!y+Yo`xnybnXok2F5b;-mG~zKPr8v)y>(i72x*uWdP!85 z0=JP;YiNkw$Hzx5oI6J|u;MhweHk|C^4@{;Yf!?e8sO}&xv{_4s|iS-a{hui5rKWF%R zJBy>}q3XfuNrE)qZ~~q*EtZ??wB_Z+f=MGot%AsKwc%rKvrp#I6ZxXvl!+7teLah> zwn;nu?&8lWJ8UdXCS~-Fps+u|DW}QzcZr88vfMd_c}1}hmJ(rIhcQDKN#UB$9CDqq zPmrd)dLM4jtg&>;sY~uNCGpLbwQ+$k%L{YVODWusrpKtnN_d*T6?2L`y2?TZUsR}l zUHGENRG1j8NkSFt*mG)4rhK?qcCue4*Z)x0r21(_MU`h>j&OpiEL3W?r>ug9hz7(K zaH1ad={ar*damYP7P-DZ$2a>ES4>uBg2`?k?yOe<0n@hA&@=D?Ao|Ce;%l{M&aofX z9y`bWB`;K~SFRq*SoWP#@#%Byd$o1v*lXx5ag?tG?VWyq&N+kqGdN41%|8P>yR1?` zbfd0nREkA!6JP^XO-QTwXF~hZ54in=SRApRSb(3C9!A6FIcbSvhm9O6z?rk-`}+89 zIJin{jKqi{40S<#-sIOh>ce?~){W5p5KJEmsu!(Zc5m$>P8xWLSubfMV526+mm7KF zeo*g^fwW_c%uGMz!QbJj%+woDWC#`oN0gZUFAn_A;6TAo{-8&necyx4h-x2WE>z@T-xIL%CPe!wlAQ4K#oQ4rUqdyI+aS z$aLwveEswAn|j~tsr}y8_O|Z){F|LOpZ{~@bU|MHCoMFO7!!s~ zK^!Q<7&jmmxp(B@Mca%}$R2N!O<8`}v6iHjC=CcJXU$UbL~<#&ux?q4cw)qVB3Fo! zDAZo^w{Eo#(o50(CDk`nJ!hqVB$hFFrtpyjKZEOQM8ICoC#g^x*HJg$FxMVXtWkcT zwYb%Ta6GPcduzLX;SN-knN+K%bvufrw>jljwLN@F5NTq#xyu!j1dWuevHzj|B60l|F^ZZ!W>G&2Uis1He2dOqHBg5iLr<_KtB^3(C zcZq~!N?cO%TgDJ4s#a9+*G&=PVFFbT&MX#DF{?Hefl!7!O+K1DGroW(Gi?d=tMr=Uq{0T_ zMK62u5{-txrLjEF>H)mzE4fkASf<@~Ehk8!-L+p>a!g2jy3L4NWq1Yat>H^NwwHm| z*43A5>m(;tSA5?p#LI%KTk6Yei?#Ryd1sgOQH*d&Z=^Lz*a>xlmOxG-*UP`l<=@Hj zPs1J{dbg-GUMprfyF<=43WIx-9y@R*Y;5w1N-3KPuWZkf8Ia}VO;4g8>c8xQ#O;;# zxrxTg^gX;wJ%#G^iYa#2;kBnwdw6{24edP72Z<=fsm1H0M@X`W@#aKmCRvexh+QP_L%b ziN3QdM18Xz_)S5tr(0VF%_@RixJ49uDL*u zTy2&ICl9RCDg^A+L4k+u^V6|Bm2Q`hJ-aAD@L^ zrI=Z`o^)74XW?{is96}~%EqMZByT$5>cll;3%{+%ZOj%5~V z&0z*d=2{XBj58BA@Y#pY#2>LM`p;(K?Yx)?awhEfr=5vSTNxv@AIgKDFyl&``Bj`Q za!v};hvb`PPWGffa8An7Z#gIV>DM_q!i;-Pia$2vMjY$TIGJu={`hqJf?=A18H!-n z=q1q-fAw9Z&UBi@bh1xoVi_4(TigjmXd6}q=OQB*`|;_PO)~sH((>Wc?ROuaZb@gl zeFDMzw3Becw*(YNo`mVY!R{#CbaksN9}EqYisX_ zOskDV%4?TI#?^jRYwo5_r#@{MKj}X@=b|-Ei@7}II2+`p#h6x@g;@0+IJXFy)Js%$ zb+nYsjJ$+CEzLZa`Yc&_>HBi^7Yx*=hk5o3%9_*OO3l%7eG4b7cPOcmjY{;^yxOX0 zsUBPEIX5~MAt|5Rq6U>0+BLQ3JNKqV&vNgL%-)+gWlk+&jEpBdC2N%NJ~5%&8;f{+ zI8~G$o+JtE5gdISB&PqrJ`Q71dj8*Wus`KEn9p97+Y?aPBjyrvtsBB8{*WbEe>Mb! z^QXH4LJ;16kM?w^MkRxb_uss#QEU1(V;k?kVpXNqv{O#gdZaX-&d0Hye`AE84_5^J z&w?fp^oKx(^k((Y9Ic5xMxOox8pHk@Bi-@-d0I2OTw-fL)jgnATIP>j{2dfce?wKj zbJdlRs(AXA$Zw?iU&z0o$lKuG3Zu)UawF5nUH~C3aa#JB_@BaWznxxJy2I-i1imvMqd!pW8>&B%1%tNnf_qV|&MGIh+ zPV5Lw-(4B&pA#vJ_3Kfuf888^OJw>UBi@-GFqcmWR4g|F6`9`lQ5g7`jp*V(K$VY; zy|X49fx8OVEGUi~ubjUW+xB=FUu})TnwsrFqISU3+X?c|-E%^87F&5LPU^F`}`odpe{sWEh~Q3r9QjBgSOmQW)?Q+2dTm z5FY3%OQ13i6vTI-(TM&a{U=@@*D`9Y03y-_*$Z)BAE0AF?Xgi#7i3viOR)6ihO0A>-0h+_ zc=oDn@YNjI+&zSBnuXr#p(OM2nrD{Em>s-%)osoeRs7%;tEOsA8>Do=?5`MI71h|<4CzVV zqblCHYF1=weE%(x_0sC^<==nFOGd>H7DjKg!f+P$4e^kWNh^*cx&1i;pdXn=&c(^k zu8JRA7&$(EP-x`AXk?S`rD!=ca)R}Qv^2g`cL=2J5=g5GH*%LWj-pqw<<(4{yew(# zZVB!~G#W%2rw$^G-GfMD_W)@e(Glz}bE5p`XyX`{He#OeTl50Kb2kl8$4!blo>bQn zDC{0g9v_=i*RrB;FD}seX5$pSqNk$K5aM_}(i6T%*O*t79nNDP6I)iA7a^S<)MIld zaYdPZD#}?X;7~@p!^4wVMw@2h2Qw1bKNaw8UGb}M@<)m^LM?JL6Kf)7RJZsZwgSf^ z(LTULr!F-yfEa~Yj9zRA(?51-hbGu3NPmi?J6K0hub3S-b(YC9C%FA+3-~%#tdA`Z zV@mdhUkf6xnlL2&9pRfH%(pqSgwS;tdtElXMRrlq&% z2+ob+WPO=~2k13if<}J$n!1uG25D`vuPQu9scrp4F=(KZkOAdI-5`0ZV=x-%X0e3c z&Z5CD1}KjI>mQ>yPO#r=Z&2oohDn~GBri|sC|pN~>UM?7c-rM#Li52W&SeIaV7iO2Fsf_^}Yqm#9JM^$;hs8>h9Dib$ zC(nT~H7G}#V4F4@Z`$>bm@R|?4p41$EIW?(PSML>BaTyByt_Z%Hkus|`-EsIE;3(= z4CDWd=qLyROQYjyif{opuxxhWb!wU2X3Qg2`k&x7li!p*7yXGmgfNK3=|=oQ90>@V zEIw3mcb_MajQt2A8$i#-x-#1)tqf;O9P?gxf5^}Ro#>AIVi$#G4h_xRta=U?Hd3Gx zzvqhxbw2Is#u`#@%6;67MiF!t#lUP9AN$k>Gm)pHYFvl~fxjs~p&jWkb#|mfJNAoO z+K>q3@>xnf9pFX87;6^;DbaSaIEqj7zhNz=@ClYpYl>4_>m! z{9*H&(xA4ExP@y(r=Z7b^KOZZWtAjVwUpQO7WfOI#MgChYwNmVwVtKXf?%tTJJXs2 zG|x^?ehBq5lfKo{l8^eiHD7P-3aHaSt7P+dyS2V%$_#kPGqOF4o-(vQ-((1Yo*#SS zQtM@iw_Kp%o{BN?%*lRqv#8K0m=db}%#u>$iBoy897@tFj?bIi*HK^7C_(gjf2?+_ zc+ZKMhuD5H<*vo*14n)pAXwScD@}Oom05p6?0{~Z z-BDldvCnWCT|V0|zwMwB&O4y07Qkw?zEptOS#PNEHoqdm$|=LO z?R2&K%v$t!?!-0B3#|&wlc8GYNQa>{?4IdSu2jZW)WxYS?0`X2sW$AA{Q|C zX9|2otcsqZJyu^fKT%|Vwza;jrN}Oer-wzx$!$#lIYQ15t31)KVar>F9l3n1&>gY8 zaJ)$B%Xr+%`obtmGtg(TXe{gj<4<#!EbAZFY(64_qDDv1saSA%EpqS?mr zCdWG*eJZ%!Fv5*_#CPH|mq10817Y}VF_eB&IS^v^ts>4ZA-epX#1^~3NHmbsV`ua% zV*fltL+l1%F(tZk_9w*`v#n}pXV7M=Lrg0-u7+Z7%h=%t2*vX}!t+<583}4wUxRtU zXSgondIIttbSL;F&QF1jE8?8@1wRWPw2Jd3oS$vogDh$uh^>4xUpX>9lXGNzNBJz` zF4ypk73y%Uwfj`z`>Jr7DlA7lUj3}V;|AheW#j6}P$z#?-Xlg@tKTX??`N2W_f};0 zbDgEEc_B0_SoIe%`el{d9ca0kmCt-newTt2ftFih94+imi#tl5T@tAI%+7!}FM15_ zDE(6bX@LCQIAsRP7lFQ%sU^Htvl) z+hF!dB&!gfKsT2+NFOd!zQ!`etECaY9)BZ0IzsLkVs%u=+u6BE2FOK`xaDD>`5oZ0 zRthTV_9N_D_b~nv|HW(;VTl?Kg%h`|r*<1}xuuJPkG|zkvd!Er3vOcNT7p;oAdvXU z0WPgY2tEdrSfXh*(RW>}BhMBe%<+JPz15^8)g~knt18sC1na*fR=pZ)>#GglKNeqZ zzudsbog$wJ%~)0#XgS@kbvI=Abd)?e+jXc3RNoSdjAi<)5N>0(r9G=KhvJqzpSgW^(X4EAA+ z-Yv+fcA_P`r&@ok*eVL=^@xUT6KKBH_0G6zhSZhKtda3~B{+7>8~0}N5@juZ8Z=xo ziYS+s@qs#gxE-f$L-}4~G|v1Re=Sp>wXVASqn5hr0q2fF<=g?!sHQq=!ODLJL$P${ z#>{ch=PlM{^dfx~qu{PNhq*5QK?f0z=z_TO%)u@i;)1xH!4wxnneV|icie_LE`Pq= zo$rGkmjkNM@y-BD%41n3hw|E-optBi8Nt4Kgn?tic;)1g0?eqi zR?0dl(NvfqF4Ie6lLZxN!6#`qV3Q?80M)Cl3&H<*8&=<*B_plrs^QZp0tJmcSZFE} zk6A+6xE~}#I+Ulwx?%NOe&7Tt`jD+kWm?iyUP+1L-7f?cTCgd4y7ecfo7?lz^jwWO zJPy{vVm+?RmF>yW#WG8$7vldeUB&Nh9ok^gF%2?2Hq86fTSSdxujZ?91Y02eSpBSY zN0`nWA5o^9FNVY|37h9Oh)p~W82wCU;Cj(O@9tc|+;4!b#KPd@5bjdq@UlgDMYoXS zhVXp;*7vQ{If|`39Y1+W)Lm^|DSI_0aSV&3qV;`MCHgAWmF@feZF);{G2L@b;E&c@zyPLv~@@CZt?z%cVo!jHayl}xngweV9lye-&x()w&di)dzz3AC_Als`atSR8B5Ix0MBcLMQtb5)z(}|_e#Td2@wp(_^cVIASQS-D)HET+^K!K} z57hq0GQs!@a3X0%8*&N$3`Md2U}RjZe|BUBwjA!ji<$q$Iv0nB< z?bBpe1%eB9zhr#{RIp11my}XRC@bXN$-XlvDA8e}NSN4cS%&{*BRO^TjUSS(*$F|K zT;wIx_JvJnmd-8Ai;U*vBu=zu#a2UNnQe~qo>y-fWB6W_m;fN|9x2Kk2rkM3HWm-jSk(>(iRRcWB_D+en57nSsm zVPJ#L{`SB+z&5AEidV71RjA2#RZ4@}xg`HKUv3>%cVUyKQoe4CoJ~{E6Y)}gOR5zk zKM1wAnv|Np%T9#1F8rC918dbRcY22^y;9!wbYsZ>)cEWL^&9 zB|vDn*kPcU^hpBadBcQ1s97E_ZsNBb+EPPNWU2DDVol%yDN& zJQv-X_VA!HsMRI*c-7Y1@Kw2Sb~^k3t1}SW9O2ypD+g@pP1JnuIgw406K}iz!%Wb` zOl*hVnqPlm)A5Fk>IgXt3(~U7E4ntf2l;x-h)}%0Ai9&?R=rgvZ+6-_?eKQ0bM5$# z+D_r%cEtVx5gUz;_VqIv1+A%@E{ih#Nq$k*Ur*F$uHlA>5_N+S6W9~f+#5dDSh?w4!+KrK2_8*S+Ci_1X z|0T>*S;*XkWH#AjeRC3{-A`LbxVHpUNWaQGr^Qe14!!2D=kV?r@lBqzL~ljEr8TXl zih$)V`FE+Pw{HJ5ZL6j~-nO!w0c3XV(LPy`eyMRnC|>3$vTZFp0tYgog!tiNLPRXk zx2h$QmxS?>oSIUCNX({e;e!O%(jR|???X1p`vbbLpM{+-h0_@ll^P#UUcL~jvB%J!+7xWv!y?p!cQLzH5-)j^Bn(&! zP;@h+w_aY{+TOdnwf)4u#s4}nzOl3-UGb5_Fs<&6fpYLnt90K1?d!L}sF+!Q?d=-8>NVZtr_d5*jWHlCL5mIWL0de#hxp?|W5` zf8<|ORP{<4tth>Cp8Ph(u5Mj)E0frFPzWX^#1#!sdOZk(G+M}1^M+_4AqCmvYds{M ztA#;44R5mSUn$Oe^7K4jBLUi+uM5D_E}Smv;OIsE)(-vL4!fFPdpwUuPT^4i9!ECH ziyWi3b_{vSCW+#pM$T=M(4kA|sIki)0D!ixO_D9^^ffSP$5n)DobqtLLD)^?9}&n)i9SX3OW_(-ofl$M-pgk(rp@r(ay z;eD<2lIHV4^KINJL%aSepaWi$>`w!-+1C1BDv(WbK!)nh`C12B=eW?S z5NI7E(3&97Dr~?l7-lX9DtkosxpUjh=LH&rq2q!^eX-CiaORXemuAVgV}|J4v-oOb zhuzwq>2#3^e2b@6`TFm^sKN9AO%{d@<8hwmuV&O(-j&!;LT5LsPtJr%}GdYcl zChzV-8Kl?oQIHomoY>Yd>DkcgHUV{b(gs?rP2QW~Em>j&8J*Xa9kSHkX+~8_=wOy| zf{&Xi3XNDXD!E%&n=tr;O~X+Oc|{bfanqX+x{ppjE5#s@nC0 zN4BEAS01BN5QIT-K1Jc;%Ay~Sp$X?R+dQa0<>#?r>j83gwFZj;&Q4OE#`jH(w@=W0 zA1yf}P&0P%n0SrH)C(3553nI9LRC9BqsQL$7^%I)hwf4aB3Ra>-YHBjITSE&{%t{W zM#j8$HMwSc_0$`MNJOVZ&o@%9m+9UYL*75hv$}auG+`2K2UQ78;}tjR!WS7zoh5F>=`>cs3cf=!sh}urBl3l4CqNps6W1S?Rg_kaVqUVv znw(g7^@l`8J-&ChICqHrXkK0*`EZX2Altq-Xsf@N#cw*v>6>$I{{~P zrpr7)2=n-R*CFk!dnEoozhn~-;*ggtU{{bxxXGKbX-zcG<-avuv_;9$ms|5x(j^7iEXE{GSYI`n&2SE_jI$k#1E5 zYHZUhIA?t5w+MpfgMt+e=7vzJn@}f##Djt!LGyjl)A`pw$HD^yq)r$e2tF_m$ah+2 zw4$m$0dqDihdx?G%;OUHk;k4Hf}lGvI7p*e80`A=Fi7_a zF8KaTAEZA)^9^@w46S~1IH?98sMWnLb9JuvjW)MlNUPsog&C5}XMf_UHs%?#is)Z| zW}HAFt?3y0qnjyn+G-SkGLN+8_xX@u@-7eP`>Z^WcvPNKmUrfB#GPgKJCT^kjMn!W z`=gDK8-nI`nE=Pu#ee*OJS0vNozL6}OHR3qyjhpH zUzISYM4Q9-yc+2&LY^Q5YF^bd-lM|s=%N@)L{C8*9nc3NO&Oe!5_VF&!vrG7p5E~jPiE?&`A$Ha@iuY5SXHaZNuD{J zc(Ry(0{J|&T#?TrTKiPw^X+CKpAR_X6FWzhjqAwdGXup?gWH=W9e?8_OFI5vBcCnm zC4&yvpv9P;^|%$GWsa+01_=;#3TwAqETC!$GH^woOu ztIU{fx94U|-p#ogBV^{SECKDI5w(cC$w?Lp{~ZGQfg+$Uy4?zzhr-F92ssaH^?Sp~ zUn{Dr)g5%nDy3=2sL;;AWb;KuHbJBUdI8zg&1p?Jy7?EGg&(Jz&kLv=x=HfFN4XlH zn_mc;yR&rjL7^rer<*XA&EnsiqnxVV5Xz}ahEUG-=nn>y%%tk=(MYC4i-lxv`KKha zURsjel-soC5C5Bl^4&E9gmNP}tgYQFmhQSa{HENni?mrA5GAN`4Q<*kV6FJbC6e6J zntc#SHSGt58E`4(ZYQ;*o}39^Q}~scA3`u&9D+HRImzcc)a(-Njl!!BILYGGe{Xha zO~2;ZED8Om49dM!mK^n|ad^@Ym~Egs_es$Q5ftx4xpM3IF7 z2`ogazJU2g;?XibDnPtJAKP@_mc>|c_L6f;(crZT&>aDDYmU1w=ZPb5_fqU|_uHbo zgbTbp{**MX7<=^=7<;J{Fjcu2)h5)LeHO+oiAROby3CQ&ttVWbP9CzF$LF3@tkBn- zj>$p>TSV>$0Zss^ zt@9!r{21ZD$ZQBC*%tt^%|DgdC&Izm0}I|?#TeY%+?F=^KC?@bMCJL2%U(F2xCh#d z&BzD@)=n;yRc^g2BCP*sBEkt#wZ=`NiBGl0jesQ{vc~PE7w#I@i->UI5ypklO8=V0 zMNP>kIZ>GMdrk-(3Z@(;FUTMakrz~fk^{FzMPAUF7D{U_wlF0>5nIxi${YVV!d!`G zsyi|$htkLKl#5-g8qx(Yz_VnT`JkLP5Fmt*W(wm1i3g+u*0D5D)hp}T0Y=YlO34Qp zAv@nJo=?s<2h1VM+b4f>x(J<8(D#xnqXbE1tJUv7B6wMZ0l5FUZWkS4T&wSrNTER1 z>_8fL$zh%q|0Dtdb^ti4o6}mM52sf327Fzx#f&1c2tA2MlCn@aPo!mRt6ot;0gIdH zssNwXY9&E4-0QR`dQ=ez=BjmWi`M+E8Y{v$Dse~#HKFin2r;Q1 zo5Kxf+3E%s5YFlfET%*<*P3rX8f!1R1WNszEPN_3Xu;B&u+nkngs9}yoRE#EEPf1G zral=zgnBN@&Ihc;K5;(Sm#N7xTQDKnEIFT#Ks{$b`=wemh81Ab5h|Qc1sBB?d6jjK zo(p-+$p_COA4ta?`9RLxCmi`;pU4NDNPsxiZg`zs*fG4p;85dzFup34M1igz>4#U5J*eB$-{vlCVfU2ydy+m-$jE+dvyNcqd#Pd?uT)8$6u&^ z^9jJgd@)_gkJGzHg*clpB_4HA+NIN3{P_jX(|3EROzNj(Qm_BlCbiZC_m}z9Xnh%# z)rTDZb=i)MRUJd%Q4$ay40`K#LvwxInci2ja*o>NNA5A$gC1+`RQF`p z6~M<5#m>Is8$7JD?TQbQNH2;%ccqt()V@ORc0L{%XRF9K4cS_1lI3cNjDsluWEt&N zwEK3P_{yZ+vSp#&a{)kRGr5vCtSH|LsW;z`zi|rb&?tIv$Joz ztnxaWOxjcTDfU0R;as0As773JDLNAK*@_f7 z!@u3Gd$;S}m*C?n@jzX&4!vh4ko*EFtlg1D1TcRvIX45(QqBGg2@*j#-PhTOYV3a1 z6ZVX0%(qQS?o$h{lxzx2+H7vocclZ9UP2h#wJ$hw^CgM<6!)rUwgi2Dim*}P$WuR~ z@k$3oqHe3|HMa^&QDUYtsl+4dCAzOGD*NmXuM6uV5@BtHq_sBCNV4pY_3d6f0@FD2 zrSxbav=zI8Z0AjCEWmTMOa{?D2F0)tvKnU~qq8!baovoj33t`BDOvAfgDhyir3H7B zA&PO2?>mJ6hlRn4{W4x^zwM0-EUg*~|B$g5&gOrS_N|otSk)#5q(%m$0>4goL;{JG zF*PKv0GS<=8?mlRKcogDP_Z}Y`=c6*9gKyH!!yC;jcObOR`X;W6#P>z{D+%QI^bt> z!G(TP4*G3@NgL>~zRQ|)h#kOPZw5woUXo}!BJ_VQFc)ajVIBQFhQeb7^0LDuOq1^0 z6n)2mJ8Og@T*;)8I35H}ff_Z2Bp=kZ`%@T2bScba&vct?9{RQ}F00teo@C@$wVlZT zv6-$c4%#Ca8*F3KQt2p?GY+9JP!=$1_9A2iw4mBU37Rj7UeMgyw+nsh0|(%anlnL1 zzrkpQQv1q)OxU|Uv}@m`$x+9cyR3`l09srR&B!e0EKgXK{)xv;^2v7 z5~wc*fhLB%nJB)Aat7+}a;#jSGR(iGqlRrOcY~s`OpF0pco=7IV7f z3MZ|)__VBkt4#4AW5bf9=v^@&X_^g8%nL<-eFzMP24>n#T)N?-FOJE*Z&L1y(-qBEmx;u^5P^%Lu36yeToOSYDZtm(Eeh zyvDxb?wF_1 zEgoLO_Od$|YSl4QVcu5CjbL(0t@7^DPKnV6*v9=!it5ZO|EmCf-V2HQ@u%TwHagU| zCxe(qTzgM}^4AzI z%w9$>Ok{jg0k$#xRXYjB>YN75_6BlPOfVFA5ey1>Qw{hpYrjcJ5LsX6l8emy6?iem zXOJnMubt8)-3L3m#G)fKatk?E7Gub~$*5>=@OJRjV)l0&pyQgQHKnK>HeU#sud>wK z9Ojn9K@5;rS;mF5X$6u`Q#Xg zBJj0>fbX?MpdJ2OPHPVA!{TN^+h&u3YAC*;AmnRrydYq{Ko_Ql&5iTd>gGsZavGcG z_vo2+v#y{a`9%`HwuQamR9%6nHv_(x7VYN4g2}6hLylpGo_Rhbb}5Xi5U01Wf2UMS zRKlu;O=p~Gj8!AxJFan*T7&Pnr@%L6(cc4!LTxSG{7sm%P)%u1<7<^&G>p`XdpG zmkiS$J89{pKhxT0F`#q{F;&jf9xGTnsly(NPo?MX;rM!2HM8v|uavJ-_RWr^bKJ@G zo%2mmL>u!;@>29bti|K5psLNjT3lwvTR*=%FYgcHVV5Yi_Jo9<;b_LL=P~%9Eh02B z2>YUS-)$@_lHQli`MGl;R#ezXg~n0Vt@8Y7Ja0d}UYc=xGvM@!ooo8OEn+!4@F(_( z7|cw4Ki_fZ0nahkz@rEQ6m4ulxj568U>7{moo`|YmK;^C{nDeYBYJW2bA-2y?q}H$ z$LH9nau3Ee=xAemi?ns)3U=-%Qe?DZ{y;uiY8svfHqRkbxSStWHPQ{$l6h7p%V6Ft zzAuis#;N;XVo%|id%FA-+2_kov3<7u z47VrC&j|Ze`59@SAU~t*W94VGJxYGY*oE?=0ZIJ{G&4lPjWFw9Y7^z{#h{n=vpn0=?57s+{%Jx|Vy z<-FLwM$U)J`EUiB{t@^6o3 zd$nseHItW7CVq38J~2vHm(17hYzI&q96&{<@Lj<-18=QzmW+3L+J=Fm8fNu_HtMp?{M^Te8f=zu8!n5hU0jS zGLFx3oW*e-M=eLrRuX>=2}Y8OTbIpc(?gJqw903L@1EqdSre9BRUvTJ?*SnBYZ})R!2?y+)Q6df;_yH|o1btBuxm+Z6Hp0l@B<7~-!(aUtTpEu zXfCF|UTs~q<7v^5oKdQr03rTAC5Hk_N4IYNEjia9yPgHW;5OuD@z92yLH|=fe+1JQzW4|m8sOs|Yd^jVAxTO+J zOlIT)nT`vG7y`?hCAjV6Nps{MCrJD1w|+o>$kRk@K@jfUAPM#oKUOCDiYE{p|31sV zi{smL!ExDD2%;5HNtaGa3NMcQMf5KL|sIbN=hZLuu8N^Cn^R<)9{gBmQ@O&T_f@6zrG>Uza~`E4qX@jWG_ z>QuP)6Qu7=Di!7NT8dm@luMq)xu4MyYW$ubwKyqyinoc~z<};0viNO2RcY5G|3IRQa23d9AkQ zRHxjp%7r_T`T=dtaHrf*<&U}LVQr0UGt$m%RsJ7t`IXw5Jx=)?Rj#-b+PM}WI^}aI zU(_gV->j|qwNti0%5IRdJG3?5b;=e>*-R;mXlt6CvZYdXft0P#*4!m!_m#(ZGv7SF zA~ipLVEB^b)1Rk&zVCbGGP2HqwM*oH(-GNPRNXDO!1~&8i(OnSjF{B(wJ-6;Q{72j zNb_R+v-QVc17t+sB6mhUKC8HC&)1t%kvb+WzS@dNvnF8kePBNF%cS`=V-~?tg?>4IvnCX3e`V%+OLH%i&V9@hm@}_NI z+@G{H56Q3#Qi5$;^or-w-;e^`_h&7>)Hwq;#Q1c*gO?fkj`V48)_J?B>X`Af9AZryRti{D*EihXw6empJ8fDPKhY6ylxhl!17=7u_UfAl}JN8Hl%g(JUzg@kTghAl~jp7fKn3 z*DHv3e|d~ID8y@5h9CuVh5YZ zNe5<)d^i0fEVF18y6Go14uws3QA!leM{P2GevSCN7r;=sD0`kymemfmLeIeY;j^-= zx;g6PV~4EJ9cqQ{@I)@;k^IP6y3bmCp5AeZtk9RZD|81sK9~{1yoQxaWueos{4zJ% z=TSLr?@&+f?R(XJRjR0~?D8xXC0$*1d6sL@p!U!Y6ahcrXRrn}=cBU%=Q=~h`egaO zr7bT${dXTh#g7;WWYZh@+^|##qTSS9kM;ajM6GFfSX9a+Zgp~cSZ93jDKeB--+hDt zA(K>LxkM>lXm%2(l(#&MXe2VZz=5Xr* zzyKW-pU3**j93+$^`-G*Mn|)}ywlMxC=G|=;Z@#Ea-NFA^;`)~W%kg!M3fkehB@(t zgXkCL6?X6wPEJ#rnCcLurzs%=B%GMY{N{1e{nG|_fBfL?k5Sz(&g2{M4aN2ohIuu; zpG6OcsYoKCSNDr@(2(Y4D<>bN7njybBYB@9^45dQQTyk7+7voG z$g^v%em%KYU0!Yo{Ij`5?Nti?=pKe!Ug(&UUUV;|X6GOnwS>!yT}<=GZ{>55LM`J5X^2}hF77R{? z=kzi6~p+e|Lj$k)ovc&CG0e3z+ipI;8=?3Q3Ts61YsEAL$0t`6v^t$c! z!P5)zex$_e;&aUdHgTzlyHg5rg~Sv}@UAi^_|HiCLP&-!RtcS_&*O0vXGwmw>YoMZ zS&v=z$I>VNNEJE(dISo%g#us|r{}kxbPat`G42Js3@|lXWPL{PhM1k>%ytLFg}v=+ zn(bqnq1sacwLnMN5eD^U3pyHte{+;ewcMC3(IOPumRa9|2J=RVr7z=oq+GVkSGu`u zPf#=G0F%dRq)gIzEA^wAlFsu(b)A*sfh;INetL7VVLorY^c5NLk$!PStY`XNQHo?- z5=QpH#j*jXag(4m!&TBItCQD>qm=oApDi=8HQjWl%#=HTglHxu@*qNxgnO%$cs%4q zYDmm1Yaq;Gh~(g8Kgy#2LZR(b#fE;eC_pQSp;U=xk{n166W!v}nGX#~$zn~I#&%5` z&64t6CJo`ex|kTdnK015AXE6N?Ob;Y0hS5GeYs{rQ7;)p{*nphOeRZ=O6}jf_?c5A z4%RuKoNX|>nKqb_NJlS_j-D$nz+nSDcnm0revxrQ0Ha%uRzX5Nl0?_9a>`pbSE()o zleq$*g#s8sqyab44Fsp>+X+oDv`OPs$RO?7|79@YjJ^-TzV0RWl7G(45FZ&9G?$gx z!}MqJkW|>HLeEdK=02iDX-yLNfm!i5-4hdbWu+aocsc8JTxY zn1(Rn=Bc;hYAb^3NH$6OXuX524AhtbNrkl~pw;zAM(PFDEr3USi(}Gcm$)LCFIbN( zbC#R&x~~JP32g>pD*j!TUB!^YnAH5Hg=lU&U{hzRM2g;rzf4KR6n}di>9W z305-LCRkBsB!?`@Fi0}v*RZv5Wk zDKgAssT4V1oYzm1=}N52=dA^oGs`Ek0U(=o&s#P0+X`3bAh5Dh9;6R~>gazA@pkSo zJgBld!d^KKxEN(1y?mSZi%YK0T6BZq!*=ikECAjU;}FoCx_VzvpyEAgKsqJDq0%s! zTht1h@LG#`T@KA}T`lXA)^rc`mJ%^oAn_eKzpCsD{&JT&Qtl&xmo8P}t`q(^w&vNXH!|-3yMYIc2K= zdBsM>M`~&@?CHJSgFj|pNTC{e!NO$VBJQtMEFb6Y#~9hLsS9CQmX_vX6;+1JcNH44 z0rRe);n{+QXUYOWOy*Zm=}W9~Vhgl`QU4L7TfaL$H!`oEmBmfJ&`egA73H%fRL~rU zda}-JvA)VASt}&GjNB3gV^ezsTdmiyK4!{Ejhm^#^s(2;oKgLxj|*X^a&ZmclXZ}p zQT0i24IiA!P(X$0Iz4eaal;0yACs}Qut@SMsxaQ9J(qQSx*+l0V??MyrV$M_oQl-i z#S`@B(OiFEyB0bY9H{)Mym&3r#>sd+q z<`VSU#6HB%fEe-C>1cn$$Og@AOP^Onzm4F@Lhvhgvoo6h0}X`DV~Jg|w+CjtLIj77 zI3X>}twyS!L|Wt82rJ*^Z;foPQIC5g2GQv}(G#V(H?VzreuTvX;%v@bW6}cG;>a3la0XUfN4p@Q+bjbhD^t1xV>hz)ighUXJe| z;4W|8aewCY+)3l3im%GDuCJ^l##aHpCSYW7GeC~NC#B~ z-G7eQlK7^x0H}DAJUTa=oWj0gL3>?m#Hx{ZV&c*n%5>H&FOi`69qE_ojWO@`5~Jew zV#8ZeSG~fjUIFwrsvS2q{e&Vs$0+1mKL`oI>X0bhGm8Zv$#G{`RV*c(Oy*-TuVXp3 zu@i)#3j1Te$fMS+JSJI0qJ_rDHhX~zoDS7lb({k_Ni8$dIW6Y2fJEM9LMY~9e|Zd_ zW|*V8>Usm|>Vn8v|Dmn&6@Kkookph9@Din~-S}>(4~*;*HgutLQIQIH87?Q*bj3XB-ioM7Fqp_rrUJL4CJgYF@do z(h3`bx`;`Ii>X0SNOgOb?~c9fA^w!nVfj`PUgf1`c<*H4u>Hd|O*>@Oo)|ZQ!Ena!0Z*yZ+tY&nS!1{Gubv2$4 zTjm+TCDwNu!Q3y^o^HzXZy3hLVwV7&9d06Oz=w*!SC$iC=E(8$^?1z))HEIf!?%UvDWYSyg?*c& zZ!$^pHn_DW=rO5eNTn`z5LptXP8z!vk!jO+!n|eqiov|kTvr$J)3=Vs`#kl+5Z(vj z?3)Kah1R3)%SYgPrmDgtN?p!61ga%>x~K++^)K2dV7)eJ{#qiQV4EOz2LtvAWo*L$ zBh1=1MPC!VbL|geQ)MAV8WTI8Y~k(MLI5`aJK4IFM8L`OUKuO42>Z|nyd0`{nOR`I zoHa$L6H|ndSyP02M!hQ=&>jDunj$>ThDUaPxlI@m3EqS$0x2iN3SrrM_Sl>i!e%%c zzxE9xgrvj<0q#b${N{c47^>r2|Nmiwz=rHzK8umL;&AhW^Hky@h$TymFaVeyd>Q6Q zV71*}y&ThnpYi12+q1asnjOG0xn>8C2P!t{@qWkb;A<^|fcJmE>|n|#7#x5Q(G#); z2Ur{YQRYJK+m(=yLXt881$GBlzU|HXBF9Y}w{k4xSi*5PM>EHL9N*;lUmX9*@es#v zIM#8De#e`45=RBcg&ZM{t2l1t_%g>bj%JR3<9Lwc=Nyl65bhxFd5%kaym^;%%;C6! zV?M{1IU*d(Io5C_IM#A}o8$W&KjHWl$L~3EeBlB#1PjX!vpd)i!T-uvSm&@%t@;bx zRbpA?!UYBV*zRj?p? zeIfHtDg$qzwJ2o%5e9_hZjp6p%8N2LYZ4ev*oqhQ5M6>dgf7j^nXRt;1x+^}|@ zA-F~?^S0=jXvXGMig<cz{}f7wqdi!nzcZd zKH*iPXYtk>ek7M$t$S(F!Mz1XQ=q_s23p`M6&K#OLP=H48`X3ic%R|zG|*t`VN6V) zxK>_VJ+54~tG8Ks014#^@pWUhS8dBz&VGsMK?=?D8o9R42dB(xbM$;JaC8`bJ-<-<4kgJf znXW(1#xQ&x%>Ey(i%dOTX1&PR0)?1SiNvcOjesAsL?DrnK(AvXE zqWW>R=<}=>t|JVWq9C&!QA$mgtV--!wIP7wE1NpS>Mx`JYJEixRZ2Fwi3gWeFLItE zgo+U8@c!<;1Ast#*P~>rcSXKC)w+^SWQ{7DXw=bFI`X8b_Ko#Eh6%oF}rG zgr?8ySv_-H9Bn9b0LaE|3dnLkfZYKO3_v#r-f13-Pz#-dC1Um>QFqN}W=4w-A% z<uhM#Ujl#sys@%GenJhF!MmCJ34oBUI zL`hF(lVwKfdR5jGHA%KBOR_zpc%C4A;or{aG>6tyO6PCbfVdhtO}=NM;6;hQrRK2P zJEM~VEn}^NpUHhh1s^fUxyf5zk}}w|^}d0U1t)Fr5A0ti1_*RMpw|Ka-hB zLP(f^L;{FJ2{tvNQBWr&;0#RU4ooz@O2w_xMxzyLDa-&WOX4Iolj~GkxAs@7_O({6 zwpwf1+-4F<0;nY5f}#-jI~}c2YX~6B|NERf*?_k1`~Us?Nail*oO_n%Jm=Y;z|S<& z>;w~HW16xD=lHc}v8;VXob^|;mU<7+*Wi z(|F1FWMmeTFV@JaGoDtg^L(nqC$o6QEfZwUc)dYx%`)H@7>kmD2}_A4P%Cl}IgI}% zoRsL@h|Um%%j<7Dg_ly9X_PdBc3{+1yZL#KDr*nerbb)z z_PCr5eR!@v?~Q_9{VRRHkv7H@zpEpIq#Qb1F6NKaMXBbam7G#n06>rC`tXd3c)whXPxwi%#h*}clo`ca3FU<_Cu#;7K zqnfE03Wr~;LH1B>chcgpXTbuP+B1C@2I zU&!ywI@d4d_l!E%UGiH{=Xy4c-;s5$zwxWT6?AW+Elc8@O|)Z4oUy4veu_4Ui9+I} zO(J4UjN4QvKgVqnL1H3%Q%HUso7fl@v@IJm`Grz5{(*;I_}1KnQ`hV=M0xfO&$RHO z%($r2%(*^N&xGQ(<5H!#-EI)lfsk;pQ3t`hRXd3UqC z4M1XwfEAo~RSTb_L(mH*-q+v8Fmz-x?}ph7L~qx3CiAZ2l2URq>)VofZiXmlZE8*B zIN`HNP700;4HdO$)FXLetbb%i#>$Kcs%2JAOg&HLZIkACA|qaYcB%v@Hjt6bdz5!; z&Dqz&Id8v{Wa6_`)Yj=X^5@mg_=L60Z}(rtaVYgJ>nYW3B{E-c71$+m(!f4g<2E$>#%J3I#Ly zep&f2Qp@cKsQg5Z)JUDihajN7K_aCZG!HWDWLq4v9M2NfHmV0{J6^~m>AKw)It3R% zyOP(qg*?{;w{qI7RAPElgm|UMmrVHUk6}KM*ytiNn*p~0e)a9^M#Z%B4BVe=mCmQy z!Q|S$4j*1nC-`hz)T|hLPJj_WD!9uCOcL~CI`(j+sr+&3s1o_4kip7`r-Ue%`j=wa zEkIS3>1ozAMe**=x2Z)V17eChz3~`}p-$h#eIi>hm>8xB4|e zonmuF8qJ)&kz2FFE&???NS|O9&|2(N?Gg#7uUX?TgswQ921n}^ZVBT*p{py+5_at1 zZvs{Ld>5bPTw@=D{q=4Z6wPd<%kZ5n10XNWDwi>XYuLc^G@atY2sUe_(+Oiuv|15P zmb!xf4CmC+BC{;5h4XIZ#z-I3#DSBfIYEk0Go}t3Z>oNq7BQjB1Dh_O)7rLAE7*Y^ZRbpX;w;Nq`OF@rm!&gpM^YH6)jH2YV_bcDD~hbBg9- z5*ysnKR5CGA#-!fL^U_p`}Knf7@F6Zn^tLKS+Ga0LcKCQa^Q*N;7_Wq2uT7}^h0Us z+KqGB>1ukaeBtwap|(t8GL2S7rY+;^={3yTql|ha&r(waHoH+WxCGRhs_ZtdRucq( z$OL@?LW$#jC)~SCgdl;bJB-<*%=zKeD;ogRKC_$s353G!#viGxMb<#Masq*|W!~?V zXM>=;e~$ZkeKD(J;buIK&c!2>AYn6pMQ=p&Oig+$8p;$~?Uwaq?OYfaUu^P+^K`+6%wjKbFl39*l=T^{KJUr0dj?z6<4H_CHtZsQ#Zs|6jaM^?&$~ z{s(^%U(Nvdz}Fl_ad>-EH(sRjedf%hyRb&X1;2-0E&?gCOsRL{%y(Z1Jv#WE<4e(H zu=1y9rH;?JRz9F(jX$G6VJe3iR$AjVJeH$XimJ+HyN(wI)qQ-R?k9b99~r3o%fWSB zlG#{Mb&%DId1IW*P}Xv@NN&XBd99}B+$1+M6a}4gxmn*8pThksaVMYX+xy4h7al_E zObgo$;0GH>7={mcatz#kG~Oss8w496G3E_sf<5D}(THDn+y`k)s9i}eH+8zO3_G`r z)$7#DGqs(>>z>2J_8xNH{(#yB?MQwos1x2EOn~9?PjP9L77? zqtkX7ZDTk}^HhT2=JRkz{;65o)LEInom(i1S2tu=+2+7sDj_c=$EpE1B_0;0KEPhy zZtMY#)7BU3Ra>y5{xHl&y1F3GaNkv~$%(p$fU+W#RK8?v<-|UYC3gARW=p`HBz~)z zSi~805~>AB4*wQZM&{*LMrIqn$i)S|$h=(RClnRBTI>a3wd_nCSc-hKrPkmmz~@rw z7d;Bom#~LkP%h$lTt*HZ(UC^JV|9)T%tmr<=7I4nALqJ3t{>x?h|UWBq@=*0@f6UI zdYGc`^a)?Alksme+J>tQWjuPX`MZ-XCC{(>Kjv?eApNSYNxwk=9m0#Gk51Hc_HrCE zhHhufDvZuVAo3L+L8QIGj@HVykwa;b9Dv~o&+@#lDRXb+><2X(eswsX!6_YS)uvt9`jiPKNcfbo`ojY%1z(6;ctdr1~(JQNn2pG#5dn9@(Gy- z$$!HxCVRD-Aoc98j{b^rkH(SoQ8RYEN_$|5jc@eN9IgJ9=4kcFOZj1jafdU{4rzNH z$9bv)s@*4OSJU13a;#+-V~ebogvGcG$XKiTf^t|GtsG%{M5qy*;BB-TmvdOBEcJEP z#gtFUT2|uvGDO~#*(YoY6q)iU*@qK6$heMIZJf-Pj5*SVT&dv#&Lg3!J)95JEEV+i6Pmp0SakSzi6FNgr>@vsm1Ok4iHpAhFnpxroL1 z`b&jpKsD+=8IH(?MD`V!fc|#9mGe4qTuoV85U=hSrr^zKN-*{@ubk_%iepNce3b1h zGL3J~S2!v|iH+(S`C50<0;Y1!k?B2x#ykd&d)}2+l8EOi%|UsMxrd|t*uF)o`SL&fl2 zy$wC|kOGWTKz4MlgMQJ8`Fyo9-}nU&fkdPpK#R=6I8)Y*5eiZs+S_JK2goP_%IO=g zn=u%SnSat$UL!#^hmKU<^s0norrEumP-V@M{-@pe`)FyG%DQi{@!r7A0;6N#W}(qC zaC5z}Zs0~U9v`@=GVUL^Sz+ASe-o~y_r{um`zUi@{Dga1pVSmE)l7l%+rf)~hj`87lHcWp__9pL5H#7ZYqQyH0$j)RW$kXY|wr`Qtp+roJPbC%RY5?VuT?` zjZy143#DzOB4Zetpi>#oV=~eFz7FY6$B{3ZG@x;*>M4SAo))zjubbqP;L8D8OwY;b z|57xOZd@oERm{HvqlG}sGG+;QgYKjeSBr6{*@#<~v1EXvLk;GhnsmEne2T6maH^iO z{^?ZzF*-~)to^Oxv;fO(e5U%`n?h)b&QLw)zoqd0 zBqT%^+bERt3-0?Unbct;I7HS*cTD&*OD(2tP|c>jQKi0Xa6FU~2jZdlBlbd%^9jqK zfGD^QYzboRHr%;xB+}O@&UMXR{y8U7h$v<2qGp|kElWo^*Ii_V^-YyPNbnxVImrw$ z8lvV|7?nv_pZ@b2ae@lLGP=&(E>xVr;ucby%Iw$(DXBrqlhtVPp~YR_h)ST7;*{LExExgEqrTc>+D=BCTsew z99o3$M0055Fwe9LyVk9RZOObkF$e@2m^XHDznUd=4$8Moyo2^n#r$$zo*T?(-%|~; zJA8F!>zrI`GH*Kf@+FA-h<(qI=wP7V^To$3@?>Ey#%qKV>sGXpqP zxPF*uXTie@r}i+TE(pp?Ec6}8v^1d@3>sW^3u-pe{j z6STe{nRgSH?Au(}=12$0M5ae{qz|Xdaf*i|U&PU%$fqwwef}Z-ZYkMb z&hOCLn6y-iPGDZHjp8DCCohie!}W(h4KWKeT_TD&#!F0&doCjo-w3pU`oGAWJ`tPn zqZ}i$)I&th_ZQa6Bq(p7qvTKuE9yjleOuuEdXDe*j4UOd4BW%m$H4WWaq;`N}QNDIiPkQVzJ@Cz;H`22Bfsi$@*X41EFD<)zA zhnPG+Bx?ADn*OReexaXJI0gtQz{aHC;^8inl96CXjH4(;HgEoJifm?;2FT_yb_?1P z&1!rCMoi|dr4W?KCV4EUjh39;z$4X;Afi0u0;uj3FR+FhP>Kn=?#Tzmi_qc-Tc}3U zOuhikzKT=zj`3IO=<`Oe^;dV`LFlYUk7*%W@aGaG17AXA!4$UPpO9=1&j#pLpNMHb zeuPBuGIm!`7Gh~$X4w}_pq55!;wBFk(ju8Z*@s3TlDD8a4G_e}pf_EZd~C1@F|`Fl z>2}FwllP-1(kwl*Tm^wmVqU#fnO8qDUZ4Qf{|Dv9@U%5SX2{pXaJR%{E#%V+`81z# z-W^S$Ct~Lag3=haP#7lviu2xD;@J|YDqyFb8^zfQ@2O!h(wQ*Qfy;DX{#xUHMKkPD zhw~hBdy8Jo1Cz(ngL#UT1Uc_4z!*CLDUFIft>w(Ti(IsGo=M1N!~Wiu9oJe(KK_z^$Y2rl%HLnKs|3;<4L zhXbCTbi&v4q-TnK+VEuFZaxLfoT}-Yu}wRh@d*~eLjzw8pPt<=jv8WP5%zW#HKjLt zJBc!cYO__DS%ki@1|JseE<-Wh$QI#8zO(>;axgtuUhzxE(65S|xq$R1Q+u>(_S1~# zUz88WWM8s9$rXh*t{lYa-HWV%Ffp=?vugc&UA1wYZ?$^&y6W`TP?#MrS$wn5KHHHumt7%=>1tpe%zqM!vM)x@?NtKcDiHF&7Ah6TWe8QK&a9m?4e36K95c zZNbyzIum`1Jc9n+Tg3L@P;)GMo?cROIF2akZSH(|oNN_ENa(Q5*>I*RB@8~YWXKeu zQIM1?Jit_#ctA-ej9q~K)ZI{!`&dqn&}_wD8J)EFSF2fM*tyDJHC3{s>N@wj|vW#ll&_ab}{K596?x2OUcL|3RJuzihSEs%$9#%qxZBhPrky%~ZzOON1 zSuz{1xm^mx;X5>^cNb*trhAq0mQ!_`aricM%}&qxkVBamfl9rU%zLDe`DH>n6FG)t z?rpPVvpPy@Ge~!;aE`Ji)H_*)B|i@B&sjbiwW&XnbC;jY#=19Vj|&Xd9mwYhS?=FB zg&W=mc}wC9{Y{dsK&kpVjlg+5F{_Wrz~XCgLF9yy^CI@Q%W?zfF3G5jTx^9fl~{ZP zb_aNR{be1?+9Pv65A7ehykG;or6n;%M*kU=I?Hk~hi#SKzo)zHiP1`O6>0Lah@t%> zB2`~G&u6y8-JONx@Wm9eAD6#voJV8&HbN+lqdbb^i@6Wyn}`mSW%+mfcIcAxHA!Yi$ zg&oC77G;xT+&oPoK_R36i;fXYQcxU2JwCKBm#-|uOe9nw7Z?v}`AM_Zebf@ZDAm7^ zFF(mrnu1;Ay2y4<;9t@0p3!}0NxyHiY-jW;^EV1yeyLSYnJrhLHfCh=AuV#+7YVPX zPZX~9hvrd&A!Cr;xXl=K9=7Z`^G5SnZ+C8r=X5*&GH-P7Yr;zObo3S4KU1(N+McpQ z!Sx!J0SdTNjDRNF%`Lr#fC`_O_;Aw##vGaZxRK5=G8HXMhH<}8WJ(hjh{}LPo31-I zJ>=wZC{|)D0PN^spZ%nC>}I~1cuIIRjt>sBe*PjV+eifPZ-+gZx+4#=BJ8m@r6tng znh0EsK|~Me%wj43L104pl0a_xa%aPQ9$+;>HxkY^kC*{i62sc8!?+0lRAL}koVCS$ zR6?;$Clc*SDJ9PNA;D?xwefw+iKD4|RPTYPW}H+m*wr`UJRvPZW6QbkmM_t=z>g z30xP7j|g0x>f7)@F{#&6eVa$$h;g^6YuM7c&P_%Z*`{reTcRkj%eWnpm_Y#OV2N|n zQv2{kmRuJ)H!ZRcC-{k{sWUODuP{M63}+%&wUoV7jFmEZk{z}^L(*i1eoqvAxJa_C;3UpXBXLU_jGWdtO1HmxsYoUe`ot!v;FtIy=*9rV>~Az1WZoeR6ngHx`bT zBy1YrfHt;ot3z?3ymzCKpFGznRsK`QsLPzHGVE&NI`wh}R=S+NbI@@o-4;4WB%F{)(csCf_Q^~X3q3~WE0Q;wpNKZj7!7ie za}j=ICqn?LglaFiB0fF`Vf|zbWz{Wb;%87oj%%k2EYa*4((Fkzdm-oy1D%Lt78f); zn;+vv_L8(ZjLJpvj%=D@5~(Ridf$06*e0P0VFKKk7#PM4i90K`FY*%r<00xPAwaz% zvWb{;hYBSm(Nf$}KqO6agBv}&78Xj$d?;1Ri++iNpFSkcQZQ#+PhZ3@W}9w?_mVo^ z!XjaZ>QlAY;>o;BHOFG_X>MIJ_N2LG;r%y`6W%{Lc}wc|FX~r!Tvo~)CA%1Ba`Gdo zcYjj9L-v#s4B~a4_dCiD8oo~)_t%K?+bK+MIVM$1?i7BQ+|&8-MCOh%u0kL|GCP^2 zOEkv%5Mv!OAQ`w@Ms$aoAh`u8-l67DZc5l9GUy>gMmS(h8a^;lipKjNOw^}i1sIPx zQ3{WwM4*l~m(61O;R^^&6%Z20T+DgE7=IwgO(gG!{6w_T#w{XuWPI5Q;tf5Eeq{<> zvg+5ee+D6UflVa|kWE*zN%pH2$=P%+)2j6P$-HyuAlr424jEYf3k3w0m0bv)2+?2x zo%t(g51sivKXm31ej=L9_?(SFiM|&4=vxlwGhnrypnnPS0&Yc;i7+%hnKwS429$pa zED7yNk+NOET_!`)Z&#^Awk1kPWzwK8eHY60Imjdn&{9}7;UE(7z)f29L3+GTq~*F@ z%&vlIiTS!)-2BBOW-Ms_9rZGMzj4nw5b(^eJqZ+3D`vjv6*@1OcQJGmrJw98O?QQ} zyI<}@g}s(!OX6o{Pr~$s!;B{SvrP1j8`%x`g>U0qA1D$@PRtOW`3WfNGK~_N6bGA^ zz%4>QD`^M9k}F0?I)9OLv_UJRiE0Q*c}Wr4pshCt90>OCCH z7xu&pe=?|gJVF}{TUIRemN_Q>HO;d0QkW`#ByX%JHr_`l5H(r!>@9SpxyRd1Kchrl^TcAB1!DvnD{7mi#82W3 zi7doe^LHgjWbPIyS%Qf}R`$owS(p+Q|BwYdwy^l-`-TXM@gcvE0g8C|-$u?keEKm2 z#Bucy0kMjlCp@80F+}b|S9NQk!gd;&K3OC!%XuBUUMC4GweHZ)oQ_ zm{YbtSkO~TVT&~|#<-UYCGg{jGs4_x$yy0<;_g6ND58%y^qI_IKDt~Or5#9JvyY`b!I*9vFl+s z#qK)tTT{(CRSW;cw5$3A5l-vhGgFNNmvKY9F@$QMqW~==(E2VSbRm4 z3_hn&fbVC)QOqIS{u*Kg_grGDWEhviUL;0pp@Ut^rWik@iT+g`IF5|l>J>cf71(H9 ztgeaRlJf+bdb|>$H3U4~pc?`nor#xCe5ib61VMf8h$v|lNbjn@3>`ikoZ@NqxU8Pg z52jhTl7OBbg((1HwI5lR{>W$FZvlZh%g(+Qtgtjgfvx~Lb1?N^v?3FLsPUS@A=(n_ zCye+3I@i6*Ov_H3&H-37g$@>nURA! zBg|OhN)z_vq%45f)>OBWd8ax1cJ3`BWaopK9W4tbrLDkACf2|C(PLr#+G{#p zhorx5q2e{+wW?&N&|hT_dIk2Mi-?=JRMF!mC5CGMq}kofAv35||DAKY5FG~(E;hU( zN!Rx$^X{TMY^S_r-urM$X2&w3#^hww`LCCFr0|J2+cO&84l!@r^nesJd?x&U*h zsBtG;h0p~^jzx1^dF+sS9|L(uX^uP8Lz6I2RxACK0r79nrQLtm$3Gy|JvQy~!q1QF z<9*=c|J+BeHu9b+emhI^#| zSc-x`*J0AcLYu#1UZOe-ZkJ0H{WqgKD{I*id^2~A%O<@=ic{Q@mK z(|CXniKs(=i*5Q-q6&u3&jkq4BP<`YZ`b%}s4ElGh3;YJj}F!3T9iwf&h>U;Q>F(O z(vEQ@EtItd*vqdORnqO=!-2EpW;QokH6cFFp7DD*iHS^hFx{9UMF>lzBl$S2z*(lAe`YvP6iZhgg3%v5>ecUIuQ zw!`n7g^RX5OYG1_h`>02qaV?kqQS3xdWWyLlQO|8eEK$Zx3v;}83LcdUu@a@O(1LYp|@fU(apWfgUBwL3#5gQ=0)sd#h*5Z7zJ3iB?-3K5&W9= zar0^s#rGY*Gdml4->HJeSHiXw<2AlTI$BxwPNj3!P8!L=4=*s9PkK4vj_7XGM}V-h z=HPN)F~n*V%7gCG9_f4h#hrfJ4(aZs0efOH_>kr(fWgvR?SLko6=&>biA$ADXJdh4 z`M@cXMx`t!oyA<&ww17j{<19rXU$sm`N408F2^gnmT6^(F@ma@<1?3j z(BMQ}H!!|z#wRnczRzl@1{j|-z`{8jaAF6-cQ8y3tIxW#`Wk&B*(Dtz6erMn#QJ-j zK>+|E>tsl|6bgRwZ^kM>CjA{4S>X7TecdtpHCR>$5k@$o!SQ>lkd{40rz@uJZispt z$9eRFm3pVs*9%FHi&|vPaDO$v9kJ!Orr%L0Y@R1_#mORkN*#8Rj;>(p4xwekmz{<# z_^#c^wp-$dKqy!OZ%m3#DrQX6CK28(=4_~wspq586uG*EpVlx5<4Ke!+_||FRR)&` zyXp%c;@aB?f(Df%jE7z@uz=v$4rCIjA$||no35pdkm}U{xJY>FSMjvzjzR(D+Apoq z_Z_vds>aM#Hx+)!tIE<7SEaY6O~GBasa}=xN2;yUte%&W@Jd)88lDX$)FtJMN&w1b z_nO$p4&O!&d;W7;LYp&u4e7yrZzGnA={^RxZ&&5`q^IuF!=fFtwc5_~MFNCAB08a` zsU>l)m}AM9y{;>Yg7BH!jMKj-E^)gD+N_AoMxr-6U(*|VDaq_LSv-yQ!pepb&Ywv@ z103)=e4Du7KPUMSwqiYWn)-aR^kAn^NK3 z_{jKM7^Sk;xjx3Eli<+U#rn_-OkVtC;Y>D-jLh2f*xq1ftF?sasfjOqWv>KA)E+1e z+T3Yx9BytLnXn!9B>C_J75n@(eeX*$Qz+MrLwMt8Hd4y%PB_%V3K!XPoZf$Wq8}4F zXmgdf@pOOWf;4(85HVRm15J1Fb`a6c>G=K%HfY$fp_ul-zIeDhwdTh2t)9kGt!}@; zysn(4ZP>o=;twDB&C3Oq;zYVHPRx}I@zgbAu0-r(JUD3ls5u{Mg|GuaZZIA0|C*Ik zwGG4HdU)}SthXMPTDDFqrXNueSM8{_sQLau6|+_rYa6a(&&q%1=b)^Hd@fb1hg$Bm z?ViTWipB+K?<6rn73L%*K7ElJa}uEZ!vWpEk#wsse5>gzTh%Abm7D-iDk-_L1RX|@ z7o40rJc8 zU0!{2EAla5^-bBDMNr3l=~t9d8x_MdUJaEgr^HQF&{s#$?rILqyib^HL%&xWM3$&% zimUXu`<)kV4n>D)zv5h4UMbk9k=CC(nLjv$bunOHsCpN$936~}9B&CWl0Go8{cfuC zL3A}KPP?V{`NCS7p{pqL0;h7&&74B82*QB!{nbQ9K6qD(fJ9Qy~OAwX2JeyRh4g8UH0ww9g;BzcU-LdN#Ej zuxl>(XD#$4amU`%Y;SADh>N%R@So#+Jdb_!mQhARO3+&a7E&z2ytIn?&jX;E3Qa#h zv({A-xYVnkZ}%V^x;ewMZ&&MV>l6f}*Q^}BVPZq#BF{b}cEF)G$Bc=#4$H-90J;}v z>rihN1q8%ZfwcYtwnfNAZBefUh51S{vIa-jmX;76H*%5HqqNJ$Y5NW%8;(C9>Zc=x z4%fVCQin&Zv1kznfp~9fsziXK_klP|DDbVnDG+Xg_nRTW8V<_KG7kc21&pFvcv8Wf zfVRLfPR1o(TdM*{rcc2+=kHj68_A-8^|ISiU~MDgo0Kn7&*7v2=K=sh6m&+uf{CHv z+o$e5l21kq}vAgU1oJBUB1xMKxPXO`F%6B$+%9 zf<&c|qsUk7AxhMCR(Op&nB&8wk~IyAoh8vX}NFGr|-zgBeh#C?b++RIv3r3qiX2g3oJ_h-@*e`F4pOK+0Wd#W)?HQcgEjt2SA2Y&~( z2>&ju^dJuY2*1ugKK|DH%J9+x0#ytF7DN1qN!xw5+FdDpm;#moPdH60mNpi6#~E7 zYhMM5DI9B-6~zMm9E@FG5PjAl?8+vU_}|JT!6P;aL+vFX{)orW9}`B?$NHY{BWJWp z?^HNn>h?`~7r6+5e#tGb?Mxu-A-#Msn|w-{&by-VhZ(bRJ1TZ))g_WbNl1vOHfghO z(#t}9gnBcVWo)uiDskab$ey+}TC^V&9~wui<5+m!ZQYfw81Jw)e$50ZJ!r z_VaqDfoxXDKmO}p<5wBsqn?vHnwk?uGZd4WEeVz$_LrWw@`1!%Gel2F2YIxXN2~Ni zEr!AZXoJ8EU|1mXZgu)fu$9!_P1!;b`+%r87&0I)-XS5F?og*_Pbss{%O@&vV#r zE^`nMCt-81V=LdUuvt$_rnBJ_YH0cxljJZ-CPJq}I5``($*X>XloFl|+45*o3}xsR zYy>xQ$A6iS#5-<=!Hxwnvu{tJ^=lSteBUl@{1z?r{?5f;p{`^$DMP4~1C zHRU=v_VB7Xj=L$62b+hL*d5z^$!%COzlqB9`C`mFzOveO(4Z~m*Ru(J6P;aKZUq~F z!?75-H|mYpA^3LsZ4jJWFVO8R#&<}g)18Zn&TF>tB zyC>aW_z)uq#XZjY*VKjGSuduuVv;pq{u~#Ik8{>PW4;S4MW7Ox(YF$899ajsm4gCC z#VsZVP`&O(NF&)!Vs21Sska!bkiaSU?yF2GsSFDu6iurB&^jlfB26smtMI@1S`zzS z$tq<+%>Sn5naYY%9Z9CW36=~;fu`}AdG_|7QTa6rxuqgMx?wtWLj{6DB(@`%Cm=~Y z0a#=#VJ+dYajcX8nx23yGz<)5Qb$@Hs4BT;S=Ngp&y0VUBCe~8@GC}ZSMB4Jb*`6m z7n~frmR+|$eu#~EHXKW*h)@Yg!dehFT@HgVqU4alTjouWV1<0kt~cK_%aLH!?%%2h%Dz(Xn&8S!7MOCTT(BmZgIsvmguxtT<7wyrKFf!@kfB-}~^1V-y7(dc7$ zfuo7+I+=(9&Nz=EAOWtR0on ziQILUcX7v@SX$^w?FYTJ2f8Dg0~0aq(anJWW@K589LK02(`mXw!pc8e_z=}VluPLW zk#VtkKe^t@s^J&V3{!*kH+JkhRE%V<4b53`K*m?nb?xID$8~*l}Opqic`1N zV06o6jNkO|aq$U^BXXOiD4A4e+A?q50gGj%Me;JPiz*XMn&r2ULri{)uq?2YT~eRF zgoHh69LMj2aoEX0=9`3HF+!3AIuF2jo3Wi6acwIR2fhzpgZ>n(aJA?Ao+}B-rEGUh zeL0(mCEE3iG|L7{p>WZiti`U4A_=lJhsrF$IW@??pvMsvZ!=cNH>x*S=!%WplCkB- zJJ&bIy0Ru)zJ2gphx9LuiDm-ChuE87_*;eYxFUW}m<6QtMnTqYXmU7citxVfgXE-S z(srD&gd#E)Gz7z??@}*is}E?2rzK9B*C<~p85K}pVB7*uMtx>qK2}Cr$AM(AEOV&L z!(z2*s|gcI^kp~g$REpWpnCc*pDW$EZqfM#h}a=#*8e|RMmKfM{B~i4YE2lliKkW zN!ws~m+Rr}GFICGd7_2>LGrHof>Dd#BgmK52`AkW7f(E&ehBPXocM&t{W-5smA-S3 zKU-L9FYV^4M(k+S%F!;knG3_% z>`85$Fzv<;_9#gG9-QZK0Z)6n--W}Zhg0@_ZyW#3youY|L-f#W?d2TRI0}l$j3~;y z#PQ}wpG-Z!ndeXQJn1+YeZzo%+z-SP;Wi*c3!P^Pj@~F*B;&ew``j5`-9fXu6IcsQ zV5&}No1H6Aq)B+6@bI?T1#&0eis}h|4`CZcq!Hf9PvQfU*e{X20>eWL8J9A@)@MQF zz7sQsiD_E_`T?1S^q-p+ZEM&wq3QxUMbK%}x-Vr5BX%anqL=8E>5bSZWM9hAvfX%q zj>|qQ5l57e@@tVjrRHseY&_@scWO|7z`h8!CS2nvPK2T*tk?Q2&h>U}QcL3WsmU6E z*)1$(Nex?~L_Xz?Txj*`F=H)4Jm7}3;(R61VV+qob8xbMnU+4Crt&hb`>a+vs5^dh zQ|j2M=!QTL%YhCYrrV9%@#cmrpSoM|Ny~F^BxWiy>CDZEHH10r(A#3YnI3gOIM=ny zL0)=-wko%=GFpL*%iXvt)_7HOB8!V?g}$}%s+d^1;Ww&cpH#3DD zb)h_eB>P)^2*b9&QZAX};5D4#-u|67(B>}(+FWC{sn+)x_LSc5_1ja5zD`fs zQaY-BW*SOFMstYRqvV>xfM=3%(q#e=biw@(@y&z2nvl%1^9gM5F4`*Y2F6YNv{{5A zGi@xl@`YpCSh}?8&d`Cw!5pKkze?gpY?2m~<#mR!x~W3P<&QWvH>9jglvgsdAU2is zNNg&Ri*nKdGFALbrS$~j7pUV)PC<1hXvQJPoWya)jxBwCGi=RlQ>>yw60u9kG6rQ= z(jwPCPCSDS20<)h#E@*w@B%1Z$J#}GTVaeiHiRo)@>fGMzYPSg(ZUsvVs%rg|HBtM zlnsR@n98;+JxFk`Ut9yGPQY${Kz(K;+`Y>FvUXs+z zf7Ii;r6`!q>1|wJE=Jt*X?JeE?#m8WJ_p2wZP?5DORs&&8Tu12U#ai$p_KQBulhoN z3;)xKJHxB)@;ncgu$YXJvmwF_horvGADO)Qj|Y=T(GJbz{XE+p?@E{4uF}AWWU~*S z)nv>UI_y~aITVod=W<5R)9XKzGP9iP{Jk^JcfR=hlO(N@C;75Rf4R6hT=A4&uXxa3 z+^ST0?an(f002nDKA?C{2u^2~Iyce1MJ^shlpLYX`la+zuXu`RuGJ`szl^6bMKB&0IA46SK#ea_ ziCnXifxX7YA{MUm&c9QH?>(i3gM0NhaUwH6)jjA_Pw}a}>QiytYt2t(@+qHA)v z^&hvzMStOsOqlWb!Q_Q{eL{vbyUE`>qbFt$oHV=1+dH$dB16_Ov-bUivm1G1(m%AE zfs)O+ZiG*tg#b0PW>#srZ`GOp$TF+HEcl=^w2}^@^-L9qP?aG&;OW(f>v-$adlKU- zadblb4e==NKNcfbnUNpJ@PGi$4VU~W5t1016ZBN!R6D9de}&LScTL@)SFSg{oGy}3 zV%<9HzeCONs{0g&#B|@se9&2PRbKn4Pk$wuH}3C>HmHZ8wMd+T`7hbt3}0;bmIm*0 z-o`sDjql6~&Q#u~ApJWB8j868NlSOCR$h;rt^9=wp;h<6K?rM~BqcUH#>I9`O~L&< zQlO)=8!DfRe+D%OiMhI15~)UV+8;fboEI5=c%FWT+KaQA?B_Ikvt}j{V7F@3uoTgi zd%f1#_QdxDE{l+C(^?xP^-Z10(9|MX*-$ka^2YTN zWmU$v^y^ZXsJ_t68-Mi*C_t^{;Ji;Dh7_be2jv_%K8DTQT zmu+4e&`>41wX$!P7B;1`{^eQ0VaYjYzjKf>DhExUe>b2N&8Fgm1%ernPV88D)vx!sGiGI{4Qpm$udUH zWX|G6C^jVm3f}R@nun4X`{v>Bwf|`z>eu{F=D``NX94=>;&h_XYN6INq|RBvoY0)i zw3;?s4wP9-8VrJB1DKVWsabjTn6sj#rUeFpX|e5QdXjk~00St5Bj@I4GB=w(KE~WM zz@rPj@}K8M3Ewv?rcXxh3w`sm=bHZcS;!j&C&+r5D==6y;pCdt=KNIJx=CH50$%ii z$~7ja$azy)*6IxHklh7wS>-D`y!15Z`V4$M%_+*N@w8cUuwIR&)p){I`4zC~O{YRx z`;zSfEE0ytE2fpgX3FVYkyIu(SS4AzzSNpR3HpMTHQ)c^ctvL{o!H5Ek_!p;iJ{F^3nygK=n`q9)^nR|I4> zgM6Ll=qmM(eX(!xP7?Aj`~6u>-uVfGe|59OFM3th0OW?i(5Dld1)jm}TDjG=YQ8zH zz&WDanV`lLqN21d;VcpV((E0gczJZ_v%67-Chi*g?8;t5rz?dw(EVG{@K>rNeQ#s&Rxm86W*73wW!r49E z$c3a!+D9Y{VBP+{U%$jCg7gaHAX?6n;4y~Fo^aG&W4I1p5V6lvktz20%DSDQ8-XFu za{?I^kwxD~6#CEs^lk+_#`T^9rEF(#v`;cr(A2P?ShCtZdM9=WI`)(NnGV)(_hC~CnUu}5K6 zJKH~?huxo>?{oOLfBg?|jCZB~z&W?d?Vy?&B!7NYK=2?wg zC(x@L=fnJ`cn>s5#Ew?^er4?d8{F>~q%umVv*d`i*Q(>NEkC>eAiUW(l3WmHAL%}l zUF;?xdk+eEJTEe>ho$dUOP^gkU9Eh#x$@nz^4VCpacu4NyubpHDr&zogjn9vlv%r< zHGhRmEmCEz-JcUY&R5pCv_P7W6;ErmWhESq2z#2vnx!nZl68IrwX#NdcK&rnz-fou`nAn8RWi1HGAz!%x;oF`l&C|%GjE2=H#>5Ldr-zshc#QtiwJSSIEx`;V%Rl3dR=o|YIb^)a+A@oz zx_&$UPX!W?e?^W0~JJ;D})jppuY^){lzH{Aivq*+KPHsgbW^6;A z*k%zCF%pn?5v>!G1q-6#D9f?ziT_5{K=xE060OwlXpyzWtb2>62SCySH}ICe1L-`B zlIJWooo=KpIk^dqn^YAr>qEiysoL3F8ZT)tqns`HpUag?Z;E#%a@vrca}u801JBee!szl!WG_G_dv z;<=G37td-e0YQMlz zhZmp$S)5OT(gI0g)@N$SS%BK(gOrC}iSb>!5-PA575t_IWrH%?SNZj82HBHbm2%RH zvcZSaU*n7}Av$R2TYk-kj44lXOg%ls+w5mZh!vTou(J5#83@jrJ#~Ut)-202ew}LO zZ>kxgZ4&Dto=%;mBzRiH;iZKX4MtT$80rHbywa?kaB|?0nUZ?=orI}WX4F`SXdscx$=w7W-0<=xI`=`(VIGc<0h1(yQ76pH|%&Nbn+vTkP9d$f)$OIVr z7~_GzA+jtnp5w=i4imqN_Z1BvIqL&lFjw8KG-t#0Tq6w#Y==J@P`9dD$o_Oj`M@z%4_|4c695<;bq zinJPkMzAV*C7Fc@t5NfKo6Jrsi9D2F%iOT{%MzI${jg}zs?0M~jav)c%qHlb?wKA7 z`~(|^MV`it|_elpRaiJhSZnA!XV5k{+bQSp8%3U>2Jk(T%tvJJw+mrHOaHE70v)6%ZXP z9`h&-ILF^oh<+gkw+~SxEqH}`D@1_Ue06?KWE7ah@U!YxDb|vC_o_<4iOIb3Hx;Uw zL5NM|wYAM?0#WL13jcz1q>V`VoWvZl@6m=dJsylE0 zgge{wW(V-;la=`h^$H}wPIE-J_x0Xi-4>YaM@aG*Rea!=PH2X=6jK0!XiCpgX@aYJawmX0KQ zPf2jNbNy?c=LDJ)>7M7(hW*v&<9rqfgAz7x?F8^c$8KrvFFm*QqF$RGN9-d<^ z47CFzTGOWZBbQsBW3O2Dk)@Ulcs{IH^;o68ZQnO~d+5Nh4VUuH8(I9e$9X<7@s_k^ zPooVKkm=X=$U*z6{241oYsRX-B$LWc9OcKK9%mpei4$5yOvwMka2N0;w_vr8=^7Kh zB#z__m28QqWU7nnlDLWRa+uFZ3fhTc zMe&~4WZgqOT$4p@O)4YS5rV^YLV6H=#0smzMv|Lt+vf;G&Fs4)j8mjxL2u#w#5jUA ztEfip#(noIvz{~5C;Z{_%r05!lBr~3KGo&~nTfTkSY|@mDw$0IJiD@w5?vf!m88Zg z*<#98vj8tnHC97NVGld{cSCYj|ciP*f&~r=ngtG_48Dh zE|4zyQeCPkJ?;Bum(EIci6@%brLi@k@&!Zs^zI_nr%8kQw57jK{on{BN{rLh}d$~ z7kfZ&VaiFL0_@a;CkjAd*3J19m8F=L0viz432sR@hPw)RntKA{wX)V_84A=B61GDO zn0A~bBMpAX?9@k?Z2hl*BZJNY9O!>V+E`>s*@STowe=>%gSlVglG~Ye>-$gi#s4Dz z3kQB*{+CCR$$|VYwWStfpP>tr+{0gy<|VPyUmQ#M+hL_-AIJy8vPphoNd+@pHFvV? z#d2v*uIN%x3#%zVbV%utt2EuQ_W}^aR2EPyRo_v@5XPfVnuKEuzkPf6>)$KP_0xSV zNI#On-Ppe?{i)a!ijzcv5K}7XT{3SGstTr;fOEsPt0OauhKwM8*c@l{P&hYuiu_mu z6FU<E9ERs)H%jhP(#3@YDMLB@(fugt|yj8=69zW|${49f-HkfU`N?|{63QwPW*k%O&4 z7vh;^a<1*FUDYf8sys4EL25d2^{$k(<5vtaI{+`C-C`O0?J&gf!!7oh2m#~GM?xMDc8g7t;?!8YS>f1o+NH*p^PA7LCI>e9xdU<8vn z*A2&(B{%j#=J3w4ul&vmQhDu9*_0aPf!D7J8?k-;{!L zRB`bphINZOfQoT$Ja+?M1qkCpMwsh3C~ATkH7dDBVF`vx@T!^UCj$Q^?5*yYF1iZ6 zyj>PvlRrg*B+?RR$fnK#8?4pmsCZU|m}YAsoJyo$+l|u`Of>K&*I&iCZb|&N`6+`> zK{)b8ddyisPxTnqFq5I_Ygc99U(x<8htWoHVPg5mdvGQM-t7fjiAo+xDsMwm!aAD|S6y0iWsE?UJC z3lZ0Cjoc^;xHVjObZxY7IZNd_v?6!7^Y-h_%giy(+pjV&?Pbo}Ns>bWSGn_cVvkX6 zaenACCpVJq#*~B7 z&#BS?>s%?FmMV=ae5Y9&do}&iY(U)*5wquMYpbOI`5q55jfZ*CYME}{+Ksyh-HtIt z3e7q2oJ{|VvQkteD#?YTZQEoi9J;wyKH8#HmG8yNTcY22ZQBs)4lcB4>owkD#A90# zAR1F>xTejLg%AnzkiR}UfDb=>P+FiU@6EONeQk=teFz^Y*$GsV6WC-TpgH!oCxt^8qy@ zp_koPBONBVfaBmc7>kj(hV@nb?9K&Z!ITV(~1*ep>UP zaUck^U5j65q_QM*t&3|8*2?STRB<*e0CVudW!#v0FvomQVCbm_=g0#r`!*f&RGFedYZ77NAZMBeT+QDq#>v2}^vPs;8Xy)~8;72DZ_v%V<_2+cD3o$-qdxqQFLjze-h2 z*j2xZdwm-6 zkMYI!<7I=DmT{h+eOW!*&JVAB`{F+3bUe77tuWG^#hqAM+?*AeTkZ?R%fs_<8!sPK*=&?%GyOIs*D>EdgT4)RNzVQ+kKRGJ4{0`2n$7oxjC^b= z&C-N@rY*R}zP6O@g+4ET!(D~GUt(C1?Xk7*i`zPBHHAPIHD?sJ^X7!`y!^zaH_z`Y z9ExQetE_%8O>~4W&SsA0Mn`5%4A0Jv)cu%c3eOgUPvKV*w(z_Y zI9_MT4p21QAU@y(*a@NE;s+t?ZhOTd3DP&sEIGEL3}S$U9B<6yQ&Q z=WEJtcIs}na*6R4paXiylGD4ys1p_zs~W5Go)$0*8&B+}%eF36xgsIm%C&8z*tULNCp+c`~Nl^e|V{Wdo7u@A-T#C!l(p>(*y)7+>dzc6`CT9k(_LnZn z4^|B-|5U2HX@Ywue5NMh7xi{+-`nGN?AsCg0NNaL-k8T(@n++^BDgqiFqO@hgzkEC z{8KeCvva+TC5c}uPeKn|kzAA@koEG5kBk1Q>E*H+4w00w9I#`Pd9S~$h{iX52hr%p z99Xx+|Bq_y;(V>_t7YHwx|XU@kyUe8s+SUpCIam=&`0U%_#N7$H|cN1_^4-JhbPpP z>T(4!>*=x2Q>m4!aB%eNe;2zz*!VHV{u6gE0J7O+vl>E$XT_>cG_Jcd@KT!)bb;iIg!8Xl0sQb?Du_rZE; z$rpNsuLVWY(0xpkdDDD5OhSEPa zi8(gh*bkR7Fs?)giZx{G`#|&y{Ai(Q)~^+}p?O6VobE%4=L2`wmb>s6#JrUoU-9de zU|rjMq-3ucH{7gf{_jKXBhRZ`a6y>7P_|DcS%tr>C-@vr|KY1FMo7LosMkyTdqJky9z2tx_51n#e$xc>tde-#M-J~KvKJsp2AACIc9nlO zxGyCxY1M3h*YBOS>H6nZU{NLl>0L&8#z`K?+Ik<5&()G@f+oD!^j ze}&A2v*8Wqy|VZ)GdooQ0Xf89Haw}9A_Dd6%W}Pu6&Ro{!-F&;%TziuSnSc?ifDFY zJqT3@l60dIwnWnIvIA#n;qx;Ak^+8n6Ic0*&*}5bO|B8h@|SflKT*?1%!{0M4t~j% zdYiF*0__4d#{)Gs)zY??l(4%8jFFfu3ooLg@C8K9%{KVWrQkcf({vt%$NH_SGkMZ3 z_@ynrhf`WvY+$U>CjvU@URGg{O^6nGvM?%VMBQfua$y@e9zHL{J2#X-aa8K;pZ(f% zRuQxpP@t?cKtQU~&M2RXrYey{DFvOL?DYVB$35}T)~RVxjTBBD22Uc%w_0VYH))85Ul6jMo)x z6fO$gX^I*4>RS>n<8)w}`5$-m`xHl06w@xnM(3HBiZ5Iy09 zLOhNS6kgz4B+liOs7%%_F_jITI(Tm0Om}2wS4jS}1Mk$cSpvNBd zx=#vl)QkQhN9N1-vyGX^<^6gPu}K3I)N7ivVry;b>A{Ij9xJqf(=~rrV7g$&(-}&l zr2O=t!*x+wz+m9)MJ%0-kMZ*Hip5(n;Hua~yfO+~DePAwuxMcyeKYdE;;t)LI@Lngf79B=th(%Q$|p> zxSdl{VQ3=`0r&FpmwjP9Q_hu4Wx=@k~&q=$%XP@0ZM?y7UP9? zO}v1EvKU<|DOny%?zWH;3)E25Cnqa4jt3O^;5ZlZKof8Dy-e+qsrS!d0vN93F zfE6^hNv)9p@zL=0z>o|~VCepPOuI`N`B3Rt>a6VdUvVR^GUI_i`wF5YAz*aK7?nqw zV+Od9B$0Yf))h=1%K~S*CGZnDiLNqj<16%bPo!!!wqwG-=4!dlkv{A+-39Qn1>Bc# zU&1{SPmi1XD(j{puHl$Z zNqz6RlMSyTQ=`o9xv+#1W$0gF^?@N#U|8F{J(87a;ujHe%= zgDsqZsSf@V?=`@hN#y^LXlO|ME_neZ@Pzp^;&_(;MUsV&62pw2{6;D;?;LokYPU5C z%!TokAG92j*4t_PV4IXSMQ{q}m3-Q*zYRQ!XwxWvhj2%ee|i~H6gqe~II7L@L$2v5 zR)D8%f{Duu9Xu2q-R79r|2T)oM0Fn%I{0l6S2*Uc%`qkQR$q{P46&u+y2M*G1y6lG ziF6_q%TF!cy}y^kREyl2jpr?>^Ap*Cu+XC03Ex#f2P1RSYrcL0dDn-$Lite~g&I-b z%AS1edNND2x}-qCN`o>{nY7|vl)%5Vxv5STyRm-wS+t|!jx5DKG=(ur5+i$Z5H6_Q zuW&(a2Bme!ap%&O$nqN&r;FVauNBv?@ObPa%+XQ|UWvWFQur$D6)kK5`zr%`N10oS4t;N*B2wv0g zlX;xFg-Xa=Di$;7614-kC@`K!Pc@_pFe}qFv{u7n1~If^h>8#zi~YrI{zydL`->q& z?vegLeU0r&BMn|{X0E5nZ}~JavL`J~ZVP5L`7=Ky2+|fZp;Jc%mSk>132X4x#CZY> z7mig^h6&z-xUm<6ddDu$tR0pcnN@&wQtA#Oyh|b}HP%TZ@I=h*&Lyva-(;}_zdgU! z#BZ{iN8z_Vo_{giyH?;2yYtQDx{s|ej{_Nlw~0i$IEwo?r2svPzRh?R8i`Ll#3x0^ ztuUac%xzZ|WrumXv511kMKGW#Hp~fC{0x|hJsy8ghO0M7Z2=7TCb0qVB8bv!WiNXp zb5{!XQTP!wDdB45NZjlK{$mzxz2elLYa7`~R-*<05m;dG_^w?&n_3uLxYVGpOmo z4L_q`qg9l#L^M^K^B$DAv1;GW^I;TNMAuMz#EksL9bbkM=m3wz-49(Xk6Bk zVwiFfI%*C9hU0&|M}Y9nv>O%71GL&}97Cula(@PnNt>=^!oBuS!CgwRUgek@Z%mlr zVOrBTBDCcg{2qac1StXk4Yn16qgD0a^`uA(&v!}SHwAIiHIAK+{vo1WV z1;$lJM!WsdgIP6p3_ox8l#dErUH-L&BEhei3>L9oCmB=gU!OFj+$i9w`=jfYidFA5#b3Y-%2v#lxBBVWx`6L~{qa-p`|JEEsPj8fGtnKGWxowk@; zxYor%$F^WAQLuj5Yvpp(+`Lqd8r1sO`25|k%f?R{CrRlqC3%!??h}wT7zIQ*7$}$d z(zfJfKzntkyXn!)QNfW=iCFO4f;iLGKGVn?Q zC-xmC4;+lWhTjb|H`uJt-z2W=rduCB)?0@?5uf@8}t6Odu{ z7->}YqNctQ7BwPH(L~Ll-n1Nv{R}Y(N#z=MqA@YjWn)$LS=6n*H2SR6( ztPmLBye-l=G85Q~!IU0s67EutT0Gj1TFVl+Yw-jY^tx;LmgTOc-g4J+7YAYBYw|Nq z+_j*+V7Y6#&T`k{o*?d8;^R{eT1q8lUl%WYj+U?y@-x(O(2_$N0(eh6I*_daYYI6J z#4@W{32q==wdQN*Z)-qAkT8i=E<&+7xUAfz+&&Ipz-<0q7$0~af-7^9!b48yJtPX= zAOWt3En=<+tjon*H{$gb!un$WA(K;I5%3AEHS&NDJZe4m9)h;uLE(p&>m_k{LfKrO zsc-+BCU}*Ur=q??5#r2x9w1vi>j<<5CN@Wr9%fQ${7Lf%Txu-=sGwLhj{lXHc-=Rnbh1d>JBN(n^?Gn|RK&v?ju3(N;u zNgbAng4RDW6i8$VT{|#KH;&a;6l0VnH3s9ag(@DIc&*YOh4%BlUUE#{_3fv0J0rNo zjDmnA1-gcaLX%~er}CGw@eb3>A*z|QaV9nCLTOR#+S7!z8j9Af|1*#JIMS zm4Pp`B(*VO#{i$Js+cstfj__>0wJ*YCFemq5&p_{tw}txRvVM{Oy!iUob(|N_tM$e z>39Hrl%YZr@^P++9ADV6oJh;YfEWsB-bk?=+|%@mNxvZ`P;LHn4qasY&oyVHn_yA3 zx0;uOR~hSL^;UHcSk*1$5qwl?*$0|o)p9do@!9UCkF=(dfMMlPSqS$xe;07aJUdEB zU>gR*AfV8WRnn}gK$WL_VpibFK3tR?e&BcXq+RbuKyuH5 znf{6^0{9om-D_4+D?JIETN9qVSJ7vZN#m#udH3RD1V;)ewp2{q8~oU_0!YBjD?6&9 z#zAip1V0XZ5(Mc1Jv?R-EsoEkM07-8@d$!Kosq9#HGZe|*bn4;1$~i!W1%~1p+y8) z<;oy`TNTPMo4=+|)%80_AdT~f1ACoVHrweD1n3kF))#0^Ka%#ql|c6gM$pvqiC3mr z5!l=|TL8LA&>$Q1W{Qk|1vRIUo6OF+vKh5zL-lH{AL9!Cl6FK(x)6nekvC<@ z#A3a0yCl8$PBqBqnMF(*0hXqUc?v;Q<5Stp|CYD5c!?wy@l^@yipYG>^VtDS|F63Ux&wpH0VJglAdt#myJcpLHA^-9-atRRULcuAxdWMY$f z3}jjDt{o&Yn<846v`3ylj-RJ%*kuT7=@our>edXoLzN`_ep7GS@fRdU$B z9bVMl_@#>Ct#+2%qb7YgJ8PwYC`?=A&JJ9|W8&-pHj2_*%FX@v*Vko#%~1R69l(tA zC%M6d=b74I|NLJz*f$s!YlA&QA+o`~#RmJ=)eO)m0w zs#MuwQz%sp!88)|-C++?1v?BY=}n4ko!(#dQ!6IU4|c6$9&Oe3qq1S|=w+qK7W?>d zw%ARw#Vm2ZyouqvZm^V+Y$xCf1BK1>zOs;lH2Qf zinF%Y)AE+wUSZy4do}V@+iMw_dbiho60Nq^|G<1aeUH5e_LtgY;Gl9?kMt-zlt}^4 zk%GvINeb{sUBu&Sxq^uyMVX>@y+T9e0U5N28<7Qb8XS7#Wl9?E}(Vn0C@-OKu%o1E4q3 z=Sv~AC;MDc%tb5JWqonF%L~ugWdy?K&}CUiT=_E05oAbq`40+IT3vRhy8L5wssRP3 zce#PIV&v{-x~wLYTW|_!?ph!{UIbKv-}6l_BJ?}9{Dd_CDdb(o;taTyUyP0-*(;V} z1CXaN65OeGA47w8o@N#@Jt_BjagPXlXPe#10#y$h%QzGG^E)6@Le=^DGHIUDFBq;@ zo}4#CFTn^;E^;2|c9?6wCwLWD))|nfKJAO$PUrf3bMYJnx*+6Y_0PJm?ERGjmf#)= ze@Oa^O{MAk)I;NTaYl2KNf*&Knzi9rN&IQ|F;~(EYvo3yV#O+f2xkNanSXlHW^3XF zSeTD$Fi0i(!4OvV1ui70M-M%MlraMED)~TG=|VC<#LU+t(C49cy^}P{XN^LyNTW3` zNm{rPvZiY8;Zu90VkxOCRZ``?;0J0HEt_MCd)3<|>u$s-(S_sY)vP#C5^0e}Z8Z=7 zP{58Q`lMQ*h&sKQd4pE-G8jjCuq-=h)V~!ypk<8KSuW`99ZGL=%;SQaliW?4!Y>fJ@-hP;rvGhAkW=$lR= zoWWbng#bmvozKiI;Ll}#i|=-K{u44hB)E*4?u5CnM?16pb|^r3b?QrXTrouGvRtlb ziYdvK{CJ!Uc{B~{O{nUr7N|a~1l6#aC;u$#;uJpBxSjt5R72_*X7)TlBWm+O1B^EF zo8RX`oo&6}&bxGAyXwHEn(%{8$%c8v?^asPzvqFIgmD#gG!ryCALi&-0O1KP=k!KdFLEL2i70{79DcWS1r@4hS4A$v(yXl`;z#|Qc_&5jDHa5^hmxf_zr{rt5LFTb_LY+|A!=tw_8YY?|G~Gbs8OR zl}r=9)LO1m=GB*uw_-0-Y zXkqxu_UoKBTXuHab-CE0y-e}N(OaGi(XJh7mFu=qR&WJmKCprL++LFF6@*gh?+R5e zg%?QguTM5Mr39o$URDhfWbU|LxkU~bxG^97m_|wkm8XIq%b1MrEjo>z^%iB_lLSpG zH9l!PZgbgeb1yP&K@>Dt)}kO>Du<1lB=>1or@PjcB_cNsG{5^IlVxXrXrG+3j>v-C_%OraCPS#j9d=wPInl3*u7rzi zGnY^zbG#GZ_n__49HX z^`-sHQ~k8=I_dju$}di-HEf^%mLcX&TDAvn;JcS(iXell@ni!H(IOZmKqw89ffGLy z_1LS-1Y3d$;R|BzN@7EfKeJce(Srk6He$#_pS4y-oX)LlbC+Z7`B+TMkyl4nTPyFB zpn%2x%0%FyuIn)Wkr^MU*5Gug4k`eH)-1_e_*6?$RPW;3^paEhii+R`0(;?_tZyIM>Qb zMN|v7R_q~5WVyc&onHEYtPvK-+{!V3f#Et23pBDo{?CN|3uLldAYI-bx_KSzq^CF$ zxW;r=TkGV)KI`P1GprL4NX=pbtwmN%X0=X!f)IXko!rN3zjY#emG-*@1}GhVIV(cP zPhlwKYAdbzwRHCQjr8F1%Df}&lzA8Hv&2%{yW?dwMFn@lYKa~hhIU%YFaH2{Lcdpesb#}_xXPwak3jGLH=5?L}RncLdC+#tAa1rvR6{1-o#e{6OLOut| zlZGpAUaJ)nw?fJZSz(3jwnE&5{K*Pww?crjdB3(oUa>-E6Y>`;)!%Vl>FeRObD_3cSw>Tw(<_S%K56Ksk3wIo}F&OCUoh*Hbwo>U+mw5UHYP zt6?}>Wxc^k$Z{*hX@zk0$@`-f(gmDi80rW)Xob9Mh0G*mw-vHOLR4+){IKr!k;$B| zAVpg()r&u=G|*MK)Wb{`(ug&+(mt(8FvsNK1M^F{xPDzAK1CS+G=C!?HF85auRrBA z5_CX>jNCBCgvUXIv5l12aptg-{Bp|AX}| zVwvVI)O(sf#7Kyp&(sNyCWi71jiCelRiGHj5XsMu;MHIjVy6lymP7*Z))f%76ji5hCOCG&_Pt5^TEVLTDS#aGC#gPl|8dr?8TpG6_u0sYGzBFtD?G8Q94Ssh9%ia`RM2HQb34@GkC+%f-ix1AVaV$;7qid>%gO6Bh$r!kRN0zV)a@WuaRrnM@PghSz(9P^qe#vL<*oc|1v$| z(YU#x$g$!GONW1&9_l<|cHBcE>@6cpfk-ZVfp+`m&D@~RGEYJ0O%j{4+imZ>Lpq_% zk;V^47fL2a^Y!03g_OWn#h4Z@qMY&yFawRxrIlP8akm(0pe155+ra+Q8;OD^xR#^0 zKd4L;ekl*jJ2xC@tdJ_WL3Oc<8Wy^2N_)YXl*@)hY}6F%Wp9|b%@$fGBWy6j1|uA~ zC#?u10{MOZ8IJFOc`Qo@TIW^#d-Al|jJ`sLa>l-0 zSEdDq6eZRkb!k+;aML0rYBEw|T1ZqG!5G~kMO)*vt$x!HvvekkAkjB_x#hbGWkbtCL;Wp9Vw zUkO#+HICh`_A)H;-NAbV7Jp63o0cqZezo)_tE}brwb1=)3;(tez6_HVzj zQRF}IirV6`ntl!?j_}K-Tyy){+hfxZd3GHCfmlLVj{tQin!^I?MY)(h76bxhgok;NJK z8W`r(UcD~CORm#sEs3%ub_B4xyML6TO=DyM(12} z+c$d^+HEsa_a(tS@pKo;VZUt%yp63d1#_Ubd%B~G!LNgDN+6jZuT8ox{_cvsGD6BA z00ga_N`ThTEN2$e+HZL~dmCI6PgLO|0rofhr^2k*ylJ`r>^c(FpmPv0B zd!O|Z>(dMTN6_Z2EiUgQU?4JbT zP+TnIZ8e{Hgmnt&-KZE?67pRM5&g4V^Us{ZC?xM7Lvs+?b~`VYKVm6g7CKhWwwmMr z3|Pby)7HxNz$me2dFzV9udT6FFoeNDG7vE+m`HA-wAOh1RDx}mXWmND7MzMdqncIO z5ga2(f>?FiYGx!Gp*69s5;AHxrW^PkhlOfjWsKdKSR>?KRUs>_Ry?J1|C6S9OV;Xk zY$I3@K|gwt%$KO|g@6G(6)y`7H{c`>A6uBMU%`WUu`(0+TsE0g0A`u{NVE|7&Ja9%cp zp>2y7qmW>0iJ#Za(6Sz$j=HV27C>K%Yw1JJPE6JViQ;pRLqz;%6zT z>Ui!73b4f;is8bIC-hN%;ClJFT7E8zf)*imQx_m{!%Dd~H6ITQHyp7GGi_+P7q&IEEEq_cQVYZ94h+^- z-9PMXezNjIH{@n%t3Jq`XCHJ!J}-Im91=N-bS|7f@p?`?hmZV#3Ll+Z4~lS9tCoa# zUHAfD`zQ;~I4uxbIkp?iLv$ukW6Bwh>fN;-HDC3@QBmg$xn6}B$Wf3=o8r_BQ?F>*O~Q!SzVgzN7ykQJ{CZ6j$$d@H8c z_f;DUe~dMS-(q>y^4S_S2bOi!>)ImhmmGF^a~A%%dt1FWZKcFf@TLi{lPiGs~6XvDzO@g~brYZk0RYL|kuNQNB{ zbw;{9UF$LeR~f#LvU92MIktm??^(mJa@&0fV3zL2K zxp#Y2QAR1hUB2h_po<1N;WC}60}a(35S*=4 z$r(w_1Xh+ipqvX7=~S(|9l$fM9QS!?4Fhz)1&)9%^_81W;;t@B=qYf65WcG_uRfVr zeUNe@S?79IOylJzkfBRjxA*9?Oyo>!>|Hk)Pjxpu?Xa2O|3si?U;@xW^KUUeL4Z{A z@2=dtNQ@qG<8cd&*9EPSGfX*SziaIcvzoe>kh{5M!EU|kT`HKjUAF_mn%Z5DIBfB@ zFSHZ*=i+dw6#%dBXar(n!JLMxCTY*L#KM$dzW03v$4eV3Ct+`FarUD)P@0+{1d656 z_S12@s`$-I(^&)YeN`C30Q3iUao9;$=z#? z!uWvlf`2O7i3rZ)PF}pqo0r@Id{`U%9o>~HCRRc*ScfSck9HHj)zE840Vrv5^Djc` zdckk_oqFU>WDU2s4JeHlh>j?lJ&9HvftD&eaGpd51uTBQ&2C#zLIY;2qs40sRA*HX zctMV#aeJG+R8MSTSSkYlKGm|s-f;D0K}X`ctoXTp$Pif3^)x&RJu!$7a*N35i8Q@^ z9xA(MSOpmS<7`TLeUZykwY&Cv(1hi7SXwC}gPpi55SW30qz#glOS89plAo%tt zf{xAR>}kNkL3OxhiQM<_Uuy=gWGm4F&l)BQ+v;N{j|~n~dh{3|l|1GFQh1l(7~nM* zDQY-AoN}~ugCI30A~)pW`kFDXMFa)sGFe3;_9oUXet(5*+4fZlS^z6xqP{Yr{%JP7 zuoc}QaKORcApDdGcv#EBLor#fc^p|WPBtjOty=T%2^X2c!e|i7NA2;8sq^9Cx&Rse zAxOfdY@mhq0#R`oVU`I>+0I?v$H|77!1jPwey)(8Vh^HYw^PGvQ;L1Mj<$(3s^*hj zpfzU=0o=Fd3$MxXBuV0IY{z5r!tGO~=KDUrCDYqpE7MleBY+fJ%99>UwlLqcFzsT` z>ajGG(Gkko42Gw$$Nb(TK}WnrGi0nVZ1$%4C?PUY?TI#ZaFcd2_QyOcW&AJzKT+Z0 zNR;>sxoStnhMrtK_y;@V9Bk?Jq-vA_-X`9Cv3=FzD~x(0MFV{HPA^^sN=+Y=Y0hD4 zj%wpO!V8~@G&1cCq0Up?yUxMN*|2ijv{ zt^{Q*?ak$OtL|{~MBc)$l=3Ss&u^wY`Z~q%Ha|6`qDjSS&0@^aXK(jnQ|Ud%$c<~1 zXN$IQ!ugD~#xYOm;8;)8ba+b8B1{-t^qn7gN}wEcZ=)flktqr7_3GxQ0$GVDmyiup zB3YT9zi+0*P|v)FE)M-hs%FMiRiS&933~e!5CIGR=G&0Y@#nKFwu~fL7%AE9t=!|$ ze%$7@ANARffPc-KzuFV2!=A{E32)`5z*oF*ze>e!W=Ts#PgJ(f8|XD|ZGI|l_m%Cy zyx9Qb*2q(|Vuz>jEn~~hL*7EJyPG^a4|sBRObHX`NoyW+F+fh&DzSH`seOKsIjKbTDo@ZMB%=~AKjlBZkF{NZkENJ+^uX;O1+z4vowQKy1Hm00QQrKClf2);BG7C zWA{q~jNeGs?)_q9(JnASWCzYCX4M6By|UHl(5~C4Y}UZ~NI>d-qT%Qr4hU(l{;lB{ zFUV>}Myt_{WDRDdl3lUdV*c0Hx${QyzC*Qo^!-e2dDF@xWYQx)=)6@PYRE;g&CcC* z*kk6`?>_}liAXkX^+#;Qq?Tm@Rw%W{kOPgcTManRCl z72v>w%mPtXbAaK5feoN^UE=Zr25TS_v|)0{?eRZKr=OGL zxViO5J2SZvd&3c#CwLA4_X+{f$;lOa{(~`HA*<0Wyzf*Zel~Iz$g+3eh2fU$o8_i; zKINH}ei}|CO9(%-9i7HnyK|U)dfXzAA+yE%afJaiV)47B}W$$j8{_t6Ucx z8v6Bfl95&8&ImV4C7wuDIbg~d_L$M6;!qTLQ;|g#agOAp^J1o|%V&QJNUk*>V!3i7m1U9K3tze>q`RiZ6+5*i4x+eccHNj>6BojCO0Egd z()K2nF5=XJvSMJu(N=mgQGyPzf&&5=wC0aFB9nmR1!5H->E0hbWRGP1(B4u4uk;lF zhkyyAsbR^Ta-Ry!QQPV{!qqB!N?yR%{$FgXTgaN)R%d_Nwvv-E4J0lkNB8dT{i4F0 zf^XP0hGoER`TqpI{a}WIZ$G{CKZI|M_5I=7V=~?;_=d&nE;$fltJsrj*j`qf6G3v3 zN$3NOszHYOgCauGaA-^L9R-ITBvWYNvU&3`GQ7+i25S_2&1dh9|0G!xPzS>ZK%H*w zafF#{#vM0W2!*e*#$A{%61goqrX7&RtUr7NLRo8zE zSX8n70Sh)m1h9w)a{(+11hCBP4_MkPz!Lo8%qwUToz*+@Pfus&U${O!^Sh^5GoJ({ z&sv}a(=?7p#`gy$w)Ugo)UlTgpv_5d-e_c3oEf}E||A^BU z{~%eO@qx)Lkc5ATK{Vj7OX~4bk2(Uqk*A<4Hn7vGBU$>jVZJ%%)i$f#65J*nBYskJf%21lF*1~U}a5kDuS&UssWC|HxjSMpYTkSDWE>RU1Z`XB^~+AN^_ zWMA`+1w%x1YVrJRh*{OPpxt9{71M#ua(x$rgq7{OHl;_mpK@Q`g#?(^w3BJ|{CyC= zQ0SMb19u%Cst-H3nm+xMes70u<4-FYwiKQO!fgSkw|toRfBQckxOtz*z+qsx#apt| zqZ~D;_2TL7!Ba!dS5Lg2RtM?@a8 z6(~!Tjn-v`s0^XrD6vVj>Cq zP|339nLoN#Ac8EA_!MMVFR9EMKL8ol3y@(&s=<}n%X$zQR!g`6QIC%DP^UXS)VwX7 z-CS}tyc?*FqQHh+_;dG3Bly?2UzoZyM15`Eto;cZvXBX#o>lG!Mq67RU1{T`-c#5L zIpH;7{)z)(CkEnjX%{Y!dfe*E$yW|;V_RkIAn(S48E2abd$FX-=HfA?%I4;wRY~AV zsTMP>@%)uG#y37lF(rjv;wb0-c3b6P_C zGv!+%oS57vL|(Hz+s&Mg(18s5hUkGTZ%)*k)5@ldc8>Jqw4@7X422dv@~aTOM8n$H z9yNzY4~-lrouxtsn<2~DR@SvfhLORfhscH&dLYFNN9u#v0Kz)Ux5S5g)TqY?dz6MG z+i#^zhtaBx;(1od7^q?c#azEfGwL$1R1?Ieq6~0+7*99PT%InTS(MwRtvY~9%atOW z9Jf;s-x+fyW^cVGXA@tUa|u3GpR-lOt49)GSJ7`0y^*gh{9)1zmAS1xr-LAe_%na>!389a<$>~tTZ+$tfFQ@gDmD8a}i_$DGme2uLPDl6Kk}H#`+JB8& z%2W+Eu|?JClscVjH`jy1q6~#F_0nSD!v%_fPUT$ok&#l8f&z_7&3CLw9BhNIBdw62 zd)5X@?iG2Qf%ab;s`{2#0aSiyjtVQIT!7KpW(S9QQas}LRY~cxn46TMWxfA37VTp6 zsONjl5xd|AU8o}9aFp$djZ*I)QASg58Lv==$`m`njPxr5al+es6Fx!0*qfw*Uas5B zJ0?Pow`9!}lOI+_TGovBw5*xiT+EeMkQ6unU*y}b1O5f1kI#q_yS7GYze#q z+Jiuy*y$BZ32&I*x0KgjU1|PNVp50?*!G@~G&{uF7C>nl3f?2=F}VNex=u z9;rLUd0~~ooTTJ1l@tXxy9dOwEo!w)5`tycBuSB$xdUYaJL%YJW~gf8XEf59BIFH% z+2$>@Fg9IU&K922=IgPUWt?Veqz$nU50lS$C@2<{RZA ze2SvE$SHIt6I&DitK`IQOD&#<__?x|@ z*L3zy%MFHm7#NqyUMzu6@o7~9*`jARAE=}U6Ra5Cb_#e$=CZOfe)$V z{Z};10lVNY>~Kp0g$FRZd{0#0M__KsU)WJB-x0_D4`E7$9p_tL2d%Hsd?95EO~&y# z$1Nl|$MNJdrk;l5lYURYiY)yR=G&aO$=#lFWm3u7b48!@ zOTQ%jcY4$RzHj)6Tl@?CY!>J8Y5s*c z3^H{Vf?Kb0--DCmrR(<8Z!%0s=mC?lqmEaKYKwJ%RD=~*qa?&Ag!K5ur zz|>*>*KWJ$<}JVI@F5Aa*22FmuQ%virabbXLfgUl?;m@iV^600Yh#zYrYr{9>`)6(Nl-#=XGaT0F-Is=DxmZ;jktd*Z<;4eF zTDisvMYGP}7Dr#%fgn%jSUcqT)}#+E%L^7rRLRDlgbvv4 ztvCw`wH(HW(X1A6B6e?wIPVc(BKNj7z!=j@di3zs50BFu+Z)REqeg-L($yYgw|V6c z7037-J@U9p7akDLK`hB-1!su}rU2k_Yrn%M@72(X&HG$X^Ikcy*;q)J)6YP{OpZ!~ z?<0DCctO7TS1z@}>lCe#ioX{)Z&fc^C5?ODdQNznClxH= zVSchqMv+DR(rCQb4>F#3<_~{DE@B`r0bXd{JtVV7!;>B~X@}!m{Ce(RKiOkncYg=J zTP=3oz3>>oA?sv+eOCs4o5#iihC;E-vyS;bE3sX03g?V##r0%T^g*0`IJ4tPsg#FYZS6 z#W-Q^_?}1%j(PIzlL_}yGn7EuS_Gq!)X4T3PyI}-6{oz(V(}zez3}hW2)KxRPXGbz z=oqe`xJPxH+)z9K1RxT77|)7c`-Y^WynDCEmiJl!p)oq{S#Is{s})rA03LkyR-ZlU zwToXyJb(3b9CrV$MRNuM(mW;GJoX*-TZ^%+g+E;XqxdF@R_4RrW^OCew~pUdR4W3v4T1qSZL zISu~2pD6kT!4R2(7kI-C{XMoy-nH^OshnQ{wRM6L&IB98juq0i;k+v)f-|X>3>Wfl zF6vQYMLxqZn$LSh9z=?ch8?+lKb+^V&A7mk$UFIN2K1jQ`FM1Q!}jalClZbi2n##j zlix{iNqpoB)QE}b&IuOU3+v?|2F#tngD*_4Rc<fn49 zO(sF9^|T8WaSu^v3-~0|osx3B((L9m1`!*Ddx$zw(&&v;q>XqoTfZ2VsJiuFMqXYx zQ;l|!K)r_Q5&jTN+zkCrFk3J;f$9qw$e9TDkk|!@N_lnOVAft@^)cnsM?nBI&rn;YSPIVjF12$@3+U9FO)-Eiqy1K zTb>Vm%5t*sf|z7#$%Ob7JcO*&1Z8Rrfs6$A&WfULBjldyu^Hk}=F44UcuSOHN z3aJH=w96|*BqQ${>M@5(RCr98)QNBlexa$_?7cYNU}>opb{<&2Q=M|EHq$D^^9S}zP_p$(46 zHs;%pXv?qEBX?!iBY##MzNe0TgVQ6VlOxku+nda{#@cN6_T;1G6ke#;hbl_~d8mEW zhs;ulGK1!$xwAGi{s9qJ1sBVEGM{IK(4fqpklR?Ov$4ozKdy@CDV;l7ZtcsX_^hv( zpD($HC5RGB=TR13mCC+YR*hAby@yib*`%tNpO?(5GJYgo2s*m=NiE)rLS#14J_!42 z#Ua+UPK%P}$0wttDyL>cS># za`BmWlLKR~>WM|HNR2Ce2g~S4_>SW69i`?gM9V@eXEKQ_HoeIJb?c7Ql$x`W0m3AXWZ1vnBHHIL*Qh5uGUwKxsF$_;kc1UIPcvq zey6!mZo0o^vb{CzbCKdPzdh%x+d8sbx5oFLPs5_8-QV@)l6PZVX4p0a@b*=~K0F9nyn&e^cRKWo>RU z>j*aPaG5UDqQWDMJBrN#$+uE7OT7s&P#P?E-Fe4ab;^MTrA|5D#mq!sScgw9wT~TJ zcT&07YHun+1z*fPU>5#I3>ebnj-T!W3sDYI!jo2iNUfDZ(Ohi#tlJ)U01pk5IDlcOj&5cLC(!Cv!_*T2GH9ph0~w( zqy)_bi4cL%Zt@sgQ!skpucazclLAK90ozbfR5L>l)y$ZGgqE%JI1R@){+(f4M!}av z^a18acZ*>X$BoIbT+_|=I+Acy5ui+u=FP}E01_*J$7Rz`Me zuVydF^ek~A)9a^(;Cs?E;|(issnygP@{X%9-l!?rs*P=+*V10Zm2!u8mShd-(_&LO zG_?A?s4UgbM4-6Z*h=PJ{p2st|Bm12u3rWL^r3V7_PsEZ=3&R`E!LOSqIi6is5%qH z_;I-Ojna*e{Uxx}x*xK_x2Pc~J$W;5F7DW?OSXJj{TKuiRVpmE0}f&j z$*5L-K5yhQe+lyBhab{Zeb(Rv;_(84{godjt4jrAqgBUjc*!Q#3j)7t@*XXzuKZ|T z0XFJ3qlEtlHECj0l#T78BU8>qc_%0tRJ!2^d^)5eG-(I@y0I7ny*F7NnPDk;Cs1wA9_}6mFP# zF46|c-FH)wFpdy&MmpyMG4pv;mJhqmWq$Uc97yax3}7ch4`bM*NKb6kD^JYNW|+IY z&QV#)$dX>Nk!=y$pP`p*CjmHYd6Ep=t4rK!!7v5BzG%Oo7W)Nm^nG;f7XauSi{20z zBK8ZM`mBXBF%{u6IxXj~&51?W)nO%XFqe&hyV8yu&POvrIE~-}xhxFCTBp~TgGGY| zy07TYZ60IG8B7{{QXwdL^(^H?WS#&Ih^F=yAyCNdB8OZU)tag#qStmfw35cVj*ILJh|{Hx4ZK05&=-mG>FSBG1;Is2~Nuy%mVQ> zcLr`Yd~+o90YWQ}Xy3o%e=3s$NfgQq-)x}}y39W#i-*jo6x%HK(b!nYZEWGRMd*={ z!-cSA3*vnm?`MpVi8-?!h?YVbuueJh88A?+H^|XGP}zbgFpq+a(E&K@oXBZw5baol zAmy(}`K7}E{aTtVH+0jcno9|H(rGWvw8pGmjTu8L_XdKB)wr2+pW}3+Yr(VQm(bhd z-fq_=V*(JzZb})BxWs&Y0tm&0VqyS|4QxuJqa5Zhi7M-gLt103sm}Wgl3u#X`!B3;mw7t~I=gswau?SoxduX9nbQx? z;_fSKw%2})rs1nCp(C81U=pY4E>2T=N|D+Bozw+ITEL=$qTDw^oQy6U3yR*(^FsbE z^%yw3UU(&bny=yc0e^@2>*i0w2NJHC-$3-0x!L-fxTmS8%MIdtbm2b5Kxt22n?ZQv zSD3GJePufFJ$hPnN%`!%)-jN31SdyIWFS5+IC_JMG1_A84c3%hCi5Y`AQ3{z__T@PZo z3%!4mmoL=Bk$bmn+I`{|>)pn?^nONKs~@>X-2y%L!}LCZ#&*%zeG zgvxUTCrlc_0&$gXnD-6Hurj?!7u-fegz&+?m~f_e8jhbI%D^mXs=N{As&VP^;$u?$ zjvQb+>6WD#B*}ICD87UsNsQEILGG`*aDN79P=^<-Sd;|O74#sdnq|A*7{=UWwP3%Z zy0!e;r88P9jNOd~8yHkv3fbH+*Kd>;0s@sDggjtIznH+2YhaYG^39;PVMD`|CFH!` z$l5xk&D&Cu5ik8hSY~{5!~Vr8U3_S7Y_8;pRv>JPo{!WJALVOO?^GMl^E8~yV4rc* z(Y(qA8*?Ll0%sqYvPI2ziam+ebBirhbwMW!qRqFBKa;;B{Poy^ID>OkZOD*7<;8p# z3!}xn$!4=PEJSdjN4&Vyv?TXr!@?toTo`wJ$kJ>vTk&%mu5&4FB7w-t6Zl6JSfmI& z!WP6pG4nW6C?j0i>YRFbHdM+qI<` z;YH))_pXxhlwzFkSs~&JUNEgn_?TNjEr|1K^hE4qiVFG&{TZsIg2n%U;4C>` zA!pp>E?-n07!q1E(Gkp%(%Y{cFM>G)mj>*{qVaN>$>FvXzx&~DfFM~VoA1CyRT{re zl~9kP2(`sDUY5poBnswUr?{Y(B?{*Fn5}EeGuB9<;cF-MsUkkKETM8cs3z`MGn^FE zfMS7^^@!BK9nNhHzoJ_L=KH8sdc;1T{Il+09&Oc;v$#SQwm|6RcJX58XGcE6w~|5mG_*UoB{in+`fWph=Y$`XuY875=2_Q&#h(DCM?dI)P zRG#@4W+m0?bou>_15tjc>aw*NwoEN@)>+^#j6@2MC0oGNTDxrr`pnx>ih_y7q6h~B zYy}@gNfQY>4+b_6(wm5RqcU)+xg%1FfJYGUh(2^T+{oCIm`fG&N8D@Y6$%P-qu2_{ zPif298br&kWi2&1dYnMcm1VR=wcB$s=F&Swpb$^=g{>-`7)Z-Q6ET1)f1RUUGFS}; z-qzJ?i=pO*s)Xci)0*WTT(1@H;;$2>_?;7_{Vny{$uT#*tYXZ1?bZorsrO4K_lV?)bv=dAD2fgsC(g68B9jPSXF2 z?@g35VJBD+-+6}h{Fwg5s61bcY!v(mvnwPT*2>SgpI9m0C+9l;{>dM;KFE->g6q~| zoU4z0E;1A>Q5j}9mZ@hQCJ%~f#+_83Kkf

    zY+qBXXJ6YGSP#w5y|5jc(N$CoWm664y$<|NnW;IqzjInXvBnEkBxh-*b7+bDs0u z&T}p=d;g&JUIY}KDrf;=g(U zIDe_CBn1lg34Vr{AC68w*?c{|qTPJ`dy?taWO`#m@+TAI|R1V(q@W9*p3dzCF!wb`YD77&-3Gdh^kWyME|vJ3&S8(WhSWSRN*wjri_$h zMm{fkPXj53Nxa7p^?+%^kbl@<7y>F1Q^Qr5vH>mNS@10)pqa>P_ZsW`r1LC6AmW^Nkphq=XwbO_m=TXuqNi)BZqre0 zF9W+gg*6-551KYzhGB+TpDJh8Gws(BAp~}>0jT;^n}Cuvz6?$C6iglWk{08Ht`^<{ zRBGWf0}p7U1Q}or*S}mkwGXT@27tL_q=7@B^KHCws)#qZ63pu+;nE4Lu#y`Z*?wZo z(vC&K6j=_-kEN^=qxT$#r%Ym>kK?}ZZja+WfoB`|p2~E`!Jd}mq@BV~VRX^J6xogD zN>fKQ6$2Sdu0!@jvM1Y&7hyClvfZl~Uk8}qyfJ#t&f6k|`@HnzI#h|=2LX5{x^|~l zdzY8p-R;`D+Dq-*retN4v0#%t#cXixqe(T0Ef1DD%9P4oar%)j zl_pnHzh+V~zbk?BXr+^u|?fb1RhPe<%cDp5%3hmnA^ED zFIkdzs>{2yB#-*kwmRr=p~gij$2Gnle-<5nj~@|s#bkGT9bjaXNYFN3OzO6zQcS2(`~dl~#SU;tPQ_2}Xh^q%ZM?bYj2D zGU7~gPdH)WZJrO|eVh#*ow^XXNt@3^&oZ7fnE*gB_u^A;_I49}pTgIWuE3!jK8u%3FI)2Ihd4&HBEcyXxM1J|MxgcT?TqhuuqDVbb zxJt7kU-MPF?HF4afFl2b9E;bPD9v8ke9&4HPGON|;Iy)+mCfyiq8M`qVeRnp0at?3F=%y?t!zi_@ z2}Kr2mJ!Te`u1kpR}h=p|KK_#Wm1Ut8UA?cQD|TA&}jZU-vSf$z7zR9kMnO`>Uy@x z3gAmoj<;d~MG{Jp8Tg^128^fFhLxR~vLdlE7{=Ql<^4!3a};)V_3_@^NI>>>jC=>h6| zc@gc8z=bSWu!ZvkPGfv^;iIMkQ%`rPy+~!seu#vXf?ERYJO^bhJLBkG307c zF~*D+EBq=nxEC##r@;ovu{7Ay)3v2;BVCuNOnm8z#1>FOj=hXBnjnR3ol28c4L{qyyIy9Tjx?# zh`blzZj74zGnw*cUrOo(;1mEX3`UPl89%3=N5M*NPgqU0WgO*qa`psF1zU zU>qv4F_E=zkch^_h<$^uZA=W?Hz?G`#E^kQGxF&@&TLW90*AGUEDH^?ijgl#9bxJ= zlWH90wTWS-4wzIxR|rE)?ZaCK|FjL@536)@X@vM1TM13;zavYh$x$34f4U)lrE33yHG z{2_S+;cY-a6L0C6KBDtF{E6Q4CG@IidQNo9UFPAQf5HQd+ydIQ6@?EwY+k;2yRT!ChmPr#cgp0D5R#L%IeA%4A(2RqP%WfHu6Qe@t1*!; z(p8GQ#=K7P<>fYSG%*d7>Iy$r#H$e^nQ6ze#WZ%r$w~)MjLk&5(kg2iD-hE?LsRkD zHx;U~RwGG0iD|CHRBJ91KWjx|I(pxq5%)6-E)y7b?n&PIGXz{|IK7SEac&k1#Ae2* zy>;Ib#(15+apcCl{VOFgn9o4?+@|6v41;Vc=J^1mMx*!eWJWMD^SkT3nb$Ay>>@KD z^EzoQ9g`p~p3!Hf_X3OYSe)UljM&m7@TwQ^m zdyzJ=5lp5!{LY0|5ilef!Nd%h27pOM-#9L>X`v{yIqdk2SIAD5&rTK|BR8?jw)tVl zUedg&*j^EUgueU$c=$?N695Kpi)cJ1WVqNBG95!t3Y^XOYBm*4VS*p_vB46i(++mC zz|MOdsRao8`(9#;p#=xT&M!^;3ltQjTMFA*-rw{#2S7?td`Nfm8>ai};*G357XfDu zYVkT0&*{49bh>?U(U4O>Eib;(*X#D;S;@P)a^08L*V)RZn=BkF9<40DaG*GMpjfYr zZ``1s$#!TxD3eqcA?Xq92_FXFF~{@Mc*8&7YPN)_cZ7bVA&UL7(*w0-QTcmMh`1p& zConYiu}7Jj7b;O(uh`W^;dh zrzj*0G4kn6b7zD=(p3Y$jQ32oqN~&5H<}|1I9vl%iEbMP1|8K?0Jp18Lx&RKcsKwl z?r*^EjJ_np^O&+cdJ0?A(trLJ@qn1UUb83s+53@Q_@W}{ARduA*8|gk{#jQ*7r?h3 zR#2vX|M|()n!XL`c3DPIniB-@o6EJ}dqMz?HUO?BfL4E#2d~r`uL{-JZ_;0kbU*d{ zlmh|EEXo+Kn=^iR-9!^l@Ve#QQ1S@bSB325hL8cL{7M}8+K4e4N~gAi8@GWQ2QWl^ zfG{Nd#$T(O$0gM+n2hP0iLhqPc4>Mv z8cG(9UNc=T6F@))0-I8ltQYP5jPlM{vOn33W_XW)}xQ^DnxcSDLZyb%!eb2kT5kIod z0-uvghJpY3G6nGNGQj5>;8%ozufO>g4`e4-4-M+K_H;c~pV}~*n51GUUW=R|4Zn&b z5#AZZkt9NHBxfuyVXklVw-Q^L;_Wn zkwk`*nd{7^dMjd(t<*re<35O3H_GCbnh?KsL4)FjHxXkTLBw0Pllg67G5R)n1A&N4 zH;>I@7OBMa3)N?}$N<&ciZ5~x5rjo9DH&i+f5#3e;Q?t>)#{e7m_k3KM7;xrdb;it znY_=P$?H&{IdEJSCwktI-Iz}7&LnoLyN3?Nq4LExy&Q8x(e&w+t!Tv7z=X$N1D&R& zlNxii#&|NlvcZ7_9lFI=&@vN`2~-%s_cPTM102YTfO%Yt0L&bJHhdb*|Cq~P84DC> zHU;kV3N!}_w3q^a;}vKL6lgL9Ug;IUhOGN=_~j!eY(cHGqrg$fBzE+-lNmv@4OlDR zk-Q$g8pDhbTj2PEiSrb;N@$7rMtfckBdJMTU`HkNGq7*2e{lflHYlq4Qn;A~$;>q% zJpNzZkj%V3hF4&ZJsauOO?Yp{JGu+~mtNh1cMRb*%kkcd_vLtx<2{M@INpNAQRN$$9fd_?#(R?1< z1~xSf=g_dgiq8eGQqfH7If6_aQX{JBm=UKV_rDNlS10LzY3GZ< zQXj81GK$o7_K{dW4R?ZQuGeB4OdiaJ)d|EoCr3uNr3dO58KTs~g!$d4iBBSe3nPmx zo!n2@UJ`vOiMWC6GKjEyA;J?L!g#a@PY}zG7%WL8N$4{Pq!gjAx6tuy`p^a>IkfSO z7&oKEPf*9GTSl^s!vIy=HI`28PIqKcnM_Y0V_`3#L9H>;&A|(9P{5m>K(OBRFR|v^ z)3sZ-YfaGg*$o$4wrh<_R#uFBw%$74|03(h1jI=Lio7PN>H-ZPE{Qf}Z}g5lO)~zR^hP`i~p43tMvEXU%ga4nZEx z@3naua4+5;^WI_hM)N!H4iunV3I{Y^VSR4#MGdEQrUZUeQs7##c6}qc9b^Vi%cqb5Z9?9R+gxKb z?c$D^YSFWE0Bjl))hVOtUpOQNAfKLtjC_W3>v>`(xkcui+k@mm?9`kFAPviGSTKjV?nBoqj87*! z1V&tuIJkMCLP23%Xux#isN<571`OXB4YBWAmRui4LNeKfoItuw=s zCU38)NsN$=Kg{{;x}^l#hk#c*;zz1G#2TWH{BOyDb)nrKgM0NrmCJw_#;Ld zn@cd1YoDqKrkbWqk z|J*QBWv~P#X%H)kgItc70zC>pLbaZ*?nvqw^mR}{a@=-k`l8e+COsJ=wXTt%zUAI~ zw9t{V?QpPU?D?T4*3QJ6(pfOk#-n6RlQ_FnJb{Y%so(ZY)F^RX}{B>|9s}HNYb4e(a>_SdUk9ft>3(upUKSPKD@apG{J;9yzt{aV+jsC91>W!@7V zN^&woRRB>CyWdA^xKk%~yFVbN)>E85R)3MguOiJ*kl3DyXdbmjp`n((Wa1lweDye- zTqP;|KY^3gnLIU^u#ImAq_{XZ1+fz+AfzlW^o2~7D{Iqb_cDR&fP)0_*tnw{sGLfa}6Jn77HsLaIJD_8;RbE=%H&;>L!?mp@%3;d(~rE3f8{h71W~ro17&8xC7ZC1 zc7;9X63lD~!lQ-lglP;Yq8b;mu@OL@>D_TYgor~r@vuB_!ZfT;OJzCJKryqYK?62C zFXA;+J&zM*OpP+Ve7GR-u$>wmBe^`MhVz0?p9F@KGitsG(go*v6QpzS4Cy~SVc`sK zz6cl%VyGH4se){CEe(atnH1R?9d9iRpgmjNpIZy4BzzX0FHrhxjWZL&>BK{s#6uOZ z7*QVL`b)zPj*Xd0J}t+QDx2df z*AwPL@)8uO??BUP zFgbD}r@f4J*MHW~NYlDJT6G=fV{{VyI(f>dboM*jIY>nI4E!J-uXy0=0}Kx(~D0*j}=ZvdYDGH zZUXJGAmW>8=TOGYw3nRgpJ^X2Z;dkPC10Qj9NxHvToh*MAVK(oT1@thh zUxF)iG^jorF5o9du1+Znz0>=#J)B^1^fDZCJ`mFq?Ry;a`Pp$oi2P_Ae58-07jPhbkc`>=jJ>Nj zf##L*p2ul^A}OBZ%6l}!WhlH*M01Z!z1!yK_`+e61H@LS+s>&Z)Gw2qszSZUbjXO_ zpRoR1y|te&tJK=pB`4S#jw?Up_Lu$>fJ0{OMOp1lg?pJ|IRg=rd2kC0ceun_jhc)4 zM(^cEUYr>8V!OETExOb&lW_@J=&E*->^Xy}id_srX{>G_YX?)+GCEa!u2J)?BcMxa8RW38gt`{U8L_G#Otd(M1%yV02B4CoC3{|AOU*+toh*K5B zF&R0>D*InR3=6HqcBXa=b~E}rSc0g|6ieV|KLkZbZ`e00{O2u3_b1b@SzZmBn%H4E zxeB9H#Zj7Z5EtVLO23xJ{7-CSJ=?r_ zg-z30sz(Y9REezrKB318N?kC87x3-<#e$+T(cjkdLcBPoS{J!fie(P zS6xioTjAW(wW&}{9eD{`#9OKtd%hfd=&l+$mXtbmBhQRJ@f}CV+h>(Cc-X#C>jrd`E6EckMirDEGq}eOh2uAS$%RertjiQqN#!ExRWoTw{ftTVV>KT&0Lx~S4(3IM2Ai; zoQXnGWkzG?p9D9?TMG9Bt}3BrqJg9Leh$JINa_8^jN-{2{(q6Y;;S&qgWf34NLpiN zR6Dg)FaCT5_cfawYg9Ki&tGsSy1XV@3wyA@i6M}_sjd$@r^8Dtxr-l?9P2KMgl*zd zJ$9bp`0{;r*7;7ZyoO!Gt6kz>K?f`VFt$5`R97D|P@z`+?hBdH5Q2cB&4q}-gQ^2o zzEpL*b$$(!h#*Q$MrI}?aITz32YT;>8d9Wif?nTzff1*?s9&tccvMz6tJp7CxBJp7 zudPl{j7HUvQGW%?a?$%d25p(KiRb0f?Z3loqN+#t{Kf2cUlWW=fhpSKrSvD?l3(KB z7mUTV+~32Z<%Y@>C2PSczjjY`+SrMEL*dt0pH#K%ESY$V-{-nzSTLV(iGKybd@q0j zYYGW4wpxZ;4%Y6eh0D3ND-(`d?4)P;ZmGdeHUpoao!l);q*b^c+e180q7Rl0U7MIe z=lI5~#FM}$5v#f`5D;$GFY7~`xY6U_mYEm<9Tn?d*l$)Xtxsd;4d3J%XqXcoc8Pxl zPQYzN|IauswUE9w9~6F6i$`uyh%Gt--M5A$4u&5` zd=$;s6+S>PLiq|~#;CVh5T7TZgW}%?rUrkXeUyOwY3Zk;tHx>?&VR*lZYVbDx@^>2 zd>sKqs2O{Z7~7h$6e$a?kP!y@8{5WttMO>!pq5PJ!z+&Sft73umQAO!o7L?K{vDzB zbdA+@(xQ*a)!Lme#(|iF5HBu-Vs%zF*Dk!<>;{%)mwy$cxGG;|W3OyD&4cCo^seg| z?_-m>hHO8brca5rn9fttjJ%*Ii%8g75;7eJx%az;A4!z&uO_DDn1DpGxNQ85ZrR8@ zPXgh^7ZG2!$0b+-19{|3_B8cLtB}%LLf*zc=&c7NDex zm;H+A2W3e)gWaz4H^CE`}|<17U%%1)_$!sIGfirf-wc25BbKxQ5G~SOGaPIh))xEGs1oM!rJ? z*Qs^Ja1egpiF5$IEa{IJb0*9BBfg0a$V84p5`0(WhUOTFZcxNcFs5MGOyPK_ut^U% z#AShMeVJ&*=nY$GnJDtYMcMt0-^eA$Yw!_sG@(7x7QIT+RJbMphm6sHU-lp2_1&)j zK{F&fgzHK(>*3GhQbMaIsT%|$Qzwj2NkVndwtjhOC+O3dvoA3G$R}j$&#h*TUW9$j@vkp-{Mqkrh03z9D+bt5h7Eq0WcNj!IewMJeY?GhJ0%duf#>n zCPw(0mTI+ShT2@ML|OPheuoDi@>&@?I|Hs~wgSiq+_ctwG;pzau{$nDhVxk0D}c@W-swJ%5~1%LIlY$hmTCp%sD5j`Wm|> z7{!|nN`g+jMNGH*l7n}s3*W=m%cQVtb71+gLOyf%5h&ER5o>L18PDC@#3yhU6x;N^ z?($`z<1u10KQosJxj67h1?gYGCbtMEP5W({x-)6{XK7CweQ zHZc#gDT$njqgftEXJFylwmjY<&qR&iK2J&&Z(z^pA=!?zn|<2N7!h)=Pq&W_t^knr z3iya1^p_s{dm3^(;c>$2Y^&yVj!LJ4++fcC>_8Tr&hfg=v(blfbvjQoPNxwbaXLSY zxS4$QicV*7BMRrmbvl6ab4aNZ8sw{s%d|L;>K9r+6a%?-Cv_2GQ*yoGwDTxCZ}oeW zfe&rzaXVgBiQXG01}Nb;Oz>{PW5nOyrzfApzuO1@?pwgO@GSmF6&@+u7rpB`p^{;vMDy-f|13 zm6DI=C3sdEa@H>Zv}(MGt;ktT*^Su%Z|j1@_?01j8xnWqv8PauPLeR>|Wqwv>}B@-G; zqKBDar#2~k0&NPz!<1Y#q8nltuj)x0tap9Gk*6p>RMUB;^y9f(`_K6J7h@0dJ|BC-sTGE$@fC5NiWdD^@B>)cVIH+@xP(j zi_sj_UIUxOZ?{UgXn9XtJJ$2zO{Go5OOU;@00yC8oWXUT;(oKg&4IvRd zFebMgrk29r5U%y`HRmk1h%7+Q`e*mX?7m|*I4>xN^BF`>^am#DyrTgxaP<%@1m)R|aIvJ4fwfXs3NV>ppmZ&lz_Gj1r@ zj|{P`Jn3IEcTeB~bl^S(JvK$JlBTE_1%#7sL~k&KMqLiII!bQ|{Qwf80W-2gqoh4LELJINP+2 z3pw;EB-~9)fd{wnXCyr^*DC>!0S*IipW62J><|VAUqi~^gGh24Go^XCLGi;t(Fg=) zOj<+k=JSeUK-_J9>$Uh4!I694gZNvV1pYnf$ODwu})NkfjX29SvN2*xi3*waRm=o=NFqniGOB%ed!(`S_F3Gwu4DxHP=9Xxk2{oAu%f?V_jMgm12VAa+ zfD!Q+qx%m7fEy5fFH*?nH2HIy{Vy&4msY-b7vSOXLNp<5csE`lb(KxE@QL{t3{&LE zBN$m~jBhM-Yef*T$q|WYFhPhEViVG)-O%P@Oq306+F1n_Lw-@!#?TN)nMlv6kco&q zf_I36h+K@P+c%=%IB&^nXXo*R>s^=fX*7N(sfaP3lVa~Nca23pJ4ZXQoC&szasNwe zfx%XCO7#BEYDY(CmxncM9GMmfGCSgII8G|#J7|nu@-*Db@n`cY*u#1JNWpRPH8g2? z%(h&7g+=CZmm~-izc0EZ-f1EgpRKQiGApD_h1TMgs1U&PGRX>J>iS%T0Bjhmb?nWw2~Z`&EB;m_FNbCTLPtft=g)TtfsiAlre!?w zO)hB==rd`aO~Ug>VK{*TZ`Zm;HKxHTaJyDmIeYh(0e|n_G8E(WW#$KpaVq)$`1-Qf zgK4kXh|5Sf;4;#U$;`do>~rStWz$2tPu|kodwd+!jNt#Y(G98v=BC@0Fy}I20>y1EVSOjT4PGuNB6|{$K_Z zc?bwM5zg`2=2+eNI7?#OT)R!0Ah(V2iwJ<9T<`H$;I=Vxsl9A$M3qqt%E;aChWL;2 zyWzE}fVw#0uhv>D#A|ZX*r%-KohPz8n!o58QGL|ku1^caZ1_U@=5jC0T;T9_-WPKi2d|B(ZsBHTqeV3x?R0GBD}#Mz}Mb5yUMn0@1C)@Ko9wR47e9F+%sn4 z25+o1hV~XX(4yKHX5t&uq((mQ^#&Y<9~QQj!|=)UBRsvAeh|jxa9TF(yESx@QBITd z4EsTo9G+q8S8rt1-A%HgqfJ6^p3UzD_B_s(>NcLF5A!!4(<7hot=l+XADkmpr2CAu z5g$t(v@G>qvQ+z@TIVi}cEkrspZHVa!;u9`i1lt0?k6 z=ZN)pWW$|35-wq~zb%ivNm;ir+aE^r*MjGHQ)a(>CQ$A@kkG|>YnaXo-G%~6wk1sO zlJJ7?f(Py5^fVWFC0-lRsJK?}$9l6&uV#neq{-QQfqO} z&g|5oT$sBgA(yxRGvsJueCJ8f>y}5+p5-j_z1*74BMPdXJoqeXWAwplbO^3 z)Xp1@J3)Cv7Epxa-dqc4iX4V!WpmAi_or7b_33B#?TvKmfpo_JLXdp`wav@}@v)5t zuI^$>mzf1829Z6XQ7wrx@fnjyxhE0D&1SDGN@1^*J7>Mk@vsTZ*Wu)1PuBzfsp11x z-yMiCZ{XzUJv@DgiL38|k8fZrk-Y)&Q9NUp7cTfnJW$a}ic#Q2h%gZFoKvzD3vr9Y zVBsc#UPD#P=H>3HEN**f#S6kfdJEBD;q=+SXa!Xe&GOg(b(B4<0S7_9K6=mn%5*s! zaj8#TT2p=Yfn3h^WB3OQCsi%(srSvQWG82Oy;eWBnPsH!z zt)?b2@jJoMx?535Q(VM>9sLguY^{_sBXRcyvugE-=-mrYfz1ur<_gmbYeXE?#ABT$ zmPdA8-!pyWZ4l%7TNm`?k6`EDQG6Mg+9wU`@R~&f4aBWeaFbKXK6=Y18Y#<7rkp?T zRMxk*x**?|H&9rP9u5@Fokc&BN#e2NcOq*%H4T}0=BV1~lx%1HcLwTz5%t;WWM+T{ zlf1&{1LrmT%+(y-ZmMnF?aH>d+JcM#u;;#>VkE5=xT;p{lym$F^#s@0%!vI?&+wrW zrHE0X$o5fu){NaODN*6?sGKI1+ut{tZqDD)uu|?5nP9Lrr~xYh$BQV{BF1skQD>f87Rdk0dqo zHMUGs+lgIvx}!RO>#?Loo}>1kzcr(VEnBh?3qXMxMJ{P*!+ijhlRXVH5J#_dWm(mH z-!42K&9|z0Gf;J>p#*S?eA2=%#E?=uDe61VsdT}a09D|JJ@qK&krIDy z`y)QaGlnP)GAI<75Ub!Dd4@17i<}4)?>LT6F+8Pw6yoN`veksxwc^LmdShkhh+F0t zUj=2{`9is+y^=CL$&4(V1yRTWWm@E#LVw#3XKk*#qxq?Jbo0B&%XA0{G(>X8t0geO zhNuz2kXB!9XVF?Lvg)g7@721Nu?_GQ_Rm%Vw*6iQi3w#oSMO`rOQPfI;pknUgN5T2 z0Ek&eXlHq4?%=FY|3|EVC|OL@_eDTmKjK&(8;D`_?zii@2?sxH11j-SEQ2pYRwfBX zfY&mw*&|w7ypA(|V`R^;S-7PJtJHC`WNxnC-`RsVPMpC9Lq0ypV@_Wf^_QF#scu8f z0I8#MzI4bfh`B(}y$hnbkA*@$XT7xhad zaR@*rf}AI1qHRJF&SU`W(&@2iQiP=!m&2sSi}f7tO;lXQy=#N#!V zmX2YAPC&3Ohmk4dXBDSG)ag+Z<_VDUdq^ZHNygcrq{q3iEaCI-9)+$hTs2#?Z1gFB z)&;dfF+<-7PDV`A3#h%b*3L*pb|1b_Y|*@*$z%}MbksDKN(D9zk+D#U&b~n{N?JQj6f1F5iy^edU^DT#FzV%b86~IdQZCj z&cZy@CI1I!l>HaZ(ZtXc2YeQNqT|cPPdDpYCoc!1J~^wnQGKUO5bP8qye99D+S4Jw z8yjlnIeHs~~g=)g+HyAcB7D^5mG0(U~e(O~{ZbVpY1t92B z>N$AAIT})i=ZI=z3)3Fd;;f2`MyaWWnE>7WZn++-2Bjqx8lqcXRci&ad$X`mLuO&# zw!3>myv+?hT{iMU78~VK@WeS_?yn)fP`;MlZCg= z77u*!qT-n5zE^fkcS`b%g7@oi=;$+N*GN$a-m1b!XB9X?Xysj~P>DN_F5i=9pJE4X zPs;Iz+X|WJ__u zF?)-<+-c+%ce&HBRn-58T0oHKHq_K8`vq#Ko7T#z{%F#K$pPQh(gOlR6~<|5El&DN z>;d~8E<6@g#8CkREovYa8k36bs{}2s_%@k!4T2Um)z&U^>d`igKarEPI%ecGRhQX* zZ6*D){n~0Ul2BVogb%I+*a2BPG+68q38u^gtOg# zQ3@kM#A9r|jPQ+(QX`O?fo$+A+ixwAHM48t<@*}%-RpwcH25SCDCvdK7@t7i^Xdq+=wZ|? z-oQIo>^%Xo6^U^iB9M$r*-?IF3ej#|)9J}KK=lAy5*ms?ut$;hh6-iSv+%V+97vD| z8Ah>IAW{htzEXta$JC$w2Z*NyBc*cp(73Le%a1> zBRPO6@*q+bGnM6h#{&qwNMv2ErZ}C2xMmFbx(TBvIfu~i!a~h~!dQwUeh?g- ztKwNdkA=_Rrk^8p(+?;TUu}+NeE@Qb!1EMtbyyA9$V$S}dnXExNSc~Ls2qymUk6Z- zqhyOuQprq?#+!kMaPVln1=!Rvm{|8DpYs3lB9s!j1HZJlDh%8!0sQCN&x9_vskD*5 z!o}6JC_P<=>g3)Tw8?uYM)TL7fYVnu0BCUuvBj}0y$m4Fr-26$9`KLIU6XPVX!`My zKNEvThUMqMA^hOnA)w&GDblYl>F%G(pUc-wFKdJc=}SW8UV+ko{&_%>C{4jT!dOqh zYnb5GT+2|Z(8r?v5AJ1ynSM5CV45TAUzJeF8YPT%4TNi3y40A6Vmtlq>0aHyFte?Pr2twH(P(yK2k5CK^fb{)ePD0-wVNWw{hfoU~ zD}zP4^tK4GP!!0G=3o8-A(QH79t2qqI4uYzu_14hUZW1Vo_**j=hSpaF~&{`5FA z9#x8t##@R0%n+M7RGFF}HWMOnZ1VDD>VKTtma`raoCOCP=edbu)yR5Ff1km9mahML39i}vW z96%KL%)U@$nrsCJ=a8Ao6i@Ls&Y&NMHhqry+PK7+omYd-2adSHZlmaQ7`wpvRzTz# zW$HHBKRd119;}QlXdu|`S{yuH>s@_i2;`B)xXj-~Bkr(rUc`-ul_gI8dE~KQWU=Ki z9iGMfAaX1{Q377l?}R5A%DE z4fZ-f@e)$M)_*?IPilJ@6^v1q)c6EB(F)IIr*VyGnl1oNk|NtUH^EUh#Qr-Wws$(y z-}*)xfK9w#w%TyZLdF!BgZF9`SItlwb55+IPnDaOBE%D(bLP{j1GvNu8T3*xmR|I3 zwU{WRIleVLq9JtbgJ}nP#EFEk?kzOwn@%t54~dNFJOUo*gzZqgdSUI)M7TeC5wEx| z?w(sWdlWXIXU2bY++>C{<{PFGznd({nUSm=(JRD#qgE!qiag`?6kiXZnBND(g3jfW zE^@x3SliFI>y(k(IJ7qWG?@u{GtyEBGU|u!95C$#Ch=uUqj%p#j33C!{YDam@X^O! z?IYGa-7$h0HbEPsK4IuYCV+VkUeL-fusZXMOCUfSXP(ce4eaR}p&us-WT_O+*5OOA zdqB6sV!W3%jzX)Pd;%KlDlPQV;VdouIx1DKV2BHQ3jv%G%XEhRKs9ja`r zoX_Bsoe+pJ*4ZKeceXYL#MB=* z!)EXNjEqXarp4)I!KT?ELBK=3>@uVA2r1s*u|G8NISOvCC~KMc46u-y_`DaY(o^HN zY7SVuMJ7Izz$!TL0rv(bKI@G7{s_#XxR2?T>i~NS7HS>4>P?wUO_}(Bqv#pAiO)$# z8xP2v_)Ng#0X9SwkK(@RV+*_h|8(f*$8#8siEdx+n<#xfkQ3K75zj_{-9+itCN&;N zrCtYq^7Vkoryg-3N2bL&rTTzLlPMK-w3Mb@j4d=>K}o*X;XN?L!p&<0KgK)Q23oN4 z?3-fM=2eG9@Z_5O=x0GqC#YkhL7bre1bG2J`b7Bp+A9vDUp~BHlr@~u{3%DxT-4j8 z06JBJC?xy#f?6QP!3K3RXJCs)APOI$!#zvt!gp2#~K z5^)`WIzQ;{&ECmH+hv{HE1{P>?O4sp1*ZPVLkQEH!L$bi1iVrw7YH2MWSv~V@;kYu zu*AvzO+&EPvv6|#q_$3OB~oYF&jM?eIJxu_%&-n|_{Vl%wvf+tE= z*^Yv-Wq|Fyz0QeatGrg&b4E)Vy}DAPua=uau!KGlvEJpG07U1yJRY*a2bX1pKbYXT z_gJhFTztOcgzwp#X&C4D2hcD6$%c%B`Nj@!2MKum6$d1K){4Xw+)uelmqB~47v+UT z&VE*Q`e&{luP|re)Ic?iyXK{x&I)2e>5eSt4P1Jb+kwTGq~%=x1+k`b(|F`%=4A@r z2){-OhoOv9^FF`jqSjLvlbWLNX5^s`hM}@q!F43u`30v_NJd|R0l-bCq9S}+o{Y6V znYUC&?5B~TH@0FI$XP3Pb%kosHImqetopFV6uOw0=J|q=TjWbmBYd91R={5q+ker~ z5@^_d#x+qsi?5Z{m(~^V0{N*VWVH6TBcx*2jgOp5H+Li22JO^e71 zU`x|bH)YNtgG1sm6GLoipqazyj^8!$eJoAn9$#hw`;X!BX(H~4p<(s^LQkC}=4H&N zVP(vC=MHoOzLPc&KUvNWB;71wVAfngBE@%vYuSc>?jkaY?7#8|F^N;Et;W+aJ0*J? zN}@E!*iE=_e1^|vI)MUMpX0P`4!dm1gC3R3W1Y{HH-QSc%n(aV$$Z|NA(@+bhSn|F zhp;P0cJ?n=g4H?G6!N@=tX_s}XG)!MH>o-a?=}{*%IijdJ5(LJD$Hs~;ASr-y#egH z({k(gIELP;N8JZ1ANMa)~?+Mezhr0i}>w>^O0wm$H6H&7Tdp@E_BARQ$H zA9Sn#I4L)XLE4KB7M{kROZyX$9_+N2T~=M#R*D1b+X>OG{>o1AH(`2$wIz{~23W$v zmn?y2Bnq*47ctU9eXv|CS|sFN?RB16v9#@CG`ZIG7I zdmWUs4brw@{H}w$l7tJ#AT5U!7l|&x(-5BqmSDz$mu|l3?ZDn-^-3uJiF69HPc)9W z3NOgFTO@FKByZsQPZH@N{K1{)xZ|pLGn>FzucxQyoNNze^|4W6gOt!)N16TnE*&+W z=72&1J_ql7KU>GMy3u*`Gwd&$6%NEi5YHP1XAD8(4Wb$i8qmV8-M?l{KlQ(?XG)N1 z#6_To-P53Z8VmDQgMYO{(c~;m$Tmp@;K*esWge|WJwln&bSxDn8IeodaP1;r*RPkK7DmgWFDS6Z!_&I$M0~)`>0)bV;yeJk>P-RGj5DXMUfvl5y%L#dSk~sK4o5|oNOBy zlx_`XxLtMYgGPeDP^~C}R2P77-|7=8QA-U9SwQ246}vXk4Hjy|@IVdO-l|uzT)PJe z6N;;LVXFAL>V>_I+X}ox9|I#_m&`tsjOuynDWnbovVOA!FEPGMp}&5oDx|5>Z4Z$k z1FP`m2RyX(5lAIX^(^So)3x0%gxf7Q{Y3H}s!J^c1aLA%aC;e*VHPn^T0fB_-{@V) zIyzW5pis~rLQfrmUa4oZyHs`KP zi*{hxnqpTx56D4SNFO^}3CSD>60V1EZ+JBzG-bi`qrP(yry|%Y!x(7s&Fs5V17_;< z`bx;Wv_@p8v;z~DyC!*_B$-4eVNO_b6Ye1eZ{9d!BpTO}mv^ARl)^pEs z5nPwo;Uz+PB!qy^&GhS1ym}b_{wI{PDWm!Ae_^#Zjmv@7!T&D{>dgTu4H_r9z7`H;P64zF z7Zzx;FWkS=tS@9NN==KiolX=mI$cHwZ!+3V2 zRhz_7&sTCCI9s4MT*>fo%<>$wW|7W7=zgXJgUcMN!37udV_fj_y++I19{L01q37v? zuS4Y$AN&oKusOF@Y)YK)Oynb%&aF#gS{hk;0^B9|j_aswGm*P&ddrELp49ZW+w`+e z()3oO4;ZRuBCogE7TjC@L%^MD(=E75H2p-IZo$12=@y(ZDoMM24k2FSRGA|dGNSoc z)9KDczWWC4Nv3NY^Rrx1?0zb5?)aDwpE8{|g!S?3Hy??Z9mGp(5B&Z)+`WOb4U51> zh?qv(n28Oshn&e4Jwz_--b%JRX!V`b()bnHc&00t;rAQqa-{6l=$HN1b8NaS zL~>vN-g_0^9NQVMBOII~Frla!)aeT9%dai@5Z!dg;G4yFHss6)5t~wAl z#eVxbGx+?_s~{8qohz1!e9L5mKI>84(cw#8`ULtIro#i8?dY(u+z7s>r0GB8UDF?jSh+_*PX7V9JQAPWYKi6z68{lAr~cF z_v1vE4&5HtImF-~fD+#b3>R^Ms!K!VfS0g@$Az5qcTn!K-}oA8PIuv(ZYdW_r^dR$ zG}=$0pH!irk4`|H(%XOseoYo8dE)noD)_a2Q16{$QAg8G@BMPp-?q@g)5pJCWjf1^ zyq-RO4r;;?rX0SHn0kJE(>3CYKFIpPH-8_!rfnK01vh;Y6u4d?VhDM5aHmS*hy1u( zfn8y7b^^OOpgoi&j&<-9ROYw7E(zO^3YkdpHFmf?b^Ek`xO`=wEK~MneijItF8P2> zIRwbzn(M$(&c2~+^$+mt z90anJ$SD5c<658!7yAH50Dcb-9U`?q0Km^HK=k#8mL45!DtOY1?Y|`{JCxt ze{R4v_>J$vUaM3NEge7uHypsjPw;RZ+mvcc}Ret$3^N}0$HE^^X9wP-xZZNCgriL*$k=0-|&W5(K2fv^eQaK~pPyDKc zBf&q7T$kibRcyzYO~6W@B!Gye#sq1JY5Zv;>vfRUr9_v35u*PHn0@xuhNswFM`Y9G zKa^!GbbE?Q%R(1e-vz9-3d`zA(49;wTM54ES6-efI?J~1siIS>4D4TCRc>G}I^Y{v z!WINE|FfliuK0^4d}S%+WwgeJO}&8D*aHJJlh&vzyca9f65)Mm*dfA1D9y!>NYvD5 zJLtIs$Nt)fzony2nL`E~vnC*OV!{H82Qg^zNyBOw)v*XwA!s#q~Gd7=b=0d8Mo z8=^uDST3VfCjzrSPhB-@MX^}cFI(y#S7K+QByw~w^1J1R8E~XjScuUQV^qEp?ii{D zEZ(qIHWn`>N~6RHc#&Uk69KFI({O4tk#{PL45CCHLz)i&<|;Ue%PrDAwY;!`d%v(u z*=~QwJXP_FS14=vyxJd>$Q@Arik1VJ;Ui1H;G(cjMX3*3XeJPHRKSb%X`P!KIOtU8 z=w-X`Mm8BkL<0D^qrN1+8=7<%SV_G~MR!J*BdYsoP=d1*H6bXxRUj zse6+`RjuulwGV~$4)p|xeY(Yh*qiC|O|wun3{IL09k50&momtHRJ}bYpWG%#uIT$; z1>Q;8rTNaAOrW)B_Ho*)jhzS2$vXG^xlO1%{|TR!o}RbyG=FCnop{Un%6~dXG;@su zn2JKn73V=4a#J)W2XLK6^Y{JWxxj5XF&{@YDIn?rA4k#u@NAP5&qRKQ`!U5BI9~qR zkNm~Rc$vtkmU7{hHwGBa*YZC&aQ>Dz`1#1kpBuc=j+Z?YH_CMmr=m<(>F40U+8OdhBg(cEkrUIWqa=Zznz+x$(NkDnr>3vj$JLNTUbnqt&x94ZcQQ2@-1d%@RPSo4UI1aM*h!1@Yh=1( z>cs7Yo7=m})fw^CF}rfG#4g+4`+`0LN8J(&D>+V$j3)AI-#9TK%D56`%$)@|0TBUi zqp~N3=i{9ouBU8%vtN}>F!d=-a2;-$M;xL=i{&Lfq{VV~-UlxEXsc>5Om3Y)-){{1Jj@NsDYGY^(lMrD z`x2fJ>u~Z%mjUu83=WT%JPz-$O`va6Ar%U zqfF$$If}Mjw|EF_=gO252<{gvE8>5zkS@)%jbN`R_23vZ@i^ohhb0=4ko>FJ&o{8o zJ-cHei5D*QPuqvlW76LtV+ev79%(X_Zes|gO@ala2OmW4r(icXksk9EA)J$#bWVJL z9^K(7oAEWqmzC+eV5kH-UG1T~so?S|aH~70poQ!h> zlyY_>j32EYg#or0*Lf_zcr6jd{;sL352uTi}DXN%ZKW}(42+EV1BDgHri31s!CEp#POj~=fb z<=4-Q@zBTuuZAK4&>+I#hlfh~QsNRPXObrHHhICsOdH<|c4UfdvOMgG{S zhePs3p6f-PTtBE~R_u!QV~alssL`!gS1MuB!?bI#pBT=vVGz*3At&%q&FTa)8WTgtKgFS<25vUm`rhYwS>dz{ z&Ex9hf!C68h=g;zeMf~db+9uAg@&?ZKxQ=nKu1pfpqI;b-f@BAxol_ZrNnc}qJ6Ur zeV?OdU$L3_-9BEBjt#pK!#(H(+s5_uD-zSutuGUXmO47F>Vfe*r+iLXF5o7I@Je|z z@~-_`PiJ#rZ~5MQ8%o6@UwALYY0Xad9yNri^*Po@tzi&c!!;DSyGTkIeS+s$A9V>! zp}B`Z5jOBva|;%QWPYOeL2u zlL?Bs?FzWgCMfzc?U!SB-CA8Px5j>VD;KH~$zXD8G>&bE7)((v#{6u&ERnzCB#stX z8qaDFe)Vpp=tS`hlVy~INE@K8RgF1OoG$}HU1|`NEB3pG(FM;~t%I8m7c`ZHb3Fo2 z)}01*v)KcjHJT~7y8?AW6Q}iOzy9#+TBObx&n;q(%h$ra_=*A2mfO>zT|;oehT#B! z!O$vg8a&d&sg}d3X86RHr2ljYE}Y4sU3`z;DM@ibSv10o>{lQjekeHg?91JK|oTH#2E;L57;iW^cupsWA?i&NF@nS zU#_SFmJrU>ZbI!$UHy1}`*SQ+3I+wnS@)nEX-8SOE%#rEUf{5_&}KjCwX($i6}vXS z#iKKdVuoW}j^eA;PsqPaxw1&PT`k3z*^G6o*(8g@L`k1okX zy>0*Hhf}SN7tIX8@Z#He)UIcDYnV*Zzqi-1K%pcnt?bfvFtm-Pll=2YWpL zOpru+Bo1!AD{IGzxv6CXVY5?|A^sG5y)CKUw{GOn(GFjKdI?lKtAQ*{4>^WDgqJ z?sa*=0n>cBC}*EBI+?^?QQ!MyMDX`vNtr6};}?uy`kUWo;N!U1endn+D@FDPiU32u zs<;iRCY;afHjH5i=Jg5q-t5Lx!YqJ>!2sjJx&oq7LP*2**Owua3NG<~%(1Fe_QYj%h|ks*b~16B3T`4!Gl_ zDY*_g*c3#30xIm;9Gc>a*zI$Q{rrt?nF2}CyP&}g(lpvn?g*E$w2SureVJT9@KJsG z0$g43rm!68;0jKax({Jy*t=r)4;DWTHw`7{r0W$OU)=qbXiR zzHkY(Hy{Gx&9FKpkd5|IcCRvSduKp=9}XOQtUnF&Q;GF+@TJYT<;=L{FmB&R6(E`m z^rPGKBg;jb=$603zyQ;hOx?3N+`1Iq(k&wutfS+YPVj?WqU?5uL4wh<)P-5e&IYnk z8`--l2U%h{!eY0-kP`~O91qxHYR1BN`?#IRRUGbdm^@fp;rU^Co-AIk_dt0@LfI+} z2Lw8!^Rlqy26?*+l7Aq8sPrzqHHT0s*|cXAyaP~$2k>E-%}dIV*FX^3dOGvaArVb6L@qjwa9bA) zWNHA0vJZx``_i;T*)C1@GafdYFs4lw$()B{3|(2PX{=w+TxKzfFp$O;PUxFpGMac; z--6cGZ(kATBQA7T1vfg(8tvOg*GjHSvJyi?EJlx7YilTp~BMu z>kgZ_5gp{90a;E-Co8eCILM{>*3mkM!8mw9VtCV|Y{6?91K|7((>-w*Fl1t(rvq|f z^~8v3#h{F8rr7x`wFR!=NsPe27v`2Req zEdkpjB_>qcan7kD5Z#JxLu!B~Wcrh%`^@e~x1NCMaJWH>WwiH?j3IOM@I3)W(UO!+ z@DJ=ruw%Yq8VQV_rFtI550~AiPF5Wq97lg4;em2?vNsF&0V+P2rz2FK*jMPA%bxr- zxQBs(Fy~toVPW?Q_uv<^zvz~)pm0yuUUJf1{Ecq;Gf0Xd+8dyQ$4ME19?W%e1xiD% zUKy@UhSG817zgWm6j%<(B@KInscu@ZvSYhw?<3%e@URN(hO#Y!5hmF~XH8JnSd(BA zgkh~oFvs)?x}>yMf>_5ST~%~EPW2&`ouNU$)RaJHg(zaXoH}EMstX2+^UM_2FD-SD zmck14bl_$qUXY_UrsWWsiB^@FucM-lRqZlEN(M!uPxS%srOXCY+x=CTGcT_HmM$q0 zloQZeHMekBv_D?HjE~DOKY$+`gre*+lO)p0Rgy$ZyC|X+JNsBB@mM;sBa?U-;Q_f_ zI_#mANTQKG%q;fSb-ufV8-hLWdPSI9knihtkVA$45s2C6_ZoIYx31?*OF|=lzPW)~ zR#MB#5m zT?mAW_I2SB6?G_Z-%8AhMHn4e8a1NWb5tMgEy8;$eCbb^ya>nhGcRG!%hothxanDU ziZ^s>#RVRMzSA_N&V4aUd?z%MBb^SI$dTNZ8J@;vJtQaVHlH2N9%FVmm^02`4)hQu zeABYBRnRrg3cV;N>WB(*!N3F2t-3rLLQ>rksq7}ms4T8P^nPCR3eaVoA6sTKtY*-# zX^t2oiQG<0SR?3+X&FcwA_ZkTWFrA3)xaJSW2lT1TgC=He0T+)DJg@R#&{vR=vDDC z#t{8PqB{~EN$)F>c6uV?ggIn+^ev7-1%*B%1D==H+@?>9OKqZH2vdS}BF90UABTcF zCn9N9V6AEE8Dm!^@38O4;|8ZYS za0XnWgYXz!q^()Pq12v;l)ikJn_m!71R(T!nrY9BAPppx?RWgv9JbEtzQrlCWij?; zlmG$Uq$H+aY+!r&V;}KXf2on5B4(A!WM8M`ur`n8J zo@mKD0;P1-K9EU$%=#lRQgx01i?9 zvdD{pLgfGO7o~^unUje(lq36|8PHhzS3o1?Lj(L#0~+KUyG^cfn%3_uDW4_D0`0BNQ9Af#ECep4?f2QD1VKmIA)QR6Wu*L?vF zN8PZY91FW`Sjmk=`YzY)3e276axbysW(r3(~R33sD*g*obiL_xXOjVq|Nh zU}N2k-PqY)ts9?{+(0+tU#;8?+13*~u1jiF?*_15+acY!TH8QEEOMn{Q=tp(7=$tJ z`;Xv%ETP#ATSoGDiTCcL{R&X&^}!&19`&$)9M=fXk8U|1vkX4mvqm23Z#^2ZgXor{ z@K$)O&Oq|Oj9=!_)p~hr;aiSynAgg;alB1sy3d2E6$rAS9H8z$7EpS#oeQupsq^+i z1aGL*Cf$7}7SWYs8o9K{-2t)qYCKGkm$*SOo6o{Xu)+ukHim}y5R1GLHBm0-mD`4L zd_yiT+LzC60lUWd>cWMx_U_fFg z{|wKXx0d`S1yN%SYel}I1;56Ek0@9?6Uf>%Tcrzka}p z=I(Cr^|o}1m%%6c0CyXiG}G|_n^5cZH=m$=;5s$hY;V`Of$r;*O&6qP0vidJMb@B| zJDS|<>+zbB-6n-0ZrHF$CmyIGBd8s3Au__@(#aXi$621EL^RHc{P@x%>TX`Z*YUzR zXqfw5xaqL(=0!-1d=A-#7a(2EcgY@`J_497yxGVcT3tuuXeHTQ{VRu4#?X;5909>Z zk597SNzTQ{a~$*=Mmk3xEu+<2xkHn$F`@(vW#1WZ+8$;Z47hAkn=VYqbe?M{q^^F# zU+xo{@+t9afo9TJsVp&;4%|3UHJbt$Bm6Ab9-R?_0FO<%bmk z;vP8zJxwH25nT*v|rr+bw#)`nQL z(S|AD8>rs#GE_fBs}ICPussN71D;IhNV80Qq3qX%lXlos&6DDrvh$$& zwEX)0jj3dW?myKv@}@I&oSibbWK{u@>$t{kgu+SpuQ(^aP^b;#7y+Z-17!xouy76iRwgWbu#7^JEUa! zDo%Vu!=+#=b8v;mYlEVcVIWk=q95+=zcUW=4-2s@@>V=Ww+uRf)SKSPcF=(zQZ+viO`553 zKpqzh!R?QDf`u5FiuQ#%{oay+ytZb5)E*fGXyh)frM@j)^DWDEgK`$IZ%Y-m}L5!QKhn)x-xSme%E zi-TNq&b5~Ky5L%{tIoK784ND-DS*$^fAr-L}T+8`GMRNYf{W08iP)0*2GGvs| zkQ*O1?UN|J=`liXR^lE3rmz9`Jv#QpfrX3ovVJ1SLNI8U?q+Hr~DYjf> zK%#?(*a#MbmRgWYK)_g%QZ7vg(?EvllqewK01^~60&4UChFhJMO9tc;I4D7p6SU%t zQ#A-kI28Hccdfm@Z+~-Xqvt&T<$3--Pc!@5d+oK?UVH7e*IxTJi5ko<*EdiFPU~2` zG98C)F#$@&bE(H(alX8(rUq<7zd%#FNvP>5dPr=L8QGFGmo6fMm(u&m4rCmSe}Zfh z7;r#?bE4bH ztoDLbUmGNm{&Qc;!<%0i(6Vtr(F^0lqC1R#yY2v1EgMfg_2dmRE_a5Xb(m{b!XqM|h)`$##t zxqHAUUS^=^N(O4%riqn@c;6-v2PSnpK|Vx~PmxoGSiGI%N0b0hG7YYHb98Z$e3Hy@ z^G6<66y+e=p2Ku&#!Ew4nkMuWNdcR|Zzvh)UOo&1T{YsvixI-F^K>I=s~~Rs3b3B1 zH1cMqAf9ZoFj8oMJiXD54nS`^u=fXsfqrfAZF$CxWoiWH+JIKI`rH-30E7tO%L_^c zFbHJ@3j7vnP;rs37}FqVqKk0ER|D||+tAb)l!;#Yr!5##)w?~6l<>tUpN)kfWPa1w zigv{5ic*^mhQVgQ5P z0MkiT6A6cR>3Qf#@6y^#?rFlC71JSt;g58eXfw)Itb>e~Q4(p*?1<$WhgFu58ScUTRhfobqp+xn(E=$H2d6xc`H~29LY! zztQj~O&-f-mKr|PLnPzoGK%psbix!b9;glF-^S=e{9s75ZW4Gk_cE*iM8hG;TtehN zhRA1xj7mhl_5q*BF=D$-Gp{5srLxe$vVGrWjY{2<;`#8Sv zpMHVcTr~^<((xFH#+=b~owUN7S-G2P>Um9Lm#pxDonqwd0+JN5>GA>G;XAREY5I`? zqaEVGn3<_Da=d6Vq)G(5Lw)C@+s((8@rOm)FXbR)`1lqm@a&heP^>@I_F!tsZE8Aw zvzLp|&nBSKO8Ld=eaFklR`4xHb~Y^VX*2|i52E(u!57-j$qV)aZJV#=3` zQW_K_8h+_el3$DWJ|&N=c{}}`nh>a>aY02jfUi@sh^@ePbGHW@U?Pt>HIVBj2?&7X zBQ_GI`h=B{m`3K1e#Ad@p8#35i+VQ2zYrIbYZ`>=r5iCGgpWkkBG+dM``gsIot(^w z4FB;EBEv-S`pnu)hpfH-0Z~$-DSvqbzRv6?^uv<0R9Cu419_dv9rX>hI{^dT!fX%{ z%#VAHFbZ4vJX4DPEPDDfZ9z06ybq-L0l^E;0!djZqV;`5DJ#qNv|}ZQH=QWv_;!2R zPM9f3{STJAGv3cB1%>10}tE^HKk!y>Drj3KSa2J4N=m zQQxbUpD28}QU+4TQ4~VHOvZjUm&_he0rf%^w;}|DD}8E*QBa($T3lJ#c>h7tN)#=b zYXYsY{XLaS%>LBfZhh5>FR6i3ddUzDBo3k&5FSkoVo*n43v6nK$)FX#wz7m5A-B{a)r@5NTxd$Cpa zUf_C+7rFOBP{`hkv0@zKP~@N=llQRzZWCWkCq!``?k7c_>f$^mKC0GS8!s zCaR9~D10cvvMqkF6jqK1>yT+O{E9=CyzlK3-b*<)o%pJOm+7W$*C>nbpeHpb!qJUIH&?dH7E|>)IbSk*Eu9p zXs7^5d8=6=kn|@Wg8lKY8&KDCGD=o>;{c5VRHnrJA;v+^fjS1-J-4M$l>HnKiY5*} z`F?EDnkk<;1%Ch$0)p{&4C5_&*6LiUlVpjCkzx18IIF@u@Da=pU*(|~Qxq2)6k`C9 z=@?mG&SA7%09C^i-MD0+f>e#rDz^`pt83J7W7A6UAlw2(T6PUW%AYd60O{7=ZUudE zDVOZrj12JqR^t{HbX^q3uFTaV|J~2Bt4HkoBu*e5=PLBsyzp}eU|nh_h8{<#gRYqh zux6J-y~-8tX@l2GNK(`7>ru!fPb&k%1Q-;L8B~yv&8}cZE5xHYY1d2VDMtb%i}$q! z3f&8Z7EV`$rs)D@h5xj_h>78K2@9kPJO&tpLVbQNisH6tM8B046si!nEylDhp7RXW zifuve#9}JE9=D%!StKoUILKnl%nvsr)Nz_&8(J{{D^++!swu1^c6sVm8leFUeFi!C z(aP@a#r|A%o#-+|*2ZFZb{ha@@6x2z|dIl~Ax-=w$i$BdQKNZ!T+Jpji-RiWuBfL&ZfHv~3W{PO23 zMGI$*fH6`XXg)~2+AZS>V06F2*ookbNYA;RrZ;l#W1)^g16mme-F_OHz1kqwb#!zRL~aQXx$SC~$)W}4{{~J6y29{#v@3uU3S_xW~&n^*MY?4sk8*k-98p? zuLQusp0X7yQ-IGU-*o~WrB4b+{aQT`h(=V+ipI-@YR zI7K2~iqI7o<&v=t(X~{REsFc7O;Ij7<+tZ||KFo4M!lipe^^)Sp}nG<6mCaXm{u~~ zF0doXs*%#Rb%nLK4P`5O`0Tw(bcHK7ZbKKzfaX6C`L*GSlD(Y1t_To~fz&JxEiT{i zR#?i_*c4f;{=70NN89hpTqTXxojHdbh}P7}?=mZf+t2PY7nOH~R(MnQ9>pBKe@~Vm zTTV**xzb#!+J1vwv4%0*C&lY?Wt4@}XO z*hMb6Zoc2IctG(<0}WHNo&&TW-Vzvo3FIJ{UTXW$cZ~$5Md}2 zUy_N};Cb6zjBpc~8*eD2-Z)^kH%BScIl>!oK*>1lEUy1U{W-u4(m>{yA=!{w#6GtR z7BR!?f!jnDU>{r+SgI?r=W=RFvz7iolU$CM2(xX!(oQf{rRR!6aZzqtS$t)tBDUd6 zx+qOYJCGI$iw-h&##+YHmV;zw)sXjnre$aBCrG_kzH?xN4I=YDBd z>A65*xCs*_-c0u>gMmS^9)O$I)M@sIr8DwMO zKNc79n~Gf)*)WQS@0gvdUgjybXHk&Z=#Fz+v-rgKHw&|*4AgE0QbD*k#c2TthLfFl zA-&ADcZm)6;{2RhBpCK??Z@>8TcJQh`CFBDpo>pLRNBd%0V+zKYym=`HWn9>VS9h95d}(rrRb z%Su1B{eNY>;a0t_ns`=4I2UEt(Dx#>;=+fE!3W!j9i9Va3SyWA5*#bon(VvQ_8V)^ zd51XIj#-Fk(zYS&M{hH+B!c)v0{Kll0~lu*s#a3AHC!!TXd>ZZ23tE9&nR$&-)m~8 z2Pucu3;o~)(k6;%ddF-J=?pm{sPQ{=9*=lP5RF@pI3g9t>%9@{bo>!Q9eXLP(eYkI zalsuH^;LV6a6!!4s*4UV#bE3R6cb(s#B7w&7>MC3Rc&f2NRa3YV$!MHmN8>El4uC?7n3JAmT3@=TtvpoQ zrqndOrwIi?kx@xS)?bEO=dC0%j2}w`3G+K+MdkbAuSlR8&ASvrDM1XJn zG7qevVfdBhRvta4gcy1GDHE4F7J*dADx54*i_t(rhmEX<`6bCo3+=cB!3AAZSSEZ(py;mq!FsCD<`yPX_Y zCzJ`~gP;dUIh=Q|5DFj?-UucuG2j4&!T05p1NgEWfLwWeWc^N;x{i6Rg(^T1q=hMC z=KiHcXGmEjE+s95szwDa)v{cElLBwA*}^?fB1!;^gZZKTe2d+sgYfXz#B?_2sX$nZAn3Z;~J=kYAqm(qV_pgDqoWI^HL`j3@nsW zNy8vgmZTDg>`JkY^sGk}9Y7M;h#FqT_p6AqQGa9gK8D5u2QsPtBd8g}sYDLa2!_%y zk(4{YZIcyyr{v1nlF~bNH4rThM2o53C}i1{izs@=B;Y5>_U5w$yM#{@mT3I%+uVZ& zDoR2S=c^#huI%Bt3V8&9_@J-kFueDsbK-0uPm*5~@ub+iWx-AffYG`aFp36of`>H{ z)Fb&~vXz##YXAuyA(E$sd<682X?&9cPr%BUgoRe}T!ULUWgoeq+N%id@rtpMuzz~@Z^ zrxHRbqQ37(2}y|hh94zmBdQxwMxCC7cU$7rr?{{w2{QnjZhD(CDArf3Bm&w}R=dWh zG;bVBtj<(*Iu<}+LKj{-(^vrC)_ygX5;Lgt(6Kw6<fruK0p6E5Ch0=zFr_d`$YKpJG#xD0}5&6uR?zK6be>QsOBz|lt* zQ_=aFvnM2*GQF~s6Fpiw5L!sr$Slp3r!}ZIL@u#_`Zk8$*SU0)MD;q2Ona$=I1hx%~GA z@?-3FwqmrHic?4+4@)qR%5_-(bj5|FH6Ur2!z3*GS{X01o^?-q0&^f9Zo;!m&I zfOKB?rWr7f_h#tp2zA!^)a|5M$Zz1=vGYKTG4j=b#8o|TsYk=Eoq z8>-NV1N#vRt9&$Bx6qB}^FRPt7(&&?XV6I{KAK820G)OMB5LJ0WIMt1_*@#X=)ahU zG{nCM5eF+R}k8KA{ z0~%4A&CN&Mup1jA-aNJ(--u8A z9}zf44I^zh6^j+KVA!otC1T49CYyDk->llh5LqigS)4BRHZ4y2# za?1$sL_D=n&kpxfLCBW92bR!_Wm$mv7Fe(&1kbzZ=<+QC}@em@3HMMk5Swy|p3y3;a&nPvtM*h1dGBi6SdgYPqhI<;@Jtnc+vflCi~ z@>_P)8&Z@raOHXT>O1is!^e&EOV7Yf=t*b4!<(>lo5bJ1&g98H9W7wiTSgZ={K zE`bn#LE-OJ=rQJ4X;~;1(vL#M6a#KL-UwZdVuhb-gIT>zQ``PX-VW{o4@(Qw*1K2Z)tOYy5jn5 zifm}QGRa}L9O>TZprr2Dc@Rv4oKJ{j9Xxo76{!?=z0*1n0rKXJyTjd=YWAui?uqy^ z)fs^sOQ1mKh__}oHUUFfdUFceu8;^Z=b@1BYrO>%_`-i!)M|1dEONm(YgQoKZq16n zn=8I^CSNoj`4L9Wq|OLo0aI}1QYGsU+Qt2gWAQ~zT?5lwoOhF|pIOxrZaYK+SoLEK5 zHx(1T%ip{Z~BN zu4T0o7cuC@|2^=jC#H7;0^MkONG9H2*j?c8r{*0z2&eU70-AaV#@{ zhpuERC7H+-cbHT#E1H7q7L0Zj>LJalP^pu^&vw|?*mnrskrj73w3AFoAb^l;8QZOR z4;vwYU|RB4aDbqI=@BXjY&3lT-vXi~_cb7^h;y{&W=Um#G4cidY3g3p$!mAein7et z3!hFu9o36Ab#bEN#P>?PRi!?H>5-nRweHB=CqNXkR6-2CDUIWL`R-6~Jl9ANAOpc5 zh#8FIQM1c9zz)U_Mi;?>s>1HWVgkq~nL9|kktePAL`G!&{Yn|+9#z7N%W1wS%6d`5 z-G)F8?S(P^wrv}W{ebLG=>SjF1fiv6a9hACBwDr~RMxzWmmEa3)49I_n}J&4X^zUe zD}=9p(I)!un?NAnZQxX-e81K~^eh=fgAO1FQD+7y@GJe=A4owZDTUFc11X@Qh#FHC zQABexG^zW5EJE3cog@S0>U`#IHL(cCTNPtFf5$jw{<|^0^lTdnAe$%SkxvN{A~SIl zj6)4g%XC)TaulN(;AQ550hyoRhd;W``ZUMIK-Ao&@_K>S9Dv3!KU!SAR7T!aSaWS* zTAvmNmK=-4H^+cg#=F-rD*9}RYTle~L*V3q^cnMsW~1(fw7%q)j}RR)qVpau(K z%jxE&mI=S`SN2p~8B_SErb*ou21^z7k`rS|56eV`nw(_Ni&@-<;8pp|YZ|{K;sqmX zqi{VJ;k8B+%5aP(bNe+)NMz9|NYW7LTV&`%&%jD>;t=TXo=n$8_(HWs0!*yeWy(2J zhOI+oaB3ORp&9`>sCsY|ga}36&3|vG{w4_kv(rRfWET}G2P_AWHo&fZ69cRoSH8fV z5=&=5@uA_k;(L?Zk%Ke1au70uoBOIWgDVS#@@w9nAk_SHs7;-I{7z_Ybym zg&bv@H`o*t6T@d!AkPPS{OC1U$wCo z6V2<5?3_(5Cu+sKm>FuJ<1{Dljf)c5GF~ZC1jKd&bTr;(fQr)FOnR)H_C;dFd%W+0 z7`>(jwXt@KXcZAjol#^FwpCD8#;hAn#dO8{ZK!|b%_3WZ<}Aw@TfqU*i_)UV2}IQj z6cCx|gkB>|$_oj^@poXmf=7-A3q=kc&QqgoH{)rs`n4&AJ;K1}E&^!LYc<@yO0K^fr^ z1T#%)nKW4fjF!X<64})F@sG_puFO>INYBIeydd=Ms94s_%>7c79Ld(sJY+B~cb#ws zBYtS83<3oITVnc)2{*oR0zRJV9HROADE4Szb?_HW)(-*81jU3m7i6L&w;NbDO!!Jf zqP@n@ZBOM*FkJ{m!y7eLjv;4qcbp_w6Q%X~BVBmAUXjTxQm|hkS&DD-Zx=A-^lO5?>p>fq1fxDKK>8HkLMi$lU+axq%7qseW}e4%iwG$(gJf*+4uztJaUuU_OOZOhX|x)n}`Pc5}<@Zvl$6(F}KCt*hq!c^&RUD zwoA9eutnMW_!a#->?suNSKI<=4dqYQ`QSJx!X#*mH@rCBd}JO45~_moZVJAXLjaES z6n5~BURL*5fhrNs$>la8Y2%DV8t3?6zG`EXe3lhwpd2c66B#N5sF8O43hsmu`WiI= zEQL?nxJr0DrD6da1Q*>=f~ #Q>WOzaR*+0$a88oT}84Er^y4U}mS!8sC>YT}F*9 z(*OZ&2WP;R$olni`D|d}xP{I)EVENN3msURdC`s(LpJu1LqQrQH|RVSnX< zslN-yett zVGUTqY8kEjg_vcB&KoHe+inU;W?6m8eT)#6Sc+JA?onxAishf4Z zs22GsCVzI-&mWmETN5QiLC55ZQ*E?&-$Go>;GAwH`^G^Tg|N1&&*=u9HPkDfvE+3e z8vu<@!RtH7fEK9j)$F4JWB2oA{k14;tBON2>8%`KKs0>RE28cb)rdBh57$a`YB)fw zBZ*d|@gKiTQi6_Md}m>>aKiGz&`wi#sJ!6|D z2GBNWCvg<6Jk~FdNF4wS5+61(;g34ll<<+<=RQGGZA&3yBaYVyt(@2?nj&i}Uq%DK= zyRY%;WfvdZ+NOw2LLSlCE|BWV;fKO`EDgdn+YuWo8)*x~*B8ZeB+r^W4aI3DzB(AM z$EAuyu-9*PvKh@@n-~XOC|Z_aC4w!&hye>Rfe3_6119@;jtKop#}aD8Haj)bDcLxH z{V5rh5WdVdVsMII{-U~CSF){6$GjGfucj-BrSvee043*i{s3QgZG0Gz!zn(6bC-tp zhcgy)ha;Nq>cANf{0>EWrh$4*#m+IVp-=CK;_nQ+Te$kp9U?uy(%OP-GdI+ocjEoT zKB^g!9!^hy0n=O2a;HK!vt%?-Y#~N~(RlZ!csz+g>G|Bck3h1-U583HqBF#kFT~Re z-uTZdghq%cl*=72($^nP_Xz|Uq#EL-xTK&;e5avvZxm9FtdS7TVTTIF?_EOmNC;0K zg@#e>P@!ImEbP$@s}|Uxn(!_IY^?-rElG05nc&M7Ie-s)W-*%>U#3xEBvVGL?#%xV zUDO|5kh9V{jI7t`dduzJyt*PVS7*#3%yezUoTyg39`hPX2T9v1O7;nShLsk}G;l(= zdfR!?8)O`i@i>OQh{qa(`v$gMFjs0Sl)N3PQL>m;EV%_Gb7Jq5tQ!T|b#x>R=p);? zLI~sj>uf7!gb@~9#!?aQZQ@;&7{a+NptCWup_$)6-rhzHQ?kzmhIRd-jnv1lQ^dTy zRh^$g7|iDMT??QMgo;d|&bk({11nnwbL0xME$e>(`;LZg*=$}GA9pJr`J1ZHC5JQg zL4^KsuJDP$$l8(ZN$E!ASaGXtN*z<5tnxTJZRL>&R}?uM15-3A4UScE>})7}a-StN`njkP&&7uhs4F}*vcfar%`X~hAj3YT zz8~|{#-z0&b2c!6bodj*vW!LfF%sjpYf_2e9GJG)p3sb0{t{H!paV5>o}f&8AD0oz z#lzSF%1Q6ZH!LocVtq(2w3vjDdS_2SDxJ`Xl9>+gi(Ix*-IWuZm=sN{mZRd}7u*TS zC4<=BJAhL0&E_i7pHyC0gXfx6Jrc*!Q>rnW^2R>H6`UWMV1wppv`lpU!pLj>>%PK7 z2lIFHl^q!|Y)GRQKN5#RF-tG$of;ifk@N_1Qj}F%&EebEJ#tOQMpkovH;{x`%qh*V zj1|WuaUes26Ab(Yufm6Ps-N%*$U$n!>#V#Ehz~Z>_@vBG`tdVSW_|_L#d*~UECW1k zBy+4ifwDjeZ(nAk&aD7Kl4?Hv0!?Y-1*-&DJ|6eVnvOQe0?PwM;Z_kJ?It;)SB_M= zi|bw(6A$brx$CejlyUQ*Ea}_>EYsj_n$&$Dlf-nj#UyThkmxNW$RrOealvbrE4Yz$ zHrWs`$3Zq&cTAZAYUY*8Q7heg2<@0`sV5TKtEG92>d_XmHda;S3VIX)%szs*`nqgm zR+ksn(ndyJ@~Q}4q|e7Y>f#MbyUAZHJj`qGy71Q6mW`*Nd6sNET?UD~J2(sE*W%`^nK9Jb+)iO88rJE9kc@wC1Su#MR#$#GXXoL8tfTt9D4pxqQEpr%!0g|I)!5f5OfziPbS^p#^r;fnIyfHY5XQPtM8RW*8Ec(+QlRbeu1ws>e zR(1` zOsj>)wVB4*OoJAaa1p{P*#KVasW}I{=3)gm&4kV^Za<^uyk>H9e4<{X6ge8_!f)7**1yTasR3W0gHGlv|IG+?GvN#-Wl33$9wuXk;f(Fj;;6`vPHT=iZURO|El|Jpo z!F!NPL3CKj7X9NFi4p?3Vr;Asb^Sa^tZB5rsJS2>2G~3 z)2})&aTf;GEwq>dW(C0g{^nRAH9IP}V^$0RRdIiFb3FgFkQ&UP{cS+Z3aZ5cx4+qO z7-|s*K#r!*&f832-5UOiU(o;zWJ9c{sWl zb?lfEeTXRaYtgWaa!R)N?5kNg9K*1;Gj8uuPa@adM$qXL6WJf2?}x&l1D6;3H2M*` z*Nd*K(y!q_z_yR2>xf}MC{e=cO z(Ez9sZAy0z_uL57jwq`jD?|SBI}Ox90QiFr=??clp+g1UdYl9r8ARD)6Q+|;)})3q z5HXAYa%7fCmDh^w8Gyai)p(v%K z4S``hN@jBRd_bSKfMNuGg8_p=t|DxoS;7ad0eSwE?H>W8CsM+7R8YB zt=vIt<^BiyA{kBj)77l^^E0QFTE@+J(Qx508L>I4qpfRYWfDEXGrC;=)F?8Dmz7fC zJ;FfVPa->0s})Ufk)Fc_*8s2@rlC1%vmtJFvS~Bdw7Sk`MpfkgrU9eD1B!f;0H%A* z3cw`Ir3_XIUK^TOUoK@%Q~@QS#gxry?S$~izmBH<^Ya6DEwn*R z^#c;NvUHAq&%Fp@xVU7On#=;ISys&Vsggl|;v?Mt)vb0n4iY%v`kTqhRYk@rltZVs z-Q1#1Z90cnqeA*j_k{>W*3Q-vYs^aN6V6|MeF=&TbvwPwgbkQWw&!XDC*STUX(C8~UTB8VdvLH>~fb?-tsIRqM z`jDEt^rLJni&eJ9<&ZQ;wP>j73{tg2q=(jD<#OkRt5A@>_c6JtD%4>{0rc}gI~f#+ z_FGjiZbOBN8chg87gyTM6y9|2our?D9!M`HSr2zv#S>^JV8%T(76WQ$avufj)61Lb zI@Z)Hke6*t!{%_*h6m2cz(;Xbx)j@AbZMuw0=B~*XZjq9Dc^4$@!`Uk?YB~K_S@YK z;uccdTQS{0Z@onpyqw<3`37Fuq1ix-Lu{*@H#Eu07mYL5-?wa|nG1RTzDX+am`p~R zK`uXIF|y%922@eZ9EN;^3N02SPLQYr0uxX{4jqOf2o-n@j35)pS2BjDYAh-wZg1Lb z4_?asaJ-?1waFr{?=GB>FIYN(t#148&V`xHNCVU2`0)(_f8!f^7#C)aLZ!kNf&^<} z0VVtQb43az8a`R*#Ej=lV*kixGr&!F^t~W_g?JPqx0`H>EHZhv>yx1c8AB_mkxahn zX=a5+57_@*~z?YdBS=$4}*u5H|EAQ3NjE=qWJtK1E_w~CfvUUP8 zgShD(m*n}qb|1}9rqNP;=AJmX1fjq~L6iDD^w1`OH%6vZ}r^Kts13s^O3H%(gOY@^m zWVTKBFhn9KeIEvtY1e$iR15s({pAYGTVe8KW=N^7y4L=^sEDZKkWzoM0;ki%bc$+&17{3#j%C!ooogh=(6RR*J0gK&(iTkMn~ z9OJgO{Cfheu{khE*zBT!qGhv_;kbZmhfZ1`}}6>z3?pamA0y0^f} zQa86b41hwT<&0F+oF~$ufaRQjD%K9u;UK!|sD+1D(kEArVBIlZXw~Fm)Eqs=$keEy z{vg{DqlEDzVW;)BaEja6=-kV<#AtRVAI!c9&v5eY41ZER@|6-#E*PMv`8%;gSQEl@ z_`<1k#ZT$f8Obf%3oZ`}7FoNOm2@P1F(RuBTtUqLTykAE{x-Kl^^8h^;`RCHPRMU! z(hELhunsEL91f4?LY?9KI%bEoMeYe5`T5SzF&IzP{p9TFph3`Fzl#`e^y#cR9nGnC z_3qViF=VYfw+H;j7yWBIt>veBq^9WwkKZG85EpjtZeS=J=!4^mit7}vN2u0vzKl9y z-is}=*v=&h8+ZveIdN?*YQlSBch!|`5IMp4^JXF5>@G!CV{%=-rM^a(U;UaeKg6F@ zkABf7q`|PvnM4jvgq0L`b>m1rOb=&3W~n z(wu`}{9vear{Q^M&-`N_748qllN;~jKHLq6gbW<@HDt=|^)J%OhzS+W2m3s?j?n}& z;@A_sI}vCFrj4Qz@x1j>Q-P&RaS+m0ujFYDc#8cppHP9*fWCRdZY9)lneNaxL{=#{2G7LwbS5=FmDD%J+cl8fN+ z(bC2o06y2H?v1E-Mo=fTSWo&KBvD|C_%r_RV8I!4eE!UG__GJF=00H(!I(_|24f;D zEM1qCuLV1}MPGuVEn~g{%26a41GVZ)LqM&{IT5hL92bds$~AJ;p~!DlZKP*!9~)Un z_*B_5X;Wu*x~CCJNcIk+!Rmu)KjIU z7rfWt13yE#XWs{9G0P;LH4>@^1Jeq49f<&9Hsi}bQ5q!AJSZ5%S8Vf@F7Pw}`^O{n z{-HHkLlneCZNBBlXx4U6WE0(<+y<< zr|p}Zby|Juc3D`2>B+y6zaBCeMA2{_Q#hS`M{9mBVLXiN?W@h*2hW0ENH5ET^#~*L zl$U)>vDs{PVB^`!rI>;?6jOkx7m#Pn$rGJIp0|)^(#calg*>k!&xC<1QC^_q8KldR z%x6S_X`ce^KOlFI{yhFaW&7BTLn;I`{c;P8O+*u#{p+o6s09@Qz-+>2C@E3K~qmeQ9&~D{BYZ~dIUTpbDIP01j`-RJnkE{DIT-2NIA&6|vZ%N-?@a z)q`%H?rJ3g_l@;~Bw8q(eLxWU4g5MW+|+?-KpgOy5@dEnFBtPQ`;CU%p*; zZz$PwhRQC%7N+#engJDi!nSatvm{Khjrgq~Nm(AhQ{oI%IY|N(mSk`ySB2+zTsNFv z@F`Z`cIswW%fORR$MvBs5GG^{8EA=6!k}6g%rjZU4tgK5O>4fdfvtJ8QXR zU}X%Y+Cbm+`Vi3H%rO$b*Rc*>FGm|Zbh|d2^zZkF!Lg&rvGjFnGK$@5rn`e`C8AMd zwsH8D8XIRyW@?Wq3f(r8I~eAB*;0&7FlC8o{fsEf)##Tr4t+j>9fy3+k>cHFh!mrUZRwg*+$@`?ySheiaoV}Uc>DBs zp-xWH>WZ#`W5k;6#$u%kjB z0<709KMv~LvG%i`F5=D(f2$MrQ~Xm3h>f=Gp_fBP_hk5@nb@Xr;rk08WomAXGUWis2PwwxdH|m2o$od<%`X!HASd@3b0~Lg8F>q~|(F z3Ha=9<66OcWz}M-k=k(!*dduhoj~DF&EGI1f^Ly$+jT#!G;Tw$qORA8@#1zZT*jSV z@KKk()8J~#b0J7sg67?^vqO;=Nfpl_tLgoj?G}#NP}DRKj~nW^VU*`aknkAA8^a9; z@7znUatn=q4)K%8NMmwvwE2OX<4zjU<>tlL8z`U+<#r2AMFF&a+v#Gzd-om3*uWui zctmcfpa7ow7W(*!YR-!S;O0{6PO1YTxdkQ>ojihXbn@>b4?6kn@>4gR)TS4NU7}9| z1&##wiUi~Sde6Yt5fM_nT`v+wtc5Tfa`{~}4@N=0)mQ41eg%Z1NhKZKrD?$Q75JHg zu8)=9QC^8;A4t<5xiBtT!8jVx0y`tYEf2$H8c@FzKSw*)l zb_*Lz5+8DAolcT27kEbi7ew0-em40cp5jQ)Z{hv$4NN^!^lueBBEP~#l(}V~73E5s z@8q=k`L`kQ7@L@`X~Q@4{9f|2;4J=F3+vK%-tpXDe^l;IrA5(z5+GBTEC3&;TFd0-?0_Rt=!{73 zQBy=GM=fIJ(jA%BpzoEu!gMPUm33Q%`Ndq`L9JwAq-(}^+yX{U!s@nMc6-)QK%D!v zNko_W2n$Nr94$X}$I8!w7=J9YcSh;9`#j?_dy4Z@@}$k{H3!;|Y~_*>v)x8#zYpxtgRd%IK#MDUjQv`WX>|v%@ur8F__+LIVZ&kfQ$(&T$>1Q5KBqd{q;r>jy>EmZ=3XmV~H;u z7!KT-@?6gio{H5|aUX%IQHUzT$q{Pm^w*#oJgzK|;wHiIQ2wX*lWK;yePjHb%pJGi zeo%a4u0HwH#=q~K+%)&E$7`pDYO*s^)@o?Q9AnUlB&-CwZX7Pz4l$`%11{-~tos-AY`;PG7u)2<3Jv=~AvF|ZQt!5_<9h9B6*Xjj zw3T_GmqvT7d4OBU*(k(-;DS5!$o0RFz9gA&z!u$P^YLor&l>e`#bW4+AjlTAQ1*3R zrv-`n=6RTqvD+f+@9?uqHLbR+A(WoZKIYe%}llIx(m8{A1F+>G4i4SV7%od9wRo(NN#< zWd&wG9C$eMhFfN75!d_>Mk1XFobAAG8h)wCSRh5Xfw<8{yx~=h;JBw(I6Jdp=PwL?ebvG z*HO&@*wHr8<-y?fNbEL=@L2r)YvQrE5z&}ly#y%&N8UjsII^CR);RdlpM8#)U5iuU z2s%zIp6qESt=$ju2PelKRq>O^R3liz5N-rOUs`^QqnusG1c&zB4MD<`^AB z(Zzb&3VxIp`^-nhiG|vi*^W_9?pW|!AeE(U@=Apvz8B~7arkQP@uDb|%Q0XRDF6W|DYY3QYo7oDmXDZ00tbT*TT(*YLiEh+G`Tj8aWs?p> zZ6+wMxrcX&X=CgPh1`U4=uy?>bZoW3g64!g^5MT=DeF>V1#gTepNS{`3i7YLPMIcc zcJ7uS(|8#+B>6B(htUVFB%gRS81qXt$AxR|Zmq>YoV!;Ohq1t5yqlg8{!zE!R|~>j z!f~q@3*&%7WBo7}?lB)OQv^59g}c?jfu+4!0OB{?3`@;U?70KhD`8hR=h;rqQIm6* zN;&__NSrY5P(P=6Xu|C5JO+gglaetZ*&A+M1rs3XAs6j0IgTj;b4Y()cm+%$J#W>9 zPzSV@6yO}<$74!HfUw5Xz;v)y?IpkBm%8O#pyfzAx{Z8(8twQhENCDpY2eY=+1|S}1>o10(W?SEP>xgRrT_Ig}hmJDe=a02rKA)FbODQeDCXGm; za7tn6;$v!IDS22Z+bZQ$E#+fwDR1P8I-Pn6eg{=$8TFD@myG&nR0%H`5Tz1XtFMlE z>LzAu#ZKbX>O5a1$!3jk)TtO{6{NJg+9q4_Dx0itd$Ly7hEWf_`FQ?V{=WT(qMEC^ zd2a=E^Si4cY-hu@gz`laT_s(^QT3CWm_bv>`%JdpMSUTIzQ76-k5x0jG-Hi)<!jn$;r3KzU>ZOyBKt3wA;0Av4vN(Sin)rT=IHdxQ75| zMWfU2LxA`DP#F&!xDqqg56(Vu?J9vPQGijk_J#a*_Gp%LLJTNkZ<1r2V%NGPH7eqj@#^3*Y;TK9c(kXPgR3vt!Q>fz;`DY6KoLlI} zQK)C>nKyx~!PdVST+ z^~c|N^@K=uUlmz0ODP@ZVp8{|Xm=j>6;R zyIC+OphdA^VOmFh0Ujt^3CLQc7hK?GD7=jE01gQ+^&B_#Nu>568?-XLpWT!1%Ic5s z;(bt;cG0&PnQ}20;y!FoX4Ss()o1*sEV{`>-VWq|z&rE2`{HD}Y_5JBNX1*T)&#Dm zZOR85zAh1XCi{B`Fk3twkLj=HRjqc>*Rp1-0Wl7Z+b9KLwbc6e0y9-Rr+)=@m)GH+ z8ApCNu(aj(K&iI2FVj3bk#;*ASeooI<3%Qa2+4+XJYEQ0Su~!>p+iee+41a0E;Szm zH7G2DaVnt<@P^R=1BYTlxjhXW1|D7byd6V^_4RmT361<7H{0g_G;Py@M zU-2ML@F9NhLM-+v9VnvodAF+~FvwOs$6a+-Qjfl5Y?@2vs#2P^fG=-SR>z>wQn z6ER55lIr7>ok0wSgmQ}&F_P<{`R|=y+#~OCf%o-*F(8N6l>mRs1%Bh#QZHbpllcoJ z!0TP$tOtyH7sDSc0lvfqzR>{3!@OQrPp{FbJBpKSj4}26f}7`TTL9glI%4f#pntGr zoH+*Ba$~T2^S`MeGKUl59zyU*Wpgc>HQaB|Oye97T*Eyu7|_+vN0eK+&;G2`60EFl z!piE|XPtExS5}{yOg^*mt-a@FlN&d_Ts3WDa&&Iib>8C54{x9t;p}OynCa@ugxY-^ zao!kn{;zbE%rkD)jcL~KMrAc{n+!>?gb|p>`CJ8tTug}X5P~koB8Gh1XUJ5&0ip{2 z`>ffT1X(-FWJ0$LfHgltoX46IUnpV?FWH7;tQj*^v?mA;<@vOW+m14SvdezcA#v?6 zf<*W*8|lte$CG^UyQw!7i_xXgbE{UrHx-ApEnyOklvOSnKOd8x(#ugmoEl#TKY5l| zE|W(VPUbYLour*$@`JcgF6HOv2B!JpgOGnEuasimmg2nox_K8PZvlPIqii>qvJW7Y za)XndHIemiRG1F!dnx$*T{VWKJMmzVHDpFPS4x^hxROTj4VQN<^1wawpnNTmA3Obf z;CXKvT;L;5Q|U^WF}26hv5y5j`c|x6wZez=lR8~H$MJY%Ui?B!wcyY3#}@oC6kI6r z_g|vIKu+hc)W#%5Q9LkuK{YhZ03cN2z4xB<1n#-Q7gT~^O(5MOJo52uD4Cdt#Y;-JavVV zN5^Jv?Jt7NQ9bwB3cNXg6{`QLTCyUv?qyx>kSr0!VdMgXjTWWe}+1XHxh|yW{yF;jIjpTpyBFHW=Rkr zQy?mZ^;KN6Dapx^+$&GKqpw4G*JsxAwkxA{0hI%txeP>3!sbr8k=zAZL=IdL(-1(Z zrwkCn^AXm&20|S>UcP#37UgyxY0({{;x4GKvxt!E-mH(|2WUwT9<_w>_ehL^#4HkV z36mC%O)K(cE&-U(FLU4@G!oLB_J`8ompSS`reEf+fKmP8vHbfMgJLl58*8Pdayu(& z$eD0bSDDm_5g`_-qfYAQOzN|mI(nZxZIxbdtckzR%T+%cC7RUzP3ldWI*!q-{=U7H znjKAA!cU9Yw7+#LrDtf`Bu7D;_Mav#Zb}?U975xTNFl8wi9vWM{4e@9sAn~e-ixq) zjgE+~fl`aKiIEsCP>^75M2;)kFZ79UCyK-wqgV`(IYyjkBH}jUiyC2i6|Z2DyLwfg zkjZ}QjHU@?@Ty~5hDpVEWAM*0_*dD8T}(t9BSz$HLW-e&(NlrWBqB!Y{`^%TS7x{t z!Ea5RnS}xe{nbSTh$oymEV-km3}PKL80gt>Va6PobqW((u7q(?&QkP?t^@w#7ZENt z2op}+Nd`fSX5l2%v=Aufgp(?jX_mqP{T?5|ucV9<^_I)E!AQsWNG$56jcJ-Z2F+x` zKWySm-6U?v#AOU#TcY9nxcxRf^1cl}1jiYM4mO(y&{u@e%(TbiBeCU3V)YPa$OL1v zop5z@XD>eP#7CX@dMDiKz%(#yZznPDSfjL@&U$R8{c=J(-ya@Qtu+$k)e*vV|Bm?_ zp2zW;HdgNg?C%GqIN~3P9l}^^|JEWSrer_eXS(bKrh{|V=u`~i9PgC(R6$an?mR}Q zY|d>XKlZB=A9sN2C1=tmaucf%xST+iKr7dzAx;9(HiW`y*84c$=07fS zzWK*^5?iMytKu8qIyycV(*$}lS%bJi+xk!CZq?i^<`;Zev?(503nkEv^Pf2w!9o5aN*~Xz|n7cq1I##KWw8AkxeBy$ad$#JZVU7 zXLS%3vE@zv<{MIo&Ovw%!vOB&No9O;#OBo8{Va?KC-0al+p18nc0A>dbt<(5c= zuGPF)h!BkO1+TS`haxl?iNfzTQg9+^*^8k#X~FXh%H*pAZ*8ni-nqB%^TSn$UrDKC zl)irR1pyTj5XmfjR6(=Y!ZiWWc#DTiFc4A}CDlIA6xAy2DN)Z|!dlhFTJ3z}2s8lT zb5oj?4gqo~W%gU}?j(ML+*q9TTn^lq?9I^02+3pHq}AFQ0IWqXGCAODm=~T0xX4v^ z0TI9I`PK7XMJqX}N-+BB=BNE_sPlb5BI%<@SA?~(mi&1RK?@a_H_J3R(G7kyFT+A! zpKbeEtfIh_%=khsO?XB4@Zz2^Mg&ReXC_qe)By#K#ul1Dyuq$+=);V;{L}B?$d>E_ z%8IL6I9L(;qcP6#?zw1F)fq3(SX zgE>Dq;Rh%EAWeINx7rUz{orgrSnmfL{9vOWT<8aR*4W^U`@t4JNO!IQSndb8SJlLF zucryF@`6nXjcV#Ozmy&Dr>Wok4wzqRRK^dPUv?Xsh~Rc8&pq&HkBM!|$~ZvAA)m2o z?K#-W=4@a}Dh_P8#vMd2cCUUh6j{I0$Ge>G4*4sY&c+Xp<-CIXknS9wJ>9}WuPStCVRg)kE8 zzEBP>g%njRhHy2H02tJ8DETj$GtI!Eqer8Fdz_jI9ZerC%OWvAy`HH^O@J?BDh}zF@q-NNmoYd8 z^vf8W{rDR8tcpm_9opu@-e!lx>dcbV47BHxq4?#SCOF(-&ujAe+}D08v!0=NxF32r-vh z%cafKwByR9Rcl&fxwIWMZBDtgoiwf5rjfAe=3|r}e_x>_XY$t+H&tqvV&*wb^$La- z<$`IdvpNj-{pNC`Oq01$rrFN9prqMqOGF)lez%W)qLe zsh&x7NBra`!hiuEB8ndBLi8!bP(0nwqRiSu3b4zHF66F9@drSDWCq6u=`9Xxm!31u+o8 z%@sBxO9*Z?uo2^o;0_WSAvkzG-bUmI!RuRWgcQrI6*fY$WQrrQPK1;)S{#w{Bf@ho zkY-Cv_;K>;USbjvtSkzVYvN=GM{R2p)o>1j1Plt8Cm%Hv9AEQ(LsIw`23<&Dz{uIv zqJ_`7AXLB>1L0Trrxl>s7JdFRIJoI2;f-NQnhYGh%y`Alj4v}@Vc2oTxvaI0`A`+I zZEKN#03ZXXXsnSa5RjWD&1?h-wUQtZaSNe4e`LNQ5OHrMhRa!9SJ~p*rdT{UDc6(~ z4nYRAyBHQi3#H7^f_S>ZID>R9@92EeD_hPPFlqyr*WDwKBP1Z!#7Pt-B2BBx2Sy zY4!I(nwPm3L;0%)N1!d>3M7^?u^B=#tT8dcKV@^Tme`oAlwUPaM zYs+m5!O7vRQzu#W9rlyZdU6K=xkMFI;hrFQrWlE}k_d^?=ez_wx-D=f2Ek`<3!I69 zwAzJI7RkNzrHM+Q+z}Z*?Obhk&{xweVPUBdPK=U!p+VhCEn%205KIt=hDs1j5D2d) z7UN)oK*UJH#YHs4Y^o_rogn0octeB=H2vf>z+no5neAj`J?^HW#WMydyR;;ohI-bJ zkF;8wCUBg0A&jb2M}zm_P_U6?2uA!Z{Zs#jz}@ z4bV+a*_BgjV-y+YiN*1!ra>?YcM+-LBdIM+-Ki+G#pZ28pcfFm#q=^k^0!xlXwM&@ zd{sWnwI-T{lnGKDhkc@A`M+wT3+C-|Q+c)QZ0)*+p#L7P;PRUne(_AWk+4lWEa;t1|T~!J`5p%g`4u@0}}D_bzy$x3}&3S1Bzw-qOIdg>Pxdz3x5oW7oCd51d33hk$)zB(VyB{#PRKby?tRZQ!dn@U<@R)ff2c zH(xMF;CjQLAmoh1_IJLpdY?H{J%Q>57il<_&P@p-Gj+I(j zrQZNEIK)dQLb=O-gt>_@JDo=zgSo1|C?wj|r2nZq`z~M_Ei;UjKj<@QsKT2v>AE*h2Witr-$g-96Des=eODOOW8>zpMs`hO>w0PY$Y1ECv8}x{e&j#v zrLpC`G=Aid@X{y;UK&60=9L7{LaFf5_>q^*HuN}>=gN`P?btc14}`0nibGPEH5W&( zAquAP1C5rymz=OtK^Lav_$=1{-5gZo-~&a_-@ce$aQA82obSR1fW3)_#=VCAhDo`b z-Y&|L(xljjzJ)z@#{%UzhUH9tT8Ebe{Y82B$ zMsTry=J1(-F6<=wtboTTbI_cC3{kD-^5=NDM6j1i9YzwvK1mR;M8^4iG|>*qp(eL* z{1|E4OvL%mh`PQmBkH?RMd>bi8y^BndE0QcB6+Y}83g0OCE@7&*)NfvtG*Q(M44&Vl_$}YFF=XycB&{s5s}=F#Ut7yFlqB1x_&7| zxBffOq?N}hH=!2^-A$W0|Dynsxf~EbFSq^L7>t8`TUnYY>drxqgW2xY*$~IUEEcc8 zlD#5pc}r0K3j8q*Oq|*Xh=W~&ACo*OZK^bqTLL^RNv&g4fI6CGdOG^B?}8Q7(Y@5su*Ud$J06tF zWr5$YLHZ%6y8R|@qlGDQs!^_3LTZHjjgR}qlS{?`p7U0ca0~M0Igu;-AV+)#&L8qG z`@BEow;*#lBKrPh;|TIWh1#GzlVNsj}vhz zhP(WCoQT8GW9=iUk|p^=M07h4t+yd!g%fc$JJ)GW#690cgsg^>xhOV#CnAn^AZ{a4 zvxPz+_Ja`P5GkIP(;Tk>1;cVS47yXq_9c`&%r?%yhCf=nymDQTTyQh6jyVxGlMpIZ zi}nPTdyf-wDRfT$J5I!}&^7YB_EXVcS zI-76^FItVWzq{^60EA7hMz|U@3B0#!jH()?#aFJ>@Uw36)u!q;zss;CIP1)=S4ZQ zCLzMM^#&C-bv|z+7tF@ks?-t?D4Q>D0}G@gQ>nr3;H+PR0g!4r@+UN~)LIBup)Ld9UFCu{{yDV)+t_eu69|T1xXO1G@V>XXdQqzs z3fbYbPVl}1;TLgA9@{EBXOeHstTMGyC6i0?bR|Sp?=WF?J>BIM!7JrxXY+saxVyad zG-+tf#YA!{zV$(QZC}_ZPh+vm(pi zCiF^ZBg0>vHnDX^a$mYJ$lpJJ#8Up6ay|YoH~hUB>euksNCcdrLJ5tWW^>-Gn%7!5szsmw!x00YctlAm7yf?mz-2l)uG?yx2fKSprG4dGEp+ zyy0gczg+@}F+G(3S0Cr02J+$(NE*2LeSFAj1G%^aGEB%f@yFEtwxoFN;i&AA#jplr)^&e;qzGNAuGP3bLvLdQz^ zLnkUDU(~_ORGJ%9`Om9O+JN0%0wx65+MH{^)|Y@$C~R%Q6$pe&NDBQBbqlPyT_546 z5Q-iM>r{qo(VvHE0bxKE4&ZWJ`7AO){P8g7HHIIsN6n})F2^&i?*Aa_VauOwbQ_CP zQ?kDEeYOx7jb8lPOy_g3ijAW&{|u-t&bk(d{cbN4f8_G6LyBRKykt#D(cRwIyD=$!? zp54JuX+!g-arc%O%p}<3oukPmPsEeW8Ng>?Y+H`*P4e9q9R)ITqQ)@xh^8kld%?gX z_t=Ib*!ECwCsMc48Ok|*WUVp&@tK*1XmwF`=zA-G{_u6259lK+Ul6L(3&s|!jOY3# zZJ6Wy<*O(86ZurrB*1MYo5xAGF{Liz>U}%+ zlo(UaTc(^HymFLKPK7|>cFNOP68Sl;X^cL*F3kA19;kOmBCn@P*vc?7Iy1IiMJ)Tx zUgP5)871||TGjOjza_EpcfqNKzK?TC4>JV|1nDJmz^EVBT;jSjR^NI`_ks0{p;~q# zU5AYMx6n6%WH!P-17||HcVV^>4U2vsIbY5WJZ0Wzk8!!h18n&;+q z6p{g=XPS*Xi1E>}n*iWX4V#PWM)@m!;6Vd?e=+b*7Wi{M@EQZWUV(Sgq8Ir9ryGFt zeQeF6fC@j11n!B*&jK*3(e+_OOPVY$*WD-pvfQ5~+Hw4;>+&OIKd1<2pxTxfsP-RE z&}zRb{OxEW7VJ%*A8rAb6~gZKBb4V%%u73xX}icL{?r^Q1uorKXp<=3`z|c~n!$aY z;y%{P|2h&@kPqR<5h{GZOZXiVW-69F@uO^b60zLSpj$(($CvC{l|3Jx7}nFPAX+?) zOEvsKVQ_t5lWP@{CWRSYMyXXAcm#*_^b+Hw??yvV-DuQ+N#BQd>A%tBTQceS&_K~h z?rzjy>7;9UAx1s8mT|wryUDws@i(4KXZe%rVTxzh<=|re|J%?zlQPch|EeROF`)52ZYy$O5FaA{k*2M7Mq0%ApcB!ziD zt|ewv=<)~ILiDk9w#3udu_aPHi~=xP_KtPbInYzuXz5|`E~eAWt8jX$13=OXt~kC* zP5In$@bd74fB4cI99!D_)_Yk}#wVsw#tTj{i@jog1AXF=W__9>U0Ty8A(wc~%oRIL zxC;q=j?YfL9mypV>;;&BCxwep&fZYJ9KCN4se{nKWAbZz4zmNYl7+IFE^K2e&g9c@}MgO~y9PpT+JYzScf*WMk}0#j4ZsX^0$CcgG_# z+;0}YP}-vx^n9ZOr$ zIIwsD93KIW>9W2Lw%WVDU?GU$&Vx;4X5<&|3}QIn0Wq9UkvHH{5^5PCbsuHCxop7c z)HDo`VbC7_E(D4D1L|$WbtZz7VnQ@cFu9RmrafbEe%N`do6y3KkytB;AvFjt^@Gbz z5IxbZA`HWnYjf8S8bw%_4CA~;TdEVge)k|^B5d{QUOhN%4HgF0(RnJEJ2@vr`L+usjOcz0 zRqi@nxYg3-F*vEi|zC&>06By~2aeSZF!|JltP*pfjk+4qfw{Jm>;S&kk;$ zWlo-~VMI3okbPzsFScYewShBYEOl_xvlDaVK^;7aOTH5ZLCg1E44-DMMU}XY7kfjF z#SOw8-RL(JU)MAaNEMaSK}mJjQd4d_OTqnS$Evw{tO!iUj%E*{JgiOf4A}P!*q%NZ z$be4-1pPt@s>Y8Yr!j?oVb^_v%5cDd#P|!ruK?DMGKc|Q>0d&~O$tY?_oF~TpXgk~D zflIe}vQQq^7220_esl^^`1_z2nk))5iX(GnfEtzB$z%&9uiwAxL+W$~-QlJn_5R8g28|-6|V!yufZK*S1hW-BxH+SNl=OLi3m0(I4!4Dnc(S}vYV*K06hlF zMeo=^Xj~VA!1FO(4J%Qf+VfR%oco!YCEk0vQYj-iA_Wr@s3u); zfojH3&6$z)e<>!#!++LP@%It`oxl^sZ`dJrR(iqH*mg@|V%qSgg2Fu64?#W~(C-=0 zy8p%AyT?aaU3=pbU?3nkg9VLB>!{QdEoy9w;;o&kQ^yOMs#vg!q!5G(Aq_JKSVA;G zGp50KYpKUtwDgoytzxS+M1^3H#LH=8i#2WOY4p%K)1fu3wx){p{eIWl`?<^|3BK>| zbN>19(aiJgXYIAuUVH7e)?WMO0~O9?&-G(%G@yUdCik(ejG!HKo3_!5W8r^%GvCh5 z^Mn9E1PA>(aB{}>#G^(dZH-1^vL~bS=q6s(z8KmW29TED1;SX~&Yx0Wq1Q z46JKOthqeDks4YK77#_B_FIx8nfo=>(P?)WVRMg_+z5d82E4hgCHdW7ko&vHjpfW| z#(E8i&ysWygrhbRjRK4%!47+4N&3~2{QgGA;?a_59l>v5c#=rYR3ws93`f5j4kS!c z(}DzY66_aCLdd}_Nsoc1h9w#Y+JDQLOG)Pc(gY`1vE-PpBjtO*`xNaMgjc16!}AEWls)|XWT$azeM0FPX2)-^0e zWe_qzn_@{ho-wDQOV!dow{QBNryKoutEj1^K$qrifIi>Qj=tV)a&?&mWz^KP%tXKh zYl&!WRNAIu1*t5#SL#TGsGWAagQqaUnFpciiV-!}5Y=&uly_||QF0T8?L$c{=0@nL zaZM-skR^rVLM7!}S&(uqO@lCMlxbwRsGX_G85y~Yx(ILfd|G+)DJA2ILCH8+x-vs~ zfmIF}3<)S1hmee3ypoKTSvyme(ad-7T8stNrtBxz2@5z}DBdn#M%mWJIPJ2c%re7m zm#_Z`nspWpfYTB)vPY7JINS|1A!8{@a1}vMz;qXv7o8dF3w<3MGzi2#p?%JJI_=10 z<5`XS2GP{JVsDH>%#h$+u|50&zG6z7h5^dC8N%Z#?QU30O;@E&)j5jpe;-pFrM)Qw zZr^8M^Og3UA~L%h*X;JGT?mP&!-dQ}*UfF*e=BfTNba7-H9fxEB3Q6q<;)#H?v~i@ zGh;o4ly;CH?>jc7LA|c&D?X|6_ET-nvAbd)jLhs;E~Vow7VL5ZcApD2DnkQG7Pw#) z1}y1<1v8K2flV-Am$+b~?S>8ywm+SswEdfcjRtLFvfPd3fqB8ejC5g2v!C_D{J_Bc z9wQrwEb)xZ(i=*v4?tBxAK>*jz@p#aEwpVGrLMoFc6`g4o|c)r@v`}IxHuL-M>GqP z#qyoI({|S@s^0>OGn)G*QQZzy4p@&D%(h!C!4@f4x`Wc`h|?^7nrS`_Vq{k*sEX)F z$Z$<%5{RTmVInDY$S8AcDg`~?>JHn;b|X79%5Jruc z%c*aYbfrxqjI}DXvChj3?@QGC68FB)zB+jpd0%Qx8+NBES2DdT`ZchD&0*mi8qB-T zw&KXZ!nPF=gAK^w9WX6}j*jytAlJ4cHcy(s+A{R7&13M9*_TCf^ihq4NW*6#-XhBY6QhSo76swK6_;D|Ko zpl;&|N|IO;qd;iUw%H-k&b`3@H1w4=*a@+nKqF&zf>hR&E(1wh`sZ2tXHdGYb{LTLj+Vh5k(p7DMb`PX0-Tdkkl`HkrSy_N z{SR=zju#*9C~#vGv<2zl+*q6hNN^$BMu;uv7A6aF&WCxn1Nq{2aGRTYu+}tjmiIkHY3ElN6R2F3Las0sLO0&YhgB^ZPJnBg z9YJ7ifrJ-MT}^(<5M?cuYhMSQ8Yhx<#_Qnc8g;Kgdwe#+3Ld#Li;=x6h4nbsGl(km zlLl_fY3fXHZvbXFtn=KDXmZ5cz1v_e(7n;f=R^RCK3$%Q(GCn*8jE!~Bbh*%5BUTOSV6htZ!QDh$wji39pc!=rs7j z$LeE6YbC?*{mP)fUB{YY$x$^ZmAg$S&SDB$qSLJLqa@4di}Vv9YS8)sXhj47IUN^e z8kUCzR*sWv;!&t{vpyq)MX#U|a7#Q||?^c#v~bZ(i+z#Vu$-f=xW!i{FMfsM%_(KNl zYHo11$B2!YiARltOO+UBRgiNHL~IL|B|#aHhdnl`JAlQ-K`UeP;IyH`Yap!0XRxPF zK9=^TEB$#PG;xqwVbi!&4qxhl42XebO;zd66zO`2`&~u4dOBW0+0Ll*=wCwy-lVN! z7TLr0lA~hsdRTW$bfwv}Ymoiii)?of%~B$kc{PqJ8` zByC~{Hj$pkBFe#E!@j|7$I75Saxn9na*Mn+kY6{DkGha-;tXvEM0<=C?RChnW!Ryl zmDBHiMZ72KD#KFIf_5;s>Q|`B`A%*-i}o>7?rB;s>eGi3^-M~Vr{lZn?;oWV3A{6H1)fEHXGVb+-b236%}D1}8PpHU1sCp~rI zYiG->mt=MT4^ZwLnBvLI$m5B#^df}(Ko6yi!kfmQ;C*O9uJ8X_JTwi}!YV}=2hI^B zY1M$7S5c?}ifjQWP z8IjfDtW(xo2nCU%KP{E+&ay^QGsy5$Dqd{(*nGXn-dWt9VP`k`q+e;2{;6M}jyFI8 zHP-JPUvA{5tNAImAFDG@kL}UZzVNDI+UGHVx(si5!Eaa?cb2KZ^VL#;iweNWoQ!Rm z645!dy@6F9Bd{!>*3f|xK7!OSih$}vI_QBHbCIHqZ0O+uL%@N>-@NMm54J~uH@$Qb zhEdkJvPZUDO4+5XaTbbY!)L+*nNmb3-{D)TvTRU-S|^nd480)g_x&s22h(+d)|Ev~ zy-p0LAF0lACA##E%lmt+J^-xeI$#XhUl&la(~a1ECX#K|CjnmM=(!#+?*Yw?^*r!g z)7Eosad28Uy3gP|d$EWT>({Tw5waoZRsfyM3eD^@nsUbq1>+ho$D_HFU|eE5pzVd3 zL@i89nP3ghdfSj;(icFYV-N?GURX&{(SG};E%BjBo?C^m)L^7 z7imJQYVn|B_XcQa6IhWJz9T@N0e zn<)&yQT?JTU@4;T&@7cel|%~r{|gm-O_hDxy6=p|u)h!}vlAaVDhsV+SO&O&+xDD( zBjrz4`MsT-LRwhJ*GwUfF>oBn!xu^)VY`{QwCy98F(cNH3j6)OVcOrq<%B#OkkEVi zJtU<;SqUq0o5RFtJoAQ19BO05q21IbCHmHIOC%0>gi!rkq37C6FDh z?VuB`C(eK;ZGXid67F=f=_5>@*J0jZ)BSlmnaAuM_2l^_c2`iG9+5nurUrnCfY`Ct z>M8a~PRUPGHIfE0C|he}DLmm490Q55-j3B%ku)J{-sB!I@s>|Qij(bh4<|UYu0G2p z&w~@6!P0)#N(VPqJ$#Cvj>RW!mctE@+bk1JHQo?bC#r^OlG~xjpeGAA$#dN(?Fo!R zq;{6+98qcU_u`Y`y!7_g>EAp=xwvSU#fJwg{_`yU)ZF5Go#KzoEB<4q_{^7Ct56fC zkcQ$w>%2iY@Y61k@M8=u{Q`F1M6KpcQcglvr8`2|jY6{*`!gg>hRQ-2dYFN>Ag8fE z&%#ed;mYl4E*XZ~lMU8)g^S!rq7zMwNmH~9*g#mR{iO>=rJX&;5B8D)d)NhI2*67j zUZs;fybF}whjA^&3)sr^WuP01&Buv8EFx%E6W_&xZ_mi&SClRr2(u>lJh}nk1El!r5#q}7Xb7r$^tgSIL4V_oHr1nqpuKd5PPiXzQFlU)hpiVB#T?6j=TQIaSV#ht4ym?G+@#+k+T?TN|?v-kvalEuj|q`8gtb9B0~W_e(a6mU+(t zISc3CZSZ{O-xvt`VRH=`2au`KIhWWYtv^PW@<{979r7J%y+a|av@*7cjh!?mnI9?i zFes${GE4b%MXY0Dq;+nAPhxumBzf zGEbO~?(oP47B*Zl=)idiQ8Szb)F!ZCmAN?s5^||pxn=Us@6&vVQYjI%vY$%k!_0zy zAQH1QnP?+;LuU&@hOi4IOP!+I6=b>VnU z9bXs5fiO`tv~5@FoOy$Sm2?aF90e{CUt+LnRl0Z3D%QWnVMnp|WStWFoin1ADJTF6 zlkUd?#!N!3PTI4INZJYQDyxXDu-~yKz`N*s`p>Ywh$?0}bS#{8tVVrrWab{C1{=A9 zzz6*;13gBe5#oGrM3xRi9w=kT(z*{{DRu#irS}rfvoz)p&w%i!(AHqjOhoP_dcR|Z z14(^p;-7@PLsb4=9K$nU$a4kXT8i&no*NhNv1&Q-T;S9H?%+M&XtYFEIxLroI+QES z`ULTm90;DqfzssB4Qt*TWk&fvbbFo#x*th@Om-qh`JRS(xvR2fmvZ3!!VQ%5DXp?1pw~Rd#f^ZPvhgrZH#_msEv}<%Miftt z(ms2W*t$eL&;YGft9H2mDf9&+zBnv_S|5r(!uz*gv-rz{A`WQbAeG_`ndq}JjofebZ03<%Vlds{?hwX4cP z&2s(0t!Q@dGRqmFi2{mzMq$LJeu6-{OwOR57X-0$y zUdoT!JcttrGq_=f?N zP+y>?w?aEoZ~XUVq+So#D^OG47M~wUvvzWe52ury>bl!&e*7eAun}5NY7hd`V0SuG zZPSpHmBa6>ozJ5lD}Fmu=bWdMUjz7JlrJ-sPc@ViH;W6cOAVv7wuwgKINKqg0bOl? zw|@fiU&E`fwd%aUZfkWB_;CexyB_J!+=)L!F*6pYn3|>K9%|@KDK!gGK=#T(n_QPk zb9hV*J+Js;bLtCWEe)`UR1ZP}99dh@O7pzqED_2w>tMP@Hy; zSnkU`)M5HR-&gpr`r#qC1(`Da+XnyV{P0dAW)|j!_Li9}2Wu9I5#`a5G<0Ny*_Q4y zkWrY9&l&iwet6QY{q(={Vs86PmRmGSVLJYdI2@&;%7=GKQ98C7_*4AwE*)3q(XrUj z@voU;<_gnMZSekDflND2ElS5J2L3<&@Gc!c(@+~aiw!RR(PUX6Swc;E5;nS0PDhyj ztO1;nROZbNam0E5xU1mL9q2U%`r9|N|ZtG7X2R4f>V({V_EX9a)C)YO%3?loj}T`oTI zo(fFG#i~v|1snw#@-+iEMgZm10rbpiC=nN4;ZMO#7n@AKxJYEhu%31$klC)87*%n6 zH5sy4Hg;}7#eW5#!m@FdmH~&|J$sP)S-q3{#XHGiBM~Ya>xiux*nos=93oz%`?UNF z4XwWs&M)$_;x1D^rAR$Yo%^mb^`g_I+6<461tHl8D`0uwGWou5(o+z3{(*DFwGwOF zd?#?@>0sH!XWUX`7ukB~QB-3G0E8E2p?OIHPP||i_r7)d>jY2*9Z#Gt*vk zCoZ8~jKy73@nAb}b_G~rRY17iMalrV2I(CJY4AXil6FN}nnSqb>E|tuo?dTC`{o6f zhXcfuwNng+sA~*ZtqaCFI8zJ;>=grcfeQvwd{Yco>@Ii&95(x@*;poIW6kNS5Hm+! zeKXc!W;_mP5Us@&z8dBO;JY!qdO}m(VPcf=C-@xB>g7R9u(RFS$pVEx6CRP|t0fuZ z&_Ua`KOTG<^-Yy#KPmZD9uPI|FCrBs+@N$NMm*>32usstD~*JiAx!EWm9T;HrFpo+ zh|Cgpx8O>T*4yTQ6CHBQ^_8BDKd1oSa3Qb zTjmys(xsig`+XFcv&$rc5hvAS+8J9?k>ZXEXM642y#5CO>U10pTv*MWWv#I1x$~)?06X!D;+OxC=-#o)xyfueNH@Dg1_z)B3nw~dKtpBS@ z*MpxEmf=3OodG*PGsc0oK{4CQuQ*v1OP?9L`6Xu6e?Veh$Q#y`nW9dUqC!pF3GXd# zgPX%h>zn;bTu_M{hnNyD*XF^!XyASql}hkzg1)W>#xnUYb4Ff<`%Q+2^D=;@KxS-S zhOe3oH|AxaJ;?OBV>Uzj`6k1Kc^PO9GT+b3aD>TlcwPopBeTL}@N+u!J@8|mi>rd& zv~~I~;oMQR{MTpm8}*Y8bZ(|+-XQki!E(qlU6G}n6rCGd5 zlwmw0xnFF-iMX}xSO>c+16$$_+&SnJT1DDEl3)ZQLI6#`L)NvRcn=l0&Z8 z>hEgc?j+HtN4iCr3_mv+S~UY}S5kkBS1QoY!swA`%>LBP#FTjje*j?+gQh^{Sxw4W z>h`6LXxxX*ClF~W{%l5xJY371;pJ$(3vD=x9itbPdS&v?j#+VJ5jpldm?(x1_aQw`y|C zB!><3gPP2}D8#+QK(}b}VJ10Xk`t1g;C?G~9?XyIJTta`jiLTzV?Vv&$5A{F*#n7)87oYAqqIC;NaGorISAZ&f`8oy1djj#Amu<-&Y?!<>3H!Q zF5+Vi;)hNX{WUb=?-B8=T*SJ>By+Zl_~+Pp!0vOIBIcbqLPtO6ayNokO3FcQj_;cs z5zWC1eFm@N5hUdWm|`DpI=_nhQMJ($>3I8UD_vhbgmv z{T2{Ekc-&JY)aEzaj0|H=60t?iQ!t8gzz7fgoKiycW!~zBHf$8s|-%{p`Itb4;gyT zF9ggP4Y|_606%4bk5J$;;f0y!>raUzm3djs8*$%hz_TztSottdz`@|)5ungsNL7l| z;8-L;bU0~d@LaKs46W+uJp>te2TO`8^ishp%u+q+GkhFUYnqR}xfg`yL zjHAGe43L$+S_A$A1-C(7nO6nBF9vvafoYpJUe~(RE3Df+X95XtTC)Vr%bsGg+-b60 zq*;87YG^=3U|#7g=LQriU|!WW>WF`kJ)ce_pR|$!*Oxl`H6{4JPH}s&LfA2%^~iq< zFLaPykB@!>^1lysYHmB0LM);dlVa`$NO!j;qu90HW44ZmTDQKAhs4c&O5zEI#G9Q$ za!H(l(S{|Fu1n6+)$t%vwqO9cm%hO_Xd*nn5hZ#FZGavZons;}dgps;Rv)_s+XR6g z&S7DdA`ChAsOB#7kt4~#8?JN3I-in+9Fi~3rOCswO@36U=?$$XE=$0M`>$ns?W-&d z3az^p?*vSKnrJBPz0~_Na8?5JE4qW;q|v)N>O3Z=<0G_AAUjQV;xqceoWV!IV#%ES z2tMHW4t`)ZNfa`L2m>$2$swa2Czt)400>ztrVB~D!NNn*PzVBT&ShH>H%w;YSL6}` zZC&Z#px4{y*}@E7Mt8M}Gy-XSg0Ez}U>?>l*>(Ulg}Wtjt7JU_X>VsgYQJpJtOAvL zn3>zRa4iI;o53>)Z)?L2zATZ=AH!A4Y}gw(`2x=>99;x{%KaWUknNHLyQfJjO53G~ zL)&tfC5o6i-0}8#2r*>M`qeDb?Cpqe*cKssz_Rm?1ItpnyfD=^&(_x*paEu$lS8|t z)0t{!8kv{8Ymp3`gW`d7L9Dd05)mHaJNw=s`G-PZ>M{YF%lC)YFU5$(-`_T)gw1Bc zX|uxw^uKWM^8Z%z)N3pByxLh1#6CGh)AazcuD!#tAWd%03QdnVJ=)b{-JqjeYaBOV zQ;UFg0t|=k%!Aco{HIeML+fzL2zf%2YsCax1wWzEang?D(e|Se7<@d~ehf9i(7L(h zUK!w-aK-P`;GmbvGA%(~i!U>wCU`5&L^(x+$wKvJJTz>cOuMOf)*R_U(C^SKv?$$4 z`ZP29@hAAs9u}rpnZWgUbHvr*lUx;NUbi@yoB>*&ku+AaB^q(04H@NLp5otU>$<-% zaux>)M=6fQzt5J7>;%ZRhh4ViBW&srgn7RgCCm#{h%oPWOIUVHTXs}iw#4cNXcjJ6 z4z2&U_docc%~hQ;-X?n?kJ4aHzrY2AqQdNHWrg~taGO%WP892NG}CG3RWCLI`XZTw z@BPLRxM)~bQxt+6N`;V&GLiu)b@o-YvKKqOX22QL)Ghltz;r(B^`8ML?O#TUm1e@58$p_(C$Mth1 z<}lLvHZiur))!J5Q$D}6mfNs8wOhYg?k+ND1L7F0(;S{KB|34AT-7!cAJpOuSZvgK zrqu*nyJCBwAU3e6AT|$@`h!{a005!Vs{-DbQg3P z+kyJ5nm$=&4X|8L=z1)k7H5CExD`#-io=^*XLcfH*ezFw#x~DP?YKZssGo)KB3HRX zBT<6-aI~Y~qd&)v*#gISH%WH{GIR?UaVsq3e79H5O943xj0gwAh~Q%|OTQ90bKtlZ zO0*w~%lQ^AMHXuI$_f_S4gNiAuv%=nSri?iw^)%LlE^Ip4_?3f{|%9p6Cn~<2PYDB zLxZ+Oz-{X_bG<)^AxHU%9=QEPhZ>*4#XrTt@!2mF#VQIV;Q9rQeb^y>fny&;{8GtH zKtu_o%()WS2O)w0t$_gHKuz9JuYj%)g%N_pNI|urS#zSTzR4>criv8UO^){W2rR1V zYQbLHW6`%D2DV{WT*p^%MQ$$)&%y_~9dpTpK748@1^=90&qRl(N{itsX({~aYWC)d z&`YXr`&pi&DpxG#Daw@>95;G zP`TL!RZt~V5EVZ*VTl0XI6O1FCSQZg5HF<8cg9TEEfw%p!W{$x-g-h9hkQoc4u+Ru z2$yg_e3^yvj$8iS(Mr$~3h(bOMU@{&aAm2-*O+{hQFiDS1_1}5DQqEEoLw9$9;Qe@ zBIoXaEvYx=sqz@tJo)9IV71}CUNT4#W&R@Y7JTF9YCF|_y&QS}1Eg}OB~2|xqzJ41 zlI16d>O`Cn^eMUE`s!HsTcP?1H%Vz%>_7xH){9UCJ;3Y{p5cbNo%^6xBuwFGmMDWY zspMYV{Mn0}KYK2Q6LoP4#z?H1Cw>FVX>{LSkz3PGJ#uuOm5?OQ<}U{C%F!eT-b|%k zsnS#|r)h1Tz~kgR0wwk04Lx2@2*tvtfWNsb zs3NF8DTx!Y*dvA8qf<#%H~9WbVr^w3rUbY6$Bg;WedHG4@PtX(@~K=B&^ z0+86ZFm%Oh>|}T-e?gh`>PIR0b7YnQ#Yii$I4G+*q-3rrvp)TT1$=rF6C&2aci#J& zW-Qbh&g_#acnR0TN^ckHjW;QTvB6LXITXA=zRqR?)|*zm=6J2>brqjA-mGec=i$9)~`%v2Q=xkgvVAos3Egs!G#jtbj7M z+q}nFs(HqGfsz+kkelRvMsVx&XG1re_3I{&T-ov|H-jfHn5A^*enmsbv@%f4Ry&dY z3ammrHPVF?&Y2)QFBmb!DSB;5lQi5KrQ7lXb8WjUhZIXIP6ayE~;)rytTdJFyTdKJhh{vk}&AHf%GC5prIhZ`7S_DL4e~F z084^al4`*}3b+-2seZ)@w{~vm$p?6&OepL{c2-fcM;!8=*RRYz05h2nuo(a*CXqc4 zpV0-1`s9$}jR3*_JYwbL4l=-*hq@MsoG2y^B->yAn8kap!8_#COqZq4!JIDjqSbRe z9K4p^A@G`&SFPjk0li=W&Rs8gfq}sh4!w$a3+aRei@t%3i@sq^9euO4N7dSwkwp6avfmiGJby|A}c}aIFoKyA3hOGKpPvK{o28|N8o&WX(0t#~+-PJ91 z6eXlxOC435;bT3e+U71+DtxMFsj2NGTieYNg1M^mEqInWrE7D?N14vQS=UCL7IK+< zg{db39tG=(65|zs*?@TkJheCikR(|eX>fW9;;tRXVf`b-pt_lYrqD@BBqNu4GhRz z@oN>a^%#D2h$}!dP*5KoU*+14J{x_><)R+4lG9B@NS_f}1JXrdqeLgdxpj5oLQi>I zk%98^f<418Zrf1By))6RUP6nL8yam5HRz3Vb#A~8Lk34$9bLdmT2aZGSe6?tKOoj< z$7v8^jln3$oC`eE&MQW(VVA3-LFkTD4+cUj4-$Igp%Xf@hjYaD@}C;}O5$UmwaL%E zg^3G@eu=BwDEjqx4@udhVV93qOr*EELC3HOWcxYzw@{9lC@-EKvc$7dVzExw!;W^= zKc&+_y1LR8@X@`UuEH~>>UBCB7w#Cd)+60wAE`hjN;+CA?p(|59qmx>9AR>?Hak47 zCBs{pW^2&?xoi6oK$>1!LVAhLq<5w7MZbhp*}=ok22j-um}a8}+<8-~0lXQdfIh)D zGhATz$D0{0fN=I1J5K1vE0Ut~*u>cAdIG{g;R(k-EwLA!Uo_?+bFnG}5Ew@$*FsT} z<{jS8H;4hvc`Z+s*28mc%oY|lnpCHjnByj}==4Tj> z>9kNt_e|NW;39f~pG~MO7HYOlp65$uZxHB3zT`zFS?M}M=t7Y`;w%Wu4<406dZqme zD#F2%oUbIN*S)tmVu3+hIJgHMt+$|gSq_CrWL&=Q%>8b@l0niZVr@1Bg=-2sqEr(Y zG-ZQLLB%!YKATc&Q#RU^l{RG)Q>geKMi;^?4t{e*`*-72w8ynmurvQDEhw;UgvCUm zJFa<*u#E%38^#E5cCD*FCW-0X#4$exu&8`F^tmtTS~6y0Z zp(-tYwzWTbWqa*RZs8M)7Jj)c{4>Ss{T2=rNKy4cx^i8KXG7a|c!w=wTz?`>o=d{| z_e`5xpYp)#@3X&y)L*RS!GH6+r4iU71jmx-3KDnfo`{|y>&6*7LliAnUrc!0NOe19 zI(rBsZ5Yh4Go`{g(*k0B8R&z%>$VCC>0Sbdt{Lm=HM=OZTG!Bdj-MVrd;-OgLVMaTx!ABk|3ABtF!4c5p z2l0%?|G+Lk%9{D`{Lv2?(vT}S&G~|p))lJtPi8(C>&TFw9~LNPla4cH)Q5g%%}=Spb3V z?qk^8_rQgBlp0MYRD+`u9Q+bqLrv$X2oIyF zM1IDGZv7i9f=_4O`>?As*W+1qW})_^6+_Bxius$UN9?PeMaWiF%KfLb(c z&{!vibU869ud0>X_}IwI(LS6U*=q{n^AVdpqZkOQk{@5S_3*@3P3z&pF-oPmbq4cz z7$Kd&4h++PsZC$#t(ldFJKB|g=P&y|$h?TTC`Xc!1y-)D-(jNPJRgWPdOY)07jwqm zJTOdagxx?RbdC(-KZwCGcdzC{pqYZbKcM=-DZZaDL(0OoiBkInKts3Ou0b3WIc(ke z|4#8@$rRVXT>XNzrlDKD&UO+F@V`Kh7y@eXs{b@vy#9Ze7BL@aS2YL+fhslX6I)m6 z+`=%lO}vG!KsflyX4c6r68rtYey)33H+($6p$0}-k|%%RBI#i294yaQpQE!_@257C zNt6Rq0r&04MimsC);X4LJT|La{Fk@HEl#_0EE;Mm81P|Or^rl7HxGx<+vFk6O zJw&63zhGmhJ>&qE0dPS)gHfc*ddp1PscC}_Ti@9y!&bdH$qrjb!n9zpxnM2U6JiZD zsO>m_H88o)H5QxsV8dD6;k&skq)8qEX!T=(awam$6HK- zX~Hc|f*IUwb`ngJZ^YI1D2TPfH`~Y?8lPcNBa-K0xfWZQ-#c5vsh*O~67E;P7QgW@ zA&7y~#T)_Ip3YQ z$*P}ynP1}(_1K8MfDOvYV{O^a@USJ;=2+zFH}>Op=B`*j1u=Ub$K&2vvo<&~2oDB7 zwy6X|s);DV|D6s3zmG8A8-WNgI0C2sam=oK0ylO&n&af~@(V1Z0flT=Mnia9itQ-( zytyAU;Av8m`91zBSR274B(zTCO?uuDX@Uyj5*Nv#O(2y#k{)|WMQ3DkHZFx4lf)S- zZ+2oq^h+xaK?Pzj;m?HlcVUzUiFV; zXl*QhM9}kE7WY+1nq6jNkYVwCctj4e9T|;+YJbZ^2DTmuvTU^_>+)Q(Z2RS=8$m41 zNq6gib#DE?*JgT7Xx;5>0Q88^IxexXWhaW_3R7x>V>hB(Az1VA;&8#tcT~Y-p{{)V zbqNax+YOMXahec(+mNdnYO@I5&f4#+?%2yYF=IJG>ni!OW*;Q%b*&CWjH6GaNuYJ# zh{WPd8xm~&E-6kDbih@e#&p3BH#cLT2APJvV_23IvEv!>z`SDhgUmEf88e4pMw?Rx z2IYem@lfV@PcwaC_(g2gB4DLW;B?SpzMriI@5Usr{SXY}$ks5dVu;%Opb;k`!l;}X zdporL$bX8iX``c3@@sLJFc06A{(CRu_IvFl{k~en?GZYVDeQ?eH{)s6M*O*EgA{5* zt7&~Rlk$B9{mWj!^ue8etk0@7f%rYGByW3SdR-;j$u$=nu_f~SHoIT{N_$3&112ibrnS0(lG5%1Xu>i zbwW-3Z>*a8Z7&8X=*kAN*Yie+eCzixbzG{=;R8HJOf$Ebc{+TZ-Ut87 z&T3(oNB!Yk?T#Wfw)YRXXK?E>r-^<75_;#TXjgjL9$!Y!mt*MCxhOqfO8?+~5j-so zGBbfA1dj2(1O5Bjr#J{92>;=dv_K+)sss{aZ(1|ZjU=o)XT{CYRd9#16Zk!JcW3A) zojM>2BzQ?px~1W6a1b)WrB_mc8~=Mh4s+6Tdyev*eO-bI5UNY^$XH7-^ntS=b-cx} z7=cfPW2=%7AMZLaj`FS|ia`DcFh|6R`$9hnG}JCWElzJsZk-<5fUqj0Ynik#_W|830?3AN zWD!Dj5{i@an9`D;bOrA^WduqOOT|)cY^5yGrg7lgQ{PmyWiDFLX^K`Jsh!$SCfbRL z0q0HqV*dv+`|TKuN*W7%mbEsFu(xxM18L(EhI?=8Q<;fYaMM9-ABHPNB9K=E1X@Zu zl=F@%Km03c=XSpg<-Te+p;vnt{)BG-4lo1R3LYVLQRWV1YCGC^>fzEB&UzSWf*EK6 zQfQ_OTc>~T8_Jju(DBh+7}noR0nT3JgIa5#ew_pLaUaw*2I|Lts5Sv|>W!euDU=m6 zc5Ao&KGgIdAigX15>`8Xgr20eLF-6>w?Z^<xBgBi zljhx^7L~&9@{Wqnp%gGnmn4B_B*wvj3S6x3mIf#D>CYy4K3TDx!2SNq4sL4!?Y79q zebV5_4;HXEm>`xdg?B~ikeWw?7VYDB_Yqdkri#NQ2%=?f>J;}e;yzAwAIr@ny_4`E zd=Z3vkR*Et;gR3aMb^GrT=T0|25)&E%(2c`B6puujT&N3jgaOKdLZ>M4l>? z`Cg+H?x*Ms&vVrC9QQm|dY)%{p67X<7rD=J&a3+xUFkkIH1HY!q~*IBI{jpK`(Jzf zuWA2lzyEc>{~GW(;%rm@YuNv~l6&?nRgm1f;BV)Msu>8R(<0RDx#z4*|JHfAxdGY5 zMd!KaP)7)xi@#8f^lX7Wm0TH2t;KwUK_V`D75p+nw=@KxQ)JWUey9L!_aJAfDI4kG zr5L*gU1nZq8+#5vF7$qEqpWLY`~CC2?-YLj_v3uuDOvvSqkZ2g#QyJpq(@A zzwh#WrzD_Q8_ZU*@)3mv=p`(&H4&Q#zuHQwozmH+wgUE6q~t?I#a(>(NjjB^?j#` z^|kSg!KioJnB@)+k`xRNlC%s43Es_cco$aQd3t6BK8I8B%BZqQ~R0TuEcs;>mq5RHJiaj+Zk&v!DMG5}}H@0Tli;wBO7m7hYURjZ1w zr2M)`(g~6DsGB6c4N3R8Nz$#5lyZ|qMj0-1;LXDF!yj@w?aIEo8rOEgL@J^Ji$Ko=3TX;`4O z1f2s=r!BP|V=`|pK1T&XPIa(FsW(GS?Vftx=hky5X#=X3pF4FJ3c96%vdQv)vf}_U zZ8Vu~LMEqPvQZb}ngV-jmkpUqxn zT7EW-lHHCzGJZTa!Et#iygA|Qo=&G`gMda@_G18b>oXM{uKr#vB|4km?{HAbWI(9t zF)+dk<2o`$Rp2~7NwP1`kR&|0z`?^i?!DA|K}8@xHY`w~{;lm^>dQr4T<^BVJl5dn zfDt0`eAjc9G2-^><!XJ z@66cV#Nn2&D4-0ZN3%iXH5|G_dVB|=r#WxZmr7#3VOEbGi1f}&pq0TlUYm$u0dYGw zf^(vz4|&LbTwb(C&!XvvB?%Kw*UkJJKK5u(ath(%t#ZyzkM{zpn>19%oMnoMwZ9xfEV}#)thBt8pC0!m<)^M86$}|^n+w7^KY&}lbLHHEtU!omVWab zW}_XkO&V%|&j;%>s6dHg2%ZNh2Eb}uZF@BCs|0>bA>rg%{F&JfAoK{aU2fJdZD%#p z_r561HTcY)oy*ie!gaUGL=N_&&amBkkQ5d(8D^mbhIZ|uqyZcg%6cGLij!}?{(ZIu zUn?iI1pjr?h(JjX0;_t`PwS-T3=Z%wU;@hzQujkt3V`rPDv5lGePGbA5&Ml2WAM`# zNFIe^(&Sd()55tvKJUh}9EzV^EmX{UJ5@P}Pa4t@O7RF-J?5zeC(>{divXB!-Q$_k zm9r#8-0+R_z5b7!cGQ|i!>yHE>M(#4oJ3|F6OD$o$7^Y$K($?}h3PxF(3L()D}Z85 zDl6WVF3m|s(%+vlLgG3ot}s-fG#ml>w&8IvaZK%!3|PUdE0?Uhx{qoh#bGJHY*Y4H z0wh#d4LljFYqaiPmXk;T5ojtjJNs?K#Pod>MV0zXvm7h)ITbNvH|t`R&3JG?NbkirAWNe+r`YazKnsm3RtcGVfINv@6sV>d z!jI50FZPv*?SN8d_Bt(Rf6)TnnRdtJ3tIftI8^;<8!>7NPiZTbdO0L+e30N5~@tZ2nde zumaFM(#Nef|DiPvA|9djs~wxABmz~LMdb=N42P)|L_3w-4O4-FQE9BMRQE8ujJNS6 zE0Ej=5nJS1+LBH#McdIg3T^@>dQOk^z@&&r*@VByRgz>(e6U=QWGB<5%!D$Tr6oFr zGQQ4w1s_v{fh6~Za>60YLr1uB&=gSXlBFv~eC`W4&Z#~gxy7(PL(6!^Dl4b(UnnXv zAB}5y`XVb4T4x+bR%DQJX0VIMuJ<&XpvO+`Qct4wqR>^g3;lLzs-s1)O)G%S`+&Wv;T2^u)N4g~*Y2nGpyYbTd zIXzo@3apMUzYHWwF>R7L4jBmyH$wt{G^zuVo2W|@m*CG0m&>+#tiV`)Z1()dfziox zh>}@!3rBe702XA+cBg?XH?PUJ4Twbn#`|rYEG%IWZCLLcTw992BiBsLo{itpNglPr zoXrNSoRw*?G72Ey3|7xKqAJyso`rh6j!hm5Ji%Mm%Fcz@fZhZ)kS%3uEmECoB0&xZ zg|nkvkT+okn8&nKrQX!$bVzQPP0i{|&3yX26la{ch?!SjcaBVi@plx~@2%+^9a^_l zS*s%b^ji8+`rKYWuKl-=>A zuTK-2P=sbK3;nExE)(3?i0#F-NxzOv^6RK1zIyZCqF+ZRC(GB6`8r1E$X*X3^wY>B zJ_%a$sZ!`;uF<)laKY2=k;y~llc`{`R1rEy2BUGxq@yPN9rg0~P5a8p_S7@IvY2z7 z{D>}2gVsR2Yh52cn8&pH*zZ0LxR1P)*1(p!k74(*%zccwkLB)Th5I z9TkZGKCm{B;b0Rh4wb>i0Pk~MEf{FT4c6TRs77623&Cc4&j|~RaVm@zROb!o#m^{+ zmB+3OhE=RouD&ZwAUkG#kC#9@UyIWrtb6wvkjJ_gjf9Bf-)Go;N{1{C%4LNFMt;(c z)^r;qB95h&L}|_1l8Od6d?j_k!NbrZwVG12a%_tn5ev~E7v4_F&|7Drvqw;3 zBzcWYa$`S7C8He!DSJ*Yj_Ix7Pze5_bXZ41q8z{t3H6LawCoVO0)q%Y1!We9P=-OYTO*V#co2AOBr))t+@L20C?e=>&gDktq+i=! z2i}Y#Z#bdeR)stntW%>ZSHqdpR(t-34u9bvO3(K3gop;IBRo%or~!yf!Gpk`<-k|^ z3Ra$2L0pM$qqzLu4R(tZdRE_HF8jKQ5z#JSjb$}GHWl^^uDc1 z`^krGMSMB1CE@MVIinGd zIKyb5n7|BUF;0MPj7FWR3*~?skQ`5H4x>Mucwpsd z{2d8D|2?K|FsTWqmL!jCT(c=q&%KhO05{ctr2R#L=|*ol$2_i`Ba_WM8K9>QCj%^U zUU%R%IR|udBPI{fNy?J^A0e6iNF%8Zyue3$Fh?;h238kT1IggF{j1D!e*R;{0Tc>K;h#Po%P#}3| z<|9bJ1@(>Tkz8DQ>nOZt&t+TlW{~uXaqTZ4Z)Otc*2I%y>D7lhk4Xg1q)r*Ofnlq? zcNtq|JIlZVjvF~f)=dy;J0r}`=&*U8ZvrN#fYrS81GJ!6#z~~C>?z0<{GgV@QPNe>cfP!JJ5kyNzO#Aq4cj6x~3U;6na%(t#6$8!PEDZXG#8oCe{ zB4ZhSFXnl$H*W&q>8BibB1Z)sB!544kuCto`usxAH>G2WAd z5nir?@c|d(Y%fOtbYp~+WiiBd$$|shhp`S-oHP?@n&-#ho$^x*oNDUb1?Ee(a`=?k zc>ym`_J{NuixK-C*0+wakiZ{M51Cg{zz#Vv(bUXt4(vlsuLLQSnen8Ct(0QPtkagS}QBk_raYg_dU(pISQAYiRiFhs=W`qo(5dlC0L z719OT9! z?(cvy#6fOc;_~Ijl2jP12rVx&ES@?yqJ%K`AgyJ%1ljAcvbW4o0on6Xkt=(aio#$; zsJO^W1xECgTHlDCLoUDCu z?+EYFy$f`!MrFRSr!FA{yOm*`CF#R-tIx%u(M*xJlf(RET|Ia!Ga~mjvfhTaPlb13W?SS3 z-6h@8E>a;@syq%OCTt0vk(B^pL`JCDS3GQ#CP0v5*mL%a+)v3v+tdW-ies8P17-g0l~^bGrS@%*s6p)^M0+!W5)LAkLasKP@k9_1d!Bw8p;Q zhqm=(Ka!h{L`mvKg-~cWCB&lirdgDpG(p*EPC#rvtgtJ&%q08){hkIX~c0B{#w|QvP+A7$xZhVKeH3_YrOPrE>CT`dPlb0 zNDRa~wEjg5>KPO8j@WH+?h$&nv2br!vj3(v`=^7Cp%wPy%3Eu&`datExH)(R zhd$_Ir&!n(Sa$s`oF|{DMJA@iw=J$&o?N(a@%;Gq#nm;5$kOVi@f0lL%F_7OWp%3} zRV%6%$5ZhzmK-gq`tp*6UC}Ak@VuPtHOnG3)rlLH#kbd8A6Zb9sERn*nU#5%9r?n8 znniX+%LADj2cu^CY7#(_X}OD$bdj9+RuV)?EXK@9PJU2SSG_#BB)&bdJhHrMMfC!Q zqDX?@YJsqlRjEV0$ibRG=1m;Slg9~UPuA9gVTKcns~1ET)-78a-yW%6iJH|^kte7^ zSywc&B(iWZkWF1uy(@ZLAalQiaDG({Ihc%ZU0$vE9E4y3axJL_!W$OhH?qhgjCYs@ znU8Evi(pWe!s()0Ba4?us^%vs2^A=F#tM{qMj&&7EpwYGb9sC_+ma&T@Zg4JkPI|g ze5*A0{0JJ>w8}QLQ)2P58njBSwo2~=E0;MK(MS$Pw23rud@GtbQCG$Mww-I2fyvcq zOtdowi9`>Ar`0Uq6+J1CS>>Q#R#P2WRu=(lm(_twb#-o|*Da4MuEBrtt+mO7vdf^~ z6^#Tk(=CpU<*RBERV!H^G;S$S)a{CnN1Va}pl_{!NG*uOw=b^-_mdoBUbAcgs^m8Hw%Y1Ch|mh@R@87w@OGBX*x_W{x@2+9^_o#C7T@k>T*;0t8K>Bc zem2%s&9AoY4mOg8U0A7@`7_Q&HjQq@Wb3k8k&+c|qod6ge47Q|mRPndvb3sZ6*}?! zMO8rW?HMY&5Fg4e$hJKLEf+!Mcp$SBx@|$S7WxytYI}9$g7YF!)TTuM8LnQk3+wAM z7h33!y6T11b=5Uc4%O6YXmZQ^4iUcvloZi%$)&Y{%tV{f(*Y!zeA^Eh)l)-I_cKNdvllF+0Mf%BJCC82m1$G6wWmlMHQ zRoXBx%K;AYH`*ytw+xJ)7RbC-YHPl{3cYT5q6*qF5vi(KAld~Sf?dQ5g$FtoMz2mA zR}r&uuMcGY-N8crUtO~dCg8e7CX?Y`2Xz}QwrMUX=RoGmHY2SoS;{g{1p1iMTpe{Q zmMx}gglwtFM;BJDYl@%ZU~%={l4Unk*PWb%a8zh-N5_dQsa{bX-@1ghyDkEbD;CrN zB?mIEVD*`bC{2BJ71gJx6;R}$iPREtq%OV{8ouT_@d6w)b&*;s%Bf3h#WFTI2wl1a zFR)sKTOnkm284lqMODkub=}U?A)N^#X@r5|1;$N*`n=R;-{xfB&g@k+a4c+N0+nEpUck(P z2rMj%Z@po0Vi6R}8F-WK1Izhd(5+8R^~%M|seIsbE??#}1WFIjNA00}{>ws>`wG34 z(6k?E3kABgI$_0}7*PT;O`@8Ho%_7a z)Zs|aR_MzbTWCr9+;k8Liuy4%G$VT!0&S1z|vh9g(hRY9p#M=k*vs#A;aE6X!qvbcv?C3JX_?p8@;vx=T0iiDo6V!8Mq zRoX624}=vZRb>9E;b{!Ne6?7*Y{BA%R$w|-Sv9-$dN8goNjtAPF20Qp4?TEVZ##U_ zTEwB@t+QU~b=KF|G9e0J4uGJ^VJE7f@lAuV_tEb{@4M7OZxhKPG~6db(_6AK2HPCS zOtqjLP--;^I2CA8@tY$sbRr4Bi~a&19DdK=F>2KoG%h~Iju=~kU$s`VP#KrP4-=$-xa+4EbDdbJ($oDdx-QOqRvlFu+}wOt4%TYMMf)uu%A( z7g-cJg>w99MSMF4u^fh)Zq4#DhuDnUoMG;E!f?c8%kEgP3}%BK$5wcAiTUXEPV;tf zM9uLu#YaXlRe{Vi48X~d-LRkzjSuUn)Trcdb*WKLnA9}cjJ6ufVa8zZIB2!i*tP^? zSM(!PLpZ@|WH0d*2cN*rrNwoaTrk5J{8;*T-{Ck!emkE z87`_!J@GdFVhQH|zpRoiWzP@piuK`@?`iX^F<7${;-+WFH36iK7}wyU0?C*YzS@i1yn355BgJr=H-F+IXY1d?0~~mRcpDRa)OW$2Pwi z1Zi@-I~lB~xaAurP)T?nm%rt@C|n2li8SnfH4o7KYn9WInv0P4zt+E zJ-fs?p4>tTwZnoWg~P)s%4SfU_K1SAq6i^D&eGl}W_lP@@0Pg^{@Me@QCGhCFWQ<% z_YiBEx?;Q06w=-;4V9oCByq0=P&M=HDt(lbtvUoyCoPT;ae;VuMJr8yKF@HT^=5ep zU}XhS;M64)$bU8_zZ1{+(nm=jndD?jU)-LcYQydJVh~)n5d{Dyb&4!FZJor46(DG) zUeb`aZfQmk{hT-^5Lj06{Id0#Cq^Wu4Fir*ds+2i*1@5-V$p4A{fSUtB*S*^-I=B6 zq^82zDi4KPNNtpq+AVzUd?oOi`G%4mLqMW>B_yTNAw}0_-lcSqwOj^gSu3entztJD za*E-di)D!y8PtdO=pt0_dCWQNSRo7Okkqi*v=yG?i@07%VJFH;kZhQ5h9|lVYyhy`(BarJ|pKnn)4nv?_JVuQ846wcaAzpB|A}s zs|wHqJgUGb2BQkVQgcf{SFDHVz&QSp#yD2R;8;GAnx3t+H5sT>Ga$b!I9_ZMkp!tTh&=;@&<^JZhXZ@Djl6S?Z%06RC!8$g+Ua-5#sU)H3i!syVv$-)@iN9 zOeel*vatTF@H~{ghC9`;f~ph+0& z79EzTk#$t{*FiF90t4AoO{O@02jZWAMm_!6c<7R6k*fzuAfHOs*RTO}U3|hGvGFi1 zBS$Nz&D_B$2zbX29!%QE?7ARxS2=YX})gquKGs1sj6>(N=97M|7N)N#YC6D8=?4ryGGQo-6FVHWaIST^ni{PwvKz z0q!@f^l;w8WMvm7TG!NpupS@VDGdWiZ8x3gnVW^;Le(c!O9PK)UWbiLBDk%%PT0+R z^j%UXU}UPWOmB3jk>UaeUrCn_TGBxLcs8$TOQ+eS2@Zy+^anz>kAw}xGGnEnE1lJl z9Z8=j<+nsDA!JAAayqVo{cA8+VLf)@gmOR7u#?H z?uLHsdI8ItsQrNg?6%IXtom@?QD!}zegzTt4oOelXp(T?9#j?o83=Lf0P!ssf=M0- z_9Ry21{Xp)7n8LVaZCX*%Y|SP|0x7kqT=(Z&S%fj8%VFe#k+ysT*WHFPX*@D|Gmb* z#RlvHTNkUx(NT4!1y9{)61XE(hsZ3^_cp#`eYE3Bumw}t6V1!bv7~?((a9#=*}B!% zq#^+4e3pA2x$;0kSauryCrmVuCftSlIB*DY>W_r@3i!ELddmF-$N=23%SV*wYjY{qJqjVKfX zD;)_sL=To?#gS^o6jkAy)i1VndXOysa!Ep)=UO`k6u#A5;}V)?O6R0`(&D)<4Yv{0_&$w;57iUZGd;6&BYa2;o!@-M37Emol^3O z2#Qbh{0vFz|ENjnZi$w`9}P9d@qrJwf@!pydO($|vggug$k@R!n0g3u<|w3~+7J%9 z{spTDgGS}YlR5wiPI9x^yX zI+s@vV4Hb{ex7{fTXu~PPWF%+!0ddWM{Am!A^b!MDO`7h>>}WG=7!e6p|hjhl1H^c z*BU%?v`h*KTQ(YoaEevNo32oYtUEqHIbEoak~+Z3p%E4w2@_2MJD+n|rm=|}Wm-o> zr5Ns|kyJ`?C-4P?OMH~11}MZ^>98RbMVp6%DAh6-67Mb_3EWw z=W%Uz;E={>$vFPZ)NBS3d~PU5Myosr4Ay2diVy&1v;bg*6x+aI1)1Lm6f(pS(OWT* zuh6ZtzTCc9b_#6)mg$-wHPDSz@Phigb>UjK|+ne3qk7xc82I#DWVqhxNJ z0zIRUIpW3XpfVumm4T1O)^I7BIq$>Rnv+eX4$P{&V9tP{ONtXh>hHB7iA~xFpsMIT zQPfPYMG~FKgC|6LCawb|eYpP&PCJiiV!i)AARL|DjPpS|_h5$BUkras*zI;yM+~9( z?Ik82Gvf&bnc;!0f7+>k-XNJfDtXic6=#+}=usuL4{U#d@f{1En>?i<2xXpHfy*0dXMbD4;x_1Vms1DsEIYgU(^(pbW;XnGWulYGuzgMHC5KvDKo{;<)YE0C2=)2k~R= zC^6v3D=ZewDY8SmoQxILWBDj)l!ot|q5IkfRv*sSHv1~3A$SvBv!~*NnwdJh(zM1~ zg3AQZ-X?knhNF6yYdAPlfV^ItGw!QE*FgtHC#Ey%)#QD)iFpJRzToRnO-!y-vL3RF zmYTDF^+C3p{aDm1H&pkkEdOJq)&6Q-hlii4dm;w*D)k&sSgFS$iqh}!-JZCVwt{~) zn%1*#x00?ZjQbX#p^HiexK3%0t@v*30Qfpo#f@yQ!@W-E)Y_J5`_KpMJ&tmBL%uqY z=+78!go;7sl6&3Az&COoa$Z}C!Rr>e&P=ZB?1l!c*`?v>YcTAzCbS`R!|4+C*r!1Zs1d7P5a}_b z2Wy2-+7W6pSAnEmW4arKfm_B4*q!4A^k?qZj>y(?1%(B~qsS?Z%3s(fh{4P)LVD_F zd6&CBSwLpcS_ddI$l=ILZu5Q-&Fk_Sy--c~3qD@&Y(OvEkV@VSIyZn@K!RWII1z82 z03g1z8{R#Li6LXk*@M`jStW_mJ1oD=jAq1>Nn(apVW^uejO=XI@3JlYT+H!i_PL|a zp$UjrqTJv|kdMNQ)|ms{%pJhtW^R(_kRbE#iV(tOe2lxLt!XnQ!0Poe^b?gEPVS;h2Y1bYB_WAyp3ll*1~K3lyU7g_}2n6?V|l zPTU`nOee?MW#2~dV!_OTAULPL;Mqv7`x4>L#1oJq)!L!4^}N+OJmGlBs;8Va zll2I-Y>?t`A0EEBIbK~O_h84GN#sE0aU=D^YJOga9VQoG?BpWzIdZ&dA5u+eO2HN+ z%;cZo0|?ZEd*sMWlo$?fKmzC!6Mlv(->k$BWT^8@ZJIkp2q1XiKRE?1=7`J_9%$8;Mr3?Nxa|PhpnA3Z z#-qdUPufx&OsNdlP2P%Y?kvkuGl%6e1uM)ZCkI%2X?u2>K5wT%Q#(PA+?bZxVrn2J z(tb>oil$w*u_AQcdsctcc}#NGUT`!>ldPG)7(bVV_k?bt9=Db0#k1x+8JkiW%?d6= zK0P~fC$0>nEP+O&C0Qd0Q|`bg)SJ=~JX?5x@$g9&(|}@{;$T`Wn8FhdL5h`aFhvgg zMmR>vJl}PK8w_1y+gBe7ylUmgn>-9}uCk>Wx*tIqO80m?c`FE?m=3N6PQip7rUCvB zdv60DWpV9~KS81q(G3bpE9z=}0ToECSP+$su)0_R5eP4>FQgC!(&K^aa$>U8{QIHI^XwE);6t;yNCd2FX?I^|Lw2ZhUK4l3`gDfqy$+`z|>`iq*l5Ihen+xCaRo4hH44 zn0lqTIHlXzDztZv1R~^c7#-;dG>35$>oDBbNO_`TE>24?fh)uq9+fUgajMqB^mYJ) z`QnhPFZ&itu#zAv6eOFhP>`}1v3aK?&H!r18&)T9k$O?xB`LZ?u?8dwC1XXqUd);$ z9QVe={b4uKreYr=!zVBVr>Qy)2>e(~UD9I*n)+Gn7-|H)AcJY=%u5Nt3RQa4_iX<- zrIwT=IjJZP6BPnxbkTM^(;`P11K(Sa^HCZZq%mZcw~r=Mo)(5&W|qf;!u+=0POM*b zI)N=*bwt8W;3vcf9x5?~{b=X_=Yz{en?zz6HmS*{3-n%T8N`4+4&QcxEf5_PX~kEJ zc}h%Yv0}_kteM<&0tIXUH!KSdzvK(-Oa(UU2BqiVLpMHH`@EoJ5-mU?*9O5{p-OZH zYlJ|qVViwceK@}e%EO#S(JHEbt-gR!T#3A{LUQ;9niI29vENfVQ0(KhDGP7y#U_<7 zhXJb0(P&~yP)Y@;DV}af0Y)JRie}-jz}?3xBLa(30mA@rTi9+OFoTRYqNy+z9~N-r z5SaJ?n5idGF;*H?2yYGCZRT`L&CklpH0zrDrQxmAg)WDk<)*;=C#2%^sF4h58RnSa z_)(g`9Yo0(P>x)Xvka2i1W=+bs2~vtF}n(+Q;8vqSC723`Kt;#e+zE+T2PvV%_&$5 zV)`Qesfz`dxh+SzF6l_2mcZQ@l$kY&RJJRbXz4*R4)BBEZo3dtyIqKpBE8%-H=7^7 z*Hw^4Yz^Dx-SZ@f5d<2M8HRS2Nto!H;6{8V9k9R6t0mI-Vl;)G=%(P=Y$Pd;RS{?w zhE17+M~O|Io6ex(Eh4WKM<-?{N+z2~D3BHs3I-@UmhPjesj%$mL}pKRu&+1ih*3y( zkoP-1*|Cp>LprGJ$o3SW>rJ@|116zZ&vhnYlGBldHFW!K;O<7lT#e{SBJenGD_Bkp zenv1_00ub%Y5=>(3Y;cH1%>$-vxp78mX3T(C@r@`Utm1tk?$;`Vn@7+HELovp-N(g z_Cq$^Zu zwz9z-YYZ#}5OHRRo=@Mc90tjQNTejld`&Vb+-z3aB_+Wm$;1GtniGpqnZPo9mTW1J z)t96w$R{alZ!*Y%{8(U?uEoI+%>vUmw5iV-lyX==UBs9s#>IUi?U`^dcfNC6A+F%*wM z(^g15x^QX$m%gWPkq&`AjBy!Jz?fz*8cT5ap5EXVS+SqKc?xo9AIv60k%miKa4T=1B)-rX`E8fxFL8 z!xlfQIFKp!4KUi~7Y9rz;$SO^!HX3K8Hj_e`NhGtH;QNAKylB*4uQL_h19czNTy&N z?2odjB_u%$Bmr&DiYJja#tyI*4IyGa?NUhqE<$8Kgqy_s8H98;rKOmdDEv!XCY5m# z0c0N|OV?-45`OM-yFP^J5xc&o$?f{Es$#RLc724su5TI&XxN6z!X$9dW7_qZ7crtw zQ?@1bgLbCWYak%$PLe?zd&azy2oPLm`BDIL6#4lm(ZWQ@vdo~fz3VX~99e+dW-|iZ zRN;TG*@$R2D+%GIlK=nrt!M3K@*?rI%>ldLLaNvU|0y2^VyDlbZpm6HcobA1hF z(MGgAeuZVc1-4H4Y9~zS##s3kKY#eX8BA!j}vt_LIZUMuU;WhNeh@>#0?Z@hEZGF83gya_M;@7-#kv z=6SJ-W}M9qfb<|V?rr1_&jtk?s0tbm)cJ?9JUNj5YKSEVdQ%fLoo_7}f)nEwIr6tB ztBT+@IYgS=Uy=G0RUc7jb z>0A>&mLQT~R2v5z(Fze`R9-5<_-YIvo(6oEVIk%%!9$bz_`QL z@H{DisOZFIuWVn9P50LU4l^4azS9ik_=J5=I*>Dk?jO@DNRqL}N>EHxdqXqSN^9On zwf};S?`CSt1DzK@%(v&UR;mX+EtV+U$2;hGKHfo{8Bc+d*M2DiCD1@uU8F=_3YBa= z0oZ&s1!^`C-aJ(G#{~5TF`zX?GO-G0y8lI-?L|V9xdP(r`0$5mWY95-iEUYhGZt@`Oln8Y->y!oQKSa9jYON`6|_M31?F9t zZs_N~XC zj7^jxs#JO-5q8;UKo*%?P%L)?b{86aE57-~hPpl`Q`M#wM9ZW58xhgbTixHRCP{G! zKvdjbcJ-dT8X$U26z9};IO}m+L=WIQ>1hMa9CS0^=4R%J5Udh*%@##x8x+-slkK4g z?)X&UXpovgJfVH!<$L$z7cw4|mUf%Ka zyO6^fWai9CeSZ+3-Ky_GWQg7tb|DgOKi~ymV^xuiz8Ob7HaNZ*Rm9(hRvAVtRS~a_ zDAu9svFHT9GAuZ9uxPakND`l*yz;(}fEx^Kp;IUdMZso7_8=>l@%ra3SPj0b3A+r% zuG2N#KOV0N4?!?y5fz2CbMeZAvTneDV}~q^TMNZpNLLufpivia?b1Cf07Taq`sCXyS_C=QZL)=W-PcOf6C*&;RdCuA|w%%l8Yv$LnK>bH1*Nh(3}W6@|!C_?kOHUmBklO0d)>V@pAWV<#&-hv|d^``A@VJ_A?*tp)xU$cK5`^@!? z#AElMdeK@G+2NjIa~9MQfD`%I=s2fwhL5X15j+t=v+pEDCksICa3!{G zTe1?n1-81P=s1?Ga=V{Px7uaqekgqr^7KZh4>S*EeC`$T4W^qY&BUx0QmA)OilJfJL6rwxUR{6%a~9$bJa4?YS(GQNCRz5fX&Yu#tbtc zt}rb;IowmXiVht92C>bxu_|v&Y5gC;19_v^#=*h_KNK4T)*)HU2x>-<2HrqTg0kfg z2JStEQ?Vh9ytF%6<90JdZQz&n`USGMEg8KGoz3=CY!>CWYW>!VWMGSAmg5QJcnb>h z$#Lrk4?&1#Pp?<(`dZvxM+5}9Y4BV}g>E?!0nWLQBkY%ca<&-m--vrQJJaB04ymF* zn2YD0s$bDlL~Ui$UA7B-BDV|qf%K$@8w*ELyUL4n+443)QLUi(VJ%S4J>aC= z$w22A9na8R22z9w(jG$<9XWga7C?+a);ScKNT(i((VnA;tPS%D%uErB)UBg|ZM@Xk zG<(WD%yOXHM}50qE`vxkRSA)M?1p8(4HN8{F=?PFdQIm`gBA!yq%KDQ#)K1@PzdPl zwP6AOZN36f3Wq}UyJVUyjU_=lNX~|9RLGJ+3Rao^c(`cJcL+eCq~yJ&1E_QvZ4ls| z4k8O{gZL3WLxs<00IoVRpn(;Jg4(4ZYtiW_MBlh5Wxz^JTTpk536Gjke^l+dQdD1W z*QRbNTJyIovneMkDB5!aMwQ$Li#0E!&Dux%J7PF zhH!LIZ}e5)_spjy8ThI#c~HZ)yuE)XLE4hvyE;#KmORDTBni1{fF%cbg~|Z^pU@gm z2JGoPOfgOOrhfuxs0eOf+9+tpp5>CQ&Fp$Lj5_Jz|WyM#k$QakUF z3zTx;=zmXtq$*Zpt>Y@SInv%)uWmR1fIl8VpUiCU84TvW^xt=M}TiLS_ zl={E@No~k@Xr!M+qXj%M$f8`i5AUNDZ(BNW`ojdn6msriDPt4?35Ci~0J}x|Zl0OT zN?bIRCmGm--|jr9t^N3VSw3r!AIlFs%WBpvYRTfkz3jyw#ecgrviFa{y&nwSn>i!4 zH`Xzx9nzFu>5HF;ENj*HWN>e0XzYc(e?4PN`?B`Z^FV5(qr$Q5#WNbx*D8c!9|RnT zW=inI$MzD!Gq=9Dgnstm2e?53|F2w*3Y+k`tb9xbPVx0raCF6fw-T6Qk|&gq@C;8x z3JtTl_wKq7ue&8aad{jUBqq<5?t`?6MuBGgq}(b$UAml7C^3QQiOx$<*>HNW&@D0H zar5=@tgmmIum7C&^-T0GLijSi#-mBhUpYu6!j0uPF(xtL8jY4do4lT^k>HA`mZa63 zp9Sx)SivB?@~p20O!5MJwVqse9;~Dd)kd*+6WWbqTp9QjVXCBNM3ddkTNBjyXNW^4kRsxgoajDB{AVTCACuR zJW?WYpG4VOif6^?&=aZ7U{WJkM~0u<{7@C#tY7qJZ77uW4may?FY6|M)@ur7 zEqAky^s?6Zvjz%fJzBFSOd{glHjiC5IF$tjHi9QDcS=234>3{4n-2X}-!o9@5Gaqa7&CHT*6G?yN?HrcI3U zNU)U&d^KnsQMd-*^OqheRQeQO>6A--N_VJln$ksZdGu@Pr}P{Br9Z<$^3{Fs6x;9- zHoVI=3r%hy*Q=gJxm3Iu}+iI$-VYwOlC z38RG96-iVEJ*?jIXSoDf(sfKEi~3P}m{6H~!gMf?(L-hwwrjuQhn7TD(sUyeXoI4s zdZqr!pRScv&PR)%Q&o}dwBx?Q1~K%&q$RLzpZ6g`0=-89y%+dwD>}vTFAbuBOHU56 zg4ed=w@vBNkFP9L`Xnu#y)C1?tqXu7i+o*8&&10wENcCQ{JSV!c}CKgb?TA?!!`G1 zxSRYizE%iEqk%zT(F7o@{_91Bs~_@1omvR$r3#gG4lO0fFZToTG(X60=FHcgZ%vl= zWMwz^t?aRW7!MVK@qog}5#{V4vH*wPG9Xd@?EBhNgaxJ)D(n(dn9SJ%TVx<|JKHV; z0yS}xJxrOe&hK3+b%v|YXv}p^Ht0c^{G(=1zUU=@CC#7WPLrb9pJI?d#cGpco1~D6 z?}BD(lyc~@ldh0HgVHa|E`5f{IoE}KVNU6nniLoLQ)HDs#-u3qm5z<8&Ti~=6;1lF z%UQarz=;VZ@95XxPx5Qhn^lwE0rfNX$aegNjizC%>ec*+X(d#+1_}E0YW-l;=q@*f zJ&+ZG0@*?#WbZKHi3o!|XivqN=$!7=KM~<6l(AQnkDrHD5(Vu6DO0rEmb0PdK2DsR zz&0FoN9n@>SB~C zesIN5lS}yWpOFi21)w2;PF%jF))F}5ktM|ddp~Io{BYDXK2bb=G3yIkm)lm@`Owig zE)lL3iO>E;v6XVi6Wa-zc&j8P;6?)WWur#)ia%S1Smi_aZOr_PPM$iG?cKjx&Q%_I zQ2|w1#%a+-bno(JF4mwO+|~KD=M+c*&1HP??=ca?-OTCp3M484sN#J{MDsEd;u7bf zm~?TjoBA%QTqqld9A;U|)a3hAUE$OKu1oiUyT?eXJPQcmKhBq=ZgyS*jP8EhG-M=> zRlzKuLg01;IF%!F4d`pHQPO^RSdo$HZ#TYp8>V9GX3JU|8tKDB@~|T9BY-A^gzHiU z?!``e90JhOoir5|a_nld9%oV!Ilr@AEVXvQK6B(mI7AeFG#{4mFDc=nF*RF#J5Ozi z7bclyY@0m#5o(AF)yyh}kyH4#Ia^JS7oWco*KhNv_sc|J&4`EcLYz_5Iz85!BW>yr zmds;M-a9>pb8=sZBu3ovF66KyvenF2Ennb>6}vMX=RD zEcr#-^w`tWVPKI`F7cNFVmZl|Av5#JfHW+RM`$N3{AXM*1x}jf=+EaNrL6F{K-b{N z5lc;Dy1OJw75Y}P3cH1gXvY%n6M-#%QU+4l&$TVeWrI&2P!4-y@z?G!bJvRvjkp}^ zbvI*pF+bQGLDQt+g(D=4ht^98Q)~%ng&Z2c!;Kn=34iVemR6zP0TQM<`@tI|DE~trmQ~OXiV96BEw% zS8NZA&ScHJjPp~qMfPoTZ>=k*$)AW9`Ppcwu+dXkZL?ZJV!|C*VFq23RRHc;^*ETq zs@Eyr5)JZWRSxt^^TDVb-R1+kvd(#R3vM^23*BVXL_-(hNIzKs5xyHs8eUsIbf)wZ zNn#-D(Eel@BQ$Sf#N~Z5t|^r9i_C}~M1<{Kw`@mdR2g+egD;)B`LAIyL41M|E>Ft0E$A!nNbGKYaS z^#Sy|(+gDiFJl>Dx%p;)Mlha}{9d7qzd%N>V~Qaq_ISH?O!@H^loQ3@Kfs>V(81_L z@h4CU-lY2`ici%y>1c`Klk_c#lo(Tp0=kTx`FB**b)5dJ{WeIxVeapUQzaHKTSHWO z;i5?45g8+EWp2K+n9rnn*rYjI)6f^23Z)9-`1Yq1*9N)7P(;Mt$dD}}Vy6jFB}u$N zDy<@7=Y>L4iAaq2IQ-kPGgcPLcr!DKw$d2XW+e5;&fc|i5 zfvSCQzFW0OUyLs41L*680R6-OipyrJh$19BbDSRt8q7&n6#}xHKr}0~!{4QHd1h3h zjGsbAuOsGN_rlPub9_5kcDWzCWv*~C9vV(F-e%F^tWn^-F6~RtqMw*tyI2!lRzxRz z;A1=u+&Ft%J@8Z#RAvSd{CJ8Bx2R&*>|jyGWa7_xVrV`7_;!UN3-my}X9J#2&=e;< z!Al?1enN(IOFsvtBRQcgf@ULu1*=VCMZ#%1q?u)s>CnIvU(!lu~=&71$~r8 zDAKNVGBEle<_UkmlXY??=h>H|!Keq)vXX2ht@7EL?isDiax5Iw7QN>c5sG4;-8F?( z8;d`bUhB*7n-5Akpa235e_M^V$?)b5WV9Iz${S};?R!h{Au-{sw^*~bl=xLHk8O&FAA&Q#WC7T!j|?{xZJ_WC;fNsvIU{(C(&TnbeZ&W?whA~^L2G<*?v%y5MOm|!PfV$?8q z!@xW2!?B~(!`w3>?IfMiHPJ#ConNOPG|7Wxlfw_)@qHE;Xqc{o25r2xj1)p|7V#8O zH~D{~0u|>5O7XR6j^H9hcu0)3)zcGmkgk`22d&Il6!mC1s?{ z0HoCPPU0NaP%5U3jIczAzA<{jL820z&>%>XC1Fl;trs|-n0w4Vi`h3)!!*9-DFPAy zgbkU&8+V~di2Bj6?$+_hBkYG*z(Mx!C?k@1glU=LQ5b?8!?J5DKYi_xU5o-=HA+~V#CxEYS9gPk}6@)wJ8b*T$ z2Ml4ffl%g$PzDI#SP_|7-LV~Ylj;wkJF?rFWO`XZZXizMQK(UnNV%MZsDUxg6oOC!IaA)?f8DQKShcO|^Q{TH2lYem$*LIuNKOkFL<1-31Rpcxpa!RQ>$pfQRz zMj|TU*eM@4&Ptu{xBJ03RZ=u*3U(z(AM_6M z!M_?D_xW8@N+l|(m_k5n54vMqnv3%S2yT!D!wH-gBbDiIUTSRBuxZOo+GCLx%f-MI zisJ)B#T_U!zm*Cr8@?dvST(2aVw(mn@v$McB|5YvB98_~FJ85>ZrRF6tfVbe60KP> zW`AfX;NB-G3#6?{!gm;AeDJj&8+F{ z56&!5%~~%9y4d#L_*&v>p;;c%Tp@YxWA#m8$oe&Z)}e*69_1C6J>M=Vgy0J!Z95DK zG<*XBEh20=ygoBHdY)VSi1{o&G2wbY7I&kt)K0RRW`VQ%MG~xpmR&rux{uGWYd9$AceIQ4;0x1zg`j4i0j?n4g9=OO*%NHng-UJXre)9q&;Q!j0zb;i>qBhc2vnR~nM5|ZLhgs$ z;{mOl9X3lW)*(G2gg>$(KBo}^IxFHzjpz$%3?fus;8C&O=l>S+7wo4y{3%)Ag8lT>K_CWnK6hNY)t_~e)UR(pz4NH7TpzNZz9-Y@ zOm;v03l4_@joM+baTU#7!`V_YOKNjwEL(YN-hO)D%f2l4APf4b=%)W~_tT&sk-wvo zd0Bk~BKnmB1^a0$oKIZZd@BpSuRA<~Il1YlCul#-(>b<%oYc?WFw39w3k7nj>S-~Wn6|cP zn4-%_HM@0IP|c>CH9mKX@pb`HKrfZS7~2@#!T8<3AC^uolrKA(O+Vo=RZ(?NxfaT} zKnEch&4eoTuZCqJeYM7I)wrroT+S`_cgl?k_X(iq)xcj;5YXQ-)AzVx5$eS&*kbKl ztD3ilA3^~wP}9-g`1P$B@y%yU=#t8*RUK)?u+Sd(w{Y{N;fDeZxUdfM$%nIyg~nb0 z69EqJ>hF3r)P;`ZI5mY=`xdV|1}E69IW~Poedg%8)6?9FNpl0--Dqx*r6Y4Tk2!O! zzI9^XxW)mMh<$SdN*5PTn$s4jH_zY>^oo{9VwY(ZE{|YKg0#t`7aT_$WF5#ZM0Hyh zbe1{U3K#-Xr+{ReH#85HRc)C;pN!W*o49}tbwMW7J!I?68y=EG8Jp-KNtCgP=nfC! z_e`c&-CpSv#kbD)ri%1ED*mi|fUOi$@}V6As`K<1T)-ag-&)~$85N-bdOBs%W_k>s zQ|&Xvj1GRS=m2eipp*O@D3G5v*TR0RhU4;i0EhdaLrf_pS+-PcM^|Zlkzc@_iAdCDX83UuEDYJLvi#dYh-l|(gL{^kf+C%SGs(umv`d@Ppu84Iho*_S;@4=qZh&u1! zIHTfqhv|e#Oz_i1jgdr6*XPQwE5E+{2EFD(SuO;YYsYD*eUH#FE0BHHU@8+2je;7(V~X>% z_6H?By+C7-qCwSxZl~tls*W~s)2C!IYlNx05k^{&ny$p&s<7Lo>0l}%1vM|#buztw z3$-di&KCTJ;AsqxbWYTfs}8El;90J&3`A}&a%e$){Y|9&nwBC1o?Ee-~@-6DH? zZBncQl4$K(ah@NZkAAEFt1tZ?`lXM4&x16`n}=vm!6pEr9c_tn3dlxuP?t)7UARR+ zgc_&?XIoDI=5oIfZ6`p09L8t(Az5}~LT+*^4&42(N_nkSV9Pi3HDArX`WM!0Zy|7{ zk$CaqO7@!>Ix4Z?o$=M+z2Z6i{$Ciax^YY_YQCFY2Hizhd?D?Af;o{6Rn0VvUc&_4lI$N{l0^W-E--ZLlfrjsE zM%!%vsIU2&?Tz=?Z2Qp)PtBy3a=<7hC>ETxzJCVF=qPPO0bSn{6VAm9#2uN6X#L9D zT<;H-=E8Pz+o|A_gXX$k?J1sg3T(p=B2)lbzn>6$MWNm(*u^qmvc$9U{PEZzQ*qR7IVU$AaMn;i*+~r$=_rni-6g&zKvI z#70J9t4mn1Xr(!nfbCbhSgB=qF3te55^0D@on~?j2fP5JNAv-Do^=PI8n@jxZM> z8@V}yy)OA`s|{q4#;ODzZDEX3fDg?e_hih2B9lcsb>q+^f=h?S z;oQq-)d{CHj}y+bxD>-p&{8;oBL^R~vW^oEf^0I^YfD~;ut>MmmobYlethB=layhq zhgTV9Xet3G3~w;ifC8(VLO6eij!R%g9s3=7I73o5iEM0De|F2B}Pkfx8Q{HT!4)$a}y|5V*4Oe-%F;eXytr4 z9?eK1w9PlrHV6w}?o4@nxgB8?W*mon8aOVmKzg5~F=}U*ZPQ7Bn9HwvillcZr!IQG zZv1>8V&bSmxI6V{r3jW2!Lsbca6ylSUp7aC>y*&6zmfiA9gI_*1?Oo+?eWlhv~@{+ z@+eFp*OdY4fHDOqgcePFDik7qt*l@@_cm+2FG zeN4aOZ^E~oUM~c3q!(`MIoz9`nN=*vLs5{QL|rjXOI)PUI2km~@wUgt_M%zbqu+vP z6q+StG|Pgg?BLUls_+yt`m>?O;nj1DlbTsOhq|)1LheJWk=?d;qgtxm>=AMm%$T!~ z#Z%3r{T2k*3KkTJm-T~A-{m){7X=ONYTSoCtyKw+x;e=+Kwhc3D{Yd7@FNb3wCNY6 zc2G>~&N>%=1&{-G|36S~7VT*ft-XKx%KVVD&9#B+z9rmQ;45(M|ZkTL@#cBm*Uk%^VfusRGaIZ0=3k zjU?KRotAkzVL|b%l@7?m|!WSZuSbOCCKZ?A-itFCLPKm^xiHv~& zVfV#xjJ|~3zJyrH*!#g0Nw_z%Y;Wlap!gUd^-g40Y^(k=kQ0LeHdCAh8e$vZmvwZ% z!}V0?4zkx0YyK2lZyMDZeY~B*nU#}Olx~?B^PDS)Fg=8A(&NfbZ1E)P%P4oSO~$$* zRJMi>U`%C-^eKi7NUowMVCz4yRZcC(=gHx&jlU<)py6df2PrTHkdKn4sbU*4vFIUu zfY64Lc4(7n-wJ-h_!*KYYJ`VCKr4jZi9k_1ILz+5hf+06m8x-j;gQbnkQT=_dki!R zBe=HBUBevbXhcgPZJWFC%75lHll|(Pm=)WZ6&qU3Nbe}sQg8$qP83YeI+y-Jh?(rb zG!G*^O*k3&4-R%5v&0o^phI0+Cj$nS~H#j51~e z_^S`6dWR&dCCOs6eY@SKAa*D)4O{{~TM~)k{{nQzYfAAtG7^iRA`3?1J&5u3|>{vqB%L(H6(5sgd7y-w`Aj!l z>;rVP2k28s&`mkR-vWKPEi@Ws>Ut!Zg=hEIjUr@Vz-E_1s(NCTtYSMpV1UqWHYalD z!3C%!97&thfn9#oDO7^?cwVq{gMKhwq61K=d6V|K7YxgCL&pjNnc;zZz6_FQ@%LbK zZ_D4ApCcFfJCbN$JULTC?uBl}t z9XuC6NUk1v`bVW_=vc;|_el)nYdU>=axGeJ6N>iXKmLFSY3P!nQ@N)>F z(EXvyoK!0bQ>ffex#jK-MprJWxe0aJQ?n$v5)OC79<^IPGVRY5xDdiAPZwLDlIoH`G*HpSX{MRuVvg`yZFNKdrr zD%A2aQuPWay}}lqTg{8eFj~!B!4=Eaj9tCFI`ZgZ)N}Fj>L`GLq>+)4-D}W{q-tc3 z@C}LrT2jr(qryLEKcp<%ADT!jBYSEP>o{LPxviMy?dp~4PdMWdPyw>!6R%-#(I~!d z`F9=U%olYJm;Pt^Fu~;?kKxhoD?vBRMY}Ljm2&`nMgQPoExM_bX=H zF*nAYcq!^4-C85Q1x(F)OL~qQ)s~z`z%e@5Nn%4Sqfxo@9-0m!@e-42m!8t|D^h#j z8=O{|#R3@^p#t6Utq6Ry{K8D;{9lJf6(fI^_5yYh`$-Ht2`S8UoM#hpc%V_l*e4O& z#RfF`cDAMmWlDV+y3-dRA+1!f5k+aHM;MxQ2X{)0IT z?wG)rXcWP4!)m9@br(lK0?iTbmV?wR4Y|42&~O9oMhvSe3LU3}AF`+!-KTVX=tIzv z2W~1IH*iNFg7&i3Qod%IG@1jW{vc?tHi1~xvp|F$S_r0H_u2e%S9E(c zs<uL8u14kW`YMugChf>LYblzt80LiXqj znF4Y!Ui=O;B)ic{Yy%VK0UpGc%H_K_VlYee0c0T_?B80$x|{N$a~jb}CxH%p4_$P+ z4LY;Va>a~CsycS0KK1%7R`QeI1t64Rg+JeDo-&x$hal^~M?YQY{SM;ZjS{0mZM$;X!CIddzDUUG!| zsPM#i1^2dgDvPZf3GM#IBjyT)=q4=PydUfUJ(LCgV}#Bt^kfPR386yh6xWa--p3S< zAZJ^$My4_BC?HW=^2Sk|PS~yF@LZ(}68sj1@v`J$RXg$L`W;Bzf~G)I@(~Wl4YE2m zOu@`fzZWDZvY=J55OgWp9BF~$(E7|VfqPEFd)6G|Y>0k4#~6vQ&M}aKd<6&9h1_}1 zw_%}?sV>u$Zrn~UZeMO(lNV=(X%D6^-@Uo{Sa&T?ZlLA}=E|Ym1r4Y|Byz5w?L_+7 zo|^uoLNfL6@JWx%itq~bEh+`wJ{@S_A`)_R^~)pDM#&Vq8VQb35ylG!#O4R`g=zic zBK^4Hr9Z@e(|~y$U%U{nbt_B(Sig~VFwvNDt1D}8K7V3gJ#9G)v7#xZ;vyocrx(F` z;tdgv41q@|?^N*#G+ga+Z+~1BVvYe-vL3zJSIIiO{(qyAxw^wouyxcOn$=0Z6ZD}Z z%*b!COiWcS;)_@oU;!>LD-nT-(V(@2Dmdu8>kP7l%B6Fk6@@?PGa@oP5h;Xg5DwWe z-8tA=K>~rrg3?>?$+7{%9=Vwo9+Qi&)&^|#A>-~5i#~|#O{f;D*W_L!)S+)iz_;VA z!!=U0^37V%itA{$a$k?G8`2_{ww173Afi?4jNpiW9)l5FXEJrK(2Umu3rk6KmN$4X zacLyZ#GmyNUoD9b&Gh~7P;1{1zr0fm=*Rx>AL(A0Hca2Zn^@0OX|+$ z-%Yr;_R!Jr8Q5^>n7ZTAXJbx_a-8&;c5*us0T!JOAVAw;`e-5RL7Z~Kln|1|lfKVi zjFIF9an2hOXow>c5OU`vESpA|) z!Hp$S+hqFsBLGNLHJgeY^(q%Mk84=1#U#| zZ-Md(|EeLfgpm3PVo-Jq^sZPXjtF8Xqf=_7e>P{dgjW=)g!=d=?6zSZLh?b=*lF zheiT-!_OX9b6f8Iz%U~2l^3pUS2mY&fErXXy{{351guRBj*9a+IJgw~$P8WJ;GpGT zR%A6R)DH(^-QvoL!oivq_g;g8OBIxagR;-IJ*SY-AGVN?TL_q@Pa&hTyGfbM@MK)d zqth5=1vYBTjg^F!}YIY=Hn%Q`k+O9|Ajejuha+5d`C2MmlNIGGD92@MMP zIVorqf;AWi^UO%#LdY>_o>JjbZkxErL5i%o>it+qv~$%)gza248JQgJ2;BQ5z$$EN zT2eT_Z{w6qzq`JU{Qjk{x!=u>426@};(o73Xn(lZ!s_0@tvDSht$PCxCtxVK>2#zh zlBt%&+;M^%Gng@WLlfdk&gk)*H}ul489*J?Jn&uCYY|ZtJxL=@Y?PbRjiM$t8`tF5 z34S4oV2?50qHLQEuwQ)=Yvh9h_uK{8_=L~mXQ{CzqLXkk8F#jZ-`>38ZQq_uY|(sM zcWhc+P$aB@3+rn1L=CeF#!=;LFSd@xP+%Yxas60WMT0eV-JxG?1?HQP62HP^TiqIP zep-AJc$Tuf3rW!3O4P#@iOhCgRvPRS0w}5m5{6KNex+e{gcjyS8h&p!VSaBi;Sj<* z5#B8D@7K`KSa?VMh8;r#_k0g(Xgo}>uLfd|bDqOs3(Ibk5Vq_F05A!cM8#wc?6^AG^Nc&*3A&4 z^&84H+z8Q|P)5AaesH#|p?+ya#zj{4gENkGpx)+-YfK%6gha8E!>?~LSl*#jy?{=U z+x@#!v)g~CR@di@hWZ+1%Rss)Py1Nb1s=t}+@UVEwI=-_N$>6R&0k>I5pjw{cnM5y z`*; z1kCS?2RXuB>x$(xTJ0!*RcZL&C}(Lu<)GAxE)>>|vc7^6w5)_zR>)jLw4kEPR1TiJ zgVM_+Vfto+xlMIlcB-kGiZd(XO~dzfVHOw80LD2Q`w3s{0x#AK=*2QryS{iBZM>ZZ zGGZH@4nq`%FxYF-*g#X2iC54{Y?du~6W!%&*c{5eKu;8Pka z72>8xX`JZ5TB$(8jhIVI`?&hXYLI>hQtmML?r?RDPWfv07j)>GHGBfi;@|zFnNxa} zN>Br;Fx2dSLPvL%L8V3uAPCtWMgYLg-WDDjqMI*B(q@gr3YDBD;*RGI&nS<;q#_oo7^8-R?Uc+C|Q>LDP)LZy}gSFo=e{o5-FIIw4EQTJ$3oxY+Jz5d`$ zMCxuq9VknEK`nF@p#Euv*Tob%p?~ej@Ir;*z4a3zg&&?rihY|!uEe5^kyzDMl(WOQ zhO9*x?~yY7=B-w`DiGOu5v&xjuyn!V5Zk|piwenWp)w61uQ+^Rs-sqidek}f1MNqO z0sNru)OTVrF&B%xeJcwYE^H+CLA)7c1^^-(r?){j%zzW{pLOOeoHG~hhl9fv`$I=V zV73w}J0^$TamCBGK`h`9iE+iBM@Z&SJK}PhTwDvgXZqycKs+f)EU5_pOgIKE&#>>GIrVR z&V$WtmDuA;F+xRRk1Ud(`xfvg-k?8htp>*X`h7p`)vU}T?KNDa`GD+Q@(yBRZQj0NH3yKrR`x>obwNz1zW3T@h z?RFXSM;@IMo;!E?%&S3*5|bG%ME69dw~h1(6zDe62~>R&j|;p6I$WXxUM5%qi8qjn zxZzEYNjS>n5&GZqsJq)KwxK76t+}x(oMhH>baXWq;0D!Q!@ry6axsnzQaC|-l(}{3 z(QB$^PMte_)=VI{A8!AtooqPDm|e5ObHcOd&6*B{3QS!x+evLPac$1r@|mCE8G>@5 zbvMrboHZ>h?@LhXF;NJlOc9s)GFT`}kH+tyx)W87wKW_q8uC_FRa8pe(fU5G ze8xQKMGj95W{T{7mG*7p33330%D15l##NHSC@*GHD+jaWyR@%iWLfs&Q$PFemm_=s z7%X~X?+3^2&72Y28|xU;4ta3rh90hIZJcN_lpf#yMUJxeiffEgwyoA7!fmV1KM8?E zs(?9{wQ?gEr;_gm&c|pgC0~aTy7c%T8eqf(BTeDN7%OgVz08Bb?96f~9z7JVfI8R% zf^_NjuTp~uYn^=U36}xTRm(t-PNdYqMl|r&lZZCA@E>FbL}sMJ;|GihH$HJs8-k7n zMHrW%$b}#WQ}0XKEYt7R#W`tSLK@^)vWeC|6p6#=OCXMTDTpf7rX=n($xipuab7x! z(QQ}atZCdt-wb$3h%~|94;3IcxjERs^h7VYBq0ZhYn?s%ALsVExVhK}*hluF+ZwEa zd$uZ}dvpzx0VZ7+P)ngC!VHn9{A?Fc7#`{SzQ7k=#4uN>TZ?dG3(PCzspJC>qwB|X z!(*&+bf5V8ta#WHy0Y^x&WfLiuDE0q2aF^J3|VD4M)yvs*@AWL0rO`iE8}9!k&{g< zm<%xcP|lF8K74?>UlO{X;!Ogw-aq`AzuqONx9=L8ZT`s8?6_KgTxCvVRaWFk&1p$J zF)MOGcI2s9k&ChjR8p|!l8jbzkegm`10ZARz>>*A@{t>5!N8y`DwwQK+eu}LjqJ$a z4G%a8P1f?y96|AJ_7j;nNFMZ0FRqMyZsH~~ZnGCR(H9qD+!8M?fP^u?7huGEXO-4%5ZuKUaPZ55cwVp+;uzj347-prbhWZZ5q&h~D`EnwVty*S(3 z8MlaWcYAS*Sf16DthmPVM)u$ZvUM`!k5n`7w8zfaUK6Df6H_n1n4GmBIpT5(8{62p zIs7Xmo>_WK)r;oDSqUehIY$GyhbCb9)s9Z8%M}Akdp0C}d_zyX;-D<~=}JvG6h+|A zONoScmeYAdwI~NO5?bQzzPU{5WhyL4F*%2ZY1HBjVtuus9eWyiVx!;=jK_JuIcE zxmyrkF-CxL2J7zipJse2-RkF_e3D7?yeSx{CWSkrT&3!Qrin(@<2RsL6M+ooZLvXW zQKE}z2Hc5$f?uio?tIw*0$JD)u9-;`49iomA_n<9vhx4|+c4;9&?SvWlblq5q&SfU z?70bLCY|Wa{CSBjC%wRKkOaX=Qy-8X+fPa9D>R#^5TKs?c9RQ_(YzcAS>f*VaD_@~ zZ41J$9;Lz=irY>gD309uI6mb}h_@o=R$(OmS}_S<)d?BOxsN zJs1x^Sk#)WJDm5BbcznFE7Z4QU$Lu{oS+fy65-cY{_;b~(b^~Cb&Y806Y-=*H1~=4 z7ma8F`8!}L`!uB#eOUrqF4SNvf@f;51wo$PiUiFF%68uR4NVAg(HwPb$CAQK33{iduM4>$4KkMx_cttY&U`3%6?(M8zF;M-v| zi7wB?3|eRN;kSPvT-Ax@?R0&a{tUEikGKw?0L}~oxh>eOp6?Ve8&B0n@ESn8$Jt>ET!;d}GFd&%9&>~vyk!xiUFS~`;0ehF@6rrgA$`7z z-)szYP|GRp8z@AEfE&NXL$f?XW{7h+IuY^MCP_nSg|wEKBrU!aI&3Lji+EYK5TD?U z^F`Io=1SBCOlkcegFTSFY z&G`pOb+SyxBSGegN*=N`x8{oyk6$NEL#L)W5RZZzKysvcG%F2m%*4bcm$b@nd9ig_ zF`IIFT9lu9&;)#kMA^1xVg7M8Bl|o>1L(5uDtX%Fw|&QQ13gypx@t(fv=bVwz%=m! z)EXv;E?r-X;{+mcn)UjkAD>btHsf!e6rzh@WcOE6PX=$nVfM%i3B*o^U(4qhS9t~l z+Wq0|0cyqfC@}~T9jG$IUzuV02eIi{X(D;koRgKN5-zVgd+r1$hVsstUWQJVl`Jx_ zWR?9T6U)oXDIOx~iAlx5H?HY`Rw{`Okt|aEJVFZnh=erap(BT7lBt;Hg&f9u3}pq1 zsw~4VzDQ!)WH}%{E8loxTYEhG>|{vDu>3x}>2f(2QO7~%Mnb)QQ+1VRV^rW6QJEdl zj>GJ@$(rI^`nnFDfd)G!B1_1p-gJnmih#^ljvQvOvFcFKGqF+~SaF`w!+~uFpjSiu zy7Ffc1ZfjCf|#Ka#WtbXN;5by3<)JX$8ZGUPN+%QtTu>Bq`K-g_2IGq_^w2@6LO!( zc8zT91Mw@NiEet?$3S|tYp-+ znHp~8cypzOAspM1mmut_Td@rXF|>AJXoU={=$L^{Is<1s+IH#Fj3fIt<3YC>Qxqt< zL~>g)^<#<6R)@7QX{gRQHd03AQuB4Fr7MbW$JN_#>F?%9>gR!0JHJs`;W3A_9W2pU zCQA&x4>&lWXKAG983?C7r&Y3k1LdT^z2l&RyWE5`q#eAw+v4s#xRYh+T2|~4Ju*v{ zjv}-pv3bp#$T0AQeJw>S8r;5)#4C8fzEbkEc&{P6HhZs>KTY220=(|@UKinYN4$Z! zi1v&=^psL0>>Y#r$Tz?sS!pc!ce+O2`jP}~9ni9aBV%a$e00vYbZv2Y{SI46g<2kt#756(ahbG_~4vh7)@H5r`m zjfd~eijZ3Bm8l-D;-lf!K8XSTkbs9d-mWKQ0qj$fB}J=}BEL*i>1vaDR9h(2vPj!_ z1to-&BhnxNCWjjX+qe>`Es7xs}bhPHZWa0iw!QNu#r(Y zGg+hxE}q9-s#Y@4W@8)6f}-$eKh6DaxCMx-2NQ74W+#);BADHJADRVr2>rLSZ{68{ zQ)E-ZLw}%6gc>cZKyC8DVH*w0qUf5w6y3$XCDesYHbsk90n$+RgjkPW_4u4rIsq%3pc~gp+x# ztM3P)?aIe|p_Qu)EiE^~jhP;dGS`-vW? zxT4!^Xs=4-o+hG2CW@cDg$e^pVFp4KzmO&Oqa4h#@_WrfThL=qiR-d2Ta+^BLz)T9 zkpI}r-CSAO!{}r+6-3vZZwg|Shzsx#d$?y@$}00e;+_uyP{DDpl=pSVGB@u3j!}zq zR{*rCR5?*U4*G{+X3PKuETSOOB|_XiML;U~+0Idi~htBL4%(g<6 zqBszkKF+`~RDwk|Gyw1vTi(BX(}$ICQO$@Ys0D6mtqTUmgf|DqR5S+0 zRP79mxxP6trlvJ8W<^I}OtdR7WpHo`o#ovT>fTLiw7r@SkkPOCGmjU6Mly4-Vj%knX`%!(;=MeO|u^9Ny$80|nHgUVLJ%YL-Us7Zg-6BF*J zAq%u6M}JLvqvXcxvFIp%E|;T8A#8XwDMkXcm;7LMhNVYJ#zvOp(~V5t`z=>^G2CN0^_1j%M5NRBi?vZDz`ydZhi zd|luL7kR;@UU0P+T<-?Mn>BlwYh+xdY&5?+%Z~Ux}XU};5Lh$EM@jPMJoZB?<4K2O&=QOrptpIkt(Am)lN|H&~>r!zWNRO%nAd(v1W@3?Cn6!T9BkA9=cHG zkThFMHGze?+XJfbA&S||-JH-4SrBrC=xK=e(h-5h{C?dNQd2tn3J9~I=emkKAoePV zKAS2^0q*$L&lB7N?+P#yg2$}{w!mKy1BO(oACmBK|j(? zrI*IYEluxM1Ef8it_tG9rm>eAm~JR?AdD_-906eVb&ulY0hqA4JR%PKN$r~Ddf#zS-(3v8hehj9%} z5rCz3JhH&wuaDxccv*64$8t5-)9x8iVr43}7MUuEJjwZ6EK^Cd`k3lxH~N^$*&$3N zX-i3iJ8$e^zO;b0J-Zq}nH0g@stbIO|OkBFVP*>F)o-B2JCxj8(hJ5oD`R0tf zEZ<0hKEAp4dLQ4kb4Fkab@@hes8Z6hoqTfu5Xtwz&`IH_B_kgxS`WfpLr$+xmKZCB z%1(cr-LXA>Z|%|?T>lfml56fPgzG!k`EVU|1YC!DxTdkhbr1_92PcPL4%|Bv>|GE2 z##9tta#A=M*!CsRi%Zd2SNtvIFxQDc6&PTKRbe(h?D|&xscC`I)r{Fe6Li#_7($9S z05|Ua>Rh)Nui;KRnsHz%UZjzG*Imsx7>dkD$GB-W?gGADV!*Vn8^xq8HYo}%E&iBE zy4LKVE*2hfX0#s?fKFQb?#+1Je_YE<=8o?f5af6J zC_4mYgqGye<7a)A3W<=Lt+-XUD9XF!_HrO=-V_#o$ka&^HHtdrfziXUT=T?gP!9|p z-3g}NVXT?l^sOrw-8PW4fi4@M4BDYGh#_;3<-p)RD^aAZ; zEFK@X`dWM^*)GVGtxWm)e6Ke)@@tEr9N$b{^NPI>_Bs&=s2CxBkq{{k&`dYHgLM1R zOxUv}y?Cc6mYP%`FIxfB@v z42y3~9>#1w3o}8SQT{^M4}6r6Lke6m7Rovu&Ucs-2n>!Q!&#AYHt`X)y7 z^f3MuM#)1BA|Y1mJM)x@nG^3@GhX)t^*}6wV#3Xma2QUaF(1~M4&s$H1MzfVuIBe~4yb#C{O%65b~`jJ#NtM=6C(Ax=yK#O>Dc%z#Q#!|hV!(-YC zKfx(T#?*`Oi#hYezS^9eXozi#M*mXTaV}&>40jRKnC#>}EEl`E^KxG(q*4!uBVZ#F zJz`bQR3)z7faHkXVI&E(&NoGvVpsSUdSDN@IGLo}M`e>LYV6msw&YLOWhroaaRy?i z$2xJ$0H(x=2@~g-138jaFnC)0@~NC*SdER!=}mt1(&{^MH8yPG3+5QZc%ga`u3dWr zbxQvOYL$$K2FoHv7r$_H0@iKGD}XaULp@lj)tAq2)#d%{+>!V557uUVc8zqr_-uiU ztuiPWcPZbsKNu>CM-KH=34vLkVg zVIM3p7lfbHv#*%A%x{{>GCEPcLyFLPTqA4-uUBqo`|xXlLcq3A;bOE>76$HJ)rP{c zuN0kwSGA#Vb7Ncg|MaT1YeKlXErM%hLbxReee#-0yo2bGO1v+?`y#wA#rq<>FU8ev zPG6i;|szS5M-q`Ylmc&nHJIkAGJ_@4i+kTmqoPBn8(@jf$3zA4PsVXo`-Wg+)!_A zT`yjf?G$#(mu1E{-pwhZto2-3)~L!q{Kl}^zJ6cHlW5A1{(VG&k0|gF1wNv{M-=#o z0v}P}BMN*(fsZKg5d}V?z(*ALhywq2C~!@5<>IXZ+ zJg0Km>Kdmqx?;6cIU8?t@LW01xe76J@myVrcl?@vicvZ)sY`2azin&< zs>ytdZ(8Hryn2PR;^rmJbpELxd(-$O&W!PEoEi9BF#|6vJ~e(R|43+!Gxe%Dpkakm zarHE3I{%bkHO-k(IR_6u&Y0#*t%%^^?;H?+y7QUJa;G9ZH#~ceb7lE#=c;gct}|^~ zxl@T}=B$}vXKEx|;gnw;cIM75pNiL6GpB}UIu+$}<~TUHuX5J(nRA`1X3UyjiP&k* zm0<*(@+)V}Lx$-UNIzrN)Xzw$d|r4q;Z#hYIlZC^*px4j-`V9e1L|xYKLWZW!nl*dc^qJ*z&; zqa5^SiYv>ferDS2S(VIQel@?$2$z2b)JG^hbK3PzczMm*YU!cVYF1RQT;fF7mntng zUmLAnzO3#xXGYD+o9mW3)4;1Wbv3olRqQSEYL>5B%vk0@k6Yu+sjIH5apu(2)sbyy z*Ra!}^ItXgDuhb?a8u-Wps|T~{3(H*OrGbN)Hb?_qa; z8_(bI9KYdk?OSFX9KrnZ)#K#1t_x;4CN9bLPo zFOrfir~GxGLT&ILly-el@XD{j74=J4J~5kLyG*cO6|F-(P%^|>UEczk6#ul``Q@`` zf=wg5oF(UqUCUS7Qtm$i@687l1qcmIcq@I_pp$CDxN8L7UQ`G&kylDkEirYhkM84iQxGM zJa6FnCpv0Go-&-^b|RktLU=HK&k5dCyK05Av=*Ip(w@V;wRlo^Vy%aJH{meJU-+K* z6Nh`R*@wE~`Byy0J*Dx3pFG_AIXq9}xg6hqfM@>x!@b|db9x)f#`6a}7q=hob?|LF zem}tTz|+Ws=P;hJ&m8W(4$rTD2|7N9y8jBadj4?lzu^M4)h~F@xi1~={q|e=pT8W? z@Av;2@LoII`=76)?Yj>5zWnCl-k1IZwE9mk-|2wynLtnPGkAuS_Vjk*Iqk%r-e2R{ zeNs>F-|<{Ayr=hmJjb5g(|hhIJ-vJJ6o0Iz_e?x9@a)EO{HZ;?WAMC;=c-XXy)Ago zKCP#B@#%np->>3{A^aSkVQ2L8UWVuKU{7z!Sv|eq##4HBPw&igdU~%r7v+uV>D`4V z^-1rsarWCK=X-I^1wFmL#dH0IJ-z3R?dkn79;Ul!d{6If<9d28FGKlw`0Z`{t~yVj zlkq#&_e@9lHas=vx7GHEmPghq~?HuvzE#~L`L=J#y<4J``w{NSAzD?T5Z z@`d65diC#b-=g_;)|vP(gL{J|1|^O+3aNf8y-4!+5D+3r+ll;{9cV{;&-Jc z>o)lohK6jvX7%`Zllk3Y@S1LZKNeb8d-<&L+fEFf@E_-n_`)yKd*1u{W&8hp)L-{} z`)3cIz51P7rd<1tUrv8J5Z#mb(<3|I-`{)%;ct2MpUUs~c~38&Z{jI#(dTC-{4{>w z#q$OprmuPKxpIGgdzZSus>SEt68zx9QaLef4T3-zJnmiJC@ zu6^{x&^;%=_N({j{ACZJ5Fh+V`|#ay7KY>pf3S|pf1B*P`Q4oT-n~cZzthBbO)>P^ox=xCHXVh2 zQt#~V9>3)0!!9i+_>d`oq0$@uVeTKk_l=LIZ%f#4a%SjwF2WY zW=l(gm}HE_xV;4W#VVOlIHE%I`D5ooI$|$gTD|h-n&9QZbH-hKQ}8B?t236Zyp`ID z>RWxXyK|{R`Dd;FjnScX6qJtD=qf~DJln{A z{5c+kt)D3jkvha7H0OzEpni zX3vP7KNnBrhzfuE9xX;rT%aNpd1|IrW&}?6KcRe9RJo>~?f3*Es$d^W{NG#ncb$hy zqfV(Z_xnFeJ>txtCsI9oZnAjhNfmwES$O<6(rbFFBh6wc1kc84c<5EdfHB9nKexLg(In#071FzL+C=Mo@wm z^(-rl8>OYh$HR@NZ2Ix|KjdGOug;=M=*PnJg&6qZN0+ZoyQ^%G6J{+J*MXUpFhdxF zRoRG4)DP;hcpRHDd+tI@k4Cw2vv(xxJ|Y(0bc%XM_KeC=3Ba?me!!2Not=|2ZSu72 zS-I{)fgATlDQ$hv+R51yZ}P-1n1csP@jNWQ#>~y0s0P8#NsY@H%0l=e_y!QfllJ_1 zy_`pFw+m#oZXR5J_7Fwam>DYSm>#GYi6`7?b7oA-M(@0_Xh>*oIc0&71`cJ6?}2;E z{A_C+(TrDJEsnWk?L+O^N2#)N543oalSYj|l@tFg-xrnod7h*MkN5=z29WhpRO*;? z$sm*`5yLWRvZj+np?czy(qe`s<05m$aT<&99N1WmeUcuh5v`sW`f!c$I3pphGaex8 zw^M(7HHW;YK6)5uBwCyq?h4c2of-Y%NmgQG3`n$39*pqdO7;vJn><2aqxhq9kDh&U zT>3RJ$;p0tgj*LQU4FW5J0rGX&`Ps-@@_)+Oe@FhM- zpVCvEfi6$%=+xBs+DzxR)FdM!oAH^G!7bqP-BOEbEes7fwY|d#v$EC)MO-_pS$nn4Q_!J7PtS*{DYP=XQG&UA^CRPMa>f?}T{(i=L|Vv;#~mE*q@Y6T!Co1QBcvy#VSv(!Sy}i-GaGxxj!H^T zbIIaQl|BsGrj1Q?ia`dEf-~^zHd2C8c_H2qDJFYqynS@~Bs=WM-tW zVf`IBHaR^hB{@m7A>yKx7XPA4e0}g!Tcm7LFpbSf<0te%z{byDX+skPbENftJHpso_x;4AMO|DHWOS5*=VqaErI6h)(OD9GKnKzP_RaLjNgQ;5^fR$&uUeSnFwy^M ze99SrlH&}%=UZpI0pnx-<8p{ZKIe*w%9+z9qo*`;O0Q%~K2wPlIOAo`^RxP%!tog2 zI3E4%6*kWJl2w`-Ex%&iDekKNzkfut#nBb@KOMe)^YNjRo+*#~wf{Fm>qoYX8nnwE z>WoMBP5t%xH5Cn_OJdKgdGudT4RyvXTguO>ptFg!Mm;{`MV+oD}I6lL%9mmDRHFhr?kKpfO9AohJBpmZ_+=gR0j>mAU$FUX1 zTR6VP@iUGp9v=ataX3@jVkTQpYdcfg&UCh#+QyW0k}=zkapq1q24bo@R!lrwcu26~ zV#ZrBBP~pbyXKAL9ebd2wjKFCqo@d$=Jn-v@G~Yav4DXpHW)U5ufwHvlpL1QE z-Xj_3da_1Es}TK(&bVT?Xfer+M#VQKFggX3?DA<|7PKYq_m+4TuXELeexwmyG}qL- zdshBG&EQ{V$wv>>4VQg%+3^*T*u7 z*b$cOMWNOWA1O*L))HMWBx{T%J295%IH4Z0{~^~;s2+tZZQ1d#M8^w@F3?l5M6bw7 zgsC+~{Ff^K*Igd5l0tq_wN1=_)IOf<)Ju-Lm(Eu8(3#J$!qxXc^Bzt;K1Mt1m~Pj9 zoBG|-t!IzRc?Xe-fmbHXY1XG~h|^9B&NtrAacx{DW98@jq0W8c?rjyHE+2M&v zfHR)z+)osLcBq^!@S86X^A|!F^AwXudF|J6^h@#D;i+Exb{uDMyq@m06UTb(Thi3= zB=9ZQ@hAQcN0{L_1j_iF^R}Gpc6{{s)2&)HxnRlA8|uAN*k;wRXc^8m-dt<`qa8;$ zd7tHZ?RL&j-j9yP(ob0Q-$AWYaL5efcxLK@fm^+D$ zTc5s>qU{#Vx92JgYcVzzdF`$*|L^#}DGzp|OlolSd&XyOxH=Y0gO=;PR{QDb6@;a}58;*52-p64*hc*Gn6dXl3M4CSXwkr18F*xSn z*oNacj*HeSJq=idqY}r+4PN_U90zfGeIo&{wp?v(H3# zmk%tbhW4r0-1+$34-CEN+N`U-9{um3M`qvH;844lhyIRL3@yfe&vgvzIDgtq+3Wk; zX=D8WeCJF5_^;OVVg7!RwY>VDjz12)1vi$7;?~2D$CEM|NK!A zUsh`jij4Q9cw#)GJnK3TQ6krdK|fuk$2aMGjB5}grzl4glzhjC&l zW&)QwVo9d)kSeCa`B?Sb9@irpNkgHH88?E4>X>H*>h*kpCK2x`k9#dIXi3O43Am^;F0r1 z=bW+;-d7LPr_Id9^3OT7gcs99+Det1&n{;28j0FR71%LY7 zX%lD6Q+8PN;!2)bj&T!b&Jjy{RhrVLVu|n6*)t3Sbv`_QKmTsO&fi9QoVGw;-%cnW zdPdEjCFj7!b@bnaN2gtW{@d_a!#p_~nKyeTqH-49@O=K8_+qB0DS8o~*}{ps=1KFb zY$Cr<&t^`WrIKmYVmEt6HWpSRRlaNx<#KNQOq-KEc^anJJ;Uct%)|0>w*hUH9nU8< zdxlyEJYw1`tYOcEWrkR%JkMuadw6H;(i1l=Cujb=X}-ve@Xi&fXUWe^kP$w8cCNUN zab=0|vU3CD98`F5y@-rTl`FkPm5jv_@N87$fs%(bYPKvt6%OBHX3Q{&wCovjHMYsZ zOsv&1%nU-CDb`Z!#)fgVxMyOHSip|i5f7H?NCxoY)*yQ5ztr-&yLU-ph zka7G%#tgbg^aBMC`ezc zD%(9~rKelxdEHS@2mgnUr7BI*ERl-?)ftNw0ey3<*x9q@&7XGn^<}xdSvG+Dg~qG=lYUBZ)w=NQM--s;z@wa3hGI>`SO1(5butu1Z(~j%WQT=PMkN-!%RhPiv=2}m>xm9POu-AlZk*vKFaKJ z6yy91MebI~#?Arx5vLBDglX6+;*Ld~pySOvby2PQ<*+EzvZu@x1INlArj_JJ%mKkg zlx+3X{{!UT{{LH@`ywPu7&p?F$XcDe{9p3;D<*G>+LtrpmL5~*ssNhvq==PG z@*~nB$AQ&Xwd2PVFBVHFdt55~jJU=BuU=Ub7s|oV_*Aus#6oC!=fbrqHsB1j0)LZN zG+KqZ2-R7h{yf?Ip<$)1T)0~6H@9u$rj7Z$BAOa}I!8tHjEcbA8hBJX)mW%XC|c{> zsoBmBrh%M)bIwbk?2mXl_d%7K>)fKmwdL1H%6j3plPwPB667W-21Y}SRz|J)5eBt{ zzhzqP?dL8-Yvenpr1N%5;m>+)XovTvj&RiN%^15 zPX0IQoOxl6-|un8@oO6|$Y0V^j?cqMv~nc(TR7tza$KAdsQH|v1PePZF&$;4Ct@}X zI~&F9SJG%S7+ln+R$HhUGAuKRi?@>FGcX0CXMMy{4QDL05>>{YW%f5}v@;Ok=WyvY5wDD=_*d#mH8Z^WjG}sz~Kdd2El91bzri6_+je6txAb7iMdu#4t27qbk1r?;!HIGJ zh>}PZ3x7J}f$`@w+isMuju>EP9M|JGfg=xxDA#{avTbqPk7E~(`8b}#aS*@J7?G`x zUBHPr+U3~xsA;zSFj4$1j_aq`_IUhIM+W}hjU#2cZ5QIW3`ZUgxh@nH-SrPy#IM-V zfX3XvPW$Q|#=)HW%X*kk)cZM{c^k!#iuQE6%F3Q4iWLRx`lv_dK7IPhsTZepAltW( zGa=&;z5R&@lMovl=JXQ7v{2e{8%03LNe^r%z0=Nj+5HGd;3)l_#)gbJl1g;uVWlsfu z2V4s5Hx%~3{lEjjYocKfya(8@jb*(G><0V>m&L_X0?XPC>;^oN0DEBMaM%M&flGlM5@8Sg40r%om;`%Zy%Df)YgwCt-GIH4VGmpd zoC@qX686BCfg6CWM!_B!2|NMJ05)uAS&sm_0jq$CK+kB{0|x?^0=>Wuz^y5;2mS^; z0c<=5_7@_ZV_^@h%78uai)&yHy!ATR13lTW2TlSW0M45Rd*Ga#VBa2X#VptZ(`UmT z_|P2K1OEap1zwBSm~H|t$G+*qz=L;J*_FVECD_y1!LnWgMgkArQ)Q_am*=K@5AVi4RbZDru)i4f1~>?~v=sKhSnL5^4EzhY2KYGkf$jvRVZY~5;1TTK ztOhnaTxEMMv8s8wafFpvc?GwQ3g0Y{nBPLoys_kyTOY2wLiNNU4 zYI`d1NP}v7De&t?um{d-T5TT$wr*B!p8`GtY}yIs(Y)He0{9m&8CZ(Fp)-K@V{hmR z;EOG*?M=Yp*c*Bn*spc9eHys>f@(YLQp@@W7ztd|w%Sey&cXiBT;Ne)Au#pAYP$qj z4lDy!V$WzL@G$m>hJ{;JF!qK<0-whI&~#vB$7*{4a6k5mt^p=tpXg5DGVB#S2CR?$ zniihL9|U@Ui?DYz8YuRVW&%54Z)iSn4X_A!5B7>14mHo^YUB47!y6xgf}?1A?It*(|8)))4`$-rpfE5J-(|47&amjR1_ z{|1%R31HJ*YFy{U(P>kdM1B?c?>JNKh6fhrnJ+KJ41Xv1u z0eB4f7SOsJ*B{UW3>pA?V0U09Fb0?p91ko4<^xNC>ww3A?*pwXkZzy{*mNN5fsw#W zU_LM(xCK}QJPs@cMqCAZ;0&PE1J^Im1KbXb27U+31fDkt_P|lVBH(SnQsC>rW582D z3)}eH42C^09vBV08JG!t5||Hs7gz*rHw5;;hk(a`Wk9PJ=7xsC9(Vv44g3d~2^<&= zd*BDaB4Cdg*aL3?9s@oDv?46)W1t6U1EYbXhru4W3YZVv11tjm3M>U)5(|6aXrNfx z_%EOb_$DwKcp8`q><|ZgU?Q*xmX!5+96m=D|oECSwlHSB>qfX9Ge1Fe2&H%7o7*asL5yaAXATn5YsZUYtp zzXg^8n8v}db zXkavO9xxO51u!4jAQkq&+kmCOKY+)89n)anA9g?wa1}5b_!lq}7?%!v;6`AP;DM#U zzGGnzyb)*(K)wJyz)l&k2cEbV_P`G(z#jNcChUPzC&3=LY8vc;m2+V~(6VODhduBJ zFdEn;5B9)2fce0#x4<6w8n6`j`~uhmBNoE`DqMF!tlY6O7Qr5P(XFrt9s}kBciawp z;Fov79+D1MgoBd*Fc;um|4q0PKMmu7o}CmsPL_c77Q4z%Hv{ zKN$J*DC~isJOO)Pr?s#L)>{XAV2@(h17BMYd*H4Oum{e49`-{l>!}xE4_x>P?18hl z!yb6YYp@62`8w=@F{Q8v#=Z%A;B{}oeyC+V0Q3O6z72ceN?;~%&;Dv#?8x8oPPM%b z*y-JBdmnJn2i5j*;H@83+ab}Gwe|?!nE*UdR&B=tOFyl)vw#&0_z&*8zz?c$-vth_ao+}BTCc_~1ZD))*d@SW^=s@hV0CDXeHQp*qZ+$IEZU!D zSO*K7*u2Kh1U_(Hjhzo{(W=HS0J_zi-tj0bC+`PQTZkho7{u=uVVBrHbb}}&dLD&Pwt%N;r$V0FPzFi1= zV6#VH51a{XIvn})XpJ2Kj0L6uJx|owbAUHIQ)90Lwp?3dZviH3sIdegrDuO2mbyV?13j=hduDCH((FEbT{mQXWxQ7uwp;#fuRRrpJZ9zzYBX{`ww6b zyzmp)1N(gjd!Y3t?12}23wvPnPp}8xcN+Fr!yXs`y!CI`13$O0MhG}12y424TY|mz z7T~}TuYDMJ2zVO!Nqw)~Vg#Ot8hY&r;CGF^b_y`M3G9JOn!_F#+!FS{2Is>bcztWw z1CuX+eKPLPZD9{A2c`fs+rb{V9Jmr#3ETp_;X>F0R{~E1kF@vNZAV&G!wz1%KX3?e z9B@v!*IoepzN^=M6nJYlue}5K!R222Q(%K$SYrvC3~W0J?O_D$fyI4b58OQ%_P}{V zVGr~q!X9{e66}Euu7o*qw=VOiLqd-pv?13GwhdprR zMA!pA0k%!Sbv_C9K+j~@1NUUX9@rxr_Q0qqum?7s3VYxW(_jyL@+R1ifxnrs2Yxo& zYfk_M&GFicfjxn1fJ=Zofu9490z2RAwX1;-0z0Hy*5ANE!2WY#4=kMrd!P+m1Du)% zd!XkQ*aLHKg*~wSZLm*6KkyE(9SwXu-)m0@3y3pg3L6!_&6UV8)Z)YD%30PuCJH9P_Ai#2Zz$KpC# z=e4^5|H9g~MBsd^U7HFVj`e6ufzz;_YyCIBUxR$z1AE}xrLYIa?u9+@v$tRmYK!G0Xhs~q;g%rCHp4>;;euRQ~J@++^s0{G!Eue}Ml^ElSx0iXNc zYo7vE{fKpP9wx_UU3T74e&AG9N?y(aoqr4{T0^@aKmr7Zh*g6=r47# z?MUFA-EBJ^c=mFP=K&k`uogDcz`3`;9@ujs?17Ih zf<5rn#jppCxDEEek+;JhIOk5-PeMQVF4zO_xEuDsT}xmOyx<<#1J?q#0PTBW5Bz!= z?12MTzj z1)c_e4Q!DE`zKLvfengmdmON4E$Xe{*P-45Pd#VbrNEyz*!D5tOV49mcnWZnZHEJg zzi8WWK=BDvVAWfcYSmlNqF(!^4H~YjhdvDW4me7iU~H=${%GDJp?TY@&uel^!+dM# zg;!nHH@uTD74~sBrgp}dnIQNPwy5$}>n>IHe8I&uZ&45w+blF_4q{Ng7lWP-{We2i zp!GH2-+}&vp?|COo!}qniucJOz1n~9=6WJP2T(_GbnK4zwE?vrG*a7FgHEeM?*PB| zKwo9puh8~`pr5Hjp8$QzWq2o?+kTofm+4y!eSRJK8t8Y|q3?vgst)}q^rxYVeDIzB zCp!Jr(6753@6mJX^L^>-5QOwW?}%{PKDdL<-$BsxuE6`(3_U^X6QDoS17n_U|3R~L z{EMOg3H=pAe^Kjepx@gQ?-w-ux6%H0LcgmQ-Xmz(U$5!8mx(mz$Fe=+pm`c&C38ulBs{Tk@E z_pP$;H1x$<-wFL|=mF0kddJ8rd!=E&T-#SeUsZ?RAq3Ah{i^JVhW!L>KM49T=$+iU z%6?hDCqR#@LthL%0s2t4{UYgJ+OL704INFGul@y1)ba0x{sQ#QZavdye-!!_=oh;6 zu|B;T`bOyc+x=&vW z{U6wGLprn`{Bnp0(E-#N=qoV?bd^zmqICV)3H=4k4IM*RZ6EZ7PTx`JHx0&EJ<3_@ z!A}G`{;Q$?gt?*T8oBkNMvmSg6!+Y#tL$NJ|F=o^GJS)fKLov{k^ZJS{S%$KYCo1-CNw;oO_rE)3u>YhX@mg zFt27-*)c#P%#{svTBkxgJf+IcLJ%D$=tiwCg&sDwO1+rRi6=;14B}ijK%WQw660Ji z)aQBt`rK(%_8!Ck>)QVb=q;zCted*x4=!pd0to*Naek}wYQI-|pm&4*6ZC2k*hya^ z^5NGGI*w$7c?)w|!;Lf!lW7z_WR=rBR$THgZw zBj|zJw8PM2*5G}xhJAsyKMj2o^pl4Ez1CacTFApYTtnRF5M*mT0{XR2RoU@wJvdsI zLkjdep2quG4gGSh&w>76QI-9$5&r|)|4QgV&s5nv4E`U)+3;oLx0WCOSGN>efB!kV|N(`FOmi9fz2G~ zhc=>3bL--I>g}rog$VQgmcZ9a3H0umE4|l9!(BQJWzbhb57aJHLf`yK;A<_c37*kj zt+Jmo+NH;IyA%n1`BuC~*oc3tjz1lG=WTc=u2Bc}>FXdD`l0Prc0o%xaIPhh2a8*3 zACDqT#Jg2?o)O2*Qulz{0lfgarumlXyq6aSl)FbI63=@h8li8~UwU&xd{|^fQM3o7RhOL>SyUPLn%@9@H}rhtJbd|h0Q$v$ z2F}M5&?}(_%EyN1Vchpj?bn;Q<#mI;8u}6={yTI&CPM!Q`o%^bw9|EMD)h5|;aSYk zKhgS9=p}zw*?kSYr`9(>f9D^p+c5Nh={!CFJ+`{a9_!XcIgOA(EDzFs3Sn|W(KU zPv=!G^cv{P4E-Lh7eb#BRBiv{jw852=S2zhJ|UQ+a@(t_AkU!;dMfluhW+*0z7l$2 zeawlu?Sp)EDGcp$CG;N+{kTqFB=lXOc-Oe0f2{R%=<^%kec^__MC-ZGzp6togg(4s zwf&%Bzf9YgK;H&E&~tMc^u$Kh_Vb4QI&EJG{Uhjs?89(RncO(AeI)c#&@mM2yMG0# z2OC-b&^tG&wig?^dN2}tF7!L0FE?~wAFWXMhd$cSuh!`=f!@ApV7(0b)zAwJ`#ZIL zCG;)OQw`lWE);e?=GdW+F!Tg%9|^r#v%q>f^#0Hz-S%qOL)On+=*e~Hh0rshN4V{8 zlF>{166ka4(959b*P&NJUs;D9hC#g|=vTPoSGOD)e{k1yuunVv@wGRK0(04!&l)vfF>&l;8=pugtrN0pR zd(Z=oTa`fH2fdrSeoyvYKV{GlLQi(9fy;ejNH`Zav$l7efD~j`&NU*FX<={?Hqp z7g(=^-ntGw3>B{<^b~jcf=1~26A66`^o53=tMzo~8=((#>#lLbT<8a(XSnsCG1|Tm zdQgjM`zb?zOzS1k^PvaI-!kYAL63IZyZVQf&|iW6uv-uEjlqPqNB^ZI);<~fbvph? z=-JS(HuQL{r$c`bdZ6;nh5i`yKPnhh2pJPaS$B^i9wMmGZK;>Hkz3KVY_9C}^ zkeax|saa*vbD#$-f9Ol0&o%5-110RkF2-6L=z;Pt5_$#ntK9bL@lLgW(CdZaca+?E zP>e3$Tel7Gs^`{bg7W6>(pRh}C|A8Lp{u2p(HuOOC zFCF^r&;zAE7y7a~^g`&X>(EP}uZ13{ew0B!0zF{)L$8D$>n@+$W%0=J3-jRmZ;jv7 za_d2F>+*|){wDN*=MVib^g#KW3;h%5f%3Ny`WJQhFM)m%dZ7F*gMOwCy%Ks*o51#A z9kJY@4m}e3h0p`luXO0)(C1tD=y6fsx`$lo3!$eQ`e>cMh0tGw-lLw&KDe76zbJwJ z`USW@8TxfvFN6M1+ram)O6UXI1*>%>LJw3v zxzNu*50rm}(5(vt*PjyT4WI|AKV{IHK%Z))Pj!$*`&J1(4SJyTgCp2Gdo}hh z>?5IXtwT?T-lTot_B|JRyE^nj=v|=?bI0%MKb1gFf}Z2nUGw5)&>w_8($Eui`BXyR zS%9`w|`gvUhH`q0XEQ368c}zHyHY}I)B5uU=DLowf&Hx->>yZ=)XZf zZRkH~JstX+*lTpJq2HzTTn6mPaF1+Yx@%D&9OJ>9Yf!%^)l#Np}%G5 zyR}{keH`{OeQM+zI7pG&@)r;JCcUJQQKES|8-2Y z{j8xsrS&ijEX+;A9t%VNQ0tM2uQc>NT2F^QIHTIGXIx*^I)8JaUpyXrLX7;s zL+gdm@4626Kf}J8zCKH!KX?PiUqeyA`ub0h6Ug%VhyHpNes9r8-{(4gmCzUFpnQz@ zyXyGEx?_%GD)x#R_V;T0Na(*!!=4wn?ph;|4*lQLtL?2u{oA7JUoQ0NHz9tb{JZ+f zA9~(w{3fWOmutNQdhgt7`;4Lgru8!D4Hn`zNsaSsqR+1q`d^Ex?I0ulH9CD^XqZ2{ z6?=s0yYu&r`XYeH-$>{S?+k384*fdpk!owif4+`C7rNLx)z_Urvt;zrewoN+Wy!`-yxm8wzzr6KUHm4 z82-P}{`*63g8gZ^M*gWu4p9cKu|7vUZ>&UKkQR}aF3^gw@fW3~O6J06i% z)#OPZ-4N!5O=xosA5l8L5~1(k61YB1h5q!*f$Pgs=#Oo!wr@7ddxkFW4bV?wKi_(H z8iUvBygC5==GS0vl-CShUMHaM-C1paZ`dEx_6;!@aqn(ilZNh_f9?kT@jcjQZ=~-B znLd$+iO_TQ;&+b?`>m?5p^Gpx5T^RAYWrum50TH`NjEagN`!fPf3>~YeI6prI(aIx zEJ_e&^m~DyPs^bH4L#8FQzi7!gVpw3?sNp-rt>-s54KYeVgAt2@6>uE^h1Y{*T%Wd z(0Q2-{gNZq_HBl~K+5zW z^t}UW?Cah4DX}IoMc%5U53#?zYDkT}*ErW*`dqEv*oPJaT}0~SbO#J*3;EC=kFT-gjr2w9^c6whGrY!r#)yB7j=vOo zbYhJ?+tAfyg}7HAgZ?1&u}1tUI(`d-l>3ru>pO^HU1;*t&fv7gFCx{Y$rx z;7@fLk3-*(R$~uw*T>)ix;}@XBeH*djs2?If6!)q4&l(pUt44MGwdU@eH`>znKkxC zcRdV#PWP9xpr6gIvHLVY1Wp|b?xCL-mq2ekv&J4_q(4EYe;xFGvr&f(Jzwklpg(>y z_A(pk|3jz$IP|%5YwSux|5fWDk$B#m7q||FL%(T$js0)q{0{5$i-YdDwZ{I%NZ*e- zeOb_dxeeuK)G@WjOw`dOLchHxV1Iob^cVAM>?otX>8O<<8%K^z-&{ z=xgtM~IR93@^M^hZd#Ae_@rUd9vxGhN zQYRVqaoTp1jD z+iL9ljr?D#ukny5>}kUu?j%Ex(|S1cvpZ@6uGfl#KIt{=u{YBHpiX}l^m6Ep4F4h8 z{}SkXuxC8X$p7Mqo8!~PF#zYqHIJ-81T@sHE-ABTPbdYs{ZsP-RnCB|d+ z*4TF#^<$B)AK}nPyp6s3hHmTlhs$N{q}=_%jY=s6VTD+_q9Jc(p_=+*WavNRT?GRTy`R=+KyUC(;Ol$^^jPTi-T4%3>3XsWdN;fSVTe)B2IzWr5PHJ# z8oO;1SN;W`-$a~%D92OKhy04)fiwJX(f*qb#CmGHOW{Q$|2F9Sy8?RV-!*msymqe9 zU!AS{-7}!CY>D5zGU6Ym>(>hC+oAtx=*P9b33`4jyraO-ed`hqLNA5>v~m8A`_3Qw z&@lYAi(x-a`)@i3@2-K~$Tr7fyzL1>TAAg%N+bj(-O9AMlQhZHE4` z)>lBk4e!SI!_a?`x(8|A1U&`s$VhUhPxKWB$t21;ei&iqU+lHJyU#I8o}$!GL%$t5 zh6H?V%oLyAVleu<&@mC*m{j`u&f;}`de0$&-IAk5?|y!Nl|JP0}|GeP($ zgWjhHe)q|p2g1i_nGLcYoJE)^J-zmIhK~$gPHmCFYoQ0a=kUy)bxp3lTvFP&=TP4a5614F5k! zdk^$ap%=w@?Q8J2whu~`=@XRjQH?MkBTS%qs1DJ1hs$uUeV$R4jdfWLg5F^Se&5PS z!@K$%CP05L*=sK}^jxhkhJGpDJ+sTucW8YL^wQB@yMdtxX?-X3^(pwxK|^1t^`p@1 zr+V!p?z$BGfv(Hd(6^_1?M{aMMcTeY4AzO_Hw*(kw+s?G-i56cjXxRJgu*RKId9*z;*IFp??AWPekJ@}AXJ(qp(6diwuVQ9;4z&l)w`|Wytza0equ1Q||0mJ`&+W!RTr?b2P=cyJ$Z;}(Z ztyu#-9q$Y>_L>9_(&^g?eLmhLbi0v$SNTK#c)HhKZRo4CeKqu?87Lp4e)rY&Tf7r& zBHlUlfpPu^eCH3nc`n|8V?5Vgs-Np7KyS0qYwtGfU(@!Bp_eR%eULlJu7&<-2v zSMxBCWghH9n6ihw_Dn%IX$+dGuY=>zJ3j2S&o_KD*Y!ZWgDtEO?Tk?lLAoA?L$7)S z*O_5|THE7o=+oOMK<|7Azp?1nM?4UGf5?jZcZUW~5dl32cN*bx597UU?sN=a z5qx(@upE#OVZzWs&-@6#9T|!*PJI&j)lhczEfJUw(=`Zah5 z*9Y!21|87XMK$!0Z*c!I^hsLpkcj6w=zkdcFIpc2{o-%E_83D?*7^kKqoD`7E*C>z z1AU@l?|Z+<8t7j_k8$gZrF&ThJE41_8*^5ooVv?uCF}JuglTph?}c;w2=a}sSxLAD zK+iICwOL5yu?PD7(1VRK^vXQ;K#zt#=LfG{<-RV&Gs!Q$HaZJohMz*8*C?m8x}26k zKlFNi~5Mm<}kug!4i zU;OU1A2jk{nXboi(62t@waeV;3;IykgDmJ?=%2asD7Z|w9ZR5Zufp$-8vZ+J|LdUd z_To2H4gbFVr2C+^v+>++=*2qzeYv3* zX#e5RPeQ-ms2}5W{fL9!wKLu|XXsyOJq!8|T@k-=eq;6dErH&#JFc$=NPu&{4SreA zU#x?^Jp#YIVx&(k7!v8<2fcA`{C105ckRbI4!tXMOoRCRtL50T{R|n6F$?H;9QNt1 zF_m!W*FkUZ*40pfw2y^j*+n-MVW%|8eNYpm%fYlYRa}QqYHozR;})`Sx>#LyzfW2VCzT2R#M) z#cuoYKL1(JM?nuXuD=9&Rvr2}=!>B5b^CYC(eH!a0q^R>G^a0rTL+=GWQ2Q8y z4on*Ki`@2V`bd^vIP?_gxQu-MgA#TA$3efX4m}I{M(DNGPY+x!f&LEkkKOHq=tHO} zNK1s-fG~Mi+V)uYH73F&%F9fKIfyXp2iW!*|1fGQR)#r^Fbna%QezH4^qF3em!mx2 zuvA=6cz0=__BIlF_)t6G`p$Id^@r77UgBJGp|6K-`Je9}>RiM%{V2lR9bbE!D}3yL zUIl%s+lM%h8)UPJ5dZu9F9-gY1OLl`|K-5{a^Tz?*z%s@<`6~KRD6CFHy?bOE3p3N z_on=AZBc(TxDlKe3!xK|DhYm4kAaXCrnYMiCQ;8N?i79_UtpCJ-}-ImA3-0dY04n7EC& zpIA<;Af6$H?qvMLF2pEe0x^S_L(C%<5LXk6iQ9<#iRHu!;u&HnZ{Tf+U5HV{1Y!m; zhnPn!Ag(4B6Soof6U&Je#52Uu-8_F{7h)7KftW$eA?6Vah^vXk#BId=#ByQ<@eDC^ z5923xAx04sh#ABjVji)8xSCi@+(z6_EGJeF&k#dP89%WLF^ZT#%pm3v^N0n+)x=`r zHsXF_IkAFxh8X&$B|mM5U5HV{1Y!m;hnPn!Ag(4B6Soof6U&Je#52Uuy^NpOg&0Ll zAZ8GAhOGG4vhAPwYaB zA|?O1y@6J#iv2n>d{~o0v;<(zlS`ZzJAGyob1q z_yF-C;%egK#HWaBiH`qbe&0ykOx#L*jp&5m&F_2tct`ig{S5a$@i4KB_&M<#Vg>P6 z;@?D@SU**jUt^- z#L#q}|NkNSr`u_TqF1QD;)#jGWa4OII&nPl2BN=T|L;>6ZWeJKaUt;z;!@)M#6sd4 z;#%T*;>*O>iT?3A-}g~}m-r#EjQAPxE8=nDkHlYyjz53=llou8e~2}X-Tf+mgNPx- z2E-=BmPCL57m)8j>`3h97k+qb>_AVqxa>*OCeHHoj_BE^XYU?S-T9ZNPeh;I5xsjy z_6gKgi_7w_q#C%B+Q?nE92!wEj!$lrUp@-N@%1-=jYFZ(H8zKaXIc;}f& z=d>#oFWs{zPSFWstvQxFTARpGdw}YemR+w86jFBO~Hn z&_VI?-D=<$k$>+J#mjf5fxnl07rFTc^K1AnKH|5CgrC9kWd!Pc1pgHIP6L!5`ED@q z>&cHAta$lOFz{Q*cORyB`7SW)AR=z(5;Kkku;b+KV74K*C<0YSZm*W3c?yVM>Ko#LXUa5Gwh8vpLgCY0}Zdbf~ z-xB!q$d8aeOoR2FAD)Qy`DPH8S_=tCJi15G2 z%}n_HG4j`u|6TqF6y7UGek%FUhm;@rUL^RLkFT}m+no$QuMfV9&vyah z75Odvd@L7@qy3bj@h%?n&3h~VoFm7`HGkC*Z|+2{N-}f z4c=weKt&*;t1aI|bi&Wchn1f~rYDyC?S+b$@4$d|E%|#NQ9MuEx`q4`k1Afi^8(>T zGKBwT&naHMO9K4k2qL1`JXmdE2(GBVROF@p4Zm zJWVIxjt!NE>73qK`T1*r3NQDVBK#tJtu37e^pg>q#Z~H93lx?^1xDdg$(oeDKat{2JzS zOY)D;QoPe{UrN5kO^TPlO$R?c$}1aD_-uq1OEv5TMjDz1NzwzuJY$s z`kzVu8HV5fmI^QTqCwkCzPBh)eB>T9;12RH9Z8Iq6 z99O*P*NV?E^2MS8;3M}00e>QY$4SMrS-1Xl!vC!JTcs8111@J#A5M7{&+d!Wocu+i z!r&wKtN<@0-|-g}{spOGUjX@be=GiJ^8Lvd{-gLttmkp$pXB+*F?>4tgY-X_{6z9Y zepP-VSbuIJKkGNeb2))^3;FQh6)*P`!Pi~ncQBnt>Hk6Uj|Hjo{fYczS&JyKTX@BcIbs zg?Ap;JCW~ozT$_lJ!yeQT;YFanBuRM-mwqy62-qmemVKe=;y%;8J>P3!Pl10!vgSQ z0`Q{WQJWtTO>O*igs+G3fwq6C^e~wcY74&r;e%=!m$+T}Irq7Kx#Z6sHz)*;UivxX z73=9I(Qh2!Rmmf>{l*i1!_YvGb?!LKy9nP3=5bzXA+0%H7xe9^}$Z*^Sa0Y-xB?q{7Z0w;Ny}1TUI8+_c*Bh z3?@H|{AlsOh|gFB)?)JO`>A%uY5$jy|Mqhg(8D)L<#}~u_`?kUEjv*2$$vxsB=hZI^1qY+@Q6xC1o#jYaqkF zeoTbMK15|^C6Ld1MfvArt(8vxuJMYOzmpBSN#tkyo!5NHOV`GK_c{LMW+1$Oj`y#J z$v^Rt3OEF3K@hZWgsHr`$V&m-XjTmH*=y{xXJN@w`gE7{3#rf#jE=6&0Tm z@_&pYNuFO^a7_SyI{idGr7}RiLlAZgz>D;xc+C2+gyGj8SLqqVI98MYb#umdJp;jDasF*k6DMwKXXi2<9?~Y`ilJ2 zYt(fr-@gIvXY#KWsdUPBB7(QcU-*gg@3b4unyB)^tJ9@tE}OG1BHyr!DtG64zl{7B z(JK9aGClpsAAeW*NhW^?;|!ucT=}I6A4fip;WPO>zKnbd`A>(a@bcX|(5{y}1G!)} z!^eE5;?1FU2l>Olt9+2}T!VH$`E@U-@JAI`Pmxa+1EKi*DE~)0DS3Wz!5)U+kgM`v zz9Sv_d*mnFrqa*bl~wM9PgCiU?_x#xZ^&QDfwvl_=Qr}(d#U_qGl7@MsQhf!M)`jW z<2&NhnEbtSReEw2ZFL~OhWDMz$ae=X>VH0;yA#RxVfefc6|su^5b`nX*sdf$ocx1q zALJfMXk*EHs#L(gRkEyX@|ktnST9^ zM27GCpo*}Vey$}S`;AJEd}jo->EyE~sqh@Wv=)+IouSg{jGx>?{={1A#g9=eg`v^7rrpb;eP5lTT+mbAJOjC43H^M~ zSXIEcs1=frgVs)cMMHyMlied`s-&DqW=N zIl6`Nvzy^B+n~@R&Wy;1BKG&3{>FC7@Ue555~$S?drr89;8 z7m#27l;YndznuK0jmp1#j})|jk9`g6|IVFqfd6)dMm8xFducEg;BEMHm9N;5=djR-3`SUmc>D&i@BER)L8QgN7 zU#caqIQReO;eIRf|B821gl#FdCI2id!gb_3kpb#TbXC_~6eGEl{Hnu>=t+J#`OGkt@E4iS z50QVNLIpg=@aw?Kbo%wHUy|V&$OZf8=X~BrMpNs9=MLe=@_SzUnBlKw|9m9Fe@Ff^ zzxwtY`JRuc^vid+!6pdpgDA%n^%TF9=hc$@ZEvXZ8mPc(M?RYUlVJ?sRkkzDtp(Sa z?O0ES|BCIEQ!f3;U;dLy_;WZ<@oCgarDxZNDm^iZwuUkMrMyqwNPaZ=^7`t!9#1|~ z^8Dh0xePy>9SwFjt$gwuGSvwU;d$LpKHM+;Pmu4&0Y9f5d!GE^7?pl!9I}LbgTpE@ zPQBVo-plJ{I@9_Acv0@re(m;`4F4JXGnX=*CuR8N);PcX|C!;Nf1v_8_xFD!@5&hd z*^KS#96m2(l5a=;>Qv?DHS#^ke-f(l{~_{2B+oA{NM(5YBjslpwMpb(U^~#6{2cPT zZdBp3$mfF>_ss~u^Sztlzhb}f5{AE@;iLV+uVna1Jyg9Nt4_muhWzqx%zS&1d^7nn zSj>0Qe<}H4><>Hn{2}>YA69;jGyHM#r#aCfe{%ua&yr^#7t}jnT^GHQR04yPJFAi8 zT><%Ldxn4XZ51$rd^q`!zE!+a53d9-@-x#fe+DxAB(_Th^b6*_ zlhdEpjpSF01snL>&+s$Izsi18FY=4Y59WlxbGToM&kFLduzhpdlgGe|>!q|~s0_D7 z{*UzuHi*%BaNV+SID1?RoAsxXCpql$bZ#P)gSrpF7OA) zN3h=#E<=mot5)S0!hZfD@+Zm9Wjo{C*Zz<^1G%7nnDTS0U;n=&`Jrsjo%ZB%@FIWm zc|Yn;U;Slxmt+3f0~esUFN8Ny=gZ+>E1CX_2CEx_{H+++WRTy%aUth^dOi7HIf1sG z*Vi=iW7rP#VZ4jT*Ls#_`{mStq`R$*n@Zk)9hI|#rE1Z7C_q<;p zy;YsiOvYQUwJMjX&6NZB+n>;ylaH=Z{@G06_pw#@FTPNGC&v3e%h${Mth27EBg5Y@ zN5%WIGP5oxKb_+zPI>in;$_3xi`T_4@&`{T2hRNX2=d`vfabJI<0a3NbioXU|H@W= zGN{c5FY5C#_MhjFzm4Jd999H}X{`ImueVeJC-b}>B_GfGP7eL7CI2VS*J;l;OP+yT z@Fv4Qdy#Vd47HERhjU)WsaIc;pA@Ou4QC$nXY!3oRXSgxA20cKUPZ9mWVJ-sP+X^R z7pr(@GkkmUtB5qHkLA*x{CM&= ze4&Ut$$#Jx={)x{iQz+Rr8)hso5@$4QRh`o)7#1K;W#S0eb!R)PcWY^V)#PIpBry6 zczM5Idw7;XHq*}$J|FE@*=Lo4_nhm-O6a2U{|_z%_>%edA^pr13u*9i#-+>2Z|8&Q z1p54z{7&}M=9B-O{7al)aMsD#;6?f^zj>%;9A}>8*AKaf{2v@wFQNaQ!grDzGes+Z`J`$g++y#71IJL3SYCC@~-U>63` zMg6&aqPifu(to!A;V)vp^t$s@IsQstS25n1->UQ7K|YcEX|doF9}YuXtzzd zXOb^Fq0+b&Feiv{<8N~gtsx?V)DUZD&8xY z53iE%{hB&oPFq_0$*<|B+A(KeKpFW5Mk@y!>HmB34LvI174-ir`GX%T!m0mNngSz)5y0Z|8I^PCM37!~ic^fL&&xQ}FVK01Yb zEW>x?xTurP(d6IbL|+KcYXbS+EJw$G7WuzRR6u7v=Unnn_E-72m+{_7{y4{(JCT2i z{MK#C&oc6_lE0Mg?Nsu+$iLlL`Hv<45&3_Aq==48|L5fIVE6=v|AqW4E+E~?@Luu- z?8iFK(am^$y|-7@pP%Wc9r<@2Rs4Obc&y9F&*yzDk>UGFo?l!rJODp{?Ze^Al;a_| z?~2cL^naNBTO?b4rjy_GraGa;sLRQk$;;Fb3Vh*=lIfNkE!cO{vI;4#~J?M z>&m|q{sFcpNsCoJu-UcN%kXsSg4gJ0&Q#_92Il{M^7(vV>P!9z`G?iKhpna3?IVrfk^VlCC@J|ILq)myQzA34YhiBa1iDDc#MiL zh1XFF$-5lz&r2Epg@wwGlbA1RBd4E`OFohVGtR!7eDXuLtAzZ-^eiXe zf!CK)?vIoIew_-)?uGR{`R|S^-nkxMC;t-1f1LZyd*q*)rRskL>q8lMai8+=JsN24 zFj!dBq^(V^Cv+F3L%DQQpz15REoIX9S8>)x!t?H+mpLJ z?soZSO!|6fdS>Ugr+et`+1rg3A%sK|r8pE7(GZFxDprhOC_}1H5(_mT5R_!< zMWrlJLP!O?{N8)NH`Co7RjEwXZGYeE?|bik@BjDp%r*AshW~V~*XzkS!sj;Gz-=7A zK=?=h+t$Uj7vzNBb+_4-zWW8VuO$4#m)rQWDYy3#KFNJeNj|S9{A*X(Kz%1L?tOyr z7kKcd?}`TeF9~n)T*dR<=Lo;)NV8{dBZIpM-}0yt>~mdTCH#xA0l3WwzD@W#7F-_3 zo+A7K?rXkC{(nMv(KrW||J+^t_eI75x3^)ba{*t%)P?+4#%&5huPuZlh2g!hj;++h^aqVA^euJ z3~&_Xd^O>pV%_@;d6IBAQp<--eZ2Uu{dp6D3>-B`+L;H6> zx`6P5jL%cVwVUv%!0^O`?ubGu9chZ~vT zI>6U(O!aab$6xVCeO-4EejOFdpZy2-5q>q}q3h*g!avgZ-ojIa51uxv=aZl32|uy% z9N~ylO)sB++y?ID_}37AA@|F!#}f(v%s<({OwBGiGvSLT9H}>cY`23?627x>&UPo@5;v}D#Erk>_?zBg za(kY5?j`(#^dsLNJxKV|Jb$>J;~yn_8|}*F`F+4eZks4KkMlp|_`#o<03IZslXwpH zAMY}IzTil^aoC&8PM+iU6^}4>gJTH)pX&|J@s#K53I9xk|FwkQ#^)pM*JlvEv5`+V z68__%@$+`#pCWu6rdBLhwwL@V+;DGp$mq9pUk<{%K?sGBL8mxe@gh1 z8w?NKFZd+jYM+hotKY%#Cvc;%mqflq`28IdB>!8M;6B0+GH*gn`uR5DTN?a4MfeSr z!w!!B5#ej;(C;PuWy0^HeXbJz>eEcW?|;Ssw@|;oO87S(Gx!0HKZWqG%$PzP{uaW| z{j$OR+&KcN56~WN;rJ)E8$Zty|K|z+FXjb4#=r~V^Rg(1oz6rnXvcZn?G&9un-$ny}dubWUHBS0^9S+)hO^4_&M#UnAEv~j(S={LqXb*<{ zfp&ty!m>5W78?U^bO(fh+vV6s3G;>}i2J<~!ey@=_oI{qf;4N}_#zn3ErLPrBnmb< zPHW4hgWiBNI(e^E_Of(q)PjbB)-ZSKSVA5R6I)D?fvX(tg{ZAmf;8SQA_Adef3IvU z3P2b(AUb4u)HkL_-6W2dqHb*c)?(aR0znEq$m2nlmj(z1?WmQdAm5GKBG{sg%ApE2 zU$!=Q7_}g50>M)?$=)V5#L&D%eaa6|M4YP%PajPugBC^~v z6g7oq7K(~}5O{*g*C50eF2+$i$%-O~L0QL-K~cLMLS69B1$b63&Vzp3A7q*6*SOdj z_ov__OYmiJ&rvrUmJk$%2~Fz+qG&dYXgMx>eHB9>9k?G>CCiXrJm@7^7uJ}`(tu_2 z%*C@8&TW6^G~EA+Asn(?1r#n1y=Hmb?nhXFSVg;+n}FN89)Y`g$ULQinIfYcLbQeu z4n*C0J6ISdOL}vElqA}ad;Q+ZdL4wu25+3{jkA=k9Lp0c5mCy*d#UiGd`ee17~R8A zy@@~oMyiaancUF91*F<4(=3I(w3Y-1tsF%5=e;t9;PUROwez?bCXk@sNP2L7$fTDf zMVT8+=9kez68n&J$+~J|oYC$Tu%r}Z;W+&$SE_}WFamTDw?&IVK1^b9rWULymyQ^} zUk5q7xKI!T3;ULvgS?l4VY2E&lvNHAp%GpLCKbDrAVomVOQI%VgQW}A$~|S@QEEqQ z%RGmUrciUOEUiq%vfw}EN~u1IS<)=}QJMEvus#?-)?zoXWYFFx{1nhbmLq|QOd)2V z#PWVO4%8ltL6k!P1;P=ViU^|9kQm@LY#4G}@fHM}X9$H@DMMmV=22Pf(Z#Gcp_ZiM01J(D}9!|B;AVHjwBl+;;dAtF#4DhszWRjnF`sF zd9&9>8-Y*cV)90}j0d|l$*H-87Av4eEDn5umBnnBGs9AkK3DRw<`+dQoeXjpZ4D99 z3X7S+9Ok#;dFW1wi|>@HgIG`^hQXf8JWGOTxvO5K%sSFe9><%u?btrGIoyE%P4%tx zjjWrQ_SMuqm5zetyx5h|6AnkKl{x`^OIv-&ATf>%kfI_Hp7LS38wOOsV3ZA;B+)xw zX=TF{CRieEL#}%UiHM$i-|$Ry}8 z$$_tawp5jTjRgtDh;vPYJ6d8xg&Zf)Y~@ zJSTFxYGzV6ND&ht=!>v;v#w2O0;(${(6K_qrR=3$&*DPYvJ&QFw8+lQ6J61og%Nbr zAJk4H^N@L+B^HPH&}*Skh*PdkC~DT~BvBV7FOqpp2&TEkm@yBc*8py&Cab}GHNmRC zc_@XP%dC!1gs_|?L)fv#ZmYQv>BRpk;*$U@v8_Kc7^R|lgyj+zi>Rn}#4I*FYi2CM z2=+if`^D9bNwYq*(|D!aJ;FM+U=g{~D>rz<7iL~8J04|tTi%HZem<&Ypkrvsd&F;aVi5V9~LppUBj^kQK^wQ8mjU* zrS>LuHa14d0-OrTOoNOLMM!TgY4TOWqZna*C_37xP@zw8v5toRhM}5bbsnNoj`UWO zB`tUR79_}(l5xDYThl$7iBO~v?Ch){Njh698dFKR`V%wkl(YD|IxBogcn z=jJE3%}&nFQ>H2l%|{}}8G%AVVzm{owip4-@rnejBu*Ral?`tZ?YZ6tolF?AtPtS^!N(AqfGDbNriIf&+ z&cu$mi3qnqLDp4WO30y^h;87Ws~Zz-lfXJ&0A`{NI@op7zUd2{lTo1GAgKS|HV>?HG@(xd9F#uy#)&dD>c@{n#|CZ2yR=?)i_?A1vg1> zlKg5&R2~ZvwkB#2qR&<~SRGq07#2$~-A=BTlxZP0m^^coNJjclzY#M=q^U{7=38jA zkf#z9;}IvaWvaW2E2&Fp-4)f>Ec}bUJ0jA?LI4uOG#a*xqS_`W0kv}`G+^mmEbTxj zN|lX!f|m8JbtINK?;fW-CR7BqHECAY&Hw$^C;uh5mECMgSzIiie(dY2bn!;v#_-I zq>DEx+3G3yae{M$mLOil-O&k(g<;W8-H|j>iR#8?i47f!c0FAgWExLo-9l+bBeh39 zDN_=})dVMBtz|iG(aJ6urXnz;Mwud<;rs)+)v7_&v(`ewp$wETB0k`G8B!FmW*re^ zRu{A6HLY4NiE=Nc)I4N|VYXe}DOL3-WMSS?Y4-;;D+L1I1u-Crpe(kwP}XOC)gJSy z7+fthhRr-9Ok%%{vp@@s!mw*FbPFs{_?pDLMsypO=_(_vN5rK06hviVIDW}gT)=Fb zcFUwv99RrDwsrGRTjU&$Kg8-R>{O$77HZ6C^DO`xd80`O7LOmB=XJVwl*eaa?gsUn6S(TP;mb zhiN4YI$%~IPZ>eRHyP2 z5y8j+9kx0nL-B$I+VgzhOG!p1igwHu{Pr$A={B4rE0F^pCPSIP9X$B)2!U%+>S>k7 zB;0(3+>wOEnmnuNIyrLE*c$5K%^Dn=+08Uc!yLCqZ1jm~B?dcHN5MO9U6rxd6~ekK>Ida;L*Rf@bk znswT;=9(UJ6bd*#wvq&j#xu-8(rd}%3QRV$;9gN;%P4KbSlp8|y!DC@;*%^6F7Xi6 zB?pI5Yt~30xos4xY~`+2Q2H6`sXIB(ZDwK2k}a(sa57kB-OIo|U|1VYIhpKzEJ#(t zp`Lg5igcJH*rD}h)y5h9+-rbQS0uU*N70JTPTJIPRK+TJINAOPC!tanI8n1m<56K^ zt$tHDLMd)RYE<)vdK&0^cCkNmWIdsg=~|(QiXn2)R6R`3Dhn7b3It+1;$?gyK@IML z*ozn}X{?*5%#xaoFzoAO_0{^>ry!9^6{@C=6u+OEAX9jx*Av+qYGqND=IL6bORah3 zS3Q@kl#n1N6K$21GhJPOfhX}1p36fzO-nViR-;6q*7PYI%>p3a$X0L(WS0id7{*Ej zp#=6NsoAm^2;wHaMC%yCEh?gL%#eI>S|hlqL|qastUN=nQg|$P4skeO8Xg50C2sib zFsHWtmlU0=p8a%S_dBQe?2=R|!BJ#|CWFt21&`U|3Z<&9D#w!>1x5AzQ27zdhDr5m zGBi_f96lCTV0!};HO-EL{p1GR9CK(EV_$pFy+dQ~3qc0PHDJPY`Py7>lG(8-pmp~hv)GcsA(taB3@4wucTTL zwK=_Vs>V_E6iZe#w}oL3;l_6#dYU6X4wkrg>L^1sJ*Ys1f~`!uvNYYzm~^b<9#Mq? zWPnCH$)t>nxUbIw-PNmearUdH5c&Y;kdJSat}NEsU<`KEASuBSu^16BU5|+xFt8*Y zdtOmB5u~HB+|X2^6Qqw^z%{;1B46zg+^`Z6MP&}l38A2}H}>X0j3-cH3N!Z1v{$GM zum@^OEOj5#Drvl#0snp!u!1FF{{(VCFNBra=Be%50*io**5fpQasFt+a+HWH*nvM} zN2FucZ2FSm<4FehDn>1Zz;2vQ#Y?_%k~Q+wO$vr?jNSknT$F` z7`9d-AVndHlhuZ`RnGlo|Ed!<+X<2_0Xpzn8jr#7T#M}6dNpc;g<8S`n16N#;h4i}Utu(`P_ij3zP_KV8EM0pV$S2yXDP{(Gh1=*IkkqG! z)lP_ed7MNtkgY*d1`}e{!33HU-3$$sQ1}at_An?@g-pbY{Fd8d8%VroQ|;?+HpAPX z5cTmmQ7{T-FekgGi3NO@X2R``U+4ROU+{C`;3)j#*9AxK9p&r)0{_0I6R>X=dJpnO z^M!*4GoQbg4Zpq)zlW6%zkV6`?_vxZ1RK%#1^n~*EBvCeUpJm-BZaPfgVE>v_lGwD zCb)h6?Yq#y$FFaEgZ2HdeGAfiK`?{n!3zKWUR1w+hYNQ8osM5G#{8dF=KK3o{p#Q2 zZSwCNw9$}zj?dq->R0(*r+l1#bNwmq$^0o9gwNhTs$b>%pYoCUBHHHs6~II$KaYR< zxxIe<6?Xk1w5lKZeQj<;|YFGW4^x!*00X5WAVOU<$J(Y`lI*7 z-fuI)jkdvAi!cm0jtKYP*7>5SX`2OXT>r2lcitMmOm zwSN5o_0Q@2-!!}z1h+Nj`}=JD`q-ZFSZTT39QrqCyaxZ=zWlwn8(%j5o8!Ij*LyJc zxXOHgKklag<9zw~r`Vp;_xI?|aQ?$09DH2vPS@plHSWm}pYQM6eceIh{|7R;^6~k8 z{b$^(&L6)=$2{W2V=I%<^m%@Lyg8r0O9=S>;28<7mCu?=TbfVepWt%-{XM@kuQmFY z@%L3SRz7R=@A%IT&=mgHjX~P-`KLGFGFCp->&SNPmi`@({*C+szWl!&U%@|Lx5r=c n59eJc^3SUxN literal 441688 zcmeFad0bW1_y2!TNz_zu#2Ir4H4PjREfrMsI-rn}Lm6D*A}Es#ic?-x5=08kflLc4 zl?JEMcV=0j8I);IX_#4=f=ll3Re!qWykN5GhIs5rK>#RMV zz4tli-s@uju_J0ZIT_|w+Zb#($S{2AK&Nd8fzh{f|XYToVSOVXkvK+pHs_r9O$n%POQ+_C) zwE)pFkj@LF^UQrQRhGGTq0=#s81m3THG2=C8iu*o&nu$y^nGVK&)j1gxJ@{p6#jpc zULc)U{F$szeV^1!`ZxDxdO>iWtU-DFfBQ?-X*^Bo)zl98RBm%`_C-t=ePAv}jte%x zEFZPn5OBjdW)&Ha`?^eTf3)r$V{iVAE^odtr9MTXsI;$bYoI`uUk8}<;K*2KxfE8NAuyX(9D?j46_uQocK zY*J7Q42{%O!!@T~9e1Oao8i$UGjM2b=Q>X33hl22I`^pKG1keot>5!`1-ULRegRI? zHmBMjarX6lcu6x4d%b*Pvdbus(V<_||MDTj>Gzd(52q$hzAn9uW_4=Ss#B|lOJ_gN z$;D0GoB9rQ@oF*W)t_8lU7NlbG~Kv1+$-0EAu%HT+TQ@aRc?O&Sh0Ixlmo*KcTMv6E-VI?=sd z#$|P`Wh^m<+MS+GPqEi|WcV{it+DkyR;1<*cW>U^vq_!sQ70ZVT$a_b2iol?^PHny zKdtjndzbV#mw0%kMnE+g`Axbnt2L@#XdPbXZU5?U0jUewVYaq z*RE3p)f?(NymMz?yGMAP(Cjk9#nsjR=$dy8i)$@oc$0%3Muf*hLFpD3C!?O>;@jPb zKkn;S$JN)xZfwmqoa3{7A2EhQ7a9G?#N5!%wHnzy?D6GBo>Qo^=nGhHPe2#|;YkGA zo`U@#iVuOkF9bhg+zo{=jCeTgM?e?}VHAYX5X@~1L;?uL!#;@O6KIdSU!n z_Fq6aYznY1giu8M71Q~T zL$t38`+5)>KzJBJLkNu^;O0tuj5mdNGYHKgw1D6ap*4iI5ZXiN0HGsq$K zFGIjB8}_RqtRr3z`y7hDO8X74-w5G#2)Pj6gzy#wbK3^-JP7YWc%Sqgu-^^gLkN3F z`v~?QL->^VGur3F{vd=eARH#`OV}4u9MdU+_*W2)K=_9AqqH~k@hxx(gzq5ypdC97 ze1fzeVP6X2Ct^JR6va=&{uc;k#Aj|~5dJc}d$4*Umc7ifPG_Lm`CA-)RxYY=Wi z_y!u}};gCGonFcboA!)TB3kr1~q9!2rduph(p0Emx+fNPB) zrcZ?UGsKf%{~UyA5T1t+0wELvZdTZbQ#=y(+kEez@;Q8WNkZSExbauNy;8sLfX_ES zdV9yFZf*bF`F)_mW4a+iO$tQLoQkVDL&UbKb3kltmx#M_tq~waOU<)FU%U(dZcgj!Qs8@ zTV8cJeCLaOFQ#t)W`pOyVE4`Fg1J9`J-%?(uE|-?ojzi1wAj7ZYy0hecmBLP@W6LD zpGJQ?n!EjQpIu9>zji)fr(ypl!+SSMDf6h? zYQdTF|LME&@qrsVv>x!*dd~)4QESeoe7bza7kAFCc{AYeqc=A8yf7&Lv+s|+^U~wn z?~my-z3nrXJ^FXvQ1{ekZw`Mr>*tHto_uSZPtMT%Zl%WyS8m(h zZgL;LU(UZ@cWv+jpTA%Fp-ys1o5HLi?+&_m?LQ0GPfacQCS+nz=7qbqMVH#R_dLI9 z$0y~#{S&)pVQROS50;;Le|6}1|3}+5xzoF1%jU|Ed-(x9y~i$?@onmcu*c5M>wjo# z`na{f?Y~%g@WgL#X3iY<^U34Om+t@k=Ru?Xj7qKWe)mSQ{r$>+!`mFoThnGx}u3Fy?-*Z2H+v{&N@AGcmji(0r{QAbl?^pIXH0MU;Pd6sb+VbtqerYMZ7;(Q^0Ut0x@pHm-BXGv9c(zO~{G*lZd1 zitp1SKJ}hk`th9iXFjy^jfBR_6BnMjnUFkVWT9K=pc8pZBChW4zF^(m0Ykohr`68a zmsYNDp3rLkuqu=e5Ipwo`4ou$hahn#KA0OBIUY|aT%j!El zKlt1?v!{-1zq(%cLqXeC4!#pmYu;NEE`QeTYTHkK%ShdD@9?7Mr{;Z_*Jj??UvIwR zwz+KnFpt9J4SsZOxnyd)o%NP~;dkTi@ka*ja>;ya?8yZMZYgE%{hr;uwo9vzidL-r ze&~?XZTg))mD+OGPsc7b8FbWb$f=(r$_{0fJ>GT4@@><1G->teqpyd}EZ#oNd0^k! z`!lC?+ja5S-9xqJ1+UyR`_JkA+x}S5uI+bW(SOaIawV?syE`jG?Vrz^x4ijNhu5^& z@agSG(~|5*Zg~$l`msm2SIO7QcGaD}G-KI?%9sBbx;j4b=#{kB-e0=CDCSx=XrI8b zC3C_X4DfH6^UCvYoL#@X<-|w(kNw@_&aXF*J=^Hc#n}f&{5fiK|9r5U@$u@>uP)nI zknT4jVrk2i5*EAD>kC@B9Wo9{=T`KUTV|+YrBa#=w*(SB$=Q0PH`XXL+jA$kB}|{Kvky zZHZs<{=hw_8{Xdc=|k(gcK9)2ic$8tcdwJM$58x4>4sl^b!r*;<2Of60Y6@AeE&;V z$NJ{I`C5ZtfiVpHrRg8mRcVjB?lXF6YnOLMS>Jhk{2K45_ZEaTyglf0WYgg>#KcW#aAJ?qnHLU_v_@BQ}tq~)*HUC}yj?WeyyHTzz{?Nuw!PV(>FE%<)Wj!xH(5BP23 zsOjH-HKO%*Dg72qojc}Y!`RMWbqs0U>-@UJufJ`ub<7)&&wX?0`)Td}ZL_B9sUQ6A z?`W_n;_IaY{@MRLocH60fgO(rA0G4clvg_iN3Hmxw>`VlHTS3b&)k{!rT55V{hr&J zSMuuz2^HNp_bKmJ`{&=nd#>B{d8fHK@p-;3WBT^LX?QN3(Q9U>Q;)AK_|nV5e*8@zUY>XM_4S zJ#_r~x*hdvzq@^1vF9&q@6TK{_3Dy^H^An|@RzsOnbZEypX=EJy1Q4tSNTuBdmo*j z^Ye#2-*)>I&N+Lu=ZUmwKh16P?cg0>ue}%;|3>|&VQ($JAD9~v{P5%tUL3nL?xmA~ zS3XO9!W(bRYuw(rBhjy8sMP<1-qmsO{`f)9^s{LBSEZq?|w>Q?V(a@*?l9j&U@ z18UIYYsi1wHr4yF)u~=TP=lWi4_9x0x@GnHTQ&HT_iM>iyKOp+9u3p?yIc9Qt9k_BFJxy#_zl8uIxe)N^(I z|E-~)Z>Zt=`l|-}$Dp7ddSQV_KzO7Yy-?)8kEjimoA z`c)&t3vXy)dlc#mx7uVsiEeD?W5646KRK$XI<&3aO;WigGnF z249tqe$k=O819HWj^00xeNKZhz}!R!+OE( zdL!w720plet-bgQ&rHa^eMMFKFB(hxv-EJo%ufoO=VrJY9^)VbuuT?!4dXG<&l?#H zn@K;lWVVdH z3W4N*9hEElS((ols2=)I{+;Q9h$Q=Kl>dKfNqc+-h+7b~<9qZVi@K?JMvm#a2Fi5Z zrMVFb5s}Y$nNNS1S8)47%rA|M0kfpzeNr~|P&+>KwbXMdT|2dVS9-W-*7H2le=L)R zrrw>>EvI&gCI4}h{|}OFv zXS9^*T1Y=Y{mS;Etbcqahg(`bS+4W=AQ-l;RIY8*?u)g4d!Onjjm94w$8p0q;zjWg8Ww)`W7uB1<;avi}3$FR*OJyXnIFb?mN`fbu9DBWh%E3Jz!BK;EO=idV|!RFL|PSSk3 z?2`0vzN;JXu=Fz@AKt?@oc!#ed1NllkLLAqh{|;lGXUE>vhPIgd&(yBY5G}2`F{@H z1>-h=?Ay1N>DuZ^-9~x{wI%KmGrf z_Pxly8TFINgJnHTg!16_EFjvqyDs^2xiem&ay6%NbtFBT+VO8{$6=&zfxVcowRz_p z)n_=(`@PBjeex4c^S&SHZ&N+j$Cm)GWs)91<$Y6|kDj3Z)59XmRZ8~ts9c@T))C5S z=pVR6Q$MNugw$8cYBF-@x*JI^OU!!fOXJ21_<{vCQ~#X&MDCY*i8u=D6mX06x$~A3 z@Et5}i%CC914cV38^z>5>M!YM4(XAk54kRNvmbs>*RR_Wsow%S+&WS{OkX7Hp|w10 zETDRORvVY{sD662l=U!*?4PFo)|vX@GU?u!M(GxHllBRuyHR_6^r&>;LG$KKXg;im zwS_W2FOhvJ`PobBC9_TrC}l2*QR;%+-d258tKo`e9^qMypEPq{_D_qRrez) zY$f~4lx|X_%)g!NAEE2ia#QL}NdJ}c-@2~!Z|46+^6x)G8ulgodQ{I_=z4_9M{I@E zE`FC~J!%*g7j2)E`J5@i_#HO`~)xwRKty9K-9^p!GJy#P%W8Th?Of|5MVxp>gJ&f23~abFQn*kCk3d zhLinG^7G`kvI3@3J^V@Y&OLm&3Y+;kk@u-wXYWe~zVfg!j>aW7TDLqR4~zGhSPzlq zQdmp+6(|VmUu}>Hn(zPqrR!@PzBGkxG}$kN=0^JtbOBAIbS>21&MuYhGLH1uXgq&9 zPc}%f+!@EHTy>90!x!agMmp8cVXB{Tlx{7`=RdSAYESk*lb@_&>1Q^j8&2z@)^AJU z5vtFtG~YdTL}ug`>GbE6SuBJz1h2gl2TQn3C z>nH2BWM8>6e5t%c=1W8Kdifg0RX2EI zY*@XR?q(`bH`4RyI{mgtmaD(q87ru~LmrpHQnK$v{jjdq58F{aL@uEIPxX)kr(?Rm zwUPPUNcGm4`olMLVZBB9uS@=OXnY$&={BK$UZBl8&8XcQd@u7EM}F*-pM@{Tj6{=; z^Dx$r2h~p?`JY7gFU*wod9oPB8-SSqM$gOqoA;GbG@i%Mcs`K)ETD32r+IuC=}zS5 zU&;tQZZqoBc>c9EE`3My@BRvzAFJFM+bN%CGNdq)+Up3FE1%Y}o|JA0tykUtl!oSb zwSvaanE6s)LH3_gKk4Ko^|Peg$iJQHZ8GWOso!3q4>@(9{OqCpe@yqek5k9JPUFm@ z)Q)C8SI~I!1KoFDCjVooe?Ck1v)I3J%cARgEnU~cq-<=X>pGd%!y8He0NNAVaW-Xe z1m!0T`UUE9-DUfJO7?rHU$s9a3-lk-x6nNGM1i#b8_JK{VCtXaX?f_04?Q@y&YM4#&lKsNEm^1?iyw=tODnN%=fL z_5AHHna}Cu{}AL8?HAGf(u4FXbiD^w$^wlb{dX$w>wihd<~-7h+E;u~3~Y~){S+Dx zU+FK?9Y%T(mG{rJRG(CDf6}}hOzYJkvVVcby_U^nx!#kf8UA$Lg^rW?*+KRPDF5@c z_2g=5#|H1n1Zz>cw<+DNl&&xN@dme8KgG#1!TzMbOzq;9BK6+n=N($lyGBXD?6)T= zpZ9WQKF7;q7(=MPouTJoU(0GT{-pYxPS0)3e)}5Ln@5E-+)eeck;>bG%G-zX`39A@ z;kz6_bZAp1Sgzff;F zUFMUPYeq56n?KOJxt;9seF)n3xFUs*NuL02Q6G3o3g-QYC#4%4BhyWl-PBk>{%4<* zdKURPO!;}|Zz-%Hy&KFIq2ez*@1$|^B#o2ib$5~cT%a4Np_Fb6jr09|WxG60dL!x&Ngv4k<7b`4 zM(wqZ=FOQTccJU?8R|c=q+`8edE?xqAMyyg8Xl!^6tPF+^~Hnvt|5B_I4To){*@YnqTVD zI`a?GchP)tfu0k3lI}_KYze)m=tX(}U3b&y1NW~}J_Bi->`C{tPmq0c(#KqshPk9i zkiL!V_mloPl`DbP8!4nup>j2BCH*v^bWhN@afsG|N5~#;Z?WEXEs*uop6cgEx{m&y zC3SjyW}Jfy9PQJyW&Qg>IdL0KDF_8b-6;g;Gy({&% zW4EM(KBT`wwWKT)LrOYQsD4yl{>5wB6XuHyr0 z*gRx0jC5-E7pdK0SQFceRR4c@N&7WqUq=2Ll7F-R_|f?J{c~X5A;1@1nds+Mi zoyLJt4P<+Tl0K69;cL%HKf56xxDBTM|24g@u}In23H=S9CseGEeq2aDLGwa#ywpFY z@_s<}@QGnzY1;24-O!#(45NPX7|oAnc^6ZEI7H74dQiF_Q$2WQ%KXz~J7XXDchUTZ z(fAWfuhe;m>6^r)wdddDq)npum<2aAowfp)v zX0Rl%So@vK_!g>%JCGcvo6|<-XBCwzgW9p>zp^8Ek)MaD zy!~h$_!#L0RBs+yy*bl$RDX^1GoS1~p!`hzTb8#I_1iDVkEiD6D)s;UNz%R@<-d^Z zy)^r!P!23t^S@<+=6c{9<-b>gEHB+27;nl37xQa_1*Tvp^;P=4Ij)A(?Zo~Lz^$%yZMVLo@Yk@n_yfdU8eI^E`p@3WzwpXhf@+f zZ&QCblqk#l59Q}0x-R~q>!K6s>*@OXXTEeWg#3(wJ?7^>lyP(YbCmpK(tCVZ-iWO? zm3P=YnV&nPms3AUrROSB$p4#EpABwEVJ_J(rF8qWlKI~$-5Cp^Tw;924`{&#*%sSQ zDsKvYP!=|NEoXG4`~>5d&0sr4e$JBpHhduko4Kxdit713t&7ZYawzrZ%u6z#Z;G?v zJ9#wTzOCJFzDeWuffr@JrD4&SN&2k0Qm2o387pc0zd{3>C;9iLdMmju^NF8_#?6QN zj}y%!WQ|&2qXYGy4n3uRy6rcdsD2jik@|kP{&8zY z^|P7k#~k;jk$#5yr>Qrf{J%{ZkCASSWz_C((S4aYKKxGC(MylXj2DtUE=#anf3%bJ zc8jiyS0Q_-2U}!5H$gk$)`#-{P6OFb%_gYRFG{cf6n6G?AE`6=lq6Qt#l;YRb|l({lL ziL%&63-aG|muyFK9kP__-&cFD_aV5&`ngph6AYzv-=z9%)lxcMPxa87)?)^Je$SWe zCqX{(y31cF^J89jb?Cn4!cOUDr#x)DOzpl1Cs5dKk)QWy{nm=^)BBSCI_c+WoowpI zDE}W`mWC;0?*VSHTw%MUe>Z9`D~(HUhscbW<4FRoe}-u5;U}rQzEobby?&x{wV~&$ zODWxzP)tmB&_7Zz`;{Bjr#He{u4+2+$`6})IV3hBJ)qL0gOV(Hv0dumuz3t ze_!e+-F#(1>9wDcO!<74?ki&{pWUgyO{V8#KBPyG{gud(^tKcru#cDzFK%Sh5^ zHjwq>e^}b5lfI0~^%d2_6QrMoj*9iUdX=mZ<_eM#loseK-DKDA@rIWj-ybCsv4-M!PKj^9znEuGpWS-XEc zME$4Bx3d4dEt5Cip!LiXw4Mo)Zj3KnWx2M|dd$2odeL}0{2|H@*}p{jzjspBv)NwJ zl+OjrrTr;N7bjw@w`+6*ZT1s)YOfRY-eCom3r|P;b2Jf|^>&P|>xXK|bhnWIY_iXz z&+X9VXZ(lCn>JH66fJ{{6?DCSwL{iV5|yhX&3DHZ%ZxOahYct4bCjO@S;!vy7q)wu z_W7B8)Gh%uj(L%N0^}FV)%~Uv(nudb^}l|KEKnV@-dalg<-=wE<7Bao7PM|zM)w8l zpugg_gVqV7wD&1_bbY-|*VhPXZVadXc4U|=?~~*oU$YQ{i zPwtFdDsTJ{X-}^)jP0bi_LKTvnT+u^^@n}*`IFo$4L_p#ai;MnVW}+F z64EaLqJ5sX6o$cdg4;>T&-c_HpgW1JCzbb%Roeeb`h2=Bj?y^x2>G8+{o%$W*&lYp z`MBLC|Kra}Lvy`nrFGzPS_hi_FqZU>G(C#^{7vJ0rgU$Vz&L>OyRUYi*pu3&C3O(9 zT!*NAN7-e5=;IMaOK1+PpS$JK@mlgdJEMU5VQZQPXOn#t z`FEo)%Iqb54(VT#KA-frsUAL~^^aK(Mo7qvn7G)G#3XA%Qb>pqGHPN#NVqM*HX|xA z$(ArNU|4iqtZkxodbCX*tNutxSc)|yA}ZDz9W~!(jEf7mO-xBL#zw`?!u^CKYZC6C zj!zm9mk?t{qvPfV$3`V3A_pee5)%~-x5Zdv!vnxgG#(5}wu=3Pxa5Q|;dxkGY*Ip; z5GO*`h4+A{6y@1E1EWK&VY4D26^u`?g$b(>(c!Vy7@OfgE+j0$W=*oiC&bN!V@8-Y zIyx@Qm|;tr7!yB^Odta`hY6k&9hYb`5^OPXbA*qC&#iHlLxac`Hi;4wd zEWs8Zmym?9C@8dnrV&xmwnPIlJ}xR2syoq$wIwBD6^hJ+Ta&CtqAe-h7GX_}PD(Va z;WLvHlZ1?CkxPswLy)eLtg*8ajj*`bIkp6n=O#oY+2%&YibS>SPR1NTp_8JLpotTc z5@N&R=ZTz~nmisB7ZYQP75Rr8F@kf$;*#lzb&f46HXh4mL?qa3BB!Ft;*yi3Dk~5Q z0SYFA^&n~rOJOnKaM-M*C}^O>_ynkv2(*Dp7ACQ_6fglnII%$Ag|-iy6%rOXDU0ee+6T^P{4;c`t*besis1wAz}Do$KEK(>U0xCFcoArg}~ z!$^cH%8ujrC_R{#Kk9(H^>h`eB4|*8VjS!9BXv4%}9=i z^4b!Tqiyo)k!Rz8p%@%gVepQ zBpkd$WMOFp!JK2c6Agz!R4jA=aY@QSPb3xs^f7i3VmC)4-GD zVJIRaa!R?8Igzz5iXbm8Do;4eBlQ*|fyw|VvB@#g!mR%3)Ow$-0zB&Djntn2>@+k^{X; znQDNlM;bE?vTwE`oPtrARjA}Swy;Q>99QU&=p#4jd zIbm_OhzOjI(NYd$if~+rok3NH(@0oy0?vgrD#1zdQSovhV&5p&BO!J3BkPRcRQ?gMKSi#Jk0MomE1WF}p z0Baens@8_gtvoLCD&n%+K6skhF{KkTzk(dO6=*gO6t4=KIZzol4II60zD=CL^GiKM z=~yN?vzS&6LWd5*^d#A0aZ*qvct8Z7I4a}J9Tq7jV`y$$Y$7a;;51y8LIukD5_YmW zwdknfl%aT7FGs<$nOdtls&b`B1G>VhoTO?Bijouwr3e#KJrKpDH9I78W{Xa=Rk3(L zz`VmcBMz3zV)+X$QL0)|TnT~li)DGBc>^JCCz4{s@)v4K+#@LT9|xTgR`*Z|xcq}1 zF6n58i*PKFScChIgH|)6pgPvtqBYHBxHux$-M9`lm)-v3#M%!Ws+$lzjLT+B5chJW z?LUr|)wn=GS)7LvzO3~hS7i+=eBw&gT+5nES@4Cjxsa91QSylg94ksl*Sr&|vYHI5 zvY4#8mV|<ouxCH4`lIclxWGMvPcX$#F<~^j{p+K7|WYLs&5r1Ge=9}5l8JKVcSq`bEGrP z%IC+M3yh+=;^`o5y9dibD{E+I7tTluflBz*7{UKLw5> zj``1F;LyN5&H2(d0i0enCRPHVIu-(0xoREY0P`YpC~6hpkXVtcO!Qz;g(1Nz(>xs4 z8MDb|eag6_fN%<$m;z)bK@8>7tG68Q^Cw*Vpj#G5iJ?etw4EP{VJSF>FGB z-`KInu%V+y!hLl(WXYB=9Ujj_!2>Pe1gpb9VvktyMUt`u5PVh>Rdb#Nw(hUY!e@C+93iSZyl zn1u?9H=m|O!-~UzV#?A%EzN;vNcdDt6%GwVN~niLT4Ui!B{c%(qN)Pj2r>kt_Y9~( zEVnf|MXb>i@S$(GxW$Hog++?TlW;pDJd3rxS)Z6otV}u$Dh${7333sEMWTCmIdr0> zctl1E9_-!JiOk1sP+h`>D4dAVI4$C0coH$$ccdtX9}yQ99XeHo5ZL@ zF*2GEn;abt!$XWA$Hx$HKN13Oz~BK!0*tQs3Q7}UM3RaeWXw2ZGQo^P`QS8sTBEzF zqKUgcVTO$$B4W9VH6UetP!fXe<~SG5p+K_1OrkL*QOz`>za<**wBMEx0nc}F*fzr8ompIr zI3yVVI0%N$M0o!OCy0Z}H5etrAU!>-S7KbRCom>&;CllbBgc*!IxM7jFYmr8>WKC3 z)eqjf))N1mXfFx>)_y>79K)Cs{KrF86-nsH^v3s2p#JyYe{0~sHSpgW`2Vs7e0)f3uIJ?5 zLjO;qsTZG>df8ZT51Xl*Y|!VyOx^r{9bGiNo?U*P##Pgsl5YOaiRs6kbWhE`4e4H* z?m@bbrgtITSJS(ZZqf9fqz7ucH|di#y&vhJnm&N^NKGF^x?R&Pq^E28EYhE)W0X*Xj&vVQf0}e(O`k-%MboE| z9;oS7(kE-Wjr34WpGkV8rpJ*Uujxso+ckY2>FJuji1chtPbED^)6+=L)$|pl=V|&& zr0>%7)uiv!^mU}?Yx)M#i!}Xp(u+0yP14IWeJknZn*J{76`H<-bo2A-WnB~)8<2grrZ*)$N7LJoo~!AdNYB^wZlo7!`s1V*YkEJ@ zOErBU=@ptjg!D>HA4+zrStjrXP3B-t=Ssj+|*fhWuDG`w656YI+Fi zlQlh>^iWMtB0W;m7m^;Y>B~q@(ey0R?V6rLdb+0PlAf*U?~3c}e)%4Fv&(rj; zN#CXE-;=&i(@&G0uj#*&UZm;QNiWv)e@QRZ^twxFp4D_$(#tiy73me4-jVc5P47Xv zq5VG30McDFeK_f^njS#9yQWVj-9ytuNcYtADALXEm7D!Jj&zG=Kacc4O}CRiS<}-< z57qRSNRQO?b)?5@`X%7 zA4uP)>8DB0uR$-WK`*XBFRei@t3fxvFKM=W=qIxOyU_OvP2EPitENYi?yl+4q@^ioZ~NP3y3SCC$= z={HHQ(DZ*vuhewoQ`rv<`h69%-JMDI(Da8%_tf-8qarMMblf6 z9;oSUNT00f?MV;S^hZdK)O1hM?V8?;^mI+{LwdHR`;eZa=|f2O7$Ton;NOn)oi2QS z;mP#fO!s2?0W_q|hw1cHAaTT(>D019w=muOZ7e(x$n@ugrTjCQ>GxTFLYeNu^hl=v z!TiKCeKfOAVY&x>_YY6AGyQpHpU(6f%zrl1hcP{e=^rvbxlDhR>3K}A$MUm_=@*&* zeN3lESK??s)9EYwLN8+aB<81>>HaL;Ql|G|_GL_enB~8m>Gzp^1=IU7y^`sHOs}B% z3thKk{@s0Lzs0W`<}%%b>CZ6Tlj;2bYW8A!087`0>G{l$FVhz=dkfPyF#ABJ`!jtq z(|0pJp-gAyMkLc`vjg!=-^lb7rn|Csv@?A@vrlJw0MoOX-j?Y(O!s4YF4K>&a^*4o z64Q4von_P5$8`FMIB`}!(@!x!MNF69z?27znND9V6$eV0{uRrA8Ph$PUe5HPOs`;i zBFj%D)6MTvio<@6ek)`0Bp0UBS7^lnSElb_>AEw$5z{@Gj{i@%xp^{uKC|~?y7?V` zJjaLW^i^!(%9rVzP3N$;Fuj85flQys^vO*BjOn3F|BmG|lIhXRKA!3CF+GLp=69I! zu$}4V+5+`-rmth^W;1;z8q$`-^ej_^eJ<1CMS|M$m|nvC?_xUrq=7hRAJge8+CtA~ z`f%mlFp8LtZ*$G9nCbLYV{xdI>G<14=2ph^Nv!{rGyOAWU%_oWULrk67RkxXCB^mwMzSM9~o6sCKz`m{5>Bh%BF4nK*awrr+v zP^w|%Fx~tvJs!?w`f_HU$MgnF-^FzLsSj~5tC)Q#)8Quo)E3F~ zPAs4COz*(To5J*o%-+s)`iT;eMmp06GC$c&KcR91{h#R#nEza+o9~?Qv^=H{VfMS2 zUd;UOV>HC?VGN!-I?8})xnducwcVm7knf@cQ zH-5@;l`EdL_{j-OmD{0 z&1U*?<|l{g&6#~J)9ELW#nC*bk74=W#q>eU&pxIPVD|Y;ho1^kTM^R}Sw4%I4nI|+ zwo<11GXG^vpQfx0qnzn+Os`;i50-8v)2A@q@OSk8ubCegrXOPVu1tqt^HQ5T)6L)D z!-F17H~+6G)IFL06Z7xI^gyQjFufboeVK0l<~aJdFugwtv;{K#73OC$)03DU%58)75En@mIW?#(o4ooj)`U<9(F+G{-zB zy+6yRF~ZUR+c0|@7^EpKcXt2QvM6l^a<9Grc$SAIkJ`%zq@)n=w6}>Ft^S6sC`7_I9TCVd`-1afu{H;tpme2IJO=H*>G5s#{Q_S=Z z%)XTAe>1&|=~kBia;C3g{wtXNKJ!z_^bn>SBOU#peu`Thbz%C4%-)sh+nDao^c76^ zV0vSge@~__VfJ23e~0NlO#haZ*O%#|n12h?-(`LRneM^#$xQ!>>7h*T$n;32H)r{Y zXLDQpFhBd4 zK9!}L&-5^+7cspl(~Frtot3MU=@(eKWlX1^G!|!-GkqYluV8v}mTo1}kFj(Oi=+SV zWPV(j9>V;%GJP!b;;eVD$O`SE4?BTTn2y%W;| znZAjYcQVt5Gd+~)p{yPvnO>XO$1}YR(^Ht9$MR!m`e~-8Grcp@vzea3{O2(JX=b0x z^rOr^kLh19eHYVnn4f)2KhEs)nI6RSBBtMCeu|m?9n(vhK9%_?V|p6X%bDJWwMzxl zZ!!OsOkd3W7^58h|66A7!t}1p-j(UDOm}B`7v{%<>0dK@Po}qE`S)UaSLVlu>Ax^P zzD!@mbPLn#GXH^0$Nx*g+$J-99@9gaewgWzOuu3}fqgvF?=n4w>0_85JJZeoa{^CG zXL<~?&t`f8^Pj`?3TB_nboxnqaaJDFGnt=VOn-{`*~fG{v(IPxer8|9bPLmqneNQm zrIhJ|n0*=3;cHrID`$E<(<_)hlj)UAe}<)N;D5XY8@}TzVD>Id|3p~GKdwxl&vbXD zKgx6urf*^XJ(=#w?7f&?huQlu{RY#0nNDB%5Z)|IU&j0gGQAtqCo{b}(?gkllBFBT zbo!}vaaKIjeVCsVrvJ(O*qMHt*{3tToaxz2@4@sOrmtjrF4G&bbn}@07_;BS^vleC zAJca-`+TPVhv`L3AH@1wG1DhA`%m7Usu?>0V6tWx9>|u`snV!$|msz?+OrOQ`R$Gp4pc%{S4E~nI6XU3Z{2w z^;608L(JZw@5kZzzl-I^h3UKDdocZ3(-`)iTxa%POfO{V`Y?S9 z^W)3(!%Vj@{SBrEGQAH=cQVueV(Er5-G}LsOpjxFJky6UJ%#CmS-N(nf64Nh&h+}s zPd3vZXMS>+9?9%;nf@iy^O*h`(|0j_2g}bsrq5#b`Ak2^?2DN0$MRXs^m68>lZ0+DBsXuU|NG|Ni}K!8mSQzfhtW$Cv9D3KZ8CyjyV{!J8F33tpudmw?wVq$id_U-71t9Sq`1CdKgIZgn(G(56+bMvqvD2w-4r(x?4-D{;A{8H^5O>it)wv^$WWd;|t{L7d9)#7sS^utWu0GZlU~&@x?5ZU$MJjt73dncl|<; zVtj#i{equje31m@SBx)yu3zY=xSe1(#rUG+`UNM&_+sGtg==@s@_PtAqqw8s62*@Q zE>PS_@NUKU01e8o7$49;`4x8+oT?aaV4?hqJq248w`oH2nf_E$KD|oYF{6Hd< zU-1)yQx)S2V<^93ypg?r!K!$G;2^~V1^X#}Qn0t;rv!IYJV>yc;=zKQ6b})6?O(I} zzJkvv_7hy9c&Ok4#lr;eRyAf_Ezp7ra@qP4Ftk5rR_{&k#IYF-|~Ge#KFOgA~sc?57xS_@MlXqXlXN%aDn1i1n*Y7M(}3EYXz@TyiRbc;`M@OE6x#YRs5>pAjKO5 z`zd}+u(#rkf;%eSB-l;y>w=vWzajYAO|$&Dg3l=4EVxARn}Q1zza@CL;< zD#cp`rz+kic(&p^!B)lZ2o6&Gu3$gK?+Nx+{J!9hinj}PQ@lg4lj5C%ul;3~f0y7h zigybxQT&160>vK+-mQ3#;LVEn3SOo7KY~*gew=mk2IV{GH$e z#or6wt@sDQn-w1yyh`y2!KsRW6g*pTsbH((lY)a3|0LK?@hQRHihmZ|QSoWPZi;^q z?4)ee;1sp_z%Ie6_*RPD!w2% zNb#S7{S;pm?5+5c;Eswf3wBd{MX;0NtAejpnB}h!d`9s#!6k~X3ocN6L-20Je+k~K z_@>}hivJdzs`wwlvlUkgwkp0QI7snr!G4PW73{6}j^K`p?+SKPd{3~G;`@THT{X*( zFFxV^M=`#LfcqcCwFDO^#t&q`{jXwtkqGM_#m<6PDaH@z!~L&f`~nc%|0s45Y*k!O zaFAkrKnwSOiW>;_R{XHwj*9U`9NhmY#xD%Q{h#8-g0EdM%a0#4fbuKG7i3U=#Z3ek zC~hivw_<#N59L>kAJ~HXKgIZB9Lld4Ul>986}tI7o4K!G4N+2=-QtA0&qRf5kloyD7#O$WVU8j|;wb$t=H@ z;4_N71(zts53EA@72^j)f;%dnCfH5!^MaiehX}rQ!7P8M;4_M?f=d+Ri)`rsio*o&Rva#PvtoQv z4&$HV2*Ig}X9%9HI8v}xag^X7#WMx_DaIFM(Ef^}1$R^&BiK!GtY9a__(BoJzjCwu z@q*7No-MdUaf09i#fgGS-2j&06EWcgw8O5oBOB62=T%dTV;N6Os3Er$YP4FtkFA7do zyj<{X#p!~riZcWUDPAGiPjRMTZ^bJGcT}7u*iG?Ef}Iq#+x)=t8tdbX&Num zI9cNujcpoF(>Pe;0FC`M9;9(UjeBa`MdNlFH`lnK#?BhwP14$5d|Bi38lTqqxW-2{KCJNpjrVH2UE?hpZ_;?J##tJtX}n0|WQ}7q zwrM;~<6w;gH1^kckjDKq?x}GXjoWG5T;qlsJ8OJ5L2G}FFKc{W8aLF~S>wC$TKj8!S>y8>pVs)e#z!?itnmSj_iDUd z<1HF*(s-@LSsJHlyh!6@jbk*nX*^BiV2uMb_Sblj#{D$zsc{#L+iBcf4?XU4=jn8X*TI1syAJzD<#s@UstMPV?w`jac zoTl+2jgvKw(b%T(G>wBb4$#-I-eZYkXPb^BSMl__)SLH9oBI0gd-+yj|lh8gJ5gt;Sgzr)j)M z<7ACvG`49xP2*sV12p#6c#y{ZH14T!7meF#++5>^8ar!zH%e=NjW26_UgOgmAJ_P( z#)maNpz&Ufw`;sb<4qc`)i_JzG>sRTY{?qr2lqynEa!o^8&H|l9KLGv*|YMiHudh8 zHSS=CPuCcSXb<*o!oFX9+;zKW$*8atTp401sH|;q`qENzFR2+gX!o3S;Bvn#LcI4e z&&TiM*aw}5<+zdDBiOQZP<^m8EE(sM9=2o-x)SMZlz(;p{{8ZB_;Sma&IiEGX&RiX z(#P{J%!Pv(35N6F%RwHNj78<2d9^i+&*8&;kTb|%mCE+wWz7iqVR(jrF%=chFBFxI1(!6rDaK8DtQn^qC?9Upa$^<3 zTsV%MgU*S4N?Mi@EnW13k@67yt^Y#(efZ(E3-!Qg>7rtx7S}RW{9GM0091Z(8G5i} z^{cn3j_7|$(6`L$hbD0btXii_;qAUzb5)N-!RKDt5hKY3s_FuM23@29-e$lj12LW% z{6j|eQ+Ry|C-RkH?zGIEGoZ z{3fcX(vp>)A`h4I!`&Q*i{#-lez-mye(*}KwzU6;nflU_@oo8sXKKonIK0MjSj&_+ zoD7F+$W%u1Um3yBx&hE=*s=l8?J6>p|H7Jh2|DqEjrKpC@f3Wig`EMzTSoFZF}jJq zhzaMPggR77{%O>xyyW zqO+*PX%9{!c!6MIGwaqlR$Y{S6T{%iKr$#JJT)(1UTa)W0(?gF-t><{4GS@ybFw8^?jz$PL6sbs%#bf3Tn8)KMC4$*j}G6OzHD zfp`CsG7Ym#$$V`$PUz0*U?**N)#mP^Zr zejN#Uy%+@ULG*-a85e3|K0&|@30o!=)($j9LOQTMf#Wa}8cA-jN$$2^aB^2!1WZMA9V|jt^DS%D z^rK7fP}X=D?yL)BmrFIADslJN&acHOU!|_~05^*>}Z$3zTUu zhYKk!{{s0Y;3_kVVWE zT=#gfh)#o7?u8ezc{2Trp?jCER^59Gt_m|?_*lBA0<S6XzG7=lp$laAUs}58(*5M0K!jBWtk;#A1aMUh9@ zwYmw>8Qpzp+T%D?EIfYGHbuxQByXs^%SS~VD%1HsjWi?aVCGE^QbY_iH z+gbQ@>;E{lEjjVOOl{sL9R`psIknYeQ=12ru$ozH6vz*bI#p&9w(x*1VJCAhE~~MNl*14wtg@O<$WlW|6HxVW7$1kxoeU1@@K7lQ#zJAm?s*=xvR7ke z-rLl0X9Tldl{=$DFka}{p+|$*c{9aTD*FFS?Em;U5Ejbj5Sg`7m1`z@*zv*-sztO_ z=Q6OWzK%tHt7NSdrnD*pifRn3-GS8(H!{z(GNow@zXmU|tsdA6hFrkFB!-3VvP2dy z$QCXPGm0$*WwkBca979TR8;6Y8O}GBg1K;R4Di46!V&ZAK6JKE)w7+7El&Axqbyv3 z4|_WLfK9paeHi@|=vAM3$)gVBHse6~zc`KTErZ_;Irjy2>;X0~3BO8~t z7wdu%J|To^)vf@z>=N7UC5wK$@Ij_71ZG}IA|bVTDF(G*A2?ue#4 zqS=mUjw71uh~_z>yByJdj%dCkTI7fpJEEnIXqh8g?ub@6qLq%Q0c!}eejQO)N7UUB z^>9Qz9Z@ew)W;F^bwn+WXrLoH*%1wOL?a#1ctW#tCc0uEw>}|Mz>&z0cb` zGnt~hzyFU9%{-;S)Mn_U(tF@f!_Ys zb?rA^v-bKA-I#f};hL*I_`!y2K9tEeWwPsQGY{Xm_Uh|zytx5ddVP|b5fW|~CNr@; z-y^U+mH?A1La554w`WH(*(Vs}_%JzTqFb+`7S;lZ`(v9J@1gcHanG<;ed_U$R-Hm< znCk=xIm}Aj$wd{!4tycpE76t>;aS6`nJb{;~ zXA{Y;{E70c896VbcTzK?Q13h(B}^>c<3jkjui%ug;9#g=@g}z8bghg)qu6S3h#}X4 zF22R4*7{R9i4;^;qXoAt0>SCLcCRkxr)kit1VZb1H$Vcsg093D(JP7Tq&Z>ld;!~Z z;1Nt>>58|J6sRkhm~rS(Oh!2rPRlYPg~0eyfU0S~L_o=!r$et`5+;>5nP@)&2)>0M zP{_A%`Wdn}5CdWp=;Bzm{QyK{1O*W|ttCgY^yK))>90f~a88lx@g5lcc= z2oq%yoD3}Ly*P2_$#`Ch#!L#I?+)5s#EPUY9s`&$@VFvzMM(i7N2}kp5>AEB0u$8@%kU zE>KZZ`TbvmMK5)|X)+mXl3ydVrDz#UsfEE({5C2}IbFOQAlTdABE>-Hq8iiIf8tA} z<1FV_qnr zc|58g%;RMdns-S_9u=-_b(@O|RWee^*VHQfne(;)BJ7IE?(#aoK$uPSh_>CAn!~ep zmiK*`vb|&aJcf3<28<4pQpFFT2zuKX##*DYP8V-w2z0f`_#s9?3XW!a6-HgHhTGt09keNcX!5W>gQL z&0Z%}o9&^O=#mhH6WZSdj0KBl6X(!J@6YyAH29=K(v!QDG0*;C z5gF9c8D-%N03jVP7^VI#vxoiJ$b$VWxK#?uNO6PNvxknQgmfYc zb%iOG9BW>Tls*nT{KiKhfX^n{U^C9i70C$0z~r2-O3pIL$x5%gA0h{0>yOh1ZfOyb zuUAa_ox7Qz?WZ+h-_ErhXTxEH@h|b|Bmwkmx4l zSc%@|!LVW{wx)1LM8*h7g&l6w&|_$0IeL6rax6VKmFj+oe`D(t=m@mX{6#%{2UU1C zTVaMl!nvEN*?!u#LY@JTkXX|B^;n zzVQAsja-3r0C$Drqn#vzIJ_c{J6QQuTF6k^DofhR!ikYtG?j%vVw8qEyp7;~jtqaB zukhL&pvGBM*sWFZX1iG@wzBY9WGJl`2sXE!;D1{?9~I&w9h4xGe>PL@_ocMI2si}* z)7%y=0$>&CbVS=Z7I}qa$Y2A|UbVIsKUZIN(IOZA4FAX?A3gdm0#4DRuSs&Mm$t3y zi(w3^w9(=hZbPDok1;v`U}d#c7QgavLX#CvsY zp}Sc<+fQGI;|E<$LCw~sci1-!xw`bAeS^NPOApz%g?!7o_GmcY{#}}0LTHM+ba zy@Q2lWb6Qz)Ip}w+h8i7YS|&Cj+sXL@h!nzzJ&Au$So6A< zCUN$|STEX$qB1_BW$*j9mE+1T$+29aPA}2?vxN7>(_Koc=GXA1e<~WD-p6v`>AhJT zm>iCwArjD=n40x6u8>VRcGKdd*>&ri0p31ALkQMR?P`BuZ|-i#7{EwAXsoD8c-%_%gQ;lQ2f=TsTa?P=%xmV2a7N z9}$A@@JlQN4D!aV8IyzVtw@hDHE&W~iOn%}(xif9DzSr1ox)oy|1?kH536#iOz$D|%Q=C9{DaA^=ia|ViU zEnf?5#GBS})YYX2igd%`r<>P)zRb0G!)b;+VudFa@k)fqI4uaFY{mvgF6`8d0?u@_ zE3LAE-kJCe(=?Sj`ldovR>*t;OGTTx;#8?QCw0!E^yb9oKO+R$4as0}uzgXwH?igC zh&hTn_pQHlPo%h|FAxeEfy{fspOyMH1xO>_Mxm0B&zB&C?r!b`jEn5%=KWVlO(gE* z&11np(Bo^o8Qr(>?1dmf>y^@6Hd)|}eRxLmEwwgnk(ZXSX=i$ANt?#Nxv5)k(|7}_ zNo%la1uw19rqM??<=Sl89!;BcQgbE54uSx~FT1I=zSO(j`Yt+mxJfMw4M>f3qHirW z;VRRp?W`ItSUBB(b@CqAD6^T=B}k~uv#=J}?8A*fTnG>>i?wQBj_nUiKxkvISrHWl zmCwX|+($$t82Y@A8mGHsEOx7z(lF+R)w|;pcixF7ZV2(#D^9=3Q6KPgxLNKH{!PEjwCUF_*fE9H& zo4l`(O|go|&J=c2q}XTM{Gcmi(!8nIQWk)O+x!4N6a--Kwuq*ZLI&QusVJF_p(h2- zjWki3t}mR%1V8MPf+b9+UDyo*JMW3579i{&dWn99U|b8)P0S4>lBOFA+gaY<^neRM zO0*g5&2N}3ZN=+YdnN+igkM~a;$yo0JDF{nTQuYpPz#H1^!2)>cuwZ_j>v%grQ((iMEx+hwo|1gf*bBKixVe|c9Nn{NJ$c}?NTE;)1&n4>0wBT6WZ3w6}x!=7wXK4#rF}@Sq$F z^4LkT_;x&^AeI44Nw{1r$;P~rqbPZrLIT&3Pp6wZM+A~CV93}Zc-m zm1d9ovzH^guul+Y7tJpzIEMhZ)U>>;6 zE&Jt$g@(K(KK;9JhHpK%wjXRl4UN=exVO8NxQv<+ zQW)Y`$aQz*s7?=n`Gq~I&Bq<=X5WXR<4)^#p~5&YlC_>ZJnRNKY$n!%3`AO`DE<3H z&lgpQFdQ=tNFFd!CZ})y_!Z?h@>0m__vigIn1@xcDRjp#qYspnNX`nD__&t9IfDUa zWwKA@4}A?y*5IVgxz}EO>mwJRjQ*N{q(#{%q@J49YIQjmgUq8ssuAk{)oEVksMVGmADH zyIrp07zhu?Z&KP|dz`Ko5D`*B`i=$$=YSUJ=N$Gb=tvPIZfh-cGN-R~C-i&2G^#rG zOOQS(^kWuUibCBTn`LZob`NI0Re|OpEjb(r`#^4WHoeP9?^4eb9ZJEPh&jCEnJMn7;-(P2(yxUaU1>IhWMBAVG&N@mRFXA08B_kdix?>J|eWj6MPLLoEU@ zGyK``tTg}YZvK*Fpg@Bu@K0WWhCqQvQ{X1AKx3dly(!S*6~Okk%{U+RQB|LyLN>j# za7a+!+1En(1kqMwr@+q4H9&bpw;u8bTMs9(i$qJL)*D0Es)i7ixV-?CK#IVA#lE=# zpaW2SHKlN!*%{}`+DsPzx7B8xi;{Q+_8AbVtsd_Uct>}kQL}B0cn1rwT!{B3yu(Ic zl)`%k?86@q1s zP{$E+%1^(Uy5AGgfe{A;5w4UeFxmHxnk+W0qTyb@UD$AuOKu=-3h>}`xzpEWnreXO7 z#M0W*_c0V3b6N+*I~uclk~=ofXy*>6F_@|NpJ1!$9n}`+Fo}yA^6G!VK=*R${Vxsv z7mRtY7zV%hve5rRoZWVy2fP<31ROWkozwcb%#2c`uC$ND`mF}*Ra$Jd$%Cr2T7fv{ z{ z$@nwxRoaqDl5o%@kWz%cN})GXDdoWF_28A!+3!%#s7ttK=VbZ7`Oh5`hp-m`1=}%{ zZQqq`4NOwiff&MgpiB&fU4xu1G$Y-do#D<5yy@W)>$-murMf$I=?=Crx=6d=zsnA` zjgmDemVdCudiB@4U^yK@aX6+kF@y>&S{$DEXFvj{br+j+4KD!Uyo}XxtxHQRL--%IiTN6*dHIa+kNSxtd^rD<&2v() zg2Va8@s1`jB`Zvz?;aMTJX8-iAc%_|^ns#XiE zE&~RJ|423&#G|u^bubJ--r`!*z~6r8oh-NJ7*9-x&o!ThAlxuo!&_c9e%Mf=K-F;+ zSai@cBITw*Sv(^SoQmayK;juy0TNqQ(z~i|pFUBQ?a%i(MCFv&GNBGJxO6JH#N*_| zZUhO8rCMfo|E30xj)(TC)Ty7f zDj&K%MrAkSb7q*UX991&uZ52O7~K0J9X50jev?U}-vs+(-}SO61VIA!@wcK+{r1t^ zUNz;$EuBhnwsX zUt84)POJjiylFqTh$tOW>p_b#)8Y@mB&WD$56QHDhg*mU%S8!6+eCFwgwZ8{QK?(~ z2{DDHmt`u6jqnHHuKZ+`wWKMh6}Q=lr#IuXr6fWG+sC1ZT@vPu9G8sC@QF%s3c|W5 zeQ4wHLDwABAf|+!F}jUp!JgYrwomN_m^eL{b`vn7 zo+X=qyZ3d$-y6ubZ_T#$BWTo%q621@>qUujl4_$wc2~a4UWUMtCR7l0pq>avJ$ygT zr*~>a6Yw3!8$e;aa(#nwNfTv}WsY9sI#XN*TsgNSd;v+gRb_987Hg}Oy_+Pfzaeqw zS$IOc)wdwn(&{Y;UVvv^5OmU8T~fM7E=9iJ26CMq5eLlh@PL_(#P!mHg{j#DzIAbW zXX375eXalmlvv2iSvK8MRZ%oW^U5ga!eFz@+-5hvw=&*tljl^`B>1BQeIa~ zGgyW_DPYNpCrn9{O4e4<4j9Kh&7Ba|#z$obbN)2w9PY&e1a3OkZ6Sk&)3o0em`Qvx zru_!I#5}3^WvvjcLS-{1%*BJVhbA!!3lE`McSnD`9h-?{Lk>Wa2Orh+Iqj#J^h^@% z#h*Q||#dBPE^q0urn0#HwmarJ5+%<+{5VZ6Pm*tqHY& z=HGf$M!mdDvEzhr?ssT;P(80o(AJ;?`bav739iB}sUhjsMnx*tpa?+QaX9;ce>4L4 zWDuQ(V2!I$qlD(KS1{8H4%StY@sGblMwd|+at>l9=8+^avQfkiyr-~wUeeb0kXQ}p zGK~ZnC8SOi*juXwE2b(6>>HxMo>>i8C$&twX-&g#v5-*G@t+~FnvSQE6qlnAiy(t< ziE8`WYTK^=tJ?kxTqa7$yvrmG=V_*2BcrOmuTs7G4U{h-;OD9Yl1UMVKV9m#0oQ9? zcq3L(zh6^IMsmiXD!@<>8$KY56Y4;}&ut5FogX+7)iecDs{Hz z5}($sKw!X)CEj`uy#_s~tjy&1+zpNm6fYlqt20ARoQW*4SB=%x_=wj=xDU~76yH;h zY)CKlD~spomZdlJ7hl$2JgvWYYJc%X{l$~}izoFLll{dx{l(e+#aU)U6F~Gr2GfHe zfKDL-b5;2N9d@Ef9|{_Zogz=JttRk}2EKn{D5eZS4Yfx`7(#VvaFLwB42N zA$>C|-CzatW$H3wo>OKTGsyMQekRHshT?#y`B_Yi1fZGCjPWfzPnmlP9lK4j&RQqE zX>q#WPEroPnCV?Ocz6&`SY`K3QqFz5H%U1I&#-s6=~U`(-Nb?nK;sk8F@-lFJxr8axTZgZRBSl#NRDDFq$+2h zIh}ca4)Ha4l?YgO>9Ja=P?;LGb?_+F!iHf?FyewzrTkj3C-IRxaPO#nTN^Lj%j^Pvr zg+8)LjuTDBe7SO`Y8bZMf!#$ZsQ-974@~Xwu`*Wp85TB?b!_{MHd)yQKSz!O+d=oh z1?2|aXC$ZMpzA;*Y}t&F>+xE-wTsKP_Uee%aJl|H?oP})0LS>!jnzA{E%k-}#)T;= z1aMY)X>;KjO{vzh(Dj2JqFnQy2=}e$V!WYW#z0oq@SX{z{9x#mFD{Z;K3igh=VK_; zRkl*qgQ;kqbX>TDB0Ow-*uXATz?zZ>tx?P2YkbxbNWl_zBvxp}-7L(B_V|sDA%Rg+ zn?V6%%~vpf%ddM?MU+_~1*hFr#=pRDE8L3<9;dBlu$zX{R0f&K zvT!Q=)O$d>Uf^>r z^}xGrt{rsPfgwZqm4F1CW$0Os8t>DPUIj#FTuUiw@i)uPE@ys+0q6o+RG()AO32rnU4R=IESu>e$ry464dtM@X z_3c%Ps0@M13Mgs_)cD{x6<&BkPy(&rG!yAT34C^rr2GveaECyuL|=$THodL8V_Ph- z@}x$h*4Yasa3T!NH1D4dwdmIk|EA%teDsrSDQ8#&H-E~ zgBS|kG9rj~%=F4YosvYuE;Euj_z64M%x=`g@KY}w+@ zea1kC$IZ7}&yH5qRZmnRRxR+dsfq-G&Dxe-vaDhmdQC8a*SGo=?yNGlhOlr%!yWf}IQc1ZPasAO-?XJmG|4cnYy+UDbm@Xd-sHaIaa^ zvuIdP{~lS_^K0FYXv*J!`*6kocepPzz4Z9HS57w;u-gCxNRL~te_ECUtK)j-$|^bj zytM1wX)$q`Ii1TLEjAx%_r#{Duno&}-hhmX)!y-%a`t?c}CX@Yxu6W`jCU9z(9m{jm%!!tDMVCvvoce3p? ze&?)vHFpV#g%eH4%ciugs+KKGa7l3GxyEUQ&-H~@6&gxV=J^n_N%X5G-eAjbhqUIimA z=$OMDln3l$+cRviyJIM}mR5R5uC`u#CJvuYU`!zbh8di0>ip*(vkUcms8P6I@I|oUKsl;0$@&nxUcFK}>D@4tLk@Cfyiz$vm^vvJj1rfWk&)-Bt^~wPtqbZ8R`aaTX-FAunI1e4zO=}W}g%vz@O%R z{AumQpXFWn^EnMP*L`I*=5(3t-K+Q`p=*A)l`Gg_A|l!Lt}c*?n?6&Fq>nQv%%R6% z8Cgbnvt2d~k8&kkdMoXmo z*KsRsj#i>~oos;PV;2mDsEBh>l(g(+YX3U%I^?-)-SJHCx21o9ZWn4iz%usNnOhCd zl}kn~%%6&x>>=Gm;u4#9+vae3h~uevfs%`{hatC%f!G5=d{WtLZ~hnf2iQgp(hOzO zyNftkF~r4ikQ1}5q0YhXj@`V_;QK^yrCMmPgYb7p!>1dX&ReUtk1xI{49G-DGp_2s z@HB#Vwt91jNmw~kIOX691>X(`lP&?2kpCMfSL8ei=dxrvFqq6!Ud^7EKCG|w|t36_-FXwTN@Lw z;NFfOoEpHugXYlNit=GQ@Oem%du&AZ^0>!F9Au&Dq>kICqlPA+PNB#Y+1!ATWBezt zm>IimHlH5H(^`H!Pcj>sw40fAeEK&$;dsq+Xrah6MhXBAV_-TP)k=7P1eIQjuH8e9 zlrPgka|Q<^#2kt-y)$QUsPe1qnzWK?FlY%%sYWsFzH6i+FHFKd@BW2YO=VkhN}K)a zUGMw!MZfqB-ZwH#BfVYGWyXE<=~}I2gk}-w;PeYgl*gZD)@vQ(F&BPo{g8Wvm(}>* z-fRu>7$&WwNGBzjTue?J=hR<)nekV1EN=YOXApprZ(q@0Ev^?p>iNzRe1$C2`LE)4vZJ00 z3p%gZ!wo7R8tx~9D7nt)Z!q7KgKF<%lhL2sdgOY)yNSbV+z?1oWn1AoK285ePz|~8 zCn7^!_)?1e(N>Y(CGPsAc~?bI&NUZBAr3efa=JV6bdY!#W8n*0Uvw0Xgx0iQ420S8uWwss9ZwDdaTzmIsW}9GN!@3(Z3&7S z%b+MMQ}jNPdM81FJM}%0FF|-i z8H6#VpO&UB!V|YdAWXR-qV9|vSi0J~!ggdIr5};8;o)pf6>gHT0prbeth`KApSCAx zKX5d7zcvc*vjD-4g|#o#7r9w;%n1LDD@)Im28eA0<$n(E4bbi-0-|{L;aVohsQ>Kj zOW8|)85~!|iB2phBv!y(t>pE>j$9Jq$Jp{;`Z9XW? zm2q6}u+l;MG|A9~D;)3d?l>4*PpO%7cvSx&q(*Eq54}&PL0oBn?&b*m`N;}+HU|+S zDy8vi*n^==wtX;*i`25s+i>sVz$LhU5rb^znT^!mP?>Vo8%oJI9db9oj{|VO%aNh5 zn_i=9JV>u}gUe453IUu!n#PUq72Q31=r9^C>|stHydtN05GByQoSVMrT2tu9EOZYF zb$9F(7jfrt2n79^sUKFLP%EkRkgsiKc-#xypcgdSoB@-=ubE`iBe>EpwieE&7_i3( ziTAey{*2BAPWy<{ywBl%bLpY;vy<+5jz6to-TmDi`(w1(`wO+EbtiSa-u;6s1IXDi zM}CH~{WHB1IOvQS1Fu^exIQ<4CUMOwZ=6QZ3N_Gyg$BjFKoNZz!&t%mOl!zBbY5{V zgy#=LQ-4&8!!#^G1jE2%0Sj-9SHK5vhQE0f?^*>*Ye1&l8h1#l;5W@x77!XpFaI?U znvpMDoc|u&@X)cdW+T5BgJ^5grBt$TuefnLXC!*gWaE-Q*Ug`65`<*gz1dL^p$30u z`Y|WrG6wA|W}b#{8P9+Sqt;;uj6 zixjds_5Pd&|4XC)rHL=zm2Y@_6Pl1Vyc?d7dVx)~@QL{(OjrDj7cpd2ms(%w(uyEr zy-Osb!2}^vNJ>bX7DJmG-tW?;g;n6d$}g(g7#xB&quCi{GDkriqNu|npKV!>f_bNP zUsmoV!P7{#Wj@n}QyWM{j-__?p7u9>LcMlkArovDQ~sBx0wcSWl*C6AjTUI5qv@Aas3z(50kwfe>Pr#t6pdE^8oYYi)YgEskY_f8!R$)ZjvBO{El^# z>TId^ys#X~tnf3F+f?LDF9A&dRkDJZx_z!d05%Nbk<5IwRH7ibFXWl~vdaIm+W*q# ze_6>F?}N_z#-$$q$G6OISHHg5*Dm+9Igb)!P!CMQmVudw&QK>VNp zhx2=3cW?x(yJIj05ONRLMT!LIKrOh-7i~h2%wBSXkUZulSkdTfg#p&cp`1U_D3AE4y!@yp*UpSa zcA0c%(8iO~{l1XdGo#>H)PGVYo ze4;VtzF=(OSLy|LyEo%tfeR-)U zG7dYpPsdwR5x6aDkEp!B8bS9&1FXdq<|~tkm(m7RxRpM9Th^ z${3PN_NPRT@VYDk$y2sds+A7~HHhVq+68bOmR4Q%!Inz1cXSxkXW{ge%yl`X&{nzp zAvSG>H3uN{Yd}8l)~vh^S)e2)Tm4~~D17oNmIDNtPvzWlG->_?loFFh)LnSmg9Vog zb4|x9))vL=j|H4~*-_QCEqfPgeGNJ)Ji(pzLM;>RBk;{SX_Dtv^K{j@x)*w|t~mzQIRq+(ni@Ly~ZaP-VMUWV_2s*;ACV zzPmRNxn_%+`ZRqQV~%{Ebx{wSLbx2gj}>+joHSL_-sH5}O72z0?}I_k$~W!|Le|B) z85I>EEY`+#ig(S%8^IP3h-~R9H@skh96=(xWWDKl`#DwAs~ItK6-E7bWM5xvf4HkB z!XM1^$+iLz1A(I>PP^?F72Q8IBc+e&s6A+yqEuQ3QtO!xWQ_*0mN84dZKrh|5fu;e z`B`Yc;d~EVz-)RGF9ukPs|_|4FLmxF|H4Rq<>DhpE>Stk^mX8?F3p1qG1J%HZyIjS z?s>aH{Sf30P`TGDyTPse|o3b=l@|(9~1I<8DA`%9U0#$ZjjAEU&I^km;0C z*CeM^t&U7P$4dufnSdSiNje`0RpBjo+3-dg6DGJD(!AG5-gs<1Lwi%SyyFmI2_a=9 z3(-9{>!8hg6{R~pzBqjl1Lfx&D5oIBqecY{>hMP4@pjH$r&qTcQnZ8d8J<`6kcK|CbiK$;FAj?6SZ57JNt7E<m z9!jzVdvj{y&U^9V=x5KpPm|pr_b&PP5}wT^9|EPEN)#hCgpx2={7#B&JL3Y(K;cGd zL)2AZ!sEFsZe;{I2>+2_U#r4HI#H9j^P?)y zgEs6_(|&1{5ZIH228SeG;%6Sq=nnVs*dD#RdVBzY2Y5)$2Gnwes&HcUFqAQgO-X8o z>d3%mQ_^hp6*7(0mrXT-8Y9)0$BjhQBTm?c+R1tM&Xn63ArULEdrx+tSvEXA$4}5b zc&oAzC$#~Rt{W_sH=9tIy#B{yB$5YitvMQS7&tX+7gXK)dida2|B~IWPVjTJPdo^h zOeRII_%pubP*Xh?o}^We2R}ZGDCjXaA6I;H_tdd#Un*Dnatzl4Ty2ov#Zx#c?42*c zy#6ZN6ePKGYW<9vvBXDy_X2WoLHzxA!~G$@#4Ad~--B1>%P3N+2c5~V_Uoj!6_PI< z9fTG__jcY1gWBA6VzGd3&nn)=$vyVsB~T8iao_sDikCM$4&lp zJp<{FUI&q17so8Wl5^fB&$7vuU$srP@{ir;wSt#|QiM}T^pU^EJ@Q!{7ZH!AEsHsbDtGabs_O*?MwdrlQoJ68*BNwkaa*T2@E=dB` z5Q(FSL`rYdfpAsrQOQ{oiUUIY&CeZ!Uyh`gBIRgM{+sL6AO06~>Q@kUGFbTKpBE3a z!_-Gl{^gk1ZS(jvil=tH+m>A@HdLr7ojjWU{jHR5;X7Pb?`y`T)U5*{gEE}I0YQ|) zXHmkD8EHn{PYur0yjcP)91_%gkSwc_*04f#Hrx0oJujEVeRXc7DQ#o<`Di0B_8IFH z&k<`3a641#73n>o1BIt_1*NRMJ<1z%2ad8A*PwYzsq_x*!Y5Ol(QKYZ$tFJh3K#X3 zCRb1x-c`}k`Zz&twXd6nDEsCLGy-dQNAuE0MKRCesQSjA&8RX!BigIAs(f9%(1*1` zB{K)&M!Z2@ApVG91Rap!{F@P^DBSEXf0PuQkGf$Bw!K9tSh<_{cmgh2>3N#R8>vaX7LO?wE5~vcfbNm z23#aw0&&xQmk2xt7J+szW)q=Bpe6($x$~7vBG3PN*gZ?ArVe*^9G1}4;o>~^dRQ(A zPj!B?B;=&uDIU;|TX2Z+K82njd-pOUz92v68_;ky9#ghR)~oSFEtX{K-93_Qao$px@mgTp>F zm^f`Qs$#UH%@g3r(74+?Z5C_1_ ziWp8QDqgmubLZN_~C}7_$LQ4mgew+-AU7T%8Z3ns=C6`DQqP&7dNY{{|f55 z(8?)#6%7g%5t(X4`4TF=8HuDKDOe3KKb3J&tllQANL@;#zJ2`BA@wnoFF|TYl|T$K zb&zImnD63=RPH5sf0aFvdh9w}oaCJQpQU576jy#!!$dtzxiCP1OJG+D`#7Vn0)!Rr zkE6Ux0UQ$&;r=`lfm1Ui6LCOA3@84oK`g14a91)^M))%j{-ts<^?wF(bx@U%slr`y zkJ9u#1l?pM`Ee?NPE-Pkc+%Ni5Ai~mY}er&uX~U0JSl}gb1su)y%?f5{pGHXFJr$h z{&KZZX#YyUgf5%e{()*bkm*~Gb-(G+#y5jEB)--9Wv87tZV#A6t~b5`60=LLRN_tR z-Zv-4GktHGL8-REA2gwnA8gnth4bv|0q27T&UCC-g|PPQYS30{&xa-Kb(#fpo}Jn& z!9ra>{J@{k^dC6Eu7V2E^l|GpU@GM;9xVS)&p^Bb&uSptF|lq&@e1Wkzs3Qm^4%~Y zMu<`QavF(waBjlppg37S*RYwy8s-}5 z@6H949%BGN7#U!+?7%5yH1F0e1+;^J?l6F=<8BI9VG96hGR#EW(H!2Rp?qM zS9}S9v-4^h4WsjLmF3-*Cnvm?;W>LPw^s>CL=4-;GAJ)lBUHo1(uld@+fxm%m1KKo zjO?zIQxI@=a0+4&3gUaD!Eu1hF$~?WmhVs#oj2J{iKSp4&`hE3 zDA9Nt)9rE$9m_{DbdMxYJLEnl6L}v!Z+}&l^u&<6pl~rm2i4LOv-g))=tv^EBU8U- z|7=I11mpYE9p8f%g@VB7V_d-3p{BFkh(O=mV;p?YX35OL$2dQ)7H>oWu1EQD47frN zEYW$X>hPXdB_@=@XA`eX@1#mtSQtZ}O9b<~s)1;#;ekGndB>{4?E$#6#62*d;C;S8 zR~OIKIKiv>i)U8#-57BsO5y=6hzGa_=|P2N(4($(2!ECjg5zVDppWAh|6~%Lmo$6r z&?LFX3fxD7y|$q<<@Z4@-D{!7WeUz?_A&+kgvj`Tpydfos`GYIT>~Wn62=PGpq6FO z$jztQ$K1{C1w%tOyB7=%TGjF@)B=9Qw$_~I%DN|)BHCoHMyx;4#G3wD`;>LzrmBU7 z8k`dANwR5MChc{q=XAa4BzKB9J*j}U)MGzoiuh4Ph;@osO=UAhMCIl|{E08u+L*^x zQ(NY7RTcEl@cj%{OrV|(s??Hp9YVcH}cE!~^vUh;sW zs3SOvnj=P0_>#A$|B{kXN31b?lkqz5-Rp(faK*!#B^@!N_+OFteENdRV2+?_@qPRx zxZMMumt>wdfPA6I%PJ;fYZ(TXX8-*hEa{{td}BOBlIU^6G0**s zM4!Vsiyi(l`msVJ=UT$n?+#0^T2N%M99O61D`Em)mOz*tkcu{zymr>m7^}Pysbf%8 zI)8iZ8E7ytmv$G5r&zURCJ~D|Zl5y7zJfX{+fCp>7MBc*zhyU78|Sr~%`cm#n+wZz zlWQDim=j}_Ymu|44veE??zj%g^*-(N^m6UUrcnC<#y$Z#>Rw8KxfV4WUFzam?c}6( za+QiL@M0VInJDF~H)?n`RBp$a9wGH?G0zPfw7*W+(S!e8DR^7MG*ZCRLXpD$|Bw{C z_cT#nMne~ePX9Z;HPa@xPHtOXp#P~2&^#Sx&a^$Lt<247&7Ap~cqJ7tZ}3^t2H42Tw4rioO&LHS7750i!sP5$=ZjezNyDiI(=}Wg&X;P}Yx6Dv^?JNJjM?=_RXZ%}^j z-hrPGBZqrNkcjqT!#(@VQ)akl%uU>nr`I4G>&OHa=IhBaYwD2(`sUsBV??@@a)-`l z%RS?$lj(klKfJSQ0ccV9CH`dk?#?mG=_67GxDkp67zYu&Zhwf_G5VC~c@t|n(g(M= z@aW0;ws^M`kF9+%3P{5s=>AiHv;Zr-Um$2V@Nv){B2f5u_N}jHl34W38~u^nfgfrI z^33Rdh(EFRxZXJ2clRh$ogT^5{_cCZ$ZNcyy8%ecPyF#AQZG9SIk?=pn@LU&Q{bHV zyci+2q1t(kfSc8n?uUd6{ARq{o97^p`kg!8#ODahN@0mp)I%KU-F8bU9L2s{Xrg`n z7WSKhRm1t+7-taFM9&|elP+1hZADAYeI$|7N6b;3=(waG&cE{&mhMQDJb;^XvL$y| zMBjCaUqpE^!9rNzk!<@uh&PqVnEYC0f`N)udw>KEN2yL(BC^MH-~Bgu3mz&u6{UFX zj7%U#BgWz!TX0-&L^$jDUX1WgD9o0o?(_kOHat!) zXBzyr)Sj9)9#ExGn_pn_#?67?F?a3`MmONYni$Sz?tTL{$AC|< z;@i;zWR$Er9LcIIeRe<;jkO-y8bByoaM%wUC%kxCH=q%a^yP5pmzl4PO9VbJ83CWX zGlHn|h%k35jNxVeBY~h0&)rg=%Grb|#rRNpjPnNLTTUtsdU)sj452*on4kcIqV7p* z?G;Z_%WA?`kjMT}-10B<+xm|p$I=xg4r5ldmX6Hy^aU`XZ#_n_Fo|A8@xl;UcY3h= z$N!9+(hVT50PB%V_Q&}RCzkd+K=~4qUs#UhuL9UgB*&-5iCR?DW(uc4v#pbe+E5c> zqmFwGq1U`2`acTMy+iYUrmyGqj-7J3ZUxrMvd<(0g;#yaHRzSFMsTHx9#TXACLbMK z;m$Juy@Z^4p;z>Q+VG6VFa+#KGrig@y)s8bG5V7=mzrVne@aFBG|pD2?8I7t13O3%AXP zlj=p(>@`GU?eWnF+>6SRVD>nE@lO~}(H;pi{vFV-uKA|_4|{6q^E%o{el-G~r4Ves z6wbx)9kWM4yTV+&M;cEV;#fJr?zUWZNh9YRFj~id2bC&U7*ztp9%C?0O3d*r{eilm zj_N!0SaD;2oL}=&nC0wSF*qWuw?zQ(bfRFs9r3>5^g$v~yo{3+pO=W`HTg1WWmp`F ztmf{8uMrP0eGp7PxHz5L@I^Cy2-&<8T`}0aGV?sl?8b>z6oc*~6Z%>YhGurxVon4d zY;L{a2VPJ)M{WP#b$)Gsi{`*OG|J5GX^hO^%nsf%yJINkq*fX&eTT2zLkU`K-%r;#?NfJ1VcW(}v z#|0i)u`DBe>Tkp@i^w_Tza^$|(8tlJZ?@03@MwKWRWA7-K?iqCkBGu?$MjE;r!Kj< z5!WF}MM>~W8GiBi*eeSy!}rZ4L413`BxK@?J+R~5t**h*2E24Vx5Gf`U&jtzt; zuJu9rI*AKO-VN18oX~v!l!!a`CsiX z!(*VoEFfQxZqp3{ef|EjCxfC7pp3)=y%1cM{swRWDLd%=RO>IJ{YZa#2)avjtHj1C z`OCo8KOYHU3m;do&4ZAU{xT3a+-dz~z$&9${r>VLvr2n@6#lZG@b8~m~AgB_WT^fUtVKPUm)zunuf0^*YJ7N z?fe$Qc-%UwXM187fs4K8BkIEw-i!h3yn>I<4ITGAm&_o31l{AG!w65zcZ(jBJl`au zEOS!lEJ{zpQMG=+4$O9Wvjd6Y zS0&)T3fbs`@ZRdq)3x{fUaWQRyrphpKaLE&oOTM|i(0g|BUFPfmFpD7SOb$YIm&%* zdgx~Pg4Pg^qU5m|^FP3>!q*JP2rZrK)NKX$dM%^xIbs996&V}&2`WDKwan&|DwHc` zP@zDEC6ax;77;ivHO~gutPEkI?9voU*56H;!U%JW0JVV4mIj)MjVNXfKcH=4usm&x zFWz7nV9SHdJW8gQ|1Dx|)B$}_)x5$tUK=FeTv$5`KRHe|BpneKqJ&vXSxuoDpqVpT zdo8;xd)!$gW)u4~sKIazvib5s5z%>C84}=-b>lHd;j@{Ypa534ITM`0ZkzI;N%`_v zC3nl)uOJ9p4{hi#HBuy-yPE~%@-O_OwUP-e#oE6z3es@`D zX}pvP6J7j8yn)M`I*R*RNI5R%qq{Lp_jZ|^^jaR{wNm>7@=>O^6I|El_GL5P5ON&N zWOXXxGlP&_UJzyl_tQt7qu|cg82cvWFpEG??M(dI2t;TBfh+elSmZsLhs%Q>wmkS& zTHe=zts(yKQl?&FmF*bt9g@p7Z-Ow$RcV)G@Hi*?pI z>23D=i~xG7D30y;YM?i{vzzM7`E?+dT4g+v*JCaM*KP;qcB_ChvNEes*YMD*h^d`i zUcY=OldXlLTC20r<CnA5sF+j1(N2Kdx}Dkel&!B`Df zmhbwV1p1ZNX3m}~SM;xq=kJC_3vP>i7kDt9ZKoL+r^OIGeLUWv_Hi>OuOQ>ib_Lz_ za}e83iffpwT_M*^klgEydhsZ+dKKkDy?AERiN}Sb$bpi*5*;;ty(o#-dath+HQ>F` z_SJmcMe&)~aEHN79ra0&K!hvUD|CuB5gsZi+B^uIxdS?L8>)h&;znQwXiit!Fl2hv zcoSR!NDsN;@06eq{W5u^sF6?#OR^T@WCNZ3$n-QqaB=o#BrDF#m>-XF6lH|)6&6r4{=SP>S zxoq=h(xnU5s22~S>W)IkseRw->NrRl&-sd!(Y|+gY>u@rAbu)qTO(x6ti+&ntnejM zN20b+Z#d4p+3L(K$P4PsUg*p&r**T#D2v15Cz6ZiXVFTS%f7DuV? z%n%PMvys0%7gA;z_Ms^g*q8R)Br|hqc4scCR2YIM4U4ZuY1E*Sw$l_lXnYa~e}@uZ z#k>jHbi8Km9Eo+!l2~r>swjjmDu>Xkt3(LjU1}+rJ>5Rhf_O!6`-ETEWCM)sBfwg{ z*$TkT5q2kxu7>M|iA;Q~j<9qI-;v@R@wpkkp=ulwsxSjDwc1$1b0l7*8xHWbW)$EG z{c!4dkUi$U)#CUT-v)_=?wu%{A=*>6K70$uKY_z={>H=Ld{*}@m`x39VNxVPRuJ#z zhKo#}?uSrk{x<9ka8ri!i~mdzdu>Y1=yk)f*=$?30QB{*mJpzM8)QJ$7R^5KV57m~ zV>4+^Wk*5wj(bRKt?zX41s>RIEI_A=An{&rKj(XYM&q*6b1i7Q5AmYa4&EP-s`%+Hp)=X+^^R+ZE8*|&{ z5my!FL2aGC3X{!BJD5NwTlK8L0F4QZ7>-SHpBxmqiugMZaiD|K-5pc>Fe~pqFJ435 ziz5LoF3;kX=$Cw;-)qTRn?r9nXj=C>*KO4~(-h?ZCiTY64{~$88m64fSkur4q z#>&xV`SYR8t-p()%}JJ7^hcwZ1(ji$g_+S<*->Y>cI)(*iBby;xpV25g@>GkqstCC z4j&nG(ZeUmRSqB0bF>^iS3e)DZxyE^q$s#gE^6FxJYaTImx}mS-rt_YqUQr7-Y@P; z2-*Lik+>A=lcTUcdJ?Pcq6Fm2xf+}V8RH&lpvXT=59?A5VdGfc6apWD@OJTtnKDxd zeh6Z+l8xfHpiKQ0bBL7yP%^2xxEx0CL94?kauVUh>#zwsgDH9Z)EB{Lg7>|edeDjg z=_-@n@M2AG)AV21^!cY~dJ5_N-mDl^zh#S9kT(HbcO zaR08L*^OCQWRGSWSRkM=I=w)PxO6%N-d7|lzq~Ts`PhGy zDf*3)qMr*2iPyo+B}JcvAovh);@6uZAnA?he6SOSr0Ehc?+T7AC;l=I%$*oPkzk%% z8t&u%i4ZnFHAR5UAZB1bFi!koFYi#06<&uwRno-UgB*1^bCZ^IIrEFiumpr8Qv&kC zum?UGdab{tr0B!iLZnxl*V{O@5v99>X{S*Rln7^iuXTUfH+N7>V#4wY@nb{s_6 z(NJv8u0~M7^|dL%`>1;ks_yv&`ibQjdNK%sUzvlMAN@U|8(ecioBm~=PnU>QKz*KT zpc6}1eco0Gp&3^3f4ag5K~Tm2>ocKxRdnyG29&>hzp1`^5C1yUBy}4|k;bv<-+uS^ zi7T6@aCW-$yCCER+7g6?r>Xa-&P#;5nl!`ZWZOko=RI8_2C7CU-Yvv%h4666m^T6e z9CBKgcF{E?%fdn->Y4V`iT6j8zb9Ni$Q}9GQv3>Au><~%$0g(E+!`FRR-(1dQ*Bk+ z*JjALEco9KI~5o&4YpUb`r7C(Ta8$Fjlv+CHqQ)dn{Xg1{yAH@IWMuob{SodhnppF zX#Jh|TCG5_wKn;5n9u-{%1!Op1-5}ezdjw7Ss(RJ^lG?G{Jey8mJUw*mzSIV`?z~4 zJjWnPUip8EDBl_8ZWB~QwtWolP9-hz_XboS$MKkhMO~^iwiDK_$g`n|=uD#oYh{ zPJZcKI)Y-{Z}k=NhQey>$G?goBjkWX{g55%hd9)~4}ePzKoJd&_D58RuZB4aFoQxY z+5&%?523%ZA`G=5K!1RTR?#0n0??TX6qw~94R#64K)y4~X0Xi%8Q@zd@n<6SyfWWIV41uzZa2``0D zKLN&%VlfWWXj&d0Ukr6R%E}}tBy%d;g1~zm@NQFhRa#fV4r26s#i-o5z z_k@*SNG9q^8lqY$J{3U~LDq>sb(s}O&%izQ(@^>9RN7VpDxlJ?f^n@KkRn9ga^1P?bQ9?r&=!Eqlt)fH4PFM#jduiFII&;HhrEq%f zv_{oQhMmC8a<NEmiirg0lS0qm=H8%{B9!_5~f!MS&3vU6vo-%vt-BcxQ~rGCTd24dK6 zczd{;LBB!l0RAke(XL><#ng)y{{_a_u8Yhdp;ZW2Y-1U|U11`zPAhZ7xblBeSZau+ zRS0tKHlDK8I$*l(l+Res?NOaX^?#fo zLo+>r6*Ey#r-F;UQR@Zz{nN1T>Kpf$MU;O}xT8iUfL4P+%QvU!2zSN@{dXCmMgW_i zMQJT^!HMtH;{F-SWlx3%kg7!|{xKIc42Oj0c0~aO)DK#yCX9DUSQYp+?OR;1eocE^ z$t>8@oO8SyuB83xmtm~E@;`f9DNW9*plQDnQU1H(S$$Jglc4t+PyucB%#W+qW@}Ki z#N7kyqLsy=3(feYk@I;B_k@W_)Rchb8KMLWCaW;XLu=8my(e$Rh)R6TilMGM}8Qhl?-FVe+`y42!39PX#23J zal!gW&*HGO`ZUDj7nF{M4`7>Cu%q7S`AkIl_Z%o+{zDPv7ne}Qga4MO@}PYQKB}>j zTHLR({t_O`DQ|3IE;mwUF6VBw<`nLMw<=Z46iy=+#tijABjVCQ|9lM+rV}_jUmIZp zcLD)1f3WjwQB1Z27m3bBidzb7vj}J0c&*HdeG)6&KkWO~*&+P#awu%kpD!48|bLs1jzx)mbk>pozDP z*&7j#!#k%Xo(}sI)F5bsFuOmsM^m}^YciJDG{~NEA6R13=kRDReM=${G2aW&p%`ve6 z)R7ZLM@~|A-u#&Ina_WZXK*M$V|rOu*fAxcyhGE4$NDGN8+W0l2V8D+64tcDH!Fv&s<1T>o&tZQ~7f^KMT62`uhvxnGA7v@p`mh%FYvOO0KsVO!N*A=Xer@4t zs379Rn=Dl0JN84B1Q3qmV;LS&v5&u5C<3iEJ$`rK7mFzAZ54WUtm&BpWzVBTIF)4r z?UctO?K_UN4<2bBqF^po!E6Y165rR2T%kL>KSXm+4ztaZ*zh)i{h|yRrx_)dSmV=_ zKt=*rzsX2o^TY)*6|^A%3>1iE{rN5Uo0Px#^IPbo4ySR15J=vF5sT5&5a2e+3k{-S zhPevcm2B2ZhQ~~x#xEBOHh~&H|5>ParUv^{IsxBiAcQC2jgN$&q)HiEfq8FNutqF> z%=4u3W2$uNc38zBnj}IhFNW?7kS)M4cFYalPgq6`ztJ!XX3A9+Hfa0gNC@E3_3i@- zyHf9_z_*Y%mh0UOVU=G+?+S}5^ltYPq25sfNTt#x+J8|v!6n*Lqa+Bv1oh2otq@QG zmqfYC>du~T;d^n(uLgqwSq4U6bL_Q^FwKG|CpcZ};d=PryF%~1q4)mK`#|V@Tj+g9 z=zS3H!L4r4RuA!8t+)}Dr#*2%L*LTd?4v~-I!*K9E91agl^qlwE+4{C6FI8)*={|X z*I(ov4ak!_m$eKwxb-0zCSRf8@i#eK%1BT@bP$P=&e?|%`!H%BxU3~*A{KCL)&QE^ zVP3jo=;&~o8hqL|tw!&b8{Ez72oVE}hEf=4oMo{A*_6doRMp0^Rma_`cq*x?Cx!T} zMDD$g>Q0ML;`m+0k!J-01Z zJQwU~e>L$W@1^@|g!MkA6&slEmj&qS4?-^M;&58JhrLG)5o&!-_EK}0#+Ii0fs|Xy z=oHjQ_HqEQ6kvu*F~`E9mSHK#ZK#ydKLU%ohovB*p;AUGNhxY1mKrZ9WptI4+Ga}S zOG+`v;zjL6SfE>|MdsjGn$KotJLrQAxoS4AZ$?!?v(tZ+TgN)3 zJH>leqp+nzDLP&}%VZgaW1+5)!w>24;&H+dG%#-Pp%m414WbKvqjmd4Kh;KP#UGxy zJ(f>ToYsJzct3vWiTC2S5x-sdZNhO+v2sp&As%V>LayF$`T&}M1sT&HIg)204CXdM zGv7D20NQW^Px0ZbCPE9WShz>N%_c4AQE7Pk(83)siOs+edlek)S)lh1_xebC*OB(# zBkld354nc*;Zp-Vh(JaT;49)dHONDQomW9b_1^bDz+n)<18U8@UJB!dT)X6w4e2`a zXN0q*UhBjkpUmQr;zUjHQ=}cbvnV~0xa+Gp!iv6HEO5SkruGP=LKY$wa>ub702&Y^ zK#3P1M=rWJQ2Z$Y;>bNxYDN)WG31S|svQG>7rFrOfOWaVW`10)_}%_U{I%aDxZuJV z+=(VsI|bj7phL#%V{E)-2d)HQzav2^N#Om+br^y@z{#a^E`WYsgAl73?Q40?6f6aX zGNbJLgj{t(!tPDnwG@3putX>{Zagd&8eg<`@lwf1$$pb`d-f@Cfs&JzKovCn}A$G0kUOPq}MjFapexiHzUNGFd_o2Yd zg1)=&6bMv|+?M36J%bq-6;u2H>^zxt*zRQepk3LpLN*E}DF?ziNy#B=!#NFQ>(skB z?kdUQP6PsjSQPfUKzYfGrwhhWog0WIGuQk81A(_@pbOaeRP(5F;#s32kJxo5w=B6_ zWDnR!oKguc<{(~)Au&bvmefGTB!}Kqtn)>T9{c4sC-smW28awqLk_7fGK)Zm6I)&b zITX$6+X7B8&35bnqqZRy3^{1-2cvosmFXHz^Tr-mu@TBZKxJoQFXU@#x8|KaHQp^+QF&5Q9;OL3&qB@r?d(O$amc_fZaD81_LObf%z8!95+Pb02Z z(2rrtHOTG|uq52?r1$?3L?7(#*dM!fMzN2-iB04`dbdB&I=JqmX`+wv7cOIIm+1Xu zL@prssJ?4)dT7JD>FxUasF(>(<+=|!AzjLLf2jDcKt76f`wi>Jm>d|B6UJcSj*Q_I zw0=y$O;Hp33U5aNLIlDaVUbE88-1waUV(4p(;z+;5dA4wr*fhX(|^G5?SSFi0r2gI zr~*U}1p3is`XL`jOKkc_Fb0@5Ik$yD6z~daRaxtu?gBn5=n}4p@*ktY8grFbBQh_yTKt+0hveGo z!LVAkx?(a)yJ@D_`aD&FI9)LHg_&XigSb(U*t^|Odq%tMHrj1BwA)i400cAW3^Ym| zT$yJ4fT-LW+-(`E1~Onk@1%+f*1#AN>)(ELIHz86x~FEWJw2S&B+y`8kdaOAFTT74 zO)W8EN{pz+qZ^?dNNm9#T{S`@=>Kqfl-%v^K)1KNNWNts&f>nHM3VOYk>N&B8``TZkUTjd``U{DL3#wP8O-~Lk1k`*mPdQYRK2YeLNsAWr zX?$pv8gW$&r6e!IlkArnR3M>TVl7_9wC3@6V3s!c;F41!zWFpK~fn6KfA_QSK zd+1selrNtraT;^%Rh(^!U+LGf z@1vGA-X=NfMG^!KMEHP-8qmWI6rkHh;{n_JuAYO7g>4bKna|wmW`e|S9GS8N7fXT#UKDAJv_cd~LVblz zB5%Ro=M18l9UO{nd{vk@Bg}5arDp!X&L{&rkOH~mW!j-H6xP%S!R59BEg zrZgf@QVk*^v8wVov1OT)@EckYsA)`?ku4y&n{h@zk?4{@XaYpym%4)#5*#s?j7Hz$ z7z~(!F37-;@tW)Wf;joUh#10_kgE7RsP%c6I_?>dXHn@8YfjNk#aSZsNv>LM&Ep!$ z#J8XiaUmkEv>Qda?B2}vKlowudy|n>pA2AO^4DEL1#7^ z881c5G!F^Ozr#@^0I{#tI_QULZtpmBbh3kqEsAw`q+85s-;PJxvt{(k3ZYM8wZ?9vHVk~VJ>$PYq z=`yW-uk^PBt1(e<37d`%L~Zaiy0=Sv9+rV9oT zBnZ*-AsE2YJ~vpYK@CuGIDg%JQEWh1F2vkX%LchoO?zqCaL1RVm&XAnwmR2Fk^j*u zQ2FVuzaEu8e$hh(NLGnT6R3hvv_!v)YpjO0L(<3QB6|-W8Of4o@P9b}+fRG^`ISCn zC>Un6KN<s9zcgg4(GQ4gnwTEF7x7&HP&%(=oIJUu>{@BweR?ySLx;o z=3;{Zb{Xj2i=`vXy-9N0c-*~H&b;UH_kaDlBYe%t(0~x2T&+|z>)^?GZbjBITbtcz9EmE9{Ub>;Jt8|X^$-^zDI z*7%e2)=RC*T><7RTBR%R)HaZij9;qQROm(vm@(pg$JO)4B{sbd6B9n%xl|r%ZaD$rhQy{9;H_|>PFl#X)It>o0<*T4-W{AcqA2>aLRjr6;#`Ha1hOy|oa>8|pMm@2_1h^oQWo$xdK! zE}3crpgcv2dt`I@Rj?tfFa(-uLA=FZgPJHOqNn9jD5rvmJyj^XN3p9*wH5faZ&Z@a z8FR*#vCS3ONtB#($UJMk6}r!eFu{+d!jmVZ#8U7i`H~;uS@Tv2ktuwh+d>2Yhl#zI z-&|kpA10`*Lat*>M%6UMQ$!uq7bMP&k6w99Y|U)Gjup;Dv)rO1dnMP%*BJf<*@YJ( zy}M&qO!oWe7RX%TDjjv`B#$5M3JzsK)i;RGk<(7(1h#0wrAFuYoWk=Yp7UrQEuWk2 zy@eY~`I_gxp`~d6Wtv#mF#87OGgqXU!wVcH5?gj-9v)QC6XLLv07lJtl&7MZ%)~iAKpy>o zyc6SemccGN1dtr#A|;9p=MO-YqZmAQe7mBgT&mVB_+>2^4KI~+%XOD62jsdMfSFsg zO^b@p+f00d3*>py=~{-Wa9)nLrJmd>m`m;B;$DsVV-aQdNh()@YS+74rk-#oX|O z#MTXDc$$w*f~GwZha~W~r&;{|a{!OpvQ=bbw(WsJJm`mLYL-AOUq$pcv%x^Q8sCg( zMQ8>*Sb9kB+hc=}b?i2NLM_ z^u?35&3a*DRGW5EUjcJ%w9xN%)?Y^%c~re6-g%JBlFBmt-tcJZZ%_f*Do_eJm{lMTM}yFYy||_0@SEqQ~0G3~jJ7Gs-le zlqfPk^%??p z(+xEvs<=a#){hG9y$RHC9p z4;~}pAs#^^&@!#16R<~vq69<^FroedNiGT<)Qq4jwDx$;cBFxR?c=lJy2JxbVV z{G1%VB}u3iZo1qX_Qv65(WU(m{qC~pAG{aQX3cEa2-fU{$>G?V@p2P{?vKIHfddpf z2-Z;M{4*?I9;QKdl!Z?}C!?%+G#9Xxh@3NIy3gAQmtk5Zn(big4!gSn6Ye@3#ziqh zdISN*=L@%G#4cc?2x`hOgiV&kI6p>0To=K78Ach4IjxE=I#sN2s>X6SPX`fq84hF_ z1B&J*{E?G$^i&Y*xdvM}i-!(8GD6QaVUMbauujh01>$QozCsr5aiSVv%c1Lw{O4k8 zZex`=NOI^2@gbHj3-Z$?g-e#NZkAs56_E&E*QN*IcMz8g!!KwLMa@I3qEIg_G%(SbOb@ z8aaAV?93PFZ9$;%3H4L;e$9AUfCcj@@pE!sMFvYj5IY%1X#yz_AWkheQ-nm3 zM9j46BBlKiA}%kQ7`%)ELu{Fj1(0H_V(f+Po5SM95Msw=S?Osd^7b!>oxw}d_xj8G zUO)QYFmm^MO$L^;0gZ(VDWg}gNy>|@<~{|+fULwy6G$!Rw3v*Q)+WWv@F#lIDbgz> z1%@&aM#PmT1xQ~QbS1aOcvv>XIyvb_C&k$ZKF1Bu8cq%sGPn`|gj#=>T&i*PUE*AX z`^ubVjNQNo%K-<%*^{*d+mj#B1oXm30wtr2#o%r{+L;oX+4q1T1m|`=cFQ0RWC0^7 z>4TLN6R>M1M}=C*ap56Y*CIV0rAv<|*&)ViG=HK;OY zCeyi%P0t?6CZY^MWXxr;B*SZX6fIoCSREXcY||Rr$`jG6lcfN~f8OOeL*H^XS zQ9uq;#?^Wp(u+qLpb+w5VDY-z3O*YYE}jq(Hs7CWnt1bfw0{#z~{17R@!<(k|o69j{$PE$EFTwkM4Ba>hiIp z+fyCrbaeW&P5q2i@tgy`M!jw)#+kg&Nh&Q7c~JLI=%?q zRI@_?p=J%9>WqOq>PIH!lBg**7Os0V+z&3{#gA@N*Y zp8>9T?XgmNoW=y!LazTUScT}l50&V;uklm>zM}`=8>Iru4oF|U-CLxTvjbLk##so8 zjMu)Nkcx>UAXZxswM!1DW%kT%G8EN5BXHXAgUpS4Bs_n6^dHAtEOlf-d=dXdzi0AT z?z7ZrkB8`7ito9ycq*sBQS-V;@gEqah@aHep9NseeJ&Oy;?eUZa~Y9G7$T4Ga6{`7 zNr1?YJ4EJ)ZEpdOFB(7*u%(wQHsD&;z5>p&;)?)o`Ut*iza}YY4$IDA0~3$_LXrr3 zwweqhUecpTG6fMn`Xl`w0x0XI2Hm}yA2ya&a@5P->tT-9UlYtqbCMH+7W_Y3R(~m0 z1uyG`3eGA@$>#*KYst-u-z#|x*|par)S|r+xm!4tEs^2D9}xNoThNATL50jb^Uog; z^#hbLlVOb{r{ECzj@N!vU}U1v!S*MnKG6dre`TtjYqsU8z1LIiR4({WSH&H!#s*@& zt^kR~64G?f5?ZmF8uas$qgP$-1>3|vI{!H7S*4_&$^|6) zT#RKHB=SPh@&%Z54PtDezUrmC$RrDwmkBs-|7)*(2DFed%m5Z78i)v&&b8M*8cJzY zka%>SkY9&)pw-#Ig?SmeR0Ry1=#-!ug-qx0pM&QFd{>!=@MCZY;x^NB%}Lpzz`9=88wLAnJdk)sr8?9 zG9xm2w0vVQxihyq*D5;%juHfFj#6rYX&A6Qh(r~ zQ8cWj9x{2Ud;K>{y~FZj0wJj}Rf2r%rJ&L8EFgjNlDVsRBT@7#_A|D6gXs+z;FeH4 z%mqaV#cQts7=-}kh&tAGT8kMrfu)@&z8sY3Ze;zB_r9fBCZG_ssL{oCW3(a7ARn% zeeUXjiKd(1NF}D-P%`O7G!c{{;1c$puxpRaIDgM&7-Go7&!eY^#BhSgsk>_OR2(xkL zh@g<2BRJ6!#4)ZLT;LDb8o+JhA&}fT63k=E4d*fOaT*^KWK^f0O%R5&WomjHZlhq? z7C%@DJR-ycrYZ3&%Om7{cen6f%CYGvPaK*|H*F)gafRUl2g^LLGafA6FUw?TeU1Q-K?yxal?&`D`p^1bQ2J1*@q)!N-Xy|NKY@H z*d2LgKx>%87U{OFg2;N|3@P+E;Ka{xDm`o#LBc)<8h`h2L(x+hN`PS;JV+%BDhN)X*!TqTXk~6wm2Osv z1PC0)bnFds3Ox*kmOiZrO^XJ~ivHt$B0VIkB2G5e(||E3w2534rit8XgYG1PKN*>P z?=fVX_8ObRUFj)z0f7!R#}X84(bd{GPn9)J5|nA<9D`8ndC18wBtzeR<X7RMFU~F_uLNMRM4awuOOxuZDD=A$sQZg+1*6^s@R4d6|GyM zOv08x0!5QT0GZ$7^vQ$RH97ZTdo)QI<*f+$R~yKPgqc*TRM^2`daUcS-cVp9-j^FH zAv6@FnQ{Uu{4^9@qw!`5R4KQEh)L28;N}vVZ2yUe`m#vgo%7hobQzCa2?4nXLP@eA zH~I#Sg2q-;_VW?LO9NuVeuKu+!b9*Ma80I=Xkla>Slm|y8nMiUkv|m>5DzIXRr^2+jcwp!srpx z^;88KePR1ldHX5@{k95<1+-A~GY6OH3m3?ht1_`-{sWO;@rRPVoUE&E#tIOPIj32v zI^Cx)AWODdl`>b(;+09UWp?~dsuWOz`U?*t2XLN6e$Ta{xc%%db3@8fbZPy&6m#_9 zMwTEe>g9c1X)af9FJKR_spa-b@%mj@s8BJJdkXvrRmhbC+k4BT76ojl{mZL7HDsZ)k!C{{N~FF7_@%No$4EN^qaNOB-7D@Ins@nxA@;j;o>W=qKi0MQ-$9pFtY zEA+tVLvus{&;e`-sF{Lx0tne!0i((Ne?gxvS9}FEso8q}Ka>7%R($RR);Wo6T`Hpx z{~;Z}CqIFVKEmxL)DfE;`S7dzZ>*duy6 zY5D2ClQQrTB-3qYwBMu*3^;Ea;2Yo-D)3{G9BiV?7Y=NbI~L^roElv6Q2aR(@pZwq zJ6n(=@U%r~8q(zAPB-PVtrMjTe)KNNh}J?WR$ee6pKcm2Y7-NUR?&{c?&zv45jOQaA$0dan3BDQDI zY!bKzv}d(~h@y62urlQNK7gTTxvKP`ObRDoH{sdVL^~HtBO|dnn zW5Qx>4(q#5w5|5`@y7ejUHSEaE586l_UTh6Q$xeyKx?6 zXJP$jQ~JcSCxsFh6IbHQM5h7Jpp09?1G*#n?B47ld}!4$0@r1M4_^cyY$NWi6GxH+ zlW%f`IEHe@umv;SbF(%*3Johjv3?~WdjstK%R?Ac3V_}kX4ckfXdr#Q4xwt??{0$S6hoNHM&xap zur{I|HX(V?Q4eXARAdabS9YdpC+SO8eqh#b%vA9fD%*jeQ6Mk~ zk+8u`M_-*Bmo-~sx*N0$jNlAz0>OuX2U-vNs`G{GmPwxBe8-toC`_PDkWVad!U->o zE-2~g<|fw&u_vn1ZMh3l89ih|&G^0?p#Am2QT;M%mYhS{5I6alYZ4%O3lN)2$;Fab z9L^Ua=cuY;_=3w2=Gqw#{xGxF;msC~Y)^HrdMeU(4dT(28oF|=d*W2Z2wuq~BqhaM zixE>UjY1T=$x-|!M`Tfky=yenaWWXuIsR4~hs9Cli|AUS2S_EH-@RBUprbnUUgP`D z4lRNuxUPzed?sa-VU2zK$1H!dB4oqomnciTc1BI%u*nMV03j#i8_yz1&mjfpOxU*I zNL=7D%}eDsZFsGh5#gSzQPa$0rWx>?Sen9>r_3iMzrtQ-&Qg1&?}jGPmerE~d5JAq z5#WH!u0-IC7M};VWbL-BAixDsodn2GRQx=td|B4BOx-9yqv+l8sZ|`xbj+Pa2E@A7 zpo$J432Z_Qui@)rMA@Xj3Et0WFf^5PtODa#f6g+#0HFm#X@3Y~ZUVPWR&2hK>v+df zq0(Dt8Hi>FqS;iBBF~KlA@O+`O&##!#vwlAz%x!kn4^6|!ZpGwjeq1*;R6s&$cFBZ zRUPeV{#p_5Yq0GOyGrZ;}$oV@;-bYQs|u$q!2YFNU_@{f&>kLHf=!T$S~qrr`p1%5~yqD3=uEZOQ=QE zNW|?~oD>xhF0V>sGJ+jE-O#oaVrv*vN+8ml7xMr1ZKguU zs$6v&%?o5LvmBzSS;oBh7wvilv2&{1KC1XzAn_c_M^$&6@o`ktHyZ73OH7&Y243YN z0Jn42X1F=`y@oLx@|6EbD%l8i%=jwE*j{;5!k z3Z!B&)Rf*3X7tG0t-DZlEvOpguscM%Qv#l)Pm?957AxPm!k1abANsU(ft=Qob>cR_ zq1a8lq|y6qjTU*wkcT98!`IAbKEm1+IRJo&9oqH?5Wx&;M9a=SQU|2-qSx2K{@$0N zl?b)fdx)=`p;^ds;M=K<_d21G(O;Bm$Kv=J>=S(A;yt-#^F+wJQ-7y>qIWKbu=OIn z7YqhGer?Ab(l28ZPyq2?hH(5QX5$T{YK>coF=8n7<@A*qSsBd*U7}X@Z&f%QP?y?gf9BdCSDzRlu5LhR*9{#z2I#(hFolLk0EO!fk5451IXKKF zhc9AlwmN+Jqt=gw0mSDM7jeyw6iDYN(r_I{BFutO-qc_#^!5Z3#B!O)wz>8&M4Bn4 z#&ar3%2Sz@ihV4V9uqM=NPnszaLbzjVuTkBx**d=iu}F#SDi}lmSq8^c3{Cy5WL{! zPn$ZR9lDXR8}+5Ec6-_ZQp+!+9dh~PU0@nIJGWRzia&;$0syk4mihPX*+YHiI0Gt1 zPf{c7kWcm!hs1(~eVwcN@FvB@J}R)L&*|mmd&Gtn<8<)9bJab_oKT4$u)U#4 zzd?LRDAWZ#g8WEpuJPMIFTkVXk|`U9i%JmUj`-EP9Ct)TDE4{E&48AHE21|*N3+;& z>hFy@zx>)qtp3*NKE)y~xt7;}vV+E$E0E(7C&w7lz}7ji24_=epfBT~52#NTF5eM6 zW&;@zzH{6lFuGCmY&{qV2LNw)3&U3P-T-zeaU$lRwiaM2(^dvIt&N^oq?`F3Jd%{; zhdy!8M}O8g#79PlQm_3fl}2A0uT7<&NNxE0@qE7c;^B^uRz;YK54oJ+jGENKVXuJB zRlT@n{*zu4nqJZ8`6zW5-(hp|w(8P!{GF!NZ0Jtjju0C}B*@>`qphy`n@!UXuwfWY z;L8fm#;L{=V4|B+-L`kfs@tmDcJEkq`!rfjeE{rMYx0gy{`0Na50keYoxHtG4gh0R zn3wFoDo!42IJWxB%72g(uE56F`sD3tj;fVt_0Bvhg*&w!2;V@zDc>3W?{2ozLtjMt z#1_(*=`b_MSvYo-S)??JL#AOdHNjm~_BNI~ssN7;v)97p9kDe>VTW)gc~@ZiK>Kv) zf(mXIGx~d4VHB9~ABMDE7J;yc1mmpzfbeo_Km5~NhF&oF;;GpETuY$316&F=!Eovz zn1z@+^XBPxZfP7&!8O0C1|jG{v6ER$)7#0CRiBMjY6w;^( z%M+m=^iI>l3Lc8lI~zuJFv>3~QTS84PNEJQighkTu@bFD1U4ieYRQ~U%`_@jlaSqH z5>hFiJs>T3RNgBPTNYmeFD#67Eb6umNEq=GVD>2&94st9$MvuRk&aoEV_FAY?+esn z3^@8y&|dHZknWdLv4e-CtmVW-40?cI4}8iU!qHcvoE~v0cy2D$TiRXV@Tc}!Nnm}L zfTq?9{@c-qwTy+y@l|xIp+Me@&qjes=smr`mqm~Yy$*Bbf!LZ?;Wvhwa2Me=>0q61 z>i}RkihvSv25bz`eP9rz=`N9`G{;r*&?f)^%%S=&BUO_O)wtY&{3j{iID5N_)u1=5 zsj(hg^KJ#sO)%g>#AKkT2@SX+gCn+yMzo1WxFq|9>8_YjVroAwQ53TQOu0xJViR%7 z)$odUE2(oh)X5{<#462p<&g$7B~moZmW|!;I9Oz|(0@nQwMRzmhVPnGFe{!}+z&t* zw~eRw4=1VSrM?0`m!p?rRsxMMBvvCdmmDG(19_>GjQ3W=M-jy(WGvQN@-E+B;_S&S z)--y@w19ZY5Tm(}TDwA09T^)i72))r_Xa$vZkA*tIdo z#gKbfY|Uq6$n7g1a_Ph;M$kGczt;LL;0ym{&P)~pibWePjU$M83PvtdIe*7Eb^fO@%XElG0TCJR7H&+%PTOcQn%EJDm5Cie1C2!5YJf$` zQmkSF;H3k$B-)psVgjRLGIXy05Qok{)ORr^gZ{%60Sp29K4=LL2P}Z$RP1z1hL*$! zd#}BvRMn$dz?(x*6M@g64Kx;StDyLxLu7U;y-wb`Pd}(n_sE3}sNw+LM3MySAQ|)` z>@0|y!di>qMq())!qhs^Z@yI>VM<@=11K74);0zV7CagxC&m|fb%~w%`;tK~m+33* zWHI+KK%=tns+bpyt)2lVbqKFDuuzs`V3}X=3=UC&fzFx-llMZ7@tvW!eEBiPUc$PvXuLWH8;d~&snQGZc=P7(mN z+9|tyB95-!4WLn0jmvD{4%B?`?%b~^J~SNt#@()Kh1L=nYtHvqg3$B*Z&m}dx!R~A z6w0sNBv6M9>8*4>#8+u4XsZN2#d5EjLb-KR0=f|?rL{+G;$9Tnx~If*c5>)8*~64f z;^cJl=FU|&N7`HQO-{FDk~ce?o=PiEkfUPr#(BkxI?j4ZG9vSvm%)HML#%PHnLS~) zMF}xZ^7}cX9ph)etz9#t`t++V(QKl5KNBWi#NS7=%%->4^rcJ(CNT;_Kx{EeQ)-z3 z3Z*YI>51jEG{!D}m-k%~6L?I&>k`W?qLoA>wMCI3Y%8IvIwAIe#pDYPnbom1RWS1K zJ&0@_G;Uc=|K%JSy(le;Y(P|;x_rZ|drKq;TOSH+|5W=w(j=F%g7&Y`A!eu^P4OSr1nQ?+Pek=L|qd*SqrX zPS>jlMTrYWQ6QUTzp;;ErQM>F+_*A1~pzjHjS z&ZyP{9tqsPK}ULKvA7nEzu_3Jd=Ib)$_QtR%mh6nww^SmYrQbBfJC-5eg>Rw?kUtv z;#fSI%bhZ@HBSmc*{(qLoV$pb`&pEpyVq_!W-u;wC#A+$>e^Ol*aSewDQ5h|QTtS; zjo0d3x*0nwuzJ{ftaV*r_JU%fKfuf6V5tZH3DkRDIjY*Lh zxx%5CVY?MLfPsI=EPrZCudy`y+<^i6H6n%0 z9@tFDsDt%jNpA7@z6&&};g#DG!k3))k>|4jt~Che^&OQXt1XPSs9c~P%z2zg(p5p zuh6ShM+H$wueN{7^$pvF-9Z?olt28^mw;cZQSivskPPCV#$Ti$m2Qh6kE)>CViX{w zs9$)van(iDdW^HrB1cNm>wpb{!HjU6no z?jQody%d6~Ndv%A`ml|g2#=>$EMTMHqT5PvHF~%hV6)*D1YwF`tCrmhyZVL@Et}8G zMDq;@IAtG}>@=u*zIP4?=sP$EhGJ{h@B-eRvUTNV`t7g~@2d#4=275e+fAiqGKsV8 zjwj9}g?onjcuQOa6EZ%GzWPg(oTx!7;9z>ohN79Du^i}#(7JWtS`LB;gE7DGSLMY7 zG3S8wGSoqlgOmEMSn=PrqfUX7!WGsCtst_~z8UDq zmIeAN7Y&dtteVlkuO4YxVt4IquQ{Z(SXPg=fLc@1>=d(!IYnNCgT5@-acTq#2enC}2GcRg;v5`Y=~=J~?^g9rv&s|`)KM7gs>5AEul@rO z-Oyq%lh$&2SMJzGsu-I7;@1F58}RNr9>f>Y%)UbS+3r9qQC$sWI#N(v>0~cIKt{Cm zay1&HuA>Ig#x&yPJUVM+M;pj@v>?qQFi9QbiV&-n4Rq$v%<4{M>hA$MHs3~XtK0tM zmXyq;uQdF5^1&^Jn9p(T97OS}N|HKsTX*qlofx5}`NI7t3JM9of&m$M`qgh_HWq*V zXj&b2bgsH1(oXS3{hJ%@HEVKyjk0W(L>9sB;{xBoD4{qDfAYy5R#3LjFehR0%e??S z)^#$3?r-cCwjkJDV^e8RfRokWBKD^CQ1A6;xYpg%{%^)F56Z=lu&qY=v%EhzWajF~ zN`)cgspaN->^weG18f~)JGySYpB=6|Wdk1klHY*Fp-KXg)X|4pp}oYnxZ*^=JR)@f zU`!lgVxrr|d~AplmJc6C?)H^pHsVo@(8^`S10kTYdb8v1WN#}c>Pk48mo2|=W9$~H zUF^QVU+fs^i?m{)jus>(Q%c&5#zo$6^p(eTyC9jgc&O#j-0f=kZ-*6ftgenN-9sg%ylWcd1lY zh3j+31F7L22^A`uqi7^)3&b~s;?XHvAR>~dF`Q=NYl885-YX=6-F~x+0$^Vs1zi-o zVd7y#!9+-ZXT%sHkZ2k(-E%BB$^H~tI{J8%yL3ba+5+7rQ#*75C@I#!pVF~Bd>OSg zqF=^SHEP$CE<;gBK~BCp@qq1h@_qrB&IHa0-K)vV=Y$0SLJv3Sk`h95FulYS?wI5w ztvE)4UwG21v?QcrPuix=Rhy=@#_@ML9*A7EX@^+Xv&sZeZ5*lY73_F)BG$#}4NBrF z9F^cXFmPD%Xo{Xs`U^WZrc!APWltCWaVWa1IQzhXMvQ`~^fRgK{MFm45y}%$q;OzD zbz3UiBM`zvQ5<_8FDWFICnWYoA(hC=M{w{vQlc`hoQ#*HB7>-Qq|_iqmiF+Maq!p$ zmT|6wr6x%gjWsp^4Qtd8zt*s3o$+Pbl}|~b1ax$@wttV_n@?_G6yT7Pt2)-`wjOWV zQZ%JU=$?(O`Hs%bCj;hM&vTuto&)qWZAiF|pmp&&&nw$6N;V^$33@;~Y+GJu=3S>$ zGdY>)IWj~P5J)7@P4P0OZcf-j&Q6{glE`(R2}<5hW)zr;lV*~DlIa|9O72{>1-lV0 z(}9z$LpK=-8Y-6Eb`p%IUQD}y4@SzpcX!a`x|6(56Z2wjKxk`?u@PS2lK_>$C#q*bQc**Z%!1JPS4eQS;2v1Z96XpWtS1vJSz$U>;*@#3J4&hxTfN)`Q4{ zz;6LV2syVFx!|hON05KHP8h>_PWsP^( zqFdPZ@K7vFZfXCORmZpbsug|F>S0xW;S1-+SXmiH$ykIij6Q`B%7oGkUdiG`ds7`T zZ=j`g=BnxD__LnkG$s&P3XJAhaUiJ%b48wNRvZ*R>OPsQkk=#Dt-=(Lr%uTm(Dv$~ zFcY@7-b(|PUYb#8Mf_|DYDGQCrqi}lSq4}N<3CJ^JtTF|1R%7jY9Ias4QQRM3%wO^ znF@!?INLis-49GP6O;lEjw}mpl!J(sNTqMO{ut1KWucAkb&Y`vflBcxp)8qu^s!8X z8!t=9HX814sDEjz!6a)4V7X)ic%4ibA^t9S?M4MRU4SfriHUJby2%L@3aIU=l%r01 z`vBT8-Apkbu$^6HWf^pUZ6TT9(b*rnflf>St0gepZX2_vvap65z~gxcUZl^*`;?0} zDD5b_VvCq~;C11x!7jcs&^%ML=ck}OUB@P@>N4d}u0*LT$ZX##gGIfGnzHyFwFr>P zDXn{o({*Fnv&O;o$=?G5G@*H9Y?BlK^?K;OVvmlB9@yj>Ph`_}N=h}^4$aQY$?w_H ztrtOIXvd-68AY1c(Z_5@mlSjgLQkQbTYcEr9)1}CQ0l!OmJJH-6$5qPVb*WA1X6~CsmulenS>gyT zhk!AWfd!32!2f|cZx28McOWm@-<|D2EE9H2$Cx#QF)N207=76V@M~uWm=A0fIb6a% zE0=zn11)#%<2(1pRWr;>j{DmP#$&5F)&m=4L^>zxPRGtxSK@-LR|!H|@8D6V^(sP{ zWYT!SE4JOciFo%+OiG7YyovMn$I z#1kt`K%Y#5ZjV0uyXwg0vn!|TV%8uaz$7tgh(wmLqo0*n?e|zT(v79x_f!^7ocK-v zr%CX*+6{!tLhQ1O2a!U#TQ!=I>n{4~j;AA1?)~5AFi}^iPZ%33G^~oz-@a-#l6d!g zQe6e=%UVFO$l8~v7o8;>J>3O)(p3NoadL=jvFm?J2|81dLZZV&#Q|7*FJO>U zrg$qpY~^rBuO(iKL}ltB0v4~mTEV6C3Mh$6>@W*3JH%FLS!4{wpY8c3dqGqU>sAgF zQlOO}qziugIj0L&gfe{zWl0z8VVQo_#U>#G>(8;6M1g{_(ggwT+ayEUV};-I6x?({ zvY-!`jZNZpK{v-6zY$V{IkXG*Wfni6U9ivXg0dTSSh^tGD96)jC|kV(D)fN8Ln@SO zHfr|E%t|_-KZJuvcx}huya0{O!>?>BWXc!5bclE9Nbzdbl*nRcj5D3pBmb zT}hMFpvE&F(72qJ$p(r=V@7~Bte7qFG&f{#_3UR&8_N!)g2c0DkE8SfN*=*6E@65{ zj~b)6d?bsfRz^=WJ}fwlp15WxtbaNEEkOT{LjST=3*PX^(nf)r6$5si zSW2OKV7pk71~<8M9pPc!hEvcp6r8+sv%lh1h_1mJ-#1MG)lM%>~w6?NQE zJ%ZO7Iy!pXZ2OyRVwDS-n(XKM5c7G{=iTvz`sNFrvt^&8K~6LP;-M!xl(=z7pmsu8 zC3&ecxRZc}Z$E&XF$uIszdm9{l6>+JpptnATP|n%ibx=985*YuQvkY=z?#;G$t7!A z_Ib~}10&Ex&wIY?bt#B=0Eo>A%4u=Cu4>of_U&MpBRZ@uN5f;|7T!$O1-Rkjt*D+! zO|3+YxXB+rKYD=C-W)oD#j=XSrE_hT<&s7Fl{sfXfvc1?j;wNYNEo*aP>_B5pv&hD z)Q3W#H~p76FjfQ#mku+`!Z^r1^J^XCSf$Ywa0&95vgy7YW&&B!gzT*?@VQi`4glN? zf4xDGkwr;et{F-9aD{TBjNkxY8Ij4B>@llUd7C>-7plbBpYwj*keJJZG`RXj+vELG z-kC#2Q~tD@y_cUuS}A?xB>K{?WI#8TM4d<*&Qt`vKvWa3pv8{`Myk7)?NPS9iK#WL zG85gs25eqvBBUJ+dmpw&+Am{9)#+Pa}n75&>U zt0S_m@pD;BC|nBZP*A&YflA22#RYJ^ls@0Nst{@aj42d7qTm$j^$1-Z8A+8Fmk$+3 ze@^A%{(6915)f(syeSN$);6cGvQaBkLvF3Olr_8~ROHPQ7I{62bhbBoi(nvt7WI() z+PM%0QtC3h0%i`oSgZFI)j7!W-&p!$2SPD)w1<1xyl5M$r7yByf>3PrY%NiTZJxf; zVLPWdDlB_pp-iFRYMa)&GgrY@vtJi~u00U6Q{`2B(VX(!G!b>SgBBD3dX1-&0&6m; z6{3TOzbX=n9ZK*87cfL;JvBj1B$LJo#B>6oC=(%7rOx~P4nn53#6a3i!Sbou+tN|Vwt8^(gJ3L`XJ<5&q*%-x!S?deeE2b%Ihp!{sxiM zPyJ}9`eKl(9b#QH2`4UhUi7t}LHo?$!r7k@YK04eWrf?xpa`^T_%b}7XS`w1@8vS( zH$8l|bQP2_B*XM0?M;TZKsy0*X7M8y18Qe-p9YiE%bROIu~J@ekn`Hw!%!O@!5{-S zXBOwmu|*VHIcII3J=u%_DCV7Y-G||k?L@y)nlTT7S<)x#a1R7KEGHs(frxe-Y==6y zb_25!TAsAnoE3oD)BnRvlyn6E8OEs;6Ew+IEHa;o1X(f1fGUa|2O%SoQnLj~5v0li z8OE$bKn@**E{K$PnE`Pp1oG)EhOeNV>qA!Xv-qd6X~gFV^jQ<7$$; zG?S}AG>%{@rSKCnf!x)g<3LMvDaatZ3V zFzQ@|(2YOV(Dc@Q@jX3u<9GDCI<|TYyhhx#)~kwlAaa5-Y8cNtQMT%@enMnR_HL}0 ziR%R^hQ*H~J6Q;)i#iV|jNEvS6$;@hAt|Xvo<~C%%gK?VaZ*>RaInxFDi-YSlt5;T+X4w2yJ=kO8^xFT!gfNZ9Rv}!cAx{W-djV1)gj>-lB7`f7 zy@;F=yZ)B<+2so%?-P-xflVyhkmoO27KH@x2tb*pEjCWIz^;k~7Ogy4IZqAUMF0a?Rc0p@L=sVY+k$x4W}mZ@3nB-@^kOK6%Htt)2Cf1p z((49a!{({$tv9`xZ2h*4ULia0Dus+FQT&Ot zMT>pX*j@aL{V;OuS+TC`NM1%_QknYRE2dd0_udIMVAmEvcCO>!NUWQO!ZH$-7ScM` zk-)uUtGOXLqfv!DIQzQsC>CT0&UBG|sch{TLLRrkiyytPCyFT60&;U#o+T*0J+IwG z1AD}>8$ez0G4@a?>fLrfu~&m*Vyk&@!`1*BiL=qaY#^qoqW=FE^{>$OsNQ`iPX$U4?Z zRaZF(x((}0s2w(f}R z%+;XV;LZ0BPdQ7r8Hz~>%GQ2VXz)A09%$1}DZHw49Z9N=t+@>S-R3|QXj|GU9Ac_) z2F1>=<+~h^cNvhwe2`PKwN;2cH5;vFVzyp>(oZ7v=6XiVf1N+JQ+7oyf5?V-$;APr>Z3*DPCuDZX}^jR;7nV{pllY48N<)1A5#EuIU%$BMsnqR>#A& zBnu^|ILyC8a+)FLN7YjlqJ~g;?Z_AwqUlzMaAlNNV5pDY_^=AmztskW$kjw|8jy?w z(z&e$a&sbxI0L^YnctHueWO4B1Q;N9j}cL}en{|9?hciR`5Ps|aNt3x{#56tCe?Y6 zkVtU>W-5M*Btm_9Dze9Q#*$hr>|c=JsY)B=gUX>11Q_MeL*?LqT3tbB$544RX5w|( z@t55mk%9ppkG_hDoBBuMwPO;->3p8Iro`q7zs0cZW9w#_n5|$^v*ZOt8?q9!5nibz z^3d|xaDFs~i9pmd$Ts3+i%%`v>&OPv*(HOtFHXCjm0d+CFKOtM*nf z=6hroK%U0`pV{8KBL)`Jy*L>w{9L(1Ht^K=M7?)uS?`shQqRgby|?zq9(rJp6qW;h ziA}Brz~FD)+3(8-N2b=ZAA%#)8>fEzPguS#LR>CyR6zYw7N4y>Cq%`)nuYB<`G~Ts z6yz(PFCgQD%HZGOLbgSRl)+U$5`qigfT8PvxXK`>bt<$wAldrABbJKbb@TfV^LsRZ zp#W~fFBAZO0Cg*WWI&(G0<-he5@8g;18;&+otqjQ1@NzduDc+l0C?sgbj+cvLwF`X zvcOUmyYZ8Xgee@A8qqJiay}U27BH?s7Yx7+gfmv#&&<{?~qM&>?K(OvojyH z$#!NBfhj1JK)MtJ_#FNtU*Ma25o+JUbj$2@>Kal4jJE0M_j~@gg7gMDR$tI!F%}T7 zXf|A!6CT5`8FCEb2>{iJ4s1hZSe))(YpRtcm8=OlfUdzY4NQ3k|A+B^i*(#m(&MT0 zOK9NnABtcN(t}ahbw`mdB0}3>F5Q6qGDn21Clbi1qFNz;gvD7p#;e0Mn5?JptDbrp4J)cqGjk#zSH{vmyn6ydf(nKPir&o#wjYA;c?yVl^)gFc4m3o_yhOPL+HE&h2hdC9@FoLC~FEdr-R5N%%o`I*~upoqqcR zM$CUvA`AyF{QH|`{vc!Ng`A$*7Ed8W3(sk7GnJ5|n_YVeL##24ekT#u#WG31GlT3T z=wZ+G1h7vosPHF2_$(zpY$ZVjEY>_lP>o=og1gJJ^Z%&qR>4}M);ej>Q$p_tdKG}? z1hUaoqYPt^sNWzNMasy-!Wqb0{62!nq6iiQN1%`Rq)v4Nx;P|L|Am=#agkpJx*89P zdP>OLjRa-lSr;UQU^O8ybjKp}P643b8&gBXfF>HadUrdfSzPO+@+$<=S2iMU-Dn^# zLFO|*h9p?_b~o8RFxyZ_7lA=UmWW`FxV8wlG$F$a02?(p0I4*@l!gl6VocCdfF5!C zFtUD)mI8j)vR0nb!9aQt`+;^)(KzS5_U2o~3&>2*CpF9(s1xG{v^Z@`CW0;bDI_#W zWpQQQ)Mf(D{JU4UD3>`j=_{3cjFwBGBOfsM#A|oQ+>obYuiBYkJDD%;|FFWjAS9eC zq&QzV#eS|-+!lIW0xSflF1tTS>`{MvTbl4Iq3q*-E!TvztS0QD8_-vCuBV_%@Z<}P z%93T$I2*V##+%B11qTQ)EEJ*+h|WS*<3?T@ANK>o`-PTV2c$4M_C_*N_u`Le$she2 zBj%r}2vr>%55hx6$DXdH#O^KCly(CXPPV^u^=O-%-D^S{1Ogy~D>qlvU}AOEK5oq4 zFlTC;NhdUMG>C|bh={opy>drv=DK2T>2%&LKqsNKCRA_4jo~7zvyz+Z^d3-;*b)_h z#EoaDpPFIwUeFmbY?wdOyfT%E)}1>olKw?1bHuPyIPD#3k{rO;@1e_07hLJ<{Yu8n z_$ldJCD=-11nd$RKEW~KC9zpj>DM6~SE@kjUdT_Y9WHcpw@yv0>&K8xlx0|vSYRFZ zm*b@_8=GQ}jxNT`MR&r@&6RLQ%cg37KT1-$A9ZdnsCho=RR#B1g*A^ei{Vg5TP&a! z@ZLeT_Lr1%)q*l?eHDgv@mD_KA}Kq?x^C7eRdeNnj$0W5)2pRZBn?EFkXz)fr|!J(v8a6Ey*>z3*kZ&&g}wA0 zYOMN~`6DXqgM`k`PiZDqVb_caa@)~6q#Mrq%dRJl>MU^>=(dfYXq|5 zDT;z&G!=#`Za)jIsO=gAVRt4SraP-QHRzt}y^nSC-E;p1vlXmjA+R%o5=gVvRA8!u za>_?9EqM#jPi+$a*M1Ua2#vqq3^f0{zb3T zODH@41%=jDx^Y{emGs#P+d1B*ql9g>%0a+FTvF*lX7LKP#W+$?($Z=wtR9SkH==)ns6`RAGbH6@ubKH54HphB3 zbXgLnivdgXyV~OmUv)sT^KCVilG zIW;@P^Km$AreB?jC2zb85#$!=dACc?WuT{cy^BD18DEB|%vzcAD|tEv8hG(dES?9a z`=Gykx^G{Iwv+cB@DD=+*Li1YX&Qs;5@V}%tA>>gHF%DM)h(mNE)cicM)MV0{cF_+ zDgeAqGaw7-&6Iul)5DA0%6UvcytKpCpRx{J(umFlkkmfE-7s->EHTq!dGG$QN{w zy?Y;HT?5BDPD7^x&FekvNVr}I@JGU5{gE`xMr)yUBJ!S2Cd<#%`5RIf=e~RIy$7c@ z6dKY$+wjkQ(;E+ZIXzsJtHS?-Hl&~E`bFCZr$z#n<~#~c2vP7cP%t$t-07vJx1IK3 zi;zLgp@Oz(Nfe4d|NiTLvdLMYswowcNi;4L@Yv0-Rf zll~Xh$QPQvKLmuvba^9+lVMGF4N$bOrAL066QTBm#-Q>rsZi7+iGFL>KsOi+W>Avz z2vkM~`83L)^v2c-4L=EOxE0qnJQw-HwgseuoQKbV+gBi!_y{05-x^;3eV%}S9%a;4qGLz(+UXjeX2uM zi0_6qTRd4sR|i!0)QuoCOz5wf;{d6NUGCKBv7F1;Y5FkGT1)tfKCdT& zdy&G&VF}w7;Khg2Vyiomz`%`9N&v4Ka!cK6&H;;@-g@A0Bm_+iXxEU5Aw!N4ypMLU~G58GM2=kVU)F8LhgXgI~`xJ#cf#1b)DG{G|byGl=g2F=DLl<4<9Y>b`&UR@!{eO;7=cA2@v ziX(%fhU{3z`v8qzS~s!3Srh3 zg!Q3bt?H#PxILU39&)F5-9}4)!~x0HUn8*`bPpto?EH;ib(nwu?*eSON7+I#=iZev zwp8dgrmG}UcAngetA z5q&Cwk+6^K?_9?p9JKz8wuwaYO$$lJZ9C{=U-+OiDv7G_on6@RJO4q`)SxC(m=2@d z=Kde>be%{pIHuFLVC|N6+$;;4U{B>eXwRt>E6?7Kt}scHJ~FXAa`al3oiCiH7Pf6t z*AV^LR}|y}4hR}iV%dm$5=D0Y4;4%a`X**dj*fUd&>3LS1uW31YzKq0(jVV(?YM07 zLC0EVf|=%}XvNaW+KRKF@XfSGRv>!O{@kR9%@bpCoL!#8#-N2o1!!3HUdW6UzS{K5 zsLkJ0AL>Z()U%b?i&r&_UfplvF7xc|%DgI=#`lF;M_Rll!kp9`^DvW9r?DS8*!;3gqUIF(QKwLNp5xK>DHS?L3!UK>y6M*y^?~Om`abln!`(4ujN$G()PB5; zNSwQ|)xC={=c$Aix*fqKOY$!aeE-pnUOaz*vb~LNaBhA`X|z%aWU!;&zD+7O0R00X*9n3KDQF>Dn}!f%TmTnx}HVFbS( z3bEml5Q4{kE^J7!n>Npa*?sInI4I7CPfzS_k;QE7-Jx8!Xf7+Mt}s8?ZS=p|rxwJW zSAN!*LqArK1uVPgK5>ag-^6K?vf@t)6(85)HRFJ0+^Z7Z?+Imm`e#yG86A4Kxf~V# zZlw~Zg))9!Gp0yt$4t~0%Q4vFRn>Y>38Twe#@n8ot$n^H*kR5?W^V8bfjt=lI~rg; zz#`Pi174luZ?(};W|_Drbe**+?~~kkPg4zQKT}t3C7x4KEIr2ODhRT*y`d6^a4R)H zTUaal5L-V@N8&C2g<`~qNJl>dw>*acmlOvi0&k-5IK9c4%JOm&HI%c?D#H9zl|t3f z=b)(KTFs>@U$)On(eN#X24ZzV+OY>(Y@ZP2I|H5gU@dF*0BXycT@7oNz%VY+2Wx>` z{?!cX?pM?+{X@XO8gqyi)k2&k{j7rLP4bf&4z-67DO zeNb?!ue>(hAu?n<)atW!Iqgte+swPEKakMP1gECzzgL%JxTYtBinxk{m0v{9L`5*c zDMA-UDi`thEPIpRCNdrx-DdB+jdeY*2!&Pf$GEECSArm4IL)`iQOm$S8C`v-T>e0) z{5v_EdR0uVbgD5KnywI0o=ATHzL?1`M&v z@C3twQx!x9`kAIkXx4)z-50_K@=`^GYry!}`MwIuqc)VQ-OUA4D7vUpuCbeg$}#2U z;v&!Pm2&+ulxr6^7q;|9Uudd8;SWQ(p4;rzD;4F#33@c2`v+N9oZe@o&zD<5`S0@c zW6yvc{tqtEOJVu$jxWn3f4)F_yJ$9KS~yoi&oXfL5w3)W^LJ-B^T2f~;&$XLn+MAD zHMnrM61B=CTDWL?b!P2s*75v}*y8b-i!Qo|TRff|Pd~Zg^?eT-N^jWkLUq-K^zcDL zI1T378+cUDlcWDIla%RVdAld_Aw+pe^o8iM$GpY((1gfanwY14R*|#B+$r$Wl)oAl zZ*gy@sX{&eECY8o;r==iKQ{;X`F5RT9UMOXrx?5GChf!D6{FVOcLl~?Dv3U0ciS`( zV{ucu@nFvZXH|4SWu(YqF(fZ?Wrf{mFb$%=97@G@1k8+aaRt^}x+yXl`N0AVsvGMX zQnoQAlR6m|t$`82&d!f(Rn+3UZldW@zSH7stDr6&Uw4@=_06#kb?I02=~Jwr!w5E z)9<#9oqDar*+qStXN5&NJW4{g{wC6rtxfwRfgO=T3rO-X<_k*(-?T5IF6N^ivkqtk zRBN=*{Np#@axU2H+}6N5R`ba>h$Y3VxlrP}&?6*lF8|IKevDB^Vlw8Et$g7>fyrjL z3E_0|jm}kXL|S*cZq*x9W^KpX)X$0RDC$v*2*u2Lz{gMnA-3>$J%UXR$u|OICP3y8 z0C4T67`giV55Da6${w=6v^hW$;xFTZVy7EVt<1ZSZ3fq4;+(5z82nmnXh;yyX`iIq0kuKcVi= zoz)~)rs+2B1rtXvjpE>)sv!bonT4sA{9yylI)B?>pl)$#dn4x{*J=5?|-5cWAojDA(={fu+ zFhxPD+M%ixWLPVF@!v@0qQWHkv1K+o2x+pc-7YXr_5xVtZ@a)bz)|#iJ4EzQv+ZUX zGFd)vvUDcjsKN*|E4JnjGQ5J(9XDg82RnJmH1fHG70>PB)k+fFV4U9mIPwG2JIudR z`{Nbf$m~a(_NVaFyZqWmH-_}fj9kO|Wk#+M{gMulmNBm18~+MOL%N*YyB0nOe4yhR zL1qGvIkd$UN}dECN$F#yOsqkom&E@I{+wzWb zw`lHW^9w#K+?a};PPP-dO}2%Ek{OM&d-23l+VwwN1-pMCL-!#hFI3}=3tsDj_pSsk z`couuAY59ivr&UK3K6534vx2-g=pt^^h$CYTASmsh%VosGT)FybP&Qbm1`vi*bdM< zj?H9#gR3Shzt|nw&*EAx9)WQ2wAC_gu9G%|2pI`kv0q+;DmF0mI6`f^AurRT(=>y? zm6n)Tlk2c(7hvW6U&40x8v=fgSZuMt3bDM}r+N8wnO7oQ+d>{9yun!5y^Iumh_vj@ z&~c>2g@P|cT!_035g_2SFn&X*135aACz67ROY~h+fvh>O%aFazz zwf8bbwMcVH)Z-|Hs9NkZIY)!xfX_juas9FTY-4ag07P1BQCz~y!vL`xsjrYxFJERg zKMvGa?aR=q2({HCk)&Fq1AuktLna62@bjW`02jN7`yBYS8^5~#RnbaLDiRFCdd7K< z4YloQF`J=TFgF)J=Md!G3J|*?=|ndw4&F(}OF)6g=i2@js~NvpG2SC^E+s&V@ZrTH zVyp?0+RIF+;5mH?jKgpykZQCmAm(RFDCji%wjpq z#ywA;!2iaLbY*B0OjzEvKmZCC^?{Bdg|16ABVejd1%NwVZgmEz*bhzGM$gQ+z<(8D)c! zcQ%v_|GD-OE^{U%E_22JeL?vx&K$OJ9W#FNU7PTi`EmEM3E^VhF+Vu&2Wh<%6aY1T zFzyFu`$0ZKYhWAwAblhzc7Y#E_`#GPZ1#gKesHNDT;>Ot`@xl7FxjC+CA-Zpr2@n! zd(Cg3`K794{DApohv0Y4{0^DlVe>m;en-u3fxr2#95@BGM~WwiE)xEV>`01dE(XM> zYXq6#Pv8%v+rR0Q4|3TJc13A+fsv~Uw*VMdRO4?1uQF>Q8xw`$v>4;P!p!z6UE}Q< z6(IS+*|E+-Ra%`MI`ks0cBO;^_j4ZiqcUP^sE<^TP!8J^SBou_h}ar% zsr>!z!oRwHCO*8i5+0mxXo+smgF|(RFXO=()-U718PP9e2aoEPv4acvf_62wPps>` zI>rupJ6(?1ZJO?MnGU3jhf~*W93u$!u&19c%=@NH$c9ruhoaCi$p!@ zdcI+)Ye6LPA9jVoKOojr-MGhY*_mV4FE?PMH^((|A zN%r#N%jTnBSt#Zv?okr6ud7npj+*v`N@+Ekc21?Voiy!~N@+7RZN5z-VNK>^Knb(V z-xr@FNbjZ&BwUTa>DxPlCEAODJ+B8l3Ql+%%ns&WSV^e0a zGzRsQWRnLP@dAM|ZA{4X4P;I$IF6nNd1uNgCZ!K4qnvG3wOzsZgG@mZuiL1|8s>D} z9@l?Ocnd2>UV#Ec9Nou-SgH`iscbKkQt9Ul>)1uBM)HxvE;#Rtn-kL`r4w!G)or`@ zB<3T_F25ooCZv!yO)YDsA|E-R;iAjglP|M9xf_Hh`@xY8-f#pw5;4FCy_eaE;N}qv zF-QpRk+2bcjNpkk8zDG&X^D;KB?PY{vk_7(w~N>a$uby@$T<;G%1}6B)Q^bXcd0aR zN5PLv=2-F=B3M}zA{WPs2%xrg9TE7VK>{>9=Hkcg2##Ni-F;H==sA}ux^YE^#^S4a zP>~m38sT0vg*tu$D7HmU=ykcyZObtz^&)F8reA~dYaKB;{W1g4kbcop1LSZ%c@HhB z(j|ySHohWyk7L^$q^}n6khyP%HxUJDEf-#!dCwT?%xfprQcqb3ww()+>O^@gif?A# z(|(gJei`GYP&~M~0Hh3*uq8vD1}Be&7D}2ai7n1}bjQSOLZ>=c4Mf`h!z&wC_oMKe z0fI)1i?>~H==L0$$04Ck5(HwUEhP-W1c6veh!npl1z)@I${$00kz}v?JdB0w%}UftQY~qw<`5&g^2vS* zLGeW$SV#uuWBr~S1Pp33xsRkFC{rex`#5#_*?<69Avd&xDqKO=vOyE;;M!9G^1`()Vr0$(h-cfiqE{YFsE~kvy_go~Q)MebCX}FJZ5xGLP3zldwPICq~J=z@YAC z|2IrWLY+6wPc%*h!34oUUiG4sG8`Tg6Qtq55Df{NpEO9BDFnzL>rKIQyc120*g;yo z$^O_Hycd93jmVH)qmrU2$A%Ktb5jd)E7mhPOqzw^{vp5UqC<3I_*)+l> zmQDa934&<|m;hOO#An$A!gj&Jcv~9hj)aMaU>KiI-X{Y7klNRS5ODag?(+m(CUO2= z7g2WwATC%RR*UwGoPXQ+JSLNR+u}x` z=P>6&Fo6(yuxp`~!mh(e@k&c-BV^Pmd*YNjS;l0ZL<)aupI+uM7m@0MlhkIW{y3D{ zZ0o-a0TG2Ty-bk&%O`?ZUOYhgs(h|)JJ4oH*eqiqCM1e4Ynuz^?Q&CjRV%cMkBZs; zd%Tj%t8TvtUMQSTo)=9c)OsH27FjX3x*k$m#9Licwmw!!x}AOnQXm*&RY_$$7!DF{ z!!O{R6%q_&=(l)e_P*GfBgKa%V|S5{butZ7z04oJtvKt3KUrjf@s>{B*SYFG9F6~o zpJ_^60goV0Pbd33SM|dsa*MVBON7DT4-|p7d&FP>!5D1&+qoR#sp?V6TpTf!oA5w@ z#JWVhgxmZl%3%0oM-I&Za6v1#)x3IvZJs|N)OtP=1I=S@Xn8MB2bgRKh!i`_7sRvG z>?OssEsWEM28In}3>)0Ok-R6i<`O8@z*-qxhL}jxWr#~TD!2@JRfl~GYXl#7d<%cU zXtZsYM0BhKf*pCiMLKS-+MJe60+)3-940wQS zZVxci!M622(><*&D7z$<=;4bLtoaT`pcx_9)DG}+26p*<_ST^H^}21#a7qwbwD)g8 zEn0YA4k#ImuAAeJ`La57h;dM=_>rEI?;7!gqkgd92gm&2xF3x0T}g@n7HRxo+z-z7 zgAIPL(GNEH!3BOW;RjQGu-Ol`_`#)qaG4)m?gv-;!45yz?FW1OV6PwS^Mn0Im3CHySz!z_v*-_eH;{zC-YKOgu=a6s{r5&~)g?S3ZBW;cnM zFS8rae9aDE*(>nX;C!jNVa2>bh%{wrdP;rMJya#;BbDzM^obXCb5LM*em9^(S9I72I-ughqv>Sg9lV7+0mw}D^qX9u|N(1U*RAvP6vd7T0! z0);4~Uw@ZRW4_}ae6V1HFw?)r|6_)yb1QR zM^J&zb^I%)1OsW23uPTliC+Ov@!R<0%Zov)?TD0!r6Zdq#|&GP+VzJ}IKaaU-d8Ps zTG2*UwwO9)vcf`z)opkG288LZK_QHPBkgljF5=9Cj0FwCS73f0FdGUmz47YI!HVQ~ zgVn{ifR!Aq-i;X#CqnB)?AvFkt{FnPUS?GxK>k!0_Fap{z<5${ca86v0lLgN zHtxU57tVlS;YD*i$xTD888jfiYM9MFqixr4w61{}T%MOgwn4g&$bwSry~*-5q2!2e z`sT{u&kL=nKjI7mF{+Z|=^koGwS9lc_GL{$+J}131Ha`&te|OihZB)RH!JcANt>k= zN}_nV6LEeP5$8D(m$O^T9tl&*h8q!ayaN$giwLv1M(DVfNcGT`686up(gJG7L3Q&D z6b#F?qRE1)fFepBq!bi?k3U+w5oNq!{o)P4%CW#==_esSbRrI9x!-akE`ohjyu*q3 z6?$E<6A^;Gbd5#zJ;-M1Qu}p3zn0psTS0v34Eyzdpe&tizuF*#r6cXvm0$!PGSo^g z0eK~EToURZ#?+xSQ;Urb@>aEg;5I;T$J1@ELU0R|bYvU1_A&SZTXe?Y)5ui3*{MyQ zZ0sE0cg2o_JS$PULUPGW{#8%b0yFsyB*&~JiG0oKRQb~R|0KD_F~eJ#SquVY3-KeU zxKw7UwKxPk^=t8UrxsPV7Bi$4#p^W<1=6+Wl2o=mt*ko9>%HnsB`?b8=s%OvKY|97r>HPWs!lEG_L0Xk)^MfZ`w=1z{9hU^8;Fv`vl{6!f#Gm8bK z0muuF+6}<(ln=Rl%aFG_u7rwYU$m2hP%yJ%^ay=d| zH9Y<*bg$vDkqS7yg%aAp#joIxa{y$e8H^-&zJ-P2h`sGG08xqxpg|U|5xr zqTZq>m>>3mk17L>5_qPM`8FSTMj7x91b!ZW4C^lTfq%Ou%(@x^|GN*I@PP-)fO)-6 zvC9YE-3RVeVESZDqwEN{(piRvmp{>Tevyky2pNxJT2u;;^pAY|eRol;p zY%hZpQf$@!(d;qd%rZy{kF8pC5^Bwvm(u%rJ_VNGtj9==P>tRTUk!Drc9g$h{(_DY z1!U;}9^j~)Mdr-kALPu;VGs;jGxChW#$4@g(E4)A{G|N|G%CS3mDs6erPhN@b z^Y_K6^dGSOF9D+qHhtT0dhwQ2dQlFPwk#e#9yZ6gI+I($+^xqX zw_Nj#fk*C<^~WG52kgD5pSjbbbJZBuXflk(G6>GvS0Q>F(c_WUFCYq5UcT_pRh&~4 zI#(4U?Kt3$$ZY*5PxFNI{_7+ett<2Gg~PGaHv*ik&5AB!U&$H6?4&R9psE9?a*+e+ zIu{w!AJjWvxIxP;=9Ih<6#KxbUazKa>j+rX@E}%Y zTcmAAY!Vr%DqTn@HuwH*`$&xB%GO`K$SdkUU^S$ZEK14cj0$var$~bL3QMb!Bf`8H znC2ZATf@E6$m{eXZR{a5b}qDHlTXrt9HDeQmFhLS-A{gOv@`h>j&40w-Tp@d0jh_< zpvQd%TNkpT( zIO5w#yIdMz6+*=QRW^I2Gs{i#h&&Z zkV7&VTRfgN-bYfGFT9NY;Fs~S)OFiZ>=5a7LvRbFAH87bng;Z&EN%=4EU@a* z00FIC+J*bvxEL^sA2cgn`2{~X<_E|9AfD#6ur+=#?gwZ4!3ICr=m(qp-~vCG@PjEo z*z5;e{NPeQxXceO_k%0_V22;<_Jcisu-6av`N4iaIN%2d{b0@y4*9`hKR9B8Sm6Qt zGU7PKg@f;hpH3or=t(vo^uu;;gsT@fNoMs_fLcEvy#k&O-ic3a*R5j%(<#~Zu@oLo zCfY7W!Bm29Jl0B$3ia6~jhr16k1X!dM_z?H1xGK_PXZ(xZTS%U~0mrs;EILq*-XwTAKhB2dEm?s$uQoj8k``fM&JG`~9AC?{lAL zGLxq6e%|+=w;#wn&vVZ`_uO;OJ?GqWf7!z?KD3(9fiR{P3B*r0vD0@5BPU_TctujyQO1$i$Gvujt`o&9)QM3wsE@oye&GW&(TeG({pg zIj4=Bx-B=YGsk$ZWG4p8XFkr5mh0mo!n1H<~8eg1HP#MDo1qZcE~a_&49 z#Qa!^;Rus81ea2=C-|h%wkPQ8q%@8pAtSTEhl-pAu>2y39oNuA?1wYV2SyGEA=^}S zv94*xXq-uQaL;F(P|KHr=pqn9YVdfId#p2$!|^UN$s@k%Qvdu;PD0U;%G9Mx)5%BR zcV>vEk6F1Ab|)LRQ`u-{{&0O1ls-?tLA~ugU!*(3Wga3PCqO*X3$_AqSY_u`PGy%% zr!F*4XF`)W(*et|8AZc#aCh67p0J)@(HTIbK3eOAg}R-jc|bS24a68y_4>nR+aI>r zhaUUTYajaU!{EUByHJW^YsVA2O(tDC1wTUwElR&h;GA82tkiG8zVr+R((>I**8?s( zr7Qy`q{DrGEEBycoVGggKJ%UO2+()$lqSd%lCMDEi zU!;9EgmDfq6}!Kq_5QMTn35qnx}CNNyA9swZ{?H6yke zNGGpb$iLzBtI@A4((rn$=Mx5?p3)&vNrSkLwTyLkw04HVsrLd*OVB>m&d!;8YXH@o z@P;DF*M%MRxe9!YcP(g#5l{xTZZYz}saBEO0m|(n)Lz{%ER73h=&>2tk16Pq;Y?qK zo?wPvn*ks$!=I7eme3o_FlaL{tm2jMBVPt6u=|gK+6mO8-)1|?pKYTrTfbxUCjkQ_ zQ^OnE@uZ^Fz7!25ZefCR9}qVC<>Ipw9EVc;2!lu4EXSh{reYg9S~p;WyE6J&ARLIb zOPq;2BQj8Lb=dmgQ*T~8(}aR8UCBE@Q$?GM5K(%Q=;W%Y+@7Z5wN=C`aWs0V2-SQ; zr-6L&5)bl|4ifZ)@-vh;&YyxfhSv;fSm)U7Bh9aQhYd)Szvwa^Sa97uR9bA93i@-9 zORJ#e!+P^!4k4Vf#iLcW1dDBErW(Q+O(JT0*r&F=1nv-kzBw;8xb`^jF*&tQxKYk! z(5%;Rsx7sx{JDV} zJy<9fQ8P33tlkyFAR>$5@^-hvnj7tf_M2qe4o#x$KoAUbO%?@0C5i#D4M6RNR4v6l z>yGPTVdX!8bg{gpR$SrCh#E;RXa~4)b}q+scnO2GdU?QLbsVf^#0e;&%998=(Supg zJH~XO9j&n%K{@^0!=8|FWG25HA4bxMS6O#^3LIR_7ixD|2yYUe&@|>62vHm7Pee@? zWL0!<`tLEC#K@mT-6q4|49TKo_X2yWlAO(|zA6})e&vp015?(lNKJZSfrp9Is}USf zx{)k>I9*Fhv*~s&EOQ>_@6>4FyBejv9j$vOt%D;uNa*ciXQ8v7c?AaU-wZ4?m3W1~ zYIw1&iJA&-TPBn|nHl?djJY0^i`-qz-Rg21^J8;=TypP2up*FK`Wte8fVnS0ZYYZR zv3;fhPT6_(_Z))Eas?P?8OyJysk3Yxo@?#>=PuS>z`i0M z2F-^#`P1#ECktV=S{Oj|rrR$*9@b}cQsP4VS$8?5nJ2_l<>y%hpEB@s^B37qcYB{a zQdWDPuqrT&*Dz6?ZLs9^Q+E*gG$l*8bp zX$aFUj-#e!o#q`;QTMyf-+?a!-8&Lb-O~+ti1XyO4+A5*Tf2-Qy0BbDd+=wQC3Y5O zuN|_zwprzu{dv0(1IhUDA0Zh}LLS*uVW`Ot7!}~2;^D3pd+Oo7=y15{u+SU&7;)DZ z;+_NC6g+)2nLuI3iF9uS>M zX^LnIK(V@cOon|Ic^TFOGTg9!=Iig{vZ7}@RJQe{DzC-y>(SRfz{`Ri?^x} zm^um<^NAqzrycY=0?@+3{QH8?A9c`21)(XbdGQ?j=!R{lhe(zj2a-!z%*z`JEM^_- z%9gPfa*GLb;IuLJC|a3;m>D!;=%w1w+LZ(kCc;M!#1K*78fRy0PFD@>MH-&yXnjJA zO)sH6V{^-Yfz5w5ir5(&+ikD@D3y4BM{B>Di{YTLi7+=;h7zY6>)71KO77hqt-Axc zDX`?%fBXTt*CIEp`ux~#F*d_}0b{d+AlJJBjIlw?!5ACktQ@$NbTXPE#zyOiVx*k4 zL~@)Wk(@R%L)(H6Gu8SaR6|Ze=ZLW(wj75e`(?i6u)p?9 zzvA~rOw4LSzvBM^1C3nHrHUW9jcksH?+qn`%_V{rk8@1{c)Zv>M(v}mIjaMZ%lRF$ zI(eO0%W?wk8>YXqlp< zbfuP1l<6Cy(^zUa7FBA#{d-UoGt|(ft(}`YZJgr2|2B^;mrSJilcdjz+jgf{Jfjm@ z{CO-MQ<%aGc&@41Xzr_cEmiw@uK0dsI7cLl;I+ft z{K+IE&Un#qAEP`<^IC#d;m9qlE899h_C)wo3}PFt8l0W_@<%4Fr-xCD)6>~Ku^m&) zfl&jo-6)(aDjW)k%ErfPq+uMe0m9@|_Ey+d{jTE!Ho_E+5BmAlQ`z6jq6sz_Sf{dw zjr@GUFF(u}RM{(-`%0I)V0`dTl6%bPLX-zo_W8^`4Y|{?z4K$4V&j8p1j%{hgLZY+ zs@{3NCx?$~8y~$VwtaH$SQX_gTt)*Kc92~Ta!T%iveXBeJI}+p*g=-(7`tW79nK#* z$axO(sGJzt0OUVA$gn~l1v;nZmjw~7bzoTxbRe<>tH@s(1iRjW?Q~#A=hdMS?}7S+ z)^OiT;M=2k3vXYz9ax6bP1Dk?ne>9ac-it^+y)Pz{i@kW3`R-VxVpDZQSl;aZw#0s zs@s6d1IzfqY-8R^uuBvy+qa(>>=^X@Oqy+yAY;bvjv3@F|0mBs;2=*06^NuplZfOu zFa%0QwKvG4^#891dC+_j;L+h8hf?TIT%E;(X}BCu#&oZM|FoiWVIi6O*oROZQ*zL+#rl>!05_na*t%Jbt#m$Z>$Ae!IO*;jG6!6Y5k{T=zZ{)(0 z_SWqc;q@I_YjnhJ8CQ{LwQ>*MOu_NTA!y>Z+tJj(Z-Jki$CcSz?J$-bJjxp<7L1#|zqknJ zijAB8@E^d<(gL_KZW_e6>D$V=qr>YTbeuDhYRkE0H#yFU8R-+w*+EDb@aM(zDJC9Z zTI$j%DjVamP&gqR$N3RlYw{o_C02XUi3ji|jZxHyUcacoh>jCPgJ}4IXd`T84Uh3? zLiK{+2-244rb6794y`Uj4hZVS{`VAxpQ)m(RLl;6SqL1`ulMp{OqJWB?8P^$+H9!t zq*+&t71_kdTs_#H zMg~z0B9tIJls}i5ARRU71^cl03x|p59A-zh0_)Qtm*w9+OWGIf#0Rk)a1hG@+n%wx zamxyo?qJZXw%+Tv>V)BN*aivbbE9AR4Fr>8>~V|cK|q*7b>)7VXtW01Z1$oO_n!;@ zFC-2zJR@q8oT$xZTX%V*hG*a)qB&JEL}`$vG|e+nzuZ$Q8I(0~tXu%>Gh;HM49WP* zUn66;%h-=vLS#JQmiJ=9ed>(?;a0eDh5KCeOmA!;y*0hYi{#oGD0+vMEQxH178?7cTwDHx@sBHAJ%UC>NTt>7I`&*(mW-Q zLPR?a&~vQuqv+}sya9+70}uf-37$uC4n9~ZBOi-O*}4x+T*}BF-{b(^;GWQ}XQbGS zZ1wshnkK7+(BCB__)}jy8Q_gz*#@FK>Usm09_7Dppa*y_#4C}LcLV`E%{h-#tEybH#}xWIW&?K}3EEpSM*?6Erf zu^XHTH0((!djM=_@~uWXQB8nh56BTqVAx|B{tEn9$HPllTkvPW5THS7)7&x6hCRFn zx*o2gy)g=E;7W)p)Ky^353syF$iTrP`?^-UP z^NK_ruNBn6LO^fb^zZ2O-gZlm*Oq-(emJNy%y1Iy7L{=dbGK-*2!hFo#5BpR_zJgX zQkz*WV^>00%stYI5*@r#=@Lt8)#C170P`sZ^LVnFMvTlYN&iDcbn95pKTm2%)n`TeH}v2Gcij0QkH4`h^B94lcbG8tPgw=x)o?)0K1p+fGVYS>4_Y5zryER1TT(F>TF&ZIS%LH!^;CKNsYIES~qY+bee8LbWq!M^|g21-uTykhI$7%%&KEV~d z4Pp=Lek}^7s7t{|n=vJ)OIfJdS8*hT=5J(HGnxtT;^RL9FTRON21tSfr;PX?ba3O* zWW`;R6-4xCE@j4#AtPzz%KhDC$>r=XSp9Hb`NvMR9qD#FB|e0N1xVnk4$Q}Ehkk)= zVmtK9KLxtefzF`Nv(48Yk34cOLK3TCgeCc@rcn&RHZFvfP=@9t>?3$M4Ra&Jp8LIH zxB>p%EDt#DfZ5VH-a-n2ooWU4KA_N&3J0mzKyTx8PFW$T6_TlT861H>r?W!Xon;wY zM^WjjTJ4Jd@%2I{Dkc^)A2T&FkRNoA4?0L-3Hbv=h_;EU{r)}__a8{*n$hqlK8w#V z6&=}0yu#sLj!;mmqj)L>ZC1OEcB@`F*<-}(m)q6zSW8RTwzEyWg&tovm5iVG;Z4iN zhSp5V;}j``6(xFQd2s@XGhu0#t`l^g+kF3Zg+gY>tG{{y8M*ba8%W{J&GLM*S@NNl zKhQKhYzf!dn8msbcQF}iVyVezRE5(TX_N5;HY}_-lKFda6|)JJFND ze-lAquyi0~&MB}STh+A=Oyxzu%2eDSQwH1l4s3^EuRaE!xW_(WTO)X-xVElc3G}%jU&0;fVPU|GPPl_-W1 zct-{VQeB`<>_Bil{E;*_2uMex9EUPiaacIWK|!h%Jr6P53dBkW_?D7Mk(VoedNVhK_7|!1H%tdj6+_3_>FQ2{oM8k zI|OU|cmlZDhu!=8mzFfMrWJg83-%ya`b>wcg686%G!+$r&tF;~0(GT_5LAqA5|kDV zUl@Iqu0AN&6w!6c1pCMDo>LRBMy*493oC$z5XcizuV zD62li@hvFi9u{(!Da3WRe$z%F(WoY4U`TugGhT*_6a)CPKA$!d6oXR<2}46qY;0#s zF-prlzhrnn+b5p;ok}xmVr9)$5QPZ$oV~m$O0k@hz>x&YXzoI{-fhpj^!q-#;1m!9~-`lrzh|! zyKc_-xgBddP#khWX6D6u+tT8v8xqVCgYj4_+v_MK{_y{6P-ZyGaq;*hxUAwjsPnr^ zvbOwV)Q2~I05hpYJJ-7|IpWS0yrI&>%xFom7e`kL=;AKZbDlX``U?P*6+uUDN{79k6_Hmc(3&pbaBZu40?`6BfWxG|fg*)2;DKce;m1}3&C%rL* z-IjwA`oc zC2nrX3xwh5JLPlK>V9R zShHsi)gwW&S+O^tG?c)dE@FOo5yL=swIUe-s9Harm!|cj9X!H{1nppZjyvp##iJ?r z9X6ZdElrmC9!6EFP5ZBRv%jw6ra01c_`J#`iI;v)^0xeM>l5C187!lO0T0)&>)?i# z)Nc>(1Qz2!f-}7C?pevBSE|RAkjvEmhRc#j?!71VL+E9FG2KSa#D6-SzYhO<`wS|y+TWE zhX3e{Vg|1zMh-XGyE!)3`9S;X0VA1gQJ*i9U#sw=I6!JOTTq-U{;dJ!l7ZgZPUFq?C21U8?y*CRu z$konB!fs-!UiErpHjko0B~$(cc$rkwWyUG8q)Vpk?9|Ibo4#)-A#12kjk~Wy(2QI@R&43W|j!Aj(Jqn?{xv$qmQ82)}n^=9roA>=2$bSri z0bcs2wJanZQ}z015%N=j&)T0@E_Uu8AFJ8#u5{0n#>~26{0X;D35}(6UPdWQ5{E~n%n*;jP zn4J<&mm>PcGtgcri*((B0&)*4xf7wmnhveF7@+mg(QvfbPmctHFZ^(s zU}zbq3ZH*VVHLs~uPhaH*nQp+cX{9Kz)k@SYmH>Z1(Y3Y7mXYCdt1#Ikn>`{JJl;k zMjMUz2Cm39UE{LO^HyXCf%JQj8;-I!^g*24AM{R9_;@&G znz8Rm2`b_OG}8c%f&WkdCl2P!->!7*wnpQ^cbFk4T$TF^_5oV2;a4d`@!m%m@JYq$tFH+f6hrG(Zev!5?m*N$v ztW3k%wtYd`Ru?z zMuFC16>>T|I!1T`{9JV|<+Wdpr;i$XYs%02Q9%B~hvQp+>QWBQsg>)-tS{1&w=oe< z?IGO7cHXD(T=Zc(Vpq0b@1i`oDUz zxayrMi(CaFNETvZ%$rt53);!9lin`94la&tq42pli@%2!;WapHK5w#X4Yz*B@Opmv zfB&s4wA#z);+$tQ<9f|VeJU#>vN)r;m!w3&|US?s0VwW zz$V@RWZ1wOL5`wTt@^IZa#Ju1WW9Kn_dANt3TE+|KKGyoD1G%f!R2~c*qUf6#`~(% z9YN11oT)=~$vWi!;#GT7FbnITj6H4)L7#L5-8vpYpLW>a6~I2LBtbX2EK`G796@($ zDAUKGzq?$|VU&R|c5x1c9Nae)&TwdUNrImGv&W&;!7PrT5se)B2x@i(MI~3b^K8Hu zZMLf%>`X18QblhLiOOa1r)a)vmv8^uq|!DYDa-X}KHP0-Ja#iYW+FYPx*qTqMdM@V+gv03u|_oz4=gXrmP4<44fZ2}l_M_Dlg~l9A$v_KDjL*W zRZqEmUBP@L*lzB`QZYO790{%?O@A94cnSWCJlRky$F(J=FT zp#g{1EXexz2*?dT{xuiza<0G}2(iklrIwpwK(WDlyuc zehUoe0(iq=GqSNpc|By#QwFm1fQYCJp8X~=o`sBDKNDWB=KToTz!+~mU#$6!V%qVi z{H>5L9wP>8J(#Z&DEyf|Q$F7$pD|hu)~a={`^O;ogTz^1U%)|G>_>#V4~}jH-H&^a-oS{9X0P{bCpdA-|QEs zPSiImH$EAn7CxVBSl{YsN_3-&8Q6~9kyxYV205&Uc9yHrbJE7)&XpCxzC#uVYMk7r1;s(tOiRK4`yCzP4y#FGGG*>_DocG$xFfY(9xyXtjRyFsk(va9E1PpYlaujXiSkCV578 z#=7Kw8-HwN%$GT!5IY#p0pQEtEKDUPZcF2_BZ!%Xs-{Yt(HJaf=%wd)mhovEQw;28&S z;n>nEbGNwCO^!{t^2cLoP1}n^}pjVouruNL%WY0@zVAz&g7Sq zu?j*;qYt9Y;`^1(KB+)mM=+Fzq(WNl_P|lRjp~$?=wP^vuo1DWMzT&rKQ@+Q2s4Dy2}(@pb=WU426yG(^=XG z*A^}9Y?e0P%WNBAVa{uWpT1f0cRq@0a$3kX`%x~Fsd0nLv{^EVamB?_(^y^n!zC;} zm#C|1uFJ4;Oa`)5Lb?U+Xv=0$obm?88^j$&r!sz(Tz&ZB4BR0pUXO3M(N)!%^=kF{ z=~^p2k=hBfaf8r5tY#{6nVyzR3C1_G15%^hZ}AhX)KUlk#Q?m>$@j;=zuUooGypF$ z(lG{phJ$~X!t>}i&;w^7q(>p@5XMiIxSv->{MSl8S&7?m(VlJGrOx^)Bk8AJ8TA9+ z4?vcX#(r7-R6ksUa6#Gl4LzwBTZY0HQd8Ic_*oU0nX1a&}1ugox zqQL|jPLDVh$?>k~=U{=cxicxOM2tu0!LXwf!;ShP2%me&L%7{QqdZgFuIWE?$^VMv z+$mnwY`^%LK*+qIhu8n} z7@%_<(8UVW$*uQ(B38IerenVLpPt-LRjR4-h6ma&hfHFc?e*L{#^ia{<#_?45V&2e zX<6IperdrV??QB3H1crj9wN)ZREQs;xItMcH>95my78l5MzOn0lJk->zx7DHNsFE9 zuiK|x2B{m(W7m}xesTTJ>EP}X2WPlD+0|#VAP#qO?t^u*8qG$3T;Koc0gswzC6a*^ zR>H5N9e(XLRWIG`g)$z5e{7bJ_}6-X#gOKK?BicT%?J5{HbBHECHrx5)USrOhUA-F z>9taNxO060$#=U3lE~~qD!CPh6X*ph@HR%@)(^DqBmgr=HJ-_^rWwx!XHV}%31kIa7VUTH zub`!?7CP~G_nSm2jT6nqxg;Gh7dn^|1tz?Hvt?6P)tg-E-;8Cv$EE%Xds2;?{3}UK zE;U#`=u&>DDc6{kj7#~3ro6+XT;Njf(-ht{Od5aqqE}8*QWDt8x0f83WBvBFnrbao zBbzNb0-OpRORcJ7N!|3UgRa^yK+NV?Bi&VXt|MlW7Rl?ee4{`QhnpRlMjQuVYXQl5 zCf#gRr=!!o)&_S~{oGaOVT3fGEDn#mXA^L5D8#L+d~!_=ce}%VrQ+s2T|y1!Yi6{w zZIz(;F4IDnsY)~Ps>b34fib=SW3Jkf%Z<+PPe{&FjWo?t6yi>;^?|sZpTOJ^5 zPf&_~{{V2)mIrVfDgLH@ca>`{(#N(CLpvaiY<<^JaidZp7X`BSiM($C$8uLW`1d>b zvx~v^5FQ)nE&l5q{9j?H&{wO4b~E=mloB^C2iM%@nB#H`YK}U|!Fg3utM}(+^s>Bv z!3PKvcgUbs@u$2KUnn^Nu$4YAPh@1mA!mY&RFmKTmDeKIXvwlb!tw$O)P8v56n1S_!7~Kn~n}dGZ4v0B@d()4zqP>!C{`cuoTmJj5qhb+eq7*DXl4 z-2km4U;sq7`TR0oq6_`O$j?9w0Wz>i&c4$oJUG!NT*EmH@+7)c z*ZiKpa}9?Q@(KD_r)pML^hyaQba$XEB#+3l#Di^JLRNrDHDHoQnviJ2S7a74R$%W+ zeAD&_xdhIA{SDw;iYvuN-vbiyG3;y^3zC=cJ;=`z;n_lU3gy{+{iW7yy~V6#hrK@ae-lRD^7iHyi& zcs&l%A%R0aX~B-fx2lkww=>BJTS+u>gT!NPVz?8d7?+#Z4$+iMzjjE~9aYeXmmev# zG`zHEhA14Ojg#svcxc~TMeD3r8dduc^a4QX7FrOWKoyd5BW^G9mA~?H7N%JFfrmZZ z5W^G7=If~U3du5>Pa(;jAZRWQ%&!w}|AFG-jms2E}XbW2!%YIlB0cfJfNVk=cdzo>|<;fIPLU|r1|O4jS*`-2tp8g0Z=QWr^++PklSzC`BoSAOaVU9?hG zFcgFIYm#E=Z1`#sP>~&vj5uD)zknh@0ZfvfzSp1q4dPvV8;7o&d~{VGmM+RmDY_~> zY8VSF0abozpQs=bS^^|m?ID_78mj#JiU_J5tp_-CLTJVP;f?RYKB4YzpV{g-Slo!B z!&!x|hSXf0E6mT^lhh47Zxm=0bu`;07CNRs1G?eE!ShTGsVT&SSZFCv6O?(?RZ(=7l05)JJMxJx|vPfLOKjo7In^=;nzXL**$1O5G z{CYZ_tec95p2q$xnvy|`#c2_55c9GC35so##kSeQ zcE4bgoh$v>-3WLBZ(Bbk&tU_bielSLYzPL#Hm^O=drTfnDmEdDG?SD_m`x65lfrDa zFnG`$vCUGr)GW|->(H~tzZS@MFzB$?%b?SHM5mu`90--Yo??Q58joDvh4Et-3`7^U z^K>ojO()rFw=78Qyh868Xh#f;p@x4~mjb#Ar$s{yDdSuNmWEHgm9+s|)PW6ug3Gvp z1+eH2Tm7Nd&vM3tqJ;^6qA zr%PfLy%WmQk?5f@fwu)?(i7gela2&F@bp^mD(?+{Jrq0P~ zAPZ50n6*O87T|hVT#B50hyYI1sxb6|52-5kE1tZe{U7qnkYNN>>O;lE8oY8U)l(*9 zVXW86=<3_~+QU0DNAR=|2@KZVLQZAzp}hjdTNOg32thQQS6U3`NlWphoAmr?DhW}a zERTm`ifUiIjIT&A#Ur6~@zlJ<%czW2luWxx2mGZ0D#uB(cx&ebdGG5;5G(8r5XD(= z#__GAhp15-`vdw+W;Q@=F9d@%a`PF(;6?ds&xm`3nOL2`$o)~<-$}e4;OmV7l$EgV z@3Bu3>L>+YZK3?bqzzsfkg?za!JrUSQpSoNiw%;C$ry5#BB0W1dqzo0K*cL57m&zX zb~>|=J#DHpQIy3JnSK5vCs#^9#jArwkog;)R%%g2Zhq!5@0NWjWSds zDN4)}4YW7B@pWh*iG&2iCy4iTO0<>U<35Z0f?HQJ}5?7ip7Qa5tQ6QeJrzi2zk&H@oHBlSrVR)+AEV*uh$04^x z1H!9&M2r#r5^72KX3==HRGVT(NN;{9ihMC z#Lolrk&YNbjBqME+} zl~4(RAS1LKpuZdF6?!0>#B;D6DtA<(ZL$~piMO%h%S0JvXCS_aMnwfCDPASZs}3*a zaJ4zktId=Wv$0a=nET{^Mg(r&uJAo(*@np@mz})bW$@(%)0FnYR5XfCyvEau)RtsF z2+I*qO?HsNK{FljKKEJCYpWh%jnMyZ4oYE!QkY7<0>hNW+EdsZ3Q*Tt$OKi^a|pX{ zhkqN&el`@C7}6lkgmUK4^uG4)IM{?TQBG_VnxRL2%gvh9UVSs$8v6CktQZ;8w{8$) zT6t5v+-!0f8i;X*l${MI+9j@`j(m>@Z4U#DyTS{0$(dM>q+^ftVG(R-UM76?u2hWg zm~CJ++0Ey@EcziE{Q747I?{pR?Yb&CWYQiCtU{Kbj8Oq%NglvRs3ZV3FaO;v@)!u+ z5dYyRAe@WfrVND6xkjpyjdw{0=)pjhy_xTvN<&SicpoSUteW>>rhb^|eW=zC)!v6$ z_<#c{z4wT`M=QM#v+)53nmz(Kmm0j7CGrn8$3!i8 zaJ7)y8dkHkhg`sQC8|Tk+Yx zvbo=%LK5{irte^;;`~Neb)`;WGxln!Q%bY@JMb=Sjjd>wDiuCgw8GSOrmd|WPH|)Z z%W%F5N=FSKrg0jUVLXoLDxyPBtG2}J2r*7)K#B1hz-+=pdyARin-B%kIldwUR0PYv z%UAx5ru^|c%|A|s3jG&_j5w6JpAWD6$>T%rYtn0k72}hV)-zKUO_*+KJK^4z32-kz zs~B%Nq6)SyRYZ8>Rq6+#g$rtS5^9FJ_M|^JE%khSUS<^*J#I0pZlV1LvZ)tEU61g& z70>C|mVmoZ3wNOxeqPU#BCAW)-$PW!co0LVp)W>*u#D-4NNATmVCwp1#4pIecv`=} z=K)+qXO-(uJ6d7H&EkR)Z?XiT*g8(~S%Y1Hq#{^JD?PGeiL61S>K~w$J!!D5U5GX2qbPHJ{i4h1@ezXIQAkZcKu?r@$uoIm@S}}ZtsyIjz;YZ@F8g)cA(~bA+I0;Cz zZ+JyPvuuceSb)6dXq;|BNV{Hn~V` z5Ohi4jgxePYtJK2d6X+B5hbdOx8P5C?gvDF!%m>VN38J8Z9)P1RvE2jsR)k9%DP)1 za0UwB<E}gHL>XPgxY3Y>T4X=h1wONH3G~vy=cVSe(sixSg(3sQSrC?AeqjOW zwKf%0RF+p4q>`8(cV~9Q0)w{7@|U*;xlotqAd5uCCH1;XE{aAGzQ*h zwENTeZ0Q9jT+x(Pujp15&5o)i7vCXU@ta`BJ2)|m?mNHF+4o_$Qv_5^*rGQ;arrGe z>VWfLrOTDD<8S|^shM#haAFx}?dYL$@QU`U09V-l#*=+s+?a)#^l|Fu@c0uJlfT+? z2Z~w5mvxF1JuK)ZybM`Eo5)SVQk>5nC@6VRsgkdOVsF_?Dj)HOpUztOi`>n(@qXx_xj4?1AjB z;!e8Q!78=UpLul?` zDt52~XgXT6Q`&lgkh3=b2*L)GSAg(X8Cs9Bg`U{Q7CIPcjaszEAUEu%7WUHm_JBkh zbI2Zk?Lq^Z8@vT~?i-h51ZnucJ3g0G&@B5^F zD@(iq?~@Y$l)Doj24eg0HzZ5mQ6N>$J~*jzZXj(VRQ?UHsq)cv*cA5WLKe?9`6Yso{H<9)rj(91$}h?J8gR zt+G&h$|R28s;1F?qJ<|4g z?!S(vPzu`I^+3)lWwDxY z#=rlYoMF6vryK}U3=evXE=fN;$rQ&q6RI2_qjMm%aFZ*`7k~tMXn3A}g*@x9VH6)^ z!3AedZ-^ZM&%+zPfCaa?)fJBKPbuF~Lt_fHQQc5}d`5r5%MKOH*5hsCrCSfWUsuNS z#yeDlO^%``ns>GpIOeU;4z4Qo@Qt8ylbBC4skPZ8efQfB3(blG#x@BiES+>0+)r#B& z_0bHoyaEH|^6IZ+Ppq_fmaj+SHQZ_T5>Bw4j}G7aGOR&BS6=b3)0OYWv+BxX?Mb;q zo5r#Xpym#USrO)Vfk5iYAe6c1bQ2_?y<4NUv1~EqR#@z*Ns^;yB02Im7sD4IBmb^a zAgl@_#l`EPkz#-A;bu8XrFSO~mrkC|u9A*UlU-k)6@ukp<>Bz)GKLopVaF||(>zH= zmO&`25s!&MALa-&A|!dK!<@THC+#LE5ZGJwS8+h8!^RjyXJ~i_ZBYnnjC(N|$ffgZ z-kSS%X=DT`UjoqZC+_v2CaO07&s1)uuJgI+X`@7UhCg9;KcRa6uTvuifa-hZgGPPd zrHuanh7z$FXi+r;{a+PB07EsSt3{_r4lh-R7S5qeq>-7d)}>uP+JA^kyVg$_4N$0E zDIs^2CBB29H(+andKtr|x;2&9@R9fYuN~6W*}XbRGz1zps4M*H&&3t)^#Tc{eBllg zJffpfV(!PR9vKF9#EtBDDmW8lR)}Cs#f?Zaxl_Odzd)3F$o#gO>W8r&va7^o(J{{z z8MID@PlU5bRaOZ6b>Q`(KgYbH?J@vp{+94Qh??-MIY#-D&({34k z^Udx7(zdW$^+R5mHqCZCN!*i?mtnnG59&ou^rtIRnX>+}UGf~A24jISg>DAXF;u_A zV@))EAjUI0LirC0c!*m@ENqW{a{f$zx^`MB1B7Q~aG9P3>oo--#tWQ`H2~+a_`!xM z-P~*^44;M<1}2P*NqAHfFxWRMj>cI~q)U=U$6ays7~D0C`BJgXxqrnY2&Cv^dvNm2 zwrrp69r0{$>X}2hyL%w^Wy)Rt@^tLW^yfU6g;V~B=av7*KbM855(?8tP5K^_-T_2_ znIG$J+lrXzj&DcnKK{wvo zwU@njFX4ph+-krT64tJSk?7bXDm0Umi#l32PfghF>I`2nTABU>N9>JgK$ANwh z2FuMCW@_F1hU6LY4%1u)faWmX%KwH!1#4b5g~+3i-SDM~vTzKA%GyONAO7NZM0$$m ztS~g}Y(A+JZbNtR@&AvdO5&L1 z2$%-Jvq=S*cFPP;NlakqgfZoBwPJUH{>qAPT#%JGkD& z*oE-=_fSAuH$#ekrsPA6QuG%mjXBAoc`=!jNix3fLEhPNQ|0>uj5CUu1-A zC-v|69G!jjoBQ+AAra-F&-2p^*_lj|ZsC*801qRbE3tf^4)7Dm^?jmiM&a^(;;M!r z%-IZc&W0|8Hx>J*=jrE-PF{mW6Hjo`n73{f%+j>&ESM;Ya%y7i5{N;MJHygu*5kr9 zxBZ4YNU+=)0ZbN(T4pq4MrmlwjM81f-HPea8&nZT@J6@>{J+t9WvF;4zx!=tb1E@y#MVSIr3hr z1;|a9UvrRO4!p6-E{(_Rfg5B8@(uakDDSWT5QeaIRL2L9KhT#3opjHU`rh5}%P@)< zl?kEIP}_;9Dibxj_b0e*NX%UX{DOo|x@4RS7WgtQS?8skLRZhB^rcLB%B2XNbh}JS z;QW`<{qLab=FTc#D+wTVl(W>vT6}WfTA)K{&sH62zsO{AB!bAM7m3~dfLEt6x$dF4g41=>E zb(+Nx`?1oftx7@yyn762z&qdY#q4*0oIn#{>M^x|?ZERUY#q%j$0qz|Ui)3+6PPov zzSNBWwQB=sTajR4h<$_TeJ6p*ZQABegix?tePEu3PKrv{bH{vtdVn2uF zbK;oZb5UGwSZil!InBU=m2$G~ZyzTL3%k{DLW{#$?!ehq_4ua|T~+YQA*t?2C=o?A zhbNT~uk%o7z7biof`!zTzxLKis9PmI!iaRUt@1>UrJPkaJLJEk6s0&;v{3ShiF0Jo z&LFD8Qor6ZG!GlcJ`9#kiPu&0oeb%&x2h) z7M7t?y8x)G>PZJ19Ru6#uRR3vnBKQh@^AvB@WpD9aOcCQ4z6mYF&T*MehP1}N7yk0 zGoOkbkjP9H!%D0fz{Ibtln}1=qy3?qv=pfcOmY7hV|P1+Q`*78j9n*u*%+8%;z1X8 zCjC?c#i1%-;{y6X=W)bVj%@o;{}pJr(W{+9?}X zP1jX*Q1t+Z1Kcq(P}V6K2v$tRyCD}V50naP~a&_H!$AQ z12n;W?;R+a?CY&sT-&z-zR|B}M1@o}<3!xbL~v_q@pW zT<3dU>Yn8oS@#-kanJ4Te8xXC7&+e`BzrLUnhCyUgRdjO*U{i>$Tti?K^4K*%HV4Y zx1d_8AiaNtS6f6}jn2w8i*Qp1T-uUt@Luj|2MSRnCrkCxh~J}EPn8of^KNS@wUL17 zUemNNWjsjiQN2<9322!Rw2bVX9c2gHw7rRRgXZb!(%Aum={?zwJCII64yHE+(ka=&^x8l=MLn2a6G*4*2l!kw9`}~4vwUW~ zCk9ClObn8|m>49vGBHTsE}o#=|dT zpYkVmQ)>p(mj}|RH#MEgo-%rMAf0M9(8hDequ#YK%bge`DVP`}X&Da^yqoLs4#6h& zPjo)&JyvWLyb#B=sIqvb2i9%t9{`IhShWXcyYgECV6_T1%LAisXQ6-pzQ53=0aixG ztIU#hR(r)K239*Uu%+XHfrB%^L3=6%uN1?emV2>BeQOWTvMWmC13tSoE?5-oP-8PL zm{_ll*l3xulR9=@Y&5(vf$2+26j#5JC=q+N%(Y-aBy3GP%f!El!czeF&y~;qhw|IH z&}<=bwV=}nvd3(ZU`wGJ7@de#^9#M=&hXPC?vr#9eENd>B)tKjKH)xz z*yGbG_epdZKGnHTqO9;~f%_y{37_8OK8gClr!(Cr(VX}+(|*G9((hTaqtxl)&PTu( zm|e(5D0esh7@k5f4iyy);7EMO;-LH#2TMnzWXTsEo(Sktf;IxQ1B8$OF1S7v-q@t` z=3qUD1;|w%wkVZVVyz)O-(aYQwcV#U zKnBvcBHg@8r5|$dai-tz-Vr7l$acDSsd>V^FJiUU88;};P1@`bi-OgXUdk1vmM?Gj z5R3;3DIUmH0MylGHtWJo+GOz}re`1W>QX22@u*Ke);syA3z7s*%M1`n5}s`K@WjUf z6?P>j1S-^D2~bD<91)T`oRHM924`4wc>e1*yxP!H)H|&~VhaIpw%x+>59O#`utNPs zfUtl0-BhRn9BgK!uA}upXx*v3;7KTt@&2Ltu>*+{Ep;fQ8Y>-eBuHyElzcH?#&At` z%*pVW^}tE3spNhHS~GfN)B7F;%^b2ZL~Ns7J<9n}PLg0gMb3&EO)uPU&pR53R+0|n z$%GPTqNt2U6KCNOaZWk)C*!|FYO}`5Fu?Q%b(8_|0W?I;AaSa8Zk~tzXcA&Wc}A5- zOy%%vp5cW5PG2NbwS>C^BWX0BRiP9RV5;$Q>-dydG2R}?HhfhYZG_J^=rbrmNwP!z zDP+UIM$MDIZ8{D@np%g*&_T!{z2nnSZ1Oi zbHA^aNe-)ibfadJz+p;vyGg=Xs08M2#9iS}eck&yGhP0cvnGYg5ONzv%t%(1{0ON= z--b-6_ZL*psA~}roU*0i;2$Uq1q2J7rmCEric*DRXMRPv2aXM7PsX#3jn)cLyn|w< z)P<8!DWMefvz;rH>Pkce6`+zAU$}W)IUP{M4zj>W-(cdPkx5j%va42fIL?)lz7Y@u zG_Vb*Xv3gWegFkB@X;>Z04D~rw{A9-uwPku=>LMx_%zpka$Z4DC~7Da1F;dq>mlM< z{4GI`eLd<&TF>vT-z4`r!ULFHGe#NOK++@*)_|uR7CysfW{EP-86kiOG$qrrEUw{} zj#!r5kS#>nwioP;4VS2>AtSvV*>ILJDl`-KUv7X61m5{whXtLDctR`zYy#43?# zsJ{?C#Cm|+>4mRI>*L{Is&-1LD%i;bk&YsjG_wYiw9KwY{AFTyq?DOw><;B*OBTq3 zxODk|H(OCqpa)?KG`CF*VI8&HHt{G{%t&vbdXgq?hvr9*2ne4~2iX=4cYYr%8Hl|i zZMg=yA>O7fy;3tg#1YJt+dYex65crMQ?;f-rO zYo;Uu)k2GEz>E99ocL-60Z%3O!GLJx5$TH!L%u@!l^w17LdhC700eC*m5RF6R>G#h ziNM4RBiF}>&dzlrBXX4`&p%8qcxYax4=@wTWR`Sv*1Xto+j>Jo?i58BNF@+CMo_iN8~@{HwM9sPK9=p)v~$dSV?r0~m+r-nL_Ue+gFPz61y? zEWqDTZmofaKCfl3@p>UEi;9yKyThH=cwq6l`q?)w7~^46(kKMbT3C+2Cn%+1eQJSm zfzvcOIftYtu`p_QeyleEOM~Ah5*3)*z&j*yKgpxU2J{qxoXal>{dqs3sYfNNBsFYOrwSeUJ3xdcO->?7(3+%Lp^v$aDolE( zRP+Q%G8If#C_K^0nvDQ5< za*uWHajARc$j?y5Z2NL%(HqX-S8z_R-%%U|}8U;UZ zODj2K50rLw@zOXfZ+lGY<`V~V^eRmPIPyx8#>q@c=1=0Yd~TIl&vdA(mJyZFl>Z!D z9D`d!XCA(eb)z?dXuu6guM4=*uFFY40_OcR0AgVc$1eL)dvF4GcA7>9XyL1!g$J_3 zA&dgr9I4EUW-!3^VSNlSM9)7(RdE^G4Pd+>Sq=juy%22Y_WJ}IxDf6!6n@l?iyqLy zwtkBUCPC=Lk3-~>V<18q2GMCiba;5|cQEjOMBnr(!IO0kwsi+CF8V)hPQP`-RmvDS zh%|ByoMF|7=W_&Eb(2T&`JW}lBebg+7JyYFWR)WFvC1I|vI?UxQ}vfV<7ZVV_=`RG z#{lmN2CGKeunk5E&aFZ{v=USbBR-{|D{ELglq^d_N{#<;chb?}^>=%cUVw?qs<3e9 zAQtP^;ri-0jyTaU!6{xn0y(g@{$T3TDUu^e*ZS}@$l6~Vt~GZ;&}kl6P?6+V>hP!$ z&x+2)wV?g1grEAlPhYJ4`&7>mwzO#vM{65iMflh_S3fm>2; zeW1Wpi6-Qo1>!N+KxKzFeg-VpI7in^U#N!RD>1p}GScD=49p~SL$Mst7n0*|3|3gx zA*YkWb|RjBpAFM6at8}S6In}c^BLy0HY#*2Jb-EEv3j)^myxFy_Av0ZCAHuo#=bV; z&IMMw7o`CQe#_}A3AF<;aeGXo%JFFBH#X|(?O}!Gd84EgM+;3+xdRdks{f9n0@okS zt~>k~v-}Bi<-UdeeI2b^LoG+)?_`WX{>HBln6C+bElZx<(fUxRjl2CM=>JgL@x8oy zHrEI+Y<$8ak5FgWa|`#eZ(D(F?Q$`UynYj}$weR&&?sv!E=?$Uitzfs zX)io{9gH+0V-83D1BEGdK1*Hfy`IBTadHZ8sMJzr>yxiU?yz8$4$C!Pi3@Fs4o~M! zEubQNudZy~dsMh{qkcOoeD9l)gOy%`Q*ZW$k|*Sj!w0PA>&Q;#%Eo)SF*AP|8=Cic z46i<>_i5zK9S^eg<9V^+wQuwulL!+@m2w0#OwE}+`7n3=)u6V5TtEccY?{seD?m|G zCZivZNp457SHN0c&jDIcETaKZR{m|sRsQ=sxB-~tu#ECw+E)Q%+hTEt&~A=RITFTp zQwBLg-immD^a9G7Y_)2OnntQg2ab;RoCgpSuVMA@P>KI#8-v`sz(yL%FP~_B!@XiS zFc{uCNqWO%xw;%>#Gw$;|8USh!ufYjm8$1Ig0i}Cwyea_@bC}ymCP{^odX%s%XEDXvpQOInsFO4mVXa%FdOciCh~@- z`!3g~Ng6&wD%R0*T^*i6JcH>#S>o#4sq$gi*Sm+U5_lJqP(GUxthZ4q#(g~2!zo)z z9h7?s1mZ&CP@4&7AmZoY`4iF%9%v^&o&xQJ7_L!(qqzqP5W+k55ProWTognogu!PR z1Yr>pmdEJdQ3a=W7~?6bIB6+XtuBZ`Mi>DMoM;)^1O7|4IcRQN(gBYWI-kZgD*kX3JiDRsSe7KlEwuUe$pUF z9%-+#KI#EMko=?-3X-L$I9Lfj{!0>bF0qEHwu6~)0y zQ1MTGDiB7X7(;pkVT8Y=L1|$a0UgN92EzSWPYCN3CC+6pICTvVtKv?DXK|OF=?HK7 z9N;hsBhCV*H!nUNaaxqf00vsZ*DcU1TnXD68W+jGc&cI#R=Wyf6uTWhAcnJD<&9Fr z9t;T6pZ8IcJerW`oigVMFAVc(=!!P`eV+(U4I7=w(X?!?!VrM8A?h?Lzf=}7|BU2; z?5Bx|b*AZ@9~)X-fhY8M8d6UCa&f~q6_zuuIpGfGLmndS9a*aq3rx*t;> z^mlS?5KhF6JF;aM956lX>eBpa0 zjRQgkYAnC2mI7w7!gJFrY)2Hp;T|-&3p1MUUdB;%-_D0r9Y<#f1F!STFS-@moIl^6 zuf&(~3-H34jo=IRU}1xPuokwY{EAX3h2MR|FX+d4Exa}M7Tz*;)6V>y4ot2h!+geA zp20Yekq|%AY;nArOAr3?HyAEZN{-y!dgz_tW%%AiC0pr`ci2N$`3*O@v#u848C=4- zfMDpzZ3Cf|ckIE5-nkfZ@k@OBvc^@(+iqL7IKE?9Lt`ScqG3fmRTEFORK&NfY`!y6 zzq)=|JQc6Ra*O5lw=TbJAUdldlsn4H-ncT-*pOJWGQOkvj>wYwM191|&aBMC?8sM* ze9vMzwG`X8^v)&C^~vSS;@cKSR;^sVx}iA^2Qd||i1$SrS0*AWn;PKyvDn6jB^Z6# zjN4J5u(;=vOv2L{>IOz}l6~;8Jt5YxL$-k!6keFTSlQnNW5a zG1?Q2gmTAtI9A=+n5b`IeQL0<1}K{MM5l#vIc!I=&V&o8Ez}g<*N}?_^(T_giWk@zIX}E1! zBWQqtRV;z90%Y0}w9m1j+(#_fHV0NAV9O~w(;A@+05;cxZTG--EQutRt!Rie8K$H7 z`b46E#Wy$ZiJlP3O}3f(yiD7cL>4ETS2v(iLUZmnZ?K$T<`qo|Z~{GI@yf;ox_gai zne8i=M=tyD`R}haedNOtp=}mvJ0+C+vPI!zP3`6HjWnUlS+U-+Dv35+z6_eHh23mf zVpS-&*k;`B@pMPy$|b0huc@0Fnju1~(XB+)EKh>BXWNXv5|=M)yhAfe#UL48Mpcc> z_{U>xZ9R^Vjm`Co8*ICSjig~ubY>{G%YyeUYcyiAZDo^4$!gc=XmbVstOehmSh+H? zqQ3D?bj!s{>w(_iGgNjVK9pUMZS@seE&>`CcvzMso1j0@t9CR*uDCn`MQvIHkd+O~ z_h8v??oNd!1AVd>y;C{Ay|Gcd5^4`Z67`LDSQUmELj0G2{@JMM z;v+{^PfhRX!=+F&ES>5y~}rSg8LS8dt&u+`iOgvRJ6wXt7OmK{`N}m7&F3c}95vG0`_OSB%NtfV#J4S{?QV{M zc!P(~ z38UZzR*P^4gpAaHP*EWw#SxpauW@DLvc|>Dpt^n)i)%U8YZYqc22_QHMAe^dZm|~o zkFqU`+NgiD4H{_mvL$pA$Ub^JELy0k6;Fxg^`ua4v(3w9(Y!lcUS;SuC7ae!G!eao zJ<(Z^f19~a{4?0#__n3>tI%}|I}=3G2m{3njGG1ZIooF6?q%P>?DdUsENo)}m2^kx z1&`s}`Ev zS7;206Jk9K=Kzcz6w0mfK)n_ga|pJs0LE$c39)mv77R|W(YQOBpg>nNB&?VdBT7J~ znN-uTb0^zOJ~a(}*@#>rLq_f|m~BwW_ehnBEooQ*(_$J5eHrSu;dawdaIQl+9t@-Y zuy7ANLnEQXf&{1WnwKnVL`ImqCe@Q0Y%X6t#6pP|EybZ8iH4R??q&;Gz(lGnL;W5s z!Op$Y!a>yhO`~vH1DG38ZKyVUmdQ3ppJ&^*K_M?`SWe%sQUrT@L!@5R50&-OdbG4p zzrrj>C{fS^u&%36WolaFn-lL7sS>%Yt%17lDNCF!=mqaV|=si)_N zBB5vNSuXxZm9~k~17XEmO>U1yA~F05)MCZTCChHJ0@HV=RkPdf0OOjIwDYESZKuOS z51!WB4xh9Z@$Jr8Z}L0qAGBpc6u=yK^w8w66ZO#eroq_z=y##_&9>0np{W`Z@D$=Z zbnFm;^|CUCP5{Rm&djSAi>e@-k-$p&Nc5tcpe{rjD3Us4naLpwx>mo%*vZWir8X#i=ue&SIf(D6g_83JT?*(z1RV zN2VNGqOruGMENpFrB(EeT>-;klr4Mvl9jLpbR%}aMN2G3U-qP9JBP^}BvamGXi^`N zW55D@gGHmsQ)+~77?yg}sC!FlIuU%*e&B{)7<$S`)K;T!IR>QY9H@qHf^5uR6DV#K zESi@~i`#B;HAA*!G<6$>eN9Mf5kpTlo{q(^M6*X}aKQ;I{)>>msVBLHFZF{1_*<|@ z0!#h=|3!TaulAz_`8#NSGv;^5{0^JnEPwBQlB|@7Pv<7QV~HF&jOihB+)cRiZudFe zegIYranYs@$+x8K_ITF=WP5r&@gOjb`0NACjOAhxxT3;UzF5L%0iHubSNTg=M2i)F z5;M$}BXaBk+ogO$g--aq+KI?A#3Ha_p(hbou@I1tc<+?8X2-?ta->gd>D%cgwyzlC0z*DS0F-{ zd$(1CZZ8GMy|7LS9sS*Me z1KDF+3KE~v#8EgdK%{dv*`d26?u~H%J)`(YD$)4zh%&J>J=>t4d2NrJ0>H&JzWXw# zq8QyH0vz4dC_~fX`lE>lvcFs7Pam2MyT z)Q|boYq82Xs~fgiInu~^lQG96WR;f=QmCB}Bq^L2PSQF)BzHrDPOQNzRWzE~&3R&S zCyMDKM&$<~eZ%r=?}W+fn>kRKl8NK}>gal6YQ-Hdl})$Tf-aQDc_yIRz@v5aQO=#} z17DHnS+?j~L}WnXK(tmqlU%a_4Ou|C+y@SEsI4Ii9QJ|&`OmJj-;HOah_p|ZxgAhu zj-Pbv?ipRj+(9TG1uUw?sqvw)ldD}bIh6wh8`#eXVixXmBH_|FF^rpEX0W5+b>f@} zz!{>VxYb$KtPgXUCYG$9izyJ2VY~SL+(*z+O@;IIJ_@yvrl`L%ZV?|4So(J!1`^dP z-eh_G%(EkIugK;zTRz zJ*B=zf1?o`t}KtxRa`ViGrBjoUYimt@PL@d)v@ealcf%2w_b{uEEY{6{f+VnyFE#c zm=qemw^Za%o__>u%Y)Xrl3PA}t%-)21UhzM%33NrLLiE(_nXw!Q(Jz{_o;- zX<#irCg6VTYf#FiTjeXbt^-^6xa6T9_=bY==;Iz1BLQxK!im9sui#~ivWA1{_AJB! zZ`1fj!TD!6b(&&CiY+E7i;;qZ8L`AU!2I!hoM{VGn?267MHVLxl41A=(;ST(uA&~8 zmX>dJovV-UXd<-8{8*;7S)LRYmIu^Z!GUB6S9_N!SB=18x|s5vg)OH1qPy_y+V$9~ zBQoB#5Vqdyg8T1eHFtxr{3?0$uI{2GT{CV;5E+pd9O7dxvaY%YlW0 zh^vTC8*eqAa8?+!9sd~!aS;Kr+(Gb@4?-MMKwRk{_{j$$PA(wkI0$}n5YcMN{Lx;r z@7M!;zjg(;3%}xHg}KI3dIa@@Pu<8m2)G2edsAID_H{Gb(Ip>ei#it$N%bMP%eAuI zd}l*gw?r2CV3#W|q0YkT2;u()SfROy%h^>0(G{t1$#O&90xa)T5S9%Yf~Ny_9+HOR zCblAn5U0LPn6H4x-PXBoa6~B)_Yse%8`sy%jla-*W)H62A&m8kg_qco6twk`845`*6gHPtWrX z^o5(rd#qKTgPPxh%Z4h;&%@q-x}435@~0vyVkuBL(P_`(lX_Enb}ly2R`a%p&NveI zaPMXEfJK}?M{~+rZ=U@MDLWQb)DvH2`R!qFQ7382e z$XBu=xXz(%dJ=aE;Ht>M5?RosH~c^By$^hxRh2(HDIEx6ENet%`1SSvP83qn6!J+A=Mr8L+zqL`}r&%nt7h*-h1x3=bU@)x#ymHZ|5A48#R#^Ut=4{n-Sk{>BSg&{yF4jzD(w1&paU7YCFJh2Cw z*uc43k)x21v*9`jsC0R}X`nRvmmR0VGiZywll395?8vv-@nNd@08+V9?bj+WSu-e| zmF_BP#o8_SngPrJDTT)1A|LX-Ce}baS=*FJ=V_0T9I|bW9jcpm8kjsLE?-O6ViUFm zqD_+2!UM`^G}N)~8gN_T1mwoI)zBc>=og~Dhks)?KB3XvcKA|h=U@mkF7Aq6k0uN= z{~ypfp%6wbfGV4iWyI(g-~)`Wj^tb_dAy%q|B@Ys$Q_++9?K^H2u?g#W^@Av>8ASskW1o6*7Rb65&`NBDiuY zU-Og&iVZZnRl5uILyp3yn;cGb9_2s-Y0QV_xQ!_uV_+>3IY9bUX{7(q2X;V85h>%^ z!p`87gS!Km2ILeeu*Zx%FFD=Yjyz|eJn%lqG3Mzwz>_2rlKoQ07p=47VMoZg$I*3Q zxO0BWY?zuw_2(q})OM4=YnhBuB3T~RGu*E_;vc zeBqO{gK#*)UQR|te#jHxN^8m@1YEI=FvpAI#VG`JKui(mA|{3rx-Uvk6j&0 zw>YI;IX2fle9D~dg7F*V!Qn2mK_1hlA`h`<4d^58*2a=P60Qy#o8INz7{G=I@9+37 zX%z73&^l3400FH-NfCR)Dz4zKKS=SI6&bnfSW3u{eT{Lf2tI|^;s^00T5ie~ymGva zrh@+=8SPz-$6`{e#!X#ty=3y5bDn|EtI{hh8SE84^Q<|L1>#0N@AV8kCHpyq@S